diff --git a/.github/workflows/report.yml b/.github/workflows/report.yml
index 60990b24ca..2ba1b6252d 100644
--- a/.github/workflows/report.yml
+++ b/.github/workflows/report.yml
@@ -26,7 +26,7 @@ jobs:
     - name: Grab Needed Data
       run: |
         wget -q  https://nvd.handsonhacking.org/nvd.jsonl
-        wget -q https://raw.githubusercontent.com/CVEProject/cve-website/dev/src/assets/data/CNAsList.json
+        wget -q https://raw.githubusercontent.com/CVEProject/cve-website/main/src/assets/data/CNAsList.json
         ls -lh 
     - name: Run Notebooks
       env:
diff --git a/CVE2016.ipynb b/CVE2016.ipynb
index 2edf6e1ca6..1e3177f3c2 100644
--- a/CVE2016.ipynb
+++ b/CVE2016.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:10.424213Z",
-     "iopub.status.busy": "2024-09-13T08:21:10.423801Z",
-     "iopub.status.idle": "2024-09-13T08:21:11.067809Z",
-     "shell.execute_reply": "2024-09-13T08:21:11.067136Z"
+     "iopub.execute_input": "2025-02-02T04:19:44.332234Z",
+     "iopub.status.busy": "2025-02-02T04:19:44.332055Z",
+     "iopub.status.idle": "2025-02-02T04:19:44.989314Z",
+     "shell.execute_reply": "2025-02-02T04:19:44.988760Z"
     },
     "tags": [
      "remove-cell"
@@ -100,10 +100,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:11.070371Z",
-     "iopub.status.busy": "2024-09-13T08:21:11.069938Z",
-     "iopub.status.idle": "2024-09-13T08:21:30.630294Z",
-     "shell.execute_reply": "2024-09-13T08:21:30.629625Z"
+     "iopub.execute_input": "2025-02-02T04:19:44.991423Z",
+     "iopub.status.busy": "2025-02-02T04:19:44.991024Z",
+     "iopub.status.idle": "2025-02-02T04:20:08.752291Z",
+     "shell.execute_reply": "2025-02-02T04:20:08.751719Z"
     },
     "tags": [
      "remove-cell"
@@ -226,10 +226,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:30.633064Z",
-     "iopub.status.busy": "2024-09-13T08:21:30.632850Z",
-     "iopub.status.idle": "2024-09-13T08:21:30.648606Z",
-     "shell.execute_reply": "2024-09-13T08:21:30.648045Z"
+     "iopub.execute_input": "2025-02-02T04:20:08.754453Z",
+     "iopub.status.busy": "2025-02-02T04:20:08.754267Z",
+     "iopub.status.idle": "2025-02-02T04:20:08.764441Z",
+     "shell.execute_reply": "2025-02-02T04:20:08.763882Z"
     },
     "tags": [
      "remove-input"
@@ -274,10 +274,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:30.650868Z",
-     "iopub.status.busy": "2024-09-13T08:21:30.650664Z",
-     "iopub.status.idle": "2024-09-13T08:21:30.672393Z",
-     "shell.execute_reply": "2024-09-13T08:21:30.671880Z"
+     "iopub.execute_input": "2025-02-02T04:20:08.766262Z",
+     "iopub.status.busy": "2025-02-02T04:20:08.766079Z",
+     "iopub.status.idle": "2025-02-02T04:20:08.783371Z",
+     "shell.execute_reply": "2025-02-02T04:20:08.782815Z"
     },
     "tags": [
      "remove-cell"
@@ -309,10 +309,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:30.677056Z",
-     "iopub.status.busy": "2024-09-13T08:21:30.676521Z",
-     "iopub.status.idle": "2024-09-13T08:21:30.960273Z",
-     "shell.execute_reply": "2024-09-13T08:21:30.959588Z"
+     "iopub.execute_input": "2025-02-02T04:20:08.785351Z",
+     "iopub.status.busy": "2025-02-02T04:20:08.785037Z",
+     "iopub.status.idle": "2025-02-02T04:20:09.010682Z",
+     "shell.execute_reply": "2025-02-02T04:20:09.010091Z"
     },
     "tags": [
      "remove-input"
@@ -321,7 +321,7 @@
    "outputs": [
     {
      "data": {
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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -355,10 +355,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:30.962895Z",
-     "iopub.status.busy": "2024-09-13T08:21:30.962389Z",
-     "iopub.status.idle": "2024-09-13T08:21:31.151602Z",
-     "shell.execute_reply": "2024-09-13T08:21:31.150955Z"
+     "iopub.execute_input": "2025-02-02T04:20:09.012604Z",
+     "iopub.status.busy": "2025-02-02T04:20:09.012278Z",
+     "iopub.status.idle": "2025-02-02T04:20:09.195122Z",
+     "shell.execute_reply": "2025-02-02T04:20:09.194553Z"
     },
     "tags": [
      "remove-input"
@@ -367,7 +367,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -403,10 +403,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:31.154100Z",
-     "iopub.status.busy": "2024-09-13T08:21:31.153621Z",
-     "iopub.status.idle": "2024-09-13T08:21:31.384984Z",
-     "shell.execute_reply": "2024-09-13T08:21:31.384394Z"
+     "iopub.execute_input": "2025-02-02T04:20:09.196973Z",
+     "iopub.status.busy": "2025-02-02T04:20:09.196643Z",
+     "iopub.status.idle": "2025-02-02T04:20:09.400560Z",
+     "shell.execute_reply": "2025-02-02T04:20:09.399992Z"
     },
     "tags": [
      "remove-input"
@@ -415,7 +415,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -451,10 +451,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:31.387137Z",
-     "iopub.status.busy": "2024-09-13T08:21:31.386951Z",
-     "iopub.status.idle": "2024-09-13T08:21:31.675163Z",
-     "shell.execute_reply": "2024-09-13T08:21:31.674605Z"
+     "iopub.execute_input": "2025-02-02T04:20:09.402644Z",
+     "iopub.status.busy": "2025-02-02T04:20:09.402290Z",
+     "iopub.status.idle": "2025-02-02T04:20:09.607589Z",
+     "shell.execute_reply": "2025-02-02T04:20:09.607103Z"
     },
     "tags": [
      "remove-input"
@@ -463,7 +463,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -498,10 +498,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:31.677498Z",
-     "iopub.status.busy": "2024-09-13T08:21:31.677159Z",
-     "iopub.status.idle": "2024-09-13T08:21:31.841879Z",
-     "shell.execute_reply": "2024-09-13T08:21:31.841334Z"
+     "iopub.execute_input": "2025-02-02T04:20:09.609441Z",
+     "iopub.status.busy": "2025-02-02T04:20:09.609097Z",
+     "iopub.status.idle": "2025-02-02T04:20:09.752217Z",
+     "shell.execute_reply": "2025-02-02T04:20:09.751631Z"
     },
     "tags": [
      "remove-input"
@@ -510,7 +510,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -543,10 +543,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:31.844359Z",
-     "iopub.status.busy": "2024-09-13T08:21:31.843997Z",
-     "iopub.status.idle": "2024-09-13T08:21:32.076267Z",
-     "shell.execute_reply": "2024-09-13T08:21:32.075641Z"
+     "iopub.execute_input": "2025-02-02T04:20:09.754179Z",
+     "iopub.status.busy": "2025-02-02T04:20:09.753838Z",
+     "iopub.status.idle": "2025-02-02T04:20:09.980487Z",
+     "shell.execute_reply": "2025-02-02T04:20:09.979911Z"
     },
     "tags": [
      "remove-input"
@@ -555,7 +555,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -600,10 +600,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:32.078808Z",
-     "iopub.status.busy": "2024-09-13T08:21:32.078408Z",
-     "iopub.status.idle": "2024-09-13T08:21:32.307601Z",
-     "shell.execute_reply": "2024-09-13T08:21:32.307003Z"
+     "iopub.execute_input": "2025-02-02T04:20:09.982461Z",
+     "iopub.status.busy": "2025-02-02T04:20:09.982050Z",
+     "iopub.status.idle": "2025-02-02T04:20:10.211032Z",
+     "shell.execute_reply": "2025-02-02T04:20:10.210516Z"
     },
     "tags": [
      "remove-input"
@@ -612,7 +612,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -668,10 +668,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:32.309855Z",
-     "iopub.status.busy": "2024-09-13T08:21:32.309665Z",
-     "iopub.status.idle": "2024-09-13T08:21:32.317761Z",
-     "shell.execute_reply": "2024-09-13T08:21:32.317284Z"
+     "iopub.execute_input": "2025-02-02T04:20:10.212807Z",
+     "iopub.status.busy": "2025-02-02T04:20:10.212631Z",
+     "iopub.status.idle": "2025-02-02T04:20:10.219837Z",
+     "shell.execute_reply": "2025-02-02T04:20:10.219419Z"
     },
     "tags": [
      "remove-input"
@@ -681,7 +681,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_1509a9c0_7282_49a2_93f9_28ad749aa2e4\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_02513fdc_b84f_4208_8a44_b66c114cdb55\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -691,7 +691,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -782,24 +781,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_02513fdc_b84f_4208_8a44_b66c114cdb55:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_1509a9c0_7282_49a2_93f9_28ad749aa2e4:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 50416, 64.0], [\"secalert@redhat.com\", 6533, 8.0], [\"secalert_us@oracle.com\", 3267, 4.0], [\"secure@microsoft.com\", 2885, 4.0], [\"cret@cert.org\", 2435, 3.0], [\"ykramarz@cisco.com\", 2215, 3.0], [\"product-security@apple.com\", 2104, 3.0], [\"psirt@adobe.com\", 1850, 2.0], [\"psirt@us.ibm.com\", 1671, 2.0], [\"chrome-cve-admin@google.com\", 1044, 1.0], [\"vultures@jpcert.or.jp\", 711, 1.0], [\"hp-security-alert@hp.com\", 646, 1.0], [\"security@android.com\", 608, 1.0], [\"security@mozilla.org\", 596, 1.0], [\"ics-cert@hq.dhs.gov\", 560, 1.0], [\"security@debian.org\", 422, 1.0], [\"PSIRT-CNA@flexerasoftware.com\", 422, 1.0], [\"security_alert@emc.com\", 337, 0.0], [\"security@ubuntu.com\", 157, 0.0], [\"secure@symantec.com\", 126, 0.0], [\"security@opentext.com\", 76, 0.0], [\"psirt@nvidia.com\", 40, 0.0], [\"secteam@freebsd.org\", 36, 0.0], [\"talos-cna@cisco.com\", 15, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 12, 0.0], [\"security@vmware.com\", 8, 0.0], [\"productcert@siemens.com\", 7, 0.0], [\"security-alert@hpe.com\", 6, 0.0], [\"browser-security@yandex-team.ru\", 6, 0.0], [\"secure@intel.com\", 5, 0.0], [\"psirt@huawei.com\", 5, 0.0], [\"psirt@lenovo.com\", 3, 0.0], [\"larry0@me.com\", 3, 0.0], [\"zdi-disclosures@trendmicro.com\", 2, 0.0], [\"secure@blackberry.com\", 2, 0.0], [\"support@hackerone.com\", 2, 0.0], [\"sirt@brocade.com\", 1, 0.0], [\"office@obdev.at\", 1, 0.0], [\"security@apache.org\", 1, 0.0], [\"cve@rapid7.com\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 50416, 64.0], [\"secalert@redhat.com\", 6533, 8.0], [\"secalert_us@oracle.com\", 3267, 4.0], [\"secure@microsoft.com\", 2885, 4.0], [\"cret@cert.org\", 2435, 3.0], [\"psirt@cisco.com\", 2215, 3.0], [\"product-security@apple.com\", 2104, 3.0], [\"psirt@adobe.com\", 1850, 2.0], [\"psirt@us.ibm.com\", 1671, 2.0], [\"chrome-cve-admin@google.com\", 1044, 1.0], [\"vultures@jpcert.or.jp\", 711, 1.0], [\"hp-security-alert@hp.com\", 646, 1.0], [\"security@android.com\", 608, 1.0], [\"security@mozilla.org\", 596, 1.0], [\"ics-cert@hq.dhs.gov\", 560, 1.0], [\"security@debian.org\", 422, 1.0], [\"PSIRT-CNA@flexerasoftware.com\", 422, 1.0], [\"security_alert@emc.com\", 337, 0.0], [\"security@ubuntu.com\", 157, 0.0], [\"secure@symantec.com\", 126, 0.0], [\"security@opentext.com\", 76, 0.0], [\"psirt@nvidia.com\", 40, 0.0], [\"secteam@freebsd.org\", 36, 0.0], [\"talos-cna@cisco.com\", 15, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 12, 0.0], [\"security@vmware.com\", 8, 0.0], [\"productcert@siemens.com\", 7, 0.0], [\"security-alert@hpe.com\", 6, 0.0], [\"browser-security@yandex-team.ru\", 6, 0.0], [\"secure@intel.com\", 5, 0.0], [\"psirt@huawei.com\", 5, 0.0], [\"psirt@lenovo.com\", 3, 0.0], [\"larry0@me.com\", 3, 0.0], [\"zdi-disclosures@trendmicro.com\", 2, 0.0], [\"secure@blackberry.com\", 2, 0.0], [\"support@hackerone.com\", 2, 0.0], [\"sirt@brocade.com\", 1, 0.0], [\"office@obdev.at\", 1, 0.0], [\"security@apache.org\", 1, 0.0], [\"cve@rapid7.com\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -834,10 +832,10 @@
    "id": "03a397e2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:32.319899Z",
-     "iopub.status.busy": "2024-09-13T08:21:32.319714Z",
-     "iopub.status.idle": "2024-09-13T08:21:32.326098Z",
-     "shell.execute_reply": "2024-09-13T08:21:32.325621Z"
+     "iopub.execute_input": "2025-02-02T04:20:10.221635Z",
+     "iopub.status.busy": "2025-02-02T04:20:10.221330Z",
+     "iopub.status.idle": "2025-02-02T04:20:10.227140Z",
+     "shell.execute_reply": "2025-02-02T04:20:10.226704Z"
     },
     "tags": [
      "remove-input"
@@ -847,7 +845,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_c55672bc_7f93_4095_a7c2_02a2cc6b6889\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_47fdcd10_29d1_427b_9166_f43dd76e2d1f\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -856,7 +854,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -947,24 +944,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_47fdcd10_29d1_427b_9166_f43dd76e2d1f:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_c55672bc_7f93_4095_a7c2_02a2cc6b6889:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"NVD-CWE-Other\", 23997], [\"CWE-119\", 7122], [\"CWE-79\", 6836], [\"NVD-CWE-noinfo\", 6686], [\"CWE-264\", 4691], [\"CWE-89\", 4244], [\"CWE-20\", 3973], [\"CWE-200\", 3073], [\"CWE-399\", 2395], [\"CWE-310\", 2196], [\"CWE-94\", 2032], [\"CWE-22\", 1931], [\"CWE-352\", 1205], [\"CWE-189\", 1170], [\"CWE-287\", 1004], [\"Missing_Data\", 831], [\"CWE-255\", 615], [\"CWE-284\", 531], [\"CWE-59\", 442], [\"CWE-416\", 422], [\"CWE-362\", 391], [\"CWE-787\", 341], [\"CWE-254\", 254], [\"CWE-16\", 245], [\"CWE-78\", 217], [\"CWE-476\", 184], [\"CWE-190\", 180], [\"CWE-134\", 170], [\"CWE-17\", 159], [\"CWE-125\", 152], [\"CWE-19\", 137], [\"CWE-120\", 102], [\"CWE-77\", 84], [\"CWE-400\", 83], [\"CWE-269\", 50], [\"CWE-74\", 38], [\"CWE-295\", 36], [\"CWE-908\", 32], [\"CWE-611\", 32], [\"CWE-772\", 31], [\"CWE-193\", 31], [\"CWE-415\", 29], [\"CWE-434\", 26], [\"CWE-798\", 26], [\"CWE-426\", 25], [\"CWE-667\", 25], [\"CWE-835\", 25], [\"CWE-601\", 24], [\"CWE-863\", 24], [\"CWE-345\", 24], [\"CWE-732\", 24], [\"CWE-502\", 22], [\"CWE-88\", 22], [\"CWE-326\", 22], [\"CWE-312\", 22], [\"CWE-203\", 22], [\"CWE-369\", 20], [\"CWE-824\", 20], [\"CWE-401\", 20], [\"CWE-191\", 20], [\"CWE-704\", 18], [\"CWE-276\", 17], [\"CWE-843\", 16], [\"CWE-178\", 15], [\"CWE-131\", 15], [\"CWE-346\", 14], [\"CWE-327\", 14], [\"CWE-770\", 13], [\"CWE-665\", 13], [\"CWE-522\", 13], [\"CWE-285\", 13], [\"CWE-330\", 13], [\"CWE-425\", 12], [\"CWE-918\", 11], [\"CWE-319\", 11], [\"CWE-532\", 10], [\"CWE-909\", 10], [\"CWE-129\", 10], [\"CWE-668\", 9], [\"CWE-862\", 9], [\"CWE-306\", 9], [\"CWE-459\", 9], [\"CWE-388\", 8], [\"CWE-1021\", 8], [\"CWE-681\", 7], [\"CWE-617\", 7], [\"CWE-275\", 6], [\"CWE-113\", 6], [\"CWE-252\", 6], [\"CWE-347\", 6], [\"CWE-281\", 5], [\"CWE-916\", 5], [\"CWE-776\", 5], [\"CWE-307\", 4], [\"CWE-18\", 4], [\"CWE-338\", 4], [\"CWE-384\", 4], [\"CWE-494\", 4], [\"CWE-331\", 4], [\"CWE-367\", 4], [\"CWE-199\", 4], [\"CWE-172\", 4], [\"CWE-428\", 4], [\"CWE-669\", 3], [\"CWE-552\", 3], [\"CWE-93\", 3], [\"CWE-444\", 3], [\"CWE-829\", 3], [\"CWE-1284\", 3], [\"CWE-674\", 3], [\"CWE-640\", 3], [\"CWE-209\", 2], [\"CWE-404\", 2], [\"CWE-212\", 2], [\"CWE-755\", 2], [\"CWE-427\", 2], [\"CWE-21\", 2], [\"CWE-682\", 2], [\"CWE-273\", 2], [\"CWE-763\", 2], [\"CWE-697\", 2], [\"CWE-332\", 2], [\"CWE-91\", 2], [\"CWE-565\", 2], [\"CWE-297\", 2], [\"CWE-294\", 1], [\"CWE-311\", 1], [\"CWE-470\", 1], [\"CWE-290\", 1], [\"CWE-116\", 1], [\"CWE-913\", 1], [\"CWE-917\", 1], [\"CWE-521\", 1], [\"CWE-361\", 1], [\"CWE-754\", 1], [\"CWE-613\", 1], [\"CWE-693\", 1], [\"CWE-834\", 1], [\"CWE-320\", 1], [\"CWE-775\", 1]];\n",
+       "        const data = [[\"NVD-CWE-Other\", 23997], [\"CWE-119\", 7092], [\"CWE-79\", 6843], [\"NVD-CWE-noinfo\", 6686], [\"CWE-264\", 4676], [\"CWE-89\", 4251], [\"CWE-20\", 4000], [\"CWE-200\", 3059], [\"CWE-399\", 2393], [\"CWE-310\", 2196], [\"CWE-94\", 2041], [\"CWE-22\", 1936], [\"CWE-352\", 1202], [\"CWE-189\", 1167], [\"CWE-287\", 1003], [\"Missing_Data\", 831], [\"CWE-255\", 614], [\"CWE-284\", 528], [\"CWE-59\", 451], [\"CWE-416\", 422], [\"CWE-362\", 386], [\"CWE-787\", 341], [\"CWE-254\", 252], [\"CWE-16\", 245], [\"CWE-78\", 226], [\"CWE-476\", 184], [\"CWE-190\", 179], [\"CWE-134\", 170], [\"CWE-17\", 159], [\"CWE-125\", 152], [\"CWE-19\", 137], [\"CWE-120\", 102], [\"CWE-77\", 87], [\"CWE-400\", 83], [\"CWE-269\", 50], [\"CWE-74\", 39], [\"CWE-295\", 36], [\"CWE-611\", 32], [\"CWE-908\", 32], [\"CWE-193\", 31], [\"CWE-772\", 31], [\"CWE-415\", 30], [\"CWE-798\", 26], [\"CWE-434\", 26], [\"CWE-835\", 25], [\"CWE-667\", 25], [\"CWE-426\", 25], [\"CWE-601\", 24], [\"CWE-863\", 24], [\"CWE-732\", 24], [\"CWE-345\", 24], [\"CWE-88\", 22], [\"CWE-312\", 22], [\"CWE-326\", 22], [\"CWE-203\", 22], [\"CWE-502\", 22], [\"CWE-191\", 21], [\"CWE-824\", 20], [\"CWE-369\", 20], [\"CWE-401\", 20], [\"CWE-704\", 18], [\"CWE-276\", 17], [\"CWE-843\", 16], [\"CWE-131\", 15], [\"CWE-178\", 15], [\"CWE-346\", 14], [\"CWE-327\", 14], [\"CWE-330\", 13], [\"CWE-665\", 13], [\"CWE-770\", 13], [\"CWE-522\", 13], [\"CWE-285\", 13], [\"CWE-425\", 12], [\"CWE-918\", 11], [\"CWE-319\", 11], [\"CWE-532\", 10], [\"CWE-909\", 10], [\"CWE-129\", 10], [\"CWE-459\", 9], [\"CWE-668\", 9], [\"CWE-862\", 9], [\"CWE-306\", 9], [\"CWE-388\", 8], [\"CWE-1021\", 8], [\"CWE-681\", 7], [\"CWE-617\", 7], [\"CWE-347\", 7], [\"CWE-252\", 6], [\"CWE-275\", 6], [\"CWE-113\", 5], [\"CWE-776\", 5], [\"CWE-916\", 5], [\"CWE-281\", 4], [\"CWE-494\", 4], [\"CWE-307\", 4], [\"CWE-428\", 4], [\"CWE-199\", 4], [\"CWE-338\", 4], [\"CWE-93\", 4], [\"CWE-18\", 4], [\"CWE-331\", 4], [\"CWE-384\", 4], [\"CWE-172\", 4], [\"CWE-674\", 3], [\"CWE-444\", 3], [\"CWE-829\", 3], [\"CWE-669\", 3], [\"CWE-367\", 3], [\"CWE-640\", 3], [\"CWE-552\", 3], [\"CWE-1284\", 3], [\"CWE-297\", 2], [\"CWE-209\", 2], [\"CWE-212\", 2], [\"CWE-697\", 2], [\"CWE-427\", 2], [\"CWE-755\", 2], [\"CWE-763\", 2], [\"CWE-404\", 2], [\"CWE-21\", 2], [\"CWE-273\", 2], [\"CWE-332\", 2], [\"CWE-682\", 2], [\"CWE-565\", 2], [\"CWE-91\", 2], [\"CWE-294\", 1], [\"CWE-311\", 1], [\"CWE-470\", 1], [\"CWE-913\", 1], [\"CWE-116\", 1], [\"CWE-121\", 1], [\"CWE-917\", 1], [\"CWE-290\", 1], [\"CWE-521\", 1], [\"CWE-754\", 1], [\"CWE-613\", 1], [\"CWE-361\", 1], [\"CWE-693\", 1], [\"CWE-834\", 1], [\"CWE-320\", 1], [\"CWE-775\", 1], [\"CWE-111\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1006,10 +1002,10 @@
    "id": "a6fe65a3-4607-4388-ab0b-6df705e5ba50",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:32.328246Z",
-     "iopub.status.busy": "2024-09-13T08:21:32.328067Z",
-     "iopub.status.idle": "2024-09-13T08:21:32.334987Z",
-     "shell.execute_reply": "2024-09-13T08:21:32.334385Z"
+     "iopub.execute_input": "2025-02-02T04:20:10.228991Z",
+     "iopub.status.busy": "2025-02-02T04:20:10.228570Z",
+     "iopub.status.idle": "2025-02-02T04:20:10.234447Z",
+     "shell.execute_reply": "2025-02-02T04:20:10.233975Z"
     },
     "tags": [
      "remove-input"
@@ -1019,7 +1015,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_03212547_f458_41ef_9a15_c11ef2f1c70b\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_e5bc1598_1a8c_4e90_9177_3ba7366ff020\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
@@ -1031,7 +1027,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -1122,24 +1117,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_e5bc1598_1a8c_4e90_9177_3ba7366ff020:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_03212547_f458_41ef_9a15_c11ef2f1c70b:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
        "        const data = [[\"2000\", 1020], [\"2001\", 1679], [\"2002\", 2170], [\"2003\", 1548], [\"2004\", 2479], [\"2005\", 5010], [\"2006\", 6659], [\"2007\", 6596], [\"2008\", 5664], [\"2009\", 5778], [\"2010\", 4667], [\"2011\", 4172], [\"2012\", 5351], [\"2013\", 5324], [\"2014\", 8008], [\"2015\", 6595], [\"2016\", 6517]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1183,10 +1177,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:32.337261Z",
-     "iopub.status.busy": "2024-09-13T08:21:32.337075Z",
-     "iopub.status.idle": "2024-09-13T08:21:32.799129Z",
-     "shell.execute_reply": "2024-09-13T08:21:32.798595Z"
+     "iopub.execute_input": "2025-02-02T04:20:10.236105Z",
+     "iopub.status.busy": "2025-02-02T04:20:10.235818Z",
+     "iopub.status.idle": "2025-02-02T04:20:10.615631Z",
+     "shell.execute_reply": "2025-02-02T04:20:10.615030Z"
     },
     "tags": [
      "remove-input"
@@ -1205,15 +1199,15 @@
       "CVE-2004:\t2671\n",
       "CVE-2005:\t4686\n",
       "CVE-2006:\t7047\n",
-      "CVE-2007:\t6510\n"
+      "CVE-2007:\t6510\n",
+      "CVE-2008:\t7034\n",
+      "CVE-2009:\t4888\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CVE-2008:\t7034\n",
-      "CVE-2009:\t4888\n",
       "CVE-2010:\t4951\n",
       "CVE-2011:\t4441\n",
       "CVE-2012:\t5200\n",
@@ -1251,10 +1245,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:32.801326Z",
-     "iopub.status.busy": "2024-09-13T08:21:32.801135Z",
-     "iopub.status.idle": "2024-09-13T08:21:32.805187Z",
-     "shell.execute_reply": "2024-09-13T08:21:32.804737Z"
+     "iopub.execute_input": "2025-02-02T04:20:10.617572Z",
+     "iopub.status.busy": "2025-02-02T04:20:10.617381Z",
+     "iopub.status.idle": "2025-02-02T04:20:10.623142Z",
+     "shell.execute_reply": "2025-02-02T04:20:10.622584Z"
     },
     "tags": [
      "remove-input"
@@ -1264,7 +1258,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:21:32.802031**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:20:10.618275**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1296,7 +1290,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVE2017.ipynb b/CVE2017.ipynb
index 3377a806c8..b17d5889bd 100644
--- a/CVE2017.ipynb
+++ b/CVE2017.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:37.499231Z",
-     "iopub.status.busy": "2024-09-13T08:21:37.499059Z",
-     "iopub.status.idle": "2024-09-13T08:21:38.166966Z",
-     "shell.execute_reply": "2024-09-13T08:21:38.166390Z"
+     "iopub.execute_input": "2025-02-02T04:20:15.502102Z",
+     "iopub.status.busy": "2025-02-02T04:20:15.501933Z",
+     "iopub.status.idle": "2025-02-02T04:20:16.138509Z",
+     "shell.execute_reply": "2025-02-02T04:20:16.137890Z"
     },
     "tags": [
      "remove-cell"
@@ -101,10 +101,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:38.169565Z",
-     "iopub.status.busy": "2024-09-13T08:21:38.169154Z",
-     "iopub.status.idle": "2024-09-13T08:21:57.697813Z",
-     "shell.execute_reply": "2024-09-13T08:21:57.697258Z"
+     "iopub.execute_input": "2025-02-02T04:20:16.140580Z",
+     "iopub.status.busy": "2025-02-02T04:20:16.140213Z",
+     "iopub.status.idle": "2025-02-02T04:20:39.645973Z",
+     "shell.execute_reply": "2025-02-02T04:20:39.645309Z"
     },
     "tags": [
      "remove-cell"
@@ -227,10 +227,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:57.700326Z",
-     "iopub.status.busy": "2024-09-13T08:21:57.700137Z",
-     "iopub.status.idle": "2024-09-13T08:21:57.706139Z",
-     "shell.execute_reply": "2024-09-13T08:21:57.705685Z"
+     "iopub.execute_input": "2025-02-02T04:20:39.648193Z",
+     "iopub.status.busy": "2025-02-02T04:20:39.648004Z",
+     "iopub.status.idle": "2025-02-02T04:20:39.653277Z",
+     "shell.execute_reply": "2025-02-02T04:20:39.652796Z"
     },
     "tags": [
      "remove-input"
@@ -240,7 +240,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **18113**<br />Average CVEs Per Day: **49.76**<br />Average CVSS Score: **7.5**"
+       "Total Number of CVEs: **18113**<br />Average CVEs Per Day: **49.76**<br />Average CVSS Score: **7.49**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -275,10 +275,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:57.708368Z",
-     "iopub.status.busy": "2024-09-13T08:21:57.708049Z",
-     "iopub.status.idle": "2024-09-13T08:21:57.716627Z",
-     "shell.execute_reply": "2024-09-13T08:21:57.716040Z"
+     "iopub.execute_input": "2025-02-02T04:20:39.654960Z",
+     "iopub.status.busy": "2025-02-02T04:20:39.654787Z",
+     "iopub.status.idle": "2025-02-02T04:20:39.663267Z",
+     "shell.execute_reply": "2025-02-02T04:20:39.662815Z"
     },
     "tags": [
      "remove-cell"
@@ -310,10 +310,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:57.718934Z",
-     "iopub.status.busy": "2024-09-13T08:21:57.718597Z",
-     "iopub.status.idle": "2024-09-13T08:21:58.407422Z",
-     "shell.execute_reply": "2024-09-13T08:21:58.406695Z"
+     "iopub.execute_input": "2025-02-02T04:20:39.665151Z",
+     "iopub.status.busy": "2025-02-02T04:20:39.664824Z",
+     "iopub.status.idle": "2025-02-02T04:20:40.346454Z",
+     "shell.execute_reply": "2025-02-02T04:20:40.345850Z"
     },
     "tags": [
      "hide-input",
@@ -323,7 +323,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 2500x300 with 2 Axes>"
       ]
@@ -359,10 +359,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:58.409885Z",
-     "iopub.status.busy": "2024-09-13T08:21:58.409504Z",
-     "iopub.status.idle": "2024-09-13T08:21:58.650451Z",
-     "shell.execute_reply": "2024-09-13T08:21:58.649915Z"
+     "iopub.execute_input": "2025-02-02T04:20:40.348455Z",
+     "iopub.status.busy": "2025-02-02T04:20:40.348036Z",
+     "iopub.status.idle": "2025-02-02T04:20:40.564522Z",
+     "shell.execute_reply": "2025-02-02T04:20:40.563921Z"
     },
     "tags": [
      "remove-input"
@@ -371,7 +371,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -407,10 +407,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:58.652859Z",
-     "iopub.status.busy": "2024-09-13T08:21:58.652421Z",
-     "iopub.status.idle": "2024-09-13T08:21:58.932620Z",
-     "shell.execute_reply": "2024-09-13T08:21:58.932065Z"
+     "iopub.execute_input": "2025-02-02T04:20:40.566509Z",
+     "iopub.status.busy": "2025-02-02T04:20:40.566181Z",
+     "iopub.status.idle": "2025-02-02T04:20:40.803575Z",
+     "shell.execute_reply": "2025-02-02T04:20:40.803066Z"
     },
     "tags": [
      "remove-input"
@@ -419,7 +419,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -455,10 +455,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:58.935061Z",
-     "iopub.status.busy": "2024-09-13T08:21:58.934745Z",
-     "iopub.status.idle": "2024-09-13T08:21:59.231296Z",
-     "shell.execute_reply": "2024-09-13T08:21:59.230686Z"
+     "iopub.execute_input": "2025-02-02T04:20:40.805574Z",
+     "iopub.status.busy": "2025-02-02T04:20:40.805153Z",
+     "iopub.status.idle": "2025-02-02T04:20:41.057219Z",
+     "shell.execute_reply": "2025-02-02T04:20:41.056606Z"
     },
     "tags": [
      "remove-input"
@@ -467,7 +467,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -502,10 +502,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:59.233649Z",
-     "iopub.status.busy": "2024-09-13T08:21:59.233465Z",
-     "iopub.status.idle": "2024-09-13T08:21:59.367267Z",
-     "shell.execute_reply": "2024-09-13T08:21:59.366685Z"
+     "iopub.execute_input": "2025-02-02T04:20:41.059135Z",
+     "iopub.status.busy": "2025-02-02T04:20:41.058952Z",
+     "iopub.status.idle": "2025-02-02T04:20:41.213583Z",
+     "shell.execute_reply": "2025-02-02T04:20:41.213066Z"
     },
     "tags": [
      "remove-input"
@@ -514,7 +514,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -547,10 +547,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:59.369655Z",
-     "iopub.status.busy": "2024-09-13T08:21:59.369239Z",
-     "iopub.status.idle": "2024-09-13T08:21:59.609707Z",
-     "shell.execute_reply": "2024-09-13T08:21:59.609163Z"
+     "iopub.execute_input": "2025-02-02T04:20:41.215386Z",
+     "iopub.status.busy": "2025-02-02T04:20:41.215204Z",
+     "iopub.status.idle": "2025-02-02T04:20:41.435391Z",
+     "shell.execute_reply": "2025-02-02T04:20:41.434865Z"
     },
     "tags": [
      "remove-input"
@@ -559,7 +559,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -606,10 +606,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:59.612136Z",
-     "iopub.status.busy": "2024-09-13T08:21:59.611790Z",
-     "iopub.status.idle": "2024-09-13T08:21:59.824511Z",
-     "shell.execute_reply": "2024-09-13T08:21:59.823910Z"
+     "iopub.execute_input": "2025-02-02T04:20:41.437173Z",
+     "iopub.status.busy": "2025-02-02T04:20:41.436993Z",
+     "iopub.status.idle": "2025-02-02T04:20:41.658669Z",
+     "shell.execute_reply": "2025-02-02T04:20:41.658069Z"
     },
     "tags": [
      "remove-input"
@@ -618,7 +618,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -674,10 +674,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:59.826857Z",
-     "iopub.status.busy": "2024-09-13T08:21:59.826514Z",
-     "iopub.status.idle": "2024-09-13T08:21:59.834505Z",
-     "shell.execute_reply": "2024-09-13T08:21:59.834051Z"
+     "iopub.execute_input": "2025-02-02T04:20:41.660653Z",
+     "iopub.status.busy": "2025-02-02T04:20:41.660232Z",
+     "iopub.status.idle": "2025-02-02T04:20:41.668063Z",
+     "shell.execute_reply": "2025-02-02T04:20:41.667603Z"
     },
     "tags": [
      "remove-input"
@@ -687,7 +687,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_94c59d91_c146_470d_a002_31810aeabe11\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_33a0c0f4_7567_45b2_8395_fa89350b808d\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -697,7 +697,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -788,24 +787,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_33a0c0f4_7567_45b2_8395_fa89350b808d:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_94c59d91_c146_470d_a002_31810aeabe11:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 6768, 37.0], [\"secure@microsoft.com\", 1475, 8.0], [\"product-security@apple.com\", 1073, 6.0], [\"secalert_us@oracle.com\", 979, 5.0], [\"secalert@redhat.com\", 908, 5.0], [\"security@android.com\", 762, 4.0], [\"psirt@us.ibm.com\", 718, 4.0], [\"ykramarz@cisco.com\", 598, 3.0], [\"vultures@jpcert.or.jp\", 468, 3.0], [\"cret@cert.org\", 460, 3.0], [\"psirt@adobe.com\", 431, 2.0], [\"ics-cert@hq.dhs.gov\", 364, 2.0], [\"product-security@qualcomm.com\", 297, 2.0], [\"psirt@huawei.com\", 246, 1.0], [\"security@debian.org\", 207, 1.0], [\"chrome-cve-admin@google.com\", 186, 1.0], [\"security_alert@emc.com\", 167, 1.0], [\"security@apache.org\", 163, 1.0], [\"talos-cna@cisco.com\", 140, 1.0], [\"security@opentext.com\", 139, 1.0], [\"psirt@nvidia.com\", 105, 1.0], [\"sirt@juniper.net\", 97, 1.0], [\"secure@intel.com\", 91, 1.0], [\"secure@symantec.com\", 78, 0.0], [\"security-alert@hpe.com\", 75, 0.0], [\"psirt@lenovo.com\", 73, 0.0], [\"security@vmware.com\", 73, 0.0], [\"support@hackerone.com\", 66, 0.0], [\"hp-security-alert@hp.com\", 66, 0.0], [\"zdi-disclosures@trendmicro.com\", 63, 0.0], [\"trellixpsirt@trellix.com\", 57, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 56, 0.0], [\"f5sirt@f5.com\", 51, 0.0], [\"larry0@me.com\", 51, 0.0], [\"security@mozilla.org\", 49, 0.0], [\"security@synology.com\", 46, 0.0], [\"psirt@fortinet.com\", 46, 0.0], [\"cve@rapid7.com\", 44, 0.0], [\"security@ubuntu.com\", 43, 0.0], [\"productcert@siemens.com\", 41, 0.0], [\"security@trendmicro.com\", 34, 0.0], [\"bressers@elastic.co\", 25, 0.0], [\"security@atlassian.com\", 19, 0.0], [\"cybersecurity@se.com\", 17, 0.0], [\"security-officer@isc.org\", 15, 0.0], [\"cve@checkpoint.com\", 15, 0.0], [\"security@qnapsecurity.com.tw\", 13, 0.0], [\"secure@blackberry.com\", 13, 0.0], [\"security@puppet.com\", 13, 0.0], [\"cna@sap.com\", 12, 0.0], [\"openssl-security@openssl.org\", 11, 0.0], [\"security@tibco.com\", 10, 0.0], [\"vuln@krcert.or.kr\", 10, 0.0], [\"sirt@brocade.com\", 9, 0.0], [\"vulnerability@kaspersky.com\", 9, 0.0], [\"secteam@freebsd.org\", 9, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 8, 0.0], [\"vulnreport@tenable.com\", 5, 0.0], [\"security@marklogic.com\", 5, 0.0], [\"46fe6300-5254-4a98-9594-a9567bec8179\", 5, 0.0], [\"office@obdev.at\", 5, 0.0], [\"mlhess@drupal.org\", 4, 0.0], [\"browser-security@yandex-team.ru\", 4, 0.0], [\"psirt@zte.com.cn\", 4, 0.0], [\"security-alert@netapp.com\", 4, 0.0], [\"patrick@puiterwijk.org\", 3, 0.0], [\"cybersecurity@dahuatech.com\", 3, 0.0], [\"vuln@ca.com\", 2, 0.0], [\"emo@eclipse.org\", 2, 0.0], [\"cve-request@iojs.org\", 2, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 1, 0.0], [\"jordan@liggitt.net\", 1, 0.0], [\"security@duo.com\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 6768, 37.0], [\"secure@microsoft.com\", 1475, 8.0], [\"product-security@apple.com\", 1073, 6.0], [\"secalert_us@oracle.com\", 979, 5.0], [\"secalert@redhat.com\", 908, 5.0], [\"security@android.com\", 762, 4.0], [\"psirt@us.ibm.com\", 718, 4.0], [\"psirt@cisco.com\", 598, 3.0], [\"vultures@jpcert.or.jp\", 468, 3.0], [\"cret@cert.org\", 460, 3.0], [\"psirt@adobe.com\", 431, 2.0], [\"ics-cert@hq.dhs.gov\", 364, 2.0], [\"product-security@qualcomm.com\", 297, 2.0], [\"psirt@huawei.com\", 246, 1.0], [\"security@debian.org\", 207, 1.0], [\"chrome-cve-admin@google.com\", 186, 1.0], [\"security_alert@emc.com\", 167, 1.0], [\"security@apache.org\", 163, 1.0], [\"talos-cna@cisco.com\", 140, 1.0], [\"security@opentext.com\", 139, 1.0], [\"psirt@nvidia.com\", 105, 1.0], [\"sirt@juniper.net\", 97, 1.0], [\"secure@intel.com\", 91, 1.0], [\"secure@symantec.com\", 78, 0.0], [\"security-alert@hpe.com\", 75, 0.0], [\"psirt@lenovo.com\", 73, 0.0], [\"security@vmware.com\", 73, 0.0], [\"support@hackerone.com\", 66, 0.0], [\"hp-security-alert@hp.com\", 66, 0.0], [\"zdi-disclosures@trendmicro.com\", 63, 0.0], [\"trellixpsirt@trellix.com\", 57, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 56, 0.0], [\"f5sirt@f5.com\", 51, 0.0], [\"larry0@me.com\", 51, 0.0], [\"security@mozilla.org\", 49, 0.0], [\"security@synology.com\", 46, 0.0], [\"psirt@fortinet.com\", 46, 0.0], [\"cve@rapid7.com\", 44, 0.0], [\"security@ubuntu.com\", 43, 0.0], [\"productcert@siemens.com\", 41, 0.0], [\"security@trendmicro.com\", 34, 0.0], [\"bressers@elastic.co\", 25, 0.0], [\"security@atlassian.com\", 19, 0.0], [\"cybersecurity@se.com\", 17, 0.0], [\"security-officer@isc.org\", 15, 0.0], [\"cve@checkpoint.com\", 15, 0.0], [\"security@qnapsecurity.com.tw\", 13, 0.0], [\"secure@blackberry.com\", 13, 0.0], [\"security@puppet.com\", 13, 0.0], [\"cna@sap.com\", 12, 0.0], [\"openssl-security@openssl.org\", 11, 0.0], [\"security@tibco.com\", 10, 0.0], [\"vuln@krcert.or.kr\", 10, 0.0], [\"sirt@brocade.com\", 9, 0.0], [\"vulnerability@kaspersky.com\", 9, 0.0], [\"secteam@freebsd.org\", 9, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 8, 0.0], [\"vulnreport@tenable.com\", 5, 0.0], [\"security@marklogic.com\", 5, 0.0], [\"46fe6300-5254-4a98-9594-a9567bec8179\", 5, 0.0], [\"office@obdev.at\", 5, 0.0], [\"mlhess@drupal.org\", 4, 0.0], [\"browser-security@yandex-team.ru\", 4, 0.0], [\"psirt@zte.com.cn\", 4, 0.0], [\"security-alert@netapp.com\", 4, 0.0], [\"patrick@puiterwijk.org\", 3, 0.0], [\"cybersecurity@dahuatech.com\", 3, 0.0], [\"vuln@ca.com\", 2, 0.0], [\"emo@eclipse.org\", 2, 0.0], [\"cve-request@iojs.org\", 2, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 1, 0.0], [\"jordan@liggitt.net\", 1, 0.0], [\"security@duo.com\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -840,10 +838,10 @@
    "id": "710b1f6e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:59.836686Z",
-     "iopub.status.busy": "2024-09-13T08:21:59.836301Z",
-     "iopub.status.idle": "2024-09-13T08:21:59.841884Z",
-     "shell.execute_reply": "2024-09-13T08:21:59.841371Z"
+     "iopub.execute_input": "2025-02-02T04:20:41.669781Z",
+     "iopub.status.busy": "2025-02-02T04:20:41.669588Z",
+     "iopub.status.idle": "2025-02-02T04:20:41.675420Z",
+     "shell.execute_reply": "2025-02-02T04:20:41.674930Z"
     },
     "tags": [
      "remove-input"
@@ -853,7 +851,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_622c0a54_8334_4034_b5d6_ce5d6a6ad3ef\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_4db3a58e_650e_48d9_ac20_456ef0da79ab\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -862,7 +860,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -953,24 +950,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_4db3a58e_650e_48d9_ac20_456ef0da79ab:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_622c0a54_8334_4034_b5d6_ce5d6a6ad3ef:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"Missing_Data\", 3470], [\"CWE-119\", 2109], [\"NVD-CWE-noinfo\", 1700], [\"CWE-79\", 1472], [\"CWE-200\", 1281], [\"CWE-20\", 941], [\"CWE-125\", 704], [\"CWE-89\", 504], [\"CWE-476\", 338], [\"CWE-352\", 314], [\"CWE-264\", 290], [\"CWE-416\", 273], [\"CWE-22\", 266], [\"CWE-284\", 262], [\"CWE-787\", 241], [\"CWE-287\", 227], [\"CWE-190\", 214], [\"CWE-295\", 175], [\"CWE-772\", 166], [\"CWE-78\", 155], [\"CWE-426\", 138], [\"CWE-400\", 132], [\"CWE-611\", 106], [\"CWE-77\", 100], [\"CWE-362\", 97], [\"CWE-269\", 94], [\"CWE-798\", 94], [\"CWE-601\", 93], [\"CWE-835\", 92], [\"CWE-434\", 91], [\"CWE-94\", 87], [\"CWE-732\", 83], [\"CWE-254\", 81], [\"CWE-399\", 72], [\"CWE-502\", 68], [\"CWE-74\", 66], [\"CWE-369\", 51], [\"CWE-415\", 45], [\"CWE-255\", 43], [\"CWE-918\", 42], [\"CWE-862\", 42], [\"CWE-326\", 41], [\"CWE-427\", 39], [\"CWE-120\", 39], [\"CWE-617\", 39], [\"CWE-770\", 38], [\"CWE-522\", 36], [\"CWE-59\", 34], [\"CWE-384\", 33], [\"CWE-19\", 33], [\"CWE-704\", 32], [\"CWE-306\", 32], [\"CWE-532\", 29], [\"CWE-863\", 28], [\"CWE-834\", 28], [\"CWE-319\", 27], [\"CWE-327\", 27], [\"CWE-275\", 25], [\"CWE-310\", 24], [\"NVD-CWE-Other\", 24], [\"CWE-276\", 24], [\"CWE-330\", 22], [\"CWE-665\", 22], [\"CWE-281\", 22], [\"CWE-129\", 20], [\"CWE-189\", 20], [\"CWE-1188\", 19], [\"CWE-668\", 18], [\"CWE-134\", 18], [\"CWE-640\", 18], [\"CWE-345\", 17], [\"CWE-191\", 17], [\"CWE-311\", 17], [\"CWE-674\", 16], [\"CWE-347\", 15], [\"CWE-682\", 15], [\"CWE-404\", 14], [\"CWE-639\", 14], [\"CWE-755\", 14], [\"CWE-613\", 13], [\"CWE-754\", 12], [\"CWE-401\", 12], [\"CWE-203\", 12], [\"CWE-428\", 11], [\"CWE-552\", 11], [\"CWE-843\", 11], [\"CWE-320\", 10], [\"CWE-93\", 10], [\"CWE-346\", 10], [\"CWE-521\", 10], [\"CWE-307\", 9], [\"CWE-285\", 9], [\"CWE-388\", 9], [\"CWE-290\", 7], [\"CWE-331\", 7], [\"CWE-425\", 7], [\"CWE-1021\", 7], [\"CWE-358\", 7], [\"CWE-417\", 6], [\"CWE-90\", 6], [\"CWE-252\", 6], [\"CWE-91\", 6], [\"CWE-116\", 6], [\"CWE-354\", 5], [\"CWE-367\", 5], [\"CWE-113\", 5], [\"CWE-312\", 5], [\"CWE-444\", 5], [\"CWE-338\", 5], [\"CWE-908\", 4], [\"CWE-361\", 4], [\"CWE-118\", 4], [\"CWE-922\", 4], [\"CWE-494\", 4], [\"CWE-131\", 4], [\"CWE-335\", 3], [\"CWE-565\", 3], [\"CWE-209\", 3], [\"CWE-300\", 3], [\"CWE-824\", 3], [\"CWE-193\", 2], [\"CWE-1333\", 2], [\"CWE-184\", 2], [\"CWE-17\", 2], [\"CWE-681\", 2], [\"CWE-610\", 2], [\"CWE-769\", 2], [\"CWE-459\", 2], [\"CWE-829\", 2], [\"CWE-294\", 2], [\"CWE-332\", 2], [\"CWE-672\", 2], [\"CWE-88\", 2], [\"CWE-407\", 2], [\"CWE-297\", 2], [\"CWE-123\", 2], [\"CWE-1\", 2], [\"CWE-99\", 1], [\"CWE-18\", 1], [\"CWE-697\", 1], [\"CWE-662\", 1], [\"CWE-670\", 1], [\"CWE-664\", 1], [\"CWE-1187\", 1], [\"CWE-273\", 1], [\"CWE-913\", 1], [\"CWE-776\", 1], [\"CWE-441\", 1], [\"CWE-909\", 1], [\"CWE-534\", 1], [\"CWE-916\", 1], [\"CWE-538\", 1], [\"CWE-199\", 1], [\"CWE-178\", 1], [\"CWE-943\", 1], [\"CWE-763\", 1], [\"CWE-377\", 1], [\"CWE-895\", 1], [\"CWE-16\", 1], [\"CWE-669\", 1], [\"CWE-121\", 1], [\"CWE-693\", 1], [\"CWE-749\", 1], [\"CWE-920\", 1]];\n",
+       "        const data = [[\"Missing_Data\", 3470], [\"CWE-119\", 2081], [\"NVD-CWE-noinfo\", 1652], [\"CWE-79\", 1473], [\"CWE-200\", 1260], [\"CWE-20\", 926], [\"CWE-125\", 703], [\"CWE-89\", 503], [\"CWE-476\", 336], [\"CWE-264\", 314], [\"CWE-352\", 311], [\"CWE-416\", 273], [\"CWE-22\", 269], [\"CWE-284\", 269], [\"CWE-787\", 244], [\"CWE-287\", 218], [\"CWE-190\", 213], [\"CWE-295\", 177], [\"CWE-772\", 164], [\"CWE-78\", 156], [\"CWE-426\", 135], [\"CWE-400\", 128], [\"CWE-399\", 113], [\"CWE-611\", 104], [\"CWE-77\", 101], [\"CWE-362\", 96], [\"CWE-601\", 92], [\"CWE-835\", 92], [\"CWE-434\", 90], [\"CWE-94\", 87], [\"CWE-798\", 84], [\"CWE-269\", 83], [\"CWE-254\", 81], [\"CWE-732\", 80], [\"CWE-502\", 68], [\"CWE-74\", 64], [\"CWE-369\", 51], [\"CWE-255\", 46], [\"CWE-415\", 44], [\"CWE-918\", 42], [\"CWE-427\", 40], [\"CWE-617\", 40], [\"CWE-326\", 39], [\"CWE-120\", 39], [\"CWE-522\", 37], [\"CWE-862\", 36], [\"CWE-59\", 36], [\"CWE-306\", 34], [\"CWE-19\", 34], [\"CWE-770\", 33], [\"CWE-384\", 31], [\"CWE-532\", 30], [\"CWE-275\", 29], [\"CWE-834\", 28], [\"CWE-327\", 27], [\"CWE-863\", 26], [\"CWE-319\", 26], [\"CWE-310\", 26], [\"CWE-843\", 25], [\"CWE-276\", 24], [\"NVD-CWE-Other\", 23], [\"CWE-281\", 22], [\"CWE-129\", 20], [\"CWE-665\", 20], [\"CWE-189\", 20], [\"CWE-285\", 19], [\"CWE-1188\", 18], [\"CWE-704\", 18], [\"CWE-121\", 18], [\"CWE-134\", 18], [\"CWE-191\", 17], [\"CWE-311\", 17], [\"CWE-640\", 17], [\"CWE-674\", 16], [\"CWE-347\", 15], [\"CWE-682\", 15], [\"CWE-639\", 15], [\"CWE-345\", 14], [\"CWE-668\", 13], [\"CWE-404\", 13], [\"CWE-613\", 13], [\"CWE-330\", 12], [\"CWE-552\", 12], [\"CWE-428\", 12], [\"CWE-203\", 12], [\"CWE-401\", 12], [\"CWE-754\", 12], [\"CWE-521\", 11], [\"CWE-320\", 10], [\"CWE-346\", 10], [\"CWE-93\", 10], [\"CWE-307\", 9], [\"CWE-755\", 9], [\"CWE-323\", 9], [\"CWE-388\", 9], [\"CWE-290\", 8], [\"CWE-425\", 7], [\"CWE-300\", 7], [\"CWE-1021\", 7], [\"CWE-358\", 6], [\"CWE-91\", 6], [\"CWE-90\", 6], [\"CWE-252\", 6], [\"CWE-331\", 5], [\"CWE-444\", 5], [\"CWE-122\", 5], [\"CWE-417\", 5], [\"CWE-338\", 5], [\"CWE-367\", 5], [\"CWE-312\", 5], [\"CWE-354\", 5], [\"CWE-113\", 5], [\"CWE-451\", 5], [\"CWE-116\", 5], [\"CWE-209\", 5], [\"CWE-908\", 4], [\"CWE-118\", 4], [\"CWE-16\", 4], [\"CWE-922\", 4], [\"CWE-294\", 4], [\"CWE-361\", 4], [\"CWE-184\", 4], [\"CWE-321\", 3], [\"CWE-131\", 3], [\"CWE-259\", 3], [\"CWE-494\", 3], [\"CWE-288\", 3], [\"CWE-335\", 3], [\"CWE-565\", 3], [\"CWE-693\", 3], [\"CWE-88\", 3], [\"CWE-824\", 3], [\"CWE-1\", 2], [\"CWE-193\", 2], [\"CWE-17\", 2], [\"CWE-377\", 2], [\"CWE-1333\", 2], [\"CWE-126\", 2], [\"CWE-749\", 2], [\"CWE-598\", 2], [\"CWE-672\", 2], [\"CWE-332\", 2], [\"CWE-829\", 2], [\"CWE-123\", 2], [\"CWE-610\", 2], [\"CWE-681\", 2], [\"CWE-343\", 2], [\"CWE-538\", 2], [\"CWE-297\", 2], [\"CWE-459\", 2], [\"CWE-407\", 2], [\"CWE-472\", 2], [\"CWE-260\", 2], [\"CWE-18\", 1], [\"CWE-697\", 1], [\"CWE-303\", 1], [\"CWE-273\", 1], [\"CWE-776\", 1], [\"CWE-592\", 1], [\"CWE-99\", 1], [\"CWE-662\", 1], [\"CWE-913\", 1], [\"CWE-485\", 1], [\"CWE-603\", 1], [\"CWE-644\", 1], [\"CWE-441\", 1], [\"CWE-807\", 1], [\"CWE-75\", 1], [\"CWE-195\", 1], [\"CWE-664\", 1], [\"CWE-199\", 1], [\"CWE-279\", 1], [\"CWE-256\", 1], [\"CWE-36\", 1], [\"CWE-1187\", 1], [\"CWE-670\", 1], [\"CWE-253\", 1], [\"CWE-836\", 1], [\"CWE-261\", 1], [\"CWE-657\", 1], [\"CWE-548\", 1], [\"CWE-391\", 1], [\"CWE-178\", 1], [\"CWE-882\", 1], [\"CWE-248\", 1], [\"CWE-775\", 1], [\"CWE-390\", 1], [\"CWE-257\", 1], [\"CWE-909\", 1], [\"CWE-205\", 1], [\"CWE-392\", 1], [\"CWE-823\", 1], [\"CWE-916\", 1], [\"CWE-402\", 1], [\"CWE-895\", 1], [\"CWE-266\", 1], [\"CWE-943\", 1], [\"CWE-763\", 1], [\"CWE-534\", 1], [\"CWE-769\", 1], [\"CWE-350\", 1], [\"CWE-150\", 1], [\"CWE-602\", 1], [\"CWE-620\", 1], [\"CWE-23\", 1], [\"CWE-822\", 1], [\"CWE-242\", 1], [\"CWE-920\", 1], [\"CWE-523\", 1], [\"CWE-489\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1011,10 +1007,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:59.844140Z",
-     "iopub.status.busy": "2024-09-13T08:21:59.843837Z",
-     "iopub.status.idle": "2024-09-13T08:21:59.936658Z",
-     "shell.execute_reply": "2024-09-13T08:21:59.936049Z"
+     "iopub.execute_input": "2025-02-02T04:20:41.676992Z",
+     "iopub.status.busy": "2025-02-02T04:20:41.676822Z",
+     "iopub.status.idle": "2025-02-02T04:20:41.768242Z",
+     "shell.execute_reply": "2025-02-02T04:20:41.767667Z"
     },
     "tags": [
      "remove-input"
@@ -1075,10 +1071,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:59.938894Z",
-     "iopub.status.busy": "2024-09-13T08:21:59.938494Z",
-     "iopub.status.idle": "2024-09-13T08:21:59.942451Z",
-     "shell.execute_reply": "2024-09-13T08:21:59.941906Z"
+     "iopub.execute_input": "2025-02-02T04:20:41.769952Z",
+     "iopub.status.busy": "2025-02-02T04:20:41.769630Z",
+     "iopub.status.idle": "2025-02-02T04:20:41.773475Z",
+     "shell.execute_reply": "2025-02-02T04:20:41.772916Z"
     },
     "tags": [
      "remove-input"
@@ -1088,7 +1084,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:21:59.939555**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:20:41.770531**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1120,7 +1116,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVE2018.ipynb b/CVE2018.ipynb
index bbd1bfe77f..e91802b61d 100644
--- a/CVE2018.ipynb
+++ b/CVE2018.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:04.776243Z",
-     "iopub.status.busy": "2024-09-13T08:22:04.775807Z",
-     "iopub.status.idle": "2024-09-13T08:22:05.430085Z",
-     "shell.execute_reply": "2024-09-13T08:22:05.429578Z"
+     "iopub.execute_input": "2025-02-02T04:20:46.682494Z",
+     "iopub.status.busy": "2025-02-02T04:20:46.682117Z",
+     "iopub.status.idle": "2025-02-02T04:20:47.350938Z",
+     "shell.execute_reply": "2025-02-02T04:20:47.350291Z"
     },
     "tags": [
      "remove-cell"
@@ -101,10 +101,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:05.432686Z",
-     "iopub.status.busy": "2024-09-13T08:22:05.432194Z",
-     "iopub.status.idle": "2024-09-13T08:22:24.995800Z",
-     "shell.execute_reply": "2024-09-13T08:22:24.995134Z"
+     "iopub.execute_input": "2025-02-02T04:20:47.353300Z",
+     "iopub.status.busy": "2025-02-02T04:20:47.353033Z",
+     "iopub.status.idle": "2025-02-02T04:21:11.413035Z",
+     "shell.execute_reply": "2025-02-02T04:21:11.412469Z"
     },
     "tags": [
      "remove-cell"
@@ -227,10 +227,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:24.998360Z",
-     "iopub.status.busy": "2024-09-13T08:22:24.998171Z",
-     "iopub.status.idle": "2024-09-13T08:22:25.003942Z",
-     "shell.execute_reply": "2024-09-13T08:22:25.003451Z"
+     "iopub.execute_input": "2025-02-02T04:21:11.415462Z",
+     "iopub.status.busy": "2025-02-02T04:21:11.414997Z",
+     "iopub.status.idle": "2025-02-02T04:21:11.420769Z",
+     "shell.execute_reply": "2025-02-02T04:21:11.420340Z"
     },
     "tags": [
      "remove-input"
@@ -240,7 +240,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **18154**<br />Average CVEs Per Day: **49.87**<br />Average CVSS Score: **7.47**"
+       "Total Number of CVEs: **18154**<br />Average CVEs Per Day: **49.87**<br />Average CVSS Score: **7.48**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -275,10 +275,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:25.006070Z",
-     "iopub.status.busy": "2024-09-13T08:22:25.005749Z",
-     "iopub.status.idle": "2024-09-13T08:22:25.014189Z",
-     "shell.execute_reply": "2024-09-13T08:22:25.013615Z"
+     "iopub.execute_input": "2025-02-02T04:21:11.422530Z",
+     "iopub.status.busy": "2025-02-02T04:21:11.422253Z",
+     "iopub.status.idle": "2025-02-02T04:21:11.430757Z",
+     "shell.execute_reply": "2025-02-02T04:21:11.430326Z"
     },
     "tags": [
      "remove-cell"
@@ -310,10 +310,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:25.016628Z",
-     "iopub.status.busy": "2024-09-13T08:22:25.016171Z",
-     "iopub.status.idle": "2024-09-13T08:22:25.685505Z",
-     "shell.execute_reply": "2024-09-13T08:22:25.684851Z"
+     "iopub.execute_input": "2025-02-02T04:21:11.432790Z",
+     "iopub.status.busy": "2025-02-02T04:21:11.432350Z",
+     "iopub.status.idle": "2025-02-02T04:21:12.110814Z",
+     "shell.execute_reply": "2025-02-02T04:21:12.110218Z"
     },
     "tags": [
      "hide-input",
@@ -323,7 +323,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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fm17ZbtyyVHdfLTdeIBq6eeFaI0dzf9ox/rGumzeb2rH1uREjUYSFKWWFi4sLni08jBwNqJOKn1snpRovEI2cmo7a56aV96wzYiSKsLDmQFHes8/I0ejWM4bysxEjUfzGs9rnKtVGI0ai0G3jnDBiJAq1uqP2uUq11IiRKMLCugJF6TnHyNGAWt1Q+9zYx7taPUr7XKUKM2IkCrW6lfa56dXDdho5GlCrx2mfm16b1NTywuXGC0RD+jQqZkp9Grr9GabWpjBiIBphYQlAUVreZNxgALU6SPvc9PpSjd8GNLVzOWFhLkBR+rlk5GhAre6hfW5aec8VI0aiUKuLB8WYXrlu/L7vO3d6GTsEYQQ1gKoMobA0dCAG9I8adCGEEEIIIYQQQgghhBBCCCGEEEKI6mFB1QYl/J0HLvydYxdCCCGEEEIIIYQQQgghhBBCCCGEibKgarNY5Bs6EAOSQRdCCCGEEEIIIYQQQgghhBBCCCGE0DuZ6UIIIYQQQgghhBBCCCGEEEIIIYQQ4iFYIjNdCCGEEEIIIYQQQgghhBBCCCGEEEI8MJnpQgghhBBCCCGEEEIIIYQQQgghhBDiIVhQtZku8gwdiAHJoAshhBBCCCGEEEIIIYQQQgghhBBC6J3MdCGEEEIIIYQQQgghhBBCCCGEEEII8RAsqdpMF1XZxlTJoAshhBBCCCGEEEIIIYQQQgghhBBC6J0MuhBCCCGEEEIIIYQQQgghhBBCCCGEeAj/hNuLmBk7AFPTrVtdNm8eRnT0q6jV7zJ4sI/O+qFDG7Nz5wgSEl5HrX6X1q1dDRrPxx/XQ63uovMID2+rXe/mZsnKlY2JiWlPenogp0+3ZtiwWgaNqSLTpnVBrf6Y4OB+Bv+u6dNb8+efg0lNfYG4uDH89lsfmjRx0q5v0KAGavVLZT6GD/cyeHzTpnmjVj9JcHAz7TI3NytWrmxFTEwv0tP7cvp0Z4YNczN4LEo8TVCrhxEc3Eq7bOLEhuzf342UlIGo1cNwcjLcGLKPP/ZGre6j8wgP71Tmttu2tUGt7sPgwbUNFs/9pk3zQa0eSHBwi3Ji6ohaPZDBg90N8v2TJvkSGjqIlJTRpKSMJiTkKfr3r6Ndb21tztdfdyQh4VnS0sbw6689cHW1MUgsUPH+cnGxYNEiXyIiOpGZ2ZOoqK4sXNgER0dzA8bjg1r9pM4jPLybdr21tRlff92chITepKX15ddf2+LqamWQWCZNakxo6FOkpIwkJWUkISFP0L+/p3b9f//bgatXB5GZOYq7d59h06bH8fV1NEgsUPmxNXFiHfbv9yclpQdqdR+cnAxbbaksbwbYv//pUvny0qVdDBZTt2512Lx5MNHRL6NW/5vBgxuVu+3Spb1Rq//Nm2+2LXebR+XpacWqVY1JSOhAZmYgYWFt8PevoV0/dGhNdu5sTkJCB9TqLrRubW+wWKqyv0ratq0favVLDB7cwCDxmFpeaEppx9SOdaj89/n4406Eh48jPf11kpJeZffuZ+jQwTDlqBKP8erx3TrB5jUQfQHUSTD4qfK3XfqFss2bk3SXv/9vOLoDMm7DveuPFs/L1paccrQn3sWBeBcHDjra0c+y7DSxuYYdOTUdGXTf+p4W5hxwsCPBxYEo5xrMsbVGXyW9qdXjJ01qRGhoP1JShpGSMoyQkN7076+bVgMDa7F3bw/S058hJWUYBw/2xMbGMHUfU6prDKMZv/EsL1Kct00igKUM4GeGs5whvEdX6uCg877feLbUoyv19R5fWW0cpV7YmoSEp0lLG8Svv3bE1dVa799dxNPTklWrGpGQ0I7MzPaEhbXE318puy0sVMybV4+wsJakpwcQHd2WFSu88fAwTLtr+vS2/PnnM6SmTiAubhy//dafJk2cdbb5738f5+rV0WRmTuTu3XFs2tQfX1/nMj/vUZmZwSefOBMZWYfMzPpcvVqHGTN06xlDh9qxc6cbCQn1UKsb0rq1YerwUPmx7uZmw8qVHYmJGUR6+jOcPv0Ew4bVNVg81683Ra1uVerx9deeuLiYs2iRJxERvmRm+hEV1ZSFCz1xdDRMN9706S35888BpKaOIS5uFL/91osmTXTzFTc3W1au7EZMzCjS08dw+vRAhg0zTp1w4sQm7N/fn5SU0ajV43ByMly6Kcv9/T0NGtiWaq8WPYYP13/dZ9IkL0JDe5OSMpCUlIGEhHSnf//iviVvb3s2bgzk7t2nSUkZyLp1HQyaD1Yl/Xh7O7BxY0/u3n2WlJTRrFvX3WD1+Mrqzf/9b1OuXu1MZmZP7t59nE2bWuPra2eQWO5nCn2FplTPAOO3ubp1g82bIToa1GoYPFh3/dChsHMnJCQo61u3Lv0Z1tbw9dfKNmlp8Ouv4KqHpkZl5bqLizWLFnUlIuI5MjMnEhX1PAsXdsHRsXryxLL6Uv/731ZcvdqLzMynuHv3CTZtao+vb40KPkW/atSwIji4FzduvEJm5lscPTqGgADDtUHvV1l/D8CsWfW5c6c9mZmB7N7dAh8fQ+WFDVGre+g8wsM7aNfv39+m1PqlS5sYJBaoPO8padu2nqjVYxg82JD1sIao1Y1LPb7+Wjkf4e1tycaNHty960VKijfr1rnj6mq4vu+SjH0ex9j7aty4cahUKiZNmlRq3eTJk1GpVIwbN05v3yeqjwXFs11U9JBBF/9D7O0tCQ29y+TJu8tdf+RINNOmHay2mM6fz8Dd/U/to2vXc9p1K1c2xtfXlkGDwmnZ8i82bkxk/Xpf2rQx3Ama8gQEePLKK/6EhsZWy/d17+7OkiUXCQzcTN++27G0NGPXrv7Y2SmH5K1bGbi7r9Z5fPTRadLSctm+/ZZBYwsIcOKVV+oRGpqqs3zlytb4+tozaNBpWrY8wsaNcaxf35Y2bQzXeFHiceGVV7wIDU3WWW5nZ86OHXHMnXvJoN9f5Pz5dNzdD2kfXbueKrXNlCn1UaurJRwtZX81IDQ0pcz1U6Z4ozZwULdvZzB9+mn8/bcQEPAH+/bF8PvvvWje3BmA4OD2DBxYjxEjDtC9+w48Pe3YuLGnQWMqb395elrj6WnN1KlX8PM7zrhxF+jfvxY//NDcwPGk4e6+V/vo2vW4dl1wcDMGDnRlxIi/6N79BJ6e1mzc2M4gcdy+ncn06Wfx999OQMB29u2L4/ffH6d5c6UD+fTpJMaPP06zZn/Qr98+VCoVu3b1wsxMZZB4oOJjy87OjB07Epg79xHP4FVRZXlzkW+/jdDJn99990+DxaSU7fFMnryvwu2GDPEhMNCD6Oh0g8Xi7GzO0aMtyctT8+STF2ne/C/efvsG9+7ll4jXnCNH0pg2LcpgcRSp6v4CmDLFz+D5s6nlhaaUdsC0jnWo/Pe5fPker722j5YtV9K16zpu3Ehl165neOwxWwPGY5x6vL09hJ6Hye9WvN2QpyEwAKLvlF5nZQW//A5Llz16PNGFamZk5dApJYPOKRkcyCvg1xq2NDPXbf69YW2FmtIHdktzM353sGNXXj4dU9J5Pj2LAVYWzLHVzwkbU6vH376dxfTpYfj77yIgYBf79t3l99+70ry5UkcPDKzFjh2Ps2tXLB067KZ9+918/fVVCgsNkymaSl3Dh5o8QSOuc09n+TXusZgTvM52PuEgoOJjemCG7vcv4gTj2aR9nOC2XuMrr40THNyKgQM9GDHiT7p3P4Snpw0bNwbq9buLKOV6C025fonmzcN4++2b2nLdzs6Mdu3smT07mnbtzjNs2BV8fW3ZvNkwHdrdu3uyZMl5AgM30rfvFs2xNUCnXD99Op7x4/fTrNnP9Ov3hyb9DDBIXXXaNCeCghx47bUkmjW7w7Rp93j3XSdef714kI69vYojR7KZNu1eBZ+kH5Ud6ytXdsTX14FBg47QsuUONm68zfr1nWjTxtkg8bRvfwV394vaR58+kQD88ksKnp4WeHpaMnXqHfz8LjNu3C3693fghx8Mc/JByZcjCAzcSt++u7C0VLFr1xM6aWflyq74+joyaNBeWrb8nY0bo1i/vjtt2tTUezyV1Qnt7CzYsSOauXPPVfxBBlBWf8+tW1k6bVV397189NEV0tLy2b49Xu8xKGn5PP7++wgI2M++ffH8/nsnmjd3wM7OnF27uqBWq+nV6zBduhzEysqMLVs6oTJQk7Sy9GNnZ8GuXX1Rq6FXrx106bINKytztmzpbbCYKqo3nz6dxvjxF2nW7Bj9+v2FSgW7drXDzMC95KbSV2gq9Ywixm5z2dtDaChMnlz++iNHYNq08j8jOBgGDoQRI6B7d/D0hI0bHz22ysp1T097PD3tmTo1BD+/dYwbt5/+/evzww89Hv3LK1FeX+rp08mMH3+WZs3206/fCc3xFWjw46vI99/3p2/fhvzrX1tp2XIZu3bdYM+eUXh6Gn7gR1X6e959tw5vvOHBpEnX6NgxjIyMAnbubIG1tWGOL+W8Uoj20bXrXzrrv/32js76d9+9ZpA4oPK8p8iUKU0N3g8P0L79LdzdI7WPPn2Utsovv6RjZ6di1y5PTbkVTZcut7GyUrFli6fByq0ipnAexxT2Vb169fj555/JysrSLsvOzmbNmjXUr6//wfyielg8wOPv6u8cu0Hs2HGdHTvK76z+6aeLADRoYNiT5CXl56uJi8src13nzo4EBV3j5Emlwjlnzm3eessTf/8anD2bUW0x2ttbsnr1MCZO3MKMGY9Xy3c++eROndfjxh0iPv55/P0f4/DhWAoL1cTFZelsM3RoA9avv05GRj6GYm9vzurVrZk48TwzZuiOzu7c2ZmgoAucPKlUSOfMucZbbzXE39+Rs2dTy/o4PcUTwMSJZ5gxo6nOuoULlYpU9+6PGeS776ek5dxy17duXYO3365PQMCfxMZWTzpSfp92TJwYyowZjcuIyZG33/YmIOAwsbFPGCyOP/7Q7YSeMeMvgoKaEhhYm9u3M5gwoTGjRx9i/35lUNP48UeJiBhKx461OXFC/504UP7+unAhg+HDw7SvIyOz+OCDa/z0kx/m5ioKCgxT2SovHkdHCyZMqMvo0aHs358EwPjx54iIeJyOHZ05cSJZr3H88Ue0zusZM0IJCmpMYOBjXLyYwnffXdWui4rKYMaMUMLCnqZhQ3siIw1zQraiY2vhQuXkVPfuLgb57vtVljcXyczML5VHG8qOHTfYseNGhdt4etZg8eKe9Ou3ka1bhxgslmnT6nLrVg4vvlicTm7cyNHZ5qeflGO6QQPDXY1WpKr7q3Xrmrz9dksCAjYRGzvGYPGYWl5oSmkHTOtYh8p/n7VrI3Re//vfB3nppZa0avUY+/bp/8S5MevxO/Yoj4p4esDi+dBvOGz9ufT6mfOUv2Ofe/R4tubp1nU/zsrhZWsrOpqbE15QCEArczPetLWic0oGN610r5IZYWXJuYJC5mYr6e1aYQHvZ+awuoYtn2bl8KilmanV4//4Q3cUzIwZ5wgKakRgYC0uXkwlOLgtixZdYf784jR9+XKa3uMojsf4dQ0bLHiLQP7DSUagOxPcboo7Y+PJYA1hfMWTuGJPbInUkUEuyWTrJZ77ldfGUeqFDRk9+k/271fKhfHjTxMR8QQdO7pw4oR+T+xPm+apKdcjtctKluupqQU88YRuXvjaazc4edKPevWsuHWr/LbRw3jyya06r8eN20d8/Hj8/Wtz+HAMAN99F65dHxWVxowZJwgLG0XDhg5ERuq3Tdq5szW//57Jtm1Zmu/L57nnsujQwRpQjqGfflL6LRo0MHz3VGXHeufOtQgKOs3Jk0qbYs6ci7z1VhP8/Wty9myy3uNJSCjQeT19ugNXr+Zw8KDymwwfXjwANzIylw8+iOWnn+phbg4Fum99ZE8+qTtgcdy4I8THP4e/fy0OH44DoHNnV4KCjnHyZAIAc+aE8dZbzfH3r8XZs0l6jaeiOuHFi8ksXKiU6d27V9/Vy1B+f09hIaXqaEOHurF+fQwZGXreWcAff+he7DRjxkWCgrwJDKxJnTq2NGxoT9u2+0hLU8rMsWNPce/eQHr1qs3evfqvM1eWfrp0caVhwxq0bbuFtLQ8TUyHuXdvNL16ebB3b4zeY6qo3vzdd8XlbFRUNjNmXCMsLJCGDW2JjDRMG9WU+gpNoZ5RkrHbXDt2KI/y/PST8rdBORP7ODrChAkwejTs368sGz8eIiKgY0c4ceLhY6usXL9wIYnhw4vr1ZGRqXzwwQl++qmPQfvnKupL/e67m9rnUVFZzJgRQVhYDxo2tCMyMtMg8RSxsbHgmWeaMHjwRg4fVsqRWbOOMnBgI4KC2vDhh0cM+v1V6e+ZMsWTTz+9xebNSrn5wgtXiIvrwJAhtVi3LkHvMVXWF5+ZWVjhen2qLO8BaN3ahbffbkZAwHZiY58xaDyl62H2XL2ay8GDWfTta0fDhpa0bXuLtDSl/Tx2bBz37nnTq5cte/casqww/nkcU9hX7dq149q1a2zcuJExY5R+yI0bN1K/fn28vIpnv8zJyeGdd97h559/JjU1lYCAAIKDg2nfvj0ABw4coGfPnuzZs4dp06Zx8eJF2rRpw7Jly/D19dV73KJiRTNZVGW7vyuZ6eJvoHFjW6Kj23Ptmj8//dSEevWKpwgLCUll1KjHcHGxQKWCUaMew8bGjAMHyr5i31CWLHmKrVuvsHdv9V1deb+i6SSTknLKXN+uXS3atn2MH34w7GjAJUuas3XrXfbuTSy1LiQkmVGjPHBxsdTsLw/N/tJvB4VuPG3YujXWIA3rB9W4sR3R0d24dq0zP/3Ugnr1ik8o2tqasWaNH5MnX6q2yh7AkiUtNfurdMXW1tacNWvaMXnyOeLiyk5XhmBmpmLUKC/s7S04duwu/v61sLIyZ8+e4o6IS5dSiIpKp1Mnw92CpaL9dT8nJwtSU/MN1qArjqcn165156efWlOvnjL9nr+/I1ZWZuzZU7wPL13KICoqi06dnA0WDxTtqwaafVX6GLOzM2f8eG8iI9O4dctwjcsH2VfVrby8ecyYRsTHP8+5c8OYOzcAW9vqmaKvLCoVrFrVnwULTnHxYum8W58GDarJqVMZrF/vS1xce86cac1LL1XPbaaqoqz9peSFPZk8+Wi1DZQB08kLK1KdaQdM+1ivjKWlGS+/3JLk5GxCQ41fJ6luKhWsWgoLFsPFiMq31yczYISVBfYqOJ6vdCzZAitr2DIlI5u4Mq5MsQay71uepVZjq1LRzkL/+bWp1OOhKO+pp8l7Eqld25rAwFrcvZvD0aO9iY0dzIEDPenSpXoGLRurrvEy/pwihjDiKtzOGnN64U0s6SSg+/0v488KhvI5femNfm8LU14bx9/fRVMvLF5+6VI6UVGZdOqk/9twDhrkoinXfYiLa8eZM3689FLFZZKTkzmFhWqSk/V/Irb0d1V8bNnZWTB+fFMiI1O5dUv/J9JCQnLo3duWxo2VARWtWlnStasN27dXX32iPPcf6wAhIYmMGlUfFxcrTXu9HjY25hw4cNfg8Vhaqnj+eRd+/LH8vgEnJ3NSUwv1PuCi7O8qnXZCQu4yapRXid/HS/P7GHa20/vrhMZUUX9PSe3aOdK2rSM//KDfGX7KYmYGo0bVxd7enGPHkrC2NkOtVpOTU6jdJju7kMJCNV27Vk/ZdX/6UWKCnJzixJudXaCJyTBtoarWm+3szBg/3pPIyExu3TLMQEEwvb7CIqbSp1GR6m5zPSh/f2XGuj0lBmBfugRRUdCp7LsqP7TKynVlG2tSU3MN2j9XUV9qSUr6qU9kZAa3bhm+7LewMMPCwozsbN1B2llZ+XTtarjbVBSprL/Hy8saDw8r9uwpPm+TmlrAiRNpdOrkUNZHPjLlvFInrl3ryE8/NSuVF44Z40p8fBfOnWvP3Lle2NpWz+nCsvIepe+pC5MnnyQuznD5cVksLeH55x358UdloJu1tUpTbhUfR9nZagoLoWtXw8zcCaZ1HqeIMffViy++yLJlxVOB/vjjj4wfP15nm3fffZcNGzawYsUKzpw5g4+PD/369SMpSbcM/eCDD/jiiy84deoUFhYWvPjiiwaLW5RPZroQRnfiRBrjxl3h0qUsPDys+Pjjehw+3BI/v7OkpxcwcuQl1q3zJSmpI3l5hWRmFjJ0aATXrlVfwTRqVAvatfOgffvvqu0776dSwVdfBXLkSCwXLpR99dKECb5cvHjPoI30UaM8aNfOifbtQ8pcP3LkX6xb14akpD6a/VXA0KF/ce2aYRouo0bVpV07Z9q332+Qz38QJ06kMG7cBS5dytSkZW8OHw7Az+846ekFBAc3ISQkhc2bq69SMWqUp2Z/HS5zfXBwC0JCkti8ueLOZn3x83Pm2LGnsbExJz09n6FD9xEenkKbNjXJySkgJUV3MEpcXBbu7oap6FW2v0qqVcuSDz/04ttvo8v5NH3Ek8y4cee4dCkDDw9rPv7Yh8OHA/HzO4y7uzU5OYWkpOg2quLicnB3N8wJSWVfPVFiXx0iPLz4CpSgoMZ8/nlbatSwJCIihb5995GXV1jBJz68B9lX1a28vHnNmqtERaVz504mrVrVZP78Dvj6OvPMM5VcJm4g06a1Jz+/kEWL/qp840fk7W1DUJA7X34Zzdy5t2nfvgaLFnmRm1vIypXGbVSVt7+CgwMJCbnL5s03K3i3/phSXliZ6kw7pnysV+Tpp734+eensbOzJCYmg759N5CYWL0dKKZg2puQXwCLvqm+72xhbsYhR3tsgHQ1jEzPIqJQKYv+z86GY3kFbMkre9aI3Xn5vG5jxUgrC37NzcddpeJ9za1F3PU8tbSp1OP9/Jw4dqx3ibznKOHhqXTsqJyonzmzBVOnhnL27D1eeKEhe/f2wM9vB1evGmYWK2PWNbpSH29ceIdd5W7THx9eoDW2WHKbVGZxgHyKv38N5zhHHDnk0wZ3XiYAGyzYypVHjq+iNo5SLywgJUV3psi4uGyD1Au9va0JCnLjyy9jmDv3Du3b27NoUUNyc9WsXFn6RIS1tYr58+uzdm0iaWmGzbuVY6sLR44oV8KWFBTUgs8/76RJP/fo23eLQeqq8+al4OhoRkREHQoKwNwcPvggmTVrqm9WzvuVd6wDjBwZwrp1nUhKGqppr+czdOgRrl0z7O3DAIYMccTZ2Zzly8vOB2vVMufDD1359lvDn3BU0k4HjhyJ48KFZO3ykSMPsm5dd5KSRpf4ffZz7ZphZv4pr05oLJX195Q0YUJdLl5M59ixZIPF4+fnyLFjPbCxMdP8PscJD08jPj6HjIwC5s/34/33L6BSwbx5flhYmOHhYWOweIqUlX6OH48nIyOf+fMDeP/906hUKubN89fEpP96fFXqzUFBdfn8cx9q1LAgIiKDvn3/Ii/PMCepTa2vEEyrT6My1dnmehju7pCTAyn3ZU9xcco6famoXC9Sq5YNH37oz7ffXtTfF9+nsr5UgKCgBnz+eXPN8ZVO377HDXZ8lZSenktISDQfftiZ8PAk4uIyeO65ZnTq5MnVq8kG//7K+nvc3ZVBM/dfbBgXl6ddp08nTqQyblxEibywIYcPt8XP7yTp6QWsWRNHVFQ2d+7k0qqVPfPnN8LX145nnrmg91iKVJT3BAf7ExISz+bNhh+weL8hQ2rg7GzG8uVKLMePZ5ORUcj8+bV4//1ETVn6GBYWKjw8DHNK1ZTO44Bp7Kvnn3+e9957j6goZfa3o0eP8vPPP3PgwAEAMjIyWLp0KcuXL+fJJ58E4LvvvmP37t388MMPvPPOO9rPmjNnDt27dwdg+vTpPP3002RnZ2NjY/i6kShmQdVmsfg7D1z4O8f+j7BjR7L2+blzmZw4kUZUVAAjR9bixx/vMnt2fZydLejd+zwJCXkMGVKL9et96dbtHOfPG34Ect26jixc2J++fVfpjFivbkuWdMHPz4WuXbeUud7GxpzRoxsxe/ZZg8VQt64NCxc2o2/fkzpXFJQ0e3ZjnJ0t6d37TxISchkyxI3169vQrdtxzp/Xb0dO3bq2LFzYir59j5QbT3XasaO4c+jcOaXiFxXVlZEj3YiPz6VXr5q0bfsIc+49IGV/+dG377Eyf5+BA93o1asWbdseqraYLl1KpU2bzTg5WTF8eANWrOhG9+7bq+37S6pof/34Y/G0vA4O5mzd2oaLFzOYOTOyrI/SUzzFndbnzqVx4kQyUVE9GDnSg6ys6s97lH21TbOv6rNiRSe6d9+trXyuXn2D3btj8fCwZerUZqxf35UuXXYZ5Fis6r4yhvLy5u++K75S+fz5e8TEZLJv39N4ezsQGWm46drL0q6dK2++2Y527X6qlu8zM4NTp9L54ANlAMPZsxn4+dkxaZK70QddlLW/Bg6sT69enrRt+1u1xWFKeWFFqjvtmPKxXpH9+2/Rps1PPPaYLRMntmT9+gF07LiG+HjjX+VcXdq1hjdfgXY9q/d7LxcU0iElHUeVimFWlnxvb0Of1Ex8zM3oYWlOh5TyT3ruyS/gvawcvrazZZk95ABzs3LoZmmBvksyU6jHA1y6lEabNrtwcrJk+PC6rFjRge7d92vvP/3NN9dYvlyZ1e/s2bP07u3Giy968f775wwUj3HqGrWwYwLtmMl+8irY24eIIpRYXLBlME2ZSmfeY4/2Pb9Q3Fl7nWRssGAIzR550IWptXGUcj2DDz5QOhzPns3UlOuupQZdWFioWL++MSoVBAXdMHhsS5Y8jp9fTbp23VRq3erVV9i9+zYeHnZMndqG9eufoEuX3/Teph850p4xY+wZPTqBCxdyadPGiq++qsmdO/msXGmcgRflHevh4anMnt0SZ2crevfer2mv12H9+s5067aP8+cNe7J/woSabN+eRkxM6cFwDg5mbN3qxcWL2cycafgLApYsCdTky9t0ls+e3Vbz++wkISGbIUPqs359D7p128b588l6j6O8OqExBl5Upb+niI2NGaNHezJ79tUKt3tUSlreq0nLdVixIoDu3Q8RHp7GiBEnWLq0DW+80YjCQjVr197m9Ol7FBYa/qRnWeknISGHESMOsHRpIG+80UwT03VOn04wSExVqTevXh3D7t2JeHhYM3VqA9avb0mXLqf0XraYWl9hEVPq06hIdbe5TFlF5TqAg4MlW7c+xcWL95g585RBYqisL7XI6tXR7N6doDm+GrF+vT9duhytlvTzr39t5ccfn+TOnVfJzy/kzJk41q4Nx9/f8LejMrX+nh07igfnnDuXoTmvFMjIkbX58cdYvvuueBbR8+cziInJZd++Nnh72xAZaZgLJcrLe3x8HOjVy422bY3T9zNhgiPbt2cQE6PUhRMSChgxIpalS2vzxhvOFBbC2rVpnD6dbZByy9TaOGAa+6p27do8/fTTLF++HLVazdNPP81jjxXP2nXt2jXy8vLo0qWLdpmlpSUdOnQgPDxc57NatWqlfe7h4QHA3bt3qV+/voH/C1FSVWex+DsPXPg7x/6PlJJSwOXLWfj42OLtbcPrr3vSosUZLl5UOq7DwjLp1s2RyZM9CAq6VsmnPTp/fw/c3Gpw5swr2mUWFmY8/ngDXnutA9bWnxq8Ubd4cScGDKjH44//QXR02QNNhg/3ws7OgpUrH/3KqvL4+zvi5mbNmTOdtcuU36Imr71WH1/fw7z+ekNatDjMxYtKoyksLI1u3VyYPLkBQUH6HUXq7++Mm5sNZ870ui+ex3jtNW+srTdRaMQyPCUln8uXM/DxsaVlyxo0amRLcnJ3nW02bGjF4cPJ9Ox5Wu/fr/w+1pw587h2mfL71OK11xqydGkUjRrZk5zc/76YAjh8OJGePY/pPaa8vELtVUJnziTSvv1jvPlmc9atu461tTlOTlY6V3i7udkSG1s9J61K7q8iNWqYs2NHW9LS8hk6NIz8fMN34JSOx47duxOwtjbDyclCZ7YLNzdrYmMNc1sYZV8px/GZM0m0b1+TN99syqRJfwKQmppHamoeV6+mcfx4AvfujWDo0Hr8/HNURR+rF2XtK2OoSt5c5MQJpfHp4+NY7YMuunWrg6urHTdvTtQus7Aw44svujNlSju8vH7Q6/fFxORqy+wi4eFZPPOM/qc8fxDl7a9evTxp1MiR5OQXdLbfsKE3hw/H0bPn1vs/6pGZcl5YUnWnnfuZyrFemczMfK5dS+batWROnIjh8uXxTJjgx7x5J40dWrXp1glca8PNsOJlFhbwxWyYMgm82hjme/OAa4VqQM1fWTkEWJjzuo0VWajxNjPjrovuFLY/17DlSH4BT6QpecDC7FwWZufioVJxT62moZkZc+zgeoH+KpCmUo+H+8v2e5qyvQnz5imdNRcv6t5TPTw8lfr17aspnuqrazTCBWds+IJ+2mXmmNGc2jxFY0byC4WoySSPTPKIIZ3LJLKKYXSkLkcoe1akyyQyEj8sMNOZEeNBVdbG6dfvqKassNSZ7cLNzcYg9cKYmLxyyvWaOsuUARc+NGhgRa9eEQaf5WLx4q4MGNCAxx/fRHR06cENqam5pKbmcvVqCsePx3Hv3osMHerFzz/r9yTxggUuzJuXwrp1Sgznz+fRoIEF773nbLRBF+Ud659/Hs7rrzemRYvt2uM9LCyZbt0eY/JkH4KC9N8mLVK/viV9+tRg2LDSx2+NGmbs2OFFWloBQ4dGkV/2BEV6s3hxR02+vF0nX/b2duD115vRosUmLl5MBiAs7B7durkxeXIzgoKqr308aZL+v6sylfX3WFvv1PavDB/ujp2dOStXGnZQbF6emmvXlOPozJlk2rd34c03fZg06S92776Lj88uatWyIj9fTUpKHjExTxEZadgrUstLPwC7d9/Bx2cjtWpZa2LKJSZmFJGRhr9NcVn15tTUAlJTs7h6NYvjx1O4d68HQ4fW5uef9TuwydT6CouYcp9GScZuc1VFbCxYW4OTk+5sF25uyjp9qKxcr1HDkh07BpCWlsfQoTvIzzdMh29lfanW1lspLITU1HxSU/O5ejWD48fvce9ef4YOdefnnw1/sUBkZDI9eqzFzs4SR0crYmMz+PnnQURGJhv8uyvr74mNVfox3NysiI0tWU+15OxZw9eLlLwws9w+hBMnlPqPj4+twQZdlJf3ZGUV0KiRA8nJI3S237ChG4cPx9Ozp+Fmxq1f34I+fewYNixGZ/nu3Zn4+ERRq5YZ+fmQklJITIwXkZF55XzSwzPF8zimsq9efPFFXnvtNQCWLFny0J9jaVk8v4JKpczeWWjMk2P/UJZUbaaLqmxjqmTQxd+Mvb0ZjRrZsGpVPHZ2ymVX9+cNBQVq7RVZhrZ373X8/P6js2zZssFERCQwf/7RahlwMXRoQ3r02MqNG+WP/p4wwZfNm2+SkGC46az37k3Ez093arVly1oSEZHB/PmRJfaX7m9iqP21d288fn66hdyyZf5ERKQxf/5low64ALC3N6dRIztWrYpl/fo4vv9e99YU58934q23LrNli2FGAiu/zwGdZcuWtSEiIp3586+SkJDLN9/oNibPn+/BW29dYMsWw96ztoiZmQpra3NOn04kN7eA3r092LhRialJE0caNKhR5j03DaHk/gJlhoudO9uSk6Nm0KDQah+FWxzPHU6fTiU3t5DevWuxcaPSQdKkiT0NGtgadDrXkpR9VfaBrFIpD2tr82qJ5f59ZQxVzZuLtGmjNEBjYqr/xPmqVeHs2aN7gmjnzmdYteoiy5bpv4Pr6NE0fH11p65r0sSWqCjDDBCqior217x5oXz//SWdZefPP8Nbb51gy5bq6XAzpbywpOpOO/czhWP9YSj785/VBFm1DvYc1F228xdYtR6Wram+OFSAlQo+yczlxxzdjqK/nGrwTmYOW/NKdyDFqJW660hrS24WFPKXngZdmFI9vixFZfuNGxlER2fi66s7SKVJEwe2b48p592Gi6cs+qxrhBHHm+hetfQaHYgmjd8Ip5Cy23cqwJLyv98LF9LIeaQBF1B5G+fWrUxNvbA2GzcqHftNmtSgQQM7jh3T/20Zyi7XbXTK9aIBF40b29CzZzhJSYY9a754cVeGDvWiR4/N3LhR+WBWQ9ZV7exUZfRXUG39FVVRdGzZ2SllU9ntdf3eVul+48fX5O7dfLZu1R3c5eBgxs6dXpo21w2d+4obwuLFHRk6tD49euwolS/b2Snpo7r6M8pSVCc0hsr6e0qm8wkT6rJ5810SEnKpTmZmlConEhOVGHr2rI2rqzWbNxuu3Koo/ejGlKOJyR1XVxs2b75lsJiKVFZvLs4H9Z+YTa2vsDym1KdRkrHbXFVx+jTk5kLv3rBxo7KsSRNo0ACO6WGMWGXluoODJTt3DiAnp4BBg7YbdCbqyvpSy+prVqlUqFTlpy9DyczMIzMzD2dna/r1a8i77x6s/E2PqLL+nuvXc4iJyaV3bydCQ5VBFg4O5nTs6MDSpYZv1yt5oS2rVpU9uKxNmxqAMnikuhTlPR9/HMb33+sO/j1/fgBvvXWGLVsMO2Bw/HhH7t4tYOvWsge+JCYqCbtnT1tcXc3ZvFn/A2RM/TwOGG9f9e/fn9zcXFQqFf369dNZ16hRI6ysrDh69CgNGjQAIC8vj5MnTzJlyhS9xyIencx08Q9kb2+Jj4+L9rWXlzOtW7uSlJTFrVtpuLjYUL++I56eSiHk66tcwRIbm0FcnP4z3AULGrJlSxJRUTl4eloxa1Z9Cgpg7dp4kpMLuHIli2++acTUqTdITMxnyJCa9O3rzIAB4ZV/uB6kp+dy4YLuiY6MjDwSE7NKLde3JUs6M3p0IwYP3k1aWh5ubsoozZSUXLKziyuYjRo58vjj7jz11E6DxpOeXsCFC7oNy4yMAhIT87hwIR0LCxVXrmTwzTd+TJ0aQWJiHkOGuNK372MMGKD/q2bS0/O5cEG30yYjI5/ExFztcjc3a9zdbfDxUdJzy5aOpKXlc/NmJvfu6XfU5oIFjdmyJZ6oqGw8Pa2ZNcubggI1a9fGkpCQV+p+dgA3b2Zz44ZhOtiV/aXbWCn+fZTlcXGlT4LevJnFjRv6PzE8d247tm+P5ubNDBwcLBg92psePdzp128Xqal5/PDDFb78sj1JSTmkpuaxeHFHQkLuamcI0LeK9peDgzm7drXDzs6M558Pw9HRAkdH5X3x8bkGqQguWOCriSdLE09jTV4YQ2pqPj/8cJsvv2xGUlIeqan5LF7cnJCQe5w4kaz3WObObcP27Xc0+8qS0aMb0qOHG/367cPLqwajRjVg164Y4uOzqVvXjunTW5CVVcC2bdGVf/hDqGhfgTKC3t3dSjuSvWXLGprjPJt79/Tf6V9Z3uzt7cDo0Y3Ytu0WiYk5tGpVk+DgQA4ejOHcubLvS/qolLLdWfvay8uJ1q1rk5SUza1baSQl6eYzeXkFxMZmcPly2ffUfhTBwXcICWnJe+/VZf36BDp0qMHLL7vx8svFs1O5uFhQv741np7KPT19fZXfMDY2l7g4/ebNle2vuLgs4uJK53k3b6ZXaUDNgzK1vNCU0o6pHetQ8e+TmJjFBx90ZPPmSGJi0nnsMVsmT25DnTo1+OWXywaMxzj1eHt78PEqfu3VAFr7QdI9uBWt/C0pLx9i78LlEn0V9epATReoXxfMzZT3A1y9DhkPGN5sW2t25uVzq7CQGioVz1pZ0t3CnAFpOcSp1cQVlD5xd6uwkBslOvz/bWPFzjzlFPkQSwvesbFiTHqWXm4vYmr1+LlzW7J9e2yJsr0+PXq40q+f0jm7YMElZs1qQWhoMmfPJjN2bEOaNnVg+PCjBorHeHWNbPK5ie7U/TkUkEYON0nBDXu6UJ+zxJJKDrWwZRjNyaWAMyiDHALwxBkbLpNILgW0xp1naM7vRDxyfFVp4/zwww2+/LIVSUm5mnpha0JCEjlxwhDleiwhIc157z1P1q9P1JTrrrz8snLltoWFil9/bUy7dnYMGHAZc3MVbm7KdTtJSfl6v7/5kiXdGD26MYMHbyctLbfUseXl5cCoUT7s2nVLk37smT69nSb9lD1LyaPYsiWLDz5w4ubNfC5cyKNtWyv+/W9HfvyxuA7h4mJG/foWeHoqJ/N8fZVuqtjYAuLi9HviqKJjPSIilStX0vjmmwCmTg0lMTGHIUPq0revOwMGlH/f+kelUsH48S6sWHGPghL/roODGbt2eWnaXFE4OpqXaHPl673NtWRJIKNHezN48F7S0vJLpZ2IiBSuXEnlm286MXXqKc3vU5++fT0ZMED/V59WVCcEZaYzd3dbfHyUAXEtWzpr6j3p3Lun/5NFlfX3FGnUyI7HH6/JU08ZZmr/InPnttCk5SzN71OPHj1q06+fUi6NG9eA8PBU4uNz6dSpJgsXtiI4+CqXLxvmVhWVpR8lJh/Cw1OIj8+mU6faLFzYgeDgC1y+nFrRRz+UiurNXl62jBrlxq5dicTH51K3rg3TpzfU5IMJlX/4AzK1vkIwvT4NY7e57O3Bx6f4tZcXtG4NSUlw6xa4uED9+uDpqaz39VX+xsZCXBykpsIPP8CXXyrvSU2FxYshJAROPOJdlCsr1x0cLNm1ayB2dhY8//xeHB0tcXRU6hnx8fq/DUJlfaleXnaMGuXJrl3xJY4vH036uavXWMrzxBMNUalUXLqUhI+PMwsW9CAiIollywxzS8CSqtLf89VXd5gxox5XrmRz/Xo2s2fX586dXDZt0v/g4AULGrFlS0KJ80oNNXnhXby9bRg92o1t2xJJTMynVSt7goN9OHgwmXPnDDPrRkV5T1xcNnFxpc8B3LyZwY0bhpsFRKmHObJiRapOPQxg3DhHwsNziY8voFMnGxYurE1wcDKXL+t/pgtTO49jSvvK3Nxce6sQc3PdwX/29vYEBQXxzjvvULNmTerXr8/nn39OZmYmEyZM0Hss4tFZULVZLP7OAxf+zrEbRECAOwcOPKd9HRysTOmzfPk5xo/fzqBBPixf/pR2/bp1gwCYOfMos2bpv9Otbl0r1q71pVYtC+Lj8zhyJJXAwDASEpTO86eeusi8eQ3YsqUZNWqYc/VqNmPHXmH7dv13KJmaV19tDsDBgwN0lo8bd5AVK4qnH37xxSbcvp3Brl2GHRVZmfx8NU89dYp583zZssVfs78yGTs2jO3bq/8KXYBJk7yZObOZ9vXhw8rtPcaNO8WKFfrtdKtb15q1a1tSq5Yl8fG5HDmSTGDgSRIS9F9R+TtydbVh5cpueHjYkpKSS1jYPfr128WePcqVKG+9dZLCQjUbNvTE2tqMnTvv8Oqrxw0WT0X7q3t3FwIDnQC4dq2LzvsaNjxCVJT+B8rUrWvD2rWtqVXLShNPEoGBx7RXD731Vrjm92mr+X0SePVVw1z14OpqzcqVnTT7Kk+zr/axZ49yv9Nu3WozZYovLi5WxMVlc+jQXTp33kl8vGFmMqjs2Jo0qS4zZ3prtz98OACAceMusGKF/q90qixvzs0tpE+fOkyZ4oe9vQW3bmWwYcMNPv30L73HUiQgwI0DB0ZqXwcH9wBg+fILjB9v2BN59zt1Kp2hQyP47LMGfPRRPa5fz2bKlOusWVNcDgwaVJPlyxtrX69bp/TqzJx5k1mz9HslWFXL0upianmhKaUdUzvWoeLfZ9KkPTRtWpOxY1vw2GM2JCZmc/JkLN26rePiRf13KCnxGK8eH9AGDmwpfh08R/m7fA2Mf61qn/HJezBudPHrs4eUvz0GwsEHDK+2mYof7G3xMFORolZzvqCQAWmZ7M2v+gnMJywtmGZjjbUKwgoKGJ6exc48/QzgMbV6vJL3dMTDw0ZTtifTr99B9uxRrgJbuPAyNjZmBAe3pWZNK0JDk+nb9yCRkYbpADS1ukZJuRTQnNoMxBd7LEkhhwvcZTp7SEH5/gIKeZLGvEhbAGJJZxl/sRvD3/4S4K23wjRlRaCmrIjj1VfPGuS7Tp3KYOjQK3z2WT0++qgO16/nMGVKFGvWKPlcnTqWDB6sDAYLDW2p894ePS5y8KB+b6v26qvKaK2DB4foLB83bh8rVlwiO7uAbt08mDKlFS4u1sTFZXHo0B06d/6N+Hj9Dyx//fVEZs924T//qYWrqxl37hTwzTdpfPJJsnabQYPsWL68+N7M69a5AjBzZjKzZiWjT5Ud6089dYh581qxZUs3atSw4OrVdMaOPWHQWW369KlBgwZW/Pij7uDjdu1sCQxUbmF07VpTnXUNG4YTFaXfdvSrryrfcfDgkzrLx407wooVVzX9GbuZN8+fLVt6a36fNMaOPcz27fo/EVtZnXDSJF9mzmyj3f7w4ad04jWWF1+sy+3b2ezapf+T9yUp5URAibScSr9+R9mzRzmp6etbg88+a0HNmlbcuJHBnDmXCA423O9SWfpRYnLis8/8NTGlM2dOGMHBFw0ST0X1ZktLFd26OTNlSj1cXCyJi8vl0KF7dO58ivj46u+fMkZfoanVM4zd5goIgAMHil8HB6P5fhg/HgYNUp4XWbdO+TtzJsyapTx/6y1lJuoNG5RbjezcCa+++uixVVaut2tXm8BANwCuXRujs03Dhj8RFVW9t29V6hk1mTLFW3N85XDoUCKdOx8hPr56Zk9wcrLms88ep25dB5KSstmw4TIffHDIYLdcKakq/T2ffx6Nvb05337bCGdnC44cSaV//wsGmc1KyQuba/LCPI4cSSEw8AwJCXnY2JjRp48LU6bUxd7enFu3stmwIZ5PPzXcjKYV5T3G0qePHQ0aWPLjj6UHAPr6WvLZZ7WoWdOcGzfymDMnieDg5OoPUqM6z+OY2r5yLBp5XIZ58+ZRWFjIv/71L9LS0ggICGDnzp24uLiU+x5hPP+E24uo1Gq1YecnNAExMTF8++23vPzyy3h6rjJqLGr1u9rnKpVhrox6EGp18QlTlWqWESNRqNUfa5+rVN8bMRKFWv2S9rlKtb2CLatHWFhdNm7cyLBhw2jVqvpPht1PrR6mfa5SGe7ealWlVvfRPleptlSwZfVQqwdqn6tUy40XCBAW5l8i7ej3HqUPQ3dfGf/YUquLO4dUqtVGjEShVhc3lk3h2AoLcyuRfh7xUg090M2bvzRiJAq1+t/a56ZXthu3LNXdV8uNF4iGbl6429jh3Jd2jH+s6+bNpnZsfW7ESBRhYU8Wp5/uLSt/g4GpS5yfs07S/1WiDyqnZnFHiGnlPeuMGIkiLKx5ibwnzNjh6NQzhvKzESNR/Maz2ucq1UYjRqLQbeOYQr2no/a5SrXUiJEowsK6lkjPDpW/wcDU6oba58Y+3tXqUdrnKpUpHOuttM9Nrx5mmCv4H4RaPU773PTapKaWFy43XiAa0qdRMVPq09DtzzC1NoURA9EICztXIi0fMXY4qNVB2uem15dq/DagqZ3LCQtzLJF+DHMxw4NQq3ton5tW3mMK502KL6YyvXLd+H3fd+700p6z9fDwMHY4wsBSU1NxcnLiClCVFmQa0BhISUmpcNCNKZKZLoQQQgghhBBCCCGEEEIIIYQQQgihdxbmYFmFAZAWakC/d5qsNjLoQgghhBBCCCGEEEIIIYQQQgghhBB6Z2EBFjLoQgghhBBCCCGEEEIIIYQQQgghhBDiwdhag20VBl3kqYEcg4djEDLoQgghhBBCCCGEEEIIIYQQQgghhBB6Z2kOlmZV2K7Q8LEYigy6EEIIIYQQQgghhBBCCCGEEEIIIYT+mQNVGHRBFWbDMFUy6EIIIYQQQgghhBBCCCGEEEIIIYQQ+mdB1QZdyEwXQgghhBBCCCGEEEIIIYQQQgghhBAlyKALIYQQQgghhBBCCCGEEEIIIYQQQoiHIIMuhBBCCCGEEEIIIYQQQgghhBBCCCEeghlgbuwgDEsGXQghhBBCCCGEEEIIIYQQQgghhBBC/yyo2qALlaEDMRwZdCGEEEIIIYQQQgghhBBCCCGEEEII/ZNBF/971Op3jR2Cllrdxdgh6FCrPzZ2CDrU6peMHYIOtfpJY4fAuXPntM/V6mFGjKQ0tbqPsUPQoVYPNHYIOtTqcUb9ft20Y2r7yvjHVklq9Rhjh6DDFPaXbvoxtbz538YOQYfple3G31+3bt0iOTmZsDB/Y4fCzZs3tc9NL+0Y/1gvyfR+H+PX4XXywiQjBlKGnJqOxg5BhynkPUXU6lHGDuG+ctS06hm/8ayxQ9Bhem2cjsYOQYdaHWTsEO5Lzw2NF0gZTOF4L6JWtzJ2CDqM3R6F+9POOOMFUgbTa5OaWl44ztghSJ/GAzCluobptSmMHQGUSMomUa6XZHp9qcZvA5ZkCv09unlhD+MFUgbTynsaGzsEHaZSrqekpJCZmcmdO72MHQrx8fHGDkEYgzlyexEhhBBCCCEexq1bt/jxxx+NHUYpzs7Oxg5BCCGEEEIIIYQQQgiDS0lJYcmSJeTl5Rk7FC1LS0vs7OyMHYaoTjLThRBCCCGEEA8nOTkZgICAAOrXr2/cYDScnZ2pV6+escMQQgghhBBCCCGEEMLgMjMzycvLY+jQodSuXdvY4QBgZ2eHk5OTscMQ1cmc//lRCf/j/15pKtVGo35/yamEVKrVRoxEUXLaJ5VqixEjUZScxkzlacRANNR3ip+rVN8bLxCNsLDi6W1VqhNGjERRcrpdlWq58QLRKDnlpenFc8V4gQBhYcXPVao9xgtEo+R0oCpVuBEjUajVzbTPVaqjRoxEUXLKQpXqjBEjUYSFWWqfq9oZMRANdYmfRKXabrxANEpOJ2t6eU+W8QKhOO+pX78+rVqFVbxxNdCt95haPWydESNRlJyWXaW6YbxANEpOW28K8eiWpaZWVhwwXiAaJae3Nak2lwn0J4XtK35uem2c28YLREOtrqt9bnrHlonVMywr2LCahOnUwz43XiAaJaceN3bZrluuLzdeIBq6dcIDRoujSFhYLe1z02uTmtixbuT+A9Cdmt0U9ldYmJv2uen9PqZWdi01YiS6t8wwhf4Mtbq4E8PYdVSAsDDTOrZ080Lj/z66505MrY2casRIFLptUlPLC42bnnXT8mIjRqJQq1/XPjeF80p37jwNQO3atfHw8DByNOIfq6q3FzGB24E9rH/coAshhBBCCCGEEEIIIYQQQgghhBBCVAML/udHJfyP/3tCCCGEEEIIIYQQQgghhBBCCCGEMIp/wKALM2MHIIQQQgghhBBCCCGEEEIIIYQQQoj/QRYP8HgABQUFfPjhh3h5eWFra0ujRo2YPXs2anXxfUrUajUfffQRHh4e2Nra0qdPH65c0b1NU1JSEmPGjMHR0RFnZ2cmTJhAenr6A8Uigy6EEEIIIYQQQgghhBBCCCGEEEIIoX9mgHkVHg84cmH+/PksXbqUr7/+mvDwcObPn8/nn3/O4sWLtdt8/vnnLFq0iP/+97+cOHECe3t7+vXrR3Z2tnabMWPGcOHCBXbv3s0ff/zBoUOHePnllx8olv/xiTyEEEIIIYQQQgghhBBCCCGEEEIIYRRVncVCM0FFamqqzmJra2usra1LbR4SEsLgwYN5+umnAWjYsCFr167lzz//VD5Orearr75ixowZDB48GICVK1fi5ubGpk2bePbZZwkPD2fHjh2cPHmSgIAAABYvXsxTTz3F//3f/+Hp6Vmlf1FmuhBCCCGEEEIIIYQQQgghhBBCCCGE/j3g7UXq1auHk5OT9vHZZ5+V+bGdO3dm7969XL58GYDQ0FCOHDnCk08+CcD169eJjY2lT58+2vc4OTnRsWNHjh07BsCxY8dwdnbWDrgA6NOnD2ZmZpw4ceKB/kUhhBBCCCGEEEIIIYQQQgghhBBCCP0qun1IZQqVP7du3cLR0VG7uKxZLgCmT59OamoqTZs2xdzcnIKCAubMmcOYMWMAiI2NBcDNzU3nfW5ubtp1sbGxuLq66qy3sLCgZs2a2m2qQgZdCCGEEEIIIYQQQgghhBBCCCGEEEL/HvD2Io6OjjqDLsqzfv16Vq9ezZo1a2jRogVnz55lypQpeHp6Mnbs2EcK+UHJoAshhBBCCCGEEEIIIYQQQgghhBBC6J85VRuVUPhgH/vOO+8wffp0nn32WQBatmxJVFQUn332GWPHjsXd3R2AuLg4PDw8tO+Li4ujTZs2ALi7u3P37l2dz83PzycpKUn7/qowe7DQhRBCCCGEEEIIIYQQQgghhBBCCCGqwPwBHg8gMzMTMzPd4Q7m5uYUFiqjN7y8vHB3d2fv3r3a9ampqZw4cYJOnToB0KlTJ5KTkzl9+rR2m3379lFYWEjHjh2rHIsMuqjAtGlNUKuHERzcSrts4sSG7N/fjZSUgajVw3BysjRoDJMmNSY09ClSUkaSkjKSkJAn6N/fs8xtt23riVo9hsGD6xo0piLTpvmgVg8kOLiFdtn+/Z1QqwfqPJYubamX7+vWETavgOgzoL4Dg/uXv+3Seco2b75UvKx7J2VZWY+A1o8e3/Tprfnzz8Gkpr5AXNwYfvutD02aOOlss3//06jVL+k8li7t8uhfXg5PT0tWrWpEQkI7MjPbExbWEn9/+zK3Xbq0IWp1R958s+qjth7E9Okt+fPPAaSmjiEubhS//daLJk10pwZyc7Nl5cpuxMSMIj19DKdPD2TYsAb/iHjMzOCTT2oSGdmQzMxGXL3agBkzapbabtasmty540VmZiN2766Dj49h8qCPP/ZGre6j8wgPVwogFxcLFi3yJSKiE5mZPYmK6srChU1wdHzA0vABXL/eCLW6WanH118X34crMNCWvXvrk57uS0pKEw4ebICNjcog8Xh6WrFqVWMSEjqQmRlIWFgb/P1raNcPHVqTnTubk5DQAbW6C61bl33c6S8eS1atakhCQisyM9sQFtYMf387nW2aNrXh99+9SU5uTXp6a/7805d69R49/XRrB5u/guidoD4Dg3vorlefKfsx9YXibd6fAEeXQcZRuHfwkUPS8fHHPqjVT+o8wsO7addbW5vx9dfNSUjoTVpaX379tS2urlb6DaKESZN8CQ0dRErKaFJSRhMS8hT9+9fRrp84sQn79/cnJWU0avU4nJz0G0u3bmZs3mxFdLQNarUtgweXrgrOmmXBnTs2ZGbasHu3FT4+xcdRgwYqvv/ekshIazIzbbh61ZqZMy2w1FNWVFG9x8XFikWLAoiIGEhm5iiiooawcKE/jo6Gq4uZUj1s0qRGhIb2IyVlGCkpwwgJ6U3//sVltpubDStXdiQmZhDp6c9w+vQTDBtmuDqhUm45ExlZh8zM+ly9WocZM4rrPRYWMG+eC2FhnqSn1yc6ui4rVjyGh4dhyorK4gEYOtSOnTvdSEioh1rdkNatDXesQ+VlBcCsWfW5c6c9mZmB7N7dAh8fG4PE8vHHDVGre+g8wsM76GwTGOjI3r2tSU/vRkpKVw4ebIONjWGai5MmeREa2puUlIGkpAwkJKQ7/fsXl+ne3vZs3BjI3btPk5IykHXrOuDqWva9Ox9Gt06w+SeIPgfqeBj8ZPnbLl2gbPPmK2Wvt7KCv/Yr27T2e8h4TLidoxxbjkRGupOZWYerV92ZMcNBZxu1um6Zj6lTa5TzqY/GlI6t+02b5o1a/STBwc20y7y97di4sS137/YmJaUv69a10Vtdo1tX2PwbREeBOg8GDypeZ2EB8+ZC2F+Qnqxss2IZlLiwB4DGjWHTBoiPgZREOHwAenTXS3h061aXzZuHER39Kmr1uwwe7FMiPjPmzetOWNh40tOnEB39KitWPIWHh2HSDZhWuQ5Va5N6ezuwcWNP7t59lpSU0axb1x1XV+OUFfv3tym1funSJgaJRYnHtNqkJVX3sX6/v1P/AcB//9uUq1c7k5nZk7t3H2fTptb4+tpV8ImP5vr1hqjVjUs9vv66NgDe3pZs3OjB3btepKR4s26dO66uhks7H39cD7W6i84jPLytdr2bmyUrVzYmJqY96emBnD7dmmHDahksnunT2/Lnn8+QmjqBuLhx/PZbf5o0cdbZ5r//fZyrV0eTmTmRu3fHsWlTf3x9ncv8vEdVWX+Gq6sFy5Y1IDraj4yMNmzf3ggfH/3VCytS1rkBpQ+hNQkJT5OWNohff+2o13pqSaaWDxq7Dl86nvLbyA0a2KFWjyrzMXy44cr2GjUgONiaGzdqkJnpwNGjdgQE6LapmjY14/ffbUlOdiA93YE//7SnXj39919KWVGxbt082bx5ANHR41GrX2fwYG+d9a6utixb1ofo6PFkZExi+/ZB+Pg4lfNpj6Yq55UAAgNd2bv3KdLTx5KS8gIHDz6NjU311H2qi0qlqvAxc+ZMY4coHoXFAzwewMCBA5kzZw5bt27lxo0b/Pbbb3z55ZcMHToUUNLVlClT+PTTT9m8eTPnzp3jhRdewNPTkyFDhgDQrFkz+vfvz8SJE/nzzz85evQor732Gs8++yyenmW3Gcsigy7KERDgwiuveBEamqyz3M7OnB074pg791K1xHH7dibTp5/F3387AQHb2bcvjt9/f5zmzXUz3SlTmqJWq6slJoCAACdeeaUBoaEppdZ9+20U7u67tI933w3Xy3fa20HoBZj8fsXbDekPgf4QHaO7POQUuLfWfXy3GiKj4FToo8fXvbs7S5ZcJDBwM337bsfS0oxdu/pjZ6ebQ3z7bQTu7qu1j3ff/fPRv7wMzs7mHD3agrw8NU8+eYnmzcN4++2b3LuXX2rbIUNcCAysQXR0rkFigaLfJ4LAwK307bsLS0sVu3Y9ofP7rFzZFV9fRwYN2kvLlr+zcWMU69d3p02b0hXC/7V4pk1zISjImddeu0uzZlFMm5bIu++68Prrxcf6u++68MYbzkyadJeOHW+RkVHIzp11sLY2zMCC8+fTcXc/pH107XoKAE9Pazw9rZk69Qp+fscZN+4C/fvX4ocfmhskDoD27W/g7n5Z++jTJwqAX35JA5QBFzt21GPXrgw6dLhO+/Y3+PrrJAofcCqqqlCOrZaaY+sizZv/xdtv39A5tuztzTlyJI1p06L0H0CZ8TTRxHOV5s0v8vbbt3Xi8fa24siRJkRE5NCjx2VatQpn9uxYsrMfvdywt4HQyzB5Xtnr3fvqPsbPhMJC2FA8sBQrS/hlDyz99ZHDKdP582m4u+/VPrp2Pa5dFxzcjIEDXRkx4i+6dz+Bp6c1Gze2M0wgwO3bGUyffhp//y0EBPzBvn0x/P57L5o3dwbAzs6CHTuimTv3nEG+394eQkMLmTy57Pz+3XcteOMNCyZNyqVjxxwyMmDnTiusNf0kTZuqMDODV17Jo0WLHN56K49JkyyYO1c/d6yrqN7j6WmLp6ctU6eewc9vK+PGHaN/f09++CFQL9/9oPGUVB31sNu3s5g+PQx//10EBOxi3767/P57V5o3V07OrFzZEV9fBwYNOkLLljvYuPE269d3ok0bZ4PEM22aE0FBDrz2WhLNmt1h2rR7vPuuE6+/rpyMtbNT0a6dFbNnJ9Ou3R2GDYvH19eSzZtdjRIPgL29iiNHspk27Z5BYiipKmXFu+/W4Y03PJg06RodO4aRkVHAzp0tDFiuZ+DuHqJ9dO36l3ZdYKAjO3a0Yteue3TocJr27U/z9dfRFBYaJl0r6fk8/v77CAjYz7598fz+eyeaN3fAzs6cXbu6oFar6dXrMF26HMTKyowtWzqh0tNPo21XTKt4uyFPQWBA6XZFSZ9/DHdi9RSPCbZzpk1zICjIntdeS6ZZs1imTUvh3XcdeP314hPj7u53dB7jxydRWKhmw4asR/vyMpjisVVEaSPXIzQ0VbtMSc/tUauhV68TdOlyTJOe/fWSnu3tITQMJr9Rep2dHbRrC7PnQLsOMGwk+DZRBmmU9McmZYBGryfAv6PyeX/8Dm5upT/zweOzJDT0LpMn7y4jPgvatXNj9uwQ2rVbybBhv+HrW5PNm4c9+heXw5TKdai8TWpnZ8GuXX016WcHXbpsw8rKnC1beustP7xfRWUFwLff3tFZ/+671wwTiDYe02mTFjHGsX6/v1P/AcDp02mMH3+RZs2O0a/fX6hUsGtXO8wM1Cvdvv0t3N0jtY8+fW4D8Msv6djZqdi1y1Ozr6Lp0uU2VlYqtmzxNNhxBUXH1p/aR9euxe29lSsb4+try6BB4bRs+RcbNyayfr0vbdoY5uKN7t09WbLkPIGBG+nbd4um/3KATn/Y6dPxjB+/n2bNfqZfvz9QqVTs2jUAMzP9/khV6c/YtMkbb28rBg+OpG3bcKKictmzxwc7O8Oe1ijv3EBwcCsGDvRgxIg/6d79EJ6eNmzcaLg2qSnlg8auw5cdT9lt5Fu3snB3/13n8dFH50hLy2P79kesvFfg++9t6dvXgn/9K4uWLdPZtauAPXvs8fRUfgRvbxVHjtgREVFIjx4ZtGqVzuzZOWRn6z8WKSsqptRTE5g8ueyrvzZtehpvb0cGD95K27Y/ExWVxp49Q0qd69GHqpxXCgx0ZceO/uzadZsOHX6nffvf+frriwZrsxtLTEyM9vHVV1/h6Oios2zq1KnGDlE8CgMNuli8eDHDhw/n1VdfpVmzZkydOpVXXnmF2bNna7d59913ef3113n55Zdp37496enp7NixAxub4gHtq1evpmnTpvTu3ZunnnqKrl278u233z7wvyjuY29vzurVAUyceIYZM5rqrFu4UGlQdu/+WLXE8scf0TqvZ8wIJSioMYGBj3HxojLgoXVrF95+uxkBAduJjX3G4DEpv087Jk4MZcaMxqXWZ2YWEBeXo/fv3bFfeVTE0x0Wfwr9RsPWVbrr8vIgLr74tYUFDO4Hi3/UT3xPPrlT5/W4cYeIj38ef//HOHy4uDKXmZlPXJz+OyDvN22aJ7du5fDii5HaZTdulN4vnp6WLF7ckH79Iti61ddg8Tz5pG5H27hxR4iPfw5//1ocPhwHQOfOrgQFHePkyQQA5swJ4623muPvX4uzZ5P+p+Pp3NmW339PZ9u2TACiotJ57jkHOnSwAZRjfcoUZz79NInNmzMAeOGFOOLivBgyxJ5169L1Gg9Afr6auLjSJ2YvXMhg+PAw7evIyCw++OAaP/3kh7m5ioIC/Vf2EhIKdF5Pn+7A1au5HDyo/F7BwW4sWnSP+fMTtdtcvmyYQUTTptXVHFtXtcvuP7Z++knJbBo0MPzVF9OmuXHrVh4vvlg8wOPGDd3/fc4cT7ZtS2HatOIyJTJSP7/PjhDlUZ64RN3Xg7vD/lNwvUTxNvO/yt+xA/USUinlpWVHRwsmTKjL6NGh7N+vHNPjx58jIuJxOnZ05sSJZL3H8scft3Vez5jxF0FBTQkMrM3Fi8ksXHgRUBpchrBjRyE7dpQ/GmnKFAs+/TSfzZuVbV54IZe4OBuGDDFn3boCdu4sZOfO4vdfv67m//4vn6Agc955p/SgvgdVUb3nxx+vMXz4Ye26yMh0PvgglJ9+6mywvMeU6mF//HHnvljOERTUiMDAWly8mErnzrUICjrNyZNKWp4z5yJvvdUEf/+anD2brPd4One25vffM9m2TanTREXl89xzWXToYA2kkZqq5okn4kq8I5/XXkvk5ElP6tUz59atgjI/11DxAPz0k1J+Nmhg+CZQVcqKKVM8+fTTW2zerOyzF164QlxcB4YMqcW6dQl6j6m8vBAgONiHRYtuM3/+Te2yy5cNV1/94w/djs4ZMy4SFORNYGBN6tSxpWFDe9q23UdampKvjB17inv3BtKrV2327o0v6yMfyI69yqMinu6w+DPoNxK2ril7m/694Yke8Mx4eKrPI8Rjwu2czp2t+P33bLZtU3qCo6KyeO45Wzp0KL4CLi5Ot1wZPNiW/ftzuH5dv8c5mOaxBUVt5NZMnHieGTMaaZd36eJCw4a2tG17tER6DuPevT706lWLvXsTy/vIKtmxU3mUJTUVnrhvFpfX3oSTx6BePbh1C2rVgiZNYMLLcE5z/m/6+zA5CPxaQFxc6c99oPh2XGfHjuvlxJfLE0+s143vtT2cPPkC9eo5cOtW2qN9eRlMqVyHytukXbq40rBhDdq23UJaWh4AY8ce5t690fTq5cHevRWMCHtIFZUVAJmZhRWur654jNEmBeMd6/f7O/UfAHz3XfGxFxWVzYwZ1wgLC6RhQ1siI/Vf3yjdf2Cv6T/Iom9fOxo2tKRt21ukpSnl19ixcdy7502vXrbs3WuY+o/y++SVua5zZ0eCgq5x8qSyX+bMuc1bb3ni71+Ds2cz9B7Lk09u1Xk9btw+4uPH4+9fm8OHlXzlu++KL6CLikpjxowThIWNomFDByIjU9GXyvozGje2plOnGrRocZGLF5W6SFDQLWJjW/Lccy788IN+j60i5Z0bUPoQGjJ69J/s369UvsaPP01ExBN07OjCiRP6H9xtSvmgsevwpeOpuI0cF6c7kmHo0LqsX3+LjIxH77soi40NPPOMBYMHZ3H4sJIPzZqVw8CBFgQFWfHhhznMmWPDtm35TJtWXH+NjDRMPFJWVGzHjih27Cj7YrnGjZ3p1MmDFi1Wc/Gi0qYICtpPbOwEnnuuCT/8cFGvsVTlvFJwcCCLFl1g/vzi4/7y5dIXRP/dubsX94c6OTmhUqm0y2bOnMmmTZs4e/asdpuvvvqKr776ihs3bmiXff/993zxxRdcv36dhg0b8sYbb/Dqq69W178gKlLVARUPeCGtg4ODNi2UR6VS8cknn/DJJ5+Uu03NmjVZs6acDqAqkpkuyrBkSRu2bo01SGXgUZiZqRg1qgH29hYcO6bEZmtrzpo1XZg8+WSpioShLFnSkq1b77J3b9kdVmPG1CE+vh/nznVn7tym2NpWzxRHKhWsWgQLlsLFy5VvP+gJqOUCy9YZJp6iKeGTknQ7AceMaUR8/POcOzeMuXMDDPb7DBrkwqlTGaxf70NcXDvOnPHjpZdq62yjUsGqVY1YsOAOFy8afiBISWX9PiEhdxk1ygsXFytUKhg1ygsbG3MOHDDcCGRTiSckJIveve1o3FjpwG7VyoquXW3Yvl2pGHt5WeDhYcGePZna96SmFnLiRDadOhlmetnGje2Iju7GtWud+emnFtSrV/4AAicnC1JT8w3WuVWSpSU8/7wjP/6YDEDt2uYEBtpy924+R482IDa2MQcO1KdLF1uDfP+gQTU1x5YvcXHtOXOmNS+9pIdLAR86HidNPF7ExbXkzJmmvPRS8VSkKhU8/bQTly/nsGOHD3FxLTl+3JfBgw0zJV5FXGvC013hh03V+71KWu7JtWvd+emn1tSrpxwz/v6OWFmZsWdPcXl26VIGUVFZdOrkbPC4lHLdS1Ou3zX491XGy0uFh4eKPXuKOylTU+HEiUI6dSq/yujkBEn6HYcGlF3vKf3dlqSm5lVL3mMq9bDiWOppYlE6GkNCEhk1qn6JMquepswyTNoKCcmhd29bGjdWWkutWllqyq3y6xNOTmYUFqpJTtb/NEQPE48hVVZWeHlZ4+FhxZ49xZ0kqakFnDiRRqdODmV95CNr3NiW6OhOXLvWkZ9+aqYt12vXtiQw0JG7d/M4erQtsbGdOXCgDV26VE85YWYGo0bVxd7enGPHkrC2NkOtVpOTU5xOsrMLKSxU07Vr9Qx8V6lg1X9gwRK4WM4Eh6614bsv4V+vQqaBk5kx2zkhIbn07m1937FlzfbtZed5rq5mPP20DT/8oP+TRGCaxxbAkiXNNW1k3ZM/FadnF4PFUx4nR2XGseRk5XViIkREwAv/UmbGMDeHVyYqgy1On6n28HBystaUE/q/iON+plSuF7m/TaqkH8jJKa6bZWcXaNKPYdof5ZUVRcaMcSU+vgvnzrVn7lwvbG0N261oam1SUznW/879B3Z2Zowf70lkZCa3bhn+OCvuP1AGClhbqzTHVXE6yc5WU1gIXbsapg8Bio6t9ly75s9PPzWhXr3iW8+EhKQyatRjuLhYaOrxj2FjY8aBA9VzMq28/ssidnYWjB/flMjIVG7d0u9J2Mr6M4quts/OLj62ivZf166Gux1VeecG/P1dNH0IxcsvXUonKiqTTp0Mc0sYU8sHi5haHb6sNnJJ7dq50LatCz/8EFnGu/XDwgIsLFSlZpXNylLTtau5pn/OgsuXC9mxw464uBocP27P4MGGuShAyoqHZ22tnK/Jzi4eEFNUJ+vateq3GXhY9+fLtWvbEBjoyt27WRw9OpDY2DEcOPA0XboYrz/aVK1evZqPPvqIOXPmEB4ezty5c/nwww9ZsWKFsUMToIxIMK/C4288ckFmurjPqFF1adfOmfbtK7nUqBr5+Tlz7NgT2NiYk56ez9ChhwgPVxoLwcH+hITEs3nz7Uo+RT9GjfKkXTsn2rc/XOb6NWuiiYrK4s6dbFq1cmT+/Gb4+tbgmWdOlbm9Pk2bDPkFsOiHqm0/4TnYeaDi6YIflkoFX30VyJEjsVy4UDzKec2aq0RFpXPnTiatWtVk/vwO+Po688wze/Qeg7e3NUFBbnz5ZQxz596hfXt7Fi1qSG6umpUrlROM06Z5kp8PixY94iVMD0j5fTpw5EgcFy4ka5ePHHmQdeu6k5Q0mry8QjIz8xk6dD/Xrun/KidTi2fevHs4OpoREdGAggKlw/ODDxJZs0b5Lnd3JbuOi9O9YiMurkC7Tp9OnEhh3LgLXLqUiYeHFR9/7M3hwwH4+R0nPV03hlq1LPnwQy++/Ta6nE/TryFDHHB2Nmf5cqUDwttbaTzMnPkYU6fe5ezZbF54wYm9e+vj5xfJ1atlX03ysLy9bQgKcufLL6OZO/c27dvXYNEiL3JzC1m5svoH6ynHem2+/PIuc+fG0r69HYsW1dMc60m4ulrg4GDO9OluzJgRw7Rp0fTv78jGjd707HmFQ4f0P3K9PGMHQlombNxXbV/JiRPJjBt3jkuXMvDwsObjj304fDgQP7/DuLtbk5NTSEqK7lUFcXE5uLsbbpYSpVx/ukS5vo/wcOOPTnd3Vzq04uJ0Owji4tS4lzPxRqNGKl5/3YKpU/V3nFVU7ympVi1rPvywJd9+e7WMT9EfU6qH+fk5cexY7xKxHNXGMnJkCOvWdSIpaWiJMusI164Z5hifNy9FU27VKVFuJbNmTdknWq2tVcyf78LatRmkpem/E/BB4zG0ysoKd3elE+X+q3zi4vK06/TpxIlUxo2LKFGuN+Tw4bb4+Z3E21s5wTBzZkOmTr3G2bPpvPCCG3v3tsbP7yRXrxpmRIGfnyPHjvXAxsZMk56PEx6eRnx8DhkZBcyf78f7719ApYJ58/ywsDDDw8MwnX/3m/YGSh25glkkly+G/66A06HQoJ6B4zFiO2fevDQcHVVERLiVOLZSWbOm7HQxdqwdaWlqNm40TLoxtWMLYNQoD00bufTUX8ePJ2vSsy/vv38JlUrFvHlNNOm5eu5HX8TaGuZ/BmvXQVqJ5kyf/rBpA6TdUwZk3L0L/QcUD8yovvjMmT+/O2vXhpOWZriZFEypXC+prDbp8ePxZGTkM39+AO+/f1qTfvw16Uf/J4crKivS0wtYsyaOqKhs7tzJpVUre+bPb4Svrx3PPHNB77Eo8ZhWm9SUjvW/Y/9BUFBdPv/chxo1LIiIyKBv37/IyzP8ieEhQ2rg7GzG8uXKcX78eDYZGYXMn1+L999P1NQzHsPCQoWHh2G6yU+cSGPcuCtcupSl+X3qcfhwS/z8zpKeXsDIkZdYt86XpKSOmnp8IUOHRnDtmuFPNCp5TxeOHInhwgXdkfRBQS34/PNO1KhhSUTEPfr23UJenn4HT1fWnxERkU1UVA6ffVaHV165SUZGIW+95Uq9elZ4eFhW/gUPoaJzA0ofQgEpKbrt37i4bIP0IZhaPgimV4evqI1c0oQJ3ly8mFLmgAx9SU+HkJB8PvzQmvDwLOLi1Dz3nCWdOplz9Wohrq4qHBxUTJ9uzYwZOUyblk///hZs3GhLz56ZHDqk31nipKx4eBER94iKSuWzzzrzyiv7ycjI46232lCvngMeHnYG/e6yzit5eyuDx2fObMfUqSc4ezaJF17wYe/ep/Dz28DVq/qbgejv7uOPP+aLL75g2DDlloVeXl5cvHiRb775hrFjxxo5OlHlmS70P2lmtZFBFyXUrWvLwoWt6Nv3iM6oTGO7dCmVNm224eRkxfDh9VmxohPdu+/Gx8eBXr3caNt2e7XEUbeuDQsX+tG377Fyf5/vviuekvj8+TRiYrLZt68z3t52REZmlvkefWjXEt58Cdr1q9r2dTygXw8Y+Yph4lmypAt+fi507bpFZ/l33xVfKnf+/D1iYjLZt+9pvL0diIzU74l8MzM4dSqDDz5QOozOns3Ez8+OSZNcWbkygXbt7HjzTTfatTuv1++tiiVLAjW/zzad5bNnt8XZ2YrevXeSkJDNkCH1Wb++B926beP8+eT/6XhGjqzBmDEOjB4dy4ULubRpY81XX9Xmzp18Vq407KCTsuzYUdwIOXdO6YCLiurKyJFu/Phj8fR9Dg7mbN3ahosXM5g503CjxUuaMMGZ7dvTiYlRTpQX3VP0m2+StQMxzp69S+/e9rz4ojPvv6/fgRDKsZXOBx/c1HxXhubYcjfKoAslnkw++OCOJp4s/PxsmTTpMVauTNL+Pr//nsJXXylXvIeGZtG5sz2TJj1WrYMuXhwEq7dDTvXNSMyOHcWzWJw7l8aJE8lERfVg5EgPsrKMU4NTyvXNmnK9AStWdKN79+0mMfDiQXh6wo4dVvzySwHff6+/37K8ek/JjhMHBwu2bu3BxYspzJwZVsGnGS6e6q6HKbGk0abNLpycLBk+vC4rVnSge/f9hIenMnt2S02ZtZ+EhFyGDKnD+vWd6dZtH+fP6z9tjRxpz5gx9owenaApt6z46quamnJLd6CDhQWsX18blQqCggzTyfUg8VQHUysrduwo7kQ/dy6DEyfSiIoKZOTI2oSHK3X0b765w/LlsZp40+nd24UXX3Tn/ffLvjXAo1LS815Neq7DihUBdO9+iPDwNEaMOMHSpW14441GFBaqWbv2NqdP36uW+9W2awVvvgztepW/zesTwaEGfPaVwcMxejtn5EhbxoyxY/ToJC5cyNMcW07cuVPAypWl23cvvmjP6tWZ5BhoogJTO7aUNnIz+vY9WWYbOSEhlxEjzrJ0aQveeKOBJj3HcPp0CoXV2OVgYQHr1yqduEGTddctWaQMtOjWE7Ky4KUXYctv0L4TxBp+wkFNfGasXz8YlUpFUNAug36XKZXrJZXVJk1IyGHEiAMsXRrIG28006Sf65w+nWCQ/LCisuLHH2P57rvikVznz2cQE5PLvn1t8Pa2ITJS/yeHTalNamrH+t+x/2D16hh2707Ew8OaqVMbsH59S7p0OWXw/tcJExzZvj2DmBilvZKQUMCIEbEsXVqbN95wprAQ1q5N4/TpbIPVM3bsSNY+P3cuU3NsBTByZC1+/PEus2fXx9nZgt69z5OQkMeQIbVYv96Xbt3Ocf684fpSAZYseRw/v5p07bqp1LrVq6+we/dtPDzsmDq1DevXP0GXLr/pzL7zqCrrz8jPh2HDIvnhhwbcu9ea/Hw1e/aksm1bCiqV3sLQMrVzA6aUDxYxtTp8RW3kIjY25oweXZ/Zs/V7S4iy/OtfWfz4oy137jiQn6/mzJlC1q7Nw9/fHDPNldu//57PV18pHWOhobl07mzOpElWHDqk30HLUlY8vPz8QoYN28YPP/Tm3r2Xyc8vZM+eW2zbdgOVITKfEso6r1Tc9x3B8uVXADh7NpHevevw4otNeP99w1/w/HeQkZHBtWvXmDBhAhMnTtQuz8/Px8mp+md8FmWQQRf/LP7+zri52XDmTHEPm4WFGY8//hivveaNtfWmau0YKZKXV6i9SvHMmSTat6/Jm282JSurgEaNHEhOHqGz/YYN3Th8OJ6ePfU7e4Ly+1hz5szj2mXK71OL115riLX11lK/z4kTyQD4+NgbdNBFt47g+hjcPFm8zMICvvgYpkwEr466248fBYn3YLMB+nMWL+7EgAH1ePzxP4iOrvh/PnFC6Rj08XHU+6CLmJi8UrcMCQ/P4plnagLQrZsjrq6W3LzZVrvewkLFF1/UZ8oUd7y8zuo1niKLF3fU/D7bdX4fb28HXn+9GS1abOLixWQAwsLu0a2bG5MnNyMo6Nj/dDwLFjzGvHn3tPfLO38+lwYNLHjvvZqsXJlGbKwywMDNzZzY2OJSx83NnLNnDT/9bkpKPpcvZ+DjU3xFVY0a5uzY0Za0tHyGDg0jP9/wJ0Lq17egTx97hg0rvvqsaPDFxYu6v0N4eC716+v/yoeYmNxyji3DTCVZeTx52nubFseTzTPPOAOQkJBPXp66zG0MOR3n/bq2haZeMGp6tX1lmYrTsh27dydgbW2Gk5OFzmwXbm7WxMYa7rhSynUlzz9zJpH27R/jzTebM2mSYfK5qoqNVY5hNzeV9nnR67NndY9vDw/Yv9+akJBCXn5Zv7PJlFfvmTTpTwBq1LBgx45epKXlMXToQYPnPaZSDysdyz1NLE34/PNwXn+9MS1abOfiRaVzKSwsmW7dHmPyZB+Cgk7rPZYFC1yYNy+FdeuUAQ3nz+dpyi1nnUEORQMuGjSwoFevWIPMcvEg8VSXysqK2Filk83NzYrY2OJjyM3N0iD37r6fkhdm4uNjy759yQBcvKhbbw0Pz6R+fcNdlZaXp+baNeV/PXMmmfbtXXjzTR8mTfqL3bvv4uOzi1q1rMjPV5OSkkdMzFNERhr+6vNunTTtirPFyyws4ItZMOVl8PKHXl2hUwDk3Hch4andsHoDjHtNj/EYuZ2zYIET8+alsW6dkp7Pn8+nQQNz3nvPodSgi65drWja1JJRowxwzykNUzu2/P0dNW3kztplShu5Jq+9Vh9r653s3p2Aj89BatWy1KTnfGJiehEZaYApF8tQNOCiQQPo1Vd3lotePWHA0+BSu3j55Nehb28Y+y+Yv6A64jNj/fpBNGjgSK9ePxt0lgswrXK9SHltUoDdu+/g47ORWrWsNeknl5iYUURGGmZAXEkly4qynDih1Dl8fGwNMuii7HiM0yY1tWP979h/kJpaQGpqFlevZnH8eAr37vVg6NDa/Pyz4WZeVfoP7Bg2THcf7N6diY9PFLVqmZGfDykphcTEeBEZqd92TXlSUgq4fDkLHx9bvL1teP11T1q0OKMt38LCMunWzZHJkz0ICrpmsDgWL+7KgAENePzxTURHly4jU1NzSU3N5erVFI4fj+PevRcZOtSLn3/W30yDlfVnAJw5k0XbthE4OpphZWVGQkI+x4/7cuqU/vuZKzs30K/fUaytzXFystSZ7cLNzcagfQhFTKFvztTq8OW1kSdNKj4JPXx4XezszFm58obB4igSGammR49M7OzA0VHpW/n5Z1siIwtJSFBr+ud0zyaGhxfStav+bz8uZcWjOXMmnrZtf8bR0UqT92Rz/PgITp0y3O2ByzuvFBOjPC86R1EkPDyZ+vWrr2/X2MzMlNsYlZSXV5wXp6craf27776jY0fdhrK5uf6PMfEQim4fUpXt/qZk0EUJe/fG4+en25BetsyfiIg05s+/bJQBF2UxM1NhbW3Gxx+H8f33uhXd8+cH8NZbZ9iyRf+VGeX3OaCzbNmyNkREpDN//tUyf582bRwBiIkxbAN81QbYc98dT3auUZaXdS/j8aNg5a/KtMH6tHhxJ4YObUiPHlu5caPyq8fbtFE6B2Ni9D/97tGjafj66naUN2liQ1SUUmlatSpB517HADt3NmXVqgSWLTPMVWKLF3dk6ND69Oixo9TvY2en5KT3j34uKFBrRwL/L8djZ2dW6hgqKED7Xdev5xMTk0/v3naEhiodkQ4OZnTsaMPSpYa/Ot7e3pxGjexYtSpW893m7NzZlpwcNYMGhVbbiOPx4525e7eArVuL99eNG3lER+fh66s7lWOTJlZs367/WRzKPrZstcdWdTt6NKOMeKyJilLSSV6empMnM8r4fWy021SHCYPh1EUIu1JtX1mm4rR8h9OnU8nNLaR371ps3Kg04Jo0sadBA1uOHUuutpiUct34tcnr19XExKjp3duc0FClgHRwgI4dzVi6tLgR4+mpDLg4fbqQ8ePzUBt4vFVRvUeJx4KdO3uRk1PIoEEHjXL1kbHqYRXFYmenVOnLLrMMcxWGnZ2qwnILigdcNG5sSc+esSQlGW5/VSWe6lRZWXH9eg4xMbn07u1EaKjSaengYE7Hjg4sXWr4S8uVvNCWVaviuHEjm+joHHx9dU+qNWliy/bthjt5fj8zM7THepHERKWc6tmzNq6u1mzebPiT1KvWw56Dust2rodVv8CyNcrrN96HGZ8Vr/d0h12/wKiJcELPY5yM3c55kGNrwgR7Tp3KJSzMcCetTO3Y2rs3ET8/3R20bFlLIiIymD8/Uue3S0xUfpeePWvi6mrF5s2G67AtUjTgorEP9OwLSfcd0naa2ZHv38eFhdWTfxYNuGjc2IWePX8mKan679lt7HK9ojZpSYmJShrv2dMdV1cbNm++ZbCYipQsK8rSpo3SyR8TUz1tCmO2SU3tWP+79R/cT6VSHveX+/o2fryjpv+g7EF3iYnKj9izpy2uruZs3lw9A3Xt7c1o1MiGVavisbNTfoPS+9NwfWGgDLgYOtSLHj02c+NG5ReBFe8z/bZbK+vPKCk1tRAoxMfHmoAAOz788E6pbR5VZecGbt3K1PQh1GbjxjuaeGvQoIGdQW9bUcRU+uZKMpU6fHE8qlLxTJjgzebNd0hIqL5+u8xMyMxU4+wM/fpZ8O672eTlwcmTBfj66sbXpIkZUVH671iRskI/UlOV38bHx4mAAFc+/PC4Qb6novNKN26kEx2dga+v7mwNTZo4sn179d8Wz1hq165NbGwsarVaO+PI2bNntevd3Nzw9PQkMjKSMWPGGClKUSGZ6eKfJT09nwsXdO9/lJGRT2Jirna5m5s17u42+PgojcuWLR1JS8vn5s1M7t3Tf+fS3Llt2L79DjdvZuDgYMno0Q3p0cONfv32EReXTVxc6U6JmzczuHFD/w2F9PQCLlzQrYgX/z5peHvbMXp0HbZtu0tiYi6tWjkSHNyCgwcTOXfu0WdxsLcDH6/i1171oHULSEqGW9GQdE93+7x8iL0Ll+8bFN6rK3g3gO/XPHJIOpYs6czo0Y0YPHg3aWl5uLkpHdcpKblkZxfg7e3A6NGN2LbtFomJObRqVZPg4EAOHozh3Dn9d2gHB8cSEtKc997zZP36RDp0qMHLL7vy8svKFTFJSfkkJen2xublqYmNzePyZf13di1ZEsjo0d4MHryXtLT8Ur9PREQKV66k8s03nZg69RSJiTkMGVKfvn09GTBA/1cVmVo8W7Zk8MEHLty8mceFC7m0bWvNv//tzI8/FudJX32VzIwZNblyJY/r1/OYPbsWd+4UsGmT/o/3BQsas2VLPFFR2Xh6WjNrljcFBWrWro3FwcGcXbvaYWdnxvPPh+HoaIGjMr6K+Phcgw1QU6mUQRcrViRTcF/Bu2BBIrNm1SY0NJuzZ7MZO9aZpk2tGD48We9xBAffISSkJe+9V5f16xM0x5YbL79cnNm4uFhQv741np7KvcOLTmTFxuYSF6ffsiI4+C4hIb68954b69cn06GDHS+//Bgvv1x8u6cFC+JYt86LQ4fS2b8/nf79HRk40IkePS4/8vfb24JPiXvZe9WB1k0gKRVuadpNDvYwoi+8/WXZn1HPHWo6Qn13MDdT3g9w9RZkPOKYtAULfDVpOUuTlhtTUABr18aQmprPDz/c5ssvm5GUlEdqaj6LFzcnJOSedqYmfZs7tx3bt0drynULRo/2pkcPd/r1Uy5JdnOzxd3dFh8f5X6NLVs6a+oZ6dy79+gd2vb24ONTfBLey0tF69YqkpLg1i01X32Vz4wZFly5Usj162pmz7bkzh01mzYpB52nJxw4YE1UlJqpU/OoXbv4s+P0cOFBRfUeBwcLdu3qjZ2dOc8/fwhHR0scHZXZbOLjcwwyZakp1cPmzm3J9u2xJWKpT48ervTrd5CIiFSuXEnjm28CmDo1VFNm1aVvX3cGDDhc+Yc/hC1bsvjgAydu3sznwoU82ra14t//duTHH5XOAQsL+PVXV9q1s2LAgDjMzVW4uSmdtElJBeTpudpcWTwALi5m1K9vgaenEoevr9IUio0tKHUf20dVlbLiq6/uMGNGPa5cyeb69Wxmz67PnTu5bNqk/w7bBQsasWVLAlFROXh6WjFrVkNNuX5Xs/4Ws2Y1JDQ0g7Nn0xk71o2mTe0YPvyC3mMBmDu3hSY9Z2nywnr06FGbfv2OAjBuXAPCw1OJj8+lU6eaLFzYiuDgq1y+rJ/BlPb297Ur6kNrP6U9UWa7Ik+3XXHrvhku0jWH/LUbEP0Qfcqm3M7ZsiWbDz5w4ObNAs2xZcm//12DH3/UvbrUwUHFiBG2vP22YTtoTe3YUtrIuukyI6OAxMQ87fJx4+oQHp6hSc/OLFzYjODgG1y+/OhlhVKuF7/28oLWrZXBFTEx8Os6aNcWBgxR7uPt5qZsl5SkpOtjx+HePVjxI3wyR7m9yMQJyuds1cNdNuztLfHxcSkRnzOtW7uSlJRFTEwGv/46mHbt3BgwYAPm5ma4udlr4ssiL0//jQpTKteh8jYpwLhxPoSHpxAfn02nTrVZuLADwcEXuHxZ//furqis8Pa2YfRoN7ZtSyQxMZ9WrewJDvbh4MFkzp0zzO9jSm1SYx/r9/s79R94edkyapQbu3YlEh+fS926Nkyf3pCsrAK2bUuo/MMfktJ/4MiKFaml+g/GjXMkPDyX+PgCOnWyYeHC2gQHJ3P5smEGDS5Y0JAtW5JKHFv1NW3SeJKTC7hyJYtvvmnE1Kk3SEzMZ8iQmvTt68yAAeEGiWfJkm6MHt2YwYO3k5aWWyrv8fJyYNQoH3btukV8fDZ169ozfXo7zT67WcmnP5iq9GcMH+5MfHw+N2/m0rKlLQsX1mXTpmR279b/7RGqcm7ghx9u8OWXrUhKytX0IbQmJCSREyfulfWRj8SU8kEwfh2+dDzlt5GLNGpUg8cfr81TTx0ySAz3e+IJc1QquHSpEB8fMxYssCEiooBly5T8ZcGCXNats+XQoQL278+nf38LBg60oEcP/c/cImVFxZR6avEgBi8vR1q3foykpGxu3Upn+HAf4uOzuHkzjZYta7Fw4eNs2hTJ7t36H/ha2XklgAULwpg1y5/Q0ETOnk1i7NjGNG3qzPDhe/Uej6nq0aMH8fHxfP755wwfPpwdO3awfft2HIsyP2DWrFm88cYbODk50b9/f3Jycjh16hT37t3j3//+txGjF4Ayg0VVRiXo+WL56iSDLh7QpEnezJzZTPv68OHuAIwbd4oVK/Rb8QRwdbVm5cpOeHjYkpKSR1jYPfr128eePdV0c9UHkJtbSJ8+tZkyxRt7e3Nu3cpiw4YYPv1UP5c1B7SGAxuKXwfPUv4uXwfj36r650x4Do6ehEv6mw0PgFdfbQ7AwYMDdJaPG3eQFSuuaH6fOkyZ4oe9vQW3bmWwYcMNPv30L/0GonHqVAZDh17hs8/q8dFHdbh+PYcpU6JYs8bwI6/L8uqrTQE4ePBJneXjxh1hxYqr5Oereeqp3cyb58+WLb2pUcOCq1fTGDv2MNu3R5f1kf9T8bz++l1mz67Ff/7jiqurOXfu5PPNN6l88knx/vr883vY26v49ltXnJ3NOHIkm/79o8nJ0f+Jxrp1rVm7tiW1alkSH5/LkSPJBAaeJCEhj+7dXQgMVCql16510Xlfw4ZHiIoyzBVqffrY06CBJT/+WLozf+HCe9jYmBEc7EbNmuaEhmbTt+9Ng0wPeupUOkOHRvDZZw346KN6XL+ezZQp11mzpniGmEGDarJ8eWPt63XrfAGYOfMms2bpt3J+6lQmQ4de47PP6vDRRx5cv57LlCm3WbOmuMG/aVMKkybd4r333Fi0qB6XLmXzzDORHD366I2ogOZw4Lvi18FvK3+Xb4bxM5Xnz/YDFbB2Z9mf8ckkGDeo+PXZn5W/PSbCwUe8YrhuXRvWrm1NrVpWmrScRGDgMRISlAEMb70VTmGhmg0b2mJtbcbOnQm8+qphTjICuLrasHJlN025nqsp13exZ49ylm7SJF9mzmyj3f7w4aeA4rzpUQUEmHHgQPGsJ8HBysCg5cvzGT8+j88/z8feHr791gpnZzhypJD+/XPJ0VwQ0revOY0bm9G4MURH614Vr1I9+qxNFdV7und3JTDwMQCuXRus876GDTcRFaX/TgFTqocpaacjHh42mliS6dfvIHv2KKNdnnrqEPPmtWLLlm6aMiudsWNPsH27Ya4qev31RGbPduE//6mFq6sZd+4U8M03aXzySTIAdepYMHiwcgl1aGgdnff26BHLwYP6LSsqiwdg0CA7li9/TPt63TpXAGbOTGbWrGT0qSplxeefR2Nvb8633zbC2dmCI0dS6d//ggHL9eaacj2PI0dSCAw8Q0KCUk4uXHhbU442omZNS0JD0+nbN8xg08Urx1ZAifScSr9+R9mzRxkE4utbg88+a0HNmlbcuJHBnDmXCA7WX+U9oDUc+L34dfCnyt/lP8P41/X2NQ8Wj4m2c15/PZnZsx35z3+cNXXUAr75JoNPPtE9IfHss3aoVLB2rWHvPW9qx1ZV+Pra89lnvtSsacmNG1nMmXON4OAbevnsAH84UKKfNfj/lL/LV8LMT2Cwpn4Vel99qkdvOHgIEhOh/wCY8wns2wWWlnDhIgweBmFheogvwJ0DB54rji9Yma59+fJzzJx5lMGDlfpyaOh43fh6rOXgQf13aJtSuQ6Vt0kBfH2d+Owzf01+mM6cOWEEBxvmnvQVlRU2Nmb06ePClCl1Nf092WzYEM+nn0YZJJbieEyrTVoRQx7r9/s79R9YWqro1s2ZKVPq4eJiSVxcLocO3aNz51PExxtuZqQ+few0/QelByj5+lry2We1qFnTnBs38pgzJ4ng4GSDxVK3rhVr1/pSq5aF5thKJTAwjIQE5YzCU09dZN68BmzZ0owaNcy5ejWbsWOvsH27/k/iA7z6qh8ABw8O0Vk+btw+Vqy4RHZ2Ad26eTBlSitcXKyJi8vi0KE7dO78G/Hx+p2ptyr9GR4elnz5ZV3c3CyIiclj5cokZs82Xr/4W2+FafoQAjV9CHG8+upZg3yXqeWDxq7Dl46n4jYywIsvenH7dia7dlVPmnFyUvHZZzbUrasiKUnNhg35fPBBtnYWuk2b8pk0KZv33rNi0SIbLl0q5Jlnsjh6VP+XdUtZUbGAAFcOHBimfR0c3A2A5cvDGT9+Dx4ednz5ZVfc3OyIiclg5coIZs8+Wd7HPZLKzisBLFx4ARsbc4KDA6lZ05rQ0CT69t2u91vWm7JmzZrxn//8h7lz5zJ79myeeeYZpk6dyrfffqvd5qWXXsLOzo4FCxbwzjvvYG9vT8uWLZkyZYrxAhfFqjrTxd945IJKff9NcP4HxcTE8O233/Lyyy/j6Wnc+6Wr1cUZuUq12oiRKNTq4ml2VKotRoxEoVYP1D5XeRoxEA11iZnqVKrvjReIRlhYRzZu3MiwYcNo1cqwHZpVoVYX3xtLpVpuvEA01Opx2uemF49x76kQFpZdIu1U/33w7qdW99E+V6kMc/XGg1CriwfTqVRHjRiJQq0ubjCrVGeMGIkiLMyyOP2MbWnscFCX+ElUKj1chvmI1OrijnLTy3v0f/uqBxEWdrVE3qOHszePSLfeY2r1sDLuE1DN1OpR2ucq1Q3jBaKhVjfUPjeFeMLC0kqkZ/1fYfygdMuKA8YLREOt7qF9rlJtNF4g3Nfmql3BhtUkbN+54rTTzwTKUZ02jvGno1Wr62qfm149zMTqGZZGDEQj7EyJ9NzKFH6fd7XPjV2265bry40XiIZunfCA0eIoEhZWy4TbpKaQlku2KYx8T0ZArS6+iECl0v9snw8qLMytRPqxqfwNBqb7+5ha2bXUiJGAWh2kfW4K/RlqdTvtc2PXUQHCwhqbcF5o/N9H99yJqbWRjd8GDAuLMuG80LhlhW5aXmzESBRqdfFoflM4r3TnztPac6QeHh7GDkf8w6SmpuLk5ETKLHCsQtaVmg1OH0NKSorOTCZ/B3/j8SJCCCGEEEIIIYQQQgghhBBCCCGEMFn/gJku/sahCyGEEEIIIYQQQgghhBBCCCGEEMJkyaALIYQQQgghhBBCCCGEEEIIIYQQQoiHYAaYV3G7vykZdCGEEEIIIYQQQgghhBBCCCGEEEII/ZOZLoQQQgghhBBCCCGEEEIIIYQQQgghHoIMuhBCCCGEEP/P3n2HR1Htjx9/b3ohhZZGD4HQWwKEmtAElQ7CFb0SxEJEvaBcQQEFkSa/r6HIRfCKgAoXFEQQEkJvgUiRBEhCC4SQRkJ6b/P7Yza72XTIbna997yeZx52Zya7H2ZnTpsz5wiCIAiCIAiCIAiCIAiCIAiC8AyMqd30IrXZx0CJTheCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIGifGOlCEARBEARBEARBEARBEARBEARBEARBEAThGRhTu14JYqQLQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRCEMsRIF4IgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCM/AmNqNYiFGuhAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQShDjHTx30eSJuo7BBVJekXfIWiQpDH6DkGDFKfvCDRJ0hv6DoHr16+rXktSXz1GUpEk+eo7BA2GF087vX6/5rkzXI+RVCRJHfUdggZJGqDvEDRIUi99h6B5/lzVYyCVkKTn9R2CBsNLeyz1+v1lTh0DLPcYWjxT9R2CBklqre8QNBhCPJp5qaHlFT76DkGDQdW5kvQdQbm00ODqOM31HYIGw7u2DKOcERMTQ1paGmEGUA57+PCh6rUkfaTHSCoypLzd8MqEPvoOwcDrpIZxrZfSd/tBeYbwe2meP4Z2fAwt7/LTdwgqhtCeUZYhlFENOy3U//Epy/DqyLb6DqFcG4uhpYWGcz5L0nv6DkGDIdxXio+P13cIgiA6XQiCIAiCIAiCIAiCIAj6ERMTw9atW/UdRgX29vb6DkEQBEEQBEEQBEH4qzCidlOHGOk6EN0RnS4EQRAEQRAEQRAEQRAMUFpaGgCenp60bNlSv8Eo2dvb06JFC32HIQiCIAiCIAiCIPxViJEu/vsoFBl6/f6yw1ApFIV6jEQmSaaq1wrFcj1GIpOkharXCsUxPUYiKzsslkKxT4+RyMLC1MOGKRTn9RiJrOwQigrFbj1GIis77JxCcVCPkcjKTtmjUGzTXyBAWJiH6rW+YwHN4XYVVvqLo5SUo35tcMdHcUpvcZQKC2useq3opsdAlKQw9WuF4pH+AlEqOzS7YqceA1GSpqlf6zstDAtrrXqtUIToLxClslNzGV45bJv+AlHSTHt+0l8gSmWHiTeE46OZl/5bj5HIyg5RanjlQv2mPYZUBoPy585XeoxEJkkfqF7ru34M5erIq/UYiJI0X/3aENLCsDC58NWyZUu6dbPQczSaQ1krFJv0GIms7DD6CoUeAwEkSf3a8PKJU/oLREmjTmEA8ZSdckWh0P/cPWWnYTC846P/cnxYmLrhwBDa58pOw6DvtAfKpT//0l8cANI76teGkI9q1in0f+5otu0aWNulAcxWId1Rvza8crOhnT/b9BeIkmYbwgO9xQGaU5Ia3rHRf1oYFzdU3yEIguh0IQiCIAiCIAiCIAiCIAiCIAiCIAiCIAiC8EyMqd30IrXZx0AZTKeLzMxMMjMzAbC2tsbGxgYjo7/wxC2CIAiCIAiCIAiCIAiCIAiCIAiCIAiC8L9MjHRRe8XFxTx48IDU1FTy8vKwsrKiWbNmODo6Vvk3+fn5nD9/ntDQUFWHi1Kmpqa4urrSq1cv2rUzgLGtBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEGoPXOgNjNmFuk6EN2pc6cLSZI4d+4cwcHB5OfnV9jerFkzXnzxRZycnDTWx8fHs2vXLrKyspDKTjynVFBQwK1bt7h16xZubm5MmjQJc3PzuoYrCIIgCIIgCIIgCIIgCIIgCIIgCIIgCEJ9+B+YXqRO83eUlJSwa9cuTp48SV5eHpIkVVgePXrE1q1biYqKUv1dSkoK27dvJzMzE0mSUCgUlS6ln3H37l1++OEHCgoK6vwfFgRBEARBEARBEARBEARBEARBEARBEAShHpg8xfIXVadOF8eOHePOnTvVdpxQKBQUFhbyyy+/kJ2dDcD+/fvJz89XbQcqdNYANDpfxMXFcezYsTr+dwVBEARBEARBEARBEARBEARBEARBEARBqBfG1K7Dxf/iSBcpKSn88ccf1XacKDttSF5eHqdPn+bevXvExMRU+Jvyyne+kCSJK1eukJSU9KwhC4IgCIIgCIIgCIIgCIIgCIIgCIIgCIJQX4yfYvmLeuZOF5cvX6a4uBio2HGibEeM0veSJBEWFsalS5dU62saIaN0n7L7X7t27VlDFgRBEARBEARBEARBEARBEARBEARBEAShvojpRaoWERGh0bECKu9sAerOFfn5+dy+fVvVCaOmETIq67hx8+bNZw1ZEARBEARBEARBEARBEARBEARBEARBEIT68j/Q6eKZQs/KyiItLU3VEQI0O1gYGRlhbm5Obm6ualtpJ4uyo1tIkoSlpSVeXl64urpiZWVFXl4eDx8+5OLFi6Snp1fooJGRkUFWVhYNGjTQxv9fEARBEARBEARBEARBEARBEARBEARB+C936tQphgwZQmpqKvb29voO539HbTtU/IU7XTzTSBePHz9WvS7bgcLc3JxJkybxySef8NFHHzFnzhzc3d01Ok2U7ZzRoEED3nzzTQYPHkzz5s1p1KgRLi4ueHl5MWvWLBwcHDT+tlRiYuKz/n9r1KAB+Pub8+BBA3JybDh/3gpPT83D1KGDEb/9Zklamg1ZWTb88Yc1LVooqvjEpzNokIIDB4yJjTVBkkwZN67i5y5dakRcnAk5OSYcPWqMm1vFz3nhBQUXLxqTk2NCSooJv/6qu0lwXFxs+OGHsSQnzyUn5yPCwt7Ew8NZZ99X6rPPXJGk4RpLREQ/ABo2NGH9enciI/uRkzOE6OiBrFvXHltb3R2HWbPaEBo6jPT0MaSnjyE42JtRoxxV211drdm3z4vHj18kPX0Mu3f3wcHBXGfxALi4mPHDD+1ITu5DTo4XYWE98PDQ7LC0dGlL4uJ6k5PjxdGjnXFzs9BJLLNmtSU0dCTp6RNJT59IcPAwRo1yUm13dLRgx46+xMePJStrEleuPMfEic11Ektl5s93Q5LG4O/fWbXu5Ml+SNIYjWXTpq46+f4FC7ryxx+jych4hcTEqfz661Dat7fV2MfR0ZIdOwYRHz+VrKxXuHJlDBMnttJJPLNmuRMaOpb09Gmkp08jOPgFRo1qptpubm7M11/3JTn5b2RmvsIvv/jg4KC9c2fQADjwC8TeAykHxo3R3P7ZQoj4E7KSICUWjv4OfXpr7vPbzxB9C3JTIC4KdvwbnLWQNOn72JT32WetkSQfjSUioo/GPl5ethw/3p2srEGkpw/k9OkeWFg882BXGgZ5wIENEHsMpDAYN6TiPh3awG/rIe08ZIXAHzuhhVPF/QAO/6vqz3kWRkbw+ee2REU5kZPTjLt3nVi0yEZjH2trBRs22BMTI+9z86Yjb79tXefvXtAJ/hgJGS9B4kT4dRC01/xqHC1gRz+InwBZU+DKKJjYQnOfTzrD+RGQPQVSJ9c5rCrpOx0s5eJiyg8/tCU5uRc5Ob0JC+uKh4f69/jss2ZERHQjK8uTlBQPjh7tQJ8+df+9QDvlsPv35b8tu8yfX/frzfDyiXaEhr5AevoU0tOnEBz8HKNGuQDQsKEZ69d7Ehk5hpycqURHj2fdOg9sbU11EoscT/Vp85tvtufkyVGkp09DknyxszPTWSwACxZ0548/xpGR8RqJia/w66/Dad/eTrW9VasGSNIblS6TJ7fRejyffdYCSRqgsURE9FRtd3W1YN++Djx+3If09L7s3u2Og4Pufq+yKkt7yjp8uC+SNIZx46rIOLTA0M6fQYOaceDAOGJj30KSPmDcuLYV9unQoRG//TaOtLTZZGW9xx9/TKNFC5tKPq3uaqojW1vDhg0WxMTI22/etObtt7Vz/izwgj9eg4w5kPgu/DoB2jfS3OfkyyDN11w2Pafe3sgCAl6C2Hcg70N46AcbhoONFn7G6tJCgG++6cPdu2PJyZnK48eT2L9/MO7uttV8Yt3cv98aSWpXYfn666YAuLqasm+fM48ftyE93ZXdu51wcNBdHXnBgp788cckMjJmkpjoy6+/jqJ9e3uNfb75ZjB3704jJ+dNHj/2Zf/+Ubi721f6eU9r0CA4cABiY0GSYNw4ze0TJsCRI5CcLG/v3r3iZ7z5Jpw8Cenp8j52dhX3eVY15RUAJ0++WCGf2LRpgPaCKEPf9YqnjefkyR4Vtm/a1F4nsUBpGbU1ycndyMnpQVhYRzw8rFTbHRxM+P77VsTGdiE7uwcBAW1xc9NNm091x6ZVK4sK20qXyZOb6iQe0G8Zvibz57dHkibi799Ntc7c3Iivv+5OcvKLZGaO5Zdf+mqtjU4baY+5OXz9tbxPZib88gs4ODx9LAt6wR+TIeMNSPSFX0dBuWQYAC9HOD4Wst6E9Dfg9HiwKJM9/PY8RP8dct+CuOmwYxg4W1X8nGdRU1568uRwJOkVjWXTpj7VfKL21Pe5U3M89VtnH9QbDmyG2HMg3YFxwzW3f79aXl92CfhOc592rWH/JkgKgfQ/4ewu8OmrlfDkGGsoN3///Ugk6QONJSBgovYCqEZl58+bb7bm5MlBpKePQZImYmenuzpXbdoQXF1t2LdvCI8f/4309Gns3u2tszZMuX3OnqioZuTktOTu3WYsWqRZ7pkwwYojRxxJTm6BJLWme3fd1bsMrX3X0OoV+vLNN99gY2NDUVGRal1WVhampqb4+Pho7Hvq1CkUCgX37t2r5yiFZyUZgWRci0U31Yt68Uyhp6ena7wv7RgxYsQIunTpgrGxXCqzs7PjpZdeomHDhpXu7+3tXWFbKQsLC0aOHFnptoyMjGcJu1b+/W9LRoww4e9/z6Vr1yyCgoo5dswaFxe50d3VVcG5c1ZERpbg45NNt25ZLFuWT16edr7f2hpCQyVmzy6udPtHHxnx/vtGzJpVTN++RWRnw5EjJpiXKdtNnKjghx+M+f57ie7dixgwoIidO0u0E2A59vYWnD//GoWFJTz//G46ddrMhx8eIzU1VyffV96NG1k4OZ1RLQMHXgbAxcUcFxdz5s27Q5cuF/H1vcmoUY357rtOOovl0aNcFiy4gYfHCTw9T3LiRBK//daPTp1ssLIyJihoAJIkMXToWQYMOI2ZmREHD/ZDoZ3+OhXY2xtz/nxXCgslnn8+nE6d/uTDDx+QmqrOsD76qBnvv+/MrFn36Ns3jOzsYo4c6Yy5ufaDko9PGB4eQXh6BnHixGN++20gnTrJhYMdO/ri7m7D2LHn6No1kH37HrFnTz969LDXeizleXra8fbbrQgNTa+wbcuWaJycglTLRx9F6CQGb28nNm6MxMvrECNGBGFqqiAo6DmsrNTd+nbsGIi7uy1jxx6na9ff2Lcvmj17vOnRo1E1n/xsHj3KZsGCK3h4HMTT83dOnIjnt9+G0qmTPQD+/r0ZM6YFL710Cm/vQFxcrNi3T0t3yVGmhddh9tzKt9++A+9+AF17w8Dh8OAhBB2AJk3U+5w8DVNeBffuMOllaOsKv/xU99j0fWwqc+NGNk5Owapl4MA/Vdu8vGwJDOxGUFAqffpcoXfvK3z9dSwlJZJWvtvaEkJvwewVlW93bQ7ntkPkffCZCd0mwbItkFdQcd85r8qNTto0f74Nfn7WvPtuGh07JjB/fjoffWTDe++pO6B99ZUdo0ZZ8OqrqXTsmMDatVl8/bU9Y8bUrTLl7QAbb4NXEIw4AaZGEDQUrMo0Xu3oB+62MPYMdD0E+2JgzwDoUaZ4ZGYEPz+ETXfqFE61DCEdhNK8q7My77pFp05hfPjhQ4286/btPN599wFdu15n4MBwHjzIJyioA02a1L0btDbKYQCLFxfj5FSoWjZsqHs5zPDyiRwWLLiGh0cAnp4BnDiRyG+/DaZTJztcXCxxcbFk3ryrdOlyCF/fC4wa5cJ333lpPQ51PNWnzVZWJgQGxrJixXWdxVCW/HuF4+V1gBEjAjA1NSIoaJTq94qJycbJ6SeN5dNPr5CZWUBAQIxOYpLzij9Uy8CB8rGwsjIiKKgTkgRDh95gwIDrmJkpOHiwo87KqaWqS3sA5sxxVY2sqEuGdv5YW5sSGprE7NknKt3u6mrHuXNTiYxMwcdnD9267WDZsovk5RVVun9d1VRH/uorC0aNMuHVV3Pp2DGLtWsL+PprC8aMqXu67N0CNl4Frx9hxG4wNYagKWBVrn16yzVw+lq9fHRKva1Egt/uwNh90P5b8D0Mw1vDN5U3NzyV6tJCgCtXUpgx4yIdO/7OyJEnUCgUBAUNxchINxdX794xODlFqZbhwx8B8PPPWVhZKQgKclFe67EMGPBIea276Oxa9/Z2YePGG3h57WPEiIPKtHC0Rt515UoSM2acpGPH/zBy5O/KYzRaK8dIztdh9uyqt587B/PnV/0ZVlYQGAgrqijr1kVNeUWpLVsiNfKLjz76Q/vBKOmzXvG08QBs2RKnsf2jj3TT6C6XUdsry6h36dQpnA8/fKRRRt2/3xVXVzPGjYuiZ88IoqMLOHbMDSsr3bQaV3VsYmLyNNY7OQXz6af3ycwsIiAgRSex6LsMXx1Pz4a8/XYbQkPTNNb7+3djzBhnXnrpD7y9z+DiYsG+fdopq2oj7fH3hzFj4KWXwNsbXFxg376nj8XbBTZeB6+9MOKgMh8dA2WTGS9HCBwNQTHQ5xfo/Qt8fV3OP0udjIUpQeC+EyYdgbZ28Muop4+nMjXlpQBbttzByWmvavnoo6va+fJq6OPcqT6e+q+zW1tCaCTMXlr1PgGnwamfenm5XDve71vAxASGvgYe4+XP+30LODap9OOePsYays0AAQH3cXL6RrW8/PIh7Xx5Nao6f6ysjAkMTGTFils6j6GmNgQrKxOCgkYoy4aBDBhwGDMzYw4eHKaTsuH8+Xb4+dnw7rspdOwYx/z5qXz0kR3vvafuOG5treDcuTzmz0/VfgDlGFr7rqHVK/RlyJAhZGVlcfnyZdW6s2fP4uTkREhICHllbsSePHmSli1b0rZtxYcUBMNUbFL75a/qmULPz8+vdH33SrrmGhsb06VLF86ePVthxIr27avvgd6mTRtMTU01ejUBFBRUcqdGCywsYNIkE8aNy+XsWbmxfenSfMaMMcHPz4zFi/NZvtyCw4eLmD9ffQyiorTXuBUYKBEYWHWFdc4cI774ooQDB+R9XnutmMREE8aPV7B7t4SxMaxbZ8w//1nM1q3qz4mI0E0leP78fsTEZPD667+r1j14UHmjqS4UFUkkJlY8H27ezGby5DDV+6ioXBYuvMePP3bB2FhBcbH2j8fvvydovF+0KBw/P1e8vBrRrJklrVtb07PnCTIz5fNl+vTLpKaOYejQphw/nqT1eObPb05MTD6vv35Xte7BA81rd84cF774IoYDB+SK92uv3SExsQ/jxzdm9+5krcbz++9xGu8XLbqOn19bvLwaEx6eQf/+jfHzu8KlS3Isy5eHM3duezw8GnHtWppWYynL2tqYn37qxZtvhrJoUbsK23NyiklMrDzN06bnnz+q8d7X9xxJSS/j4dGYs2fl0X3693fAz+8Cly7Jv83y5WHMndsJD4/GXLum3caT339/pPF+0aI/8fPrgJdXUx49ymbmzHZMm3aGkyfl837GjPNERk6gb9+mhITU/XwODJKXquzao/n+g/nwhi906wInTsnr1n6t3v4wBlb9H+zfLVf2iuqQbOv72FSmqrQQwN/fjfXrH7F69UPVutu3tdcxLvCcvFRl+Xtw+CzM91evi3pUcb/u7vDhdPD8GySc1Fp49O9vxm+/5XH4sFwoj47O5eWXLenTx7TMPuZs357N6dPytf7tt9m8/bY1ffqYcfDgs/eqfP6U5nvfi5A0CTwawVnlqdC/CfhdgktP5PfLb8LcDvI+15R1zCXKe3zTtf/wO2A46SDA/PkuyrwrSrWufN61a9cTjfcffPCQN95woFs3K06cqFvH3LqWw0plZoK2B2YzvHwiVuP9okWh+Pm1w8urCVu33mPy5LOqbVFRWSxcGMqPP/bXYTms6rQ5PDyNdevCAbnhqT48//wRjfe+vmdISnoVD48mnD2bQEmJRGKiZlo8YUIr9uy5T3a2bm6cy3lFYYX1AwbY0rq1BT17hpKZKdeBpk+/Q2pqX4YOteP4cd2U7WtKe7p3t+XDD13x9DxLQsJzlXyC9hja+RMY+IDAwAdVbl++fACHD99n/vyy15lufqfa1JH79zdm+/YCTp+Wt3/7bSFvv21Gnz7GHDxYt/P5+Z813/segqT3wcMRzpb52XKKIDG78s9Iy4dvrqnfP8yAf/0J/9TCQ7LVpYXh4el8+626LhYdnc2iRaGEhb1I69bWREVl1T2AcpKTNTsNLlhgzd27BZw+ncuIEVa0bm1Kz54xZGbKnQGnT08kNdWVoUMtOX5c+w9OPP+85k0NX98TJCXNwMOjKWfPxgPw7bfqG0PR0ZksWhRCWNhUWre2ISqqrvm6vFTlxx/lf1tVMyjUunXyv97edQqlUjXlFaVycooq5Bm6os96xdPGA5CTU1Ltdm2ZP9+RmJhCXn89WrXuwQP197ZrZ06/fg3o3Dmc8HC5/uDnF0NCQldefrkh3333pMJn1lVVx6akhArrJ0xowp49SWRnV96xuK70XYavilzW8OTNN6+yaFEH1XpbWxNmzmzNtGl/cPKkXDGbMeMKkZHP0bdvQ0JC6nazr65pj60tzJwJ06bJI+3I8UFkJPTtCyEhtY/l+d813/seh6TXwaMpKJNh/AfA+uuwukyfpttpmn+3Vt3EysMsWHUV9j8PJkZQVMf+5TXlpVBaJ9XSE4+1oK9zp/p46r/OHnhGXqqTXwCJVTQhN24I7dvAzE/gurKPwYL/B7NfhS7tq/67p4qxhnIzQH5+MYmJOXX/slqq6vwBWLdO7hzo7a2lXifVqKkNYcAAB1q3bkDPngfJzJTridOnnyU1dRpDhzpz/Hi8VuPp39+c337L4fBhuewQHV3Eyy/n0qePOZAJwI8/ygX6Vq10f8fV0Np3Da1eoS/u7u44Oztz6tQpvLzkDm2nTp1i3LhxnDhxgosXL6pGvCidIqSkpITVq1ezZcsWEhISaN++PYsXL2byZPVwwYcPH2bOnDnExMTg5eXF9OnT9fHf+59X2w4Vf+VOF8/U3bqwsGJjXYMGDVQjXJRX1Zw4DRo0qHR9KYVCgbV1xaHmdNXpwsQETEwU5OVpNgTn5koMHGiMQgEvvmjC7dslBAZakZjYgIsXrRk3rn7OgDZtwNlZwbFj6tJsRgaEhEj06yd3aOnVS0Hz5gpKSuDqVRPi4kw4fNiYzpWP1ltnY8e24/LlePbsmUhi4hyuXp3JG2/00M2XVaJdOytiYwdx715/fvyxMy1aVD2cm52dCRkZRTpp6C/PyAimTm2OtbUxFy6kYG5uhCRJ5Oerf7u8vBJKSiQGDtRNIWvs2EZcvpzNnj3uJCb25urV7rzxhnq6kzZtzHF2NuPYMXUDbUZGMSEhmfTrp5uhiUsZGSmYOrUF1tYmXLggV7yDg58wdWpLGjY0Q6GAqVNbYGFhzKlTj2v4tLrZuLErhw495vjxykv6r7zSjKSkkVy/7s2KFR2wtNTd8LtllQ5bnZKirjQFBz9m6tQ2ZY5RG+UxSqjqY7RC/r3aKH+vx3h4NMbMzJhjx9SF71u30omOzqJfP90NV1oVU1N463VIS5NHx6hMw4bwylQIvli3DhflGcqxadfOktjYfty715cff+yoSgubNjXFy8uWx48LOX++JwkJ/Tl1qgcDBmhxXORqKBTw4mC4HQ2BmyDxFFz8qeLUIZYWsHMVzF4OiVpujwwOLmDYMHPatZPz6m7dTBk40JyAgLwy++QzdqwlLi5yscjHx5z27U0ICtJuo07pqJEpZYoxwckwtRU0NAMF8msLYzilu5nUKjCkdHDs2IbKvMuNxMReXL3ahTfeqPraMTVV8NZbTUlLKyI0VLeNKLUph5VasMCI5GQTrl41Yd48I6ooIteJ4eUTrZRpYeWND3Z2pmRkFNZTOUwzbTYElf1eZfXq1ZiePZvw3Xe6e+JJzit6c++eBz/+2J4WLeSYzM0VSBKVlFNh4EDdDVdaXdpjaWnMzp29mD37er11+ipliOdPWXKd1JXbt1MJDJxIYuIsLl58udIpSLShpjoyQHBwMWPHmqpGvvDxMaZ9eyOCgrTfgchOWd1LKZdFv9IJkt6D66/DisFgWU0V3bkBTGwPp7U8qExNaaGVlTEzZrgSFZVJTIzuG/5NTeHVV23ZulW+mam+1tW/ZV6epLzWLXUeD9ScFlpZmTBjRgeiojKIifnvaTyuraqOzyuvtCUp6VWuX5/IihWeOi2LGVq9oqp4Sr3yigNJSQO4fr03K1a0wdJSN6NKjB1rpyyjtiExsStXr3bgjTcaq7aXjhaal6fOS0uvt4EDq2/7fFY1HZtSvXo1oGdPG777Trs3z8oy1DL8xo09OHQoocKDTh4eDTEzM+LYMfX6W7eyiI7OoV+/xuU/pt55eICZGRw7pl536xZER0O/fnX77NIZ0kqTmaaW4OUEj3Ph/ERI8IVT42BANf1MG5rDK+0hOKHuHS7KqyovfeWV1iQlTeL69RdZsaKHztvmDO3cMaQ6e3k+fSHxIkQegX8thUb26m1PUiHyHrw2HqwswdgY3v6b3Nniyo16CxEfn+YkJs4iMtKXf/1rGI0a6W6KCKj6/NG38uUM+X6F3CmlVF5esfJ+hWOln1EXwcH5DBtmWa59zoKAgPrpWFodQ2nf1YzHcOoV9W3IkCGcPKl+Iu/kyZP4+Pjg7e2tWp+bm0tISAhDhgxh5cqV7Nixg2+++YabN28yd+5cXn31VU6fPg1ATEwMEydOZMyYMVy7do033niDBQsW6OX/9r+uyFhBkbFRLZa/7gguz9RboLLOFVWNfgHyBVCZgoICLCyqz+Qq62BRVeeOusrKguDgIhYvNiciIpfERImXXzalXz9j7t4twcFBgY2NggULzFm0KJ/584sYNcqEffssGTIkhzNndNNjvJSTk3yilX9yMjFRvc3VVV63ZIkxH3xQzIMHEh9+aMypUya0b19EqpY73Lq6NsTPz4OvvgphxYrz9O7twvr1z1FQUMyOHbodfjckJB1f35vcupWDs7MZn33mytmznnTpcpGsLM3fonFjUxYvbsOWLbFVfJp2dOliy4ULPlhYGJGVVcSECReJiMgkKSmf7OxiVq/uwief3EShgFWrumBiYoSzs24Keq6uFvj5OfHVV7GsWPGI3r0bsH59GwoKStixIwknJ7mgVf4JiMTEQtU2bevSxY4LF4ZhYWGsPD7niYiQGwGnTAlm9+5+pKRMoLCwhJycIiZMOMe9e7prbJs61YVevezo3ftspdt37owlOjqXuLg8unWzZfXqjri7N2DSpMuV7q8tCgWsXduHc+cSuXkzTbV+ypTT7N7tTUrKtDLH6CT37mXqJI4uXey5cOHFMr/XCSIi0unRoxH5+cWkp5c/d3JxcqqfBluAF5+H/2yXh/yNT4ARY+BJuRv2q5bBu7Pk4TsvhMDoSdr5bkM6NiEhGfj6RpZJC1tz9mxPunS5hKur/J1LlrRm3rx7XLuWxWuvOXL8eHe6dLnE3bu6rdg4NAIba1gwExZtgPlrYdQA2OcPQ2bCmSvyfv7/hOBQOHBK+zGsWpWJra2CyEhHiovlSv7ChRns3Kn+v7/3XhpbtjQkNtaFwkL55sObb6Zy9qz2OnkqgLUecO4x3CzzMPKUc7B7IKRMhsIS+UndCWdAh0mfBkNLB11dzfHzc+Srr+JZsSKO3r2tWb++NQUFEjt2qBuYXnzRnv/8Rx6uOT6+kBEjInnyRDejA5SqTTkMYP36Eq5elUhJkejf34iVK41wdoYPP9Rei6Rh5RPPlUkLz6jy9bIaNzZn8eKubNlyt5JP0XY8FdNmfZN/Ly/OnUvg5s3KC+MzZ7oTHp6qs5v8ISGZ+Pre4datXGVe0YKzZ7vSpcs1Ll7MVJZTW/PJJ9HKcmorTEwUODvrpkxYU9rj79+Z4OAUDhyovx5ohnr+lOfgYIWNjRkLFvRh0aLzzJ9/llGjWrNv31iGDPmZM2cqGU6qDmqqIwO8914eW7ZYEBtrUyYfzVONjKEtCmDtMDj3CG6WueewMxyiMyAuE7o5wGofcG8Ek/Zr/v3OMTCunTw1yYE78EaAduKqKS3082vHl1/2pEEDUyIj0xkx4gSFhbqZ/rOs8eMbYG9vxLZtciwXL+aRnV3C6tWN+eSTJ8prvYnyWtf9gyRyWjiAc+fiuXlTc/QlP7/OfPllP+UxSmXEiIP1cowMSVV5xc6dd4mOziIuLodu3RqxenUf3N3tmTTpWDWf9mwMrV5RXTxZWcXs3JlIdHQecXEFdOtmzerVbXF3t2LSpJtaj0Uuozblq68es2JFAr17W7F+fQtlGTWFyMg8oqPzWbmyGW+//ZDs7BLmznWgRQsznJ1Na/6Cp1TTsSlr5kxnwsOzuXBBd1M1G2IZfurU5vTqZU/v3hWHUXRyMlfW2zUfKkxMzMPJqeqHueqLkxPk50O52b2V9Y5n/1wFsHYgnIuH0mTYVdm/dklvmBcM15LhNXc4Pg66/AfulolhlRe82xWsTeFCAozW4gwN1eWlO3c+IDo6m7i4XLp1s2f16p64u9swaVLl5ci6MrRzx9Dq7GUFnoF9R+D+I2jbElZ8CAH/hn5T5FF3AIb7wv5/QeY1ed3jJzBqJqTpLknSjDHwAfv23eH+/QzatrVjxYqBBARMpF+/XTqZHqu680efKmtDuHgxiezsIlav9uSTT66gUChYtcpDeb9C+22Yq1alY2trRGRkszLtc2ns3FnFcHX1wJDad9XxGF69or4NGTKEOXPmUFRURG5uLn/++Sfe3t4UFhbyzTffAHDhwgXy8/Px8fGhU6dOHDt2jH7Knomurq6cO3eOzZs34+3tzaZNm2jbti3/93//B8ijaVy/fp3Vq1fr7f/4v6rYxIRik5o7VBSbSEDFwR/+Cp6pZm1mVrHxrbCwkKSkJJo2rdjTKy4ursI6gNjY2Grn20lNTSUnJ6fCtCTm5SfO1qK//z2XrVstiYuzoahI4urVEnbtKsTDwxgjZYf5334rYu1aOcENDS2gf39jZs0y48wZQ+iVJ/+7fHkx+/bJBYcZM4p59MiEl14yYssW7SbCRkYKLl+OZ+HCUwBcu5ZIly5NmTWrl847XQQGqu+uXr8uVzqjowcyZYojW7eqzzkbG2MOHepBeHg2S5ZEVfZRWnPrViY9ehzHzs6UyZObsX27J97eZ4iIyOSll0LYtKkH77/flpISiV27HnHlSqrO5j81MoLLl7NYuFAe+vPatWy6dLFi1iwnduzQT09b+fgEKY9Pc7Zv74O390kiIjJYtqwr9vZmDBt2kuTkAsaPb8aePf0ZNOgEN25ov8G7eXML1q3rwogRFzSe7Czr22/Vw6beuJFJfHweJ070x9XViqgoXT6N4UWXLg0ZOPCwxvply3oqj9ERkpPzGD++JXv2+DBo0GFu3EjTehy3bmXQo8cB7OzMmDy5Fdu3D8LbW0ut01pw8jT08IImjeHN12HPD9DXG5LKnN5r1sJ326FVS/jsE9jxbxg9se7fbUjHJjBQ3Wh9/Xo2ISGZREd7MWVKUyIi5PN08+Y4tm2Tn3S/di2LYcMa8vrrTnzyyX2dxqbKN0/CWuUQqqG3oH8PmDVF7nQxxgeG9oGeU3QTw5QplrzyihXTpqVw82YhPXqYsXatHXFxxezYIR+f995rgJeXGWPGJBMdXczgwWZs3GhPXFwxx49r5wnrjb2hix0M1BzdkWXdwN4Uhh2H5HwY3xz2DIRBR0EHSZ8GQ0wH5bwrm4UL5ZuG167lKPMuB40G25MnM+jR4zpNmpjy5ptN2bPHjb59b5KUpNuOF7Xh768+ltevl1BQILF5szEff1yCtgZrM6x84rAyLWzJ9u398PY+qtEoYGNjwqFDPoSHp7NkSVg1n6ateCqmzfq+cb5x4wDl73Ww0u0WFsZMm9aWZcuu6SyGwMA01evr13OUeYUnU6Y0ZuvWx7z00i02bXLl/fedKSmBXbuSuHIlSyfl1JrSnjFjHBk6tDE9e9YwlrGWGer5U17pnL2//XaPtWvl+cxDQ5Po39+FWbO6ab3TBVRfRwZ47z0zvLyMGTMmh+joEgYPNmbjRgvi4ko4flx7HS82PgddmsLAnzTXfxuqfn0jGeKz4MTL4GoPUWnqbXNPwNLz0L4RrPSGr4bC7HL58rOoKS386acHHD2agLOzJfPmdWTPnoEMGBBUZd6rLTNn2hIQkE18vPwbJCcX89JLCWza1JT337dXXuuZXLmSp7M6aVkbNw6mS5dGDBy4v8K2n366w9Gjj3B2tmLevB7s2fMcAwb8qvHk5X+7qvKKb79Vj4B040Yq8fE5nDjxIq6uNkRFabdTpaHVK6qLZ+vWBL79Vv306Y0b2cTHF3DiRA9cXS2IitLuiHVyGTWHhQvltqZr13Lp0sWSWbOasGNHCkVFMHFiFN9914rU1O4UFUkcO5bB4cPpKGpuV35qNR2bUhYWRkyb5siyZQ+0H0QZhlaGb97cknXrujFixDmdp7V/JRsHQ5dGMPBX9TplsYLNN2FbpPz6WjIMaw6vd4RPLqr3XXMNvouAVjbwWW/YMVx7HS+qy0vLDql/40Ya8fG5nDgxHFfXBlofUt/Qzh1DrLOXtbvM73/jNoTdgqgT8ugXJy7I6zd+Jne0GPQy5ObBG1Pg4GboPRES6qF5evfusvloMmFhyURFzcTHpzknTmh32DNDO3/KqqwNITk5n5deOsWmTV68/35H5f2K+1y5kqyTsuGUKda88oo106Ylc/NmgbJ9rhFxcUXs2KGfjheG1L6rjsfw6hX1zcfHh+zsbC5dukRqairt27enadOmeHt7M2PGDPLy8jh16hSurq5kZWWRk5PDiBEjND6joKCAnj17AhAREUHfvn01tver69BRwjMpNjamuBajWBQb/491urC0rLw319GjR3n55Zc1Okk8evSIiIiICh0nAM6dO4erq2ul2wDOnq28B2dV368NUVESPj45WFmBra2ChASJ//zHkqioEpKTJQoLJcLDNSv+ERElqqFVdSkhQc7sHB0hocwo0Y6OcO2avC1eWecMD1dvLyiQ/18tW2o/pvj4LMLDNYc2i4hIZtKkDlX8he6kpxdx+3Y2bm7q86NBA2MCA3uSmVnEhAlhFBXptjGpsFDi3j25kHD1ahq9ezfkH/9wY9asPzl69DFubkE0bmxGUZFEenoh8fEvEBWl/YZRgPj4AsLDNTsCRUTkMmmSPNxdQoJ858fR0YyEBHUC5uhoyrVruinoFBaWqEauuHo1ld69G/GPf7Tnyy8jeO+9dnTuHEB4uFyICAtLY9CgJsye7Yaf3xWtx+LhYY+jozlXrw5WrTMxMWLw4Ma8+25rzM0PqXpllwoJSQPAzc1aZxWXDRv6Mnp0CwYPDiA2Vv0drq42vPdeRzp33k94uBxHWFgqgwY5Mnt2R/z8Lmg9Fvn3khvyrl59Qu/eTfjHPzqxe/d9zM2NsbMz0+jx6+hoSUJC/XU+y8mBe1HyEnIJbofBzOmw6v+p93nyRF7u3IWIW/DoDnj1gYt/1O27DfnYyGlhDm5ulpw4kQZAeLjm+RoRkUPLlrodThEgORUKCyH8nub6iCgYKJd7GdoH2raAtPOa++z9Cs5elUfEqIs1a+xYtSqT3bvl43/jRhGtWhnz8cc27NiRg4UFrFhhx4QJTzh8WG6cvX5d7pwxb56NVjpdbPCE0S4w+BjEljkNXBvAe+7Q+RAop6olLA0GOcDs9uB3qc5fXS1DTAfj4wuryLsaaazLySnh3r187t3LJyQki9u3uzNzpgOrVlXe0VcbalMOq0xIiISpqYLWreH27brHYXj5RGm+nqLM1zswa5acyDZoYEJg4FAyMwuZMOF0PZTDKk+bZ83S/v+9tjZs6Kf8vX7X+L3Kmjy5DVZWJuzYcafe4kpPL+b27VxVufno0TTc3K7SuLGJspxaTHx8b6KitD+1R01pz6ZN0bRta01a2iiNv9u715OzZ58wZIhufk9DPH8qk5ycS2FhMeHhmsN7RUSkMHCgi06+s7o6spyPmjNhQi6HD8s3za5fL6FHD2PmzTPn+HHt5BUbhsPotjB4J8TWcJ85RFkndmuo2ekiMVtebqVASi6cexWWBUNCHas+NaWFGRmFZGQUcvduJhcvJpOa+hITJrTgP/+JrtsXV6NlSxOGD7di4kTN6QSOHs3BzS2axo2NKCqC9PQS4uPbEBWl2watDRsGMnp0KwYP3k9sbMUDnpFRQEZGAXfvpnPxYiKpqa8zYUIb/vMf3Y6QZChqk1eUKp1D3M3NVuudLsozpHpF+XgqExIityW4uVlqvdOFXEbV/MyIiDwmTbJXvb96NZeePSOxtTXCzMyI5OQiLl505/Jl3Q/7XdWxmTy5KVZWRuzYoduRowytDC+XNSy4enWoap1c1mjCu++6MnLkeWW93VRjxAJHRwsSEup3WrPKJCSAuTnY2WmOdlG+HvI0NgyC0a1h8K9QNhmOV74OLzcYW0QqtCw3M86TPHm5ky5vfzQdvBzhohZOr5ry0rJCQuR2aDc3G613ujC0c8cQ6+zVuR8DSSng1krudDG0H4weAg09IVP5U81eAiMGwPQJsHpLvYYnx3g/naSkHNzc7LXe6aKm88fcfH+F36s+VNWGAHD0aBxubvto3NhcWQ8sID5+KlFR2u9MuWZNQ1atSmf3bjnhuXGjkFatTPj4Y3u9dbowtPZdQ6xX6IObmxvNmzfn5MmTpKam4u3tDYCLiwstWrQgODiYkydPMnToULKy5ON16NAhmjVrpvE5unx4X3g2JRhTTM2dLkrQ/UMBuvJMnS7KjmYhSRIKhQJJkrh79y7//ve/6dy5MxYWFiQkJHDt2jWNfRQKhep1dHQ0e/bsYdSoUdjZqeeBzM3N5eTJk/z5558af1fKwcGhDv/l2snJgZwcCXt7GDnShI8+yqOwEC5dKsbdXXOOyPbtjYiO1v1JcP8+xMdLDBtmRGionEPb2EDfvgo2bZLfX7kikZcn4e4O55U3sExMoHVrBdHR2s/Vz5+Pwd1dsxLVvn0joqPr/4kwa2tj2ra14ocf5BqIjY0xR470JD9fYuzYUL30+DMykudHK+vJEzmjHjKkKQ4O5hw4oJt5Nc+fz8TdXbPxo317S6Kj5UrA/fv5xMcXMGyYHaGhcsHGxsaYvn1t2LRJt3O/lzIyUmBuboSVlZwUle9FW1wsqZ7m07bjx5Po0uWUxrrvv+9BZGQWq1ffrbQQ3KOHPO5ifLx2G3BKbdjQlwkTWuLjE8iDB5oVRysruWNX5cdIJ+FUIP9exly58oSCgmKGDXNm3z65UNe+vS2tWjWodJ65+iJfb9VsV55KuihvGdKxkdNCS374IZEHD/KIjc3H3V2z8a19e0sCAlKq+ATtKSyCSzfBvbXm+vatIFqZ9K36Dv69T3P7jX0wdw0cPF33GKysFBWu5+Ji9SgcpqYKzMwq20c719YGT5jQHHyOw4NydUjlZU35BwiKJfX5qkuGmA5WnndZqPKuqsjXv24PWm3KYZXp0UNBcbHEYy3MGvHXyCfkL7OxMeHIkaHk55cwduxpPZXD5LRZXzZs6MeECa3x8TlU4fcqa+ZMdw4ceEhysm6uq8pYWxvRtq0FP/ygmTeVDvE9ZIgdDg6mHDig/byiprQnObmAzZs1G41u3PBh7tybHDxYP2VU0P/5U5XCwhIuXUrE3b2hxvr27RsSHa3bG7CV1ZFNTakiH0Vrac+G4TChPfjsgge1qGb2UDYXxFdzH0ZVLtTBT1w2LSxPoZAXXZ9bM2bY8vhxMYcOVd6A/eSJ/IMNGWKJg4MxBw7orqF7w4aBTJjQBh+fAzx4UPM5Wl/HyFDUNq8o1aOH/BBFfLzuO3QbUr2ifDyV6dFDvkMcH6+9KQJLnT+fXUkZ1Zzo6IrflZFRApTg5maOp6cVixfrrlNwqaqOzcyZzhw48ITkZN12rDK0Mrxc1tCcguf77z2IjMxk9erbxMTkUFBQwrBhTdm3L04ZbwNatbLiwoUnlX1kvbpyRX6Abtgw2KesK7dvD61awYVn6Au6YRBMaAM+v0H5ZPhBJsRmgbu95vr2dhDwkCrpMh+F6vPSHj3kdmhdpIOGdu4YYp29Os2coLE9xCvrvlbKLKN8nCUl2isnPq1mzRrQuLEl8fHaL/vUdP7oq8NFVW0IZT15IqfXQ4Y44eBgwYED2u2QAjW3zxkCQ2rfVcej33qFvgwZMoRTp06RmprKP//5T9X6wYMHExAQwB9//IGfnx+dOnXC3Nychw8fqjpnlNexY0cOHDigse7ixYuV7ivoVhHGFNWi00XR/1qni8aNG2NiYkJxcbGqUwTIHTDi4uKIj1ffRC7f4aL8ulu3bnHr1i0aN26MlZUV+fn5JCUlaXxm2Q4XJiYmNG7c+Jn/wzV57jljFAq4dasENzcj1qyxIDKymO+/lysoa9YUsHu3JWfOFHPyZBGjRpkwZowJPj7a6TlqbQ1ubur3bdoo6N5dIiUFYmJg7doSFi0y4s4difv3JZYtMyYuDvbvl49XZiZ8800JS5caExNTTHS0xD//KSe8P/+s/RPV3/8PgoOn8/HH/dmzJ4I+fVx4662evPXW4Zr/uI7WrGnHwYNJREfn4eJiztKlrhQXS+zalYCNjTFBQb2wsjLi1VfDsLU1wVY5T2FSUoFOCjkrVnQmICCBhw9zsbExYdq0Fvj4NGXkSLn3i69vKyIiMkhKKqBfv0asW9cNf/+73L6t3V7Zpfz94wgO7srHHzdnz55k+vRpwFtvOfLWW+pHzteujWPRohbcuZPH/ft5LFvWkri4Avbv135FYcWKrsrjk42NjSnTprXEx8eBkSNPExmZwZ07mWze7Mm8eaE8eZLP+PHNGTHCidGjdTNHY1ZWMTdvatY2s7OLePKkgJs3M3F1tWLatGYcPvyYJ08K6NbNFn//zpw+/YTr17XfoL1xoxfTprkybtxxMjOLcHSUaybp6QXk5RUTGZnOnTsZbN7cj3nzLiuPUUtGjHBh9Gjtz+e7YkUvAgJilb+XCdOmueLj48TIkUFkZBTy3Xd3+Oqr3qSk5JORUciGDX0JDn6sevKqrqytwa3M7FNtWkH3bpCSAk9SYOF8OPA7xCdAkyYw+21o5gI/Kxsk+vSG3h5wLhhSU6GtKyz7FO7egwshdYtN38emvDVr2nLwYDLR0fm4uJixdGlrZVr4WLk9hqVLWxMams21a1lMn+5Ihw5WTJ6snbmOrS3BrcxISm2aQXd3SEmHmARYsw12r4EzV+HkHzBqAIzxBh/lCBaJT+SlvIfx8CC27vEdPJjHwoU2PHxYzM2bhfTsacoHHzRg61Y5387MlDh1Kp81a+zIzZWIji7C29uc116z5oMP0ur03Rs9YVprGHcGMgvBUdkOmV4IecUQmQF3MmFzH5j3JzxRTi8ywglGl+lw0sIKGplBS2swVkB3e3n93SzIrsNIvIaWDgL4+ycQHNyJjz92Yc+eJ8q8y4G33pKfsrCyMmLhQhcOHEgjPr6AJk1MmD3bkWbNzPj557o3+Ne1HOblpaBvXwUnT5aQmQn9+inw9zfmxx8l0tLqFpvh5RM9CAiIK5Ovt8bHx5GRI09gY2NCUNAwrKyMefXVM9jammJrK89nnpSUr5OhSqtLm0F+IsXJyRI3NxsAuna1JzOziIcPs0hN1f7NmY0b+zNtWlvGjTtKZmZhhd+rVNu2tgwe7MQLLxzRegxlrVnTmoMHU8rkFS0pLpanEQHw9XUgIiKHpKQi+vWzYd26Nvj7x3H7tvYbs2tKewASEyvepHn4MJcHD3Rzk9HQzh9ra1Pc3OxV79u0saN796akpOQRE5PJmjWX2b37Rc6cieXkyRhGjWrNmDGu+Pjs0XosUH0duagITp0qYs0ac2U+WoK3twmvvWbKBx/UvbF/4wiY1gnG7YPMAnC0lten50NekTyFyLROcPgePMmFbg7gPxROP4TryqLX867y312Kh6wC6NwE1gyBc48guo7ziVeXFrZp04CpU1sRFBRPUlIezZtbsWBBZ3Jzizl8WAuFnCooFHKni+3bMyguNzuHr68tEREFJCUV06+fBevWNcXfP43bt3VzQ3bjxkFMm9aOceMCyMwsqJAWtmljw9SpbgQFxSiPkTULFvRSHqNq7vbVUsV8Hbp3R5WvN2wILVuCi3KQGHd3+d+EBEhU3rt2dAQnJ/XndO0qt7s8fCjXM+qiprzC1dWGadPacvhwDE+e5NOtWyP8/b04fTqe69e139FB3/WKp4nH1dWCadMcOXz4CU+eFNGtmzX+/m6cPp3G9evav5Hm7/+Y4GB3Pv7YkT170ujTx4q33mrCW2+pz9PJk+1JSiri4cMCuna1ZN265uzfn8bRo9ovN9f0WwG0bWvJ4MF2vPCCbqf+Bf2X4cvLyiri5k3NBF5d1pDXf/fdA776qhspKQVkZBSxYUN3goOfEBJSxwubuqc9GRnw3Xfw1Vfy32RkwIYNEBwMIU/ZnrFxMExrB+MClPmo8iZ4eoFcJwV52pClvSE0WZ5aZHoH6NAQJiuLp30coLcDnIuH1HxoawfL+sDddLighf6w1eWlrq4NmDatNYcPxynTQXv8/T04fTqR69fT6v7l5ej73KkYj37r7NZW8qgVpdo0h+4dISVNbvP57D3Ye0SeJqRtS/jyI7gbDUfOyftf+BNS02H7l/D51/L0Im9OlT/n0Kk6hyfHWE25OSUlj88+68fevXdISMimbVs7vvxyMHfvpnHkiPZHBqjN+ePoaI6TkwVubnJHwa5dbZX1ihxSU7VbHqupDQHA19eNiIh0kpLy6NevKevW9cHf/ya3b9exkFyJgwdzWbjQjocPi5Ttc2Z88IEtW7eq7400bGhEy5YmuLjI97Pc3eXblwkJxSQmanfaOUNr3zXEeoU+DRkyhNmzZ1NYWKjRmcLb25t3332XgoIChgwZgo2NDfPmzWPu3LmUlJQwcOBA0tPTOX/+PLa2tkyfPp1Zs2bxf//3f/zzn//kjTfe4MqVK2zbtk1//7n/YcUYU0zNPa2KefobuLGxscyfP5+AgABycnJwc3Pj+++/x9PTE5D7Gnz22Wd8++23pKWlMWDAADZt2kS7du1Un5GSksJ7773HwYMHMTIyYtKkSaxbt44GDRpU9bUVPFOnC2NjY9zc3IiMjNToEFHakaK0w0TpurJsbW1JV46NVrbDRnJyssb78ttLO1+0bdu2yulItMHOTsHKlRY0b64gJUVi794iFi7Mo0h5U2P//iJmzcrj44/NWL/eglu3Spg0KZfz57WT6Ht6Kjh1Sv2z+PsbA8Zs21bCjBnFfPllCdbWsGWLMfb2cO6cxKhRReSXaZf85z9LKCqCH34wxtJSHtZ66NCiOjf2V+by5XgmTPiFlSuH8Omng7h/P405c46yc6duKt1lNW9uzq5dXWnc2JSkpALOnUvDy+sSycmFeHs3xMtLHj3l3r0BGn/XuvU5oqO139vXwcGcHTs8cXa2ID29kLCwDEaOPM+xY3Kl1929AStXdqZRIzMePMhm+fJb+PvrbrjUy5ezmDAhkpUrW/Hppy24fz+POXPus3OnumDw5ZexWFsbs2VLW+ztTTh3LoNRo26Sn6/9myEODhbs2NG3zPFJY+TI0xw7JrdmvfDCGVat6sbBg4No0MCEu3ezmD49hIAA3YwEUpOCghKGD2/KnDmuWFsbExOTy9698XzxhW6G/n7nHXlKntOnn9dY7+t7ju3b71JUJPHCC0dZtcqDgweHKY9RJtOnnyUgQPuFK/n3GoSzsyXp6QWEhaUycmQQx47Jv8fcuZcoKZHYu3cI5uZGHDkSxzvvaK+HqGcvOFXm/pP/l/K/236AWe9Dh/YwfRc0aSx3wrh0BQaNgPAIeb+cHJg4FpYulBs84hMg8Ch8sVp+YqQu9H1sypPTwk7KtLCQc+fS8fK6qnqaad26R1hYGOHv35ZGjUwJDc1ixIgwrQ2569kZTm1Vv/f/SP53228wYzHsPwGzlsHHM2H9fLj1ACZ9AOf/1MrX1+i999JYtsyWf/3LHgcHY+Liitm8OZvPP1dXIP/2tyesXGnHTz81olEjI6Kji1i4MJ1vvqlbg+077eV/Tw/XXO97AbbfhyIJXjgFq7rDwcHQwBTuZsL0CxBQ5oG4z7uBr6v6/bUX5H99jsFpLYyeUJX6TgdBngt6woQ7rFzZgk8/bcb9+/nMmRPNzp1yz5ziYokOHSyZPr0pTZqY8ORJEZcuZTNoUHiFIY2fRV3LYfn5En/7mxFLlphgbi6PjuHvX8JXX9W9t6fh5RPm7NjRT5kWFirTwhMcO5aAt7cDXl5NALh3b5zG37VuvZ/oaO3fDKkpbZ41y50lS3qo9j97Vr6QSo+ftr3zTicATp8erbHe1/c027err6HXX2/Po0fZBAXpZrq5Us2bm7FrlzuNG5so84oMvLzCSE6WKznu7pasXNmKRo1MePAgn+XLH+Hvr/sncw2FoZ0/np6OnDo1RfXe398HgG3bbjJjxhH277/LrFnH+PjjPqxfP4Rbt1KYNOkg58/r5jerqY78t7/lsnKlOT/9ZEmjRvIIiwsX5vPNN3VvOH6nl/zv6Wma630PwfYbUFAMw1vBHE+wNoWYDNh7G74IVu+bWwRvdpc7Y5gbQ0wm7LsNq7RQPKsuLXR2tmTQoKbMmeNOw4ZmJCbmcebMY/r3P0JSku6Grx8+3IpWrUzZurViY7m7uykrVzamUSNjHjwoZPnyFPz903QWyzvvdAHg9OnxGut9fU+wffst8vKKGTTImTlzutGwoTmJibmcORNH//6/kpSkjXwdTp1Sv/f3l//dtg1mzICxY+XXpXbvlv9dsgSWLpVfz5olvy9VOguury9s3163+GrKK+SyWDPmzOmCtbUJMTHZ7N37gC++0E1BWt/1iqeJx8LCiOHDGzJnTnNlOTWPvXuT+OIL3QyvfflyDhMm3GPlymZ8+qkz9+8XMGfOI3buVN9kdXY25auvmuPoaEJ8fCE7dqSwbJluRmiq6bcCeP11Jx49yicoSPcjkei7DP8s5s4NU9bbvZT19kTeeeeaVj5bG2nP3LnyaAB798qjdR45Au+88/SxKJNhyiXD+B6H7bfk1+vCwMIY/AdCI3MIfQIjDkCUMhvJKYKJrrC0D1ibQHwOBD6EL4KgQAsPtVWXlzZvbsXw4U7MmdOhTDoYwxdf6L4zUVV0ee48LV3X2T27wKmf1O/9F8r/btsHfp9CN3d5mhB7G4h7DEHnYPFadbvbk1QYNROWfwAndoCpKdy8A+P8ICxSKyFWW2728ztOt25NmD69E/b25sTFZREUFM3ixcEUFGj3Bn5tzZrlypIlHVXvz56Vbyb7+l5m+/a6dzgtq6Y2BAB3dztWrvRQ3q/IYvnyMPz9wyt8lja8994Tli1ryL/+1RgHByNl+1wmn3+eptpn7Fgrtm1ronq/e7c8hN2SJWksXZqGNhla+64h1iv0aciQIeTm5tKhQwccHR1V6729vcnMzMTd3R1nZ2cAli1bRtOmTVm5ciVRUVHY29vTq1cvPvnkEwBatmzJ3r17mTt3Lhs2bKBPnz6sWLGC119/XS//t/9lte908XR9AFJTUxkwYABDhgwhICCApk2bcufOHRo2VI8Q+uWXX7J+/Xq2b99OmzZtWLx4MSNHjiQ8PBwLC/lJyVdeeYX4+HiOHj1KYWEhM2bM4K233mLnzp21jkUhle3l8BRu3rzJL7/8UmlHicpIkoSxsTF///vf2bZtW6XThpR+TtkRMUrfl+770ksv0bFjx4pfUI34+Hi2bNnCW2+9hYuL9VP9rbZJkq3qtUKh2+H9akOSTFWvFYrleoxEJkkLVa8VCu0/lfm0JEl9p0yh2FfNnvUjLKwd+/btY+LEiXTrpv0ep09LktQdWhSK3XqMRCZJU1WvFYqDeoxEJkljVK8Vim36CwQIC/Moc+5c0WssAJLkq3qtsNJfHKWkMoMV6fu3gnLHR3FKb3GUCgtrrD5/Xumq73CQwtSvFQrd3qisDUlqrnqtqH0ZTGekMjem9J0WhoW1LpP21O98spWRpL6q14ZXDtumv0CUNNOen6resZ5I0iuq14ZwfDTz0joOm6QFkvSG6rVCcV6Pkcg0y4X6TXsMqQwG5c+do/oOB0n6QPVaoTCEOkWZOvJqPQaiJM1XvzaEtDAsrFuZ88ei5j/QMUlSPwmkUGzSYyQySfJTvdbh8zm1UrZ1TaH4t/4CUdLMJ07pLxAljTpFN/1P4SBJPqrXCsVV/QWiJEm9VK8N4ffSPD76L/eEhVmVOX901wm8tiRpouq1vtMeKJf+/Et/cQBIZTqHGEI+qlmnMLS23Qf6Dkez3Nyumh3riVTm8lYovtJfIEqa5WZDO38MrH1X8UBvcQBIUmvVa0OoAxpa+0pc3FDVPdLSzgqCUF8yMjKws7MjNN0RG9uaO11kZpTQ3S6RmJgYbG3V7QXm5uaYVzJ3/IIFCzh//jxnS3vIlyNJEi4uLnz44YfMmzcPgPT0dBwdHdm2bRt/+9vfiIiIoFOnTly6dEk1OkZgYCAvvPACjx49wqV0iLIaPPOMSZ07d1ZdnOU7TpRdStcpFAo8PDxo1aoV7dq105hipJRCoai2w4WjoyMdOnR41pAFQRAEQRAEQRAEQRAEQRAEQRAEQRAEQagn8kgXtVsAWrRogZ2dnWpZuXJlpZ974MABPD09eemll3BwcKBnz558++23qu33798nISGB4cPVD9nb2dnRt29fLly4AMCFCxewt7dXdbgAGD58OEZGRoQ8xfxuz9zpAmDcuHGqXiWlHSbKL6UaNmzIsGHDAHjuuecwNTVV/V35jhrlR7wAeUqT0aNH63RqEUEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQtKMYY4pqsZR2uoiJiSE9PV21fPzxx5V+blRUFJs2baJdu3YcOXIEPz8/3n//fbYr54NMSJCn/Cs7VU3p+9JtCQkJODg4aGw3MTGhUaNGqn1qo06dLhwdHZk2bRq2trYanSVKla5zdHTktddew8zMDIAmTZowYcIEjIzkr6+uw0bptCQvvfQSzZo1q0u4giAIgiAIgiAIgiAIgiAIgiAIgiAIgiDUk2JMar0A2NraaiyVTS0CUFJSQq9evVixYgU9e/bkrbfe4s033+Sbb76pz/8egDLyOmjRogXvvPMOV69eJTIykidPnpCTk4O5uTlOTk506dKFHj16qDpYlOrYsSO+vr4cOnSoyl4iCoUCNzc3Ro0aRePGjesaqiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAI9aQYI9UoFtXv93ScnZ3p1KmTxrqOHTuyd+9eAJycnABITEzE2dlZtU9iYiI9evRQ7fP48WONzygqKiIlJUX197VR504XAGZmZnh5eeHl5fVUf9e8eXPefvttYmNjiY6OJi0tjZKSEqysrGjYsCFubm7Y2NhoI0RBEARBEARBEARBEARBEARBEARBEARBEOpRcZmpQ6rf7+kMGDCAW7duaay7ffs2rVq1AqBNmzY4OTlx/PhxVSeLjIwMQkJC8PPzA6Bfv36kpaVx5coVPDw8ADhx4gQlJSX07du31rFopdNFXTVr1kxMHSIIgiAIgiAIgiAIgiAIgiAIgiAIgiAI/0WKMKaoFp0uip7yc+fOnUv//v1ZsWIFU6ZM4Y8//mDLli1s2bIFkGfVmDNnDl988QXt2rWjTZs2LF68GBcXF8aPHw/II2OMGjVKNS1JYWEh7777Ln/7299wcXGpdSwG0elCEARBEARBEARBEARBEARBEARBEARBEIT/LiWY1GqkixIUT/W5vXv35tdff+Xjjz/m888/p02bNqxdu5ZXXnlFtc9HH31EdnY2b731FmlpaQwcOJDAwEAsLCxU+/z000+8++67DBs2DCMjIyZNmsT69eufKhbR6UIQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBK3T1fQiAKNHj2b06NFVblcoFHz++ed8/vnnVe7TqFEjdu7c+QzfriY6XQiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCoHW67HRhKESnC0EQBEEQBEEQBEEQBEEQBEEQBEEQBEEQtK4Yo1p2upDqIRrdMOhOF2FhYezfv7/C+k8//bT+gxEEQRAEQRAEQRAEQRAEQRAEQRAEQRAEodaKMKaoFp0uikSnC92RJM2Dq1Ao6vh5tnX6e22SJFN9h6BBkhbqOwQNkjRc3yEAEBMTQ1paGmFh7fQdCg8fPlS9lqQBeoykIkmaqu8QNEjSGH2HAJQ9fzz0GofmueOrv0AqIeXoOwJNBnd8JB99h8D169dVr6UwPQZSCUlqru8QNEjT9B2BJn2nhRrnjtRXj5FUZHjlMF99h6BBkl7RdwgaDOH4aJ7Pb+gxkooMr1xoGOUwMMRz5wM9RlKRIdWPAaT5+o5AkyGkhZrnj/7rpGVJkp++Q9AgGVDbnOHlEz76DqHcueyjv0AqIUm99B2CBsM7Pvovx2uePxP1GElFhpT2AEjv6DsCNUPIR8GQ23YNp8wMIN3RdwSaDK/crP+0RzMt9NVfIJWQpNb6DkHF8I6N/tPC+Ph4fYcgCBRjQnEtuiWI6UV0rLSjRfkOGIKgazExMWzdulXfYVRgb2+v7xCEWjDE80ecO4IgCIIgCIIgCIIgCML/AkNsmwPRPicIgiD87ynBuFbTi5SIkS4E4b9TWloaAJ6enrRs2VK/wSjZ29vTokULfYch1IKhnT/i3BEEQRAEQRAEQRAEQRD+Vxha2xyI9jlBEAThf1NxLTtdFItOF38dCoV+x8kqOxyoQhGgx0hkkvS86rXCAIafk/6lfq1Q7NNfIEqlw861bNmSbt2u6DkazaGxFIoI/QWiJEkdVa8Vcfl6jEQmuZirXhvC9RUWJk97IJ8/iXqNpex0PQpFiB4jkZUdntTw4tH//BmS1E31WqE4qMdIZGFhrVWvFYpTeoujVNnhdus465hWlB2IS6H/0SaRymSfCsVu/QUChIV1Ur1WKL7SYySyssOTGkI+oVEOa6THQJSkFPVrw7vWc/UXiFJYmexB8Yn+4iglrVC/Nry8S7/l+LJD/yoUm/QYiSwsbKDqtcIAZvOQMtSvFYqf9BeIUtnhdg0ubTaAcmpYmJXqtb6vLSh/fRla3q7feDRj0X8Zvuyw9YaQr4eFNVa9ViiO6TESmWYduVCPkcjKTn1neOeP/q/1sLARqtcKxTb9BaKk2T6n/+Ojmf7oN+/SbF9ZrsdIZGFhYwFDbdvVb30dNKeLNrxyxpd6jEQmSR+pXhtC2qzZPpdR9Y71pOxUhfoux2uU4Q2uzqX/tDAu7nV9hyAIFGFEUS06XRRRUg/R6Mb/XKcLQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRB0rxgTimvRLUGMdCEIgiAIgiAIgiAIgiAIgiAIgiAIgiAIglBG7acX+R8c6eLzzz/XZhzVkiQJhSGMHy4IgiAIgiAIgiAIgiAIgiAIgiAIgiAIQq2IThfVkKS/7vAegiAIgiAIgiAIgiAIgiAIgiAIgiAIgiDoVjHGFIlOF1Wrj9EnROcOQRAEQRAEQRAEQRAEQRAEQRAEQRAEQfjrKcaE4lp0Syjmr9svoE6dLkB0ihAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEoaJijGo5vUhxPUSjG3XudCEIgiAIgiAIgiAIgiAIgiAIgiAIgiAIglBeMca17HRR8z6GSqudLnQx3YgYSUMQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ/npEp4unJDpICIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIAcmeKItHponKmpqYUFRWhUCiQJAmFQkG7du3o2LGj1oJ79OgRV65c0ckIGoIgCIIgCIIgCIIgCIIgCIIgCIIgCILhO3XqFEOGDCE1NRV7e3t9hyM8hWJMKK5Ft4RiSuohGt0wetY/dHZ2rjCyhSRJ9OjRQ2tLy5Yt6/wffFr377dGktpVWL7+uikAjo7G7NjhSHx8G7Ky2nLlSgsmTmxQL7HNn++KJD2Pv7+6Y4urqxX79vXk8eNhpKePYPfuHjg4mGnl+xaMhD/mQ8ZXkLgafn0b2juotze0gvVTIPIzyFkL0V/AupfA1kK9TyNrCJgNsSsgbx08XA4bpoCNRYWvq7P589sjSRPx9+8mx9fQlPXruxMZOYKcnHFER49i3bpu2NpqdYAXlQULuvLHH6PJyHiFxMSp/PrrUNq3t9XYx9HRkh07BhEfP5WsrFe4cmUMEye20kk89++3RZI6Vli+/tqxwr6HD7dAkjoybpz2zuVZVkaENjUl3cmMdCczgpuYMsq88iTncCNTJBdzxllobm9hDL83MiHbyYxERzO+tDXWWR+3yq4vR0czduzoRnz8ULKyRnDlSn8mTqx4/LThs89ckaThGktERD/V9m++6cDdu/3JyRnC48eD2b+/O+7uVjqJpZSLiyk//NCW5ORe5OT0JiysKx4e1pXuu2lTaySpL//4h9N/fSwA9+93QJK6VVi+/toFAHNzBV9/7UJycicyMzvzyy+tcHDQTdpT3vz5bkjSGPz9O2us9/JqyPHj/cjKep709FGcPt0fC4tnLgZU6bPPWiNJPhpLREQfAFq1sqiwrXSZPLmpVr5/0CA4cABiY0GSYNw4ze0TJsCRI5CcLG/v3l1ze8OGsH49REZCTg5ER8O6dWCrmZzX2oKJ8MeXkPETJH4Pv86H9i6a+5ibwtdvQvJ2yPwJfvknONhp7tOiCfy+ELJ3yZ/z5WtgrIWfb9astoSGjiQ9fSLp6RMJDh7GqFGa146XV2OOH/chK2sS6ekTOX16CBYWukmNBw1qxoED44iNfQtJ+oBx49pqbP/ss35ERPiSlfUeKSnvcPToJPr00d21/tlnbkjS8xpLRMQg1XZzcyO+/roTycnDyMwcwS+/9NRaOWxQPziwE2JvgpQC414oF9t8iLgIWTGQEgVH90EfD819enaDoH2Qeh+S78Jmf7CuPOl8atVd6wAnT/aosH3Tpvba+XJg0CAjDhwwIzbWAkmyZNy4ihfE0qUmxMVZkJNjwdGjZri5aXbk/uQTE86fNyM724LU1LoVThd4wx/vQMZnkPgJ/PoqtG+iuc834+Huh5CzFB4vhP2vgnu5pM+zGRybCamLIWUxBPpCNy2c4jXlW2++2YiTJ11JT++MJHXDzk77+UNVypfh5Xhac/LkINLTxyBJE7GzM9VpDAsW9OSPPyaRkTGTxERffv11FO3b22vs8+abHTl5cizp6TORJD/s7LRzrQMM6g8HdkPsLZAyYNyLmts/+xgiLkNWPKREw9HfoI+n5j73r8t/W3aZP7fusc2a1Y7Q0BdIT59CevoUgoOfY9Qol0r3PXx4CJL0CuPGNa/7F9dSfdeRK1NdOdXERMGqVS0IC+tKVpYnsbE92b7dFWdn3Z7TpfR9fdWUr5e1adMwJOkD/vGPnnqL5/vvRyJJH2gsAQETdRZPWfouw4P+y/EV49FfHXnQIAUHDhgTG2uCJJkyblzFh8GWLjUiLs6EnBwTjh41xs2t8s8yM4M//5Q/p3zdQ1uqOn9KHT7cF0kaw7hxuis31+Z679ChEb/9No60tNlkZb3HH39Mo0ULG63HUpv2OVdXG/btG8Ljx38jPX0au3d74+Cgg8ZKDOvYlDLkvOv+/dlI0sIKy9dfj9T5dxvauVNTfd3R0YIdO/oSHz+WrKxJXLnyHBMn1mc5TL9t8QCDBjXnwIGJxMa+gyR9xLhx6sTYxMSIVau8CQubQVbWHGJj32H79hdwdq6vezn6z9sbNAB/f3MePGhATo4N589b4emp+V0dOhjx22+WpKXZkJVlwx9/WNOihW4fgtZHO3xd61zeAyvWt0oXz15aC1Mdz2eDKqSDERFva/+LDIxCoah2WbJkib5DFOqgdHqR2ix/Vc+cmjdr1kz1unS0i9jYWK0EpU+9e8fg5BSlWoYPfwTAzz9nAbBjhyPu7maMHRtH167R7NuXxZ49TvToYa7TuDw97Xj77RaEhmao1llZGRMU1BtJgqFDQxgw4AJmZkYcPOiBNgYH8XaDjafBaw2MWA+mxhD0Hlgp26tc7ORl3j7o8gX47oBRneC7V9WfUVICv4XB2G+g/VJ5n+Ed4JuX6x5fWZ6eDXn77TaEhqap1rm4WOLiYsG8edfp0uUYvr5XGDXKke++86j6g+rA29uJjRsj8fI6xIgRQZiaKggKeg4rK3XBcseOgbi72zJ27HG6dv2Nffui2bPHmx49Gmk9nt69H+DkdFu1DB8eDcDPP2dq7DdnTiN0MTPQo2JYkFGMR1IhnkmFnMgv4bdGJnQy0Tw551gbI1ExACPgUCNTzBQK+icXMj2tCF9LYz630X6CW9n1BbBjR3fc3a0ZO/YKXbueY9++RPbs6UmPHs9497UGN25k4eR0RrUMHHhZte3KlUxmzAinY8cLjBz5JwoFBAX1wkhH90Ts7Y05f74zhYUSzz9/i06dwvjww4ekphZV2Hf8+IZ4eTUgNrbgvz6WUr1738HJKVy1DB8eBcDPP6cD4O/vwpgxtrz0UjTe3lG4uJiwb59uOliVJZ/LrQgNTddY7+XVkMDAvgQFJdGnz1l69z7L11/fp0RHnUZv3MjGySlYtQwc+CcAMTF5GuudnIL59NP7ZGYWERCQopXvtraG0FCYPbvq7efOwfz5lW93cZGXefOgSxfw9YVRo+C7754tHu/OsDEAvBbAiKVgagJBn4FVmWKD/wwY4wkvrQHvxeDSCPaVic/ICA4tBDMT6P8xTF8PvkPgcy3kpY8e5bJgQRgeHkF4egZx4sRjfvttIJ06yemcl1djAgMHExSUQJ8+R+nd+yhff32XkhLdTClnbW1KaGgSs2efqHT77dupvPvuCbp23cHAgbt58CCDoKBJNGliqZN4AG7cyMTJ6bhqGTjwomqbv39Hxoxx4KWX/sTbOwQXF3P27dNObdvaGkJvwOyPKt9++y68Ox+6DoSBL8CDGAjaC00ay9udneDYr3A3CvqOgFEvQecOsG2jVsIDqr7WS23ZEqex/aOP7mntu+VrvYTZsytP7z/6yIT33zdh1qwC+vbNJzsbjhwxw7zMtWdmBj//XMymTRXzk6fl3QY2XgSvTTBiK5gaQdAMsCrTNn0lFmbshY7+MPJ75Lx8Bhgpi0bWZhA4Ax6mQd9NMHAzZBbAkRlgUsf8vqZ8y8rKiMDATFaseFy3L3pKlZXh5XiMCQxMZMWKW/USh7e3Cxs33sDLax8jRhzE1NSIoKDRGuV4KytTAgNjWLHiqta/X3W9f1j59tt34d150LUfDBwJDx5C0K/q673U4i/AyU29bNhc99gePcphwYJreHgE4OkZwIkTifz222A6ddLsHThnTod6n25UH3Xk8moqp1pZGdGrlzXLlsXSq9cNJk68g7u7JQcOaK8TWlUM4fqqKV8vNX68G15ezsTGZuk9noCA+zg5faNaXn75kE5jAsMpw4N+y/GVx6OfOrJczpCYPbu40u0ffWTE++8bMWtWMX37FinLGSYa5YxSX35pRFyc7tLHqs6fUnPmuNZL+lzT9eXqase5c1OJjEzBx2cP3brtYNmyi+Tl1b0cVl5N7XNWViYEBY1Q5hWBDBhwGDMzYw4eHKaTvMKQjg0Ydt4F0Lv39zg5rVUtw4f/BMDPP0fo/LsN7dypqb6+Y0df3N1tGDv2HF27BrJv3yP27OlHjx722g+mHENoi4fS6+sxs2cfrbDNysqEXr0cWbYsmF69djBx4q+4uzfiwAHdd6g0lLz93/+2ZMQIE/7+91y6ds0iKKiYY8escXGRT1hXVwXnzlkRGVmCj0823bplsWxZPnl5uokH9NcOX9c6V3CIZl3LyQ2+3QZR9+Gy9quIANy48VgjPRw4cIduvsiAxMfHq5a1a9dia2ursW7evHn6DlGog2KMatnpov4eBNK2Z+5mWLbTRanc3FxSU1Np2LBhnYLSp+RkzQrVggXW3L1bwOnTuQD072+Jn99jLl3KB2D58lTmzm2Ih4c5167l6yQma2tjfvqpO2++eYNFi9S9oQcMaEjr1pb07HmezEy5YDx9ehipqcMZOrQxx48/qdP3Pl+uUd53ByR9CR4t4exduBkPk79Vb49KhoUH4Edf+enb4hJIy4Vvzqr3eZgC/zoD/xxRp9A0yMfHkzffvMqiRR1U62/ezGDy5BB1fFHZLFwYzo8/emJsrKC4WLuVzuef1yzc+fqeIynpZTw8GnP2bCIA/fs74Od3gUuXkgFYvjyMuXM74eHRmGvXtNtQUfFctlGeyzmqdd27m/Phh43w9LxPQoJ2K0+/52uWFhdlFuNnbYyXmYLwIvnYdzdR8GEDYzyTCkhw0uxM8Zy5EZ1MFAxPLOBxCYQWSSzOLGK1rQlLMosp1FKcVV1fAP372+Pnd5NLl+QC8vLl95g7tzUeHrZcu5ZR2cfVSVGRRGJi5TePvv1W3aktOjqPRYvuERbmRevWlkRF5Wo9lvnzXYiJyef116NU6x48qJjGubiYsmFDa0aOjOTQIXetx2FosZSq/PrK5/TpbGxtjZg5syHTpsVw8mQ2ADNmPCIy0p2+fa0ICcmp7CPrTD6Xe/Hmm6EsWtROY5u/f2fWr7/P6tV3Vetu387WSRxQ9blcUkKF9RMmNGHPniSysytv0HxagYHyUpUff5T/bVVFH5ibN2HyZPX7qChYuFD+O2NjKH7KMJ9fpvnedwMkbQOPtnA2HGytYOYwmLYWTt6Q95nxNURugL7tIeQ2PNcdOjWH4UvgcTqEPoDFu2D132HJbiisQ1vc77/HabxftOg6fn5t8fJqTHh4Bv7+PVm//g6rV0eq9rl9O7P8x2hNYOADAgMfVLl9165IjfcffHCaN97oSrduTThxIkYnMVV1PtvamjBzZnOmTQvl5Ek5D58x4zqRkYPp29eekJC0On1v4DF5qcquvZrvP1gEb/wdunWGE2dg9EgoLITZ/0TVuXLWB3D9PLRtA/fu1yk8oPp8CyAnp6Ta7XURGFhCYGDVLVNz5pjwxRdFHDgg7/PaawUkJlowfrwxu3fLF/KSJaXl57p36Hx+m+Z7372QtBA8msHZB/K6by+pt0enwaKjEPY+tG4IUSnQoSk0toJPj8EjZdvc0uNw/R/Qyh7u1aGoWF2+BbBunVw29fbW0lAotVBVGV6O554yniaV/anWPf+85k1VX98TJCXNwMOjKWfPxitjClPGVPkoD3UReFReqrLrZ833H3wCb0yHbl3gxGn1+swsSNRyv5nff9d8sGLRolD8/Nrh5dWE8HD5RO3evSEfftgRT88AEhImaTeAKuirjlxeTeXUjIxinntOM+96990HXLrUhRYtzIiJ0U0aaSjXV035OoCLSwM2bBjCyJH7OHRovN7jyc8vJjFRN+X1yhhSGR70W45/mnhAt3XkwECJwMCq24zmzDHiiy9KOHBA3ue114pJTDRh/HgFu3er/27UKAXPPWfEpElFvPCC9huPqzt/ALp3t+XDD13x9DxLQsJzWv/+smq6vpYvH8Dhw/eZP1/dSBgVVXlHkbqqqX1uwAAHWrduQM+eB8nMlFuXpk8/S2rqNIYOdeb48XitxmNIxwYMN+8qlZysmQYvWNCfu3dTOH36oU6/Fwzv3Kmpvt6/f2P8/K5w6ZJcUVi+PJy5c9vj4dGIa9fStBpLWYbSFg8QGHifwMDKK7cZGQU899wejXXvvnuMS5deo0ULG2JidNO2YSh5u4UFTJpkwrhxuZw9K+fVS5fmM2aMCX5+ZixenM/y5RYcPlzE/PnqNCAqSjcdvkC/7fB1rXMVFmrWtUxM5NEytNHRvSpyOUi3ZT9D4+SkHs3Hzs4OhUKhsa6sK1euMH/+fMLDw+nRowfff/897u7yPQFfX1/S0tLYv3+/av85c+Zw7do1Tp06pcv/glCNIowpqsUoFrXZx1BpZaSLsh49evTMwRgaU1N49VVbtm5VJ+rBwblMnWpDw4ZGKBQwdWoDLCwUnDql/ZuepTZu7MShQ48rNBCZmxshSRL5ZW5u5+WVUFIiMXCg9ju+2CkfIk2pJp23s4SMPLnDRWWc7WBiDzh9R3txbdzYg0OHEjh+PKnGfe3sTMnIKNJJIa/id8lDgqSkqAstwcGPmTq1DQ0bminPnzZYWBhz6lSCTmNRn8tpqnWWlgp27mzG7NkJJCbqrpEE5IRmqoUR1gq4UCAfe0sF7Gxowuz0IhIrOV/6mSm4XiTxuMy2I/kl2Bkp6Gyive7jVV1fAMHBaUyd6kzDhqbK38sZCwsjTp3SzZM87dpZERs7iHv3+vPjj51p0aLyEXSsrIyYMcOFqKgcYmJ00/V47NiGXL6czZ49biQm9uLq1S688YbmsLEKBfzwQ1vWrIkjPFx3aaAhxVIZU1MFr77akK1b5fPCw8MSMzMjjh1TV95u3conOrqAfv10NyXMxo1dledyssb6pk3N8PJqyOPH+Zw/P4CEhOc4dao/AwZof4SdUu3aWRIb24979/ry448dqzyXe/VqQM+eNnz3nXYbJrTNzg4yMp6+w0Wln6U8BVKUD3J6uIKZKRwLVe9zKxaik6Cfsi9cP3e4/lDucFHqyDWws4bOLeoeUykjIwVTp7bA2tqECxee0LSpOV5ejZXnzjASEsZx6tQQBgyon5ugNTE1NeKtt7qSlpZHaGjNZYBnJafNQ7h3z5sff+xOixby0LEeHrbKa119zd26lU10dC79+tnrLJ7KmJrCW9MhLV1+cgPA3AwKCtEYzSpXmWUM9NLO99Z0rb/yigNJSQO4fr03K1a0wdKyfnqqt2mjwNlZwbFj6os2IwNCQkro169+YrBTHoqUKrIkK1OY0UvubBGjvLZvJUFyNsz0lEeYszCRX4c/hgdp2outfL6lL09Thq9vlZXjDYWpKbzlC2lpEHpdc9uCuZD8AK6ehXnvy50FtUnOJ1op8wn5d7O0NGbnzgHMnn2JxEQdPhJXjqHUkWtTTi3Pzs6YkhKJtDTd1cEM+foqSy7Dj2LNmsuEh2u3Q8yz8vFpTmLiLCIjffnXv4bRqJFuhowvZUhleDC8crwh1ZFLtWmDspyhTmfkcoZEv37qtgoHB/j2W2P+/vdicnTUj6eq8wdK0+dezJ59ncRE/eZnCgW8+KIrt2+nEhg4kcTEWVy8+HK1Uw5pU/l8Xc4r5E5WpfLyipV5hW6mlK2KPo6NoeZdlTE1NeLVV7uwdWtozTvrgCGdO+Xr6wDBwU+YOrVlmXbmFsp2Zt2OXmeobfG1YWdnrjyXdZcuGkrebmIiTxeUl6d57HNzJQYONFamPybcvl1CYKAViYkNuHjRmnHjdDcdjCG1w1enujpXqbEvQONG8P2PuoujXbuGxMa+z7177/Djj+No0UI3o2//VS1cuJD/+7//4/Lly5iYmPD666/rOyShBsWY1Hr5q3rmVkd7e3usy0wKrVCOofXfMMVIqfHjG2Bvb8S2bepOF1OmJGBqCikpbcnPd2PzZgcmTIjn3j1tPXevaepUZ3r1suPjj29X2HbxYhrZ2cWsXu2OpaURVlbG/L//546JiRHOztqd7kShgLWT4ZxyhIvKNLaGxc/DlvMVt+2cAdlrIW6l3CnjDS1lRlOnNqdXL3s+/vhmjfs2bmzG4sUd2LJFC4921kChgLVr+3DuXCI3b6ap1k+ZchpTUyNSUqaRn/8amzf3Y8KEk9y7p7unhgHGj7fB3t6YbdvUd+z8/R0JDs7lwAHdDeHaxURBppMZ+c5mfGNvwoSUIiKUo1z425oQXCBxIK/yHjpORgrK9wUp7ZzhZKydThfVXV8AU6b8iampgpSU4eTnj2Tz5s5MmPAn9+5pv8UkJCQdX9+bjBr1J35+kbRpY8nZs540aKBuLffza05mpg/Z2UN5/vnGjBjxJ4WFuqm0uLqa4+fnyJ07eYwcGcmmTYmsX9+a115T32ydP9+FoiJYvz5RJzEYYiyVGT/eVnl9pQLg5GRKfn4J6ema53ZiYhFOTropMEyd6qI8lysOt+nqKt/lX7LEnW+/fcioURe5ejWd48e9cHPT/hPNISEZ+PpGMmpUGH5+t2nTxoKzZ3tqnMulZs50Jjw8mwsXtD9yjLY0bgyLF8OWLXX/LIUC1r4O5yLgpvIhHaeGkF8I6eWSlcQ0eRuAk738vvz20m111aWLHZmZE8nPn8w333gyYcJ5IiIycHWV5zldsqQz334bxahRp7l6NZXjx31wc6ufOVAr8+KLbcjMfJe8vH8wd64HI0bs5ckT3TSuh4Sk4et7nVGjLuPnd1OZNnvRoIExTk7mymtd8ymQxMR8nJx0O+1cqRefg8yHkBcPc2fBiInwRNkeceIsODnAvPfkBgN7O1j1mbzNWQvtgTVd6zt3JvLqqxEMGXKNlSuj+fvfnfjxx441fKp2ODnJ5YTERM08MjFRoooHJLRKoYC1o+HcA7hZLlvy6wuZn0H2UnjeXZ6KpFBZ3skqAJ9/w6s9IHcpZC2BUe3lUTSq6tD8LMrnW/rwNGX4+iaX4wdw7lw8N2/qt2NKWS+Ogsw4yEuCubNhxHj19Q6w/hv42wwY8iJs/h4++RC+XFblxz2VLl3sycycQn7+3/jmmz5MmHCGiAg57/b39yA4OIkDB+rv4QtDqSND7cqpZZmbK1i9uiW7dj0hM1M3N64M+foqb/783hQVlbB+/Z8171wPAgMf8NprgQwb9gvz55/F27s5AQETMTLSTv2zPEMqw4PhleMNrY5cSl3O0FyfmKjeBrBtmzHffFPClSu6iae68wfkp6mDg1M4cKD+68jlOThYYWNjxoIFfQgMfMBzz+3l11/vsm/fWAYPbq7T766sfe7ixSSys4tYvdoTS0tjrKxM+H//r7cyr9DdtIWV0cexMcS8qyrjx7tjb2/Btm1h9fq9YDjnTlX1dYApU4KV7ZYTyM9/ic2bPZkw4Rz37umurddQ2+Jrw9zcmNWrvdm1K4LMTN2M2GJIeXtWFgQHF7F4sTnOzgqMjOCVV0zp188YZ2cFDg4KbGwULFhgTmBgEc89l8Ovvxayb58lgwdr/ylzQ2qHr0pNda6yZr4GR45DbFzl2+sqJCQOX9+DjBr1H/z8AmnTxp6zZ1+jQQMz3XzhX9Dy5cvx9vamU6dOLFiwgODgYPJ0OTeOUGcltZpaxJiSv/BIF3W6+9O8eXNu3dKcB1QXnS7qe27YUjNn2hIQkE18vLpAuWxZY+ztjRk27BHJycWMH9+APXucGDToETduaDezbt7cgnXrOjJixCWNJ3VKJScX8NJL19i0qTPvv9+KkhKJXbviuXIlXevzgG2cCl1cYOD/Vb7dxgIOvQPhCbDk94rb5+6FpYehvQOsHAdfTYbZ/6lbTM2bW7JuXTdGjDhX6fHRiM/GhEOH+hMensGSJbqfA3DjRi+6dGnIwIGHNdYvW9YTe3szhg07QnJyHuPHt2TPHh8GDTrMjRtpOotn5kx7AgKyiI+XbwyNGdOAoUOt6dkzqoa/rJtbRRI9kgqwM1Iw2cKI7fYmeD8pxM1YwVBzBT2TdNNZqTZqur4Ali1rh729KcOG/UFycgHjxzuyZ08PBg26yI0b2q3ABAaqe/hevy43eEVHD2TKFEe2bpVLbz/9FM/Ro09wdjZn3rxW7NnTlQEDLtd4/j8LIyO4fDmbhQvlBvRr13Lo0sWKWbMc2LEjmV69rPjHPxzp1euG1r/bkGOpzMyZjQgIyFRdX/VNPpe7MGLEhUrPhdJG4s2bo9m2TZ5+4dq1mwwb1oTXX2/BJ59EVvibuggMVNdGrl/PJiQkk+hoL6ZMacrWrepRfSwsjJg2zZFlyx5o9fu1ycYGDh2C8HBYsqTun7fxTejSEgYurPtnadOtW5n06BGEnZ0pkyc3Z/v2Pnh7n1TNh7158z22bZMbSa5du8awYY68/nobPvmkiu7+OnbyZAw9evxIkyaWvPlmV/bsGU3fvjtJStL+KDeBgeonU65fzyQkJI3oaB+mTHEmN7d+Gxwrc/Ic9PCW5xh98zXYsxX6joCkZAiPhOnvwFdfwMrF8kgt67dAQiJaKSfWdK1/+626l+6NG9nExxdw4kQPXF0tiIr6764EbxwLXRxhYCXDjP50DY7eBWcbmDcI9rwMAzZDfpE8ssV3E+F8NLz8H3m6vnmD4NB06L0RtDWtt/7zrdqX4fVh48bBdOnSiIED9+s7FA0nz0CPgcrrfTrs2QZ9h8rXO4B/makhr9+EggLYvA4+XiK/rotbtzLo0eMwdnZmTJ7cku3b++HtfRQ3NxuGDnWkZ8+Aun3BUzCkOjLUXE4ty8REwZ497VAowM/vgfaDwfCvr7J69XLgH//oRa9eOnw88Cnt3q1u37pxI5mwsGSiombi49Nc69OYGVoZHgyvHG9odeSn8d57RtjYwMqVuomjpvNnzBhHhg5tTM+eZ3Ty/U+r9Hz+7bd7rF0rT3wfGppE//4uzJrVjTNndNdxr7L2ueTkfF566RSbNnnx/vsdlXnFfa5cSaakpH7boPVxbAwt76rOzJndCQi4R3y87joRVMVQzp2q6usRERksW9ZV2c58Utlu2Yw9e/ozaNAJbtzQ/hQ1htwWXxMTEyP27BmHQqHAzy9IJ99hiHn73/+ey9atlsTF2VBUJHH1agm7dhXi4WGsavP57bci1q6VKwyhoQX072/MrFlmnDmjvTYWQ2uHr0pNda5SzVxg5DCYMl13sQQG3lO9vn79MSEhsURHv8uUKR31NvqPoenWrZvqtbOzMwCPHz+mZcuW+gpJqEFpp4ra7PdXVadOF/3796d169aaH2iivad427Zty/TpOky5qtGypQnDh1sxcaK6wdjV1ZT33rOnc+dowsPljCgsLIVBgyyZPdsePz/tDt3l4WGLo6M5V6/2V60zMTFi8OBGvPtuS8zNj3D0aDJubqdp3NiUoiKJ9PQi4uOHEhWlvSEeN0yB0V1h8FcQm1ZxewNzCHwXMvNhwmYoqiTfTMyQl1uJkJID5z6EZYchoQ4PRXh42OPoaMHVq0NV6+Tj04R333XF3Hw/JSXQoIEJgYEDyMwsYsKEixQV6bYCtWFDX0aPbsHgwQHExqp7Yrq62vDeex3p3Hk/4eFpAISFpTJokCOzZ3fEz++CTuKRz2VrJk5UV9SGDrWmbVtT0tLcNfbdu7c5Z8/mMGSIduZJLATuFQPFElcLi+ltZsQ/rI3JlSTaGitIc9Lsmbm3oQlnCySGPCkkoUSij5nmE0WOysJgghaGpKvp+nJ3P8t777Wmc+ezhIfLBbuwsEwGDWrI7Nmt8PPT7ZNj6elF3L6djZubuqd8RkYxGRm53L2by8WL6aSm+jBhQlP+8x/tP7kSH19YYZqOiIhcJk2Sh7wbNMgWBwdTHj7sqdpuYqLg//6vJXPmONGmzbX/yljKa9nSlOHDGzBxYrRqXUJCIebmRtjZGWmMduHoaEJCgvZvcMlpoTlXrw5WrZPP5ca8+25r3N1PAhAerjmiTkREJi1b6v4pHvlcztE4lwEmT26KlZURO3bo/8mryjRoAIGBkJkJEyZAUR1/ug1vwGhPGLwIYsuMopiQCuam8rQjZUe7cLSXtwEkpEGfclM0O9qrt9VVYWGJ6kmYq1dT6d27Ef/4R3tWrZIbRsLDNTPriIgMWrbUzROWtZGTU8S9e2ncu5dGSEg8t2/PYObMLqxadUnn361Om604ejRZea2baIx24ehoTkJC/QzhnJMD9+7LS8hluH0JZr4Kq9bK23ftlReHppCdI0818sE7EBVd7cc+k6qu9VIhIfJ55OZmqfNOFwkJcjnB0VGhel36/to1HZcDx8Bodxj8LcRWUs7NyJeXu0/gYgykLoYJneA/YTCtO7RuCP2+UU8LM223vM+4TrBbCw/4VZZv1bfaluH1YcOGgYwe3YrBg/cTG2tYc+fm5MC9KHkJuQS3/5Sfrlr1VeX7h1yWR7lp3RJu3618n9rSzCdSlPlEB3Jzi2nb1oa0tJc09t+7dxBnzyYxZMixun1xJQyljlyqpnKqOkYFe/a40aqVGUOHRursSWFDvr7KGzSoGQ4OVjx8+KZqnYmJEf/3f97MmdOLNm2+02N0svv300lKysHNzV7rnS4MvQwPhleO13cduZS6nAEJZWaKdXREVc4YOlRBv34K8vM120gvXzbhp58kfH3rlgbUdP5s2hRN27bWpKWN0vi7vXs9OXv2CUOG6Kb9qSrJybkUFhZXmEYoIiKFgQNddPa9VbXPARw9Goeb2z4aNzZX5hUFxMdPJSqqfp/I148U3EgAALUZSURBVMexMbS8qyotW9oyfHgbJk7cW6/fC4Z17lRVX//yywjee68dnTsHqOrsYWFpDBrUhNmz3fDzu6L1WAy1Lb4mcoeLsbRqZcvQof/R2SgXhpi3R0VJ+PjkYGUFtrZy/fg//7EkKqqE5GSJwkKJ8HDNazsiooSBA7V7w9PQ2+FL1bbONeNVeQSMA4cr/xxdSE/P5/btFNzctD9l4l+Vqamp6nXpTAwlysqOkZFRhYf5Cwv19wCwICvGqJadLupnamBdqFMPiZYtW+q015C1tbXGFCb1acYMWx4/LubQIXVjm5VV6YWrebEWF0uqnoHadPz4E7p0Oaux7vvvuxIZmc3q1VEajSVPnsgJxpAhjXBwMOPAAe10ANkwBSb0AB9/eFDJFKs2FnDkXfnpvLGb5H9rUjoyp3kd++ccP55Ely6aDXnff+9BZGQmq1ffpqRE7lV75MgA8vNLGDu28l6m2rRhQ18mTGiJj08gDx5o9sC0spITk/o6f0rNmGGvPJfV8axalcy//52msd+NG67MnZvIwYO66zlqBJgr4LPMYv6do/lb3HAwY25GMQfz5ILehQKJhQ0UNDWCJOWuI8yNSC+RCNdCYb2m68vKSv5R6vv3KmVtbUzbtlb88ENCpdsVCnkxN9dNMOfPZ+Lurjl/cfv2FkRHyzcSf/ghmWPHNHvNHznSgR9+SOb777U7d7QhxVLejBmNePy4iEOH1HfWrlzJpaCghGHDGrBvX4YyXnNatTLjwgXtD4knp4WnNNZ9/30PIiOzWL36LlFROcTG5uLurjkdRPv2DQgI0O08n1B6Llvyww+aDZ8zZzpz4MATkpMNr8BrYwNHjkB+PowdK/9bFxvegAl9wedTeFDukF+JgoJCGNYN9l2U17V3gVZN4YJyxMULt2DhJGhqB0nKU31Ed0jPhnDttv8D8tMX5uZGPHiQTWxsDu7uNhrb27e3ISBAt/N3Pw053vqZ60+dNsdx5UqG8lpvzL598vndvr01rVpZcuFCWr3EU56REZhXMnr+Y2VSOOMVyMuDoye1/91VXeulevSQ06D4eN00cJV1/75EfLzEsGHGhIbKhVMbG+jb14hNm3SX5mwYI3eg8Pk3PKjFzB0K5VJ6+lqZyaOQlG0XKJHk99oa2b6yfKu+1aYMrw8bNgxkwoQ2+Pgc4MED3U79pw1VXe+lenSTR7h5nFz1Ps/+3XI+8dlnYfz735o9Om7cGM3cuVc5eFA3Ty0bQh25rJrKqaC+adWunQVDhkSQkqK7UWYM9fqqzA8/RHDsmGZn/yNHJvHDD+F8/71hTI3SrFkDGje2JD5e+52wDL0MD4ZXjtd3HbnU/fsoyxlGhIbKF5VczlCwaZP8/v33i1m0SP03Li4KgoJMmDq1mJAQbbRnVH/+JCcXsHmzZgfLGzd8mDv3JgcPVn78dKmwsIRLlxJxd9e8UdS+fUOio3WT51bXPlfWkydyej1kiBMODhYcOKCDClY19HFsDC3vqsqMGd15/DiHQ4fu1Ov3Gvq5U1oOs7KSKxGVt1vqZlosQ2yLr0lph4t27RoyZMh/SEnR3QMAhpy35+RATo6EvT2MHGnCRx/lUVgIly4V4+6umW+2b29EdLR2O8oYejt8Vaqqc814BXbsqvsDWk/D2tqUtm0b8sMP+hl19q+madOm3LihOSr2tWvXNDpqCPWvCGOMa9Hpouh/daSL/1YKhdzpYvv2DIrLdPSLjCzgzp0CNm92ZN68JJ48KWH8eGtGjLBi9GjtT96UlVXMzZuahbvs7GKePClUrff1bUZERDZJSQX062fPunUd8fd/wO3bdW8U2Pg3mOYJ4zbLo1g42srr03Mhr1DucBH0ntxA/Oo2sLWUF4CkTLmR+PnO4GgDl6IhKx86u8CaCXDuLkTXcYrkrKwibt7UbDDOzi7iyZMCbt7MwMbGhKCggVhZGfPqqxextTXB1lY+5ZOS8rU/BctGL6ZNc2XcuONkZhbh6CgfjPT0AvLyiomMTOfOnQw2b+7HvHmXefIkn/HjWzJihAujR2v/KTAoPZft2b49TeNcTkwsJjGxYg/1hw8LefBAOw0nK2yMCcgv4WGxhI1CwTRLI3zMFIxMKSKxBBIrGXbvYbHEA2VYQfklhBdJ/GBvykcZRTgZwxc2JmzMLkYbt2tqur5MTBTcuZPN5s1dmDcvkidPChk/3oERI5owerT2e4uvWdOOgweTiI7Ow8XFnKVLXSkulti1K4E2bSyZOtWRoKAnJCUV0Ly5BQsWtCY3t5jDh3XQkg74+ycQHNyJjz92Yc+eJ/Tp04C33nLgrbfknvspKUUVKt2FhRIJCYXcvq3dCowhxVKWfH01ZPv2VI3rKyOjhO++S+Wrr1xISSkmI6OEDRtcCA7OJiRE+50u5HNZszFGnRbK69esucfSpe6EhmZw7Vo606e3oEOHBkyefFnr8axZ05aDB5OJjs7HxcWMpUtbK89ldQWybVtLBg+244UXtF9RsLYGNzf1+zZtoHt3SEmBmBho2BBatgQX5UND7soBfxIS5HmYbWwgKAisrODVV8HWVl4AkpKeflqGjW/BtEEwbiVk5qpHqEjPgbwCyMiB747DVzMgJUt+v+ENCI6EEGWni6BQCH8EP7wPH/0ATvbwxTTYGAgFdazgrVjRlYCABB4+zMbGxpRp01ri4+PAyJGnAViz5hZLl3YmNDSNa9fSmD69NR062DB58vm6fXEVrK1NcXOzV71v08aO7t2bkpKSx5MnuSxc2JcDB6KIj8+iSRNLZs/uQbNmDfj558rnBK2rNWvclWlzrjJtbkdxMezaFU9GRhHfffeIr77qSEpKIRkZRWzY0Ing4FRCQtLq/N3W1uDWRv2+TSvo3gVSUuFJKiz8AA4EQnyCPPTl7DegmTP8/Jv6b2a/AcF/QFY2jPCBNUthweeQroX77dVd666uFkyb5sjhw0948qSIbt2s8fd34/TpNK5f186NK/laVzcmtmmjoHt3hfJal1i7tohFi0y4c6eE+/clli0zJS5OYv9+dYLdooWCRo2gZUsFxsbQvbv8eXfvSmQ/ZZgbx8ojVYz7UVluVrajpefJ04K0aQhTu0HQHUjKhuZ2sMAbcovgsHI0+6N3Yc0o+bM2XJA7WizwlkeRO6mFGeGqyrdAHo3JyckENze5RalrVwsyM0t4+LCQ1FTtPtVYUxlejsccJycL3NwaKOOxJTOziIcPc0hN1f5Nvo0bBzFtWjvGjQsgM7OgQjlejskSJycr3NzslDE1JjOzgIcPs0hNrVvvPGtrcHNVv2/TGrp3VV7vKbBwHhwIKHO9v6m83n+V9/fqA3095eFwM7OgXx/wXwk/7oa0tDqFxooVPQgIiCuTT7TGx8eRkSNPkJiYR2JixbLWw4fZPHigm5FC9F1HLq+mcqqJiYJffmlHr15WjB59G2NjBY6OckNfSkoRhYXabdA2tOurunw9Jiazwo2PwsJiEhKyuX27Fj3XtBxPSkoen33Wj71775CQkE3btnZ8+eVg7t5N48gR7Y8OZGhlePn79FuOrxiP/urIFesUCrp3l1R1irVrS1i0yIg7dyRlOcOYuDjYv1++pmPK3XvNypLX37snoY1ZmWtz/iQmVsybHj7M5cED7U/JBzVf72vWXGb37hc5cyaWkydjGDWqNWPGuOLjs0frsdTUPgfg6+tGREQ6SUl59OvXlHXr+uDvf5Pbt7XfMdWQjg0YXt5VGbnc2p3t28Mo1sJot7VlaOdOdfX1yMgM7tzJZPNmT+bNC1W2MzdnxAgnRo8+W/OHPwNDa4uH0utL3WmpTRt7und3ICUll/j4bH75ZRy9ejkyevRejI2NcHSUH/BNScmlsFC7ARli3v7cc8YoFHDrVglubkasWWNBZGQx339fqIyngN27LTlzppiTJ4sYNcqEMWNM8PHRbvulIbTD17XOVWqoN7i2gX9v10pYVVqzZhgHD94hOjodF5cGLF06mOLiEnbtCtftF/+XGDp0KGvWrGHHjh3069ePH3/8kRs3btCzZ8+a/1jQmULMUVDN0yOq/fQ7QlJdiE4XlRg+3IpWrUzZulWzEFFUBC+8EMeqVU04eNCFBg2MuHu3kOnTEwkI0P6NtNpwd7dm5Up3GjUy5cGDXJYvv4e//wOtfPY7ypGwTs/VXO+7A7ZfhF4twEt5M+De55r7tF4kd6rILYQ3B4L/ZPkpvphU2HcNVulm6jQNvXrZ4+UlD413795IzfhaBxIdrd3f7J13OgBw+vTzGut9fc+xfftdiookXnjhKKtWeXDw4DAaNDDh7t1Mpk8/S0CAFmrdlRg+3Fp5Lmt/Hr+aOBgp2GFvirMxpJdAWJHEyJRCjuXXLsEsAUanFLLJzoQLTUzJlmB7bjGf1tNwhvLvdZlVq9w5eNCDBg2MuXs3h+nTwwgI0P7oCc2bm7NrV1caNzYlKamAc+fS8PK6RHJyIaamCgYNsmfOnBY0bGhKYmIBZ86k0r//ZZKSdPN00eXL2UyYcIeVK1vw6afNuH8/nzlzotm5s5Ihb3TMkGIpa/jwBrRqZcbWrRV7kM2dG0dJiTN797bC3NyII0cyeecd3VzntbFu3X0sLIzx9+9Mo0amhIZmMGLERaKitJ93yedyJ+W5XMi5c+l4eV3VeBLu9dedePQon6CgOva+q4SnJ5w6pX7v7y//u20bzJghj1yxbZt6++7d8r9LlsDSpdCrF3h5yevuqadPBKB1a4h+yjb3d5Qj+p7+QnO97wbYrhxtYO73ckfFvf+Upxo5cg3e2aLet6QERq+ATW/BhZWQnQfbT8Gnu54ulso4OFiwY0dfnJ0tSE8vJCwsjZEjT3PsmPxE47p1t7GwMMLfvyeNGpkRGprGiBGniYrSzc00T09HTp2aonrv7+8DwLZtN5k16xgdOjRi+vTONGliwZMneVy6lMCgQbsrDMerLc2bW7BrV3caNzZTps0peHldIDlZ7v43d24EJSUSe/f2VF7rybzzjnaezvXsAacOqt/7L5f/3bYTZn0IHdrB9L/JjQFPUuDSnzDoRQgvMw1sn16wdAE0sIbIO/D2B/Cjltpuq7vWLSyMGD68IXPmNMfa2piYmDz27k3iiy+0d9PK09OIU6fUFTV/f3nKsm3bipgxo5AvvyzC2hq2bDHD3h7OnSth1KgCjZFrPv/cBF9fdXXo2jX5iT8fn3xOn366Brh3lOnG6Tc11/v+Atuvyh0vBrWGOQOgoQUkZsGZB9D/G7kTBsCtJBjzA3w2FC7MktOFP+Nh1DZI0MKDjtXlW7NmNWbJEkfV+7Nn5TtNvr4xbN+um5uf1Zk1y5UlSzqWicdbGc9ltm/XzjR4Zb3zThcATp8er7He1/cE27ffUsbUmSVLepeJaXyFfZ6VZ084VWZoWv+V8r/bfoJZc6BDe5g+rcz1fhUGjVJf7/n58LdJsGSB/CTW/Wjw3whffV2nsABwcDBnx45+ODtbKvOJVEaOPMGxY/X/pHRt6bKOXF5N5dRmzUwZN06+ERAa2lXjb318wjl9uv5HVanP66u6fH3GjCNa/a66xuPnd5xu3ZowfXon7O3NiYvLIigomsWLgykoqN8h9UvVZxke9F+Orzwe/dSRPT0VnDqlLiP4+xsDxmzbVsKMGcV8+WWJspxhrCxnSIwaVVTnEfL+ymq63vfvv8usWcf4+OM+rF8/hFu3Upg06SDnz2v/Ibaa2ucA3N3tWLnSg0aNzHjwIIvly8Pw99fNjSxDOjbw18i7hg9vQ6tWdmzdGqrz7yrL0M6dmurrL7xwhlWrunHw4CBlO3MW06eH6G1kyvpuiwfw9HTi1KmXVe/9/eWpT7Ztu86SJecZN06eqzU0dIbG3/n47OL06fod2QbqP2+3s1OwcqUFzZsrSEmR2Lu3iIUL81QjNOzfX8SsWXl8/LEZ69dbcOtWCZMm5XL+fP2WfeqjHb6uda5SM1+D8xfhlo4H4Wne3IZdu8bTuLElSUk5nDsXg5fXNpKT9XMf8q9m5MiRLF68mI8++oi8vDxef/11XnvtNa5fFyOF6FMxxrWcXuSvO9KFQio/sc1/ofj4eLZs2cJbb72Fi4vupk6oDUlST8quUAToMRKZJKkLkYp39BiIkvQv9WuFYp/+AlEKC2vHvn37mDhxIt26aX90g6clSb6q1wpFhP4CUZIkdWOdIk7/rQuSi/rmiyFcX2FhzcucP/U73215kjRc9VqhCNFjJDJJ6qt6bXjxhOkxEpkkdVO9VigOVrNn/QgLa13mXNZvZxcASfJRvVboZtTMp1K2JKWYqL84Skllsk+FYrf+AgHCwjqVOXeO6jUWAEn6QPXaEPIJjXJYo2p2rCdSmfsnCsUpvcVRSvNa181TmU8jLOyu+nze1bXmP9AxaYX6teHlXfotx0uSOjFWKDbpMRJZWNhA9bkzwADOnTLPFigUP+kvECVJekX12uDSZgMop4aFWZXJS+t3iPXKaF5fX1WzZ/3QzNv1G49mLPovw0vSGNVrQ8jXw8IaG0z9GMrXkfU/5aEklZ2X3NDOH/1f62FhIwy4fU7/x0cz/dFv3qXZvrJcj5HIwsLGGvC5o9/6OoAkTVW91ncZHsqXM77UYyQySfpI9doQ0mbN9rlW+g4HSbJVvdZ3OV6jDG9bzY71RLPOpf+0MC7uddU9UmdnZ32HI/yPycjIwM7ODt/0VZjZWtS4f0FGHtvsFpCeno6trQFc0E9BjHQhCIIgCIIgCIIgCIIgCIIgCIIgCIIgCP+fvfuOj6LaH///2nTSaWn0jhhqAiTU0AwK0pUrFpp6E8ErKF9BQYHLFRB/HyMgevWKFAuCV6QIiaELBJEiCZDQEwghCQkhnfT9/bFpm0JC2N0Zru/n47EPdmcnO29mzsw5c+Y9Z4TB6Ua6qDkt4VEe6UKSLoQQQgghhBBCCCGEEEIIIYQQQghhcH+Fx4sYLemisLCQxMREEhISiI+PJyMjg5ycHHJzc8nLy8PKygpra2tsbGxwcHDA3d0dNzc3XF1dMTd/dFeoEEIIIYQQQgghhBBCCCGEEEIIISTpok5iY2M5c+YMkZGR5ObmVvpeW+7B55oqHsRubW3N448/TteuXWnWrJmhwxNCCCGEEEIIIYQQQgghhBBCCCGECRTVMumiSJIuICUlhV27dhEdHQ3oJ1dUpNFo0Gq1Vc6Tk5PD6dOnOX36NC1btmTkyJE0aNDAUGEKIYQQQgghhBBCCCGEEEIIIYQQwgQKMEdTi4SKgr960sXvv//Ovn37KCwsLE2kqGoUi/Lu933Jb0RHR/P5558zePBgfH19DRGqEEIIIYQQQgghhBBCCCGEEEIIIUygEHPMapGW8Jd+vMj+/fs5cuRIlckW9xvtojoajab0N7RaLQUFBezZs4esrCyGDh36sOEKIYQQQgghhBBCCCGEEEIIIYQQwgR0SRc1J1T8ZZMuIiIiOHz4MIBeosTDKP/35X8zLCyMxo0b07Vr14f6fSGEEEIIIYQQQgghhBBCCCGEEEIY318h6cKsrn947949goODK41MAWWjVTzMq+LvabVaQkJCuHfv3sP+n4UQQgghhBBCCCGEEEIIIYQQQghhZAWY1/r1qKpz0sWxY8fIyckBdMkRWq22UsJEXV9Q9cgZubm5/P7773X+zwohhBBCCCGEEEIIIYQQQgghhBDCNIqwoLAWr6KHe0iHouoceURERGliBOgnSVhbW9OuXTs8PDxwcXHBwcEBOzs7LC0tMTc3x9zcnMLCQgoKCsjPzyczM5PMzEwSExOJi4vjypUr5Ofnl45wUfL7Wq2WM2fOMGjQoIf8bwshhBBCCCGEEEIIIYQQQgghhBDCmAoxR/M//niROiVdJCcnk5aWVppoUZIQodFo6N+/P/3798fS0vK+v1GSfGFtbY29vT0Abdu2BSAvL49Dhw4RFham99sAGRkZJCcn06hRo7qEjlbbrk5/Zwxa7ZNKh6BH+5nSEejTascpHQJnz54tfa/VTlEukCpotY8pHYIerYe10iHoUcP+pV9+hioYiT6ttrfSIehRXzxdlA5Bj1b7tNIhVCjLfsoFUoVyA2Kpgnar0hHo02onKrp8/bLzpoKRVKaGeqI8bYrSEehTy74eGxtLamoqERFKRwI3btwofa9dqmAgVVBf3aV8O76EVhuodAj6x8J0BQOpglb7vNIh6FHdsVkF7VT9ulQ9+xaosW5XTzxqaMOXp4Z6Xa3nxwBa7f37ME1NfeVH+X1L3f1zyq+f8tRQd5XQaucrHYLKy46y5+sVqa+d8bbSIehRw7FZvzw7KhhJZWpqx6vvnEv5Y2F8fLzSIQhBIWa1TLqo80M6FFenpIvExES9zyVJEQMHDmTgwIEPHZSVlRXDhg3D3Nycw4cP642oUbL8uiZdCCGEEEIIIdQvNjaWr7/+WukwKnF2dlY6BCGEEEIIIYQQQgghHhkFmEMtki4KHnKki+XLl/POO+/wxhtv8MknnwCQk5PDW2+9xQ8//EBubi7+/v589tlnuLq6lv7djRs3CAwM5MCBA9jb2zN58mSWLVuGhUXtUynqlHSRnl45VUyj0eDr61uXn6tWv379OHr0aOkjRu63fCGEEEIIIcT/jtTUVAC8vb1p3ry5ssEUc3Z2plmzZkqHIYQQQgghhBBCCCHEI6MQCzS1SEsorFvqAgAnTpzgiy++oEsX/RFhZ8+eza5du/jxxx9xcnJi5syZjBs3jqNHj+qWWVjIiBEjcHNzIywsjPj4eF566SUsLS1ZurT2w93WKfL8/PxK0+zt7bGysqrLz1XLysoKe3t7MjIyalx+bWl+e9ioHo52QNn7CgN4KKJ8PotG851ygRQrP7ytRnNQuUCKRUQ0LH2v0ZxWMBIdrbZH6XuN5rKCkeiUf1yPRvOVgpHoaLUvl77XaI4qGIlORETZMG8azU4FI9EfAk9tx57FKghoYbmANJr1ygVSrPyQlxqN8mPqR0SUbSON5nMFI9EpP1S8RqP88zzKD8Gp0WxWMBKd8kOUKl2eIyK8St+rb92ord5ar1wgxfSPPcrWWwARES0BaN68OV26tFA2GPSHb9VolE8C149Hbe14Zfcv/X1L+WNPRESn0vfqKzs3FYxER6ttWvpeo4In5WjLNb00mijlAikWoReP8sdm/fOK9coFUky/7lL2WKh/HFTbcfljBSPRiYgYVvpeozmuYCQ65R/BoL6yrLb1o3w8ERG2pe81KhhRv/zQ9Sro0qjQv6vsObLazo/122HrlQukmJrqLahYV6itf0X5uqv844PUV54PKhdIsfKPL1N6/9Lft9YrFkcJ/XjuKRdIsVu3lI5ACCjCnMJajGJRVMeRLjIzM3n++ef5z3/+w7/+9a/S6Wlpaaxdu5bvv/+ewYMHA7Bu3Toee+wxfv/9d3x8fAgNDSUyMpK9e/fi6upKt27dWLJkCXPnzmXRokW1zn+o04NRqhpKIzs7u9KIFA9Lq9WSnZ1dq+ULIYQQQgghhBBCCCGEEEIIIYQQQj0Ki5MuavMC3VMvyr9yc3Pv+/szZsxgxIgRDB06VG/6qVOnyM/P15vesWNHmjdvzrFjxwA4duwYnTt31nvciL+/P+np6Zw/f77W/8c6JV3Y2dlVmlZYWPhAC66Nc+fOUVBQUKvlCyGEEEIIIYQQQgghhBBCCCGEEEI9HjTpolmzZjg5OZW+li1bVu1v//DDD5w+fbrKeRISErCyssLZ2VlvuqurKwkJCaXzlE+4KPm+5LvaqtOQEY0aNdL7rNFo0Gq1/PLLL9jZ2dGqVau6/Kyea9eusWvXLjRVjNFWcflCCCGEEEIIIYQQQgghhBBCCCGEUJcCzNDW4tEhhcXjRcTGxuLoWPZcOWtr6yrnj42N5Y033mDPnj3Y2NgYJtg6qlPShbu7O9bW1uTl5QG6x4BoNBpyc3P55ptvaNWqFZ06daJJkyY0btwYc/OaV2JBQQFJSUnExcURGRlJTExM6e+WZ2Vlhbu7e13CFkIIIYQQQgghhBBCCCGEEEIIIYSJFGJBbdISCovncXR01Eu6qM6pU6e4ffs2PXr0KPuNwkJ+++03Pv30U3799Vfy8vJITU3VG+0iMTERNzc3ANzc3Pjjjz/0fjcxMbH0u9qqU9KFmZkZjz32GGfOnClNiihJkNBqtURHRxMdHV06f7169bCzs8PS0hILCwvMzMwoLCyksLCQvLw8srKyyMnJ0VtG+d8r/+9jjz2GmVmdnooihBBCCCGEEEIIIYQQQgghhBBCCBPRPTakNiNd1DxPeUOGDOHs2bN606ZOnUrHjh2ZO3cuzZo1w9LSkn379jF+/HgALl68yI0bN/D19QXA19eXDz74gNu3b+Pi4gLAnj17cHR0pFOnTrWOpU5JFwB9+vQhPDwcKHu8SMX3JbKzs8nOzi79vkTF+corma/8/BqNhj59+tQ1ZCGEEEIIIYQQQgghhBBCCCGEEEKYSFEtky6KHjDpwsHBAU9PT71pdnZ2NGzYsHT69OnTefPNN2nQoAGOjo68/vrr+Pr64uPjA8ATTzxBp06dePHFF1mxYgUJCQksWLCAGTNmVPtYk6rUOemicePG9O7dm99//11vtAug0iNByn9XMdGiqnkr/lbJKBe9evWicePGdQ1ZCCGEEEIIIYQQQgghhBBCCCGEECZSgDlmRki6qI2goCDMzMwYP348ubm5+Pv789lnn5V+b25uzi+//EJgYCC+vr7Y2dkxefJk/vnPfz7QcuqcdAEwdOhQEhISiImJ0Uu8KJ9YUdWIFdW5X0JGixYtGDp06MOEK4QQQgghhBBCCCGEEEIIIYQQQggTKcQcbS3SEgyRdHHw4EG9zzY2NqxZs4Y1a9ZU+zctWrRg9+7dD7Vcs4f5Y3Nzc5577jnatWunNzJFxUeI1PZVovxvaLVa2rZty3PPPYe5ueGzW4QQQgghhBBCCCGEEEIIIYQQQjw6NBoN27ZtUzoMUQuFmNf69ah6qKQLACsrKyZNmsTTTz+NjY1NpeSL8q+qVDefVqvFxsaGkSNH8vzzz2NlZfWwoVYS4A7hPSCtj+4V1g2G1y/73loDn7aFZF/I6Av/fQxcLCv/zmRX3e/c6weJPrq/qav+/WHHDoiLA60WRo/W/37sWPj1V0hO1n3ftWvl33B1hY0bIT4eMjPh1CkYN67uMZUXENCO8PCnSEt7lrS0ZwkLe4Lhwz0AqF/filWrvLlw4Wmysydy/foYVq70wtGxipVmAAsXtkSr9dN7RUX10pvHx8eRffu6kpnZn7S0fhw61A0bm4cu9tXy8LDkm29akpzchezsbkREPIaXl63ePB072rB9e2tSU7uSmdmVP/7oQLNmhl9H0dEt0WrbVXp9+qnuET2tW1uydas7t2+3Ii2tNZs3u+HiYryD2bx5Xfnjj9Gkp79EYuLz/PzzUNq3d6o0n4+PC/v2PUVm5mTS0l7i0KER2NgYJy4PDyu++aYdycm9yM72ISKiG15e9qXfjx3bgF9/7URyci+02r507WpnlDgqmju3LVrt0wQFPa433cenPvv2+ZKZ+SRpacM5dKiPwcpzTccegMWL4dYtyM6GPXugbYVjXffuEBoKd+/qjlFffAF2dVxlVvb2+AcF8UZMDO9mZzPt6FE8vL1Lv1+o1Vb56jNnTtn/6d13mXb0KO9mZTH37t26BVKFefM688cfI0lPf57ExIn8/PNg2rd31JundWsHtm4dxO3bfyMtbRKbNw/ExcXGYDGUFx3dEa22S6XXp596UL++OatWeXDhQgeysz25fr0jK1d64OhovOPgvHnd+eOP8aSnTycxcQo//zyc9u2dS7+vX9+aVav6ceHCc2Rnv8L16y+wcmVfHB0NX89XZe7c9mi14wgK6lIcjyWrVnXlwoVhZGeP5vr14axc2QVHx4caDKxaAQFtCA/3Jy1tHGlp4wgLG8Lw4W568/j4NGTfPj8yM8eTljaOQ4cGGe04GBDQgfDwUaSlTSItbRJhYU8xfHiT0u+trc359NPeJCf/jYyM5/nvf/2MVpZ18ahr/dSm7jpwYARa7ct6r88/72vwWGraVq+80p4DB4aTljYJrXYKTk6m2adKKFF3VWRvD0FB1sTE2JOd7cDRo7Z4e5ctS6t1rPI1Z45x1lVN8QB07GjG9u31SE11IDPTgT/+sKNZs5pHCHxQ92vDAxw4MBSt9nm91+ef97rPLz6cmvatFi3sK+1XJa8JE1oZPJ77HXtatLBFq51Y5WvChKYGjwXUVXbMzOCf/3Tk2jU3srObcOWKGwsWOOjNo9U2rfI1Z459Nb9ae/29YMdqiNsL2ggYPajyPB1bwfZVkHoUMo/DH99DM7fK8wHs/qz636mL6Og2aLWPVXp9+qlr6Tw+PvXYt685mZkdSEtrz6FDLbCxMfy2qkpVx+Z//7sLV64MJjv7KW7ffoJt23rSocPDb6uq1Kbd7Opaj40b+xMfP5HMzOc5deppxo1rYZR41NSfUVM8Fe3ePQit9nlGjzbOcQegf/8m7Ngxmri4V9Fq32T06DZ63y9c6EtU1BQyM18nJeU19uwZT69e1exsBqDrX2lDcnIPsrN7EhHRGS+vshPMdetao9X21nsFB3cwSixqbIfVtH4WLmxCVFQXMjO9SUnxYs+ejvTqZbw+jfvFY2GhYfnyZkREdCYz05u4uO5s2NAad3fD7F/9+8COzRB3EbTpMHqE/vcL34Gok5AZDynXYc926OVd9W9ZWcGfR3S/07VzHeMxQN9uebt3V99P87CUPj8GdZ0DSr1VUzytCA8fQlra06SlPU1Y2ECGDy9r87RubcfWrT7cvj2CtLSn2by5Fy4u1kaLB9RVd9VUll1dbdi4sTfx8aPIzBzPqVNPMG6c8er1+107adHCptJ3Ja8JExobJR717V/K1u39+5uxY4cVcXE2aLX1GD26cj/J4sUW3LplQ3a2DXv2WNG2rf45RP368O23lqSl2XD3rg1ffWVZ5754NZkyZUqV142vXLlS5fzx8fE8+eSTJo5S1IUkXTyAHj16MHPmTPz8/Khfv/59R7CoKhGj/PzOzs74+fkxc+ZMvLy8DBViJTdzYV40eJ0G7z9hfypsfxw6FV8jD2oDTzeAZ6JgYDh4WMPWTvq/MbsJfNASlsfC4ydh6Fn4NaXuMdnZQXg4zJhR/fdHjsDcudX/xsaN0KEDjBoFnTvD1q2wZQt061b3uErcvJnNvHln8PIKxts7mP37E9m+fQCdOjnh4VEPD496zJlzGk/PXUyZcozhwz1Yu9bn4RdcjXPnsnBzCyt99ev3Z+l3Pj6OhIR0ITT0Lr16naJnz1N8+mkcRUXa+/xi3Tk7m3P0aHvy87U8+eQVOnWK5K23bnL3bkHpPK1bW3HkSHsuXMjFz+8SXbpEsWRJAjk5ho+pZ89Y3Nyulb6GDr0JwI8/ZmJrqyE01AOtFgYPjqNv35tYWWnYudODWjwJqE4GDnRjzZpIfHx2MGxYMJaWZoSGDsfWtuzEzcfHhZCQ4YSG3qRXr+307LmdTz+NNMo2022vzsXbK5JOnf7krbdi9LaXnZ05R45kMHfudYMvvzre3k78/e8tCA9P05vu41OfkJDehIYm0avXYXr2PMynn0ZTVGSY5dZ07Hn7bfjHPyAgAHr3hqwsXSeBdfG5k7s77N0LV67ovh8+HB5/HNavr1s8T3/1Fa2HDePnF1/k886duRoayot79+LgoTu5/P/c3PRe26dORVtURORPP5X+hrmVFZE//sjJzz+vWxDV0JXlC/j47GLYsFAsLTWEhj5RWpZtbS0IDR1WvH+F0LfvbqyszNm5c4hR9q+ePS/j5hZZ+ho69BoAP/6YhoeHBR4elsyZcwtPz0tMmRLL8OEOrF1rvJO6gQM9WLPmHD4+Wxk2bGfxvj6ydP14eNjh4WHHnDlheHpuZsqUAwwf3py1a/2MFlMJb+/6/P3vrQgPTy2dpqu7bJgz5yyennuZMuUUw4e7snatcdofN2/eY968CLy8QvH2DmX//tts396PTp10J5o+Pg0JCRlAaGgCvXrtoWfPPXz66RWj1V03b2Yxb94pvLx24u39C/v3x7N9+2A6dXIGICioJ08/3YxnnjnIwIEheHjYsnWrga5UVRmPutZPbeougC+/vICb23elr7ff/sPgsdS0rWxtLQgJiWPp0rMGX3ZNlKq7Kvrqq3oMG2bBiy/eo3PnTEJDC9m71w4PD93B180tQ+81deo9ioq0/PRTviLxtG6t4cgRWy5cKMLPL4suXTJZsiSXnBzDx3K/NnyJL7+8jJvbT6Wvt98+bfhAitW0b8XGZuntU25u3/H++6fIyMgjODjW4PHc79gTG3sPN7fteq/33z9LRkY+wcEJBo8F1FV25s51IDDQjpkzU3nssQTmzk3j7bcdeP31sov0bm639F5Tp6YU71v3Hnr5dvUg/CLMWFr1962bwpENcCEa/KZDl/Gw5EvIyas876wXdBetDKlnzxjc3C6VvoYO1Z03/PhjBqBLuAgJaUZoaBa9ekXTs2cMn36aYrTjYHnVHZtPnUpl6tQzPPbYAfz9j6PRQGioD2ZGyIerqd0MsHFjPzp0cGTUqH107rydrVuvs2XLQLp1a2DweNTWn1GbYzPArFkdKz2O1xjs7CwJD09ixoz9VX5/6dJdZs7cT+fOG+nXbzMxMemEho6nUaN6Bo9Fd77+ePH5+kU6dYrgrbdu6J2vAwQHp+Lmdrr09dxzVXfGPyy1tcNqs34uXcph5swYOnc+S79+kcTE5BIa2pFGjQx/8bymeGxtzejRw44lS+Lo0eMc48ZdpkOHeuzY0d4gy7ezg/BzMOOtqr+/dAVmzoHOvtDPH2JuQOjP0Khh5XlXLIFbD1m9G6Jvt8SsWYavu0qo4fwY1HUOKPVWTfHcY968c3h57cfb+wD79yexfbsvnTo5YGtrTmhoX7RaLYMHH6Zv30NYWZmxc6ev0fqaQV11V01leePG3nTo4MCoUUfo3DmErVtvsmWLL926ORs8lhLVXTuJjc3Rm+7mFsb770eTkVFAcPBDXNy6D/XtX8rW7bq6oogZM6o4cQHeftuCf/zDgoCAPHr3zi3ui7cq7YsH+O47Kx5/3Ixhw3IZOTKPAQPM+PJL4yVemdLw4cOJj4/Xe7VqpX8DRl6ebt25ublhbW3cBC9hGIVF5rV+PaoM2tK2tbVl4MCBDBw4kNjYWG7cuEFCQgLx8fGkp6eTn1+5Q9PS0hJHR0fc3d1xc3OjefPmNGvWzJBhVeuXCvXHghgIdAcfR11CxnQ3mHQBDqTqvp96ES70hN4OcDwDnC3gXy3h6fO6hI0SZ7PqHlNIiO5VnW+/1f3b4j4Jfn36QGAgnDih+/zBBzB7Nnh5wZkzdY8N4Jdf4vQ+L1gQTmBgO3x8GvH111eZMOFw6XfXrmUyf344337bB3NzDYWFhm8MFxRoSUysumIKCmrLqlU3+fDDG6XTLl16+I6/6syd60psbD7TppVdoI+J0Y/tgw882L07jblzy9bjtWtVx/+wkpML9T7Pm2fHlSt5HDp0j2HDbGnZ0pLu3WPJyND1+E2enMjdu60ZPLge+/YZfj09+eSvep+nTPmNpKQX8PJqxOHDujPaoCAfVq06z4cfRpTOd+mSfiehocyd25TY2FymTSvrlImJydWb59tvkwBo0cI0lbadnTnffdeDV14JZ8GCdnrfBQU9zqpV0Xz4YVm8ly49xMGmgpqOPbNmwb/+pbtbA+CllyAxEcaMgc2bYeRIyM/XdSqUdAgEBMDZs9CmDVy9WvtYLGxs6DR+PD+MHs2Nw7pjyqHFi2n/9NN4BwZy4L33yEpM1PubDqNHE33gAKnR0aXTDi5aBEDXyZNrv/BaePLJPXqfp0w5QlLSc3h5NeTw4UT69nWhZUt7unffSUaGrt6bPPkwd+9OYvBgd/btizdoPJX3dQeuXMnl0CFd+ZgwoeyYdO1aHvPnJ/Dtt80wN4dC/T81iCef3KX3ecqU/SQlTcXLqzGHD8dz/nwKEyaUHQ+uXUtn/vzjfPvtUKPVFVCyf3nzyiunWbCgY+n08+fTmTDheLl4spg/P5Jvv/U2Sjy//HJL7/OCBWcJDGyDj09DIiPTCQrqzqpVl/nwwwul81y6lGHQGPTjuVkhnj8JDOyIj09jbt7MYvr0dkya9BsHDuiO01OnHuXChbH07t2Y48eTjBCPutZPbeougOzsAhITjdfGgPtvq8jIVFaujAR0HRmmpGTdVZ6NDYwfb8Ho0fc4fFh3cFu8OJenn7YgMNCK997LJTFRf38ePdqCAwcKiY42/HGnNvF88IENu3cXMHduWfvj2rWC6n7yodyvDR8ZqWtrZWcXkphohKv2Vahp3yoq0lbap8aObcGWLdFkZRl+HdV07Km4XsaObcqWLbFGiUVtZadPHyu2b89h927dOrh+/R7PPVePXr3KOvMSE/UzCEaPrseBA7lERz98QyPkiO5VnQ9eh92HYW5Q2bRrNyvP17UDvDUZvP8GCQceOqxSVbfD8jh0KBuAoCBXVq26y4cf3imd59Il45z/lXe/Y/N//lN2fnz9+j0WLLhARIQfLVvacu1atkHjqKndDNCnjwuBgcc4cSIZgA8+iGD27E54eTXkzBnDdvqrrT+jNsfmrl3r89Zbj+HtHUxCwniDx1BeSEgMISEx1X6/adMFvc9vvnmIl1/uTJcujdi/37AJcXPnehSfr18rnVbxfB0gN7eIxETjJE+Wp7Z2WG3Wz6ZNd/Q+v/nmDV5+2YUuXWzZvz/dpPGkpxfyxBP65WfmzBhOnPCkWTMrYmMf7rgYskf3qs6mH/U/v/kuvDwZunjC/kNl04cPgycGw/gX4KknHiIeA/Ttgm4EjLfeAm9vSDBwnqdazo9BXeeAUm/VFI9+QVywIJLAwNb4+DSgSZN6tGxpR/fu+8nI0LVLJ08+yd27TzN4cGP27TN8/wGoq+6qqSz36dOQwMBTnDihKycffBDJ7Nnt8fJqwJkzqQaNpUR1106Kiqg0fezYRmzZkkRWlhE6C1Hj/qVs3R4SUkRISPWZ2LNmWfCvfxWwY4dunpdeyiMx0YYxY8zZvLmQjh01PPmkOd7eOZw6pQW0vP56Prt3WzFnTj7xhu1+Njlra2vc3PTXvZ+fH56enlhYWPDtt9/SuXNnDhw4gEaj4eeff2bMmDHKBCtqrbDAnKKCmhMqtLWYR62MNr54s2bN6Nu3L+PHj2fmzJm8++67vPfee7z99tvMnj2bt99+m/fee493332XmTNnMn78ePr27WuyhIuKzICJjcHOHI6lg5cDWJnB3nIj0l+8B9dzwLd41KNhzmCmgSZWEOkNsb1h82PQVOGkqrAwmDhRN7yQRqN7b2MDBw8adjlmZhomTmyBnZ0Fx45V3XBycrIkPT3faBfR2rWrR1ycL1ev9ubbbx+jWTPdym/c2BIfH0du387n6NHuJCT04eDBbvTtW/lxFoYyapQTJ09msWVLKxITO3P6dEdefrksbV6jgREjnLh0KZeQkLYkJnbm9987MHq08WIqYWkJL7zgyNdf606sra01aLWQm1u2XXJytBQVQb9+hs/0rUrJkFwpKboT8caNbfDxceH27XscPfo0CQnPc/DgCPr2db3fz9TZqFENirdXBxITe3L6dFdeftk4y6qtNWs6s2vXbfbtS9ab3rixFT4+9bl9O5ejR/uSkPAEBw/2oW9fw2f5VqVVq7KRLEqkp8Px4+Drq/tsbQ15efp3YNwrvlbSr9+DLc/MwgIzCwsKKtyuWXDvHs2r+DE7FxfajRjBn2vXPtiCDKRiWba2Nivev8pOUnJyCikq0tKvn3HLmKWlhhdeqM/XX1d/IuLkZE56epFREi6qXp7++ql6HmvS0/OMVlcArFnTjV27Emp1oq+ruwqMGg+U1KPNiuvROzRubI2PT8PifX0ICQmjOXhwEH37NjJqHPrxtCqO5zZeXg2xsjJn796yM7WLF9O4fj0TX1/jDDdZOR71rB+ovjw//3wbkpJe4OzZcSxd6k29esY9Oai4rZSklrrLwkI3dHXF0cPu3dPSr1/l7eHiomHECAvWrjXOxc+a4tG1Cy24dKmIkBBbEhPt+f13O0aPNt7QzSWqa8M//3xLkpLGc/bsCJYu7Wb0clxeTXVFjx4N6d69EWvXXjR6LBWPPZVjqU/37vVZu/ZaFX/98NRWdsLC8hgyxJp27XS/36WLJf36WRMcXHWCjouLGSNG2LB2rXESrMrTaGDEALh0HUI+h8SD8Pt3lR8dUs8Gvl8OMz6AxMqb1GDKzrlSAWjc2Bwfn3rcvl3A0aMtSEhox8GDzenb1/jnW9UdmyuytTVn6tTmXLuWRWyscZMHoep9PSzsNhMntqJ+favi/otW2NiYc/CgcUaSKaGG/oya4qlXz5zvv+/LjBknTJYUV1uWlma8+mpnUlNzCA83/IW0UaPqF5+vtyUxsQenT3vy8suV259+fo4kJvbgwoUufPZZSxo0MFU9qmw7rLbrp4SlpYZXX21MamoB4eGGTa6qSzygOy8tKtKSmmqiE9Nilpbw6hRITYXwcjcvuzSG/6yCF1+FbOMfDmtUrx58/73uxpYK95wYhBrPj0F954BSb90vHpg4sSl2duYcO5ZS3BemJTe37CJyTk5RcV+Y6c7Z78fYdVd5VZ1ThIXdYeLE5uXKTrPismO8uqS6aycV9ehhT/fuDqxda7or9erbv9TRxwLQqpUGd3cNe/eW1ZG6vvgifH11l3R9fc24e1dbnHChs3dvEUVF0Lu38R4rrbQNGzZgZWXF0aNH+fe//610OOIBFRZY1Pr1qDJp5GZmZtSrV4969UxzUbc2PG3hWHewMYPMQhh7HqKyoZsd5BZBWoW2f2IeuBU/vql1PV2yxrvN4Y2rkFagG/liT2focgryjd++qdKzz+ruPE9J0d15np2te17gg9xpfj+ens4cO/YENjbmZGYWMHbsb0RFVc6Sb9jQmvfe68yXXxpneMfjx9OZMuUCFy9m4+5uxcKFLTl8uDuenido3VpXxhYtasmcOVc5cyaTl15yZd++rnh6nuDKFcOfQbVubU1gYGM+/vg2S5cm0LOnLatWNSMvT8vGjSm4uFjg4GDOvHmuLFgQz9y5cQwf7sjWra0ZNOgyv/2WafCYSowZY4+zsxnr1+u20++/55CVVcSHHzbk3XfvoNHA8uWNsLDQ4O5u/MOCRgOffOLDkSMJnD+vy2xq3Vr3bOhFi3owZ85xzpxJ4aWX2rJv31N4ev7ElSuGvROjdWsbAgPd+PjjOJYuvUnPnvasWtWKvLwiNm40bsO7KhMnetCjhxM9ex6u9F3r1rpnHi1a1IE5cyI5cyaNl15qxr59Pnh6HuLKFeN2apcklVY80U9MLPtu/374+GOYMwdWrtQNkbZ8ue47d/cHW15eZiaxYWEMeO89kqKiyEpMxPO552jq60tKFc9u6zp5MnkZGURt3fqA/7OHpyvLvThyJJHz51MB+P33JLKyCvjwQ2/effcUGo2G5cu9sLAww93duPXfmDGOODubs3793Sq/b9jQnPfec+HLL414xaEc3frpy5EjuhEuqo7Jhvfe8+LLLyONFsfEiU3p0cOZnj1rvrW1YUMr3nuvI19+GV3jvHXl6enEsWNDytWjR4mKSqd3b12i3qJFjzNnTjhnztzlpZdasm+fH56eIVy5Ypx6QlevjygXz36iotLo1q0BubmFpKXpX5ROTLyHm5vxyrLa1k+JquougO+/v8L165ncupVNly4N+PDDXnTo4Mz48Xvv82t1U922Uoqa6q7MTAgLK+C996yJirpHYqKW556zxNfXnCtXKt89MnmyJRkZsHWrcUYHqCkeFxcNDg4a5s2zZsGCXObOLWD4cAu2bq3HoEHZ/Pab4S9A3K8N//33MVy/nsWtW/fo0sWZDz/sTocODowfX3nbGlp1+1Z506d3IDLyrlE7wKo79lSOpTWRkWlVJmQYgtrKzvLlGTg6arhwwZXCQjA3h/nz0/n++6rPpyZPtiUjQ8vWrca/YuXSABzsYN50WLAa5n4Cw/vC1iAYNB1+O6WbL+j/QVg47Dho3HjGjHEobofpjsutW+tGA1m0qBFz5tzmzJkcXnrJiX37muPpeY0rV4xzd/79js0lAgNbsGJFJ+ztLbhwIZNhw34n38gdGFW1mwGeffYQmzcPJCVlEvn5RWRnFzB27AGuXjXOXcxq6c+oTTxBQV6EhSWxY0cVw7coZMSIVvzwwwhsbS2Jj89i2LCfuHPH8Akhuv4VVz7+OJ6lS2/Rs6cdq1a1LO5f0SUThYSksnVrCtHRubRpY8PSpc0IDu6Ar+95ozzCR03tsNqsH4ARI5z54Ye22NqaER+fz7BhF7hzx/Btn9rGU8LaWsOHHzZn06Y7ZGSYJulixHD44WuwtYX4BBg2Bu6UO0Vd/2/499dw6k9o0dwkId1XUJDuprqS0UYNSW3nx6DOc0Cpt6qLx5Fjx/ywsTErjud3oqIySErKJSurkA8/9OTdd88X9zV7FveF2Rg1ppqYqu6C+59TPPtsGJs3+5KSMrZc2TnC1avGKcf3u3aSmal/7J0+3Z3IyCyOHTNs/3t11LV/qaNuL8/NTfdMnoqjdSYmakv74t3cNNy+rf99YaHummDJ3z/KfvnlF+ztyx5p+eSTTwLQrl07VqxYoVRY4iEVFpihqdVIF49u4tCjmy5iIBfvQbdT4GQBExrBhg4wMKLmvwNdwoWVGfzjKuwp7h987gIk+MAgZwitus/Q6JYsAWdnGDIEkpN1w/9v2QL9+8O5cw//+xcvptOt226cnKyYMKE5Gzb4MnDgHr0Gn4ODBbt2+REZmcaiRbVcoQ8oJKTs7Ojs2SyOH8/g+nUfnn22MVFRusz9L764xfr1ukzIM2cyGTKkPtOmufHuu4Y/WTAzg5Mns5k//1bx8u7h6VmPgIBGbNyYgpmZrrLbvj2NTz7RdRiHh9+jTx87AgIaGTXpYvp0R4KDs4iP1zWokpMLeeaZBD7/vDH/+IczRUWwaVMGp07lGOWZiBWtWdMXT8/69Ou3s3Rayfr54osLrF9/GYAzZ+4wZEgTpk1rz7vvnjRoDLrtlcn8+TeKl5WFp6ctAQFuJk+6aNrUhpUrPRk27JheRnhZrCXr5jrr18cWx3ueIUMaMW1aM95990KlvzG1yEiYPFmXeLFsma6Rt2qVbgjMunR4/fzii4z6+mveunWLooIC4k+f5tymTbh7VX6OaPdp0zj73XcU5lY/koKxrFnjU1yWd5dOS07O5ZlnDvL55z784x+PUVSkZdOmaE6dSjb6/jV9egOCgzOIj6/ckebgYMauXa2IjMxh0SIj3CpThTVrBuDp2YB+/bZV+b2DgyW7dj1FZORdFi0y7D5eomnTeqxc2YVhw45UuX/px2PBrl19iIxMZ9GiKKPEA3DxYgbduoXi5GTJhAlN2bChFwMHHih9lvoXX1xl/XpdPXXmzBmGDHFl2rRWvPuucZ4jqavXdxTX6y3YsKE/AwcGG2VZtYtHXeunRFV1F8B//lN25/25c3eJj89m//4RtG7twLVrhu0YqG5bKdEpoMa668UX7/H11/W4dcuBggItp08XsWlTPl5elU/opk2z5Lvv8jFm1XG/eErK8/btBXzyiS6xKTw8jz59zAkIsOK33wx/wfp+bfj//Kesc/bcuVTi4++xf/9QWre259o14yY0VbdvlbCxMWfSpDYsWXLGqHFUd+wpf46ji6U5S5YYL1EQ1FV2nn22Hs8/b8ukSSmcP59Pt25WfPKJE7duFbJxY+W7padNs+O777KNum+VKF0XB+CT4qHawy9Cn24Q8Kwu6eJpPxjcC7o/a/x4pk93Jjg4s7QdVnYcTC1NxDhz5jZDhtgxbZoz775r+HOOmo7NJb77Lo49e5Jxd7dmzpw2bNniRd++R2tsKz2MqtrNAEuWdMfZ2YohQ34lOTmHMWOas2WLH/377+bcuVSDx6GW/oya4mnb1oHBg13p3l25NllVDhyIpVu3b2nUqB6vvNKZLVtG0rv39yQlGfbYoztfz2L+fF3CyZkz2cXn6y6lF/E3by7rEzp37h4REdlcu9YNPz9Hgz8+A9TVDqvN+gE4cCCdbt3O0qiRJa+80pgtW9rSu/d5kpIMm3hR23hAN5rTli3t0GggMDDGoHHcz4HfoFs/aNQQXpkMW9ZD78GQlAyvB4CDPSz7P5OFc19PPw2DB0P37ob/bTWeH4M6zwGl3qoungy6ddtXvK2asGGDNwMH/kZUVAbPPHOczz/vxj/+0aa4L+wmp07dNUlf8/2Yqu6C+59TLFnSubjsHCA5OY8xY5qwZUsf+vffz7lzhq9L7nft5Ouvy0aOsLExY9IkV5YsiTF4DNVR1/6ljrpd6Bs0aBCff/556Wc7Ozuee+45vKq4NiAeHYUF5rVMunh0Hy/yl0+6yNfC1eLExtOZ0NMB3mgCm5PA2gyczPVHu3C1goTiGz7ji/+NLHejXnK+7tVcoUeMtG4Nr78Ojz+uuwgKEBGhS7iYMQMCAx9+Gfn5RaUZmKdPp9CzZwPeeKMjAQF/AGBvb0FIyGAyMvIZO/YQBQWmaVilpRVw6VI2bdvWY//+VAAiI/U7AqOismne3DjZtfHx+URG6mfJRkXlMH68MwDJyQXk52urnKdfP3uMpXlzC4YOtWXcOP3hwfbsyaZt2+s0bGhGQQGkpRURH9+Ka9eM+zzU1at9GTmyGQMG/EJcXNn2iY/XvY+MTNWbPyoqlebNDb9+4uPziIzUb1xHRd1j/PiG1fyF8Xh5OePqas3p0wNKp1lYmDFgQENmzmxJhw66uw8iI/Uv3kVFZdC8ufFHDip5dqirq/5zRF1d4cyZss+bNuleLi6QlaV71Mibb8K1Ooy+fffaNTb4+WFpa4u1oyOZCQmM/+EH7lb4seb9+tGoY0f+O3Higy/kIa1e3bu4LAfrlWWAPXtu0bbtVho2tKagQEtaWh7x8RO5ds14d4c0b27J0KH2jBt3vdJ39vZmhIS0IiOjkLFjr1NgnBu79axe3Y+RI1swYMA24uIq39Fub29JSMjI4roihIIC43Ty6/YvG06fHlw6Tbd/NWLmzNZYW2+jqKik7upLRobuTg1j1l369ejd4nq0PcuX6zqyIiP1O4mjotJp3tzOyPFkFMdzh549G/HGG53YvDkaa2tznJys9Ea7cHWtR0KC8e5gVtv6gerrrqocP667iNa2raPBky6q21YBAccMupzaUGPdde2aFj+/bGxtwdFRQ0KClh9+qMe1a/rHl379zOnY0ZyJE417J/794klO1ha3C/XvMIqKKqrycSiGUFMbvrzjx3UXSNq2dTBq0kVt9q0JE1pha2vBxo2XjRYHVH/sCQgoSwqcMKEptrbmbNwYY9RY1FR2PvrIieXLM9i8Wbe/nDtXQIsW5rzzjkOlpIt+/azo2NGSiRMN+7zl6iTf1Y3sGFlhRMeoa9Cv+ELV4F7QphmkHtWf56eP4fBp3YgYhqA757Jj3LiyEQlKki8iI/UzUKKi8mje3NIwC66gpmOztfUuioogPb2A9PQCrlzJ4vff73L37nDGjnXjhx9u3efX6666dnPr1g68/vpjPP74ttLzwIiIu/Tv78qMGY8RGGj4+k1t/RnVxXPvXiFt2jiQmvqM3vw//dSfw4eTGDTI8CNq1UZ2dgFXr6Zy9Woqx4/Hc+nSVKZP92T58hMGXY6uf6Wq8/XqH1MWHZ1LUlI+bdvaGCXpQk3tsNqun+zsIq5ezeXq1VyOH8/k0qWuTJ/uwvLlht3XaxuPLuGiLS1aWDF48AWTjXIBulGAr17TvY6fgEt/wvSXYPnHMHgA+PaC3AqDcpw8BN9tgSkBJgsT0CVctGmjewRKeT/9BIcPw6BBVf5Zrajx/BjUdw4o9db94tFy9WpWcTyp9OxZnzfeaEtAwJ/s2XObtm1DadjQqrgvLJ/4+Ke4dk3ZEZtMVXdB9WV5xYooXn+9HY8/HlxaniMiUunfvxEzZrQlMPCUwWOpqPy1k/ImTGiMra0ZGzea5gYt9e1f6qjby0tI0O3Hrq6a0vcln8+c0ZbO4+KiP6KFuTk0aIDe3zyq7OzsaNu2bZXTxaOroMAcTb4kXdRJdrbugFmvXj00mroNZ5OVlUVycuVh6Fq0aPFQsd2PmQasNXAqA/KKYEh92FocQvt60MIGSkZZOlr8bwdbiCu+FlHfAhpZwnXT33AN6IbJg8p3lhcWlt0JZGhmZhqsrXU/7uBgwa+/DiY3t4hRow4Z9U6ZiuzszGnTph7ffJNITEwOcXG5dOig34ho374ewcHG6QQ8ejSLDh30Ezrat7fm+nVd4cjP13LiRBYdOlhXmMemdB5jmDrVkdu3C9m1q+phvO/c0W2jQYPq4eJizo4dxntUxerVvowd2xI/v13ExOh34MfEZBIXl0WHDk5609u3dyQ42PCN86NHM6rYXvW4rsDOu29fEp6eB/WmrVvXjQsXMvnwwytcu5ZNXNw9OnTQTz5p396e4GDjP2cuOhri43Wj54SH66Y5OEDv3lAu4bTU7eKQpk6FnBzYs6fuy87PziY/OxsbZ2fa+vuz5+239b7vPn06t06eJDHCuJn8Fa1e3ZuxY5vj5xdSqSyXd+eOrjwNGuSGi4sNO3bEGi2mqVMbcPt2Abt26XdGODiY8euvrcjN1TJqVAy5ucZveK9e3Y+xY1vh57eDmJjKF50dHCz59deR5OYWMmpUMLm5xuts0+1f+p3S69Z5ceFCBh9+eImiopK6q29x3XX/O0ONoaQejYnJIi4umw4dHPS+b9/egeBg0z1XUxePOadO3SEvr5AhQ9zZuvV6cSyOtGhhX+0zZI0Xj3Lr5351V1W6ddMl78XHG39o/ZJtpQQ1113Z2ZCdrcXZGfz9LXj7bf2E1+nTLTl5spCICNPs61XFk58PJ04U0qGDfgO9fXszrl83TQdJ+TZ8Rd266S6SGLMc13bfmj69Azt23CA52ThDAFenqvUzfXprduy4RXKyadqLaig7traaWp9bTp9ux8mTeUREGDeJu0R+AZw4Dx1a6k9v3wKuF1cLy9fCVxWeQHduK8z+CHYeMlwsU6c6F59zlZXlmJh84uLyqzj/syI42DjJTDUdm6sagU6j0aDRVH88eFj3azfb2urqsIp3wBYWao3Wf1GRWvozKsazcGEEX32lP0T8uXMjmT37NDt3qudxI7p4Dd+1WPX5us19z9ebNLGiYUML4uON179SnpLtsLqsH9Adu62tDT/keG3iKUm4aNfOhkGDokhJMcGdAPehWxe69/94GxYsKfvOwx1Ct8HEKXDcOAMy3tfy5fDVV/rTzp2D2bNhZ9UDg9Xao3B+DMqeA0q99aDxUKkNceeO7jg8aFBjXFys2bHDdP0ZtWGsuqv6ZZlha6tbXtVlxzSPgih/7aS86dPd2bHjDsnJxm/DPxr7l/IXe6OjtcTHaxkyxJzwcF19qeuLN+Pzz3Xb6dixIurX19Cjh4bTp3XrbPBgM8zM4Phx0x8LhKgNbaEF2sJaHH9rM49KGSzytLQ0Tp06xaVLl0hOTqao+GzewsICd3d3PD096datG5aWtb+j4+rVq2zbtq3S9Pfff98gMS9tCcF34UYOOJjDJBfwcwL/G5BeCGsT4OPWkJKv+7y6DYSlwfHi60eX78G2ZFjZBl69DOkFsKwVXMiGA6l1i8nODsoncLVqBV276p7FFBsL9etD8+bg4aH7vkMH3b8JCZCYCBcuwOXL8MUXMGcO3Lmje7zIsGEwcmQdV1Q5S5d2Izj4FjduZOHgYMmkSS3x83PF338/Dg4WhIYOwdbWnBde+A1HR0scHXXbOykp1+BDiX30URt27kzm+vVcPDysWLy4JYWFWjZtul38fSyLF7ckPDyLM2cymTzZlY4dbZkw4bxB4ygRFHSbsLAOvPOOK1u2pNKrly2vvtqIV1+9US7mRDZvbsVvv2Vy4EAmw4c78vTTTvj5XTJKTBqNLuliw4Z0Citc05wyxZGoqDySkgrx9bVh5crGBAWlcumScRpYa9b0YdKkNowevYeMjHxcXXUJMWlpeeTk6IL76KMIFi/2Ijz8DmfOpDB5cjs6dnRmwoR9Bo8nKOgWYWGdeeedpmzZkkyvXva8+qorr75adqtc/foWNG9ujYeHFUBpEk9CQh6JiYZbT5mZhZw/r39hOiurgDt38kqnf/TRVRYv7kB4eDpnzqQxeXIzOna0Z8IEw/QA1HTs+eQTWLBAd3yJjtY9xujWLSh/iJ4xQ/fM0cxM3THno49g3jxIq8OIbG2eeAI0Gu5cvEiDtm0Z9tFHJF+4wJl160rnsXJwoNMzzxD61ltV/oZjs2bUa9AAp+bN0Zib49q1KwApV66Qn1X35KI1a3yYNKk1o0fvIyOjoMqyPGVKW6Ki0khKysHXtzErV/YiKOg8ly4Z59mIun29Phs23NXb1x0czAgNbYWtrRkvvHAdR0dzHB113yUlFRjlWcdr1vRn0qR2jB4dTEZGXqX14+BgSWjo09jaWvDCC/sq1BWGf8RRZmYB58/rr/ey/Su9uO7qV1x3/Y6jowWOjhbF8eQafB0tXdqZ4OCEcvVoc/z8XPD31135+eijiyxe/Djh4amcOZPK5Mkt6djRgQkTjtbwy3WNpwfBwXHF8VgwaVJr/Pzc8PcPJT09n7VrL/Pxxz1JScklPT2f1at7ExZ2u3Q0B8PHo671U1Pd1bq1A5MmtWH37lju3MmlS5cGBAX5cOhQPGfPGjbJ837bCnQjkLi51aNtW12HZOfOzmRkFHDjRiZ37xr+4oMa6q6KnnjCHI0GLl4som1bMz76yIYLFwpZt66sznZwgGeeseStt4x/Ab+meD76KI/Nm+vx22+FHDhQwPDhFjz9tAV+fvcfTaUu7teGb93ankmTWrJ7963icuxMUJAXhw4lcvZsqsFjgdq1CwHatHFkwAA3nnrqV6PEUaKmY48uFnsGDGjMU0/9ZtRYQF1lZ+fOHObPd+DGjULOn8+ne3dL3nzTnq+/1l+Wg4OGZ56px1tvGXYoXrt60LZ52edWTaBrB0hJg9gE+Gg9bP4IfjsNB/6A4X3h6YHgVzyCReId3auiG/EQE2eYGHXtMGc2bEitdM710Ud3WLy4MeHhOZw5k8Pkyc507GjFhAmphll4BTUdm1u1smXiRA9CQ5NISsqjaVMb5s1ry717hezebfiEuJrazRcupHH5cjpffOHLnDknuXMnlzFjmjNsmAcjRxp+JAc19WfUFE9iYg6JiZXrqhs3soiJMc6NEnZ2lrRt61z6uVUrJ7p2bUxKSg537txj/vze7Nhxjfj4TBo1qseMGd1o0sSeH380fH9GUFACYWGdeOcdD7ZsuVN8vu7Cq69GF8dqxsKFTfjpp7skJOTRpo0NK1Y058qVHH791fBDgqutHVbT+rG1NWP+fA927EglPj6PRo0smDHDlSZNrPjxR8PfiFRTPBYWGv7733b06GHLyJGXMDfX4Oqq279SUnSjwj4MOzto27rsc6uW0LUzpNyFOykwfw7sCIb4BN3jRWa8Ak3c4cefdfPHVshjyizexa5GQ1wdBgV52L7dkldFN25ATMyDx1Oe2s6PQV3ngFJv1RTP48Xb6l7xsbAZfn6N8ffXbYspU1oQFZVOUlIevr4NWLmyC0FBV7h0yXgj56mp7rpfWb5wIZ3LlzP44gtv5swJLy47TRk2zI2RIw8bPBao+doJQJs29RgwwImnnjLu41pBjfuXsnW7rq4oS7hp1UpD166a4rpCyyefFLBggQWXLxcRHa1lyRJLbt3Ssm2b7oTjwgUtwcGF/Oc/VgQE5GFpqeHTTy354YdC4tWV5yREmQJz3as28z2iDJJ0cfToUQ4dOkRBQQFarX6Fnp+fT2xsLLGxsRw6dIgRI0bw2GOP1fq3K/5eXUfNqIqLFWzsAO5WkFYAEVngfxb2puq+n30VioCfOukeNfLrXXitwqi2L12EoDaw63HdvIfSYPg5qOtIXt7ecPBg2eegIN2/69fr7hofNUr3vsTmzbp/Fy2CxYuhoACeekqXFb1zJ9jbw5UrMHkyBBvgUaAuLtZs3OiLu3s90tLyiYi4i7//fvbuTWDgQBd8fBoBcPXqaL2/a9lyG9evG7ZjoGlTazZt6kTDhpYkJeVz5EgaPj6nS7MyV668iY2NGUFBbWjQwJLw8EyGDYvg2jXjdLKfPJnN2LFXWbasCe+/7050dB6zZt3k++/vls6zbVsaAQGxvPOOK6tWNePixRzGj7/G0aPG6TQZOtSWFi0s+frryhd6O3SwZNmyhjRoYE5MTD4ffJBCUFCqUeIAeO21TgAcOqSf/TNlyiE2bNDtWCtXnsfGxpygIB8aNLAmPDyFYcOCDT48O8DJk5mMHXuBZcta8P77zYiOzmHWrGi+/77sQuKoUQ1Yv75d6efNm3VnwosW3WDxYuONWFCVlSuji9fN48XlOZ1hw37n2jXDdK7XdOxZsULXGPzyS3B2hiNHYPhw9J7X3auX7jhkb69LAPv73+Hbb+sWj7WTE0OWLcOxaVPupaQQ9dNP7J8/n6Jyz8Xw/Nvf0Gg0nNu0qcrfGPTPf9JtypTSzwHFz0JZ7+fH9UN1v7Xxtdc6AnDo0JN606dMOcKGDbq70Tp0cGLZMi8aNLAiJiaTDz6IICjIeM9/HzrUnhYtrPj6a/0OtB496uHjoxt27erVjnrftWwZxfXrhk+yeu01TwAOHRqjN33KlP1s2HCRHj0a4+PjWhzT8xVi+pbr1w2/v99Pjx7O+Pg0KI7Hv0I8IVy/btgLWC4uNmzc2Bt3d5viejQVf/9D7N2r61VbufJScd3VnQYNrAgPT2XYsENcu2acekIXT//iej2vuF4PZe9e3Rna7NknKCrS8tNPg7C2NuPXX2/x2mu/GyWWsnjUs35qqrvy8ooYOrQJs2Z5YmdnQWxsFj/9FMO//vWnwWOpaVsFBHRg0aJupfMfPvxUcaxlxyZTM3bdVZGTk4Zly2xo2lRDSoqWn34qYP78HL1HKv3tb5ZoNLBpk/Hv4qkpnm3bCggIyOGdd6xYtcqGixeLGD/+HkePGn70n/u14Zs2tWXoUDdmzepYrhzH8q9/Ga/jrTbtQoBp09pz82YWoaHGvau7pmOPLpZW3LyZTWhown1+yTDUVHZefz2VJUsc+ewzZ1xczLl1q5Avvsjin//UP7/4299si/ctw+7f3o/Dwa/LPgcVD3q2fjtMfQ+27YeAJfDOdFg1Fy7GwPg34ajhD8PVGjrUrvicq/KF3pUr7xbXW640aGBOeHgOw4bdMPojHauTk1NI//4NmDWrNfXrW5KYmMtvv92hT58jJCUZ/sJwTe3mggItTz21h+XLvdi5cwj29hZcuZLB5MmHCQ42UFZMOWrqz6gpHiV4e7ty8OCzpZ+DgvwAWL/+PAEBe+nYsQGTJz9Oo0Y23LmTw4kTCfTvv5nIyCoymx7SyZNZjB17mWXLmvH++02Ijs5l1qzrfP+9blmFhVq6dLFl8uTGODubc+tWPqGhabz3Xix5eYa/0Ki2dlht1k/HjvWYPLkxjRpZcOdOASdOZNG/f2Slx4CYIp4mTSwZPbo+AOHhnfX+1s8vkkOHHu4c0Ls7HNxd9jlome7f9d9BwCzo2B4mT9IlXNxJgROnof9wiLzwUIutPp6H7NtVkqnPj0Fd54BSb9UmHu9y2yodf/+j7N2ru4jfoYM9y5Y9XtwXlsUHH1wkKMi456JqqrtqKstPPfUby5d3YefO/sVlJ5PJk48bbdSWmq6dAEyb5sbNm7mEhhr/8YDq27+Urdu9vc04eLBsRLygIN1Nn+vXFzB1aj4rVhQU98VbFffFFzF8eJ5eX/zzz+fx6aeW7NtnTVER/PRTIf/4hzLnGULUyl8g6UKjrZjV8IBCQkL4448/9JIjKiZGVPyuV69e+Pv715hAERERwc8//1w6n1arRaPRPPBIF/Hx8Xz55Ze8+uqreFx2f6C/NTRt2aNVMWD+SJ2V3/oazXfKBVJMqy27AKfRHFQukGIREQ3ZunUr48aNo0sX5SssrbZH6XuNxrjPta4NrbYsIUGj+eo+c5qGVvty6XuNxjh3PT+IiAjHcuUnRtFYtNqnS9+r7dizWAUBLdSrp9YrF0gxrXZK6XuNxrSPTqlKRISmXFk+onQ4aLWBpe81mq33mdM0tNpxpe81ms0KRqKj1U4sfa90eY6I8CpXdoyXeFRb+utGbfXWeuUCKaZ/7HnIsYsNICKiZbnyY7zHC9aWVutY+l6jMc7IRQ9CPx61teOV3b/09y3lj8sREZ1UXJaVf0yBVtu09L2mi4KBFNOWa3ppNFHKBVIsIqJANecUUPG8Yr1ygRTTr7uUPRbqHwfVdlz+WMFIdCIihpUry8ZJwHwQWm3v0vfqK8vHlQukmP76UT6eiAjbsvLTt3PNf2Bk2nJNQRV0aVTo31X2HFlt58f67bBTSoejqnoLKtYVautfUb7u0mrfLH2vvvJs+MSRB6XV+pW+V7ou1d+31isWRwn9eIz/+Nma3LqVWnqN1N1d2Wuk4q8nPT0dJycnOJUG9o41/0FmOng5kZaWhqNjLeZXkYca6eLPP//k+PHjpc8ALa8k0aLid1qtlj/++IO0tDQmTJiAufmjm7EihBBCCCGEEEIIIYQQQgghhBBCiGoUFL9qM98jyqyuf5idnU1oaGilhIqSV3XTNBoNWq2Wixcv8sMPP1BY8aGnQgghhBBCCCGEEEIIIYQQQgghhHj0FTzA6xFV56SLP//8k5ycHIBKiRZQNsJF+ZEuSuYrSby4evUqW7Zsoaio6CH+C0IIIYQQQgghhBBCCCGEEEIIIYRQHUm6qN6ZM2cqPVIEqJRkUd30ksSLy5cv8/PPP9c1DCGEEEIIIYQQQgghhBBCCCGEEEKoUQGQX4vXI5x0YVGXP7p37x7JycmliRMlyidV2NnZUb9+fXJzc7l79y4FBQWliRcVR7w4f/48tra2PPnkk4b5XwkhhBBCCCGEEEIIIYQQQgghhBBCWYXFr9rM94iqU9LFrVu39D6XT6RwdnZm5MiRtGnTpvT7nJwczpw5w6FDh8jJyaky8eLEiRPY2dkxYMCAh/sfCSGEEEIIIYQQQgghhBBCCCGEEEJ5tX10yCM80kWdHi+Snp5e+r78I0YcHByYPn26XsIFgI2NDT4+PgQGBuLh4VGabAH6jxo5ePAgp06dqktIQgghhBBCCCGEEEIIIYQQQgghhFCTggd4PaLqlHSRk5Oj97kkcWLIkCHY29tX+3eOjo5MnjyZVq1a6SVeQNloGbt37yYqKqouYQkhhBBCCCGEEEIIIYQQQgghhBBCLSTpomr5+fmVpmk0Gh577LEa/9bKyornnnuOJk2a6I1yUfIbRUVFbN26lZiYmLqEJoQQQgghhBBCCCGEEEIIIYQQQgg1KKR2CReFSgX48OqUdGFpaVlpmp2dHVZWVrX+++eff57GjRsDVEq8KCgo4IcffiAhIaEu4QkhhBBCCCGEEEIIIYQQQgghhBBCaTLSRdWqSq4oKip6oN+oV68eL7zwAo6OjkDlxIvc3Fx+//13gNLpQgghhBBCCCGEEEIIIYQQQgghhHhE/AWSLizq8kcODg6VpmVnZ1NUVISZWe3zOBwdHXnxxRdZt24d2dnZpYkXGo1GLwnDkLQDDP6Tdaa2XBKt9nmlQ9Cj1fopHQJnz54tfa/V9lAwksq02nZKh6BHq31Z6RD0aLV9lQ6hQvl5WsFI9Knt2LNQZQFptVOUDkGPVttF6RAqlOVABSOpTKsdp3QIerTaiUqHoEfp8qxfdtS2btRWb01ROgQ9aqi39MuPo4KRVKa+eNTWjlfP/qWGY4+6y3JTpUPQo41QOgJ9Wm3Nj1A1NrWeU4Aa6y71HAvVEktsbCypqalERAxTOhRu3LhR+l6r7a1gJJWpryyrbf0oH4/esTBdwUCqoLIuDVWdI6uvHTZFuUCqoJa6ooSayg6AVvum0iEA5evSTkqHUqEu9VMukCqoaf9SUywAWm09pUMgPj5V6RCEgPziV23me0TVKemifv36VU6/efMmzZs3f6DfatiwIc8//zwbNmwgLy/PJIkXQgghhBBCCCGEEEL8r4qNjeXrr79WOoxKnJ2dlQ5BCCGEqBWpS4UQwoAKi1+1me8RVeekCzMzs0oJEZcuXXrgpAsAd3d3nnvuOb799lsKCwsl2UIIIYQQQgghhBBCiDpKTU0FwNvbu059dcbg7OxMs2bNlA5DCCGEqBWpS4UQwoAKqd2jQ/5qSRcWFha4uLiQkJCgNyLFuXPnGDJkCBqN5oF/s0WLFkyYMIEtW7aUjnRhjMQLjWaxwX/zQWi1C0vfazRfKRiJTvmhfzWaDxSMREernV/6Xg3xRESMKn2v0axQMBIdrfbt0vfZ2dkKRqJja2tb+l6jWa9cIMXKDx2mhu0VEfFk6Xult5f+tlL2OAgVj4Vqi+djBSPRKT+EotrKshriUfexUPm6S78uVXb/iogoG55UfetGbfFsVjASnfLD/2o0qxWMRCciwq/0vUZzVLlAipV/dJnS+xZUrLuU315a7eul75WuK8rXE2rYVmo+FqqvHlV+e+nvW8q3e/TbYVJ+KlJTO0y/Xle+vyciQvdIiObNm9OlyxGFo9F/TKHS2woqbi/l93X9uktt60f5Y7N+Xap8POXrCvUdC9XT962GdVOe0usGKrYz1Lavf65gJDr6dYXy26vk2KOrS3coHI3a+zTUc+xRW9+u2o6FQigmB6hN+kCOsQMxHrO6/mGTJk0qTUtPT+fcuXN1DqZDhw6MGlX+IveDJ28IIYQQQgghhBBCCCGEEEIIIYQQQgUKHuD1iKpz0kXLli31PpckSBw9evShRqjo2rUrTzzxROlvlIykIYQQQgghhBBCCCGEEEIIIYQQQohHSMnjRWp6PcKPF6lz0kXbtm0xMzNDq9XqvW7fvs2JEyceKigfHx/69+9fmnhR8ttCCCGEEEIIIYQQQgghhBBCCCGEeET8BUa6sKjrH9rY2ODj40Nqamql7xITE9FqtQ81QsXgwYMpKioiLi6uzr8hhBBCCCGEEEIIIYQQQgghhBBCCIXkA+a1nO8RVeekC4Bhw4YZKo4qDR061Ki/L4QQQgghhBBCCCGEEEIIIYQQQggjKaR2jw55hB8v8lBJF0IIIYQQQgghhBBCCCGEEEIIIYQQVarto0P+io8XEUIIIYQQQgghhBBCCCGEEEIIIYSoViG1S6iQkS6EEEIIIYQQQgghhBBCCCGEEEIIIcopAMxrOd8jSpIuhBBCCCGEEEIIIYQQQgghhBBCCGF4+YBZLed7REnShRBCCCGEEEIIIYQQQgghhBBCCCEMr5DaPTrkEX68SG1ySkQ5c+f2RatdSFCQv0mWN29eV/74YzTp6S+RmPg8P/88lPbtnSrN5+Pjwr59T5GZOZm0tJc4dGgENja1Gafl4Sxc2B+tdr7eKyrq70ZfbnWio2dUikernc+nn5pme/Xv35QdO8YRF/caWu3bjB7dttI8ixf349at18jOns2ePc/Stm19k8SmtICADoSHjyItbRJpaZMIC3uK4cOblH7/yivtOXBgOGlpk9Bqp+DkZGXUeGraVmPHtuPXX58hOfl1tNq36drVxajxPGpMfSysKCDAm/DwANLS5pGWNo+wsGkMH155fzOW/v2bsGPHaOLiXkWrfZPRo9vofb9woS9RUVPIzHydlJTX2LNnPL16uZksPnt7K4KCBhMT83eys2dz9OjzeHubbvmyfz0YDw8HvvlmFMnJs8nOfpuIiFfw8nJXJBal962qqGn9KNnOCAhoQ3i4P2lp40hLG0dY2BCGDy/br11dbdi4sTfx8aPIzBzPqVNPMG5cU6PG1L+/Bzt2jCQubipa7euMHt1a73ut9vUqX3PmdDdKPB4eVnzzTTuSk3uRne1DREQ3vLzs9eZZvLg5t271JDvbhz17HqdtWxujxFKV/v2bs2PH34iLexOtdiGjR3cw4bLVta0etXpC6XaPmZmGf/5zINeuzSA7+22uXHmNBQv6KRKLGim5b1VF6XZYeVJ27k/p9VNTf0+LFvZotS9X+ZowoZUR4unOH3+MJz19OomJU/j55+G0b++sN4+1tTmfftqf5OSpZGS8zH//64+LSz2Dx1IVpft7qqKm/R3U026eN68ff/zxMunp80hMnMPPP0+kffuGJo+jhBrPcdREbdtLbdRWfpSsu9ReT4C62oVKtzPUHo/S+1ZNfbvlff75ELTaN3njDeOcH4vKkpKSCAwMpHnz5lhbW+Pm5oa/vz9Hjx6t1d+vX78eZ2dn4wYpHlwhukeH1PSSpIu/Bm9vD/7+dy/CwxNMtsyBA91YsyYSH58dDBsWjKWlGaGhw7G1LRukxMfHhZCQ4YSG3qRXr+307LmdTz+NpKhIa5IYz527jZvbJ6Wvfv02mmS5VenZc51eLEOHfgfAjz9GmWT5dnaWhIffZsaMPVV+//bbvfjHP3oQEBBK797fkpWVz6+/PoO1tfETZJR282YW8+adwstrJ97ev7B/fzzbtw+mUydnAGxtLQgJiWPp0rMmiaembWVnZ8mRI3HMnXvIJPE8SpQ4FlZ082Y68+btxcvrS7y9v2T//hi2b/8bnTo1NsnydeUniRkz9lf5/aVLd5k5cz+dO2+kX7/NxMSkExo6nkaNTHOi+dVXwxk2rCUvvriLzp3XERoaw969E/HwsK/5jw1A9q/ac3a24ejRl8jPL+LJJzfTqdMXvPXWXu7evadIPErvWxWpbf0o2c64efMe8+ZF4OUVird3KPv332b79n506uQIwMaNvenQwYFRo47QuXMIW7feZMsWX7p1czZaTLp9PZkZM6rel93c1uq9pk7dS1GRlp9+umrwWJydzTl6tDP5+VqefDKSTp3+5K23Yrh7t+xBkG+/3YR//MOdgICr9O4dQVZWIb/++jjW1hqDx1MVOzsrwsMTmTFjt0mWp79s9WyrsngejXpCDe2euXN9CQzswcyZv/LYY18wd+5+3n7bh9df91YsJjVRct+qitLtsPKk7Nyf0uunpv6e2Ngs3Ny+03u9//4pMjLyCA6ONUI8HqxZcw4fn60MG7azOJ6Rev1PQUF9efrpFjzzTCgDB27Dw8OWrVtNk/SgdH9PVdS0v6up3TxwYAvWrDmBj89ahg37prgsvYCtraXJYwH1neOojdq2l9qorfwoWXepvZ4AdbULlW5nqD0epfetmvp2S4wZ0xYfH3fi4jJNEpfQGT9+PH/++ScbNmzg0qVL7NixAz8/P+7cuaN0aOJh1CbhouT1iJLHi9SSnZ0l3303jlde2cmCBQNMttwnn/xV7/OUKb+RlPQCXl6NOHxY1/EXFOTDqlXn+fDDiNL5Ll1KM1mMBQVaEhOzTLa8+0lOztb7PG9eH65cSeHQoRsmWX5ISDQhIdHVfj9rljf/+tcxduy4AsBLL+0iMXEmY8a0Y/PmCyaJUSm//HJT7/OCBX8SGNgRH5/GREamsnJlJKDreDKFmrbVt9/q4mnRwtEk8TwqlDoWVvTLL5f0Pi9YsJ/AQG98fJoSGZlk9OWHhMQQEhJT7febNunvz2++eYiXX+5Mly6N2L/f8B2k5dnYWDB+fHtGj97K4cO6/W7x4qM8/XQbAgO78d57R4y6fJD960HMnetLbGw606b9UjotJsZ0dXhFSu9bFalt/SjZzvjll1t6nxcsOEtgYBt8fBoSGZlOnz4NCQw8xYkTKQB88EEks2e3x8urAWfOpBolppCQ64SEXK/2+8RE/fU1enRrDhy4SXR0usFjmTu3KbGxuUybdqV0WkxMrt48s2Z58K9/xbJjh24dvfTSZRITezFmTEM2b042eEwVhYRcISTkSs0zGmXZ6tlWungejXpCLe2ePn2asn37JXbv1pWf69fTeO65x+nVy0OxmNREyX2rIjW0w8qTsnN/Sq+fmvp7ioq0JCbqXzAfO7YFW7ZEk5Vl+J7IJ5/cVSGe/SQlTcXLqzGHD8fj6GjF9OkdmTRpLwcOxAEwdeoBLlx4jt69XTl+PNHgMZWndH9PRWrb39XUbn7yye/0Pk+Zsp2kpP+Hl5c7hw+bfnup7RxHbdS2vdRGbeVHybpL7fUEqKtdqHQ7Q+3xKL1v1dS3C+DhYc/q1YPw99/Krl1jjB6T0ElNTeXw4cMcPHiQgQMHAtCiRQt69epVOs/HH3/MunXruHbtGg0aNODpp59mxYoV2Nvbc/DgQaZOnQqARqO7yWbhwoUsWrTI5P8XUUE+UJv7nvKNHYjxyEgXtbRmzVPs2nWZffuq7xw0hZJHLqSk6DqRGze2wcfHhdu373H06NMkJDzPwYMj6NvX1WQxtWtXn7i4f3D16mt8++1omjVTx0U0S0szXnjBk6+/Dlc6FABatXLC3d2evXvLOrzT0/M4fjweX9+/VqeXmZmGiRNbYWdnwbFjt5UORzwAtRwLy9OVp8exs7Pk2DHjJjTUhaWlGa++2pnU1BzCw41/0mBhYYaFhRk5OfodsffuFdCvn3EfNSAe3KhR7Th5Mp4tW8aRmDiL06en8/LL3ZQOC1DHvqXm9aNkO0O3bZoV16O6LP+wsDtMnNic+vWt0Ghg4sRm2NiYc/CgOupZF5d6jBjRgrVrI43y+6NGNeDkySy2bOlAYmJPTp/uyssvl7WHW7Wyxt3dir17yy4+pKcXcvx4Br6+DkaJ6VFl7G31KFFLuycs7CZDhrSkXbsGAHTp4kK/fk0JDjbOSCSi7tTWDpOyc39qWz8V+3sq6tGjId27N2Lt2ouKxOPl1RgrK3P27i27oeLixVSuX8/A19d0fVCgjv4ete3vam43OzlZA5CSosxodeWp4RxH7dS0vdRGDeVHTXWXmusJNVDTtlJjPOWpYd+qSKOBb74ZzkcfnSQyUkZXMCV7e3vs7e3Ztm0bublVt4vNzMxYtWoV58+fZ8OGDezfv5+3334bgD59+vDJJ5/g6OhIfHw88fHxzJkzx5T/BVGdwgd4PaJkpItamDjxcXr0cKdnz/8oGodGA5984sORIwmcP38XgNatdZ3Eixb1YM6c45w5k8JLL7Vl376n8PT8iStXjHN3Wonjx28xZcpOLl5Mwd3dnoUL+3P48Et4en5JZmaeUZddkzFjOuDsbMP69RE1z2wCbm52AJVGBUlMzMLNzfRDTyrB09OZY8dGYGNjTmZmAWPH7icqSrk7lsWDUcuxsISnpwvHjk3HxsaCzMw8xo7dTFSU8e9Urq0RI1rxww8jsLW1JD4+i2HDfuLOnRyjLzczM4+wsDjee68PUVEpJCZm8dxzj+Hr68GVK6lGX754MK1b1ycw0IuPPz7O0qVH6dnTg1WrniAvr5CNG03zuKWK1LRvqXH9lFCineHp6cSxY0PK1aNHiYrStfWefTaMzZt9SUkZS35+EdnZBYwde4SrV9UxBObkyY+RkZHP1q3G6dBp3dqGwEA3Pv44jqVLb9Kzpz2rVrUiL6+IjRuTcHPTdQgmJuq3TxMT80u/EzrG3laPCjW1e5YvD8PR0ZoLFwIoLCzC3NyM+fMP8v3355UOTVSgtnaYlJ37U9P6qaq/p6Lp0zsQGXnXJDcu6OLpy5Ej8Zw/rxshys3NltzcQtLSKtal2bi52Ro9pvLU0N+jtv1dre1mXVkazpEjNzh/XrlRJdR0jqNmatleaqOm8qOWukvt9YQaqGVbqTUeUNe+VdHcuT0pKChi1ao/lQ7lL8fCwoL169fzyiuv8O9//5sePXowcOBA/va3v9GlSxcAZs2aVTp/y5Yt+de//kVAQACfffYZVlZWODk5odFocHMzzajqopYKqN1QEA84qN+yZcvYunUrFy5coF69evTp04cPP/yQDh06lM6Tk5PDW2+9xQ8//EBubi7+/v589tlnuLqWJQXeuHGDwMBADhw4gL29PZMnT2bZsmVYWNQ+lUKSLmrQtKkjK1cOZ9iwb8jNVTa9Zs2avnh61qdfv52l08zMdGOxfPHFBdavvwzAmTN3GDKkCdOmtefdd08aNaaQkLLO2LNnb3P8eBzXr8/k2WcfU3yEienTuxIcfJX4eHVcbBBw8WI63brtwMnJigkTWrBhQ38GDgyWxItHgJqOhSUuXkymW7d/4+Rkw4QJndiwYQwDB65XTeP8wIFYunX7lkaN6vHKK53ZsmUkvXt/T1KS8e8WefHFXXz99ZPcuvUaBQVFnD6dyKZNUXh5SUNTbczMNJw8Gc/8+QcBOHMmEU/PxgQE9FCsc1RN+5Ya108JJdoZFy9m0K1bKE5OlkyY0JQNG3oxcOABoqLSWbKkM87OVgwZcoDk5DzGjGnCli196N9/P+fOKV/PTpvWie++u2i0OsTMDE6ezGT+fN0QyGfOZOHpaUtAgBsbN0qH8YMw9rZ6FKit3fPss514/nlPJk3axvnzSXTr5sonnwzj1q0MxY+FojI1tcOk7NyfmtZPVf095dnYmDNpUhuWLDljongG4OnZgH79tplkeQ9KLf09atrf1dpuXrNmBJ6eLvTr97ViMYC6znHUTC3bS23UVH7UUnepvZ5QA7VsK7XGA+rat8rr0cOFN97oQY8e3yoax1/Z+PHjGTFiBIcPH+b3338nODiYFStW8NVXXzFlyhT27t3LsmXLuHDhAunp6RQUFJCTk0N2dja2tn+9JK9HRiG1S6h4wG6YQ4cOMWPGDHr27ElBQQHvvvsuTzzxBJGRkdjZ6W6Gnz17Nrt27eLHH3/EycmJmTNnMm7cOI4ePapbZGEhI0aMwM3NjbCwMOLj43nppZewtLRk6dKltY5Fki5q4OXljqurPadP/710moWFGQMGtGDmzF5YW/+LoiKt0eNYvdqXkSObMWDAL8TFlT3HMj5e9z4yMlVv/qioVJo3N/3oCWlpuVy6lELbtvVNvuzymjd3ZOjQVowb95OicZSXkKAb4cLV1a70fcnnM2eM/0w7NcjPL+Lq1QwATp++Q8+ejXjjjU4EBBxTODJRE7UcC8vTlSfdXWCnT8fTs6cHb7zhQ0DALzX8pWlkZxdw9WoqV6+mcvx4PJcuTWX6dE+WLz9h9GVfu5aKn98mbG0tcXS0IiEhix9+GMW1a6lGX7Z4MPHxmURG6p9MRkUlM358R4UiUte+pcb1A8q1M3TbRndx4fTpu/Ts2YA33mjPihVRvP56Ox5/PJjISN3IFxERqfTv34gZM9oSGHjKpHFW1K+fBx071mfixBCjLSM+Po/ISP2ktqioe4wf3xCAhATd3VaurlYkJJQ9HNLV1ZIzZ/RHIfsrM8W2ehSord3z0UdDWL48jM2bdY98OXcuiRYtnHjnnT5y4VyF1NQOk7Jzf2pZP9X195Q3YUIrbG0t2Ljxsgni6cfIkS0YMGAbcXFldWRCQjbW1uY4OVnp3cXs6mpLQkLVcRuDmvp71LS/q7HdvHr1k4wc2Y4BA9YTF5ehWBygrnMctVLT9lIbNZUfNdRdaq8n1EIN20rN8YC69q3y+vdvgouLLTduvFI6zcLCjP/7v4HMmtWDVq3WKhjdX4eNjQ3Dhg1j2LBhvPfee7z88sssXLgQPz8/Ro4cSWBgIB988AENGjTgyJEjTJ8+nby8PEm6ULP8mmd5oPmKhYTo92GtX78eFxcXTp06xYABA0hLS2Pt2rV8//33DB48GIB169bx2GOP8fvvv+Pj40NoaCiRkZHs3bsXV1dXunXrxpIlS5g7dy6LFi3Cyqp2o+RK0kUN9u2LxtPzM71p69aN5sKFZD788KjJEi7Gjm2Jn98uYmL0s/hjYjKJi8uiQwcnvent2zsSHHwTU7Ozs6RNm/p8842yHThTp3bl9u1sdu0yfodEbUVHpxEfn8mQIS0ID9cNB+rgYEXv3u58/vlfc5gqMzMN1tbmSochakENx8KaqL086eIzbbWbnZ1PdnY+zs7W+Pu35O23D5l0+aJmR4/G0qFDA71p7ds34Pp15UcmKKHkvqXW9aOWdoZu25hha6s7tlQ8FhcWaktHRVPS9OmdOHkykYgI492tcvRoBh062OhNa9++Htev657/GR2dS3x8HkOGOBEerusYdHAwp3dvBz7/PMFocT1qTLGtHgVqa/fY2lqodv8W1VNDO0zKzv2pYf3cr7+nvOnTO7Bjxw2Sk437uMLVq/sxdmwr/Px2EBOjf9H11Kkk8vIKGTKkKVu3XgOgfXtnWrRw4Ngx091IopZ2WHlq2N/V1m5evfpJxo7tiJ/fBmJiUhWJ4X7U3n9gamrfXmqjZPlRuu56FOoJtVB6W6k9nqqo5dj8zTdR7N17Q2/ar7+O55tvIlm3Th7Tp5ROnTqxbds2Tp06RVFREf/3f/+HmZnuWRVbtmzRm9fKyorCQuVHrRQVFFK7x4sUb7r09HS9ydbW1lhbW9f452lpuvZvgwa6tvGpU6fIz89n6NChpfN07NiR5s2bc+zYMXx8fDh27BidO3fWe9yIv78/gYGBnD9/nu7du9cicEm6qFFmZl6lZ9hlZeVz5849kzzbbs2aPkya1IbRo/eQkZGPq2s9ANLS8sjJ0ZW8jz6KYPFiL8LD73DmTAqTJ7ejY0dnJkzYZ/T4PvpoCDt3Xub69TQ8POxZvHgAhYVFbNoUafRlV0ej0Z2Eb9gQQWGhaTtE7ews9Ub5aNXKma5dXUhJuUdsbAaffHKSBQt8uXz5LtHRqSxZ0p9btzLZtk09nQXGsnRpD4KD47hxIwsHBwsmTWqNn58b/v6hALi61sPNrR5t2zoA0LmzMxkZBdy4kcndu3n3++k6qWlb1a9vQ/Pmjnh46EaMKem8SEjIIjHxr3dHrNLHwoqWLh1CcPBlbtxIw8HBmkmTOuPn1xJ/f9MM+6YrP86ln1u1cqJr18akpORw58495s/vzY4d14iPz6RRo3rMmNGNJk3s+fHHSyaJ74knWqLRaLh4MYW2bZ356CM/LlxIYd060yTEyf5Ve0FBfxAWNpl33unDli1R9OrlwauvdufVV3crEo/S+1ZFals/oFw7Y+nSzgQHJxTXo5ZMmtQcPz8X/P0PceFCOpcvZ/DFF97MmRPOnTu5jBnTlGHD3Bg58rDRYtLt62WJv61aOdK1ayNSUnKIjdVdOHJwsOSZZ9ry1ltHjBYHQFDQLcLCOvPOO03ZsiWZXr3sefVVV159texReJ98cosFC5px+XIO0dE5LFnSnFu38ti27Y5RYyuhW19lF0NatapP166uxcfG9Pv8paGWrY5tVRaPeusJtbV7du68zPz5fblxI53z55Po3t2NN9/spfjjHNVCyX2rKkq3w8qTsnN/Sq+f2vT3ALRp48iAAW489dSvRo6nP5MmtWP06GAyMvIqxZOensfatRf4+OM+pKTkkJ6ex+rV/QkLS+D4cdNcTFOyv6cqatrf1dRuXrPmKSZN6szo0T+QkZGLq6tuWOe0tFxych7wId0GoLZzHLVR2/ZSG7WVHyXrrkehnlBTu1Dpdoba41F637pf325sbAYpKfqJrvn5hSQkZHHp0l2TxPdXdufOHZ555hmmTZtGly5dcHBw4OTJk6xYsYLRo0fTtm1b8vPzWb16NU8//TRHjx7l3//+t95vtGzZkszMTPbt20fXrl2xtbWVETDUoACoTZ5XcfOjWbNmepMXLlzIokWL7vunRUVFzJo1i759++Lp6QlAQkICVlZWODs7683r6upKQkJC6TzlEy5Kvi/5rrYk6ULlXnutEwCHDo3Umz5lyiE2bNBdqF+58jw2NuYEBfnQoIE14eEpDBsWzLVrxh8KrmlTBzZtGkPDhvVISsrmyJFYfHzWk5ys3JBhQ4e2okULJ0UaDN7ebhw8+Fzp56Ag3VA169efZerUYFas+AM7Oyu+/PIJnJ1tOHLkJsOH/6iKZ0Ubm4uLDRs39sfdvR5paXlERNzF3z+UvXvjAQgI6MCiRd1K5z98+CkApkw5woYNVwweT03batSotqxf/1Tp95s3jwJg0aKjLF581ODxiAfj4mLHxo1jcXe3Jy0tl4iIRPz9v2Xv3msmWb63tysHDz5b+jkoyA+A9evPExCwl44dGzB58uM0amTDnTs5nDiRQP/+m4mMNM2FPScna5YtG0DTpg6kpOTw00+XmD//NwoKikyyfNm/au/kyXjGjv0vy5YN4v33+xMdncqsWXv4/ntlMueV3rcqUtv6AeXaGbp6tDfu7jakpeUTEZGKv/8h9u7VdV499dRvLF/ehZ07+2Nvb8GVK5lMnnyc4OB4o8Xk7e3CwYPjSj8HBfUHYP36KKZO3QvA3/7WHo0GNm0ybtLZyZOZjB17gWXLWvD++82Ijs5h1qxovv++7AL5ihVx2NmZ8+WXbXB2tuDIkXSGDz9Pbq5pLtp4e3tw8OCU0s9BQf4ArF9/hqlTtxt52erZVrp4pJ54EK+/HsqSJQP57LPhuLjYcutWJl988Sf//KfxkqoeJUruW1VRuh1WnpSd+1N6/dSmvwdg2rT23LyZRWiocUczfe01z+J4xlSIZz8bNlwEYPZs3Wg/P/3kj7W1Ob/+Gstrr/1m1LjKU7K/pypq2t/V1G5+7bWeABw6NEVv+pQp29iwwfTbTm3nOGqjtu2lNmorP0rWXY9CPaGmdqHS7Qy1x6P0vnW/vt2pU42b6Cruz97ent69exMUFMTVq1fJz8+nWbNmvPLKK7z77rvUq1ePjz/+mA8//JB33nmHAQMGsGzZMl566aXS3+jTpw8BAQFMnDiRO3fu1OpivTCBB0y6iI2NxdHRsXRybUa5mDFjBufOnePIEePfUFQVjVarVT413Mji4+P58ssvefXVV/Hw+FLRWLTahaXvNZqvFIxER6t9ufS9RvOBgpHoaLXzS9+rIZ6IiFFs3bqVcePG0aVLsNLhoNW+Xfo+O1v5Z+GVzw7UaNYrF0gxrXZK6XuNZoVygRSLiHiytPy0adNG0Vj0t9ViBSPR0T8Wqi2ejxWMREerfbP0vdrKshwLK9Pfv5Svu/TrUmX3r4iIceXKzg5FYwH1tTP049msYCQ6Wu3E0vcazWoFI9GJiPArV35Mf7d6RVpt39L3Su9bULHuUn57abWvl75Xuu4qX0+oYVup+ViovnpU+e2lv2+prR0m5aciNbXD9Ot15ft7IiJ6lys7ynQ6lqfVBpa+V3pbQcXtpfy+rl93qW39KH9s1q9Ltyodjl5dob5jobLbS23r5urVq6otO+rb1z9XMBId/bpCbccedbXD1Fd+1HPsUVvfrhqOhWlpaaXXSN3d3ZUOR/zFpKen4+TkBH5pYOFY8x8UpMNBJ9LS0vSSLmoyc+ZMtm/fzm+//UarVq1Kp+/fv58hQ4Zw9+5dvdEuWrRowaxZs5g9ezbvv/8+O3bs4MyZM6XfR0dH07p1a06fPl3rx4vU5ukpQgghhBBCCCGEEEIIIYQQQgghhBAPpvABXg9Aq9Uyc+ZMfv75Z/bv36+XcAHg5eWFpaUl+/btK5128eJFbty4ga+vLwC+vr6cPXuW27dvl86zZ88eHB0d6dSpU61jkceLCCGEEEIIIYQQQgghhBBCCCGEEMLwCgw8X7EZM2bw/fffs337dhwcHEhISADAycmJevXq4eTkxPTp03nzzTdp0KABjo6OvP766/j6+uLj4wPAE088QadOnXjxxRdZsWIFCQkJLFiwgBkzZtTqsSYlJOlCCCGEEEIIIYQQQgghhBBCCCGEEIZnpKSLzz/XPR7Lz89Pb/q6deuYMmUKAEFBQZiZmTF+/Hhyc3Px9/fns88+K53X3NycX375hcDAQHx9fbGzs2Py5Mn885//fKBYJOlCCCGEEEIIIYQQQgghhBBCCCGEEIZXAGhrMV8dHi9SExsbG9asWcOaNWuqnadFixbs3r37wRZegSRdCCGEEEIIIYQQQgghhBBCCCGEEMLwaptM8YBJF2oiSRdCCCGEEEIIIYQQQgghhBBCCCGEMDwjjXShJpJ0IYQQQgghhBBCCCGEEEIIIYQQQgjDk6QLIYQQQgghhBBCCCGEEEIIIYQQQog6KACKajFfbeZRKUm6EEIIIYQQQgghhBBCCCGEEEIIIYThFVK7kS4k6UIIIYQQQgghhBBCCCGEEEIIIYQQopwCwKwW80nShRBCCCGEEEIIIYQQQgghhBBCCCFEOZJ08b9Hq12odAiltNqXlQ5Bj1Y7X+kQ9KghnrNnz5a+12rfVjCSymxtbZUOQY9WO0XpEPSoYXuVLz9q2l5qOg6CGuN5U+kQAIiNjSU1NZWIiCeVDoUbN26UvlfDvlWemvYtUEfdVZ7S+5d+Paq2daO2eCYqHYIerfZ1pUOoUH76KhhJZUrvWxWpYXuVp4a6oqweHad0KBXqUXUde9RXj6pt31K+LKu5LlVf+VHP+lFDf49+2QlUMJLK1LStQB37ennqWz/KH5v1y7Py8ZSnvmOhetaPrJv7U9++rra6QvntpeZ2mPriUX57lVBL324JNRwL09LSlA5BCMhHki6EEEIIYVqxsbF8/fXXSodRibOzs9IhCCGEEDWSelQIIYQQQgghhBBCRYoAbS3mq808KiVJF0IIIYTKpKamAuDt7U3z5s2VDaaYs7MzzZo1UzoMIYQQokZSjwohhBBCCCGEEEKoSAGgqcV8knTx6NBoFiu6/PLDLGk0nysYiU75YcM0mg8UjESn/LBYSm8rQG84Ylk/lemX5xUKRqJTfkhQNWyviIhRpe+VXj9qWzf6ZVltZec7BSPRiYjoAkDz5s3p0mWHwtFU3F7qKj/Z2dkKRqJTfphAjeZjBSPRKT+MotLxREQMK32vvnpL4qmofDxq2LfKU0M8+vu6uraXRrNeuUCKlX/UnNLrp6QNr856VG3tHrXFo7Z9S/l49M9J1daHoPz6UVPdpV9PKL9vlX9MofrqCXWdU6hv/ajtnEL57aXfv6J8POrun1NP37fSx+WK1Fd2lK8r1N1fqPy+pd8OUz4eNe3roK79Xb8dtlXBSHS02vJlZ71ygRS7dctf6RCEkKQLIYQQQgghhBBCCCGEEEIIIYQQQog6yUeSLoQQQgghhBBCCCGEEEIIIYQQQgghHlghknQhhBBCCCGEEEIIIYQQQgghhBBCCFEnj3BCRW2YKR2AEEIIIYQQQgghhBBCCCGEEEIIIcSjSJIuhBBCCCGEEEIIIYQQQgghhBBCCCHqQJIuhBBCCCGEEEIIIYQQQgghhBBCCCHqwELpAIQQQgghhBBCCCGEEEIIIYQQQgjxvyi/+FWb+R5NknQhhBBCCCGEEEIIIYQQQgghhBBCCCMoKH7VZr5HkyRdCCGEEEIIIYQQQgghhBBCCCGEEMIIZKQLIYQQQgghhBBCCCGEEEIIIYQQQog6+N8f6cJM6QAeBf37N2fHjr8RF/cmWu1CRo/uYLJlz5vXnT/+GE96+nQSE6fw88/Dad/eWW8ea2tzPv20P8nJU8nIeJn//tcfF5d6JokvOnoGWu38Sq9PP/U3yfIrUnJbVcfDw4FvvhlFcvJssrPfJiLiFby83BWJJSDAm/DwANLS5pGWNo+wsGkMH97WZMvv378pO3aMIy7uNbTatxk9umzZFhZmLF8+kIiIqWRmziIu7jU2bHgKd3d7k8Wn5LZS+7pZuLB/pf08KurvJlt+VeztrQgKGkxMzN/Jzp7N0aPP4+3tZvTlBgS0Izz8KdLSniUt7VnCwp5g+HCP0u8PHBiKVvu83uvzz3sZPa7yzMw0/POfA7l2bQbZ2W9z5cprLFjQz6QxlKfG8qOU/v2bsGPHaOLiXkWrfZPRo9tUO+/nnw9Bq32TN97orlg869b5o9W+qfcKDh5ntHhqMnduX7TahQQFKdPOqEhN8agpFlE1JdupAQEdCA8fRVraJNLSJhEW9hTDhzcp/V53PtGb5OS/kZHxPP/9rx8uLjYmi68ipcuz2upRUK7dA+pvpyp9jlOR2vsPXnnlMQ4cGEVa2nS02kCcnKxMFp/atpUaKbWvz5vXmT/+GEl6+vMkJk7k558H0769o948rq712LixP/HxE8nMfJ5Tp55m3LgWRo+thJL9T2pcP7U5r+jYsQHbt48mNXUGmZmv88cfk2jWzMFoMZWntv5CNfXNVaR0u6citcWjBmorP0q2CytSW3+P2toaarpWobZ1oyZz57ZHqx1HUFCX0mnW1mZ8+mlXkpNHkJExiv/+tzcuLtZGWX5t2hmtWzuwdesgbt/+G2lpk9i8eaCi5+zGlpSURGBgIM2bN8fa2ho3Nzf8/f05evSo0qGJh1JA2WgX93s9ukkXMtJFLdjZWREensjXX5/h558nmnTZAwd6sGbNOU6cuI2FhRlLl/YmNHQknTr9QHa2ruAFBfVlxIjmPPNMKGlpuXz6aX+2bvWnX79tRo+vZ891mJtrSj97ejZm797n+fHHKKMvuypKbquqODvbcPToSxw4cJ0nn9xMUlIW7do14O7de4rEc/NmOvPm7eXy5RQ0Gpg8uRvbt/+N7t2/IDIyyejLt7OzJDz8Nl9/fZaffx6r952trQU9eriyZEkY4eFJ1K9vzcqVQ9ixYxw9e240emxKbys1r5sS587dZujQ70s/FxQUmWzZVfnqq+F4ejbixRd3cetWJi+88Dh7906kU6e13LqVabTl3ryZzbx5Z7h8OaN4P2rN9u0D6N49mMjINAC+/PIy778fUfo3JcdrU5k715fAwB5MnryT8+eT8PZ2Z926kaSl5bB69UmTxlJCbeVHKbp9PYmvvz7Pzz+Pqna+MWPa4uPjTlyc8cpybeMJDo5m6tRfSz/n5hYaNabqeHt78Pe/exEenqDI8itSUzxqikVUT8l26s2bWcybd4rLl9PRaDRMntyG7dsH0737TiIjUwkK6smIEU155pmDpKXl8+mnvdm6dRD9+gWbNE5QR3lWYz2qVLsH1N9OVfocpyK19x/Y2loSEhJLSEgsy5f7mDQ+tW0rNVJqXx840I01ay5w4kQyFhYali7tQWjoE3TqtK207Gzc2A9nZytGjdpHcnIOkya1ZsuWgXh7/8KZMylGi62Ekv1Palw/NbXjW7d24siRiaxde46FC8NIT8/j8ccbkpNjmnNTNfUXKt3fcz9qaPeUp7Z41ECN5UfJdmFV1NTfo7a2hpquVaht3aiFt3d9/v73VoSHp+pNDwrqwogRbjzzzB/F58hd2brVh379Dhk8hpraGba2FoSGDiM8/C6DB4cAsGRJD3buHIKPzy60WoOHpLjx48eTl5fHhg0baN26NYmJiezbt487d+4oHZp4KPJ4EQGEhFwhJOSKIst+8sldep+nTNlPUtJUvLwac/hwPI6OVkyf3pFJk/Zy4EAcAFOnHuDChefo3duV48cTjRpfcnK23ud58/pw5UoKhw7dMOpyq6PktqrK3Lm+xMamM23aL6XTYmLSFIvnl18u6X1esGA/gYHe+Pg0NUnjKiQkmpCQ6Cq/S0/P44kntuhNmzlzLydOvESzZg7ExmYYNTalt5Wa102JggItiYlZJllWTWxsLBg/vj2jR2/l8OGbACxefJSnn25DYGA33nvviNGW/csvcXqfFywIJzCwHT4+jUqTLrKzC0lMzDFaDDXp06cp27dfYvdu3fHw+vU0nnvucXr18qjhL41HTeVHSSEhMYSExNx3Hg8Pe1avHoS//1Z27RqjeDy5uYUkJmbfdx5js7Oz5LvvxvHKKztZsGCAorGoLR41xSLuT8l26i+/3NT7vGDBnwQGdsTHpzE3b2YxfXo7Jk36jQMHdB3sU6ce5cKFsfTu3Zjjx03XAaeW8qy2elTJdg+ov52q9DlORWruPwBYuVKXGDxwoOnLs9q2ldooua8/+eQevc9TphwhKek5vLwacviwrl+pTx8XAgOPceJEMgAffBDB7Nmd8PJqaJKkCyX7n9S4fmpqx3/wQV92745m7tzDpdOuXTNdH4ea+guV7u+pjlraPWqNRy3UVn6UbhdWRU39PWpra6jpWoXa1o0a2NmZ89133rzyymkWLOhYOt3R0YLp01syadIfHDigWzdTp57iwoUn6N27PseP3zVoHDW1M/r2daFlS3u6d99JRobuYvTkyYe5e3cSgwe7s29fvEHjUVpqaiqHDx/m4MGDDBw4EIAWLVrQq5duJOmYmBhatWrFn3/+Sbdu3Ur/pn79+hw4cAA/Pz8OHjzIoEGD2Lt3L3PnziUyMpJu3bqxbt06OnRQfnT8vy55vIhQmZKhP1NScgHw8mqMlZU5e/eWdaRevJjK9esZ+Pq6mjQ2S0szXnjBk6+/DjfpctVs1Kh2nDwZz5Yt40hMnMXp09N5+eVuSocF6IZNnjjxcezsLDl2LFbpcKrk5GRNUZGW1NRcoy9LzduqKqZcNyXatatPXNw/uHr1Nb79djTNmjnW/EdGYmFhhoWFWaW7dO7dK6Bfv6Ymi0O3H7XAzs6CY8fKTlCef74lSUnjOXt2BEuXdqNePXOTxQQQFnaTIUNa0q5dAwC6dHGhX7+mBAdfNWkc5amp/KiZRgPffDOcjz46SWSkOrK3/fyakpgYwIULU/jssyE0aGD64QvXrHmKXbsus29f1Rf9TE1N8agpFvFo0NVdrYrrrtt4eTUsPp8o66i5eDGN69cz8fVtbNLY1FKe1VaPqqXdU1tKtFNLPArnOKZUsf9ATWRbVaamfb2qshMWdpuJE1tRv74VGg1MnNgKGxtzDh40/R3xSvc/qX39aDQwYkRrLl26S0jIOBITA/j99+fu+2hDY1J6e6m1v0ct7Z4SaotHLdRWftRUV5RQa3+PtDWqJ+tGZ82abuzalcC+ffpJJ15e9bGyMmPv3rLpFy9mcv16Nr6+DY0eV8V2hrW1GVqt/sizOTmFFBVp6dfPtNcATcHe3h57e3u2bdtGbu7DncfMnz+f//u//+PkyZNYWFgwbdo0A0Up6kYeLyJURKOBTz7py5Ej8Zw/r8uSd3OzJTe3kLS0PL15ExOzcXOzNWl8Y8Z0wNnZhvXrI2qe+S+idev6BAZ68fHHx1m69Cg9e3qwatUT5OUVsnHjWUVi8vR04dix6djYWJCZmcfYsZuJikpWJJb7sbY258MPB7JpUxQZGXk1/8FDUuO2qo6p1w3A8eO3mDJlJxcvpuDubs/Chf05fPglPD2/JDPTNDGUl5mZR1hYHO+914eoqBQSE7N47rnH8PX14MqVVKMv39PTmWPHnsDGxpzMzALGjv2NqKh0AL7/Pobr17O4deseXbo48+GH3enQwYHx4w/X8KuGs3x5GI6O1ly4EEBhYRHm5mbMn3+Q778/b7IYylNb+VGzuXN7UlBQxKpVfyodCqC7g27r1stER6fTpo0TS5f2Izh4HL6+mygqMs34hRMnPk6PHu707PkfkyyvJmqKR02xCPXT1V0jytVd+4mKSqNbtwbVnE/cw82tnsniU1N5Vls9qnS750Eo0U6FR+ccx5Sq6j9QA9lW1VPLvq4rO704ciSR8+fLlvvss4fYvHkgKSmTyM8vIju7gLFjD3D1qmlGXixPyf6nR2H9uLjY4uBgxbx5vViw4Chz5x5m+PCWbN06ikGDfuS3327W/CMGpHR/oRr7e9TU7gH1xaMmais/aqkrSqixv0faGtWTdVNm4sSm9OjhTM+eByp95+ZmXXyOrP+Ig8TEHNzcrI0aV1XtjN9/TyIrq4APP/Tm3XdPodFoWL7cCwsLM9zdTXfObioWFhasX7+eV155hX//+9/06NGDgQMH8re//Y0uXbo80G998MEHpaNlzJs3jxEjRpCTk4ONjelvKBMA94Da3Jyq/CPg6kqSLh4ha9YMwNOzAf36bVM6lCpNn96V4OCrxMeb/tlxamVmpuHkyXjmzz8IwJkziXh6NiYgoIdiJ3YXLybTrdu/cXKyYcKETmzYMIaBA9erqoFlYWHGli2j0Wg0BAaGmmSZatxWVVFi3QCEhJTd2Xn27G2OH4/j+vWZPPvsY4rdrfLii7v4+usnuXXrNQoKijh9OpFNm6Lw8nIz+rIvXkynW7fdODlZMWFCczZs8GXgwD1ERaXzn/+UDRt47lwq8fH32L9/KK1b23PtmmmOj88+24nnn/dk0qRtnD+fRLdurnzyyTBu3cpQpDyrsfyoUY8eLrzxRg969PhW6VBKbd58sfT9uXPJREQkc+3adPz8mrJ/v/Hvhmja1JGVK4czbNg3ehn9SlFTPGqKRTwadHXXjuK6qwUbNvRn4MBgpcMC1Fee1VaPgrLtntpSqp0Kj8Y5jqmptf9AttX9qWFfX7PGB0/P+vTrt1tv+pIl3XF2tmLIkF9JTs5hzJjmbNniR//+uzl3LtVk8YGy/U+PwvoxM9MAsH37VT755DQA4eFJ9OnjQUBAF5MnXSjdX6i2/h61tXvUFo/aqK38gDrqihJq7O+Rtkb1ZN3oNG1aj5UruzBs2BFyc4uUDkdPVe2M5ORcnnnmIJ9/7sM//vEYRUVaNm2K5tSpZJPdEGVq48ePZ8SIERw+fJjff/+d4OBgVqxYwVdffYWfn1+tf6d8koa7uzsAt2/fpnnz5oYOWdTK//7jRSTp4hGxenU/Ro5swYAB24iLK3tGWkJCNtbW5jg5WendnebqaktCgumev968uSNDh7Zi3LifTLbMR0F8fCaRkfqNlqioZMaP71jNXxhffn4RV6/qnjt2+nQ8PXt68MYbPgQE/FLDX5qGrrN2FC1aODJ48A8mu0NOjduqIqXWTVXS0nK5dCmFtm3rKxbDtWup+PltwtbWEkdHKxISsvjhh1Fcu5Zq9GXr9iNdh9Hp0yn07NmAN97oSEDAH5XmPX5cV67atnUwWdLFRx8NYfnyMDZvjgTg3LkkWrRw4p13+qgiiUgN5UeN+vdvgouLLTduvFI6zcLCjP/7v4HMmtWDVq3WKhidTnR0GklJ2bRt62ySpAsvL3dcXe05ffrvpdMsLMwYMKAFM2f2wtr6XyY9wVRTPGqKRTwadHWX7m7b06fv0LNnI954oxObN0dXcz5Rj4QE09xdoLbyrMZ6VMl2T20o3U5V+zmOqVXXf6AGsq3uT+l9ffXq3owc2YwBA4KJiyvrU2rd2oHXX3+Mxx/fRmSkLpaIiLv07+/KjBmPERh4zCTxgbL9T4/C+gFITr5Hfn5hpccVRkWl0K+fh0ljUUN/odr6e9TW7lFbPGqjtvIDytcV96OG/h5pa1RP1o2Ol5czrq42nD49uHSa7rjXiJkzW+Pvf7T4HNlSb7QLV1cbEhKM99i+6toZAHv23KJt2600bGhNQYGWtLQ84uMncu3a/+4joWxsbBg2bBjDhg3jvffe4+WXX2bhwoUcPqwbTVqrLaub8vPzq/wNS0vL0vcajS4ptahIXYk2fy0ljxepzXyPJkm6eASsXt2PsWNb4ee3g5gY/WEJT51KIi+vkCFDmrJ16zUA2rd3pkULB44dSzRZjFOnduX27Wx27bpssmU+Co4ejaVDhwZ609q3b8D162kKRVSZmZkGa+vaDOljfCWdte3a1WfQoB9ISckx2bLVvq2UXDdVsbOzpE2b+nzzjfIX8LOz88nOzsfZ2Rp//5a8/fYhk8eg24/MqvyuWzdduYqPN92wWLa2FpU6RQoLtaV3PClNTeVHTb75Joq9e2/oTfv11/F8800k69YpM6R9RU2a2NOwYT3i401zAWffvmg8PT/Tm7Zu3WguXEjmww+PmrzzT03xqCkW8WgqaQOeOnWn+HzCna1brwPQvr0jLVrYc+xYUg2/YhhqK89qrkfV0O6pSG3tVFDXOY6p3a//QI3+ytvqfpTY11ev7s3Ysc3x8wshJkY/WdzWVreNqj42Gj00PUr1Pz0q6wd0F9VOnEikQwf9i57t29fn+nXTHhfU0F+otv4etbV71BaP2qit/JSnxnahGvt7pK1Rvb/qutm3LwlPz71609at8+LChQw+/PASsbHZ5OUVMWRIY7ZuvQVA+/b2tGhhy7Fjd6r6yYd2v3ZGeXfu6JI+Bg1yw8XFhh07jH9DlFp06tSJbdu20bhxYwDi4+Pp3r07AGfOnFEwMlF7MtKFQNdYaNu2rHHVqlV9unZ1JSXlHrGx6UZd9po1/Zk0qR2jRweTkZGHq6vuGU1paXnk5BSSnp7H2rUX+PjjPqSk5JCensfq1f0JC0vg+HHTJF1oNLqTqA0bIigsVLYhruS2qkpQ0B+EhU3mnXf6sGVLFL16efDqq9159dXdNf+xESxdOoTg4MvcuJGGg4M1kyZ1xs+vJf7+phnKXrd9yk76W7VypmtXF1JS7hEfn8V//zuaHj1cGTnyJ8zNzXB1tQMgJeUe+fnGzUBUeluped2A7o7PnTsvc/16Gh4e9ixePIDCwiI2bYo0+rKr88QTLdFoNFy8mELbts589JEfFy6ksG6dcU/sli7tRnDwLW7cyMLBwZJJk1ri5+eKv/9+Wre2Z9KkluzefYs7d3Lp0sWZoCAvDh1K5OzZVKPGVd7OnZeZP78vN26kc/58Et27u/Hmm70UG9pRjeVHKbp93bn0c6tWTnTt2piUlBxiYzMqXajKzy8kISGLS5fumjyelJQcFi705aefLpOQkEWbNk6sWDGAK1dS+fXX60aJp6LMzDzOn9e/6JuVlc+dO/cqTf+rxaOmWETtKNlOXbq0B8HBccV1lwWTJrXGz88Nf/9Q0tPzWbv2Mh9/3JOUlFzS0/NZvbo3YWG3OX7cNGVJbeVZbfUoKNfuAfW3U5U+x6lIzf0HoBvFxs3NlrZtnQDo3LkhGRl53LiRyd27xrtzD9S3rdRIqX19zRofJk1qzejR+8jIKKhUdi5cSOPy5XS++MKXOXNOcudOLmPGNGfYMA9Gjtxbw68bjlL9T2pcPzWdV3z00Uk2bx7Bb7/FceBALMOHt+Tpp1vj57fFKPFURS39hUr391SktnaP2uJRG7WVH1C2XViR2vp71NbWUNO1CrWtGyVlZhZw/rz++s/KKuDOnbzS6WvXxvDxx11ISckjPb2A1au7EhZ2h+PHDd8/V1M7A2DKlLZERaWRlJSDr29jVq7sRVDQeS5dMv01L2O7c+cOzzzzDNOmTaNLly44ODhw8uRJVqxYwejRo6lXrx4+Pj4sX76cVq1acfv2bRYsWKB02KJW8qndSBe1mUedJOmiFry9PTh4cErp56AgfwDWrz/D1Knbjbrs117zBODQoTF606dM2c+GDbrnrM+ercs6/uknf6ytzfn111hee+03o8ZV3tChrWjRwknRTsgSSm6rqpw8Gc/Ysf9l2bJBvP9+f6KjU5k1aw/ff6/MHcsuLnZs3DgWd3d70tJyiYhIxN//W/buvWaS5Xt7u3Hw4HOln4OCdEN4rV9/lkWLjjJ6dDsAwsOn6v2dn98mDh0ybtam0ttKzesGoGlTBzZtGkPDhvVISsrmyJFYfHzWk5xsuscYVeTkZM2yZQNo2tSBlJQcfvrpEvPn/0ZBgXE7911crNm40Rd393qkpeUTEXEXf//97N2bQNOmtgwd6sasWR2xs7MgNjaLn36K5V//Mu2J7+uvh7JkyUA++2w4Li623LqVyRdf/Mk//3nYpHGUUGP5UYq3tysHDz5b+jkoyA+A9evPM3Xqr6qKJzBwH126NGLy5E44O1tz61YmoaHXee+9MPLy5Fm/QjwoJdupLi42bNzYv7juyiuuu0LZuzcegNmzTxSfTwzC2tqMX3+9xWuv/W7UmNRMbfUoKNfuAfW3U5U+x6lI7f0HAQGPs2hRz9LvDh8eU2keY1HbtlIjpfb1117TDZN/6NCTetOnTDnChg1XKCjQ8tRTe1i+3IudO4dgb2/BlSsZTJ58mODgOKPGVp5S/U9qXD81nVds23aFgIC9vPNOL1atGsTFiymMH7+To0dvGSWeqqilv1Dp/h7xaFNj+VGyXViR2vp71NbWUNO1CrWtG7WbPTui+BzZp/gcOZHXXjtjlGXV1M4A6NDBiWXLvGjQwIqYmEw++CCCoKD/zZvZ7O3t6d27N0FBQVy9epX8/HyaNWvGK6+8wrvvvgvA119/zfTp0/Hy8qJDhw6sWLGCJ554QuHIRc1kpAsBHDp0HY1msSLL1mg+r3Ge3NxCZs48zMyZynQC7tkTjUbzgSLLrkjJbVWdXbuusGvXFaXDAODll3couvxDh2LRaFZU+/39vjMFJbeV2tfNc89tU3T5Vfnxx4v8+KNxO4ar8vLLx6v97ubNbPz8THenV3UyM/OYPXsPs2fvUToUQJ3lRymHDt1Eo/m41vO3arXWiNHUHM/w4VuNuvy6GDRog9Ih6FFTPGqKRVSmZDv15ZfD7vu97nziODNnVl/HmZqS5Vlt9Sgo1+4B9bdTlT7HqUjt/QeLF59k8eKTJoimMrVtKzVSal/XaNbXOM+VKxlMmHDQ6LHcj1L9T2pcP7U5r1i37ryijylUU3+hmvrmqqK2drza4lGa2sqPku3CitTW36O2toaarlWobd2ozaBB+tfWcnOLmDkznJkzjZ84WJt2xjvvnOKdd04ZPRY1sLa2ZtmyZSxbtqzaeR577DHCwvT7ObTaslG1/Pz89D4DdOvWrdI0YWoF1G4UC0m6EEIIIYQQQgghhBBCCCGEEEIIIYQoR0a6EEIIIYQQQgghhBBCCCGEEEIIIYSog3xqN9JFbeZRJ0m6EEIIIYQQQgghhBBCCCGEEEIIIYQRSNKFEEIIIYQQQgghhBBCCCGEEEIIIUQdyONFhBBCCCGEEEIIIYQQQgghhBBCCCHqoIDajWIhSRdCCCGEEEIIIYQQQgghhBBCCCGEEOXISBdCCCGEEEIIIYQQQgghhBBCCCGEEHWQT+3SEmozGoY6SdKFEEIIIYQQQgghhBBCCCGEEEIIIYxARroQQgghhBBCCCGEEEIIIYQQQgghhKiDAmo3ioUkXQghhBBCCCGEEEIIIYQQQgghhBBClCMjXQghhBBCCCGEEEIIIYQQQgghhBBC1EE+YF7L+R5NGq1Wq1U6CGOLj4/nyy+/ZOzYsTRu3FjpcMQj5PLlyxw4cIBBgwbRrl07pcMRjxgpP6KupOyI/xVSlsXDkPIj6krKjvhfIuVZ1JWUHfG/RMqzqCspO+JhSPkR/yuSkpL4+eefefXVV3F3d1c6HPEXk56ejpOTEzAbsK7FX+QCQaSlpeHo6Gjc4AzsL5F0kZaWxpo1a8jPf3SzY4QQQgghhBDi/2/v3oOiKh83gD/LIiyXSMQLSIACgpoCbRiiJYEgpJiQhtIWKGHjrRhLR9GUS1pRmUZ2MUVQQ8DUEC/YhaSM0cQLeIlBLchMSAfpgoiKvL8//LFftzVFgj277vOZ2RnOOe8587zDO+95d897ziEiIiIiIiIiuhtdunTBzJkz///iN5HuNDU1oW/fvqitrW3zPvb29qiqqoJCoejEZB3PKCZdADcmXjQ2NkodgwxQc3MzTE35Jh5qH7Yfai+2HbpXsC3Tf8H2Q+3FtkP3ErZnai+2HbqXsD1Te7Ht0H/B9kP3CktLS064IMk0NTXh6tWrbS5vZmZmcBMuACOadEFERERERERERERERERERETUkUykDkBERERERERERERERERERERkiDjpgoiIiIiIiIiIiIiIiIiIiKgdOOmCiIiIiIiIiIiIiIiIiIiIqB046YKI7mkymQz5+flSxyAiIiIiorvAcTwRERERERERGQpOuiCdmjx5MiIiIqSOQQZm8uTJkMlkWp/Tp09LHY30WGu7mTZtmta2mTNnQiaTYfLkyboPRgZn3759kMvlGDNmjNRRiO4K+0HqKBzDU0dgOyJDxvEgtdeFCxcwffp0ODs7w9zcHPb29ggNDUVJSYnU0Yja5ddff0VcXBx69+4NMzMzuLi4ICEhAXV1dW3av7i4GDKZDH/88UfnBiW90fq99M0339RYn5+fD5lMJlEqMgQ3XxPo0qULevXqhZCQEKxduxYtLS1SxyMi0sJJF0RkEMLCwlBTU6Px6du3r9SxSM85OTkhNzcXly9fVq9ramrCxo0b4ezs/J+Ofe3atf8ajwxERkYGXnzxRXz33Xc4d+7cfzrW9evX+cWQdKoz+0EiIiJj0ZHjQTIu48ePx5EjR7Bu3TqcPHkSBQUFePzxx9t8gZpIn/z888/w9fXFqVOnkJOTg9OnT+Pjjz9GUVER/P39cfHiRakjkp5SKBRIS0tDfX291FHIwLReE6iurkZhYSECAwORkJCA8PBwNDc3Sx2PiEgDJ12QZHbv3o1HH30UXbt2hZ2dHcLDw/HTTz+pt1dXV0Mmk2Hr1q0IDAyEpaUlvL29sW/fPglTk1Ra7wi5+SOXy7Ft2zYolUooFAq4uroiJSVFa8BVU1ODJ554AhYWFnB1dcXmzZslqgXpmlKphJOTE7Zu3apet3XrVjg7O+Ohhx5Sr2trf5SXl4eAgAAoFApkZ2frtC4kjYaGBuTl5WH69OkYM2YMsrKy1Nta79DZuXMnvLy8oFAoMHToUBw/flxdJisrC127dkVBQQEGDhwIc3NznDlzRoKakLHqqH4wKCgIs2bN0jj2hQsXYGZmhqKios6vCOmNPn36YMWKFRrrfHx8kJycrF6WyWRYs2YNIiMjYWlpiX79+qGgoEC3QUmvtaUdEemL240HW8d6N7vVnbtLlixBz549cd999yE+Ph7z58+Hj49P54cnSf3xxx/Yu3cv0tLSEBgYCBcXFzzyyCNITEzEk08+qS4THx+PHj16wMbGBkFBQSgvL1cfIzk5GT4+Pli1ahWcnJxgaWmJqKgo/Pnnn1JVi4zYzJkzYWZmhi+//BIBAQFwdnbGE088ga+//hq//fYbFi5cCAC4cuUK5s2bBycnJ5ibm8Pd3R0ZGRmorq5GYGAgAMDW1pZP3jMiwcHBsLe3xxtvvPGvZbZs2YIHH3wQ5ubm6NOnD5YtW6betmDBAvj5+Wnt4+3tjdTU1E7JTPqh9ZqAo6MjlEolFixYgG3btqGwsFA9JrvTuRQAtm/fjiFDhkChUKB79+6IjIyUoDZEdK/jpAuSzKVLl/Dyyy/j4MGDKCoqgomJCSIjI7XuAF64cCHmzJmDsrIyeHh4IDo6mrMYCQCwd+9exMTEICEhAT/++CNWrVqFrKwsLF26VKPcokWLMH78eJSXl0OlUmHSpEmoqKiQKDXpWlxcHDIzM9XLa9euxZQpUzTKtLU/mj9/PhISElBRUYHQ0FCd5Cdpbdq0Cf3794enpyeeffZZrF27FkIIjTJz587FsmXLUFpaih49emDs2LEaT0JpbGxEWloa1qxZgxMnTqBnz566rgYZuY7oB+Pj47Fx40ZcuXJFvc+nn34KR0dHBAUF6aYiZFBSUlIQFRWFo0ePYvTo0VCpVLz7kYgMUlvGg7eTnZ2NpUuXIi0tDYcOHYKzszM++uijTkxM+sLa2hrW1tbIz8/XGEPd7Omnn8b58+dRWFiIQ4cOQalUYuTIkRrnzNOnT2PTpk3Yvn07du/ejSNHjmDGjBm6qgYRAODixYv44osvMGPGDFhYWGhss7e3h0qlQl5eHoQQiImJQU5ODtLT01FRUYFVq1bB2toaTk5O2LJlCwCgsrISNTU1eO+996SoDumYXC7H66+/jvfffx9nz57V2n7o0CFERUVh0qRJOHbsGJKTk7Fo0SL1RXWVSoUDBw5o3Bhw4sQJHD16FM8884yuqkF6IigoCN7e3uqbS+50Lt25cyciIyMxevRoHDlyBEVFRXjkkUekrAIR3asEkQ7FxsaKcePG3XLbhQsXBABx7NgxIYQQVVVVAoBYs2aNusyJEycEAFFRUaGLuKQnYmNjhVwuF1ZWVurPhAkTxMiRI8Xrr7+uUXbDhg3CwcFBvQxATJs2TaOMn5+fmD59uk6yk3Ra+5vz588Lc3NzUV1dLaqrq4VCoRAXLlwQ48aNE7Gxsbfc99/6oxUrVuiwBqQPhg0bpv6/X7t2TXTv3l3s2bNHCCHEnj17BACRm5urLl9XVycsLCxEXl6eEEKIzMxMAUCUlZXpPDtRR/aDly9fFra2tuq2LYQQXl5eIjk5WRdVIYndPIZ3cXERy5cv19ju7e0tkpKS1MsAxKuvvqpebmhoEABEYWGhDtKSvmpPO/r88891lo/o39xuPJiZmSnuv/9+jfKff/65uPnnNj8/PzFz5kyNMsOHDxfe3t6dGZv0xObNm4Wtra1QKBRi2LBhIjExUZSXlwshhNi7d6+wsbERTU1NGvu4ubmJVatWCSGESEpKEnK5XJw9e1a9vbCwUJiYmIiamhrdVYSM3v79+297bn733XcFAPHDDz8IAOKrr766ZbnW79H19fWdF5b0ys1jwKFDh4q4uDghhOb58plnnhEhISEa+82dO1cMHDhQvezt7S1SU1PVy4mJicLPz6+T05OUbnctaeLEiWLAgAFtOpf6+/sLlUrV2XGJiASfdEGSOXXqFKKjo+Hq6gobGxv06dMHALQeu+7l5aX+28HBAQBw/vx5neUk/RAYGIiysjL1Jz09HeXl5UhNTVXfPWJtbY2pU6eipqYGjY2N6n39/f01juXv788nXRiRHj16qB8DnJmZiTFjxqB79+4aZdraH/n6+uoqNumByspKHDhwANHR0QAAU1NTTJw4ERkZGRrlbu5junXrBk9PT40+xszMTONcRqRrHdEPKhQKPPfcc1i7di0A4PDhwzh+/DgfB0z/6uZ+z8rKCjY2NhzDE5HBaet48E7H+OfdlLy70niMHz8e586dQ0FBAcLCwlBcXAylUomsrCyUl5ejoaEBdnZ2Gr9rVFVVadzN7ezsDEdHR/Wyv78/WlpaUFlZKUWVyMiJOzzpp7q6GnK5HAEBATpKRIYkLS0N69at0/pdtqKiAsOHD9dYN3z4cJw6dQrXr18HcONpFxs3bgRwox3m5ORApVLpJjjpHSEEZDJZm86lZWVlGDlypMSJicgYmEodgIzX2LFj4eLigtWrV6N3795oaWnBoEGDcPXqVY1yXbp0Uf/d+l7Ufz7yn+59VlZWcHd311jX0NCAlJQUPPXUU1rlFQqFrqKRAYiLi8OsWbMAAB988IHW9rb2R1ZWVjrJS/ohIyMDzc3N6N27t3qdEALm5uZYuXJlm49jYWGh9V5vIl3riH4wPj4ePj4+OHv2LDIzMxEUFAQXFxed1YH0g4mJidaP7Te/UqnVzWN44MY4nmN4atXWdkQktTuNB9mWqS0UCgVCQkIQEhKCRYsWIT4+HklJSZgxYwYcHBxQXFystU/Xrl11npPodtzd3SGTyVBRUYHIyEit7RUVFbC1tdV69QjRzUaMGIHQ0FAkJibe9QT+6OhozJs3D4cPH8bly5fx66+/YuLEiZ0TlPReRUUF+vbti4aGhjueS9kvEZGucNIFSaKurg6VlZVYvXo1HnvsMQDA999/L3EqMjRKpRKVlZVakzH+af/+/YiJidFYfuihhzo7HumRsLAwXL16FTKZDKGhoRrb2B/RrTQ3N2P9+vVYtmwZRo0apbEtIiICOTk56N+/P4AbfYqzszMAoL6+HidPnsSAAQN0npnodjqiHxw8eDB8fX2xevVqbNy48a4mH9G9o0ePHqipqVEv//XXX6iqqpIwERkitiMyBG0ZD7q4uODvv//GpUuX1BO0y8rKNMp6enqitLRU4ztpaWlpp+cn/TVw4EDk5+dDqVSitrYWpqam6qeM3cqZM2dw7tw59eSf/fv3w8TEBJ6enjpKTATY2dkhJCQEH374IWbPnq1xEbO2thbZ2dmIiYnB4MGD0dLSgm+//RbBwcFaxzEzMwMA9dMLyPi8+eab8PHx0ejDBgwYgJKSEo1yJSUl8PDwgFwuBwA88MADCAgIQHZ2Ni5fvoyQkBD07NlTp9lJP3zzzTc4duwYZs+ejQceeOCO51IvLy8UFRVhypQpug1KREaHky5IEra2trCzs8Mnn3wCBwcHnDlzBvPnz5c6FhmYxYsXIzw8HM7OzpgwYQJMTExQXl6O48ePY8mSJepyn332GXx9ffHoo48iOzsbBw4cuKvHwZLhk8vl6kcXtn5Za8X+iG5lx44dqK+vx/PPP4/7779fY9v48eORkZGBt99+GwCQmpoKOzs79OrVCwsXLkT37t0REREhQWqif9dR/WB8fDxmzZoFKyurW97hRve+oKAgZGVlYezYsejatSsWL16s1aaI7oTtiAxBW8aDX3zxBSwtLbFgwQK89NJL+OGHH5CVlaVR9sUXX8TUqVPh6+uLYcOGIS8vD0ePHoWrq6sOa0NSqKurw9NPP424uDh4eXnhvvvuw8GDB/HWW29h3LhxCA4Ohr+/PyIiIvDWW2/Bw8MD586dw86dOxEZGal+vaVCoUBsbCzeeecd/PXXX3jppZcQFRUFe3t7iWtIxmblypUYNmwYQkNDsWTJEvTt2xcnTpzA3Llz4ejoiKVLl6Jbt26IjY1FXFwc0tPT4e3tjV9++QXnz59HVFQUXFxcIJPJsGPHDowePRoWFhawtraWumqkQ4MHD4ZKpUJ6erp63SuvvIIhQ4bgtddew8SJE7Fv3z6sXLkSH374oca+KpUKSUlJuHr1KpYvX67r6CSBK1euoLa2FtevX8fvv/+O3bt344033kB4eDhiYmJgYmJyx3NpUlISRo4cCTc3N0yaNAnNzc3YtWsX5s2bJ3X1iOgeYyJ1ADIuLS0tMDU1hYmJCXJzc3Ho0CEMGjQIs2fPVl+8Imqr0NBQ7NixA19++SWGDBmCoUOHYvny5VqPOk9JSUFubi68vLywfv165OTkYODAgRKlJqnY2NjAxsZGaz37I7qVjIwMBAcHa/3ADtz4kf3gwYM4evQogBt3aSQkJODhhx9GbW0ttm/frr57h0ifdEQ/GB0dDVNTU0RHR/NVXkakdQwPAImJiQgICEB4eDjGjBmDiIgIuLm5SZyQDAHbERmatowHz549i08//RS7du3C4MGDkZOTg+TkZI2yKpUKiYmJmDNnDpRKJaqqqjB58mSeR42AtbU1/Pz8sHz5cowYMQKDBg3CokWLMHXqVKxcuRIymQy7du3CiBEjMGXKFHh4eGDSpEn45Zdf0KtXL/Vx3N3d8dRTT2H06NEYNWoUvLy8tC5EEulCv379cPDgQbi6uiIqKgpubm544YUXEBgYiH379qFbt24AgI8++ggTJkzAjBkz0L9/f0ydOhWXLl0CADg6OiIlJQXz589Hr1691K9AJOOSmpqq8epBpVKJTZs2ITc3F4MGDcLixYuRmpqq9QqSCRMmoK6uDo2NjbzZxUjs3r0bDg4O6NOnD8LCwrBnzx6kp6dj27ZtkMvlbTqXPv744/jss89QUFAAHx8fBAUF4cCBAxLXjIjuRTLxz5dPEnWisLAwuLu783HURERk8IqLixEYGIj6+nq+c5mMRnV1Ndzc3FBaWgqlUil1HNIRjuGpI7AdEf1PSEgI7O3tsWHDBqmjkJ5LTk5Gfn6+1mtriIiIiIhIv/D1IqQT9fX1KCkpQXFxMaZNmyZ1HCIiIiK6C9euXUNdXR1effVVDB06lBMujATH8NQR2I7I2DU2NuLjjz9GaGgo5HI5cnJy8PXXX+Orr76SOhoRERERERF1EE66IJ2Ii4tDaWkpXnnlFYwbN07qOERERER0F0pKShAYGAgPDw9s3rxZ6jikIxzDU0dgOyJj1/rY66VLl6KpqQmenp7YsmULgoODpY5GREREREREHYSvFyEiIiIiIiIiIiIiIiIiIiJqBxOpAxAREREREREREREREREREREZIk66ICIiIiIiIiIiIiIiIiIiImoHTrogIiIiIiIiIiIiIiIiIiIiagdOuiAiIiIiIiIiIiIiIiIiIiJqB066ICIiIiIiIiIiIiIiIiIiImoHTrogIiIiIiIiIiIiIiIiIiIiagdOuiAiIiIiIiIiIiIiIiIiIiJqB066ICIiIiIiIiIiIiIiIiIiImqH/wMpirCQvJmTQgAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 2500x300 with 2 Axes>"
       ]
@@ -359,10 +359,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:25.687937Z",
-     "iopub.status.busy": "2024-09-13T08:22:25.687509Z",
-     "iopub.status.idle": "2024-09-13T08:22:25.907987Z",
-     "shell.execute_reply": "2024-09-13T08:22:25.907395Z"
+     "iopub.execute_input": "2025-02-02T04:21:12.112873Z",
+     "iopub.status.busy": "2025-02-02T04:21:12.112485Z",
+     "iopub.status.idle": "2025-02-02T04:21:12.305518Z",
+     "shell.execute_reply": "2025-02-02T04:21:12.304998Z"
     },
     "tags": [
      "remove-input"
@@ -371,7 +371,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -407,10 +407,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:25.910235Z",
-     "iopub.status.busy": "2024-09-13T08:22:25.910038Z",
-     "iopub.status.idle": "2024-09-13T08:22:26.200456Z",
-     "shell.execute_reply": "2024-09-13T08:22:26.199847Z"
+     "iopub.execute_input": "2025-02-02T04:21:12.307516Z",
+     "iopub.status.busy": "2025-02-02T04:21:12.307189Z",
+     "iopub.status.idle": "2025-02-02T04:21:12.541139Z",
+     "shell.execute_reply": "2025-02-02T04:21:12.540586Z"
     },
     "tags": [
      "remove-input"
@@ -419,7 +419,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -455,10 +455,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:26.202646Z",
-     "iopub.status.busy": "2024-09-13T08:22:26.202439Z",
-     "iopub.status.idle": "2024-09-13T08:22:26.500289Z",
-     "shell.execute_reply": "2024-09-13T08:22:26.499693Z"
+     "iopub.execute_input": "2025-02-02T04:21:12.543037Z",
+     "iopub.status.busy": "2025-02-02T04:21:12.542741Z",
+     "iopub.status.idle": "2025-02-02T04:21:12.789410Z",
+     "shell.execute_reply": "2025-02-02T04:21:12.788822Z"
     },
     "tags": [
      "remove-input"
@@ -467,7 +467,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -502,10 +502,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:26.502813Z",
-     "iopub.status.busy": "2024-09-13T08:22:26.502352Z",
-     "iopub.status.idle": "2024-09-13T08:22:26.653273Z",
-     "shell.execute_reply": "2024-09-13T08:22:26.652654Z"
+     "iopub.execute_input": "2025-02-02T04:21:12.791183Z",
+     "iopub.status.busy": "2025-02-02T04:21:12.791004Z",
+     "iopub.status.idle": "2025-02-02T04:21:12.933655Z",
+     "shell.execute_reply": "2025-02-02T04:21:12.933150Z"
     },
     "tags": [
      "remove-input"
@@ -514,7 +514,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -547,10 +547,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:26.655694Z",
-     "iopub.status.busy": "2024-09-13T08:22:26.655476Z",
-     "iopub.status.idle": "2024-09-13T08:22:26.873041Z",
-     "shell.execute_reply": "2024-09-13T08:22:26.872479Z"
+     "iopub.execute_input": "2025-02-02T04:21:12.935623Z",
+     "iopub.status.busy": "2025-02-02T04:21:12.935276Z",
+     "iopub.status.idle": "2025-02-02T04:21:13.150781Z",
+     "shell.execute_reply": "2025-02-02T04:21:13.150189Z"
     },
     "tags": [
      "remove-input"
@@ -559,7 +559,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -604,10 +604,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:26.875489Z",
-     "iopub.status.busy": "2024-09-13T08:22:26.875015Z",
-     "iopub.status.idle": "2024-09-13T08:22:27.118257Z",
-     "shell.execute_reply": "2024-09-13T08:22:27.117626Z"
+     "iopub.execute_input": "2025-02-02T04:21:13.152871Z",
+     "iopub.status.busy": "2025-02-02T04:21:13.152547Z",
+     "iopub.status.idle": "2025-02-02T04:21:13.377278Z",
+     "shell.execute_reply": "2025-02-02T04:21:13.376758Z"
     },
     "tags": [
      "remove-input"
@@ -616,7 +616,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -672,10 +672,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:27.121024Z",
-     "iopub.status.busy": "2024-09-13T08:22:27.120429Z",
-     "iopub.status.idle": "2024-09-13T08:22:27.129061Z",
-     "shell.execute_reply": "2024-09-13T08:22:27.128526Z"
+     "iopub.execute_input": "2025-02-02T04:21:13.379322Z",
+     "iopub.status.busy": "2025-02-02T04:21:13.378971Z",
+     "iopub.status.idle": "2025-02-02T04:21:13.387155Z",
+     "shell.execute_reply": "2025-02-02T04:21:13.386710Z"
     },
     "tags": [
      "remove-input"
@@ -685,7 +685,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_746d5ef2_1609_4a6c_903a_c59aba7f786a\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_97932b56_b88b_4d2f_91a5_028e090b7fc8\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -695,7 +695,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -786,24 +785,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_97932b56_b88b_4d2f_91a5_028e090b7fc8:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_746d5ef2_1609_4a6c_903a_c59aba7f786a:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 7411, 41.0], [\"secure@intel.com\", 1026, 6.0], [\"psirt@us.ibm.com\", 943, 5.0], [\"secalert_us@oracle.com\", 707, 4.0], [\"secure@microsoft.com\", 704, 4.0], [\"product-security@qualcomm.com\", 670, 4.0], [\"secalert@redhat.com\", 580, 3.0], [\"support@hackerone.com\", 536, 3.0], [\"ykramarz@cisco.com\", 464, 3.0], [\"psirt@adobe.com\", 388, 2.0], [\"security@mozilla.org\", 350, 2.0], [\"ics-cert@hq.dhs.gov\", 338, 2.0], [\"talos-cna@cisco.com\", 336, 2.0], [\"security@android.com\", 287, 2.0], [\"security-alert@hpe.com\", 258, 1.0], [\"zdi-disclosures@trendmicro.com\", 246, 1.0], [\"chrome-cve-admin@google.com\", 245, 1.0], [\"security_alert@emc.com\", 241, 1.0], [\"psirt@huawei.com\", 226, 1.0], [\"product-security@apple.com\", 177, 1.0], [\"security@apache.org\", 175, 1.0], [\"vultures@jpcert.or.jp\", 172, 1.0], [\"cna@sap.com\", 130, 1.0], [\"security@opentext.com\", 122, 1.0], [\"cret@cert.org\", 111, 1.0], [\"f5sirt@f5.com\", 107, 1.0], [\"cybersecurity@se.com\", 90, 0.0], [\"security@atlassian.com\", 74, 0.0], [\"security@trendmicro.com\", 67, 0.0], [\"productcert@siemens.com\", 66, 0.0], [\"sirt@juniper.net\", 60, 0.0], [\"security@debian.org\", 56, 0.0], [\"psirt@lenovo.com\", 54, 0.0], [\"vulnreport@tenable.com\", 52, 0.0], [\"vulnerability@kaspersky.com\", 50, 0.0], [\"trellixpsirt@trellix.com\", 47, 0.0], [\"psirt@nvidia.com\", 38, 0.0], [\"security@vmware.com\", 35, 0.0], [\"secure@symantec.com\", 31, 0.0], [\"security@synology.com\", 30, 0.0], [\"security@qnapsecurity.com.tw\", 29, 0.0], [\"vuln@ca.com\", 27, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 25, 0.0], [\"psirt@paloaltonetworks.com\", 24, 0.0], [\"secteam@freebsd.org\", 22, 0.0], [\"security@tibco.com\", 22, 0.0], [\"bressers@elastic.co\", 19, 0.0], [\"psirt@zte.com.cn\", 18, 0.0], [\"security@puppet.com\", 18, 0.0], [\"openssl-security@openssl.org\", 17, 0.0], [\"psirt@fortinet.com\", 17, 0.0], [\"security-alert@netapp.com\", 16, 0.0], [\"emo@eclipse.org\", 16, 0.0], [\"larry0@me.com\", 15, 0.0], [\"security@ubuntu.com\", 15, 0.0], [\"cve-assign@fb.com\", 14, 0.0], [\"cve-request@iojs.org\", 14, 0.0], [\"sirt@brocade.com\", 14, 0.0], [\"hp-security-alert@hp.com\", 13, 0.0], [\"cve@checkpoint.com\", 12, 0.0], [\"report@snyk.io\", 10, 0.0], [\"security-report@netflix.com\", 10, 0.0], [\"security@marklogic.com\", 10, 0.0], [\"mlhess@drupal.org\", 10, 0.0], [\"vuln@krcert.or.kr\", 9, 0.0], [\"cve@rapid7.com\", 8, 0.0], [\"securityalerts@avaya.com\", 6, 0.0], [\"jordan@liggitt.net\", 6, 0.0], [\"secure@blackberry.com\", 6, 0.0], [\"browser-security@yandex-team.ru\", 3, 0.0], [\"hsrc@hikvision.com\", 2, 0.0], [\"cve@navercorp.com\", 2, 0.0], [\"patrick@puiterwijk.org\", 1, 0.0], [\"office@obdev.at\", 1, 0.0], [\"cybersecurity@dahuatech.com\", 1, 0.0], [\"PSIRT@sonicwall.com\", 1, 0.0], [\"vulnerability@cspcert.ph\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 7411, 41.0], [\"secure@intel.com\", 1026, 6.0], [\"psirt@us.ibm.com\", 943, 5.0], [\"secalert_us@oracle.com\", 707, 4.0], [\"secure@microsoft.com\", 704, 4.0], [\"product-security@qualcomm.com\", 670, 4.0], [\"secalert@redhat.com\", 580, 3.0], [\"support@hackerone.com\", 536, 3.0], [\"psirt@cisco.com\", 464, 3.0], [\"psirt@adobe.com\", 388, 2.0], [\"security@mozilla.org\", 350, 2.0], [\"ics-cert@hq.dhs.gov\", 338, 2.0], [\"talos-cna@cisco.com\", 336, 2.0], [\"security@android.com\", 287, 2.0], [\"security-alert@hpe.com\", 258, 1.0], [\"zdi-disclosures@trendmicro.com\", 246, 1.0], [\"chrome-cve-admin@google.com\", 245, 1.0], [\"security_alert@emc.com\", 241, 1.0], [\"psirt@huawei.com\", 226, 1.0], [\"product-security@apple.com\", 177, 1.0], [\"security@apache.org\", 175, 1.0], [\"vultures@jpcert.or.jp\", 172, 1.0], [\"cna@sap.com\", 130, 1.0], [\"security@opentext.com\", 122, 1.0], [\"cret@cert.org\", 111, 1.0], [\"f5sirt@f5.com\", 107, 1.0], [\"cybersecurity@se.com\", 90, 0.0], [\"security@atlassian.com\", 74, 0.0], [\"security@trendmicro.com\", 67, 0.0], [\"productcert@siemens.com\", 66, 0.0], [\"sirt@juniper.net\", 60, 0.0], [\"security@debian.org\", 56, 0.0], [\"psirt@lenovo.com\", 54, 0.0], [\"vulnreport@tenable.com\", 52, 0.0], [\"vulnerability@kaspersky.com\", 50, 0.0], [\"trellixpsirt@trellix.com\", 47, 0.0], [\"psirt@nvidia.com\", 38, 0.0], [\"security@vmware.com\", 35, 0.0], [\"secure@symantec.com\", 31, 0.0], [\"security@synology.com\", 30, 0.0], [\"security@qnapsecurity.com.tw\", 29, 0.0], [\"vuln@ca.com\", 27, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 25, 0.0], [\"psirt@paloaltonetworks.com\", 24, 0.0], [\"secteam@freebsd.org\", 22, 0.0], [\"security@tibco.com\", 22, 0.0], [\"bressers@elastic.co\", 19, 0.0], [\"psirt@zte.com.cn\", 18, 0.0], [\"security@puppet.com\", 18, 0.0], [\"openssl-security@openssl.org\", 17, 0.0], [\"psirt@fortinet.com\", 17, 0.0], [\"security-alert@netapp.com\", 16, 0.0], [\"emo@eclipse.org\", 16, 0.0], [\"larry0@me.com\", 15, 0.0], [\"security@ubuntu.com\", 15, 0.0], [\"cve-assign@fb.com\", 14, 0.0], [\"cve-request@iojs.org\", 14, 0.0], [\"sirt@brocade.com\", 14, 0.0], [\"hp-security-alert@hp.com\", 13, 0.0], [\"cve@checkpoint.com\", 12, 0.0], [\"report@snyk.io\", 10, 0.0], [\"security-report@netflix.com\", 10, 0.0], [\"security@marklogic.com\", 10, 0.0], [\"mlhess@drupal.org\", 10, 0.0], [\"vuln@krcert.or.kr\", 9, 0.0], [\"cve@rapid7.com\", 8, 0.0], [\"securityalerts@avaya.com\", 6, 0.0], [\"jordan@liggitt.net\", 6, 0.0], [\"secure@blackberry.com\", 6, 0.0], [\"browser-security@yandex-team.ru\", 3, 0.0], [\"hsrc@hikvision.com\", 2, 0.0], [\"cve@navercorp.com\", 2, 0.0], [\"patrick@puiterwijk.org\", 1, 0.0], [\"office@obdev.at\", 1, 0.0], [\"cybersecurity@dahuatech.com\", 1, 0.0], [\"PSIRT@sonicwall.com\", 1, 0.0], [\"vulnerability@cspcert.ph\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -838,10 +836,10 @@
    "id": "d41f70e4",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:27.131160Z",
-     "iopub.status.busy": "2024-09-13T08:22:27.130848Z",
-     "iopub.status.idle": "2024-09-13T08:22:27.136568Z",
-     "shell.execute_reply": "2024-09-13T08:22:27.136132Z"
+     "iopub.execute_input": "2025-02-02T04:21:13.388867Z",
+     "iopub.status.busy": "2025-02-02T04:21:13.388537Z",
+     "iopub.status.idle": "2025-02-02T04:21:13.394088Z",
+     "shell.execute_reply": "2025-02-02T04:21:13.393594Z"
     },
     "tags": [
      "remove-input"
@@ -851,7 +849,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_40bad9ec_d9e4_497b_8594_673d6237d3c3\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_897864db_1c98_4e51_bc41_5befc5b12ada\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -860,7 +858,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -951,24 +948,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_897864db_1c98_4e51_bc41_5befc5b12ada:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_40bad9ec_d9e4_497b_8594_673d6237d3c3:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"NVD-CWE-noinfo\", 2001], [\"CWE-79\", 1998], [\"Missing_Data\", 1643], [\"CWE-20\", 1163], [\"CWE-200\", 1016], [\"CWE-119\", 989], [\"CWE-787\", 791], [\"CWE-125\", 765], [\"CWE-190\", 693], [\"CWE-22\", 531], [\"CWE-89\", 501], [\"CWE-352\", 450], [\"CWE-416\", 405], [\"CWE-476\", 328], [\"CWE-78\", 322], [\"CWE-287\", 284], [\"CWE-732\", 217], [\"CWE-611\", 186], [\"CWE-310\", 170], [\"CWE-400\", 167], [\"CWE-434\", 167], [\"CWE-94\", 154], [\"CWE-798\", 141], [\"CWE-295\", 125], [\"CWE-502\", 119], [\"CWE-772\", 114], [\"CWE-522\", 113], [\"CWE-269\", 112], [\"CWE-863\", 105], [\"CWE-835\", 105], [\"CWE-362\", 103], [\"CWE-704\", 93], [\"CWE-264\", 85], [\"CWE-601\", 84], [\"CWE-426\", 76], [\"CWE-415\", 67], [\"CWE-918\", 67], [\"CWE-532\", 63], [\"CWE-862\", 61], [\"CWE-120\", 49], [\"CWE-77\", 48], [\"CWE-384\", 48], [\"CWE-284\", 47], [\"CWE-74\", 46], [\"CWE-59\", 46], [\"CWE-319\", 42], [\"CWE-326\", 41], [\"CWE-404\", 41], [\"CWE-306\", 41], [\"CWE-347\", 40], [\"CWE-770\", 36], [\"CWE-129\", 32], [\"CWE-327\", 29], [\"CWE-665\", 28], [\"CWE-369\", 27], [\"CWE-617\", 26], [\"CWE-311\", 26], [\"CWE-668\", 25], [\"CWE-640\", 24], [\"CWE-427\", 23], [\"CWE-255\", 23], [\"CWE-134\", 21], [\"CWE-693\", 19], [\"CWE-1236\", 19], [\"CWE-674\", 18], [\"CWE-254\", 18], [\"CWE-1188\", 18], [\"CWE-203\", 18], [\"CWE-338\", 17], [\"CWE-275\", 17], [\"CWE-312\", 17], [\"CWE-425\", 17], [\"CWE-191\", 17], [\"CWE-755\", 17], [\"NVD-CWE-Other\", 17], [\"CWE-428\", 16], [\"CWE-276\", 16], [\"CWE-346\", 15], [\"CWE-330\", 15], [\"CWE-399\", 15], [\"CWE-521\", 15], [\"CWE-824\", 15], [\"CWE-88\", 14], [\"CWE-908\", 12], [\"CWE-613\", 12], [\"CWE-345\", 12], [\"CWE-290\", 11], [\"CWE-320\", 11], [\"CWE-388\", 11], [\"CWE-834\", 10], [\"CWE-307\", 10], [\"CWE-1021\", 10], [\"CWE-444\", 10], [\"CWE-358\", 10], [\"CWE-843\", 9], [\"CWE-19\", 9], [\"CWE-193\", 9], [\"CWE-122\", 9], [\"CWE-829\", 9], [\"CWE-91\", 8], [\"CWE-639\", 8], [\"CWE-209\", 8], [\"CWE-285\", 8], [\"CWE-118\", 8], [\"CWE-682\", 8], [\"CWE-116\", 7], [\"CWE-754\", 7], [\"CWE-93\", 7], [\"CWE-401\", 7], [\"CWE-552\", 7], [\"CWE-459\", 7], [\"CWE-331\", 6], [\"CWE-294\", 6], [\"CWE-123\", 6], [\"CWE-185\", 6], [\"CWE-113\", 6], [\"CWE-417\", 6], [\"CWE-184\", 5], [\"CWE-916\", 5], [\"CWE-1321\", 5], [\"CWE-367\", 5], [\"CWE-121\", 5], [\"CWE-252\", 4], [\"CWE-281\", 4], [\"CWE-385\", 4], [\"CWE-172\", 4], [\"CWE-681\", 3], [\"CWE-670\", 3], [\"CWE-667\", 3], [\"CWE-909\", 3], [\"CWE-90\", 3], [\"CWE-470\", 3], [\"CWE-763\", 3], [\"CWE-17\", 3], [\"CWE-538\", 3], [\"CWE-917\", 3], [\"CWE-16\", 3], [\"CWE-131\", 3], [\"CWE-749\", 3], [\"CWE-354\", 3], [\"CWE-189\", 2], [\"CWE-436\", 2], [\"CWE-273\", 2], [\"CWE-592\", 2], [\"CWE-250\", 2], [\"CWE-441\", 2], [\"CWE-924\", 2], [\"CWE-335\", 2], [\"CWE-565\", 2], [\"CWE-706\", 2], [\"CWE-361\", 2], [\"CWE-642\", 2], [\"CWE-494\", 2], [\"CWE-178\", 2], [\"CWE-460\", 1], [\"CWE-534\", 1], [\"CWE-212\", 1], [\"CWE-471\", 1], [\"CWE-266\", 1], [\"CWE-838\", 1], [\"CWE-332\", 1], [\"CWE-288\", 1], [\"CWE-1187\", 1], [\"CWE-920\", 1], [\"CWE-407\", 1], [\"CWE-1333\", 1], [\"CWE-774\", 1], [\"CWE-405\", 1], [\"CWE-99\", 1], [\"CWE-321\", 1], [\"CWE-707\", 1], [\"CWE-117\", 1], [\"CWE-297\", 1], [\"CWE-610\", 1]];\n",
+       "        const data = [[\"CWE-79\", 2006], [\"NVD-CWE-noinfo\", 1867], [\"Missing_Data\", 1643], [\"CWE-20\", 1180], [\"CWE-200\", 949], [\"CWE-119\", 915], [\"CWE-787\", 744], [\"CWE-125\", 736], [\"CWE-190\", 686], [\"CWE-22\", 543], [\"CWE-89\", 500], [\"CWE-352\", 433], [\"CWE-416\", 416], [\"CWE-476\", 323], [\"CWE-78\", 298], [\"CWE-287\", 259], [\"CWE-732\", 202], [\"CWE-400\", 201], [\"CWE-611\", 185], [\"CWE-434\", 165], [\"CWE-311\", 163], [\"CWE-94\", 158], [\"CWE-798\", 129], [\"CWE-295\", 116], [\"CWE-264\", 115], [\"CWE-502\", 109], [\"CWE-522\", 107], [\"CWE-772\", 105], [\"CWE-835\", 103], [\"CWE-269\", 102], [\"CWE-362\", 98], [\"CWE-284\", 89], [\"CWE-863\", 88], [\"CWE-601\", 83], [\"CWE-426\", 75], [\"CWE-77\", 70], [\"CWE-918\", 64], [\"CWE-415\", 62], [\"CWE-532\", 61], [\"CWE-120\", 61], [\"CWE-121\", 59], [\"CWE-843\", 58], [\"CWE-862\", 57], [\"CWE-399\", 55], [\"CWE-306\", 51], [\"CWE-59\", 46], [\"CWE-704\", 44], [\"CWE-384\", 44], [\"CWE-506\", 44], [\"CWE-122\", 43], [\"CWE-74\", 41], [\"CWE-404\", 41], [\"CWE-319\", 39], [\"CWE-326\", 39], [\"CWE-347\", 35], [\"CWE-285\", 35], [\"CWE-310\", 32], [\"CWE-665\", 32], [\"CWE-129\", 32], [\"CWE-770\", 31], [\"CWE-693\", 29], [\"CWE-327\", 27], [\"CWE-369\", 27], [\"CWE-617\", 27], [\"CWE-255\", 23], [\"CWE-427\", 23], [\"CWE-640\", 21], [\"CWE-254\", 19], [\"CWE-1236\", 19], [\"CWE-276\", 19], [\"CWE-428\", 18], [\"CWE-674\", 18], [\"CWE-203\", 18], [\"CWE-346\", 17], [\"CWE-338\", 16], [\"CWE-134\", 16], [\"CWE-358\", 16], [\"CWE-275\", 16], [\"CWE-330\", 16], [\"CWE-668\", 15], [\"CWE-312\", 15], [\"CWE-191\", 15], [\"CWE-824\", 14], [\"CWE-345\", 14], [\"CWE-391\", 14], [\"CWE-425\", 13], [\"CWE-613\", 13], [\"CWE-521\", 13], [\"CWE-88\", 13], [\"CWE-19\", 13], [\"CWE-444\", 12], [\"CWE-209\", 12], [\"CWE-320\", 11], [\"CWE-639\", 11], [\"CWE-908\", 11], [\"CWE-1188\", 11], [\"CWE-755\", 11], [\"CWE-290\", 10], [\"CWE-592\", 10], [\"CWE-834\", 10], [\"CWE-307\", 10], [\"CWE-113\", 9], [\"CWE-294\", 9], [\"CWE-193\", 9], [\"CWE-388\", 9], [\"CWE-377\", 8], [\"CWE-91\", 8], [\"CWE-184\", 8], [\"CWE-682\", 7], [\"CWE-552\", 7], [\"CWE-16\", 7], [\"CWE-916\", 7], [\"CWE-250\", 7], [\"CWE-829\", 7], [\"CWE-118\", 7], [\"CWE-754\", 7], [\"CWE-93\", 7], [\"CWE-401\", 7], [\"CWE-1021\", 7], [\"CWE-822\", 6], [\"CWE-116\", 6], [\"CWE-300\", 6], [\"CWE-23\", 6], [\"CWE-331\", 6], [\"CWE-459\", 6], [\"CWE-288\", 6], [\"CWE-471\", 6], [\"CWE-80\", 6], [\"CWE-123\", 5], [\"CWE-367\", 5], [\"CWE-201\", 5], [\"CWE-417\", 5], [\"CWE-494\", 5], [\"CWE-325\", 5], [\"CWE-321\", 5], [\"CWE-385\", 5], [\"CWE-256\", 4], [\"CWE-212\", 4], [\"CWE-185\", 4], [\"CWE-749\", 4], [\"CWE-252\", 4], [\"CWE-538\", 4], [\"CWE-266\", 4], [\"CWE-172\", 3], [\"CWE-73\", 3], [\"CWE-789\", 3], [\"CWE-115\", 3], [\"CWE-248\", 3], [\"CWE-313\", 3], [\"CWE-917\", 3], [\"CWE-565\", 3], [\"CWE-598\", 3], [\"CWE-90\", 3], [\"CWE-354\", 3], [\"CWE-763\", 3], [\"CWE-460\", 3], [\"CWE-670\", 3], [\"CWE-17\", 3], [\"CWE-335\", 3], [\"CWE-131\", 3], [\"CWE-281\", 3], [\"CWE-274\", 2], [\"CWE-419\", 2], [\"CWE-441\", 2], [\"CWE-98\", 2], [\"CWE-1321\", 2], [\"CWE-922\", 2], [\"CWE-681\", 2], [\"CWE-214\", 2], [\"CWE-680\", 2], [\"CWE-126\", 2], [\"CWE-436\", 2], [\"CWE-329\", 2], [\"CWE-642\", 2], [\"CWE-361\", 2], [\"NVD-CWE-Other\", 2], [\"CWE-909\", 2], [\"CWE-610\", 2], [\"CWE-913\", 2], [\"CWE-924\", 2], [\"CWE-757\", 2], [\"CWE-189\", 2], [\"CWE-356\", 2], [\"CWE-178\", 2], [\"CWE-703\", 2], [\"CWE-470\", 2], [\"CWE-257\", 2], [\"CWE-548\", 2], [\"CWE-359\", 1], [\"CWE-602\", 1], [\"CWE-228\", 1], [\"CWE-360\", 1], [\"CWE-39\", 1], [\"CWE-282\", 1], [\"CWE-289\", 1], [\"CWE-920\", 1], [\"CWE-760\", 1], [\"CWE-130\", 1], [\"CWE-61\", 1], [\"CWE-489\", 1], [\"CWE-303\", 1], [\"CWE-332\", 1], [\"CWE-215\", 1], [\"CWE-437\", 1], [\"CWE-697\", 1], [\"CWE-124\", 1], [\"CWE-35\", 1], [\"CWE-350\", 1], [\"CWE-349\", 1], [\"CWE-838\", 1], [\"CWE-767\", 1], [\"CWE-304\", 1], [\"CWE-1187\", 1], [\"CWE-620\", 1], [\"CWE-625\", 1], [\"CWE-706\", 1], [\"CWE-177\", 1], [\"CWE-409\", 1], [\"CWE-509\", 1], [\"CWE-208\", 1], [\"CWE-378\", 1], [\"CWE-302\", 1], [\"CWE-799\", 1], [\"CWE-561\", 1], [\"CWE-194\", 1], [\"CWE-259\", 1], [\"CWE-923\", 1], [\"CWE-774\", 1], [\"CWE-407\", 1], [\"CWE-6\", 1], [\"CWE-769\", 1], [\"CWE-267\", 1], [\"CWE-99\", 1], [\"CWE-270\", 1], [\"CWE-379\", 1], [\"CWE-204\", 1], [\"CWE-297\", 1], [\"CWE-707\", 1], [\"CWE-117\", 1], [\"CWE-226\", 1], [\"CWE-405\", 1], [\"CWE-37\", 1], [\"CWE-456\", 1], [\"CWE-138\", 1], [\"CWE-623\", 1], [\"CWE-912\", 1], [\"CWE-341\", 1], [\"CWE-477\", 1], [\"CWE-258\", 1], [\"CWE-273\", 1], [\"CWE-410\", 1], [\"CWE-621\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1009,10 +1005,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:27.138538Z",
-     "iopub.status.busy": "2024-09-13T08:22:27.138362Z",
-     "iopub.status.idle": "2024-09-13T08:22:27.239846Z",
-     "shell.execute_reply": "2024-09-13T08:22:27.239221Z"
+     "iopub.execute_input": "2025-02-02T04:21:13.395786Z",
+     "iopub.status.busy": "2025-02-02T04:21:13.395496Z",
+     "iopub.status.idle": "2025-02-02T04:21:13.493570Z",
+     "shell.execute_reply": "2025-02-02T04:21:13.492962Z"
     },
     "tags": [
      "remove-input"
@@ -1075,10 +1071,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:27.241906Z",
-     "iopub.status.busy": "2024-09-13T08:22:27.241709Z",
-     "iopub.status.idle": "2024-09-13T08:22:27.245897Z",
-     "shell.execute_reply": "2024-09-13T08:22:27.245317Z"
+     "iopub.execute_input": "2025-02-02T04:21:13.495360Z",
+     "iopub.status.busy": "2025-02-02T04:21:13.495183Z",
+     "iopub.status.idle": "2025-02-02T04:21:13.499132Z",
+     "shell.execute_reply": "2025-02-02T04:21:13.498667Z"
     },
     "tags": [
      "remove-input"
@@ -1088,7 +1084,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:22:27.242605**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:21:13.495983**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1120,7 +1116,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVE2019.ipynb b/CVE2019.ipynb
index 5610ec285e..0309a4be24 100644
--- a/CVE2019.ipynb
+++ b/CVE2019.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:32.085645Z",
-     "iopub.status.busy": "2024-09-13T08:22:32.085207Z",
-     "iopub.status.idle": "2024-09-13T08:22:32.747712Z",
-     "shell.execute_reply": "2024-09-13T08:22:32.747125Z"
+     "iopub.execute_input": "2025-02-02T04:21:18.405351Z",
+     "iopub.status.busy": "2025-02-02T04:21:18.405172Z",
+     "iopub.status.idle": "2025-02-02T04:21:19.039145Z",
+     "shell.execute_reply": "2025-02-02T04:21:19.038542Z"
     },
     "tags": [
      "remove-cell"
@@ -101,10 +101,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:32.750309Z",
-     "iopub.status.busy": "2024-09-13T08:22:32.749852Z",
-     "iopub.status.idle": "2024-09-13T08:22:52.473147Z",
-     "shell.execute_reply": "2024-09-13T08:22:52.472587Z"
+     "iopub.execute_input": "2025-02-02T04:21:19.041290Z",
+     "iopub.status.busy": "2025-02-02T04:21:19.040898Z",
+     "iopub.status.idle": "2025-02-02T04:21:42.683718Z",
+     "shell.execute_reply": "2025-02-02T04:21:42.683156Z"
     },
     "tags": [
      "remove-cell"
@@ -227,10 +227,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:52.475749Z",
-     "iopub.status.busy": "2024-09-13T08:22:52.475358Z",
-     "iopub.status.idle": "2024-09-13T08:22:52.481521Z",
-     "shell.execute_reply": "2024-09-13T08:22:52.480979Z"
+     "iopub.execute_input": "2025-02-02T04:21:42.686048Z",
+     "iopub.status.busy": "2025-02-02T04:21:42.685654Z",
+     "iopub.status.idle": "2025-02-02T04:21:42.690880Z",
+     "shell.execute_reply": "2025-02-02T04:21:42.690313Z"
     },
     "tags": [
      "remove-input"
@@ -240,7 +240,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **18938**<br />Average CVEs Per Day: **52.03**<br />Average CVSS Score: **7.16**"
+       "Total Number of CVEs: **18938**<br />Average CVEs Per Day: **52.03**<br />Average CVSS Score: **7.15**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -275,10 +275,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:52.483970Z",
-     "iopub.status.busy": "2024-09-13T08:22:52.483605Z",
-     "iopub.status.idle": "2024-09-13T08:22:52.492780Z",
-     "shell.execute_reply": "2024-09-13T08:22:52.492157Z"
+     "iopub.execute_input": "2025-02-02T04:21:42.692825Z",
+     "iopub.status.busy": "2025-02-02T04:21:42.692384Z",
+     "iopub.status.idle": "2025-02-02T04:21:42.701046Z",
+     "shell.execute_reply": "2025-02-02T04:21:42.700479Z"
     },
     "tags": [
      "remove-cell"
@@ -310,10 +310,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:52.495227Z",
-     "iopub.status.busy": "2024-09-13T08:22:52.494885Z",
-     "iopub.status.idle": "2024-09-13T08:22:53.167466Z",
-     "shell.execute_reply": "2024-09-13T08:22:53.166817Z"
+     "iopub.execute_input": "2025-02-02T04:21:42.703160Z",
+     "iopub.status.busy": "2025-02-02T04:21:42.702829Z",
+     "iopub.status.idle": "2025-02-02T04:21:43.420909Z",
+     "shell.execute_reply": "2025-02-02T04:21:43.420327Z"
     },
     "tags": [
      "hide-input",
@@ -323,7 +323,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 2500x300 with 2 Axes>"
       ]
@@ -359,10 +359,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:53.169862Z",
-     "iopub.status.busy": "2024-09-13T08:22:53.169509Z",
-     "iopub.status.idle": "2024-09-13T08:22:53.408528Z",
-     "shell.execute_reply": "2024-09-13T08:22:53.407997Z"
+     "iopub.execute_input": "2025-02-02T04:21:43.422914Z",
+     "iopub.status.busy": "2025-02-02T04:21:43.422578Z",
+     "iopub.status.idle": "2025-02-02T04:21:43.632135Z",
+     "shell.execute_reply": "2025-02-02T04:21:43.631651Z"
     },
     "tags": [
      "remove-input"
@@ -371,7 +371,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -407,10 +407,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:53.410993Z",
-     "iopub.status.busy": "2024-09-13T08:22:53.410653Z",
-     "iopub.status.idle": "2024-09-13T08:22:53.705808Z",
-     "shell.execute_reply": "2024-09-13T08:22:53.705220Z"
+     "iopub.execute_input": "2025-02-02T04:21:43.634067Z",
+     "iopub.status.busy": "2025-02-02T04:21:43.633701Z",
+     "iopub.status.idle": "2025-02-02T04:21:43.882878Z",
+     "shell.execute_reply": "2025-02-02T04:21:43.882337Z"
     },
     "tags": [
      "remove-input"
@@ -419,7 +419,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -455,10 +455,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:53.708313Z",
-     "iopub.status.busy": "2024-09-13T08:22:53.707939Z",
-     "iopub.status.idle": "2024-09-13T08:22:54.016416Z",
-     "shell.execute_reply": "2024-09-13T08:22:54.015863Z"
+     "iopub.execute_input": "2025-02-02T04:21:43.884858Z",
+     "iopub.status.busy": "2025-02-02T04:21:43.884496Z",
+     "iopub.status.idle": "2025-02-02T04:21:44.141020Z",
+     "shell.execute_reply": "2025-02-02T04:21:44.140493Z"
     },
     "tags": [
      "remove-input"
@@ -467,7 +467,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -502,10 +502,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:54.018768Z",
-     "iopub.status.busy": "2024-09-13T08:22:54.018409Z",
-     "iopub.status.idle": "2024-09-13T08:22:54.156540Z",
-     "shell.execute_reply": "2024-09-13T08:22:54.155998Z"
+     "iopub.execute_input": "2025-02-02T04:21:44.142951Z",
+     "iopub.status.busy": "2025-02-02T04:21:44.142608Z",
+     "iopub.status.idle": "2025-02-02T04:21:44.266374Z",
+     "shell.execute_reply": "2025-02-02T04:21:44.265880Z"
     },
     "tags": [
      "remove-input"
@@ -514,7 +514,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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IlgAAAABAMQRLAAAAAKAYgiUAAAAAUAzBEgAAAAAoRpOC5UsvvdTccwAAAAAANC1Yrr/++tlll13yi1/8IgsXLmzumQAAAACAFqpJwfLxxx/PFltskZEjR6Zr16759re/nUceeaS5ZwMAAAAAWpgmBct+/frloosuysyZM3PVVVdl1qxZ2XHHHdO3b99ccMEFefPNN5t7TgAAAACgBfhUD92prq7Ofvvtl/Hjx+e8887LCy+8kBNPPDE9e/bMoYcemlmzZjXXnAAAAABAC/CpguVjjz2W//zP/0y3bt1ywQUX5MQTT8yLL76YCRMmZObMmdl7772ba04AAAAAoAWobsqHLrjgglx99dWZNm1a9thjj1x77bXZY489ssoq7/fP3r17Z+zYsVl33XWbc1YAAAAA4AuuScHyZz/7WY488sgcfvjh6dat2weuqa2tzZVXXvmphgMAAAAAWpYmBcvp06d/5Jo2bdrksMMOa8rXAwAAAAAtVJPuYXn11Vdn/PjxK2wfP358rrnmmk89FAAAAADQMjUpWI4ePTprrbXWCttra2tzzjnnfOqhAAAAAICWqUnBcsaMGendu/cK23v16pUZM2Z86qEAAAAAgJapScGytrY2Tz311Arbn3zyyay55pqfeigAAAAAoGVqUrA86KCD8l//9V+55557snTp0ixdujR33313jj322AwdOrS5ZwQAAAAAWogmPSX8rLPOyiuvvJJdd9011dXvf8WyZcty6KGHuoclAAAAANBkTQqWbdq0ya9+9aucddZZefLJJ9O+fftsvvnm6dWrV3PPBwAAAAC0IE0KlsttuOGG2XDDDZtrFgAAAACghWtSsFy6dGnGjh2biRMnZu7cuVm2bFmj/XfffXezDAcAAAAAtCxNCpbHHntsxo4dmyFDhqRv376pqqpq7rkAAAAAgBaoScHy+uuvzw033JA99tijuecBAAAAAFqwVZryoTZt2mT99ddv7lkAAAAAgBauScHyhBNOyEUXXZT6+vrmngcAAAAAaMGadEn4/fffn3vuuSe33XZbNttss7Ru3brR/t/+9rfNMhwAAAAA0LI0KVh27tw5++67b3PPAgAAAAC0cE0KlldffXVzzwEAAAAA0LR7WCbJe++9l7vuuiuXX3553n333STJzJkzM3/+/GYbDgAAAABoWZp0huWrr76a3XffPTNmzMiiRYvy9a9/PR07dsx5552XRYsW5bLLLmvuOQEAAACAFqBJwfLYY4/N1ltvnSeffDJrrrlmw/Z99903Rx11VLMNBwDwWaqqOrPSIwAAQIvXpGD5xz/+MQ8++GDatGnTaPu6666bN954o1kGAwAAAABanibdw3LZsmVZunTpCttff/31dOzY8VMPBQAAAAC0TE0KlgMHDsyFF17Y8L6qqirz58/PqFGjssceezTXbAAAAABAC9OkS8J//OMfZ9CgQdl0002zcOHCHHzwwZk+fXrWWmut/PKXv2zuGQEAAACAFqJJwbJHjx558sknc/311+epp57K/PnzM3z48AwbNizt27dv7hkBAAAAgBaiScEySaqrq3PIIYc05ywAAAAAQAvXpGB57bXXfuj+Qw89tEnDAAAAAAAtW5OC5bHHHtvo/ZIlS/K3v/0tbdq0yaqrripYAgAAAABN0qSnhL/99tuNXvPnz8+0adOy4447eugOAAAAANBkTQqWH2SDDTbIueeeu8LZlwAAAAAAH1ezBcvk/QfxzJw5szm/EgAAAABoQZp0D8vf//73jd7X19dn1qxZueSSS7LDDjs0y2AAAAAAQMvTpGC5zz77NHpfVVWVtddeO1/72tfy4x//uDnmAgAAAABaoCYFy2XLljX3HAAAAAAAzXsPSwAAAACAT6NJZ1iOHDnyY6+94IILmvITAAAAAEAL1KRg+cQTT+SJJ57IkiVLstFGGyVJnn/++bRq1SpbbbVVw7qqqqrmmRIAAACAD1VVdWalR+BTqq8fVekRitCkYLnXXnulY8eOueaaa7L66qsnSd5+++0cccQR2WmnnXLCCSc065AAAAAAQMvQpHtY/vjHP87o0aMbYmWSrL766jn77LM9JRwAAAAAaLImBcu6urq8+eabK2x/88038+67737qoQAAAACAlqlJwXLffffNEUcckd/+9rd5/fXX8/rrr+c3v/lNhg8fnv3226+5ZwQAAAAAWogm3cPysssuy4knnpiDDz44S5Ysef+LqqszfPjwnH/++c06IAAAAPDZ8NAWoARNCparrrpqLr300px//vl58cUXkyR9+vRJhw4dmnU4AAAAAKBladIl4cvNmjUrs2bNygYbbJAOHTqkvr6+ueYCAAAAAFqgJgXLv/71r9l1112z4YYbZo899sisWbOSJMOHD88JJ5zQrAMCAAAAAC1Hk4Ll8ccfn9atW2fGjBlZddVVG7YfeOCBuf3225ttOAAAAACgZWnSPSzvvPPO3HHHHenRo0ej7RtssEFeffXVZhkMAAAAAGh5mnSG5YIFCxqdWbncW2+9lbZt237qoQAAAACAlqlJwXKnnXbKtdde2/C+qqoqy5Yty5gxY7LLLrs023AAAAAAQMvSpEvCx4wZk1133TWPPfZYFi9enO9///t55pln8tZbb+WBBx5o7hkBAAAAgBaiSWdY9u3bN88//3x23HHH7L333lmwYEH222+/PPHEE+nTp09zzwgAAAAAtBCf+AzLJUuWZPfdd89ll12W//2///fKmAkAAAAAaKE+8RmWrVu3zlNPPbUyZgEAAAAAWrgmXRJ+yCGH5Morr2zuWQAAAACAFq5JD9157733ctVVV+Wuu+5K//7906FDh0b7L7jggmYZDgAAAABoWT5RsHzppZey7rrr5umnn85WW22VJHn++ecbramqqmq+6QAAAACAFuUTBcsNNtggs2bNyj333JMkOfDAA3PxxRenS5cuK2U4AAAAAKBl+UT3sKyvr2/0/rbbbsuCBQuadSAAAAAAoOVq0kN3lvvngAkAAAAA8Gl8omBZVVW1wj0q3bMSAAAAAGgun+gelvX19Tn88MPTtm3bJMnChQvzne98Z4WnhP/2t79tvgkBAAAAgBbjEwXLww47rNH7Qw45pFmHAQAAAABatk8ULK+++uqVNQcAAAAAwKd76A4AAAAAQHMSLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKUdFgOWnSpOy1117p3r17qqqqctNNNzXaX19fn9NPPz3dunVL+/bts9tuu2X69OmN1rz11lsZNmxYOnXqlM6dO2f48OGZP39+ozVPPfVUdtppp7Rr1y49e/bMmDFjVvahAQAAAABNUNFguWDBgnzpS1/KT3/60w/cP2bMmFx88cW57LLL8vDDD6dDhw4ZNGhQFi5c2LBm2LBheeaZZzJhwoTccsstmTRpUo4++uiG/XV1dRk4cGB69eqVKVOm5Pzzz88ZZ5yRK664YqUfHwAAAADwyVRX8scHDx6cwYMHf+C++vr6XHjhhTn11FOz9957J0muvfbadOnSJTfddFOGDh2a5557LrfffnseffTRbL311kmSn/zkJ9ljjz3yox/9KN27d891112XxYsX56qrrkqbNm2y2WabZerUqbngggsahU0AAAAAoPKKvYflyy+/nNmzZ2e33XZr2FZTU5Ntt902kydPTpJMnjw5nTt3boiVSbLbbrtllVVWycMPP9ywZuedd06bNm0a1gwaNCjTpk3L22+//RkdDQAAAADwcVT0DMsPM3v27CRJly5dGm3v0qVLw77Zs2entra20f7q6uqsscYajdb07t17he9Yvm/11Vdf4bcXLVqURYsWNbyvq6v7lEcDAAAAAHwcxZ5hWUmjR49OTU1Nw6tnz56VHgkAAAAAWoRig2XXrl2TJHPmzGm0fc6cOQ37unbtmrlz5zba/9577+Wtt95qtOaDvuMff+OfnXLKKZk3b17D67XXXvv0BwQAAAAAfKRig2Xv3r3TtWvXTJw4sWFbXV1dHn744QwYMCBJMmDAgLzzzjuZMmVKw5q77747y5Yty7bbbtuwZtKkSVmyZEnDmgkTJmSjjTb6wMvBk6Rt27bp1KlToxcAAAAAsPJVNFjOnz8/U6dOzdSpU5O8/6CdqVOnZsaMGamqqspxxx2Xs88+O7///e/zpz/9KYceemi6d++effbZJ0myySabZPfdd89RRx2VRx55JA888ECOOeaYDB06NN27d0+SHHzwwWnTpk2GDx+eZ555Jr/61a9y0UUXZeTIkRU6agAAAADgX6noQ3cee+yx7LLLLg3vl0fEww47LGPHjs33v//9LFiwIEcffXTeeeed7Ljjjrn99tvTrl27hs9cd911OeaYY7LrrrtmlVVWyf7775+LL764YX9NTU3uvPPOjBgxIv37989aa62V008/PUcfffRnd6AAAAAAwMdSVV9fX1/pIUpXV1eXmpqazJs3z+XhAPAFVlV1ZqVHgBatvn5UpUfgU/J3FODT+SL/Z+En6WvF3sMSAAAAAGh5BEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMWorvQAAPBFUVV1ZqVHAAAA+NxzhiUAAAAAUAzBEgAAAAAohmAJAAAAABRDsAQAAAAAiiFYAgAAAADFECwBAAAAgGIIlgAAAABAMQRLAAAAAKAYgiUAAAAAUAzBEgAAAAAohmAJAAAAABRDsAQAAAAAiiFYAgAAAADFECwBAAAAgGIIlgAAAABAMQRLAAAAAKAYgiUAAAAAUAzBEgAAAAAohmAJAAAAABRDsAQAAAAAiiFYAgAAAADFECwBAAAAgGIIlgAAAABAMQRLAAAAAKAYgiUAAAAAUAzBEgAAAAAohmAJAAAAABRDsAQAAAAAiiFYAgAAAADFECwBAAAAgGIIlgAAAABAMQRLAAAAAKAYgiUAAAAAUAzBEgAAAAAohmAJAAAAABRDsAQAAAAAiiFYAgAAAADFECwBAAAAgGIIlgAAAABAMQRLAAAAAKAYgiUAAAAAUAzBEgAAAAAoRtHB8owzzkhVVVWj18Ybb9ywf+HChRkxYkTWXHPNrLbaatl///0zZ86cRt8xY8aMDBkyJKuuumpqa2tz0kkn5b333vusDwUAAAAA+BiqKz3AR9lss81y1113Nbyvrv6fkY8//vjceuutGT9+fGpqanLMMcdkv/32ywMPPJAkWbp0aYYMGZKuXbvmwQcfzKxZs3LooYemdevWOeeccz7zYwEAAAAAPlzxwbK6ujpdu3ZdYfu8efNy5ZVXZty4cfna176WJLn66quzySab5KGHHsp2222XO++8M88++2zuuuuudOnSJf369ctZZ52VH/zgBznjjDPSpk2bz/pwAAAAAIAPUfQl4Ukyffr0dO/ePeutt16GDRuWGTNmJEmmTJmSJUuWZLfddmtYu/HGG2edddbJ5MmTkySTJ0/O5ptvni5dujSsGTRoUOrq6vLMM898tgcCAAAAAHykos+w3HbbbTN27NhstNFGmTVrVs4888zstNNOefrppzN79uy0adMmnTt3bvSZLl26ZPbs2UmS2bNnN4qVy/cv3/evLFq0KIsWLWp4X1dX10xHBAAAAAB8mKKD5eDBgxv+9RZbbJFtt902vXr1yg033JD27duvtN8dPXp0zjzzzJX2/QAAwIqqqvz/4ADA5+CS8H/UuXPnbLjhhnnhhRfStWvXLF68OO+8806jNXPmzGm452XXrl1XeGr48vcfdF/M5U455ZTMmzev4fXaa68174EAAAAAAB/ocxUs58+fnxdffDHdunVL//7907p160ycOLFh/7Rp0zJjxowMGDAgSTJgwID86U9/yty5cxvWTJgwIZ06dcqmm276L3+nbdu26dSpU6MXAAAAALDyFX1J+Iknnpi99torvXr1ysyZMzNq1Ki0atUqBx10UGpqajJ8+PCMHDkya6yxRjp16pTvfe97GTBgQLbbbrskycCBA7Ppppvmm9/8ZsaMGZPZs2fn1FNPzYgRI9K2bdsKHx0AAAAA8M+KDpavv/56DjrooPz1r3/N2muvnR133DEPPfRQ1l577STJ//k//yerrLJK9t9//yxatCiDBg3KpZde2vD5Vq1a5ZZbbsl3v/vdDBgwIB06dMhhhx2W//7v/67UIQEAAAAAH6Kqvr6+vtJDlK6uri41NTWZN2+ey8MB+Jc8LAIAAPg06utHVXqEleaT9LXP1T0sAQAAAIAvNsESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBjVlR4AgPdVVZ1Z6REAAACg4pxhCQAAAAAUQ7AEAAAAAIohWAIAAAAAxRAsAQAAAIBiCJYAAAAAQDEESwAAAACgGIIlAAAAAFAMwRIAAAAAKIZgCQAAAAAUQ7AEAAAAAIohWAIAAAAAxRAsAQAAAIBiCJYAAAAAQDEESwAAAACgGIIlAAAAAFAMwRIAAAAAKIZgCQAAAAAUQ7AEAAAAAIohWAIAAAAAxRAsAQAAAIBiCJYAAAAAQDEESwAAAACgGIIlAAAAAFAMwRIAAAAAKIZgCQAAAAAUQ7AEAAAAAIohWAIAAAAAxRAsAQAAAIBiCJYAAAAAQDEESwAAAACgGNWVHgBoHlVVZ1Z6BAAAAIBPTbCkgeAFAAAAQKW5JBwAAAAAKEaLCpY//elPs+6666Zdu3bZdttt88gjj1R6JAAAAADgH7SYYPmrX/0qI0eOzKhRo/L444/nS1/6UgYNGpS5c+dWejQAAAAA4P9rMcHyggsuyFFHHZUjjjgim266aS677LKsuuqqueqqqyo9GgAAAADw/7WIh+4sXrw4U6ZMySmnnNKwbZVVVsluu+2WyZMnr7B+0aJFWbRoUcP7efPmJUnq6upW/rAVtbDSAwAAAAC0WF/k9rT82Orr6z9ybYsIln/5y1+ydOnSdOnSpdH2Ll265M9//vMK60ePHp0zz1zxidk9e/ZcaTMCAAAA0LLV1Jxb6RFWunfffTc1NTUfuqZFBMtP6pRTTsnIkSMb3i9btixvvfVW1lxzzVRVVVVwMj6Jurq69OzZM6+99lo6depU6XGAwvmbAXxc/l4An4S/GcDH9UX/e1FfX59333033bt3/8i1LSJYrrXWWmnVqlXmzJnTaPucOXPStWvXFda3bds2bdu2bbStc+fOK3NEVqJOnTp9If+NDqwc/mYAH5e/F8An4W8G8HF9kf9efNSZlcu1iIfutGnTJv3798/EiRMbti1btiwTJ07MgAEDKjgZAAAAAPCPWsQZlkkycuTIHHbYYdl6663z5S9/ORdeeGEWLFiQI444otKjAQAAAAD/X4sJlgceeGDefPPNnH766Zk9e3b69euX22+/fYUH8fDF0bZt24waNWqFy/sBPoi/GcDH5e8F8En4mwF8XP5e/I+q+o/zLHEAAAAAgM9Ai7iHJQAAAADw+SBYAgAAAADFECwBAAAAgGIIlgAAAABAMQRLvnBGjx6dbbbZJh07dkxtbW322WefTJs2rdJjAZ8D5557bqqqqnLcccdVehSgUG+88UYOOeSQrLnmmmnfvn0233zzPPbYY5UeCyjM0qVLc9ppp6V3795p3759+vTpk7POOiueeQskyaRJk7LXXnule/fuqaqqyk033dRof319fU4//fR069Yt7du3z2677Zbp06dXZtgKESz5wrnvvvsyYsSIPPTQQ5kwYUKWLFmSgQMHZsGCBZUeDSjYo48+mssvvzxbbLFFpUcBCvX2229nhx12SOvWrXPbbbfl2WefzY9//OOsvvrqlR4NKMx5552Xn/3sZ7nkkkvy3HPP5bzzzsuYMWPyk5/8pNKjAQVYsGBBvvSlL+WnP/3pB+4fM2ZMLr744lx22WV5+OGH06FDhwwaNCgLFy78jCetnKp6/xMPX3Bvvvlmamtrc99992XnnXeu9DhAgebPn5+tttoql156ac4+++z069cvF154YaXHAgpz8skn54EHHsgf//jHSo8CFG7PPfdMly5dcuWVVzZs23///dO+ffv84he/qOBkQGmqqqpy4403Zp999kny/tmV3bt3zwknnJATTzwxSTJv3rx06dIlY8eOzdChQys47WfHGZZ84c2bNy9JssYaa1R4EqBUI0aMyJAhQ7LbbrtVehSgYL///e+z9dZb5z/+4z9SW1ubLbfcMj//+c8rPRZQoO233z4TJ07M888/nyR58sknc//992fw4MEVngwo3csvv5zZs2c3+u8mNTU12XbbbTN58uQKTvbZqq70ALAyLVu2LMcdd1x22GGH9O3bt9LjAAW6/vrr8/jjj+fRRx+t9ChA4V566aX87Gc/y8iRI/O//tf/yqOPPpr/+q//Sps2bXLYYYdVejygICeffHLq6uqy8cYbp1WrVlm6dGl++MMfZtiwYZUeDSjc7NmzkyRdunRptL1Lly4N+1oCwZIvtBEjRuTpp5/O/fffX+lRgAK99tprOfbYYzNhwoS0a9eu0uMAhVu2bFm23nrrnHPOOUmSLbfcMk8//XQuu+wywRJo5IYbbsh1112XcePGZbPNNsvUqVNz3HHHpXv37v5eAHwMLgnnC+uYY47JLbfcknvuuSc9evSo9DhAgaZMmZK5c+dmq622SnV1daqrq3Pffffl4osvTnV1dZYuXVrpEYGCdOvWLZtuummjbZtssklmzJhRoYmAUp100kk5+eSTM3To0Gy++eb55je/meOPPz6jR4+u9GhA4bp27ZokmTNnTqPtc+bMadjXEgiWfOHU19fnmGOOyY033pi77747vXv3rvRIQKF23XXX/OlPf8rUqVMbXltvvXWGDRuWqVOnplWrVpUeESjIDjvskGnTpjXa9vzzz6dXr14Vmggo1d/+9resskrj/7rdqlWrLFu2rEITAZ8XvXv3TteuXTNx4sSGbXV1dXn44YczYMCACk722XJJOF84I0aMyLhx4/K73/0uHTt2bLjHQ01NTdq3b1/h6YCSdOzYcYX723bo0CFrrrmm+94CKzj++OOz/fbb55xzzskBBxyQRx55JFdccUWuuOKKSo8GFGavvfbKD3/4w6yzzjrZbLPN8sQTT+SCCy7IkUceWenRgALMnz8/L7zwQsP7l19+OVOnTs0aa6yRddZZJ8cdd1zOPvvsbLDBBundu3dOO+20dO/eveFJ4i1BVX19fX2lh4DmVFVV9YHbr7766hx++OGf7TDA585Xv/rV9OvXLxdeeGGlRwEKdMstt+SUU07J9OnT07t374wcOTJHHXVUpccCCvPuu+/mtNNOy4033pi5c+eme/fuOeigg3L66aenTZs2lR4PqLB77703u+yyywrbDzvssIwdOzb19fUZNWpUrrjiirzzzjvZcccdc+mll2bDDTeswLSVIVgCAAAAAMVwD0sAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFEOwBAAAAACKIVgCAAAAAMUQLAEAAACAYgiWAAAAAEAxBEsAAAAAoBiCJQAAAABQDMESAAAAACiGYAkAAAAAFOP/Ab+Vi3uuM31VAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -547,10 +547,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:54.158979Z",
-     "iopub.status.busy": "2024-09-13T08:22:54.158600Z",
-     "iopub.status.idle": "2024-09-13T08:22:54.376789Z",
-     "shell.execute_reply": "2024-09-13T08:22:54.376174Z"
+     "iopub.execute_input": "2025-02-02T04:21:44.268104Z",
+     "iopub.status.busy": "2025-02-02T04:21:44.267926Z",
+     "iopub.status.idle": "2025-02-02T04:21:44.482829Z",
+     "shell.execute_reply": "2025-02-02T04:21:44.482333Z"
     },
     "tags": [
      "remove-input"
@@ -559,7 +559,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -604,10 +604,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:54.379213Z",
-     "iopub.status.busy": "2024-09-13T08:22:54.378855Z",
-     "iopub.status.idle": "2024-09-13T08:22:54.591532Z",
-     "shell.execute_reply": "2024-09-13T08:22:54.590968Z"
+     "iopub.execute_input": "2025-02-02T04:21:44.484736Z",
+     "iopub.status.busy": "2025-02-02T04:21:44.484552Z",
+     "iopub.status.idle": "2025-02-02T04:21:44.705142Z",
+     "shell.execute_reply": "2025-02-02T04:21:44.704539Z"
     },
     "tags": [
      "remove-input"
@@ -616,7 +616,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -672,10 +672,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:54.594094Z",
-     "iopub.status.busy": "2024-09-13T08:22:54.593696Z",
-     "iopub.status.idle": "2024-09-13T08:22:54.603115Z",
-     "shell.execute_reply": "2024-09-13T08:22:54.602519Z"
+     "iopub.execute_input": "2025-02-02T04:21:44.707254Z",
+     "iopub.status.busy": "2025-02-02T04:21:44.706967Z",
+     "iopub.status.idle": "2025-02-02T04:21:44.715960Z",
+     "shell.execute_reply": "2025-02-02T04:21:44.715428Z"
     },
     "tags": [
      "remove-input"
@@ -685,7 +685,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_1a34856a_b3ce_483e_a3f5_a9881118f8f5\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_bdaef63e_a20e_4901_a9af_2d3e251c61ce\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -695,7 +695,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -786,24 +785,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_bdaef63e_a20e_4901_a9af_2d3e251c61ce:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_1a34856a_b3ce_483e_a3f5_a9881118f8f5:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 7798, 41.0], [\"psirt@us.ibm.com\", 1061, 6.0], [\"secure@microsoft.com\", 845, 4.0], [\"psirt@adobe.com\", 832, 4.0], [\"secalert@redhat.com\", 638, 3.0], [\"secalert_us@oracle.com\", 613, 3.0], [\"ykramarz@cisco.com\", 573, 3.0], [\"product-security@apple.com\", 501, 3.0], [\"security@android.com\", 482, 3.0], [\"chrome-cve-admin@google.com\", 358, 2.0], [\"secure@intel.com\", 351, 2.0], [\"product-security@qualcomm.com\", 348, 2.0], [\"jenkinsci-cert@googlegroups.com\", 339, 2.0], [\"talos-cna@cisco.com\", 262, 1.0], [\"ics-cert@hq.dhs.gov\", 228, 1.0], [\"psirt@huawei.com\", 200, 1.0], [\"vultures@jpcert.or.jp\", 195, 1.0], [\"josh@bress.net\", 174, 1.0], [\"sirt@juniper.net\", 164, 1.0], [\"zdi-disclosures@trendmicro.com\", 155, 1.0], [\"productcert@siemens.com\", 152, 1.0], [\"security@apache.org\", 150, 1.0], [\"security@mozilla.org\", 147, 1.0], [\"security-alert@hpe.com\", 141, 1.0], [\"cna@sap.com\", 123, 1.0], [\"security_alert@emc.com\", 119, 1.0], [\"security@vmware.com\", 118, 1.0], [\"f5sirt@f5.com\", 116, 1.0], [\"support@hackerone.com\", 99, 1.0], [\"cret@cert.org\", 86, 0.0], [\"vulnreport@tenable.com\", 85, 0.0], [\"cybersecurity@se.com\", 83, 0.0], [\"security@opentext.com\", 73, 0.0], [\"security@atlassian.com\", 69, 0.0], [\"trellixpsirt@trellix.com\", 54, 0.0], [\"psirt@lenovo.com\", 54, 0.0], [\"security@debian.org\", 51, 0.0], [\"vulnerability@kaspersky.com\", 48, 0.0], [\"psirt@nvidia.com\", 47, 0.0], [\"psirt@forcepoint.com\", 42, 0.0], [\"bressers@elastic.co\", 41, 0.0], [\"secure@symantec.com\", 41, 0.0], [\"psirt@fortinet.com\", 40, 0.0], [\"cve-assign@fb.com\", 39, 0.0], [\"security-officer@isc.org\", 38, 0.0], [\"emo@eclipse.org\", 35, 0.0], [\"psirt@paloaltonetworks.com\", 35, 0.0], [\"security@tibco.com\", 35, 0.0], [\"report@snyk.io\", 31, 0.0], [\"vuln@krcert.or.kr\", 29, 0.0], [\"security@synology.com\", 28, 0.0], [\"twcert@cert.org.tw\", 28, 0.0], [\"cve@checkpoint.com\", 27, 0.0], [\"security@trendmicro.com\", 27, 0.0], [\"security@ubuntu.com\", 27, 0.0], [\"security-advisories@github.com\", 27, 0.0], [\"hp-security-alert@hp.com\", 25, 0.0], [\"psirt@zte.com.cn\", 25, 0.0], [\"security-alert@netapp.com\", 25, 0.0], [\"vulnerability@cspcert.ph\", 24, 0.0], [\"secteam@freebsd.org\", 23, 0.0], [\"security@pivotal.io\", 23, 0.0], [\"cve@rapid7.com\", 21, 0.0], [\"cert@airbus.com\", 20, 0.0], [\"securityalerts@avaya.com\", 19, 0.0], [\"PSIRT@sonicwall.com\", 16, 0.0], [\"security@php.net\", 16, 0.0], [\"security@qnapsecurity.com.tw\", 14, 0.0], [\"cybersecurity@dahuatech.com\", 14, 0.0], [\"openssl-security@openssl.org\", 11, 0.0], [\"vuln@ca.com\", 11, 0.0], [\"jordan@liggitt.net\", 11, 0.0], [\"larry0@me.com\", 11, 0.0], [\"mlhess@drupal.org\", 10, 0.0], [\"security@search-guard.com\", 9, 0.0], [\"sirt@brocade.com\", 9, 0.0], [\"security@documentfoundation.org\", 9, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 9, 0.0], [\"psirt@bosch.com\", 9, 0.0], [\"psirt@autodesk.com\", 9, 0.0], [\"browser-security@yandex-team.ru\", 7, 0.0], [\"office@obdev.at\", 6, 0.0], [\"security@duo.com\", 5, 0.0], [\"security@puppet.com\", 5, 0.0], [\"meissner@suse.de\", 5, 0.0], [\"productsecurity@jci.com\", 4, 0.0], [\"cybersecurity@ch.abb.com\", 4, 0.0], [\"security@odoo.com\", 4, 0.0], [\"secure@blackberry.com\", 3, 0.0], [\"cna@mongodb.com\", 3, 0.0], [\"vulnerabilities@zephyrproject.org\", 3, 0.0], [\"patrick@puiterwijk.org\", 2, 0.0], [\"cve-request@iojs.org\", 2, 0.0], [\"psirt@hcl.com\", 2, 0.0], [\"cve@navercorp.com\", 2, 0.0], [\"security@salesforce.com\", 2, 0.0], [\"security-report@netflix.com\", 1, 0.0], [\"security@tcpdump.org\", 1, 0.0], [\"security@360.cn\", 1, 0.0], [\"security@opera.com\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 7798, 41.0], [\"psirt@us.ibm.com\", 1061, 6.0], [\"secure@microsoft.com\", 845, 4.0], [\"psirt@adobe.com\", 832, 4.0], [\"secalert@redhat.com\", 638, 3.0], [\"secalert_us@oracle.com\", 613, 3.0], [\"psirt@cisco.com\", 573, 3.0], [\"product-security@apple.com\", 501, 3.0], [\"security@android.com\", 482, 3.0], [\"chrome-cve-admin@google.com\", 358, 2.0], [\"secure@intel.com\", 351, 2.0], [\"product-security@qualcomm.com\", 348, 2.0], [\"jenkinsci-cert@googlegroups.com\", 339, 2.0], [\"talos-cna@cisco.com\", 262, 1.0], [\"ics-cert@hq.dhs.gov\", 228, 1.0], [\"psirt@huawei.com\", 200, 1.0], [\"vultures@jpcert.or.jp\", 195, 1.0], [\"josh@bress.net\", 174, 1.0], [\"sirt@juniper.net\", 164, 1.0], [\"zdi-disclosures@trendmicro.com\", 155, 1.0], [\"productcert@siemens.com\", 152, 1.0], [\"security@apache.org\", 150, 1.0], [\"security@mozilla.org\", 147, 1.0], [\"security-alert@hpe.com\", 141, 1.0], [\"cna@sap.com\", 123, 1.0], [\"security_alert@emc.com\", 119, 1.0], [\"security@vmware.com\", 118, 1.0], [\"f5sirt@f5.com\", 116, 1.0], [\"support@hackerone.com\", 99, 1.0], [\"cret@cert.org\", 86, 0.0], [\"vulnreport@tenable.com\", 85, 0.0], [\"cybersecurity@se.com\", 83, 0.0], [\"security@opentext.com\", 73, 0.0], [\"security@atlassian.com\", 69, 0.0], [\"trellixpsirt@trellix.com\", 54, 0.0], [\"psirt@lenovo.com\", 54, 0.0], [\"security@debian.org\", 51, 0.0], [\"vulnerability@kaspersky.com\", 48, 0.0], [\"psirt@nvidia.com\", 47, 0.0], [\"psirt@forcepoint.com\", 42, 0.0], [\"bressers@elastic.co\", 41, 0.0], [\"secure@symantec.com\", 41, 0.0], [\"psirt@fortinet.com\", 40, 0.0], [\"cve-assign@fb.com\", 39, 0.0], [\"security-officer@isc.org\", 38, 0.0], [\"emo@eclipse.org\", 35, 0.0], [\"psirt@paloaltonetworks.com\", 35, 0.0], [\"security@tibco.com\", 35, 0.0], [\"report@snyk.io\", 31, 0.0], [\"vuln@krcert.or.kr\", 29, 0.0], [\"security@synology.com\", 28, 0.0], [\"twcert@cert.org.tw\", 28, 0.0], [\"cve@checkpoint.com\", 27, 0.0], [\"security@trendmicro.com\", 27, 0.0], [\"security@ubuntu.com\", 27, 0.0], [\"security-advisories@github.com\", 27, 0.0], [\"hp-security-alert@hp.com\", 25, 0.0], [\"psirt@zte.com.cn\", 25, 0.0], [\"security-alert@netapp.com\", 25, 0.0], [\"vulnerability@cspcert.ph\", 24, 0.0], [\"secteam@freebsd.org\", 23, 0.0], [\"security@pivotal.io\", 23, 0.0], [\"cve@rapid7.com\", 21, 0.0], [\"cert@airbus.com\", 20, 0.0], [\"securityalerts@avaya.com\", 19, 0.0], [\"PSIRT@sonicwall.com\", 16, 0.0], [\"security@php.net\", 16, 0.0], [\"security@qnapsecurity.com.tw\", 14, 0.0], [\"cybersecurity@dahuatech.com\", 14, 0.0], [\"openssl-security@openssl.org\", 11, 0.0], [\"vuln@ca.com\", 11, 0.0], [\"jordan@liggitt.net\", 11, 0.0], [\"larry0@me.com\", 11, 0.0], [\"mlhess@drupal.org\", 10, 0.0], [\"security@search-guard.com\", 9, 0.0], [\"sirt@brocade.com\", 9, 0.0], [\"security@documentfoundation.org\", 9, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 9, 0.0], [\"psirt@bosch.com\", 9, 0.0], [\"psirt@autodesk.com\", 9, 0.0], [\"browser-security@yandex-team.ru\", 7, 0.0], [\"office@obdev.at\", 6, 0.0], [\"security@duo.com\", 5, 0.0], [\"security@puppet.com\", 5, 0.0], [\"meissner@suse.de\", 5, 0.0], [\"productsecurity@jci.com\", 4, 0.0], [\"cybersecurity@ch.abb.com\", 4, 0.0], [\"security@odoo.com\", 4, 0.0], [\"secure@blackberry.com\", 3, 0.0], [\"cna@mongodb.com\", 3, 0.0], [\"vulnerabilities@zephyrproject.org\", 3, 0.0], [\"patrick@puiterwijk.org\", 2, 0.0], [\"cve-request@iojs.org\", 2, 0.0], [\"psirt@hcl.com\", 2, 0.0], [\"cve@navercorp.com\", 2, 0.0], [\"security@salesforce.com\", 2, 0.0], [\"security-report@netflix.com\", 1, 0.0], [\"security@tcpdump.org\", 1, 0.0], [\"security@360.cn\", 1, 0.0], [\"security@opera.com\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -838,10 +836,10 @@
    "id": "9ac246fc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:54.605412Z",
-     "iopub.status.busy": "2024-09-13T08:22:54.605097Z",
-     "iopub.status.idle": "2024-09-13T08:22:54.610931Z",
-     "shell.execute_reply": "2024-09-13T08:22:54.610388Z"
+     "iopub.execute_input": "2025-02-02T04:21:44.717692Z",
+     "iopub.status.busy": "2025-02-02T04:21:44.717513Z",
+     "iopub.status.idle": "2025-02-02T04:21:44.723498Z",
+     "shell.execute_reply": "2025-02-02T04:21:44.723049Z"
     },
     "tags": [
      "remove-input"
@@ -851,7 +849,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_cfdd707d_334a_4bc6_8941_a7e18318f791\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_94569018_920c_4165_a1bf_dfccf0310a1c\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -860,7 +858,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -951,24 +948,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_94569018_920c_4165_a1bf_dfccf0310a1c:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_cfdd707d_334a_4bc6_8941_a7e18318f791:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"NVD-CWE-noinfo\", 2328], [\"CWE-79\", 2304], [\"Missing_Data\", 1631], [\"CWE-787\", 1084], [\"CWE-125\", 904], [\"CWE-20\", 855], [\"CWE-416\", 542], [\"CWE-89\", 539], [\"CWE-352\", 535], [\"CWE-200\", 521], [\"CWE-22\", 473], [\"CWE-119\", 464], [\"CWE-78\", 373], [\"CWE-287\", 259], [\"CWE-476\", 232], [\"CWE-732\", 206], [\"CWE-434\", 205], [\"CWE-190\", 200], [\"CWE-862\", 188], [\"CWE-306\", 174], [\"CWE-522\", 156], [\"CWE-269\", 155], [\"NVD-CWE-Other\", 150], [\"CWE-611\", 132], [\"CWE-502\", 129], [\"CWE-798\", 127], [\"CWE-400\", 125], [\"CWE-401\", 123], [\"CWE-94\", 121], [\"CWE-601\", 117], [\"CWE-295\", 113], [\"CWE-59\", 105], [\"CWE-863\", 105], [\"CWE-120\", 104], [\"CWE-770\", 97], [\"CWE-362\", 97], [\"CWE-319\", 97], [\"CWE-918\", 92], [\"CWE-74\", 92], [\"CWE-532\", 91], [\"CWE-276\", 89], [\"CWE-77\", 88], [\"CWE-311\", 76], [\"CWE-427\", 69], [\"CWE-755\", 68], [\"CWE-426\", 64], [\"CWE-284\", 63], [\"CWE-908\", 62], [\"CWE-917\", 61], [\"CWE-312\", 57], [\"CWE-668\", 56], [\"CWE-203\", 53], [\"CWE-835\", 51], [\"CWE-674\", 51], [\"CWE-415\", 51], [\"CWE-327\", 50], [\"CWE-639\", 47], [\"CWE-347\", 46], [\"CWE-384\", 42], [\"CWE-264\", 42], [\"CWE-843\", 41], [\"CWE-19\", 41], [\"CWE-88\", 39], [\"CWE-346\", 39], [\"CWE-129\", 38], [\"CWE-209\", 37], [\"CWE-326\", 36], [\"CWE-345\", 36], [\"CWE-617\", 35], [\"CWE-330\", 35], [\"CWE-665\", 34], [\"CWE-369\", 32], [\"CWE-754\", 32], [\"CWE-610\", 30], [\"CWE-1188\", 29], [\"CWE-254\", 29], [\"CWE-307\", 27], [\"CWE-1021\", 26], [\"CWE-1236\", 25], [\"CWE-134\", 24], [\"CWE-290\", 23], [\"CWE-425\", 23], [\"CWE-285\", 23], [\"CWE-772\", 23], [\"CWE-613\", 22], [\"CWE-116\", 21], [\"CWE-191\", 21], [\"CWE-367\", 20], [\"CWE-255\", 20], [\"CWE-704\", 19], [\"CWE-640\", 18], [\"CWE-521\", 18], [\"CWE-909\", 17], [\"CWE-428\", 15], [\"CWE-552\", 14], [\"CWE-667\", 14], [\"CWE-193\", 13], [\"CWE-310\", 13], [\"CWE-281\", 13], [\"CWE-275\", 13], [\"CWE-1321\", 12], [\"CWE-922\", 12], [\"CWE-338\", 12], [\"CWE-459\", 12], [\"CWE-91\", 12], [\"CWE-404\", 11], [\"CWE-444\", 11], [\"CWE-494\", 11], [\"CWE-93\", 11], [\"CWE-669\", 10], [\"CWE-682\", 10], [\"CWE-824\", 10], [\"CWE-706\", 10], [\"CWE-294\", 10], [\"CWE-354\", 10], [\"CWE-829\", 9], [\"CWE-916\", 9], [\"CWE-122\", 8], [\"CWE-681\", 8], [\"CWE-320\", 8], [\"CWE-399\", 8], [\"CWE-776\", 8], [\"CWE-331\", 8], [\"CWE-693\", 8], [\"CWE-252\", 7], [\"CWE-662\", 6], [\"CWE-565\", 6], [\"CWE-189\", 5], [\"CWE-388\", 5], [\"CWE-763\", 5], [\"CWE-358\", 5], [\"CWE-670\", 4], [\"CWE-436\", 4], [\"CWE-538\", 4], [\"CWE-185\", 4], [\"CWE-470\", 4], [\"CWE-131\", 4], [\"CWE-335\", 4], [\"CWE-121\", 4], [\"CWE-273\", 4], [\"CWE-113\", 3], [\"CWE-672\", 3], [\"CWE-332\", 3], [\"CWE-212\", 3], [\"CWE-913\", 3], [\"CWE-834\", 3], [\"CWE-838\", 2], [\"CWE-117\", 2], [\"CWE-1333\", 2], [\"CWE-417\", 2], [\"CWE-16\", 2], [\"CWE-441\", 2], [\"CWE-749\", 2], [\"CWE-178\", 1], [\"CWE-118\", 1], [\"CWE-184\", 1], [\"CWE-256\", 1], [\"CWE-260\", 1], [\"CWE-21\", 1], [\"CWE-592\", 1], [\"CWE-248\", 1], [\"CWE-280\", 1], [\"CWE-268\", 1], [\"CWE-440\", 1], [\"CWE-297\", 1], [\"CWE-321\", 1], [\"CWE-943\", 1], [\"CWE-664\", 1], [\"CWE-172\", 1], [\"CWE-250\", 1], [\"CWE-99\", 1], [\"CWE-353\", 1], [\"CWE-199\", 1], [\"CWE-18\", 1], [\"CWE-216\", 1], [\"CWE-90\", 1], [\"CWE-325\", 1], [\"CWE-707\", 1], [\"CWE-371\", 1], [\"CWE-628\", 1], [\"CWE-1187\", 1], [\"CWE-267\", 1], [\"CWE-300\", 1], [\"CWE-201\", 1], [\"CWE-317\", 1], [\"CWE-23\", 1], [\"CWE-61\", 1]];\n",
+       "        const data = [[\"CWE-79\", 2325], [\"NVD-CWE-noinfo\", 2247], [\"Missing_Data\", 1631], [\"CWE-787\", 971], [\"CWE-20\", 883], [\"CWE-125\", 873], [\"CWE-89\", 543], [\"CWE-416\", 543], [\"CWE-200\", 534], [\"CWE-352\", 512], [\"CWE-119\", 459], [\"CWE-22\", 455], [\"CWE-78\", 357], [\"CWE-287\", 233], [\"CWE-476\", 230], [\"CWE-434\", 200], [\"CWE-190\", 197], [\"CWE-732\", 187], [\"CWE-862\", 175], [\"CWE-400\", 162], [\"CWE-306\", 160], [\"CWE-284\", 159], [\"CWE-522\", 144], [\"CWE-269\", 137], [\"CWE-94\", 134], [\"CWE-611\", 132], [\"CWE-502\", 124], [\"CWE-401\", 121], [\"CWE-77\", 121], [\"CWE-798\", 112], [\"CWE-601\", 111], [\"CWE-120\", 108], [\"CWE-295\", 108], [\"CWE-863\", 96], [\"CWE-362\", 95], [\"CWE-59\", 94], [\"CWE-319\", 91], [\"CWE-74\", 90], [\"CWE-918\", 89], [\"CWE-532\", 88], [\"CWE-276\", 86], [\"CWE-264\", 81], [\"CWE-311\", 75], [\"CWE-427\", 70], [\"CWE-770\", 68], [\"CWE-122\", 68], [\"CWE-917\", 61], [\"CWE-312\", 60], [\"CWE-426\", 58], [\"CWE-908\", 57], [\"CWE-285\", 57], [\"CWE-835\", 52], [\"CWE-668\", 52], [\"CWE-415\", 50], [\"CWE-674\", 50], [\"CWE-121\", 49], [\"CWE-755\", 49], [\"CWE-639\", 47], [\"CWE-327\", 46], [\"CWE-203\", 46], [\"CWE-843\", 44], [\"CWE-347\", 44], [\"CWE-384\", 43], [\"CWE-19\", 40], [\"CWE-209\", 39], [\"CWE-129\", 38], [\"CWE-346\", 37], [\"CWE-617\", 35], [\"CWE-326\", 35], [\"CWE-345\", 34], [\"CWE-665\", 34], [\"NVD-CWE-Other\", 33], [\"CWE-330\", 33], [\"CWE-369\", 32], [\"CWE-754\", 30], [\"CWE-399\", 29], [\"CWE-610\", 29], [\"CWE-254\", 29], [\"CWE-307\", 27], [\"CWE-1021\", 25], [\"CWE-290\", 25], [\"CWE-1188\", 25], [\"CWE-1236\", 24], [\"CWE-134\", 23], [\"CWE-255\", 23], [\"CWE-88\", 22], [\"CWE-367\", 21], [\"CWE-772\", 21], [\"CWE-191\", 20], [\"CWE-613\", 19], [\"CWE-693\", 17], [\"CWE-310\", 17], [\"CWE-275\", 17], [\"CWE-704\", 17], [\"CWE-909\", 17], [\"CWE-640\", 17], [\"CWE-404\", 16], [\"CWE-425\", 16], [\"CWE-552\", 16], [\"CWE-494\", 16], [\"CWE-428\", 15], [\"CWE-116\", 15], [\"CWE-922\", 15], [\"CWE-521\", 14], [\"CWE-193\", 13], [\"CWE-281\", 12], [\"CWE-338\", 12], [\"CWE-667\", 12], [\"CWE-91\", 12], [\"CWE-294\", 11], [\"CWE-93\", 11], [\"CWE-1321\", 11], [\"CWE-444\", 10], [\"CWE-320\", 10], [\"CWE-706\", 10], [\"CWE-288\", 10], [\"CWE-648\", 10], [\"CWE-354\", 9], [\"CWE-126\", 9], [\"CWE-250\", 9], [\"CWE-829\", 9], [\"CWE-682\", 9], [\"CWE-23\", 9], [\"CWE-824\", 9], [\"CWE-459\", 9], [\"CWE-248\", 8], [\"CWE-331\", 8], [\"CWE-16\", 8], [\"CWE-358\", 8], [\"CWE-834\", 8], [\"CWE-252\", 7], [\"CWE-776\", 7], [\"CWE-669\", 7], [\"CWE-681\", 7], [\"CWE-80\", 6], [\"CWE-916\", 6], [\"CWE-749\", 6], [\"CWE-662\", 6], [\"CWE-565\", 6], [\"CWE-538\", 6], [\"CWE-113\", 5], [\"CWE-703\", 5], [\"CWE-440\", 5], [\"CWE-189\", 5], [\"CWE-256\", 5], [\"CWE-259\", 5], [\"CWE-680\", 5], [\"CWE-763\", 5], [\"CWE-321\", 5], [\"CWE-300\", 5], [\"CWE-470\", 4], [\"CWE-335\", 4], [\"CWE-257\", 4], [\"CWE-65\", 4], [\"CWE-273\", 4], [\"CWE-356\", 4], [\"CWE-670\", 4], [\"CWE-592\", 4], [\"CWE-441\", 4], [\"CWE-788\", 4], [\"CWE-388\", 4], [\"CWE-377\", 4], [\"CWE-131\", 4], [\"CWE-185\", 4], [\"CWE-436\", 3], [\"CWE-266\", 3], [\"CWE-114\", 3], [\"CWE-457\", 3], [\"CWE-172\", 3], [\"CWE-117\", 3], [\"CWE-213\", 3], [\"CWE-548\", 3], [\"CWE-170\", 3], [\"CWE-524\", 3], [\"CWE-305\", 3], [\"CWE-913\", 3], [\"CWE-216\", 3], [\"CWE-280\", 3], [\"CWE-208\", 3], [\"CWE-98\", 3], [\"CWE-332\", 3], [\"CWE-61\", 3], [\"CWE-477\", 3], [\"CWE-371\", 2], [\"CWE-410\", 2], [\"CWE-424\", 2], [\"CWE-212\", 2], [\"CWE-657\", 2], [\"CWE-672\", 2], [\"CWE-130\", 2], [\"CWE-838\", 2], [\"CWE-822\", 2], [\"CWE-598\", 2], [\"CWE-260\", 2], [\"CWE-90\", 2], [\"CWE-353\", 2], [\"CWE-628\", 2], [\"CWE-840\", 2], [\"CWE-1333\", 2], [\"CWE-201\", 2], [\"CWE-417\", 2], [\"CWE-664\", 2], [\"CWE-99\", 2], [\"CWE-349\", 1], [\"CWE-394\", 1], [\"CWE-385\", 1], [\"CWE-316\", 1], [\"CWE-649\", 1], [\"CWE-501\", 1], [\"CWE-497\", 1], [\"CWE-123\", 1], [\"CWE-178\", 1], [\"CWE-778\", 1], [\"CWE-242\", 1], [\"CWE-226\", 1], [\"CWE-456\", 1], [\"CWE-756\", 1], [\"CWE-671\", 1], [\"CWE-297\", 1], [\"CWE-1187\", 1], [\"CWE-942\", 1], [\"CWE-277\", 1], [\"CWE-111\", 1], [\"CWE-124\", 1], [\"CWE-184\", 1], [\"CWE-267\", 1], [\"CWE-36\", 1], [\"CWE-460\", 1], [\"CWE-391\", 1], [\"CWE-328\", 1], [\"CWE-118\", 1], [\"CWE-794\", 1], [\"CWE-214\", 1], [\"CWE-215\", 1], [\"CWE-341\", 1], [\"CWE-324\", 1], [\"CWE-1004\", 1], [\"CWE-943\", 1], [\"CWE-155\", 1], [\"CWE-364\", 1], [\"CWE-258\", 1], [\"CWE-159\", 1], [\"CWE-249\", 1], [\"CWE-271\", 1], [\"CWE-268\", 1], [\"CWE-301\", 1], [\"CWE-642\", 1], [\"CWE-21\", 1], [\"CWE-390\", 1], [\"CWE-405\", 1], [\"CWE-18\", 1], [\"CWE-707\", 1], [\"CWE-1049\", 1], [\"CWE-323\", 1], [\"CWE-199\", 1], [\"CWE-325\", 1], [\"CWE-465\", 1], [\"CWE-714\", 1], [\"CWE-419\", 1], [\"CWE-472\", 1], [\"CWE-626\", 1], [\"CWE-952\", 1], [\"CWE-317\", 1], [\"CWE-407\", 1], [\"CWE-412\", 1], [\"CWE-923\", 1], [\"CWE-825\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1009,10 +1005,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:54.613324Z",
-     "iopub.status.busy": "2024-09-13T08:22:54.612997Z",
-     "iopub.status.idle": "2024-09-13T08:22:54.728654Z",
-     "shell.execute_reply": "2024-09-13T08:22:54.728098Z"
+     "iopub.execute_input": "2025-02-02T04:21:44.725144Z",
+     "iopub.status.busy": "2025-02-02T04:21:44.724974Z",
+     "iopub.status.idle": "2025-02-02T04:21:44.841606Z",
+     "shell.execute_reply": "2025-02-02T04:21:44.841003Z"
     },
     "tags": [
      "remove-input"
@@ -1077,10 +1073,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:54.730947Z",
-     "iopub.status.busy": "2024-09-13T08:22:54.730558Z",
-     "iopub.status.idle": "2024-09-13T08:22:54.734878Z",
-     "shell.execute_reply": "2024-09-13T08:22:54.734395Z"
+     "iopub.execute_input": "2025-02-02T04:21:44.843792Z",
+     "iopub.status.busy": "2025-02-02T04:21:44.843316Z",
+     "iopub.status.idle": "2025-02-02T04:21:44.847460Z",
+     "shell.execute_reply": "2025-02-02T04:21:44.846929Z"
     },
     "tags": [
      "remove-input"
@@ -1090,7 +1086,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:22:54.731704**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:21:44.844528**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1122,7 +1118,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVE2020.ipynb b/CVE2020.ipynb
index 59ef430fe3..4224527a35 100644
--- a/CVE2020.ipynb
+++ b/CVE2020.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:22:59.565143Z",
-     "iopub.status.busy": "2024-09-13T08:22:59.564725Z",
-     "iopub.status.idle": "2024-09-13T08:23:00.229424Z",
-     "shell.execute_reply": "2024-09-13T08:23:00.228906Z"
+     "iopub.execute_input": "2025-02-02T04:21:49.707865Z",
+     "iopub.status.busy": "2025-02-02T04:21:49.707482Z",
+     "iopub.status.idle": "2025-02-02T04:21:50.337371Z",
+     "shell.execute_reply": "2025-02-02T04:21:50.336808Z"
     },
     "tags": [
      "remove-cell"
@@ -101,10 +101,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:00.231831Z",
-     "iopub.status.busy": "2024-09-13T08:23:00.231463Z",
-     "iopub.status.idle": "2024-09-13T08:23:20.114117Z",
-     "shell.execute_reply": "2024-09-13T08:23:20.113588Z"
+     "iopub.execute_input": "2025-02-02T04:21:50.339524Z",
+     "iopub.status.busy": "2025-02-02T04:21:50.339090Z",
+     "iopub.status.idle": "2025-02-02T04:22:14.139650Z",
+     "shell.execute_reply": "2025-02-02T04:22:14.139080Z"
     },
     "tags": [
      "remove-cell"
@@ -227,10 +227,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:20.116831Z",
-     "iopub.status.busy": "2024-09-13T08:23:20.116387Z",
-     "iopub.status.idle": "2024-09-13T08:23:20.123442Z",
-     "shell.execute_reply": "2024-09-13T08:23:20.122882Z"
+     "iopub.execute_input": "2025-02-02T04:22:14.141844Z",
+     "iopub.status.busy": "2025-02-02T04:22:14.141468Z",
+     "iopub.status.idle": "2025-02-02T04:22:14.146927Z",
+     "shell.execute_reply": "2025-02-02T04:22:14.146491Z"
     },
     "tags": [
      "remove-input"
@@ -240,7 +240,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **19222**<br />Average CVEs Per Day: **52.66**<br />Average CVSS Score: **7.14**"
+       "Total Number of CVEs: **19222**<br />Average CVEs Per Day: **52.66**<br />Average CVSS Score: **7.11**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -275,10 +275,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:20.125651Z",
-     "iopub.status.busy": "2024-09-13T08:23:20.125471Z",
-     "iopub.status.idle": "2024-09-13T08:23:20.134804Z",
-     "shell.execute_reply": "2024-09-13T08:23:20.134293Z"
+     "iopub.execute_input": "2025-02-02T04:22:14.148685Z",
+     "iopub.status.busy": "2025-02-02T04:22:14.148351Z",
+     "iopub.status.idle": "2025-02-02T04:22:14.156788Z",
+     "shell.execute_reply": "2025-02-02T04:22:14.156352Z"
     },
     "tags": [
      "remove-cell"
@@ -310,10 +310,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:20.137133Z",
-     "iopub.status.busy": "2024-09-13T08:23:20.136834Z",
-     "iopub.status.idle": "2024-09-13T08:23:20.768009Z",
-     "shell.execute_reply": "2024-09-13T08:23:20.767358Z"
+     "iopub.execute_input": "2025-02-02T04:22:14.158534Z",
+     "iopub.status.busy": "2025-02-02T04:22:14.158273Z",
+     "iopub.status.idle": "2025-02-02T04:22:14.792149Z",
+     "shell.execute_reply": "2025-02-02T04:22:14.791577Z"
     },
     "tags": [
      "hide-input",
@@ -323,7 +323,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 2500x300 with 1 Axes>"
       ]
@@ -359,10 +359,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:20.770545Z",
-     "iopub.status.busy": "2024-09-13T08:23:20.770192Z",
-     "iopub.status.idle": "2024-09-13T08:23:20.995549Z",
-     "shell.execute_reply": "2024-09-13T08:23:20.995040Z"
+     "iopub.execute_input": "2025-02-02T04:22:14.794076Z",
+     "iopub.status.busy": "2025-02-02T04:22:14.793699Z",
+     "iopub.status.idle": "2025-02-02T04:22:14.989209Z",
+     "shell.execute_reply": "2025-02-02T04:22:14.988605Z"
     },
     "tags": [
      "remove-input"
@@ -371,7 +371,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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79AJWs28fBSekNWuOyTAMs2MAhWrPnhiFhJwyOwYAAADgFpScBeDj45Pn5379/tSnn64zKQ2Agtq7N0bt2k1TbGya2VFgssxMh2bN2mt2DKDQREQk6e67J6tFi180fHiQ2XEAAAAAl6PkvEpDhwapX79ljAgCPNyePTFq1246BSdyff31ZrMjAIVm2LAg2e3Z///f6/T++yt47wIAAACvQsnpAuPG/a2nnlogh8NpdhQAF7B7d7TatZumuDgKTvxj794YpaZmmh0DcLuwsFhNm7Y7z7Hvvtuivn2XUHQCAADAa1Byusivv+5Xx44zlJGRbXYUAP+ye3e02refrvj4dLOjwMMYhvTFFxvMjgG43eDBa+V0nl9m/vLLTvXo8esFbwMAAACshpLThQIDj6tFi1+UnJxhdhQAknbtila7dhScuLiAgN2XPwmwsJCQU1q0KPyity9YEKYHH5yt7GxmowAAAMDaKDldbNeuaN1++0SmxQIm27kzSu3aTdPZsxScuLjTp5N1+PBZs2MAbmEYhgYMWCNJ+p+9E/P466/DatduGrNRAAAAYGmUnG5w9GiCbr11nCIiksyOAhRJO3ZEqX376UpIsJsdBRYwePBasyMAbrFy5REFBR2XlLM8w6Vs2BChe++dorS0LPcHAwAAANyAktNNYmJS1aTJeIWFnTE7ClCkbN9+moITBbJ06UGzIwAu53QaGjjw8qM4/2379ijdeeckJSXx+gkAAADroeR0I5stQ82b/6yQkFNmRwGKhL//Pq0OHWYoMZEP6Mi/1NQs/fnnIbNjAC61YEGodu6MlnT5UZz/tn9/nJo1m6j4eJbdAQAAgLVQcrqZ3Z6tVq2mavlyPkAD7rRtW6Q6dJhOwYkr8vnn682OALhMVpZDgwcHSpJ8r+Cd3rFjibrttgmKikp2cTIAAADAfSg5C0F2tlPdus3W7Nl7zY4CeKWtWyPVseMMJSVlmB0FFhUSEqmsLIfZMQCXmDJlZ+6GWs4r3DT99Olk3XbbBJ04kei6YAAAAIAbUXIWEsOQnnnmN40Zs8XsKIBXCQk5RcGJq+ZwGBo7NsTsGMBVS0vL0vDh6yTlfy3Oi4mLS9Ntt03QwYNxLkgGAAAAuBclZyF7990VGjRojYyCLJAF4IK2bDmlTp1mymaj4MTVGz/+b7MjAFdt7NgQRUWlSCrYWpwXY7NlqFmzSdqzJ/rqLwYAAAC4ESWnCUaO3KiXX/5DTidFJ3ClgoNPqlOnGRSccJkjRxIUE5NidgzgiiUkpGvUqE2Srn4U57+lpWXprrsms5EiAAAAPBolp0mmTNmlRx+dq+zsK1wsCyjCNm8+qc6dZyo5OdPsKPAyQ4cGmR0BuGKjRm3K3XzN1RNGMjIcatVqqgIDj7n2wgAAAICLUHKaaMmSg2rbNkDp6VlmRwEsY9OmCApOuM38+aFmRwCuSGSkTWPGuHdd2exspzp2nKElSw649XEAAACAK0HJabKNG0/qrrt+VlKS3ewogMfbuDFCXbrMUkoKBSfcIyHBrq1bmZIL6xkxYr3s9my3P47DYeiRR+Zqzpy9bn8sAAAAoCAoOT3Avn2xuu22CawFB1zChg0n1KXLTApOuN2QIUFmRwAK5ODBeE2evKPQHs8wpF69ftPEiWzWBQAAAM9ByekhIiKSdOut43XsWILZUQCPYhiGpk7dqS5dZik1laUd4H5r1x6T4eoFDQE3+uSTQDkchf9v9rXXlumbbzYX+uMCAAAAF0LJ6UHi4tJ0220TtHdvjNlRAI+QmGhXz54L9dJLfygtjYIThSMry6lp03abHQPIl+3bT5u6lmz//qv0ySdrTXt8AAAA4BxKTg+TkpKpO+/8WRs3RpgdBTDVxo0Ratp0Qu6Hd19fH5MToSgZPTrY7AhAvgwalFMw+pj4EvnZZxv0zjt/MQIaAAAApqLk9ECZmQ61aROgJUsOmh0FKHTZ2U4NGxak++8PUEREUu5xp5MPzyg8+/adUXJyhtkxgEtau/aYVq48IilnnUwzjR27VS+99DtFJwAAAExDyemhcnYvnaOpU3eaHQUoNCdOJKpNmwANH75OTqdh6sgkFG2GIX3++QazYwAXZRiGBg5cI8ncUZz/FhCwW088MV8Oh9PsKAAAACiCKDk9mGFIL730h776aqPZUQC3mz8/VE2bTtCmTScl5XxoZ0AQzDR9OutywnMtWhSurVsjJXnWa+Vvv4WrW7fZyspymB0FAAAARQwlpwV8/PEaffDBCqaAwSulpGSqT5/f1aPHr0pK+md6MP/cYbaoqBQdPBhndgzgPNnZTv33v+avxXkxK1ceUdu202S3Z5sdBQAAAEUIJadFjB69Rc89t4h1CeFVduyIUvPmkzRlyi5JnvlhHUXb4MGBZkcAzjN9+m6Fh+cU8J76hdCmTSd1zz2/KDU10+woAAAAKCIoOS1k5sy96tZtljIzmQIGa3M6DX377Wa1aDFZBw/G5x731A/rKLqWLTtkdgQgD7s9W0OHBkny/C+Gdu6M1p13TlJSkt3sKAAAACgCKDktZsWKI7rvvimMjIBlRUenqGvXWfrww1XKymJzCni2tLQsLVt20OwYQK5x47bp1CmbJGt8MRQeHq/bb5+guLg0s6MAAADAy1FyWtDWrafVvPkknT2bbnYUoECWLTuo224br5Urj0jy/FFIgCR99tl6syMAkqSkJLu++GKDJGu9fh4/nqTbbhuv06eTzY4CAAAAL0bJaVEHDsTzgQGWYbdn6513/tKDD85RbOw/o3msMAoJ2Lr1NDtFwyN8881mxcfnfMFptdfPqKgUNWkyXsePJ5odBQAAAF6KktPCIiOTdeut43T48FmzowAXFRYWq7vvnqyxY7dKstboI0DKWUP2+++3mB0DRVxMTIpGj7b2v8OzZ9PVtOl4hYfHmh0FAAAAXoiS0+ISEuy6/fYJ2rkzyuwoQB6GYWjChL/VvPkk7dkTIymn4LTa6CNAkiZM+NvsCCjiPvtsvdLSssyOcdVstkw1bz5Ju3bxvgUAAACuRcnpBVJTs3T33ZMVGHjM7CiAJCk+Pk3du8/X668vk92enXucghNWdfRooqKiWB4E5jh6NEETJ243O4bLpKVl6+67f9HmzSfNjgIAAAAvQsnpJbKynOrQYYYWLgwzOwqKuMDAY2radIIWLw6XJPn6Mj8d3mHIkECzI6CIGjo0SFlZTrNjuFRmpkP33x+g1auPmB0FAAAAXoKS04s4nYaeeGKBJk5kWiUKX1aWQ//97xq1bz9dkZH/jHhzOhm+Ce/w66/7zY6AImjPnhjNmrXH7BhukZ3tVOfOs3K/FAMAAACuBiWnF3rttWX69NN1ZsdAEXL0aILuu2+qvvhiowyDzYXgnRIT7dqy5ZTZMVDEDBq0xqtfV51OQ927z9PMmd5Z5AIAAKDwUHJ6qaFDg/Tmm3/KYBFEuNnMmXt0++0TFBISKYnNheDdmLKOwrRhwwktW3ZIkne/rhqG1Lv3Io0fv83sKAAAALAwSk4v9tNP29Sjx69yOLxrHS94BpstQ717L1Lv3ouUnJyZe9ybP4gDQUHHWYIBhcIwDA0cuEaS947i/F9vvPGnvvxyo9kxAAAAYFGUnF5uwYIwdeo0QxkZ2Zc/GcinkJBTatZsYu70QjYXQlGRleVUQMBOs2OgCFi27JA2bcrZfbwofXk0cOAa/fe/a8yOAQAAAAui5CwC1q49rpYtf1FycobZUWBxDodTI0duUKtWU3X0aELucUa2oSj57rstZkeAl3M4nEVuFOe/ffHFRvXrx5I7AAAAKBhKziJi585oNWs2UXFxaWZHgUVFRtrUseMMDRq0VtnZziL5wRuQpH37YvnSCG41Z84+7dt3RlLRGsX5b+PGbdPzzy/mSzQAAADkGyVnEXLkSIKaNBmnkyeTzI4Ci1m8OFy33TZBgYHHJbG5EDBixHqzI8BLZWRk65NPcja4KupLgcyYsUePPz6PtcUBAACQL5ScRUx0dKqaNBmv/ftjzY4CC0hLy9Jrry3VY4/N09mz6bnHKThR1M2YsdvsCPBSkyZt1/HjiZJYCkSSFi8+oC5dZiory2F2FAAAAHg4Ss4iKCkpQ82bT9LWrZFmR4EH27MnRv/5z8+aOHG7pKK5LhxwMdHRqXxZBJdLTs7IHSXMa+4/Vq8+pvvvD5DdziaKAAAAuDhKziIqPT1b9947RStXHjY7CjyMYRgaOzZEd931s8LCYv913MRQgAc6N6UYcJXvv9+i2NictbN5zc0rOPiUWrSYrJSUTLOjAAAAwENRchZh2dlOdekyS3Pm7DU7CjxEbGyqHnpojt55Z7kyMpgaCFzKn38eYvdnuExcXJq+/nqzJEZxXszu3TFq3nyiEhPtZkcBAACAB6LkLOIMQ+rV6zeNHRtidhSYbOXKI7rttglatuyQJD5kA5eTnp6tJUsOmh0DXmLkyA1KTs4ZpUh3fnEHD55V06YTFBubanYUAAAAeBhKTkiS3nlnuQYPXsuopCIoM9Oh/v1XqnPnmYqOTsk9zj8F4PK++GKD2RHgBSIikvTjj9vMjmEZERFJatJkvCIjbWZHAQAAgAeh5ESuzz/foL59l1B0FiEHD8arZctf9M03wZIYvQkU1LZtp5WRwWYouDrDhgUpM5MlQgoiJiZVTZqM17FjCWZHAQAAgIeg5EQev/yyU48+Ok/Z2U6zo8CNDMPQ1Kk7dccdE7VjR5SknIKTfhsoGKfT0HffbTE7BiwsLCxW06btNjuGJSUk2HXbbRMUFnbG7CgAAADwAJScOM8ffxxQu3bTZLczOskbJSba1bPnQr300h9KTc3KPU7BCVyZiRO3mx0BFjZ48Fo5nbwAX6mUlEw1b/5z7hd2AAAAKLooOXFBGzZE6K67flZSEjuYepNNmyLUtOkEzZ8fKkny9WV+OnC1jh9P1OnTrA2IggsJOaVFi8LNjmF5dnu2Wrb8RRs3RpgdBQAAACai5MRF7d17Rk2bTtCZM+xganXZ2U4NHx6k1q0DFBGRlHuc0UOAawwZEmh2BFiMYRgaMGCNJNZDdoXMTIfatAnQihWHzY4CAAAAk1By4pJOnEjSrbeO0/HjiWZHwRU6cSJRbdoEaNiwdXI6DT5MA27w66/7zY4Ai1m58oiCgo5LYrkQV3E4DHXrNlsLF4aZHQUAAAAmoOTEZcXGpum228Zr374Ys6OggObPD1XTphO0adNJSWwuBLhLUlIGU2WRb06noYEDGcXpDk6noSefXKDp09nMCQAAoKih5ES+JCdn6s47f+ZDvEWkpGSqT5/f1aPHr0pKysg9TsEJuM/w4UFmR4BFLFgQqp07oyXxuuwOhiE9//xi/fBDiNlRAAAAUIgoOZFvGRk5610tXXrQ7Ci4hB07otS8+SRNmbJLEqOEgMISFHRCDofT7BjwcFlZDg0enLOGqy/vwtzq7beX6/PPN5gdAwAAAIWEt9coEIfD0MMPz1FAwC6zo+B/OJ2Gvv12s1q0mKyDB+NzjzNKCCgc2dlOTZ260+wY8HBTpuzU4cNnJUlOOnG3Gzx4rQYMWG12DABeIj09SyEhpxQVlSyDN9kA4HGKmx0A1mMY0osv/q7Y2DT173+P2XEgKTo6Rc8/v1grVx4xOwpQpH33XYhefrm52THgodLSsjR8+DpJrJFcmEaN2qSkJLvGjXtAPkxvAHCFDh2KV4cOMxQRkSRJKlu2hG6+uYoaNLhGN99cWTffXCX3j79/aZPTAkDRRMmJK/bRR6sUE5Oir7/uyIcGEy1bdjC3dJb44AyYKSwsVklJdj7c4ILGjg1RVFSKJF6nC9uECdtls2Voxozu8vXlPQuAgtmzJ0adOs1QTExq7rG0tCzt2hWtXbuizzu/SpUyatDgGt1yS5U85eeNN1ZW6dJ8BAcAd/ExGGd/WTabTf7+/ipdepDs9pJmx/E4vXvfpoCAR/nQUMjs9mx9/PEqjR271ewoAP7lgw9a6ptvOpkdAx4mISFd9eqNVWKinS+jTPTQQzfrt996qHhxVmwCkD/BwSfVrdtsJSbaL3lefl7bfXyka6/1U8OG1+QpP2++uYrq1vVXsWK8NgHwbuf6taSkJPn5+bn8+pSc+UDJeXldu9bX77/3VIkSxcyOUiSEhcXq6acXas+eGEmM3gQ8SfXq5RQd/aHZMeBhBgxYrVGjNpkdA5Latr1ey5c/q5Ilec8C4NJWrz6qRx6Zq7S0rKu6Tn7eq5co4asbb6ykBg2qnjf9vVq1csycA+AVKDk9ACVn/tx9d22tXfu8ypYtYXYUr2UYhiZN2q733luh9PRsSRScgCfat+91NW5czewY8BCRkTbVr/+D7PZss6Pg/911V20FBT2vMmV4zwLgwhYt2q+ePRcqM9NhdhSVL19St9xSRbfcknf9z5tuqiI/v1JmxwOAfKPk9ACUnPnXsOE12rTpJVWqVMbsKF4nPj5Nffsu0aJF4WZHAXAZjz3WQL/91sPsGPAQr722VBMnbjc7Bv5HkybVtGnTS6pQgYIAQF7Tp+/WSy/9LofDvI/K+R3IULVq2Quu/1mvXiWVKsX6nwA8CyWnB6DkLJhrr62grVv7qmbNCmZH8RqBgcfUu/ciRUYmS5J8fX3kdPL/uoCnKl26uNLSBjG1DDp4MF6NGv1k6gdlXFz9+pW1devLfDkLINcPP4To7beXS/LcGVP5yeXr66M6dS68/medOv7spwDAFJScHoCSs+AqVy6jrVtf1o03VjY7iqVlZTk0bFiQRo7c6JFvsABc3G+/PaXHHmtodgyYrEePXzV/fqjZMXAJ117rp7//7qvq1cubHQWAiQzD0Oefb9AnnwRK8tyC83Lyk7tUqWK68cbKatDgmvPW/7zmmrJ8SQvAbSg5PQAl55UpV66ENm58UbffXtPsKJZ09GiCevVaqJCQSEnWfaMFFFV33VVLISF9zY4BE23fflp33vmz2TGQD1WrltX27a+oTh1/s6MAMIFhGOrff5W+/TZYUtGeNeXnV+qi63+WL89nYQBXh5LTA1ByXrmSJYtpxYpn1abN9WZHsZSZM/fojTeWKTk5UxIFJ2BFvr4+SksbxHpYRVjnzjO1cuURXsMtomLF0tq27WXVr1/F7CgACpHD4dSrry7VL7/slFQ0C878/p6qXr3cBae/33BDJZUsWcz9QQFYHiWnB6DkvDq+vj5asOBJde/OtM3Lsdky1K/fn5o5c4/ZUQC4wOeft9WgQa3NjgETrF17TO3bTzc7BgqofPkS2rLlZTVuXM3sKAAKQWamQ88++5sWLAiTxMCCC8nP30mxYj6qW9f/ggVo7dp+rP8JIBclpweg5HSNCRMe0Kuv3ml2DI8VEnJKvXr9pqNHEyQVzW+RAW9z3XX+On78XbNjoJAZhqEWLX7R1q2RfGC2oNKli2vDhhd15521zI4CwI3S0rL0+OPztXz5YUmSr6/kdJocyguVLl1M9etXueD6n1WqlDU7HoBC5u6Skzl0KDSvvbZMsbFpGjyYUU3/5nA49dVXmzRkSJCys/95Z0XBCVjfiRNJOnXKpmuvdf0vcHiuRYvCtXVrznrKFJzWY7dn6557ftGqVc/p/vuvMzsOADdISrLrwQfnaOPGCEk5oxUpON3Dbndo374z2rfvzHm3+fuXUoMG15y3/mf9+pVVrhyDiwAUHCM584GRnK711lt3acyYLuzaJyky0qbevRcpMPC4JKbIAN7ohReaaurUR82OgUKSne1UkybjFR4ex2u6xRUr5qMlS55W1643mR0FgAudOZOqLl1maufOaLOjFEn5/d1Ys2b5C05/v/76iipRgvU/AatiuroHoOR0vaeeaqTZsx9XsWK+ZkcxzeLF4erT5w+dPZsuiYIT8Fb+/qWUmDjA7BgoJFOm7FSfPn+YHQMu4uMjzZv3hJ58srHZUQC4wMmTSerYcYYOHIg3OwouIL/rf15/fUU1bFj1vOnvtWpVYCAN4OEoOT0AJad7tG9/g5Yt61Xkdh5OS8vSBx+s0IQJ282OAqCQrFv3vFq3vt7sGHAzuz1bN930g06dsvHFlZf55ZeH9dJLzcyOAeAqHDoUrw4dZigiIsnsKHCTMmWK66abLrz+Z6VKZcyOB0CsyQkvtmbNMd1zzxStW/eCypcvGuXxnj0xevrphQoLi5XE6E2gqBg+fJ3WrLne7Bhws3HjtunUKZskXtu9TZ8+fyg5OUPvvNPC7CgArsCePTHq1GmGYmJSzY4CN0pPz9aePTHasyfmvNsqVSqdu/5no0bXqFmzmmrWrAabHwFehpGc+cBITveqX7+ytmzp49W/YAzD0A8/bNVHH61SRobD7DgAClnx4r6y2/9bpJfo8HZJSXbdeONYxcen8wWWF/v00zb65JP7zY4BoACCg0+qW7fZSky0mx0FhSw/v49r166g//ynlpo1q6k77sgpPpn2DrgPIznh9Q4fPqsmTcZr69a+XrkDcWxsql588XctW3bI7CgATJKd7dTkyTv06qt3mh0FbvLNN5sVH5+zxjIFp/caMiRISUkZ+vrrjnwABixg9eqjeuSRuUpLyzI7CkyQn9/HkZHJiow8oMWLD+Qeq1KljJo3r6U77qjx/8VnTdWrV0m+vrzuA56OkZz5wEjOwlGxYikFB/dRgwZVzY7iMitXHtHzzy9WdHSKJKanA0VZw4bXKCysn9kx4AYxMSmqV28sH6KLkJdfvkOTJj1I0Ql4sEWL9qtnz4XKzGQWFa5e+fIl1KxZTTVvXjN31GeDBteoeHFm6QCXEh+fptDQWIWGntG+fWe0e3eENm16g5Gc8H6JiRm6445JWrfuBf3nP7XNjnNVMjMd+u9/1+ibb4LzHKfgBIqu/fvjlJiYrooVWfje23z22XoKziJm8uQdSk7O0OzZjzOyB/BA06fv1ksv/S6HgzffuDrnBqmkpGRpw4YIbdgQkXtbyZLF1KRJNd15Zy01a5Yz6rNJk+oqXZqaBUVPUpJdYWGx2rfvjEJD//nfcwO+/uHepUMYyZkPjOQsXMWL++rPP3upY8cbzY5yRQ4ejNfTTy/Ujh1Rkhi9CeAf773XQqNHdzY7Blzo6NEENWjwo7KynGZHgQm6dauv339/mpE8gAf54YcQvf32ckm8D0fh8/X1UYMG1+jOO3OmuzdrVlO3315Dfn6lzI4GuERqaqbCwmLzFJmhoWd08qTtsvfNeU22S/rSbSM5KTnzgZKz8Pn6+mjWrO7q2fNWs6Pkm2EYCgjYpbfe+kupqTkjenhjBeDfqlUrq5iY/mbHgAv17r1IM2fuMTsGTHT//ddpxYpnVaoUI3cAMxmGoc8/36BPPgmUxPtweJbrr6+ou+6qlbur+x131FTVquXMjgVclN2erfDwuP8vMs9o376cMvPYscTL3vfSr7+UnKaj5DTPDz901Ztv3mV2jMtKTLTr1VeXav78ULOjAPBwe/a8riZNqpkdAy6wZ0+Mbr99Ah+ioTvvrKV1615Q2bIlzI4CFEmGYah//1X69tucpaJ8fX3kdPLiDM9Wo0Y5/ec/tXNLz2bNaqpOHT/We0ahysx06ODB+Nw1M3NGZsbq8OGzl30dvbIvkyg5TUfJaa7Bg+/TiBHtzI5xUZs2RahXr98UEZEkiTdVAC7t0Udv0aJFPc2OARd48MHZWrbsEKOFIElq3LiqNm/uw5REoJA5HE69+upS/fLLTkm8F4e1VaxYWs2b593gqH79yqz/jKuWne3UkSNn8xSZ+/ad0cGD8crOvvSyS76+ktNlKzNRcpqOktN8r7xyhyZM8KxdTLOznfr88/X69NP1vJECkG+lSxdXWtogj3o9Q8Ft2HBCrVsHmB0DHqZevUratq2vKldmgzGgMGRmOvTss79pwYIwSUxRh3cqW7aEmjatnmeDo0aNqqpEiWJmR4MHcjoNHTuWcN6ameHhccrIcFzyvoXzGkrJaTpKTs/w2GMNNH/+kx6xuP+JE4l69tlF2rgxZ3c93lABKIgFC57UE080MjsGrpBhGLrvvqnatOkkr/84T61aFbR9+yuqUaO82VEAr5aWlqXHH5+v5csPS3L1SCPAfJd6j1GihK9uvbWamjevmTvV/bbbqrNsShFiGIZOnrTlrpl5rtTcvz9OaWlZl7yvue9fKTlNR8npOVq3rqsVK3qrdGnzFvefPz9Ur7yyRElJGZLMfoEAYEV33llT27a9YnYMXKGlSw/qoYfmmB0DHqxq1bL6++9XVLeuv9lRAK+UlGTXgw/OYcABipxL/Vv39fXRTTdV/v+d3XM2OGrWrKYqVixduCHhUoZhKCoqJU+ReW50ZnJy5iXv65mvjZScpqPk9Cy33VZNGza8VOhrXqWkZOqdd/7SlCm7CvVxAXgfX18fpaYOMvULG1wZh8Op22+fqH37znjoG0d4Cn//Utq2ra9uuqmK2VEArxIbm6rOnWdq585os6MAllC3rt95Gxwx28Azxcam/qvI/GdH84QE+yXvZ633pJScpqPk9DzXX19RISEvq1q1coXyeDt2ROnppxfq4MF4SVZ7EQHgiUaMaKPBg+83OwYKaObMPerde5HZMWAR5cqVUHBwHzVpUt3sKIBXOHXKpo4dZyg8PM7sKIClVatWVs2b54z4PDfq8/rrK7JmfCFJSEjPHY15bmTmvn1nFBubdsn7eUcPQclpOkpOz1S1allt29ZX111X0W2P4XQa+u67YA0cuEZZWSzyA8B16tb114kT75odAwWQkZGtBg1+0vHjiezei3wrVaqY1q9/UXfdVdvsKIClHToUr44dZ+jEiSSzowBeqUKFkv+/s/s/GxzdfHMVFStm/p4YVpWcnKGwsNg8RWZoaKxOn06+5P3Odc3e2dZRcpqOktNzVahQUps3v6Rbb3X9CIno6BQ9//xirVx5xOXXBgBJOnHiHdWtW9HsGMinH34I0dtvLzc7BiyoeHFfrVrVW23aXG92FMCS9uyJUadOMxQTk2p2FKBIKV26uJo2rZ5ng6PGjauqVCmWXPq3tLQs7d8fm6fI3LfvjCIiLv+ljHeMziwISk7TUXJ6tlKliikw8Hm1bFnHZddctuygXnzx99zh4kXvhQdAYXjuuaaaNu1Rs2MgH5KTM3TjjWMVG5vG7wRckWLFfLR4cU89+ODNZkcBLGXLllPq2nWWEhMvvSYdANe51Hud4sV91bDhNXk2OGratIbKl/f+riQjI1sHDsSft2bm0aMJl31vyPvHc7y45Fy/fr2+/vprbd++XVFRUVq0aJEeffTR3NtfeOEFTZs2Lc99OnfurOXL/xlFcfbsWb311ltasmSJfH199fjjj2vMmDEqX/6fhXT37Nmjfv36adu2bapatareeustffTRR/nOScnp+YoX99XixT30wANX98HBbs/Wxx+v0tixW12UDAAurkKFkrLZBpodA/kwYsQ6DRkSZHYMWJyPjzRnzuPq0eNWs6MAlrB69VE9+uhcpaZmmR0FKPIuVdL5+Eg33ljpvA2OKlcuU7ghXSQry6FDh87mWTMzNDRWhw7Fy+G4dIVGmXk57i05TR1jnJqaqqZNm+qll15S9+7dL3hOly5dNHXq1NyfS5XKu6P2M888o6ioKK1atUpZWVl68cUX9corr2j27NmScgrKTp06qUOHDpowYYL27t2rl156SRUrVtQrr7zivieHQpWd7dRDD81RQMCjeu65pld0jbCwWD399ELt2RMjiRcnAO6XnJypoKDjTGH1cHFxafr6682S+N2Aq2MYUs+eC5WcnKmXX77D7DiAR1u8OFw9evyqzEyH2VEA6NLvfwxDOnw4QYcPJ2jOnH25x2vXrqD//KeWmjX7Z4OjWrUqeMwGRw6HU0ePJuQpMvftO6MDB+IuuyeHr6/kvMApvE80l6klZ9euXdW1a9dLnlOqVCnVqFHjgrft379fy5cv17Zt23TnnXdKkn744Qd169ZN33zzjWrVqqVZs2YpMzNTU6ZMUcmSJdW4cWPt2rVLo0ePpuT0MoYhPf/8Yp05k6oPP7ynAPczNGnSdr333gqlp2dL4kMsgMIzfHiQ2rR5wewYuISRIzcoOTlTEr8b4Bp9+y6RzZah999vaXYUwCPNmLFbL774+2VHTAHwbJGRyYqMPKDFiw/kHqtSpYyaN6+l5s1r5o76rFevkluLT6fT0IkTiXnWzAwNPaP9++Nkt2df8r4X6wYuVHDCfB6/WmxQUJCqVaumSpUqqV27dvrss89UpUoVSVJwcLAqVqyYW3BKUocOHeTr66uQkBA99thjCg4OVuvWrVWy5D/TzDt37qxRo0YpISFBlSpVOu8xMzIylJGRkfuzzWaTJJUp4ysfH3YW80SGYSgry5DDIfXvv0oxMcn6/PO2l32hjI9P02uv/anffz8oSSpWTCpRwsdjvlkC4L0cDkOZmYY2bjwpuz2DnSs9VEREkn78cZskqVQpH/n68vsBV+7f71c++GClEhLSNWTIfWbHAjzKuHF/6913V0qSihf3UfHi4r05YEGGYcjpzCkInU7j//9Xio9P18qVR/Js8FuuXIn/Lzxz1vds1qy6GjS4RsWLF+z9sWEYioxMVmhorMLC4hQWljM6c//+uEsue+Hjk/N6c+6///nDa4+rGYav7G5cYtmjS84uXbqoe/fuuuGGG3TkyBENGjRIXbt2VXBwsIoVK6bo6GhVq1Ytz32KFy+uypUrKzo6WpIUHR2tG264Ic851atXz73tQiXnyJEjNXz48POO//RTI5UtW9ZVTw8uZhiG5s6N1rx5Mfrmmy0KDz+sl16qfdEPpHv3Juv77yMUH5+l4sV91Lt3TT30UFU+wAIoFJmZTr34YqhSUx366qsFatq0gtmRcAE//BChzEyHmjQpr08/vZE3u7hqhmFo5swoLVx4Rp99tkGHDh1Uz541+LeFIs8wDP36a4xmzcr5HPfgg9dc8r08AOvJyHDqxIl0HT2ariNH0nXsWJpOnLArNTVLGzee1MaNJ3PPLVnSR9ddV0b16p37U1bXXVdaJUv6yjAMJSZmKyLCrpMn7TpxIud/IyLSlZZ24SGWxYv7qHbtUqpbt/T//ymjunVLq1q1kipWjNeZwpKWlqZevdx3fY8uOXv27Jn7302aNNFtt92mG2+8UUFBQWrfvr3bHnfgwIF6//33c3+22WyqU6eO+vULY+MhCyhRwkdZWYaWLo2Tw+GvX399QiVKFMu9PSvLoU8/3aCvvtolw8j5hqZYMWnu3GjNnRttYnIARU1mZs6bsLlzEzVwYA+T0+B/hYXFKjBwtyTp4MFU9eq11+RE8CbFi/soO9vQvHkxKlOmuiZO7EbRiSLLMAwNHLg2t+AsWdJHq1fHa82asyYnA+BuxYpJvr4+cjpzRnxKksMhZWYaOnQoTYcOpeWe6+vro/r1Kyk+Pl3x8ekXvWbOZ3yf/xmVKZ05k6kzZzL19982tz8vXJhhuHEYpzy85Pxf9erV0zXXXKPDhw+rffv2qlGjhs6cOZPnnOzsbJ09ezZ3Hc8aNWooJiYmzznnfr7YWp+lSpU6b4MjSUpPd8puZ+EFK/nrryPq0GGWVq9+TmXLltDRownq1WuhQkIiJf2zvkZGhiGJNX8AmGP//nglJ2dbdgdKbzV8+IbcN9v8noA7BQTsUUpKlubOfYKlK1DkOBxOvfbaUk2evFNSzmYemZnnXm953QXwD6fT0MGDeb/8OPf94L/XzTQMKTv7Qq8fvKaYz72dmqXeRZ06dUrx8fGqWbOmJKlly5ZKTEzU9u3bc89Zu3atnE6n7r777txz1q9fr6ysf9ZfWLVqlW655ZYLTlWH9wkOPqU775ykyZN36PbbJ5xXcAKAJxg+PMjsCPiXkJBTWrQo3OwYKEJ+/XW/HnhgtrKy2EkaRUdmpkO9ev2WW3D6+LCZB4CCMQw+1+MfppacKSkp2rVrl3bt2iVJOnbsmHbt2qWIiAilpKSof//+2rJli44fP641a9bokUceUf369dW5c2dJUsOGDdWlSxf17dtXW7du1aZNm/Tmm2+qZ8+eqlWrliSpV69eKlmypPr06aPQ0FDNmzdPY8aMyTMdHd5v//449e27JHd3XIkXQgCeZfbsfWZHwP8zDEMDBqyR9M/oAKAwrFhxRO3aTVNGxqV3egW8QVpalh59dK7mzw+VlDOCk/fnAICrYWrJ+ffff6tZs2Zq1qyZJOn9999Xs2bNNGTIEBUrVkx79uzRww8/rJtvvll9+vRR8+bNtWHDhjxTyWfNmqUGDRqoffv26tatm1q1aqVJkybl3u7v76+VK1fq2LFjat68uT744AMNGTJEr7zySqE/X5iPhcsBeKq4uDTt2cO6wJ5g5cojCgo6LokP3Ch8Gzee1D33/KLU1MzLnwxYVFKSXV26zNRffx2WxAhOAIBr+BgGb98vx2azyd/fX6VLD2LjIQCA2zz00M3644+nzY5RpDmdhu68c5J27oxmWROYqmHDaxQc3Ef+/qXNjgK4VGxsqrp0maUdO6LMjgIAKHR2SV8qKSlJfn5+Lr+6pdbkBADAm61ceUR892iuBQtCtXNnzoha/k8BM+3fH6dmzSYqPj7t8icDFnHqlE2tWwdQcAIA3IKSEwAAD5GR4dCCBWFmxyiysrIcGjw4UFLO2nCA2Y4dS1STJuMVFZVsdhTgqh0+fFatWk1ReHic2VEAAF6Kt/AAAHiQUaM2mR2hyJoyZacOHz4ribXh4DmiolLUpMl4nTiRaHYU4Irt3RujVq2m6MSJJLOjAAC8GCUnAAAeZOfOKKWnZ5kdo8hJS8vS8OHrJLGjOjxPfHy6brttgg4cYAQcrGfLllO6//4AxcSkmh0FAODlKDkBAPAghiF99RWjOQvb2LEhiopKkcRanPBMNluG7rhjkrZtizQ7CpBva9YcVYcO05WQYDc7CgCgCKDkBADAw/zyy06zIxQpCQnpucsEMIoTniwtLUt33TVZjz46V2FhsWbHAS7p99/D1a3bbKWmMjsBAFA4KDkBAPAwJ0/adPx4otkxioxRozYpMTFnlBGjOGEFv/9+QI0bj1P37vO0fz9lJzzPjBm79fjj85WZ6TA7CgCgCKHkBADAA33ySaDZEYqEyEibxowJMTsGcEUWLQpXo0bj9OST81mvEx7jp5+26rnnFsvhMBgdDwAoVJScAAB4oN9/Dzc7QpEwYsR62e3ZZscArsqvv+5Xw4Y/qUePX3XoULzZcVBEGYahL77YoDff/EtSzvIfjI4HABQmSk4AADxQcnKm1qw5anYMr3boULwmT95hdgzAJQxDmj8/VLfc8qN69VqoI0fOmh0JRYhhGPr449X673/XSqLgBACYg5ITAAAP9emn68yO4NUGDw6Uw8GncHgXw5DmzNmnm2/+Qb17/6ajRxPMjgQv53A49eqrS/X115slSb6+FJwAAHNQcgIA4KE2bTqp7Gw2bXCH7dtPa/78ULNjAG7jdEozZ+7VTTf9oOefX8RmZnCLzEyHnnnmN/38c86oeB+fnH97AACYgZITAAAP5XAYmjBhu9kxvNKgQf9MqQS8mdNpaPr0PbrxxrF68cXFOnEi0exI8BJpaVl67LF5mjcv5wsjRnACAMxGyQkAgAf74YetZkfwOmvXHtPKlUck8YEcRYfTaSggYLduvHGs+vT5QxERSWZHgoXZbBnq2nWW/vzzkCRGcAIAPAMlJwAAHuzgwXjFxaWaHcNrGIahgQPXSGIUJ4omh8PQlCk7Va/eGPXt+4dOnbKZHQkWExeXpnbtpmn9+hO5x/jCCADgCSg5AQDwcMOHswGRqyxeHK6tWyMl8aEcRZvDYWjy5J26/vrv9dprSxUZSdmJy4uMtKl166navj3K7CgAAJyHkhMAAA83Z84+syN4hexsJ2txAv/D4TA0ceJ2XX/9GL3xxjKdPp1sdiR4qMOHz6pVq6navz/O7CgAAFwQJScAAB4uPj5dO3cyauZqTZ++W+HhOR/OGcUJ5JWd7dT48X/r+uu/11tv/aXo6BSzI8GD7N0bo/vum6rjxxPNjgIAwEVRcgIAYAFDhgSaHcHS7PZsDR0aJIlRnMClZGU59eOPW1W37nd6553liomh7CzqQkJO6f77Ayi+AQAej5ITAAALWLXqqAyGH16xceO25W6wwl8jcHlZWU6NHRuiOnW+0/vvr9CZM2yAVhStXXtM7dtPV0KC3ewoAABcFiUnAAAWkJHh0Ny5rM15JZKS7Priiw2SGMUJFFRWllPffbdFdep8pw8/XKm4uDSzI6GQ/P57uLp1m6XU1CyzowAAkC+UnAAAWMTXX282O4IlffttsOLj0yUxihO4UpmZDn37bbCuvXa0PvpoleLjKTu92cyZe/T44/OVkeEwOwoAAPlGyQkAgEXs2hWttLRMs2NYSkxMikaPDpbEKE7AFTIyHPr6682qXXu0BgxYrbNn082OBBcbN26bevdeJIfD4HUTAGAplJwAAFiEYUijRm0yO4alfPbZ+typloziBFwnI8OhUaM2qXbt0frvf9coIYGy0+oMw9DIkRvUr9+fknK+GOJ1EwBgJZScAABYyJQpO82OYBlHjyZo4sTtZscAvJrdnq0vvtio2rVHa8iQQCUmskGNFRmGoQEDVmvQoLWSKDgBANZEyQkAgIWcOpWsY8cSzI5hCUOHBikry2l2DKBISE/P1ogR61W79rcaNixISUmUnVbhcDj12mtL9dVXOes++/r6UHACACyJkhMAAIsZPHit2RE83p49MZo1a4/ZMYAiJy0tW8OHr1OtWqP16afrZLNlmB0Jl5CV5dCzzy7SpEk7JOWM4HQ6aTgBANZEyQkAgMX88cdBsyN4vEGD1sgw2GwIMEtaWpaGDg1S7dqj9dln65WcTNnpadLTs/TYY/M0d+4+SZKvL1PUAQDWRskJAIDFpKRkatWqI2bH8FgbNpzQsmWHJPGBHTBbSkqmPvkkULVrj9bIkRuUkpJpdiRIstky1KXLrNzXypwRnCaHAgDgKlFyAgBgQSNGrDc7gkcyDEMDB66RxChOwJMkJ2dq0KC1qlXrW40atVGpqZSdZomLS1O7dtO0fv2J3GN8IQQA8AaUnAAAWNDmzSeVne0wO4bHWbbskDZtOimJD+2AJ0pOztSAAWtUq9ZoffPNZqWlZZkdqUiJjLSpdeup2r49yuwoAAC4HCUnAAAW5HAY+umnbWbH8CgOh5NRnIBF2GwZ6t9/lWrXHq3Ro4OVnk7Z6W5HjpxVq1ZTtX9/nNlRAABwC0pOAAAsipIzrzlz9mnfvjOSGMUJWEViol0ffLBStWuP1vffb6HsdJN9+86oVaupOn480ewoAAC4DSUnAAAWdejQWcXGppodwyNkZGTrk08CJUm+vgzjBKwmIcGu995boWuv/U5jx4bIbs82O5LXCAk5pdatpyo6OsXsKAAAuBUlJwAAFjZsWJDZETzCpEnbc0coOZ0M4wSs6uzZdL3zznJde+1o/fjjVmVkUHZejbVrj6l9++lKSLCbHQUAALej5AQAwMLmzg01O4LpkpMzcnebZy1OwDvEx6frrbf+0rXXfqdx47ZRdl6B338PV7dus5SayhIAAICigZITAAALO3s2Xdu3nzY7hqm+/36LYmPTJLEWJ+Bt4uLS1K/fn6pT5ztNmPC3MjMdZkeyhJkz9+jxx+crI4O/LwBA0UHJCQCAxQ0ZEmR2BNPExaXp6683S2IUJ+DNYmPT9Prry1S37neaNGm7srIo7y5m3Lht6t17kRwOg9dFAECRQskJAIDFrV59VEYRHcI4cuQGJSdnSmIUJ1AUxMSk6tVXl6pu3e/1yy87KDv/xTAMjRy5Qf36/Skp54sfXhcBAEUJJScAABaXmenQrFl7zY5R6CIikvTjj9vMjgHABNHRKXr55SW6/vrvFRCwS9nZTrMjmcowDA0YsFqDBq2VRMEJACiaKDkBAPAC33yz2ewIhW7YsCDW5wOKuNOnU/Tii7/r+uu/1/Tpu4tk2elwOPXaa0v11Vc5vwd8fX0oOAEARRIlJwAAXmDPnhilpmaaHaPQhIXFatq03WbHAOAhIiOT9fzzi3XDDWM0c+YeORxFo+zMynLo2WcXadKkHZJyRnA6nTScAICiiZITAAAvYBjSyJEbzY5RaAYPXssHeQDnOXXKpt69F6levbGaPXuvV5ed6elZeuyxeZo7d58kpqgDAEDJCQCAl5g6dZfZEQpFSMgpLVoUbnYMAB4sIiJJzzzzm+rX/0Fz5+7zui9FbLYMdekyS8uWHZJEwQkAgETJCQCA1zh9OllHjpw1O4Zb5WyusUZSzod6ALiU48cT9fTTC1W//ljNnx/qFWVnXFya2rWbpvXrT+Qeo+AEAICSEwAArzJ48FqzI7jVypVHFBR0XBIf6gHk37FjierR41fdfPMP+vXXMMuWnZGRNrVuPVXbt0eZHQUAAI9DyQkAgBdZsuSg2RHcxuk0NHAgozgBXLkjRxL05JML1KDBj/rtt/2WKjuPHDmrVq2mav/+OLOjAADgkSg5AQDwIqmpWVq+/LDZMdxiwYJQ7dwZLYlRnACuzqFDZ/X44/PVqNFP+v33cBke/qKyb98ZtWo1VcePJ5odBQAAj0XJCQCAl/nss/VmR3C5rCyHBg8OlCT58u4FgIscOBCvRx+dp8aNx2nJkgMeWXZu3Rqp1q2nKjo6xewoAAB4ND4mAADgZbZsOaWsLIfZMVxqypSdOnw4Z1Mlp9PkMAC8zv79cXr44blq0mS8li076DFlZ2DgMbVvP10JCXazowAA4PFcUnImJia64jIAAMAFHA5DP/641ewYLpOWlqXhw9dJYi1OAO4VGhqrBx+co6ZNJ+ivvw6ZWnb+8ccBde06SykpmaZlAADASgpcco4aNUrz5s3L/fmpp55SlSpVVLt2be3evdul4QAAwJUZN26b2RFcZuzYEEVF5UzT9JDBVQC83N69Z9St22zdfvtErVhxuNDLzlmz9qh793nKyPCuUfkAALhTgUvOCRMmqE6dOpKkVatWadWqVfrrr7/UtWtX9e/f3+UBAQBAwR0+nKCYGOuv35aQkK5RozZJYhQngMK3Z0+MunSZpebNJ2nVqiOFUnaOG7dNvXsvksNh8LoHAEABFLjkjI6Ozi05ly5dqqeeekqdOnXSRx99pG3bvGfUCAAAVjdsWJDZEa7aqFGblJiYsxYdozgBmGXnzmh16jRT//nPz1qz5qjbys6RIzeoX78/ZRg5X+zwugcAQP4VuOSsVKmSTp48KUlavny5OnToIEkyDEMOB9MpAADwFPPnh5od4apERto0ZkyI2TEAINf27VHq0GGG7r57soKCjrvsuoZhaMCA1Ro0aK0kCk4AAK5EgUvO7t27q1evXurYsaPi4+PVtWtXSdLOnTtVv359lwcEAABX5uxZu7ZtizQ7xhUbMWK97PZss2MAwHm2bTuttm2nqUWLyVq//sRVXcvhcOr115flLs3h6+tDwQkAwBUocMn53Xff6c0331SjRo20atUqlS9fXpIUFRWlN954w+UBAQDAlRsyJNDsCFfk0KF4TZ68w+wYAHBJISGRuv/+AN177y/auDGiwPfPynKod+9Fmjhxu6ScEZxOJw0nAABXwsco7K0CLchms8nf31+lSw+S3V7S7DgAAORbyZLFZLf/Vz4W272iR49fLT/dHkDR06pVXY0a1UH33FPnsuemp2fpyScXaNmyQ5KYog4AKArskr5UUlKS/Pz8XH71fI/kfOONN5SS8s8urXPmzFFqamruz4mJierWrZtr0wEAgKuSmenQjBm7zY5RINu3n6bgBGBJGzdG6N57p+j++6dqy5ZTFz3PZstQ166zKDgBAHChfJecEydOVFpaWu7Pr776qmJiYnJ/zsjI0IoVK1ybDgAAXLVvvw02O0KB/HvjDQCwovXrI9Sy5S9q23aatm7NuzZyXFya2refrnXr/lnLk4ITAICrl++S839ntTPLHQAAa9i794ySkzPMjpEva9ce08qVRyTxoR+A9QUFHdfdd09W+/bT9fffpxUZadP99wfo779Pmx0NAACvU+CNhwAAgLU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cu/QCVrNvHwUnpDVrjskwDLNjAIVqz54YhYScMjsGAAAA4BaUnAXg4+OT5+d+/f7Up5+uMykNgILauzdG7dpNU2xsmtlRYLLMTIdmzdprdgyg0EREJOnuuyerRYtfNHx4kNlxAAAAAJej5LxKQ4cGqV+/ZYwIAjzcnj0xatduOgUncn399WazIwCFZtiwINnt2f//3+v0/vsreO8CAAAAr0LJ6QLjxv2tp55aIIfDaXYUABewe3e02rWbprg4Ck78Y+/eGKWmZpodA3C7sLBYTZu2O8+x777bor59l1B0AgAAwGtQcrrIr7/uV8eOM5SRkW12FAD/snt3tNq3n674+HSzo8DDGIb0xRcbzI4BuN3gwWvldJ5fZv7yy0716PHrBW8DAAAArIaS04UCA4+rRYtflJycYXYUAJJ27YpWu3YUnLi4gIDdlz8JsLCQkFNatCj8orcvWBCmBx+crexsZqMAAADA2ig5XWzXrmjdfvtEpsUCJtu5M0rt2k3T2bMUnLi406eTdfjwWbNjAG5hGIYGDFgjSfqfvRPz+Ouvw2rXbhqzUQAAAGBplJxucPRogm69dZwiIpLMjgIUSTt2RKl9++lKSLCbHQUWMHjwWrMjAG6xcuURBQUdl5SzPMOlbNgQoXvvnaK0tCz3BwMAAADcgJLTTWJiUtWkyXiFhZ0xOwpQpGzffpqCEwWydOlBsyMALud0Gho48PKjOP9t+/Yo3XnnJCUl8foJAAAA66HkdCObLUPNm/+skJBTZkcBioS//z6tDh1mKDGRD+jIv9TULP355yGzYwAutWBBqHbujJZ0+VGc/7Z/f5yaNZuo+HiW3QEAAIC1UHK6md2erVatpmr5cj5AA+60bVukOnSYTsGJK/L55+vNjgC4TFaWQ4MHB0qSfK/gnd6xY4m67bYJiopKdnEyAAAAwH0oOQtBdrZT3brN1uzZe82OAnilrVsj1bHjDCUlZZgdBRYVEhKprCyH2TEAl5gyZWfuhlrOK9w0/fTpZN122wSdOJHoumAAAACAG1FyFhLDkJ555jeNGbPF7CiAVwkJOUXBiavmcBgaOzbE7BjAVUtLy9Lw4esk5X8tzouJi0vTbbdN0MGDcS5IBgAAALgXJWche/fdFRo0aI2MgiyQBeCCtmw5pU6dZspmo+DE1Rs//m+zIwBXbezYEEVFpUgq2FqcF2OzZahZs0nasyf66i8GAAAAuBElpwlGjtyol1/+Q04nRSdwpYKDT6pTpxkUnHCZI0cSFBOTYnYM4IolJKRr1KhNkq5+FOe/paVl6a67JrORIgAAADwaJadJpkzZpUcfnavs7CtcLAsowjZvPqnOnWcqOTnT7CjwMkOHBpkdAbhio0Ztyt18zdUTRjIyHGrVaqoCA4+59sIAAACAi1BymmjJkoNq2zZA6elZZkcBLGPTpggKTrjN/PmhZkcArkhkpE1jxrh3XdnsbKc6dpyhJUsOuPVxAAAAgCtByWmyjRtP6q67flZSkt3sKIDH27gxQl26zFJKCgUn3CMhwa6tW5mSC+sZMWK97PZstz+Ow2HokUfmas6cvW5/LAAAAKAgKDk9wL59sbrttgmsBQdcwoYNJ9Sly0wKTrjdkCFBZkcACuTgwXhNnryj0B7PMKRevX7TxIls1gUAAADPQcnpISIiknTrreN17FiC2VEAj2IYhqZO3akuXWYpNZWlHeB+a9cek+HqBQ0BN/rkk0A5HIX/b/a115bpm282F/rjAgAAABdCyelB4uLSdNttE7R3b4zZUQCPkJhoV8+eC/XSS38oLY2CE4UjK8upadN2mx0DyJft20+bupZs//6r9Mkna017fAAAAOAcSk4Pk5KSqTvv/FkbN0aYHQUw1caNEWradELuh3dfXx+TE6EoGT062OwIQL4MGpRTMPqY+BL52Wcb9M47fzECGgAAAKai5PRAmZkOtWkToCVLDpodBSh02dlODRsWpPvvD1BERFLucaeTD88oPPv2nVFycobZMYBLWrv2mFauPCIpZ51MM40du1UvvfQ7RScAAABMQ8npoXJ2L52jqVN3mh0FKDQnTiSqTZsADR++Tk6nYerIJBRthiF9/vkGs2MAF2UYhgYOXCPJ3FGc/xYQsFtPPDFfDofT7CgAAAAogig5PZhhSC+99Ie++mqj2VEAt5s/P1RNm07Qpk0nJeV8aGdAEMw0fTrrcsJzLVoUrq1bIyV51mvlb7+Fq1u32crKcpgdBQAAAEUMJacFfPzxGn3wwQqmgMErpaRkqk+f39Wjx69KSvpnejD/3GG2qKgUHTwYZ3YM4DzZ2U7997/mr8V5MStXHlHbttNkt2ebHQUAAABFCCWnRYwevUXPPbeIdQnhVXbsiFLz5pM0ZcouSZ75YR1F2+DBgWZHAM4zffpuhYfnFPCe+oXQpk0ndc89vyg1NdPsKAAAACgiKDktZObMverWbZYyM5kCBmtzOg19++1mtWgxWQcPxuce99QP6yi6li07ZHYEIA+7PVtDhwZJ8vwvhnbujNadd05SUpLd7CgAAAAoAig5LWbFiiO6774pjIyAZUVHp6hr11n68MNVyspicwp4trS0LC1bdtDsGECuceO26dQpmyRrfDEUHh6v22+foLi4NLOjAAAAwMtRclrQ1q2n1bz5JJ09m252FKBAli07qNtuG6+VK49I8vxRSIAkffbZerMjAJKkpCS7vvhigyRrvX4eP56k224br9Onk82OAgAAAC9GyWlRBw7E84EBlmG3Z+udd/7Sgw/OUWzsP6N5rDAKCdi69TQ7RcMjfPPNZsXH53zBabXXz6ioFDVpMl7HjyeaHQUAAABeipLTwiIjk3XrreN0+PBZs6MAFxUWFqu7756ssWO3SrLW6CNAyllD9vvvt5gdA0VcTEyKRo+29r/Ds2fT1bTpeIWHx5odBQAAAF6IktPiEhLsuv32Cdq5M8rsKEAehmFowoS/1bz5JO3ZEyMpp+C02ugjQJImTPjb7Ago4j77bL3S0rLMjnHVbLZMNW8+Sbt28b4FAAAArkXJ6QVSU7N0992TFRh4zOwogCQpPj5N3bvP1+uvL5Pdnp17nIITVnX0aKKiolgeBOY4ejRBEyduNzuGy6SlZevuu3/R5s0nzY4CAAAAL0LJ6SWyspzq0GGGFi4MMzsKirjAwGNq2nSCFi8OlyT5+jI/Hd5hyJBAsyOgiBo6NEhZWU6zY7hUZqZD998foNWrj5gdBQAAAF6CktOLOJ2GnnhigSZOZFolCl9WlkP//e8atW8/XZGR/4x4czoZvgnv8Ouv+82OgCJoz54YzZq1x+wYbpGd7VTnzrNyvxQDAAAArgYlpxd67bVl+vTTdWbHQBFy9GiC7rtvqr74YqMMg82F4J0SE+3asuWU2TFQxAwatMarX1edTkPdu8/TzJneWeQCAACg8FByeqmhQ4P05pt/ymARRLjZzJl7dPvtExQSEimJzYXg3ZiyjsK0YcMJLVt2SJJ3v64ahtS79yKNH7/N7CgAAACwMEpOL/bTT9vUo8evcji8ax0veAabLUO9ey9S796LlJycmXvcmz+IA0FBx1mCAYXCMAwNHLhGkveO4vxfb7zxp778cqPZMQAAAGBRlJxebsGCMHXqNEMZGdmXPxnIp5CQU2rWbGLu9EI2F0JRkZXlVEDATrNjoAhYtuyQNm3K2X28KH15NHDgGv33v2vMjgEAAAALouQsAtauPa6WLX9RcnKG2VFgcQ6HUyNHblCrVlN19GhC7nFGtqEo+e67LWZHgJdzOJxFbhTnv33xxUb168eSOwAAACgYSs4iYufOaDVrNlFxcWlmR4FFRUba1LHjDA0atFbZ2c4i+cEbkKR9+2L50ghuNWfOPu3bd0ZS0RrF+W/jxm3T888v5ks0AAAA5BslZxFy5EiCmjQZp5Mnk8yOAotZvDhct902QYGBxyWxuRAwYsR6syPAS2VkZOuTT3I2uCrqS4HMmLFHjz8+j7XFAQAAkC+UnEVMdHSqmjQZr/37Y82OAgtIS8vSa68t1WOPzdPZs+m5xyk4UdTNmLHb7AjwUpMmbdfx44mSWApEkhYvPqAuXWYqK8thdhQAAAB4OErOIigpKUPNm0/S1q2RZkeBB9uzJ0b/+c/Pmjhxu6SiuS4ccDHR0al8WQSXS07OyB0lzGvuP1avPqb77w+Q3c4migAAALg4Ss4iKj09W/feO0UrVx42Owo8jGEYGjs2RHfd9bPCwmL/ddzEUIAHOjelGHCV77/fotjYnLWzec3NKzj4lFq0mKyUlEyzowAAAMBDUXIWYdnZTnXpMktz5uw1Owo8RGxsqh56aI7eeWe5MjKYGghcyp9/HmL3Z7hMXFyavv56syRGcV7M7t0xat58ohIT7WZHAQAAgAei5CziDEPq1es3jR0bYnYUmGzlyiO67bYJWrbskCQ+ZAOXk56erSVLDpodA15i5MgNSk7OGaVId35xBw+eVdOmExQbm2p2FAAAAHgYSk5Ikt55Z7kGD17LqKQiKDPTof79V6pz55mKjk7JPc4/BeDyvvhig9kR4AUiIpL044/bzI5hGRERSWrSZLwiI21mRwEAAIAHoeRErs8/36C+fZdQdBYhBw/Gq2XLX/TNN8GSGL0JFNS2baeVkcFmKLg6w4YFKTOTJUIKIiYmVU2ajNexYwlmRwEAAICHoOREHr/8slOPPjpP2dlOs6PAjQzD0NSpO3XHHRO1Y0eUpJyCk34bKBin09B3320xOwYsLCwsVtOm7TY7hiUlJNh1220TFBZ2xuwoAAAA8ACUnDjPH38cULt202S3MzrJGyUm2tWz50K99NIfSk3Nyj1OwQlcmYkTt5sdARY2ePBaOZ28AF+plJRMNW/+c+4XdgAAACi6KDlxQRs2ROiuu35WUhI7mHqTTZsi1LTpBM2fHypJ8vVlfjpwtY4fT9Tp06wNiIILCTmlRYvCzY5heXZ7tlq2/EUbN0aYHQUAAAAmouTERe3de0ZNm07QmTPsYGp12dlODR8epNatAxQRkZR7nNFDgGsMGRJodgRYjGEYGjBgjSTWQ3aFzEyH2rQJ0IoVh82OAgAAAJNQcuKSTpxI0q23jtPx44lmR8EVOnEiUW3aBGjYsHVyOg0+TANu8Ouv+82OAItZufKIgoKOS2K5EFdxOAx16zZbCxeGmR0FAAAAJqDkxGXFxqbpttvGa9++GLOjoIDmzw9V06YTtGnTSUlsLgS4S1JSBlNlkW9Op6GBAxnF6Q5Op6Enn1yg6dPZzAkAAKCooeREviQnZ+rOO3/mQ7xFpKRkqk+f39Wjx69KSsrIPU7BCbjP8OFBZkeARSxYEKqdO6Ml8brsDoYhPf/8Yv3wQ4jZUQAAAFCIKDmRbxkZOetdLV160OwouIQdO6LUvPkkTZmySxKjhIDCEhR0Qg6H0+wY8HBZWQ4NHpyzhqsv78Lc6u23l+vzzzeYHQMAAACFhLfXKBCHw9DDD89RQMAus6Pgfzidhr79drNatJisgwfjc48zSggoHNnZTk2dutPsGPBwU6bs1OHDZyVJTjpxtxs8eK0GDFhtdgwAXiI9PUshIacUFZUsgzfZAOBxipsdANZjGNKLL/6u2Ng09e9/j9lxICk6OkXPP79YK1ceMTsKUKR9912IXn65udkx4KHS0rI0fPg6SayRXJhGjdqkpCS7xo17QD5MbwBwhQ4dileHDjMUEZEkSSpbtoRuvrmKGjS4RjffXFk331wl94+/f2mT0wJA0UTJiSv20UerFBOToq+/7siHBhMtW3Ywt3SW+OAMmCksLFZJSXY+3OCCxo4NUVRUiiRepwvbhAnbZbNlaMaM7vL15T0LgILZsydGnTrNUExMau6xtLQs7doVrV27os87v0qVMmrQ4BrdckuVPOXnjTdWVunSfAQHAHfxMRhnf1k2m03+/v4qXXqQ7PaSZsfxOL1736aAgEf50FDI7PZsffzxKo0du9XsKAD+5YMPWuqbbzqZHQMeJiEhXfXqjVViop0vo0z00EM367ffeqh4cVZsApA/wcEn1a3bbCUm2i95Xn5e2318pGuv9VPDhtfkKT9vvrmK6tb1V7FivDYB8G7n+rWkpCT5+fm5/PqUnPlAyXl5XbvW1++/91SJEsXMjlIkhIXF6umnF2rPnhhJjN4EPEn16uUUHf2h2THgYQYMWK1RozaZHQOS2ra9XsuXP6uSJXnPAuDSVq8+qkcemau0tKyruk5+3quXKOGrG2+spAYNqp43/b1atXLMnAPgFSg5PQAlZ/7cfXdtrV37vMqWLWF2FK9lGIYmTdqu995bofT0bEkUnIAn2rfvdTVuXM3sGPAQkZE21a//g+z2bLOj4P/ddVdtBQU9rzJleM8C4MIWLdqvnj0XKjPTYXYUlS9fUrfcUkW33JJ3/c+bbqoiP79SZscDgHyj5PQAlJz517DhNdq06SVVqlTG7CheJz4+TX37LtGiReFmRwFwGY891kC//dbD7BjwEK+9tlQTJ243Owb+R5Mm1bRp00uqUIGCAEBe06fv1ksv/S6Hw7yPyvkdyFC1atkLrv9Zr14llSrF+p8APAslpweg5CyYa6+toK1b+6pmzQpmR/EagYHH1Lv3IkVGJkuSfH195HTy/7qApypdurjS0gYxtQw6eDBejRr9ZOoHZVxc/fqVtXXry3w5CyDXDz+E6O23l0vy3BlT+cnl6+ujOnUuvP5nnTr+7KcAwBSUnB6AkrPgKlcuo61bX9aNN1Y2O4qlZWU5NGxYkEaO3OiRb7AAXNxvvz2lxx5raHYMmKxHj181f36o2TFwCdde66e//+6r6tXLmx0FgIkMw9Dnn2/QJ58ESvLcgvNy8pO7VKliuvHGymrQ4Jrz1v+85pqyfEkLwG0oOT0AJeeVKVeuhDZufFG3317T7CiWdPRognr1WqiQkEhJ1n2jBRRVd91VSyEhfc2OARNt335ad975s9kxkA9Vq5bV9u2vqE4df7OjADCBYRjq33+Vvv02WFLRnjXl51fqout/li/PZ2EAV4eS0wNQcl65kiWLacWKZ9WmzfVmR7GUmTP36I03lik5OVMSBSdgRb6+PkpLG8R6WEVY584ztXLlEV7DLaJixdLatu1l1a9fxewoAAqRw+HUq68u1S+/7JRUNAvO/P6eql693AWnv99wQyWVLFnM/UEBWB4lpweg5Lw6vr4+WrDgSXXvzrTNy7HZMtSv35+aOXOP2VEAuMDnn7fVoEGtzY4BE6xde0zt2083OwYKqHz5Etqy5WU1blzN7CgACkFmpkPPPvubFiwIk8TAggvJz99JsWI+qlvX/4IFaO3afqz/CSAXJacHoOR0jQkTHtCrr95pdgyPFRJySr16/aajRxMkFc1vkQFvc911/jp+/F2zY6CQGYahFi1+0datkXxgtqDSpYtrw4YXdeedtcyOAsCN0tKy9Pjj87V8+WFJkq+v5HSaHMoLlS5dTPXrV7ng+p9VqpQ1Ox6AQubukpM5dCg0r722TLGxaRo8mFFN/+ZwOPXVV5s0ZEiQsrP/eWdFwQlY34kTSTp1yqZrr3X9L3B4rkWLwrV1a856yhSc1mO3Z+uee37RqlXP6f77rzM7DgA3SEqy68EH52jjxghJOaMVKTjdw253aN++M9q378x5t/n7l1KDBtect/5n/fqVVa4cg4sAFBwjOfOBkZyu9dZbd2nMmC7s2icpMtKm3r0XKTDwuCSmyADe6IUXmmrq1EfNjoFCkp3tVJMm4xUeHsdrusUVK+ajJUueVteuN5kdBYALnTmTqi5dZmrnzmizoxRJ+f3dWLNm+QtOf7/++ooqUYL1PwGrYrq6B6DkdL2nnmqk2bMfV7FivmZHMc3ixeHq0+cPnT2bLomCE/BW/v6llJg4wOwYKCRTpuxUnz5/mB0DLuLjI82b94SefLKx2VEAuMDJk0nq2HGGDhyINzsKLiC/639ef31FNWxY9bzp77VqVWAgDeDhKDk9ACWne7Rvf4OWLetV5HYeTkvL0gcfrNCECdvNjgKgkKxb97xat77e7BhwM7s9Wzfd9INOnbLxxZWX+eWXh/XSS83MjgHgKhw6FK8OHWYoIiLJ7ChwkzJliuummy68/melSmXMjgdArMkJL7ZmzTHdc88UrVv3gsqXLxrl8Z49MXr66YUKC4uVxOhNoKgYPnyd1qy53uwYcLNx47bp1CmbJF7bvU2fPn8oOTlD77zTwuwoAK7Anj0x6tRphmJiUs2OAjdKT8/Wnj0x2rMn5rzbKlUqnbv+Z6NG16hZs5pq1qwGmx8BXoaRnPnASE73ql+/srZs6ePVv2AMw9APP2zVRx+tUkaGw+w4AApZ8eK+stv/W6SX6PB2SUl23XjjWMXHp/MFlhf79NM2+uST+82OAaAAgoNPqlu32UpMtJsdBYUsP7+Pa9euoP/8p5aaNaupO+7IKT6Z9g64DyM54fUOHz6rJk3Ga+vWvl65A3FsbKpefPF3LVt2yOwoAEySne3U5Mk79Oqrd5odBW7yzTebFR+fs8YyBaf3GjIkSElJGfr66458AAYsYPXqo3rkkblKS8syOwpMkJ/fx5GRyYqMPKDFiw/kHqtSpYyaN6+lO+6o8f/FZ03Vq1dJvr687gOejpGc+cBIzsJRsWIpBQf3UYMGVc2O4jIrVx7R888vVnR0iiSmpwNFWcOG1ygsrJ/ZMeAGMTEpqldvLB+ii5CXX75DkyY9SNEJeLBFi/arZ8+FysxkFhWuXvnyJdSsWU01b14zd9RngwbXqHhxZukAlxIfn6bQ0FiFhp7Rvn1ntHt3hDZteoORnPB+iYkZuuOOSVq37gX95z+1zY5zVTIzHfrvf9fom2+C8xyn4ASKrv3745SYmK6KFVn43tt89tl6Cs4iZvLkHUpOztDs2Y8zsgfwQNOn79ZLL/0uh4M337g65wappKRkacOGCG3YEJF7W8mSxdSkSTXdeWctNWuWM+qzSZPqKl2amgVFT1KSXWFhsdq374xCQ//533MDvv7h3qVDGMmZD4zkLFzFi/vqzz97qWPHG82OckUOHozX008v1I4dUZIYvQngH++910KjR3c2OwZc6OjRBDVo8KOyspxmR4EJunWrr99/f5qRPIAH+eGHEL399nJJvA9H4fP19VGDBtfozjtzprs3a1ZTt99eQ35+pcyOBrhEamqmwsJi8xSZoaFndPKk7bL3zXlNtkv60m0jOSk584GSs/D5+vpo1qzu6tnzVrOj5JthGAoI2KW33vpLqak5I3p4YwXg36pVK6uYmP5mx4AL9e69SDNn7jE7Bkx0//3XacWKZ1WqFCN3ADMZhqHPP9+gTz4JlMT7cHiW66+vqLvuqpW7q/sdd9RU1arlzI4FXJTdnq3w8Lj/LzLPaN++nDLz2LHEy9730q+/lJymo+Q0zw8/dNWbb95ldozLSky069VXl2r+/FCzowDwcHv2vK4mTaqZHQMusGdPjG6/fQIfoqE776yldeteUNmyJcyOAhRJhmGof/9V+vbbnKWifH195HTy4gzPVqNGOf3nP7VzS89mzWqqTh0/1ntGocrMdOjgwfjcNTNzRmbG6vDhs5d9Hb2yL5MoOU1HyWmuwYPv04gR7cyOcVGbNkWoV6/fFBGRJIk3VQAu7dFHb9GiRT3NjgEXePDB2Vq27BCjhSBJaty4qjZv7sOURKCQORxOvfrqUv3yy05JvBeHtVWsWFrNm+fd4Kh+/cqs/4yrlp3t1JEjZ/MUmfv2ndHBg/HKzr70sku+vpLTZSszUXKajpLTfK+8cocmTPCsXUyzs536/PP1+vTT9byRApBvpUsXV1raII96PUPBbdhwQq1bB5gdAx6mXr1K2ratrypXZoMxoDBkZjr07LO/acGCMElMUYd3Klu2hJo2rZ5ng6NGjaqqRIliZkeDB3I6DR07lnDempnh4XHKyHBc8r6F8xpKyWk6Sk7P8NhjDTR//pMesbj/iROJevbZRdq4MWd3Pd5QASiIBQue1BNPNDI7Bq6QYRi6776p2rTpJK//OE+tWhW0ffsrqlGjvNlRAK+Wlpalxx+fr+XLD0ty9UgjwHyXeo9RooSvbr21mpo3r5k71f2226qzbEoRYhiGTp605a6Zea7U3L8/TmlpWZe8r7nvXyk5TUfJ6Tlat66rFSt6q3Rp8xb3nz8/VK+8skRJSRmSzH6BAGBFd95ZU9u2vWJ2DFyhpUsP6qGH5pgdAx6satWy+vvvV1S3rr/ZUQCvlJRk14MPzmHAAYqcS/1b9/X10U03Vf7/nd1zNjhq1qymKlYsXbgh4VKGYSgqKiVPkXludGZycuYl7+uZr42UnKaj5PQst91WTRs2vFToa16lpGTqnXf+0pQpuwr1cQF4H19fH6WmDjL1CxtcGYfDqdtvn6h9+8546BtHeAp//1Latq2vbrqpitlRAK8SG5uqzp1naufOaLOjAJZQt67feRscMdvAM8XGpv6ryPxnR/OEBPsl72et96SUnKaj5PQ8119fUSEhL6tatXKF8ng7dkTp6acX6uDBeElWexEB4IlGjGijwYPvNzsGCmjmzD3q3XuR2TFgEeXKlVBwcB81aVLd7CiAVzh1yqaOHWcoPDzO7CiApVWrVlbNm+eM+Dw36vP66yuyZnwhSUhIzx2NeW5k5r59ZxQbm3bJ+3lHD0HJaTpKTs9UtWpZbdvWV9ddV9Ftj+F0Gvruu2ANHLhGWVks8gPAderW9deJE++aHQMFkJGRrQYNftLx44ns3ot8K1WqmNavf1F33VXb7CiApR06FK+OHWfoxIkks6MAXqlChZL/v7P7Pxsc3XxzFRUrZv6eGFaVnJyhsLDYPEVmaGisTp9OvuT9znXN3tnWUXKajpLTc1WoUFKbN7+kW291/QiJ6OgUPf/8Yq1cecTl1wYASTpx4h3VrVvR7BjIpx9+CNHbby83OwYsqHhxX61a1Vtt2lxvdhTAkvbsiVGnTjMUE5NqdhSgSClduriaNq2eZ4Ojxo2rqlQpllz6t7S0LO3fH5unyNy374wiIi7/pYx3jM4sCEpO01FyerZSpYopMPB5tWxZx2XXXLbsoF588ffc4eJF74UHQGF47rmmmjbtUbNjIB+SkzN0441jFRubxu8EXJFixXy0eHFPPfjgzWZHASxly5ZT6tp1lhITL70mHQDXudR7neLFfdWw4TV5Njhq2rSGypf3/q4kIyNbBw7En7dm5tGjCZd9b8j7x3O8uORcv369vv76a23fvl1RUVFatGiRHn300dzbX3jhBU2bNi3PfTp37qzly/8ZRXH27Fm99dZbWrJkiXx9ffX4449rzJgxKl/+n4V09+zZo379+mnbtm2qWrWq3nrrLX300Uf5zknJ6fmKF/fV4sU99MADV/fBwW7P1scfr9LYsVtdlAwALq5ChZKy2QaaHQP5MGLEOg0ZEmR2DFicj480Z87j6tHjVrOjAJawevVRPfroXKWmZpkdBSjyLlXS+fhIN95Y6bwNjipXLlO4IV0kK8uhQ4fO5lkzMzQ0VocOxcvhuHSFRpl5Oe4tOU0dY5yamqqmTZvqpZdeUvfu3S94TpcuXTR16tTcn0uVyruj9jPPPKOoqCitWrVKWVlZevHFF/XKK69o9uzZknIKyk6dOqlDhw6aMGGC9u7dq5deekkVK1bUK6+84r4nh0KVne3UQw/NUUDAo3ruuaZXdI2wsFg9/fRC7dkTI4kXJwDul5ycqaCg40xh9XBxcWn6+uvNkvjdgKtjGFLPnguVnJypl1++w+w4gEdbvDhcPXr8qsxMh9lRAOjS738MQzp8OEGHDydozpx9ucdr166g//ynlpo1+2eDo1q1KnjMBkcOh1NHjybkKTL37TujAwfiLrsnh6+v5LzAKbxPNJepJWfXrl3VtWvXS55TqlQp1ahR44K37d+/X8uXL9e2bdt05513SpJ++OEHdevWTd98841q1aqlWbNmKTMzU1OmTFHJkiXVuHFj7dq1S6NHj6bk9DKGIT3//GKdOZOqDz+8pwD3MzRp0na9994KpadnS+JDLIDCM3x4kNq0ecHsGLiEkSM3KDk5UxK/G+Aaffsukc2Wofffb2l2FMAjzZixWy+++PtlR0wB8GyRkcmKjDygxYsP5B6rUqWMmjevpebNa+aO+qxXr5Jbi0+n09CJE4l51swMDT2j/fvjZLdnX/K+F+sGLlRwwnwev1psUFCQqlWrpkqVKqldu3b67LPPVKVKFUlScHCwKlasmFtwSlKHDh3k6+urkJAQPfbYYwoODlbr1q1VsuQ/08w7d+6sUaNGKSEhQZUqVTrvMTMyMpSRkZH7s81mkySVKeMrHx92FvNEhmEoK8uQwyH1779KMTHJ+vzztpd9oYyPT9Nrr/2p338/KEkqVkwqUcLHY75ZAuC9HA5DmZmGNm48Kbs9g50rPVRERJJ+/HGbJKlUKR/5+vL7AVfu3+9XPvhgpRIS0jVkyH1mxwI8yrhxf+vdd1dKkooX91Hx4uK9OWBBhmHI6cwpCJ1O4///V4qPT9fKlUfybPBbrlyJ/y88c9b3bNasuho0uEbFixfs/bFhGIqMTFZoaKzCwuIUFpYzOnP//rhLLnvh45PzenPuv//5w2uPqxmGr+xuXGLZo0vOLl26qHv37rrhhht05MgRDRo0SF27dlVwcLCKFSum6OhoVatWLc99ihcvrsqVKys6OlqSFB0drRtuuCHPOdWrV8+97UIl58iRIzV8+PDzjv/0UyOVLVvWVU8PLmYYhubOjda8eTH65pstCg8/rJdeqn3RD6R79ybr++8jFB+fpeLFfdS7d0099FBVPsACKBSZmU69+GKoUlMd+uqrBWratILZkXABP/wQocxMh5o0Ka9PP72RN7u4aoZhaObMKC1ceEaffbZBhw4dVM+eNfi3hSLPMAz9+muMZs3K+Rz34IPXXPK9PADrychw6sSJdB09mq4jR9J17FiaTpywKzU1Sxs3ntTGjSdzzy1Z0kfXXVdG9eqd+1NW111XWiVL+sowDCUmZisiwq6TJ+06cSLnfyMi0pWWduEhlsWL+6h27VKqW7f0//8po7p1S6tatZIqVozXmcKSlpamXr3cd32PLjl79uyZ+99NmjTRbbfdphtvvFFBQUFq37692x534MCBev/993N/ttlsqlOnjvr1C2PjIQsoUcJHWVmGli6Nk8Phr19/fUIlShTLvT0ry6FPP92gr77aJcPI+YamWDFp7txozZ0bbWJyAEVNZmbOm7C5cxM1cGAPk9Pgf4WFxSowcLck6eDBVPXqtdfkRPAmxYv7KDvb0Lx5MSpTpromTuxG0YkiyzAMDRy4NrfgLFnSR6tXx2vNmrMmJwPgbsWKSb6+PnI6c0Z8SpLDIWVmGjp0KE2HDqXlnuvr66P69SspPj5d8fHpF71mzmd8n/8ZlSmdOZOpM2cy9fffNrc/L1yYYbhxGKc8vOT8X/Xq1dM111yjw4cPq3379qpRo4bOnDmT55zs7GydPXs2dx3PGjVqKCYmJs85536+2FqfpUqVOm+DI0lKT3fKbmfhBSv5668j6tBhllavfk5ly5bQ0aMJ6tVroUJCIiX9s75GRoYhiTV/AJhj//54JSdnW3YHSm81fPiG3Dfb/J6AOwUE7FFKSpbmzn2CpStQ5DgcTr322lJNnrxTUs5mHpmZ515ved0F8A+n09DBg3m//Dj3/eC/1800DCk7+0KvH7ymmM+9nZql3kWdOnVK8fHxqlmzpiSpZcuWSkxM1Pbt23PPWbt2rZxOp+6+++7cc9avX6+srH/WX1i1apVuueWWC05Vh/cJDj6lO++cpMmTd+j22yecV3ACgCcYPjzI7Aj4l5CQU1q0KNzsGChCfv11vx54YLaysthJGkVHZqZDvXr9lltw+viwmQeAgjEMPtfjH6aWnCkpKdq1a5d27dolSTp27Jh27dqliIgIpaSkqH///tqyZYuOHz+uNWvW6JFHHlH9+vXVuXNnSVLDhg3VpUsX9e3bV1u3btWmTZv05ptvqmfPnqpVq5YkqVevXipZsqT69Omj0NBQzZs3T2PGjMkzHR3eb//+OPXtuyR3d1yJF0IAnmX27H1mR8D/MwxDAwaskfTP6ACgMKxYcUTt2k1TRsald3oFvEFaWpYefXSu5s8PlZQzgpP35wCAq2Fqyfn333+rWbNmatasmSTp/fffV7NmzTRkyBAVK1ZMe/bs0cMPP6ybb75Zffr0UfPmzbVhw4Y8U8lnzZqlBg0aqH379urWrZtatWqlSZMm5d7u7++vlStX6tixY2revLk++OADDRkyRK+88kqhP1+Yj4XLAXiquLg07dnDusCeYOXKIwoKOi6JD9wofBs3ntQ99/yi1NTMy58MWFRSkl1duszUX38dlsQITgCAa/gYBm/fL8dms8nf31+lSw9i4yEAgNs89NDN+uOPp82OUaQ5nYbuvHOSdu6MZlkTmKphw2sUHNxH/v6lzY4CuFRsbKq6dJmlHTuizI4CACh0dklfKikpSX5+fi6/uqXW5AQAwJutXHlEfPdorgULQrVzZ86IWv5PATPt3x+nZs0mKj4+7fInAxZx6pRNrVsHUHACANyCkhMAAA+RkeHQggVhZscosrKyHBo8OFBSztpwgNmOHUtUkybjFRWVbHYU4KodPnxWrVpNUXh4nNlRAABeirfwAAB4kFGjNpkdociaMmWnDh8+K4m14eA5oqJS1KTJeJ04kWh2FOCK7d0bo1atpujEiSSzowAAvBglJwAAHmTnziilp2eZHaPISUvL0vDh6ySxozo8T3x8um67bYIOHGAEHKxny5ZTuv/+AMXEpJodBQDg5Sg5AQDwIIYhffUVozkL29ixIYqKSpHEWpzwTDZbhu64Y5K2bYs0OwqQb2vWHFWHDtOVkGA3OwoAoAig5AQAwMP88stOsyMUKQkJ6bnLBDCKE54sLS1Ld901WY8+OldhYbFmxwEu6fffw9Wt22ylpjI7AQBQOCg5AQDwMCdP2nT8eKLZMYqMUaM2KTExZ5QRozhhBb//fkCNG49T9+7ztH8/ZSc8z4wZu/X44/OVmekwOwoAoAih5AQAwAN98kmg2RGKhMhIm8aMCTE7BnBFFi0KV6NG4/Tkk/NZrxMe46eftuq55xbL4TAYHQ8AKFSUnAAAeKDffw83O0KRMGLEetnt2WbHAK7Kr7/uV8OGP6lHj1916FC82XFQRBmGoS++2KA33/xLUs7yH4yOBwAUJkpOAAA8UHJyptasOWp2DK926FC8Jk/eYXYMwCUMQ5o/P1S33PKjevVaqCNHzpodCUWIYRj6+OPV+u9/10qi4AQAmIOSEwAAD/Xpp+vMjuDVBg8OlMPBp3B4F8OQ5szZp5tv/kG9e/+mo0cTzI4EL+dwOPXqq0v19debJUm+vhScAABzUHICAOChNm06qexsNm1wh+3bT2v+/FCzYwBu43RKM2fu1U03/aDnn1/EZmZwi8xMh5555jf9/HPOqHgfn5x/ewAAmIGSEwAAD+VwGJowYbvZMbzSoEH/TKkEvJnTaWj69D268caxevHFxTpxItHsSPASaWlZeuyxeZo3L+cLI0ZwAgDMRskJAIAH++GHrWZH8Dpr1x7TypVHJPGBHEWH02koIGC3brxxrPr0+UMREUlmR4KF2WwZ6tp1lv7885AkRnACADwDJScAAB7s4MF4xcWlmh3DaxiGoYED10hiFCeKJofD0JQpO1Wv3hj17fuHTp2ymR0JFhMXl6Z27aZp/foTucf4wggA4AkoOQEA8HDDh7MBkassXhyurVsjJfGhHEWbw2Fo8uSduv767/Xaa0sVGUnZicuLjLSpdeup2r49yuwoAACch5ITAAAPN2fOPrMjeIXsbCdrcQL/w+EwNHHidl1//Ri98cYynT6dbHYkeKjDh8+qVaup2r8/zuwoAABcECUnAAAeLj4+XTt3Mmrmak2fvlvh4TkfzhnFCeSVne3U+PF/6/rrv9dbb/2l6OgUsyPBg+zdG6P77puq48cTzY4CAMBFUXICAGABQ4YEmh3B0uz2bA0dGiSJUZzApWRlOfXjj1tVt+53eued5YqJoews6kJCTun++wMovgEAHo+SEwAAC1i16qgMhh9esXHjtuVusMJfI3B5WVlOjR0bojp1vtP776/QmTNsgFYUrV17TO3bT1dCgt3sKAAAXBYlJwAAFpCR4dDcuazNeSWSkuz64osNkhjFCRRUVpZT3323RXXqfKcPP1ypuLg0syOhkPz+e7i6dZul1NQss6MAAJAvlJwAAFjE119vNjuCJX37bbDi49MlMYoTuFKZmQ59+22wrr12tD76aJXi4yk7vdnMmXv0+OPzlZHhMDsKAAD5RskJAIBF7NoVrbS0TLNjWEpMTIpGjw6WxChOwBUyMhz6+uvNql17tAYMWK2zZ9PNjgQXGzdum3r3XiSHw+B1EwBgKZScAABYhGFIo0ZtMjuGpXz22frcqZaM4gRcJyPDoVGjNql27dH673/XKCGBstPqDMPQyJEb1K/fn5JyvhjidRMAYCWUnAAAWMiUKTvNjmAZR48maOLE7WbHALya3Z6tL77YqNq1R2vIkEAlJrJBjRUZhqEBA1Zr0KC1kig4AQDWRMkJAICFnDqVrGPHEsyOYQlDhwYpK8tpdgygSEhPz9aIEetVu/a3GjYsSElJlJ1W4XA49dprS/XVVznrPvv6+lBwAgAsiZITAACLGTx4rdkRPN6ePTGaNWuP2TGAIictLVvDh69TrVqj9emn62SzZZgdCZeQleXQs88u0qRJOyTljOB0Omk4AQDWRMkJAIDF/PHHQbMjeLxBg9bIMNhsCDBLWlqWhg4NUu3ao/XZZ+uVnEzZ6WnS07P02GPzNHfuPkmSry9T1AEA1kbJCQCAxaSkZGrVqiNmx/BYGzac0LJlhyTxgR0wW0pKpj75JFC1a4/WyJEblJKSaXYkSLLZMtSly6zc18qcEZwmhwIA4CpRcgIAYEEjRqw3O4JHMgxDAweukcQoTsCTJCdnatCgtapV61uNGrVRqamUnWaJi0tTu3bTtH79idxjfCEEAPAGlJwAAFjQ5s0nlZ3tMDuGx1m27JA2bTopiQ/tgCdKTs7UgAFrVKvWaH3zzWalpWWZHalIiYy0qXXrqdq+PcrsKAAAuBwlJwAAFuRwGPrpp21mx/AoDoeTUZyARdhsGerff5Vq1x6t0aODlZ5O2eluR46cVatWU7V/f5zZUQAAcAtKTgAALIqSM685c/Zp374zkhjFCVhFYqJdH3ywUrVrj9b332+h7HSTffvOqFWrqTp+PNHsKAAAuA0lJwAAFnXo0FnFxqaaHcMjZGRk65NPAiVJvr4M4wSsJiHBrvfeW6Frr/1OY8eGyG7PNjuS1wgJOaXWracqOjrF7CgAALgVJScAABY2bFiQ2RE8wqRJ23NHKDmdDOMErOrs2XS9885yXXvtaP3441ZlZFB2Xo21a4+pffvpSkiwmx0FAAC3o+QEAMDC5s4NNTuC6ZKTM3J3m2ctTsA7xMen6623/tK1136nceO2UXZegd9/D1e3brOUmsoSAACAooGSEwAACzt7Nl3bt582O4apvv9+i2Jj0ySxFifgbeLi0tSv35+qU+c7TZjwtzIzHWZHsoSZM/fo8cfnKyODvy8AQNFByQkAgMUNGRJkdgTTxMWl6euvN0tiFCfgzWJj0/T668tUt+53mjRpu7KyKO8uZty4berde5EcDoPXRQBAkULJCQCAxa1efVRGER3COHLkBiUnZ0piFCdQFMTEpOrVV5eqbt3v9csvOyg7/8UwDI0cuUH9+v0pKeeLH14XAQBFCSUnAAAWl5np0KxZe82OUegiIpL044/bzI4BwATR0Sl6+eUluv767xUQsEvZ2U6zI5nKMAwNGLBagwatlUTBCQAomig5AQDwAt98s9nsCIVu2LAg1ucDirjTp1P04ou/6/rrv9f06buLZNnpcDj12mtL9dVXOb8HfH19KDgBAEUSJScAAF5gz54YpaZmmh2j0ISFxWratN1mxwDgISIjk/X884t1ww1jNHPmHjkcRaPszMpy6NlnF2nSpB2SckZwOp00nACAoomSEwAAL2AY0siRG82OUWgGD17LB3kA5zl1yqbevRepXr2xmj17r1eXnenpWXrssXmaO3efJKaoAwBAyQkAgJeYOnWX2REKRUjIKS1aFG52DAAeLCIiSc8885vq1/9Bc+fu87ovRWy2DHXpMkvLlh2SRMEJAIBEyQkAgNc4fTpZR46cNTuGW+VsrrFGUs6HegC4lOPHE/X00wtVv/5YzZ8f6hVlZ1xcmtq1m6b160/kHqPgBACAkhMAAK8yePBasyO41cqVRxQUdFwSH+oB5N+xY4nq0eNX3XzzD/r11zDLlp2RkTa1bj1V27dHmR0FAACPQ8kJAIAXWbLkoNkR3MbpNDRwIKM4AVy5I0cS9OSTC9SgwY/67bf9lio7jxw5q1atpmr//jizowAA4JEoOQEA8CKpqVlavvyw2THcYsGCUO3cGS2JUZwArs6hQ2f1+OPz1ajRT/r993AZHv6ism/fGbVqNVXHjyeaHQUAAI9FyQkAgJf57LP1ZkdwuawshwYPDpQk+fLuBYCLHDgQr0cfnafGjcdpyZIDHll2bt0aqdatpyo6OsXsKAAAeDQ+JgAA4GW2bDmlrCyH2TFcasqUnTp8OGdTJafT5DAAvM7+/XF6+OG5atJkvJYtO+gxZWdg4DG1bz9dCQl2s6MAAODxXFJyJiYmuuIyAADABRwOQz/+uNXsGC6Tlpal4cPXSWItTgDuFRoaqwcfnKOmTSfor78OmVp2/vHHAXXtOkspKZmmZQAAwEoKXHKOGjVK8+bNy/35qaeeUpUqVVS7dm3t3r3bpeEAAMCVGTdum9kRXGbs2BBFReVM0/SQwVUAvNzevWfUrdts3X77RK1YcbjQy85Zs/aoe/d5ysjwrlH5AAC4U4FLzgkTJqhOnTqSpFWrVmnVqlX666+/1LVrV/Xv39/lAQEAQMEdPpygmBjrr9+WkJCuUaM2SWIUJ4DCt2dPjLp0maXmzSdp1aojhVJ2jhu3Tb17L5LDYfC6BwBAARS45IyOjs4tOZcuXaqnnnpKnTp10kcffaRt27xn1AgAAFY3bFiQ2RGu2qhRm5SYmLMWHaM4AZhl585odeo0U//5z89as+ao28rOkSM3qF+/P2UYOV/s8LoHAED+FbjkrFSpkk6ePClJWr58uTp06CBJMgxDDgfTKQAA8BTz54eaHeGqREbaNGZMiNkxACDX9u1R6tBhhu6+e7KCgo677LqGYWjAgNUaNGitJApOAACuRIFLzu7du6tXr17q2LGj4uPj1bVrV0nSzp07Vb9+fZcHBAAAV+bsWbu2bYs0O8YVGzFivez2bLNjAMB5tm07rbZtp6lFi8lav/7EVV3L4XDq9deX5S7N4evrQ8EJAMAVKHDJ+d133+nNN99Uo0aNtGrVKpUvX16SFBUVpTfeeMPlAQEAwJUbMiTQ7AhX5NCheE2evMPsGABwSSEhkbr//gDde+8v2rgxosD3z8pyqHfvRZo4cbuknBGcTicNJwAAV8LHKOytAi3IZrPJ399fpUsPkt1e0uw4AADkW8mSxWS3/1c+Ftu9okePXy0/3R5A0dOqVV2NGtVB99xT57Lnpqdn6cknF2jZskOSmKIOACgK7JK+VFJSkvz8/Fx+9XyP5HzjjTeUkvLPLq1z5sxRampq7s+JiYnq1q2ba9MBAICrkpnp0IwZu82OUSDbt5+m4ARgSRs3Rujee6fo/vunasuWUxc9z2bLUNeusyg4AQBwoXyXnBMnTlRaWlruz6+++qpiYmJyf87IyNCKFStcmw4AAFy1b78NNjtCgfx74w0AsKL16yPUsuUvatt2mrZuzbs2clxcmtq3n6516/5Zy5OCEwCAq5fvkvN/Z7Uzyx0AAGvYu/eMkpMzzI6RL2vXHtPKlUck8aEfgPUFBR3X3XdPVvv20/X336cVGWnT/fcH6O+/T5sdDQAAr1PgjYcAAIC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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -407,10 +407,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:20.998034Z",
-     "iopub.status.busy": "2024-09-13T08:23:20.997659Z",
-     "iopub.status.idle": "2024-09-13T08:23:21.279388Z",
-     "shell.execute_reply": "2024-09-13T08:23:21.278820Z"
+     "iopub.execute_input": "2025-02-02T04:22:14.991264Z",
+     "iopub.status.busy": "2025-02-02T04:22:14.990922Z",
+     "iopub.status.idle": "2025-02-02T04:22:15.215921Z",
+     "shell.execute_reply": "2025-02-02T04:22:15.215390Z"
     },
     "tags": [
      "remove-input"
@@ -419,7 +419,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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IHZKaAIBANTZ2e7atDRtaPNsWAAAAACA8SGoCAALl5fLzigqWnwMAAABAISKpCQAIlJdJzaqqds+2BQAAAAAID5KaAIBAudPPvVBb2+HZtgAAAAAA4UFSEwAQKC8rNRsavNsWAAAAACA8SGoCAALjOI6nSc3mZu+GDgEAAAAAwoOkJgAgMB0dccXjKc+219YW82xbAAAAAIDwIKkJAAiMl1WaktTVlfB0ewAAAACAcCCpCQAIjNdJzXg86en2AAAAAADhQFITABAYLyefS5LjSN3dVGsCAAAAQKEhqQkACIzXlZqSVFfX4fk2AQAAAAB2I6kJAAiMm9QsKvJum6WlTd5tDAAAAAAQCiQ1AQCB8aNSs7S02fNtAgAAAADsRlITABAYN6npON5ts6ys2buNAQAAAABCgaQmACAwflRqVla2eb5NAAAAAIDdSGoCAALT2Njt+Tarq9s93yYAAAAAwG4kNQEAgWlo6PR8m/X13m8TAAAAAGA3kpoAgMD4sfzcj20CAAAAAOxGUhMAEBg/EpDNzd4vaQcAAAAA2I2kJgAgEI7j+JLU7Ojo8XybAAAAAAC7kdQEAASiqyuhWCzp+Xa7u73fJgAAAADAbiQ1AQCB8Kv3ZSKRkuM4vmwbAAAAAGAnkpoAgED4Mfnc1d7OEnQAAAAAKCQkNQEAgfBzSnllZZtv2wYAAAAA2IekJgAgEH4mNUtKmnzbNgAAAADAPiQ1AYTStde+r+9//yXF4wyJCQs3qVlU5P22y8qavd8oAAAAAMBaJDUBhI7jOHrggTkaP36dXn55melwkCE/KzXLy1t82zYAAAAAwD4kNQGETltbj7q7E5KkmTPLDUeDTLlJTT8GlVdUtHq/UQAAAACAtUhqAgid2tqO3v9fv55eimHR0OBfpeaW7wkAAAAAQPSR1AQQOjU17b3/v2kTU6/Dws/l5/X1nb5tGwAAAABgH5KaAEJny6o8KvTCw8+kZnNzt2/bBgAAAADYh6QmgNCpqdmcyGxtjRmMBNnwM6nZ0sL7AAAAAAAKCUlNAKGz5fLzeDylZDJlMBpkys+kZkdH3LdtAwAAAADsQ1ITQOhsu+Scydfh4GdSs6cn6du2AQAAAAD2IakJIHS2XH4uSYsWVRmKBJnq6oqrqyvh2/ZTKYeKXQAAAAAoICQ1AYTOtpWay5bVGYoEmfKzSjPIfQAAAAAA7EBSE0DobFupWVxcbygSZCqIhOPGjS2+7wMAAAAAYAeSmgBCZ8tBQZJUVtZsJhBkLIik5vr1jb7vAwAAAABgB5KaAEIlFkuopSW21deqqtoMRYNMBZHU3LCBSk0AAAAAKBQkNQGEyrb9NCWpvp5eirZzk5pFRf7to6Ki1b+NAwAAAACsQlITQKhs209Tkjo6egxEgmwEUalZVdU+8IMAAAAAAJFAUhNAqPRVqZlMOorFEgaiQaYaGtJJTcfxbx99vTcAAAAAANFEUhNAqLhDgrZdxrx2LUNibBZEpaabOAUAAAAARB9JTQCh0l813sKFVQFHgmwEkdRsbu72fR8AAAAAADuQ1AQQKm5PzW2XMa9YUWsgGmQqiKRmW1vM930AAAAAAOxAUhNAqPQ1KEhi+bntgkhqdnXRVxUAAAAACgVJTQCh0t/y840bWwKOBNkIIqkZjyd93wcAAAAAwA4kNQGEijsoKNOvww5BDPFxHKm7m2pNAAAAACgEJDUBhEp/y88bGxkSY6vu7oQ6O+OB7Kuuru/3BwAAAAAgWkhqAgiNZDKl+vrOPr/X1RVM0gzZa2ryv0rTVVraFNi+ACAbQd3cAQAAKBQkNQGERkNDl1Ipp8/vOY7U0kK1po2C6KfpKikhqQnAPv/61xTts88dmjKlzHQoAAAAkUFSE0Bo9DckyLV8eW1AkSAbQSY1N2xgYBQA+0yZUqZ4PKXbbptmOhQAAIDIIKkJIDQGGga0eHF1QJEgG0EmNSsr2wLbFwBkyr0pV1XFUDsAAACvkNQEEBr9DQlyrVxZF1AkyIab1Cwq8n9f1dUkDADYxx1i1twc3E0eAACAqCOpCSA03EqX/pJj9FO0U0NDcBfx/Q2SAgBTEolU7+dga2uP4WgAAACig6QmgNAYaPl5eXlrQJEgG0EuPw9yXwCQiYaGTjn/nXHX1cUEdAAAAK+Q1AQQGm6lptP3APQBBwnBDDfR2N/r5qXm5m7/dwIAWdjy2JRIpAxGAgAAEC0kNQGExkA9NVtbYwFFgmwEWT3Z0cHSTgB2qavb3BbDcaTOTqo1AQAAvEBSE0BoDJTUjMWScoIoB0RWgkxqdncnA9sXAGRi21UEVVVthiIBAACIFpKaAEIjk+XlTL+2T5BJzUQiRWIbgFW2PXatW9doKBIAAIBoIakJIBQcxxlwUJAkLVpUHUA0yEaQ088lqb2dJegA7FFXt3VSs6SkyVAkAAAA0UJSE0AotLbGFIsNvLR46VKSmrYJeiJ5ZSVLOwHYY9tKzY0bWwxFAgAAEC0kNQGEQqaTzYuLG3yOBNno6UkGXjlJFRQAm9TWdm7174qKVkORAAAARAtJTQChMNCQIFdJSbO/gSArTU3BVmlKUllZc+D7BID+bHtTLtPjGQAAAHaMpCaAUMi0UpOpsnYJeum5xNJOAHbZtqfmtv8GAABAbkhqAggFd0hQUdGOH8fFol1MJDU3bSKxDcAe296Ua27uNhQJAABAtJDUBBAKmS7Xa2+P+xwJshH05HNpcwIcAEyLxRJqaYlt9bVt/w0AAIDckNQEEApupYvj7PhxiURK8fjAU9IRDLdSc6AKWy/V13cO/CAACEBfn0edndx8AwAA8AJJTQChkM1gBaZf28PE8nOWdgKwRV/9oHt6uPEGAADgBZKaAEIhmyXFixZV+xgJsmEiqcnSTgC26Cup6TjpZekAAADIj/GkZmVlpS666CLtv//+2m233XTMMcdo/vz5vd93HEc33XSTDj74YO2222469dRTtXbt2q220djYqAsvvFB77bWX9tlnH/36179Wezs91YAoyXT6uSQtW1brYyTIhpvUHKhtgJc6OljaCcAOdXXp5efbtuDI5pgGAACAvhlNajY1NenEE0/UkCFDNG7cOK1cuVL33nuv9t13397H3HXXXXrwwQf12GOPac6cOdpjjz10+umnq7t78/LCCy+8UCtWrNDEiRM1ZswYffjhh/rNb35j4lcC4JNslp+vXdvgYyTIholKTZZ2ArBFf8nL9etpkwIAAJCvwSZ3fuedd+qwww7TM8880/u1ww8/vPf/HcfR/fffrxtuuEE//vGPJUnPP/+8DjzwQL399ts6//zztWrVKo0fP17z5s3TscceK0l66KGHdMYZZ+iee+7RIYccEuwvBcBz3d0JtbZmvqR448YWH6NBNkwkNVMpR8lkSjvtZHwxAoAC139Ss1Hf+tb/CzYYAACAiDGa1Bw1apROP/10nXvuuZo6daoOPfRQ/f73v9dll10mSSotLVV1dbVOPfXU3p/Ze++9ddxxx2nWrFk6//zzNWvWLO2zzz69CU1JOvXUUzVo0CDNmTNHZ5111nb7jcViisU2J0haW1slSfF4XPE4yxaD5D7fPO/BC9NzX1m5OUm5665FKupnlHY87iiRcFRT0x6K38tPtry+7uTfnXcu0k47+TsCPZVyFIul17nX1rbpox/d3df99ceW5x7e47U1K4zPf3V1myRpp52KNGRIkbq7U3IcacOGplD9HmF87pEZXluzeP7N4bmPLl5bs4J+3o0mNUtKSjRs2DBdddVVuv766zVv3jz96U9/0s4776xLLrlE1dXpYR8HHnjgVj934IEH9n6vurpaBxxwwFbfHzx4sPbbb7/ex2zr9ttv180337zd1ydPnqzddzdzEVzoJk6caDqEghWG537t2nRibP/9h+ipp47u93Hvv9+ghx8u1377pTR27NigwrOa6de3srJRknTLLUfo85/fw9d9dXUl9fOfL5MkTZ06SbvttpOv+xuI6ece/uG1NStMz/+KFWWSpMsv/7i++9399fe/r1Fxcad6eipCeZwK03OP7PDamsXzbw7PfXTx2prR2dkZ6P6MJjVTqZSOPfZY3XbbbZKkr3zlK1q+fLkee+wxXXLJJb7t97rrrtNVV13V++/W1lYddthh+va3v63999/ft/1ie/F4XBMnTtR3v/tdDRkyxHQ4BSVMz/3YseskrVFjY1w///nSfh+XTKar9JYsadcZZ5wRUHR2suX17epaKUn65z/XadAgfys1nS2mERUVHaEzzjjS1/31x5bnHt7jtTUrjM//rbc+K6lVTzxRoaefrlQslpIkLVu2k/797/Acp8L43CMzvLZm8fybw3MfXby2ZjU0BDvfwmhS8+CDD9ZRRx211deOPPJIvfnmm5Kkgw46SJJUU1Ojgw8+uPcxNTU1+vKXv9z7mNrarScdJxIJNTY29v78tnbZZRftsssu2319yJAhvOkN4bk3JwzPfUPD5sFgXV2pAR+fTDqKx6Xdd7f79wqCydc3Hk+qra1Hkv67LDy4EegbN7YZf1+H4W8LueG1NStMz787/bynZ+vPwNraztD8DlsK03OP7PDamsXzbw7PfXTx2poR9HNudIrCiSeeqOLi4q2+tmbNGn3yk5+UlB4adNBBB2nSpEm9329tbdWcOXN0/PHHS5KOP/54NTc3a8GCBb2P+eCDD5RKpXTccccF8FsA8Ft/gxZ2ZOXK2oEfBF81N3cP/CCfVFS0Gts3ALjq6vo+fjU1mft8BAAAiAqjSc2//OUvmj17tm677TatW7dOL7/8sh5//HFdccUVkqSioiL9+c9/1n/+8x+NGjVKy5Yt08UXX6xDDjlEP/nJTySlKzu/973v6bLLLtPcuXM1Y8YM/eEPf9D555/P5HMgImpq2iVJThaFfgsXVvkUDTJlYvK5q6qqzdi+AUCSOjp61NHRd7P8lhaSmgAAAPkyuvz8f//3fzVy5Ehdd911uuWWW3T44Yfr/vvv14UXXtj7mL/97W/q6OjQb37zGzU3N+ukk07S+PHjteuuu/Y+5qWXXtIf/vAHfec739GgQYN0zjnn6MEHHzTxKwHwQU1NLpWa9T5Egmw0NJhLatbWBtugGgC25S4970t/yU4AAABkzmhSU5J+8IMf6Ac/+EG/3y8qKtItt9yiW265pd/H7Lfffnr55Zf9CA+ABXJZfr5uXaMPkSAbJis1TSZUAUDqf+m5JMViyQAjAQAAiCajy88BIBO5VGqWl9NT0TQ3qVnk79DzPpns5wkA0o5vyKVSjpLJgQffAQAAoH8kNQFYz+2pmY1cqjvhLZOVmm1tMWP7BgBp83Govxs79fW0yQAAAMgHSU0AVksmUzld+DU3s/zYNJNJza6uhLF9A4A08M21srLmYAIBAACIKJKaAKxWX9+Z1dRzVyyWlJPLD8IzblLTxMsQj9OvDoBZ7qCg/j4D6f0MAACQH5KaAKyW6zJyx2Fpn2kmh/U4jhSLUa0JwBwqNQEAAPxFUhOA1XIZEuRasqTGw0iQLZPLzyX6qgIwa6DPoIoKBtoBAADkg6QmAKvlMiTItXRptYeRIFumk5qlpU1G9w+gsLnLz/uzaVNbQJEAAABEE0lNAFYbaHrsjqxcWe9xNMiG6aRmSQlJTQDmDFSpOVDSEwAAADtGUhOA1fJZfl5a2uxdIMhaY6PZC/YNG1qM7h9A4XIcZ8Ckpsm+wwAAAFFAUhOA1dykZi4TtCsr6VdmSjKZUnNzzGgMlZUs7QRgRmtrTD09yR0+prm5O6BoAAAAoomkJgCr5TPshaV95thwsV5dnXs/VgDIRybHn46OngAiAQAAiC6SmgCsls+goLY2s5WChcyGZZUktQGYkskNue7uRACRAAAARBdJTQBWy6dSMx5PKZlMeRgNMmV6SJAkNTWZjwFAYcrk2JVMOkqlcuitAgAAAEkkNQFYzHGcvAYFSdLGjQyLMcGGpKYNS+ABFKa6uvSxq6hox4/jcwoAACB3JDUBWKulZeBBCwNZuLDKo2iQDTepOdAFvZ/oVwfAlExXGWzc2OxvIAAAABFGUhOAtfJZeu5atqzWg0iQLRsqNbu780uIA0Cu3OOXM8Dq8nXrmgKIBgAAIJpIagKwVj5Dglxr1zZ4EAmyZUNSM5FIyRkoowAAPsh0UFlpKUlNAACAXJHUBGCtfPtpSlJpaXP+gSBrDQ3pC3rTOcX2dpagAwhepisNystbfY4EAAAgukhqArCWe1GYT1/G6ur8qz2RvcZGO4ZfVFa2mQ4BQAHKNKm5aROfUQAAALkiqQnAWl4sP6+vz2wJILxlw/JzSSopYWkngOBlmtT0onc0AABAoSKpCcBamQ5a2JHOzrhH0SAbtiQ1y8qaTYcAoMCkUk7GN9QaGuz4rAQAAAgjkppAjmprO3TiiU/r8ccXmA4lsrzoqZlMOuruTngQDbJhS1Jz48YW0yEAKDBNTV1KJjO7G9fcbEerDgAAgDAiqQnk6K23VmnmzHJdeeV406FElhdJTUkqLq73ZDvIXGOjHcv+6VcHIGjZLClva4v5GAkAAEC0kdQEcrRgwSZJUnd3Qu3tXJT4wateY4sWVXmyHWQmmUypqcmO6iMv+rICQDbq6jK/qcNKAgAAgNyR1ARyNH/+5kTZggUkzfzgVUJq+fI6T7aDzLS0xPLqg+olBkUBCFo2N+Ti8ZQcWz4wAQAAQoakJpCD7u6Eli+v7f333LmVBqOJpq6uuNraejzZ1rp1jZ5sB5mxpZ+mRL86AMFzk5pFRZk9vr3dm2MdAABAoSGpCeRg6dIaJRKp3n8vW1ZjMJpo8mrpuSSVlzMsJkg2JTVbWmgNASBYdXXZHb8qK+n9CwAAkAuSmkAO3H6arnXrmgxFEl1eDQmSpOpq77aFgdmU1OzoiJsOAUCBcW/KZbqqfN26Bh+jAQAAiC6SmkAO5s/fOqlZXt5qKJLo8rJSs7nZniRbIXCTmpkuvfRTT0/SdAgACkxtbXa9fEtLm/0JBAAAIOJIagI52HYwUEMDw0i85g4J8iIx1tXFdNkg2VSpmUo5SiZTAz8QADyS7U25DRtokQIAAJALkppAlrq64lsNCUp/LcH0Uo95ufzccajWDJJtSX6bkqwAoi/bnpqbNtFTEwAAIBckNYEsLV1ao2Ry+wQmS9C9lW1PsoEsXcowp6C4SURb8vwbN1IFBSA42VZquisTAAAAkB2SmkCWtu2n6Zo9uyLgSKLNy0pNSVq8mKRmUBobu02HsJX16xtNhwCgQCQSKTU0ZFcdXl9vV3U7AABAWJDUBLLk9tPcttfjthPRkR8vBwVJ0qpVdZ5uD/2zbbk3/eoABCWX9htNTXbdCAIA5CeZTOmyy0bprrtmmA4FiLzBpgMAwsat1Nx2aS1JM295vRxv/fomT7eH/tmW1KyooDUEgGDkckOutTXmQyQAAFPmzq3Uk08ukiSdffbndcQR+xuOCIguKjWBLHR2xrVyZd/Jy9JSqsG85PXy88pKBjEExbakZlUVrz2AYOSS1OzqSvgQCQDAlBUrNl8v3nEH1ZqAn0hqAllYsqS6zyFBEokTL6V7knnbY8zr5ezon23Tz2tr7YoHQHTlcqyJx5M+RAIAMGXFitre/x8zZo3BSIDoI6kJZMHtp9mXlhaWj3mlvr7T88nZLO8LRirlWNcfLtuhHQCQq7q69E2Ubftu74jjSF1dcZ8iAgAEbctKzZqaDs/bagHYjKQmkAW3n2ZfFyuJREqxGEvIvODHgb+nJ6lUyuNMKbbT2hqz7nlubrYryQogunJdFVBdzQUvAETFtu3K7r57pqFIgOgjqQlkwa3U7K+KcOnSmgCjiS6/lopv2kSLAL/Z1k9TktraqNIFEAz3+JXtaoN16xp9iAYAELTm5u7tevm/+eZKQ9EA0UdSE8hQR0dPv0OCXHPmVAYUTbS5Q4KyWb6XicWL+28fAG/YmNRkCAeAoLjLz7NVUtLkcSQAABP6ul4sK2tRezs32QE/kNQEMrRkSc2Ay2oXL64OKJpo86tSc8kSKmn9ZmNSkyEcAIKS6/Fr48YWjyMBAJiw5ZCgLT3wwJyAIwEKA0lNIENuP80dWbu2IYBIos+vZtrFxbw+frMxqek4ot8tgEDkmtSsqGj1OBIAgAnukKBtV5y9+OIyA9EA0UdSE8jQjiafu8rLuSjxgrv83OsJ6GVlzd5uENtpaMh+8m8Q/Kr+BYAt1dXlOiiIzygAiAJ3+fm21zHFxfWsHgJ8QFITyFAmlZokTrzBoKDwsrFSU6JfHQD/xWIJtbTk1jOtvp7zBwCIArdSc1uOIz3xxMKAowGij6QmkIH29h6tXl0/4OM6O+NyvC4vLEBupabX6utzG+CAzLlJTdv+DEpLSWoC8FeuQ4Ikqamp28NIAAAmNDd377CI4umnFwUYDVAYSGoCGVi8uHrAIUFSOpGT69IzbOZXpWZ7e48v28VmjY12XpgzhAOA3/I5duVa4QkAsEd/Q4Jc6WvKVEDRAIWBpCaQgQULBl567pozp9LHSKLPcRzfkprJpKOeHnrZ+MnW5ecVFbQeAOCvfG5qdnZy0w0AthTG1W/9LT13JZOOXn99ZUDRAIWBpCaQgfnz00OCMhl+kknvTfSvubnb18QjvRX9ZWtSs7q63XQIACLOvSGXy6C0nh4qdwBgS5dc8rY+9rG7VFkZnkGs7pCgHR0HHn10XkDRAIWBpCaQAbdSM5MbhgPdocOO+T1sKZuqW2TPnX5um3x63QFAJvI5fqVSDlNxAeC/mpq69NJLy1Rf36VbbplqOpyMudeBO7pmZFUf4C2SmsAA2tpiGQ0Jcq1fTyVgPvwaEuRavnzHvW6QH1srNZua7IwLQHTke/OEntwAkPb++yW98wzClAQcqKemJMViSb3/fkkA0QCFgaQmMIDFi6uzmuRcVUXvvnzU1Pi7THjt2kZft1/IHMexNqnZ3GznACMA0eFWaubaBq6kpNm7YAAgxMaNW9f7/6WlzeYCyUJTU5eqqjK7jrnvvlk+RwMUDpKawACy7ZHZ1ETyJB/59CTLBFOw/dPW1qNk0s6m7h0dDOEA4K9826esX89NNwBwHEfjx29Oara2xpRI2N+eI5sWZFOnbvAxEqCweJLUbG5u9mIzgJUWLMh8SJAk9fQklUjQ8D9Xfi8/Z2CMf2yt0pSk7m77T4YBhFu+Sc2ysmZvAgGAEFu2rHa7isdZsyoMRZM5d0hQJjo64lq4sMrHaIDCkXVS884779Srr77a++/zzjtP+++/vw499FAtWbLE0+AwsLvvnqE99rhNF174VlZ9H5E5t1Izm+Vkq1czLChX+S7fG4jNibews/m5TSRScvx6UwGA8u+pWVERngm/AOCXcePWbve1sWO3/5pt3H6amRbC3HXXDB+jAQpH1knNxx57TIcddpgkaeLEiZo4caLGjRun73//+7rmmms8DxA79vjjC9XZGdfLLy/TkUc+oh/9aAR3fTzU2hrTmjUNWf/c7NnhaWhtG78rNbu64r5uv5DZOvnc1d7OEnQA/sm3UjPTXmwAEGXjx6/f7muzZ9tfqZnJ5PMtTZiw/e8JIHtZJzWrq6t7k5pjxozReeedp9NOO01/+9vfNG/ePM8DRP+qqtq0bt3W/ZdGj16j//mfx3XKKc9p2jR6deRr0aKqnCoGFy+u9j6YAuH3oKBUKj3RHt6zuVJTkiorGeIFwB8dHT3q7MzvphnTzwEUura2mKZP37jd11evzr7IJGjZ9NSU0nMYSkqafIoGKBxZJzX33XdflZeXS5LGjx+vU089VVK6oW8ySc+yIE2btv0Hvmvy5DKdfPKz+t//fULjx69j2WWO3H6a2aIVQO7yrXTJhLs8BN5yk5p+DXnKFyeOAPyS79JzSWpsZNAggMI2aVJpn7MJbL/p09jYlVPf/jvvnO5DNEBhyTqpefbZZ+uCCy7Qd7/7XTU0NOj73/++JGnRokU64ogjPA8Q/fvww3Ql5o4SCPPnb9L3v/+Sjj76Ub3xxkqlUiQ3s+H208w2ScOE7dz5vfxckhYvrvF9H4XI9krN0lKSmgD84cUNuZYWkpoACps79Xzba69k0rH6PC6bIUFbGjVqjceRAIUn66Tmfffdpz/84Q866qijNHHiRH3kIx+RJFVVVen3v/+95wGif26lZiZFmKtW1evcc1/Xpz/9gJ57brHicapqM+FWamZb6BpEYi6KOjvjgfQ9zHZ5CDLjJjVtLQwvL2cIBwB/eJHUpO8vgELmOE5vUrOvc8nRo+1NAOa6Cqy6ut36KlTAdlknNYcMGaKrr75aDzzwgL7yla/0fv0vf/mL/u///s/T4NC/pqYuLVuWfbVZWVmLfvnLd3TYYffp4YfnMjRlB1paunMaEiRxYZKrIJaeS1JJSePAD0LWbF86uWkTPTUB+MO9KM2n/UZPDzecARSu1avrtWFD/6vdpk4tCy6YLLkFE7kcA+6+e6bH0QCFJeOk5u9//3u1t2/uEzFixAh1dGxOQDQ3N+uMM87wNjr0a8aM8ryqoWpqOvTHP47TIYfcqzvumK7WVganbGvRotyH/aRSDsvIcuD3kCAXFXv+sH35eVDvLwCFx4ubcsmko2Ry+15yAFAI3CrN/ixdam9P/Gwnn2/pjTdWehwNUFgyTmoOHz5cnZ2bm6BffvnlqqnZXCkYi8X03nvveRsd+pVJP81MNDfHdN11k3TIIffqhhs+UH19/o3uoyLXfpquefMqPYymMARVqRnUfgpNQ4Pdnx98vgHwi3tcybf9hu03hwDAL+PHr5fU/7VXRYW9RQn5DCEtLW1WezsFRkCuMk5qbjs9m2naZrlJTa9eho6OuG69dZoOPXSorrxyvCor7T1oBCXXyeeuefM2eRRJ4XB7kfo9Pbu5mSpaP9h+Md7UxOsOwB+1td7cNNmwodmT7QBAmHR2xnuXl/d3fdvdnbAy+dfQ0Jn3PIWHHprrUTRA4cm6pybM6+joyTvh1p+enqQefHCOPvnJ+/XrX7+j9esLt/fgggXppGSuieNly+xdImGroJYHx2JJbsz4wPakJm02APjFq0EP69bZO90XAPwyZUqZYrGB+wq/9976AKLJTq6Tz7f04ovLPIgEKEwkNUNo9uwKJRL+9lxKJh09/fRifeYzD+mXv3zb9/3ZpqWlW2vX5pfQLeSEcK68Wr6Xzb7gDcdxrE9qdnYyGA2AP7w6ppSWktQEUHjcfpoDrdaaOLEkgGiy4/bTzMeqVXWKxxkWB+RicDYPvummm7T77rtLknp6enTrrbdq7733lqSt+m3CX9OmbZSU/tD3O/njONJzzy3Rpz+9r2688Zv+7swiCxfmXwlbUcGk5Wzlu3QjG4sXV+v0048IbH9R19ERVzxu982PTCoAAFMcx9E557ymGTPK9aMffU7nn3+0vvnN/6fBg7n/HAZeJTVt7hkHAH4ZNy6d1Bzo2tadeWATt59mPtfmjiM9/fQiXX75sR5GBhSGjM+UTz75ZBUXF2vRokVatGiRTjjhBJWUlPT+u7i4WCeffLKfseK/vO6nmYnHHpsf3M4skO+QIMn+pbg2CrJ6cunSmoEfhIyF4f2eSjFZGPZ6++3VGjlytWprO/Tkkwt16qkv6GMfu1u//e0YTZlSxnvXYo7jqK7Om5v7VVXcEAVQWNata9S6dZmtcFu/3r5q9nwmn2/pyScXehANUHgyrtScMmWKj2EgUz09Sc2eXRH4fjdtaldZWZP+3//bN/B9m+D2LM3n4NTdnVAq5WjQIJ+n3kRIkJWaq1fXB7avQmD75HNXY2OXPvaxPUyHAWwlkUjpH//4QNLWlR7Nzd0aPnyBhg9foP32203nn/8F/exnR+ukkz7BscUira0x9fR4Uwnu1cAhAAiL995bl/FjW1q6rbu+8qKnppReRZZKpTRoECs0gGxk/Bdz9dVXa/Xq1X7GggwsWLBJXV0JI/v+5z+nGNmvCV4tbaA3VnaCGhQkSSUlzYHtqxCEoVJTkjZubDEdArCdF15YolWr0jda+ruZ1tjYpUcfnadvfvNZHXjgPfrTn8ZpxoyNSqUYemaal6sMGhrC8VkKAF5xl55nskLOcTYPc7WBF5PPXYmEo7feWuXJtoBCknFS85133tHRRx+tE044QU8//bQ6OhiyYYK79NyEd94pNrbvIDU1dXm2tMFEVW1YJRKpQC/mNm1iiZ+XwpLUZIAXbNPdnei9aZhpy5P6+k499NBcnXTSMzrkkHv1l7+M1+zZFXKC7EuDXl4tPZfS1bkAUCi6uxOaPLlMUuYr5MaMWetfQFnyYkjQlh5+eJ6n2wMKQcZJzbVr12ry5Mn67Gc/qyuvvFIHHXSQfvWrX2nmzJl+xodtuEOCTGhpiWnu3Epj+w+KF0OC/NhW1NXVBXujJOj9RZ2b1MynD20QNmygUhN2GTZsnsrL08NhcslJ1tR06P775+j445/SIYcM1V//+p7mzaskwRkgLys129tjnm0LAGw3ffpGdXbGs/qZmTPNXQ9vyx0S5BUKYoDsZdWw4eSTT9azzz6r6upqPfDAA1q7dq1OOukkHXnkkbrnnntUU8PgDT8lkylNn272Q/zmm6cY3X8Q3H6aXiRn3OWEGFiQ/TQlqb29J9D9RV1YKjWZLAybtLbGdOut0yR5c8yprm7X0KGz9bWvPamPf/w+/e1vE7VgwSYSnD5zk5pevIbd3d705gSAMBg3Ll11mc3np03XV26lplc39WOxpD74oNSbjQEFIqcutHvssYd+9atfadq0aVqzZo3OPvts3X777frEJz7hdXzYwvLltWppMXsH/4MPSiN/ceT20/Ti1ywra85/IwUiyMnnkhSPp5RIME3YK25S0/aPByYLwyb33juzt+2G1387mza16e67Z+rYY5/QJz95v66/fpIWL66O/DHcBC+PX4lEitcIQMEYP369pOyOgUEXQuyIOyTIy4/toUNnebcxoADkNVqro6ND06ZN09SpU9XU1KRPfepTXsWFPpjsp+nq7k5q1Kho99Z0KzW9UF0d3OCbsHOHBAW5fLmsjEFOXgnLcAsmC8MWtbUduvfe9IWL35975eWtuv326frKV4brG994hqSZx9x2Jl49raZvYANAEDZubMlpcngikbKmN77XPTUlaepU89f8QJjklNScPn26fvWrX+nggw/Wn/70J332s5/VtGnTtGoV07r89OGH6aXnpnvW3XHHDLMB+KixsUslJd4lulpbuTDJVNCVmpK0aFF14PuMqrAsPw9L8hXRd+utH6qjI91HLMgc44wZ5Zo4sSS4HRYAr2+WVFTQ+xdA9I0fvy7nnx092nyRTX19py/XL+3tPVq8mLkMQKYyTmpWVVXpjjvu0Oc//3mdfPLJWr16tYYOHaqqqio9/fTTOvHEE/2Ms+A5jqNp0zb89//NxjJvXqUSiWj2fPJ6sE8y6aizk96NmXCXkgT5/l62zNvm3oUsLElNJgvDBmVlzRo2bL6x/T/55EJj+44iry9q165t9HR7AGAjN6mZS8HOlCll3gaTA6+HBG3prrsYxgxkanCmDzzssMO0//776xe/+IV+/etf68gjj/QzLmxj7dpGa/qHJJOOHntsgf7wh6+ZDsVzbj/NoiLvkmuLF1frhBPoNzsQE+/vNWsaAt9nVIUlqdnWRvU0zPvnP6coHjfX03faNHsmx0aBu/zcK6WltEYBEG3xeFLvv59eNZDLNdfixeYHFPux9Nz13nvrfds2EDUZV2q+9tprqqys1D333ENC0wC3StMWjz46z3QIvnD7aXpZLThnTqV3G4swE8vPN2xgiZ9XwpLU7OpKmA4BBW758lq98MISozFUV7crFuNvwSteH782bmz1dHsAYJuZM8vV1pb7araNG82fw7v9QP1oDdfY2MUNLiBDGSc1v/71r+vaa69Va+v2J1otLS265pprVFNj/o5JVNnST9O1enW92tujt6zardT00tKl/F1kwh0UFCQmYXvDcZzQJDXj8Wi2zkB4/OMfHxhvIyNJL7+8zHQIkZBKOaqr87anpi0DMADAL/ksPZekzs648ZtzbqWmX8f0u+6K7hwLwEsZJzWHDh2q1tZW7bXXXtt9b++991ZbW5uGDh3qaXDYzJ18bsOFkJSO4/bbp5sOw1MNDZ0qK2v2fLv0xsqMieXnYUnE2a6rK6FYLBzJQseR8ZNgFK6ZM8s1apT54QaS9Mory02HEAmNjV1Kpbw9OTOxcgEAgjR+fHp5dT7XtpMmmR1652dPTUl65x07zhcA22Wc1Bw/frwuvvjifr9/8cUXa8yYMZ4Eha2Vl7f4kmzL1/PPm10+5zV36bnXystZRjYQx3GMXMS5k4eRn4YGb6uU/EbCACY4jqNrr31fkh2rLubO9X5lQiHyup+mlJ6oCwBRVVXVpsWLq/PeTj7T0/NVV9fheZX+tqqq2lVfzzkrMJCMk5qlpaX6xCf6H3by8Y9/XGVlZV7EhG3Y2tC/oqJV5eXm+5l4ZcGCzUOCvMTFycCamrqVSAQ/NCOVctTVRWIzX2GreC0poUcRgjdu3Lre47kNqy6am7tDd0PCRn7cJGlu7vZ8mwBgC6+G4Ji8Oef20/TbvffOCmQ/QJhlnNTcbbfddpi0LCsr02677eZFTNiGOyTIhsqObd1881TTIXhm/nzvhwRJUldXXI4NV7AWM1k5t3p1vbF9R0XYkpo0XkfQUilH1103SZJdx/KnnlpoOoTQ8+P4lc/wDACwXb79NF3r1plr8eXn5PMtvfbaikD2A4RZxknN4447Ti+88EK/33/++ef1ta99zZOgsDV3SJCNebG33lplOgTPuJWaXnMcBtIMxMSQINfChf60HSgkYUtq2jAxE4XllVeW9w6Ns+lYPnLkatMhhJ67/NDLZDUrCABEVSKR0oQJ+ffTlNLnn6YKR9x+mn7fqCwpaVZnJ8cEYEcyTmpeffXVeuaZZ3T11VdvNeW8pqZGf/3rX/Xss8/q6quv9iXIQlZf3xlYeXsumpq6tWhR+JNC9fWd2rDBv0TH7NkVvm07CkwMCXLZ/PcVFm5S06YKtB2pqOAmA4LT05PUjTdOliQNyvisKxhLltQM/CDskB+VmibasQBAEObNq1RTkzctNhxHWr7c32E9/fF78vmWHn54jv87AUIs49Prb3/723rkkUf08MMP65BDDtG+++6r/fbbT4cccogeeeQRPfTQQzrllFP8jLUgTZ9uZz/NLd188xTTIeTNryrNzdsPf+LXT+5FoYmkGNPp8xe2Ss3qanOVwSg8Tz65sLePa8qyXFVXV4Ies3lyj19eXtg6jtTRwRJ0ANHj1dJz16hRZiaEB7X8XJKef35pYPsCwmhwNg++/PLL9YMf/ECvvfaa1q1bJ8dx9NnPflY//elP9fGPf9yvGAvahx+m+2kOGmTfxZBrwoQS0yHkbf78zUOC/LjjFuSBL4xMLj+P0rArUxoa0klNm5bV7ojf0yoBV0dHj265Jd172q/jS74ee2y+7rrru6bDCC2/Pk82bWrTZz6zvy/bBgBTxo1LJzW9Oh7OmFHuzYayUFfXEegg2FWr6pVIJDV48E6B7RMIk6ySmpJ06KGH6i9/+YsfsaAP7qRUWxOaUrrSY+zYtTrjjM+YDiVnbiWlXxecpaXN/mw4IvyodMmUyaXvURG2Ss2mpnDFi/B64IE5vZ8xNiY0JWns2LUkNfPg16C7desaSWoCiJS6uo7eQhKvmCgcCXqfqZSjZ55ZrMsu+59A9wuEhWXdnbCltrZYaIaY3H77NNMh5MXrA+y2GBS0YyYTi83N3vT1KWRhS2rymiMIDQ2duvPOGZLs7jdbXNxgOoRQ8yupyc1QAFEzcWKJ5zf4TFxjuUOCgvTEEwsD3ycQFiQ1LTZrVoVSKUtLO7Yxe3aFkkmLy0l3oLa2Q+Xlrb7ugyTKjplManZ3J4xNToyKsCU16VWHINx55wy1tsYk2VulKaWH0syZwzC7XPmV1NywodmX7QKAKe7Scy9v9MXjqUCXgkubKzWDvGG5aFG1UjYv3QQMIqlpMbefps0VHq5EwtFTTy0yHUZO/B4SJKUPuD09Sd/3E1Z+XRRmwnFYjpyvsCU1u7v5W4S/Kipa9dBDc02HkbEnnlhgOoRQSiRSvn3+VVaywgMYSDKZ0vPPL9GYMWtMh4IBpFKO3nvP236arqBf/yAnn7sSiZRGjjQzFAmwHUlNi7lJTZsrPLYUpgu4Lbn9NP1OHptYqhAWJgcFSdKSJbw2+QhbUjORSFGdC1/dcstUdXcnTIeRsUmTykyHEEp+VgeZPi4Cttu0qU2nn/6iLrnkbf3whyM0duxa0yFhBxYtqvJtsNqkSaW+bLc/K1eaGQD7yCPhvNYG/JZ1UvOmm27S5MmT1d3Nclo/dXcnNHdupekwsrJiRa06O8O3rNPtp+l3joPlfX3r6OhRR0fcaAxLllQb3X/YudPPw6S9PXyfVQiH4uJ6Pf10uFYubNjQzLK2HPi5yiDo5ZRAmIwdu1Zf+tJjWyWzfvazN2gvYzF36bkfFi0KbgZFbW2wk8+3NGsW15JAX7JOas6aNUs//OEPtc8+++gb3/iGbrjhBr3//vvq6grfRa3N5s2rVCwWriWSjiPddddM02Fkza3U9NvixSTO+mJy6blr1Sozd1yjoKsrHqqKNBdLO+GXG2+crGQyXJXAjiONHs3yzWzV1fl3/GpspHgA2FYsltBVV72nM898ebvEUnt7j372szcMRYaBjB/vX1Jzw4YW37a9LZMr77q7E5o6tczY/gFbZZ3UnDhxopqbmzVp0iSdccYZmj9/vs4++2zts88+Oumkk/yIsSBNm7bRdAg5efbZxaZDyEpNTbsqKvwdEuRiwmzfTA4JcpWUNJsOIbTCtvTcVVLSZDoERND8+Zv0+usrTYeRk+efX2I6hNDx86acO2QKQNratQ064YSndd99syX13Tbq3XfX6p136Dtom6amLl+rDNvbexSPB1MMZGJI0JaGDp1lZseAxXLqqTl48GCdeOKJOuecc3TWWWfp9NNPVyqV0urVq72Or2C5/TTDZsOGFlVXh6cCKqgqTUm+T1gPKxsqNSsreW1yFdakZmkpSU147/rrJ0kKx4C/bU2fXm46hNBxj19+vN5dXWbbsgA2eeGFJfrqVx/XwoWb++D31zbqwgvfpMWMZd5/v0SplL8rGKZODeba2fSMhMmTy4zuH7BR1knNxx9/XBdccIEOPfRQnXDCCRo/frxOOukkzZ8/X3V1LOH0QiKR0owZ4b24uPnmqaZDyJjbTzOIC1Abknc2cochmEwC8NrkLqxJTW4ywGuTJpVo4sQSSeEZ8Lel2toOEmlZ8vPY0dMTrhZEgB/a2mK6+OKRuvjit7dKVO7oM7ajI65zznktgOiQKXfpuZ/n+uPGBTMoauXKeknmjvNtbT1atqzGzM4BS2Wd1Pztb3+rSZMm6corr1RZWZlGjhypK6+8Ul/60pdUFMbSBAstWVId6juMYVp651ZqBnFgCvNr6icblp+3tbHML1dhTWpu2hSeinLYz3EcXXddeKs0XS+8sNR0CKHiTvL14xzCcdL9A4FCtWDBJn31q4/3fi4NGpT5h+uECev1xhvhuR6JMsdxNH78+v/+v3/7CWLAruM4xis1JenOO2eYDqHgdXXF1dDAQD9bZJ3UfOutt3ThhRfqlVde0cc+9jGdcMIJuv766zVhwgR1dvLCeiGsS89dDQ1dWr7c/Ad+JtxKzSA4jvjw64Nb6WKysqmnJ+X7spiocpOaYUvkuBXCgBfeemuV5s1LH0/CWKXpeu21FaZDCBW/q/xtuOkHBC2VcjR06Cwdf/xTWreucauvZ+Pii0eqpYWBW6YtW1YbyI3kIGYX1NZ2qKHB/M18P4cuITPf/OazOvjge/Xgg3PkhPnELyKyTmr+5Cc/0dChQ7Vw4UJVV1fr+uuvV2VlpX7wgx9ov/328yPGguMOCQpbkmBL//znZNMhDKiqqi3waq0g7iKGjS0XbRUVwU1OjBIbTu5yse3UVCBXiURK//jHB5LCfdyW1JuYRWb8TmpumdABCkFtbYd++MMR+utfJygeT+W1ra6uBMvQLRBUAq6hocv35JI7JMi0hoYulZU1mw6jYHV09GjevE2Kx1O68srx+tGPRrDqz7CcBgU1NDTorbfe0o033qjrr79eL774ovbaay99//vf9zq+guM4Tm9SM8xJ//feW286hAEFOSTIFWRlaFjYUjHnNp9HdsK6/LypieoNeOO55xb3VoiE+bgtpSdu19XZcaMpDNzl534pKWGgGQrHpEkl+tKXHtPYseneiF7cJJo0qVSvvLI8/w0hZ0ElNVMpR2vX+nsjyF16bsMNzLvvZgm6KdvecBwzZq0+//lH6HVqUNZJzWOOOUYHHnigLr/8clVWVuqyyy7TokWLVF9fr5EjR/oRY0FZvbo+EhVEHR1xvf++3YnNBQuCGxLkCsuy/CDZMqRn2TI77r6GjZvUDFsyp7WVO6rIX1dXXP/6V3o4ng0XOV54/PGFpkMIDb+PXxs2NPu6fcAG8XhS118/Sd/97guqrt58o9ur84pLL31Hzc3hvAEbdm1tMU2fvjGw/Y0aVezr9leutOda4e23/f1d0b++kuebNrXpq199XE88scBARMhpUNDixYtVV1enN998U3/84x/1xS9+0Y/YClLY+2lu6dZbp5kOYYfmzw9uSJBr/XqqLrZly/Lz4uJ60yGEUlgrNTs7mfKM/D366DxVVLRKCl9ivz/vvLPadAihEIslfL854r63gKgqK2vWySc/q9tvny7H8efmUHd3Qj/+8avebxgD+uCD0rzbCGTD7+tod/m5Dcf7TZvamNVgyNq16dU5235eJRIp/eY3Y3Teea9znRGwrJOaV1xxhb7whS+op6dHxcXFSiSYzOilDz8Mfz9N14wZ5UqlgjuQZcut1AxSZSUTl7cUjyetSYrRmyY3trx+2YrFkqZDQMi1tHTrttumS4rGMdu1bBkrCjLh99JzSaqutuOmH+CH119foS9/+THNnl0hKf056ley6MMPN+iFF5b4s3H0y116HtQx0s8VcenJ5/ZUakrS0KGzTIdQkNxKzf4+r15/faWOOuoRCmYClHVSs6urS7/+9a+1++676+ijj9bGjekk3B//+EfdcccdngdYSBzH6b3DZMMdoHzF4yk9//xS02H0adOmNlVVBd/LsakpnAkgvwRxUZgpE++HKAhrUjOVcpRM2nvTBfa7556ZoW2/sCPd3QmtWeP/FNmwC6J1Sn09SU1ET2dnXL/5zWidd94bamnZXO3s9+foZZeNVmOjPeedUec4jsaNW/ff/w9mn34OgK2p6bDunPfVV1eYDqEgZXKOtGFDi445ZpheesnOXEjUZJ3UvPbaa7VkyRJNmTJFu+66a+/XTz31VL36KqX9+diwoSVyS40eeGC26RD6ZKJKU0pXh5FI2cyWIUES07BzFdbp51J4E7Iwr6amXUOHpo9vUarSdD322HzTIVgviKRmYyMDzRAty5bV6H//9wk98US6d2+Qn5+xWFI//OErwe2wwBUXN2jDhpZA9xmLJdXS4s/npjskyCbr1zexzNmATAdSxeMpXXTRSF1yyduKxVjd7Kesk5pvv/22Hn74YZ100kkq2uJIdPTRR2v9ersHw9hu2rTo9NN0LVlSo+5u+/6I3SnkJi5Gt52YVshsGRIkSR0dPaZDCKUwJwY3bgz2ZBvRcfvtM3ovJKJUpekKalptmLnHLz/PI/y6OAeC5jiOhg2bp6997cmthq0E/fk5c2a5nn56UbA7LVCmjiNjx671Zbvu+9a2G5mPPDLXdAgFpbU1lvX16/PPL9ExxwxTSQmzNfySdVKzrq5OBxxwwHZf7+jo2CrJiey5S8+j9DQ6jnTvvTNNh7GdBQuCHxLkmjWrIvidWsodEmTDez6ZdLiLlqXu7kSo7xBzcoFcVFfH9MQT0b4ozrQKoZDV1fl/U66jI7yfr4CrsbFL55zzmn7/+7FWFDr87nfv0tohAO7S86DP8SdOLPFlu7b103Q9/zy9YoPkDgnK/ucaddRRj+itt1Z6HBGkHJKaxx57rN59993ef7uJzCeffFLHH3+8d5EVIHdIUNSqPp56yq6LP8dxeis1TVi0qMrYvm1j0/JzKbgqWsdxNHLkqq2qFcIo7D1iqZpGLkaMqA50mqsJiURK06dHb/WIl4JYadDTw0AzhJvjODr99Bc1cuRqSdKgrK88vdfTk9SZZ44wHUakdXbGNXVqmaTgr2v9us6yafL5llatqrd6MG/U5NNzPBZL6pxzXtdvfztG8TjHdy9lfWi57bbbdP311+t3v/udEomEHnjgAZ122ml65plndOutt/oRY0GoqWmPbGP+0tLmQCoaMrVpU1tvhaAJq1czCc3lXhTacoKwcGEwCeeXXlqms89+Td/61rNybPnlcxDmpeeSNGbMGtMhIGSWLq3Vhx8WRoXvk0/adUPSNrW16T7Mfn6Ep1KOEgkuVhFe8+Zt2qqQwJbcy9y5lRo+nN7Bfpk6tUyxmJmkTUlJs+fbTE8+t6+nppReaTZhgj/Vqdieu5Ilnwrk4cMX6CtfGa7yctpgeSXrpOZJJ52kxYsXK5FI6JhjjtGECRN0wAEHaNasWfqf//kfP2IsCNOmbTQdgq/+/e8PTYfQy2SVpqTAm2bbzGRyuS/Ll/t/wtLZGdd1102SlJ7+bvr9mI+wJzVnz660YikcwuOOO2bIcaTBgy3omeGzyZPLTIdgtaBu1rJMFmHmTv61oc3Qtv74x3GqrbVrxVBUmFp6LqV7Hno9lLW6ul1NTfb2OKZPbHDcpGa+NzRXrKjT5z//iG89YAtNTosAPv3pT+uJJ57Q3LlztXLlSr344os65phjvI6toLhDgmw86Hvh1VdXmA6hl9tP09RzbduSa5NsGhQkBdNH7t57Z6qiorX33y++uNT3ffolzJPPpXQV1O23TzcdBkLErea2YQml38rLWzy/MIySoI5fpaXNgewH8FoikdIrr6TP/21clBKPp/T9779sOoxIcocEmXrdZ8/2dn6B7e2iojhs2Fa59tTsS2dnXGee+bKuuuo9VmXkqQBOy8Mhqv00XbW1HSoutmPZtVsZZ+q5bmtjyrbLtkpNv6dhb9rUpjvumLHV18JcDeVWaob5Zszjjy8wHQJCIpVyVF6eviER5vd8phxHevvt1abDsFZQSc316+n9i3CaNKnEupvX21q4sEoPPzzHdBiRsn59o/Fhc+++6231m9tP09Zjf3V1ByuPAuLHe/u++2bruOOeUFVVm+fbLhQZJzUHDRqknXbaaYf/DR482M9YI6u5uVtLllSbDsN3//znFNMhyHGc3kpNU5JJR+3tMaMx2MK2qlW/4/nHPz7Yblp4mHvphn35uZReUrR4McO7MLCqqjbF4ykNGmTvhY3XXnghvJXkfqur6wxkP2VltKxBOL300jJJ9n9e/uUvE0gmeMit0jRp1qxyT7fn9tO0ufjohReYgu63hoZO3659Fi6s1uc+97A++ID+qLnIOAs5cuTIfr83a9YsPfjgg0zeytHMmeVWf0h6xeu7ZrmoqGi14q7x/PlV+ta3/p/pMIxKpZzALgoz1djoX7+chQur9Nxzi7f7eiyW1MaNzfrEJ/bxbd9+iUJSU5KuvXaSxo+/yHQYsJzbD/mjH91ZbW0JSdE/cM+c6e2FYVR0dPRsd4PKLwwSQBh1dPTorbdWSbI7ESSll8l/73svafHiy1VkewY2BMaPXy8pncw29dqvXu1twYBbqWmzESOW67LLmG/iJ78rkNvaevSd77ygf/zjG7rllm9r0CA+jzKVcaXmj3/84+3++/znP69nn31W99xzj84991wVFxf7GWtkffhhtPtputrbe3p/V1NMV2m65s2rNB2CcU1NXdb1D+nq8uci1XEcXXXVe3Kcvv/Ow1oN5SY1bb9gGcikSaVKJMxM6UR4lJU1S5IOOGBns4EEqK6uUx0dtEzZVpA3R6uq7FrRAGRi1KhidXQEk/j3wtKlNbrvvtmmwwi9WCyhDz4olWT23NDLQW7pyef2JzUXLAjv4NGw8LKf5o7ceus0nXTS04ENJIyCnHpqbtq0SZdddpmOOeYYJRIJLV68WM8995w++clPeh1fQXAnn4c9MZCJf/97qtH9u/00TSeQly6tMRuABWyomN2W40gtLd5Xa7799mpNnbqhdx/bcqdEhk1UKjUTiZQeemiu6TBgOTep+bGPDTEbSMCee44lbdsK8vjFRQ3CKCxLz7f0t79NVGVl68APRL+mTdsYWBX7jiSTjkpLmzzZVnV1u5qb7Z187mpt7aGNgs/cSs0gPtdmzarQV74yXE4hJIg8kFVSs6WlRX//+991xBFHaMWKFZo0aZJGjx6tL3zhC37FF3ldXfGCqtr78MMNRv843UpN058P69bR+N+2IUGu5ctrPd1eT09S11wzUVL/B0Gv9xmUqCQ1JenBBxkUgB3bsKFZUmFVakrS66+vMB2CdYJsnRKlz1kUhvr6Tr33XnoJsunz7Wwkk45OP/1Fkgh5cPtp2pDMHj16jSfbCUOVpmv4cIZf+slNagb1EVFZ2WZFj9owyDipedddd+lTn/qUxowZoxEjRmjmzJn6xje+4WdsBWHOnErF43YtwfVTT09KI0YsM7Jvx3F6KzVNq6jgTpptQ4Jcixd7O7Tr4Yfnav369N3i/g6CLS0xtbWFb3hUQ0N0LrbLylqYMowdcge2FFpS05a2LTZxKzWDuHAPQ4UQsKXXXlthXXuhTK1YUae7755pOozQchMwNuSFvWp55g4JsiFRO5B33qEVoJ9MDHcdNYrXNBMZJzWvvfZadXd364gjjtBzzz2ns88+u8//kJ1C6ae5paFDzfSsKS9vVX29HYNpGhrsiMOkIC8Ks7FqVb1n26qv79Qtt6RbLgz0e772WviqoaJWQXTtte+bDgEWK8SemlK6cX11NTfithTk8vP2dvNLOYFshHHp+Zauv36SNm5sNh1G6JSXt1hV1ehVqy/3d7IhUTuQlSvtef6jxnGcwHpqbmn27IrA9xlGGSc1L774Yp133nnab7/9tPfee/f7H7LjJjXD8EHplUWLqhWLJQLfry1VmpLU1ZUo+OUtti4/97Ja7+abp6ilJV2BOdDL/fbbqz3bb1AaG6OVnB89ek3B/12ib47jaOPGwqzUlKTHH2dJ25bcPpdBfFyYOF9CdhKJlN56a5VaW8O34sJrJSVNmjmzXFJ4r21Yhp4b25bJlpd70x/VpkTtQHp6klq0iNUVfqit7VBbW/CDE93VftixwZk+8Nlnn/UxjMIUjyc1a1bhZd9TKUcPPjhH11xzYqD7dafCFRXZcaJVXt6qT3yicG8EuMvPbXgttlRR4c1J0KpVdRo2bH7Gj58/P1wnIT09ychVEMViST377GJdeulXTIcCy9TUdKi7O51c2n//wktqjhq1Rjfd9C3TYVijtja4GzrJpKNUytGgQSEteysAt98+TTfdNEWnn/5pjR9/kelwjHr5ZTMtpry2enWDbr11mm644WTToYTG+PHpPqq2XGd1dyfU2RnX7rvnPtzPcZzQVT8+9th8DR/+Q9NhRI7bTzNobW096ulJaOedM07bFaScpp/74Y477lBRUZH+/Oc/936tu7tbV1xxhfbff3995CMf0TnnnKOamq1LyTdu3KgzzzxTu+++uw444ABdc801SiTCcVd74cIqKybEmfD44wsD36ebNLLhQCtJs2aVmw7BqCAvCrPhVQXp1VdPVDKZ+ZutpqZdyWR4elA1NUVr6bnrrrvopYXtuUvPi4qkwYMLL7kU1mFmfgly+bkU3c/bKIjHk3r00fQNzAkT1ofqOO41x3F6l55HwT//OUUlJVRJZSIeT+r990sk2XOdJUnvvZdf9WhVVTgmn2/p/fdLTYcQSSaWnrvcGwbonxVJzXnz5mn48OH64he/uNXX//KXv2j06NF6/fXXNXXqVG3atGmrvp3JZFJnnnmmenp6NHPmTD333HN69tlnddNNNwX9K+Rk2rSNpkMwZt26xkD78TmO01upaYuFC8NVmec1WwcFebF8bMKE9Ro7dm1WP+M46Z8Li6j103StXl2v6mo735swx518HtYecfmKxZK9wxIQfFJzw4aWQPeHzL399ureY4bjSG+8sdJwROYsWlSt1au960tuWirFMvRMzZpVYWX7hXzPq8N43Csra1YqVbg3V/ziDgkycR747rtrgt9pyBhPara3t+vCCy/UE088oX333bf36y0tLXrqqac0dOhQnXLKKfqf//kfPfPMM5o5c6Zmz04PmpkwYYJWrlypF198UV/+8pf1/e9/X//+97/1yCOPqKcn+J4H2SrEIUFb+s9/PgxsXxs2tFg3qTlsyxm8FvRFYaZisWReJ7CJREp//esESdn/bb/6aniGBdn29+Sl66+fZDoEWMat1NxppwI9YEsaPpy+mi63p2ZQvOz1DG+5VZquZ55ZbCYQC7z00lJJ0bquWbeuUf/611TTYVjP7adp22s/b15+BS1uP03bfq8dSaUcjRlDEsxr7vJzE/c45sypDH6nIWN8cf4VV1yhM888U6eeeqr+85//9H59wYIFisfjOvXUU3u/9vnPf16f+MQnNGvWLH3961/XrFmzdMwxx+jAAw/sfczpp5+u3/3ud1qxYoW+8pW++6LFYjHFYpvvJrW2pnvoxeNxxePBLAdPpRxNn56u1Nx556KC6pUUj6eUSEivvLJc//nPN/77NX+f9zlz0ku9i4qkXXc1m8vv6UkpmUwnWoN6v/XF3bepGNxKzV12seP97ziOurvTR6qKimYddNBHctrOE08s7F2qucsuRSrK4EzI/ZuYObPcs9fD79e3tjY9DXnQIGmXXYzfH/NEIuEoHnf0xhsrNXz4GTlvx/TfFrxXUpI+mR3837Om3XaLxns+E+4xa+LE9cbf0zb8bTmO03tTzu/jV3d3So4jlZY28NxbaOXKOk2ZUiYp/dmQSEhz5lSE7jny4rVNJlMaMWK5JGnIkKJI3AByzwn+858Pdf75R+qII/bzZT9R+NtyVycNHlxkRYsW97UrLW3a4fM60HO/bFm67Z0tv9dAYrGUUinp2WcX6/vf/7TpcIzy+u/KrdTceefgPt/c93FJyY7fxzYKOl6jSc1XXnlFCxcu1Lx587b7XnV1tXbeeWfts88+W339wAMPVHV1de9jtkxout93v9ef22+/XTfffPN2X588ebJ23333bH+NnJSVdampqVu77jpIL754TCg+KL1SWdmtK65YrZqadr3++ljts88QTZw40dd9vv56+k7dqafuryuuOMzXfQ1k9Og6PfVUpT7ykZjGjh1rNBZJvj/3fenqSqqzM9379tlnv6Dddtsp8Bi2lUw6Ou+8Jf+9eH8/p2EgnZ1JXX/9KknS//3fofrBDz6W0c/Nm9eiW28tVVdXh+fvCb9e3ylT0gf3L395T910UzROnNraEvrVr1aora1HDz30hj796fyOByb+tuCP+fPTS9h+9auPS5KefvoLJsMJ1Pz5rfrPf0rU1NRmxTFLMvu31d6eUDyeXtr3wgvHaOed/UtwX3VVsUpKutTWtkFjx9rR24/Ptc0efzw97PO44/bWpZceot/+dpXa2mJ6/fXR2mMP8+c12crntV2ypE1VVe36yEd20jPPHK0hQ8J/4yeZdHTDDeu0alWHfvnLl3X99Z/ydX9h/dtqbIxryZIaFRVJTz55tPbe23jNlFav7tC1165VUVEyo+NWf8/9zJnpZO0f//gJnXzyvn0+xiYjR9bquec2qby8yprjtWle/F05jqM1a9KtNe6773M69NBd895mJsrKuvTnPxcrmUxozJh3rSgCylRnZ7CzM4x96pSXl+vKK6/UxIkTteuuwbwxXNddd52uuuqq3n+3trbqsMMO07e//W3tv//+gcSQnopcrJ6elH7xi+g01c5UUZGUSkkTJ0rnnit997vf1ZAhuU+nG8jDD4+QJE2Z0qjp081eGLjDYxYsaNMZZ+ReDZaveDyuiRMn+v7c9yXdeD39vv/Vr+xZcu22oKmtPUC/+MUJWf/89ddPVktLQkVF0osvbtJLL2XWN9Vd7l5REdNhhx2rY445IOt9b8vv13fNmjmSyrV0abt+/vOlnm/flFQq/Vq89FKrZs/+aU7bMPm3BX9ce+1wSdLzz1fqu9/dX7/61XJ1dRVGzyr386mmpkcf+cjROvnkTxqLxYa/rfQStHRF2iWXLPd1X7FY+j22evXOuukmc+cLkh3PvU3a23v0i188KElatKhVS5e2qahISialJUv20H/+c4rhCDPnxWv71ltjJKXfsxdf7O/fRZDcc4K5c1v1jW98R3vuuYvn+wj739bzzy+VlD6X/+1v7egp6x63GhriOuigr+irXz24z8ft6Ll3HEeXXJIuVHjkkY0aNsz+Aa/u+3X+/FZ985unao89si/QiAov/64qK9sUiy2RJP31r8UZrcLzgvs+7uxMyXE+ozPO+Gwg+/VCQ0Owg5WMJTUXLFig2tpaffWrX+39WjKZ1IcffqiHH35Y7733nnp6etTc3LxVtWZNTY0OOuggSdJBBx2kuXPnbrVddzq6+5i+7LLLLtpll+0PSkOGDAnsYDJzZro3guOoYC6M+jJmzDqde+6Rvj736SFB6eRSPJ4u47ZBT09KqVSRdtnF7B3NIN/3rsbGze0fbHz/Fxc3Zf2clJY26cEH059HjqP/LmXP/r02YsQKffWrh2b9c/3x6/VtaUn3LU4mHSUSdvxNeWnRomp1dia1996533Qz8bcF7zmO0zuopacn/V7v6kpZ+dnlt2eeWarvfOcI02EY/dtqagr++FVd3WnNZwmfa2mvvbZEbW3p42D6c2HzcXDUqLW6887TDUWWu1xf266uuEaOXC3JrvNsr7377nr94hdf8m37Yf3bmjhx87RtG4+LY8eW6LjjPrHDx/T13FdWtqqlJf15H4vldk5v0ksvrdAVV3zNdBjGefF3VVq6eVhfrtd3+Ro3br3OPvvowPebq6A/y4ytDfjOd76jZcuWafHixb3/HXvssbrwwgt7/3/IkCGaNGnzwIbi4mJt3LhRxx9/vCTp+OOP17Jly1Rbu3ky2cSJE7XXXnvpqKOOCvx3ypTjOL1Dggp9oF5LS0xVVf5Oyysra1ZTU7ev+8jV0qU1pkMwoqbGziFBrtLS5qx/5tprJ6mnJ5n3vidNKh34QRZwp59H9TPMcaR//nOK6TBggfr6TnV1pdtlhGlYgB+mTt1gOgTjTAy5a2gIdhkXdsxxnN4BQX19JqxZ01hQ04fHjFnTm+CNsnHj1pkOwTrJZKp3writ54OzZuVWYekOCQqrMA0ftZ07JMikuXMZFrQjxpKae+65p77whS9s9d8ee+yh/fffX1/4whe0995769e//rWuuuoqTZ48WQsWLNCll16q448/Xl//+tclSaeddpqOOuoo/eIXv9CSJUv03nvv6YYbbtAVV1zRZyWmLUpKmlRV1W46DGt8+KG/y8Hnz89v8p2fZs+uMB2CEe5Foa0Jgk2b2rJ6/IwZG/Xaa96cPKxeXe/JdvwW5ennrhdeiM6yeuTOnXwuKbAlR7aqrGxVIlE4yZq+1NWlE4xBvhWam+28MVuoZs4s770p3VciJz19eG3AUZnz0kvpdkJR/3h0V31hs3nzNllbOOJauTK35KT7c2F9Xy9cyPvVK2vXppdSm3wvrF9vR19tW1ndxfm+++7TD37wA51zzjk6+eSTddBBB+mtt97q/f5OO+2kMWPGaKeddtLxxx+viy66SBdffLFuueUWg1EPzK3SRNr77zdo1Kg16uz0Z0qWexIyyMJ3+5IlhVqpaXdS371ozUQq5egvf3lPkjcHu66uhKqr7X5+pM2VmlHW2NjF5zW2SmoWOseR3njDjp5pppio1CyEKrgw2VGVpuvJJxcGFI1ZjY1dvZOvba3U88qGDc2mQ7DOuHHp197mxF+uq8NWrEivBA3r+7qjI66NG1sGfiAG5FZqmnwvdHTE1dUVrgnoQbIqzTNlyhTdf//9vf/edddd9cgjj6ixsVEdHR166623tuuV+clPflJjx45VZ2en6urqdM8992jwYPNT13bkww83SrL7ABCkurq4fvrTN7Tffnfqhz98WU8/vUh1dd5dNLiVmjauBFqzJtgmurZwLwptPVFob8/8AnLEiGWaNy/9HvPq93nxRfsrBAshqSlJ//jHB6ZDgGFuP02O2Wlh+Hzyk4njV3d3IridYYdqazv0+uvplRk7eg/MmLExoIjMeuONlYrHLTzB9kEsliyYc59MTZ5cJsne83lJSiRSWa/AksK//FySHntsvukQIsGG5eeSem8gYXtWJTULxbRp9NN07bJLkc4886MqKkqfLIwZs1a//vUoHXjgPTr++Kd0zz0ze0u+c7HlkCAbVVS0mg7BCNt7aiYSqYyWWHZ2xnXttem+v4MGeZfxePdd+w9ahXJiP3NmOQmFAudWanLMTivUtikuE5WaiUSqdwoqzHrqqYUZJfEaG7utX5XiBfcmR6Hc9HnrrVWmQ7BGPJ60usXXlsaMWZPV4x3HiURSM9vfG9tLJlNat46kpu1IagZs06Y2eiJsYdCgIl122ce1yy5bnw05TvrC6ZprJuqzn31Yn/nMg7ruuvc1e3aFUqnMT+xLSpqs7kVl4uLIBrYnNaX0e2cg9947szcxnc37ciBLllR7ti2/NDYWxuCKVMrR7bdPNx0GDHIrNZHW0NCltjZ/B/zZLJv2JF5iCbp5yWRKjz22QFJmSbxHH53nc0RmbdjQrGnT0hWphZJzd4fiQFq2rLZ3iJ7tJk/ObghnZWWbWlvDf5wLS59+m5WXt3oyCNYLc+eG4yaCCSQ1A+ZWaWJrAw1fWLeuSXfcMUPHH/+UDjjgbl122WiNHbt2wAoqm6s0pXSlXyFWX4QhmTtQg+1Nm9p0xx0zJHlfodDU1K3ubnv7psTjSbW2Fs4F9uOPLzAdAgyip+b2nnlmsekQjDF1/CrUlR02GTt2bW+PukxO3UaOXO1zRGaNGLHcdAiBY/jKZmGq2l+8OLsZBrkOF7JNPJ4K1etko3xWjHotk4KbQkVSM2Du0IlCWabhh4aGLj355EKdeebL2nffO3X22a/qhReW9Lkc1l0WYeOQICl9Uuxl/9CwCMOSrOXLa3f4/Rtu+KB3uJUfeek33rB3iZPN1c9+qK5u1+LFXMgUIsdxSGr2oZCHBZlKatqy/K2QZTIgaEurVtVH+sZ1oUw931J5OTcXXG6yLAyvf7YDc9whQWH43QbCjfn8uP00bXgvdHbG1dlZOEUl2bA01RNd7pCgCJ/jBKq7O6GRI1fr4ovf1sc+dre+8Y1ndP/9s1Vamr6T4VZq2jgkyFVod9B6epJqarI/KbajIU4LF1bp2WcX+7p/m/s2NTQURj/NLbm9U1FYmpq6sxocVigWLbK/RYYfUilH9fVmlp+75zUwY/36Ro0fv05S5ufwiURKkyZlt+w1LJYurem9+VtI1zQ9PUlVV9t/Yz4I7vVLGF7/zs64YrHMl8q7/TTD8LsN5IMPovkZFBSbKjWlcMxdMIGkZoAaG7sGrP5C7lIpR9Onb9Rf/vKePvWpB3XUUY+EImE4f35hVYCFpTK1v7u6juPor3+dIMfx967d3LmV/m08T4UyJGhLkyaVKpGwo6cOgkOVZt/a23tUUVF4vUYbG7s87Z+cjWwrjeCtXKcIR3X68EsvLTUdgjFvvlm4lequhoZOayZCZ2rSpJKMHxuFIUGujRtbMhp+ir6tWZN+n9uS4GZYUN9IagZo+vSNpkMoKKtW1fcuD7ZZlA6cmQjDkCBJqqrq+078O+8Ua8qUMkn+HuA2bWpTytIS40JMaiYSKT300FzTYSBgJDX79/jjC02HEDiT/aA3bWoztu9C19UV19NPL87pZ6dOjV4v/VTK0csvF14/TdfEiZknx6LK5hvv/XErrQfiOE5kempK6WuVkSPtXf1lO9sqNefNY1hQX0hqBsgdEmRDT4ZCYvvzXWhNf8MwJEjqe7p3T09S11wzUZL/7yvHsfdiyE1q2v635bUHH5xjOgQEbMOGZkmF917PxOjRxaZDCJzJlQZhuSEYRa+9tiLnm3n19Z1qaorWjcAPP9xQ0IOrliwpzPYbWwpTP01XpsmgqEw+39Lzzy8xHUIoJRIplZY2mw5jK7Si6RtJzQDRT9MM25/vQqu+cIcE2X4i1Nm5fe+dRx6Z2zusIYj3la2TRQuxUlOSyspatH59uJZbIT9UavZv5cp60yEEzuRNOVO9PJH9gKBtRW0Jurv03PbzOL9UVBTWeXtfZs9OV2rafo21pUyXy7tDgqJk1iz727HZqKys2bql+52dCXV00Ot9WyQ1A9Le3qMFCygXxvYKbZJ0WKpNUilnq/YFDQ2duuWWDyUFdyL/4Yd2Vmo2NBTuxfW1175vOgQEqKws3ccwTBduQenpSWrp0sKqWHKTmiaSOWEYsBdF8+dv6l1qm+vnwOuvR6cHYyyW0BtvpJeyFurnYiKR0saNzabDMCaVcjRnTviSZI2NXXIyeNO6bcGilLRvaOhSSwvHkGzZtvTcNXr0GtMhWIekZkBmz65QMlmgR3/sUE9P0rq7QH5yLwrDcDK8cuXmu7X/+teU3gR0ULHb2ppg8uQySeF4Db02evSajE6KEQ3u8nP0bfjwBaZDCJTJSs22tmgthwyLYcPmScovwRGlIaFjx64tuJvxfXnzzcLtUVhcXK+WlvB9HjlOZn+LbqVm1E71nnpqkekQQmfNmnRS07YE97hxDAvaFknNgLgVV7b9UcAOq1dHpyH1QMJSqSlJixalq5BWr67XsGHBLx+Lx1MqLrZrieeGDc2aMaPcdBjGxGJJPfccvYkKBcvPd6zQBmbU1aWr1E1c7HZ1bd8SBf5qaurqHYiTz2sej6ciMyz0pZeWSeJ6ZtKkUtMhGOP20wyjMWMGrnCL6gDXN9+MTsV4UNyWBbYluOfPZ/XvtkhqBmTaNPppon+F1OskLIOCpM0nNldfPcFYpbVtzb1fecXOPp9BuuuuGaZDQACam7tDWY0SpPXrm5RKFd5KAxPi8aSxfReqZ59drO5ub5LJbsVnmDU3d/cmhQr9embJkhrTIRgTxiFBLvd6vD9Rm3y+pcWLC/c9m6tM+7AGzbbhRTYgqRmAWCwR6rta8F8hnRy5g4LCYP36Rk2cuF7vvmuuzN+2Sih3eFEYT2a9smpVvaqrw/M+Rm5Yej6wVMopqIolk0lNx5G6uuIDPxCeSKWc3hUaXhzvPvigLP+NGPbmmysVi5Fcl6SqqsIdFhTGIUGugaowKypa1dYWzSEsnZ1xa9ta2crWnppdXQla0myDpGYAFiyo8uxOL6Jp9Wq7lhj7KUzLzzdsaNFVV02QZC6JZ9Md45Ur63oT8GE8mfXS9ddPMh0CfMbS88w8/fRi0yEExl1+bkpVFTdTgjJpUomnSw+rq9vV3h7uZAlLzzdLJh1rEx5+amuLhbpH7EDJ6KguPXc9+mj4K8aDEosltGFDi+kw+jV6dLHpEKxCUjMAtk4whj1s/tD0UirlqK4uPEnNVavqe0/eTCXxOjri1kwbHzFimekQrBGlabbom5vU5AJ+xwrpHMd0+5R16woviWLKo496V6XpeuKJ8A7Wqqxs1ZQpZZK4qekqxGFB8+dvUioV3jdAPJ5SfX3/59TukKCoHvcZMJO5kpImq9/r48atMx2CVUhqBqCQTviRG9MXSkFpbOwy1psyF+5UetMnN251hEmO4/QuPYfU3t6jd95ZbToM+KhQbjbla9OmtoLo9xiPJ9XY2GU0hpKSZqP7LxTl5S0aNSpdBeNlAu/VV1d4t7GAjRixnGTmNj74oHBab7jC3E/TtaNhQW6lZlTf6+40bwzM1n6argULqkyHYBWSmj5LJlMFPSkYmQn7kqRMhamf5pZMn9yMHj3wtEa/zZ+/SevX04tnS7fcMtV0CPCRW6lp+u8/DMKcrMnUjqp7gkKf12A8/vgCXyp0Fi+u9nybQWHp+fbCvAw7V2Hup+naUR9om1o++SGRcDR1apnpMELBbS9h62ceLZK2RlLTZ0uX1qi1lUau2LFUylFzc7fpMHxXKBWpXlu82PzduJdf5oJmW4sWVfP5HmFUambO/XyIMtP9NCWpsrJwh5MEpacnqSeeWOjLtmOxpBYs2OTLtv20YkVtb0I2zMksr9XUdMgpoCfEcZxIDL7t75w6ypPPt/Tkk/58vkWNlz2V/dDVleAaZAskNX02bdpG0yEgJObNqzQdgu/CNCTIJvX1XerpMbe8M5lM9VZi2XpwN8FxpJtummw6DPiEu+CZi8KF7kBsuClXXR3O1Q5hMnLkKl/PVR5+OHyDOmxogWOjVKowkmCuDRtarPgczFdZWd83LMvLozv5fEtub1zsmO3LzyVp1CjaYLlIavps0aL0nU2qmzCQefPCd/c+W+7JEH8P2TPZv/HDDzcwdbcfL7yw1HQI8EFbW8x4/8QwaWrqVnNztJ8vGy7mbVgCH3V+DAja0sSJ6/3ZsE9SKacgKrFz9eabhTM0MCo3r9rbe/rsA+0OCYq6ysrC6IOdrzD0Hx0/PlzHEz+R1PTZ6tX1kqhuwsAKoTdPWHtq2uCNN8ydOLP0vH+NjV0Mg4sglp5n76mnFpkOwVd1deZvyjU1RTtxbNry5bW9n+d+nbdXVrapuzvhz8Z9MHNmOZ+HOzBlSuEc/6MwJMjV13mbOyQoCr/fjjhOYfTBzkdnZ1wVFa2mwxjQ/PnRL4jKFElNHzmO05vUBAaybp39Ze75cpd0keTPntucPWg9PUm9+eYqSbxu/fnHPz4wHQI8xtLz7L31VrSXQdlQqdnSQv8sPw0bFszS8GeeCc8NgJdeSq9GiHqiJ1duIqwQuEnNKJwLjhu3bruvua0EovD7DcT9u0bf1q8PxzU5N5w2I6npo9rajoIY/gJvVFbaf0coXzZcFIZVRUWrkYb07723Tk1NfI7tyMyZ5aGqvMHA3KQmF/KZC/Nk50y4xy+TF7ydnXFzO4+4traYnn8+mAv9sPSo7OlJ6rXX0qtECiHRk4u6usIYFhSLJXpbqkXBnDnbL6UvrAR19Oc45CMM/TQlqbs7EfnWP5kiqekjqjSRjULo38agoNylUo5mziwPfL8vv7xcEsmdHUmlHN1xx3TTYcBDGzY0mw4hdDo745F+3myYfh6Pp0yHEFkvvrhU7e3BDAlZuLDv6cu2ee+9dQVxbpoPx5EWLQrH65mPRYuqjQ6s9Fpx8db9Egtl8rmrublbDQ3mj2m2Wrs2/f4Iw7XPO+8Umw7BCiQ1fURSE9no7k4qlYr23V4qNfMTdLP+9vYejRqVPlgWQCFCXoYPX2A6BHjInY7K+z47jz0233QIvrHh+JVKOZFKLNjCcRzfBwRtqasrEYqhJG5FaRgu7E16881ot96QojMkyNXQ0LVVhe3Gja2B3dSwxRNPLDQdgrXcIUFhOAd87z2GBUkkNX3lJjU5GUCmSkubTIfgG8dxGBSUp6lTg21IP2pUMcsdM1Rd3a7Fi6NfrVEo6KmZm3ffXWs6BN/YkNSU7IkjSqZP39g7rDGoi9iHHpobzI5y1Noa660ACsOFvUnTpkV/WFCUhgRJ6RtEW84yKKQqTdfIkatMh2CtsCw/l6QFC7j2kEhq+mr16vBk+WGHWbOCX14clPb2HnV10XcwH0EPkxoxgqXn2bj22kmmQ4BHoryM2k9RXqFiSzKxpCQ8F1thEWSVpuu997YfVGKTkSNX0Ss6Q6tWRT8hFqUhQa4tl+2uWlV4hUhLl9pfLW5KmJKanK+mkdT0UZRP7uGPhQuj04R7W7ZcEIZZLJZUWVkw1bwNDZ0aPz590RWlk1g/TZpUqkSCpaFh19HRY0X/xDCKx1OaP3+T6TA8192dUFubHUsT16+P7ooOE6qr2/Xmm8EPw9mwoUXxuL3HC3fp+aBBBZTlydG2S5mjpqqqLZJTlressF25svCu2bu7E1q9OvoJ+Wy1tcVUXR2elYWxWFJNTfQ+Jqnpk6g3zIc/opwIZ0iQN55/fkkg+3nzzVVKJBhKkY1EIqWHH55nOgzkKYoXb0F64ono9Zetq7Pn+EVrBG899dRCIwOYHEd66aVgpq1nq7q6XZMmlUpS5Hu9e8FxZGSQY1DmzInmpOzlyzcn9Nzl5xHOTfdp2LDo9sHOVdCr4rzw9tvR7+s7EJKaPlm7tqHgPhiRvyhfrNBP0xvjxwfTEJql57l54IE5pkNAnrghmZ/33y81HYLnbFppUFHRZjqEyEgkUkaHvD3/vJ1JzVdeWU4yM0tRTipErZ+mq7KyVVI6ce8uPy80QV1ThIk7JChMGBZEUtM3xcXh+4OAeWEqd8+We1EYtZOioLnDDPxUWdmqqVPLJBXeXet8lZU1q6SE5aFh5t5c4rMqN6WlTaqtjdaxzKZ2BNXVJDW98u67a1Re3mps/3Pn2lkBx9Tz7E2fHt1KzSj205TSy3ZbW7tVV9ejjo7CHIq5fn2jUilWZW3J7acZps+/hQsZFkRS0ydMPkcuWltjpkPwDcvPvdHW1qPW1m5f9/Hqqysid/IapBtumGw6BOQhyhXzQXAc6Re/GGk6DE/ZdFPOpgRr2JkYELSljo641q+3a6ljcXF9b19czgMyV1wczUq/RCKafZJdEyaUqLw8utdeA0kmnd5WE0hzk5ph+vzbuJG2SSQ1feImNcP0BwHzkklHnZ12DCPwmntRyN9E/tyl4X5v34YL+DAaM2ZtpIcGRJ3bU5OXMHcTJpT09iiLApuWnzc2MhDAC2vXNmjChPSSPZN/6w89NNfczvvgVmkiO01N3Uomo1fxtmJFbaSrGCdNKlV5ebpQoFDPeZ96apHpEKyydm34VtvGYkk1NBT2DU+Smj6J8sAX+Gvx4mhOQKdS0zujRhX7tu21axuo0shTd3dSK1fyfg8rKjW9ccEFb5oOwTM23ZRraSncqiIvPfaYHQMyxoxZYzqEXo7jkNTMw4cfbhj4QSHjLj2PqoULq7VxY2HfKIri+zYfbqVm2IwcGd2+vpkgqemDVMqhpyZyNnu2nT2W8sWgIO8sWOBf7xS/q0ALxfvvcwwIK5Ka3liypEYTJ0ajeb1NS747OqK5miNInZ1xPfPMYtNhSJJKSpqsqfCbO3cTPaHz8M47/t1wNsW9JolqFWNpaXNvpaYNN61MqKpqVyyWMB2GFZqaulRfb8/xPhvuyoNCRVLTBxUVrersjG6pPvy1dGmN6RB8YdPyvbCrre3w5SLIcRySmh6ZMqVJp5zygp57brHa2qisCouurjhV5R669NJ3ItGKwabjV09P0nQIoffqq8vV1ORvb+pMOY70xhsrTYchidYz+ZoxY6PpEDwX1SFBrpaWmCoqOEd78UUqtKXwVmlK0qJF0VzpmSmSmj5g6TnyEcZeHpkgUeAdx5HGjl3r+XaXLKnh88sDO+2Ufo2mTy/XL3/5jj72sbv185+/qffeW2dNRQ76RrN1b1VWtunJJxeaDiNvNiU1k0mHz5E8mR4QtC0bqkYTCUevv75KUnQTWH5bsya8CZG+NDV1Rf6c0HGk7m4+T0eMIKkphfsavNDPX0lq+oDJ58hHRUWb6RA8F4sl1NxsR1VEVLz22grPt/nyy5zUeGHnnQdp+PAjNXhw+iAQiyX1yivL9b3vvaQDD7xHf/3re5GtyA47d0gQvHP11RNDn4Srq7MnqSmp4AcC5GPevErr+kbPmmW+b+GSJW1WtVkIo9bWmOLx6FRSz50bzXZYfSn0a/Z586I74T4bbqVmGN8PPT1J685VgkRS0wdRv6sFf4W1l8eOcKLsvZkzyz3dXirl6JVXWHrulQMP3EVDhmx/VtTQ0KWhQ2frS196TEce+YjuuWemNm2K3o2MsHL7aYbxhNZWra0x3XjjZNNh5MxxHKsqNSWprIzke65sq9KU0n8j5eVmX9OpU9O9NG16XsLo/fdLTIfgGXfpeSG8J3baqQB+yR1obY0x+0Cbk5q23PDKViEPCyKp6QM3qRnWPwiY1dUVj0QPsi1xoPSe1xVlM2eWq7y81dNtYsdWr67XNddM1Mc/PlSnnPKcXnppKUNADGNIkD/uuWem2tvD2besoyOuri67hiisWxfeJXImNTR09t68s+006+GH5xrbd3t7j+bMSZ9T2Pa8hM2oUdEZFuQOCSqE90QhJG4HMnz4AtMhGLdmTbiPrVEZzpgLkpo+oFIT+XAcRa5yy7YqlyhIJh0tWODdchF36TkndsFzHGny5DJddNFIffSjd+vii0dq0qSS0C/ZDSP3ZkEhXMQFKR5P6fLL3zUdRk5sXM5FpWZunn12sbq77UpQu0wmw0aNWqNYLMXx3wNudWPYpVKO5syJxu+SCd770jvvRCchnwvHcULdU1Mq7GFBJDU91tLSraoqqtKQn6idSLhDgjhp8NaLLy71ZDvxeFKvv56evkoyx6zu7oReeGGpTj31BR1yyFD9/e8TtWJFremwCgaVmv4ZMWKZKivDVw1u400500uVwyiVcjRsmH1Lz11r1jQqlQr+RlY8ntQjj6Sfl75apiA769Y1mQ7BE2vXNqipqXB64dv4mRC05csL+1yzvr5TLS3hXFHiKuQVdyQ1PVZcHO4MP+wwf36V6RA8xfJzf0yeXObJdt5/vySSvVzDrra2Q3fdNVNf+MIwHXPMMN1//+xI/C01NHRa22KDpKZ/HEe68MK3TIeRNRuTmtw8z97Eieu1fn064WTjx08q5WjMmLWB7/fqqydo3rxN2m23QSR2PNDe3mNtNXA2olJxOpCddpK+9a19ee8rPWimkIdYuv00w6ynJxmJ64RckNT0GEvP4YWVK+tMh+Ap96LQxguJMPPqJsqIEekeY5zU2Wv58lr95S/v6ZBDhur001/Uhx9uMB1STh55ZK4++tG7dd11k0yHsp1YLKGqqmi1/rDN1KkbtHBhuG7auccvmz4fbVwSbzsbBwRt68knFwa6vxdfXKoHH0z38vzznz+pQYMsfnJCZPz44JPTXiuUIUE77zxIf/7zJ1UU9V80Q241eyEK+9JzV6EOCyKp6TE3qTmIZxZ5KCmJxvIVl7v8HN7q7k7kvZyzqyveewAk6Wy/VMrRhAnr9e1vP6f5873rqRqEJUuqddVVEySZHYrRn/LyVv4GAnDRReGq1qyrs6+KvaGhy3QIobJxY4vGjFkjye7j3PTpGwPb1+LF1frNb0ZLknbeuUjHHbd3YPuOOhMVt14rpCFB2KyQB824Q4LCnsMp1Ncw5C+bfdykpoG2OIiQqC0tI6npn+efX5LXz48Zs0bt7UzcDptUytHpp7+ozs646VAy0tUV1wUXvKWenqSk9ETpWMyuJXosPQ/GqlX1Gj06PAMJbFxp0NxcOL3uvDB27FqlUha9gP1oauoOZOlgY2OXzjrrVXV1pT+Dw34Rb5u5cytNh5CXjo4eLVtWuMuQC1lpabOR3r42cJefh/3XX7y4MIcFcRjzGMvP4YWWlmhdsNjYkywqxo1bl9fPs/Q8vBobu3TOOa+ZDiMjf/vbxO3aarz/fomhaPq2YUOzJP4WgnDZZaOt7au6LRuPX9yIys6MGeWSwvG3/eij83zdfjKZ0s9//uZWN3FYeuutsK+2WrCgSslkOD6f4a1UytHYsfldV4RVFHpqSnYMC0omU3rvvWArRklqeigeT2rdumj8QcCseDzVW9EUBYXatDgI+dxNb27u1tix6WVSIckvYBvjx6/TE08sMB3GDr377ho9/HD6Qn3La+d8E/Jeo1IzODU1HVa2IOiLjcvPozCIJEgzZqSXdYfhOOd3P7SbbpqsCRMKc3liUDo64uroCO+Nh0Lpp4m+PfvsYtMhBM5xnMj01IzHU6quNnvdPXr0Gl144chA90lS00Olpc2Kx0NeswxrrFhRazoET6RSjpUXhVHR3BzL+eR55MhVisWikzwvVL///ViVltpZGVJT065LL31HUvoCacukwrx5dvUELStrkRSOxEcUXHfdJMXj9n/+2FipmUw6oal0Na2qqk2lpc2mw8jYqlX1vr22I0eu0m23TZdEwspvo0evMR1CztykJh8xhWnatOB6+9qiurpdHR3haOeUibfeWmV0/0OHzgp8nyQ1PcTSc3jJPakIu4aGzlD0sgqz119fkdPPsfQ8GhKJlE455TklEnbdVHMcR5de+k7vTY1tL5BsuyvuLj9HMDo64vr73983HcaAbExqSvTVzJS79DwsEomUL605Vq+u18UXvy1p+xtM8N64ceEcFuQ4jmbNisb1B3JTW9uhzs7wVhrnwh0SFBUmhwXNm1dpJDFOUtNDblKTBAG8sGRJNBr9MiTIf7ksV6upadekSaWSuLiJgrKyFv32t2NMh7GVhx+eu8Ml5s3N3VZVm7H8PHgPPTRXra32Juccx1FdnZ3HMBv6ZoWBu/Q8TOfmw4d721KktTWmn/zkld5erBZ97EaWbSsRMlVe3mp86SrMe+65/IaQhk1U+mm6liwxN+jrvvtmSwp+AB1JTQ+5SU1OFuCF4uJo3DWytcolSnI5eX7ttRVU0EbMU08t6u2Ratry5bW65pqJkvpPJjiOtHBhVYBR9S8eT6qyss10GAUnkUjpV78aZTqMfrW0xKxtK2RbpbOtZs4M31LaqVM3eLatVMrRJZe8HZlzyrAIU8uDLUVllRjy8+qrua0ACyv3eBqmm187UlFh5qZneXmLXnst/d4ZPDjYJ5OkpodYfg4vbdwYjSoMhgT5r7q6XclkdhfeLD2PpnPPfU0NDWZ72HZ3J3TBBW/29mvdUTJh1Cg7+o5VVLSS5DfkrbdWWVsla/NNOVufM5t0dsatuXGSjfr6TjU1dXmyrTvumK633/Z3+BC2192dUEuLvVXo/XGTmkFXWcEuCxaE73MzH26lZphufu1IPJ7Spk3B5xEeemiuksn0kzhoEEnNUHIch6QmPGXzxVQ23N+D5Jl/HEeaNCnzHlylpU29PZOicgBHWmdnQqed9qLRZd3XXfe+li3LbNCZuzTUNBJE5jiOdMEFb5oOo082H4c3bmwxHYL15s2rtK7XcKYee2x+3tsYP36dbrjhA0mcg5kQxmSym9RMhfPPBh5pb+9RZWU0imsyEbXl55L05pvBDgtqa4vp8ce9bZ2SDZKaHqmr61RTU/juyMFeuU60tg09NYPxyiuZLxV55ZXlPkYC0xYurNItt0w1su/x49fp/vvnSMrsInrVKjtuBm7YQILIpFmzKqxc9mhrP00pPdUbO+YOCQpjQu/111fm9fMlJU264II35TgMBjJl/HhzwzpyEYslQlnZDH8MG5b/jZUwSKUcrVsXvaRmNsUuXnjmmcVqaYkFus8tkdT0CFWa8JrjSPX19l5QZcpdfs4Jtb+mT8+84s1deo7ouvnmqYFfnNTVdeiXv3xbUuYX0ba0p3ArNVlyZ85FF71lOoTt2LzSoKbGbJuJMHCTmmE8/1i+PLNq9750dsZ19tmv9hZbhPH3j4KFC8M1LGjJkpretjHA6NHFpkMIREVFq7q7E6bD8FyQw4KSyZTuvz89IMjU+RKn7x4hqQk/zJ0brhOivtTWcuEVhEyb0i9fXpvx0mCEl+NIp532grq64gHtz9Gvfz2qtzI704voZNKxYhmtm9RkyZ0569c36bXX7LrhYvPyc9O9c22XSjmaNavcdBg5i8dTWd2sdDmOo8suG210+i3SwrYCwMZqeZhjy0oav0V16F6Qwy/feae49zrU1E00kpoecZOaNt7NR3jNnx/+pKYtlVhRl0ikMqrsGDFiWQDRwAYNDV366U9fD2Rfw4cv0OjRuQ39eecd833HwnbxGVW///1YqwY21dWlE4c2VrrR8mjHVq+uD/1zNGzYvKx/5sEH5+jllznO2yAWS4ZqxZWb1ORaFlL6xsq8eeG/Dh2I208zau/7eDwV2BT0oUNnSTL7HJLU9Iib1LTxxBfhtWJF+Cvq6KkZnBdeWLrD7zuOw9LzAjN27Fo9/fQiX/exalWdrrrqPUm5ndBMmVLmbUA5YFCQHRoaunTPPTNMh9HL5krNtjZzvavCwJYhZPmYNKk0q8dPnVqmv/51giRaadjirbfM37TL1Jw5lZK4lsVmw4dHv69mVCs1JenNN/PrzZyJOXMqrGj1wiHPIyw/hx/Wr28yHUJeHMex+qIwagZqCj1nTmXGy9QRHZdfPkZlZf58lsRiCV1wwVvq6kr3I8rlhGbpUrM3bxKJlMrLqdS0xb/+NVWxmB39rWw+fkWxB5iXwjwkyFVT06H29syGRlZUtOq8895QMumoqIhWGraYMCEcw4JqaztUUhLuaw54L+hhMyasWZOu1IxiMj/bG2O5uO8+s700XSQ1PdDVFafKA74Ish+GH9raerjwCtBA/W/cpeemDzwIViKR0imnPK9k0vur3Btu+ECLF1fntQ3TCcVNm9qUTEbwbDakuroS+vOfx5sOQ5LdSc14PCUnildhHrGhcsQLTzyxYMDHxGIJ/fSnr/W+X8P+O0fJokXhmCY+Zw79NLG9DRtalIr4HZIoV2r63Vt548YWvfFGuhrU9HGHpKYH1q5tNP5CIpqamrpMh5AXmy8Io6izM67a2r57mCaTKb366gpJ5g88CF5pabN+97t3Pd3m+++X6J578u+jE4sljS6l5aakfZ54YqEaG80f/9yemrbq6AhmEFjY1NZ2aN26RtNheOKVVwZuGfOnP43rXToMu5SXB9PTLl/000RfHEcaOTK6U9ATiVSkK5Q3bfK3OOqhh+ZYUxRAUtMDLD2HX2KxpC/VVUFhSFDwXnyx7wEBkyeX0d+0wD3xxEKNH7/Ok201NHTq4otHSkpfBOWbKH/33bUeRJUbkpr2SSYdXXLJSMMxpFRfb3dSs7IyHAmToM2cGd6p59saqNLmyScX6vHHF0oiIWWjeDylTZvs/zudPZt+mujb888vMR2CbzZubFE8Ht7r7IEkEilt3Njsy7bb2mK9xx4bkNT0AJPP4acwVxuQRAveu+/2PYGapeeQpHPOeU2NjfklahzH0WWXjVZVVft//51/XBMnmus7tmFDsyT+NmwzZsxarVljbllYY2OXVZPY+xLm8wM/uUOCojAsJxZLasGCvicQz51bqSuuGCtJGjSoiISUpd58c5XpEHYomUxp7lwqfdG3qVPLTIfgmygvPXf59fnz9NOL1Npqz8DCCBzuzWPyOfwU5ooDd/k5yYLgLF68fVVHLJboPajxOVXYOjvjOv30F/PqxffUU4s0cqS3E10XLDDXd8yt1ORvwz4XXPCmsX3bvvRcUqSXzeXD7acZlVZwDz88b7uv1dZ26JxzXlNPT1KSrE/AF7L337d72MrKlXUZD6RC4WlpiWnmzI2mw/CFe+M0ytepfgwLSiZTuv/+OZLsee5IanqA5efw06JF+Q3hMInl58FrbOzabnLwuHHr1NJiz900mDV/fpX+/e8Pc/rZ4uJ6XXlleojLoEHencmYTM6UlTH53FYLFlRpyhT/p3f2JQw9oTdu5L27re7uhNGbJH7YtpI9kUjpvPNeV0WF/cua4f+wjny5/TSB/tx00xTTIfhi7dror3ZYutT7z5+3315tXUEASc08pVKOioujX7oMc4qLw5s0d5ef2/KBVyi2raIbMSI9aMCWu2kw71//mpL1VNaenqQuvPAtdXamh5N4WRnU1tajRCLp2fay4S4/h51++ct3jOw3DElNv4cAhNH8+Zt6qxejorKyTd3dm29W/u1vEzV16gaDESEblZV2/50yJAgDmTp1Q6hnPPTHTWpG+TrVbRXlpaFDZ0uy6zODpGaeKipaey/wAD8sX16nRCKcB5IwXBRG0Ztvruz9/7a2mEaPTk8ujPJBG9lxHOm0015UV1fmx69//nOyrxVQ06YFv7wpmUxR7Wa5DRta9PzziwPfb12d/e1T6Fu9vTC37NmRZ55ZJCndH/u+++y7oET/EomU1QPpGBKEgSQSKQ0fvsB0GJ4rhJ6aiURKpaXerYaaPbui9zhr02cGSc08sfQcftu0qU3f+MbTamsL3/JhLrjMmDNnc8P3UaPWqqsrsYNHo1DV13fqvPNez+ixU6aU6c47Z0jy70LaxAT0qqr2SE++jIorr3wv8CqRMNyUs306uwluP82oeemlZVq6tEa//vUoSenPYZsuKLFjW95stklzc7dWrqwzHQZC4IEH5pgOwVM9PUmrbzZ4ycthQbbeVCOpmScmnyMIs2dX6otffCx0S83CcFEYRZWVbb2DYF57bYUkPqPQtzFj1vZWAPWnsbFLv/jFSDmOvxfSJvp6sfQ8HJqbu/Wf/+TWBzZX7vHL5sRRU1O36RCs4jhOZCs158/fpLPOerX3JqXN70ts74MPzPQGHsi8eUw9R2bWrGnoXcEQBaWlTUomC+ODdPJkbz5/ysqa9cYb6Rs0th2DSGrmicnnCEpZWbOOOuoRLVtmd8PxLTEoyIxUytGMGeVqbU1o4sT0gYzPKPTnN78Z0+8SbMdxdPnlY3oHUvj5PnKnUAapUO7SR8Htt09XZ2dwE3pra+2vgmxtJam5pTVrGiJbvRqLJZl2H2K2DguinyayEaWBQYUwJMi1dGmtJ9t56KE5nvbT9xJJzTyx/BxBammJ6dhjH9eECesHfrBh3d0JJm4b9OqrKzVzZnNo+7EiOIlESt/+9rN9Lu997rklvXdl/dbQ0NVbYRyUDRvSyVwu6OwXiyX15z9PCGx/YahI6eyktciWorr0HOFXXW3nTX76aSIbr7663HQInnH7aRbC+V9VVf4rPVtbY3riiYUeROMPkpp5IqmJoPX0pPS9772o4cPnmw5lh8JwQRhl06Zt1LRp6aqOQjhgIz8lJc264oqxW31t3bpG/eEP6a8NGuT/myiVcgLv7eVWanJBFw7PP79Mra3BJPLC0D4lHo/WlO98uUvPo3rMi+rvVQiSSUfFxXZdMzqOozlzgm/7gvBqaurWzJnBD3X0QyFMPnclk07elf5PPbVQbW3BrZbJFknNPLS0dKuqys47b4g2x5F++9t39de/vhd4ZVOmGBJk1po1DVqxwv6ecLDH8OELeqvA4/GkLrzwLXV0pKejB7XcZNSoNYHsx8Xy83BJpRy99lp1IPsKQ1LTcdKrIpDmVmpG9ZgX1d+rUHg5rMML69c3qaGhy3QYCJmoLEE30fLIpHxWXSUSqd5BUbbeXCOpmYfi4sL6Y4B9hg6drbPOelU9PfZVa4ThgjDKEon01c8gPuWRhbPOelVNTV265Zapmjs3+AEC06ZtCHR/7vJzhMe4cfVassTfxGY8ngzNEJ7q6nANEPRLQ0Mnq6dgtcmTy0yHsBUTw/kQflOnbuizXVHYFFJPTSm/YUEjR67qPV+29eYal7t54OQJNnjnnWJ9/etPqrnZrgswd0iQrXd0CsXgwbwAyFxnZ1xf+9oTuu226ZKC//tdscKbZuaZSKUcpp+HzKBBUjIpXXTR277uJ0zDZhgekxbVqeeIjiCPb5lgSBBykUikNHz4AtNh5KW7O6Hy8sK6qb1sWe6fP0OHzpZk92cFSc08uElNKqFg2qJF1frCFx7td4KxCSw/N2+nnfh8QvbWrWtSKuWoqCj4O7JBtnSpqWlXLGZflTv6N2RIkQYNkoqLG30dWBCmlQbr15PUlDYvPbf5oguFraamw6qWUW5S06KQEBLuUuSwWr++seDe97kOK5s1qzwUnxVc7ubBTWqmwl+BjQiorGzT0Uc/qgULNpkORdLmi0KbPwCj7n//d28VcYWHHJn4243HU71V3n5j6Xn4DBpUpO9976OSpN/97l3flsDV1YWnUpP3cZpbqck5B2yVSjlavjzYYXj96eyMa8mSGtNhIKTWrGkI9UDYQlt6LqWHBbkT37MRhipNiaRmXlh+Dtu0t/fo619/Su+8U2w6FCo1Ddt55yL94Q+HmQ4DyNro0cF8fjEkKJzOP/8gSekprP/85xRf9hGmSs2KilbTIRjX05PU/2/vvuOjqBP/j7+TUEIxKIgEkSJ4qBwSxALBOxUEQcGvWE5E7hAQ/SnhLFhRqRbEO5DD/kWKnkpRmiAgCAQlhF4DSQRJCJBCCCmE9Oz8/sh3V5YE0nZ3djav5+PBQ3d35jOfncnszr7nU7Zv944busDFLFpU9ck6XGnXriQVFdEqB1Vn5QmD7JMEeXtQ52qVnawsLi5dixeXrOPtNwwJNauoqMimw4drXsoP71dUZNOAAfP1wQeRpmw/NfWsPvxwa7UGJEb1BQT4qWHDWmZXA6i0des889lhDzVr2kWt1QUF1XKMFfz++xHKynL9eNL2UNMKfxtV7VLmS3btSmIWeFjCxo2enQzvQpgkCNXlziFg3M3eYtHbgzpXq+xkZR9+uE02mzV2EqFmFcXFpauwkDtc8F6jR6/RM8+s8MiHUV5ekb777oD+53/m6corp+nZZ1d7dGw8AL5jzx7PdImzTxJU0y5qfUGt/7tfU1ho07Bhy1xevpVaalppUiN3iYhIMLsKQIUcPOgdkwURaqK60tPzFBlpzQnaamL3c0mKiqr49XVmZp6++GKXG2vjWoSaVUTXc1jBZ5/t1D33fO2WFgyGYejXX4/qqaeWKzj433rkke+1fPlvju4sVmjhAsD7eGpG8vh4xiK0qnPHCl68OMbRlcxV7GOFWSHwPn061+wqmI5JgmAVqak5XjFZEKEmXGHcuA1mV6FKamqoWZmh4WbN2q0zZwrcWBvXItSsInuoyQUUvN2aNUd0883/q7Q017TmOHQoTePGbVC7djN0++1zNXPmLmVm5ktyPh+84JoNgAXl5hZ5pCspY2r6joEDv3dpeSdPWqf1o/37t6YyDMMRanLdAW9nGNKOHeaO/3r8eJZOnDhjah3gG8LDj7ptwj53yc4uUGJizfz7Ly42FBtbfsO8oiKbY4Z7q2RdhJpVZA81uYCCFRw4kKo///kT/f571e5MpaXl6JNPtis0dJbat/9Ib731i+LiMiQRZAJwvZ9+OuzW8g3D8FiLULjfnj3JWrXKdX8zVup+npNTaHYVTHXkSLqljhewZEnlJutwNVppwlWKimyaOXOn2dWolJo+J0pFJgtavDhaCQklvZms8tueULOKYmJc29UJcLeUlLPq1Okzbd5csfFP8vOLtGRJtB54YIGaN5+qsLCVZV4IWeXDDoB1rFnzu1vLT03NUW4uE4v4kmHDlrqsW6e9+7kVFBQUm10FU9lbaQJW8csv5o4Ba7+W9ycFgAtMn77V7CpUin2SoJoqPDz+oq8bhqGpU0smG7ZKK02JULNKDMNQdHSq2dUAKi0np1C33z5HCxeWPWOdYRiKjDymkSN/VPPmU/Xggwu1dGmMY1IsK324AbCubdtOuLV8up77npSUs/r3vze7pCwrtfyz2QwVFtbcYNM+SRDXJ7AKs+dl2Lq15PvVZq1ew/BSsbFplroRaB9Ps6Z+Z0RFXXyyssjI445rcCs1XCLUrIJTp3KUnp5ndjWAKikuNjRw4CK9994fP/6OHEnXpEkb1b79R+refbY+/XSH42+c7uUAPO3w4XS3lk/Xc980btwG5eRUb2D73NxCSw2OL9XsGdAZTxNWc/p0rmw2c/5gCwuLTR/TE75n/Phws6tQYfZQs6Z+Z5Q3WdC0adZrpSkRalaJ2XfYAFcYNy5cU6fGq0ePr9Su3QyNHx/uGGeEIBOAmTIz89z6o8/eUtNqF224uLy8Yo0cubJaZaSmWi8gPHLEvTcBJOnEiTNKSfGuSYnS03N14AA9p2AthiFt3mxOF/R9+1I8MhEfapb588vuAeiNanr3c5vtwj2OjxxJ15IlMZKs9/ufULMKCDXhK379NUMREYyTCcC7GIa0fbv7uqDbQ00+63zPV1/t1bFjmVVe30rd6Ox+/929oWZi4hl16TJTzz8f61WzxjLhCaxq6dIYU7bLOQN3SE/PU2SkNcY3/u23mh1qSheeLGjGjK2mtSKvLkLNKrCHmrTwgJXVqeOnkJBLVKcOf8gAvM/y5b+5reyjR6seesG7GYb06KOLqry+lcbTtHP3GLGjRq1UenqecnNtevnln926rcqwdz3nehxWs2mTOQHQli0lNws5Z+Bq48ZtMLsK5crMzLNkbwxXK2uyoIyMPM2atdvzlXERQs0qsM98TgsPWFlAgJ8mTmyngACubAB4n82b3fejj4mCfNvmzce0adPRKq1rDzWt9KP/+PEst5W9ZEm0ozuaVHKzwVWzzFcX42nCqsxqLWZvqck5A1cLDz+q4mLvnn3KPp5mTVfWsC1ffLFL2dnWGk/8XISaVUD3cwAA3Mtd37WGYdBSswYYPHhxlcI3K7biSEpyT5fwzMw8jRq1SpJUu7afAgP9lZdXrDlzzG/NUVhYrK1b6UoLa0pPz1NRUbFHt3nqVI5j7HzA1YqKbJo5c6fZ1biomj6ept3Jk2edro8KC4s1Y8ZWSda6oXsuQs1KyssrUlyc+wdkBwCgJnNXN+DTp3MtfTcaFZOQkKWZM3dVej0rdj93VxA7Zsw6xxiaAQHSX/96mSRpypTNbtleZezZk6zcXCY8gXVt3Fi11uRVxU0AuNv06VvNrsJF2VtqWjW4cxWbzXBqrbloUbSOHSvp8WHVVtyEmpV06FCaZQ82AABWUVxsuOUmIl3Pa44XX1yjwsLKtYayh5pWutY7fTrX5WVGRCTo0093OB77+fmpT58mkkq6zp444b4u7xXhzuEpAE9YtizWo9uzdz2v6YEO3Cc2Ns2rJ9uzD/tgpe93d1m8+KCkkt5LU6dGSpL8/a374UCoWUl0PQcAwDPc8aOPruc1R3Z2gUaPXlOpdazY/TwjI8+l5eXnF+nJJ5dLcg5A2rWr53j86qvmThjEJEGwOk8H8/ZJggh04E7jx4ebXYULYkzNP9hbikdEHNOOHYmSZNmZzyVCzUpj5nMAADyjrBkaq8veUpPv8Zrh00+369SpigeVVux+fvZsoUvLmzIlQtHRJde75wYgfn5+qlWr5MRZvDjatAmDDMNgkiBYnifH9ysuttH9HB4xf36U2VW4IMbU/IO9+/m0aSWtNK1+TUyoWUnMfA4AgGfs33/S5WXaQ02+x2uG4mJDgwcvqvDyVgw18/NdN7ZkdHSq3nnnV0ll/8gJCCj5b25ukWk/Xo8ezXSM9QlYVVZWQaWHx6iqmJhTOnOGsaThfunpeYqM9L7hQdLScpSe7tpeDVaWmpqjw4fTtHRpjCTrXxMTalYS3c8BAPAMd4zbR/fzmmfNmiPavTup3OUMw7BkqFlcbLik25jNZuipp1aooKAkaCnrR47fOUmnPfz0tIiIBFO2C7jamjW/e2Q79vE0AU8YN26D2VUoha7nzmw2Q6+88rPlw0w7Qs1KsNkMQk0AADwkP79YmZmuvbPOREE106BB5bfWPHu2UHl51pxR+/Tp6o8FOnPmTm3aVPHA8MCBVJ08mV3t7VYW42nCVyxf/ptHtsMkQfCk8PCjKi62mV0NJ/ZJgvCHJUtizK6CyxBqVsKJE1nKyXHtuEUAAODCXP2jj1CzZoqNTdPChQcuuowVW2naVbcFcmLiGb3ySsnkP5UJPsaMWVet7VaFfYIVX2lhgprLUy0ot25lkiB4TlGRTTNn7jK7Gk7s42n6k375JA5rJdBKEwAAz/r55yMuKysjI09ZWfkuKw/W8vTTKy7aesTKoebhw9XrWvfss6sc50Zlgo+FCw96dMKgrKx8t4y1C5jh99/T3b6NM2fyFRXFOQPPmj59i9lVcGLvfm7zrgakpvOV1tuEmpXAzOcAAHjWrl3lj4VYUbTSrNnS0/M0fnz4BV9PTbVuqFmdv+1ly2K0aFF0ldbNzi7QsmWe68K2Zctxl4wfCniD7OwCtw95sX17Ii004XGxsWle9Z3KmJpl85XPBkLNSqClJgAAnhUXl+Gysgg18f77EcrKKnucVntLTSvevD52rGrdz7Oy8hUWtlJS1d/3xIkbq7ZiFdgnCbLiMQLK8tNP7p0siPE0YZYJE8LNroKkkkkA7d3P4ZsINSshJqbkZPCVRBsAAG+XnV2gwsJil5R19GiGJH7c1WSFhTYNG7aszNes3P08MbFqE/aMGfOzTpw4I6nq17d79qQoPT23aitXkn2SIK7F4StWrz7s1vLtoSbnDDxt/vwos6sgSUpJOaszZwrMrgbciFCzEmipCQCA523cGO+ScmipCalkxs+yZkK1h5pW/PFflUB28+Zj+vTTHS7Z/htvrHdJORdTVGRzTHgC+Ipt2xLdVrZhGB6bjAg43+nTedq61fy/P1pp+j5CzQrKyspXYuIZs6sBAECNs3Kla1qyxMeXdNG1YmgF1zEMaeDA70s9n5qaY0JtXCMtrXItJQsKivXUU8tlGK5pufzNN/urX0g59u9PUXY2rW3gW44cyXBb2XFxGZb+XIP1jR27wewqMJ5mDUCoWUGxsbTSBADADK5qaWLvfg7s2ZOsVaucw3Irdz/PyCh7nNALmTJlkw4cSJXkmpA/Kytfq1Ydqn5BF2Hveg74krNnC1Vc7Jo7bcXFNp04kaWtW4/r++8PasqUTS4pF6iqDRviVVxs7pTj9paaDD3ku2qZXQGroOs5AADmKKurcFXQ/RznGjZsqZKSXpTf//3SsXKomZ2dX+FlY2JO6e23f5VU8iPPVS2Xx48P1z33/Mk1hZXBHmq6ss6ANzh+vPybEjaboZMnz+rYsUwdP56lY8eydOxYpo4dy3I8Tkw8o6Ki0gES5wzMUlRk0xdf7Nb/+383mVYHe0tNzgHfRahZQfZQ099fspl7swEAgBrl9OlcGYbhCJ+qIisrX+nplWvNBt+WknJWU6dG6qWXukuydvfzvLyKTaZlsxl66qnlKigoWd6VP/J27EhUVla+goLquq7Qc9hnPueHKXzN4cM5Sk09q+Tk3PNCyyzH4+PHs1RYWLkfofavTM4ZmGn69EhTQ01X3RiH9yLUrCD7zOcEmgAAeJZhSFFRJ3XDDc2qXAZdz1GWsWM3KCzsFgUG1rJ0S82iIluFgv9Zs3bp118T3FIHw5AmTAjXtGl9XF62vUUa4Is+/PCYPvzwP5VapyKBJWEmvEFMTJpOnTqryy9v4PFt22yGDh9mTE1fx5iaFUT3cwAAzLNsWWy11qfrOcqSl1ekZ575URkZeWV227SSrKyLd0FPSjqjl19eK6mk55E7zJ27xy3lbt7MeJqoOfz8yh//zzAILWEdEyZsNGW7iYlnlJtbZMq24TmEmhVQVGRzDDALAAA8b9Om6rUuO3q0ZOZzBorH+b76aq/27Ek2uxrVdvz4mYu+/uyzq5WZWRJ8uqvnUXp6njZsiHN5ueeOpwn4krp1/fT559crMPCPP24CS/iaefOiTNkurTRrBkLNCoiLS6/0GCYAAMB17DM1VxUtNXEhhiH94x9LzK5GtR0+fOEb8D/8EKvvvz/okXq8+eZ6l5dpDzUJeuBr/P391KxZ3WqNGQ14u9Onc7V163GPb/fw4XRJ3BDzdYSaFUDXcwAAzJWcnF2t9e2hJqEIynLixMVbOVpBXFxGmc9nZeVr5MgfJXnmh92WLSeUk1PosvKyswu0d6/1W9ICQE02duwGj2/TPvM5fBuhZgXYQ00SfgAAzFFUZFNSUtWDJ3v3c+BirHytl5CQUebzb7yxzhHaeiLUt9kMvfWW68ZP27r1uIqLuRsBAFa2YUO8ios92/vVHmpyQ9u3EWpWgD3U5GQAAMA8P/zwW5XXpfs5fN2JE6VbM0dGHtPHH2/3eF1mzdrtsrLskwRZOXAGgJquqMimL75w3XdDRTCmZs1AqFkBMTFMEgQAgNnWrz9SpfXOni3QqVM5Lq4NfJGVb2CfPOkcahYUFOvJJ5fLMDwfCKam5mjLFtfMWM54mgDgG6ZPj/TYtoqLDR05kuGx7cE8hJrlMAxD0dHVm5wAAABU3969KVVaj67nqAlOncp1evyvf0U4JtgyIxAcM2ZdtcsoLrYpMtLzk0sAAFwvJiZNaWmeucl86lSBCgqKPbItmItQsxynTuU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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -455,10 +455,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:21.281874Z",
-     "iopub.status.busy": "2024-09-13T08:23:21.281474Z",
-     "iopub.status.idle": "2024-09-13T08:23:21.589230Z",
-     "shell.execute_reply": "2024-09-13T08:23:21.588665Z"
+     "iopub.execute_input": "2025-02-02T04:22:15.217971Z",
+     "iopub.status.busy": "2025-02-02T04:22:15.217539Z",
+     "iopub.status.idle": "2025-02-02T04:22:15.469855Z",
+     "shell.execute_reply": "2025-02-02T04:22:15.469265Z"
     },
     "tags": [
      "remove-input"
@@ -467,7 +467,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -502,10 +502,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:21.591731Z",
-     "iopub.status.busy": "2024-09-13T08:23:21.591346Z",
-     "iopub.status.idle": "2024-09-13T08:23:21.740792Z",
-     "shell.execute_reply": "2024-09-13T08:23:21.740274Z"
+     "iopub.execute_input": "2025-02-02T04:22:15.471741Z",
+     "iopub.status.busy": "2025-02-02T04:22:15.471397Z",
+     "iopub.status.idle": "2025-02-02T04:22:15.598993Z",
+     "shell.execute_reply": "2025-02-02T04:22:15.598523Z"
     },
     "tags": [
      "remove-input"
@@ -514,7 +514,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -547,10 +547,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:21.743113Z",
-     "iopub.status.busy": "2024-09-13T08:23:21.742741Z",
-     "iopub.status.idle": "2024-09-13T08:23:21.969447Z",
-     "shell.execute_reply": "2024-09-13T08:23:21.968824Z"
+     "iopub.execute_input": "2025-02-02T04:22:15.600902Z",
+     "iopub.status.busy": "2025-02-02T04:22:15.600554Z",
+     "iopub.status.idle": "2025-02-02T04:22:15.820792Z",
+     "shell.execute_reply": "2025-02-02T04:22:15.820215Z"
     },
     "tags": [
      "remove-input"
@@ -559,7 +559,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -604,10 +604,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:21.971941Z",
-     "iopub.status.busy": "2024-09-13T08:23:21.971584Z",
-     "iopub.status.idle": "2024-09-13T08:23:22.197231Z",
-     "shell.execute_reply": "2024-09-13T08:23:22.196705Z"
+     "iopub.execute_input": "2025-02-02T04:22:15.822779Z",
+     "iopub.status.busy": "2025-02-02T04:22:15.822426Z",
+     "iopub.status.idle": "2025-02-02T04:22:16.045627Z",
+     "shell.execute_reply": "2025-02-02T04:22:16.045105Z"
     },
     "tags": [
      "remove-input"
@@ -616,7 +616,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -672,10 +672,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:22.199785Z",
-     "iopub.status.busy": "2024-09-13T08:23:22.199420Z",
-     "iopub.status.idle": "2024-09-13T08:23:22.209472Z",
-     "shell.execute_reply": "2024-09-13T08:23:22.208877Z"
+     "iopub.execute_input": "2025-02-02T04:22:16.047692Z",
+     "iopub.status.busy": "2025-02-02T04:22:16.047351Z",
+     "iopub.status.idle": "2025-02-02T04:22:16.056363Z",
+     "shell.execute_reply": "2025-02-02T04:22:16.055919Z"
     },
     "tags": [
      "remove-input"
@@ -685,7 +685,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_d845fa3c_fb08_43a8_9c77_a0d8171d3c10\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_f2bb8cd7_bb04_4965_91c4_472854684ae0\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -695,7 +695,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -786,24 +785,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_f2bb8cd7_bb04_4965_91c4_472854684ae0:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_d845fa3c_fb08_43a8_9c77_a0d8171d3c10:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 7315, 38.0], [\"secure@microsoft.com\", 1406, 7.0], [\"secalert_us@oracle.com\", 811, 4.0], [\"secalert@redhat.com\", 802, 4.0], [\"psirt@us.ibm.com\", 560, 3.0], [\"ykramarz@cisco.com\", 558, 3.0], [\"security@android.com\", 538, 3.0], [\"security-advisories@github.com\", 502, 3.0], [\"product-security@apple.com\", 463, 2.0], [\"psirt@adobe.com\", 349, 2.0], [\"product-security@qualcomm.com\", 304, 2.0], [\"ics-cert@hq.dhs.gov\", 282, 1.0], [\"chrome-cve-admin@google.com\", 262, 1.0], [\"security-alert@hpe.com\", 244, 1.0], [\"secure@intel.com\", 241, 1.0], [\"jenkinsci-cert@googlegroups.com\", 235, 1.0], [\"report@snyk.io\", 224, 1.0], [\"talos-cna@cisco.com\", 221, 1.0], [\"cna@sap.com\", 219, 1.0], [\"security@mozilla.org\", 212, 1.0], [\"support@hackerone.com\", 208, 1.0], [\"zdi-disclosures@trendmicro.com\", 195, 1.0], [\"psirt@huawei.com\", 187, 1.0], [\"vultures@jpcert.or.jp\", 170, 1.0], [\"security@apache.org\", 161, 1.0], [\"cybersecurity@se.com\", 118, 1.0], [\"f5sirt@f5.com\", 118, 1.0], [\"cve@gitlab.com\", 116, 1.0], [\"vulnreport@tenable.com\", 99, 1.0], [\"productcert@siemens.com\", 94, 0.0], [\"trellixpsirt@trellix.com\", 86, 0.0], [\"sirt@juniper.net\", 82, 0.0], [\"security@atlassian.com\", 81, 0.0], [\"security@trendmicro.com\", 77, 0.0], [\"security_alert@emc.com\", 73, 0.0], [\"psirt@paloaltonetworks.com\", 73, 0.0], [\"security@vmware.com\", 64, 0.0], [\"security@ubuntu.com\", 61, 0.0], [\"twcert@cert.org.tw\", 58, 0.0], [\"psirt@nvidia.com\", 57, 0.0], [\"cybersecurity@ch.abb.com\", 55, 0.0], [\"cret@cert.org\", 54, 0.0], [\"psirt@lenovo.com\", 52, 0.0], [\"cve@rapid7.com\", 48, 0.0], [\"psirt@hcl.com\", 47, 0.0], [\"psirt@fortinet.com\", 45, 0.0], [\"vuln@krcert.or.kr\", 43, 0.0], [\"security@opentext.com\", 40, 0.0], [\"meissner@suse.de\", 39, 0.0], [\"security-alert@netapp.com\", 37, 0.0], [\"secure@symantec.com\", 37, 0.0], [\"vulnerabilities@zephyrproject.org\", 37, 0.0], [\"security@pivotal.io\", 35, 0.0], [\"cve-assign@fb.com\", 31, 0.0], [\"cve-coordination@google.com\", 31, 0.0], [\"secteam@freebsd.org\", 30, 0.0], [\"security@qnapsecurity.com.tw\", 30, 0.0], [\"cve@aliasrobotics.com\", 29, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 27, 0.0], [\"jordan@liggitt.net\", 27, 0.0], [\"cve-requests@bitdefender.com\", 27, 0.0], [\"openssl-security@openssl.org\", 26, 0.0], [\"info@cert.vde.com\", 23, 0.0], [\"security-officer@isc.org\", 22, 0.0], [\"security@debian.org\", 20, 0.0], [\"psirt@zte.com.cn\", 20, 0.0], [\"cna@mongodb.com\", 18, 0.0], [\"vulnerabilitylab@mend.io\", 17, 0.0], [\"securityalerts@avaya.com\", 17, 0.0], [\"PSIRT@sonicwall.com\", 17, 0.0], [\"security@tibco.com\", 17, 0.0], [\"security@synology.com\", 16, 0.0], [\"sirt@brocade.com\", 16, 0.0], [\"cve@checkpoint.com\", 16, 0.0], [\"vuln@ca.com\", 15, 0.0], [\"psirt@sick.de\", 15, 0.0], [\"security@otrs.com\", 14, 0.0], [\"security@odoo.com\", 13, 0.0], [\"security@php.net\", 13, 0.0], [\"bressers@elastic.co\", 12, 0.0], [\"hp-security-alert@hp.com\", 10, 0.0], [\"emo@eclipse.org\", 10, 0.0], [\"disclosures@gallagher.com\", 9, 0.0], [\"security@oppo.com\", 8, 0.0], [\"sirt@silver-peak.com\", 8, 0.0], [\"security@teradici.com\", 8, 0.0], [\"productsecurity@jci.com\", 7, 0.0], [\"vulnerability@kaspersky.com\", 7, 0.0], [\"security@joomla.org\", 7, 0.0], [\"psirt@autodesk.com\", 7, 0.0], [\"psirt@bosch.com\", 6, 0.0], [\"security-report@netflix.com\", 6, 0.0], [\"psirt@amd.com\", 6, 0.0], [\"CybersecurityCOE@eaton.com\", 5, 0.0], [\"cybersecurity@dahuatech.com\", 5, 0.0], [\"security@xiaomi.com\", 4, 0.0], [\"security@puppet.com\", 4, 0.0], [\"security@360.cn\", 4, 0.0], [\"responsibledisclosure@mattermost.com\", 3, 0.0], [\"vuln@vdoo.com\", 3, 0.0], [\"larry0@me.com\", 3, 0.0], [\"security@documentfoundation.org\", 3, 0.0], [\"cve@navercorp.com\", 3, 0.0], [\"security@salesforce.com\", 3, 0.0], [\"product-cna@github.com\", 3, 0.0], [\"security@tcpdump.org\", 2, 0.0], [\"cve-coordination@incibe.es\", 2, 0.0], [\"mlhess@drupal.org\", 2, 0.0], [\"security@golang.org\", 2, 0.0], [\"securities@openeuler.org\", 2, 0.0], [\"secure@blackberry.com\", 2, 0.0], [\"security@opera.com\", 2, 0.0], [\"security@craftersoftware.com\", 2, 0.0], [\"cert@airbus.com\", 1, 0.0], [\"psirt@forcepoint.com\", 1, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 1, 0.0], [\"security@openvpn.net\", 1, 0.0], [\"psirt@tigera.io\", 1, 0.0], [\"office@obdev.at\", 1, 0.0], [\"security@vivo.com\", 1, 0.0], [\"secure@ea.com\", 1, 0.0], [\"cna@cloudflare.com\", 1, 0.0], [\"sep@nlnetlabs.nl\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 7315, 38.0], [\"secure@microsoft.com\", 1406, 7.0], [\"secalert_us@oracle.com\", 811, 4.0], [\"secalert@redhat.com\", 802, 4.0], [\"psirt@us.ibm.com\", 560, 3.0], [\"psirt@cisco.com\", 558, 3.0], [\"security@android.com\", 538, 3.0], [\"security-advisories@github.com\", 502, 3.0], [\"product-security@apple.com\", 463, 2.0], [\"psirt@adobe.com\", 349, 2.0], [\"product-security@qualcomm.com\", 304, 2.0], [\"ics-cert@hq.dhs.gov\", 282, 1.0], [\"chrome-cve-admin@google.com\", 262, 1.0], [\"security-alert@hpe.com\", 244, 1.0], [\"secure@intel.com\", 241, 1.0], [\"jenkinsci-cert@googlegroups.com\", 235, 1.0], [\"report@snyk.io\", 224, 1.0], [\"talos-cna@cisco.com\", 221, 1.0], [\"cna@sap.com\", 219, 1.0], [\"security@mozilla.org\", 212, 1.0], [\"support@hackerone.com\", 208, 1.0], [\"zdi-disclosures@trendmicro.com\", 195, 1.0], [\"psirt@huawei.com\", 187, 1.0], [\"vultures@jpcert.or.jp\", 170, 1.0], [\"security@apache.org\", 161, 1.0], [\"cybersecurity@se.com\", 118, 1.0], [\"f5sirt@f5.com\", 118, 1.0], [\"cve@gitlab.com\", 116, 1.0], [\"vulnreport@tenable.com\", 99, 1.0], [\"productcert@siemens.com\", 94, 0.0], [\"trellixpsirt@trellix.com\", 86, 0.0], [\"sirt@juniper.net\", 82, 0.0], [\"security@atlassian.com\", 81, 0.0], [\"security@trendmicro.com\", 77, 0.0], [\"security_alert@emc.com\", 73, 0.0], [\"psirt@paloaltonetworks.com\", 73, 0.0], [\"security@vmware.com\", 64, 0.0], [\"security@ubuntu.com\", 61, 0.0], [\"twcert@cert.org.tw\", 58, 0.0], [\"psirt@nvidia.com\", 57, 0.0], [\"cybersecurity@ch.abb.com\", 55, 0.0], [\"cret@cert.org\", 54, 0.0], [\"psirt@lenovo.com\", 52, 0.0], [\"cve@rapid7.com\", 48, 0.0], [\"psirt@hcl.com\", 47, 0.0], [\"psirt@fortinet.com\", 45, 0.0], [\"vuln@krcert.or.kr\", 43, 0.0], [\"security@opentext.com\", 40, 0.0], [\"meissner@suse.de\", 39, 0.0], [\"security-alert@netapp.com\", 37, 0.0], [\"secure@symantec.com\", 37, 0.0], [\"vulnerabilities@zephyrproject.org\", 37, 0.0], [\"security@pivotal.io\", 35, 0.0], [\"cve-assign@fb.com\", 31, 0.0], [\"cve-coordination@google.com\", 31, 0.0], [\"secteam@freebsd.org\", 30, 0.0], [\"security@qnapsecurity.com.tw\", 30, 0.0], [\"cve@aliasrobotics.com\", 29, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 27, 0.0], [\"jordan@liggitt.net\", 27, 0.0], [\"cve-requests@bitdefender.com\", 27, 0.0], [\"openssl-security@openssl.org\", 26, 0.0], [\"info@cert.vde.com\", 23, 0.0], [\"security-officer@isc.org\", 22, 0.0], [\"security@debian.org\", 20, 0.0], [\"psirt@zte.com.cn\", 20, 0.0], [\"cna@mongodb.com\", 18, 0.0], [\"vulnerabilitylab@mend.io\", 17, 0.0], [\"securityalerts@avaya.com\", 17, 0.0], [\"PSIRT@sonicwall.com\", 17, 0.0], [\"security@tibco.com\", 17, 0.0], [\"security@synology.com\", 16, 0.0], [\"sirt@brocade.com\", 16, 0.0], [\"cve@checkpoint.com\", 16, 0.0], [\"vuln@ca.com\", 15, 0.0], [\"psirt@sick.de\", 15, 0.0], [\"security@otrs.com\", 14, 0.0], [\"security@odoo.com\", 13, 0.0], [\"security@php.net\", 13, 0.0], [\"bressers@elastic.co\", 12, 0.0], [\"hp-security-alert@hp.com\", 10, 0.0], [\"emo@eclipse.org\", 10, 0.0], [\"disclosures@gallagher.com\", 9, 0.0], [\"security@oppo.com\", 8, 0.0], [\"sirt@silver-peak.com\", 8, 0.0], [\"security@teradici.com\", 8, 0.0], [\"productsecurity@jci.com\", 7, 0.0], [\"vulnerability@kaspersky.com\", 7, 0.0], [\"security@joomla.org\", 7, 0.0], [\"psirt@autodesk.com\", 7, 0.0], [\"psirt@bosch.com\", 6, 0.0], [\"security-report@netflix.com\", 6, 0.0], [\"psirt@amd.com\", 6, 0.0], [\"CybersecurityCOE@eaton.com\", 5, 0.0], [\"cybersecurity@dahuatech.com\", 5, 0.0], [\"security@xiaomi.com\", 4, 0.0], [\"security@puppet.com\", 4, 0.0], [\"security@360.cn\", 4, 0.0], [\"responsibledisclosure@mattermost.com\", 3, 0.0], [\"vuln@vdoo.com\", 3, 0.0], [\"larry0@me.com\", 3, 0.0], [\"security@documentfoundation.org\", 3, 0.0], [\"cve@navercorp.com\", 3, 0.0], [\"security@salesforce.com\", 3, 0.0], [\"product-cna@github.com\", 3, 0.0], [\"security@tcpdump.org\", 2, 0.0], [\"cve-coordination@incibe.es\", 2, 0.0], [\"mlhess@drupal.org\", 2, 0.0], [\"security@golang.org\", 2, 0.0], [\"securities@openeuler.org\", 2, 0.0], [\"secure@blackberry.com\", 2, 0.0], [\"security@opera.com\", 2, 0.0], [\"security@craftersoftware.com\", 2, 0.0], [\"cert@airbus.com\", 1, 0.0], [\"psirt@forcepoint.com\", 1, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 1, 0.0], [\"security@openvpn.net\", 1, 0.0], [\"psirt@tigera.io\", 1, 0.0], [\"office@obdev.at\", 1, 0.0], [\"security@vivo.com\", 1, 0.0], [\"secure@ea.com\", 1, 0.0], [\"cna@cloudflare.com\", 1, 0.0], [\"sep@nlnetlabs.nl\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -838,10 +836,10 @@
    "id": "c54abbca",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:22.211714Z",
-     "iopub.status.busy": "2024-09-13T08:23:22.211386Z",
-     "iopub.status.idle": "2024-09-13T08:23:22.217466Z",
-     "shell.execute_reply": "2024-09-13T08:23:22.217003Z"
+     "iopub.execute_input": "2025-02-02T04:22:16.058063Z",
+     "iopub.status.busy": "2025-02-02T04:22:16.057799Z",
+     "iopub.status.idle": "2025-02-02T04:22:16.063697Z",
+     "shell.execute_reply": "2025-02-02T04:22:16.063171Z"
     },
     "tags": [
      "remove-input"
@@ -851,7 +849,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_8cc9edaf_aed4_49d6_8eb1_ecaff340a408\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_09b04601_0bde_473f_96b3_8f089eace344\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -860,7 +858,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -951,24 +948,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_09b04601_0bde_473f_96b3_8f089eace344:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_8cc9edaf_aed4_49d6_8eb1_ecaff340a408:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"NVD-CWE-noinfo\", 3544], [\"CWE-79\", 2139], [\"CWE-787\", 1168], [\"Missing_Data\", 920], [\"CWE-20\", 693], [\"CWE-125\", 668], [\"CWE-78\", 514], [\"CWE-89\", 456], [\"CWE-22\", 428], [\"CWE-352\", 394], [\"CWE-120\", 377], [\"NVD-CWE-Other\", 374], [\"CWE-416\", 339], [\"CWE-287\", 327], [\"CWE-200\", 290], [\"CWE-862\", 257], [\"CWE-269\", 246], [\"CWE-306\", 245], [\"CWE-434\", 220], [\"CWE-276\", 200], [\"CWE-400\", 192], [\"CWE-798\", 179], [\"CWE-190\", 179], [\"CWE-74\", 176], [\"CWE-476\", 176], [\"CWE-863\", 172], [\"CWE-732\", 162], [\"CWE-522\", 154], [\"CWE-502\", 152], [\"CWE-362\", 143], [\"CWE-295\", 137], [\"CWE-119\", 132], [\"CWE-77\", 115], [\"CWE-918\", 113], [\"CWE-611\", 108], [\"CWE-319\", 103], [\"CWE-427\", 100], [\"CWE-59\", 100], [\"CWE-601\", 96], [\"CWE-532\", 84], [\"CWE-94\", 83], [\"CWE-327\", 80], [\"CWE-401\", 77], [\"CWE-312\", 72], [\"CWE-755\", 72], [\"CWE-347\", 68], [\"CWE-917\", 68], [\"CWE-1321\", 65], [\"CWE-203\", 65], [\"CWE-209\", 60], [\"CWE-770\", 59], [\"CWE-843\", 58], [\"CWE-307\", 54], [\"CWE-668\", 54], [\"CWE-835\", 51], [\"CWE-426\", 50], [\"CWE-444\", 49], [\"CWE-415\", 49], [\"CWE-345\", 48], [\"CWE-613\", 48], [\"CWE-330\", 48], [\"CWE-129\", 46], [\"CWE-1021\", 46], [\"CWE-639\", 45], [\"CWE-754\", 45], [\"CWE-665\", 43], [\"CWE-908\", 42], [\"CWE-367\", 41], [\"CWE-384\", 40], [\"CWE-326\", 38], [\"CWE-1236\", 38], [\"CWE-346\", 31], [\"CWE-521\", 31], [\"CWE-281\", 31], [\"CWE-290\", 31], [\"CWE-404\", 31], [\"CWE-552\", 30], [\"CWE-617\", 29], [\"CWE-191\", 29], [\"CWE-674\", 28], [\"CWE-311\", 27], [\"CWE-1188\", 26], [\"CWE-494\", 26], [\"CWE-922\", 24], [\"CWE-428\", 24], [\"CWE-88\", 22], [\"CWE-294\", 22], [\"CWE-116\", 20], [\"CWE-824\", 19], [\"CWE-425\", 18], [\"CWE-354\", 18], [\"CWE-459\", 18], [\"CWE-369\", 14], [\"CWE-763\", 14], [\"CWE-91\", 13], [\"CWE-122\", 13], [\"CWE-212\", 13], [\"CWE-667\", 13], [\"CWE-134\", 12], [\"CWE-772\", 12], [\"CWE-640\", 12], [\"CWE-436\", 12], [\"CWE-670\", 12], [\"CWE-776\", 12], [\"CWE-610\", 12], [\"CWE-829\", 11], [\"CWE-131\", 11], [\"CWE-697\", 11], [\"CWE-121\", 10], [\"CWE-193\", 10], [\"CWE-916\", 9], [\"CWE-706\", 9], [\"CWE-331\", 9], [\"CWE-669\", 9], [\"CWE-252\", 8], [\"CWE-672\", 8], [\"CWE-909\", 8], [\"CWE-682\", 7], [\"CWE-266\", 7], [\"CWE-704\", 6], [\"CWE-565\", 5], [\"CWE-273\", 5], [\"CWE-284\", 5], [\"CWE-681\", 5], [\"CWE-913\", 5], [\"CWE-117\", 4], [\"CWE-662\", 4], [\"CWE-80\", 4], [\"CWE-749\", 3], [\"CWE-321\", 3], [\"CWE-288\", 3], [\"CWE-178\", 3], [\"CWE-834\", 3], [\"CWE-338\", 3], [\"CWE-693\", 2], [\"CWE-680\", 2], [\"CWE-305\", 2], [\"CWE-838\", 2], [\"CWE-912\", 2], [\"CWE-285\", 2], [\"CWE-61\", 2], [\"CWE-349\", 2], [\"CWE-335\", 2], [\"CWE-23\", 2], [\"CWE-924\", 2], [\"CWE-313\", 1], [\"CWE-1333\", 1], [\"CWE-113\", 1], [\"CWE-778\", 1], [\"CWE-377\", 1], [\"CWE-470\", 1], [\"CWE-195\", 1], [\"CWE-114\", 1], [\"CWE-73\", 1], [\"CWE-208\", 1], [\"CWE-350\", 1], [\"CWE-93\", 1], [\"CWE-684\", 1], [\"CWE-707\", 1], [\"CWE-185\", 1], [\"CWE-323\", 1], [\"CWE-506\", 1], [\"CWE-201\", 1], [\"CWE-250\", 1], [\"CWE-299\", 1], [\"CWE-822\", 1], [\"CWE-303\", 1], [\"CWE-279\", 1], [\"CWE-460\", 1], [\"CWE-130\", 1], [\"CWE-1286\", 1], [\"CWE-342\", 1], [\"CWE-259\", 1], [\"CWE-603\", 1], [\"CWE-385\", 1], [\"CWE-757\", 1], [\"CWE-334\", 1], [\"CWE-183\", 1], [\"CWE-760\", 1], [\"CWE-471\", 1], [\"CWE-123\", 1], [\"CWE-248\", 1], [\"CWE-920\", 1], [\"CWE-115\", 1]];\n",
+       "        const data = [[\"NVD-CWE-noinfo\", 3407], [\"CWE-79\", 2135], [\"CWE-787\", 1038], [\"Missing_Data\", 920], [\"CWE-20\", 785], [\"CWE-125\", 628], [\"CWE-78\", 490], [\"CWE-89\", 455], [\"CWE-22\", 391], [\"CWE-352\", 386], [\"CWE-120\", 378], [\"CWE-416\", 340], [\"CWE-200\", 328], [\"CWE-287\", 316], [\"NVD-CWE-Other\", 243], [\"CWE-862\", 229], [\"CWE-306\", 229], [\"CWE-434\", 217], [\"CWE-269\", 200], [\"CWE-400\", 196], [\"CWE-276\", 194], [\"CWE-190\", 176], [\"CWE-476\", 173], [\"CWE-119\", 165], [\"CWE-74\", 162], [\"CWE-798\", 159], [\"CWE-732\", 144], [\"CWE-502\", 143], [\"CWE-77\", 143], [\"CWE-522\", 137], [\"CWE-362\", 135], [\"CWE-295\", 131], [\"CWE-863\", 129], [\"CWE-284\", 110], [\"CWE-918\", 110], [\"CWE-611\", 107], [\"CWE-59\", 102], [\"CWE-427\", 101], [\"CWE-319\", 98], [\"CWE-601\", 94], [\"CWE-94\", 89], [\"CWE-532\", 74], [\"CWE-327\", 73], [\"CWE-312\", 66], [\"CWE-755\", 66], [\"CWE-917\", 66], [\"CWE-347\", 64], [\"CWE-203\", 63], [\"CWE-401\", 63], [\"CWE-1321\", 61], [\"CWE-209\", 59], [\"CWE-843\", 58], [\"CWE-121\", 56], [\"CWE-770\", 53], [\"CWE-307\", 52], [\"CWE-415\", 50], [\"CWE-285\", 49], [\"CWE-835\", 49], [\"CWE-129\", 47], [\"CWE-444\", 47], [\"CWE-426\", 47], [\"CWE-122\", 46], [\"CWE-367\", 43], [\"CWE-613\", 43], [\"CWE-668\", 43], [\"CWE-330\", 43], [\"CWE-908\", 42], [\"CWE-754\", 42], [\"CWE-384\", 41], [\"CWE-264\", 41], [\"CWE-639\", 41], [\"CWE-1021\", 41], [\"CWE-665\", 39], [\"CWE-345\", 39], [\"CWE-1236\", 36], [\"CWE-326\", 35], [\"CWE-346\", 32], [\"CWE-521\", 31], [\"CWE-404\", 31], [\"CWE-290\", 30], [\"CWE-617\", 28], [\"CWE-281\", 28], [\"CWE-311\", 27], [\"CWE-494\", 27], [\"CWE-674\", 27], [\"CWE-428\", 24], [\"CWE-191\", 24], [\"CWE-294\", 22], [\"CWE-23\", 22], [\"CWE-922\", 22], [\"CWE-1188\", 21], [\"CWE-552\", 21], [\"CWE-88\", 21], [\"CWE-266\", 19], [\"CWE-824\", 18], [\"CWE-425\", 18], [\"CWE-459\", 18], [\"CWE-354\", 16], [\"CWE-16\", 16], [\"CWE-693\", 15], [\"CWE-369\", 14], [\"CWE-288\", 14], [\"CWE-763\", 14], [\"CWE-80\", 14], [\"CWE-274\", 13], [\"CWE-91\", 13], [\"CWE-667\", 13], [\"CWE-116\", 13], [\"CWE-399\", 13], [\"CWE-212\", 12], [\"CWE-776\", 12], [\"CWE-321\", 12], [\"CWE-73\", 12], [\"CWE-749\", 12], [\"CWE-640\", 12], [\"CWE-134\", 11], [\"CWE-193\", 11], [\"CWE-670\", 11], [\"CWE-697\", 11], [\"CWE-201\", 10], [\"CWE-131\", 10], [\"CWE-829\", 10], [\"CWE-772\", 10], [\"CWE-916\", 9], [\"CWE-706\", 9], [\"CWE-788\", 9], [\"CWE-256\", 8], [\"CWE-669\", 8], [\"CWE-331\", 8], [\"CWE-377\", 8], [\"CWE-250\", 8], [\"CWE-909\", 8], [\"CWE-672\", 8], [\"CWE-436\", 8], [\"CWE-259\", 8], [\"CWE-704\", 7], [\"CWE-252\", 7], [\"CWE-248\", 7], [\"CWE-682\", 7], [\"CWE-255\", 6], [\"CWE-305\", 6], [\"CWE-117\", 6], [\"CWE-451\", 6], [\"CWE-610\", 6], [\"CWE-471\", 6], [\"CWE-113\", 5], [\"CWE-664\", 5], [\"CWE-353\", 5], [\"CWE-680\", 5], [\"CWE-275\", 5], [\"CWE-565\", 5], [\"CWE-913\", 5], [\"CWE-95\", 4], [\"CWE-273\", 4], [\"CWE-115\", 4], [\"CWE-93\", 4], [\"CWE-303\", 4], [\"CWE-757\", 4], [\"CWE-371\", 4], [\"CWE-310\", 4], [\"CWE-912\", 4], [\"CWE-267\", 4], [\"CWE-681\", 4], [\"CWE-789\", 4], [\"CWE-489\", 4], [\"CWE-185\", 4], [\"CWE-338\", 3], [\"CWE-123\", 3], [\"CWE-707\", 3], [\"CWE-548\", 3], [\"CWE-703\", 3], [\"CWE-114\", 3], [\"CWE-19\", 3], [\"CWE-158\", 3], [\"CWE-300\", 3], [\"CWE-99\", 3], [\"CWE-280\", 3], [\"CWE-358\", 3], [\"CWE-822\", 3], [\"CWE-662\", 3], [\"CWE-297\", 3], [\"CWE-805\", 3], [\"CWE-840\", 3], [\"CWE-61\", 3], [\"CWE-501\", 3], [\"CWE-440\", 3], [\"CWE-834\", 3], [\"CWE-388\", 3], [\"CWE-656\", 3], [\"CWE-159\", 3], [\"CWE-213\", 2], [\"CWE-657\", 2], [\"CWE-356\", 2], [\"CWE-341\", 2], [\"CWE-90\", 2], [\"CWE-626\", 2], [\"CWE-497\", 2], [\"CWE-394\", 2], [\"CWE-184\", 2], [\"CWE-603\", 2], [\"CWE-710\", 2], [\"CWE-208\", 2], [\"CWE-98\", 2], [\"CWE-335\", 2], [\"CWE-261\", 2], [\"CWE-1004\", 2], [\"CWE-130\", 2], [\"CWE-183\", 2], [\"CWE-299\", 2], [\"CWE-96\", 2], [\"CWE-823\", 2], [\"CWE-270\", 2], [\"CWE-126\", 2], [\"CWE-838\", 2], [\"CWE-325\", 2], [\"CWE-924\", 2], [\"CWE-379\", 2], [\"CWE-614\", 2], [\"CWE-378\", 2], [\"CWE-602\", 2], [\"CWE-195\", 2], [\"CWE-257\", 2], [\"CWE-349\", 2], [\"CWE-118\", 2], [\"CWE-170\", 2], [\"CWE-648\", 2], [\"CWE-778\", 2], [\"CWE-644\", 1], [\"CWE-477\", 1], [\"CWE-807\", 1], [\"CWE-941\", 1], [\"CWE-943\", 1], [\"CWE-296\", 1], [\"CWE-547\", 1], [\"CWE-592\", 1], [\"CWE-313\", 1], [\"CWE-472\", 1], [\"CWE-393\", 1], [\"CWE-357\", 1], [\"CWE-642\", 1], [\"CWE-112\", 1], [\"CWE-412\", 1], [\"CWE-215\", 1], [\"CWE-413\", 1], [\"CWE-359\", 1], [\"CWE-760\", 1], [\"CWE-334\", 1], [\"CWE-839\", 1], [\"CWE-475\", 1], [\"CWE-620\", 1], [\"CWE-406\", 1], [\"CWE-523\", 1], [\"CWE-910\", 1], [\"CWE-127\", 1], [\"CWE-189\", 1], [\"CWE-391\", 1], [\"CWE-226\", 1], [\"CWE-544\", 1], [\"CWE-467\", 1], [\"CWE-87\", 1], [\"CWE-84\", 1], [\"CWE-350\", 1], [\"CWE-17\", 1], [\"CWE-351\", 1], [\"CWE-204\", 1], [\"CWE-915\", 1], [\"CWE-538\", 1], [\"CWE-277\", 1], [\"CWE-598\", 1], [\"CWE-684\", 1], [\"CWE-182\", 1], [\"CWE-534\", 1], [\"CWE-329\", 1], [\"CWE-366\", 1], [\"CWE-260\", 1], [\"CWE-12\", 1], [\"CWE-470\", 1], [\"CWE-323\", 1], [\"CWE-1050\", 1], [\"CWE-155\", 1], [\"CWE-625\", 1], [\"CWE-690\", 1], [\"CWE-435\", 1], [\"CWE-939\", 1], [\"CWE-368\", 1], [\"CWE-302\", 1], [\"CWE-65\", 1], [\"CWE-784\", 1], [\"CWE-1103\", 1], [\"CWE-1244\", 1], [\"CWE-239\", 1], [\"CWE-506\", 1], [\"CWE-1088\", 1], [\"CWE-24\", 1], [\"CWE-1173\", 1], [\"CWE-420\", 1], [\"CWE-178\", 1], [\"CWE-279\", 1], [\"CWE-441\", 1], [\"CWE-460\", 1], [\"CWE-83\", 1], [\"CWE-759\", 1], [\"CWE-197\", 1], [\"CWE-214\", 1], [\"CWE-342\", 1], [\"CWE-1286\", 1], [\"CWE-265\", 1], [\"CWE-799\", 1], [\"CWE-340\", 1], [\"CWE-408\", 1], [\"CWE-767\", 1], [\"CWE-794\", 1], [\"CWE-320\", 1], [\"CWE-176\", 1], [\"CWE-253\", 1], [\"CWE-216\", 1], [\"CWE-385\", 1], [\"CWE-1284\", 1], [\"CWE-35\", 1], [\"CWE-590\", 1], [\"CWE-733\", 1], [\"CWE-920\", 1], [\"CWE-315\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1009,10 +1005,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:22.219705Z",
-     "iopub.status.busy": "2024-09-13T08:23:22.219292Z",
-     "iopub.status.idle": "2024-09-13T08:23:22.338503Z",
-     "shell.execute_reply": "2024-09-13T08:23:22.337898Z"
+     "iopub.execute_input": "2025-02-02T04:22:16.065431Z",
+     "iopub.status.busy": "2025-02-02T04:22:16.065121Z",
+     "iopub.status.idle": "2025-02-02T04:22:16.180801Z",
+     "shell.execute_reply": "2025-02-02T04:22:16.180207Z"
     },
     "tags": [
      "remove-input"
@@ -1079,10 +1075,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:22.341032Z",
-     "iopub.status.busy": "2024-09-13T08:23:22.340552Z",
-     "iopub.status.idle": "2024-09-13T08:23:22.344754Z",
-     "shell.execute_reply": "2024-09-13T08:23:22.344314Z"
+     "iopub.execute_input": "2025-02-02T04:22:16.182772Z",
+     "iopub.status.busy": "2025-02-02T04:22:16.182433Z",
+     "iopub.status.idle": "2025-02-02T04:22:16.186250Z",
+     "shell.execute_reply": "2025-02-02T04:22:16.185692Z"
     },
     "tags": [
      "remove-input"
@@ -1092,7 +1088,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:23:22.341929**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:22:16.183424**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1124,7 +1120,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVE2021.ipynb b/CVE2021.ipynb
index ba4b9d9c2a..804be6952f 100644
--- a/CVE2021.ipynb
+++ b/CVE2021.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:27.169871Z",
-     "iopub.status.busy": "2024-09-13T08:23:27.169698Z",
-     "iopub.status.idle": "2024-09-13T08:23:27.817269Z",
-     "shell.execute_reply": "2024-09-13T08:23:27.816678Z"
+     "iopub.execute_input": "2025-02-02T04:22:21.060562Z",
+     "iopub.status.busy": "2025-02-02T04:22:21.060395Z",
+     "iopub.status.idle": "2025-02-02T04:22:21.692588Z",
+     "shell.execute_reply": "2025-02-02T04:22:21.692009Z"
     },
     "tags": [
      "remove-cell"
@@ -101,10 +101,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:27.819951Z",
-     "iopub.status.busy": "2024-09-13T08:23:27.819282Z",
-     "iopub.status.idle": "2024-09-13T08:23:47.181636Z",
-     "shell.execute_reply": "2024-09-13T08:23:47.180989Z"
+     "iopub.execute_input": "2025-02-02T04:22:21.694699Z",
+     "iopub.status.busy": "2025-02-02T04:22:21.694315Z",
+     "iopub.status.idle": "2025-02-02T04:22:45.588989Z",
+     "shell.execute_reply": "2025-02-02T04:22:45.588437Z"
     },
     "tags": [
      "remove-cell"
@@ -227,10 +227,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:47.184284Z",
-     "iopub.status.busy": "2024-09-13T08:23:47.184078Z",
-     "iopub.status.idle": "2024-09-13T08:23:47.190749Z",
-     "shell.execute_reply": "2024-09-13T08:23:47.190174Z"
+     "iopub.execute_input": "2025-02-02T04:22:45.591443Z",
+     "iopub.status.busy": "2025-02-02T04:22:45.590914Z",
+     "iopub.status.idle": "2025-02-02T04:22:45.598601Z",
+     "shell.execute_reply": "2025-02-02T04:22:45.598119Z"
     },
     "tags": [
      "remove-input"
@@ -240,7 +240,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **21950**<br />Average CVEs Per Day: **60.3**<br />Average CVSS Score: **7.09**"
+       "Total Number of CVEs: **21950**<br />Average CVEs Per Day: **60.3**<br />Average CVSS Score: **7.02**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -275,10 +275,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:47.193022Z",
-     "iopub.status.busy": "2024-09-13T08:23:47.192619Z",
-     "iopub.status.idle": "2024-09-13T08:23:47.201831Z",
-     "shell.execute_reply": "2024-09-13T08:23:47.201231Z"
+     "iopub.execute_input": "2025-02-02T04:22:45.600543Z",
+     "iopub.status.busy": "2025-02-02T04:22:45.600359Z",
+     "iopub.status.idle": "2025-02-02T04:22:45.610087Z",
+     "shell.execute_reply": "2025-02-02T04:22:45.609476Z"
     },
     "tags": [
      "remove-cell"
@@ -310,10 +310,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:47.204218Z",
-     "iopub.status.busy": "2024-09-13T08:23:47.203908Z",
-     "iopub.status.idle": "2024-09-13T08:23:47.882637Z",
-     "shell.execute_reply": "2024-09-13T08:23:47.881985Z"
+     "iopub.execute_input": "2025-02-02T04:22:45.612134Z",
+     "iopub.status.busy": "2025-02-02T04:22:45.611798Z",
+     "iopub.status.idle": "2025-02-02T04:22:46.287064Z",
+     "shell.execute_reply": "2025-02-02T04:22:46.286466Z"
     },
     "tags": [
      "hide-input",
@@ -323,7 +323,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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CCCGEEEIIIYQQwgCpUBdCCCGEEEIIIYQQQgghhBBCCCEMkAp1IYQQQgghhBBCCCGEEEIIIYQQwgCpUBdCCCGEEEIIIYQQQgghhBBCCCEMkAp1IYQQQgghhBBCCCGEEEIIIYQQwgCpUBdCCCGEEEIIIYQQQgghhBBCCCEMkAp1IYQQQgghhBBCCCGEEEIIIYQQwgCpUP8/ZNIkZ9TqEvj7uwJQurQ1anUJg0u3bg5GP76VFXw5DsKOQvIluH4Ypn2U+/5LvgJ1GHw80OihZGna1IOdO9sQEfEBavUQunQprbd91apmqNVD9JaAgLamC+g5Jk1qhFo9FX//1mY6vnnTz81zoI7NuSz6TruPT304+Bsk3YH4cDj6B9jbGz2ULJ6esG4dxMRAcjKEhEC9etrtq1aBWq2/BASYJpabl0GdnHNZ5K9sHzoIDgdC/H1lvauraeLINHlyGf7+uz4JCb5ERTVjx46aVKzoqLdPuXIObN9ekwcPmhEf78vmzTUoWjSfCWIpx99/NyIhoTVRUS3ZsaMuFSs65djPx8eNgwcbkJTUmvj41hw92hB7e9Nc5iwp7WQ3aVIh1Ooq+Pu7Z62zs1OxaJE7MTEVSEysxK+/FqdoUWuzxTN0qBuHD5ciPr4ianUVXF1NeztiSb/XjBlWqNW2esvlyzYAlC5Njm2ZS7duKtMEpGPSJFfU6jL4+xc0uH3PnqKo1WXo0sXR4HZj8fSEdWshJhqSH0NIsP7v5eQECxfCndvK9osXYPhw08TStGlRdu5sTkSEH2p1b7p0KaG3vWhRe1at8iEiwo/Hj3sSENACLy9nk8RiaWnH0q7rN8+AOjrnsuhbZbt7UVi7GCIvQtItOHMQunY0TSyGTJ7chL//HkJCwmSioiawY0dPKlYs9OYC4MV54YwZcPkyJCVBbCzs3w8NGpgmlhEjPAgOrk18fEPi4xty8mQN2rVzA6BAARsWLChLaGhdkpN9CA/3Zv78sri4mO66ld8R/MfDrZ2QfAxOrADvqtrtM4bC5a2Q9CfEHoT9i6FBNZOFw83zoE7IuSz6Pue+e7Yp27p0MF082c2Y0RS1eqrecvmyiTLibKys4MvRELYPks/C9UCYNkJ/HydHWDgV7hxS9rm4C4b3NF1MLzq3AGbOhHv3lO3794OXl/niMeW53rQi7BwDET+AeiV0qaO/3a8u7B0PMQuU7bVKGv4en/Jw8FNIWgLxi+HoJLC3NU6Mnp6wbg3E3IfkBAj5V//vU7QorFoBEeHwOB4C/jDe79W0GuycBhGrQL0TujTMuc/MXnBvNSRvhf1fglexnPu84w1/zVX2id0IOz4zTnwvygt1LZkM6tPw8QfGOXZ2lnaujxhRmODgKsTH1yI+vhYnT1akXTsXAEqXzodaXdfg0q2bm2kC4uXynsqV4fffIS5OOef//htK5nLevYqmDrDTEyLKgboidMn2eK6uaHiZUEDZ3twh93287V4jHiPkPYcnKtt0lyV9Xz2W3OR3BP+P4dZ2SD4MJ5aCdxXt9lVTQX1Sfwn4wXjHz86c6ed14nlTz+xWVvDlWAg7BMnn4fpBmDZKf59V34L6mv4SsML4sQDcvAbq1JzLogXKdjs75XXMfUh8BL9uVq5jpmJlBV+OgrAASP4bru+GacP09ylaEFbNgogD8DgIApaAVynTxWQpaQdgxgwH1OqCesvly9oCXDs7WLTIkZgYNxITC/Drr/kpWtR0ZT0zZtihVrvoLZcvKxl2gQKwYIE9oaFOJCc7Ex6en/nz7XBxMVk4z40H4Kef7Ll+PT/Jyc48eJCf335zoFIl45UXNq0KO6dAxM+g3g5dDNz/znwf7q2A5E2wf0bO+7AKxeC3yRC9GuLXw7HZ4Fv91WNpPmMGM9RqvWXU5csA2BcoQPsFCxgVGspnycmMDQ+n3fz52On8OO41a9J140bG3r7NZ8nJfHjpEg3HjHn1QJ7DnPeFAwYMQKVSMWLEiBzbRo0ahUqlYsCAAcY52CuyMctRxSvz9rZl+HAngoOfZa27cycdD497evsNG+bEp586ExDw1OgxTBoBI3tD/0/h4lXwrqncRMQnwsI1+vu+2wZ8akPEfaOHocfJyYbg4IesXHmFHTsMV1QHBNxh4MA/s96npKSbNigDvL2LMXx4XYKDo974sZXjmz/91G8F1jrloNWrwIEdsPV35b1PfQjcCl/7w+jJkJYGtapDRobRQwHAzQ1OnIDDh6F9e4iOhgoV4NEj/f0CAmCgTqOQlBTTxFO/aba/T1U4sBu2blfeOzpA4H5l+WaWaWLQ1by5G4sX3+X06QRsbFTMmePFvn11qFr1FMnJGTg6WrFvXx2Cg5No2fIMALNmlWfXrlr4+JxGrTZmLAVZvPg2p0/Ha2KpyL599ala9RjJycr57OPjRmCgN19/Hcbo0ZdIS1NTq5azSdKPpaUdXd7e9gwf7kZwsP457O/vTocO+enePYL4+AwWLXJn+/YSNGkSbpZ4HB1VBAY+JjDwMd98Y8KnPSzz97pwQc3bb6dlvU/TvLxzBzw8UvX2HTbMik8/tSIgwIgnlQHe3vkYPjy/3nVC19ixLkY9r3Pj5gYnjmt+r3cM/14//AAtW0CfvnDrFrRpAz8uVioqdu0ybjzKfUYcK1feYMeO5jm2//ZbM1JT1XTpcpSEhFTGj6/CgQOtqFp1V1b+ZEyWlHYs7bpev022eCrDgW3aeNYuAjdX6NwHYmKh13uw5Wfwbg3nzpsmJl3Nm5dm8eLTnD59DxsbK+bMacm+fX2oWvVHkpNTX/wFefQyeeHVq/DRRxAWBg4OMG4c7NunVCTFxBg3nrt3U5g8OZxr156gUkH//kX5/fcq1KlzDpVKhadnPiZMuMmlS08oXdqOn34qj6dnPrp3v2LcQDR+ngbVy0PfGXAvGvq0hwOLoWoP5f3V2/DRXAiLAAc7GPcB7FsEXn4QE2f8eOr7Grgv3Albd+jvN3YUbyRvNuTChQe8/fbGrPdpaSY6ubOZNARGvg/9p8DF6+BdHVbNhvgkWLhe2eeHidDSB/pMglsR0KYx/Dgd7j2AXYeNG8/LnFsTJ8KYMdC/P9y8CbNmwd69ULWq8e83zH2uO9lB8B1YeRx2GGh872QHx6/BltPwcy4N733KQ+A4+HoPjN4AaRlK5VeGEdK6mxucOAqHj0L7Tpq/j5f+3+e3bZCaCl3eg4QEGD8WDgRC1ZpKQX1eONlB8E1YecBwJfjErjCmI/SfDzejYFZv2DsTqo6CFM2lomsjWP4RfLYODoWAjTVUN1JFxYvywkzv+oJPDYh4YJzjGmJp5/rdu6lMnhzBtWspmutWIX7/vRx16oQSGvoUD48Qvf2HDSvMp5+6ExCQYNxANF7mXC9XDo4fhxUrlIY0CQlQrRo8NUJxj5MKglNgZQLs8My53eOG/vv2TrDCHbYlKe9PPsm5z6zC0MoB/nmNfNEYeQ/AsqPwuc61Ntnwo9Fr+XkyVC8Hfb/UnF/t4MB8qNoL7mny3oBTMHC29jMpJrpFNHf6eZ144M08s08aBiM/gP6T4OI18K4Bq77WlH2v1YnlKAycrBOLEdOKrvqNst0TVoMDe2Hrr8p7/++hQ3vo/j7EJ8Ci+bB9KzTJ+ehqFJMGwcge0H8aXLwB3tVg1ZeavFlzW/jbfEhNgy4fQ8JjGN8XDiyDqn6Q/MS48VhS2sl04UIab7+dmPU+Tfv4jr+/Ix062NK9exLx8WoWLXJi+/b8NGmSaOCbjBVPOm+/rb2ByYzH09MKT08VEyakcOlSOqVLW/HTT/Z4elrRvbuRf6iXiAfgzJl0NmxI5fbtDAoWVPHFF3bs2+dI2bJJRilHcLKD4Fuw8hDsmJRz+0Q/GNMB+i+Amw9g1gewdzpU/VibH/8xFa5FQssZ8OQZjO0If3wG5T+EqLhXi+fBhQusffvtrPcZmj+Gs6cn+T092T9hAtGXLuFaujQdf/oJZ09PtnbvDkCxevVIfvCAHX36EH/nDiXfeotOy5aRkZ7O6cWLX+Ovk5O57wtLlizJL7/8gr+/Pw4OSufPp0+fsnHjRkqVMmErnReQCvX/A5ycVGzYUJChQx8xbZq2JUpGBkRF6ecmfn4ObNnyhMePjV+y8lZd+P0A7NE8mIRHwAedoEEt/f083WHhDGg7AHabqIVepsDAuwQG3n3uPikp6URFme5C8CJOTrZs2NCFoUN3M21aEzMc3zLST8xD/feTx8L1MDh6QnnvPxsWLINv52v3uXrd6GFkmTRJqYAYNEi77tatnPulpEDUG2gHkb3wavIncP0GHD2mvJ+vuRY2b2r6WADatz+n937AgItERzenXj0Xjh2Lo3FjN8qUcaBOnSASE5VKo/79L/LokS8tWxbk4MFYI8byT7ZYzhMd3UoTi3KX7O9fhQULwvn227Cs/a5efWy0GHRZWtrJpJzrngwdGsm0aYWz1ru4WDF4sBu9ekVw+LBy0zpwYCShoeVp2NCeoCATPBE/Jx6A+fOV3615c9P2dAbL/L3S0gwfS8mX9df5+VmxZYuax6ZJzkDmb1WEoUMfMm2aW47ttWrl45NPXPD2juT+fdP+Zlm/12Dtuuy/11uNYM1aOHpUeb98OQwfpvSuM3aFemDgPQID7xncVqGCM40aFaFatT+4dCkegJEj/+b+/ff44IMyrFhxw+Dn8sKS0o6lXddzxDMGrt+EoyeV9281gJGfwul/lfezf4Bxw6FerTdTod6+/Qa99wMG/E509KfUq1eMY8dum/z4L5MXbtqk/378eBgyBGrWhEOHjBvPH3/ol3JNm3abkSM98PFxZuXKB3Trpq04Dwt7ytSp4axfXxFra0g3clsVezt4rwV0mQDHNOlj5nLo1BRGvgfTf4JNe/U/M34eDHkXalaAQ6eNGw8YSM/jNefXce26WjXgk4/AuzncN+G5lZu0NDVRUSa8OOXirdrw+yHYo2kvHX4PPngHGtTQ2acOrPkNjmp+m+VbYXgPZR9jV7K9zLk1dix89RXs3Km879dPybPffRc2b37z8ZjyXA88ryy5WX9K+bf0cwbo8H8fFhyEb/do1101UkP9SZ/CnbswaIh2ne7fp0IFaOQD1WrBpUvKupGj4P5d+OB9WLEyb8cPPKssuRnbGb7aAjuDlPf9/CFqLbzrA5uPgbUVzB8Kn66Glfu1n7t8J29xwcvlhQCeRWDhBGg7Bnb75/24ubG0c/2PP+L13k+bdo+RIwvj4+PEpUtPiYpK09vu5+fGli2PePzYNI2NXuZcnz0b9uxR9s0UFoZRBCYrS26isl2ru+SHw0/gpqZCIjXbPjYovdwXxr1mPEbIe0CpQI8yQRsI+3zwni90mQzHzinrZq6ATo1hZFeYvkxZl5IKUcYrSsmVudPP68QDb+aZ/a268PtB2HNEeR8eAR90hAY1s8XyDKKM3ODUkBxlhRPh+nU4+ie4uMDggdCrLxzWxDtwCIRegIYNISjI+PG8VQt+Pwx7NGWV4ffgg/bQQNNDt0JpaFQLqvnBJc3j8Miv4P5hZb8V240bjyWlnUzKM3vOcnUXFxWDB9vRq1cShw8r14yBA5MIDXWjYUNrgoJM0wEwt3guXsygWzdtfUlYWDpTp6awfr2DSZ65XhQPwPLl2lZE4eFqpk1LISQkP2XKqAgLy3tdReC/ypKbsR3hq19hp+a+ot8CiFoJ7zaAzSegkDNU9ITBi+G8pn/S5HUwqr3SuPFVK9Qz0tJ4bCBhRl+8yNZu3bLePwoL49DUqfitX4/K2hp1ejrnVq3S+0zczZuUbNSIKl27GqVC3RLuC+vWrcuNGzfYvn07vXv3BmD79u2UKlWKsmXLZu2XkpLCp59+yi+//EJCQgLe3t74+/tTv359AI4cOUKLFi04cOAAkyZN4tKlS9SuXZtVq1ZRqVKlV45Lhnz/P2DxYjd2737KwYPPbz5Vt64tderkY8UK0xRsnDwLrd6CCpr0WrMyNPFWWuVlUqlg3fcwdzlcumaSMF6Zr28xoqJ6ExrajR9/bEzBgq8xflQeLF7cjt27r3Pw4K03elzt8S0j/eiytYU+3WGlpmy5SGHw8YYH0XAiEO6HwpFd0NjAEHjG0rkz/PMPbNmi3FSdPasUJGXn66tsDw2FH3+EgoZHQjYqW1vo8z6sXPvifd8UV1el/VVsrHJzY2dnhVqtJiVFW0Dw9GkGGRlqmjRxe6OxFCmSDx8fNx48eMaJEz7cv9+SI0ca0rhxAZMc31LTzuLFHuzencTBg/olG/Xq2ZMvn4oDB7Tn9pUrzwgPT6VRI9NVjuYWz5tmib9XhQoQEWHDjRs2rF9vneuweXXrQp06KlasMG2vv8WLC7F7dzIHD+ZsXOHgoGLjxsKMGvWQqOwlYybQuRP8cwa2bIao+3D2TM7f6+QpZT9PTW8YX1+oWFHpXfcm2dkpXQWePtX+XdRqpSFfkyZFTHJMS0s7mSzhup4jnm6wUtt5lpN/Q893oYCbcr/a813lIfHIiTcTU3aursr9aGzsm2n0+bJ5YSZbWxg2TBniMzjYtLFZWUHPnoVxcrLm1CnDvTNcXW1ISEg3ScGOjTXY2MDTbD2LnqRAk9o597e1gWF+EJcIwVeNH0+O49lCn56wcp12nYMDbFwBoz6BKBP2EH2eChUKEBExhhs3PmT9+i6ULGnC8SF1nDwHrXyUAluAmpWgSV0IOKazz7/QuQV4agbB8W0AFcvAPhOc7y86t8qWhWLF4MAB7bqEBKWQu1GjNx9Pdm/yXH8ZRZyVHuoPEuDEZ3DfH45MgsYVjPP9nTtq7jM2QVQEnD0NQ3Qa8dlpigp0e2Aq13Zo0tg4MeSmrDsUKwgHdH6HhGQIugqNNGV9dctDicJKQ7qz85Sh4ffMgGpG6KTzMnmhSgXrZsLc9XDJRBVrmSztXNelXLcK4ORkxalTOctP6tZ1oE4dR1aseGjg08bxonNdpYIOHZQRKQIDlX3++gu6dDFZSLkqag0dnGBFfO77dM4PhaxhlWk69L+03j4QPR/Ofwlz3gMHI81oZ2OjOb+yFcs9SYEmOhW1vnUgajeEboIfJ0BBE11aLS39WNIz+8mz0KoRVCijvK9ZGZrUg4A/9ffzbQhRf0HoXvhxJhR0M34s2dnaQp9esHK18r5eXciXDw4c1O5z5QqEhyuNw0zhZDC0aqiTN1eEJnUgQNPo005zzuimdbVaaYDQJNtUDMZgSWknU4UK1kREuHHjhivr1ztRsqRS/VavnrWmbE7bAOvKlQzCw9Np1Mh0fV4rVLAiIiI/N27kZ/16B0qWzH2IeVdXFQkJapNVpr9KPI6OMHCgLWFhGdy5Y/ohucq6Q7ECBu7Drmnvwx4mQuhd6OcLjnZKQ8fhbZWK9DOv0Z+iYIUKjI+IYMyNG/itX4/Lc+bUsHN1JSUhAfVzfhw7V1eexBqnVZal3BcOGjSIVTqNB1auXMlA3eEmgIkTJ7Jt2zbWrFnD2bNn8fLyom3btsRm+1tMnTqV77//nn/++QcbGxsG6bbEeQVSoW7hevZ0oG7dfEyZ8pw7T43Bg524dCmVU6dMM87MN0vglz8gdD88uwL//gHzVsHG37X7TBoBaemwYLVJQnhlgYF36dfvKK1a7WHSpNM0b+5BQEBbrKxMPxctQM+eValb14MpU4zcPPqlj2856UfXux2UYVdXa3pHlCuj/PvFJFi+Ftp1h7MhyryrXuVME0O5cjByJFy7Bm3bwpIlsGCB0mMkU2Cg8r5VK6XVY/PmyjBBVibOOd/tpAxbtHq9aY/zslQqmDevIsePx3HxolJg8Ndf8Tx+nMG331bAwcEKR0cr/ve/itjYWFGsmPHnUdePpQrHj8dy8aIyXly5ckql8BdfeLF8+R3atfuHs2fjOXiwAV5exq8wtsS007OnC3Xr2jNlSnSObR4eNqSkZBAfr1+xFhWVhoeHaeajfV48b5ql/V5BQWoGDEinXbs0Ro5Mp2xZOHbMhvz5c+47eLAVly6pOXXKdA8PPXs6aa4TcQa3+/sX5OTJFHbufDOVfuXKwcgRcO06tG0HS36CBfP1f6/Ro5VeYxF34VkKBAbAqI/g2LHcv9cUQkPjCQ9/zNdf18bNLR+2tlZMnFiVkiWdKFbMwejHs7S0o8sSrut68byjHw9AjyFKIVTsNUiJgKXfg98AuHHT9PFkp1zL2nH8+G0uXnwz+eTL5IWgFJ4mJiqVSePGQevW8NBE9QHVqzuSmOhDSspb/PRTefz8Qrl8OWdeU6iQDdOnl2DZMtPMJZWUDCdDYPpgKFZYyft7t4dGNZT3mTo0gcSj8PSEMuR764/g4YtvsfPs3Y6a9KwzyIH/13AyCHbuyf1zphQUdI8BA3bRrt0vjBwZSNmybhw71o/8+U13D5jpm+Xwyx4I3Q3PguHfbTBvHWz8Q7vP6NlKr6iII8o+gctg1Cw4dsb48bzo3PLwUP7N3vkkKkq77U3Gk+lNnuuvopymPdoXXWD5n9DOH86Gw8EJ4GWEWYLKlYORwzX3GR1gyVJY4A/9NPMkh4YqFRFff6U8j9nawsQJypzBxUzwe+ny0LQFzt67KSpOu62cJoYvPoCvNkPHWfAoCY7MgQIG7gdexcvkhZP6a8p7fsnbsV6GpZ3rANWr25OYWIuUlDr89FNJ/PzCuHw5Z4PUwYMLc+nSE4OV7cbyonO9aFFwdobJk5VnnTZtYMcO2L4dmjUzWVgG9XeBxAzYnpT7PoNdYW8yRKTlvo+pbQyCPsugxXfKlBN9G8H6ocb57qRkOHkepg/UOb/aQqPqUEzTaz4wCPrNglajYdISaF5HmUPdFM+klpZ+LOmZ/Zul8MtupaL82SX493eYtxo27tSJ5U/o9ym06geT5kLzBhDw8xsoK+yiKSvUdL7x8FAafMVnux+NegAe7qaJ4ZsV8EsghP4Oz87Av1tg3nrYqLknDb2p9Fr/+mNwc1Yaok4cCCU99O+rjcWS0g5AUFAaAwYk0a5dIiNHJlO2rBXHjjmTPz94eFiRkqImPl7/GT0qSo2Hh2kST1BQOgMGPKFdu2RGjnxC2bIqjh1zMliGUKiQiunT7Vi2zHTTkb1MPCNH2pKY6Mzjxy60b29D69aPSTX9DGl4uCn/RmU/n+K092EAb8+EOmUhcQM83QzjO0G7WRD3ipf8iKAgfh8wgPXt2rF75EgKlC3LwGPHyGfgx3EoVIhm06dzdtmyXL+vRKNGVOvZkzPP2edVWMp9YZ8+fTh+/Djh4eGEh4dz4sQJ+vTpk7X98ePHLFmyhLlz59K+fXuqVq3K8uXLcXBwYMUK/aGzZ8+eTfPmzalatSqTJ0/m5MmTPH2NeUxkyHcLVqKENfPnu9G6dcwL5/awt4devRyZNct0zTl7dIDenaHXWGUemdpVYN50uBcFa7dD3erw8QCo28lkIbyyzZu1zWMuXHhESEgsYWE98fUtxqFDhodwNZYSJZyZP781rVtvMsu87ZaWfnQN7gMBByBSUy6aeROzdDWs1vQmO3ceWjWDQb3hMxPMGW5lpbRinDpVc7xzUL06jBgBazU3p7pDMF64ACEhyhBXvr7GH/pU1+D+ELAPIiNNd4xXsXhxZapXz0+TJtqh12NiUunePYQlSyozZkxJMjLUbNoUxZkzCSabH1eJpZomFu3YVVnpZ+kdVq+OAODcuQRatSrEoEEl+Owz43Yfs7S0U6KEDfPnu9O69W1SUsw0kaoFx2Npv1dgoPZvcv68mqCgdMLDbejRQ8XKldptSr5sxaxZpjuhlOtEQVq3vm/wt+rUyYGWLe2pU8e010tduf5ew7W/1+jR4OMDnTorhd7NmsHiRcoc6gcP5vrVRpeWpqZr1z9ZsaIhjx51Jy0tgwMH7rNnTwQqlfEb7llS2snOEq7revH0hoCDEKlTgTVrCri5QKuuyhzq77ZX5lBv2gkuXDZtPNktXtyB6tWL0qRJHscOfgUvkxeCMv9g7dpQuDAMHar09mjYUJmP0NiuXHlC7drncHW1plu3wqxZU4Hmzc/rVao7O1uze3dVLl16whdfGGFM41z0/RxWfg73ApRhCM9egU37oF5l7T6H/4HavaGwGwx9F7bMgYYDIfpRbt9qHIP7QcB+7fnVqT20bA513vxMUlkCA7VdMM6ff0BQUATh4R/Ro0cVVq40bTfnHu2gd0fo9akyr3LtyjBvijJn8lpNQ+/RfcCnFnT6UCnUbeYNi6crc/0dPGXceF723HpTLPFcfxWZ7d6XHoHVmt5u525DqyowqCl8ti2P32+l9FCfOl3z3eeU+WhHDIO165Tzv2sPWLEMHkUr7w8chD0BSmMoc8v8+8zeCts1aXngfLi7Cro3hmV7c//sy3heXli3Mnz8PtTt8+LvMQZLO9cBrlxJoXbtUFxdrejWrQBr1pSmefNrepXq9vYqevUqwKxZpmkElulF53rmvdjvv8O8ecrr4GB46y1lnz//NPStpjHIFTYkQG6PhsVtoK0j9DBz+cdyndE3L0RAZBwcmqg09AkzQt7Y90tY+Rnc26k5v67CpgNQT9PzcbPOSCYXwiDkOoT9qvRaP2TkRiKWln4s6Zm9xzuasu/xOmXfUzV5zw5NLLt1YrkKIVcg7JDSa/2QCfKeTIMHQkCgecsKe7SF3h2g12RlDvXalWDeRCXfXatJ213HwYqZ8OiE5joapAwRb4rrqCWlHYDAQG3N7/nz6QQFpREe7kqPHvl4YobZaAMDta2Uzp+HoKBkwsOd6dHDlpUrtbE6O8Pu3Y5cupTBF1+YboL5l4lnw4ZU9u9Pp1gxFRMm5GPLFkcaN35s0nnvX8XiofAgHppOU+ZQH/I27PoM6k+E+6/wXHg9MDDr9YPz57kbFMTY8HCq9ejBvyu15QT5nJ3ptXs30ZcuceSLLwx+V5Fq1Xj/9985OnMmYfv3G9zndVjCfWGRIkXo0KEDq1evRq1W06FDBwoX1rbOuXHjBqmpqTRurB1KytbWlgYNGnD5sn5BT82a2iFhihUrBsCDBw9eeT526aFuwerVs8Xd3ZqzZ4uSmlqc1NTi+PraMWZMflJTi+u1pOrWzRFHRxVr15puaN25k5WWepv/gAtXYP1v4L8SpoxUtjetD0ULwe3jkHpVWcqUgO8/g5tv8Gb9eW7eTCQ6+gleXqYfkrBevWK4u+fn7NnBpKZOITV1Cr6+pRkzpj6pqVNM3kve0tJPplIl4O3m8LPOsJWZBYSXrujve/mqsr8pREZq58XLOt5leF4eevOmUsjk5WWamABKlYS3W8LPq013jFexcGElOnYsTIsWZ4iI0L972b8/Fi+vkxQt+ieFC/9Jv34XKV7cjrAw09wlLlxYlY4di9Cixd9ERGgLLSIjlbguXdJv8n758mNKlTJ+L1FLSzv16tnj7m7D2bNlSU2tTGpqZXx9nRgzpgCpqZWJikrDzs4KV1f9S767uw337xu/sc+L4jF1q+3sLO33yi4+Hq5eVePlpX9N6NZNhaMjrF1rukrRevXsNNcJT1JTS5OaWhpfX3vGjHEmNbU0rVs7UL68DXFxpbK2A2zbVoTDh03TTSsyEi5lq9zU/b3s7WHObBj/Cfzxh/IQtngxbN4CEz4xSUjPdfZsLHXqBODquoVixbbTvv1hChWyIyzsOV1wjMScaUeXpVzX9eJpBj/rjPJSrgyMHgKDPoZDxyDkInz5P/jnHIx6vVG+XtvChe3p2LECLVqsISLC8PDmpvCyeWFyMty4oQxHPWSI8uA8eDAmkZqq5saNp5w9+5jPPgsnOPgxH3/smbU9f35rAgOrkpiYjp/fZdLSTNdIKywCfIeDU1Mo2REaDlB61IRFaPdJfgo37kLQBRjyldIaf7CJh84tVRLe9oWf12jXtWwO5ctC3B1IjVUWgG3r4fBug19jcvHxKVy9GouXl2mm29E1dwJ88zNsDoAL12D9LvBfA1M0vQjt7WDOWBj/LfxxBM5fhcUblf0nDDB+PC86t+5r8kP3bD3F3N21295kPJne5Ln+KiI1vYIuZWvLdzkSShlheFaD9xmhyrmW6exZqOMNroWgWElo3xEKFYIwE49oklkI6+6mv97dTbstUvPvpdva7c/SIOw+lDLCbDPPywub1oGiBeD2Lkg9pSxlPOH7j+Hm7y/86ldmaec6ZF63Ujh79gmffXaP4OAnfPyx/h++W7cCODpasXataSfCftG5HhMDqamv/hxkbE0coHI++Pk5I7oMdIGH6bDT9LfPryRI0z/HGKNjgOb8GgVOLaGkHzQcArbWEJZL2+Wb95RGe14muHe2tPRjSc/scydpyr53K5Xl638H/9UwZfhzYrkD0bHgVdq4segqVQrebgU/67THvX9fmarE1VV/X/eicN9E84XPHa/0Ut8cqMmb/wD/dTBF5x7i7GWo0wNc34JiraD9SCjkBmF3jR+PJaUdQ+Lj1Vy9moGXlzX372dgZ6fC1VX/+d3dXcX9+2/m2V0pQ8jAy0tbMJc/PwQGOpKYqMbPL5m0NzhSiKF4EhLg+vUMjh1Lp1u3J1SubIWfn+n7BN+PU/51z34+uWnvw1rWgI714P0f4GQo/BsGo5Ypw6D3983b8VPi43l49SoFdRJmvvz56RMYyLPERDb7+ZFh4McpXKUK/Q4e5OyyZRybPTtvQWRjKfeFgwYNYvXq1axZs+a1h2kHpaI9U2YnmIzX6BUoPdQt2MGDKVSvrv+UvWpVQUJDU/n220S9XqCDBzuxc+cTYmJMlwE7OpCj52l6hrbl4rodcCDbXFV7V8O632DVVpOF9UqKF3ekUCF7IiNNX3F88OAtqlfXH2Zj1aqOhIY+5NtvT5GRYdqem5aWfjIN7K3MqbpbZ67bW7ch4h5UyjY3XsXySo83UzhxAipVyna8ikpvx9wUL64UppiyNejAfpq/T4DpjvGyFi6shJ9fEXx9z3DrVu5DoDx8qLQibNGiAEWL5mPnTuN3bVm4sCp+fu74+gZx65Z+hf2tW0+IiHhKpUpOeusrVnQiIMD4sVha2jl4MJnq1fUnq1m1qhihoc/49tuH3LmTyrNnalq1cmL79kRNvPkoXdqWU6eMnxe+KB5TjmBgiKX9Xtk5OUH58irWrdO/JgwebMXOnWpiYkx37IMHn1C9eoTeulWrCmuuE/HExGSwdKl+hd+FC8UZNy6WXbtM03DmxAmoVFF/ne7vZWurzBOX434k3fRD7D1PQoKSD3p5OePtXZDp000/Ea05044uS7muZ8XzATyIgd06DbMdNW2rnncf+yYsXNgeP7/K+Pqu4datuDd3YF4vLwTl75M5p7CpKcdSHmydna3Zu7cqKSlqOne+/MZGPEl+qixuztDWByYufEG8trlvN4aBfTTnl06v029+0K9gB7gQBOOmwC4z3T86OdlSvnwB1q07b/JjveiZ1NYG8tlC9kctU53vLzq3bt5U7idatdLOUe7srPQGX7LkzceTmzd5rj/PrRiIeASViumvr+gOAUZIXidOGrjPqADht3Pum6AZvM3LC7zrwfQZeT/+89yMgshYaFULgjWV984O0LAiLNGc22euK3NZVioBJzQNA2ysoYw7hBvxscdQXrjtEBz4W3+/vQtgXQCs2mW8Y2eytHPdECsrFXZ2+gcbPLgQO3fGExNj2hqJF53rqalw+vTr5QfGNNgF/nkKIc+ZWXCgC6xNADOO9m5QbU2FXORzGgO8Dr3zqyFM/NHwfsWLQCFXiDTBdByWln4s6Znd0d5AvvKCZ83iHkqFceQD48aia2B/ePAAdutM93PmLDx7Bq1awnZN7/mKFaF0aTj1l2niMPj3ydCOoKIrQdNIxqsUeFeF6YuMH48lpR1DlGd2K9aty+DMmXRN2ZwN27enamK1onRpa06dejM5oDYe5Ud0doa9ex1JSYHOnZPfeC/w7PFkp1IpS+YzoindjFIaLraqCcG3lHXODtCwAizRdCZ31NwrZz8HMtR5v/ewdXKiYPnyhKxTeirkc3amz969pKeksKlzZ9IN/DhFqlal36FDBK9Zw6Fp0/IWwHOY+76wXbt2PHv2DJVKRdu2bfW2lS9fnnz58nHixAlKl1ZaNaWmpnL69GnGjh1r3EA0pELdgiUlqbl4UT9DffxYzcOHGXrry5e3plmzfLzzjmlLTncdhKkfwu17cPEq1KkG4wfByl+V7bFxyqIrNQ3uR8NVE7XmdnKy0ettXrasM7VqFSQ2NoXY2BRmzKjLtm03uX//CeXLu/Dddw24fj2BvXtN0Cwum6SkZznmxXz8OJWHD5+8kfkyLS39gHIRHNgL1vyi3JDqmrsIZk6G4AvKsLD9P4DKFaDbANPE4u8PJ0/ClCnKEIcNGsCwYcoCykV9xgzYtk1p9Vm+PHz3HVy/DnvzOJReblQqGNgX1qzP+fdxd1fmQPIqr7yvUQ0Sk+D2HXhkgqFGFy+uRK9eHnTpEkxiYjru7sqcmPHxaTx9qpRsDBhQjMuXHxMdnUqjRq7Mn18Rf//bXL1q3EraxYur0quXJ126nCUxMc1gLHPn3mTmTC+CgxM5dy6B/v2LU7myE926/WvUWMDy0k5SUgYXL+rfWD1+nMHDh+lZ61esiOOHH9yJjU0nISGDhQvdOXkymaCgV58rxhjxuLtb4+Fhg5eX8lvWqGFHYmIGt2+n8uiRcWvcLe33mjvXil271ISHq/H0VDFzphXp6bBpk/b/Xb48NGum4p13TDtdiHKd0J+MSnudUNZHReWM4fbtdG7dMs0Dn/88OHki2+81FIZpegQkJsKRIzD3O3jyRHlQbt5cmft0vAl6qCv3Gc5Z78uWzU+tWgWIjU3hzp1kunUrRXT0U27fTqZGDTfmz6/Hb7/dZf9+43c7tKS0k8mSrutZ8XwAazbrxxN6Da6FKfOmT5gBDx8pQ763bg4de5suHl2LF79Dr1416NLlFxITU3B3VxqBxcen8PSp6QtQXpQXOjoqQyXu3KkULhUuDKNGKQVOW03QMHbOnNIEBDzi9u0UnJ2t6dWrCL6+rrRtexFnZ2v27auGo6MVffqE4uJijYuLNQDR0akmaZjVxkdJP1fClZ5gcz+G0FuwaqdScDh1EOz8EyJjlCHfR3VXCrq3mnCaCZVKabCyZqN+eo56oCzZ3b4Dt95QJcncua3Ytesa4eHxeHrmZ+bMZqSnZ7Bp06UXfziPdh2GqcPhdqQyDHSdKjC+P6zcrmxPfAxH/lZ6tz55qgwD3bw+9Ous9GQ1thedW6AMlzttmjK/582bMGuWMk3Jb7+9+XhMfa472en35ixbGGqVhNjHcCcWCjgpPc093ZTtlTQD3tyPhyhNBfbcQJjZBYJvw7k70L8xVC4G3XKpdHoV/gvg5J8wZRJs+RUa1IdhQ2DYSO0+3d5Teq7dvgM1qsP8H+C332G/ERqEOdmDl05jgbLuUKssxCbCnRiYtxOm9YBr95SC3Vm94V4s/KapGEl8Aj8FwswP4E60Uon+qZ+ybevxvMf3vLwwLR1is1UspqbB/Ydw1QR5j6Wd63PmeBIQkMDt289wdraiV6+C+Prmp23b61n7lC9vR7Nm+XnnnRvP+SbjeJm8Z+5cZajjP/9Upnlo1w46dVKGOc4rJxVoHuUAKGsLtewgNh3uaG5rnK2guzN88pzir5YOUO4FPdhfKp485j3likAvH9gTAg+ToGZJ8H8fjl6B80YqPmzTEFTAldua82sUhIbDqj/AyQFmDIJtR5Rzqnxx+G4UXL8Le4Ne9M2vztzp51XjeZPP7LsOw9SRmrLva1Cnqn7Zt5MjzBgN2/Yq5d3lS8F3E+F6OOw1Qj5siEqlVKivWad/T5iQACtWwQ9zITYWEhJh4Tw4eUoZgcYUdh2FqUM1efMNqFMZxveFlb9p9+nWWhld4XYk1KgA8yfBb4dhvwmGw7ektAMwd64Du3alEh6egaenFTNnOmie2Z+RkKBmxYoUfvjBkdjYxyQkqFm40JGTJ1MJCjLN8/vcuXbs2pWmE48d6elqNm1KxdkZ9u1TRqzt0ycZFxcVLpoqluhotUmeuZ4XT9myKnr2tGXfvjSio9WUKGHF5Mn5ePJEzZ49xnledrIHL53BFssWhVplIDZJcx/2B0zrBtciNfdhH2juwzQVx6euwKPHsGY0fLlV6Zk+tLXyPbtfcWqO1nPncnXXLuLCw3H29MR35kwy0tO5sGkT+Zyd6btvH7aOjmzu0wc7FxfsND9OcnQ06owMilSrRv9Dh7i+dy+nfvgBJ81wWOr0dJKN1LvCUu4Lra2ts4Zvt7a21tvm5OTEyJEj+fTTTylYsCClSpXiu+++Izk5mcEmGn5LKtT/AwYNcuLu3XT27TNtM6LRM2HWePjxS2Vo93tRsHQTfPmcnhum5u1dhCNHOmS99/f3AWD16quMHHmCmjUL0r9/Bdzc8nHvXjL79kUwffoZnj17w10kLdibSj+gDFlZuiSs3JBz2/yflGHb/GdDQTcIvgitu0LYLdPE8s8/4OcHX38Nn3+uFG6NHQsbNXO9pqdDzZrQvz+4uSmFXvv2wfTpSgtQU3i7JZQuBSsNzLc4Ygh8MVX7/pimQGfAMKUC3tg+/FAZ9/DoUW+99QMGXGTNGqUZZ6VKTnz9tRcFC9py69YTZs++hb+/ge4deY6ltCaWhtliCWHNGqV37fz5t7C3t8LfvzIFC9oSHJxI69anCQszfg9sS0w7LzJuXBQZGWq2bSuBnZ2KvXuT+PBD087r9zwjRhTgiy+0wyMeO1YGgAED7rFmjXG7AFja71WihIpNm6woVEgprD1+XI2PT5peb+JBg6y4exf27TP/HPRv2j//gF9X+HoOfD5d83uN0/5eAO9/oGzfsB4KFlQq1adOg59+Mn483t4FOXKkddZ7f/96AKxefYOBA/+iWDEHfvihLu7u9kRGPmXt2jBmzbpg/ECwzLRjSdd1UIaeNxRPWhq88wF8Mx12rYf8TnD9JvT/yPQ95jN9+GF9AI4eHaC3fsCA31izxvQjGrxMXli5spIXFi4MDx8qPZOaNs05jKIxFC1qy9q1FShWLB/x8WmEhCTTtu1FDhyIp3lzF3x8lIYsN27U0/tcmTL/EB5u/HtW1/zw9SgoURRiE5QW91N/VAoKrK2hchno30GpTH8YD6cvQdNhcCnsRd/8+t5uobkvNMF9Xl6VKOHMpk3vUqiQA9HRyRw/fgcfn9XExJh+FLDRs2HWGPjxcyhaUJnTdOkW+FKnt/f7E+DrcbDhOyjoqlS0TZ0PP23O/Xtf14vOLVAKbp2cYNky5V7j+HGlYsIUvYDMfa57l4Ejk7Tv/T9Q/l19HAauhM61YbVO2dZmTUX2F7/DTM3wkPP3g72t8tmCThB8B1p/b5w5jP/5B/y6wdez4fNpmr/PJ7Bxk3afYsWUygl3d6XRwdr1MMtII2h6e8GROdr3/kOUf1cfVOZC/267Uti7bBS4OcHxS9DuC0jRaf/46Solb1o3HhzyQdBVaDkV4h7nPb7n5YVvmqWd60WL2rB2bWmKFbMlPj6dkJAntG17nQMHtKM5DRpUiLt3U9m3L8H4AWTzMnnPb78p8whPmQILFsCVK/Dee0qPzrzytocjOlMl+Gsqs1fHw0DNUNPvOysVyJueM8PNYFc48QSupOa+z0vFUyZvec+zNHi7KoxtrVTO34mFbWfgKyP2snN1gq9HQokimvPrCExdqpxfNulQ0wv6vwNu+eFeDOz7G6Yvg2d5/NsYYu7086rxvMln9tFfwqyx8OMXmrLvB7D0F/hykU4slaC/n9Jb894D2Hccps8zYVlhK6XX+crVObeN+0QZzWPbFmWkmb374MPRpokDYPTXMOsj+HGqJm+OhqW/wpc6z+LFisAPn4J7IYiMhrW7YNZS08RjSWkHoEQJKzZtyk+hQiqio9UcP56Kj89jYmKU5/Nx45LJyHBk27b8mrK5VD780AgX8OfG46ATT3pWPM2bW+Pjo1QN3rjhrPe5MmUSCQ83fpnC8+KxtVXRtKk1Y8fmo0ABFVFRav78M5233komOto4sXiXhyOztO/9NaOHrz4EAxfBdzuUa8CyEZr7sMvQbpb2PuxhovJ+di84NFOZtuPiHejyDYTcerVYXEqU4L1Nm3AoVIjk6GhuHz/OCh8fkmNiKN28OSV8lDquMTf0G+nNK1OG+PBwqnbrhlPRotTq25dafftmbY+7dYv5Zcu+6p/GIEu6L3TJbO1hwDfffENGRgZ9+/YlMTERb29v9u7dS4ECppmOTKVWq///K601o8jISJYtW8awYcPw9DRD6stGrdZOxqMqZ8ZANNQ6hVIq1c/mC0RDrR6S9VqlMu48FK8jJKQz27dvp2vXrtSsafo5Cl9EL/0YYU67vFLrTFOmMv1oMC+km7uqHM0XB0BI0HmdtGOiyZRegVr9dtZrlcr849ur1e2zXltc2lFdzn3HN0StrpL12hLiCQlJ00nPNcwdTrbfywQlHq9IrdadF+iW+QIB1OoyWa9VZhySPVNIsG5eGGLucFCrtd2jLS7tWNp13Qhzw+aVWqcyR6Waab5ANEJCulpwXmiC0tZXoFY3znqtqm/GQDTUp7WvVbmXBbwxISd088Kd5g4HtVrbalRV1YyBaKh1KpYt777QfHFkCgnRST/+FpD36MwnqzLxNAwvota5lKs6my+OTGqd09vi8kILONdDNuvmhZZwH1Y367UlnOt6ec9V88WRSa0zXYPq9adQNZqQcTrpZ7gF5IUnta/NnX4s7bqlF0+F3Pd7U0K266SduhaQdnSvXTXNF0cmtc5jusWlH1Vs7ju+IWq19kFdpTJ9A64XCQkJ17mWljZrLGq19kFL1dWMgWiot2tfz7SAxDxDJzFbwn3hvZ3aetJixYq9+AMWwgKKNoUQQgghhBBCCCGEEEIIIYQQQgjLIxXqQgghhBBCCCGEEEIIIYQQQgghhAFSoS6EEEIIIYQQQgghhBBCCCGEEEIYIBXqQgghhBBCCCGEEEIIIYQQQgghhAFSoS6EEEIIIYQQQgghhBBCCCGEEEIYIBXqQgghhBBCCCGEEEIIIYQQQgghhAFSoS6EEEIIIYQQQgghhBBCCCGEEEIYIBXqQgghhBBCCCGEEEIIIYQQQgghhAFSoS6EEEIIIYQQQgghhBBCCCGEEEIYIBXqQgghhBBCCCGEEEIIIYQQQgghhAFSoS6EEEIIIYQQQgghhBBCCCGEEEIYIBXqQgghhBBCCCGEEEIIIYQQQgghhAE25g7g/2dqdQlzh6BHHWbuCPSp1UPMHYIetXqquUPg/PnzWa8tLv3EmjsCfWq1uSPQp0427/F1kg5q9dvmC8QAtbq9uUPQY3FpR13F3CHosYR49PNCMwZigFpta+4Q9KjVZcwdQhZ1hrkjyJ4X9jZfIAZYXNqxtOt6tLkjUNy5c4e4uDhCQrqaOxRu376d9dry8sLG5g4hi/q0uSPQp04wdwTZ80LzP+PoUl8ydwT6LO/cMncE2dLPSvPFYYg61dwRaKl3mjsCfRaXF1rAua6fF9Y1XyAGWMK5rktd0dwR6LOEvEcv/Zw0XxyGWFL6saRYANTXzB1BtrRjQdctAHWIuSPQZ3HpR13Q3CHoUatdzB1Ctmup+ePJpN5u7gj0zbCwxGwJ94WRkeaO4PVIhboQQgghhBBCvMCdO3dYudICSnCzcXNzM3cIQgghhBBCCCGEEP9pUqEuhBBCCCGEEC8QFxcHgLe3N6VKlTJvMBpubm6ULFnS3GEIIYQQQgghhBBC/KdJhboZqZaZOwJQD9O+/oZx5gtEYzL+Wa9VqigzRqJQq921b26qzBdIFu3YOyrVZTPGodAd+lllAR221IO0r1WqJ+YLREOtdsh6rbIyYyBASLD2teod88WRSb1H+1pV03xxZNId1kql2mW+QDTU6k5Zr1VVzRiIhu6QjCoLqEMK2a19bWnp5ysmmC8QjWn8L+u1SnXEfIEAarVv1muVyvxjiIfonetLzBeIhlo9Muu1aoEZA9FQj9G+trj7DAu4DctMP6VKlaLm8BrmDQb94UVV5h+BXm9YPZXKvONX6k6hoOpuxkA01Fu1ry0pLQOoVAfMF4iG7nRElpcX3jJbHJl0p29Rqb4zXyAaISHa6ZpUQ80YiIZ6ufa1ue+b9e6ZLWDUU70pJg5ZQObTUjvcqcoCZroJOat9rRqT+35vilon/1O1NF8cmdSHtK9VqgDzBaKhO1Wc5T1XmC+OTLqjCavMPCq17tRRqg/NF0cm9Y/a1yqV+cd810s79c0XRybdoZ8tIW/WHQZfpTL/XEm6w5hX5V8zRqK4RJ2s1xaXF35rvjgA1JO0r1WDct/vTdGdnsTirhOqIPMFonHvngUUML8GM1fxCCGEEEIIIYQQQgghhBBCCCGEEJZJKtSFEEIIIYQQQgghhBBCCCGEEEIIA6RCXQghhBBCCCGEEEIIIYQQQgghhDBAKtSFEEIIIYQQQgghhBBCCCGEEEIIA6RCXQghhBBCCCGEEEIIIYQQQgghhDBAKtSFEEIIIYQQQgghhBBCCCGEEEIIA6RCXQghhBBCCCGEEEIIIYQQQgghhDBAKtSFEEIIIYQQQgghhBBCCCGEEEIIA6RCXQghhBBCCCGEEEIIIYQQQgghhDBAKtQtTFMP2NkWInqDehh0KZ37vkuaKPt8XF1//c0PlPW6y6Rarx6LD63ozzjG8TWj+ZKuDKIgRXLs50lpPuBDxvMN4/ia3nyEDbZZ290pQU9GMJY5fMxXtKMHtuR79YBeYNIkR9Rqd/z982etK1fOmu3bXXnwoAjx8UXYvNmVokWNlOydR0DxYCgdryzFToJDO+12j8NQVq2/FFqi3Z6vJhTZCCVvQ+lkKH4JXMYYJzYDJk0qhFpdBX9/96x1Q4e6cfhwKeLjK6JWV8HV1XhZQlN32Pk2RLwP6kHQpVTu+y55S9nn46radc09lHWGFu/CeY9vxgwb1GoHveXyZbus7YcP58uxfckS2+d8Y955esK6tRATDcmPISQY6tXTbndygoUL4c5tZfvFCzB8uHGO3bQ67JwBEetAvQe6NMq5z8w+cG89JO+A/bPBy9Pwd+WzgX8XKt9Tq5xx4svvCP4T4VYgJP8NJ9aCd7Vs8X0I9w4q2/cvA6/npLm8mDzZi7//bkpCQnuiotqwY0d9KlZ00tvn8OFGqNWd9JYlS2qYJB4rK/hyNITtg+SzcD0Qpo3Q30d9yfAyYZCJ4vkEwo5D8lW4fgymZcva/NrB3vUQEwzq21CrquHvMlo8oyAsQEkb13fDtGH6+xQtCKtmQcQBeBwEAUuMk37eoiWD+JhP+YpxfEF3Bhi8jhanNH0YwUTm8Clf0Y8PscFGbx8vqjCQMUziaz7hS7ozIO8BAiNGeBIc7E18fBPi45tw8mQd2rUrmLXdzs6KRYsqEBPTmMTEpvz6azWKFjVdXjhjhgNqdUG95fJlV514YNEiR2Ji3EhMLMCvv+anaFGVyeJp2rQYO3e2JyKiH2r1SLp0KZMtXm8uX36fpKQhxMYOYv/+TjRoUNQ4x/aEnZ0gYhCox0CX5+SnS1oo+3xcW3/9Z95wojs8HgmPjHS9yM2bvs8wxNMT1q2DmBhIToaQEP3rKEDlyvD77xAXB0lJ8PffULKkaeLJ7wj+H8Ot7ZB8GE4sBe8q2eIpDb9/C3H7IOkg/L0CSrob/r5X0bQq7JwCET+Dejt0aZBzn5nvw70VkLwJ9s8Ar2L62ysUg98mQ/RqiF8Px2aDb/Wc3/M6ZsywQq221VsuX9bP93x8VBw8aE1Skg3x8TYcPWqNvb1xjt+0CuycBBFLQb0VutTPuc/MnnBvGSRvgP3TwctDf3udsrBvOjxaDTErYelwcDJSfC9Ky35+sHevsl2thlqv8az3siZPLsPff9cnIcGXqKhm7NhRk4oVHfX2cXfPx9q11YiMbEpSUgvOnGlA166WkxcWsIP1bSB+hJIX/twKnEx0KZs0yRW1ugz+/gUNbt+zpyhqdRm6dHE0uN0UPD3zs25dB2JiRpOcPI6QkIHUq+fx4g++hqYVYOdHEDEX1MuhS2397X51YO9YiPFXttcykP+6u8DaQRD5P0haBGemQde6xonP0u6bb54HdULOZdH3yvaf5sH1YEiOggdh8NsmqFTBSAcvPgIaBEOzeGWpdxIKasoz7EtDS7XhpUg37XdUmA/e/4DvU6j/r5EC0/L0hHVrIOY+JCdAyL/6eWHRorBqBUSEw+N4CPgDvLyMc+ym5WHnMIiYBeoF0EXnUc7GCr7pDCGTIWmuss+aPlDMRbtP6YLw8wcQNgOS/wfXP4cv2oOt9WvGUxN2zoaILaA+BF0a59xn5gC4txWSA2D/XPAqrr+9gDOs/wzid8GjnfDzBONdtyZPLsfffzciIaE1UVEt2bGjrt4zcunSDqjV7Q0u3boZPz960TPF0KF2HD7sTHx8AdTqgri6mu55QolHuV7rLpcva7e7u8PatRAZqdyfnjkDXbuaLp6b50Adm3NZ9J12H5/6cPA3SLoD8eFw9A+Mdx/mBTtHQsQcUP8IXXTuY2ys4Jt3IWQqJPkr+6zpD8Vc9b+jgCOsHwDx38Oj/8HPfcDJDqObNKkAanUF/P21BZE//VSU69dLk5xcngcPyvLbb8WoVMl0z8j5HcF/PNzaCcnH4MQK8M6lDGXJZFCfho8/MFk4Zs2bs5sxww612kVvuXxZyXsKFIAFC+wJDXUiOdmZ8PD8zJ9vh4vLC770FQzFnc1U5DQ1OUZ1FlKWMugnxO4UYjVe/E1NLlEHZ3JeCFyx5jtK8zc1+YsazKIUjkaotjN3Xti0BOx8DyI+BPUk6JLtHmZGY7g8BJLGQezHsL8nNCiW83veKQd/9YXk8cp+O/xeM56KsHMMRPwA6pXQpY7+dr+6sHc8xCxQthu6Tz08Udmmuyzp+3rxZPeiZ8BVq3JeSwICjHPs7EaMKEpwcA3i472Jj/fm5MmqtGvnanDfPXsqoVY3pEuXAkY5tkqleu7yxRdfGOU4r0sq1C2Mky0EP4RRJ56/37tlwKcoRDw2vH36afBYp10WXnz1WEpRnrMcZx3z2cxPWGFNT0boVYZ7UpoeDOcmV1jLPNbwA2c4jpoMAPLjwvuM4BExrMWfzSylMB50oNerB/Qc3t42DB/uSHBwatY6R0fYt88NtRpatnxE48aPyJcPdu1yQ2WM60PaXYidDBH1IMIbnh4C99/BVueuJmEZ3PbQLrETtdvy1YP0BxDdByKqQdxsKPA1OI8yQnD6vL3tGT7cjeDgp3rrHR1VBAY+Zs6ch0Y/ppMtBMfCqFPP3+/d0uBTJGdaPvkAPDbpL8uvQFgi/BNjnBgvXMjAw+NJ1tKkSYre9mXL0vS2T5yYmss35Z2bG5w4Dqmp0P4dqFoNPpkAjx5p9/nhB2jXFvr0hSpVYd58WLQQOnXK+/Gd7CH4Joz60fD2id1gTGcYsQgajoPHT2HvLLAz8Mzw3WC4F5v3mHT9/AW09oG+U6HGe7DvFBxYBp6astqJA2FMLxgxCxr2hsdPYO9PYGf8tjs0b16IxYtv4uNzjNat/8LWVsW+fT44OurfFC9bFo6Hx76sZeLEy7l8Y95MGgIj34ePvoIqHWHSDzBxMIzuo93Ho5n+MnAqZGTAtn0miGckjOwLH30OVVrCpK9h4ggYPVC7j5MjHD+tbDO1SYNgZA/4aA5UeRcmzVPSy2idy9Bv86FcCejyMdTpCeH3lPTl6JC3Y5emHP9wglUsZANLscKa3gzTu44WpzQfMIQwrrCS+axgPqc5gRp11j6VqUEXPiCY0yzne9awmAsYp9Dy7t0UJk8Oo169M3h7n+HQoTh+/706VasqBf3+/uXp1KkQ3btfpHnzf/H0zMf27UaqUcvFhQtpeHg8ylqaNEnI2ubv70inTrZ0755E8+YJeHpasX17/ud8W944OdkSHPyQUaOOGdx+9Wo8H310jBo1NtOkyQ5u3Upk376OFC6c99ImJ1sIjoZRR56/37vlwMcDIpJybstnDVuvwZLzeQ7nucxxn5GdmxucOKG5jraHqlXhk0/0r6PlysHx4xAaCr6+ULMmzJoFT5/m9q158/NkaF0f+n4JNfrAvr/hwHzw1JTHlSsOx3+C0HDw/Qhq9oNZq+Dps7wf28kOgm/BqOWGt0/0gzEdYMRP0HAyPE6BvdP1r+t/TAUba2g5A+p9qnzfH5+Bu1ve4wO4cEGNh0dq1tKkSVrWNh8fFYGB1uzbp6ZBgzTq109j0aIMMjKMc2wnOwgOh1ErDG+f2AXGtIcRy6DhFM3fZ5r271OsABz4HK7fh4afQbvZUK0ErDbCbfzLpGUnJyUtT5qU9+O9SPPmbixefBcfn9O0bn0WW1sr9u2rg6Ojtihh7dpqVKrkSOfOwdSo8Rfbt0ezZUsNatd2zvPxjZEXbmgL1QpB6x3QcSc0Kw7LWuY5tBy8vfMxfHh+goMNn8Rjx7qgVhvcZDJubnacONGb1NQM2rffStWqK/nkk8M8emSajM/JDoLvwqiNuW8/fh0mbcv9O9YOgkoe0HkR1PgCtv8LW4ZDbSM0frK0++b6vuDhpV3e7qys37pD+ffMORg4EqrUh7Z+oFLBvt+UhgF59vQu3JgMp+vBaW94dAhq/g5OVeHpHTjuob+EfQ5piRCbreQ2ciVEbTZCQPrc3ODEUU1e2Amq1oRPPtXPC3/bBuXKQpf3oE59CL8NBwKVsqC8csoHwREwamvObY75oG4JmLUX6s6FriugUlGlAj5TZXewUsHwzVDtaxi3HUY0hjkdXzMeewi+AaMWGN4+8X0Y0xVG+EPDUZrn9W/1r+sbPoNqZaD1p9DxM2hWE5Z98nrxZNe8eUEWL76Nj88pWrc+rXlGrp/1jHznzhM8PA7qLZ9/fo3ExDQCAqKNE0Q2z3umcHSEwMBU5sx5YpJjG44HPDy0S5Mm2m1r10KlStC5M9SoAdu3w5YtULu2aWKp3wo8KmuXtzWVU1t/V/71qQ+BW2HfYWjQWtl/0c8Y7z4sn+ZaYSDrcMwHdUvCrACo+zV0XaY5v7I1ftowEKoVg9YLoeMSaOYFy4xb1Iy3tx3Dh7sSHKxfVnjmzFMGDoyiSpVw2ra9p+TN+4obJ2824Odp0Loh9J0BNT6AfX/BgcXgma2t/ru+4FMDIh6YJg4wf95syIUL6Xh4JGYtTZokA+DpaYWnp4oJE1KoXj2JAQOe0K6dDStW5LGgR4c3+dlEDB9wlSHcwAYVP+OFg06Vmz1WHCeRZUTl+j3fUQYv7BnCdT4kDG+c+ALjtPo2Z17olA+CH8Co/Ya3X42Fj/ZDjZXQZAPciod9PaGwzk/UtSKs6wirzkOtVdB4PWx8zeJVJzsIvgOj1ue+/fg1mGTg2q9r2VHwGKtdJr5g/5fxMs+AoFSg615LPjBR45m7d58xefJt6tU7j7f3BQ4dSuD33ytStar++TN2rIfRn28iIyOzlnnz5uHi4qK3bsKECcY94CuyefEu4k0KvKMsz+PpCAvfgrYBsLud4X0SUyEqj3nhFpbpvd/NRj7mKzwowR3CAGjFu5zhGH9xMGu/WLQ3w+WpRgYZ7GMbaCoH9rKVwUzEjcLEkfeaUScnFRs2uDJ0aALTpmlbwDZunI8yZaypUyeWxETl2P37J/DoURFatszHwYN5LK188of++0fTwHkk2PlA6iVlnToZ0nO5YCat0n+fdhPsG4FTV0hcnLfYdCh/H0+GDo1k2jT9rt3z5yu5cvPmxr+rCbyrLM/j6QgLfaDtXtjdWn9baoZ+GrZRKb3cF14yXoxpaRCV+/0MycnP325MkybBnTswaLB23a1b+vu81QjWrIWjR5X3y5fD8GHQoAHs2pW34wf+oyy5GfsufPUL7PxLed/ve4jaCO82gs1/avdr5w1t6sB7s+EdA729Xoe9Hbz3tlLZeeyMsm7mEujUXKkonb4IxvaBr5bDziOa+KZC1GF4tyVsDjROHJnatw/Sez9gwDmio9tSr54rx45pWxIkJ6cTFZWS/eNG91Zt+P0Q7NH8DuH34IN3oIFOL4qobFltl5Zw+G+4+YJz9LXi8Ybf98GeQ5p47sIHnaGBTqvz9duVf0uXMP7xc8RTC34/DHs09aHh9+CD9tBAUydcoTQ0qgXV/ODSDWXdyK/g/mFlvxXbX//Ym/hZ7/0ufmE8MylGCW5rrqOt6cxpjnOSw1n76V5HVVjRhi4c5A/O8XfW+pjnPIy9ij/+0K/onDbtJiNHeuLj48LduykMHlyMXr0uc/hwHAADB14hNLQBDRu6EBSUYOAb807Jm3Pekbu4qBg82I5evZI4fDhNE08SoaFuNGxoTVBQutFjCQy8TWDg7Vy3b9p0Te/9+PEnGDKkCjVrFuLQoYi8HTtcWZ7H0wkW+kLb32B355zbv9BkV/2r5NxmLOa6z8gu6zqq04Mw+3V09mzYs0e/EjIszDTx2OeD93yhy2Q4dk5ZN3MFdGoMI7vC9GUwezjsOQWTdBqzheUt2WQJ/FdZcjO2I3z1K+w8rbzvtwCiVsK7DWDzCSjkDBU9YfBiOK9Jh5PXwaj2UL0URMXlPcbn3Yf5+1uxYEEG336rLbm9etV4T+qB55QlN2M7wFfbYKfm3qjfIohaDu/Wh80noWM9SE2DUT+TVYAwYjmc/x7Ke8CN+68f28uk5fWaQqDSzxnNzFjatz+n937AgItERzenXj0Xjh2LA+Ctt1wZOTKU06eV68Ls2TcZN64k9eo5c+5cYp6On9e8sHIBaF8GvH+BM5oC5tFHYU9nmHAcInNpoP6qlLywCEOHPmTaNLcc22vVyscnn7jg7R3J/ftvrnf6pEkNuXMngUGDtJWgt27Fm+x4gReUJTfrNc8SpQvlvs9b5WHkBjh9S3k/ezeMexvqlYZzLygreRFLu2+OydbebPJ4uB4GR48r75ev1m4Lvw3TZkHIKShTGsJu5vHgD7OVZ4RNg+IjwcUHHl+CZ9ky6CJ+8GALpOucNNc+Vv7NVwTy18xjQPomfQp37sKgIdp1unlhhQrQyAeq1YJLmjKCkaPg/l344H1YsTJvxw+8rCyGJDyFNtkaon/0K5yeACULwJ1HsPeysmS6+RD+dwhGNoFPf3+NeP5WltyMfQ++Wg87Tyrv+30DUdvg3Saw+TBULgXtG4L3CDhzVdln9ELY8zVM+Aki89j2sX17/cKEAQPOEx3dSnOteERGBkRF6ZfB+fm5s2VLJI8fG/8eHnJ/pgCYP195Tm/e/M0Viz/vvuett2DkSDituS+bPRvGjVN6Jp47Z/xYcuQ9YzV5j6Zzl/9sWLAMvp2v3efqdeMdP/CSshiS8BTaLNRf99EWOD1Je35V9oD21cD7GzijeVQbvQX2fAgTtkOkES5zynXdg6FDo5g2TX/UmeXLtc/B4eFpTJv2kJCQ0pQpY0tYmHE74tjbwXstoMsEOKa5t5+5HDo1hZHvwfSflHWeRWDhBGg7Bnb7GzUEPebOmw3J7Vy/eDGDbt20BcthYelMnZrC+vUOWFtDuhGynuHc0Hv/Gbc5QQ2q4sAZlOvlOk35Tn0MdwQohx1NcaE7oVxEiXc2d/mJ8swlgmjSDH7uZZkzLwwMU5bcbMp2nR1/CIbUgppF4VA4WKtg/tvw6RFYGaLd7/JrXrMCzytLbtZrOgU+7z4VIPkZRBm5OOxlngEBUlLeTF3FH3/E6b2fNu0uI0e64+OTn0uXlHRaq5Yjn3xSDG/vC9y/b6ThpAAPD+3INa6urqhUqqx1X3zxBb/99hvndC6O8+bNY968edzS+YP9/PPPfP/999y8eZMyZcowZswYPvzwQ6PEJz3U/49RAetawNwQuPQo9/0m14aYfnC2K0yoqWRAeWWH0gLlCUpLL0fyU5wyJJNEH8Ywmi/pxShKUDbrMzbYkE4a6PS0S0W5uSips19eLF7szO7dKTkqyO3slAKulBTtsZ8+VZORAU2aGHsoHitw6glWTpCi0yU7f28oFQ3Fz0OBOaB6QSs4K1fIMG7X3sWLPdi9O4mDB5ON+r15pQLWNYO55+FS3Iv371wKCtnBqmsv3vdlVaigIiLCnhs37Fi/3paSJfVPlN69rYmOtuf8eTvmzLHBwXiNGHPo3An+OQNbNkPUfTh7BoYM0d/n5CllP0/NUOu+vlCxIuwzQW8JXWU9oFhBOHBOuy4hGYKuQCOdSpqibrB8DPT9HpKNWI9sYw02Njl77D15Ck3qQNniUKwIHPhLJ74kCDqvVJSamqurcuMZG6v/4NS7d3Gio9ty/nxz5sypjIPDa47v9wInz0ErH6ViGKBmJWhSFwIMd6ilaCHo0AxWPKdnUJ7i+QdaNYYKmiy+ZhVoUh8CjpjmeC+MJxhaNdT5+1RU0k2ApqAycxSDpzppVq2GlGfKfsZkh9JrWfc6WoLSPCaJ/nzEWGbQl5GUpEzWZ4pRHBfcUKNmCOP4mM95nyEUwfhDI1pZQc+eRXFysubUqQTq1XMmXz4rDhzQ3nBcuZJMePhTGjUy4jhp2VSoYE1EhBs3briyfr0TJUsqt6v16lmTL5+KAwe0D5RXrmQQHp5Oo0bmbyNqa2vFsGFViYtLITjY9D2yVcC6NjD3DFwy8qggr8JS7jM6d4Z//lF680RFwdmz+tdRlQo6dICrVyEwUNnnr7+gSxfTxGNjo7l2ZbsePkmBJjU18TSCq7ch0B+idsNfy6FLM9PEo6usu6aHdbB2XUIyBF2DRpWU9w8TIfQu9PMFRzuwtoLhbZWK9DM3DH3rq6tQASIibLhxw4b1662zht4vUgR8fKx48ABOnLDm/n0bjhyxpnFj0w7HmqlsUc3fR6ewJSEZgq5r/z52NvAsDb3W+E809ylNKuft+C9Ky+Zm6L7n5Ml4evZ0p0ABG1Qq6NnTHXt7a44cec4Dq5G8KC9sVAwePdVWpgMcuA0ZamhohOkVMi1eXIjdu5M5eDBnz28HBxUbNxZm1KiHREWZpuIoN507e/HPP1Fs2dKZqKhRnD3bnyFDjFvxaWwnb0DP+spwviqV8treFo5cMcJ3n7Os+2ZdtrbQpyesXGd4u6MjDOyjVKTfMXrlvhUU7QnWThBvYIg557rgXEeZJ+QN6dxR83y8CaIi4OxpGKLT+NxOM6Ku7igzSvkPNDEwHLqpudorvXfjntOxxdUBYk1wu1S2GBQrBAfOaNclPIagy9BIM4Bio6rwKFFbmQ7K/hlqaGiChpe5PSNnqlvXhTp1XFixwgQtVTRye6YwF+W+B27cUBrG6U45dPIk9OypDFGtXEeV4dWPHDF9XLa20Kc7rNygvC9SGHy84UE0nAiE+6FwZBc0bmj6WHKT/fxqVBYeJWsr0wEOhGrScxnjHHPx4qLs3v2Ygwef31vN0VHFwIEuhIWlcueO8Ue1zLU8LAWa1FZeq1SwbibMXQ+XTNRYOJMl5s0VKlgREZGfGzfys369Q46yXV2urioSEtRGqUw3xFlT1RbPyx+gNk7Ek5ZVmQ5wikQygJo45f7Bl2RpeWFubK1gWG2Ie6r0ageo6wElnJVz++wAuDcK9nSHakaYCjYvevtA9Hw4/yXMeQ8cjDA66ss+A/r6KttDQ+HHH6Gg4VmmjEopKyyIk5MVp04pw4E5OFixcaMXo0bdIirKdCP6vo4NGzbw+eefM3v2bC5fvsycOXOYPn06a9asMcr3W+YZJHI1qTakqWHBc1p9L7gA7x+EFn/A0svwWR34Ls83Pire5l3uEEYMSpcLN5TmOk1oSzB/sYWlRBHB+3xIAZScLZxrOOFCA1pghTV2OOCLMsaVE3kvjO/Z0466dW2YMiXn2H5//ZXK48dqvv02Pw4OygPo//7njI2NimLFjJT0batD6UQokwKFfoIoP0jVNK96vFEZzj2yBcR9Dfn7QpFcxhQBsGukVMonLst9n1fUs6cLdevaM2WKaYbQyotJNTVp+SV7nA+uCHsjIMJID6BBQRkMGPCMdu1SGDkylbJlVRw7lo/8mgaDGzem06fPM1q0SOHrr9Po29eG9etNMH64RrlyMHIEXLsObdvBkp9gwXzo10+7z+jRSgvPiLvwLAUCA2DUR3AslwIgY/HQTIESla1MNCpOuw1g9Xj4aQ+cMWKjB4CkZKXwa/owpeLcygp6d1Aqy4sVAQ/NjVRUtvqrqIfg8YJWhXmlUsG8edU5fjyWixe1PbA2boygT59/adHiJF9/fZ2+fUuwfr2Ra2c1vlkOv+yB0N3wLBj+3Qbz1sHGPwzv378LJCbD9lyGXMpzPD/CL7sg9DA8uwH/BsC8lbDxN9Mc74XxrIBfAiH0d3h2Bv7dAvPWw8Y9yvbQm0rvpK8/BjdnsLVRhoQv6QHFjHqTrqINXbjDTaI119ECKHe+zWjDOYLYxHLuE0FvRmRdRzOvtc1ow3EOsJkVPCWZvozEHuO08qle3YnExKakpDTnp58q4ud3gcuXk/HwyEdKSgbx8fotoqOinuHhYZr8MCgojQEDkmjXLpGRI5MpW9aKY8ecyZ8fPDysSElREx+v37o6KkqNh4f5bmk7dChNYuIQnj4dxrhxNWndehcPH5poDHEdk7w119HgF+9rKpZ0n1GunNKz59o1aNsWliyBBQu019GiRcHZGSZPVirU27SBHTuUITWbmaASOykZTp6H6QOVvMTKCnq3hUbVlULvogXA2Qkm94XAv6DNWNjxJ2yfA81qGz8eXR5uyr9R2XrvZL+uvz1TmSc8cQM83QzjO0G7WRBnhB69QUFqBgxIp127NEaOTKdsWTh2zIb8+aFcOaUQ7IsvrFi+PIN27dI4e1bNwYPWJpt/UVfW3ydOf31UnHbboQvK6wmdleuGmxN801vZVswtb8d/UVo2J+W+pyLHj8dx8aI2IfTocR5bWytiY31JSWnJ0qVV8PML5sYN0w+l+6K80MMRHmQLI10NsU/BI+9llAD07OlE3br5mDIlzuB2f/+CnDyZws6db25o4UzlyrkxcmRtrl17RNu2W1my5BwLFrSiX79qbzyWl9VjqTLPdOx8SPkRlvYBvx/hhhEuNZZ236zr3Y7g5gqrN+ivHzkEEu/B4/vQvjW0flcZDtQonKpDs0TwTYFKP8F5P0g20C272GCl13rCC+ZzM6Jy5WDkcM3zcQdYshQW+EM/zTyloaEQHg5ff6UMk2prCxMnKJWUxYzf7vS57Gzg2y6w6Swk5nILWL4wjG4GS18wvePr8NAUpud4Xn+k3eZREB7E6W9Pz4DYBO0+xqJcK6ponpENzMMBDB5cgkuXkjh1Ks7g9rx63jOFOQQFwYAB0K6dco1X7nvIiqdHDyUNx8YqFY9Ll4Kfn1L5bmrvdtDkPZuU9+XKKP9+MQmWr4V23eFsiDKfulc508eTnZ0NfOsHm/7Rnl8eLvAg2wA46RlKgxUPI7T77tkzP3Xr2jFlSu6NpEeOdCUxsTyPH3vRvr0TrVtHGC9v1pGUDCdDYPpgnWeK9tCohra8YlJ/SEuHBb8Y//jZWVreHBSUrhnKPZmRI59oynadDJ7rhQqpmD7djmXLTFP5pwImU4IzJHGdly8PKIwtsdl6oacD8aRRmLx1CLS0vNCQDuUhcRw8nQDjvKH1ZniouWUu56b8+0Vj+OokdPxVaSh75AMokPdZ9l7LxiDoswxafAdf74G+jWD90Lx/78s8AwYGKu9btVJ6tDdvrgwBb6rpJqpXdyAx0ZuUlAb89FNZ/Pyucvmy8uP4+5fi5MlEdu40fQPqVzVjxgy+//57unbtStmyZenatSvjxo1j6dKlRvl+83fnES+tbmH4uDrUfcHws/46vSnOx8KzDFjaFKb8rbx+HW14jyIUYz3aCZtUKIVd/3KS85phaKOIoDQVqElDjrKbGO6zm420pAu+dCADNWf4kyQS9OaHfR0lSlgxf74zrVvHkWKgN2xMjJru3eNZssSZMWMcyciATZuecuZMqtHm/SH1CkTUVnqWO3WDImsgsrlSqZ6oM2ll6gVIj4Rih8CmHKRlazJoW02Zfz1uJjwxztN6iRI2zJ/vTuvWt/V66VuCuoXg46pQ9yWHOivuCG2LQ4/DL973ZQUGahPB+fNqgoKeER5uT48e1qxcmc7y5drWhBcupBMZqebQITvKlVMRFmb8v6eVldISbepU5f25c1C9OowYrsynBUqFuo8PdOqs3KA2awaLF8G9e3DwYK5f/UaM7gzODvD1FtN8f9/PYOWXcO+gMlzR2cuwKQDqVTXN8V7W4sU1qF7dmSZN9EtGli/XNpW+cCGRyMinHDr0FuXKORIWZtxuCT3aQe+O0OtTuHgdaleGeVPg3gNYa+AcG9QVNvyh9MA2hR4dofe70Gs0XLwKtavBvBlwLwrW/mqaYz43nrZKA4xek+HiDahdCeZNhHvRsHankp66joMVM+HRCeX9gSBliHiVETtDtsePIniwBu2UHtrr6F8Eo4zvt5+dlMGL2tTnMAFZ+xznAKEoF/hdbGYM06lKLc7yF3l15UoytWv/g6urNd26FWHNmso0b34uz9/7OgIDtQ+358+nExSURni4Kz165OPJm6+HeCmHD0dQu/YWChd2YOjQKmzZ0oaGDbcTHW26gOsWgY9rQd03UGiSG0u7z8j1OjpCuY5mPmT+/jvMm6e8Dg5WhtgcMQL+/NPQt+ZN3y9h5WdwT5PXnL0Kmw5AvUo68RyDeZr5I4OvwVvVYYQf/HnO+PG8qsVD4UE8NJ2m9L4e8jbs+gzqT4T7eXxuDgzUphnlPiyd8HAbevRQcVlTl7N0aQarVyv7nTuXQatWVgwaZMVnnxnrRv71XboL/RfDD/3h615KIe6CALgfp/SgyIsXpWVzWry4MtWr56dJE/2hfWfNKo+bmw2tWp0hJiaVd98twpYtNWja9B8uXDDSmOoGWEZeaM38+QVp3fq+wbywUycHWra0p06de2aIDqysVPzzz32mTlVa4J4794Dq1QszYkRt1q69aJaYXmTWu+DmAK2+h5gkeLeOMod60+/gQh6nxbC0+2Zdg/tBwH6IzDZlxIYtsP8wFHOHCWNgy2po3AaDZSCvLPkKnK4NNq5QpBtUWQNnm+tXqlvZg3svuDXLCAd8eVZWSi/IqdOV9+fOQfVqMGIYrF2nuYfvASuWwaNozT38QdgTYNx7+BexsYItA5WKlJG5PAt7ukLgSNh6Dn5+c20SzGbx4mqaa0WQwe329lb06uXJrFlGHEM8m+c9U6xc+QZO6BzxaF+fP69UsIeHKxXpK1fCrFlK5WOrVhATA+++q/RSbNpUmXvdlAb3gYAD2rwn8x516WpYvVF5fe48tGoGg3rDZ28wK7Cxgi1DNOfXG7rWK884RWjdOuK5zzgbNiSyf38yxYpZM2FCAbZs8aBx47smeS7q+zms/BzuBWieKa7Apn1QrzLUrQwfvw91+xj9sAZZWt4cGKitiFbOrWTCw53p0cOWlSu1+YCzM+ze7cilSxl88YVppmacTgkqYE8fjNzLKA8sLS805PBtqL0KCjvC0FqwpQs0XAfRydqewLNPwXbNCCsD98DdD6F7JVhmhs4Fy49qX1+IgMg4ODQRyhWBsDw0/nyZZ8DNm3WOfQFCQpQp7Hx94dCh1z92bq5ceUrt2uc1ZYWFWLOmPM2bX8bLy46WLV2pU+c54+ebyePHj7lx4waDBw9m6FBtS4e0tDRcXV2NcgypUP8/pKkHFHWA272062ys4HsfGFsDym4y/LmgB8qwGWWc4eprzCPTmq54UZUNLCIR7RckoUwW8TDbPK4PicIFbfeWS5zlEmdxJD+pKJl1fXyJI2/DodarZ4u7uzVnz2qb09rYqGjWzJaPPnLEzu4B+/c/w8vrIYUKqUhLg/h4NZGRhQkLM9bYLqmQpmky+uws2NUHl4/h4Yicu6ZoHiZsvfQr1G2rQLGDSs/0uNlGigvq1bPH3d2Gs2d1huC3UdGsmSMffVQAO7tQ4zUseEVN3TVpuad2nY0VfN8AxlaDslv19x9YAR6mwM7cp7HNs/h4ZW5OLy/Dd3hBQcofy8vLNBXqkZFwKVtngMuX4b2uymt7e5gzG/y6KvO/gnKzWLs2TPjEtBXqmYXm7gX0C9Dd3eCcJim3rAWNKkNKtoKof+bDhsMw4Ie8xRB2F3wHgaMDuDjB/Rj45Ttl/X3NPIfuhbSvM9+fM8LQkLlZuLA6HTu606zZCSIint/6NCgoDgAvLyejV6jPnQDf/AybNVNjXrgGpT1hytCcBYNN6kHlctDzE6OGoB/PVKWX+uZdmniuQOniMOVD81Sozx2v9FLfrCnEuHANSheDKYOVCnVQGmjU6QEu+SGfLcQ8gr82wD9GKmduix8VqMpafsx2HVWa1Udnu47G8ABXzXU081qrO2d6OunEEYsLbkaJLzVVndWL8OzZJOrXd+Hjj0uwefMD7OyscHW10eul7u6ej/v338zDV3y8mqtXM/Dysmb//lTs7FS4uqr0eqm7u6u4f998FWzJyWncuJHAjRsJBAVFcfXqBwweXJlvvnnOBNZ51LQ4FHWE2wO162ys4PsmMLY2lF1tskNnsbT7jMhI7Tx9mS5fhvfeU17HxCg9+gzt06SJaWIKiwDfUeBor7l2PYRfvoSwexATp8zBfelWtnjClSHhTel+nPKvu6uB67pmTt6WNZR5wgv0g0RN25BRy6B1TejvC9/uMG5Muvdhhw4pCefSJf37rcuX1ZQqZfpakqy/j5v2deb7c7e07zcdV5airvA4RRnOcnxHCMvjnHYvSsvmsnBhJTp2LEyzZv8QEaEtiCxXzoHRo0tSrdopLl1SKs9DQpJo2tSNUaNKMnJkqMliepm88H6y8tyhy1oFBe3hvhHq+uvVs9M8k3pqY7BR0ayZHR995MySJYmUL29DXFwpvc9t21aEY8dSaNHifvavNKrIyCQuXdJ/7r58+SHvvVfRpMd9XeWKwOiWUG0GXNK0QQi5C029YFQLGPmcAd9ehqXdN2cqVRLe9oWuvXNuS0hQlus34K/T8Og2+HWCX4xxX61OhSea8ozEs+BSH0p+DFd0yjOKdgNrR7j/Zlv0GHw+DoX3/LTvz56FOt7g4gL58inX+r9OKJU9b0JmZXrpgtByoeHe6cVc4PBoOHkThpmoQvC+ZroL9wLa15nvz13X7lPUTf9z1lZQ0EX/M3m1cGFVOnYsQrNmQbk+I3fr5oGjozVr1765hka6zxSWQLnvAS8vpVfi6NFQrZr2+h8SolSmjxql9Fg0lVIl4O3m0FWnB2RmxfqlbGUpl68q+78pmZXppQtCy/n659f9BCjqrL+/tRUUdFS25YVyXbfh7FntdVu5rjvw0Udu2NldJyMDEhIySEjI4Pr1VP76K5JHj8rj5+fEL78YHpUhL8IiwHd4tmeKOcr6pnWUka9u79Lub2MD338MY9+Hskae3srS82bl3MrAy0vbZTd/fggMdCQxUY2fXzJpeZuS3KCplKA5rvTjGlG8Wg/4GFIpmK2KzhpwxYaYV/yuF7G0vBAgORVuxClL0D24OhQG14Rv/oJIzb36JZ2y3mfpEBYHpUw3C+ErCdKUi3sVzVuF+us8A968CdHRyrXEFBXqSlmh8tx39mwy9es78fHH7jx5kkH58nbExXnr7b9tWwWOHUukRQsDox0ZiZWVFWq1fjlBqs7wIElJSh68fPlyGjbUH7Lb2to46V4q1P8PWXcNDmRrkb33HWX9qudUGtUupPSayD7U3ctoTVcqUoONLCYe/bvseGJJJI6CFNVbX5Ai3CDniZOMkqBr0oA0UrlF3mq6Dh58RvXqMXrrVq1yJTQ0jW+/faxXiPvwoXKitWhhS9GiVuzcaZrWaGAFKjvDm/LVVv5Ni9Sus62q9FpPXAOPphk1koMHk6leXb8n/KpVxQgNfca33z40W2U6wLobcCDbs9Petsr6VVdz7j+wIqy9rgznaCpOTlC+vIp16wwfpHZt5WYsMtI0QZw4AZWylWtVrKi0WgZlmKR8+cjxu6Wnm25ol0w370NkLLSqBcGaJOXsAA0rwZLdyvsxP8E0nTIWz4Kwbzb0/AaCjFiOmvxEWdycoe1bMNEfbkZAZLQyT3awJltxdoKGNWCJiXrML1xYHT8/D3x9T3Hr1osz19q1lTu9yEjjDwPt6GAgXWQYTheDu8I/FyDEhA0NXiWeN8HRPmdvwfQMsDJQJ5Ogefb1KgXeVWH6orwfvy1+VKI661hCXLbraByxJBBPIYrorS9EEW6gnDiR3CWNVApRlDvcAsAKK1wpQDymGVrJygrs7Kw4cyaRZ88yaNXKje3blettxYoOlC5tz6lTeSypeElK3mzFunUZnDmTzrNnalq1smH79lRNPFaULm3NqVMmeCp+TVZWKuzsTPuAui5UmQNY1953lfWrXnIqlbyytPuMEyegUiX9dbrX0dRUOH36+fuYSvJTZXFzhrYNYeKPSmX66ctQSb+OjYolIdy09WvcjILIR9CqJgTfUtY5O0DDCrBE0/jIUXM7mz3/zFCbJj/XvQ+7dQsiItRUqqQCnRGtKlZUERBg+oR184Hm71M929/HC5bszbn/A007qYEtlPkt94fk7fgvSsvmsHBhJfz8iuDre4Zbt/TvZRwdlQSRkS2xvIl71JfJC09FKkNC1i0CZzWFXC1LKvcBQXls/ABw8OATqlfXf0hftaowoaGpfPttPDExGSxdqj8u7YULxRk3LpZdu0w/9MqJExFUqlRAb13FigUJD38z1/FX5aiZUSbHvaTa8L3bK3+/hd03ZxrYR5mveLeBPEaXSqUsdqaaiUxlBVbZyjOKDYaYnZAaY/gzJnLipIHn4woQbqCRfYImOXt5gXc9mD7D9PFlVqZXKAItFhmeG93TValMP3MHBm5QGl6Zws1IiHwIrepCsKZ9hLOjMjf6Ek0D4lOXoIAz1K0AZzWdJ1vW1eSFRir3XriwKn5+7vj6Bj33GXnw4BLs3PmAmJg31ztS95nCEijxwLp1yvSUYJ6ynoG9NXnPPu26W7ch4h5UqqC/b8XySk/2NyGzMr1CUWgxD2KzNYA7dRMKOELdknD2jrKuZSVNer6Vt2Mrzzj6N12rVrlrnnEeGXzGUalUSt5sZ9qGn3rPFD4wcSFsOwQH/tbfb+8CWBcAq3YZ/p68sPS8WXuuKxmuszPs3etISgp07pxsnNFdsplKCd7GlQFcJ4JXz9fO8RhXbKiKA5c086g31MzGHoJxR3qytLzQECsVZBannLkPT9OgUiE4obndtrGCMq5gKbeytTXP85Gv0YlV1+s8AxYvDoUKKZXxb0JmWeGMGRH8/LN+64ELF2oyblw4u3bFmTSGIkWKcP/+fdRqNSrNsBfnzp3L2u7u7o6npydhYWH07m2gpaoRSIW6hXGyAS+d0QfKukCtQsocb3ceQ2y2jD81Q2l1n9nz3KcoNCwKh+9BYio0cgf/RrD+OsS9Yp7ehveoSj22sYJnpOCE0vwvhaekaVpIBXGYJrTjAfeIIoIa1KcgRdnB6qzvqUsTIrjFM1IoS0Va0Jkj/EHKK8wnYkhSkpqLF/V7mj9+rObhw4ys9QMG2HP5cjrR0Rk0amTL/PnO+Psnc/WqEXqoF5gDTwIg7TaonCF/L7D3hfttlWHd8/eC5D2Q8RDy1YSC/vDkKKRqhsOwraZUpj/ZCwk/gLW7sl6dDhl5f1hNSsrg4kX9BPP4cQYPH6ZnrXd3t8bDwwYvL+WJvEYNOxITM7h9O5VHj/J2cXWyAS+d1mJlnaFWQSUNPzctZ7sgtiwG5ZzhZwMV7Xkxd64Nu3ZlEB6uxtNTxcyZNqSnw6ZN6ZQrp6JXL2v27Enn4UOoWVOFv78tR4+mc/68aZ6C/efByRMwZYoytFeDBjBsKAwbrmxPTIQjR2Dud/DkiXJBbd5cmadovBF6TTjZg5e2Yw1l3aFWOYhNhDvRMO83mPY+XLunFMTP6gv3HsJvmiHr7mRrhZekeX6+EQkReRuMAoA2bymFR1dugVdJpddx6C1YpelJMm89TBsG124rFeyzRilDev9mghZ6ixfXoFev4nTpcprExDTc3ZVCp/j4VJ4+zaBcOUd69SrOnj0PePjwGTVruuDvX42jRx9y/nziC7791e06DFOHw+1IZejKOlVgfH9YmW16EGcn6N4WPplr9BD04zkAU0fD7XvKkO91qsH4IbBSp3FDAVcoVRw8NdlepfLKv/ejIcrIUzHvOgpTh2r+PjegTmUY3xdW/qbdp1triH6k7FOjAsyfBL8dhv15HJKxHV2pTh22sCrbdfQJaZo5sv7iCM1oQxSRRBFBTbwpRFG2obRQeUYKZzhFM9qQQBxxPKIRvgBcJo+1NsCcOWUJCIjl9u0UnJ2t6dWrKL6+brRtG0JCQjorVkTyww9exMamkZCQxsKFFTh5Mp6gINM8vcyd68CuXamEh2fg6WnFzJkOmrz5GQkJalasSOGHHxyJjX1MQoKahQsdOXkylaAgY408o8/JyQYvnRuzsmVdqFWrELGxKTx8+JSpU+uxc+ctIiMfU7iwPaNGVad4cSe2bs37hIdOtgbuCQtr7gmTlH91ZV1H47TrSuZXemGWclZ6ZNbSzLN3PR4e57Gxu7nvM7Lz94eTJ7NdR4cpS6a5c5Vh0v78Ew4fVuax7NRJGSLNFNo0VIaovHIbvErA3FEQGg6rNHP1zt0Am2cpw7sfPgPtfKBTY/D9KO/HdrIHL515CssWhVplIDYJ7sTAvD9gWje4Fqm5rn8A92LhN02B3Kkr8OgxrBkNX26FJykwtLXyPbuN0Ltk7lwrdu1S69yHWWnO9QzN9gxmzrQiOFjNuXNq+ve3onJl6NbNOOnmhX+f3TDtPbh2X6lgn9UT7j2C305rPzOqHZy8AklPlZ77c/vC5A0Qn8eBaF4mLRcoAKVKgafm3i2z8OX+fYgyQiWxrsWLK9GrlwddugSTmJiOu7tyPsfHp/H0aQahoclcu5bM0qVVmDDhGg8fKkO+t25dkI4dz+X5+HnNC0MfQcAtWN4KRhxWRm5b1Bx+uart9ZIXyjOpfoaqfSZV1kdF5bxG3b6dzq1bpm8M5u//DydP9mbKFB+2bAmlQYNiDBtWk2HD9r34w6/ByU7poZOpbGGoVVKpDLkTq1SAlCqkVDQCVNLcC96Ph6gECL0P16JgaV+YsBUePoZ3a0PrKtBxYd7js7T7ZlCecQb2hjUblQq0TGXLQM+usO8QRMdACU+YPB6ePIU9xvj5ys2B2AB4ehusnZVh3d184Vxb7T4O5cGtGQS/Y/g7HMqDdX7I5wFWDpC/lrL+8SWl93se+C+Ak3/ClEmw5VdoUB+GDYFhOr11u72n9My6fQdqVIf5P8Bvv8N+I1T6OeUDL502r2ULQa3iSsV5ZDz8OhjqloCOS5V7LHdNb9nYZEhNV9L4kdEQ/ggm/AZFdOarjXqNR0Ine/AqrhNPMahVXvO8/gDmbYNpfeBahFLBPmsg3IuB344r+4fehoAgWD4BRviDrTUsGg2/HFYq4/Nq8eKq9OrlSZcuZzXPyPrXikzlyzvSrFlB3nnnn9y+yiie90wByghXHh5WWb00a9SwJjFRze3bGTx6ZPwyn7lzYdcupRzH0xNmzkQTD8TFKXPmLl0KEybAw4fKkO+tW0PHjkYPJYtKBQN7wZpf9PMegLmLYOZkCL6gDPfe/wOoXAG6DTDOsZ3sDJxfJZRrRWQ8/DoU6paCjj8qPc/dNWWLsY+V8yv0PgRchOW9YcQmTXruAb+cyXullnJd1y9A1z7jPKNsWRt69nRm375koqPTKVHChsmTC/DkiZo9e4w7GmGmNj6a8rBwzTPFx5rysJ3K3Omx2f7PqWlKL/arJmiMae68Obu5c+3YtStN51y3Iz1dzaZNqTg7w759jjg6qujTJxkXFxUumrQUHa02SgPw6ZSgAwX4iJs8Jp3Cmqq2RNJJ0TQMLowNhbGlFErZYUXseUwGkTwjnnTCSOEYCXxJKWZyBxtUTKMEe3hENHm7VzR3XuhkC1467TrLukKtohD7BB4+hamNYOd1iEyCwg4wqi4Ud4atmsaMic/gp3MwswncSVAq0T9toGzb+hqdt154n+oEpQqCp5uyvZLmeTHzPrVcEejlA3tC4GES1CwJ/u/D0Stw/u6rx6PrRc+ATk4wYwZs26Y885UvD999B9evw94XNMh8HXPmlCQgIE6nrLAwvr4utG0bSlRUKlFROe/zbt9+xq1bpurEqvD19SU6OprvvvuObt26ERgYSEBAAC4u2kqomTNnMmbMGFxdXWnXrh0pKSn8888/PHr0iPHjx+c5BqlQtzDeReBIJ+17/0bKv6uvwMCjhj+jKyUd3i8PX9RTWvPcTFTmVP/hNcrc66KMf9kb/VK93WzkvGau13/4ExtsaUUX7HHkAffYzE96w7l7UoqmtMMWO2KJIpCtXMS0N8+ZKlWy4euv/x975x0eVdE9/s9NryS0EHon9Bog9CaCBRBEsEPEAlIERUFBBREQeX0DKAIWmlhAQQgCoQfpUiShBBACIYYQCKSSntzfH3eT3U02lGQ3u+/vez7PM8/ee2f23pPs3Jkz58yc8aBCBTuuXs1l9uy7BAWZScGx94FKq8GhKuQlQVa45kzP2AX2NcDlESg3ERR3yI2Gu+sh8VP9992HavfweElL+WRfhX/rFn6aRRg9ujwzZui12P376wAwcuR1Vq0qnRbqXwlCDcbdQbooGyv/gcD9D36fUY3gYBxcKKVSXJgaNRR+/tmJihU1Re/AgVwCAjKJj9fCqz/yiB0TJzrg7g7R0Srr1+fy6aeWM3odP66Fc587Bz76UAvbMnES/PSTvsyzz2n5P66BChW0wdi06bB0aemf798QQufpz4N0HfbKnRAYBJ//pg3ivxkP3h5w4Cz0/wgyzRt9qFi8PGDuW1CjijZYWL8Lpn1JQaimz1eAuyt885E2W/fA39B/jGX2O3zzzToA7NvX2ej6yJF/s2rVv2Rl5fHII5WZOLEe7u72REens359LJ9+apl9lMbPhlkT4OuPwKeCtgfksnXwyRLjcs8+rg3Cft5iETH08nwEsybD15+CTyVt7/RlP8InC/VlBvaFlQbbAKzVbSs+IwhmBplZnrkwaxx8PU33/7kFy36DTwzem6qV4b/vatsExN6C1Zth1rLSP9sfrY68zJtG14P5hXBdP/gX+3HAgUcZiAtuxHGdn1hGgkE/ups/yCOPgTyHI47EcI01LCWD0q9s8/FxYvXqJlSt6kRSUg7h4Xfp1y+cXbu01e+TJl0mLw/Wr2+Gs7Md27ff4c03LbcnWI0advz8swcVKyrcuqVy4EA2AQF3iY9XdfKkkZfnxvr1Hjg7K2zfns2bb1puf15/fx9CQ/Vx8oKCugCwcuV5Ro/+k8aNvRkx4lEqVXLl9u0Mjh27SbduGzl3rvTRA/x9INQgvFdQd+1z5TkIfEBjxCcBMLKp/vyUbtugnuthXyn3oX0QLKlnFOb4cRg8GObOhY8+0vWjE4370Y0btT3I3n8fFi2CCxe0EGoHD5pVlAK83GHuGKhRGe4kw/pQmLZMM3wBbPwTRn8O778MiyZpRrKnp8HB0s+Vwb8+hBrscRn0iva5cg8EfgWf/64ZFL4ZDd7ucCAC+s/S9+u3U7Tz2c/DnpmaofJsNAz6DMKvll4+TQ+zM9DDVAICcojXzSlduDAPFxcICrKnQgUIC1Pp2zeXyMh73/dB8a8HoTP150Ejtc+VoRC4GD7fpNN73gBvNzhwHvrPNtZ7OjSAmcPAwwXOx8Ab38CaP0sv24PU5YEDYeVK/Xn+fnozZmhGenPy5ps1Adi3zzik38iRZ1m1KpacHJXHH/+bzz5ryObNrfDwcODSpTRGjDjLtm2l99KYoy18YTt81RN2D9aiLKy/BBPM8Fv9L3D8+A0GD97I3Lnd+eijzly5ksTEiXv46SfLhDPxrw2h7+rPg3RbfK08BIErYGBrWGkQon+tbvLwjGCYuVlrHx9fBJ8Ngc3jwcMZLt2EEStgmxn2EbY1vRngkV5QuxYsLxTOPiMDunWGiW9CeW+Iuwl/HoLOj2gO9lLj5ANNVoNzVchJgtRwzZmeYPBiVX0FMv+FO8V48Bt/B+V76s87nNI+D9WBjNJ5co4fh8FDYe5s+Gi6ri18B34y2OqwalX473yoUkVbnbV6Dcwy0y56/rUgdIL+PEi3FdvKozBjGwxqoZ2HTTX+Xs9FsO8S9PXTVtc29IGYQntOKxN4aPz9INRgnBSkG16sDIHAz+HzX3T91tu68fpp6D/VuN96YQ58NQF2/0dbDb1+P0www0QVgDffrA3Avn3G4VVHjgxn1Sq90vnKKzX4998MduywbMSD+40pRo92YcYM/X4g+/eX08mbyqpV5jci1KihOc/1eg8EBFCg9zz+OHz2meZ09/DQHCQjRsC2bWYXpYBHekLtmrD8x6J5C5eCizMEzYYK3hB2FvoOgcir5nm2fy0InaQ/Dxqqfa48DDO2wCDd3Jywacbf6xkE+3RD0RdWwFfDYfdbur79b5hQaPtIS5CRodKtmysTJ3pTvrw9cXE5/PlnOp07R3PrlmUmeXt5wNyxUMNHN6bYA9O+1o8pyhJrt82F0d51V4N3PbfgXe/Rw56AAM31dfmy8R4BdeqkEBVVeofxc7pog6sxDunwAVFs1EUoHE4lxlK1IO8HGhUp8x5XmUYNltOAPGAnicyhlB5arN8W+vtCqMHWxUF9tM+Vp2H0dmhcAUY8pTnTb6fDsRvQ7UfjEO/v7oWcPPjhSXB1gKOx0PsXSCyB39a/DoROMZDnOZ08ByBwuU5PHaXPX6ubKDJjE8zcBFk58EhTmNhXG0tH34H1J+BTM0SDuN8YMDcXWrbU+gZvb7h+HXbsgA8/hCwL2L59fBxYvbo+Vas6kpSUS3h4Gv36nWfXLuuGBmjSpAlff/01c+bMYdasWTz99NNMnjyZb775pqDMq6++ipubG/Pnz+fdd9/F3d2dFi1aMHHiRLPIoKiFg84LFiU2NpZvvvmG119/nWqbq97/CxZGNVjp8BmTii9YRkxFP0JQFDMvrygBqlpFf3LF8ns23o/TqeFs2LCBIUOG0LKl9efDqGqTgmNluRUF0aG+oj9WFMuHULwfqqpXShQrhbvOJzzstL7uTGlhXWEAdav+WLHwXrEPgmrgvFAUC8TFekhUVT+zSml6j4JlhGpgc1VqFV+urAjfYlCfX7CB+mxQfz5lsvUE0TGd/xQcK0qo9QQBVLVnwbGimHGDxhISHh5j0I8esLY4qKp+Kr+yyIqC6FANDLyKYrl9rx4UIz3D+moY4eEGbc8bNtD2HNIfK0OsJ0c+qsEKT0Upoxl3xaCqjgXHyjNWFESHamDgtbm63NIWxlyPFBzbXlt41Wpy5KOqdQqOFeVz6wmiIzz8MX39WWQDbeG3+mNr681GOrMN7O2pGto899hA49Nbb35UHO9RrowIP2nQFn5rA3XZoP1TeltPjnxUg2hvimJBz+4DoqqPFRzb3rjCBuqPgXVfqWA9OQBUg59HebP4cmWF+rX+WFEsNzn8QQkPz9DXnVdsoO4YRGCyhbbZMMCJolg/rreq6jv0pvxtRUk0ztGm4Njm2sKt1q3PqoGzXHml+HJlhWrgK7GFMaBRP6EctZ4gOq5fr1XgJ61a1fp+0gfFyi4eQRAEQRAEQRAEQRAEQRAEQRAEQRAEQbBNxKEuCIIgCIIgCIIgCIIgCIIgCIIgCIIgCCYQh7ogCIIgCIIgCIIgCIIgCIIgCIIgCIIgmEAc6oIgCIIgCIIgCIIgCIIgCIIgCIIgCIJgAnGoC4IgCIIgCIIgCIIgCIIgCIIgCIIgCIIJxKEuCIIgCIIgCIIgCIIgCIIgCIIgCIIgCCYQh7ogCIIgCIIgCIIgCIIgCIIgCIIgCIIgmEAc6oIgCIIgCIIgCIIgCIIgCIIgCIIgCIJgAnGoC4IgCIIgCIIgCIIgCIIgCIIgCIIgCIIJxKEuCIIgCIIgCIIgCIIgCIIgCIIgCIIgCCYQh7ogCIIgCIIgCIIgCIIgCIIgCIIgCIIgmEAc6oIgCIIgCIIgCIIgCIIgCIIgCIIgCIJgAgdrC/B/GfV1a0tgzFSCrC2CEapaxdoiGFNXtbYEcPp0waGqNrGiIEVRX7G2BMaoqqu1RTBCzbPu8w2qDupW68lhCjXc2hIYo6oDrC2CEeo5a0tgjHrN2hIUqs82Vn+m8x9ri2CEqva0tggFqGoFa4vA6dMxBceqOsaKkhRFnWBtCYyxOT3DttQw1EPWk8MU6gZrS2CMqjpaW4QC1F+tLYExNleX1UesJ4gJbK8trGNtEYxQ1fesLQKnDcek31pREBPYkt6sJltbgkL0toHGB4iOjiYxMZHwk9aWBK5d0w9s1EVWFMQE6h5rS2CMqj5mbRGMsL1xhRUFMYF6x9oS6FG/trYExqhqQ2uLYNyPHrOiICZQs60tgTGqWs7aIhhxjjbWFgEw6EttwB5m1JdOsaIghVCXW1sCY2yun1A7WlsEYmNjrS1CiRCHuiAIgiAIgiAIgiAIgiAIFiM6Oprly23Mwg14e3tbWwRBEARBeCCkLxUE6yIOdUEQBEEQBEEQBEEQBEEQLEZiYiIA/v7+1KpVy7rC6PD29qZmzZrWFkMQBEEQHgjpSwXBuohD3YooNtDmGYbuVY5aT458DKNNDOVH6wmi4zdeKDhWlHQrSqJhGMpFqWw9OfJRb+mPlZetJ0c+6mr9sfKM9eTIxzDEqKJctZocUKjuKNaTIx/DUDfK49aTIx/DMPhKPevJkY8aqT9WrB+RDPUf/bGiWD8GmE3XZxuISGYYYlRRIqwnCMZhw23htzKuO9avy4ZhsRXln3uULBsMQyAqyi4rSqJhGIraFvqK8Hn6Y1vTw+zj7lpPEB25VdwLjq3ddxn3W9aPhaiqLQuOba4tfN56cuSj/qQ/VmwgDLTaVn/cmb3WE0THIXoVHCvKl1aURCM8vGfBsc3pze9aTw4Adb7+WOlsPTnyMdyeRLGznhz5hIdpn7Vq1aJlUAvrCoNxONilBFpPEB2jWVFwrNjAVi7qEP2xzemFblYUREe4gQ1VsYHtSgy3LVCsvCWj4bvlmRZvPUF0pLhVKjhWbGBXIsMtL5SWxZcrKwy30VM+sZ4c+agf6Y9tYQxoZC9U/rWeIDry9fhatWrRsosN9KWG9qf/Wk8OAPVt/fEE5hdfsIxYhF4xVV6zoiA6DLdqUpS11hNEx/Xr3a0tQomwaYf6+fPn2b59u9E1RVGYMMEGNBVBEARBEARBEARBEARBEARBEARBEATh/2ts2qGelZVFYmIiiqKg6pZ/KbYwpV8QBEEQBEEQBEEQBEEQBEEQBEEQBEH4/x4bCPr0YIgjXRAEQRAEQRAEQRAEQRAEQRAEQRAEQShL/mcc6oIgCIIgCIIgCIIgCIIgCIIgCIIgCIJQlohDXRAEQRAEQRAEQRAEQRAEQRAEQRAEQRBMIA51QRAEQRAEQRAEQRAEQRAEQRAEQRAEQTCBONQFQRAEQRAEQRAEQRAEQRAEQRAEQRAEwQQOJf3iwoULzSmHSbKzsy3+DEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEwRYkd6omJiSiKgqqq5pTHJKqqoiiKxZ8jCIIgCIIgCIIgCIIgCIIgCIIgCIIg/P9HaGgovXr1IiEhAW9v7wf+XqlDviuKYtH0fxk7O/jkHYg8AGkX4dJ+mD7BuMzg/rB9DcSHgXoNWjU13/O7eUJwI4hpA2pHGFS+aJnGLrCpESS2g1R/+KsZ1HTS59dzhg0N4WZbSPKHtQ3Ap4TTOAbTjM/ozw8M43ue5j26Uw1PozKv04GvGMiPDOd7nmYK3alGuSL36kk9vuBxfuJZvudpXqV9yYQy4OOPHVBVV6MUEeFssuzWrU6oqiuDBllu14UrJ0C9VTR9NQ9q1zSdp96CoQPN8/xufhA8CWIWgroaBrU1zh/sD9vfhfivtfxWtYreY+lIuDQf0r6Dm1/BxongV7WE8jSB4CkQswzUX2FQoZ98cAfYPh3il2v5reoUvYezI3w1SiuT8gP89g74eJVMnnsxZYoXqlqHoKAKJvO3bvVBVeswaJCb+R9uQLVq8MMPEB8PaWkQHg7t2pkuu2QJqCq89ZZ5nt2tOQR/DDE/gLoVBnUqWmbmi3B9DaT9DjtnQ4Nqpu/l5AB/f6ndp1W90stmZwefTILIfZB2Di7thenjjMt8/BZE7ITUM3Dnb9j5A3RoVfpnFyvPRIjcA2mn4dJumD62aLnG9WHTUkg8Calh8Nd6qFnC9+lefPyxHarqaJQiIowb/oAAhd277UlNdSApyYF9++xxcTG/LPncqy47OMBnn2nXUlMhJgZWrYKqFvjfAFw5DWpy0fTVF0XLbl2v5Q16wjKyFGbKlIqoahOCgqoUXHvtNW/27q1FUlIjVLUJXl6W3S3o44+1tsQwRUTo86tUgdWrITZW+71OnIAhQywpT/H1uXZtiuTlp6FDLa/DTplSHlVtSFBQpYJrS5f6cOlSbdLS6nPzZl02bqyKn5+jRZ4/dWod/vqrPcnJPYmL687vv7ekUSPjfqlePVc2bGjJzZvdSUrqydq1LfDxcTJ9w4fElvsJsAE9zNGOTd7ORFdyJbeKO4Oc7Y3y3RVY5OlEVCVXUn3cOF3RlTdciyrpAY527CzvQrKPGwmV3dhb3gVzNNe21neNHl2BsLCGJCU1IympGYcO1ad/f/04o0oVB1avrklsbBNSU5tz4kRDhgwpOsYwFw+igzVuDJs2QWKi1h7+9RfUrFn6Z3drDMGTIWYxqD/BIH/j/MHtYftUiF+m5beqXfQer/WGvdMh6TutjFcpVNZuHhBcH2Kag9oWBhXSvdW2ptNkH32ZD3zhYCO42xoSWpZcFoCXqMX3tGMn3dhCFz6jObVwLcj3xIFJNORnOrKX7mygE5NoiDvG72AVnPkPLdlDd7bQhbHUx57S9x3dulUjOPhJYmICUdXxDBpk3KgNHlyf7dsHER//Kqo6nlatKhVzJ/PwIHqzIUs+BTUS3go0z/O71YXgQIiZDup8GNRMn+dgB589DuFvQ+psrcyqZ6GqiVf78cZwZDykzYE7M+H3EeaRz8MNgt6CqxsgbS8cXAb+TYzLNK4Nm+ZB4g5I3Q1/fQ81q5i+X2mpVg1+WA3xtyDtLoSHGbc97u7w5ZcQfU3LP3sG3njDfM/v1giCJ0DMf0FdDoPaGOcPbgvb34b4RVp+KxNt3t73tDzDtOSlh5elDU8whI94ha8ZwUL6MR4vfAvyPanIaFaYTPXQN5zVacJTTOMVvuZlFtCRZ1BKYIrtVhGCO0HMY6AOgUGF+sIV7bTrhmlbF9P3crKDv3trZVqZyZ5hbb2wMFciQE0rmr4KgvLlYdEXcP4UpN2GqAuw8D9Qzozderf6EPw6xMwCdREMaqHPc7CDzwZC+FRIna+VWfVi0bZn02sQNQPSv4Drs2D1S6bbpweSxwzvFkBAfdj9LqQugaTFsG8KuJRgqNHFzoF1zuW46FKeFLdKPGlvXA8qo7DUyYOLLuWJc63IBudy1Ff07015FOY7unPSxZubrhU551Kezx3dKWeGfhTgyj+gZhdNXy3S8p2dteP4G5CSAL+tBR+fe9+zpNjZwSdjIXIbpP0Fl7bA9NeNy/hUgBWzIGYX3D0K25ZAAxM21pLQrRYEPwsxk0D9CAb5Ged/3AMi3oTUqXDnXdj5InSors+v7QXfDYDI8ZD2PlwaBzN6gGMJzQq2PgYszJQpnqhqDYKCjBvbgAAndu+uRGpqNZKSqrFvX2WL2MTuZ39augAuhUFaHNyMhI0/g19D8z2/W3UIHgQxr4P6Ngyqb5z/cSeIGAmp4+HOm7Dzaejga1ymjQ/seBoS3oT4MbDsEXAvQbvTl468w4t8zlvM5k1e5Sl8MHZ2jWc4i3jXKA2jb0F+NSozgieZyRv8h4l8wCv0oG3hRz0Q3RpC8DiImQ/qtzCotXH+4DawfSLEB2n5ptrlepVhw5tw87+QtAjWvgE+nkXLlYSpU5vw1199SU4eQlzcIH7/vQuNGhnf/LXX6rF3by+SkoagqsPx8jKP7Wnp0qV4enqSk5NTcC01NRVHR0d69uxpVDY0NBRFUbh8+bJZnv0gyB7qNsyUMTDmJRj3ETTpDVPmwnujYbzB4NLdDQ4c0/LMjbsdhKXB2Kum8+s5w4GmcD4dekZAy9MwKwYy8rR8NzvY0RhUoHcEdDkLTgps9qNEKk5TfAjhIu+znU/YjT12fEgfnA2ME5HcYTFHmMgffMoeQOFDemNn8MQnacxztOJ3zjGJP/iE3ZziegkkKsqZM3n4+qYXpK5dM4uUmTjRnjII7ED7R8G3mT498rR2/ddNEB1jnOfbDD76DFJSYdtu8zzf3RnCrsHY1cXkO8GBizBlbfH3OHEVAr+DJlOh33yt3ux4D+xKUIHcnSEsCsZ+X0y+Cxw4D1PWFH+PoJEwwB+e+S/0+BiqVYANkx9elnvh7+/EG294EBaWZTJ/4sRyZVJ/vL3h4EHIzobHHoOmTeGddyAhoWjZp56CgADNEWku3F0g7AqM/dp0/ntDYcJAGP0VdJwEdzNg+yxt0kNhPh8F1++YT7Ypo2HMCzBuBjTpC1M+h/deh/EGhrWLV7T8Fo9B12Fw9V/YsRoqmZ4jUTp5Xocxz8G4T6BJf5gyH957Fca/rC9TrxYc+BnOR0LPF6HlAJi1GDKKNlFm4cwZFV/f7ILUtateCQoIUAgJsWfHDpUOHXJo3z6Hr77KIy/PMrLcry67uUHbtjBrlvY5ZAj4+UFwsGXkad8TfBvo0yM659mvvxuXmziWMnnX8/H3d+GNN7wJC8swuu7mphAScpc5c26XmSxnzoCvrz517arPW71a+30GDoQWLWDDBli3Dlq3tqQ8putzdDRG1319s/noo1xSUlS2bbPsj+fv78wbb3gRFmb8Ep84kUFgYBxNmkTRr991FAV27KiOnQU0/h49vFm8+F8CAo7Rt+9JHB3t2LGjDW5u2sPc3LRzVYXevU/QpcsxnJwUNm9uhTnmzNpyPwE2oIcpCmHZeYxPMa1PfOHhRD8ne15OyqRZfDqL0rJZ5OnEAAPHe4CjHVu9XdiZmUvA7XQ63knn67RszNFc21rf9e+/2UydeoN27f7B3/8f9uxJZdOm2jRtqk2OXb26Jn5+zgwceJUWLS6yYUMS69bVpnVr81u+HkQHq1cPDhyA8+ehZ09o2VLrxzIyirvrg1OgM68oPv/ABZjyc/H3cHOCkDCYs8kM8uSPSaNN5/uGG6fAq5CnwvpEfRknBX5NhCW3Si9PG7xZTwyvc4K3OIUDdiygNS4600plnKmEE19xiRf5i9lE0JEKfEDjgnvYAf+hJQ4ovMFJZhHB4/jyKnVLLZ+7uyNhYfGMHbuvmHwHDhy4zpQph0r9rAfhQfTmfJ56FAJaQ8wN8z3f3QnCrsPYjUXz3JygbXWYtQvaLoAhq8GvMgSPNC43pAX88BysOAat/gtdFsNPf5tHvu+mQt/28NIn0OJF2PEX7FoI1XTzHOpVhwNL4XwU9BwHLV+GWSsgw3TTXiq8veHgAV3b8zg0bQbvTDZue/77X+jfD158CZo0hQUL4asvYcAA88jg7gxh0TC2mDG5uzMc+Aem/Hrv+3yzD3wn6tN79ylviqr4cZbd/M6n/MF/sMOeJ3kHBzTHXyp3WMVbRukYv5NFOtc4DUBFavI4k4jmNL8xg50soQ6t6cgzDy2PuwOEJcHYsOLLbLsBvlv06bm/TJf7vDlcN0N/YYi19cLCtO8GvnX16RHdBOVfN0C1qlqa/AE094eRr0P/vvD9EvM9390JwmJgrIm65+YEbWvArO3Qdj4M+R78fDQHvCF7/4FhK8HvU3h6OdSvBL+NKqE8Zni3AupDyCTYcRY6zIL2s+CrPVqf+7C4oXA6L4d3su+azP/FuRx1FHuezUqha0Yi0Xm5BDt7kT9Fw1exo6pix7TsNDpmJDA6K5W+9k4sdvJ4eGFM0L4T+NbQp0f6add//U37DPoCBjwBzzwLPfpok5E2lKCdeRCmvAJjhsG4OdDkKZiyAN4LhPHP68tsXAj1asCgt6DNcIi6Dru+ATfX4u764Lg7QVgcjN1qOv/ibRi3DVosha4r4Woi7HgBKul+rMaVNBvuG1ug2RKYtANGt4M5fUooj42PAQ3x93fkjTfci9h3AwKcCAmpxI4dmXTocJP27W/y1VepFrGJ3c/+dOIUBI6BJu2h32A0+8FGzGY/cHeEsFswdo/p/IsJMG4PtFgNXdfC1WTNeV5JV3erusOuoXApETr+DP03QLOKsLLfw8vSgJrs52/+yxoW8yv22PEmz+CEceU4SBjT+LogBaPXqWtRhRTS+IEtzGUFOzjCALrTjTaFH3df3J0h7F8Y+1Px+QcuwZT1pvPdnGDHRM1u2PsL6DIPnOxh83jM0q/26FGZxYv/ISBgF3377tP16z1wc9PbC9zcHAgJiWXOnHOlf6ABvXr1IjU1lePHjxdc279/P76+vhw9epQMg0Hv3r17qVWrFvXr1zd1K4tQ4pDv+ZRFyPf/q3T2h007YKuu0Yn6F54baLzKcc0G7bN2DfM/PyRJS8UxuyZsTYIpBsaNSAMDVxdPqOMMbc5ASq52bUQkJLSD3uVgd/LDyTObvUbniznMcoZSj4pEcBOAXVwqyL/FXX4hjC94gsq4E0cq7jjxHK34jFBOE1dQNorEhxOmGHJyIC6u+PxWrRTeeccRf/8Mbtwwg2ZzD+IL+T6mToBLV2CfznYSd9M4f/ATsG4T3DWtzz40IeFaKo41Ojlq32NRxLeh+uOoeJi+HsJnQ53KEHmz2K+ZlueUloqV50+dPJVN55dzg1G94fmFsPeMdi1wMZxfCB0bwtF/Hk4eU7i7K/z4Y2Vee+0206d7F8lv1cqJd94ph79/LDduWHZ1+pQpmrPolVf0165eLVquWjVtlUK/frBli/meH3JcS8Ux8Sn49BcIPqKdv/wFxP0ET3WCtX/qy/X3h0fbwNOz4fHSB6IAoHNb2LQLtuqapKgYeG6Acdv8cyFn7Nuz4dXh0LIx7DGz/bJzW9i0G7aGGsjzJHQwWIE1exJs3acZMfOJvGZeOQy5V1sYFGTHokV5zJunHy1cvGg5XeJ+dTk5GR591Pg748bBsWPaSr/oYgz4JaVI2/w2XIqEfQf011q1gHfGgX8PuHEJi6O1PdV47bVYpk83bpQXLtSsqD16WLbNMeRe9adzZxgzRvt9AGbPhkmTtNVTp06VrTx5eUWvDx5sx7p1qtn6UlNov5cvr70Wx/TpxrN0vv1Wr1xFReUwffptwsNrU6eOI5GR2WaV47HHThmdjxx5llu3etCuXTn270+kSxdv6tRxpU2bo6ToFMERI86SkNCT3r0rsHt36awXttxPgA3oYVm5hGTlFpvfycme1Rk57MvW2uJv03N4zdWB9g52bM7UvveFhxNfpmXzeZq+7lzMLf6eD4Ot9V1//JFidD59ehxjxlQkIMCNc+cy6dzZjTFjYjh2LF2TbfZNJk2qRLt2bpw6ZV6vxIPoYLNnw9atWtl8IiPN8/yQMC0Vxxpdf3UvHX5hiPbZo0nxZR5YnmQtFUdcjvH5IG/YmwJXDGyXM2K1zxFmmNj4NsYDnE+JYCtdaYwnp0gikrtM42xBfgwZLCOSj2mKPQq5qHSgAnVwZwKnSCCbf4BvucKb1Od7rpBDyfWikJAoQkKiis1fs+YCALVrm2n5yn14EL0ZoFoV+PJj6DcSthQzAbokhFzQkimSM+DRb42vjfsdjr0FNb0hOhHs7WDhQHj3D1h+TF8u4iHHoqZwcYKne8KgqbD/lHZt5vcwoAuMGQIffgOz34Cth2GKgeMg0oyTmA0paHsMHHaF257OnWDVatinsy1/+y288Tp06ACbN5dehpDTWiqONYe1z9oV732ftCyIe0h7U2G28l+j8718z0gWUZk6xHIRFZV0jB9Sl7Zc5hg5aIax+nTgNv9yAm1wmMxNjrCOvrzJCTaRzYP3HyFxWroXmXkQd59JZ/2rwKM+8PRReNz33mUfBmvrhYWJjzc+n/oOXLoM+/Zr50MNnJGRV2DaDFizHOztwRyqTkiElkyRnAGPFnIGjvsNjk2GmuUhWjeJZUGoPv9aAny2Eza+qq1wz3lIx5s53q2gZ2HRbphn4Fi9WMIJUDvzstmZZ3ps0kCxo4O9I+3TEzivaj/GxOy7XHZw5hl7Z1blZhKh5vJill53u6LmMTP7Lt85eWIPlPYnLFJ/3oNLl2Dfn1okg1GB8PxLsDdUyw98Fc6fgY4d4ejRUj68EJ1bwaa9sFVXd6Ouw3OPQYfm2nnD2tCpFTQbDOd0CzTHfAo39mrlvt9QuueHXNJScfx8xvj87R3waltoWQX2XIHtl7WUz5VE+M9hGOMP7+4sgTw2PgbMRxuzV+C11xKYPt04tERQkBeLFqUyb56+Dl+8mFP4Fmbhfvanb1fq86KuwfRZEH4Y6tTW2sbSEnJVS8Xx83nj87f3wastoGUl2BMNT9aD7FwYu5sC7Xj0bjj9MtT3hsuJDy7LEn4zOv+RbcxhHDWpwmX+LbieTTYpmB6UH8G4wt8mibpUoxUN2c/DzbYMOaOl4lijq8PFtctdGkCdStBmFqTo1IkRKyBhAfRuDLuL6YMelMce+9PofOTIv7h16ynatavA/v3aLOWFCy8CmvPdnPj5+VG1alVCQ0MJCAgAtJXogwYNYs+ePRw5cqRgpXp+2Pa8vDzmzZvHN998w40bN2jUqBEffvghQ4cOLbjv1q1bmThxItHR0QQEBDBiRMlCTpl1vYqEfDcvh45Dny7QUDdRvWUT6NoetoVaVSxAWyn8hDdcTIcQP4hrC0eaGYeFd1a0xi7TQNHLyIM8oKsZxu9uuhlEqZgeMThjTy/qEUcKt0kDoCW+KChUwI0FPMkyBvM2XamIeRwFDRsqxMS4cPmyM2vWOFKzpr4Ou7rCTz85MXZs1j2d7pbA0RFeHArLi5n11LYltGkB3/9YtnI9DG5OENhNc6RHl91CyQLa1dPCAe0ysKFduA5Rt6BTI/M8Y/HiimzZksbu3UUH1q6uCj/9VImxY28TF2ceY/a9GDgQjh/XVn7GxcHJk/Dqq8ZlFEULRzp/Ppwz72S0e1LXF6pWgF2n9NeS0+DoBehkYLj18YZvJ8BLX0CaGVezHToJfTobtM2Noas/bDO9EAhHR3j9WUhMhrBSKjTFytMJGtYxkKcdbNPpPooCT/SEi1chZDnEHYEjv8GgR8wvSz4NG0JMjAOXLzuwZo19QQjaypUhIMCOmzfh4EF7btxwIDTUni5dLNffP0hdLoyXl+YsTUy0mFiArm0eDst/0F9zdYWfvoex7xR1uFmKxYt92bIlld2708rmgfdBqz9w+TKsWWMcwvjQIRg+XAvVqCjasYsLhIZaWp6i9bkwbdtCmzYK339voXALOhYv9mHLlrvs3p1+z3JubgqBgeWIjMwmOtq8znRTeHlp83Tv3NGe5exsh6qqZBooghkZeeTlqXTt6m1RWazdTxTGFvWww1m5DHC2p5ou7E9PRzsa2duxU+eEr6xAgJM9N/NU9pd34XolN/aUd6FLSeMzFsIW+6587Oxg+HAv3N3tOHxYaxcPHUpj+HBvype317U9Xri42BEammr259+v31IUeOIJuHgRQkK0MkeOwKBBZhflfw4fB3jCC74vw7GCu26NQjLFG0I9cOAuOeTqTIHN8eIyqSSgb5uPcgcPHKiHu2UFLmMeRG9WFPjhC5j/LZwzwyTl0uDlqtMBdV1s2+pQw1tbgXlyIlz/ELaOgmZmCLnu4KClwlE30jOha0vdu94JLl6DkCCI2wJHvoVB3Uv/bFMMHADHT8C6tRB3A06eKKozHzqslaumC5/bsyc0agQ7dlhGppLyQgDcWginP4E5T4OrGaKKO+m2dsgoxsheidpUojbn2V9wzR4HcjHWwXLIxgEnKmNiv4xS0rMSxD0O5/vC162hQqG/28cZvm0LLx2HNAubFGxJL3R0hBefheXFRE8EbfyXnGweZ3pJ8HIxbnsKU94NXvCHQ1ce3pluDip7aivUbybDwQ/gRhCEToEuZgwNnY+TLsJopsHkMhXIVFU62RcfTtgLhRTUUjvTC+PoCC8+D8tXauft2oKTE+wyiCp14QJERUGnADM/HDgUBn06ao5zgJaNoGsb2KZziDrr3nPDvkRVITNLK1eWONrB6+0gMQPC7jHZwssF7tx7KFsibGkMuHixN1u2ZLB7t/EDKle2IyDAmZs3czl4sDI3blQlNLQyXbpYZvsLQ0zZnwxxc4PAFzVHevS/pstYEkc7eL2Frv7ooko520NWHkZTTdN1KnfXYkL5PyguaJHI0gpNbvOnKXMYy1RGMoBuON5nPbILzkXuURY4O+jedYMhSEa2prN2bWD+5+WHc79zxwJhkkzQq1cv9u7VL67du3cvPXv2pEePHgXX09PTOXr0KL169WLu3LmsXr2apUuXcvbsWSZNmsSLL77IPt0s0OjoaIYMGcKAAQM4deoUr776KlOnTi2RbGZ1qKuqavb0f5nPvoZfNsP5vZB1Gf7eBguWw08brS0Z+DiCpz1MraatYn/0PPx+R9svvbvOWX4kFe7mwrya4GqnhYD/Ty1wUKBqKbdUUIBA/IngJtEYL6PvR0N+YBg/8ixtqMYn7CFHF5yyCh4owBCasYIT/Ic/8cCJj+iNQylfh6NH8xg5Mov+/TMZMyabunUV9u93wkMXcSgoyJFDh/IIDi577fepx8HbC1YWE5px1Atw7gIcPmY635qM6QMp38Dd7+CxltD3c212Wlnj6w2Z2ZBUyN8Ul6TllZbhw91p29aJ999PNJkfFFSBQ4cyCQ62gNZpgnr1tFWg//yjrT5fsgQWLYKXDUKxTpmirdxctKhMRCrAVzdxJ65Q+Pm4RH0ewMq3YelWOGFmw9xnS+CXP+D8Tsi6AH//AQtWwE+Fwpo+0RtSTkNGBEx6Bfq+DLdNhMwvtTzL4JctcH47ZJ2DvzfBgpXwk26VvE9F8PSAqa9DyJ/waCD8vgM2LIbuHcwvz9GjKiNH5tK/fw5jxuRSty7s3++AhwfUq6cNjmfMsOPbb/Po3z+HkydVdu+2p4EFFD54sLpsiLMzzJsHP/8MKSmmy5iLp57Utc0GTrSguXDoKAQXE1LN3AwfXo62bV14/30zxME1A0ePwsiR0L+/9rtp9YeCvnTYMG0geOcOZGbCsmUweLDmfLeMPMXX58KMGmXHuXMqhw9bTn8dPtyDtm2def/94r1FY8Z4kZJSn7t3G/DYY+707RtDtoX96YoCCxY04sCBRM6e1QzNR44kcfduHvPmNcTV1Q43Nzv+859GODjYUbWqZQ0G1u4nCmOLetiElCwicvKIruxGho8bW8u7MD4li/26Fev1HDS9+GMPJ75Pz+HxxAz+zs5jZ3kXGtiXfhKUrfVdAM2bu5CS0ozMzBYsXVqDwYOjiIjQjGDDhkXh6Khw546Wv2xZDQYPvsrly+Y3KNyv3/LxAU9PmDpVc6g/+ij8/ru2BUZ3Czna/lcYUVGLjLYhsWyepwATaUAYiUQW42TzwpFA6hBssMVYRZyMnOkAd9DqUgUsb1AtSx5Eb54yGnJyYdFKq4kJaIbJeY/Dz6cgRWf/rqeLajDjUfh0Nzy5HBLSIXQMlC9lwLnUNDh0Gj4MhKqVtMk8L/SDTs2hakXwKQ+e7jD1JQg5Ao9OhN//hA1zoHvr0j3bFPXqwZjR8M8l6NcfliyFRQuNdebx47WJ1DH/QlYmhGyDseM0Xc1W+OkovPgN9Poc5m6FlzrBmtdKe1eFLjxHLBdJwHSIgCZ05w4xxBlETYzmDFVoQAM6oqDgjjft0OLtuuFdWqGMCImDl09AnwMw5Qz0qATbOhsbfVe2g6WRcCLRrI8ugq3phU8N0LY0WFlMuPOKFeHDqfBNMVudWBpnB5g3CH4+qV9lmM9nA7V91u98BrXKw6BvTd/D0tTTLT6cMQi+/RP6B8HJKNg9GRqYee/wi2ou1/JymeHojjcKjsAkB1dq2NlTRTFtt62IwnuObqzIMb9T66lBuvqjm5Dh66uNQ5MKRXSNuwm+ZphsVZjPvodfQuD8Jsg6AX+vgwVr4CedveD8FW3V+ty3wNsTHB20kPA1fbW+pSx4oiGkTIWMaTCpI/RdA7eLMV3WLw/j28OyE+aXw1bGgMOHu+rsu0XD/tarpzlnZ8wox7ff3qV//3hOnsxi9+7KNGhQ6kDS98SU/QlgzKuQch3u3oDH+kLfp7C4/cCQJ+pCyjjIeAsmtYO+6+G27lXeEw2+bjDZX3O4ezvDZ7otAauWYg6q5hvqzWX+JRZ9SIoTRLCaLXzJWnZxlPY042WeKPY+dalGW/w4VCiCVVlwJBLuZsI83cRBNyf4zzPgYA9Vvcz7LK1fb8OBA7c4e/Ye4azNSK9evTh48CA5OTmkpKTw999/06NHD7p3706obkXN4cOHyczMpGfPnsyZM4fly5fTr18/6tWrx8iRI3nxxRdZtmwZAEuWLKF+/fp88cUX+Pn58cILLzBy5MgSyVbiN9Xe3p68vDwURUFVVRRFoVatWtSpU6ektyzCzZs3iYiI+D+7Un3Yk/DCU/D8eDh7EVo3gwUfw/U4WP3bfb9uUfJVmE0JsEA36ywsDTp7wmgf+DMF4nPgmUuwpA5M8NVWpv98G07cpdR7L75Ke2rixXSKToXez1XCuEF5XBlIE96mK9PZQTZ52KHgiD3LOU4YmuALOMi3DKEZVQgjtsQyhYTo/6rTp1WOHs0iKsqFYcPsuXVLpXdvO9q0seDyp3sw6gVtT85YEyvjXVzg+adh1hdlL9eD8OMh2HkGqnrD5Mdg3Vjo8qnm3P7/hRo17Fm4sAJ9+94gM7OoI2bAAFd693ahTZvrJr5tGezstNVR06Zp56dOQfPmMHq0todx27bw1lvapy0yfiB4usLcdea/97An4IWB8PxEOPsPtG4CCz7Utc0G4bT2HobWT0Kl8vDas7DuS+g4BG6ZedXUsMd18rxtIM80uH4TVv+u3/to027NWQHaSvnObWH0c/BnMXvrlZSQEH0d1trCXKKiHBg2TCFCt0J/2bI8Vq7Uyp06lUefPna88oodH3xg/glH96vLhjg4aCsCFUVzZliaUS/Dtp0Qq+tHBzwGvXtAm673/p65qFHDgYULq9C37zWTbY81CAnRH58+rTnYo6I0R/ry5doewd7e0KePForvqae036xbN23vdfPLU3x9Xr5cn+fiAs8/b8esWZabNKf9XpXp2zfmnr/Xjz+msHNnGlWr2jN5cnnWrfOlS5d/LfobL17cmObNPejaVR9/Lz4+m2eeCWfJksZMmFCTvDyVn3+O48SJZIvsD/ewWLKfKIwt6mHj3Bzo6GjPoIQMovLy6OZoz5eeTlzPy2N3Vl6Brv9NejYrM7Rp76dSs+jtZE+gqwPTUkuniNla3wVw4UImrVv/g5eXPUOHerFqVU169LhMREQms2b54u1tT58+kcTH5/DUU+VYt6423bpd5swZ8xpv79dvFfxvNsGCBdpxWJi2Jcbo0fDnn6bu+n+DVyrCj3egrLq0d2hEPdwZXUyIRzfs+Q8tucJdvuNq2QhlY9xPb27bHN4aCW3NtAd3SXGwg3UvagbWMQb6vC6IB7N3wwZduOTAtfDvdHimFXxzpHTPfekTWP4BXA/WJiqfvAg/74J2fgbv+n5YsFY7DvsHOjeH0YPhz1Ole3Zhim173tDrzOPHQ0AADBio6Wfdu8Pir+D6ddi9u9hblynfGkQ/OBMDsYmw5z3NIRhZwvmj3XiRCtRgI3NM5tvjSAMCCkK75/MvZznCWrrxMr15jVxyOEEw1fBDLcXWDqZYa7Ca8EwyhCdBZH/oWRn23ILx9cHTAeYWswWCObE1vXDUCNi2A2JNmPs8PWHLBjh3HmZ8alk5TOFgB+sCdW2PCZ10/m74/jDUrgAf94fVL8GTy8pczIK2cFkorNStjD51Dfo0gVe6wQfF7PFbEnKAFzKTWezsSbRbRXJUlb152WzPzcKUd8AThV+dy3FezWVOtvkjro0KhG0hputPWTCsH7zwBDw/Fc5ehtZ+sOA9uH4LVuv6jiGT4PuZkHBQO991VAsRX1bulL1XofUybd/019rCuqeh4/dwq9DPUc0TQl6AX8/Bdw8XHdtsWHoMqNl3venbN55MEy6A/L592bK7rFyp/YNOnUqiTx9nXnnFjQ8+KOV+JfegsP0pnx/Xwc69ULUKTJ4A61ZCl0cxKb8l2BsNrddo+6a/1gLWPQkdf4Jb6XDuNozYDv/tAXO7Qm4eLDoFN0rpW3qGvlSlEgsxDiFn6BiPJZ4k7jKe4VTCm/hC2wVXpRKvMZhtHOK8FfT8+FR4ZhkseQEm9NZWpv/8F5yI0o7NyeLF7Wje3IuuXctO2evZsyd3797l2LFjJCQk0KhRIypXrkyPHj0IDAwkIyOD0NBQ6tWrR2pqKmlpafTt29foHllZWbRpo4XqiIiIoGPHjkb5nTp1KpFsJXaoV6lShevXrxs5u93c3Ari15uD8PBwIvKt7/8HmT9NW6W+VrcX1ZkLULs6vP+m9R3q8TmQnQfnCs04i0g3Due+MwkahEFFB8hRISkXYtsY77X+sIzCn3ZU5yN2coeiU97SyCaNbG6Qwj/Es5Jn6EBNDhJFgq684ar2ZDJJIZPKZgr7nk9SkrYvcIMGCi1a2FG/vkJiootRmfXrndi/P49evSwXLqNWDXikOwwZaTp/6ABwc4XVZWBQLgnJ6Vq6FAdHLkHCUhjcDn4ppfHiYbmRCM6O4OVmvEq9ipeWVxratXOmShV7Tp7Ux6txcFDo3t2ZceM8WbIkhfr1HUhMrGX0vfXrK7N/fya9epVw46p7EBtbNIx7RAQ8/bR23K2btkLqmsFepg4O8MUXMHGitqrUUtzQzTatUl5/DFDFG07p9g/t3Qo6NYbMQqvGjy+EH/fCSOMt8R6K+VO1lXVr/9DOC9rmMcYO9bR0uBylpaOn4OIeGDVMW6ljTuZP0cmj28P+zEWdPG9oTon4BG126blC+15FXNbC61oaw7Zwzx5N5T13zli7i4hQqVXLMqO9+9XlfPKd6bVrQ+/ell+dXqsmPNIThrygv9a7B9SvC4mF9m1fvwb2H4JexU+MLRHt2rlQpYoDJ0/qX1it7XFj3LjyODuft7rjU6s/0KCBtnJq/Hho1kz/m4aHa+3R2LFlMwnCsD4bBh4bOlTBzQ1Wr7bcP0zrKxw4eVLfF2i/lyvjxnnj7HyJvDxITs4jOTmPS5eyOXIkloSE+gwe7M4vv5g/NDXAl1/68eSTleje/TgxMcYK3s6dd2jQ4BAVKzqSk6OSlJRDbGw3IiMtG23F2v2EIbaoh7kAsz2ceDoxk626EO+nc3Jo7WjHO26O7M7KJDZXq98RheKKns/No1a+JagU2GLflZ2tFqw4P3kynfbtXXnrrUp8/vktxo+vRLNmFzh3Tqvj4eEZdOvmztixFRkzxrwbGt+v34qP1/1vTJTpWkYTsmyRru7Q2AWGm2G/xwfhbRrShYq8yd/cMrEFmRv2BNGKNHJ4nzMF4d4BbpNFE4z3QMtfmZ6/Uv3/F+6nN3drr0WkuHZA/x0HB/jiA5gYCHXLIOqCgx2sewlql4fey/Sr0wFidfrgOYMJUVm5EHkHanmX/tmRMdBzLLi5QDl3uHEbfvkEIq9DfCJk58C5q8bfiYjSQsKbm9hYOFfI/BYRAU8P0Y5dXGDObBg8BLbqVkaePg2tW8Pkd2zHoV6Yo7p+v4FPyRzqXXmR2rRmE3O5i+lwY/XwxwEnLnKoSF44OwhnB254k8ldPKlEAM+QjGWjQ11Jg1uZ0MBDc6j3rgydKkLmU8bljveCH6NhpJlWi9qaXlirJjzSG4Y8VzTPwwNCNmnjvsHDNUdkWZLvTK9dAXp/WXR1OsDtu1r65xZExMG/n0BAHThytWxljdWZUM8VWuMREQu1Kpj/eafUXLpkJFIOBScgHpU9zl78nWf8I3mg8LtzOVJReT7zXpuvlIxateCRPjDkGf21Gze0qHZeXsar1Kv4wA0LbO85/21tlfpa3cTzM/9A7arw/ijNoQ5wMgLaDINyHuDkqOnRR36E42fNL48p0rLhcoKWjsbAxbEwqg18dlBfpqoH7H0ZDkXD639YRg5bGAO2a+eos+/qQzdoY3Ynxo3zwM9Ps9+eO2dcWyMicqhVy3Ir1E3Zn/JJTtbSpctw5BgkXIPBA+CXMvI9peVoe6FfToSjsXAxEEY1h8900dt+Pq8lHze4m62FOX+7LUQmlux5Q+lDM+qxkF9I5N42kijdwsvCDnVfKjKWYRwkjB2UsYPCgJ3noME0qOihRXtKSofY/5R8AqEpvvyyLU8+WY3u3fcQE1M2UXMBGjRoQI0aNdi7dy8JCQn06NEDgGrVqlGzZk0OHTrE3r176d27N6mp2u+4ZcsWqlevbnQfZ2dns8tW4je1evXqXL+u9aT5q9T//dcKGyz8f4ybbv8uQ3Lz9LOZrEm2Csfugl+hMGeNXCDKhLP8tq6f6FVOCxcfXMKwx6PwpwM1+Zhd3CwmrF5hFMARewDO6wYt1SlX4Iz3wAlPnLn1gPd7UNzdoX59hR9+UFm3LofvvjPuLM+ccWHSpGw2b7astyLwObgZD1t2ms4f9QIEb4d4K+xL/rAoivZ7Ols2Co5JTkRCVg70aQEbjmrXGlWD2pXh8MXS3Xv37nSaNzc2xq5YUYnz57OZNy+J+Pg8li0z9u6dOVOdSZPusHmzZTqzgwfBz8/4WqNG2koE0PZO37XLOH/7du36CguHSrtyA2LvQJ9WEKZTij1doaMfLNEZ5icshekGq4+rVYAds2H4Z3D0fOmeX9K22U7R729lTtxcis4+zM3Vy5OdDcdOg1+hSQ6N6mihwSyNYVt49SrExKj4+Rk7Ixs1Uti2zTJt4f3qMuid6Q0bQq9eWjhxSxP4Ity8BVu266999l/4bpVxuTNHYdL7sHmb+WXYvTuN5s0jja6tWFGV8+ezmDfvttWd6ZBff7S2xU03763I+5dbdrqRYX02ZNQoO4KDVeLji/miGdB+ryijaytWVNH9Xgkmfy9FUVAUcHa2zISVL7/0Y/DgyvTseYKrV4tfpXv7traauVev8vj4OBEcbGEjspX7CUNsUQ9zVMBJUYrM6s9VwU639udqnkpMbh6N7O3AYDfKhvYKIVml33vH1vsuADs7BWdnBTc3Taiyanvu129lZ8OxY/fv2/6vMaoSHL8L4WVg53mbhvSgMmP5m1gTeya6Yc8CWpFFHu9xmqxCb9sZkhhBbcrjWBD6vQPlSSWHK2Yek1qb++nNP/wOuw4a529fCT9shBW/Wl6+fGd6w0rQayncKbSa7sS/2n6UfpXh4FX9d+qUhygzbuWUlqElb0/o1xHe+1pzph+LAD/jOdU0qglR5p9PrbU9jQo9y6BdcXTU9g22ph5WElrr/n+xSfcuZ4quvEhd2hLMPFIoXslrQneu8jcZFD8jN01niG9AR1K4TbyFV7NVd4WKThCra6ImhMF0g4lY1VxgR1cY/hccNVNdtkW9MPBl3Zir0FjK0xO2B2srMAc+U3YrMfPJd6Y3rAy9vira9pgif5W4NexhV+MhJgH8qhpfb1QFtp223HOTdTaD+oodbe0c+NRgBbonChudy5EJDM9MNjG1rfQEjoCbN2GLwXZsJ05CVhb06Q0bfteuNWqkTcw/bAG/mkmdOU9fHwxJ1vkGG9QC/6bw4Vfml+dBsFOM62k1T82ZfiIWAoMxc3wOPbYwBty9O5PmzY076RUrKujsuylERuYSE5OLn5/xi9yokQPbtlluH25T9idTKIqWLGG7fFAK1598bupe/8BmkJELO68VLXM/htKHljTkS37hDvdXDKqjTYxINtDPfanIOIbzF2fZwoHivlqm3Na9+70ag48nBIeZ575fftmWwYOr07PnXq5eLfsxSq9evQgNDSUhIYF333234Hr37t3Ztm0bf/31F2PGjKFp06Y4Oztz7dq1Asd7YZo0aUJwsHEkoSNHStZol8qhfuyY8UZ/qampJCcnU65cuZLeVjBg8y6YNh6uXddCvrdpBm+/CssNVrCU94Ja1aGabp8Wv/ra541bEFdKndTdDhoYLKiu6wyt3OBODkRnwfxYWNsA/kyGvcnQ3xsGlIeeBkr6yEoQkQG3sqGTByysDUE34GIJ+ohXaU836jCPfWSQjTeacGlkk0UuPnjQhdqEEUsyGVTEjadoRha5nNTtcxVLCn8RTSD+LOMoaWTzAq25TjJnKN1UwvnzHdi8OY+oKJVq1RRmznQgNxd+/jmX+HiIiyuqMly7pnL1quViEiqKZshdtVYb6Bamfl3o3gkeNzFbt7S4O0MDg/2D6laGVrXgzl2Ivg3l3aFWRajmreXnK+Y3krR9yetWhuEdYccZuJUCNcrD1CchPRu2lqBjcHeBBr4G8vhAqzpwJxWi46G8B9SqBNV0++r46RaL30jU9ttJToPv98B/R2jfSU6HL1+BQxfgaCn33UlNVTl71jh06t27Krdv5xVcj4sr+gNeu5bL1auWmUYdFASHDsH772uOxg4d4PXXtQSaw7Gw0zE7W5ute7GUEwxA93vpF+xTtwq0qgd3UiD6FizYCNOfhX+uw5U4mPUSXL8NGw9r5aMLtX+pOuPq5ViIKaXTYvNumPZmobb5FVium73p5grTxkLwLoi9CZUqwNiXoLov/GqBfbE374VpY3Ty/ANtmhrLAzD/O1i7AP48BnuPQP/uMKA39HzR/PLMn2/H5s2qQVtop2sL83T5ecycaUdYmMqpUyojRtjRuDEMHWoZ7+396rKDA/z2m7Z9wZNPgr09VNG1XXfuWGbvKEWBwBdg1U/GbXPcTS0V5lo0XLWAkyQ1NY+zZ41ND3fv5nH7dm7B9SpV7PH1daBBA21E1aKFMykpeVy7lk1Cgvl/s/nzYfNmzXhbrRrMnImu/kBioran8LJlMHky3L6thXzv21f77SzB/eozaA7/7t0VHn+89E7Ge6H1FcYrF/W/VxZ16zowfLgnO3akcetWLjVqODB1annS01W2bjV/+MPFi/14/nlfBg0KIyUllypVtDqSlJRDRob2/xk5sioREXe5dSubTp28WLiwEUFB17h4sfTy2HI/kY9V9TAFGtjrPRx17BVaOdhxJ08lOk8lNCuXeZ5OpCdnEpWr0sPJnpdcHZicoq9j/0nLZoa7E+E5eZzKyeNlFwcaO9gxLKn0Jktb67vmzPFl27YUrl3LwtPTnuef96ZnT3f69bvJ+fMZ/PNPJsuWVWfy5Fhu387lqafK0bevB08+edXsstyv3wKtrVy7Vgvvvncv9O8PAwaAOYLFuTsX0pkrQ6vaOp05X4c31JnzdfhETYcHLYKTr7d+LNCiprby7lo8JDykLcbdDhoYLCyo6wytXHVjUl0f7WkHz3jDO8UEC6jpCBUcoJYT2Cva9wEuZcLdh+zKJtOIvvgwhTOkkVuwsjyVHLLIK3Cmu2DPTM7hjgP5Wzwm6lzrf3GHq9zlI5qymEtUxJnXqcd6YsgupZnZ3d2RBg30GyfWrVuOVq0qcedOBtHRqZQv70ytWp5Uq6ZJ5een/ZA3bqQRF2f+vuJ+evOdRC0Zkp2j2TMumiHagLsTNDDYQ7ZuBWhVTXNexSbDby9D2+ra3uj2dlBFFzjgThpk52qr1ZcegZmPQnSS5kR/V2en+9UM22U+2lGbMH7hGjSoAfPHwvkoWKFbvTf/R1g7SwvvvvcE9A+AAV2g57jSP7swQQvg0MFCbc9r8PobWn5KCoSGwvzPIT1d09V69ICXX4K33zGPDO7Oxvsx160ErWrqbAh3dO1PBQMbgq6tupEEcclaWPfnA2BruGZcblkTgp6FfRfg9EOu/+nGSzQggBAWkUU6rmh2zizSyUU/QCiHD1VpxFaCTN6nFf2J5gwqedSlHW14gp18/dAh393ttdXm+dR1h1ZecCdLSx83gfUxcCMT6rvD583hUips15m5otPBMMBjqs6McPkumGPBmbX1QlMoCgS+BKvWGOthnp6wY7M2bn/xFShXTksAt24VnTRSEtydoEFl/XnditCquq7tSYLfRkHbGlr4dnulaNvToTa0rwUHIiEhDepXgllPwKVbcPhqCeQp5bsFMD8EZg6CsGtwKhpGdIHGVWHo1yWQB6in2Bec11bsaKHYk4DKv2oeT9k7Ea+q/Kvm0szOgXmO7vyRm8WePO3d80Rhk3M5XBWFVzOT8UQpiPsSj1rqbUZBV39GwKofjOtPcjJ8vwL+O1+zFySnwJcL4NBhbbsyc7N5H0x7Da7FaiHf2zSGt1+C5Rv1ZYb2hVsJWpkWDWHhFNi4F3YeLv3z3R2hgUEUgrre0KoK3EnX9kmf1g2CL0Bsqhbyfaw/VC+nhXUHzZke+jJEJcHknVDZIDhsXAn8c7Y+BtTG7MZ2Wr19V7s+f34KM2eWIywsm1Onshgxwp3GjR0ZOtQyM6yLsz/VrQPDh8COPXArHmpUg6lvQ3oGbC26w26JcHeEBt4Gz/SCVpXhToau/nSE4Ehd/XGFsa2hugf8amBXHtsaDl2H1CzoWxvmd4epB+Bhh6TP8AjtaMJ3/E4G2XjqNPQMMskmh0p4044mnCOSu6RTjcoMoTeXiOa6boFmVSoxjmGc5yp7OV5wD5U8Uk1EUb7n/+Z+7bKbzm+iU+v9dOMqw3Z5ZGeIuKH5TTrVg4XPQtAuuGiGaBmLF7fj+edrMWjQAVJScqhSRfPDJSVlk5GhVaQqVVzw9XWhQQOtBW7RwouUlByuXUsjIaH0Ubd69erF2LFjyc7ONnKU9+jRg3HjxpGVlUWvXr3w9PRk8uTJTJo0iby8PLp27UpSUhIHDx6kXLlyjBgxgtGjR/PFF1/w7rvv8uqrr3LixAlWrlxZIrlK7FCvUaOGyesxMTHiUDcT4z+CWZPh60/Bp5K2z9iyH+GThfoyA/vCSoNwJGsXa58zgmCmaX3+gfF3h9Cm+vOg2trnylsQGAkbE2D0VXi/GiyqAxfS4el/4KBBtAw/V5hbUzNgXM2E2dc1h3pJ6I82XfoTjPdD+IrDhBJJNrk0oTJP4Ic7TiSRQQQ3mcZ2DOcqfskhRtKO9+mJCpwjjk/ZaxSGryTUqKHw889OVKyoKeEHDuQSEJBp0dVq9+ORHlC7Jiz/0XT+K8/Dv9dhx17zP9u/LoR+oD8P0oWVWbkfAr+FgW1gpYFhcO1Y7XPG7zDzd20lQDc/mNhPU+7jkuDPC9D5E62jeGh56kHoTAN5RurkCYXAxTDQH1aONZBnkk6edTBTtzpi0kptcLV+sjZbbnsYvPndw8vyv8Dx4zB4MMydCx99BFeuaKHcf/rpvl81C/4NIXSe/jxIV1dW7oTAIPj8N02R/mY8eHvAgbPQ/yPItIDzszDjZ8Kst+HrT7QQldfjYNnP8MmXWn5uLjSuDyOGaPun306EY+HQbTicK+XkC5PyfAKzJsLXM3Ty3IRlv8AnBrORN+6E0R9roXQXfQgXrsDT4+CgmUL7GaK1hXYGbaFKQEBOQVu4cGEeLi4QFGRPhQoQFqbSt28ukZH3vm9JuV9drl4dBg3SjsMKTdbp2RP27cPsPNILateC5WvMf29zM3p0eWbM0FuD9u+vA8DIkddZtaoES33uQ40amvNcX3+0vTrz68/jj8Nnn2lOdw8PuHQJRoyAbRZYwa/Jc+/6DPDKK3b8+y/s2GHdfegzMlS6dXNl4kRvype3Jy4uhz//TKdz52hu3TK/s//NN2sCsG+fv9H1kSPPsmqVFhrNz8+duXMbUKGCI1evpjN79lWCgkowldwEttxP5GNVPczBjj0V9KGk/uupeSRXpWfzSnIWzydlMsfDkR+8nKlgpxCVqzI9NYul6XoD0KK0HFxQ+MLTiQp2CmHZefRLyCAyt/R13db6Lh8fB1avrknVqg4kJeURHp5Ov35X2LVLG9g8/vgVPvusKps318HDw55LlzIZMSKabdvMvz/Ig+hgGzdq+6W//z4sWgQXLmgh4Q8eLO6uD45/PQj9UH8e9JL2uXIfBC6Dge1g5Wh9/toJ2ueM9TBTt4fq6EdghsHWKvs/1j5HLoVVD7nHu78bhBqsmg3SmSFW3oZA3WSzZ8trxsKfi4kw80k1GFlRf36qifbZ8yLse8jdMIaghRH8mjZG1z8lgq3cwA9PmqNZvn6lU6HvHuYGGeQB7xLOZPz4hnakk8s2bvAdpfcg+/v7EBo6pOA8KKgbACtXRhAYuIuBA+uycqV+PL12bX8AZsw4ysyZf5X6+YW5n95safxrQKjBljBBA7XPlcdhxg4Y1Ew7D3vb+Hs9l8A+nW767h+Qkwc/PAuujnD0mhYaPtEMTkgvd5g7BmpUhjvJsD4Upi3TwnYCbPwTRn8O778MiybBhSh4ehocNIMzvzDHj2vh3OfOgY8+1LU9k4zbnmef0/J/XAMVKmhO9WnTYelS88jgXwdCp+jPg3QTzlYegMDlMLA1rBylz1+r+21nbIKZm7SIco80hYl9NUN19B1YfwI+3fzwsjSjNwCDmGp0fS/fcQF9Y9uYbqSSQDSmYyvXoiVtGYA9DtwmmhAWEc3DL+n1Lw+hBlsgBOnC/q+MgjF/Q0svGFELvJ3gejrsuAkfnoOsMoo4ZW290BSP9NaNuVYbX2/bGgI6aMeXC/1sdRpDlBlE8q8FoRP050G6ZnnlUZixDQa10M7DjKsXPRfBvkuQlgVDWsHMxzXnfGwyhETAp9u1ev7Q8tQp3bsFsHAnuDhq363gDmHR0PeLkoUWbmPnyDYX/eSvz5y02SI/5mQwOisVX8WOuY6u+Ch23FDz+Dk3k3kGq9Nb2TnQ3t4RgHBX45jzzdLvcE0tfcV/pI+26nz5yqJ5k97R2QbXaeHft++AN8eX+pEmGT8XZo2Dr6eBTwVt7/Rlv8EnBu1u1crw33ehSkWIvQWrN8OsZeZ5vn81CB2hPw/qp32uPAWjt0DjijDiGc2Zfjsdjl2HbivhnK5e9K0HDStqKWaS8b2VT0ogz//AGPB+LFyYiouLQlCQFxUq2BEWlk3fvreIjLTMBP3i7E8ZGdCtM0x8E8p7a4s7/jwEnR/RHOzmwL8KhA7Tnwf11D5XnoXRu6BxBRjRDCq5wO0MOHYDuq3V9k7Pp4MvzOwEHo5wPgHe2AVrSrBDdDed7j4B49nsa9jKX5wlh1z8qE1P2uGEIwmkcIqL7EA/M6U1jfDEnfY0oz3NCq7fJomZfPNQ8vjXhlD9omuChmufKw9B4Apduxyoz1+rm+A4Ixhm6vQaP1+YO0Rrk6/ehtlbIaiYyHgPy5tvNgBg377eRtdHjjzKqlVXARg9uj4zZjQvyNu/v0+RMqWhV69epKen07hxY6rkr3xCc6inpKTg5+dH1ara7O5Zs2ZRuXJl5s6dS2RkJN7e3rRt25YPPtCcU7Vq1WL9+vVMmjSJL7/8kg4dOjBnzhxeeeWVh5ZLUVW1xBaRefPmkamLi6OqKoqi0KlTpyIbwJeU8PBwfv/994J92vOf8dFHH5nl/tYgNjaWb775htdff51qHave/wsWRjVQFBULzKR7WNSO+uOhFGN9LEN+Q7+5iKKU3T4RxREefokNGzYwZMgQWvZuYW1xUA0UZ+Vl68mRj2owUFKeKb5cWaEahClUlKtWkwMgPDxFX3da2kDdMeh5lMetJ0c+qsHKcaWe9eTIRzVwLisNrSdHPqrBRABFsf5IJDz8vO3WZxuYU6gm648VpQQjDTOiqk0KjhXLRB1/KMLDTxvUncbWFgdVdSw4VhQLzLh5SFRV3+Aoyq57lCwbVPWRgmNb6CvC5522WT3MviRLPMxMbhX3gmNr913G/ZYFPE8PiarqNzy2ubZwrg3UZQOHnXLSenLko7bVH3fGAjNeHpJD9Co4VpQy8kTfg/Dwnvr6M8gG6o+h3vxu8eXKAnW+/ljpbD058lENtvRWbCAse3iYQdsTZAN1Z7n+eCmBxRcsI0aj3ztN2WBFQXSo+rk5tqcXut2jYBkRftSgPn9rA/V5kf5YeXj/gFkxfLc806y4ykhHips+VInieI+CZUT4SYO684IN1B0DVbkkTm5zoxq4fWxhDGhkL1Ssv91xeHiCvv50sYH6Y2h/KuUe9KVFNZggOYH5xRcsIxahV0yV16woiA71W/2xoqy1niA6rl/vXuAnzXeM/y9QKpW6evXqqKpKvk9eVVViYoqJs1YKDJ8hCIIgCIIgCIIgCIIgCIIgCIIgCIIgCGVBiUO+A/j7+1OpUiWja05OTqUSyJCaNWsyKD8OqyAIgiAIgiAIgiAIgiAIgiAIgiAIgiCUIaVyqDdu3JjGjS0XLrN8+fKUL1/eYvcXBEEQBEEQBEEQBEEQBEEQBEEQBEEQhOKwgV2UBEEQBEEQBEEQBEEQBEEQBEEQBEEQBMH2EIe6IAiCIAiCIAiCIAiCIAiCIAiCIAiCIJhAHOqCIAiCIAiCIAiCIAiCIAiCIAiCIAiCYAJxqAuCIAiCIAiCIAiCIAiCIAiCIAiCIAiCCcShLgiCIAiCIAiCIAiCIAiCIAiCIAiCIAgmEIe6IAiCIAiCIAiCIAiCIAiCIAiCIAiCIJjAwdoC3Ivs7GzS0tKKXPfy8rKCNIIgCIIgCIIgCIIgCIIgCIIgCIIgCML/JczmUM/KyuLMmTNcvHiRW7dukZqaiqqqlCtXjurVq9OsWTMaNWr0UPeMiIhg48aNRa5/9NFHZpJaEARBEARBEARBEARBEARBEARBEARBEExjFof62bNn2b59O6mpqQCoqlqQd/v2be7cucPp06fx8fFhwIABVK9e/YHvbXgvAEVRzCGyIAiCIAiCIAiCIAiCIAiCIAiCIAiCINyTUjvUDx8+zM6dO40c34Wd3vl5cXFxLF++nL59+xIQEPDAz8i/X2Hn+v866jVrS2CM2tHaEhjzGy9YWwQjVNXV2iJw+rT+WL1lPTlMoa62tgTGqL9aWwJjVLWOVZ9/2qDy2FpTqm61tgTGqJHWlsAY9R9rS6ARHR1NYmIi4eHWlgSuXdN3oDZXn5OtLYExqtrE2iIUYAu/lVE/qjpaTxATqGpDa4tghKo+Ym0RjLCFvsKW9bDcKu7WFsEIW+m7AFS1pbVFAGy4H/3JioKYQG1rbQmMOUQva4tghKqOt7YIxuMKW9Ob51tbAj3qIWtLYIyaZ20JCvWjy60nhylGs8LaIhihDrG2BMbYnF5YdHfQMseoPi+ynhymsKX3K8WtkrVFMELNtrYEheqODeiFhqg2FhTYFsaAhqhqDWuLwOnTCQXHNmd/etvaEuhZxLvWFsEI9VtrS2CMqg63tgjExsZaW4QSUSqH+oULF9ixYwdw75Xjhnl5eXns2LGDO3fu8Pjjj5fm8YIgCIIglAHR0dEsX25Do3Id3t7e1hZBEARBEO6L9KOCIAiCIAiCIAiC8L9NiR3qWVlZbNmyBXjwFeSKoqAoCqqqcvz4cbKzsxk0aFBJRRAEQRAEoQxITEwEwN/fn1q1allXGB3e3t7UrFnT2mIIgiAIwn2RflQQBEEQBEEQBEEQ/rcpsUM9LCyMlJSUAgd5YQxXpefnq6pq5FQPCwvD3t6eJ598sqRi/E9jC9vBG/50inLQeoLoUNUuBceKEmdFSTRUtUrBsS38f8LDyxUcKy9bURAdhmHelabWkyMf9Zz+WFFOWk8QHapBzEqlghUFAcL36Y9tru1503py5KN+rT9WOltPjnwMQ0QqbtaTI5/wo9pnrVq1aNmyhXWFoVD9sYGo3YZh4xTF+jHkDEOZB9PPipLAQLYXHNtCvxVuEPVLmWM9OfJRP9Af21zbbGvyvGI9OfIJn6Q/VpQ71hNEh6rqlQul3D0KlhGGIQetrTcbjSkGWlEQHeGztU+tH21sXWEw7ids7l23gfkGhluzKX2tJ0c+6k79saJ8aT1BdISH9yw4VmwgRL9qMOxTrBxmXTUYRyiK9eP4Gm55YQvvuuGWF4qSbj1BdBhu66fYQMhudYL+2ObsYTbQl6rB+mNbqD9G9dkGxuyGYfAV5aj1BAFUgz1FbaHtMdIzbGA7hfCZ+mNFsX7MblU1sDUrG6woiYZqsOeFzdUfZWbxBcuI8HDD/4+t6RrWrc/Gdfmq9QTRYbj9q83Zmm3AnnH9urUlKBl2Jf3i33//bfJ6vsPc1LV8R3q+Y11VVU6ePMnOnTtN3ksQBEEQBEEQBEEQBEEQBEEQBEEQBEEQrEWJHOqZmZncuHHDpOMc9CvR3d3dcXBwKHCimyqjqiqHDx/m4EHrr/4VBEEQBEEQBEEQBEEQBEEQBEEQBEEQhHxKFPI9NjbWyCFu6CR3dXWlT58+NG/eHGdnZwDi4+M5fvw4x44dM/qe4fHu3btxd3endevWZvvjBEEQBEEQBEEQBEEQBEEQBEEQBEEQBKGklGiFemJiYsGxoTPdxcWFwMBA2rVrV+BMB6hUqRL9+/fntddew9vb28gJn38PVVXZvHkzFy9eLOGfIgiCIAiCIAiCIAiCIAiCIAiCIAiCIAjmo0QO9YyMDKPzfAd5z549qVy5crHf8/X1JTAwEB8fH6PV6aA51fPy8vjtt9+Ijo4uiViCIAiCIAiCIAiCIAiCIAiCIAiCIAiCYDZK5FDPysoyeb1ly5b3/a6npycvv/wyFSpUACjiVM/Ozuann37i5s2bJRFNEARBEARBEARBEARBEARBEARBEARBEMxCiRzqDg5Ft153d3fH1dX1gb7v7u7OSy+9hIeHB1DUqZ6RkcGaNWtISkoqiXiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCUGpK5FB3cnIqcs1wT/QHwdvbmxdffBEXF5eC7xs61VNSUggNDS2JeIIgCIIgCIIgCIIgCIIgCIIgCIIgCIJQakrkUHd3dy9y7e7duwUO8QfFx8eH559/HkdHR6CoUz0vLw/goe8rCIIgCIIgCIIgCIIgCIIgCIIgCIIg/P9BaGgoiqKQmJhY5s8ukUO9fPnyRa6pqsqNGzce+l41atRg2LBh2NlpohR2qgtQrRr88APEx0NaGoSHQ7t2xmVmzoTr17X8nTuhQQPLyDJ6tC9hYa1JSupIUlJHDh1qQf/+3gCUL+/AokV1OX++LWlpAURF+bNwYV3KlbO3jDCFmDLFDVWtQlCQR8G1evXs2bDBi5s3K5OUVJm1a73w8SlRtb8v9/rfACxdWp9Ll7T/zc2bHdi4sTF+fg+2TcKD0M0PgidBzEJQV8Ogtsb5g/1h+7sQ/7WW36pW0XssHQmX5kPad3DzK9g4Efyqmkc+Ozv4ZDxE7oC0k3ApBKaPNi6jnjOdJr9iHhkMGT26EmFhTUhKakVSUisOHWpE//7lAKhd2wlVbWsyDR3qbX5hgCunQL1TNH31uZa/N7ho3pIvLCJKAQ/S9jRuDJs2QWIipKbCX39BzZqlf3a3BhA8BmLmgPo1DGqlz3Owg8+egvBpkBqklVk1Aqp6Gd/jg/5wcDLcXQAJ/ym9TIZ4uEHQW3B1A6TthYPLwL+JcZnGtWHTPEjcAam74a/voWYV88oBcCUC1LSi6asgLf+1V2BvCCTd0K57ed37fubgQepOPkuWgKrCW29ZWJ5VEH8D0pIh/G9jeXx8YMX3EBMFd5Ng2x+W60c//tgOVXU0ShERxlvpBAQo7N5tT2qqA0lJDuzbZ48uoE+paMBwurGIx/mdfqylPR/jTg2jMm5UpT0f0Y+1PMYG2jENZ7yNyjzCKgay3Sg1YFiJZDJH32XI1ndM3+eB5akJwc9AzHhQP4BBjYzzP+4GEW9A6mS4Mwl2PgcdqhmXufKm9l3DNKVTyeQpjC29Wx9/rN3fMEVE6PPr1YMNG+DmTUhKgrVrtXfNXHRrBMETIOa/oC6HQW2M8we3he1vQ/wiLb9VMX1TQH3Y/S6kLoGkxbBvCrg4ll6+jz92RVUrGKWICH0D/Nprzuzd60lSUnlUtQJeXpYd91w5DWpy0fSVCV1i63otb9ATlpPH2mOKbs0geDrErAA1GAZ1LFpm5vNwfSWk/Qo7P4EGJnTix/3hyHytzJ2f4PcPzCPfvfqK2rUpkpefhg61TD2ypk5YGDs7+OQdiDwAaRfh0n6YPkGf7+AAn70P4Tsg9TzEHINVQVDVTDpYtxYQ/AnE/ALqThjUuWiZmSPg+i+Q9gfsnAcNqhvnf/A8HFwAdzdDwu/mkatAvm7VCA5+kpiYQFR1PIMG1TPKHzy4Ptu3DyI+/lVUdTytWlUyrwAm8HCDoMlwdQukHYKDK8C/qZbn4ACfTYDwtZB6EGK2w6pPoKqZxOpWDoIbQ4w/qJ1hUIWiZRq7wqbGkNgBUjvCXy2hpi4oY21n7Xum0tCKpZdv9OgKhIU1JCmpGUlJzTh0qD79+3sW5Ner58SGDbW5ebMpSUnNWLu2Fj4+RbdgNBfW7tuLyuOAqroapYgIZ5Nlt251QlVdGTTIPPaebtUgeADEvALqBCj0KhmxpJdW5q3WxtfLO8OaRyFpNCS8Ad/1AXcz6BimMGUPq1LFjtWryxEbW4nUVB9OnKjAkCGm/38Pizn60Svfat81TFOeNot4Vq07prjXmL18eVj0BZw/BWm3IeoCLPwPlCtnMXEYPdqHsLAWJCX5k5Tkz6FDTenfX6+n7t3bBFXtaJSWLKljMXms3fZ0awrB70PMd6BugEEdipaZ+Sxc/x7SfoadHxvX5x7NtO+ZSv6ltCt8/LEzqlrOKEVE6Bc6Ll3qwqVLHqSleXLzpgcbN7ri52e5ujx1aiP++qsXyckDiIt7nN9/D6BRIw+jMkuXtuHSpUdJSxvEzZtPsHFjAH5+HsXcsfTYkp5qim7dahEc/CwxMW+jqh8zaJBf2TyY++sZVao4sHp1TWJjm5Ca2pwTJxoyZIjlGp971efy5WHRIhfOn3cnLc2TqCgPFi50tmhbaMiUKV6oah2Cgkwoi8DWrT6oah0GDXKzmAz3szWvmAbqIeO07b+WkeV+9gxnZ/jqKzfi471JSSnPb7954ONjnrGooij3TDNmzDDLc0pKiVrYChUqmHR2X7x4sURC1K9fn8GDBxecGzrV/6/j7Q0HD0J2Njz2GDRtCu+8AwkJ+jLvvQcTJsDo0dCxI9y9C9u3axXb3Pz7byZTp0bRrl0Y/v5h7NmTxKZNTWja1JVq1ZyoVs2JyZOv0Lz5KUaO/If+/cvz/fcW8koY4O/vwBtvuBEWll1wzc0NduzwRlWhd+8EunRJwMkJNm/2xhJzNe71vwE4cSKVwMBLNGnyN/36nUVRFHbsaIadmfQcd2cIuwZjVxeT7wQHLsKUtcXf48RVCPwOmkyFfvNBAXa8B3Zm+H9NeRXGPAvjPoUmT8KU/8J7o2D8i/oyvt2NU+A0yMuD9TtK//zC/PtvNlOnxtCu3Xn8/c+zZ08qmzbVo2lTF6Kjs/D1DTdKH310nZSUXLZtSza/MED7PuDbWJ8e0TWJv27Sl/lmlXGZ92ZYRBTgwdqeevXgwAE4fx569oSWLWHWLMjIKP3z3Z0g7F8Ya6K+ujlB25owaxu0nQtDvgE/HwguNEHDyR5+PQlL/iy9PIX5bir0bQ8vfQItXoQdf8GuhVBNZ/yrVx0OLIXzUdBzHLR8GWatgIws88vSvhv41tWnR3QOkF83aJ9urhCyE+bMN/+zTfEgdSefp56CgACIibGwPPt08gyApi3hnXeN5dm4HurVhUFPQ5v2EHUNdoVo/YglOHNGxdc3uyB17ZpTkBcQoBASYs+OHSodOuTQvn0OX32Vhy5oT6moREuuspn9TOQw72OHPZ2Ygz2awmCPM52YA6gcYgoHeBs7HOjAJ2g9gp7zrGI7zxakK2wq+sAHwBx9Vz4T+0FptUd3Rwi7CWO3m86/eBvGbYcW30HXH+BqEux4FioVqisf7gPfhfr05fFSCobtvVsAZ86Ar68+de2qXdd0MHQ6GHTpgk4Hw2w6mLszhEXD2DXF5x/4B6b8Wvw9AupDyCTYcRY6zIL2s+CrPZBnpmHImTM5+PomFKSuXfU6hJsbhIRkM2dOunkedh/a9wTfBvr0yEDt+q+FnHkTx2q/m6Wx9pjC3RnCrsDYZabz3xsCE56E0Uug47twNxO2zwRnA0fIkE7wwyRYsRtavQVdpsBP+8wmYrF9RXQ0Rtd9fbP56KNcUlJUtm0z/49nbZ2wMFPGwJiXYNxH0KQ3TJkL742G8YFavpsrtG0OsxZB28dhyOvgVw+CvzfP891dICwSxn5pOv+94TDhKRi9EDqOh7sZsH2ucd1xcoBf/4Qlf5hHJiP53B0JC4tn7FjTldHd3YEDB64zZcoh8z+8GL77CPp2hJc+hBbDYccR2LUEqlUGNxdo2xhmfQdtn4chk8GvNgQvMM+z3e0g7C6MjTSdX88ZDjSH8+nQ8yy0PAWzoiFD9ypFZ4LvMeP00TVIyYVtJvrfh0Ubk96gXbt/8Pf/RzcmrU3Tps64uSns2FFX15dG0qXLZZycFDZvrmMRe0Y+1uzbTcuTh69vekHq2jWzSJmJE+3N3ne5O0LYLRgbeu9yT9WDAF+ISS2a92M/aFYR+v4OTwZD9+rwTW/zygmm7WEAq1eXw8/PgYEDE2nR4jYbNmSybp0XrVuXflKGOfpRgA9/BN+X9elLM7aL1qo7prjXmL1aVS1N/gCa+8PI16F/X/h+ieXk+fffLKZOvUa7dqfx9z/Dnj3JbNrUqMB+CfDNNzfx9T1ZkN57L9pyAmED44qrMPZb0/nvDYYJT8DopdBxqq4+f6ivz4cugO8rxunbnRB5A45fKr18Z87k4uubUpC6dk0ryDtxIpfAwHSaNEmlX780FAV27HAzm625MD16VGbx4ssEBITSt+9BHB3t2LGjK25u+omvJ04kEBh4giZNdtKv30Gd/burRWSyNT3VFO7uToSFxTF27NayeaAB99IzAFavromfnzMDB16lRYuLbNiQxLp1tWnd2gwrOoqhuPpcrZod1aopTJ6cSfPmqYwcmU7//g58/735FiMWh7+/E2+84UFYmGmj7cSJ5cqkr7ifrRlg22HwfVKfnvvYcvLcy54RFOTGgAGOPPNMKj16JFOtmh0bNphn4kxsbGxBWrBgAeXKlTO6NnnyZLM8p6SUSItycnKiYsWK3L59G9A7wM+cOUOPHj1KJEizZs1IT09ny5YtBc56carDlCma0eQVgxW6V68al5k4ET79FIKDtfOXX4a4OM2YuvYBDNAPwx9/GI8ap0+/xpgxvgQEeLJ8+U2GDr1QkBcZmcG0aVGsWdMIe3vIzTWvLPm4uyv8+KMXr72WzPTp+ll6Xbo4UaeOPW3a3CElRatLI0Ykk5BQmd69ndi927yerXv9b86dS+fbb+MK8qKiMpk+PYrw8DbUqeNCZGTpe/GQcC0VxxqdzaT2PWb7fxuqP46Kh+nrIXw21KkMkTdLJ1/n1rBpD2zVOTejrsNzj0OHFvoycfHG3xnUG/b+BVf+Ld2zTfHHH0lG59OnX2fMmEoEBLhz7lwGcXE5RvmDB3uzbl0Cd++awatlgvjbxudTJ8KlSNh3UH8tLR3iSvk7PCgP0vbMng1bt2pl84ksxlj1sISc05IpkjPg0UJGzHHr4NgUqFkeonWv4owt2ueIAPPIlI+LEzzdEwZNhf2ntGszv4cBXWDMEPjwG5j9Bmw9DFO+1n8v0kKOrfhC783Ud+DSZdi3XztfuFj77NHNMs8vzIPUHdBmEX/5JfTrB1u2WFCedyH6X3jlVdPyNGwInQKgWSs4p6tzY8bCjX/huWfh++XmlyknR+unTREUZMeiRXnMm6dvay5eNI8+dIRpRud/8wX9WYcXDbnDGSrQDDeqsI+x5JCmKzOfx1hPJVoTz9/6v4F0Mim9JdkcfRdoK9ffeQz8P4YbxTg5HkieSC0Vx8+F2qW3d8GrraGlD+y5qr+ekgVxd0suhyls7d2C4utyly5Qpw60aQMpKdq1ESM0w0bv3rB7d+mfHXJaS8Wx5rD2WfseKwiDnoVFu2GegW3j4sMH3CoW7f9j+v1duFAz6vboYbmVhoYU0TPe1ukZB/TXWrWAd8aBfw+4YQbj372w9pgi5KSWimPiQPh0HQQf1c5fDoK41fBUAKzdD/Z2sPA1eHclLN+p/16EGW3Nxb1feXlFrw8ebMe6dSp3zdzugPV1wsJ09odNO2DrHu086l94biB00EUzSk6BR18w/s64D+HYH1CzGkRfL93zQ45pqTgmDoZPf4RgXRv08jyI+xWe6gJrQ7VrM3STyEY8WjpZTMoXEkVISFSx+WvWaO9W7dqexZYxJy7O8HRvGPQ27Ne9czOXwYDuMOYZ+PBrePRN4++MmwfH1kBNX4guZZsckqil4phdG7YmwBSDf1mkgc8tD4gz9lEyuAKsiwdzDAv/+CPF6Hz69DjGjKlIQIAb1as7UqeOE23a/ENKivawESOiSUhoRu/eHuzebcKDawas2bc/jDz5tGql8M47jvj7Z3DjhvmM7iFRWroX1dzhy57QbyNsGWic17g8PFYH/H+BE7ox/Ph9sHUgTD4AsWZqr4uzhwF07uzImDEpHDum2TZmz77LpElutGvnyKlTOaZu98CUth/NJyUd4hJLJUqxWKvumOJ+Y/ahz+vzIq/AtBmwZjkWs6X+8Uei0fn06f8yZkwVAgI8OHdOm+yZlpZLXOEG0IJYdVzxt5aKY+KT8OlvEKzr/19eBHHL4akOsPYgZOcY12MHe22V+5dm8p/ea0zx7bf63ygqSmX69EzCwz2oU0chMtL8fpXHHjtodD5y5HFu3XqSdu282b//tk6mqwYypTF9+lnCwx+hTh13IiPNq6zamp5qipCQS4SEWHhwVQz30jPOncukc2c3xoyJ4dgx7b2fPfsmkyZVol07N06dssyMg+Lq89mzeQwdqp9sHhmZy7RpmaxZ41oGfqXKvPbabaZP9y6S36qVE++8Uw5//1hu3LDc6vQHsTUDZGZD3B2LiWFEcb9VuXIKo0Y58/zzqezdq+kTgYGpnD/vTceO9hw9Wrofy9fXt+DYy8sLRVGMrhly4sQJpkyZwrlz52jdujUrVqzAz0+LAjFy5EgSExPZuHFjQfmJEydy6tQpQkNDSyxfiecG1ahRo4jD+/bt2/zzzz8lFsbf35/evXujqqqEe9cxcCAcPw7r1mmKxcmT8KqBU6BuXahaFXbt0l9LToajR6GTmcKLFoedHQwfXgl3d3sOH04xWcbLy4Hk5FyLNXoAixd7smVLZhEHubOzNoMxM1NfTzMyVPLyoGtXC8XZ0nG//42bmx2BgVWIjMwgOrroLFlbwM0JArtpjvTo2/cvfz8OnYI+AdCwtnbe0g+6toVt+02X96kIT3SH79eX/tn3Q/u9yuPubsfhw0WVu7ZtXWnTxo3vvzfDP+IBcHSEF5+B5T8aX39hKNz6B04fhDkfgqsFx3z3a3sUBZ54Ai5ehJAQrcyRIzBokOVkuhdeLpqBObEMFvo5OGgpo9Crm54JXVvq/jed4OI1CAmCuC1w5FsY1N3ysjk6wovPwvJiVvuWBferO6D9j374AebP1zuxLSbPk3D8BKz7GeJi4OQxeHWUPj8/movh7GSt74CuXSwjU8OGEBPjwOXLDqxZY18QaqxyZQgIsOPmTTh40J4bNxwIDbWnSxfL6ESOaEa3bLR+yg5HVCAP/aA8j2xUVCrSzOi7DRhGf36lB4upz1CUkquUpcbVCX4ao61yj0u6f3lz4WgHr7eBxAwIK2T8mdoJ4ifCyVdgckewN8NPaGvvFuTXZbh8Gdas0YfN0+tg+rIZGeh0MMvL9SBU9tRWqN9MhoMfwI0gCJ0CXRqa7xkNG9oTE+PN5cterFnjTs2a1ntPDHF0hBeHw/If9NdcXeGn72HsO2U3eS8fWxlT5FO3ClStALvC9NeS0+DoReiki9DYtj7UqKTV6ZMLtJC2Wz+GZvfZluJhKK6vKEzbttCmjcL331tm0qet6YSHjkOfLtCwrnbesgl0bQ/bQov/jlc5nZ5omUBTBdT1haoVYZeBUT45DY6eh05NLftsW8XBXqc3F5rLnp4BXVub/o6Xh+73Mt0cmA0FeKI8XMyAkCYQ1x6OtDAdFj6ftu7QxgO+t0A7qbWFXroxaRrOzso97Bnu97hT6bC1vr1hQ4WYGBcuX3ZmzRpHatbUK1WurvDTT06MHZt1T8epJVCAHx6F+SfgnAnDdqeqkJChd6YD7LqmRcHpaMZtwIqzhwEcOpTN8OEulC+voCgwfLgzLi4KoaEWCJtmwIP0o/lMfRri12h96eTB2oQ1c2GrdedBxuxeXppttyz0Hq3tqaBre/QTdV54oRK3brXl9OkWzJlTE1dXy+qxttb25FO3ClQtb6I+/1O0PuczsD1U9IAVe8wjQ8OGdsTEeHD5sgdr1rga1WVD3NwgMNCRyMg8oqPLZpGil5dmX79zx/TkCzc3ewIDaxMZeZfo6DSTZUqDremptkxhPQPg0KE0hg/3pnx5e10/4YWLix2hoZaZtAcPXp8BvLwUkpNVC/uVKrJlSxq7dxedQODqqvDTT5UYO/Y2cXGWbZDvZ2vOp2cbzc58/mf4ejJUsGBI/OLsGe3a2ePkpLBrl35y3oULeURF5dKpU9ksGMhn2rRpfPHFFxw/fhwHBwdeMZxdYyFK3BvWrl3b6DzfAX7gwAFTxR+Ybt26ERAQUOBUz0//V6lXD8aMgX/+0VYaLVkCixZpq9BBC4MDRWfxxcXp88xN8+ZupKQEkJnZmaVL6zN48HkiIop6sSpWdODDD2vwzTdmXOpTiOHDnWnb1oH33y/a0B85ks3duyrz5nng6qopFv/5jycODgpVq1pGEbzf/2bMGF9SUgK4e7cTjz3mTd++Z8nOtq1IDGP6QMo3cPc7eKwl9P0css3QZ3z2LfyyFc5vgaww+Hs9LPgBfiompNeIQZCSBht2ms43B82bu5CS0orMzDYsXVqTwYMjiYgo2oGOGlWJc+fSTTrbLcFTT4C3F6z8WX/tp/Xw4mjoNRDmBsFLw2HNUsvJcL+2x8cHPD1h6lRNKX30Ufj9d21fq+5l4Dg2xNkB5g2Gn49DShmEbEpNg0On4cNAbX9HOzt4oR90aq4ZUX3Kg6c7TH0JQo7AoxPh9z9hwxzo3tqysj01QAt5tbKYEMhlwf3qDmgzg3NytOtlIs8b8M8l6PcELFkGi4Lg5Ze0/PPnISoK5n6q/e8cHeG9ydoAvqoF+tGjR1VGjsylf/8cxozJpW5d2L/fAQ8PqFdP03dmzLDj22/z6N8/h5MnVXbvtrfAnu4KzRjNbc6Qgrb8JoHz5JJBE0ZhjzP2ONOU17DDHmf01uVINnGCuRziPa6ylYY8S1NeLe5BFifoeTj0DwTfY5WMOXmiAaRMhowpMKkD9P0ZbhuoQYuOw7MbodePsOxv+KAzfG6G8J629m4dPQojR0L//ppcWl0GDw/NSHH3Lsybh4EOpg0Qq5rYh9oa1Kusfc4YBN/+Cf2D4GQU7J4MDcywJ+PRozmMHJlK//4pjBmTRt26duzf74mH5bYPfGCeelKnZxhM3AuaC4eOQnAZRiK0pTGFIb7ltc/CK+biEvV59XT9w4zn4NO18OQsSEiF0DlQ3gy/8b36isKMGmXHuXMqhw9bZkxhazrhZ1/DL5vh/F7Iugx/b4MFy+GnjabLOzvDvPfh502QYjnbIAC+uq4yrlAAl7gEfd35v0ZqGhwKgw9fNdCbH4dOLU3vk+7sBPPegp9DIMXCQy8fR/C0h6nVtVXsj56F3+/ABj/oXoxxclQVOJcGxcz9KRHamLQZmZktWLq0BoMHRxERkcmRI2ncvZvHvHm+uLoquLkp/Oc/VXX2DMsYK22tbz96NI+RI7Po3z+TMWOyqVtXYf9+p4K2MCjIkUOH8ggOtsyEonsxxR9yVFgUZjrf1w1uFurSclW4kwG+ZpoPcS97GMCwYUk4OsKdOz5kZvqwbFk5Bg9O5PJlyzoFHqQfBVj0Bzw7H3pNh2Uh8MEz8PlI88hgy3XnfmP2ihXhw6nwzQrLytG8uSspKf5kZnZg6dK6DB58sUAP++mneF588TK9ekUwd+51XnqpEmvW1LeYLLbW9hji6619Fp64Xbg+GzKqD2w/BTFmWJNz9GiuLvR1GmPGpOvqsruRTjhmjCMpKZ7cvVuOxx5zoG/fu2SXQXABRYEFC1py4EA8Z88az1ocM6YeKSkDuXt3EI895kvfvgcsYv+2NT3VFilOzwAYNiwKR0eFO3e0/GXLajB48FUuX7bMxKsHqc/5VKyo8OGHznzzjeUq8/Dh7rRt68T77yeazA8KqsChQ5kEB1t+9db9bM0AIUfh5VnQZzxMWQI92mh7qFtiO4V72TN8fe3IzFRJSjJ+p+PiVHx9y3YRwezZs+nRowdNmzZl6tSpHDp0iAwL7+dQYi28YcOGJkOzR0dHc/r0aVq0aFHcV+9Lv379SE9PJyws7P+0Mx20F+L4cZimi9J66hQ0b67tl77aSisQL1xIp3XrU3h52TN0aCVWrWpIjx6njQxgnp72bNnSlHPn0pkxwzL77NSoYcfChZ707ZtoNFMxn/h4lWeeSWLJEk8mTHAjLw9+/jmDEyeyzbIXrSnu97/58cdb7NyZSNWqTkyeXJ116/zo0iXcaNa5tfnxEOw8A1W9YfJjsG4sdPlUCylSGob1hxeehOffhbOXoHVjWPA+XL8Jq01svfvKEPjxD8i04OTpCxcyad36PF5edgwdWp5Vq2rTo8c/Rk51FxeF558vz6xZZWPEBRj1ImzbBbEGj/x2lf74TATExsGeTVCvDkReNb8M92t78jvrTZtgwQLtOCwMOnfWyvxpgX3LTeFgB+te1VYIjPmlbJ4J2n42yz+A68Ga8+rkRfh5F7TzM/jf7IcFum03wv6Bzs1h9GD485Tl5Bo1ArbtgNhYyz3jftyv7rRtC2+9pX2WmTwnYNqHBvI0g9Gvw+oftN9vyDD4/htIuKWd79oNW7dZZj/IkBB9e3/6tMrRo7lERTkwbJhCRIR2fdmyPFauVHXy5tGnjx2vvGLHBx+Yr/NqyTjKUZsDvFNwLYskjvMpLRlPPQahohLDXhL5B8PdySPZUHCczBXyyKYVbxHBCqPV7WXBgDbQuym0+bDsnrk3Clp/D5Vc4bXWsG4wdFwJt3QT7oP+0pc9fQuycmHZY/B+qHZcUmzt3QoJ0R+fPq0ZwqKiYNgwWL4cnnlGM2hMmIBOB4MTJ7CYDvaw2One72WhsFI3H/jUNejTBF7pBh+UMkJOSIj+XTh9OpejR3OIivJi2DAnli+37Mqw+zHqZdi2U69nDHgMeveANmUcPcBWxhQlIb/+zP4VNuhCewcuhH9XwDNd4Jvtpbv/vfqK5cv1eS4u8PzzdsyaZbkXy9Z0wmFPwgtPwfPj4exFaN0MFnwM1+Ng9W/GZR0cYN3XOj1xmqm7CWXBSx/C8o/h+g6d3nweft4O7ZoYl3NwgHXzdL/XXMvLlW/u23QHFuh057A06OwJo6vAn4UiGrjYwfOVYJaZtyPTxqT/6NpCL1atqkmPHpeJiMjkmWeiWLKkOhMmVNL1pYmcOJFmsb7U1vr2kBD9jbW2MIuoKBeGDbPn1i2V3r3taNOm7CP+ta0Mb7WCtmU4/izM/exhALNmeeDtbUefPgnEx+fx1FPOrFvnRbduCZw5U7qQ7+YgyMAOdPoqZOXAsjfh/dXacWmw1boD9x6ze3rClg1w7jzM+NSycly4kEHr1qd1bU9FVq2qT48eEUREpPPtt7cKyp05k05sbDZ79jShXj1nIiPN/3+ztbanNFSvCP1aw7AvzHO/kBD9y6D9b9KIivJk2DBHli/Xxhs//pjNzp25VK2qMHmyE+vWudGly91i2wZzsXhxa5o3L0fXrkWVvR9/vMbOnXFUrerC5MmNWLeuA1267CMz07w/mq3pqbbIvfSMWbN88fa2p0+fSOLjc3jqqXKsW1ebbt0uc+aM+Z2SD1KfQdcWbnHj3Lk8ZsywTEWuUcOehQsr0LfvDZN+mQEDXOnd24U2bUq5X9RDcC9bM8BagwjVZyIh/BJE/qatWt9zwryy3MuekV4G0WEflJYt9cv3q+pmWd28eZNatcwYOq4QJXaou7u706xZM+7cKRrb6OzZszRv3rxUzvBBgwaRm5vLv/9aYPPk/yFiY4uG7IyIgKef1o5v6AxhVaroj/PPT52yjEzZ2SqXL2uN6smTd2nf3oO33qrG6NGXAfDwsCckpCkpKbkMHhxBTo5lnMXt2jlSpYo9J0/qV805OCh07+7IuHFuODvfZOfOLBo0uE3Figo5OZCUpBIbW4nISMvMyL3f/yY5OZfk5FwuXcrgyJEUEhI6MnhwRX75Jf5ety1TktO1dCkOjlyChKUwuB38cqR0950/GT77DtZu087P/AO1q8H7rxV1qHdtB43rwfB3it7HnGi/l9YxnzyZTvv2brz1VmVGj9YbbIcOLY+bmx2rV5fNBiW1asAjPWDIy/cud1TXUTaoZxmH+v3anvh4yM42XaaswvnmO9NrV4DeC8tmdXo+kTHQcyy4uUA5d7hxG375BCKvQ3yitofWuavG34mIMg7TY25q1YRHesOQ5yz3jAfhfnWnWzdtlvC1a/p8Bwf44tchc9UAAJtoSURBVAuYOFGbjW52eSIKyXMenh6sPz95Etr4Q7ly4OSk1e8jBzVHvKVJStL2SG/QQGHPHm1wee6ccb8ZEaFSq5b5vPstGEsVOnKQd8jAuP+5xUl2E4gT5cgjlxzu8ig/c5fiZ2kkcgE7HHClCncpW72td1Oo7wOJhSJ2rJ8A+y9ALwsY5NOy4XKClo5eh4ujYVQr+Oyw6fJHr4OjPdTxgoul6Eps7d0qjFaXKYimsHOndlyxIjodTPsbynK/unsRq1tlcq7Q+DgiFmrdI9xvSUlKUrl4MY8GDezNf/OHoFZNeKQnDDHYY7p3D6hfFxIL+avXr4H9h6DXE5aRxVbGFIW5oVtdXMVbf5x/fkpXf2N1188ZvG9ZORB5A2pVNr9Mhn2F4QSnoUMV3Nxg9WrLWZRtTSecP01bpb52s3Z+5gLUrg7vv2nsUM93pteuDr2ftfzqdIAbuja+Snn9cf75qcuWf76tEvkv9HxNpzd7wI14+OUz7Xo+Dg6w7jOoXRV6v2H51ekA8TmQnQfnChkFI9Khq4kt5odWBDc7WG3mcO9aW6hNtNLGpK689VYlRo+OYefOVBo0uEDFivbk5KgkJeURG9uEyMiy2ePG1vp2w7awRQs76tdXSEx0MSqzfr0T+/fn0auX5SavdasOPm5wLVB/zcEOvugKE1tD3ZVwIw18Cm3RZq9ABRe4YYb6fT97mJ/fbcaPd6NZs3jOndPsX+HhOXTr5sjYsa6MGWO5PRUepB81xdEL4OgAdarAxRjzymQrdedeY3YPDwjZpO0TPni49o5ZEmN7WBrt27vz1ltVGD36apGyR49qnWiDBi4WcagXxpbanhuJ2mcVLxP1+UrR8oG94Xaqfr91c6P9b/Jo0EC/CjQ5GZKT87h0CY4cSSchwZPBgx345RfLVaIvv2zFk0/60r37n8TEFPWuJSfnkJycw6VLdzly5AgJCQMYPLgav/xiXnuBremptkhxesbnn99i/PhKNGt2gXPntPc6PDyDbt3cGTu2ImPGmLkhNoGp+uzhASEhbqSkqAwenGaxtrBdO2ddP1qt4JrWjzozbpwnS5akUL++A4mJxo7Z9esrs39/Jr16mX/h3b1szaa4ch1uJUCDGuZ3qBfG0J6xc2c2zs4KXl6K0Sr1KlUUbtwo25lOjo76bZ3zfdF5utlWdnZ2RbYszzZD+I5SxYl6Or91sgCKolj0/v8rHDwIfoX2ZGnUSJupB3DlitZ59OmjzbACbRZPx47a7L2ywM4OnJ0V3bPt2b69KZmZKgMHRlh05fXu3Vk0b27sCFixwovz53OYN++u0UzF27c1OXr1csTHx47g4LKZiWr4vymMomjJ2dk29tM0haJoKwSczRBRzs216OzR3DzTYUlGDYHjZyD8Qumf+zDY2SlFfo9RoyoSHJxEfHzZzOAOfAFu3oItO+5drrUuCEis+ftv4P5tT3Y2HDt27zKWJN+Z3tAHei2AO2UTjb8IaRla8vaEfh3hva81Z/qxCPArNBmuUU2IsmCgg8CXdXVnm+We8SDcr+788APs2mWcv327dn2FBcLaHTwEfo0KydMQoq4VLZusW4nUoAH4t4MPPza/PIVxd4f69RV++EHl6lWIiVHx8zN2mDRqpLBtm3mU0haMxZfOHOJd0ih+w8AstH9GJVrhjDc3KH5WVTnqoZJLFolmkfFh+OwP+C7U+NqZuTDpR9j8t8mvmB075d79ZOsqWn93s5Rbxtnau1UYrS5rzzPkti7UYa9emsM/ONjysjwIV+MhJgH8CoWKbFQFtp02//O0/48dP/xg3aU0gS/q+gqDFdSf/Re+W2Vc7sxRmPQ+bC7DPsVaY4rCXImD2DvQpxWE6Qylnq7QsREs0f0/TlzS9oT2qwEHdZO2HOw1J0DULdP3LQ2GfYUho0bZERysEm/Bubm2phM+yJgi35nesC70Gg53Es0vhymu3IDY29CnDYTpHOiebtCxMSzZXDYy2DJGenMneG+hdj3fmd6wFvR6He6Uja+YbBWOpYKfsU+NRi4QZcJcMMoHghM0R7wl0cakxjaE27c1h2ivXu74+DgQHJxs6qtmx9b6dsO2cN26HL77zvjHOHPGhUmTstm82bJ97Q/ntf3QDdn+lHZ9hc5pczgWyrtoq9lP6vqF3jU1vfGoGfbsvp89zM0t36hs/L3cXMuEhjXkQfpRU7Sup8l3M9H8MtlK3SluzO7pCduDtX3CBz6DxVcWm0LTw0xXjtat3QCIjS2bKEu21PZcidMmUvZpCWFXtWuertCxISwJKVo+sBesDoUcC+2soB9TmNaN9bZmy0X8/fLLVgweXI2ePf/k6tX7D3K17XwtY/+2NT31f4F8PcPNTfs9rNFP5FO4Pnt6wvbtblpbODDNom3h7t3pNG9uPGlgxYpKnD+fzbx5ScTH57FsmfHkszNnqjNp0h02b7bsEm1TtmZTVK8MFb208YelMbRnnDiRS1aWSp8+DmzYoDmoGzWyo3Ztew4ftn4EnHwqV67MmTNnjK6dOnXKyAlfEsp2l3jhoQkKgkOH4P33Yd066NABXn9dS/ksWADTp2v7hVy5ArNmwfXrsHGj+eWZM6c227YlcO1aJp6e9jz/fGV69vSiX7+zeHras2NHM9zc7HjxxfOUK2dPuXLaKpxbt8wfZj01VeXsWWMN5e5dldu38wqujxzpQkRELrdu5dGpkyMLF3oSFJTGxYvm12zu9b+pW9eZ4cMrsWNHIrduZVOjhjNTp9YgPT2PrVsT7n/zB8DdGRpU0Z/XrQytammOxujbUN4dalWEat5afr4B+UaSthdQ3cowvCPsOAO3UqBGeZj6JKRnw9Zi9gV7GDbvhWlvwLVYLeR7mybw9ghYvsG4nKc7PNMP3plf+mfeizlzqrFtWzLXrmXh6WnH889XoGdPD/r1u1RQpn59Z7p39+Dxx8tmSYmiQODzsOoXTYHJp14deH4obN0Jt+9Ay2YQNBv2HYTT54q9Xal4kLZn/nxYu1YLkbR3r7bf1YAB/D/27jwuqqp/4Phn2GXHBQF3xTXcSXHHhdQ0TVtMrVyy0myxstS01Eot/T2RmU/Z4pZl2uOeSqapuaSlJrjgLoqIiKKIIshyf39clhkYBGFm7rW+79drXsxdZubLnTPnnHvOvecQGlr2z3dzhkCjO7xqVYCmVdX0HJ8M/3seWlSH3v8FezuonDPPYdItyMg5dtV8oLwbVPdR92laVV1/KhFulbFS9lBr9WKT4+fVKwFnjYZj52DBz+r2Wd/Dsg/U4d237oceIfBIOwh9uWyfWxSDAYY9A4uWmKYdUEcs8asMgTlTnjV+QL1L63wsXLNM9mOiuLSTlKQ+jGVkqKOsnDhhhXg+g92/w4RxsPx/0OpBeGEEvDAqf5/HH4PERPWYNA6C2Z/A6jXw6+ai37e0Zs2yY906hXPnFAICDEydakdWFixdmp2zPZupU+2IjFQ4eFBhyBA7GjSAxx8veyHamJepSmf+ZAqZ3MYZddK3DG6Rjdo4Uo2HuMl50kmmPA0JYhRnWJV357kPDfGhAVeIJJNUfGhIECO5wG9kcO+3/5W17Mp9FHT+qtphes/xOEKg0Vx4tbygqa863+XV2zCxLaw9CfE3oaIrjG4JVTzgp5wOtZAq0DpAHRY+5Q60qQLh3WDJYbhexlE09PbbmjUL1q1TGyICAmDqVHLSsrp96FD1yv/ERGjTBmbPVv8HS8Xi5mw613mtitC0Wk7aScpJO+WN0k7OnNeXkiEhpx9iVgRM7QuR5+FgLAxpBw384fEiTljvxaxZ5Vi3LoNz57IJCLBj6tRyOcdH/a1VrmzAz88u7471xo3tSUlROH8+m2vXrNN5bDCoF+4t+sG0rEi4rD4KOh8LMVZqaNL6nMLNBQKNLqaoVRma1oKkFIi9Ap+uhUlPwsmLakPqB4PhYhKszrm2KOU2fBkBUwdCbKLaif5WzsgnP+0se3zFlRWgNjR37Gjg4YetOxeu1nXCgtZthomvwPmL6pDvzR+AN0bA/OXqdgcH+N+X0CIIeg8De3uonFOnTLpOmecUdXOBwCr5y7X8oGkdSLqhpoVPV8GkQXAyDs7GwwdD4eJVWL0r/zXVKkF5T6jum1NHzamjnYqDW2UsK9zcHAkM9MqPr5YnTZtWJCkpjdjYm/j4OFO9ugcBAeokzvXrq4XepUupJCSU8cqvIjzURs1/jsdAYDWYNQaOxcCCtTnf10xo0QB6v5bzfeXME5mUrF6oWhZudhBo1GFeyxmaukJSJsTegVkXYVk9dXj3rTeghzc8Uh5CTdveqOOizqv+cIFRj8pq+nQ/Nm5MyTkntWfQIG9CQ93o3l3NlIcO9SE6Op3ExEzatHFl9uwAwsOvcOKEdVqYtS7bC8fjwLp12UZ5oUNOPFlcuaLO1VnQ+fMKMTFlL0fdHMHop0QtT2haUa0Txt5U/xrLyFbvSj9xXV0+dg02xsDXXWHkVnC0g887wY8nIN4CF4MX1x7m4AAnT2Yyb54nY8emcPWqwqOPOhMW5kTv3tfL/PllLUdD6kPr+rA1Si1T2zSA8OdgyXa4boHjo2XaKUpR5+weHrBpnXrB2NPD1VHTPHPaNxITrTOs+fTp1di48bpRPawioaGedO9+jNq1nRk0qAIbNlzn6tVMmjRxJTy8Btu33+DQIet0Immd97i5QKBf/nItX2haE5Ju5qTnn2HS43AyPic9D8xJz3+avk+XxlDbD76xYDvCrFnOrFuXaXRO4UxWlsLSpRnUqmVgwABHNm3KJDFRoWpVO8aPd+L2bYUNG6zTqTV3bjMGDapK3757SEnJpHJlZwCSkzNIS8umVi1XBgyoyqZNl0lMTKdq1XKMH1+f27ez2LDBAlcTFaC3eqo5at0sfzSRWrV8aNq0MklJt4mNte4FcnerZxw7lsbJk+nMm1eFsWPjuXo1i0cf9SQszJ3evWOsEs/d0rOHB2za5Iqrq4Gnn07F09NglBcqVupXMj0xyC9H1fUJCYXPs86fzyImxjq/r7u1NbuVg8nDYcU29c71OlVg5mg4dQF+2Wv5WO7WnnHjhsK336bzySeuJCXd4sYNhTlzXNm9O4O9e617bnovunTpwqxZs1i8eDFt2rRhyZIlHD58mObNm5fpfaVDXef27YN+/WDGDHjvPbXDfMwY+OGH/H1mzlSvEvnqK/D2hp071cLBGlfx+Po6snhxXfz9nUhOziQqKpXu3Y+weXMynTp5EhKijo12+nRLk9fVrLmPc+Yu87ay+vUdmDHDnfLl7YiJyWLatFuEh1unoeBux8bf34kOHTwZMyYAHx8HEhIy+P33G7Rte4jERMvMNxtcC7a9k78cnjOU58IdMOxr6NMcFhpVKJaNVv9OWQVTV0FaBnSoD2O6q43QCcnw+3Fo+77awV5Wr0yDD16F/74HvuXVudPnLYf3C4yk8NTD6onG0vVl/8y78fV1YPHiGvj7O5KcnEVU1G26dz/F5s35/+zw4RW4cCGDTZtscwdAt1CoUQ3mf2+6/k6GOgz8mJHg5gqxcbBiHXxooTmZzClJ3rN6tTrn0IQJ8NlncPy4OqzSrl1FvWvJBVeHba/nL4c/rv5d+AdMWQ99m6rLkQXmwwwNh+0n1efv94ahbfK3HXyn8D6l5eUGM0ZB1UpqA+qKbTBxXv5VyKt/h5EzYcKz8NnrcPwcPDYRdkWV7XOL0q0L1KgO8xcX3jZyBEwxOk47ck7uhr6gnsxbWknSji3t2wf9HocZ0+C9STnxvAk/LM3fx98fPpmlXnwQHw+Ll8AH06wTT9WqBpYutaNCBbVBYOdOhZCQzLy7C2fPzsbFBcLD7SlfHiIjFcLCsiwynF0tHgGgHf9nsv5v/o9YfgXAnao0ZBhOeJBKAidYajJnejYZBNCJ+jyNHY6kconTrDTZ516UteyytGB/2Pa0UTxhOfFEwciN0KAiDGmizp9+9Tb8FQ8dvoOjOd9feiY81QimdABnezibrM6p/smfhT/rXuntt1W1qtrIlZ+WISSEvLRcv74aa/nyEBMD06apDR6WElwTto3LXw7PGTpz4U4YNh/6NIOFz+VvX5ZzEc2UNTA1Z6qZ2b+Ci6P62vJuEBkLYf+BMxa4w7hqVTuWLnWnQgUDiYkKO3dmEBJyiytX1IbakSNdmDIlfyzYHTvU1oKhQ2+yaJF17v7p1jmnrLBC3n+vtD6nCA6EbdPzl8NHqH8XblHnQp+5Um1c/Wo0eLvBzqPQYwqkG1Xb31qglvvfvQHlnGDvCegy0TIdAcWVFQDDh9tx4QJs2mTdu/e1rhMW9Mp78MFY+O+H4FtRnTt93vfwfs7dzlX8oO9D6vPIAnPZhz4J28s4jVVwPdhmVAcPz8lbFm6CYbNg5rKctDMGvN1h52HoMcE07bw/FIY+lL98MGfaktA3YXsZ64rBwb5s29Y/P77wDmp8C6MZNmwzffrUYuHCsLzty5b1AGDKlL1MnWqBwsoML3eY8TJUrax2kq/4DSbOVYftreEPfUPV/SKXmb4u9HnYXsbhK4PdYVtQ/nJ4zvQnCy/DsFOwOglGnoEJVeCzWnA8DR47BrsKnP8O94ULd2DT9bLFU5B6TloNf38HkpOzc85Jz7J5s3qRYv36zsyY4Uf58vbExGQwbdplwsOtNySF1mV74XgMLF3qZBRPFiEh6VYdlSNXsC9sMxo0M7yj+nfhURhWws6ywb/A56GwpR9kK7DiFLxqo/l6MzPh4Yev89FH7qxb5427ux2nTmUyZMgNNm4sez2jrOVoegY81QGmPAXOjmonZfha+GR1mUMDtE07RSnqnL1FMwhppT4/fcR0W80G5kdWKys176lj1B6WSvfux9i8+QZVqzrRrZsXY8b44eZmT2zsHVasSOLDD603j7DWeU9wHdj2Qf5y+HD178LfYNjnMHOVejHvVyNz0nM09PjAtGwHeK4r7DoGxy04UrZ6TlHO6JwiK++cwtHRQIcO9owZ44SPj4GEBIXff8+ibdtUEhOtUz986aXaAGzf3tFk/dCh+1i06Dxpadl06FCRMWMC8fFxIiEhjd9/v0LbtttJTLR8v4De6qnmBAcHsG3b0Lzl8PDuACxceJBhw9ZY9bOLq2c8/PBZPvrIn3XrauLubs+pU+kMGRLLxo3WmRbkbum5Uyd7QkLUrsrTp03n3qlZM4Vz52w3YplW7tbW7JAFTQJhyMPqOcbFK7DpT3j3K7XfwNKKa894/fVUsrNdWbHCHWdnA7/8ksFLL2k0fGwRunfvzrvvvsvbb79NWloaw4cP59lnn+XQobINSWhQCg4kL6wqPj6er776ihdeeIGAAP/iX2Blxt++wWCjkuQuFKVd3nODwfJXrt0rRcm/bU4PxycqypOVK1fSv39/msxqrHU4KEYnAoZG2sWRSzG6W9tgOKBdIDkUpUXec4MV5mO9F1HbD+WnnSY6SDvGec9L2sWRSzG6G9HQVrs4cim7858bXLWLI1fUXh2nn7KN1GMRilHl1WCwQk32HilK/kFZS3cNI4E+5PdmGJ7VMJAcUW8ZpeV1OkjLRhcTGKw3Kl+JmdYLtYsjl0k8w7WLI1fU68Z5YZXiX2BlipJfuTB4ahhIDsXo+kOt680m5xR9NAwkR9Q047TTQOtwTMoJ3f3Wqxe9n60oRp0XhrCi97MV5df85wbDHO0CyREVFZqfnofooCw1Ou0z7C56P1tQjM4jDAYrXUl7DxSlSd5zPfzWo6KM88JArcNBUfIvbDN8pmEgOZRX85/rrj1MB2WpYjS8t8Fg3eF2SyIq6lR+em6tg7zQ6N4hg8EKtyveA0VpnfdcD3mPST2jf9H72UrUVOO8sIbW4aAo+ScSBkPpLpS3JEXJ/5J0l34MU7ULJEdUVH+j9KN9t55pXcM2N6QVxTQtx2gXSA5FqZn3XHdtzYakone0kYsX0/P6Sf39te8nLSn9Tt4shBBCCCGEEEIIIYQQQgghhBBCaMhqQ75nZWWRkJDApUuXiI+PJyUlhbS0NNLT07lz5w5OTk44Ozvj4uKCh4cH/v7++Pn5UblyZezt7a0VlhBCCCGEEEIIIYQQQgghhBBCCFEiFu9Qj42N5eDBgxw9epR0M5N4G48wbzAzboezszMPPPAATZs2pVq1apYOTwghhBBCCCGEEEIIIYQQQgghhCgRi3WoJyUlsX79es6ePQuYdpwXZDAYUBTF7D5paWkcOHCAAwcOULNmTXr37k358hpPPiyEEEIIIYQQQgghhBBCCCGEEOJfxyId6nv27GHLli1kZWXldZKbu/vc2N22577H2bNn+eKLL+jSpQtt2rSxRKhCCCGEEEIIIYQQQgghhBBCCCFEiZS5Q/23335j586dZjvS73aXelEMBkPeeyiKQmZmJr/++iu3bt2iW7duZQ1XCCGEEEIIIYQQQgghhBBCCCGEKBG7srw4KiqKHTt2oChKXkd47lDupelMB0xeb/yeu3fvJjIysizhCiGEEEIIIYQQQgghhBBCCCGEECVW6g7127dvs3HjxkJ3lEP+XeZleRR8P0VRiIiI4Pbt22X9n4UQQgghhBBCCCGEEEIIIYQQQohilbpD/Y8//iAtLQ2g0B3lxutK8wAKdaoDpKens2fPnlL/s0IIIYQQQgghhBBCCCGEEEIIIURJlXoO9aioKJP50o07wJ2dnalbty4BAQH4+vri4eGBm5sbjo6O2NvbY29vT1ZWFpmZmWRkZHDz5k1u3rxJQkICcXFxnDp1ioyMjLw703PfX1EUDh48SOfOncv4bwshhBBCCCGEEEIIIYQQQgghhBB3V6oO9StXrpCcnJzXiZ7b2W0wGOjQoQMdOnTA0dHxru+R27Hu7OyMu7s7AIGBgQDcuXOH7du3s3v3bpP3BkhJSeHKlStUrFixNKELIYQQQgghhBBCCCGEEEIIIYQQJVKqId8TEhJMlnM7vDt16kSXLl2K7UwvjpOTE2FhYXTo0MGkM72ozxdCCCGEEEIIIYQQQgghhBBCCCEsrVR3qN+4caPQOoPBQJs2bcockLH27duza9cuk3nUi/r84iQnJ5Oammqp0EotMTEx73mBf0tzitJO6xBMKEplrUMwoYfjc+jQobznymINAzFDOap1BKYUpYXWIZhQkrT9fKOko7+8579aR2BK2a11BKYU7YsufaefDK0jMKUoZbuo0NL68IvWIeTRQ7llkpbf0S4Oc3T329JbPPO1jqBgXlheu0DMUO799Miq9FBvzqWs1TqCgmlHX+WE7n7r57WOwJTyq9YRmFKUV7QOwfSc9ICGgZihtNU6gnyK0kTrEEzo4bdumheW0y4QM5RXtY7AlO7aw3RQlgLExsZy/fp1oqK0jgTOn88vsPRwzm5MUVprHUIePeQ9xpSVWkdQMC/01C4QMxSlv9YhmNBd+lEmax2CaT1Md3UN/aRnRampdQgmdNfWrIP2jPj4eK1DKJVSdahnZBRuvXZ3d8fJyanMARlzcnLC3d2dlJSUYj//bpKTk5k7d+49v85aHB0dcXV11ToMIYQQQgghhBBCCCGE0LXY2Fjmz9fBFZYFeHt7ax2CEEIIIWykVB3qDg6FX5aammp2ePayUBTF7F3l5j7/blJTU8nIyKBfv35UqlTJUuGVmqurK15eXlqHIYQQQgghhBBCCCGEELp2/fp1AIKDg6levbq2weTw9vamWrVqWochhBBCCBspVYe6m5tboXVZWVkcOXKEoKCgMgeV6/Dhw2RmZhbqpDf3+SVRqVIlAgKOWyK0UlOU0Lznho7axZFL+T3/ucGg/ViRxkODGAxfaBiJSlFG5T234LUipWY8rJXBoP0YV8ZDy+jh+BgPBWQwxGgWRy7j4WUMGo96E7Ur/7l8V4WZfFeGC9oFkkNRquY9N+hgQJOovfnPDSe0iyOXUi//uUEHQ3saD91kMCzTLpAcijIg77nBkKBhJKbDVRoMGs99QYFytI92ceQyHj7TsLfo/WzFeHRIg+GkdoHkUJS6ec/1UHaZ1sO0iyOXyRCI8ToIyD8/IK3LdtNyXdt8EPSddgw6GIHeePoW3R0fvZXrtTUMJEfUmvzn+mtD0DAQCqQdHYx6ajwdiMGwq+gdbSQqyvi72qhhJCpF6Zn3XA/1VOPhV/UXj/bfV1SUeo5cvXp1mjRprHE0BcsK7eLIpad4TGLpol0cuZTf8p/rLi/U2/HRW9ml/ajUJlN4GgwLNYsjV1RUy7znBsM27QLJYdLXpfHvy3jaMa3zQSiYL3+jXSA5FGVE3nODYaqGkaguXnxB6xBKxa40L6pYsaLJssFgQFEUfv75Z86ePWuRwM6cOcP69evN3vFe8POFEEIIIYQQQgghhBBCCCGEEEIISyvVHer+/v44Oztz584dgLyh3tPT0/nuu++oVasWjRo1okqVKlSqVAl7e/ti3zMzM5PExETi4uI4evQoMTExZoeQd3Jywt/fvzRhCyGEEEIIIYQQQgghhBBCCCGEECVWqg51Ozs7GjZsyMGDB/M6vHM7vxVF4ezZsyZ3qpcrVw43NzccHR1xcHDAzs6OrKwssrKyuHPnDrdu3SItLc3kM4zfz/hvw4YNsbMr1Y31QgghhBBCCCGEEEIIIYQQQgghRImVqkMdoG3btkRGRgL5Q74XfJ4rNTWV1NTUvO25Cu5nLHc/4/0NBgNt2+pgslQhhBBCCCGEEEIIIYQQQgghhBD/eKW+1btSpUq0bt3apFNcUZS8O8kLPgruY9wBb+5hvE/ue7Zq1YpKlSqVNmQhhBBCCCGEEEIIIYQQQgghhBCixMo0dnq3bt2oWbOmSSc6FO40h6I7zo2Z62zPVaNGDbp161aWcIUQQgghhBBCCCGEEEIIIYQQQogSK1OHur29PQMHDqRu3bqF7jjPZdxJXtwjV8HO+cDAQAYOHIi9vX1ZwhVCCCGEEEIIIYQQQgghhBBCCCFKrEwd6gBOTk4MGjSIRx55BBcXl7sO5W5OUfspioKLiwu9e/dm8ODBODk5lTVUIYQQQgghhBBCCCGEEEIIIYQQ9zmDwcDq1att8lll7lDP1aJFC15++WVCQ0Px8fEp8bDvuYz39/b2JjQ0lJdffpmWLVtaKsQSGTkygMjIYJKT25Oc3J7du5vTo0f5vO3OznZ8/nldrlxpR0pKB/73vwfw9XW0Wjzu5SD8FYhZDqm/wq7/QnCD/O3K7+YfY5+yTjyTJzujKJ4mj+hot7ztX37pwqlT7qSmenD5sjurV5ejfn2LJbNCOnTwZ+3ansTFPYuijKJv35oF4g0mOvopbt4cQVLScH799RFatfK1WjwBAfDdd3DlCqSmQlQUFEzCU6fCxYvq9l9/hcBA68QycmR5IiPrkpz8AMnJD7B7dx169PDI2165sgOLF1cjPr4hN28GsX9/Xfr397ROMMDkyaAopo/o6PzttWvDypVw+TIkJ8OyZeBrva+qkHHjvFCUmoSH5//et271Q1Fqmjy++KKCVT7/7CFQbhR+fP6fwvtuWKFu69vLKqHkKS49T56sfoc3b0JSkpqeW7Wybkxg/rsytmGDL4pSk759Xa0fDDBunAeKUpXwcC+T9SEhTmzZUpGbNwNITg5g+/ZKuLhY/vPPRoOSWvjxeTj4+MBn/4FjByH1Kpw7DrP/Dzwt+FPvUA7WBkBcbVDqQV830+1KPfOPsT75+9R1hNUBkFgHkuvAjmoQWs5yMbq7QvhrELMSUrfCrnkQ3DB/+4KJoOw2fWz8xHKfb2z8+Ib8+WcYN270JyGhL6tWtaNePQ+TfZ5/vjZbt3YmObk/ijIALy/r1TOMjRvniqJUJjzcPW9d7dr2rFzpxeXLlUhOrsSyZV74+lqvXJ88uRyKUt7kER2d/9t6/nlntm71IDnZB0Upj5eX+Qs2S6vDA7B2EsQtAGUt9G1deJ+pg+DiQkj9CX59HwL9C+/zcDDsmaXuk/QDrHqnFLF4wNp6ENcclNbQ16fwPg1cYE09uN4SbgbDnw9ANaNrUCs7wuI6EN9c3b4/CPqbeR9LGDfOB0WpS3h4xbx1X37py6lTNUhNrcPly7VYvdqf+vWtl56LK7f69YNfflG3Kwo0bWq1UEoUj1XLUdeRUDESKierjwq7wbmH+X19NoC/As59Tdc7dYEKu6DyDfCNB4+PAMuPGKZ1HaxwPIXzwsqV7Vi82JP4+IrcvOnL/v3l6d/f2Wox6K0OFhAA3y2CK5cg9QZE/W0aj68vLPgW4s7BrWTY+LP1znGKO6eoXBkWL4b4ePX47N8P/ftbJxbQX7luZwfvvw5ntkPqUTi1FSa9bLrP5Ncg+le4eRiS/oZfv4NWVsoP79Z+4OMDn33mwrFjbqSmenDunDuzZztbtJ5qTknO2Rs0gDVr4Pp1NR39+SdUq2b5WIo7B/zyUzgVCakJcPkMrF4K9etaPo5cI0f6ERnZjOTk1iQnt2b37sb06OGdt/3LL+tw6lQLUlNDuHy5FatXN6B+fQtW2o2MH1+bP/9sw40bYSQkdGHVqhbUq5d/olGjRjkUpafZx+OP+1k8Hq3rqHqPR2/fFxT/W1+woHB5snGjVUIpUTy2rKfqrX3OvRyEj4aYpZC6EXbNgeD6+dt9fWDB2xC3HG5tgI0fQWAV68WjZV7YoQmsnab+r8pv0Ldd4X2mDoWLP6nH6tdZhY+FjwcseQeS18G1tfDNWHCzUFuU3sqtswdBSSr8+Hxm/j4hD8KW1XAzFpLPwfafsUrbHECHDpVZu7YrcXFPoihD6du3usl2RRlq9jF27ANWiae4fq7nn/dn69ZmJCe3R1FC8fJysEoc+fHop56RS09lRYcOfqxd+xBxcQNRlBH07VvDZPuCBR1RlBEmj40bu1snGDPGj2/Pn3+O4MaN8SQkjGXVqgHUq2edc/ShQ4ea7Us+deqU2f3j4+Pp2bOnVWIpyKItoq6urnTq1IlXXnmF4cOH061bN4KCgihfvjwODg5mh3l3cHCgfPnyBAUF0a1bN4YPH86rr75Kp06dcHW1TWeIsQsX0hk//gwtW+4nOHg/v/12nTVrgmjUSI0lPLwOjzxSgSeeOEKnTn8TEODEypVBVovnm3EQFgzPTIPGQ2HTX7D5EwjIaav0e9T0MWwGZGfDiu1WC4nDh7Pw80vJe7Rvn5q3bf/+LIYNu03Dhjfp3j0VgwE2bXLFzkpt725ujkRGXmX06B1mt584kczLL++gceNltG+/ipiYFDZt6k3FipYvOb29YdcuyMiAnj2hUSN48024di1/n7ffhldfhZEjoXVruHVLrTA7W6E97sKFDMaPv0TLlicJDj7Jb7/dZM2aGjRqpH7Y4sXVqF/fmT59Ymjc+AQrVyazfHkNmjWzUq0COHwY/PzyH+3bq+tdXWHTJrVQ6tIF2rUDJydYtw6KGNzCooKDnXjxRXciI+8U2vbVVyn4+cXmPd5+O8kqMTwYCn6B+Y9ufdT1P60y3W/MaPU4WVtJ0vOJE/Dyy9C4sfpdxsSo32PFikW9a9nd7bsCGDPG0ybHJz8eR1580a1QPCEhTkREVGTTpnRatbrMgw9e5vPPb5KdbfkYHuwAfrXyH91yLrT4aSUE+KuPse9AUDAMfQF6hMG3X1ju890MEJkOoy+b3+532vQx7BJkK7DiZv4+P1cBB6BLLLQ8r77fz1WgsoX6bb4ZD2EPwjPvQ+OnYdOfsHl2flkKsPEP8Oud/xg42TKfXVCnTpWYO/ckISGbCQvbjqOjHZs2dcLVNf+fdXV1ICIinunTj1onCDOCgx148UVXIiMzjOKATZu8c/Lma7Rrdy0nb/a2at58+HAmfn7X8h7t298wiSkiIoPp029b5bPdnCHyLIyeZ3772/3h1d4w8gto/RbcSodfpoKzUd9I/zbw3euwYAs0fQ3ajYMfSlEvc7ODyFQYHWN+e21n2NkIjt2G0Ghocgg+iIM0o3xmcR2o7wJ9TkDjQ7AyCZbXhWYWrmIHBzvz4oteREamm6zfvz+NYcMSaNjwHN27X8ypF1axSr2wJOWWmxvs3Anjxln+80sTj1XL0awLkDIerrSEK8Fw5zfwWQMOjUz3cxsDmCk4HZpA+Q2QHgFXmsP1AeDSJ6dT3XL0UAczjadwXgiweLEn9es70KfPdRo3vsrKleksX+5Fs2aWb3TSPO2Yi2d7TjyPQKMm8OZbpvGsXgG1a0Hfx6D5g3DuPGyOUPNsayjqnALUzvT69aFPH/X4rFwJy5dDs2bWiUVv5fq4kTBqMLw8BRqGwbiZ8PYL8MqQ/H1OnFW3N+4J7Z+EmAuwaTFUNH+tapkV1X4QEGBHQICBsWPTCQq6ydCht+nRw4Fvv7Vew2lJfl+1a6tlxbFjEBoKTZrABx9AWprl4ynuHHD/QRg2Cho+CN37qefGm1ZjtfYVtT3sHC1bRhIcHMlvvyWzZk1DGjVSv5P9+28ybNgpGjb8m+7dj2AwGNi06QGrxNOpU3nmzj1PSMgfhIX9haOjgU2bHsz7bcXG3sbPb4vJ4733TpKSksnGjYmWDwht66h6j0dv31dJfuugdooYlycDB1o8lBLHY8t6Kuirfe6bsRDWEp6ZAY2fg037YPOs/PP11e9D7QDo+y40fxHOJcDm/wNXKzVfapkXurlA5GkY/Zn57W8/Ba/2h5Hh0Ho03EqDXz42PR/9/h14oCaEvQW934GOTeCrN8seG+iv3HqwK/g1yH9065cTzxr1b8iDEPETbNoKrcLU/T//Bqu0zQG4uTkQGZnE6NF7zG7381tm8hg2bCfZ2QorVpyzSjzF9XO5utoTEZHE9OnnrfL55uPRRz0D9FdWqOnnKqNH7y5yn40bY/Hz+z7vMXDgVusEY0anTjWYO/cvQkK+JSzsu5zznqdxdbXOxcI9evQgPj7e5FGrVi2Tfe7cUdsR/Pz8cLZGB5sZVrvspFq1alQrcAlvdnY26enpZGRk4OjoiLOzM3bW+kWU0s8/XzVZnjTpLKNGBRAS4smFC+k895w/gwZFs3XrdQCGDTvOsWOtaN3ak717b5h5x9JzcYLHOkLfd2BHpLpu6gJ4pC2MehTe/QYSCrQr9W0PW/+Gs/EWDcVEZiYkJJjvsfr66/zGp3PnFCZNSicqyp2aNQ2cOWP5Xq6IiPNERBSd6S9detJk+Y03djFiREOaNKnAb7/FWTSWceMgNhaGD89fFxNjus+YMfDhh7B2rbr87LOQkACPPqpe8WlJP/+cYrI8aVICo0ZVICTElaNH02nb1pVRo+L46y/1BGvatMu8/npFWrZ05eBBK7QWkJt2Cq9v1w5q1oTmzSElJ+whQ9QCrEsX2LLFKuEA4OZm4PvvK/H881eZNMm70PbUVIWEhCzrBZDjimnWw/g34NQZ2L4zf13TxvDmyxDcCS6ZvyDLYkqSnpcuNV1+4w0YMUJtdPrtN8vHVNx31bSpE2++6UlwcDyXLln/giw1nvI8//w1Jk0yvZUmPNyLzz67yccf5/8OT5zItEocV66YLo9/E06dhu051xk9Pih/25mzMHEKLJkP9vaQZYGkHZGqPopS8OfT1x223oazOcVFBTuo5wTPJcChnP6U8Ykw2huCnCHhLu9dEi5O8Fgo9B0POw6q66Z+C4+0g1H94d2v1HXpGYXLVGvo2fN3k+WhQ/8kMfFRWrYsz44damPS7NknALWR3hbUtOzF88/fYNKk/DtJ2rVzomZNe5o3TyIlRS3Dhwy5wbVrlejSxYktW8xf2FJWd6tnzJ6tdth26mSdKmzEAfVRlDF94MPlsHavuvxsOCQshkdDYNkOsLeD2c/DWwth/q/5r4uOLUUsyeqjKNOqwYZkGGf03mdM+7Np6w6jYuCvWzmvuQiv+0FLNzhYxt9WLjX9+PH88wlMmmTaG/P11/l143PnMpk06SpRUTWoWdORM2cyCr5VmZSk3FqyRP1bw/RCb6vQvBxN/9l0OWUSuI4CxxDIzOnUc2gKbm+qHe4ul0z3LzcAMqLg5gfqctZpuPE2+CyHm1NBuUlZ6aUOZhpP4bwQoG1bR0aNSuGvv9SyfNq0W7z+uistWzpy8KBly3fN007BeN6C2AswfIT5eOrWhTYh8EBTOJqTtEaNhksXYOBT8O18y8YDRZ9TALRtC6NGwV9/qcvTpsHrr6t3mhw8aPlY9Faut20BazbDhpy2tXNxMPAR0zvQl641fc0b02DEAGjSAH4ruv2u1Ioq148cyebxx/M7+86cyWLixHSWLClnsXpqQSX5fU2bBhs2mHZqnTlj+Vig+HPArxfmbzt3HiZ9AFF/QM0aar3e0n7+2bQFedKk84wa5UdIiAdHj97m66/zf3jnzqUzadI5oqKaU7OmC2fOWLYNoWfPfSbLQ4ceIjGxKy1berJjxzWysyEhwbQu2q9fZZYvj+fWLeuUHVrWUfUej96+r5L81gHS04suT2wdjy3rqaCf9rm8tu9JsCNKXTd1ETzSBkb1gcWboM0D8MBwOBqjbh/1KVz6HwzsAt9usGw8oG1eGPGn+ijKmMfgwyWwNqe8fvYjSFgBj7aHZVuhQXXo2RqCR8J+tfrBK3NgwwwY+yXEXy36vUtCb+VWoXjG5MSzS10OnwaffQUfz87f54QV21MjIuKIiCi6vyEhwfQip759q7N1azxnz5b93Mqcu/VzHT2ayuzZFwDo1MnbKp9fOB791DNAf2VFRMQFIiIu3HWf9PSsQunIVnr2/N5keejQNSQmvkXLlv7s2GH5izKcnZ3x8zMdxSY0NJSgoCAcHBxYsmQJjRs3ZuvWrRgMBlatWsWjjz5q8TgKsmlvtp2dHeXKlcPT05Ny5crprjO9IDs7GDDAFzc3e/744wYtW3rg5GTH5s35P/7jx1M5dy6NNm0sPy6Zgz04OEBagfbq2+nQvnHh/X19oFcb+Ha9xUMxUbeuHXFx7pw+7c6SJeWoVs38JYqurjBsmCNnzmQTG2vDW0aL4OhoxwsvNOL69XQiI8tYgzCjTx/Yt0+9AyIhAQ4cUBu2ctWqBf7+sHlz/robN2DvXmjTxuLhmFDTshdubnb88Yfagr57dyoDBnjj42OPwaBud3GxY9s26xTioDa4xcXB6dPqyULuNTfOzurVr+lGHQFpaeoVg8Z3nFjD3LkVWL8+lS1bzBfMgwe7kZhYjUOHApg+3Zty5ax/y7yjIzw9AOZ/l7+uXDn44VsY/SYkFHEnsCUVl57NxfzCC+qwiJGR1onpbt9VuXIGfvihIqNHX7VZ4/vcud6sX5/Gli2mPViVKtkREuLM5ctZ7NpViUuX/Nm2rRLt2jkV8U6W4+gITz8F8xcXvY+Xl5r3WKORsji+9tDLDb416iS8mg3H7sCznuBqUAcTftEbEjJhvwXqyw4OOWVpgY7G2+nQvkn+cmhzSFgPx5bCf8dCeSsPN5ord9jXpCTrdE6XxNy5Hqxfn16ogzw/b84vw9PSlJy82XrD1data09cnDenT3uxZIkb1arpo75YqzL4l4fNRnncjVTYewLa5AxJ2KIOVK2oll8HPlWHht8wGR6obu4dS88A9PKGE7choj4ktIA9DxQeFn73TRhQHnzs1dcMKA8udrDNgteAzp3ry/r1t9iy5e4nda6uBoYN8+TMmQxiYy3bmQ73Xm5Zm77KUTtwGQAGN8j4I2ddOfD+AZJHQ7a51gFnoEAmrNwGQzlwtMyUXHqrgxWVFwLs3p3BgAEu+PgYcurNzri4GNi2zfJ5t77SDvTpDfv2w/KlkBAHB/6CEc/lb8+9EcD47t3cen17M8OUWkJR5xQAu3fDgAHqcOLqd6UO67ltm3ViKUjrcn33AejaFurm3LzRpAG0D4aNRYyU4ugILzwF129AZLT5fcqqpO0HAF5eBm7cUKxWTy3u92UwQK9e6igQERHqPnv2QN++Rb+npZg7BzTm6grDnlY7JGLv3tZqEWobQsWc9rCUQttdXe0YNqwyZ86kERubbuYdLCt3GNqkJPN1iBYtPGne3JNvv7XewdFbHVVv8RjT+vsqaVkaGqpuP3YM/vtfKG+lkTr0Vk8F/bTPOdirD7Nt30H5d14bb1cU9YL49tYbMDaPnvLCWv7gXwE2789fd+MW7I2GNjmDULVpBNdS8jvTQd0/W4HWDbEovZVbjo7w9BMwP6fPr1JFCAmGy4mwKwIuHYNt66CdmWndtODr60KvXlX59tuTxe9sAQX7ubSmh9+W3sqKkggN9SchYTDHjj3Of//bjvLlbXNXtjleXupnJyXZtoN/0aJFODk5sWvXLr788kubfjbYuEP9fhEU5EZKSgfS0zvx5Zf16NfvMNHRqfj5OZGenk1ysuldCAkJd/Dzs3xHyc3bsPswvDtELTDt7GBwmHplnr+Z6QmG9ICUVFj5e+FtlrJ3b1bOUGypjBp1m1q1DOzY4YZ7/hSDjBrlSEqKB7duedKzpwNhYbfIsHy7aYn16lWDlJQRpKW9wOuvNyEsbB1Xr1r+qqbatdW7IU6ehO7d4Ysv4LPP1LvQQR0SBApf0ZSQkL/N0oKCXEhJeYD09MZ8+WVV+vU7R3S0Wgg9+eQ5HB0NJCWp2+fNq0q/fjGcPm2dxp+9e2HoUOjRQz1OtWrBjh3g7q42Uty6BR9/rHYcu7rC//2f2gnmb2ZuWksZMMCNFi2cmDDhutntP/xwk6efTqRz50vMmJHMM8+4s2SJFcczz/Fob/D2goVGF36Fz4Dde2GtFa6+Nae49JyrVy/1quW0NPXun7AwuGr561WK/a7Cw8uze3c6a9faphAfMKBcTjyFbx+tXVttPJgyxZOvv75Fjx5XOHDgDlu2VCIw0Lp3CDz6iDpk0cIl5rdXqADvjoevFlg1jCIN8YSUbFhZ4LqdbheguTOkBEJaXXjDB3rEwXULDMN1MxV2H4J3h4F/xZyytDu0CcovSyP2wrMfQNdXYNwX0Km5Ooe6ta/7Mxjg00+bs3NnIkeO3OVWZCsaMMCZFi0cmDCh8MVUe/ZkcOuWwscfuxvlzR44OBjw97fOwdm7N5OhQ2/So0cKo0alUquWHTt2eJjUM7Til9NZnXDddH3C9fxttXPK8ykD4cNl0PsDuHYTtk0HHwv+D76O4GEP4wPUu9gfOgarkmBlXehoNHXvkyfB0QBJwZD+IMyrBf1OwmkLnY8OGOBOixbOTJhQdMY/apQXKSl1uHUrkJ493QgLi7NKvbCk5Zat6KIcdQiCyinglw5eX8K1fpCZ02PmGQ4ZuyF9rfnXpv8Cjm3B5SnADuwCwP09dZtd2StnequD3S0vBHjyyWQcHSEpyZf0dF/mzfOkX7/rnD5t+V4/XaSdgvG8CCdPQfde8MU8+Cwcnn1G3X7sGJw7BzM+VOsgjo7w9li1Yd7fCuc4dzunAHjySXK+K7UzYN48dV7a06ctH0tBeijXP/oCfvwZjv0Kd47D3z/DpwvghzWm+/XqAimHIC0aXh8OYc/C1Wvm37MsStJ+kKtCBQPvvuvMV19Zr/GguN+Xry94eMD48WqH+kMPwapV6tQBHTtaLSzA/DkgwKgRkHIRbl2CnmEQ9ihWbV8JCnIlJSWE9PS2fPllHfr1O0Z0dP451qhRfqSkhHDrVht69vQmLOwIGRnWvYFC/W01ZOfOJI4cMZ9PP/dcVY4evckff1y3Sgx6q6PqLR5jevi+SlKWRkSoy127qncpduqkDutrjXNAvdVT9dQ+d/M27D4C7z5j1PbdTe0Y9q8Ax86rQ7zPGAHe7uDooA57Xs3XfNu4pegxL/TL6cRLKFBeJ1zL3+ZXHi5fN92elQ1JN/L3sRS9lFt58fTKiSdnJKfaNdW/U8bB14uhxxNwIEqdTz2wtvXjKc6QIYGkpGSwcqV1h1svqp9LK3r6bemtrChORMQFnn12O127bmDcuL/o1MmPjRu7Y2dng/lyC1DL+h7s3HmeI0esM9XOzz//jLu7e97jiSeeAKBu3brMnDmT+vXrU79+fat89t3Ybiyi+8jx46k0a7YPLy97Hn+8EosWNaBTp4OaxPLMhzB/PFxcpQ7Hc+AkLN0CLc2kleEPw/e/QroVL4aPiMi/mODQIdi7N5Vz5zx48klH5s9XS8fvv8/g11+z8Pc3MHasE8uXu9Ku3S2TqxttaevWOJo1W07FiuV4/vmGLF/+EK1bryQx0bIdb3Z26lVNEyeqywcPQlCQOl/64rvcLWpNx4+n06zZyZy07MWiRdXo1Ok00dHpfPCBH97e9nTteoYrVzJ59FFPli+vQYcOpzl82PIXHERE5D9X047a+PbkkzB/PjzxhFpwvfqqeuXr0qWwf7/15rWpWtWe2bPLExZ2yeTuS2Nff51/8nf4cAbx8Vn89psftWtf48wZ6wzfDfDcs7DxV4jPGX31kZ7QpRM0t/Ld+sZKmp63blXnpKxYEZ5/Xr2qr3VrSLRgWVrcd/XII+Xo0sWF5s0vWu5Di43Hm7CwK2bztdxK1bx5t1i4UK2kHjyYTNeuzgwf7so771jvStDnhsDGTRBvZtoPDw9YvxKOHoMpH1othLsa7gXf34CCX+NcX7icBR1i4bYCI7xgXQA8eB4uWaCv4pn3Yf47cHFtTll6ApZuzi9LlxmNHHL4DESdgjP/U+9a/22/+fe0hLlzWxIU5EX79lac1+Iuqla1Y/ZsD8LCrptNy1euKDzxRDJffOHBq6+65uTNaezfn2G1vDkiIv9M+9ChLPbuzeTcOS+efNKJ+fO1u4u/pHLPY6b9BCtzbgQeNhsuLIAn2sFXv1joc3L+rrkGn+aUFZGp0NYDRvrC7zkXeH9QFbwdoGs0XMmER31geSB0OAqHy1gNqlrVgdmzKxEWFldkOQrw/fcp/PprKv7+9owd68Py5X60a3fhrq8pDb3Vw3RRjmYehyvNwOAF5R4Hr0WQ1AnsA8G5izo3elHu/Aopb6kd8d7fgZKuDv/u3BEoWwagtzpYcXkhwAcfuOPtbUfXrte4ciWbRx91ZvlyLzp0uMbhw5aNRxdpp2A8+2Hiu0bxPAAjX4DF36nlav8n4duv4Fqiurx5C2zYaJ25Vos7p/jgA7Vjv2tXdVqcRx9Vj02HDup8sdakdbkO8GQvGNwHBo2BIyehWUP49F24mACLV+bvt/UPaNYbKvrA80/B8jnQuj8kWviijJK0H0BOPXW9K0ePZjNlivUaDor7feXW49esgU8/VZ9HRqpTCYwcCb9b8eaFgueAub5fDr9uBf/KMPZVWL4Q2j2E1dpXjh+/TbNmB3PaECqyaFFdOnU6lNfY/f33ifz663X8/Z0YO7YKy5fXp127KIuX68bmzn2AoCB32rffa3a7i4sdgwYF8MEH1hvHV291VL3FY0wP31dJylLjaRcPH4aoKHV6h9BQy0+ford6qt7a556ZAfPfgos/QWZWTtv3b9Cynrrc/z349i24tlZd3rwfNuxVR+CyFj3mhXqjl3IrL56nYePm/Hjy2uYWwsIf1OcHD0HXjjB8MLzzgXXjKc7w4XX5/vszpKdbd/jIovq5tOpU19NvS29lRXGWLcufg+jw4WtERSVx5swAQkP9+e0327SJ55o7txdBQb60b2+F+b1ydO7cmS+++CJv2c3NjYEDB9KypWVGzCstq3Wop6aqP8py5cphKOWZ9K1bt7hScHJYoIaVJ5TJyFA4fVr9ER84cJMHH/TktdeqsmzZZZyd7fDycjC5S71yZScuXbJOhfXMRQh9FVxdwNMNLl2FH6eo6421bwINasCAKVYJo0jJyXDiRDaBgfmX5dy4ATduZHPqFOzZc5tr1zzo18+BH3+0Xgfk3aSmZnL69A1On77B3r0JnDgxkOeea8BHH/1t0c+Jj8+fNzBXdDQ89pj6/FJOgV65cv7z3GVrzOcHuWlZTZsHDtzmwQfL8dprFZk5M5FXXqnIAw8c5+hRtUYTFZVGhw5ujB5dgVGjLDu/vDlq2oHAQHX511/V5xUqqA1xycnqMbXWfHUtWzpTubI9Bw4E5K1zcDDQsaMzL7/sgbPzuUInC3v3qscqMNDBah3q1atBt1DoPzh/XZdOUKcWXC8wB++KJbBjN3TuZfk4ikvPuVJT1Tt+Tp9WT8JOnIDnnoOPPrJcLMV9V198kUKdOg5cv246pvKKFZXYsSOdzp0vFXzLMsbjmBOPb4F4nHj5ZXfq11c/7+hR0zQSHZ1J9erWu46tejXo1gX6Dyy8zd0dItaod7L1G6D+xmytfTlo4AQDCpRfXcpBbzfwOa3evQ4w+jKE1VTvaP/YAndLnYmD0NEFytL3C5eluc5ehMRrEFjVeh3qc+a0oHfvADp2/I24OG3mP8pPy/mXqqtp2ZGXX3bF2fkyv/56h8DAq1SoYMjJmxXi4yty5oxt5gxITlZy6hn2Nvm8u7mUkxYre+c/z10+mFNWxeesP2p0kfmdTDhzCapbcOrcK5mQkQ1HCySd6NvQPucO9drO8IofPBCVv19UKnTwgNGV1bnVy0LNmx04cCA/71XTTzleftkbZ+dTZGerdUK1XpjBnj3xXLtWh3793PjxR8tOMVPScstW9FGOZqhznwOkHADHB8H1NeA22NeBytdNd/dZAXd2QFJndflWuPqw84fsa+BQE/gIsspWOdNbHay4vLB+/au88oorDzxwhaNH1bwvKiqTDh0cGT26HKNGFR6isCz0kXYKxFNgKPDoY/BYv/zlAwegeTB4eoKTk9qRvWeX2hFvbcbnFLVrwyuvwAMP5B/DqCi1M330aPUOFGvRQ7kOMGs8fDQPlv2sLh8+DjWqwIRRph3qqbfh9Dn1sfcgnPgNnntSvcPdmsy1H7i7Q0SEKykpCv36pVq1nlrc7+vKFfUuOnP7WHMqMnPngLnU9hU4dRr2/AXXzkO/R+DH/1knFrUNQb3A/sCBWzz4oDuvvRbAyJGnc+LJ4saNLE6dSmPPnhSuXWtNv34V+PHHwm13ljBnTiN6965Ex457iYszf+H/44/74epqz+LFtmtM1lMdFfQTj16+r9LUC8+eVS9KCwy0fCeJ3uqpBWndPnfmIoS+nnO+7gqXkuDHd+FMzo0CB05C8xfUc3knB7iSDHvmwr7j1okH9JcXgnpcACr75D/PXT54Kn8fX2/T19nbqVPaGb+mrPRUbgFUrwrdOkF/ozuLczvWjxZIJ9En1P211L69Lw0aeDFgwDarf1ZR/VwjR54o5pXWjEcfvy29lRX36uzZFBITbxMY6GnTDvU5c3rSu3ddOnZcSFycZc+Fjbm5uRGYWzAVWK8li7XsJycns3//fk6cOMGVK1fIzmkFcXBwwN/fn6CgIJo1a4ajY8nn3Dx9+jSrV68utP69996zVNglYmcHzs527N+fwp072XTt6s3KleqPuF69ctSo4WL1uSdS09SHtzt0fxDeLjA9wHO9YN8xiLLBUHbG3NygTh07vvvO/FVCBoP6cHa2/dATRbGzM+DsbPmTjF27oOAoE/XqqVd5gprhxserd0vkzm/o4aHeSfKFlRsucqn/uwFXV7UBo2BjZVaW7YYsUdMOfFdgrp3coSo7d1aH3FtbxEikZbVly22CgkwvHFiwoCLHjmXw8cfJZq+8bdZMndohPt56HUnDnlbn91lvdBfjR5/AN4tM9zu8F16fAOs2WieO4tJzUdT80rKxFPddXbmSzbx5pgX44cNVeP31JNats3yD5pYt6QQFmXbSL1hQPieeFM6cySIuLov69U2L2Hr1HNi40fKjP+Qa9mxO2imQJjw84Je16tXAfZ6w/lXBRXnOE/alQVSB689ysiOyCxQj2eTf7WspeWWpB3RvDW//1/x+VSpBBS+It8LQuaA2uvfrV4XQ0K3ExNyyzoeUwJYtdwgKMj0pWbDAi2PHMvn441sm+eDVq+oX1LmzI76+dqxda5uElF/PsNLtEPfgbALEJ0HXphB5Vl3nUQ5a14Mvcn53+0+p8/vVrwq7cjqgHOyhZmU4Z8G7RjMU+OsW1C9nur6eC5zL+WqK+m1lKZb5bW3ZkkpQkGmhsGBBZY4du8PHH18zW44aDAar1QtLW25Zi57KUaN3B4MzpEyG1G9MN1U6DDdeh/R1hV+WndOa6TIQss5DxoEyRaG3OlhxeaGrq5pebVVv1lva2bUb6tcrEE9dOGdmdMobOafEgYEQ3BLenWz5eAoyPqdwdVXX2focRy/lOoBrOTP/f3bx/7+dAZwtP4tdIQXbDzw84JdfXNV6ap9Uq9dTi/t9ZWTAX3/Zvjwxdw5oTl77ig2+q1xq3mK+3M5v77HOD2zOnEb061eZ0NC9xMQUfV733HNVWbv2Mleu2O7ObD3VUUEf8ejp+ypNWVqlitqBbG60Ny3isSWt2+dyFWr7nme6/UZOERtYBYLrwbs2nMpOy7ww19l4tY2iawuIzGn/93BV50b/Iue7+eMo+HhAi7rqhQgAXVqo5fzeaPPvWxp6K7eGDc6JZ1P+upjzEHcR6tc13bdeHfVOdi0991w99u27QlSUFebbKUZuP5deaPnb0ltZca+qVHGlQgUX4uNtN9rAnDk96devAaGhi4iJuW6zz9UTi3So79q1i+3bt5OZmYmimLbaZWRkEBsbS2xsLNu3b6dXr140bNiwxO9d8P1Ke7d7SU2fXouNG5M4fz4dDw97Bg3yJTTUm+7do7hxI4tvv43nk08CSUrK5MaNTObMqcvu3cns3WudDvWHHlQzjuOxaoVh1ih1/pgFRvMoe7jCE6Hw5lyrhGBi1ixn1q3L5Ny5bAIC7Jg61ZmsLIWlSzOoVcvAgAGObNqUSWKiQtWqdowf78Tt2wobNljnMnM3NwcCA73ylmvV8qRp0wokJaVz9WoaEye2ZO3aGOLjb1GxogujRwdRpYobP/1k+SsPwsNh926YMEEdVrBVK3jhBfWR69NPYdIkdW6Os2fVIQkvXgQz142U2fTpfmzcmML583dy0rI3oaFudO9+mWPH0jh5Mp1586owdmw8V69m8eijnoSFudO7d4zlgwFmzYJ169RCKSAApk5VG7eW5sxtM3SoehVYYiK0aQOzZ6vH9ISVLpi7eVPhyBHTSXxu3VK4ejWbI0cyqF3bgUGD3Niw4TZXr2bTpIkj4eHl2b49jUOHrDP5j8GgVgIX/aAem1wJl9VHQedjIcZKJ2DFpWdXV3VInLVr1UpExYrqnT9VqsBPP1k2luK+K4CEhMIN7OfPZxETY/m8R43H9H3z41HXz5qVwtSpnkRGZnDw4B2GDHGjQQNHHn/cOj20BgMMewYWLTFNOx4esGmd2rj69HD1zjFPT3VbYqJlhmxzM0Cg0clRLUdo6gxJWRCbc5g87OAJD3jTTIfiH7fhWjYs8oP3r6pDvj/vpb7PegvdwPpQa3U4uOPn1bvOZ42GY+dgwc/gVg4mD4cV29Q71+tUgZmj4dQF+MX8KIVlMnduSwYNqk7fvjtJScmkcmUXAJKTM0hLU7+8ypVd8PNzITBQvdW4cWMvUlIyOX8+lWvXLNfwpKZl099OflpW1w8d6kJ0dBaJidm0aePI7NkehIencuKEdS4smjWrHOvWZRjVM8rllBXq/125sgE/P7u8u28aN7YnJUXh/Plsrl0r+xBgbi4QaDQ3YK3K0LQWJKVA7BX4dC1MehJOXlQ72D8YDBeTYPUedf+U2/BlBEwdCLGJaif6Wzl3cf608x5jsYNAF6NYnKGpKyRlQuwdmBUPywLh9xuw9Qb08IZHfCA05wrrY2lwMk2dN33sebiaM+R7mBf0tsDdHGr6MU2Pt25lc/VqFkeO3KFWLQcGDPBg06ZUEhOzqFrVgfHjfXLqhZY/4StJPczHB6pXV+shkH/yfOkSJCTYNh6rl6Me0yF9o9oBbvCAcoPAKRSSukN2gvooKOs8ZMXkL7uNhfQIIBtc+oP7eLj2JGUd8l1vdbDi8kIHBzh5MpN58zwZOzaFq1cVHn3UmbAwJ3r3vm7xeDRPOwXj+Qx2/w4TxsHy/0GrB+GFEfCC0d3ejz+m1ivOx0LjIJj9CaxeA79aobHybucU16+r51nz5sHYsWpHwKOPqvPL9+5t+VhAX+U6wLotMPElOH8RjpyA5g/AG8Nhfs5dYa7lYOJoWLsZ4i9DxfIw+hmo4gc/bbj7e5fG3doPPDxg0yZXXF0NPP10Kp6eBqN6qmKVoYVLUlbMmqUO7/n77+rUCj16wCOPqEN7WkNR54C1asKA/rDpN0i8AlUDYPwbcDsNNmwq8u3KZPr0GmzceM2oPawSoaFedO9+hFq1nBkwoCKbNl0nMTGDqlWdGT++KrdvZ7Nhg+U7BObObcSgQQH07Xsg57elnnAkJ2eSlpafOOrUcaVjx/I8/PA+i8dgTOs6qt7j0dv3Vdxv3c0NJk+GFSvUemCdOjBzJpw6Bb9YaIqme4kHbFtP1Vv73EPBBdq+X8xp+84Zmv7xTpB4Hc5fhsa1YPbLsHoX/GqlZKRlXujmoh6DXLX8oWmdnPPRy/DpCpj0NJyMUzvYPxgGF6/A6pxzzWPnYeNe+HosjAwHR3v4/BX4cavlbhjQU7mVF88gWPSjaTwAsz6HqeMh8rA63PuQgdCgLjw+1DqxqP0UnnnLtWq507RpeZKS0omNVa8I8fBw5IknavDmm9bNB+Hu/Vygjrrs5+dEYKB6pX7jxm6kpGRx/nwa165Zvj1VT/UM0F9ZUTj9eOSln6SkdCZPbsGKFWe5dOk2dep4MnNmK06dusEvv1ywfDBmzJ37MIMGNaZv3x9JSUmncmX1TvHk5HTS0rQZmVoLZe5Qj4iI4M8//zTp+C7Y6Z277datW/z000+0atWK7t27l7hzPHe/gp3r1uDr68TixQ3x93ciOTmTqKhbdO8exebN6g/39ddPk50NK1Y8gLOzHb/8ksRLL520Wjxe7jDjBahaSS08V2yHiV+rc8bkeqqrWngstcFUbVWr2rF0aTkqVDCQmKiwc2cWISG3uHJFwdHRQIcO9owZ44SPj4GEBIXff8+ibdtUEhOt890FB/uybVvfvOXw8HYALFx4jJEjf6dBA2+GDHmIihXLcfVqGn/9dZkOHVZz9KjlM+J9+6BfP5gxA957T+0wHzMGfvghf5+ZM9XM+Kuv1Ln9du5UT9CtcSW+r68DixdXw9/fgeTkbKKibtO9+1k2b1Z7qB5++CwffeTPunU1cXe359SpdIYMiWXjRusM1VG1qlo5r1BBrZTv3AkhIeqweqCeLMyYAeXLQ0wMTJumFmxauXNHoVu3cowZ44mbmx2xsZmsWJHKhx9et9pndusMNarD/CVW+4gSKy49Z2VBgwYwZIjakHv1qno3R4cOhYfL+TeaPfsmLi4GwsO9KF/ejsjIDMLCEq02THa3Ljlpp8D8ay2aQUgr9fnpI6bbajYwf3fZvQp2gW3V8pfDc0bCX5gMw3JO/J/yUDu0l5rJXq5mQ48LMK0i/FYNHIEjd6BvXOG72UvLyw1mjMopS2+onecT56llqUMWNAmEIQ+rV8JfvAKb/oR3v4I7Vrh25qWX1OGKtm/vYrJ+6NC9LFoUA8DIkXWYMiUob9uOHV0L7WMr9es7MGOGO+XL2xETk8W0abcID7fe1a9qPcPdqJ6RkVfPABg50oUpU/Jvy96xQz3ZGDr0JosWlT3BBAfCtun5y+Ej1L8Lt6hzoc9cqTZyfDUavN1g51HoMQXSjdLKWwvUtPXdG1DOCfaegC4T4fo93rQY7AbbGhnFkjPj0cJEGHYGVl+DkTEwIQA+qwnHb8NjJ2FXzoUomQo8fAw+qg7r6oO7HZxKgyFnYGPyPR6YUkhLU+jQoRxjxnjj42NPQkImv/9+m7ZtY0lMtHxeWJJ6WJ8+sHBh/nLufGhTpqgNibaMx+rlqJ0veC0Ge3/ITobMKLUz/c499HA69wT3iepd7RmRcK1vTge7dWlRB7ubzEx4+OHrfPSRO+vWeePubsepU5kMGXKDjRstf3ed5mnHXDyPw4xp8N6knHjehB+W5u/j7w+fzFKnsoqPh8VL4INplo8Fij+nePhhddj7devUocRPnVKP1UYrjeqkt3L9lanwwRvw3/fBt4I6d/q8pfD+HHV7VhY0qAND+qvzp1+9Dn9FQYcBcNQKzRp3az/o1MmekBC1Ser0aQ+T19WsmcK5c5ZvQyhJWbF6tTp35oQJ8NlncPy4OvTnrl0WDwco+hwwLQ06tIUxL4GPt3qB9e+7oW03taPCGnx9HVm8uK5Re1gq3bsfYfPmZPz9nejQwZMxYwLw8XEgISGD33+/Qdu2h0hMtHyl+aWX1IrP9u2tTdYPHRrFokX5o5wMH16VCxfS2LTJesMsg/Z1VL3Ho7fvqyRlaZMmavng7a3e6LJpE7z7Ltyxwo3zequn6q19zssNZjwPVSvmtH3vgInf5rd9+5eHT0apQ5vHJ8HiTfDBd3d/z7LQMi8Mrg/bjI51+Evq34URMGwmzPwx53z0DbX9Yuch6DHe9Hx08HT4/FXY8n/qTRQrdsCrc8ocWh49lVugDj1foxrM/77wttlfgoszhE+D8t4QeQTC+sOZGOvEEhxckW3beuQth4erDXILF55i2DD1qoennqqFwWBg6VIrzaFgpLh+rpEjA5gypWbe/jt2NAdg6NBjLFpk2ekz1Xj0U88A/ZUVwcGV2LYtf17X8PAQABYuPMGoUbto0qQ8Q4bUxdvbiYsXU9m0KY53393PnTu2GZ3mpZceBGD79qEm64cOXc2iRZE2iUEPDEoZeqn//vtv1q5da7ZjPPdtzXWuGwwG6tevz+OPP469fdFDb0dFRbFq1SqTDnWDwXDPQ77Hx8fz1Vdf8cILLxAQYMUJVkpAUULznhs6ahdHLuX3/OcGg3WHrS8JRcm/CsdgsNE46HehKPm3Xlh5cIQSiYo6xMqVK+nfvz9Nmlj/ApPiKEqTvOd6OD7GuZnBEKNZHLkUpWbec4Nn0fvZQtQu47TTWNtg0Pl3ZbDNlX13oyj5EzoZXDUMJEfUXqP046yD9GM09KyhrXZx5FJ25z83GJZpF0gORRmQ99xgsPDtDPdIUSrnPTcYLDhpWylFRcXlp+WJOkjLRsMmGqwwIsK9UozaQA0G610wWlKKkj8+nx7qGab1MB2kH+OqYLwODpC/8QXWMdrFQcFyXdt8ECAq6rJu046h5DOyWY1i1Eamh9+6aT1VZ+V6bQ0DyRG1xjgvrKF1OAXaEDQMhAJpR+PzPwDFqInHYLDSFQH3ICrK0yjt6OGcq2fecz3UUxWlfN5z/cVjpauS7kFUVFX9lqW6K7u0iwMKxNKl6P1sRTGa51h3eeFrOkjLxsdHb2VX+aL3sxXFKDs2GBZqFkeuqKiWRnmhleYpvAcmfV0a/74UpV3ec63zQSiYL39T9I42oigj8p4bDBa+UqsULl58Ia/P1t/fv/gX6ESpJyBITU1l06ZNJh3miqLkPYpaZzAYUBSF48eP8+OPP5JVcCwOIYQQQgghhBBCCCGEEEIIIYQQQgdK3aH+999/k5aWBlCoEx3UjnPjh/F+uZ3qp0+fZvny5WRbY3IsIYQQQgghhBBCCCGEEEIIIYQQogxK3aF+8OBBs0O9F+xAL2p9bqf6yZMnWbVqVWnDEEIIIYQQQgghhBBCCCGEEEIIIayiVB3qt2/f5sqVK0DhTvPcda6urlStWpWKFStib29faE514071I0eOsHGj9vPxCCGEEEIIIYQQQgghhBBCCCGEELkcSvOiixcvmizndowrioK3tze9e/emTp06edvT0tI4ePAg27dvJy0tzWT/3Od//fUXbm5udOzYsWz/kRBCCCGEEEIIIYQQQgghhBBCCGEBpbpD/caNG3nPjYd99/Dw4LnnnjPpTAdwcXEhJCSEUaNGERAQkNeRDqZ3qm/bto39+/eXJiQhhBBCCCGEEEIIIYQQQgghhBDCokrVoZ6WlmaynNsp3rVrV9zd3Yt8naenJ0OGDKFWrVomneqQf5f7hg0biI6OLk1YQgghhBBCCCGEEEIIIYQQQgghhMWUqkM9IyOj0DqDwUDDhg2Lfa2TkxMDBw6kSpUqJnen575HdnY2K1euJCYmpjShCSGEEEIIIYQQQgghhBBCCCGEEBZRqg51R0fHQuvc3NxwcnIq8esHDx5MpUqVAAp1qmdmZvLjjz9y6dKl0oQnhBBCCCGEEEIIIYQQQgghhBBClFmpOtTNdZxnZ2ff03uUK1eOp59+Gk9PT6Bwp3p6ejp79uwByFsvhBBCCCGEEEIIIYQQQgghhBBC2EqpOtQ9PDwKrUtNTb3nTnVPT0+eeeYZXF1dgcKd6tKRLoQQQgghhBBCCCGEEEIIIYQQQiul6lD38fExu/7ChQv3/F4VKlRg8ODBeXe9F+xUF0IIIYQQQgghhBBCCCGEEEIIIbTgUJoX+fj4YGdnV+gO8hMnTlC9evV7fj9/f38GDhzIkiVLyMrKsurd6YoSapX3LQ3ld60jMKUonlqHYEJRRmkdggk9DJhw6FD+c0Vpol0gZujh+BhTlJpah2BCuaHt55umHe3iMEd335VSVesQTCipWkdQIP3U0y4Oc5TdWkdgSlEGaB2CCUWprHUIxMbGcv36daKitI4Ezp8/n/dcWathIGYorbWOwJSi1NU6BBN6KLv0XJbir6+A9FS26yEfPHToct5zvaUdJUPrCEzp7vjorVw/o3UEBfNCvbUhaB1BPq3P/wpSlHZah8Aho8SjKD01jKQwRSmvdQgm9BeP9t+XafrRMBAzJJ6iKb9pHYEp3eWFejs+eiu7krSOwJSiDNU6hAJ5Yah2gZihh99XLj3lgwCKMkLrEABITk4mNTWVixdf0DoUEhMTtQ6hVErVoe7g4ICvry+XLl3CYDDkdYAfPnyYrl27lurO8ho1avD444+zfPlyFEWRId+FEEIIIe5zsbGxzJ8/X+swCvH29tY6BCGEEEIIIYQQQgghrC45OZm5c+eSkaGfK6odHR3zpgO/X5SqQx2gSpUqXLp0yWTdjRs3OHz4MI0bNy7Ve9avX58+ffqwZs0aQOZRF0IIIYS4n12/fh2A4ODgUo1iZA3e3t5Uq1ZN6zCEEEIIIYQQQgghhLC61NRUMjIy6NevH5UqVdI6HABcXV3x8vLSOox7UuoO9Zo1a7J///685dy70nft2kVQUFCp5z9v2rQpt2/f5pdffsm7+92SDIapFn2/e6Uok/Oeax0LmMaTmqr9uMLGV6ToLR6DYZqGkaiiovrkPTcYlmkYicp4CES9pWf9xbNQu0CAqKiWec/1d2y0/20pysS85wbDTA0jUSnK23nP9fB9RUX1z3uuh3j0/VvXW3rWNp7ccqt69erUqVNH01hA7/UMvaXl7zWMRKUog/Oea52WwbQepr/0842GkaiMh7HT+vjo7bduTA/x6DvvkXpYQXo7PlFR+UM/GwxzNIxEpSiv5D3X+vvSdx1V+3jknOLu9H1Oof3xMU0/+jo+eivbtY5HT7GA/uo9xmlZf8dHX+cU+jsn1Vf60UM8eipL9RQLFIxH+zrzxYuPA1CpUiX8/f01jub+ZVfaFwYGBubNo278uHz5Mn/99VeZggoJCaFDhw55d6fnvrcQQgghhBBCCCGEEEIIIYQQQghhK6W+Q93FxYWQkJC8oTyNJSQk5M2DXlpdunQhOzubuLi4Ur+HEEIIIYQQQgghhBBCCCGEEEIIUVql7lAHCAsLs1QcZnXr1s2q7y+EEEIIIYQQQgghhBBCCCGEEEIUpdRDvgshhBBCCCGEEEIIIYQQQgghhBD/ZNKhLoQQQgghhBBCCCGEEEIIIYQQQpghHepCCCGEEEIIIYQQQgghhBBCCCGEGdKhLoQQQgghhBBCCCGEEEIIIYQQQpghHepCCCGEEEIIIYQQQgghhBBCCCGEGdKhLoQQQgghhBBCCCGEEEIIIYQQQpghHerFGD++PX/+OYIbN8aTkDCWVasGUK9eBYlH3LNx49qgKBMJDw+zyeeNH9+QP/8M48aN/iQk9GXVqnbUq+dhss/zz9dm69bOJCf3R1EG4OXlaJPY1Pj0lZa1jqdDh8qsXduVuLgnUZSh9O1bvdA+DRp4sWZNF65fH8TNm4P588/eVKvmZsMYq7N27VPExb2Bokymb9/6NvvsgiZP7oCiTDR5REe/qFk8AAEB7nz3XS+uXHmF1NTXiYoaRsuWfprEonV6LkhPaUdvx6YgW5cVxdFbPMKU1um5Qwdf1q7tRFxcPxRlMH37VjXZ7ubmwJw5wcTG9iM1dQBHjvTmxRfr2iw+Y//2tNyhgx9r1z5EXNxAFGUEffvWKHLfL75oh6KM4LXXHrBhhOJ+onXeY46e6mF6qveAtsemQ4cA1q7tTVzcMBTlFfr2rW2yvV+/OvzyS1+uXBmBorxC06YVbRKXaYz6+r70FI+eYtFjPHrMC3Ppod6jp+9Lj+0H4v6hp7SsB3o7ryjunNTX14UFC0KIi+vHrVsD2LixM4GBHkW8mzXi01f6kXiKNnJkMJGRI0lOHk9y8nh27x5Ojx6BNvv8+6HebEuJiYmMGjWK6tWr4+zsjJ+fH927d2fXrl0lev3ChQvx9va2eFzSoV6MTp1qMHfuX4SEfEtY2Hc4OtqxadPTuLraruNRz/GIkgkO9ufFF1sQGZlgs8/s1KkSc+eeJCRkM2Fh23PSSidcXe3z9nF1dSAiIp7p04/aLK78+PSVlrWOx83NgcjIJEaP3mN2e+3aHuzc2ZNjx5IJDY2gSZO1fPBBJGlpWTaJT43RicjIBEaP3mCzz7ybw4cv4+f3ad6jffvFmsXi7e3Mrl2DycjIpmfPn2jUaD5vvrmVa9fSNIlH6/RckJ7Sjt6OjTEtyoq70Vs8ojCt07Nadl1n9Oi/zG7/5JMW9OgRwNNP76Jhw5/59NNjfP55MI88UsUm8eWStJz7XV1l9Ojdd93v0UdrEBLiS1zcLRtFJu5HWuc9BemtHqaneo/Wx8bNzZHIyCuMHr29iO0O7Nx5kXHj7p43WZOevi/QVzx6igX0F4/e8sJceqn36O370lP7gbi/6C0ta01v5xXFnZOuXt2R2rU96Nt3O82bb+DcuVts3tzVpH3cuvHpK/1IPEW7cOEG48dvpmXLrwgO/orffothzZqnaNSokk0+/36oN9vSY489xt9//82iRYs4ceIEa9euJTQ0lKtXr2oal4Omn34f6Nnze5PloUPXkJj4Fi1b+rNjx/l/fTyieG5ujnz/fV+ef349kya1t9nn9uz5u8ny0KF/kpj4KC1blmfHjkQAZs8+Aaid77amt7SsdTwREXFERMQVuX3atBZs2BDHuHH789adOZNi9biMRUScIiLilE0/824yMxUSEvTR4D9uXGtiY28wfPjGvHUxMcmaxaN1ei5IT2lHb8cml1Zlxf0SjzBP6/QcEXGRiIiLRW5v27YSixadYfv2ywB8/fUpXnwxkFatKrJuXdFlniVJWlZFRFwgIuLCXfcJCHBlzpy2dO++kfXru9soMnE/0jrvKUhv9TA91Xu0PjYREeeIiDhX5PYlS44DUKOG7e4UK0hP3xfoKx49xQL6i0dveSHoq96jt+9LT+0H4v6it7SsNb2dV9ztnLRuXQ/atKnEAw/8zNGjav1n1Kg/uXTpMQYOrMm33562amxqfPpKPxJP0X7++YTJ8qRJvzFqVDAhIVU5ejTR6p9/P9SbbeX69evs2LGDbdu20alTJwBq1KhBq1at8vb55JNPWLBgAWfOnKF8+fI88sgjzJw5E3d3d7Zt28awYcMAMBgMAEyePJkpU6aUOTa5Q/0eeXk5A5CUdFvjSFR6i0cUNnduD9avP8WWLTGaxpE7nHtS0h1N4yiK3tKynuIxGKBXr6qcOJFMREQYCQkD2LOnl9lh4f9N6tb1IS7uVU6ffoklS/pSrZqnZrH06RPIvn0JLF/eh4SE0Rw4MIQRI5poFk9BekrPeqOXY6OXsiKX3uIRJaOX9Jxr9+5E+vSpSkBAOQBCQytTr54nmzbF2ywGScslYzDAd9+FMmtWFEePXtc6HHGf0Trv0Xs9TEtybISwHa3zQpB6z93oqf1AiH8yPZ1XODurd6Ebj+6pKJCenkX79ra/uUzcP+zsDAwY8ABubo788Ues1uH867i7u+Pu7s7q1atJT083u4+dnR2fffYZR44cYdGiRfz222+8/fbbALRt25ZPP/0UT09P4uPjiY+PZ+zYsRaJTTrU74HBAJ9+2oOdO89z5Ij1r0q53+IRhQ0Y0IgWLfyYMGGrpnGoaaU5O3cmcuSIdndrFEVvaVlv8fj6lsPDw5Hx4xsTERHHQw/9yqpV51m5sjMdO1bWOjxN7N17kaFD19Gjx4+MGhVBrVre7NjxLO7uTprEU7u2N6NGNePkyWt07/4TX3xxkM8+68qzz2o//6ze0rOe6OXY6KWsyKW3eETJ6CU9G3vllX0cPZpMXFx/7twZSEREZ0aP/osdOy7b5PMlLZfcuHFNyczM5rPPjmgdirjP6CHv0XM9TGtybISwDT3khVLvKZre2g+E+CfT03nFsWPJnDt3ixkzmuHt7YSjox1vv92IatXc8Pcvp3V4QoeCgnxJSZlAevokvvyyN/36LSM6+orWYf3rODg4sHDhQhYtWoS3tzft2rXjnXfeISoqKm+fMWPG0LlzZ2rWrEmXLl348MMPWb58OQBOTk54eXlhMBjw8/PDz88Pd3d3y8RmkXf5l5g7txdBQb60bz9f61AA/cUjTFWt6sHs2WGEhS0lPd1281ybM3duS4KCvGjffoumcRRFb2lZb/HY5Vz6tGZNLJ9+qs53HxmZRNu2lRg5sj6///7vmxM2IiJ/WKZDhy6zd28c5869zJNPNmT+/Eibx2NnZ2DfvktMnLgDgIMHLxMUVJGRI5uxeLG2JxF6S896oodjo6eyQo/xiJLTQ3ou6JVX6hMSUpFHHtnGuXO36NjRl7lzH+Tixdts2XLJqp8tabnkWrSowGuvPUCLFqu1DkXch/SQ9+i5HqY1OTZC2IbWeaHUe+5Ob+0HQvxT6e28IjNToX//3/n229Zcu/YEmZnZbN58iQ0b4vKGgRbC2PHjV2jW7Eu8vFx4/PFGLFr0KJ06LZROdQ089thj9OrVix07drBnzx42btzIzJkz+eabbxg6dCibN29mxowZHDt2jBs3bpCZmUlaWhqpqam4urpaLS7pUC+hOXN60rt3XTp2XEhcnG3nLb4f4hGFtWzpT+XK7hw48FzeOgcHOzp2rM7LLwfj7PwR2dmK1eOYM6cFvXsH0LHjb8TF6WMIWGN6S8t6iwfgypV0MjKyCw2VFB2dTPv2vtoEpTPJyemcOJFEYKCPJp8fH3+To0evmqyLjr7KY4/V0ySeXHpMz3qhl2Ojl7JCr/GIktFLejbm4mLP9OlN6dfvdzZsUOe0O3ToOs2a+TB2bEOrd6hLWi65Dh388PUtx/nzT+Wtc3Cw4z//ac2YMUHUqrVMw+iEnukl79FrPUwP5NgIYX16yAul3nNvtG4/EOKfSo/nFQcOJNG8+UY8PR1xcrLjypV09uzpzr59STaPRehfRkY2p09fA+DAgXgefDCA114LYeTInzWO7N/JxcWFsLAwwsLCePfddxkxYgSTJ08mNDSU3r17M2rUKKZNm0b58uXZuXMnzz33HHfu3JEOda3NmdOTfv0aEBq6iJiY61qHo7t4hHlbtsQQFPSVyboFC3pz7NhVPv74D5t1pvfrV4XQ0K3ExNyy+ufdK72lZb3FkysjI5u//rpC/fpeJuvr1fPk3Dn9fa9acHNzpE4dH7777pAmn79rVxz165uejNerV55z525oEg/oNz3rgZ6OjR7KCj3HI4qnp/RszNHRgJOTPdnZpuuzshTs7Kx/N4Ck5ZL77rtTbN580WTdL7/04LvvTrFgwQmNohJ6p6e8R4/1ML2QYyOEdeklL5R6z73Ruv1AiH8qPZ9X3LiRAUBgoAfBweV5910ZnUIUz87OgLOzvdZhiByNGjVi9erV7N+/n+zsbP7zn/9glzO0b+5w77mcnJzIyrL8qD3SoV6MuXMfZtCgxvTt+yMpKelUruwGqFczpqVl/uvjEUW7efNOobmzbt3K4OrV2zaZU2vu3JYMGlSdvn13kpKSSeXKLgAkJ2eQlqZmJpUru+Dn50JgoAcAjRt7kZKSyfnzqVy7dsfK8ekrLWsdj5ubA4GBnnnLtWq507RpeZKS0omNvcWsWYdZtqwTv/9+ia1bL9GjRxUeeaQaoaERVo8tP0ZHAgPLG8XoQ9OmlUlKuk1srG0b5WbN6sq6dSc5dy6ZgAB3pk7tSFZWNkuXHrVpHLnCw/exe/dgJkwIYfnyY7Rq5c8LLzThhRc2aRKP1um5ID2lHb0dG63LCr3HI+5O6/Ssll0eectq2eWTU3alsm1bArNmNef27UzOnbtFp06VefbZWrzxxgGrxyZp2VTheoaHST0jKSndZP+MjGwuXUrlxIlkW4cq7gNa5z0F6a0epqd6j9bHRj0W+RcF16rlSdOmFUlKSiM29iY+Ps5Ur+5BQICahnI7/y9dSiUhIdWGMerj+9JbPHqKRY/x6Ckv1GO9R0/fl97aD8T9RU9pWQ/0dl5R3Dnp449XJzExjfPnU2nc2JvZs1uyevUFfv3VuiOm5cenr/Qj8RRt+vSubNx4kvPnk/HwcGbQoMaEhtake/clNvn8+6HebCtXr17liSeeYPjw4TRp0gQPDw/27dvHzJkz6du3L4GBgWRkZDBnzhweeeQRdu3axZdffmnyHjVr1uTmzZts2bKFpk2b4urqapE716VDvRgvvfQgANu3DzVZP3ToahYtsv2VTHqLR+jXSy8FArB9exeT9UOH7mXRohgARo6sw5QpQXnbduzoWmgf68Wnr7SsdTzBwRXZtq1H3nJ4eCsAFi48xbBhO1m9+jwjR/7BhAlN+Oyz1hw/foPHHtvKrl2XrR5bfowBbNs21CjG7jkxHmTYsDU2iwPUOeKWLn2UChXKkZiYys6dsYSELOTKFW0qEPv2XaJfv9XMmNGR995ry9mzyYwZ8xs//KDNCbrW6bkgPaUdvR0bIcpC6/QcHFyebdvC8pbDw1sCsHDhaYYN28NTT+1kxoxmfP99O8qXd+LcuVtMnBjJl1+etHpswlRwcCW2beuVtxweHgLAwoUnGDbsd63CEvcprfOegvRWD9NTvUfrYxMc7Mu2bf3zlsPDOwCwcGE0w4Ztpk+fWixcmF+OLFumng9NmbKXqVP/tFGM+vm+9BaPnmLRYzx6ywv1Rk/fl97aD8T9RU9pWQ/0dl5R3Dmpv385PvmkBZUruxAfn8bixWf44IPDNoxPX+lH4imar68bixf3w9/fneTkdKKiEujefQmbN5+xyeffD/VmW3F3d6d169aEh4dz+vRpMjIyqFatGs8//zzvvPMO5cqV45NPPuHjjz9mwoQJdOzYkRkzZvDss8/mvUfbtm0ZOXIkAwYM4OrVq0yePJkpU6aUOTbpUC+GwTBV6xBM6C0ecW86d7bNFU0ABkPx89JMnXqEqVOP2CCawvSWlrWOZ/v2SxgMC++6z4IFp1iw4JRtAjJj+/Zzmh+nXAMHrtY6hELWrz/N+vWntQ4D0D49F6SntKOXOO7GlmVFSegtHpFP6/S8fftlDIbvi9yekJDG8OF7bBjR3f2b0/L27fEYDN+UeH+ZN13cjdZ5jzl6qofpqd4D2h6b7dvjMBjmFLl90aJjLFp0zIYRFaa370tP8egpFtBfPHqKxRyt6z16+r702H4g7h96Sst6oLfziuLOSefMOc6cOcetGsPd6C39SDxFGzFiraaffz/Um23F2dmZGTNmMGPGjCL3ef3113n99ddN1j3zzDMmy1988QVffPGFRWOzs+i7CSGEEEIIIYQQQgghhBBCCCGEEP8Q0qEuhBBCCCGEEEIIIYQQQgghhBBCmCEd6kIIIYQQQgghhBBCCCGEEEIIIYQZ0qEuhBBCCCGEEEIIIYQQQgghhBBCmCEd6kIIIYQQQgghhBBCCCGEEEIIIYQZ0qEuhBBCCCGEEEIIIYQQQgghhBBCmCEd6kIIIYQQQgghhBBCCCGEEEIIIYQZ0qEuhBBCCCGEEEIIIYQQQgghhBBCmCEd6kIIIYQQQgghhBBCCCGEEEIIIYQZ0qEuhBBCCCGEEEIIIYQQQgghhBBCmCEd6kIIIYQQQgghhBBCCCGEEEIIIYQZ0qEuhBBCCCGEEEIIIYQQQgghhBBCmOGgdQC2piiTtQ4hj55iAXB1ddU6BBN6i0dRJmodAocOHcp7rigDNIykML2lZ/3FM1TTzzdNO3o7Ntr/towpyttah2BCD9+XvtOP3uLRW3rWNh7jtKO3cl1v8egvLQ/WOgQTWqdl0Hd6VpQRWodgQk/HR0+xgP7i0V/eI/Uwc2JjY7l+/TpRUT21DoXz58/nPVeUVzSMpDC9fF+gr1hAH/HIOUXJ6aHeY0wPx8c0/ejr+OitbNdTPHqKBfSXlvV3fPR1TqG/c1J9pR89xGNMT/HoKRbQR505Pj5e6xD+Ef51HepCCCGEEEIIIYQQ94PY2Fjmz5+vdRiFeHt7ax2CEEIIIYQQQtiMdKgLIYQQQgghhBBC6ND169cBCA4Opnr16toGk8Pb25tq1appHYYQQgghhBBC2My/rkPdYPhE089XlDfynqempmoYicp4aBmDYaqGkaiMh+OQ41NYVFT/vOcGwzQNI1EZD7Olv3i0/770lp5zGQwztQ7BZDhPPRwb09+6HJ+70UM8pt+XtuU6mJbt+otH2/RsPDSt5MuFmaZlfZWjejs+eojHmNa/LTAtK/T2+9I6Hj3FAqZ1eD2kZT3nPXr4vkzTz14NI1FFRanfV/Xq1WnSZKXG0RQ4PnYaBpJDyc5/rnX6MU07eisntK+jRkWF5T2XvKcwvZVdeotH32Wp9sdHT+c5eqvDm35XczSMRBUVFZr3XA95s2n7wULtAslhPGWm3n5beojHtG9Ab3UNbct2PZfrbdmqYSSqFTTQOoR/BB2c/gghhBBCCCGEEEIIIYQQQgghhBD6Ix3qQgghhBBCCCGEEEIIIYQQQgghhBnSoS6EEEIIIYQQQgghhBBCCCGEEEKYIR3qQgghhBBCCCGEEEIIIYQQQgghhBnSoS6EEEIIIYQQQgghhBBCCCGEEEKYIR3qQgghhBBCCCGEEEIIIYQQQgghhBnSoS6EEEIIIYQQQgghhBBCCCGEEEKYIR3qQgghhBBCCCGEEEIIIYQQQgghhBnSoS6EEEIIIYQQQgghhBBCCCGEEEKYIR3qxbCzM/D++205c+Y5UlNf5dSp4Uya1FrrsHRj/Pj2/PnnCG7cGE9CwlhWrRpAvXoVtA5LNzp0qM7atU8RF/cGijKZvn3raxrP5MkdUJSJJo/o6Bc1jSnXuHFtUJSJhIeHaRaD3r4vvQkIcOe773px5corpKa+TlTUMFq29NM6LN2Q43P/cHd3JDw8lJiYEaSmvsquXU8RHFxZk1j0WM/QW1qWvLloei7XRWFnz76Iorxd6PH55900iUdvvy2J5/70b6/DjxzpS2RkY5KTg0lODmb37kb06OGVt33r1oYoSmuTxxdf1LRZfKB9Wg4IgO8Ww5VESL0FUZHQsmX+djc3mDMHYs+r248chhdtVJSNHBlMZORIkpPHk5w8nt27h9OjR6BtPrwIeqqH6bGeakzr/Edv7WF6Ss96OzZ6pHXeLIrWoUMAa9f2Ji5uGIryCn371jbZ3q9fHX75pS9XroxAUV6hadOKNo1P67y5Q4fKrF3blbi4J1GUofTtW91ku6IMNfsYO/YBG8Wnn9+WHvNCPdUzCtK6XLdlOfoM1fmWlvxKB9bTjo8Iojrl8rZ74MDr1GUprdlKR1bShtepixv2Ju9TGWf+jyb8RkfW047R1MEeg1VitrXExERGjRpF9erVcXZ2xs/Pj+7du7Nr1y5N43LQ9NPvA+PGPcioUU0ZMiSCI0euEhxcmQULupOcfIc5c/7WOjzNdepUg7lz/+Kvvy7i4GDH9Old2LTpaRo1+i+pqRlah6c5NzcnIiMTmD//IKtWDdA6HAAOH75Mt24/5C1nZmZrGI0qONifF19sQWRkgqZx6PH70gtvb2d27RrM1q3n6dnzJxITb1O3rg/XrqVpHZouyPG5v3zzzUMEBVXgmWc2cvHiLZ5+uiGbNz9Oo0aLuHjxpk1j0Vs9Q49pWfLmu9NjuS7Me/DBxdjb51/PHBRUkc2bB/DTT8c1iUdvvy2J5/4jdXi4cOEO48ef5+TJNAwGA0OGVGTNmno0b36Yo0dvA/DVV5d5770Lea9JTbVtPq3l8fH2hl07YetW6PkwJCZC3bpw7Vr+Pp98Al06w9PPQEwMPPQQ/HcuXLwI69ZZN74LF24wfvxmTp5MwmCAIUOasWbNUzRvPo+jRxOt++Fm6K0eprd6qjE95D96aw/TU3rW27HRI6ln6JebmyORkVeYP/8oq1b1MrPdgZ07L7J8+Um++aarzePTOm92c3MgMjKJ+fNPsmpVl0Lb/fyWmSz37FmFb79tx4oV56wemxqffn5bessL9VbPMKaHct2W5WhzvFlBHNHcwB4DI6nDpzRjEHtJI5tKOFMRJz7nFDHcwg8X3qI+FXFiIkcA9U7p/6MJV7nDixygAk68S0MyUZjHGYvGq4XHHnuMO3fusGjRImrXrk1CQgJbtmzh6tWrmsYlHerFaNs2gDVrTrNhw1kAzp27wcCBDWjVSh9X7mitZ8/vTZaHDl1DYuJbtGzpz44d5zWKSj8iIk4REXFK6zBMZGYqJCTc0jqMPG5ujnz/fV+ef349kya11zQWPX5fejFuXGtiY28wfPjGvHUxMckaRqQvcnzuHy4uDjz2WF369l3Djh1xAEyd+gePPFKbUaOa8O67u20aj97qGXpMy5I3353eynVRtCtXbpssjx/fmlOnrrF9e6wm8ejttyXx3F+kDq/6+efrJsuTJl1g1KjKhIS453Wop6ZmkZCgXQeSlsdn3DiIjYXhz+Wvi4kx3adtG1i0GLZvV5e//hpefAFatbJ+h/rPP58wWZ406TdGjQomJKSqJh3qequH6a2emksv+Y/e2sP0lJ71dmz0SOoZ+hURcY6IiKI7f5csUS+GrVHDw1YhmdA6b46IiCMiIq7I7QkJpuc8fftWZ+vWeM6etc3NC3r6bektL9RbPSOXXsp1W5ajbxBlsvwh0WygPQ3w4CDJnOFWXsc5QBxpzOMMk2mEPQayUGhFeWrixqsc5BoZnAS+5iwvUYdvOUsmikVjtqXr16+zY8cOtm3bRqdOnQCoUaMGrVq1AiAmJoZatWrx999/06xZs7zX+Pj4sHXrVkJDQ9m2bRudO3dm8+bNjBs3jqNHj9KsWTMWLFhA/fqlH7lChnwvxu7dF+natRp163oD0KRJRdq3D2DjxrPaBqZTXl7OACQl3S5mT6GVunV9iIt7ldOnX2LJkr5Uq+apaTxz5/Zg/fpTbNkSo2kc4u769Alk374Eli/vQ0LCaA4cGMKIEU20Dks35PjcPxwcDDg42JGWlmmy/vbtTNq3r2LzePRWz5C0fP/RW7kuSsbR0Y6nn27E/PmHtA5FiFKROnxhdnYwYEB53Nzs+OOP/EbjwYMrkpjYgkOHGjN9ejXKlfv3NMP0eQT27YflyyDhEhzYDyNGmO6z+w91v4AAdTk0FOrVg02bbBurnZ2BAQMewM3NkT/+0OZCJ73Vw/RWT82l1/xHT+1hekjPxvR0bIS43+k1bzbH19eFXr2q8u23J7UORRe0zgv1Vs/Ipcdy3dblqFvOfc83yCxyH3ccuEUmWTkd5UF4cZqbXCP/wt29JOGOA7Vxs27AVubu7o67uzurV68mPT29TO81ceJE/vOf/7Bv3z4cHBwYPnx4md5P7lAvxkcf/YmnpxPHjg0jKysbe3s7Jk7cyQ8/HNM6NN0xGODTT3uwc+d5jhyx/dXconh7915k6NB1HD+ehL+/O5Mnd2DHjmcJCvqKmzfv2DyeAQMa0aKFHw8+ON/mny3uTe3a3owa1YxPPvmL6dP38OCD/nz2WVfu3Mli8eIjxb/BP5wcn/vHzZsZ7N59kXffDSE6OomEhFQGDmxAmzb+nDp13ebx6K2eIWn5/qK3cl2U3KOP1sXb24WFCw9rHYoQ90zq8KaCgsrxxx8P4OJix82bWfTrd4LoaLWh9IcfrnDu3B0uXrxDkyaufPxxderXd+Gxx/4dDcu1a8OokfBJOEyfAQ8+CJ/Nhjt3YPFidZ9XXoGv5kHcBcjIgOxseP4F2LHDNjEGBfnyxx/P4eLiwM2bd+jXbxnR0Vds8+EF6K0eprd6Kug3/9FLe5ie0nMuvRwbIf4p9Jg3F2XIkEBSUjJYuVJGptBDXqi3egbor1zXohw1AGMIJJLrnMH86INeODKMmqzlYt66CjiZdKYDJKG2A5XHyWrx2oKDgwMLFy7k+eef58svv6RFixZ06tSJp556iiZN7u0ikGnTpuXd5T5+/Hh69epFWloaLi4upYutVK/6F3nyyfoMHtyQQYM2cOTIVZo1q8Snn4Zy8eItFi8+qnV4ujJ3bi+Cgnxp314fGaAoLCLidN7zQ4cus3dvHOfOvcyTTzZk/vxIm8ZStaoHs2eHERa2lPT0LJt+trh3dnYG9u27xMSJasvWwYOXCQqqyMiRzaSTDTk+95tnntnI/PnduXjxRTIzszlw4DJLlx6nZUtfm8eit3qGpOX7i57KdXFvnnuuCRs3niE+3jZDHwphKVKHL+z48TSaNTuEl5c9jz9egUWL6tCpUzTR0bf5+uv8BtPDh28TH5/Bb781pHZtZ86cKdvdFvcDOzvYtw8mTlSXDx6EoCAY+aJph3pICDzSB86dg44dYe7n6hzqW7ZYP8bjx6/QrNmXeHm58PjjjVi06FE6dVqoSSek3uphequn6jn/0Ut7mJ7Scy69HBsh/in0ljffzfDhdfn++zO6y7O1oIe8UG/1DD2W61qUo29Sj9q4MZK/zW53xZ7/owlnucU3xFgtDr157LHH6NWrFzt27GDPnj1s3LiRmTNn8s033xAaGlri9zHugPf39wfg8uXLVK9evVRxSYd6MWbN6shHH/3JsmXq/CiHD1+hRg1PJkxopbtCSktz5vSkd++6dOy4kLi4FK3DESWUnJzOiRNJBAb62PyzW7b0p3Jldw4cyJ9Qz8HBjo4dq/Pyy8E4O39Edvb9O9fHP018/E2OHr1qsi46+iqPPVZPo4j0RY7P/eXMmWRCQ5fj6uqAp6czly7d4scfe3HmjO3njtJbPUPS8v1Ny3JdlFz16p5061aD/v1Xax2KEPdM6vCFZWQonD6tdo4fOJDKgw+68dprlRk5MqbQvnv3qhfRBAa6/Cs61OPj4Wi06broaHisv/rcxQWmT4N+/WHDBnXdoUPQrBmMfdM2HeoZGdmcPn0NgAMH4nnwwQBeey2EkSN/tv6HF6C3epje6ql6zX/01B6mp/QM+jo2QvxT6C1vLkr79r40aODFgAHbtA5Fc3rJC/VWz9BjuW7rcvQN6tKOCrzE3yRS+NzAFXvCaUoqmUzgcN5w7wBXuUNDPEz2z70zPfdO9fudi4sLYWFhhIWF8e677zJixAgmT57MjpyhrBQl/3hkZGSYfQ9HR8e85waDAYDs7OxSxyQd6sVwdXUo9MPNysrGzs6gUUT6M2dOT/r1a0Bo6CJiYq5rHY64B25ujtSp48N339l+/s4tW2IICvrKZN2CBb05duwqH3/8x7+uIU7vdu2Ko3590w6aevXKc+7cDY0i0hc5Pven1NRMUlMz8fZ2pnv3Grz9to3GFjWit3qGpOX7m5bluii5YcMac/lyKuvXny5+ZyF0RurwxbOzA2dn8/OkN2vmCkB8/D+jkas4u3ZB/QJttPXqqXeiAzg6gpOTOsy7saws9Thqwc7OgLOzvSafrbd6mN7qqXrMf/TeHqZletb7sRHifqW3vLkozz1Xj337rhAVdU3rUDSlp7xQb/UMPZbrBVmzHH2DunSiEqP5m3jSCm13xZ5PacodsnmbQ9zBtMJ8mGSGUAMfHPOGfm+FDzfJ5GwRQ8ff7xo1asTq1aupVKkSAPHx8TRv3hyAgwcP2iQG6VAvxrp1Z5g4sTXnz6dw5MhVmjf35Y03WjJ/vgx7CjB37sMMGtSYvn1/JCUlncqV3QD1Dqm0tEyNo9Oem5sjgYHl85Zr1fKhadPKJCXdJjbW9oXVrFldWbfuJOfOJRMQ4M7UqR3Jyspm6VLbX8F48+adQnPG3LqVwdWrtzWbS0Zv35eehIfvY/fuwUyYEMLy5cdo1cqfF15owgsvbNI6NF2Q43N/eeihGhgMBo4fTyIw0JtZszpy7Ng1Fiywfdmut3qGHtOy5M1F01O5LkrGYIBhw4JYtOgwWVnaNhDo7bcl8dwfpA5vavr0amzceJ3z59Px8LBn0KCKhIZ60r37MWrXdmbQoAps2HCdq1czadLElfDwGmzffoNDh25bNS5jWh6f8E9h9y6YMAGWL4dWreCF5+GFF9XtKSmwbRvMmgm3b6sd7Z06wbPPwBtvWjU0AKZP78rGjSc5fz4ZDw9nBg1qTGhoTbp3X2L9DzdDb/UwvdVT9Zb/6K09TE/pWW/HRo+knqFf6nfjlbdcq5YnTZtWJCkpjdjYm/j4OFO9ugcBAWq6zu2gvHQplYSEVKvHp3Xe7ObmQGCgZ95yrVruNG1anqSkdGJj1U48Dw9HnniiBm++uc8mMZnGp5/flt7yQr3VM/RWrtuyHB1LPcLwZRyHSSUr787ym2Ryh+y8znQX7JnKUdxwwC3ntddzutb/JIkYbvEejZjLKSrgzAvUZgVxZKD9xQhlcfXqVZ544gmGDx9OkyZN8PDwYN++fcycOZO+fftSrlw5QkJC+Oijj6hVqxaXL19m0qRJNolNOtSL8corv/HBB+3473+74uvrysWLN5k3L4r339+jdWi68NJLDwKwfftQk/VDh65m0SKZuzM4OIBt24bmLYeHdwdg4cKDDBu2xubxVK3qwdKlj1KhQjkSE1PZuTOWkJCFXLli/Qrf/UBv35ee7Nt3iX79VjNjRkfee68tZ88mM2bMb/zwg3TagByf+42XlzMzZrSnalV3kpLSWLHiFBMn7iQzs/RD/pSW3uoZekzLkjcXTcr1+0+3bjWpUcOL+fO1H0VAb78tiUeUlpbfla+vA4sX18Hf35Hk5CyiolLp3v0YmzffoGpVJ7p182LMGD/c3OyJjb3DihVJfPjhRavGVJCWx2ffPnU49xnT4b134exZGPM6/PBD/j5PDVS3f78EypdXO9UnToIvv7RqaAD4+rqxeHE//P3dSU5OJyoqge7dl7B58xnrf7gZequH6a2eqjd6aw/TU3rW27HRI6ln6FdwsC/btvXPWw4P7wDAwoXRDBu2mT59arFwYVje9mXLegAwZcpepk790+rxaZ03BwdXZNu2HnnL4eGtAFi48BTDhu0E4KmnamEwGFi61Pb5j55+W3rLC/VWz9AbW5aj/akCwH9pbrL+Q6LZwCXq40EQ6oU9P9GmwGv/4BJpZANvEcVY6vMVLblNFhu5xDectXi8tubu7k7r1q0JDw/n9OnTZGRkUK1aNZ5//nneeecdAObPn89zzz1Hy5YtqV+/PjNnzuShhx6yemzSoV6MmzczeP31bbz++jatQ9Elg2Gq1iHo2vbt53R1jAYOXK11CHfVubM2dwLk0tv3pTfr15+W4WnvQo7P/eOnn07w008ntA4D0Gc9Q29pWfLmoum9XBeF/fprDAbDTK3DAPT325J47l//5jr8iBFFN1hduHCH0NDoIrfbitZpef169VGUhAQY/lzR261pxIi12nzwXeipHqbHempBWuY/eisj9JSe9XZs9EjrvFkUbfv2OAyGOUVuX7ToGIsWHbNhRKa0zpu3b7+EwbDwrvt8/fUJvv5amzYXPf229BKHMT3VM8zRsly3ZTnalq133f4314vdB+AS6YwlylJh6YazszMzZsxgxowZRe7TsGFDdu/ebbLOeE710NBQk2WAZs2aFVp3rzSalUoIIYQQQgghhBBCCCGEEEIIIYTQN+lQF0IIIYQQQgghhBBCCCGEEEIIIcyQDnUhhBBCCCGEEEIIIYQQQgghhBDCDOlQF0IIIYQQQgghhBBCCCGEEEIIIcyQDnUhhBBCCCGEEEIIIYQQQgghhBDCDOlQF0IIIYQQQgghhBBCCCGEEEIIIcyQDnUhhBBCCCGEEEIIIYQQQgghhBDCDOlQF0IIIYQQQgghhBBCCCGEEEIIIcyQDnUhhBBCCCGEEEIIIYQQQgghhBDCDOlQF0IIIYQQQgghhBBCCCGEEEIIIcyQDnUhhBBCCCGEEEIIIYQQQgghhBDCDOlQF0IIIYQQQgghhBBCCCGEEEIIIcwwKIqiaB2EtcXHx/PVV1/Rr18/KlWqpHU4QpTayZMn2bp1K507d6Zu3bpahyPuI5J2RFlI+hGlJWlH/JNIehalJWlHlIWkH/FPIWlZlIWkH/FPIWlZlIWkH1FaiYmJrFq1ihdeeAF/f3+tw7lv/Ss61JOTk5k7dy4ZGRlahyKEEEIIIYQQQgghhBBCCCGEEDbh6OjI6NGj8fLy0jqU+9a/okMd1E711NRUrcMQoswyMzNxcHDQOgxxH5K0I8pC0o8oLUk74p9E0rMoLUk7oiwk/Yh/CknLoiwk/Yh/CknLoiwk/YjScnV1lc70MvrXdKgLIYQQQgghhBBCCCGEEEIIIYQQ98JO6wCEEEIIIYQQQgghhBBCCCGEEEIIPZIOdSGEEEIIIYQQQgghhBBCCCGEEMIM6VAXQvyjGQwGVq9erXUYQgghhBBCiHsg9XghhBBCCCGEEHohHer/cEOHDuXRRx/VOgwhymTo0KEYDIZCj1OnTmkdmtCx3HQzcuTIQttGjx6NwWBg6NChtg9M3Hf++OMP7O3t6dWrl9ahCJ2TfEf8U8k5hbAESUfiXkj9S/xTJCYmMmrUKKpXr46zszN+fn50796dXbt2aR2auE/ExsYyfPhwAgICcHJyokaNGrz22mtcvXq1RK/ftm0bBoOB69evWzdQIYqQe5780UcfmaxfvXo1BoNBo6jE/cC4T8DR0ZHKlSsTFhbG/Pnzyc7O1jo88S8kHepCiPtCjx49iI+PN3nUqlVL67CEzlWrVo0ff/yR27dv561LS0vjhx9+oHr16mV674yMjLKGJ+4T3377La+88gq///47Fy9eLNN7ZWVlSaX/H86a+Y4QQgjxb2HJ+pcQWnrsscf4+++/WbRoESdOnGDt2rWEhoaWuDNU/LudOXOG4OBgTp48ydKlSzl16hRffvklW7ZsoU2bNiQlJWkdohAl4uLiwscff8y1a9e0DkXcZ3L7BGJiYti4cSOdO3fmtddeo3fv3mRmZmodnviXkQ71f5GIiAjat2+Pt7c3FSpUoHfv3pw+fTpve0xMDAaDgZUrV9K5c2dcXV1p2rQpf/zxh4ZRC6HKvZLb+GFvb8+aNWto0aIFLi4u1K5dm6lTpxYqTOPj4+nZsyflypWjdu3a/O9//9PovxC21qJFC6pVq8bKlSvz1q1cuZLq1avTvHnzvHUlzR+XLVtGp06dcHFx4fvvv7fp/yK0cfPmTZYtW8aoUaPo1asXCxcuzNuWe6X/+vXradKkCS4uLoSEhHD48OG8fRYuXIi3tzdr166lUaNGODs7c/78eQ3+E2Erlsp3unTpwssvv2zy3omJiTg5ObFlyxbr/yNCFKFmzZp8+umnJuuaNWvGlClT8pYNBgPffPMN/fr1w9XVlbp167J27VrbBip0rSTpSPx73a3+lVu3MmbuDrcPP/wQX19fPDw8GDFiBOPHj6dZs2bWD14II9evX2fHjh18/PHHdO7cmRo1atCqVSsmTJhAnz598vYZMWIElSpVwtPTky5duhAZGZn3HlOmTKFZs2bMmzePatWq4erqypNPPklycrJW/5awodGjR+Pk5MSmTZvo1KkT1atXp2fPnmzevJm4uDgmTpwIQHp6OuPGjaNatWo4OzsTGBjIt99+S0xMDJ07dwbAx8dHRswSmunWrRt+fn7MmDGjyH1WrFjBAw88gLOzMzVr1uQ///lP3rZ33nmH1q1bF3pN06ZNef/9960Ss9CH3D6BKlWq0KJFC9555x3WrFnDxo0b8+qIxZWlAOvWrePBBx/ExcWFihUr0q9fPw3+G3G/kw71f5Fbt27xxhtvsG/fPrZs2YKdnR39+vUrdKfcxIkTGTt2LAcPHqRevXoMHDhQrvYRurRjxw6effZZXnvtNY4ePcq8efNYuHAh06ZNM9nv3Xff5bHHHiMyMpLBgwfz1FNPER0drVHUwtaGDx/OggUL8pbnz5/PsGHDTPYpaf44fvx4XnvtNaKjo+nevbtN4hfaWr58OQ0aNKB+/fo8/fTTzJ8/H0VRTPZ56623+M9//sNff/1FpUqVeOSRR0xGMEhNTeXjjz/mm2++4ciRI/j6+tr63xA2Zol8Z8SIEfzwww+kp6fnvWbJkiVUqVKFLl262OYfEaIMpk6dypNPPklUVBQPP/wwgwcPlruohBAlUpL61918//33TJs2jY8//pj9+/dTvXp1vvjiCytGLIR57u7uuLu7s3r1apM6nbEnnniCy5cvs3HjRvbv30+LFi3o2rWrSZl56tQpli9fzrp164iIiODvv//mpZdestW/ITSSlJTEL7/8wksvvUS5cuVMtvn5+TF48GCWLVuGoig8++yzLF26lM8++4zo6GjmzZuHu7s71apVY8WKFQAcP36c+Ph4Zs+ercW/I/7l7O3tmT59OnPmzOHChQuFtu/fv58nn3ySp556ikOHDjFlyhTefffdvA7TwYMH8+eff5pchH7kyBGioqIYNGiQrf4NoRNdunShadOmeTcyFFeWrl+/nn79+vHwww/z999/s2XLFlq1aqXlvyDuV4r4RxsyZIjSt29fs9sSExMVQDl06JCiKIpy9uxZBVC++eabvH2OHDmiAEp0dLQtwhXCrCFDhij29vaKm5tb3uPxxx9XunbtqkyfPt1k3++++07x9/fPWwaUkSNHmuzTunVrZdSoUTaJXWgnN/+7fPmy4uzsrMTExCgxMTGKi4uLkpiYqPTt21cZMmSI2dcWlT9++umnNvwPhB60bds273vPyMhQKlasqGzdulVRFEXZunWrAig//vhj3v5Xr15VypUrpyxbtkxRFEVZsGCBAigHDx60eezC9iyZ79y+fVvx8fHJS0uKoihNmjRRpkyZYot/RQgTxucUNWrUUMLDw022N23aVJk8eXLeMqBMmjQpb/nmzZsKoGzcuNEG0Qq9Kk06WrVqlc3iE/pxt/rXggULFC8vL5P9V61apRg3b7Vu3VoZPXq0yT7t2rVTmjZtas2whTDrf//7n+Lj46O4uLgobdu2VSZMmKBERkYqiqIoO3bsUDw9PZW0tDST19SpU0eZN2+eoiiKMnnyZMXe3l65cOFC3vaNGzcqdnZ2Snx8vO3+EWFze/bsuWtZ+MknnyiAsnfvXgVQfv31V7P75Z63Xrt2zXrBCnEXxnXAkJAQZfjw4YqimJbfgwYNUsLCwkxe99ZbbymNGjXKW27atKny/vvv5y1PmDBBad26tZWjF1q6W9/WgAEDlIYNG5aoLG3Tpo0yePBga4cr/gXkDvV/kZMnTzJw4EBq166Np6cnNWvWBCg09GyTJk3ynvv7+wNw+fJlm8UphDmdO3fm4MGDeY/PPvuMyMhI3n///byrvt3d3Xn++eeJj48nNTU177Vt2rQxea82bdrIHer/IpUqVcobKnLBggX06tWLihUrmuxT0vwxODjYVmELHTh+/Dh//vknAwcOBMDBwYEBAwbw7bffmuxnnMeUL1+e+vXrm+QxTk5OJmWr+OezRL7j4uLCM888w/z58wE4cOAAhw8fliEaxX3DON9zc3PD09NTzimEEMUqaf2ruPcoeNeR3IUktPLYY49x8eJF1q5dS48ePdi2bRstWrRg4cKFREZGcvPmTSpUqGDSrnH27FmTuzCrV69OlSpV8pbbtGlDdnY2x48f1+JfEjamFDNCR0xMDPb29nTq1MlGEQlReh9//DGLFi0q1C4bHR1Nu3btTNa1a9eOkydPkpWVBah3qf/www+A+rtYunQpgwcPtk3gQncURcFgMJSoLD148CBdu3bVOGLxT+CgdQDCdh555BFq1KjB119/TUBAANnZ2QQFBXHnzh2T/RwdHfOe585DVnDYYyFszc3NjcDAQJN1N2/eZOrUqfTv37/Q/i4uLrYKTdwHhg8fnjcX8dy5cwttL2n+6ObmZpN4hT58++23ZGZmEhAQkLdOURScnZ35/PPPS/w+5cqVKzSvp/jns0S+M2LECJo1a8aFCxdYsGABXbp0oUaNGjb7H4Qwx87OrlDDrvE0F7mMzylAPa+QcwqRq6TpSPz7FFf/krQj7kcuLi6EhYURFhbGu+++y4gRI5g8eTIvvfQS/v7+bNu2rdBrvL29bR6n0JfAwEAMBgPR0dFm5/qNjo7Gx8en0HDwQuhZx44d6d69OxMmTLjni8UHDhzIuHHjOHDgALdv3yY2NpYBAwZYJ1Che9HR0dSqVYubN28WW5ZKPiksRTrU/yWuXr3K8ePH+frrr+nQoQMAO3fu1DgqIcqmRYsWHD9+vFBHe0F79uzh2WefNVlu3ry5tcMTOtKjRw/u3LmDwWAoNPe55I/CnMzMTBYvXsx//vMfHnroIZNtjz76KEuXLqVBgwb8f3t3FhJl1Mdx/Oco0WqllUWR5diY4UwxKZWEpY0ZZmRlpgiVlhHRgli0W5pSWCCIWBRCVKZt0GJiu11IyxiU1U03lkRNQQwU7cv7XkQDvg5UvOaT9v3czcyZ4X/gcJ7nzP88/yN9n1OGDx8uSXK73Xr06JHCw8M7PGb8Xdpj3rFarYqMjNSBAwd09OjR39rIAfwpAwcO1PPnzz2vX79+rebmZgMjQmfEOII3v3L/FRwcrDdv3ujt27eeza53795t1TYsLExOp7PVGtDpdP7x+IFfNWbMGJ0+fVp2u10ul0t+fn6eakXetLS06NmzZ56NJjdv3pTJZFJYWFgHRQwjBAYGKj4+XuXl5crJyWmVEHK5XKqsrNTChQtltVr17ds3Xb9+XQ6Ho83vdOvWTZI8T/kCRtu1a5fGjRvXag4LDw9XQ0NDq3YNDQ2yWCzy9fWVJA0bNkxTpkxRZWWl3r9/r/j4eA0aNKhDY8ff4erVq7p//75ycnI0bNiwn15LbTabrly5oszMzI4NFF0OCfV/RP/+/RUYGKj9+/dryJAhamlp0YYNG4wOC/i/5OXlKSkpScOHD1dKSopMJpPu3bunBw8eqLCw0NPuxIkTioyM1OTJk1VZWanbt2//VslAdH6+vr6eclI/bsR/YH6ENzU1NXK73VqyZIn69u3b6rN58+apoqJCu3fvliQVFBQoMDBQQUFB2rx5swYMGKDk5GQDosbfpL3mnaVLl2rlypXq1auX1ydTgI4WFxengwcPatasWerXr5/y8vLajHHgZxhH8OZX7r8uXLignj17atOmTVq9erVu3bqlgwcPtmq7atUqZWdnKzIyUtHR0Tp27JiampoUEhLSgb0Bvm+inD9/vrKysmSz2dSnTx81NjaquLhYs2fPlsPh0KRJk5ScnKzi4mJZLBY9e/ZM58+f15w5czxHjnXv3l2LFi3Snj179Pr1a61evVqpqakaPHiwwT3En1ZWVqbo6GglJCSosLBQI0eO1MOHD7Vu3ToNHTpURUVFCggI0KJFi5SVlaXS0lKNHTtWT5480cuXL5Wamqrg4GD5+PiopqZGiYmJ6tGjh3r37m101/APs1qtysjIUGlpqee93NxcRUVFaceOHVqwYIFu3LihsrIylZeXt/puRkaGtm3bpk+fPqmkpKSjQ4cBPn78KJfLpa9fv+rFixeqq6vTzp07lZSUpIULF8pkMv30Wrpt2zZNmzZNZrNZaWlp+vLli2pra7V+/Xqju4dOhjPUu7hv377Jz89PJpNJ1dXVunPnjiIiIpSTk+NJBACdVUJCgmpqanTx4kVFRUVp4sSJKikpaVMONz8/X9XV1bLZbDp06JCqqqo0ZswYg6KGUfz9/eXv79/mfeZHeFNRUSGHw9Hmz1zp+x+6jY2NampqkvR9d/WaNWs0fvx4uVwunTt3zvMUAP5t7THvpKeny8/PT+np6RxnAsP8WFNI0saNGzVlyhQlJSVp5syZSk5OltlsNjhCdAaMI/zMr9x/PX36VEeOHFFtba2sVquqqqq0ffv2Vm0zMjK0ceNGrV27Vna7Xc3NzVq8eDHXUXS43r17a8KECSopKVFMTIwiIiK0detWZWdnq6ysTD4+PqqtrVVMTIwyMzNlsViUlpamJ0+eKCgoyPM7oaGhmjt3rhITEzV9+nTZbLY2SSZ0TaNGjVJjY6NCQkKUmpoqs9msZcuWKTY2Vjdu3FBAQIAkae/evUpJSdGKFSs0evRoZWdn6+3bt5KkoUOHKj8/Xxs2bFBQUJDnWCrASAUFBa2Og7Lb7Tp+/Liqq6sVERGhvLw8FRQUtCkLn5KSolevXundu3c8yPCPqKur05AhQzRixAjNmDFD165dU2lpqc6cOSNfX99fupZOnTpVJ06c0NmzZzVu3DjFxcXp9u3bBvcMnZHPf/738Cl0KTNmzFBoaCglQgEAaGf19fWKjY2V2+3mjEP8MY8fP5bZbJbT6ZTdbjc6HPyjWFOgPTCOYKT4+HgNHjxYhw8fNjoU4Lds375dp0+fbnO0AQAAADoWJd+7KLfbrYaGBtXX12v58uVGhwMAAIDf8PnzZ7169UpbtmzRxIkTSabDEKwp0B4YR+ho79690759+5SQkCBfX19VVVXp8uXLunTpktGhAQAAAOikSKh3UVlZWXI6ncrNzdXs2bONDgcAAAC/oaGhQbGxsbJYLDp58qTR4eAfxZoC7YFxhI72o/RnUVGRPnz4oLCwMJ06dUoOh8Po0AAAAAB0UpR8BwAAAAAAAAAAAADAC5PRAQAAAAAAAAAAAAAA8DcioQ4AAAAAAAAAAAAAgBck1AEAAAAAAAAAAAAA8IKEOgAAAAAAAAAAAAAAXpBQBwAAAAAAAAAAAADACxLqAAAAAAAAAAAAAAB4QUIdAAAAAAAAAAAAAAAvSKgDAAAAAAAAAAAAAOAFCXUAAAAAAAAAAAAAALz4L5gmkw/UiXH6AAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 2500x300 with 1 Axes>"
       ]
@@ -359,10 +359,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:47.884996Z",
-     "iopub.status.busy": "2024-09-13T08:23:47.884658Z",
-     "iopub.status.idle": "2024-09-13T08:23:48.115490Z",
-     "shell.execute_reply": "2024-09-13T08:23:48.114870Z"
+     "iopub.execute_input": "2025-02-02T04:22:46.288861Z",
+     "iopub.status.busy": "2025-02-02T04:22:46.288681Z",
+     "iopub.status.idle": "2025-02-02T04:22:46.489096Z",
+     "shell.execute_reply": "2025-02-02T04:22:46.488383Z"
     },
     "tags": [
      "remove-input"
@@ -371,7 +371,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -407,10 +407,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:48.117797Z",
-     "iopub.status.busy": "2024-09-13T08:23:48.117615Z",
-     "iopub.status.idle": "2024-09-13T08:23:48.390402Z",
-     "shell.execute_reply": "2024-09-13T08:23:48.389785Z"
+     "iopub.execute_input": "2025-02-02T04:22:46.491340Z",
+     "iopub.status.busy": "2025-02-02T04:22:46.491100Z",
+     "iopub.status.idle": "2025-02-02T04:22:46.748088Z",
+     "shell.execute_reply": "2025-02-02T04:22:46.747525Z"
     },
     "tags": [
      "remove-input"
@@ -419,7 +419,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -455,10 +455,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:48.392795Z",
-     "iopub.status.busy": "2024-09-13T08:23:48.392427Z",
-     "iopub.status.idle": "2024-09-13T08:23:48.698174Z",
-     "shell.execute_reply": "2024-09-13T08:23:48.697562Z"
+     "iopub.execute_input": "2025-02-02T04:22:46.749928Z",
+     "iopub.status.busy": "2025-02-02T04:22:46.749738Z",
+     "iopub.status.idle": "2025-02-02T04:22:47.014714Z",
+     "shell.execute_reply": "2025-02-02T04:22:47.014054Z"
     },
     "tags": [
      "remove-input"
@@ -467,7 +467,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -502,10 +502,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:48.700627Z",
-     "iopub.status.busy": "2024-09-13T08:23:48.700253Z",
-     "iopub.status.idle": "2024-09-13T08:23:48.841081Z",
-     "shell.execute_reply": "2024-09-13T08:23:48.840377Z"
+     "iopub.execute_input": "2025-02-02T04:22:47.016611Z",
+     "iopub.status.busy": "2025-02-02T04:22:47.016298Z",
+     "iopub.status.idle": "2025-02-02T04:22:47.153986Z",
+     "shell.execute_reply": "2025-02-02T04:22:47.153368Z"
     },
     "tags": [
      "remove-input"
@@ -514,7 +514,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -547,10 +547,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:48.843562Z",
-     "iopub.status.busy": "2024-09-13T08:23:48.843350Z",
-     "iopub.status.idle": "2024-09-13T08:23:49.075129Z",
-     "shell.execute_reply": "2024-09-13T08:23:49.074536Z"
+     "iopub.execute_input": "2025-02-02T04:22:47.155908Z",
+     "iopub.status.busy": "2025-02-02T04:22:47.155723Z",
+     "iopub.status.idle": "2025-02-02T04:22:47.376619Z",
+     "shell.execute_reply": "2025-02-02T04:22:47.376017Z"
     },
     "tags": [
      "remove-input"
@@ -559,7 +559,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -604,10 +604,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:49.077479Z",
-     "iopub.status.busy": "2024-09-13T08:23:49.077294Z",
-     "iopub.status.idle": "2024-09-13T08:23:49.296553Z",
-     "shell.execute_reply": "2024-09-13T08:23:49.296012Z"
+     "iopub.execute_input": "2025-02-02T04:22:47.378695Z",
+     "iopub.status.busy": "2025-02-02T04:22:47.378346Z",
+     "iopub.status.idle": "2025-02-02T04:22:47.618079Z",
+     "shell.execute_reply": "2025-02-02T04:22:47.617509Z"
     },
     "tags": [
      "remove-input"
@@ -616,7 +616,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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GX331lbZu3fqzY8PCwnTq1CnzkdUqR44cUUFBgaXOphYWFqa9e/dW66/pnp6Lhtw/6XQwHDBggDZv3qxNmzbJ399fPXr0MLdXvXip6uVLFyqwnq2GXr8kXXvttWrRooWWL1+u999/X8ePHz/vbweucvXVV8vhcGj27NkqKSmRJHXs2FHHjh3ToEGDlJCQUK1dfvnl5jhJdQb0qt+rmn739u7dW6/fu6p/Z2e+ybimY0pSu3btNHHiRK1evVrffPONWrVqpccff/xnzwPg14HACgA4a35+fkpLS1NKSooSExNrHTdy5EidPHlSzz33nKX/qaeeks1mM2dK8vPzq+3bq1cvSTI/K1P1Dcf6vkX1b3/7m3x9fXXXXXfpyJEj1bZ/9dVXeuaZZ8w6Jenpp5+2jHnyySclqca3mDaVkSNHavv27ZYgVVJSoueff17h4eHq2rVro5ynIfevyhVXXKHvv/9ey5YtU//+/S0zbHFxcdq7d6/efvtttWrVynyE2VOdzfU3b95cf/zjH/Xee+8pLS1Nvr6++sMf/nChStaDDz6oY8eO6YUXXpB0epby5MmTevTRR6uNraysNP8tDR06VC1atNCcOXNUWlpqGVc1E92nTx+1bt1aS5YssXzq6f3339fu3bvr9W+k6t/7s88+a+k/89/dyZMnVVhYaOlr3bq1QkJCqn1mCsCvF48EAwDOye233/6zYxITE+V0OvXQQw8pNzdXl19+uT744AO9/fbbmjx5sjmzM2vWLH300Ue6+uqrFRYWpqNHj2rx4sVq3769ORPXsWNHBQYGasmSJWrRooV8fX3Vv39/RURE1Hjujh07avny5brpppvUpUsX3XbbberevbvKy8u1ZcsWvfHGG7rjjjsknX6c9fbbb9fzzz+vgoICORwObd++XS+//LKuu+46OZ3OxrlpjWDatGl6/fXXNWLECN17770KCgrSyy+/rG+++UarVq06p8cwf6oh969K1d/V1q1blZKSYtk2YMAA2Ww2bdu2TYmJibXOmL///vvmbPFPxcXFXdD1i2dz/dLpx4JfeeUVrV27VmPGjDH/Q0tN/vOf/8jPz69a/5AhQ9SmTZsG1zxixAh1795dTz75pJKSkuRwODRhwgTNmTNH2dnZGjp0qC6++GLt27dPb7zxhp555hndcMMN8vf311NPPaW77rpLffv21S233KKWLVvq//2//6cffvhBL7/8si6++GLNmzdPY8eOlcPh0M0336wjR47omWeeUXh4uKZMmfKz9fXq1Us333yzFi9erMLCQsXFxSkjI6Pad3GLi4vVvn173XDDDbr88svl5+en9evXa8eOHVq4cGGD7wuAX6imfEUxAOCX5aeftanLmZ+1MYzTn1yZMmWKERISYlx88cVGp06djPnz55ufyzAMw8jIyDD+8Ic/GCEhIcYll1xihISEGDfffLPx5ZdfWo719ttvG127djW8vLzq/YmbL7/80hg/frwRHh5uXHLJJUaLFi2MQYMGGYsWLTJKS0vNcRUVFcYjjzxiREREGBdffLFht9uN6dOnW8bUdo2GYVT7pIhhGMY333xjSDLmz59v9t1+++2Gr69vtf0dDofRrVu3av01ne+rr74ybrjhBiMwMNDw8fEx+vXrZ7zzzjuWMVWfdXnjjTdqrKk+984w6n//DMMwSkpKzL+bDz74oNqxevbsaUgy5s2bV21bXZ+1qU+9tX3W5kJev2EYRmVlpdGuXTtDkvHee+/VeMy6PmujMz6DVJPafgcNwzBeeumlatf3/PPPG7GxsUbz5s2NFi1aGD169DD+9re/GYcOHbLsu2bNGiMuLs5o3ry54e/vb/Tr1894/fXXLWNWrlxp9O7d2/D29jaCgoKMMWPGGN99951lTG2/44ZhGD/++KNx7733Gq1atTJ8fX2NxMRE48CBA5bP2pSVlRlTp041Lr/8cqNFixaGr6+vcfnllxuLFy+u874A+HWxGcY5vMEBAAAAAIDzhDWsAAAAAACPRGAFAAAAAHgkAisAAAAAwCMRWAEAAAAAHonACgAAAADwSARWAAAAAIBH8mrqAvDbcOrUKR06dEgtWrSo9SPxAAAAAH79DMNQcXGxQkJC1KxZ3XOoBFZcEIcOHZLdbm/qMgAAAAB4iAMHDqh9+/Z1jiGw4oJo0aKFpNO/lP7+/k1cDQAAAICmUlRUJLvdbmaEuhBYcUFUPQbs7+9PYAUAAABQr6WCvHQJAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCMRWAEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPJJXUxeA35aArvOkZj5NXUajM/bPbOoSAAAAgF8dZlgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI9EYD0P8vLyNGnSJEVGRsrb21t2u12JiYnKyMjQ6NGjNXz4cMv49PR02Ww2paSkWPpTUlLUoUMHSVJubq5sNluNbdu2bbXW8vnnn+v6669XeHi4bDabnn766Wpj5syZo759+6pFixZq3bq1rrvuOu3du9cy5vnnn1d8fLz8/f1ls9lUUFBwVvcGAAAAAOqLwNrIcnNzFRsbqw0bNmj+/PnatWuX0tPT5XQ6lZSUJKfTqc2bN6uystLcx+VyyW63y+12W47lcrnkdDotfevXr9fhw4ctLTY2ttZ6fvjhB0VGRmru3Llq27ZtjWM+/PBDJSUladu2bVq3bp0qKio0dOhQlZSUWI4zfPhwzZgx4yzuCgAAAAA0nFdTF/BrM3HiRNlsNm3fvl2+vr5mf7du3TRu3DgdPXpUJ06c0M6dOzVgwABJktvt1rRp05ScnKzS0lL5+PiotLRUmZmZGjt2rOX4rVq1qjV41qRv377q27evJGnatGk1jklPT7f8/NJLL6l169b6+OOPNXjwYEnS5MmTzVoBAAAA4EJghrUR5efnKz09XUlJSZawWiUwMFDR0dEKCQmRy+WSJBUXFysrK0ujRo1SeHi4tm7dKknasmWLysrKqs2wXgiFhYWSpKCgoLM+RllZmYqKiiwNAAAAABqCwNqIcnJyZBiGYmJi6hzndDrNmcqNGzcqOjpawcHBGjx4sNnvdrsVERGhsLAwy75xcXHy8/OztMZ06tQpTZ48WYMGDVL37t3P+jhz5sxRQECA2ex2eyNWCQAAAOC3gMDaiAzDqNe4+Ph4bd68WRUVFXK73YqPj5ckORwOS2CtaXZ15cqVys7OtjRJ2r9/vyXEzp49+6yuISkpSZ999plWrFhxVvtXmT59ugoLC8124MCBczoeAAAAgN8e1rA2ok6dOslms2nPnj11jnM6nSopKdGOHTvkcrk0depUSacD67hx45Sfn6/MzExNmDCh2r52u11RUVHV+kNCQszwKp3d47z33HOP3nnnHX300Udq3759g/f/KW9vb3l7e5/TMQAAAAD8tjHD2oiCgoI0bNgwpaamWt6wW6XqUzAdO3aU3W7XmjVrlJ2dLYfDIUkKDQ1VaGioFi5cqPLy8gatX/Xy8lJUVJTZGhJYDcPQPffco7feeksbNmxQREREvfcFAAAAgPOFGdZGlpqaqkGDBqlfv36aNWuWevbsqcrKSq1bt05paWnavXu3pNOzrIsXL1ZUVJTatGlj7u9wOLRo0SLz5UxnOnbsmPLy8ix9gYGB8vHxqbGe8vJyffHFF+afDx48qOzsbPn5+ZkztUlJSVq+fLnefvtttWjRwjx+QECAmjdvLun0t2Xz8vKUk5MjSdq1a5datGihDh06nNPLmQAAAACgNsywNrLIyEhlZWXJ6XQqOTlZ3bt315AhQ5SRkaG0tDRznNPpVHFxsbl+tYrD4VBxcXGts6sJCQlq166dpa1evbrWeg4dOqTevXurd+/eOnz4sBYsWKDevXvrrrvuMsekpaWpsLBQ8fHxluOuXLnSHLNkyRL17t1b48ePlyQNHjxYvXv31po1a87iLgEAAADAz7MZ9X1TEHAOioqKFBAQIIXOkJrVPBv8S2bsn9nUJQAAAAC/CFXZoLCwUP7+/nWOZYYVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAI/FZG1xQhV88+LMLqwEAAABAYoYVAAAAAOChCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeibcE44IK6DpPaubT1GWcN8b+mU1dAgAAAPCrwQwrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKznQV5eniZNmqTIyEh5e3vLbrcrMTFRGRkZGj16tIYPH24Zn56eLpvNppSUFEt/SkqKOnToIEnKzc2VzWarsW3btq3WWj7//HNdf/31Cg8Pl81m09NPP11tzEcffaTExESFhITIZrNp9erV1cYcOXJEd9xxh0JCQnTppZdq+PDh2rdvX4PvDQAAAADUF4G1keXm5io2NlYbNmzQ/PnztWvXLqWnp8vpdCopKUlOp1ObN29WZWWluY/L5ZLdbpfb7bYcy+Vyyel0WvrWr1+vw4cPW1psbGyt9fzwww+KjIzU3Llz1bZt2xrHlJSU6PLLL1dqamqN2w3D0HXXXaevv/5ab7/9tj755BOFhYUpISFBJSUl9bwzAAAAANAwXk1dwK/NxIkTZbPZtH37dvn6+pr93bp107hx43T06FGdOHFCO3fu1IABAyRJbrdb06ZNU3JyskpLS+Xj46PS0lJlZmZq7NixluO3atWq1uBZk759+6pv376SpGnTptU4ZsSIERoxYkStx9i3b5+2bdumzz77TN26dZMkpaWlqW3btnr99dd111131bseAAAAAKgvZlgbUX5+vtLT05WUlGQJq1UCAwMVHR2tkJAQuVwuSVJxcbGysrI0atQohYeHa+vWrZKkLVu2qKysrNoMa1MoKyuTJPn4+Jh9zZo1k7e3tzZt2lTrPkVFRZYGAAAAAA1BYG1EOTk5MgxDMTExdY5zOp3m478bN25UdHS0goODNXjwYLPf7XYrIiJCYWFhln3j4uLk5+dnaedbTEyMOnTooOnTp+v48eMqLy/XvHnz9N133+nw4cM17jNnzhwFBASYzW63n/c6AQAAAPy6EFgbkWEY9RoXHx+vzZs3q6KiQm63W/Hx8ZIkh8NhCaw1za6uXLlS2dnZliZJ+/fvt4TY2bNnN8YlSZIuvvhivfnmm/ryyy8VFBSkSy+9VC6XSyNGjFCzZjX/Ck2fPl2FhYVmO3DgQKPVAwAAAOC3gTWsjahTp06y2Wzas2dPneOcTqdKSkq0Y8cOuVwuTZ06VdLpwDpu3Djl5+crMzNTEyZMqLav3W5XVFRUtf6QkBAzvEpSUFDQuV3MGWJjY5Wdna3CwkKVl5crODhY/fv3V58+fWoc7+3tLW9v70atAQAAAMBvCzOsjSgoKEjDhg1TampqjW/PLSgokCR17NhRdrtda9asUXZ2thwOhyQpNDRUoaGhWrhwocrLyxu0ftXLy0tRUVFma+zAWiUgIEDBwcHat2+fdu7cqT/84Q/n5TwAAAAAwAxrI0tNTdWgQYPUr18/zZo1Sz179lRlZaXWrVuntLQ07d69W9LpWdbFixcrKipKbdq0Mfd3OBxatGiR+XKmMx07dkx5eXmWvsDAQMsLkX6qvLxcX3zxhfnngwcPKjs7W35+fuZM7YkTJ5STk2Pu88033yg7O1tBQUHmd2DfeOMNBQcHq0OHDtq1a5fuu+8+XXfddRo6dOg53C0AAAAAqB0zrI0sMjJSWVlZcjqdSk5OVvfu3TVkyBBlZGQoLS3NHOd0OlVcXGyuX63icDhUXFxc6+xqQkKC2rVrZ2mrV6+utZ5Dhw6pd+/e6t27tw4fPqwFCxaod+/elk/R7Ny50xwjSffff7969+6tv//97+aYw4cP69Zbb1VMTIzuvfde3XrrrXr99dfP4g4BAAAAQP3YjPq+KQg4B0VFRQoICJBCZ0jNap4N/jUw9s9s6hIAAAAAj1aVDQoLC+Xv71/nWGZYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkfgOKy6owi8e/Nk3gQEAAACAxAwrAAAAAMBDEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACAR+KlS7igArrOk5r5NHUZ55Wxf2ZTlwAAAAD8KjDDCgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVjPg7y8PE2aNEmRkZHy9vaW3W5XYmKiMjIyNHr0aA0fPtwyPj09XTabTSkpKZb+lJQUdejQQZKUm5srm81WY9u2bVud9Tz99NPq3LmzmjdvLrvdrilTpqi0tNQy5uDBg/rzn/+sVq1aqXnz5urRo4d27twpSaqoqNCDDz6oHj16yNfXVyEhIbrtttt06NChc7xTAAAAAFA7r6Yu4NcmNzdXgwYNUmBgoObPn68ePXqooqJCa9euVVJSkqZMmaIHHnhAlZWV8vI6fftdLpfsdrvcbrflWC6XS06n09K3fv16devWzdLXqlWrWutZvny5pk2bphdffFFxcXH68ssvdccdd8hms+nJJ5+UJB0/flyDBg2S0+nU+++/r+DgYO3bt08tW7aUJP3www/KysrSzJkzdfnll+v48eO67777dO2115qhFgAAAAAaG4G1kU2cOFE2m03bt2+Xr6+v2d+tWzeNGzdOR48e1YkTJ7Rz504NGDBAkuR2uzVt2jQlJyertLRUPj4+Ki0tVWZmpsaOHWs5fqtWrdS2bdt617NlyxYNGjRIt9xyiyQpPDxcN998szIzM80x8+bNk91u17Jly8y+iIgI888BAQFat26d5bjPPfec+vXrp/3795uzwD9VVlamsrIy8+eioqJ61wwAAAAAEo8EN6r8/Hylp6crKSnJElarBAYGKjo6WiEhIXK5XJKk4uJiZWVladSoUQoPD9fWrVslnQ6aZWVl1WZYGyouLk4ff/yxtm/fLkn6+uuv9d5772nkyJHmmDVr1qhPnz4aNWqUWrdurd69e+uFF16o87iFhYWy2WwKDAyscfucOXMUEBBgNrvdfk7XAQAAAOC3h8DaiHJycmQYhmJiYuoc53Q6zcd/N27cqOjoaAUHB2vw4MFmv9vtVkREhMLCwiz7xsXFyc/Pz9Lqcsstt2jWrFm64oordPHFF6tjx46Kj4/XjBkzzDFff/210tLS1KlTJ61du1Z//etfde+99+rll1+u8ZilpaV68MEHdfPNN8vf37/GMdOnT1dhYaHZDhw4UGedAAAAAHAmAmsjMgyjXuPi4+O1efNmVVRUyO12Kz4+XpLkcDgsgbWm2dWVK1cqOzvb0iRp//79lhA7e/Zs8zizZ8/W4sWLlZWVpTfffFPvvvuuHn30UfOYp06d0u9+9zvNnj1bvXv31t13363x48dryZIl1c5fUVGhG2+8UYZhKC0trdZr9Pb2lr+/v6UBAAAAQEOwhrURderUSTabTXv27KlznNPpVElJiXbs2CGXy6WpU6dKOh1Yx40bp/z8fGVmZmrChAnV9rXb7YqKiqrWHxISYoZXSQoKCpIkzZw5U7feeqvuuusuSVKPHj1UUlKiu+++Ww899JCaNWumdu3aqWvXrpbjdenSRatWrbL0VYXVb7/9Vhs2bCCEAgAAADivmGFtREFBQRo2bJhSU1NVUlJSbXtBQYEkqWPHjrLb7VqzZo2ys7PlcDgkSaGhoQoNDdXChQtVXl7eoPWrXl5eioqKMltVYP3hhx/UrJn1r/miiy6S9H8zwoMGDdLevXstY7788kvL48hVYXXfvn1av359nW8mBgAAAIDGQGBtZKmpqTp58qT69eunVatWad++fdq9e7eeffZZDRw40BzndDq1ePFiRUVFqU2bNma/w+HQokWLzJcznenYsWPKy8uztDO/qfpTiYmJSktL04oVK/TNN99o3bp1mjlzphITE83gOmXKFG3btk2zZ89WTk6Oli9frueff15JSUmSTofVG264QTt37tRrr72mkydPmucuLy9vrFsHAAAAABY8EtzIIiMjlZWVpccff1zJyck6fPiwgoODFRsba1nz6XQ69corr5jrV6s4HA4tW7bM/AzNmRISEqr1vf766xo9enSN4x9++GHZbDY9/PDDOnjwoIKDg5WYmKjHH3/cHNO3b1+99dZbmj59umbNmqWIiAg9/fTTGjNmjCTp4MGDWrNmjSSpV69eluO7XK5q1wAAAAAAjcFm1PdNQcA5KCoqUkBAgBQ6Q2rm09TlnFfG/plNXQIAAADgsaqyQWFh4c++F4dHggEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwSbwnGBVX4xYM/u7AaAAAAACRmWAEAAAAAHorACgAAAADwSARWAAAAAIBHIrACAAAAADwSL13CBRXQdZ7UzKepy7ggjP0zm7oEAAAA4BeNGVYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCMRWAEAAAAAHonAeh7k5eVp0qRJioyMlLe3t+x2uxITE5WRkaHRo0dr+PDhlvHp6emy2WxKSUmx9KekpKhDhw6SpNzcXNlsthrbtm3baq3l888/1/XXX6/w8HDZbDY9/fTT1cYUFxdr8uTJCgsLU/PmzRUXF6cdO3ZYxhiGob///e9q166dmjdvroSEBO3bt+/sbhAAAAAA1AOBtZHl5uYqNjZWGzZs0Pz587Vr1y6lp6fL6XQqKSlJTqdTmzdvVmVlpbmPy+WS3W6X2+22HMvlcsnpdFr61q9fr8OHD1tabGxsrfX88MMPioyM1Ny5c9W2bdsax9x1111at26dXn31Ve3atUtDhw5VQkKCDh48aI554okn9Oyzz2rJkiXKzMyUr6+vhg0bptLS0rO4SwAAAADw82yGYRhNXcSvyciRI/Xpp59q79698vX1tWwrKCjQ0aNH1blzZ23dulUDBgyQJPXv31+33367kpOTdfz4cfn4+Ki0tFSBgYFasmSJ7rjjDuXm5ioiIkKffPKJevXqdVa1hYeHa/LkyZo8ebLZ9+OPP6pFixZ6++23dfXVV5v9sbGxGjFihB577DEZhqGQkBAlJyfrgQcekCQVFhaqTZs2eumllzR69OifPXdRUZECAgKk0BlSM5+zqv+Xxtg/s6lLAAAAADxOVTYoLCyUv79/nWOZYW1E+fn5Sk9PV1JSUrWwKkmBgYGKjo5WSEiIXC6XpNOP42ZlZWnUqFEKDw/X1q1bJUlbtmxRWVlZtRnWxlZZWamTJ0/Kx8caIps3b65NmzZJkr755hvl5eUpISHB3B4QEKD+/fub9Z6prKxMRUVFlgYAAAAADUFgbUQ5OTkyDEMxMTF1jnM6nebjvxs3blR0dLSCg4M1ePBgs9/tdisiIkJhYWGWfePi4uTn52dp56JFixYaOHCgHn30UR06dEgnT57Uv//9b23dulWHDx+WdHpNriS1adPGsm+bNm3MbWeaM2eOAgICzGa328+pTgAAAAC/PQTWRlTfp6vj4+O1efNmVVRUyO12Kz4+XpLkcDgsgbWm2dWVK1cqOzvb0iRp//79lhA7e/bsetf96quvyjAMhYaGytvbW88++6xuvvlmNWt29r8e06dPV2FhodkOHDhw1scCAAAA8Nvk1dQF/Jp06tRJNptNe/bsqXOc0+lUSUmJduzYIZfLpalTp0o6HVjHjRun/Px8ZWZmasKECdX2tdvtioqKqtYfEhJihldJCgoKqnfdHTt21IcffqiSkhIVFRWpXbt2uummmxQZGSlJ5suajhw5onbt2pn7HTlypNb1tN7e3vL29q53DQAAAABwJmZYG1FQUJCGDRum1NRUlZSUVNteUFAg6XRAtNvtWrNmjbKzs+VwOCRJoaGhCg0N1cKFC1VeXt6g9ateXl6KiooyW0MCaxVfX1+1a9dOx48f19q1a/WHP/xBkhQREaG2bdsqIyPDHFtUVKTMzEwNHDiwwecBAAAAgPpghrWRpaamatCgQerXr59mzZqlnj17qrKyUuvWrVNaWpp2794t6fQs6+LFixUVFWVZG+pwOLRo0SLz5UxnOnbsWLV1o4GBgdVemlSlvLxcX3zxhfnngwcPKjs7W35+fuZM7dq1a2UYhjp37qycnBxNnTpVMTExGjt2rCTJZrNp8uTJeuyxx9SpUydFRERo5syZCgkJ0XXXXXfO9wwAAAAAasIMayOLjIxUVlaWnE6nkpOT1b17dw0ZMkQZGRlKS0szxzmdThUXF5vrV6s4HA4VFxfXOruakJCgdu3aWdrq1atrrefQoUPq3bu3evfurcOHD2vBggXq3bu37rrrLnNMYWGhkpKSFBMTo9tuu01XXHGF1q5dq4svvtgc87e//U2TJk3S3Xffrb59++rEiRNKT0+vNSgDAAAAwLniO6y4IPgOKwAAAACJ77ACAAAAAH4FCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAI/FZG1xQhV88+LMLqwEAAABAYoYVAAAAAOChCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeibcE44IK6DpPaubT1GVcUMb+mU1dAgAAAPCLxAwrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKznQV5eniZNmqTIyEh5e3vLbrcrMTFRGRkZGj16tIYPH24Zn56eLpvNppSUFEt/SkqKOnToIEnKzc2VzWarsW3btq1eda1YsUI2m03XXXedpd8wDP39739Xu3bt1Lx5cyUkJGjfvn2WMfn5+RozZoz8/f0VGBioO++8UydOnGjYjQEAAACABiCwNrLc3FzFxsZqw4YNmj9/vnbt2qX09HQ5nU4lJSXJ6XRq8+bNqqysNPdxuVyy2+1yu92WY7lcLjmdTkvf+vXrdfjwYUuLjY2tV10PPPCArrzyymrbnnjiCT377LNasmSJMjMz5evrq2HDhqm0tNQcM2bMGH3++edat26d3nnnHX300Ue6++67G3h3AAAAAKD+vJq6gF+biRMnymazafv27fL19TX7u3XrpnHjxuno0aM6ceKEdu7cqQEDBkiS3G63pk2bpuTkZJWWlsrHx0elpaXKzMzU2LFjLcdv1aqV2rZt26CaTp48qTFjxuiRRx7Rxo0bVVBQYG4zDENPP/20Hn74Yf3hD3+QJL3yyitq06aNVq9erdGjR2v37t1KT0/Xjh071KdPH0nSokWLNHLkSC1YsEAhISFnc6sAAAAAoE7MsDai/Px8paenKykpyRJWqwQGBio6OlohISFyuVySpOLiYmVlZWnUqFEKDw/X1q1bJUlbtmxRWVlZtRnWszFr1iy1bt1ad955Z7Vt33zzjfLy8pSQkGD2BQQEqH///mYtW7duVWBgoBlWJSkhIUHNmjVTZmZmjecsKytTUVGRpQEAAABAQxBYG1FOTo4Mw1BMTEyd45xOp/n478aNGxUdHa3g4GANHjzY7He73YqIiFBYWJhl37i4OPn5+VlaXTZt2qSlS5fqhRdeqHF7Xl6eJKlNmzaW/jZt2pjb8vLy1Lp1a8t2Ly8vBQUFmWPONGfOHAUEBJjNbrfXWScAAAAAnInA2ogMw6jXuPj4eG3evFkVFRVyu92Kj4+XJDkcDktgrWl2deXKlcrOzrY0Sdq/f78lxM6ePVvFxcW69dZb9cILL+iyyy5rjEust+nTp6uwsNBsBw4cuKDnBwAAAPDLxxrWRtSpUyfZbDbt2bOnznFOp1MlJSXasWOHXC6Xpk6dKul0YB03bpzy8/OVmZmpCRMmVNvXbrcrKiqqWn9ISIgZXiUpKChIX331lXJzc5WYmGj2nzp1StLpGdK9e/ea62GPHDmidu3ameOOHDmiXr16SZLatm2ro0ePWs5XWVmp/Pz8WtfTent7y9vbu877AAAAAAB1YYa1EQUFBWnYsGFKTU1VSUlJte1VLzvq2LGj7Ha71qxZo+zsbDkcDklSaGioQkNDtXDhQpWXlzdo/aqXl5eioqLMFhQUpJiYGO3atcsyG3vttdfK6XQqOztbdrtdERERatu2rTIyMsxjFRUVKTMzUwMHDpQkDRw4UAUFBfr444/NMRs2bNCpU6fUv3//s7lVAAAAAPCzmGFtZKmpqRo0aJD69eunWbNmqWfPnqqsrNS6deuUlpam3bt3Szo9y7p48WJFRUVZ1o86HA4tWrTIfDnTmY4dO1Zt3WhgYKB8fHyqjfXx8VH37t2rjZVk6Z88ebIee+wxderUSREREZo5c6ZCQkLM77V26dJFw4cP1/jx47VkyRJVVFTonnvu0ejRo3lDMAAAAIDzhhnWRhYZGamsrCw5nU4lJyere/fuGjJkiDIyMpSWlmaOczqdKi4uNtevVnE4HCouLq51djUhIUHt2rWztNWrV59TzX/72980adIk3X333erbt69OnDih9PR0Swh+7bXXFBMTo6uuukojR47UFVdcoeeff/6czgsAAAAAdbEZ9X1TEHAOioqKFBAQIIXOkJpVnw3+NTP2z2zqEgAAAACPUZUNCgsL5e/vX+dYZlgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8Ep+1wQVV+MWDP7uwGgAAAAAkZlgBAAAAAB6KwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCReEswLqiArvOkZj5NXYZHMPbPbOoSAAAAAI/GDCsAAAAAwCMRWAEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrOdBXl6eJk2apMjISHl7e8tutysxMVEZGRkaPXq0hg8fbhmfnp4um82mlJQUS39KSoo6dOggScrNzZXNZquxbdu2rc56nn76aXXu3FnNmzeX3W7XlClTVFpaahlz8OBB/fnPf1arVq3UvHlz9ejRQzt37rTUEhMTI19fX7Vs2VIJCQnKzMw8h7sEAAAAAHXjO6yNLDc3V4MGDVJgYKDmz5+vHj16qKKiQmvXrlVSUpKmTJmiBx54QJWVlfLyOn37XS6X7Ha73G635Vgul0tOp9PSt379enXr1s3S16pVq1rrWb58uaZNm6YXX3xRcXFx+vLLL3XHHXfIZrPpySeflCQdP35cgwYNktPp1Pvvv6/g4GDt27dPLVu2NI8THR2t5557TpGRkfrxxx/11FNPaejQocrJyVFwcPC53DIAAAAAqBGBtZFNnDhRNptN27dvl6+vr9nfrVs3jRs3TkePHtWJEye0c+dODRgwQJLkdrs1bdo0JScnq7S0VD4+PiotLVVmZqbGjh1rOX6rVq3Utm3betezZcsWDRo0SLfccoskKTw8XDfffLNldnTevHmy2+1atmyZ2RcREWE5TtX+VZ588kktXbpUn376qa666qp61wMAAAAA9cUjwY0oPz9f6enpSkpKsoTVKoGBgYqOjlZISIhcLpckqbi4WFlZWRo1apTCw8O1detWSaeDZllZWbUZ1oaKi4vTxx9/rO3bt0uSvv76a7333nsaOXKkOWbNmjXq06ePRo0apdatW6t379564YUXaj1meXm5nn/+eQUEBOjyyy+vcUxZWZmKioosDQAAAAAagsDaiHJycmQYhmJiYuoc53Q6zcd/N27cqOjoaAUHB2vw4MFmv9vtVkREhMLCwiz7xsXFyc/Pz9Lqcsstt2jWrFm64oordPHFF6tjx46Kj4/XjBkzzDFff/210tLS1KlTJ61du1Z//etfde+99+rll1+2HOudd96Rn5+ffHx89NRTT2ndunW67LLLajzvnDlzFBAQYDa73V5nnQAAAABwJgJrIzIMo17j4uPjtXnzZlVUVMjtdis+Pl6S5HA4LIG1ptnVlStXKjs729Ikaf/+/ZYQO3v2bPM4s2fP1uLFi5WVlaU333xT7777rh599FHzmKdOndLvfvc7zZ49W71799bdd9+t8ePHa8mSJZZzO51OZWdna8uWLRo+fLhuvPFGHT16tMZrnD59ugoLC8124MCBet0bAAAAAKjCGtZG1KlTJ9lsNu3Zs6fOcU6nUyUlJdqxY4dcLpemTp0q6XRgHTdunPLz85WZmakJEyZU29dutysqKqpaf0hIiBleJSkoKEiSNHPmTN1666266667JEk9evRQSUmJ7r77bj300ENq1qyZ2rVrp65du1qO16VLF61atcrS5+vrq6ioKEVFRWnAgAHq1KmTli5dqunTp1erx9vbW97e3nXeBwAAAACoCzOsjSgoKEjDhg1TamqqSkpKqm0vKCiQJHXs2FF2u11r1qxRdna2HA6HJCk0NFShoaFauHChysvLG7R+1cvLywyTUVFRZmD94Ycf1KyZ9a/5oosukvR/M8KDBg3S3r17LWO+/PLLao8jn+nUqVMqKyurd40AAAAA0BAE1kaWmpqqkydPql+/flq1apX27dun3bt369lnn9XAgQPNcU6nU4sXL1ZUVJTatGlj9jscDi1atMh8OdOZjh07pry8PEs785uqP5WYmKi0tDStWLFC33zzjdatW6eZM2cqMTHRDK5TpkzRtm3bNHv2bOXk5Gj58uV6/vnnlZSUJEkqKSnRjBkztG3bNn377bf6+OOPNW7cOB08eFCjRo1qrFsHAAAAABY8EtzIIiMjlZWVpccff1zJyck6fPiwgoODFRsbq7S0NHOc0+nUK6+8Yq5freJwOLRs2bJqn5GpkpCQUK3v9ddf1+jRo2sc//DDD8tms+nhhx/WwYMHFRwcrMTERD3++OPmmL59++qtt97S9OnTNWvWLEVEROjpp5/WmDFjJJ2ekd2zZ49efvll/fe//1WrVq3Ut29fbdy4sdo3YQEAAACgsdiM+r4pCDgHRUVFCggIkEJnSM18mrocj2Dsn9nUJQAAAAAXXFU2KCwslL+/f51jeSQYAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAI/GWYFxQhV88+LMLqwEAAABAYoYVAAAAAOChCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeibcE44IK6DpPaubT1GV4PGP/zKYuAQAAAGhyzLACAAAAADwSgRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwHoe5OXladKkSYqMjJS3t7fsdrsSExOVkZGh0aNHa/jw4Zbx6enpstlsSklJsfSnpKSoQ4cOkqTc3FzZbLYa27Zt22qt5YUXXtCVV16pli1bqmXLlkpISND27dstY06cOKF77rlH7du3V/PmzdW1a1ctWbLE3F7Xud94441zvFsAAAAAUDO+w9rIcnNzNWjQIAUGBmr+/Pnq0aOHKioqtHbtWiUlJWnKlCl64IEHVFlZKS+v07ff5XLJbrfL7XZbjuVyueR0Oi1969evV7du3Sx9rVq1qrUet9utm2++WXFxcfLx8dG8efM0dOhQff755woNDZUk3X///dqwYYP+/e9/Kzw8XB988IEmTpyokJAQXXvttbLb7Tp8+LDluM8//7zmz5+vESNGnO2tAgAAAIA62QzDMJq6iF+TkSNH6tNPP9XevXvl6+tr2VZQUKCjR4+qc+fO2rp1qwYMGCBJ6t+/v26//XYlJyfr+PHj8vHxUWlpqQIDA7VkyRLdcccdys3NVUREhD755BP16tXrrOs7efKkWrZsqeeee0633XabJKl79+666aabNHPmTHNcbGysRowYoccee6zG4/Tu3Vu/+93vtHTp0nqdt6ioSAEBAVLoDKmZz1nX/1th7J/584MAAACAX6CqbFBYWCh/f/86x/JIcCPKz89Xenq6kpKSqoVVSQoMDFR0dLRCQkLkcrkkScXFxcrKytKoUaMUHh6urVu3SpK2bNmisrKyajOs5+qHH35QRUWFgoKCzL64uDitWbNGBw8elGEYcrlc+vLLLzV06NAaj/Hxxx8rOztbd955Z63nKSsrU1FRkaUBAAAAQEMQWBtRTk6ODMNQTExMneOcTqf5+O/GjRsVHR2t4OBgDR482Ox3u92KiIhQWFiYZd+4uDj5+flZWkM8+OCDCgkJUUJCgtm3aNEide3aVe3bt9cll1yi4cOHKzU1VYMHD67xGEuXLlWXLl0UFxdX63nmzJmjgIAAs9nt9gbVCQAAAAAE1kZU36er4+PjtXnzZlVUVMjtdis+Pl6S5HA4LIG1ptnVlStXKjs729Ikaf/+/ZYQO3v27Gr7zp07VytWrNBbb70lH5//eyx30aJF2rZtm9asWaOPP/5YCxcuVFJSktavX1/tGD/++KOWL19e5+yqJE2fPl2FhYVmO3DgQL3uDQAAAABU4aVLjahTp06y2Wzas2dPneOcTqdKSkq0Y8cOuVwuTZ06VdLpwDpu3Djl5+crMzNTEyZMqLav3W5XVFRUtf6QkBAzvEqyPPIrSQsWLNDcuXO1fv169ezZ0+z/8ccfNWPGDL311lu6+uqrJUk9e/ZUdna2FixYYJmJlaT//Oc/+uGHH8z1r7Xx9vaWt7d3nWMAAAAAoC7MsDaioKAgDRs2TKmpqSopKam2vaCgQJLUsWNH2e12rVmzRtnZ2XI4HJKk0NBQhYaGauHChSovL2/Q+lUvLy9FRUWZ7aeB9YknntCjjz6q9PR09enTx7JfRUWFKioq1KyZ9Vfhoosu0qlTp6qdZ+nSpbr22msVHBxc79oAAAAA4Gwww9rIUlNTNWjQIPXr10+zZs1Sz549VVlZqXXr1iktLU27d++WdHqWdfHixYqKilKbNm3M/R0OhxYtWmS+nOlMx44dU15enqUvMDDQ8ojvT82bN09///vftXz5coWHh5v7Vj067O/vL4fDoalTp6p58+YKCwvThx9+qFdeeUVPPvmk5Vg5OTn66KOP9N57753TPQIAAACA+mCGtZFFRkYqKytLTqdTycnJ6t69u4YMGaKMjAylpaWZ45xOp4qLi831q1UcDoeKi4trnV1NSEhQu3btLG316tW11pOWlqby8nLdcMMNln0WLFhgjlmxYoX69u2rMWPGqGvXrpo7d64ef/xx/eUvf7Ec68UXX1T79u1rfXswAAAAADQmvsOKC4LvsDYM32EFAADArxXfYQUAAAAA/OIRWAEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwS32HFBVX4xYM/+yYwAAAAAJCYYQUAAAAAeCgCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIvHQJF1RA13lSM5+mLuMXw9g/s6lLAAAAAJoMM6wAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKB9TzIy8vTpEmTFBkZKW9vb9ntdiUmJiojI0OjR4/W8OHDLePT09Nls9mUkpJi6U9JSVGHDh0kSbm5ubLZbDW2bdu21auuFStWyGaz6brrrqt2npiYGPn6+qply5ZKSEhQZmZmjccoKytTr169ZLPZlJ2dXa/zAgAAAMDZILA2stzcXMXGxmrDhg2aP3++du3apfT0dDmdTiUlJcnpdGrz5s2qrKw093G5XLLb7XK73ZZjuVwuOZ1OS9/69et1+PBhS4uNja1XXQ888ICuvPLKatuio6P13HPPadeuXdq0aZPCw8M1dOhQff/999XG/u1vf1NISEg97wYAAAAAnD2vpi7g12bixImy2Wzavn27fH19zf5u3bpp3LhxOnr0qE6cOKGdO3dqwIABkiS3261p06YpOTlZpaWl8vHxUWlpqTIzMzV27FjL8Vu1aqW2bds2qKaTJ09qzJgxeuSRR7Rx40YVFBRYtt9yyy2Wn5988kktXbpUn376qa666iqz//3339cHH3ygVatW6f33329QDQAAAADQUMywNqL8/Hylp6crKSnJElarBAYGKjo6WiEhIXK5XJKk4uJiZWVladSoUQoPD9fWrVslSVu2bFFZWVm1GdazMWvWLLVu3Vp33nnnz44tLy/X888/r4CAAF1++eVm/5EjRzR+/Hi9+uqruvTSS3/2OGVlZSoqKrI0AAAAAGgIAmsjysnJkWEYiomJqXOc0+k0H//duHGjoqOjFRwcrMGDB5v9brdbERERCgsLs+wbFxcnPz8/S6vLpk2btHTpUr3wwgt1jnvnnXfk5+cnHx8fPfXUU1q3bp0uu+wySZJhGLrjjjv0l7/8RX369KnzOFXmzJmjgIAAs9nt9nrtBwAAAABVCKyNyDCMeo2Lj4/X5s2bVVFRIbfbrfj4eEmSw+GwBNaaZldXrlyp7OxsS5Ok/fv3W0Ls7NmzVVxcrFtvvVUvvPCCGT5r43Q6lZ2drS1btmj48OG68cYbdfToUUnSokWLVFxcrOnTp9fvRkiaPn26CgsLzXbgwIF67wsAAAAAEmtYG1WnTp1ks9m0Z8+eOsc5nU6VlJRox44dcrlcmjp1qqTTgXXcuHHKz89XZmamJkyYUG1fu92uqKioav0hISGWt/YGBQXpq6++Um5urhITE83+U6dOSZK8vLy0d+9edezYUZLk6+urqKgoRUVFacCAAerUqZOWLl2q6dOna8OGDdq6dau8vb0t5+zTp4/GjBmjl19+uVo93t7e1cYDAAAAQEMQWBtRUFCQhg0bptTUVN17773V1rEWFBQoMDBQHTt2lN1u15o1a5SdnS2HwyFJCg0NVWhoqBYuXKjy8vIGrV/18vKqFmQvvfRS7dq1y9L38MMPq7i4WM8880ydj+meOnVKZWVlkqRnn31Wjz32mLnt0KFDGjZsmFauXKn+/fvXu0YAAAAAaAgCayNLTU3VoEGD1K9fP82aNUs9e/ZUZWWl1q1bp7S0NO3evVvS6VnWxYsXKyoqSm3atDH3dzgcWrRokflypjMdO3ZMeXl5lr7AwED5+PhUG+vj46Pu3btXGyvJ7C8pKdHjjz+ua6+9Vu3atdN///tfpaam6uDBgxo1apQkmd+CrVK1brZjx45q3759Q24PAAAAANQba1gbWWRkpLKysuR0OpWcnKzu3btryJAhysjIUFpamjnO6XSquLjYXL9axeFwqLi4uNbZ1YSEBLVr187SVq9efdb1XnTRRdqzZ4+uv/56RUdHKzExUceOHdPGjRvVrVu3sz4uAAAAAJwrm1HfNwUB56CoqEgBAQFS6AypWfXZYNTM2D+zqUsAAAAAGlVVNigsLJS/v3+dY5lhBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8Eh81gYXVOEXD/7swmoAAAAAkJhhBQAAAAB4KAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACAR+ItwbigArrOk5r5NHUZvyjG/plNXQIAAADQJJhhBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoG1ieTl5WnSpEmKjIyUt7e37Ha7EhMTlZGRodGjR2v48OGW8enp6bLZbEpJSbH0p6SkqEOHDpKk3Nxc2Wy2Gtu2bdtqrSU+Pr7Gfa6++mpzTG3HnT9/fuPdFAAAAAD4Cb7D2gRyc3M1aNAgBQYGav78+erRo4cqKiq0du1aJSUlacqUKXrggQdUWVkpL6/Tf0Uul0t2u11ut9tyLJfLJafTaelbv369unXrZulr1apVrfW8+eabKi8vN38+duyYLr/8co0aNcrsO3z4sGWf999/X3feeaeuv/76Bl07AAAAANQXgbUJTJw4UTabTdu3b5evr6/Z361bN40bN05Hjx7ViRMntHPnTg0YMECS5Ha7NW3aNCUnJ6u0tFQ+Pj4qLS1VZmamxo4dazl+q1at1LZt23rXExQUZPl5xYoVuvTSSy2B9czjvf3223I6nYqMjKz3eQAAAACgIXgk+ALLz89Xenq6kpKSLGG1SmBgoKKjoxUSEiKXyyVJKi4uVlZWlkaNGqXw8HBt3bpVkrRlyxaVlZVVm2E9V0uXLtXo0aNrrE+Sjhw5onfffVd33nlnrccoKytTUVGRpQEAAABAQxBYL7CcnBwZhqGYmJg6xzmdTvPx340bNyo6OlrBwcEaPHiw2e92uxUREaGwsDDLvnFxcfLz87O0+tq+fbs+++wz3XXXXbWOefnll9WiRQv96U9/qnXMnDlzFBAQYDa73V7vGgAAAABAIrBecIZh1GtcfHy8Nm/erIqKCrndbsXHx0uSHA6HJbDWNLu6cuVKZWdnW5ok7d+/3xJiZ8+eXW3fpUuXqkePHurXr1+ttb344osaM2aMfHx8ah0zffp0FRYWmu3AgQP1um4AAAAAqMIa1gusU6dOstls2rNnT53jnE6nSkpKtGPHDrlcLk2dOlXS6cA6btw45efnKzMzUxMmTKi2r91uV1RUVLX+kJAQM7xK1deulpSUaMWKFZo1a1atdW3cuFF79+7VypUr66zf29tb3t7edY4BAAAAgLoww3qBBQUFadiwYUpNTVVJSUm17QUFBZKkjh07ym63a82aNcrOzpbD4ZAkhYaGKjQ0VAsXLlR5eXmD1q96eXkpKirKbGcG1jfeeENlZWX685//XOsxli5dqtjYWF1++eX1Pi8AAAAAnA0CaxNITU3VyZMn1a9fP61atUr79u3T7t279eyzz2rgwIHmOKfTqcWLFysqKkpt2rQx+x0OhxYtWmS+nOlMx44dU15enqWVlpb+bF1Lly7VddddV+sncIqKivTGG2/Uub4VAAAAABoLgbUJREZGKisrS06nU8nJyerevbuGDBmijIwMpaWlmeOcTqeKi4vN9atVHA6HiouLa51dTUhIULt27Sxt9erVdda0d+9ebdq0qc43/65YsUKGYejmm2+u97UCAAAAwNmyGfV9CxBwDoqKihQQECCFzpCa1f6yJlRn7J/Z1CUAAAAAjaYqGxQWFsrf37/OscywAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCSvpi4Avy2FXzz4swurAQAAAEBihhUAAAAA4KEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JtwTjggroOk9q5tPUZfwqGPtnNnUJAAAAwHnFDCsAAAAAwCMRWAEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrOdBXl6eJk2apMjISHl7e8tutysxMVEZGRkaPXq0hg8fbhmfnp4um82mlJQUS39KSoo6dOggScrNzZXNZquxbdu2rdZaXnjhBV155ZVq2bKlWrZsqYSEBG3fvt0yxjAM/f3vf1e7du3UvHlzJSQkaN++fZYx+fn5GjNmjPz9/RUYGKg777xTJ06cOIe7BAAAAAB1I7A2stzcXMXGxmrDhg2aP3++du3apfT0dDmdTiUlJcnpdGrz5s2qrKw093G5XLLb7XK73ZZjuVwuOZ1OS9/69et1+PBhS4uNja21HrfbrZtvvlkul0tbt26V3W7X0KFDdfDgQXPME088oWeffVZLlixRZmamfH19NWzYMJWWlppjxowZo88//1zr1q3TO++8o48++kh33333Od4tAAAAAKidzTAMo6mL+DUZOXKkPv30U+3du1e+vr6WbQUFBTp69Kg6d+6srVu3asCAAZKk/v376/bbb1dycrKOHz8uHx8flZaWKjAwUEuWLNEdd9yh3NxcRURE6JNPPlGvXr3Our6TJ0+qZcuWeu6553TbbbfJMAyFhIQoOTlZDzzwgCSpsLBQbdq00UsvvaTRo0dr9+7d6tq1q3bs2KE+ffpIOj0rPHLkSH333XcKCQn52fMWFRUpICBACp0hNfM56/rxf4z9M5u6BAAAAKDBqrJBYWGh/P396xzLDGsjys/PV3p6upKSkqqFVUkKDAxUdHS0QkJC5HK5JEnFxcXKysrSqFGjFB4erq1bt0qStmzZorKysmozrOfqhx9+UEVFhYKCgiRJ33zzjfLy8pSQkGCOCQgIUP/+/c1atm7dqsDAQDOsSlJCQoKaNWumzMzMGs9TVlamoqIiSwMAAACAhiCwNqKcnBwZhqGYmJg6xzmdTvPx340bNyo6OlrBwcEaPHiw2e92uxUREaGwsDDLvnFxcfLz87O0hnjwwQcVEhJiBtS8vDxJUps2bSzj2rRpY27Ly8tT69atLdu9vLwUFBRkjjnTnDlzFBAQYDa73d6gOgEAAACAwNqI6vt0dXx8vDZv3qyKigq53W7Fx8dLkhwOhyWw1jS7unLlSmVnZ1uaJO3fv98SYmfPnl1t37lz52rFihV666235ONzfh/LnT59ugoLC8124MCB83o+AAAAAL8+Xk1dwK9Jp06dZLPZtGfPnjrHOZ1OlZSUaMeOHXK5XJo6daqk04F13Lhxys/PV2ZmpiZMmFBtX7vdrqioqGr9ISEhZniVZD7yW2XBggWaO3eu1q9fr549e5r9bdu2lSQdOXJE7dq1M/uPHDlirpVt27atjh49ajleZWWl8vPzzf3P5O3tLW9v7zruAgAAAADUjRnWRhQUFKRhw4YpNTVVJSUl1bYXFBRIkjp27Ci73a41a9YoOztbDodDkhQaGqrQ0FAtXLhQ5eXlDVq/6uXlpaioKLP9NLA+8cQTevTRR5Wenm5ZhypJERERatu2rTIyMsy+oqIiZWZmauDAgZKkgQMHqqCgQB9//LE5ZsOGDTp16pT69+9f7xoBAAAAoCEIrI0sNTVVJ0+eVL9+/bRq1Srt27dPu3fv1rPPPmsGQOn0LOvixYsVFRVlWT/qcDi0aNEi8+VMZzp27Jjy8vIs7aefnznTvHnzNHPmTL344osKDw8396n6hqrNZtPkyZP12GOPac2aNdq1a5duu+02hYSE6LrrrpMkdenSRcOHD9f48eO1fft2bd68Wffcc49Gjx5drzcEAwAAAMDZILA2ssjISGVlZcnpdCo5OVndu3fXkCFDlJGRobS0NHOc0+lUcXGxuX61isPhUHFxca2zqwkJCWrXrp2lrV69utZ60tLSVF5erhtuuMGyz4IFC8wxf/vb3zRp0iTdfffd6tu3r06cOKH09HTLOtfXXntNMTExuuqqqzRy5EhdccUVev7558/uJgEAAABAPfAdVlwQfIe18fEdVgAAAPwS8R1WAAAAAMAvHoEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCSvpi4Avy2FXzz4swurAQAAAEBihhUAAAAA4KEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JtwTjggroOk9q5tPUZfzqGPtnNnUJAAAAQKNjhhUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgE1vMgLy9PkyZNUmRkpLy9vWW325WYmKiMjAyNHj1aw4cPt4xPT0+XzWZTSkqKpT8lJUUdOnSQJOXm5spms9XYtm3bVmstL7zwgq688kq1bNlSLVu2VEJCgrZv315t3O7du3XttdcqICBAvr6+6tu3r/bv329u/+qrr/THP/5RwcHB8vf314033qgjR46cw10CAAAAgLoRWBtZbm6uYmNjtWHDBs2fP1+7du1Senq6nE6nkpKS5HQ6tXnzZlVWVpr7uFwu2e12ud1uy7FcLpecTqelb/369Tp8+LClxcbG1lqP2+3WzTffLJfLpa1bt8put2vo0KE6ePCgOearr77SFVdcoZiYGLndbn366aeaOXOmfHxOfy+1pKREQ4cOlc1m04YNG7R582aVl5crMTFRp06daoS7BgAAAADV2QzDMJq6iF+TkSNH6tNPP9XevXvl6+tr2VZQUKCjR4+qc+fO2rp1qwYMGCBJ6t+/v26//XYlJyfr+PHj8vHxUWlpqQIDA7VkyRLdcccdys3NVUREhD755BP16tXrrOs7efKkWrZsqeeee0633XabJGn06NG6+OKL9eqrr9a4zwcffKARI0bo+PHj8vf3lyQVFhaqZcuW+uCDD5SQkPCz5y0qKlJAQIAUOkNq5nPW9aNmxv6ZTV0CAAAAUC9V2aCwsNDMF7VhhrUR5efnKz09XUlJSdXCqiQFBgYqOjpaISEhcrlckqTi4mJlZWVp1KhRCg8P19atWyVJW7ZsUVlZWbUZ1nP1ww8/qKKiQkFBQZKkU6dO6d1331V0dLSGDRum1q1bq3///lq9erW5T1lZmWw2m7y9vc0+Hx8fNWvWTJs2barxPGVlZSoqKrI0AAAAAGgIAmsjysnJkWEYiomJqXOc0+k0H//duHGjoqOjFRwcrMGDB5v9brdbERERCgsLs+wbFxcnPz8/S2uIBx98UCEhIeas6NGjR3XixAnNnTtXw4cP1wcffKA//vGP+tOf/qQPP/xQkjRgwAD5+vrqwQcf1A8//KCSkhI98MADOnnypA4fPlzjeebMmaOAgACz2e32BtUJAAAAAATWRlTfp6vj4+O1efNmVVRUyO12Kz4+XpLkcDgsgbWm2dWVK1cqOzvb0iRp//79lhA7e/bsavvOnTtXK1as0FtvvWWuT61ag/qHP/xBU6ZMUa9evTRt2jRdc801WrJkiSQpODhYb7zxhv73f/9Xfn5+CggIUEFBgX73u9+pWbOaf4WmT5+uwsJCsx04cKBe9wYAAAAAqng1dQG/Jp06dZLNZtOePXvqHOd0OlVSUqIdO3bI5XJp6tSpkk4H1nHjxik/P1+ZmZmaMGFCtX3tdruioqKq9YeEhJjhVZL5yG+VBQsWaO7cuVq/fr169uxp9l922WXy8vJS165dLeO7dOliedx36NCh+uqrr/Tf//5XXl5eCgwMVNu2bRUZGVnjNXp7e1seIQYAAACAhmKGtREFBQVp2LBhSk1NVUlJSbXtBQUFkqSOHTvKbrdrzZo1ys7OlsPhkCSFhoYqNDRUCxcuVHl5eYPWr3p5eSkqKspsPw2sTzzxhB599FGlp6erT58+lv0uueQS9e3bV3v37rX0f/nll9UeR5ZOB9zAwEBt2LBBR48e1bXXXlvvGgEAAACgIZhhbWSpqakaNGiQ+vXrp1mzZqlnz56qrKzUunXrlJaWpt27d0s6Pcu6ePFiRUVFqU2bNub+DodDixYtMl/OdKZjx44pLy/P0hcYGGg+4numefPm6e9//7uWL1+u8PBwc9+frn+dOnWqbrrpJg0ePFhOp1Pp6en63//9X8tndpYtW6YuXbooODhYW7du1X333acpU6aoc+fO53S/AAAAAKA2zLA2ssjISGVlZcnpdCo5OVndu3fXkCFDlJGRobS0NHOc0+lUcXGxuX61isPhUHFxca2zqwkJCWrXrp2l/fSNvmdKS0tTeXm5brjhBss+CxYsMMf88Y9/1JIlS/TEE0+oR48e+te//qVVq1bpiiuuMMfs3btX1113nbp06aJZs2bpoYceshwDAAAAABob32HFBcF3WM8vvsMKAACAXwq+wwoAAAAA+MUjsAIAAAAAPBKBFQAAAADgkQisAAAAAACPRGAFAAAAAHgkvsOKC6rwiwd/9k1gAAAAACAxwwoAAAAA8FAEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCReOkSLqiArvOkZj5NXcZvnrF/ZlOXAAAAAPwsZlgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQC63mQl5enSZMmKTIyUt7e3rLb7UpMTFRGRoZGjx6t4cOHW8anp6fLZrMpJSXF0p+SkqIOHTpIknJzc2Wz2Wps27Ztq1ddK1askM1m03XXXWfpr+248+fPt4x799131b9/fzVv3lwtW7asdhwAAAAAaExeTV3Ar01ubq4GDRqkwMBAzZ8/Xz169FBFRYXWrl2rpKQkTZkyRQ888IAqKyvl5XX69rtcLtntdrndbsuxXC6XnE6npW/9+vXq1q2bpa9Vq1b1quuBBx7QlVdeWW3b4cOHLT+///77uvPOO3X99debfatWrdL48eM1e/Zs/f73v1dlZaU+++yznz0vAAAAAJwtAmsjmzhxomw2m7Zv3y5fX1+zv1u3bho3bpyOHj2qEydOaOfOnRowYIAkye12a9q0aUpOTlZpaal8fHxUWlqqzMxMjR071nL8Vq1aqW3btg2q6eTJkxozZoweeeQRbdy4UQUFBZbtZx7v7bffltPpVGRkpCSpsrJS9913n+bPn68777zTHNe1a9daz1lWVqaysjLz56KiogbVDAAAAAA8EtyI8vPzlZ6erqSkJEtYrRIYGKjo6GiFhITI5XJJkoqLi5WVlaVRo0YpPDxcW7dulSRt2bJFZWVl1WZYz8asWbPUunVrS9iszZEjR/Tuu+9axmZlZengwYNq1qyZevfurXbt2mnEiBF1zrDOmTNHAQEBZrPb7ed8HQAAAAB+WwisjSgnJ0eGYSgmJqbOcU6n03z8d+PGjYqOjlZwcLAGDx5s9rvdbkVERCgsLMyyb1xcnPz8/CytLps2bdLSpUv1wgsv1OsaXn75ZbVo0UJ/+tOfzL6vv/5a0uk1tQ8//LDeeecdtWzZUvHx8crPz6/xONOnT1dhYaHZDhw4UK/zAwAAAEAVAmsjMgyjXuPi4+O1efNmVVRUyO12Kz4+XpLkcDgsgbWm2dWVK1cqOzvb0iRp//79lhA7e/ZsFRcX69Zbb9ULL7ygyy67rF61vfjiixozZox8fHzMvlOnTkmSHnroIV1//fWKjY3VsmXLZLPZ9MYbb9R4HG9vb/n7+1saAAAAADQEa1gbUadOnWSz2bRnz546xzmdTpWUlGjHjh1yuVyaOnWqpNOBddy4ccrPz1dmZqYmTJhQbV+73a6oqKhq/SEhIWZ4laSgoCB99dVXys3NVWJiotlfFT69vLy0d+9edezY0dy2ceNG7d27VytXrrQcu127dpKsa1a9vb0VGRmp/fv313mtAAAAAHC2CKyNKCgoSMOGDVNqaqruvffeautYCwoKFBgYqI4dO8put2vNmjXKzs6Ww+GQJIWGhio0NFQLFy5UeXl5g9avenl5VQuyl156qXbt2mXpe/jhh1VcXKxnnnmm2rrSpUuXKjY2VpdffrmlPzY2Vt7e3tq7d6+uuOIKSVJFRYVyc3OrPbIMAAAAAI2FwNrIUlNTNWjQIPXr10+zZs1Sz549VVlZqXXr1iktLU27d++WdHqWdfHixYqKilKbNm3M/R0OhxYtWmS+nOlMx44dU15enqUvMDDQ8ghvFR8fH3Xv3r3aWEnV+ouKivTGG29o4cKF1Y7j7++vv/zlL/rHP/4hu92usLAw8xuto0aNqsddAQAAAICGYw1rI4uMjFRWVpacTqeSk5PVvXt3DRkyRBkZGUpLSzPHOZ1OFRcXm+tXqzgcDhUXF9c6u5qQkKB27dpZ2urVq8+57hUrVsgwDN188801bp8/f75Gjx6tW2+9VX379tW3336rDRs2qGXLlud8bgAAAACoic2o75uCgHNQVFSkgIAAKXSG1Kz6bDAuLGP/zKYuAQAAAL9RVdmgsLDwZ1/OygwrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACAR+KzNrigCr948GcXVgMAAACAxAwrAAAAAMBDEVgBAAAAAB6pQYF1+/btOnnyZK3by8rK9D//8z/nXBQAAAAAAA0KrAMHDtSxY8fMn/39/fX111+bPxcUFOjmm29uvOoAAAAAAL9ZDXrpkmEYdf5cWx9QJaDrPKmZT1OXgXNg7J/Z1CUAAADgN6LR17DabLbGPiQAAAAA4DeIly4BAAAAADxSg7/D+sUXXygvL0/S6cd/9+zZoxMnTkiS/vvf/zZudQAAAACA36wGB9arrrrKsk71mmuukXT6UWDDMHgkGAAAAADQKBoUWL/55pvzVQcAAAAAABYNCqxhYWHnqw4AAAAAACwa9NKlsLAwjR07Vq+88ooOHDhwvmoCAAAAAKBhgXXs2LH65ptvNGHCBIWHhysqKkrjx4/X66+/br6ICVJeXp4mTZqkyMhIeXt7y263KzExURkZGRo9erSGDx9uGZ+eni6bzaaUlBRLf0pKijp06CBJys3Nlc1mq7Ft27at1lo+//xzXX/99QoPD5fNZtPTTz9dbcycOXPUt29ftWjRQq1bt9Z1112nvXv3WsaUlpYqKSlJrVq1kp+fn66//nodOXLk7G4QAAAAANRDgwJrSkqK3G63CgoKtG7dOo0ZM0Zffvmlxo4dq9DQUHXp0kVJSUnnq9ZfhNzcXMXGxmrDhg2aP3++du3apfT0dDmdTiUlJcnpdGrz5s2qrKw093G5XLLb7XK73ZZjuVwuOZ1OS9/69et1+PBhS4uNja21nh9++EGRkZGaO3eu2rZtW+OYDz/8UElJSdq2bZvWrVuniooKDR06VCUlJeaYKVOm6H//93/1xhtv6MMPP9ShQ4f0pz/96SzuEAAAAADUj8346St/z9Lx48e1cOFCLVq0SCdOnNDJkycbo7ZfpJEjR+rTTz/V3r175evra9lWUFCgo0ePqnPnztq6dasGDBggSerfv79uv/12JScn6/jx4/Lx8VFpaakCAwO1ZMkS3XHHHcrNzVVERIQ++eQT9erV66xqCw8P1+TJkzV58uQ6x33//fdq3bq1PvzwQw0ePFiFhYUKDg7W8uXLdcMNN0iS9uzZoy5duliuoy5FRUUKCAiQQmdIzXzOqn54BmP/zKYuAQAAAL9gVdmgsLBQ/v7+dY5t0AxrlfLycn344Yd65JFH5HQ6FRoaqpUrV+qGG27QsmXLzqroX4P8/Hylp6crKSmpWliVpMDAQEVHRyskJEQul0uSVFxcrKysLI0aNUrh4eHaunWrJGnLli0qKyurNsN6IRQWFkqSgoKCJEkff/yxKioqlJCQYI6JiYlRhw4dzHrPVFZWpqKiIksDAAAAgIZoUGCdNWuWfv/736tly5b661//qsOHD+vuu+9WTk6O9u3bp6VLl+q22247X7V6vJycHBmGoZiYmDrHOZ1O8/HfjRs3Kjo6WsHBwRo8eLDZ73a7FRERUe3NzHFxcfLz87O0xnTq1ClNnjxZgwYNUvfu3SWdXpN7ySWXKDAw0DK2TZs2ta5dnjNnjgICAsxmt9sbtU4AAAAAv34N+qxN1UuAFi5cqFGjRqlVq1bnq65fpPo+XR0fH6/JkyeroqJCbrdb8fHxkiSHw6F//vOfkk4H1ppmV1euXKkuXbpU69+/f7+6du1q/jxjxgzNmDGjwdeQlJSkzz77TJs2bWrwvj81ffp03X///ebPRUVFhFYAAAAADdKgwPr+++/L5XLppZde0n333afo6GjFx8fL4XDI4XAoODj4fNX5i9CpUyfZbDbt2bOnznFOp1MlJSXasWOHXC6Xpk6dKul0YB03bpzy8/OVmZmpCRMmVNvXbrcrKiqqWn9ISIiys7PNn6se522Ie+65R++8844++ugjtW/f3uxv27atysvLVVBQYJllPXLkSK0vcvL29pa3t3eDawAAAACAKg16JHjYsGGaO3eutm3bpv/+97+aN2+eLr30Uj3xxBNq3769unXrpnvuued81erxgoKCNGzYMKWmplresFuloKBAktSxY0fZ7XatWbNG2dnZcjgckqTQ0FCFhoZq4cKFKi8vb9D6VS8vL0VFRZmtIYHVMAzdc889euutt7RhwwZFRERYtsfGxuriiy9WRkaG2bd3717t379fAwcOrPd5AAAAAKAhGjTD+lMtWrTQyJEjNWzYMG3fvl1r1qzR4sWLlZaWpueee64xa/xFSU1N1aBBg9SvXz/NmjVLPXv2VGVlpdatW6e0tDTt3r1b0ulZ1sWLFysqKkpt2rQx93c4HFq0aJH5cqYzHTt2rNq60cDAQPn41Pzm3fLycn3xxRfmnw8ePKjs7Gz5+fmZM7VJSUlavny53n77bbVo0cI8fkBAgJo3b66AgADdeeeduv/++xUUFCR/f39NmjRJAwcOrNcbggEAAADgbDQ4sJ46dUo7d+6Uy+WS2+3W5s2bVVJSovbt2+uPf/xjk7zV1pNERkYqKytLjz/+uJKTk3X48GEFBwcrNjZWaWlp5jin06lXXnnFXL9axeFwaNmyZbrllltqPP5P39Rb5fXXX9fo0aNrHH/o0CH17t3b/HnBggVasGCBHA6H+YKnqrrOrGXZsmW64447JElPPfWUmjVrpuuvv15lZWUaNmyYFi9eXNetAAAAAIBz0qDvsI4YMUJbtmxRcXGxQkJC5HQ6FR8fL6fTqcjIyPNZJ37h+A7rrwffYQUAAMC5aMh3WBs0wxoYGKgFCxYoPj5enTp1OqciAQAAAACoS4NeujR+/Hg99dRTljWXVQoLC9WtWzdt3Lix0YoDAAAAAPx2NSiwPvPMM7r77rtrnLYNCAjQhAkT9OSTTzZacQAAAACA364GBdZPPvlEw4YNq3X70KFD9fHHH59zUQAAAAAANGgN69GjR3XxxRfXfjAvL33//ffnXBR+vQq/ePBnF1YDAAAAgNTAGdbQ0FB99tlntW7/9NNP1a5du3MuCgAAAACABgXWkSNHaubMmSotLa227ccff9Q//vEPXXPNNY1WHAAAAADgt6tB32E9cuSIfve73+miiy7SPffco86dO0uS9uzZo9TUVJ08eVJZWVk1vkUYv20N+dYSAAAAgF+v8/Yd1jZt2mjLli3661//qunTp6sq69psNg0bNkypqamEVQAAAABAo2hQYJWksLAwvffeezp+/LhycnJkGIY6deqkli1bno/6AAAAAAC/UQ0OrFVatmypvn37NmYt+A0I6DpPaubT1GWgERj7ZzZ1CQAAAPiVa9BLlwAAAAAAuFAIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgE1vMgLy9PkyZNUmRkpLy9vWW325WYmKiMjAyNHj1aw4cPt4xPT0+XzWZTSkqKpT8lJUUdOnSQJOXm5spms9XYtm3bVmstb775pvr06aPAwED5+vqqV69eevXVVy1j7rjjjmrH/GmNubm5uvPOOxUREaHmzZurY8eO+sc//qHy8vJzvFMAAAAAULuz/g4rapabm6tBgwYpMDBQ8+fPV48ePVRRUaG1a9cqKSlJU6ZM0QMPPKDKykp5eZ2+/S6XS3a7XW6323Isl8slp9Np6Vu/fr26detm6WvVqlWt9QQFBemhhx5STEyMLrnkEr3zzjsaO3asWrdurWHDhpnjhg8frmXLlpk/e3t7m3/es2ePTp06pX/+85+KiorSZ599pvHjx6ukpEQLFixo8D0CAAAAgPogsDayiRMnymazafv27fL19TX7u3XrpnHjxuno0aM6ceKEdu7cqQEDBkiS3G63pk2bpuTkZJWWlsrHx0elpaXKzMzU2LFjLcdv1aqV2rZtW+964uPjLT/fd999evnll7Vp0yZLYPX29q71uMOHD7fMuEZGRmrv3r1KS0sjsAIAAAA4b3gkuBHl5+crPT1dSUlJlrBaJTAwUNHR0QoJCZHL5ZIkFRcXKysrS6NGjVJ4eLi2bt0qSdqyZYvKysqqzbCeC8MwlJGRob1792rw4MGWbW63W61bt1bnzp3117/+VceOHavzWIWFhQoKCqp1e1lZmYqKiiwNAAAAABqCwNqIcnJyZBiGYmJi6hzndDrNx383btyo6OhoBQcHa/DgwWa/2+1WRESEwsLCLPvGxcXJz8/P0n5OYWGh/Pz8dMkll+jqq6/WokWLNGTIEHP78OHD9corrygjI0Pz5s3Thx9+qBEjRujkyZO1XueiRYs0YcKEWs85Z84cBQQEmM1ut/9snQAAAADwUzwS3IgMw6jXuPj4eE2ePFkVFRVyu93mY7sOh0P//Oc/JZ0OrDXNrq5cuVJdunSp1r9//3517drV/HnGjBmaMWOGJKlFixbKzs7WiRMnlJGRofvvv1+RkZHmeUePHm3u16NHD/Xs2VMdO3aU2+3WVVddZTnPwYMHNXz4cI0aNUrjx4+v9RqnT5+u+++/3/y5qKiI0AoAAACgQQisjahTp06y2Wzas2dPneOcTqdKSkq0Y8cOuVwuTZ06VdLpwDpu3Djl5+crMzOzxhlMu92uqKioav0hISHKzs42f/7p47rNmjUz9+nVq5d2796tOXPmVFvfWiUyMlKXXXaZcnJyLIH10KFDcjqdiouL0/PPP1/nNXp7e1te3AQAAAAADcUjwY0oKChIw4YNU2pqqkpKSqptLygokCR17NhRdrtda9asUXZ2thwOhyQpNDRUoaGhWrhwocrLyxu0ftXLy0tRUVFmq2t96alTp1RWVlbr9u+++07Hjh1Tu3btzL6DBw8qPj5esbGxWrZsmZo141cHAAAAwPnFDGsjS01N1aBBg9SvXz/NmjVLPXv2VGVlpdatW6e0tDTt3r1b0ulZ1sWLFysqKkpt2rQx93c4HFq0aJH5cqYzHTt2THl5eZa+wMBA+fj41FjPnDlz1KdPH3Xs2FFlZWV677339OqrryotLU2SdOLECT3yyCO6/vrr1bZtW3311Vf629/+pqioKPMtwlVhNSwsTAsWLND3339vHr8hbywGAAAAgIYgsDayyMhIZWVl6fHHH1dycrIOHz6s4OBgxcbGmiFROh1YX3nllWqP5TocDi1btky33HJLjcdPSEio1vf6669b1qH+VElJiSZOnKjvvvtOzZs3V0xMjP7973/rpptukiRddNFF+vTTT/Xyyy+roKBAISEhGjp0qB599FHzkd5169YpJydHOTk5at++veX49V23CwAAAAANZTNIHLgAioqKFBAQIIXOkJrVPBuMXxZj/8ymLgEAAAC/QFXZoLCwUP7+/nWOZSEiAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACAR+ItwbigCr948GcXVgMAAACAxAwrAAAAAMBDEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8Em8JxgUV0HWe1MynqctAIzP2z2zqEgAAAPArxAwrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKxNJC8vT5MmTVJkZKS8vb1lt9uVmJiojIwMjR49WsOHD7eMT09Pl81mU0pKiqU/JSVFHTp0kCTl5ubKZrPV2LZt21ZrLfHx8TXuc/XVV5tjTpw4oXvuuUft27dX8+bN1bVrVy1ZsqTxbggAAAAAnIHvsDaB3NxcDRo0SIGBgZo/f7569OihiooKrV27VklJSZoyZYoeeOABVVZWysvr9F+Ry+WS3W6X2+22HMvlcsnpdFr61q9fr27duln6WrVqVWs9b775psrLy82fjx07pssvv1yjRo0y++6//35t2LBB//73vxUeHq4PPvhAEydOVEhIiK699tqzvRUAAAAAUCsCaxOYOHGibDabtm/fLl9fX7O/W7duGjdunI4ePaoTJ05o586dGjBggCTJ7XZr2rRpSk5OVmlpqXx8fFRaWqrMzEyNHTvWcvxWrVqpbdu29a4nKCjI8vOKFSt06aWXWgLrli1bdPvttys+Pl6SdPfdd+uf//yntm/fTmAFAAAAcF7wSPAFlp+fr/T0dCUlJVnCapXAwEBFR0crJCRELpdLklRcXKysrCyNGjVK4eHh2rp1q6TTIbKsrKzaDOu5Wrp0qUaPHm2pLy4uTmvWrNHBgwdlGIZcLpe+/PJLDR06tMZjlJWVqaioyNIAAAAAoCEIrBdYTk6ODMNQTExMneOcTqf5+O/GjRsVHR2t4OBgDR482Ox3u92KiIhQWFiYZd+4uDj5+flZWn1t375dn332me666y5L/6JFi9S1a1e1b99el1xyiYYPH67U1FQNHjy4xuPMmTNHAQEBZrPb7fWuAQAAAAAkAusFZxhGvcbFx8dr8+bNqqiokNvtNh/FdTgclsBa0+zqypUrlZ2dbWmStH//fkuInT17drV9ly5dqh49eqhfv36W/kWLFmnbtm1as2aNPv74Yy1cuFBJSUlav359jfVPnz5dhYWFZjtw4EC9rhsAAAAAqrCG9QLr1KmTbDab9uzZU+c4p9OpkpIS7dixQy6XS1OnTpV0OrCOGzdO+fn5yszM1IQJE6rta7fbFRUVVa0/JCTEDK9S9bWrJSUlWrFihWbNmmXp//HHHzVjxgy99dZb5puDe/bsqezsbC1YsEAJCQnVzuXt7S1vb+86rxEAAAAA6sIM6wUWFBSkYcOGKTU1VSUlJdW2FxQUSJI6duwou92uNWvWKDs7Ww6HQ5IUGhqq0NBQLVy4UOXl5Q1av+rl5aWoqCiznRlY33jjDZWVlenPf/6zpb+iokIVFRVq1sz663LRRRfp1KlT9T4/AAAAADQEgbUJpKam6uTJk+rXr59WrVqlffv2affu3Xr22Wc1cOBAc5zT6dTixYsVFRWlNm3amP0Oh0OLFi0yX850pmPHjikvL8/SSktLf7aupUuX6rrrrqv2CRx/f385HA5NnTpVbrdb33zzjV566SW98sor+uMf/3gOdwIAAAAAakdgbQKRkZHKysqS0+lUcnKyunfvriFDhigjI0NpaWnmOKfTqeLiYnP9ahWHw6Hi4uJaZ1cTEhLUrl07S1u9enWdNe3du1ebNm3SnXfeWeP2FStWqG/fvhozZoy6du2quXPn6vHHH9df/vKXBl07AAAAANSXzajvW4CAc1BUVKSAgAApdIbUzKepy0EjM/bPbOoSAAAA8AtRlQ0KCwvl7+9f51hmWAEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADySV1MXgN+Wwi8e/NmF1QAAAAAgMcMKAAAAAPBQBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisAAAAAACPxFuCcUEFdJ0nNfNp6jJwHhn7ZzZ1CQAAAPiVYIYVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBNbfkJdeekmBgYFNXQYAAAAA1ItHBdY77rhDNptNc+fOtfSvXr1aNptNq1at0kUXXaSDBw/WuH+nTp10//33S5Li4+Nls9lks9nk7e2t0NBQJSYm6s0336x3PatWrVJ8fLwCAgLk5+ennj17atasWcrPz9eePXtks9m0bds2yz4DBgyQj4+PSktLzb7S0lL5+Pho6dKllus8sw0fPvxnazpw4IDGjRunkJAQXXLJJQoLC9N9992nY8eOWcaFh4fr6aefrve1AgAAAICn8ajAKkk+Pj6aN2+ejh8/Xm3btddeq1atWunll1+utu2jjz5STk6O7rzzTrNv/PjxOnz4sL766iutWrVKXbt21ejRo3X33Xf/bB0PPfSQbrrpJvXt21fvv/++PvvsMy1cuFD/7//9P7366quKiYlR27Zt5Xa7zX2Ki4uVlZWl4OBgS5DdunWrysrK9Pvf/97sGz58uA4fPmxpr7/+ep01ff311+rTp4/27dun119/XTk5OVqyZIkyMjI0cOBA5efn/+x1nQ8VFRVNcl4AAAAAv24eF1gTEhLUtm1bzZkzp9q2iy++WLfeeqteeumlattefPFF9e/fX926dTP7Lr30UrVt21bt27fXgAEDNG/ePP3zn//UCy+8oPXr19daw/bt2zV79mwtXLhQ8+fPV1xcnMLDwzVkyBCtWrVKt99+uyTJ6XRaAuumTZsUHR2txMRES7/b7VZYWJgiIiLMPm9vb7Vt29bSWrZsWee9SUpK0iWXXKIPPvhADodDHTp00IgRI7R+/XodPHhQDz30kKTTs8vffvutpkyZYs7e/tTatWvVpUsX+fn5mcH5p/71r3+pS5cu8vHxUUxMjBYvXmxuy83Nlc1m08qVK+VwOOTj46PXXnutWq1lZWUqKiqyNAAAAABoCI8LrBdddJFmz56tRYsW6bvvvqu2/c4779S+ffv00UcfmX0nTpzQf/7zH8vsam1uv/12tWzZss5Hg1977TX5+flp4sSJNW7//+3de1hVZf7//9dWFEQExBMHtxwENBUPmWdjsycUq6+TWZZmB8NOI1kZOoqTZTZ5yGwqQ2oczWqm1ErN6TODH6W9MxVRI6aDaGIxmAM5X1FAlJOu3x/+3N92HARF2OXzcV33dcm97nWv99qutJf3WmtfeA7UarVqx44dqqqqkiTZbDbFxMTIYrHIZrM5xttsNlmt1ovWVpfCwkJt2bJF06ZNU5s2bZy2+fv7a/LkyVq3bp0Mw9CGDRvUtWtXLViwwLF6e8Hp06f14osv6p133tH27duVl5enmTNnOp37008/reeff17Z2dlauHCh5s2bV21Ve86cOXr88ceVnZ2tuLi4avUuWrRIPj4+jmY2my/r/AEAAABcfVwusErSrbfeqv79++uZZ56ptq1Xr14aOnSoVq9e7ehbv369DMPQxIkTLzp3ixYtFBkZqdzc3FrHHDp0SGFhYWrVqlWdc1mtVpWWlmrv3r2Szq+kWiwWRUdHKyMjQ2VlZTpz5oz27NlTLbB+/PHH8vLycmoLFy6ssybDMHTNNdfUuP2aa67RiRMn9N///ld+fn5q2bKl2rVr51i9vaCyslKvv/66rrvuOl177bV69NFHlZaW5tj+zDPPaNmyZRo/frxCQ0M1fvx4zZgxQ2+88YbT8Z544gnHmICAgGr1JCUlqaioyNGOHDlS52cJAAAAAD/n1twF1GbJkiX6zW9+47T6d0F8fLxmzJih5cuXq127dlq9erUmTJigdu3a1WtuwzAct8neeOON+uyzzyRJwcHB+uabb2QYRr3mCQ8PV9euXWW329W7d2998cUXslgs6ty5s7p166b09HQZhqHy8vJqgdVqtSolJcWpz8/PT5L0yCOP6K9//auj/9SpU061Xw5PT091797d8XNAQICOHTsmSSotLdXhw4c1depUPfjgg44xVVVV8vHxcZrnuuuuq/M47u7ucnd3v6xaAQAAAFzdXDawRkdHKy4uTklJSZoyZYrTtokTJ2rGjBlav369oqOjtXPnzhqfea3J2bNndejQIQ0aNEjS+ec1z5w5I0mOFdXIyEjt2LFDlZWVF11ljYmJkc1mU9++fRUREaHOnTtLkuO2YMMwFB4eXu2W2LZt2yo8PLzGORcsWFAtqIeHh8tkMik7O1u33nprtX2ys7PVvn17derUqc56f34+JpPJEYIvBOOVK1dqyJAhTuNatmxZrX4AAAAAuJJcNrBK0uLFi9W/f3/16NHDqb9du3aaMGGCVq9ercOHDysyMlLXX399veZ86623dOLECd12222SpKCgoGpj7rrrLr366qtasWKFHn/88WrbT5486fQc62OPPaZevXopJibGMSY6OlorV66UYRgNfn61c+fOjuB7QYcOHTRq1CitWLFCM2bMcHqOtaCgQH/729907733OlaOW7durbNnzzbouF26dFFgYKC+++47TZ48uUH7AgAAAEBjc+nAGhUVpcmTJ+vVV1+ttm3q1Km6/vrrlZ2drdmzZ9e4/+nTp1VQUKCqqir98MMP2rhxo/70pz/pd7/7XZ0hcsiQIfr973+vxMREHT16VLfeeqsCAwMdXyMzcuRIR5C98Bzr6tWrtXLlSsccFotFDzzwgCTV+PKm8vJyFRQUOPW5ubmpY8eOtdb12muvafjw4YqLi9Mf//hHhYaG6ptvvtGsWbMUFBSk559/3jE2JCRE27dv18SJE+Xu7l7nvD/17LPP6rHHHpOPj4/GjBmj8vJy7du3TydOnHB8xy0AAAAANAWXfOnSTy1YsEDnzp2r1j9y5Ej16NFDxcXFuvfee2vcd+XKlQoICFD37t01fvx47d+/X+vWrXP6mpbaLFmyRO+++64yMjIUFxen3r1768knn1Tfvn0dX2sjSaGhoQoODlZJSYksFoujv1u3bgoMDFRFRYXTyusFqampCggIcGojR46ss6aIiAjt27dPYWFhuuOOO9S9e3c99NBDslqtSk9PdzwDK53/3HJzc9W9e/eL3ib8Uw888ID+8pe/6M0331RUVJQsFovWrFnj9JU8AAAAANAUTMblvsUHqIfi4uLzL24Kmiu18GjucnAFGXnzmrsEAAAAuLAL2aCoqEje3t51jnX5FVYAAAAAwNWJwAoAAAAAcEkEVgAAAACASyKwAgAAAABckkt/rQ1+fYr2z77og9UAAAAAILHCCgAAAABwUQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JJ46RKalE+vJVILj+YuAy7EyJvX3CUAAADARbHCCgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAIrAAAAAMAlEVibSUFBgaZPn66wsDC5u7vLbDZr7NixSktL08SJEzVmzBin8ampqTKZTJo/f75T//z589WtWzdJUm5urkwmU41t9+7dtdaycuVKXX/99Wrfvr3at2+v2NhY7dmzx7G9srJSs2fPVlRUlNq2bavAwEDde++9+s9//tN4HwgAAAAA/AyBtRnk5uZq4MCB+uSTT7R06VJ99dVXSk1NldVqVUJCgqxWq3bu3KmqqirHPjabTWazWXa73Wkum80mq9Xq1Ldt2zbl5+c7tYEDB9Zaj91u16RJk2Sz2ZSeni6z2azRo0fr6NGjkqTTp08rMzNT8+bNU2ZmpjZs2KCDBw/qt7/9beN9KAAAAADwMybDMIzmLuJqc9NNN+nLL7/UwYMH1bZtW6dtJ0+e1LFjx9SjRw+lp6dr6NChkqQhQ4bovvvuU2Jiok6cOCEPDw+VlZXJ19dXr7/+uqZMmaLc3FyFhobqiy++UP/+/S+5vrNnz6p9+/Z67bXXdO+999Y4Zu/evRo8eLD+/e9/O1Z461JcXCwfHx8paK7UwuOSa8Ovj5E3r7lLAAAAQBO6kA2Kiork7e1d51hWWJtYYWGhUlNTlZCQUC2sSpKvr68iIyMVGBgom80mSSopKVFmZqYmTJigkJAQpaenS5J27dql8vLyaiusl+v06dOqrKyUn59frWOKiopkMpnk6+tb4/by8nIVFxc7NQAAAABoCAJrE8vJyZFhGOrZs2ed46xWq+P2388++0yRkZHq1KmToqOjHf12u12hoaEKDg522nf48OHy8vJyag0xe/ZsBQYGKjY2tsbtZWVlmj17tiZNmlTrv4gsWrRIPj4+jmY2mxtUAwAAAAAQWJtYfe/AjomJ0c6dO1VZWSm73a6YmBhJksVicQqsNa2urlu3TllZWU5NkvLy8pxC7MKFC6vtu3jxYq1du1YbN26Uh0f1W3crKyt1xx13yDAMpaSk1Fp/UlKSioqKHO3IkSP1Om8AAAAAuMCtuQu42kRERMhkMunAgQN1jrNarSotLdXevXtls9k0a9YsSecDa3x8vAoLC5WRkaGHH3642r5ms1nh4eHV+gMDAx3hVVK1W35ffPFFLV68WNu2bVPfvn2r7X8hrP773//WJ598Uuf95u7u7nJ3d6/zHAEAAACgLqywNjE/Pz/FxcUpOTlZpaWl1bafPHlSktS9e3eZzWZt3rxZWVlZslgskqSgoCAFBQVp2bJlqqioaNDzq25ubgoPD3e0nwbWF154Qc8995xSU1N13XXXVdv3Qlg9dOiQtm3bpg4dOjTwzAEAAACgYQiszSA5OVlnz57V4MGD9eGHH+rQoUPKzs7Wq6++qmHDhjnGWa1WrVixQuHh4erSpYuj32KxaPny5Y6XM/3c8ePHVVBQ4NTKyspqrWfJkiWaN2+eVq9erZCQEMc+p06dknQ+rN5+++3at2+f/va3v+ns2bOOMRUVFY34yQAAAADA/0NgbQZhYWHKzMyU1WpVYmKi+vTpo1GjRiktLc3puVCr1aqSkhLH86sXWCwWlZSU1Lq6Ghsbq4CAAKe2adOmWutJSUlRRUWFbr/9dqd9XnzxRUnS0aNHtXnzZv3www/q37+/05hdu3Zd9ucBAAAAADXhe1jRJPgeVtSG72EFAAC4uvA9rAAAAACAXzwCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJbs1dAK4uRftnX/TBagAAAACQWGEFAAAAALgoAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBL4i3BaFI+vZZILTyauwz8Shh585q7BAAAAFxBrLACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAIrAAAAAMAlEVgBAAAAAC6JwHoFFBQUaPr06QoLC5O7u7vMZrPGjh2rtLQ0TZw4UWPGjHEan5qaKpPJpPnz5zv1z58/X926dZMk5ebmymQy1dh2795dr7rWrl0rk8mkcePGOfVv2LBBo0ePVocOHWQymZSVlVXj/unp6frNb36jtm3bytvbW9HR0Tpz5ky9jg0AAAAADcX3sDay3NxcjRgxQr6+vlq6dKmioqJUWVmpLVu2KCEhQTNmzNDMmTNVVVUlN7fzH7/NZpPZbJbdbneay2azyWq1OvVt27ZNvXv3durr0KFDveqaOXOmrr/++mrbSktLNXLkSN1xxx168MEHa9w/PT1dY8aMUVJSkpYvXy43Nzf961//UosW/JsHAAAAgCuDwNrIpk2bJpPJpD179qht27aO/t69eys+Pl7Hjh3TqVOntG/fPg0dOlSSZLfbNWfOHCUmJqqsrEweHh4qKytTRkaG7r//fqf5O3ToIH9//wbVdPbsWU2ePFnPPvusPvvsM508edJp+z333CPpfKitzYwZM/TYY49pzpw5jr4ePXo0qA4AAAAAaAiWxxpRYWGhUlNTlZCQ4BRWL/D19VVkZKQCAwNls9kkSSUlJcrMzNSECRMUEhKi9PR0SdKuXbtUXl5ebYX1UixYsECdO3fW1KlTL2n/Y8eOKSMjQ507d9bw4cPVpUsXWSwW7dixo9Z9ysvLVVxc7NQAAAAAoCEIrI0oJydHhmGoZ8+edY6zWq2O238/++wzRUZGqlOnToqOjnb02+12hYaGKjg42Gnf4cOHy8vLy6nVZceOHVq1apVWrlx5yef13XffSTr/TO2DDz6o1NRUXXvttbrhhht06NChGvdZtGiRfHx8HM1sNl/y8QEAAABcnQisjcgwjHqNi4mJ0c6dO1VZWSm73a6YmBhJksVicQqsNa2urlu3TllZWU5NkvLy8pxC7MKFC1VSUqJ77rlHK1euVMeOHS/5vM6dOydJevjhh3X//fdrwIAB+tOf/qQePXpo9erVNe6TlJSkoqIiRzty5MglHx8AAADA1YlnWBtRRESETCaTDhw4UOc4q9Wq0tJS7d27VzabTbNmzZJ0PrDGx8ersLBQGRkZevjhh6vtazabFR4eXq0/MDDQ6e2+fn5+Onz4sHJzczV27FhH/4Xw6ebmpoMHD6p79+4XPa+AgABJUq9evZz6r7nmGuXl5dW4j7u7u9zd3S86NwAAAADUhsDaiPz8/BQXF6fk5GQ99thj1Z5jPXnypHx9fdW9e3eZzWZt3rxZWVlZslgskqSgoCAFBQVp2bJlqqioaNDzq25ubtWCrKenp7766iunvqeeekolJSV65ZVX6n2bbkhIiAIDA3Xw4EGn/m+//VY33nhjvWsEAAAAgIYgsDay5ORkjRgxQoMHD9aCBQvUt29fVVVVaevWrUpJSVF2drak86usK1asUHh4uLp06eLY32KxaPny5Y6XM/3c8ePHVVBQ4NTn6+srDw+PamM9PDzUp0+famMlOfUXFhYqLy9P//nPfyTJEUz9/f3l7+8vk8mkWbNm6ZlnnlG/fv3Uv39/vfXWWzpw4IA++OCDS/iUAAAAAODieIa1kYWFhSkzM1NWq1WJiYnq06ePRo0apbS0NKWkpDjGWa1WlZSUOJ5fvcBisaikpKTW1dXY2FgFBAQ4tU2bNl1WzZs3b9aAAQN08803S5ImTpyoAQMG6PXXX3eMeeKJJ5SUlKQZM2aoX79+SktL09atW+t1SzEAAAAAXAqTUd83BQGXobi4WD4+PlLQXKlF9dVg4FIYefOauwQAAAA00IVsUFRUJG9v7zrHssIKAAAAAHBJBFYAAAAAgEsisAIAAAAAXBKBFQAAAADgkvhaGzSpov2zL/pgNQAAAABIrLACAAAAAFwUgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAIrAAAAAMAl8ZZgNCmfXkukFh7NXQZQJyNvXnOXAAAAALHCCgAAAABwUQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAJrMykoKND06dMVFhYmd3d3mc1mjR07VmlpaZo4caLGjBnjND41NVUmk0nz58936p8/f766desmScrNzZXJZKqx7d69u9ZaVq5cqeuvv17t27dX+/btFRsbqz179jiNMQxDTz/9tAICAtSmTRvFxsbq0KFDjfNhAAAAAEANCKzNIDc3VwMHDtQnn3yipUuX6quvvlJqaqqsVqsSEhJktVq1c+dOVVVVOfax2Wwym82y2+1Oc9lsNlmtVqe+bdu2KT8/36kNHDiw1nrsdrsmTZokm82m9PR0mc1mjR49WkePHnWMeeGFF/Tqq6/q9ddfV0ZGhtq2bau4uDiVlZU1zocCAAAAAD9jMgzDaO4irjY33XSTvvzySx08eFBt27Z12nby5EkdO3ZMPXr0UHp6uoYOHSpJGjJkiO677z4lJibqxIkT8vDwUFlZmXx9ffX6669rypQpys3NVWhoqL744gv179//kus7e/as2rdvr9dee0333nuvDMNQYGCgEhMTNXPmTElSUVGRunTpojVr1mjixIkXnbO4uFg+Pj5S0Fyphccl1wY0BSNvXnOXAAAA8Kt1IRsUFRXJ29u7zrGssDaxwsJCpaamKiEhoVpYlSRfX19FRkYqMDBQNptNklRSUqLMzExNmDBBISEhSk9PlyTt2rVL5eXl1VZYL9fp06dVWVkpPz8/SdL333+vgoICxcbGOsb4+PhoyJAhjlp+rry8XMXFxU4NAAAAABqCwNrEcnJyZBiGevbsWec4q9XquP33s88+U2RkpDp16qTo6GhHv91uV2hoqIKDg532HT58uLy8vJxaQ8yePVuBgYGOgFpQUCBJ6tKli9O4Ll26OLb93KJFi+Tj4+NoZrO5QTUAAAAAAIG1idX3DuyYmBjt3LlTlZWVstvtiomJkSRZLBanwFrT6uq6deuUlZXl1CQpLy/PKcQuXLiw2r6LFy/W2rVrtXHjRnl4XPqtu0lJSSoqKnK0I0eOXPJcAAAAAK5Obs1dwNUmIiJCJpNJBw4cqHOc1WpVaWmp9u7dK5vNplmzZkk6H1jj4+NVWFiojIwMPfzww9X2NZvNCg8Pr9YfGBjoCK+SHLf8XvDiiy9q8eLF2rZtm/r27evo9/f3lyT9+OOPCggIcPT/+OOPtT4r6+7uLnd39zrPEQAAAADqwgprE/Pz81NcXJySk5NVWlpabfvJkyclSd27d5fZbNbmzZuVlZUli8UiSQoKClJQUJCWLVumioqKBj2/6ubmpvDwcEf7aWB94YUX9Nxzzyk1NVXXXXed036hoaHy9/dXWlqao6+4uFgZGRkaNmxYQ04fAAAAAOqNwNoMkpOTdfbsWQ0ePFgffvihDh06pOzsbL366qtOAdBqtWrFihUKDw93en7UYrFo+fLljpcz/dzx48dVUFDg1Or6+pklS5Zo3rx5Wr16tUJCQhz7nDp1SpJkMpn0xBNP6I9//KM2b96sr776Svfee68CAwM1bty4xvtgAAAAAOAnCKzNICwsTJmZmbJarUpMTFSfPn00atQopaWlKSUlxTHOarWqpKTE8fzqBRaLRSUlJbWursbGxiogIMCpbdq0qdZ6UlJSVFFRodtvv91pnxdffNEx5ve//72mT5+uhx56SIMGDdKpU6eUmpp6Wc+5AgAAAEBd+B5WNAm+hxW/JHwPKwAAwJXD97ACAAAAAH7xCKwAAAAAAJdEYAUAAAAAuCQCKwAAAADAJbk1dwG4uhTtn33RB6sBAAAAQGKFFQAAAADgogisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALom3BKNJ+fRaIrXwaO4ygCZl5M1r7hIAAAB+kVhhBQAAAAC4JAIrAAAAAMAlEVgBAAAAAC6JwAoAAAAAcEkEVgAAAACASyKwAgAAAABcEoH1CigoKND06dMVFhYmd3d3mc1mjR07VmlpaZo4caLGjBnjND41NVUmk0nz58936p8/f766desmScrNzZXJZKqx7d69u9ZavvnmG912220KCQmRyWTSyy+/XG3MokWLNGjQILVr106dO3fWuHHjdPDgQacxMTEx1Y77yCOPXNoHBAAAAAD1QGBtZLm5uRo4cKA++eQTLV26VF999ZVSU1NltVqVkJAgq9WqnTt3qqqqyrGPzWaT2WyW3W53mstms8lqtTr1bdu2Tfn5+U5t4MCBtdZz+vRphYWFafHixfL3969xzKeffqqEhATt3r1bW7duVWVlpUaPHq3S0lKncQ8++KDTcV944YUGfjoAAAAAUH9uzV3Ar820adNkMpm0Z88etW3b1tHfu3dvxcfH69ixYzp16pT27dunoUOHSpLsdrvmzJmjxMRElZWVycPDQ2VlZcrIyND999/vNH+HDh1qDZ41GTRokAYNGiRJmjNnTo1jUlNTnX5es2aNOnfurM8//1zR0dGOfk9PzwYdGwAAAAAuByusjaiwsFCpqalKSEhwCqsX+Pr6KjIyUoGBgbLZbJKkkpISZWZmasKECQoJCVF6erokadeuXSovL6+2wtoUioqKJEl+fn5O/X/729/UsWNH9enTR0lJSTp9+nStc5SXl6u4uNipAQAAAEBDEFgbUU5OjgzDUM+ePescZ7VaHbf/fvbZZ4qMjFSnTp0UHR3t6Lfb7QoNDVVwcLDTvsOHD5eXl5dTa0znzp3TE088oREjRqhPnz6O/rvuukt//etfZbPZlJSUpHfeeUd33313rfMsWrRIPj4+jmY2mxu1TgAAAAC/ftwS3IgMw6jXuJiYGD3xxBOqrKyU3W5XTEyMJMliseiNN96QdD6w1rS6um7dOl1zzTXV+vPy8tSrVy/Hz3PnztXcuXMbfA4JCQn6+uuvtWPHDqf+hx56yPHrqKgoBQQE6IYbbtDhw4fVvXv3avMkJSXpySefdPxcXFxMaAUAAADQIATWRhQRESGTyaQDBw7UOc5qtaq0tFR79+6VzWbTrFmzJJ0PrPHx8SosLFRGRoYefvjhavuazWaFh4dX6w8MDFRWVpbj55/fzlsfjz76qD7++GNt375dXbt2rXPskCFDJJ1fVa4psLq7u8vd3b3BNQAAAADABdwS3Ij8/PwUFxen5OTkam/YlaSTJ09Kkrp37y6z2azNmzcrKytLFotFkhQUFKSgoCAtW7ZMFRUVDXp+1c3NTeHh4Y7WkMBqGIYeffRRbdy4UZ988olCQ0Mvus+FcBwQEFDv4wAAAABAQ7DC2siSk5M1YsQIDR48WAsWLFDfvn1VVVWlrVu3KiUlRdnZ2ZLOr7KuWLFC4eHh6tKli2N/i8Wi5cuXO17O9HPHjx9XQUGBU5+vr688PDxqrKeiokL79+93/Pro0aPKysqSl5eXY6U2ISFB7777rj766CO1a9fOMb+Pj4/atGmjw4cP691339VNN92kDh066Msvv9SMGTMUHR2tvn37Xv6HBgAAAAA1YIW1kYWFhSkzM1NWq1WJiYnq06ePRo0apbS0NKWkpDjGWa1WlZSUOJ5fvcBisaikpKTW1dXY2FgFBAQ4tU2bNtVaz3/+8x8NGDBAAwYMUH5+vl588UUNGDBADzzwgGNMSkqKioqKFBMT4zTvunXrJEmtW7fWtm3bNHr0aPXs2VOJiYm67bbb9Pe///3SPygAAAAAuAiTUd83BQGXobi4WD4+PlLQXKlFzavBwK+VkTevuUsAAABwGReyQVFRkby9vescyworAAAAAMAlEVgBAAAAAC6JwAoAAAAAcEkEVgAAAACASyKwAgAAAABcEt/DiiZVtH/2Rd8EBgAAAAASK6wAAAAAABdFYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuiZcuoUn59FoitfBo7jKAXwQjb15zlwAAANCsWGEFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrM2goKBA06dPV1hYmNzd3WU2mzV27FilpaVp4sSJGjNmjNP41NRUmUwmzZ8/36l//vz56tatmyQpNzdXJpOpxrZ79+4663n55ZfVo0cPtWnTRmazWTNmzFBZWZlje0lJiZ544gkFBwerTZs2Gj58uPbu3ds4HwYAAAAA1MKtuQu42uTm5mrEiBHy9fXV0qVLFRUVpcrKSm3ZskUJCQmaMWOGZs6cqaqqKrm5nf/tsdlsMpvNstvtTnPZbDZZrVanvm3btql3795OfR06dKi1nnfffVdz5szR6tWrNXz4cH377beaMmWKTCaTXnrpJUnSAw88oK+//lrvvPOOAgMD9de//lWxsbHav3+/goKCGuFTAQAAAIDqCKxNbNq0aTKZTNqzZ4/atm3r6O/du7fi4+N17NgxnTp1Svv27dPQoUMlSXa7XXPmzFFiYqLKysrk4eGhsrIyZWRk6P7773eav0OHDvL39693Pbt27dKIESN01113SZJCQkI0adIkZWRkSJLOnDmjDz/8UB999JGio6MlnV/Z/fvf/66UlBT98Y9/vKzPAwAAAABqwy3BTaiwsFCpqalKSEhwCqsX+Pr6KjIyUoGBgbLZbJLO346bmZmpCRMmKCQkROnp6ZLOB83y8vJqK6wNNXz4cH3++efas2ePJOm7777TP/7xD910002SpKqqKp09e1YeHh5O+7Vp00Y7duyodd7y8nIVFxc7NQAAAABoCAJrE8rJyZFhGOrZs2ed46xWq+P2388++0yRkZHq1KmToqOjHf12u12hoaEKDg522nf48OHy8vJyanW56667tGDBAo0cOVKtWrVS9+7dFRMTo7lz50qS2rVrp2HDhum5557Tf/7zH509e1Z//etflZ6ervz8/FrnXbRokXx8fBzNbDZf5NMBAAAAAGcE1iZkGEa9xsXExGjnzp2qrKyU3W5XTEyMJMlisTgF1ppWV9etW6esrCynJkl5eXlOIXbhwoWOeRYuXKgVK1YoMzNTGzZs0P/8z//oueeec8z5zjvvyDAMBQUFyd3dXa+++qomTZqkFi1qv3ySkpJUVFTkaEeOHKnXuQMAAADABTzD2oQiIiJkMpl04MCBOsdZrVaVlpZq7969stlsmjVrlqTzgTU+Pl6FhYXKyMjQww8/XG1fs9ms8PDwav2BgYGO8CpJfn5+kqR58+bpnnvu0QMPPCBJioqKUmlpqR566CH94Q9/UIsWLdS9e3d9+umnKi0tVXFxsQICAnTnnXcqLCys1nNwd3eXu7v7RT8TAAAAAKgNK6xNyM/PT3FxcUpOTlZpaWm17SdPnpQkde/eXWazWZs3b1ZWVpYsFoskKSgoSEFBQVq2bJkqKioa9Pyqm5ubwsPDHe1CYD19+nS1ldKWLVtKqr4i3LZtWwUEBOjEiRPasmWLbrnllnofHwAAAAAaihXWJpacnKwRI0Zo8ODBWrBggfr27auqqipt3bpVKSkpys7OlnR+lXXFihUKDw9Xly5dHPtbLBYtX77c8XKmnzt+/LgKCgqc+nx9fau9NOmCsWPH6qWXXtKAAQM0ZMgQ5eTkaN68eRo7dqwjuG7ZskWGYahHjx7KycnRrFmz1LNnz2pvKAYAAACAxkRgbWJhYWHKzMzU888/r8TEROXn56tTp04aOHCgUlJSHOOsVqvefvttx/OrF1gsFr355puOr6H5udjY2Gp97733niZOnFjj+Keeekomk0lPPfWUjh49qk6dOmns2LF6/vnnHWOKioqUlJSkH374QX5+frrtttv0/PPPq1WrVpfwCQAAAABA/ZiM+r4JCLgMxcXF8vHxkYLmSi1qXu0F4MzIm9fcJQAAADS6C9mgqKhI3t7edY7lGVYAAAAAgEsisAIAAAAAXBKBFQAAAADgkgisAAAAAACXxFuC0aSK9s++6IPVAAAAACCxwgoAAAAAcFEEVgAAAACASyKwAgAAAABcEoEVAAAAAOCSeOkSmpRPryVSC4/mLgMAmoWRN6+5SwAA4BeFFVYAAAAAgEsisAIAAAAAXBKBFQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALonAegUUFBRo+vTpCgsLk7u7u8xms8aOHau0tDRNnDhRY8aMcRqfmpoqk8mk+fPnO/XPnz9f3bp1kyTl5ubKZDLV2Hbv3l1rLTExMTXuc/PNNzvGnDp1So8++qi6du2qNm3aqFevXnr99dcd2+s69vvvv98InxgAAAAAVOfW3AX82uTm5mrEiBHy9fXV0qVLFRUVpcrKSm3ZskUJCQmaMWOGZs6cqaqqKrm5nf/4bTabzGaz7Ha701w2m01Wq9Wpb9u2berdu7dTX4cOHWqtZ8OGDaqoqHD8fPz4cfXr108TJkxw9D355JP65JNP9Ne//lUhISH63//9X02bNk2BgYH67W9/K7PZrPz8fKd5//znP2vp0qW68cYbG/T5AAAAAEB9EVgb2bRp02QymbRnzx61bdvW0d+7d2/Fx8fr2LFjOnXqlPbt26ehQ4dKkux2u+bMmaPExESVlZXJw8NDZWVlysjI0P333+80f4cOHeTv71/vevz8/Jx+Xrt2rTw9PZ0C665du3TfffcpJiZGkvTQQw/pjTfe0J49e/Tb3/5WLVu2rHbMjRs36o477pCXl1e9awEAAACAhuCW4EZUWFio1NRUJSQkOIXVC3x9fRUZGanAwEDZbDZJUklJiTIzMzVhwgSFhIQoPT1d0vkQWV5eXm2F9XKtWrVKEydOdKpv+PDh2rx5s44ePSrDMGSz2fTtt99q9OjRNc7x+eefKysrS1OnTq31OOXl5SouLnZqAAAAANAQBNZGlJOTI8Mw1LNnzzrHWa1Wx+2/n332mSIjI9WpUydFR0c7+u12u0JDQxUcHOy07/Dhw+Xl5eXU6mvPnj36+uuv9cADDzj1L1++XL169VLXrl3VunVrjRkzRsnJyYqOjq5xnlWrVumaa67R8OHDaz3WokWL5OPj42hms7nedQIAAACARGBtVIZh1GtcTEyMdu7cqcrKStntdsetuBaLxSmw1rS6um7dOmVlZTk1ScrLy3MKsQsXLqy276pVqxQVFaXBgwc79S9fvly7d+/W5s2b9fnnn2vZsmVKSEjQtm3bqs1x5swZvfvuu3WurkpSUlKSioqKHO3IkSP1+GQAAAAA4P/hGdZGFBERIZPJpAMHDtQ5zmq1qrS0VHv37pXNZtOsWbMknQ+s8fHxKiwsVEZGhh5++OFq+5rNZoWHh1frDwwMdIRXqfqzq6WlpVq7dq0WLFjg1H/mzBnNnTtXGzdudLw5uG/fvsrKytKLL76o2NhYp/EffPCBTp8+rXvvvbfOc3R3d5e7u3udYwAAAACgLqywNiI/Pz/FxcUpOTlZpaWl1bafPHlSktS9e3eZzWZt3rxZWVlZslgskqSgoCAFBQVp2bJlqqioaNDzq25ubgoPD3e0nwfW999/X+Xl5br77rud+isrK1VZWakWLZwvhZYtW+rcuXPVjrNq1Sr99re/VadOnepdGwAAAABcClZYG1lycrJGjBihwYMHa8GCBerbt6+qqqq0detWpaSkKDs7W9L5VdYVK1YoPDxcXbp0cexvsVi0fPlyx8uZfu748eMqKChw6vP19ZWHh0edda1atUrjxo2r9hU43t7eslgsmjVrltq0aaPg4GB9+umnevvtt/XSSy85jc3JydH27dv1j3/8o0GfCQAAAABcClZYG1lYWJgyMzNltVqVmJioPn36aNSoUUpLS1NKSopjnNVqVUlJieP51QssFotKSkpqXV2NjY1VQECAU9u0aVOdNR08eFA7duyo9bnTtWvXatCgQZo8ebJ69eqlxYsX6/nnn9cjjzziNG716tXq2rVrrW8PBgAAAIDGZDLq+6Yg4DIUFxfLx8dHCportah7NRgAfq2MvHnNXQIAAM3uQjYoKiqSt7d3nWNZYQUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJfK0NmlTR/tkXfbAaAAAAACRWWAEAAAAALorACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JJ4SzCalE+vJVILj+YuAwAANBEjb15zlwDgF4wVVgAAAACASyKwAgAAAABcEoEVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCQC6/8vJiZGTzzxxGXPM2XKFI0bN+6y5wEAAACAq92vOrBOmTJFJpNJjzzySLVtCQkJMplMmjJliiRpw4YNeu655y77mK+88orWrFlz2fM0hMlkcrS2bdsqIiJCU6ZM0eeff97guRoruAMAAADA5fpVB1ZJMpvNWrt2rc6cOePoKysr07vvvqtu3bo5+vz8/NSuXbvLPp6Pj498fX0ve56GevPNN5Wfn69vvvlGycnJOnXqlIYMGaK33367yWsBAAAAgMbwqw+s1157rcxmszZs2ODo27Bhg7p166YBAwY4+n6+srhixQpFRETIw8NDXbp00e233+7Y9sEHHygqKkpt2rRRhw4dFBsbq9LSUknVbwmOiYnRY489pt///vfy8/OTv7+/5s+f71TjgQMHNHLkSHl4eKhXr17atm2bTCaTNm3aVO/z9PX1lb+/v0JCQjR69Gh98MEHmjx5sh599FGdOHFCknT8+HFNmjRJQUFB8vT0VFRUlN577z3HHFOmTNGnn36qV155xbFim5ubq7Nnz2rq1KkKDQ1VmzZt1KNHD73yyiv1rg0AAAAALsWvPrBKUnx8vN58803Hz6tXr9b9999f6/h9+/bpscce04IFC3Tw4EGlpqYqOjpakpSfn69JkyYpPj5e2dnZstvtGj9+vAzDqHW+t956S23btlVGRoZeeOEFLViwQFu3bpUknT17VuPGjZOnp6cyMjL05z//WX/4wx8a5bxnzJihkpISx7HKyso0cOBA/c///I++/vprPfTQQ7rnnnu0Z88eSedvZx42bJgefPBB5efnKz8/X2azWefOnVPXrl31/vvva//+/Xr66ac1d+5crV+/vtZjl5eXq7i42KkBAAAAQEO4NXcBTeHuu+9WUlKS/v3vf0uSdu7cqbVr18put9c4Pi8vT23bttX/+T//R+3atVNwcLBjNTY/P19VVVUaP368goODJUlRUVF1Hr9v37565plnJEkRERF67bXXlJaWplGjRmnr1q06fPiw7Ha7/P39JUnPP/+8Ro0addnn3bNnT0lSbm6uJCkoKEgzZ850bJ8+fbq2bNmi9evXa/DgwfLx8VHr1q3l6enpqEWSWrZsqWeffdbxc2hoqNLT07V+/XrdcccdNR570aJFTvsAAAAAQENdFYG1U6dOuvnmm7VmzRoZhqGbb75ZHTt2rHX8qFGjFBwcrLCwMI0ZM0ZjxozRrbfeKk9PT/Xr10833HCDoqKiFBcXp9GjR+v2229X+/bta52vb9++Tj8HBATo2LFjkqSDBw/KbDY7BcTBgwdf5hmfd2HV12QySTq/mrtw4UKtX79eR48eVUVFhcrLy+Xp6XnRuZKTk7V69Wrl5eXpzJkzqqioUP/+/Wsdn5SUpCeffNLxc3Fxscxm8+WdEAAAAICrylVxS7B0/rbgNWvW6K233lJ8fHydY9u1a6fMzEy99957CggI0NNPP61+/frp5MmTatmypbZu3ap//vOf6tWrl5YvX64ePXro+++/r3W+Vq1aOf1sMpl07ty5RjmvumRnZ0s6vyIqSUuXLtUrr7yi2bNny2azKSsrS3FxcaqoqKhznrVr12rmzJmaOnWq/vd//1dZWVm6//7769zP3d1d3t7eTg0AAAAAGuKqCaxjxoxRRUWFKisrFRcXd9Hxbm5uio2N1QsvvKAvv/xSubm5+uSTTySdD5wjRozQs88+qy+++EKtW7fWxo0bL6muHj166MiRI/rxxx8dfXv37r2kuX7u5Zdflre3t2JjYyWdvxX6lltu0d13361+/fopLCxM3377rdM+rVu31tmzZ536du7cqeHDh2vatGkaMGCAwsPDdfjw4UapEQAAAABqc1XcEiydfw7zwopjy5Yt6xz78ccf67vvvlN0dLTat2+vf/zjHzp37px69OihjIwMpaWlafTo0ercubMyMjL03//+V9dcc80l1TVq1Ch1795d9913n1544QWVlJToqaeekvT/buWtj5MnT6qgoEDl5eX69ttv9cYbb2jTpk16++23HV+zExERoQ8++EC7du1S+/bt9dJLL+nHH39Ur169HPOEhIQoIyNDubm58vLykp+fnyIiIvT2229ry5YtCg0N1TvvvKO9e/c6Vm4BAAAA4Eq4alZYJdX71lRfX19t2LBBv/nNb3TNNdfo9ddf13vvvafevXvL29tb27dv10033aTIyEg99dRTWrZsmW688cZLqqlly5batGmTTp06pUGDBumBBx5wvCXYw8Oj3vPcf//9CggIUM+ePfW73/1OXl5e2rNnj+666y7HmKeeekrXXnut4uLiFBMTI39/f6ev4JGkmTNnqmXLlurVq5c6deqkvLw8Pfzwwxo/frzuvPNODRkyRMePH9e0adMu6XwBAAAAoL5MRl3fx4JmsXPnTo0cOVI5OTnq3r17c5fTKIqLi+Xj4yMFzZVa1D+IAwCAXzYjb15zlwDAxVzIBkVFRRddULxqbgl2ZRs3bpSXl5ciIiKUk5Ojxx9/XCNGjPjVhFUAAAAAuBRX1S3BrqqkpEQJCQnq2bOnpkyZokGDBumjjz6SJC1cuFBeXl41tku9DRkAAAAAfgm4JdjFFRYWqrCwsMZtbdq0UVBQUBNXdGm4JRgAgKsTtwQD+DluCf4V8fPzk5+fX3OXAQAAAABNjsCKJlW0f3a93tQMAAAAADzDCgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl8RbgtGkfHot4XtYAQAAgCvs1/IdyKywAgAAAABcEoEVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYf+VCQkL08ssvN2ifnTt3KioqSq1atdK4ceOuSF0AAAAAcDHNGlinTJkik8mkxYsXO/Vv2rRJJpNJH374oVq2bKmjR4/WuH9ERISefPJJSVJMTIxMJpNMJpPc3d0VFBSksWPHasOGDfWu58MPP1RMTIx8fHzk5eWlvn37asGCBSosLNSBAwdkMpm0e/dup32GDh0qDw8PlZWVOfrKysrk4eGhVatWOZ3nz9uYMWPqXdul2rt3rx566KEG7fPkk0+qf//++v7777VmzZorUxgAAAAAXESzr7B6eHhoyZIlOnHiRLVtv/3tb9WhQwe99dZb1bZt375dOTk5mjp1qqPvwQcfVH5+vg4fPqwPP/xQvXr10sSJE+sV2P7whz/ozjvv1KBBg/TPf/5TX3/9tZYtW6Z//etfeuedd9SzZ0/5+/vLbrc79ikpKVFmZqY6derkFGTT09NVXl6u3/zmN46+MWPGKD8/36m999579f2YLlmnTp3k6enZoH0OHz6s3/zmN+ratat8fX2vTGEAAAAAcBHNHlhjY2Pl7++vRYsWVdvWqlUr3XPPPTWu8q1evVpDhgxR7969HX2enp7y9/dX165dNXToUC1ZskRvvPGGVq5cqW3bttVaw549e7Rw4UItW7ZMS5cu1fDhwxUSEqJRo0bpww8/1H333SdJslqtToF1x44dioyM1NixY5367Xa7goODFRoa6uhzd3eXv7+/U2vfvn2tNeXm5spkMmnDhg2yWq3y9PRUv379lJ6e7jTuww8/VO/eveXu7q6QkBAtW7bMafvPbwk2mUz6y1/+oltvvVWenp6KiIjQ5s2bnY55/PhxxcfHy2QyOT77Tz/9VIMHD5a7u7sCAgI0Z84cVVVV1Vo/AAAAAFyuZg+sLVu21MKFC7V8+XL98MMP1bZPnTpVhw4d0vbt2x19p06d0gcffOC0ulqb++67T+3bt6/z1uC//e1v8vLy0rRp02rcfmGV0Wq1aseOHY6gZrPZFBMTI4vFIpvN5hhvs9lktVovWlt9/OEPf9DMmTOVlZWlyMhITZo0yXH8zz//XHfccYcmTpyor776SvPnz9e8efMuehvvs88+qzvuuENffvmlbrrpJk2ePFmFhYUym83Kz8+Xt7e3Xn75ZeXn5+vOO+/U0aNHddNNN2nQoEH617/+pZSUFK1atUp//OMfaz1GeXm5iouLnRoAAAAANESzB1ZJuvXWW9W/f38988wz1bb16tVLQ4cO1erVqx1969evl2EYmjhx4kXnbtGihSIjI5Wbm1vrmEOHDiksLEytWrWqcy6r1arS0lLt3btX0vmVVIvFoujoaGVkZKisrExnzpzRnj17qgXWjz/+WF5eXk5t4cKFF61/5syZuvnmmxUZGalnn31W//73v5WTkyNJeumll3TDDTdo3rx5ioyM1JQpU/Too49q6dKldc45ZcoUTZo0SeHh4Vq4cKFOnTqlPXv2qGXLlvL395fJZJKPj4/8/f3Vpk0brVixQmazWa+99pp69uypcePG6dlnn9WyZct07ty5Go+xaNEi+fj4OJrZbL7ouQIAAADAT7lEYJWkJUuW6K233lJ2dna1bfHx8frggw9UUlIi6fztwBMmTFC7du3qNbdhGDKZTJKkG2+80REYL9xObBhGveYJDw9X165dZbfbVVxcrC+++EIWi0UBAQHq1q2b0tPTHc+v/jywWq1WZWVlObVHHnlEkvTII484Bdmf6tu3r+PXAQEBkqRjx45JkrKzszVixAin8SNGjNChQ4d09uzZWs/jp3O2bdtW3t7ejjlrkp2drWHDhjk+wwvHOXXqVI2r4pKUlJSkoqIiRzty5Eit8wMAAABATdyau4ALoqOjFRcXp6SkJE2ZMsVp28SJEzVjxgytX79e0dHR2rlzZ43PvNbk7NmzOnTokAYNGiRJ+stf/qIzZ85IkmNFNTIyUjt27FBlZeVFV1ljYmJks9nUt29fRUREqHPnzpLkuC3YMAyFh4dXW1Fs27atwsPDa5xzwYIFmjlzZo3bflrPhcBY26pmff38HE0m02XP+XPu7u5yd3dv1DkBAAAAXF1cJrBK0uLFi9W/f3/16NHDqb9du3aaMGGCVq9ercOHDysyMlLXX399veZ86623dOLECd12222SpKCgoGpj7rrrLr366qtasWKFHn/88WrbT5486fQc62OPPaZevXopJibGMSY6OlorV66UYRgNfn61c+fOjuDbENdcc4127tzp1Ldz505FRkaqZcuWDZ6vruN8+OGHTivVO3fuVLt27dS1a9dGOw4AAAAA/JRLBdaoqChNnjxZr776arVtU6dO1fXXX6/s7GzNnj27xv1Pnz6tgoICVVVV6YcfftDGjRv1pz/9Sb/73e/qDJFDhgzR73//eyUmJuro0aO69dZbFRgYqJycHL3++usaOXKkI8heeI519erVWrlypWMOi8WiBx54QJJqfHlTeXm5CgoKnPrc3NzUsWPHi38wtUhMTNSgQYP03HPP6c4771R6erpee+01rVix4pLnrMm0adP08ssva/r06Xr00Ud18OBBPfPMM3ryySfVooXL3FUOAAAA4FfG5dLGggULarw9deTIkerRo4eKi4t177331rjvypUrFRAQoO7du2v8+PHav3+/1q1bV68At2TJEr377rvKyMhQXFycevfurSeffFJ9+/Z1fK2NJIWGhio4OFglJSWyWCyO/m7duikwMFAVFRVOK68XpKamKiAgwKmNHDmyHp9I7a699lqtX79ea9euVZ8+ffT0009rwYIF1W6pvlxBQUH6xz/+oT179qhfv3565JFHNHXqVD311FONehwAAAAA+CmTUd83DgGXobi4WD4+PlLQXKmFR3OXAwAAAPyqGXnzmruEWl3IBkVFRfL29q5zrMutsAIAAAAAIBFYAQAAAAAuisAKAAAAAHBJBFYAAAAAgEtyqa+1wa9f0f7ZF32wGgAAAAAkVlgBAAAAAC6KwAoAAAAAcEkEVgAAAACASyKwAgAAAABcEoEVAAAAAOCSeEswmpRPryVSC4/mLgMAAAC4ahh585q7hEvGCisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl0RgbSYFBQWaPn26wsLC5O7uLrPZrLFjxyotLU0TJ07UmDFjnManpqbKZDJp/vz5Tv3z589Xt27dJEm5ubkymUw1tt27d9daS0xMTI373HzzzY4xP/74o6ZMmaLAwEB5enpqzJgxOnToUON9IAAAAADwM27NXcDVKDc3VyNGjJCvr6+WLl2qqKgoVVZWasuWLUpISNCMGTM0c+ZMVVVVyc3t/G+RzWaT2WyW3W53mstms8lqtTr1bdu2Tb1793bq69ChQ631bNiwQRUVFY6fjx8/rn79+mnChAmSJMMwNG7cOLVq1UofffSRvL299dJLLyk2Nlb79+9X27ZtL+fjAAAAAIAaEVibwbRp02QymbRnzx6nsNe7d2/Fx8fr2LFjOnXqlPbt26ehQ4dKkux2u+bMmaPExESVlZXJw8NDZWVlysjI0P333+80f4cOHeTv71/vevz8/Jx+Xrt2rTw9PR2B9dChQ9q9e7e+/vprRxBOSUmRv7+/3nvvPT3wwAPV5iwvL1d5ebnj5+Li4nrXAwAAAAAStwQ3ucLCQqWmpiohIaHGlUlfX19FRkYqMDBQNptNklRSUqLMzExNmDBBISEhSk9PlyTt2rVL5eXl1VZYL9eqVas0ceJER30XgqeHh4djTIsWLeTu7q4dO3bUOMeiRYvk4+PjaGazuVFrBAAAAPDrR2BtYjk5OTIMQz179qxznNVqddz++9lnnykyMlKdOnVSdHS0o99utys0NFTBwcFO+w4fPlxeXl5Orb727Nmjr7/+2mnVtGfPnurWrZuSkpJ04sQJVVRUaMmSJfrhhx+Un59f4zxJSUkqKipytCNHjtS7BgAAAACQCKxNzjCMeo2LiYnRzp07VVlZKbvdrpiYGEmSxWJxCqw1ra6uW7dOWVlZTk2S8vLynELswoULq+27atUqRUVFafDgwY6+Vq1aacOGDfr222/l5+cnT09P2Ww23XjjjWrRouZLyN3dXd7e3k4NAAAAABqCZ1ibWEREhEwmkw4cOFDnOKvVqtLSUu3du1c2m02zZs2SdD6wxsfHq7CwUBkZGXr44Yer7Ws2mxUeHl6tPzAw0BFeperPrpaWlmrt2rVasGBBtX0HDhyorKwsFRUVqaKiQp06ddKQIUN03XXX1ee0AQAAAKDBWGFtYn5+foqLi1NycrJKS0urbT958qQkqXv37jKbzdq8ebOysrJksVgkSUFBQQoKCtKyZctUUVHRoOdX3dzcFB4e7mg/D6zvv/++ysvLdffdd9c6h4+Pjzp16qRDhw5p3759uuWWW+p9fAAAAABoCAJrM0hOTtbZs2c1ePBgffjhhzp06JCys7P16quvatiwYY5xVqtVK1asUHh4uLp06eLot1gsWr58uePlTD93/PhxFRQUOLWysrKL1rVq1SqNGzeuxq/Aef/992W32/Xdd9/po48+0qhRozRu3DiNHj36Ej8FAAAAAKgbgbUZhIWFKTMzU1arVYmJierTp49GjRqltLQ0paSkOMZZrVaVlJQ4nl+9wGKxqKSkpNbV1djYWAUEBDi1TZs21VnTwYMHtWPHDk2dOrXG7fn5+brnnnvUs2dPPfbYY7rnnnv03nvvNei8AQAAAKAhTEZ93wIEXIbi4mL5+PhIQXOlFh4X3wEAAABAozDy5jV3CU4uZIOioqKLvpyVFVYAAAAAgEsisAIAAAAAXBKBFQAAAADgkgisAAAAAACX5NbcBeDqUrR/9kUfrAYAAAAAiRVWAAAAAICLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAIrAAAAAMAlEVgBAAAAAC6JwAoAAAAAcEkEVgAAAACASyKwAgAAAABcEoEVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJBFYAAAAAgEsisAIAAAAAXBKBFQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAIrAAAAAMAlEVgBAAAAAC6JwAoAAAAAcEkEVgAAAACAS3Jr7gJwdTAMQ5JUXFzczJUAAAAAaE4XMsGFjFAXAiuaxPHjxyVJZrO5mSsBAAAA4ApKSkrk4+NT5xgCK5qEn5+fJCkvL++iFyUgnf+XN7PZrCNHjsjb27u5y4GL43pBQ3HNoCG4XtBQXDN1MwxDJSUlCgwMvOhYAiuaRIsW5x+X9vHx4T9aNIi3tzfXDOqN6wUNxTWDhuB6QUNxzdSuvotYvHQJAAAAAOCSCKwAAAAAAJdEYEWTcHd31zPPPCN3d/fmLgW/EFwzaAiuFzQU1wwagusFDcU103hMRn3eJQwAAAAAQBNjhRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAIrAAAAAMAlEVjRJJKTkxUSEiIPDw8NGTJEe/bsae6S0Azmz58vk8nk1Hr27OnYXlZWpoSEBHXo0EFeXl667bbb9OOPPzrNkZeXp5tvvlmenp7q3LmzZs2apaqqqqY+FVwB27dv19ixYxUYGCiTyaRNmzY5bTcMQ08//bQCAgLUpk0bxcbG6tChQ05jCgsLNXnyZHl7e8vX11dTp07VqVOnnMZ8+eWXuv766+Xh4SGz2awXXnjhSp8arpCLXTNTpkyp9mfOmDFjnMZwzVw9Fi1apEGDBqldu3bq3Lmzxo0bp4MHDzqNaay/h+x2u6699lq5u7srPDxca9asudKnh0ZWn+slJiam2p8xjzzyiNMYrpfLR2DFFbdu3To9+eSTeuaZZ5SZmal+/fopLi5Ox44da+7S0Ax69+6t/Px8R9uxY4dj24wZM/T3v/9d77//vj799FP95z//0fjx4x3bz549q5tvvlkVFRXatWuX3nrrLa1Zs0ZPP/10c5wKGllpaan69eun5OTkGre/8MILevXVV/X6668rIyNDbdu2VVxcnMrKyhxjJk+erG+++UZbt27Vxx9/rO3bt+uhhx5ybC8uLtbo0aMVHByszz//XEuXLtX8+fP15z//+YqfHxrfxa4ZSRozZozTnznvvfee03aumavHp59+qoSEBO3evVtbt25VZWWlRo8erdLSUseYxvh76Pvvv9fNN98sq9WqrKwsPfHEE3rggQe0ZcuWJj1fXJ76XC+S9OCDDzr9GfPTf9DiemkkBnCFDR482EhISHD8fPbsWSMwMNBYtGhRM1aF5vDMM88Y/fr1q3HbyZMnjVatWhnvv/++oy87O9uQZKSnpxuGYRj/+Mc/jBYtWhgFBQWOMSkpKYa3t7dRXl5+RWtH05JkbNy40fHzuXPnDH9/f2Pp0qWOvpMnTxru7u7Ge++9ZxiGYezfv9+QZOzdu9cx5p///KdhMpmMo0ePGoZhGCtWrDDat2/vdL3Mnj3b6NGjxxU+I1xpP79mDMMw7rvvPuOWW26pdR+umavbsWPHDEnGp59+ahhG4/099Pvf/97o3bu307HuvPNOIy4u7kqfEq6gn18vhmEYFovFePzxx2vdh+ulcbDCiiuqoqJCn3/+uWJjYx19LVq0UGxsrNLT05uxMjSXQ4cOKTAwUGFhYZo8ebLy8vIkSZ9//rkqKyudrpWePXuqW7dujmslPT1dUVFR6tKli2NMXFyciouL9c033zTtiaBJff/99yooKHC6Pnx8fDRkyBCn68PX11fXXXedY0xsbKxatGihjIwMx5jo6Gi1bt3aMSYuLk4HDx7UiRMnmuhs0JTsdrs6d+6sHj166He/+52OHz/u2MY1c3UrKiqSJPn5+UlqvL+H0tPTnea4MIb/7/ll+/n1csHf/vY3dezYUX369FFSUpJOnz7t2Mb10jjcmrsA/Lr93//7f3X27Fmn/1AlqUuXLjpw4EAzVYXmMmTIEK1Zs0Y9evRQfn6+nn32WV1//fX6+uuvVVBQoNatW8vX19dpny5duqigoECSVFBQUOO1dGEbfr0u/P7W9Pv/0+ujc+fOTtvd3Nzk5+fnNCY0NLTaHBe2tW/f/orUj+YxZswYjR8/XqGhoTp8+LDmzp2rG2+8Uenp6WrZsiXXzFXs3LlzeuKJJzRixAj16dNHkhrt76HaxhQXF+vMmTNq06bNlTglXEE1XS+SdNdddyk4OFiBgYH68ssvNXv2bB08eFAbNmyQxPXSWAisAJrMjTfe6Ph13759NWTIEAUHB2v9+vX8gQyg0U2cONHx66ioKPXt21fdu3eX3W7XDTfc0IyVobklJCTo66+/dnqPAlCb2q6Xnz7vHhUVpYCAAN1www06fPiwunfv3tRl/mpxSzCuqI4dO6ply5bV3rD3448/yt/fv5mqgqvw9fVVZGSkcnJy5O/vr4qKCp08edJpzE+vFX9//xqvpQvb8Ot14fe3rj9L/P39q73MraqqSoWFhVxDkCSFhYWpY8eOysnJkcQ1c7V69NFH9fHHH8tms6lr166O/sb6e6i2Md7e3vzj7C9QbddLTYYMGSJJTn/GcL1cPgIrrqjWrVtr4MCBSktLc/SdO3dOaWlpGjZsWDNWBldw6tQpHT58WAEBARo4cKBatWrldK0cPHhQeXl5jmtl2LBh+uqrr5z+B3Pr1q3y9vZWr169mrx+NJ3Q0FD5+/s7XR/FxcXKyMhwuj5Onjypzz//3DHmk08+0blz5xz/EzFs2DBt375dlZWVjjFbt25Vjx49uLXzKvDDDz/o+PHjCggIkMQ1c7UxDEOPPvqoNm7cqE8++aTard6N9ffQsGHDnOa4MIb/7/lludj1UpOsrCxJcvozhuulETT3W5/w67d27VrD3d3dWLNmjbF//37joYceMnx9fZ3emIarQ2JiomG3243vv//e2LlzpxEbG2t07NjROHbsmGEYhvHII48Y3bp1Mz755BNj3759xrBhw4xhw4Y59q+qqjL69OljjB492sjKyjJSU1ONTp06GUlJSc11SmhEJSUlxhdffGF88cUXhiTjpZdeMr744gvj3//+t2EYhrF48WLD19fX+Oijj4wvv/zSuOWWW4zQ0FDjzJkzjjnGjBljDBgwwMjIyDB27NhhREREGJMmTXJsP3nypNGlSxfjnnvuMb7++mtj7dq1hqenp/HGG280+fni8tV1zZSUlBgzZ8400tPTje+//97Ytm2bce211xoRERFGWVmZYw6umavH7373O8PHx8ew2+1Gfn6+o50+fdoxpjH+Hvruu+8MT09PY9asWUZ2draRnJxstGzZ0khNTW3S88Xludj1kpOTYyxYsMDYt2+f8f333xsfffSRERYWZkRHRzvm4HppHARWNInly5cb3bp1M1q3bm0MHjzY2L17d3OXhGZw5513GgEBAUbr1q2NoKAg48477zRycnIc28+cOWNMmzbNaN++veHp6WnceuutRn5+vtMcubm5xo033mi0adPG6Nixo5GYmGhUVlY29angCrDZbIakau2+++4zDOP8V9vMmzfP6NKli+Hu7m7ccMMNxsGDB53mOH78uDFp0iTDy8vL8Pb2Nu6//36jpKTEacy//vUvY+TIkYa7u7sRFBRkLF68uKlOEY2srmvm9OnTxujRo41OnToZrVq1MoKDg40HH3yw2j+Wcs1cPWq6ViQZb775pmNMY/09ZLPZjP79+xutW7c2wsLCnI6BX4aLXS95eXlGdHS04efnZ7i7uxvh4eHGrFmzjKKiIqd5uF4un8kwDKPp1nMBAAAAAKgfnmEFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAIrAABosIKCAk2fPl1hYWFyd3eX2WzW2LFjtWXLFnXs2FGLFy+ucb/nnntOXbp0UWVlpdasWSOTyVSteXh4NPHZAABclVtzFwAAAH5ZcnNzNWLECPn6+mrp0qWKiopSZWWltmzZoscff1x333233nzzTc2ZM8dpP8MwtGbNGt17771q1aqVJMnb21sHDx50GmcymZrsXAAAro3ACgAAGmTatGkymUzas2eP2rZt6+jv3bu34uPjdeTIEb3yyivasWOHRo4c6dj+6aef6rvvvtPUqVMdfSaTSf7+/rUe64MPPtCzzz6rnJwceXp6asCAAfroo4+cjgsA+PXilmAAAFBvhYWFSk1NVUJCQo2h0dfXV1FRURo0aJBWr17ttO3NN9/U8OHD1bNnz3odKz8/X5MmTVJ8fLyys7Nlt9s1fvx4GYbRKOcCAHB9BFYAAFBvOTk5MgzjoqFz6tSpev/993Xq1ClJUklJiT744APFx8c7jSsqKpKXl5dTu/HGGyWdD6xVVVUaP368QkJCFBUVpWnTpsnLy+vKnBwAwOUQWAEAQL3Vd3Vz0qRJOnv2rNavXy9JWrdunVq0aKE777zTaVy7du2UlZXl1P7yl79Ikvr166cbbrhBUVFRmjBhglauXKkTJ0407gkBAFwagRUAANRbRESETCaTDhw4UOc4b29v3X777XrzzTclnb8d+I477qi2OtqiRQuFh4c7taCgIElSy5YttXXrVv3zn/9Ur169tHz5cvXo0UPff//9lTk5AIDLIbACAIB68/PzU1xcnJKTk1VaWlpt+8mTJx2/njp1qnbs2KGPP/5Yu3btcnrZUn2ZTCaNGDFCzz77rL744gu1bt1aGzduvJxTAAD8gvCWYAAA0CDJyckaMWKEBg8erAULFqhv376qqqrS1q1blZKSouzsbElSdHS0wsPDde+996pnz54aPnx4tbkMw1BBQUG1/s6dO2vv3r1KS0vT6NGj1blzZ2VkZOi///2vrrnmmit+jgAA10BgBQAADRIWFqbMzEw9//zzSkxMVH5+vjp16qSBAwcqJSXFMc5kMik+Pl5z585VUlJSjXMVFxcrICCgWn9+fr68vb21fft2vfzyyyouLlZwcLCWLVvmeCkTAODXz2TwbngAAAAAgAviGVYAAAAAgEsisAIAAAAAXBKBFQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JL+PytH1kaZDtKvAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -672,10 +672,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:49.299117Z",
-     "iopub.status.busy": "2024-09-13T08:23:49.298736Z",
-     "iopub.status.idle": "2024-09-13T08:23:49.309268Z",
-     "shell.execute_reply": "2024-09-13T08:23:49.308785Z"
+     "iopub.execute_input": "2025-02-02T04:22:47.620080Z",
+     "iopub.status.busy": "2025-02-02T04:22:47.619904Z",
+     "iopub.status.idle": "2025-02-02T04:22:47.630336Z",
+     "shell.execute_reply": "2025-02-02T04:22:47.629893Z"
     },
     "tags": [
      "remove-input"
@@ -685,7 +685,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_ebc08051_4189_4186_bceb_d48df3735f50\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_32119eb9_7af6_4dd3_a70b_14011021c7bb\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -695,7 +695,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -786,24 +785,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_32119eb9_7af6_4dd3_a70b_14011021c7bb:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_ebc08051_4189_4186_bceb_d48df3735f50:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 6516, 30.0], [\"security-advisories@github.com\", 1067, 5.0], [\"secure@microsoft.com\", 871, 4.0], [\"product-security@qualcomm.com\", 833, 4.0], [\"contact@wpscan.com\", 747, 3.0], [\"product-security@apple.com\", 710, 3.0], [\"psirt@us.ibm.com\", 698, 3.0], [\"secalert_us@oracle.com\", 586, 3.0], [\"ykramarz@cisco.com\", 586, 3.0], [\"secalert@redhat.com\", 553, 3.0], [\"security@android.com\", 532, 2.0], [\"psirt@adobe.com\", 431, 2.0], [\"secure@intel.com\", 409, 2.0], [\"chrome-cve-admin@google.com\", 382, 2.0], [\"psirt@huawei.com\", 327, 1.0], [\"ics-cert@hq.dhs.gov\", 308, 1.0], [\"productcert@siemens.com\", 300, 1.0], [\"talos-cna@cisco.com\", 273, 1.0], [\"vultures@jpcert.or.jp\", 242, 1.0], [\"zdi-disclosures@trendmicro.com\", 218, 1.0], [\"cna@sap.com\", 198, 1.0], [\"mobile.security@samsung.com\", 198, 1.0], [\"security@apache.org\", 189, 1.0], [\"report@snyk.io\", 188, 1.0], [\"security-alert@hpe.com\", 183, 1.0], [\"cve@gitlab.com\", 181, 1.0], [\"security_alert@emc.com\", 177, 1.0], [\"security@huntr.dev\", 169, 1.0], [\"twcert@cert.org.tw\", 165, 1.0], [\"security@wordfence.com\", 155, 1.0], [\"security@mozilla.org\", 148, 1.0], [\"support@hackerone.com\", 137, 1.0], [\"sirt@juniper.net\", 134, 1.0], [\"psirt@fortinet.com\", 126, 1.0], [\"psirt@nvidia.com\", 121, 1.0], [\"vulnerabilitylab@mend.io\", 119, 1.0], [\"vulnreport@tenable.com\", 112, 1.0], [\"psirt@amd.com\", 111, 1.0], [\"jenkinsci-cert@googlegroups.com\", 103, 0.0], [\"CybersecurityCOE@eaton.com\", 98, 0.0], [\"psirt@lenovo.com\", 96, 0.0], [\"security@pivotal.io\", 92, 0.0], [\"info@cert.vde.com\", 89, 0.0], [\"cybersecurity@se.com\", 87, 0.0], [\"security@vmware.com\", 87, 0.0], [\"f5sirt@f5.com\", 82, 0.0], [\"security@trendmicro.com\", 73, 0.0], [\"security@atlassian.com\", 71, 0.0], [\"psirt@zte.com.cn\", 60, 0.0], [\"cve-requests@bitdefender.com\", 60, 0.0], [\"security@qnapsecurity.com.tw\", 54, 0.0], [\"trellixpsirt@trellix.com\", 53, 0.0], [\"vuln@krcert.or.kr\", 50, 0.0], [\"security@teradici.com\", 48, 0.0], [\"security@opentext.com\", 37, 0.0], [\"psirt@paloaltonetworks.com\", 37, 0.0], [\"security@synology.com\", 33, 0.0], [\"security-alert@netapp.com\", 33, 0.0], [\"psirt@solarwinds.com\", 33, 0.0], [\"emo@eclipse.org\", 33, 0.0], [\"PSIRT@sonicwall.com\", 32, 0.0], [\"vulnerabilities@zephyrproject.org\", 32, 0.0], [\"security@ubuntu.com\", 31, 0.0], [\"security@tibco.com\", 31, 0.0], [\"audit@patchstack.com\", 30, 0.0], [\"securities@openeuler.org\", 29, 0.0], [\"cve-assign@fb.com\", 28, 0.0], [\"cve@rapid7.com\", 28, 0.0], [\"psirt@bosch.com\", 27, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 26, 0.0], [\"psirt@autodesk.com\", 25, 0.0], [\"patrick@puiterwijk.org\", 25, 0.0], [\"security@joomla.org\", 24, 0.0], [\"disclosures@gallagher.com\", 24, 0.0], [\"security@xen.org\", 24, 0.0], [\"meissner@suse.de\", 23, 0.0], [\"psirt@esri.com\", 22, 0.0], [\"secteam@freebsd.org\", 21, 0.0], [\"security@vaadin.com\", 21, 0.0], [\"security@zoom.us\", 21, 0.0], [\"cve-coordination@incibe.es\", 20, 0.0], [\"cve-notifications-us@f-secure.com\", 20, 0.0], [\"sec@hillstonenet.com\", 20, 0.0], [\"bressers@elastic.co\", 20, 0.0], [\"security@otrs.com\", 18, 0.0], [\"cve-coordination@google.com\", 18, 0.0], [\"vulnerability@ncsc.ch\", 17, 0.0], [\"reefs@jfrog.com\", 17, 0.0], [\"sirt@brocade.com\", 16, 0.0], [\"VulnerabilityReporting@secomea.com\", 16, 0.0], [\"productsecurity@jci.com\", 15, 0.0], [\"securityalerts@avaya.com\", 15, 0.0], [\"openssl-security@openssl.org\", 14, 0.0], [\"cna@mongodb.com\", 14, 0.0], [\"hp-security-alert@hp.com\", 14, 0.0], [\"security@debian.org\", 13, 0.0], [\"security@xiaomi.com\", 13, 0.0], [\"psirt@hcl.com\", 12, 0.0], [\"jordan@liggitt.net\", 12, 0.0], [\"security-officer@isc.org\", 12, 0.0], [\"vulnerability@kaspersky.com\", 12, 0.0], [\"product-cna@github.com\", 11, 0.0], [\"psirt-info@cyber.jp.nec.com\", 10, 0.0], [\"cybersecurity@hitachienergy.com\", 9, 0.0], [\"security@zyxel.com.tw\", 9, 0.0], [\"security@puppet.com\", 9, 0.0], [\"security@openvpn.net\", 9, 0.0], [\"secure@blackberry.com\", 9, 0.0], [\"cna@cyber.gov.il\", 9, 0.0], [\"cret@cert.org\", 9, 0.0], [\"security@octopus.com\", 8, 0.0], [\"security-alert@sophos.com\", 8, 0.0], [\"vuln@vdoo.com\", 8, 0.0], [\"cna@cloudflare.com\", 8, 0.0], [\"security@php.net\", 7, 0.0], [\"cve@checkpoint.com\", 7, 0.0], [\"disclosure@synopsys.com\", 7, 0.0], [\"security@acronis.com\", 7, 0.0], [\"security@craftersoftware.com\", 7, 0.0], [\"psirt@arista.com\", 7, 0.0], [\"mlhess@drupal.org\", 7, 0.0], [\"cybersecurity@ch.abb.com\", 7, 0.0], [\"security@mautic.org\", 6, 0.0], [\"disclose@cybersecurityworks.com\", 6, 0.0], [\"security@salesforce.com\", 5, 0.0], [\"iletisim@usom.gov.tr\", 5, 0.0], [\"responsibledisclosure@mattermost.com\", 5, 0.0], [\"dl_cve@linecorp.com\", 5, 0.0], [\"infosec@edk2.groups.io\", 5, 0.0], [\"responsible-disclosure@pingidentity.com\", 4, 0.0], [\"security@fidelissecurity.com\", 4, 0.0], [\"psirt@sick.de\", 4, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 4, 0.0], [\"sep@nlnetlabs.nl\", 4, 0.0], [\"cve@zscaler.com\", 4, 0.0], [\"security@documentfoundation.org\", 4, 0.0], [\"product-security@axis.com\", 4, 0.0], [\"browser-security@yandex-team.ru\", 3, 0.0], [\"security@snowsoftware.com\", 3, 0.0], [\"info@appcheck-ng.com\", 3, 0.0], [\"cve_disclosure@tech.gov.sg\", 3, 0.0], [\"security@oppo.com\", 3, 0.0], [\"psirt@thalesgroup.com\", 3, 0.0], [\"cve@navercorp.com\", 3, 0.0], [\"vuln@ca.com\", 2, 0.0], [\"security-report@netflix.com\", 2, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 2, 0.0], [\"cybersecurity@dahuatech.com\", 2, 0.0], [\"prodsec@nozominetworks.com\", 2, 0.0], [\"security@vivo.com\", 2, 0.0], [\"security@pega.com\", 2, 0.0], [\"secure@symantec.com\", 2, 0.0], [\"psirt@forcepoint.com\", 2, 0.0], [\"security@opera.com\", 1, 0.0], [\"security@360.cn\", 1, 0.0], [\"cert@airbus.com\", 1, 0.0], [\"security@deepsurface.com\", 1, 0.0], [\"hsrc@hikvision.com\", 1, 0.0], [\"alibaba-cna@list.alibaba-inc.com\", 1, 0.0], [\"security@replicated.com\", 1, 0.0], [\"security@devolutions.net\", 1, 0.0], [\"security@eset.com\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 6516, 30.0], [\"security-advisories@github.com\", 1067, 5.0], [\"secure@microsoft.com\", 871, 4.0], [\"product-security@qualcomm.com\", 833, 4.0], [\"contact@wpscan.com\", 747, 3.0], [\"product-security@apple.com\", 710, 3.0], [\"psirt@us.ibm.com\", 698, 3.0], [\"secalert_us@oracle.com\", 586, 3.0], [\"psirt@cisco.com\", 586, 3.0], [\"secalert@redhat.com\", 553, 3.0], [\"security@android.com\", 532, 2.0], [\"psirt@adobe.com\", 431, 2.0], [\"secure@intel.com\", 409, 2.0], [\"chrome-cve-admin@google.com\", 382, 2.0], [\"psirt@huawei.com\", 327, 1.0], [\"ics-cert@hq.dhs.gov\", 308, 1.0], [\"productcert@siemens.com\", 300, 1.0], [\"talos-cna@cisco.com\", 273, 1.0], [\"vultures@jpcert.or.jp\", 242, 1.0], [\"zdi-disclosures@trendmicro.com\", 218, 1.0], [\"cna@sap.com\", 198, 1.0], [\"mobile.security@samsung.com\", 198, 1.0], [\"security@apache.org\", 189, 1.0], [\"report@snyk.io\", 188, 1.0], [\"security-alert@hpe.com\", 183, 1.0], [\"cve@gitlab.com\", 181, 1.0], [\"security_alert@emc.com\", 177, 1.0], [\"security@huntr.dev\", 169, 1.0], [\"twcert@cert.org.tw\", 165, 1.0], [\"security@wordfence.com\", 155, 1.0], [\"security@mozilla.org\", 148, 1.0], [\"support@hackerone.com\", 137, 1.0], [\"sirt@juniper.net\", 134, 1.0], [\"psirt@fortinet.com\", 126, 1.0], [\"psirt@nvidia.com\", 121, 1.0], [\"vulnerabilitylab@mend.io\", 119, 1.0], [\"vulnreport@tenable.com\", 112, 1.0], [\"psirt@amd.com\", 111, 1.0], [\"jenkinsci-cert@googlegroups.com\", 103, 0.0], [\"CybersecurityCOE@eaton.com\", 98, 0.0], [\"psirt@lenovo.com\", 96, 0.0], [\"security@pivotal.io\", 92, 0.0], [\"info@cert.vde.com\", 89, 0.0], [\"cybersecurity@se.com\", 87, 0.0], [\"security@vmware.com\", 87, 0.0], [\"f5sirt@f5.com\", 82, 0.0], [\"security@trendmicro.com\", 73, 0.0], [\"security@atlassian.com\", 71, 0.0], [\"psirt@zte.com.cn\", 60, 0.0], [\"cve-requests@bitdefender.com\", 60, 0.0], [\"security@qnapsecurity.com.tw\", 54, 0.0], [\"trellixpsirt@trellix.com\", 53, 0.0], [\"vuln@krcert.or.kr\", 50, 0.0], [\"security@teradici.com\", 48, 0.0], [\"security@opentext.com\", 37, 0.0], [\"psirt@paloaltonetworks.com\", 37, 0.0], [\"security@synology.com\", 33, 0.0], [\"security-alert@netapp.com\", 33, 0.0], [\"psirt@solarwinds.com\", 33, 0.0], [\"emo@eclipse.org\", 33, 0.0], [\"PSIRT@sonicwall.com\", 32, 0.0], [\"vulnerabilities@zephyrproject.org\", 32, 0.0], [\"security@ubuntu.com\", 31, 0.0], [\"security@tibco.com\", 31, 0.0], [\"audit@patchstack.com\", 30, 0.0], [\"securities@openeuler.org\", 29, 0.0], [\"cve-assign@fb.com\", 28, 0.0], [\"cve@rapid7.com\", 28, 0.0], [\"psirt@bosch.com\", 27, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 26, 0.0], [\"psirt@autodesk.com\", 25, 0.0], [\"patrick@puiterwijk.org\", 25, 0.0], [\"security@joomla.org\", 24, 0.0], [\"disclosures@gallagher.com\", 24, 0.0], [\"security@xen.org\", 24, 0.0], [\"meissner@suse.de\", 23, 0.0], [\"psirt@esri.com\", 22, 0.0], [\"secteam@freebsd.org\", 21, 0.0], [\"security@vaadin.com\", 21, 0.0], [\"security@zoom.us\", 21, 0.0], [\"cve-coordination@incibe.es\", 20, 0.0], [\"cve-notifications-us@f-secure.com\", 20, 0.0], [\"sec@hillstonenet.com\", 20, 0.0], [\"bressers@elastic.co\", 20, 0.0], [\"security@otrs.com\", 18, 0.0], [\"cve-coordination@google.com\", 18, 0.0], [\"vulnerability@ncsc.ch\", 17, 0.0], [\"reefs@jfrog.com\", 17, 0.0], [\"sirt@brocade.com\", 16, 0.0], [\"VulnerabilityReporting@secomea.com\", 16, 0.0], [\"productsecurity@jci.com\", 15, 0.0], [\"securityalerts@avaya.com\", 15, 0.0], [\"openssl-security@openssl.org\", 14, 0.0], [\"cna@mongodb.com\", 14, 0.0], [\"hp-security-alert@hp.com\", 14, 0.0], [\"security@debian.org\", 13, 0.0], [\"security@xiaomi.com\", 13, 0.0], [\"psirt@hcl.com\", 12, 0.0], [\"jordan@liggitt.net\", 12, 0.0], [\"security-officer@isc.org\", 12, 0.0], [\"vulnerability@kaspersky.com\", 12, 0.0], [\"product-cna@github.com\", 11, 0.0], [\"psirt-info@cyber.jp.nec.com\", 10, 0.0], [\"cybersecurity@hitachienergy.com\", 9, 0.0], [\"security@zyxel.com.tw\", 9, 0.0], [\"security@puppet.com\", 9, 0.0], [\"security@openvpn.net\", 9, 0.0], [\"secure@blackberry.com\", 9, 0.0], [\"cna@cyber.gov.il\", 9, 0.0], [\"cret@cert.org\", 9, 0.0], [\"security@octopus.com\", 8, 0.0], [\"security-alert@sophos.com\", 8, 0.0], [\"vuln@vdoo.com\", 8, 0.0], [\"cna@cloudflare.com\", 8, 0.0], [\"security@php.net\", 7, 0.0], [\"cve@checkpoint.com\", 7, 0.0], [\"disclosure@synopsys.com\", 7, 0.0], [\"security@acronis.com\", 7, 0.0], [\"security@craftersoftware.com\", 7, 0.0], [\"psirt@arista.com\", 7, 0.0], [\"mlhess@drupal.org\", 7, 0.0], [\"cybersecurity@ch.abb.com\", 7, 0.0], [\"security@mautic.org\", 6, 0.0], [\"disclose@cybersecurityworks.com\", 6, 0.0], [\"security@salesforce.com\", 5, 0.0], [\"iletisim@usom.gov.tr\", 5, 0.0], [\"responsibledisclosure@mattermost.com\", 5, 0.0], [\"dl_cve@linecorp.com\", 5, 0.0], [\"infosec@edk2.groups.io\", 5, 0.0], [\"responsible-disclosure@pingidentity.com\", 4, 0.0], [\"security@fidelissecurity.com\", 4, 0.0], [\"psirt@sick.de\", 4, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 4, 0.0], [\"sep@nlnetlabs.nl\", 4, 0.0], [\"cve@zscaler.com\", 4, 0.0], [\"security@documentfoundation.org\", 4, 0.0], [\"product-security@axis.com\", 4, 0.0], [\"browser-security@yandex-team.ru\", 3, 0.0], [\"security@snowsoftware.com\", 3, 0.0], [\"info@appcheck-ng.com\", 3, 0.0], [\"cve_disclosure@tech.gov.sg\", 3, 0.0], [\"security@oppo.com\", 3, 0.0], [\"psirt@thalesgroup.com\", 3, 0.0], [\"cve@navercorp.com\", 3, 0.0], [\"vuln@ca.com\", 2, 0.0], [\"security-report@netflix.com\", 2, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 2, 0.0], [\"cybersecurity@dahuatech.com\", 2, 0.0], [\"prodsec@nozominetworks.com\", 2, 0.0], [\"security@vivo.com\", 2, 0.0], [\"security@pega.com\", 2, 0.0], [\"secure@symantec.com\", 2, 0.0], [\"psirt@forcepoint.com\", 2, 0.0], [\"security@opera.com\", 1, 0.0], [\"security@360.cn\", 1, 0.0], [\"cert@airbus.com\", 1, 0.0], [\"security@deepsurface.com\", 1, 0.0], [\"hsrc@hikvision.com\", 1, 0.0], [\"alibaba-cna@list.alibaba-inc.com\", 1, 0.0], [\"security@replicated.com\", 1, 0.0], [\"security@devolutions.net\", 1, 0.0], [\"security@eset.com\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -838,10 +836,10 @@
    "id": "83de26a8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:49.311495Z",
-     "iopub.status.busy": "2024-09-13T08:23:49.311146Z",
-     "iopub.status.idle": "2024-09-13T08:23:49.317759Z",
-     "shell.execute_reply": "2024-09-13T08:23:49.317266Z"
+     "iopub.execute_input": "2025-02-02T04:22:47.631950Z",
+     "iopub.status.busy": "2025-02-02T04:22:47.631794Z",
+     "iopub.status.idle": "2025-02-02T04:22:47.638080Z",
+     "shell.execute_reply": "2025-02-02T04:22:47.637594Z"
     },
     "tags": [
      "remove-input"
@@ -851,7 +849,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_4f468985_4c75_4848_b7de_c754c311db95\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_bdca453b_495c_4937_bd12_c84dc1e2066c\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -860,7 +858,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -951,24 +948,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_bdca453b_495c_4937_bd12_c84dc1e2066c:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_4f468985_4c75_4848_b7de_c754c311db95:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"NVD-CWE-noinfo\", 2774], [\"CWE-79\", 2618], [\"Missing_Data\", 1822], [\"CWE-787\", 1447], [\"NVD-CWE-Other\", 773], [\"CWE-89\", 727], [\"CWE-125\", 713], [\"CWE-22\", 529], [\"CWE-416\", 525], [\"CWE-352\", 462], [\"CWE-78\", 459], [\"CWE-20\", 456], [\"CWE-120\", 387], [\"CWE-476\", 355], [\"CWE-269\", 296], [\"CWE-287\", 282], [\"CWE-434\", 280], [\"CWE-77\", 273], [\"CWE-863\", 266], [\"CWE-862\", 229], [\"CWE-190\", 228], [\"CWE-119\", 227], [\"CWE-502\", 200], [\"CWE-200\", 181], [\"CWE-918\", 173], [\"CWE-400\", 168], [\"CWE-798\", 158], [\"CWE-362\", 151], [\"CWE-276\", 149], [\"CWE-732\", 148], [\"CWE-306\", 144], [\"CWE-74\", 141], [\"CWE-601\", 130], [\"CWE-427\", 122], [\"CWE-295\", 122], [\"CWE-94\", 121], [\"CWE-312\", 121], [\"CWE-522\", 117], [\"CWE-611\", 117], [\"CWE-401\", 103], [\"CWE-770\", 101], [\"CWE-668\", 100], [\"CWE-59\", 91], [\"CWE-203\", 87], [\"CWE-319\", 85], [\"CWE-532\", 81], [\"CWE-755\", 80], [\"CWE-369\", 78], [\"CWE-617\", 76], [\"CWE-327\", 75], [\"CWE-415\", 74], [\"CWE-835\", 73], [\"CWE-843\", 71], [\"CWE-209\", 70], [\"CWE-639\", 70], [\"CWE-908\", 67], [\"CWE-121\", 67], [\"CWE-347\", 67], [\"CWE-1021\", 66], [\"CWE-1321\", 66], [\"CWE-754\", 54], [\"CWE-613\", 53], [\"CWE-307\", 49], [\"CWE-122\", 45], [\"CWE-330\", 45], [\"CWE-345\", 45], [\"CWE-444\", 42], [\"CWE-326\", 41], [\"CWE-129\", 40], [\"CWE-290\", 39], [\"CWE-665\", 38], [\"CWE-824\", 38], [\"CWE-552\", 37], [\"CWE-674\", 36], [\"CWE-346\", 35], [\"CWE-116\", 34], [\"CWE-191\", 31], [\"CWE-922\", 30], [\"CWE-1236\", 28], [\"CWE-610\", 28], [\"CWE-281\", 28], [\"CWE-367\", 26], [\"CWE-88\", 26], [\"CWE-829\", 26], [\"CWE-1333\", 25], [\"CWE-697\", 24], [\"CWE-384\", 21], [\"CWE-681\", 21], [\"CWE-252\", 20], [\"CWE-1188\", 20], [\"CWE-426\", 20], [\"CWE-909\", 20], [\"CWE-640\", 19], [\"CWE-428\", 18], [\"CWE-425\", 18], [\"CWE-521\", 18], [\"CWE-404\", 17], [\"CWE-916\", 17], [\"CWE-1284\", 16], [\"CWE-662\", 16], [\"CWE-772\", 16], [\"CWE-667\", 16], [\"CWE-294\", 15], [\"CWE-459\", 15], [\"CWE-763\", 14], [\"CWE-91\", 14], [\"CWE-338\", 14], [\"CWE-134\", 14], [\"CWE-131\", 14], [\"CWE-311\", 14], [\"CWE-670\", 13], [\"CWE-834\", 13], [\"CWE-706\", 12], [\"CWE-354\", 12], [\"CWE-266\", 10], [\"CWE-212\", 10], [\"CWE-913\", 10], [\"CWE-494\", 9], [\"CWE-682\", 9], [\"CWE-669\", 9], [\"CWE-331\", 9], [\"CWE-704\", 8], [\"CWE-284\", 8], [\"CWE-377\", 8], [\"CWE-776\", 8], [\"CWE-822\", 7], [\"CWE-472\", 7], [\"CWE-288\", 6], [\"CWE-321\", 6], [\"CWE-799\", 6], [\"CWE-379\", 6], [\"CWE-178\", 6], [\"CWE-193\", 6], [\"CWE-436\", 5], [\"CWE-788\", 5], [\"CWE-170\", 5], [\"CWE-917\", 5], [\"CWE-123\", 5], [\"CWE-184\", 4], [\"CWE-250\", 4], [\"CWE-335\", 4], [\"CWE-378\", 4], [\"CWE-201\", 4], [\"CWE-23\", 3], [\"CWE-565\", 3], [\"CWE-489\", 3], [\"CWE-497\", 3], [\"CWE-924\", 3], [\"CWE-259\", 3], [\"CWE-693\", 3], [\"CWE-471\", 3], [\"CWE-548\", 3], [\"CWE-385\", 2], [\"CWE-708\", 2], [\"CWE-93\", 2], [\"CWE-359\", 2], [\"CWE-126\", 2], [\"CWE-470\", 2], [\"CWE-285\", 2], [\"CWE-789\", 2], [\"CWE-358\", 2], [\"CWE-457\", 2], [\"CWE-657\", 2], [\"CWE-202\", 2], [\"CWE-407\", 2], [\"CWE-277\", 2], [\"CWE-353\", 2], [\"CWE-73\", 2], [\"CWE-248\", 2], [\"CWE-805\", 2], [\"CWE-538\", 1], [\"CWE-507\", 1], [\"CWE-441\", 1], [\"CWE-271\", 1], [\"CWE-1076\", 1], [\"CWE-305\", 1], [\"CWE-644\", 1], [\"CWE-64\", 1], [\"CWE-405\", 1], [\"CWE-573\", 1], [\"CWE-112\", 1], [\"CWE-115\", 1], [\"CWE-406\", 1], [\"CWE-567\", 1], [\"CWE-539\", 1], [\"CWE-257\", 1], [\"CWE-270\", 1], [\"CWE-540\", 1], [\"CWE-36\", 1], [\"CWE-80\", 1], [\"CWE-527\", 1], [\"CWE-302\", 1], [\"CWE-297\", 1], [\"CWE-672\", 1], [\"CWE-649\", 1], [\"CWE-710\", 1], [\"CWE-228\", 1], [\"CWE-90\", 1], [\"CWE-364\", 1], [\"CWE-807\", 1], [\"CWE-778\", 1], [\"CWE-323\", 1], [\"CWE-283\", 1], [\"CWE-598\", 1], [\"CWE-680\", 1], [\"CWE-75\", 1], [\"CWE-267\", 1], [\"CWE-620\", 1], [\"CWE-95\", 1], [\"CWE-315\", 1], [\"CWE-1004\", 1], [\"CWE-350\", 1], [\"CWE-61\", 1], [\"CWE-124\", 1], [\"CWE-1278\", 1], [\"CWE-1329\", 1], [\"CWE-194\", 1], [\"CWE-15\", 1], [\"CWE-304\", 1], [\"CWE-242\", 1], [\"CWE-240\", 1], [\"CWE-525\", 1], [\"CWE-273\", 1], [\"CWE-757\", 1], [\"CWE-912\", 1]];\n",
+       "        const data = [[\"CWE-79\", 2626], [\"NVD-CWE-noinfo\", 2615], [\"Missing_Data\", 1822], [\"CWE-787\", 1144], [\"CWE-89\", 727], [\"CWE-125\", 679], [\"CWE-20\", 609], [\"CWE-416\", 529], [\"CWE-22\", 477], [\"NVD-CWE-Other\", 434], [\"CWE-78\", 423], [\"CWE-352\", 411], [\"CWE-120\", 403], [\"CWE-476\", 351], [\"CWE-269\", 309], [\"CWE-200\", 298], [\"CWE-77\", 275], [\"CWE-434\", 272], [\"CWE-287\", 266], [\"CWE-863\", 241], [\"CWE-400\", 218], [\"CWE-190\", 211], [\"CWE-862\", 206], [\"CWE-119\", 201], [\"CWE-121\", 196], [\"CWE-502\", 192], [\"CWE-918\", 172], [\"CWE-74\", 154], [\"CWE-284\", 149], [\"CWE-362\", 147], [\"CWE-276\", 141], [\"CWE-732\", 139], [\"CWE-798\", 138], [\"CWE-94\", 137], [\"CWE-306\", 125], [\"CWE-122\", 125], [\"CWE-601\", 125], [\"CWE-611\", 118], [\"CWE-312\", 112], [\"CWE-295\", 110], [\"CWE-427\", 110], [\"CWE-522\", 100], [\"CWE-285\", 88], [\"CWE-401\", 85], [\"CWE-770\", 82], [\"CWE-319\", 82], [\"CWE-59\", 81], [\"CWE-788\", 78], [\"CWE-369\", 78], [\"CWE-532\", 74], [\"CWE-617\", 72], [\"CWE-327\", 72], [\"CWE-203\", 71], [\"CWE-415\", 70], [\"CWE-843\", 69], [\"CWE-668\", 68], [\"CWE-347\", 67], [\"CWE-209\", 65], [\"CWE-835\", 64], [\"CWE-1021\", 64], [\"CWE-908\", 61], [\"CWE-755\", 60], [\"CWE-1321\", 59], [\"CWE-639\", 58], [\"CWE-613\", 53], [\"CWE-754\", 49], [\"CWE-307\", 49], [\"CWE-345\", 43], [\"CWE-665\", 43], [\"CWE-444\", 42], [\"CWE-824\", 40], [\"CWE-290\", 39], [\"CWE-129\", 38], [\"CWE-326\", 37], [\"CWE-680\", 36], [\"CWE-552\", 36], [\"CWE-674\", 34], [\"CWE-330\", 34], [\"CWE-346\", 31], [\"CWE-1333\", 30], [\"CWE-922\", 30], [\"CWE-191\", 30], [\"CWE-367\", 27], [\"CWE-116\", 27], [\"CWE-281\", 27], [\"CWE-1236\", 26], [\"CWE-131\", 24], [\"CWE-610\", 23], [\"CWE-88\", 23], [\"CWE-384\", 21], [\"CWE-23\", 21], [\"CWE-426\", 21], [\"CWE-829\", 20], [\"CWE-266\", 19], [\"CWE-697\", 19], [\"CWE-252\", 18], [\"CWE-909\", 18], [\"CWE-428\", 18], [\"CWE-126\", 17], [\"CWE-250\", 17], [\"CWE-640\", 17], [\"CWE-916\", 17], [\"CWE-681\", 17], [\"CWE-667\", 16], [\"CWE-703\", 16], [\"CWE-425\", 16], [\"CWE-80\", 16], [\"CWE-311\", 16], [\"CWE-1188\", 16], [\"CWE-404\", 15], [\"CWE-294\", 15], [\"CWE-521\", 15], [\"CWE-822\", 15], [\"CWE-288\", 15], [\"CWE-834\", 14], [\"CWE-459\", 14], [\"CWE-264\", 13], [\"CWE-379\", 13], [\"CWE-772\", 13], [\"CWE-670\", 13], [\"CWE-338\", 13], [\"CWE-321\", 13], [\"CWE-706\", 13], [\"CWE-134\", 13], [\"CWE-662\", 13], [\"CWE-378\", 13], [\"CWE-399\", 13], [\"CWE-91\", 13], [\"CWE-259\", 12], [\"CWE-170\", 12], [\"CWE-61\", 11], [\"CWE-693\", 11], [\"CWE-763\", 11], [\"CWE-782\", 10], [\"CWE-1284\", 10], [\"CWE-494\", 10], [\"CWE-377\", 10], [\"CWE-913\", 10], [\"CWE-354\", 10], [\"CWE-682\", 10], [\"CWE-36\", 9], [\"CWE-130\", 9], [\"CWE-704\", 8], [\"CWE-776\", 8], [\"CWE-73\", 8], [\"CWE-331\", 8], [\"CWE-201\", 8], [\"CWE-926\", 8], [\"CWE-823\", 8], [\"CWE-212\", 8], [\"CWE-358\", 7], [\"CWE-16\", 7], [\"CWE-208\", 7], [\"CWE-799\", 7], [\"CWE-255\", 7], [\"CWE-472\", 7], [\"CWE-184\", 7], [\"CWE-256\", 7], [\"CWE-305\", 6], [\"CWE-789\", 6], [\"CWE-441\", 6], [\"CWE-24\", 6], [\"CWE-840\", 6], [\"CWE-353\", 6], [\"CWE-300\", 6], [\"CWE-123\", 5], [\"CWE-178\", 5], [\"CWE-489\", 5], [\"CWE-548\", 5], [\"CWE-359\", 5], [\"CWE-497\", 5], [\"CWE-193\", 5], [\"CWE-280\", 5], [\"CWE-915\", 5], [\"CWE-1004\", 4], [\"CWE-540\", 4], [\"CWE-35\", 4], [\"CWE-257\", 4], [\"CWE-204\", 4], [\"CWE-316\", 4], [\"CWE-248\", 4], [\"CWE-779\", 4], [\"CWE-669\", 4], [\"CWE-117\", 4], [\"CWE-402\", 4], [\"CWE-457\", 4], [\"CWE-241\", 4], [\"CWE-538\", 4], [\"CWE-202\", 3], [\"CWE-159\", 3], [\"CWE-749\", 3], [\"CWE-471\", 3], [\"CWE-805\", 3], [\"CWE-75\", 3], [\"CWE-385\", 3], [\"CWE-93\", 3], [\"CWE-912\", 3], [\"CWE-297\", 3], [\"CWE-924\", 3], [\"CWE-614\", 3], [\"CWE-335\", 3], [\"CWE-277\", 3], [\"CWE-283\", 3], [\"CWE-602\", 3], [\"CWE-115\", 3], [\"CWE-185\", 3], [\"CWE-233\", 3], [\"CWE-565\", 3], [\"CWE-98\", 3], [\"CWE-620\", 3], [\"CWE-917\", 3], [\"CWE-15\", 3], [\"CWE-296\", 3], [\"CWE-590\", 2], [\"CWE-372\", 2], [\"CWE-407\", 2], [\"CWE-1241\", 2], [\"CWE-636\", 2], [\"CWE-194\", 2], [\"CWE-232\", 2], [\"CWE-644\", 2], [\"CWE-350\", 2], [\"CWE-261\", 2], [\"CWE-943\", 2], [\"CWE-325\", 2], [\"CWE-778\", 2], [\"CWE-1295\", 2], [\"CWE-303\", 2], [\"CWE-451\", 2], [\"CWE-90\", 2], [\"CWE-436\", 2], [\"CWE-26\", 2], [\"CWE-598\", 2], [\"CWE-551\", 2], [\"CWE-124\", 2], [\"CWE-1022\", 2], [\"CWE-523\", 2], [\"CWE-807\", 2], [\"CWE-657\", 2], [\"CWE-267\", 2], [\"CWE-183\", 2], [\"CWE-708\", 2], [\"CWE-270\", 2], [\"CWE-1286\", 2], [\"CWE-642\", 2], [\"CWE-112\", 2], [\"CWE-64\", 2], [\"CWE-348\", 2], [\"CWE-302\", 2], [\"CWE-95\", 2], [\"CWE-450\", 1], [\"CWE-794\", 1], [\"CWE-337\", 1], [\"CWE-114\", 1], [\"CWE-342\", 1], [\"CWE-357\", 1], [\"CWE-274\", 1], [\"CWE-320\", 1], [\"CWE-273\", 1], [\"CWE-1023\", 1], [\"CWE-390\", 1], [\"CWE-923\", 1], [\"CWE-260\", 1], [\"CWE-424\", 1], [\"CWE-562\", 1], [\"CWE-1336\", 1], [\"CWE-456\", 1], [\"CWE-690\", 1], [\"CWE-1076\", 1], [\"CWE-196\", 1], [\"CWE-271\", 1], [\"CWE-603\", 1], [\"CWE-410\", 1], [\"CWE-759\", 1], [\"CWE-258\", 1], [\"CWE-1288\", 1], [\"CWE-833\", 1], [\"CWE-563\", 1], [\"CWE-435\", 1], [\"CWE-87\", 1], [\"CWE-1278\", 1], [\"CWE-1329\", 1], [\"CWE-942\", 1], [\"CWE-694\", 1], [\"CWE-96\", 1], [\"CWE-289\", 1], [\"CWE-771\", 1], [\"CWE-597\", 1], [\"CWE-757\", 1], [\"CWE-127\", 1], [\"CWE-304\", 1], [\"CWE-525\", 1], [\"CWE-11\", 1], [\"CWE-210\", 1], [\"CWE-242\", 1], [\"CWE-696\", 1], [\"CWE-81\", 1], [\"CWE-470\", 1], [\"CWE-99\", 1], [\"CWE-534\", 1], [\"CWE-588\", 1], [\"CWE-19\", 1], [\"CWE-368\", 1], [\"CWE-240\", 1], [\"CWE-506\", 1], [\"CWE-1285\", 1], [\"CWE-366\", 1], [\"CWE-830\", 1], [\"CWE-507\", 1], [\"CWE-334\", 1], [\"CWE-431\", 1], [\"CWE-1024\", 1], [\"CWE-1050\", 1], [\"CWE-790\", 1], [\"CWE-406\", 1], [\"CWE-573\", 1], [\"CWE-275\", 1], [\"CWE-405\", 1], [\"CWE-524\", 1], [\"CWE-527\", 1], [\"CWE-1325\", 1], [\"CWE-688\", 1], [\"CWE-141\", 1], [\"CWE-710\", 1], [\"CWE-649\", 1], [\"CWE-340\", 1], [\"CWE-672\", 1], [\"CWE-561\", 1], [\"CWE-228\", 1], [\"CWE-364\", 1], [\"CWE-539\", 1], [\"CWE-567\", 1], [\"CWE-1287\", 1], [\"CWE-172\", 1], [\"CWE-323\", 1], [\"CWE-1027\", 1], [\"CWE-646\", 1], [\"CWE-587\", 1], [\"CWE-286\", 1], [\"CWE-825\", 1], [\"CWE-329\", 1], [\"CWE-474\", 1], [\"CWE-322\", 1], [\"CWE-460\", 1], [\"CWE-664\", 1], [\"CWE-315\", 1], [\"CWE-84\", 1], [\"CWE-27\", 1], [\"CWE-310\", 1], [\"CWE-836\", 1], [\"CWE-940\", 1], [\"CWE-1299\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1009,10 +1005,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
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-     "iopub.execute_input": "2024-09-13T08:23:49.319989Z",
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-     "iopub.status.idle": "2024-09-13T08:23:49.461368Z",
-     "shell.execute_reply": "2024-09-13T08:23:49.460779Z"
+     "iopub.execute_input": "2025-02-02T04:22:47.639739Z",
+     "iopub.status.busy": "2025-02-02T04:22:47.639448Z",
+     "iopub.status.idle": "2025-02-02T04:22:47.848708Z",
+     "shell.execute_reply": "2025-02-02T04:22:47.848044Z"
     },
     "tags": [
      "remove-input"
@@ -1081,10 +1077,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:49.463866Z",
-     "iopub.status.busy": "2024-09-13T08:23:49.463409Z",
-     "iopub.status.idle": "2024-09-13T08:23:49.467442Z",
-     "shell.execute_reply": "2024-09-13T08:23:49.466990Z"
+     "iopub.execute_input": "2025-02-02T04:22:47.850608Z",
+     "iopub.status.busy": "2025-02-02T04:22:47.850412Z",
+     "iopub.status.idle": "2025-02-02T04:22:47.854604Z",
+     "shell.execute_reply": "2025-02-02T04:22:47.854116Z"
     },
     "tags": [
      "remove-input"
@@ -1094,7 +1090,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:23:49.464558**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:22:47.851383**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1126,7 +1122,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVE2022.ipynb b/CVE2022.ipynb
index 9c8ab7efb0..05a10aaff4 100644
--- a/CVE2022.ipynb
+++ b/CVE2022.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:54.076890Z",
-     "iopub.status.busy": "2024-09-13T08:23:54.076467Z",
-     "iopub.status.idle": "2024-09-13T08:23:54.718916Z",
-     "shell.execute_reply": "2024-09-13T08:23:54.718394Z"
+     "iopub.execute_input": "2025-02-02T04:22:52.727254Z",
+     "iopub.status.busy": "2025-02-02T04:22:52.727078Z",
+     "iopub.status.idle": "2025-02-02T04:22:53.373976Z",
+     "shell.execute_reply": "2025-02-02T04:22:53.373387Z"
     },
     "tags": [
      "remove-cell"
@@ -101,10 +101,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:23:54.721332Z",
-     "iopub.status.busy": "2024-09-13T08:23:54.720935Z",
-     "iopub.status.idle": "2024-09-13T08:24:14.410610Z",
-     "shell.execute_reply": "2024-09-13T08:24:14.410026Z"
+     "iopub.execute_input": "2025-02-02T04:22:53.375871Z",
+     "iopub.status.busy": "2025-02-02T04:22:53.375654Z",
+     "iopub.status.idle": "2025-02-02T04:23:17.183274Z",
+     "shell.execute_reply": "2025-02-02T04:23:17.182665Z"
     },
     "tags": [
      "remove-cell"
@@ -227,10 +227,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:14.413434Z",
-     "iopub.status.busy": "2024-09-13T08:24:14.413109Z",
-     "iopub.status.idle": "2024-09-13T08:24:14.422193Z",
-     "shell.execute_reply": "2024-09-13T08:24:14.421590Z"
+     "iopub.execute_input": "2025-02-02T04:23:17.185438Z",
+     "iopub.status.busy": "2025-02-02T04:23:17.185253Z",
+     "iopub.status.idle": "2025-02-02T04:23:17.191595Z",
+     "shell.execute_reply": "2025-02-02T04:23:17.191023Z"
     },
     "tags": [
      "remove-input"
@@ -240,7 +240,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **26431**<br />Average CVEs Per Day: **72.41**<br />Average CVSS Score: **7.19**"
+       "Total Number of CVEs: **26431**<br />Average CVEs Per Day: **72.41**<br />Average CVSS Score: **7.01**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -275,10 +275,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:14.424676Z",
-     "iopub.status.busy": "2024-09-13T08:24:14.424293Z",
-     "iopub.status.idle": "2024-09-13T08:24:14.434324Z",
-     "shell.execute_reply": "2024-09-13T08:24:14.433887Z"
+     "iopub.execute_input": "2025-02-02T04:23:17.193564Z",
+     "iopub.status.busy": "2025-02-02T04:23:17.193226Z",
+     "iopub.status.idle": "2025-02-02T04:23:17.202688Z",
+     "shell.execute_reply": "2025-02-02T04:23:17.202262Z"
     },
     "tags": [
      "remove-cell"
@@ -310,10 +310,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:14.436560Z",
-     "iopub.status.busy": "2024-09-13T08:24:14.436208Z",
-     "iopub.status.idle": "2024-09-13T08:24:15.142883Z",
-     "shell.execute_reply": "2024-09-13T08:24:15.142220Z"
+     "iopub.execute_input": "2025-02-02T04:23:17.204488Z",
+     "iopub.status.busy": "2025-02-02T04:23:17.204149Z",
+     "iopub.status.idle": "2025-02-02T04:23:17.895535Z",
+     "shell.execute_reply": "2025-02-02T04:23:17.894960Z"
     },
     "tags": [
      "hide-input",
@@ -323,7 +323,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 2500x300 with 1 Axes>"
       ]
@@ -359,10 +359,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:15.145250Z",
-     "iopub.status.busy": "2024-09-13T08:24:15.144883Z",
-     "iopub.status.idle": "2024-09-13T08:24:15.376213Z",
-     "shell.execute_reply": "2024-09-13T08:24:15.375536Z"
+     "iopub.execute_input": "2025-02-02T04:23:17.897554Z",
+     "iopub.status.busy": "2025-02-02T04:23:17.897133Z",
+     "iopub.status.idle": "2025-02-02T04:23:18.095005Z",
+     "shell.execute_reply": "2025-02-02T04:23:18.094520Z"
     },
     "tags": [
      "remove-input"
@@ -371,7 +371,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -407,10 +407,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:15.378658Z",
-     "iopub.status.busy": "2024-09-13T08:24:15.378264Z",
-     "iopub.status.idle": "2024-09-13T08:24:15.648653Z",
-     "shell.execute_reply": "2024-09-13T08:24:15.648013Z"
+     "iopub.execute_input": "2025-02-02T04:23:18.096985Z",
+     "iopub.status.busy": "2025-02-02T04:23:18.096562Z",
+     "iopub.status.idle": "2025-02-02T04:23:18.326086Z",
+     "shell.execute_reply": "2025-02-02T04:23:18.325540Z"
     },
     "tags": [
      "remove-input"
@@ -419,7 +419,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -455,10 +455,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:15.651083Z",
-     "iopub.status.busy": "2024-09-13T08:24:15.650624Z",
-     "iopub.status.idle": "2024-09-13T08:24:15.981728Z",
-     "shell.execute_reply": "2024-09-13T08:24:15.981078Z"
+     "iopub.execute_input": "2025-02-02T04:23:18.327852Z",
+     "iopub.status.busy": "2025-02-02T04:23:18.327667Z",
+     "iopub.status.idle": "2025-02-02T04:23:18.609666Z",
+     "shell.execute_reply": "2025-02-02T04:23:18.609111Z"
     },
     "tags": [
      "remove-input"
@@ -467,7 +467,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -502,10 +502,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:15.984117Z",
-     "iopub.status.busy": "2024-09-13T08:24:15.983763Z",
-     "iopub.status.idle": "2024-09-13T08:24:16.121742Z",
-     "shell.execute_reply": "2024-09-13T08:24:16.121204Z"
+     "iopub.execute_input": "2025-02-02T04:23:18.611541Z",
+     "iopub.status.busy": "2025-02-02T04:23:18.611358Z",
+     "iopub.status.idle": "2025-02-02T04:23:18.736703Z",
+     "shell.execute_reply": "2025-02-02T04:23:18.736194Z"
     },
     "tags": [
      "remove-input"
@@ -514,7 +514,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -547,10 +547,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:16.124121Z",
-     "iopub.status.busy": "2024-09-13T08:24:16.123763Z",
-     "iopub.status.idle": "2024-09-13T08:24:16.348003Z",
-     "shell.execute_reply": "2024-09-13T08:24:16.347359Z"
+     "iopub.execute_input": "2025-02-02T04:23:18.738784Z",
+     "iopub.status.busy": "2025-02-02T04:23:18.738316Z",
+     "iopub.status.idle": "2025-02-02T04:23:18.962578Z",
+     "shell.execute_reply": "2025-02-02T04:23:18.962106Z"
     },
     "tags": [
      "remove-input"
@@ -559,7 +559,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -605,10 +605,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:16.350327Z",
-     "iopub.status.busy": "2024-09-13T08:24:16.349982Z",
-     "iopub.status.idle": "2024-09-13T08:24:16.572109Z",
-     "shell.execute_reply": "2024-09-13T08:24:16.571498Z"
+     "iopub.execute_input": "2025-02-02T04:23:18.964442Z",
+     "iopub.status.busy": "2025-02-02T04:23:18.964110Z",
+     "iopub.status.idle": "2025-02-02T04:23:19.184024Z",
+     "shell.execute_reply": "2025-02-02T04:23:19.183513Z"
     },
     "tags": [
      "remove-input"
@@ -617,7 +617,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -673,10 +673,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:16.574539Z",
-     "iopub.status.busy": "2024-09-13T08:24:16.574153Z",
-     "iopub.status.idle": "2024-09-13T08:24:16.585189Z",
-     "shell.execute_reply": "2024-09-13T08:24:16.584711Z"
+     "iopub.execute_input": "2025-02-02T04:23:19.186066Z",
+     "iopub.status.busy": "2025-02-02T04:23:19.185702Z",
+     "iopub.status.idle": "2025-02-02T04:23:19.196557Z",
+     "shell.execute_reply": "2025-02-02T04:23:19.196007Z"
     },
     "tags": [
      "remove-input"
@@ -686,7 +686,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_acfe09c7_30d8_443d_8b0b_71a693d8e559\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_b3fff0f5_9e53_49a2_9ec5_dcdf4543d44b\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -696,7 +696,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -787,24 +786,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_b3fff0f5_9e53_49a2_9ec5_dcdf4543d44b:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_acfe09c7_30d8_443d_8b0b_71a693d8e559:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 7782, 29.0], [\"security-advisories@github.com\", 1621, 6.0], [\"contact@wpscan.com\", 1146, 4.0], [\"secure@microsoft.com\", 933, 4.0], [\"cna@vuldb.com\", 900, 3.0], [\"security@huntr.dev\", 875, 3.0], [\"secalert@redhat.com\", 798, 3.0], [\"security@android.com\", 707, 3.0], [\"ics-cert@hq.dhs.gov\", 493, 2.0], [\"psirt@adobe.com\", 460, 2.0], [\"secalert_us@oracle.com\", 416, 2.0], [\"psirt@us.ibm.com\", 412, 2.0], [\"talos-cna@cisco.com\", 410, 2.0], [\"jenkinsci-cert@googlegroups.com\", 391, 1.0], [\"mobile.security@samsung.com\", 384, 1.0], [\"audit@patchstack.com\", 382, 1.0], [\"product-security@apple.com\", 371, 1.0], [\"chrome-cve-admin@google.com\", 358, 1.0], [\"cna@sap.com\", 320, 1.0], [\"psirt@huawei.com\", 316, 1.0], [\"ykramarz@cisco.com\", 316, 1.0], [\"zdi-disclosures@trendmicro.com\", 298, 1.0], [\"productcert@siemens.com\", 297, 1.0], [\"product-security@qualcomm.com\", 246, 1.0], [\"secure@intel.com\", 239, 1.0], [\"security@mediatek.com\", 237, 1.0], [\"security@apache.org\", 227, 1.0], [\"vultures@jpcert.or.jp\", 218, 1.0], [\"report@snyk.io\", 194, 1.0], [\"f5sirt@f5.com\", 187, 1.0], [\"security_alert@emc.com\", 187, 1.0], [\"cve@gitlab.com\", 183, 1.0], [\"security@mozilla.org\", 176, 1.0], [\"security@wordfence.com\", 171, 1.0], [\"info@cert.vde.com\", 165, 1.0], [\"psirt@amd.com\", 154, 1.0], [\"security-alert@hpe.com\", 149, 1.0], [\"psirt@fortinet.com\", 106, 0.0], [\"cybersecurity@se.com\", 105, 0.0], [\"sirt@juniper.net\", 99, 0.0], [\"security@vmware.com\", 98, 0.0], [\"psirt@nvidia.com\", 91, 0.0], [\"twcert@cert.org.tw\", 89, 0.0], [\"security@unisoc.com\", 88, 0.0], [\"support@hackerone.com\", 86, 0.0], [\"psirt@autodesk.com\", 73, 0.0], [\"cve-coordination@google.com\", 69, 0.0], [\"psirt@paloaltonetworks.com\", 65, 0.0], [\"psirt@hcl.com\", 63, 0.0], [\"security@trendmicro.com\", 60, 0.0], [\"vulnerabilitylab@mend.io\", 60, 0.0], [\"patrick@puiterwijk.org\", 59, 0.0], [\"security@xen.org\", 57, 0.0], [\"help@fluidattacks.com\", 54, 0.0], [\"cna@cyber.gov.il\", 53, 0.0], [\"security@golang.org\", 52, 0.0], [\"hp-security-alert@hp.com\", 46, 0.0], [\"cve@jetbrains.com\", 46, 0.0], [\"security@joomla.org\", 43, 0.0], [\"security@sierrawireless.com\", 43, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 40, 0.0], [\"security@synology.com\", 39, 0.0], [\"security@atlassian.com\", 37, 0.0], [\"vuln@krcert.or.kr\", 36, 0.0], [\"security@tibco.com\", 33, 0.0], [\"vulnreport@tenable.com\", 33, 0.0], [\"reefs@jfrog.com\", 32, 0.0], [\"prodsec@splunk.com\", 31, 0.0], [\"psirt@esri.com\", 31, 0.0], [\"cret@cert.org\", 30, 0.0], [\"security@zoom.us\", 29, 0.0], [\"security-alert@sophos.com\", 29, 0.0], [\"trellixpsirt@trellix.com\", 28, 0.0], [\"meissner@suse.de\", 28, 0.0], [\"psirt@lenovo.com\", 27, 0.0], [\"cve-notifications-us@f-secure.com\", 26, 0.0], [\"security@opentext.com\", 25, 0.0], [\"sirt@brocade.com\", 25, 0.0], [\"responsibledisclosure@mattermost.com\", 25, 0.0], [\"cve-coordination@incibe.es\", 24, 0.0], [\"psirt@solarwinds.com\", 24, 0.0], [\"security@octopus.com\", 24, 0.0], [\"cve@rapid7.com\", 24, 0.0], [\"psirt@wdc.com\", 23, 0.0], [\"security-alert@netapp.com\", 23, 0.0], [\"cve-assign@fb.com\", 23, 0.0], [\"security@qnapsecurity.com.tw\", 22, 0.0], [\"psirt@sick.de\", 22, 0.0], [\"security@acronis.com\", 21, 0.0], [\"security@zyxel.com.tw\", 21, 0.0], [\"cybersecurity@ch.abb.com\", 20, 0.0], [\"iletisim@usom.gov.tr\", 20, 0.0], [\"PSIRT@sonicwall.com\", 20, 0.0], [\"security@debian.org\", 19, 0.0], [\"security@xiaomi.com\", 18, 0.0], [\"VulnerabilityReporting@secomea.com\", 18, 0.0], [\"PSIRT@rockwellautomation.com\", 18, 0.0], [\"securities@openeuler.org\", 17, 0.0], [\"disclosure@synopsys.com\", 17, 0.0], [\"cybersecurity@hitachienergy.com\", 17, 0.0], [\"cybersecurity@dahuatech.com\", 17, 0.0], [\"prodsec@nozominetworks.com\", 16, 0.0], [\"scy@openharmony.io\", 16, 0.0], [\"hirt@hitachi.co.jp\", 16, 0.0], [\"vdp@themissinglink.com.au\", 16, 0.0], [\"cve-requests@bitdefender.com\", 15, 0.0], [\"responsible-disclosure@pingidentity.com\", 15, 0.0], [\"security@zabbix.com\", 14, 0.0], [\"security@otrs.com\", 14, 0.0], [\"productsecurity@jci.com\", 14, 0.0], [\"openssl-security@openssl.org\", 14, 0.0], [\"security-officer@isc.org\", 13, 0.0], [\"secure@symantec.com\", 13, 0.0], [\"csirt@divd.nl\", 13, 0.0], [\"vulnerabilities@zephyrproject.org\", 13, 0.0], [\"psirt@zte.com.cn\", 13, 0.0], [\"psirt@bosch.com\", 13, 0.0], [\"vulnerability@ncsc.ch\", 13, 0.0], [\"bressers@elastic.co\", 12, 0.0], [\"security@eset.com\", 12, 0.0], [\"cna@cloudflare.com\", 12, 0.0], [\"mlhess@drupal.org\", 12, 0.0], [\"psirt@arista.com\", 11, 0.0], [\"vuln@ca.com\", 11, 0.0], [\"secure@citrix.com\", 11, 0.0], [\"product-cna@github.com\", 11, 0.0], [\"cve_disclosure@tech.gov.sg\", 11, 0.0], [\"security@m-files.com\", 10, 0.0], [\"emo@eclipse.org\", 10, 0.0], [\"security@bluespice.com\", 10, 0.0], [\"security@pandorafms.com\", 10, 0.0], [\"security@pivotal.io\", 10, 0.0], [\"secure@blackberry.com\", 9, 0.0], [\"security@fidelissecurity.com\", 9, 0.0], [\"cve@checkpoint.com\", 9, 0.0], [\"productsecurity@carrier.com\", 8, 0.0], [\"secteam@freebsd.org\", 8, 0.0], [\"security@devolutions.net\", 8, 0.0], [\"cve@forums.swift.org\", 7, 0.0], [\"cve@navercorp.com\", 7, 0.0], [\"CybersecurityCOE@eaton.com\", 7, 0.0], [\"security@php.net\", 7, 0.0], [\"cve-coordination@palantir.com\", 6, 0.0], [\"product-security@silabs.com\", 6, 0.0], [\"security@pega.com\", 6, 0.0], [\"product-security@axis.com\", 6, 0.0], [\"cybersecurity@bd.com\", 6, 0.0], [\"psirt-info@cyber.jp.nec.com\", 6, 0.0], [\"security@openanolis.org\", 6, 0.0], [\"security@ubuntu.com\", 6, 0.0], [\"product.security@lge.com\", 6, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 6, 0.0], [\"jordan@liggitt.net\", 5, 0.0], [\"psirt@mirantis.com\", 5, 0.0], [\"disclose@cybersecurityworks.com\", 5, 0.0], [\"browser-security@yandex-team.ru\", 5, 0.0], [\"security@craftersoftware.com\", 5, 0.0], [\"vdisclose@cert-in.org.in\", 5, 0.0], [\"security@documentfoundation.org\", 5, 0.0], [\"psirt@forgerock.com\", 4, 0.0], [\"productsecurity@baxter.com\", 4, 0.0], [\"security@hypr.com\", 4, 0.0], [\"security@openvpn.net\", 4, 0.0], [\"security@puppet.com\", 4, 0.0], [\"cna@mongodb.com\", 4, 0.0], [\"sep@nlnetlabs.nl\", 4, 0.0], [\"security@nortonlifelock.com\", 4, 0.0], [\"infosec@edk2.groups.io\", 3, 0.0], [\"security@proofpoint.com\", 3, 0.0], [\"psirt@thalesgroup.com\", 3, 0.0], [\"info@appcheck-ng.com\", 3, 0.0], [\"dl_cve@linecorp.com\", 3, 0.0], [\"hsrc@hikvision.com\", 3, 0.0], [\"psirt@okta.com\", 3, 0.0], [\"psirt@forcepoint.com\", 3, 0.0], [\"vulnerability@kaspersky.com\", 3, 0.0], [\"securityalerts@avaya.com\", 3, 0.0], [\"security@hashicorp.com\", 3, 0.0], [\"disclosures@gallagher.com\", 2, 0.0], [\"security@snowsoftware.com\", 2, 0.0], [\"cve@profelis.com.tr\", 2, 0.0], [\"security@oppo.com\", 2, 0.0], [\"security@knime.com\", 2, 0.0], [\"GEPowerCVD@ge.com\", 2, 0.0], [\"cve-coordination@logitech.com\", 2, 0.0], [\"PSIRT@synaptics.com\", 2, 0.0], [\"security@mautic.org\", 2, 0.0], [\"security@salesforce.com\", 2, 0.0], [\"openbmc-security@lists.ozlabs.org\", 2, 0.0], [\"paddle-security@baidu.com\", 2, 0.0], [\"security@tcpdump.org\", 1, 0.0], [\"security-report@netflix.com\", 1, 0.0], [\"psirt@tigera.io\", 1, 0.0], [\"security@vaadin.com\", 1, 0.0], [\"psirt@teamviewer.com\", 1, 0.0], [\"security@asustor.com\", 1, 0.0], [\"security@yugabyte.com\", 1, 0.0], [\"info@cybellum.com\", 1, 0.0], [\"psirt@netskope.com\", 1, 0.0], [\"larry0@me.com\", 1, 0.0], [\"research@onekey.com\", 1, 0.0], [\"security@medtronic.com\", 1, 0.0], [\"ART@zuso.ai\", 1, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 7782, 29.0], [\"security-advisories@github.com\", 1621, 6.0], [\"contact@wpscan.com\", 1146, 4.0], [\"secure@microsoft.com\", 933, 4.0], [\"cna@vuldb.com\", 900, 3.0], [\"security@huntr.dev\", 875, 3.0], [\"secalert@redhat.com\", 798, 3.0], [\"security@android.com\", 707, 3.0], [\"ics-cert@hq.dhs.gov\", 493, 2.0], [\"psirt@adobe.com\", 460, 2.0], [\"secalert_us@oracle.com\", 416, 2.0], [\"psirt@us.ibm.com\", 412, 2.0], [\"talos-cna@cisco.com\", 410, 2.0], [\"jenkinsci-cert@googlegroups.com\", 391, 1.0], [\"mobile.security@samsung.com\", 384, 1.0], [\"audit@patchstack.com\", 382, 1.0], [\"product-security@apple.com\", 371, 1.0], [\"chrome-cve-admin@google.com\", 358, 1.0], [\"cna@sap.com\", 320, 1.0], [\"psirt@huawei.com\", 316, 1.0], [\"psirt@cisco.com\", 316, 1.0], [\"zdi-disclosures@trendmicro.com\", 298, 1.0], [\"productcert@siemens.com\", 297, 1.0], [\"product-security@qualcomm.com\", 246, 1.0], [\"secure@intel.com\", 239, 1.0], [\"security@mediatek.com\", 237, 1.0], [\"security@apache.org\", 227, 1.0], [\"vultures@jpcert.or.jp\", 218, 1.0], [\"report@snyk.io\", 194, 1.0], [\"f5sirt@f5.com\", 187, 1.0], [\"security_alert@emc.com\", 187, 1.0], [\"cve@gitlab.com\", 183, 1.0], [\"security@mozilla.org\", 176, 1.0], [\"security@wordfence.com\", 171, 1.0], [\"info@cert.vde.com\", 165, 1.0], [\"psirt@amd.com\", 154, 1.0], [\"security-alert@hpe.com\", 149, 1.0], [\"psirt@fortinet.com\", 106, 0.0], [\"cybersecurity@se.com\", 105, 0.0], [\"sirt@juniper.net\", 99, 0.0], [\"security@vmware.com\", 98, 0.0], [\"psirt@nvidia.com\", 91, 0.0], [\"twcert@cert.org.tw\", 89, 0.0], [\"security@unisoc.com\", 88, 0.0], [\"support@hackerone.com\", 86, 0.0], [\"psirt@autodesk.com\", 73, 0.0], [\"cve-coordination@google.com\", 69, 0.0], [\"psirt@paloaltonetworks.com\", 65, 0.0], [\"psirt@hcl.com\", 63, 0.0], [\"security@trendmicro.com\", 60, 0.0], [\"vulnerabilitylab@mend.io\", 60, 0.0], [\"patrick@puiterwijk.org\", 59, 0.0], [\"security@xen.org\", 57, 0.0], [\"help@fluidattacks.com\", 54, 0.0], [\"cna@cyber.gov.il\", 53, 0.0], [\"security@golang.org\", 52, 0.0], [\"hp-security-alert@hp.com\", 46, 0.0], [\"cve@jetbrains.com\", 46, 0.0], [\"security@joomla.org\", 43, 0.0], [\"security@sierrawireless.com\", 43, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 40, 0.0], [\"security@synology.com\", 39, 0.0], [\"security@atlassian.com\", 37, 0.0], [\"vuln@krcert.or.kr\", 36, 0.0], [\"security@tibco.com\", 33, 0.0], [\"vulnreport@tenable.com\", 33, 0.0], [\"reefs@jfrog.com\", 32, 0.0], [\"prodsec@splunk.com\", 31, 0.0], [\"psirt@esri.com\", 31, 0.0], [\"cret@cert.org\", 30, 0.0], [\"security@zoom.us\", 29, 0.0], [\"security-alert@sophos.com\", 29, 0.0], [\"trellixpsirt@trellix.com\", 28, 0.0], [\"meissner@suse.de\", 28, 0.0], [\"psirt@lenovo.com\", 27, 0.0], [\"cve-notifications-us@f-secure.com\", 26, 0.0], [\"security@opentext.com\", 25, 0.0], [\"sirt@brocade.com\", 25, 0.0], [\"responsibledisclosure@mattermost.com\", 25, 0.0], [\"cve-coordination@incibe.es\", 24, 0.0], [\"psirt@solarwinds.com\", 24, 0.0], [\"security@octopus.com\", 24, 0.0], [\"cve@rapid7.com\", 24, 0.0], [\"psirt@wdc.com\", 23, 0.0], [\"security-alert@netapp.com\", 23, 0.0], [\"cve-assign@fb.com\", 23, 0.0], [\"security@qnapsecurity.com.tw\", 22, 0.0], [\"psirt@sick.de\", 22, 0.0], [\"security@acronis.com\", 21, 0.0], [\"security@zyxel.com.tw\", 21, 0.0], [\"cybersecurity@ch.abb.com\", 20, 0.0], [\"iletisim@usom.gov.tr\", 20, 0.0], [\"PSIRT@sonicwall.com\", 20, 0.0], [\"security@debian.org\", 19, 0.0], [\"security@xiaomi.com\", 18, 0.0], [\"VulnerabilityReporting@secomea.com\", 18, 0.0], [\"PSIRT@rockwellautomation.com\", 18, 0.0], [\"securities@openeuler.org\", 17, 0.0], [\"disclosure@synopsys.com\", 17, 0.0], [\"cybersecurity@hitachienergy.com\", 17, 0.0], [\"cybersecurity@dahuatech.com\", 17, 0.0], [\"prodsec@nozominetworks.com\", 16, 0.0], [\"scy@openharmony.io\", 16, 0.0], [\"hirt@hitachi.co.jp\", 16, 0.0], [\"vdp@themissinglink.com.au\", 16, 0.0], [\"cve-requests@bitdefender.com\", 15, 0.0], [\"responsible-disclosure@pingidentity.com\", 15, 0.0], [\"security@zabbix.com\", 14, 0.0], [\"security@otrs.com\", 14, 0.0], [\"productsecurity@jci.com\", 14, 0.0], [\"openssl-security@openssl.org\", 14, 0.0], [\"security-officer@isc.org\", 13, 0.0], [\"secure@symantec.com\", 13, 0.0], [\"csirt@divd.nl\", 13, 0.0], [\"vulnerabilities@zephyrproject.org\", 13, 0.0], [\"psirt@zte.com.cn\", 13, 0.0], [\"psirt@bosch.com\", 13, 0.0], [\"vulnerability@ncsc.ch\", 13, 0.0], [\"bressers@elastic.co\", 12, 0.0], [\"security@eset.com\", 12, 0.0], [\"cna@cloudflare.com\", 12, 0.0], [\"mlhess@drupal.org\", 12, 0.0], [\"psirt@arista.com\", 11, 0.0], [\"vuln@ca.com\", 11, 0.0], [\"secure@citrix.com\", 11, 0.0], [\"product-cna@github.com\", 11, 0.0], [\"cve_disclosure@tech.gov.sg\", 11, 0.0], [\"security@m-files.com\", 10, 0.0], [\"emo@eclipse.org\", 10, 0.0], [\"security@bluespice.com\", 10, 0.0], [\"security@pandorafms.com\", 10, 0.0], [\"security@pivotal.io\", 10, 0.0], [\"secure@blackberry.com\", 9, 0.0], [\"security@fidelissecurity.com\", 9, 0.0], [\"cve@checkpoint.com\", 9, 0.0], [\"productsecurity@carrier.com\", 8, 0.0], [\"secteam@freebsd.org\", 8, 0.0], [\"security@devolutions.net\", 8, 0.0], [\"cve@forums.swift.org\", 7, 0.0], [\"cve@navercorp.com\", 7, 0.0], [\"CybersecurityCOE@eaton.com\", 7, 0.0], [\"security@php.net\", 7, 0.0], [\"cve-coordination@palantir.com\", 6, 0.0], [\"product-security@silabs.com\", 6, 0.0], [\"security@pega.com\", 6, 0.0], [\"product-security@axis.com\", 6, 0.0], [\"cybersecurity@bd.com\", 6, 0.0], [\"psirt-info@cyber.jp.nec.com\", 6, 0.0], [\"security@openanolis.org\", 6, 0.0], [\"security@ubuntu.com\", 6, 0.0], [\"product.security@lge.com\", 6, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 6, 0.0], [\"jordan@liggitt.net\", 5, 0.0], [\"psirt@mirantis.com\", 5, 0.0], [\"disclose@cybersecurityworks.com\", 5, 0.0], [\"browser-security@yandex-team.ru\", 5, 0.0], [\"security@craftersoftware.com\", 5, 0.0], [\"vdisclose@cert-in.org.in\", 5, 0.0], [\"security@documentfoundation.org\", 5, 0.0], [\"psirt@forgerock.com\", 4, 0.0], [\"productsecurity@baxter.com\", 4, 0.0], [\"security@hypr.com\", 4, 0.0], [\"security@openvpn.net\", 4, 0.0], [\"security@puppet.com\", 4, 0.0], [\"cna@mongodb.com\", 4, 0.0], [\"sep@nlnetlabs.nl\", 4, 0.0], [\"security@nortonlifelock.com\", 4, 0.0], [\"infosec@edk2.groups.io\", 3, 0.0], [\"security@proofpoint.com\", 3, 0.0], [\"psirt@thalesgroup.com\", 3, 0.0], [\"info@appcheck-ng.com\", 3, 0.0], [\"dl_cve@linecorp.com\", 3, 0.0], [\"hsrc@hikvision.com\", 3, 0.0], [\"psirt@okta.com\", 3, 0.0], [\"psirt@forcepoint.com\", 3, 0.0], [\"vulnerability@kaspersky.com\", 3, 0.0], [\"securityalerts@avaya.com\", 3, 0.0], [\"security@hashicorp.com\", 3, 0.0], [\"disclosures@gallagher.com\", 2, 0.0], [\"security@snowsoftware.com\", 2, 0.0], [\"cve@profelis.com.tr\", 2, 0.0], [\"security@oppo.com\", 2, 0.0], [\"security@knime.com\", 2, 0.0], [\"GEPowerCVD@ge.com\", 2, 0.0], [\"cve-coordination@logitech.com\", 2, 0.0], [\"PSIRT@synaptics.com\", 2, 0.0], [\"security@mautic.org\", 2, 0.0], [\"security@salesforce.com\", 2, 0.0], [\"openbmc-security@lists.ozlabs.org\", 2, 0.0], [\"paddle-security@baidu.com\", 2, 0.0], [\"security@tcpdump.org\", 1, 0.0], [\"security-report@netflix.com\", 1, 0.0], [\"psirt@tigera.io\", 1, 0.0], [\"security@vaadin.com\", 1, 0.0], [\"psirt@teamviewer.com\", 1, 0.0], [\"security@asustor.com\", 1, 0.0], [\"security@yugabyte.com\", 1, 0.0], [\"info@cybellum.com\", 1, 0.0], [\"psirt@netskope.com\", 1, 0.0], [\"larry0@me.com\", 1, 0.0], [\"research@onekey.com\", 1, 0.0], [\"security@medtronic.com\", 1, 0.0], [\"ART@zuso.ai\", 1, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -839,10 +837,10 @@
    "id": "abdad40c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:16.587298Z",
-     "iopub.status.busy": "2024-09-13T08:24:16.586974Z",
-     "iopub.status.idle": "2024-09-13T08:24:16.593244Z",
-     "shell.execute_reply": "2024-09-13T08:24:16.592763Z"
+     "iopub.execute_input": "2025-02-02T04:23:19.198377Z",
+     "iopub.status.busy": "2025-02-02T04:23:19.198084Z",
+     "iopub.status.idle": "2025-02-02T04:23:19.204539Z",
+     "shell.execute_reply": "2025-02-02T04:23:19.203967Z"
     },
     "tags": [
      "remove-input"
@@ -852,7 +850,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_dacc5790_c83f_45d5_8633_5a08d226a45b\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_e88e9dfa_82ea_4f1f_bc92_a0b2fb6ca56d\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -861,7 +859,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -952,24 +949,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_e88e9dfa_82ea_4f1f_bc92_a0b2fb6ca56d:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_dacc5790_c83f_45d5_8633_5a08d226a45b:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"NVD-CWE-noinfo\", 3279], [\"CWE-79\", 3163], [\"CWE-787\", 2073], [\"CWE-89\", 1722], [\"Missing_Data\", 1517], [\"NVD-CWE-Other\", 972], [\"CWE-125\", 787], [\"CWE-22\", 720], [\"CWE-416\", 687], [\"CWE-352\", 684], [\"CWE-78\", 550], [\"CWE-20\", 545], [\"CWE-434\", 458], [\"CWE-862\", 433], [\"CWE-120\", 407], [\"CWE-476\", 369], [\"CWE-287\", 337], [\"CWE-863\", 228], [\"CWE-190\", 226], [\"CWE-362\", 225], [\"CWE-119\", 206], [\"CWE-918\", 205], [\"CWE-77\", 195], [\"CWE-269\", 194], [\"CWE-798\", 194], [\"CWE-306\", 192], [\"CWE-276\", 180], [\"CWE-200\", 177], [\"CWE-770\", 175], [\"CWE-502\", 168], [\"CWE-617\", 144], [\"CWE-522\", 144], [\"CWE-601\", 143], [\"CWE-94\", 140], [\"CWE-400\", 138], [\"CWE-668\", 128], [\"CWE-639\", 125], [\"CWE-611\", 124], [\"CWE-732\", 122], [\"CWE-401\", 119], [\"CWE-427\", 118], [\"CWE-532\", 113], [\"CWE-295\", 108], [\"CWE-203\", 103], [\"CWE-1321\", 96], [\"CWE-755\", 92], [\"CWE-59\", 90], [\"CWE-319\", 88], [\"CWE-74\", 85], [\"CWE-122\", 83], [\"CWE-312\", 78], [\"CWE-1333\", 76], [\"CWE-345\", 69], [\"CWE-1284\", 69], [\"CWE-552\", 68], [\"CWE-367\", 67], [\"CWE-404\", 67], [\"CWE-415\", 65], [\"CWE-129\", 65], [\"CWE-1021\", 58], [\"CWE-754\", 58], [\"CWE-835\", 56], [\"CWE-116\", 56], [\"CWE-327\", 56], [\"CWE-307\", 54], [\"CWE-330\", 54], [\"CWE-347\", 52], [\"CWE-707\", 52], [\"CWE-843\", 50], [\"CWE-613\", 49], [\"CWE-209\", 49], [\"CWE-674\", 46], [\"CWE-908\", 42], [\"CWE-428\", 41], [\"CWE-326\", 41], [\"CWE-88\", 41], [\"CWE-665\", 41], [\"CWE-1236\", 39], [\"CWE-425\", 39], [\"CWE-290\", 39], [\"CWE-824\", 38], [\"CWE-121\", 37], [\"CWE-667\", 37], [\"CWE-311\", 37], [\"CWE-384\", 37], [\"CWE-281\", 36], [\"CWE-294\", 36], [\"CWE-610\", 36], [\"CWE-444\", 33], [\"CWE-369\", 32], [\"CWE-521\", 32], [\"CWE-134\", 31], [\"CWE-284\", 30], [\"CWE-346\", 30], [\"CWE-252\", 28], [\"CWE-212\", 28], [\"CWE-191\", 25], [\"CWE-682\", 23], [\"CWE-354\", 21], [\"CWE-704\", 21], [\"CWE-697\", 21], [\"CWE-426\", 21], [\"CWE-459\", 20], [\"CWE-131\", 19], [\"CWE-494\", 18], [\"CWE-829\", 18], [\"CWE-922\", 18], [\"CWE-193\", 18], [\"CWE-640\", 17], [\"CWE-285\", 16], [\"CWE-1188\", 16], [\"CWE-681\", 15], [\"CWE-772\", 15], [\"CWE-338\", 14], [\"CWE-565\", 11], [\"CWE-91\", 11], [\"CWE-670\", 11], [\"CWE-331\", 11], [\"CWE-917\", 11], [\"CWE-672\", 10], [\"CWE-916\", 10], [\"CWE-776\", 10], [\"CWE-763\", 10], [\"CWE-913\", 9], [\"CWE-669\", 9], [\"CWE-909\", 8], [\"CWE-706\", 8], [\"CWE-335\", 8], [\"CWE-436\", 7], [\"CWE-126\", 7], [\"CWE-250\", 7], [\"CWE-662\", 6], [\"CWE-359\", 6], [\"CWE-73\", 5], [\"CWE-823\", 5], [\"CWE-789\", 5], [\"CWE-788\", 5], [\"CWE-266\", 5], [\"CWE-377\", 4], [\"CWE-822\", 4], [\"CWE-407\", 4], [\"CWE-457\", 4], [\"CWE-834\", 4], [\"CWE-248\", 3], [\"CWE-204\", 3], [\"CWE-1287\", 3], [\"CWE-178\", 3], [\"CWE-470\", 3], [\"CWE-648\", 3], [\"CWE-406\", 3], [\"CWE-273\", 3], [\"CWE-241\", 2], [\"CWE-123\", 2], [\"CWE-912\", 2], [\"CWE-305\", 2], [\"CWE-489\", 2], [\"CWE-264\", 2], [\"CWE-99\", 2], [\"CWE-130\", 2], [\"CWE-1022\", 2], [\"CWE-497\", 2], [\"CWE-842\", 2], [\"CWE-440\", 2], [\"CWE-940\", 2], [\"CWE-1220\", 2], [\"CWE-95\", 2], [\"CWE-189\", 2], [\"CWE-288\", 2], [\"CWE-321\", 2], [\"CWE-256\", 2], [\"CWE-80\", 2], [\"CWE-93\", 2], [\"CWE-924\", 2], [\"CWE-693\", 1], [\"CWE-391\", 1], [\"CWE-228\", 1], [\"CWE-643\", 1], [\"CWE-759\", 1], [\"CWE-911\", 1], [\"CWE-112\", 1], [\"CWE-201\", 1], [\"CWE-208\", 1], [\"CWE-358\", 1], [\"CWE-324\", 1], [\"CWE-456\", 1], [\"CWE-538\", 1], [\"CWE-363\", 1], [\"CWE-840\", 1], [\"CWE-451\", 1], [\"CWE-548\", 1], [\"CWE-671\", 1], [\"CWE-194\", 1], [\"CWE-523\", 1], [\"CWE-424\", 1], [\"CWE-24\", 1], [\"CWE-304\", 1], [\"CWE-395\", 1], [\"CWE-571\", 1], [\"CWE-282\", 1], [\"CWE-214\", 1], [\"CWE-620\", 1], [\"CWE-378\", 1], [\"CWE-23\", 1], [\"CWE-603\", 1], [\"CWE-187\", 1], [\"CWE-405\", 1], [\"CWE-1336\", 1], [\"CWE-35\", 1], [\"CWE-115\", 1], [\"CWE-602\", 1], [\"CWE-117\", 1], [\"CWE-1320\", 1], [\"CWE-923\", 1], [\"CWE-124\", 1], [\"CWE-1258\", 1], [\"CWE-1288\", 1], [\"CWE-141\", 1], [\"CWE-146\", 1], [\"CWE-690\", 1], [\"CWE-1108\", 1], [\"CWE-833\", 1], [\"CWE-524\", 1], [\"CWE-460\", 1], [\"CWE-1026\", 1], [\"CWE-1077\", 1], [\"CWE-274\", 1], [\"CWE-113\", 1], [\"CWE-664\", 1], [\"CWE-98\", 1], [\"CWE-1286\", 1], [\"CWE-257\", 1], [\"CWE-562\", 1], [\"CWE-597\", 1], [\"CWE-75\", 1], [\"CWE-455\", 1], [\"CWE-1004\", 1], [\"CWE-941\", 1], [\"CWE-229\", 1], [\"CWE-280\", 1]];\n",
+       "        const data = [[\"CWE-79\", 3012], [\"NVD-CWE-noinfo\", 2963], [\"CWE-787\", 1764], [\"CWE-89\", 1686], [\"Missing_Data\", 1517], [\"CWE-125\", 757], [\"CWE-416\", 684], [\"CWE-20\", 680], [\"CWE-22\", 672], [\"CWE-352\", 636], [\"CWE-78\", 514], [\"NVD-CWE-Other\", 485], [\"CWE-120\", 445], [\"CWE-434\", 439], [\"CWE-200\", 419], [\"CWE-862\", 412], [\"CWE-476\", 359], [\"CWE-287\", 322], [\"CWE-119\", 275], [\"CWE-284\", 268], [\"CWE-400\", 227], [\"CWE-362\", 214], [\"CWE-190\", 210], [\"CWE-918\", 204], [\"CWE-269\", 204], [\"CWE-77\", 204], [\"CWE-863\", 202], [\"CWE-707\", 188], [\"CWE-122\", 183], [\"CWE-306\", 172], [\"CWE-798\", 169], [\"CWE-94\", 168], [\"CWE-502\", 163], [\"CWE-276\", 158], [\"CWE-121\", 158], [\"CWE-617\", 142], [\"CWE-770\", 140], [\"CWE-601\", 134], [\"CWE-611\", 121], [\"CWE-522\", 117], [\"CWE-639\", 112], [\"CWE-427\", 111], [\"CWE-401\", 103], [\"CWE-74\", 103], [\"CWE-732\", 102], [\"CWE-295\", 94], [\"CWE-203\", 91], [\"CWE-532\", 90], [\"CWE-285\", 87], [\"CWE-1321\", 85], [\"CWE-668\", 84], [\"CWE-59\", 81], [\"CWE-319\", 79], [\"CWE-404\", 78], [\"CWE-367\", 70], [\"CWE-80\", 69], [\"CWE-312\", 67], [\"CWE-345\", 66], [\"CWE-129\", 64], [\"CWE-755\", 61], [\"CWE-415\", 60], [\"CWE-1333\", 59], [\"CWE-327\", 58], [\"CWE-552\", 58], [\"CWE-754\", 57], [\"CWE-1021\", 54], [\"CWE-835\", 53], [\"CWE-347\", 52], [\"CWE-843\", 47], [\"CWE-613\", 47], [\"CWE-307\", 46], [\"CWE-209\", 43], [\"CWE-264\", 42], [\"CWE-428\", 42], [\"CWE-330\", 41], [\"CWE-88\", 41], [\"CWE-665\", 40], [\"CWE-674\", 39], [\"CWE-1284\", 38], [\"CWE-116\", 38], [\"CWE-281\", 37], [\"CWE-1236\", 37], [\"CWE-908\", 36], [\"CWE-384\", 36], [\"CWE-824\", 36], [\"CWE-294\", 36], [\"CWE-23\", 35], [\"CWE-290\", 35], [\"CWE-667\", 35], [\"CWE-425\", 34], [\"CWE-326\", 33], [\"CWE-311\", 32], [\"CWE-521\", 31], [\"CWE-126\", 31], [\"CWE-369\", 31], [\"CWE-444\", 31], [\"CWE-788\", 31], [\"CWE-134\", 29], [\"CWE-288\", 29], [\"CWE-346\", 28], [\"CWE-266\", 27], [\"CWE-191\", 24], [\"CWE-250\", 24], [\"CWE-610\", 23], [\"CWE-321\", 22], [\"CWE-459\", 22], [\"CWE-252\", 22], [\"CWE-131\", 21], [\"CWE-682\", 20], [\"CWE-354\", 20], [\"CWE-829\", 19], [\"CWE-494\", 19], [\"CWE-704\", 19], [\"CWE-426\", 19], [\"CWE-73\", 18], [\"CWE-212\", 18], [\"CWE-256\", 17], [\"CWE-193\", 17], [\"CWE-280\", 17], [\"CWE-640\", 17], [\"CWE-399\", 15], [\"CWE-840\", 15], [\"CWE-489\", 15], [\"CWE-922\", 15], [\"CWE-1188\", 14], [\"CWE-697\", 14], [\"CWE-130\", 14], [\"CWE-703\", 14], [\"CWE-331\", 14], [\"CWE-359\", 13], [\"CWE-377\", 13], [\"CWE-91\", 12], [\"CWE-772\", 12], [\"CWE-248\", 12], [\"CWE-670\", 11], [\"CWE-789\", 11], [\"CWE-305\", 11], [\"CWE-338\", 11], [\"CWE-916\", 10], [\"CWE-457\", 10], [\"CWE-614\", 10], [\"CWE-776\", 9], [\"CWE-241\", 9], [\"CWE-664\", 9], [\"CWE-672\", 9], [\"CWE-913\", 8], [\"CWE-823\", 8], [\"CWE-681\", 8], [\"CWE-213\", 8], [\"CWE-693\", 8], [\"CWE-565\", 8], [\"CWE-648\", 8], [\"CWE-259\", 7], [\"CWE-706\", 7], [\"CWE-909\", 7], [\"CWE-204\", 7], [\"CWE-763\", 7], [\"CWE-275\", 7], [\"CWE-912\", 7], [\"CWE-208\", 7], [\"CWE-436\", 6], [\"CWE-669\", 6], [\"CWE-497\", 6], [\"CWE-406\", 6], [\"CWE-310\", 6], [\"CWE-16\", 6], [\"CWE-1336\", 6], [\"CWE-917\", 5], [\"CWE-822\", 5], [\"CWE-1220\", 5], [\"CWE-358\", 5], [\"CWE-201\", 5], [\"CWE-451\", 5], [\"CWE-470\", 5], [\"CWE-690\", 5], [\"CWE-113\", 5], [\"CWE-123\", 5], [\"CWE-680\", 5], [\"CWE-335\", 5], [\"CWE-1286\", 4], [\"CWE-117\", 4], [\"CWE-192\", 4], [\"CWE-99\", 4], [\"CWE-115\", 4], [\"CWE-538\", 4], [\"CWE-274\", 4], [\"CWE-548\", 4], [\"CWE-95\", 4], [\"CWE-257\", 4], [\"CWE-927\", 4], [\"CWE-325\", 4], [\"CWE-202\", 4], [\"CWE-303\", 4], [\"CWE-1022\", 4], [\"CWE-304\", 4], [\"CWE-1287\", 4], [\"CWE-620\", 4], [\"CWE-302\", 4], [\"CWE-1285\", 4], [\"CWE-915\", 4], [\"CWE-471\", 4], [\"CWE-779\", 4], [\"CWE-385\", 4], [\"CWE-602\", 4], [\"CWE-282\", 3], [\"CWE-549\", 3], [\"CWE-410\", 3], [\"CWE-273\", 3], [\"CWE-911\", 3], [\"CWE-842\", 3], [\"CWE-561\", 3], [\"CWE-36\", 3], [\"CWE-778\", 3], [\"CWE-24\", 3], [\"CWE-75\", 3], [\"CWE-472\", 3], [\"CWE-141\", 3], [\"CWE-1004\", 3], [\"CWE-334\", 3], [\"CWE-453\", 3], [\"CWE-612\", 3], [\"CWE-316\", 3], [\"CWE-662\", 3], [\"CWE-229\", 3], [\"CWE-379\", 3], [\"CWE-255\", 3], [\"CWE-324\", 3], [\"CWE-424\", 3], [\"CWE-124\", 3], [\"CWE-924\", 3], [\"CWE-407\", 3], [\"CWE-184\", 3], [\"CWE-598\", 3], [\"CWE-603\", 3], [\"CWE-197\", 3], [\"CWE-657\", 3], [\"CWE-841\", 3], [\"CWE-158\", 3], [\"CWE-233\", 3], [\"CWE-691\", 3], [\"CWE-757\", 2], [\"CWE-223\", 2], [\"CWE-112\", 2], [\"CWE-676\", 2], [\"CWE-37\", 2], [\"CWE-150\", 2], [\"CWE-378\", 2], [\"CWE-219\", 2], [\"CWE-178\", 2], [\"CWE-460\", 2], [\"CWE-254\", 2], [\"CWE-93\", 2], [\"CWE-807\", 2], [\"CWE-815\", 2], [\"CWE-114\", 2], [\"CWE-25\", 2], [\"CWE-261\", 2], [\"CWE-228\", 2], [\"CWE-501\", 2], [\"CWE-328\", 2], [\"CWE-180\", 2], [\"CWE-1125\", 2], [\"CWE-356\", 2], [\"CWE-342\", 2], [\"CWE-749\", 2], [\"CWE-440\", 2], [\"CWE-244\", 2], [\"CWE-35\", 2], [\"CWE-189\", 2], [\"CWE-644\", 2], [\"CWE-441\", 2], [\"CWE-940\", 2], [\"CWE-923\", 2], [\"CWE-138\", 2], [\"CWE-1221\", 2], [\"CWE-297\", 2], [\"CWE-590\", 2], [\"CWE-348\", 2], [\"CWE-98\", 2], [\"CWE-597\", 2], [\"CWE-1038\", 2], [\"CWE-786\", 2], [\"CWE-41\", 1], [\"CWE-834\", 1], [\"CWE-1289\", 1], [\"CWE-479\", 1], [\"CWE-337\", 1], [\"CWE-183\", 1], [\"CWE-696\", 1], [\"CWE-268\", 1], [\"CWE-921\", 1], [\"CWE-710\", 1], [\"CWE-215\", 1], [\"CWE-456\", 1], [\"CWE-296\", 1], [\"CWE-1258\", 1], [\"CWE-524\", 1], [\"CWE-128\", 1], [\"CWE-805\", 1], [\"CWE-1190\", 1], [\"CWE-642\", 1], [\"CWE-391\", 1], [\"CWE-87\", 1], [\"CWE-344\", 1], [\"CWE-226\", 1], [\"CWE-85\", 1], [\"CWE-1108\", 1], [\"CWE-1059\", 1], [\"CWE-277\", 1], [\"CWE-357\", 1], [\"CWE-146\", 1], [\"CWE-689\", 1], [\"CWE-196\", 1], [\"CWE-650\", 1], [\"CWE-606\", 1], [\"CWE-96\", 1], [\"CWE-926\", 1], [\"CWE-1319\", 1], [\"CWE-83\", 1], [\"CWE-234\", 1], [\"CWE-1390\", 1], [\"CWE-1173\", 1], [\"CWE-1250\", 1], [\"CWE-271\", 1], [\"CWE-15\", 1], [\"CWE-84\", 1], [\"CWE-833\", 1], [\"CWE-65\", 1], [\"CWE-253\", 1], [\"CWE-405\", 1], [\"CWE-1327\", 1], [\"CWE-176\", 1], [\"CWE-477\", 1], [\"CWE-1118\", 1], [\"CWE-1283\", 1], [\"CWE-194\", 1], [\"CWE-523\", 1], [\"CWE-187\", 1], [\"CWE-804\", 1], [\"CWE-1291\", 1], [\"CWE-368\", 1], [\"CWE-939\", 1], [\"CWE-402\", 1], [\"CWE-286\", 1], [\"CWE-448\", 1], [\"CWE-1244\", 1], [\"CWE-262\", 1], [\"CWE-480\", 1], [\"CWE-177\", 1], [\"CWE-942\", 1], [\"CWE-283\", 1], [\"CWE-300\", 1], [\"CWE-671\", 1], [\"CWE-821\", 1], [\"CWE-420\", 1], [\"CWE-643\", 1], [\"CWE-759\", 1], [\"CWE-413\", 1], [\"CWE-641\", 1], [\"CWE-408\", 1], [\"CWE-1083\", 1], [\"CWE-571\", 1], [\"CWE-708\", 1], [\"CWE-1218\", 1], [\"CWE-232\", 1], [\"CWE-236\", 1], [\"CWE-684\", 1], [\"CWE-1077\", 1], [\"CWE-336\", 1], [\"CWE-363\", 1], [\"CWE-395\", 1], [\"CWE-409\", 1], [\"CWE-29\", 1], [\"CWE-353\", 1], [\"CWE-242\", 1], [\"CWE-317\", 1], [\"CWE-1352\", 1], [\"CWE-791\", 1], [\"CWE-214\", 1], [\"CWE-836\", 1], [\"CWE-179\", 1], [\"CWE-419\", 1], [\"CWE-1247\", 1], [\"CWE-450\", 1], [\"CWE-366\", 1], [\"CWE-1320\", 1], [\"CWE-1299\", 1], [\"CWE-1026\", 1], [\"CWE-118\", 1], [\"CWE-756\", 1], [\"CWE-267\", 1], [\"CWE-90\", 1], [\"CWE-562\", 1], [\"CWE-455\", 1], [\"CWE-61\", 1], [\"CWE-341\", 1], [\"CWE-941\", 1], [\"CWE-235\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1010,10 +1006,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:16.595389Z",
-     "iopub.status.busy": "2024-09-13T08:24:16.595067Z",
-     "iopub.status.idle": "2024-09-13T08:24:16.763661Z",
-     "shell.execute_reply": "2024-09-13T08:24:16.763006Z"
+     "iopub.execute_input": "2025-02-02T04:23:19.206340Z",
+     "iopub.status.busy": "2025-02-02T04:23:19.206044Z",
+     "iopub.status.idle": "2025-02-02T04:23:19.372134Z",
+     "shell.execute_reply": "2025-02-02T04:23:19.371569Z"
     },
     "tags": [
      "remove-input"
@@ -1084,10 +1080,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:16.766101Z",
-     "iopub.status.busy": "2024-09-13T08:24:16.765894Z",
-     "iopub.status.idle": "2024-09-13T08:24:16.769871Z",
-     "shell.execute_reply": "2024-09-13T08:24:16.769319Z"
+     "iopub.execute_input": "2025-02-02T04:23:19.373931Z",
+     "iopub.status.busy": "2025-02-02T04:23:19.373719Z",
+     "iopub.status.idle": "2025-02-02T04:23:19.377692Z",
+     "shell.execute_reply": "2025-02-02T04:23:19.377136Z"
     },
     "tags": [
      "remove-input"
@@ -1097,7 +1093,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:24:16.766831**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:23:19.374629**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1129,7 +1125,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVE2023.ipynb b/CVE2023.ipynb
index 4cb30389f8..530a4f18bd 100644
--- a/CVE2023.ipynb
+++ b/CVE2023.ipynb
@@ -16,10 +16,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:21.599254Z",
-     "iopub.status.busy": "2024-09-13T08:24:21.599075Z",
-     "iopub.status.idle": "2024-09-13T08:24:22.248529Z",
-     "shell.execute_reply": "2024-09-13T08:24:22.247916Z"
+     "iopub.execute_input": "2025-02-02T04:23:24.249692Z",
+     "iopub.status.busy": "2025-02-02T04:23:24.249524Z",
+     "iopub.status.idle": "2025-02-02T04:23:24.885658Z",
+     "shell.execute_reply": "2025-02-02T04:23:24.885069Z"
     },
     "tags": [
      "remove-cell"
@@ -102,10 +102,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:22.251046Z",
-     "iopub.status.busy": "2024-09-13T08:24:22.250665Z",
-     "iopub.status.idle": "2024-09-13T08:24:41.910312Z",
-     "shell.execute_reply": "2024-09-13T08:24:41.909673Z"
+     "iopub.execute_input": "2025-02-02T04:23:24.887701Z",
+     "iopub.status.busy": "2025-02-02T04:23:24.887499Z",
+     "iopub.status.idle": "2025-02-02T04:23:48.790988Z",
+     "shell.execute_reply": "2025-02-02T04:23:48.790389Z"
     },
     "tags": [
      "remove-cell"
@@ -228,10 +228,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:41.913169Z",
-     "iopub.status.busy": "2024-09-13T08:24:41.912689Z",
-     "iopub.status.idle": "2024-09-13T08:24:41.921144Z",
-     "shell.execute_reply": "2024-09-13T08:24:41.920593Z"
+     "iopub.execute_input": "2025-02-02T04:23:48.793291Z",
+     "iopub.status.busy": "2025-02-02T04:23:48.792928Z",
+     "iopub.status.idle": "2025-02-02T04:23:48.801549Z",
+     "shell.execute_reply": "2025-02-02T04:23:48.800967Z"
     },
     "tags": [
      "remove-input"
@@ -241,7 +241,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **30949**<br />Average CVEs Per Day: **84.79**<br />Average CVSS Score: **7.12**"
+       "Total Number of CVEs: **30949**<br />Average CVEs Per Day: **84.79**<br />Average CVSS Score: **6.79**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -276,10 +276,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:41.923708Z",
-     "iopub.status.busy": "2024-09-13T08:24:41.923250Z",
-     "iopub.status.idle": "2024-09-13T08:24:41.933950Z",
-     "shell.execute_reply": "2024-09-13T08:24:41.933374Z"
+     "iopub.execute_input": "2025-02-02T04:23:48.803573Z",
+     "iopub.status.busy": "2025-02-02T04:23:48.803387Z",
+     "iopub.status.idle": "2025-02-02T04:23:48.814067Z",
+     "shell.execute_reply": "2025-02-02T04:23:48.813473Z"
     },
     "tags": [
      "remove-cell"
@@ -311,10 +311,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:41.936448Z",
-     "iopub.status.busy": "2024-09-13T08:24:41.936025Z",
-     "iopub.status.idle": "2024-09-13T08:24:42.674804Z",
-     "shell.execute_reply": "2024-09-13T08:24:42.674106Z"
+     "iopub.execute_input": "2025-02-02T04:23:48.815992Z",
+     "iopub.status.busy": "2025-02-02T04:23:48.815815Z",
+     "iopub.status.idle": "2025-02-02T04:23:49.563060Z",
+     "shell.execute_reply": "2025-02-02T04:23:49.562445Z"
     },
     "tags": [
      "hide-input",
@@ -324,7 +324,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 2500x300 with 1 Axes>"
       ]
@@ -360,10 +360,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:42.677550Z",
-     "iopub.status.busy": "2024-09-13T08:24:42.676954Z",
-     "iopub.status.idle": "2024-09-13T08:24:42.900592Z",
-     "shell.execute_reply": "2024-09-13T08:24:42.899955Z"
+     "iopub.execute_input": "2025-02-02T04:23:49.565097Z",
+     "iopub.status.busy": "2025-02-02T04:23:49.564780Z",
+     "iopub.status.idle": "2025-02-02T04:23:49.759703Z",
+     "shell.execute_reply": "2025-02-02T04:23:49.759191Z"
     },
     "tags": [
      "remove-input"
@@ -372,7 +372,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -408,10 +408,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:42.903424Z",
-     "iopub.status.busy": "2024-09-13T08:24:42.902851Z",
-     "iopub.status.idle": "2024-09-13T08:24:43.183018Z",
-     "shell.execute_reply": "2024-09-13T08:24:43.182413Z"
+     "iopub.execute_input": "2025-02-02T04:23:49.761677Z",
+     "iopub.status.busy": "2025-02-02T04:23:49.761335Z",
+     "iopub.status.idle": "2025-02-02T04:23:49.998593Z",
+     "shell.execute_reply": "2025-02-02T04:23:49.998067Z"
     },
     "tags": [
      "remove-input"
@@ -420,7 +420,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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cjClTpmD06NE47LDD8NBDD6G9vb3LYzIzM3HRRRdh+PDhOO644zB16lQjfj0iIiIiIiIiIiKKkNCApcPhwJlnnomPP/64x/c6OjqwZ88evPTSS9izZw8WL16MvLw83HTTTV0eN2XKFGRlZSExMRErVqzA1q1b8cgjj4S+b7fbcdVVV+GEE05AWloa3n77bfz73//GzJkzdf/9iIiIiIiIiIiIKDJDRD75tddei2uvvbbX7x166KFITEzs8rWPPvoI5557LsrLy3H88ccjJycHa9asQWpqKs455xwAwIcffojrrrsO06ZNw7hx4zB37lx4PB7Mnj0bBx10EE477TRkZGTg3Xff7RLYJCIiIiIiIiIiIvGEBiwj1draioSEBBx22GEAgKSkJBx22GGhYCUATJo0CYMGDUJycjJuvfVWJCUl4eKLL8ZBBx0UeszVV1+Nt956Cy0tLTj88MN7PI/b7Ybb7Q792263AwiWqXu9Xp1+OxJFfU/53hqPr704fO2tje+vOHztxeFrb218f8Xhay8OX3tr4/srDl97cSJ5zU0TsHS5XPjHP/6Be++9F6NHjwYA1NbW4uijj+7yuCFDhuCII45AbW1t6DHjx4/v8phjjjkm9L3eApZvvvkmXnnllR5f37RpEw4++GBNfh+ST/eMXjIOX3tx+NpbG99fcfjai8PX3tr4/orD114cvvbWxvdXHL72xuvo6Aj7saYIWHq9Xtx1111QFAWffvqp7s/3wgsv4Jlnngn9226347jjjsNll12GI488UvfnJ2N5vV4kJibiyiuvxNChQ0UvJ67wtReHr7218f0Vh6+9OHztrY3vrzh87cXha29tfH/F4WsvTlNTU9iPlT5gqQYry8rKsHHjxlB2JQCMGTMG9fX1XR7v8/nQ3NyMMWPGhB5TV1fX5THqv9XHdDds2DAMGzasx9eHDh3KP2YL4/srDl97cfjaWxvfX3H42ovD197a+P6Kw9deHL721sb3Vxy+9saL5PUWOiV8IGqwsqCgAOvXr++R3Xj++efDZrMhLS0t9LWNGzciEAhgwoQJocds3bq1S518YmIifvnLX/ZaDk5ERERERERERETiCA1Ytre3IyMjAxkZGQCAkpISZGRkoLy8HF6vF3fccQd2796NuXPnwu/3o7a2FrW1tfB4PACAU089Fddccw0efvhhpKSkYMeOHXjyySdxzz33YNy4cQCAyZMn46CDDsJDDz2ErKwsLFiwAO+//36Xkm8iIiIiIiIiIiKSg9CS8N27d+Oyyy4L/VsNIj744IP497//jWXLlgEAzjrrrC4/t2nTJlx66aUAgLlz5+LJJ5/EFVdcgUGDBuH222/HBx98EHrsoYceinXr1uGJJ57Ab3/7W/zkJz/Byy+/jEceeUTfX46IiIiIiIiIiIgiJjRgeemll0JRlD6/39/3VEcccQTmzZvX72POOOMMbNu2LeL1ERERERERERERkbGk7mFJRERERERERERE8YUBSyIiIiIiIiIiIpIGA5ZEREREREREREQkDQYsiYiIiIiIiIiISBoMWBIREREREREREZE0GLAkIiIiIiIiIiIiaTBgSURERERERERERNJgwJKIiIiIiIgsqb7egUBAEb0MIiKKEAOWREREREREZDkZGbUYM2Ya7rlnkeilEBFRhBiwJCIiIiIiIsvZvbsaigIsXZoreilERBQhBiyJiIiIiIjIchoaHAAArzcgeCVERBQpBiyJiIiIiIjIchoaOkL/7Xb7BK6EiIgixYAlERERERERWU7ngGVrq1vgSoiIKFIMWBIREREREZHlqCXhANDU1NHPI4mISDYMWBIREREREZHldM6wrK5uE7gSIiKKFAOWREREREREZDmdMyxratoFroSIiCLFgCURERERERFZiqIoXTIs6+oYsCQiMhMGLImIiIiIiMhSHA4vXK4Dk8E7By+JiEh+DFgSERERERGRpXQuBwc4dIeIyGwYsCQiIiIiIiJL6Z5R2dzsFLQSIiKKBgOWREREREREZCndMyxtNpeglRARUTQYsCQiIiIiIiJL6Z5habe7Ba2EiIiiwYAlERERERERWUr3DMu2No+glRARUTQYsCQiIiIiIiJL6Z5h6XAwYElEZCYMWBIREREREZGldA9YdnT4BK2EiIiiwYAlERERERERWUr3knCXiwFLIiIzYcCSiIiIiIiILKWxsWuGpdfrF7QSIiKKBgOWREREREREZCndS8J9voCglRARUTQYsCQiIiIiIiJL6V4SriiA38+gJRGRWTBgSURERERERJbhdvvQ1tZzKnhvXyMiIjkxYElERERERESW0b0cXNXS4jR4JUREFC0GLImIiIiIiMgyupeDq2pr2w1eCRERRYsBSyIiIiIiIrKMvjIsq6vbDF4JERFFiwFLIiIiIiIisgw1wzIhoevX6+p6z7wkIiL5MGBJREREREREltFXhmVfpeJERCQfBiyJiIiIiIjIMvoKTPYVyCQiIvkwYElERERERESWoQYmFaXr15ubOSWciMgsGLAkIiIiIiIiy+grk7KlxWXwSoiIKFoMWBIREREREZFl9FUS3trKgCURkVkwYElERERERESW0VeGZVubx+CVEBFRtBiwJCIiIiIiIsvoK8PS4WDAkojILBiwJCIiIiIiIkvwev199qpkwJKIyDwYsCQiIiIiIiJLaGrqexK40+kzcCVERBQLBiyJiIiIiIjIEvoqBwcAj8dv4EqIiCgWDFgSERERERGRJfQ1cAcAvN6AgSshIqJYMGBJREREREREltBfhmUgoEBRFANXQ0RE0WLAkoiIiIiIiCxBzbBMSOj9++xjSURkDgxYEhERERERkSX0l2EJAK2tvU8QJyIiuTBgSURERERERJbQ2BjMsOyr8nuggCYREcmBAUsiIiIiIiKyhP6G7gBAVVWbQSshIqJYMGBJREREREREljBQwLKurt2glRARUSwYsCQiIiIiIiJLGKjku66OJeFERGbAgCURERERERFZwkAZlgN9n4iI5MCAJREREREREZleIKCgqan/gORA3yciIjkwYElERERERESm19LihN/fx3jw0GNcBq2GiIhiwYAlERERERERmV445d42GwOWRERmwIAlERERERERmd5AA3cAwG53G7ASIiKKFQOWREREREREZHrhZFi2t3sMWAkREcWKAUsiIiIiIiIyPTXDMiGh78cwYElEZA4MWBIREREREZHphZNh6XT6DFgJERHFigFLIiIiIiIiMj01w1LpZ1C4282AJRGRGTBgSURERERERKYXToal1+s3YCVERBQrBiyJiIiIiIjI9MIJWPr9/aRfEhGRNBiwJCIiIiIiItNTS8L7oyjMsiQiMgMGLImIiIiIiMj0wsmwBAC73a3zSoiIKFYMWBIREREREZGpKYoSVoYlADQ3O3VeDRERxYoBSyIiIiIiIjI1u90NrzcQ1mNratp1Xg0REcWKAUsiIiIiIiIytXDLwQGgurpNx5UQEZEWGLAkIiIiIiIiUwu3HBwA6uvDfywREYnBgCURERERERGZWmNj+BmW9fUsCScikh0DlkRERERERGRqakl4QsLAj21s5NAdIiLZMWBJREREREREphZJSXhLCwOWRESyY8CSiIiIiIiITE3NsFSUgR/b0uLSeTVERBQrBiyJiIiIiIjI1CKZEm63u3VcCRERaYEBSyIiIiIiIjK1SErCGbAkIpIfA5ZERERERERkapFkWDocXh1XQkREWmDAkoiIiIiIiEwtkgxLh8Oj40qIiEgLDFgSERERERGRqUWSYely+XRcCRERaYEBSyIiIiIiIjKtjg4vOjrCL/P2ev06roaIiLTAgCURERERERGZViTl4ADg8wV0WgkREWmFAUsiIiIiIiIyrUjKwQEgEAAURdFpNUREpAUGLImIiIiIiMi0Is2wBID2dg7eISKSGQOWREREREREZFpqhmVCQvg/Y7O5dFoNERFpgQFLIiIiIiIiMq1oMixra9t1WAkREWmFAUsiIiIiIiIyrUh7WAJATQ0DlkREMmPAkoiIiIiIiExLzbCMZI5OXR0DlkREMmPAkoiIiIiIiEwrmgzLurrIy8iJiMg4DFgSERERERGRaUUTsGxsjPxniIjIOAxYEhERERERkWlFM3Snqcmpw0qIiEgrDFgSERERERGRaUWTYdnSwoAlEZHMhAYst27dihtvvBHjxo1DQkICli5d2uX7iqLg5ZdfxtixYzFixAhMmjQJBQUFXR7T3NyMKVOmYPTo0TjssMPw0EMPob29awPlzMxMXHTRRRg+fDiOO+44TJ06Ve9fjYiIiIiIiHTm8fhht7sj/rnWVpcOqyEiIq0IDVg6HA6ceeaZ+Pjjj3v9/tSpU/HBBx9gxowZSE5OxsiRI3H11VfD5TpwcJkyZQqysrKQmJiIFStWYOvWrXjkkUdC37fb7bjqqqtwwgknIC0tDW+//Tb+/e9/Y+bMmbr/fkRERFbj9fqRklIFny8geilERERR96Jsa/NovBIiItLSEJFPfu211+Laa6/t9XuKomD69Ol48cUXcfPNNwMA5syZg2OOOQZLly7FPffcg5ycHKxZswapqak455xzAAAffvghrrvuOkybNg3jxo3D3Llz4fF4MHv2bBx00EE47bTTkJGRgXfffbdLYLMzt9sNt/vAXTq73Q4A8Hq98Hq9Wr4EJAH1PeV7azy+9uLwtbc2Pd/fadOS8M9/bsILL1yAV165VPPtmx0/W+Lwtbc2vr/iyP7aV1e3hv57xIiB83G83gB8PqCjwyPt76SS/bWn2PD9FYevvTiRvOYJiqIoOq4lbAkJCViyZAluueUWAEBxcTFOOukkpKen46yzzgo97pJLLsFZZ52F999/H7Nnz8bf/vY3tLS0hL7v8/kwfPhwLFy4ELfeeiseeOAB2O32LuXmmzZtwuWXX47m5mYcfvjhPdby73//G6+88kqPr8+bNw8HH3ywZr8zERGR2XzwQTk2bmzGlVceiSeeOE70coiIKM7t3duGf/2rCMcfPxwffHDKgI9ftKgO335bgyuuOAJ//vPxBqyQiIhUHR0dmDx5MlpbWzF69Oh+Hys0w7I/tbW1AIBjjjmmy9ePOeaY0Pdqa2tx9NFHd/n+kCFDcMQRR3R5zPjx43tsQ/1ebwHLF154Ac8880zo33a7Hccddxwuu+wyHHnkkTH+ZiQbr9eLxMREXHnllRg6dKjo5cQVvvbi8LW3Nj3f388/XwigGSkpbVi58jpNt20F/GyJw9fe2vj+iiP7a2+3ZwEoQlWVC/femzng432+YL7Onj0OXHed3Mcx2V97ig3fX3H42ovT1NQU9mOlDViKNGzYMAwbNqzH14cOHco/Zgvj+ysOX3tx+Npbmx7vr80W7CPtcPj4t9MPfrbE4WtvbXx/xZH1tW9pCbbyCgQApzP8/sodHeY5jsn62pM2+P6Kw9feeJG83kKH7vRnzJgxAIC6urouX6+rqwt9b8yYMaivr+/yfZ/Ph+bm5i6P6W0bnZ+DiIiIwtPU5AQA+HwB+P0cvENERGI1NDii+jkOjyMikpu0Acvx48djzJgx2LBhQ+hrdrsdycnJOP/88wEA559/Pmw2G9LS0kKP2bhxIwKBACZMmBB6zNatW7s09kxMTMQvf/nLXsvBiYiIqG/Nzc7Qf9fUtAlcCREREdDQEJwSHulkBr9filEORETUB6EBy/b2dmRkZCAjIwMAUFJSgoyMDJSXlyMhIQF//etf8Z///AfLli3Dvn378MADD2DcuHGhwTynnnoqrrnmGjz88MNISUnBjh078OSTT+Kee+7BuHHjAACTJ0/GQQcdhIceeghZWVlYsGAB3n///S49KomIiGhgiqJ0CVjm5DQKXA0REdGBgGU03G6fhishIiItCe1huXv3blx22WWhf6tBxAcffBBfffUVnnvuOTgcDjzyyCOw2WyYOHEi1qxZg+HDh4d+Zu7cuXjyySdxxRVXYNCgQbj99tvxwQcfhL5/6KGHYt26dXjiiSfw29/+Fj/5yU/w8ssv45FHHjHuFyUiIrKAtjZPlxK63NxGXHnlSQJXRERE8S7aknAAaG114+ijOdaBiEhGQvfOl156KZR+cvcTEhLw6quv4tVXX+3zMUcccQTmzZvX7/OcccYZ2LZtW9TrJCIioq7l4ABQWNgsaCVERERBsWRYNjY6cPTRIzVcDRERaUXaHpZEREQkl6amrheF5eWtglZCREQUFEuGZU1Nu4YrISIiLTFgSURERGHpnmFZXc2hO0REJI7fH+hxbIoEA5ZERPJiwJKIiIjC0tTU9aIwljI8IiKiWDU1OSOeDt5ZXR0DlkREsmLAkoiIiMLSPYulpcUlaCVERESxlYMHf5433oiIZMWAJREREYWlew9Lh8MjaCVERESxBxy7H9eIiEgeDFgSERFRWLpnWHq9ASix1OIRERHFINYMy1j6XxIRkb4YsCQiIqKwNDf3LAFndgoREYmiZlgmJET38zYbW5sQEcmKAUsiIiIKS2/Byby8JgErISIiij3D0m53a7QSIiLSGgOWREREFJbeSueysxsErISIiOhAhmW03Una2tiLmYhIVgxYEhERUViamnoGLAsLmwWshIiIKPahOxweR0QkLwYsiYiIKCzNzT0vDEtLbcYvhIiICLGXhHd0eDVaCRERaY0BSyIiIhpQIKD0OnSnqqpNwGqIiIiAxsbYMixdLr9GKyEiIq0xYElEREQDstvdCAR6Ngmrr48tu4WIiChasZaEe70MWBIRyYoBSyIiIhpQbxPCgd4H8RAREelNUZSYMyx9voBGqyEiIq0xYElEREQD6isw2d7OgQVERGQ8m80Vc8BRUQC/n0FLIiIZMWBJREREA+orYOnx+KEoPUvFiYiI9BRrObiqrY033oiIZMSAJREREQ2oqSkYsExI6Pp1ReHFHhERGS/WCeGqlha2NiEikhEDlkRERDSg/npVFhY2GbgSIiIi7TIsa2raNdkOERFpiwFLIiIiGlBfQ3cAIDu70cCVEBERHciw7J75H6mamjYNVkNERFpjwJKIiIgGpGZY9tauMj+fGZZERGQsrTIs6+q0KS0nIiJtMWBJREREA1J7WPampMRm3EKIiIhwIMMy1rlv9fUMWBIRyYgBSyIiIhpQfz0sq6rsBq6EiIhIuwzLxkZttkNERNpiwJKIiIgG1F+GZV0dBxYQEZGxtApYNjczYElEJCMGLImIiGhA/WVY9hfMJCIi0oNaEh6rlha3JtshIiJtMWBJREREA+pvSrjdzos9IiIyllYZlq2tLk22Q0RE2mLAkoiIiPrl9wdgs/V9Qed2+w1cDRERxTtFUTTLsGxr82iyHSIi0hYDlkRERNSv1lZ3v1NYAwEFTqfXuAUREVFca2/3aHazzOFgwJKISEYMWBIREVG/+isHV5WV2fRfCBEREbQrBweCwU8iIpIPA5ZERETUr/4G7qiyshoMWAkREZF2A3cAwOXyabYtIiLSDgOWRERE1K9wpoDn5TUZsBIiIiJtMyw9HvZhJiKSEQOWRERE1C81wzIhoe/HFBc3G7QaIiKKd2qGZX/HpXB5vYHYN0JERJpjwJKIiIj6FU4Py4oKuwErISIi0jbDMhBQoPQ3WY6IiIRgwJKIiIj6FU4Py9pa7fqJERER9aexMRiw1CrO6HSyjyURkWwYsCQiIqJ+qQHL/i4Mw8nCJCIi0oKWGZYA0Nrq0nR7REQUOwYsiYiIqF/hDN2x2XixR0RExtBySjgA1NezSoCISDYMWBIREVG/wikJd7lYTkdERMbQOsOyurpN0+0REVHsGLAkIiKifoWTYen3K/B6/QashoiI4p3WGZa1te2abo+IiGLHgCURERH1K5wMSwCoqmKGChER6U/rDEuWhBMRyYcBSyIiIupXuAN1srPrdV4JERHFO5fLh/Z2j6bb1Dpjk4iIYseAJREREfXJ5wugtdUd1mNzc5t0Xg0REcU7PYKL4bQ+ISIiYzFgSURERH1qaQn/Iq6oqFnHlRAREWlfDg4ALS0uzbdJRESxYcCSiIiI+hRu/0oAKC9v1XElRERE+mRY2mwMWBIRyYYBSyIiIupTJAHLmhpOWSUiIn2pGZYJCdpt024Pr/UJEREZhwFLIiIi6lMkfb30KNMjIiLqTI8MS62H+BARUewYsCQiIqI+qRmW4WSysKSOiIj0psfNMQYsiYjkw4AlERER9ampKfwLw44Or44rISIiOpBhqSjabdPp9Gm3MSIi0gQDlkRERNSnSHpY+nwBBAIaXkESxZH164vxzTd7RS+DSHp6ZFi63QxYEhHJZojoBRAREZG81B6W4Way1Nc7MGbMITquiMh6FEXB3XcvQnOzE7/61VH47W/HiV4SkbT0CFh6vX7Nt0lERLFhhiURERH1KZIMSwDIzm7QaSVE1tXa6g591hYtyha8GiK56TF0x+9ndQARkWwYsCQiIqI+RTIlHABycxmwJIpUZaU99N95eU0CV0IkPz0yLBWFWZZERLJhwJKIiIj6FGmGZWFhi04rIbKuqqoDAcuyslaBKyGSm9frh83m0mXbdrtbl+0SEVF0GLAkIiKiPkUasCwrs+mzECILq6pqC/13bW27wJUQya2xUfvsSlWkxzsiItIXA5ZERETUp6amyC4Oq6vbBn4QEXXRuSS8pYVBE6K+6FEOruLxi4hILgxYEhERUa+8Xj/a2jwR/YyeF5NEVtW5JNzl8kFROACEqDd6DNxR1dQwu5mISCYMWBIREVGvoimPY0kdUeQ6l4Qrir5lr0Rmpudno75ev2AoEZFWiotbMH78+3jllc2il6I7BiyJiIioV9EEHx0Orw4rIbK2ziXhAJCeXiNoJURyU7P4ExK033Z9PTMsiUh+c+bsRWmpDa+/vk30UnTHgCURERH1qqkp8oClx+NnOStRhDpnWAJAenqtoJUQyU3PkvDGRlYIEJH8EhOLAQBeb6BLSxkrYsCSiIiIehVteTeHhhCFz+Xy9Shzzc5uELQaIrmpGZZ63BdjSxMikp3d7kZycmXo3+vWFQlcjf4YsCQiIqJeqRPCIy29y89v1mE1RNbU22TikhKb8QshMgE9B7vZbC7dtk1EpIXNm0vh9x+4Y7N9e7nA1eiPAUsiIiLqVbTZJswOIwpfb+Vc3UvEiShIz5Lw1la3btsmItJCYmLXjMrMzDpBKzEGA5ZERETUq2gDlgUFzLAkCldvwUlOCSfqnZ4Zlm1tDFgSkdzWry/p8m+rV2QwYElERES9UofuRNorrLS0RYfVEFmTOiG8c+sFh8MjaDVEctMzw9Lh8Oq2bSKiWFVW2pGb29jlay0t1m5lwYAlERER9SraDEuWsxKFTy0J73xjwO9X4HQyeELUWSCghG6k6YE3CohIZt3LwYHgftHKk8IZsCQiIqJeRXthWF+vXwYMkdX0FeBnL1iirpqbnQgEdBgP/j8ul0+3bRMRxUotB+8+DNPKk8IZsCQiIqJeRZthGe3PEcWjvgKWaWnVBq+ESG56loMDgNfr13X7RETRCgQUrF9fDKBnq6bt2ysErMgYDFgSERFRr5qaohtuwMEFROFTe1h2t38/MyyJOtNz4A4A+HwBXbdPRBStffvq+qxgysysNXg1xmHAkoiIiHoVbaak280sFaJwBAIKqqt7z7AsKGg2eDVEctM7wzIQgK4l50RE0VKzK3tj5UnhDFgSERFRD263L+qJqYoCtLdzeAHRQBoaHH1mdVVUtBq8GiK5qRmW3fu3aYmDd4hIRomJfQcsrTwpnAFLIiIi6iHWPpTFxcwOIxpIX+XgAFBXx+FVRJ3pnWEJADabdS/8icicXC4ftm4t6/P7wWoNa04KZ8CSiIiIeog1YJmVxf57RAPpa+AOANjt7AVL1JmaYdl94ISWamvb9ds4EVEUkpIq4HT6+n3M2rV9Z2CaGQOWRERE1ENTU2wBy/z8Jo1WQmRdVVXBjIjeSlw9Hj/8fg4BIVLpPXQHAKqrGbAkIrmo5eD9tcPYvr3coNUYiwFLIiIi6iHWDEsrNwAn0kp/JeEAUF7OPpZEKiNKwuvqGLAkIrmoAcv+ssutOimcAUsiIiLqoakptuEGAwViiOhASXhfFyG7d1cbuBoiuRmRYVlfz96xRCSP5mYn0tIGPhcoLbXmDU4GLImIiKiHWDMs2QeMaGD99bAEgMzMOoNWQiQ/IzIsGxv1D4oSEYVr48aSsPr2xnreLisGLImIiKgHtYdltMMNYu2BSRQPBspEzstjL1giAFAUxZBgIo9dRCSTxMQiAANXPFl1UjgDlkRERNRDrHdqOeGYaGDq0J2+lJbajFkIkeTsdje8Xv2HULW0MGBJRPJYv74EQHgJBFacFM6AJREREfUQa8DS5fJptBIia7Lb3Whr8/T7mJoatlYgAozpXwkAra0uQ56HiGggxcUtKC5uCfvxVpwUzoAlERER9RBrWVwgoMDtZtCSqC8DZVcC1u1JRRQpI/pXAoDd3v9NBCIio6jl4OGy4qRwBiyJiIioBy0CJeXl1pxYSKSFgQbuAIDT6TVgJUTyMyrDsr2dAUsikoNaDj5Q/0qVFSeFM2BJREREPTQ1xX5xmJXVoMFKiKxJzbDs70JEUZhlSQQcyLAM98I9Wg4HA5ZEJJ7fH8CGDcGelOEOwLTi+QIDlkRERNSDFic9eXmNGqyEyJrCybAEgIyMGp1XQiQ/ozIsnU62MiEi8fbsqUFLS2Q9da04KZwBSyIiIurC6fRqctEWSaNwonhTWRm8qBgocyI93Xo9qYgipWZYhptpFC32XiYiGaxfH93Eb6tNCmfAkoiIiLrQqqSEPSyJ+hZuhmV2NlsrEBmVYenzBQx5HiKi/iQmRhd4tNqkcAYsiYiIqItYJ4SramvbNdkOkRWFMyUcAIqKmKlMZFTA0u/XOYWTiGgAHR1e7NhREdXP7ttXp/FqxGLAkogoDq1eXYh//CMfhYXNopdCEtIqw7Kx0XrNv4m0opaEDyTcTEwiK1NLwo3gcrEsnIjE2batDB6PP6qfLSmxabsYwRiwJCKKM4qi4PnnNyIvrwOPPrpS9HJIQloFLG22yJqFE8ULr9eP+vrwAjBGBmqIZGVUhiUA2O1uw56LiKg7tRw8ISHyn7XapHAGLImI4szevXXIyQlOb87KYm806qmpKXhhGM2JUmdOp1eD1RBZT01Ne9jDQ9rbPfouhsgEjAzc8yYBEYmkBiyjGTJmtUnhDFgSEcWZb7/NDP23zeZCIMB+TdSVVndn/X6FAwyIehFuOTgQ/BxxcjHFM4fDA6fTuM9ATQ37LxORGHV17cjMjK0P5bp11pkUzoAlEVEc8fsDmDdvX+jfgQCQnl4jcEUkI3XoTjR3drurqWH/PaLuwh24o8rNbdRpJUTyM7IcHODAOCISZ8OGkpi3sW2bdSaFSx2w9Pv9eOmllzB+/HiMGDECJ510El577TUona6gFEXByy+/jLFjx2LEiBGYNGkSCgoKumynubkZU6ZMwejRo3HYYYfhoYceQns7D0REFH82bSoNZQ4cddRQAMDKlfkil0QS0rL/TXY22w4QdacO0gm37UJaGm8sUfwyukS7ro7XiUQkRiz9K1VWmhQudcDyrbfewqeffoqPPvoIOTk5eOuttzB16lR8+OGHocdMnToVH3zwAWbMmIHk5GSMHDkSV199NVyuA43+p0yZgqysLCQmJmLFihXYunUrHnnkERG/EhGRUN98EywHHzo0ASeddDAAYMeOSpFLIgmpGZZaUPulEtEBkZSEA9a6+CCKlNEZlkY/HxEREEzGW78++v6VKitNCpc6YLlz507cfPPNuP766/Gzn/0Md9xxB6666iqkpKQACL6h06dPx4svvoibb74ZZ5xxBubMmYPq6mosXboUAJCTk4M1a9Zg1qxZmDBhAiZOnIgPP/wQ3333HaqrqwX+dkRExnI4PFi8OAdA8K7d+PEjAAA5OcyAo660zLAsKmrWbFtEVqFmWIZ7QVJQwM8RxS81wzLWQXDhamxkwJKIjJeX1xTxDc3eWGlS+BDRC+jPBRdcgJkzZyI/Px+/+MUvsHfvXmzfvh3vvvsuAKCkpAS1tbWYNGlS6GcOPfRQTJgwAUlJSbjnnnuQlJSEww47DOecc07oMZMmTcKgQYOQnJyMW2+9tcfzut1uuN3u0L/t9uAfjdfrhdfLiadWo76nfG+Nx9feWIsXZ6O93YOEBGDkyEH42c+CAcu6una+BxYT62ersTF4cXjQQQkYPDi6K0S3O4BAAKioaI2rvy/u18Qx02tfWdkKIJjtPmRI358xjycAvz/4eDP8Xnoy0/trNaJf+9raYIB/yJD+Py+xUo9bNluHNH9nol970hffX3FkfO3XrAm26Ro0CBg2LPLcQkVR4HIpCAQUlJc3Y+zYUVovURORvOZSByyff/552O12nHLKKRg8eDD8fj9ef/11TJkyBQBQW1sLADjmmGO6/NwxxxwT+l5tbS2OPvroLt8fMmQIjjjiiNBjunvzzTfxyiuv9Pj6pk2bcPDBB8f8e5GcEhMTRS8hbvG1N8b77wdLDO688xhMnjwWdXXBGzOBgIIff1yBoUOlTrqnKET72aqpsQEA/vvfn+PEE6M77n30UTnWr2/GwQfbsWrVqqi2YWbcr4ljhte+oCBY4v3qqyfh1FMP6fNxS5bU4+uvq3Hood64/Bz1xgzvr1WJeu2Tk4NVcddc8xM89NCxuj3P1Kkl2LmzFUcc0S7d541/99bG91ccmV77+fOD12pTpozF7bcfM8Cje1IUBVOm7ENHRwBLlqwLJafIpqMj/Cx2qQOW33//PebOnYt58+bhtNNOQ0ZGBv76179i3LhxePDBB3V73hdeeAHPPPNM6N92ux3HHXccLrvsMhx55JG6PS+J4fV6kZiYiCuvvBJDhw4VvZy4wtfeOPX1DmRk7AUA/PhjPdavb8IXX5yGhATA51PQ1nYC7rvvdMGrJK3E8tlSFAUdHcFJ8i+8UIBBg6LLZvF6AwCA5GQXvv76uqi2YUbcr4ljltdeURTYbMHP2L//XdTvZ8znC9aMp6TYcd118fM56o2e729ychVefHETpk6dhN/8Zoym27YC0Z+tJUtWAKjH6tWNWL++Sbfn8XiCx62MDD8+/liOz5vo1570xfdXHNlee6/Xj/vvfw8A8P33tVi0KLre1W53cD+2b99wPP64HPux7pqawt+PSx2w/Pvf/47nn38e99xzDwDg9NNPR1lZGd588008+OCDGDMmeEJRV1eHsWPHhn6urq4OZ511FgBgzJgxqK+v77Jdn8+H5ubm0M93N2zYMAwbNqzH14cOHSrFHzPpg++vOHzt9bd4cR78/uCFr9utYNCgABISEpCQEOyhtnlzGX7/+7MFr5K0Fs1ny+HwwO32Awj+rQAxdP1GcIBPPH6+uV8TR/bXvrGxI+LPmMvlx+DBQ6K+gWAlery/X365F1u2lOOxx1YhLe1RTbdtJaI+W01NwWGqPp8SCuLryW73SrcPkX2/RrHh+yuOLK99SkoN2to8ALQ5/87MbJDi9+pNJOuSuv6vo6MDgwZ1XeLgwYMRCASjxuPHj8eYMWOwYcOG0PftdjuSk5Nx/vnnAwDOP/982Gw2pKWlhR6zceNGBAIBTJgwwYDfgohIvG+/DWbzdG9Yr/47Pb33FhkUf7Ru1N3RIU9vICIZVFVF11Bf7XtJ2issbAEQHHhA8jF6CI7D4TH0+YiI1OngWg0Xs8qkcKkzLG+88Ua8/vrrOP7443HaaachPT0d7777Lv7whz8AABISEvDXv/4V//nPf/Dzn/8c48ePx0svvYRx48bhlltuAQCceuqpuOaaa/Dwww9jxowZ8Hq9ePLJJ3HPPfdg3LhxAn87IiJj5Oc3ISWlCkDPibSDBiXA71dQWmozfmEkpaYmbQOWXm8AiqIgwajxrkSSi3YCaFpaDY4//jBtF0MAgMLC4BR2h8OLQEBhJqtk1CnhRuGNNiIyWmJiMGDZ/VotWi0t1pgULnWG5Ycffog77rgDjz/+OE499VQ8++yzePTRR/Haa6+FHvPcc8/hz3/+Mx555BH87ne/Q3t7O9asWYPhw4eHHjN37lyccsopuOKKK3Dddddh4sSJmDlzpohfiYjIcHPnZvb5PTWJva3NA5/Pb9CKSGZaZ1gCxmfHEMmsqio48TjSGP7evdH1s6L+ORweVFe3hf6dn98ocDXUm4YGY48hLpfP0Ocjovhmt7uxa1elptv0+xVUV0d3g1QmUmdYjho1CtOnT8f06dP7fExCQgJeffVVvPrqq30+5ogjjsC8efN0WCERkdwURQmVg/em8wXzzp2VuPjiEwxYFcmsqUn7C8OcnEYcddRIzbdLZEbRloTn5TGQpoeiopYu/964sQSnnHKUoNVQd263D3a729DnVIfGEREZYcuW0tCsAS2tW1eM//u/szTfrpGkzrAkIqLY7NpVieLilj6/37lMd/XqAiOWRJJTMyy1rODOyWnQbmNEJqeWhEda9sXWHfpQy8FVKSnVglZCvRGRoe/zMWBJRMZRy8G17p60fXu5thsUgAFLIiIL+/bbYDl4OAdArUsRyJy07mEJ9AwIEMUztSQ8UtXV7RqvhICe+6fsbN5gkYnR5eBA8GaC38+gJREZQ+v+larMTPO3kmHAkojIojwePxYsyAIQ3gGQ01EJOJBhqeVJEzPDiA6INmCpR7sG6hmwLCvjNHaZGD1wR9XWxknhRKS/yko7cnP1aflihUnhDFgSEVnU2rWFEWXL1deLuSgguegxdKfzQAuieBftlHBOLtZH94ClHvtAip6IDEvAOhN2iUhu69cX67ZtK+zHGLAkIrIoddhOuP1Q/H4FlZXMLIl3epSE19czM4wICAYdbTZXVD+rKEBra3Q/S33rHrD0+QJoazN2yAv1Tc2w1Lq320BqatiCgYj0pwYs9djHWWFSOAOWREQW1Nrqwo8/5gKIrLR3+fJ8nVZEZqFHdhEzloiCop0Qrtq71/z9qGTidHpRUdHzPdm2zfyDCqxCVIYlKwOISG+KooQCllr3r1StW6dfBqcRGLAkIrKgH37Igdvtj/jnNm8u1X4xZCp69Mlrb2cvMCIg+nJwVXp6jUYrIaDv/l7btpUZuxDqk5phqdfFfF/q6phhSUT62revHnV1+rbkMvukcAYsiYgsKJLp4J1lZtbrsBoyEz2yIT0ePxSjrzaJJBTtwB1VVhYnWGupezm4KiODmayyEJVhKep5iSh+6Nm/UmX2SeEMWBIRWUxFRWsoUzLSGFF5OXtYxjNFUXTpYQmw9x4RcKAkPNpeVUVFLRquhtSAZff3o7CwScBqqDeiAoeNjRxESET6SkzUr3+lyuyTwhmwJCKymPnz90ddOtXR4YXb7dN2QWQa7e0e+HwBXbZdWMhAC5FaEh7tPjrWknLqSg1Ydn8/OHBFHmpJuNHYe5mI9OR2+7BlSykAfVtemH1SOAOWREQWE205uGrjxhINV0Nmold2JQBkZbHdAFGsJeGigjdW1VdJuMPhRSDANhYyEJVh2dLCSfFEpJ+kpEo4nfoniZh9UjgDlkREFpKZWYd9+4KBoWjv1q1dW6ThishM9MwoKSjoPTBAFE9iDVi2tXGAlZb6ClgCQG5uo4Erod74fAFhmY5sY0JEekpMDF5v6VkOrjLzpHAGLImILETNroxFamqVBishM9LzwrC0lCXhRGoPy2j5fAF4vX6NVhPfPB4/ysr67tu8aROrDURrahI3+MZuZ4YlEelH7V9pxExKM08KZ8CSiMgi/P4A5s3bF/N2mAkXv/S8OKysjC2zjMjsfL6AJr0RCwo4EEYLJSUt/ZZ9p6Tw5p1oIid1OxxeYc9NRNbW0uLE7t3Vhj2fmSeFM2BJRGQRW7aUxVxuCAT7GCpG3O4j6agZlnqUp9TXs/cexbe6unZN+iLu3l2jwWqov3JwAMjOZkm4aCJ7tjocbL9ARPrYuLHEkMxKlZknhTNgSURkEbEO21EFAsqAF3JkTXoO3dFz20RmoMUNJQDYt8+8mRIyUY9zfR0zy8ttxi2GeiUyw9Ll0n8YBhHFJ7Uc3Ij+lYC5J4UzYElEwnz8cSqWLuXkYC04nV4sWpQNQJteKMuW5cW+ETIdNcNSj7u+7AdG8a6yUpspnfn5LAnXwkA35pqbOXRFNDXD0qiL+s48HvaKJSJ9rF9vXP9KwNyTwhmwJCIhmpudePrpRHz1VbWhPTysavnyfE2nx27bZt7mzBQ9PbMg3W5mq1B8UwfuxBp8KS/ve1AMha+wMDgIrK8LRp8vwBstgonMsPR6A8Kem4isq6SkBUVFxg+iVLM6zYYBSyISIi/vQG+oefP2C1yJNWhVDq7av5+Zr/FIzynhigJ0dHCIAcUvrUrCa2tjH9xDA2dYAsC2bWUGrIT60tgYDFiKaKsdCCjs501EmhMVODRrMgoDlkQkRG7ugYDlrl2VAldifo2NHVi9uhCAdif1WpUukrnoOSUcCN5VJopX6n411v20zcZS5Vh5vX6UltoGfJxZL/CsQmSGJcCbbESkPbUc3OhWF2adFM6AJREJ0TlgWVDAIEYsFizYD59P29Ilt9uP9naWwsUbPTMsASArq0HX7RPJTKsMS5fLz8yvGJWXt4Z13MzIqDVgNdQXkVPCAaC1lTcHiPri9fpRV8eM/0j4/QFs2FACwPjMcbNOCmfAkoiEyMs7MDSgtdUNr5fNzaP17bf7AGh/p27t2iJtN0jS0ztgmZ/fOPCDiCxK7WGpBZaFxyaccvBIHkf6EJ1hKfr5iWT29NNrMWbMO1i3rlD0UkwjPb1W93Ptvph1UjgDlkQkROcMSwBYu5YHu2gUFjaHSuq1vlOnlixQfFAURfeTqOJim67bJ5KVoiiattpIS6vRbFvxSA1EDnSjr6aGgWGRRGdYapUVTWQ1Ho8fc+bsBQC88cZ2wasxD5HXVmadFM6AJREZzuv1h6ajHXnkUADBKdcUublzM3Xb9u7dvCCOJ3a7G36/vvUpFRWcbkzxyWZzwen0abY9lirHJtzMyY4OLwIBlt+LEAgooaE7orDclah327aVoa3NAyDYYoPCI3pSt+jnjwYDlkRkuKKillDvqN/9bjQAIDm5SuSSTElRlFA5uB6KilgKF0+amvQvFamrE5stQySK1pla3asUKDKFhcGbpuFUJuTksPeuCDabS/ebaAOpr+cxi6g3nRNN2DohPB0dXmzfLnaQm+jnjwYDlkRkuLy84IVWQgLw858fDIB9oqKRklKl6+tms7k42CGOGNFTR3S2DJEoWpaDA0BJCYfVxSKSY+emTaX6LYT6JLocXJY1EMlGUZQuAUuHwyNwNeaxfXs5PB6xMxv27jXfpHAGLInIcGpmyODBCTjppGDA0uHwwun0ilyW6Xz7bbAcXOthOypFMeeBjaLT1KR/MNFu5+R5ik/qwB2t9tfV1eytFy2/P4Di4vADvikprAARQYasrcZGcw6pINJTbm5jl32oohhz09vsEhODw0z1um4LhxknhTNgSUSGy80NTghPSACOO2546OurVhWIWpLpeL1+fPddFgDth+10tmIFe4vGCyNONrXs4UdkJlqXhDOQEr3KSntEWS4sCRdDhuzGlhaX6CUQSae3a4PUVN7YGYjaP1Jk8ZoZJ4UzYElEhutcEj54cAIG/W9PxOBY+NatKzKkvHbHDvP1OqHoqD0s9bzzGwgowsthiERQMyy1ulDp6GBFQrQKCiJrpVJWxoESIqgZliKzkVpbGbAk6m7FimCCSefP5u7d1YJWYw719Q4pqtb8fgW1teYaJsaAJREZSlGUUEm4eqBT/z81lQe7cKnDdvQ+kc/O5mCHeGFUOU9lJS/+Kf5UVmqbYRkIKGhvZ4uFaKj9K8M9fjLLTgwZMizZxoSoq+ZmZyiZofMNuKysekErMocNG+SZzr12baHoJUSEAUsiMlRDQ0fo5F+9WBg0KPgfkfSUimd2uxtLl+YC0L+soKaGfdLihRqw1PtvKiuLQXCKP2qGpZb27eMFYjQiHVbn8wWYaSeAmmEpsnyyvZ3DRIg6W7OmEH5/zw9lURGv4fqjloOLzBhXmW1SOAOWRGQoNbsSABL+t9dWS8KdTh/a2ng3eyBLluTA5TKmF6DXG0Bzs/jG96Q/tSRcb3l57AdH8UfrHpYAkJZWo/k244EasIwkELZ1a5lOq6G+yDB0hwFLoq7U6eDdA296HOOsQlEUrF8vvn+lSobS9EgwYElEhlL7V3bW+aD34495Bq7GnIwqB1etWiVf6cDChVmYPn0XFBmO/BZhVEl4UZHNkOchkoXL5dOl5zBL8KITaYYlAGzbZq6MFCuQoSScg+KIDvB6/VizJnhN0P3026ib3maUn9+EigrtqyyiZbZJ4QxYEpGhuvevDP73gX+oB0LqXXV1W6gPilGxOpn6rgDBkvgpUxbj6afX4scfc0UvxzKamozJZqmosBnyPESyqK7WJ/OEJXiRCwSUqF43s2WkWIEMGZZGVbMQmcGOHRWw2Xpvj+Fy+ZhE0Ae1HFwWZpsUzoAlERkqN7cJQN/BNk6Z69/8+fsMLydIT6819gkHkJhYBK83AAD45JPdgldjHUZlWFZXm2s6IVGs9OhfCQCVlfJkbJhFdXVbVEGoaLIyKTYyZFj6fH7RSyCSxooVvZeDq3hM6p1aDi5D/0rAfJPCGbAkIkP1VhLeWWmpzZiFmNQ332QCMPagV1IiVxbPypUFof9OSakSuBJrMaqcR4/SWCKZ6XURV18vPqBjNtEGHs10cWcFiqJIkWHZ23ARonil9q/sK3Fi165KA1djDj5fAJs2lQKQo3+lykyTwhmwJCLDuFy+AftmuN1+wzK9zGbfvrpQWZqRBz273QO/P2DcE/YjEFCwatWBgGVrq1uKLAyzCwQUw0pE+ionIrIqdRiB1jea7HYOqYtUtAHLjg4vAgGJrjYtrq3NA49HfHajogT79hHFu/z8JuTnN/X7GNkqsmSQklIl5bHaTJPCGbAkIsMUFjaHdcK/eHGOAasxn7lz9wl7blnumu7ZU4O6uq4Bys8+Y1l4rGw2l2FBcA4xoHijloRr/RnzegPw+eS4mWQWasAymuAxhxwZR6YbkTIGG4iMtnJl/oCPyc5uMGAl5iJbObjKTH2ZGbCMA8uW5WHGDF7Qk3jqwJ2BrFtXpPNKzCcQUIQGLDtnNYrU2wnT0qWcLB8rI7Oafb6ANBm7REaorNRn6A4AFBfL1bJDdmrAMprgsVrWR/qToRxcxaofogPl4P0F3tjWqyd14I5M5eCAuSaFM2BpcR6PH/fcswiPPbYyrDsjRHpS+1cOdJdpz54aA1ZjLlu3lgltZi1LhmXn/pWq/fuZ9RIroy/I2A+O4oleQ3cADqqLVCzDc1JT2TPZKDL1Oq6u1u+GA5EZ2GwubNsWLCHuL/BWU8Nzu87a2tzSXD91Z6ZJ4QxYWlxGRm2o/O6TT1IFr4bi3UATwlUVFZwy19233xo/bKcz9b0Tqa6uHampPS/O3W4/9u0zT2mDjJqajL04zMlh2RDFD7WHpR4yM7nvC5eiKDEFLHNywqsSodipJeEylFEyCEPxbu3awrDaj7BHeVdbtpRJ27bFTJPCGbC0uOTkyk7/zTvDJFa4JeEej980O1EjuFw+LFyYDUBcSYEM02hXr+57oh3bXsRGzbA06uIwJ0d8AJzICIGAomuG1kBDEOiAujoHHA5v1D9fVtaq4WqoPzKVhNfV8XyU4tuKFcHqpoHOET0eP1v+dJKYGGxxJsONl96YpQUbA5YWt2vXgSBlU5MTDodH4GoonimKEioJDwcH7xywYkW+8KbvPl9AeFmUWg7e24F/7VpzHHRl1dRkbGlIURGDLBQf6usdumZYlJXZdNu21cSSXQmYq4TO7NQMSxn6vsk0AIjIaD5fINTHPpzPY0EBz+9UsvavVG3bViZ6CWFhwNLiOmdYAsA332QKWgnpISurHq++ugUej1/0UgZUU9OOtrbwA+ZmuetjBNHl4KoVK8T1wfV6/aG/id4O/CUlNgQCvKsbLaN7WJaVse0DxQc9+1cCQG0tgynhivVC2u9XGLQ0iEwZlo2NfM8pfu3aVRnROWLnZKl4VlVll76NiFkmhTNgaWENDQ4UFXWdHrloUbag1ZDWFEXBvff+gH/9azNeeGG96OUMKNxycFVGRq1OKzGXpqaOiO5s6mnz5lJhz719e3m/WaaBgNJvyTj1T+1hadTfWHU1A5YUH/TsXwkw6y8SaobloBiufrZuNUdGitnJFLA0usczkUyWL88DEH7SBK/fgkReM4XLLFPdGbC0sJSUnnc40tI4TdIqUlOrsW9fcDqy2ltEZmrAMtwDnt4XeWaxcGE2vF45MgdFnoT0Vw6u+vLLDGMWY0HNzcY2SpdpAiyRniorg8F5vTLkXS4fFNF3s0yisDB4Ez+WZPzt28s1Wg31R6Yy7NZWsS15iERSrzHDPcxE0v7LyrZsCd7cEl0d1x+jq6uixYClhe3aFSwH7/xBsdncsNnM8cdJ/fviiz2h/y4vl78RfKQHMJ8vgPJymz6LMRFZysEBsX9nasCyvxOmbdt4IRktozNIjA6QEomid0m4ovAGQLhi7WEJmKeEzuxkyrBkwJLiVXFxC7KzGyL6GQ4nC1IzLGW+n2iWSeEMWFqYOhW8+wdl9uwM4xdDmmpv92DevP2hf7tcPrS3y31ClZsb7B0VyY473lsYFBe3YMeOCgByHPAcDi88Hp/hz1tc3BJWS4H6egc6OjhYLBpG32XlADiKF2q1gJ778D17avTbuEUoiqJJwLJ7qyXSh0wZlm1tcp9fE+klmt71ZgiA6a26ug0FBbEfb4xghpkRDFhaVCCghAKW3S1ZkmvwakhrCxdmob296wW/7FOSI+1hCQAbNpTosBLzmDdvn+gl9KCWOBhp5crwT5i++mqvjiuxLqMDll5vgGWsFBfUknA9paezZ9hAGhs7+u2DHC5ejOvP6fTC4fCKXkYIb7BRvFIDlpFUeTHAD2zZUip6CWEzw6RwBiwtKi+vsc8TMzbDNb8vvkgH0PUAsm5dsaDVDKyjwxtVOXFmZvyWXimKEioHl8maNcYPtgmnf6Xq+++zdF6NNYkYKmCW3jlEsTCiH3NOTmQle/FIi+xKIHg+4/fL0VfaqmQqBwcgVfCUyCh2uzuqsmafT4HLZXw1lkzU102Gdl4DMUObEwYsLUrtX9mb9nYPams50MSscnIaei0T3r2794xaGeTnN0X1czU18ZvJsHt3NfLyonvd9NTbMC89ORyeiE6Y0tJYGhkpvz8Am834O+Iy/n0TaU3vHpYAUFxs0/05zE6rgCUA7N9fr9m2qCeZysEBxH3wheJTYmJR1EM/MzPjOzlKrUYzQyGRGSaFM2BpUWo5eF+R/Vmz0g1cDWlp9uze3zuZ+ypFUw4OBJsBFxTEZ1Bj4cJg/07Z7s7l5xvbk2XDhhK43f6wH9/e7kFFBRt+R6KlRcwAnOxsXvSTtdntbrS16V9OWl3Nm9ADUQOWWhxT1ZtopA/ZMiw9nvDPQYisYvnyyMvBVSkp1RqvxjxqatpMdUPeDNVODFhalJph2Vdkf/nyPANXQ1rxePz4+uvee/S1troRCMh5K0cNWEZz0IvXwTurVg08FVsEo6fRqv0rI/nbmTFjt06rsSZRJysFBfLeZCHSghHZlQDQ2ChXRpqMCguD+xstjqnxfDFuBDXDUpYbtmwBQPHG7w/EdB0SzxmWInr9x8IMk8I1CVjabDYtNkMacTg82Lev/8yVgb5Pclq+PK/fO8+7dlUYuJrwqXeaojnobdpUqu1iTKC8vBVZWXL2JAsEFBQXGxNoUhQFq1YV/u+/w/+5aKYaxjMR/SsBoKyMAUuyNiP6VwLssRcOLUvCc3PlPD5bhWwZloEApE0IoOC5It8fbaWkVMX0OTS6Gksm6sAdWW64hEP2SeERByzfeustLFiwIPTvu+66C0ceeSSOPfZY7N3L6awy2L27esAdt9PpM0XPAuqqt2E7nanDSWQTbUk4EJ+9olavlvN9VBmVoZ2ZWRfVhN2cnOj/3uKRqAxLo4I5RKKo+y+9L1z8fgVOJ4OW/dEyYFlWxrYjepKthyUQbDdD8lm7thAnnDAdv/nNZ7DZxLS3iZWMwdZopoN3Fs25u1Vs3mye/pUq2SeFRxywnDFjBo477jgAQGJiIhITE7F69Wpce+21+Pvf/675AilyA/WvVH3+eZoBqyGtVFS0hiY097UT3LlTvgzLQEBBXl70AaS6OgcUM+31NaBmFcp6d86ocodoA/BebwApKX0PHqOumpqCAUuj/97q6uS7KCXSklEl4QCQlRV/N/fC1dzs1PTGjFkDI2ahZnbJdOrX2sr3XCZutw9PP70G11wzFxUVdmRm1uHii7+Ez2eu8v1Fi7Jx+OFvY8ECuUqoV6yIrS1VfX18nt/V1rbHlKQjiuyTwiMOWNbW1oYClitWrMBdd92Fq666Cs899xxSU1M1XyBFbqD+lSq1NwWZw5dfZgz4nubmytfkt7LSDqcz+gmLgYCC/fvjp/zK7fZhw4ZiAHKdrHdmVEuJWDKGP/uMN2TCJSrD0gyNvolioWYRG7EvT0ur0f9JTKqoSNvyRL9fQUsL9196ka0kHID0Pd7iSXZ2AyZMmIXp05MBHLjZum9fPSZP/kHgyiKzc2cF7rtvMZxOHxYtqkNhoRzXcGVlNmRmxhbAitc2JVu3yp2p2BfZq24jDlgefvjhqKgIZnGtWbMGkyZNAhDsH+H3c4qaaIqihAKWA2HZpHkEAkqf08E7k7GMRos7TT/8ED+Dd7ZtK5f+QG9EqUdjY0fY+7LebNhQouFqrE1U4JAldmR1RpbFxWP7lHBpWQ6uUvuUkfZkPJetrmbAUjRFUfDpp6n47W9nhjLCEhK63hBauDAbb765TdAKw1dU1Iybb/4ObncwduL1KvjDH1YIXlWQFu3FAgEFdnv8ZSVv3lwKQN4Kub7InkAQccDytttuw+TJk3HllVeiqakJ1157LQAgPT0dJ598suYLpMhUVtpRUxPeQdXt9iM7mye4ZrBhQ3FYPZP8fgXFxXI1Oo5lQrjKbBPXYqFmPst8sHO5fOjo0DeoumZNYUx9fcrLWznZM0zq0B2jM3o9Ht7kJGszsk+rHkE5qygoCL42Wh5Xt2+XrwWPVciZYcmeyyI1NnbgllsW4PHHV8HlOlC11dt5yz//uVHqKsKmpg5cd908NDYG/84POii4Y9q1qwoZGeJLw5cvj61/pWr37vjL+levV2WtkOuL7JPCIw5Yvvfee3jyySfxq1/9ComJiTjkkEMAADU1NXj88cc1XyBFRu1fGa7PP9+j00pIS7Nm9T9sp7MffzRmIEq4tMiwjKfA+urVkU/FFiExUd+Jcuod3mhPmBQFWLw4R8MVWVdzs5i74IoCtLW5hTw3kRGM7GFZURG/Qw4GogZztTyuyt7zy8xkzLCUMYgaL9avL8YZZ3yKZcuC1zeDBg18YnjLLd8hP1+OEuvO3G4fbr11QZe1DR6cgLPPHgUAePDBJaKWBiBY+bJxY7BCKdb9ZWpqZDEJs6uvdyA727wtzPS+rotFxAHLoUOH4tlnn8X777+P3/zmN6GvP/300/jjH/+o6eIocmoJ5aAw31nZx9hT8K7i0qW5AMI7eMjWPyMvL3hQjuXA19DQEReDd4qLW0zTrFnPfYfPFxhwwFQ45szJ1GhF1qZmWIrArDCyKo/Hb+jgAQ6x6pse+xmt+2JSkMfjR2urfDey1Gw4Mo7H48ff/74OV175TZfqwXCqb7zeAC644AuphiUpioI//GEZtm0r7/G9KVPGAgAyM+uxfXvP7xtl/fpizapf4q1NidnbhMgWP+gs7IDl448/jvb2AzuL+fPnw+E4cHJks9lw3XXXabs6ipiaYRkIsxJSLZMheX37bWZEBw+jBqKES4sAnKIAu3dXa7Aaua1eLW8JS3d6lnokJVVoMoU1KYkle+EQ2bvGzHejifpTU9NmaKa83S5fkEcWegQsZS6fMzORN9D6I+u6rCo3txHnnTcL06YlAYiu2qapySnV5PB//Wsz5s3bB6Dn73PSSQeHko3+8IcfDV7ZAStWaFMODgBFRS2xb8RE1HLwcJPGZBProCU9hf2SfvbZZ+joOLCzfvTRR1FXd+AXc7vdWLt2rbaro4h4vf6IgzpebyDuUrbNRFEUfPFF+OXggLFN/gdit7tRXa1N3594KO9Vy8Fl7l+p0jMzLtZycFVTk1Oqu+uyamoSF7CUsWSLSAtG9q8EgtlI7NvbU2urS5dyXqfTx9dbB7KWXre08FzCCIqi4PPP03D22Z8hPT3Yz7H7YJ1IZGbWY8qUxRquMDpffZWB117bCqDv32fo0OBJb0FBM1atyjdyeQCCmatqwFKLm20yXY8aQR24E27SmGxKSmyil9CnsAOW3csx46E802z27avv0og4XOFMnyYxUlKqQin14X7k3G6/NEEaLYMRvZVQWInT6dWsb4wRWlqcuh0H1IClFptXA/7Ut+ZmcReIMp8gEcXCyP6VqtJSm+HPKTs9s3xkq2ixAhn7VwKQ5rzaypqaOnD77d/jkUdWwOnsf7BOJL7/Pgv//e/2GFcXvY0bS/Dww8sB9B987dyb89FHVxqxtC7S0qo1bS0ST1nJDQ0OZGWZu2JI5knhJk1apd6o/SsjtWFDicYrIa3MmhUcihRpppks0/G07Mdolt6O0dqypazLCZrsFEWf/jTl5a2abnfRomzNtmVFXq8fdrtH2PPH2x14ih/q37aRGfNpafE3lXUgelYDbNrE82etyZphKfI4GQ82bizBmWfOwJIlwZ794QzWicQLL2wQ0nYpO7sBt922AD5fIKJM0cpKO+bP36fv4rpRsyu14nT64ibBTeb+j+GSeVI4A5YWovavjPTkuLi4JW52KGbS3u7Bd99lAYj87mJiYrEOK4qcGmTUop9Hc7MzrEbbZqWeSJmhHFyl9ckNAKxcqe02Ocm1f6LL3DgohKzK6JJwQO4eVKKoAUs9jq2pqdbvrW00NcNStnOh9nYGLPXg8fjx/PPrMWnSnC77TD3O92+++TsUFBjXhqaurh3XXz8vNEQq0mu5v/xljaHX58uXa3v+rSjx0+tXLQeXbb8VKVknhQ+J5MEvv/wyDj74YACAx+PB66+/jkMPPRQAuvS3JDHUDMtI921+v4KtW8twySU/035RFLXvv8+K+gRpzx45sizUgKUW/TwUBdi5sxwTJ54Q+8YktGpV7FOxjbZ9u/ZDbTr3r9Titejo8KKoqBknnXRE7BuzINElIPFUMkTxRb34NnKfnpdn7UqEaKgBSz3eB6tXfogga4alw8GApdby85swefIPocxwrc77+uL1BnD++V+gqOgpHHrocP2eCMFzzxtvnB9Tm46Ghg7MmJGGxx47R7uF9aGqyh7qGaql5OQq3HLLKZpvVzabNwczLM10DdebrVvLcP/9Z4peRg9h5z1dfPHFyMvLQ3p6OtLT03HBBReguLg49O+8vDxcfPHFeq6V+tHc7IypX+BXX2VotxjSRLTl4EAwa1YGeXna3slUS0WspqCgSdeyNb1kZ2tbEq5XH89PPknVbmMWIzpgyMnGZFUi2h2UlrYa/pyy0/PYWl7O11traoalbBf+ZmrZIztFUTB7djrOPvszw4KVKiMmh/v9Adx332JNMrBfeGG9IdVlelRMAcCePdbPQm9s7NClRZYIslZphJ1huXnzZh2XQbFKSYlt0reaykxyyM5uQFJSdBmzANDW5oHP58eQIYM1Xln4/P6A5hOAd+zQPqNPBup0cLOprta21GPTplJdLgpWry7EO+9crfl2rUB0hqXb7Rf6/ER6ETF0p7bW+DJ02ekZsLTZOIhFa7JmWLrdDFhqoaXFiUceWdGjv7iRAerMzHrcd99ifPfdHbps/7nnEjVLsGhtdWPq1B14/vmJmmyvLytWaFvdpMrOtn4WuhX6V6pkHYQZdobls88+i9xca2Y3WUFycjC4FW3vhLKyVgS0qNslTXzxxZ6Yt7F9u9ip2qWlNng82gYjrFrupg5JMlvvE49H24n0av9KrV8HrQPnVtLUFAxYivrbCwQUOJ1eMU9OpBNFUYT0sGxuZgCtM4fDg5oa/Xqo+f0KmpvlDLCZlawBSz0z8uLFli2lOPPMGaFgpdaDdSKxYEEW3nprh+bb/eSTVLz77i4A2p1XvfbaVl3//jo6vFi/Pjj7QOvAcUmJHBV/etqypRSANvMaRBOdxNCXsF/aH3/8EaeddhouuOACzJ49Gw4HG+XLZNeuYIZltDsaRQHWrJGz0Wq88Xj8mDMnM+btiJ4UrnU5OADYbG74fNbKyOro8IYynGUrgQqHVn9niqKE+ldq/Tr4/Qo2b+Y0197IcHJSVmYTvQQiTTU2dmh+wy4cTqeXQxQ7KSrS/2JZ7V1G2lBLwmXj9/NzFS2v14//9/824LLLvkZFxYHMc9GDNJ9/fj3WrNGuwmnlynz8+c+rAQSDV1rtijs6vHjppY3abKwXGzeWwOXSJ4NY60osGanHACvkfck6KTzsgGVBQQE2bdqEX/ziF/jLX/6CMWPG4A9/+AN27typ5/ooDIqihDIsYzFnzl4NVkOxWrYsD42Nsd9hVkvKRVGb0WuduWW1i4NNm0pMXRa7YYM2E+mzsxtQVqZfP7BZs9J127aZie5hCQBZWQ2il0CkKRHZlUDwAlmGmxCyMKI39I4dYqtZrEbWDEsAugV1rO6OOxbijTe2Q1HkqyS6+ebvNNlPpKfX4O67FyEQUJCQoH3w6r33dsHl0qcaZfnyPAD6vDctLdY+HjU1dUjb9zFaMk4Kjyh59eKLL8ZXX32F2tpavP/++ygoKMDEiRNx6qmnYtq0aairs9YbZhYFBc1oaYm9DEh0CTEFxTJspzM9MhwjoQYstU72+PFHa7WmMGs5uGrPHm2mCqrZlXphn97eqcENkUlZovdVRFoT0b9SlZGh/aRXs1IDEXoeX/fu5bWPVvz+gBQ30fqiZQuceFFaasOyZQcCYrIlgHs8fpx//hcxvbeVlXbccMN8OBzBgKIev6Pb7cff/rZO8+0qihLqX6nXukVn0upp2zbrxU5k7MkZVbX9yJEj8Yc//AHbtm1Dfn4+brvtNrz55ps4/vjjtV4fhUGL7EoAqK5uY48WwcrLW7FuXfDORqwHjqYmp9DSMDVgqbWdO60zeEdRFKxaVfi//xa8mChpNZFeDVjqdWFZVdUGj4fZEd2pPSxF0upviEgW6oRwETei0tMZsFQVFARvhuh5fDWi7DxeNDc7pT4X0qL6Kd6ovckBec9zGxs7cPHFX8Hvj/wa2G534/rr56G6Wv+s+pkz96C93a3pNjMyanVfu5XP8dRkCCv0r1TJmDEa08vrcDiwbds2bNmyBS0tLTjxxBO1WhdFYNeu2AbuqBQFWLIkR4MVUbS+/DJdswN6IKAIHTaiV9ZUQYH+JV5GyctrQmmpTfQyYtLa6o757mlLizNUVqfnCe38+fv127hJyVA+WlGhXysAIhFElYQDQE4OWyyoCgv1v1Cuq5Ov35dZyVwODkDXAU5WpffNaK1kZtbhvvsWR/QzPl8Ad9+9yLAAj88XwGOPrdR0m8uX5w/8oBhplVglIzVgaYX+lSoZJ4VHFbDcvn07/vCHP2Ds2LF46qmn8Itf/ALbtm1DTg6DXSIkJ8c2cKezuXP3xb4RiorfH8Ds2RmabvPHH/M03V64mpudqK/Xp3F6W5vHMplyogcjaSU1tSqmn1+3rsiQhvbz5nH/1p0MAcvaWjmHLBBFSy0JF5FRxIy/A4zoYel0+qLKzKKeZB24o6qpEXcjwowcDg82bgwOPJQ1u7Kz777LwtSp4U0OVxQFTz65StOhPeGYN2+/pm0TVqzQP2Bp1az/5manlNmIsZLhuqC7sAOWNTU1+O9//4tTTjkFF198MXJzc/Huu++ipqYGs2fPxoUXXqjnOqkPTqdX0/45oge1xLMNG0pQXq5tptG2bWL6UOTl6VMOrlq7Vr6GwNEwe/9KVaz9J426A6/e3KEDZCgJl7lnGVE0RGZYinxumTid3lBpvt727rXmBbnRZM+wrKuTO6Aqm40bzTdUMtzJ4dOm7cRnn6UBMPYcPhBQ8NBDyzTZVk1NG1JTqzXZVn/0ahEm2rZtZaYIxEdKxknhYQcsjzvuOLz33nu44YYbkJWVhZ07d+KPf/wjDjnkED3XRwPYs6dG076T9fUOuN3WyF4zG62G7XS2f3+9dhuLgN5DNIy4I6i39nZPqLGx2Q94SUnR9xX1+wNYvdqYPp6trW7pMziM1tws/gKxtVXbnkxEohkVKOsN93FBRvZN27xZviEFZqT+7cp6E5c9LCOjnqvL+n72RlEGnhy+aFE2nntuPQBg0KAEw8/hly3L02Swm1FVXmZvfdWXLVuC+30r9a9UyTYpPOyX+Pvvv0dVVRWmTZuGU089Vc81UQTU/pVamj9frrLJFSvyDSnrEamhwYGlS4PTr7U88BnRBLo36t00vU5SrJApt2FDMbxea5SR5eREf/c0NbXa0IuAmTP3GPZcsvN4/Ghv94peBpxO8WvQUlJSJfbtY5ZbPBOZ5dje7hH23DIx8rwx1rYoFCR7hiUDluFTFCVUPWO2m/Lq5HC7vefN1F27KnH//UsABK9xREzAVhTgwQeXxrwdtX+l3gFl2bL1tGLF/pUq2SaFhx2wPO+88/D888/Dbu8Z0W9tbcXf//531NVZr45fdmrgRsudzYIFWdptLEY//piLG2+cj4sumi16Kbr69ttMXYJXHk9ASAaVGrDU6yTFCgFsq5SDA7GVSakTJI16HThY7ABZ+tT4/YqmlQIiNTZ24Kqr5uKll4owbVqS6OWQAA6HBzabS9jz+/0KXC5WyqjnCUYcW6xa8mg0NcNS1gCXLMdMM9i7t87U7SmCk8O/7NKftri4BTfdND+0fxX5d7phQwkKCqKvZnO5fEhMLAZgTHWT1bS0OJGRYd1WILL15gw7YPnuu+/Cbrdj9OjRPb536KGHoq2tDe+++66mi6OBqRmWWu5sjOhnEa6pU3cCCA5lWLfO2MbGRlEUBbNmpQPQ58TaiAlw3el98u5weNHRYd4sEkVRDCuDNoLPF4h6UqrRd+BFtUmQkUy9I7Uob5LBokXZoZ5d//znJrz55jbBKyKjyXCRzgDagYClEceWigpr7L9Ekz3DsrVVzI2I5mYndu60mWq4k3oz2sz27q0LZVM2Nztx3XVzpfobfeCBpVH/7KZNJejoMKa6xecLwOMxVy/TgWzfXm6J67e+yDYpPOyA5Zo1a/DAAw/0+f0HHngAK1as0GRRFJ7q6jZdTpKampxoaxN/NyQpqQI7dx7ojffBBykCV6Of5OQqZGc3ANDnxHr9+hLtN9oPr9dvyJTSWAe9iJSV1WC5C5xo+opWV7cZPj3Q7fYzaPk/MmWLqPtAs5s/fz8A4PjjhwMA/vnPjfjPf7aKXBIZTIbge1qaPDeeRSksNK6HpciMWiuRKRjUG1GZYi+/vBlTp5bi739fL+T5o7FihXnP0TubP38/Xn99K267bYHu/fkjtWtXZdRZfkb3F83KssY5nkotB7di/0pArusDIIKAZUlJCY4//vg+v//Tn/4UpaWlWqyJwpScrN9E7zlz9uq27XC9807XcjrZ+iloRY9hO52lp9fos+E+FBe3GFLeaVSzaD2Yee192bSpNOKfEfU6zJixW8jzykaGCeEqK2SEVVS0ho5TL710IoYMwf/+exNeeWWzuIWRoWTIsORNGWNbx/j9CvsbakD211BUf9jk5OANiK++En9tFo6GBoeu16hGe/HFTaEBK7J58MElEf+MoiihgLJRWYJW+nsADgxas2L/SiB4TIu2ck4PYQcsR4wY0W9AsrS0FCNGjNBiTRQmPfpXqn74QWyft6KiZixe3HUNbW0ey2ThqNra3Pjuu2BGjl4HDaOnsxkVeEhJMW8GiVoObiXR3OVVs2SN7uO5dq1c0+9EUe+gytBH1YisbL2p/Z8HDQKOOuogDBly4IX997+34OWXN4laGhlInRAu8nOVn2/+Ps+xcLt9KC9vNfQ51Ywbip7sE+4dDuMDln5/IHRe3d7uxfbt5YavIVKrVxdaslxWhnOl7jIz67FjR2R/E/v21Ru+f5StJ2IsbDaXpftXqtatk+daKeyA5YQJE/DNN9/0+f05c+bg3HPP1WRRFB49+leq9uwxNiuvu/fe29Xr7zVt2k7jF6Oj77/PgsOhbw8Rh8MLj8e4BvxqyYTeB/aSEnMGOFpbXaY44YxUWZktose73T4kJgYPhkaf2BYXtyBg1duiEZCp5MPok2c9qOXgaqAyodtO8LXXtuLFFzcavi4ylloSLvKCvaLC/J+nWJSW2gyf3tu5hRFFTlHkz1I1qudfZ0VFLaG+yADw3/9uN3wNkRJ1M1pvsgZhf//7HyN6fDQtnGKVny9XOX0stm8vFzId3mgyXauGHbB89tln8eWXX+LZZ5/tMg28rq4Of/vb3/DVV1/h2Wef1WWR1JPPF8Du3fplmLW2uoVdzDY1deDLLzN6/Z7VSmn1HLbTWTTlutHSe0K4yun0SdFrNVLr1xdbZiJyZ+3tXni94TfV3rq1TPdgfV8CAYVZlpBr6E51tfgy2ljk5TWGbvT119Po9de34fnnzdOHjCInQ0m4TKVcIhhZDq7au9f6GTd6am11w+uV+9xInQ5tpKysru0djDyfj4bX68eaNdYZKmkGBQXNWLUq/CCkiGGsVrgprVKz6a0WkO9OpizSsAOWl112GT7++GN89NFHGDduHA4//HAcccQRGDduHD7++GN8+OGHuPzyy/VcK3WSlVWv+8X+F1/s0XX7fZkxY3efdzHr6hxobJS7ZCRcWVn1umbJdmZkCbKRveiWLs017Lm0or4XVjzQbdsW/t040XfgZ89OF/PEElFvSslwUSF7Zs1A1OxKoGdmZXdvvbUDf/97ot5LIkHUknCRRA0HkYUasDTy+GKFthYiyV4ODgAej/EBVXVYyW9/OxpAMMtz2zY5+ykCwI4dFbDb43v/I8Kf/rQyrMfV14vpL1pfL//nO1xqP1MZzp31JNOk8IhmGz366KMoKirCtGnTMHnyZNxzzz145513UFhYiMcee0yvNVIv1P6Velq6NE/35+jO5fLhww+D08D7OtF8771kA1ekny++MC5gkpKi/98LECzpMTJgabZekIqihLKErXigW7Mm/AxoNWAp6nWIJLhqVTIN3WlpMe+UXUVRugQswzFt2k4888xanVZEIsmQYel2++OiZK0vIjIs6+qsc0EuguwTwoFgP0mjqQO0TjttZCh7X+aycKOnT1NQRYU9NBOhP6tWFQg57xY1sEprra0u4W3zjCJT26ghkf7Asccei6efflqPtVAE1My8hAT9LvhFlLfMnZsZOunr6/dauDALr79u7mxet9tn6CR2o3qHNDZ2GBp4SEsz10Fj79461NRYt1Qv3Bsp+flNQi4oO6urc8Dp9GLEiKFC1yGSTCcjInqDaWXPnpqo9rHvvbcLgYCC6dOv0WFVJILPF0BtrRz7+MrKVhx//GGilyFEQUHw+GLkhbnL5YPPF8CQIRHlgtD/mCHDUlGCQcvBg417j9UMy+OPH47BgxMQCChSD3gSfTM6nj311Grcffdp/VZ5dA4oG/ke+f0K2tvdOOSQYcY9qQ527KiIm5uB6qTwY445RPRSIsuwFKGqqgr33XcfjjzySIwYMQKnn346du/eHfq+oih4+eWXMXbsWIwYMQKTJk1CQUHXLJ/m5mZMmTIFo0ePxmGHHYaHHnoI7e1ynFBGSw0M6LmzcTi8hvYVCwQUvPNOEoD+78wVFjZH1CtPRsuW5Rma3dTc7IRiwJHJyOxKIPJBL6KtXm2tHqzdqQOXBrJypfH9c3rz9dcZopcglEwZlj5fwLQngWp2ZTQZJe+/n4ynnlptyP6Z9FdX1y7N37HZbuhpSdQNMZl6fpmNmmEpe2aekeXOXq8feXnB8+rjjx+BwYODX+/o8GHLllLD1hGuoqJmw68D6ICGhg589llan993u32h/u0iTjnS082/f4yX/pUqWSaFSx2wbGlpwYUXXoihQ4di9erVyM7OxjvvvIPDDz889JipU6figw8+wIwZM5CcnIyRI0fi6quvhst1IMtrypQpyMrKQmJiIlasWIGtW7fikUceEfEraaK11YWcnAZDnmvWrL53fFpbs6YQOTkDD2xRFGDWLDH9NbVi1LAdlaIcKCvRk9EnKm63X6ossYGsWmWuEvZIhduHUHT/StWCBVliFyCYbJ8dM/Y4CgSUUBlWtBcAH36YgiefXMWgpQXI0L9StXdv3cAPsiCv14/SUpuQ55Y58012ZsiwBACbzbgqomCCRrAM/aijhnbJnHvrrR2GrSNc6rkdifP88+v7vGm2dWuZ0NLs1FT9hgUbRd3Hx8vpmiyTwqUOWL711ls47rjj8OWXX+Lcc8/F+PHjcdVVV+Gkk04CEMyunD59Ol588UXcfPPNOOOMMzBnzhxUV1dj6dKlAICcnBysWbMGs2bNwoQJEzBx4kR8+OGH+O6771Bdbc4PTmpqtWEfFCMniU2bthNAeEGMvqaIm0FZmQ2Jicbf4Vq2TP+epGqGnZGBqMWLc4x7shi0tDixc2eF6GXoyu9XUFra/+CBtjY3tm6Vo2F1PGcgAXJNCQdg2I04LW3bVqZJz8JPPtmNxx9fyaClycnQv1IVr5lOZWWt8PvFfI527zbndYUM1AxL2XeBRrb1URMNEhJ6DnOTMcOS/SvFa2114+23ew9mi35/9u0z9000u90dN/0rVbJUDUTcw9JIy5Ytw9VXX40777wTW7ZswbHHHovHH38cDz/8MACgpKQEtbW1mDRpUuhnDj30UEyYMAFJSUm45557kJSUhMMOOwznnHNO6DGTJk3CoEGDkJycjFtvvbXH87rdbrjdB1L+7fbgHXOv1wuvV3yfrR07ghf7Q4YkYOhQffY6Pp8Cr1dBdnaDIb9zenotNm0qBQAcdFACBg3q/ffy+xV4PAr27q2Fx+MZcBprONTfz6j3dtasNCgKMGgQMGyY/vcM3O4AAgFgx45y3X9HNeAwZEgChgwZ+L0ZMWJQl/+PhPp7rV1bgAcfPD3inzfa6tX5CAQUJCQAw4eLv1cUy2vfG6czmAWwbFkuHnvsnD4ft3p1PrzegNDXIRBQ4HYraGvzoKysBePGie/PorWB9mtOpxdOpw8AMHx4gib70mipfzs5OfWYOPGnwtYRjblzMwEAQ4ce2OdF+tlSj7czZqTB6/Xjk0+uFfp+mJnRx/PuysuDN2z0PD8biMcTgN8PlJW1SHHOqqVw3t/c3ANBHqOOMeprnp9vzDmzCHp/turqgoFAkZ+dviiKApcrGEmtrrbB6x1jyPNmZgaDBeq1wogRg0Jr6ejwYcOGQlx88QmGrGUgbW3u0PTk/q7jqCetzse9XgU+n4LXXtuKp576XZd+uoqiYNmyYMBy6NAEDB5s3Puj7h+Lipql2z9Gsl/bsqUEfr8813F6Uv+Wyspsur1nkWw34oDlyy+/jMsuuwznn38+hg8fHumPR6S4uBiffvopnnnmGfzzn/9EamoqnnrqKRx00EF48MEHUVsb3JEfc8wxXX7umGOOCX2vtrYWRx99dJfvDxkyBEcccUToMd29+eabeOWVV3p8fdOmTTj44IO1+NVismJFMQDgwQfH4cYbj9LlOZqaPHjooWy4XD58//0yHHKIvrHtd98NHuQuueRwPP103wdfp9OP++/fD48ngJkzl+C447T7G0xMTNRsW33x+xXMmJENAPjrX0/AxRcfPsBPxG7BglrMn18Ll6sZq1at0vW59uwJpo6//PKJOP30UWH/3OzZv474ub75pho//FCP1tZ63X8vLcyaFfwbv/nmo/B//3es4NUcEM1r35t//asIe/e2ITc3G6tW9d1+YObM4N/I9df/BH/8o7jg1KOPZqOuzoPPP1+O3/3uUGHr0Ftf+7Xm5uCJwqBBwPz5ZwgNkP3lL7koK3Ohvj4fq1bJcTc3HF5vAN99F2wr8OKLJ+LMM7vu8yL5bK1a1YCZM6vwxRcZaGyswv/93zgGLWNgxPG8N1u3BjPsrrnmSGH7t+++q8V339Vi1CiXKY6N0ejv/V25Mnjj9NxzD8ULL4w3ZD0rVjRg1qwqHHSQ27KvuUqvz1ZOTvAc6bHHfoorrjhSl+eIxQMP7IPd7kd1dRZWrSo25Dk3biwBANx7bzBAqh5T/v3vImRktOHLLzegvd2Y4OlAdu2ywePxY+zYg/DJJ6fy+BWFWM/HOzr8ePTRbLS1efGPf8zt8jmqqHChtNSGoUMTMGfOrzF8+OBYlxu2efNq8P33dRgxokPa/WM4+7Wvvw4e3y+//Aj8+c/H670kodLS7HjttWIcdFBAt/esoyP8Kq8EJcL6oyuvvBJJSUnw+Xz43e9+h0suuQSXXnopLrzwQowYMSLixfbnoIMOwjnnnIOdO3eGvvbUU08hNTUVSUlJ2LlzJy688EJUV1dj7NixocfcddddSEhIwIIFC/DGG2/g66+/Rl5e13LYo48+Gq+88goee+yxHs/bW4blcccdh5qaGhx5pNiDqKIoOPbY6WhsdGLYMH3vYLlcASgK8I9/nI/XXrtMt+cpL2/FL3/5Cfx+JazfSc2su+66k7B06d0xP7/X60ViYiKuvPJKDB2q78TgtWuLcOONCwAYl9WkZqUedNAgtLc/r9vzuN0+HHro2wgElLB/txEjBmH27F/jD3/YH8qyCpf6ew0bNhhtbf+IdtmGCAQUHH/8+6iv78BBBxl7Z7Mvsbz2vfF6A/D5gFNOORKZmY/2+phAQMHPfvYBamsdwl8H9Y7vWWcdjZSUPwpbh14G2q/t21eP3/52FgDtsmyjpe7T77jjFMybd5vQtURi1apC3HLL9wC67s+j/WypmZYAcP/9p2PWrBt40RchI4/nvXnwwR8xf36W0Cwx9e9o1KihaGr6u5A16CWc9/dvf0vEhx+mdsl61pt6PjJkSAI6Ol4w5DmNpvdna8KE2UhPrxV+btAX9ZroX/+6CP/v/11kyHOeccZnyM1twiGHDMK3354ROqaon/GDDx4Cm+05Q9YykEcfXYkvv9xr6OfOKrQ8H1cz44YNG4yGhmcwfHjws/r220n4f/9vEwYPBg46yNhzPpmPSZHs1yZO/AopKdVx8TeuVqIBQGXlX3D00SM1f46mpiaMHTsWra2tGD16dL+PjThtLjExET6fD8nJydi6dSu2bNmCDz74AG63G7/73e+wffv2qBfe3dixY/GrX/2qy9dOPfVU/PDDDwCAMWOCd5Xq6uq6BCzr6upw1llnhR5TX98128fn86G5uTn0890NGzYMw4YN6/H1oUOHCjkB7qy4uAWNjcFBCcE/JP2bvaxeXYT//vcq3bb/ySdpoX5DkfxOW7dWaPp+GPH+fv31PgDBUqVgeYlxzXo8ngCam9045hh9yl/z81tCjZ4j/d2czkDUB2m324/GRhfGjg0/o9NoaWnVqK8P3knyeIx93wcSy2vfm7Ky1j4/R2lp1aitDTbWl+V1yMpqFL5f11Nf+7W2tgOlGFq+/7GorGwz1XuxcGGwf25f+/NYPlvffLMPipKAOXNuYdAyCqLO12pqgvs3ny940ShSe7vXVJ+nSPT3/hYX2wAEL9zVGwBG8fkU2GweHHWU9hd3stDrs6UO7ZPl3KAvjY1OQz5XbrcPBQXBaffqvqT7MaWjw4ft2ytx2WXGZBL3JRBQsHp1sDe/iM+dVWh5Pu52+/H885vx8cfXAUDo/fH7xZ3ztbd7MWTIECnPaQbar7W1uUN97+Ptb3zjxjLcf/+Zmm83kv1oVCH2IUOG4MILL8Ttt9+OW2+9FVdffTUCgQByc3Oj2VyfLrzwwh6Zkfn5+TjhhGDJ8Pjx4zFmzBhs2LAh9H273Y7k5GScf/75AIDzzz8fNpsNaWkHpl1v3LgRgUAAEyZM0HS9Rti1q9Lw58zNbdJt262tLnz+eXQTv9vbPdi/3zwNfBsaHPjxx+BnRFRTcT0H74hs8C/74J1Vq+JncqLT6YPT2XtfEhknSHq9AUtMLoxUU5NcE8KBA0MXzKCjw4ulS/Xdn3/7bSamTFnMQTwmItOUcEUJnmPFm8LCZqHPz0nhkVMUxTT7f6OOnfn5TWENj5o6Vfy08PT0GtTWGjeMiMIzc2Ya2tvdaGrqkGLop6IcuDFhNjt2VAgb5iaaDJPCIw5Yzpw5E5MnT8axxx6LCy64AGvWrMHEiROxe/duNDRoO+Hz6aefxq5du/DGG2+gsLAQ8+bNw8yZM/HEE08ACE5M++tf/4r//Oc/WLZsGfbt24cHHngA48aNwy233AIgmJF5zTXX4OGHH0ZKSgp27NiBJ598Evfccw/GjRun6XqNkJwcDFgaeXPC4/GHJtVp7fPP96CtzRP1z7/99s6BHySJb77JhNcrNpNJ7YejBzVgKeLGWWKiMf2EorVqVaHoJRhqw4be/85kDFgCwGef7Ra9BMM1NwcvumS60a2uyQyWL8+Dw6F/8/j58/fj3nt/CGWv68nvDyAnpwFLluSgvt6h+/NZjaIoqKqSJ2AJyDPh0yh+fwDFxS1C17Bjh/jAgNk4HF64XD7RywiLzWbMTYCsrAPX1P1lpKmDbkRSp0+TXHy+AB57bCVWry405BwiHCkpVaKXEJUtW0oByHXObBQZziMiLgn/05/+hKOOOgp/+9vf8Pjjj+OQQ/Sbrvq73/0OS5YswQsvvIBXX30V48ePx/Tp0zFlypTQY5577jk4HA488sgjsNlsmDhxItasWdNlINDcuXPx5JNP4oorrsCgQYNw++2344MPPtBt3XratSv4QTc64eLzz9Pw/vvXarpNj8eP6dN3AQjuAKL5ndasKdJ0TXpRFAWzZgUzSaP9XbWwd69+GalqJq6I302GnWlfGhs7Qjca4sW6dYW44YZfdPlafb0Dqalynqhs2CB3wFsPTU3y3eU2IgColXnz9gMwZn++YEEW/P4AFiy4U7O+1U6nF/v21SMjoxbp6TXIyKhDZmYdOjqC78G4caOQk/MERo/u2R6HemezueB0yhV0SU+vwSWX/Ez0MgxTUWEXfmM4M9M8lT+yaGgwzw2S1lb3wA/SQFbWgWn3/XE6fdiwoQRXXCGuLFzWm9EUPFdRs5dFXn+q0tJqcP31vxj4gZLZvDl4Y0D06yeCyApKVcQBy8WLF2Pr1q347rvv8K9//Qu/+c1vcOmll+LSSy/FxIkTNZ+ifcMNN+CGG27o8/sJCQl49dVX8eqrr/b5mCOOOALz5s3TdF0iuN0+YYGZdeu0v6D//vssVFW1AYh+B1Bf70B9vUOXZrBaSkqqRE5O8AMvcmdXVtaq27bz8sTt0NS/IxmtW1cUdwe43kqsV68ukPZ1KCtrhd8fwODBYofPGEnNZpTpPfF4/FAURcr+Rp21tDixenXwAs2o12/Rohzceef3WLjwroiDlk1NHcjIqP1fcDL4v9zcxn4zLqqr23D55V8jJeVhXYf7WYlM5eCq7GzxFxpGEl0ODkB4hqcZbdpUKnoJYbPbjQlY7t8fzLAM5xjz9ts7hAUsa2vb47KtjlkEAgrWrg0m98hwvpedrW01rhHa2z3YvTt+/8btdg/27q3FmWf2PvvFCBEHLG+55ZZQuXVrayu2bduGhQsX4oYbbsCgQYPgcsVfvxyjpKfXwuPxC3lurU8CFUXBtGnBcu5Y7/i8914S3nxzkkYr08cXX4jPrgSCfddcLh+GD4/4o98vRVGE3oHx+QIoLbXhZz87TNga+qL2rxT93htJbRTfmXoHXsbXQVGApUtzcfvtvxr4wRYhYw9LIJildvjhI0Qvo1+LF+cIyeJavDgXt922AIsX391rEFFRFJSXt/4vKBnMmkxPr0FFRf+BtL4+k2lpNXjqqdX46KPrtPoVLE3GG2dFReIDeEZSz1VFHmfq6syTLSgLGSqQwuVwRN/GKhJqhmU4RJaFqzfviMJhxmPSzp0V8PnkGE4pyuuvb8P3398p7Pmjilo0NTVhy5Yt2Lx5MzZv3oysrCwcfvjhuOiii7ReH3UisqzU5wtg164KnHfecZpsb+PGklB5cqwnJ4sWZUsdsLTb3fjuuywAcpyIJSYW4cYbf6npNmtq2mPqRaqFH37Ixt/+doHQNXTn9wekurNplOZmZ5dMOa/XL/3r8PXXe+MqYClrv8iCgiace+5PRS+jX0aWg3f34495uOWW77Bw4Z3Iz28KZU2qGZQtLX3fNFYTV7uvub/f4eOPU3HJJSfgzjtP02D11qb2r5Qp6FJZKV8QVU8yZFi6XD74fAEMGRI/GfuxyMqqR1JS8PpGls9Nf4xoXeJy+VBUFH6mrsvlw4YNxbjiihN1XFXvVqyQ92Y0HSDL+1Ndbb5jkjpITZbXUAT1Gk6UiI+mp59+Oo455hg8+uijqKqqwsMPP4z09HQ0NjZiyZIleqyR/kftXymqWm727AzNtjVtWhIAbX6XoqIWuN1y9Y3qbMGC/aG+YDLQY6cjshxcpedAoWjt3l1t2ol4sVCUrj1PduyoMKyMKloyTFA0kqwBS9lLWGtq2rBpU3BfI+rEdfnyfIwc+QbOOGMGHnhgKd57bxc2bSrtEqzs7diqKNGtefLkxSgoaIphxfFBxpLweBuepAYsRV9UpqfXiF2AiajZlWZhxHCggVp29EbEtHCPx4916+S+GU1Bsrw/zc3mq8RVM5hleQ1FsNvdQsviIw5Y/ulPf0JGRgYaGhrwww8/4M9//jPOOOMMPdZG3agZlqI+MFoFhPbvr8eaNcGpyVr8LooSnDYuqy++SAcgz2QxPSa0iZwQrpKx0b1aDh6Pli3LC/33ypXBCZKyfAZ609TkhN1uvhOpaMlaEp6fL3dg7Pvvs6Q4afX7Dyyir+CkVny+ACZO/NKwUkizirUntx7a2+PrPeutHYkIakYO9c/l8mHOnEzRy4iI261/a679+8MvB1dt3Vquw0oGes6yuNvHUGxcLh8UmQ6SA3A4PKadbK61N9/cJuy5Iw5YPvHEE/j1r38Nj8eDvLw8+HzyZrZZSX29AyUlNqFrKCmxIRCIvYfDO+9ol12p+uqrDO02pqF9++qQnCxmsntf9CiZkmGCWE1Nu+gl9LB6daHoJQizffuBjEW1f6Usn4G+qDcX4oGsGZYlJXIPrOhcDi4LIz5X9fUOXHfdXFNdaBhNxh6WPl9AWO9zowUCijT90eJ5QEMkli7NlfZY1Bcjetmp/SsHRXCV7nL5kJhobNmmGW5Gk3zKy/UbAKs19q88QI8BzOGKOGDpdDrx0EMP4eCDD8Zpp52G8vLgHZ0///nP+O9//6v5AilIZP9KVSCgxDzJr6amDXPnBu+mannds3dvnZQXUjNm7Ba9hB5sNpfmr1VubjArSuRb4PcrUmVn1dXF9+RE9YS7pKQFOTniA9rhWLQoR/QSDKEoCpqa5GxVIGPQR1VU1By60y7h4UZ3W7eW45//3Ch6GdJSe1jKRqbjop6qquyGZL+FQ4abuGbQediOWQQCiu7XG1lZDf97rsh+7u23d+qwmr6p/Svj8XhI0VMTecxALQc30z5KL+3tHqSkiIlHRRywfP7557F3715s3rwZw4cPD3190qRJWLBggaaLowN27Qr+gYj+wHz99d6Yfv7DD1N0ma7q8wWwfHm+5tuNRUODA19+mSF6GT0oCpCWpm0gTYYelkBwAJMsRDcoFk1trK1mV5pBRkat6CUYwun0SXNh353MPffmz98vegnC/fe/2+O61UV/ZOxhCWh/vJeVDAN3VLL+LcikqKgZGzaI7QccLb370qsBy0ht22ZcWXh+fpNUnzkyjz17zNPjV23vYbZ9lF7eeGO7kOeNOGC5dOlSfPTRR5g4cWJoAiwAnHbaaSgqiu8LdD3JUlas3mmIRnu7B59+ql/G4SefpOq27Wh8+GEKnE45WyYsX67dBWdHhxdlZXKk98eaAawltRxc9E0GUdxuP9ra3KGApRleh44OL4qL5S5J1oKs2ZWAvKXqiqIwYPk/t922ABUVcuzzZeFy+aTtC7tvX+T98MxIDZ7IcKyx2eQeMieD2bPN24LFZtOv37XD4Yn6PMTIsvAVK+RKEiHzMEvVVUeHl/0ru1m/XkxZeMQBy4aGBhx99NE9vu5wOLoEMEk7fn9Amg9MRUVr1H0sZ89O1/Ugv3278Q2n+9Le7sFHH6WIXkafdu7U7rWSqdwsmkblevD5Ali7VrvBUma1ZEmu8InKkfr0U7lufOhB1qAgALS1ydnAf9++emRnR5f1YjVutx8XXDAbbrecN+REUDPKZRQvE95lyvYKBBTU1cnXV1sWPl9AygqkcDU26nfTL9ZgjlFl4Wa6GU1yKS01R2JAUlKFLlWhZuZweDWNIYQr4oDlOeecg5UrV4b+rQYpZ82ahfPPP1+7lVFIbm6jNBdxihJdiafPF8D06bsA6Hdwczi82LtXjpLOWbP2oKVF3onD2dna3d2SpRwcCJaTytDLNDm5Uur33yiffJIqbelxX+Kh3FXWTDAA0gbB5s3bJ3oJUqmstOPWW9kGSCVzCbAsFRB6KywMXgRLcAoAgJPC+7NqVYGUgxLDpWevZbX/d7S2bYu+Ei5cra0ubN0afB5ZPm9kHmb57Kv7cAblu3rzTePLwiMOWL7xxhv45z//icceeww+nw/vv/8+rrrqKnz55Zd4/fXX9Vhj3FP7V8rim28yI/6ZJUtyQlPO9Ty4TZtmbMPp3ng8frz7rvaT0LWkZZ84tbm8DL9rIKBg/37xWVDxXg6uUjPDzfQ6yJQxrBeZMywVJVgSJxNFUfDddywH72716kK8+eY20cuQgqwDdwCgttYcF4exkinDEghOl6Xeff65+YbtdKbnZ0rtXxnta+Ny+UMVPnpJTCzm5GSKmp7VllpS2+AxKN/Vxo2lhj9nxAHLiRMnIiMjAz6fD6effjrWrVuHo48+GklJSfjtb3+rxxrjntq/UpYDe6Sl14qihEoU9P4dZBh0Mn/+PlRUBC9eZN3J+XwBVFZqk3Uhw4TwzhYtyhK9hFCWniyviSjq72+m18HnU7BlS6noZehKDVjKckzpTrY+oklJlXGTpRap//f/Nlr+8xIONeNKxs+UWS4OY6EoinQBy8zMOtFLkFJVld3050h6DodTWxvF8tronbyh9q+UcX9H8vN6A9IHvDs6vKaaZm6kjg4vtm4tNfQ5Iw5YAsBJJ52Ezz//HCkpKcjOzsa3336L008/Xeu10f+oGZayHNhratrh9YZf5rl9ezlSU4NTKvX+HRoaOlBbK66XVCCgYOrU4InCoEFyH8l//DFPk+2oGZayiGUwlBZqatqQni5HawKKzqxZe0QvQVcyD90BYi+J05paDs6Ls54UBbj22rlCj7syUEvCZTlP68zt9kvRKkVPtbXtuk9ujlRxsU30EqT05ZcZCATM/ffY2KhfwDLaCeGd6TktPBBQTB9wJvFyc8VXw/Vn165KeDzmamllpP/+d4ehzxdVwJKM09bm1uTgpbUffsgJ+7HvvGNsefQ77+wy5ol6sXJlfmgwg+wnZFr0VwoEFOlKaEUPxlizRt9SHNKf1XuPqRmWsl5s5OfLkynl8wXw/ffBrG1ZXy/RnE4fLrroy4huZFqNnj3ttGCWnmHRki27EgDq6639mkcjEFDwxRfmnQ6uamzUp61KW5sb5eWxZ/O73X6sXq1PP+7U1Co0NMh905PkJ3v2olo5whvVvTP6OinsgOWgQYMwePDgfv83ZMgQPdcal3bvrpYy8BXuAIK8vEYsWxbM5DPqYm/x4vCDqVp7663gHQcz7OAyM2PPYqqstEuX1dDY2CE0m2TVKvavNLuqqjZLB19kHroDACUl8pSEb9hQzIuzMBQWtmDKlMWilyGMzD0sASAtrVr0EnQlY8DS5fJLX/ZotI0bS1BaahO9jJi1tOhzDNXyhruaLKI1TgcnLezdK3fLjM2b2b+yP06nDxs2lBj2fGFHGJcsWdLn95KSkvDBBx8gEOCBWWud+1fK9KEJdxDQe+/tMnzdJSUtcLm8GD58qKHPu2NHOXbsCDZZl+m96osWd3FlKwcHgq99amo1zj33WMOf2+v1Y926otA6yJwUBfjuu/24//4zRS9FFzIP3QEQ6gEsg/nzg8N2ZDsGy2jhwmx89FEKnnzyXNFLMZzMU8IBICOjDjfe+EvRy9CNGrCU7XOallaNCRN+KnoZ0ug8bEem9ylSra1uXbar9q/UQqTzBsKl9q808/tH4uXlyXf9qHI6vdINPJbR1Kk7cMUV4w15rrAzLG+++eYe/zvllFPw1VdfYdq0abjzzjuRl6dNTzw6QLb+laqGhg44nf1n1jU0OPD113sNWtEBigJ89lma4c9rpuxKAHC5fGhvj+2kSz3gyPY7L1kiJss2KakSdrs+J7JkrLlzw8siNyPZMyzr6vTrDxYJp9MbytiX7Rgsq7/8ZQ1SU+Uu9dJaIKBIX3It481FLRUWBrOyZfucWr29SCQaGztC52ayvU+R0us8L9YJ4Z3pURZeVWVnj3bShBZJM3pJTq5i/8owbN1q3MyIqHpYVldX4+GHH8bpp58On8+HjIwMfP311zjhhBO0Xl9cUxRF6h4PA5WFf/JJKlwun0Gr6WrOHGMDpVlZ9Vi+3Hx3HdesiW2quqwXQXo2HO+P2ohctgAuRU7mfW+sZM+wlGUo0KpVBWhr84hehqkEAgquuGKO9H9jWqqvd0hf+itTmwU9yFgSDgBpaTWilyCNOXP2wuuV+3MSLr2OC2rAUqvriGnTtC0LV89xiWIly43p3qg3mngt1z+Xy4e1a42Z2xBRwLK1tRX/+Mc/cPLJJyMrKwsbNmzA8uXL8etf/1qv9cW18vJW1NbKe9d+wYKsPr/ndHrx0UepBq6mq8zMOkNbFKiTwc0mMTHWgGVw4I5sQdqcHDGBVE5OtA6bzSVN4Exrsv9eepXbRapzOTiFr63Ng0su+RJ+vzWCEwORvRwcAGpq5B4KFAtFUVBQINfwP5WsN3WNpigKZs06UA5udg6HXgFL7UrCgWCrKi17urN/JWlF5mq0LVvYvzJc06YZE/8IO2A5depUnHjiiVixYgXmz5+PnTt34qKLLtJzbXFP9gyf3bv7buI+Z85eNDaKuyj2+RT8+KMxLQrKy1vDHkIkm/7ew3DIejLe0uI0/GK5stKOffu0PdkksWbONL61hN4URZE++01UZn5ndrubvbpisH9/Ax5+eLnoZRhC9oE7gH5TjWXQ0NAhbSa0GYLZRti5syJ0I9kK+1OnU/tjlM3mQlWVtjcWgmXh2mRAuVw+JCYWA7DGe0hi+f0KOjrk22+7XD4kJVWIXoZpbNum7U2RvoQdsHz++efhcrlw8skn4+uvv8Ztt93W6/9IO2r/ykFRFe7rr6XF1esdkkBAwbvv7gIg9i7cJ58Yk+H53ntJ0peD9aWoKPoysbY2N6qr5czaUJTgCbKRtO4VROItXpwregmaczi80pflBQIK3G6xQcslS3LgdrOHUSy+/DIDX32VIXoZulODDDJnHXV09N9z3MxkLQcH5MkWF23WrHQAcn9GIqHHTTWtsytVWmVAbdlSaun9CBkvM1O+JI/k5Eqe+0VAy5si/Qk7FPbAAw/grrvuwhFHHIFDDz20z/+RdtQMS5mHr/d2MbJiRT7y88WXCu/cqf+Er+ZmZ2jqoRm1troRCET3JuXlyVmCpVqyxNhg06pVwR22VU7ICdi3r86QO4dGkr0cXCW6IbtaDj5oED/QsfjjH5dpOvlWRmbIsAwEFLS1WTN4JnPAMhBQUFsr541do7S2urBgQXB/apXDqderfUBD7V+ptZ07KzQ5j1ErDniOS1pJSZGvklQtB+ffefiMKAsfEu4Dv/rqKx2XQd15PH6kpcVWrmuExYtz8NRTE7p8Tf3DTUgQe3LS0eHFnj01OPvssbo9x8cfp8DhMPcdx127KnDBBcdH/HOyloOrjMyw9Hj8WL+epTJW43b78fbbO/HccxeKXopmZC8HV2VlNeDnPz9SyHPX1ztCn+dob+hQkN+v4JJLvkRp6V8xatQw0cvRRWVlMCAl+75/3756XHDBcaKXoTk1YDlokJw3+DdtKsO998Zvr//58/frUkItkh7HBTXDUutrJ7fbj5Ur83HDDb+MehuKooT6V8q+nyPzyMysE72EHtSBO/w7D9+OHcGbIgk6RnklLTamzMw6U6Qkp6d3nYCYnFwZmtAsw4f9nXf0i/p3dHjxwQcpAMx9J0Y9CYlUXl4wYClrywJ1fUbYvr0c7e3y9WKh2L3wwgZD/5b01tRkjoClyNd84cIs+P0SHMAsornZhSuumGO5bGWVGTIsAWDPHvlvgkdDDVjKGKwEgKSkctFLEMpKw3ZUiqJ9luX+/dpOCO9MbdMVrZycRpSU2LRZDNH/yDYsze32ISlJ/+pMq/F4/Fi+XN+5IZKGGkjtXyk7u92DhgZH6N/vvJMEQJ4Tk3XrYpuC3Z8vv0wPDRYy83VYtJmI6oRwWS8SbDY3fD5jgv7qdHBZ/u5JO4GAgkmTvjFtn9ruzJJhWVwcfX/dWHE6uPZSU6vx17+uFb0MXWg9KEMvepWciiZzSTiAuB7Gl55eg7S0YGKDmc+Te6N1f1K9elgCBzKgorVyZb6GqyEKkm0oWUpKlRRDH83onXdiuykyEAYsJaX2rzTDBdMXXwSbaZeUtOCHH3IAyHNi0tjo1CX7wecLYNo0uYKz0VIDj5H/nPxZZxs3lhjyPGrDYVn+7klblZV2/OlPK0QvQxNqD0vZ91sVFWJ6WJaV2bBjR/AmDj/P2vrgg2T88EO26GVoTraLrr4UFoq7CaAn2QOWsQw3NDsrZleqWlq0u/nX1NSBujrHwA+MksfjD/WgjMaKFbwpT9qrr5erp7paDs6/88glJWnTK7cvDFhKSs2wNMMF07JlwTTg6dN3Sdnv6913kzTf5vffZ6G01AbAHO9RfzpnyIbL7w9Il8rfm2XL9L8rXFpqQ3a2NTNX6IAvvkjHhg3FopcRM7NkWNbU6Hfx1p/vvtsv5HnjxT33/ICiIm0CTIqiwOXyobnZiYqKVuTmNmLPnhqUljoNKz+3292maQdilsBqJJqbnWhpcYleRr+iOceygo4OL+bO3QfA/OfJvamu1i6z2ojs52ivhVpanNixQ55WX2QdHR1yHTvVgTv8O4+c1xvA4sU5um0/7KE7ZJympg7p7xh3tndvHZqbnaFMS9ksXpyLd965WrPtKYqCqVN3AAhOkJUxSBsJv19BcXEzTjzxiLB/pqys1RQ9VpOS9B+8s3p1dD1AyXxuuWUBqqufMfXwELWHpewnZGq7DaN1LgeX/TUyI58vgAsvnI05c26Fw+FBR4cXDocXDocHDof3f//2/O9r3f/t6fHYvo6/TucuPP/8xbr/PmbpXwkEh0lZjRnOlV0uP7xeP4YOHSx6KYZatChb87JpmdTUtGu2rf379W8bsHNnZVSDMdatK2JPZ9JFIBAMiB9++AjRS4Hb7TN0WKsVTZ++C7ff/itdts2ApYTUcnCz6Ojw4vXXt0o7Lbu01Aan04sRI4Zqsr21a4uwd29wspnZg5WqZcvy8de/nhf2481QDg4ABQX6X8yo5eAMcFhfe7sHN944H5s3/5/opUTNLBmWra3GZ01lZzeE9u38LOunrs6Bq6/+VtfneOmlzXj00d/pfiFkpqzFtjbrBY/MELAEgLS0Gpx33k9FL8NQn39+oBzcivvT2lotMyz1mRDeWXAwRj5uuimyaeGdy8Gt+D6SWKmp1bjqqpNELwO7d9fA6WT/ylgkJ1fpNi2cJeESSk4OloObqYfC9OnJAORd86ef7tZsW2+9FcyulPV3jcaWLaURPV4NWMr+GrS1eeB263cAcrl82LAh2CeTJ3LxYcuWMk33J0YzS8Cyo8P4G2Dz5+8z/DnjXUJC1//FavjwBBx77DD4fAoefHBp7BscgDpwR/ZjIRAs2bLK8DCVGrCU/fVXe6PFi9zcRmzfbu0yYi2rANSScL1fq0jLwv3+QKiKyKrvI4m1e3e16CUAALZuDe6vZD+WyMzrDeD777N02TYDlhLatSuYYWmmg4OaaSjrmr/5JlOT7SQnV4ZOPGX9XaORmRlZOUpeXjBgaYbXYO1a/SbFb91aJiSwQmI99dRqlJXZRC8jKmpJuOz8fgV+v3HBFUVRMG8e+1caTVG6/i9WCQkJeOCBcQCA5cvzkZ+vb69lM5WEA9Csf6gs1ICl7OciaWlyXJQbRR22Y2WNjdocSxVFMaQkHACSkioj6u+bnFxlmnMGMic1u1i0rVvZv1IL77+frMt2GbCUTCCgICXFXCXhKpnvSuzbV4dAIPaLXytmVwKRX3RFO1lchOXL9Ru8o955ttrfA/XP5wvgiivmmLIlhFkyLAGgpka7kruBpKZWo7g4fqf5Wsm5547GoP+d3d577yJdn0stCTfLRY4s2SxaMUtJuFna6GjB4/Hj66/3il6G7pqatMmwrK93GBYU9Hj8oUGp4Vi5Mnj+zHNc0ktRkfjzLq83gJ07K0UvwxJSU6s1ibd0x4ClZPLzm2CzyT3xsC8yn7D7/QoWL86NaRt5eY1YujS4DZl/12i43f6IesaZ6eQ7JUW/g9CqVcH+lVb7e6CBFRW14Jln1opeRsS0usgyQna2cfsZtRycF2bml5CQgKFDg2/knj212LSpRLfnUkvCzSLSagrZmSVgWVlprr+TWCxblidsaJqRbDZtesIaMSG8s3ff3RX2Y9X+lTzHJb3IcAwtKnKyf6VGfL5AaHilljh0RzJq/0rS3qefpuKOO6KfXvX22zstfdBetaoA9957+oCPa2lxmmraaHZ2I264YZ7m2/X7Fd3LDUlu77+fjLvu+hUuuOB40UsJi6IopsqwzM1tMKQZu98fwHffBfvuWHkfH08GDUoAEHwzH3hgKcrL/6pLI3gZLrYikZ9vnpuNA2ltdaGhwRyBMbvdegOP+mL1YTsqrd5TIwbudLZrV0VYgzEqKlqRmVmn/4IorslwE33fvnbRS7CUDz9MwZQpZ2i6TQYsJbNr14GBO1Y+0IuQlBR9MLi6uk2zPpiySkwsDitgmZdnriCdzxfAypUFopdBFnX99fNRVfUMDj54qOilDMhud8PvN8+BZc+eWkOeZ8uWMtTW8oTVqior7fjii3T88Y9n67JtMykvbxW9BM2YJbsSCLZ7qqlpw9ixo0QvRVelpTYkJgb7hlv9GqatzZwZlh5PAEuX5uLWW0/t93E8byYjuFw+3SZLh2v/fp7/aWn37mr4/QEMHqxdITdLwiWTnGy+gTtm4XT6kJoaXX/Q6dN3wePxa7wiuaSl1YT1ODOVgxPpzWZz4Y47vhe9jLCYKbsSAL7+ei+uvvpb3QcSsBzc+v72t3WaT8j2ePymqjYAgJoa61yYmSlgCcTHpPDZs9Pj5vqlvd2jyXbU45uRr9v06QOXhasBSx4XSU+KIva45PX6kZtrruO47Px+Bd9+q22SFwOWEuno8DL9XmfvvJMU8c/YbC7MmLFbh9XIpaQkvMbHasCSJzFEQatXF2p+cNaDGad9rltXhNNP/xR33bVQl6E4brcPixblAOCNQiuz29146aWNmm7TyKFQWmlpMWeP9N6oAUuznIvs2FEhegm68vsDmD07XfQyDNPR4Y15G4qiGJ5hCQw8Ldzp9GLDhmIAPC6S/kS2w0tLq4Hbrf2QmHj38cepmm6PAUuJpKVVm6pcz4zWry+O+GdmzNiNtjZt7qTKrK3NA59v4CxStSScJzFEBzz00DLU1sodwDBbhmVnCxdm4+c//xAPP7xM00DR2rVFph10R5F5550kzco4AfP1rwSCAfr+AhVmUlgYvIFhll9n/35rJySsWVNoys9EtFyu2Id01NS0Czn+eL0BLF6c0+f3N20q5RASMky4FX562Lq1HAAweLCwJVjSnj018Pu1CwQzYCkRtX8l6aepyYmKivB7OLlcvlDphFnu4sdi27byAR/DknCinjweP6644hupgwFmDlgCwT5ws2al44QTpuPvf1+nye8zbx7LweOF1xvAH/+4TLPtma1/JRAM7pmtjL0vZisJLy62iV6CrmbNCmZXxsu+VIs2UerAHRHefz+5z++tWJEPIH7eSxIrJ8f4LGOVGrAMDuojrfj9Cr76KkOz7TFgKRG1fyXpK5Ky8K+/zkBdXfDkXuI4hGZWreq/ybbX6zfdRQKRUbKzG/DSS5tEL6NP6jRGs1+EeL0BTJuWhJ/+9F289tqWqHuJtbd7sGxZHoD42L9TMFNXq8EzVVXBgKXZPk/p6cYMs9Kb2c5FrBIo7k1NTRuWL4+vfakW2UNq/0oR+5Bdu3ovC1cUJdS/Ml7eSxJL1M0ct9sXatUxiBExzX3yiXZl4Xx7JMIMS2MsXZob1uP8/uBFMWC+C5JoDfQ3WFzcovngAiIreeONbUhPF1fe0h+zZ1h253T68PLLm/HTn76LDz5IhtsdWQnbsmV5LHuLM4oC3HvvIk22ZdbyV1n3T5Fob/egttZcA4Tcbj88Hmvub77+em/ctbQKBIJZ/7FQ+1eKCAz2VRa+f3+9Zjd1iMIhqh/0qlUFcDi8OPLIoXFznW+kjIy6sFrNhYMBS0lUVtpNe/JrNmVlrXA4Bs7IWbw4J3QHP17uMubn95+xoPavJKLeKQpw9dXfRhw8M4I6dMdq+7PWVjf+8pc1OOGE6fjqq4ywM19YDh6fdu6sxK5dsQ9AUUvCzfZ5yskxf1uXoiLtB3AZQWSvNr0oioJZs/YAiL99aayTwkUM3Ols+vSeZeFqdiWRUUQNg5s7N3gOeNFFhyEh3nZeBggEFHzxhTaD2BiwlITICVnxaKDpVYqi4K23dgCIrxOwxsaOfnvwcUI40cAaGjpw//1LRC+jB6tlWHZXV+fA73//I04++UMsXpzT776sqakDa9cWATBfwIlid999sX8+zXqTuaTEnMG+zswasNy0qVT0EjS3eXNp6P2It32pzRb9MTU4IVxcD0sgeO3Z/Tip9q8kMorH49d0QEs4Wltdob/1iy8+3NDnjiczZuzWZDsMWEpC7V/JHgrGUO+q9GXjxpLQnfB4OgELBJR+syjVgGU8vSZE0Vi4MBtLlvQ9hVMENcPS6kpLbbj99u9xxhkzsH59ca+P+eGHHLa3iGNFRS2YP39/TNtQe1iaTXW1OQOtnakBMrPdPN2zx3oZlvE2bKcztcd9NCoq7Ghriy1DM1ZebwA//HDgPKWpqQNJSUygIeMZfRNq8eIcuN1+JCQA48ePMPS540lmZr0mZeEMj0lC7R0Y4PWTIbKy6hHo58WOx+xKlTqEojcsCScK3+TJi0ODbmRg9QzL7vbvr8eVV36DCy74okcVA8vB6YknVkbdg05RFNNmWDY0yLNPipZZM/rUm75W0dzsxA8/ZAMw33uhherq6Puois6uVE2fviv032vWFMbcl5MoGlq0aYmEmrg0dGgCy8F1FAgo+OyztJi3w4ClBHy+AHbvrha9jLji9ytYuDC71++lpVUjMTGYlROPJ2DbtpX1+nVFUZCTI7bfDpGZuFw+XH31t/2WJhtJpuCpkZKSKnHeeV/gmmu+xf799aiqsmPr1uB+TpK3hgRoaXHhjTe2RfWzjY0d8Hi0aSZvNIfDK3oJMSsqMteEcJVZg9x9+fbbTLjd5vwcaKG2Nvr3U+1fKTpWkpJSFTpHUftXil4TxZ+MjDrDnqumpg0bN5YA4N+6EWbOZMDSEvbtq+OkUgH66qswdepOAPG7E9u/v/e7vo2NHcIaIxOZVVpaDaZO3SF6GQDiL8Oyu7Vri3D66Z/iqqu+ZaCSAAD/+c9WOJ2RB/DMHHgKBBTT7wsKC83Zw9Jud4tegmYURcHnn8fnsB1VLNnKogfuqLzeABYuzIbPF8Dq1YUAeCOPjGdk9vl33+0P/Y0PGhSnOy8D7d/fEPMN3iEarYVioPavJGPt2tXzdS8qasaiRfFb3gL03d/KaqVMREb55z834uabf4lTTjlK2BoCAYU3HP4nO/tAZku87ucpyO3244knVmH27Jsj+jl1QrhZPf/8esyceaPoZUTF7Q6YNmAcCCiorm7DuHGjIvo5l8sHm80Fm82FlhZn6L8PfC34/4cdNhx/+tM5OPFE/YdIpKRUhW5wx+t+tLEx+oClTK/d++8nY+zYQ2Cz8RyBxCgrazXsudRy8Hi90WK0QEDBjBm78dRTE6LeBgOWElD7V/LiyVgulw9JSRU455wxoa9Nm7Yz7vu3eDwBNDV14MgjD+7ydfavJIpOIKBg0qRvUFr6VwwZIqawobXVFff7tu54vCUA+PrrvXjjjSswZswhYf+MOnDHrOdts2en4+23r8Shhw4XvZSI1daaO0tx9ux0TJhwbCjI2DUQ6e7la66Iyq7feScJd999Gl5++RKccspPdPs9OmdXmvEzoIVo26wEAkroxpkMUlOrQhOT4/n9JHFqa6PvBxuJvLzGuByqK9rnn///9u48vKkq/+P4Jy3QQqEoyKLI4jIK/NjEBaozKsim4IjihoyAKG5FEdRRHJVFGUZnEEVRGWVxoawqm4Bg2WQTRFkKtYJSSoEuFLpvaXN/f3QSiS2QtElukr5fz8MDubm5OTnhZvnknO/ZSWAZ6HbvLqvbwInje1OmbNOcOf0lSampuZo1a5ep7fEXy5f/oiFDOjlts4+w5MMM4L6jR3M0fPhSzZrV35T7D/QpoIC32GyGBg36QrGxQ1y+TaCO8LMrLTU0fPgyLVhwj9lNcdvx44EdWL7yyjqPHOf00UGnfyaz2QzNnRunuXPj1L//lRo/vps6dGjikfu0y8kp0rx5ceXuu7o5ebJyIxIPH85Ufr7/1JK1Wm364IOyMlnV+fmEeXxVLsO+4CJ8a9++dBUVlSgsrHLRIzUs/UBSku+GQcNZbOxvjn+/994P1bp4+OliYw+V22YPLPkwA1TO7Nm7tXr1QVPuOyODwBI4k7VrE7VrV4rL+9unhAfy++GiRft9NqrFk1JSiiUFx3Q+i+X3P+4yjN//nMnixQnq2PFD9enzubZv91z5qfnz9wXF4k1VlZ1ducDSX+pXni4np9jsJqAaKymxqajIu+t5GIbhmA4O3zIM6b33tlf69gSWJsvLK2bki4lOnizUkSPZys8v1fTpVV/FKlj8+OPxctuYEg5U3V13LTBl4QXeZ4Cze+CBL1zeN9BHWEplXyCGDPnK7Ga4zT7CMpDDYjtXQkdP+OabX9Wly8e6+ebZ+u67w1U+XnVfbMcuO7tyIZ+9fmV17z/gdPv2Vbzoq6ds335Uv/4amAu2BYOZM3+q9G0JLE125EhgF24PBlOmbNPq1RnKzAzsaUaelJiY6XS5qKhEv/3GizxQVXl5VvXrF+Pz+7XX2uILElCx+PgTWro0waV97TUsA93q1b/p4MGTZjfDLYE+JdxMGzYc1o03zlaXLh9pzZpfZVQiKd2zJ80xWjMYQuOqyM2tXGBpH2Hpb/3H5wOYyduLENung/P/3Bzx8SdUWFi5kfkEliY7coTp4GZbvDhBS5f+vmosykKV4uLfh+YfPHiSBTsAD/nuuyRNm1b5qRGVwQhL4NyGD1/mUogTDCMs7R588Euzm+AWAsuq2779mHr1+lydOn2oZcsS3AouqfX+u7y8ygaW3h1JVln+FqCierGv6eENJSU2zZu3TxL/z81iGNLUqZX77kNgaTL7CEuCMvMkJ+fo5MmyxJ8Xsd+tX//7tCF7/UoAnjFy5ColJvpu1DI1LIFzS0vL09tvbzvrPnl5xcrMrFztOn+0bdvRCsvA+KOiohKdOEHtRE/ZsydNf/3rPLVpM02LFu0/5w/TRUU2asCdpqDA/Zp7paU2xcfzmRr4o19+8V7psdjY35SWlue148M1lZ0WTmBpMvuCOwSW5qtViyfhdCtW/OL4t71+Jf9PAc8oLTXUp88cn92ffYQlP8oAZ/fyy2tVXHzmBfiCaXSl3eDBgVHL8tChTF7DvCAhIUP33LNQl18+VZ99tlslJbYK99u2LZPySaepzCIhv/12SoWF3l1cBAhE3iyTFxMTJ4nvsWb75ZcM5ee7/6MjgaXJ7FPCbRV/NoCP1KkTohDOBien1xJhhXDA8xISMhQX570pMKdjSjjgmvz8Eo0e/c0Zrw+W+pWn27cvXWvX/mZ2M87JvmACXzq949ChTA0evFgtW76tjz/+sVxwv2ZNWb3TkBCeAElnDHbPxh9XCAf8gbdGQObnW/Xll/GS+B5rNsPQOWexVISIxmQsumM+i0UaPPgiWfgE7OTAgd8L8TMlHPCOsWPX++R+mBIOuO7DD384Y8ifnBycn9sefniZ2U04J3tgGRrK5zVvOnYsR8OHL9PFF7+ld9/9XgUFVh04cFJxcbmSRE3z/yktdb8f7PUr+coBOKvsIlbnsmxZgteODfd98skut29DYGky+5RwmCc8PER9+lxgdjP8zsmTBTIMQ4ZhOKaEA/CsVat+9cn9MMIScF1pqXHGadL2KeHBFjgkJmZq0aL9ZjfjrBhh6Vvp6fl6+ulVuuiit/TYY19LkkJDTW6Un3F3ere/rhAOmM1mM5ST4/mSE0wH9y+//HLS7QXLCCxNZBgGIyzhtwxDiotLU0pKrrKzqVkEeEN+vlVr1ng/tMzIyPf6fQDB5OuvDyghofzsAvuU8GAMHKKjV7i1YrSv2QNL+FZmZqE2bToiidGtf5SV5d4CXHFx/rlCOOAPdu485tHjnTxZoJUrD0gKzvfsQDV58ha39iewNNGpU4WVKjwK+MqSJQlMBwe8bOLE77x+H4ywBNw3cOAX5bYlJwffojt2aWl5mj59p9nNOKODB8tK1TBSxvcsFql9+7rUe/+D9HTXfwwsKbExYwk4ix07PBtYLly4T1YrC4X4m08/3ePW/rztmMi+4A7grzZtSnIElnxBALxj8+YjKi313geq0lKbMjPdGwUCQPrppxR9+63zCOhgXHTndC+++K1f1ii0Wkt1+HDZ52ZCM98LDw/Ra69dTr33P0hJyXV534MHT5ZbyAjA7zw9AnnOnL2S+A7rb3799ZRyclz/XsJbvomoXwl/t39/Or8GA15WUmLTJ5/s9trxMzMLmQoDVNJDDy1xmiZtr2EZrLKyijRpkvdHfbvr8OEslZYaqlWLb57wH8ePu/56YF9wB0DF7KPoPSEpKUvffZckieng/uiDD1yfzUFgaSJ7/UpSf/irlJRcxwhLXuwB73nnne+9dmxWCAcqLzk5Rx999KOksh8X3BlRFagmTvxOVqt/jQQ7cKDsx9MLLwxjlB/8Rmpqnsv72keP8d8XqJgnS67MnbvXY8eC5y1cGO/yvgSWJmJKOPyd1WrT7t2pZjcDCHp796aqoMA7NY2pXwlUzXPPrXaElf44XdrTCgpK9MIL35rdDIfi4lL9+99lRfovvjjc5NYAvztxwvUalqwQDpydO+fTuTAd3L8dOpTp8r4EliZKSgrelSYRPKrDaBLAbIYh/ec/7q2a5yoCS6BqcnKK9dJLsUFfv/J07723XXl5xWY3Q4ZhaPjwZVq3LlGSdM89TcxtEHCaygSWACpWUGB1KsFSWXv3pmrv3rIRzeQsgY/A0kSMsAQA2M2cucsrx83IKPtCxa/MQOVNmbJN8fEnzG6Gz1itNkVHrzC7GXrttY369NOyGr9hYSFq1aq2yS0CfufqD4LFxaX65RdqwgNnYxhSerrrZRbOJCaG6eDBhMDSRPYalgAAJCZmKiXF8wt6MMISqLqSEpuef36NpOoT/n/22R7HDx5m+PzzPRo7dr2ksj5ndXD4m8xM11a6/eWXDJWU2LzcGiDwbd9+rEq3t9kMxcTEeag18Ae89ZuktNRWraYWIbBVly9ngNkmTNjo8WOy6A7gGZ6srxUIbDZDw4YtNeW+N2xI1LBhSySVfQZhWh/8UXZ2kUv7sUI44JqdO6sWWG7ZckRJScxiDSYEliZJTc2T1covbQgMfFEAfGPhwv0eP6Z9hCXnMeAZ1elcWrYswecljBISTujOO+c7PidXp/5GYMnNda3Oq71+JQMAgLOraq3XOXP2SOJc83ehoa7vS2BpEupXAgD+6MSJfI+PxGCEJYDKMgzpwQe/8tn9pafn6bbbYnTqlGtTbQEzuRtYEr4DZ/fbb6cqfdvi4lItWFD2wz/nmn+rUcP1RJnA0iTUrwQAVMRes81TqGEJoCo2bDis/fu9P6W1oMCqv/51XpW+sAK+VFBgdWm/uDimhAOuOHas8rXcV6/+lc+8AcLixhBYAkuT2GsrMFwZAHC6VasOevR4fHgDUFUPPrjYq8e32QwNHrxY27Yle/V+AE8qLCxxaZ+DB0/6oDVA4KvKZ9Y5c8pWBydfCS4EliZhSjgAoCJ5eVZ9++2vHjuemav8AggOP/54XFu3HvHa8ceM+VaLFnm+hi/gTcXF516PICHhhGw25qcCrigqKq3U+ZKTU6QlS36WxHTwYENgaRL7lHBOKADAH02c+J3HjsUISwCeMHToEq8c97//3ak339wiiZExCCylpecOLKu6iAhQ3SQmul8WZPHin1VQcO4Rzwg8BJYmoYYlAOBMNm064tIXoXMpKbEpK6vIAy0CUN398kuGVq484NFjrlp1UE8++bUkKSTEwg/5CCiGce7Q0l6/MoRv3YBLvv/+qNu3iYmJk8R5Fox4Sk1ir2EJAMAflZTY9Omnu6t8nFOnGF0JwHMefXS5x461Z0+q7r13oUpLDVksYtosAlJ29tl/FLSPsLRV/TdIoFr46acUt/ZPS8vTmjVlpZQ4z4IPgaUJiotLlZqaa3YzAAB+7J13vq/yMTIyCCwBeE5ycrY+/3xPlY9z7FiO+vaNUU5OsSRKJCFwnTpVeNbr9+1jhXDAHT//7F4Zhfnz41RayptIsCKwNMHRo9l8MAMAnNWePakqKLBW6Rjn+iI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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -456,10 +456,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:43.185544Z",
-     "iopub.status.busy": "2024-09-13T08:24:43.185157Z",
-     "iopub.status.idle": "2024-09-13T08:24:43.516668Z",
-     "shell.execute_reply": "2024-09-13T08:24:43.516172Z"
+     "iopub.execute_input": "2025-02-02T04:23:50.000679Z",
+     "iopub.status.busy": "2025-02-02T04:23:50.000321Z",
+     "iopub.status.idle": "2025-02-02T04:23:50.271973Z",
+     "shell.execute_reply": "2025-02-02T04:23:50.271454Z"
     },
     "tags": [
      "remove-input"
@@ -468,7 +468,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -503,10 +503,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:43.518980Z",
-     "iopub.status.busy": "2024-09-13T08:24:43.518602Z",
-     "iopub.status.idle": "2024-09-13T08:24:43.650709Z",
-     "shell.execute_reply": "2024-09-13T08:24:43.650107Z"
+     "iopub.execute_input": "2025-02-02T04:23:50.273840Z",
+     "iopub.status.busy": "2025-02-02T04:23:50.273645Z",
+     "iopub.status.idle": "2025-02-02T04:23:50.408496Z",
+     "shell.execute_reply": "2025-02-02T04:23:50.407894Z"
     },
     "tags": [
      "remove-input"
@@ -515,7 +515,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -548,10 +548,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:43.653249Z",
-     "iopub.status.busy": "2024-09-13T08:24:43.652860Z",
-     "iopub.status.idle": "2024-09-13T08:24:43.870172Z",
-     "shell.execute_reply": "2024-09-13T08:24:43.869616Z"
+     "iopub.execute_input": "2025-02-02T04:23:50.410550Z",
+     "iopub.status.busy": "2025-02-02T04:23:50.410232Z",
+     "iopub.status.idle": "2025-02-02T04:23:50.628808Z",
+     "shell.execute_reply": "2025-02-02T04:23:50.628198Z"
     },
     "tags": [
      "remove-input"
@@ -560,7 +560,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -605,10 +605,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:43.872502Z",
-     "iopub.status.busy": "2024-09-13T08:24:43.872122Z",
-     "iopub.status.idle": "2024-09-13T08:24:44.087566Z",
-     "shell.execute_reply": "2024-09-13T08:24:44.086926Z"
+     "iopub.execute_input": "2025-02-02T04:23:50.630575Z",
+     "iopub.status.busy": "2025-02-02T04:23:50.630402Z",
+     "iopub.status.idle": "2025-02-02T04:23:50.847730Z",
+     "shell.execute_reply": "2025-02-02T04:23:50.847120Z"
     },
     "tags": [
      "remove-input"
@@ -617,7 +617,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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jj2jjxo3mY4vNDZN1rrrqKn355ZfKycn50bERERE6ceKE+chqnUOHDqmkpMRSZ1uLiIjQnj176vU3dE/PREvun3QyGA4fPlxbtmzR5s2bFRAQoH79+pnb6168VPfypbMVWE9XS69fkq6++mp17NhRr7zyit577z0dPXr0J387cJ0rr7xSTqdT8+bNU0VFhSSpR48eOnLkiBISEpSUlFSvDRgwwBwnqcmAXvd71dDv3p49e5r1e1f39+zUNxk3dExJCg0N1eTJk7VmzRp9/fXXCg4O1iOPPPKj5wHw80BgBQCctg4dOigzM1Pp6elKSUlpdNyYMWN0/PhxPf3005b+xx9/XDabzZwpKS4urrfvwIEDJcn8rEzdNxyb+xbV+++/X/7+/rrzzjt16NChetu//PJLPfnkk2adkvTEE09Yxjz22GOS1OBbTNvKmDFjtH37dkuQqqio0DPPPKPIyEj17t27Vc7TkvtX5+KLL9Z//vMfPffccxo2bJhlhi0+Pl579uzRW2+9peDgYPMRZm91Otffvn17XXfddXr33XeVmZkpf39/XXPNNWerZD3wwAM6cuSIVqxYIenkLOXx48f1l7/8pd7Y2tpa8+/SqFGj1LFjR82fP1+VlZWWcXUz0RdddJE6d+6s5cuXWz719N5772nXrl3N+jtS9/f9qaeesvSf+vfu+PHjKi0ttfR17txZYWFh9T4zBeDni0eCAQBn5LbbbvvRMSkpKXK5XPrjH/+ogoICDRgwQO+//77eeustTZ061ZzZmTt3rj788ENdeeWVioiI0OHDh7Vs2TJ169bNnInr0aOH7Ha7li9fro4dO8rf31/Dhg1TVFRUg+fu0aOHXnnlFf3mN7/RBRdcoFtvvVV9+/ZVdXW1tm7dqtdee0233367pJOPs95222165plnVFJSIqfTqe3bt+uFF17QtddeK5fL1To3rRXMnDlTr776qq644grde++9CgoK0gsvvKCvv/5ar7/++hk9hvlDLbl/der+rHJycpSenm7ZNnz4cNlsNm3btk0pKSmNzpi/99575mzxD8XHx5/V9Yunc/3SyceCX3zxRa1bt07jx483/6GlIX//+9/VoUOHev2XX365unTp0uKar7jiCvXt21ePPfaYUlNT5XQ6NWnSJM2fP1/5+fkaNWqUzj33XO3du1evvfaannzySd1www0KCAjQ448/rjvvvFNDhgzRzTffrE6dOun//u//9N133+mFF17Queeeq4ULF2rChAlyOp266aabdOjQIT355JOKjIzUtGnTfrS+gQMH6qabbtKyZctUWlqq+Ph4ZWdn1/subnl5ubp166YbbrhBAwYMUIcOHbRhwwbt2LFDS5YsafF9AfBfqi1fUQwA+O/yw8/aNOXUz9oYxslPrkybNs0ICwszzj33XKNnz57GokWLzM9lGIZhZGdnG9dcc40RFhZmnHfeeUZYWJhx0003GV988YXlWG+99ZbRu3dvw8fHp9mfuPniiy+Mu+66y4iMjDTOO+88o2PHjkZCQoKxdOlSo7Ky0hxXU1Nj/PnPfzaioqKMc88913A4HMasWbMsYxq7RsMw6n1SxDAM4+uvvzYkGYsWLTL7brvtNsPf37/e/k6n0+jTp0+9/obO9+WXXxo33HCDYbfbDT8/P2Po0KHG22+/bRlT91mX1157rcGamnPvDKP5988wDKOiosL8s3n//ffrHat///6GJGPhwoX1tjX1WZvm1NvYZ23O5vUbhmHU1tYaoaGhhiTj3XffbfCYTX3WRqd8Bqkhjf0OGoZhPP/88/Wu75lnnjEGDx5stG/f3ujYsaPRr18/4/777ze++eYby75r16414uPjjfbt2xsBAQHG0KFDjVdffdUyZvXq1cagQYMMX19fIygoyBg/frzx73//2zKmsd9xwzCM77//3rj33nuN4OBgw9/f30hJSTH2799v+axNVVWVMWPGDGPAgAFGx44dDX9/f2PAgAHGsmXLmrwvAH5ebIZxBm9wAAAAAADgJ8IaVgAAAACAVyKwAgAAAAC8EoEVAAAAAOCVCKwAAAAAAK9EYAUAAAAAeCUCKwAAAADAK/m0dQH4ZThx4oS++eYbdezYsdGPxAMAAAD4+TMMQ+Xl5QoLC1O7dk3PoRJYcVZ88803cjgcbV0GAAAAAC+xf/9+devWrckxBFacFR07dpR08pcyICCgjasBAAAA0FbKysrkcDjMjNAUAivOirrHgAMCAgisAAAAAJq1VJCXLgEAAAAAvBKBFQAAAADglQisAAAAAACvRGAFAAAAAHglAisAAAAAwCsRWAEAAAAAXonACgAAAADwSgRWAAAAAIBXIrACAAAAALwSgRUAAAAA4JUIrAAAAAAAr0RgBQAAAAB4JQIrAAAAAMArEVgBAAAAAF6JwAoAAAAA8EoEVgAAAACAVyKwAgAAAAC8EoEVAAAAAOCVCKwAAAAAAK9EYAUAAAAAeCUCKwAAAADAKxFYAQAAAABeicAKAAAAAPBKBFYAAAAAgFcisAIAAAAAvBKBFQAAAADglQisAAAAAACvRGAFAAAAAHglAisAAAAAwCsRWAEAAAAAXonACgAAAADwSgRWAAAAAIBX8mnrAvDLEth7odTO76yf1yicc9bPCQAAAODMMMMKAAAAAPBKBFYAAAAAgFcisAIAAAAAvBKBFQAAAADglQisAAAAAACvRGAFAAAAAHglAutPoKioSFOmTFF0dLR8fX3lcDiUkpKi7OxsjRs3TqNHj7aMz8rKks1mU3p6uqU/PT1d3bt3lyQVFBTIZrM12LZt29ZoLStWrNAll1yiTp06qVOnTkpKStL27dvrjdu1a5euvvpqBQYGyt/fX0OGDFFhYaG5/csvv9R1112nkJAQBQQE6MYbb9ShQ4fO4C4BAAAAQNMIrK2soKBAgwcP1saNG7Vo0SLt3LlTWVlZcrlcSk1Nlcvl0pYtW1RbW2vu43a75XA45PF4LMdyu91yuVyWvg0bNujgwYOWNnjw4Ebr8Xg8uummm+R2u5WTkyOHw6FRo0bpwIED5pgvv/xSF198seLi4uTxePTpp59qzpw58vM7+b3UiooKjRo1SjabTRs3btSWLVtUXV2tlJQUnThxohXuGgAAAADUZzMMw2jrIn5OxowZo08//VR79uyRv7+/ZVtJSYkOHz6sXr16KScnR8OHD5ckDRs2TLfddpvS0tJ09OhR+fn5qbKyUna7XcuXL9ftt9+ugoICRUVF6ZNPPtHAgQNPu77jx4+rU6dOevrpp3XrrbdKksaNG6dzzz1XL730UoP7vP/++7riiit09OhRBQQESJJKS0vVqVMnvf/++0pKSvrR85aVlSkwMFAKny218zvt+k+XUTjnrJ8TAAAAQH112aC0tNTMF41hhrUVFRcXKysrS6mpqfXCqiTZ7XbFxsYqLCxMbrdbklReXq68vDyNHTtWkZGRysnJkSRt3bpVVVVV9WZYz9R3332nmpoaBQUFSZJOnDihd955R7GxsUpOTlbnzp01bNgwrVmzxtynqqpKNptNvr6+Zp+fn5/atWunzZs3N3ieqqoqlZWVWRoAAAAAtASBtRXt27dPhmEoLi6uyXEul8t8/HfTpk2KjY1VSEiIRo4cafZ7PB5FRUUpIiLCsm98fLw6dOhgaS3xwAMPKCwszJwVPXz4sI4dO6YFCxZo9OjRev/993Xdddfp17/+tT744ANJ0vDhw+Xv768HHnhA3333nSoqKjR9+nQdP35cBw8ebPA88+fPV2BgoNkcDkeL6gQAAAAAAmsrau7T1YmJidqyZYtqamrk8XiUmJgoSXI6nZbA2tDs6urVq5Wfn29pklRYWGgJsfPmzau374IFC7Rq1Sq9+eab5vrUujWo11xzjaZNm6aBAwdq5syZuuqqq7R8+XJJUkhIiF577TX94x//UIcOHRQYGKiSkhJdeOGFateu4V+hWbNmqbS01Gz79+9v1r0BAAAAgDo+bV3Az0nPnj1ls9m0e/fuJse5XC5VVFRox44dcrvdmjFjhqSTgXXixIkqLi5Wbm6uJk2aVG9fh8OhmJiYev1hYWFmeJVkPvJbZ/HixVqwYIE2bNig/v37m/3nn3++fHx81Lt3b8v4Cy64wPK476hRo/Tll1/q22+/lY+Pj+x2u7p27aro6OgGr9HX19fyCDEAAAAAtBQzrK0oKChIycnJysjIUEVFRb3tJSUlkqQePXrI4XBo7dq1ys/Pl9PplCSFh4crPDxcS5YsUXV1dYvWr/r4+CgmJsZsPwysjz76qP7yl78oKytLF110kWW/8847T0OGDNGePXss/V988UW9x5GlkwHXbrdr48aNOnz4sK6++upm1wgAAAAALcEMayvLyMhQQkKChg4dqrlz56p///6qra3V+vXrlZmZqV27dkk6Ocu6bNkyxcTEqEuXLub+TqdTS5cuNV/OdKojR46oqKjI0me3281HfE+1cOFCPfTQQ3rllVcUGRlp7vvD9a8zZszQb37zG40cOVIul0tZWVn6xz/+YfnMznPPPacLLrhAISEhysnJ0R/+8AdNmzZNvXr1OqP7BQAAAACNYYa1lUVHRysvL08ul0tpaWnq27evLr/8cmVnZyszM9Mc53K5VF5ebq5freN0OlVeXt7o7GpSUpJCQ0Mt7Ydv9D1VZmamqqurdcMNN1j2Wbx4sTnmuuuu0/Lly/Xoo4+qX79++p//+R+9/vrruvjii80xe/bs0bXXXqsLLrhAc+fO1R//+EfLMQAAAACgtfEdVpwVfIcVAAAAgMR3WAEAAAAAPwMEVgAAAACAVyKwAgAAAAC8EoEVAAAAAOCV+KwNzqrSzx/40YXVAAAAACAxwwoAAAAA8FIEVgAAAACAVyKwAgAAAAC8EoEVAAAAAOCVCKwAAAAAAK/EW4JxVgX2Xii182uz8xuFc9rs3AAAAABahhlWAAAAAIBXIrACAAAAALwSgRUAAAAA4JUIrAAAAAAAr0RgBQAAAAB4JQIrAAAAAMArEVh/AkVFRZoyZYqio6Pl6+srh8OhlJQUZWdna9y4cRo9erRlfFZWlmw2m9LT0y396enp6t69uySpoKBANputwbZt27ZGa/nnP/+p66+/XpGRkbLZbHriiSfqjSkvL9fUqVMVERGh9u3bKz4+Xjt27LCMMQxDDz30kEJDQ9W+fXslJSVp7969p3eDAAAAAKAZCKytrKCgQIMHD9bGjRu1aNEi7dy5U1lZWXK5XEpNTZXL5dKWLVtUW1tr7uN2u+VwOOTxeCzHcrvdcrlclr4NGzbo4MGDljZ48OBG6/nuu+8UHR2tBQsWqGvXrg2OufPOO7V+/Xq99NJL2rlzp0aNGqWkpCQdOHDAHPPoo4/qqaee0vLly5Wbmyt/f38lJyersrLyNO4SAAAAAPw4m2EYRlsX8XMyZswYffrpp9qzZ4/8/f0t20pKSnT48GH16tVLOTk5Gj58uCRp2LBhuu2225SWlqajR4/Kz89PlZWVstvtWr58uW6//XYVFBQoKipKn3zyiQYOHHhatUVGRmrq1KmaOnWq2ff999+rY8eOeuutt3TllVea/YMHD9YVV1yhhx9+WIZhKCwsTGlpaZo+fbokqbS0VF26dNHzzz+vcePG/ei5y8rKFBgYKIXPltr5nVb9rcEonNNm5wYAAADw/7NBaWmpAgICmhzLDGsrKi4uVlZWllJTU+uFVUmy2+2KjY1VWFiY3G63pJOP4+bl5Wns2LGKjIxUTk6OJGnr1q2qqqqqN8Pa2mpra3X8+HH5+VlDZPv27bV582ZJ0tdff62ioiIlJSWZ2wMDAzVs2DCz3lNVVVWprKzM0gAAAACgJQisrWjfvn0yDENxcXFNjnO5XObjv5s2bVJsbKxCQkI0cuRIs9/j8SgqKkoRERGWfePj49WhQwdLOxMdO3bUiBEj9Je//EXffPONjh8/rpdfflk5OTk6ePCgpJNrciWpS5culn27dOlibjvV/PnzFRgYaDaHw3FGdQIAAAD45SGwtqLmPl2dmJioLVu2qKamRh6PR4mJiZIkp9NpCawNza6uXr1a+fn5liZJhYWFlhA7b968Ztf90ksvyTAMhYeHy9fXV0899ZRuuukmtWt3+r8es2bNUmlpqdn2799/2scCAAAA8Mvk09YF/Jz07NlTNptNu3fvbnKcy+VSRUWFduzYIbfbrRkzZkg6GVgnTpyo4uJi5ebmatKkSfX2dTgciomJqdcfFhZmhldJCgoKanbdPXr00AcffKCKigqVlZUpNDRUv/nNbxQdHS1J5suaDh06pNDQUHO/Q4cONbqe1tfXV76+vs2uAQAAAABOxQxrKwoKClJycrIyMjJUUVFRb3tJSYmkkwHR4XBo7dq1ys/Pl9PplCSFh4crPDxcS5YsUXV1dYvWr/r4+CgmJsZsLQmsdfz9/RUaGqqjR49q3bp1uuaaayRJUVFR6tq1q7Kzs82xZWVlys3N1YgRI1p8HgAAAABoDmZYW1lGRoYSEhI0dOhQzZ07V/3791dtba3Wr1+vzMxM7dq1S9LJWdZly5YpJibGsjbU6XRq6dKl5suZTnXkyJF660btdnu9lybVqa6u1ueff27+94EDB5Sfn68OHTqYM7Xr1q2TYRjq1auX9u3bpxkzZiguLk4TJkyQJNlsNk2dOlUPP/ywevbsqaioKM2ZM0dhYWG69tprz/ieAQAAAEBDmGFtZdHR0crLy5PL5VJaWpr69u2ryy+/XNnZ2crMzDTHuVwulZeXm+tX6zidTpWXlzc6u5qUlKTQ0FBLW7NmTaP1fPPNNxo0aJAGDRqkgwcPavHixRo0aJDuvPNOc0xpaalSU1MVFxenW2+9VRdffLHWrVunc8891xxz//33a8qUKbr77rs1ZMgQHTt2TFlZWY0GZQAAAAA4U3yHFWcF32EFAAAAIPEdVgAAAADAzwCBFQAAAADglQisAAAAAACvRGAFAAAAAHglAisAAAAAwCvxHVacVaWfP/CjbwIDAAAAAIkZVgAAAACAlyKwAgAAAAC8EoEVAAAAAOCVCKwAAAAAAK/ES5dwVgX2Xii182vrMiRJRuGcti4BAAAAQBOYYQUAAAAAeCUCKwAAAADAKxFYAQAAAABeicAKAAAAAPBKBFYAAAAAgFcisAIAAAAAvBKBFQAAAADglQisP4GioiJNmTJF0dHR8vX1lcPhUEpKirKzszVu3DiNHj3aMj4rK0s2m03p6emW/vT0dHXv3l2SVFBQIJvN1mDbtm1bo7XU1NRo7ty56tGjh/z8/DRgwABlZWVZxnz44YdKSUlRWFiYbDab1qxZU+84x44d0z333KNu3bqpffv26t27t5YvX356NwgAAAAAmsGnrQv4uSkoKFBCQoLsdrsWLVqkfv36qaamRuvWrVNqaqqmTZum6dOnq7a2Vj4+J2+/2+2Ww+GQx+OxHMvtdsvlcln6NmzYoD59+lj6goODG63nwQcf1Msvv6wVK1YoLi5O69at03XXXaetW7dq0KBBkqSKigoNGDBAEydO1K9//esGj3Pfffdp48aNevnllxUZGan3339fkydPVlhYmK6++uqW3iYAAAAA+FE2wzCMti7i52TMmDH69NNPtWfPHvn7+1u2lZSU6PDhw+rVq5dycnI0fPhwSdKwYcN02223KS0tTUePHpWfn58qKytlt9u1fPly3X777SooKFBUVJQ++eQTDRw4sNn1hIWF6Y9//KNSU1PNvuuvv17t27fXyy+/XG+8zWbTm2++qWuvvdbS37dvX/3mN7/RnDlzzL7Bgwfriiuu0MMPP1zvOFVVVaqqqjJ/Lisrk8PhkMJnS+38ml3/T8konPPjgwAAAAC0qrKyMgUGBqq0tFQBAQFNjuWR4FZUXFysrKwspaam1gurkmS32xUbG6uwsDC53W5JUnl5ufLy8jR27FhFRkYqJydHkrR161ZVVVXVm2FtqaqqKvn5WQNi+/bttXnz5hYdJz4+XmvXrtWBAwdkGIbcbre++OILjRo1qsHx8+fPV2BgoNkcDsdpXwMAAACAXyYCayvat2+fDMNQXFxck+NcLpf5+O+mTZsUGxurkJAQjRw50uz3eDyKiopSRESEZd/4+Hh16NDB0pqSnJysxx57THv37tWJEye0fv16vfHGGzp48GCLrm3p0qXq3bu3unXrpvPOO0+jR49WRkaGRo4c2eD4WbNmqbS01Gz79+9v0fkAAAAAgMDaipr7dHViYqK2bNmimpoaeTweJSYmSpKcTqclsDY0u7p69Wrl5+dbmiQVFhZaQuy8efMkSU8++aR69uypuLg4nXfeebrnnns0YcIEtWvXsj/6pUuXatu2bVq7dq0+/vhjLVmyRKmpqdqwYUOD4319fRUQEGBpAAAAANASvHSpFfXs2VM2m027d+9ucpzL5VJFRYV27Nght9utGTNmSDoZWCdOnKji4mLl5uZq0qRJ9fZ1OByKiYmp1x8WFmaGV0kKCgqSJIWEhGjNmjWqrKzUkSNHFBYWppkzZyo6OrrZ1/X9999r9uzZevPNN3XllVdKkvr376/8/HwtXrxYSUlJzT4WAAAAADQXM6ytKCgoSMnJycrIyFBFRUW97SUlJZKkHj16yOFwaO3atcrPz5fT6ZQkhYeHKzw8XEuWLFF1dXWL1q/6+PgoJibGbHWBtY6fn5/Cw8NVW1ur119/Xddcc02zj11TU6Oampp6s7LnnHOOTpw40ezjAAAAAEBLMMPayjIyMpSQkKChQ4dq7ty56t+/v2pra7V+/XplZmZq165dkk7Osi5btkwxMTHq0qWLub/T6dTSpUvNlzOd6siRIyoqKrL02e32ei9WqpObm6sDBw5o4MCBOnDggNLT03XixAndf//95phjx45p37595s9ff/218vPzFRQUpO7duysgIEBOp1MzZsxQ+/btFRERoQ8++EAvvviiHnvssTO6XwAAAADQGGZYW1l0dLTy8vLkcrmUlpamvn376vLLL1d2drYyMzPNcS6XS+Xl5eb61TpOp1Pl5eWNzq4mJSUpNDTU0tasWdNoPZWVlXrwwQfVu3dvXXfddQoPD9fmzZtlt9vNMR999JEGDRpkfpf1vvvu06BBg/TQQw+ZY1atWqUhQ4Zo/Pjx6t27txYsWKBHHnlEv/vd71p+kwAAAACgGfgOK86Kum8t8R1WAAAA4JeN77ACAAAAAP7rEVgBAAAAAF6JwAoAAAAA8EoEVgAAAACAV+KzNjirSj9/4EcXVgMAAACAxAwrAAAAAMBLEVgBAAAAAF6JwAoAAAAA8EoEVgAAAACAV+KlSzirAnsvlNr5tXUZJqNwTluXAAAAAKARzLACAAAAALwSgRUAAAAA4JUIrAAAAAAAr0RgBQAAAAB4JQIrAAAAAMArEVgBAAAAAF6JwAoAAAAA8EoE1p9AUVGRpkyZoujoaPn6+srhcCglJUXZ2dkaN26cRo8ebRmflZUlm82m9PR0S396erq6d+8uSSooKJDNZmuwbdu2rdFann/++Xrj/fys30E1DEMPPfSQQkND1b59eyUlJWnv3r3m9oKCAt1xxx2KiopS+/bt1aNHD/3pT39SdXX1Gd4pAAAAAGicT1sX8HNTUFCghIQE2e12LVq0SP369VNNTY3WrVun1NRUTZs2TdOnT1dtba18fE7efrfbLYfDIY/HYzmW2+2Wy+Wy9G3YsEF9+vSx9AUHBzdZU0BAgPbs2WP+bLPZLNsfffRRPfXUU3rhhRcUFRWlOXPmKDk5WZ9//rn8/Py0e/dunThxQn/9618VExOjzz77THfddZcqKiq0ePHilt4iAAAAAGgWAmsrmzx5smw2m7Zv3y5/f3+zv0+fPpo4caIOHz6sY8eO6aOPPtLw4cMlSR6PRzNnzlRaWpoqKyvl5+enyspK5ebmasKECZbjBwcHq2vXri2qyWazNbqPYRh64okn9OCDD+qaa66RJL344ovq0qWL1qxZY84I/3BWODo6Wnv27FFmZiaBFQAAAMBPhkeCW1FxcbGysrKUmppqCat17Ha7YmNjFRYWJrfbLUkqLy9XXl6exo4dq8jISOXk5EiStm7dqqqqqnozrKfj2LFjioiIkMPh0DXXXKN//vOf5ravv/5aRUVFSkpKMvsCAwM1bNgws5aGlJaWKigoqNHtVVVVKisrszQAAAAAaAkCayvat2+fDMNQXFxck+NcLpf5+O+mTZsUGxurkJAQjRw50uz3eDyKiopSRESEZd/4+Hh16NDB0prSq1cvPfvss3rrrbf08ssv68SJE4qPj9e///1vSSfX20pSly5dLPt16dLF3NbQdS5dulSTJk1q9Lzz589XYGCg2RwOR5N1AgAAAMCpCKytyDCMZo1LTEzUli1bVFNTI4/Ho8TEREmS0+m0BNaGZldXr16t/Px8S5OkwsJCS4idN2+eJGnEiBG69dZbNXDgQDmdTr3xxhsKCQnRX//619O6xgMHDmj06NEaO3as7rrrrkbHzZo1S6WlpWbbv3//aZ0PAAAAwC8Xa1hbUc+ePWWz2bR79+4mx7lcLlVUVGjHjh1yu92aMWOGpJOBdeLEiSouLlZubm6DM5gOh0MxMTH1+sPCwszwKqnRx3XPPfdcDRo0SPv27ZMkc23roUOHFBoaao47dOiQBg4caNn3m2++kcvlUnx8vJ555pkmr9HX11e+vr5NjgEAAACApjDD2oqCgoKUnJysjIwMVVRU1NteUlIiSerRo4ccDofWrl2r/Px8OZ1OSVJ4eLjCw8O1ZMkSVVdXt2j9qo+Pj2JiYszWWGA9fvy4du7caYbTqKgode3aVdnZ2eaYsrIy5ebmasSIEWbfgQMHlJiYqMGDB+u5555Tu3b86gAAAAD4aTHD2soyMjKUkJCgoUOHau7cuerfv79qa2u1fv16ZWZmateuXZJOzrIuW7ZMMTExlvWjTqdTS5cuNV/OdKojR47UW1tqt9vrfVu1zty5czV8+HDFxMSopKREixYt0r/+9S/deeedkk6+QXjq1Kl6+OGH1bNnT/OzNmFhYbr22msl/f+wGhERocWLF+s///mPefyWvrEYAAAAAJqLwNrKoqOjlZeXp0ceeURpaWk6ePCgQkJCNHjwYGVmZprjXC6XXnzxRXP9ah2n06nnnntON998c4PH/+HbfOu8+uqrGjduXIPjjx49qrvuuktFRUXq1KmTBg8erK1bt6p3797mmPvvv18VFRW6++67VVJSoosvvlhZWVlmCF6/fr327dunffv2qVu3bpbjN3fdLgAAAAC0lM0gceAsKCsrU2BgoBQ+W2rX8GxwWzAK57R1CQAAAMAvSl02KC0tVUBAQJNjWYgIAAAAAPBKBFYAAAAAgFcisAIAAAAAvBKBFQAAAADglXhLMM6q0s8f+NGF1QAAAAAgMcMKAAAAAPBSBFYAAAAAgFcisAIAAAAAvBKBFQAAAADglQisAAAAAACvxFuCcVYF9l4otfNr6zIsjMI5bV0CAAAAgAYwwwoAAAAA8EoEVgAAAACAVyKwAgAAAAC8EoEVAAAAAOCVCKwAAAAAAK9EYAUAAAAAeCUC60+gqKhIU6ZMUXR0tHx9feVwOJSSkqLs7GyNGzdOo0ePtozPysqSzWZTenq6pT89PV3du3eXJBUUFMhmszXYtm3b1qy6Vq1aJZvNpmuvvdbSbxiGHnroIYWGhqp9+/ZKSkrS3r17LWOKi4s1fvx4BQQEyG6364477tCxY8dadmMAAAAAoAUIrK2soKBAgwcP1saNG7Vo0SLt3LlTWVlZcrlcSk1Nlcvl0pYtW1RbW2vu43a75XA45PF4LMdyu91yuVyWvg0bNujgwYOWNnjw4GbVNX36dF1yySX1tj366KN66qmntHz5cuXm5srf31/JycmqrKw0x4wfP17//Oc/tX79er399tv68MMPdffdd7fw7gAAAABA8/m0dQE/N5MnT5bNZtP27dvl7+9v9vfp00cTJ07U4cOHdezYMX300UcaPny4JMnj8WjmzJlKS0tTZWWl/Pz8VFlZqdzcXE2YMMFy/ODgYHXt2rVFNR0/flzjx4/Xn//8Z23atEklJSXmNsMw9MQTT+jBBx/UNddcI0l68cUX1aVLF61Zs0bjxo3Trl27lJWVpR07duiiiy6SJC1dulRjxozR4sWLFRYWdjq3CgAAAACaxAxrKyouLlZWVpZSU1MtYbWO3W5XbGyswsLC5Ha7JUnl5eXKy8vT2LFjFRkZqZycHEnS1q1bVVVVVW+G9XTMnTtXnTt31h133FFv29dff62ioiIlJSWZfYGBgRo2bJhZS05Ojux2uxlWJSkpKUnt2rVTbm5ug+esqqpSWVmZpQEAAABASxBYW9G+fftkGIbi4uKaHOdyuczHfzdt2qTY2FiFhIRo5MiRZr/H41FUVJQiIiIs+8bHx6tDhw6W1pTNmzdr5cqVWrFiRYPbi4qKJEldunSx9Hfp0sXcVlRUpM6dO1u2+/j4KCgoyBxzqvnz5yswMNBsDoejyToBAAAA4FQE1lZkGEazxiUmJmrLli2qqamRx+NRYmKiJMnpdFoCa0Ozq6tXr1Z+fr6lSVJhYaElxM6bN0/l5eW65ZZbtGLFCp1//vmtcYnNNmvWLJWWlppt//79Z/X8AAAAAP77sYa1FfXs2VM2m027d+9ucpzL5VJFRYV27Nght9utGTNmSDoZWCdOnKji4mLl5uZq0qRJ9fZ1OByKiYmp1x8WFmaGV0kKCgrSl19+qYKCAqWkpJj9J06ckHRyhnTPnj3methDhw4pNDTUHHfo0CENHDhQktS1a1cdPnzYcr7a2loVFxc3up7W19dXvr6+Td4HAAAAAGgKM6ytKCgoSMnJycrIyFBFRUW97XUvO+rRo4ccDofWrl2r/Px8OZ1OSVJ4eLjCw8O1ZMkSVVdXt2j9qo+Pj2JiYswWFBSkuLg47dy50zIbe/XVV8vlcik/P18Oh0NRUVHq2rWrsrOzzWOVlZUpNzdXI0aMkCSNGDFCJSUl+vjjj80xGzdu1IkTJzRs2LDTuVUAAAAA8KOYYW1lGRkZSkhI0NChQzV37lz1799ftbW1Wr9+vTIzM7Vr1y5JJ2dZly1bppiYGMv6UafTqaVLl5ovZzrVkSNH6q0btdvt8vPzqzfWz89Pffv2rTdWkqV/6tSpevjhh9WzZ09FRUVpzpw5CgsLM7/XesEFF2j06NG66667tHz5ctXU1Oiee+7RuHHjeEMwAAAAgJ8MM6ytLDo6Wnl5eXK5XEpLS1Pfvn11+eWXKzs7W5mZmeY4l8ul8vJyc/1qHafTqfLy8kZnV5OSkhQaGmppa9asOaOa77//fk2ZMkV33323hgwZomPHjikrK8sSgv/2t78pLi5Ol112mcaMGaOLL75YzzzzzBmdFwAAAACaYjOa+6Yg4AyUlZUpMDBQCp8ttas/G9yWjMI5bV0CAAAA8ItRlw1KS0sVEBDQ5FhmWAEAAAAAXonACgAAAADwSgRWAAAAAIBXIrACAAAAALwSn7XBWVX6+QM/urAaAAAAACRmWAEAAAAAXorACgAAAADwSgRWAAAAAIBXIrACAAAAALwSgRUAAAAA4JV4SzDOqsDeC6V2fm1dRoOMwjltXQIAAACAH2CGFQAAAADglQisAAAAAACvRGAFAAAAAHglAisAAAAAwCsRWAEAAAAAXonACgAAAADwSgTWn0BRUZGmTJmi6Oho+fr6yuFwKCUlRdnZ2Ro3bpxGjx5tGZ+VlSWbzab09HRLf3p6urp37y5JKigokM1ma7Bt27atWXWtWrVKNptN1157raW/seMuWrTIMu6dd97RsGHD1L59e3Xq1KnecQAAAACgNfEd1lZWUFCghIQE2e12LVq0SP369VNNTY3WrVun1NRUTZs2TdOnT1dtba18fE7efrfbLYfDIY/HYzmW2+2Wy+Wy9G3YsEF9+vSx9AUHBzerrunTp+uSSy6pt+3gwYOWn9977z3dcccduv76682+119/XXfddZfmzZunSy+9VLW1tfrss89+9LwAAAAAcLoIrK1s8uTJstls2r59u/z9/c3+Pn36aOLEiTp8+LCOHTumjz76SMOHD5ckeTwezZw5U2lpaaqsrJSfn58qKyuVm5urCRMmWI4fHBysrl27tqim48ePa/z48frzn/+sTZs2qaSkxLL91OO99dZbcrlcio6OliTV1tbqD3/4gxYtWqQ77rjDHNe7d+8W1QEAAAAALcEjwa2ouLhYWVlZSk1NtYTVOna7XbGxsQoLC5Pb7ZYklZeXKy8vT2PHjlVkZKRycnIkSVu3blVVVVW9GdbTMXfuXHXu3NkSNhtz6NAhvfPOO5axeXl5OnDggNq1a6dBgwYpNDRUV1xxRZMzrFVVVSorK7M0AAAAAGgJAmsr2rdvnwzDUFxcXJPjXC6X+fjvpk2bFBsbq5CQEI0cOdLs93g8ioqKUkREhGXf+Ph4dejQwdKasnnzZq1cuVIrVqxo1jW88MIL6tixo37961+bfV999ZWkk2tqH3zwQb399tvq1KmTEhMTVVxc3OBx5s+fr8DAQLM5HI5mnR8AAAAA6hBYW5FhGM0al5iYqC1btqimpkYej0eJiYmSJKfTaQmsDc2url69Wvn5+ZYmSYWFhZYQO2/ePJWXl+uWW27RihUrdP755zertmeffVbjx4+Xn5+f2XfixAlJ0h//+Eddf/31Gjx4sJ577jnZbDa99tprDR5n1qxZKi0tNdv+/fubdX4AAAAAqMMa1lbUs2dP2Ww27d69u8lxLpdLFRUV2rFjh9xut2bMmCHpZGCdOHGiiouLlZubq0mTJtXb1+FwKCYmpl5/WFiYGV4lKSgoSF9++aUKCgqUkpJi9teFTx8fH+3Zs0c9evQwt23atEl79uzR6tWrLccODQ2VZF2z6uvrq+joaBUWFjZ4jb6+vvL19W3yPgAAAABAUwisrSgoKEjJycnKyMjQvffeW28da0lJiex2u3r06CGHw6G1a9cqPz9fTqdTkhQeHq7w8HAtWbJE1dXVLVq/6uPjUy/I/upXv9LOnTstfQ8++KDKy8v15JNP1ntMd+XKlRo8eLAGDBhg6R88eLB8fX21Z88eXXzxxZKkmpoaFRQU1HtkGQAAAABaC4G1lWVkZCghIUFDhw7V3Llz1b9/f9XW1mr9+vXKzMzUrl27JJ2cZV22bJliYmLUpUsXc3+n06mlS5eaL2c61ZEjR1RUVGTps9vtlkd46/j5+alv3771xkqq119WVqbXXntNS5YsqXecgIAA/e53v9Of/vQnORwORUREmN9oHTt2bDPuCgAAAAC0HGtYW1l0dLTy8vLkcrmUlpamvn376vLLL1d2drYyMzPNcS6XS+Xl5eb61TpOp1Pl5eWNzq4mJSUpNDTU0tasWXPGda9atUqGYeimm25qcPuiRYs0btw43XLLLRoyZIj+9a9/aePGjerUqdMZnxsAAAAAGmIzmvumIOAMlJWVKTAwUAqfLbWrPxvsDYzCOW1dAgAAAPCzV5cNSktLFRAQ0ORYZlgBAAAAAF6JwAoAAAAA8EoEVgAAAACAVyKwAgAAAAC8Ep+1wVlV+vkDP7qwGgAAAAAkZlgBAAAAAF6KwAoAAAAA8EoEVgAAAACAVyKwAgAAAAC8EoEVAAAAAOCVeEswzqrA3guldn5tXcaPMgrntHUJAAAAwC8eM6wAAAAAAK9EYAUAAAAAeCUCKwAAAADAKxFYAQAAAABeicAKAAAAAPBKBFYAAAAAgFcisLaRoqIiTZkyRdHR0fL19ZXD4VBKSoqys7M1btw4jR492jI+KytLNptN6enplv709HR1795dklRQUCCbzdZg27ZtW6O11NTUaO7cuerRo4f8/Pw0YMAAZWVlNTp+wYIFstlsmjp16mlfPwAAAAD8GL7D2gYKCgqUkJAgu92uRYsWqV+/fqqpqdG6deuUmpqqadOmafr06aqtrZWPz8k/IrfbLYfDIY/HYzmW2+2Wy+Wy9G3YsEF9+vSx9AUHBzdaz4MPPqiXX35ZK1asUFxcnNatW6frrrtOW7du1aBBgyxjd+zYob/+9a/q37//GdwBAAAAAPhxzLC2gcmTJ8tms2n79u26/vrrFRsbqz59+ui+++7Ttm3b5HK5dOzYMX300UfmPh6PRzNnzlRubq4qKyslSZWVlcrNza0XWIODg9W1a1dLO/fccxut56WXXtLs2bM1ZswYRUdH6/e//73GjBmjJUuWWMYdO3ZM48eP14oVK9SpU6dWvCMAAAAAUB+B9SwrLi5WVlaWUlNT5e/vX2+73W5XbGyswsLC5Ha7JUnl5eXKy8vT2LFjFRkZqZycHEnS1q1bVVVVVS+wtlRVVZX8/Pwsfe3bt9fmzZstfampqbryyiuVlJTUrGOWlZVZGgAAAAC0BIH1LNu3b58Mw1BcXFyT41wul/n476ZNmxQbG6uQkBCNHDnS7Pd4PIqKilJERIRl3/j4eHXo0MHSmpKcnKzHHntMe/fu1YkTJ7R+/Xq98cYbOnjwoDlm1apVysvL0/z585t1nfPnz1dgYKDZHA5Hs/YDAAAAgDoE1rPMMIxmjUtMTNSWLVtUU1Mjj8ejxMRESZLT6bQE1oZmV1evXq38/HxLk6TCwkJLiJ03b54k6cknn1TPnj0VFxen8847T/fcc48mTJigdu1O/nrs379ff/jDH/S3v/2t3kxsY2bNmqXS0lKz7d+/v1n7AQAAAEAdXrp0lvXs2VM2m027d+9ucpzL5VJFRYV27Nght9utGTNmSDoZWCdOnKji4mLl5uZq0qRJ9fZ1OByKiYmp1x8WFmaGV0kKCgqSJIWEhGjNmjWqrKzUkSNHFBYWppkzZyo6OlqS9PHHH+vw4cO68MILzX2PHz+uDz/8UE8//bSqqqp0zjnnWM7l6+srX1/f5t0UAAAAAGgAgfUsCwoKUnJysjIyMnTvvffWW8daUlIiu92uHj16yOFwaO3atcrPz5fT6ZQkhYeHKzw8XEuWLFF1dXWL1q/6+Pg0GGTr+Pn5KTw8XDU1NXr99dd14403SpIuu+wy7dy50zJ2woQJiouL0wMPPFAvrAIAAABAayCwtoGMjAwlJCRo6NChmjt3rvr376/a2lqtX79emZmZ2rVrl6STs6zLli1TTEyMunTpYu7vdDq1dOlS8+VMpzpy5IiKioosfXa7vdHHeXNzc3XgwAENHDhQBw4cUHp6uk6cOKH7779fktSxY0f17dvXso+/v7+Cg4Pr9QMAAABAa2ENaxuIjo5WXl6eXC6X0tLS1LdvX11++eXKzs5WZmamOc7lcqm8vNxcv1rH6XSqvLy80dnVpKQkhYaGWtqaNWsaraeyslIPPvigevfureuuu07h4eHavHmz7HZ7K1wtAAAAAJwem9HctwABZ6CsrEyBgYFS+GypXfNe3NSWjMI5bV0CAAAA8LNUlw1KS0sVEBDQ5FhmWAEAAAAAXonACgAAAADwSgRWAAAAAIBXIrACAAAAALwSgRUAAAAA4JX4DivOqtLPH/jRN4EBAAAAgMQMKwAAAADASxFYAQAAAABeicAKAAAAAPBKBFYAAAAAgFfipUs4qwJ7L5Ta+bV1GS1mFM5p6xIAAACAXxxmWAEAAAAAXonACgAAAADwSgRWAAAAAIBXIrACAAAAALwSgRUAAAAA4JUIrAAAAAAAr0RgBQAAAAB4JQLrT6CoqEhTpkxRdHS0fH195XA4lJKSouzsbI0bN06jR4+2jM/KypLNZlN6erqlPz09Xd27d5ckFRQUyGazNdi2bdvWZD1PPPGEevXqpfbt28vhcGjatGmqrKy0jDlw4IB++9vfKjg4WO3bt1e/fv300UcfWWqJi4uTv7+/OnXqpKSkJOXm5p7BXQIAAACApvm0dQE/NwUFBUpISJDdbteiRYvUr18/1dTUaN26dUpNTdW0adM0ffp01dbWysfn5O13u91yOBzyeDyWY7ndbrlcLkvfhg0b1KdPH0tfcHBwo/W88sormjlzpp599lnFx8friy++0O233y6bzabHHntMknT06FElJCTI5XLpvffeU0hIiPbu3atOnTqZx4mNjdXTTz+t6Ohoff/993r88cc1atQo7du3TyEhIWdyywAAAACgQQTWVjZ58mTZbDZt375d/v7+Zn+fPn00ceJEHT58WMeOHdNHH32k4cOHS5I8Ho9mzpyptLQ0VVZWys/PT5WVlcrNzdWECRMsxw8ODlbXrl2bXc/WrVuVkJCgm2++WZIUGRmpm266yTI7unDhQjkcDj333HNmX1RUlOU4dfvXeeyxx7Ry5Up9+umnuuyyy5pdDwAAAAA0F48Et6Li4mJlZWUpNTXVElbr2O12xcbGKiwsTG63W5JUXl6uvLw8jR07VpGRkcrJyZF0MmhWVVXVm2Ftqfj4eH388cfavn27JOmrr77Su+++qzFjxphj1q5dq4suukhjx45V586dNWjQIK1YsaLRY1ZXV+uZZ55RYGCgBgwY0OCYqqoqlZWVWRoAAAAAtASBtRXt27dPhmEoLi6uyXEul8t8/HfTpk2KjY1VSEiIRo4cafZ7PB5FRUUpIiLCsm98fLw6dOhgaU25+eabNXfuXF188cU699xz1aNHDyUmJmr27NnmmK+++kqZmZnq2bOn1q1bp9///ve699579cILL1iO9fbbb6tDhw7y8/PT448/rvXr1+v8889v8Lzz589XYGCg2RwOR5N1AgAAAMCpCKytyDCMZo1LTEzUli1bVFNTI4/Ho8TEREmS0+m0BNaGZldXr16t/Px8S5OkwsJCS4idN2+eeZx58+Zp2bJlysvL0xtvvKF33nlHf/nLX8xjnjhxQhdeeKHmzZunQYMG6e6779Zdd92l5cuXW87tcrmUn5+vrVu3avTo0brxxht1+PDhBq9x1qxZKi0tNdv+/fubdW8AAAAAoA5rWFtRz549ZbPZtHv37ibHuVwuVVRUaMeOHXK73ZoxY4akk4F14sSJKi4uVm5uriZNmlRvX4fDoZiYmHr9YWFhZniVpKCgIEnSnDlzdMstt+jOO++UJPXr108VFRW6++679cc//lHt2rVTaGioevfubTneBRdcoNdff93S5+/vr5iYGMXExGj48OHq2bOnVq5cqVmzZtWrx9fXV76+vk3eBwAAAABoCjOsrSgoKEjJycnKyMhQRUVFve0lJSWSpB49esjhcGjt2rXKz8+X0+mUJIWHhys8PFxLlixRdXV1i9av+vj4mGEyJibGDKzfffed2rWz/jGfc845kv7/jHBCQoL27NljGfPFF1/Uexz5VCdOnFBVVVWzawQAAACAliCwtrKMjAwdP35cQ4cO1euvv669e/dq165deuqppzRixAhznMvl0rJlyxQTE6MuXbqY/U6nU0uXLjVfznSqI0eOqKioyNJO/abqD6WkpCgzM1OrVq3S119/rfXr12vOnDlKSUkxg+u0adO0bds2zZs3T/v27dMrr7yiZ555RqmpqZKkiooKzZ49W9u2bdO//vUvffzxx5o4caIOHDigsWPHttatAwAAAAALHgluZdHR0crLy9MjjzyitLQ0HTx4UCEhIRo8eLAyMzPNcS6XSy+++KK5frWO0+nUc889V+8zMnWSkpLq9b366qsaN25cg+MffPBB2Ww2Pfjggzpw4IBCQkKUkpKiRx55xBwzZMgQvfnmm5o1a5bmzp2rqKgoPfHEExo/frykkzOyu3fv1gsvvKBvv/1WwcHBGjJkiDZt2lTvm7AAAAAA0FpsRnPfFAScgbKyMgUGBkrhs6V2fm1dTosZhXPaugQAAADgZ6EuG5SWliogIKDJsTwSDAAAAADwSgRWAAAAAIBXIrACAAAAALwSgRUAAAAA4JV4SzDOqtLPH/jRhdUAAAAAIDHDCgAAAADwUgRWAAAAAIBXIrACAAAAALwSgRUAAAAA4JUIrAAAAAAAr8RbgnFWBfZeKLXza+syWp1ROKetSwAAAAB+dphhBQAAAAB4JQIrAAAAAMArEVgBAAAAAF6JwAoAAAAA8EoEVgAAAACAVyKwAgAAAAC8EoH1J1BUVKQpU6YoOjpavr6+cjgcSklJUXZ2tsaNG6fRo0dbxmdlZclmsyk9Pd3Sn56eru7du0uSCgoKZLPZGmzbtm1rtJYVK1bokksuUadOndSpUyclJSVp+/btljHHjh3TPffco27duql9+/bq3bu3li9fbm5v6tyvvfbaGd4tAAAAAGgY32FtZQUFBUpISJDdbteiRYvUr18/1dTUaN26dUpNTdW0adM0ffp01dbWysfn5O13u91yOBzyeDyWY7ndbrlcLkvfhg0b1KdPH0tfcHBwo/V4PB7ddNNNio+Pl5+fnxYuXKhRo0bpn//8p8LDwyVJ9913nzZu3KiXX35ZkZGRev/99zV58mSFhYXp6quvlsPh0MGDBy3HfeaZZ7Ro0SJdccUVp3urAAAAAKBJNsMwjLYu4udkzJgx+vTTT7Vnzx75+/tbtpWUlOjw4cPq1auXcnJyNHz4cEnSsGHDdNtttyktLU1Hjx6Vn5+fKisrZbfbtXz5ct1+++0qKChQVFSUPvnkEw0cOPC06zt+/Lg6deqkp59+WrfeeqskqW/fvvrNb36jOXPmmOMGDx6sK664Qg8//HCDxxk0aJAuvPBCrVy5slnnLSsrU2BgoBQ+W2rnd9r1eyujcM6PDwIAAABgZoPS0lIFBAQ0OZZHgltRcXGxsrKylJqaWi+sSpLdbldsbKzCwsLkdrslSeXl5crLy9PYsWMVGRmpnJwcSdLWrVtVVVVVb4b1TH333XeqqalRUFCQ2RcfH6+1a9fqwIEDMgxDbrdbX3zxhUaNGtXgMT7++GPl5+frjjvuaPQ8VVVVKisrszQAAAAAaAkCayvat2+fDMNQXFxck+NcLpf5+O+mTZsUGxurkJAQjRw50uz3eDyKiopSRESEZd/4+Hh16NDB0lrigQceUFhYmJKSksy+pUuXqnfv3urWrZvOO+88jR49WhkZGRo5cmSDx1i5cqUuuOACxcfHN3qe+fPnKzAw0GwOh6NFdQIAAAAAgbUVNffp6sTERG3ZskU1NTXyeDxKTEyUJDmdTktgbWh2dfXq1crPz7c0SSosLLSE2Hnz5tXbd8GCBVq1apXefPNN+fn9/8dyly5dqm3btmnt2rX6+OOPtWTJEqWmpmrDhg31jvH999/rlVdeaXJ2VZJmzZql0tJSs+3fv79Z9wYAAAAA6vDSpVbUs2dP2Ww27d69u8lxLpdLFRUV2rFjh9xut2bMmCHpZGCdOHGiiouLlZubq0mTJtXb1+FwKCYmpl5/WFiYGV4lWR75laTFixdrwYIF2rBhg/r372/2f//995o9e7befPNNXXnllZKk/v37Kz8/X4sXL7bMxErS3//+d3333Xfm+tfG+Pr6ytfXt8kxAAAAANAUZlhbUVBQkJKTk5WRkaGKiop620tKSiRJPXr0kMPh0Nq1a5Wfny+n0ylJCg8PV3h4uJYsWaLq6uoWrV/18fFRTEyM2X4YWB999FH95S9/UVZWli666CLLfjU1NaqpqVG7dtZfhXPOOUcnTpyod56VK1fq6quvVkhISLNrAwAAAIDTwQxrK8vIyFBCQoKGDh2quXPnqn///qqtrdX69euVmZmpXbt2STo5y7ps2TLFxMSoS5cu5v5Op1NLly41X850qiNHjqioqMjSZ7fbLY/4/tDChQv10EMP6ZVXXlFkZKS5b92jwwEBAXI6nZoxY4bat2+viIgIffDBB3rxxRf12GOPWY61b98+ffjhh3r33XfP6B4BAAAAQHMww9rKoqOjlZeXJ5fLpbS0NPXt21eXX365srOzlZmZaY5zuVwqLy8316/WcTqdKi8vb3R2NSkpSaGhoZa2Zs2aRuvJzMxUdXW1brjhBss+ixcvNsesWrVKQ4YM0fjx49W7d28tWLBAjzzyiH73u99ZjvXss8+qW7dujb49GAAAAABaE99hxVnBd1gBAAAASHyHFQAAAADwM0BgBQAAAAB4JQIrAAAAAMArEVgBAAAAAF6Jz9rgrCr9/IEfXVgNAAAAABIzrAAAAAAAL0VgBQAAAAB4JQIrAAAAAMArEVgBAAAAAF6JwAoAAAAA8Eq8JRhnVWDvhVI7v7Yuo80ZhXPaugQAAADA6zHDCgAAAADwSgRWAAAAAIBXIrACAAAAALwSgRUAAAAA4JUIrAAAAAAAr0RgBQAAAAB4JQJrGykqKtKUKVMUHR0tX19fORwOpaSkKDs7W+PGjdPo0aMt47OysmSz2ZSenm7pT09PV/fu3SVJBQUFstlsDbZt27Y1WsuKFSt0ySWXqFOnTurUqZOSkpK0fft2yxjDMPTQQw8pNDRU7du3V1JSkvbu3ds6NwMAAAAAGkBgbQMFBQUaPHiwNm7cqEWLFmnnzp3KysqSy+VSamqqXC6XtmzZotraWnMft9sth8Mhj8djOZbb7ZbL5bL0bdiwQQcPHrS0wYMHN1qPx+PRTTfdJLfbrZycHDkcDo0aNUoHDhwwxzz66KN66qmntHz5cuXm5srf31/JycmqrKxsnZsCAAAAAKewGYZhtHURvzRjxozRp59+qj179sjf39+yraSkRIcPH1avXr2Uk5Oj4cOHS5KGDRum2267TWlpaTp69Kj8/PxUWVkpu92u5cuX6/bbb1dBQYGioqL0ySefaODAgadd3/Hjx9WpUyc9/fTTuvXWW2UYhsLCwpSWlqbp06dLkkpLS9WlSxc9//zzGjdu3I8es6ysTIGBgVL4bKmd32nX9nNhFM5p6xIAAACANlGXDUpLSxUQENDkWGZYz7Li4mJlZWUpNTW1XliVJLvdrtjYWIWFhcntdkuSysvLlZeXp7FjxyoyMlI5OTmSpK1bt6qqqqreDOuZ+u6771RTU6OgoCBJ0tdff62ioiIlJSWZYwIDAzVs2DCzllNVVVWprKzM0gAAAACgJQisZ9m+fftkGIbi4uKaHOdyuczHfzdt2qTY2FiFhIRo5MiRZr/H41FUVJQiIiIs+8bHx6tDhw6W1hIPPPCAwsLCzIBaVFQkSerSpYtlXJcuXcxtp5o/f74CAwPN5nA4WlQDAAAAABBYz7LmPoGdmJioLVu2qKamRh6PR4mJiZIkp9NpCawNza6uXr1a+fn5liZJhYWFlhA7b968evsuWLBAq1at0ptvvik/v9N/dHfWrFkqLS012/79+0/7WAAAAAB+mXzauoBfmp49e8pms2n37t1NjnO5XKqoqNCOHTvkdrs1Y8YMSScD68SJE1VcXKzc3FxNmjSp3r4Oh0MxMTH1+sPCwszwKsl85LfO4sWLtWDBAm3YsEH9+/c3+7t27SpJOnTokEJDQ83+Q4cONbpW1tfXV76+vk1eIwAAAAA0hRnWsywoKEjJycnKyMhQRUVFve0lJSWSpB49esjhcGjt2rXKz8+X0+mUJIWHhys8PFxLlixRdXV1i9av+vj4KCYmxmw/DKyPPvqo/vKXvygrK0sXXXSRZb+oqCh17dpV2dnZZl9ZWZlyc3M1YsSIllw+AAAAADQbgbUNZGRk6Pjx4xo6dKhef/117d27V7t27dJTTz1lCYAul0vLli1TTEyMZf2o0+nU0qVLzZcznerIkSMqKiqytKY+P7Nw4ULNmTNHzz77rCIjI819jh07Jkmy2WyaOnWqHn74Ya1du1Y7d+7UrbfeqrCwMF177bWtd2MAAAAA4AcIrG0gOjpaeXl5crlcSktLU9++fXX55ZcrOztbmZmZ5jiXy6Xy8nJz/Wodp9Op8vLyRmdXk5KSFBoaamlr1qxptJ7MzExVV1frhhtusOyzePFic8z999+vKVOm6O6779aQIUN07NgxZWVlndE6VwAAAABoCt9hxVnBd1it+A4rAAAAfqn4DisAAAAA4L8egRUAAAAA4JUIrAAAAAAAr0RgBQAAAAB4JZ+2LgC/LKWfP/CjC6sBAAAAQGKGFQAAAADgpQisAAAAAACvRGAFAAAAAHglAisAAAAAwCsRWAEAAAAAXom3BOOsCuy9UGrn19ZleDWjcE5blwAAAAB4BWZYAQAAAABeicAKAAAAAPBKBFYAAAAAgFcisAIAAAAAvBKBFQAAAADglQisAAAAAACvRGBtI0VFRZoyZYqio6Pl6+srh8OhlJQUZWdna9y4cRo9erRlfFZWlmw2m9LT0y396enp6t69uySpoKBANputwbZt27ZGa0lMTGxwnyuvvNIc09hxFy1a1Ho3BQAAAAB+gO+wtoGCggIlJCTIbrdr0aJF6tevn2pqarRu3TqlpqZq2rRpmj59umpra+Xjc/KPyO12y+FwyOPxWI7ldrvlcrksfRs2bFCfPn0sfcHBwY3W88Ybb6i6utr8+ciRIxowYIDGjh1r9h08eNCyz3vvvac77rhD119/fYuuHQAAAACai8DaBiZPniybzabt27fL39/f7O/Tp48mTpyow4cP69ixY/roo480fPhwSZLH49HMmTOVlpamyspK+fn5qbKyUrm5uZowYYLl+MHBweratWuz6wkKCrL8vGrVKv3qV7+yBNZTj/fWW2/J5XIpOjq62ecBAAAAgJbgkeCzrLi4WFlZWUpNTbWE1Tp2u12xsbEKCwuT2+2WJJWXlysvL09jx45VZGSkcnJyJElbt25VVVVVvRnWM7Vy5UqNGzeuwfok6dChQ3rnnXd0xx13NHqMqqoqlZWVWRoAAAAAtASB9Szbt2+fDMNQXFxck+NcLpf5+O+mTZsUGxurkJAQjRw50uz3eDyKiopSRESEZd/4+Hh16NDB0ppr+/bt+uyzz3TnnXc2OuaFF15Qx44d9etf/7rRMfPnz1dgYKDZHA5Hs2sAAAAAAInAetYZhtGscYmJidqyZYtqamrk8XiUmJgoSXI6nZbA2tDs6urVq5Wfn29pklRYWGgJsfPmzau378qVK9WvXz8NHTq00dqeffZZjR8/Xn5+fo2OmTVrlkpLS822f//+Zl03AAAAANRhDetZ1rNnT9lsNu3evbvJcS6XSxUVFdqxY4fcbrdmzJgh6WRgnThxooqLi5Wbm6tJkybV29fhcCgmJqZef1hYmBlepfprVysqKrRq1SrNnTu30bo2bdqkPXv2aPXq1U3W7+vrK19f3ybHAAAAAEBTmGE9y4KCgpScnKyMjAxVVFTU215SUiJJ6tGjhxwOh9auXav8/Hw5nU5JUnh4uMLDw7VkyRJVV1e3aP2qj4+PYmJizHZqYH3ttddUVVWl3/72t40eY+XKlRo8eLAGDBjQ7PMCAAAAwOkgsLaBjIwMHT9+XEOHDtXrr7+uvXv3ateuXXrqqac0YsQIc5zL5dKyZcsUExOjLl26mP1Op1NLly41X850qiNHjqioqMjSKisrf7SulStX6tprr230EzhlZWV67bXXmlzfCgAAAACthcDaBqKjo5WXlyeXy6W0tDT17dtXl19+ubKzs5WZmWmOc7lcKi8vN9ev1nE6nSovL290djUpKUmhoaGWtmbNmiZr2rNnjzZv3tzkm39XrVolwzB00003NftaAQAAAOB02YzmvgUIOANlZWUKDAyUwmdL7Rp/WRMko3BOW5cAAAAA/GTqskFpaakCAgKaHMsMKwAAAADAKxFYAQAAAABeicAKAAAAAPBKBFYAAAAAgFcisAIAAAAAvJJPWxeAX5bSzx/40TeBAQAAAIDEDCsAAAAAwEsRWAEAAAAAXonACgAAAADwSgRWAAAAAIBX4qVLOKsCey+U2vm1dRn/9YzCOW1dAgAAAPCTY4YVAAAAAOCVCKwAAAAAAK9EYAUAAAAAeCUCKwAAAADAKxFYAQAAAABeicAKAAAAAPBKBFYAAAAAgFcisLaRoqIiTZkyRdHR0fL19ZXD4VBKSoqys7M1btw4jR492jI+KytLNptN6enplv709HR1795dklRQUCCbzdZg27ZtW6O1JCYmNrjPlVdeaY45duyY7rnnHnXr1k3t27dX7969tXz58ta7IQAAAABwCp+2LuCXqKCgQAkJCbLb7Vq0aJH69eunmpoarVu3TqmpqZo2bZqmT5+u2tpa+fic/CNyu91yOBzyeDyWY7ndbrlcLkvfhg0b1KdPH0tfcHBwo/W88cYbqq6uNn8+cuSIBgwYoLFjx5p99913nzZu3KiXX35ZkZGRev/99zV58mSFhYXp6quvPt1bAQAAAACNIrC2gcmTJ8tms2n79u3y9/c3+/v06aOJEyfq8OHDOnbsmD766CMNHz5ckuTxeDRz5kylpaWpsrJSfn5+qqysVG5uriZMmGA5fnBwsLp27drseoKCgiw/r1q1Sr/61a8sgXXr1q267bbblJiYKEm6++679de//lXbt29vMLBWVVWpqqrK/LmsrKzZ9QAAAACAxCPBZ11xcbGysrKUmppqCat17Ha7YmNjFRYWJrfbLUkqLy9XXl6exo4dq8jISOXk5Eg6GSKrqqrqzbCeqZUrV2rcuHGW+uLj47V27VodOHBAhmHI7Xbriy++0KhRoxo8xvz58xUYGGg2h8PRqjUCAAAA+PkjsJ5l+/btk2EYiouLa3Kcy+UyH//dtGmTYmNjFRISopEjR5r9Ho9HUVFRioiIsOwbHx+vDh06WFpzbd++XZ999pnuvPNOS//SpUvVu3dvdevWTeedd55Gjx6tjIwMjRw5ssHjzJo1S6WlpWbbv39/s2sAAAAAAIlHgs86wzCaNS4xMVFTp05VTU2NPB6P+Siu0+nUX//6V0knA2tDs6urV6/WBRdcUK+/sLBQvXv3Nn+ePXu2Zs+ebRmzcuVK9evXT0OHDrX0L126VNu2bdPatWsVERGhDz/8UKmpqQoLC1NSUlK9c/n6+srX17dZ1woAAAAADSGwnmU9e/aUzWbT7t27mxzncrlUUVGhHTt2yO12a8aMGZJOBtaJEyequLhYubm5mjRpUr19HQ6HYmJi6vWHhYUpPz/f/PnUtasVFRVatWqV5s6da+n//vvvNXv2bL355pvmm4P79++v/Px8LV68uMHACgAAAABnikeCz7KgoCAlJycrIyNDFRUV9baXlJRIknr06CGHw6G1a9cqPz9fTqdTkhQeHq7w8HAtWbJE1dXVLVq/6uPjo5iYGLOdGlhfe+01VVVV6be//a2lv6amRjU1NWrXzvrrcs455+jEiRPNPj8AAAAAtASBtQ1kZGTo+PHjGjp0qF5//XXt3btXu3bt0lNPPaURI0aY41wul5YtW6aYmBh16dLF7Hc6nVq6dKn5cqZTHTlyREVFRZZWWVn5o3WtXLlS1157bb1P4AQEBMjpdGrGjBnyeDz6+uuv9fzzz+vFF1/UdddddwZ3AgAAAAAaR2BtA9HR0crLy5PL5VJaWpr69u2ryy+/XNnZ2crMzDTHuVwulZeXm+tX6zidTpWXlzc6u5qUlKTQ0FBLW7NmTZM17dmzR5s3b9Ydd9zR4PZVq1ZpyJAhGj9+vHr37q0FCxbokUce0e9+97sWXTsAAAAANJfNaO5bgIAzUFZWpsDAQCl8ttTOr63L+a9nFM5p6xIAAACA01KXDUpLSxUQENDkWGZYAQAAAABeicAKAAAAAPBKBFYAAAAAgFcisAIAAAAAvJJPWxeAX5bSzx/40YXVAAAAACAxwwoAAAAA8FIEVgAAAACAV2pRYN2+fbuOHz/e6Paqqir97//+7xkXBQAAAABAiwLriBEjdOTIEfPngIAAffXVV+bPJSUluummm1qvOgAAAADAL1aLXrpkGEaTPzfWB9QJ7L1QaufX1mX81zMK57R1CQAAAMBPrtXXsNpsttY+JAAAAADgF4iXLgEAAAAAvFKLv8P6+eefq6ioSNLJx393796tY8eOSZK+/fbb1q0OAAAAAPCL1eLAetlll1nWqV511VWSTj4KbBgGjwQDAAAAAFpFiwLr119//VPVAQAAAACARYsCa0RExE9VBwAAAAAAFi166VJERIQmTJigF198Ufv37/+pagIAAAAAoGWBdcKECfr66681adIkRUZGKiYmRnfddZdeffVV80VMkIqKijRlyhRFR0fL19dXDodDKSkpys7O1rhx4zR69GjL+KysLNlsNqWnp1v609PT1b17d0lSQUGBbDZbg23btm3NqmvVqlWy2Wy69tpr650nLi5O/v7+6tSpk5KSkpSbm9vgMaqqqjRw4EDZbDbl5+c367wAAAAAcDpa9EhwXaCqqqrSli1b9MEHH8jj8eill15STU2NYmNjdemllyojI+OnqPW/QkFBgRISEmS327Vo0SL169dPNTU1WrdunVJTUzVt2jRNnz5dtbW18vE5efvdbrccDoc8Ho/lWG63Wy6Xy9K3YcMG9enTx9IXHBzcrLqmT5+uSy65pN622NhYPf3004qOjtb333+vxx9/XKNGjdK+ffsUEhJiGXv//fcrLCxM//d//9ec2wEAAAAAp81m/PCVv6fp6NGjWrJkiZYuXapjx47p+PHjrVHbf6UxY8bo008/1Z49e+Tv72/ZVlJSosOHD6tXr17KycnR8OHDJUnDhg3TbbfdprS0NB09elR+fn6qrKyU3W7X8uXLdfvtt6ugoEBRUVH65JNPNHDgwBbVdPz4cY0cOVITJ07Upk2bVFJSojVr1jQ6vqysTIGBgdqwYYMuu+wys/+9997Tfffdp9dff119+vRpUS11x1T4bKmdX4vqR31G4Zy2LgEAAAA4LXXZoLS0VAEBAU2ObdEjwXWqq6v1wQcf6M9//rNcLpfCw8O1evVq3XDDDXruuedOq+ifg+LiYmVlZSk1NbVeWJUku92u2NhYhYWFye12S5LKy8uVl5ensWPHKjIyUjk5OZKkrVu3qqqqqt4M6+mYO3euOnfurDvuuONHx1ZXV+uZZ55RYGCgBgwYYPYfOnRId911l1566SX96le/+tHjVFVVqayszNIAAAAAoCVaFFjnzp2rSy+9VJ06ddLvf/97HTx4UHfffbf27dunvXv3auXKlbr11lt/qlq93r59+2QYhuLi4poc53K5zMd/N23apNjYWIWEhGjkyJFmv8fjUVRUVL03M8fHx6tDhw6W1pTNmzdr5cqVWrFiRZPj3n77bXXo0EF+fn56/PHHtX79ep1//vmSJMMwdPvtt+t3v/udLrrooiaPU2f+/PkKDAw0m8PhaNZ+AAAAAFCnxWtYu3fvriVLlmjs2LHNWjv5S9Lcp6sTExM1depU1dTUyOPxKDExUZLkdDr117/+VdLJwNrQ7Orq1at1wQUX1OsvLCxU7969zZ9nz56tKVOm6JZbbtGKFSvM8NkYl8ul/Px8ffvtt1qxYoVuvPFG5ebmqnPnzlq6dKnKy8s1a9asZl2fJM2aNUv33Xef+XNZWRmhFQAAAECLtCiwvvfee3K73Xr++ef1hz/8QbGxsUpMTJTT6ZTT6az3gp5fmp49e8pms2n37t1NjnO5XKqoqNCOHTvkdrs1Y8YMSScD68SJE1VcXKzc3FxNmjSp3r4Oh0MxMTH1+sPCwixv7Q0KCtKXX36pgoICpaSkmP0nTpyQJPn4+GjPnj3q0aOHJMnf318xMTGKiYnR8OHD1bNnT61cuVKzZs3Sxo0blZOTI19fX8s5L7roIo0fP14vvPBCvXp8fX3rjQcAAACAlmhRYE1OTlZycrKkk2svN23apA8++ECPPvqoxo8fr5iYGLlcLj399NM/SbHeLigoSMnJycrIyNC9997b4EuX7Ha7evToIYfDobVr1yo/P19Op1OSFB4ervDwcC1ZskTV1dUtWr/q4+NTL8j+6le/0s6dOy19Dz74oMrLy/Xkk082OeN54sQJVVVVSZKeeuopPfzww+a2b775RsnJyVq9erWGDRvW7BoBAAAAoCVaFFh/qGPHjhozZoySk5O1fft2rV27VsuWLVNmZuYvNrBKUkZGhhISEjR06FDNnTtX/fv3V21trdavX6/MzEzt2rVL0slZ1mXLlikmJkZdunQx93c6nVq6dKn5cqZTHTlypN43b+12u/z86r9518/PT3379q03VpLZX1FRoUceeURXX321QkND9e233yojI0MHDhzQ2LFjJcn8FmydunWzPXr0ULdu3VpyewAAAACg2VocWE+cOKGPPvpIbrdbHo9HW7ZsUUVFhbp166brrruuVd5q+98sOjpaeXl5euSRR5SWlqaDBw8qJCREgwcPVmZmpjnO5XLpxRdfNNev1nE6nXruued08803N3j8pKSken2vvvqqxo0bd1r1nnPOOdq9e7deeOEFffvttwoODtaQIUO0adOmet97BQAAAICzqUXfYb3iiiu0detWlZeXKywsTC6XS4mJiXK5XIqOjv4p68R/Ob7D2rr4DisAAAD+W7XkO6wtmmG12+1avHixEhMT1bNnzzMqEgAAAACAprToO6x33XWXHn/8ccuayzqlpaXq06ePNm3a1GrFAQAAAAB+uVoUWJ988kndfffdDU7bBgYGatKkSXrsscdarTgAAAAAwC9XiwLrJ598Yn7WpiGjRo3Sxx9/fMZFAQAAAADQojWshw8f1rnnntv4wXx89J///OeMi8LPV+nnD/zowmoAAAAAkFo4wxoeHq7PPvus0e2ffvqpQkNDz7goAAAAAABaFFjHjBmjOXPmqLKyst6277//Xn/605901VVXtVpxAAAAAIBfrhZ9h/XQoUO68MILdc455+iee+5Rr169JEm7d+9WRkaGjh8/rry8vAbfIoxftpZ8awkAAADAz9dP9h3WLl26aOvWrfr973+vWbNmqS7r2mw2JScnKyMjg7AKAAAAAGgVLQqskhQREaF3331XR48e1b59+2QYhnr27KlOnTr9FPUBAAAAAH6hWhxY63Tq1ElDhgxpzVrwCxDYe6HUzq+ty/jZMArntHUJAAAAwE+mRS9dAgAAAADgbCGwAgAAAAC8EoEVAAAAAOCVCKwAAAAAAK9EYAUAAAAAeCUCKwAAAADAKxFYfwJFRUWaMmWKoqOj5evrK4fDoZSUFGVnZ2vcuHEaPXq0ZXxWVpZsNpvS09Mt/enp6erevbskqaCgQDabrcG2bdu2Rmv55z//qeuvv16RkZGy2Wx64okn6o2ZP3++hgwZoo4dO6pz58669tprtWfPHsuYyspKpaamKjg4WB06dND111+vQ4cOnd4NAgAAAIBmILC2soKCAg0ePFgbN27UokWLtHPnTmVlZcnlcik1NVUul0tbtmxRbW2tuY/b7ZbD4ZDH47Ecy+12y+VyWfo2bNiggwcPWtrgwYMbree7775TdHS0FixYoK5duzY45oMPPlBqaqq2bdum9evXq6amRqNGjVJFRYU5Ztq0afrHP/6h1157TR988IG++eYb/frXvz6NOwQAAAAAzePT1gX83EyePFk2m03bt2+Xv7+/2d+nTx9NnDhRhw8f1rFjx/TRRx9p+PDhkiSPx6OZM2cqLS1NlZWV8vPzU2VlpXJzczVhwgTL8YODgxsNng0ZMmSIhgwZIkmaOXNmg2OysrIsPz///PPq3LmzPv74Y40cOVKlpaVauXKlXnnlFV166aWSpOeee04XXHCBtm3bZl4HAAAAALQmZlhbUXFxsbKyspSammoJq3XsdrtiY2MVFhYmt9stSSovL1deXp7Gjh2ryMhI5eTkSJK2bt2qqqqqejOsZ0NpaakkKSgoSJL08ccfq6amRklJSeaYuLg4de/e3az3VFVVVSorK7M0AAAAAGgJAmsr2rdvnwzDUFxcXJPjXC6X+fjvpk2bFBsbq5CQEI0cOdLs93g8ioqKUkREhGXf+Ph4dejQwdJa04kTJzR16lQlJCSob9++kk6uyT3vvPNkt9stY7t06aKioqIGjzN//nwFBgaazeFwtGqdAAAAAH7+CKytyDCMZo1LTEzUli1bVFNTI4/Ho8TEREmS0+m0BNaGZldXr16t/Px8S5OkwsJCS4idN2/eaV1DamqqPvvsM61ateq09q8za9YslZaWmm3//v1ndDwAAAAAvzysYW1FPXv2lM1m0+7du5sc53K5VFFRoR07dsjtdmvGjBmSTgbWiRMnqri4WLm5uZo0aVK9fR0Oh2JiYur1h4WFmeFV+v+P87bEPffco7ffflsffvihunXrZvZ37dpV1dXVKikpscyyHjp0qNH1tL6+vvL19W1xDQAAAABQhxnWVhQUFKTk5GRlZGRY3rBbp6SkRJLUo0cPORwOrV27Vvn5+XI6nZKk8PBwhYeHa8mSJaqurm7R+lUfHx/FxMSYrSWB1TAM3XPPPXrzzTe1ceNGRUVFWbYPHjxY5557rrKzs82+PXv2qLCwUCNGjGj2eQAAAACgJZhhbWUZGRlKSEjQ0KFDNXfuXPXv31+1tbVav369MjMztWvXLkknZ1mXLVummJgYdenSxdzf6XRq6dKl5suZTnXkyJF660btdrv8/PwarKe6ulqff/65+d8HDhxQfn6+OnToYM7Upqam6pVXXtFbb72ljh07mscPDAxU+/btFRgYqDvuuEP33XefgoKCFBAQoClTpmjEiBG8IRgAAADAT4YZ1lYWHR2tvLw8uVwupaWlqW/fvrr88suVnZ2tzMxMc5zL5VJ5ebm5frWO0+lUeXl5o7OrSUlJCg0NtbQ1a9Y0Ws8333yjQYMGadCgQTp48KAWL16sQYMG6c477zTHZGZmqrS0VImJiZbjrl692hzz+OOP66qrrtL111+vkSNHqmvXrnrjjTdO7yYBAAAAQDPYjOa+KQg4A2VlZQoMDJTCZ0vtGp4NRssZhXPaugQAAACgReqyQWlpqQICApocywwrAAAAAMArEVgBAAAAAF6JwAoAAAAA8EoEVgAAAACAV+KzNjirSj9/4EcXVgMAAACAxAwrAAAAAMBLEVgBAAAAAF6JwAoAAAAA8EoEVgAAAACAVyKwAgAAAAC8Em8JxlkV2Huh1M6vrcv42TEK57R1CQAAAECrY4YVAAAAAOCVCKwAAAAAAK9EYAUAAAAAeCUCKwAAAADAKxFYAQAAAABeicAKAAAAAPBKBNafQFFRkaZMmaLo6Gj5+vrK4XAoJSVF2dnZGjdunEaPHm0Zn5WVJZvNpvT0dEt/enq6unfvLkkqKCiQzWZrsG3btq1Zda1atUo2m03XXnutpf+NN97QqFGjFBwcLJvNpvz8/Ab3z8nJ0aWXXip/f38FBARo5MiR+v7775t1bgAAAABoKb7D2soKCgqUkJAgu92uRYsWqV+/fqqpqdG6deuUmpqqadOmafr06aqtrZWPz8nb73a75XA45PF4LMdyu91yuVyWvg0bNqhPnz6WvuDg4GbVNX36dF1yySX1tlVUVOjiiy/WjTfeqLvuuqvB/XNycjR69GjNmjVLS5culY+Pj/7v//5P7drxbx4AAAAAfhoE1lY2efJk2Ww2bd++Xf7+/mZ/nz59NHHiRB0+fFjHjh3TRx99pOHDh0uSPB6PZs6cqbS0NFVWVsrPz0+VlZXKzc3VhAkTLMcPDg5W165dW1TT8ePHNX78eP35z3/Wpk2bVFJSYtl+yy23SDoZahszbdo03XvvvZo5c6bZ16tXrxbVAQAAAAAtwfRYKyouLlZWVpZSU1MtYbWO3W5XbGyswsLC5Ha7JUnl5eXKy8vT2LFjFRkZqZycHEnS1q1bVVVVVW+G9XTMnTtXnTt31h133HFa+x8+fFi5ubnq3Lmz4uPj1aVLFzmdTm3evLnRfaqqqlRWVmZpAAAAANASBNZWtG/fPhmGobi4uCbHuVwu8/HfTZs2KTY2ViEhIRo5cqTZ7/F4FBUVpYiICMu+8fHx6tChg6U1ZfPmzVq5cqVWrFhx2tf11VdfSTq5pvauu+5SVlaWLrzwQl122WXau3dvg/vMnz9fgYGBZnM4HKd9fgAAAAC/TATWVmQYRrPGJSYmasuWLaqpqZHH41FiYqIkyel0WgJrQ7Orq1evVn5+vqVJUmFhoSXEzps3T+Xl5brlllu0YsUKnX/++ad9XSdOnJAkTZo0SRMmTNCgQYP0+OOPq1evXnr22Wcb3GfWrFkqLS012/79+0/7/AAAAAB+mVjD2op69uwpm82m3bt3NznO5XKpoqJCO3bskNvt1owZMySdDKwTJ05UcXGxcnNzNWnSpHr7OhwOxcTE1OsPCwuzvN03KChIX375pQoKCpSSkmL214VPHx8f7dmzRz169PjR6woNDZUk9e7d29J/wQUXqLCwsMF9fH195evr+6PHBgAAAIDGEFhbUVBQkJKTk5WRkaF777233jrWkpIS2e129ejRQw6HQ2vXrlV+fr6cTqckKTw8XOHh4VqyZImqq6tbtH7Vx8enXpD91a9+pZ07d1r6HnzwQZWXl+vJJ59s9mO6kZGRCgsL0549eyz9X3zxha644opm1wgAAAAALUFgbWUZGRlKSEjQ0KFDNXfuXPXv31+1tbVav369MjMztWvXLkknZ1mXLVummJgYdenSxdzf6XRq6dKl5suZTnXkyBEVFRVZ+ux2u/z8/OqN9fPzU9++feuNlWTpLy4uVmFhob755htJMoNp165d1bVrV9lsNs2YMUN/+tOfNGDAAA0cOFAvvPCCdu/erb///e+ncZcAAAAA4MexhrWVRUdHKy8vTy6XS2lpaerbt68uv/xyZWdnKzMz0xzncrlUXl5url+t43Q6VV5e3ujsalJSkkJDQy1tzZo1Z1Tz2rVrNWjQIF155ZWSpHHjxmnQoEFavny5OWbq1KmaNWuWpk2bpgEDBig7O1vr169v1iPFAAAAAHA6bEZz3xQEnIGysjIFBgZK4bOldvVng3FmjMI5bV0CAAAA0Cx12aC0tFQBAQFNjmWGFQAAAADglQisAAAAAACvRGAFAAAAAHglAisAAAAAwCvxWRucVaWfP/CjC6sBAAAAQGKGFQAAAADgpQisAAAAAACvRGAFAAAAAHglAisAAAAAwCsRWAEAAAAAXom3BOOsCuy9UGrn19ZloJUYhXPaugQAAAD8jDHDCgAAAADwSgRWAAAAAIBXIrACAAAAALwSgRUAAAAA4JUIrAAAAAAAr0RgBQAAAAB4JQIrAAAAAMArEVh/AkVFRZoyZYqio6Pl6+srh8OhlJQUZWdna9y4cRo9erRlfFZWlmw2m9LT0y396enp6t69uySpoKBANputwbZt27Ym63niiSfUq1cvtW/fXg6HQ9OmTVNlZaVlzIEDB/Tb3/5WwcHBat++vfr166ePPvpIklRTU6MHHnhA/fr1k7+/v8LCwnTrrbfqm2++OcM7BQAAAACN82nrAn5uCgoKlJCQILvdrkWLFqlfv36qqanRunXrlJqaqmnTpmn69Omqra2Vj8/J2+92u+VwOOTxeCzHcrvdcrlclr4NGzaoT58+lr7g4OBG63nllVc0c+ZMPfvss4qPj9cXX3yh22+/XTabTY899pgk6ejRo0pISJDL5dJ7772nkJAQ7d27V506dZIkfffdd8rLy9OcOXM0YMAAHT16VH/4wx909dVXm6EWAAAAAFobgbWVTZ48WTabTdu3b5e/v7/Z36dPH02cOFGHDx/WsWPH9NFHH2n48OGSJI/Ho5kzZyotLU2VlZXy8/NTZWWlcnNzNWHCBMvxg4OD1bVr12bXs3XrViUkJOjmm2+WJEVGRuqmm25Sbm6uOWbhwoVyOBx67rnnzL6oqCjzvwMDA7V+/XrLcZ9++mkNHTpUhYWF5izwD1VVVamqqsr8uaysrNk1AwAAAIDEI8Gtqri4WFlZWUpNTbWE1Tp2u12xsbEKCwuT2+2WJJWXlysvL09jx45VZGSkcnJyJJ0MmlVVVfVmWFsqPj5eH3/8sbZv3y5J+uqrr/Tuu+9qzJgx5pi1a9fqoosu0tixY9W5c2cNGjRIK1asaPK4paWlstlsstvtDW6fP3++AgMDzeZwOM7oOgAAAAD88hBYW9G+fftkGIbi4uKaHOdyuczHfzdt2qTY2FiFhIRo5MiRZr/H41FUVJQiIiIs+8bHx6tDhw6W1pSbb75Zc+fO1cUXX6xzzz1XPXr0UGJiombPnm2O+eqrr5SZmamePXtq3bp1+v3vf697771XL7zwQoPHrKys1AMPPKCbbrpJAQEBDY6ZNWuWSktLzbZ///4m6wQAAACAUxFYW5FhGM0al5iYqC1btqimpkYej0eJiYmSJKfTaQmsDc2url69Wvn5+Zam/9fevYdVVeb//39tREFEQAzl4FZBQMRQyzwbmz2hUH1sOlmaHQzNGunkaVLLMhtPmX0qB6kxTzWllodymsJR22ga4oGYckQTizQHxvmKAqIcXb8//Lk+7TiIabKr5+O67uty3+te93qv3bq4rlf3WmtLOnz4sFOInTVrljnPrFmztHDhQmVlZWnt2rX6+9//rhdeeMGc8+zZs7r22ms1a9YsXXPNNRozZoweeughvf766zWOX1lZqbvuukuGYSg1NbXOc/Tw8JCPj49TAwAAAICLwTOsl1FERIQsFov2799f7zi73a7S0lLt2rVLDodDkyZNknQusCYlJamwsFCZmZl6+OGHa+xrtVoVHh5eoz84ONgMr5Lk7+8vSZo2bZruu+8+jR49WpIUExOj0tJSjRkzRk8//bTc3NwUFBSk6Ohop/m6dOmiNWvWOPWdD6vfffedPv30U0IoAAAAgJ8VK6yXkb+/vxISEpSSkqLS0tIa20+ePClJ6tSpk6xWq9avX6/s7GzZbDZJUkhIiEJCQjR//nxVVFRc1POr7u7uCg8PN9v5wHr69Gm5uTn/Z27SpImk/1sRHjBggA4cOOA05uuvv3a6Hfl8WD148KA2bdpU75uJAQAAAOByILBeZikpKaqurlbv3r21Zs0aHTx4UDk5OXrttdfUr18/c5zdbtfChQsVHh6utm3bmv02m00LFiwwX870Y8ePH1dBQYFT+/Fvqv7QkCFDlJqaqpUrV+rbb7/Vxo0bNW3aNA0ZMsQMruPGjdOOHTs0a9Ys5ebm6t1339Vf/vIXJScnSzoXVu+8807t3r1b77zzjqqrq81jV1RUXK6vDgAAAACccEvwZRYWFqasrCzNnDlTEyZMUH5+vgICAtSzZ0+nZz7tdrveeust8/nV82w2m5YuXWr+DM2PxcfH1+hbsWKFhg0bVuv4Z555RhaLRc8884yOHj2qgIAADRkyRDNnzjTH9OrVS+vWrdOUKVM0Y8YMhYaG6pVXXtGIESMkSUePHtX69eslST169HCa3+Fw1DgHAAAAALgcLEZD3xQEXILi4mL5+vpKIVMlN8/GLgeXiXF4WmOXAAAAgF+Y89mgqKjogu/F4ZZgAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl8RbgnFFFe176oIPVgMAAACAxAorAAAAAMBFEVgBAAAAAC6JwAoAAAAAcEkEVgAAAACAS+KlS7iifKPnSm6ejV0GLjPj8LTGLgEAAAC/QqywAgAAAABcEoEVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJBNZGUlBQoMcee0xhYWHy8PCQ1WrVkCFDtHnzZg0bNkyJiYlO49PS0mSxWDR9+nSn/unTp6t9+/aSpLy8PFksllrbjh076qxl0aJFuv7669WqVSu1atVK8fHx2rlzp7m9srJSTz31lGJiYtSiRQsFBwfr/vvv17///e/L94UAAAAAwI8QWBtBXl6eevbsqU8//VTz5s3TV199pbS0NNntdiUnJ8tut2v79u2qqqoy93E4HLJarUpPT3eay+FwyG63O/Vt2rRJ+fn5Tq1nz5511pOenq7hw4fL4XAoIyNDVqtVgwcP1tGjRyVJp0+fVlZWlqZNm6asrCytXbtWBw4c0C233HL5vhQAAAAA+BGLYRhGYxfxW3PTTTfpyy+/1IEDB9SiRQunbSdPntSxY8fUuXNnZWRkqG/fvpKkPn366IEHHtCECRN04sQJeXp6qqysTH5+fnr99dc1cuRI5eXlKTQ0VF988YV69Ojxk+urrq5Wq1at9Oc//1n3339/rWN27dql3r1767vvvjNXeOtTXFwsX19fKWSq5Ob5k2uDazIOT2vsEgAAAPALcT4bFBUVycfHp96xrLBeYYWFhUpLS1NycnKNsCpJfn5+ioyMVHBwsBwOhySppKREWVlZGjp0qDp27KiMjAxJ0ueff67y8vIaK6yX6vTp06qsrJS/v3+dY4qKimSxWOTn51fr9vLychUXFzs1AAAAALgYBNYrLDc3V4ZhKCoqqt5xdrvdvP33s88+U2RkpAICAhQbG2v2p6enKzQ0VB06dHDat3///vL29nZqF+Opp55ScHCw4uPja91eVlamp556SsOHD6/z/4jMnj1bvr6+ZrNarRdVAwAAAAAQWK+wht6BHRcXp+3bt6uyslLp6emKi4uTJNlsNqfAWtvq6qpVq5Sdne3UJOnw4cNOIXbWrFk19p0zZ45WrlypdevWydOz5q27lZWVuuuuu2QYhlJTU+usf8qUKSoqKjLbkSNHGnTeAAAAAHCee2MX8FsTEREhi8Wi/fv31zvObrertLRUu3btksPh0KRJkySdC6xJSUkqLCxUZmamHn744Rr7Wq1WhYeH1+gPDg42w6ukGrf8vvTSS5ozZ442bdqkbt261dj/fFj97rvv9Omnn9Z7v7mHh4c8PDzqPUcAAAAAqA8rrFeYv7+/EhISlJKSotLS0hrbT548KUnq1KmTrFar1q9fr+zsbNlsNklSSEiIQkJCNH/+fFVUVFzU86vu7u4KDw832w8D64svvqgXXnhBaWlpuu6662rsez6sHjx4UJs2bVLr1q0v8swBAAAA4OIQWBtBSkqKqqur1bt3b61Zs0YHDx5UTk6OXnvtNfXr188cZ7fbtXDhQoWHh6tt27Zmv81m04IFC8yXM/3Y8ePHVVBQ4NTKysrqrGfu3LmaNm2alixZoo4dO5r7nDp1StK5sHrnnXdq9+7deuedd1RdXW2OqaiouIzfDAAAAAD8HwJrIwgLC1NWVpbsdrsmTJigq6++WoMGDdLmzZudngu12+0qKSkxn189z2azqaSkpM7V1fj4eAUFBTm1Dz74oM56UlNTVVFRoTvvvNNpn5deekmSdPToUa1fv17ff/+9evTo4TTm888/v+TvAwAAAABqw++w4orgd1h/3fgdVgAAADQUv8MKAAAAAPjFI7ACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl+Te2AXgt6Vo31MXfLAaAAAAACRWWAEAAAAALorACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JJ4SzCuKN/ouZKbZ2OXgSvMODytsUsAAADALxArrAAAAAAAl0RgBQAAAAC4JAIrAAAAAMAlEVgBAAAAAC6JwAoAAAAAcEkE1t+QZcuWyc/Pr7HLAAAAAIAGcanAOnLkSFksFs2ZM8ep/4MPPpDFYtGaNWvUpEkTHT16tNb9IyIiNH78eElSXFycLBaLLBaLPDw8FBISoiFDhmjt2rUNrmfNmjWKi4uTr6+vvL291a1bN82YMUOFhYXav3+/LBaLduzY4bRP37595enpqbKyMrOvrKxMnp6eWrx4sdN5/rglJiZesKYjR44oKSlJwcHBatasmTp06KAnnnhCx48fdxrXsWNHvfLKKw0+VwAAAABwNS4VWCXJ09NTc+fO1YkTJ2psu+WWW9S6dWstX768xratW7cqNzdXo0aNMvseeugh5efn69ChQ1qzZo2io6M1bNgwjRkz5oJ1PP3007r77rvVq1cvffLJJ9q7d6/mz5+vf/7zn3r77bcVFRWlwMBApaenm/uUlJQoKytLAQEBTkE2IyND5eXl+t3vfmf2JSYmKj8/36mtWLGi3pq++eYbXXfddTp48KBWrFih3Nxcvf7669q8ebP69eunwsLCC57Xz6GysrJRjgsAAADg183lAmt8fLwCAwM1e/bsGtuaNm2q++67T8uWLauxbcmSJerTp4+6du1q9nl5eSkwMFDt2rVT3759NXfuXL3xxhtatGiRNm3aVGcNO3fu1KxZszR//nzNmzdP/fv3V8eOHTVo0CCtWbNGDzzwgCTJbrc7BdZt27YpMjJSQ4YMcepPT09Xhw4dFBoaavZ5eHgoMDDQqbVq1are7yY5OVnNmjXTP/7xD9lsNrVv31433nijNm3apKNHj+rpp5+WdG51+bvvvtO4cePM1dsf2rBhg7p06SJvb28zOP/Qm2++qS5dusjT01NRUVFauHChuS0vL08Wi0WrVq2SzWaTp6en3nnnnXrrBgAAAICfwuUCa5MmTTRr1iwtWLBA33//fY3to0aN0sGDB7V161az79SpU1q9erXT6mpdHnjgAbVq1areW4PfeecdeXt7a+zYsbVuP/8cqN1u17Zt21RVVSVJcjgciouLk81mk8PhMMc7HA7Z7fYL1lafwsJCbdiwQWPHjlXz5s2dtgUGBmrEiBFatWqVDMPQ2rVr1a5dO82YMcNcvT3v9OnTeumll/T2229r69atOnz4sCZOnOh07s8++6xmzpypnJwczZo1S9OmTauxqj158mQ98cQTysnJUUJCQo16y8vLVVxc7NQAAAAA4GK4XGCVpNtuu009evTQc889V2NbdHS0+vbtqyVLlph97733ngzD0LBhwy44t5ubmyIjI5WXl1fnmIMHDyosLExNmzatdy673a7S0lLt2rVL0rmVVJvNptjYWGVmZqqsrExnzpzRzp07awTWjz76SN7e3k5t1qxZ9dZkGIa6dOlS6/YuXbroxIkT+u9//yt/f381adJELVu2NFdvz6usrNTrr7+u6667Ttdee60effRRbd682dz+3HPPaf78+br99tsVGhqq22+/XePGjdMbb7zhdLwnn3zSHBMUFFSjntmzZ8vX19dsVqu13u8SAAAAAH7MJQOrJM2dO1fLly9XTk5OjW1JSUlavXq1SkpKJJ27HXjo0KFq2bJlg+Y2DMO8TfbGG280A+P524kNw2jQPOHh4WrXrp3S09NVXFysL774QjabTUFBQWrfvr0yMjLM51d/HFjtdruys7Od2iOPPCJJeuSRR5yC7I9rvxReXl7q1KmT+TkoKEjHjh2TJJWWlurQoUMaNWqU0/H/9Kc/6dChQ07zXHfddfUeZ8qUKSoqKjLbkSNHLqluAAAAAL897o1dQF1iY2OVkJCgKVOmaOTIkU7bhg0bpnHjxum9995TbGystm/fXuszr7Wprq7WwYMH1atXL0nnntc8c+aMJJkrqpGRkdq2bZsqKysvuMoaFxcnh8Ohbt26KSIiQm3atJEk87ZgwzAUHh5eY4WxRYsWCg8Pr3XOGTNmON2mK50LxxaLRTk5Obrttttq7JOTk6NWrVopICCg3np/fD4Wi8UMwadOnZIkLVq0SH369HEa16RJkxr118fDw0MeHh71jgEAAACA+rhsYJWkOXPmqEePHurcubNTf8uWLTV06FAtWbJEhw4dUmRkpK6//voGzbl8+XKdOHFCd9xxhyQpJCSkxph77rlHr732mhYuXKgnnniixvaTJ086Pcf6+OOPKzo6WnFxceaY2NhYLVq0SIZhXPTzq23atDGD73mtW7fWoEGDtHDhQo0bN87pOdaCggK98847uv/++82V42bNmqm6uvqijtu2bVsFBwfrm2++0YgRIy5qXwAAAAC43Fw6sMbExGjEiBF67bXXamwbNWqUrr/+euXk5Oipp56qdf/Tp0+roKBAVVVV+v7777Vu3Tr97//+r/7whz/UGyL79OmjP/7xj5owYYKOHj2q2267TcHBwebPyAwcONAMsuefY12yZIkWLVpkzmGz2TR69GhJqvXlTeXl5SooKHDqc3d311VXXVVnXX/+85/Vv39/JSQk6E9/+pNCQ0P1r3/9S5MmTVJISIhmzpxpju3YsaO2bt2qYcOGycPDo955f+j555/X448/Ll9fXyUmJqq8vFy7d+/WiRMnzN+4BQAAAIArwWWfYT1vxowZOnv2bI3+gQMHqnPnziouLtb9999f676LFi1SUFCQOnXqpNtvv1379u3TqlWrnH6mpS5z587Vu+++q8zMTCUkJKhr164aP368unXrZv6sjSSFhoaqQ4cOKikpkc1mM/vbt2+v4OBgVVRUOK28npeWlqagoCCnNnDgwHprioiI0O7duxUWFqa77rpLnTp10pgxY2S325WRkSF/f39z7IwZM5SXl6dOnTpd8DbhHxo9erTefPNNLV26VDExMbLZbFq2bJnTT/IAAAAAwJVgMS71LT5AAxQXF8vX11cKmSq5eTZ2ObjCjMPTGrsEAAAAuIjz2aCoqEg+Pj71jnX5FVYAAAAAwG8TgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JJf+WRv8+hTte+qCD1YDAAAAgMQKKwAAAADARRFYAQAAAAAuicAKAAAAAHBJBFYAAAAAgEsisAIAAAAAXBJvCcYV5Rs9V3LzbOwy8AtlHJ7W2CUAAADgCmKFFQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQTWn0FBQYEee+wxhYWFycPDQ1arVUOGDNHmzZs1bNgwJSYmOo1PS0uTxWLR9OnTnfqnT5+u9u3bS5Ly8vJksVhqbTt27Kizln/961+644471LFjR1ksFr3yyis1xsyePVu9evVSy5Yt1aZNG9166606cOCA05i4uLgax33kkUd+2hcEAAAAAA1AYL3M8vLy1LNnT3366aeaN2+evvrqK6Wlpclutys5OVl2u13bt29XVVWVuY/D4ZDValV6errTXA6HQ3a73alv06ZNys/Pd2o9e/ass57Tp08rLCxMc+bMUWBgYK1jtmzZouTkZO3YsUMbN25UZWWlBg8erNLSUqdxDz30kNNxX3zxxYv8dgAAAACg4dwbu4Bfm7Fjx8pisWjnzp1q0aKF2d+1a1clJSXp2LFjOnXqlHbv3q2+fftKktLT0zV58mRNmDBBZWVl8vT0VFlZmTIzM/Xggw86zd+6des6g2dtevXqpV69ekmSJk+eXOuYtLQ0p8/Lli1TmzZttGfPHsXGxpr9Xl5eF3VsAAAAALgUrLBeRoWFhUpLS1NycrJTWD3Pz89PkZGRCg4OlsPhkCSVlJQoKytLQ4cOVceOHZWRkSFJ+vzzz1VeXl5jhfVKKCoqkiT5+/s79b/zzju66qqrdPXVV2vKlCk6ffp0nXOUl5eruLjYqQEAAADAxSCwXka5ubkyDENRUVH1jrPb7ebtv5999pkiIyMVEBCg2NhYsz89PV2hoaHq0KGD0779+/eXt7e3U7uczp49qyeffFIDBgzQ1Vdfbfbfc889+utf/yqHw6EpU6bo7bff1r333lvnPLNnz5avr6/ZrFbrZa0TAAAAwK8ftwRfRoZhNGhcXFycnnzySVVWVio9PV1xcXGSJJvNpjfeeEPSucBa2+rqqlWr1KVLlxr9hw8fVnR0tPl56tSpmjp16kWfQ3Jysvbu3att27Y59Y8ZM8b8d0xMjIKCgnTDDTfo0KFD6tSpU415pkyZovHjx5ufi4uLCa0AAAAALgqB9TKKiIiQxWLR/v376x1nt9tVWlqqXbt2yeFwaNKkSZLOBdakpCQVFhYqMzNTDz/8cI19rVarwsPDa/QHBwcrOzvb/Pzj23kb4tFHH9VHH32krVu3ql27dvWO7dOnj6Rzq8q1BVYPDw95eHhcdA0AAAAAcB63BF9G/v7+SkhIUEpKSo037ErSyZMnJUmdOnWS1WrV+vXrlZ2dLZvNJkkKCQlRSEiI5s+fr4qKiot6ftXd3V3h4eFmu5jAahiGHn30Ua1bt06ffvqpQkNDL7jP+XAcFBTU4OMAAAAAwMVghfUyS0lJ0YABA9S7d2/NmDFD3bp1U1VVlTZu3KjU1FTl5ORIOrfKunDhQoWHh6tt27bm/jabTQsWLDBfzvRjx48fV0FBgVOfn5+fPD09a62noqJC+/btM/999OhRZWdny9vb21ypTU5O1rvvvqsPP/xQLVu2NOf39fVV8+bNdejQIb377ru66aab1Lp1a3355ZcaN26cYmNj1a1bt0v/0gAAAACgFqywXmZhYWHKysqS3W7XhAkTdPXVV2vQoEHavHmzUlNTzXF2u10lJSXm86vn2Ww2lZSU1Lm6Gh8fr6CgIKf2wQcf1FnPv//9b11zzTW65pprlJ+fr5deeknXXHONRo8ebY5JTU1VUVGR4uLinOZdtWqVJKlZs2batGmTBg8erKioKE2YMEF33HGH/va3v/30LwoAAAAALsBiNPRNQcAlKC4ulq+vrxQyVXKrfTUYuBDj8LTGLgEAAACX6Hw2KCoqko+PT71jWWEFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSfysDa6oon1PXfDBagAAAACQWGEFAAAAALgoAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBL4i3BuKJ8o+dKbp6NXQbwszMOT2vsEgAAAH7xWGEFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgfVnUFBQoMcee0xhYWHy8PCQ1WrVkCFDtHnzZg0bNkyJiYlO49PS0mSxWDR9+nSn/unTp6t9+/aSpLy8PFksllrbjh076qxl7dq1uu666+Tn56cWLVqoR48eevvtt53GjBw5ssacP6wxLy9Po0aNUmhoqJo3b65OnTrpueeeU0VFxSV+UwAAAABQN36H9TLLy8vTgAED5Ofnp3nz5ikmJkaVlZXasGGDkpOTNW7cOE2cOFFVVVVydz/39TscDlmtVqWnpzvN5XA4ZLfbnfo2bdqkrl27OvW1bt26znr8/f319NNPKyoqSs2aNdNHH32kBx98UG3atFFCQoI5LjExUUuXLjU/e3h4mP/ev3+/zp49qzfeeEPh4eHau3evHnroIZWWluqll1666O8IAAAAABqCwHqZjR07VhaLRTt37lSLFi3M/q5duyopKUnHjh3TqVOntHv3bvXt21eSlJ6ersmTJ2vChAkqKyuTp6enysrKlJmZqQcffNBp/tatWyswMLDB9cTFxTl9fuKJJ7R8+XJt27bNKbB6eHjUOW9iYqLTimtYWJgOHDig1NRUAisAAACAnw23BF9GhYWFSktLU3JyslNYPc/Pz0+RkZEKDg6Ww+GQJJWUlCgrK0tDhw5Vx44dlZGRIUn6/PPPVV5eXmOF9VIYhqHNmzfrwIEDio2NddqWnp6uNm3aqHPnzvrDH/6g48eP1ztXUVGR/P3969xeXl6u4uJipwYAAAAAF4PAehnl5ubKMAxFRUXVO85ut5u3/3722WeKjIxUQECAYmNjzf709HSFhoaqQ4cOTvv2799f3t7eTu1CioqK5O3trWbNmunmm2/WggULNGjQIHN7YmKi3nrrLW3evFlz587Vli1bdOONN6q6urrO81ywYIEefvjhOo85e/Zs+fr6ms1qtV6wTgAAAAD4IW4JvowMw2jQuLi4OD355JOqrKxUenq6eduuzWbTG2+8IelcYK1tdXXVqlXq0qVLjf7Dhw8rOjra/Dx16lRNnTpVktSyZUtlZ2fr1KlT2rx5s8aPH6+wsDDzuMOGDTP3i4mJUbdu3dSpUyelp6frhhtucDrO0aNHlZiYqKFDh+qhhx6q8xynTJmi8ePHm5+Li4sJrQAAAAAuCoH1MoqIiJDFYtH+/fvrHWe321VaWqpdu3bJ4XBo0qRJks4F1qSkJBUWFiozM7PWFUyr1arw8PAa/cHBwcrOzjY///B2XTc3N3OfHj16KCcnR7Nnz67xfOt5YWFhuuqqq5Sbm+sUWP/973/Lbrerf//++stf/lLvOXp4eDi9uAkAAAAALha3BF9G/v7+SkhIUEpKikpLS2tsP3nypCSpU6dOslqtWr9+vbKzs2Wz2SRJISEhCgkJ0fz581VRUXFRz6+6u7srPDzcbPU9X3r27FmVl5fXuf3777/X8ePHFRQUZPYdPXpUcXFx6tmzp5YuXSo3Ny4dAAAAAD8vVlgvs5SUFA0YMEC9e/fWjBkz1K1bN1VVVWnjxo1KTU1VTk6OpHOrrAsXLlR4eLjatm1r7m+z2bRgwQLz5Uw/dvz4cRUUFDj1+fn5ydPTs9Z6Zs+ereuuu06dOnVSeXm5Pv74Y7399ttKTU2VJJ06dUrPP/+87rjjDgUGBurQoUP64x//qPDwcPMtwufDaocOHfTSSy/pv//9rzn/xbyxGAAAAAAuBoH1MgsLC1NWVpZmzpypCRMmKD8/XwEBAerZs6cZEqVzgfWtt96qcVuuzWbT0qVLdc8999Q6f3x8fI2+FStWOD2H+kOlpaUaO3asvv/+ezVv3lxRUVH661//qrvvvluS1KRJE3355Zdavny5Tp48qeDgYA0ePFgvvPCCeUvvxo0blZubq9zcXLVr185p/oY+twsAAAAAF8tikDhwBRQXF8vX11cKmSq51b4aDPyaGIenNXYJAAAALul8NigqKpKPj0+9Y3kQEQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALomftcEVVbTvqQu+CQwAAAAAJFZYAQAAAAAuisAKAAAAAHBJBFYAAAAAgEsisAIAAAAAXBIvXcIV5Rs9V3LzbOwyAOCyMA5Pa+wSAAD4VWOFFQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrD+DAoKCvTYY48pLCxMHh4eslqtGjJkiDZv3qxhw4YpMTHRaXxaWposFoumT5/u1D99+nS1b99ekpSXlyeLxVJr27FjR521xMXF1brPzTffbI45deqUHn30UbVr107NmzdXdHS0Xn/9dXN7fcd+//33L8M3BgAAAAA1uTd2Ab82eXl5GjBggPz8/DRv3jzFxMSosrJSGzZsUHJyssaNG6eJEyeqqqpK7u7nvn6HwyGr1ar09HSnuRwOh+x2u1Pfpk2b1LVrV6e+1q1b11nP2rVrVVFRYX4+fvy4unfvrqFDh5p948eP16effqq//vWv6tixo/7xj39o7NixCg4O1i233CKr1ar8/Hynef/yl79o3rx5uvHGGy/q+wEAAACAhiKwXmZjx46VxWLRzp071aJFC7O/a9euSkpK0rFjx3Tq1Cnt3r1bffv2lSSlp6dr8uTJmjBhgsrKyuTp6amysjJlZmbqwQcfdJq/devWCgwMbHA9/v7+Tp9XrlwpLy8vp8D6+eef64EHHlBcXJwkacyYMXrjjTe0c+dO3XLLLWrSpEmNY65bt0533XWXvL29G1wLAAAAAFwMbgm+jAoLC5WWlqbk5GSnsHqen5+fIiMjFRwcLIfDIUkqKSlRVlaWhg4dqo4dOyojI0PSuRBZXl5eY4X1Ui1evFjDhg1zqq9///5av369jh49KsMw5HA49PXXX2vw4MG1zrFnzx5lZ2dr1KhRdR6nvLxcxcXFTg0AAAAALgaB9TLKzc2VYRiKioqqd5zdbjdv//3ss88UGRmpgIAAxcbGmv3p6ekKDQ1Vhw4dnPbt37+/vL29nVpD7dy5U3v37tXo0aOd+hcsWKDo6Gi1a9dOzZo1U2JiolJSUhQbG1vrPIsXL1aXLl3Uv3//Oo81e/Zs+fr6ms1qtTa4TgAAAACQCKyXlWEYDRoXFxen7du3q7KyUunp6eatuDabzSmw1ra6umrVKmVnZzs1STp8+LBTiJ01a1aNfRcvXqyYmBj17t3bqX/BggXasWOH1q9frz179mj+/PlKTk7Wpk2basxx5swZvfvuu/WurkrSlClTVFRUZLYjR4404JsBAAAAgP/DM6yXUUREhCwWi/bv31/vOLvdrtLSUu3atUsOh0OTJk2SdC6wJiUlqbCwUJmZmXr44Ydr7Gu1WhUeHl6jPzg42AyvUs1nV0tLS7Vy5UrNmDHDqf/MmTOaOnWq1q1bZ745uFu3bsrOztZLL72k+Ph4p/GrV6/W6dOndf/999d7jh4eHvLw8Kh3DAAAAADUhxXWy8jf318JCQlKSUlRaWlpje0nT56UJHXq1ElWq1Xr169Xdna2bDabJCkkJEQhISGaP3++KioqLur5VXd3d4WHh5vtx4H1/fffV3l5ue69916n/srKSlVWVsrNzflSaNKkic6ePVvjOIsXL9Ytt9yigICABtcGAAAAAD8FK6yXWUpKigYMGKDevXtrxowZ6tatm6qqqrRx40alpqYqJydH0rlV1oULFyo8PFxt27Y197fZbFqwYIH5cqYfO378uAoKCpz6/Pz85OnpWW9dixcv1q233lrjJ3B8fHxks9k0adIkNW/eXB06dNCWLVv01ltv6eWXX3Yam5ubq61bt+rjjz++qO8EAAAAAH4KVlgvs7CwMGVlZclut2vChAm6+uqrNWjQIG3evFmpqanmOLvdrpKSEvP51fNsNptKSkrqXF2Nj49XUFCQU/vggw/qrenAgQPatm1bnc+drly5Ur169dKIESMUHR2tOXPmaObMmXrkkUecxi1ZskTt2rWr8+3BAAAAAHA5WYyGvikIuATFxcXy9fWVQqZKbvWvBgPAL4VxeFpjlwAAwC/O+WxQVFQkHx+feseywgoAAAAAcEkEVgAAAACASyKwAgAAAABcEoEVAAAAAOCS+FkbXFFF+5664IPVAAAAACCxwgoAAAAAcFEEVgAAAACASyKwAgAAAABcEoEVAAAAAOCSeOkSrijf6LmSm2djlwEAjc44PK2xSwAAwOWxwgoAAAAAcEkEVgAAAACASyKwAgAAAABcEoEVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYG0FBQYEee+wxhYWFycPDQ1arVUOGDNHmzZs1bNgwJSYmOo1PS0uTxWLR9OnTnfqnT5+u9u3bS5Ly8vJksVhqbTt27Ki3nldeeUWdO3dW8+bNZbVaNW7cOJWVlZnbS0pK9OSTT6pDhw5q3ry5+vfvr127dl2eLwMAAAAA6uDe2AX81uTl5WnAgAHy8/PTvHnzFBMTo8rKSm3YsEHJyckaN26cJk6cqKqqKrm7n/vP43A4ZLValZ6e7jSXw+GQ3W536tu0aZO6du3q1Ne6des663n33Xc1efJkLVmyRP3799fXX3+tkSNHymKx6OWXX5YkjR49Wnv37tXbb7+t4OBg/fWvf1V8fLz27dunkJCQy/CtAAAAAEBNBNYrbOzYsbJYLNq5c6datGhh9nft2lVJSUk6duyYTp06pd27d6tv376SpPT0dE2ePFkTJkxQWVmZPD09VVZWpszMTD344INO87du3VqBgYENrufzzz/XgAEDdM8990iSOnbsqOHDhyszM1OSdObMGa1Zs0YffvihYmNjJZ1b2f3b3/6m1NRU/elPf7qk7wMAAAAA6sItwVdQYWGh0tLSlJyc7BRWz/Pz81NkZKSCg4PlcDgknbsdNysrS0OHDlXHjh2VkZEh6VzQLC8vr7HCerH69++vPXv2aOfOnZKkb775Rh9//LFuuukmSVJVVZWqq6vl6enptF/z5s21bdu2OuctLy9XcXGxUwMAAACAi0FgvYJyc3NlGIaioqLqHWe3283bfz/77DNFRkYqICBAsbGxZn96erpCQ0PVoUMHp3379+8vb29vp1afe+65RzNmzNDAgQPVtGlTderUSXFxcZo6daokqWXLlurXr59eeOEF/fvf/1Z1dbX++te/KiMjQ/n5+XXOO3v2bPn6+prNarVe4NsBAAAAAGcE1ivIMIwGjYuLi9P27dtVWVmp9PR0xcXFSZJsNptTYK1tdXXVqlXKzs52apJ0+PBhpxA7a9Ysc55Zs2Zp4cKFysrK0tq1a/X3v/9dL7zwgjnn22+/LcMwFBISIg8PD7322msaPny43NzqvnymTJmioqIisx05cqRB5w4AAAAA5/EM6xUUEREhi8Wi/fv31zvObrertLRUu3btksPh0KRJkySdC6xJSUkqLCxUZmamHn744Rr7Wq1WhYeH1+gPDg42w6sk+fv7S5KmTZum++67T6NHj5YkxcTEqLS0VGPGjNHTTz8tNzc3derUSVu2bFFpaamKi4sVFBSku+++W2FhYXWeg4eHhzw8PC74nQAAAABAXVhhvYL8/f2VkJCglJQUlZaW1th+8uRJSVKnTp1ktVq1fv16ZWdny2azSZJCQkIUEhKi+fPnq6Ki4qKeX3V3d1d4eLjZzgfW06dP11gpbdKkiaSaK8ItWrRQUFCQTpw4oQ0bNuj3v/99g48PAAAAABeLFdYrLCUlRQMGDFDv3r01Y8YMdevWTVVVVdq4caNSU1OVk5Mj6dwq68KFCxUeHq62bdua+9tsNi1YsMB8OdOPHT9+XAUFBU59fn5+NV6adN6QIUP08ssv65prrlGfPn2Um5uradOmaciQIWZw3bBhgwzDUOfOnZWbm6tJkyYpKiqqxhuKAQAAAOByIrBeYWFhYcrKytLMmTM1YcIE5efnKyAgQD179lRqaqo5zm6366233jKfXz3PZrNp6dKl5s/Q/Fh8fHyNvhUrVmjYsGG1jn/mmWdksVj0zDPP6OjRowoICNCQIUM0c+ZMc0xRUZGmTJmi77//Xv7+/rrjjjs0c+ZMNW3a9Cd8AwAAAADQMBajoW8CAi5BcXGxfH19pZCpklvtq70A8FtiHJ7W2CUAANAozmeDoqIi+fj41DuWZ1gBAAAAAC6JwAoAAAAAcEkEVgAAAACASyKwAgAAAABcEm8JxhVVtO+pCz5YDQAAAAASK6wAAAAAABdFYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJvCUYV5Rv9FzJzbOxywAAAL8yxuFpjV0CgJ8BK6wAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJBNb/X1xcnJ588slLnmfkyJG69dZbL3keAAAAAPit+1UH1pEjR8piseiRRx6psS05OVkWi0UjR46UJK1du1YvvPDCJR/z1Vdf1bJlyy55nothsVjM1qJFC0VERGjkyJHas2fPRc91uYI7AAAAAFyqX3VglSSr1aqVK1fqzJkzZl9ZWZneffddtW/f3uzz9/dXy5YtL/l4vr6+8vPzu+R5LtbSpUuVn5+vf/3rX0pJSdGpU6fUp08fvfXWW1e8FgAAAAC4HH71gfXaa6+V1WrV2rVrzb61a9eqffv2uuaaa8y+H68sLly4UBEREfL09FTbtm115513mttWr16tmJgYNW/eXK1bt1Z8fLxKS0sl1bwlOC4uTo8//rj++Mc/yt/fX4GBgZo+fbpTjfv379fAgQPl6emp6Ohobdq0SRaLRR988EGDz9PPz0+BgYHq2LGjBg8erNWrV2vEiBF69NFHdeLECUnS8ePHNXz4cIWEhMjLy0sxMTFasWKFOcfIkSO1ZcsWvfrqq+aKbV5enqqrqzVq1CiFhoaqefPm6ty5s1599dUG1wYAAAAAP8WvPrBKUlJSkpYuXWp+XrJkiR588ME6x+/evVuPP/64ZsyYoQMHDigtLU2xsbGSpPz8fA0fPlxJSUnKyclRenq6br/9dhmGUed8y5cvV4sWLZSZmakXX3xRM2bM0MaNGyVJ1dXVuvXWW+Xl5aXMzEz95S9/0dNPP31ZznvcuHEqKSkxj1VWVqaePXvq73//u/bu3asxY8bovvvu086dOyWdu525X79+euihh5Sfn6/8/HxZrVadPXtW7dq10/vvv699+/bp2Wef1dSpU/Xee+/Veezy8nIVFxc7NQAAAAC4GO6NXcCVcO+992rKlCn67rvvJEnbt2/XypUrlZ6eXuv4w4cPq0WLFvqf//kftWzZUh06dDBXY/Pz81VVVaXbb79dHTp0kCTFxMTUe/xu3brpueeekyRFREToz3/+szZv3qxBgwZp48aNOnTokNLT0xUYGChJmjlzpgYNGnTJ5x0VFSVJysvLkySFhIRo4sSJ5vbHHntMGzZs0HvvvafevXvL19dXzZo1k5eXl1mLJDVp0kTPP/+8+Tk0NFQZGRl67733dNddd9V67NmzZzvtAwAAAAAX6zcRWAMCAnTzzTdr2bJlMgxDN998s6666qo6xw8aNEgdOnRQWFiYEhMTlZiYqNtuu01eXl7q3r27brjhBsXExCghIUGDBw/WnXfeqVatWtU5X7du3Zw+BwUF6dixY5KkAwcOyGq1OgXE3r17X+IZn3N+1ddisUg6t5o7a9Ysvffeezp69KgqKipUXl4uLy+vC86VkpKiJUuW6PDhwzpz5owqKirUo0ePOsdPmTJF48ePNz8XFxfLarVe2gkBAAAA+E35TdwSLJ27LXjZsmVavny5kpKS6h3bsmVLZWVlacWKFQoKCtKzzz6r7t276+TJk2rSpIk2btyoTz75RNHR0VqwYIE6d+6sb7/9ts75mjZt6vTZYrHo7Nmzl+W86pOTkyPp3IqoJM2bN0+vvvqqnnrqKTkcDmVnZyshIUEVFRX1zrNy5UpNnDhRo0aN0j/+8Q9lZ2frwQcfrHc/Dw8P+fj4ODUAAAAAuBi/mcCamJioiooKVVZWKiEh4YLj3d3dFR8frxdffFFffvml8vLy9Omnn0o6FzgHDBig559/Xl988YWaNWumdevW/aS6OnfurCNHjug///mP2bdr166fNNePvfLKK/Lx8VF8fLykc7dC//73v9e9996r7t27KywsTF9//bXTPs2aNVN1dbVT3/bt29W/f3+NHTtW11xzjcLDw3Xo0KHLUiMAAAAA1OU3cUuwdO45zPMrjk2aNKl37EcffaRvvvlGsbGxatWqlT7++GOdPXtWnTt3VmZmpjZv3qzBgwerTZs2yszM1H//+1916dLlJ9U1aNAgderUSQ888IBefPFFlZSU6JlnnpH0f7fyNsTJkydVUFCg8vJyff3113rjjTf0wQcf6K233jJ/ZiciIkKrV6/W559/rlatWunll1/Wf/7zH0VHR5vzdOzYUZmZmcrLy5O3t7f8/f0VERGht956Sxs2bFBoaKjefvtt7dq1y1y5BQAAAICfw29mhVVSg29N9fPz09q1a/W73/1OXbp00euvv64VK1aoa9eu8vHx0datW3XTTTcpMjJSzzzzjObPn68bb7zxJ9XUpEkTffDBBzp16pR69eql0aNHm28J9vT0bPA8Dz74oIKCghQVFaU//OEP8vb21s6dO3XPPfeYY5555hlde+21SkhIUFxcnAIDA51+gkeSJk6cqCZNmig6OloBAQE6fPiwHn74Yd1+++26++671adPHx0/flxjx479SecLAAAAAA1lMer7PRY0iu3bt2vgwIHKzc1Vp06dGrucy6K4uFi+vr5SyFTJreFBHAAAoCGMw9MauwQADXQ+GxQVFV1wQfE3c0uwK1u3bp28vb0VERGh3NxcPfHEExowYMCvJqwCAAAAwE/xm7ol2FWVlJQoOTlZUVFRGjlypHr16qUPP/xQkjRr1ix5e3vX2n7qbcgAAAAA8EvALcEurrCwUIWFhbVua968uUJCQq5wRT8NtwQDAICfE7cEA78c3BL8K+Lv7y9/f//GLgMAAAAArjgCK66oon1PNehNzQAAAADAM6wAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJvCUYV5Rv9Fx+hxUAAAAugd/vdX2ssAIAAAAAXBKBFQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWH/lOnbsqFdeeeWi9tm+fbtiYmLUtGlT3XrrrT9LXQAAAABwIY0aWEeOHCmLxaI5c+Y49X/wwQeyWCxas2aNmjRpoqNHj9a6f0REhMaPHy9JiouLk8VikcVikYeHh0JCQjRkyBCtXbu2wfWsWbNGcXFx8vX1lbe3t7p166YZM2aosLBQ+/fvl8Vi0Y4dO5z26du3rzw9PVVWVmb2lZWVydPTU4sXL3Y6zx+3xMTEBtf2U+3atUtjxoy5qH3Gjx+vHj166Ntvv9WyZct+nsIAAAAA4AIafYXV09NTc+fO1YkTJ2psu+WWW9S6dWstX768xratW7cqNzdXo0aNMvseeugh5efn69ChQ1qzZo2io6M1bNiwBgW2p59+Wnfffbd69eqlTz75RHv37tX8+fP1z3/+U2+//baioqIUGBio9PR0c5+SkhJlZWUpICDAKchmZGSovLxcv/vd78y+xMRE5efnO7UVK1Y09Gv6yQICAuTl5XVR+xw6dEi/+93v1K5dO/n5+f08hQEAAADABTR6YI2Pj1dgYKBmz55dY1vTpk1133331brKt2TJEvXp00ddu3Y1+7y8vBQYGKh27dqpb9++mjt3rt544w0tWrRImzZtqrOGnTt3atasWZo/f77mzZun/v37q2PHjho0aJDWrFmjBx54QJJkt9udAuu2bdsUGRmpIUOGOPWnp6erQ4cOCg0NNfs8PDwUGBjo1Fq1alVnTXl5ebJYLFq7dq3sdru8vLzUvXt3ZWRkOI1bs2aNunbtKg8PD3Xs2FHz58932v7jW4ItFovefPNN3XbbbfLy8lJERITWr1/vdMzjx48rKSlJFovF/O63bNmi3r17y8PDQ0FBQZo8ebKqqqrqrB8AAAAALlWjB9YmTZpo1qxZWrBggb7//vsa20eNGqWDBw9q69atZt+pU6e0evVqp9XVujzwwANq1apVvbcGv/POO/L29tbYsWNr3X5+ldFut2vbtm1mUHM4HIqLi5PNZpPD4TDHOxwO2e32C9bWEE8//bQmTpyo7OxsRUZGavjw4ebx9+zZo7vuukvDhg3TV199penTp2vatGkXvI33+eef11133aUvv/xSN910k0aMGKHCwkJZrVbl5+fLx8dHr7zyivLz83X33Xfr6NGjuummm9SrVy/985//VGpqqhYvXqw//elPdR6jvLxcxcXFTg0AAAAALkajB1ZJuu2229SjRw8999xzNbZFR0erb9++WrJkidn33nvvyTAMDRs27IJzu7m5KTIyUnl5eXWOOXjwoMLCwtS0adN657Lb7SotLdWuXbsknVtJtdlsio2NVWZmpsrKynTmzBnt3LmzRmD96KOP5O3t7dRmzZp1wfonTpyom2++WZGRkXr++ef13XffKTc3V5L08ssv64YbbtC0adMUGRmpkSNH6tFHH9W8efPqnXPkyJEaPny4wsPDNWvWLJ06dUo7d+5UkyZNFBgYKIvFIl9fXwUGBqp58+ZauHChrFar/vznPysqKkq33nqrnn/+ec2fP19nz56t9RizZ8+Wr6+v2axW6wXPFQAAAAB+yCUCqyTNnTtXy5cvV05OTo1tSUlJWr16tUpKSiSdux146NChatmyZYPmNgxDFotFknTjjTeagfH87cSGYTRonvDwcLVr107p6ekqLi7WF198IZvNpqCgILVv314ZGRnm86s/Dqx2u13Z2dlO7ZFHHpEkPfLII05B9oe6detm/jsoKEiSdOzYMUlSTk6OBgwY4DR+wIABOnjwoKqrq+s8jx/O2aJFC/n4+Jhz1iYnJ0f9+vUzv8Pzxzl16lStq+KSNGXKFBUVFZntyJEjdc4PAAAAALVxb+wCzouNjVVCQoKmTJmikSNHOm0bNmyYxo0bp/fee0+xsbHavn17rc+81qa6uloHDx5Ur169JElvvvmmzpw5I0nmimpkZKS2bdumysrKC66yxsXFyeFwqFu3boqIiFCbNm0kybwt2DAMhYeH11hRbNGihcLDw2udc8aMGZo4cWKt235Yz/nAWNeqZkP9+BwtFsslz/ljHh4e8vDwuKxzAgAAAPhtcZnAKklz5sxRjx491LlzZ6f+li1baujQoVqyZIkOHTqkyMhIXX/99Q2ac/ny5Tpx4oTuuOMOSVJISEiNMffcc49ee+01LVy4UE888USN7SdPnnR6jvXxxx9XdHS04uLizDGxsbFatGiRDMO46OdX27RpYwbfi9GlSxdt377dqW/79u2KjIxUkyZNLnq++o6zZs0ap5Xq7du3q2XLlmrXrt1lOw4AAAAA/JBLBdaYmBiNGDFCr732Wo1to0aN0vXXX6+cnBw99dRTte5/+vRpFRQUqKqqSt9//73WrVun//3f/9Uf/vCHekNknz599Mc//lETJkzQ0aNHddtttyk4OFi5ubl6/fXXNXDgQDPInn+OdcmSJVq0aJE5h81m0+jRoyWp1pc3lZeXq6CgwKnP3d1dV1111YW/mDpMmDBBvXr10gsvvKC7775bGRkZ+vOf/6yFCxf+5DlrM3bsWL3yyit67LHH9Oijj+rAgQN67rnnNH78eLm5ucxd5QAAAAB+ZVwubcyYMaPW21MHDhyozp07q7i4WPfff3+t+y5atEhBQUHq1KmTbr/9du3bt0+rVq1qUICbO3eu3n33XWVmZiohIUFdu3bV+PHj1a1bN/NnbSQpNDRUHTp0UElJiWw2m9nfvn17BQcHq6Kiwmnl9by0tDQFBQU5tYEDBzbgG6nbtddeq/fee08rV67U1VdfrWeffVYzZsyocUv1pQoJCdHHH3+snTt3qnv37nrkkUc0atQoPfPMM5f1OAAAAADwQxajoW8cAi5BcXGxfH19pZCpkptnY5cDAAAAyDg8rbFL+E06nw2Kiork4+NT71iXW2EFAAAAAEAisAIAAAAAXBSBFQAAAADgkgisAAAAAACX5FI/a4Nfv6J9T13wwWoAAAAAkFhhBQAAAAC4KAIrAAAAAMAlEVgBAAAAAC6JwAoAAAAAcEkEVgAAAACAS+ItwbiifKPnSm6ejV0GAAAA8JthHJ7W2CX8ZKywAgAAAABcEoEVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJBNZGUlBQoMcee0xhYWHy8PCQ1WrVkCFDtHnzZg0bNkyJiYlO49PS0mSxWDR9+nSn/unTp6t9+/aSpLy8PFksllrbjh076qwlLi6u1n1uvvlmc8x//vMfjRw5UsHBwfLy8lJiYqIOHjx4+b4QAAAAAPgR98Yu4LcoLy9PAwYMkJ+fn+bNm6eYmBhVVlZqw4YNSk5O1rhx4zRx4kRVVVXJ3f3cfyKHwyGr1ar09HSnuRwOh+x2u1Pfpk2b1LVrV6e+1q1b11nP2rVrVVFRYX4+fvy4unfvrqFDh0qSDMPQrbfeqqZNm+rDDz+Uj4+PXn75ZcXHx2vfvn1q0aLFpXwdAAAAAFArAmsjGDt2rCwWi3bu3OkU9rp27aqkpCQdO3ZMp06d0u7du9W3b19JUnp6uiZPnqwJEyaorKxMnp6eKisrU2Zmph588EGn+Vu3bq3AwMAG1+Pv7+/0eeXKlfLy8jID68GDB7Vjxw7t3bvXDMKpqakKDAzUihUrNHr06BpzlpeXq7y83PxcXFzc4HoAAAAAQOKW4CuusLBQaWlpSk5OrnVl0s/PT5GRkQoODpbD4ZAklZSUKCsrS0OHDlXHjh2VkZEhSfr8889VXl5eY4X1Ui1evFjDhg0z6zsfPD09Pc0xbm5u8vDw0LZt22qdY/bs2fL19TWb1Wq9rDUCAAAA+PUjsF5hubm5MgxDUVFR9Y6z2+3m7b+fffaZIiMjFRAQoNjYWLM/PT1doaGh6tChg9O+/fv3l7e3t1NrqJ07d2rv3r1Oq6ZRUVFq3769pkyZohMnTqiiokJz587V999/r/z8/FrnmTJlioqKisx25MiRBtcAAAAAABKB9YozDKNB4+Li4rR9+3ZVVlYqPT1dcXFxkiSbzeYUWGtbXV21apWys7OdmiQdPnzYKcTOmjWrxr6LFy9WTEyMevfubfY1bdpUa9eu1ddffy1/f395eXnJ4XDoxhtvlJtb7ZeQh4eHfHx8nBoAAAAAXAyeYb3CIiIiZLFYtH///nrH2e12lZaWateuXXI4HJo0aZKkc4E1KSlJhYWFyszM1MMPP1xjX6vVqvDw8Br9wcHBZniVaj67WlpaqpUrV2rGjBk19u3Zs6eys7NVVFSkiooKBQQEqE+fPrruuusactoAAAAAcNFYYb3C/P39lZCQoJSUFJWWltbYfvLkSUlSp06dZLVatX79emVnZ8tms0mSQkJCFBISovnz56uiouKinl91d3dXeHi42X4cWN9//32Vl5fr3nvvrXMOX19fBQQE6ODBg9q9e7d+//vfN/j4AAAAAHAxCKyNICUlRdXV1erdu7fWrFmjgwcPKicnR6+99pr69etnjrPb7Vq4cKHCw8PVtm1bs99ms2nBggXmy5l+7Pjx4yooKHBqZWVlF6xr8eLFuvXWW2v9CZz3339f6enp+uabb/Thhx9q0KBBuvXWWzV48OCf+C0AAAAAQP0IrI0gLCxMWVlZstvtmjBhgq6++moNGjRImzdvVmpqqjnObrerpKTEfH71PJvNppKSkjpXV+Pj4xUUFOTUPvjgg3prOnDggLZt26ZRo0bVuj0/P1/33XefoqKi9Pjjj+u+++7TihUrLuq8AQAAAOBiWIyGvgUIuATFxcXy9fWVQqZKbp4X3gEAAADAZWEcntbYJTg5nw2Kioou+HJWVlgBAAAAAC6JwAoAAAAAcEkEVgAAAACASyKwAgAAAABckntjF4DflqJ9T13wwWoAAAAAkFhhBQAAAAC4KAIrAAAAAMAlEVgBAAAAAC6JwAoAAAAAcEkEVgAAAACASyKwAgAAAABcEoEVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJBFYAAAAAgEsisAIAAAAAXBKBFQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl0RgBQAAAAC4JAIrAAAAAMAlEVgBAAAAAC6JwAoAAAAAcEkEVgAAAACASyKwAgAAAABcEoEVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCT3xi4Avw2GYUiSiouLG7kSAAAAAI3pfCY4nxHqQ2DFFXH8+HFJktVqbeRKAAAAALiCkpIS+fr61juGwIorwt/fX5J0+PDhC16UwM+tuLhYVqtVR44ckY+PT2OXg984rke4Eq5HuBKux18vwzBUUlKi4ODgC44lsOKKcHM797i0r68vf3DgMnx8fLge4TK4HuFKuB7hSrgef50auojFS5cAAAAAAC6JwAoAAAAAcEkEVlwRHh4eeu655+Th4dHYpQBcj3ApXI9wJVyPcCVcj5Aki9GQdwkDAAAAAHCFscIKAAAAAHBJBFYAAAAAgEsisAIAAAAAXBKBFQAAAADgkgisuCJSUlLUsWNHeXp6qk+fPtq5c2djl4RfuK1bt2rIkCEKDg6WxWLRBx984LTdMAw9++yzCgoKUvPmzRUfH6+DBw86jSksLNSIESPk4+MjPz8/jRo1SqdOnXIa8+WXX+r666+Xp6enrFarXnzxxZ/71PALNHv2bPXq1UstW7ZUmzZtdOutt+rAgQNOY8rKypScnKzWrVvL29tbd9xxh/7zn/84jTl8+LBuvvlmeXl5qU2bNpo0aZKqqqqcxqSnp+vaa6+Vh4eHwsPDtWzZsp/79PALk5qaqm7dusnHx0c+Pj7q16+fPvnkE3M71yIay5w5c2SxWPTkk0+afVyPuBACK352q1at0vjx4/Xcc88pKytL3bt3V0JCgo4dO9bYpeEXrLS0VN27d1dKSkqt21988UW99tprev3115WZmakWLVooISFBZWVl5pgRI0boX//6lzZu3KiPPvpIW7du1ZgxY8ztxcXFGjx4sDp06KA9e/Zo3rx5mj59uv7yl7/87OeHX5YtW7YoOTlZO3bs0MaNG1VZWanBgwertLTUHDNu3Dj97W9/0/vvv68tW7bo3//+t26//XZze3V1tW6++WZVVFTo888/1/Lly7Vs2TI9++yz5phvv/1WN998s+x2u7Kzs/Xkk09q9OjR2rBhwxU9X7i2du3aac6cOdqzZ492796t3/3ud/r973+vf/3rX5K4FtE4du3apTfeeEPdunVz6ud6xAUZwM+sd+/eRnJysvm5urraCA4ONmbPnt2IVeHXRJKxbt068/PZs2eNwMBAY968eWbfyZMnDQ8PD2PFihWGYRjGvn37DEnGrl27zDGffPKJYbFYjKNHjxqGYRgLFy40WrVqZZSXl5tjnnrqKaNz584/8xnhl+7YsWOGJGPLli2GYZy7/po2bWq8//775picnBxDkpGRkWEYhmF8/PHHhpubm1FQUGCOSU1NNXx8fMxr8I9//KPRtWtXp2PdfffdRkJCws99SviFa9WqlfHmm29yLaJRlJSUGBEREcbGjRsNm81mPPHEE4Zh8LcRDcMKK35WFRUV2rNnj+Lj480+Nzc3xcfHKyMjoxErw6/Zt99+q4KCAqfrztfXV3369DGvu4yMDPn5+em6664zx8THx8vNzU2ZmZnmmNjYWDVr1swck5CQoAMHDujEiRNX6GzwS1RUVCRJ8vf3lyTt2bNHlZWVTtdkVFSU2rdv73RNxsTEqG3btuaYhIQEFRcXmytjGRkZTnOcH8PfU9SlurpaK1euVGlpqfr168e1iEaRnJysm2++ucY1w/WIhnBv7ALw6/b//t//U3V1tdMfGUlq27at9u/f30hV4deuoKBAkmq97s5vKygoUJs2bZy2u7u7y9/f32lMaGhojTnOb2vVqtXPUj9+2c6ePasnn3xSAwYM0NVXXy3p3PXSrFkz+fn5OY398TVZ2zV7flt9Y4qLi3XmzBk1b9785zgl/AJ99dVX6tevn8rKyuTt7a1169YpOjpa2dnZXIu4olauXKmsrCzt2rWrxjb+NqIhCKwAAFxGycnJ2rt3r7Zt29bYpeA3rHPnzsrOzlZRUZFWr16tBx54QFu2bGnssvAbc+TIET3xxBPauHGjPD09G7sc/EJxSzB+VldddZWaNGlS421v//nPfxQYGNhIVeHX7vy1Vd91FxgYWOPFX1VVVSosLHQaU9scPzwG8EOPPvqoPvroIzkcDrVr187sDwwMVEVFhU6ePOk0/sfX5IWut7rG+Pj4sIIAJ82aNVN4eLh69uyp2bNnq3v37nr11Ve5FnFF7dmzR8eOHdO1114rd3d3ubu7a8uWLXrttdfk7u6utm3bcj3iggis+Fk1a9ZMPXv21ObNm82+s2fPavPmzerXr18jVoZfs9DQUAUGBjpdd8XFxcrMzDSvu379+unkyZPas2ePOebTTz/V2bNn1adPH3PM1q1bVVlZaY7ZuHGjOnfuzO3AcGIYhh599FGtW7dOn376aY1byXv27KmmTZs6XZMHDhzQ4cOHna7Jr776yul/pGzcuFE+Pj6Kjo42x/xwjvNj+HuKCzl79qzKy8u5FnFF3XDDDfrqq6+UnZ1ttuuuu04jRoww/831iAtq7Lc+4ddv5cqVhoeHh7Fs2TJj3759xpgxYww/Pz+nt70BF6ukpMT44osvjC+++MKQZLz88svGF198YXz33XeGYRjGnDlzDD8/P+PDDz80vvzyS+P3v/+9ERoaapw5c8acIzEx0bjmmmuMzMxMY9u2bUZERIQxfPhwc/vJkyeNtm3bGvfdd5+xd+9eY+XKlYaXl5fxxhtvXPHzhWv7wx/+YPj6+hrp6elGfn6+2U6fPm2OeeSRR4z27dsbn376qbF7926jX79+Rr9+/cztVVVVxtVXX20MHjzYyM7ONtLS0oyAgABjypQp5phvvvnG8PLyMiZNmmTk5OQYKSkpRpMmTYy0tLQrer5wbZMnTza2bNlifPvtt8aXX35pTJ482bBYLMY//vEPwzC4FtG4fviWYMPgesSFEVhxRSxYsMBo37690axZM6N3797Gjh07Grsk/MI5HA5DUo32wAMPGIZx7qdtpk2bZrRt29bw8PAwbrjhBuPAgQNOcxw/ftwYPny44e3tbfj4+BgPPvigUVJS4jTmn//8pzFw4EDDw8PDCAkJMebMmXOlThG/ILVdi5KMpUuXmmPOnDljjB071mjVqpXh5eVl3HbbbUZ+fr7TPHl5ecaNN95oNG/e3LjqqquMCRMmGJWVlU5jHA6H0aNHD6NZs2ZGWFiY0zEAwzCMpKQko0OHDkazZs2MgIAA44YbbjDDqmFwLaJx/Tiwcj3iQiyGYRiNs7YLAAAAAEDdeIYVAAAAAOCSCKwAAAAAAJdEYAUAAAAAuCQCKwAAAADAJRFYAQAAAAAuicAKAAAAAHBJBFYAAAAAgEsisAIAAAAAXBKBFQAAAADgkgisAADgohUUFOixxx5TWFiYPDw8ZLVaNWTIEG3YsEFXXXWV5syZU+t+L7zwgtq2bavKykotW7ZMFoulRvP09LzCZwMAcFXujV0AAAD4ZcnLy9OAAQPk5+enefPmKSYmRpWVldqwYYOeeOIJ3XvvvVq6dKkmT57stJ9hGFq2bJnuv/9+NW3aVJLk4+OjAwcOOI2zWCxX7FwAAK6NwAoAAC7K2LFjZbFYtHPnTrVo0cLs79q1q5KSknTkyBG9+uqr2rZtmwYOHGhu37Jli7755huNGjXK7LNYLAoMDKzzWKtXr9bzzz+v3NxceXl56ZprrtGHH37odFwAwK8XtwQDAIAGKywsVFpampKTk2sNjX5+foqJiVGvXr20ZMkSp21Lly5V//79FRUV1aBj5efna/jw4UpKSlJOTo7S09N1++23yzCMy3IuAADXR2AFAAANlpubK8MwLhg6R40apffff1+nTp2SJJWUlGj16tVKSkpyGldUVCRvb2+nduONN0o6F1irqqp0++23q2PHjoqJidHYsWPl7e3985wcAMDlEFgBAECDNXR1c/jw4aqurtZ7770nSVq1apXc3Nx09913O41r2bKlsrOzndqbb74pSerevbtuuOEGxcTEaOjQoVq0aJFOnDhxeU8IAODSCKwAAKDBIiIiZLFYtH///nrH+fj46M4779TSpUslnbsd+K677qqxOurm5qbw8HCnFhISIklq0qSJNm7cqE8++UTR0dFasGCBOnfurG+//fbnOTkAgMshsAIAgAbz9/dXQkKCUlJSVFpaWmP7yZMnzX+PGjVK27Zt00cffaTPP//c6WVLDWWxWDRgwAA9//zz+uKLL9SsWTOtW7fuUk4BAPALwluCAQDARUlJSdGAAQPUu3dvzZgxQ926dVNVVZU2btyo1NRU5eTkSJJiY2MVHh6u+++/X1FRUerfv3+NuQzDUEFBQY3+Nm3aaNeuXdq8ebMGDx6sNm3aKDMzU//973/VpUuXn/0cAQCugcAKAAAuSlhYmLKysjRz5kxNmDBB+fn5CggIUM+ePZWammqOs1gsSkpK0tSpUzVlypRa5youLlZQUFCN/vz8fPn4+Gjr1q165ZVXVFxcrA4dOmj+/PnmS5kAAL9+FoN3wwMAAAAAXBDPsAIAAAAAXBKBFQAAAADgkgisAAAAAACXRGAFAAAAALgkAisAAAAAwCURWAEAAAAALonACgAAAABwSQRWAAAAAIBLIrACAAAAAFwSgRUAAAAA4JIIrAAAAAAAl/T/AS9Esqbe+zoiAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -674,10 +674,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:44.089894Z",
-     "iopub.status.busy": "2024-09-13T08:24:44.089686Z",
-     "iopub.status.idle": "2024-09-13T08:24:44.101905Z",
-     "shell.execute_reply": "2024-09-13T08:24:44.101457Z"
+     "iopub.execute_input": "2025-02-02T04:23:50.849683Z",
+     "iopub.status.busy": "2025-02-02T04:23:50.849350Z",
+     "iopub.status.idle": "2025-02-02T04:23:50.861166Z",
+     "shell.execute_reply": "2025-02-02T04:23:50.860634Z"
     },
     "tags": [
      "remove-input"
@@ -687,7 +687,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_c780f5a6_cae0_4e89_9c17_6c9984cbce8c\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_98f580ab_d31d_41d7_a46d_9ab1abd2f59b\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -697,7 +697,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -788,24 +787,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_98f580ab_d31d_41d7_a46d_9ab1abd2f59b:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_c780f5a6_cae0_4e89_9c17_6c9984cbce8c:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 6343, 20.0], [\"audit@patchstack.com\", 2146, 7.0], [\"cna@vuldb.com\", 1933, 6.0], [\"security-advisories@github.com\", 1851, 6.0], [\"product-security@apple.com\", 1158, 4.0], [\"secure@microsoft.com\", 995, 3.0], [\"contact@wpscan.com\", 938, 3.0], [\"security@wordfence.com\", 919, 3.0], [\"secure@intel.com\", 839, 3.0], [\"psirt@adobe.com\", 674, 2.0], [\"security@android.com\", 626, 2.0], [\"security@huntr.dev\", 615, 2.0], [\"secalert@redhat.com\", 498, 2.0], [\"security@unisoc.com\", 464, 1.0], [\"psirt@us.ibm.com\", 414, 1.0], [\"security@mediatek.com\", 396, 1.0], [\"product-security@qualcomm.com\", 375, 1.0], [\"talos-cna@cisco.com\", 353, 1.0], [\"ics-cert@hq.dhs.gov\", 335, 1.0], [\"vultures@jpcert.or.jp\", 325, 1.0], [\"chrome-cve-admin@google.com\", 297, 1.0], [\"secalert_us@oracle.com\", 296, 1.0], [\"security_alert@emc.com\", 294, 1.0], [\"security@apache.org\", 265, 1.0], [\"ykramarz@cisco.com\", 263, 1.0], [\"zdi-disclosures@trendmicro.com\", 259, 1.0], [\"psirt@huawei.com\", 254, 1.0], [\"productcert@siemens.com\", 248, 1.0], [\"jenkinsci-cert@googlegroups.com\", 240, 1.0], [\"mobile.security@samsung.com\", 237, 1.0], [\"help@fluidattacks.com\", 216, 1.0], [\"cve@gitlab.com\", 214, 1.0], [\"security-alert@hpe.com\", 209, 1.0], [\"psirt@fortinet.com\", 198, 1.0], [\"security@mozilla.org\", 194, 1.0], [\"iletisim@usom.gov.tr\", 179, 1.0], [\"cve-coordination@incibe.es\", 175, 1.0], [\"cna@sap.com\", 167, 1.0], [\"support@hackerone.com\", 145, 0.0], [\"twcert@cert.org.tw\", 122, 0.0], [\"psirt@amd.com\", 111, 0.0], [\"info@cert.vde.com\", 111, 0.0], [\"psirt@nvidia.com\", 108, 0.0], [\"psirt@lenovo.com\", 104, 0.0], [\"sirt@juniper.net\", 100, 0.0], [\"cybersecurity@se.com\", 98, 0.0], [\"report@snyk.io\", 90, 0.0], [\"responsibledisclosure@mattermost.com\", 84, 0.0], [\"cna@cyber.gov.il\", 84, 0.0], [\"cve-coordination@google.com\", 82, 0.0], [\"security@vmware.com\", 80, 0.0], [\"vulnreport@tenable.com\", 69, 0.0], [\"patrick@puiterwijk.org\", 66, 0.0], [\"security@zoom.us\", 64, 0.0], [\"security@atlassian.com\", 64, 0.0], [\"security@odoo.com\", 62, 0.0], [\"hp-security-alert@hp.com\", 61, 0.0], [\"security@acronis.com\", 61, 0.0], [\"security@zyxel.com.tw\", 60, 0.0], [\"f5sirt@f5.com\", 56, 0.0], [\"psirt@hcl.com\", 53, 0.0], [\"cve@jetbrains.com\", 53, 0.0], [\"psirt@solarwinds.com\", 46, 0.0], [\"cve@rapid7.com\", 44, 0.0], [\"disclosures@gallagher.com\", 44, 0.0], [\"security@trendmicro.com\", 44, 0.0], [\"PSIRT@rockwellautomation.com\", 42, 0.0], [\"security@golang.org\", 40, 0.0], [\"security@selinc.com\", 40, 0.0], [\"info@starlabs.sg\", 40, 0.0], [\"trellixpsirt@trellix.com\", 39, 0.0], [\"psirt@sick.de\", 38, 0.0], [\"cret@cert.org\", 38, 0.0], [\"security@qnapsecurity.com.tw\", 37, 0.0], [\"prodsec@splunk.com\", 36, 0.0], [\"security@joomla.org\", 35, 0.0], [\"product-security@silabs.com\", 35, 0.0], [\"PSIRT@sonicwall.com\", 34, 0.0], [\"vdp@themissinglink.com.au\", 34, 0.0], [\"security@open-xchange.com\", 34, 0.0], [\"security@ubuntu.com\", 32, 0.0], [\"psirt@autodesk.com\", 31, 0.0], [\"security@checkmk.com\", 31, 0.0], [\"bressers@elastic.co\", 31, 0.0], [\"vulnerability@ncsc.ch\", 30, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 30, 0.0], [\"security@devolutions.net\", 30, 0.0], [\"psirt@moxa.com\", 30, 0.0], [\"psirt@forcepoint.com\", 29, 0.0], [\"cybersecurity@ch.abb.com\", 29, 0.0], [\"security@hashicorp.com\", 29, 0.0], [\"cve-coordination@palantir.com\", 28, 0.0], [\"dsap-vuln-management@google.com\", 28, 0.0], [\"cybersecurity@hitachienergy.com\", 28, 0.0], [\"csirt@divd.nl\", 27, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 27, 0.0], [\"cna@cloudflare.com\", 27, 0.0], [\"product-cna@github.com\", 26, 0.0], [\"security@liferay.com\", 26, 0.0], [\"meissner@suse.de\", 26, 0.0], [\"vulnerabilities@zephyrproject.org\", 26, 0.0], [\"contact@securifera.com\", 25, 0.0], [\"psirt@paloaltonetworks.com\", 23, 0.0], [\"security@progress.com\", 22, 0.0], [\"biossecurity@ami.com\", 22, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 20, 0.0], [\"jordan@liggitt.net\", 20, 0.0], [\"hirt@hitachi.co.jp\", 19, 0.0], [\"security@pandorafms.com\", 19, 0.0], [\"openssl-security@openssl.org\", 19, 0.0], [\"security-alert@netapp.com\", 19, 0.0], [\"security@m-files.com\", 19, 0.0], [\"security@opentext.com\", 19, 0.0], [\"scy@openharmony.io\", 18, 0.0], [\"psirt@bosch.com\", 18, 0.0], [\"sirt@brocade.com\", 18, 0.0], [\"cert@ncsc.nl\", 18, 0.0], [\"psirt@honeywell.com\", 18, 0.0], [\"security@zabbix.com\", 18, 0.0], [\"psirt@wdc.com\", 18, 0.0], [\"cve@zscaler.com\", 17, 0.0], [\"security@proofpoint.com\", 17, 0.0], [\"secure@citrix.com\", 17, 0.0], [\"disclosure@synopsys.com\", 17, 0.0], [\"security@xen.org\", 16, 0.0], [\"cve-assign@fb.com\", 16, 0.0], [\"sec@hillstonenet.com\", 16, 0.0], [\"product-security@axis.com\", 16, 0.0], [\"cybersecurity@bd.com\", 15, 0.0], [\"cve@asrg.io\", 15, 0.0], [\"prodsec@nozominetworks.com\", 15, 0.0], [\"psirt@zte.com.cn\", 14, 0.0], [\"psirt@esri.com\", 14, 0.0], [\"security@opennms.com\", 14, 0.0], [\"security@tibco.com\", 14, 0.0], [\"security@octopus.com\", 14, 0.0], [\"security@synology.com\", 13, 0.0], [\"3DS.Information-Security@3ds.com\", 13, 0.0], [\"paddle-security@baidu.com\", 13, 0.0], [\"xpdf@xpdfreader.com\", 13, 0.0], [\"security-officer@isc.org\", 13, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 13, 0.0], [\"product.security@lge.com\", 13, 0.0], [\"arm-security@arm.com\", 13, 0.0], [\"emo@eclipse.org\", 13, 0.0], [\"productsecurity@jci.com\", 12, 0.0], [\"secteam@freebsd.org\", 12, 0.0], [\"security@pega.com\", 11, 0.0], [\"secure@symantec.com\", 11, 0.0], [\"psirt-info@cyber.jp.nec.com\", 11, 0.0], [\"security@otrs.com\", 11, 0.0], [\"vuln@krcert.or.kr\", 11, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 11, 0.0], [\"cve-requests@bitdefender.com\", 11, 0.0], [\"psirt@arista.com\", 11, 0.0], [\"security@grafana.com\", 11, 0.0], [\"product-security@gg.jp.panasonic.com\", 10, 0.0], [\"vdisclose@cert-in.org.in\", 10, 0.0], [\"disclosure@vulncheck.com\", 10, 0.0], [\"responsible-disclosure@pingidentity.com\", 10, 0.0], [\"security@sierrawireless.com\", 10, 0.0], [\"reefs@jfrog.com\", 10, 0.0], [\"psirt@servicenow.com\", 9, 0.0], [\"security@docker.com\", 9, 0.0], [\"security@asustor.com\", 9, 0.0], [\"security@puppet.com\", 9, 0.0], [\"securities@openeuler.org\", 8, 0.0], [\"security@knime.com\", 8, 0.0], [\"office@cyberdanube.com\", 8, 0.0], [\"security-alert@sophos.com\", 8, 0.0], [\"ART@zuso.ai\", 8, 0.0], [\"security@yugabyte.com\", 8, 0.0], [\"mlhess@drupal.org\", 8, 0.0], [\"security@nortonlifelock.com\", 7, 0.0], [\"a87f365f-9d39-4848-9b3a-58c7cae69cab\", 7, 0.0], [\"vulnerability@kaspersky.com\", 7, 0.0], [\"security@1e.com\", 6, 0.0], [\"hsrc@hikvision.com\", 6, 0.0], [\"bugreport@qualys.com\", 6, 0.0], [\"security@xiaomi.com\", 6, 0.0], [\"security@php.net\", 6, 0.0], [\"support@shopbeat.co.za\", 6, 0.0], [\"cvd@cert.pl\", 6, 0.0], [\"ed10eef1-636d-4fbe-9993-6890dfa878f8\", 6, 0.0], [\"cna@mongodb.com\", 6, 0.0], [\"research@onekey.com\", 6, 0.0], [\"psirt@purestorage.com\", 6, 0.0], [\"cve@takeonme.org\", 6, 0.0], [\"secure@blackberry.com\", 5, 0.0], [\"security@hypr.com\", 5, 0.0], [\"psirt@forgerock.com\", 5, 0.0], [\"ot-cert@dragos.com\", 5, 0.0], [\"disclosures@exodusintel.com\", 5, 0.0], [\"security@documentfoundation.org\", 4, 0.0], [\"VulnerabilityReporting@secomea.com\", 4, 0.0], [\"cve@checkpoint.com\", 4, 0.0], [\"mandiant-cve@google.com\", 4, 0.0], [\"sep@nlnetlabs.nl\", 4, 0.0], [\"security@eset.com\", 4, 0.0], [\"security@baicells.com\", 4, 0.0], [\"security@openvpn.net\", 3, 0.0], [\"security@oppo.com\", 3, 0.0], [\"security@ni.com\", 3, 0.0], [\"CybersecurityCOE@eaton.com\", 3, 0.0], [\"psirt@okta.com\", 3, 0.0], [\"security@snowsoftware.com\", 3, 0.0], [\"psirt@netskope.com\", 3, 0.0], [\"PSIRT@samsung.com\", 3, 0.0], [\"psirt@tigera.io\", 3, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 3, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 3, 0.0], [\"disclosures@halborn.com\", 3, 0.0], [\"0a72a055-908d-47f5-a16a-1f09049c16c6\", 3, 0.0], [\"psirt@sailpoint.com\", 3, 0.0], [\"security@42gears.com\", 3, 0.0], [\"cve_disclosure@tech.gov.sg\", 2, 0.0], [\"22d9ba52-f336-4b0d-bf1f-0efbdcc3c1de\", 2, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 2, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 2, 0.0], [\"cve@forums.swift.org\", 2, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 2, 0.0], [\"security@medtronic.com\", 2, 0.0], [\"security@craftersoftware.com\", 2, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 2, 0.0], [\"info@appcheck-ng.com\", 2, 0.0], [\"cna@python.org\", 2, 0.0], [\"securityalerts@avaya.com\", 2, 0.0], [\"cves@blacklanternsecurity.com\", 2, 0.0], [\"security@vaadin.com\", 2, 0.0], [\"cybersecurity@dahuatech.com\", 1, 0.0], [\"security@genetec.com\", 1, 0.0], [\"security@tcpdump.org\", 1, 0.0], [\"GEPowerCVD@ge.com\", 1, 0.0], [\"cve@navercorp.com\", 1, 0.0], [\"96d4e157-0bf0-48b3-8efd-382c68caf4e0\", 1, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 1, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 1, 0.0], [\"security@vivo.com\", 1, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 1, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 1, 0.0], [\"productsecurity@bbraun.com\", 1, 0.0], [\"security@opencloudos.tech\", 1, 0.0], [\"facts@wolfssl.com\", 1, 0.0], [\"psirt@teamviewer.com\", 1, 0.0], [\"security@temporal.io\", 1, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 1, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 1, 0.0], [\"incident@nbu.gov.sk\", 1, 0.0], [\"psirt@thalesgroup.com\", 1, 0.0], [\"security@mimsoftware.com\", 1, 0.0], [\"info@greenrocketsecurity.com\", 1, 0.0], [\"PSIRT@synaptics.com\", 1, 0.0], [\"security@illumio.com\", 1, 0.0], [\"security@dotcms.com\", 1, 0.0], [\"dl_cve@linecorp.com\", 1, 0.0], [\"security.vulnerabilities@algosec.com\", 1, 0.0], [\"security@bluespice.com\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 6343, 20.0], [\"audit@patchstack.com\", 2146, 7.0], [\"cna@vuldb.com\", 1933, 6.0], [\"security-advisories@github.com\", 1851, 6.0], [\"product-security@apple.com\", 1158, 4.0], [\"secure@microsoft.com\", 995, 3.0], [\"contact@wpscan.com\", 938, 3.0], [\"security@wordfence.com\", 919, 3.0], [\"secure@intel.com\", 839, 3.0], [\"psirt@adobe.com\", 674, 2.0], [\"security@android.com\", 626, 2.0], [\"security@huntr.dev\", 615, 2.0], [\"secalert@redhat.com\", 498, 2.0], [\"security@unisoc.com\", 464, 1.0], [\"psirt@us.ibm.com\", 414, 1.0], [\"security@mediatek.com\", 396, 1.0], [\"product-security@qualcomm.com\", 375, 1.0], [\"talos-cna@cisco.com\", 353, 1.0], [\"ics-cert@hq.dhs.gov\", 335, 1.0], [\"vultures@jpcert.or.jp\", 325, 1.0], [\"chrome-cve-admin@google.com\", 297, 1.0], [\"secalert_us@oracle.com\", 296, 1.0], [\"security_alert@emc.com\", 294, 1.0], [\"security@apache.org\", 265, 1.0], [\"psirt@cisco.com\", 263, 1.0], [\"zdi-disclosures@trendmicro.com\", 259, 1.0], [\"psirt@huawei.com\", 254, 1.0], [\"productcert@siemens.com\", 248, 1.0], [\"jenkinsci-cert@googlegroups.com\", 240, 1.0], [\"mobile.security@samsung.com\", 237, 1.0], [\"help@fluidattacks.com\", 216, 1.0], [\"cve@gitlab.com\", 214, 1.0], [\"security-alert@hpe.com\", 209, 1.0], [\"psirt@fortinet.com\", 198, 1.0], [\"security@mozilla.org\", 194, 1.0], [\"iletisim@usom.gov.tr\", 179, 1.0], [\"cve-coordination@incibe.es\", 175, 1.0], [\"cna@sap.com\", 167, 1.0], [\"support@hackerone.com\", 145, 0.0], [\"twcert@cert.org.tw\", 122, 0.0], [\"psirt@amd.com\", 111, 0.0], [\"info@cert.vde.com\", 111, 0.0], [\"psirt@nvidia.com\", 108, 0.0], [\"psirt@lenovo.com\", 104, 0.0], [\"sirt@juniper.net\", 100, 0.0], [\"cybersecurity@se.com\", 98, 0.0], [\"report@snyk.io\", 90, 0.0], [\"responsibledisclosure@mattermost.com\", 84, 0.0], [\"cna@cyber.gov.il\", 84, 0.0], [\"cve-coordination@google.com\", 82, 0.0], [\"security@vmware.com\", 80, 0.0], [\"vulnreport@tenable.com\", 69, 0.0], [\"patrick@puiterwijk.org\", 66, 0.0], [\"security@zoom.us\", 64, 0.0], [\"security@atlassian.com\", 64, 0.0], [\"security@odoo.com\", 62, 0.0], [\"hp-security-alert@hp.com\", 61, 0.0], [\"security@acronis.com\", 61, 0.0], [\"security@zyxel.com.tw\", 60, 0.0], [\"f5sirt@f5.com\", 56, 0.0], [\"psirt@hcl.com\", 53, 0.0], [\"cve@jetbrains.com\", 53, 0.0], [\"psirt@solarwinds.com\", 46, 0.0], [\"cve@rapid7.com\", 44, 0.0], [\"disclosures@gallagher.com\", 44, 0.0], [\"security@trendmicro.com\", 44, 0.0], [\"PSIRT@rockwellautomation.com\", 42, 0.0], [\"security@golang.org\", 40, 0.0], [\"security@selinc.com\", 40, 0.0], [\"info@starlabs.sg\", 40, 0.0], [\"trellixpsirt@trellix.com\", 39, 0.0], [\"psirt@sick.de\", 38, 0.0], [\"cret@cert.org\", 38, 0.0], [\"security@qnapsecurity.com.tw\", 37, 0.0], [\"prodsec@splunk.com\", 36, 0.0], [\"security@joomla.org\", 35, 0.0], [\"product-security@silabs.com\", 35, 0.0], [\"PSIRT@sonicwall.com\", 34, 0.0], [\"vdp@themissinglink.com.au\", 34, 0.0], [\"security@open-xchange.com\", 34, 0.0], [\"security@ubuntu.com\", 32, 0.0], [\"psirt@autodesk.com\", 31, 0.0], [\"security@checkmk.com\", 31, 0.0], [\"bressers@elastic.co\", 31, 0.0], [\"vulnerability@ncsc.ch\", 30, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 30, 0.0], [\"security@devolutions.net\", 30, 0.0], [\"psirt@moxa.com\", 30, 0.0], [\"psirt@forcepoint.com\", 29, 0.0], [\"cybersecurity@ch.abb.com\", 29, 0.0], [\"security@hashicorp.com\", 29, 0.0], [\"cve-coordination@palantir.com\", 28, 0.0], [\"dsap-vuln-management@google.com\", 28, 0.0], [\"cybersecurity@hitachienergy.com\", 28, 0.0], [\"csirt@divd.nl\", 27, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 27, 0.0], [\"cna@cloudflare.com\", 27, 0.0], [\"product-cna@github.com\", 26, 0.0], [\"security@liferay.com\", 26, 0.0], [\"meissner@suse.de\", 26, 0.0], [\"vulnerabilities@zephyrproject.org\", 26, 0.0], [\"contact@securifera.com\", 25, 0.0], [\"psirt@paloaltonetworks.com\", 23, 0.0], [\"security@progress.com\", 22, 0.0], [\"biossecurity@ami.com\", 22, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 20, 0.0], [\"jordan@liggitt.net\", 20, 0.0], [\"hirt@hitachi.co.jp\", 19, 0.0], [\"security@pandorafms.com\", 19, 0.0], [\"openssl-security@openssl.org\", 19, 0.0], [\"security-alert@netapp.com\", 19, 0.0], [\"security@m-files.com\", 19, 0.0], [\"security@opentext.com\", 19, 0.0], [\"scy@openharmony.io\", 18, 0.0], [\"psirt@bosch.com\", 18, 0.0], [\"sirt@brocade.com\", 18, 0.0], [\"cert@ncsc.nl\", 18, 0.0], [\"psirt@honeywell.com\", 18, 0.0], [\"security@zabbix.com\", 18, 0.0], [\"psirt@wdc.com\", 18, 0.0], [\"cve@zscaler.com\", 17, 0.0], [\"security@proofpoint.com\", 17, 0.0], [\"secure@citrix.com\", 17, 0.0], [\"disclosure@synopsys.com\", 17, 0.0], [\"security@xen.org\", 16, 0.0], [\"cve-assign@fb.com\", 16, 0.0], [\"sec@hillstonenet.com\", 16, 0.0], [\"product-security@axis.com\", 16, 0.0], [\"cybersecurity@bd.com\", 15, 0.0], [\"cve@asrg.io\", 15, 0.0], [\"prodsec@nozominetworks.com\", 15, 0.0], [\"psirt@zte.com.cn\", 14, 0.0], [\"psirt@esri.com\", 14, 0.0], [\"security@opennms.com\", 14, 0.0], [\"security@tibco.com\", 14, 0.0], [\"security@octopus.com\", 14, 0.0], [\"security@synology.com\", 13, 0.0], [\"3DS.Information-Security@3ds.com\", 13, 0.0], [\"paddle-security@baidu.com\", 13, 0.0], [\"xpdf@xpdfreader.com\", 13, 0.0], [\"security-officer@isc.org\", 13, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 13, 0.0], [\"product.security@lge.com\", 13, 0.0], [\"arm-security@arm.com\", 13, 0.0], [\"emo@eclipse.org\", 13, 0.0], [\"productsecurity@jci.com\", 12, 0.0], [\"secteam@freebsd.org\", 12, 0.0], [\"security@pega.com\", 11, 0.0], [\"secure@symantec.com\", 11, 0.0], [\"psirt-info@cyber.jp.nec.com\", 11, 0.0], [\"security@otrs.com\", 11, 0.0], [\"vuln@krcert.or.kr\", 11, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 11, 0.0], [\"cve-requests@bitdefender.com\", 11, 0.0], [\"psirt@arista.com\", 11, 0.0], [\"security@grafana.com\", 11, 0.0], [\"product-security@gg.jp.panasonic.com\", 10, 0.0], [\"vdisclose@cert-in.org.in\", 10, 0.0], [\"disclosure@vulncheck.com\", 10, 0.0], [\"responsible-disclosure@pingidentity.com\", 10, 0.0], [\"security@sierrawireless.com\", 10, 0.0], [\"reefs@jfrog.com\", 10, 0.0], [\"psirt@servicenow.com\", 9, 0.0], [\"security@docker.com\", 9, 0.0], [\"security@asustor.com\", 9, 0.0], [\"security@puppet.com\", 9, 0.0], [\"securities@openeuler.org\", 8, 0.0], [\"security@knime.com\", 8, 0.0], [\"office@cyberdanube.com\", 8, 0.0], [\"security-alert@sophos.com\", 8, 0.0], [\"ART@zuso.ai\", 8, 0.0], [\"security@yugabyte.com\", 8, 0.0], [\"mlhess@drupal.org\", 8, 0.0], [\"security@nortonlifelock.com\", 7, 0.0], [\"a87f365f-9d39-4848-9b3a-58c7cae69cab\", 7, 0.0], [\"vulnerability@kaspersky.com\", 7, 0.0], [\"security@1e.com\", 6, 0.0], [\"hsrc@hikvision.com\", 6, 0.0], [\"bugreport@qualys.com\", 6, 0.0], [\"security@xiaomi.com\", 6, 0.0], [\"security@php.net\", 6, 0.0], [\"support@shopbeat.co.za\", 6, 0.0], [\"cvd@cert.pl\", 6, 0.0], [\"ed10eef1-636d-4fbe-9993-6890dfa878f8\", 6, 0.0], [\"cna@mongodb.com\", 6, 0.0], [\"research@onekey.com\", 6, 0.0], [\"psirt@purestorage.com\", 6, 0.0], [\"cve@takeonme.org\", 6, 0.0], [\"secure@blackberry.com\", 5, 0.0], [\"security@hypr.com\", 5, 0.0], [\"psirt@forgerock.com\", 5, 0.0], [\"ot-cert@dragos.com\", 5, 0.0], [\"disclosures@exodusintel.com\", 5, 0.0], [\"security@documentfoundation.org\", 4, 0.0], [\"VulnerabilityReporting@secomea.com\", 4, 0.0], [\"cve@checkpoint.com\", 4, 0.0], [\"mandiant-cve@google.com\", 4, 0.0], [\"sep@nlnetlabs.nl\", 4, 0.0], [\"security@eset.com\", 4, 0.0], [\"security@baicells.com\", 4, 0.0], [\"security@openvpn.net\", 3, 0.0], [\"security@oppo.com\", 3, 0.0], [\"security@ni.com\", 3, 0.0], [\"CybersecurityCOE@eaton.com\", 3, 0.0], [\"psirt@okta.com\", 3, 0.0], [\"security@snowsoftware.com\", 3, 0.0], [\"psirt@netskope.com\", 3, 0.0], [\"PSIRT@samsung.com\", 3, 0.0], [\"psirt@tigera.io\", 3, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 3, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 3, 0.0], [\"disclosures@halborn.com\", 3, 0.0], [\"0a72a055-908d-47f5-a16a-1f09049c16c6\", 3, 0.0], [\"psirt@sailpoint.com\", 3, 0.0], [\"security@42gears.com\", 3, 0.0], [\"cve_disclosure@tech.gov.sg\", 2, 0.0], [\"22d9ba52-f336-4b0d-bf1f-0efbdcc3c1de\", 2, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 2, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 2, 0.0], [\"cve@forums.swift.org\", 2, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 2, 0.0], [\"security@medtronic.com\", 2, 0.0], [\"security@craftersoftware.com\", 2, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 2, 0.0], [\"info@appcheck-ng.com\", 2, 0.0], [\"cna@python.org\", 2, 0.0], [\"securityalerts@avaya.com\", 2, 0.0], [\"cves@blacklanternsecurity.com\", 2, 0.0], [\"security@vaadin.com\", 2, 0.0], [\"cybersecurity@dahuatech.com\", 1, 0.0], [\"security@genetec.com\", 1, 0.0], [\"security@tcpdump.org\", 1, 0.0], [\"GEPowerCVD@ge.com\", 1, 0.0], [\"cve@navercorp.com\", 1, 0.0], [\"96d4e157-0bf0-48b3-8efd-382c68caf4e0\", 1, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 1, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 1, 0.0], [\"security@vivo.com\", 1, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 1, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 1, 0.0], [\"productsecurity@bbraun.com\", 1, 0.0], [\"security@opencloudos.tech\", 1, 0.0], [\"facts@wolfssl.com\", 1, 0.0], [\"psirt@teamviewer.com\", 1, 0.0], [\"security@temporal.io\", 1, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 1, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 1, 0.0], [\"incident@nbu.gov.sk\", 1, 0.0], [\"psirt@thalesgroup.com\", 1, 0.0], [\"security@mimsoftware.com\", 1, 0.0], [\"info@greenrocketsecurity.com\", 1, 0.0], [\"PSIRT@synaptics.com\", 1, 0.0], [\"security@illumio.com\", 1, 0.0], [\"security@dotcms.com\", 1, 0.0], [\"dl_cve@linecorp.com\", 1, 0.0], [\"security.vulnerabilities@algosec.com\", 1, 0.0], [\"security@bluespice.com\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -840,10 +838,10 @@
    "id": "8af1def8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:44.104117Z",
-     "iopub.status.busy": "2024-09-13T08:24:44.103781Z",
-     "iopub.status.idle": "2024-09-13T08:24:44.109953Z",
-     "shell.execute_reply": "2024-09-13T08:24:44.109488Z"
+     "iopub.execute_input": "2025-02-02T04:23:50.862873Z",
+     "iopub.status.busy": "2025-02-02T04:23:50.862587Z",
+     "iopub.status.idle": "2025-02-02T04:23:50.868881Z",
+     "shell.execute_reply": "2025-02-02T04:23:50.868369Z"
     },
     "tags": [
      "remove-input"
@@ -853,7 +851,7 @@
     {
      "data": {
       "text/html": [
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+       "<table id=\"itables_904a1d1b_16be_4c0a_b98f_299a10831295\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -862,7 +860,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -953,24 +950,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_904a1d1b_16be_4c0a_b98f_299a10831295:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_6a461318_416e_46ae_8eda_29c40dbdd8c6:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"CWE-79\", 4502], [\"NVD-CWE-noinfo\", 4145], [\"Missing_Data\", 3279], [\"CWE-89\", 1981], [\"CWE-787\", 1887], [\"CWE-352\", 1148], [\"CWE-125\", 882], [\"NVD-CWE-Other\", 772], [\"CWE-22\", 723], [\"CWE-862\", 713], [\"CWE-416\", 529], [\"CWE-120\", 514], [\"CWE-434\", 507], [\"CWE-78\", 505], [\"CWE-77\", 451], [\"CWE-20\", 405], [\"CWE-287\", 336], [\"CWE-863\", 288], [\"CWE-94\", 258], [\"CWE-476\", 240], [\"CWE-400\", 231], [\"CWE-502\", 222], [\"CWE-918\", 215], [\"CWE-190\", 201], [\"CWE-269\", 190], [\"CWE-668\", 182], [\"CWE-601\", 178], [\"CWE-798\", 174], [\"CWE-306\", 164], [\"CWE-362\", 149], [\"CWE-732\", 146], [\"CWE-74\", 144], [\"CWE-119\", 143], [\"CWE-532\", 135], [\"CWE-770\", 134], [\"CWE-427\", 133], [\"CWE-276\", 127], [\"CWE-611\", 126], [\"CWE-200\", 126], [\"CWE-522\", 120], [\"CWE-312\", 119], [\"CWE-639\", 115], [\"CWE-295\", 111], [\"CWE-203\", 105], [\"CWE-284\", 101], [\"CWE-319\", 96], [\"CWE-121\", 95], [\"CWE-367\", 86], [\"CWE-307\", 86], [\"CWE-1333\", 82], [\"CWE-843\", 79], [\"CWE-401\", 78], [\"CWE-755\", 71], [\"CWE-59\", 68], [\"CWE-345\", 68], [\"CWE-617\", 67], [\"CWE-209\", 64], [\"CWE-613\", 63], [\"CWE-404\", 59], [\"CWE-835\", 58], [\"CWE-326\", 56], [\"CWE-552\", 55], [\"CWE-1236\", 54], [\"CWE-347\", 54], [\"CWE-327\", 54], [\"CWE-754\", 54], [\"CWE-415\", 51], [\"CWE-311\", 48], [\"CWE-824\", 44], [\"CWE-426\", 41], [\"CWE-1321\", 40], [\"CWE-116\", 40], [\"CWE-330\", 39], [\"CWE-665\", 38], [\"CWE-697\", 38], [\"CWE-122\", 37], [\"CWE-129\", 36], [\"CWE-384\", 35], [\"CWE-290\", 33], [\"CWE-1021\", 33], [\"CWE-428\", 32], [\"CWE-667\", 30], [\"CWE-346\", 30], [\"CWE-369\", 30], [\"CWE-610\", 29], [\"CWE-281\", 29], [\"CWE-521\", 29], [\"CWE-294\", 28], [\"CWE-444\", 28], [\"CWE-640\", 25], [\"CWE-134\", 25], [\"CWE-908\", 24], [\"CWE-285\", 22], [\"CWE-354\", 22], [\"CWE-674\", 22], [\"CWE-922\", 21], [\"CWE-494\", 20], [\"CWE-1284\", 19], [\"CWE-670\", 18], [\"CWE-829\", 18], [\"CWE-436\", 18], [\"CWE-1188\", 18], [\"CWE-191\", 17], [\"CWE-88\", 16], [\"CWE-459\", 15], [\"CWE-252\", 15], [\"CWE-662\", 13], [\"CWE-425\", 13], [\"CWE-338\", 13], [\"CWE-916\", 12], [\"CWE-913\", 11], [\"CWE-131\", 11], [\"CWE-834\", 10], [\"CWE-704\", 10], [\"CWE-91\", 10], [\"CWE-763\", 10], [\"CWE-682\", 10], [\"CWE-331\", 10], [\"CWE-29\", 9], [\"CWE-917\", 9], [\"CWE-193\", 9], [\"CWE-24\", 9], [\"CWE-80\", 9], [\"CWE-256\", 8], [\"CWE-924\", 7], [\"CWE-565\", 6], [\"CWE-212\", 6], [\"CWE-407\", 6], [\"CWE-776\", 5], [\"CWE-912\", 5], [\"CWE-470\", 5], [\"CWE-305\", 5], [\"CWE-73\", 5], [\"CWE-669\", 5], [\"CWE-36\", 5], [\"CWE-706\", 5], [\"CWE-359\", 5], [\"CWE-208\", 5], [\"CWE-259\", 5], [\"CWE-117\", 5], [\"CWE-681\", 5], [\"CWE-840\", 4], [\"CWE-772\", 4], [\"CWE-289\", 4], [\"CWE-703\", 4], [\"CWE-457\", 4], [\"CWE-749\", 4], [\"CWE-321\", 4], [\"CWE-275\", 4], [\"CWE-288\", 4], [\"CWE-1320\", 4], [\"CWE-15\", 4], [\"CWE-23\", 4], [\"CWE-248\", 3], [\"CWE-178\", 3], [\"CWE-614\", 3], [\"CWE-693\", 3], [\"CWE-204\", 3], [\"CWE-267\", 3], [\"CWE-90\", 3], [\"CWE-150\", 3], [\"CWE-672\", 3], [\"CWE-648\", 3], [\"CWE-942\", 3], [\"CWE-1263\", 3], [\"CWE-366\", 2], [\"CWE-1220\", 2], [\"CWE-308\", 2], [\"CWE-335\", 2], [\"CWE-280\", 2], [\"CWE-328\", 2], [\"CWE-113\", 2], [\"CWE-1336\", 2], [\"CWE-273\", 2], [\"CWE-1274\", 2], [\"CWE-379\", 2], [\"CWE-420\", 2], [\"CWE-201\", 2], [\"CWE-325\", 2], [\"CWE-272\", 2], [\"CWE-523\", 2], [\"CWE-98\", 2], [\"CWE-250\", 2], [\"CWE-1386\", 2], [\"CWE-841\", 2], [\"CWE-126\", 2], [\"CWE-268\", 2], [\"CWE-130\", 2], [\"CWE-261\", 1], [\"CWE-35\", 1], [\"CWE-760\", 1], [\"CWE-567\", 1], [\"CWE-197\", 1], [\"CWE-497\", 1], [\"CWE-1282\", 1], [\"CWE-265\", 1], [\"CWE-337\", 1], [\"CWE-538\", 1], [\"CWE-313\", 1], [\"CWE-641\", 1], [\"CWE-825\", 1], [\"CWE-837\", 1], [\"CWE-349\", 1], [\"CWE-112\", 1], [\"CWE-231\", 1], [\"CWE-402\", 1], [\"CWE-93\", 1], [\"CWE-788\", 1], [\"CWE-202\", 1], [\"CWE-76\", 1], [\"CWE-692\", 1], [\"CWE-539\", 1], [\"CWE-823\", 1], [\"CWE-691\", 1], [\"CWE-758\", 1], [\"CWE-263\", 1], [\"CWE-1230\", 1], [\"CWE-28\", 1], [\"CWE-95\", 1], [\"CWE-833\", 1], [\"CWE-664\", 1], [\"CWE-911\", 1], [\"CWE-547\", 1], [\"CWE-323\", 1], [\"CWE-590\", 1], [\"CWE-75\", 1], [\"CWE-1103\", 1], [\"CWE-115\", 1], [\"CWE-167\", 1], [\"CWE-1385\", 1], [\"CWE-297\", 1], [\"CWE-87\", 1], [\"CWE-353\", 1], [\"CWE-253\", 1], [\"CWE-644\", 1], [\"CWE-471\", 1], [\"CWE-1270\", 1], [\"CWE-544\", 1], [\"CWE-260\", 1], [\"CWE-830\", 1], [\"CWE-377\", 1], [\"CWE-789\", 1], [\"CWE-378\", 1], [\"CWE-393\", 1], [\"CWE-1285\", 1], [\"CWE-232\", 1], [\"CWE-372\", 1], [\"CWE-799\", 1], [\"CWE-1286\", 1], [\"CWE-264\", 1], [\"CWE-526\", 1], [\"CWE-303\", 1], [\"CWE-540\", 1], [\"CWE-636\", 1], [\"CWE-266\", 1], [\"CWE-278\", 1], [\"CWE-822\", 1], [\"CWE-839\", 1], [\"CWE-1390\", 1], [\"CWE-1241\", 1], [\"CWE-836\", 1], [\"CWE-645\", 1], [\"CWE-612\", 1], [\"CWE-915\", 1], [\"CWE-1392\", 1], [\"CWE-114\", 1], [\"CWE-1077\", 1], [\"CWE-316\", 1], [\"CWE-242\", 1], [\"CWE-550\", 1], [\"CWE-149\", 1], [\"CWE-1049\", 1], [\"CWE-1018\", 1], [\"CWE-1393\", 1], [\"CWE-620\", 1]];\n",
+       "        const data = [[\"CWE-79\", 4478], [\"Missing_Data\", 3250], [\"NVD-CWE-noinfo\", 2442], [\"CWE-89\", 1960], [\"CWE-787\", 1448], [\"CWE-352\", 1143], [\"CWE-125\", 885], [\"CWE-20\", 768], [\"CWE-862\", 694], [\"CWE-22\", 658], [\"CWE-416\", 616], [\"CWE-120\", 564], [\"CWE-78\", 548], [\"CWE-434\", 485], [\"CWE-200\", 470], [\"CWE-77\", 445], [\"NVD-CWE-Other\", 368], [\"CWE-284\", 357], [\"CWE-400\", 322], [\"CWE-287\", 294], [\"CWE-121\", 281], [\"CWE-863\", 257], [\"CWE-94\", 255], [\"CWE-502\", 251], [\"CWE-122\", 243], [\"CWE-476\", 243], [\"CWE-190\", 243], [\"CWE-918\", 215], [\"CWE-269\", 211], [\"CWE-119\", 189], [\"CWE-601\", 180], [\"CWE-306\", 155], [\"CWE-74\", 141], [\"CWE-798\", 141], [\"CWE-427\", 137], [\"CWE-770\", 132], [\"CWE-611\", 131], [\"CWE-285\", 123], [\"CWE-732\", 120], [\"CWE-276\", 116], [\"CWE-532\", 114], [\"CWE-126\", 111], [\"CWE-639\", 110], [\"CWE-312\", 102], [\"CWE-295\", 98], [\"CWE-668\", 98], [\"CWE-367\", 96], [\"CWE-59\", 96], [\"CWE-362\", 94], [\"CWE-522\", 93], [\"CWE-843\", 88], [\"CWE-319\", 86], [\"CWE-203\", 83], [\"CWE-307\", 81], [\"CWE-404\", 74], [\"CWE-401\", 71], [\"CWE-1333\", 68], [\"CWE-617\", 66], [\"CWE-209\", 65], [\"CWE-347\", 61], [\"CWE-345\", 60], [\"CWE-835\", 60], [\"CWE-755\", 60], [\"CWE-613\", 60], [\"CWE-415\", 58], [\"CWE-1236\", 54], [\"CWE-327\", 52], [\"CWE-552\", 52], [\"CWE-426\", 51], [\"CWE-326\", 49], [\"CWE-754\", 45], [\"CWE-824\", 44], [\"CWE-191\", 43], [\"CWE-23\", 41], [\"CWE-129\", 40], [\"CWE-665\", 40], [\"CWE-311\", 39], [\"CWE-290\", 38], [\"CWE-384\", 36], [\"CWE-908\", 36], [\"CWE-330\", 36], [\"CWE-281\", 36], [\"CWE-591\", 35], [\"CWE-73\", 35], [\"CWE-80\", 34], [\"CWE-1321\", 33], [\"CWE-1021\", 31], [\"CWE-697\", 31], [\"CWE-369\", 31], [\"CWE-116\", 29], [\"CWE-321\", 29], [\"CWE-521\", 28], [\"CWE-428\", 27], [\"CWE-288\", 25], [\"CWE-248\", 25], [\"CWE-640\", 25], [\"CWE-294\", 25], [\"CWE-346\", 24], [\"CWE-444\", 24], [\"CWE-134\", 24], [\"CWE-250\", 23], [\"CWE-354\", 22], [\"CWE-256\", 21], [\"CWE-822\", 21], [\"CWE-922\", 20], [\"CWE-674\", 20], [\"CWE-494\", 20], [\"CWE-24\", 19], [\"CWE-693\", 19], [\"CWE-670\", 18], [\"CWE-667\", 18], [\"CWE-95\", 18], [\"CWE-749\", 17], [\"CWE-201\", 17], [\"CWE-829\", 17], [\"CWE-359\", 17], [\"CWE-425\", 16], [\"CWE-436\", 16], [\"CWE-703\", 16], [\"CWE-259\", 16], [\"CWE-88\", 16], [\"CWE-823\", 16], [\"CWE-266\", 15], [\"CWE-305\", 15], [\"CWE-204\", 15], [\"CWE-252\", 15], [\"CWE-1188\", 14], [\"CWE-264\", 14], [\"CWE-1284\", 14], [\"CWE-459\", 13], [\"CWE-29\", 13], [\"CWE-35\", 13], [\"CWE-277\", 13], [\"CWE-338\", 13], [\"CWE-208\", 13], [\"CWE-92\", 12], [\"CWE-91\", 12], [\"CWE-682\", 12], [\"CWE-680\", 12], [\"CWE-610\", 12], [\"CWE-840\", 12], [\"CWE-131\", 12], [\"CWE-117\", 12], [\"CWE-916\", 12], [\"CWE-457\", 11], [\"CWE-36\", 11], [\"CWE-789\", 11], [\"CWE-267\", 11], [\"CWE-113\", 10], [\"CWE-497\", 10], [\"CWE-331\", 10], [\"CWE-280\", 10], [\"CWE-1386\", 9], [\"CWE-489\", 9], [\"CWE-328\", 9], [\"CWE-193\", 9], [\"CWE-184\", 9], [\"CWE-763\", 9], [\"CWE-691\", 9], [\"CWE-602\", 9], [\"CWE-377\", 9], [\"CWE-704\", 9], [\"CWE-257\", 8], [\"CWE-648\", 8], [\"CWE-297\", 8], [\"CWE-1220\", 8], [\"CWE-1336\", 8], [\"CWE-14\", 8], [\"CWE-286\", 8], [\"CWE-1287\", 8], [\"CWE-303\", 8], [\"CWE-917\", 8], [\"CWE-261\", 8], [\"CWE-93\", 8], [\"CWE-662\", 8], [\"CWE-275\", 7], [\"CWE-87\", 7], [\"CWE-1385\", 7], [\"CWE-681\", 7], [\"CWE-379\", 7], [\"CWE-834\", 7], [\"CWE-772\", 7], [\"CWE-912\", 7], [\"CWE-924\", 7], [\"CWE-923\", 7], [\"CWE-913\", 6], [\"CWE-1286\", 6], [\"CWE-614\", 6], [\"CWE-150\", 6], [\"CWE-289\", 6], [\"CWE-15\", 6], [\"CWE-538\", 6], [\"CWE-669\", 6], [\"CWE-788\", 6], [\"CWE-420\", 6], [\"CWE-27\", 5], [\"CWE-449\", 5], [\"CWE-274\", 5], [\"CWE-130\", 5], [\"CWE-1393\", 5], [\"CWE-325\", 5], [\"CWE-926\", 5], [\"CWE-598\", 5], [\"CWE-706\", 5], [\"CWE-942\", 5], [\"CWE-268\", 5], [\"CWE-927\", 5], [\"CWE-310\", 5], [\"CWE-1320\", 5], [\"CWE-620\", 5], [\"CWE-358\", 5], [\"CWE-453\", 5], [\"CWE-701\", 5], [\"CWE-644\", 4], [\"CWE-313\", 4], [\"CWE-316\", 4], [\"CWE-684\", 4], [\"CWE-90\", 4], [\"CWE-421\", 4], [\"CWE-349\", 4], [\"CWE-402\", 4], [\"CWE-253\", 4], [\"CWE-75\", 4], [\"CWE-366\", 4], [\"CWE-911\", 4], [\"CWE-940\", 4], [\"CWE-170\", 4], [\"CWE-249\", 4], [\"CWE-395\", 4], [\"CWE-833\", 4], [\"CWE-323\", 4], [\"CWE-424\", 4], [\"CWE-378\", 4], [\"CWE-440\", 4], [\"CWE-837\", 4], [\"CWE-197\", 4], [\"CWE-776\", 4], [\"CWE-407\", 4], [\"CWE-1390\", 4], [\"CWE-470\", 4], [\"CWE-140\", 4], [\"CWE-1004\", 4], [\"CWE-836\", 4], [\"CWE-540\", 4], [\"CWE-300\", 4], [\"CWE-232\", 4], [\"CWE-16\", 4], [\"CWE-302\", 3], [\"CWE-213\", 3], [\"CWE-304\", 3], [\"CWE-471\", 3], [\"CWE-842\", 3], [\"CWE-565\", 3], [\"CWE-807\", 3], [\"CWE-279\", 3], [\"CWE-176\", 3], [\"CWE-606\", 3], [\"CWE-548\", 3], [\"CWE-1077\", 3], [\"CWE-526\", 3], [\"CWE-792\", 3], [\"CWE-708\", 3], [\"CWE-805\", 3], [\"CWE-475\", 3], [\"CWE-83\", 3], [\"CWE-223\", 3], [\"CWE-202\", 3], [\"CWE-233\", 3], [\"CWE-124\", 3], [\"CWE-1391\", 3], [\"CWE-1392\", 3], [\"CWE-799\", 3], [\"CWE-183\", 3], [\"CWE-409\", 3], [\"CWE-167\", 3], [\"CWE-410\", 3], [\"CWE-413\", 3], [\"CWE-841\", 3], [\"CWE-98\", 3], [\"CWE-915\", 3], [\"CWE-643\", 3], [\"CWE-195\", 3], [\"CWE-399\", 3], [\"CWE-226\", 3], [\"CWE-394\", 3], [\"CWE-241\", 3], [\"CWE-146\", 3], [\"CWE-523\", 3], [\"CWE-1263\", 3], [\"CWE-244\", 3], [\"CWE-664\", 3], [\"CWE-337\", 3], [\"CWE-1258\", 2], [\"CWE-1104\", 2], [\"CWE-1299\", 2], [\"CWE-273\", 2], [\"CWE-694\", 2], [\"CWE-282\", 2], [\"CWE-653\", 2], [\"CWE-501\", 2], [\"CWE-1303\", 2], [\"CWE-178\", 2], [\"CWE-118\", 2], [\"CWE-1230\", 2], [\"CWE-96\", 2], [\"CWE-265\", 2], [\"CWE-272\", 2], [\"CWE-477\", 2], [\"CWE-364\", 2], [\"CWE-791\", 2], [\"CWE-372\", 2], [\"CWE-21\", 2], [\"CWE-473\", 2], [\"CWE-262\", 2], [\"CWE-696\", 2], [\"CWE-353\", 2], [\"CWE-61\", 2], [\"CWE-1270\", 2], [\"CWE-99\", 2], [\"CWE-212\", 2], [\"CWE-76\", 2], [\"CWE-308\", 2], [\"CWE-820\", 2], [\"CWE-260\", 2], [\"CWE-784\", 2], [\"CWE-549\", 2], [\"CWE-1285\", 2], [\"CWE-1295\", 2], [\"CWE-590\", 2], [\"CWE-636\", 2], [\"CWE-37\", 2], [\"CWE-1022\", 2], [\"CWE-460\", 2], [\"CWE-173\", 2], [\"CWE-215\", 2], [\"CWE-86\", 2], [\"CWE-270\", 2], [\"CWE-544\", 2], [\"CWE-1327\", 2], [\"CWE-825\", 2], [\"CWE-1234\", 2], [\"CWE-334\", 2], [\"CWE-1274\", 2], [\"CWE-320\", 2], [\"CWE-81\", 2], [\"CWE-757\", 2], [\"CWE-1288\", 2], [\"CWE-196\", 1], [\"CWE-567\", 1], [\"CWE-158\", 1], [\"CWE-821\", 1], [\"CWE-1039\", 1], [\"CWE-230\", 1], [\"CWE-28\", 1], [\"CWE-1260\", 1], [\"CWE-168\", 1], [\"CWE-771\", 1], [\"CWE-456\", 1], [\"CWE-385\", 1], [\"CWE-388\", 1], [\"CWE-939\", 1], [\"CWE-1281\", 1], [\"CWE-41\", 1], [\"CWE-25\", 1], [\"CWE-437\", 1], [\"CWE-231\", 1], [\"CWE-112\", 1], [\"CWE-530\", 1], [\"CWE-647\", 1], [\"CWE-446\", 1], [\"CWE-263\", 1], [\"CWE-356\", 1], [\"CWE-332\", 1], [\"CWE-555\", 1], [\"CWE-283\", 1], [\"CWE-1325\", 1], [\"CWE-318\", 1], [\"CWE-329\", 1], [\"CWE-115\", 1], [\"CWE-1103\", 1], [\"CWE-539\", 1], [\"CWE-914\", 1], [\"CWE-551\", 1], [\"CWE-271\", 1], [\"CWE-441\", 1], [\"CWE-830\", 1], [\"CWE-355\", 1], [\"CWE-1224\", 1], [\"CWE-50\", 1], [\"CWE-941\", 1], [\"CWE-790\", 1], [\"CWE-488\", 1], [\"CWE-683\", 1], [\"CWE-921\", 1], [\"CWE-412\", 1], [\"CWE-672\", 1], [\"CWE-138\", 1], [\"CWE-177\", 1], [\"CWE-1050\", 1], [\"CWE-758\", 1], [\"CWE-780\", 1], [\"CWE-419\", 1], [\"CWE-547\", 1], [\"CWE-1250\", 1], [\"CWE-760\", 1], [\"CWE-1204\", 1], [\"CWE-1246\", 1], [\"CWE-351\", 1], [\"CWE-1335\", 1], [\"CWE-1231\", 1], [\"CWE-826\", 1], [\"CWE-299\", 1], [\"CWE-293\", 1], [\"CWE-406\", 1], [\"CWE-1125\", 1], [\"CWE-391\", 1], [\"CWE-1112\", 1], [\"CWE-762\", 1], [\"CWE-506\", 1], [\"CWE-1283\", 1], [\"CWE-641\", 1], [\"CWE-690\", 1], [\"CWE-1282\", 1], [\"CWE-342\", 1], [\"CWE-278\", 1], [\"CWE-237\", 1], [\"CWE-1173\", 1], [\"CWE-524\", 1], [\"CWE-839\", 1], [\"CWE-144\", 1], [\"CWE-258\", 1], [\"CWE-82\", 1], [\"CWE-324\", 1], [\"CWE-405\", 1], [\"CWE-1326\", 1], [\"CWE-19\", 1], [\"CWE-1334\", 1], [\"CWE-1342\", 1], [\"CWE-657\", 1], [\"CWE-778\", 1], [\"CWE-612\", 1], [\"CWE-1241\", 1], [\"CWE-671\", 1], [\"CWE-645\", 1], [\"CWE-686\", 1], [\"CWE-392\", 1], [\"CWE-1319\", 1], [\"CWE-1018\", 1], [\"CWE-1279\", 1], [\"CWE-291\", 1], [\"CWE-114\", 1], [\"CWE-242\", 1], [\"CWE-550\", 1], [\"CWE-756\", 1], [\"CWE-149\", 1], [\"CWE-534\", 1], [\"CWE-298\", 1], [\"CWE-148\", 1], [\"CWE-210\", 1], [\"CWE-227\", 1], [\"CWE-84\", 1], [\"CWE-710\", 1], [\"CWE-925\", 1], [\"CWE-1049\", 1], [\"CWE-1047\", 1], [\"CWE-1272\", 1], [\"CWE-1253\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1011,10 +1007,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:44.112073Z",
-     "iopub.status.busy": "2024-09-13T08:24:44.111756Z",
-     "iopub.status.idle": "2024-09-13T08:24:44.314136Z",
-     "shell.execute_reply": "2024-09-13T08:24:44.313530Z"
+     "iopub.execute_input": "2025-02-02T04:23:50.870916Z",
+     "iopub.status.busy": "2025-02-02T04:23:50.870483Z",
+     "iopub.status.idle": "2025-02-02T04:23:51.068676Z",
+     "shell.execute_reply": "2025-02-02T04:23:51.068123Z"
     },
     "tags": [
      "remove-input"
@@ -1087,10 +1083,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:44.316403Z",
-     "iopub.status.busy": "2024-09-13T08:24:44.316038Z",
-     "iopub.status.idle": "2024-09-13T08:24:44.320076Z",
-     "shell.execute_reply": "2024-09-13T08:24:44.319572Z"
+     "iopub.execute_input": "2025-02-02T04:23:51.070597Z",
+     "iopub.status.busy": "2025-02-02T04:23:51.070264Z",
+     "iopub.status.idle": "2025-02-02T04:23:51.074186Z",
+     "shell.execute_reply": "2025-02-02T04:23:51.073749Z"
     },
     "tags": [
      "remove-input"
@@ -1100,7 +1096,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:24:44.317098**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:23:51.071309**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1132,7 +1128,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVE2024.ipynb b/CVE2024.ipynb
index ba07e55571..0691f8051b 100644
--- a/CVE2024.ipynb
+++ b/CVE2024.ipynb
@@ -16,10 +16,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:49.151205Z",
-     "iopub.status.busy": "2024-09-13T08:24:49.151037Z",
-     "iopub.status.idle": "2024-09-13T08:24:49.808078Z",
-     "shell.execute_reply": "2024-09-13T08:24:49.807445Z"
+     "iopub.execute_input": "2025-02-02T04:23:55.987805Z",
+     "iopub.status.busy": "2025-02-02T04:23:55.987636Z",
+     "iopub.status.idle": "2025-02-02T04:23:56.639087Z",
+     "shell.execute_reply": "2025-02-02T04:23:56.638524Z"
     },
     "tags": [
      "remove-cell"
@@ -102,10 +102,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:24:49.810415Z",
-     "iopub.status.busy": "2024-09-13T08:24:49.810157Z",
-     "iopub.status.idle": "2024-09-13T08:25:09.518322Z",
-     "shell.execute_reply": "2024-09-13T08:25:09.517750Z"
+     "iopub.execute_input": "2025-02-02T04:23:56.641268Z",
+     "iopub.status.busy": "2025-02-02T04:23:56.640830Z",
+     "iopub.status.idle": "2025-02-02T04:24:20.619911Z",
+     "shell.execute_reply": "2025-02-02T04:24:20.619344Z"
     },
     "tags": [
      "remove-cell"
@@ -228,10 +228,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:09.520957Z",
-     "iopub.status.busy": "2024-09-13T08:25:09.520594Z",
-     "iopub.status.idle": "2024-09-13T08:25:09.528461Z",
-     "shell.execute_reply": "2024-09-13T08:25:09.527921Z"
+     "iopub.execute_input": "2025-02-02T04:24:20.622196Z",
+     "iopub.status.busy": "2025-02-02T04:24:20.621982Z",
+     "iopub.status.idle": "2025-02-02T04:24:20.630856Z",
+     "shell.execute_reply": "2025-02-02T04:24:20.630404Z"
     },
     "tags": [
      "remove-input"
@@ -241,7 +241,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **28155**<br />Average CVEs Per Day: **109.98**<br />Average CVSS Score: **6.86**"
+       "Total Number of CVEs: **40704**<br />Average CVEs Per Day: **102.27**<br />Average CVSS Score: **6.67**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -276,10 +276,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:09.530809Z",
-     "iopub.status.busy": "2024-09-13T08:25:09.530473Z",
-     "iopub.status.idle": "2024-09-13T08:25:09.540033Z",
-     "shell.execute_reply": "2024-09-13T08:25:09.539559Z"
+     "iopub.execute_input": "2025-02-02T04:24:20.632609Z",
+     "iopub.status.busy": "2025-02-02T04:24:20.632428Z",
+     "iopub.status.idle": "2025-02-02T04:24:20.644071Z",
+     "shell.execute_reply": "2025-02-02T04:24:20.643616Z"
     },
     "tags": [
      "remove-cell"
@@ -311,10 +311,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:09.542180Z",
-     "iopub.status.busy": "2024-09-13T08:25:09.541860Z",
-     "iopub.status.idle": "2024-09-13T08:25:10.163367Z",
-     "shell.execute_reply": "2024-09-13T08:25:10.162752Z"
+     "iopub.execute_input": "2025-02-02T04:24:20.646077Z",
+     "iopub.status.busy": "2025-02-02T04:24:20.645647Z",
+     "iopub.status.idle": "2025-02-02T04:24:21.434469Z",
+     "shell.execute_reply": "2025-02-02T04:24:21.433846Z"
     },
     "tags": [
      "hide-input",
@@ -324,7 +324,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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CCCGEEEIIIYQQQgghhBBCiAJIOtSFEEIIIYQQQgghhBBCCCGEEEIIA6RDXQghhBBCCCGEEEIIIYQQQgghhDBAOtSFEEIIIYQQQgghhBBCCCGEEEIIA6RDXQghhBBCCCGEEEIIIYQQQgghhDBAOtSFEEIIIYQQQgghhBBCCCGEEEIIA6RDXQghhBBCCCGEEEIIIYQQQgghhDBAOtSFEEIIIYQQQgghhBBCCCGEEEIIA6RDPZ02bUrj5taHwMAPUKun0qdPpUz3XbOmI2r1VD7+uIHxvr8yuLlC4AJQ/wR96ulvL1kYNg1Xtscsg6MToXKJzI93ZKLh4+SUs7MZ27Y5ExpahdjYanh5VaRRI6u07ba2KlaudCQgoDKxsdW4fduF8ePtjfPlBuMxZ9u2CoSG1iU2tj5eXjVo1MgmbXu/fvYcO1aZ0NC6qNUNqVfPOs9iAShUCJYuBT8/iI2FCxegcWPt9pIlYdMmCAyEmBg4ehQqVzbOd7epB24LIXAfqP+EPq31t2/6QlmvuxxdrL9PlTJwYAGEuEHEUTi3CtoZ7/TW/D7m+PlZEhtrxYULFjRurNLbZ948M548sSI21orjxy2oXFmVydFyZ8KESty82ZWIiP5ERPTH07Mj3bo5pW0/fbo9avVgvWXNmkZG+/42rcFtPwT6gzoR+vTW396vLxw7AqFPle31DFzD74+D0ycg4rmyj51d/sbz80/w4C7ERsKzJ3BgL1SrlsN4WoHb7xDoA+pY6NMrXTx94JgbhAYo2+vV1d9evpyy3tAyoF82Y6kEbh9A4HxQr4A+dfS3lywMm4Yq22N+gKOuGdNlx8KwdTgEfQPRi+HaZ9A/h+lym5bgtgsC/wV1JPTpod1mZgaL5oHXRYgOUvbZshZKOekfw8EBfv0FIh7Di0fwyyqwtc1hPG3AzU1J19Rq6NMn4z7z5sGTJ0q6ePx4xnTv4UPls7rL9Ok5jKcpuG2EwCugfgR9uuhvn/MJ3DkF0Xch7BYc3wFN6+vvc3AD+F+El/fgyVXYugxKOeYsnhnN4a8REDkFgj+C/f2galHtdgcrWNEJ7o6D2Kng7wrLO0IRC/3jlC0MfwyAmKnKcb5vB6ZGSB4fPiyOWu2YYVm1qjAALi6m7Ntnx7NnJYiIKMGuXXaULGm84mObJuC2FgLPg/o+9Omkv33OJLjjDtE3IewqHN8MTdNdOw1qgsdmeHENQv+CtfPB1oYcMUZe2qAqePwILw5D6CFYOw1s87b48Ua0aQFuOyDwNqjDoM/b2m1mZrBoDnidh+gAZZ8tP2VMe1JZWMDfZ5Xj1KttnPjmzCmFWt1Qb7lzp2badhcXC/btc+HZszpERNRj166KlCxpZpwvpwDmo43AbSUEngC1F/Rpn/m+a2Yp+3w8TH/9w6PKet1l+picxZPew4dOqNVlMiyrVtlTvrypwW1qdRkGDMibi+lVZXhbW1i5EgIClO23b8P48cb7fmNcXwe3g78XvHwCT7xh65rMr8HsUuqAZQkNrUlsbG28vKrQqJG1Nr5FTnh5VSE6ujaBgTXYsqUspUoZ7/rSZWICX39thq+vUp948MCSWbP0v0upc5kTGGhFTIwVR48ar07Rpgm4rYfAi6D2hT6d9bfP+RjuHIfofyDsbzi+LWO+9fBP5bO6y/QJOYtnRiFT/ipuTqSTBcGOFux3MKNqugKCiynsczDjmaMFEU4W7HIwQzcrb2uhQu1saXBpbJ773025vkzw8zMjNtaMCxdMM9QBU61ZY4Jabc7HH+e+rDGjEvzVEiK7QHBH2N8QqqYr755uBuq39Zc1OvnSyNIZt6cuJdKV1XIiq7QwVfPmFpw8WZzoaGciIpw5e7YEVlaZHzM7jJFXALzdBi5th9i/IOw87F9mnPjyu5yqa86c0qjVzfSWO3f0K6HNmxfi5MnqREc3JiKiMWfP1sDKKm/aMx4+LINaXSHDsmpVURwcTFixoih375YmNrYc/v5lWL68KEWK5E0sqbLKKwDmzHHkzp2qREfXJiysJsePV6Rp07wrJL+q/VKtrmFwmTataBZHfT1t2oDbQQh8DOqULOrIgRAbA8c9MtaRGzQAj2PwIgxCQ2Dt2pzX2dMrSOWwJnRmKqtpxzsGt/fjQ6aymkporzcrbOnPRD7gWyazjPf5hg4MwoLsJ47GaodvXhFOfgzRSyHiRzj7CViZZzscJV1eDYFnQO0NfTpmvu+aOco+Hw/XrivvDL/MB18PiL0OD9xh7kdgnoNYoGC1zQG0qQZun0DgclBvhT4N9bfbWsLK4RCwDGJ/gdsLYXwWeduRTw0fJ6eySpsBfv65GA8eKGnzs2dlOXCgJNWq5fCPY0BB6leaUQL+qgyRtSC4JuwvD1Ut9fdxNIOtZSGoBkTXhmtVoH8R/X2+LAkXKkFMbXhRK/txpMXTHv6aDJHzIXgO7B8JVdP93y3NYFU/CJ0LUd/A7yOgZCH9fdSLMy6DjdTvNmFCFW7efJuIiEFERAzC07ML3bo5a+OzNGHVqiaEhg4gKmoQv//ehpIljVQoTOdV5R5HR3O2bq1EUFADoqMbc+1abfr3dzDa948aNQqVSsWECRkrSRMnTkSlUjFq1CijfV92SId6Ora25ty8GcLEiaey3K9v38o0b16KwMBo436/Bdx8DBN3Gd5+YDy4FIc+a6HBAvAPgxOTwcZAZW5KB6VTwljs7U24cKE8iYlquncPoGZNXz799BkvXiSn7bNkiSPduhVi2LAn1Kjhy7JlYaxa5USvXoWyOHJO4zHlwoWqmngeULOmN59++pgXL5LS9rG1NeH8+WimTw80+vcb8ssv0LkzDB8OdeqAhwecOAHOmrTvwAFwcVEK0w0agL+/st0mhw3/umyt4KYPTFya+T5HL4FTX+3y3jz97X98B2am0GEKNHpfOd4fi8Ax9/UJAH75xZzOnU0YPjyROnXi8fBI4cQJy7Tf5/PPzZg82YwJExJo1iyemBg4dswCS8usj5sTjx+/ZMYMLxo18qBxYw9OnXrGwYOtqVlTm3OvW+eDk9PBtOXzz28a7fttbeGmF0ycnPn28xdg+peZH8PGBtyPwYJFBSOea9dh9DioUQe69gCVCjyOKA2fOYrnFkz8JJPtNnD+IkyfbXh7wGNwqqi/fDUfoqLgqEc2Y7GAm4EwcY/h7QfGgUsx6LMeGnyvSZcn6qfLW4dDtZLQex3UWQT7bsLu0VC/TPZiAc1v8w9M/DTjNhsbaFgP5n8PDdtA/2FQrQq4/aa/3/ZfoFZ16NwXeg6Ct1rBuhXZjyUtnpswcaLh7Z9/DpMnw4QJ0KwZmuuaDNf17Nng5KRdVq7MYTw2cNMbJs4yvP2eL3z0FdTpAq3fAb8A8PgViuukc6c9YdCHUK09vDMeKpWD39fkLJ62ZWH1dWj+K3TeBeam4DEIbDR1JudCyjLtNNTeCKMOQzcX2KDTmWKigsMDwcIUWv4KI4/AqDrwdZucxaSrSZPnODmFpC2dOr0AYM+eOGxswMPDHrUaOnR4QatWL7CwgEOH7FEZqT3O1hpu3oWJ8wxvv+cHH30NdXpC63fBLxA8Nmn/XqVKwokt8MAfmg2AbmOhVhXY/F0O48llXlqqGJxYAg8CodkE6PYZ1KoIm7/IWTwFSVra83nGbTbWmrTnB2jYHvqP1KQ92w0f6/t58OSp8WP855+XODl5pS2tW/+rxGdjgodHFc25fJ9Wrf7FwkLFoUOVjHcuF7R81Bpu/gsTF2S9X98O0LwuBAYb3j57FTi11y4rd2Y/FkOaNHmGk9OTtKVTpxAA9ux5SUBAst42J6cnfPVVBFFRKRw9GmecANJ5VRl+yRLo1g2GDYMaNWDZMli1Cnr1yvKwr80Y19fp8zBoDFRrCu+MgkoV4ffNuY9NqXNV1tS5HlKz5r98+mlQWh3QxsaEhg2tmT//GQ0b3qd/f3+qVbPEza1C7r/cgOnTzXB1NeOjjxKpUSOe6dMT+fxzMyZNMk3b58ABS1xcVPTpE0+DBvH4+6s5ccLCOHUuG7h5BybOMbz93kP4aC7U6Q6tB4HfY/DYql/OAJi9BJyaapeVW3IWT1sLE1bHJNM8NJHOzxMxV4FHMXNsNGmbjQo8ilmgBjo8T6RVaCIWwKGi5qQmf54Japyexust62OS8U1SczUx9w0Kv/xiqqkDJlOnThIeHmpOnDBNu75S9e2ronlzEwIDjdOI0bYorPaH5p7Q+S8wNwGPpmBjqr/fukfgdEK7fH5Xu21XkP42pxPgHgJnnkNIQu5jzCotBKUz3d29OB4e8TRt+owmTZ6xalU0KSm5/24wTl7RvxNsWwCbDkC9gdBqBOw4Ypz48rucmt4//8Ti5HQ9bWnd2jttW/PmhXB3r4aHRwRNm96mSZN/WLUq2Gh/q/SaNHmCk1NA2tKpk1Kw2rMnFmdnU5ydTZk2LYzatZ8walQo3bpZs2FD8bwJhlfnFQD37sXz0UdPqFPnHq1b++Dnl4iHhwvFi5tmceScxvPq9ksnp3t6y+jRT0hJUbN3b1Suvz+tXPiR4e2ffw6TJ8EEV2jWXFNHdtfWkUuVghPH4YGPsr1bd6hVEzZvynVoQMEphzlSjrq0JoTHBrc3xHBPqJoUHuDFQdayia9xZxvlqEYn3s12DMZoh29eEdw/Ao870PR7aPIdrDoLKTnIzmxtNOny/Kz369sRmtfLmC5Xd1HqDuPnQq3e8Ml3MGEQLJiS/VigYLXNgdJhfvMRTNxqePuSIdCtLgz7GWrMgGXHYNUI6GVgsNiUrmDEbhMg67QZ4Nq1eEaPDqVGjSd07Rqs1Pc8HHNU3zOkIPUrtS0Eq59D8wfQ2ReljFqRtDIqKJ3p1Syhtx/UuQf7ImB3eaiv00dsoYI9EbDmec5jAWhbCVZ7QvNV0Hmdpm3ufW3bHMDS3tCrBgzcBm3XgHMR2Dcy47FG7QKnr7XLgdu5iy3V48exzJhxg0aNjtK48VFOnQrm4MG3qFlTGUG3dGkjevUqzcCB52jb9gTOztbs2/eWcb7cgKzKPVu3VqJaNSt6975HnTq32LcvjN27q1C/vhEqXBply5blt99+4+XLl2nr4uLi2LFjB+XKlTPa92RX3tw2/j/M3d0Pd3e/LPdxdi7EypXt6dp1H4cP9zXu93sriyFVSkILF6g1H7yDlHWuv8HTRfBeY9jgqd23Xhn4tCM0/k7ZbgzTpxcjICCJMWOC0tb5+SXq7dOypTVbtkRw9qySUaxfH8748fY0bWrNoUPGvflg+nRHAgISGTPGXyce/Vrtr7+GAVC+vBFuH38FKyt45x2ls/zcOWXdvHlKQ5urK2zdCi1aQK1a4K35G7u6wtOn8N57sGFD7r7f/bKyZCU+EYLDDG8rZgdVy8LY7+CWr7Juxs8wsR/Urpj5516X8vuY0qdPAufOKbXKefOS6NXLFFdXM2bPTmLKFDO++SYJNzdl+4gRCQQHW9G3rym7diVndfhs++OPJ3rvZ826hatrJZo3L4a3dyQAsbHJBAfnTcOt+zFlycyvmkbS8uUz32e5pgO0rRHyTmPEs/4X7Wt/f5g1B7yuQ4UK4OubzXg8lCXTeDQN+uUzyT9TUiA4XcWiX2/YvU+prGYrljvKYkiVEtCiItRaAN6aziHX3fD0G3ivEWy4qKxrWVFZf+WR8v5bD/ikPTQqCzcM1x0zj+e4shgSGQld+uqv+2gaXDkDZcsolZnqVaF7Z2jcFq79rewz6TM48jtMmwlB2ezkcndXlsxMmQLffKOMYgcYMUL52/TtC7t0CvlRURn/ZjnhfkZZMrPzoP77qfNh3HtQtwacuqCsW6aTHj8KhEVr4MB6ZRReUhLZ0j3djRijDkPIZGjkCOcew+1QGHBAu903HGb+Cb/2VEagJ6uhS0WoWQw6/QbPYuHmM5h9Dr5rB3PPQ2IuGupCQ9XoViNnzLDgwYMkzp5NpHNnCypUMKVBgzCiopR9Ro6M5MWLEnToYMHJk7lvSXb/U1kys/OQ/vupC2HcIKhbDU5dhJ7tITEJJs7VVvYmfAW3Dis3Qvg8ymY8ucxLe7bUxLNUJ54f4dZmqFQafN7M/X15wv2EshgSGQVd+uuv++hzuHISypaGAJ3/d7dO0KU9vDMS3k43sjO3kpLUBAdnvEhbtbKlQgULGjS4Q1SUcsGMHOnHixf16NChMCdP5r7htMDlo+eVJSvOJWHlF9B1AhxeZXifqFgIzmXjhSGhofoJ14wZVpq0Jx6A4GD97f36WbN790tiYozd7PXqMvzs2dCyJWzZAmfPKtvXr1dGqDdtCocOZX7s12WM62uZzo1fjx7DomVw4Nec5V26pk8voalzaQssunXAyMgUunR5qB/fR4FcuVKFsmXNCQjQry/mVsuWJhw8mMyRI8o54u+v5r33Umja1ARIpkoVFS1amFCrVhze3sr54uqayNOnVrz3nikbNuSuTuF+Vlkys9NN//3Ub2HcYKhbHU7p1NejYiA4NFehANA9TP/3HRWeRIiTJY3MVZxLUNPKQkUFU2gQkoQmK2dkeBIvnCzoYKHiZIKaRED3kjMD+liZsDIm9/Uv5fpS0adPMufOKQHMm5dCr14muLqaMHu28sXOzrBypSlduyZx+LBxmqm6X9F/P8oLQjpBoyJw7oV2fWwyBGdSpIlLgTidbcUtoEMxGOtllBBfmRYuXWrHihXRfPedNp+6dy8XF3Q6uc0rTE1h+XT4bAls3K9dfyebeVZm8rucmp5SzjCcpi1dWp4VK4L57jtte9m9e3nTlgCGzh07HjxI5OxZ5TsHDAhJ2+brm8TMmS/49dcSmJpCsnGbVoBX5xUAO3eG672fOvUJ48YVpW5da06dMnZ74avbL4OD9X+IPn0Kc/p0LA8f5j7femUd+WP45ludOvJICH6qrSP37AmJicpN62l1Cle45QWVKoGPT+7iKwjlMHMseZtRHGcHzeiWYXsJytCIjmzneyawUG9bPC/x4lza+yjCuMk5GtMp/WFeyRjt8EsHwIrT8J1OG9a9Z9kORYnnnLJkxbkkrJwJXT+Aw+lu/D92XllSPXwMP1QE18HwWbqZ1V4rngLUNgfg7qUsmWlZBbach7Oam+PWn1FGqDd1gUN/a/erVw4+7Q6N58DTHA7mMORVafP69dq0zt8fZs16gZdXaSpUMMPXN/f5e0HqV+quXz1gVACE1IJGNnBO87dvaQOugXBF01/67TP4pLiyzw1NFjpXc/6MzOXg5+6/6L8ftQtC5kKjMnDuIRSxgrFNYMgOOK1JY0fvgrufQ7NycFmnbSn8JQTnvgkhgz/+0G8wmjXrJq6uVWjevDiPH8cydmwlhgy5wOnTyo8yevQl7t7tRbNmxbh82fiV9qzKPS1bFsLV1Y8rV5Q/5rffPuGTT5xo1MiWGzdijfL9DRs2xMfHh3379jF06FAA9u3bR7ly5ahYsWLafvHx8Xz22Wf89ttvREZG0rhxY5YuXUqTJk0AOHPmDO3bt+fEiRNMnz4db29v6tevz6ZNm6iWgykBZYR6NqlUsG1bNxYvvoq3dx60LmXBUlOvjNM5j9VqiE+C1joz01ubw47Ryt1IwZHG+/7evQtz9epLdu8uTXBwFa5fr8i4cfZ6+3h6vqR370I4OyvBtmtnQ9WqFnh4GLdwrMRjx9WrMezeXZHg4Dpcv16dceOKGf17XpeZmbLEpaszvXwJrVtr7zTV3a5WQ3y8sv1NaFcfgg/C3V/hp6lQVGcalecRcNcfRnQFGyulcjy+j9JpcO3f3H+38vuoDPw+alq3NqFiRRWlSqk4cUJbqYmMhMuXU2jRIm+TKhMTFYMHl8XW1oyLF7XX9dCh5QgJ6cutW91YsKAO1tbGv3P6v8rGBkaPVDoAAgLyOxpo2AAa1IMNm4173LR0Wafcm5Yuu2jXeT6EwQ3AwUbJRwY3BCszOHPfuPEYYldEqcSERyjvWzSFFy+0nekAJ04r+zRrbPgYOVWxoubuep1OAuW6Vm4w0jVjBoSGwvXrMG2akgblNXNz+GCI8tvczKTS4WAHQ/uC57XcdUikstPkBWFZtK/ZWUJkgtKZDtDCGW6FKJ3pqY49VParZcSBJubmMGyYNRs3KrUZS8vUfErbcBIXpyYlBVq3Nt60ZNmJ74PBEB6pjGoHsLSAhET9O6dfan7b1kY+n1NllZdamkNCUrp44jXxpHtcxH9dWtqjUxYtWQLWL4PhE5Rps42tShVLAgNr4+NTi19/rUDZssp5amlpksW5bPxZlIwhr/NRlUoZUbh4M3hn0Sg7YwyE/gnXd8G0UXmTNitpjw0bNxpuVWvY0JwGDSzYsCEHrW6v4VVleABPT+jdWztivV07qFpVGcmeHwxdX7oc7GHoQPD8K/d5V+/eRbh6NZbdu8sRHFyT69erMG5c1tNX2dmZkpKiJjzc+L02np4pdOxoQpUqyvCWunVVtG5twtGjSgNm5nUupc7xJpmbwwfvavKtdDdnzpgAodfg+iGY9r7xri07zaifME17riUq1IBO8kecGlKA1paGf4/eViYUM4FNsbn/+2VdB1SCVdpYTFm8OCXtxvO8YKcpt6e7B4GhzkpH+602sKAaWGdxmoworXTA/54Hs6ykTwtLlDCheXNLnj1L5sKFEjx9WoozZ0rQqlXeDxZI9aq8omENKOOopEfXd8GTk3DkJ6hlpMfa6SoI5dQqVawIDGyAj089fv21EmXLKn+LEiXMaN68EM+eJXLhQk2ePm3ImTM1aNXqzZQxlN/Glo0bM293s7MzITIyJU860yH7eYW5uYoPPihKeHgyN2++zHS/nMfz6vZLXSVLmtKjRyE2bAg3eizpvU4d2dISEhLS1Sk0P5Ox2w/zqxzWgUH4cptHZGxwNMOctxnFKXYTy6sbtm2xozL1eIxxG1hepx2+RCFlhPqzaLgwTel8PPMJtMr8CbK5olLBtkWweCN4P3i9z9gVgrCIvIknu/KqbS6V533o3QCcNZ2v7WpAVSfw+Ee7j7UF7HBVRrkH5+Hv8qq02cZGxejRhfD1TSQgwHg3y2Umv/uV7DRl3TCd/6pnLAy2BwdTUAGD7cDKBM4YvxspYzyaUfBhmnaJRqXBwgxO6CQj/4aA/wtoke6m+NX9lM74y5NgdJO8iU/pqyiv6asIoVGjolhYmHLihLYQ+u+/kfj7x9CiRRbz9udCZuUeAE/PaAYPLoqDg6nSzj24KFZWJpw5Y8STBhgzZgybNmmnZ9m4cSOjR4/W2+fzzz9n7969bNmyhevXr1O5cmW6du1KWJj+SJiZM2fy448/cvXqVczMzBgzJmfPs5MO9WyaPr0JSUkprFjx96t3NrK7T8H/OSzsA/bWytQUn3eGsg5Qyk6739IB4OkLbka6azqVi4s5rq4O3L+fQNeuj1iz5gUrVjgyYoT2yydNCsbbO57AwCokJFTH3b0sEycGc+6c8QvILi6WuLqW4P79eLp2fcCaNSGsWFGWESOMND95NkVHK41ts2crhWMTExg6VCkQlyoFd+8qd58tXAj29krG+vnnULassj2vuV+GEQug4ycw/WdoW1957qvutDKdpkKDKhDlDnHHYeogZbracCNkZMrvk8zs2WY6v48pLVqYUKqUCicnpUElOFj/jtfgYDVORnr+Y3q1a9sRFdWf+PgB/PxzY/r1u8CdO0rCv2OHP8OGXaZ9+9MsXHiH4cMr8OuvzfMmkP8Q1wkQ9QJiIqB7V+jcXbmzOr+NHQned+DiK0aeZtfdYGWKpIW9dNLlTpp0WaeTbdAmZVvYIohfAmsHQ78N4GOEkUlZsbSE7+bBzt+VEeAATo7wLN33JidD2AtlmzGlXrvp70gODkbvul6xAt59F9q3V54N9+WX8P33xo1FV4+OEHUH4u7DJ+Og81B4/kJ/n0VfaJ+zXs4Z+ozN/feqgGUd4bxmZLohxaxhdktYd0O7zskWgtN1PgZr2jOcjNhO17evJfb2KjZvVlq9L11KJCZGzXffFcLaWung++GHwpiZqShV6s0VIXu0h6gbEPcPfDIKOo/S/r1OXQSn4jBtnJKv2heBRZ8p20rlQZ3iVXnpqevgVBSmvQvmZmBfCBZpnrNcKv/u+XvjLC3huzmwc6827QHYvBp+3gTXbhj/Oy9fjmHUKH+6dfPB1fURFStacO5cVQoVMuHSpRhiYlL47rvSWFursLEx4YcfSmvO5YI1Ydebykenj1E6WldkMi0/wIod8O7n0H4srP0dvhwH32cy3WNu9O1rjb29CZs3G26oHTvWFm/vRC5eNP5oQ3h1GR5g0iRlhqnAQKWB291dGTWWOqL9Tcrs+gLlWevRARDmC+XKQJ+huf8+FxcLXF2LaeqAvqxZ85wVK5wZMcLwMBFLSxXffefEzp3haTNCGNOiRUn89lsyd+9akpBgxd9/W7JsWRI7dii9RHfvqvH3T2HhQjOdOpcZZcsqdY43oUcHiLoFcXfgkzHQeYR+OWPFFnh3MrQfCmt3wpcfwvczcv+9KmCZnRnn41O4naTUqS4lphCjhu+KmGKtUqbZ/KGIGWYqFaVMDP8eY21MOBafQqAR/nzK9ZXC7NkmOteXihYtVGl/j+nTTZT0aEUezY2N5repCefD4LZO3XbHExh2E9pfhoU+MNwZfq2f+XHGllE+E5cHoaZPC11clPxp7twirF8fQ7duoVy/nsDJkyWoXPnN5F2vyitcNI+vmusK36yHnh/Bi0g4swEcihj+TE7ldzn18uVoRo3ypVu3u7i6+lGxoiXnztWkUCETXFyUVvm5c0uzfv0zunW7y/XrMZw8WYPKlfPg+XXp9O1rozl3DDfcFCtmwuzZ9qxblwfD6TReN6/o0aMwUVG1iIurzSeflKBzZ1+ePzd+L//rtF/qGjnSjqioFPbty7vfKFWWdWRNffzUKWW/adM0dRx7WKQZpG3s9sP8KIdVoxGOlOU8Bw1ub8cAnuCLD1k3bL/NaCaxlPEsIIE4PMiiYJsDr9MO76K5wX3u27D+PHRbBdcfwcnJWT+bOqemj4OkZFjx6+vtX6kcTBoKa3cbP5acyKu2uVSTtoH3E+UZ6wkbwX2a0nF+Tue+jaVDlI53t+t5E0OqzNJmV9fCREWVIyamPN2729C5c/AbaTfNz34lFbDMGc7HwO147fpB/spU8GG1IL4OrC0D/fzAJ2+qfdp4VLCsN5x/CLc1abFTYeXmgoh0N4EGRynbUs0+BoN+VaaN33sLfuoHk1oZL7bate2JihpEfPy7/PxzU/r1+5M7dyJxcrImPj6ZiIj0s628xMnJ+M9Rz6rcAzBo0H3MzVWEhTUmPr4Ja9dWpF+/+/j4xL/iyNkzbNgwzp8/j7+/P/7+/ly4cIFhw4albY+JiWHNmjUsXryY7t27U7NmTdavX4+1tTUb0k0H/e2339K2bVtq1qzJjBkz8PT0JC79Xb+vQTrUs6Fhw5J8/HFDRo3KYj7HPJSUAv3XQdWS8OJHiF0G7avCkX+0z2XpVQc6VIMpvxv/+01MVFy/HsfMmSHcuBHP+vXhrF8fzoQJ9mn7TJrkQPPm1vTqFUCjRg/59NNnrF7tSMeOxnt+gjYeuH49lpkzn3DjxkvWr3/O+vWhTJiQd8+FepXhw5VE+ckTZeT55Mmwc6dyx3ZSEvTvr4xmefFCGZnVvj0cOUKePVdL165TcOgC/OMLB89Dz+nQtIYy0i7V6k/gWTi0+QiaToAD5+DQQnAyUifA8OGJmt/Hmvh4KyZPNmPnzuQ38v835N9/o6hf34NmzU6wZs0DtmxpSo0aSs1//XpfPDye8s8/EezY4c+IEZfp378MLi62+RPs/4jtO6BBE3irPdy7D7t3ZnxW9ptmZQVDBsGGHD6bMitJKdB/A1QtAS++g9gfoH0VOHJb/3lZ899WCqwdV0HjxbDkNOweBbXz8GYaMzPYvUVJk1zzoAPEmJYuVabRvXVL6VD/9FOl88IijwbgnPaE+t2gZT9levjdP0GJdOnc4p+hQXelsz05BbZm8Uzt17W6C9QuAe+6Gd5e2AIODwDv5zD3Qu6/L7vGjrXm6NEEgoKURDk0VM3AgRH06mVJdHRJIiJKYm+v4tq1xDeabp++BPV7Q8vByvR3u5dDCc29c94PYOR0+HQMxHrB04vKtHZPQ3L2zLpXeVVe6u0HIxfAp4Mh1gOeHoCHQfD0ed7EUxCZmcHujZq0Z5p2/aQPoHAhWGiEa8kQd/dIfv89nFu3XuLhEcXbb/tgb2/GoEEOhIYmMXCgL7162REdXZ+IiHrY25ty7VpsvpVBMvMm8tGGNeDjoTAqk2cdplq6Dc5ehVv3Ye0e+PQHmPQeWBh54N/YsbYcPRqXlvbosrKCIUNs8mx0eqqsyvCg5EnNmyvTwDdqpORTq1dDx455GlYGmV1fqRavhAbtoHN/5Wa5rWsy7pNdSp3rJTNnPuXGjTjWrw9j/fowJkzIeBOzmRns3l0elUqFq2vePONi0CBThg41ZciQRBo2jGfkyESmTTNjxAhl2ItS50qgalUTXrywJjbWivbtTThy5M3VOU5fhPo9oeUA5bEmu1fqlzOWboCzl+HWXVi7Az5dAJNG5L7cs9rOjNpmJrz7QtvQFpoCA18k0svKlGgnCyKcLLA3gWsJKRj6OUqbQFdLEzbEGu/HGj48WXN9mRMfb8bkySbs3KmMJG7YED7+2IRRo/Jo2KzG6lpQuxC8e0N//foA8AiFf6KUjvIRXtDfCVwMNF80t4eahWFDHs2+lT4tTL1Zb+3aGDZvjuXGjUSmTo3g338TGTPG+O0r6b1OXpEa47frYd8JuH4HRs9WRrwN7GLcePK7nOruHsHvv4dpyhkRvP32v9jbmzJoUDGdv9UzNm8O5caNWKZOfcS//8YxZkxJ4weTztixhTl69CVBQRmvo8KFVRw+7Ii3dwJz54bnWQyvm1ecPh1N/fr3adnSB3f3KHbvLk+JEsaf/uZ12i91jRljz/btEXozHuQnb28YOQo+nQqxMfA0CB76KY+MNPb5/abLYYWwpx0DOMJmksk4KteFOpSlKmfY+8pjnWEvv7KIA/yMHSVoyztGixNerx0+7fo/D5svKY/0m7oX/n0GY1oaNRwa1oSPh8OoL19vf+eS4L4O9hyDX/KgnyC78rJtLtWkztC8EvRaAo3mwKc7YfUI6FhL2d6rAXSoCVOMe++FQZmlzdu3R9OgwRPeeiuIe/cS2b27BJaWeX/TZ372K60uDbWt4N10j+Sb7wT2ptDRFxrfhyUhyjPUaxu/f1g/nn5Q2wnezcF58M0J8PSDG0/g+zPK8lk748X277+R1K9/hGbNjrFmzX22bGmR1lfxJmVV7gGYP78M9vZmdOx4h8aNb7NkyVN2765M7drWRo2jRIkS9OjRg82bN7Np0yZ69OhB8eLavj8fHx8SExNp1Up7V4O5uTlNmzblzh39KcLq1q2b9rqU5u60Z8+y/3yOgjUko4Br06Y0JUva8OjR+2nrzMxM+PHHtkyZ0pCKFXP5EOzXcD0AGixUnutgYQah0XDpM7iqSZA6VINKxSH8B/3P7X0fzj2A9sty/t1BQUl4e+vfInTnTjzvvKPcpmNlpWLBgpL06/eYI0eUu69u3Yqnfn0rpk0rxsmTxp3bMygoEW9v/btI7tyJ45137I36Pdnh66tMAWljA0WKKIXd337TPvfy+nVo0EDZZmGhTG986RJcvfrmY30YBCHhULmMMqKuQ0Po2QIceijPywSYeA86N4GR3eA7IxQ2fH3VtGuXkO73McfXV83Tp0ru7eioSnud+v7Gjbyp1CQmpuDjo5yr16+/oEmTonz8cVUmTMj4B0l9FknlyoXx9c3bRt3/ZZGRyvLgAVy6DC9CoF9f+G3XKz+aZwb0U67JrTvy5vjXA6DB9+nS5alwVdPY5lIcJrXVf8661xNoUwkmtlGerW5sqZ3p5ctCh176I9ieBkPJdPcdmZpCUQdlmzE91fx/HR21r1Pf37iR+ecuX1buxK9QAe7dM25MALEvwcdfWS7/DffOwth3YdFq7T7PXyjL/Ydw5z48/guaN4RLObyLeWUn6FkJ3toBgQYGPhSyAPdBEJUA/fYplZ1UT2OgabqbLxw19/Y8NdJUWOXKmdCpkwX9++vPeXb8eAKVKz+nWDEVSUkQEaEmKKg4vr552/CtK/al8ix0n0dw+QbcOw5jB8Kitcr2nYeUpWQxiHmpNOJOHQ2+2Xx+ek6kz0sBdp5QlpIOEBOniWcQ+D7J+3jyW2pnX/my0KGPftrToQ20aALx6abJvXoKtu+BURONG0tERDL37sWljQw7fjyKypVvU6yYqeZcTiYoqA6+vsa9gzq33kQ+2qYRlCwKj3TuETYzgx8/hSlDoWJ3w5+7fEuTNpeGe37GiaVcOVM6dbKkf3/Dj9IaMMAGGxsVW7fmwTMCdGRVhreyggULoF8/5UZYUG4Aq19fGTl28mSehpYmq+sr1fMwZbnvA3fuweN/oHkTuHQl476vS6kD6l8nSp1Lf5Rfamd6+fLmdOjgmyej0wEWLzZj0aIkdu1S8qF//kmmfHkVX3xhxtatyrrr19U0aBCfrs5lydWrb6ZHXa+ccQPunYKxg2BRJjc4XL6hc209NLzPq6y0M6OnlQlvhSZkGFl+PF5N5WcJFDOBJDVEqCHI0QLflxl/j9E2pjxPATcjDsFWrq9kbGySda4vU3x91bRpY0LJkvDokbZpysxMxY8/mjBligkVK+Z+CtSVNaFnSXjrEgS+YhDK5XDl38o24Jsu2RlXFv6OgOvGnckSMJwWpjbAe3vr/wZ37iRRrlzeN+W9Tl4RpHlMt7fOM9MTEsE3EMoZ8cbhglhO1ZYzrDh1SjkpvL31Z2a8c+cl5crl7RT9yrljRf/+GRuECxVS4e7uSFRUCv36hRjl8VWZed28IjZWjY9PAj4+CVy+HMu9e9UYO7YoixaFYEyvar/U1bq1NdWrWzJ4cN7cCJZelnXkm9r3O3cqS8mSyrOm1WqY+om2fdEY8qMc5kg5bCnCMLRTs5hgShkqU5+23OQc9hRnIvoP/O7F+wTygD0sT1sXSySxRPKCYOKI5V2mcpmjxLzGNPGv61Xt8EGaZMk7XR3nzlMol8tnPqeXli7rlD3NzODHz2HKCKjYWbu+VAk4vRk8/4YP5hg3jpzK67Y5K3NYMBD6LYcjmmvpVgDULwfTusPJ20pneqWSEP6z/mf3TlZGsbdfaJxYskqbIyPVREYm8eBBEpcuPePFi3L062fDb7/lfVtzfvQrrXSGnoXhLR8I1Blc7WIBk4pDrX8hNfvwioM2tjCxmPJs9bywsi/0rAFv/QSBOsWKp1HKtPh2Vvqj1B0LK9syc/kRfNUZLEwhwQjFD/2+ijBNX0V1du3yx9LSFDs7c71R6o6O1jx9mv1R1tmlW+5xcbFk0iQnatXySiv7eHnF0qZNYSZOdMTV1c+o3z1mzBg++ugjAFavXv2KvTNnbq4dGaBSKTexpOTgLjXpUM+GbdvucOKEfuvssWPvsG2bN5s23X6jsURqrpPKJaBxeZj9h/J+kQf8km5U2z+z4ZPf4dCt3H3nhQuxVKumXxmoWtUCf3/lIjY3V2FhoSIl3RCs5GS13rTixnLhQgzVqunfslS1qiX+/nk8L8hriI1VFnt76NpVmdpdV6SmbFe5MjRurEwx+aaVLgHFikCQptxso/kp04+gS0mBTGYDzDH938eUzz9P5OFDNUFBajp2NOXmTaWmV7gwNGtmwpo1b2bOcBMTFZaZPEuwfn2lJBwUZPzHF/xXqVTKkt8j1MeOBLfDSmNqXtJLl8vBbE2ju40mv05/bSXnwbUF2s70KpWgfQ9I98gYLv4FDg7QsD5cv6Gs69BWubP6spFv7nn4EIKClBF8NzUVGuW6hjVZjJqrX18ZWZeDGwVzxMREeRZ3Vtsh632ysrIT9KsK7XaCn4FndBW2gGODID4Zeu9V/tV18QnMbAElbCBE05bRuQJExCuj2Y1h9Ghrnj1L4fBhw52Lz58rJ3D79uaULGmCm1v+dUJm9vd6pvktRg+AuHg4/gZG+afPS/Xi0UzvO/ptiEuA4/lw89yblNrZV6UStO+tPEZC1+QZMGuB9r2zE3jshcFj4fI148dja2tCpUqWbNumnwimTivavn0hSpY0w82tgDxQ0IC8yke3HYITl/TXHVsD2/6ATYZn3gSgfjVN2mykdAdg9GhbTdpjuBFg7Fhb3NxeEhr6hjpCDZThzc2VTtn0de3kZPKkjmPIq64vQ1LLGDnNu1IpdS79kzB9nSu1M71KFUvat/chLCzvOrNsbFSv/bfQ1rlUNG6sYvbsN3czmC4TVdZ/h/o1c3dtrbQzo5+VCe1CE/HL4r/4XPO7tbdQUdLEcKf5aBtTtr40NGYw9/SvLxWff57M3r1qTpzQj+PYMTO2bUth06bcX/cra0I/J2h3CfxeoxpXXzMAKChdMcfWFAaVgi8yPurXKAylhX5+yQQGJlOtmn6zXdWqZhw9mvcNp6+TV1zzVspc1SrABc1TEc3MoIIz+BvxRsKCWE5VyhlWbNsWip9fPIGBCVSrpj8qq2pVK44eDc/TOEaPLsyzZ8kcPqx/ghcurOLYMUfi46F372d5PvL6dfIKQ0xMyLQNJnfxZN1+qWvsWHuuXn2Jl9ebqd9kWUf+OeP+qXXi0aMhLg6OHzdeLPlRDnvEv2zhG711XRlOGMFcwYOXxODFeb3tI5nFWfbiQ+YN2yqUgo9pHnV1ZNYO7/ccAsOhWrrJKKqWhKNG7irY5gYnLuqvO7ZeWb9pv3adc0mlM/3abRg9U7kZoyDI67Y5c1OlkzirtrdFf8AvZ/S3/7MQPtkOh4z4dN/M0ub0tPW9N/NYolRvql9ppTP0s4N2PuCXLvm10ST96VOXZPJuSu2VfaFfbWj3M/ilq09dC4SEJOhYBfZp/q9VS0B5B7jon/kx6zsrz2E3Rme6Ial9FdeuhZGQkEzHjk7s26eM4KpatTDly9ty8aJxb0ozRLfcY6P54xnuAzT+udytWzcSEhJQqVR07dpVb1ulSpWwsLDgwoULlC+vPOw+MTGRK1euMGXKFKPHAtKhnoGtrTmVK9unva9Y0Y569UoQFhZHQEAUYWH6hYzExGSePo3h3r3XaNV4ne+31H/GSsViUK8MhMVAwAsY0ABCouFRGNQpDcsHwoGbcFwzg0FwpLKk9+iFksnnxtKlYXh6VuCLL4qxe3ckTZta88EHDnzwQRAAUVEpnDkTw+LFJXn5Mhh//0TatrVhxAg7pk418rBHYOnSZ3h6VuOLLxzZvTucpk1t+OCD4nzwgfamBwcHU8qVs8DZWenRSu2Af/o0keBg4zcTdOmiZIT//qt0li9erDw7fdMmZfuAARASAo8eQZ06sHw5HDhgnAKxrTVULq19X7EU1KsMYZEQFgVzRsHes/A0DCo5w/eu8CAQjv2l7H/xNryIgi1fwteb4WU8vN9LOc7hi4a+Mfu6dDHR/D5qKldWsXixOXfvqtm0Scl1li1LYtYsM+7fT+HhQzXz55vz5ImaAweMnystWFCHo0ef8uhRDIULmzNkSDnatStJ165ncXGxZciQ8hw5EsTz5/HUrWvP0qUNOHv2GbduGafh3dZWOUdSVawI9eopnZ8BAUqHZ7ly4Ky5s79aVeXfp0+1z9pydFSeq5V6nDq1ISpaOb9eZDNJym08FSvC4IHgcUI5x8uUgRmfwcuXcORo9mJJi6eSTjzloV5dTTyPNfGU1YmniiaeYP1nkVVygbdaw9v9sh9DWiwWBtLl0kqBKeAFDKivSZdfQB1nWN4fDnjB8bvK/neD4f4z5bnp0w7A81joWwc6V4Oe63IQjy1UdtGJpwLUq6M0rgc9hd+3QcN60HOQMvLcUVOxC3uhPIf37j04ehzWr4AJnyjPeV71A/y2V/l8juLJ4txZtgxmzYL795XGg/nzlSl1DxxQ9m/eXGk8OH1aGW3XooUyBfyvv0J4eA7isYHKFXTiKQv1akJYuDLifOYkcDsOQc+geFGYOAJKO8Kew8r+TetDk3pw/gq8iIBK5WH+NHjgBxdzMDp9dWcYUhP67FNGn6eOLI+Ih7gkpTPdYzDYmMGwP6CIpbKA0nmeogaPh0rH+bae8Plp5bnp37SB1deNU2hXqZSGyi1b4khOd7xRo6y4cyeZkJAUWrQwZ/nywixdGsu9e8ZJl21toHJ57fuKZaBeDc3fKxxmuoLbKc3fywEmDtP8vXTSlYnDwPM6RMdC51aweDrM+AEicvAIxNzmpQAT+4PnP5p4msBiV5ixFiKMNJtAfrG1hcoVte8rlod6tTVpTzD8vlmT9rxrOO0JCAR07jKP1vwePg8h0AiN7osXl+bQoQj8/RNwdjZn3rxSJCer2blTyRBHjSrKnTtxhIQk0aJFIZYvL8PSpc+4d884jacFLh+1hsrldOIpDfWqQVgEBDxV/tWVmKQ8miB15HnzutCsLpz+C6JioEU9WPo5/HoYwo30eFEl7bFhy5aYDGkPQKVKprz1lgVvv53Hd8SRdRk+KQnOnFHWvXwJ/v7Qti2MGAFTpxrn+3N7fTVtBE0awPlL8CIcKlWE+V/CA1+4mIvR6QBLl4bi6VmZL74owe7dEZo6VzE++OAxoHSe/f57eRo2tKZnTz9MTVU4OirNDGFhySQmGrcV99ChZGbONOfRIzW3b6tp0EDF1KlmbNyordsNGGCiqXOpqVNHxfLl5hw4kMLx47nvEMiQb5XV5FsRmnLGRHA7oVPOGA6lnWCP5kbL5g2gWX1lWvioGGjREJbOhF8PQHgOBtSttjNjiLUJfcISiVKrcdS0QEakQGrLxShrE+4kqQlJUdPCwoTldmYsjUnmXrL+36aDhQoXMxW/GHG6d4AuXVTp6oCmmjqgmqSkjDd/JiYqaWNuZylaXQuGOEOfaxCVBI6avrWIJOUZ6C42yvYjz+B5ItQtDEtrwNnncCtdOje4FJip4Nc8GC2VVVq4eHEU8+YV4ebNRG7cSGDkSFuqVzdnwADj3NmU27wiKgZ+3gPzPlT29w+Cz0Yp2/Z4GCXEfC2n6lq8uByHDr3A3z8eZ2cL5s0roylnPNdsD2LevNLcvBnLjRsxjBxZgurVrRkw4L7RY0ml/DaFMpw7hQur8PBwwsZGxbBhzyhSxIQimptFQkLy5vEXr8orbGxUzJzpiJtbJEFBiRQvbsbEicUoXdqcPXvC8yCerNsvUxUubMLAgUX49FPjtlm+so68HGbN1Kkjf61fRwaYOBE8PZUyc+fOsPh7mPEFRBjpXtD8KoclEs9zgjKsiyM6bX2sgRHmkYQRiXK9VaQWNhTmKf4kEk8xSvEW/QjEh0jCMnw2K7lthwdYfBzm9YSbgcqU7yObQXVHGLA+W6Eo8dgYSJera9LloEzS5VBtuuxcEs5sUW5qmrZY+6g0gOAc/CkLUtscaP5ejjrxlIB65TR/r+dw5g4sfhdeJoB/KLStDiNaw1TNqPjgCGVJ79Fz8DPSqZ5Z2lyxohmDB9vi4fGSkJBkypQxY8YMO16+VHPkiHFmgShI/UqrnWGIA/Txg6gU0FQPiEiGODXcjYP78bC2NEwLgufJ0LcIdC4EPf20xylrDkVNoZw5mAL1NAMCHyRATDbys9X9YEgD6LMZouKVkecAES+VtrnIONhwBZb0Utp7I+OUDnhPP2UUOigj2x0LwyV/5TOdq8KXHeGHs9n7bTKzYEF9jh59otNXUYF27Rzp2vUUkZGJbNjgw5IljQgLSyAyMpGVKxvj6RmSNquuMWVV7gkPT+b+/TjWrq3ItGmPeP48ib59Hejc2Y6ePY1/96mpqWna9O2mpvqPibG1tcXV1ZXPPvuMokWLUq5cOb7//ntiY2MZO3as0WMB6VDPoHFjR86cGZT2funSdgBs3nyb0aPz/tnpjcvBmU+075cOUP7dfBFGb4NSdrBkgHLxBkXA1sswPweNbDlx9Woc/fo9ZuHCEnz1VXEePkxkypRgduzQprTvvhvIwoUl2b7dmaJFTfH3T2TmzBB+/jk8D+KJpV8/HxYuLM1XX5Xi4cMEpkx5zI4d2p7E3r3t2Ly5Qtr7XbuUlqq5c4OYNy8o/SFzzc4OFi5UGkHDwmDvXpg5k7SptUqVgiVLlI7QoCDYulXpXDKGxtXgzArt+6WTlH83HwXXH6FuJWXqdvtC8CQUPK7A7A3KlGwAzyOg22fw7ftwapnSyXb7IfT5Erx8jBOjnZ2KhQvNKFNGpfl9kpk5MzHt9/n++yRsbWHdOgvs7eH8+RS6dUsgPg9uFC5Z0oqtW5tRqpQVERGJeHmF07XrWU6cCKZMGWs6dXJkypSq2NqaERAQy969AXzzjbfRvr9xIzijM03TUs10Opu3wuix0LsXbNZ5isQuTeFv7tcwT3POTPgA5n6l3efcGeXfUWNhy9Y3G09cHLRpDVMmKwXq4GD48zy0fEvpGMiuxg3hjE6Su/R7TTzbYPR46N0DNut0Ru/aponnW5j3rXb9mJHwOFDpoMipxuXgzGSdWPprYrkMo7dDqSKwpJ8mXY6ErX/BfJ3Yk1Lg7bWwqBcc+gAKWcKDUBi5HY7m4JRq3ADOHNGJRzMl1ebtMHch9OmhvL/pqf+5dm/DWc2N3kPHKZ3oJ92UEXd73WByupk0XjuexkpHQ1o8mucjb96s3EX//fdorms01zV060badR0fD+++C3PnKqMwHz5UjrFkSQ7jqQtndKbRX6qZ3mzzHpjwJVSvBCMHKJ2zz8Phyk1oMwC8NY22sS+hfzeYN1VpZAx6Bu5n4ZsVkJCDCVA+bKj8e3aI/vpRh2HLP9DQEZo7K+t8xuvvU2EN+Ecqneo9f4c1XeDicIhJVD771bnsx2NIp04WlC9vysaNGe+erlbNjIULC1G0qAl+fsl8+20MS5cab8q/xrXhjM4jRZbOVP7dvA8mzNb8vfopnRLPX8CVW9DmPeXZ6ama1oV5k6GQLdz1gfGz4dcsRtlmGU8u81KAptVh3mgoZA13H8H4H+BXIzUq56fG9eHMIe37pZq0dvMOmPsd9HlbeX8z3XnZrhecfQOzBZQpY87OnRUoVsyMkJAkzp+PpnnzfwkNVQoZ1apZsXBhaYoWNcXPL4Fvv33K0qXGmwajwOWjteDMRp14NGn85oPK821fJT4R3u0GcycoI2sfBirPVF+SzfJFVjp1sqR8eTM2bjScpowZY8vjx8l4eOT9iLFXleHffVfZvn07FC2qdKrPnAk/GxhJlhO5vb5iY6F/T5g3Q2mIDQoG95PwzY85y7t0Xb36kn79/Fi40ImvvnLU1LmesGNHOAClS5vTp48ype/Nm1X142vnw9mzxp2+ctKkRObPh59+MqdkSRVPnqhZuzaJr7/WdqiXKqViyRIzHB1VBAWp2bo1mfnzjXMzdeM6cGan9v3SWcq/m3+HCbM0+VZ/nXKGF7QZDN6aPrX4BHi3J8z9WHNtBcDSTbBkQ4avei0f2iqNSmeL64/EHPUikS2aKd2rmalYWMSMoibgl6zm26hklsZk7D0Za2PKhYQU/k0y7k0QyvVlqnN9pTBzZkqeTj8N8KHmxoezzfXXj7oJWwIhIQU6FYMpFZQR6AFxsPcpfGOg7ju2LOx7qnTGG1tWaeHy5dFYWalYutSOokVNuHkzkc6dQ4w2pXlu8wqAz5ZAUjJsWwDWlsrjQTqMM97NV/lZTtVVpowFO3dW1ilnRNG8+e20csby5U81f6tyFC1qxs2bsXTufCdPHy3TqZOV5tzR/7EbNrSkeXPlDl0fnzJ62ypUeIy/v/FP5FflFcnJUL26JSNHlqd4cVOeP0/mypVY2rTxyTBVvHHieXX7JcC77xZBpYKdO437LIfGjeHMae37pZq67ebNMHqMTh15rU4duTt6bV9Nm8C8uVCokHKT3/gJyk3nxlKQymHZlUQCdWhFW97BDDOieMF9bnKF7Fe6jNEOv/y0Mt340gFQ1EbpWO+8Enxz0EHbuJbSIZ4Wj2Zm/M37ldHmr9K5JVQpryyBZ/S3qWrmIJ4C1DYH0LginNF5hvzSoZp4zsHo9fDuT7BwIGyfAEULKZ3qM3+Hn0/l7nuzI7O0OS5OTZs2lkyZUgQHBxOCg5P58884WrYMIiTEOHc6FaR+pQ81j5o8W0l//agA2PICkoC3H8KiUnCoAhQyhQfxMDIAjur8dF87wiidG0NuaKob7XwgO9WMD1tq4nFNF88u2KKZTfATN6X9be8IZfr3Y//ChzqzPySmwMSWsLSXcuPEg+cw9RCsv/z6cWSlZElLtm5tQalS1pq+ihd07XqKEyeU0U+ffHJNacPd2wZLS1OOHXvChx/m8u7pTLyq3PP223dZtKgchw5Vo1AhEx48iGPkSF+OHs2bGQCLpN4ZaMCiRYtISUlh+PDhREVF0bhxY44dO4aDg5Gfu6GhUqsLysQfeScoKIh169bxwQcf4Oy889UfyENqtXYYg+rDfAxEQ/2T9rVKdSfzHd8QtbpG2muVKocPqjUitbph2mvVm519xSAvr1vs27eP/v37U3dinfwOB/Wf2tcqVf5Pha5Wa6dYU6ny8aHdGmr14LTXKvMsdnwDvK7rnDsNC8C5o9P5pLLJvzhSqXXqkKrJme/3pqh1OvRUmZcZ3hivCzrnT90CcP7olFxU5TLf701R6zwNRvVd/sWRSj1d+1qlMv4MMdmhVmtvH1dVycdANLz2Fdx8NDY2b58R/TpsbLQJsqpoFju+IWqdASYFoVzo5WVecPPSuvkXRyq1l/a1SvU4/wIB1GptB0KBK8O3LQDnjt615ZX5jm+IWq09gQtcncIlix3fELXO83JVT/K/Y8Pr+T2dcmH1/A4HtVrneYhHstjxDVC/rX2d3+kgpEsLC0A+4bVdt05R8tUfyGN65VSVkVrDc0Gtbpb2WqXyy79ANNTqCmmvC15ekf/tl15eSdrzuV4ByNt1+uPyO/3RTXuWMDEfI1FMRfvM3YLQFu/lqpMWDi4A547OQI8C1z43Iv/iSKXWuaG4IKTNXl5R2vNnTQE4f3T7lvI5q9DJJlB9ln9xpFIv1r5WqbZnvuMbolYPTXtdEMo9T56US+uzLVWqVH6H89re0FPfhBBCCCGEEEIIIYQQQgghhBBCiP8t0qEuhBBCCCGEEEIIIYQQQgghhBBCGCAd6kIIIYQQQgghhBBCCCGEEEIIIYQB0qEuhBBCCCGEEEIIIYQQQgghhBBCGCAd6kIIIYQQQgghhBBCCCGEEEIIIYQB0qEuhBBCCCGEEEIIIYQQQgghhBBCGCAd6kIIIYQQQgghhBBCCCGEEEIIIYQB0qEuhBBCCCGEEEIIIYQQQgghhBBCGCAd6kIIIYQQQgghhBBCCCGEEEIIIYQB0qEuhBBCCCGEEEIIIYQQQgghhBBCGCAd6kIIIYQQQgghhBBCCCGEEEIIIYQB0qEuhBBCCCGEEEIIIYQQQgghhBBCGGCW3wG8aWr11PwOIY36p/yOQJ9aXSO/Q9CjVjfM7xD0qNX5HQHcuqV9rf4z/+IwRK22zu8Q9KjVg/M7BD3qxPz9fr1zJ59jSU8dm98R6FOvyO8I9Kkj8zuCdOdPAUgLdakf5XcE+tTT8zsCfWq1Y36HkEZ9P78jKNj5qI2NTX6HoEcdlt8R6CsI5cJbOidQgctLvfI7An1qdZn8DiFNQci39NKeAndt1c3vEPQUuDqFb35HoE/tbJnfIXDrufa1Wm2ef4EYoH47vyPQKkjpIBSMfEK/TlFwyqgAanWz/A5Bj1pdIb9D0FNQ8oqAgADCw8PxKgDn86NH2oqoOiUfAzGgIKU/U1md3yHoKQht8XppoXf+xWFIgWuf25rfEegrCGmzXp20AJzPugpIVgGAenF+R6BPrR6a3yHoKQjlnqCgoPwOIUf+33WoCyGEEEIIIYQQQgghhPjfEBAQwMaNG/M7jAzs7e3zOwQhhBBCvCHSoS6EEEIIIYQQQgghhBCiQAoPDwegcePGlCtXLn+D0bC3t6ds2bL5HYYQQggh3pD/dx3qKlX+fr/ulIOqDvkXRyr1Ke1r1br8iyOV+gPta1WV/Isjle70tCpV/s+7rDutlSr/Zz5FfV37WjUw/+JIpd6jfa0qkn9xpNKdqlvVOf/iAPBaon2tKgAzM+pOlVvgzp0CUDfXnca8IOQVXsu1r1X98y+OVOp92tefsCj/AtFYyoy016od+RiIhnqI9rVKdSf/AkH/cTIFLh8dk39xpFLrDLJZkt+FVGCqTkH1Z0bnYySKCWxKe10Q0mavw9rXqhH5F0cq3SkQVQVguj/1h9rXKlX+zsWqOzWtqmY+BqLhtUv7WlUApkLUnfp5D73zLxCNgbilvVa5ZbHjG6LW+UlUqkP5F4iGWt0r7bUq//9ceH2rfV0Q4lHrnDOqJZnv9yboPmGwIKQ9ulMJ53eZENKVw1R++RZHKt2pe1UFYOCzWqdsqhqS+X5vilqnXqNSrcy/QDS8vNoBUK5cOeo2rJO/wZCuTaOgtafmcz1Ht46jUuX/s27U6qJpr1Vf5mMgGl7vaV+rFuRfHKnUOr9JZW7nXyAaD6iV9nowW/IxEsUuRqa9zu+2XUjXvlsA2ljUam0DvMozHwMB1C21r1Wql/kXiIbuo6xUqutZ7Plm6D5GrwA0P/HkSX5HkDMm+R2AEEIIIYQQQgghhBBCCCGEEEIIURBJh7oQQgghhBBCCCGEEEIIIYQQQghhgHSoCyGEEEIIIYQQQgghhBBCCCGEEAZIh7oQQgghhBBCCCGEEEIIIYQQQghhgHSoCyGEEEIIIYQQQgghhBBCCCGEEAZIh7oQQgghhBBCCCGEEEIIIYQQQghhgHSoCyGEEEIIIYQQQgghhBBCCCGEEAZIh7oQQgghhBBCCCGEEEIIIYQQQghhgHSoCyGEEEIIIYQQQgghhBBCCCGEEAb8v+9Qb9MG3NwgMBDUaujTJ+M+8+bBkycQGwvHj0PlyvrbHz5UPqu7TJ+ew3jqgtu3ELgb1KegT6uM+1QvBwe/gXA3iD4Mf/0EZUtqt7/fA04vgYhDyjHsbHMWy4z68FdfiBwFwcNhfxeoaqe/z89t4MG7EDsGng2HA12gml3GY42sCjffgZdjlGOtMvD/epU2TcBtLQSeB/V96NNJf/ucSXDHHaJvQthVOL4ZmtbT36dBTfDYDC+uQehfsHY+2NpkPxZDTEzg668t8fUtRGxsYR48KMSsWRZ6+2zaZIVaXURvOXrUOAG0aQhuyyDwGKivQ592+ts3zVXW6y5HV+nv41AEfv0GIv6EF2fhl6/A1jqH8dQAt+kQuBbUe6BPE/3t6j2Gl2m9tftUKQUHPoeQDRCxBc7Nh3a1chhPS3DbBYH/gjoS+vTQ396vFxw7AKF+yvZ6dTIew7EkbF0HQfchOgiu/Qn9e2fc77XiqQNuX0Pgb6A+Dn1aZtynejk4+DWEH4BoN/hrFZQtoWwr76h8ztAy4K0cxNMa3PZDoD+oE6FPuv9Xv75w7AiEPlW210t3bTk4wIplcPcfiI0Efx9YvhSKFMl+LGCc86dBRfCYDS82Q+hGWDsebK1yGE9TcNsIgVdA/Qj6dNHfPucTuHMKou9C2C04vgOa1tduL18GfvkefM9D7D14cA7mTgVz8xzEkst8wqEwrJgEd7dA7FHw3wnLP4IiOcwr2tQEty8g8BdQ74M+TfW3q/cZXqYZyG8tzODvH5Xt9SrkLB5dHWnOUmbQl45p61pQj4kMYSGfsJQZWGGZ4XNjeYevcOV7pjGPjxhKT4pQKEcxzKgJf3WFyIEQ3B/2t4GqhTPf/0g7UA+BPmUMby9qAQF9lX3scnD+GOLsbMa2bc6EhlYhNrYaXl4VadRIe7HY2qpYudKRgIDKxMZW4/ZtF8aPtzfOl6fzOnlp+nw0dZk2zSKTo76+NlXBbTIELgH1RujTQH+7rSWsHAoBP0Dsz3D7GxjfTn8fxyKwdRwELYXoNXBtDvRvlP1YVCYmtPz6a8b6+jI5NpYxDx7QbNYsvX1azJnDqDt3mBQdzYdhYbxz/DhOTfUvwrEPHzJVrdZbmuS0oKqjPm8zgU205L20db2ZzgQ26S1tGJG23RJb3mYqw1nC+6xjGD/SmmGYk/3EObfpMsDBDeB/EV7egydXYesyKOWY7VCUeKqB2ycQuBzUW6FPQ/3ttpawcjgELIPYX+D2QhjfPvPjHfnU8HFe14yG8NcAiBwHwaNgfzeoaq+/z89t4cFQiP0Ano2GA92hms4+dYvBjs7waISyj/d7MLluzuIxREl7yhIaWpPY2Np4eVWhUSOl4GlmBosWOeHlVYXo6NoEBtZgy5aylCplZpTvbtMI3FZD4BlQe0Ofjpnvu2aOss/Hw/XXfzkeLmyHmGvw4pIR4lkJgSdA7QV9sjg31sxS9vl4WMZtb7eBS9sh9i8IOw/7l+UuLoBqvMNA3KjHOABsKMlA3AwuZdAWSurzPp1YQn/20pmcBzKjMvzVBiLfhuCusL8JVE1XZjndEtS99Zc1mZyrRc0hoLOyj50RTqcJE8pz82ZbIiK6ERHRDU/PVnTrpq2cu7jYsG9fY54960JERDd27WpEyZK5z69StakFbrMgcBOo3aBPM/3tajfDy7R+2n0OzgT/DfDyd3iyGbZ+AqWK5l88Xw6EC99BzB54sSNncQDMaAJ/DYHIjyB4AuzvDVUdtNsdrGBFe7g7CmIng/84WN4eiqT786inZlwGV8tZTLlNe8o7wy/zwdcDYq/DA3eY+1HO6hSGvKpMuGlTKdTqGnrL0aNljfPlBjx8WAa1ukKGZdWqojg4mLBiRVHu3i1NbGw5/P3LsHx5UYoUURnlu2fUhb96QeRwCH4P9neEqunqtj+3hAcDIHYEPHsPDnTM2B7WuDic6AYvhkLYUHDvAnVzcH21qQ5u0yBwNah3QJ/G+tttLWHlKAhYCbGb4fb3MD7d+fV+Bzg9CyJ+UY5hZ6S2sLQY2zjj5taTwMDRqNWT6NPHRT9GW3NWrmxLQMBoYmNduX17KOPH1zbOd+eyPQPg/XFw+gREPFf2sTPQtvk6jNmWClDUEgKGgPoDsMth9mGMOo5LCdj3ETxbDhGrYZcrlMxhe096Sh3QGl9fO2JjHXjwwI5ZszKvH6xZY4NaXZSPP85Yl8+uGW3hrw8hcg4Efwn7h0HV4vr7WJrBqt4QOgui5sDvQ6CkTvPAyIagXmB4KZHNdpYZLeCvURD5KQR/DPvfgarp0oz368PpoRDxKai/BDsDP0MDR/B4D15MhdApsLY72OYgrxiCA39QiRtU5wbV2UNF3tJpG5lPKU5RhX+owV9U42fK4oLhE9UeU85TlQfUonAOu6Q6U43v6cUm3mMT7zGf7tSndNp2O6yYSGvWMogtDGERPWlKOb1jrOQddjFSb+lDztKi3Lbtpnfk28yPkxOv074CUL26CQcPWhMeXpjo6ML89ZctZcvmLj+dURr+qguRzSC4CeyvBlV1LuvylqBuaXgZUEy73/KKcLUuxDWHvw2k3Tml/DZm+PpaEhtrxYMHlsyapV85sLWFlSvNCQiwIjbWitu3LRk/3tR4QaTj7GzOtm0VCA2tS2xsfby8atCokTaz7tfPnmPHKhMaWhe1uiH16uWw08YAY/SRHjwI/v7w8qWy39atUKpU9mNRqVRZLnPnzs3R/9FYjNMi8T/M1hZu3oSNG2H//ozbP/8cJk+GkSOVjvP58+HYMahZE+LjtfvNng3r12vfR0XlMB4ruOkDG4/C/q8zbndxhvPLYcNRmLMZImOhVgWIS9DuY2MF7leUZdH7OYsDoG0pWO0NV0LATAULmoLH21BzD8QmKftcC4Ht9+FRtFLIm9sYPHpAxZ2Qolb2+aQOfFoXPrsEl58pGXiFLDoTMmNrDTfvwsbfYf9PGbff84OPvgbfALC2hE9Gg8cmqNwJQsOgVEk4sQV2HYGP5kGRQrBsJmz+DgZOyvHPlGb6dAtcXc0ZOTKO27eTadzYlE2brImIgJUrtX+go0eTGD36Zdr7+Hh17r8czblzDzYehP0/Gt7n6AUYPVf7Pj5Bf/v2b6FUcej8IZibKZ3w62bB0Jk5iMcSbvrDxtOw/7OM253SnZvd68MGV9ir0yD5xwy4/xQ6zIOXCTClh7Ku0iQIDs9mPLZw8x/YuA32G2iYsbWF8xdh9z74ZVXG7aB0ptvbQe93IfQ5DBkIu7dA47Zwwyub8VjBTV/YeAz2z8243aUUnF+quda36Fzricr2gBBwGqT/mQ96wGcD4ehf2YsFNL+PF2zcDPt/N7z9/AXY/Tv8sjbjdmdncC4F06aD9x0oXw5+Xq2sG/huDuLJ5flTygFOfAW7POGjDVDEGpaNgs0TYWAm10eW8djATW/YuAv2r8+4/Z4vfPQV+D4Cayv4ZCx4/AqV31LSn+qVlMLa+C/ggT/UrgbrFynp2mffZjOWXOYTzsWUZdrP4O2v3Jzx8xRl3cB52fxh0Pyt/GDjKdhvoI/OaYz+++4NYcOH+td6qu9HwJMwqF8x+3GkVxYnWlCfQJ7prTfHnLv4chdfetLO4Gcf8IgTXCSSaOwoTG/aM4q+rODXbMfRtiSsvgdXwjR5aT3w6AA1/4DYZP19p1SDV+UIG5qBVziUMVIDmL29CRculOf06Vi6dw8gJCSZKlUsePFCG9ySJY506GDLsGFP8PNLpEsXW376yYknT5I4dCjaOIFovE5e6uSkX8jq3t2MDRus2Ls3Mdffb2sJNwNg43nY/1HG7UvehQ7VYdh68AuFLrXhp2HwJBwO3VD22ToO7G2g9woIjYYhzWC3KzT+Gm48ev1YmkyfTj1XV9xHjuT57ds4Nm5M102bSIiI4O+VKwF4ce8epz76iAhfX8ysrWn4ySe84+HBxsqVeRkamnasC7Nnc0unoJqQ04KqRgkqUpN2hJLxP+TNGa6gLVQnoS1sqFHjx99cYR8vicKOkrRmOG8xkpMYyFyykNt0GeC0JyxYBUHPoLQT/DATfl8DrfpnKxQlHku4+Qg2/gn7P864fckQ6FAThv2sc+6M1Jw7f+vvO6Xrq9OCV2nrDKtvwZVnYGYCC5qDRy+ouTNdOf6eTjm+ibJPxV+VcnyjEvDsJQw7AQHR0NIJ1rWF5BRY/U/u4rO3N+XChcqcPh1N9+4PCQlJokoVy7S0x8bGhIYNrZk//xk3b8bh4GDK8uXOuLlVoEmTB7n8dTTnz7+wcR/sX5n5fn07QvN6EBiccZuFOew5BhdvwtgcnDN68Vhr4tmfdSd43w7QvK7hePp3gvVz4MsVcOovMDOF2pUz7pcdDlSmEt0I52HaulhCcdO5UQbAha5Uox9BXNNb/5ATFKUq9lTIcQxti8NqP7gSrslHa4BHC6h5Wj8fXecHX/2rfZ8+j021oT54RUIZI7U/PX4cx4wZd7h/PwaVCkaOLMvBg01o0OAsfn4v8fBozs2bkXTocBGA+fOrc+hQU5o3P4/aCNVAW0u4+RA2noD9X2bc7qT/p6J7I9gwCfZ6atedvgULfoegMChdDH4YDb9Ph1Y5uPfKGPFYmMGeC3DxXxib7ib67GhbFlbfgCvBmnOnNXi8AzU3K+mgsy04F4Jpf4L3cyhfBH7upKwf+If+sUa5g7uf9n14PDmS27SnuoumTjEXHjyC2lVg/TxNnWJxzmJK9TplQoCjR6MZPfpJ2ntjtWcY0qTJE0xNtQ36tWubc+KEE3v2xOLsbIqzsynTpoXh7Z1I+fJm/PxzMZydTRk4MCTX393WCVbfgSuhmny0EXh0g5r7dPLR57DdBx7FaPLRBuDRFSruUfJRWzOlA93tEXzoqRxnXgM41gXK7oKkbPx0afXjM7B/asbtS4Zryhk/gV8IdKkLP42GJy/g0HVlHxsLcL+pLIvey3iM3LK1NefmzVA2bvRm//4eGbYvWdKaDh3KMGyYB35+kXTpUo6ffmrHkycxHDr00MARs/PduWvPALCxAfdjyrJoQc5jMVZbaqoNbcErDMrk7P5uIPd1HBsL8PhUOUaH75XPzO8HhyZD82/JdX42fboVrq6WjBwZo1MHLEREhJqVK/UT3L59zWne3IzAwJTcfalG24qw+hJceay51ruAx2iouQxiNdXLpT2gRzUYuAMi4pTO9X1DobXmXNrlBe739I+7eQBYmUFITDbjKQerr8GVIE087ZSO8ZrrtPHYmIO7r7IsMnATZqlCcGII7LoDHx2DIpawrBNs7gUD92Uvnqcksphg/EhABfTHnp8pSx98uU88/xCHGxE8IRF7TJlMCTZTnnbcJ/1faCHO3CUOJ3J+F9hzYtjBdZ4SiQoVb1GJz2jPdP7gMeFMpA22WPA9p4gijta48Alt+YLD+BGWdpxd/M1JtH+0OJJyFE9u23Z1Temf+zpgeq/TvuLiouL8eRs2bEhkzpwYIiPV1KplSlxc7r67bRFYHQRXojVpYXnwqAU1/4bYFAiIB6cr+p/5wBE+Kw1HX+iv3/gMmhWCujkcCGTI9OlmuLqaMXJkArdvq2ncWMWmTRaadEcp+yxZYk6HDiYMG5aAn5+aLl1M+Oknc548UXPokHHSoFRK/biqpn78QKd+rD03bW1NOH8+mt27X/DLL+WN+v3G6CM9fRoWLICgIChdGn74AX7/HVplc2BtUFBQ2utdu3bx1Vdf8e+/2opeoUK5yBCN4P99h7q7u7JkZsoU+OYb5Q4NgBEjIDgY+vaFXbu0+0VFKetzHc9fypKZb8fAkb9g+jrtOt8n+vss36v82zaXd+10P6r/ftQZCBkBjYrDuafKuvV3tdv9o2HWFfAaABUKgW8U2FvAN02glzuc0onzVhjZ5v6nsmRm5yH991MXwrhBULcanLoIPdtDYhJMnKst7E34Cm4dhkrlwCcbjdyGtGxpysGDSRw5oiR0/v5JvPdeEk2b6t91Fx+vJjjY+JVOd09lyUp8AgQ/N7ytekXo3goaD4Vrd5R1k76HIytg2lIICjX8uUzjuaEsmUnfId6nCZy+DQ81fV/FCkNVZxi7Bm5p/jYztsPEblC7bPY71N2PK0tmfv1N+bd8ucz3adkUXKfCFU1b4beL4ZOJ0Kh+9jvUU296ycy3ozXX+i/adb7a/ISUFAhOV8Do1wp2n4WYHBR6UiuOmfl1u/Jv+Uzy69u3YcBgnVh9YeZX8OsWMDWF5EwaNTON50buzp+ejTTX+y861/t6uPUjVHICn6fZjOeMsmRm50H991Pnw7j3oG4NOHUBjp1VllQPH8EPLuA6PPsd6rnNJ277wYC5+ttmboRfvwBTE6WjJFvx/K0smTH4t/oHHqbLM7s1gC714Z3v4e0cjObVZYE5w+jNbo7SGf2S259cBaASmV/sZ9FenC+I5CSXGMM7mGBCSoZqYda6n9F/P+oShLwDjYrCOZ22vnr28GkNaOwOTzPpmJlQWclXv/4H3nbOVhiZmj69GAEBSYwZo01g/Pz0a3ctW1qzZUsEZ8/GArB+fTjjx9vTtKm10TvUXycvTZ+H9uljxunTyTx8mPu81f2WsmQaXyXY4glnNWX59WdhfFtoWlHbod6yMrhugyuadsFv/4BPukCj8tnrUHdu2RKfgwd5eOQIAJH+/lR/7z29Eeh3d+7U+8zZqVOpM24cxevWJeDUqbT1CVFRxBqjoAqYYUlHPuAsm2lErwzbk0jgJZEGP5tALN6cTnsfzXNuc4r6dM92HLlNlwGWbdBufxQIi9bAgfXK6OikbLapuHspS2ZaVoEt5+Gspuy8/owyQr2pi36Her1y8Gl3aDwHnmbR2fIq3dN3Bp2EkDFKJ/k5zeW+3lu73T8KZv0FXoOVG199I2HTXf1jPIyEFo7Q3yX3HerTp5cgICCRMWMep63TTXsiI1Po0kW/cf2jjwK5cqUKZcuaExCQuxto3M8pS1acS8LKmdD1Azi8JuP2uZobMEf2zVUoSjznleWV8XwBXSfA4XQ3f5qawvLp8NkSpVM+1R3fnMdkihXN+JSrrKIGundxphBPuN6+pWnBYy6QjLYQegPlThdL7HLVod493Q14o/6GkG7QyA7O6dQpY5Mh+BWdnBMqgL05fH0P3s7hbBTp/fGHfto6a9ZdXF3L07y5A6VLW1Ohgg0NGvxJVJSSqIwc+TcvXnSjQ4finDyZzQqWAe7XlSUzGcphzZQOdN1y2DI37etHIbBoLxz4UrkpIym7ZXgjxDNXk7WN7JC9706ve7pOg1HHIMQVGjnCuUC4/RwG6LQh+EbAzPPwa3cwVUGyTrEiPB6CY3MXD+Q+7Tl2XllSPXwMP1QE18G571B/nTIhpLZnZPPEyKHQUP1y94wZdjx4kMjZs0paM2CAtjDt65vEzJkv+PXXEjmqf6bX3UP//ahzEDIEGhWDc5rzdb3OTTz+0TDrGnj107aHVbeDYlbw1d/wWNOpNu8G3OoH5QuBTzbub0ztCM9Myyqw5Ryc1bTlrD+ljFBvWknbob5c0/bZtsbrf292uLv74+7un3mMLUuxZctdzp4NVGJcf5vx42vTtKljrjvUc9ueAbB8hfJv2xzM+KfLGG2pqSbU0NT/rsPbWbRVvUpu6zitqkCF4tBgLkRpsvqRG+DFSuhQA056Z3bk19OypRkHDyZy5IiS5vj7p/Dee4k0bWoGaDN3Z2cVK1fa0rVrFIcPG6dDpftm/fej9kLITGhUGs75KZ3RYxvBkN1wWlOuGr0X7n4CzcrC5QCIS4I4nWpxcVvo4AJjs9l5DdB9l/77UX9AyBRo5ATnApR1yzXNFW0zOSd6VobEFJjoru2gneAOt96HSg7g88Lw5ww5hX59fwnPGIID9bHmPvHsQnuwQBJZwjMOU5kymPMIbR4yBAeKYMpKQmhHDkbZaVznsd77XfxNF6pRheI8JpxqlOAXLuGDUsbahxdvUwMXiul1qMeRSAS57DEm9227qepVgk8HQOOJ8HR3rsNK8zrtK99+a8WRI0lMn6691nx9c3aDga7ud/Tfj7oPIU2hUSE4FwkpQHC6Yka/orA7FGJ0sv+PNdlDibLG7VBv2dKEgweTOXJE+TJ/fzXvvZei+W2S0/bZsiWZs2eVfdavT2b8eDOaNjUxeof69OmOmvqxNh/189MfCfnrr8o5XL688Wa7SmWMPtJly7T7P3oEixbBgQPZb19xcnJKe21nZ4dKpUpbN3fuXA4cOMCNGzfS9lm2bBnLli3Dz88vbd0vv/zCjz/+yMOHD6lQoQKTJ0/mww8/fP0gspCz+TX+n6hYUZmW4MQJ7brISLh8GVq00N93xgwIDYXr12HaNKVRw9hUKujRHO4FgPt3ELwXLq02PN1vXkidWigsk4YKGzMYXU1pgAvQVBY6l1FOstK24D1QmaZoV0coY8QE0BBzc/hgMIRHKqPaASwtICFR/87Jl5q8s3XjjMfILk/PZDp2NKNKFeWyqlvXhNatTTl6VD/FaNfOjODgQty9a8tPP1lRtKhxpiR7He0aQ/AJuLsPfvoCiupMKdWiLryI1HamA5y4rHTcNjMw/bkxlbSDHg1hg7btn+dRcDcQRrQFG0ulo298Z6UR5louGgdzw/MvGNxfmd5cpYLB74CVJZx5RQNodqlU0KMZ3HsM7gsheDdcWpH1lD8Nq0CDyrAhi8zvTbOzU9LM3DZmvIqh88fSDBKS0l3vmnJI6+p5G4+5OXwwBMIjlNGTmbErDGHhxv3unOYTdrbKnbLZ7UzPrpJ20KMRbDiZcf36D2H4cojN4YgfXQPowh18uEfmDTqvywYrGlELPx5nuzPdkNRp2sN0ysXWprCjFUy8AsGZ1OlqFIGv6sCIixlHLeRG796FuXr1Jbt3lyY4uArXr1dk3Dh7vX08PV/Su3chnJ2V+zDbtbOhalULPDyM25mufNfr5aWpSpZU0aOHGRs2JBjcbvT4fKB3fXC2V963qw5VncDjts4+D2BwU3Cw1eQVTcHKHM78a+iImXvi6UnZjh2xr1IFgOJ16+LcujUPjx41uL+JuTl1PviAuPBwQm7qt7g2nTED19BQhl2/TuNp01DloqDahuE84iaBGE7gqtCCkaxgEPNpygDMMpnyD8AGe1xoxBOy+eNk0+ukyw52MLQveF7Lfmf66/C8D70bgLNmuuF2NTTnjk7HtLUF7HCFiVshOMK43/9a5fjqSodSQBaXtp1l5sfIjt69i3D1aiy7d5cjOLgm169XYdy4rOfAtbMzJSVFTXh43nfkqFSwbREs3gjeuR8Qb5x4FsDizeDtk3F7wxpQxlEpt1/fBU9OwpGfoFYuRqg3ZAJBXOUZWfTgAPZUwgEXHpLFnatGlJaPpmuAG1oGQrrCrXbKKHbrdMlcjULwVVUY8bdx81FdJiYweLAztramXLz4AktLE9RqNfHx2vJDXFwKKSlqWrfO4ZzquVDSHno0hg1Z/KkcCsHQtuB5N/ud6XkRjzGlTokblkX7uZ0lRCbod6YDrO6odMZfHgKja+VdjDlJe+wKQZgR8ozXKROCUg4MDq7C3bsu/PSTE0WL5t3Up7rMzWHYMFs2bsw8k7KzMyEyMiVP6p9paU9W+WgVpTM0tT3s3wgIjYOxVcHcBKxMldfeL8DPyMVoz/vQu6FOOaOmppyRRSfqm+bpGUTv3hVxdlYaBNu1K03VqvZ4eORydEsBl5O2VIAa9vBVIxhxOu/yrVSvquNYmiltK/E6ZeS4RCWu1lWM8P2eSenqgKa0bm3G0aPazF6lgm3bCrF48Uu8vfMug0rLKzQTizYqrcycckInTf43BPxfQItMOrRHNFBGk/+eyxtQ9eLJRt+vpRkkJOuPdn6p+du1zuTRcq/DBOhBEWww4W9eZthujYoBOPCIBIJ0RnxXxpKPKME0AlEbcQy2ChUtqYAlZtxDucHqX0JoQQVssUAFtKQC5phyG/1RNX2owy8MZhE96UUtTDB+2/zrtu1aW8KOL2DiyowDp3LrVe0rKhX06GHGvXspuLvbEBxciEuXbOnTx/hjcFMftRSWSV27oS00KAQbnhnebmyenil07GhClSrK375uXRWtW5tw9GiK3j69e5virBnQ0q6dCVWrqvDwMH7jae/edly9GsPu3RUJDq7D9evVGTeu2Ks/+AZkp480lYMDDB0Knp55076Sle3bt/PVV1/x7bffcufOHRYsWMDs2bPZsmWLUY7//36EelZSb4ZIP6AnOFi7DWDFCqUjPSwMWraEhQuVk+zTT40bT0l7KGwDM96DWZuU0YfdmsK+edB+KvyZzRGy2aEClrWA80/hdrrE3bUmfN8MCpnD3XDofFi5Ew7ApTCYqODLBvCxJ0QkwDeN4XgPqPu7dj9j6dEeflsKNtbK9J2dR8FzTbynLsKSL2DaOFi+RZkWbZFmKulSmTy7JDsWLUqgSBEVd+/akpys3FQxc2Y8O3ZoUw139yT27Uvi4cMUKlUyYcECS44etaFFixhS8rgjy90T9p2Ch0+gUhlY8BEcXQktRimNb07F4Fm6mQOSkyEsUtmWl0a2Ve5y3XdZf32nr5VnqEdtVQrqzyKg27cQns0pk4xl0EjYtRnC/CExUXlmSL+h4GPkDv60a30wzNqs3MnYrTHsmwPtPzN8rY/tpkzffTGXdwYbS7FiMPtLWPfLq/fNLUPnz6l/YMlI5Znqy48oU5wtGqpsK2WfN3H06Ai/rdJJf4Zq05/0KpWHSaNgWjZHp79KTvKJYkVg9nBY90fGbcY2sj1EvYR96UabbZ4EPx+Daz5QPpfpcQNqUBpHlpK7glJP2tGahlhigR+BrGdP7gJDk5c2gvPP4LZOw+fShuAZAm6Bhj9nYQI7W8Fnf0NALLgYcXYjFxdzXF0dWLIkjAULQmnSxJoVKxxJSFCzdasS5KRJwaxb50RgYBUSE9WkpKh5//2nnDuXsRKdW6+Tl+oaOdKcqCjYt+/NlNAnbYd1I5XnDyYmKXnT+1vgnM4Uf4PWKM8UDFup7BObAP1WgU82K4Z/LVqERZEijL57l5TkZExMTTk/cyZ3d+g/t6Rijx70+O03zG1siAkKYm/nzsQ9105H8/eKFTy7fp24sDCcW7ak9cKF2JYqxdkcFFQr0ZTilGcfhp8PcZ9LRPGcWMIpRhmaMRB7nPBAfzhtR8ZTgQaYY4kff3OWjdmO5XW8Trq86Av4aKQyDe/Fa9BzdJ6EwqRtsG6M8oz1tHNnI5zTuZdg6RClQdwti9GdOaEClrWG80FwO11Zz7UWfN9SU45/AZ0PZV4+b+EEgytBjyO5j8nFxQJX12IsWRLKggW+NGliw4oVzpq0J2PmaWmp4rvvnNi5M5yoqDwuNAPTxymdiSuy/6SPPDF9jNIQsWK74e0umsbRua4w9QfwC4RPR8KZDVC1l3LTbHaUpQ0OuHCCV6cTFelMJI94zt1X7ptbKmBZLTj/HG7rjODbEQj+sfAkDuoWge9qQrVC8I5mxJCFCexsBJ95Q8BLcDHyc4Nr1y7MxYutsbIyITo6mX79rnLnTjQhIQnExCTz3Xc1+PLLu6hUsGhRDczMTChVKvNnw+aVkR005bCLGbctGgkf9VCmLr14F3rOz994jE0FLGsH5zUj0w0pZgWzm8O6dB2Qsy/AqQClc6RLBfipIxSygJVZzNCUU9lNeyqVg0lDYVouR6fD65UJ3d1j2LcviocPE6lUyZwFC0py9GhZWrTwy/P2jL59bbC3N2HzZsM90cWKmTB7tj3r1uXusTaGqIBlzeB8MNwO19/mWh2+b6LTHuauzUejk6DdETjQCWZrZpC8Hwldj2W8aSO3Jm2GdeOUZ6ynlTN+gXN5nzS/tkmTzrJuXQcCA8eQmJhMSgq8//4pzp178uoP/4/KaVuqhQns7Kg8OjMgBlyK5G2cr6rjXPKFmHj4biB8uVf5fy0aoMxkUsouy0O/lkWL4jR1QDudOuBLduzQ3jQ9fbqVUhZaYYQ7OzOhUsGynnDeD25r+gKcCis3EkSk69AOjganTOrlYxvDjpvKyPVcxYMyVfv5ALidjSdZnPKDJR1hWjNlNLuthXZq+FI5aEuoiiV7qIglJsSSgisBPNCZOWAoDnyOI7aY4kM8o/AjUdNxboGKpZThO4IJIpFyuZjuPVVZ7PmGtzHHlDiS+IHTBKLkU8s4wxTaspH3SCKFBJL4kTMEo80b3LnDQ54TTQJVKcF7NMQea7ZpZjM0ltdt2106ATy9wS0PykOval8pWVJF4cIqZsywZNaseKZPT6JbNzP27bOmfftY/vzTODevqIBlFeB8JNzOZMafsY7gHQsXjZ+NG7RoURJFisDdu5Y6v00SO3Zo/8+TJiWybp05gYHWmrYweP/9RM6dM36hx8XFElfXEixZ8owFC55q6sdlNeWwHEz1bESv20cKyqj0jz5SppC/eBF69nwzMeqaM2cOP/74I/37K9N/VqxYEW9vb9auXcvIkSNzfXzpUDeCpUu1r2/dgoQEWLsWvvhCeW0sJpr5BA56wjLNM4Fu+kDLWjChd952qK9uDbWLQmu3jNu234fjj6GUDUyrB7s7QSs3iE9WOtMtTGHyBTiu6Sh47xQ8HQbtncHjccbj5cbpS1C/NxQvCu8Pgt3LodkACAlT7vAeOV3pVF/4qTISc8VWeBpinLs9Bw0yY+hQc4YMecnt2ynUr2/KsmWWPHmiZutW5a7KXbu0pal//knByysZX9/CtGtnyqlTeTsEYJfOlGX/PACv++B7SBm1fioHz9w2pjEdYPs5iE830mT1OKUTvc1XyujicR3h0AxoMgOehr/5OOfPUp6h3rGX8gz1vj1h92Zo0w3+MWJHdtq1fhGWaaaISrvWe2a81q0sYEgHmJ9JI+ubVrgwHHZTnqU+9+u8/z5D54/3Yxi5WulUXzhEc70fVc6bvLq7+7Qn1O+mSX/eg90/QbM+EJKu0c7ZEdy3wZ7D8MtOw8fKqezmE4Vt4PBC8PaDuca5US9Lhv5Wk96GwtawMAfToaVnT2H60Yk1/EYSuUtTT3OZy9zEATu60oqh9GQ9Bh7Ilw2rm0BtO2itMxKrV2no4AQNDA86BmBhfbgTCdv9cvX1BpmYqLh69SUzZyo19Bs34qld25IJE+x1OtQdaN7cml69AvD3T+Stt2xYvdqRJ08SOXnSCPOf6nidvFTXmDHmbN+emPbMprw2qSM0rwS9loP/c3irKqzWPF8wdarD+f2UZ6h3XKw8Q71vA+UZ6m0Wwj+Z3DRhSLVBg6gxdChHhgzh+e3blKhfn3bLlhHz5AneW7em7Rdw+jS/1q+PdfHi1Hn/fXru3s2OZs14GaL8Ta/rFFRDb90iOSGBTmvXcv6LL0jORkHVlqK0Ygh/8APJmTxj7g7aZ1uE8ZgYIujN5xShBJFoW4E82ck1DmKHE80YQEve4xzbXjuW1/U66fLin2HDb1C+DMyZAluX5k2n+qTOmnNniebcqQarR2jOndvQq4Hy7NMGs43/3avf0pTjDTwLTa8cXx92d4FW+5VyvK5aReFgd5h3FY4H5D4mExM0aY8yWuTGjThq17ZiwoSiGTrUzcxg9+7yqFQqXF2zcRHlUMOa8PFwaPhOnn/Va2lYAz4eCg0HZ75Pav7/7XrYpxk5MHo2PD4OA7vAumxkX9YUpz7v8ydfkULGdFfve7GgHG9xByPOTZmF1XWhdhFonW52qPU6E9L8EwVB8XCqpdJx7hsLC2vAnWjYbuS6Z6p//42mfv2z2NmZM2BAKbZsqU/btp7cuRPNwIHXWLOmDpMnVyQlRc3OnU+4di2clLwebmjAmE6w/WzGOhfA4n3KSPHyJWHOu7B1St53qmcVj7Gt7gi1i0HrXYa3F7aAw/2UZ6nPTdeg/Y3OTbs3QsDWHD5rbPwO9eymPc4lwX0d7DkGv+SuiAq8Xplw1y7t3Tn//BOPl1c8vr6VadfOhlOnjFsmTG/s2MIcPfqSoKCMZfzChVUcPuyIt3cCc+eGG/27V7eA2g7Q+nDGbdt94PgTKGUN0+rA7vbQ6rCSj1qZwoY2cCEY3jujPEpgWm043AWauEGcEZuAJnWF5pWh1w/gHwJv1YDVo5RnqJ80wihZY5g0qR7NmzvRq9ch/P2jeOut0qxe3ZYnT2I4edIIhYsCKKdtqQubwp1w2P6GZsl5VR0nNAoGroE1w2FyR6VNZedluOZnrPZUC4YOtWDIEOUZ6kod0IYnT1LYujWBhg1N+fhjKxo2NPIUTums7g21HbXPRs+J5mWhZkkYboSi0epuULsEtM5mNck7FEYegiWdYGF7TXvYVXganbO/10MS6I0vhTChO0VYTGmG4JfWqX6QCM4TQ0nMGEcxVlCWQTwkATXTKIkP8RzEeH+7J0TyOYewwZzmVGAirZmLO4FEMJgG2GDBfI4RRTxNKMcU2jKHowRoHll0WGemtUe8IIkU3qcFO7lOkhFmJUz1Om27vVpAhwbQYILRvlbPq9pX0mI8mMSyZUrbwM2bCbRsacqECRb8+adxBlGsdoHaNtA6k/zIygSGFIf5eVRWN2TQIFOGDjVlyJBEzW9jwrJl5prfRsmgJ00yo3lzE3r1isffX81bb5mwerWyz8mTxu1UV+rHscycqdxkduPGS2rXtmbChOL53qGeHYsXw4YNyiNW5syBrVvfbKd6TEwMPj4+jB07lvfffz9tfVJSEnZ2RrgDDOlQz9JTzWwgjo7a16nvdabpz+DyZWU6qgoV4N69zPfLrtAI5U5B73Qz2N7xh9Z5OCX3ylbQsxy8dQgCDYwMjkxUlgeRcOkZvBgJ/SrAbz4QpKlTeYdr9w+NU5ZyRhxhlyr2pfIsdJ9HcPkG3DsOYwfCIk1haOchZSlZDGJeKlMWTR0NvkaYYWrxYisWLYpP6zT/558UypdX8cUXFgY7AQAePlQTEpJC5comed6hnuG7AyHkBVQuq3SoP30OJdPNPGhqCkWLKNvySuvqUL00DF6qv75DbeU52A6jlJELoDwPu3NdGNkOvjuQdzEZ4lIRJo2HWk3BW3OXt9c/8H/snXlcVcX7+N+XfREBFzZ3RHHFXdE099JSEbNcKpc007Qys7TM0syl/HyiMsus3LO0Mpfc0BRzy11xzZRVQAQRBNnh/P6YA/deuMhyL14+39+8X695ce6Zuec83DNnZp7nmXmmR1eY+jJMedN09yrxXY+C7q2Klx/+uAiLv+4RhUt8GNWqwZ6dkJoKgcMrP6xLSfUH4KcjIrk5i9nUigIzBkGYabYRLkZ6BtyMFOnEObh+CCaMhCXLtWU83eHgJhFSeNJs08tQnn6imr0IC5+aDoEfVH5Yz+7NoVldGPGZ/vk+raFrU8gqYuA8vRR+/AvGlWMP4bp44IQjb6H1hlligTf16E4H3mZpmUOMPSCDB2SQwD3iucs8ptIALyKp2AqKZR1hkBc8vh9idHSSPu7QuBokD9cv/1t3scd67z9FmdbOMHykyCsIRpb4DCy8DPOMCOUYF5fLlSv6TtWrV7N45hmxr5mdnYZFi9wIDLzFrl1iRdDFi1m0bWvHzJk1Te5QL09f2r27Jc2aWTJihOlXyhvCzhoWPSNWm+9SJ6dcvAVt68PMJ4Wxybs2vNYPWr4PV9SqEhoNPZrC1D5ib/Wy8vjSpZxcsoR/1A2pEi9donqDBnR+9109h3puejrJN2+SfPMmcSdOMP76dVpNmMCpJUsMXvf2iRNYWltTvWFD7pVjoFqbBjjgzHDmFZ6zwBJPmtKKvnzHy8XerzuI2NTVcddzqGdwnwzuk8xtsnjAUN7jDNtJN6GhBcrWLt+9J9K/4XD1X7h1Evzbw98mXCVuZw2LnoXAL2CXGj37YrRadwYKh3qfFtDYDZJX6H/3t9fFKvbeiyt272U9YFBDePz3Esbx2SLdSIG/4+HeBAhsBD/rGHCbu8KfQ2DlFVh4pmJyFEW0PfozYa5ezeSZZ/SV3AJneoMG1vTpE/ZIVqf36CDGxFE625NYWcF/34HpY6BR/0oXwbA8OnvDWlnBf9+C6c9Do4EQp75eV3SiJmXnQFgM1Pcs3/1caYwdLvRDO7iywJLatMSHp/mNZ0A1NtalG1bYEsGBEq5mOpa1hkHu8PhRiCkl7OkJdU6Gj6NwqPepBa2rw3D1t9CoHWniAFj4L8wzcteJnByFmzdFf3j2bAqdOrnwxhveTJ4cyr59Cfj4HKBmTRtyc/NJScklLq4/YWGV63wsSvcW6jjsU8P5d1NF+jcWrkbDrdXg7wt/V9KOHKXJY0qW9YFB3vD4JogxsLi5mjXsGQap2RC4HXJLaWZOxMEH/mLhQLYJx8/laXs8a8PBNXDsHEz60DT3L21MaIjw8BwSEnLx8bGpVId6/fqW9Otnx7BhxcP9VKumYc8ed1JT8wkMTDC5/rnMHwbVg8d3QYyBf1HPHpYA956HwAbwcxiM9hZ7YnfdoQ29PPqQKBNQHzYZt214IXbWsGgEBH4Gu86LcxejoW0DmPl01XCo29lZsmhRVwIDd7FrVwQAFy/epW3bWsyc2e7/pEPdGFtqHy9oXQOGTxRlC/W/MbDwHMwz0XgMyqbjAOy7DD6zoWY1YTtIyYC4IAgzwQKdpUvtWbIkk02bRBt06VIeDRpY8O679qxbl02PHla4uWmIinIp/I6VlYb//teB6dPtaNTIeB1i2WAY5AuPfwcxOpF9bqeKEOrOdvqr1N2rCQd1USZ2gnOxcNbIwAvLnhB7oT++HmIqsGL3pysiuTnCg2zRBs3oDGHJ5b9WDgqRiGdzmUxaY89YajAXsRl4GvmkkU0k2ZwngzM04wmc+IP7+OOIL3YMoAWgrcunaMY3JPCFjo5YVvLIL1xxHk4SjanJUzRnO5cZQHPeYhu3VOd5JPdohhtP0ozv+dvg9W6QiBUW1KYacZQzrNNDKIttt09baOwJyVv1y/z2ARy+BL1nGidDafaVxESFnByl2DYKV6/m0727abZ0WdYIBrnC45cgpoT5/MNrgoMFrHtE4d4Bli61YsmSXDZtEv+7aHc0vPuuFevW5WFnB4sWWREYmF24z/rFi3m0bWvBzJlW/PmnabcdjIvL4coVfSVH6McuJr1PRSiPj/TuXZH+/ReuXoVbt8DfH/42/PqVGwsLsaWWLjk5WlthWppomL/77ju6dOmiV87SRHt0S4f6QwgPh7g46NsXCraidHKCLl3gm29K/l7btiJU9h0TNwI5uXDqH/Ctp3++aT2IrCQH0bLHxICu1w6IKEMHrkEYKGzV+nlUlcvXWTuAdLWFWnYQ+QhCeFhYiL3Ti3JHdRCPHw6ZWbDvqPH3cnCgWJizvDztjDRD1KmjoWZNDXFxj36FQh03qOmsNcAdDwXX6mIVzFl1H/U+nYT8Jypx360JfeH0TQgtMsBwUPcJKjp7Ml8RkQ8eNQ726v2LPuP8hz/jilDiu17H8Ls+YYAIDZRYuZN1S8XJCfbugqwsGBLII1kxWlL90eWO+ruM7w2Z2bCvEqN56FK0/fFSnelnLsL4t/T3dzcVZe0nnBxg7ydiRdCQ9x/NyqAJfeH0DQiN0D//+g/wvs5KfS9XCP4QRvwXTvxbvnv8SySfoL/PwCie5g53+ZO/K7xfl0ZV+6wqOGxa1hEC60KvPyGiiDFlyRX4vsh+uJeehjfPwg51IeYzh/X3gu1UE1b7Q4/9cNPIvvTo0XR8ffU7yqZNbYiMFJXC2lqDjY2m2Eq6vDzF5G0flK8vnTDBmtOn8wgNrXwHG4C1pdg/r2i/lJev7Zcc1J/SYJly/l5WDg4oRX6M/Lw8NKVcSGNhgZWtbYn5tdu2JT8vj/RyDlRjuMom3tc715sJJBPHOXYZfL9qITYWTFcNGgblVd8vy0eglpQ0LtTNh4eXqQhlqTtL/oDvQ/TzLy2GN3+EHRVcBbmsh3CO99pWjnE82nE8QAtXOBAAa/+B90+U9M3yc/ToA3x99etp06a2REZqDRMFzvQmTWzp3fsmSUmPZvLp+u2wv8gK1b3fifOrDazyr3R5dsD+IgaIvd/A+j9g9Tbx+cwVodP4NoSjan2xsoKGXhBZToPuHULZyzS9c514g1RucY3fQGflTiP6E8tJsk1ofDTEstYQ6AG9jkFEGXx2bdV5GXHqWPSZU0X6URdY3Q56HIWblbCVlIWFBltb/bb67l1Rt3v3rombmy3bt9829NVKY0J/OP1v8XGYIQraJVvjo7KaRB5jWNYHAn2g12aIMFBNnWxg7zCxInTItuLROQzRtrbYy9aUznQoe9vj5Sac6Wcuw/g5ptMpShsTGqJOHStq1rQkLq5yZ1GPH+/EnTt57NypP4nSyUnD3r3uQv8ccoesLNMqWMv8hXO81+6y7XleaA9TX38Hte/XlargsyltGtZWpY8zzI21tQU2NpYl6BRVREgTYqwt9Zl9YK8zNO5UG1b3gh7b4aaJu9yyjFN1uau+C72bgZsTbD9vvAwODpqH6oDr12ezf79+O7N3rxPr12exerXxhqdlgyGwBfT6HiKKhOY/EwPZudC3MWxR95RvWgsauMLxIouzHG3gudbw7l6MYtkTEOgLvTZAhJF2vjvqOGe8nwhBv88EE3ksQN2hvDgF+oQN4uFNIxpbtGMiP+z5hDqMIrzQSW8sGjRYYYkN4gUqqpfmoxTqnIZoiCv55HOfcmxUXwbKYttd8jN8XyRa4aXv4M0VsMMEDsjS7Cs5OXDqVB6+vvrj1qZNLYiMNL5PXdYIAmtAr8sQ8ZBXdYIbbL8HiY9wr+3S2h1ra1RbWMllTInQj/W3hCqqH5uLivpIC+0rJZunyk3t2rW5ffs2iqKgUWdJn9fx6ru7u+Pl5UVYWBjPP/+86W6sw//3DnVHR/Dx0X5u1AjatBH7oUdHw+efw/vvi1kV4eGwYAHExsLWraK8v7+oPAcPihWZXbuKEPAbNkBycgXksQOfOjryeEKbxpCUCtF3YOkm2DRXhAU5eE7sjTu4K/TSWR3r7goeNbTXae0tViBG3YF75TC8L38MRvtAQDCk5oC76lBMyRahqRo5iX0Ug29BQgbUrQaz20JGLuxSBxX/psDWCPiiG0w6LFbALO4s9gc6WE7jjqMD+DTQ+W3qQpvmkJQMd5NhzhTYfkDskVnLFaa+AHXc4RedjmnqC3DsLKSlQ//HYOksmP0fSDGBc3/HjlzmzLElKkrh8uU82rWzZMYMG1atEgqooyN8+KEtv/2Wy+3bYg/1Tz+148aNfPbuNb7HcLQXq80LaFQH2jQVe6AnpcCHr8Bvf8LtRGhcDz59A25Ew15Vab8WDruPwnfvw+RFQin7ahb8vBfiEisgjx346Oyj0cgN2jSEpDSIVq/nZA/P+sNb64p///h1uJcGa6fCR7+KkO8v9xPX2VmBVWOOjuDjrSNPQ2jTGpLuQfQtcHWF+nXBS1254ttE/L0dD/F34Np1+PcmfPsFzHwf7ibB0Kehf28Y9FwF5Cn6rnuo7/p9iE6Apb/Apjnqu34BBnRS3/UiW1k29oLHW8NTc8ovg548pbSFrq5Qv77O79NU/L19W+yZ4uQEwbvFYO2FsVC9ukgACQnFB3ClymNk/QGYOgCO/QNpmSKywdIXYfaPkFKBxROODuDTUEeeetCmhdr+3IM5r8H2fWr7UwOmjlHbHzUsoJc7hGyGyBiY+THUrqm9Vnw5J+Qa2084OUDwp2LSyguLobqDSAAJKZX4rLrBW2uKfz+6SPuSptrJbt6GmHJGx8gim9voXzCbHB6QUXjeCUeccKQWLgB4UZtMsknmPulkUh9P6uNJGLfIIJOauPIUPUjgHhGUP9Tw8o4wuiEE/KX2per4OCVH9KXxmSIVJSpd63wPK2LAq6UORq+miOsYQ1BQEseONeTdd2uyefN9One2Z9IkVyZNErPNU1PzCQl5wNKlbmRkxBMZmUPPng6MGePMjBmmn81XWl9agJMTPPusNW+9ZVql19EWfNy0nxvVgjb1IOkBRCdByDVY+qzokyLvQk9fGNMNZvwsyl+7Df/Gw7djYOZmYXAa2h76t4BBX5RPlrAdO+gyZw6pUVHcvXwZt3bt6DBjBpdXif3GrRwc6DJnDmHbt5MWF4d9rVq0nTqVanXqcP2XXwDw9PfHo0sXog8eJCc1Fc+uXekVFMTVDRvIKudANYdM7hV5B3LJIpM07hFDdWrjgz9RhJJFGjWoRzdGEcs1khCx2+rjhz3VuUM4uWTiSh38eY44rpNK+V54Y9vlzm2hUxs4cgrupUDjBrBgJtyIgOMVGWfYgo+7jjy1oU19te7chZCrsHSkWncSoWczGNMdZmwU5eNTRCpK1F2IqMA4bPnjMLoJBOwWqy6LjeOrwwgfCI7WGce3g4w87Ti+ZQ04MAT2RsNn57XXyFNEtCljCApK5NgxH959tzabN6fQubMDkybVZNIkUVesrODXXxvQvr09gwZFYGmpwd1dqK5JSXnk5Bhn4HF0AJ/62s+N6kCbZmLMHB0n/uqSkyvG0NcjtOfqeUINZ7EC3NJSfB/gRhQ8KOdYw9HegDy+qjy3S5Dnrlae1Aew4heY/6ooHxkHb48Teb8EUy5yyeA+UUXOZZJFqt55RzypTUsOY3h/H0c8scIOO1ywxAZnGgFwn2iUEraNMMTy1jC6LgSchNRccFf7wJQcyMwXYd1H14Vd8XA3W+yhHtQKDiXCRdXpUHQxeC3VZ3g1FVKMVMMWLWrG7t13iIrKwMnJitGj69CrV02efFJYQceNq8fVq6kkJGTTtasrX3zRiqCgMK5fN40n39EOfHSiEDRyhzaN1HGh7jjsMXhrVfHvd24KnZrAkStC92rsCQuehxtxYi/1Ry0PQL1aUMMJ6tcGSwvxfRAyPShH27O8D4xuBgHb1XZQHe+mZAungpMNBD8jnJ4v7IbqNiKBaBfzFbGy3d0B/o4TbWf/+vBeF/hPBbdZNbbt8XKDkLVioszMpVBbJ8JcfAX6Cl1KGxM6Omr48MPa/PbbfW7fzqNxY2s+/dSNGzey2bu3EmamqGg0MH58NdaufUCeziQGJycNwcEeODhoeOGFO1SvbqGjf+YZvaf78q5ihXnAnw+xhzWC4BhIyIS6jjDbT7WHqSFr98XC0k7iWsuuCOfkbD8RBeFgXPnkcbQtonPVhjYNVJ3rLoRcgaWjdcYZzWFMD5ixQfsdd2fwcNGOV1rXg9RMiEqEeyZ4hI6O1vj4aCPNNGpUnTZtapGUlEl0dBohIbdYuvQxMjJyiYxMpWdPL8aMacaMGYdNcG/j7BkgVtp5eGiv07oVpKZBVBTcK+JkfRimsKWGFbFR1lJ1yKvJ4jrlxVgdB2Bcd7gaCwmp0LUxfDEagvbBdRPMD9uxI4c5c+yJisrX0QHtWLVKeOCSkpRiEytzchRu387n+nXjXvblQ2B0GwjYAKlZYuU5iNXomblwPwt+OAOfPQVJGXA/Uzjgj0XCiSKBFUa0BisL2HDeCHmehNEtIeBXte9yVOXJ0u7J7u4IHo7g4yo+t3YTskfdh3tqPzm1Axy7BWk50L8RLO0Dsw+K65SHmbhxiDRiycERC4bgTBccGU8k9bDmaZw5TBpJ5OGBFZOpRSb5hKgryKOKbB9UQ3V63yCL1AqEVx9Fe84TQyJp2GFNd7xpgQeL2EcsKcRxn5fpynpOk0YWnahHa7z4BBH+pQm1aUItLnObDHJoSm3G0InDhPGgAg5+Y2278fdEKkrUHYgwybtVun1l6dJsNm2y56+/8jh4UOyhPniwFb16GRd5Zrm3COMecA1S88BdnaiZkifG8AU0toPHq8NTVw1fp7EdVLMAD2uwt4A26njuSgYYoxLu2JHHnDnW6m+j0K6dhhkzrFi1SrxoqakQEpLH0qXWZGTkEBmp0LOnBWPGWDJjhulXJQUF3eHYMV/efdedzZuTVf24FpMmafUvV1dL6te3wctL/JgFDvjbt3OIjzdOqTHWR9q5M3TqBEeOiD6zcWNR5sYNsZe6qejVqxcJCQl8+umnDB8+nD179rB7926qFwwCgfnz5/P666/j7OzMgAEDyMrK4vTp09y7d48ZM2YYLcP/9w71jh0hJET7uWCbyTVrYPx4+PRTUaFWrgQXF1EpBgzQrrzMyoKRI2HePDHbIjxcXOOzIiFtyyyPL4TohC4OelWVZw+M/xS2HoHJQfDuaPhyGvwTDc98CEd1QjhNHgLzxmo/H1YNuOM+gbXlmCX3akvx99Bg/fPjQmDtdTEQ7OEB01uJVefxGfBXHHTbJhSKAsYchKCusHOAUEoPxcGA3ZBbzkavYysI0dkjOkh1IK7ZApPnQrPGMDZQGE3v3oNTF6HHKLF3egGd/WD+61DNEa7dhFfmwoZt5ZOjJF57LZMFC2z5+ms73Nw0xMYqfPttDh99JCpLXh74+Vkydqw1Li4iPzg4l7lzsyjHFqYl0rEFhHyn/Rykds5rtsOUxeDXBMYOAhcniE2A4L9h7tciHGQBz88RTvQ/Vwin2m8H4PUKhuHr6A0h83XkGafKEwLj1VCrIx8TCvJPBiIE3E2FAQth4Sg48KGYNXv5FgR88vDVyCXK0w5CdunIo4ZOXfMjjJ8CQwbCGp0wq5vWiL/zFsP8xSJ0+VPDYck82LFJ1KEbYTB2Muwup6ESoGNTCPmvjjxTVHmCYfxS2HoUJn8B746CL6fCP7fgmflw9LL+dV4aALcSIdjIkF8dO0CITnjBoP+o8qyD8RNgyGBY84M2f5PqAJj3EcxfAO3bgb8aSeVmkdCQDX0gspzPzNj6A9DZB+Y/B9Xs4FoMvLISNvxVPjkK5fETDvFCedTQimt+gcnvqe3PcDGZ524ynLoAPYbDFTWacv8e0KSRSDGn9K+tqU+5MLafaN8E/EW0LW5u0L92w1Hlj3jSsTGELNCR5yVVngMw/itxPLK7+qyOFP/+o6Yb7RhA98LPr/ECABvZySkukkMufvgygB7YYM190rhGGPs4Rl4F9mV/VTXWHOqnf37ccVhrojCPxnD6dCaBgbdYvLg2H3xQi/DwHKZPj2fjRu3Sh5EjY1i82I0ff/SiRg1LIiNzmDMngRUrkk0uT2l9qVYma1GnfjKtItOxIYTM0n4OGiX+rjkC41fByBWweDj8OAlqOAqD05wtsCJElMvNg6eCYMlw2PG6aH9u3IGxP8DuckZ7OfDaazy2YAF9v/4aBzc30mJjCf32W/7+SDivlLw8ajRrRsuxY7GrVYvMu3e5feoUm3r04O4VEZsxLyuLZiNH0nXePKxsbUkJD+dMUBBnKzpQfQh55FGXFvjxBFbY8oAkwjnNGXYUlsklm+b0pBujsMSKNJII5wznMLApaSkY2y6nZ8CwATB/hnBmxt2BPYfg4y+p0LisYyMIeU9HHnUy9JrDMP47GPk1LH4WfpwMNaoJY/ecX2FFJUXKflUNI3hoqP75cX+K1eaZudDDE6b76YzjY6HbFmHcBRjeGNwc4EVfkQqIuA+NivQf5eX06QwCAyNYvNiDDz5wJzw8m+nTY9m4MRmAOnWsCQgQRvkLF5rqfbdXr5scOmSc5b9jS+GUKiBI3YZlze9ixWdZ+GgajAvUfj6v7o3YaywcOmX4Ow+VR8e5GPSOKs82sRd6WXj7M9EGrV8E9rYiwlSfiZBcSVHBGtGPDO4Sj+EQCh2Zhhva/WaeQCilO5lIOmWPkPGq6kw99Jj++XHnYG00ZOdDv1ow3RscLSE6A36Lg4/LvqOFUbi52bJuXTs8PW1JScklNPQ+Tz75N/v3C++mr68jixc3o0YNGyIi0lm48F+CgsJKuWrZ6egDIYu0n4PU8MBr/oTxqh1g5OPqOMzAODg9C4Z1hfmjhFE47h7sOQsfbxIr8h61PAAfPQ/j+mo/n1e/1+s9OFSO0NWvthV/DxWZ/DxuD6y9Au3dwF91rt2coF+m4fcQeR9y8mFqWwjqJVbc3UiGGSHwXQUjuBnb9vTvBk0aiBQTop+naVExmQoobUwo7Bm2jB1bDxcXS2JjcwgOfsDcuQlkZ1dexL1+/exo0MCKVav0G7P27W3x9xczbG7erKuX17DhLSIjjTMsv9pc/D30lP75cX/B2htqP+oO01uCq43aj8ZDtz+09rB/UmDwfviwHRwfJOJ7nLsLA4Lhdjl3LOroDSE6/UHQi+LvmkMw/lsYuQwWj4Qfp+qMMzbDiv3a70zuB/Oe0X4+rI6dxq2AtRXUk/Vk7OhGSMgwrYxBPYSMa64yfvx+Ro7cy+LFXfnxxyeoUcOOyMhU5sw5zooVxsekN9aeATB5Esz7QFvmcIj4O24CrC1hEr8hTGVLNSXG6jgAvh6w+BmRH5EIC/+AoArYwgzx2msPWLDAga+/dsDNzYLY2Hy+/TaLjz6q/K29XvUXfw+9rH9+3K+wVp1k++ZOYc/+bbQI/773X3jVgC15Qkexij3FiOf4agdVnheKyLMD1qp9z+T2MK+HNu/wi8XLdPaC+T2gmg1cuwuv7IYNFXjVamLFUurghhWp5HONTMYTyVF1z/SOODCOmlTHgrvkcZIHPEc4SRWwnZSF6tjxKt1xxZ50soniHovYx0U1/PwS9jOaDrxDH+ywIp5UvuYI59WJ4bnk0Y1GDKct1lhwhzR2cYU/dPZVLw+msu1WFmWxr2zdmsvkyZm8+64NX35pxz//5PPMMxkcPWrcM3xVnQR2qJX++XH/wlqdhUUvucGtbAhONnyd7xtDL51dwc63FX8bnoFIIwJUvPZaDgsWwNdfW+v8Nrl89JF2/DByZDaLF1vz44821KgBkZEKc+bksmKF6ev36dPpBAbeZPHiOnzwgaeqH99i40btjIshQ5xZs6Zh4edNm4SiNG9eHPPnl3OmXhGM9ZGmp8OwYTB/vigXFwd79sDHH1fMvlISzZs35+uvv2bRokUsWLCAZ555hpkzZ7Jy5crCMhMnTsTBwYGlS5fy9ttv4+joSOvWrZk+fbpJZNAoRYPO/x8kLi6OlStXMmnSJLwKpiOaCd1fW9PHfHIUoOgY8TQrSy73qFAmaY81TcwnRwGKTrhhjaZyQxmWhdDQSLZs2cKwYcPwG9u69C9UMorOCi7Ns+aTowDlF+2xpnrJ5R4Vik6V0Tzi/TaLEvrZRW3daV8F6o6OD6zK1Z1yOrgrA0VnYVhV6CtCv9CpPx9WgfqzRXv8Job3iX6UBDG78Fiz0YyCqCijtccaTQnTfB8RitK88LjK9aNBVaAu6zjQPivY1NeMzNAZqK5gvBklEUxmdeFxVWibQ3fqtIVLq0D90THuar42nxwFKK9qjzWaR7S/Sgkoil/hsbFOJlMQukmn7jxfBeqOzuP5hSHmE0TlWbYXHmu2P6TgI0LR+Uk0mh0lF3xEKIrWK6Mx/+MidKFOfZ5TBeqzTp3RmH6+WLlQdBa9VIW2R9HxD5h7TAgQGpqrrTt+TuYWB0VpWHisKSFiwqNEeUl7rBldcrlHhaKj12g0y8wniEpoaK+qa9OoavbUl0ou9yjQ1XE0miTzCaKiKNpwHpr3HlLwERE6Sqcf3VEF6rLOb+LDI/L0PoQbtCw8HsHah5R8NGxCu2rR3LZdKGLf9WtQ+hcqGUXRGuA1x8woCKB00x5rNJU/Iac0FMW+8FijqUAYPBOjKO0Lj6uA+YnYWK3P1tPTvD7b8lAJEf8lEolEIpFIJBKJRCKRSCQSiUQikUgkEolEIvnfRzrUJRKJRCKRSCQSiUQikUgkEolEIpFIJBKJRCIxgHSoSyQSiUQikUgkEolEIpFIJBKJRCKRSCQSiURiAOlQl0gkEolEIpFIJBKJRCKRSCQSiUQikUgkEonEANKhLpFIJBKJRCKRSCQSiUQikUgkEolEIpFIJBKJAaRDXSKRSCQSiUQikUgkEolEIpFIJBKJRCKRSCQSA0iHukQikUgkEolEIpFIJBKJRCKRSCQSiUQikUgkBpAOdYlEIpFIJBKJRCKRSCQSiUQikUgkEolEIpFIDCAd6hKJRCKRSCQSiUQikUgkEolEIpFIJBKJRCKRGEA61CUSiUQikUgkEolEIpFIJBKJRCKRSCQSiUQiMYB0qEskEolEIpFIJBKJRCKRSCQSiUQikUgkEolEYgDpUJdIJBKJRCKRSCQSiUQikUgkEolEIpFIJBKJxABW5hbgUaMo5pZAi3LA3BLoo0wytwT6KP+aWwJ9FKW6uUXg4kXtsXLWfHIYQvnF3BLoo9w3twT6KPvMe3+9upNjPjkMUeXqTpS5JdCnKvQVevVni/nkMEQQs80tgh7KaHNLoI+iNDe3CERHR5OcnExoqLklgago7QuurDKjIAaYUZUGqcBkVptbBD2qQtus1xauM58chlBeNbcE+iiKn7lFKES5Ym4JitSdKtAW6vIs280tgh7KEHNLoI+iDDa3CHooVeBx6dXnKiCPLsoMc0ugpSq0PbpUhTHhRZ3KoygNzSeIAZSXzC2BPspGc0ugj6K8Zm4R9OtPVbNpVDV7ahXScxSlhrlF0ENZZG4JivSj75lPDkPcoKW5RdBjE2PNLYIe5rbtQpH6UwV8Fboo3cwtgRZFsTe3CHooSntziwBASkoK6enpxMaaWxJISEgwtwgV4v87h7pEIpFIJBKJ5NEQHR3NqlVVyKKj4uLiYm4RJBKJRCKRSCQSiUQikUgkkkonJSWF5cuXk5NTdWalWVtb4+DgYG4xyoV0qEskEolEIpFIKoXk5GQAOnbsSP369c0rjIqLiwv16tUztxgSiUQikUgkEolEIpFIJBJJpZOenk5OTg6BgYHUrl3b3OIA4ODggLOzs7nFKBdVwqEeFhbG4cOH9c5pNBrGjBlj8ntpNCa/ZLnQjeapedZ8chSgG2pZo4k3nyAqiuJeeKzRZJhREoFueBCNxvyzd3TD5Wo0SeYTREU3dJPmAzMKoqJ8pD3WNDGfHAXoblugMX1zVi5C39Yem7sdhCJt4Sfmk6MAZZb2WPO4+eQoQPlLe6y5bj45CtCNTqupAouNdUMyajaZT44ClBHaY8v4B+YTRCXP3bHwWGPmCHuhh8Tf+vXr45fQ2rzCAEof7XGVawu9zSdHAUqY9lhTBbYv0A13qtGYf6+b0FDrwmONxvx7y+iG+DP3uw6g6AxNNV+aTw4A5XXtcVXQcfTH8OaP+a4bkl9TBWwpik60vyqn41S1d93CjIKohF7QHmuqwIISJV17rDFzyHflM+2xufU/0N+eRKOJMJscBei1hVXNHmZdcrlHhW4Yc80u88lRgPKU9rgq6Mihy7XHVc5e6GVGQVQUnfC95m5/9NqeqjZGrQI6oP640HxyFKCnk35tPjkK0N3KquqNU82/P61e/akCEd91t1zVmNlAp+gY56qcX0CzxmxyFBAb+yQAtWvXxtPT08zS/O9SJRzqaWlpREREoFF7EUVRCo8lEolEIpFIJBKJRCKRSCQSiUQikUgkEolEIjEHVWB+s0QikUgkEolEIpFIJBKJRCKRSCQSiUQikUgkVQ/pUJdIJBKJRCKRSCQSiUQikUgkEolEIpFIJBKJxAAVDvl+4cKF0guVkejo6HLdo02bNia7t0QikUgkEolEIpFIJBKJRCKRSCQSiUQikUgkhqiwQ33r1q0m3+dcURS9423bthksJx3qEolEIpFIJBKJRCKRSCQSiUQikUgkEolEIqlsKuxQL0DXCW5qDF3b1E58iUQikUgkEolEIpFIJBKJRCKRSCQSiUQikUgMYbRD3VQO7rI4zyvTeS+RSCQSiUQikUgkEolEIpFIJBKJRCKRSCQSiS7/MyvU5cp0iUQikUgkEolEIpFIJBKJRCKRSCQSiUQikTxKLMwtgEQikUgkEolEIpFIJBKJRCKRSCQSiUQikUgklUlISAgajYbk5ORyfc/kDnWNRlOhVNq1HhXVqkFQEEREQHo6HD0KHTtq893cYPVqiImBBw9g927w8THd/Xs0h+2zIOZbUH6BgE76+Y52sGwCRK+A9B/hchC80l+/jK01fDUBEldB6nr49S1wczaNfOHhtVAU92Lpq6+cAHB3t2DduurExdUiLc2NM2dqMGyYrWlubgDxvKyJiLAlPd2Oo0dt6NhRv77Mn29FbKwd6el27Ntng49P5dUnIY8FERFWpKdbcfSopZ48H35owdWrVqSlWZGUZMW+fZZ07lw58lhYwEcf2RMW5kx6uis3bjjz/vt2hflWVrBkiT2hodVJS3MlJsaFtWsd8fQ0jTyze8DJV+D+HIh/B34fBU1r6pd5uQMcHA8p74HyETjbFb/Oe4/D0Ynw4H24927F5enRCbZ/CzFHQPkXAvqVXPabj0SZN8bpn3d1hg3/hZRzcO8MfL8IHB0qKI8vbH8TYr4AZR0EtNfPd7SFZS9C9OeQ/j1cXgyv9C75erveMnydMsvTA7ZvF22bokBAQPEy8+dDbKxoG/ftK972hYeL7+qmWbPKL8tsfzg5Bu5Ph/hp8HsgNK2hzXe1gy/7wbWJkD4DIqfAF32huo3+db7oC6fHQuZbcG5c+eUooEcb2L4YYraA8hcEdNfPX/2uOK+bdi/VL9OkLmxdBAnbIWU3HP4KerWrmDyzXeFkfbjvA/He8LsXNLXWL+NuCes8IM4b0nzgTH0YVq34tZ5yhL/rQboPJDUW1yq3PH5wcjDcfxHiR8HvfaFpdf0yK7rBjeGQPgbujIKtfcFXp18a6wPKS4ZTbQPtwkPlaQ4n+8P9YRAfAL8/Bk2dSi6/63FQRkBAHR15GopzhlLtcnZpk+2tOFfDnnu1HbhX24EjrnYMsLEszLcFljnZcKe2Aym1HfjF2RY3ndGZn5UFPzrbElHLnjQ3By7VtOc1+4oHGOrRFbZvhJjLoCRBwFPaPCsrWPIhhB6BtGhRZu3X4Olh+Fo2NnDukLhOm1bll2V2AzjZEe4/DvHd4ffW0NRAm+pfHf5sB2k9IeVxONQe7HR+o22tIbIbZPSE2MdgXQvwtCl+nbJgirYQ4Kmn4O+/RZmkJPj99wrK0wm2fwcxx0EJg4AiY74P34Cr+yDtEiSdg33roXMb/TLhf4nv6qZZkysgSzPYPhNiloOyEQI66uc72sKycRC9DNLXwOVP4ZW++mVWTIAbQSL/zgrYOgN8K9DulISXlzXr1zckMdGP9PS2hIY2p0MHbaUKDHRh714fEhP9UJT2tGljb7qbF0GMw2wJC6tGeroTN25U4/33i1fMZs0s2LbNnuRkJ9LSnDh50pF69Ywfi1Wpd70jnBwB9ydD/ET4/Wlo6qLNd7WFL3vCtRch/VWIHA9fPF68X+9TF44+K64TNwGWdANLEw2jq5qO4+Vlxfr19UhMbEF6eitCQ5vQoYO2vn74oTtXrzYlLa0VSUkt2LevEZ07m64+9+gK2zdAzEVQEiBgoDbPygqWzIXQQ5AWIcqs/Qo83bVlenYT3zOUOrY1TrbSdJyifPONA4pSgzfeqJznVZZ3ffVqOxSlul7avbuCSkQRevSA7dsg5hYo+Q/pt2Ig/QHsCy7ebzVpAlt/h4Q7kJIMh/+CXr0qKM9jsP1XiLkJSjoEDNbPDwyAvdshMVrkt/Erfo2De0Sebvrmy/LLMrsvnJwO9xdB/Hz4fTw0ra1fxtYKvhoGiQsgdTH8Og7cioyZvwiE029C5qdw7q3yy6GLqXRAfx/4czakfQcp38Kh98DOuni58hIeXhdFaVgsffWVUMZWrKjJjRt1SE+vz5079di61Q1fXxPcWKU0e5jyi+E0c4jI79mi5DIdG5dTlu6w/XeIiQQlBwKG6OcHDoW9uyDxtshv06b4NV6eCAf3Q8pdUcbZCLvc7MZwshvcfwLi+8Lv7aGpo36Zg11AeUo/fVOk3+5TE452FdeJ6wtLfCvWl1Y1HdkQpdkLAwMt2LvXhsREOxTFnjZtTGeb69EFtq+FmLOgxELAAP38D9+Cq39B2g1IugL7NkHnIv+7qwts+ApS/oF7V+H7/5rf/mSqtscU49T3ZsDRPfDgFtwLL78MD6M03wBAs2awbRskJ0NaGpw8CfXqmVaOssqzenVxW9zu3aa59+z2cHI43J8I8ePg9wH643iAFT3hxvOQPgnujIetA8FXp4xfTdjYH6LGiDJXRsHrBvr/smDsGLWAp/rD33sgPQqS/oXf11ZMHkN4eVmyfr07iYnepKc3JjS0Ph06aMehbm6WrF7tTkxMIx48aMzu3V74+JimL+3RDbZvgph/QLkPAU/r5wcOhr1bITFC5LdpXfwa3o1gy49wJwxSbsGmNeBWu3i5ijB5cmMuXHiSlJRhpKQM49ixvgwYoH25Dx7sjaKM0EvffNPBNDendN/Ah6/B1T2QdgGSTsO+NcXtK00awtZvIOGE8A8c/gl6dTFettmzW3Py5CDu33+e+PgR/P57H5rqGFcbNKiGoowzmIYPb2C8AFWIFStW4OTkRG5ubuG5tLQ0rK2t6VVESSlwit+8efORyWdyh7qiKBVKZbnWo+D776F/f3jxRWjdGoKDYf9+8FKNfVu3gre3UFTbtYPISJHvYBp9GEdbuBAJU38wnP/ZWBjQFl74EppPh893Cuf5YJ2ONGic+PzsZ9DzQ/CqAVtmmka+Tp3u4uGRUJj69bsHwC+/ZAKwbl11fH2tGDIkmdat77JlSxabNzvTtq3RuwsY5Pvvrenf34IXX8yhdessgoPz2b/ftvB5vfOOFa+/bsXkydl06ZLFgwewd68NtpVk//r+e0tVnjxat84lOFhh/37LQnmuX1eYNk3kde+eS0QEBAdbUquW6WWZNcuOKVNsmTYtnebNU5g1K5133rHntdfEP+/goKF9eysWLMikffsUhg1LxdfXku3bH+J5Kgc9G8LyE+C/EvqvBWtLCB4LDjpjBAcb2HMDFh0u+To2lvDLZfjmlHHyONrDhWswdf7Dyw3tD/5tIeZ28bwf/wstm0D/cTBoEjzeCVZ+XEF5bOFCFExdZzj/s9EwwA9eWAHNZ8Pne+GrMTDYgII5/UkwtoV0dIQLF2DqVMP577wDr78OkydDly6o7xLF3qW5c8HDQ5uWLSu/LD3rwfKz4L8B+m9S685z2rrjVU2kmQeh1SoYtxMGeMMPTxW/1qpQ2HSt/DLo4mgHF27C1KCSy+z+GzyGatOoIvXsj0/AyhL6TIcOL4vr/bEE3GsUv1Zp9HSA5cngHwX9b4E1EFwXHHT0/3Ue4GsDQ2KhdSRsSYPNntBW53kNqwbrPWD1fWgTCY9Fw8b7FZDHA5ZfBf8d0H8vWFtA8ABw0Gn2z9yF8Yeh+RZ4Mhg0Ggh+EixUmTeFg8dP+mnPLQiJg4TMcspTG5b/C/77of8hVZ6e4GBZvOz0pkLZLMqmaPDYpp/2xEHIHUjIKp88t/IU3kvLplNSBp2TMjiYncfvLra0UC1XnznZMMjWkhHJmfS+l4mnhYZfdWYXdbCy4E6+wpiULFrfzWDxg2wWOdnwagWd6o6OcOESTH2neJ6DPbRvAwv+A+17w7Cx4NsEtv9o+FqfzodYA21lWenpAstvgf8Z6H8erDUQ3BYcdEan/tVhT1sIToLOp6HTafjqFuTrPLeDyfDcJfA9Ac9chMb28KsBxbAsmKItHDYM1q8Xho02beCxx2DjxgrK4wAXrsLUDw3nXw+HafOg9UDo/hxE3ILgdVCrSNsy9zPw6KxNyypgMCgco642nP/Zi2q/9TU0nwmf74GvxsFgHYPdmXAY/63If3KJ2hbM1rYFxuDiYsnRo03JyVEYOPAGLVpc4a23bnHvnlYJc3S04MiRNGbNijH+hqUwa5YNU6ZYM21aJs2bpzFrVibvvGPLa69pHW3e3hqOHHHg2rV8evV6gJ9fGgsWZJFZznbPEFXqXa8Dy0PBfzP036q2y0O1/YSXo0gzj0CrH2HcPhjQAH7QMXD41YJdAbAnEtr9BCP2wBBvWPJYxeXSpSrpOKIu+6h1OZwWLf7hrbfiuHcvr7DM9etZTJsWS+vW1+ne/SYRETkEB3tTq5aBzq4CODrAhcsw1cDESAd7aO8HCz6D9n1h2Djw9RHGzQKOnQKPlvrpu/UQFgGnzxsnW2k6ji5Dh1rj729FTEy+cTd9qDylv+sAu3fn4uGRWphGjUo3yf0dHeFCKEydZjj/nXfg9ddg8hTo4q/2W3v0+60/dggjdJ++0KGjuN4fO8DdgAG6TPJchKlvlpDvAEeOw6y5D7/OylXg0Uib3plTfll6NoblR8H/C+j/rapTvCJ00AKCAmBwS3h2LfRcDl7VYcv44tdadRI2nSu/DEUxhQ7o7wN7ZkLwJeg8Dzp9CF/t1x8bVZROnWLx8IguTP36icb/l19EfT1zJovx4xNp3jyWJ5+MF/14sDsWJrIslmYP83hZP41fDvn58NvfIv/Y9eJlvtsPYfFwupx21sJ36/WS848chVnvlXwNBwfYsxcWLSnfvQ3RswYsjwT/Y9D/pNqXdi6u46yMAo/92vSOji7s5wS7OsKeBGh3BEacgyHuwqleXqqajmyI0uyFjo4ajhzJZ9asHNPcUIfCfrSE+nE9DKbNgdZ9oPtQiIiG4J/0x/A/fgUtfaH/SBg0Fh7vAiuXGr5eqfJUsbbHFONUGxv4ZRt8U4JuYgyl+Qa8veHIEbh2TUxA8/ODBQswyRi+IvKAcKDr2uJGjTLNvXt6wfKL4P8b9N+h9qWDi9h7EmD8AWj+Ezy5AzSIMgU6XofacCcDXtgPLX+GhWdgcReYWoGJusaOUQGGDYL1y2H1T9CmFzz2NGzcUn5ZDOHiYsHRo/XIyYGBA2No0SKSt95K5N497Vh061ZPvL2tCQiIpV27KCIjc9m/vw4ODsYrxYXvVgkTAB0d1XHYB4bzHRwgeKuwk/UZBI89Id61HZuF7m4st25lMHt2KB06BNOxYzAHDtxh27butGihdRyvXHkTD49themddy4Yf2OV0nwD1yNg2kfQehB0HwkRMRC8Wr9t/mOlOm4eAx2Giuv9sRLcjfTt9OzpwfLl1/D330n//sFYW2sIDn4CB/Vli45+gIfHJr30wQfnSE3NYffuyrdvPEp69+5NWloap0+fLjx3+PBhPDw8OHHiBJk6je3BgwepX78+jRuXc+akERhtAdBdPa4oCra2tvTr14+ORaduPYTQ0FB+//33wmspioJGo+GDD0p4uysJOzt45hnhLD+sOvjmz4fBg2HKFFi3Drp2hZYt4coVkT9lCty+LTqqH0oY9JeHPedFKoluTWFtCBxS7//dfrFCvbMP7DgN1R1gQh8Y/QUcvCTKjF8O176ALk3gxL/GyZeYqKDrups924YbN3I5dEgMQLt1s2bKlFROnRLGy4ULH/Dmmw506GDN+fO5hi5ZYcTzsiQgIJvDh0XHNH9+LoMHWzJlihVz5+YyfboVH3+cy/btIn/MmGzi4+0YOtSSTZvyHnb5CsqjISAgj8OHFVWefAYPtmDKFAvmzs3np5/0R5ozZuQxcaI1fn4aDhww7aSRbt2s2LYth127xLOJjMxn1KgcOne2ArK4f1/hiSdS9b4zbdoDTp1ypl49C6KjjTM8DVyv/3ncFkiYDR284HCkOPfFcfG3Z8OSrzPvoPg7tq1R4rDnL5Eehpc7LPsAnhwPO7/Tz2vWGAb2hI6BcEZ9t177CHZ9DzOXQNydcsoTKlJJdGsCa4/AIVUB/i5EzBDu7A07dIw5berDWwOh44dwuwLO60J59ohUEtOnw8cfi5WbAGPGQHw8DB0KmzZpy6WmivPGMPAX/c/jdkLC69DBHQ7fgsuJMHyrNj8sGeb8BRsGidn1eeqr9Maf4m9tB/AzYjblnhMiPYysHIhPMpxX0xma1oMJn8DFMHFu9gqYGgitGpX8vZIYWGScNC4eEhpDBzs4nCHOdbOHKfFwSh1jLEyCN12hgy2czwJL4Iva8HYCrNJxol/NLp8sAAODi8hzGBJGQ4eacFitC9/9o82PTIP3z0BoIDSsBmGpkJkHmRnaMrXsoI8nTDhSAXmKvOfjTkLCUOhQAw4naM+3cYG3fKHjPrhdZDVXZp5IhfLYQh83mFCBiT1/ZOv3NXMf5DDZwRp/a0tu5efykr0VL6RkcTBHtLkT7mdxpZYDXawtOJGTz+rMXNBRzMPz8vC3ziXQzoqvM8rfr+7ZL5Ih7qfCE8P0z017B079CfXqQLRO3RvQD57oDc+MFbO7K8LAInrRuKuQ0AM6VIfDyeJcUBP4Mho+idSWu17EB/F5tPY4KhOWRMLW1mClgdxydq3GtoWWlvDFF/D227BqlfZ7V6+WT45CeQ6JVBI/bdf/PGMhTBwBfs3gwDHt+dQHEJ9YMRkKZbkgUkl0awJrD8Mh9X/97oBYod65Mew4qz1XQGQivL8ZQj+BhrUhrJz9aFFmzXInOjqHl17SVpaICP1GbcMG0eA2aFDBEAbloFs3S7Zty2XXLvGeRkbmMmpULp07a70OCxfasWtXLrNmaWfqhIWZZrxcpd71bfqfx+2HhJehgxscjoXLSTB8lzY/LAXmHIcNT2r79RFNIDQRFpwUZW6mwDtHYfNAmH8C0oy0hVclHWfWrNpqXb5VeC4iQv8f/OmnZL3PM2bEMnFiDfz87DlwIM1oGfb8KZIh7qfCE8/qn5s2G07t09afnByI13mnrazE6rxl3xstWqk6TgFeXhqWLXPkySdT2bnTQJgeE1GWdx0gK0shPt70iwRK7bfegI8X6vRbYyH+trbfqlkTmjaFCRPh4kVRZvZsmPoqtGpV/nH9nmCRSmLDT+Jvg/oPv056ugl0ipX6n8f9BAkLoENdOBwG1e1gQhcYvQEO3hBlxv8M12ZDlwZwQu1O3lCjzNSuBn5GRlUxhQ4YNBq+3Aef/KH93nUjJj3pkpiobwOYPduZGzdyOHRIDEa/+07bvkRGwvvv3yM0tA4NG1qZpP8qzR4Wn6z/OaATHLwM4Wp7k5OrX8bKUpRZVoGVmnv2ilQSG1TnXoOHLAr7Qo2s0PPx8t+/KAOL6CHjQiGhnzpuvqc9n54H8SXodCM8ITQVFqj1/Wa6cLhvbgfz/4W0cpjIqpqOXJSy2As3bBD/cIMGpluZXsCegyKVxE9FolfNmAcTR4NfCzhwBJr5wMA+0HEAnFHbjNfeh10bYOZHEFfetrmKtT2mGKfOUyeqjDWR47iA0nwDc+fCwoWwa5d+RMawMNPKUR55ALKyjO83DTHwD/3P4/6EhJeEk/xwnDj33RVtfmQqvH8SQkdAQycIuw+riyxyCb8PXd1hmDcsv1Q+eYwdo1pawhcL4e35sEpnksbV6+WToyRmzXIlOjqXl17SPoyICG3/2KSJNV272tOyZSRXrojGesqUO9y+3YhRo5z44YcKrHLRYc8+kUpiw8/ib0njsMf8oWF9aNdd2HcBxk6Ge1HQpyf8GWKUePzxR6ze5/ffv8iUKY3x96/JlSvif09PzyM+vnJmp5TmG/hph/7nGYth4nPg5wsHjkNNV2jaCCa8BxdVO+fs/8DUF6BVU+NsLgMH6j+4ceOOkJAwig4danL4cDz5+Qrx8Rl6ZQID67N5czgPHphWHzU3vr6+eHp6EhISgr+/PyBWogcEBHDgwAH+/vvvwpXqISEh9O7dm/z8fD755BNWrlzJ7du3adq0KXPnzmX48OGF1921axfTp08nOjoaf39/xo4dWyH5KjyPtE2bNsVWjWs0GrKzs9m1axfr1q0rd/x5c2NlJVLRGWUZGdC9u3YWt26+oohOq3uR8EaVxbHrMKSjWHUO0KslNPWEYNXA2cEbbKxgv85A6Z9YiEyArk1NK4u1Nbzwgj2rVmlf5mPHchgxwg5XVw0aDYwYYYudnYaQkAp4aUpBPC+Ngeel0L27BY0aafD01LB/v1YruH8fTpzIp2tXkwdnKEWe4gN0a2uYNMmC5GSFCxdMb1w5diyXvn2taNJE/K9+fpZ0727F7t0lWxydnTXk5yskJ5t+FUfBgsukjIeXMxcaDaxfCku/hys3iud3bQf3UrTOdID9x8SM+C4GwrsZy7F/YUg78HIVn3s1h6YeYjZwAfY2sHGKmGUcn2J6GQpo1Ag8PcUM2ALEuyQmGekyezYkJsLZszBzphisGouz2vYmPWQ85WwL97O1zvRHTa+2EL8Nrm2Ar2dADZ2Q53dT4FokjHkSHOzEb/JKgDASnPmnxEuWGWe1OUvSMYAcy4ARTuBqIWYHj3ACOw2EqO9fezuoaw35wNn6EOsNu+pASxP4mJzVSAJJJazkdrCC8U2EIz36geEyY3wgPRd+jTChPDrdkL0lbPSHqWegLOP0MQ2FcerXW6UWfSgWwAhbSxw1cDwnjw5WFthoNOzXcbr/k6cQmZePv3XJ/ZSzRsM9UyxDKgPO1UU7l6yj17nVhu8+hxcnC4O3ye6lTvNMUrup2tbg7wx3cuBoB7jdHULawWMPCZfpagXPu8OxlPI700ujLG1h+/ZQt674zc6eFaHhd+0SkzErG2trmDRSPKsLRRz4sydD4hk4uwNmvmyatrkox/6FIe11+q0War910XB5B1sY31M40qPvGn//IUOcOX36AZs3NyI+vjVnzzZj4sSapX+xkjh2LK/IOMyC7t0t2b1bKLsaDTz9tBXXr+ezZ48D8fHV+PtvRwICKieqU2k80ndd7WvK06/bWkJmETtBRi7YWwnHvCkxt44zZEh1Tp9OZ/Pm+sTHt+Ds2SZMnFjycj1raw2TJtUgOTmPCxfMM9AurD8ljEeHDICaNcRKIGMpi46j0cD69dVYujSDK1dMO4m6uDwPf9cL6NXLivj4aly75sjXX9tRo4bpHThFKUu/dfeuWGE3ZoxYlWRpCa+8IozyZ85Uuogl8vwISIiCi6dg0XywN8GOBs7qNZLU9qxDXdV2omNE/+cORCZBVzNFzixNB6ztJFaJ3rkPR+eKCdUh78FjJrb1QEFb6MiqVYYn6Tg4aBg/vhphYTlERz96Q66bMzzdHn44UHKZIR2hphOsfohj83+VouPmAp73Eo72iz1gkS/Y66gUthaQWcTUk5EndKMORoSjLwlz6sil2QurEtbWMOkF0YdeUB2TXTvCvWStMx1g/2HV/mQgaqGxVKW2xxCGxqmVRWm+ATGGh+vXxYS2+Hix1ZehLVcehTwF9OolZLl2Db7+GmqYKNJDUQrH8Q+z9zQTE2SjHzLH09m25GuYkqJj1PZ+UNdL1dcPQOwl2PUztGxmmvsNGeLI6dOZbN7sQXx8I86ercfEidrGz9ZWjP8yM7XGCuFbUujevfK2IysrtjZaX1cBmZni9+reteTvVQQLCw0jRtTD0dGK48e1BoHnn69PQsJQLl4cwKJFrbG3rwTjRRmwtoZJI1T7ijop5O49uHYTxgwVEREsLeGVkcKRrusvMAXO6suWVMKL0r59Tdq1q8kPPxi5eraK0rt3bw4e1A7gDh48SK9evejZs2fh+YyMDE6cOEHv3r1ZvHgx69atY8WKFVy+fJk333yTF154gUOHxAqV6Ohohg0bxuDBgzl//jwTJ05k9uzZFZKtwhaboUOH0qpVK/744w9SUlL0VpcDhIeH880339CnTx+6dDHBRgKPgLQ0OHZMzO66elV0RKNGCWXzxg3RKUVGwuLFQsl88ADefFPskeLp+WhkfO0HWPmK2FMqJ1eE1nl5BRxWDaceLmIWaEoRo1d8isgzJUOH2uLiomHNGm2v/txzKWza5ExSkhs5OQrp6QqBgcncvGl6Q4Z4XnnMnWvF1avZ6vOypGtXC27cUPDwEHWy6EqA+HgFDw+Ti6PKk8/cuRZcvZqnyqOha1cNN3QctE8/reHnny1xcIC4OOjfP4+7JjAkF2XJkkyqV9dw7ZozeXmikZ8zJ4ONGw0b/mxt4ZNPHPjpp+zCWWimQqOBzwfCkUi4bOQKtMpi1iTIzYMvSwiD61EL7hR5Tnl5kJQCHibaS0aX19bDypfEHleF7/oqOKyjXAaNForP9rOmv78uBe9L0dmu8fHovUtffikcSElJ0K2baCs9PeEtI/Ya1ACf94Uj6sp0Q9S0h7ndYOX5it/HGPacgC1/QXgcNPaCRZPE/nBdp4hBJ0C/GbB1IaTuEefuJMOAtyHZyEVkGuDz2nAkAy7rvNrPxcEmT0jygRwF0vMhMBZuqgYXb9XJPK8mzEiAiBx4yxVC6kHTcLiXX+xWZZenCxyJh8vJ+nlTmsGnnaCaNVxLhv57IKeE+0xoAhvD9FeJV1iednAkAS7rGPmD2sGxu7A9tsSv6svTCDZGVVyeVlYajrraY6eBNAWeSc7iap5CW2sLshSFlCKO3/h8BY8SYmB3tbbgOTtLBidXvvZpawuffAg//YZev7BmOaxYDWfOQwMT7ROnAT5vAkeS4bI60cJb1SfnNYKZN+B8KozxEPuptzoBN3T8Rksaw7S64GgJx1NgkOmighVSlrbQ21uVeR7MmCH2uXvrLQgJESsA793D5DzdB37+Qih0cXeg/xih6BXw5Vo4e0n0V93aw+K3wdMN3lpoWjleWwMrJ4o91gv7re/hcJEVCVP6waejoZodXIuF/osgxwTDRG9vW6ZMqc1nn91h0aLbdOrkwJdf1iM7W2HdOiOXOVWAJUuy1XGYo844LIuNG4XTwc1Ng5OThtmzbXn//SxmzcplwAArtmyxp3fvdP76q3KdgLo88nf9cTiirkw3RE07mNsJVuoYJfZGwfS2MLIpbP4XPBzgg84iz9PR4GUqjLl1HG9vG6ZMqclnnyWyaFGYWpe91LqsfbmfftqJn3+uj4ODBXFxufTvH8bdu4+u3hRgawuffAA/bYHUEsY1E56HvQchJs74+5VFx5k1y47cXPjyy8rvK0t71wH27Mlly5ZcwsPzadzYgkWLbNm924GuXR8UjhUrg4f2Wzrh3Pv1F3uop95Xx6l3YMBAsS+sOdi4GSKjIDYO/FrBJx+Db1N4xohViBoNfB4AR8Lgsrqi0qM6ZOVCShEnRXyayDMHpemA3uoEonmBMPMnOB8FYx6DP2dBq/fghglXJw4d6oCLiwVr1ui/2FOmOPHpp65Uq2bBtWs59O8fT47pI2aXytiekJoJWx6ySnpCH9h7HmIe/TCgUtEAn7eAI0lwWefxbIyFyAyIzRLh3T/xBV9HeEa1F+xNhOmNYKQnbI4DD1v4oInI8zTxtojm1JGhdHthVeDpfvDzN+oYPl6Edr+r1lWP2iXYn5LBw8QTCaFqtT1FKWmcWlmU5htwcwMnJ7GY5P33xSr1AQNgyxbo3Rv+KiUypqnlAeHY37IFwsOhcWNYtEiEgO/aFZOOMzTA593hSFzxcfyUlvBpN9Xec0+Ehy/J3tPVA0Y0hqd3Gc43FYbGqN7qhLl5b8OMDyAiCt56FUK2QlN/MZHFGLy9rZkyxZnPPktm0aJ7dOpky5df1lbH8alcu5ZNZGQOixfX5JVX7vDgQT5vvulKvXrWeHqafqJuefn7lPB3ffIRvDdfjJ+WzBeTOgztRV8RWrVy5vjxvtjZWZKWlktg4FGuXhWzZTZujCQyMp3Y2Az8/Fz45BM/fH2r88wzR01z8zLwdG/4OUjHvjJO377Sbxxs/RpSz6t9110YMMG0E340Gvj8884cORLP5aLGVZUJE5pw5Uoyx48nGMz/X6d3795Mnz6d3NxcMjIyOHfuHD179iQnJ4cVK1YAcPz4cbKysujVqxctWrRg//79dFVnDXt7e3PkyBG+/fZbevbsyTfffEPjxo3573//C4hV8BcvXuSTTz4pt2xGLYHw8fHh1VdfZd++fZxRpy/rOtazs7PZu3cvV65cYciQIdSsab5VImXlxRdFiM7YWMjNFc6hn36CDh3E52HDRGj3e/fE5/37xcojU+wjURZeGwj+TWHwErHq/PEWsHwixN6DP0tYAVRZTJhgz+7d2cTFaXvIBQuq4eJiQd++90hMzGfoUFs2b3amR497XLpk+lnLL76Yw6pV1sTG2pObq3D2rMJPP+XRoYN5Zpy++GIeq1ZZEhtrrSOPQocO2gpy8KBC27a51Kql4eWXLdi82ZIuXXJJMHH799xzNjz/vA2jRz/g8uU82ra15PPPHYiNzWfdOv1O2soKNm+uhkYDU6aUsGTUCJY/Da3coLsJtkWoDNq3hDfGQvuh5pZEy2v9wb8xDP4MIu/C476wfAzEJsOfl8VeVn1aQLtS9h98lATp7J928SJkZ8O338K774rjirD8CWhVG7qXsK+rkw3sHA5X7sK8Rze+0mOTzqqIS2EQehPCNokZ+QdU48XyN4WBoMc0yMiGiU/DjsXQ6RW4bcSEmuVu0MoWukfrn19QE1wsoG80JObB0GpiD/Ue0XApWxueZmGS2F8dYHw83GoEzzrBygpGPFjeFVq5QvedxfN+vAn7YsHTHma2hs294bGdkFXE9u9fG1q4wosmUESXd4BWztBdJyTYYC8Rvr3dQ8KR6slTE1o4w4ulhDR8GP/kKrRPysBZo+EZO0tWO9vSuwLhOlpaavjdxY6PHuSwL7tynSZWVrB5lRjfTJmpPf/aJHCqBosfsl9iRVjeFFo5QnedCUIF9fTbGFijOmHO34C+NeAlT3hPJ6ze0ij4IRYa2MGHjWBdCxj0kLCGlUXBHqILFwqjBsD48XDrFjz7LKxcWfJ3K8rB49B2ENRyhZdHwuZl0GUYJKhtS5BO33vxGmTnwLcfw7tLK942G+K1J8XKlcH/UceozWH5OHWMquMY/fEo7LsEni4w82nY/AY8Nk9MCDUGCws4fTqdOXPETJnz5zNo1cqeyZNrmcWh/txzVjz/vDWjR2dw+XK+Og6zJTZWYd26nMK6sm1bLp9/Lh7EhQvZdOtmyeTJNvz116NZafzI3/Ve0KomdP/VcL6TDewcAleSYJ5Ou7svCt4+Cit6w/onRN+x4CQ8Xsc0+wbrYm4dR9TlDObMEV6/8+czadXKjsmTa+g51A8eTKNt23+pVcuKl1+uwebNDejS5V8SEh6dU93KCjZ/r9aftw2XqeMJT/aG5yaa5p6l6Tjt21vyxht2tG9fieGb9OR5+LsOsGmTto5cupRPaGgeYWFO9OplyYEDj34SRFGWfyWc6D0eFyveJk6EHduhU2exvd2j5judLVMuXYa423BgN3g3grDwil1z+TBo5Qndjdgi61FQmg5YMN/y2wOwRg39ez4S+raAlx6H934p8dLlZsIEJ3bvziAuTr+O/vhjGvv2ZeDpacnMmc5s3lybxx67TVbWo3VSvtQHfjxc8vihTg14si0899kjFeuRsLwltKoG3f/WP/+djk54KRXisuBAF/B2gLB02JcIb1+DFa1gfRvIyhfh3x+vISKXmRJz6sgFVDV7YVEOHoW2/cXevC8/D5u/hS5Pa8fwj5Kq1PboUtI4tbJ5mG9AO4aHzz8XxxcuiEUlkyeb3qFemjygvw3jpUsQGipC0PfqBQceEsWjvCx/HFrVgO6/F8/78V/Ydws8HWBmW9j8BDz2e3F7T8sasG0gzD8N+6KLX8dUlDRGLdTXg2CLGs5+/Otw6wI8OwRWrjPuvhYWGk6fzmTOHPEinz+fRatWtkye7My6damqbymOH35w5969xuTmKuzfn86uXQ8emW/pYSTehWfHwjdB8Ppk4TD+6Vc4c850kzP++SeVtm2DcXa2Zvjwuqxd25mePQ9y9ep9vvtOa+S5dCmFuLgMDhzojbe3I2FhpvdXGOLg39B2iNo2Pwebv4AuwyFBNSks/1A40XuMgoxMERJ+x7fQaRjcNpFvZ/lyf1q1cqV7d8OzTuzsLBk92psFCyphJUkVoVevXjx48IBTp05x7949mjZtSu3atenZsyfjx48nMzOTkJAQvL29SUtLIz09nf799feoy87Opl07Edbl6tWrxRZ9dy0adreMGD2KsLGx4emnn2bs2LG4uroWrlDXaDRoNBoURSEqKooVK1Zw9OjRYmHiqxoFHY6jo1h53qWLCPFQsBfK2bPQrh04O4uVlwMHin3HKmuvFF3sbGDRaJixFv44AxejYPke2HQMZg4RZW4ng601ODvof9fdWeSZivr1LejXz4bvv9ca+7y9LXntNQdeeimFAweyCQ3N5aOPHnD6dA5Tp1ZO2JKwMIVevbJxdMygXr1MunTJUp+Xwu3boq65u+v3SO7umkozDIj6k4ejYw716uXSpUteoTwFpKfDzZtw4oTCxIl55ObChAmmH9AvXWrPkiWZbNqUzaVLeWzYkE1QUCbvvqv/LAqc6Q0aWNC/f6rJZ3wuexoG+ULv1RDzCMIzVYQencCtJkQdgpyrIjWsC/+dDeFqdJHbiaKMLpaWUMPZdB1mAXbWsOhZmLER/jgPF6Nh+X7YdAJmDhRl+rSAxm6QvAJyVosE8NvrcPBd08pT8L64F5mN6O7+cCPbiROi/WzYsGL3XdYPBjWG3j9BjIF6Wc0G9jwHqdkQuAVyK3GFT3kIj4OEZPCpKz73aQ+DusLIeXDsEpy7DlODhNFg7ICK32eZGwxyhN7REKNjy/e2htdc4aV4OJABodnwURKczoSpLqJMnFr+is7CrWwFwnKgfgWn2i3zh0H1oPduiDEQGvh+Dty4L/ZVH34AmjlDoIFwmhN94dxdOGukIWFZexjkBb0PQoyOX6qPOzSuBsmBkPOsSAC/dYODvQ3I4w3n7sFZI1YW5wA38xTO5uYzJy2HCzn5vO5gze08BVuNBuciipO7hYbbRTxEzS017HO157v0HBY9qNxlQAWGiwb1oP8w/ZUAfXpA106QdRty7sANNRzs6QNiNWtFWNYUBtWC3ucgRqdOxqnO3itF9KarD6C+nf65uznwbwbsvwcjL8PTtcDfxKvLytIWxqmO/ys6+8hlZ4vxQf36ppWngPQMuBkJJ87DxNki2sqE50ouf+K82jbXMZ0MdtawaATM2AB/nFX7rWDY9LdwmutyPwNu3BYr14d/Ds08IbCj8TLExeVw5Yr+MsOrVzOpX7/y90s3xNKldixZksWmTblcupTPhg05BAVl8+67Qp7ERIWcHKVYOOqrV/OpX//RWFMe+bveEwY1gt5bIMbA6rNq1rAnQO3Xdxbv14POgcu3UH811FoJ21T9K8yEftOqoOPExeVyRbeDxnBdTk9XuHkzmxMn0pk48Ra5uQoTJlRSfE8DFBgqG9SF/sNLXp0+fpRYcbf9Ift8l4fSdJwePaxwc9MQFeVCTo4rOTmuNGxoyX//60B4uOljGpf2rhsiPFwhISEfH5/Kdeo8tN9SVxP26QODBsHIUWIF3LlzMHWqcKxXcFtBk3NC3Tvap3HFvr9sGAxqAb2/hhid9uL2fbC10m5NVoB7NZH3qCmLDhiXLP5eKRJl6Woc1Dfh+pX69S3p18+O778vroTdv69w40Yuhw9nMXz4HZo1syYw0MHAVSqP7s2gWR34voR9dAHG94a7qbD99KOT61GwrAUMcoPeJyCmlK2rTiSLvz46jycoHFz2Qf2DUGs/bFPbgjATbu1iiEelI+vyMHthVSA9A25GwImzMPEt4SidoEbiuJ1Qgv3JBW6bOOpjVWp7dHnYOLWyeZhvIDERcnL09T0Qq8crS98rzVdRlPBwSEgAHx/TybCsBwxqCL23QYwBv+b9bLiRIvZVH74XmrlCYCP9Ms1d4c8hsPIKLKzEbWUeNkaNU9u8KzrbvWRnQ1gk1K9r/L3FOF5/1vrVq9nUr29d+Pns2SzatYvC2fkmnp7hDBwYS82aloSFmSHciwH2HQCfNuDmDbUawZhJUMcLwiJMc/2cnHxu3kzj7Nl7vPfeRS5cSOaNNwzvH3HihDAM+vg4mebmZSA9A25GqfaV91T7imo37NMVBvWGkW/CsbNw7gpMnScc62MDTXP/Zcu6MGhQPXr33kOMIeMqMHx4AxwcLFm3zsCetf9H8PHxoW7duhw8eJCDBw/Ss2dPALy8vKhXrx7Hjh3j4MGD9OnTh7Q08ZLv3LmT8+fPF6YrV67w668lzOQ3ApNpcA0aNGDKlCl07dq1cJU6aFes5+bm8ueff/LDDz+QYOqluJVAerpQQF1c4MknxcwzXe7fF52ojw907Fg8vzKwthR7fBWdEZSXr50teCYMsnOhb2ttflMvaFAbjl/HZIwfb8+dO/ns3Kk19jg4CCGKyZennQFWWeg/L0u2bcsjPFwhLk6hb1/tXhtOTtCliwXHj1eu501fHg3btpV8PwsLEYbG1Dg4aEp9FgXO9CZNLOjXL5WkJNMqFsuehsDm0Gc1RCSb9NImZf1W8BskZqAVpJjbYj/1J18SZY6fA1dnsZq9gD5dxe95wsQTwgrf9SKPQ/ddX/IH+M2Btu9rE8CbP8L470wrT3i4cBL17as9J94lOH685O+1bSvq3J0KKHzL+kFgU+jzM0QYMJQ72UDwc5CdB0N+Kz7r1ZzUqQ01q0Oc6hB2UI10RZ9nvs7zLC/L3CCwGvS5BRFFFsapTXGxVQZ5aDv9M1li/zxfHVuvFdDQGiIrsNBumb9wjvfZAxFlCNGnQcwUti3SNzhawXON4Acj+6tl7SGwDvQ5CBFFlL0lV8FvL7QN1iaAN8/D+JMG5KkHP5h40pyFBmw1cCY3n2xFoa+Ntp9qaqmhgaUFf+vER2thqeFPV3vWZeYw9xE505s0hn6BkFRkIsHrs6HN49C2p0hPjRDnR0yAORUIIb6sKQTWhj7nIKKIUTAiUzjYfYvYaJs6QORDDIgF1apo/TKWsrSFZ86IPcZ8fbVlrKzExKLISNPKUxIWGrH3WUm0baG2zSZc/WJtVXq/ZQiNRm0LrEsuU1aOHn2Ar6++V6RpU1siI80TOs/B4eFj4pwcOHUqD19f/YratKkFkZGVb+h95O96TwhsDH22QIQBR5WTDQQPVfv1Px7er8c9EFtwjGoKUalw1oSqZVXQcURd1lcOylKXhU7xaFbdFRgqm3hDv+HF648u40fBus3CUWAKStNx1q/Pxs/vPm3balNMTD5Ll2by5JOmt8aX9q4bok4dDTVraoiLq9x3vSz9loPaxxb9H/LzK1+HLytt/cTfuApMil82DAJbQ59vIKJIsJIzt1TbiY4Nt2ltaFADjj+iPluXsuiAEYkifLlvkS0Hm3pAZAnbY1WE8eOduHMnj507Hx4tpbAft320y+om9IXTNyH0Ic9pfG9Yd0gYwv+vsKwFBHpAnxMQUYZANm3VyaVxBna/iFP1wVFeEJUBZys5qMej0JFLwpC9sCqiaxs8fhpcXaC9jm23T3fV/nTOtPetSm1PAaWNUx8VhnwDYgyvr++B2N6rsvW90nwVBdSpIxb/FUz2NpZlPYRzvM82iCjDUEqjJludra9buMLBAFj7D7xvRPS/0ihtjHrmgqqv++h/p2E9iDTBivmjRzPx9dVXxps2tSYysrgd5/79fBIT8/DxsaZjR1u2bXs0K7DLyt0kSEmB3o+DW23YXkkh+i0sNCXqMG3bugIQF/doorcZwsJCa19xUOdSV9a4edmyLgQG1qdPnz1EPMS4OmFCU7ZvjyYxsfK3tzInvXv3JiQkhJCQEHr16lV4/vHHH2f37t2cPHmS3r1706JFC2xtbYmKisLHx0cv1asn9q5r3rw5J0/qG33//rtIqJ8yYlTI92IXs7LiiSeeoGXLlmzbto2EhITCleogwsDHxMTw7bff0qNHD3r06IFFVdHSVJ54QigE//wjnOVLl4q901erqz+HDxezvKKioHVr+OIL2LoV9u0zzf0d7cBHZ0/iRm7QpiEkpUF0IoRchqUvilmbkYnQswWM6SlWrQPcT4cfDsBnY8V37mfAspfg2D9w4l/TyKjRCGPT2rWZ5OmMQ69dy+Xff3P59tvqzJyZyt27CkOH2tK/vw2DBiWb5uZFeOIJC/V5Kfj4aFi61Jpr1xRWrxaCff55Lu+/b8W//+YTHq6wYIE1sbEKW7dWzgD6iSc0ReSxVOVRcHCAOXMs2L5dOPpr1YKpUy2pUwd++cX0Dv4dO3KYM8eeqKh8Ll/Oo107S2bMsGPVKtHYWlnBr79Wo317SwYNSsPSUruaPylJMXoftOWDYHRrCPhJrDRyrybOp2RCpmpQc68GHtXAR11M09odUrMgKgXuqX1lPWeoYQ/1XcDSAtqo78eNJHhQDhu5owP46KyGbVQX2jQXe1BFx4m/uuTkilXp19Wwgtduwu5D8N1CmPyBcB589QH8vFPsqVJeHG3BR2e1SKPa0KY+JD2A6LsQchWWjtR515vBmO5i1jBAfIpIRYm6K5SdcsvjqD97tVEjaNNG7IceHS1CWb3/Pvz7rzDOLVggwk1t3SrK+/sL49zBg2LmcNeuIgT8hg3l339xeX8Y3QICtqh1R90bNSVL1B0nGwgeAQ5W8MIfUN1WJICEdK0i2NhFrGL3cAR7K2ij7vt1JbHkvZwM/jb24KOzkrORJ7TxgaT7kJQKH46D3w7B7SSxP9ynU+BGDOxV++njl+FeKqx9Dz5aAxlZ8PJgcZ2dD5mQUOLv4wajnSAgFlLzwV1VUlLyIVOBa9nwbzZ86wYzE+GuGvK9vwMMUmeUp+bDihSYXxOicyEyB95W38NfymlrXt4VRntDwJ+QmgPu6gAzJVs4PBo5wYhGEBwDCZlQ1xFm+0FGLuy6pX+tEY3ASgMbbpb/dymUpwOMrg8BRyA1F9xVY01KjpAnPlOkokSlF3e+j6inymOEYrywmjV7svKIylNwsoBRdlb0srZg4INs7iuwKiOX/zjZkJSfxX0FvnCy4Vh2HifUStrSUsP+GvYEZ+URlJ6Lu2rVyFMUEitgh3d0BB+dmeKNGkCbVkLRjIuHX9dA+zYwaKRYBeGuvjdJ94TxIDoGiNF+X50Iys1wiCnjnvQFLG8Ko90h4CKk5oG7qqSk5AoDH8DSSJjvDRfS4HwajPWAZg4wXA0h3rk6dHKCIylwLxca28OCRnAjXeylXl6MbQtTU2HFCpg/X5SPjIS31RBzv1QgFGKxvque2neliH285kyF7ftFP1SrBkx9Eep4wC+qsuvfDrq0FWHhUx9A1/YQNAc2bC3/Hl+OtkXGqLWhTQN1jHoXQq7A0tE6/VZzGNNDrFoHMaYd4Q/BFyHhPtStAbOHiPK7zpf/tylKUNAdjh3z5d133dm8OZnOnR2YNKkWkyZFFZZxdbWkfn0bvLyEB7/AAX/7dg7x8aYN271jRy5z5tgSFaXojMNsWLVKO8BaujSbTZvs+euvPA4eFHuoDx5sRa9exi8Tq1Lvei8Y7QsBf6j9hOrAS8kS7XKBM93BCl4Ihuo2IgEkZGj79ZntYU+k+DysMczuCM/tNl3I96qi4wQFJXLsmA/vvlubzZtT1Lpck0mTRKfp4KBhzhx3tm+/T1xcDrVqWTF1ak3q1LHml19MI0+x+lO/SP1ZBe39YNDzhutPAX16gHdD+H6DScQCStdxkpIUkpL0db2cHIXbt/O5fr0ydK6Hv+uOjvDhh7b89lsut2+LPdQ//dSOGzfy2bvX+Han1H7rC3h/jk6/9ZF+v3X8uNjObu0a+GiBWJn+8sviOjsNbOFTJnl0VpI3agBt/FR5boGrK9SvB16qU8ZX3b/5drzYF9a7EYweAbv2wt274Ncagj6BQ4fh4qXi93sYy5+B0e0hYJXQMd3VxU0pmZCZA/cz4YcT8NkQSEoXn5cFwrFwOKEz9mtcS9UpnMDeGtp4ifNX4iGnnGYFY3VAgKW7YX4gXIgSIZfH9hDRXoabKJy9aAursXbtA722sFEjK0aMcCQ4OIOEhDzq1rVi9mxnMjIUdu0yzfLm0uxhAE728Kw/vPWQsLx9WoG3+8NXsJcqSynvlqurWI1aWJfViRm3b4u6DCIahIeH9jqtW4mVklFR4r0rD8tbwmgvCDij6jhFxs3eDiJ/1x0RucnPCYKaw6G7cFFHv5vZCPYkqn2pB8xuDM+dK3/I96qmIxuiNHuheIYavLyEfiUmOeZz+7ZS+AwriqNDkX60HrRpKexOd5NgzhuwPVj0qbVqwNTx6hh+hyh/7QbsPgDf/QcmzxKrkb/6GH7epl1hWy55qljbY+w4FaBeHajhKlYVW1qI7wPcCBd7QBtDab6BpUtFmPW//hI2sAEDYPBgsYq8MniYPGKcAb/9Jtqfxo3h00/F/up79xp/7+WPw+gmELBbtc8VtfdUhxE+EBwtxu11q8HsdpCRB7tUNaxlDTgwBPZGw2fntdfIUyCxlEgbRTF2jJqaBivWwvx3hL4TGQ1vTxNlftle4Z+pkKCgexw7Vo9333Vl8+Y0One2Y9IkZyZN0hqOhw+vRkJCHlFRObRubcsXX9Rm69YH7NtnIh3QW/u5UUNo01r8/4XjsLoljMNUEcc9D1evQ0IidO0MX3wCQcvhugkWQy9a1Jrdu28TFfUAJydrRo+uT69ebjz55CG8vR0ZPboBu3bFcfduFn5+LgQFtePQoTtcvGiaWV8P8w3cTYY5U2D7AdW+4gpTX4A67vDLblH++Dm4lwJrP4WPvhIr018eIa6zM8Q42ZYv92f0aG8CAv4kNTUXd/VFSUnJJjNTOyBr3NiJxx9356mn9ht3w/8BevfuzdSpU8nJySlcoQ7Qs2dPpk2bRnZ2Nr1798bJyYmZM2fy5ptvkp+fT/fu3UlJSeHo0aNUr16dsWPHMnnyZP773//y9ttvM3HiRM6cOcOaNWsqJJdJHeoF1KlTh1deeYW//vqLo0ePkq9O2ygIAZ+Xl8ehQ4e4du0aQ4YMqQwRKoyzMyxeDHXrioHyb7/BnDnaGfWenvDZZ2JgHBcH69YJY6qp6OgNIfO1n4PGib9rQmD8chj5OSweDT++ATWqiT0q5/wEK3T2gn1zjZgZ89tMEcJs7wV49XvTydivnw0NGliyapX+7KDcXHjqqWSWLKnGjh0uVKtmwY0buYwde5/duytndZCzs4bFi62oW1ejPq885szJKXxen36ai6MjrFxpg4sLHDmSz4AB2WRV0gQeUX8sdepPPnPm5JObKzryZs00jB1rQa1awkBw6pRCjx55xUIFmYLXXnvAggUOfP21A25uFsTG5vPtt1l89JF4bnXqWBAQILSwCxf0wx/26nWfQ4eMM/C82ln8PfSS/vlxW2DteXE8uRPM663NOzyheJmP+sC4dtoy519VZVwFhyLKLk/HVhCisw930Bzxd80WGD+rbNd4/i346kP4c61QQH/bC69X8P3v2AhC3tOR53lVnsNihfnIr2Hxs/DjZPVdT4Q5v8KKAxW7X6nydISQEB15glR51oj9fz/9FPVdQn2XhNJQ8C5lZcHIkTBvnphVHR4urvHZZ+WX5dX24u+h0frnx+2EtZegvTv4q4asm6/ol2n4DUSqTqLvB0IvnZBb58cXL1MWOvpCyJfaz0Gvib9rdsOU/4JfYxGWzqUaxCZC8CmY+4PYpxjgbgoMeBsWvgwHPheTMS6HQ8B7Yi+58vKqi/h7qJ7++XG3Ye19yAWeioEltWCHF1SzgBs5MPY27NZRLN9OgFwF1nuAvQZOZIoV78nltKa82lyV56ki8vwFa2+ISRA93GF6S3C1gfgM+Cseuv0hHOy6TGgKWyKFclZRXlUNVof6FJHnBKyNKN+1JnjDlhjhjK8obhYa1jjb4mmhIUWB0Jx8BiZnsj9b/NAzUrPJx4ZfXOyw1UBwVh5TU7U/wDN2VrhZaHjB3ooX7LXDtoi8fBonln+Wbse2ELJD+zlIXWm6ZiPM+wQC1Od44bD+93oNhkNHy327h/KqGlLtUHv98+OuwFp1FdoXt8DOEoKaQA1r4Vjvfx7C1H89PQ+GuQmnu6OFCBO/5y58HCG2MSgvxraFIBzoubmwfj3Y24vtL/r0Kf/kIoCOrSHkJx151Ggka36Fye9Ds8YwdphQ9u4mw6lQ6DECrqiTKLOyYeQgmPeGmFUdHg1Bq+GzHyogizeEzNWR5UVVlkMw/lsYuQwWj4Qfp+r0W5thharnZWZDj2YwfSC4OopJYX9dg27zhIPdWE6fTicw8CaLF9fhgw88CQ/PZvr0W2zcqLVYDxnizJo1DQs/b9okrDHz5sUxf76JlnCovPZaJgsW2PL113a4uWmIjVX49tscPvpIW1m2bs1l8uRM3n3Xhi+/tOOff/J55pkMjh41fuJnlXrX1dWlh57RPz9uH6y9Cu1rg7/qQLlZJMR0w9UQqToCBjaAOZ3EapcLicJBv8eEK4Gqio5z+nQGgYERLF7swQcfuKt1OZaNG5MBsfq5WTNbxo5tQK1alty9m8epU+n06HGzWKj4itKxDYTorHoK+lj8XfMzzPsUAtQQsBdC9L/XKwAOHdN+nvA8HD0J/5gwGmFpOs6jprR3PS8P/PwsGTvWGhcXkR8cnMvcuVlkm6D6dOwIIQe1n4PUsfeaNTD+JZ1+61udfmugtt+6e1d8XvgxHPhTOG0uX4aAoWIP1nLL0x5CdAz4QZ+q8qyH8a/AkKdhzUpt/qb14u+8hTB/oQi72q83TJ8q5I6+Bb9thY8/Kb8srz4m/h6aqn9+3E+wVg0j/+Y2Va8bJ9qWvf/Aq7/pl//+Oeil41g9r+7j23ABRJbTKWoKHfCLvSJEc9BoUeZCFPT/FMJMFAa6Xz87GjSwYtUq/Vm2mZkKPXrYMn16dVxdLYiPz+OvvzLp1i2OhATTTFYpzR4GMPIx4Vj66SF91YS+cPQa/FPOCWB6snSAEB2HfNB/VFnWwfgJMGQwrNEZT21SHY/zPoL5qo1g8iSY94G2zOEQ8XfcBFhbzn16X1UdAIf89c+PuwBrYyA7H/rVhOkNwdESojPht9vwcRF9c2BtmOMjIjlduC8c9HsqEOmlqunIhijNXjhkiCVr1mhXkm7aJI7nzcth/nzj7GEd20CITlsSpNbrNZtg8mxo5gNjnxXO9Lv34NQF6BGoH4b6+Wnw1UL4c7Nq490Fr79fQXmqWNtjinHqR+/COB2b0fm/ipepKKX5BrZuFfulv/sufPmlcHQ/8wwcNfEYuizyWFmBn5/YpsXFRUyaCw6GuXMxyTjjVXWiwqGh+ufH/SlWm2fmQg9PmO4HrraqvScWum0RDnaA4Y3BzQFe9BWpgIj70Kicky5NMUZ9e56qry9X9fUz0GcYJJvAZ3v6dBaBgXEsXlyTDz6oQXh4LtOnJ7Bxo7ZP9fS05LPPauHubkVcXC7r1t1nwYKkh1y17HRsByE6K8mDFou/a36E8VNgyEBYs0Kbv2mN+DtvMcxXy/o2gcXzxISViChYuFQ41E2Bm5sd69Z1wdPTjpSUHEJDk3nyyUPs3x9P3br29OvnzvTpTXF0tCI6Op3ffovm449N5zR5mG9g8lzVvhKo0zZfFHulX1F1mbv3YMAEWDgDDqxTx83/QsAUCL1mnGyvvtoMgEOHBuqdHzfuCGvXapWpl15qwq1bDwgOjuH/Or179yYjI4NmzZrhrrOHVc+ePUlNTcXX1xdPTzE7ZMGCBdSuXZvFixcTFhaGi4sL7du35733ROdXv359fvvtN958802WLVtG586dWbRoES+99JLBez8MjVLJm5rHx8ezbds24uLi9ELBF9zW0tISLy8voqOj9VayazQaPvjgA4PXLC9xcXGsXLmSSZMm4VUwBcdM6P7ammfNJ0cBis5qKY3GyCmYJkBRtC+HRmO+cB4FKIp94bFGY/69TEJDr7FlyxaGDRuGn58JNz+tIIqi3adRY5rX1SiUj7THmibmk6MARScqhGaM+eQACH37ok7daV36FyoZvbawAgYyU6PoTKrQPG4+OQpQ/tIea0y4XUdFCc3SqT+nqkD90RnvaDaZT44ClBHaY8t484fpyisI6wBoHt12ugYJPaRTdxKqQN3RmWihMyw1G3ptoXfJ5R4Vis72BprRJZd7VCg6q2I0mrPmE0QlNNRapy9tUPoXKhlFqV54bO53HUDRsQNpviy53KNAeV17XBV0nNDQOzp1p/JD+peGovgVHmtqm1EQFUXHmaPRmMagaAx6Oo7GDJtpF0HvXa8CAf5CL+j07V2qQN+us6BLM8N8cgAoOpOJza3/ASg6TluNJsJschQQGpqqrTsfVYG6o2sPM8H2M8ai6JicNJUUWrc8KDoTpquCjhy6XNemYcLNoSuInr3Qy4yCqCg6E0jM3f7otT1VbYxaBXTA0NAqbJ/72nxyFKC8qj2ueuNUE4X/NYLQ0Ext/XmsCtQfnaGyxswGOkXHOFfl/AKaNWaTo4DY2CcLfaQFjmhJ+al0dczd3Z2XX36Zvn37YmlpWehIL3Ce5+XlceuWCF9Xyb59iUQikUgkEolEIpFIJBKJRCKRSCQSiUQikUjKzCOZ36zRaOjevTuvvPIK9erV03OqF4SBl0gkEolEIpFIJBKJRCKRSCQSiUQikUgkEomkKvFIA4bVqlWLl156iQEDBmBtbV3Msa6pCnFXJBKJRCKRSCQSiUQikUgkEolEIpFIJBKJRCLhETvUC+jSpQtTpkzB29sbRVGKJYlEIpFIJBKJRCKRSCQSiUQikUgkEolEIpFIzI2VuW7s4uLCiy++yJUrV7h//765xJBIJBKJRCKRSCQSiUQikUgkEolEIpFIJBKJxCBmc6gX0KJFC3OLIJFIJBKJRCKRSCQSiUQikUgkEolEIpFIJBJJMcwS8l0ikUgkEolEIpFIJBKJRCKRSCQSiUQikUgkkqqOdKhLJBKJRCKRSCQSiUQikUgkEolEIpFIJBKJRGIA6VCXSCQSiUQikUgkEolEIpFIJBKJRCKRSCQSicQAZt9D/WHk5OSQnp5e7Lyzs7MZpJFIJBKJRCKRSCQSiUQikUgkEolEIpFIJBLJ/0+YzKGenZ3NpUuXuH79OgkJCaSlpaEoCtWrV6dOnTq0bNmSpk2bluuaV69eZevWrcXOf/DBByaSWiKRSCQSiUQikUgkEolEIpFIJBKJRCKRSCQSw5jEoX758mX27t1LWloaAIqiFObdvXuXpKQkLl68iJubG4MHD6ZOnTplvrbutQA0Go0pRJZIJBKJRCKRSCQSiUQikUgkEolEIpFIJBKJ5KEY7VA/fvw4+/bt03N8F3V6F+TFx8ezatUq+vfvj7+/f5nvUXC9os71imCCS5gM5RdzS6CPoribWwQ9FMXe3CIAEB0dTXJyMqGh5pYEoqKiCo8VpYYZJSmO8pG5JdBH+dfcEuijrDPv/S9e1B5XpXYQQJllbgn0Uf4ytwT6KOUL7lIp6NWfl8wnhyGUEeaWQJ88d0dzi6CHkmTe++vVnT7mk8MQVa4tDDO3BPooG80tgT6K0t7cInBRp0IrSnUzSlIcc7/rRVFeN7cEWqqCjnPx4p3CY0XxM6MkxVESzC2BPlVOx6ki73qhTnrB3JIU0UmL79BnVpTPzC2BFnPrf0VRlIbmFkG/H61q9rAcc0ugj/KUuSXQpyroyPo2japhLyxAiTW3BPpUpfanyo1Rq4AOWKXtc6+aWwJ9qt44tYm5RdDvS++bURADKFXIQFfl/ALKOHOLQFxcnLlF+D+BUQ71f/75h+DgYODhK8d18/Lz8wkODiYpKYmnnqpiI0SJpAjR0dGsWrXK3GIUw8XFxdwiSCQSiUQikUgkEomkkpE6qUQikUgkEolEIpGYnwo71LOzs9m5cydQ9hXkGo0GjUaDoiicPn2anJwcAgICKiqCRFLpJCcnA9CxY0fq169vXmFUXFxcqFevnrnFkEgkEolEIpFIJBJJJSN1UolEIpFIJBKJRCIxPxV2qF+4cIHU1NRCB3lRdFelF+QriqLnVL9w4QKWlpYMGjSoomKUG43GvHG7dUP8aapAtD9F5+eoCtvT61YljeaE+QRRCQ11AKB+/fr4+dUxszT6IRA1GvPHddENgaixNqMgKrph2jQW5pOjACVfe6y5bj45AHRbPo3G/PHsFEVbYTQa88fh0Q3bpKkCYamVA9pjzWjzyVFA6LvaY00L88lRgHJFe6ypApFhdcPYVTl5zNy3626XollpPjkKUCZpj9PTzR+n1sHBofBY84kZBVHR3YJDUwWiHOuGsNOMMZ8cBYS+rT2uCvLohvOslR9jPkFUEi20Y2VNfzMKAij7tMdVoV0OPaQ91mh2mE8QFUUZXHis0Zg/Fqu+jmN+HVBRuhQeazT7zSiJIDRUbFtQv359/J5sbWZp9EMbV7n6Y+b3XW8MVgXmPija6PxovM0nRwGh27THGs1V8wmioijNC4+r3LhHc9R8gqgoymOFx1Xh9wnV+UmqXF9RBcYaeu1PN/PJAaAc0x6bWx+ForZm89uf9HTkqmZLrWq+iqrWl1YBe6pe/altPjkK0A3L35pT5hMEuEinwuOq1/aYf9wTG+tibhH+T1Bhl9O5c+cMni9wmBs6V+BIL3CsK4rC2bNn2bdvn8FrSSQSiUQikUgkEolEIpFIJBKJRCKRSCQSiURiLirkUM/KyuL27dsGHeegXYnu6OiIlZVVoRPdUBlFUTh+/DhHj5p/9qVEIpFIJBKJRCKRSCQSiUQikUgkEolEIpFIJAVUKOR7XFycnkNc10lub29P3759adWqFba2tgAkJiZy+vRpTp06pfc93eM///wTR0dH2rZta7J/TiKRSCQSiUQikUgkEolEIpFIJBKJRCKRSCSSilKhFerJycmFx7rOdDs7O8aPH0+HDh0KnekAtWrVYsCAAbz88su4uLjoOeELrqEoCjt27OD6dTNvNCyRSCQSiUQikUgkEolEIpFIJBKJRCKRSCQSCRV0qGdmZup9LnCQ9+rVi9q1a5f4PQ8PD8aPH4+bm5ve6nQQTvX8/Hx+/fVXoqOjKyKWRCKRSCQSiUQikUgkEolEIpFIJBKJRCKRSCQmo0IO9ezsbIPn/fz8Sv2uk5MTY8aMoUaNGgDFnOo5OTls3LiRO3fuVEQ0iUQikUgkEolEIpFIJBKJRCKRSCQSiUQikUhMQoUc6lZWxbded3R0xN7evkzfd3R05MUXX6RatWpAcad6ZmYmGzZsICUlpSLiSSQSiUQikUgkEolEIpFIJBKJRCKRSCQSiURiNBVyqNvY2BQ7p7snellwcXHhhRdewM7OrvD7uk711NRUQkJCKiKeRCKRSCQSiUQikUgkEolEIpFIJBKJRCKRSCRGUyGHuqOjY7FzDx48KHSIlxU3NzdGjx6NtbU1UNypnp+fD1Du60okEolEIpFIJBKJRCKRSCQSiUQikUgkEonk/wYhISFoNBqSk5Mf+b0r5FB3dXUtdk5RFG7fvl3ua9WtW5fnnnsOCwshSlGnujnw8rJi/fp6JCa2ID29FaGhTejQQYSzt7KCJUs8CA1tQlpaK2JimrN2bT08PYuHwa8IPTrA9mUQsx+UUAjoXXLZb94XZd54Qf98+G5xXjfNeskk4lGtGgQFQUQEpKfD0aPQsaN+mWbNYNs2SE6GtDQ4eRLq1TPN/XX58MM6KEoXvXT1qp9eGX//avz5ZzPS0jqSktKRQ4eaY2dXOfXKwgI++siesDBn0tNduXHDmffftyux/DffOKAoNXjjDdtKlMeWsLBqpKc7ceNGNd5/v3h0iWbNLNi2zZ7kZCfS0pw4edKRevWM/416dIftv0NMJCg5EDBEPz9wKOzdBYm3RX6bNvr5rq7w5edw7RKk34fIm/BFEFSvXkF5esD2bRBzC5R8CAgoXmb+fIiNgfQHsC8YfHz089u1g+C9cC8JEhPg22/BwPyiUpntCifrw30fiPeG372gqbV+GXdLWOcBcd6Q5gNn6sOwavplmljDVi9IaAwpjeFwPehVtp03SkW86xZERFiRnm7F0aOWdOwo6oVoBy0IDbUiLc2KmBgr1q61xNPTNPc2RHh4QxSlSbH01Ve1AXj55eocPFiHlBRvFKUJzs4V6t4M0sMPti+EmM2gHICAx4qXaVYftn0MydshbSec/BrquWnzV7wJNzZA+m64swW2LgDfCraLPZrB9pkQsxyUjRBQpA12tIVl4yB6GaSvgcufwit99cusmAA3gkT+nRWwdQb4elVQng6wfTnEhIByBQL6llz2mw9FmTde1J5r4AXfL4CwYEg/Czf2wLxpYG1d8nUeKk9X2L4RYi6DkgQBT2nzrKxgyYcQegTSokWZtV+Dp4f+Nd6bAUf3wINbcC+8YnKYUp4CbGzg3CFxnTatjJNLl9L69tWrQVH00+7dxt93dls4ORTuj4P4F+H3J6Cps36ZFT3gxkhIfwnuvAhbnwDfImWUScXTiMbGy2duZvvDyTFwfzrET4PfA6FpDW2+qx182Q+uTYT0GRA5Bb7oC9V1unq/2rBxMERNEWWuTITXO1RMnh7dYPsmiPkHlPsQ8LQ2z8oKlsyH0OOQFifKrP22eF12dYUN30PKLbgXBd9/VbF+FKCHL2x/E2K+AGUdBLTXz3e0hWUvQvTnkP49XF4MrzxkXL3rLcPX+V+UZzyOHNK4Ea7xJFzjyW5NbfqiHW+OwYFtmlqEazxJtKhDdYqP+xpjxXpNDf7ReBCu8eQPTS26U3wcWVZ6tIbtH0HMz6Dsg4Buxcs0qw/bPoLkrZC2HU5+BfVEN08Dd/E9Q2n44xWQx8i2uUE9+P5LCDsH6TFw4wzMm13xvqsokyc34MKFnqSkDCAlZQDHjj3GgAHagYW3twNbtnTkzp0nSEkZwKZNHXBzq/jzeRhVTccpTQc8eLB5sfxvvmlYKbIYYtasBihKP4KCmuqd9/d35s8/25OW1puUlF4cOtQBOzvjx6s9usD2tRBzFpRYCBign//hW3D1L0i7AUlXYN8m6NxOv4yrC2z4ClL+gXtX4fv/gqOD0aIBpdcfoVfYExpanbQ0V2JiXFi71hFPT9Po7FXtXe/RGbavgphToERBwBP6+R++CVcPQNo1SLoI+zZC57b6Zd6bBke3wIN/4N7FislRKE8n2P4dxBwHJQwC+heR5w24ug/SLkHSOdi3Hjrr6O09u4jvGUod9U0zFULY5rxITGxCerovoaGN6NBBv/1p1syGbdvqkpzclLQ0X06ebEi9esbb56rauKcoH35YD0V5TC9dvdpOva8VX37ZiGvX2pOe7k9kZEe++KIR1atbmubm/C/8Pua1F5pCB9z2I0SGQkYsxF6Bdd+UrCeWKk9b2P4pxGwD5RgEFBk7rZ4jzuum3Z8Vv85T3eDv7yD9ICTtgd+XVFCeHrB9O8TECN2yRPtcrNBP9+0rbp8rwMYGzp0T1ylqV6woXl6WrF/vTmKiN+npjQkNrU+HDtpxjZubJatXuxMT04gHDxqze7cXPj6mGQQaa0sFeHkiHNwPKXdFGWfn4mXKLI+RfoqeHYv7KApSx5YVkMcE/WgBNjZwbre4TpsW5ZelJB5mTwX48EMLrl4V9tSkJCv27bOkc2cTtj0bIOYiKAkQMFCbZ2UFS+ZC6CFIixBl1n4Fnu7Fr/NUf/h7D6RHQdK/8Pva8svyHLX5jZYcpz3Hac8GmtMdw5XxG5pwkU70waXwXFPs+QRv9tGGU3RgG614HgPClgNTtT1PPQV//y3KJCXB778bJVYhpY17FKW5wTRzZo2HXPV/D41G89A0b948s8pXIQ2uRo0aBp3d169fr5AQjRs3JjAwsPCzrlP9UePiYsnRoz7k5CgMHBhOixb/8NZbcdy7lweAg4MF7dvbs2DBHdq3/5dhwyLx9bVl+/aGJrm/oz1c+AemLnp4uaF9wN8PYuIN58/9Cjx6a9Oyn0wiHt9/D/37w4svQuvWEBwM+/eDl+qI8faGI0fg2jXo1Qv8/GDBAsjMNM39i3LpUjoeHmcLU/fuVwrz/P2rsWePL8HBKXTufJlOnS7x1VfxqIEPTM6sWXZMmWLLtGnpNG+ewqxZ6bzzjj2vvVbcmDR0qDX+/lbExFSSMMCsWTZMmWLNtGmZNG+exqxZmbzzji2vvaY1tnl7azhyxIFr1/Lp1esBfn5pLFiQZfd3ceIAAPytSURBVJLn5egIF0Jh6usl5x85CrPeM5zv5QVenjBzFrRqC+MmwIAn4IeVRsozzXD+O+/A66/B5CnQxR8ePIC9e8BWfXyenrB/H9y4KfIHDISWLWDN6vLL0tMBlieDfxT0vwXWQHBdcNBpVtd5gK8NDImF1pGwJQ02e0Jbner0Rx2wAvpEQ4couJAlzrmbQE/+/ntL+ve34MUX82jdOpfgYIX9+y3x8gIHB2jfXsOCBXm0b5/LsGF5+PrC9u2mU9CL0qlTNB4eYYWpX79bAPzySxog2uY9e9JZtOieye/taAcXbsLULw3ne3vBkS/gWhT0mgF+L8OCDZCZrS1z5jqM/xSaj4MnZ4FGA8GfCiNjueWxhQuRMLWEuvfZizDAD174GprPhM/3wFfjYLCOU+ZMOIz/VuQ/uUSVZzZYVGAM7+ig9lsLHl5uaF/wb1O832rmLX6HV+ZByyHw5icw+TlYNL38soD6rl+Cqe8Uz3Owh/ZtYMF/oH1vGDYWfJvA9h/1y9nYwC/b4JsKvN+VIU8Bn86H2PLPXSyV0vp2EA50Dw9tGjXK+Pv29ITlV8B/G/TfCdYWEPwUOOjYQM8kwPgQaL4Zntyl1tWni9fVcSHgsV6btkYYL5+56VkPlp8F/w3QfxNYW0Lwc+Cg2mq8qok08yC0WgXjdsIAb/hBx2DXwQPupMMLf0DLH2DhMVjcE6ZWwElbWJffKp7n4KDW5U+hfQ8Y9oJal3/WL/fj99CyGfQfCoOeg8cfg5UltK2lymMLF6Jg6jrD+Z+NVtvCFdB8Nny+F74aA4PbFS87/UkwVvOoSvLEkscCJYW+yh36KQkcJov1mpr4Il4uezT8qWQSpKSWeI2NmppYoSFQSaSvcofL5PCjpiZuFVMfRV8aBlOXGc739oQjQWpf+hb4vQILfoTMHJEfnQAez+mnD9ZCajrsPlkBeYxsm5s1VfuuGdCyG7w5ByaPg0Vzyy+LIW7dymT27Kt06HCYjh0Pc+DAXbZt60SLFtVwcLAkONgfRYE+fY7z2GNHsbGxYMeOzlTGfPSqpuPAw3VAgJUr7+jlv/NOdKXKU0DHjtV55ZW6XLig/275+zuzZ087goPv0rnzSTp1OslXX0WTn2+8zcPRAS5chqkl6FTXw2DaHGjdB7oPhYhoCP4JaunY3X78Clr6Qv+RMGgsPN4FVi41WjSg9Prj4KChfXsrFizIpH37FIYNS8XX15Lt251Mcv+q9q47OsCFKzD1fcP518Ng2gfQ+gno/oz6vDboPy8bG/hlJ3yzvmIyFJPnKkz9sAR5wmHaPGg9ELo/BxG3IHidVp5jZ8Gjs3767mcIi4LTocbJ5uJiwdGjDVTbXDQtWoTx1lt3Cm1zAN7e1hw50oBr17Lp1SsSP78wFixIJDPTBO9WFRv3GOLSpQd4eJwsTN27ixkWXl42eHnZMHNmOK1anWfcuH8ZMMCVH34owSNZAf43fh/z2QtNoQMePALPvQS+neGZcdC4Efy6poLy2MGFGzD1vyWX2X0cPAZp06gi7cKwXrD+A1i9E9qMgccmw8bgCsrjCBcuwNSphvPfeQdefx0mT4YuXVT73F6tfU6XTz8Vzi9TIdqeeuTkwMCBMbRoEclbbyVy7562cmzd6om3tzUBAbG0axdFZGQu+/fXwcHB+IGYsbZUEO/gnr2wqIITHvTuZ6Sf4th5ff+ER2/47jcIuwWnL1dAHhP0owV8+h7EluBXMYaH2VMBrl9XmDZN5HXvnktEBAQHW1KrlvH3LhwXziqe52AP7f1gwWfQvi8MGwe+PsIBr8uwQbB+Oaz+Cdr0gseeho1byi9LPNl8zi1GcJmRXOYE9/kSHxqjPzHuRdwN6r4tcCSJXN4ljEAu8R1xvEEdRuFmoHTZMEXbM2wYrF8vFp60aQOPPQYbN1ZYpELKMu7x8Liul8aPjyU/X+G330rW6/8XiYuLK0yff/451atX1zs3c+ZMs8pXoWmbNjY21KxZk7t37wJaB/ilS5fo2bNnhQRp2bIlGRkZ7Ny5s9BZbw6n+qxZtYmOzuGll24VnouIyCk8vn8/nyee0F+uNm1aDKdONaFePWuio3Mwhj1HRHoYXm6w7F14cjLs/MpwmdR0iL9rlCjFsLODZ54Rs3cOHxbn5s+HwYNhyhSYOxcWLoRdu2CWTsMdFmZaOXTJzVWIjzf8mwcFNeDLL+P55JO4wnPXr1eSZx/o1s2Kbdty2LVLyBMZmc+oUTl07mwFZBWW8/LSsGyZI08+mcrOndVKuJop5LFk27Zcdu3KVeXJZdSoXDp31hpCFy60Y9euXGbN0soXFpZrkvvv2StSSWxQlYUGDQznX74Mw0doP4eFwZwPYMNasLSEvDzD3ytRnj0ilcT0N+DjhWKmGsCYsRB/G4YOhU2bYNAgyMkRnW5B0zR5ClwMhcaN4ebNsssyMEb/87h4scq8gx0czhDnutnDlHg4pVbZhUnwpit0sIXzWVDTAprawIR4uKg6bmcnwFQXaGUL8elll6co4l3XEBCQx+HD4p+dPz+fwYMtmDLFgrlz83niCd0HoDBtWj6nTllRr14e0ZVgs0xM1H/gs2c7cuNGNocOiR/siy+SAejZ00RL9HXYc1Kkklj4Euw6CbN0JnuEFVHovtupPY6Mh/dXQej30NCjeNlS5bkgUkl0awJrD8Ohq+q9D4gV6p0bw46z2nOF8iTC+5sh9BNoWBvC7pRTnsMiPQwvN1g2B56cBDu/0c/be0SkAsJvwX8awZQR8HYFjLl79otkiPup8MQw/XPT3oFTf0K9OhCtvpvzVMVzrAmcxqaQB2BAP3iiNzwzVswWNhVl6dsBsrIg3sTK5sAiq9zHhUDCGOhQCw6rEwe+u6bNj0yD909B6HBoWA3CdHSG5CyIzzCtfOZm4C/6n8fthITXoYM7HL4FlxNh+FZtflgyzPkLNgwCSw3kKbC6yMq18BToWgeGNRXO+vKwZ59Ihrh/H54Yqn9u2kw4FQL16kL0LeGUGNgfOvaEM+dEmdfehl2/wsw5EFfOySJ7QkUqiW5N/h975x0WxdU18N8uS5dmoanYUOwFjd1YiZqoRGNJNFFRY/RVE9Ms0USNMZr4JljTY49Gk1hjw56o0cQG9oYiAiKIAkqH+f6Yhd2FBWELu3m/+3ueeZiduTtzmL1zyzn3nAOrj8IRdR36/rDsEd66Nuw4qynXzA/e7Q2tZsG9Yoy9/zZ59qI73v1USiFE4Uwr7LhKDt/yBIAOxXicV0RJHYWKt/Iecgl5XDhXSmG0sgL1JVvua41rS8uef+StOOaFqPvSHzTHIjVDePLyIL7Qmrn+HWDTEXhiwPDe2LZ57wF5y+dWFPx3OYwPgfc/Krs8hfn9d90Gd+bMK4wfX4O2bT2oWtWRmjWdaNHiD1JT5d9nxIizPHzYi27dKnPgQKLxAmhhbXMcKHkOCJCWllvieXPg7GzDTz814vXXLzNzZi2dc6Gh9Viy5A6ffRZVcOzaNSMG61rsOSRvxbGhkMfMO7NhzFBo2hAOHoX6/tC7G7TqBafVbdikmbBrHbz3McQZ2fc/rf6kpEg895yuEnDixCf8848b1asriY42zrplbe/6nsPyVhwbtul+fmcujHkFmjaAg8fkY7PVXqMjBpb9/kXkOSJvxcqzvZA882DMEGhaHw4el+fH8VpNjkoFwT1gaTGLy8rC1KmViI7OYdQoTWegrZsDmDevCrt2PWHqVM0EJjLSNO++tY179FFcW3jxYhoDB14t+BwZmcGMGVGsW1fPIF2KPv7NzwfMry80xRxwkda8+c5dWLAItq6T37OcMqrt9pyQt5LIzIb4JP3nbGxg8WR4fxms+F1z/PLtsslRIM/T9HOT4ZNPtPRzw+W5aL5+Lp9eveC55+T57PPP67tS2Zk61UPd9mg6wNu3NQ+8bl1b2rVzpFGjKC5dkpVx48ff5969Wrzyigs//phi1P2N1aUCLFYvTOlsQBSnIvIYaafIztG1T6hUspf7UgMNkKboRwF6dYHnOsFL4+D5bobJoo/S6FM3bNC1d73zTi5jxtjStKmCgweNs4XtOSBv+khJhecG6R6bOA3+2adpe2xsYPE8eH8OrNBa5HPZAB/aIyTrfF5KDEPwpCkVuKmerwbgyAi8GcJFDqO70nwrunOau2TSDGe648EGyqi4VGNs22NjA4sXw/vvw4oVmu9dvmyQODqUZtwTH6/bgQcHu3DoUBq3bpXvvMfceHtrwrG4ubmhUCh0jmlz+vRppk6dyqVLl2jevDkrV64kICAAgJEjR/Lo0SO2bt1aUH7y5MmcO3eOw4cPGyyfwTHGqlWrVsTg/eDBA65fv26wMK1ataJbt25IkmSxcO/9+rly6lQamzb5ER/fkDNn6jJmTMlhE9zcbMjLk3j0yASj0qegUMDaT2HhKrhUggFv2ihI/APObIT3RsovvLGoVPJW2Hs5PR06dpRle+EFuHZNbpzi4+XwF/rCZ5iKunUdiIlpwc2bzVi3rg7Vq8uKwSpVVLRtW4H797M5dqwh9+4FcvhwAzp0MJ9y5/jxHLp3V1G3rvxaNW1qQ8eOKnbv1jRqCgWsXVuBhQvTuXTJvPXl+PHcQvIo6djRht27cwpkeeEFFdeu5bFnjxPx8RU4ccKZ4GDTpC8wB25u8uTMFBNAbWrVUnuga014UlLg5Elo107+bG8PWVkaYzrIdR/k+m8M+dHJk7T+r+PpMMQFPJSgQN53UMBh9T0f5MGVLBjuKnu22wBvuEN8Dpw2ch4ov+sKPe+6RMeO+ttmNzfU7aBx9y4Ntrbw6quurFhh3ETFFCgU8EJbuBYNez6D+N/gxHL9YeHzcXKAkF6yIT3asDFgiRy/Dv0CwVednaVLQ6jnDWHFhIR0soeQzrIhPdrEC7FA3e4tgIUr4NKN0n3HrQIkJT+9nClwc5UNNY8sX50A/fJ4VoHvF8Fr4+SQUqbkaX17Pl26yP36lSvw1VdQ0QwRpdzUtr2kYmx1TioICYDIFIh+ontueUfZGH/yRbnM/yJu6lXRSSW08W72kJIlG9NLKlPSNUxFQV1Wv8vtWsPDhxqlKcD+Q3KZNq30X8MYjl+Hfi202sIG6rbwgqaMox2sHy97lcebuc2xlDxKoD+OOKHgH7KeWh4giTyuS9kMUTjhhAIbYATO3JdyCS/lNcqCQgEvtIFrd2HPfIjfBCeW6A8Ln09gXWjhDz+WoBAxJaXpK9xcIMn0gXJQKmHIEF+cnW3466+H2NsrkSSJzEyNoTEjI4+8PImOHU3fOFvbHAeKnwPmM2xYZRISAjl/vgmfflodR0fjQ6s/jeXLA9i58wEHDuhaI6pUsaVtWzf1vLQV9+514vDhlnToYET8VQOxtYWxr8rtcrjaUbNdK3j4SGNMB9j/p7pt1hNBo6yUpv4Uxs1NoZ5XmDfSgd57W/BdL4ytLYwdqvt7WRJbWxj7svxswotRHPfrAZU8YOWvxt+vXz8XTp1KZ9OmqsTH1+XMmVqMGeNecF7WZ1Tg2rUs9uypTnx8XU6cqElwsHkX9BSHJcY9des6EhPzDDdvtmTdunpF2kId+dxUpKTkmlyXUlos83ysR1/4NJ7W9ni4w7BBcPzvshvTS0uXFhC/E65sgK/eg4pa6RYD60E1T8iT4MwqiN0Ou76ARrVNL0dp9HMAnp7w/fdylDVTzpH79XPm1KkMNm3yJj6+FmfOVGfMGM3DsLeXdWLakTAkCTIzJTp2NL2Dh7VTWjtFPv26QCU3WLntqUWNprh+1LMyfP8ZvPY2pJl4UX5Z9am2tjB2rJJHjyTCw8vfsbRw2xzYFKr5ysfOHITYC7DrZzmaiDEogV5UxBEl4ciRRh1Q8hl1mEcUDyhdw1YBFcmlLFtWStP2BAZCtWrq53NGjo6xaxc0MiB9QWGeNu4pjKenDS+8UIEff3xk/M3/xcyYMYMvvviCU6dOoVKpGDVqlNnvafDMskahpVD5BvCjR5+ybOkpdOrUibZt2xYY1fO38qJ2bTvGj6/E9etZ9OwZyddfP2DJEl+GD/fQW97eXsFnn3mzYcMjUlPNP+GbOkoePC0pJhwswJL18PIU6Doavv0VPhgDn79t/L0fP4bjx2VvNR8fWbkzbJjcqPj4yIMZFxeYNk02qD/3nJxDYvNmeNYEq+IKc/LkY0aOjKRXryuMH3+bWrXs+fPPhlSooKR2bTl8yOzZVfn++/v06nWFM2eecOBAA/z9zZPPb8GCDH7+OYsrV9zIyvLg7FlXFi3KYP16jeJx6lQH+fdbUnbPnrLLk8XPP2dz5YozWVkunD3rzKJFWaxfL3c8np4KXFwUTJtmz549OTz3XBpbtmSzebMjzz5rvtDdhlKpEnz4AXz3w9PLlpX8RU6FvS/j48FbnZ7l4EG53HvvyQMed3dYMF8+Z0zucAWwqAocTYeLWjrqwXFgq4Akf8isC996Qv9YuKmle+pxF1rYQ6o/ZNSFdzygVwwYq3uS3/U8PvxQqfWuK2jXTqE3n6G9PXz2mQ0bNkiklkOUmRdfrIC7u5JVqyxvAfV0BxcnmPaK7Hn33BTYchQ2z4FnC+UNHN8PUnfCk13QuzUETZFX65qaSavgUoycYz1rDeyZChNWwZ9XdMuN7wGpK+DJSujdHII+hWwzKFimjoGcXFiy7ullAer4waRh8O0m08tSGHt7+GwWbPiNcqm7hsqzajl8sxJOnzP9PZ/Wt4Pcpw8fDt27yxFoOneWQ8AbkrKgOBTAonZw9B5cLKSkHt8QUkPgySjoXV0OD5+t1c59+A8M3i8f/+0WfNUBJplgQmNNKIBF3eGo2jNdH5Uc4cP28N254q/TrioMqV9yGVNgbw+fzYENv2rqsrcX3C8ke26ubJTI72tNyaS1cClWzmmetQL2vCcbqv/UOGwROlQ2dG8vo7f+v0GeBqi4rfAhVuHLfxXujJAecK0MyocBUiJNsOW2wocYhS/jFRUYIj0g2ejg+EUp6EuHqPvS6bDlGGyeVbQvzWd0L7gUBX+Vg5GpNH1FnVowaSx8a0B+weJo3NiF1NTeZGa+wDffNKV//1NcvvyYEyce8uRJLp991gBHRxucnGz4738bolIp8fEpPre5oVjbHKekOSDA+vWJvPrqTbp2vcz8+bG89lpl1q2rY1aZhgzxIjDQlenTi64crF1bVq7Pnl2L77+PoVevc5w5k8qBAy3x9y8fxfsLPSD1OmTcgrdfl0O7P1Db/b2rwP1CCypzcyHpEXgbHlGzgNLUH23keYUTGzZklfvYzFLvemFe6A6plyHjOrw9BoKGwYNyMOAXK083SD0PGZfh7VEQNLx4eUYPhr1/QowJvItr17Zl/HgPtW7uDl9//ZAlS7wYPlxejOLpaYOLiw3TplViz54nPPfcHbZsSWXz5mo8+6yT8QKUAUuMe06eTFWHcr/I+PE31W1hEypUKKrLqVRJxYcfVuO778yQO6oUWOb5WJe+sCRKansWzJLzrCdFgl81CB5mHhn2nIThc6H7JJj6NXRuIedQz5/v1a4q/509Gj5ZBX3eh4epcHgZeJgmQ0cBJerntBwUV62Cb76B06dNe3+57XHj+vVsevaM5euvk1mypArDh8v/6JUrWURFZTN/fiXc3ZXY2sKUKR5Ur26Lj4/16VLNTWnsFNqM7g97jxefwtYUPK0fXfUFfLNOdzGhqSitPvWFFxSkpqrIyFDx9ttKgoJyeWAGB5eSsLeHzz6CDZshVbZxU1tt7pv9PnzyJfQZKi+8PLxVXthTVuriyEkCOU0rPqQGk7lBpNo7fQrVOcdjDvGoVNdqRgV64sGvJJRdkFJQmrantnoR0ezZsid7nz7y4rDDh8FDv+mw1Dxt3FOYESPcSE3NY/NmK1BmWpB58+bRuXNnGjZsyLRp0zh+/DgZ5so9rcZgV9S6devqDc0eHR3N+fPnadKkicFC9ezZk/T0dMLDw8vdU12phFOn0pkxQx5onjuXQePGDowbV5E1a3RnDSoVbNpUA4VCwfjxMfouZ1ICG8BbwyBwSMnlQrVyaZ2/DlnZ8O2HMH2xvG8Mr70mh7SIjZU7zDNnYMMGaNlSM9Datg0WLZL3w8OhfXs598Qffxh378Ls2aNx3Tl/Pp2TJx8TFdWcwYMrcfmyvMTs22/vs2qVPEo/d+4O3bu7MWqUJx98YPqY1IMH2zFsmB1Dhz7h4sVcmje3YdEiJ2Jj81izJovAQBveesuBwMDycbscPFjFsGG2DB2azsWLeWp57ImNlVizJlvr98ph0SJZoREenkX79jaMG2fHH39YT+xcFxfYuR0uXYbZH1tGhkuXYMRI+PILmP+pPNlbshTu3cOoPFvLPeUQ7R0LVcm5lcBdCd2jITEXXqwg51DvFA0XsjTfvZ8rH0uXYIwb7PCFZ+7APSMNo6+9lsuKFTbExtqSkyNx5ozEhg0SLVvqtslyO2iDQgHjx5fPcvfRo13ZvfsJcXEWWl6vRcF7dBwWqT0xwm9C+0Ywrh/8oTVA/+kA7DsNPpXgvcGw6SPoMEkOrWZKJvWEtv7Q978QlQDPNoDlIyH2IRzQ8oT86RjsuwA+7vDeC7DpLegw27TyBDaEt16DwJdKV97XE/Z8B7/shR9M4NlSEioVbFohr6geb9n0OyXKM2ksuFSA+aHmu3dJfTvohtW7cAEiIuQ0HF26yIuNTMHyjtC4InTcXvTcT9dh313wcYL3msGmHtBhO2Sqm4BPtDxbzj0AZxW83wyWGpCTzVpZ/hw0rgIdi1FUuNjBzoFw6QHMPqa/TKPKsG0AzDkG+26bTVS5Lq9W12UTLOg0lElB0LYO9P0Soh7AswGwfDjEPoIDF+Xc5d0aQgsT5by2NnlukENX6T6uKOmrcGSZwoN+UmKpjeqfK9xJII8+UiIZSLyqcOInRSWCpPvEY9pFxAV96V+wSJ2fr6Av7aPblwI42MHQbnKOdXNTmr7C1wf2/AK/bIMfTBDmOJ+rVx/TvPkR3NxsGTjQh9Wrm9O583EuX37MoEGn+frrJrz5Zi3y8iQ2bIjl9OlHJsnJXRhrm+OUNAdcsSKB77/XKNkuXEgnLi6bgwcbULu2PZGRpjf4V6tmz+LF9QgKOqsTNSAfpVIeO3/7bQyrVskhHM+dS6V7dw9GjfLlgw/KkDfKQA4dg+ZBcv7Q14fBpm+hzQuQUA6K26fVH23keUUF9bziSTFXNA+WfNcLc+g4NO+l/r1egU1fQZvg8vm99MrzFzTvA5U94PWXYdNSaDOgqDxVvaFnJxg8yTT3VSoVat2c/E6fO5dJ48b2jBvnzpo1yQXv1rZtqSxaJK8QCQ/PpH17R8aNc+ePP0wc1qkYLDXu2bPnUcH++fNpnDyZSlRUK3VbqAmD5uJiw86dDbl0KZ3Zs82Qm+0pWO75WJe+sDie1vYsXAo/roMa1WHWFFjzNfR52fRybNTyyLwQCRE3IPJX2Wv94GlQv27MWw2bD8v7IfPg7lYY1A2+KwdvY20mTZL1hPPnm/7actuTwYwZciOnaXvcWLMmlZwcGDAgjh9/9OLhwzrk5Ejs35/Grl1PsFCwXYtRWjtFPlW9oGd7GPy+eeUqqR+dFKLWryw33/1Lo089dEiiefMcKldW8PrrSjZtsqFNmxwSzGMrLoJKBZt+ULc9Wr9H/rxsXihsVqd3CHkT7obDoH7wXRnHP7fIYCAXccGGICryCbUI4Qp+ONAaVwZROqWNP44swZ9viOUvLOdcVfB85skOpAAhIXD3LgwaBN99V/x3n37tksc9hRk1yp2ffkomM7P8IxtYE02balbg+6i9gu7fv4+fn5/Z7mmwb5GzszONGjXCx8cHX1/fgs3Hx4eLFy8anf88ODiYxo0b4+bmVrC5u7vj5mbe0GhxcTlcuqQ70b58OQM/P93QSfnG9Bo1bAkKiiwX7/ROLcGzItzZC9ln5K1mVfjiXbi1u/jvnTwve9TWrGq8DPkKdGdnqF4d2rSRrx0ZCYmJcg6tS4U8RS5fBjPW4QKSk3O5di0Df38H4uJki9ClS7pG4cuX04v8lqZi4UJHFizIYOPGLC5cyGXduixCQzOYPl32POjUSYWnp4I7d9zJzvYgO9uDmjVt+OILJ27dMn29XrjQgQULMtm4MYcLF/JYty6b0NAspk+X///ERInsbKlIWMbLl/Pw87OeUWCFCrBnp7xSt/9A84S3uqdeqO1VaCW0lxfc01qZtmED+PhC1WpQqbK8Iq1KFbn+G8JST+jjDF2jIUbr/6ptC5M8YFQ8HEyHiCz4OAlOZcg50gG6OcrffTkOjmfA2UyYcF82rI9w1Xu7MiG/67k4O2dTvXoObdrkqt91Tdueb0yvUUNBUFBOuXiR+Pmp6NHDiR9+sLx3OkBisuxlfilK9/jlKPAr5NWT8gRuxMCfETBwNtSvDv07mVYeB1v4dAi8sw5+PwPno2F5GGw8IRvNdeRJhxv3ZM/1gYugvg/0N3HY5YJ+6wBkR8hbzarwxRS4VSjnnk8VOLQKjp+FsbNMK0dh8hUXNapD0ADLe6eXJE+3TtDuGci8B9n34YZ6Bf6pg7LnuikoqW/Xx61bkJAA/v6muf/SDtDHD7r+DjF69Ocp2XAjRc6rPnAf1HeH/jWLv97J+1C9AtiZP8JvubC0B/SpA103QIyeulrBDvYMhtQs6L8ZcvQMSRtUggMvy57p8/4yn6z5StMa1SHoRd26fC9eDq+njY0NVPTQ7WtNgYMtfDoI3lkPv59Tt4X7YeNJeK+3XKZbQ6jjCY++geyV8gbw25twaPq/X55s4Ba5hJPNJ1IKF8nmDUXpQpl2wp7ncOB1KYm/ySKCbKZIyWQgMQTTe/0V25feKdqXAgx8Vk5XsqaY3K2mojR9hY83HNomh2AdO9m098/Olrh5M40zZ5L54IMrhIen8NZbslvEvn0J+PsfxNMzjMqV9zJ8+FmqVnUgMtL0BiRrm+MURnsOqI+TJ2WXm+LOG0vLlq54edlz5kxrsrO7kZ3djS5dPHjzzepkZ3cjPl42Gl+6pNvBXb78BD8/88hUmLR0uHkbTp6BMe/K86nRr8jn7iWAZyXd8jY2UNEd7pkgNdHT6k8++cb0GjWUBAWlluvYzNLvemHS0uFmFJw8C2OmyJGeRpvBgFZmec7BmGlqeQYXLRcyUPYA3F5M3uiyIuvmdBddXL6ciZ+fLQCJiTlqfUZh/Z2mjLmxlnEP5LeF6TqRLypUsGHPnoakpubSv/9lcnLKV+lufc/HcvpCfZSm7XmQBNdvwv7D8PIYeOE5aPuM+WW7FQsJD8G/mvw5Tr2A5tItTZmsbDmNnZ/+tLYGU6J+Tn2uWzc5olpmpqyHvqEOEHPqlOy5bgz6254snXblzJlMWrS4g5vbTXx8btG7dyyVKtkQGfm/lcf4aZTVThESDA+SYfth88pVUj/arT20C4TMG5AdCTfUzn+nfodVX5rm/qXRp6alwc2bcPKkxJgxufLYbHT5KDDyjek1qkHQQI13OkCcuv29pJUzPSsLIqPkKBllJQeJaDK5RBqLucs10ngVL1rjQnXsOU4gZ2nFWWRl5Jf4swLdHH61ceAHAviVBL4jTt9tTEJp2p449e21bV9ZWfJvbqzt62njHm06dnSkfn17fvjhkXE3/R/A1lbzfPIds/PUno9KpbKIjTo72/h22qhkyS+9VEqXMwNQKBRmvX5xHDv2hIAA3RA/9erZExWlqdD5xvS6de3p2vUmSUm5hS9jFtbugP0ndI/t/RrW/l5y7pHmAbI3beFQbsaQliZv7u7QsydMmSIPYv75BwIK5S6tVw+iovRexqQ4OyupU8eBtWsTuX07k5iYLAICdCfq9eo5sHv3I7Pc38lJUcRTOTdXs3pp7dos9u/XtQbv3evC2rWZrFxpem8JJ6eintPa8si/Vy4BAboddr16SqKirGN1k4sL7N0lD5L79Zf/moNbt+ROsXt3OapC/r3btIGvvyla/r5auRQSIucd3meAQnepJ/SvAF2i4XahRQJO6vUMhW0iuWhWQTmpdwo7IuWhWT1sCnTfdQVTpsjtXb4xvW5dBV275pCUVPJ1TEVIiCv37+eyc2f5eq0UR3YO/HMVAqrrHq9XHaJKUAQoFPJmb2Jdj60K7FRF60VuXsn1wlzyrN0O+wsZ7/Z+Lx9fuUVzzNdTNqafvgghM+QcZOYiX3FRtw507Vc+OTCNkefNaTDzU81nX28I+w2GjIaTJg5vp69v10fVqnIajjgTzGWWdpCN4112wO1SKM8VqOtqCdH0mleWc4RnlX/qVZOztAf0rwddNsBtPc6fLnawd7Dsrd/vN43XvjYNK8PBl2H1BZj5p/lkzVea1q0DXV+gSL/w199yGLTA5nDmnHysW2d5XHLylGllsbV5elu44Hf44bDu+Qvz4e2fYMdZTIo1yKNEQWlVxE6oo5AVOp6HZPhq7BIoti+tqr8vHd0Ltv8lG+LNRWn6Cl8f2cB2OhxCJpq37wLZa8HeXvcXePBAnqN27VoJT097tm83fThfa5vjFEZ7DqiP5s3lRSBxcfpDjBvLgQNJNG6sO9hZubIhV66k8dlnt4mMTCcmJoOAAN3FKPXqObN7dzE5PMyMUimH+QT465QcwjOwCZw5Lx/r1lHdNpug7Xla/QGNMb1uXSVdu6aSlFR+c1FrfNcLo1SCffnZ+J6KUqFfnpCBsGaL6RbAHzuWRkCA7o3q1bMjKkpWhMr6jPRi9HfmN2pZ07gHtNtC2bPNxcWGvXsbkpkp0a/f5XL3YLPe52MZfWFhDJmT5o8Zy6M9qFpFznOdb0g/fQUyMiHAD46pIwepbKCmD0SZeOhRon7ua/nzm2/CzJma7/j6QlgYDBki5zs2hmPHMvS0PbZ625WUFLmD8/e3pVUrez780EKhRCxEWe0UIS/Cmh3mcZQqCe1+9M1ZMHOh5pyvF4T9BEMmmGbco01x+tRiZSyHjBP5xvS6taFr/6Jtz+lwWc8d4A/HTmq+U7M6RJkgeIcCBXYoWU4Mm9EdB2+hMZ9zhyNaIeDr4MCP1GcbiSzFvNGhS9P2nD6tfj4BcEwdGVClgpo1jbd9PW3co83o0e6cOpVORIT551r/ZqpUqcKFCxd0jp07d07HCG8IRhnU/xcJDU3k+HF/pk+vwqZNybRu7cTYsZUYO/YuIL8kv/5ag8BAR/r0uY2NjQIvL/kxJiXlkp1t3CDV2RH8tVa01KoKzQIgKRmi78l/tcnOgXsP4Npt+XPbptCmKRz6G1KfQLtmEDoF1u2ERyZY5f3cc7Ii++pV2TNt4UK4cgVWqr1oFi6UQ8P+8QccOgS9ekHfvrLnm6lZuNCPHTseEhWVia+vHXPmVCM3V2LDhgfq83HMmVOV8PA0zp17wogRVahf35GBA6+bXhhgx45sZsxw5M6dPC5ezKVFCxveeceBFSvkxi0pSSqy+CI7W+LevTyuXTO91n/HjhxmzLDnzh1JSx47VqzQNMQLF2axcaMjf/yRy6FDOfTqpaJvXxVduhjv3eLsrOu9WKsWNGsmT6Sio+XJk5+frKAACKgn/713T85P4uICYbvlhQGvjgBXV3kD2TOyrGHWnybPosUwcwZcvy53onM/lsMfb92q+c6ECXKu4cePISgIFn4O06ZDchkVuss9YagLBMdCah54qQ1DyXmQIcGVLLieJedNfy8RHqhDvgc5QZ9Yuexf6fAwD1Z7w8cPZM/0192gli3sfFz8vUvLc88p1O+6hL+/goULbbhyRWLlSkndDtoQGKigT58cbGw0K/iSkmTlhjlQKGSD+urVKeQWGod6edng7W2Dv7/cKTZpYkdqah537uTw8KFx75ezA/hrRfio5QPN6kBSKkTfh4UbYeOHckjaQ2ehV2vo2w66vK0pP6QLhJ2ChGSoVkXOuZ6eCbsMmOw524O/1irwWlWgWQ1IegzRD+DwJVg4FNKzICoROjeA4Z1kr3WAWp4wpC2EnYeEFKhWEab1k8vvOmeAPE56+q366n4rrph+K1HTb/l6wuHVEBUL7y2EKhU1ZeMN0DM7O4N/LS15akCzxvJEIS4efl0Fgc3kUHk2NuCl9n5Meqipu9Wryt4RftXARil/H+DGLXhSxrUcxsoTHQPa84bH6vf75i2IiS2bLMVRUt/u7AyzZsFvv8ntc5068PnnshfA3r3G3Xd5BxjqD8FhkJoNXmqdVnIWZORCLRcYUgfC7kJCOlSrANOaQ3oO7Lojl+3jJ3/vxH35O0FV4YPm8F8z5EMrb5YHwdCGELxZ9j73cpaPJ2dCRo5sTA8bAk4qePV3cLWXN4CENNl420htTN97C778R3ON3DxILGNmF2dn8K+t+VyrJjRroq7L9+DXteq6PFh/Xb5yDXbvg++XwLi35QVAy/4LP/8mf7+sONuDv9bq8VpVoJkfJD1Rt4WXYeHLWm1hfRjeUfYSB4hPlrfC3HkAtw1pe6xInpkKVw5IGdwllwooeEnhRAfsGCTJkwFPlHhiQy31VLAhtjxG4i45PELiH7J4RB7LFB78V0ohA3hN4YQfKvZhWD6yIn2pt7ovTYHoBFj4C2ycoe5Lw6HXM+q+9F3d69TxhWebwPMzDBJDI4+RbbOvDxzeLiuW3vsIqmh52cWbwKv300/rs3v3fe7cScfFRcXQoVXp0qUSPXvKWsuRI6tz+XIqCQlZtGvnweLFjQkNjeTaNdMvOLS2OU5Jc8Date0ZOrQSu3Y94sGDHJo2dSI0tAZHjqRw/rx50lk9fpzLxYu6z/3JkzwePMguOL5wYRRz5tQhPPwx586lMmKED/XrOzFwoPEdubNTobpcHZo1knOgP0iCGW/B9jC5XleuCBNC5NDcv+yQy1+5AbsPwvf/hXFT5Qg1yz6Bn7dpvJSM4Wn1R55XVCAw0IY+fR6r5xWy1SgpSTJ6XmFt77qzE/jX1JKnOjRrqP69HsKMSbB9H8TdV/9ew+UQub/s1Hynuq8cQcCvqixzs4by8Ru34UkZp/HOTuBfo5A8DeTx+4OHMGOC7HFeIM9r6vqzS/c63dpDbT/4YSMmIzQ0iePHazJ9eiU2bUqhdWtHxo71YOxYzYrOhQuT2LixKn/8kcahQ0/o1asCfftWoEsX4z06rG3cU5iFC2uyY0eSVlvoR24ubNiQgIuLDWFhjXByUvLqq1dwdbXB1VVWOiQkZBuVsi4f638+ltUXGtv2tG4Jz7SAoyfk/MV1asHcD+BGJPz1jwHyOGq8zUGt06grj8OSUmDWKPjtsKxfrlMVPp8AN+7CXrW+IjUNvtkKc8bIOpCoe/D+UPncLwakAHuqfm6RbDAv0M/N1dXPRRcy7BXMkW9CjJE2t9DQhxw/Xp3p0z3YtOkxrVs7MHasG2PHahr9gQMrkJCQy5072TRpYs/ixVXYuvUJ+/ZZXpcKsn7O21tznSaNZS/kO3fkfM9lksdIO0U+3dpA7Wrww29lu38ReYzsR6MLDb0eq3+ym1EQY6LFISXpU52cYMYMJdu3S8TFSVSuDBMm2FC1Kvzyi/GNc5G2x69Q27MCAptCn2H6257Ux/DNapgzRdZFRUXD+xPlMr/oSc9XEm9RjaM8Io4snLHheSrxDC6M4xoPyOGBnlRk98giBnkRrD+O/EAAx0lmDfeopJ675gEPS5nGrDDGtj2pqfDNNzBnjlw+KgreV4fM/+UXg0QqoDTjHgAXFyWDBrny7rtmCOfyP0a3bt1YuHAha9asoV27dqxbt44LFy7QokULo64rDOqFOHUqnf79bzN/vjcffeTFrVtZTJ4cy/r1jwCoWtWW4GA5dF14eD2d73bpcpMjR4xTYrRqBIdXaD6Hqr3DVm2DkFLkVMzMhpd7wexx8uqrWzFyTvUvTZTjy81NzlFTrZrc2Pz2G8yYoVldtnWrnC99+nRYskRWzr/0kmbVjimpVs2ODRv8qVRJRUJCDkePptK27UUSE2VhFi++h4ODgtBQPypWVBEenkZQ0GWz5M4DmDTpCXPnOvHVV054eiqJjc3j228z+fhjy+QinzQpg7lz7fnqKwc8PRXExkp8+202H3+s+f+3bs1h3LgMpk+3Y8kSB65ezeOll9I5dsz4qAutWsLhA5rPof+V/65aAyGjoV9fWPWj5vxGtUJ59scwZy4EtoC2beRjN6/qXrumf9lXfrVqBYcPacmjDuWzahWEjJINRM7O8N238urBo0ehV29dr/jWz8Cc2XIY+itX4I1xsG5d2eQA+I+7/PdIIU+skfdgdQrkAM/HwILKck70Ckq4kQ0j7sFudRPzIA963YV5leFgdbAFLmZBcIwcIt5Y5HfdRutdz2PGjDxycqBGDQgOlt1KwsN1V3V16ZLDkSPmWf3eo4cTNWrYsmJF0XDv48a5MXu2Jl7ln3/KD3fkyHusXm3caqJWAXA4VPM59D/y31V7IORz2HoUxoXC9KGwZCJcjYaXZsEx9SK4jCzo1BQmvwQeLhD/UDYYtH8TEh4ZIE9tOKzVH4S+ppbnCIR8Cy8vhfkvw08ToGIF2XAzYxN8s19LnvowuTd4OMsGnD+uQPvZsoG9zPI0kg3iBfJMU8uzRfY2fxpB7aFuDXmLOax7TtHQAHmaw+EdWvLMU8uzHmZ/BsHPy5/DC3nqdukLR9R91cfTYeRQzblzfxQtU57ymJuS+naVCpo2hREj5LYxNlZe/f/hh3JoK2P4TyP575G+usdHHobV12QDeSdvmNwYPOwhPh3+iIP22yBBbdPLzoMJjSC0nbwo4EYyvHMCvr9snGzWwH8C5b9HhuoeH7lT9jYP9IK2vvKxm2/olqn5NUSlwMAA8HSG1xrLWz63k6GWnggsJdGqBRzWUqCHqnMWrvoJZs+HYHVaifDjut/r8jwcOSrvDxsjK0sPbJcXxv22Hd4sJhLCU+WpBYc/0JJnmFqePyHke3j5K5g/CH4ap9UW/grfGKD0+7fJUxklyxUeeGFDCnlcIptB0gOOIA9qRiqcmaLQ5If5XVkFgIl5D/mZNJLIY4j0gA8UrmxRVMEWuEIOr0kPuGig8qJVPTj8heZz6Hj576owCFkIW4/BuMUw/RVYMgGu3oWX5sCxQmn1RvWCu4kQZmSEDmPb5qAusldZ3ToQU0hGRUWMxtPTnjVrWuDjY09ycg4RESn07HmC/fvl1RUBAc7Mn1+fihXtuH07jXnzrhMaamAOoqdgbXOckuaADg5KevRwY/Jkb5ydbYiOzuK335L45BMTrUAzkMWLo3FwUBIaWo+KFW0JD08lKOgMkZHGP8NWzeCwlnI6dI78d9VGGDcN6vvDiEGyUvnBQ/gnHDr11w3lOWwiLJsHBzap2+Zd8OZMTMLT6k/VqkqCg2VvnPBw3RQBXbqkcOSIcW5s1vaut2oKhzdpyTNLLc8vMO4DqF8HRgyU85U/eKT+vQbq/l4fvwsjB2k+n9ujlnkwHCnkKfhUeZrA4Q1a8qh/91W/wriZankGaMkTAZ2GwKVCNsfRg+HYKbhqwmbo1KkM+ve/y/z5Vfjoo8rcupXN5MnxrF+vmbBs3ZrKuHFxTJ9emSVLvLh6NYuXXrrLsWMmeLesbNxTGLktDFC3hdkcPZpC27YRJCbm0LmzK23bugBw82ZLne/VrHmKqCjjdWL/judjOX2hsW1PWhoM6ANzpskGxLh42HMAPvnCsDlYq/pwWCtdWOhbanl2wviF0NQfRjwP7hUgNhHC/oYPv5PDuufz/jI5dPbaj8DRHk5ehG6TDHPeatUKDh/Wkketb1m1So4EWaCf+05LP9fLfFErtTl1KpP+/eOYP78SH31UkVu3cpg8OYH16zX/qI+PDV9+WRkvLxVxcTmsWZPC3LmmCdtorC4VYNxYmP2Rpsyfh+W/I0fD6jLaB4y1U+Qzuj8cOwtXb5ft/kXkMUE/am5K0qfa2ED9+gpGjFBSuTI8eAD//CPRqVNukRS6htCqGRzWig4Q+on8d9XPMPtzCFanGws/rPu9LsFwRN1evz9b1gWtXQ6OjnJkxG4D4FEZnckqomIetamCLankcp00xnGt1DnQg/CgErb0pTJ90axojCGTXhjmQWGKtuf999XPZ636+ZyU01A8emSQSAWUZtwD8PLLrigUsGGDdaRCtWZ69uzJhx9+yJQpU8jIyGDUqFEMHz6c8+fPG3VdhWRssvN/AXFxcXz33XeMHTsWX98Ei8oiSU0L9hVNSyhYTkha7Y/ChGGiDUW7NioURsbpMQEREU5s3ryZAQMG0LRp1ad/wcxIkmbWrlBYvuGUJI0yVlE+acpKRNIa7CusIHeupLW4UFGOgzd9RGSe16rL9S0rDCBJ2jlOzBM1oixIUt2CfUU3CwqiRtIysCiGFl+uvIiYrlV/hjSxtDhIWhMNUxgujEXSmjtbnTwW7tsjIrTqzl9WUHfGavbT0kyfa7isODlpQgArPrOgIGqkqZp9LXurxZC0hjqK4ZaTI5+I97Xq80IrqM9aCrHKeeYNgVcaEpWasbIiyIKCAJJWOh5raJcjjmiPw25bWhwkSbOSSaEop7w9JaA7x7H8HFCS2hTsKxQmSghtBBERXpr609MK2h6t9QlWV38s/L7rjMGMzKVpCqQ7mn1F7eLLlRcR27TbQsv790hSg4J9qxv3KMppZW0JSFKHgn1reD4Rx7Trj+XH8Tp9hRWMNXTan/aWkwNA0lpIYen5KBTWNVte/xQRkaGpy4FW0K9r61KtzVZhbX2pwvwpRZ5GRMQVTf3pZgX1R8vU1gQDQmiYkPM8U7BvfW2P5b0+YmPdC2ykPj4+lhbnX4sVmJwEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAILA+zLYkNDc3l/j4eO7du0dcXBypqalkZGSQmZlJVlYWdnZ22Nvb4+DggIuLCz4+Pnh7e+Pl5YWNjY25xBIIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBoFSY3KAeHR3NuXPnuHTpEpl6kptoR5hX6Im9YG9vT6NGjWjWrBnVq1cvcl4gEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEgvLAZAb1pKQkdu7cya1btwBdw3lhFAoFkiTpLZORkcGZM2c4c+YMNWvWpE+fPlSsaAXJaAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUDw/wqTGNRPnDjBgQMHyM3NLTCS6/M+16ak8/nXuHXrFl9//TXdunWjXbt2phBVIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBIJSYbRB/eDBgxw9elSvIb0kL/XiUCgUBdeQJImcnBz27dvHkydP6NGjh7HiCgQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUBQKpTGfDkiIoI///wTSZIKDOH5odwNMaYDOt/Xvubx48cJDw83RlyBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCEqNwQb19PR0du/eXcSjHDRe5sZsha8nSRJ79uwhPT3d2P9ZIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBIKnYrBB/a+//iIjIwOgiEe59jFDNqCIUR0gMzOTEydOGPzPCgQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUBQWgzOoR4REaGTL13bAG5vb0/dunXx9fXF09MTFxcXnJ2dsbW1xcbGBhsbG3Jzc8nJySE7O5vHjx/z+PFj4uPjiYmJ4caNG2RnZxd4pudfX5Ikzp07R9euXY38twUCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgKBmDDOqJiYkkJycXGNHzjd0KhYJOnTrRqVMnbG1tS7xGvmHd3t6eChUqAODv7w9AVlYWR44c4fjx4zrXBkhNTSUxMZHKlSsbIrpAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBKXCoJDv8fHxOp/zDd6dO3emW7duTzWmPw07OzuCgoLo1KmTjjG9uPsLBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQGBqDPJQT0lJKXJMoVDQrl07owXSpmPHjhw7dkwnj3px9y8tktTUWLFMhhRhaQl0KfSYLY4ktbG0CJw/f75gX5IqWlCSokiSq6VF0EHKtrQEukh5lpZAJjo6mkePHmHp1/3OnTsF+5Jk3KInUyNJdS0tgg7SQUtLoIu03tISgFZTiHTJcnLoQ0qytAS6WJ08Fu7bderOWMvJoQ8nJydLi6CDNNXSEugiGT7cNgvSGktLUKg+W4E82iQqq1paBB2kfZaWQIM1tMs6dUfqazlB9GB9cxzLzwG1kaQelhZBd04aa0FB9GB19ccK3vd8pDtPL1OeSJGWlqBwW9jAcoLowerGPVIHS4uggzU8H936Y2V9hRW1PQDScUtLoMHS89F8CnRzllbOUUg/Z226VCt4PtpYXV9qBfpUnbYwwXJy6OM8z1hahAKspe3JxxrGPXFxcZYW4X8Cgwzq2dlFW/sKFSpgZ2dntEDa2NnZUaFCBVJTU596f4FAILA2oqOjWbFihaXF0MHd3d3SIggEAoFAIBAIBAKBQCAQCARmxxp1cyD0cwKBQPBvxCCDukpV9GtpaWl6w7MbgyRJpKWller+AoFAYG08evQIgFatWuHn52dZYZAH69WrV7e0GAKBQCAQCAQCgUAgEAgEAoHZsTbdHAj9nEAgEPxbMcgy7ezsXORYbm4uFy9epHHjxkYLlc+FCxfIyckpYqTXd//SolDcNlIq45CkmgX7Cl/LyZGPdsg4hdJycuSjHaZbYQXR4yKOaPYVVpAtQDv0jkKRbjlB1EiSY8G+QnHMgpLIaIdFU1jBGDlip/zXz8+Ppj2bWFQWnXfddOueDEY79I7VtYWKeMsJokaSvAr2Fe0tKIiaiG81+wqF5aPEaIfZsrr6YwVRxCWttYgKC2dUiNis2Z9jBY3PLK3GR9+izfJGO+x8Q85aUBKZS7Qo2LeGflQ7xJ81tM0ROuOwu5YTRI0kVSvYVwRZUBA12mHeFYGWkwNAOqPZt766Y/lYmtpp0BTvWFAQNdKXmn2rm1NYWH8AhevPZcsJokY7ZKW19aWWfj7az8Ya2h6dOYXiugUlkbHqftQKotRK/2j2FYr9lhNEjXbKC2sYZ0To9BVWpg8T42YddNqe2hYURE3ENvmvn58fTf+xrG4OQBql2VdUsZwc+WiHDVd8WXy58kLSGpsOYbXlBFGzkREF+9bQd+n0pf0sJ0c+0nbNviI203KCAJKvfcG+QmH5XCXa6XoVVpA+M9bD0hL8b2CQCbVy5co6nxUKBZIk8fvvv3Pr1i2TCBYZGcnOnTv1erwXvr9AIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBKbGIA91Hx8f7O3tycrKAigI9Z6ZmcnatWupVasWDRs2pGrVqlSpUgUbG5unXjMnJ4eEhARiYmK4dOkSt2/f1htC3s7ODh8fH0PEFggEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoGg1BhkUFcqlTRo0IBz584VGLzzjd+SJHHr1i0dT3VHR0ecnZ2xtbVFpVKhVCrJzc0lNzeXrKwsnjx5QkZGhs49tK+n/bdBgwYolVYQm1wgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgE/9MYZFAHaN++PeHh4YAm5Hvh/XzS0tIKcmtpe5wXLqdNfjnt8gqFgvbtrSCZrEAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAj+5zHY1btKlSq0adNGxyguSVKBJ3nhrXAZbQO8vk27TP41W7duTZUqVQwVWSAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCASCUmNU7PQePXpQs2ZNHSM6FDWaQ/GGc230GdvzqVGjBj169DBGXIFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAISo1RBnUbGxteeeUV6tatW8TjPB9tI/nTtnwKG+f9/f155ZVXsLGxMUZcgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAhKjVEGdQA7OzuGDh1K3759cXBwKDGUuz6KKydJEg4ODvTp04dhw4ZhZ2dnrKgCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAg+JejUCjYunVrudzLaIN6PoGBgUycOJEuXbrg4eFR6rDv+WiXd3d3p0uXLkycOJGWLVuaSsRScetWNSSpZpFt2bKKeHgoWbKkIleuVCUtzY+oqGosXlwRV1f9iwUMoVMb2L4aYs6AFAvBvTTnVCpYMAMiDsDjG3KZ1YvBx0v3Gi2aQNjP8PAyJF6Abz8HZycD5ekE27dBzF2Q8iA4uGiZOXMgNgbSnsC+MPD31z1fty5s3QIJ9yH5Efz5B3TpYoAs7WD7eoi5CFISBD+vOadSwYJZEHEUHkfLZVZ/BT7eutfY9hNERUB6LMRegjVfFy1TanlawvalELMfpAgI7lp82a9nymXeelVzrHMr+Zi+rVUjw2TSRqmEjz9WERlpT1qaAzdu2DNzpkqnjKcnrFxpS0yMA0+eOLB7tx3+/qarz9rMmlUdSeqgs12+3EJv2V27GiJJHQgOrmiy+3dqDdtXQMw/IN2B4OcKyfc2XD4Ij69A0nnYtx5aN9ecr1ENfvgcIo9C2jW48SfMfgdsbQ2Uxxrf9e0QEwOSVMK7HgtpabBvX9F3HeD55+HECblMUhJs2WKgPCZ4PnVrw9aVkHABkq/Cn1uhS3vD5NFGfreciYysTFqaJzduVGLmTGedMv3727N3rzuJiVWQJC+aNVMVc7Wy06k5bP8cYraBdByCn9U9v3KGfFx72/1l0es83x5OfA9phyBpD2xZYDIRqVABQkOV3L6tIi1NxbFjNrRqpb9t+fprJZJky1tvmWZIYnXvVgfY/ivE3AQpDYL76p7vHwx7t0NitHy+WVPd8zX85OP6toH9DZDnGdj+LcQcBek6BBfKpjNrElzeA4/DIekU7FsFrZvplqlbE7Z+DQknIfks/LkBurQpuywKpZKuH3/Mm5GRfJCWxqQbN3h25sxiy7/w9dfMkiTavPVWwbEanTszS5L0br6tWpVdKCtiCJXZQn3+pil/05T11KMTrgXnZ1OdPTTkDM04SmOWUYta2Otcoy0V+Im6/ENT/qAx7+CLofGejO1HAbb9CFF/Qfo1iD0FaxYVff8MxdJtc2Fu3fJGkqoV2ZYtc6dGDRu95ySpGgMHOprk/p2awPaPIeZnkPZBsJ7+r74fbPsYHm2Fx9vh72VQvYpumbYN4MDn8vnkrXDkC3AwYJ1zp0DYvghi9oJ0BoK76J5fOVs+rr3tXqZbxsMV1n0CyX/AwyPww0fgbJrHVar6AzBnjjOxsXKZffvc8fc3TwQ1X18Va9dWJzGxIWlpjYmIqEvLlvr/2a+/rookNeWttyqb5N7TusPfkyHlU4ifA1tCoF6hemGvgmUDIHEupM6HX0eCZwXN+YpOsHssxMyCjM/hzoewdAC46DZRBvG0OcU339Thxo1A0tLacv9+a7ZurU9AgIkqih4srT/Qh1x/fElMrEtaWgAREbVo2dKh4LwkNdC7vfee6eZe1ow1PZ9btyojSV5FtmXLXACoXduGzZvduH+/CsnJVdi40Q1PT5Op8fTIUxNJqltkW7ZMbgRef92VQ4eqkpxcG0mqi5ub+WSR5Sm+L82nbVs7DhyozOPHviQn+3LkSBUcHIq/Zmnp1AK2fwkxu0D6B4I7655fOUs+rr3tXqJbZtsXELUD0o9C7G5YMwd8TNNUF2Hq1BpIUg9CQ+sBUKOGA5LUQ+82cKCn0feztnGGPuQ5qS23b8s6sWPH7IrMSefMUREb60BamgP79plOH2bt42ZLtz2dnoHt30PMXyBFQnCQ7vlZb8HlffD4AiSdhX1ri85JAZ7vCic2Q9oludyWb8ouy7Sm8HdfSHkN4l+BLd2hnqtumW/aw42BkDYc7r8CW7tDgJvm/Ah/kEbp36qUsT3q1A62r4OY8yAlQHBvzTmVChZ8CBFH4PFtuczqZfrrxfNBcGIPpN2BpOuwZXXZ5Mhn2jPw91BImQjx42BLP6jnoTnv4QBLusKVkZD2JkSNgcVdwVXPezyiIYS/Bulvytda1q3s8gQRwOf0ZSWvsJJXmEtvmlO14LwbDkygI98ymNUMZQF9aI1fwfmGeLGREXq3OlQqu0CFsPgcsBFsnwkxK0HaDsGF9DTSdv3be1q6pQ8GwbHP4Mkv8HC94bJMq2DD35VtSfG2I97Lji0eKurZ6LaxtW1gs4eK+152JHvbsdFDhXZT09lOgeRrr3drZWtcey3P/+yJjKxAWpoLN25UYObMohW3fn0l27Y58uiRC48fu/D3385Ur258XzGtEvxdC1ICIL4ebKkG9Qrd3ssG1vhCXD14XB9O14IBLvqvZ6eAs7VBagjNTDDnsjQjR47Ua0u+ceOG3vJxcXH07t1b7zlTY9LRr5OTE507d2bSpEmMGjWKHj160LhxYypWrIhKpdIb5l2lUlGxYkUaN25Mjx49GDVqFG+++SadO3fGyclA7bURPPNMLN7e0QVbjx73APjllzR8fW3w9bXhvfeSaNw4lpEjE+nVy5EffzTdiNjZCcIvwoQPip5zcoTAJjB3EQT2hAFjIKAObF+lKePjBft/hhu3oE0f6DUMGgXAqkUGyuMM4REwYaL+81OmwJuTYNx4aNMWnjyBvXvAXuvF/X2H3Ol36w4tW8nX+30HeJVxIOjsDOEXYMKUouecHCGwGcz9LwR2hQEjIKAubP9Jt9yhozB4FAS0hpdGQp1a8OuqsslRII8jhF+FCZ+WXO7FbtC2KcTE6x4/fg68u+pu3/8GkXfh1EXDZNJm6lQV48ermDgxmwYNMpk6NZspU1RMmqRR/G3dak/t2gqCgzNp0SKTqCiJ/fvtMNerd+HCE7y9/y7YOnY8X6TM5Mm+OgtxTIWzE4RfggnF2GquRcLEj6DJc9DxJbgdDWHroLJab1K/jtzZvjEdGvWAtz+GccPgUz31sdTyWNu7Hg4TJug/P2UKvPkmjBsHbdqo3/W9uu/6gAGwdi2sXAnNmkGHDrDewMGXsc8H4PfVoLKBboOgZS/59/99DXhVKXrNsjB1qhPjxzsxcWIKDRokMnXqY6ZMcWLSJM0A2NlZwdGj2Uyd+ti4m+nB2QHCb8CEL4ovs/sv8O6j2V6ZpXt+QBdY+xGs3AnNhkOHcbA+zHQy/vCDDUFBSl57LZcmTXIIC5PYv98GX1/dci++qKBtWyUxMaZ7563y3ToPE94uXt6jf8HUD/Wfj74L3rV0t4/mQmoq7DbgN3N2hPArMGGO/vPXbsPEj6FJH+j4MtyOgbCVmrYQ4Pfv1P36cGj5ony9378DrzIOhzpMnUqr8ePZPXEiyxs0YP/UqbSfMoXWkyYVKVv/xRep1rYtKTExOsejjx/nv97eOtuZ77/nYWQksadOlU0gKyOeLEKJZRBXGcRVTpLKMmrhj6yVuUgaM4iiD5d5nZuAgh/wLxjcB+DIN9ThKKm8xBXe4TZdceMdfIu9Z0kY248CHDoOg/8DAV3hpTegjh/8+rVB4hTB0m1zYZ555j7e3rEFW48eCQD88ks60dG5Oue8vWP56KNkUlPz2L07wyT3d3aA8EiYsFT/+do+cDQUrtyBLu9C0zdg7k+Qka0p07YB7JkPYaeh9SR4ZiIs2wZ5BjTZzg4Qfg0mlLB4a/cx8A7SbK9M1z3/0zxoVAeC/gN93oJnA+G74tfglInS1J8pU5x4800nxo1LpU2bJJ48kdi7111nLGQK3N1tOHbMn+xsid69b9Gw4VXefTeOhw9zi5R98UVX2rZ1IiYmW8+VDKNzHVh+DNouhqBvwdYGwt4AJy0FT2gw9G0Eg1ZD5+Xg6wqbQzTn8yTYdgH6/Qj15sPIn6FHXfhmkGlkLGlOcfr0Y0JCbtCgwVl69ryIQqEgLKwRSjPZ/SytPyiMu7uSY8dqqOtPNA0bRvLuu/d16o+39zWdLSQklrw8id9+SzWbXNaCtT2fZ555gLd3QsHWo8dDAH75JQMnJwgLc0eSoFu3h3To8BA7O9ixw51iAkCaQJ5ovL0jC7YePe6q5ZH7TScnJXv2pPHppw/NI0AReYrvS0E2pu/ZU5mwsExat77PM8/cZ9myx+TlGX9vZ0d1v/V58WV2HwfvXprtlRm65w+dgsHTIWAgvDQV6lSDXz8zXrbCtGrlyhtvVCM8XFNHo6Mz8Pb+Q2f76KObpKbmsHv3A6PvaW3jDH388IOtek6aTZMmmYSF5bF/v33BnHTKFBVvvqli3Lgs2rTJVOs47EzSr1v7uNnSbY+zE4Rfhgmz9J+/dgsmzoYmvaHjYLh9F8LW6D6fAb1g7Rew8ldo9gJ0GATrt5ddls7esPwytN0BQXvBVglhvcBJa93t6QcQ8ic02Aw9w0ChgLCeoFQ/j423wHuD7rbnLhyOg4QyDu0L9BlTi55zcoTApjD3SwjsDgNGQoC/bIDXZkAfWLscVm6AZl2gwwuwfnPZ5Minc3VYfg7aboCgX9XP5yXN8/F1Bt8K8N4f0Hg1jNwLvWrCj4UWkbwdCPM6woJ/oNFq6PEr7L1ddnke8IT1nGE6v/MBO7nAPd6nK9VwB2ACnfDFjc85yPts52/u8DadqYlcea6SwFg26mwHuEY8qdzE+LbR4nNAewi/BRO+1X/ee7juFrIY8vLgt+OaMnYq+OUYfL3bOFk62ylZ/iSXtonZBD3IxlYBYZVscVK/N04KCKtkhwR0e5BNh8Rs7IAdFW3Jb2qOZ0l438vU2b5/kktkjsSpbOM6i6lT7Rg/3paJEzNo0OAxU6dmMGWKPZMmaSY9tWsrOHrUiStX8ujS5QlNmz5m7txMMkzwc3V2huVJ0PY2BEUhPx8/Cp4PwJqqEGAP/e5Ak5uwORU2VYPmehbqfO4JsaabEloFvXr1Ii4uTmerVauWTpmsrCwAvL29sTf1xLwYzOaWUb16dapXr65zLC8vj8zMTLKzs7G1tcXe3h6luWa2BpKYqDvynjbNjRs3sjlyRH5TBg5MKDgXGZnDjBkPWbeuCjY2kFtUx1Fm9hySN32kpMJzL+semzgD/tkN1atCdAz06QHZObIhId8mOW4qnD8IdWrCzdtllGePvBXH5Lfgk3myZyvA8BEQfw9efBE2boRKlaBePRg9Bs6r9RzTpsGE/0DjxhAfX+yli8qyX970kZIKzw3QPTZxCvxzQPNsABZpDT7v3IUFi2DrOtkwkJNTelkA9hyVt5Lw9YSl06HnONhZyMsmOwfitfpqlUr2cl9qxOovbdq3V7JtWy67dsl1OipK4pVX8mjdWgnkUreugnbtlDRqlMGlS3JlGT8+m3v3HHjlFRt+/NEEFboQOTkS8fHFt+7Nmjnz7ru+tGoVzr17rU167z2H5a04NmzT/fzOXBjzCjRtAAePwd4j8pbPrTvw39ow/jV4f54B8vzb3vXJ8MknWu/6cPn9zX/XbWxg8WJ4/31YsULzvcuXyyZHgTxGPp9KFaFeHRj9LpxXyzBtHkwYCY3rQ3xCkcuWmvbt7di2LZNdu+ROOyoqk1deyaJ1a1tAVu6sWyf3GTVqmL6P23NC3koiMxvik/Sfs7GBxZPh/WWw4nfN8cu3TSOfgwO89JKC4OBc/vxTrpxz5uTRt6+S8eOVfPih3Cb5+sLSpTb07JnDzp2mG45Y3bsVJm/FsW6D/LeGn/7zeXlF+8r+/WDTZnlhS1nZ84e8FceGHbqf35kPYwZD0wA4+BdU8oB6tWD0B3D+qlxm2n9hwqvQuB7EJ5Zelurt23N12zau79oFQHJUFI1feYWqrXXbfxdfX3ovXcq6nj0ZunOnzrm87GyeaD0gpUpFQHAwfy8tRrv3L+IwKTqfFxPHy1SmKU7cIINftCb8scASYtlKA6piRzRZ9Madq6TzNbJx5w5ZfEEMX1KL5dwjjbJpm43tRwEW/ag5fycGFnwNW783bBxWGEu3zYUpOqdw4MaNHI4cyQQgPl73fP/+jmzalM6TJ6bRIu/5R96KY14I7Pobpv6gORYZp1smdDws2QKfbdQcu3bXQHmOy1tJZGbpjo21qV8LeneAVsPgtLpfn/Q57FoC74VCXBnaHn2Upv5MnuzEJ588Yft2+TccPjyF+PgqvPiiPRs3ZhongBZTp1YhOjqbUaM0D/v27aLjZ19fFUuX+tKz5y127qxV5Lyh9P5O9/PIDZAwF1pWgz8jwdUBRreBoevgkNpBIORnuDIN2tSAk1HwKB2+0fq97zyEr47D+11MI2NJc4rvv9f0CVFRmcycGUVERAtq1nQgMtI0ykptLK0/KMzUqZWIjs5h1CjNC124/sTH6944ONiFQ4fSuHXrf0wLpwdrez6JiRKgafenTbNT9xXZBAXZUbOmDS1aJJGaKpcZMSKFhw+r0K2bHQcOZJlBHt3/fdo0Z27cyOLIEbkdXLz4EQCdO5sv6oOuPCX3paGhbixZ8pjPPtMYkq9dM3JAocbYfgtg0QbN/p17sGA1bF0oL/rOMdH77+xsw08/NeL11y8zc6amL5DnELp1pH9/TzZtiufJE+Nvbm3jjMLIc1IbgoOz+PNPuR7NmZND3742jB+v4sMPc5g8WcUnn+Swfbt8fvjwLOLjHXjxRRs2bjTuGVn7uNnSbc+eI/JWHBsKGcbfmQdjhkDT+nDwuFqn8SG8vwBWbNKUu6zfcbFEeheaq4/8ExKGQstK8Kd6SPH9Vc35qMcw8zRE9IeaFSAyFTJyISNdU6ayA3TzgdFP0RnrY88BedNHSio8V2hx4sRp8M8+jT7DxgYWz4P358AKLSezy9fKLgtA70KG+JF7IWE8tPSCP2Pg4gMYqKVDiEyGGUdhXW+wUUCuBO728EkH6LsVDkZryp43YPx+Bt1GYiNneY4A6lKZuzwigCr8wAluIl98MxE8TwNqU4nbJJFLHsloxoM2KGhFdfZwpezC6MHic8Az8lYc8Y90Pwe3gUPn4ZaWzmm2uu8aYUAEAW16J+mOm0Y+yiHB256Wtgr+zJLoYKegpg20SMhB3dQw4lEOD73t6Gan4ECWRDag/chUQLCDkqUm6Mfat7dh27Ycdu2SG9SoqBxeeSVHbTeRmTfPgV27cpg6VTPXi4w0zTij9x3dzyNjISEAWjrCn2lqGZ1gfBz8o66y8xLh7YrQ0gHOaU1relWA5yrAS9HwfDEe7P9G7O3t8fbWDS3dpUsXGjdujEqlYt26dTRp0oRDhw6hUCjYsmULL774otnlKldrtlKpxNHREVdXVxwdHa3OmF4YW1t49VVnVqwo3ovFzU1JSkqeWSbDpcHNVR4oP0qWP9vbQ1a2xggAkK5+wTqa1j5JrVrg4wP7tYzcKSlw8iS0ayd/fvAArlyRjW9OTnLH/sYbsnHg9GnTylOYgmeTov+8hzsMGwTH/zZ+MKoPhQLWfgoLV8Glm08v368LVHKDldueWrRUHD+eR/fuSurWlZc2NW2qoGNHJbt3yz1R/qId7VVVkgSZmRIdO5rn3axb15GYmGe4ebMl69bVo3p1zaovR0cl69fXY8KEyBKN7uWBrS2MHSq/V+GXii/n5gJJj8pHJmt/1wMDoVo1WcYzZ+TQ8Lt2QSMTpC8oDYWfz4MkuHIDhg+SV/Ha2MAbr8mG9NMRxt3r+PEsune3o25dOdpD06YqOna0Zfdu0yu1DKVLC4jfCVc2wFfvQUWtkGWB9aCap7zy/8wqiN0Ou76ARrVNc2+VClQqRZEVm+npEh07yu2RQgFr19qwcGEel0p4x8oDS75bhhDYAlo0gx9Xmf9etrYwdojcj4ar55cPHsKVmzD8Ra1362XZkH76QtmuH338OLW6d6di3boAeDVtil/HjtzYrbUUWqGg/9q1HF+4kIRSVJaAfv1wrFSJsytXlk0YK0cJ9MYdR5SEk1bkvCNK+lOJaDK5h9yH2qEkC92JeSYSDihphHmjQJWmH/Vwg2EvwvHTphmHWXPbLM8pnFixQv8qmMBAW1q0sOPHHw1YJWMACgW80EZWWu+ZD/Gb4MQS3XCtVdxlz7H7j+DYIri3CQ5/AR3M2K93aQXx++HKZvhqOlTUCqXZrik8TNEY0wH2n5Tb7zZNjL/30+pPrVo2+PjYsH+/pj6lpEicPJlNu3Ymik2rpl8/V06dSmPTJj/i4xty5kxdxozRDTUt96N+LFyYwKVLpjPm68NNbTdLUjc9LavJniv7tRSzV+9DVBK0q6H/Gj6uMKAJHIk0jUwlzSm0cXJSEhLiRWRkBtHR5n1OYB36g379XDh1Kp1Nm6oSH1+XM2dqMWaMe7HlPT1teOGFCvz44yPzCGRlWPPzkeuPIytWyFYZe3vN/DyfjAyJvDzo2NHAvGNllseVFSuKUaiUM4X70ipVlLRta8/9+7kcO1aFe/d8OHy4Ch06mLZNLokuLSF+L1z5Fb6aqttvFcbDFYb1guMRpjOmAyxfHsDOnQ84cKCY1dRqAgNdaNHChR9/jDXdzYvBGsYZJc9JldSqpcDHR8H+/ZofQ9Zx5NGuXfnqqi0xbi58f2tqe/TJN/Zl9ZxUPQ4MbATVfNT6px0QewJ2rYBG9Yy/n5v6X0wqZtjgpIKQurIhPbqYoftwf0jLgV9vGy/P0yiszwhsCtV81c/mIMRegF0/Q6P6JrqfWpecVMIaRTd7SMmSjekAQTVkb/6qFeDSCIh+HTa+ANUqFH+N0qBAQXtqYo+Ka8gLGK+SQDtq4owdCqA9NbHFhovqReaFaUl1XLDnMAasxngK1jYHLIynO7zQCn7cVz73c1N7XiepDeT2KJAAraaGDAnygI72+tvhfg5KKilhZZrxHenx47l0766ibl35Xk2bKunY0Ybdu+VGVqGAF15Qce1aHnv2OBEfX4ETJ5wJDjaPf3J+Fp0krX/teBoMcQUPJSiQ9x2UcFirynjawPc+8FoMpJk+4K9Vsnr1auzs7Dh27BjffGNArg8jsW6LtoV58UUn3N2VrFqlf0JcqZKSDz9057vvLBMazd4ePpsBG7ZCqlrEg0fBuwq8N15uuN3dYIE67K2P8WmSdMhfIFLYcy4+Hry1wrn3CIIWzSE1RV6x987b0Ks3PHpkWnm0sbeHz2bBht/ksLjaLJgl51lPigS/ahA8zDwyTB0lD3SX/PT0sgCj+8Pe40VDwxvKggU5/PxzLleu2JOV5cDZs/YsWpTD+vVyy3zlikRUVB7z56twd5fry5QpKqpXV+LjY/oYcidPpjJy5HV69brI+PE3qVXLnj//bEKFCrLiMjS0FsePp7J9e8kTQXPyQndIvQwZ1+HtMRA0TDYe6aNODZg0Er4t5e9rDFb9rqvP1VYbY2fPlj3Z+/SBhw/h8GHw8MCs6Hs+AD2GQIvGkHodMm7BO2Pl8N35Ew1DWbAgjZ9/zuDKlUpkZXly9mxFFi1KY/1603s9GcKekzB8LnSfBFO/hs4t5Bzq+WvYaqvTS80eDZ+sgj7vw8NUOLwMPEywkvHxY3lBz4cfKvHxke87bJiCdu0UBW3L1KlKuX1cYoJ4jEZg6XfLEEaPgEuX4a+T5rvHC10h9RxkXIC3R0LQSN22sMdIaNFQU+adEOg1uvgFbMVxdMECLvz8MxOvXGFmVhZvnD3LyUWLOK+VK6Lj1Knk5eRwcsmSEq6kocXo0dzcu5fUQqHh/63UxYFTNOUczZlFdd7kFje1VtS/TGVO0ZTTNKMTrozhBtlqI/pRUmiOM8/jgRLwxJbxyI12FcyjDCtNP7pguiZfpJ8vBI82zb2tuW1+8UVH9ZxCv7Jk9GhnLl3K5q+/ysf47+kOLk4wbYjsXfbcdNhyDDbPgmebymVq+8h/Zw+H73dDr+lw5rqc59S/arGXNpg9x2H4h9B9HExdAp1bwu6lmr7LuxLcLzREzM2FpBT5nLE8rf54e8uCFPYqiY/PKzhnKmrXtmP8+Epcv55Fz56RfP31A5Ys8WX4cM2AaurUKuTkSCxZYnxoypJQKGBRMByNhItqPaS3K2TmQHKhVyv+sXxOm/WvwpMFEDsbUjJgzEaM5mlzCoDx471JTW3Lkyft6N3bnaCgi2QbGRayNFiD/qB2bVvGj/dQ1587fP31Q5Ys8WL4cP2WvhEj3EhNzWPz5v/9cO9g3c/nxRftcXdXsGqV/HKdOJHNkycSn31WAUdH2UHhv/91QaVS4ONjflXeiy9WUNdn6zCoF+5La9eWFdqzZ7vy/fdP6NUrkTNnsjhwoAr+/mYLxlnAnuMwfDZ0/w9MXQqdA2H3Yoqkl1gwER7/AUkHwM8Lgt8znQxDhngRGOjK9OlPNwSNHu3LpUuP+esvIyfDpcAaxhnynDSXDz9Uac1JbWjXTtZ3eXvL89L4eN2+IT5eopAznNmw5LhZG2tre/J5oRuknoeMy/D2KAgarnk+tdXR3Wa/BZ8shz5j5IWXh9fLiw8MRQEsagNH4+HiI91z4+tD6mvwZDj0rgZBeyC7GHXG6LqwPlL2XDcn9vbw2UewYbNGn1Fbvbhx9vvwyZfQZyg8fASHt8qOZcagABZ1gaNqz3R9VHKAD9vCd1oZPmu7yQb1D9rA5MMw8Heo6AD7Bsoh5MtKddxZzVB+4lXG0I7/cogY5LZtEYdRoWQFr7CO13iddnzBYeLR3493oy7hxJKkZ9G6sVjbHLAwI7pBajps/sv891IAi9xUHM3M42KO3O6eyM7jiQSfudrgqJBDnf/XVYVKocBHqd8uMdpJyd7MPGJMoEpcsCCLn3/O5soVZ7KyXDh71plFi7JYv142qHt6KnBxUTBtmj179uTw3HNpbNmSzebNjjz7rM1Trl42FMAibziaBhe1FvMMviuHgk+qD5kN4Fsf6B8NN7X8EFdVhW8ewmnLqz1Mzu+//06FChUKtkGD5BAddevW5fPPPycgIICAgIByl0sY1Etg9GgXdu9OJy6uaA/o4qJg504vLl3KYvbsR+Uum0oFm76VlRzjp2mOX7oGIybDu29A2k24dw5uRcO9+6bLQ1RWli+D+/eh07PQug1s3QY7tmO2QapKBZtWqJ+NnsnKwqXQogsEDZAVcWtMlINIm8AG8NYwGFlMTtzCVPWCnu3hxy2mk2HwYBuGDbNh6NBsAgMzGTEim/feUzF8uNzo5+TAgAFZ1Kun5OFDR9LSHOjaVcmuXbkmyTlWmD17HvHrrw84fz6NsLBHPP/8JdzdVQweXIm+fSvSrZsbkyebyG3FQA4dh+a9oH1/OTzXpq+gih4lra8X7FkLv+yEHzYUPW9K/i3ver7iYN482LxZ9lIPCZFXNg8yUb5MfRT3fACWfwr3E6FTf2j9AmzdAztWgbeRRtHBg+0ZNsyBoUOTCQxMYsSIFN57z5nhw/UksbEAG/fDjqNwIRK2/SEbzFs3lL3WQZPna95q2HwYzlyFkHnq38rIkE75vPZaLgoFxMbakpmp4s03lWzYIK9qDwyEt95SMnKkhUK7qPm3vFvaODjA0MHw42rz3ufQCWjeD9oPgT1/wqbFUEXLOXL5LLj/ADq9Aq1fgq37Yce38kKEstBo8GCaDBvGb0OH8l1gIFtHjKDde+/RbPhwAHwCA2nz1ltsHTmyVNdzqVqVOj17cvbHH59e+F/CbTIZwBVe5iobSeRT/KiDpq35nSRe4iqvcY3bZPIltdRr8eE4qfyXGGZRnXM0ZxcN+EMdRj4P81Tm0vSjC7+BFr1lpWFuHqwJNc29rbltHj3amd27M4iLKzrAcnCAoUOdytUzIb/P3vYXLNoM4TflcKu/n4RxfdRl1H3Ftzth1V44dxPe+Qau3oVRPU0v08Yw2PEHXLgB2w7LOdJbN5a91ssDa6o/SiWcOZPOjBn3OHcug++/T+L775MYN05uiAMDHXnrrcqMHBn9lCsZz/IB0NgHXl5r2Pff3gaBX8q51OtUhi+DjZeppDlFPj/9lECLFud49tnzXLuWwaZNAdjbmynptBbWoD9QKhWcOZPBjBkJnDuXyfffP+L77x8xbpy73vKjRrnz00/JOp6I/8tY8/MZPdqR3buzCvqKxESJQYOS6dvXnsePPUlO9sTdXcHp09lmma8XlceV3buf6K3PlqBwX5rfl3377RNWrUrj3Lls3nknmatXsxk1yryReAA27lP3Wzdh2xHo8w60biR7rWuzcC20eBWCJqjHPbNNc/9q1exZvLgew4ZdIDOz5Arh4KBk6FDvcvFOB+sZZ7z2WrZ6TupIZqYDb76pYsMG8+i7DMGS42ZtrK3tyefQX9C8D7QfKKcs27RU83wK9E/LYfMeOHMBQqaodRrPG37P5e2gsQe8rCeF3E83ocU2eHYnXEuBTV3BXo9NrW0VaOgBPxoYYr20qFSw6Qe1PuN9zfGCZxMKm3+HMxEQ8qb62fQz7p7Lu0PjSvDyTv3nXexgZ3+49ABmaxlplQqws4E3D0FYFJyMg1d2QV136Fpd/7VKIpYUprCDGexkH1eZQEeqIq+kGEILnLBjLnv5gN/ZySUm05nq6hzr2lTEiWb4cpDrZReiFFjbHLAwo3rAT0fklJHmZrmbisYqJS8/1NwsMQ8GPcymr4MNj73tSPa2w10Jp7Py9Canq6qEnvZKfkwzTUM0eLCKYcNsGTo0ncDAJ4wYkcF779kxfLjsfFDQl23LYdGiLMLD8/jssyx+/z2HceNMGw1nuTc0toeXC6U9mesJ7jbQPQpaRcKXD+Qc6o3VkSImVQQXJcw3Mv2ZtdK1a1fOnTtXsC1RO9q0bNnyKd80L2ZbtpmWJq/scXR0RKEwbPL65MkTEhOL1ogaNYqJJWdC/Pxs6NHDgQED7hc5V6GCgj17vEhNzaN//wSzhAsviXwjQI2q0G2wrkcmwIYt8uZZGZ6kyZ3mO2MhMsq0ctxTeyl4eWn28z+fC5f3u3WTPVU9Kmo8xSdMgKAeMGIEfPaZaWXKN6bXqA7dgot6p4McCvpBEly/KeeQuXsB2j4DJ0rI/1RWOrUEz4pwZ6+ubF+8C5OHQa3euuVDguFBMmw/bDoZFi5UsWBBTkHupwsXcqlRQ8H06SrWrJGPnTkj0aJFJq6uYGcHiYlw4oQ9p06Zf5ScnJzLtWvp+Ps70qSJkjp1HHj0qK1Omd9+q8+ff6bQtWsZ4wgbSFo63IySt5Nn4doRGP0yLFiuKePjBYc2yqG2xk4r/lqm4F/xrp+T9+PU+dC0IzJnZUFkJPgVkxvaWEp6Pt06yrmwPRpojk84D0HPwojB8Nkyw++7cKELCxY8KciXeuFCDjVq2DB9ujNr1ljfksBbsZDwEPyrwcHTEKdeSXzplqZMVjZExoKfiRY6RUZCly65ODnl4uoq15uff7YhMlKiUyclnp5w545mCKJSKfjiCyWTJyupVcv8naq1vFtlZWB/2UNgzfqnlzWGtHS4eUfeTp6Da/tg9CBY8C10awd9uoJHK613azYEdYAR/eGz70q6si5BCxdybMECLm6UXRbvX7iAW40adJw+nfA1a/Dr1AlnT0/evqNJLqVUqXjuiy9oO3kyi2vp5gxuERJC+oMHXN1eKOnev5hsJO4gr1i/RDqNceY1qjAb2ZD2mDwek0kUmURwi79oQg/c2YXsvrGaBFaTQBVUpJBLVex4B1/uYp5V8KXpRx88lLfrt+Dydbj7N7QNhBMl5HorDdbaNstzCnsGDNDvxjFwoBNOTgrWrDG9V0RxJCZDdg5cKtSmXb4DHRvL+3Fqb3B9ZfzKIVrHrRh131UdDv4N9x7IY2ttbGzklCb3TOCk/bT6c++ePDb28lIW7Od/PnfOtP1WXFxOkTDuly9n8NJLsqKwUydnPD1V3LnToOC83I/6MHlyZWrVMk0OyKUDoE9DeHY5xGg5NN5LAXsVuDnoeql7VZDPaROfKm9X78sh449OgrlhcM+Ezr7ac4p8UlJySUnJ5caNDE6cSOXhwzb071+Jn382n7bJWvQHcv3RbeMvX87kpZeKhiHq2NGR+vXtGTLkfyOqS2mw1ufj56ekRw87BgzQ9R7ety8Lf/8HVKqkICcHkpMl4uIqExlpXiO3n5+KHj2cGDAg7umFywF9fWm+of/SJd0X6vLlHPz8zO+hXpiCfqsaHNTSLT1Ilrfrd+Dybbi7E9o2gRPni71UqWjZ0hUvL3vOnNHkpFKplDz7rDsTJ1bD3v5ggfFz4EBPnJxsWLOmfH5PaxlnREZKdOmShZMTWnNSWyIjJe7dkxfJeHkpCvbzP587Vz4LjCw5bs7H2toebXSezzm4dhBGD5Zzycepu9pLWsEZsrIgMlr25DeEpW2hT3V4dhfE6BmWp2TL240UOJEAD4dB/xrwcyG/oDEBcPYBnDFjEKF8Y3qNatBtgK4+I04dWfKSlkE/K0vWZfhVM/yeS7tBn9rw7EaI0ROIp4It7BkAqVnQfzvkaKmV49Q240tazyQxXd78CkU3Kg255BV4nN8iiTpU4nkasJ2L9KIB77KNuzwCIIqH1MeTntTnB07oXKcL/qSSyWlMv0jVGueA2nRsCPWrwZDPzX+vpW4q+jgoeTYxq4hn+b5MCf/7WVRSQo4EyRLEedkRmV7ULhHiZMODPNieYRqbxcKFDixYkMnGjfI44sKFPLXdxI41a7JJTJTIzpa4dEm33bt8OY+OHU3nob7UG/q4wLO3IUZrSFPbVjaYN7oJ+VPDiEzo5AQTPGD8PejmBO0cZe91bU7Vhp+S5bzs/2acnZ3x9/fXe9ySmGyUmZyczOnTp7l27RqJiYnkqUduKpUKHx8fGjduTPPmzbG1LX2IyZs3b7J169Yixz/66CNTiV0sISEu3L+fy86d6TrHXVwU7N3rRWYm9Ot3v9xXcucbAerWgq4DIamYcNQge2YChLwMGZmw7w/TynLrlmxE694dwtUGdBcXaNMGvlanL3BSLwwuvIoxL69oKCxjyTem160DXfuV/GzyyV8Va2/iNFtrd8B+3X6avV/D2t/150gPeRHW7DBtLiQnJ0WR556bq/+5p6iVX/7+Clq1UvDhh+YfJDs7y0b0tWsT2LQpkR9+0I0nfuFCC95++xY7dlguBLxSqVs3fNXG9NPnIeRd3RzLpuZf866rIzycPg0ZGRAQAMeOaf6HmjUhygxGyKc9Hye1TrVI2yNp3ntD0f9uSSZv00xF1SpQyU1jSD99Ra4nAX5wTJ1PXmUDNX0gSn9aKYNJS5M3d3fo2VPBlCm5/PabxP79ug9w714Va9fmsXKl+RfzWNO7VVZGj4DtO+XFT+WJdltY7LtlQL9u6+SEVOhCUm4uCvWFItauJXL/fp3zr+7dS8TatZzTkyO9eUgI4WvWkFfeKx3LEQVgS/GNmAJFgYe6NgnIz+R5PIgji0tmCGmnj8L9qL7zYJpxmLW2zSEhzty/n8fOnfqN+qNHO7N9ezqJieXn8pOdA/9chYBCHiH1qkKUejh2+x7EJEJAIcVbvWqw24SLUIujqqe675LTIfJXhJx/NrABnFHnz+z2jFyHThpplICn159bt3KJi8ule3c7wsPl98nFRUGbNrZ8/bVp36djx54QEGCvc6xePXuiomQj4Nq1D9m/X9civXdvbdaufcjKlaWYAJWCpQOgfxPoshxuFxqKn74LWTnQvR5sVo8j6lWBGhXhrxLGfAXzLhPbubTnFPpQKOTNvphcjKbCWvQHx46lERCg26jWq2dHVFRR96PRo905dSqdiAjz55e3Fqz1+YSEOKr7Cv33evBArjddu9ri6alk+3bzyhQS4qquz5bznNNGX196+3YuMTG5BAToNir16qnYvbv8F9IV9FslGNEK2kETZN45cCCJxo114/SuXNmQK1fS+Oyz2zp92ujRVdm+PYHExHJwQ8T6xhm6c1IbpkzJ5tYtibg4ie7dbbT6dWjTRsnXX5fPcypMeY6b87G2tqcklArN/376glqnURuOnZKPqVRQsxpEGbAGamlb2TjeZTfc1p+1RQcF6rFFoaGFswoG14Lpp8ouQ2nJN6bXrQ1d+xfVZ5wOV+vm/OHYSc13alaHKAPtxku7QX9/6LIJbuvJAuJiB3sHQGYu9Nsm/9XmmPo3CfDQGOM9HKCyI0SZIKuIAgUqbLBDNnJKhaKx5SGh0DNH7oI/fxBJrhmit1njHFDn/kFw6jpE3DbvfZa6qejvoKRLYja3SzA1PFA/hq52CjyV+o3mIU42rEnPxVTaHienonotbbtJdjb8808uAQG6L3q9ekqiokxTZ5Z6Q38X6BIFtwt1PU7q2xaOlJmLZjzx5j2YqTUF8lVBWA0YchdO6k5JBCbEJNPZY8eOceTIEXJycpAKWZiys7OJjo4mOjqaI0eO8MILL9CgQYNirlSUwtcz1Nu9LCgUEBJSgdWrn5Cr9bK7uCgIC/PGyUnBq6/ex9VViat6JVVCgmnCBjk7gb+Ww1Wt6tCsESQ9kleZ/fo9BDaBPsNlrwwvdXjVpEfyiw4wIQSOn4LHT2RvzIUfwrRPIdmATsrZGbQXgtSqBc2aQVISREfDosUwcwZcvy4b3eZ+DLGxkL8O4q+/5DzKq1fBx3MhPR1ef12+zs5iQsSUKIv2s6kBzRrLg4e4ePh1FQQ2gz4vq5+NelVr0kP52bRuCc+0gKMn5PwxdWrB3A/gRiT8ZcCA3dkR/LU8b2tVhWYBkJQM0ffkv9pk58geNNdu6x7v1gZqV4Mffiu7DCWxY0cuM2bYcueOxMWLEi1aKHjnHRUrVmi6noEDlSQkwJ07Ek2aKFi82JatW/PYt8/0HfrChTXZsSOJqKhMfH3tmDPHj9xc2LAhgcTEHOLji05a7tzJ5PZt0wzYnZ3Av6bmc63q0Kyh/O48eAgzJsH2ffJK18oVYcJwORT/L+p66usFhzfJg/P3PtENxRWvX3/3dHn+Te/6Ipg5U+tdn6v7rqemwjffwJw5cvmoKHhfHXbql18MkMfI5/PXaXiYDKsXw8ehkJ4Brw+Tr7PzQNnl0WbHjkxmzHDmzp1cLl7MoUULW955x5kVKzSjFQ8PBX5+Nvj6yiOggAB5YH/vXl6R/KtlxdlR9nzIp5YPNKsr55FNSoFZo+C3w3J7U6cqfD4BbtyFverJVGoafLMV5oyB6PuyEf39ofK5Xw4aJVoBzz2nQKGAq1cl/P0VLFxow5UrEitXSuTkyPVKm+xs2WPgmgnColnlu1VHS54a0Kyp+t26Cx4e4FcdfNV5BAPqyn/vxUO81jqjOrXh2Y7wfP+yy6AjjxP4awX6qVUNmjVQt4WPYMZ42H5Q3RZ6wIRX1W3hbrn8X2fV79bn8PEy9bs1RL7OzsNlk+Xajh10mjGD5Dt3uH/xIj4tWtD2nXc4t2IFAOlJSaQXqix52dk8vnePB4UqS61u3fCoXZszP/xQNiGsmLfx4Q9SiCMbZ5T0wYPWVOB1blINO3rjwTFSeEgOXtgxBi8yySsI6w4wCk/+JAUJ6IEbr+PFO9zWG0LtaRjbj7ZuDs80g6P/yHWoTg2Y+x7cuA1/mcDLxtJtsz7kOYVTkTlFPnXq2PDss3Y8/7zpV8k4O+jmIK3lDc3qyP1EdAIs/AU2zoA/IuBQOPR6Bvq2gy7var6zcBPMGQHhkXIo1hFBUL86DPzYAHkcZW/zAnmqQrN66r4rGWa9Ab8dgHuJUKc6fP4W3IiGvWpbwZVbsPsYfD8Txn0KtipYNhV+3gtxJnh8pak/ixalMXOmM9ev53LrVi5z5zoTG5vL1q2mVS6HhiZy/Lg/06dXYdOmZFq3dmLs2EqMHSvHAExKyiUpSbdCZWdL3LuXw7Vrxsuy/CUYGgjBKyA1E7zUjrvJGZCRLedC//EkfNlP9jpPyYCl/eH4LTipNqj3biB7rP8TDY8zoZE3LOwr52KPMtLmX9KcolYte4YMqUxY2CMSErKpVs2eadOqkZ6ex65dpllsoA9L6g8KExqaxPHjNZk+vRKbNqXQurUjY8d6MHasrmeqi4uSQYNceffd+GKu9L+JNT4fuf44snp1RpG+YuRIBy5fziUhIY927WxZvNiF0NA0rl0z3wJ4WR5XVq9OKSKPl5cN3t42+PvLFuEmTexITc3jzp0cHj40j1GgpL504cJU5sxxJTw8m3Pnshgxwpn69W0ZONB419Ai/Zavut9KVs+5XoffDqrnXNXg80m6/VbrRvBMQzgaLud2rlMN5o6Ty/xlgoVgjx/ncvGi7oKHJ0/yePAgW+d4nTqOPPusO88/f874m2phbeMMfTz3nLLQnNRWPSeVK9KiRTnMnKni+vU8bt2SmDvXlthYia1bjX+/rH3cDJZte4rMSaur56TJ6uczAbbv13o+r0FVb/hll1w+9TF8sx7mvAXRsbKe7v2x8rn8MqVleTsYWhuCD0BqNnipF5AnZ8k50Gu5wJBaEBYDCRlQzRmmNYX0HNhVKDzzkFqgUsC6m4Y9F9Cj+/YrpPteAYFNoc8w/brv1MfwzWqYMwWiY2Qj+vsT5TK/GBDIbXk3GFofgrfL3udease55CzIyJGN6WEvgZMKXt0NrnbyBpCQLhsDrz+CrTdgcVcYuw9SsmB+R7iSBIfKaOR/hUDOEUMij3HAlo7UpiHefMo+YkkmjhRepx1rOcVjMnmG6jTBl8/QVQQ2xhsvXDiI6WPzW3wO6KP5XMsLmtWCpFSIVt/OxREGdYB3V+i/RvXKUNEF/KqAjVL+PsCNOHhShvVqy91UDHVUEpyUTaok4aU2ECfnQf5lRjoquZwjkZAn0c5OyWI3FaFPcrmWq2sP7GanoLZKwQ8mCvcOsGNHDjNm2KvtJrm0aGHDO+/YsWKFxj6xcGEWGzc68scfuRw6lEOvXir69lXRpYvxC6qXe8NQNwiOhtRc8FI7vSfnQYYEVzLheqacN/29eHiQCy+6QJAz9FG/N9E5oL3C4LH68dzM0vV2F5gWow3qe/bs4e+//9YxfBc2euefe/LkCb/88gutW7emZ8+epTaO55crbFw3Fz16OFCjhooVK3RX/gcG2tO2rewtcPOm7jLKmjXvEhVlfE1t1QwOaxlWQ+fIf1dthNlfQLA6l1C4rsMWXV6CI/kD9+Yw512o4AxXbsAbU2CdgcbaVq3gsFbumNAv1fKsgpBR8Pnncmf/3bfyas+jR6FXb8hU63IePJA/z/sEDh4AW1u4eBGCX4SIiDLK0hwO79CSZZ5alvUw+zMIVufJCf9T93td+sKRY/KK1AF9YM40efAWFw97DsAnX8jhb8pKq0ZwWKvzCZ2ilmcbhHxY+uuM7g/HzsLV22WXoSQmTcpm7lz46itbPD0VxMZKfPttDh9/rKmnPj4KvvxShZeXgrg4iTVrcpk71zwtbrVqdmzYEEClSioSErI5ejSFtm0jSEwsnxa+VVPZIJ5P6Cz576pfYNwHUL8OjBgoG5AePIJ/wqHTQE2YpKBOskdr3VoQU2gBhsKAkOZW+a4f1pJHnZtr1So5F3rBu/6d1rveS/Oug2xAz8mBtWvB0RFOnpTTPjx6ZIA8Rj6fB0nQayjMmwYHN6nbnqsQHAIRlzCKSZNSmTvXma++csXTU0lsbC7ffpvGxx9rFBf9+tmzapVbweeNG90BmD37MXPmGOfp0ao+HNYKAxf6lvx31U4YvxCa+sOI58G9AsQmQtjf8OF3clj3fN5fBjm5sPYjcLSHkxeh2yR4ZKIQrG5uMH++DdWqyYbj337LY8aMvHJJkWJ171YgHNZK/xGqDqm1ai2EvAH9XoBVWmHSN6rz1M6eB3PmaY6PGgF3YyCskNxllqcxHP5JS54Zank2w7gP1W1hf1lx8eAh/HNezpWeH07vwUPoNRrmvQMH16jfresQPB4iyhhlePekSXSdO5fnv/oKZ09PUmNjOf3ttxz5uOxatBajR3Pn2DEeXL1a5u9aKxWxZQE1qIItqeRyjQxe5yZ/kUoVVLRUh393w4ZEcjjNY4ZyjSStGVVHXBmLF3YouUo6E7nFnxiwMgTj+9G0dBjQC+a8Iyup4+7DniPwyRLDxmGFsXTbrI8ePezVcwr9E+5Ro5y5ezeXsDDTe/u0qgeHv9B8Dh0v/10VBiELYesxGLcYpr8CSybIOUtfmgPHLmq+s3gLONhB6DhZqRIeCUFTIdKAiLGtGsLh77XkUSvUV22H8fOhaV0Y0QfcXSA2AcJOwIdf6fZdw2bIRvQD38jeBL8dhDdNFKawNPXn88/TcHZW8N13Lri7Kzl6NItevR7pjIVMwalT6fTvf5v587356CMvbt3KYvLkWNavf2TaGxXDfzrIf49M0D0+cgOsVo+B394mK0h/GynnD917Ff6j1U+mZ8PrbSH0RdkjPfohbD4PC4xc1AglzylsbZV06uTK5Mm+eHioiI/P5o8/Umjf/jwJCebzOLSk/qAwp05l0L//XebPr8JHH1Xm1q1sJk+OZ/163bb/5ZddUShgwwYTuIb9i7DG59Ojhx01atjoLODJJyBAxfz5FahYUcnt27nMm/eE0FDzRpnp0cOJGjVsWbGi6P8+bpwbs2drVpb/+adscR458h6rV5swl4OOPMX3pYsXP8bBQUFoqBsVKyoJD88mKCjBJGGpWzWAw99qPoe+I/9d9TuMX6Cec72g1W+dhA+/0fRbaRkwoCvMGase9yTCnr/gkxW6fZu5GTXKl7t3MwkLM238aWsbZ+jDzU3B/PkqqlVTqOekucyYkV0wJ/388xy1jsNOrePIo1evLJP069Y+bgbLtj2tmsDhDZrPoTPlv6t+hXEz1c9ngNbziYBOQ+CSVqrr9+er9U9fqnUa4dBtGDwqY7P9H7XP35FCuddH/gGrb8hG405eMLkReNhBfDr8EQ/tf5cN7NqMrgebo2Rjs6G0agaHtSKbhn4i/131M8z+HILVKUTDD+t+r0swHDku778/W/1slqt1c6fl0PCPCjl+lYb/NJf/Hhmse3zkHlh9CQI9oa3agHtztG6Zmj9oPNCH74HQLnKO9TwJjtyFXpt1Q8OXBlcc+A8d8cCRNLK4w0M+ZR/nkRuOBexnKC2ZQjccUBFPKl9xlHPohi7oSl2ucp9YA+fGJWHROaA/HP5U8zl0jPx31QEIWSzvv/ysbPTfUEwExo+Hwcjums/n1N/r8gEcKUNG1v84yxbiI5V1w2qMfJjNanVI9wCVgvmuKioq4XauxLzUXEKfFO3DRzvZcCwrj6s5prMNTpqUwdy59nz1lYOW3SSbjz/W/C5bt+YwblwG06fbsWSJA1ev5vHSS+kcO2b8OOM/6nRmR2rqHh8ZA6uTZTv589GwwBN2+EEFJdzIghGxsLsUkTQE5kMhGWGlPnv2LNu3b9drGM+/rD7jukKhICAggIEDB2JjU3zOgYiICLZs2aJjUFcoFGUO+R4XF8d3333H2LFj8fW1bDgzSapZsK8wMK+LKZG0cikorCBcsaTVkSoqFl+uvIg4cp7NmzczYMAAmg5rYmlxkLQWISgUlo/dIUmaXIUKxTELSiIjSR0K9g0xcpuaiJ1a9aenZeuPzrtu/kAfT0W757G6tlBheU8dSfIq2Fe0t6AgaiK+1arLTetbWhwkSRMn0erqj5Pl5MhH0pq3KepaTg6AiM2aurO5aVPLCgPM0mp80tIsk69MGycnTYVpyFkLSiJziRYF+9bQj0p3NPvW0DZHRNzXags9LC0OkqQx0CmCLCiIGmmfZl8RaDk5ACQt7y3rqzvlmzJMH5KkaY8V71hQEDXSl5p9q5tTKG5bThA1ERGpWvWn/HNDF0aSNBEHra0vVSguW1AS3WdjDW2PzpxCcb2EkuVDRESG9fajz1hQEDWS1sJ9hcLIVbQmQJJ6FOxbwzgj4kvtOWnRnKrljY4+TIybddBpe2pbUBA1Edu06s4/VqDbHaXZV1SxnBz5SFpRNxVfFl+uvJC0xqZDWG05QdRsZETBvkJxt4SS5UNExENNfZ5hBfVZK/KBItbCdjdfTdoshcLyi0YlybVgX2Gkc5cpiPXQ2Eh9fHye/gWBXgw2oaalpREWFqZjMJckqWAr7phCoUCSJK5evcrPP/9Mrr7YFwKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQWBiDDepnz54lI0OObVLYiA6y4Vx70y6Xb1S/efMmmzZtIs8cycMEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIDACgw3q586d0xvqvbABvbjj+Ub169evs2XLFkPFEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoHALBhkUE9PTycxMREoajTPP+bk5ES1atWoXLkyNjY2RXKqaxvVL168yO7du436RwQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgMCUqQ74UGxur8znfMC5JEu7u7vTp04c6deoUnM/IyODcuXMcOXKEjIwMnfL5+//88w/Ozs48++yzxv1HAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBCYAIM81FNSUgr2tcO+u7i4MHr0aB1jOoCDgwNt27Zl/Pjx+Pr6FhjSQddT/fDhw5w+fdoQkQQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgMCkGGdQzMjJ0Pucbxbt3706FChWK/Z6rqysjRoygVq1aOkZ10Hi579q1i8uXLxsilkAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEJsMgg3p2dnaRYwqFggYNGjz1u3Z2drzyyitUrVpVxzs9/xp5eXls3ryZ27dvGyKaQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQmwSCDuq2tbZFjzs7O2NnZlfr7w4YNo0qVKgBFjOo5OTn8/PPP3Lt3zxDxBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAwGoMM6voM53l5eWW6hqOjI6+++iqurq5AUaN6ZmYmJ06cACg4LhAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAJBeWGQQd3FxaXIsbS0tDIb1V1dXXnttddwcnICihrVhSFdIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBJbCIIO6h4eH3uN3794t87UqVarEsGHDCrzeCxvVBQKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCCwBCpDvuTh4YFSqSziQX7t2jX8/PzKfD0fHx9eeeUV1q1bR25urlm90yWpplmuawhSrKUl0EUqW4ABsyMlWVoCOH9esy9FWE4OfUiSo6VF0EGSOlhaBB2kO5aWoFD9saL33dqCf1jTswGQJC9Li6CDdNzSEhSqy5Kt5QTRg9XVnzRLS6CLdN2y99euO7OsrPHJj5BkLVyihaVF0MEa+lGA6OhoHj16RIQVjMPu3NE8FEmqZkFJiiLts7QEukhnLC2BBmvo18+fv1+wL0lNLShJUaQvLS2BLlY3p7AC/cF5rc5UkhpYUJKiWFtfak3PxxraHm0kqa6lRShUl62sH/3H0hLoIkk9LC2CDtYwztCdk1qZPsxKxs35WFP7I0VaWoJCdWeU5eTQh5RgaQl0kd6xtAS6bGSEpUXQwRr6rvPnHxbsS9stKIgeJF97S4tQgCS5WloEHaSGlpYA4uIsLcH/BgYZ1FUqFZ6enty7dw+FQlFgAL9w4QLdu3c3yLO8Ro0aDBw4kE2bNiFJkgj5LhAIBAKBQCAQ/D8mOjqaFStWWFqMIri7u1taBIFAIBAIBAKBQCAQCAQCQTlikEEdoGrVqty7d0/nWEpKChcuXKBJkyYGXTMgIIB+/fqxbds2QORRFwgEAoFAIBAI/r/y6NEjAFq1amVQFCxz4O7uTvXq1S0thkAgEAgEAoFAIBAIBAKBoBwx2KBes2ZNTp8+XfA53yv92LFjNG7c2OD8582aNSM9PZ29e/cWeL+bEoVinkmvV1YkaUbBvkJxzIKSyGiH1FMoLB/vT9KKLaNQfG1BSWQiIjoW7FuDPJI0vmBfofjJgpLISNKwgn2F4rIFJZHRDvGnUMyxoCQyEREDCvYVituWEwTdcJUKxSqLyZGPJI0s2FcoDltMjnwkqUvBvkKx1HKCqJGkSQX71vB7RUS0LNhXKHZYUBIZSepbsG99v5fl2x5JmlWwb+n6o1t3rGuckZZm+fj82qFyra9ft/zvFRERBICfnx9Nmx62rDAUftfjLSiJjHY4T+urPz9YUBKQpDEF+9bQT0REdCnYt4Z3S3fOddhygqjRHYdZPu+XJFUs2LeGdysiQpMmwNrmpFbXl9a2oCDohja29BgMCs+5LF93dPUrhy0niBrdtsfa2mbL6i6hsP5yleUEUaM7r7C2vsKy4x4oPPaxpnHYbgtKIhMRoQnTbXXv+psWFESNtESzb31t837LCaJGOwWH9Y0LN1pQEhlJGlKwb+n6o1t3xLMpTGxsgKVF+J9AaegX/f39C/Koa2/379/nn3+MSz7Utm1bOnXqVOCdnn9tgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAjKC4M91B0cHGjbtm1BKEZt4uPjC/KgG0q3bt3Iy8sjJibG4GsIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQGAoBhvUAYKCgkwlh1569Ojx9EICgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEJgBg0O+CwQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUDwv4wwqAsEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAoAdhUBcIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQA/CoC4QCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgR6EQV0gEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAj0Ig7pAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBHoQBvWnoFQq+PjjzkRGTiAtbQo3bvyHmTM7ltv9Z82qjiR10NkuX26ht+yuXQ2RpA4EB1c0mzydOlVl+/ZgYmLGIknvEBxcp9iyX3/dHUl6h7fe0i+vsUyb1oK//36JlJTRxMePZMuWXtSr565T5vXXG3DoUD+Sk0cjSeNxc7Mziyyllcfe3oZlyzqRmBhCauoYfv21J56ejmaRZ9y4uoSHP09y8mCSkwdz/Phz9OrlqyWLkmXLniExcSCpqYP59ddOeHo6mEWWfHx9Vaxd60tiYl3S0gKIiKhFy5aae0pSA73be++Zr04Xx9SpHZCkWYSG9iyX+926VQ1JqllkW7ZM/t+/+aYSN25UJS3Nj/v3q7N1qycBAbZmk2fatCb8/XcfUlKGER8/hC1bulGvnmvB+Ro1KiBJI/VuAwfWMLk8s2bVRJK66GyXL7cuOC/X57okJnYgNbUTv/7aCE9P8z2fTp182b69DzExIUjSJIKDa+ucd3a2ZenSzkRHh5CWNp6LF4fxxhuNzSLL036rfNq2rcKBAz15/HgYyclDOXKkFw4ONmaRSZupU/2RpL6EhjYqOCb/Xo1JTOxJampvfv21FZ6e5mmfn/ZbAdSv78G2bS/w6NFYHj8ex99/D6Z69Qpmkacws2Z1RpJm6WyXL08ol3uD9dUfaxpnWBvTpjXi7797kZIymPj4l9iy5Vnq1XPRKVO7dgU2b36W+/dfIjl5MBs3djRr317S76VSKVmwoBMREcN5/HgSMTFjWb26Fz4+zmaUx3ra5lu3KiNJXkW2Zcvk36x2bRs2b3bj/v0qJCdXYeNGNzw9zTc1s7b6M21aM/7+O5iUlOHExw9jy5Ye1KvnplPmm286cOPGYNLSRnL//jC2bg0iIMCtmCsax9PqjiRN0ru995552h9rbgunTvVDkroQGupfcKx2bQc2b27E/fvtSU7uyMaNDc02DlMq4eOPHYmMdCMtzYMbN9yYOVO3ns6a5cjly248fuxBUpI7+/a50Lq1ecY81vduWdcc2dJ0ega2fw8xf4EUCcFBuudnvQWX98HjC5B0FvathdbNil7n+a5wYjOkXZLLbfnGNPKVZhzm5eXImjWdiIsbwuPHwzh9ui8DBph+vmWNdcf65oAlt82zZrXj8uWRPH48iaSk/7Bv30u0bu1tNnkKY0n9pTXVZbDGvqLkcY+Hhz1LlrTjypWBpKWNJCrqZRYvboerq3nqs7WNw7SZOrU2ktSb0NAGWrI04saNzqSlPcf9+93ZujWQgABzziksN8fpVAe2j4WYuSAtgeAmuuc9XWDlMPn8k//C7vHgX0VzvkZF+Xv6toHNjZfP2trlwkydWgNJ6kFoaD0AatRwQJJ66N0GDvQ0+f2tbVw4blwdwsN7kpw8gOTkARw/3p1eveR+ycPDjiVLArlypTdpaS8RFdWHxYtbmK3dAeurP9b0fJ72bF5/3YdDh5qTnNwRSeqCm5vKLHJYEwkJCYwfPx4/Pz/s7e3x9vamZ8+eHDt2rFTfX7VqFe7u7iaXSxjUn8LUqe0YPz6QiRP30qDBt0ydepApU9oyaVKrcpPhwoUneHv/XbB17Hi+SJnJk32RJMnssjg72xIensCECQdLLPfii/60betDTMxjs8nSubMvy5dfoG3bzQQF7cDWVklYWB+cnDQNipOTLXv2RPPpp2fMJkdZ5AkN7UDfvjUYNCiMzp234uvrxObN5jHY3r2bxrRp52jZcjetWu3m4MF4tm17loYN3dSytKRv36oMGvQnnTvvx9fXkc2bnzWLLADu7kqOHatBdrZE797RNGwYybvv3ufhw9yCMt7e13S2kJBY8vIkfvst1Wxy6aNVK1/eeKMl4eH3yu2ezzwTi7d3dMHWo4d8719+SQPg9OlMQkISadAglp4941EoICzMC6WZWvHOnb1ZvvwKbdvuJCgoDFtbBWFhzxXU5+joJ3h7b9TZPvroLKmp2ezeHWMWmeS28HjB1rHj2YJzoaF16Nu3EoMGXaRz57P4+tqxebN5jCSQ3xYmMmHCEb3nv/yyI716+fHqq2E0aLCORYvOsWxZZ/r2rWVyWZ72W4FsDN2zJ4iwsFhat97JM8/8zrJlV8jLM2+/0aqVG2+8UYPw8GSd46Ghjejb15tBg07RufNxfH3t2bz5GbPI8LTfqnZtV44efYkrVx7SpctmmjZdz9y5/5CRkau3vDm4cOE+3t7/Ldg6dlxRbve2tvpjTeMMa6NzZ0+WL79G27Z7CQo6oB5ndMfJSVb8OTnZEBbWDUmS6NbtAB06hGFnp2THjs4oFOaRqaTfy8lJRWCgJ3PnniAwcB0DBuwgIMCD7duDzSMM1tU2P/PMA7y9Ewq2Hj0eAvDLLxk4OUFYmDuSBN26PaRDh4fY2cGOHe5m+62srf7Ibc8l2rbdTlDQbrU8vXTantOnEwkJ+YMGDX6lZ8896rFPb5RK0wv0tLrj7f2jzhYSsl89Rr1pclk08lhfW9iqlQtvvOFDeLjmfk5OSsLCmqnrczgdOpxV150mZqk7U6c6MH68PRMnptGgQTJTp6YxZYojkybZF5S5di2XiROf0KRJMh07pnL7di5hYS5Urmx6gazv3bKuObKlcXaC8MswYZb+89duwcTZ0KQ3dBwMt+9C2BqorLWee0AvWPsFrPwVmr0AHQbB+u2mka8047A1azoSEOBKv34HaNJkG5s3R7FpU2eaNzftonNrrTvWNwcsvm2+du0hEycepEmTNXTsuJHbt1MIC3uJypXN40RRGEvqL62pLoM19hUlj3t8fZ3w9XXivff+pnHj3xg58gi9elXjxx/No6OztnFYPrL+oDrh4Sk6x0+fTiEkJIIGDf6kZ89/1LI8YzZ9mCXnOM52EB4DE37Rf37rGKhdCYK/hxafQ1QS7J8ATur1TdEPwXuG7vbRLkjNgN2XTCKiVbXL2rRq5cobb1QjPFyjQ46OzsDb+w+d7aOPbpKamsPu3Q9MLoO1jQvv3k1n2rQIWrYMo1WrMA4evM+2bR1p2NAVX19HfH0deO+9cBr/X3v3HV/T/T9w/HWzt1gZRiLEqMaKFTtGiqIEpaVfYn6NDh3forRoq6hfm6K+uuyi9FtValPUrlFixIzEisieEhn398dNrly5Em3vvedo38/H4z7ccdz7zjmf85nn8zkB2wgL+41u3bxZvNg8fXNF1JR+1LZ/Sts3Tk7WbNuWxEcfXTfb76tNv379+P3331m+fDmXLl1i48aNBAcHk5ho+nP3j/j7X8rwF7VuXY2ffrrEli1XAIiJSeXFF5+mRYsqZfxP08nL0xIXl/vIzxs1cubNN6vQrNlp7txp8cjtTGHbtmi2bYsudZsqVVxYsKAjXbuuZ/PmPmaLpXv3zQavw8J+IT5+GE2bVmb//lgA5s2LAHSNQ3MrKx43NztGjKjHoEG72LNHN+A4bNgeLlx4kZYtPTl6NM6k8fz8s+Gg5tSppxk7tjZBQZW4eTOLESNqMWjQQfbsiSuM5QgXLvSiZcuKHD1q+oxp4sSK3LiRx/Dhsfr3oqMN03VcnOEAVu/eruzZk8W1a49O/6bm7GzLqlV9GTVqE1Onmu8Cg4clJBQYvJ40qRxXruSyb182AF9//aDjMiYGpk5NJiKiKjVq2BAVlWfyeLp332nwOizsAPHxL9K0aUX274+joEBLXNw9g21CQ31Yt+4amZmmjweK8sL7Jd53c7NmxAhvBg2KZM+eFACGDbvIhQstaNnSjaNH00r8n79q27YYtm2LeeTnrVt7s3z5Bfbt052HX399jn//O4AWLTzZtOmaSWMp61gBhIe3YP78SObMeXBB1qVLpt8vxTk7W7NqVSCjRp1m6tTa+vfd3GwYMcKHQYNOsmePLq8ZNuw0Fy50pGVLd44eTTFpHGUdq5kzW7FlSwwTJx7SvxcVZd5987C8vALi4jIt+ptF1JZ+1FTPUJvu3fcYvA4LO0x8fP/CY3WXNm0qU6OGM02abCE9XZcPDx16mOTk5+nUyYvdu01/kVhpxyst7T7PPPODwXsvv/wLx44Npnp1V27cMP3FcmrKmxMStMCDi04mTbLjypU89u3LJSTEjho1rGnSJIn0dN02Q4emkZxcmU6d7Ni9u2RZ91epLf107779oXh+JT7+JZo2rcT+/brf+vrri/rPY2IymDr1BBERfalRw4WoKNOmn7LSTlxclsHr3r1rsmfPTa5d++fkhbpy/SlGjbrE1KkPZhS2aVOOGjUcaNLkOOnpurr80KGRJCe3pVOn8uzenWzSOFq3tuGnn3LZskXXPoiJKeDFF3Np0cIGyAFgzRrDc+iNN7IYOdKBhg2t+eUX09ZT1XduqauNrLRt+3SPR1nz0MD4GzNh5EBoWA9+OQTW1jDvXfjPbFiy7sF2kVdME9/j1MNat/Zg7NjDHDuWAMDMmRG8/np9mjatyKlTSaYJBPWmHXW1AUvPm9esuWDw+o039jFyZAMaNqzEL7/cMHk8D1Oy/1JNaVn3W2orK0qv95w7l0z//rv1n0dFpTNlynG+/TYYa2sN+fmmvZBZbfUwKKpnNGLUqLNMnWq4+sPXXz84f2Ji7jF16mUiItpSo4YTUVFZD3/VX6ZkG2dbpO5hTO3K0MoPnv4IzhdWH8augzsfwotNYfFhKNBC3EMhhDaEdb9DpomaGGrKl4vo0s/TjBoVydSpDy6WLiigRKyhoR6sWxdHZqbpJ1GorV7488+3DV5PnXqGsWNrERRUkSVLrtG/f/F+sEymTIng22+DzJLvFFFT+lHb/nnUvgGYN+8mAB06uJv8d9UoJSWF/fv3s3fvXjp06ACAr68vLVo8GPv89NNPWbp0KVFRUVSoUIFevXrx8ccf4+Liwt69exk2bBgAmsKrVaZNm8b06dP/cmwyQ70Mhw7dpHPnGtSurbtismFDD9q2rcbWreaZjWBM7dqO3LrVnKtXm/Ltt3WoXv3BslqOjlasXl2H8eOjSh10txSNBlau7Mbcucc5f96yV4sULTeWlJRj0d99lIfjadq0MnZ21uzadVO/zcWLKcTEpNOqladZY7Gy0jBwoC/OzjYcPhxP06YVCmN5UFBfvJhGTEwmrVpVLuWb/rznnnPl+PF7rFtXlbi42pw86cfIke6P3N7Dw5oePVxYvDjFLPE8ysKFz7J582V27zZtx/ofYWsLL73kzJIlxmcbOTlpGDbMhaioXG7cMM/g9cPKOr8CAyvSpElFFi++bLYYdHlhK65ebcm33z5F9eq6q8ubNnXFzs6KXbsedNhevJhFTEw2rVqVXLraEg4diuW55/yoUkW37FdwcFXq1HFnxw7zX0n48LGqXNmBoKDK3L17j4MHn+XOnYHs3duNNm1Mv7xVcQsXNmDz5rvs3p1g8H7TpuUKj1e8/r2LFzOIicmiVSvL3t5Bo4EePWpw6VIK27Y9R1zcCI4ced7osvDmVLt2BW7deoOrV1/l229DqV5dmXQL6kk/j6JkPUNtypXTLTVWdKzs7a3RaiEn58EFWtnZ+RQUaGnb1jxl+x9Vrpw9BQVaUlKUqasplTfrynVHlizRXYhmb0/hsXrQCM/O1lJQAG3bWmZJRLWln7LqGU5ONgwbVpuoqDRu3FDmAqQiHh6O9Ojhy+LFJprm8ycokRcuXFibzZsTSwyQ29tbGUk7BYXp2fRLwx46lEfnzjbUrq3rymjY0Jq2bW3YutV4W9jWFkaPdiAlpYDTp82/+syTdm6JB2xtYfQLkJKmm9UOEPg0VPPWdcif3AS3j8CWJfB0HfPEYOx4HTp0l4ED/Shf3g6NBgYO9MPBwZq9e827mppa0s6T1AYsztbWitGjG5CSks3p0/Fl/wcTUEP/ZRGl07L6y4qyz69y5exIS7tvtkGtPxKPJephCxfWL+w/KL1e4+RkzbBhVYmKyuLGjXulbmsplmrj2BdOi8wu1g2o1UJOHrR9RBdGYHVoUg0WHzFdHGrMlxcurFtYTy394pzAQFeaNHFl8eLbpW5nKmqqF+rGBqoXjg0YP890+U6uWfMdNaYfUMf+edS++SdycXHBxcWFDRs2kJNjPG+1srJi/vz5nDt3juXLl/PLL7/w9ttvA9C6dWs+++wz3NzciI2NJTY2lrfeessksckM9TLMnn0INzd7LlwYQ35+AdbWVkyZspfVq89Z5PePHk0nLOwyFy/ew9vbjmnTqrN/fwMCAk6RkZFPeLgfhw6ls3Gjaa/m/LMmTmxOXl4B8+f/XvbGJqTRwGefteHAgVjOnVN+XxiLx8vLiZycfFJTDa80iovLwsvLySxxBAS4c/jwMzg4WJORkUdo6K9ERqbRuHGFwlgeniF+Dy8v89y3pWZNW8aOLc+nnybx0UcJNG/uyPz5nty/r2XFitQS2w8dWo709ALWr7fccu8DBz5NYKA3zZt/bbHfNKZPHyfc3a1YtsxwQH3sWFc+/rg8Li5WXLiQS0hIHLkWuI5Gl55bcOBAHOfOpRjdZsSI2pw/n8Lhw+bpLDh6NI2wsAtcvJhVmBfWYP/+JgQEHMPLy46cnAJSUw0vLoiLu4+XlzL3hHzllX189VUnbt0aTm5uPgUFMGrUL+zfb95Ku7FjVbOm7n5N06c35q23jnPqVBJDhtRi9+6uBARs4MoV059jAwdWITCwHM2b7y/xmZeXQ2H+8/DxysHLy7KVRQ8PJ1xd7Zg0qSlTpx5h4sRDdOvmy/r1z9Kx43p+/dX8jayjR28RFvYTFy8m4O3tyrRpHdi/fxgBAYvIyDD9LNXSqCX9lEapeoba6I5VMw4cuMu5c7oy9MiRBDIz85gzpwnvvHMKjQZmz26CjY0V3t6WWWq0NPb21syZ0441ay6Qnm7ZtF1Eqby5Tx973N01LFumW3XmyJFcMjO1zJnjwjvvZBQeK1dsbDR4e5v/eme1pR9dPEEcOKCboVXc2LFP8fHHLXBxseXChRRCQraSm1vwiG+yjKFDnyI9PZf16y0/QFHE0nnhwIEeBAa60Lx5yWWejxxJIzMznzlzavHOO1GFaadmYXo2fT1s9uxs3Nw0XLhQjvx83QziKVPusXq1Yb7So4ct333ngpMTxMZqCQlJJzHRvIMS6jy31NNGVqseneC7eeDkCLF3IWQIJBZmRTV9dP9Of003ez36Jrw5EvauhjqdIblkM/ZPe1Sba8CAfaxd24GkpEHk5haQlZVHaOgerl41Xx1MLWnnSWsDAvTo4cd33/XAycmW2NhMQkJ+IDEx2yK/rXT/ZRE1pGX1lxXG6z1FKla05913G/PVVxeNfm6peCxVDxs40Luw/+DQI7cZO9aHjz+ui4uLDRcuZBAScozcXPNfbFAWS7ZxLsTplnif1Qv+/Z1uxvnrHaF6efB+xHjjiCDdbPbDJpozpMZ8eeBATwID3Wje/Lcytx0xogrnz2dw+LAJC/BHUEu9MCCgHIcPdy42NnCQyMiSs70rVrTj3Xfr89VXUWaJA9SZftSyf0rbNxkZlrslpVrY2NiwbNkyRo0axRdffEFgYCAdOnTghRdeoGHDhgBMmDBBv32NGjX48MMPGTNmDP/973+xs7OjXLlyaDQavLy8TBubSb/tb2jAgPoMHhzAoEEbOHcunsaNPfnssxBu305nxYqS9zI3tW3bUvTPz5zJ4ujRdGJimjFgQEXi4/Po1KkcTZqcMnscjyMw0IPXXgskMPBbi//2woXtCQioQNu2Gyz+28aoJZ6LF9No3HgL5crZ0b+/D8uXt6JDh51l/0czsLLScPz4PaZM0Q24njqVQ0CAPWPGuBsdUB8+3J1Vq1INZm+ZU7Vqbsyb142QkJXk5ChbUI0Y4crWrfeIjTWMY9WqDHbuvIe3tzVvvVWOdesq06bNHbPvo4ULgwgIKE/btluMfu7gYM2gQTX54IPTZoth27YHHTlnzmQW5oVBDBhQmXv3lO1YN+aVVxoRFORFr16biIlJp337qixc2IHbtzPZvdt8y/0ZO1ZF9xX78stLLFumW/7v1KkkOnf2Zvjw2rzzjmnvgVitmgPz5gUQEnLY4KpbNSq6/9tPP0Xx2WenADh9OoHWrb0YM6aBRQbUt217sGbomTN3OXr0JjExExgw4GmWLLHsoLEa0k9plKxnqM3Chc0JCChH27Y79O8lJOTw/PP7WbSoBa++WpeCAi1r1sRw4kSiWe53/0fY2Fixbl1PNBoYO3Z32f/BTJTKm0eMcGTr1vvExuryxIQELc8/n8qiRa68+qoTBQWwZk02J07kUmCBbFNt6WfhwjaFec+mEp+tWnWFnTtv4e3txFtvNWDdus60abNJ0bra8OH1WbXqomIxWDovrFbNnnnz/AkJOW20XE9IyOX558+xaFEdXn21amF6juPEiXSzpJ0BA+wYPNiOQYMyOXcun8aNrfnsMydu3y5gxYoHHdl79uTSuHEqlSppGDXKgXXrXGjZMo34ePOlZ/WdW+pok6rdnsPQuCdUKg+jXoB1C6BlX4hPfFAPmrkQ1m/TPR/2Ntw8CM8/C1+tMV0cj2pzffBBE9zd7ejceTsJCdn06ePDunXBtGu3hbNnU0wXgEEs6kg7T1obEGDPnhs0bvwtlSo5MmpUA9at60nLlquJjzf/TFql+y+LqCEtq7useHS9B8DV1ZbNm7ty/nwK06efMFscjxOPJephuv6DpwgJOVZq/8GqVbfZuTMBb2973nrLj3XrGtOmzRFF+xws3cbJK4C+i2Hxi5A8B/LyYdcl2HIOo/ffdrCFQU3hg+0lP/uz1JYv6+qpdQgJ+b3MtODgYMWgQV588IFlViRVS73w4sV0GjfeQblytvTvX43ly1vQocMeg0FjV1cbNm9uz/nzaUyfftYscYD60g+oZ/+Utm+WLDHvqkRq1a9fP3r06MH+/fs5cuQIW7du5eOPP+abb74hLCyMXbt2MWvWLC5cuEBaWhp5eXlkZ2eTlZWFk5N5Jq+CDKiXae7czsyefYi1a3VL+p09G4+vbzkmT25t0QppkdTUfC5duoe/vyMNGlhRq5YDKSlBBtv88EM99u9Po2NH82WAxrRrVxUPDyeuXx+lf8/GxopPPunAhAmB+PktNsvvLljQlp49fWnffgO3bim7BGRp8dy5k4W9vTXlytkZzFL39HTizh3T3/MHIDe3gKtXdbOcT55MonnzCrz2Wj3Wro0pjMXWYJa6p6cjd+6Y5+rp2Ng8zp83vFozMjKHfv1cS2zbtq0j9erZM3DgrRKfmUvTpt54erpw8uS/9e/Z2FjRvr0vL7/cAnv7Dy0yIOHjY02XLg707Xu3xGdpaVrS0vK4ciWPI0fukpzsQ2ioE999Z750v2BBS3r2rE779lu5dct4Ou3f3xcnJ2tWrDDRzQQfQ2pqHpcuZeHv78jOncnY21tRrpyNwZWMnp523Llj+VmQDg7WfPRRK0JDt7BlSzQAZ84k0rhxJd56q4nZBm0edaxiY3WdN+fPpxhsHxmZio+Ps8njaNrUHU9Pe06ebK9/T3cuVeTll2vQtevRwvzn4eNlz507ll1SMiHhHrm5+Zw/bzjzJjIymbZtvS0aS5HU1BwuXUrE39+yy9+rJf2URql6htosWNCMnj2r0r79Tm7dMuyc3bnzDv7+G6lY0Z68vAJSU3OJje1LVNSj7w1tbkUdTb6+bnTq9L1is9OVypt9fKzo0sWOvn0NLx7cufM+/v6JVKyoIS8PUlO1xMZWIirKvIO0aks/Cxa0Ksx7fjZaz0hLyyUtLZcrV9IK6z7/IjTUl+++M9/MidK0bVuFevXKM3DgNkV+HyyfFzZt6oqnpx0nTzYr9nsa2rcvx8svV8Xefh87dybj73+UihVtycvTkpqaR2xsa6KiTN+umDvXkdmzs1m7VpeXnD2bj6+vFZMnOxoMkmRlwdWrBVy9CkePZnLpUjlGjLBn9mzztHXUd26pq42sZln34GqM7nH0FFz6BUYMgNmLdDPWAc4Xa+bcvw9RN8DHhLelflQ9rGZNV1555SmefnqDvi4WEZFMu3aejB//FGPHHjZdEPpY1Jt21NwGLJKVlcfVqylcvZrC0aOxXLo0jBEjApg9+5jZf1sN/ZdqScvqLStKr/e4uNiybVs30tNzCQ3dRV6eefug1FAPa9rUrbD/oLX+PV3/QQVeftkHe/vtFBRAWlpeYX9YFkeOpJCc3IXQUE+++y7WZLH8EUq1cU7egCYfg5sD2NlAQgYceQOOG2nK9G8MTnawwozZj9L58oP08+C+yrr0487LL1fD3v4X/QXL/ft7FPZdmj/NqKleaDg2kFw4NlCHMWOOA+DiYsO2bR0K850DZs93ilM6/YB690/xffNP5uDgQEhICCEhIbz77ruMHDmSadOmERwcTM+ePRk7diwzZ86kQoUKHDhwgBEjRnD//n0ZUFeSk5NNiUG0/HytflabpTk76wbRV66MZ926BL75Js7g87Nnm/D669fYtMnyy3KtXBnJrl2G96Dcvr0fK1eeZ+lS8ywxtWBBW0JD/QgO3kh0tGWXnf2j8Zw4Ec/9+/l07lyN9et1lc86ddzx9XXl8OE4Y19nclZWGuztrThxIqkwFi/Wr79RGIsrvr7OZluy++DBLOrWNVyipU4dO2JiSq5ZPmKEO8eP3yMiwnKDa7t3XyMg4L8G7y1d2psLFxKYM+egxWb3DRvmyt27+WzeXPoV7BqN7mFvb768aMGCloSG+hAcvI3oaOP3cwcYMaIOGzfeICHBcsfL2dmaWrUcWblSNwPq/v0COnd2Z/163f2669RxxNfXgcOHSy7TY262tlbY2VlbtOwo7VhFR2dw61Ymdesa3se0Th03tm41/UUru3fHExCw1+C9pUsbc+FCBnPmXOHGjXuFx6sy69fHFsbijK+vE4cPW7bsys0t4Nixu9StW97g/Tp13ImJUaZMcXa2pVatCqxcGWGx31RT+imNEvUMtVmwoBmhodUJDt5FdPSjO7kTE3X5cceOnnh4OLBx401LhWigqKOpdm13Onb8nqQkyyx5aowSeTPAsGGO3L1bwObNxsvIomVFO3a0xcPDio0bzVeWqi39LFjQitDQGgQHby61nlFEV/fRYG9vbZZ4HseIEfU5fjyOiIgExWKwdF64e3cyAQGGPbFLl9blwoUs5sy5YbCqQmKirl7fsaM7Hh62bNxo+v3k5KQpsZJDfv6DmcSPYmVlvnqz+s4tdbWRnzRWGrAvbLaeOAvZOVC3JhzU9atiYwM1qkGMiapBpdXDnJx0+Z3xsss0v28Yi7rTjprbgI+i64OxTNer0v2XakrL6iwrSq/3uLrasn17N3JyCnjuuR1mXwlHLfWw3bsTCQgwvFXc0qUNuHAhkzlzooyu3qTRaApjMf+tkoxRQxsnrfAn/StDMx9418iCkiOCYONZ3aC7uSidL+/enURAgOEFOUuX1i+sp0YbpJ8RI6qycWM8CQnmvXem2uqFDysaGwDdzOvt2zsU5jsHLL7ig9Lpxxi17J/i+0Y8UL9+fTZs2MCJEycoKCjgk08+waqwcF+3bp3BtnZ2duTnm74slQH1MmzadJkpU9pw/Xoa587F06SJF2+80YIlS8y3tHFxc+fWYNOmJGJicqhSxY4ZM3zIz4c1a+JJSMgjLq5kIXD9eg7R0ebpjHN2tsXf313/2s+vHI0aVSYpKZsbN9JLVCJyc/O5cyeTS5eM3xfor1i4sB2DBtWmd++tpKffx9NTd8VOaup9srN1J4unpyNeXk74++sGAho0qEh6+n2uX88gOdm0+6iseNLS7rN48QU+/bQ1SUnZpKXdZ8GCdhw6dIejR02fOX70UWO2br3N9euZuLraMmhQDYKDPena9RfS0nJZvPgqn37alKSk+6Sl5bJgQTMOHYrn6NFEk8cCEB6exKFDNZg8uSLr1qXRooUjo0eXZ/RowysDXV2teP55N95807IFRkbGfc6dM7yYIDMzl8TEeyXeNxeNBoYNc2H58kyK5/d+fjYMHOjMjh33iI/Pp1o1GyZNKse9e1q2bDHP6gYLFwYxaFBNevfeTXp6ntHzC6BWLVfat/fk2Wd3mSWOInPn1mLTpoRieWEN8vO1rFlzl7S0fBYvjuXTT/1JStJdtbxgQW0OHUrl6FHzVLp0eeGDAUY/PzcaNapUmBdmsHfvTebObcO9e3nExKTToUMVhgypxxtvlLyn+F/1OMdq7txzzJjRmNOnkzh1KomhQ/2pV68c/fvvNXk8GRn5nDtn2AGXmZlHYuJ9/fuLF1/n00/rF+Y/eSxYEMChQ0kcPZpi8njKOlZz555k7dpu/PrrbfbsuUm3br706uVHcPB6k8dizNy5IWzadImYmBSqVHFlxoxg8vMLWLPGMqvMqC39qKmeoTYLFzZn0KAa9O69j/T0XDw9HQBITc3VH6uwsJpERqYSH59Dq1aVmDevGeHhF7h0yTyd4qUdr9jYTP73v54EBnrSs+ePWFtr8PTUXSWclJRtlvsvqilvhqJy3ZHly7N5uB0XFuZAZGQ+8fEFtGply7x5roSHZ3Hpknk6T9WWfhYubM2gQbXo3XtnYTyGeY+fnysDB9Zkx46bxMdnU62aM5MmNeLevTy2bDH9agJlpR3QdXQ//7w/b755wOS/bzwe92LxKJcX6sp1w87AzMwCEhPz9O+HhXkRGZlFfPx9WrUqx7x5/oSH3+TSJdMvcbxpUy5Tpjhy/XoB587l06SJNW+84cCSJbq2nZMTTJniyMaN94mN1VKpkobx4x2oWtWK7783/ewW9Z1b6mojK83ZCfx9H7z2qw6NnoKkVN190qeMh427dDPRK1WA8f+Cql7wfeHARHoGfLEaZrwGN27rBtH/M1r32ffG74b1h5RVD7twIZXLl9P48stWvPXWcRITc+jTx4eQkCr07Gna9pca044624Du+tfF8+bExHtMmdKSjRujiI3NoFIlR8aPb0zVqi58//0ls8TzMCX7L9WUlkGNZUXp9R5XV1t27OiOk5MNL720Ezc3O9wK74kdH59t8gkeaqqH6eoZhiO+mZn5JCbmcu5cBn5+jgwc6M2OHQnEx9+nWjUHJk2qyb17+WzZYp6+OiXbOM52ukFy/W9XhEZVISkLbiTrZp3HZ8D1ZGhQBeb1hQ0RsPOC4ffUqgTta8GzX/6lcEpQW7786HpqrsH7tWo50r69O88+e8oscRRRW73wo48asHXrnWJjAz4EB3vQtes+XF1t2LEjGCcna1566QBubra4udkCEB+fY5aJZWpLP2raP6XtG9DN1PfystPPWG/QwJn09HyuX88mOTmvtK9+IiUmJvL8888zfPhwGjZsiKurK8ePH+fjjz+md+/e+Pv7k5uby4IFC+jVqxcHDx7kiy++MPiOGjVqkJGRwe7du2nUqBFOTk4mmbkuA+pleOWVHXzwQQf++99ueHg4cft2Bl9++Tvvv2+ejreHVatmx5o1dalY0Yb4+FwOHEgjKCiChARlTpRmzTzZu3eA/nV4eDAAy5adY9gwE96U5TGMGxcAwL59fQzeDwv7heXLLwIwZszTTJ/eXP/Z/v19SmxjyXhef1030/mHH7pib2/N9u03GDfuV5PGUcTDw54VK1rh7e1IamouERHJdO36C7t23SmM5QQFBfDDD+0KY7nNuHHmWwfo+PFsQkNvMmtWZd57rxLXruUyYUIcq1cbFoovvOCGRgNr1qjnqnJL6dLFAV9fG5YsMaxEZWdradfOngkT3Chf3oq4uHx+/TWb1q1jiY83z9Vx48bVA2Dfvu4G74eFHWD58gdrHg4fXpubNzPZscO8M1WrVbNnzZr6VKxoW5gXphIUdFJ/Zenrr18tTM9PY29vxfbtSYwbd9ls8TRr5sHevX31r8PD2wGwbFkkw4bt4oUXtjNrVitWrXqGChUciIlJZ8qUw3zxhekHSR/nWM2bdx4HB2vCw1tQoYIdp08nExKyg6goZWaevP76ucK8sFnh8Ypn3DjzLENY1rHasCGKMWP2MHlyM+bPb8/Fi8n067eFgwcts3RctWpurFnTj4oVHYmPz+LAgesEBS0mIcE8F8s8TG3pR031DLUZN64OAPv2hRi8HxZ2mOXLdSvf1K3rxqxZjalQwY7o6ExmzjxLePiFEt9lKqUdr+nTD9O7tz8Ap08PMfh/wcHr2LfP9FfgqylvBujSxQ5fX2uWLCk5qFi3rg2zZrlQoYIV0dH5zJyZSXi4+c57taWfcePqF8bT86F49rF8+WWys/Np186LCRMCKF/ejri4e/z66x1at95EfLzpZwGVlXYAXnihTmEd1fwDI09aXli3rhOzZtWkQgUboqOzmTkzhvBw88yyeeWVTD74wIn//tcJDw8rbt8u4Msvc3j/fd15lp8P9epZM3SoK5UqaUhM1HLsWB7t2qVx/rzpL1hR37mlrjay0po1gL3F7nMePlX377L/wZipUK8WDO2ru396Ygoci4B2A+F8sWbEf2ZBXh6s/BQc7eHoaeg0GFJM0Fwtqx6Wl6fl2Wd3Mnt2UzZt6oyLiw1XrqQzdOh+k68UpMa0o7424KPz5jFjdlGvXgWGDn2aSpUcSEzM5tixO7Rrt5bz580zaeFhSvZfqiktgxrLitLrPYGBlQgK8gDg6tWBBtvUqPEdMTGmnWKstnpYabKzC2jXrjwTJtSgfHlb4uJy+PXXZFq3PkJ8vHmWgVayjdPMB/a++uB1eGH1dNlRGLYKvN3g01DwdIXYNFjxm/F7pA8PgpspsMPE1Q215cuPa/jwKty8mcOOHebNj9VWL/TwcGDFipZ4ezsUjg2k0LXrPnbtiqNDh8oEBVUE4OpVw7ygRo1NxMSYvm2qtvSjpv1T1r4ZM6YK06fX0G+/f38TAMLCLrB8+d/vHusuLi60bNmS8PBwrl69Sm5uLtWrV2fUqFG88847ODo68umnnzJnzhwmT55M+/btmTVrFkOGPMiXW7duzZgxYxg4cCCJiYlMmzaN6dOn/+XYNFqt1nI3RlBIbGwsX331FaNHj6ZKlSWKxqLVTtE/12gOKhiJjlbbRv9co/lUwUh0tNo39M81mkUKRqITEdGW9evX07dvXxo2NP9slLJotWP1zzWaVQpGoqPVDtY/12giFYxER6t9Sv9co5mhYCQ6ERF9i6WfkveKtySttob+uUazTLE4imi1YfrnGs1exeIootUG659rNAuUC6SQVvuK/rkajldERNNiaTla6XDQanvpn6vveCmf92i10/TPlU4/hmlnp6KxgGE9IyvLMhctlKb41bHqK9eVrxdGRIQUSz97lQ7noXNd+aXXtFpP/XP1pZ9vFIwEtNqR+udqKCciIoJVmxeqrx5m+VuXPUyrraB/roZzKyKioWrbpKorS2sqGAigLXZbYaXrYPBwm0tt/SuWGWQujWHeo3y9xzBvnqlgJDqG/ZfLlAukkGG7oqrS4TxUVihb74GH6z5qqodtVTASnYiIauqth71ayoYWop3/4Ln66oXmXQ3zcWi1XfTP1VcvPK90OGi1Dy4CUjr9GKadtcoFUkhN+wbg9u26+jFSb29vpcN5YilzsxEhhBBCCCGEEEIIIYQQQgghhBBC5WRAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RAXQghhBBCCCGEEEIIIYQQQgghhDDCRukALE2rnaJ0CHpabRulQzCg1b6hdAgGtNqxSofAmTNn9M/VEE9xWu1gpUMwoNU+pXQIBrTaaUqH8FD6qaFcIA/RasOUDsGAVhusdAgGtNpXlA7BgBqOl2Fa7qVgJCWp73gpn/cUp3T6MUw76qpnODk5KR2CAfWV68ofL8P0o7Zz3VPpEAyoL/2MVDoEPTWkHTXnheqrh1VQOgQDaji31NwmVV1ZGqV0BA8oXQcrcuPGDVJSUoiIaKt0KFy/fl3/XH15j9ryZvX0XYI60rNhXqi2skI99R5QVzxabXelQ1B3PWy+0hEYUl/e3EXpEIDiZWlDpUN5qCwdqGAkJakp/ci+KSk2NlbpEP4W/nED6kIIIYQQQgghhBBC/J3duHGDJUuWKB1GCe7u7kqHIIQQQjwWKUuFEMXJgLoQQgghhBBCCCGEEH8jKSkpADRr1gwfHx9lgynk7u5O9erVlQ5DCCGEeCxSlgohivvHDahrNGsV/f3iy01oNDMUjESn+NK0Gs2nCkaiU3zpHY3mYwUj0YmIeLA0kfr2zwIFI9EpvoSmRrNKwUh0ii/JmJWVpWAkJSm9f4rvGzWcW1rt2/rnSu8beHj/qO3cilAwEp2ICI3+uUZzUsFIdLTaQP1zjWamgpHoFF+SUX1l+y4FI4GIiAfLYitdBwPDepgayoniS+VqNKVsaCFa7YPnSqcdeDj9qK0epmAghQyP1zLF4ihSfDlYpfNmw3x5kYKR6BRfall9aVlt9cKbCkaio9VW0z9Xw7kVEdFU/1xt6Ud9ZWmkgpEY3gZNo/lGwUh0IiJaAuDj40PDhhsVjubhvHmZcoEUMiy3likWRxHDeJQvu4rfYkINZYVh/1ySgpHoFF92Xn19CJcVjAS02tr652poA0ZE1Nc/V9+xUn7/GI5VKH+uG9YLla/3RESEAEVl6U6Fo3m4Hq+2/ic1tQGVTzuGx0rZfBng9m0XpUP4W7BSOgAhhBBCCCGEEEIIIYQQQgghhBBCjWRAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RAXQghhBBCCCGEEEIIIYQQQgghhDBCBtSFEEIIIYQQQgghhBBCCCGEEEIII2RA/SFjxtTi9OmupKb2JTW1L4cOdaZbNy+j227Z0h6tdiC9e1e1WHyTJrXlt99GkpY2ibi4t/jxx4HUqVPRYr/frl1VNm7sza1bo9Fq36B371r6z2xsrJg9ux0REUPIyHiFW7dGs3x5N7y9nS0WH4CLix3h4Z2Ijv43WVmvc/DgYJo1M34MTa20/fOwRYs6o9W+wWuvNTFjPFXYuLEnt24NQ6t9hd69axp8rtW+YvTx1lumj2nSpKf57bdupKUNIC6uHz/+2J46dVwNtqlZ04X169tz924/UlMHsHZtWzw8HEweixo9CftHqXNLjfumrHMLoF698vz0Uw9SUkaTkTGG334bQPXqLmaJp0oVG1aurE5CQn2ysgKIiKhN06aO+s+nTfMkMrIOGRkBJCXVZ+dOP1q0cCzlG/+8adO80WoDDR6RkfX1n9esacf69TW5e7cBqamNWLvWDw8PG7PE8ijXro1Hq51S4vH5510tGgfAtGkd0GqnGTwiI8dbPA6AiRN90Wq7EB5eR//enj1N0Wq7GDwWLapnthjKqoft2dMRrXagwWPRoqZmi0dp7drBxo1w6xZotdC7d8ltZsyA27chKwt27gR//wefdeig+3/GHs2amTZWY+kHICioHLt3B5KR0ZHU1GD27WuKg4N5miBl1cOmTWtFZGQYGRmvkJQ0jp07+9GihWnKMbUfq0mTGvDbbz1JSxtMXNxAfvyxE3XquJXYLiioMrt3dyUjYzCpqYPYt68bDg7Wfz2AMlhZaXj//Q5ERY0nK+ttrlwZx9Spbc3+u0UmTWrCb7/1Iy1tBHFxYfz4Yzfq1HE32Mbe3prPP29HQsIw0tNH8r//dcXDwzxlqfraFNXYuLEvt26NQ6t9m969/UtsM2NGW27fHkdW1uvs3DkAf//yZonl2jUvtNpqJR6ff+6Or6+10c+02mr072+eY6XGc+tJaLMrSVdvrkJCQm2ysuoSEeFH06aG7YZ69ez46adqpKTUISOjLr/9VoPq1U1fX500qRG//dabtLQhxMUN5scfu1CnTrlHbr9lS1e02pH07u1r8lgepUoVV1aufI6EhNfJynqbiIhRNG3qbfbffZxzy9PTkRUr2hEbO5CMjMGcONGLvn3Ns2/KisfX1wWtNszoo39/88TUrp03Gzd259atIWi1Y+ndu4bB5x4ejixd2pFbt4aQmTmSrVt74O//6PT11+NRT1lhZQXvv+9IVFQ5srLKc+VKOaZOfXT/wKJFTmi1FXjtNXuzxFNW/4Gzsy0LFnTgxo1hZGWN5dy5wfz73wFmiaVIlSrWrFzpSUJCTbKyahER4UPTpg/+fg8Pa5Yu9eTWLT8yM2uxdWsV/P1tzRJLWW3AL75oxpUrPcjK6sfdu73ZsKEtdeu6lvKNf42a+ntK2zfly9sxf34gFy50JyurHzExPZk3rwlubuY5TkXKOtdDQ2uzffvzJCS8glb7No0aeZg5HvXUm9VeB1NT/xMo3wZUU9oBdeXLahAfH8/YsWPx8fHB3t4eLy8vunbtysGDBxWNSwbUH3Lz5j0mTYqgadMdNGu2g19+uctPP7Wlfn3DivuECXXQarUWj69DB18WLjxGUNBiQkJWYmtrxY4dL+HkZJmTx9nZltOn4xk//pcSnzk52RAY6MEHHxwhMPBb+vbdRN265dm40UiPohl98003QkJq8K9/baZBg6Xs2BHNrl0DqVLFPANZxZW2f4rr08efoCBvbt3KsEA8CYwfv8/o515eiw0ew4btoqBAyw8/XDV5LB06eLBw4SWCgrYTErK7MO12xslJ15Hk5GTNjh2d0Gq1dOq0mzZtdmBnZ8WmTR3QaEwejuo8CftHqXNLjfumrHOrZk03Dhzox4ULyQQHr6dhw9V88MExsrPzTR6Lu7s1Bw/6k5urpXv3a9Svf5E334wlOfnBb126lMPLL9+mQYNLtG17lejoXHbsqEmlSubpyD179h5eXhH6R9u2FwFwcrJix47aaLXQqdNl2rS5iJ2dhk2baln0PG/efCleXp/pH126rALg++8jLRdEMWfP3sXL6//0j7Ztl1g8hmbN3Pj3v6tx+nR6ic+++uomXl6/6h9vv33ZbHE8Tj3sq6+u4uX1k/7x9tunzRaP0pyd4fRpGP+INu7bb8Orr8KYMdCyJWRmwvbtYF/Y5jp0CLy8DB9ffw1RUXD8uOnifFT6CQoqx7ZtTdixI5EWLX6jefPf+PzzGxQUmKcOXVY97NKlZF5++RcaNFhB27ZriY5OY8eOflSq9NcH2tR+rDp08GLhwgsEBW0mJGQHtrYadux4BienBwNEQUGV2bYthB07btOixWaaN/+Zzz+/YLbjVdzEia0YOzaQl1/ezlNPfcnEib/w9ttBvPKKia/8eIQOHaqwcOFZgoLWExKyqbCu0dNg/4SHt6FXL1+ef34HHTpsoEoVJ9avN8+FWOpsU9xl/PidRj9/++0WvPpqIGPG7KBly2/JzMxl+/bnsbc3fT2jefO7eHnd1j+6dIkH4Pvv73HjRr7BZ15et3nvvVTS0wvYujXb5LGAOs+tJ6HNrhR3dysOHvQtrDffoH79KN58865BvblmTVsOHPDlwoX7BAfH0LBhFB98kEB2tumPly79nCcoaCMhIVsL855uBumnyIQJAVi6C8rd3YGDB4eQm1tA9+5rqV//S958cxfJyffM/tuPc26tWNGWunXdeO653TRo8BPr18ewbl0HGjeuYPF4btzIxMtrrcHjvfd+Jz09l61bb5k8Hig61xMZP36/0c83bOhGzZpu9O69lSZN/kdMTDq7dvUymr5MF486yoqJEx0YO9ael1/O4qmnUpk4MYu333bklVdKDpj36WNLUJANt24VmDyOImX1H3z6aVu6dfPhpZd28NRT3/LZZ6f4/PMO9OrlZ5Z4dHlhdXJzoXv3W9SvH8ObbyaQnPxgH2zY4E3Nmrb07n2bJk2uExOTx65dVXFyMn3Dvaw24IkTSQwb9htPPbWVrl1/RaOBHTs6YGVlnk4ENfX3lLZvqlRxpEoVB9566zQBAdsIC/uNbt28Wby4ucnjKK6sc93Z2ZYDB24xcaLx/WeeeNRRb34S6mBq6H8qonQbUE1pR235shr069eP33//neXLl3Pp0iU2btxIcHAwiYmJisZl2SlhT4Cff75t8Hrq1DOMHVuLoKCKnD+fBkCjRu68+WZdmjXbyZ07ls30undfZfA6LOwn4uP/Q9Om3uzff93sv79tWzTbtkUb/Swt7T7PPPODwXsvv/wLx44Npnp1V27cKNlJb2oODjb061eH3r3Xs3//TQBmzDhIr161GDu2Me++e8Csv1/a/ilSpYoLCxZ0pGvX9Wze3MfM8cSwbVvMIz+Pi8syeN27d0327LnJtWtpJo+le/c9Bq/Dwg4TH9+fpk0rsn//Xdq0qUyNGs40abKF9PQ8AIYOPUxy8vN06uTF7t13TB6Tmqh9/yh5bqlx35R1bs2c2YotW2KYOPGQ/r2oKNOfVwATJ1bmxo1chg+/qX8vOjrXYJs1a1IMXr/xxm1GjqxAw4aO/PKL6SuEeXla4uLySrzfpo0zNWrY0aRJJOnpukrh0KHRJCc3olMnV3bvNn85AZCQYJj3TZrUmitXkti3z/zlqDF5eQXExWUq8tsAzs7WrFr1NKNGRTJ1aslOm6ysAuLi7lsklseph2Vl5RMXZ56BEbXZtk33eJQJE+DDD3UzowGGDIG4OOjTB9auhdxc3esiNja6mdMLFpguxtLST3h4HebPv86cOQ/yy0uXsh7+CpMpqx62Zs0Fg9dvvLGPkSMb0LBhJX755cZf/G11H6vu3Q07vMLCDhAf/2JhWar74fDwFsyfH8mcOWf02126ZJ6y62GtW1fjp58usWXLFQBiYlJ58cWnadGiikV+v3v3zQavw8J+IT5+GE2bVmb//ljc3OwYMaIegwbtYs8e3cDIsGF7uHDhRVq29OTo0ThjX/unqa9NcY1t26498vMJE5rx4YeH2bhRd/yGDNlMXNzL9OlTm7VrLzzy//0ZCQmGAx6TJjlw5Uoe+/blABAXZ/h5aKgj69bdIzPTPCORajy31N5mV9LEiRW5cSOP4cNj9e89XG+eObMyW7ZkMnHiXf17UVGG25hK9+7bDV6Hhf1KfPxLNG1aif37H7RhGjWqwJtvNqBZsw3cuTPYLLEYM3FiK27cSGP48J/170VHp1rktx/n3Grd2oOxYw9z7FgCADNnRvD66/Vp2rQip04lWTSeggItcXGGFxqEhvqwbt01MjNLtotMYdu262zbZrz9Urt2OVq18uLpp7/j/PlkAMaO/ZU7d8J48cXaLF5s+guJ1VRWtG5tw08/5bJli+7cjYkp4MUXc2nRwgbI0W9XpYqGBQuc6do1nc2bzTdRoKz+g9atvVm+/AL79unqGF9/fY5//zuAFi082bTp0fv0z5o4sXxhXvig/hId/SCd1q5tS6tWjjz9dAznz+vagWPH3uXOHT9efNGVxYtNW4aV1Qb8+uso/WcxMVlMnXqGiIhu1KjhRFSU6dvRaurvKW3fLFlyjf79i8eQyZQpEXz7bRDW1hry881T9ynrXP/22/MA+PqWXLHHPPGop978JNTBlO5/Kk7pNqCa0o7a8mWlpaSksH//fvbu3UuHDh0A8PX1pUWLFgBER0fj5+fH77//TuPGjfX/p3z58uzZs4fg4GD27t1Lx44d2bVrFxMnTuT8+fM0btyYpUuXUrdu3T8dm8xQL4WVlYaBA6vj7GzD4cO6Kx8cHa1ZvTqI8eNPqKIzt1w53dWVSUnmv0L4zyhXzp6CAi0pKTllb2wCNjZW2NhYkZ1t2GC5dy+Ptm2rWSSG0mg0sHJlN+bOPc7588peTfMwDw9HevTwZfHi8xb5vXLldKsqJCXp0oa9vTVaLeTkPOgEy87Op6BAS9u2lS0Sk5qobf+o6dxS2755mEYDPXrU4NKlFLZte464uBEcOfK80WXCTOG559w4fjyLdet8iIurz8mTtRk58tGzMmxtNYweXYGUlHxOnzZP2VG7tj23bgVw9erTfPttDapX1x0ze3urwmP1oGGXna2loADatjX/KiLG2Npa8dJLASxZotws59q1K3Dr1htcvfoq334bSvXqlml4Flm4sC6bNyeye7fxjsfBg72Ij2/PmTNBfPRRLRwdLVN9NFYP08XjQ3x8H86c6cZHHzXA0dH8y1GrkZ8feHvDrl0P3ktLg6NHoVUr4//nueegYkVYutR0cTwq/VSubEtQUDnu3s3l4MFm3LnTjr17m9KmjfmWGv0jbG2tGD26ASkp2Zw+HW/W31LLsSquXDk74EFZWrmyA0FBlbl79x4HDz7LnTsD2bu3G23amHeJxiKHDt2kc+ca1K6tK78aNvSgbdtqbN1q+lWTHsfD+6dp08rY2Vmza9eDi9cuXkwhJiadVq08LR6fmtoUfn7l8PZ2YdeuBx3PaWn3OXo0llatzNsZZmsLL73kxJIlxjsFAwNtadLEjsWLLddpqLZz63FYus2upOeec+X48XusW1eVuLjanDzpx8iR7vrPdfV4Fy5dus+2bdWJi6vNkSM16N3bMvXUh9MPFPVBdWT8+IMlBmzN7bnnanP8eCzr1vUlLm4CJ0+OYOTIxhaNoYixfXPo0F0GDvSjfHk7NBoYONAPBwdr9u41/8X4xuIpLjCwIk2aVGTxYvOt7FSaolnfxWfM6tph+bRta5lbIhZn6bLi0KE8One2oXZtXbulYUNr2ra1YevWBxfH6MpSF+bOvcf586afWfxHHDoUy3PP+VGlim7p5+DgqtSp486OHea54Pu555w5fjybdeu8iIvz4+TJ6owc+aANam+vm+1YfGWOonZ827bmuYVKkUe1AYs4OVkzbJgfUVEZ3Lhh+b5wS/f3FFfWvgFd3pSWlmu2wfQnkZrqzQ9Tog6mdP9TcWprAz7MkmlHzfmyElxcXHBxcWHDhg3k5Py182PKlCl88sknHD9+HBsbG4YPH/6Xvk8G1I0ICChHenpfcnL688UXzQgNPUhkpO4qj/DwJhw6lMjGjbfL+Bbz02jgs8+6ceDAdc6dM29H4J9hb2/NnDntWLPmAunplpnZlpFxn0OHbvHuu63x9nbBykrD4MH1adWqCt7eygzWFDdxYnPy8gqYP/93pUMpYejQp0hPz2X9evMXWrq024wDB+5y7pzuCvcjRxLIzMxjzpwmODpa4+Rkzf/9XyA2NlZ4e//9CobSqHH/qOXcUuO+eZiHhxOurnZMmtSUbduu88wzP/Hjj1GsX/8s7dubvrOgZk07xo6tyOXL9+naNYpFixKZP78KQ4YY3o+uRw9X0tOfJjs7gNdfr0xISBSJiabvODh6NJOwsBi6dbvK2LHX8fOzY//+Ori4WHHkSCaZmQXMmVMVR0cNTk5W/N//VcXGRoO3tzKL5vTpUxd3dweWLYtQ5PePHr1FWNhPdOv2LWPHbsbPrzz79w/DxcXOIr8/cKAngYFuTJ58xejnq1ff4aWXztKx4wlmzYrmX//y5ttvzXs/v9LqYatXx/DSS0fp2HEPs2ZF8q9/1eDbb4PMGo9aeRX2hcY9NDE2Lu7BZw8bMUK3zPgtE608Wlr6qVlTl/9On+7H11/folu3U5w8mc7u3U3x91euXO/Rw4/09JfJzn6N119vSkjIDyQmmvciWTUcq+J0ZWkLDhyI49y5FABq1tTdh3L69MZ8/fUlunXbycmTieze3RV/f/Pdo7LI7NmH+O6781y4MIb79yfx++8j+eyzY6xefc7sv/0w3f5pw4EDsZw7p7tQxMvLiZycfFJTDds0cXFZeHk5WTxGNbUpvLx0nf8Pz3SJi8vEy8u8dcQ+fRxxd7di2TLjA+YjRjhz/nwuhw9bpi2qxnOrLEq02ZVUs6YtY8eWL6w3X2fRomTmz/dkyBDdxV4eHta4ulozaVJFtm3L5JlnrvPjj+msX1+N9u3Ne67r0k8QBw7c4dy5ZP374eFBHDp0l40bLb+SUs2a5Rk7timXLyfRtesaFi06yfz5zzBkSAOLxmHs3AIYMGAftrZWJCUNIidnCF9+2YrQ0D1cvWreWX6Piqe4ESNqc/58CocPK9NXd+GC7qKvWbNa4u5uh62tFW+/3Zjq1V3w9rZ8uWXpsmL27Gy+++4+Fy6U4/798vz+uxuffZbN6tUP8rmJEx3Iy4P585W/mOiVV/Zx/nwSt24N5/79cWzb1pvx4/exf795+p51eWE5Ll/OpWvX2yxalMr8+ZUZMkRXLl24cJ+YmFxmzaqIu7sVtrbw9tvlqV7dFm9v81zMXFobEGDsWH/S0/uSmdmf7t29CQnZS26u+ZbpfxRL9/dA2fumSMWKdrz7bn2++irKyLf8c6mp3lycEnUwpfufHqamNqAxlkw7asyXlWRjY8OyZctYvnw57u7utGnThnfeeYeIiD/edztz5kw6dOhA/fr1mTRpEocOHSI7+8/3AcmS70ZcvJhO48Y7KFfOlv79q7F8eQs6dNiDv78LnTp50KTJDqVDBGDhwh4EBHgoeq+LR7GxsWLdup5oNDB27G6L/va//rWZJUu6c/v2OPLyCjh5Mo41ayJp2tTyV+EWFxjowWuvBRIY+K2icTzK8OH1WbXqIjk55r8yd+HC5gQElKNt2wfnUkJCDs8/v59Fi1rw6qt1KSjQsmZNDCdOJFrk3p1qotb9o4ZzS637prii+3j99FMUn312CoDTpxNo3dqLMWMa8Ouvpm0UW1nB8eP3mDJFNxPj1KlsAgIcGDOmAitWPOiM27Mng8aNL1Opkg2jRlVg3TpfWra8THy8ac/5bdseNOzOnIGjR7OIiQlgwIDyLFmSyPPPR7FokQ+vvlqZggJYsyaJEyeyKLB8WxiAESMasXXrVWJjzXv/2UfZtu3BQOSZM3c5evQmMTETGDDgaZYsMW+lvVo1e+bNq0NIyO8GKzwU9/XXD0bzzp7NJDY2h19+aUrNmo5ERZlnRsCj6mGRkYbL/Z09m0ps7D1++aUjNWs6m2W5v7+TqlWha1cYMMA031dW+inKC7/88hbLlumW1j11Kp3OncszfHgV3nlHmavO9+y5QePG31KpkiOjRjVg3bqetGy5mvh49az2ZOpj9bCFC4MICChP27Zb9O9ZFV5m/eWXl1i2TJcvnTqVROfO3gwfXpt33jlpnmAKDRhQn8GDAxg0aAPnzsXTuLEnn30Wwu3b6axYcabsLzChhQvbExBQgbZtN1j0dx+X2tsUljRihDNbt2YTG1syD3JwgEGDnPjgA8stf6jGc6s0SrbZlWJlpSmsN+sGOU+dyiEgwJ4xY9xZsSK1WD0+nc8+011Qc/p0Dq1bOzJmjDu//mq+25YsXNimMP1s0r/Xq5cPnTpVoUmTH832u6XR7a9YpkzZC8CpU3EEBFRmzJhAi+bNxs4tgA8+aIK7ux2dO28nISGbPn18WLcumHbttnD2bIrF4yni4GDNoEE1+eAD5VbAyssroG/fbSxe3JHk5BHk5RWwa9dNtmyJQaP5e95rtbgBA+wYPNiOQYMyOXcun8aNrfnsMydu3y5gxYr7BAZa89prDgQGWuYWBmV55ZVGBAV50avXJmJi0mnfvioLF3bg9u1Mdu/+a7clMkZ3bmczZYpuxuWDvLAcK1akk5cHffvGsnixJ8nJtcjL07JrVxZbtmRiruRTWhsQYNWqGHbuvIO3tyNvvVWXdeta06bN7ke2Y83F0v09UPa+AXB1tWHz5vacP5/G9OlnTR7Dk0qt9Wal6mBK9j8Zo6Y24MMsnXbUmC8rrV+/fvTo0YP9+/dz5MgRtm7dyscff8w333xDcHDwY39Pw4YN9c+9vb0BuHv3Lj4+Pn8qLhlQNyI3t4CrV3Ud6ydPJtO8eQVee60O9+7lU6uWCykpoQbb//BDa/bvT6Bjxz3Gvs4sFizoTs+etWnffhm3bqnrPmdFhYKvrxudOn1v8Svdo6JSCA5eg5OTLW5udty5k8l33z1HVFSKReN4WLt2VfHwcOL69VH692xsrPjkkw5MmBCIn99ixWJr27YK9eqVZ+DAUm7+aSILFjSjZ8+qtG+/k1u3DDuvd+68g7//RipWtCcvr4DU1FxiY/sSFfXoexf93ah5/yh9bql53xSXkHCP3Nx8zp83XP44MjKZtm29Tf57sbF5nD9veFV9ZGQ2/foZLquclaXl6tX7XL16n6NHs7h0qS4jRlRg9mzzzppITc3n0qVs/P11tyjZuTMdf/9zVKxoTV6e7vPY2AZERVl+ZoCPjxtduvjRt+8PZW9sIampOVy6lIi//6OX7TeVpk3d8PS05+TJFvr3bGysaN/enZdfroa9/S8lLnQ4elTX6eTvb74B9UfVw8aMOV5i26NHEwvjcf3HDajfKVzN1NPzwfOi16dOldx+2DBITHxwD++/qqz0U7fuYQDOnzc8LpGRmfj4OJgmiD8hKyuPq1dTuHo1haNHY7l0aRgjRgQwe/Yxs/2m0sequAULWtKzZ3Xat9/KrVsPBoZiY3Xn8/nzKQbbR0am4uPjbPpAHjJ3bmdmzz7E2rW6Ww+dPRuPr285Jk9ubdHOlAUL2tKzpy/t22/g1q0HaffOnSzs7a0pV87OYJa6p6cTd+6Yb4DNGLW1Ke7c0e0nT09n/fOi16dOmfbe8sX5+FjTpYs9ffsaX36xf38nnJw0rFhhmeOj1nPrUZRusytFV282/FsjI3Po1083+ychIY/cXK2RunUObduab1bvggWtCtPPzwbpp1OnKtSq5UZKyhCD7X/4oTP798fRseNms8UEEBubwfnzCQbvRUYm0K9fPbP+bnGPOrdq1nTllVee4umnN+jPr4iIZNq182T8+KcYO/awReMprn9/X5ycrFmxwvgKUJZy8mQCTZp8j5ubHXZ2ViQkZHPkSF+OH7f8rHlLlxVz5zoye3Y2a9fqzvezZ/Px9bVi8mRHVqy4T7t2Nnh4aLh+3V3/f2xsNHzyiRMTJjjg52e5gXYHB2s++qgVoaFb2LIlGoAzZxJp3LgSb73VxCwD6sbzwvv06/dgtYCTJ3No0uQ6bm5W2NlpSEjI58iR6hw/bp6VncpqA6al5ZKWlsuVKxkcOZJIcnIooaHV+O47y67eYen+Hih737i42LBtWwfS03MJDT1AXt4/a1JSadRWby76fbXUwSzZ/2SMWtqAxlg67agxX1YDBwcHQkJCCAkJ4d1332XkyJFMmzaN/fv3A6DVPsjvcnNzjX6Hra2t/nnRRYUFf2FWlwyoPwYrKw329lZMm3aWb74xXDbl7NluvP76KTZtstwS8AsWdCc0tB7BwcuJjk6x2O8+jqJCoXZtdzp2/J6kJOVO6KysXLKycnF3t6dr1xq8/fY+xWIBWLkykl27DCt627f3Y+XK8yxdquxSJiNG1Of48TgiIhLK3vgvWLCgGaGh1QkO3kV09KMHPhITdR0YHTt64uHhwMaNNx+57d/Jk7J/lDi3npR9A7rGzrFjd6lb13DJ9Tp13ImJMf0FUAcPZlK3rv1Dv2VPTEzplXIrK909zc3N2dmKWrXsWbnSsMFZtNx8x44ueHjYsHGj5WcHDBvWiLt3s9i8WZl7Gxrj7GxLrVoVWLnS/EvQ796dRECAYWfj0qX1uXAhizlzoo2uGtC4sa7DOTbWco2+onqYMY0bly+MRz2ziy3l2jWIjYXOneF04QQoV1do2RIWLSq5/bBhsGIF5OWZ5vfLSj9RUfe4dSubunUNByDq1HFm61bz1jf+CF36Mm+TSOljVWTBgpaEhvoQHLyN6GjDVTmiozO4dSuTunUNL8aqU8eNrVvNsO78Q5ycbEqsKpOfr9XPArKEBQvaEhrqR3DwRqKjDcvrEyfiuX8/n86dq7F+va49WKeOO76+rhw+bL5BY2PU1qa4di2V2NgMOnf25fTpuwC4utrRsqU3ixaZb6bLsGHO3L1bwObNxtubI0Y4s3HjPRISzD9zTc3nljFqarNb2sGDWdSta7isaZ06dsTE6DrgcnPh2LF7j6hbG++k+6sWLGhFaGgNgoM3l0g/s2ef5ptvLhq8d/ZsP15//SibNpn/wuGDB29Qt65hJ3udOhWIibFMvb20c8vJSbe8qfGyw/LxFDdiRB02brxBQoLyS4mD7l7lAP7+5WjWrDLvvvubxWOwdFnh5KQp0ZbJz3+wasjKlffZtcuworV9uysrV+awdKllj5utrRV2dtYWrQcdPJhtJC+0NZrPpaXpdqS/vy3Nmtnz7ruWuQd1aW1AjUb3sER/xsMs3d9jTPF94+pqw/btHcjJKeC55w5YfMa+2qmt3qy2Opgl+5+MUUMb8FEsnXaehHxZDerXr8+GDRuoXLkyALGxsTRp0gSAU8ZmK5iBDKg/5KOPGrB16x2uX8/E1dWWQYN8CA72oGvXfcTFZRMXVzKju349q9QBHlNauPBZBg1qQO/e35GenoOnp+6q9tTUHLKzTdzrZoSzsy3+/u76135+5WjUqDJJSdnExmbyv//1JDDQk549f8TaWoOnp64TNSkp22L3tnnmmRpoNBouXkzC39+duXODuXAhiaVLzX9lU2n758aN9BIFZW5uPnfuZHLpUjLmoIvnQeeNn58bjRpVKoxH1wB0dbXl+ef9efPNA2aJocjChc0ZNKgGvXvvIz09F09P3ey01NRcsrN1A2thYTWJjEwlPj6HVq0qMW9eM8LDL3DpkrpWYTCHJ2H/KHVuqXHflHVuzZ17krVru/Hrr7fZs+cm3br50quXH8HB600eS3h4AocO+TN5cmXWrUulRQsnRo+uyOjRuosJnJw0TJniycaNacTG5lKpkg3jx1ekalVbvv8+xeTxzJ1blU2bUomJuU+VKrbMmOFNfr6WNWt0+VxYWAUiI7OJj8+jVSsX5s2rRnj4XS5dsmzHhUajG1BfvjyC/HzlruCeOzeETZsuEROTQpUqrsyYEUx+fgFr1ph/mbaMjHzOnTOsv2RmFpCYmMu5c5nUrOnIoEFebNmSQGJiLg0buhAeXod9+5I5c8Y8S+SXVg+rWdOZQYN82bIllsTEHBo2dCc8vAn79t3lzBl1LNdoas7O4O//4LWfHzRqBElJcOMGfPYZTJ0Kly/rBm0/+ABu34YNGwy/p1MnqFkTvvnGdLGVlX4A5s6NYcaMWpw+ncGpU+kMHepNvXpO9O9vngtRS6uHJSbeY8qUlmzcGEVsbAaVKjkyfnxjqlZ14fvvL5ngt9V7rEC3PO2gQTXp3Xs36el5eHrq7mOfmnpfX5bOnXuOGTMac/p0EqdOJTF0qD/16pWjf/+9pg3GiE2bLjNlShuuX0/j3Ll4mjTx4o03WrBkiWWWy124sB2DBtWmd++tpKffL7F/0tLus3jxBT79tDVJSdmkpd1nwYJ2HDp0h6NHTT+grs42xYOOYz8/dxo18iAp6R43bqTz2WfHmTq1FZcvJ3PtWgoffNCO27cz2LDBPBes6cpwJ5YvzyTfyJ1ratWypn17O5591vwX76jx3HoS2uxKCQ9P4tChGkyeXJF169Jo0cKR0aPLM3p0rH6buXOTWLu2Kr/+msWePZl06+ZCr14uBAebfgB74cLWDBpUi969dxa2cwzTT1zcPeLiSl40eP16RqkDuqYSHv4bhw4NZfLk1qxbF0mLFlUYPboJo0cbX+rclMo6ty5cSOXy5TS+/LIVb711nMTEHPr08SEkpAo9e+6yeDxFatVypX17T5591vQxPMzZ2cZIm7QiSUk53LiRQf/+NYmPz+b69XQaNKjIvHlt2LAhmp07zXPRuZrKik2bcpkyxZHr1ws4dy6fJk2seeMNB5Ys0bU5k5K0JCUZFiC5uVru3Cng0iXT54Nl9R/s3XuTuXPbcO9eHjEx6XToUIUhQ+rxxhv7TR4LQHh4MocOVWfy5PKsW5dBixYOjB5djtGj7+q36d/fhfj4fK5fz6VBA3vmzavMhg2Z7Nxp+pVfSmsD+vk5M3CgDzt23CE+Podq1RyZNOkp7t3LZ8uW2LK//E9QU39PafvG1dWGHTuCcXKy5qWXDuDmZoubm24mZnx8jtlugVjWuV6+vAM+Pm5UqaKbWVt0YdadO5nExZl+/ERN9Wa118GU7H8yRuk2oJrSjtryZaUlJiby/PPPM3z4cBo2bIirqyvHjx/n448/pnfv3jg6OhIUFMTs2bPx8/Pj7t27TJ061SKxyYD6Qzw8HFixoiXe3g6kpuYSEZFC16772LXLsjMPHmXcuOYA7NsXZvB+WNgGli83f2bTrJkne/c+uKFjeHgwAMuWnWP69MP07q3rSTx92nBJsuDgdezbZ5mZouXK2TNrVnuqVXMlKSmbH364xJQpv5KXZ/6CqbT9M2zYdrP/fsl4PNi7t2+xeNoVxhPJsGG6Bt4LL9RBo4E1a/56Z3Jpxo2rA8C+fSEG74eFHWb5ct1Mn7p13Zg1qzEVKtgRHZ3JzJlnCQ+/YNa41OJJ2D9KnVtq3DdlnVsbNkQxZsweJk9uxvz57bl4MZl+/bZw8KDpG3zHj98jNDSaWbO8eO89T65du8+ECbdZvToF0F2JX6+ePUOH+lKpkjWJifkcO5ZFu3ZXSyxnaQrVqtmyZk0NKla0IT4+jwMHMggKukhCgu6ir7p1HZg1qyoVKlgTHX2fmTPvEB5+t4xvNb0uXfzw9S1nsYr6o1Sr5saaNf2oWNGR+PgsDhy4TlDQYhISlK8Q379fQJcuFZgwoTrOztbcuJHDDz/c5cMPr5ntN0urh1Wr5kiXLp5MmFAHZ2cbbtzI4ocfbvDhh+fNFo/SmjWDvXsfvA4P1/27bJluFvPHH+sGcr/6Ctzd4cAB6NYNch46tUeMgIMH4aLhJDezmzfvBg4OVoSH16FCBVtOn04nJOSk2W4XUFo9bMyYXdSrV4GhQ5+mUiUHEhOzOXbsDu3areX8+b9+Rbfaj9W4cbrlefft627wfljYAZYv1y1JO2/eeRwcrAkPb0GFCnacPp1MSMgOoqLMf+HeK6/s4IMPOvDf/3bDw8OJ27cz+PLL33n/ffN0JD9s3LgAAPbt62PwfljYLyxfrjsYr79+kIICLT/80BV7e2u2b7/BuHG/miUe9bUpvNi798Vi8XQqjOcMw4Zt5eOPf8PZ2Y6vvnoGd3cHDhy4Sbdu35OTY2S02wS6dLHH19eGJUuMl5XDhztz82Y+O3aY/2I9NZ5bT0KbXSnHj2cTGnqTWbMq8957lbh2LZcJE+JYvfrBfWg3bEhnzJhYJk+uxPz5nly8eJ9+/W5y8KDpy65x4+oDsG9fT4P3w8L2sXy58isoHT8eS2jo/5g1qyPvvdeOa9dSmDBhJ6tXm39WX1nnVl6elmef3cns2U3ZtKkzLi42XLmSztCh+82y+sPjnOsAw4fX5ubNTHbsMP8KFLo2aW/96/DwNgAsW3aBYcP24O3tzKeftsHT05HY2CxWrLjIBx+cMGM86ikrXnklkw8+cOK//3XCw8OK27cL+PLLHN5/X5lVrcrqP3jhhe3MmtWKVaueoUIFB2Ji0pky5TBffGGeQa7jx3MIDY1l1qyKvPdeBa5dy2PChHhWr35QLnl7W/Ppp5Xw9LQhNjaPFSvS+OCDpFK+9c8rrQ3o7e1Au3aVmDChDuXL2xIXl8Ovv8bTuvVu4uPNU86rqb+ntH3ToUNlgoIqAnD1qmE5UqPGJmJizNOnUNa5/txz/ixb9qz+87VrnwNg+vSDzJhx0AzxqKferPY6mNr6n5RuA6op7agtX1aai4sLLVu2JDw8nKtXr5Kbm0v16tUZNWoU77zzDgBLlixhxIgRNG3alLp16/Lxxx/zzDPPmD02jbb4QvN/U7GxsXz11VeMHj2aKlXM0+nxuLTagfrnGs0MBSPR0Wqn6Z9rNJ8qGImOVvuG/rlG87GCkehERHRn/fr19O3bl4YNdyodzkP7Z4GCkehota/on2s0qxSMREerHax/npWl/GDU1atXi6UfZZbPKVJ836jh3NJq39Y/V1vaUd+5pWzaAYiI0BRLy+ZZ7vKP0GoD9c81mpkKRqKj1U7RP1df2W7+2TGliYjwLJZ2lB/4Ll4PU0M54eT0YDl0jfKrmlG8VaB02oGH04/a6mEKBlLI8HgtUyyOIlptmP650nmzYb5sZF19C4uIaKvitKy2eqHyA7pabTX9czWcWxERTVWbftRXlkYqGAlotU/pn2s0Jl5q5E+IiGhZLO1sVDqch/LmZcoFUsiw3FqmWBxFDONRvuzSasfqn6uhrDDsn6uqdDhotQ9uh6C+PgRlL8jRamvrn2s0axWMRCcion6xtLNX6XAeOlbK7x/DsQrlz3XDeqHyYxURESGqrYepr/9JTW1A5dOO4bFS/kLJ27dd9GOk3t7eSofzxLL8zUaEEEIIIYQQQgghhBBCCCGEEEKIJ4AMqAshhBBCCCGEEEIIIYQQQgghhBBGyIC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBGyIC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBGyIC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBGyIC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBGyIC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBGaLRarVbpIMwtNjaWr776itDQUCpXrqx0OOIJcvnyZfbs2UPHjh2pXbu20uGIJ4ykH/F3IWlZ/FmSdsRfIelH/F1IWhZ/haQf8WdJ2hF/J5KexZ8laUf8FZJ+xN9FfHw8P/74I6NHj8bb21vpcJ5Y/4gB9dTUVBYuXEhubq7SoQghhBBCCCGEEEIIIYQQQgghhEXY2toyfvx4ypUrp3QoT6x/xIA66AbVs7KylA5DPIHy8vKwsbFROgzxhJL0I/4uJC2LP0vSjvgrJP2IvwtJy+KvkPQj/ixJO+LvRNKz+LMk7Yi/QtKP+LtwcnKSwfS/6B8zoC6EEEIIIYQQQgghhBBCCCGEEEL8EVZKByCEEEIIIYQQQgghhBBCCCGEEEKokQyoCyGEEEIIIYQQQgghhBBCCCGEEEbIgLoQ4m9No9GwYcMGpcMQQgghhBBCPMGkXSGEEEIIIYQQ/1wyoC4sKiwsjD59+igdhnjChIWFodFoSjyuXLmidGhCxYrSzZgxY0p8Nn78eDQaDWFhYZYPTIi/6PDhw1hbW9OjRw+lQxEqJ/mgMBWpw4u/I0nX4o+Q+pf4s+Lj4xk7diw+Pj7Y29vj5eVF165dOXjwoNKhCfGn3Lhxg+HDh1OlShXs7Ozw9fXltddeIzEx8bH+/969e9FoNKSkpJg3UKEaRe3S2bNnG7y/YcMGNBqNQlGJJ0HxMQFbW1s8PT0JCQlhyZIlFBQUKB2e+AeSAXUhxBOhW7duxMbGGjz8/PyUDkuoXPXq1fnuu++4d++e/r3s7GxWr16Nj4/PX/ru3NzcvxqeEH/K4sWLeeWVV/j111+5ffv2X/qu/Px8aYT8zZkzHxRCCCH+KUxZ/xL/LP369eP3339n+fLlXLp0iY0bNxIcHPzYg49CqElUVBTNmjXj8uXLrFmzhitXrvDFF1+we/duWrVqRVJSktIhCpVycHBgzpw5JCcnKx2KeMIUjQlER0ezdetWOnbsyGuvvUbPnj3Jy8tTOjzxDyMD6kIx27Zto23btri7u1OxYkV69uzJ1atX9Z9HR0ej0WhYv349HTt2xMnJiUaNGnH48GEFoxZKKbqSu/jD2tqan376icDAQBwcHKhZsyYzZswoUZjGxsbSvXt3HB0dqVmzJv/73/8U+iuEpQUGBlK9enXWr1+vf2/9+vX4+PjQpEkT/XuPmx+tXbuWDh064ODgwKpVqyz6twgBkJGRwdq1axk7diw9evRg2bJl+s+KrvTfvHkzDRs2xMHBgaCgIM6ePavfZtmyZbi7u7Nx40bq16+Pvb09169fV+AvEZZiqnywU6dOvPzyywbfHR8fj52dHbt37zb/HyJUo0aNGnz22WcG7zVu3Jjp06frX2s0Gr755htCQ0NxcnKidu3abNy40bKBCvEHPE66Fv9cpdW/iupWxRmbcffhhx/i4eGBq6srI0eOZNKkSTRu3Nj8wQtFpaSksH//fubMmUPHjh3x9fWlRYsWTJ48meeee06/zciRI6lcuTJubm506tSJ06dP679j+vTpNG7cmC+//JLq1avj5OTEgAEDSE1NVerPEv9g48ePx87Ojh07dtChQwd8fHzo3r07u3bt4tatW0yZMgWAnJwcJk6cSPXq1bG3t8ff35/FixcTHR1Nx44dAShfvrysmPUP0qVLF7y8vJg1a9Yjt/nhhx94+umnsbe3p0aNGnzyySf6z9555x1atmxZ4v80atSI999/3ywxC3UoGhOoWrUqgYGBvPPOO/z0009s3bpVXycrqywF2LRpE82bN8fBwYFKlSoRGhqqwF8jnnQyoC4Uk5mZyRtvvMHx48fZvXs3VlZWhIaGlpgpN2XKFN566y1OnTpFnTp1ePHFF+XqIwHA/v37GTJkCK+99hrnz5/nyy+/ZNmyZcycOdNgu3fffZd+/fpx+vRpBg8ezAsvvEBkZKRCUQtLGz58OEuXLtW/XrJkCcOGDTPY5nHzo0mTJvHaa68RGRlJ165dLRK/EMWtW7eOevXqUbduXV566SWWLFmCVqs12OY///kPn3zyCceOHaNy5cr06tXLYEWFrKws5syZwzfffMO5c+fw8PCw9J8hLMwU+eDIkSNZvXo1OTk5+v/z7bffUrVqVTp16mSZP0Q8UWbMmMGAAQOIiIjg2WefZfDgwTJrSQjxRHqc+ldpVq1axcyZM5kzZw4nTpzAx8eHRYsWmTFioRYuLi64uLiwYcMGgzpUcc8//zx3795l69atnDhxgsDAQDp37mxQZl65coV169axadMmtm3bxu+//864ceMs9WcIAUBSUhLbt29n3LhxODo6Gnzm5eXF4MGDWbt2LVqtliFDhrBmzRrmz59PZGQkX375JS4uLlSvXp0ffvgBgIsXLxIbG8u8efOU+HOEhVlbW/PRRx+xYMECbt68WeLzEydOMGDAAF544QXOnDnD9OnTeffdd/UDpoMHD+a3334zuOj73LlzREREMGjQIEv9GUIlOnXqRKNGjfQTB8oqSzdv3kxoaCjPPvssv//+O7t376ZFixZK/gniSaUVwoKGDh2q7d27t9HP4uPjtYD2zJkzWq1Wq7127ZoW0H7zzTf6bc6dO6cFtJGRkZYIV6jE0KFDtdbW1lpnZ2f9o3///trOnTtrP/roI4NtV65cqfX29ta/BrRjxowx2KZly5basWPHWiR2oZyi/Obu3btae3t7bXR0tDY6Olrr4OCgjY+P1/bu3Vs7dOhQo//3UfnRZ599ZsG/QIiSWrdurU+Hubm52kqVKmn37Nmj1Wq12j179mgB7XfffaffPjExUevo6Khdu3atVqvVapcuXaoFtKdOnbJ47MLyTJkP3rt3T1u+fHl9WtJqtdqGDRtqp0+fbok/RSiseB3e19dXGx4ebvB5o0aNtNOmTdO/BrRTp07Vv87IyNAC2q1bt1ogWiEez59J1z/++KPF4hPqUVr9a+nSpdpy5coZbP/jjz9qi3e3tWzZUjt+/HiDbdq0aaNt1KiROcMWKvG///1PW758ea2Dg4O2devW2smTJ2tPnz6t1Wq12v3792vd3Ny02dnZBv+nVq1a2i+//FKr1Wq106ZN01pbW2tv3ryp/3zr1q1aKysrbWxsrOX+EPGPd+TIkVLLwk8//VQLaI8ePaoFtDt37jS6XVG7NTk52XzBClUpXucKCgrSDh8+XKvVGpaXgwYN0oaEhBj8v//85z/a+vXr6183atRI+/777+tfT548WduyZUszRy+UVNpY0sCBA7VPPfXUY5WlrVq10g4ePNjc4Yp/AJmhLhRz+fJlXnzxRWrWrImbmxs1atQAKLH0bMOGDfXPvb29Abh7967F4hTq0LFjR06dOqV/zJ8/n9OnT/P+++/rr/p2cXFh1KhRxMbGkpWVpf+/rVq1MviuVq1ayQz1f5DKlSvrl2ZcunQpPXr0oFKlSgbbPG5+1KxZM0uFLUQJFy9e5LfffuPFF18EwMbGhoEDB7J48WKD7YrneRUqVKBu3boGeZ6dnZ1B2Sr+/kyRDzo4OPCvf/2LJUuWAHDy5EnOnj0rSzSKRyqezzg7O+Pm5iZ1eCHEE+dx619lfcfDs6BkVtQ/R79+/bh9+zYbN26kW7du7N27l8DAQJYtW8bp06fJyMigYsWKBv0a165dM5iF6ePjQ9WqVfWvW7VqRUFBARcvXlTiTxL/cNoyVuiIjo7G2tqaDh06WCgi8SSZM2cOy5cvL9EvGxkZSZs2bQzea9OmDZcvXyY/Px/QzVJfvXo1oEuHa9asYfDgwZYJXKiOVqtFo9E8Vll66tQpOnfurHDE4u/ARukAxD9Xr1698PX15euvv6ZKlSoUFBQQEBDA/fv3DbaztbXVPy+6D9nDyzCLvz9nZ2f8/f0N3svIyGDGjBn07du3xPYODg6WCk08AYYPH66/9+/ChQtLfP64+ZGzs7NF4hXCmMWLF5OXl0eVKlX072m1Wuzt7fn8888f+3scHR1L3NdT/P2ZIh8cOXIkjRs35ubNmyxdupROnTrh6+trsb9BqIOVlVWJjtTit5UoUrwOD7p6vNThhVo9broW/zxl1b8k7YjH4eDgQEhICCEhIbz77ruMHDmSadOmMW7cOLy9vdm7d2+J/+Pu7m7xOIUojb+/PxqNhsjISKP3Ho6MjKR8+fIlloMXorj27dvTtWtXJk+e/Icvzn7xxReZOHEiJ0+e5N69e9y4cYOBAweaJ1ChepGRkfj5+ZGRkVFmWSr5kjAVGVAXikhMTOTixYt8/fXXtGvXDoADBw4oHJV40gQGBnLx4sUSA+0PO3LkCEOGDDF43aRJE3OHJ1SkW7du3L9/H41GU+Le55IfiSdBXl4eK1as4JNPPuGZZ54x+KxPnz6sWbOGevXqAbo8zsfHB4Dk5GQuXbrEU089ZfGYhbqYIh9s0KABzZo14+uvv2b16tV/6EIO8fdRuXJlYmNj9a/T0tK4du2aghEJ8ddJuhbGPE79y9fXl/T0dDIzM/UX3546dcpg27p163Ls2DGDNumxY8fMHr9Qr/r167NhwwYCAwO5c+cONjY2+tWBjLl+/Tq3b9/WX9hx5MgRrKysqFu3roUiFgIqVqxISEgI//3vf3n99dcNBqju3LnDqlWrGDJkCA0aNKCgoIB9+/bRpUuXEt9jZ2cHoJ91LP55Zs+eTePGjQ3ysKeeeoqDBw8abHfw4EHq1KmDtbU1ANWqVaNDhw6sWrWKe/fuERISgoeHh0VjF+rwyy+/cObMGV5//XWqVatWZlnasGFDdu/ezbBhwywbqPjbkQF1oYjy5ctTsWJFvvrqK7y9vbl+/TqTJk1SOizxhHnvvffo2bMnPj4+9O/fHysrK06fPs3Zs2f58MMP9dt9//33NGvWjLZt27Jq1Sp+++23P7REn3jyWVtb65eTKqqIF5H8SDwJfv75Z5KTkxkxYgTlypUz+Kxfv34sXryYuXPnAvD+++9TsWJFPD09mTJlCpUqVaJPnz4KRC3UxFT54MiRI3n55ZdxdnY2OjNF/P116tSJZcuW0atXL9zd3XnvvfdKpCkhnjSSroUxj1P/2r59O05OTrzzzju8+uqrHD16lGXLlhls+8orrzBq1CiaNWtG69atWbt2LREREdSsWdOCf41QQmJiIs8//zzDhw+nYcOGuLq6cvz4cT7++GN69+5Nly5daNWqFX369OHjjz+mTp063L59m82bNxMaGqq/5ZiDgwNDhw7l//7v/0hLS+PVV19lwIABeHl5KfwXin+azz//nNatW9O1a1c+/PBD/Pz8OHfuHP/5z3+oWrUqM2fOpEKFCgwdOpThw4czf/58GjVqRExMDHfv3mXAgAH4+vqi0Wj4+eefefbZZ3F0dMTFxUXpP01YUIMGDRg8eDDz58/Xv/fmm2/SvHlzPvjgAwYOHMjhw4f5/PPP+e9//2vwfwcPHsy0adO4f/8+4eHhlg5dKCAnJ4c7d+6Qn59PXFwc27ZtY9asWfTs2ZMhQ4ZgZWVVZlk6bdo0OnfuTK1atXjhhRfIy8tjy5YtTJw4Uek/Tzxh5B7qwqIKCgqwsbHBysqK7777jhMnThAQEMDrr7+uHwgQ4nF17dqVn3/+mR07dtC8eXOCgoIIDw8vsfzsjBkz+O6772jYsCErVqxgzZo11K9fX6GohVLc3Nxwc3Mr8b7kR+JJsHjxYrp06VKiMxd0HbrHjx8nIiIC0F3t/dprr9G0aVPu3LnDpk2b9LMAxD+bKfLBF198ERsbG1588UW5vco/SFEdHmDy5Ml06NCBnj170qNHD/r06UOtWrUUjlCIP07StSjL49S/bt68ybfffsuWLVto0KABa9asYfr06QbbDh48mMmTJ/PWW28RGBjItWvXCAsLk3L0H8DFxYWWLVsSHh5O+/btCQgI4N1332XUqFF8/vnnaDQatmzZQvv27Rk2bBh16tThhRdeICYmBk9PT/33+Pv707dvX5599lmeeeYZGjZsWGKQSQhLqF27NsePH6dmzZoMGDCAWrVqMXr0aDp27Mjhw4epUKECAIsWLaJ///6MGzeOevXqMWrUKDIzMwGoWrUqM2bMYNKkSXh6eupvSyX+Wd5//32D20EFBgaybt06vvvuOwICAnjvvfd4//33SywL379/fxITE8nKypKJA/8Q27Ztw9vbmxo1atCtWzf27NnD/Pnz+emnn7C2tn6ssjQ4OJjvv/+ejRs30rhxYzp16sRvv/2m8F8mnkQa7cM3exLCjLp164a/v78sESqEEEKY2N69e+nYsSPJyclyz0VhNtHR0dSqVYtjx44RGBiodDjCQqQOL/6OJF0LJYWEhODl5cXKlSuVDkWo3PTp09mwYUOJWwkIIYQQQgjLkiXfhUUkJydz8OBB9u7dy5gxY5QORwghhBBC/AG5ubkkJiYydepUgoKCZDD9H0Lq8OLvSNK1sLSsrCy++OILunbtirW1NWvWrGHXrl3s3LlT6dCEEEIIIYQQj0kG1IVFDB8+nGPHjvHmm2/Su3dvpcMRQgghhBB/wMGDB+nYsSN16tThf//7n9LhCAuROrz4O5J0LSytaCnSmTNnkp2dTd26dfnhhx/o0qWL0qEJIYQQQgghHpMs+S6EEEIIIYQQQgghhBBCCCGEEEIYYaV0AEIIIYQQQgghhBBCCCGEEEIIIYQayYC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBGyIC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBGyIC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBGyIC6EEIIIYQQQgghhBBCCCGEEEIIYYQMqAshhBBCCCGEEEIIIYQQQgghhBBG/D+I58D58hvUrQAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 2500x300 with 1 Axes>"
       ]
@@ -360,10 +360,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:10.165754Z",
-     "iopub.status.busy": "2024-09-13T08:25:10.165561Z",
-     "iopub.status.idle": "2024-09-13T08:25:10.383431Z",
-     "shell.execute_reply": "2024-09-13T08:25:10.382880Z"
+     "iopub.execute_input": "2025-02-02T04:24:21.436283Z",
+     "iopub.status.busy": "2025-02-02T04:24:21.436092Z",
+     "iopub.status.idle": "2025-02-02T04:24:21.634418Z",
+     "shell.execute_reply": "2025-02-02T04:24:21.633862Z"
     },
     "tags": [
      "remove-input"
@@ -372,7 +372,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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1UDoAAFqDQkvOH/3oR6moqGjys9tuuzWer66uzsCBA7P11ltniy22yNFHH50FCxY0ucbs2bMzYMCAbLbZZtl2223zne98J3V1dU3GjBkzJnvvvXe6dOmSXXbZJYMGDdoYtwcAwDtUKpXyjW/clauuWjMb883W4HwjdXUN6dfvmpQ29I0AAJSNwmdy7r777pk3b17jz4MPPth47vzzz88dd9yRoUOHZuzYsZk7d26OOuqoxvP19fUZMGBAVq9enYcffjiDBw/OoEGDcskllzSOmTFjRgYMGJA+ffpk/PjxOe+883LGGWfk7rvv3qj3CQDAhimVSjnvvBG54oonkry9gnOtyZMX5wc/GN2M6QAAaE0qSgX+kfaPfvSj3HbbbRk/fvw65yorK7PNNttkyJAhOeaYY5IkkydPzoc//OGMGzcu++67b4YPH55DDz00c+fOTY8ePZIkV155ZS688MIsWrQonTt3zoUXXphhw4bl2Wefbbz2CSeckKVLl2bEiBHrlbOqqirdu3fP4sWLs/XWW7/zGwcA4E2VSqV861v35Le/fSTJOys416qoSCZMOCt77tmjGRICALAh1vZrlZWV6datW7Nff5Nmv+IGmjp1arbbbrt07do1vXv3zmWXXZYdd9wxTz75ZGpra9OvX7/Gsbvttlt23HHHxpJz3Lhx2XPPPRsLziTp379/zj777EycODEf+9jHMm7cuCbXWDvmvPPOe8NMNTU1qampaXxdVbVmDafa2trU1tY2050DAPB6SqVSLrrovvz2t48mSbp0qUiHDhXv6HqrV5fS0JAcdNA1mT79nHTq1LG54gIAsB5aulMrtOT85Cc/mUGDBmXXXXfNvHnzcumll+azn/1snn322cyfPz+dO3fOlltu2eQ9PXr0yPz585Mk8+fPb1Jwrj2/9tybjamqqsqqVauy6aabrpPrsssuy6WXXrrO8dGjR2ezzTZ72/cLAMCbK5VK+cc/5uXmmxcmSc4+e/v07/+ed3zdxYtX59xzp2T+/BX58pcH5aST3vuOrwkAwPpbuXJli16/0JLzkEMOafzrj3zkI/nkJz+Z973vfbnxxhtft3zcWC666KJccMEFja+rqqqyww47pE+fPh5XBwBoQT/60djGgrNz54oMGjQ3gwbNbZZr19Wted79xhsX5Mtf7psDDnh/s1wXAIC3tvZJ6ZZS+OPqr7blllvmQx/6UKZNm5YDDzwwq1evztKlS5vM5lywYEF69uyZJOnZs2cee+yxJtdYu/v6q8e8dkf2BQsWpFu3bm9YpHbp0iVdunRZ53inTp3SqVOnt31/AAC8sUsvHZOf/eyhJEmHDhVZvbqUpGWWjz/22Jszb963ssUWnVvk+gAANNXSnVrhu6u/2vLlyzN9+vS8973vzT777JNOnTpl1KhRjeenTJmS2bNnp3fv3kmS3r1755lnnsnChQsbx4wcOTLdunVLr169Gse8+hprx6y9BgAAxfvJT+7Pj340NsmagrOhoWX3xly+fHWOOOL6Fv0MAAA2nkJLzm9/+9sZO3ZsZs6cmYcffjhHHnlkOnbsmBNPPDHdu3fP6aefngsuuCCjR4/Ok08+mS9/+cvp3bt39t133yTJQQcdlF69euWUU07JhAkTcvfdd+fiiy/OwIEDG2dinnXWWXnhhRfy3e9+N5MnT84VV1yRG2+8Meeff36Rtw4AwP/5+c8fzA9+MDpJ0qFDWrzgXOu++2bk739/eqN8FgAALavQkvPFF1/MiSeemF133TXHHXdctt566zzyyCPZZpttkiS//e1vc+ihh+boo4/O5z73ufTs2TO33HJL4/s7duyYO++8Mx07dkzv3r3zxS9+Maeeemr+67/+q3HM+9///gwbNiwjR47MXnvtlV//+tf561//mv79+2/0+wUAoKlf/erhXHTRmqdu1hScG/fzv/a1OzNv3rKN+6EAADS7ilKptHH+qLyMVVVVpXv37lm8eLGNhwAAmslvfzsuF1xwT5JiCs61dt99mzzzzNmpqKgoJgAAQDuwtl+rrKxMt27dmv36rWpNTgAA2of//u9HGwvOioriCs4kmThxUS69dGxxAQAAeMeUnAAAbFRXXPF4vvnNEUnWFJyt4bmi//qvsZk4cVHRMQAAeJuUnAAAbDRXXfVEBg68K0nrKTiTNTkOOuia1NUVOKUUAIC3TckJAMBG8b//+1TOOmtYktZVcK41d+6yfO1rdxYdAwCAt0HJCQBAixs0aHzOPPOOJK2z4Fzrb397OqNHzyg6BgAAG0jJCQBAi7rmmgn5ylf+mVKpdReca33hCzdkxYrVRccAAGADKDkBAGgxQ4Y8k9NOK5+CM0mqqmpy1FE3Fh0DAIANoOQEAKBF3HDDsznllFvT0FAqm4JzrXvumZ5rrplQdAwAANaTkhMAgGZ3002TcvLJt5RlwbnWGWfckYULlxcdAwCA9aDkBACgWd1663M58cSbU19fvgVnkqxeXZ+DDvpHSuV6AwAA7YiSEwCAZnP77VNy3HE3pa6uoawLzrUmTFiQyy57oOgYAAC8BSUnAADNYtiw53PMMTe2mYJzrR/8YEymTFlcdAwAAN6EkhMAgHdsxIhpOeqoG1Nb25Ck7RScSdLQUEq/ftekrq6h6CgAALwBJScAAO/IyJHT84UvXJ/Vq+uLjtJiXnyxKgMHDis6BgAAb0DJCQDA2zZq1As5/PDrU1PTdgvOtf7yl6fywAOzio4BAMDrUHICAPC2jBkzM4cddl2qq+uKjrLRHHbYdVm5srboGAAAvIaSEwCADfbAA7MyYMCQrFrVfgrOJKmsrMlxxw0tOgYAAK+h5AQAYIM89NDsHHLIte12RuOwYVNz/fXPFh0DAIBXUXICALDeHnnkxRxyyLVZsaJ9FpxrnXbabVm8eEXRMQAA+D9KTgAA1stjj72U/v3/kWXLVhcdpXA1NfXp3/8fKZVKRUcBACBKTgAA1sOTT87NQQddk6qqmqKjtBpPPTU/v/zlw0XHAAAgSk4AAN7C00/Py4EHXpPKSgXna1100ahMm/Zy0TEAANo9JScAAG9owoT56dfvmrzySnXRUVqlhoZS+vW7OvX1DUVHAQBo15ScAAC8rmeeWZADDrg6L7+8qugordqsWZU599wRRccAAGjXlJwAAKxj4sSFOeCAq7NkiYJzffzpT4/n4YdnFx0DAKDdUnICANDEc88tSt++V2fRopVFRykrhx56XVatqi06BgBAu6TkBACg0ZQpi9O379VZuHBF0VHKziuvVOfEE28uOgYAQLuk5AQAIEkybdrL6dv36syfv7zoKGXrn/+ckptumlR0DACAdkfJCQBApk9/OX36DM7cucuKjlL2Tjnl1ixZ4lF/AICNSckJANDOzZjxSvr0GZwXX6wqOkqbUF1dl0MOuTalUqnoKAAA7YaSEwCgHZs1a2n69r06c+YoOJvT44/Pze9+90jRMQAA2g0lJwBAOzVnTmX69BmcmTOXFh2lTfrOd0bmhRdeKToGAEC7oOQEAGiHXnqpKn36DM6MGUuLjtJm1deX0q/f1Wlo8Ng6AEBLU3ICALQz8+YtS58+gzN9ulmGLW3GjKX51rfuLjoGAECbp+QEAGhH5s9fnj59Bmfq1JeLjtJu/O53j+bRR18qOgYAQJum5AQAaCcWLlyRvn0HZ8qUJUVHaXcGDLg21dV1RccAAGizlJwAAO3AokUrcsABV+e55xYXHaVdWrJkVb74xVuKjgEA0GYpOQEA2rglS1amX79r8uyzC4uO0q7dfPNzue22yUXHAABok5ScAABt2Msvr0q/ftfkX/9aUHQUkpx00s155ZVVRccAAGhzlJwAAG3UK6+syoEHXpPx4+cXHYX/s2pVXQYMGFJ0DACANkfJCQDQBlVWVqd//3/kqafmFR2F1xg37sX88Y+PFR0DAKBNUXICALQxVVU1Ofjga/P443OLjsIbOO+8EZk1a2nRMQAA2gwlJwBAG7JsWU0OOeTaPPLIi0VH4U3U15fSr9/VaWgoFR0FAKBNUHICALQRy5evzuc/PyQPPzyn6Cish2nTXsl3vzuy6BgAAG2CkhMAoA1YsWJ1Dj10SB58cHbRUdgAv/nNuDz5pGUFAADeKSUnAECZW7myNocddl3Gjp1VdBQ2UKmUHHLItVm9ur7oKAAAZU3JCQBQxlatqs0RR1yf0aNnFh2Ft2nRopU59dRbi44BAFDWlJwAAGWqurouRx11Y+6994Wio/AO3XDDxNx55/NFxwAAKFtKTgCAMlRTU5ejj74xI0ZMKzoKzeT442/K0qWrio4BAFCWlJwAAGVm9er6HHvs0Nx119QkSUVFwYFoFmvXVgUAYMMpOQEAykhtbX2OP/6m3HHHmkebKyrWbF5D2/Dgg3Py5z8/UXQMAICyo+QEACgTtbX1OfHEm3PbbZOTKDjbqm9+c3hefLGq6BgAAGVFyQkAUAbq6hryxS/emptvfi6JgrMtq6trSL9+V6fkHzAAwHpTcgIAtHL19Q059dRbc+ONE5MoONuDKVOW5Pvfv6/oGAAAZUPJCQDQitXXN+S00/6Z6657NomCsz25/PIHM378/KJjAACUBSUnAEAr1dBQyumn355//ONfSZIOHRSc7UmplPTv/4+sXl1fdBQAgFZPyQkA0Ao1NJTy1a/ekcGDJyRZU3A2NBQcio1u4cIV+cpX/ll0DACAVk/JCQDQyjQ0lHL22Xfmf//36SRrHlFXcLZf1177TO6+e1rRMQAAWjUlJwBAK1IqlXLOOXflL395Kok1OFnjmGNuzLJlNUXHAABotZScAACtRKlUyrnnjsif//xEEgUn/7Z8eW0OP/z6omMAALRaSk4AgFagVCrlggvuzn//92NJFJysa8yYmfnrX58qOgYAQKuk5AQAKFipVMp3vzsyv/vdo0kUnLyxr399WObOXVZ0DACAVkfJCQBQoFKplIsuGpVf/WpcEgUnb662tiH9+l2dki8JAEATSk4AgIKUSqX84Aejc/nlDyVJOnSoUHDylp57bnF++MMxRccAAGhVlJwAAAW59NKx+elPH0iypuBsaNBwsn5+8pP78+yzC4uOAQDQaig5AQAK8OMfj82ll45NsuYRdQUnG6JUSg466JrU1tYXHQUAoFVQcgIAbGSXXfZALrlkTJKkQwdrcPL2zJu3PGeeeUfRMQAAWgUlJwDARvTLXz6U73//viRrCs6GhoIDUdYGD56Qe++dXnQMAIDCKTkBADaS3/52XL773XuTrF2Ds+BAtAlHHXVjli9fXXQMAIBCKTkBADaCP/zh0VxwwT1JrMFJ81q2bHWOPPKGomMAABRKyQkA0ML+9KfHcu65I5KsKTitwUlzu/feFzJo0PiiYwAAFEbJCQDQgq666omcc87wJApOWtbXvnZnFixYXnQMAIBCKDkBAFrIX//6VM46a1gSBSctb/Xq+vTrd01KvmgAQDuk5AQAaAF///vT+epX70ii4GTjefbZhfnxj+8vOgYAwEan5AQAaGZXXz0hp59+e0olBScb36WXjs2kSYuKjgEAsFEpOQEAmtG11/4rp512m4KTwjQ0lHLQQdekrq6h6CgAABuNkhMAoJnccMOzOfVUBSfFe+mlZTn77GFFxwAA2GiUnAAAzeCmmybl5JNvSUNDScFJq/DXvz6VMWNmFh0DAGCjUHICALxDt976XE488ebU1ys4aV2OOOL6rFixuugYAAAtTskJAPAO/POfk3PccTelrq5BwUmrU1VVk2OOubHoGAAALU7JCQDwNt155/M59tihCk5atREjpufaa58pOgYAQItScgIAvA3Dh0/N0UffmNraNTtYKzhpzU4//Z9ZtGhF0TEAAFqMkhMAYAPdc8/0HHnkDVm9ur7oKLBeamrqc9BB16SkjQcA2iglJwDABhg16oUcccT1qalRcFJexo9fkJ///MGiYwAAtAglJwDAeho9ekYOO+y6VFfXFR0F3paLLx6dKVMWFx0DAKDZKTkBANbD/ffPyqGHXpdVqxSclK+GhlIOPPCa1Nc3FB0FAKBZKTkBAN7CQw/Nzuc/f21WrqwtOgq8Y3PmVOWcc4YXHQMAoFkpOQEA3sS4cXNy8MHXZsUKBSdtx5VXPpEHH5xddAwAgGaj5AQAeAOPPfZSDj742ixfvrroKNDsDjvsuqxapbwHANoGJScAwOt44om5Oeiga1JVVVN0FGgRS5dW57jjhhYdAwCgWSg5AQBe46mn5uXAA69JZaWCk7btzjun5sYbJxYdAwDgHVNyAgC8yoQJ83Pggddk6dLqoqPARnHqqbdm8eIVRccAAHhHlJwAAP/nmWcW5IADrs7LL68qOgpsNDU19enf/9qUSqWiowAAvG1KTgCAJBMnLswBB1ydJUsUnLQ/Tz01L7/+9biiYwAAvG1KTgCg3XvuuUXp2/fqLFq0sugoUJjvfe/eTJ/+ctExAADeFiUnANCuTZmyOH37Xp2FC61JSPtWX1/KAQdcnfr6hqKjAABsMCUnANBuTZ26JH36DM78+cuLjgKtwqxZlTnvvBFFxwAA2GBKTgCgXZo+/eX06TM48+YpOOHV/vjHxzNu3JyiYwAAbBAlJwDQ7syY8Ur69Bmcl15aVnQUaJUGDBiS6uq6omMAAKw3JScA0K7MmrU0ffoMzpw5VUVHgVbrlVeqc+KJNxUdAwBgvSk5AYB2Y86cyvTpMzizZlUWHQVavdtum5Jbbnmu6BgAAOtFyQkAtAsvvliVPn0GZ8aMpUVHgbJx8sm35OWXVxYdAwDgLSk5AYA2b+7cZenbd3CmT3+l6ChQVqqr63LIIUOKjgEA8JaUnABAmzZ//vL07Ts4U6e+XHQUKEuPPfZSfve7R4qOAQDwplpNyfnzn/88FRUVOe+88xqPVVdXZ+DAgdl6662zxRZb5Oijj86CBQuavG/27NkZMGBANttss2y77bb5zne+k7q6pjtBjhkzJnvvvXe6dOmSXXbZJYMGDdoIdwQAFG3BgjUF55QpS4qOAmXt29++JzNnmgkNALReraLkfPzxx3PVVVflIx/5SJPj559/fu64444MHTo0Y8eOzdy5c3PUUUc1nq+vr8+AAQOyevXqPPzwwxk8eHAGDRqUSy65pHHMjBkzMmDAgPTp0yfjx4/PeeedlzPOOCN33333Rrs/AGDjW7RoRQ444Oo899zioqNA2auvL+WAA65OQ0Op6CgAAK+rolQqFforleXLl2fvvffOFVdckZ/85Cf56Ec/mt/97neprKzMNttskyFDhuSYY45JkkyePDkf/vCHM27cuOy7774ZPnx4Dj300MydOzc9evRIklx55ZW58MILs2jRonTu3DkXXnhhhg0blmeffbbxM0844YQsXbo0I0aMWK+MVVVV6d69exYvXpytt966+f8mAADNavHilenbd3CeeWZh0VGgTTn//H3zm9/0LzoGAFCG1vZrlZWV6datW7Nff5Nmv+IGGjhwYAYMGJB+/frlJz/5SePxJ598MrW1tenXr1/jsd122y077rhjY8k5bty47Lnnno0FZ5L0798/Z599diZOnJiPfexjGTduXJNrrB3z6sfiX6umpiY1NTWNr6uqqpIktbW1qa2tfae3DAC0oJdfXpX+/Yc0FpxdulSkQ4eKglNBeaurK6W2tpTf/e6RHHfcbtlnn+2KjgQAlJmW7tQKLTmvv/76PPXUU3n88cfXOTd//vx07tw5W265ZZPjPXr0yPz58xvHvLrgXHt+7bk3G1NVVZVVq1Zl0003XeezL7vsslx66aXrHB89enQ222yz9b9BAGCjWr68LpdcMj0vvLAqW265SX7yk12y/fZdi44FZa9UKuWnP52RJ56oygknXJ9f/epD6dSpVax8BQCUiZUrV7bo9QsrOefMmZNzzz03I0eOTNeures3HxdddFEuuOCCxtdVVVXZYYcd0qdPH4+rA0ArtXRpdQ455Lq88MKqJMmqVfX5zneeLzgVtB1rV7maNas6N9ywOkOGHPUW7wAA+Le1T0q3lMJKzieffDILFy7M3nvv3Xisvr4+999/f/74xz/m7rvvzurVq7N06dImszkXLFiQnj17Jkl69uyZxx57rMl11+6+/uoxr92RfcGCBenWrdvrzuJMki5duqRLly7rHO/UqVM6deq04TcLALSoqqqaHHbYDXnyyXmNx2pqSklskgIt4aabJueUU17I4YfvWnQUAKBMtHSnVtgzJgcccECeeeaZjB8/vvHn4x//eE4++eTGv+7UqVNGjRrV+J4pU6Zk9uzZ6d27d5Kkd+/eeeaZZ7Jw4b83FRg5cmS6deuWXr16NY559TXWjll7DQCgvC1bVpNDDrk2jz76UtFRoF054YSbsnTpqqJjAAAkKXAm57ve9a7sscceTY5tvvnm2XrrrRuPn3766bnggguy1VZbpVu3bvnGN76R3r17Z999902SHHTQQenVq1dOOeWU/OIXv8j8+fNz8cUXZ+DAgY0zMc8666z88Y9/zHe/+9185StfyX333Zcbb7wxw4YN27g3DAA0u+XLV+fznx+Shx+eU3QUaHdWrarLgAFD8tBDpxcdBQCguJmc6+O3v/1tDj300Bx99NH53Oc+l549e+aWW25pPN+xY8fceeed6dixY3r37p0vfvGLOfXUU/Nf//VfjWPe//73Z9iwYRk5cmT22muv/PrXv85f//rX9O/fv4hbAgCayYoVqzNgwJA8+ODsoqNAu/Xwwy/mT3967K0HAgC0sIrS2hXEeUNVVVXp3r17Fi9ebOMhAGgFVq6szaGHDsno0TOLjgLt3iabdMj06d/IjjtuWXQUAKAVW9uvVVZWplu3bs1+/VY9kxMA4LVWrarNEUdcr+CEVqKuriH9+l2ThgZzJwCA4ig5AYCyUV1dlyOPvCH33vtC0VGAV5k69eV873v3Fh0DAGjHlJwAQFmoqanL0UffmLvvnl50FOB1/OpXD+fpp+cVHQMAaKeUnABAq7d6dX2OOWZo7rpratFRgDdQKiX9+/8jq1fXFx0FAGiHlJwAQKtWW1uf444bmjvvfD5JUlFRcCDgDS1atDJf+tKtRccAANohJScA0GrV1tbnxBNvzj//OSXJmoKzZG8TaNWuv35i7rrr+aJjAADtjJITAGiV6uoacvLJt+Tmm59LouCEcnLccTelqqqm6BgAQDui5AQAWp26uoaccsqtGTp0UhIFJ5SbFStqc9hhQ4qOAQC0I0pOAKBVqa9vyJe//M9cf/2zSRScUK7uv392/vKXJ4uOAQC0E0pOAKDVqK9vyOmn355//ONfSRScUO4GDrwrL71UVXQMAKAdUHICAK1CQ0MpX/3qHRk8eEKSpEMHBSeUu7q6hvTrd3VK/mUGAFqYkhMAKFxDQylnnXVn/va38UnWzOBsaCg2E9A8Jk9ekosvvq/oGABAG6fkBAAKVSqVcs45d+V//uepJB5Rh7bosssezL/+Nb/oGABAG6bkBAAKUyqV8s1vDs+f//xEEgUntFWlUnLQQf9IbW190VEAgDZKyQkAFKJUKuX88+/OH//4eBIFJ7R1CxasyOmn3150DACgjVJyAgAbXalUyne+MzK///2jSRSc0F5cc82/cs8904qOAQC0QUpOAGCjKpVKueiiUfn1r8clUXBCe3P00UOzbFlN0TEAgDZGyQkAbDSlUikXX3xfLr/8oSRJhw4VCk5oZ5YvX50jjri+6BgAQBuj5AQANppLLx2bn/3swSRrCs6GBg0ntEejR8/M3/72dNExAIA2RMkJAGwUP/7x2Fx66dgkSYcOUXBCO3fWWXdm3rxlRccAANoIJScA0OJ+9rMHcsklY5KsncFZbB6geLW1DenX75qUrFkBADQDJScA0KJ+8YuH8p//eV8Sj6gDTU2atKhxhjcAwDuxSdEBAIC2Z/r0lzNixLQMGzY1w4dPS6LgBF7ff/3X2BxzTK/ssce2RUcBAMqYkhMAeMdWrarN2LGzMnz4mlJz6tSXm5xXcAJvpFRKDjromsyadV46depYdBwAoEwpOQGADVYqlTJ16prZmsOHT8uYMTNTXV23zriKijUFhoITeDPz5i3P1752Z/72tyOKjgIAlCklJwCwXlasWJ0xY2Zm+PA1xeYLL7yyzpi1peZa9hMB1tff/z4+X/ziR9K37/uLjgIAlCElJwDwukqlUiZPXtw4W/P++2elpqZ+nXGvLjaVmsA7ceSR12fu3G9l8807Fx0FACgzSk4AoNHy5atz330zGtfWnDWrcp0xZmsCLaWqanWOOuqG3H33KUVHAQDKjJITANqxUqmUSZMWNT6C/sADs1Jb27DOOLM1gY3lnnteyNVXT8ipp+5VdBQAoIwoOQGgnamqqsmoUS9k+PBpGTFiWubMqVpnjNmaQJHOPPOO9O//gfTosUXRUQCAMqHkBIA2rlQq5ZlnFjY+gv7QQ3NSV2e2JtB6rV5dn4MOuibjx5+VioqKouMAAGVAyQkAbdDSpdW5994XMnz41IwYMT1z5y5bZ4zZmkBr9q9/LcxPf/pALr74c0VHAQDKgJITANqAUqmU8ePnN66tOW7cnNTXv3lrqdQEWrsf/nBMjjnmw9ltt22KjgIAtHJKTgAoUy+/vCojR07P8OHTcvfd0zN//vJ1xrx2tiZAOWloKOXAA6/JjBnnZZNNOhQdBwBoxZScAFAmGhpKeeqpeY1raz766EtpaDBbE2jbXnxxWb7+9WH5y18OKzoKANCKKTkBoBVbvHhl7rln7WzNaVm0aOU6Y8zWBNq6//mfp3LyyXtmv/12KjoKANBKKTkBoBWpr2/IE0/MbVxb8/HHX3rLAlPBCbQHRxxxfebO/VY226xT0VEAgFZIyQkABVu4cEXuvntNqXnPPdOzZMmqdcaYrQm0d5WVNTnmmBtz110nFx0FAGiFlJwAsJHV1zfk0UdfyvDhUzNixPQ88cTct3yPghMgGT58Wq677pmceOKeRUcBAFoZJScAbATz5y/PiBFrZmuOHDk9r7xSvc4YszUB3tqXv/zP9Ou3c7bZZvOiowAArYiSEwBaQF1dQ8aNm5Phw6dlxIhpefrp+euMeW2pqeAEeGs1NfXp3/8fefLJr6aioqLoOABAK6HkBIBm8tJLVRkxYlpGjJiekSOnp7KyZp0xry42lZoAb8/TT8/P5Zc/lO997zNFRwEAWgklJwC8TbW19XnooTmNa2v+618L1hljtiZAy/jP/7wvRx21Wz70ofcUHQUAaAWUnACwAebMqWx8BP3ee1/IsmWr1xljtiZAy2toKOXAA6/JCy+cm44dOxQdBwAomJITAN5ETU1dHnxwdmOxOXHionXGmK0JUIzZs6vyzW8Oz5/+NKDoKABAwZScAPAaM2cubXwEfdSoF7JiRe06Y8zWBGgdrrjiiZx88p751Kd2LDoKAFAgJScA7V51dV3uv39WRoyYluHDp2Xy5MXrjDFbE6D1GjDgusyde0E23bRT0VEAgIIoOQFol6ZPf7mx1Bw9emZWrjRbE6BcLV1aneOPvym3335i0VEAgIIoOQFoF1atqs3YsbMyfPjUDB8+LVOnvrzOGLM1AcrXHXc8n6FDJ+bYY3cvOgoAUAAlJwBtUqlUytSp/56tOWbMzFRX160zzmxNgLbjlFNuTd++78/WW29WdBQAYCNTcgLQZqxYsTqjR89sLDZfeOGVdcaYrQnQdtXU1Ofgg6/NY4+dkYqKiqLjAAAbkZITgLJVKpUyefLixlLz/vtnpaamfp1xZmsCtB9PPDE3v/nNuHzrW58qOgoAsBEpOQEoK8uXr859981oXFtz1qzKdcaYrQnQvl144b35whd2ywc+sFXRUQCAjUTJCUCrViqVMmnSogwfvma25gMPzEptbcM648zWBGCt+vpS+vW7JtOmfSMdO3YoOg4AsBEoOQFodaqqajJq1AsZPnxaRoyYljlzqtYZY7YmAG9m5sylueCCe/L73x9cdBQAYCNQcgJQuFKplGeeWdj4CPpDD81JXZ3ZmgC8M3/4w6M56aQ988lP/kfRUQCAFqbkBKAQS5dW5957X8jw4VMzYsT0zJ27bJ0xZmsC8E59/vPX5qWXLkjXrn7rAwBtmf/TA7BRNDSUMmHC/Ma1NceNm5P6+jdvLZWaALxTL7+8KieffHNuvvn4oqMAAC1IyQlAi3n55VUZOXJ649qaCxasWGfMa2drAkBzu+WWybn11udy5JEfLjoKANBClJwANJuGhlKeempe49qajz76UhoazNYEoHgnn3xLXnzx/Gy11WZFRwEAWoCSE4B3ZPHilbnnnjWzNe++e1oWLVq5zhizNQEo2qpVdRkw4LqMG3d60VEAgBag5ARgg9TXN+SJJ+Y2rq35+OMvvWWBqeAEoDV45JEX84c/PJpvfvOTRUcBAJqZkhOAt7Rw4YrcffeaUvOee6ZnyZJV64wxWxOAcnDBBXfn8MM/lJ12enfRUQCAZqTkBGAd9fUNefTRlzJ8+NSMGDE9Tzwx9y3fo+AEoBzU15fSr981ef75b6RDh4qi4wAAzUTJCUCSZP785RkxYs1szZEjp+eVV6rXGWO2JgBtwfTpr+Q737knv/51/6KjAADNRMkJ0E7V1TVk3Lg5jWtrjh8/f50xry01FZwAtBW//e0jOfHEPfLxj/9H0VEAgGag5ARoR6qr6zJixLTcdNOk3Hnn86msrFlnzKuLTaUmAG1VqZQccsiQvPji+enSxW+LAKDc+b85QBu3alVthg9fU2zeccfzWb58dZPzZmsC0F4tXrwyp556a2644diiowAA75CSE6ANWrmyNnfdNbVxxuaKFbVNzputCQBr3HjjpHzxi1Ny2GG7Fh0FAHgHlJwAbcSKFaszbNiaYnPYsKlZuVKxCQDr44QTbs5LL52fLbfctOgoAMDbpOQEKGPLl6/OsGHPZ+jQSbnrrqlZtaquyXnFJgC8tZUra3PoodflwQe/UnQUAOBtUnIClJlly2py551ris3hw6elulqxCQDv1EMPzckVVzyer3/9/xUdBQB4G5ScAGWgqqomd9wxJUOHTsqIEdNSU1Pf5LxiEwDeuXPPHZFDD/1gdtxxy6KjAAAbSMkJ0EotXVrdWGzefff0rF6t2ASAllRX15ADD7wmzz13Tjp0qCg6DgCwAZScAK3IK6+syu23ryk277lnemprG5qcV2wCQMt6/vmX8/3vj8rPf96v6CgAwAZQcgIU7OWXV+Wf/5ycoUMn5d57X1BsAkDBfvGLh3L88bvnYx97b9FRAID1pOQEKMCSJStz221ris1Ro2akrk6xCQCtRamUHHzwPzJnzgXp3Llj0XEAgPWg5ATYSBYvXplbb30uQ4dOyn33zUh9fdP2UrEJAK3HwoUrc9ppt2XIkKOLjgIArAclJ0ALWrhwRWOxOWbMTMUmAJSR6657Nqec8pEccsgHi44CALwFJSdAM1uwYHluuWVNsTl27Kw0NCg2AaBcHXvs0Myd+61069al6CgAwJtQcgI0g3nzljUWm/ffP2ud8lKxCQDlacWK2hx++HUZM+a0oqMAAG9CyQnwNs2duyw33zwpQ4dOyoMPzlZsAkAbNXbsrPzlL0/mq1/dp+goAMAbUHICbIAXX6xqLDYffniOYhMA2omBA+/KgAEfzH/8R7eiowAAr0PJCfAW5sypzE03rSk2x417cZ3zik0AaPvq6hrSr981mTTp66moqCg6DgDwGkpOgNcxa9bSxmLz0UdfWue8YhMA2p/JkxfnkktG58c/7lt0FADgNZScAP9nxoxXGovNxx+fu855xSYA8NOfPpDjjts9e+7Zo+goAMCrKDmBdu2FF17J0KETM3TopDz55Lx1zis2AYBXK5WSgw66Jldeeejrnlv32LoH3+jXFOs79vXG+fy2+fmdOnXMhz60dfbYY9u85z2bvf4bAUii5ATaoWnTXm4sNp9+ev465xWbAMCbmT9/Rb7whRuKjkE7s/XWm+YjH+mRPfbYNnvssW12332b7L77ttlyy65FRwNoFZScQLvw/PNLGovNCRMWrHNesQkAlItX/7rltcdpe9b+s16yZFVGj56Z0aNnNjnfs+cW/1d+bvN/5ee26dVrm2yxReeNHxagQEpOoM2aPHlxhg6dmJtuei7/+te6xearKTYBgHLxxo87b9wcFOfVRff8+cszf/7y3HPP9CZjdtihW/baq0d23/3fMz932+092XTTTgUkBmh5Sk6gTZk0aVFjsfnsswuLjgMAAM3ujQrtV5efc+ZUZc6cqtx559TG8x06VGSnnbZsnPm5tgD90Ie2TufOHTdCcoCWo+QEylqpVMrEif8uNidNWlR0JAAAKMRblZ8NDaW88MIreeGFV3LbbZMbz3fsWJFddtmqcc3P3Xdf8+j7Bz6wVTbZpMNGSg/wzlSU3mhrOBpVVVWle/fuWbx4cbbeeuui40C7VyqV8swzC3PTTZMydOikTJ68uOhIAABQdt5ofde1OnXqkN12e0/23LPpzM+ddtoyHTpYBBbYMGv7tcrKynTr1q3Zr28mJ1AWSqVSJkxY0FhsPv/8kqIjAQBAWXurmZ+1tQ155pmFeeaZpstAde26SXr12iZ77rltk5mf22/fLRV2wAIKouQEWq1SqZSnn57fWGxOm/Zy0ZEAAKDNe6vnPaur6/LUU/Py1FPzmhzfYovO2X33NeXnqzc86tlzC+Un0OKUnECrUiqV8uST8xqLzRdeeKXoSAAAwHpYvnx1Hn30pTz66EtNjnfv3iV77rlt9tyzR+Osz9133zbvec9mBSUF2iIlJ1C4UqmUxx+fm5tumpSbbpqUGTOWFh0JAABoJpWVNXnwwTl58ME5TY6/5z2b/V/52XTmZ/fuXQtKCpQzJSdQiFKplEcffamx2Jw1q7LJ+bdaBB0AAChvixevzOjRMzN69Mwmx3v23CJ77dV01mevXttkiy06FxMUKAtKTmCjaWgo5ZFHXmwsNufMqWpy/tXFpoITAADaj1f/XmD+/OWZP3957r57epMxO+zQ7f/Kz3/P+txtt/dk0007FZAYaG2UnECLamgo5eGH5zQWmy+9tKzJecUmAADwVju9J8mcOVWZM6cqd945tfF8hw4V2WmnLdeZ+fmhD22dzp07boTkQGuh5ASaXX19Qx5+eE6GDp2Um29+LnPnKjYBAIAN91blZ0NDKS+88EpeeOGV3Hrr5MbzHTtWZJddtspee/V8Vfm5TT7wga2yySYdNlJ6YGNScgLNor6+IQ8+OLux2Jw/f3mT84pNAACgubxV+VlfX8qUKUsyZcqSJuc7d+6YXXfdOnvu2SN77LFN46PvO+20ZTp0qNgIyYGWouQE3ra6uoY88MCsDB06Kbfc8lwWLFjR5LxiEwAA2Jjeqvxcvbo+zzyzMM88s7DJ+a5dN0mvXttkzz3/vd7nHntsm+2375aKCuUnlAMlJ7BB6uoaMnbszMZic9GilU3OKzYBAIDW5q1+b1JdXZennpqXp56a1+T4Flt0zh57rCk81673ucce26ZHj82Vn9DKFLoQxZ///Od85CMfSbdu3dKtW7f07t07w4cPbzxfXV2dgQMHZuutt84WW2yRo48+OgsWLGhyjdmzZ2fAgAHZbLPNsu222+Y73/lO6urqmowZM2ZM9t5773Tp0iW77LJLBg0atDFuD9qM2tr6jBw5PV/96h1573t/nX79rslVVz3ZWHC++v/tik0AAKCtWL58dR555KX89a9P57zz7s6BB16T977313n3uy/P5z7393z968NyxRWPZ+zYmVm8eOVbXxBoMYXO5Nx+++3z85//PB/84AdTKpUyePDgHHHEEXn66aez++675/zzz8+wYcMydOjQdO/ePeecc06OOuqoPPTQQ0mS+vr6DBgwID179szDDz+cefPm5dRTT02nTp3ys5/9LEkyY8aMDBgwIGeddVauvfbajBo1KmeccUbe+973pn///kXePrRqtbX1ue++GRk6dFJuu21ylixZ1eS8GZsAAEB7VVlZkwcemJ0HHpjd5Ph73rNZ9txz2+y5579nfe6++zbp3r1rQUmh/agolVpXPbHVVlvll7/8ZY455phss802GTJkSI455pgkyeTJk/PhD38448aNy7777pvhw4fn0EMPzdy5c9OjR48kyZVXXpkLL7wwixYtSufOnXPhhRdm2LBhefbZZxs/44QTTsjSpUszYsSI9cpUVVWV7t27Z/Hixdl6662b/6ahlVi9uj6jRr3QWGy+8kp1k/OvLjYBAABYP+997xb5yEd6NFnvs1evbbL55p2LjgYbzdp+rbKyMt26dWv267eaNTnr6+szdOjQrFixIr17986TTz6Z2tra9OvXr3HMbrvtlh133LGx5Bw3blz23HPPxoIzSfr375+zzz47EydOzMc+9rGMGzeuyTXWjjnvvPPeMEtNTU1qamoaX1dVVSVJamtrU1tb20x3DK1DTU1dRo2amZtvfi533PF8li6taXK+U6eKVFQkHTrEmjMAAABvoFQqpVRKGhpe+9fJvHnLM2/e8tx99/Qm79lhh27/N+tzm/TqtU12332b7Lbb1unatdXUNdBsWrpTK/zfmmeeeSa9e/dOdXV1tthii9x6663p1atXxo8fn86dO2fLLbdsMr5Hjx6ZP39+kmT+/PlNCs6159eee7MxVVVVWbVqVTbddNN1Ml122WW59NJL1zk+evTobLbZZm/7XqG1WL26IePHL8vDDy/NY49VZuXKhsZzW265SXr33jKf+lT39Oq1RTp2VGwCAAC8XcuX1+XFF2sya9aqzJlTnVmzqjNnTnWWLq3LnDlVmTOnKnfdNa1xfIcOSc+eXbLjjl0bf3bYoWu2265LOnUqdGsVeEdWrmzZdWsLLzl33XXXjB8/PpWVlbnpppvypS99KWPHji0000UXXZQLLrig8XVVVVV22GGH9OnTx+PqlK3q6rrcc88Lufnm53LnnVOzbNnqJufXztisrq7PmDEvZ8yYlwtKCgAA0PZ17VrRONOzoWHNumD19Wtmf86dW5O5c2vyyCOVjeM7dqzILrtslT333Da9er2ncfbnBz7w7myyifKT1m/tk9ItpfCSs3Pnztlll12SJPvss08ef/zx/P73v8/xxx+f1atXZ+nSpU1mcy5YsCA9e/ZMkvTs2TOPPfZYk+ut3X391WNeuyP7ggUL0q1bt9edxZkkXbp0SZcuXdY53qlTp3Tq1Ont3SgUYNWq2owYMS1Dh07KHXc8n+XLmxabr15js7b21YttWngTAACgNVj7+7b6+lKmTFmSKVOWNDnfuXPH7Lrr1vnIR3o0rve5++7bZqedtkyHDp7Mo/Vo6U6tWUrO1xaR70RDQ0Nqamqyzz77pFOnThk1alSOPvroJMmUKVMye/bs9O7dO0nSu3fv/PSnP83ChQuz7bbbJklGjhyZbt26pVevXo1j7rrrriafMXLkyMZrQFuzcmVthg+fmqFDJ+XOO5/PihVN17ywKzoAAED5eKPft639vd3q1fV55pmFeeaZhU3Od+26SXr12uY15ec22X77bvZboE3a4JLz8ssvz0477ZTjjz8+SXLcccfl5ptvTs+ePXPXXXdlr732Wu9rXXTRRTnkkEOy4447ZtmyZRkyZEjGjBmTu+++O927d8/pp5+eCy64IFtttVW6deuWb3zjG+ndu3f23XffJMlBBx2UXr165ZRTTskvfvGLzJ8/PxdffHEGDhzYOBPzrLPOyh//+Md897vfzVe+8pXcd999ufHGGzNs2LANvXVotVasWJ277lpTbA4bNjUrVyo2AQAA2rK3+r1ddXVdnnpqXp56al6T41ts0Tl77LFt9tjj37M+99qrR7bZZvMWTAstr6JU2rDK4/3vf3+uvfbafOpTn8rIkSNz3HHH5YYbbsiNN96Y2bNn55577lnva51++ukZNWpU5s2bl+7du+cjH/lILrzwwhx44IFJkurq6nzrW9/Kddddl5qamvTv3z9XXHFF46PoSTJr1qycffbZGTNmTDbffPN86Utfys9//vNsssm/+9sxY8bk/PPPz6RJk7L99tvnBz/4QU477bT1zrl2i/vFixdbk5NWY/ny1Rk27PkMHTopd901NatW1TU5/+piEwAAAN7IJptU5KqrDstXvvKxoqPQhq3t1yorK9OtW7dmv/4Gl5ybbrppnn/++eywww4599xzU11dnauuuirPP/98PvnJT+aVV15p9pBFU3LSWixbVpM773w+N930XO66a2qqqxWbAAAAvHMdOlRkwoSzssce2xYdhTaqpUvODX5c/d3vfnfmzJmTHXbYISNGjMhPfvKTJEmpVEp9fX2zB4T2rqqqJnfcMSU33fRchg+fmpqapv+eeRQdAACAd6qhoZS+fQdn9uzz07Vr4ftUwwbb4G/tUUcdlZNOOikf/OAHs2TJkhxyyCFJkqeffrpxl3TgnamsrM7tt68pNu++e5piEwAAgBa3aNHKHHPMjbnzzpOKjgIbbINLzt/+9rfZaaedMmfOnPziF7/IFltskSSZN29evv71rzd7QGgPlixZmaefnp+nn56X+++fnXvumZ7VqxWbAAAAbFzDhk3N//zPkznzzH2KjgIbZIPX5GyPrMlJcymVSnnxxao8/fT8PPXUvMZic86cqtcdb41NAAAANraOHSsyZco5+cAHtio6Cm1Iq1mT8+tf/3qTmZvXXXddDj/88Gy++eZJkqVLl+akk07KXXfd1ewhoRw1NJQydeqSdQrNJUtWveF7XltqKjgBAADY2OrrS9lvv0GZMePcdOrUseg4sF7WeyZnx44dM2/evGy77Zpdtrp165bx48dn5513TpIsWLAg2223XZvcfMhMTt5KTU1dJk5clKefXltmzs+ECfOzYkXtG77HLE0AAABasxNO2D3XXXdM0TFoI1rNTM7XdqGecqe9WrasJhMmLGhSaE6cuDC1tQ1v+J4OHZKG15z2rxAAAACt2fXXT8wRR+yaE07Ys+go8JY2eOMhaE8WLVrR+Jj52kJz6tQlb1pQvt4MzdcWnAAAAFAOTj31tnzmM+/L9ts3/8w7aE5KTsiamclz5lT939qZ/y40X3zx9TcEWuv1Ck0zNAEAAGgramsbsv/+gzJlyjnp2LFD0XHgDW1QyXnJJZdks802S5KsXr06P/3pT9O9e/ckycqVK5s/HbSA+vqGPP/8knVmaL788vpvCLSWQhMAAIC2bvr0V3L22cPyl78cVnQUeEPrvfHQ/vvvn4qKirccN3r06HccqrWx8VD5qqmpy7PPLmxSaE6YsCArV9oQCAAAADbEnXeemAEDPlR0DMpUS288tN4lZ3um5CwPy5bVZPz4+Y0zM59+el4mTlyUuro3XhBToQkAAADrp2vXTTJ79nnZZpvNi45CGWo1u6t/+9vfzhlnnJHddtut2UPAhlq4cEWTR82ffnpepk59+U3fY/1MAAAAePuqq+vSt+/VmTDhrHTo8NZP+8LGtN4zOT/4wQ/mhRdeyCc/+cmcccYZOf7447P55u2juTeTszilUimzZlWuU2i+9NKyoqMBAABAu3TBBb3z618fVHQMykyrelz9/vvvz9/+9rfcfPPNSZJjjz02Z5xxRj71qU81e7DWRMm5cdTXN2TKlCXrFJqvvFL9hu/xuDkAAABsfGPGfCn77bdT0TEoI62q5FxrxYoVueGGG/L3v/89Dz30UHbdddecfvrpOeWUU9KjR49mD1k0JWfzq65euyHQvwvNCRPmZ9Wqujd8j0ITAAAAWocttuicF188P927dy06CmWiVZacrzZt2rT8/e9/z5VXXpnly5enpqamubK1GkrOd6aqau2GQGsKzaeempfnnlv8phsCdeiQNLzxaQAAAKBgn/jEf+SRR05PRYX1OXlrrWbjodezYsWKPPDAAxk7dmxeeeWV7Lrrrs2VizK1YMHyxsfM1xaa06e/8qbveb0ZmgpOAAAAaN0ee+yl/PjH9+eSS/YrOgq8vZLzwQcfzN/+9rfcdNNNKZVKOfbYY3P55Zfn05/+dHPno5UqlUqZOXNpY5G5tticN2/527hWCwQEAAAAWtyPfjQmn//8B/Pxj29XdBTaufUuOefNm5fBgwdn0KBBef7557PvvvvmN7/5TU444YRsscUWLZmRgtXVNWTKlMVNCs3x4+dn6VIbAgEAAEB7ViolBx54TV588fxsvnnnouPQjq13ybnDDjtk6623zimnnJLTTz89H/7wh1syFwWprq7LM88seNXszPn5178WpLp6wzYEUnACAABA+7B0aXUOP/y6jBr1paKj0I6td8l544035vDDD88mm7yjZTxpRSorqzN+/PwmheZzzy1Kff0bN5QKTQAAAOC17rtvZn7720dy/vn7Fh2Fdmq9d1efO3dufvOb3+SSSy5ZZwekysrK/OQnP8m3v/3t9OjRo0WCFqkt7K4+f/7y/ysz/11ovvDChm8IBAAAAPB6OnSoyL/+dVZ2333boqPQCrWa3dV/85vfpKqq6nVDdO/ePcuWLctvfvObXH755c0akA1TKpUyY8bSdQrN+fPffEMgMzQBAACAd6KhoZS+fa/OrFnnpWtXTwKzca33N27EiBG58sor3/D8qaeemjPPPFPJuRHV1TXkuecWNe5svnZDoMrKmjd8zxvNzlRoAgAAAO/UwoUrcvzxQ/PPf55YdBTamfUuOWfMmJEdd9zxDc9vv/32mTlzZnNk4nWsWlWbf/1rQZNC85lnFtoQCAAAAGhVbr/9+fztb0/lK1/Zu+gotCPrXXJuuummmTlz5hsWnTNnzsymm27abMHas6VLq5s8av700/MyefJiGwIBAAAAZeFrXxuW/fffKTvvvFXRUWgn1rvk/OQnP5lrrrkmn/vc5173/NVXX51PfOITzRasvZg3b1mT3c2ffnpeZsxY+qbvUWgCAAAArVldXUP2339wpk//Zjp16lh0HNqB9S45v/3tb+fAAw9M9+7d853vfKdxF/UFCxbkF7/4RQYNGpR77rmnxYKWu4aGUl544ZV1ZmguWLDiTd+n0AQAAADK0Zw5Vfnyl/+Zf/zjqKKj0A5UlErrX5ldddVVOffcc1NbW5tu3bqloqIilZWV6dSpU37729/m7LPPbsmshVm7xf3ixYuz9dZbv+X42tr6PPfc4iaF5vjx81NVteEbAgEAAACUsxtuOCbHHbd70TEo2Np+rbKyMt26dWv2629QyZkkL730Um688cZMmzYtpVIpH/rQh3LMMcdk++23b/ZwrcWblZwrV67dEOjfheYzzyxITU39G15PoQkAAAC0F507d8yMGd/Mdts1f7FF+Wh1JWd7tPYfwrRpczJrVm1jofnUU/MyZcqSNDRs2IZAAAAAAO3JBz+4VZ57bmA6duxQdBQK0tIl53qvyUmyyy5/StL1Dc9bPxMAAABgXVOnvpxzzrkrf/7zoUVHoY1Sn78NFRVrfl5LoQkAAADw+q688skMHz616Bi0UUrODdCly5pms1RSaAIAAABsqKOPvjGLF68oOgZtkJJzA1S83vRNAAAAANbLqlV16dv36tgihua2wSXnJZdcktGjR6e6urol8gAAAADQhj3zzMJceOG9RcegjdngknPcuHE57LDDsuWWW+azn/1sLr744tx7771ZtWpVS+QDAAAAoI355S8fzgMPzCo6Bm3IBpecI0eOzNKlSzNq1Kh8/vOfzxNPPJGjjjoqW265ZT7zmc+0REYAAAAA2pgBA4akstKTwjSPTd7WmzbZJJ/+9KezzTbbZKuttsq73vWu3HbbbZk8eXJz5wMAAACgDVq2bHUOPvjaPPzwV+yDwju2wTM5//KXv+Skk07Kf/zHf+RTn/pURowYkc985jN54oknsmjRopbICAAAAEAb9MgjL+anP32g6Bi0ARWlDdzOqkOHDtlmm23yrW99K1//+tezxRZbtFS2VqOqqirdu3dP167fT3V156LjAAAAALQZFRXJE0+cmb333q7oKLSgtf1aZWVlunXr1uzX3+CZnLfccktOPvnkXH/99dlmm23yqU99Kt///vdzzz33ZOXKlc0eEAAAAIC2q1RKDjzwH1m5srboKJSxDZ7J+WqVlZV54IEHMnTo0Fx33XXp0KFDqqvb3oKxZnICAAAAtKx+/d6fkSNPLToGLaSlZ3K+rY2HlixZkrFjx2bMmDEZM2ZMJk6cmHe/+9357Gc/29z5AAAAAGgH7r13Rv77vx/NN77xyaKjUIY2uOTcc88989xzz+Xd7353Pve5z+XMM8/Mfvvtl4985CMtkQ8AAACAduK88+5Ov34758Mf3qboKJSZDS45zzrrrOy3337ZY489WiIPAAAAAO1UQ0MpffsOzsyZ56VLl7f1ADLt1AZvPDRw4MDsscceWb16daZMmZK6urqWyAUAAABAOzR//oqccMJNRcegzGxwyblq1aqcfvrp2WyzzbL77rtn9uzZSZJvfOMb+fnPf97sAQEAAABoX267bUoGDRpfdAzKyAaXnN/73vcyYcKEjBkzJl27dm083q9fv9xwww3NGg4AAACA9unMM+/IzJlLi45BmdjgkvO2227LH//4x3zmM59JRUVF4/Hdd98906dPb9ZwAAAAALRPdXUN2X//Qamrayg6CmVgg0vORYsWZdttt13n+IoVK5qUngAAAADwTsyaVZmvfOWfRcegDGxwyfnxj388w4YNa3y9ttj861//mt69ezdfMgAAAADavWuu+VduuWVS0TFo5TbZ0Df87Gc/yyGHHJJJkyalrq4uv//97zNp0qQ8/PDDGTt2bEtkBAAAAKAdO+mkWzJz5g7p2fNdRUehldrgmZyf+cxnMn78+NTV1WXPPffMPffck2233Tbjxo3LPvvs0xIZAQAAAGjHamrqs99+g9PQUCo6Cq1URalU8u14C1VVVenevXu6dv1+qqs7Fx0HAAAAoF36+tc/nj/9aUDRMXgb1vZrlZWV6datW7Nff4NncgIAAABAEa644oncc8/0omPQCq13ydmhQ4d07NjxTX822WSDl/gEAAAAgPV25JE3ZMmSlUXHoJVZ71by1ltvfcNz48aNyx/+8Ic0NDQ0SygAAAAAeD0rV9amX7+r89RTX0tFRUXRcWgl1rvkPOKII9Y5NmXKlHzve9/LHXfckZNPPjn/9V//1azhAAAAAOC1xo9fkO9/f1Quu6xf0VFoJd7Wmpxz587NmWeemT333DN1dXUZP358Bg8enPe9733NnQ8AAAAA1nH55Q/loYfmFB2DVmKDSs7KyspceOGF2WWXXTJx4sSMGjUqd9xxR/bYY4+WygcAAAAA6yiVks9//tosW1ZTdBRagfUuOX/xi19k5513zp133pnrrrsuDz/8cD772c+2ZDYAAAAAeENVVTU55JBrUyqVio5CwSpK6/kt6NChQzbddNP069cvHTt2fMNxt9xyS7OFay2qqqrSvXv3dO36/VRXdy46DgAAAACv8rOfHZCLLvpM0TF4E2v7tcrKynTr1q3Zr7/eGw+deuqpdqwCAAAAoNX5z/8clYMP/kA+9rH3Fh2Fgqz3TM72zExOAAAAgNZt6603zezZ52ezzToVHYXX0dIzOd/W7uoAAAAA0JosWbIqRx55fdExKIiSEwAAAIA24Z57Xsif/vRY0TEogJITAAAAgDbj3HNHZMqUxUXHYCNTcgIAAADQZtTXl9Knz+CsXl1fdBQ2IiUnAAAAAG3KvHnLc9JJNxcdg41IyQkAAABAm3Pzzc/lmmsmFB2DjUTJCQAAAECbdPrpt2fWrKVFx2AjUHICAAAA0CbV1jZk//0Hpa6uoegotDAlJwAAAABt1syZlTnjjNuLjkELU3ICAAAA0KYNHjwht946uegYtCAlJwAAAABt3okn3pT585cVHYMWouQEAAAAoM2rqalPnz6D09BQKjoKLUDJCQAAAEC7MHnykpx33oiiY9AClJwAAAAAtBv//d+P5d57pxcdg2am5AQAAACgXTniiBuyZMnKomPQjJScAAAAALQrK1fW5sADr0mpZH3OtkLJCQAAAEC78/TT83PxxaOLjkEzUXICAAAA0C5ddtkDGTduTtExaAZKTgAAAADapVIpOfjga7NsWU3RUXiHlJwAAAAAtFtVVTUZMGCI9TnLnJITAAAAgHbtgQdm55e/fLjoGLwDSk4AAAAA2r2LLhqVCRMWFB2Dt0nJCQAAAEC719BQSr9+V2fVqtqio/A2KDkBAAAAIMnixStz1FE3Fh2Dt0HJCQAAAAD/Z8SIabnyyieKjsEGUnICAAAAwKucc85def75JUXHYAMoOQEAAADgVerrS+nTZ3BWr64vOgrrSckJAAAAAK8xd+6yfPGLtxQdg/Wk5AQAAACA1zF06KRce+2/io7BelByAgAAAMAb+PKX/5k5cyqLjsFbUHICAAAAwBuorW3IfvsNSl1dQ9FReBNKTgAAAAB4EzNmLM3XvnZn0TF4E0pOAAAAAHgLf/vb07n99slFx+ANKDkBAAAAYD0cd9xNWbBgedExeB1KTgAAAABYDzU19enbd3AaGkpFR+E1lJwAAAAAsJ4mTVqcb33r7qJj8BpKTgAAAADYAL/73aO5774ZRcfgVZScAAAAALCBDj/8uixdWl10DP5PoSXnZZddlv/3//5f3vWud2XbbbfNF77whUyZMqXJmOrq6gwcODBbb711tthiixx99NFZsGBBkzGzZ8/OgAEDstlmm2XbbbfNd77zndTV1TUZM2bMmOy9997p0qVLdtlllwwaNKilbw8AAACANmrFitoceODVKZWsz9kaFFpyjh07NgMHDswjjzySkSNHpra2NgcddFBWrFjROOb888/PHXfckaFDh2bs2LGZO3dujjrqqMbz9fX1GTBgQFavXp2HH344gwcPzqBBg3LJJZc0jpkxY0YGDBiQPn36ZPz48TnvvPNyxhln5O67rZ8AAAAAwNvzxBPz8sMfjik6BkkqSq2obl60aFG23XbbjB07Np/73OdSWVmZbbbZJkOGDMkxxxyTJJk8eXI+/OEPZ9y4cdl3330zfPjwHHrooZk7d2569OiRJLnyyitz4YUXZtGiRencuXMuvPDCDBs2LM8++2zjZ51wwglZunRpRowY8Za5qqqq0r1793Tt+v1UV3dumZsHAAAAoOxUVCQPP3x69t13+6KjtGpr+7XKysp069at2a+/SbNf8R2orKxMkmy11VZJkieffDK1tbXp169f45jddtstO+64Y2PJOW7cuOy5556NBWeS9O/fP2effXYmTpyYj33sYxk3blyTa6wdc955571ujpqamtTU1DS+rqqqSpJsummHVFRYxhQAAACgvSuVSlm9upSGhuSQQ/6RF174RrbYwuS4N1JbW9ui1281JWdDQ0POO++8fPrTn84ee+yRJJk/f346d+6cLbfcssnYHj16ZP78+Y1jXl1wrj2/9tybjamqqsqqVauy6aabNjl32WWX5dJLL10n45/+1CubbbbZ279JAAAAANqMqqq6nH/+lCxZUpOjj/7fnHvu+4qO1GqtXLmyRa/fakrOgQMH5tlnn82DDz5YdJRcdNFFueCCCxpfV1VVZYcddsjAgZM8rg4AAABAo/r6NStBjh79Sg455GM577x9C07UOq19UrqltIqS85xzzsmdd96Z+++/P9tv/+/1C3r27JnVq1dn6dKlTWZzLliwID179mwc89hjjzW53trd11895rU7si9YsCDdunVbZxZnknTp0iVdunRZ5/iqVQ2prm54ezcJAAAAQJv2ve+NzsEH75o999y26CitTqdOnVr0+oUuMFkqlXLOOefk1ltvzX333Zf3v//9Tc7vs88+6dSpU0aNGtV4bMqUKZk9e3Z69+6dJOndu3eeeeaZLFy4sHHMyJEj061bt/Tq1atxzKuvsXbM2msAAAAAwDvV0FDKAQcMTnV1XdFR2p1CS86BAwfmH//4R4YMGZJ3vetdmT9/fubPn59Vq1YlSbp3757TTz89F1xwQUaPHp0nn3wyX/7yl9O7d+/su++aqb8HHXRQevXqlVNOOSUTJkzI3XffnYsvvjgDBw5snI151lln5YUXXsh3v/vdTJ48OVdccUVuvPHGnH/++YXdOwAAAABtz6JFK3PMMTcWHaPdqSiVSqXCPryi4nWP//3vf89pp52WJKmurs63vvWtXHfddampqUn//v1zxRVXND6KniSzZs3K2WefnTFjxmTzzTfPl770pfz85z/PJpv8+2n8MWPG5Pzzz8+kSZOy/fbb5wc/+EHjZ7yVtVvcd+36fWtyAgAAAPCWrrrq0Hz1q/sUHaPVWNuvVVZWplu3bs1+/UJLznKh5AQAAABgQ3TsWJHJkwdml122LjpKq9DSJWehj6sDAAAAQFtUX1/K/vsPTm1tfdFR2gUlJwAAAAC0gJdeWpZTTrm16BjtgpITAAAAAFrIDTdMzPXXP1N0jDZPyQkAAAAALejUU2/Liy9WFR2jTVNyAgAAAEALqq1tyP77D0p9fUPRUdosJScAAAAAtLDp01/J2WcPKzpGm6XkBAAAAICN4H/+56kMG/Z80THaJCUnAAAAAGwkxxwzNAsXLi86Rpuj5AQAAACAjaS6ui59+16dhoZS0VHaFCUnAAAAAGxEEycuyne+c0/RMdoUJScAAAAAbGS/+c0jGTNmZtEx2gwlJwAAAAAU4LDDrktlZXXRMdoEJScAAAAAFGD58tU56KBrUipZn/OdUnICAAAAQEEee2xu/uu/xhYdo+wpOQEAAACgQJdeOjZPPDG36BhlTckJAAAAAAUqlZIDD7wmK1asLjpK2VJyAgAAAEDBli6tzmGHXVd0jLKl5AQAAACAVmD06Jn57W8fKTpGWVJyAgAAAEAr8e1v35OJExcWHaPsKDkBAAAAoJVoaCilb9+rU11dV3SUsqLkBAAAAIBWZOHCFTnuuKFFxygrSk4AAAAAaGXuuOP5/O//PlV0jLKh5AQAAACAVuiss4blhRdeLjpGWVByAgAAAEArVFfXkP33H5za2vqio7R6Sk4AAAAAaKXmzKnKl750W9ExWj0lJwAAAAC0Ytdd92xuvHFi0TFaNSUnAAAAALRyp5xya+bOrSo6Rqul5AQAAACAVm716vrst9/g1Nc3FB2lVVJyAgAAAEAZmDbt5QwceFfRMVolJScAAAAAlImrrnoyw4dPLTpGq6PkBAAAAIAycvTRN2bx4hVFx2hVlJwAAAAAUEZWrapL375Xp1QqFR2l1VByAgAAAECZeeaZhbnwwpFFx2g1lJwAAAAAUIZ++ctxeeCBWUXHaBWUnAAAAABQpgYMGJLKyuqiYxROyQkAAAAAZWrZstU5+OB/tPv1OZWcAAAAAFDGHnnkpfz0pw8UHaNQSk4AAAAAKHOXXDI6Tz01t+gYhVFyAgAAAECZK5WSAw/8R1aurC06SiGUnAAAAADQBrz88qocccR1RccohJITAAAAANqIe++dkT/84ZGiY2x0Sk4AAAAAaEPOP/+eTJq0qOgYG5WSEwAAAADakIaGUvr2HZyamrqio2w0Sk4AAAAAaGMWLFiRE064qegYG42SEwAAAADaoNtum5JBg8YXHWOjUHICAAAAQBt15pl3ZMaMV4qO0eKUnAAAAADQRtXVNWT//Qenrq6h6CgtSskJAAAAAG3Y7NmV+cpX/ll0jBal5AQAAACANu6aa/6Vm2+eVHSMFqPkBAAAAIB24KSTbsm8ecuKjtEilJwAAAAA0A6sXl2f/fcfnIaGUtFRmp2SEwAAAADaieefX5JvfOOuomM0OyUnAAAAALQjV1zxRO65Z3rRMZqVkhMAAAAA2pkjj7whS5asLDpGs1FyAgAAAEA7s3JlbQ444OqUSm1jfU4lJwAAAAC0QxMmLMj3vz+q6BjNQskJAAAAAO3U5Zc/lIceml10jHdMyQkAAAAA7VSplBxyyLWpqqopOso7ouQEAAAAgHZs2bLVOeSQf5T1+pxKTgAAAABo5x5++MX8/OcPFh3jbVNyAgAAAAD5z/+8L08/Pa/oGG+LkhMAAAAASKmUHHjgNVm5srboKBtMyQkAAAAAJEmWLFmVI4+8vugYG0zJCQAAAAA0uueeF/KnPz1WdIwNouQEAAAAAJo499wRmTJlcdEx1puSEwAAAABoor6+lP33H5yamrqio6wXJScAAAAAsI7585fnpJNuLjrGelFyAgAAAACv65ZbJueaayYUHeMtKTkBAAAAgDf0la/cnlmzlhYd400pOQEAAACAN1RX15D99huUurqGoqO8ISUnAAAAAPCmZs2qzBln3F50jDek5AQAAAAA3tLgwRNy662Ti47xupScAAAAAMB6OfHEmzJ//rKiY6xDyQkAAAAArJeamvr06TM4DQ2loqM0oeQEAAAAANbb5MlLcu65I4qO0YSSEwAAAADYIH/842O5997pRcdopOQEAAAAADbYEUfckCVLVhYdI4mSEwAAAAB4G1aurM2BB16TUqn49TmVnAAAAADA2/L00/Nz8cWji46h5AQAAAAA3r7LLnsgDz88p9AMSk4AAAAA4G0rlZJDDrk2y5bVFJZByQkAAAAAvCNVVTX5/OevLWx9TiUnAAAAAPCOPfjgnPziFw8V8tlKTgAAAACgWXz/+/dlwoQFG/1zlZwAAAAAQLNoaCjlgAMGZ9Wq2o36uUpOAAAAAKDZLFmyKkcddeNG/UwlJwAAAADQrEaMmJYrr3xio32ekhMAAAAAaHbnnHNXnn9+yUb5LCUnAAAAANDs6utL6dNnUFavrm/xz1JyAgAAAAAtYu7c5fniF29p8c/ZpMU/AQAAAABot4YOnZQDD/yPFv0MMzkBAAAAgBb19a8Pa9HrKzkBAAAAgBZVV9fQotdXcgIAAAAAZU3JCQAAAACUNSUnAAAAAFDWlJwAAAAAQFlTcgIAAAAAZU3JCQAAAACUNSUnAAAAAFDWlJwAAAAAQFlTcgIAAAAAZU3JCQAAAACUNSUnAAAAAFDWCi0577///hx22GHZbrvtUlFRkdtuu63J+VKplEsuuSTvfe97s+mmm6Zfv36ZOnVqkzEvv/xyTj755HTr1i1bbrllTj/99CxfvrzJmH/961/57Gc/m65du2aHHXbIL37xi5a+NQAAAABgIym05FyxYkX22muv/OlPf3rd87/4xS/yhz/8IVdeeWUeffTRbL755unfv3+qq6sbx5x88smZOHFiRo4cmTvvvDP3339/vvrVrzaer6qqykEHHZT3ve99efLJJ/PLX/4yP/rRj/KXv/ylxe8PAAAAAGh5FaVSqVR0iCSpqKjIrbfemi984QtJ1szi3G677fKtb30r3/72t5MklZWV6dGjRwYNGpQTTjghzz33XHr16pXHH388H//4x5MkI0aMyOc///m8+OKL2W677fLnP/85//mf/5n58+enc+fOSZLvfe97ue222zJ58uT1ylZVVZXu3buna9fvp7q6c/PfPAAAAAC0adVJfp7Kysp069at2a++SbNfsZnMmDEj8+fPT79+/RqPde/ePZ/85Cczbty4nHDCCRk3bly23HLLxoIzSfr165cOHTrk0UcfzZFHHplx48blc5/7XGPBmST9+/fP5ZdfnldeeSXvfve71/nsmpqa1NTUNL6uqqpKkmy6aYdUVFjGFAAAAAA2RKnUIa96OLvZtdqSc/78+UmSHj16NDneo0ePxnPz58/Ptttu2+T8Jptskq222qrJmPe///3rXGPtudcrOS+77LJceuml6xz/0596ZbPNNnubdwQAAAAA7dPKlStz0kktd/1WW3IW6aKLLsoFF1zQ+Lqqqio77LBDBg6c5HF1AAAAANhApVILTuNMKy45e/bsmSRZsGBB3vve9zYeX7BgQT760Y82jlm4cGGT99XV1eXll19ufH/Pnj2zYMGCJmPWvl475rW6dOmSLl26rHN81aqGVFc3vL0bAgAAAIB2q2U7tVa7wOT73//+9OzZM6NGjWo8VlVVlUcffTS9e/dOkvTu3TtLly7Nk08+2TjmvvvuS0NDQz75yU82jrn//vtTW1vbOGbkyJHZddddX/dRdQAAAACgvBRaci5fvjzjx4/P+PHjk6zZbGj8+PGZPXt2Kioqct555+UnP/lJbr/99jzzzDM59dRTs9122zXuwP7hD384Bx98cM4888w89thjeeihh3LOOefkhBNOyHbbbZckOemkk9K5c+ecfvrpmThxYm644Yb8/ve/b/I4OgAAAABQvgp9XP2JJ55Inz59Gl+vLR6/9KUvZdCgQfnud7+bFStW5Ktf/WqWLl2az3zmMxkxYkS6du3a+J5rr70255xzTg444IB06NAhRx99dP7whz80nu/evXvuueeeDBw4MPvss0/e85735JJLLslXv/rVjXejAAAAAECLqSiVSqWiQ7R2VVVV6d69e7p2/b6NhwAAAABgg1Un+XkqKyvTrVu3Zr96q12TEwAAAABgfSg5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGtKTgAAAACgrCk5AQAAAICypuQEAAAAAMqakhMAAAAAKGvtquT805/+lJ122ildu3bNJz/5yTz22GNFRwIAAAAA3qF2U3LecMMNueCCC/LDH/4wTz31VPbaa6/0798/CxcuLDoaAAAAAPAOtJuS8ze/+U3OPPPMfPnLX06vXr1y5ZVXZrPNNsvf/va3oqMBAAAAAO/AJkUH2BhWr16dJ598MhdddFHjsQ4dOqRfv34ZN27cOuNrampSU1PT+LqysjJJ0rVrbcuHBQAAAIA2plSqTU1NUiqVWuT67aLkXLx4cerr69OjR48mx3v06JHJkyevM/6yyy7LpZdeus7xpUt/2WIZAQAAAKCtW7ZsWbp3797s120XJeeGuuiii3LBBRc0vl66dGne9773Zfbs2S3yDwFe7f/9v/+Xxx9/vOgYtAO+a2wsvmtsLL5rbCy+a2wsvmtsLL5rbAylUin77LNPtttuuxa5frsoOd/znvekY8eOWbBgQZPjCxYsSM+ePdcZ36VLl3Tp0mWd4927d0+3bt1aLCckSceOHX3P2Ch819hYfNfYWHzX2Fh819hYfNfYWHzX2Fg6d+6cDh1aZougdrHxUOfOnbPPPvtk1KhRjccaGhoyatSo9O7du8BksK6BAwcWHYF2wneNjcV3jY3Fd42NxXeNjcV3jY3Fd42NpSW/axWlllrts5W54YYb8qUvfSlXXXVVPvGJT+R3v/tdbrzxxkyePHmdtTpfq6qqKt27d09lZaU/2QAAAACAVqZdPK6eJMcff3wWLVqUSy65JPPnz89HP/rRjBgx4i0LzmTN4+s//OEPX/cRdgAAAACgWO1mJicAAAAA0Da1izU5AQAAAIC2S8kJrVxFRUVuu+22omMAAACtgN8fALw+JSdsBKeddloqKirW+Zk2bVrR0Whj1n7XzjrrrHXODRw4MBUVFTnttNM2fjDarHHjxqVjx44ZMGBA0VFoY/z3jKKcdtpp+cIXvlB0DNoR3zlakl+rsTEsWrQoZ599dnbcccd06dIlPXv2TP/+/fPQQw9t1BxKTthIDj744MybN6/Jz/vf//6iY9EG7bDDDrn++uuzatWqxmPV1dUZMmRIdtxxx3d07dra2ncajzbmf//3f/ONb3wj999/f+bOnfuOrlVfX5+GhoZmSkZb0JL/PQOA9qA5f60Gb+Too4/O008/ncGDB+f555/P7bffnv333z9LlizZqDmUnPEnZ2wca/8049U/HTt2zD//+c/svffe6dq1a3beeedceumlqaura/LeefPm5ZBDDsmmm26anXfeOTfddFNBd0E52HvvvbPDDjvklltuaTx2yy23ZMcdd8zHPvaxxmMjRozIZz7zmWy55ZbZeuutc+ihh2b69OmN52fOnJmKiorccMMN2W+//dK1a9dce+21G/VeaN2WL1+eG264IWeffXYGDBiQQYMGNZ4bM2ZMKioqMmzYsHzkIx9J165ds+++++bZZ59tHDNo0KBsueWWuf3229OrV6906dIls2fPLuBOaK2a679nffv2zTnnnNPk2osWLUrnzp0zatSolr8RytZOO+2U3/3ud02OffSjH82PfvSjxtcVFRX561//miOPPDKbbbZZPvjBD+b222/fuEFpM9bnOwfr681+rbb212Gvdtttt6WioqLJsZ/85CfZdttt8653vStnnHFGvve97+WjH/1oy4enbCxdujQPPPBALr/88vTp0yfve9/78olPfCIXXXRRDj/88MYxZ5xxRrbZZpt069Ytffv2zYQJExqv8aMf/Sgf/ehHc9VVV2WHHXbIZpttluOOOy6VlZUblEXJCQV64IEHcuqpp+bcc8/NpEmTctVVV2XQoEH56U9/2mTcD37wgxx99NGZMGFCTj755Jxwwgl57rnnCkpNOfjKV76Sv//9742v//a3v+XLX/5ykzErVqzIBRdckCeeeCKjRo1Khw4dcuSRR64zk+573/tezj333Dz33HPp37//RslPebjxxhuz2267Zdddd80Xv/jF/O1vf0upVGoy5jvf+U5+/etf5/HHH88222yTww47rMmM4JUrV/7/9u49qKqqjeP4jwMaAiJJIGrhJYIsQCIqsTJBUEocCaQkTUmxMVHTYhpviWRqWmap2RVBQ6UyL2lpFxVL0kRSECmySWQaQc1AQ0dE4P3D8bwescIEDke+nxn+OGuvvc6zmM1mz7PXRXPnztUHH3ygAwcOyNXVtbG7gSauPu5ncXFxWrlypSoqKoznpKWlqWPHjgoODm6cjuC6lpSUpMcee0y5ubl65JFHNGTIEP3555/mDgtAM1eXZ7V/smLFCs2aNUtz585Vdna23N3d9fbbbzdgxLBEDg4OcnBw0Lp160yetS4VHR2tY8eOadOmTcrOzpa/v7/69Olj8r/y119/1ccff6wNGzZo8+bN2rt3r8aMGXNVsZDkvExdRzatWbNGQUFBsrOzU/fu3bVz504zRg1LsHHjRuMfv4ODg6Kjo5WUlKRJkyZp+PDh6tq1q0JDQzVz5ky9++67JudGR0crLi5Onp6emjlzpgICArRo0SIz9QSWYOjQodqxY4cOHz6sw4cPKzMzU0OHDjWpExUVpcjISHl4eMjPz09Lly7V/v37lZ+fb1JvwoQJioyMVJcuXdS+ffvG7AaauOTkZON1FRYWppMnT2r79u0mdRITExUaGiofHx8tW7ZMR48e1dq1a43HKysrtWTJEvXs2VNeXl6ys7Nr1D6g6auP+1lkZKQkaf369cZzUlNTjet+AtcqNjZWMTEx8vDw0OzZs1VeXq7du3ebOywAzVxdntX+yaJFizRy5Eg99dRT8vT01PTp0+Xj49NQ4cJC2djYKDU1VcuWLZOTk5Puv/9+TZkyRbm5uZKkHTt2aPfu3frkk08UEBCg2267Ta+99pqcnJxMZqmePXtWy5cvl5+fn3r16qVFixYpPT1dJSUldY6FJOdl6jqyaerUqUpISNC+ffvk6empmJiYWlOMgUsFBQVp3759xp+FCxcqJydHL730kknyc9SoUSouLtaZM2eM5wYGBpq0FRgYyEhO/CMXFxfjlJSUlBT1799fN910k0mdgwcPKiYmRl27dpWjo6M6d+4sSbWmCwcEBDRW2LAgBQUF2r17t2JiYiRdeLh5/PHHlZycbFLv0vtX27Zt5eXlZXL/atmypXx9fRsnaFik+rif2dra6sknn9TSpUslST/++KPy8vLYuAj15tL7mL29vRwdHXXs2DEzRgSguavrs9q/tXHvvfealF3+GZAuvHA+cuSIPvvsM4WFhSkjI0P+/v5KTU1VTk6OysvL5ezsbJL7OHTokMmgQnd3d3Xs2NH4OTAwUNXV1SooKKhzHDb12qvrQFRUlMnnpUuXysXFRfn5+fL29jaWJyQkGHcnS0pK0p133qlff/1Vt99+e6PGC8thb28vDw8Pk7Ly8nIlJSUZR5hcytbWtrFCw3VqxIgRxjXo3nrrrVrHBwwYoE6dOun9999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NzTxjBg4cmK233jqtW7fOBhtskF69ei2JjwcAJWXYsHH5wx/6J/niZeqfd+mlQ8zmBAAAiq7oMzk322yzjBs3rv6vwYP/93yvk046KQ8++GDuuuuuDBo0KGPHjs3ee+9df762tjbdunXL7NmzM2TIkNx4443p1atXzj777Poxo0aNSrdu3bLLLrtk+PDhOfHEE3PkkUemb9++S/RzAkBTNn367Pz61/ekunpOYflly9Q/a+bMmvzpTwMaMRkAAMBXKysUFvZrTMM755xzcv/992f48OHznauoqMgqq6yS3r17Z999902SvPHGG9lkk00ydOjQbLfddnnkkUey5557ZuzYsenYsWOS5Jprrsnpp5+eSZMmZZlllsnpp5+ePn365LXXXqu/9v77758pU6bk0UcfXaiclZWVad++fSZPnpyVV175639wAGhijj76wfz738MW67WtWy+VqVPPTKtWSzVwKgAAoLmY269VVFSkXbt2DX79pRv8iovo7bffzuqrr542bdqkc+fOueCCC7LWWmvlxRdfTHV1dXbdddf6sRtvvHHWWmut+pJz6NCh+fa3v11fcCbJHnvskWOPPTYjRozId77znQwdOnSea8wdc+KJJ35hpqqqqlRVVdX/XFlZmSSprq5OdXV1A31yAGga7r33jfqCs3XrspSXL9xa9UKhkFmzCqmqqs0ZZ/TLhRf+sDFjAgAAJayxO7WilpzbbrttevXqlY022ijjxo3Lueeemx122CGvvfZaxo8fn2WWWSYdOnSY5zUdO3bM+PHjkyTjx4+fp+Cce37uuS8bU1lZmZkzZ2bZZZedL9cFF1yQc889d77jTzzxRNq2bbvYnxcAmprJk2fnxBPfTJLsvfeqOfjg1Rfp9Q8+OCnXXfdRbrppWDp3nplWrYr+JBwAAKAJmjFjRqNev6gl549//OP6/77FFltk2223zdprr50777xzgeXjknLmmWfm5JNPrv+5srIya665ZnbZZRfL1QFoNmpr6/KjH/XOtGm1KStLHn54Uh55ZPIiXWPuU28mT67OoEHL5K9/3b0xogIAACVu7krpxlL05eqf1aFDh3zrW9/KO++8k9122y2zZ8/OlClT5pnNOWHChHTq1ClJ0qlTpzz33HPzXGPu7uufHfP5HdknTJiQdu3afWGR2rp167Ru3Xq+461atUqrVq0W+/MBQFNy2WWDM2jQmCRzNhqaNauQZPEf1f2vfw3LxRfvnmWX9WclAAAwr8bu1JrUmrJp06bl3XffzWqrrZZtttkmrVq1Sv/+/evPv/nmmxkzZkw6d+6cJOncuXNeffXVTJw4sX5Mv3790q5du2y66ab1Yz57jblj5l4DAFqi55//KH/60xNJkrKFewTnV6qursvJJ/dtmIsBAAAsgqKWnKecckoGDRqU0aNHZ8iQIfnFL36RpZZaKr/+9a/Tvn37HHHEETn55JPzxBNP5MUXX8xhhx2Wzp07Z7vttkuS7L777tl0001z0EEH5eWXX07fvn1z1llnpUePHvUzMY855pi89957Oe200/LGG2/kn//8Z+68886cdNJJxfzoAFA0U6dWpXv3e1NTU5dkzizOhtKz50uZPn12w10QAABgIRS15Pzwww/z61//OhtttFH222+/rLzyynnmmWeyyiqrJEkuv/zy7Lnnntlnn32y4447plOnTrn33nvrX7/UUkvloYceylJLLZXOnTvnwAMPzMEHH5y//OUv9WPWXXfd9OnTJ/369cuWW26Zyy67LD179swee+yxxD8vADQFv/vdo3nnnU8a5do1NXX53e8eaZRrAwAAfJGyQqEh5280T5WVlWnfvn0mT55s4yEAStqdd47Ir351d6O+x1JLlWXKlNOz/PLzP98aAABomeb2axUVFWnXrl2DX79JPZMTAGg8778/JUcf/WCShnsO54LU1hby298+3HhvAAAA8DlKTgBoAWpr63LQQfeloqIqScM+h3NBevd+NRUVsxr3TQAAAP5LyQkALcAFFwzOU0+NWWLvV1tbyDHHPLTE3g8AAGjZlJwA0MwNHfpBzjlnYJLGXab+eXfeOTKffDJjyb0hAADQYik5AaAZq6ysygEH3Jva2kLKyhp/mfpn1dUV8pvfmM0JAAA0PiUnADRjPXo8nFGjpiRZsgXnXPfe+0YmTZq+5N8YAABoUZScANBM3XrrK7nllleKmqGurpCjjnqwqBkAAIDmT8kJAM3QqFGf5thj+yRJysuX4IM4F+CBB97MhAnTipoBAABo3pScANDM1NTU5YAD7s3UqbOTzJlNWUyFQnLEEQ8UNQMAANC8KTkBoJn5f/9vUIYO/bDYMebx8MNvZ+zYymLHAAAAmiklJwA0I4MHj8l55z2VJCkr7ir1eRQKyWGH/afYMQAAgGZKyQkAzcSUKbNywAH3pq6ukLKy4uym/mX69Xsv778/pdgxAACAZkjJCQDNQKFQyDHHPJQxYyr++3ORAy1AoZAcfrjZnAAAQMNTcgJAM3DTTS/njjtGFDvGVxowYHTee+/TYscAAACaGSUnAJS4d975JMcd90iSpLy8CT2I8wscdtj9xY4AAAA0M0pOAChh1dW16d79nkybNjtJUlfXBNepf86TT47JW299XOwYAABAM6LkBIASds45A/P882OLHWORHXro/cWOAAAANCNKTgAoUQMHjs4FFwxOkpQ1/VXq8xg69MOMHDmx2DEAAIBmQskJACXok09m5qCD7kuhMKfgbIq7qX+VQw+10zoAANAwlJwAUGIKhUKOPvrBfPhh5X9/LnKgxfT882Pz8svjix0DAABoBpScAFBirr/+pdxzz+vFjtEgDj/cbE4AAODrU3ICQAl5883J+d3vHk2SlDeDP8WHDRufYcNKb+MkAACgaWkGX48AoGWYPbs23bvfmxkzqpMkdXVFDtRADjvsgWJHAAAASpySEwBKxFlnDciwYeOKHaPBvfLKhDzzzIfFjgEAAJQwJScAlIDHH38vl1wyJMmc3dSbmyOPNJsTAABYfEpOAGjiJk+ekYMPvi/JnIKzVHdT/zIjRkzK4MHvFzsGAABQopScANCEFQqFHHnkAxk3btp/fy5yoEZ05JEPFjsCAABQopScANCE/etfL+Y//3mz2DGWiDff/DgDBowqdgwAAKAEKTkBoIkaOXJSTj65b5KkvIX8if2b3zxU7AgAAEAJaiFfmQCgtFRV1aR793syc2ZNkqSursiBlpB33vkkjz32brFjAAAAJUbJCQBN0Jln9s/LL08odoyiOOYYszkBAIBFo+QEgCbm0UffyeWXP5Nkzm7qLc2oUVPy0ENvFTsGAABQQpScANCETJw4PYceen+SOQVnc95N/cv06NGn2BEAAIASouQEgCaiUCjksMP+kwkTpv/35yIHKqIxYypz772vFzsGAABQIpScANBE/OMfz+fhh98udowm43e/e6TYEQAAgBKh5ASAJuDVVyfklFMeS9Iyn8O5IB99NDW33/5asWMAAAAlQMkJAEU2c2Z1une/N1VVtUla9jL1zzvppL4p+BsCAAB8BSUnABTZaaf1y2uvTSx2jCZp/PhpufXWV4odAwAAaOKUnABQRH36vJWrrno+iWXqX+T3v3/MbE4AAOBLKTkBoEjGj5+WQw/9T5I5Baceb8EmTpyRXr2GFzsGAADQhCk5AaAI6uoKOeSQ+zN58owkCs6vcuqp/czmBAAAvpCSEwCK4Iornsljj71b7Bgl4+OPZ+Zf/3qx2DEAAIAmSskJAEvY8OHjc8YZ/ZN4Duei+MMf+pvNCQAALJCSEwCWoBkzqvPrX9+T2bNrk1imvig+/XRW/v7354odAwAAaIKUnACwBP3+933zxhuTix2jZJ199hOpq9MMAwAA81JyAsAScv/9b+SaazxX8uuoqKjK5ZcPLXYMAACgiVFyAsAS8NFHlTniiAeSeA7n13XuuYPM5gQAAOah5ASARlZXV8ghh9yfTz6ZmcRzOL+uqVNn56KLBhc7BgAA0IQoOQGgkV122ZD07z+q2DGalf/7v6dSW1tX7BgAAEAToeQEgEb04otj84c/DEhimXpDmj69Oued92SxYwAAAE2EkhMAGsm0abPz61/fk5qaOTMOLVNvWBdfPKT+7y0AANCyKTkBoJGceOKjefvtT4odo9maMaM655zzRLFjAAAATYCSEwAawd13j8x1171U7BjN3mWXPZPq6tpixwAAAIpMyQkADeyDDypy1FEPJvEczsY2a1ZN/vjHAcWOAQAAFJmSEwAaUG1tXQ466L5MmTIriedwLglXXvlsqqpqih0DAAAoIiUnADSgiy56OoMGvV/sGC1KVVVtzjijf7FjAAAARaTkBIAG8uyzH+bss+dshGOZ+pL1z38+n1mzqosdAwAAKBIlJwA0gKlTq9K9+72prS2krMwy9SVt9uzanHJKv2LHAAAAikTJCQAN4PjjH8l7732aRMFZLNde+2JmzJhd7BgAAEARKDkB4Gu6/fbXcuONLxc7RotXXV2XE0/sW+wYAABAESg5AeBrGD16So455qEknsPZFNxww/BMm1ZV7BgAAMASpuQEgMVUU1OXAw+8NxUVc0o1y9SLr6amLscf/2ixYwAAAEuYkhMAFtP55z+Vp5/+oNgx+Jybb345lZVmcwIAQEui5ASAxTBkyAc599xBSSxTb2pqawv57W/7FDsGAACwBCk5AWARVVTMygEH3Ju6ukLKyixTb4puu+21TJkyq9gxAACAJUTJCQCL6Le/fTijR09JouBsqurqCvnNbx4sdgwAAGAJUXICwCK45ZZX0rv3q8WOwUK4++7X8/HHM4odAwAAWAKUnACwkN5779P6Zz2Wl3sQZ1NXV1fIUUeZzQkAAC2BkhMAFkJ1dW26d78nU6fOTjKnQKPpu//+NzJx4vRixwAAABqZkhMAFsJf/jIozz77UbFjsIgKheTIIx8odgwAAKCRKTkB4Cs89dT7Of/8wUmSMqvUS85DD72VceOmFjsGAADQiJScAPAlPv10Zg444N7U1RVSVmY39VJUKCSHH242JwAANGdKTgD4AoVCIccc0ycffFD535+LHIjF1rfvO/nww8pixwAAABqJkhMAvsCNN76cO+8cUewYNIBCITnssPuLHQMAAGgkSk4AWIC33/44xx33cJKkvNyDOJuDxx8fldGjPy12DAAAoBEoOQHgc2bPrk337vdm+vTqJEldnXXqzcVhh/2n2BEAAIBGoOQEgM/585+fyAsvjC12DBrBwIHv5+23Py52DAAAoIEpOQHgM554YlQuuujpJEmZVerN0uGHm80JAADNjZITAP7r449n5KCD7kuhMKfgtJt68zR48Ad5883JxY4BAAA0ICUnACQpFAo5+uiH8tFHU//7c5ED0agOPfT+YkcAAAAakJITAJL07Dks9977erFjsIQ888xHee21icWOAQAANBAlJwAt3htvTM6JJ/ZNkpSXexBnS3HYYfcXOwIAANBAlJwAtGhVVTXp3v2ezJhRnSSpq7NOvaV44YVxeeml8cWOAQAANAAlJwAt2llnDVB0tWB2WgcAgOZByQlAi9Wv37u59NKhSebspk7LM3z4+Dz//EfFjgEAAHxNSk4AWqRJk6bnkEPuTzKn4LSbest1xBEPFDsCAADwNSk5AWhxCoVCjjjigYwbN+2/Pxc5EEX16qsTM2TIB8WOAQAAfA1KTgBanGuueSEPPvhWsWPQhBx5pNmcAABQypScALQoI0ZMzMknP5YkKS/3IE7meP31yXnyyfeLHQMAAFhMSk4AWoxZs2rSvfu9mTWrJklSV2edOv9z1FEPFjsCAACwmJScALQYZ5zxeF55ZUKxY9BEvfXWx+nf/71ixwAAABaDkhOAFuGRR97OFVc8m2TObuqwIL/5zUPFjgAAACwGJScAzd6ECdNy6KH/STKn4LSbOl/k3Xc/zSOPvF3sGAAAwCJScgLQrBUKhRx22H8yceL0//5c5EA0ecce26fYEQAAgEWk5ASgWfv735/LI4+8U+wYlJD336/IAw+8UewYAADAIlByAtBsvfLKhJx2Wr8knsPJojnuuEeKHQEAAFgESk4AmqWZM6vz61/fk6qq2iSWqbNoPvigMnffPbLYMQAA+K9CoZCXXhqX6dNnFzsKTZSSE4Bm6dRT+2XkyEnFjkEJ+93vzOYEACi2QqGQBx98M9/97r+z9dbXZr31rrBRJAuk5ASg2XnwwTfzj388n8QydRbfuHHT0rv3K8WOAQDQIn223PzZz27PsGHjkiQTJ87IT37SO7/85Z35+OMZRU5JU6LkBKBZGTduag4//IEkcwpOy9T5Ok4++bEU/EMEALDEfFG5+fnJC3ff/XrWXfeK3HXXiCKkpClScgLQbNTVFXLIIfdn8uQ5v9HVTfF1TZgwPTfd9HKxYwAANHuFQiEPPfRWvve9BZebC7q3nzp1dvbb7+786Ee3ZNy4qUswLU2RkhOAZuNvf3sm/fq9V+wYNDOnntrPbE4AgEby2XLzpz+9LS+++NXl5uf17ftu1l//ylx33TD3bS2YkhOAZuGll8bljDMeT+I5nDSsSZNm5LrrhhU7BgBAs9IQ5eZnzZxZkyOPfDBdulyf0aOnNGxYSoKSE4CSN3367HTvfm+qq+uSWKZOwzv99P5mBQAANIBCoZA+fd7K97/fs0HKzc8bOvTDbLTR33P55c+krs79W0vSZErOCy+8MGVlZTnxxBPrj82aNSs9evTIyiuvnOWXXz777LNPJkyYMM/rxowZk27duqVt27ZZddVVc+qpp6ampmaeMQMHDszWW2+d1q1bZ4MNNkivXr2WwCcCYEk5+eS+eeONycWOQTP2ySczc/XVLxQ7BgBAyfpsubnnnrflhRfGJmm4cvOzZs+uy8kn983WW//L94QWpEmUnM8//3z+9a9/ZYsttpjn+EknnZQHH3wwd911VwYNGpSxY8dm7733rj9fW1ubbt26Zfbs2RkyZEhuvPHG9OrVK2effXb9mFGjRqVbt27ZZZddMnz48Jx44ok58sgj07dv3yX2+QBoPPfd93quvdZSYhrfH/84wGxOAIBFVCgU8vDDb2fbbRu/3Py8l1+ekM03/2f+8pdBqa6ubbw3okkoKxT5bn3atGnZeuut889//jPnnXdettpqq/ztb39LRUVFVllllfTu3Tv77rtvkuSNN97IJptskqFDh2a77bbLI488kj333DNjx45Nx44dkyTXXHNNTj/99EyaNCnLLLNMTj/99PTp0yevvfZa/Xvuv//+mTJlSh599NGFylhZWZn27dtn8uTJWXnllRv+bwIAi+WjjyqzxRbX5JNPZqaszDJ1Gt/f/rZHTjhhu2LHAABo8gqFQh555J2cc87APP/82Prjxbpv33DDlXLHHfvmO99Zbcm/OUn+169VVFSkXbt2DX79pRv8iouoR48e6datW3bdddecd9559cdffPHFVFdXZ9ddd60/tvHGG2ettdaqLzmHDh2ab3/72/UFZ5LsscceOfbYYzNixIh85zvfydChQ+e5xtwxn10W/3lVVVWpqqqq/7mysjJJUl1dnerq6q/7kQFoALW1dTnwwHvrC87WrctSZschGkl1dV1qapI//3lgjjlm65SX+2cNAGBBCoVCHn303fy///dUXnhhXP3xVq3KstRSWaL37IVCIbW1SXV1IW+//Um22ebanHjitjn33J3Spk3RK7EWp7E7taL+L3r77bdn2LBhef755+c7N378+CyzzDLp0KHDPMc7duyY8ePH14/5bME59/zcc182prKyMjNnzsyyyy4733tfcMEFOffcc+c7/sQTT6Rt27YL/wEBaDT33jshAweOS+vW5fnrX7+Vb36zTbEj0YxNnVqT3/xmZCoqqvKnP92WLl06FDsSAECTUigUMmzY1Nx++/i8/faMJEnr1uX58Y+/kZ//fJV06NCqaNmmTKnOv//9UZ5+ekouv/zZ3HXX8Bx33FrZeOPlipapJZoxY0ajXr9oJecHH3yQE044If369UubNk3ri+mZZ56Zk08+uf7nysrKrLnmmtlll10sVwdoAl58cVx6977xvz8VcsopbxU1Dy1DdXVdkuSaa8bmL3/ZP0st1SQebQ4AUFSFQiF9+76X//f/nppnWXqrVmUpKyukb9/J6du3aWz+s8wyZamuLuTDD6tyxhlv54gjtsoll+ya5ZdfptjRWoS5K6UbS9FKzhdffDETJ07M1ltvXX+strY2Tz75ZK666qr07ds3s2fPzpQpU+aZzTlhwoR06tQpSdKpU6c899xz81x37u7rnx3z+R3ZJ0yYkHbt2i1wFmeStG7dOq1bt57veKtWrdKqVfF+8wBAMm3a7Bx88H9SUzOncKqqKiTxME6WnKlTZ+eyy57NH/+4Y7GjAAAUzZxy892cc87APPvsR/XH5z5zs7q6kDmrk5vuvfp11w3PAw+8lVtu+UV2332DYsdp9hq7UyvaFIQf/vCHefXVVzN8+PD6v7773e/mgAMOqP/vrVq1Sv/+/etf8+abb2bMmDHp3LlzkqRz58559dVXM3HixPox/fr1S7t27bLpppvWj/nsNeaOmXsNAErLCSc8krff/qTYMWjhzj9/cH3RDgDQksx55uY76dz5uvz4x7fWF5xLYrf0xjBp0ozsscet2X//u/PppzOLHYevoei7q3/WzjvvXL+7epIce+yxefjhh9OrV6+0a9cuxx9/fJJkyJAhSebM/Nxqq62y+uqr5+KLL8748eNz0EEH5cgjj8z555+fJBk1alQ233zz9OjRI4cffngGDBiQ3/3ud+nTp0/22GOPhcpld3WApuGuu0Zkv/3uLnYMSJKcffaOOffcXYodAwBgifiqmZvNQfv2rXP99Xtl7703KXaUZqmxd1dv0g+Tuvzyy7Pnnntmn332yY477phOnTrl3nvvrT+/1FJL5aGHHspSSy2Vzp0758ADD8zBBx+cv/zlL/Vj1l133fTp0yf9+vXLlltumcsuuyw9e/Zc6IITgKZhzJiKHH30Q0n+91tiKKZLLhliNicA0OzNKTffyfbbX98sZm5+mYqKquyzz53p1q13JkyYVuw4LKImNZOzqTKTE6C4amvrsssuN+app8YUOwrM44wzuuSCC3YtdgwAgAZXKBTy2GPv5pxzBuWZZz6sP96cZm5+mbZtW+Wf/+yWgw/eImVmWTSIFj2TEwCS5MILBys4aZIuv/yZVFfXFjsGAECD+ezMzR/96Nb6grM5ztz8MjNmVOfQQ+/PTjv1ypgxFcWOw0JQcgLQpD3zzIf5858HJrFMnaanqqo2Z5zxeLFjAAB8bXNnbnbp0rLLzc976qkx2XDDv+fvf382dXUt9G9CiVByAtBkVVZW5YAD7k1tbaHFLIuh9Fx11fOZNau62DEAABbLZ8vNPfa4JUOHKjc/b/bs2vzud4/me9/7d95+++Nix+ELKDkBaLKOO+7hvPfep0ncXNF0zZ5dm9NPN5sTACgthUIh/fq9m65db1BuLqRhw8Zl003/mf/7v6dsQNkEKTkBaJJ69341N9/8SrFjwEK5+uoXMnOm2ZwAQNP32XJz991vyZAhHyRRbi6smpq6nHXWgGy++T/zyisTih2Hz1ByAtDkjBr1aY49tk8Sz+GkNFRX1+Xkkx8rdgwAgC+k3GxYb775cb7znX/ljDMeT1VVTbHjECUnAE1MTU1dDjzwvlRWViVxs0Xp6NlzWGbMmF3sGAAA8ygUCnn88feyww7KzYZWV1fIRRc9nW9966r6jZooHiUnAE3Keec9WX/jBaWkpqYuv/vdo8WOAQCQZN5yc7fdbs7TTys3G8uYMRXp3Pm6/Pa3fTJ9ul96F0tZoeAf669SWVmZ9u3bZ/LkyVl55ZWLHQeg2Xr66THZccdeqauzmzqlaemly/Lpp6dn+eVbFzsKANBCFQqF9O8/KuecM7C+2Ezi/noJ6dhxufTuvU9+8IN1ix2lyZnbr1VUVKRdu3YNfn0zOQFoEqZMmZUDDrhXwUlJq6kppEePR4odAwBogeaUm+9lxx17mblZRBMmTM8Pf3hTDjjg3kyZMqvYcVoUJScARVcoFHLssX3y/vsV//25yIHga7j11ldSUeGGFgBYMj5bbu66680ZPHhMEuVmsfXu/WrWXfeK/Oc/bxQ7Souh5ASg6G6++ZXcfvtrxY4BDaK2dk5pDwDQmAqFQgYMGJWddlJuNlVTpszKz39+R/ba67ZMmjS92HGaPSUnAEX17rufpEePh5Mk5eVlRU4DDeOOO0bkk09mFDsGANAMfbbc/OEPb8pTTyk3m7oHHngr6657RW655ZXYGqfxKDkBKJrq6tp0735vpk2bswNhXZ0/8Gke6uoK+c1vzOYEABqOcrO0TZ9enYMOui8//OFN+fDDymLHaZaUnAAUzbnnDspzz31U7BjQKO699/VMnmxZEgDw9RQKhTzxxKjsvPONys1m4IknRmeDDa7M1Ve/YJJHA1NyAlAUgwaNzvnnP5Xkfzdo0JzU1RVy5JEPFjsGAFDC5pabP/jBTXnyyfeTKDebg6qq2vz2t32y7bY98+67nxQ7TrOh5ARgifv005k58MD7UijMuUlzg0Zz9cADb2bChGnFjgEAlJiBA0dn5517KTebuRdeGJuNN/5HLr746dTW1hU7TslTcgKwRBUKhRx99EP1z6Fxk0ZzVigkRxzxQLFjAAAlYm65ucsuN2bQIOVmS1BTU5fTT388W2xxTV57bWKx45Q0JScAS9QNNwzP3XePLHYMWGIefvjtjB3r4fIAwBdTbjJy5KRsueU1+eMf+2f27NpixylJSk4Alpi33vo4xx//SJKkvNyDOGkZCoXksMP+U+wYAEATNGjQ6Oyyy43KTZLMeab7+ecPzkYbXZXnn7dB66JScgKwRMyeXZvu3e/JjBnVSWInQVqUfv3ey5gxU4odAwBoIuaWmzvvfGMGDhydRLnJ/4wePSXbbtszxx//SP33J76akhOAJeJPfxqQF18cV+wYUBRmcwIAiXKThVcoJFdd9Vw22ODKDBo0uthxSoKSE4BG9corE3L88Q/nkkuGJPnfTRy0NAMGjM57731a7BgAQBE8+eT7+cEPlJssunHjpmXnnW/MoYfen8rKqmLHadLKCgX/d/oqlZWVad++fSZPnpyVV1652HEAmrzKyqrcfvtr6dlzWJ5/fmz98bIyN3G0bDvuuFYGDTqs2DEAgCXkySffzznnDMwTT4yuP+aemMW10krL5qabfp5u3b5V7CiLZW6/VlFRkXbt2jX49Zdu8CsC0CIVCoUMHfphevYcljvuGLHAZ8e4maOle/LJMXn77Y+z4YZ+aQoAzdmTT76fc88dlAEDRtUfm1tuuidmcX3yyczsuedt+cUvNs611/403/hG22JHalLM5FwIZnICfLFJk6bn5ptfSc+ew/L665PnOee31DC/7bdfI08/fUSxYwAAjeCpp97POecsuNyEhrTCCsvk2mt/ml/9arOUlcgzwRp7JqeScyEoOQHmVVdXyOOPv5eePYfl/vvfSHV1Xf05N3Hw1UaO/G022WSVYscAABqIcpNi2XXXdXPjjb/I6quvUOwoX0nJ2QQoOQHm+OCDitxww/Bcf/1Lef/9innOuYmDhff976+eZ589qtgxAICvafDgMTnnnIHp31+5SfG0abN0rrzyRznyyK2b9KxOJWcToOQEWrLZs2vz0ENvpWfPYXn00XfmuWFzAweLb/jw32TLLTsVOwYAsBiUmzRF2277zdx22z5Zd90Vix1lgZScTYCSE2iJ3nxzcq677qXceOPLmThxerHjQLOz9dad8uKLvyl2DABgESg3aepatSrPBRfsmhNP3DZLLVVe7DjzUHI2AUpOoKWYMaM6d989Mj17DstTT42Z55ybN2h4w4Ydne98Z7VixwAAvsLTT4/JOecMyuOPv1d/zP0xTdm3v71q7rhj3yb1HHglZxOg5ASau2HDxqVnz2G59dZXU1lZVew40GJssUXHvPzyMcWOAQB8AeUmpWyppcpy1lk75o9/3CGtWi1V7DhKzqZAyQk0R1OmzErv3q+mZ89heeml8fOcKy9P6uq+4IVAgxo69Ihst90axY4BAHzG00+PybnnDkq/fspNSt/666+YO+/8ZbbeurgriJScTYCSE2guCoVCnnpqTHr2HJa77hqZWbNq6s+5aYPi2GyzVfLaa78tdgwAIMmQIR/knHMGKjdpdsrKkhNO2C7nn/+DLLtsq6JkUHI2AUpOoNRNmDAtN974cnr2HJa33/5knnNu2qD4nnrq0HTtunaxYwBAi6XcpKX45jdXyG237ZMddljy955KziZAyQmUotrauvTt+2569hyWBx98KzU1/1t/7oYNmpaNN145r79+XLFjAECLM3ToBznnnEF57LF364+5V6YlOPzw7+Rvf9sjK6zQeom9p5KzCVByAqVk9Ogpuf76l3LDDcPz4YeV85xzwwZN14ABB2eXXdYtdgwAaBGUm5B84xttc/PNP8+PfrThEnk/JWcToOQEmrqqqpr85z9vpmfPYXn88ffmuTlzswalYYMNVsrbbx9f7BgA0KwNHfpBzj13UPr2VW7CXL/85aa55po9s9JKyzbq+yg5mwAlJ9BUjRgxMddd91JuuunlfPzxzGLHAb6mvn0PzO67r1/sGADQ7MyYUZ0DDrg399//Rv0x5Sb8T7t2rXPddT/Lvvtu2mjvoeRsApScQFMybdrs3HnniPTsOSxDh344zzk3alDa1l23Q95774RixwCAZmX27NrstdftefTRd5K4Z4Yvs8ce66dXr5+nU6flG/zajV1yljf4FQFocIVCIc8991GOPvrBrLbaZTniiAfmKzjnjCtCOKDBjBo1JX36vFXsGADQbNTW1uXgg++rLzgT98zwZfr2fTfrr39Frr/+pZTavEgzOReCmZxAsXzyyczccssr6dlzWF59deI85/wGGpqntdZqn/ffP7HYMQCg5BUKhRx7bJ/8618vJnH/DIuqS5c1c+ute2fttTs0yPXM5ARoYerqChkwYFS6d78nq69+WU444dH6grOs7H/j3KBB8zRmTMU8zwsDABbPH/84oL7gLC93/wyL6umnP8i3vnVVrrjimdTVNf3/A5nJuRDM5ASWhLFjp6ZXr+G57rqX8t57n85zzm+doWX55jdXyIcfnlzsGABQsi69dEhOPbVfEvfS0BC23LJj7rhj32y00TcW+xpmcgI0YzU1dXnggTfzs5/dljXXvDx//OOA+oLTrE1ouT76aGruuOO1YscAgJJ03XXD6gvO8vIy99LQAF5+eUI22+yf+X//b1Cqq2uLHWeBzORcCGZyAg3tnXc+yfXXv5RevYZn3LhpxY4DNEGdOi2fsWNPTtlnf+MBAHype+4Zmf32uzt1dQUzOKGRbLjhSrnzzl9mq606LdLrzOQEaCZmzapJ796v5gc/uDEbbvj3XHDB4PqCU4cBfN748dNy662vFjsGAJSMfv3eTffu9yo4oZG9/fYn2Waba3Pqqf0ya1ZNsePUM5NzIZjJCXwdr7wyIT17Dsstt7ySTz+dVew4QAlZddW2GT/+FLM5AeArPPPMh9l115syfXp1saNAi7Lmmu1y++37Zvvt1/zKsWZyApSgysqqXHvti/n+9/+dLbe8Jn//+3P1BWe5f/MCC2nixBnp1Wt4sWMAQJP22msT85Of3KrghCL44IPKdOlyfX7zm4cybdrsomYxk3MhmMkJLIxCoZChQz9Mz57DcscdIzJjhpss4OtbeeVlM2nSqWZzAsACvPfep+na9XrPuYcmYJVV2ubWW/fObrutv8DzZnICNHGTJk3PX/86NJtt9s906XJ9brhheH3BqZMAvq6PP56Zf/3rxWLHAIAmZ9y4qdltt5sVnNBETJo0I7vvfkt+/eu7M2XKkn9Um5mcC8FMTuDz6uoKefzx99Kz57Dcf/8bqa6uqz/nIedAQ1txxTb5+OPTzOYEgP/65JOZ2WmnXnnttYnFjgIsQIcOrXP99XvlF7/YpP6YmZwATcgHH1TkL38ZlPXWuyJ77HFL7rprZH3BObd7UHACDe3TT2flqqueK3YMAGgSpk+fnW7deis4oQmbMqUqe+99Z7p1650JE5bMbGszOReCmZzQss2eXZuHHnorPXsOy6OPvjNPiWnWJrCktG/fOp98cnrKy83mBKDlqqqqyU9/elv69Xuv2FGAhdS2batcfXW37LXXOunQoUOjzeRcusGvCNBMvPnm5Fx33Uu58caXM3Hi9AWOUXACS0pFRVX+9rehOfnk7YsdBQCKora2LgceeJ+CE0rMjBnVOeSQ+7P99qs06vuYybkQzOSElmPGjOrcfffI9Ow5LE89NWaec2ZtAsW2wgrLZMqUM8zmBKDFKRQKOfroB9Oz50tJ3JtDaZqV5EIzOQEa07Bh49Kz57DceuurqaysWuAYN1FAsU2dOjsXXzw4Z5yxQ7GjAMASdcYZj9cXnOXlSV3dV7wAaHGUnECLNWXKrPTu/Wp69hyWl14aP885vxkGmqr/+7+ncuqpXbLUUvaPBKBluOiiwbn44iFJ5tynKziBBVFyAi1KoVDIU0+NSc+ew3LXXSMza1ZN/bnPFpsKTqCpmjatOuef/1T+9Kedih0FABrdv//9Ys44o3+SpLy8LHV1btSBBfNMzoXgmZxQ+saPn5abbno5PXsOy9tvfzLPObM2gVLTtm2rVFSckaWXNpsTgObrzjtHZP/9706h4J4dmgfP5ARYLLW1denb99307DksDz74Vmpq/reuxaxNoJTNmFGdc84ZmPPO+0GxowBAo+jb950ceOC9Ck5goZnJuRDM5ITSMnr0lFx//Uu5/vqX8tFHU+c55wYJaC7atFk6lZVnpFWrpYodBQAa1JAhH2S33W7OjBnV7t+hWTGTE+ArVVXV5D//eTM9ew7L44+/N8+NkFmbQHM0a1ZNzjprQC66aLdiRwGABvPKKxPSrVvvzJhRncT9O7DwzORcCGZyQtM1YsTEXHfdS7npppfz8cczix0HYIlq3XqpVFaemWWWMZsTgNL3zjufpGvX6zNhwvRiRwEahZmcAPOYNm127rxzRHr2HJahQz+c55zlLEBLUlVVm9NPfzyXX75HsaMAwNfy0UeV2W23mxWcwGJTcgIloVAo5Pnnx+bf/34xt98+ItOmzf6CcUs4GECR/fOfz+eCC36QNm1aFTsKACyWjz+ekd13vyWjR08pdhSghCk5gSZt9uza3Hbbq/nrX5/JK69MmOecWZsAc/49ecop/XLVVT8pdhQAWGTTps3OT37SOyNHTip2FKDElRc7AMCCTJkyKxdf/HTWXfeKHHrof+oLzrKy/41RcALMce21L2bGjAXPcAeApqqqqiY///ntee65j4odBWgGlJxAkzJmTEV+//u+WWuty3P66Y9n7NipSf5Xbio2AeZXXV2Xk07qW+wYALDQamrq0r37venff1SxowDNhJITaBJeemlcDjzw3qy33hX561+fydSpc2YkKTcBFs711w/P9OlmcwLQ9BUKhRx99IO5997Xk8y7WgtgcSk5gaIpFArp2/ed7LrrTdl662tz662vpra28LkxRQoHUGJqaupy/PGPFDsGAHypQqGQU055LDfcMDyJ5+wDDUfJCSxxs2fX5qabXs6WW16TH/3o1volKn6DC/D13HTTy6msrCp2DAD4QhdcMDh//eszSRScQMNScgJLTEXFrFxyydNZb70rcsgh9+fVVycmsSQdoKHU1hbSo0efYscAgAW65poX8sc/DkiSlJe7/wcalpITaHQffFCRU055LGuueXlOO+3xfPSRzYQAGkvv3q9lypRZxY4BAPO4/fbX8tvfzvlFXFlZUldX5EBAs6PkBBrN8OHjc9BB92W99a7MZZcNtZkQwBJQV1fIMcc8VOwYAFDv4YffzkEH3ZdCwRJ1oPEoOYEGVSgU8thj72a33W7Od77zr9xyyyupqan73JgihQNoIe66a2Q++WRGsWMAQAYPHpN9970zNTV1Ck6gUSk5gQYxe3Ztbr755Wy11b+yxx635PHH30tiMyGAYqirK+Soox4sdgwAWrjhw8dnzz17Z+bMmiQKTqBxLV3sAEBpq6iYlX//e1j+9rdn6p+1mfxvGYobGYDiuO++NzJx4vSsuupyxY4CQAv09tsfZ489bklFRVWxowAthJITWCwffFCRK698Nv/614v1z9pMlJsATUWhkBx55AN54IFfFzsKAC3Mhx9WZrfdbs7EidOLHQVoQZScwCJ5+eXxufTSobn99tfmedamchOg6XnoobcybtzUrLbaCsWOAkALMXnyjOy++815//2KYkcBWhjP5AS+UqFQSL9+72b33W/OVlvZTAigVBQKyeGHP1DsGAC0EFOnVuXHP741r78+udhRgBbITE7gC1VX1+b221/LpZcOzSuvTKg/bldEgNLRt+87+fDDyqyxRrtiRwGgGZs1qyZ77XV7XnhhbLGjAC2UkhOYT2VlVa699sVcccWz+fDDyvrjlqQDlJ5CITnssPvTr9/BxY4CQDNVU1OX/fe/O088MbrYUYAWTMkJ1Pvww8r6zYQqK/+3C6JyE6C0Pf74qIwe/WnWWWfFYkcBoJmpqyvkyCMfyH/+82YSq76A4lFyAnnllQm59NIhue02mwkBNFeHHfafPPHEocWOAUAzUigUcvLJfXPjjS8nScrLk7q6r3gRQCNRckILVSgU0r//qFxyyZA89ti7XzBmCYcCoNEMHPh+3nnnk2ywwUrFjgJAM3HeeU/miiueTTJngoSCEygmJSe0MNXVtbnjjhG59NIhefllmwkBtCT77XdX/vznnep//vy/9wufO7Ao57/Oaxf1fGNe+/Pnl+Tn+qr3TpINNlgpnTuvmXbtWs93DmBJ+sc/nsvZZw9MkpSXl6WuzpcJoLiUnNBCVFZW5d//fjF/+5vNhABaqpdeGp+f//yOYsfgayovL8umm66SnXZaO127rpWuXdfKGmu0K3YsoAW59dZXctxxjySZO4PTlwmg+MoKC/oVMfOorKxM+/btM3ny5Ky88srFjgOL5KOPKnPFFfNvJuR5OQA0prKyYidonr7ozv2b31whO++8Trp0WTNdu66VzTZbNeXl/kcAGt5DD72Vn//89tTWFqwGAxbRrCQXpqKiIu3aNfwvaJWcC0HJSSl69dUJufTSoend+9UFbiYEAJS+L/pzfYUVlknXrmtlhx3WSpcua+V731s9yy7baskHBJqVJ598P3vscUtmzarxvQJYDI1bclquDs3I3M2ELr10SPr2tZkQADR3X/Tn+tSps/PII+/kkUfeSZIsvXR5tt56tfol7ttvv2a+8Y22SzApUOqGDRuXn/70tsyaVZPE9wqg6TGTcyGYyUlTV11dmzvvHJFLLx2a4cPH1x/321UA4ItssMFK2Xnn/z3Xc731VkyZ5wwAC/Dmm5Ozww43ZNKkGcWOApQ0y9WLTslJU1VZWZWePYflb397Jh98MP9mQgAAC2vllZfNTjutkx12mFN6brVVpyy9dHmxYwFF9sEHFenS5fp5vm8ALB4lZ9EpOWlqPvqoMldeOWczoYqKz24mVGZnQwCgQSy77NLZdts1suOOc0rP7bZbIyus0LrYsYAlaNKk6dlhhxvy5psfFzsK0Cx4JifwX6++OiGXXTZnM6Hq6vk3E1JwAgANZebMmgwcODoDB45OMueXqZtvvmr9cz27dl0rq6++QnFDAo2msrIqP/rRrQpOoGSYybkQzOSkmAqFQgYMGJVLLx2aRx99p9hxAADqrblmu+y88zrp0mXNdO26VjbZZJWUl3uuJ5S6mTOr8+Mf35pBg94vdhSgWbFcveiUnBRDdXVt7rprZC69dEheemn8V78AAKDI2rVrXf9Mz65d18p3v7t62rSxeAxKSXV1bfbZ5848+OBbxY4CNDuWq0OLMnXq3M2Ens2YMRX1x20mBAA0dZWVVenT5+306fN2kqRVq/Jss83q9c/13H77NbPyym2LnBL4InV1hRx++AMKTqAkmcm5EMzkZEkYO3Zqrrzy2VxzzQs2EwIAmq1vfWvl7Lzz2unSZU7xue66HVJWZok7FFuhUMgJJzyav//9uSQmWQCNwUxOaNZee21iLrtsaG699RWbCQEAzd5bb32ct976ONdeOyxJssoqbbPzzuuka9e10qXLmtlyy05ZeunyIqeElufccwcpOIGSZibnQjCTk4ZWKBTyxBOjc8klQ2wmBADwGcsuu3Q6d16zfon7ttuukeWXX6bYsaBZu/LKZ3PCCY8mUXACjclMTmg2amrqctddI3LppUMzbNi4YscBAGhyZs6syYABozJgwKgkcx7ds8UWq2annf4323O11VYockpoPm6++eX6grO8PKmr+4oXADRRZnIuBDM5+bqmTq3Kdde9lMsvf8ZmQgAAX9Naa7XPzjuvXb+L+8Ybf8NzPWExPPDAm9l77ztSW1vw3QRYAhp3JqeScyEoOVlcY8dOzd///myuuebFTJkyq/64zYQAABpOhw6t07XrWtlhhznF5zbbrJbWrS1agy8zcODo/OhHt6SqqlbBCSwhjVtyFvWJ3ldffXW22GKLtGvXLu3atUvnzp3zyCOP1J+fNWtWevTokZVXXjnLL7989tlnn0yYMGGea4wZMybdunVL27Zts+qqq+bUU09NTU3NPGMGDhyYrbfeOq1bt84GG2yQXr16LYmPRws2YsTEHH74f7LOOn/LhRc+XV9wzp1goOAEAGg4U6ZU5aGH3s7ppz+eLl2uzworXJAuXa7PmWc+nj593sqnn84sdkRoUl54YWx+9rPbUlVVm0TBCTQPRf315hprrJELL7wwG264YQqFQm688cbstddeeemll7LZZpvlpJNOSp8+fXLXXXelffv2Oe6447L33nvn6aefTpLU1tamW7du6dSpU4YMGZJx48bl4IMPTqtWrXL++ecnSUaNGpVu3brlmGOOya233pr+/fvnyCOPzGqrrZY99tijmB+fZqZQKGTgwDmbCT3yyII3E3LzAADQ+Kqr6zJkyAcZMuSDJHO+O2y88Tey885rp0uXOUvc1167vSXutEivvz4pP/rRLZk6dXaxowA0qCa3XH2llVbKJZdckn333TerrLJKevfunX333TdJ8sYbb2STTTbJ0KFDs9122+WRRx7JnnvumbFjx6Zjx45JkmuuuSann356Jk2alGWWWSann356+vTpk9dee63+Pfbff/9MmTIljz766EJlslydL1NTU5e77x6ZSy4ZYjMhAIAS0bHjctl553XSpcua6dp1rWyxRccstVRRF7pBo3v//Snp2vWGfPhhZbGjAC1SC9ldvba2NnfddVemT5+ezp0758UXX0x1dXV23XXX+jEbb7xx1lprrfqSc+jQofn2t79dX3AmyR577JFjjz02I0aMyHe+850MHTp0nmvMHXPiiSd+YZaqqqpUVVXV/1xZOecPgOrq6lRXVzfQJ6bUTZs2OzfcMDxXXvl83n//f5sJtWpVlvLyOc/dBACg+AqFQurq5jwyaM5/JhMmTM8dd4zIHXeMSJK0bdsqnTt/M127rpXtt18j3//+6lluuWWKnBwazsSJ07Prrjfnww8rU1aWtG5dZjYzsEQVCuWZNeurxy2uopecr776ajp37pxZs2Zl+eWXz3333ZdNN900w4cPzzLLLJMOHTrMM75jx44ZP358kmT8+PHzFJxzz88992VjKisrM3PmzCy77LLzZbrgggty7rnnznf8iSeeSNu2bRf7s9I8fPJJdfr0mZRHH/0406fPeYZN+/ZL5yc/+UZ+/ONvpF27ov/fCgCAL1FVVZe3356R11+fltdfn5433pieGTOq07//6PTvPzpJUl6erL9+22yyyXLZeOPlsskmy2XFFVsVNzgspunTa3PWWe9k1KiZWWWVVrnggg3zjW8o8YEla8aMGenevfGuX/Q2ZqONNsrw4cNTUVGRu+++O4ccckgGDRpU1ExnnnlmTj755PqfKysrs+aaa2aXXXaxXL0FGzlyUi6//NncdtsbmT17TrlZVjZn5mZVVW3uv39i7r9/YpFTAgCwqAqFQlq3Lptvtufbb8/I22/PyAMPTEqSrL12++y009rp0mWNdO68RjbaaGUz4WjyZsyozp573p5Ro+ZswFVZWZPjj3+jyKmAlqhQaMRpnGkCJecyyyyTDTbYIEmyzTbb5Pnnn88VV1yRX/3qV5k9e3amTJkyz2zOCRMmpFOnTkmSTp065bnnnpvnenN3X//smM/vyD5hwoS0a9dugbM4k6R169Zp3br1fMdbtWqVVq389rYlKRQKGTTo/VxyyZA8/PDbCzifzJ4997G2TerxtgAANLD336/ITTe9kptueiVJsuKKbbLDDmtlhx3WTteua2XrrVfLMsssVeSU8D/V1bXp3v3+DB78Qf2xqqpCfHcBiqOuUa/eICXn54vIr6Ouri5VVVXZZptt0qpVq/Tv3z/77LNPkuTNN9/MmDFj0rlz5yRJ586d83//93+ZOHFiVl111SRJv3790q5du2y66ab1Yx5++OF53qNfv37114AFmbuZ0KWXDsmLL9pMCACA+X366aw88MBbeeCBt5IkyyyzVL7//dWz445zSs/OnddMhw5tipySlqqurpBDDrl/gZM1AJqjRS45L7rooqyzzjr51a9+lSTZb7/9cs8996RTp055+OGHs+WWWy70tc4888z8+Mc/zlprrZWpU6emd+/eGThwYPr27Zv27dvniCOOyMknn5yVVlop7dq1y/HHH5/OnTtnu+22S5Lsvvvu2XTTTXPQQQfl4osvzvjx43PWWWelR48e9TMxjznmmFx11VU57bTTcvjhh2fAgAG5884706dPn0X96LQA06bNznXXDcvllz8zz2ZCZWVzZm0CAMAXmT27NoMHf1A/a66sLNl4429k553XSdeua6Vr17Wy1lrti5ySlqBQKOT44x/Obbe9lsT3GaBlKCsUFu1fdeuuu25uvfXWbL/99unXr1/222+/3HHHHbnzzjszZsyYPPbYYwt9rSOOOCL9+/fPuHHj0r59+2yxxRY5/fTTs9tuuyVJZs2ald///ve57bbbUlVVlT322CP//Oc/65eiJ8n777+fY489NgMHDsxyyy2XQw45JBdeeGGWXvp//e3AgQNz0kknZeTIkVljjTXypz/9KYceeuhC56ysrEz79u0zefJkz+RspsaNm5qrrnouV1/9Qj799H/PiCgvL0tdnbsBAAAaxve/v3pOPHG77L33JmnduuhPD6OZ+tOfBuS8855KouAEmpJZSS5MRUVF2rVr1+BXX+SSc9lll81bb72VNddcMyeccEJmzZqVf/3rX3nrrbey7bbb5tNPP23wkMWm5Gy+Ro6clMsuG5Jbbnm1fjOhxI0AAACNq0OH1jnmmO/mmGO+m7XX7lDsODQjl18+NCefPGfyke81QNPSuCVn+aK+YMUVV8wHH8xZfvHoo49m1113TTJnOnxtbe2XvRSahDmbCY3Onnv2zmab/TPXXz98noJzzpgihQMAoEWYMqUqF174dNZd94r8+Me35NFH37GCiK+tV6/h9QVneXmZ7zVAi7LI6yP23nvvdO/ePRtuuGE+/vjj/PjHP06SvPTSS/W7pENTVFNTl3vuGZlLLx2aF14YW+w4AACQQiF59NF38+ij7+ab31whJ5ywbQ477Dv5xjfaFjsaJeb++9/IEUc8kGTODE6lOdDSLPJy9erq6lxxxRX54IMPcuihh+Y73/lOkuTyyy/PCiuskCOPPLJRghaT5eqlq6amLi++ODb9+r2X6657KaNHT6k/Z+kGAABN0dJLl2e//TbN8cdvm223/WbKysqKHYkmrn//9/KTn/TO7Nm1vucATVgTeyZnS6TkLB2FQiFvvDE5/fuPyuOPv5cnnhidysqqecb4Qx8AgFKx6aar5KSTtsuvf715lltumWLHoQl67rmP8oMf3Jjp06uLHQXgKzSRZ3L+9re/zbRp0+p/vu222zJ9+vT6n6dMmZKf/OQnDZsOFsJHH1XmpptezsEH35c11rg8m276zxx//CP5z3/enK/gTBScAACUjpEjJ+Woox7MqqtemuOPfyRvvDG52JFoQkaOnJQf//hWBSdAFmEm51JLLZVx48Zl1VVXTZK0a9cuw4cPz3rrrZckmTBhQlZfffVmufmQmZxNy5QpszJw4Oj07/9eHn981Bfe6JmxCQBAc9S161o54YRts9deG6VVq6WKHYciGT16Srp0uT5jx04tdhSAhdS4MzkXeuOhz3ehVrmzpMyaVZOhQz/I44+/l/79R+X558cu8CHany81/SMKAEBzNHjwmAwePCYrr7xsevT4Xo4+ept885sN/2WRpmv8+GnZbbebFZwAn7HIu6tDY6utrcvw4ePrn6v51FNjMmtWzXzjlJoAALRkH388M3/5y5M577yn0q3bhjnhhG3zgx+sa6OiZm7KlFnZY49b8s47nxQ7CkCTouSk6AqFQt5999P6mZoDBozKJ5/MnG+cUhMAAOZXV1fIgw++lQcffCvrrNMhJ564bQ45ZKt06NCm2NFoYNOnz063br3zyisTih0FoMlZpJLz7LPPTtu2bZMks2fPzv/93/+lffv2SZIZM2Y0fDqarQkTpmXAgDkzNR9/fFTGjKn4ytcoNQEA4MuNHj0lJ57YN6ed9ni6d988xx+/bbbeerVix6IBzJ5dm333vStDhnxQ7CgATdJCbzy08847L9SyhyeeeOJrh2pqbDz09U2dWpUnn3y/frbmq69OXOA4mwUBAEDD2mqrTjnxxG2z336bZdllWxU7DouhtrYuBxxwb+64Y0SxowB8DY278dBCl5wtmZJz0VVX1+bZZz/670zN9/Lssx+lpqZuvnFKTQAAWDJWWGGZHHXUNvntb7+b9ddfqdhxWEiFQiHHHtsn//rXi0l8hwJKWRMpOU855ZQceeSR2XjjjRs8RFOn5PxqdXWFvPbaxPTvP2f5+aBBozN9evV84/yBDAAAxbfLLuvkxBO3S7duG2appcqLHYcv8Yc/9M8FFwxOkpSXJ3Xzzx0BKBFNpOTccMMN895772XbbbfNkUcemV/96ldZbrnlGjxQU6TkXLD3359S/0zNAQNGZeLE6fONUWoCAEDT1bHjcjnuuO/nqKO2TseOyxc7Dp9zySVP57TTHk/iuxXQHDSRkjNJnnzyyVx//fW55557kiS//OUvc+SRR2b77bdv8GBNiZJzjo8/npEnnhhdvwT93Xc/XeA4f/gCAEBpWWqpsvziFxvnd7/bNl27rrVQ+zHQuK67bliOPPLBJEl5eVnq6nzJAkpdEyo555o+fXruuOOO3HDDDXn66aez0UYb5YgjjshBBx2Ujh07NnjIYmupJeeMGdUZPHhM/WZBL700boHlpVITAACajw02WCknnbRdDjxwi7Rr17rYcVqke+4Zmf32uzt1dQXft4BmpAmWnJ/1zjvv5IYbbsg111yTadOmpaqqqqGyNRktpeSsqanLCy+MrX+u5pAhH2T27Nr5xvlDFgAAmr82bZbOwQdvkeOO+36+/e3mN5mlqerX793suedtmT271ncvoJlp3JJz6a/z4unTp+epp57KoEGD8umnn2ajjTZqqFwsAYVCIW+8Mbl+puYTT4xOZeX8JfXn/2D1hywAADR/s2bV5Nprh+Xaa4fle99bPSedtF323nuTtG79tb5G8iWeeebD/OIXd9RPNvHdC2DhLdZMzsGDB+f666/P3XffnUKhkF/+8pc54ogj0qVLl8bIWHTNaSbnRx9Vpn//UfXF5tixU4sdCQAAKBEdOrTOMcd8N8cc892svXaHYsdpVl57bWJ23PGGfPrprGJHAWgkTWS5+rhx43LjjTemV69eeeutt7Lddtvl8MMPz/7775/ll2/eu/CVcsk5ZcqsDBw4un4J+htvTF7gOMsgAACAhVVWluyxx/o54YTtsvvu66e83EZFX8d7732arl2vz7hx04odBaARNZGSc+mll87KK6+cgw46KEcccUQ22WSTBg/TVJVSyTlrVk2GDv3gvzugj8oLL4xd4C58Sk0AAKAhfPObK+SEE7bNYYd9J9/4Rttixyk548ZNTdeuN+S99z4tdhSARtZESs577703P/vZz7L00i3v+StNueSsra3L8OHj65efP/XUmMyaVTPfOKUmAADQmJZeujz77bdpjj9+22y77TdTVmZ251f55JOZ2WmnXnnttYnFjgKwBDSRknPs2LH561//mrPPPnu+IBUVFTnvvPNyyimnpGPH5rfrXlMqOQuFQt5999P/ztR8L088MTqffDJzvnFKTQAAoFg23XSVnHTSdvn1rzfPcsstU+w4TdL06bOz664355lnPix2FIAlpImUnKecckoqKytz7bXXLvD8Mccck/bt2+eiiy5q0IBNQbFLzgkTpmXAgFH1S9DHjKlY4hkAAAAWVdu2rXL44d9Jjx7fy8Ybf6PYcZqMqqqa/PSnt6Vfv/eKHQVgCWoiJefmm2+ea665Jl27dl3g+SFDhuSoo47KiBEjGjRgU7CkS86pU6vy5JPv1y9Bf/XVBS9dMFsTAAAoFV27rpUTTtg2e+21UVq1WqrYcYqmtrYu++9/T+6+e2SxowAsYY1bci70AzZHjRqVtdZa6wvPr7HGGhk9enRDZGpxqqtr8+yzH9UvQX/22Y9SU1M337jPl5oKTgAAoFQMHjwmgwePycorL5sePb6Xo4/eJt/8ZsN/yW3KCoVCjjnmofqC08QVgIaz0CXnsssum9GjR39h0Tl69Ogsu+yyDRasOaurK+S11ybWz9QcNGh0pk+vnm+cUhMAAGhuPv54Zv7ylydz3nlPpVu3DXPCCdvmBz9Yt0VsVHTGGY+nZ8+XkiTl5Und/HNbAFhMC11ybrvttrn55puz4447LvD8TTfdlO9///sNFqy5GT16Svr3n/NMzQEDRmXixOnzjVFqAgAALUVdXSEPPvhWHnzwrayzToeceOK2OeSQrdKhQ5tiR2sUF100OBdfPCTJnO9+Ck6AhrXQJecpp5yS3XbbLe3bt8+pp55av4v6hAkTcvHFF6dXr1557LHHGi1oqfn44xkZMGBU+vefs2HQu+9+usBxny02lZoAAEBLNHr0lJx4Yt+cdtrj6d598xx//LbZeuvVih2rwVx77Ys544z+SZLy8rLU1fnyB9DQFnrjoST517/+lRNOOCHV1dVp165dysrKUlFRkVatWuXyyy/Pscce25hZi2ZhNh6aMaM6gwePqV+C/tJL4xZYWnrmCgAAwFfbaqtOOfHEbbPffptl2WVbFTvOYrvzzhHZf/+7Uyj4Pgi0dE1kd/W5Pvroo9x555155513UigU8q1vfSv77rtv1lhjjQYP11QsqOSsqanLCy+MrV+CPmTIB5k9u3a+1/pDDAAAYPGtsMIyOeqobfLb334366+/UrHjLJK+fd/JT396W6qr63w3BGhqJWdLNLfkfPrpN/Pii5+mf/9ReeKJ0amsrJpvrD+4AAAAGscuu6yTE0/cLt26bZilliovdpwvNWTIB9ltt5szY0a174kASZScTcDckjM5I0nzfAg2AABAqejYcbkcd9z3c9RRW6djx+WLHWc+r7wyITvt1CtTpswqdhSAJqRxS86m/auvJqqsrNgJAAAAWq4JE6bnT396It/85l/zy1/emaeeej9NZf7OO+98kt13v1nBCbCEKTkXQevWc9rNJvJnJwAAQItWW1vI3Xe/nh137JVvfeuq/POfzy/wsWJLykcfVWa33W7OhAnTi5YBoKVSci6CMlM4AQAAmqR33vkkPXo8nI4dL81vfvNgXn11whJ9/48/npHdd78lo0dPWaLvC8Aci1xynn322XniiScya5ap9wAAADQts2bV5Nprh2WLLa7J97//79x226upqqpp1PecNm12fvKT3hk5clKjvg8AX2yRS86hQ4fmpz/9aTp06JAddtghZ511Vh5//PHMnDmzMfIBAADAYnn++bHp3v3edOx4ac488/G8//6UBn+Pqqqa/Pznt+e55z5q8GsDsPAWa3f1mpqaPPvss3nyySczaNCgDBkyJFVVVfne976XwYMHN0bOopq7u3qbNn/IrFnLFDsOAAAAi6GsLNljj/VzwgnbZffd1095+dd7JFlNTV1+9au7c++9rzdQQoDmrHF3V196sV609NLp0qVLVllllay00kpZYYUVcv/99+eNN95o6HwAAADQIAqF5NFH382jj76bb35zhZxwwrY57LDv5BvfaLsY1yrk6KMfrC84y8psUgtQTIu8XP3aa69N9+7d881vfjPbb799Hn300XTt2jUvvPBCJk3y/BEAAACavo8+mprTTns8q612WQ444J4888yHWdiFjoVCIaec8lhuuGF4EgUnQFOwyMvVy8vLs8oqq+T3v/99fvvb32b55ZdvrGxNhuXqAAAAzd+mm66Sk07aLr/+9eZZbrkv/u53/vlP5Y9/HJBEwQmw8Bp3ufoiz+S89957c8ABB+T222/PKqusku233z5/+MMf8thjj2XGjBkNHhAAAACWhJEjJ+Woox7MqqtemuOPfyRvvDF5vjFXX/18fcFZXq7gBGgqFmvjobkqKiry1FNP5a677sptt92W8vLyzJo1qyHzNQlmcgIAALRMXbuumRNO2C577bVR7r57ZA444N4UCmZwAiy6Jrjx0Mcff5xBgwZl4MCBGThwYEaMGJEVV1wxO+ywQ0PnAwAAgKIZPPiDDB78QVZeedlUVFQpOAGaqEUuOb/97W/n9ddfz4orrpgdd9wxRx11VHbaaadsscUWjZEPAAAAiu7jj2cmUXACNFWLXHIec8wx2WmnnbL55ps3Rh4AAABoshScAE3TIpecPXr0SJLMnj07o0aNyvrrr5+ll16sVe8AAAAAAF/bIu+uPnPmzBxxxBFp27ZtNttss4wZMyZJcvzxx+fCCy9s8IAAAAAAAF9mkUvOM844Iy+//HIGDhyYNm3a1B/fddddc8cddzRoOAAAAACAr7LI68zvv//+3HHHHdluu+1SVlZWf3yzzTbLu+++26DhAAAAAAC+yiLP5Jw0aVJWXXXV+Y5Pnz59ntITAAAAAGBJWOSS87vf/W769OlT//PcYrNnz57p3LlzwyUDAAAAAFgIi7xc/fzzz8+Pf/zjjBw5MjU1NbniiisycuTIDBkyJIMGDWqMjAAAAAAAX2iRZ3J27do1w4cPT01NTb797W/nsccey6qrrpqhQ4dmm222aYyMAAAAAABfaJFncibJ+uuvn3//+98NnQUAAAAAYJEt8kxOAAAAAICmZKFncpaXl3/l7ullZWWpqan52qEAAAAAABbWQpec99133xeeGzp0aK688srU1dU1SCgAAAAAgIW10CXnXnvtNd+xN998M2eccUYefPDBHHDAAfnLX/7SoOEAAAAAAL7KYj2Tc+zYsTnqqKPy7W9/OzU1NRk+fHhuvPHGrL322g2dDwAAAADgSy1SyVlRUZHTTz89G2ywQUaMGJH+/fvnwQcfzOabb95Y+QAAAAAAvtRCL1e/+OKLc9FFF6VTp0657bbbFrh8HQAAAABgSSsrFAqFhRlYXl6eZZddNrvuumuWWmqpLxx37733Nli4pqKysjLt27dPmzZ/yKxZyxQ7DgAAAACUmFlJLkxFRUXatWvX4Fdf6JmcBx98cMrKyho8AAAAAADA17HQJWevXr0aMQYAAAAAwOJZrN3VAQAAAACaCiUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSlJwAAAAAQElTcgIAAAAAJU3JCQAAAACUNCUnAAAAAFDSilpyXnDBBfne976XFVZYIauuump+/vOf580335xnzKxZs9KjR4+svPLKWX755bPPPvtkwoQJ84wZM2ZMunXrlrZt22bVVVfNqaeempqamnnGDBw4MFtvvXVat26dDTbYIL169WrsjwcAAAAALAFFLTkHDRqUHj165Jlnnkm/fv1SXV2d3XffPdOnT68fc9JJJ+XBBx/MXXfdlUGDBmXs2LHZe++968/X1tamW7dumT17doYMGZIbb7wxvXr1ytlnn10/ZtSoUenWrVt22WWXDB8+PCeeeGKOPPLI9O3bd4l+XgAAAACg4ZUVCoVCsUPMNWnSpKy66qoZNGhQdtxxx1RUVGSVVVZJ7969s++++yZJ3njjjWyyySYZOnRotttuuzzyyCPZc889M3bs2HTs2DFJcs011+T000/PpEmTsswyy+T0009Pnz598tprr9W/1/77758pU6bk0Ucf/cpclZWVad++fdq0+UNmzVqmcT48AAAAADRbs5JcmIqKirRr167Br750g1/xa6ioqEiSrLTSSkmSF198MdXV1dl1113rx2y88cZZa6216kvOoUOH5tvf/nZ9wZkke+yxR4499tiMGDEi3/nOdzJ06NB5rjF3zIknnrjAHFVVVamqqqr/ubKyMkmy7LLlKSvzGFMAAAAAWBSFQnlmzWq86zeZkrOuri4nnnhiunTpks033zxJMn78+CyzzDLp0KHDPGM7duyY8ePH14/5bME59/zcc182prKyMjNnzsyyyy47z7kLLrgg55577nwZ//GPTdO2bdvF/5AAAAAA0ALNmDEj3bs33vWbTMnZo0ePvPbaaxk8eHCxo+TMM8/MySefXP9zZWVl1lxzzfToMdJydQAAAABYRIVCI07jTBMpOY877rg89NBDefLJJ7PGGmvUH+/UqVNmz56dKVOmzDObc8KECenUqVP9mOeee26e683dff2zYz6/I/uECRPSrl27+WZxJknr1q3TunXr+Y7PnFmXWbPqFu9DAgAAAECL1bidWlEfMFkoFHLcccflvvvuy4ABA7LuuuvOc36bbbZJq1at0r9///pjb775ZsaMGZPOnTsnSTp37pxXX301EydOrB/Tr1+/tGvXLptuumn9mM9eY+6YudcAAAAAAEpXUWdy9ujRI717985//vOfrLDCCvXP0Gzfvn2WXXbZtG/fPkcccUROPvnkrLTSSmnXrl2OP/74dO7cOdttt12SZPfdd8+mm26agw46KBdffHHGjx+fs846Kz169KifjXnMMcfkqquuymmnnZbDDz88AwYMyJ133pk+ffoU7bMDAAAAAA2jrFAoFIr25mVlCzx+ww035NBDD02SzJo1K7///e9z2223paqqKnvssUf++c9/1i9FT5L3338/xx57bAYOHJjlllsuhxxySC688MIsvfT/OtyBAwfmpJNOysiRI7PGGmvkT3/6U/17fJXKysq0b98+bdr8wTM5AQAAAGCRzUpyYSoqKtKuXbsGv3pRS85SoeQEAAAAgK+jcUvOoj6TEwAAAADg61JyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKKWnI++eST+elPf5rVV189ZWVluf/+++c5XygUcvbZZ2e11VbLsssum1133TVvv/32PGM++eSTHHDAAWnXrl06dOiQI444ItOmTZtnzCuvvJIddtghbdq0yZprrpmLL764sT8aAAAAALCEFLXknD59erbccsv84x//WOD5iy++OFdeeWWuueaaPPvss1luueWyxx57ZNasWfVjDjjggIwYMSL9+vXLQw89lCeffDJHH310/fnKysrsvvvuWXvttfPiiy/mkksuyTnnnJNrr7220T8fAAAAAND4ygqFQqHYIZKkrKws9913X37+858nmTOLc/XVV8/vf//7nHLKKUmSioqKdOzYMb169cr++++f119/PZtuummef/75fPe7302SPProo/nJT36SDz/8MKuvvnquvvrq/PGPf8z48eOzzDLLJEnOOOOM3H///XnjjTcWKltlZWXat2+fNm3+kFmzlmn4Dw8AAAAAzdqsJBemoqIi7dq1a/CrL93gV2wgo0aNyvjx47PrrrvWH2vfvn223XbbDB06NPvvv3+GDh2aDh061BecSbLrrrumvLw8zz77bH7xi19k6NCh2XHHHesLziTZY489ctFFF+XTTz/NiiuuON97V1VVpaqqqv7nysrKJMmyy5anrMxjTAEAAABgURQK5fnM4uwG12RLzvHjxydJOnbsOM/xjh071p8bP358Vl111XnOL7300llppZXmGbPuuuvOd4255xZUcl5wwQU599xz5zv+j39smrZt2y7mJwIAAACAlmnGjBnp3r3xrt9kS85iOvPMM3PyySfX/1xZWZk111wzPXqMtFwdAAAAABZRodCI0zjThEvOTp06JUkmTJiQ1VZbrf74hAkTstVWW9WPmThx4jyvq6mpySeffFL/+k6dOmXChAnzjJn789wxn9e6deu0bt16vuMzZ9Zl1qy6xftAAAAAANBiNW6n1mQfMLnuuuumU6dO6d+/f/2xysrKPPvss+ncuXOSpHPnzpkyZUpefPHF+jEDBgxIXV1dtt122/oxTz75ZKqrq+vH9OvXLxtttNECl6oDAAAAAKWlqCXntGnTMnz48AwfPjzJnM2Ghg8fnjFjxqSsrCwnnnhizjvvvDzwwAN59dVXc/DBB2f11Vev34F9k002yY9+9KMcddRRee655/L000/nuOOOy/7775/VV189SdK9e/css8wyOeKIIzJixIjccccdueKKK+ZZjg4AAAAAlK6iLld/4YUXsssuu9T/PLd4POSQQ9KrV6+cdtppmT59eo4++uhMmTIlXbt2zaOPPpo2bdrUv+bWW2/Ncccdlx/+8IcpLy/PPvvskyuvvLL+fPv27fPYY4+lR48e2WabbfKNb3wjZ599do4++ugl90EBAAAAgEZTVigUCsUO0dRVVlamffv2adPmDzYeAgAAAIBFNivJhamoqEi7du0a/OpN9pmcAAAAAAALQ8kJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASVNyAgAAAAAlTckJAAAAAJQ0JScAAAAAUNKUnAAAAABASWtRJec//vGPrLPOOmnTpk223XbbPPfcc8WOBAAAAAB8TS2m5Lzjjjty8skn589//nOGDRuWLbfcMnvssUcmTpxY7GgAAAAAwNfQYkrOv/71rznqqKNy2GGHZdNNN80111yTtm3b5vrrry92NAAAAADga1i62AGWhNmzZ+fFF1/MmWeeWX+svLw8u+66a4YOHTrf+KqqqlRVVdX/XFFRkSRp06a68cMCAAAAQDNTKFSnqiopFAqNcv0WUXJOnjw5tbW16dix4zzHO3bsmDfeeGO+8RdccEHOPffc+Y5PmXJJo2UEAAAAgOZu6tSpad++fYNft0WUnIvqzDPPzMkn///27j2upnT/A/hn750upCglmi5uJZNKLok56KaQI0pJ51TCvJDLuB1y63LEcI7LNI7LmaHMSEUotxpExjQZaYiShjOaxlHpGDG5JLV+f/i1py0zMmrv9uzP+/Xaf6xnPevZ38djrdX+rmettUC6XFlZCTMzM5SUlLTIIJB8DBw4EDk5OYoOg94Cx1D5cQyVG8dP+XEMlR/HULlx/JQfx1D5cQyVH8dQeQmCgP79+6Nr164t0r5KJDk7deoEiUSC8vJymfLy8nIYGRk1qq+hoQENDY1G5bq6utDR0WmxOKllSSQSjp+S4xgqP46hcuP4KT+OofLjGCo3jp/y4xgqP46h8uMYKjd1dXWIxS3ziiCVePGQuro6+vfvj4yMDGlZXV0dMjIy4OjoqMDISJ5CQ0MVHQK9JY6h8uMYKjeOn/LjGCo/jqFy4/gpP46h8uMYKj+OoXJryfETCS31tM9WJikpCUFBQdixYwcGDRqEzZs3Y9++fbh+/XqjZ3W+7OHDh9DV1cWDBw94tYCIiIiIiIiIiKiVUYnb1QHAz88PFRUVWLVqFcrKymBnZ4f09PTXJjiBF7evh4eHv/IWdiIiIiIiIiIiIlIslZnJSURERERERERERH9MKvFMTiIiIiIiIiIiIvrjYpKTVJZIJEJKSoqiwyAiIiJ6K/ybhoiIiIhJTlJywcHBEIlEjT43b95UdGjUBPXjN2PGjEbrQkNDIRKJEBwcLP/A6HfJzs6GRCLBmDFjFB0KNQH3vz+e4OBgeHl5KToMagYcS+XDc6Byq6iowMyZM2FqagoNDQ0YGRnB3d0dWVlZig6N3tCPP/6IkJAQdO3aFerq6jAzM8O8efNw7969Jm2fmZkJkUiEysrKlg2UpOr/Jv3www9lylNSUiASiRQUFb2JhnmZNm3aoHPnznBzc8OuXbtQV1cn11iY5CSl5+HhgdLSUplPt27dFB0WNZGJiQkSExPx5MkTadnTp0+xd+9emJqavlXbNTU1bxsevYGdO3dizpw5+PLLL3Hnzp23aqu2tlbuJ0RV1JL7HxGRKmnOcyDJn7e3Ny5duoTdu3fju+++w+HDhzFixIgmJ8aodfj+++8xYMAA3LhxAwkJCbh58ya2b9+OjIwMODo64qefflJ0iPQrNDU1sW7dOty/f1/RodDvVJ+XKS4uRlpaGpycnDBv3jx4enri+fPncouDSU7warmyq7/a2vAjkUiQmpoKe3t7aGpqonv37oiMjGy0c5WWlmLUqFHQ0tJC9+7dkZycrKBeqC57e3uYmJjg4MGD0rKDBw/C1NQU/fr1k5alp6fjvffeQ4cOHaCvrw9PT0/85z//ka4vLi6GSCRCUlIShg8fDk1NTcTHx8u1L6qsqqoKSUlJmDlzJsaMGYO4uDjpuvor4seOHYONjQ00NTUxePBg5OfnS+vExcWhQ4cOOHz4MPr06QMNDQ2UlJQooCeqpbn2P2dnZ8yePVum7YqKCqirqyMjI6PlO0KNmJubY/PmzTJldnZ2iIiIkC6LRCJ8+umnGD9+PNq2bYtevXrh8OHD8g2UXqspY0mK9VvnwPrzW0Ovmp20evVqGBoaon379pg2bRqWLl0KOzu7lg+eUFlZiXPnzmHdunVwcnKCmZkZBg0ahLCwMPz5z3+W1pk2bRoMDAygo6MDZ2dn5OXlSduIiIiAnZ0dduzYARMTE7Rt2xa+vr548OCBorqlkkJDQ6Guro4TJ05g+PDhMDU1xahRo3Dq1Cn897//xfLlywEA1dXVWLJkCUxMTKChoYGePXti586dKC4uhpOTEwCgY8eOvKtFjlxdXWFkZIS1a9f+ap0DBw7g3XffhYaGBszNzbFhwwbpumXLlsHBwaHRNra2toiKimqRmElWfV7G2NgY9vb2WLZsGVJTU5GWliY9L77uWAoAR44cwcCBA6GpqYlOnTph/PjxbxQHk5z0h3Tu3DkEBgZi3rx5uHbtGnbs2IG4uDhER0fL1Fu5ciW8vb2Rl5eHgIAATJo0CYWFhQqKWnWFhIQgNjZWurxr1y5MmTJFps6jR4+wYMECXLx4ERkZGRCLxRg/fnyj2X5Lly7FvHnzUFhYCHd3d7nET8C+ffvQu3dvWFpa4i9/+Qt27doFQRBk6ixevBgbNmxATk4ODAwMMHbsWJnZto8fP8a6devw6aefoqCgAIaGhvLuhkpqjv1v2rRp2Lt3L6qrq6Xb7NmzB8bGxnB2dpZPR+h3iYyMhK+vL65cuYLRo0cjICCAM12I3lBTzoG/JT4+HtHR0Vi3bh1yc3NhamqKbdu2tWDE1JC2tja0tbWRkpIicx5raOLEibh79y7S0tKQm5sLe3t7uLi4yBwvb968iX379uHIkSNIT0/HpUuXMGvWLHl1Q+X99NNP+OKLLzBr1ixoaWnJrDMyMkJAQACSkpIgCAICAwORkJCAmJgYFBYWYseOHdDW1oaJiQkOHDgAACgqKkJpaSk++ugjRXRH5UgkEqxZswYff/wxbt++3Wh9bm4ufH19MWnSJFy9ehURERFYuXKlNHkWEBCACxcuyFyELygowJUrVzB58mR5dYNe4uzsDFtbW+mEitcdS48dO4bx48dj9OjRuHTpEjIyMjBo0KA3+1KBhKCgIGHcuHGCIAhCWlqaMHToUEFXV1fQ09MTxowZI9y8eVNa99atWwIA4cCBA8KIESMELS0twcbGRvj6668VFL1qCwoKEiQSidCuXTvpx8fHR3BxcRHWrFkjU/fzzz8XunTpIl0GIMyYMUOmjoODgzBz5ky5xE6/7Ht3794VNDQ0hOLiYqG4uFjQ1NQUKioqhHHjxglBQUGv3LaiokIAIFy9elUQhF/2zc2bN8uxB1RvyJAh0n/7mpoaoVOnTsKZM2cEQRCEM2fOCACExMREaf179+4JWlpaQlJSkiAIghAbGysAEC5fviz32FVVc+5/T548ETp27CgdT0EQBBsbGyEiIkIeXaH/1/DvGTMzM2HTpk0y621tbYXw8HDpMgBhxYoV0uWqqioBgJCWliaHaOm3/J6xPHTokNziI1m/dQ6MjY0VdHV1ZeofOnRIaPgzzMHBQQgNDZWpM3ToUMHW1rYlw6YGkpOThY4dOwqamprCkCFDhLCwMCEvL08QBEE4d+6coKOjIzx9+lRmmx49egg7duwQBEEQwsPDBYlEIty+fVu6Pi0tTRCLxUJpaan8OqLCzp8//5vHwo0bNwoAhG+++UYAIJw8efKV9er/br1//37LBUsyGp7zBg8eLISEhAiCIHusnDx5suDm5iaz3eLFi4U+ffpIl21tbYWoqCjpclhYmODg4NDC0ZMgyI7hy/z8/AQrK6smHUsdHR2FgICAt4qFMzlf0tTZYsuXL8eiRYtw+fJlWFhYwN/fX67PGaBfODk54fLly9JPTEwM8vLyEBUVJb0yq62tjenTp6O0tBSPHz+Wbuvo6CjTlqOjI2dyKoCBgYH09q7Y2FiMGTMGnTp1kqlz48YN+Pv7o3v37tDR0YG5uTkANLqlecCAAfIKm/5fUVERLly4AH9/fwCAmpoa/Pz8sHPnTpl6Dfc3PT09WFpayuxv6urqsLGxkU/QJNUc+5+mpib++te/YteuXQCAb7/9Fvn5+bzFSwk03OfatWsHHR0d3L17V4ERESmXpp4DX9fGyzNV3njmCr0Vb29v3LlzB4cPH4aHhwcyMzNhb2+PuLg45OXloaqqCvr6+jK/LW7duiUza8zU1BTGxsbSZUdHR9TV1aGoqEgRXVJZwmtmURcXF0MikWD48OFyiojexLp167B79+5Gv8kLCwsxdOhQmbKhQ4fixo0bqK2tBfBiNufevXsBvPh/kJCQgICAAPkETr9KEASIRKImHUsvX74MFxeXt/o+teYI+o/E29tbZnnXrl0wMDDAtWvXYG1tLS1ftGiR9O2JkZGRePfdd3Hz5k307t1brvHSix9lPXv2lCmrqqpCZGQkJkyY0Ki+pqamvEKjNxASEiJ9pt+//vWvRuvHjh0LMzMzfPLJJ+jatSvq6upgbW2NZ8+eydRr166dXOKlX+zcuRPPnz9H165dpWWCIEBDQwNbtmxpcjtaWlp8g6KCNMf+N23aNNjZ2eH27duIjY2Fs7MzzMzM5NYHkiUWixv90HvVy9jatGkjsywSifjSr1amqWNJivG6cyDHT3loamrCzc0Nbm5uWLlyJaZNm4bw8HDMmjULXbp0QWZmZqNtXn7eKilOz549IRKJUFhY+Mpn+BUWFqJjx46NbmWn1mXYsGFwd3dHWFjYG18s9/f3x5IlS/Dtt9/iyZMn+PHHH+Hn59cygVKTFRYWolu3bqiqqnrtsbQ59k/O5HxJU2eLNZz50KVLFwDgzIdWxN7eHkVFRejZs2ejj1j8y3/78+fPy2x3/vx5WFlZyTtcwou3sT179gw1NTWNnqV57949FBUVYcWKFXBxcYGVlRXfvNdKPH/+HJ999hk2bNggM6M6Ly8PXbt2RUJCgrRuw/3t/v37+O6777i/tRLNsf/17dsXAwYMwCeffIK9e/ciJCREXuHTKxgYGKC0tFS6/PDhQ9y6dUuBEdHvxbFsvZpyDjQwMMDPP/+MR48eSbe7fPmyTDuWlpbIycmRKXt5meSvT58+ePToEezt7VFWVgY1NbVGvysa3vlQUlKCO3fuSJfPnz8PsVgMS0tLRYSvcvT19eHm5oatW7fiyZMnMuvKysoQHx8PPz8/9O3bF3V1dTh79uwr21FXVwcA6exAkr8PP/wQR44cQXZ2trTMysoKWVlZMvWysrJgYWEBiUQCAHjnnXcwfPhwxMfHIz4+Hm5ubnzGv4KdPn0aV69ehbe3d5OOpTY2Nm/90lLO5HxJU2eLNZz5UD/ziDMfWo9Vq1bB09MTpqam8PHxgVgsRl5eHvLz87F69Wppvf3792PAgAF47733EB8fjwsXLrzR7UXUfCQSifS2hPoTVb2OHTtCX18f//73v9GlSxeUlJRg6dKligiTXnL06FHcv38fU6dOha6ursw6b29v7Ny5E//4xz8AAFFRUdDX10fnzp2xfPlydOrUCV5eXgqIml7WXPvftGnTMHv2bLRr1+6N34RIzcvZ2RlxcXEYO3YsOnTogFWrVjUaW1IOHMvWqynnwC+++AJt27bFsmXLMHfuXHzzzTcyb18HgDlz5mD69OkYMGAAhgwZgqSkJFy5cgXdu3eXY29U17179zBx4kSEhITAxsYG7du3x8WLF7F+/XqMGzcOrq6ucHR0hJeXF9avXw8LCwvcuXNH+oKM+kclaWpqIigoCP/85z/x8OFDzJ07F76+vjAyMlJwD1XHli1bMGTIELi7u2P16tXo1q0bCgoKsHjxYhgbGyM6Ohp6enoICgpCSEgIYmJiYGtrix9++AF3796Fr68vzMzMIBKJcPToUYwePRpaWlrQ1tZWdNdUSt++fREQEICYmBhp2cKFCzFw4ED8/e9/h5+fH7Kzs7FlyxZs3bpVZtuAgACEh4fj2bNn2LRpk7xDV2nV1dUoKytDbW0tysvLkZ6ejrVr18LT0xOBgYEQi8WvPZaGh4fDxcUFPXr0wKRJk/D8+XMcP34cS5YsaXIcnMnZAGeL/XG4u7vj6NGjOHHiBAYOHIjBgwdj06ZNjW6djIyMRGJiImxsbPDZZ58hISEBffr0UVDUpKOjAx0dnUblYrEYiYmJyM3NhbW1NebPny9NnJFi7dy5E66uro1+3AEvfuBdvHgRV65cAfDiquy8efPQv39/lJWV4ciRI9Kr5aR4zbH/+fv7Q01NDf7+/nw0iALU1dVBTe3F9euwsDAMHz4cnp6eGDNmDLy8vNCjRw8FR0hNxbFUDk05B96+fRt79uzB8ePH0bdvXyQkJCAiIkKmbkBAAMLCwrBo0SLY29vj1q1bCA4O5nFUTrS1teHg4IBNmzZh2LBhsLa2xsqVKzF9+nRs2bIFIpEIx48fx7BhwzBlyhRYWFhg0qRJ+OGHH9C5c2dpOz179sSECRMwevRojBw5EjY2No0SMNSyevXqhYsXL6J79+7w9fVFjx498P7778PJyQnZ2dnQ09MDAGzbtg0+Pj6YNWsWevfujenTp0tnWxsbGyMyMhJLly5F586dpY/zIfmKioqSmURmb2+Pffv2ITExEdbW1li1ahWioqIa3dLu4+ODe/fu4fHjx5xMIWfp6eno0qULzM3N4eHhgTNnziAmJgapqamQSCRNOpaOGDEC+/fvx+HDh2FnZwdnZ2dcuHDhjeIQCa97Mq8KCA4ORmVlJQ4ePAhDQ0OMGjUK4eHh0tkqOTk5OHToELy8vFBcXIxu3brh0qVLsLOzAwBUVlaiY8eOOHPmDEaMGKHQvhARtTaZmZlwcnLC/fv3+eyqP7ji4mL06NEDOTk5sLe3V3Q4KsfDwwM9e/Z8o2fhUuvEsSQ3NzcYGRnh888/V3Qo1AQRERFISUlp9CgCIiKSL96ujl+ultfPVpk7dy6sra1haWmJmJgYJi6JiIh+Q01NDe7du4cVK1Zg8ODBTHDK2f3795GVlYXMzEzMmDFD0eHQW+BYqqbHjx9j+/btcHd3h0QiQUJCAk6dOoWTJ08qOjQiIiKlwiQnXrwwqP7t3K6urrh27ZrM+oaTXc3NzRu9IbFDhw6NyoiIiFRFVlYWnJycYGFhgeTkZEWHo3JCQkKQk5ODhQsXYty4cYoOh94Cx1I11d/CFx0djadPn8LS0hIHDhyAq6urokMjIiJSKip9u3r91XIfHx8kJibymQ1ERERERERERERKSKVncvJqORERERERERERkfJT6ZmcREREREREREREpPzEig6AiIiIiIiIiIiI6G0wyUlERERERERERERKTWWSnGvXrsXAgQPRvn17GBoawsvLC0VFRTJ1nj59itDQUOjr60NbWxve3t4oLy+Xrs/Ly4O/vz9MTEygpaUFKysrfPTRR7/6nVlZWVBTU4OdnV1LdYuIiIiIiIiIiEjlqUyS8+zZswgNDcX58+dx8uRJ1NTUYOTIkXj06JG0zvz583HkyBHs378fZ8+exZ07dzBhwgTp+tzcXBgaGmLPnj0oKCjA8uXLERYWhi1btjT6vsrKSgQGBsLFxUUu/SMiIiIiIiIiIlJVKvvioYqKChgaGuLs2bMYNmwYHjx4AAMDA+zduxc+Pj4AgOvXr8PKygrZ2dkYPHjwK9sJDQ1FYWEhTp8+LVM+adIk9OrVCxKJBCkpKbh8+XJLd4mIiIiIiIiIiEglqcxMzpc9ePAAAKCnpwfgxSzNmpoauLq6Suv07t0bpqamyM7O/s126tuoFxsbi++//x7h4eEtEDkRERERERERERE1pKboABShrq4OH3zwAYYOHQpra2sAQFlZGdTV1dGhQweZup07d0ZZWdkr2/n666+RlJSEY8eOSctu3LiBpUuX4ty5c1BTU8l/XiIiIiIiIiIiIrlSySxcaGgo8vPz8dVXX/3uNvLz8zFu3DiEh4dj5MiRAIDa2lpMnjwZkZGRsLCwaK5wiYiIiIiIiIiI6DeoXJJz9uzZOHr0KL788ku888470nIjIyM8e/YMlZWVMrM5y8vLYWRkJNPGtWvX4OLigvfffx8rVqyQlv/888+4ePEiLl26hNmzZwN4MWtUEASoqanhxIkTcHZ2btkOEhERERERERERqRiVSXIKgoA5c+bg0KFDyMzMRLdu3WTW9+/fH23atEFGRga8vb0BAEVFRSgpKYGjo6O0XkFBAZydnREUFITo6GiZNnR0dHD16lWZsq1bt+L06dNITk5u9J1ERERERERERET09lQmyRkaGoq9e/ciNTUV7du3lz5nU1dXF1paWtDV1cXUqVOxYMEC6OnpQUdHB3PmzIGjo6P0zer5+flwdnaGu7s7FixYIG1DIpHAwMAAYrFY+ozPeoaGhtDU1GxUTkRERERERERERM1DZZKc27ZtAwCMGDFCpjw2NhbBwcEAgE2bNkEsFsPb2xvV1dVwd3fH1q1bpXWTk5NRUVGBPXv2YM+ePdJyMzMzFBcXt3QXiIiIiIiIiIiI6BVEgiAIig6CiIiIiIiIiIiI6PcSKzoAIiIiIiIiIiIiorfBJCcREREREREREREpNSY5iYiIiIiIiIiISKkxyUlERERERERERERKjUlOIiIiIiIiIiIiUmpMchIREREREREREZFSY5KTiIiIiIiIiIiIlBqTnERERERERERERKTUmOQkIiIiIiIiIiIipcYkJxERERG1GsHBwRCJRBCJRGjTpg06d+4MNzc37Nq1C3V1dU1uJy4uDh06dGi5QImIiIioVWGSk4iIiIhaFQ8PD5SWlqK4uBhpaWlwcnLCvHnz4OnpiefPnys6PCIiIiJqhZjkJCIiIqJWRUNDA0ZGRjA2Noa9vT2WLVuG1NRUpKWlIS4uDgCwceNG9O3bF+3atYOJiQlmzZqFqqoqAEBmZiamTJmCBw8eSGeFRkREAACqq6uxaNEiGBsbo127dnBwcEBmZqZiOkpEREREzYZJTiIiIiJq9ZydnWFra4uDBw8CAMRiMWJiYlBQUIDdu3fj9OnT+Nvf/gYAGDJkCDZv3gwdHR2UlpaitLQUixYtAgDMnj0b2dnZSExMxJUrVzBx4kR4eHjgxo0bCusbEREREb09kSAIgqKDICIiIiICXjyTs7KyEikpKY3WTZo0CVeuXMG1a9carUtOTsaMGTPwv//9D8CLZ3J+8MEHqKyslNYpKSlB9+7dUVJSgq5du0rLXV1dMWjQIKxZs6bZ+0NERERE8qGm6ACIiIiIiJpCEASIRCIAwKlTp7B27Vpcv34dDx8+xPPnz/H06VM8fvwYbdu2feX2V69eRW1tLSwsLGTKq6uroa+v3+LxExEREVHLYZKTiIiIiJRCYWEhunXrhuLiYnh6emLmzJmIjo6Gnp4evvrqK0ydOhXPnj371SRnVVUVJBIJcnNzIZFIZNZpa2vLowtERERE1EKY5CQiIiKiVu/06dO4evUq5s+fj9zcXNTV1WHDhg0Qi188Yn7fvn0y9dXV1VFbWytT1q9fP9TW1uLu3bv405/+JLfYiYiIiKjlMclJRERERK1KdXU1ysrKUFtbi/LycqSnp2Pt2rXw9PREYGAg8vPzUVNTg48//hhjx45FVlYWtm/fLtOGubk5qqqqkJGRAVtbW7Rt2xYWFhYICAhAYGAgNmzYgH79+qGiogIZGRmwsbHBmDFjFNRjIiIiInpbfLs6EREREbUq6enp6NKlC8zNzeHh4YEzZ84gJiYGqampkEgksLW1xcaNG7Fu3TpYW1sjPj4ea9eulWljyJAhmDFjBvz8/GBgYID169cDAGJjYxEYGIiFCxfC0tISXl5eyMnJgampqSK6SkRERETNhG9XJyIiIiIiIiIiIqXGmZxERERERERERESk1JjkJCIiIiIiIiIiIqXGJCcREREREREREREpNSY5iYiIiIiIiIiISKkxyUlERERERERERERKjUlOIiIiIiIiIiIiUmpMchIREREREREREZFSY5KTiIiIiIiIiIiIlBqTnERERERERERERKTUmOQkIiIiIiIiIiIipcYkJxERERERERERESm1/wMy6V0aQR3XzAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -408,10 +408,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:10.385903Z",
-     "iopub.status.busy": "2024-09-13T08:25:10.385519Z",
-     "iopub.status.idle": "2024-09-13T08:25:10.636949Z",
-     "shell.execute_reply": "2024-09-13T08:25:10.636366Z"
+     "iopub.execute_input": "2025-02-02T04:24:21.636454Z",
+     "iopub.status.busy": "2025-02-02T04:24:21.636030Z",
+     "iopub.status.idle": "2025-02-02T04:24:21.880041Z",
+     "shell.execute_reply": "2025-02-02T04:24:21.879533Z"
     },
     "tags": [
      "remove-input"
@@ -420,7 +420,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -456,10 +456,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:10.639416Z",
-     "iopub.status.busy": "2024-09-13T08:25:10.639034Z",
-     "iopub.status.idle": "2024-09-13T08:25:10.914292Z",
-     "shell.execute_reply": "2024-09-13T08:25:10.913672Z"
+     "iopub.execute_input": "2025-02-02T04:24:21.881854Z",
+     "iopub.status.busy": "2025-02-02T04:24:21.881657Z",
+     "iopub.status.idle": "2025-02-02T04:24:22.175622Z",
+     "shell.execute_reply": "2025-02-02T04:24:22.175079Z"
     },
     "tags": [
      "remove-input"
@@ -468,7 +468,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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ZhAkTlEql1NraWlAd2dLSogkTJuQf8+KLLxY8l7HatvEYO0OGDNGQIUOKft7Y2MhOHHO0UTzQDslAO8WTuV0GDCicujmbbYikzbq7e0z/nZPUP09kJpOru/2I70480S7xRxslA+0UT7RL/NFG8US7xIvXtoh0ARvD7bffrh133FHHHnts/meHHHKIGhsb9cQTT+R/tmzZMq1evVpNTU2SpKamJi1ZskTr16/PP2b+/PkaNWqUJk6cGN4bAACgAsUL2ESzWIzTStqSFOGaOgAAAABqUOSVkdlsVrfffrtOO+00DRrUvzmjR4/W6aefrpkzZ2rs2LEaNWqUzjnnHDU1NWny5MmSpClTpmjixIk69dRTdfXVV6u5uVkXXXSRZsyYYVv5CABAnFjDx0wmfmEkq2kDAAAA8FPkYeTjjz+u1atX69vf/nbR76699loNGDBAJ5xwgnp6ejR16lT95je/yf9+4MCBmj17ts466yw1NTVpxIgROu2003TppZeG+RYAAKhIXCojOzoIIwEAAACEI/IwcsqUKY4XOkOHDtWsWbM0a9Ysx7/ffffd626VTwBAbSgOI6MZE80wbQAAAABhicWckQAA1KPiMDKa7WCYNgAAAICwEEYCABCR+AzTTjn+jiwSAAAAgJ8IIwEAiEgmU1gKGcdh2lRGAgAAAPATYSQAABGJ22raDQ3FvyOLBAAAAOAnwkgAACISlzkjWU0bAAAAQFgIIwEAiEgSVtMmiwQAAADgJ8JIAAAiEpcFbJgzEgAAAEBYCCMBAIhIXMJIYzVtckcAAAAAQSOMBAAgInEJI6mMBAAAABAWwkgAACISt9W07ZBFAgAAAPATYSQAABGxhpFRVSG6r6Yd4oYAAAAAqHmEkQAARCQJlZEAAAAA4CfCSAAAIhKXykjmjAQAAAAQFsJIAAAiEpcFbBimDQAAACAshJEAAEQkLmEkw7QBAAAAhIUwEgCAiCQhjGSYNgAAAAA/EUYCABCR4jkjo9mOjo5UNC8MAAAAoO4QRgIAEJHi1bSzkWwHc0YCAAAACAthJAAAEYnLatpdXW5zRpJGAgAAAPAPYSQAABEprowMP/hLpzNKp50rMqmMBAAAAOAnwkgAACIShzkjWUkbAAAAQJgIIwEAiIi1EjKK1bRLhZFURgIAAADwE2EkAAARicOckW6L1wAAAACA3wgjAQCISBzmjCxdGUlpJAAAAAD/EEYCABCROFRGMmckAAAAgDARRgIAEBFrGBnFnJEdHanQXxMAAABA/SKMBAAgInEII1nABgAAAECYCCMBAIhInMLIhobQXxoAAABAHSKMBAAgInGYM5LVtAEAAACEiTASAICIFFdGhr8NLGADAAAAIEyEkQAARCROw7QBAAAAIAyEkQAARCQew7RLr6YdxXYBAAAAqE2EkQAARCROlZFueWMU2wUAAACgNhFGAgAQkeLKyPC3wcswbcJIAAAAAH4hjAQAICJxqIz0spo2o7QBAAAA+IUwEgCAiMQhjKQyEgAAAECYCCMBAIhIHBawIYwEAAAAECbCSAAAIlJcGRn+NngZpk0YCQAAAMAvhJEAAESEykgAAAAA9YYwEgCAiCRlzsgoQlIAAAAAtYkwEgCAiMShMrKjI1XyMVRGAgAAAPALYSQAABHJZKxhZPjbwJyRAAAAAMJEGAkAQESSMkybMBIAAACAXwgjAQCISNTDtHO5nMc5I0PYGAAAAAB1gTASAICIRF0ZmUplPL0mlZEAAAAA/EIYCQBARIorI8N9fS9VkRJhJAAAAAD/EEYCABCRqIdpe1m8RiKMBAAAAOAfwkgAACJSPEw73NenMhIAAABA2AgjAQCISNSVkV7DyLC3CwAAAEDtIowEACAiUYeRHR0pT4+jMhIAAACAXwgjAQCICMO0AQAAANQbwkgAACISdWUkYSQAAACAsBFGAgAQkeIwMtzXN1bTbmhwf1wmE3LJJgAAAICaRRgJAEBEklMZGfCGAAAAAKgbhJEAAESkeM7IeIaRVEYCAAAA8AthJAAAEYl+mLa31bR7ewkjAQAAAPiDMBIAgIgkZZh2JsMCNgAAAAD8QRgJAEBE4hJGlnpZKiMBAAAA+CXyMHLNmjX65je/qXHjxmnYsGE64IAD9PLLL+d/n8vldPHFF2unnXbSsGHDdNRRR+ndd98teI7NmzfrlFNO0ahRozRmzBidfvrpam9vD/utAABQlqxlZZioVtMuxbqdAAAAAFCpSMPILVu26PDDD1djY6MeffRRvfnmm/r1r3+t7bffPv+Yq6++WjfccINuueUWvfDCCxoxYoSmTp2q7u7u/GNOOeUULV26VPPnz9fs2bP17LPP6owzzojiLQEA4Jl1+DPDtAEAAADUukFRvvhVV12lXXfdVbfffnv+Z3vuuWf+v3O5nK677jpddNFF+vKXvyxJuuuuuzR+/Hj9+c9/1oknnqi33npLc+fO1UsvvaRPfvKTkqQbb7xR06ZN069+9SvtvPPO4b4pAAA8soZ8cV1Nm2HaAAAAAPwSaRj517/+VVOnTtXXvvY1PfPMM9pll130ve99T9/5znckSatWrVJzc7OOOuqo/N+MHj1ahx56qBYuXKgTTzxRCxcu1JgxY/JBpCQdddRRGjBggF544QV99atfLXrdnp4e9fT05P/d1tYmSUqn00qnvV2YIVxGu9A+0aIdkoF2iie7djGGPw8YIGWzUkNDuO3W3t53LmxsbNCgQQ0Fv8vlcuru7gtH6+X8yHcnnmiX+KONkoF2iifaJf5oo3iiXeLJa3tEGkauXLlSN998s2bOnKn//u//1ksvvaTvf//7Gjx4sE477TQ1NzdLksaPH1/wd+PHj8//rrm5WTvuuGPB7wcNGqSxY8fmH2N15ZVX6pJLLin6+VNPPaXhw4f78dYQkPnz50e9CRDtkBS0UzyZ26W7uy8M/MQnRunll9s0aVKj5syZE9q2fPhhiyTp3HN31+GHjyn4XSaT0wknLJYkrV+/RHPmvBXadkWN70480S7xRxslA+0UT7RL/NFG8US7xEtnZ6enx0UaRmazWX3yk5/UFVdcIUk6+OCD9cYbb+iWW27RaaedFtjrXnjhhZo5c2b+321tbdp11111xBFHaNy4cYG9LiqXTqc1f/58HX300WpsbIx6c+oW7ZAMtFM82bXLoEHLJPXqlVf6KvSXLElp2rRpoW3TZZfdLqlD11//vm66aXXB78zzV26//SRNmbJ3aNsVFb478US7xB9tlAy0UzzRLvFHG8UT7RJPmzZt8vS4SMPInXbaSRMnTiz42f77768//elPkqQJEyZIklpaWrTTTjvlH9PS0qKDDjoo/5j169cXPEdvb682b96c/3urIUOGaMiQIUU/b2xsZCeOOdooHmiHZKCd4sncLsYi1cb/9/bmQm0zY87IVConyXm+ymx2QF3tS3x34ol2iT/aKBlop3iiXeKPNoon2iVevLZFpKtpH3744Vq2bFnBz9555x3tvvvukvoWs5kwYYKeeOKJ/O/b2tr0wgsvqKmpSZLU1NSk1tZWLVq0KP+YJ598UtlsVoceemgI7wIAgMpYF6wJeTHtMlbTZgEbAAAAAP6ItDLyvPPO02GHHaYrrrhCX//61/Xiiy/q1ltv1a233ipJamho0Lnnnquf//zn+uhHP6o999xTP/nJT7TzzjvrK1/5iqS+SsovfOEL+s53vqNbbrlF6XRaZ599tk488URW0gYAxFpxGBluGtnRQRgJAAAAIFyRhpH/9m//pocfflgXXnihLr30Uu2555667rrrdMopp+Qf86Mf/UgdHR0644wz1Nraqk996lOaO3euhg4dmn/MPffco7PPPluf//znNWDAAJ1wwgm64YYbonhLAAB4FnVlZEdHytPjentD3jAAAAAANSvSMFKSjjvuOB133HGOv29oaNCll16qSy+91PExY8eO1b333hvE5gEAEJgoKyNzuZy6uno9PpbKSAAAAAD+iHTOSAAA6lmUYWR3t7cgUpIyGSojAQAAAPiDMBIAgIhYw8cwh2l7nS9Sknp7qYwEAAAA4A/CSAAAIhJlZaTXlbQlKiMBAAAA+IcwEgCAiES5gE05YaR1OwEAAACgUoSRAABEJMow0utK2hJhJAAAAAD/EEYCABCBXC5XFD7GdZg2c0YCAAAA8AthJAAAEbDLHeM6TJs5IwEAAAD4hTASAIAI2A19DrMyspzVtDMZKiMBAAAA+IMwEgCACEQ9D6NRGdnQUPqxUW8rAAAAgNpBGAkAQASirowsbzVtKiMBAAAA+IMwEgCACNiHkeG9fjmraTNnJAAAAAC/EEYCABABu3kY47uADZWRAAAAAPxBGAkAQATiMkzby0tSGQkAAADAL4SRAABEIOpFYcpZTTvqbQUAAABQOwgjAQCIQNRzRpa3gA1hJAAAAAB/EEYCABCBuAzT9oJh2gAAAAD8QhgJAEAEoq42LGeYNgvYAAAAAPALYSQAABFI0jBtKiMBAAAA+IUwEgCACCRpmHbUVZwAAAAAagdhJAAAEYg64OvoSHl+bNTbCgAAAKB2EEYCABCBqAO+8iojmTMSAAAAgD8IIwEAiABzRgIAAACoR4SRAABEwL4yMrzQr73d+zBtwkgAAAAAfiGMBAAgAlFXRnZ1ea+MDHNhHQAAAAC1jTASAIAIRBlGZrM5dXdnyno8AAAAAPiBMBIAgAhEGfCVM1+kxDBtAAAAAP4hjAQAIAJRzhlZbhhJZSQAAAAAvxBGAgAQgSiHaZdfGZkNaEsAAAAA1BvCSAAAIhBltWFHh/eVtCUqIwEAAAD4hzASAIAIJKkykjASAAAAgF8IIwEAiECUi8IQRgIAAACICmEkAAARiHaYNmEkAAAAgGgQRgIAEAH7Ydqspg0AAACgthFGAgAQgSgDPiOMbGjw9vgsi2kDAAAA8AlhJAAAEUjWatqkkQAAAAD8QRgJAEAE4lAZ6RXDtAEAAAD4hTASAIAI2M8ZGc5rlxtGRrnyNwAAAIDaQhgJAEAE4rCattfwM6yFdQAAAADUPsJIAAAiwDBtAAAAAPWIMBIAgAgQRgIAAACoR4SRAABEIA7DtL0ijAQAAADgF8JIAAAi4BTwhTE/I5WRAAAAAKJCGAkAQAScw8jgX7v8MDKgDQEAAABQdwgjAQCIQJSVkR0dqbIez2raAAAAAPxCGAkAQAScwsgwhkQzTBsAAABAVAgjAQCIQLKGaRNGAgAAAPAHYSQAABGIsjKS1bQBAAAARIUwEgCACBgBX0ND4c+ZMxIAAABALSOMBAAgAlFWRnZ19Zb1eCojAQAAAPiFMBIAgAhENWdkb29WqVSmrL8hjAQAAADgF8JIAAAikMlkbX8edPBX7uI1kpS131QAAAAAKBthJAAAEXCujIxfGMmckQAAAAD8QhgJAEAEopozstzFaySGaQMAAADwD2EkAAARiGrOSCojAQAAAESJMBIAgAhEVRnJnJEAAAAAokQYCQBABKKaM7Kjg8pIAAAAANEhjAQAIALJqowkjAQAAADgD8JIAAAikKw5IwPYEAAAAAB1iTASAIAIRL2adkOD97+hMhIAAACAXyINI3/2s5+poaGh4H/77bdf/vfd3d2aMWOGxo0bp5EjR+qEE05QS0tLwXOsXr1axx57rIYPH64dd9xR559/vnp7e8N+KwAAlCWqOSNZTRsAAABAlAZFvQGTJk3S448/nv/3oEH9m3Teeefpb3/7mx588EGNHj1aZ599to4//nj94x//kCRlMhkde+yxmjBhghYsWKB169Zp+vTpamxs1BVXXBH6ewEAwCvmjAQAAABQjyIPIwcNGqQJEyYU/Xzr1q267bbbdO+99+rII4+UJN1+++3af//99fzzz2vy5MmaN2+e3nzzTT3++OMaP368DjroIF122WX68Y9/rJ/97GcaPHiw7Wv29PSop6cn/++2tjZJUjqdVjpd/kUagme0C+0TLdohGWineLK2SzqdkSQNHNiggQOlnp6+wK+3tzfQtmtr686/bmOj+1jtdDqr3l5pwID62J/47sQT7RJ/tFEy0E7xRLvEH20UT7RLPHltj4ZchGOvfvazn+mXv/ylRo8eraFDh6qpqUlXXnmldtttNz355JP6/Oc/ry1btmjMmDH5v9l999117rnn6rzzztPFF1+sv/71r3rttdfyv1+1apX22msvvfLKKzr44IMdX/eSSy4p+vm9996r4cOH+/02AQAo8vDD63XnnWt1xBHb6+STd9J3vvOmBg1q0B//+K+Bvu4dd6zVn/+8Xl/+8g761rd2cX3sXXet1UMPrdeXvrSDvv1t98cCAAAAqG+dnZ06+eSTtXXrVo0aNcrxcZFWRh566KG644479LGPfUzr1q3TJZdcok9/+tN644031NzcrMGDBxcEkZI0fvx4NTc3S5Kam5s1fvz4ot8bv3Ny4YUXaubMmfl/t7W1adddd9URRxyhcePG+fTu4Kd0Oq358+fr6KOPVmNjY9SbU7doh2SgneLJ2i5Lly6UtFbPPdeqhQtbJUm9vTlNmnSYdt99TGDb8dhjj0lar7/9bYPmzdtUYpuzkqQlS1KaNm1aYNsUF3x34ol2iT/aKBlop3iiXeKPNoon2iWeNm1yv74wRBpGHnPMMfn/PvDAA3XooYdq99131wMPPKBhw4YF9rpDhgzRkCFDin7e2NjIThxztFE80A7JQDvFk9EuDf9czjqTycm87lpDw8BA262rq294eG+v1Nub9fQ3mUyurvYlvjvxRLvEH22UDLRTPNEu8UcbxRPtEi9e2yLS1bStxowZo3333VfLly/XhAkTlEql1NraWvCYlpaW/ByTEyZMKFpd2/i33TyUAADEhfNq2sG+bmUL2ASwIQAAAADqUqzCyPb2dq1YsUI77bSTDjnkEDU2NuqJJ57I/37ZsmVavXq1mpqaJElNTU1asmSJ1q9fn3/M/PnzNWrUKE2cODH07QcAwKskraYd4fTSAAAAAGqML8O0W1tbi+Z29OKHP/yhvvjFL2r33XfX2rVr9dOf/lQDBw7USSedpNGjR+v000/XzJkzNXbsWI0aNUrnnHOOmpqaNHnyZEnSlClTNHHiRJ166qm6+uqr1dzcrIsuukgzZsywHYYNAEBcGKGjNefLBlyG2NGRKvtvCCMBAAAA+KXsysirrrpKf/jDH/L//vrXv65x48Zpl1120eLFi8t6rg8//FAnnXSSPvaxj+Wf5/nnn9cOO+wgSbr22mt13HHH6YQTTtBnPvMZTZgwQQ899FD+7wcOHKjZs2dr4MCBampq0je/+U1Nnz5dl156ablvCwCAUDlVQGYy8auMZJg2AAAAAL+UXRl5yy236J577pHUNyR6/vz5evTRR/XAAw/o/PPP17x58zw/1/333+/6+6FDh2rWrFmaNWuW42N23313zZkzx/NrAgAQB06hYxzDSCojAQAAAPil7DCyublZu+66qyRp9uzZ+vrXv64pU6Zojz320KGHHur7BgIAUIucKyODHqZdSWUkYSQAAAAAf5Q9THv77bfXBx98IEmaO3eujjrqKEl9VROZTMbfrQMAoEZFtYBNJXNGAgAAAIBfyq6MPP7443XyySfrox/9qDZt2qRjjjlGkvTqq69qn3328X0DAQCoRVFVRjJMGwAAAECUyg4jr732Wu2xxx764IMPdPXVV2vkyJGSpHXr1ul73/ue7xsIAEAtimIBm1wuxwI2AAAAACJVdhjZ2NioH/7wh0U/P++883zZIAAA6kEUw7TT6WxFYSeVkQAAAAD84nnOyO9973tqb2/P//u+++5TR0dH/t+tra2aNm2av1sHAECNimKYdiVVkZJEFgkAAADAL57DyN/+9rfq7OzM//vMM89US0tL/t89PT167LHH/N06AABqVBTDtCtdvIbKSAAAAAB+8RxGWi9EuDABAKByUQzTpjISAAAAQNQ8h5EAAMA/UVRGVh5GkkYCAAAA8AdhJAAAEXCujAxuzsiODiojAQAAAESrrNW0L774Yg0fPlySlEqldPnll2v06NGSVDCfJAAAcEdlJAAAAIB65DmM/MxnPqNly5bl/33YYYdp5cqVRY8BAAClMWckED+/+90iLV7cohtvPEYNDQ1Rbw4AAEBN8hxGPv300wFuBgAA9SXK1bQbGsoNGEkjUR8uvvhpNTe3a+rUvfXFL34s6s0BAACoSZ7njPzhD3+ot99+O8htAQCgbkQxZySVkYC77u5eSdJbb22MeEsAAABql+cw8i9/+YsmTZqkww47TL///e/V0dER5HYBAFDTkjVnpM8bAsRUJtN3MyCVykS8JQAAALXLcxj57rvv6qmnntK+++6rH/zgB5owYYK+/e1va8GCBUFuHwAANSmKOSMrX02bNBL1wbgZkE4TRgIAAATFcxgp9S1Qc8cdd6i5uVnXX3+93n33XX3qU5/S/vvvr1/96ldqaWkJajsBAKgpSaqMBOqFURlJGAkAABCcssJIw4gRI/Ttb39bzz33nN555x0df/zxuvLKK7Xbbrv5vX0AANSkKOeMLLfQkcJI1Avje5lKBfc9BAAAqHcVhZGGjo4OPffcc3rmmWe0ZcsW7bXXXn5tFwAANS3K1bTLRxqJ+mB8/3p7qYwEAAAISkVh5N///nd9+9vf1k477aTvf//72nffffXcc8/prbfe8nv7AACoSU6hY7DDtHsr+jsqI1EPcrlc/iZBOk1lJAAAQFAGeX3gunXrdOedd+qOO+7QO++8o8mTJ+uaa67RiSeeqJEjRwa5jQAA1JwoFrBhNW3Amfm7RxgJAAAQHM9h5K677qpx48bp1FNP1emnn679998/yO0CAKCmRbOadqXDtIHaZ65K7u0ljAQAAAiK5zDygQce0Je+9CUNGuT5TwAAgAPnOSODX8CmfJRGovaZv3uspg0AABAcz3NGTp48WRdccIHa2tqKfrd161adf/75amlp8XXjAACoVfU8TDuXy2nJkhb19FQ2hyUQBCojAQAAwuE5jLzmmmvU1tamUaNGFf1u9OjR2rZtm6655hpfNw4AgFoVzTDteISRTz65SgceeItOOulP/j4xUAVzZSRhJAAAQHA8h5Fz587V9OnTHX8/ffp0zZ4925eNAgCg1jkP045fZaTf3nuvVZL02GMrot0QwMQcQLKADQAAQHA8h5GrVq3Sbrvt5vj7j3zkI3rvvff82CYAAGpePS9gY4Q+Qc6PCZSLYdoAAADh8BxGDhs2zDVsfO+99zRs2DA/tgkAgJrnHEYGF4JUPkzb34DUCHqCDF6BcpnDcYJyAACA4HgOIw899FD93//9n+Pv77rrLv37v/+7LxsFAECtcw4jg3m9XC6nrq54DNM2wki/56IEqkFlJAAAQDgGeX3gD3/4Qx199NEaPXq0zj//fI0fP16S1NLSoquvvlp33HGH5s2bF9iGAgBQS8KeM7KnJxOb8I/KSMSRuRqSOSMBAACC47ky8ogjjtCsWbN00003aeedd9b222+vsWPHauedd9asWbN044036sgjjwxyWwEAqBlhD9OuZr5Iv0PM/spIwkjEh/lGQJALSQEA7HV1pfXkk6uUTmei3hQAAfNcGSlJZ555po477jg98MADWr58uXK5nPbdd1/9x3/8hz7ykY8EtY0AANScsBewictK2lJ/0EMWiThhzkgAiNYvfvF3XXrps7r44s/okkuOiHpzAASorDBSknbZZRedd955QWwLAAB1o57DSObjQxwxZyQARGvNmm2SpIcffpswEqhxnodpAwAA/4QdRla6knYQzEEP80YiLgorI9kvASBsxrGX6nSg9hFGAgAQASoj+zAvFOKCykgAiJYRQnJDCKh9hJEAAEQgaWGkn4vNFIaRhD6IB+aMBIBoGf0Dwkig9hFGAgAQgfCHaVe+mrbk73aZgx4q0BAX5otfpg8AgPAxTBuoH2WHkRdffLGeeuopdXd3B7E9AADUBaewI6hqAKMysqGhsr/3M5xhmDbiiJAcAKJlHIe5IQTUvrLDyIULF+qLX/yixowZo09/+tO66KKL9Pjjj6urqyuI7QMAoCY53fWP6zDt4MJIQh/EA5WRABAto3/ADSGg9pUdRs6fP1+tra164oknNG3aNL388ss6/vjjNWbMGH3qU58KYhsBAKg5SVtNO6gwkgsOxAVzRgJAtIybQtwQAmrfoIr+aNAgHX744dphhx00duxYbbfddvrzn/+st99+2+/tAwCgJiVvARufNkQM00Y8FYbkXAgDQNhYTRuoH2VXRt566606+eSTtcsuu+iwww7T3Llz9alPfUovv/yyNmzYEMQ2AgBQc5IWRvpbGdn/XD09vb49L1ANhmkDQLSMm0Icg4HaV3Zl5He/+13tsMMO+q//+i9973vf08iRI4PYLgAAalpUq2lXWuEY1Gra3d1URiIeGKYNANFimDZQP8qujHzooYd0yimn6P7779cOO+ygww47TP/93/+tefPmqbOzM4htBACg5tR3ZWR/0NPVVd12AX6hMhIAokVlJFA/yq6M/MpXvqKvfOUrkqStW7fqueee04MPPqjjjjtOAwYMUHd3t9/bCABAzXHqaOf8nJzRpLOzuuHQQYWR3d0M00Y8FFZGciEMAGEzjsOEkUDtq2gBm02bNumZZ57R008/raefflpLly7V9ttvr09/+tN+bx8AADXJKewIeph2pfwMSQkjEUdURgJAtBimDdSPssPIAw44QG+99Za23357feYzn9F3vvMdffazn9WBBx4YxPYBAFCTGKbdhzAScWGujORCGADCxzBtoH5UtIDNZz/7WX384x8PYnsAAKgL9RxGmivQWE0bcUFlJABEy7gpFNSUNQDio+wwcsaMGZKkVCqlVatWae+999agQRWN9gYAoG6Fv5p2fMLIwspIVtNGPFAZCQDRYpg2UD/KXk27q6tLp59+uoYPH65JkyZp9erVkqRzzjlHv/jFL3zfQAAAalHSKiP9LFIwh5FURiIuzJWRVOUAQPiM/gGHYKD2lR1GXnDBBVq8eLGefvppDR06NP/zo446Sn/4wx983TgAAGpV0sLIoCojCSMRF1RGAkC0GKYN1I+yx1f/+c9/1h/+8AdNnjxZDQ0N+Z9PmjRJK1as8HXjAADxdv/9b2jw4IE6/vj9o96UxAk7jGxvr2417eDCSIZpIx4KKyMj3BAAqFPGcZhjMFD7yg4jN2zYoB133LHo5x0dHQXhJACgtnV0pHTqqQ8rl8tp06YfafTooaX/CHlO4V5QHXAqIwF35spIqnIAIHz9w7Q5BgO1ruxh2p/85Cf1t7/9Lf9vI4D83//9XzU1Nfm3ZQCAWOvq6lVvb1aZTE6vv94S9eYkTpiVkdlsTt3d1YV+/q6m3R/6pFJURiIeqIwEgGgxZyRQP8qujLziiit0zDHH6M0331Rvb6+uv/56vfnmm1qwYIGeeeaZILYRABBD6XR/iLRtW0+EW5JMYYaRXV3VVUVK/lYpMEwbcWTeL6nKAYDwURkJ1I+yKyM/9alP6bXXXlNvb68OOOAAzZs3TzvuuKMWLlyoQw45JIhtBADEkPnCvb29+rCr3oQZRlY7RFsKbpg2lZGIi8Jh2hFuCADUKfNxGEBtK7syUpL23ntv/e53v/N7WwAACZJOm8PI6hZHqUfOc0bGM4z08wKBMBJxVDhMmzQSAMLGAjZA/Si7MhIAAMlaGckw7XI5hR1BVEZ2dPgRRlIZidpGRQ4ARMvcPwBQ2zyHkQMGDNDAgQNd/zdoUEWFlpKkX/ziF2poaNC5556b/1l3d7dmzJihcePGaeTIkTrhhBPU0lK4SMLq1at17LHHavjw4dpxxx11/vnnq7eXlTkBIGjmOSMZpl0+p3AvrsO0/bxAYAEbxBEL2ABAtAqny+BADNQyz+nhww8/7Pi7hQsX6oYbblA2W9mFyksvvaTf/va3OvDAAwt+ft555+lvf/ubHnzwQY0ePVpnn322jj/+eP3jH/+QJGUyGR177LGaMGGCFixYoHXr1mn69OlqbGzUFVdcUdG2AAC8MYdTfoRd9SZpw7T9DEnNQ/zNoTYQJSojASBa5ptC2WxOAwc2RLg1AILkOYz88pe/XPSzZcuW6YILLtAjjzyiU045RZdeemnZG9De3q5TTjlFv/vd7/Tzn/88//OtW7fqtttu07333qsjjzxSknT77bdr//331/PPP6/Jkydr3rx5evPNN/X4449r/PjxOuigg3TZZZfpxz/+sX72s59p8ODBtq/Z09Ojnp7+IYVtbW2SpHQ6rXSaC+o4MtqF9okW7ZAMYbVTV1f/PJGdnT3sFyWY28UcOA4d2qCGhgb19GTVd08v5/tnuXVrlySpoUEaOtT7DC25XE7d3X3bmkqlfNsuc5Dd25uJzb7DMS6ewmqXVKp/ZE1Dg9TTk9KAAVwIe8F3Jxlop3iiXfoZN4UaGqTu7h4NHlz5yEs/0UbxRLvEk9f2qOjbvXbtWv30pz/VnXfeqalTp+q1117Txz/+8UqeSjNmzNCxxx6ro446qiCMXLRokdLptI466qj8z/bbbz/ttttuWrhwoSZPnqyFCxfqgAMO0Pjx4/OPmTp1qs466ywtXbpUBx98sO1rXnnllbrkkkuKfv7UU09p+PDhFb0PhGP+/PlRbwJEOyRF0O20bFlH/r9HjNioOXPmBPp6tWL+/PkFd/5vvXWSRo0apMsuW6lFi9q0xx49vn+WCxa0SpL222+Errzyo57/rqsro5NOWiJJev/9V9Tc/Jov29Pd3X9DcOedO2O373CMi6fgj2nr8v+9ww6DNXfuo4G+Xi3iu5MMtFM80S79YeT22zfq8cfnRbw1xWijeKJd4qWzs9PT48oKI7du3aorrrhCN954ow466CA98cQT+vSnP13RBkrS/fffr1deeUUvvfRS0e+am5s1ePBgjRkzpuDn48ePV3Nzc/4x5iDS+L3xOycXXnihZs6cmf93W1ubdt11Vx1xxBEaN25cpW8HAUqn05o/f76OPvpoNTY2Rr05dYt2SIaw2mnUqNWS3pUkffDBcF188bTAXqsWmNulb8rmxZKkM85Ymq+MlKQVKxr161/7+1lu3rxE0nt6551OnXTS657/zlzBudNOB2ny5I/4tEVvSuobnr18uf/vt1Ic4+IprHZ5/vmnJfXNTb5hQ0pHHnm0hg5lP/CC704y0E7xRLv0yeVyymZfkyRt3pzWpz99lLbbzn6kY9hoo3iiXeJp06ZNnh7nOYy8+uqrddVVV2nChAm67777bIdtl+ODDz7QD37wA82fP19Dhw6t6rnKNWTIEA0ZMqTo542NjezEMUcbxQPtkAzBt1P/cN+Ojgz7hEeNjY3KZvuHfvYNg+4P/Xp75ftnaQSd2WxOXV2Vzf2YzTb4tl3mytCenmzs9h2OcfEUfLv0fy/7cviB7Adl4ruTDLRTPNV7u1gXymtoGBC7z6Pe2yiuaJd48doWnsPICy64QMOGDdM+++yjO++8U3feeaft4x566CFPz7do0SKtX79en/jEJ/I/y2QyevbZZ3XTTTfpscceUyqVUmtra0F1ZEtLiyZMmCBJmjBhgl588cWC5zVW2zYeAwAIhnkRku7uXpdHwsptMZggFo+M2wI25oVC/FylG6iGdYV7pxXvAQD+sy4iRv8AqG2ew8jp06erocG/Sbw///nPa8mSJQU/+9a3vqX99ttPP/7xj7XrrruqsbFRTzzxhE444QRJfQvmrF69Wk1NTZKkpqYmXX755Vq/fr123HFHSX3zBYwaNUoTJ070bVsBAMXMncSuLsLIcrgFe36GfgY/wkg/LwrMz2UOtYEocSEMANHhhhBQXzyHkXfccYevL7zddtsVLXozYsQIjRs3Lv/z008/XTNnztTYsWM1atQonXPOOWpqatLkyZMlSVOmTNHEiRN16qmn6uqrr1Zzc7MuuugizZgxw3YYNgDAP+l0Jv/fPT2EkeUIO4zs6Ohb+byaqku/tiuXyxVcYBBGIi6sF76EkQAQHusxl2MwUNsqWk07LNdee60GDBigE044QT09PZo6dap+85vf5H8/cOBAzZ49W2eddZaampo0YsQInXbaabr00ksj3GoAqA/mTiJhZHnch2nXdmUkgQ/iyloZaf03ACA4HIOB+hKrMPLpp58u+PfQoUM1a9YszZo1y/Fvdt99d82ZMyfgLQMAWJkr2owFUuCNe2Wk/6/nRxjp10UBlQ+IK4JyAIgO/QOgvgwo/RAAAIqZO4mpFJWR5Qi7MrKjw48w0p/tYl4+xBUXwgAQHWs/g2lckuHZZ9/XzTe/FEj/FbUtVpWRAIDkMM8ZmUplXB4JqyQuYOPXdlkDHoZhIS4IygEgOtZjMFMARWvbth4NHDhAw4c3uj7ujDMe0bJlm7TvvuP0+c/vFdLWoRZQGQkAqEhhZSQX7eVI5pyRwYSRBD6IC2tVTk8PN1kAICzW/oD5pjfClU5ntN9+s7T//rNK9ku3bOmW1FchCZSDMBIAUBHz8BkqI8vjHkb6/3r+DNNmzkjUtuIwkqocAAgLN4TiY9OmLq1du02rV2/VsmUbXR9rhMb051AuwkgAQEXMnQ7uXpcnicO0CSNR66z7OMc1AAhP8TGY/kFUzEUGRuWjE6OdKExAuQgjAQAVMV+oEyiVJ4nDtP0KSa2VD34tjANUi6ocAIiOtS9JdXp0zMFiqXOhcT1AeIxyEUYCACpi7jQSKJUn7MrIjo5U1c/hVxuzgA3iyrovUuUBAOEpXk2bY3BUzEFwV5f7DW2jX9fbS3uhPISRAICKmO+AEiiVhzkjzc9LkI14sO6LhJEAEJ7i1bQ5BkfFfP7r7nauUM3lcvlzJ5WRKBdhJACgIlRGVi7sYdql7mp7EVQYGUQlKFAJLoQBIDrFq2kTbkXFaxhpbiMqWVEuwkgAQEXMnQ4CpfK4hbdZn/vemUzWl1DFr+1imDbiispIAIgOx+D48B5GmueP51oA5SGMBABUxBwqBVHNV8vCrIz0Y/EaicpI1D5W0waA6HAMjg/zTWzvlZHcXEZ5CCMBABUxdzpyOQLJciQzjPRrNW3CSMQTq2kDQHSsNyupjIyO19W0CysjaS+UhzASAFARa6fR+m84c19N29/X8mPxGim41bTJsBEX1qCcYxoAhKd4NW2OwVEpDCOpjEQwCCMBABWxDp+hisi7ZFZGMkwbtY35ygAgOlRGxof3MLL/ccwBjnIRRgIAKmLtNLrNKYNC7mGkv6/lVxjpV2hYXBlJGIl4sF5IcSEMAOEprk7nGBwVcwDpPkybykhUjjASAFARa6eDMNI792Ha/oZzHR0pX54nqMpIskjEhXXfZPEEAAgP1enxUcmckVRGolyEkQCAihRXRvpTgVcPkjhM26+Q1HqxQWUk4qJ4vjIuhAEgLMVzkdM/iIo5jHQLhc2FCcyzjHIRRgIAKmKtjNy2zZ8KvHqQxDCSBWxQ6ximDQDR4RgcH5XMGUkYiXIRRgIAKmLtdLS1EUZ6FeackcZq2g0N1T1PUMO0gbiwBu5U5QBAeIqPwYSRUTEPzXYbJVBYGck5E+UhjAQAVMTaOWlv74loS5InzDkj/Rum7cvT2IaRrKiNOKAqBwCiUzxvLzcvo1I4TNu5HZgzEtUgjAQAVMTaady2jTDSqzDDN//CyOAqI5mbD3HAnJEAEJ3i1bQJt6JSGEY6D9M2t5Ff0/mgfhBGAgAqYu0ktrczTNurZK6mHcyckU4/A8LGhTAARKd4NW2OwVHxXhnJAjaoHGEkAKAi1uEzxtyEKC2KBWyqfVr/VtO2q4ykA4voFVdGsl8CQFisYVYmQ3V6VMyL1rjPGdn/O79G0KB+EEYCACpCZWTl3Csj/X0t/1bTZpg2ahuVkQAQHesxmBtC0TFXRrq1AwvYoBqEkQCAilgDJCojvQuzMtKvdvGrMpJh2ogr637IfgkA4Sk+BhNuRaUwjPRWGckCNigXYSQAoCLWTqNfFXj1wD2M9Pe1/KuM9DeMbGjo/xnVD4gDFrABgOhYj8G9vRyDo2KeJ9JrZSQL2KBchJEAgIpYOyeEkd5FMWdktYKsjCT0QRwwTBsAosMxOD4K54x0CyOpjETlCCMBABWxdhK7uggjvUrmMG1/Opl2d87NnV4gKsVVOVxYAUBYmCojPszDtN3agcpIVIMwEgBQEWs1W1cXgZJXbneP62WYtll3N5WRiB5VOQAQneIbQoRbUSkMI5kzEsEgjAQAVMR6od7dTWWkV0kcpu3XZtkFPFTVIg5YPAEAosMNofioZDVtv6bzQf0gjAQAVMTcUZGk7m4qI71y67D5NBo6r6Mj5cvz+HXH274ykn0H0WOYNgBEx3rMpdIuOj09XodpmysjCSNRHsJIAEBFiisjCZS8Suackf4O0za/TfYdxIF1HyeMBIDwcEMoPswFB24hI5WRxZYt26h//GN11JuRCISRAICKWIdtmO+iwl2YHba4raZtV+lAGIk4sO6bVOUAQHg4BseH9wVs+h9HGNln2rR79ZnP3KHlyzdHvSmxRxgJAKiItXNCGOmd0WFraCj+XVznjHS6M75mTZuWLdvo+XnsOrWspo04sO7jXAgDQHiYtzc+KllNmzCyT3Nzu7LZnO66a3HUmxJ7hJEAgIpYV9O2ziEJZ2HNGZlOZ3wb5uQUkn7607frgANu1qZNnZ6eh9W0EUd230kuhAEgPNwQig/zTWIqI8tj7LdURpZGGAkAqIi100gY6V1Yc0b6VRUp2W9zNpvTqlWtSqezmjPnXU/PQ2Uk4sjuopcLYQAIT/EwbcKtqBTOGUllZDmMfu7q1Vsj3pL4I4wEAFSEysjKhdVh82vxGsn+oqCrK236b2+BImEk4shu/yaMBIDwsJp2fJinXnJfwKb/cX5PM5REuVwu/3m1tHREvDXxRxgJAChbNpuTtc9BGOmde2Wkf68TdGWkOez02v72YST7DqJlXxnJhRUAhIVh2uW57rrndcwx9wSyCKC5T+fWZ6UyspC5j7txI2FkKYSRAICyWasi+35Gp9GrWhmm3dGRyv+31zDSLuChMhJRs6+M5MIKAMJSXBnJMdjNTTe9qLlzl+uWW172/bnN/TL3YdrmykjfNyNxzPtwe7t/ffBaRRgJACibXXWbXwul1IOwKiPNYWG1gqyMpKoWUWPOSACIFnNGlseoiFy2bKPvz+214tH8OIZpF/Zxe3uzXBuVQBgJACibXRUkF+7euQ9lSU5lpPn5GaaNJKMyEgCiZT3mMuzXndHv2rq1x9fnzeVyDNOukLWP++GHLGLjhjASAFA2u0CJC3fvamfOyP7KS7uh+3bsKyMJshEtKiMBIFosYFMeIzBsa/M3jLS2g1vFo9e+X72wfnaLF7dEtCXJQBgJACibXeeDO6LehTdMuy+MbGio/rmCHabNnJGIFpWRABCt4gVsOAa7Mfpd27b5NyWPVDxaJeuSCRcO0/Z1MxLJ2sd94431EW1JMhBGAgDKZhcoEUZ6l8QFbOy2q5LKSLuLC+aMRNTsKnCybldgAABfFc8ZyTHYjREEtrf7G0Za+2ReKyOZM7L4+ujddzdHtCXJQBgJACib3ZyRdEK8q5Vh2oVzRnq7aLALslmJHVFj6gkAiJb1OMxNbme5XC7/efnZ15Pswkjnx1IZWci6D7//PnNGuiGMBACUze7CPZcjkPQqrAVswlxNu7o5I6mMRLQYpg0A0WKYtnfmEDD4MJI5I72y9nHXrdsW0ZYkA2EkAKBsTp0PKty8qZXKyMJh2pVXRhJGImp2wwG5uQIA4bEeh6mMdGbuN3V1+RtG9vQUzuPtdiosZ7GbemD9PDZu7IxoS5KBMBIAUDa7QEmSurtZiMSLsMNIP56z1DDtaiojCbERNbsKHC6EASA8DNP2zhxGWhec8fO5DU4ho7X/Vu9tZt2Ht23zd6XzWkMYCQAom1N4ZL2bCnthDT0yD6Oult1aHubndwqorezDSCojvUilMjr11Id1112Lo96UmmNXGckQQQAIj/WYW+/Blhtzv8nv0SV2z+fUx7P23+r9vGn9nFKpLPuxC8JIAEDZqIysThJX0y41TNtrZ9gu9CGM9ObFF9fo7rtf11lnza77oVB+s7uA4jMGgPAwTNs7c5/L683gSp7b4FSEYP2539uSNHafU0tLewRbkgyEkQCAsjmFR11dhJFehNXB9jOMtAtm/KqMrPfOq1dGe3Z29vKZ+cwuJOdCGADCw/yD3pkDQ7vzVzXshn17rYys976J3ft//fX1EWxJMhBGAgDK5tTZYG4Ub8KaM9LfYdql5oysZph2fXdevTJffFCF7C/mjASAaDFM2ztzfyCX8/ezsq+M9LZwpd/BaNLY9XHfeKMlgi1JBsJIAEDZnMIjwkhvklgZaT9M2685I+u78+qVeU5Wwkh/2a+mHcGGAECdojLSO2tg6OeK2uUN06Yy0szu/b/zzqYItiQZCCMBAGVzroxM2f4chYxgz66fHdc5I+2Hafe3dzWVkfXeefXKfIHAlAj+Ys5IAIhW8ZyREW1IAlj7XH72v8upjLQ+tt77c3bvf9Wq1vA3JCEIIwEAZXPqlFAZ6U1YlZHmsLBafq2mbRf61Hvn1SvzPE7t7QT/fqIyEgCiZe0fcEPImTUEbG3t9u25zaMwDCxg443d+1+7dlsEW5IMhJEAgLI5dTb8nKOwloU1Z2TQlZHm5/c6TxCVkZUzX3y0tRH8+4nKSACIVvEw7Yg2JAGsYeSGDR2BPbdkH1BKxcUJdufSemLXn/WzbWoNYSQAoGzGndCGhsKfM0zbm/AqI4OeM7K/vb3PGVncya33Cc+9Ml8MbN3qXxUEqIwEgKhZj8PcEHJmDQzXr/c/jDT38Z3mqbZWRjqNnKoXdn3hrVu5eeyEMBIAUDbnykjCSC/cw0j/Ot/+DtMu3i7zUGGvYaTdUB8qI72hMjI4VEYCQLSKh2lHtCEJYA39Nm3q9O257SojncJIa//N7m/rifF5mIPcVCpDf8JBpGHkzTffrAMPPFCjRo3SqFGj1NTUpEcffTT/++7ubs2YMUPjxo3TyJEjdcIJJ6ilpXBp9NWrV+vYY4/V8OHDteOOO+r8889Xby+TugNAkJzCIz+HBdeyMIZp53I5Xxc5setImVdvZJh28JgzMjhU5wJAtOgLeGcN/TZt6vLtuc19DYPTat3WUJTKSPtRFlu2+Nc+tSTSMPIjH/mIfvGLX2jRokV6+eWXdeSRR+rLX/6yli5dKkk677zz9Mgjj+jBBx/UM888o7Vr1+r444/P/30mk9Gxxx6rVCqlBQsW6M4779Qdd9yhiy++OKq3BAB1wamzEWQY+eCDS/WjH80PbYhzkMJ4D6lUxtfXsS5gk8lk1d3dvx/09np7LcLIypkvPlgsyl9OFxAAgHAwTNs7axi5ZYt/U7fYVTfa3dzOZLJF50mnCsp64dSffeON9SFvSTJEGkZ+8Ytf1LRp0/TRj35U++67ry6//HKNHDlSzz//vLZu3arbbrtN11xzjY488kgdcsghuv3227VgwQI9//zzkqR58+bpzTff1N13362DDjpIxxxzjC677DLNmjVLqRQVAwAQlCgqI8877zH98pcL9PDDbwX2GmEJozLS78WErBcF1rb2WllmNxy23ic898o8ZyTzs/qLfRAAosUCNt4FuZq212HadtPu2FVV1hOnYo0lSwgj7QyKegMMmUxGDz74oDo6OtTU1KRFixYpnU7rqKOOyj9mv/3202677aaFCxdq8uTJWrhwoQ444ACNHz8+/5ipU6fqrLPO0tKlS3XwwQfbvlZPT496evorCtra2iRJ6XRa6TRDDOPIaBfaJ1q0QzKE0U7d3X3PPXBggxobG9TTk1U2K3V1pQJ53Ww2p+bmdknSK6+s1Ze+9FHfXyNo5nYxFnEZNEhqbOy7L5jJ5JRK5TRggD9tt3Vr//xBw4ZVfu8xlcoqk5EaGnIF29XaWjg/US6X9bTdxsXGkCENymT6Kiq9/m3Q4n6MM753ktTR0RPb7fRbGO3S02Mc0/qOa6lUTg0NUk9PSgMGNJT4a8T9u4M+tFM80S59jP5BY2OD0um+Y3BcPpO4tVFXV+ENyba2bt+2zXjugQMb8qNe7Pr3nZ3FIzR6esLNU+LWLv19ib7ro+7uvurRZcs2xGYbw+D1vUYeRi5ZskRNTU3q7u7WyJEj9fDDD2vixIl67bXXNHjwYI0ZM6bg8ePHj1dzc7Mkqbm5uSCINH5v/M7JlVdeqUsuuaTo50899ZSGDx9e5TtCkObPnx/1JkC0Q1IE2U7GHb7DDx+j887bXT/96XItXtyuHXfcpjlz5vj+etu29eYrl4YObQ7kNcIyf/58rVz5oSTpq18dr1NO2UmS9PLLW/Xzn6/SHnsM9eX9rVnTd5d8+PABuvfeAyt+nt//fo3++tcN2n//gQXb1dxc2Andb79BnrY7ne67u37TTftr4cJW/f73a7XffkNi1aZxPca9886H+f8eMqQlVp9ZGIJsl0WLtkiS9t9/pKZP30k/+tG72mGHwZo799ESf1nbOjszSqWyGjOm0dPj4/rdQSHaKZ7qvV26uvr6Ld/+9i767W8/1E47xatvIMWnjV59dWPBv8eObfPts3r77bWSpGnT/kXz5m1Sd3dW7e3vaM6c9wset21bcbVkc/PrmjPnTV+2oxxxaZfFizdIkv7930fpRz/aU1dcsVIvvtimdDrZ1y7l6uz0tqBS5GHkxz72Mb322mvaunWr/vjHP+q0007TM888E+hrXnjhhZo5c2b+321tbdp11111xBFHaNy4cYG+NiqTTqc1f/58HX300Wps9NYhhv9oh2QIo52WLl0oaa3+8Y9WvfjiVvX09N3NfuedRl111TTfX+/ttzdKekOStHbtKF1wwTG+v0bQzO3y2GNPStqohx9u0ezZfR0XI2xdtapb06ZV/xm++mqzpLfV2ZnVSSe9XsV297XtG2/0FmxXXyDdP2R+8eIeT9udzS6WJJ1zzlvKZIzn6vLlPVcr7se4Rx6ZI6nvAuTDD0fqv/87+s8sDGG0S2vrG5Le11tvdegnP1kuSdqwIaXPf36KhgyJvLscmYMOulXvv79V7713jkaPHur4uLh/d9CHdoon2qXPgAFvS+rV73+/RpK0bl2Ppk79ggYOjHRmOUnxa6OVK1+S1H+D8o03pOuv96dP8OST8yWt15w5G2SsC5zN7qZp0w4peFxLS7uMvrlh5MiPadq0j/myHV7ErV1WrHhR0hq9+GKbTjrpdaVSfX3oF15I64Yb6qPPJkmbNm3y9LjIe1eDBw/WPvvsI0k65JBD9NJLL+n666/XN77xDaVSKbW2thZUR7a0tGjChAmSpAkTJujFF18seD5jtW3jMXaGDBmiIUOGFP28sbExFjsxnNFG8UA7JEOQ7WTM45PJ5AoWLunqygTymq2t/cNROjuDeY2w9G1737DP3t7iOZKy2Zwv7y+dNrdL9QvE9PYWblcqVTiZUzpdertzuVw+dO3u7v/7dDobqzaN6zHO3Kbt7b2x3MYgBdkuDQ19F7vZbE7GTD59x7mBdfc5m73zzmb19mY1Z85KTZ/+ryUfH9fvDgrRTvFU7+1i9A+Mc10uJw0YMEiNjQOj3KwCcWmjjGVqwm3b/OsTGP36XlPhY0+PXR+vuF16exXJ5xOXdsnl+vr31uuj1taeWGxfWLy+1+hvM1hks1n19PTokEMOUWNjo5544on875YtW6bVq1erqalJktTU1KQlS5Zo/fr+CUHnz5+vUaNGaeLEiaFvOwDUC7tJq6XgVtFbv74j/992K/olTRirafu9mJB1IvlKFrBxet+1sEJ6GMyTytfC9yBOnPbfel7pPZfL5d//xo3ehlwBQKXsFhKr52OwG+siM372+ewWsDEvoGewW6yl3hewcdpf2Y/tRVoZeeGFF+qYY47Rbrvtpm3btunee+/V008/rccee0yjR4/W6aefrpkzZ2rs2LEaNWqUzjnnHDU1NWny5MmSpClTpmjixIk69dRTdfXVV6u5uVkXXXSRZsyYYVv5CADwh3FStQZUQXVCzGFkUIFnmMII3/xeTTubLexIdXSkLL8v/Z6cOmPWlbphrzCMrJ+J0MPgtJq211Xia5H5M2lr82+lVgCwY9dHqOdjsJviMDLl8MhKnrv4M+/uLu7f2xUm2AWZ9YQwsjyRhpHr16/X9OnTtW7dOo0ePVoHHnigHnvsMR199NGSpGuvvVYDBgzQCSecoJ6eHk2dOlW/+c1v8n8/cOBAzZ49W2eddZaampo0YsQInXbaabr00kujeksAUBfs7oZKwYWRGzb0V+XY3Z1NGrfOtV+5nHGXvKHBn+e0Poc17HQKc8ycOmNZ+miemPf9Wgjl44TKyGLm43xbm38XugBgx+6mZj0fg91Y++F+jpaw62d7rYwkjKQvUY5Iw8jbbrvN9fdDhw7VrFmzNGvWLMfH7L777nW1MhEAxIHTSTWoToi5MrIWwsgwwje/h2lbLxKslZFeqhecw0gqI71gmHZwnML0er6AMFe9bNvWE+GWAKgHdv0ILzc665G1v+1nMYBdX97uZ3aVkU7TONULp5Fj7Mf2YjdnJIB4OeWUh3TQQbc4VsKhPjl1NsIJI5O/L4YzTNvfSqZSc0YyTDt45n2/Fr4HceIUptfzBYT5+7ptG5WRAIJjXuDOrJ5vCLmx9rf9vE6znzPSLoykMtLKaX9lugF7hJEAXD344FItXtyiv/xlWdSbUvNyuZx+8Yu/68knV0W9KSU5V0YGU61VOEw7+R2dZC5gY62MLD+MdAp2yCK9MXfyg/qu1SsqI4uZLzTb2wkjAQTHqQ9BiGPPGvr5ea6yr4JkzkgvnMNIOrp2Ih2mDSDeUqlM/kSzZk1bxFtT+155ZZ0uvPAJbb/9UG3a9CM1NDREvUmOnO7ABjU8w1wZWQsdnSSGkaWGaVMZGTzzFAW1EMrHidMFbz2PCjAfz/0+ngCAGTeEymPtb/vZr7TrX3itjOztrd9zpuR8HZTU6Yja2nrU09OrHXYYEcjzUxkJwJG5EoKqiOBt3twlSdqypTv288H19tqfVIO6cDeHkbUwH02pTokf4ZxRuehXzldqAZvqwsiKN6uumIP4Wpg7NU6cLoRr4eZHpczfV8JIAEGioqw81nNTLudfFanXOSPt2sxuJe564jw3ejI/l0MP/V/ttdcNgeUAhJEAHJkPPNbgAf4zX+zFPfx1Ch2dQspqZDJZbdrUP0y7FsKB0mFk9a8RdGWk9fm9bDMVDtUxVybUe4ffb04XcbVwvKmU+Tjf1UUfAEBwqE4vj925ya9rtWqGaddye6VSmZI3gp3DyCC2KFi5XE5vv71R7e0pPfrou4G8BmEkAEeFYWS8w7FaYA53tm7tjnBLSnM62QYRNm3a1FUQdNVCRyeMysiw54z0ss1u+0dSh7CEyTxPZL0PhfKb075ZzxWo5s+ku7t+PwcAwaM6vTx2n4tfhQzeV9P2Vi1ZC7q60tpjj+v0iU/c6nod4hxGJq+PG8YidoSRABxRGRkuc3hkHpYcR2HOiWL9LGqhY1rqc/Ljc/T7O1s8TDtl+X11YWQthMxB6+7u/4xqYbqCOHG+EK7fz9m8jxFGAggSN4TKY9cXNqZ7qpbdZ25fBVk/C9h8+GGb1q1r15tvbtBPf/q04+NqaW50c/sGNTqCMBKAI3MYyRCt4JnDyI0bO10eGT3nuX38v3DfsKEwjKyFu65JHKZt7UhVMkzbbf+ohXYNmrmTzwqj/jI+T+t+XM8LBZlvEBBGAgiS8zBtznV27D6X9evbfXlu78O0+35mXm+zVtvL3Ee97rrnHffXWpob3bwfBNUHIIwE4MgcRnZ2ciESNHMlW9zDSKcqtiDu/FkrI2shtAqjMtL/MLLw38XDtEs/h3tlZPLbNWjmagUm9feX0+eZTtfvuc/8fa3VahcA8eBcGcmxx47dMXnDBn+uHexXzvZWGVkLfXQ7hVWCvfr5z5+1fVwtVUYWhpHBfA8JIwE4ojIyXObwyK+hFkEJc4Jma+eqFjo64aym7e/8LsVzRjJMO2zmznAS5x+KM6cqh3q+EDbvb/U8XB1A8Jgzsjx2n8umTf5cO5RbGVnqZ7XA2n/95S8X2PbDarcykmHaAEJmDiOZsyV45jByy5Z4h5FuVWx+3/2zVkbWQghDZWR5v0PfPmH+jGrhexAnXAgXM19U8v0EECSnG0LmhdvQL65zRtbqKBdryNrRkdbVV/+j6HFu58qkVUea33NQOQBhJABH5jCS+aKCVxhGJnM1bcn/i3drGFkLw1OTGUZa54wsv/KSYdqVs36vcrnkdWzjjPnKipm/r8xRCiBITv2Dej4Gu7GrQPSrkMHr8Ot6Wk3b7n1dccVzRf11t/eftOsXc78zqFEihJEAHBVWRtZvdUhYzOHR1q09EW5JaW7DMPwOrq3DtGshgAljARvz99cP1s+9vb047Cz1vtw6YrU6tMcvdnela7XTHwUqI4sxLQCAsDgdg7n+sGd3bmptrb6QIZfLOQzTZs5Iq23bUvrd7xYV/KyWpiNizkgAkdq2rT8QozMQPHMY2dYW7zDS7WTr977CMO3KBD1M2+75S1VPue83VF+7sbs4oGLdP85DBOv33Gf+vlKJCyBIztXp9XsMdmN3btq6tfow0qmfZtc+9V4ZKUlz5y4v+LdbJW/S+hPm7Q1qugTCSACOzJVVSTuAJpE53Nm2zd+qNr+5nWz9DkisYWQtXA8HvYBNLpdTV5e/7WDepN7erO0xoVQn1O33Qd11rRV2Ib/fbVzPqIwsZr3QrOfPAkCwnPoHHHfs2X0ubW3VXzs4FRTYD9Oup8pI+8/F+nnV0nREDNMGECnzMEyqloJnDiP9XgnZb24nW78r8jZs6Cj6WdKrI4OujAwipDIHpE5tXE0Y2dUVzEp9tYLKyGBRlVPMeuHk97EdAAxON4SSFuCExS4c8mN6Hqfwt97njHTaD62fVy0N0za/56BuChBGAnBEZWS4zKsTW1cqjhu3E6p5eH+1UqmM7WI+SQ/Hg54zMojQwLxNTmF5dZWRyW7ToNkdg/2eF7SeURlZzPp9jft5CUByMVVGeez64X4UMpQXRvb9zDpyphY5L7BUH5WRhJEAQme+0E3a3ZwkMgdIca9AcTvZ+jnf5caNnbY/T9ocph0dKc2cOU9LlmyTFHxlZDBhZP82OYUShJHBsQvg4z63bJJQlVPMet73Yz4yALDjNexBH7twyI++H5WR9oz32tBg/Xnh+3V7/0HNuxgUwkgAkTKHkbV6cokTcyeiuzveYaTbScnPai27IdpS8iojn3hilW666WXdccdaSaUXeql2zsigh/lXOkzbeN/WzpxEGFlKUJPVo4/zMO36PfdZ37tdlToA+MH5hhBhpB27c1NnZ/X9KKf+tdc5I0v1b5PK65ymtTQ3uvm9BfU9JIwE4KgwjEz2HH1JYA6Q4n7CcjvZ+rn4jnXxGkPSKiONoesffNCttrbuhFZG9v93EMO0kxYwh81un6cy0j9U5RSzfiZbtnRFtCUAah03hLzL5XK2Nyj9mHvbqdjArl9qXxlZm9eLTvuh9TxZS3OjUxkJIFLmMLJW73TFiTlAivscOW6dQz+r8jZssB+mnbQTuhEkpVI5zZ+/KqFzRgY9TDve+3zUmDMyWFTlFLO+99ZWKiMRf3ff/bo+8YnfatWqLVFvCsrgfEOI6w+rIOc4dnoOu9ekMrK8YdpBLC4ZJHMfIKjvIWEkAEfmhUicTnzwj/kkFfdh8W7b52dAYlRGWof1Ji2EMQ9BfuaZ9wOvjAx6oQmnwLlUcONeGVm/oY8XzBkZLKpyilnfe9LCyK6utG644QVCqTpzxx2v6dVXm3XRRU9GvSkoAzeEvHMKDP04XzmHkd7mjKzV60Wn/bCcysi4T8FlVThMmzASQMjMgUa14QjcpdOZghNY3O8sunUOgwgjg3yNMJiDpNdea/ZQGRnvYdrG81tD4lKBonsYmaxOWtiojAwWF8LFrN/XrVuTFX7ff/8b+sEP5uo//uPBqDcFITJC85aW9oi3BOVgqgzvygkMy+XUj7Mfpl38enEvpqiU0/sqDiOd99ekVUYyZySAyPT2ZguquaoNR+DOWsmWy8X7M3e78+nHBNoGYwEb60eRtBDG3LlbuXJLaHNG2i0UU7nSw7RLLULjtt9QGenO7vMJugK2njhdxPl9YfX44yv16qvrfH3OoFgvPpJWibt8+WZJfTeAUD+MMDLu092gkPMxOL594aiUM5Tar+f2GkbGvZiiUs5zRmY8PU5K3kKN5n0hqJCZMBKALeswzLiHY0lnV8kW5ztobnfIOjv9rIy0nzMyeWFkf1tu2lR6AZtqv2pBrKbtZQGbaiojuXB0Z3w+5oA56FXT64nTRZyfHfANGzo0derdOuKIOxNxPrW+97a2ZA3T/uCDNkl9F9FUydWP/jCyNkORWkV1undu/aVqP69qF7Cpt2Ha1vDRLYxM2nz3DNMGEBm7sKee584Kml0YGdfALZvNuYZlfp5snYZpJ60izBzSZTK5ksMd476attPzl1oRmzkjK2f32cb1GJFEYcwZuXFjp7LZvu+/EZTFmfW9b9uWrP3N/Bk//fR70W0IQpPL5aiMTCivw2DhHjhW2z+utjIym63N9vI+TLt2Fmo0ty+VkQBCZXeRS1gQHLtwZ+vWeFahlDohBTFM2yppIYw1SPrgg62uj4/jnJFehmlXN2dkfCuB48DuAiGYdq5PzpWR/p33zN8PPyvIg2K94E1aJa75OLtgwQcRbgnC0tGRzn+XuYGeLMYNIev0MlRGFnML2qutYDf6YtZ2sOuX2rVNrQ6rdzqeWPsO7mFksvq5DNMGEBm7sCdpB9EksQsVNmywH6IctVIdQz/3E6fKyCRcyJtZQ7pSWaNfq2n7ORLUbpi29fmrqYxkSJ07u6A3zlM5JE0Yc0aaj41JmH/R+t6TVJGey+X04Yf9lZFLlrREuDUIi3nFd0KsZHG+IVSb4VY13MLITZu6Anluu/5kPc0ZaZwPrZ+D9f3W0k33wjCSBWwAhMhuOFbSDqJJYh9G2gdxUSt1ce7XMO3u7l7HYYF+Vl+GwQghvC4oU22IGHTFnFMoUWpYnHsYmaw2DZvdZ5u0+YfiLIwLYXMY2d4e/7azXmgmqRJ348ZOy8JhrdFtDEJTGEbWZihSq5xX06Ydrdz6WtVeO1Q7Z2S1N9PjyunmhrXv4BbGJu06ujCMDKZdCSMB2LKrjEzaEK0ksbvI27gxrpWR7h1Dvyoj3TpUSa2M3GWXIZ4eX+2d5ejmjHQPI433ZRe2Mr+XO7tOLJWR/gljzkhzG27bFv/KSOvFV5L2N+ucnC0t8by5B3+Zw8igKnkQDKdjcCZDO1q5h5HVXTuU0xezC5BrvTLSyhq+1tackeb57hmmDSBEdmFk0iavTxK7cGfz5uqGWgSldGWkPxesTkO0peRVRhohxD77DPf0eL+GaQcliMpIqh/cGZ+tOchl6gz/OFVG+tkBL6yMjP/51Pp9TVIYaR6iLfV99iyEUfuojEwu59W0aUcrt8+k2mHaTjeVvQ/TrtXKSKcwMmv6b/cFPpNcGUkYCSBUxoWSeVgpYWRwjKpT8+e9ZUs8w8hS8zD5dcG6Zs02l9dIznBBqb9zt9dewzw9vtqL5uCHadsfC6obpp2sO8Zhs7tAYFEx/4QxZ6S5vZIw/6L14qu7O/7bbDAWrzGfU197rTmirUFYzP0mQqxkcTrW1mq4VQ23/lK1hQxuz21dxKaehmk7V0aWfowhaf3cwjCSYdoAQmRXtdHeHv9hZUllFx6Z7/DHSamTrV/VWosWrZVkP89i0irCjLuhI0cO8jRvZLWduWCGaZdeTZswMjh2n0/S7rLHmfOckVRGGpI0xMw6TFuSnn76vfA3BKEqHKZNGJkkYUyVUSvc+kvVFjK4Pbe1LezaplbDSKdCDPP7LXXMSdoNZPPCkoSRAELFMO1w2YeR8Qx/w5oz8uWX10myHxqSvDCyrwPS2NjgKYys9qQf9PyuTmEnw7SDY/fZEuD6J+zVtJMwB7P1O5mk8NsYpm0+f7z88tqItgZhMYeRtTp3Xa1yroykHa3czv1bt1ZXyGA3JYzBGsjZBXS1WsnqtICL+UZ9LVdGBhUyE0YCsGWEkeaTEWFkcOzCnba2eIaRpe/8VX/BmsvlXC8ckxdG9m1vY2ODBng488ZxARuzSodpu3VSSw3/r3d236skhUNxF8YQQXN7JWFlai8XnnFlVxn59tsbI9gSSH3h8AsvfBj46xSGkbUZitSqMKrTa4XbsXjr1uquHdz6Fda2sLuJbB3KXSv8qIxMWhhpfs9BtSthJABbrKYdLuPCNMjwd/36Dp1zzhy9/npLVc9T6oLUj2EIH3zQ5rqATdJCmP7KyAFq8FAaWe1FVNCraQezgE2yOmlhMw+XcfsZKhP2AjZJCCO9XHjGlTFnZOHPigNKhOMrX7lfTU23acmS6vofpZjDSPPCEog/59W0o2/HbDan//mfp/Tii8XHlSgYfS277mRbW3XXDuUM07Z7bO0O0y69H5bqxyYtjKQyEmV57bVm7b77dbrjjtei3hTUAPswMv4XT0lld2Hqd/h7992v66abXtJppz1c1fOUuvPnR6hUajhd0uZdMUIIr5WR1a+mHeyNgyAWsKH6wZ1dAE+A65+wh2knYREu68VXUirNstlc0WraUnznYa4Hq1dvVS4nPfDA0kBfxzy9DVlksjgda52Gx4Zp0aK1+uUvF+quu9bGovLPra9Vbf/PPYwsXS1fq2Gk0/5p3h1qrTLSvL1B7faEkTXkySdXafXqrbrggsej3hTUACojw2UXRvpdOdPc3C5JevfdzVU9T6m7g35cvL/00hpJ9nd9peSFkeZh2t7mjKzuMwz6xoHTvlkqHGPOyMrZdWIJcP3jXJXj5zDt/jbs7Ix/dbf1+5yUSrMNGzocF1bYuLEzgi2Cse8HPf1MYWVkbYYi5Vq0aK0uv/zZ2AchYVSnV8oYqdTdnY1FX8WtLatdHK3aBWziENYGwa1/axxrajuMpDISJRh33Klegx/sTmZJGFaWVHbfW78/b+MirNpqqlInWz8u3t0Wr5GSd0LvDyO9DdOu9iIqyKqrdDrj2BlnARt/tLX1FE1CbxfAx+EirVY4Vd8ENUw7CfPeWr+vCckiXYdjP/XUqhC3BIZUqm9/D3ruccLIYhdc8IQuuugp3XjjC1Fviqs4D9M2jte9vblYjEhw62tV2/9zu9nvrTKyqpePLS/TDIUxcixMVEaiLMbFLpUS8INdGNnVFf+Lp6SyCx79DpSMMLLaIS+lTqbVdhxLLV4jJS+M7O7u295BgzyURaq6zzCTyeZfz2+5XM71hlepQNEtqObc1SeTyerjH/+N9tnnxoLvmt0+n5Rhs0kQTmWkOYyM/809u+9zEi6m7OaLNCxcGPwiKiiUy+XyAUe1VVulmMPIWq3QKtemTX19v2effT/iLXFn9AGszRaH85xx7M5kcrG4ceq2DdUWMrj1r6030eqrMrL0zfTSYWT0+045rNsbRNsSRtYQ4wARhztISD77ykjCyKDYdR78DpSMMDKbzVV1Qil1ss3lqjthrVixpeTcXkm4IDYzD9P2IlPF2wvypkEu597RrWaYNmFkn9bWbn3wQZs2buzUc8+tzv/cbs5IPyp/stkcU3DI+YLXz6HJhXNGxv98avd9TsIICWO+SLsi9Ndfbw55a5DJ5PIBU9DHmi1buvL/XaOZSNmM72zQVanVivMwbePYnU7nYnEz3L0ysrpzi9tzW6sm7fpttfq9c+ujGp9ZrYWR1n0hiH46YWQNMQ4QcbiDhOSzCyOTMKwsqewu8Pzu8Gza1N9Jr6Ytva0oV/kJq1RVpJS8VYSNtmxs9HbarSYACTIsKBVcVTOfKGFkn61b++dUW7duW/6/g1q18sQT/6jx43/lWk1WD5wXsPGvT2W+wZSEeW/tvpNJCCPdhmmvWNEa3oZAUuGNlKDPT+bjp1S7VVrlMD7zuN90CqM6vVLma+w43AwvJzD087nNI7ZyuZxDGBl9ewXBrd3rYZi2FEyYShhZQ4xwoVYPAgiX3STjSRhWllR2HXS/wxnzxP3V3CH3sl3VXHAYYaTb1IpJOqGbh6gNHuy1MrLy43iQFxzVDtN223fiUP0QB+Zjr7nKx+4Co9oqZEl68cU16uhI66abXqzqeZLOuTIymGHadpWucWP3fQ56mK0fjDDS7qvR0tIe8tagcOGm4PqR7e2pou9r0iqRgmCcs+O+poBT/yAOYaR5zsg4VUbaHeOc+sdez2VuYaa56tLL6tK1xMuc56Wuj5J20926rwex7xNG1hDj4OHHxQlAZWS47DrofoYzvb3ZgmCjtbXL5dHuvASB1VxwvPRSXxjpdhhL0gWG+eTtdc7I5FZGMky7WuaFazZv7v9vp05gtZ+bcXHx3nutVT1P0oWxeIL5HJrUysjNmys/d4TFGKZtp6urlxsfITMH70FOT2A3vUscgqOoGX2CuE8NEedh2sY+nMvF43P0srKz2U03vagxY37had5Q9zkj+/uXTv3wWs0g3K47aneYtnWOUMJIuDB3crmoQzUymaztyTYJF09JZRcg+XljYcuWroJwr6Wlo+LnMo4vbpWLlVbPZDJZvfLKOs/bkATm743XYdrVVAIEHUYGNWdkHC444sC5MtL+AqjaCyPjedev7yzxyNrmfCHsZ2Vk//cjCdXddtto3ifjqtSUA4sXt4S0JZAK9/sgb2oTRhbLZnP5zzzuUyzEeZi2eb+Nwygxt/06lys+dj/22Apt25bSz3/+bFXPbe5vJOEc5ie392vsE7VXGZm1/JswEi4KV2mM/q4Nksupw0IYGRyn4TN+3YE1D9GWpPXrKw8jvdzZq7R65p13NnkKMpN0Qjcfm70uYFPN0NAgh2L1VUY6P3+pdnELHJPUpkEyh5Ftbf3fBafjb7Xne2P/NFZcrVdhV0YmISSx28YtW9wXF4taJpPVmjXbXB/zyCPLQtoaSOFdnxBGFisM0eJ9beg8TDv6vkHhVAPRf46l9mvr3KnGd6PU4pClntu8DzlXRpZ8iURy66Ma12q1F0YyZyTKkKQTDuLNKQxKQhj54otrdOWVzyXujp1TAOzX/Fx+hpFeTqaVVs8YQ7RL8XOF26CZvzcDBgQ/Z2RYw7TtKmOr6Yj5uVBIkpkvItra+i8cnCojqznfm+cz9XKRUsucbgD4OWdkYRgZ/2OY3fc17vtJS0tHyePQM8+UHqoI/5jPgUH2Iwkji5n7A3H/LMKoTq+U+dgdhwrTUm1pvblofDe87ANu8xknrbrfT25BnLFPVDNvehwVzxnpf75EGFlDwhoGgdrnFIDFvSMjST/4wVz9938/qf/931ei3hTPenuzjp+tef64aljDSPPK2uXy0gGp9ILVy+I1Ujw6p15VslBFXOeMzOXcFz9iAZvqmSsjzcdip2NENTcs0ulsvoph27biRcvqSdgL2CThfGr3fY57GOk2X6Rh6dL1IWwJDIX7fbiVkebVf+uRuT/Q2xvvY45T/8DPY3ClKq3uzeVyWrOm9DGpXKVuZq1bV1gdblxLeDnvuK/UXboyUopHm/nNj8rIpPVzrdd7QVxfEEbWEPMBIsjVVFH7nMPI+Ifcy5dvliT9/e+rI94S79w6y9YQsVLFYWTlz+vlzl6lF6yrV/fN9VVqmEeSOjqVVIJUU/jpVrlYrWw25xqQV1MZmaQ2DZL58zUHv0HcsCis9oj/8T0ouVwu9MrIJFSV2G2jOSyPo1LzRUrShg2dNbvIQhwVVlMFdzFu9DvM5744VLFFqTCMjPc+H+cFbCqtjLzssmf1kY9cqzvvfM3X7Sl1/li3rr3g38b0GtWGkV7PYXFoM7+5z6Xpbc7IpC1gY93eIPqJhJE1xHyAiHtnEfHmHEbG+yDa2ZnOh25JurB269hUM5zazBpGVlPd4uVkap2vxiuv1UJJCq4qqYyspiMX9DBt4/xidy1fTRiZpGrXIJnP38b8nLlczvG7Uc35vrDKIf7hWFDc9j1/KyP7P+MkXKzZfV/N85jG0Qcf9FUhud2MyeWkRYtKL5QGf5iPM0EOU7Tr19R7cYa5PxD3fpPTMTEO213p6MNXX22WJN1888u+bk+pvnJzc38Y2dubzV/XeTnPu91A93pjIWnDkb2ot8rITCZb9N0LotKcMLKGmA8QhJGohlMYGfeTi3l4VpKG5riFR0FVRlYTRnrZDyo9BnkNI5NU1GIcm8upVKym8x10GOkWNJfqaLmFPknqpAXJ/Pkax7FMJue4z1dzvjdfVOVylQXntcBt3/PzQth8Xop7lZJkf6xvb493/9LLMG1J+tOf3gx4S2Awn9eDvOlkzFVtPlZSGVn4/uM8PYTzAjbRHysrXU3b6Gv7Nf+7oVQ7btjQ3+c39xG8FJW4zxnptTIy+jbzmx+raSfpc7HbxximDVfmA2V7e32ffFGdpIaRxhBfqXbCyEpXpbbauLHweSqtXJS83VmtNCApZwhDUobZVTKHbzUdliBX087lcq5tWypgYZh2aebP17jb7nZxUM1cj9YKCPMFTD0JqzLSfCxIQvhuH0bGu9LMqIwsdXp47rnkTOWSdGFVBLe2Fh8LgzwfJoG1fxnnSlGn43Ac+nqFlZHeA10jjPR7LYdSYaS5AMFcfOCl/+4+ZySVkXa6ujIFj3EqPkjCed9gtx8EsSYJYWQNMV+s1PtE9KiOcbFhPZjG/eRiDiOTtIiTWxhZ6arUVtbKyGouKL3sB26LnLgp5659nO/wm1W2gE31lZFB9N/Nw7TtVDNMOw4XHHFQGEb2taXbvl7pd00qPk6uWrWl4udKMrcLBD/3y8JQJt77eyaTtT2GxD3c8TJnpCS9/fbGgLcEBvM5MJcL7ljPAjbFrP3LOI+ci/Mw7cLKyPiHkeZrB/P3wkv/3S1k9FoZGffrxUq4fy7eKiPjsC97ZbePGTfI/UQYWUPMO0g1Fyeo3h//+KYuueTpxF5cOwVVcb94MoeRlSwaEhW3izu/Vi71M4z0Ur1Y6d33cgLGpLQxw7T7uVdGVrxZNcX8+Rr7jtu+Xs132RqUr1zZWvFzJZnbuc2v03gulyv4vON+UeJ0nI9/GOltmPbmzV2JqlJJMuvxK6hFHOz6SwzTLnz/mzb5c4M7CLW4mrYRCvo9BUqp75CxYI1U+L0odcxzm5+673XrtzLS7bMz9olaGqZt177MGQlXrKYdD7lcTmec8Yh+9rNn9NhjK6LenIo4XdzGoUPgpjCMrI3KSLthR5WwhpHVdNCNk63bRXqlAUl5YWQy2tjYznLCyGoukoM8/peqjCzV0ertdW7fuB9fwlI4v1Om4P/tVBMOWS+q3n+/teLnSrIw5ozs7S2sNIz7zUqni6rOzvj2L3t7s1q3bpunx+Zy0oIFHwS8RZCKz9VBBYT2lZHJ6CcExfpZb9jgz6KIQXDqP8Shb2A+V3rte5r7S34vAFqqr2zuRxRWRrp/lqVCzp6e/t/X02rauVzO9bMxqmVrvTKSYdpwZb7zGPc5fWrZ+vUd+TtSCxcms6Nr7D/Wa6W4H0STWhnp1jH3a0iNn2GklzlnKr17VsuVkZL3NLK6ysjgLr76KiOdq3VLdcTcOnNxD2fCYlfF4HbxU11lZOF3aM0ab1VltSaMykhrJz7uu7vTcb6cIYpha25uL6vy5OGH3w5wa2CwHmfCDSOpjDTza1HEIMR5mHYlq2m3tfXkj/Ne+s3lKNVXNo+QNH8vSn2WpZ43lep/7279vVqrjCx1XjH6aKXed5L6uQzTRlmsZdVxH0ZTy955Z1P+v81l8kniNMw/Dh0CN+YwMinzCUr9nUW7yjk/plxIpTJFoWY1d7e8dDIqvdgop93KWdEwSpVURsZ1mHYu5774UTWraSeojxaYXC5XMOez8Xm6V0b6N2dkc3N7xc+VZGHMGWl3zI3zBZvTjYM4z8fsdb5IA5WR4bDeTAmqYMJujm0qI5M/TDvIvsHbb2/UYYfdpr/8xf3GhPm457Wfat4f/T7Wl9oGc7+gnGHapcNIc2Vk/YSRpd6P12Hacb+ONrPbF4IYkUYYWSOsdx0JI6NTGEbG96TvJomVtblcriYrI/0Ycmu3Inc1Ya2X+Z4qvQAo50TX3p6M41wl+2J1q2nHeZg2lZFuurt7C75f2awx16DzPlRN+Gz9vrGadjG/dku7NozzVBNO39U43wT68MPyKntZxCYc1n0/iL6x07kpzuF5GKznhzhfl0SxmvZFFz2phQs/1BlnzHZ9nPlY7fW4XRgC+vseSlVamnMA82iWUp9lOZWRbtsQ1LywUSn1eRvHuFKPc/v40+mMfve7RVqxYnPZ2xeEuhimfeWVV+rf/u3ftN1222nHHXfUV77yFS1btqzgMd3d3ZoxY4bGjRunkSNH6oQTTlBLS0vBY1avXq1jjz1Ww4cP14477qjzzz9fvb31dfIJaz4WlGYOI+O8ap0bpzAyzlnBhg2dBR1ev4dEBMnt++rHd9luWE41dy29/G2lJ6xyQtL29mR8vyr5LOJaGdnVlXZto2oWsInz8SUsdueMVCrj+plXU/lj3TftblzUg0rntyrnu2Z3HIjzTTOnc2ict9lYvMZrFfrWrT2u89jCH9ZrlCACsW3bemzPIYSR1jAyviO2nCsjg+kcrFy5JT9Vg9v0M5J1zkhv5wtzGOn3eyjVVzZ/5wq3w/15SwWt5pDR66rbtaDUdY8R0lYzTPuxx1bojDNm6/jjHyh/AwNg1wcI4vwfaRj5zDPPaMaMGXr++ec1f/58pdNpTZkyRR0d/ZPrnnfeeXrkkUf04IMP6plnntHatWt1/PHH53+fyWR07LHHKpVKacGCBbrzzjt1xx136OKLL47iLUXGerKt9zlSovTOO/13NGotjIwzc1WklKwhAlGEkdWEXV6C3nDCyGQc5yrplGWrWFo6yDCy1DGtmjAS9p9ve3vKdR+q5nxv7Vi6DcGvZe6Vkfa/+5//eUJjxvxCCxas9vQadm0Y5ws2pwvNOE+BUu4wbUl68slVAWwJzKz7TBCBmN18kRJhpLU/UCp0i5LznJHBvN711z+f7wuXqlwsHKbtbZ8y7+e5nL9DdEuFQubvnHkhzFzOPRArXRlZXPRhd/MnzjetKlF6YR9vC9i4hcHGtdpbb20ob+MCUhfDtOfOnav//M//1KRJk/Sv//qvuuOOO7R69WotWrRIkrR161bddtttuuaaa3TkkUfqkEMO0e23364FCxbo+eeflyTNmzdPb775pu6++24ddNBBOuaYY3TZZZdp1qxZSqWSF6hUyvqlJ4yMjrkyMomhnpTM7baGkUlayc0YVmt3kvLju2wXRuZylQdDpVbjkyrviNRiZWQln0U1ne8gp+koHUa67xulvpdJmk8nCHZhYHt7KrTKyKR8p/zmPmek/c8XLvxQ6XRWv/rVQk+vYReKxLmv5nR+iPPwuw8/7FtJu5wipL/8ZVnpB6EqxTc9/A/EnALOeg8jrf2BOBdJhDlMu7W1W7fd9qrptb2FTZL3fqo1IPfzeF9qG8zHb+t2uPX9y3let3NBkkaneVHqeslrGOnG+Ozjcv1qH0b6366DfH/GKmzd2hcmjB07VpK0aNEipdNpHXXUUfnH7Lffftptt920cOFCTZ48WQsXLtQBBxyg8ePH5x8zdepUnXXWWVq6dKkOPvjgotfp6elRT0//wbitrW9YRzqdVjod346hm23bCoc89PQk973YMd5L3N9TJpPV8uX9lZFdXclsB2MBhcGDGzRwYINyuZy6u/s6A7lcLpbvadWqwjk2crn47y8GIwAYNEhqbOy7R9Tbm1M6nVM6nSn7fVi/Ly0t2/75/A0aOFDq6elryy1bOjRmzNCyt7enJ51/vsbGwluixnZnMuVvd9/f952Ehw5tUIPDWLuurr7HtLf3JKKNOzv7wuZBg/rez7BhzvcBjfdW6ecn9YfbQ4Y0aMCAMlbNcWD+/re29gfb5veRTufU25sreXwwLjbM7ZvN5tTTk1NDg9TV1a3Bg6PrmkR9rtm8uW9kSENDf6Cyfv02dXT0HSMGDJCGDOn73FOprDIZKZ3urXh7OzsLL0xTqcr3uyAF3S7d3f034Iz9OpPJKZXq2y/tXte4adfW1u1pu9rbi8OStrauWH7eUuG+MWzYgPzn4fQdj/q7I0mrV7dK6u+7uDG+P6+8sja2bRCEKNqpq6vwBvfWrf7v9xs39i2+1dAgDR06QD09WWWzfVVsSWjfoNrFeoMpzv0mI8Ayvr+ljsHVuOWWl4qC2lQq5djvNIfavb3ezpObNnUU/LutrUuDB1ffJ5P6gyJrP8/oT0lST09KAwY0aMuWwoKEjo5ujRgx2PZ5jb6GVNjHM46X5r6pcd4cOLDvWsDcV+zqCm8/C+OYZj0fGozjTG9v33HGqBw0PhODuZ/b3d2jgQOLrwOM18jl3PfFsBjXLgP+uanZbHlZmdfHxSaMzGazOvfcc3X44Yfr4x//uCSpublZgwcP1pgxYwoeO378eDU3N+cfYw4ijd8bv7Nz5ZVX6pJLLin6+VNPPaXhw4dX+1Yi8d57hWHkrrumNGfOnIi2Jjjz58+PehNcNTf3FNxJ2H13JbId1q9vlST97Gd7a+LEkerszOjkk5dI6gub4tgOzz67RpK0yy5DtGZNj3bbbUjFn/3rr2/Tq69u0ymn7JQPkIK0bFnfML+vf32Cvv71CZKkp57arOuvX6099hhc8fsw2mnBgr5j4RFHbK+TTtpJ3/72Ug0YIP3jH09UdLL74IO+z/o//3NnHXfcDgW/e+KJTbrxxg+0117lf/6ZTC4fVt166ySNGmV/ijr11CXati2j9vZ3NWdO/FdDXbas7/M65ph/kST9/vcfd3zs6acv1aZNaQ0evKbidm9r6zsfXHPNx7TLLuWHzVbbtvXq1FPfkCS99dZiSdKuuw7VjTful3/MX/+6Xr///Vrtv79zu+dyuXzYfMstEzVmTKMkadWqLp133jKNGTNIjz8+r+rt9UNUx7jnn2+VJO2zz3C9+64xZOdFvflm34X2xz42Qlde+VFJ0i23fKC5czdpjz2yFe8rixf3zcG9006DtW5dSmPHDor1OSuodlm9uu87M2rUQN111wGSpLff7tAFF7yrCRPsj8EtLX03wHbbzVt/6/XX+24KjR8/WC0tqX++xgt6//2BvrwHv61c2bf/jR3bqN//fpJefrlNP//5Sn3kI+7npCj7B8uX9w1vu+KKj2qffdz783fcsVZ//vN67bhjOtb7fFDCbKflywunMshmP9CcOVt8fQ3j2LnvvsN11VX76qc/XaHFi7dpxx23Jap9/W6X999fK6n/BteECd2x/Ty2bGmVJF144Z46+OBR+WPOHnsM9XWbe3tz+tWv3pQkffGLO+iRRzZo9OhBevTRR20fn8vlCoZm77qrt2PGSy+ty//3gAHSCy885VvAlEr1BT033bS/dtihP1j88MNunX322xo2bIDmzu17Px980D/sd/jwAXrmmccdn3fZsr4AdccdB+vWWyfmf37tte/rmWe2aM89e/Pv/dVX+xYA++QnR+mCC/ZUNpvT8cf39RHXrXtdc+a86cdb9SzIY9q6dX1B4dChA3TffQfmf/7zn6/Uyy+3aZddujRnzhwtW9bX5l/4wjj9v//3kfzjli/v1A9/+I7Gjm3UY4/NtX2NxYvXS5LGjHHeF8P0wgt9RYIf/ehwNTYO0BtvtJd1PO3s9LYgYmzCyBkzZuiNN97Q3//+98Bf68ILL9TMmTPz/25ra9Ouu+6qI444QuPGjQv89YPw8strJfUPNXnjjZxuuWVadBvks3Q6rfnz5+voo49WY2Nj1Jvj6LHHVkh6K//vRYu6NG1a8tohm31XUo8uuWSFBgxoKBgikUrlNG1a/NrhrrsekrQhf8JYubKz4s/+8svv0EsvrdenP/2vOvvsf/NxK+3df/9fJG3WAw+06OGH+05GRii3dGlH2e/D+n154on5kpr11FOb9dxzfRcA2ay0004H6xOf2Lns7b3zzj9JatWdd67VPfesK/idMYS7ku3uu/Pc15E544ylJSsju7p21rRpk8vb+AjMnTtX0gY9+ugGnXbazvr2t9/Ivwer7u6+n3d2TtC0aZ+q6PVSqdclSf/1X8t86fiav/8jRuwhaYXWrOnWSSe9nv+50e5Lljgf8/qGnvS173e/+2ZBZaQkbdnSq8MP/7xGjx5S9TZXKupzzcaNr0t6TytX9t9gHDRob02aJEnv6Z13OvOfeyrVt68sXpzWXXdVdqx75ZXnJK3T+vV94Vhzc0qf+cxRGjnSvmoiKkG3S18ou0xtbZn852vsl83NKU2Z8gUNGlRYyXDuue9J6taSJTn99relP/+GhuWSVmjDhv4qsTFjJunzn9/Lp3fhr5deWivpHW3ZktZJJ72ePyetWmX/HY/6u5NOZ7Rly2uSpIsuerfksS+d7ns/ixZ16Y9/TF4/rVJRtNMDD/xVUv/olXXrxuiHP5zi62sYx87ly7t00kmv5xcZWb58sK6+Ov7tG1S7XHvt3ZLa8pX2ixdn9L//G8/P43/+Z42kbl155ap8ZaQkrVrV7eu11H33LdWmTX19kXnz+gK11tZeHXroERo3bljR49PpjLLZxfl/v/12Tr/5TentmTfvMUl9N/yyWWm33T6pAw4Y7/5H6utzffWrD0rK6eGHv257LOvt7duec855q+D3Rn+tszOrAw44XLvuOlrnnLNSUnf+5wcf/GnttNN2tq+93XarJb2rDRtSBX08o7/x5pv957tVq16S9KFefrmt4LF9z7O/pk37aMn36ocwjmlvv71R0lvq7s4WvFfjOLNs2SBdc800Pffck5JaNHfuRj3xRP8xz+hPbNqUduxjvf76PySt1ZYtvZo8+QiNHVu8L4apq+stSau0fHln/vixYsUQXXGFt+/ipk2bSj9IMQkjzz77bM2ePVvPPvusPvKR/hR5woQJSqVSam1tLaiObGlp0YQJE/KPefHFFwuez1ht23iM1ZAhQzRkSPHFTmNjY+wCFq8ymcIDVVdXJrHvxU3c22jlysJ5C7u6emO9vU6MhUH6Sv0L52pJp7OxbAdjrihjrr1MRho0aFBFYYwx/O7vf/9A5513mG/b6KS725hrJFc0H2Nvb7biz9pop82bu//5XIXzPW7c2FPRc2f+WfzbN4zcfi4fYz8phzmg6xvq4T5PUGdnMo5zxmfU+88b611dWccw0pDNNlT03vqG9fc9t5fPsFzbtvW9iVxOtu/Brd2z2f7KAqdty+Uqe99+i+oY19HR9xmZ587cvLlH2203JP/zrq7Cz627u/LvgbFvZkzTAK1f36Xttx9R0fMFLah2GTCgvzrRul/nclJDw0A1NhZ2mY3pELye543P2DwfbEdHfI9huVzDP/+/8DPJZvs+L7thZlJ035116/ovmMo59rW3p2PbBkEKs52sc8tt2+b/Z75tW1+/1XqMrOb4GAW/26Wrq3COtzjv70b4mEoVfn8zmZyv23zHHX1BXkND/7RFkvO1s/kxxr+9bE9bm3XxIG+f/caNnZozZ7kkafnyrZo4sXAEUiaTzfcR3I5169d3aa+9/qVojtZ0Wi79NPvjvsH83o3HZjLF1y7ptL9t5kWwx7T+853d55JK9e07xjmo73rLaXX4Abbbae6HdXdXfu3nF6N9s9n+aYN6erxvl9fHRbqATS6X09lnn62HH35YTz75pPbcc8+C3x9yyCH/rOp5Iv+zZcuWafXq1WpqapIkNTU1acmSJVq/fn3+MfPnz9eoUaM0ceJERe2xx5brk5+8Va+9Zj9k3C/W1Y1qbRWrpDAvXiPFe9VJJ7lcLn+RZaevkxA/1gVspMon2jfmhrFb+CUIbqsf950EqvvMnd7H+vUdtj8vxcsEzZUsRFLu98VtP42TyhawqazNq1nMxItSk9+77ate9pt6X23b7vNtbe1x3YeqWd3Q7m9XrvR3+GQSlJow3u73xnHb63HLOK+Y74/FebE4t+9i0MeZSlSykrbEAidhsB6/jBvefnJaTTuJ/XA/WfuXcfzuGsJauGPdur5pT6zdlU2b7PvK1mOE12uLLVu6XP/tZPPm/sfZHde87tPr1rUrk8mqra3wPON23im9gE3xatqVPE9QLr74KX3hC3f7voBOqb6pUTnqpQ/rtG2FK6BHv+q9XRsa79NPkYaRM2bM0N133617771X2223nZqbm9Xc3Kyurr4v4ejRo3X66adr5syZeuqpp7Ro0SJ961vfUlNTkyZP7huaN2XKFE2cOFGnnnqqFi9erMcee0wXXXSRZsyYYVv9GLb771+qRYvW6ayzZgf6OtYDZb2ffKNiDSOTeGHd1dXruhJlHFfS7OnpVXNze9HPK73IMP7OqCgMmlsYKVXfeXQKIysNW72c5HO58kPUco9bce5Um9mFEKVUGkYGHdCWCiPdVgH31kmL3/ElTMbna/7qbNnS5frdqKZzaHeMXLWqteLnS6pSq8Bb991cLpc/bnu92WD3Wcc5jHT7LpY6Z0Xhgw/aKvq7JPbTksZ60yOI85Rx8W7tdtT79ZD1u9rdHb/vrqHUcdgvTjfwNm2yDwutj/cadFkDJacV363MYaSxoGjh63s7ZjU3t9v22dzOO6VubnpdTTuq791vfvOSHntshe6//w1fn7fUZ278vpp+rvmzdwrGw2TXhum0/9ddkYaRN998s7Zu3arPfe5z2mmnnfL/+8Mf/pB/zLXXXqvjjjtOJ5xwgj7zmc9owoQJeuihh/K/HzhwoGbPnq2BAweqqalJ3/zmNzV9+nRdeumlUbylIkbnc9kyb+PmK2XtDFdTKYHKWcPIsO7y+anUxZHTsNwoffih/UVIV1dlnS7je2sd2hCUUhd21V6wOoWOTh2vUrxevJUbBpcfRsa3U21WyfG40jAy6JDALiwzcwugvVxo1HswYHfM6auMdN6HqqkAsAvSKq0wS7JS52rrftnTk8l/B7wet+w+6ziGega3/SqOVelGP6DcmVkymVzVow/gzrrvB7HfO1dG1vc5xfpdjfPIOXPVnVWlfSI7TjeynfrE1r6s136KdZ/cutX9Zq7BHEbaVRF7PeesX99h+5rVVUb2t4PbOcLvykSvgspdSrW58Xu/KiPDKoZxYx9G+n88jXTOSC8n/6FDh2rWrFmaNWuW42N233332K4M1h9qeDsAVfs6hqgOAvWsqytdNFQ4l+s7gQ4YEPyKzH4pFXzFsWNnN0Rbqrwy0uisbdsWzgVXqQu7rVu7teOOlc/h5hRGmjs85fB6MursTGvYMO9zntRqZWSYw7TDCiOduG23l05anKs2wmAdTiX1VUa4fTeqCXDtjpFr126r+PmSqlRQbv29+Zhd7jDtwueJ7/7utl9t2dIty8xKkTNC9Epyxc7OtEaMiNeiTbXEejMlzDCy3q+HrJ91EGHCK6+s06ZNnTrqqL2qWjTPOu9g4e+yGjx4oOPvy+F0bbB5s31f2dqHqzyM9BYwmYdz212TeT3nbNzYafu98BJGGquvW5lv3Bn7kt3joqqMNF7X72HOpY4jxu+9fL+crgnMn5nXIf1BsnvPQbRrpJWR9cA44GWzuUBLbotLyOMXGNW6FSu22B6Q41hB4CaJlZFOYaTd8AYvjINtWJV3pTrm1cxd2dWVdrzgrbTy02tHrNwLjnJPckmZ66uSykgvVYS//e3LmjnzsYIbe0GHG6UCercgwFsYWd8XjnbfyVJhZDUV+Had4ubmyuaSTbJyKyPNxza3ah4zu+NAnPsHbv3ISm9kBanSYdpSPC78apn1+BXEjUTCSHvWzzqIEVtTp96tKVPu1uGH/75ohFg53LbNz+126pO1ttpfM1Q+Z2ThPml3s9GO+fhqd47w2lfetKnL9nvhvi5AqdDNHEa6zWUd/vcum83lt6/UjfNy+VkZ6XRtaf7MvA7pD5LdvuB2w6BShJEBMx/Annvu/VBeR2KoWxScTsBhVdf5JcmVkdYbspVUJGcy2fz3J6xQv1SAVOlCM5L7UOxKK7a9du7LDTtrN4zsv9PsVanKyN7erH7wg7m69trnNX/+ivzPg66MLBXwV7uATVLaNCh2Heht21L5fci+UqHyzqHd5x2HuYrCVu6ckeZjttfOud1nHedh2u6VkfEL75yma/HCWNDCTy0t7Vq48APfnzeJrMFEEMd5p4v3ei7OSKczRd9jv+dlTKUy+RvmCxd+qIkTZ+nCCx+v6DrU7W/8uq7N5XKOQZnTPmQNL73cgEqlMkXHd68FEn6Fka2t3WVXRpYKEb3OGRlFDmH+XPwOI/2cM9LpZox5+8OaJsyN/TBtKiMTx3zCXbDgw8Bex3rwCGsSYPQzwkhr4BDHCgI3pU6Wca6MtF6oV3IyMn+XstlcKPN+lrogrSYccKuqrPRk7bWTUe6dvXJPckmZGzeIOSOXL9+c31dffHFN/ufBh5HBVkYmZR7QoNjdIOjsTJeojKz8mGy3b8YxaApauatpmy8Qy51D1/wdifNUE8bx2O4mShxW+rSqpjJyzRr/pyY48cQ/6bDDfq9nnw2uECEprMeZIMJI58rI+g0jnfoDfgZF1rAsk8npF7/4hy688PGyn8vtXObXdW1vb9axf9XWZr8PFRf8lN4WuzDJ6/zv5r6zXbFCOQUBxvfCfBzv6HD+/pUKOguHacdrNW3zccbvxeH8rIx0+l6arz+Dnt7PC6MNzX2WII6nhJEBMx/AXn+9JZTXkZK5cErSGWGk9WK8pcX/O+5BSmZlpP1FSCVhm/W7FHSpfDabK9kxr3Shmb6/dQ4jKz1Zex+iUt52l9t5ifNE7GZBzBm5dOn6/H9v2NDfxsaFQRXTNrmqpjLSy3kpjMrIK654Tvvtd5PWr6/82Hzppc9o//1naePGwqrlXC6n44//g6ZOvbuiRTHsjlmdnWnXQLuaxTfsPu84dILDVupC13rRZb6Y8Dq/q91xIM7hu9txPm5hZCqVqaqvFcQ8qUaf//bbX/X9uZPGevwK4kZia6t9f6Oeh2k7hR5+Tg/hNLLnnnuWlP1cYVRGuvXHnK4Zigt+Sm+L3bWD1z63uYils7P4u+K1r9zWlrI9Vnd2Vj5M23yudDtHRHETwNxOfoeRpY4j5YSRTnOjmz/7SqcZ85NdGwZR8UoYGTBzR3/lyi2BvY71xO7nqmPwxmmYtjkoSILXXmuW5BxmxLky0qqyysjC79KHHwa7sqyX8CWoyshKq+gqnby7lFoNIysJ2Eodw994oz+MNLdx0JWRpTp41c8ZGXwYef/9b2jZsk26+up/VPwc99yzRG+/vVG/+tXCgp93dKT18MNva968FQUVq17ZVVN0dfW6fjdyucoDyaSt8ByUUheX1s/ffAHutb9lt2/HeVoCt++r30PgqrVmTVtFC9cY/L5p3NmZzgcKQVRdJo11LmC/q6YymazjfHz1PG2V07Hcz6DGKdis5NonjDkj3Y65TiM/igt+Sh9s7ENAb+fWwjCy8tW0Ozqcwkjn7Sh1o8BuARs7UdwEMPdn/O7H+DtnZOlh2nGY4s1+zkiGaSeO+Uu9bt22ot/5dXfZeqAkjAyfUxiZtPm35sxZLsk5VIhbZWQul3MMIyvpcFm/S6tWtVayWZ55OWFWMyG4EVTZhcuVLnbitZMRdBgZ1Wp95TLOA37OGbl06Yb8f5vvwAcdJFUTAHvppG3cGPwQYWO/r2ZYp7Hq5vvvtxb83Hw3e/nyzWU9Zy6Xs+2AdnWly5rHqRx2F2ZJ+V75qdTFpfW8V1llZPFnnYRh2nbiFkZWM1+k5P9NY/P2VDPnc60IepFNt/2RMLKYn9NHOfUje3uzZc9753Ys9asd3cJIp2DVuv96CUbLXTjGzNyns6uiqySMNF/TuYeRzvNTS4Vt5HaOiCaM7G8nv0cdGMcsp368sU9Uc9M9yGHmlbCfM5LKyMQxdzQ7OtIF1QvTp/9Z48f/Sm+8Uf3wbeuFSjV3iFG+LVu6HDuz1ayEHLZ167bplVfWuT4mbpWRW7Z0O55YK7mzZP0uOQWdfvHSOXnjjQ0lH+PEbf+rtCrH68mo3OGetRpGBlEZaQ4jzZ3eoFfT9sKpSs9LJy3oSmSp/zvndWVLq1wul79YsO7j5mNOudMrdHSkbdu9pydTcl+vNNSyC8gymXDmyo2TUu/X+jlZj9teKlPtVoqP87y3bsf5OFRtmFVzY0Hyv5/2wQf9x7GkzRseBGu/yu+A0C2MrOc59J36xhs2+BeQu/Vhn3rqvbKey22/8Ksd3cNI+8+rkspIu2mKvJ6nzccMu7/x2vft6rIvenLbjlL91aQM07Yb3l4Nf4dpl66MjMMIFfvKSMLIxDHvcLmctGpV31Dtjo6UHnroLaVSGV155d99fR1DPd8NDJtb5VrQcw76ae7c5SUfE7cw0tzpt6pkXhzrxWHQQ6y8nHCqqfowLrLsrpUrvRD2esez3OqZWg0jK6kmdAs3UqlMwTHH/DnHoQPj1FH3ck4KY0ij8RlVOifPtm2p/Hu0hjLmu9nlVgY7VZGk05mS+1ClNxac/q7eApTSlZHOc0ZK3r7jdp91nKeacPu+xqFqw8zoB1Q6V67f+7v5nJ3UOVi7utJVzUdrZv3++H2zw21/rLcbK2bOYaR/4bvbZ//MM++V9Vxux2H/5ox0Pld6WVhE8nbzyW7hGK/n6cIw0m4BG2+fRSqVse2HOM1ZKJW+LvBaGRn1atp+T4FS6v0Yn0uth5FB3NwhjAyYdYd75pm+VfX+/vfV+R122bLKh2Aa7A4ecb7jXmvcwqK4TfTuxhii7dahj9swbbdOVXt7+Qdz63fWOr2C37yccLq6eisecuA27LXSzoLXvyu3esY48Xm9oEzKxPSVhKZulZHvvLOpoA3MFwPG/hRldbzT/uGlExPGgl9GVUClVaTmCwXrhZg54Cx3ASen8L63N1tyH/I7jAy6IjxujMDC6dhjvRi17jtePv+k9dPcjq9xCyONPlilx71yh5OWYq7UjPMiRU4++GCrdtjhlzrxxD9W/Vx2qxf7PZWU27Gcyshi1SyKaOX22b/6arPn5ym1T/g1V53bsdqpYtCvOSO9nCdyuVxBH8PuhpXXPmU6nbW9GWJXpe/2emaFYaTztUAU14rmz8XvYoVSAbCxT3gLI+23Lcg5Lyth956DuLlDGBmgXC5X1NE0JrR/8slV+Z9VO9eNZL9jx3li9FpjHOztLmT87uQGJZ3OaN68FZLcO/Rxq4x0X6Cl+mHaQS9A5PWEYz5mlMPt86n0pOL1rmx7e9CVkfEKxu3kcrmyQ1bJvbNrXklbKrwY8HOVzEo5dca8zRkZ7Pctnc7kt6PSzp7b5PLmAL7ciiinx2cyxX0Jq0rDIad+QpAL7sVRqX0zlXIfpu2lv5W0yki343wcLpTMqh2mXemUDU7M/fp0OutbhWFYFi9uUUdHWn/841tVP5fdsauaRbfsuB3/6nkO/XDmjOz77O36NytWeD+PlD4GhxFGOlVGFv6Nl13XGBVnfqyX431HR7rgs6hmXudsNucwTLv0nJFOzN/bOM8Z6ffrl66M9D5Mu6en9GracchwqIysAX0dkMKfGfN8Pfnke/mf+XFSsDvZx2FHrhduw1H97uQGZcGCDzwNq41bAGTMfWPXEarkgsn6vQl6ASKv2/jYYysqen63cCebreyCwGtlZLmVqeV2NpNQGVlpB9qtXcwraUuFHUu/58mpRDVhZNDTWpiDW3/CSOfKyLa28t6L0/E3m82V3I8qvenldOHx3nutFT1fUpXqYFuDOeu+46X6LWmLBbl9X2stjCz3xlkp1u1J2lBtI9zLZnNVn2ed9nE/9323m3CEkcX949bWcCojy1m8qdTNcb+uPdzCNqffGcdu43P0sk/ZhYBeKuGtmYDd96ScG9x2IzTctqNUduC1MjKKYdrm9vP79UsdB/+ZRXoq1nDaz8ztEocMx27fC+J4ShgZILsv+3vvtWrLlq6CRULS6dJDsEq/VvHfJ3FoSFK5hXhxG87k5NFHSw/RlpJWGVn+d8D6vW1tDfYiwus2vvzy2oqev1SYWslQVa8n+XKr9Mo9DiZhXtxKK5/cKyMLFzQyd5LiEBJUE0YGfdFu/nwq7eyZO/fWYV3myshyw3i380ipba1kdWO70RsGP0ZsJEnpBWzch2l7Oc9XM9wuCsZxxe6+SByOM2bV7q9+L/xl3Z6VKzf7+vxBM+/P1X42TudAP/chY3vt+q+EkcX87Ne6HftSqYznEUqlbgj5NaWF27nUKXCqZs7Iwucv3QeyhpF2359ybhDY3eB1H6bt/jmb37pbny7qMNLv772fc0Y6fcbm7Y/DqAn7MJJh2olid8Bbv75Dzz77ftGX5LXXvM+r4fW1Krk4QWWMz9ru/BSHYZNezJnzrqTSww/iVhnptkBLJSvMWr9L5VY3lcvpzrXV8uWVXcyUqryuZBEPr52Mci82yl19LwlhZKWBl1tn1xpGmj+HOBxvqgkjg95+8z5Z6cVN4XxOhc9hvjArd85Uo7rR7lgQRBjZ21s8esMQ9Fy5cVPtAjZeKlPt2jDO1d1RLGBz1VV/13773aTmZu/7X09Pb1kVWPbP4W87WBfW82Nu+DAVhpHVtbXTcdbPMNItME3aEHk/OX3Gfk4fVWr/ePbZ9z09TxyGaTv1Qa1/42WXsgsjvY0O8V4Z6YVd38A67YhZrQzTzuW8B5Jr1rTpYx+7Sb/61QLHx5S6PjE+F29hpP1jzO0ah76BfRjp/+sQRgbIaX6gxx/vm/vNfMGxYMEHVb2W3cmeMDI8bif2uFUQ2Pngg61asmR96QcqjpWRzmFbJUFQqQoYv3ndPzZt6iq7U93T01ty+8udyDybzXk+wZcbBpfb2UzCxPTmY3NDGZNGOn3G3d29RcF0Ntv/+DCON6XeRjVhZNB3g82fT6UXN+Yw0npzxhzul3sR73bOLvVdquR873Z8XL8+2Okp4qZUZaT1wsB6XPXy+dv10+J2c8/M7eKr3KDdq3vuWaJlyzbpssue9fw3flTx+nnh19GRKqpGWrEiuZWR1S7C6HRM9zPQdnuuOs4iHft/fn5/jddw+pyffvo9T89Tepi2P99R4zhs149x2ga7vynVD7arSPQyT3s5w7Qr5RSG9f3Oe2VknIdpS95HiD7++Eq9884mXXzxU46PKfV+ygsjnSojzXNeRt83sDsvMkw7YZw6+g891DchtPkL/eqr62wfW81rEUaGx21eyCSEkcYQbS/idvFkzBlpp7Iwstfy72DDEa9hZzabK/uCZvPm0hcR5a5eXE4HI+gwMgnDryrdf5ze29tvb7T9nRGCxeF447yadul9p69aL7h2NX8+lXaWzRcZ1vdkvsgrty3chqiXqtCu5MLebd/0c7XVJKi2MtLLxb3d+civFWKD4BbQBXWcMYKvcioJq50vUuprf7+OO3bh6PvvJ2vaA/PxpNpFxZwuvP2cH7jUjZ96rY40vqfWt+9vGOn+XIsWebu+LfcYXCm36wK3m8BWpW5g2IX4Xvqs1jDS7nWq/Szc/r6c6ya3zyCKYgHr+/LaLzKO2W5BrNu0Jeafe+lXOlWmmgPIIFatLpfdfhLEsZQwMkBOX+i1a4uHn1Q7hMPuoiKoO9coVs1cX3FgLI7ipXArfpWRzh3lSoIga3uFGY6U8sgj75T13F4Wxyp3eFs5FSTlDoM1TnxeP+44nKxLqXQosFOn1bqStsG4sAu6ktcLp46W1/AvyHOX+ftWaZht/l5ZO9zmyshyj/1u032UmuOrkjDSbfvsJr2vZeVW5VgvwL1Md2F3c6a3N17nUzO372tQQ8iM49iGDd4DML/mN/Wrr2YXjq5dW89hpP2+4ueKzsb2OvUdwqzS+stf3q56tJtfnPqXfk6HUqrP8e673m6ix2GYdi5nfy4w9mHjGimXK709dmGkl1XkrSF9EJWRbsdvL9dNRt/JrXoviso+a3/b63QExjnEbQhy6WHaff/vLYwsfkwuV7hQYRyKLVjApgaU07Gxzi/jx2sRRobHLYyM8wT1hpUrt0jyFgLFoXTczD2MrH6YthRstZnTnWs7zz23uqzn9hIolHPRJ5XXqS/34q7c70oSih0qrYx0em/GfJEDLGfvNWv6OlNhVEaWnlfW/j0b+06pmx52N+z8Yr4IK2dOITO3ygXzebfcymC3jnOp71JllZHOz9nSUt0cfElT7mra1gtwL/0tu887zjdU3M71mYz36Tq86u3N5vfjcoIqo/9cxiwYtvwK4I0LW/P2JO37ZD6eVFvB6HScqXb4t1mp419Y/fC1a7fpq1/9g6ZO/b9YhAlO/YEgFg9y0tzsbfRNuVNlVKrUudTus7FfRMZ5e3O5nOPxpFSf0Hrss/tcqr0Oc/s+eLluMtrCrU28Vv13daV9K/iwfrZeR3h8+GF/n9PpPXm59snlcp72U7sb9tY2rbR/6if7ykj/X4cwMkBuBzxrp6naIVF2B4+krOJcC9wuIuMW3tkpZ6hunCojc7lcYJWR5u+oU/Vga2u3HnroraoqKsrpFL7xhrd5PQ1ehmmXWm3bqpz9udzPv/wwMj77ohO/KyONfcB6B9dYcCQOC9g4tbvXINu4ORIE6/etks/LenFeuIJ2/3+X2/Zu032U4ndlZG9vVo8/vrLi7UmacisjrftRpatpx3ne2//f3nvHy1XU//+ve28qJaETQDrSVEAEKSpIAEHELyAIQfzQBH4UBcEGSJciShepktCblAAhCSUFAoT0npvek9t72727e87vj3V2Z2dnzplzzsyWm/fz8fAhubt7dvacmfe85zXv93v8bL1JMQnI9aOClBlikYhRpwNd0cQPWXBBuZU94Ptz1AhG1Xxgsv/4RecVSoxcubIZrgt0diawbl1rQb7TC5V/qVtLTwe/ex+Pp7TmwkJFRvr5pTJbLlsXeLWnpyeptJ9+Pr843mTR80GziESiRkayZ+W3YeXHqlUt2GGHf+Kii0b7vlcH8ZnoBlvw0fWqTWQdkTGRcEJHRsr6U7EzKwtlN0mMtIjXgBYNSDyeipRGIBs8pbAo3VzwcpwdG0dPGcRx3EDRcaVUM7K9Pe45GYYxpDKnafXq1ry/NTR04Qc/GImzz34Tt96qLnrsRxAxMmg6GtuZ9YoYCbrQCGKngu5kh4mMLHVB0nTNSPEkbUZtbVowL4U0bdXCQ7fvrFnTarA1uYQRkUTEMcPXc+SFyaAbUVHqPHd2Bn/ufn3zqadmhG1O2eEfGemdpu037sQULEaxIx+88BuvLBrbFLw4FUQsMZWmzUfHRLtOvjhq8vTiQpB7gI35YAnA7D0plcjIjRuzfSjK5pIp1GKkOZFDZ605deoG3/f414w0s/bwE3hk83C2D2edaS//1ktoDypGyjbKgvZncQ3g5ZvEYv62l33eqx06/t7s2TXo7k7gtdcW+r5Xh/zIyDBipPz364mMelqO7L7J7GSxdRxVPzGd0UFipEWCKtqLFweLeuKhyMji4nXwgOOUtmDS2hoLKDCVzm/xq2UUxgFl45Z/ZGvXtua8p6mpGyed9BIWL04LQx9+GKyWI0+Q6ICenmSgRZpONEbQ6IQgAmNQMSbM8yrGiX1BCLuzKRMpurp6sXq1PGqwvr4TrusajXgIi0rk0o0Ci1q2xAtxIRAmNVNcLPAnT/O1A4P2zSiL8zBOq1/fnDx5bdjmlB3+KYLeadp+9181JkpZjPSz9aYjmPm5KJHQr9Vs4gAbIBtdHhVZe0phkygI/PrBy7/VQdX3TR6yWSqRkbyoYfKAnrCohC+T90Onb0+atNr3PYVO01aZF9m6QhYZ6RXt6eVX+M3zYr+R+U1Rn5+XbxKL6UQA6qRp+/s/zAYkk46RuVB8Jjr+XSyWzHnmqjGjs55JJPTESN1DiYqt46j6uOmMTxIjLRJ0Efrll+ELHss6TCmcqro54Diub/H6Un4WQU9T7u21e6BLEPzEyDAnlcocZ35x0dLSg5NPfgnz59dl/hZlwgi6kJo40d+pY+ikaQcVI4MILEF3z8JFspZ2TdawadqyMVZd3ah0oOvru5FIOCWR9hk1MtJmzUjRFgetmQrkO7gNDdkyDnxkZND+H2Vx3t1ttmYkkN7M4H9bX8Z2ZKTKHyyVuVSG34Jj3TqzmwbiIlx3PJjavDCVpi2L1LR14I8t+P4cVTRUzesmIwf9fLCw83BQ+Gjhtrbip+YXQozU8X9nzNjk+x4//8DUGNKZ9/I/k//dXtGlXn61n0gtbnbKRLqo98LrXuvVjDSTps3bFhNRgGK/1lkDiRH+KnunJzLqpWnripEmD/kKg8pOmJ7PSIy0iGwnxYvZs2tCfY/ruopDN0r/FGebzJixEQcc8DheeWW+1e/p6ur1rdtR7N0NL4KfpixPNysG/mJk8IWebCJmEROu6+LMM9/AnDm1Oa9HiXoIuqBjJ5/rwEQTr/4ZdKERZEcsqDAWZretUIuMsJhM0/aKRGpu7il6Sgcjas1Im4c9iGM1qBgZjycl1+DFyOx4ClpGIEoEUpj5XmfD9N//3jxStZlwrHpcovMtLkT9IpJVdqqUS034jVdT6dEMcQGvU66hpydhrB5jUF9IhWyD0XWLn3IXBN5njSpGsr4vroXMnujsfS3TAQHXXPMhjj76P3k2lE/TjhpRagLV7zaZUaLzHJcta/J9T6mkacvsiWw979WnvMTI5mZvn0MUoGTzQ9TDHr3utc61dSIjdTZjedti4tBd0ffUyTYR57HWVvm41Vmf6KZpy64l85tLV4ykyMiyIWhk5JIljaG+J53Okv/3UkjXKyZjxizDsmVNuPDC0VbT/nQctVJI11ARdOHf2+tohfEXAiYkqAT/MA6X7LexiIlNmzrw+ef5qYthU3ETiVTgKLCZM/13mBk6E1lQoTzIPQ2adtGXIyODnvQqc0CZ0y+7VmtrT8lEYEcVI4MeqhQE8R75bWiIyGx5Y2N2nIkOdZDaXFHStMPM9zpj5+23q8M0p+wIcpq2bMHhN/a85ohSPeTOL/rBdASzuIDXETBMCqJBbYGMzs5epRBhOpLUJp2dce6/o80rKjtjcpPe71qm58aXX16AadM2YtSoOTl/5/ujyTT0sKh+t8nyEDrPUcdWFC5N2/s6LS35diBo9iHzE+S+WrDISNn6Pqowq3r+quCm/O9Pv8fLp9Px9/jNWxN+n/icdDYExDlEFdGsG/EYVowsxchIlW9iOiCJxEiLBBUowjoqqh33zV2MZItAx3Fx5pmvW/seHYejvt5M+o8NWDSArliSSLglE43mt3gI43DJfhsTG+bOrc17DQjvJG3a1BG4jUHqdOmI4EGjOoP+1iCpqqYOHColwoqlMnHEeyc+XjJiZG9vtDRtm5s34j0K6uzJahCxSAfXdSXpu3oL7lTKiRRhHWZDRCd7o7q6oeQPYTNBkJqRsnHmJzp72YFStWF+4zVMiQMvxEW6zlxnql4kYMbueImjYQMOigG/qRI1glHVvwsZGRlVUBVh66uvvsotr5V7gE3pipGua0aQdF1Xy+/o6Un62hP/NG0z85CfvZVFxsnmV681tpfg6PVaIpGSirvivYkqBqnmO93rsvnM65no9C9+jJjIiBHnWZ0xmC9GqiIj/e9NLJbUygjTFSPD1DQ3ieo3U5p2GRHUwQzr2KkWISZPSytH+Psye3YtXn/dzGldIjo7L/wBB6VG0NSk3l6nZBZP/mJkmMjI/N/GJgQmRoqL97ApL2E2IIJEE+ikrwVdEAT9rUHsUBgHq9QPBghfMzL/b15Of0dHvGTuRdTISJvpbeI9DFozVSZesrpEXV2JvOemuyCNmqIUJlpdR8BMpVyMG7ciTJPKiiALZZnN9LuXXq+Hjay3jd/i33QEs7jw0knTNpn1EtQWyPASI1esaI58/ULgOLkCU9RNLtV8oLru+vVteO652YHmTj/7aVL4TKWczNhYuTIrmDuOmxMBaCLtNCpePoGJzcve3pR2OR6/jb+gdXvD4mdvZXaA37irqkr/LWyatpd/o9oQEdscVYxUlQbR3TyPxRJwHNdTcNQ7wCY7RoKeXyBDbL/Oekm02VFqRuqOedm1ZPbOxJwUllRKXYPetAZAYqRFgjqYPT3JkJFccuNRqg5uoRB3rS6//AMrIprOYtNE+o8t2ASgW7bKcUqnBia7r6q2hwnokY0nlj7JakWK3+e6wQ+rAMKJkUHEQJ2or6CbFkF3p4M4vGEcLD6drBQxWTPSa2HR2ZkoochI1Wnaen3HZm21/NO0o4uRzD7IDjLTtf2m6rLZ+MzTT88KfO1yI8hCWDYOo4iRpVpqwm/xbzqCWVx46aR2soVk0DIYMvwOItSBiaOy9qxd2xr5+oWgpyd3UyVqlpXKzqjmqz/84WNcdtkHePDBr7S/w2/uMzk38j4TL2Q0NHTl+Gel4Cd7/W4T7QtyDT+xqdCnaauQzcX8Z/r1S0snOgfYyNYmXnO9KhJObHPUe6FaG+n6BD09Sd82BD3AxsRheWL7dfonH80stolHZ+2jOx50D7ApZt1Zr99rulQbiZEWYcYjSG3ylSuD75yqDCuJkflG6YorPjD+PTqLSJs10KISJmqzVAQgnYV+UIFfNm7YbpcqTRsIJyYwMTLIQirIoTA6YmRQESNoZGQQYSmMGFkK0QdehLXDsp1rtrCQzSldXb0lI0ZGjYy0eUCWKCS1t4cTI/kxyxxGWV/UdbCj1IsEwomRun1zypR1ga9dbkRN0/YTFL2eTyxWGuNWxG+8mk5DFdMja2v9xw5L0zZxBpCJucQrMnLDBrM1Nm0hLqijZlmpxobquvPm1QEAPv54ldb1e3tTvkKByUwxXpzlfXvx2Rf7wCLHcT1tvN9BKjoEycbwi2IuVJq237wn25Tg+zCLjPS6jld6rdemh8pnF+cPEz6SzMfU9QnSYqT389DJTOPnEBMHkYn3RccnFsetah7QEYB1xUiZvyEPhCneWturj5kuA0hipEXCLEK/+CK4069ycksllbZYyO7/Sy/NNy7SMmPqJSgVuwitF2FC4/nQ+mKiU9og6DiQvT8WS6K9PZ6TkiMSRnBmYmSQhZRu6nkioVeDLmgh7KA7skHSDMJFRpZGX1QR1g7LRHQvxyoWSxZ98cNQ9RG22PDr76mUd/pPFMR7GFRQkUWDscWFbJHBUrj9iB4Zae/wp9bWWNFrF9nGb5OHXzzIxpnfOPfyO0p1Q8VvsWm6LITYx3TEEpM1I038Hi9xlB2EV+qIc2pUn5mNDfGeyK6bSKQytUJ1F7w6856tyMienmRG1BEjrIpdNsXvuZnI2Aric/hFOgc5RCwKfvOezB7zBxH2768TGamez73svWqtKI4FE2Kk7onOMmIxM5GRvM9kwscQ74uODRHFSNWaQmczXT8yUq9mZDHrzno9X9OBDyRGWiTMBB7kpFyGynjYjC4pJp2dvfjii3W+i1XZROG6wKxZwe+xFzoRLcWs++BH0JqRQOksnnScqaA74rLxlEg4mD+/zvNzmzYFX2iEWUjppp53demN/6Dp5UEjI4MI8X2zZmT6NwWN3AlaMzKRcDKvm0hZjILqOQbpO1EjBVWI9zCoLZP1Z3Y4gswR1d2kiLoDHmahFsRHWbCgPvD1y4mokZF+tstrkVcq86mI32LTtI8p+kk6aeAmT9M2sYHv1R4TkT+FQLRjUZ9zkFJSa9a0ZuYJ3VRAHQHAVmSk62ZF5o0bSysy0k8wMHEAVRD/q6bG20f2r9tbmDRt8bklk7m186qqKv53nXA1I736hSzzAsifI0zYXpm907WBsVjC1+fQqxnJi5HRfT7R1nR3e/+eRCKVt0mkej46PpbumJfdG9kzLWawhXdkJNWMLBvCiJGLFwc/bU/1PaVahygqf/7zJ/jRj0bhmWe861ipdkTWrjVX8BzQ27mwtbA2QZgTzEzUVjKBjhgZdBzK3u84ru9GgU59K5EwNSMB3ULKumJkMJUsqOgRxMGgyMgsQSMjUymnZNK0TYiRJkUGHvEeBRWz2WKBF4uZAyoTlXT7v06EvRdhakipIpZklNIcNnt2Df70p4+NtsnPDuYeYCNL044SGVka86mIzqE+qoMQwiAu4HXGpskDbEws8L02GMNE/nzyyUrcfvska5HiMsQ5NWpEmmpsyO73smVNvp8T0eknJkshiAvxadM2Asifs4o9H/t9v4nyUUEEV7+1RpANoSj4i5G5903sh/36pSdpL0HGa6x79VeVvyBmo5kRI/OvoR8ZmTISGclvwnpFk+oitt/vWdfUdOb5P6rnoxcZqTfm5Wna2ejbbFtKVYykyMiyIUyBzzAFroNM9H2BJUvSgu1rry3wfJ9qojDpvALZRaSXT97WVpqCSXd3IpSYU+wdXyA9Meg4993dwdqqGk/Tp2/0/FxNTeHESJ2JoKNDXwQLIpgFjYy0naZdbIffj7CbQl41I+XvL25KB4/6ABv9BTVL1TONeA+D9h/ZYoGNRyYq8c6kbv+PKqwF3VQAgm3UlFJ0/1/+8ikeeGAqbr99srFr+i2Eebsni0D2K3fBn8YqUqobKiYL9usgji2/+aCrq9foITphxpCI1yZKmCj+G274GHfd9TleemlelGYFQnymQed8EdVz9BcjSz8yEgBmz05vVItp2qajh4LiN7eZKB8VZPz7BQ8E2RCKgp+/Kz5fsR8yMdKrf3pHRqqfi+qZiBtWJoRZVUkq3c/614z0fp6u6+b8LhObckFra8rstToy0t8e6a43k8n8eyNrazEzv0iM7COEiYgJEw2iMh59VYxkE5rfIFXdlzCikRc66XWlcuCLSNDTy9hCSnf3xybNzT1aET1BBRpVv5k6dYPn54KmvLS1xUKnZuoIKJ2d+uM/SJpgUIcwyP0Pl6Zdmgt5RqEiIwHzp9vK0Inc86sZqcOaNa3a7w2CuHgKKkbKFgts0SkbR7oH5EStJxe03AIQTCgvFTEylXIwbVraFk+f7m2Tg103SGRk/nP2SyH0sgOlKkbqpEWarIMo9jHHcT3vm43o6Sj1ETs7ez3HSW9v8Gu3tqbtzeefrw3drqCI/TGMbeFR2RmZmBEuMtJ//JisFS+KjCyjTRQji32IaCH8hSBiiZ/4qROJbQK/5yI+X/79FRUVGTHS+wAb9b31EqllmRdA/hrSxPpe1n7dMZcWI73b4FffPh7PPXjKxDwo2hq/NsrmENXz0el/uv6kzKbKnmkxgy28+hidpl1GhJmIEgkHEybonSDHCDLR9wWYGOk/ocgHcZi0ZC90xJZSEO9khL0XpVCnT7f4dlDBT9Wv/MSRoMXAoxTe15mgWGSkjngUJCqLTe666aRBrh3GwSp29IEf4SMj8//m99zD1H+1gWruCbKYMHkwBY94D4Pu8MoWVMyBl+3s69qf1atbAYQ/FThMGmcQHyWoHa2v7zKawstYsqQpI/qaPEgtapq2n7/lda9LVYzUOdzMVARzLJaU3iMvsdOGjYhyiIKfOOo4wdcFzHcsxEZT9jtz+6PryiP1dVHNgbL5YNmy5sx/6/oDOuPHrBiZO/7ZGBCff6mLkSY2mJgQrOMP+n1fodK0/XxG8bmp0rRVwp3juJ5+r1fJANU4t1EzUn5QT5A0be/n4Teniv6SiXWl2H4/n5ONWb7/qnxCnf6nL0bm3xvZvS/m+sbr91JkZBkRdiJ67LFpob5HnAxMFfstJVzXDSBGyl83UbSZR0eMNL278cknK0MddiQSVrwohdTYQouRfgStvxM2RRvQcyKDREYGaUvwyEj9hTalaWeRiUt+zhqrW2pBAwqEiZqRpiPYGVFPpZSJFUy0kS2KdaOOmRgZljDPPEjfDBLh/M471dh55wdw880TgzfKB37eMyni+S2E+ddlNsfv8173ulRtmE5amqka3KrF+9Kl6jrqrOSOyQO7omzo6NisoLWlmb0ykVKri2xcRRHWVKKNbMzwkZG6dXD1akbai4xkz1Q8wKbYdfv97ErUQ9OAYAKS3xxSKmnafnUH2QE2qut0dyc852OdyEgR04dKpa+Z/zyCpWn7RUZ6P0+xP5jIchKfiV8bTEdG6o4H3cjIYm5oeEdG0gE2ZUPYhzV5crB0DJVBlNUkiMLkyWvw85+/FqqupSk6Onozan3YyMgoO98yCi1GrlrVglNPfQXHH/985Ampri4ddRDUmS+FxZOuGBm0DknYexo0coEJgGEWUjoLkyBiJKvDqkPQ3ekg97+Uxch4POkbHeK6Lq66agzuvXdK5m9h54GgNSMBewIej47oZSIy0kaUZyKRv5sftM/Jxh5zLJnwmHu4jV7/XL3aP8LMz1YEPcQmSN8MMo6/+GIdAOA//5kdqD06TJ+eFSNNRuiHSdPmn7Pf573udamWmtAZr6ZSpVXz54oV6nFhIzIyyu/ROS2bF9v8SKWcjDBSyHrATPjIPUgh/FhTiXKiUNDV1Ztz/3V9DVl789tgLzKytTWG9vZ43saTye8Mg59dMdGngmwI+W3MMXujeo7mxEjveVKcR1U1I1Wpqn5+mtf3q3x78Zr2IiN1xUj/yMigYqSJKECx/a7r3Q5mb/i5XJ1t6n/PdQ/KkrVJXsMzIfy7cDaFxMg+QtiH1d4ex/Ll+g6L6ntMn773xBMzMGbMMlx33Xij1w0CL0D5TSgqw2bixC4end1FkwN3ypS1cBwX3d0JTJwYLKVfJOiCnzkJpkO0w8DqXfot0IPUQ3Rd17NfeX1XUMcuSmSkTuozS9PWEY+WL2/2f9P/COoQBnFWw5wIXIjJefnyJmy77f247LL3Pd+3dm0bnnpqFv7614mZTQ+TNSP9Fhf19WajvsNiomakzsI+KLI5IUibHMeViiZMiJIJdjoFzXt7U0ZEnaDOfJC+GcSOMpHIxinRM2ZkxUiTY98/MjI7HmWLTT9/y6ut3d2lWWpCRwwS6+SFRRXt77X5LVtIRiVo5CIPy47w8hOC+PZ8P/Mbfy0tPRg9eomhiKl8sT1K3XOVnRHTv1esyPVDdA8U0hHzTUYpinY2Hk9h3bpWq98ZBtlBWzwmIsuDbKT4zYVBDhELSzLpBK5NKdpuJkaqxpq/GBn8FG5xM8DkOOdhfdZvXWUjMtKEeC9PdVY/D5nfFeVQYF0fTHZvZNfnf8/LL8/HVlvdi+eeM7/JK4PEyD5ClIf1wANfab9XNeFFLTotwnZsFi1qMHrdIPALVD/DoLr/phdIOiJUmMLlKviDVD7/fF2kazExMqgzXwqLJxuRkX59yus+BRUj2YI9zEJKJ027o0PfWQlyWEhQwVDXWXVdN1RNoEII41OmrENPTxIvvTTf8328SDxrVlo0KWTNyEKm8nmheo5BTqu1cWCKrC8G2bTr6Igr359IpKSCgU7k7rp1bUYElaBjIYiPEmTRydJnTdetjscdLFhQn/m3yXk1as1Iv37EFjhhxrUONupz6iz+6+vNHGCjGu/r1qlFehuRkSxbhKe+vguXXvoevv7a+8AknQ2UIOUY+H7hN/5uuWUizjrrDfzzn19qX1+FTKRobg5vj73mQP41MWpUdw2jI6qZFSPzRT4+YpsRZnPVJH52xURENrOFOubH79ALE2najz76Ne666zPl6zqCl9gOdc3IcGKkV78oZGSkbB4zGRnp1ydEf8nEeJFdw8s+yMRIlV+k0/90xUjZvWHPlH+Nv8cTJ65GKuV69m+TePUx01HfJEZaJMrkN2bMcu33FioykjmLxVzw8gKUl+Hy2v0yndapE6VmclHGi5GzZ9dEulbYA2yKXZgbyPYFvwkviMMVZcwGdeyi1YzUOTRJ/xmJtY68CLo7rZveFXaMmD7VTYauuMIL0kuWpBdWJiMj/RydUjkIw0RkpIl6ViIy2++XxsPjNfd1dPQqxEj/56+Toq1DUBsUxN4FSdNkts1xXGOpdQCwcmV3zkLRZCmaqJGRfvOQ15wZdUPl3nunYOedHwhUbkMHnWdnKoKZRQSJETneB9iYqVfJI8sWefPNRRg1ai4uuuhdz8+yyEivvrBhg36bc8VI7z6ycmXahrz11mLt66uQzSMsEyUMXnMg3/dFMVLXLuvYJpMbF7J5eOLE1QBy+2+xDxH1FyOjr4WCzDl+YpOfvfGz0R0dcVx//Ue4/fbJWLiwXvoenTlP7HeqmpGq3+MvRsp/h+u6HmKk+ZqRsmenu7br7U35Pq+gkZFR53PXdaWHrqnW6KmUI42EV91bnfGs6+/L07Tzv5e/xzU16bmwtrYwB1V6jVfTUd8kRlokimCzaVOH9im0XikQJmFiZDEXvLzj67WL5nXvTQ4ix3G17keQiCAvOjriOZOsmNYSlLB12UrhBOPGRr1FUEeHvsMVZcwGjRaNIkbqpEwGiYwMcqhTUAdbV/wP61wVoi4TH4Hj1U7+ubATNsNHRubajGTSMeKAFgITNSNZv3FdF4888jXGj18RqA0rVjTjT3/6OEfMUPVF3QWVlxjZ3h5TpD3piJGtAKIfxBH0dOkg9k5XMOvtTeXc86AHe3mxfHnutRzHNbbpGmQhrFrEe13Dyw5EnU/ffXcJGhq6cc89n0e6Do/uvTW1Oa2KjPQSwUzVq+SRZVywNvgd1qMjzNbU6PtcvL3ysyOs3SY2cdgJ3jxRnrPu4U38SdqA/hpGllYuYnLulNnC6dM35v3NdHZaUPx8L5ndWbeuDTfe+KnnJgBPEEEzlXI9I7ijpmkvW9aU6QMsM0UkiNjGUNWMVAncfvddtR7s7OxVviZe00QUoayduv5qb2/KN6PKL1pfFCMdx7t/+KESM1V2ua6uS3q/oxzAqNu/ZL9T9r38mGA14Xt7UwVZ93inaZMYWTZE3e1+9FG9U7VZ55eNYZOTIauV1dubspISpEOuGBnu2Plk0jHW/s7OXi2HKaqRZUyfvjFngSAeWLFuXRsOPPBxPPro11rXCxoZyRbLpRAZqbtTr1OzjRHFwAe5J6mUE2khpZMSHuQAmyALjaD3SHehXS5ipJdwxZcEYGJz+MjI3H+XQp1WXVROWxAxkvWHDz9cjuuv/wjnnPNmoPnsoYem4oEHpuLaa8dl/qZaJOhusHkdUlVf3y0tCaHj3JuKjAx6OFuQvqm7qbBpU0fOnGjqtGUAWLYsXygytTnqt2GYK0bKv9NrjHrND1HnU7apqCsg6KC72DV1sIpKjFSNuY6OuJXoadlcyPxOv404HTFSt7wMkCv0+NlOdl1bh5JESdP2mtv59soO99Hph8WqGcnbObb5GORQK9v4i5H5r19yyXu4//4vceWVY7S+I6j99WqTf5q29+t8ZLhqg13X1vJ9Spwn+/dnYmS47DtHdO7+h5cfzos/juMa6VtR0rQ7OuK45ZaJAIDKSvkualAxMv394cdpIiH/PlVfUGWEqWytji3Sbb9uzcjc9X52fpdtfpiGtUe2SW4y0hwgMdIqUR3MN95YqPU+3XosUXBdNydS00Y9Lx14R85r195PADGVqh3E8TPxLPgUbSAdjccvkv7730VYurQJN988Uet6YSMji12YG9B36oPs3EYZs0F2KmtrOyOlL+oUk2cH2OgQ5B6xsa+rrYfZiQ5CIfoiH8Xqda94e8DSP0xFRpo8Odg2JsTItMPt4Pnn5wJI//4g8w7baOEjJFR2X1fE81os1Nd3SiOWdewCi4z0G1N+rwcVZ4LYO92dcDF1li3STSBGRgJAa6uZyLyoadpAeMExyrzjum5mYy7IIUN+6I5VXoyYO7cOo0fXh4raUc0rKh/LRr3IdDvyv4+Ne2aTVOhEAQfZMOD7mV9UGftuE76tTGAKutHBo3tgh0yM1NnMlEVyitiOjJSJQyrRqVBkswvkr4u+yZdfrsukm8+fX6f1HUH9Eq9+FDVNe+nSbP9RjUVdsY0fA8w+M1Emapq2qlt4+Rd8nzNVi1QWqKHrr3766eqMOKZai/t1f5ltj3Kmg0qMVG0SqQJCVP1QRwCOEhwhu/esjFAy6eQE4Hz++drQ36OLd81IiowsG6I+rCVLmrQiQbxTks2o111diZyBaLo2kS78BCOexMfjF0UUJC3ViyBipImDc0QxEsh1GqZNS++W6CxuUikn0C49TyGi0fzQbTvvGMRiSc/nEGXMBtmpjJKiDfjvRicSKfT06DvCyaSjHXXmFR0mg/XFu+/+HKef/qpHPZbSFCNd180RWLycaV4MYP0zbESjaNtM17q1ifoAm2CLsxUrmvH++0sz/w4ShcGeE/9MVAsn3fmALRZkO8WNjfLISB1RJ8ihFl7olnZhBBk7uoKZKBJFtXWM+vou1NfnP38+WiAKwSIjg4uR3pvG4efTrq5ERrAxWUJHtxwH/5uvvnosnn9+E559dk7g71PNK6p7aiNFG5D7dLxI4LUhohMZGcQPFG2+SpiLx5MZQc7WKbtRAhC8xgV77k1N3VIxRmf+1ImMNFm/UdcWFlmL9PUZOjt70diYFTj+9rdsmQfdjJagdYq9Tqv33xAKIkbKx6Lus+PtkTpN2zsy0qvsiszf9Y6MzLbblLAue8ZemZY8OtlUfpGRMlsYxc6oxnhLi9y/Y3OI+JxUvoDOGkXVJ0S8DrAR6e5OoK6uM+czs2ZFOy9CBy+babpkFImRlnAcN/LDchwXX3zhf1qylyNrKp1WNBCLFxfnRG2xTqDKwff73WvXthppT5DFX9RoUtd1pac5TpiwOvPfLHRbp9ZTU1NP4HpbpZSmrStGxmLZ2nPf+94z2HvvR5UOblSRVffzURfofg5gUMEQ0E/xC3rteDyJiRNX49ZbJ+HDD5fj6adnSt8X1l7arqPY2hrLER+8Fpy8c8WctbBiqbiQKScxMpmMfoANADzzzKwchyhI5B/rp/x9U93DoGKkjMbGHqmQoWNjTaVpB03RDCKUMzvqhxgZaUo0YqfVigsHr8VtEExERnrZZVuRkXx2g0kboTtW2fu6unoxZ04tgFyfRBeVf5RMOtIxxPpZ1DqrIrLoUn7ce/U3HZ8kSK0tsT+pooDFWupRSwLJ+nGU9G+vOZBtGvFCEo9On9YR4U2ebB2kxmsx60b61TF3HBennvoKXNfF9Okb8dFHKzOv6aczB7M5XhHNfjbHL0176dJskIxqbab7u3iRVvwMEyOjHJIqe4+Xb21DjJTXjNTv2362188MyWpcRyk1ooqMVJWYUPkmsojmdKk1/zYESV8W7bTq3nd19eZtusqiyE3j1c9IjCwTTEWO6RxQ4uXcmKozJjqKhRgIMsTQe5XR93MWTImRQRy0sCnRjGXLmqSL4Rkz0gJkXV1nTn0uv4k9THsq/jf72KjVFISenoS2E8RHjSxe3ICmph6MGbNM+t6oIqvufWFiZNiFlN9vD1NsfuFCvQ2GoOlasVgSV1/9YebfKpsWdnIzuciQITrPXql4vD1gC6Swc0E5R0aaSNMGgOefn5fz7yD9mvVTvl+pIhZ0NzbYNWVOaWNjd6jTujs7e4sSqQ8EE8p13ytutIh1jcMyY0ZajGQLQYapOon+9cr8a0Z63X8vO6AbTSGDT90yaSN07arrpm38jBmbMvcwTMaF12Ztc3P+9ZhdNi1Gyp4tb3dUvmMq5WjNjUECFcTnqerr4v2O6p/JxL2gUdc8Xn2ftVW1ptCxaTq+oMnIyCBiZDEPe9SxB7Nm1eCBB77KiYoE9Md/0Ghsr0j2INHpIo7j5vQhlT3Rncd4gV/sv2wOCpumrXqPV+YF325TfVm23gniE0Q9BkE2toOeY8CjEqtVtmvduvQcIv4OWUSz7ngIMpeLz1E1L3R29uZtgtnKDNBpj99rYSAx0hKmUgd1UpC8JnpTNYREJ8vvFC1biJGRajHSezIwNZCDLP50D1xRIUvRBoDq6vRuoFjQ1u8e1NWFX8QV80R1INhihzmD/CSnOlQh6rjVfcZsIRV2MvdzcNkOa5CFWnW1rhgZbFHS1hbPiXpQLZRKITJy6tT1WLAgt1aSGOnlJYjx9pa1K2z7yluMlHfsoGKkeK9looQKNmfx36m6h7oip3fNyC7lePZ6dibn0qDzfZDNF91+LIr3poRWJkaKRN3kY/hFMPFRzyrxw8sfsFVOh//9JjMWgix4Gxq6MHXq+sy/w0Tme31GNkaYXTadCiu7h7wwoYrsam2Nac/nGzboZUaIdmPTJj0xMuoGgMyORPH5vGwHEwqYkCT6LDrCauEjI/Xn4mIePKfrM9x444S8DXrd8R+0X3itO4JEp4usX9+W4xer5kJdG8nP9eJnsjUjw0dGyu7b3LnpyHL5gSEp6X9HQbaO0F0D6awtwhxgE7Z0GKB+HjIbsnhxA0aPXqK8ltgXdX3XIHZGfK/quTY39+TZdJP1oVV49TPTQSAkRlrClFOoIxh5GQ9TEWziLpOXmLdxYzsuvfQ9zJljvqZB/g5wuFB8U3WmmDHVMcxRF2XM2Re/iznHrF4kw29CDBcZmf7/Yh9gE2TCYm3lf299vfz5Rx23uiJ31DRtv2fLFk9BxMjly/2jsIFohewBdc2ssA5WS0sscLkB+XV68OMfv4BjjnkuJ9VCfFZep4ryDoLrpu1D2F1s0Y8rJzFStaiI6kDplrpIpZxMCpDrZsUe1T3Uva7Xs/eyp14LNlMp2n7fI+K6wUrJ6Drj+ZHE+fYiaBqp47gZMbJS8FpNiZ1+UTn8IRmqfiRLO2N4zS1RFpd8vzM5LwfZOFi9uiVnszRMFJ3XGJSl8G7YYCbiVkS016mUk9M2VZq2Tr1IBttA9iNfjFR9d+4YiLrBIYsO1TkkRkYq5XiOLTZmmBgpmgadvqRTtzDKgYEifSkyEshG7vP+om56edCakV6Rb1EOsBFtRFQxkh/zzK6yvqmbpu01zYkbm6mUg3ffTYtjsg0W3rabEiNlm2C690dnCvdP0zYtRsq/UPye3t4ULrjgnUClU3T9eCbS6ay9xGuq5u+mpu6MZsGu6ziu8jRwU1BkZB/AlBip42h7fZeJQ1OAfEexvl7drldeWYBRo+bikkveM/LdDMdx8wy4ajfdzwGIEgrOE0Ts1Tlp0Qvm7MtOm2Q1X3j8nAS2iAkiWLH3plLRa6JGIZgYme4L/KJNNa6illfQFbmjipF+9iWb7qH/cNeu1RNFoouR8n4Ztj+1t8dx442fRmkSgPQz6e1NoasrgQ8+yEYJiOJKW5v694tOz8qVegKvDFFgLScxUuakNzZ2Y9682kjX1Y24EucrNh5UNlH3ul593zt9X319dtq0iXTTIGKkqhaf1/t1ECOJxWfx739Pxw47/DNvvvKirq4TbW1xVFaGT7H3w2/xnUw6SCRSSCYdpa0KezhalCgDfi4zKbgEadPq1W05YmQY4crrVHTZiexiPzOF2A/E/qtKlQ7i3+mWORIjcFWbqOIYiFKGqLc3JV14BxWdGH4CORszUdK0dTa5zKZp6/dvL9tvm6A+A7+20JkbXNcN/B1e44SJ1ioRi73e3NyTl8HC14sE1L9dPBlbBT/Xq2pGRknTFteyX3213rPkiI3ISHmaduHEc9l8GWWdrMrIEf2i22+flIlCVSFqCLrzYRA7ox8ZGctERvJjY+LENdrfFQav32zSngIkRlrDlBipk5bmZTyiFJ3mUS3uZDDRR+ZARqG7O5W3w6paHDJnQTXhmFrABLm/XlE1Ot+zcGG99DXHSZ/2Ky7u/BbYYQRZ/n6aqgUWBrYA01nAyyIj/U7aCysM6Ka+RxUj/Rz8MGnaqhQwHsdxI0dbq1IcozhYDzzwFWbO1Bc3ZPDj4bPP1mb+O1+MVP9+0bmaN69O8U5/VJGRpmuk2UAm7Hz00YrINYZ0+55o+1hEkSpiQTeSy2ve87K3XpuKpk7SBoIdJhA0ik5ncdrdncizreKYePvtajQ39+Cmm/Q3ENhiYtCgyrwNFi8RKwh+kZFA2qfxWmh6iSKFiIw0eVhGkMXGzJkbc3yqoAta13XR2qoe2+J86bqu50EYUWA1MBnimFdFQAeJjNT1jcW+pvpu0Z+NEjWq2tAIuxnm1xc6OnrhOK4yM0PHx9ZpWyEiI2Vzs1e/tk2UDUy/WsdAepwEndO95lDd07Qvvng0Dj30KXz44fLMa2JkpEo817VNvK+hqhmpaq/OfRfX1G+9tRiA2r/js3VsRkaaznrzyoKQje0wJT4YqshI3qZ9/vla3H//lwC8fWlxw0HXfgSZg3VrRra09EgDXb7+er3k3eZg7ZE9QhIjywRTYqTOwPT6LlO1/UTD6XVd5pSZjpxrb8+/niq1xy8yMswBH/I2pY2pzoQcxchOn77R8zuef35e3kLdL/WQObZBnQlmwHXTem0QNTJSJWJHnYh1Ut/j8WSghYsMv5NtvQphq9CJwm5r06+LpULlqEWxF64L/PSnrxqrvcaXmBAjcLwWR+JrunU4ZYhOXNjIlGIg26EeO3YFgHCR2AzdzR9xfLNIIVXf080g8Jo3vNrmZa+YGBl1XAFAd7d+Hwnqo+iIkbJoNXEuZqUsgqSSMpFv0KCqvNdMlaLRWUTMmVPrOQ69/CKvaKoojj1vt3UEBF2CiDdffZVbzzqRcAKl4nd1JTy/b+PGXHGtvT1utW41v9GaX7dWdaK1/gapblSnaK9UfoP49ygbxar7GnZN4+dTdXX1Yvz4Fcrr+9n8VMrRaptJoT5IZGSUg3+iEjWbwu/zYcaglzjrZ3OYbfv66w1w3XSEG2PJktzISFWf0O3HfL/Lj4xMSydRakby60HHcfHOO+kUbZXZ5A9GMVWvTzY2TUdGem3yyebuKOPF73n09qZw0UWj4bppO+01RYl9W3eO9jvxnUdc86jufVtbTCpGqgKUTEE1I/sApsRIncWX12RvS4zs7U0pnU3mlJnciQSA9vb8e6oS3Pzuv6mI0SCGM4qRZVGPKkeX7arx2ImMrMDWW6cXhMuXF+dEdSCYGMkMKi82qWp7RZ2IdURGE2PSPzKSnfqrPzHq1M2LIqgzVI581M2LxsZuXHjhu6E/z/ePFSuykStiBI6XcCVGRq1cGT46vJwPsBEXfqmUg/Hj02JkENFNfK+uaCj2ZSZmqMVIvTHp1f+9xrW3GGkugyBIHwkeveYvdMmi1XinlY9oC2LD+chIEa86jUHQiYxcuLDe8x579QEvmx3FVxI3wExtWgRZbCxalF4UsYMdXDfYPOc394gHw9mKimTwUVbinK4SU4JsMOqWcxGfpUoIFcdSlEOdTEdG+s3rnZ29+Mtf0lHSMv/WzzbrRoObjYyUf6dsbjO1WRKGqLbAbwwHicRneM3hOqdpd3TEMxsw8+dnM0/EyEiVvdVdm/P9TrxWVZV3e3XGCr8enD59o2+9eb7/mouMzL+OyUPQAPUmgOO40v4VZW2uioxk43XRovrMJqifHyrOSTYiI/lo1/S/5c+1tTUu3WAymVUjw6ufmdZ3SIy0hKndBZ1FUjEiIwF1dBlzykzt0DNkYqTKcPntXJoSI4MshKJ8p6xeBA/bIeGdOd3IyKBss01/AMU7UR3ICt46wgbb0eJ/r8ohijoR60TcmhiTfrt0rCRAkJqROrv9UetFpr9Hfo9NhP2/+ebi0PeXT7FnizvHcfOcxI4O9X0Sx7jugUYyyvsAm9zGz5ixyUg0eljRkNnP7m5539NZVMViSc9nwPq1bMipREzXdY06lEEOSwhj6/w+I4v4ct2sU9vc3JO5RpCFLBvTgwfnu6ymfBydRcTy5U2e7fZ6zevemRQjTZ2yGaRNbFHLHy4UJDrPz1cRhT5b9SIZ/EaraLdUm8pBap3pCvGivVJ/d24bo5QhUo2nsFkjfmuhOXNqM/6rzJ/zG9+649/kekQ1j8go58hIv3qXYcROr+elc5o2P18mEg4+/3wturp683wtlf3S7cd8O1WRkVHStHlf0S9FGwCSyWy7TQmGsg0n02naqueg6gdR5i8mRor3kY1X3Vq9QP6cpLs5p7OpyRD9NdW9b22NSeuJRtl00sE7MpLEyLLAlLHQcdi9JvswO1cyZLvBshMOgazzZjJlCAA6OvIXe2ox0vv+m1rYBxEYoxwm5Le7ypw43pnzc4LCGrKhQ/sBsB+d4EWQAvlsEud/r2mHm6ETXWhGjPRuZxjhJ5Vyfa9rIjJSlWLOJr6oNREXLw6XGs0fypVMOmhu7kF9fVfehOzlgItjXLeGqAzVATYm0nltIzrpY8emaztFfba6ix9RNGdR4KrP66VVeY8pL/HGa+POZLppEL8jjK3zu09sThCfM4ts4+eMVMrVTnf0iow0NZfrLCLWrm3z/D6vNHkvxz5KCqkYNRj1oDxGmMUGf8DQqlWt2p/zG1vivKrqZ6bgBQ9xLlWNVyYImizZI/a1tjb5d4viY5R5WvX7wqbl+dkZv/rfpsTIICKBH8EOsCleZGTUk7z9on3DrC+97Kf/adpuXr3VJ56YLhWZVDZVd47kfQWxD2drRoaPjGSBLK7r4u23q//33+r38+m/pvoUn/rNMJ2mrXqmqvVwFH9I9V3smbN+ojNviOtn05GAQL4dUd372tpOaV+Lx1N50ZUm8fIBKDKyTDAlRuoYBq8Jx1TKjkxkUS36eWfYZJ0zWc1I1S4KG+Tq+htmdn+CTAphTphkhEn18PqM67qhhRImRnqlGrW2xnDOOW/iggvewcMPT8UXX6wL5MD5EezU2HQn4MVIv5P2wqLTH0yID36OdZiakYD/wTomIiNVixNTYzLsYlwcDx9/vFJRA0/edxKJVN5vi3JoVTlHRoqOChMjowqpuosfcTHOFuuqe6hTazHKAl+1SWEyRRsIZr/C2Dq/+ZyNF/E5syh6MXpFrPOlIhsZmV8z0tS8ouNc19R0et4DVf9MJh3P64cVSlzXzdtUDFN+RUYY8amysgJbbZV+RkEyJ/w28cQ5M0rEuQ683RfFSJW/HSRNW9cvFu2VyncQxcgoYoVajAy3+NQVN1Rzg9+90r2XQUrW+F0niO00FakclEQiFVkw8IuwDbO+8xKn/eyg4zh5YuTEiWuk84jrygVJ9uz8ugM/9lSnaauCbXR8tc7O9BidPbtGy1by38XGd9TNGJnPXajISJWNiuLnqtK02e9ctix9zoGOKRCzHk1HAgL5c4lqDeQVODRrVo3ytahQzcg+QNRTeRk6A8Brsje1gJU5i7LdKNd1c5w3k1EfLDKShxl0ET9nIZVyjTgnQVIwojyLMKkeXve+qysRetd0m23SYmRjo9pAvvfeErz9djVefXUBbrjhY/zoR6Ow556PGEuvCtKvmEPCG3SVkWVjKWzX0HE8zYiRemnaQVmwwLsgcphTukVUk5gpMTJsOrA44X/22Rpp9K9q3MiefZTNmLA1I0vhtG1+UVFb22nMYdK9B6JozoQC1ed1bGEUIV61MWS65k+QhUSYCAi/TTFVtDxbQIr2f/ZsvX7BoihkkZGm7IbOwr25uccnMlL+mt+9DptB0tYWz/MRo0Rj8wQVMpjdGTKEZU7oz/XMv1TZrkTCydkwYP3MVpR4bW12LhDnE9X8FWQTrLdX74Afcf5QzSfid0fxMdhnxWcRNnpXxyZ5zVmmDlExlaWVrpev/37djKhYLImxY1cEOgDDCxNrPz+BPUw/896UCR4Z2dDQjZkz0/OI2I9k7dOd93ifQHWadjQxMt02Wb1/Gfy9MVWHVGbLzNeMlN+jQoqR7HcGSdMW21eYyEi5rRSzH3g++2yt0Tbx2MrmkEFipCVMDWjHcX0nUa/vsilGyhZSbW3xHOMT9dRgHlYzkncEVNGGOotLEzuWwSIjw39fmMnHywmKsmBhkZFegpdMEGpo6Mbw4S8YcQqDiDyO4yKVcnJ2ef3C+W22y4QY6XcPw0ZG+p3+bCIyUrXBUmwxUowomju3NrOg5u+jyqbKbEGU1LB8MdJeOoZpeEeFHVxjAn0xMtc2MfsZ5SR33XErW6iqbDGLjDQlIAcRGMPYOr/xr4qsZn8XI9p0T4P0StM2tUjQca67uxOZ6EfZM1OVoPATZMLOibJFSpR6gTxBI0FYv2dipHgCthc6UcfTp2/K/LftmpH8PRR92FRK7pMH9XV1fEfRXsnGbDyezPNlo/gxKjsXto/q2CQvcc/P5utGy5sSI4Nu4uu271//moYzz3wTb71V5/9mDUys/fzsvZctVOG1ptU5TVsUIwFg5Mg5APL7kWyM6Y4N/jnbiYzshetmT9H2g/cHTdUhld1v02Jk0MjIKJGZqjkrmUxv/gQRI0WfzXQkIADEYrnXVH1H9gyA/NdmztyU/0dDeB9gY3YnkMRIS5gc0H47a14dRjVxLlpUH2gnVzYpbdyYHwUhCgGmHGNAfoCNSvzRcRhMFH8NIhJGqxnpP/no7AoyoqRysQNsvJxpdl/ENq1Y0YI///mT0N/NCCLoOY6LpqaeHEfFdeWTZNQUhSA7olEECNdVpx0lk07oNA6/059N1IxUCXSmxMgwbZSlO65a1SqN9FLZ9ijjW4YjdM9yStPmn7GpepGA/ryaL0am/x1FjIyyeaX6LNvQMxXhFWQMhbF1XmOLPylbhPkK4uv8qfVeeKVpm6pNrbNx4Diu5wJd5Xf49duwz1/mw5jaAA67+Np66/QzCuJf6dRanjJlXea/badp889Ytrkls/VBy4OsWNHs+x7RXsnGt+x5RxHoVb6VKu3Vj6g+lZ8vH2WTKAxBy0LobpzPnZsWIWfNMtO3TZwX4OdLhc38UK0d/NO05WKkyn7IbJCuD8G/T1UzUuWD69z77u4Eli5t0hbIeH+Qra+i9mmZeFe4mpGquv3hv18VGek4Lhobu7XmGYZoV8JuznnBb166rqv037zW2kuX6pW6CQNFRvYBTIqRXk5OMul4GnDZxDlt2gYceuhTOPHEF7W+33FcqejGH/igaqtJMbKjI39gRKn9t3Zta6T2OI4bSBSL4pTpGFHR+Hm1TXYyly4sMtLrHjPjKTPIDz00FTNnbgz9/UAwR8t15U6JzMBHnYhNRlj5oepPUaIXdWtGRnGCVMKBKTEyzK5xe3s87/ubmroz94P/vap2mq4NJTq6Juvv2oY940QihY8/XgnAzGJQX4zMHQPs3qnmC53Fe5RNBNWzM52mHURACuOjeI2ttra40rax+UYUkXQj3LwiIwEzGwG6zjWrOyVDdU915pUwgqpsXjNxaj0QXtBikZFBfD/m33jZiLlza/73HrXobQq+P8nupyyzJKgIXF3tv4gU7YbsmcjWB64b3pfx8k/CbIhF9an87BS7Rzp22URppqCRkbr3jNnGlSu7A0UVq5CJdkHx86XCCp6qNa1OZGSQOVMWdCFGo6ngDwYR+2BVVfTIyO7uBN5/f6lWWxis/5o6wEY255muGamaV1UBE1E2Uli0njjMXVe/PjVD9OdtpGnzfTEdvSl/H+tnstc3bIhuK1R4CbAkRlqmtTVmJGLO5ID26mx+E71sIn/sselIpVzMm1envQiTGd3mZpkYWdjISHUNMP/JIKoYGXQBxELFg+K6bqjJx2tCZM50mIU1EyOTSUc5GXs5Ma4L/PSnr0r77qOPfo0jjnjGN8pAVStUxaZN+YsXWd/UdVRU6OyemRIjVc+XLZ622KISFQEfsNehRICZyEhAPpEV41AphsxpTaXkaR2qZ2z61MywB9iUwmnbzC4sXdpkrL4RoL+wFfspS3GPkoIYRfBSLdp0oqOCEGT3nt3LICbCa1PMS1hkJ+aKIpJuuRBWjmXwYLnLajNiW8QrtVzl9+kIv2FEG9lJxKZsNOtLQX0EJkYGaYfOZiuzxS0tMetR4rwfIBMjxU277u5EYHF/+XL/iCjRbsiiE1U+dljfm9lI2TwSRnyKuhbyu6/B6oebECOD3QPdvsrsp+MAL7wwL3C7RFg93igZCX4+TVhfViW2+j2f3t5UID+xvj5/ftG1s/xcqqoZqULHFsRiKbz3XjAxkv12Uz6VaEtc1zUeGanaIFX1rShZDqrISABYtMi7BJWIuBFkJ007axvCrn9Mrzt4vCMjKU3bGq7r4ogjnsGeez6CadM2RLqWychILyff73vE1xsaunIK5upMJipHUVavURSRwp5sK0MmRqrEI53dy6i7j2GMQJAwcUZXVyLUwPdygqJERrIDbAC5IA34T5aNjd245pqxOX/r6Ung1lsnYdasGtxyy0TPzweNQpM9a1mqV9SJ2HH8D0YyFUGner5sQ2DrrftJX/fCbwFjaqErW9SwiS+qmBZmXKo2oGQH+qjTTtTfG2ZBEPYAm1KAOZSmorQYvb16YpsYGckcSdW8oJPqG2UTQfa9nZ29RqJXeILME2F8FK+x5RWt1twcg+u6eTZXdz70OsAGAGpqokcH6O70r1ypFpCjiZHBFyMyu2WqnljYxRcTI4O0Q2deYZvytlO0gbQtYHZe5uOIfT2Mn7t2rX9UsMxuiGNQFZEZ5DRzHi87194evG+F2fTI/bx3PwwikJrY8AwaGanzfsdxc3zUjz5aGbhdIkyMjOJP+flSYbM1VGtaPxsc1EY2NuaPDd15j59LVTUjZfdW9xTztrYYpk5dr9UWsR2mbLzoL3hF54VF9cxUfUtVQksHr88tXpwWI3XtkOhv246MDLtp4zjBamEGYbMRIz///HP8/Oc/x6677oqKigqMHj0653XXdXHbbbdhl112weDBg3HSSSdh+fLlOe9pbm7GBRdcgCFDhmCbbbbBb37zG3R2hhNa4vEUVq5sQSyWxIknvoja2vAOLjMaJgb2pk1ekZHeHVh8fdSouTkdTMeoqRYM6VPlcn+guPg0GUnV2al/8pfO7qXXfdUhjOgRxkEMO/F4TbosEixM/2SRkYD69+js3L300vyc/vPhh8szQp2Xo+66bmBhhkX88ROR7Pmb2ETQPf0xqm1QiV/sd223Xf/A1/TrayYOsAHkTqypyMgwYq8qQksmUDliMUfhe00dRtIXxMgwmy9e6AokYj9NpVwkEt5RFX4LqyibCLL5aNEivcNbghAkdSaM8+s157FoMVn/b22NoampJ8++xmL5PoSMbJp2fs1IIPpcDug71+y7ZM1WbWbp3OswG2FMjOTbYqp2bdjFF6sZGUQk0rETrO/ZPryGUV/fhVTKkfqw4uZmmDqdfqJqMulI7ZWqLrs47myIkSwSNwhR53W/cRFkk8iMGBlsHtZ5f0NDV07bFi4MFsUlg4mRUfCb89gYD+rLqjJwdNK0VcjmHXn2k64YmW2LSowU3wfo+2m1tZ2B7xubR0xFRor303SKNuCfSSS7B2E3fr0iI9nhnLr3XHyOQWtG6sDbtii2adSouQZak49Xm3QiWEePXoJDDnla67uKKkZ2dXXh0EMPxb///W/p6//4xz/w2GOP4amnnsK0adOw5ZZb4pRTTkEslnUOLrjgAixatAiffPIJxowZg88//xxXXHFFqPbwTlxXVwLHHjsydKSUychIr8NG/NrHdybHcfH007NyXtdJSfdyFMVFn+iUmVqMtrTEpEZEdZ917r+s5mUQwkwIYXYwwk48XjuyUSIj+QWh6vfoCKi9vSm8/PL8zL9fe21h5r+9+k1PT9KI8yOLpjExGfv1eVNp2iphkIkCO+wQXIz0GzemNhdkooapNIgw95fZQR0h0XHktadKJU27FBDFSFMCrY5Aoqpx7Bf169dvomwiyMaV7knSQQiS4hTGR/ESurxEos7OuFJ80fFBsgfYyF3WKPMZQ/feec0RUSIjwzwPmThkan4Ju/hikZFBfGcdP9FxXDQ0dGWiEk3ZFBXLljWirS0uHe+i7xAmMtLvEEGVvReFUJVdC1tX06v/hBFdo/pU/pGR+na5GJGROqV/xGfV0dGrXcJCRmtrzPcwQh38NhTCRkbK0qcB/Q2hSsk0IHv+sswM3f7IHxLpJUaKdlLXT2O/NYgdY+0w5WuKfqzpFG2va3r5EmEDcLzESBYZqYs4zu1ERpoRIz/6aIWJ5uTh1SadTeS1a1u1N4qD5/EZ5Kc//Sl++tOfSl9zXRePPPIIbrnlFpxxxhkAgBdffBE777wzRo8ejREjRqC6uhrjx4/HjBkzcMQRRwAA/vWvf+G0007DAw88gF133VV67Xg8jng8OxDa29MTQUtL7qS+enUrzjrrdYwefW7g2mvd3Wkj3a8f0L9/OM03HnfgOEBDQwcSCbmB6+jIDlreUU8kHCSTQDKZynz2o49W5qWF1dS0I5HYybMdjY3piaOyEhg4sBKu6yIWS3fE6uo6fP/738i8t6Ehd5Jpb48p2w6kn7PrApWV3ve3tjbrgA4aVIlEwkUy6eb8Ph42IQwYUJEpNszo7XWQSgHNzV2ebfOjuTkrYKjSxxixWDr8ffXq5sDf2dSUjerz+x4g++x7e5PK72KLN9n98YL1scrKtCizcqX897DFher67Bn8859fYsSIg9HaGsOHHy7LvN7ZGVe2vaUl68QPGlShHJt8P924Mb1QrqqqQCrl/u9Qm8687+jpSY/b/v0rfOvCqL5rw4ZW7LTTYOV7WapTv34V6N8/mF3hv6elpVt6j9asSY/xHXYYoFy8iziOi3g8fV/a27sxeLBcyGTO3cCBFb5j1qvtdXXt2GefoTmvs/opYW0m61OxWG/gMcZqivbrl37uyaSbcWzYuGP3CAC6u2MYMCB3+mxt7cm5BmsP/zf2PLyeC7NtFRXI+R3M8Q9z7wsFu28VFS4SiQSamtJjtaoqeF/nSaVc9PamSyD4PduWlp7MwmTgwIrMM1u/Pjv3MbvB98nGxg7ssMOgzPXF72EOsmzc9vRkHVX++bD7IZun5s2rBRDc1shg9wcAent7tfwV5qPoPBvmi3R1qe0yq8HMX4+1Kx5PYfXqdHpzRUX6HrH7Pnv2Rpx00j6e38+nafNjh82rdXVqH0kXFuGimlPYuGTw/YC9lkrJ/ZGurmyxfn4O5/tfR0cPEoktA7W5ri7t6Pfvn+7LyWTa94l6LwAgHk9fI8jYHTy4MiNGOo6r3Re95hX+Hn322erM/MZsqmnYWF66tBE777xF5u+DB1dyPnmu78ieA/ORvWB9pbVVPn8z2tqy65FBgyo4X6YViUR2bcN87qqq9LzJxsSmTW3K66tsHJAda7xdYvekqSnfZ/IjiJ3hYbZTNaYYfv4UP2/39MSRSAwI0vw82JrL71kzPzyRUPvhjDVr0raxXz9g6ND+aGpKYNSo2fjDH44J1cYZM9Lpv7prBpGsL+VtS2R9xQs2fmS+N5Ber8qux/tjQHq9OHCg+vvY97S19Uh8fPXaEMjtLx0dPRg8uH9GlBk0KO3D8Z/r6Ymjqirbtra2rAAq8/PE3zJggLc/x9u/9vZuJBJbZHzNsL4g7y/w90elJwSFb3NPj9wfZ2tE9qz5z9TWtmHXXYPNhYlEIiMMy665aVPaTvrdM9b34/Hcvs/WhlVVFRgwIP/z/D0FvNd3zEb39ma/o7Mz/96LfUX0TdjrS5c2GpnzRdghTvxYUfUdGX4HovIUVYz0YvXq1aitrcVJJ52U+dvQoUNx1FFHYerUqRgxYgSmTp2KbbbZJiNEAsBJJ52EyspKTJs2DWeddZb02vfddx/uvPPOvL9PmvQlAGD77fvjmmt2x913r8K4cStx662v4dhjtwnU/hUr1gEARozYBeecs3OgzzLuuWcVZsxox1ZbtWHs2LHS96xalXZYttuuP0aO/Fbm76+9VoM33qjDvvtWZj57772rAACnn74DJk5sRne3gw0b5mPs2GX5F+b4/PP0RHnIIVvjjjv2BQD8+tcL0NmZwuzZ09DYmI1uW7BgTc5nd9ihQ9n2lpYErr12CY4+ehtcc83unm1YvDhtSIYNG4AnnzwY48Y14umnN2DffftLr9/cnBYX7rprPxx4YK5Re+aZDRg7thE77hhXtk2HL75IO8UHH7wl7rnnm57v/cMflmLlyh50dq7B2LHBdixnz07/lr32GoyHHz7A9/3//W8tXnmlFvvuW6X8fWvWpHeJZPdHh/322wLLlnWju3stxo7NNzgNDek233///th773xhbtGiTvz1ryuwYkUT3nnnA3z5ZWvOjuU3vuEq215Xl3aABg6sxOuvH6JsYzzu4Lzz0n1z5cr06d2XX74bJk9uQXV1Fyora/O+o64uHen5xz/uhaOOyhXLvHBdF2efPQ+OAyxePB21teqoxJUr12facsopO2h/B+Pcc+eht9fFxo3zMXZsfgHsGTNWAwB23LE/Ro78ttY1u7pSuOCCBQCAcePGS9Mh0xFn6QnzyScPDpwGzt+jlStno6VlQc7rK1ak78u55w7DuecOC3RtAPjPfzZgzJhG7LGHE3hcz5yZ/u6zztoJv/rVLpg3rwO3356u28TG98aNMVxzzRJssUUlPv3047xrzJu3CQBw2mk74JJLdsPIkRvx/vvpcXbccdvid7/bI/Ner+fCxu+3vjUg53ewQ5v+9a+DsNNO0RZUtpgypQUPPrgW++03GGPHjsX06WnB7cQTt8NVV3nbeC8WLOjArbeuxLBhA3yfbW1t+j4NGFCBl1/+Dn75y7QN+OKL9Pw+aFDWbiQSTub1+fOnYtWqrEv0ySef5Fx3+fK1AIBLL90Vp522Y85rl166CM3NacfskUcOxC67DASQvR977TUwr92TJ6d3s/+//+8bOOmk7XVug5IVK7rxxz8uw3bb9ce4ceO0PjN/fvrZDB++Ha6+2vvZ3HXXSsye3YHttlPP5/PmrQEA/O53e+D447cFACxc2IlbblmBHXboh48+mgoAOPLIIbj55n1w+eWL0NCQwIIFs9Dbu8Tz++vrWwEAgwdX5YydG25YilWreuC6GyPN5UA2UuWppw7GNtvk27ZJk5rx6KPrMv/m+8H779dj5MhN+OY35f1z2rT0HLn//lvg/vv3z/y9pyeF889P28HFi7/GypXBFoCrVtUBAP76131QXd2JN96ow157IfK9AID589ORu8ceuw1uuGFP7c/V1GTnZ92+2NiYFvMeeugA7LbboLzXr712Cdati2H+/DmYPj3tP40YMQxnnx3Ot/bit7+txoYNcdTXL8WYMemyUDvu2B/PPvstPPDAGnzxRSuGDGnPuceff54+qfX73x+KG2/c2/P6rB/tsEOF53NidozZq0suWYiWliRqaxdj7Ng1mffNm5e2S7/+9a4488ydcNttKzB/fieqqup9+4Fo4wBg/fp0n/rDH/bE0UdvAwCZ725tXYaxY4PV058/P329447bFtdeu4fPu7N89FEjnnxyA/bd19vmM7v8f/+3C844Iz+worU1gYsvXoSKCmDOnM8xd240AXvqVOb3b4W7795P+T7ZGkzFRx+l/YQjjxyKfv0qMGVKK+bOXRx4rcAYPTo9do86yr8/ymC+i58vtWpVui9cfvk38JOf+M9hd9+9CjNntmOrrVql162pSfeVq6/eHSecsF3m759/3oKHHlqb+ff11++JH/xgG+X3/P3vq/H1123S+aqhIX1Pb7llHxxyyNaSNsRx1VXVGDSoEpMmfQLHcTMi19NPfwtDh/bDxo1pP3jLLavw+eef5nx+zZq0UDh0aD+88EK+nzdxYjMeeyw9j+y4Y38888zBnhs2sVgKI0bkzhGsji3vawRhyZIu3Hjjcuy0U+7YYjZn4MBKvPaaem3lRyqV9vUBYNOmuRg7dmHee5i/f8UV38DJJ28P13Xxi1/Mg+sC1dUzPNdQKphwd8klu+G009Jrq/PPn5/ZTOnXrwKvvnqIZwAO0wf22iu378+aldZBvvOdrTI6CA+/ZgCAX/1qGH7xC/n8xOazLbbI2uh169L9ZsiQKrz44ncAADNntuHuu9Prua22qsLLL38n5zoNDb24/PLFiMWSePvtDzB4sLyMTVja2tK6y9/+th8OOGDLnDbtuWe+TysyY8Ya7e+qcMMc72uBiooKvPvuuzjzzDMBAF999RV+8IMfYNOmTdhll10y7zv33HSU4htvvIF7770XL7zwApYuzV2Q77TTTrjzzjtx1VVXSb9LFhm5++674+23Z+Lss8dkdpOYQn7QQdtj3rz/L9DvufDC9/D664siRT2w7z/22N0wefJF0vdMm7YRP/rRC3k7YGz3dZddtsTatddh/fp2fPOb/4bjuDnRIvfffwKuv9579+3xx2fghhs+yVH6mbL/5z8fg7vvPiHz3tNPfx0ff7wq8+8f/vAbmDjxQul1x4xZjl/84r8AgMWLr8R++20nfR8AvPPOYowYMTrTBrYjsOWW/dDS8ue89++xx6Oore2S7oKwHcu99hqKZcuu8fztXowcORdXXjlWK8KN7dSdeeb+ePPNcwJ9z5tvLsavfz1aa9cdyO6W7LDDYGzadH3e667rYptt/omenmTgnbXBgysxcuS38ctfzkMi4eJnP9sP7757bt77hgy5H7FYSnn99Klt6Ui83//++1i4sAGffroaFRXp9IgddxyMjRvz2w6kDxX53vf+k2mPCn5XbPfdh2D9+nYMGJDuO44D/Pzn38Tbb/8y5zNHHvkc5s2rCxwxCmSjB5566qe49NLvKt936qmvYuLENaFtA/uexx8/BVdc8b28148+eiRmz67FzTfvjaeeWp8TtaWCv1evvHIGfvnLb+W9p7U1hp12egiAd0SqTttHjjwdv/51rrNz2WVj8OKL80NFjALZcb3vvtuguvrqQJ8977y38e67S6U7qrK/rVp1Db7xjVyx+pprxuHZZ+dk2s9HUrG/sfFz6aULlc+FfW7YsC2xbt11ANJC8KBB9wEIf+8LAds1HTCgEp2dN+KPf/wEjz02I1KGAJCNVqioALq7b0RVlfpas2fX4OijRwFI2wd2n//2t+Nx662fZf7OYK+/+eYvcOaZByKRSOCTTz7BySefjP79sw4xm9tk45bNh0Du82H3o3//SnR13Zjzmd12ewQNDd1GIl35aI7Gxj9gyBD/Bcptt03G3//+VaD56yc/2QtjxvxK+p6DDnoSK1e25NhOvl1/+MNRePDBaZn7x6558cWH4JlnTvf8fnavHnnkANx118rMM2PXGDHiYLz44pm+v1mFzvgSIx/4fsDm3KFDB6Ch4Y95n2VzuBhVwduUjz/+FX78470Ctfsb33gU9fVpPyeVSrdjxx23wMaNvw90HRkPPDAVN988KZA9Hjy4Eo89diB+/ev04nPevMtx0EE7en7GcVwMHnwfXFd979lzPuWUfRCPpzB58lojEcUy2Hf9+tffwrnnfhv/7/+9kbcmOPzwnfH117/JfObee7/AHXd8rtUm1o/69atAd/dNyveJfg6zMTfeeCzuuuvHmff9/Oev46OPsnaJtXH48D0xfvwF0murbBwAHH74s1i4sCFnHLPvvvXWH+LWW4/z/H0if/vbFPztb1MCz+tsTG2xRT+0tub7+Iyzz34LH3ywTHnv+TE2d+7lOPhg7/7oxwsvzMPll3/o+3vYPL7zzltg/frfe17zppsm4sEHv8bgwZW4+OJd8eSTGzB06EA0NPwhVBujrj9110innPIKJk3SH4usb/7oR7tjwoT/y3v9pz99FRMm5PvGou3VjW6TrZ0PPvhJrFjRovTx+f6ybNlV2HnnrTB06D8BpO3TFltU4d57v4krr6wGAKxffy123nmrzOenT9+IH/4wf00u+y06941vz0cf/QrHHbcHBg/+e6Y9YXxB3p/q6PhzJsunuroRhx76DABzkZHvvfdL/PSn+cE6J574EqZMWS+NwJatD/xIJBI4/vinMXNmu/SagF6kMC07iUQAAGynSURBVOv7BxywHRYsuDLz9+efn4crrlCP+zCRkVdf/T088sgpAIA5c2px1FEjAWTvPX9NVdvZtW6//Uf4619/5PnbgrLXXo9h06bOnPHG2lRVVYGeHvX8BQDDh7+EL75YDuDvaGtrw5AhQ5TvLdnISJsMHDgQAwfmO+s9PdnTXPkOvHFjZ96E7Qc79TORyA2zDUNra6/y+1kaoNhmRiyWQv/+/fHiiwsyNZHY4gAAGhvjvr+toyPxv+/KTVMCgNWr23I+39ycW+uhvT2hvH53d7Zewj33fImXX/6Fsg2trdnaJPzv7O11pNdn9R7Sv1V+/9vb/X+7F+w0cdl9UVFX1x34O7u6soch6QhLDPbsRTo64lr3xwvWl+rquvK+o7c3lamTo3P9UaPmZQplswV9V1dSeZ94g697P1haOv/ZpqaevO9g0Znp94Ubt3V1+dflYXV4otqGzk75PWL1h3bccQB6epxAfQYAli1rkV6XPxgs7WiEb3tLS/7YY2MoXX4h/LW9+o6Khob0rqTsmcj+1t6e/x1snMraL/5N57mkUm7mO/jaTFHvfSFgbW9vT/f1dMmQ6DV30ictVmDQIPXz7ejIziv8PV63rkP6d0ZTU26f7N+/f86/mb33G7ey55NI5M5TdXWdmXp/YW2wikQCWv2f/YYg401lc4Bs2pXKdq5c2Zb5Xv7+rVrV5tve7AE2ldKx09wcizSX8/VqdceXrB+o/BHmpzmOi54e+bW7u+XztQrHcTO1CnmfrqcnuP2T4brZxUcQe7zlltnojDVrOnDIIfJySYzW1mw9cL97n66Dl02Nj+pbe7FpUxfa2+V+pzh/tbbGA7cpmXRRWVml3Fjhr8N/d2Njj9TnFr+7qcl/TIg2Dsj6J7Jx3NamXouoiDqvi7ZThPmyOvc+FvO+lg7Mh9QdFyo/nIelkCYSLr71rbSw1dYWR2dnEttuqy75o2Lu3LrM9aKMka4u9foNyK7hgn6PzP8D0qWfdK6nO2e2t+f31yA+fktLAjvuyJcFcVFR4eQIiI5TmfMdrH/orNeC3rfu7lTONaP6gq4LpFLZ9jsOn35upkaiyh9huoLsHjQ2hpvPWQSr133V/V3d3bnzaND5UMfexeMp7Xvv15/GjVuJO+4Y7tuuIDAdSzbe+PWJCrG+sRdFPcDGi2HD0ml6dXV1OX+vq6vLvDZs2DDU1+cWgU8mk2hubs68Jwis/oW40RCmILjJA2y8Cr36fQ9bAL7/fn46J6B3IAVbZMhiaDduzC28LBby9jpJji/CO2aMd6q46sRAVdF5nfvPi6FhCFNEOEwB8LCHAKkW/yaK/bPnIPs9QYsPt7XF856j12EmYcajrBg/v9BgmCjg3NjoXZje1AEDskM6enoSGZFjxx3DOd1iXVmGqcNrgOzijcfUadphbK/OIRo8soMjzB9gkx0T5XR4DZCdK0yfpg34F81XHewkzlUismL3PFHHLX/q5oIF5g+vYbAabX6EsXVehzf4nbyqOrDHr8B5KuVkvleVhhT1dFHdgxPCXkfHJgU9rb2lpUf6fabsaNgDxfhIHVZH1AvVeJVRU9Ppewq1Kerru5U2QfTJw/h1gPwQPYbK5ovfpTrAJqzt9bJzYQ6WiOpT+Y3NIHbZxDwa9DRtnU041qcrKoDddssGyrzwwrxgjUP6fixd2hj4czL8Dw8Kdz9Va1rTh4TI2hfkAKKlSxultpsXI8X+bdNX6+iIG/cz+fab1C0YqoPQvHSNsPY0ShCDiDiPmjpgM/c7+MAq7+v7BcAuXBjsgB4d/H6zV2K147h9Q4zce++9MWzYMEyYMCHzt/b2dkybNg3HHJNOKz7mmGPQ2tqKWbOyJ0RPnDgRjuPgqKOOCvydKmfQcdzAE7vJQe012fpNFsmkg4aGLsyZUyt9nRXC9cLrt4snUotGxMsw80a1rS2O6dM3Zv49ZcpafPOb/8Lrry+QXpchEyPTIej+hiOqcWHtD1LoQOd+i4Q9WUw1sfud4qgDW3DI+kbYhSFvbL2cElNinmwyDHpSogy/idRm+/lTGfkIlSCsWydf7AVZNPoh69PFXEQHPbmS1ezh8XKuwuBwQ6D8xMi0UbQhRvqNHyaai86bn93z699Rny+/MFqwIL3JaiPbXtf+hvFRVJ+Jx5O+41e1yeG3ecP3fVWKVdQFGi8U27iOjiAT9GRa1QaKqd/CFpFhCjmxfq1zonMQG9HVlbCyYJbR3NyjFCPFjeywi+fFi9WikUroEe2U6iTvoOI2w8u+hrlm1NO0/SqJBRk3ZsTIYP1PR2DjT4ivqKhA1f9ct/fe866lK2Pu3NpQY1aGny8V1pdV9W1Tm0IM2fMOYj8mT14jtd28GCmK0zZ9tc7O3sgbbyL8+LRxmrbKL/D6Hczuzpy5Cd/61hMYN2651nf5RZkGGRf5YqT507TZATGA/733a3t3dyLwOsYPP5/Oy7Y1NnYHWtMVVYzs7OzE3LlzMXfuXADpQ2vmzp2LdevWoaKiAr///e9x99134/3338eCBQtw4YUXYtddd83UlTzooINw6qmn4vLLL8f06dPx5Zdf4re//S1GjBihPEnbC6+JdsaMjcrXZJh0mLyu5fc9qZSLTz9dpXxdx7B5RUTxjlAikcpbFHhN3OJ7//a3z/73mQQuvvg9rFjRjP/7v9FobY1ldn/FAem6+YKkrkFNpVxlZKUOYRZAYSZv9oyCOhiq32YiMpIhm3jDiqf873NdtSPEnM+oC3mZQ2RiMvaLsAq7SBBhaaM87PQy5tSGoaFBvsg1GRkpGzvmxMhgTkM8ngzs4InlKABzz5VRzpGRDBtipN/4UomKqggihixalyfq8+VtP4sStFGxW/eehxEJVP6Gzlyomo/85kT+ddkplkBwIU/E1CJYJZzo+INBo4zUYqSZ3xIlSolNPX5Rr0D0qFZbtLfHM7ZGfKziXOVnW1R4RbCpbD4/1np7U9IMD6/Pe8FHIcsIJ0ZG86lc11uQLFZkpK7t9huP6QiirBgJIFOfjaVbB2H27JrAn1HhZwPCipGq6FIdmxPErZXZ3SB+5pw5tb6RkWKfYv+2sdGYFiPN+lSxWLb9UTcOZKjGv9fmLvuNzzwzC4sXN+DXv35X67tMlu0Q15+mo3aBYJGROowcOTfyNXj81lJerwfNYCiqGDlz5kx897vfxXe/mz7s4YYbbsB3v/td3HbbbQCAP//5z/jd736HK664AkceeSQ6Ozsxfvx4DBqUPW3vlVdewYEHHogTTzwRp512Gn74wx/imWeeCdUedlqpjGKKkV6dlA10leFzHDdzoIzsPTrRHl6LG96BlokVvPIvIi5gJkxYDQC4774vMlEUyaSDSy4Zndl5lv0G8V4H2blUiSI6C7owTnQYYx/WWVct/tjuSZTJkn1W1jdNLS5U1zEVWShziEyMWz9nIerCmSG7D0yMjHIghkxoA7IijwknS2Z3TImRQSODgqZoA/IIZ9PpMzzlJkbaTNP2E8VVr7O2qPqv37iNand4kdRmmrbuPTcZGRml7yeTrufY5++7aoMlbLpgtg1mFhqO4jJ6YmSw/iUrFcEwYUtNpKWpNrZ4bNgIE8RiSWXEYzLp5AhkquhEP9I1MOWoRA1eEPT63jDPz2+eCeO7mBA4vMZP4cXIYHbTL+Chvr4rs6jPipHp/29tjeWIRez9J5zwAkaOnCO9nkkx0k9IDevLquyTqahuhtj3HMd7rhFZtapF2n/5g29UYqQNursTxjdv+KCGQkVGxuNJT7vAfuPMmZsApDegVZkVPCajF8WUbztp2inpf4dlzBh5Ob4wOI7r6xd5tbmsxMgf//jHcF0373/PP/88gLTjedddd6G2thaxWAyffvop9t9//5xrbLfddnj11VfR0dGBtrY2jBw5EltttZXk2/xhg1K246Wqd6TCpBiZSrmhd9wdx8HHH6ePm5ddQhZdJeLlLPb2pjKTrcwx8jIO4o5uT08STzwxA3//+xc5f3/vvaWork7vIMvWIqLxD1LTha/Z47ou3nhjIfba6xHstttDviHPYSaFVMoNPOFG2QmTfZfJmpGum3//Te3cqUQiU2KkzJCamBBUkQpAekIztfsoqw2XFSPDX1clLJiMjJTZHVNiZNBo53BipCwy0nTNyOx/l5sYCaTtqcnUfoZuZKQ43/kJVl7PL5l0Is/pLHrKcVwsWmS+vg/DZpq2ynZFjRpdvrxJ+ZrOtaM+G5OLYJn9YffNK5oq6BhndivsJrMfJiIjdSIGmb8QZJPLRtSRSDLpeKZf86JU2DTt9evblK+p+gPv/3h9b5jMHz/fKozob2Je9xIAS71mpN8z4PsA22zh+/e0abmBMO+8U43Jk9fgN795H5Mnr8m7nkkx0qvt6cO4wtldlW3RieoOkk0gfk9Qsa29PS7tM7lp2oWrGdnZ2Zvxz03ZQH6uKFTNSL85vb09jlgsmbNp+89/fqnxXeYiI0WfwEZkJC9wMh8hynM1ucmtI756vYevg6tDydaMLAZeu/srVvir8jymdxhURt9P2HAc71QZnZ0tv53rlSubAcgdI68BLLvf1147Ls94uS6wenWr8jr5YqT+vWcF1pcta8JPfvIyRox4GzU1nejuTuCZZ2Z5ftZvUawi6C56lJ0w2b1gtdOipAjyBkY8GIK1N+pkuWmTfGclbBSM2B6xbyaTjpEUN6+J1pSQCsidHubYRnm2KttlUliS3QdTO4+y0g1ehBMj88ckHWCTSzLpWIkW9au7qxLN/ZxJE+PWy+YxYWbVqharz7O93V6atmqMRn3Os2apF9Ds3nvd26iCh8laZTL7qSMOmqoZCZjJTogSZcKela0Mk0LhdY/ZeE4mndDRnewUZRmq/sDbDj+xN+jGsJ+dCyM+mdh8VQmAQQWxYkRGAt6bHbIIIj4CfOrU9Tmv8Rs3Z5zxek4/6elJYPFisxtdKtsaVJTlUZVhMi34iPc9aF90XWDevPzzFvjnU8jIyJ6epPE0bX5uMiGIicies9982NnZi3nzanP6w5gx/nUjTR5gI/oEUWooq+DvjYlNm46O3tBR+iI6879OZCSJkSHwGiBBQ05N7zDIDkww8T06htNv8ff552sByMU5LydftoDxWxTIOra4+ApyT9avb8fzz8/FIYc8mVdb0y8sPKw4oxNuzhNl8pE9X5M1I4G0kMtjarJUncTFHOaok4Lr5jo/pjYQvMaUbTGSHT4TxZlIpeTh+UzkMTEZy9puKjJSdX0VTJwPcs/EuSKZ9K61FQb+PkdNQy0GLS09Vmoi+okXYSN4ve6x7rj1+r3MSWSH19jCKzKbJ4zvoHJQdcVI1RjzyjzRESOjLmJNRkbK7qtfPVIguMjBUqBlfa6+PjvHL1nSmCdo6BBlc4gt1nWExjBCng27IsPrNHCWhRBlk87r8CbVHMYLKn5ipJfYKcNfjAw+D5nwq1S2OajwE0VAy17DXHkLIPfwGhli3cjly5sz/93eHsc557yZ+ff8+XXGD4FRieJRfVnZuDedpu26udcMM+d98on6zAVAHRlpw0bZSNPmx1ah0rT9/IXu7kQmRZuxYUO77+e8BLSgayIxG7UcakYCwEsvzTNyHZ326NSM1D27gMRIDq+U5aBRcKYXpjU1cqdC13io+oN/mrfra/xmzEgbDbbY8otAY6gMi1e9O9nvEGvcBXE4HntsOi655D3pjpnqnjPCOqFBo2yj1FSSORImT9MG8usemZosVaJp2Do1MueAF05NpU979T+TYqTMxvAH2ERBFhFiMk3bthgZpI+EiYwUo+hMPtcs+ZGRhUhPNEXY1EU//DY7/OyyapHgtbA1kfbKfAiWSmPrWXrVvuYJs/BQLRajpo55pWnriJHiojMoJhfwMrusM4cH9Rnr69VCVF1d9rWTT34JP/zhqMCboCaiTHTEIjaeCyUwBsHLhrG5Noqd85pTVaIGLxKrfG7G6tXN8hcU+M1jJks7BEEVEBHUFzQRJBJG0PQa236BLqJt5MVIABg/fiUee2wa3nmnGv/851eB2+aHSgiOukEq87tMC6lArq8W5vnPmeOd9l7I07R7ehLG7SU/5m0cYCMTrHTESKYr8PzrX9N8vkt9U4LeL/HgLBs1I/l7Y0oInjJlnZHr6KzHvM4EYcFEFBkZAq+JOB5PBUr9Mx0ZyRwf1ff4DTTV637Gp6Mj7nttlhagcspUDoNqgae6z0OH9pP+XVx8BnHqWUSGbMB47TrriLQqgi4KooiRsjaajoxcvVoUI81MluqakeYme/47TI1Z3cMYoiJOXq7rGhMjlyzJP+XTZJq2bIyaFCODROey2rBB+qv4HE3XiwRyD8MoxzTtsCfM+tHW5j2GwormshqsDBPjltlxmydpA0BHh15fCWPvVItF3chI1W9W+TcAL0Z6G7UodStNRuTIxAoT6coffrgMO+30Tzz99EwA3psoLGqyoyOODRva4TguXnwxWMREtMjI9P/r2PRSTtP2golIUdLivOyKSuzha8j72ViWKWGiPUA4scLEItvUYYYmgkTCXMNLwGSRkSrbuGFDNkMolXKk64frrhuPs89+E2+/XQ3A7EaXyu+LehCjTIS1EX3GZ86F6Yt+Y0icR+2naduLjLRTMzJ4ZGRPTzIvMhIAXnttoc93mXWqeHtno2/y1zS1/vELotJFpz1efZ3StCPgN0C8Tr4TMR3urEpZjbqT4TfAdJzotWvZDrHcMVLd1yB1pgYOrMC99+4nXZCIbQxqUCsr5Y6AVzRsW1ss9GKSOR86uK4baZEl/gbXdX0P5gmKqmZkVFSnhZoU9HiHyNSY9RpTJtsei+WO/cbG7kzfj+qMyiKVTEZGiidEAmbFyCDRKl4RRipER9zOSdrlXTMybE1dP/yE37CiudciM+oBLUA2VdfmSdqAvo0J4zuoDtKL2v+9ovV1hf4omyUmI3JkfUXHj2K1t1W88cYiNDR048orP8TYscs8T6pmvhjvN1ZXB6slZ6JmpM6BfaV6mrYf7PDDKJGRXnOel81n8zz7brWQpRb5ZfjZjjACtYloK5VPGTQ6z4TYEuYaXvOHX2Qkb9fWrWvz7DP8wZKmUAeZRPNJZGta02naQPSAA+bPq3zq/DRt84Je9rsSxn1N3pctdJq2V8YmO7SWp7q6UdlHXNc1WjMSyN1EMHlSd/aa+QfYRMVUEICeGCnvL67rkhgZBb8Fh27dHVMHYfCootl0jKtXZzDhKDKnmC0+xYlQJWIEEa0qKyuw226DtNoY/LQ7+d+92hdloc2f4O1HZ2dv4BMRecT0lra2uPFQ/Jqa3EWRKTFSdY+j7sjy8A6RqV1Br5RBm5GRfHSRbp0OFbLdd5ORkbI+aLJfekWrdHX15tjTMOK8uFA0IVaJlPtp2rbESK8x5DhuaHHDq/+ZiHxlJ0R6pSSbwCvCkyeMvVMdDsUWF2EXwV59RSdNG1Bv2OpgchEsm/90+qTfJiV/MMVZZ73pGU3KBARe6Aiepm3mnvj99nKNjGQCul+qtBeuqx6vXjaf3VO/hadOlExzc09m/PmNtTB9woTAoTqUK6g/ZaItYdK0verue52oDqRFECYMiCnaIjai7VV9LKofLlsH2Yg+4zebTUb+sTFSyMjIeDxl3F7y7bWRpi17pn7+ciyWlPoZjuPi9dfl0ZE2xEJeaLaRpm0jMtJU0IjO71X19dbWWODSUiRGcvgtOPxqRzBs7C6odsF1vstrgvI7eVa31pHjuModNHltEMeY0RZ3ipgBiRod5rWoizLgg9SoizrxiM/PdFQkkO+smDrARiV+mRT0eFHK5ETsl1ZkIo1GbK/X4jQosmuZjGCRTXQmIyPFOrI8P/vZq9hnn0cxf366MHyYmpHibriNNG2ZGFmKddVUMBtpujai1yKovd2/rIgKr7nUxLidO7cWP/rRKCt1sXh059WwCzPZYjxqtIZXW3QPLAuyySdiNjIy/17obOR4bTw6jpsTKdLbm/KMTGLfx2ctBD3MxESaNuAvtpg+HbZQML8nam1clcDkNY6ZEOonRvrNbb29KXzrW09gn30exdq1rb6+VZhxYsKvUh3KFbxmpImTvYPbTdUBVqmUo7WJMndu+kRntpFVyNrRqsNTo/rhsmh4G2Ikv+axkYYs+g02xchYzPxp2rlipF7ZtyCESdP24plnZkn/bkN34TWAQqVpR733ptbHOusx1cYMvwlKB9iEwM+IyMKGZdgweKqUVRMTvVfn1RUglixpUDplMiHVZCRRvhhpZjLgT7oSiRIlFiRiKOrEIzpBputFpr8jP/rSBCoH1KQYyTvrJicz1QLMZNvFSd5UvUggP6LCdcNHnMmQTewmxUiv8TlrVg16epK49NL3AJgRIylNOx9b6Zc6IkwYvJxNE/NVdXVjpg6S1yFtUVH1lU8/XYWTT34pEyEX1k+RXT9q/3dddXuyNtPbS49SK8lkZKQoRqZSjnb/YaKDyLp1bYFsABt7vNARNFLZVKSJX3mjck3TZrYmSs1IAFi8WL6u8LJzmzaxepXez9RPrKyr60JtbSfa2uI48cQXfccxL5a3tsaUZRt4TPhVqs2+comMVPnx9fVdWiLHl1+mD6Xwi4y0QUuLd4p8WH9TthaxsVHHjwEbkX+FjIzs7TUfGcn7snZqRgY/wIYh61vTp+fXkgTsPFt+/Wwj8pIf+6bWn6bWUTrXUfUXv9ITMkiMDMData1a77MxoFWOpInv8hK8dKNbvvhindIpk/3d5OJddPRN3X/HcZUDMkpkZBDnO+rEIzpxJk7Szv+O3PtvaudO5YBGrVXDw4v8JsetKiXOpBgpOrEmIyPFDYSOjl6jjqLsWibTIFSiVCKRyjyDWbNqsG5dWygxUnQc2BgwGbFQ7mnatkQGr3sRxS6nUybl1zY1bln/iFJ6ww9V5M6//z0Dn366CiNGvAUgvPMri0YyMZ+rsj+yB5Z5Dy6vGop+mLRt4r0Icm8+/niF9O9B6z0yv4FfFMRiSS3xiBElEoSPhvDzm0s9MlJl09k9ZoJv2IgWVdkGLzu3aVP6O/3ERj8bzNvLlStb8K9/TQfg/Vt6e1N49dUF2G67+3HbbZM8rw+YEQlUYn5QQcxEW8LMxSoboFs/fs4cFhmZFiMLmSGhSjGPOm5lWVo2akbyY8ROZGRun7Kdpm1647sYadq6ZV1kr8diSemcYkeMzPb9cjnAxnFcI/1cLzLSW4wMsh4iMTIAtbV6zq4Ng6cSpUwMQC+HRndBOXNmjVIwlaVMmjSonZ3yNG0TqIQKJnaEER+CiGlRJ3zxPrPdSJOiidjfTT1b1X0Sn3cU+BQUk5MZO9RJxKQYKS6g2al/JhxVccyarBcJyBf/JiMjVWlRoj37zW/eM5J6ZjtN26QAXyhYnzG9cPKaX6MKoPX18ug6U8+3EItI1f1hAsasWTVIJlOh7Z3MFzFh81evlm/gsHvvN2epskd0MBsZKW7O6d+br7/eKP07qxepO2+zNogpoKwP6GBqc8gvSqJca0a2t8dRX9+Ft95aHOk6qn5vIk3b796KQpPOZnVLSw9uumkCXBd45JFpvu83EfGj8puC+lMmfIww6wuVfdSNIFq2LC1Yr1hR+MhI1Rokir1Vfd6G4MML7jbW5oWOjDS9ycu330aqsyyiMKo/NWtWfsk8G23n7aftyEiT6x/xUNkwmErT1oXEyADwA6i+vguffbZG+j4bBk81eE18l5cDomv4qqvVadoyIcOkGCku1E2laQPqEy6jHM4QxOiw+x9WPBQXRjZqRoonZpqKdFA9x2ykTHRsOSp+adomRAnHsRcZKdobkydpM/g+k0o5RoUalX0Rf8eECatDXV9cqNtJ085SjpGRUWupqfBaDEYVzVetapX+3eS4tY3KjrGNKMdx8fTTs0JHZ8rmPjNiZLQNnChzssnISDFyNMjiUVUKiD+8JkgbxEXJ9Om5YudXX61XRuaZEga80udjsaSViJZC0N2dwIMPfhV581tVM9CrHmJ9fRfa2mK+485vE8urtrKKl16an/E1Ojt70dvr/ftNPF/VvQhaM9KvrTqEO01bFRmpV1pn/fo2JJNO4EOoTKAql8Qi0cPOiTKf0kaaNu8TMMEq7GFTPOwa4nrOthhpeuObt182bLE8TTtaUMaSJfnzpI228/bVdmSkyfbrlhT0Qkd89UvTDmIbSIwMQCrlorMzjlTKwYknvogf//gFfPjhsrz32REj5YPXxG6Al0DFHGm/TrVqVYvyd8uccbtipLn7r9qJZBNpmInYcVztqIOoUQPiQo4tSE0vqtl1E4kUurvt1b5wXdfoadp8PzS5s6ZagJmMjBRPgfc7KCAI4lg2HRkJ5I5bk7uCgNr5F39H2HEgOs3MPpscV3xKZTmKkbZO0/aaX6MemqOOzjN/WrotZE6t67o5NbqeekpeBF4HW/P5unWt0r/rHh7kdWKtHyYjI0UbH0SMVEUUsLqCuvaF2VbxevwhjGvXtuK440bh2GNHStO3TUWCeJXBKPUUbUB9z3t6Evj3v2dEvr6qjreXkNjU1IPbb5/se20/nybMZvfDD3+d8+9Jk9Z4vt/E3K66F0HtctS2pFJOqGuo2qkbQdTU1IO1a1utCCJ+qHwp/pRqU9e1kabNr6EKcYCNyfWJSE9PwrhgG49nx5aN+5NM5o8XnTq7XjZJFiRkW4y0cZo2/yxNroFWrJBvMAYhWpp28MMESYwMyMyZNXj77WosXFgPAHj55QV577ExoFVRYia+y0SattfEJFuomBQjxYU6uycmhAFVum1UcUa3Tl1UZ12cGG3UjASQOZnY5HOVOV49PUmjgg/vJLJ+YyKFXfV8TYsa7B7F48lIBziIpFJuzv23ERnJ903TYqRK9DX1O0SnmSIj87HRZwDvBXZUu6yKLja5iWAb2f1paYnljLFFi+pDX9+WGKmKENO991E27kwu8MSxGkSM7O5O5NkW13UDR0Z2dyeQSKTy5iE+YmLatI1IpVw0NnZj6dL8xYupxZdXhHS5pmgDQDLpGimfodq08bL51dUNmfqOXviJV2FstJjqP27ccuV7Hcc1IqCp7kVNTbB6nV6HUuoQdr2lsmGsZqRf++PxlDQarBCofNYoNXoB+b20ERnJz03lXzPSRpp5tv2Fqhmpk+LvNSZkfhqLejZZgsx2ZCQ/15u896tXt0a+hs6ajPXHpUsbc3wNStMuANOmbcDf/vZ55t8yg2xjQKs6honv8nIWdR1pr4HqJUaaMByi8TeZpr1hg0qMjLbQ9jthksGc9bACnOgs2zhNGwAWLEgvbk0uLlw3v1+Z3nXknUST41a182da1GB9XbWQjwI/uUSpkaqCtwuFEyPlvyPo73Ld3MhFG5FzdICNHC+RJKpdVtXUK/fISLZoZ0TZ0JHZeBN2XzU36drMKKlfJhcaKjFS18aIqdSbNnUEFntjsfTmlPic+UUKf3L37Nn5NbhM3RMvO1CuJ2mbRLXh7OXHzp5dC8dxffuU63rXZwu7ecN/77Rp8jqngDnxRF2bLJjfEzXaN2zWlUq01j3ABshGoJr0wXRQ+R5Ra0aK5Z0cx7USGcmvGeykIWev6bqu0cw8ERvt58eoDbFTNo+EOTSSR3Z+h417w/seNmpG2oqMDGJXVLD2eNmbWCyJlSubccghT+Gww57KjAUSIw3gZ+hffXVhJioSkIsOdkKd5QPBxCLVK53OhLMoW8iZjCQS77fJyaCmRnWATbT7wk7FGzlyDg4//Gnl4I0aGSn2D1uRkUuXpndtTaddif3EtJhnq3izqn+Ybj97vibrRTLYMwXsRLnxEdmmxUiV82/yd/B9x8YBNkB5p2lHSZv1wsspjHpoTlRBrBSQibUmo6ZF4TGVcoz0T9XiVnfjMspGlclFcJTISAD45JNVOf8OU/8pHk9Ki9jzYjsvRsoiZU0tvrx8vXJI07aNzF9NJFJa91/HznkdeqJbhsnre5kvK8OUQOB3aqsuUWtGhg106O6OlqYNAB99tCLUd0dF5UtFFZSA3PVzY2O3lZrMfPttrM1539XG9XlsROfx7S9EzUjHcbXStL2QZXOaXkMAuX6fjXvP1+022X4TQUc6mRHxeApjxixDb28KNTWduOeeKejoiIfSd0iMDAhLR2XIHE0bBsl15Z0j6qAGvBeNJsRI2ULFphhp8v6rUhGi1kNbs6YVvb0p/OUvn2LOnFpcd9046fuiRpzw98J1XSsH2ADp3wOYT7sSJx3TooAtR0IlTpWTGMlOcATs1IzkI7JNOxKqxYvqd4Rxgnkn10aadrlHRkZNiVPhlcoVVWxubJT3Dztisx1kTrPJiHixr5uKGlXNqbo2M0rKbKmkaQPA9Okbcv4d9CRtIN0HZEIHb//mzMmKkbytZ5hK0/ayXeWcpm0KMUIM0LP3uv3BK8U/zAE2lZW5X9zc3COtOQqY2+D1OyhBl2JFRsrqqLuumxex7kXQurGmkAmwJgQlIDdDzMQJwDL4sWSyhBcbf7ydtBkVCdhJY+cFSBvahdjmlpaeyL9DtonFfofJyGH+sFQbNSP5Q0hNBsN4ld7TRUfjiMeT+Pjj7Obpo49OCxUVCZAYGRnZItRk7TkecaHluq6RQwK8HMKgjrTsN3uJkSYmBXEQm5wQVPc3qjizYUMbPvxwWcZoqKIfojrr/L1oaYlZCTUHgE2b0otd05EOomEzUaOJx1bNDtUhPqbFSDY+mRhp0ubwJwtHObBJBT+2zIuR3pGRJn5HZ2d2bNpO47VZFL3cEE+R54kqRqrsejmlacscfbboNWEfRGHWlBAvmztSKSczh/m1XbaQmju3FscdNwpTpqz1/KzJyEjR/wgafbZkSa4wGLReJJD+Pax0B3/fYrFU5jAjXqBety5/AWEqEiQeTynFqjAHqPRFRFFKR4zU7U+yeqCMMMEGfDQPa4cYpMEw5VPJxnZ3dyLw+ieo/+u6bs6cEDYyUva5trZ4oPaI971QyNZTJgQlAFi2LBtVa6PUEJDbfjuRkdlnWJ6bxnxkpP0DbKKm9wPy52ij7bzfbWPtzLuyJtdAJjLAWICRF11dCUyevCbz79bWGJ56amao7yMxUkBngucdJ5noYCtUu7Y211i3tcWNTAheiwkTndp2ZKTo8JisGakSA6OKkTU1nXj++XmZf6siV6JGpvJ90VZUJJCNIGX3y9TiQqzhZlrMc93sJGBy11Q1sZhuPxufTIw0KRbyp9vaSNPmx1CxIyPDwEeV2Iic45+laRG+nPHQIiM/X5W9Lac0bZmwxtK0zYjwuffC1Fwuu8dBFncyG/Lss7MwZco6XH75B56fNRlxIvp/Qedwcc5jYmSQZ+c46qix9evbMW9ebc7fZP6H2cWRfFxSmnYaFvXGMGnv16xR1yc3Na9/8MFS6d9NCQQyUTNMJF3Q6KY//vFj7LDDPzFp0moA4QMdZJ8zkeZcCGTrWROCEgCsXp0fGWl6Y8K22MaLVIUSI03eI9tp2uKmlol+77r5G/TZyEhzN4cvr1BOadom/FV2eK+X37F8eXNen3/iibQYGfQxkBgZAv7hyDqQLTFSdC5NhMkDuaHIPI7jBl5kyzqu7H6YFCPFZ2AyMlI2uaRSTqRi+UBaPPrww2WZf6vuc1RnnZ98bR1eA2Tbb3pxIUYM2BAFWJtNOiqqUyRNR1ixEgsmTk8T4evM2UjT5hdCpsVI1bM0Kary9tfOadppY5ouik5iJI+qv0R9vqoIVNunpZtEFkFj0vaL98jUvZH5CUHsfTLp5IkNs2enRTe/1CGTKVii7QkqRvb0JHNq24WJjASAtWtbAeT7ZDNmbMxJ0QaA5uZ8X9Lk4ksU2xiUpp2Gr88MmBU1vA4zMDUfTpmyTvp3U/O6bD4Pkw4YtE9/9tlaOI6Lv//9CwDhAx1ktq1cxEjZMzTVdn7DO2x6px+8bbexNuevX46RkbyYWog07ainsDPEQ2Bt1Izkg81spGnzGQMmhWDde5FKObjiig/w739Pz3uNiZFeVFfnl5AJ6zeQGBkR2Qlg9sTIXGHG6xTsIKgWYOlaMNGvLxsYJhd3Yuc3ef9lbTdRR3PZsqYcI51MutJ2R3XWeSfO1uE1QDpVwXFc44sLsc2sr5rcGWSOlelxK1vgmU63ZX1x1Sq909mDwDsNNiIjeeHadAqEynEw+Tv4uiw2xap0mqO1y5clKqc/qmgei+X3G9d1yypNXjzpHTB7gI0YtWWq78ucWF6M1Il4GD8+e8hDMulkIgD9NijZPGNiXhEXFWH8halT03UjGxq6Qvt5KhFqzpzanMNrAHmGj0mbvGCBPI037AEqfQ3xkBmTooaX32dqk1ElNptaYMv88EKIkew7WBmDsIEOsvtQLmKkzJcyJSix8k5ANk3btC3gN+dk83tUyl+MtCvWimOORdVGnWv5g4SB7FrX5NqQ33ywERnpF9gWFseR6wkiM2ZswrPPzsa1147P22jRSdP2KnsVdByTGGkAcYFrIxQcyI8SMxUZqTKgQYoreyGbzGyKkSajiBzHzWu/CUGDCZG84Zw/vzbvfVGFT35BwaJjbNVnqqnpyAhMphwK2wfYAFmH03SKgliHi69/Zoq2tjiSSScTBWMSPg3ZRoo/H11seldT5TjYSNN2HNdKGjUbQ+Xo4NpGdk86OuKRbXMy6eQJed3dibITS0QhyWRkpHjvTc3lrpt/7aCR5GPGZLMNlixpzNhbx3E9bYyYGh0FcR4Js0H36afpovBhoyIB9aFm1dUNeWKk47h5995kJMiSJRQZ6YUoHJu0+aq6iq7rGtlYB9T2xdRaSCaMM78t6MFOusTjyYyQ29iY/v+wawvZfWBiZJD2F6O2qqyEhSlBiRdkbdWMdN3scze5Nme/PZnM3p9C+Wom/RHeztvQLsT+Y0qEF6PJbaSY8+K1jZqRuZGRZu+9ThkLFtnoOC6+/HJ95u8dHXEj55EEgcRIA2zYkOv02YqMFHc42Y551AlBJZCYctB5Y80wKUaKxs604CMaT5ODlJ9Upk3bmPNamDR5Ed6A2qwZCQDz5tUZX1yI99qG6MP6uenJbNWq3GgHG21vb+/F+vVtVk7ZY31v/fo2rZD94Ne3l6atuh+mFl/pa6X7pu16giRG5iMrB/Hmm4uMFPkX73c51YtkiItmUxuL6Wvnzq9sLjexUBZFjaD3/uuvsydRz55dk/Oa6KfxMMfdxoF6YWzOjBmbAEQTI1XRsMuWNUtPz2YLE4bJSBBVGRGqGZlG9LVNRmKrfO2eHseY35BMOlIbY8qnkvXFMJF0QX4v/0zYxqnuYVoiXmJkEIqxKSarQWwqMpL3722laQPZeYTStPPh1+c2BD2x/7C+E7Uvi2naNk7T5seteBCPCWxFRgLqQ3FV7/nqq6wYaWO95weJkQYQB4XJgzB4xCgxU5GRKkWeTcZRB7dsgWiydp4YyRKLmZ0QVq7MFZVMRVeJ91U8kbCzszdyH+IngtpaM5OAivnzzYuR4r22IQywBbBpR0U06Dba3tERt1IvEsjej0mT1li5Pl+rtlBipMmNBNbXbRxeA/SNyEhbkRyy58gOBIv6naIgVk4naTN4wbCnJ2HULot20mT/5w80AILbTN4XE8XIRYvUzjmfLhgV0ZaF8Rfmz69Dd3ciI0aaHEcrVzZLfYA5c3Lvl0kxUhWlYXJzqJwRfXtm822UDWB0dpqdc99/f1ne30xlKcn6YhjxSiasqeCjVXt7U5FqN/MnLjOYGFnqUfeysh+m2s7PS2EOJNL/nrSdsZ2GbHLcFgq+/XYiI+Vp2lFZvz53fWWj7bztlI1hE7CxZVoIXrEif8NRhM9Y4A+1C5JpZ6qvkxhpADHFwlZkpCg+mqoZqXI6TdaZEh10kzvirpsreMrqH0VhxYrcBZKpunPiRL58ea7oaeIe8aKM7cjIZcuajEc6iAcFscWpSQeORRybnsxEZ9mWGMnqRZp2gFKp9CE8EyeutnJ9/n7YKD4tOkGplGNUWGJ93bZYVc5ipC1EMXL58iZ88UX6EIWotmH1avubCLbhI6tMH1wm+jcmsxzEjZWg976rK5E5AVMUI5cuVUcZmkzT5m2Z47ih7k9NTSd22umf+O9/FwMwO9+pMkcWLcreH9d1jUbb19fLF6CUpp1G9ClN2nzHkYtonZ1m/Z2JE1fl/Y1F4Eb1HWQiYhgxMkjkvHj9hobu0FlXsqiqcqkZCeTbfFOCEuvnXV29Vm0Bi8YzK/ikO7VMjCwnHCfd/lTKXKQ0j5gZaarviJmi7NmanCtzIyPtiJHsnptef+oEqfCRkbz+wAJpdOy2qftNYqQBRIXelhgpLsCYOGkyeo6HOegmOhu/qHBd1/gCnne2TJ88K+4SsEgH0+KM2I9MRA3wzpfN07SBdMFb0w6FGHVj4yAJ5qiYHreimG8jgq6zs9fK4TWM+vqujBhpegefd9xsiJFiWrzpKBzW122ftFxOh6cUCvFZvvDCPGPXFu29rchXm/CbQiY3FQG1GGnCPoh1DpnfEGSu/eCDZXAcN+/EaDGDhcekGMkvWjo64qHvS1dXwuqhc+I95TddTS+8VNGhlKadRhTdTZd0kUW6dHWZnXPnzcs/pGjBgvQhE1Ftg0xEtC1Giv74ggV1odcWsnpz5SRGiv3TlKDEUpxt1Ytk2Mp+AspfjMyKYeZ98PT1c/u+qX4vBmNl1xDmFir8usTGadr8dU2vgVQH2DHi8WTO2pH3gXQOrzENiZEGEJ19Gyd2ATIx0kxkpOPkh+EDZh10fkHX3Z0wUtuLh00Crqt3ilQQRKfHxsnCQH70gClhj00GNhc2QLq/mF5ciE4Qn9prCjauTE/GYl0dGxFWXV2JzIRiI93n009X+k5qYeGjDNhEbFLgF0U80+OWPU97adrpB1qODi7DVgoa/yxTKceoGCn293KMjGxtzfZJk/UiAaC3115kpLgoDTO2xo5djuXLm/Kem+pAl3g8mZcmGwVeeCh2GrKXPRXHJl9T03SxflVEmS1fqtxIJFI5Prhpm89HvTJMp2nLxhcTI6Mi9tXe3lQofzaRcDBp0mqt94p+/4IF9aEjI2URZ+UsRppqu+um/TSb9SKBrHhqcm3IbCsvtpWjr8bW4rYO3hXX+qbqjYq+gY2ABl6AtHGADZBtt+nr+wUfLV/enPNseF+FRUYWsoQEiZEGEAeXrUHNLzAAc2IkIN+JNRlRwTv7NiKJmPCQSDjGB5BYT4qJV+YjxXInfFPCXiyWhOO41tO0Gxu7jUdGis6fDWGALYhMi9ji+LQjRtqNjHznnSXWrs1HGdhwJEQ7Y/IkbYAXIylNu9DwtnHixNVGFzOieFeONSPZ4UpA1ik1JfSLtZPEUhpREOeoMDZz5sxNeSnagNqfMZ0xwC9OS1mMFOHFHdNRII6Tv0mczpApv6hjG7hu/oa9SZYsya8fxsRIU3ahpyeZ48M6jotFi8yIkUBuBFqUQImf/ORlTJmy1vd94qbU0qWNGZ8lqO8vC74oJzFSLBFmSlAC0iK2zXqRQDbQw0ZkJC80l6OvxvqmrYxOftw6jmts44/VcWVkdRdzEQ28QBik3mzQ70gmHeMBWn73ma8XCaT7MVsz6UZGmgweITHSAOJDtzWoxRQBUwfYAHKB0GRkJD/x2hAjmQhmOkUbABobcyde06IGw3Fyr81+U9QB392dQHNzj5V6IDzt7XHjkZFiFI6NlFWWjmN6E0FciIZJOfSjpydpVYycPHkNADsFuWWRkSYRU4lMR+Ewx9PkacJe31NORdFtw88ho0bNBWDu/ogRNzbGrW3a2rJ20nSatpjCa3I+F32pMDWCV61qzYiRlZyHq3LOTfo5QO7itNhipBNg/cS31UZ9LHGe6upKWPdJygm+Zlc208fMtVetas77m+nISAB4//2lmf9es6bVaLo579tH2XxKJh0MH/5izumxMsTvWL26NXRkpJh5lkw6RoNJbMPbTpOCEpCuK8oi4u0deJdur50DWvLFyFI/lIjHddNCm7007ezNaGkxtw513dxNaTsngWfbaisysqWlx8r6x2+9U12dfzje1Klpm6h7gI3Jfk5ipAHEaDBbYmQikauem5zMRGHTdV2j6V22IyOZiBfWWfCiuTl3UNtMLZoxY1Pmv00Je11dvdbrRQLp/mm61pE4AdiILqyp6YTjmJ+MxagPG21va4tbdWqZbbPhXPGOoY3JWLRppjcRmONJp2kXHjaHtLbG8O676ehdU31U7DflGL3V3p6dO5jtN3V/xAgBk/O5OLeGsZmxWBJTp24AkCvGqYRB0/XK+CiHYouRQYjFkhnRxMbCiz+tEyive1MI2MnpgPlNV1mpFdMH2ADAe+9lxcgFC/JrSEaB9+2jRsInkw5OOOGFjEglQ7xnGzd2hA52EE+kNinmFQLex2xtjRndRFixojnzPG2JeCybzcb60HHKO00bSG8U2cro5P0FU7VGGUuXZiO+7YiR6bY7jms8cpExZ06tlXvv5zuxaHl+zH311Xr09NitVa2CxEgDiM64LTESyF0omYyMFDtfU1OPUYeUr3dpQ4xkKew2IiNFUdCmGDlzJi9GmrlPbW1x6ynatmC7dgzTYif7jkmT1hgft4VIMTdpAwoNb19sFIcWa+yycWsyLQ2wf4BNuTq4NmGp02PGLDM+bltacp9nOaZp833SdGSkuBA12f/FuTZsjWBZ1JNqIcoiI01G5bBoeya4lVpUbaXE83fdbHttREbyJ3cCdHiNSG5kpFmbJltcsgNsTApA06ZtzPw3qxdpqu/zdp6JV1Gu3dubwpNPzpS+Fo8n89KoGxq6IolZfPvLKUUbyN3INd32tWtbrR9gw+yajbU5v+FVrr7a9OkbrUVG8mtyk+n9ALBwYbYMBBP0TM61TIC0dZI2kN60sRGM4XdNFhnJM29enbK2tm1IjDSAKJDYFCOXLUs7LPF40qgwI4pVplOX+J01O5GR9iYb8T7bStMGkFNjhznrUZ3FlpaegkRG2oIXA2wdJvHaawuN706JApuNtpdzdEkymb0/dtIURDHS7LhlThabvG3t6perg2sTNpZYNJFJBzRfEAueKlxseFtj+gAbMULA5Hwu2siwUamyZ5VMOtK6T6Z9HSC9uANK1z6r0rfZicg2NodWrMhNFTZdX7rc4et0mbb5YqkhwE6aNh9NaOokbQYf7c1qDEa99vz58uhNmTjW1haPJEbyz7TcggP4AAzTgtLGjR3Wa0ayYBWTPj7zOfj5sFx9tblza63pFnxNadNC9rJldiMjmX2xKUYuW9ZkZf0jq9PMv8ZHlTJWrGjOHF5TaEiM5Ai7oBEdN5tiJCs6ajo1U5xgTC9geKfcRo01toC0EYYvGgox4sokK1dm6yqZctZbW+OZnfFSi9DQgY/+6+y0s4D54ot1xvuO4+TaBhuiBmuzzedq69p8hJWNyVg88Is51KbuP7PzkyatMXNBBeXq4NqEpTGyaCKTY0rcfCrHNG1e1LOxEcWLeiYj3MQFhekNHNm9YGKkyT40d246JbncBLesGGl+8cWiRRmlKtQWC14AM52mLeuHHR3m59xk0sHixWkR0nSaNj+fb9hgZn2yalWr9O9iXwXSQlaUzCvevyy3yEj+3ptOta2t7bIeGdnU1A3Xda0IVn1BjFyypNHqadpsDcf6jqk1xerVrZn/trGGANJrOBubc4y1a9usRaWqRP7169ukfXXTpo7MplihtQISIzkqQt79VMrNcc5tipErV6YXX6bTM0Vx03TqkkyMNAm7po00bcdxc4yRzchIflI25ay3tMTKOjKSvydh0/b8sFUzha8NZCuqE7AbtWXr2jIx0uR3iePH9LhNJFLYuLFdusNoEiaOlVNknm2YI7V8ufl7ny+Ild8Cg9maVMqxUv+HLazTJyKbs2vJpJNTWy2KzZT5LnxdPoaNyEiWksxsULmM3SVL0vfHRiRIbW1uP2QidjlukNqAj5YzLWrI1iRdXXbWKa++ms4y4aOWTMBvekStGclQjX3Z9dMnnoe3R/xGOhMjy6Xv81GpLHDFVNsbGrqsr0/mzauzVqeTn6/KVYy0KYgByJxebzqqlh+ntsTUnp6k1cjImppOa0KqWBqFIZ6kzWhvj2sfXmMaEiM5ohhXfuFrc1CzjmI6MlIlRpqCdyRsipG2hGC2o5NIpKwuTnmR2VzNyFhmQVouiyKebEqOa+U0bcDO4TtAbupVOYoatmGbODYmY9HOmK71mkg41qMigfJ1cG3S3Z0+bENM/TSB6HiWY2Qks2UNDd1WCq+zPtndnTB+fV6AjCJGyuY6mRNuQ4xkERvlFv3HMjNsRIKIG+jlFjVqG94HN23zUylXUjbGzjplwoRVWLKk0fhJ6Xx/MSVGqrKcWLq5uCaURUzqwkcXlltkJO9LmW57fX2XtcNBGI7j4qqrPrRybX6eKVdfrba205qYBwBffZU+UI6to02tQ/m+yHQX0wJ/T0/C2knaQHpetCVGrlgh3xBiIqV4r1IpN1MKsNBaAYmRHFE6MT852ojOY7AoMdORkaLTzIrem+qQ/I4im9hMdna2YLSRpg1kI1JtLy56erInWppKf2tvjxc0MtL0ZMD6YvremL02jw2HaNWqbNq9zcjIcoU5bzYmY1FEMi1GJpMOJk5cDcBehIPrumXr4NokFkugpqbT2oFWPOU4blmfsWX32aaQjY1FvkSM6XsvE69tpAjW1qavWW5iJNv4s7H4Ep9lud0b2/BjyYZdEwU8doCNaaqrGzP1Ik3CovOSScdYGSn+BHke1enOUUTQ1tb8Q2DKJTiAX7+ZFpQKdUDcO+9UW/+OQvhqNnzNtraY1YxOVpvVtJDNbybYEvS6uxNWIyN7epLWhGA+jZ2HbcrKxjCLYi00JEYaghcdbA5qNpjZLqopwyTuUpuOFuAj2mwsYJija0sIZmKkzZO0GWxBYCpyoL29fE/TBrLpS7aiIm3Cn0xWjqKGbdiiy44YmXu/TadpO46LCRPSYqStRYXrlu9uu01isZSVFG0GL8aU42narM+Yrv3MYEKSjbmcr5ts+vpicfbOzl6rB+qVm+BWX58WGmwsvhIJJ2fDj07TzoVfN9iw+YsWZUsUOI5rTYxsa4tj9uwaAPJT28PCDsKoq+s0GnXJNrt5+IN4eKJ8L+/Ps3FWLvC+q+makbajIhmmfTR+7c0yfMrVV+vtdTJttyF2Mn3EdN/h+6WtjNT29rjVmpGO41rTFVSbJ6r0bQBWyvroQGIkh2yHTBdedLAZ7sx2AkxHRvI1QQAbYmTWSPOna5kiK0baOdBjzZr087V5eA1j2jSzJ3F2dsaLZmBMwCawchTz+MmgHNM9bcMWpDbESDG6xPSE77q5dt8GjkORkTJisUTm8Bob8Ic7lKPdYZtyLDLS9HzI5kEbQl5uaQuz914UZ22JtfF4Co7jlp0YyZ6nrcUXixgFsuJMuUSH2cZx3Mw8aGPjdenS7AK0vT2uPFHdBK+/vhCA+tT2MDD/yVSKNmPatA15fzP9HYDdVGfb8D6IrbaXS/1MGWzclrOvZrNWIJtnTdeM5De4bOkura1xq2naAFBdnV/L2gSyjRZAXTOymJAYmUN4a8h20lzXRSxmT0VnEzKLjDTlyIn17FSdOCy8kbaxgGHCg62oVFYrxubhNYzZs2vw5JMzjDlE7e3xgjo/phcXrK/bSF2yDZ8mWY6ihm3Ypkpvr/nJvrvbbmRkIXBdVxmlsTkTj2cjI20sYtrbs/NIOW4iMB/E9DzOsBkZyebaVMoxXnZFjMywUS+SsXZta9mJkb29aRHVVloaS9cDyi9qtBCwrBgbosaKFdmIY9sZPjbsDvOfTAuFc+bU5P0tSm1IFX1FjDQtKPUFmFhViDWKrc2buXPr/N8Ukq6uBFzXtdLvWX+0VTOyra3Hapo2kDsvmkR2aFNzc09J2h8SIzmidGKm/PO7+jZgiwzTB9jwO7Gu6xqPGLAtRrJIEFtp2sy5Yk6czV28sWOX49prxwMwk+Zi6xCDQsFEpHIU8/jFbzm23zbMjtmIjOzuzgoZqZRj7cAEm7agpaUHCxbYcxJtYvO+JBJOZnFtwznPFSPLb9yyKAE2j5u+RzbFSCYQ2hBkxA0Jm2Lk9OkbC1LWxTQ1NR3WIkH4VGE6wCafxYsbrNUJXr++NfPf5SgEi2KkqflFTFmMxZLG00mB3E2tUhQDvODXVTbuDVDeEdLMf7V5XoRt+Mhp07huOlXbxonmixen5xRbkZFtbXbTtAFYy/KR+R+lGBUJkBhpDGag586ttfo9juMiHk8aT9Pmd3SamnqMO6N8PQc7YmQy5/9Nw4xoIaKr5s6tQzLpoKLCTJqLLeehULD+Uo5iHr9pYEvUKOf0FnZ/bEz2fJS0zYWvTSf66683lrWTbotk0rFaM5IXI8vR7rC+X1trZ9HLxhOzzSZtECspYuO+i5ErTIy0YUPnzKmx4uvYZs6cWmuLr2XLsmOWakbms3RpExIJx/hJ1EButCLzY8vJd2Bj1/SBU+IhDyw61TQdHen2d3X1ll06L1tXOY5rRVAqdxKJFFIpx1rdwkJgOwPnww+XWbFrWTHSzr2vr++yHhlpq9yTWH4PsJcSHhUSIzmiTMzMQDMx0uYkv3Fju/HIyFgsOznaiBbgdy3sipF2Jnkm6BUy0sGUCFGO6ak8TMQrxwNs+AWXLVGjnMUq1jdtREbytqBcx8CXX64DUF6LxkKQSjnSk5FN0d6e7o+9vSlrpzTahImRtmoiMifXxlzOfCkb9jKRcHJqgzNhw4YNnTevriwzEmbPrrG2+GK1t4HyjM6zzapVLdaEKl5EKkSGj2lY2RXVSddhEdc7NupFAtnIyHKLigSyQk9ra8y6MFMu8GOntzdlLRCmUNiOVJ80aY2V67JNaVti5IwZm6zXjGS22bQ97u118sTHBQvqfb+rGPMCiZGGYI4Vq7tgUyCorm40HhnJ17m0IUbyE5iNHXEmdrJFmOn7v25dG2KxZKZwfzkJQK2t5qNXCglblLL/L6ffwYRUOohEDrObNgQf/prlmC4JAFOnpovrl5O9YdhscyrlWnX+OzrS1y7HqEggHV143nlvWSsbww6hs3kSta1Icl6UsZmmbVMst8ndd3+OUaPmWrk2f78pTTufxYsbrG268nMgm3crK+05U6b9NFZ2xbRYKB5KaStCjD3XchQjmS9F9SLlxOPJPuPf2/Lb5s2zU26ouroRrps9/Mu03Zk/v866AG/Tl33iiRmZ/3ZdF2PHLv/ff6s/U4z1Rr/Cf2XpEqUTM6dcVgzZNMuWNRkXI/m0HBZNUVFhrlPy4dk2FnhMhLQ1qB3Hxf33f1GWoka5LqgZbJIvx9/BIo77iqNiGrYgtS9G2omMNGkjZcycucnexQklLE27HA+vYbz55iJr12b3hfk9JseA7bIcS5Y0YscdtwRgV4y0dXiQbRIJB++9txSAefvGC8EUGZnPpElrcP31H1m5Nu8bNzfbj4w0PS/29KQPwRDTqqMSj6fgui4q/ncz+JqUJn8DEznLUYxkYky5l3yyRXd3EgMHko/vha2I45kza6xGLq5b12a9ZqRNxo9fmfnvpUubrNWnjApFRhqiuzuBpqbugpx8umJFS8aZMAUvFtpw0B3Hheum613aCKdmkZE2Cwg/++zsskz3ZKli5RhdBaQXpb29ybI8TZtNkuUopBYCJjzYECP53Uxbmwi2x1S5p/6UK0yMpHErh90XG5GRzM7buvf8gRU2xchynK9swwTIVMqhsaXgv/9dbOW6yaSDVCo9J5bjpnpPTxJz5tRaETX4dRs7Sdv03M5KeDExspwyfFi/ochIOd3dCQo48IGthUz3++bmHmzYYKfmIpCex/n68+XGqlUtcP53+MR77y0pcmvUkBjJEWWQ9PamrIUhi6xY0WS8FhETC4Gsg256Mo7HU9ZSr5ih49PNTbNxY0emWC5RWF57bWFZLl5cNx21W45tLwQswsqGGMlvsJRjwX7CH1vPk9WMLMeTtAtBVow0f3/YxqItm8lqTLmua1WM7AuY9wHTz7YcD/bpC7DDoVpby6/cUCyWxKuvLgBg3u7PmLEx898bNtixCR0dvVi/vq0sIyPZerMchdRC0NNDYmQxeeyx6VavP23aRv83lSiO4+LDD9Op2e+/v6zIrVFDYqQhUikXs2enU7RtG+q1a+3sArAoHFvpRZ2dvdacUCZG2oyMBFCyIc59nZdfnp+puVNODjSQ3k0mMVIOE3tsiJH8hk05RoIQ/tiyBeVeM9I22bqO5ufzVCq9MWqrRjDzn9ra4gWJPKaFexbXTR9+RPUi/bHRb9hhBuV4gE0slsTrry8EYN7uz5lTm/lvFhlpgyefnJkR9MrJj3Xd9EYCpWnLochIfWz0+9Gj0xF/lZXIlFswyZQpa41fs5CMHDkX9fVdmDp1fbGbooTESINMn14Y9dzWzhpbWNiKFmhu7rYmRrI0Akpr7JvMmLGpbIWB1atbyrbttmECs60Ti1mtFxYZWU4LAKJ4tLcnkUo5ZV0z0ibsREZb83lbW9zavd+4MZ2SSVGRxWHBgnorhxj2NWzMVSyzpxzrddbVdWLjRjtjlj9x1maprQ8+WIr6+vIU9H70o1FYtoxFlRe5MSUAL3rFYn3nAJtyhG0w9u9vR9IqVEakrXH1xRfrMGbMspIetyRGckRV1Fkor+0HbmtXmR2KY8tJf+21hdYWL8mkg9raDuuRkURxaGuLW3NEbbN6dSuJkQpYXTVbYiS7PkVGEkFob0+irS1uLTqv3Glvj2PevFpr8/nLL8/Hww9/beXaLLqHiZJEYbn77illKYb1BT79dDWAwhxgY5rOzvRcbqPN7FCcWCyZc8iSaZYsaSrLNG0gHRDw0kvzi92MkoQiI0uDfv3sGDRW3qKc7CVPY2M33ngjHVVeqr+BxEiDrFtnL7yfh6Ufmu5UdXVdcBwXtbV20rSffHKmtcWL6wLHHjuSahH1YT75ZFWxmxCK55+fhzlzaordjJKERTLbEyPTYhKJkUQQentdLFxYTzUjPbjvvi+szbe/+924TLSD6c3dpqZ0lDTbdLXtnJdyNEIxGD9+RU5aLFE4Jk1Ki5HlPB/aGE+sNNVnn60xf3GOZNLBrFmbrH4HUXh6erKRkaUq9mwO9O9v5+b3hTn844/T6+dS/S39it0AonSor+9CU1N3pv6iaerquvD55+naCxUV5gfF6tWtmR1Oou9RrjuPkyevweTJawDY6fflDItktiVGtrbGsNtuQ8o2Eof6S+Fh93zEiHfwf/93aLGbU7J89NFK9Otnbz/bVt9n0a6Upl08brllIgCyb4Wmo6MXs2dvogPdBNj9eOihdDS2zX5ZzkIwIScWS6CykgZTsenfvwJxikcqS0iMJDLU13dZO7yG8cQTM6xenyCI8qGxsRuu61oTI1npCbbYKDdooa7G1oJxwIAKbL11PzQ29lhLFe4LtLbGUFVlbwFmq+/39qbw9dfrMXdundXvIdSw8hlE4eEjmstNjLRl8+PxFObPr8PHH68EQDaBCMaCBfUYN24FANpgKSbpmpF21hJ9gVLumyRGGqaQD9v09zz88NeZAsW2ICeU2Jwp1YmgWHR1JfDgg19ZEyNZ/SeKRiB0qayswN/+th+uuqo68zcat3JSqfK8McccM7LYTSCIojB27IqytWc2233nnZPtXZzo04wcOTfz346dxEJCA1s1I/sKpWz3qWakYUr5YfuxenUrHn88HblYbjumhDf0PIlS5bbbJlsTI1mh/ubm8oyMJNTYnGt32WUgBg4ko0kQNilnf7lcYeVuBg6sjHxoZ1/inXeWFLsJBEFEwFbNSMI+JEYSUmw7KeSEEgQBpIt/24qwamnpgeO4aGujyEgiGFQDiiCIvspWW1UVuwkE0ScgTb802GWXgcVuAhESEiMJKezEbqJvQOIvsTnS2hpDe3uc+j9BEARB/A8SIwnCDORfFp+BAytw7bV7FLsZREhIjCQIgiD6JG1t8bI9vIYgCIIgbEBiJEEQfYXKygoMGECSVrlCT44gCILok7S3x+jwGoIgCILg2HJLEiN5KNWWIAiiOJAYSRAEQfRJXnppAY488tliN4MgCIIgSoZddx1U7CaUFJRqSxCEF2Qj7NFnxMh///vf2GuvvTBo0CAcddRRmD59erGbRBAEQRQZVv+WIh8IgiCIzZ0BAyrwy1/uXOxmEARBEETfECPfeOMN3HDDDbj99tsxe/ZsHHrooTjllFNQX19f7KYRBEEQJQDtahIEQRCbO1VVFZSmTRAEQZQEfUKMfOihh3D55ZfjkksuwcEHH4ynnnoKW2yxBUaOHFnsphEEQRAEQRAEQRAEQRAE8T/6FbsBUent7cWsWbNw0003Zf5WWVmJk046CVOnTpV+Jh6PIx6PZ/7d1tYGABg0KGG3sYZwXZZ2uPnkHQ4aVInu7m4MGtQL13WK3ZzNFnoO5QE9p9KEnkvpQ8+oNKHnUvrQMyoP6DmVJvRcSh96RqUJPZfSZNCgBGKxrG6losL1e0eJs2nTJuy222746quvcMwxx2T+/uc//xmfffYZpk2blveZO+64A3feeWchm0kQBEEQBEEQBEEQBEEQfZ6VK1din332Ub5e9pGRYbjppptwww03ZP7d2tqKPffcE+vWrcPQoUONf9+RRx6JGTNmGL/u5nT99vZ27L777li/fj2GDBli/PphKYV7U8jrB30OdO+Lc/0o40UXerbBr2/qudC9t3d9v2dU6u0v1rVtX7/cbZrt65dC20vVT7N9/XJru/icyq39hbx+Idtuw8bRvTd7/SDPqBTbXyrXJ5tWvOsXsu1tbW3YY489sN1223l+puzFyB122AFVVVWoq6vL+XtdXR2GDRsm/czAgQMxcODAvL8PHTrUipNbVVVlzXne3K4/ZMiQwG2x2f5SujeFvL7uc6B7X7zrA+HGiy70bMNfP+pzoXtv//qqZ1Qu7S/0tQtxfaB8bZrt65dS20vNT7N9/XJtO3tO5dr+Qly/GG03aePo3tu5vs4zKuX2F/v6ZNOKd/1itL2y0vuImrI/wGbAgAH43ve+hwkTJmT+5jgOJkyYkJO2XUyuueYaun4fvX45t73cr1/ObS/E9W1Dz7ZvXr+c207XL961C3F925Tz/Snntpf79cu57XT94l2brl+8a9P1i3v9cm57uV+/FNte9jUjAeCNN97ARRddhKeffhrf//738cgjj+DNN9/EkiVLsPPOO/t+vr29HUOHDkVbW5v1XX0iHPSMSgN6DuUBPafShJ5L6UPPqDSh51L60DMqD+g5lSb0XEofekalCT2X0kT3uZR9mjYAnHfeeWhoaMBtt92G2tpaHHbYYRg/fryWEAmk07Zvv/12aeo2URrQMyoN6DmUB/ScShN6LqUPPaPShJ5L6UPPqDyg51Sa0HMpfegZlSb0XEoT3efSJyIjCYIgCIIgCIIgCIIgCIIofcq+ZiRBEARBEARBEARBEARBEOUBiZEEQRAEQRAEQRAEQRAEQRQEEiMJgiAIgiAIgiAIgiAIgigIJEYSZUtFRQVGjx5d7GYQBEEQBFEEyA8gCIIgCIIoT/q8GHnxxRfjzDPPLHYzCAUXX3wxKioq8v63YsWKYjdts4I9hyuvvDLvtWuuuQYVFRW4+OKLC98wQsrUqVNRVVWFn/3sZ8VuymYNjZvyg3yC0oaeT2lCc05p09DQgKuuugp77LEHBg4ciGHDhuGUU07Bl19+WeymEQDWr1+PSy+9FLvuuisGDBiAPffcE9dddx2ampq0Pj958mRUVFSgtbXVbkM3Q5gf9/e//z3n76NHj0ZFRUWRWkXw+kD//v2x88474+STT8bIkSPhOE6xm0cYpM+LkUTpc+qpp6Kmpibnf3vvvXexm7XZsfvuu+P1119HT09P5m+xWAyvvvoq9thjj0jXTiQSUZtHcDz33HP43e9+h88//xybNm2KdK1UKkUTewRsjhuCIIhSwOScQ5jn7LPPxpw5c/DCCy9g2bJleP/99/HjH/9YW+wi7LFq1SocccQRWL58OV577TWsWLECTz31FCZMmIBjjjkGzc3NxW7iZs+gQYNw//33o6WlpdhNITiYPrBmzRqMGzcOJ5xwAq677jqcfvrpSCaTxW4eYYjNSowcP348fvjDH2KbbbbB9ttvj9NPPx0rV67MvL5mzRpUVFTgnXfewQknnIAtttgChx56KKZOnVrEVvd92C4u/7+qqiq89957OPzwwzFo0CDss88+uPPOO/OMT01NDX76059i8ODB2GefffDWW28V6VeUP4cffjh23313vPPOO5m/vfPOO9hjjz3w3e9+N/M33XH0xhtv4Pjjj8egQYPwyiuvFPS39GU6Ozvxxhtv4KqrrsLPfvYzPP/885nX2O75hx9+iEMOOQSDBg3C0UcfjYULF2be8/zzz2ObbbbB+++/j4MPPhgDBw7EunXrivBL+gamxs3w4cPx29/+NufaDQ0NGDBgACZMmGD/h2yG7LXXXnjkkUdy/nbYYYfhjjvuyPy7oqIC//nPf3DWWWdhiy22wDe/+U28//77hW3oZorO8yHs4zXnsPmERxZRdPfdd2OnnXbC1ltvjcsuuww33ngjDjvsMPuN3wxobW3FlClTcP/99+OEE07Annvuie9///u46aab8P/+3//LvOeyyy7DjjvuiCFDhmD48OGYN29e5hp33HEHDjvsMDz99NPYfffdscUWW+Dcc89FW1tbsX5Wn+Gaa67BgAED8PHHH+P444/HHnvsgZ/+9Kf49NNPsXHjRvz1r38FAMTjcfzlL3/B7rvvjoEDB2K//fbDc889hzVr1uCEE04AAGy77baUcWGBk046CcOGDcN9992nfM/bb7+Nb33rWxg4cCD22msvPPjgg5nXbr75Zhx11FF5nzn00ENx1113WWnz5gDTB3bbbTccfvjhuPnmm/Hee+9h3LhxmXnIz7YBwAcffIAjjzwSgwYNwg477ICzzjqrCL+GULFZiZFdXV244YYbMHPmTEyYMAGVlZU466yz8qKC/vrXv+KPf/wj5s6di/333x/nn38+KfAFZsqUKbjwwgtx3XXXYfHixXj66afx/PPP45577sl536233oqzzz4b8+bNwwUXXIARI0agurq6SK0ufy699FKMGjUq8++RI0fikksuyXmP7ji68cYbcd1116G6uhqnnHJKQdq/OfDmm2/iwAMPxAEHHIBf//rXGDlyJFzXzXnPn/70Jzz44IOYMWMGdtxxR/z85z/PiU7t7u7G/fffj//85z9YtGgRdtppp0L/jD6FiXFz2WWX4dVXX0U8Hs985uWXX8Zuu+2G4cOHF+aHEFLuvPNOnHvuuZg/fz5OO+00XHDBBRTNQmw26Mw5Xrzyyiu45557cP/992PWrFnYY4898OSTT1ps8ebFVlttha222gqjR4/OmT94fvnLX6K+vh7jxo3DrFmzcPjhh+PEE0/MsWMrVqzAm2++iQ8++ADjx4/HnDlzcPXVVxfqZ/RJmpub8dFHH+Hqq6/G4MGDc14bNmwYLrjgArzxxhtwXRcXXnghXnvtNTz22GOorq7G008/ja222gq777473n77bQDA0qVLUVNTg0cffbQYP6fPUlVVhXvvvRf/+te/sGHDhrzXZ82ahXPPPRcjRozAggULcMcdd+DWW2/NCGIXXHABpk+fnrPBvGjRIsyfPx+/+tWvCvUzNguGDx+OQw89NBMA4GfbPvzwQ5x11lk47bTTMGfOHEyYMAHf//73i/kTCBG3j3PRRRe5Z5xxhvS1hoYGF4C7YMEC13Vdd/Xq1S4A9z//+U/mPYsWLXIBuNXV1YVo7mbHRRdd5FZVVblbbrll5n/nnHOOe+KJJ7r33ntvzntfeukld5dddsn8G4B75ZVX5rznqKOOcq+66qqCtL0vwcZJfX29O3DgQHfNmjXumjVr3EGDBrkNDQ3uGWec4V500UXSz6rG0SOPPFLAX7D5cOyxx2bubSKRcHfYYQd30qRJruu67qRJk1wA7uuvv555f1NTkzt48GD3jTfecF3XdUeNGuUCcOfOnVvwtvc1TI6bnp4ed9ttt808J9d13UMOOcS94447CvFTNht4n2DPPfd0H3744ZzXDz30UPf222/P/BuAe8stt2T+3dnZ6QJwx40bV4DWbn6EeT7vvvtuwdq3OeI154waNcodOnRozvvfffddl19eHHXUUe4111yT854f/OAH7qGHHmqz2ZsVb731lrvtttu6gwYNco899lj3pptucufNm+e6rutOmTLFHTJkiBuLxXI+s++++7pPP/2067que/vtt7tVVVXuhg0bMq+PGzfOraysdGtqagr3Q/oYX3/9taeNeuihh1wA7rRp01wA7ieffCJ9H/PtWlpa7DV2M4Wfc44++mj30ksvdV0314796le/ck8++eScz/3pT39yDz744My/Dz30UPeuu+7K/Pumm25yjzrqKMut77t46TfnnXeee9BBB2nZtmOOOca94IILbDeXiMBmFRm5fPlynH/++dhnn30wZMgQ7LXXXgCQl6J4yCGHZP57l112AQDU19cXrJ2bGyeccALmzp2b+d9jjz2GefPm4a677srs+G611Va4/PLLUVNTg+7u7sxnjznmmJxrHXPMMRQZGYEdd9wxk4Y1atQo/OxnP8MOO+yQ8x7dcXTEEUcUqtmbDUuXLsX06dNx/vnnAwD69euH8847D88991zO+/hxsd122+GAAw7IGRcDBgzIsXNENEyMm0GDBuH//u//MHLkSADA7NmzsXDhQkrHKgH4sbLllltiyJAh5BMQmwW6c47fNcRIFIpMMcvZZ5+NTZs24f3338epp56KyZMn4/DDD8fzzz+PefPmobOzE9tvv32OT7169eqcSK499tgDu+22W+bfxxxzDBzHwdKlS4vxk/oUrk8k8Zo1a1BVVYXjjz++QC0iZNx///144YUX8taR1dXV+MEPfpDztx/84AdYvnw5UqkUgHR05Kuvvgog/bxfe+01XHDBBYVp+GaG67qoqKjQsm1z587FiSeeWOQWE170K3YDCsnPf/5z7Lnnnnj22Wex6667wnEcfPvb30Zvb2/O+/r375/5b1b3hg54sMeWW26J/fbbL+dvnZ2duPPOO/GLX/wi7/2DBg0qVNM2Sy699NJM7bp///vfea/rjqMtt9yyIO3dnHjuueeQTCax6667Zv7mui4GDhyIxx9/XPs6gwcPplMCDWNi3Fx22WU47LDDsGHDBowaNQrDhw/HnnvuWbDfsLlRWVmZt0iUHbbF+wRA2i8gn8A+us+HsIffnEPPqHQYNGgQTj75ZJx88sm49dZbcdlll+H222/H1VdfjV122QWTJ0/O+4xY75Mwy3777YeKigpUV1dL69RVV1dj2223zUvhJorDcccdh1NOOQU33XRT4I3g888/H3/5y18we/Zs9PT0YP369TjvvPPsNHQzp7q6GnvvvTc6Ozt9bRuNrdJnsxEjm5qasHTpUjz77LP40Y9+BAD44osvitwqQsXhhx+OpUuX5omUIl9//TUuvPDCnH/zh0YQwTn11FPR29uLioqKvFqPNI6KRzKZxIsvvogHH3wQP/nJT3JeO/PMM/Haa6/hwAMPBJAeB+wk55aWFixbtgwHHXRQwdu8OWFi3HznO9/BEUccgWeffRavvvpqIIGZCM6OO+6ImpqazL/b29uxevXqIraI4KHnU1x05pw999wTHR0d6OrqymxAzp07N+e9BxxwAGbMmJHjq82YMcN6+zd3Dj74YIwePRqHH344amtr0a9fv0xEvox169Zh06ZNGeH566+/RmVlJQ444IACtbjvsf322+Pkk0/GE088geuvvz5HGKmtrcUrr7yCCy+8EN/5znfgOA4+++wznHTSSXnXGTBgAABkovAIe/z973/HYYcdltPvDzroIHz55Zc57/vyyy+x//77o6qqCgDwjW98A8cffzxeeeUV9PT04OSTT6Z67BaYOHEiFixYgOuvvx7f+MY3fG3bIYccggkTJuTVcSdKh81GjNx2222x/fbb45lnnsEuu+yCdevW4cYbbyx2swgFt912G04//XTsscceOOecc1BZWYl58+Zh4cKFuPvuuzPv++9//4sjjjgCP/zhD/HKK69g+vTpgdKHiHyqqqoyKQpskmXQOCoeY8aMQUtLC37zm99g6NChOa+dffbZeO655/DPf/4TAHDXXXdh++23x84774y//vWv2GGHHXDmmWcWodWbD6bGzWWXXYbf/va32HLLLenEP8sMHz4czz//PH7+859jm222wW233Zb37IjiQc+nuOjMOR999BG22GIL3Hzzzbj22msxbdq0nNO2AeB3v/sdLr/8chxxxBE49thj8cYbb2D+/PnYZ599Cvhr+i5NTU345S9/iUsvvRSHHHIItt56a8ycORP/+Mc/cMYZZ+Ckk07CMcccgzPPPBP/+Mc/sP/++2PTpk2Zgx1YSZ1BgwbhoosuwgMPPID29nZce+21OPfcczFs2LAi/8Ly5vHHH8exxx6LU045BXfffTf23ntvLFq0CH/605+w22674Z577sF2222Hiy66CJdeeikee+wxHHrooVi7di3q6+tx7rnnYs8990RFRQXGjBmD0047DYMHD8ZWW21V7J/WJ/nOd76DCy64AI899ljmb3/4wx9w5JFH4m9/+xvOO+88TJ06FY8//jieeOKJnM9ecMEFuP3229Hb24uHH3640E3vc8TjcdTW1iKVSqGurg7jx4/Hfffdh9NPPx0XXnghKisrfW3b7bffjhNPPBH77rsvRowYgWQyibFjx+Ivf/lLsX8e8T/6fM1Ix3HQr18/VFZW4vXXX8esWbPw7W9/G9dff31m4U6UHqeccgrGjBmDjz/+GEceeSSOPvpoPPzww3kpi3feeSdef/11HHLIIXjxxRfx2muv4eCDDy5Sq/sOQ4YMwZAhQ/L+TuOoeDz33HM46aST8haFQHphOHPmTMyfPx9Aemf3uuuuw/e+9z3U1tbigw8+yOysE/YwMW7OP/989OvXD+effz6VpLAA8wkA4KabbsLxxx+P008/HT/72c9w5plnYt999y1yCzdv6PmUDjpzzoYNG/Dyyy9j7Nix+M53voPXXnsNd9xxR857L7jgAtx000344x//iMMPPxyrV6/GxRdfTPbNEFtttRWOOuooPPzwwzjuuOPw7W9/G7feeisuv/xyPP7446ioqMDYsWNx3HHH4ZJLLsH++++PESNGYO3atdh5550z19lvv/3wi1/8Aqeddhp+8pOf4JBDDskTW4jgfPOb38TMmTOxzz774Nxzz8W+++6LK664AieccAKmTp2K7bbbDgDw5JNP4pxzzsHVV1+NAw88EJdffjm6uroAALvtthvuvPNO3Hjjjdh5550zJWEIO9x11105pVgOP/xwvPnmm3j99dfx7W9/G7fddhvuuuuuvFTuc845B01NTeju7qYAAAOMHz8eu+yyC/baay+ceuqpmDRpEh577DG89957qKqq0rJtP/7xj/Hf//4X77//Pg477DAMHz4c06dPL/IvI3gqXL+qumXOqaeeiv3224/S3QiC6PNMnjwZJ5xwAlpaWqgWVJmyZs0a7LvvvpgxYwYOP/zwYjenz0E+QWlDz2fz4OSTT8awYcPw0ksvFbspBIA77rgDo0ePzkuxJwiCIAib9Nk07ZaWFnz55ZeYPHkyrrzyymI3hyAIgiCUJBIJNDU14ZZbbsHRRx9NQqRhyCcobej59F26u7vx1FNP4ZRTTkFVVRVee+01fPrpp/jkk0+K3TSCIAiCIIpInxUjL730UsyYMQN/+MMfcMYZZxS7OQRBEASh5Msvv8QJJ5yA/fffH2+99Vaxm9PnIJ+gtKHn03dhqXT33HMPYrEYDjjgALz99tvSgzoIgiAIgth86PNp2gRBEARBEARBEARBEARBlAZ9/gAbgiAIgiAIgiAIgiAIgiBKAxIjCYIgCIIgCIIgCIIgCIIoCH1CjLzvvvtw5JFHYuutt8ZOO+2EM888E0uXLs15TywWwzXXXIPtt98eW221Fc4++2zU1dVlXp83bx7OP/987L777hg8eDAOOuggPProo8rv/PLLL9GvXz8cdthhtn4WQRAEQRAEQRAEQRAEQfQp+oQY+dlnn+Gaa67B119/jU8++QSJRAI/+clP0NXVlXnP9ddfjw8++AD//e9/8dlnn2HTpk34xS9+kXl91qxZ2GmnnfDyyy9j0aJF+Otf/4qbbroJjz/+eN73tba24sILL8SJJ55YkN9HEARBEARBEARBEARBEH2BPnmATUNDA3baaSd89tlnOO6449DW1oYdd9wRr776Ks455xwAwJIlS3DQQQdh6tSpOProo6XXueaaa1BdXY2JEyfm/H3EiBH45je/iaqqKowePRpz5861/ZMIgiAIgiAIgiAIgiAIouzpE5GRIm1tbQCA7bbbDkA66jGRSOCkk07KvOfAAw/EHnvsgalTp3peh12DMWrUKKxatQq33367hZYTBEEQBEEQBEEQBEEQRN+lX7EbYBrHcfD73/8eP/jBD/Dtb38bAFBbW4sBAwZgm222yXnvzjvvjNraWul1vvrqK7zxxhv48MMPM39bvnw5brzxRkyZMgX9+vW5W0cQBEEQBEEQBEEQBEEQVulzito111yDhQsX4osvvgh9jYULF+KMM87A7bffjp/85CcAgFQqhV/96le48847sf/++5tqLkEQBEEQBEEQBEEQBEFsNvQpMfK3v/0txowZg88//xzf+MY3Mn8fNmwYent70dramhMdWVdXh2HDhuVcY/HixTjxxBNxxRVX4JZbbsn8vaOjAzNnzsScOXPw29/+FkA6CtN1XfTr1w8ff/wxhg8fbvcHEgRBEARBEARBEARBEEQZ0yfESNd18bvf/Q7vvvsuJk+ejL333jvn9e9973vo378/JkyYgLPPPhsAsHTpUqxbtw7HHHNM5n2LFi3C8OHDcdFFF+Gee+7JucaQIUOwYMGCnL898cQTmDhxIt5666287yQIgiAIgiAIgiAIgiAIIpc+IUZec801ePXVV/Hee+9h6623ztSBHDp0KAYPHoyhQ4fiN7/5DW644QZst912GDJkCH73u9/hmGOOyZykvXDhQgwfPhynnHIKbrjhhsw1qqqqsOOOO6KysjJTg5Kx0047YdCgQXl/JwiCIAiCIAiCIAiCIAginz4hRj755JMAgB//+Mc5fx81ahQuvvhiAMDDDz+MyspKnH322YjH4zjllFPwxBNPZN771ltvoaGhAS+//DJefvnlzN/33HNPrFmzxvZPIAiCIAiCIAiCIAiCIIg+T4Xrum6xG0EQBEEQBEEQBEEQBEEQRN+nstgNIAiCIAiCIAiCIAiCIAhi84DESIIgCIIgCIIgCIIgCIIgCgKJkQRBEARBEARBEARBEARBFAQSIwmCIAiCIAiCIAiCIAiCKAgkRhIEQRAEQRAEQRAEQRAEURBIjCQIgiAIgiAIgiAIgiAIoiCQGEkQBEEQBEEQBEEQBEEQREEgMZIgCIIgCIIgCIIgCIIgiIJAYiRBEARBEARBEARBEARBEAWBxEiCIAiCIAiiIFx88cWoqKhARUUF+vfvj5133hknn3wyRo4cCcdxtK/z/PPPY5tttrHXUIIgCIIgCMIaJEYSBEEQBEEQBePUU09FTU0N1qxZg3HjxuGEE07Addddh9NPPx3JZLLYzSMIgiAIgiAsQ2IkQRAEQRAEUTAGDhyIYcOGYbfddsPhhx+Om2++Ge+99x7GjRuH559/HgDw0EMP4Tvf+Q623HJL7L777rj66qvR2dkJAJg8eTIuueQStLW1ZaIs77jjDgBAPB7HH//4R+y2227YcsstcdRRR2Hy5MnF+aEEQRAEQRCEFBIjCYIgCIIgiKIyfPhwHHrooXjnnXcAAJWVlXjsscewaNEivPDCC5g4cSL+/Oc/AwCOPfZYPPLIIxgyZAhqampQU1ODP/7xjwCA3/72t5g6dSpef/11zJ8/H7/85S9x6qmnYvny5UX7bQRBEARBEEQuFa7rusVuBEEQBEEQBNH3ufjii9Ha2orRo0fnvTZixAjMnz8fixcvznvtrbfewpVXXonGxkYA6ZqRv//979Ha2pp5z7p167DPPvtg3bp12HXXXTN/P+mkk/D9738f9957r/HfQxAEQRAEQQSnX7EbQBAEQRAEQRCu66KiogIA8Omnn+K+++7DkiVL0N7ejmQyiVgshu7ubmyxxRbSzy9YsACpVAr7779/zt/j8Ti233576+0nCIIgCIIg9CAxkiAIgiAIgig61dXV2HvvvbFmzRqcfvrpuOqqq3DPPfdgu+22wxdffIHf/OY36O3tVYqRnZ2dqKqqwqxZs1BVVZXz2lZbbVWIn0AQBEEQBEFoQGIkQRAEQRAEUVQmTpyIBQsW4Prrr8esWbPgOA4efPBBVFamy5u/+eabOe8fMGAAUqlUzt+++93vIpVKob6+Hj/60Y8K1naCIAiCIAgiGCRGEgRBEARBEAUjHo+jtrYWqVQKdXV1GD9+PO677z6cfvrpuPDCC7Fw4UIkEgn861//ws9//nN8+eWXeOqpp3Kusddee6GzsxMTJkzAoYceii222AL7778/LrjgAlx44YV48MEH8d3vfhcNDQ2YMGECDjnkEPzsZz8r0i8mCIIgCIIgeOg0bYIgCIIgCKJgjB8/Hrvssgv22msvnHrqqZg0aRIee+wxvPfee6iqqsKhhx6Khx56CPfffz++/e1v45VXXsF9992Xc41jjz0WV155Jc477zzsuOOO+Mc//gEAGDVqFC688EL84Q9/wAEHHIAzzzwTM2bMwB577FGMn0oQBEEQBEFIoNO0CYIgCIIgCIIgCIIgCIIoCBQZSRAEQRAEQRAEQRAEQRBEQSAxkiAIgiAIgiAIgiAIgiCIgkBiJEEQBEEQBEEQBEEQBEEQBYHESIIgCIIgCIIgCIIgCIIgCgKJkQRBEARBEARBEARBEARBFAQSIwmCIAiCIAiCIAiCIAiCKAgkRhIEQRAEQRAEQRAEQRAEURBIjCQIgiAIgiAIgiAIgiAIoiCQGEkQBEEQBEEQBEEQBEEQREEgMZIgCIIgCIIgCIIgCIIgiIJAYiRBEARBEARBEARBEARBEAXh/wci7PqUHR3WcQAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -503,10 +503,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:10.916698Z",
-     "iopub.status.busy": "2024-09-13T08:25:10.916328Z",
-     "iopub.status.idle": "2024-09-13T08:25:11.042878Z",
-     "shell.execute_reply": "2024-09-13T08:25:11.042263Z"
+     "iopub.execute_input": "2025-02-02T04:24:22.177466Z",
+     "iopub.status.busy": "2025-02-02T04:24:22.177284Z",
+     "iopub.status.idle": "2025-02-02T04:24:22.320806Z",
+     "shell.execute_reply": "2025-02-02T04:24:22.320300Z"
     },
     "tags": [
      "remove-input"
@@ -515,7 +515,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -548,10 +548,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:11.045431Z",
-     "iopub.status.busy": "2024-09-13T08:25:11.045251Z",
-     "iopub.status.idle": "2024-09-13T08:25:11.270751Z",
-     "shell.execute_reply": "2024-09-13T08:25:11.270151Z"
+     "iopub.execute_input": "2025-02-02T04:24:22.322687Z",
+     "iopub.status.busy": "2025-02-02T04:24:22.322496Z",
+     "iopub.status.idle": "2025-02-02T04:24:22.541177Z",
+     "shell.execute_reply": "2025-02-02T04:24:22.540671Z"
     },
     "tags": [
      "remove-input"
@@ -560,7 +560,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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//vprhjHNnz+fMmXKYG9vn6GPPzNuERERERGRJ02JgX9Qly5duHTpEjt27DCOXb58mc2bNxMQEPDY/a1evZoSJUowfvx4kpKSSEpKeqz227ZtIy4ujm+++Yb169dz+/Zt/P39cXFxYffu3URFReHs7EzLli25desWaWlpdOjQgSZNmvDjjz+yZ88e+vfvb9xAb9myhcOHD/PVV1/h7OzM2LFjKV26NN7e3ixbtgxnZ2dq167NxIkTeeeddx4ZW2xsLJGRkSxbtozVq1czbtw4o3zkyJFMmTKF4OBgjh07xtKlSylcuDDAI8eR1fizez3T09Np3749ly9fZufOnXzzzTecOnWKF1980aLeyZMnWbVqFatXryY6Ojrbv8nDxv2gmzdvkpKSYvERERERERF5HLlzOgBrkj9/flq1asXSpUtp3rw5ACtXrqRgwYI0bdqUxYsXP1Z/BQoUIFeuXLi4uFCkSJHHjsfJyYn58+dja2sLwBdffEF6ejrz5883bvYXLFhAvnz5iIyMpFatWiQnJ9OmTRvKlSsHgI+Pj9HfokWLGDx4ME5OTixevJhPPvmE+fPnU7BgQYYOHcr169cBeOmll3jjjTe4fv06Tk5OmcZma2vL559/jqOjI5UqVWL8+PEMGzaMCRMmcP36dcLCwvjoo4/o1asXAOXKlaNhw4YAfPnllw8dx3PPPZfp+IFsXc9t27YRExPD6dOnKVmypDH2SpUqsX//fmrXrg3cXT6waNEi3N3ds/2bPGzcNjYZ83iTJ09+aOJARERERETkUTRj4B8WEBDAqlWruHnzJgBLliyhW7dumd70/d18fX0tboqPHDnCyZMncXFxwdnZGWdnZwoUKMAff/xBQkICBQoUIDAwEH9/f9q2bUtYWJjFU/WYmBjq168PwLp16xg0aBBt2rThmWeeYdq0aUY9Ozs78ubN+9Cn21WrVsXR0dH4Xq9ePVJTUzl37hyxsbHcvHnTSK486FHjyGr82RUbG0vJkiWNpABAxYoVyZcvH7Gxscax0qVLP1ZSAB4+7syMHDmS5ORk45NVPRERERERkaxoxsA/rG3btpjNZjZs2EDt2rXZvXs3H3zwAQA2NjaYzWaL+rdv337sc2S3nwef1qemplKzZk2WLFmSoe69G9wFCxYwaNAgNm/ezJdffsm7777LN998wzPPPENaWhoODg7A3afl9/fv7Oxs/PvcuXPcunWLQoUKPfbYAOMcWcnOOCDj+J+0v7t/uJtksbOz+9vPIyIiIiIiTy/NGPiH2dvb06lTJ5YsWcKyZcvw9vamRo0awN2b1gfXtT9qbbqtrS137tyxOObu7s4vv/xikRzIzhr3GjVqEB8fT6FChfD09LT45M2b16hXvXp1Ro4cyffff0/lypVZunQpAJ6ensTExADQsGFD5s2bx/nz5/n999+NGQOJiYn07NmTwYMHkytXrixjOXLkCL///rvx/YcffsDZ2ZmSJUtSvnx5HBwcsnzVX3bHkZnMrueDfHx8OHfunMXT+WPHjnH16lUqVqz40LaP8rBxi4iIiIiI/B2UGMgBAQEBbNiwgc8//9xi08FmzZpx4MABFi1aRHx8PGPGjOF///vfQ/vy8PBg165dnD9/nt9++w24+7aCixcvMm3aNBISEpg9ezabNm3KVlwFCxakffv27N69m9OnTxMZGcmgQYP46aefOH36NCNHjmTPnj2cPXuWrVu3Eh8fb+wz0LFjR+bMmQPAwIEDKVeuHCVKlCB//vyULVsWgFq1atGiRQtCQkIeGsutW7fo27cvx44dY+PGjYwZM4aBAwdiY2ODvb09I0aMYPjw4SxatIiEhAR++OEHPvvss2yN43Gv5/nz56lQoQL79u0DoEWLFvj6+hIQEMChQ4fYt28fPXv2pEmTJtSqVSvLvnv27MnIkSP/9LhFRERERET+DrrbyAHNmjWjQIECxMXF0aNHD+O4v78/wcHBDB8+nNq1a3Pt2jV69uz50L7Gjx/PmTNnKFeunDFN3sfHhzlz5jB79myqVq3Kvn37CAoKemRcjo6O7Nq1i1KlStGpUyd8fHzo27cvf/zxB66urjg6OnL8+HFeeOEFvLy86N+/PwMGDODVV18F4OWXX+bKlSsEBwdjb2/P119/zeXLl7lw4QITJkzg/Pnz/Prrr4wePfqRN7rNmzenfPnyNG7cmBdffJF27doxduxYozw4OJihQ4cSEhKCj48PL774IhcuXMjWOB73et6+fZu4uDhu3LgBgMlk4uuvvyZ//vw0btyYFi1aULZsWb788suH9p2YmPjIN0c8atwiIiIiIiJPmsn84GJ0kb/gzJkztGzZkjJlyjB8+HAaNGiAra0t586dY968eezcuZMdO3ZYJAZGjhzJ7t27+e677wAIDAzk6tWrrF27NodG8c/4O8adkpJyd7lE8VFgY/+EIv1nmBODczoEEREREZGnxr17g+Tk5Ec+INWMAXmiPDw82L9/P3Xq1CEwMBB7e3tsbW2pWLEip06d4rPPPjOSAmazmYSEBLZt20alSpVyOPJ/jrWOW0RERERE/p2UGJAnzsXFhXHjxnH27FkuXrzIqVOnuHLlCl988QWenp5GveTkZCpWrIitrS2jRo3KwYj/WdY6bhERERER+XfSUgKRp4iWEoiIiIiICGgpgYiIiIiIiIhkkxIDIiIiIiIiIlZMiQERERERERERK6bEgIiIiIiIiIgVy53TAYjIk5d8bMQjNxgREREREREBzRgQERERERERsWpKDIiIiIiIiIhYMSUGRERERERERKyYEgMiIiIiIiIiVkyJARERERERERErpsSAiIiIiIiIiBXT6wpFnkJ5K04FG/ucDuOxmBODczoEERERERGrpBkDIiIiIiIiIlZMiQERERERERERK6bEgIiIiIiIiIgVU2JARERERERExIopMSAiIiIiIiJixZQYEBEREREREbFiSgyIiIiIiIiIWDElBkRERERERESs2BNLDJw5cwaTyUR0dPST6lIeITAwkA4dOvylPiIjIzGZTFy9evWJxPRfYTKZWLt2bU6HISIiIiIikuM0Y8DK1a9fn6SkJPLmzfvYbdPT0/nyyy9p27YtpUqVwt3dnVq1ajF27FguXbr0N0QrIiIiIiIiT1runDz5nTt3MJlM2NgoP5FTbG1tKVKkyGO3++233+jcuTPnzp1jwIABDBs2jAIFCnDq1CmWLl1KxYoVWbNmDfXr1/8bohYREREREZEn5bHvyNPT05k2bRqenp7Y2dlRqlQpJk6caJSfOnWKpk2b4ujoSNWqVdmzZ49RFh4eTr58+YiIiKBixYrY2dmRmJjIlStX6NmzJ/nz58fR0ZFWrVoRHx+fod369evx9vbG0dGRzp07c+PGDRYuXIiHhwf58+dn0KBB3Llzx2h38+ZNgoKCKF68OE5OTtStW5fIyMhHjnHdunXUrl0be3t7ChYsSMeOHQEYNWoUdevWzVC/atWqjB8/3vg+f/58fHx8sLe3p0KFCsyZM+eh57tz5w59+/alTJkyODg44O3tTVhYWIY6Q4YMIV++fLi5uTF8+HDMZrNFHT8/P958800GDx5M/vz5KVy4MPPmzeP69ev07t0bFxcXPD092bRpk9HmwaUE9671li1b8PHxwdnZmZYtW5KUlGS0SUtLo127dpQrV47jx48zZMgQGjduTOXKlWnXrh3Lly/n888/p2PHjpw6dcpod+3aNQICAnBycqJo0aJ88MEH+Pn5MXjwYKPOo/4WAFatWkWlSpWws7PDw8OD6dOnW5QnJSXx/PPP4+DgQJkyZVi6dCkeHh7MnDkzy9/g3LlzdO3alXz58lGgQAHat2/PmTNnHvazcfToUdq0aYOrqysuLi40atSIhIQE4O5/J+PHj6dEiRLY2dlRrVo1Nm/ebLS9t/Tmq6++olGjRjg4OFC7dm1OnDjB/v37qVWrFs7OzrRq1YqLFy8+NA4REREREZG/4rETAyNHjmTKlCkEBwdz7Ngxli5dSuHChY3y0aNHExQURHR0NF5eXnTv3p20tDSj/MaNG0ydOpX58+dz9OhRChUqRGBgIAcOHCAiIoI9e/ZgNptp3bo1t2/ftmg3a9Ysli9fzubNm4mMjKRjx45s3LiRjRs3snjxYj799FNWrlxptBk4cCB79uxh+fLl/Pjjj3Tp0oWWLVtmuNG834YNG+jYsSOtW7fm8OHDbNu2jTp16gAQEBDAvn37jJs/uHtz+OOPP9KjRw8AlixZQkhICBMnTiQ2NpZJkyYRHBzMwoULszxneno6JUqUYMWKFRw7doyQkBBGjRrFV199ZdSZPn064eHhfP7553z33XdcvnyZNWvWZOhr4cKFFCxYkH379vHmm2/y+uuv06VLF+rXr8+hQ4d47rnnePnll7lx40aW8dy4cYPQ0FAWL17Mrl27SExMJCgoyCj/7LPPMJlMzJ07l/T0dN58802KFy9OtWrV+Pzzz6lUqRLPP/88/fv3Z9y4cUa7IUOGEBUVRUREBN988w27d+/m0KFDFud+1N/CwYMH6dq1K926dSMmJoaxY8cSHBxMeHi40UfPnj35+eefiYyMZNWqVcydO5cLFy5kOd7bt2/j7++Pi4sLu3fvJioqykiI3Lp1K9M258+fp3HjxtjZ2bF9+3YOHjxInz59jL/1sLAwpk+fTmhoKD/++CP+/v60a9cuw9/emDFjePfddzl06BC5c+emR48eDB8+nLCwMHbv3s3JkycJCQnJMvabN2+SkpJi8REREREREXks5seQkpJitrOzM8+bNy9D2enTp82Aef78+caxo0ePmgFzbGys2Ww2mxcsWGAGzNHR0UadEydOmAFzVFSUcey3334zOzg4mL/66iuLdidPnjTqvPrqq2ZHR0fztWvXjGP+/v7mV1991Ww2m81nz54158qVy3z+/HmLOJs3b24eOXJklmOsV6+eOSAgIMvyqlWrmsePH298HzlypLlu3brG93LlypmXLl1q0WbChAnmevXqZdlnZgYMGGB+4YUXjO9FixY1T5s2zfh++/Ztc4kSJczt27c3jjVp0sTcsGFD43taWprZycnJ/PLLLxvHkpKSzIB5z549ZrPZbN6xY4cZMF+5csVsNmd+rWfPnm0uXLiw8b1+/frmdevWmc1ms3n8+PFmLy8v844dO8zbt283V6hQwVy6dGmz2Ww2nzx50miXkpJizpMnj3nFihVGP1evXjU7Ojqa33rrLbPZnL2/hR49epifffZZi2s1bNgwc8WKFc1ms9kcGxtrBsz79+83yuPj482A+YMPPjCOAeY1a9aYzWazefHixWZvb29zenq6UX7z5k2zg4ODecuWLebMjBw50lymTBnzrVu3Mi0vVqyYeeLEiRbHateubX7jjTfMZnPm/70sW7bMDJi3bdtmHJs8ebLZ29s703OYzWbzmDFjzEDGT/FRZkqO/099RERERETkyUlOTjYD5uTk5EfWfawZA7Gxsdy8eZPmzZtnWadKlSrGv4sWLQpg8bTW1tbWok5sbCy5c+e2mKLv5uaGt7c3sbGxxjFHR0fKlStnfC9cuDAeHh44OztbHLt3rpiYGO7cuYOXlxfOzs7GZ+fOncYT//uPv/baawBER0c/dHwBAQEsXboUALPZzLJlywgICADg+vXrJCQk0LdvX4u+33vvPeOcrVq1Mo5XqlTJ6Hf27NnUrFkTd3d3nJ2dmTt3LomJiQAkJyeTlJRkcY1y585NrVq1Hnr9c+XKhZubG76+vhbXCHjoE/QHr3XRokUt6sfExBh7B6xbt44xY8bg5+dH06ZNeffddy3aXblyBbi7xOT27dvG7AuAvHnz4u3tbXzPzt9CbGwsDRo0sIi3QYMGxMfHc+fOHeLi4sidOzc1atQwyj09PcmfP3+W4z1y5AgnT57ExcXF+G0KFCjAH3/8YTE75H7R0dE0atSIPHnyZChLSUnh559/zjTO+/+mwfL3uvfbPPh7Pey3GjlyJMnJycbn3LlzWdYVERERERHJzGNtPujg4PDIOvffKJlMJuDuVPn7+7h3/HE8eANmMpkyPXbvXKmpqeTKlYuDBw+SK1cui3r3kgn3v1rR1dXViO9hunfvzogRIzh06BC///47586d48UXXzTOCTBv3rwMexHci2H+/Pn8/vvvFmNavnw5QUFBTJ8+nXr16uHi4sL777/P3r17HxpLZh51nTL7TbLTh/m+/QzS0tKM63Tr1i2cnJyMsvsTNYcOHcLT0/Oxx/BPS01NpWbNmixZsiRDmbu7e6ZtsvPfQnZk9ts8eOxhv5WdnR12dnZPJBYREREREbFOjzVjoHz58jg4OLBt27YnFoCPjw9paWkWN8GXLl0iLi6OihUr/ul+q1evzp07d7hw4QKenp4Wn3u78N9/rFChQsDdJ7gPG1+JEiVo0qQJS5YsYcmSJTz77LNG28KFC1OsWDFOnTqV4ZxlypQBoHjx4sax0qVLAxAVFUX9+vV54403qF69Op6enhZPqvPmzUvRokUtrlFaWhoHDx7809fnr/D09CQmJgaAhg0bEhYWxpUrV7hy5YqxaeLRo0d5/fXXGTZsGABly5YlT5487N+/3+gnOTmZEydOGN+z87fg4+NDVFSURTxRUVF4eXmRK1cuvL29SUtL4/Dhw0b5yZMnjZkLmalRowbx8fEUKlQow++W1Wscq1Spwu7duy32wbjH1dWVYsWKZRrnX/mbFhERERER+Ts8VmLA3t6eESNGMHz4cBYtWkRCQgI//PADn3322Z8OoHz58rRv355+/frx3XffceTIEV566SWKFy9O+/bt/3S/Xl5eBAQE0LNnT1avXs3p06fZt28fkydPZsOGDVm2GzNmDMuWLWPMmDHExsYSExPD1KlTLeoEBASwfPlyVqxYYSwjuGfcuHFMnjyZWbNmceLECWJiYliwYAEzZsx46DU4cOAAW7Zs4cSJEwQHB1vcQAO89dZbTJkyhbVr13L8+HHeeOMN400C/7SOHTsye/ZsAMaOHcutW7dwc3OjRIkS1K1bl7Nnz9KyZUvefPNNAgMDAXBxcaFXr14MGzaMHTt2cPToUfr27YuNjY3xpDw7fwtDhw5l27ZtTJgwgRMnTrBw4UI++ugjY3PEChUq0KJFC/r378++ffs4fPgw/fv3f+hMlYCAAAoWLEj79u3ZvXs3p0+fJjIykkGDBvHTTz8BsGbNGipUqGC0GThwICkpKXTr1o0DBw4QHx/P4sWLiYuLA2DYsGFMnTqVL7/8kri4ON555x2io6N56623nvwPIiIiIiIi8hc89lsJgoODGTp0KCEhIfj4+PDiiy8+dA10dixYsICaNWvSpk0b6tWrh9lsZuPGjZmu337cfnv27MnQoUPx9vamQ4cO7N+/n1KlSmXZxs/PjxUrVhAREUG1atVo1qwZ+/bts6jTuXNnLl26xI0bN+jQoYNF2SuvvML8+fNZsGABvr6+NGnShPDwcGPGQGZeffVVOnXqxIsvvkjdunW5dOkSb7zxhkWdoUOH8vLLL9OrVy9jucG91yj+0wYPHsy2bduYP38+BQsW5LvvvuPXX3/l4sWLTJgwgV9++YVz587Rv39/i3YzZsygXr16tGnThhYtWtCgQQPjtY73POpvoUaNGnz11VcsX76cypUrExISwvjx440EBMCiRYsoXLgwjRs3pmPHjvTr1w8XFxeL89zP0dGRXbt2UapUKTp16oSPjw99+/bljz/+MJaYJCcnGzf9cHfvg+3bt5OamkqTJk2oWbMm8+bNM+IcNGgQQ4YMYejQofj6+rJ582YiIiIoX778E/kNREREREREnhST+f7F4yLZdPjwYZ5//nmaNWvGoEGDqFGjBrlz5yY+Pp4PP/yQX375xeJ1i5m5fv06xYsXZ/r06fTt2/dvi/Wnn36iZMmSfPvttw/dWPJpkJKScnf5Q/FRYJN5IuTfypwYnNMhiIiIiIg8Ne7dGyQnJxsPPLPy2DMGRODuHg7R0dG4ubnRtm1b7OzsyJMnD8888wxpaWnMmjUrQ5vDhw+zbNkyEhISOHTokLEM468sGcnM9u3biYiI4PTp03z//fd069YNDw8PGjdu/ETPIyIiIiIi8jR4rLcSiNyvUKFChIWFMXPmTC5evEhaWhpFihTBxibrfFNoaChxcXHY2tpSs2ZNdu/eTcGCBZ9oXLdv32bUqFGcOnUKFxcX6tevz5IlS/7y0hQREREREZGnkZYSiDxFtJRARERERERASwlEREREREREJJuUGBARERERERGxYkoMiIiIiIiIiFgxJQZERERERERErJjeSiDyFEo+NuKRG4yIiIiIiIiAZgyIiIiIiIiIWDUlBkRERERERESsmBIDIiIiIiIiIlZMiQERERERERERK6bEgIiIiIiIiIgVU2JARERERERExIrpdYUiT6G8FaeCjX1Oh/GXmBODczoEERERERGroBkDIiIiIiIiIlZMiQERERERERERK6bEgIiIiIiIiIgVU2JARERERERExIopMSAiIiIiIiJixZQYEBEREREREbFiSgyIiIiIiIiIWDElBkRERERERESsmBIDIiIiIiIiIlZMiYE/ycPDg5kzZ+Z0GP96fn5+DB48OKfDEBERERERkSwoMfAvERgYSIcOHf6Rc0VGRmIymbh69Wqm5bdv32bu3Lm0aNGC4sWLU6RIEerXr09oaCg3btx4rHOtXr2aCRMmPIGoRURERERE5O+QO6cDyEm3bt3C1tY2p8P4R92+ffuh5adOnaJ9+/bY2Njw+uuvU6VKFZydnTl+/DgLFixg9uzZbNmyBS8vr2ydr0CBAk8ibBEREREREfmbPFUzBvz8/Bg4cCADBw4kb968FCxYkODgYMxmM3B3+v+ECRPo2bMnrq6u9O/fH4BVq1ZRqVIl7Ozs8PDwYPr06Rb9XrhwgbZt2+Lg4ECZMmVYsmSJRfmZM2cwmUxER0cbx65evYrJZCIyMtI4dvToUdq0aYOrqysuLi40atSIhIQExo4dy8KFC/n6668xmUwW7X766Se6d+9OgQIFcHJyolatWuzdu9fo8+uvv6ZGjRrY29tTtmxZxo0bR1pamlFuMpn4+OOPadeuHU5OTvTr14+mTZsCkD9/fkwmE4GBgQAkJyfj7+9Px44diY6O5rXXXqN+/fpUqVKFrl27smnTJkaNGsVzzz3HlStXjHPMmTOH8uXLY29vT+HChencubPFb3L/UoKbN28SFBRE8eLFcXJyom7duhbXKDw8nHz58rF+/Xq8vb1xdHSkc+fO3Lhxg4ULF+Lh4UH+/PkZNGgQd+7ceex+t2zZgo+PD87OzrRs2ZKkpCSjTmRkJHXq1MHJyYl8+fLRoEEDzp49S1Ye9dt8/PHHlCtXDltbW7y9vVm8eLFFe5PJxKeffkqbNm1wdHTEx8eHPXv2cPLkSfz8/HBycqJ+/fokJCRkGYOIiIiIiMhf9dTNGFi4cCF9+/Zl3759HDhwgP79+1OqVCn69esHQGhoKCEhIYwZMwaAgwcP0rVrV8aOHcuLL77I999/zxtvvIGbm5txwxwYGMjPP//Mjh07yJMnD4MGDeLChQuPFdf58+dp3Lgxfn5+bN++HVdXV6KiokhLSyMoKIjY2FhSUlJYsGABcPdJe2pqKk2aNKF48eJERERQpEgRDh06RHp6OgC7d++mZ8+ezJo1y0gy3Et23BsfwNixY5kyZQozZ84kV65ctGvXjhdeeIG4uDhcXV1xcHAAYMqUKdSsWZPx48dz9epVBgwYwLZt2yhbtizdunVj06ZNbNq0iV27djFz5kzGjRvHgQMHGDRoEIsXL6Z+/fpcvnyZ3bt3Z3kdBg4cyLFjx1i+fDnFihVjzZo1tGzZkpiYGMqXLw/AjRs3mDVrFsuXL+fatWt06tSJjh07ki9fPjZu3MipU6d44YUXaNCgAS+++OJj9RsaGsrixYuxsbHhpZdeIigoiCVLlpCWlkaHDh3o168fy5Yt49atW+zbtw+TyZTpOB7126xZs4a33nqLmTNn0qJFC9avX0/v3r0pUaKEkZgBmDBhAjNmzGDGjBmMGDGCHj16ULZsWUaOHEmpUqXo06cPAwcOZNOmTZnGcfPmTW7evGl8T0lJyfLai4iIiIiIZOapSwyULFmSDz74AJPJhLe3NzExMXzwwQdGYqBZs2YMHTrUqB8QEEDz5s0JDg4GwMvLi2PHjvH+++8TGBjIiRMn2LRpE/v27aN27doAfPbZZ/j4+DxWXLNnzyZv3rwsX76cPHnyGOe6x8HBgZs3b1KkSBHjWHh4OBcvXmT//v3GlHxPT0+jfNy4cbzzzjv06tULgLJlyzJhwgSGDx9ukRjo0aMHvXv3Nr6fPn0agEKFCpEvXz7j+OLFi9m8eTMAQ4cO5fTp03z99ddcuHCB/v374+3tDdxNlIwePZpx48aRmJiIk5MTbdq0wcXFhdKlS1O9evVMr0FiYiILFiwgMTGRYsWKARAUFMTmzZtZsGABkyZNAu4ud7j3tB2gc+fOLF68mF9//RVnZ2cqVqxI06ZN2bFjBy+++OJj9fvJJ58Y/Q4cOJDx48cDd2+ok5OTadOmjVH+sN946dKlD/1tQkNDCQwM5I033gBgyJAh/PDDD4SGhlokBnr37k3Xrl0BGDFiBPXq1SM4OBh/f38A3nrrLYvf7kGTJ09m3LhxWZaLiIiIiIg8ylO1lADgmWeesXjKW69ePeLj441p57Vq1bKoHxsbS4MGDSyONWjQwGgTGxtL7ty5qVmzplFeoUIFixvq7IiOjqZRo0ZGUiC7bapXr57lOv0jR44wfvx4nJ2djU+/fv1ISkqy2CTwwTFn5vLly1y7do3KlSsDsG7dOkJDQ6lbty5t27Zl4MCBRt2iRYsaSwmeffZZSpcuTdmyZXn55ZdZsmRJlhsUxsTEcOfOHby8vCxi3rlzp8V0eUdHR+PmHKBw4cJ4eHjg7OxscezerI0/22/RokWNPgoUKEBgYCD+/v60bduWsLAwi2UGD3rUb5PV31VsbKzFsSpVqliMCcDX19fi2B9//JHlTICRI0eSnJxsfM6dO5dlzCIiIiIiIpl56mYMPIqTk9MT79PG5m5+5d5eBpBxk7970/Ufx6PapKamMm7cODp16pShzN7e3vh3dsaclpZm0ebWrVsW7e6/KT906JDxdNzFxYVDhw4RGRnJ1q1bCQkJYezYsezfvz9D8iQ1NZVcuXJx8OBBcuXKZVF2f/8PJk9MJlOmx+5N2/8r/d7/my1YsIBBgwaxefNmvvzyS959912++eYbnnnmGR70Z37PzNwf072EVmbH7o31QXZ2dtjZ2T2RWERERERExDo9dTMG7t/8DeCHH36gfPnyGW4Y7/Hx8SEqKsriWFRUFF5eXuTKlYsKFSqQlpbGwYMHjfK4uDiLV/25u7sDWDxhvn8jQrj7ZHj37t1ZvhXA1tbWYjO9e22io6O5fPlypm1q1KhBXFwcnp6eGT73khVZnQuwOF/BggW5desWv/76KwANGzZk2rRp/P7775w/f5558+YB8P333zN69GiGDBlitM2dOzctWrRg2rRp/Pjjj5w5c4bt27dnOG/16tW5c+cOFy5cyBDv/UsoHteT7Ld69eqMHDmS77//nsqVK7N06dJM6z3qt8nq76pixYqPFY+IiIiIiMjf7alLDCQmJjJkyBDi4uJYtmwZH374IW+99VaW9YcOHcq2bduYMGECJ06cYOHChXz00UcEBQUB4O3tTcuWLXn11VfZu3cvBw8e5JVXXrF4Yuzg4MAzzzzDlClTiI2NZefOnbz77rsW5xk4cCApKSl069aNAwcOEB8fz+LFi4mLiwPuvjHhxx9/JC4ujt9++43bt2/TvXt3ihQpQocOHYiKiuLUqVOsWrWKPXv2ABASEsKiRYsYN24cR48eJTY2luXLl2c494NKly6NyWRi/fr1XLx4kdTUVGxsbGjXrh1z5swBICwsjMOHD+Ps7Iyvry/PPvssO3fupE+fPoSFhdG8eXMA1q9fz6xZs4iOjubs2bMsWrSI9PR0Yz+C+3l5eREQEEDPnj1ZvXo1p0+fZt++fUyePJkNGzY86qfN0pPo9/Tp04wcOZI9e/Zw9uxZtm7dSnx8vLHPwL59+6hQoQLnz58HeORvM2zYMMLDw/n444+Jj49nxowZrF692vi7EhERERER+bd46hIDPXv25Pfff6dOnToMGDCAt956y9ipPzM1atTgq6++Yvny5VSuXJmQkBDGjx9vvJEA7k4xL1asGE2aNKFTp07079+fQoUKWfTz+eefk5aWRs2aNRk8eDDvvfeeRbmbmxvbt283drOvWbMm8+bNM6aN9+vXD29vb2rVqoW7uztRUVHY2tqydetWChUqROvWrfH19WXKlCnG7Ad/f3/Wr1/P1q1bqV27Ns888wwffPABpUuXfug1Kl68uLFxYeHChY39A0JCQvjoo4/YtGkT5cqV49ixY5w/f56kpCQmTZrExYsXOX78OB06dDD6ypcvH6tXr6ZZs2b4+PjwySefsGzZMipVqpTpuRcsWEDPnj0ZOnQo3t7edOjQgf3791OqVKmHxvwof7VfR0dHjh8/zgsvvICXlxf9+/dnwIABvPrqq8DdNxrExcUZMz4e9dt06NCBsLAwQkNDqVSpEp9++ikLFizAz8/vL41TRERERETkSTOZ719k/R/n5+dHtWrVmDlzZk6H8p+1detWunXrxksvvUS/fv2MG/yYmBhCQ0Nxd3dnxowZORylZCUlJYW8efNC8VFgY//oBv9i5sTgnA5BREREROQ/6969QXJyMq6urg+t+9TNGJC/5rnnnuPgwYNcu3aNRo0aYWtri62tLa1ataJEiRKMHTs2p0MUERERERGRJ8jq3kogj1amTBkWLFjAZ599xq+//oqNjY3xKj0RERERERF5ujxViYHIyMicDuGpYmNjQ9GiRXM6DBEREREREfkbaSmBiIiIiIiIiBVTYkBERERERETEiikxICIiIiIiImLFlBgQERERERERsWJP1eaDInJX8rERj3xXqYiIiIiICGjGgIiIiIiIiIhVU2JARERERERExIopMSAiIiIiIiJixZQYEBEREREREbFiSgyIiIiIiIiIWDElBkRERERERESsmF5XKPIUyltxKtjY53QYf5k5MTinQxAREREReeppxoCIiIiIiIiIFVNiQERERERERMSKKTEgIiIiIiIiYsWUGBARERERERGxYkoMiIiIiIiIiFgxJQZERERERERErJgSAyIiIiIiIiJWTIkBERERERERESumxMC/XGBgIB06dMjpMP6V/Pz8GDx4cE6HISIiIiIi8p+mxMA/SDeycOzYMV5//XV8fHxwc3OjfPny9OrViz179jx2X6tXr2bChAl/Q5QiIiIiIiLWQ4kB+cdMmTKFunXrkp6eTmhoKDt37mTBggWULVuWdu3aMXLkyMfqr0CBAri4uPxN0YqIiIiIiFgHJQb+IYGBgezcuZOwsDBMJhMmk4mEhAT69u1LmTJlcHBwwNvbm7CwsIf2c/PmTQYNGkShQoWwt7enYcOG7N+/3yi/cuUKAQEBuLu74+DgQPny5VmwYMFD+zx69Cht2rTB1dUVFxcXGjVqREJCghF3hw4dCA0NpWjRori5uTFgwABu375ttF+8eDG1atXCxcWFIkWK0KNHDy5cuGBxjtmzZzN//nwOHjzIp59+yvPPP0/lypVp2LAhY8aM4dixY2zZsoXp06dbtIuKisLPzw9HR0fy58+Pv78/V65cATLOwJgzZw7ly5fH3t6ewoUL07lzZ6MsPT2dadOm4enpiZ2dHaVKlWLixIlGeUxMDM2aNcPBwQE3Nzf69+9PamrqQ6/bunXrqF27Nvb29hQsWJCOHTta/A49e/Ykf/78ODo60qpVK+Lj443y8PBw8uXLx/r16/H29sbR0ZHOnTtz48YNFi5ciIeHB/nz52fQoEHcuXPnoXGIiIiIiIj8FUoM/EPCwsKoV68e/fr1IykpiaSkJEqUKEGJEiVYsWIFx44dIyQkhFGjRvHVV19l2c/w4cNZtWoVCxcu5NChQ3h6euLv78/ly5cBCA4O5tixY2zatInY2Fg+/vhjChYsmGV/58+fp3HjxtjZ2bF9+3YOHjxInz59SEtLM+rs2LGDhIQEduzYwcKFCwkPDyc8PNwov337NhMmTODIkSOsXbuWM2fOEBgYaJT/9ttvhISEsGbNGry8vFizZg2VK1emWLFivPvuuzz77LMcP36cZcuWMXHiRK5duwZAdHQ0zZs3p2LFiuzZs4fvvvuOtm3bZnqjfODAAQYNGsT48eOJi4tj8+bNNG7c2CgfOXIkU6ZMMa7P0qVLKVy4MADXr1/H39+f/Pnzs3//flasWMG3337LwIEDs7xuGzZsoGPHjrRu3ZrDhw+zbds26tSpY5QHBgZy4MABIiIi2LNnD2azmdatW1skVG7cuMGsWbNYvnw5mzdvJjIyko4dO7Jx40Y2btzI4sWL+fTTT1m5cmWWcdy8eZOUlBSLj4iIiIiIyOMwmc1mc04HYS38/PyoVq0aM2fOzLLOwIED+eWXX4ybwcDAQK5evcratWu5fv06+fPnJzw8nB49egB3b8o9PDwYPHgww4YNo127dhQsWJDPP/88WzGNGjWK5cuXExcXR548eTKUBwYGEhkZSUJCArly5QKga9eu2NjYsHz58kz7PHDgALVr1+batWs4Ozszb948tmzZwsqVK0lISKBSpUpMnz6dBg0a8NFHHxEeHs63336Ln58fjRo1YvTo0bRs2ZIePXqQmJjId99998jruXr1anr37s1PP/2UYXnBtWvXcHd356OPPuKVV17J0M+8efMYMWIE586dw8nJCYCNGzfStm1bfv75ZyOBcL/69etTtmxZvvjiiwxl8fHxeHl5ERUVRf369QG4dOkSJUuWZOHChXTp0oXw8HB69+7NyZMnKVeuHACvvfYaixcv5tdff8XZ2RmAli1b4uHhwSeffJLpNRg7dizjxo3LWFB8FNjYZ9rmv8ScGJzTIYiIiIiI/CelpKSQN29ekpOTcXV1fWhdzRjIYbNnz6ZmzZq4u7vj7OzM3LlzSUxMzLRuQkICt2/fpkGDBsaxPHnyUKdOHWJjYwF4/fXXWb58OdWqVWP48OF8//33Rt1WrVrh7OyMs7MzlSpVAu4+lW/UqFGmSYF7KlWqZCQFAIoWLWqxVODgwYO0bduWUqVK4eLiQpMmTQCMccTExBg3yFu2bKFx48YMGDCAatWqMWfOHOzs7Cz6vrdU4N6Mgex49tlnKV26NGXLluXll19myZIl3LhxA4DY2Fhu3ryZZV+xsbFUrVrVSAoANGjQgPT0dOLi4jJt87DYYmNjyZ07N3Xr1jWOubm54e3tbfxOAI6OjkZSAKBw4cJ4eHgYSYF7xx5clnG/kSNHkpycbHzOnTuXZV0REREREZHMKDGQg5YvX05QUBB9+/Zl69atREdH07t3b27duvWn+2zVqhVnz57l7bff5ueff6Z58+YEBQUBMH/+fKKjo4mOjmbjxo0AODg4PLLPB5MGJpOJ9PR04P+n4bu6urJkyRL279/PmjVrAIxxpKWlGee5deuWxQ24ra0ttra2wN19AKKjo/H09Mx2bPe4uLhw6NAhli1bRtGiRQkJCaFq1apcvXr1sfrJrifRZ2bX9WHXOjN2dna4urpafERERERERB6HEgP/IFtbW4v18femmr/xxhtUr14dT09PY9O/zJQrVw5bW1uioqKMY7dv32b//v1UrFjROObu7k6vXr344osvmDlzJnPnzgWgePHieHp64unpSenSpQGoUqUKu3fvtlj7/jiOHz/OpUuXmDJlCo0aNaJChQoZnnB7enoSExMDQMOGDdm6dSs//PADd+7c4aOPPuLq1aukpKQwdOhQihcvTu3atY3Ytm3blu1YcufOTYsWLZg2bRo//vgjZ86cYfv27ZQvXx4HB4cs+/Lx8eHIkSNcv37dOBYVFYWNjQ3e3t6ZtnlYbD4+PqSlpbF3717j2KVLl4iLi7P4nURERERERP4NlBj4B3l4eLB3717OnDnDb7/9Rvny5Tlw4ABbtmzhxIkTBAcHW7xh4EFOTk68/vrrDBs2jM2bN3Ps2DH69evHjRs36Nu3LwAhISF8/fXXnDx5kqNHj7J+/Xp8fHyy7HPgwIGkpKTQrVs3Dhw4QHx8PIsXL85yCv2DSpUqha2tLR9++CGnTp0iIiKCCRMmWNRp164dK1as4PLly9SqVYt33nmHRo0aYWdnx9atW6lZsybdunXjypUrxmwDuDtNfv/+/bzxxhv8+OOPHD9+nI8//pjffvstQxzr169n1qxZREdHc/bsWRYtWkR6ejre3t7Y29szYsQIhg8fzqJFi0hISOCHH37gs88+AyAgIAB7e3t69erF//73P3bs2MGbb77Jyy+/bOwvMHLkSHr27Gmcb8yYMSxbtowxY8YQGxtLTEwMU6dOBaB8+fK0b9+efv368d1333HkyBFeeuklihcvTvv27bN1XUVERERERP4pSgz8g4KCgsiVKxcVK1bE3d0df39/OnXqxIsvvkjdunW5dOkSb7zxxkP7mDJlCi+88AIvv/wyNWrU4OTJk2zZsoX8+fMDd2cljBw5kipVqtC4cWNy5cqV5SaBcHft+/bt20lNTaVJkybUrFmTefPmPXTPgfu5u7sTHh7OihUrqFixIlOmTCE0NNSijqenJ126dKF79+7cuHGD4OBgUlJS+Pnnn4mIiGDjxo1cvXrVeIXfPV5eXmzdupUjR45Qp04d6tWrx9dff03u3LkzxJEvXz5Wr15Ns2bN8PHx4ZNPPmHZsmXGXgrBwcEMHTqUkJAQfHx8ePHFF42ZDY6OjmzZsoXLly9Tu3ZtOnfuTPPmzfnoo4+M/pOSkiz2fvDz82PFihVERERQrVo1mjVrxr59+4zyBQsWULNmTdq0aUO9evUwm81s3Lgx29dVRERERETkn6K3Esg/4tatW3Tp0oX4+HhCQkJo1aoVefPm5erVq6xevZoZM2awefNmSpQokdOh/qfd23lUbyUQEREREbFuj/NWgoyPXkX+Bra2tqxdu5aFCxcydepUunfvjq2tLenp6TRq1IhZs2YpKSAiIiIiIpIDlBiQf4zJZCIwMJDAwEBSU1O5fPky7u7uf8tbA0RERERERCR7lBiQHOHs7Iyzs3NOhyEiIiIiImL1tPmgiIiIiIiIiBVTYkBERERERETEiikxICIiIiIiImLFlBgQERERERERsWLafFDkKZR8bMQj31UqIiIiIiICmjEgIiIiIiIiYtWUGBARERERERGxYkoMiIiIiIiIiFgxJQZERERERERErJgSAyIiIiIiIiJWTIkBERERERERESum1xWKPIXyVpwKNvY5HcYTY04MzukQRERERESeWpoxICIiIiIiImLFlBgQERERERERsWJKDIiIiIiIiIhYMSUGRERERERERKyYEgMiIiIiIiIiVkyJARERERERERErpsSAiIiIiIiIiBVTYkBERERERETEiikxICIiIiIiImLFlBh4inl4eDBz5sycDuNvEx4eTr58+YzvY8eOpVq1ajkWj4iIiIiIyH+REgPySH5+fgwePDjL8mPHjvH666/j4+ODm5sb5cuXp1evXuzZs+efC/IJOXPmDCaTiejo6JwORURERERE5B+hxIBk6datW4+sM2XKFOrWrUt6ejqhoaHs3LmTBQsWULZsWdq1a8fIkSMf2v7OnTukp6c/qZBFRERERETkMSkx8DdbuXIlvr6+ODg44ObmRosWLbh+/ToA8+fPx8fHB3t7eypUqMCcOXMs2v700090796dAgUK4OTkRK1atdi7dy8ACQkJtG/fnsKFC+Ps7Ezt2rX59ttvHxrL1atXeeWVV3B3d8fV1ZVmzZpx5MgRo/zeVPz58+dTpkwZ7O3tCQwMZOfOnYSFhWEymTCZTJw5cwaA2bNnM3/+fA4ePMinn37K888/T+XKlWnYsCFjxozh2LFjbNmyhenTpxvnuDf9PyIigooVK2JnZ0diYiI3b94kKCiI4sWL4+TkRN26dYmMjLSIPzw8nFKlSuHo6EjHjh25dOlSpuNcvHgxHh4e5M2bl27dunHt2jWjbPPmzTRs2JB8+fLh5uZGmzZtSEhIMMrLlCkDQPXq1TGZTPj5+WV5PY8ePUqbNm1wdXXFxcWFRo0aGX2lp6czfvx4SpQogZ2dHdWqVWPz5s1G23szE7766isaNWqEg4MDtWvX5sSJE+zfv59atWrh7OxMq1atuHjxYpYx3Lx5k5SUFIuPiIiIiIjI41Bi4G+UlJRE9+7d6dOnD7GxsURGRtKpUyfMZjNLliwhJCSEiRMnEhsby6RJkwgODmbhwoUApKam0qRJE86fP09ERARHjhxh+PDhxtP11NRUWrduzbZt2zh8+DAtW7akbdu2JCYmZhlPly5duHDhAps2beLgwYPUqFGD5s2bc/nyZaPOyZMnWbVqFatXryY6OpqwsDDq1atHv379SEpKIikpiZIlS/Lbb78REhLCmjVr8PLyYs2aNVSuXJlixYrx7rvv8uyzz3L8+HGWLVvGxIkTLW7Ob9y4wdSpU5k/fz5Hjx6lUKFCDBw4kD179rB8+XJ+/PFHunTpQsuWLYmPjwdg79699O3bl4EDBxIdHU3Tpk157733MowxISGBtWvXsn79etavX8/OnTuZMmWKUX79+nWGDBnCgQMH2LZtGzY2NnTs2NG4rvv27QPg22+/JSkpidWrV2d6Lc+fP0/jxo2xs7Nj+/btHDx4kD59+pCWlgZAWFgY06dPJzQ0lB9//BF/f3/atWtnjOeeMWPG8O6773Lo0CFy585Njx49GD58OGFhYezevZuTJ08SEhKS5W86efJk8ubNa3xKliyZZV0REREREZHMmMxmszmng3haHTp0iJo1a3LmzBlKly5tUebp6cmECRPo3r27cey9995j48aNfP/998ydO5egoCDOnDlDgQIFsnW+ypUr89prrzFw4EDg7uaDgwcPZvDgwXz33Xc8//zzXLhwATs7O4s4hg8fTv/+/Rk7diyTJk3i/PnzuLu7G3X8/PyoVq2axUaG8+bNY8uWLaxcuZKEhAQqVarE9OnTadCgAR999BHh4eF8++23+Pn50ahRI0aPHk3Lli0JDw+nd+/eREdHU7VqVQASExMpW7YsiYmJFCtWzDhHixYtqFOnDpMmTaJHjx4kJyezYcMGo7xbt25s3ryZq1evAndnPLz//vv88ssvuLi4ADB8+HB27drFDz/8kOk1++2333B3dycmJobKlStz5swZypQpw+HDhx+6keGoUaNYvnw5cXFx5MmTJ0N58eLFGTBgAKNGjTKO1alTh9q1azN79mzjPPPnz6dv374ALF++nO7du7Nt2zaaNWsG3F2qER4ezvHjxzON4+bNm9y8edP4npKScjc5UHwU2NhnGf9/jTkxOKdDEBERERH5T0lJSSFv3rwkJyfj6ur60Lq5/6GYrFLVqlVp3rw5vr6++Pv789xzz9G5c2dsbW1JSEigb9++9OvXz6iflpZG3rx5AYiOjqZ69epZJgVSU1MZO3YsGzZsICkpibS0NH7//fcsZwwcOXKE1NRU3NzcLI7//vvvFlPpS5cubZEUyEpMTAz169cHYMuWLTRu3JgBAwYAMGfOHJYtW2bULVq0KFeuXDG+29raUqVKFYu+7ty5g5eXl8U5bt68acQbGxtLx44dLcrr1atnMT0f7iZD7iUF7p37woULxvf4+HhCQkLYu3cvv/32mzFTIDExkcqVKz9y3PdER0fTqFGjTJMCKSkp/PzzzzRo0MDieIMGDSyWbgAW16Fw4cIA+Pr6Why7P/4H2dnZWSR6REREREREHpcSA3+jXLly8c033/D999+zdetWPvzwQ0aPHs26deuAu0/d69atm6ENgIODw0P7DgoK4ptvviE0NBRPT08cHBzo3LlzlhsGpqamUrRo0Qzr9gGLV/45OTlla2xpaWlGjLdu3bJoZ2tri62tLXB3rX10dDTDhg0zyh0cHDCZTBax5cqVi4MHDxrjv8fZ2Tlb8dzz4I26yWSy2Nywbdu2lC5dmnnz5lGsWDHS09OpXLlytjZavN+jfp8/E++9a/LgMW3OKCIiIiIifyclBv5mJpOJBg0a0KBBA0JCQihdujRRUVEUK1aMU6dOERAQkGm7KlWqMH/+fC5fvpzprIGoqCgCAwONp+ipqanGpoCZqVGjBr/88gu5c+fGw8PjscZga2vLnTt3LI55enoSExMDQMOGDRk9ejQ//PADtWvX5uOPP+bq1aukpKQwdOhQihcvTu3atbPsv3r16ty5c4cLFy7QqFGjTOv4+PgYGy/ek9XygKxcunSJuLg45s2bZ5znu+++yzBWIMN4H1SlShUWLlzI7du3MyQjXF1dKVasGFFRUTRp0sQ4HhUVRZ06dR4rZhERERERkb+bNh/8G+3du5dJkyZx4MABEhMTWb16NRcvXsTHx4dx48YxefJkZs2axYkTJ4iJiWHBggXMmDEDgO7du1OkSBE6dOhAVFQUp06dYtWqVezZsweA8uXLGxsEHjlyhB49ejz0yXKLFi2oV68eHTp0YOvWrZw5c4bvv/+e0aNHc+DAgYeOw8PDg71793LmzBlj+n27du1YsWIFly9fplatWrzzzjs0atQIOzs7tm7dSs2aNenWrRtXrlxhzZo1D+3fy8uLgIAAevbsyerVqzl9+jT79u1j8uTJxp4CgwYNYvPmzYSGhhIfH89HH32UYRnBo+TPnx83Nzfmzp3LyZMn2b59O0OGDLGoU6hQIRwcHNi8eTO//vorycnJAKxZs4YKFSoY9QYOHEhKSgrdunXjwIEDxMfHs3jxYuLi4gAYNmwYU6dO5csvvyQuLo533nmH6Oho3nrrrceKWURERERE5O+mxMDfyNXVlV27dtG6dWu8vLx49913mT59Oq1ateKVV15h/vz5LFiwAF9fX5o0aUJ4eLjxujxbW1u2bt1KoUKFaN26Nb6+vkyZMsWYaj9jxgzy589P/fr1adu2Lf7+/tSoUSPLWEwmExs3bqRx48b07t0bLy8vunXrxtmzZ4217VkJCgoiV65cVKxYEXd3dxITE/H09KRLly50796dGzduEBwcbKytj4iIYOPGjVy9etV4PeGjLFiwgJ49ezJ06FC8vb3p0KED+/fvp1SpUgA888wzzJs3j7CwMKpWrcrWrVt59913s/lL3GVjY8Py5cs5ePAglStX5u233+b999+3qJM7d25mzZrFp59+SrFixWjfvj0AycnJxk0/gJubG9u3bzfeHlGzZk3mzZtnzB4YNGgQQ4YMYejQofj6+rJ582YiIiIoX778Y8UsIiIiIiLyd9NbCeRPu3XrFl26dDE29GvVqhV58+bl6tWrrF69mhkzZrB582ZKlCiR06FajXs7j+qtBCIiIiIi1k1vJZB/hK2tLWvXrmXhwoVMnTqV7t27Y2trS3p6Oo0aNWLWrFlKCoiIiIiIiPzLKTEgf4nJZCIwMJDAwEBSU1O5fPky7u7uT2zXfhEREREREfl7KTEgT4yzs/Njv15QREREREREcpY2HxQRERERERGxYkoMiIiIiIiIiFgxJQZERERERERErJj2GBB5CiUfG/HIV5KIiIiIiIiAZgyIiIiIiIiIWDUlBkRERERERESsmBIDIiIiIiIiIlZMiQERERERERERK6bEgIiIiIiIiIgVU2JARERERERExIrpdYUiT6G8FaeCjX1Oh5FjzInBOR2CiIiIiMh/hmYMiIiIiIiIiFgxJQZERERERERErJgSAyIiIiIiIiJWTIkBERERERERESumxICIiIiIiIiIFVNiQERERERERMSKKTEgIiIiIiIiYsWUGBARERERERGxYkoMiIiIiIiIiFgxJQb+RTw8PJg5c2ZOh2EVTCYTa9euzekwREREREREcpwSA08hPz8/Bg8enCPn/uGHH+jVqxeenp64ubnh4+PD66+/ztGjR3MkHhEREREREXk4JQaeIrdu3cqxc6enp/Pmm2/SqlUrChcuzOzZs9m1axdz5szB2dmZhg0bMnv27L98ntu3bz+BaEVEREREROQeJQYesHLlSnx9fXFwcMDNzY0WLVpw/fp1AObPn4+Pjw/29vZUqFCBOXPmWLT96aef6N69OwUKFMDJyYlatWqxd+9eABISEmjfvj2FCxfG2dmZ2rVr8+233z40lqtXr/LKK6/g7u6Oq6srzZo148iRI0b52LFjqVatGvPnz6dMmTLY29sTGBjIzp07CQsLw2QyYTKZOHPmzEPPEx4eTr58+SyOrV27FpPJZHw/cuQITZs2xcXFBVdXV2rWrMmBAweM8hEjRrB3715iY2OZNm0a/v7+VKpUiaZNm/L+++9z4MABpk+fzsqVKy3O8/HHH1OuXDlsbW3x9vZm8eLFFuUmk4mPP/6Ydu3a4eTkxMSJE7lz5w59+/alTJkyODg44O3tTVhYWIZxff7551SqVAk7OzuKFi3KwIEDs7wG586do2vXruTLl48CBQrQvn37R163o0eP0qZNG1xdXXFxcaFRo0YkJCQAdxMl48ePp0SJEtjZ2VGtWjU2b95stD1z5gwmk4mvvvqKRo0a4eDgQO3atTlx4gT79++nVq1aODs706pVKy5evPjQOERERERERP4KJQbuk5SURPfu3enTpw+xsbFERkbSqVMnzGYzS5YsISQkhIkTJxIbG8ukSZMIDg5m4cKFAKSmptKkSRPOnz9PREQER44cYfjw4aSnpxvlrVu3Ztu2bRw+fJiWLVvStm1bEhMTs4ynS5cuXLhwgU2bNnHw4EFq1KhB8+bNuXz5slHn5MmTrFq1itWrVxMdHU1YWBj16tWjX79+JCUlkZSURMmSJf/ytQkICKBEiRLs37+fgwcP8s4775AnTx4Ajh07Rnh4OGvXrqVIkSJ8/PHHlC9fHg8PDz788EO8vb3JkycP8+bNY9iwYZjNZgDWrFnDW2+9xdChQ/nf//7Hq6++Su/evdmxY4fFuceOHUvHjh2JiYmhT58+pKenU6JECVasWMGxY8cICQlh1KhRfPXVV0abjz/+mAEDBtC/f39iYmKIiIjA09Mz07Hdvn0bf39/XFxc2L17N1FRUTg7O9OyZcssZ2GcP3+exo0bY2dnx/bt2zl48CB9+vQhLS0NgLCwMKZPn05oaCg//vgj/v7+tGvXjvj4eIt+xowZw7vvvsuhQ4fInTs3PXr0YPjw4YSFhbF7925OnjxJSEhIlr/LzZs3SUlJsfiIiIiIiIg8jtw5HcC/SVJSEmlpaXTq1InSpUsD4OvrC9y9gZs+fTqdOnUCoEyZMhw7doxPP/2UXr16sXTpUi5evMj+/fspUKAAgMWNaNWqValatarxfcKECaxZs4aIiIhMn2R/99137Nu3jwsXLmBnZwdAaGgoa9euZeXKlfTv3x+4u3xg0aJFuLu7G21tbW1xdHSkSJEiT+zaJCYmMmzYMCpUqABA+fLljbIlS5bQq1cvihUrxu7duwkKCmLevHlUqFCBMWPGkJCQQHp6Os2bNyctLY24uDgqVKhAaGgogYGBvPHGGwAMGTKEH374gdDQUJo2bWr036NHD3r37m0Rz7hx44x/lylThj179vDVV1/RtWtXAN577z2GDh3KW2+9ZdSrXbt2pmP78ssvSU9PZ/78+cYsiQULFpAvXz4iIyN57rnnMrSZPXs2efPmZfny5UaCxMvLyygPDQ1lxIgRdOvWDYCpU6eyY8cOZs6cabGkIigoCH9/fwDeeustunfvzrZt22jQoAEAffv2JTw8PNO4ASZPnmxxLURERERERB6XZgzcp2rVqjRv3hxfX1+6dOnCvHnzuHLlCtevXychIYG+ffvi7OxsfN577z1j6nh0dDTVq1c3kgIPSk1NJSgoCB8fH/Lly4ezszOxsbFZzhg4cuQIqampuLm5WZzz9OnTxjkBSpcubZEU+LsMGTKEV155hRYtWjBlyhSLGGJiYqhfvz4A69atIyAggB49elCjRg0++eQT7ty5Y9QtWrQoV65cASA2Nta4Ab6nQYMGxMbGWhyrVatWhnhmz55NzZo1cXd3x9nZmblz5xrX8sKFC/z88880b948W2M7cuQIJ0+exMXFxbjOBQoU4I8//rAY5/2io6Np1KiRkRS4X0pKCj///HO2xlalShXj34ULFwb+Pxl179iFCxeyjH3kyJEkJycbn3Pnzj16wCIiIiIiIvfRjIH75MqVi2+++Ybvv/+erVu38uGHHzJ69GjWrVsHwLx586hbt26GNgAODg4P7TsoKIhvvvmG0NBQPD09cXBwoHPnzllOVU9NTaVo0aJERkZmKLt/PwAnJ6fHGGHmbGxsjOn99zy4yd/YsWPp0aMHGzZsYNOmTYwZM4bly5fTsWNH0tLSjPHfunXLIiZnZ2fj39evXyc+Pp5y5co9VnwPjnH58uUEBQUxffp06tWrh4uLC++//76xn8OjfosHpaamUrNmTZYsWZKhLKuky+OeIyv3JxbuzVZ48Ni95SiZsbOzM2aUiIiIiIiI/BmaMfAAk8lEgwYNGDduHIcPH8bW1paoqCiKFSvGqVOn8PT0tPiUKVMGuPvkNzo62mL9//2ioqIIDAykY8eO+Pr6UqRIkYdublejRg1++eUXcufOneGcBQsWfOgYbG1tLZ7SP4q7uzvXrl0zNlmEu0/EH+Tl5cXbb7/N1q1b6dSpEwsWLADuLpmIiYkBoGHDhixfvpzjx49z+/ZtJk6cCMDFixfp06cP7du3p1ChQgD4+PgQFRVlcY6oqCgqVqz40HijoqKoX78+b7zxBtWrV8fT09Piyb6LiwseHh5s27YtW+OvUaMG8fHxFCpUKMO1zps3b6ZtqlSpwu7duzN9S4KrqyvFihX7U2MTERERERH5pykxcJ+9e/cyadIkDhw4QGJiIqtXr+bixYv4+Pgwbtw4Jk+ezKxZszhx4gQxMTEsWLCAGTNmANC9e3eKFClChw4diIqK4tSpU6xatYo9e/YAd9fk39sg8MiRI/To0eOhT4JbtGhBvXr16NChA1u3buXMmTN8//33jB492uJtAJnx8PBg7969nDlzht9+++2h5wGoW7cujo6OjBo1ioSEBJYuXWqxrv33339n4MCBREZGcvbsWaKioti/fz8+Pj4AdOzYkfnz53P79m1eeOEF2rVrR8WKFXF0dOTq1asUK1aMFi1aULx4cT755BOj32HDhhEeHs7HH39MfHw8M2bMYPXq1QQFBT003vLly3PgwAG2bNnCiRMnCA4OZv/+/RZ1xo4dy/Tp05k1axbx8fEcOnSIDz/8MNP+AgICKFiwIO3bt2f37t2cPn2ayMhIBg0axE8//QTc3Sjx3v4KAAMHDiQlJYVu3bpx4MAB4uPjWbx4MXFxccbYpk6dypdffklcXBzvvPMO0dHRFnseiIiIiIiI/BsoMXAfV1dXdu3aRevWrfHy8uLdd99l+vTptGrVildeeYX58+ezYMECfH19adKkCeHh4caMAVtbW7Zu3UqhQoVo3bo1vr6+TJkyxVhqMGPGDPLnz0/9+vVp27Yt/v7+1KhRI8tYTCYTGzdupHHjxvTu3RsvLy+6devG2bNnjbXoWQkKCiJXrlxUrFgRd3f3h775AKBAgQJ88cUXbNy4EV9fX5YtW8bYsWON8ly5cnHp0iV69uyJl5cXXbt2pVWrVsamd02bNsXT05N+/fqRnp7Op59+SnJyMr/++itz587lwIEDXL58mRkzZmBvb2/026FDB8LCwggNDaVSpUp8+umnLFiwAD8/v4fG++qrr9KpUydefPFF6taty6VLl4wNDO/p1asXM2fOZM6cOVSqVIk2bdpkeCPAPY6OjuzatYtSpUrRqVMnfHx86Nu3L3/88Qeurq4AJCcnGzf9AG5ubmzfvt14G0XNmjWZN2+esQxg0KBBDBkyhKFDh+Lr68vmzZuJiIiw2LRRRERERETk38BkfnBxucifcOXKFVq3bg3A6NGjadasGY6Ojly4cIElS5awaNEivvvuuyeyJ4JkLSUl5e7yh+KjwMb+0Q2eUubE4JwOQUREREQkR927N0hOTjYeeGZFMwbkicifPz87d+6ka9euDB06FCcnJ+zs7ChVqhSRkZF89tlnSgqIiIiIiIj8CykxYAVee+01i1ce3v957bXXnth5bG1tefvtt4mLi+Pq1aucPHmS5ORkvv7664cumxAREREREZGco6UEVuDChQukpKRkWubq6mq8JUD++7SU4C4tJRARERERa/c4Swly/0MxSQ4qVKiQbv5FREREREQkU1pKICIiIiIiImLFlBgQERERERERsWJKDIiIiIiIiIhYMe0xIPIUSj424pEbjIiIiIiIiIBmDIiIiIiIiIhYNSUGRERERERERKyYEgMiIiIiIiIiVkyJARERERERERErpsSAiIiIiIiIiBVTYkBERERERETEiul1hSJPobwVp4KNfU6HkePMicE5HYKIiIiIyL+eZgyIiIiIiIiIWDElBkRERERERESsmBIDIiIiIiIiIlZMiQERERERERERK6bEgIiIiIiIiIgVU2JARERERERExIopMSAiIiIiIiJixZQYEBEREREREbFiSgz8B4WHh5MvXz7j+9ixY6lWrdo/cm4/Pz8GDx78j5zrUZ50LA9ex8DAQDp06PDE+hcREREREfk3yp3TAchfFxQUxJtvvvlE+4yMjKRp06ZcuXLFIgmxevVq8uTJ80TPdU96ejorVqzgiy++4MiRI/z++++ULl2aNm3a8Oabb+Lm5mZR/0nH8ndcRxERERERkX87JQb+xW7duoWtre0j6zk7O+Ps7PwPRAQFChT4W/r97bff6Ny5M+fOnWPAgAEMGzaMAgUKcOrUKZYuXUrFihVZs2YN9evX/9ti+Sevo4iIiIiIyL/Ff3YpQXp6OtOmTcPT0xM7OztKlSrFxIkTqV+/PiNGjLCoe/HiRfLkycOuXbsAuHnzJkFBQRQvXhwnJyfq1q1LZGTkI8+5bt06ateujb29PQULFqRjx45G2ZUrV+jZsyf58+fH0dGRVq1aER8fb9F+1apVVKpUCTs7Ozw8PJg+fbpFuYeHBxMmTKBnz564urrSv39/4O7SgVKlSuHo6EjHjh25dOmSRbuspsCHhoZStGhR3NzcGDBgALdv3zbqLF68mFq1auHi4kKRIkXo0aMHFy5cAODMmTM0bdoUgPz582MymQgMDAQyTt9/1LjvLXvYsmULPj4+ODs707JlS5KSkow6aWlptGvXjnLlynH8+HGGDBlC48aNqVy5Mu3atWP58uV8/vnndOzYkVOnThntHozFw8ODSZMm0adPH1xcXChVqhRz5861uFY//fQT3bt3p0CBAjg5OVGrVi327t2b6XW8Z9y4cbi7u+Pq6sprr73GrVu3jLL09HQmT55MmTJlcHBwoGrVqqxcuTJDH/d71N/f2bNnadu2Lfnz58fJyYlKlSqxcePGh/YpIiIiIiLyZ/1nEwMjR45kypQpBAcHc+zYMZYuXUrhwoUJCAhg+fLlmM1mo+6XX35JsWLFaNSoEQADBw5kz549LF++nB9//JEuXbrQsmXLDDfy99uwYQMdO3akdevWHD58mG3btlGnTh2jPDAwkAMHDhAREcGePXswm820bt3auBk/ePAgXbt2pVu3bsTExDB27FiCg4MJDw+3OE9oaChVq1bl8OHDBAcHs3fvXvr27cvAgQOJjo6madOmvPfee4+8Pjt27CAhIYEdO3awcOFCwsPDLc51+/ZtJkyYwJEjR1i7di1nzpwxbv5LlizJqlWrAIiLiyMpKYmwsLBMz/OocQPcuHGD0NBQFi9ezK5du0hMTCQoKMgo/+yzzzCZTMydO5f09HTefPNNihcvTrVq1fj888+pVKkSzz//PP3792fcuHEPHff06dOpVasWhw8f5o033uD1118nLi4OgNTUVJo0acL58+eJiIjgyJEjDB8+nPT09Cz727ZtG7GxsURGRrJs2TJWr15tEcPkyZNZtGgRn3zyCUePHuXtt9/mpZdeYufOnVn2+ai/vwEDBnDz5k127dpFTEwMU6dOzXImw82bN0lJSbH4iIiIiIiIPA6T+f476P+Ia9eu4e7uzkcffcQrr7xiUXbx4kWKFSvG9u3bjURA/fr1ady4MVOmTCExMZGyZcuSmJhIsWLFjHYtWrSgTp06TJo0KdNz1q9fn7Jly/LFF19kKIuPj8fLy4uoqChjqvulS5coWbIkCxcupEuXLgQEBHDx4kW2bt1qtBs+fDgbNmzg6NGjwN0n3tWrV2fNmjVGnR49epCcnMyGDRuMY926dWPz5s1cvXoVuPuke+3atURHRwN3b9YjIyNJSEggV65cAHTt2hUbGxuWL1+e6fgOHDhA7dq1uXbtGs7OzlnuMeDn50e1atWYOXNmtsYdHh5O7969OXnyJOXKlQNgzpw5jB8/nl9++QWABg0aMHLkSNq0acOECRP44osv+PTTTzGbzbzxxhv8/vvvnDlzhoSEBBo0aGC0uz+We9evUaNGLF68GACz2UyRIkUYN24cr732GnPnziUoKIgzZ85kugwhs+u4bt06zp07h6OjIwCffPIJw4YNIzk5mdu3b1OgQAG+/fZb6tWrZ/TzyiuvcOPGDZYuXZrhHNn5+6tSpQovvPACY8aMyfS3ejDmTJMlxUeBjf0j2z/tzInBOR2CiIiIiEiOSElJIW/evCQnJ+Pq6vrQuv/JGQOxsbHcvHmT5s2bZyhzd3fnueeeY8mSJQCcPn2aPXv2EBAQAEBMTAx37tzBy8vLWFPu7OzMzp07SUhIALA4/tprrwEQHR2d6fnuxZM7d27q1q1rHHNzc8Pb25vY2FijToMGDSzaNWjQgPj4eO7cuWMcq1WrVoa+7+8XsLgJzUqlSpWMpABA0aJFjaUCcHcGQ9u2bSlVqhQuLi40adIEuHvjml3ZGTeAo6OjkRTILJaYmBgjsbBu3TrGjBmDn58fTZs25d1337Vod+XKlYfGVKVKFePfJpOJIkWKGOeKjo6mevXqj7U3QdWqVY2kANy99qmpqZw7d46TJ09y48YNnn32WYu/mUWLFhl/Sw/Kzt/foEGDeO+992jQoAFjxozhxx9/zDK+kSNHkpycbHzOnTuX7bGJiIiIiIjAf3TzQQcHh4eWBwQEMGjQID788EOWLl2Kr68vvr6+wN3p5Lly5eLgwYMWN86AMV373hNjwMisPOqcT4qTk9MT6efB3fpNJpMxZf769ev4+/vj7+/PkiVLcHd3JzExEX9/f4v1809KZrHcP1ElLS3NuL63bt2yuAb3T6E/dOgQnp6ej32ue+N+0r9hamoqcHeZSfHixS3K7OzssmzzqL+/V155BX9/fzZs2MDWrVuZPHky06dPz/SNCXZ2dlmeS0REREREJDv+kzMGypcvj4ODA9u2bcu0vH379vzxxx9s3ryZpUuXGrMFAKpXr86dO3e4cOECnp6eFp8iRYoAWBwrVKgQcPdJdFbn8/HxIS0tzdjEDu5OqY+Li6NixYpGnaioKIt2UVFReHl5ZbhBfLDv+/sF+OGHH7Ksnx3Hjx/n0qVLTJkyhUaNGlGhQgWLJ/iA8TaE+2czZBbbo8adHZ6ensTExADQsGFDwsLCuHLlCleuXDH2Njh69Civv/46w4YNy3a/D6pSpQrR0dFcvnw5223uvTbxnh9++AFnZ2dKlixJxYoVsbOzIzExMcPfUsmSJTPtLzt/f3B3n4fXXnuN1atXM3ToUObNm/enxy0iIiIiIvIw/8nEgL29PSNGjGD48OHGtO0ffviBzz77DLj71L1Dhw4EBwcTGxtL9+7djbZeXl4EBATQs2dPVq9ezenTp9m3bx+TJ0+2WMf/oDFjxrBs2TLGjBlDbGyssSkc3E1UtG/fnn79+vHdd99x5MgRXnrpJYoXL0779u0BGDp0KNu2bWPChAmcOHGChQsX8tFHH1lswpeZQYMGsXnzZkJDQ4mPj+ejjz5i8+bNf+n6lSpVCltbWz788ENOnTpFREQEEyZMsKhTunRpTCYT69ev5+LFi8bT8ftlZ9zZ0bFjR2bPng3cXTN/69Yt3NzcKFGiBHXr1uXs2bO0bNmSN99809gg8c/o3r07RYoUoUOHDkRFRXHq1ClWrVrFnj17smxz69Yt+vbty7Fjx9i4cSNjxoxh4MCB2NjY4OLiQlBQEG+//TYLFy4kISGBQ4cO8eGHH7Jw4UKjjwoVKhj7RmTn72/w4MFs2bKF06dPc+jQIXbs2IGPj8+fHreIiIiIiMjD/CcTAwDBwcEMHTqUkJAQfHx8ePHFFy2eegcEBHDkyBEaNWpEqVKlLNouWLCAnj17MnToULy9venQoQP79+/PUO9+fn5+rFixgoiICKpVq0azZs3Yt2+fRZ81a9akTZs21KtXD7PZzMaNG42p7TVq1OCrr75i+fLlVK5cmZCQEMaPH//IG91nnnmGefPmERYWRtWqVdm6davFuvs/w93dnfDwcFasWEHFihWZMmUKoaGhFnWKFy/OuHHjeOeddyhcuDADBw7MtK9HjTs7Bg8ezLZt25g/fz4FCxbku+++49dff+XixYtMmDCBX375hXPnzhmvb/yzbG1t2bp1K4UKFaJ169b4+voyZcqUh87YaN68OeXLl6dx48a8+OKLtGvXjrFjxxrlEyZMIDg4mMmTJ+Pj40PLli3ZsGEDZcqUMerExcWRnJxsfH/U39+dO3cYMGCA0Z+Xlxdz5sz5S2MXERERERHJyn/yrQTy9Dl8+DDPP/88zZo1Y9CgQdSoUYPcuXMTHx/Phx9+yC+//MJXX32V02H+693beVRvJbhLbyUQEREREWv11L+VQJ4+1atXJzo6Gjc3N9q2bYudnR158uThmWeeIS0tjVmzZuV0iCIiIiIiIk8lzRiQfx2z2czFixdJS0ujSJEi2Ngof5VdmjFgSTMGRERERMRaPc6Mgf/k6wrl6WYymYy3QYiIiIiIiMjfS49iRURERERERKyYEgMiIiIiIiIiVkyJARERERERERErpsSAiIiIiIiIiBXT5oMiT6HkYyMeufOoiIiIiIgIaMaAiIiIiIiIiFVTYkBERERERETEiikxICIiIiIiImLFlBgQERERERERsWJKDIiIiIiIiIhYMSUGRERERERERKyYXlco8hTKW3Eq2NjndBj/CubE4JwOQURERETkX00zBkRERERERESsmBIDIiIiIiIiIlZMiQERERERERERK6bEgIiIiIiIiIgVU2JARERERERExIopMSAiIiIiIiJixZQYEBEREREREbFiSgyIiIiIiIiIWDElBkRERERERESsmBID8p/i4eHBzJkz//bzREZGYjKZuHr16t9+LhERERERkZykxIDkqNu3bzN37lxatGhB8eLFKVKkCPXr1yc0NJQbN25kqL9//3769++f7f51gy8iIiIiIvJwuXM6AHm63Lp1C1tb22zVPXXqFO3bt8fGxobXX3+dKlWq4OzszPHjx1mwYAGzZ89my5YteHl5GW3c3d3/rtBFRERERESskmYMPAVWrlyJr68vDg4OuLm50aJFC65fvw7A/Pnz8fHxwd7engoVKjBnzhyLtj/99BPdu3enQIECODk5UatWLfbu3QtAYGAgHTp0sKg/ePBg/Pz8jO9+fn4MHDiQwYMHU7BgQfz9/QH43//+R6tWrXB2dqZw4cK8/PLL/Pbbb0a75ORk/P396dixI9HR0bz22mvUr1+fKlWq0LVrVzZt2sSoUaN47rnnuHLlitHuwaUEJpOJ+fPn07FjRxwdHSlfvjwREREAnDlzhqZNmwKQP39+TCYTgYGBAKSnpzN58mTKlCmDg4MDVatWZeXKlY913a9evcqrr75K4cKFsbe3p3Llyqxfv94oX7VqFZUqVcLOzg4PDw+mT59u0d7Dw4P33nuPnj174uzsTOnSpYmIiODixYu0b98eZ2dnqlSpwoEDB7KM4ebNm6SkpFh8REREREREHocSA/9xSUlJdO/enT59+hAbG0tkZCSdOnXCbDazZMkSQkJCmDhxIrGxsUyaNIng4GAWLlwIQGpqKk2aNOH8+fNERERw5MgRhg8fTnp6+mPFsHDhQmxtbYmKiuKTTz7h6tWrNGvWjOrVq3PgwAE2b97Mr7/+SteuXY02U6ZMoWbNmowfP57k5GQCAgKMZQSzZs2iVatW9OvXj0aNGj1yT4Fx48bRtWtXfvzxR1q3bk1AQACXL1+mZMmSrFq1CoC4uDiSkpIICwsDYPLkySxatIhPPvmEo0eP8vbbb/PSSy+xc+fObI05PT2dVq1aERUVxRdffMGxY8eYMmUKuXLlAuDgwYN07dqVbt26ERMTw9ixYwkODiY8PNyinw8++IAGDRpw+PBhnn/+eV5++WV69uzJSy+9xKFDhyhXrhw9e/bEbDZnGsfkyZPJmzev8SlZsmS24hcREREREblHSwn+45KSkkhLS6NTp06ULl0aAF9fXwDGjBnD9OnT6dSpEwBlypTh2LFjfPrpp/Tq1YulS5dy8eJF9u/fT4ECBQDw9PR87BjKly/PtGnTjO/vvfce1atXZ9KkScaxzz//nJIlS3LixAm8vLxYvHgxmzdvBmDo0KGcPn2ar7/+mgsXLtC/f3+8vb2Bu7MWRo8ezbhx47I8f2BgIN27dwdg0qRJzJo1i3379tGyZUtjXIUKFSJfvnzA3afskyZN4ttvv6VevXoAlC1blu+++45PP/2UJk2aPHLM3377Lfv27SM2NtZY6lC2bFmjfMaMGTRv3pzg4GAAvLy8OHbsGO+//74xawGgdevWvPrqqwCEhITw8ccfU7t2bbp06QLAiBEjqFevHr/++itFihTJEMfIkSMZMmSI8T0lJUXJAREREREReSxKDPzHVa1alebNm+Pr64u/vz/PPfccnTt3xtbWloSEBPr27Uu/fv2M+mlpaeTNmxeA6Ohoqlevbtw8/1k1a9a0+H7kyBF27NiBs7NzhroJCQkULFiQa9euUblyZQDWrVvH2rVrqVu3LgADBw7km2++AaBo0aIWSwkyU6VKFePfTk5OuLq6cuHChSzrnzx5khs3bvDss89aHL916xbVq1d/6LnuiY6OpkSJEhb7H9wvNjaW9u3bWxxr0KABM2fO5M6dO8bMgvtjL1y4MPD/iZ37j124cCHTxICdnR12dnbZillERERERCQzSgz8x+XKlYtvvvmG77//nq1bt/Lhhx8yevRo1q1bB8C8efOMG+772wA4ODg8tG8bG5sMU9hv376doZ6Tk5PF99TUVNq2bcvUqVMz1C1atCjXr1/H3t7eOHbr1i2LPu5PKBw6dOiRsxjy5Mlj8d1kMj10OURqaioAGzZsoHjx4hZl2b3JftS1y677YzeZTFkee9zlHSIiIiIiItmlxMBTwGQy0aBBAxo0aEBISAilS5cmKiqKYsWKcerUKQICAjJtV6VKFebPn8/ly5cznTXg7u7O//73P4tj0dHRGW7EH1SjRg1WrVqFh4cHuXNn/BNzcHDg1q1b/PrrrxQuXJiGDRsybdo0I5Z58+ZRsGBBvv/+e0aPHs3nn3/+GFfD0r03JNy5c8c4VrFiRezs7EhMTMzWsoHMVKlShZ9++slYGvEgHx8foqKiLI5FRUXh5eVlJGZERERERET+DbT54H/c3r17mTRpEgcOHCAxMZHVq1dz8eJFfHx8GDduHJMnT2bWrFmcOHGCmJgYFixYwIwZMwDo3r07RYoUoUOHDkRFRXHq1ClWrVrFnj17AGjWrBkHDhxg0aJFxMfHM2bMmAyJgswMGDCAy5cv0717d/bv309CQgJbtmyhd+/e3LlzBxsbG9q1a2e8ISEsLIzDhw/j7OyMr68vzz77LDt37qRPnz6EhYXRvHnzP319SpcujclkYv369Vy8eJHU1FRcXFwICgri7bffZuHChSQkJHDo0CE+/PBDY2PGB50/f54KFSqwb98+AJo0aULjxo154YUX+Oabbzh9+jSbNm2y2Ddh27ZtTJgwgRMnTrBw4UI++ugjgoKC/vRYRERERERE/g6aMfAf5+rqyq5du5g5cyYpKSmULl2a6dOn06pVKwAcHR15//33GTZsGE5OTvj6+jJ48GDg7tP0rVu3MnToUFq3bk1aWhoVK1Zk9uzZAPj7+xMcHMzw4cP5448/6NOnDz179iQmJuahMRUrVoyoqChGjBjBc889x82bNyldujQtW7bExuZuLiokJIQ6derwzDPP0KpVK44dO8Yvv/xC/vz5SU9PZ/To0RQsWPAvX5/ixYszbtw43nnnHXr37k3Pnj0JDw9nwoQJuLu7M3nyZE6dOkW+fPmoUaMGo0aNyrSf27dvExcXx40bN4xjq1atIigoiO7du3P9+nU8PT2ZMmUKcHfWxFdffUVISAgTJkygaNGijB8/3mLjQRERERERkX8Dkzmr96CJ/M22bt1Kt27deOmll+jXrx+VKlUCICYmhtDQUNzd3Y3ZDZI9KSkpdzeXLD4KbOwf3cAKmBODczoEEREREZF/3L17g+TkZFxdXR9aV0sJJMc899xzHDx4kGvXrtGoUSNsbW2xtbWlVatWlChRgrFjx+Z0iCIiIiIiIk89zRiQf4X09HR+/fVXbGxsjFf0yePTjIGMNGNARERERKzR48wY0B4D8q9gY2ND0aJFczoMERERERERq6OlBCIiIiIiIiJWTIkBERERERERESumxICIiIiIiIiIFdMeAyJPoeRjIx65wYiIiIiIiAhoxoCIiIiIiIiIVVNiQERERERERMSKKTEgIiIiIiIiYsWUGBARERERERGxYkoMiIiIiIiIiFgxJQZERERERERErJgSAyIiIiIiIiJWLHdOByAiT17eilPBxj6nw/jXMScG53QIIiIiIiL/OpoxICIiIiIiImLFlBgQERERERERsWJKDIiIiIiIiIhYMSUGRERERERERKyYEgMiIiIiIiIiVkyJARERERERERErpsSAiIiIiIiIiBVTYkBERERERETEiikxINlmMplYu3Ztjpx77NixVKtWLUfO/Vd4eHgwc+bMnA5DREREREQkS0oMSLYlJSXRqlUrAM6cOYPJZCI6OvpP9/fDDz/Qq1cvPD09cXNzw8fHh9dff52jR48+oYgfX2RkJCaTiatXr+ZYDCIiIiIiIv8kJQbkkW7dugVAkSJFsLOz+8v9paen8+abb9KqVSsKFy7M7Nmz2bVrF3PmzMHZ2ZmGDRsye/bsv3yev9O9ayIiIiIiIvJfp8TAv9TKlSvx9fXFwcEBNzc3WrRowfXr1wGYP38+Pj4+2NvbU6FCBebMmWPR9qeffqJ79+4UKFAAJycnatWqxd69ewEIDAykQ4cOFvUHDx6Mn5+f8d3Pz4+BAwcyePBgChYsiL+/P2C5lKBMmTIAVK9eHZPJhJ+fH7t27SJPnjz88ssvGfpv1KiR8X3EiBHs3buX2NhYpk2bhr+/P5UqVaJp06a8//77HDhwgOnTp7Ny5coM12Xx4sV4eHiQN29eunXrxrVr14yyzKbtV6tWjbFjxxrfTSYT8+fPp2PHjjg6OlK+fHkiIiKAu7MgmjZtCkD+/PkxmUwEBgY+9Jrc78KFC7Rt2xYHBwfKlCnDkiVLMtS5evUqr7zyCu7u7ri6utKsWTOOHDkCwIkTJzCZTBw/ftyizQcffEC5cuUy9CUiIiIiIvIkKDHwL5SUlET37t3p06cPsbGxREZG0qlTJ8xmM0uWLCEkJISJEycSGxvLpEmTCA4OZuHChQCkpqbSpEkTzp8/T0REBEeOHGH48OGkp6c/VgwLFy7E1taWqKgoPvnkkwzl+/btA+Dbb78lKSmJ1atX07hxY8qWLcvixYuNerdv32bJkiX06dMHgGPHjhEeHs7atWspUqQIH3/8MeXLl8fDw4MPP/wQb29v8uTJw7x58xg2bBhms9noKyEhgbVr17J+/XrWr1/Pzp07mTJlymNf33HjxtG1a1d+/PFHWrduTUBAAJcvX6ZkyZKsWrUKgLi4OJKSkggLC8v2NQkMDOTcuXPs2LGDlStXMmfOHC5cuGBRp0uXLly4cIFNmzZx8OBBatSoQfPmzbl8+TJeXl7UqlUrQ0JhyZIl9OjRI9Ox3Lx5k5SUFIuPiIiIiIjI48id0wFIRklJSaSlpdGpUydKly4NgK+vLwBjxoxh+vTpdOrUCbj75P7YsWN8+umn9OrVi6VLl3Lx4kX2799PgQIFAPD09HzsGMqXL8+0adOyLHd3dwfAzc2NIkWKGMf79u3LggULGDZsGADr1q3jjz/+oGvXrsDdm9xevXpRrFgxdu/eTVBQEPPmzaNChQqMGTOGhIQE0tPTad68OWlpacTFxVGhQgXg7hKE8PBwXFxcAHj55ZfZtm0bEydOfKyxBQYG0r17dwAmTZrErFmz2LdvHy1btjSuWaFChciXL1+2r8mJEyfYtGkT+/bto3bt2gB89tln+Pj4GHW+++479u3bx4ULF4wlGaGhoaxdu5aVK1fSv39/AgIC+Oijj5gwYYLR78GDB/niiy8yPe/kyZMZN27cY41fRERERETkfpox8C9UtWpVmjdvjq+vL126dGHevHlcuXKF69evk5CQQN++fXF2djY+7733HgkJCQBER0dTvXp14wb3z6pZs+afahcYGMjJkyf54YcfAAgPD6dr1644OTkBEBMTQ/369YG7SYOAgAB69OhBjRo1+OSTT7hz547RV9GiRbly5Yrx3cPDw0gK3Ct/8Il8dlSpUsX4t5OTE66urtnq5//Yu+/wns7/j+PPT5BBxIgRO4gQkcReMSK0sVdVqYqYtatmlRCrVFFi1R616lt7U22UGEGEkAiNEdoYNUKoEfH7w5Xz8yFmtdp+Xo/r+lyXc8593+d9nxN/nPe57/s875pER0eTNm1aszLFihUzSy4cPnyYxMREHB0dze7f6dOnjfvXokULzpw5Y1y/xYsXU7p0aSM58qSBAweSkJBg/M6dO/fCfoiIiIiIiDxOIwb+gdKkScO2bdvYvXs3W7duZfLkyQwaNIh169YBMGvWLCpUqPBUHQA7O7vntm1lZWU2PB8eDfd/UsqD/KvKkSMHDRo0YN68eRQsWJBNmzYREhJiHE9KSjJivHfvntl57O3tjX/funWLkydPms2tT5cundm5TCaT2RSJl+3bi9p5lte9JikSExPJlSuX2fVIkZJAcHJywtfXlyVLllCxYkWWLFlCly5dntmmjY3NG1kQUkRERERELJdGDPxDmUwmvL29GTZsGIcOHTLmtufOnZtTp07h4uJi9ktZDNDT05OIiAiuXr2aarvZs2cnPj7ebN/rfHLQ2toawOwNf4oOHTrw3XffMXPmTAoXLoy3t7dxzMXFhcjISACqVKnCsmXLOH78OPfv3zemBFy+fJl27drRqFEjcuTI8dIxPdm3GzducPr06TfWr+cpVqwYSUlJHDx40NgXExNj9tnD0qVLc+HCBdKmTfvU/cuWLZtRrlWrVnz33Xfs2bOHU6dO0aJFi1eKRURERERE5FUoMfAPtG/fPr744gsOHDhAXFwcK1eu5PLly7i5uTFs2DBGjx5NcHAwJ06cIDIyknnz5jFhwgQAWrZsiZOTE40bNyY0NJRTp06xYsUK9uzZA4Cvry8HDhxg4cKFnDx5kqFDh3L06NFXjjFHjhzY2dmxefNmLl68SEJCgnHMz88PBwcHRo4cSdu2bc3qNWnShNmzZ3P//n3ee+89GjZsSPHixUmfPj3Xr18nd+7c1KpVizx58qS6wN/z+Pr68u2337Jz504iIyNp06aNMZLiZRUoUACTycT69eu5fPkyiYmJzyxbrFgxVq1aBUDRokWpXbs2H3/8Mfv27ePgwYN06NDBbARHrVq1qFSpEo0bN2br1q2cOXOG3bt3M2jQIA4cOGCUa9q0KTdv3qRLly7UqFGD3Llzv1IfREREREREXoUSA/9ADg4O/Pzzz9StWxdXV1cGDx7M+PHjqVOnDh06dGD27NnMmzcPDw8Pqlevzvz5840RA9bW1mzdupUcOXJQt25dPDw8GDNmjPGA7OfnR2BgIP3796dcuXLcvHkTf3//V44xbdq0BAcHM2PGDHLnzk2jRo2MY1ZWVgQEBPDgwYOn2q5RowYuLi507NiR5ORkZsyYQUJCAhcvXmTmzJkcOHCAq1evMmHCBGxtbV8ppoEDB1K9enXq169PvXr1aNy48St/5i9PnjwMGzaMzz77jJw5c9K9e/dnlo2JiTFLiMybN4/cuXNTvXp1mjZtSqdOncxGPJhMJjZu3Ei1atVo27Ytrq6utGjRgrNnz5IzZ06jXMaMGWnQoAGHDx+mVatWrxS/iIiIiIjIqzI9fHJStsgb0L59ey5fvszatWufOnbt2jXq1q0LwKBBg/D19SV9+vRcunSJxYsXs3DhQnbt2vWn5/Rbohs3bpApUybI8zlYvVpixRI8jAt82yGIiIiIiPwtUp4NEhIScHBweG5ZLT4ob1RCQgKRkZEsWbIk1aQAQJYsWdixYwdTp06lT58+nDhxAmtra0wmE35+fsyZM0dJARERERERkb+JRgzIG+Xj40NYWBgff/wxX3/99UvVSUhI4MaNG+TIkUMr7P9JGjHwfBoxICIiIiKWQiMG5K1J7VN8L5IpU6ZHD7MiIiIiIiLyt9PigyIiIiIiIiIWTIkBEREREREREQumxICIiIiIiIiIBVNiQERERERERMSCafFBkf+ghKgBL1x5VEREREREBDRiQERERERERMSiKTEgIiIiIiIiYsGUGBARERERERGxYEoMiIiIiIiIiFgwJQZERERERERELJgSAyIiIiIiIiIWTJ8rFPkPylT8S7Cyfdth/Ks9jAt82yGIiIiIiPwtNGJARERERERExIIpMSAiIiIiIiJiwZQYEBEREREREbFgSgyIiIiIiIiIWDAlBkREREREREQsmBIDIiIiIiIiIhZMiQERERERERERC6bEgIiIiIiIiIgFs+jEgLOzMxMnTnzbYfxjBAUFUbJkybcdxl8uICCAxo0bv+0wRERERERE/hEsOjHwpv3bHzj79u3L9u3bje0/25/ExETGjx9PlSpVcHJyIk+ePPj6+jJjxgySkpLeQMQiIiIiIiLyZ6V92wH8Wffu3cPa2vpth/Gv9vDhQx48eIC9vT329vZvpM2DBw/SpEkTChQoQMeOHXFzcyNdunQcOXKEb775hm+++YYtW7aQI0eON3I+EREREREReT3/uBEDPj4+dO/ene7du5MpUyayZctGYGAgDx8+BB4N/x8xYgT+/v44ODjQqVMnAFasWIG7uzs2NjY4Ozszfvx4s3YvXbpEgwYNsLOzo2DBgixevNjs+JkzZzCZTERERBj7rl+/jslkIiQkxNh37Ngx6tevj4ODAxkzZqRq1arExsYSFBTEggULWLNmDSaT6al6j7t27RqtWrUie/bs2NnZUaRIEebNm2ccP3fuHM2bNydz5sxkzZqVRo0acebMGbM25s6da/Q3V65cdO/e/aX7ERISgslkYtOmTZQpUwYbGxt27dplNpXgWf3x9fU1zpXi8uXLWFtbG6MNzp49S926dQkMDGTnzp20adOG8uXLU6pUKdq0acPu3btp0KABderU4f79+0Y7EyZMwMPDgwwZMpAvXz66du1KYmKicXz+/PlkzpyZ1atXU6RIEWxtbfHz8+PcuXNGmZQ+zJgxg3z58pE+fXqaN29OQkJCqvcCIDk5mdGjR1OwYEHs7Ozw8vLi+++/f2Z5gLt37zJgwADy5cuHjY0NLi4uzJkzxzi+Y8cOypcvb9yfzz77zGyUhI+PDz169KBXr15kyZKFnDlzMmvWLG7dukXbtm3JmDEjLi4ubNq06blxiIiIiIiI/Fn/uMQAwIIFC0ibNi1hYWFMmjSJCRMmMHv2bOP4uHHj8PLy4tChQwQGBnLw4EGaN29OixYtiIyMJCgoiMDAQObPn2/UCQgI4Ny5c/z00098//33TJs2jUuXLr1SXL/++ivVqlXDxsaGH3/8kYMHD9KuXTuSkpLo27cvzZs3p3bt2sTHxxMfH0/lypVTbScwMJCoqCg2bdpEdHQ006dPJ1u2bADcv38fPz8/MmbMyM6dOwkNDcXe3p7atWtz7949AKZPn063bt3o1KkTkZGRrF27FhcXl1e8yvDZZ58xZswYoqOj8fT0NDv2rP506NCBJUuWcPfuXaPsokWLjGkCKe22bduWjh07cv78eerXr0+OHDnw8/NjxIgRdOnSheHDh5MhQwYWLVpktGNlZUVwcDDHjh1jwYIF/Pjjj/Tv398srtu3bzNq1CgWLlxIaGgo169fp0WLFmZlfvnlF5YvX866devYvHkzhw4domvXrs+8DqNHj2bhwoV88803HDt2jE8//ZSPPvqIHTt2PLOOv78/S5cuJTg4mOjoaGbMmGGMtvj111+pW7cu5cqV4/Dhw0yfPp05c+YwcuRIszYWLFhAtmzZCAsLo0ePHnTp0oX333+fypUrEx4ezrvvvkvr1q25ffv2M+O4e/cuN27cMPuJiIiIiIi8in/kVIJ8+fLx9ddfYzKZKFq0KJGRkXz99dd07NgRAF9fX/r06WOUb9WqFTVr1iQwMBAAV1dXoqKi+OqrrwgICODEiRNs2rSJsLAwypUrB8CcOXNwc3N7pbimTp1KpkyZWLZsGenSpTPOlcLOzo67d+/i5OT03Hbi4uIoVaoUZcuWBR6Ngkjx3XffkZyczOzZszGZTADMmzePzJkzExISwrvvvsvIkSPp06cPn3zyiVEvpV+vYvjw4bzzzjupHrO3t0+1P02bNqV79+6sWbOG5s2bA4/e5AcEBGAymUhMTGTDhg2cPn0agDZt2mBvb8/mzZuJjo6mc+fOvPfee8axLVu20LZtWwB69eplnMfZ2ZmRI0fSuXNnpk2bZuy/f/8+U6ZMoUKFCsCjh2s3NzfCwsIoX748AHfu3GHhwoXkyZMHgMmTJ1OvXj3Gjx//1L25e/cuX3zxBT/88AOVKlUCoFChQuzatYsZM2ZQvXr1p67NiRMnWL58Odu2baNWrVpGnRTTpk0jX758TJkyBZPJRLFixfjtt98YMGAAQ4YMwcrqUT7Oy8uLwYMHAzBw4EDGjBlDtmzZjL/zIUOGMH36dI4cOULFihVTvU+jR49m2LBhqR4TERERERF5Gf/IEQMVK1Y0HooBKlWqxMmTJ3nw4AGA8UCdIjo6Gm9vb7N93t7eRp3o6GjSpk1LmTJljOPFihUjc+bMrxRXREQEVatWNZICL6NOnTrG3H13d3cAunTpwrJlyyhZsiT9+/dn9+7dRvnDhw/zyy+/kDFjRqNe1qxZuXPnDrGxsVy6dInffvuNmjVrvlLsqXnyOr4MW1tbWrduzdy5cwEIDw/n6NGjBAQEAI8emp2dnXF0dOTWrVv8+OOPTJ8+ndKlS9OqVSuzt/u5cuXi2rVrxvYPP/xAzZo1yZMnDxkzZqR169ZcuXLF7I152rRpzZIgKfcxOjra2Jc/f34jKQCP/n6Sk5OJiYl5qj+//PILt2/f5p133jGut729PQsXLiQ2NjbVaxAREUGaNGlSTRrAo7/HSpUqmf0Ne3t7k5iYyPnz5419j4/SSJMmDY6Ojnh4eBj7cubMCfDckS0DBw4kISHB+D0+rUJERERERORl/CNHDLxIhgwZ3nibKW9xU9YyAMzmv8OjEQGvavbs2fzxxx8ARkKhTp06nD17lo0bN7Jt2zZq1qxJt27dGDduHImJiZQpU+apNRAAsmfPbsT5Z/qR4nWvY4cOHShZsiTnz59n3rx5+Pr6UqBAAQCSkpKM65Ry3sfPY29vbyQDwsPDjSkQZ86coX79+nTp0oVRo0aRNWtWdu3aRfv27bl37x7p06d/rVhfJGUNgw0bNpglEwBsbGxSrfM6fwepeTLBZDKZzPalJBaSk5Of2YaNjc0z4xQREREREXkZ/8gRA/v27TPb3rt3L0WKFCFNmjSplndzcyM0NNRsX2hoKK6urqRJk4ZixYqRlJTEwYMHjeMxMTFcv37d2M6ePTsA8fHxxr7HF/CDR294d+7c+cwHbWtra2NUQ4o8efLg4uKCi4uL8fCccr42bdqwaNEiJk6cyMyZMwEoXbo0J0+eJEeOHEa9lF+mTJnImDEjzs7OZp8VfNzL9ONlpdYfAA8PD8qWLcusWbNYsmQJ7dq1M44VKlSIEydOcP/+fTJnzoy7uzujRo3i/v37HD9+nGXLlpGcnMyGDRuYOnWqsZDhwYMHSU5OZvz48VSsWBFXV1d+++23p86dlJTEgQMHjO2U+/j4tJC4uDizunv37sXKyoqiRYs+1V7x4sWxsbEhLi7uqeudL1++VK+Lh4cHycnJz1yDwM3NjT179pglZ0JDQ8mYMSN58+ZNtY6IiIiIiMjb8o9MDMTFxdG7d29iYmJYunQpkydPNptP/6Q+ffqwfft2RowYwYkTJ1iwYAFTpkyhb9++ABQtWpTatWvz8ccfs2/fPg4ePEiHDh3M3vza2dlRsWJFYzG+HTt2GPO/U3Tv3p0bN27QokULDhw4wMmTJ/n222+NIerOzs4cOXKEmJgYfv/992cmEIYMGcKaNWv45ZdfOHbsGOvXrzcebFu1akW2bNlo1KgRO3fu5PTp04SEhNCzZ09jGHpQUBDjx48nODiYkydPEh4ezuTJk1+6Hy/ref3p0KEDY8aM4eHDhzRp0sTYny1bNjw9PY1FBefNm8fSpUuxs7OjVq1aNGzYkEWLFjFkyBCWL19u9NvFxYX79+8zefJkTp06xbfffss333zzVEzp0qWjR48exn0MCAigYsWKxvoC8Gi6Q5s2bTh8+DA7d+6kZ8+eNG/ePNW1HzJmzEjfvn359NNPWbBgAbGxscb1XLBggVGuWLFirFq1yrgubdq0oV27dqxevdq4R8uXLwega9eunDt3jh49enD8+HHWrFnD0KFD6d279wtHfIiIiIiIiPzd/pFPKf7+/vzxxx+UL1+ebt268cknnxifJUxN6dKlWb58OcuWLaNEiRIMGTKE4cOHG/Pe4dEDau7cualevTpNmzalU6dO5MiRw6yduXPnkpSURJkyZejVq9dTq8g7Ojry448/kpiYSPXq1SlTpgyzZs0yhn937NiRokWLUrZsWbJnz/7UKIYU1tbWDBw4EE9PT6pVq0aaNGlYtmwZAOnTp+fnn38mf/78NG3aFDc3N9q3b8+dO3dwcHAAHi3aN3HiRKZNm4a7uzv169fn5MmTL92Pl/W8/rRs2ZK0adPSsmVLbG1tzeqNHj2avn37Eh4eTrly5YiLiyMuLo4zZ84wfvx4rl69ysGDB6latapRx8vLiwkTJvDll19SokQJFi9ezOjRo5+KKX369AwYMIAPP/wQb29v7O3t+e6778zKuLi40LRpU+rWrcu7776Lp6en2QKGTxoxYgSBgYGMHj0aNzc3ateuzYYNGyhYsKBRJiYmxuyTh9OnT6dZs2Z07dqVYsWK0bFjR27dugU8GiWyceNGwsLC8PLyonPnzrRv3/61EzQiIiIiIiJ/JdPDx8c7/wP4+PhQsmRJJk6c+LZDkec4c+YMhQsXZv/+/ZQuXfqp4wsWLOCTTz6hZ8+e+Pv7U7hwYR48eEBYWBijR4/G19eXTz/99JXOOX/+fHr16mU2BeRJQUFBrF69+rWnT/zb3bhxg0yZMkGez8HK9sUV5JkexgW+7RBERERERF5byrNBQkKC8ZL5Wf6RIwbkn+v+/ftcuHCBwYMHU7FixVSTAvBoVMPPP/9MVFQUXl5eWFtbY2Njw0cffUSVKlXo1q3b3xy5iIiIiIiIpOZf+VUCeXtCQ0OpUaMGrq6ufP/9988t6+npyffff09SUhIXL17ExsaGbNmy/U2RioiIiIiIyMv4x00lEJHXp6kEb46mEoiIiIjIv5mmEoiIiIiIiIjIS1FiQERERERERMSCKTEgIiIiIiIiYsGUGBARERERERGxYPoqgch/UELUgBcuMCIiIiIiIgIaMSAiIiIiIiJi0ZQYEBEREREREbFgSgyIiIiIiIiIWDAlBkREREREREQsmBIDIiIiIiIiIhZMiQERERERERERC6bPFYr8B2Uq/iVY2b7tMP7zHsYFvu0QRERERET+NI0YEBEREREREbFgSgyIiIiIiIiIWDAlBkREREREREQsmBIDIiIiIiIiIhZMiQERERERERERC6bEgIiIiIiIiIgFU2JARERERERExIIpMSAiIiIiIiJiwZQYEBEREREREbFgSgxYKB8fH3r16vW2w/hTgoKCKFmypLEdEBBA48aN31o8IiIiIiIi/0ZKDFiolStXMmLEiOeWOXPmDCaTiYiIiFSPJycn891339GgQQPy589P9uzZKVu2LEFBQVy5cuUviNpc37592b59+19+HhERERERkf+ytG87AHk7smbN+tzj9+7de+7x33//nWbNmnHu3Dm6detGv379yJo1K6dOnWLJkiUUL16cVatWUbly5TcZthl7e3vs7e3/svZFREREREQsgUYM/Iv5+PjQvXt3unfvTqZMmciWLRuBgYE8fPgQgGnTplGkSBFsbW3JmTMnzZo1M6v7+FQCZ2dnRowYgb+/Pw4ODnTq1ImCBQsCUKpUKUwmEz4+PgAkJSXRsGFDChcuzPHjx+nduzfVqlWjRIkSNGzYkGXLljF37lyaNGnCqVOnzM4xceJEsz6ULFmSoKAgAB4+fEhQUBD58+fHxsaG3Llz07Nnz2f2/8mpBCmGDRtG9uzZcXBwoHPnzmZJDh8fH3r06EGvXr3IkiULOXPmZNasWdy6dYu2bduSMWNGXFxc2LRp03Ov/d27dxkwYAD58uXDxsYGFxcX5syZYxzfsWMH5cuXx8bGhly5cvHZZ5+RlJT0l8Rx48YNs5+IiIiIiMirUGLgX27BggWkTZuWsLAwJk2axIQJE5g9ezYHDhygZ8+eDB8+nJiYGDZv3ky1atWe29a4cePw8vLi0KFDBAYGEhYWBsAPP/xAfHw8K1euBGDOnDmYTCZmzpxJcnIyPXr0IE+ePJQsWZK5c+fi7u5OvXr16NSpE8OGDXvpvqxYsYKvv/6aGTNmcPLkSVavXo2Hh8crXY/t27cTHR1NSEgIS5cuZeXKlU/FsGDBArJly0ZYWBg9evSgS5cuvP/++1SuXJnw8HDeffddWrduze3bt595Hn9/f5YuXUpwcDDR0dHMmDHDGL3w66+/UrduXcqVK8fhw4eZPn06c+bMYeTIkW88jtGjR5MpUybjly9fvle6XiIiIiIiIppK8C+XL18+vv76a0wmE0WLFiUyMpKvv/6akSNHkiFDBurXr0/GjBkpUKAApUqVem5bvr6+9OnTx9hOkyYNAI6Ojjg5ORn7Fy5cyMCBA0mTJg1ffPEFW7duZfHixTx8+JCuXbvyxx9/AI8WA/T29n7pvsTFxeHk5EStWrVIly4d+fPnp3z58q9yObC2tmbu3LmkT58ed3d3hg8fTr9+/RgxYgRWVo/yYF5eXgwePBiAgQMHMmbMGLJly0bHjh0BGDJkCNOnT+fIkSNUrFjxqXOcOHGC5cuXs23bNmrVqgVAoUKFjOPTpk0jX758TJkyBZPJRLFixfjtt98YMGAAQ4YMeWNxpNTr3bu3sX3jxg0lB0RERERE5JVoxMC/XMWKFTGZTMZ2pUqVOHnyJDVr1qRAgQIUKlSI1q1bs3jx4ue+eQYoW7bsS50zMjLSWDtg3bp1DB06FB8fH2rUqGE86ALkypWLa9euvXRf3n//ff744w8KFSpEx44dWbVqldnw+5fh5eVF+vTpje1KlSqRmJjIuXPnjH2enp7Gv9OkSYOjo6PZyIScOXMCcOnSpVTPERERQZo0aahevXqqx6Ojo6lUqZLZffH29iYxMZHz58+/sTgAbGxscHBwMPuJiIiIiIi8CiUG/qPs7e0JDw9n6dKl5MqViyFDhuDl5cX169efWSdDhgwv1XZSUhJ2dnbAo0UKH6/3+GKA4eHhuLi4GNtWVlbG+gcp7t+/b/w7X758xMTEMG3aNOzs7OjatSvVqlUzK/MmpEuXzmzbZDKZ7Ut5oE9OTk61fkrf33YcIiIiIiIib4ISA/9y+/btM9veu3cvRYoUIU2aNKRNm5ZatWoxduxYjhw5wpkzZ/jxxx9fum1ra2sAHjx4YLbfxcWFyMhIAKpUqcKkSZO4du0a165dY9KkSQAcO3aMLl260K9fP6Ne9uzZiY+PN7Zv3LjB6dOnzdq2s7OjQYMGBAcHExISwp49e4xzvYzDhw8bUxng0fWwt7d/o8PrPTw8SE5OZseOHaked3NzY8+ePWZJkNDQUDJmzEjevHnfWBwiIiIiIiJvghID/3JxcXH07t2bmJgYli5dyuTJk/nkk09Yv349wcHBREREcPbsWRYuXEhycjJFixZ96bZz5MiBnZ0dmzdv5uLFiyQkJADQpEkTpk6dCjz6MsC9e/dwdHQkb968VKhQgbNnz1K7dm169OhBQECA0Z6vry/ffvstO3fuJDIykjZt2hjrGADMnz+fOXPmcPToUU6dOsWiRYuws7OjQIECwKP59P7+/s+N+d69e7Rv356oqCg2btzI0KFD6d69uzGv/3UVK1aMVatWAY++rtCmTRvatWvH6tWrOX36NCEhISxfvhyArl27cu7cOXr06MHx48dZs2YNQ4cOpXfv3n86DhERERERkTdNiw/+y/n7+/PHH39Qvnx50qRJwyeffEKnTp0IDQ1l5cqVBAUFcefOHYoUKcLSpUtxd3d/6bbTpk1LcHAww4cPZ8iQIVStWpWQkBB69eqFh4cHs2fPpkOHDuzatYvLly+TIUMGrK2t6dWrlzE//nEDBw7k9OnT1K9fn0yZMjFixAizEQOZM2dmzJgx9O7dmwcPHuDh4cG6detwdHQEID4+nri4uOfGXLNmTYoUKUK1atW4e/cuLVu2ND6H+GfExMQYiRGA6dOn8/nnn9O1a1euXLlC/vz5+fzzzwHIkycPGzdupF+/fnh5eZE1a1bat29vtv6CiIiIiIjIP4Xp4ZOTvuVfw8fHh5IlSzJx4sS//dyHDh2iXr16+Pr60rNnT0qXLk3atGk5efIkkydP5sKFC8YbdPn73Lhxg0yZMkGez8HK9m2H85/3MC7wbYcgIiIiIpKqlGeDhISEFy5SrnHN8lpKlSpFREQEjo6ONGjQABsbG9KlS0fFihVJSkoiODj4bYcoIiIiIiIiL0FTCeS15ciRg0mTJjFx4kQuX75MUlISTk5OmkcvIiIiIiLyL6LEwL9YSEjI2w4BePRZvRw5crztMEREREREROQ16NWuiIiIiIiIiAVTYkBERERERETEgikxICIiIiIiImLBlBgQERERERERsWBafFDkPyghasALv1UqIiIiIiICGjEgIiIiIiIiYtGUGBARERERERGxYEoMiIiIiIiIiFgwJQZERERERERELJgSAyIiIiIiIiIWTIkBEREREREREQumzxWK/AdlKv4lWNm+7TAkFQ/jAt92CCIiIiIiZjRiQERERERERMSCKTEgIiIiIiIiYsGUGBARERERERGxYEoMiIiIiIiIiFgwJQZERERERERELJgSAyIiIiIiIiIWTIkBEREREREREQumxICIiIiIiIiIBVNiQPDx8aFXr15vO4wXOnPmDCaTiYiIiJeu82/pm4iIiIiIyNuixICwcuVKRowY8dwyL3ooT05O5rvvvqNBgwbkz5+f7NmzU7ZsWYKCgrhy5cpfELWIiIiIiIi8CWnfdgDy9mXNmvW5x+/du/fc47///jvNmjXj3LlzdOvWjX79+pE1a1ZOnTrFkiVLKF68OKtWraJy5cpvMmwRERERERF5AzRi4D/Cx8eH7t270717dzJlykS2bNkIDAzk4cOHAEybNo0iRYpga2tLzpw5adasmVndx4fbOzs7M2LECPz9/XFwcKBTp04ULFgQgFKlSmEymfDx8QEgKSmJhg0bUrhwYY4fP07v3r2pVq0aJUqUoGHDhixbtoy5c+fSpEkTTp06ZZxj8+bNVKlShcyZM+Po6Ej9+vWJjY0161NYWBilSpXC1taWsmXLcujQoaf6vWPHDsqXL4+NjQ25cuXis88+IykpyaxMUlLSM68LwN27d+nbty958uQhQ4YMVKhQgZCQkOde7+vXr/Pxxx+TM2dObG1tKVGiBOvXrzeOr1ixAnd3d2xsbHB2dmb8+PFm9Z2dnRk5ciT+/v7Y29tToEAB1q5dy+XLl2nUqBH29vZ4enpy4MCB58YhIiIiIiLyZykx8B+yYMEC0qZNS1hYGJMmTWLChAnMnj2bAwcO0LNnT4YPH05MTAybN2+mWrVqz21r3LhxeHl5cejQIQIDAwkLCwPghx9+ID4+npUrVwIwZ84cTCYTM2fOJDk5mR49epAnTx5KlizJ3LlzcXd3p169enTq1Ilhw4YZ7d+6dYvevXtz4MABtm/fjpWVFU2aNCE5ORmAxMRE6tevT/HixTl48CBBQUH07dvXLMZff/2VunXrUq5cOQ4fPsz06dOZM2cOI0eOfKnrkqJ79+7s2bOHZcuWceTIEd5//31q167NyZMnU702ycnJ1KlTh9DQUBYtWkRUVBRjxowhTZo0ABw8eJDmzZvTokULIiMjCQoKIjAwkPnz55u18/XXX+Pt7c2hQ4eoV68erVu3xt/fn48++ojw8HAKFy6Mv7+/WRLjSXfv3uXGjRtmPxERERERkVdhevi8pw751/Dx8eHSpUscO3YMk8kEwGeffcbatWsZOXIkbdu25fz582TMmDHVuiVLlmTixInAo7fZpUqVYtWqVUaZM2fOULBgQQ4dOkTJkiWN/d7e3gwcOJD69eszYsQIFi1axIwZM3j48CFdu3bljz/+4MyZM8TGxuLt7c2FCxdSjf/3338ne/bsREZGUqJECWbOnMnnn3/O+fPnsbW1BeCbb76hS5cuRgyDBg1ixYoVREdHG32eNm0aAwYMICEhASsrq+del6ioKOLi4ihUqBBxcXHkzp3biKdWrVqUL1+eL7744qlYt27dSp06dYiOjsbV1fWp461ateLy5cts3brV2Ne/f382bNjAsWPHjGtctWpVvv32WwAuXLhArly5CAwMZPjw4QDs3buXSpUqER8fj5OTU6rXLSgoyCzhYsjzOVjZplpH3q6HcYFvOwQRERERsQA3btwgU6ZMJCQk4ODg8NyyGjHwH1KxYkXj4RegUqVKnDx5kpo1a1KgQAEKFSpE69atWbx4Mbdv335uW2XLln2pc0ZGRhprB6xbt46hQ4fi4+NDjRo1GDx4sFEuV65cXLt2zdg+efIkLVu2pFChQjg4OODs7AxAXFwcANHR0Xh6ehpJgZT+PC46OppKlSqZ9dnb25vExETOnz//wuvy4MEDIiMjefDgAa6urtjb2xu/HTt2PDW1IUVERAR58+ZNNSmQEpe3t7fZPm9vb+OcKTw9PY1/58yZEwAPD4+n9l26dCnV8wAMHDiQhIQE43fu3LlnlhUREREREUmNFh+0APb29oSHhxMSEsLWrVsZMmQIQUFB7N+/n8yZM6daJ0OGDC/VdlJSEnZ2dsCjRQofr2dvb2/8Ozw8HBcXF2O7QYMGFChQgFmzZpE7d26Sk5MpUaLECxc6fNMSExNJkyYNBw8eNKYCpHg8/sel9PfPSpcunfHvlMRFavtSplekxsbGBhsbmzcSj4iIiIiIWCaNGPgP2bdvn9n23r17KVKkCGnSpCFt2rTUqlWLsWPHcuTIEc6cOcOPP/740m1bW1sDmL3xBnBxcSEyMhKAKlWqMGnSJK5du8a1a9eYNGkSAMeOHaNLly7069cPgCtXrhATE8PgwYOpWbMmbm5uZqMJANzc3Dhy5Ah37twx68+TZfbs2WM2Bz80NJSMGTOSN2/el7oupUqV4sGDB1y6dAkXFxez37OG73t6enL+/HlOnDiR6nE3NzdCQ0PN9oWGhuLq6vpU8kFERERERORtU2LgPyQuLo7evXsTExPD0qVLmTx5Mp988gnr168nODiYiIgIzp49y8KFC0lOTqZo0aIv3XaOHDmws7Nj8+bNXLx4kYSEBACaNGnC1KlTgUfz3e/du4ejoyN58+alQoUKnD17ltq1a9OjRw8CAgIAyJIlC46OjsycOZNffvmFH3/8kd69e5ud78MPP8RkMtGxY0eioqLYuHEj48aNMyvTtWtXzp07R48ePTh+/Dhr1qxh6NCh9O7dGyur///TftZ1AXB1daVVq1b4+/uzcuVKTp8+TVhYGKNHj2bDhg3Ao0UOixUrZizAWL16dapVq8Z7773Htm3bOH36NJs2bWLz5s0A9OnTh+3btzNixAhOnDjBggULmDJlylOLJ4qIiIiIiPwTKDHwH+Lv788ff/xB+fLl6datG5988gmdOnUic+bMrFy5El9fX9zc3Pjmm29YunQp7u7uL9122rRpCQ4OZsaMGeTOnZtGjRoB0KtXL7Zv387s2bPJli0bu3bt4uLFi1y+fJkRI0Zw4cIFzp07R6dOnYy2rKysWLZsGQcPHqREiRJ8+umnfPXVV2bns7e3Z926dURGRlKqVCkGDRrEl19+aVYmT548bNy4kbCwMLy8vOjcuTPt27c3W9vgedclxbx58/D396dPnz4ULVqUxo0bs3//fvLnzw/A/fv3iYmJMVuXYcWKFZQrV46WLVtSvHhx+vfvb4ymKF26NMuXL2fZsmWUKFGCIUOGMHz4cCMxIiIiIiIi8k+irxL8Rzz5ZYG/U8rn9nx9fenZsyelS5cmbdq0nDx5ksmTJ3PhwgWWL1/+t8dliVJWHtVXCf659FUCEREREfk76KsE8rcqVaoUERERODo60qBBA2xsbEiXLh0VK1YkKSmJ4ODgtx2iiIiIiIiIPIO+SiBvRI4cOZg0aRITJ07k8uXLJCUl4eTkZDbXX0RERERERP55lBj4jwgJCXnbIQCPPrGXI0eOtx2GiIiIiIiIvCS9zhURERERERGxYEoMiIiIiIiIiFgwJQZERERERERELJgSAyIiIiIiIiIWTIsPivwHJUQNeOG3SkVEREREREAjBkREREREREQsmhIDIiIiIiIiIhZMiQERERERERERC6bEgIiIiIiIiIgFU2JARERERERExIIpMSAiIiIiIiJiwfS5QpH/oEzFvwQr27cdhvyHPYwLfNshiIiIiMgbohEDIiIiIiIiIhZMiQERERERERERC6bEgIiIiIiIiIgFU2JARERERERExIIpMSAiIiIiIiJiwZQYEBEREREREbFgSgyIiIiIiIiIWDAlBkREREREREQsmBIDIiIiIiIiIhZMiYF/IWdnZyZOnPhG2zxz5gwmk4mIiIhUjycnJ/Pdd9/RoEED8ufPT/bs2SlbtixBQUFcuXLljcYiIiIiIiIif5+0bzsA+ef7/fffadasGefOnaNbt27069ePrFmzcurUKZYsWULx4sVZtWoVlStXftuhioiIiIiIyCvSiIG/QHJyMmPHjsXFxQUbGxvy58/PqFGjAIiMjMTX1xc7OzscHR3p1KkTiYmJRt2AgAAaN27MuHHjyJUrF46OjnTr1o379+8D4OPjw9mzZ/n0008xmUyYTCYArly5QsuWLcmTJw/p06fHw8ODpUuXvnRcBQsWBKBUqVKYTCZ8fHwASEpKomHDhhQuXJjjx4/Tu3dvqlWrRokSJWjYsCHLli1j7ty5NGnShFOnTgGwfv16MmfOzIMHDwCIiIjAZDLx2WefGbF06NCBjz76CID58+eTOXNmVq9eTZEiRbC1tcXPz49z584Z5Q8fPkyNGjXImDEjDg4OlClThgMHDhjHQ0ND8fHxIX369GTJkgU/Pz+uXbsGwObNm6lSpQqZM2fG0dGR+vXrExsba9RNGS2xcuVKatSoQfr06fHy8mLPnj3Pvc/Xr1/n448/JmfOnNja2lKiRAnWr19vHF+xYgXu7u7Y2Njg7OzM+PHjzeo7OzszcuRI/P39sbe3p0CBAqxdu5bLly/TqFEj7O3t8fT0NOuniIiIiIjIm6bEwF9g4MCBjBkzhsDAQKKioliyZAk5c+bk1q1b+Pn5kSVLFvbv38///vc/fvjhB7p3725W/6effiI2NpaffvqJBQsWMH/+fObPnw/AypUryZs3L8OHDyc+Pp74+HgA7ty5Q5kyZdiwYQNHjx6lU6dOtG7dmrCwsBfGBRjlfvjhB+Lj41m5ciUAc+bMwWQyMXPmTJKTk+nRowd58uShZMmSzJ07F3d3d+rVq0enTp0YNmwYAFWrVuXmzZscOnQIgB07dpAtWzZCQkKMWHbs2GEkHwBu377NqFGjWLhwIaGhoVy/fp0WLVoYx1u1akXevHnZv38/Bw8e5LPPPiNdunTAo8RDzZo1KV68OHv27GHXrl00aNDASEzcunWL3r17c+DAAbZv346VlRVNmjQhOTnZ7LoPGjSIvn37EhERgaurKy1btiQpKSnVe5ycnEydOnUIDQ1l0aJFREVFMWbMGNKkSQPAwYMHad68OS1atCAyMpKgoCACAwON+5ji66+/xtvbm0OHDlGvXj1at26Nv78/H330EeHh4RQuXBh/f38ePnyYahx3797lxo0bZj8REREREZFXYXr4rCcOeS03b94ke/bsTJkyhQ4dOpgdmzVrFgMGDODcuXNkyJABgI0bN9KgQQN+++03cubMSUBAACEhIcTGxhoPmc2bN8fKyoply5YBj9409+rVi169ej03lvr161OsWDHGjRv33Ljg0VvzggULcujQIUqWLGns9/b2ZuDAgdSvX58RI0awaNEiZsyYwcOHD+natSt//PEHZ86cITY2Fm9vby5cuABAmTJlaNmyJX379qVJkyaUK1eOYcOGceXKFRISEsibNy8nTpygSJEizJ8/n7Zt27J3714qVKgAwPHjx3Fzc2Pfvn2UL18eBwcHJk+eTJs2bZ6K/cMPPyQuLo5du3a91D36/fffyZ49O5GRkZQoUcLo++zZs2nfvj0AUVFRuLu7Ex0dTbFixZ5qY+vWrdSpU4fo6GhcXV2fOt6qVSsuX77M1q1bjX39+/dnw4YNHDt2DHh0H6tWrcq3334LwIULF8iVKxeBgYEMHz4cgL1791KpUiXi4+NxcnJ66jxBQUFGQsZMns/ByvalrofI63gYF/i2QxARERGR57hx4waZMmUiISEBBweH55bViIE3LDo6mrt371KzZs1Uj3l5eRlJAXj04J2cnExMTIyxz93d3UgKAOTKlYtLly4997wPHjxgxIgReHh4kDVrVuzt7dmyZQtxcXEvjOt5IiMjjbUD1q1bx9ChQ/Hx8aFGjRoMHjzYLMaUofsA1atXJyQkhIcPH7Jz506aNm2Km5sbu3btYseOHeTOnZsiRYoY5dOmTUu5cuWM7WLFipE5c2aio6MB6N27Nx06dKBWrVqMGTPGbCpAyoiBZzl58iQtW7akUKFCODg44OzsDGBcmxSenp5m/QGeed0jIiLImzdvqkkBeHS9vb29zfZ5e3tz8uRJYyTDk+dMGb3h4eHx1L5nxTFw4EASEhKM3+PTL0RERERERF6GEgNvmJ2d3Z9uI2WIfAqTyfTUsPcnffXVV0yaNIkBAwbw008/ERERgZ+fH/fu3ftTcSUlJRl17927Z5bUsLe3N/4dHh6Oi4uLse3j48OuXbs4fPgw6dKlo1ixYvj4+BASEsKOHTuoXr36K8URFBTEsWPHqFevHj/++KOx4OHL9K1BgwZcvXqVWbNmsW/fPvbt22f053GPX/eUtRuedd3fxH1+1jlfJQ4bGxscHBzMfiIiIiIiIq9CiYE3rEiRItjZ2bF9+/anjrm5uXH48GFu3bpl7AsNDcXKyoqiRYu+9Dmsra3N3jqntNOoUSM++ugjvLy8KFSoECdOnHipuFLaBJ5q18XFhcjISACqVKnCpEmTuHbtGteuXWPSpEkAHDt2jC5dutCvXz+jXso6A19//bWRBEhJDISEhJitLwCPEhCPL7IXExPD9evXcXNzM/a5urry6aefsnXrVpo2bcq8efOAR2/dn9WvK1euEBMTw+DBg6lZsyZubm5mIxtel6enJ+fPnze7xo9zc3MjNDTUbF9oaCiurq5mo0FERERERETeNiUG3jBbW1sGDBhA//79WbhwIbGxsezdu5c5c+bQqlUrbG1tadOmDUePHuWnn36iR48etG7d2hgy/jKcnZ35+eef+fXXX/n999+BRw/+27ZtY/fu3URHR/Pxxx9z8eLFl4oLIEeOHNjZ2bF582YuXrxIQkICAE2aNGHq1KnAo7f29+7dw9HRkbx581KhQgXOnj1L7dq16dGjBwEBAcb5smTJgqenJ4sXLzaSANWqVSM8PJwTJ048NWIgXbp09OjRg3379nHw4EECAgKoWLEi5cuX548//qB79+6EhIRw9uxZQkND2b9/v5E0GDhwIPv376dr164cOXKE48ePM336dH7//XeyZMmCo6MjM2fO5JdffuHHH3+kd+/er3ZTgV9//ZVixYoZizRWr16datWq8d5777Ft2zZOnz7Npk2b2Lx5MwB9+vRh+/btjBgxghMnTrBgwQKmTJlC3759X/ncIiIiIiIifyUlBv4CgYGB9OnThyFDhuDm5sYHH3zApUuXSJ8+PVu2bOHq1auUK1eOZs2aUbNmTaZMmfJK7Q8fPpwzZ85QuHBhsmfPDsDgwYMpXbo0fn5++Pj44OTkROPGjV8qLng0xz84OJgZM2aQO3duGjVqBECvXr3Yvn07s2fPJlu2bOzatYuLFy9y+fJlRowYwYULFzh37hydOnV6Ks7q1avz4MEDIzGQNWtWihcvjpOT01MjJNKnT8+AAQP48MMP8fb2xt7enu+++w6ANGnScOXKFfz9/XF1daV58+bUqVPHWHTP1dWVrVu3cvjwYcqXL0+lSpVYs2YNadOmNRZtPHjwICVKlODTTz/lq6++eqXrDXD//n1iYmK4ffu2sW/FihWUK1eOli1bUrx4cfr372+MuChdujTLly9n2bJllChRgiFDhjB8+HCz5ImIiIiIiMg/gb5KIC+U8ik9X19fevbsSenSpUmbNi0nT55k8uTJXLhwgeXLl792+/Pnz6dXr15cv379zQVtoVJWHtVXCeSvpq8SiIiIiPyz6asE8kaVKlWKiIgIHB0dadCgATY2NqRLl46KFSuSlJREcHDw2w5RREREREREXlPatx2A/DvkyJGDSZMmMXHiRC5fvkxSUhJOTk5YWSm3JCIiIiIi8m+mpzp5JSaTiRw5cpA7d+43lhQICAjQNAIREREREZG3RIkBEREREREREQumxICIiIiIiIiIBVNiQERERERERMSCKTEgIiIiIiIiYsH0VQKR/6CEqAEv/FapiIiIiIgIaMSAiIiIiIiIiEVTYkBERERERETEgikxICIiIiIiImLBlBgQERERERERsWBKDIiIiIiIiIhYMCUGRERERERERCyYPlco8h+UqfiXYGX7tsMQeWMexgW+7RBERERE/rM0YkBERERERETEgikxICIiIiIiImLBlBgQERERERERsWBKDIiIiIiIiIhYMCUGRERERERERCyYEgMiIiIiIiIiFkyJARERERERERELpsSAiIiIiIiIiAVTYkBERERERETEgikxIH+Z+fPnkzlz5rcdxguFhobi4eFBunTpaNy48dsOR0RERERE5G+lxICFun//PjNnzqRWrVrkyZMHJycnKleuzLhx47h9+/YbOccHH3zAiRMn3khbf6XevXtTsmRJTp8+zfz58wkKCqJkyZJvOywREREREZG/Rdq3HYC8Gffu3cPa2vqlyp46dYpGjRphZWVFly5d8PT0xN7enuPHjzNv3jymTp3Kli1bcHV1/VMx2dnZYWdn99r1X6VPf0ZsbCydO3cmb968f/m5RERERERE/mk0YuBP+P777/Hw8MDOzg5HR0dq1arFrVu3AJg9ezZubm7Y2tpSrFgxpk2bZlb3/PnztGzZkqxZs5IhQwbKli3Lvn37AAgICHhqSHuvXr3w8fExtn18fOjevTu9evUiW7Zs+Pn5AXD06FHq1KmDvb09OXPmpHXr1vz+++9GvYSEBPz8/GjSpAkRERF07tyZypUr4+npSfPmzdm0aROff/457777LteuXTPqOTs7M3LkSPz9/bG3t6dAgQKsXbuWy5cv06hRI+zt7fH09OTAgQNGndSmEqxbt45y5cpha2tLtmzZaNKkidk5RowYgb+/Pw4ODnTq1AmAFStW4O7ujo2NDc7OzowfP96szWnTplGkSBFsbW3JmTMnzZo1M47dvXuXnj17kiNHDmxtbalSpQr79+8H4MyZM5hMJq5cuUK7du0wmUzMnz+fYcOGcfjwYUwmk7HvWebOnWvElitXLrp3724ci4uLM66Ng4MDzZs35+LFi8bxlJEJc+fOJX/+/Njb29O1a1cePHjA2LFjcXJyIkeOHIwaNeqZ57979y43btww+4mIiIiIiLwKJQZeU3x8PC1btqRdu3ZER0cTEhJC06ZNefjwIYsXL2bIkCGMGjWK6OhovvjiCwIDA1mwYAEAiYmJVK9enV9//ZW1a9dy+PBh+vfvT3Jy8ivFsGDBAqytrQkNDeWbb77h+vXr+Pr6UqpUKQ4cOMDmzZu5ePEizZs3N+qMGTOGMmXKMHz4cBISEmjVqpUxjSA4OJg6derQsWNHqlatysSJE83O9/XXX+Pt7c2hQ4eoV68erVu3xt/fn48++ojw8HAKFy6Mv78/Dx8+TDXeDRs20KRJE+rWrcuhQ4fYvn075cuXNyszbtw4vLy8OHToEIGBgRw8eJDmzZvTokULIiMjCQoKIjAw0HhYP3DgAD179mT48OHExMSwefNmqlWrZrTXv39/VqxYwYIFCwgPD8fFxQU/Pz+uXr1Kvnz5iI+Px8HBgYkTJxIfH88HH3xAnz59cHd3Jz4+3tiXmunTp9OtWzc6depEZGQka9euxcXFBYDk5GQaNWrE1atX2bFjB9u2bePUqVNPtRUbG8umTZvYvHkzS5cuZc6cOdSrV4/z58+zY8cOvvzySwYPHmwkjZ40evRoMmXKZPzy5cuXajkREREREZFnMT181lOcPFd4eDhlypThzJkzFChQwOyYi4sLI0aMoGXLlsa+kSNHsnHjRnbv3s3MmTPp27cvZ86cIWvWrE+1HRAQwPXr11m9erWxr1evXkRERBASEgI8GjFw48YNwsPDzc6xc+dOtmzZYuw7f/48+fLlIyYmBldXV/LmzcvmzZspUaIE7du3Jzo6mq+//ppLly7RqVMnihYtSkhICNu3b2fQoEHs3bsXePQ2v2rVqnz77bcAXLhwgVy5chEYGMjw4cMB2Lt3L5UqVSI+Ph4nJyfmz59Pr169uH79OgCVK1emUKFCLFq0KNVr6uzsTKlSpVi1apWxr1WrVly+fJmtW7ca+/r378+GDRs4duwYK1eupG3btpw/f56MGTOatXfr1i2yZMnC/Pnz+fDDD4FHays4OzvTq1cv+vXrB0DmzJmZOHEiAQEBwKM3+atXryYiIiLVOFPkyZOHtm3bMnLkyKeObdu2jTp16nD69GnjYT0qKgp3d3fCwsIoV64cQUFBfPXVV1y4cMGIvXbt2sTExBAbG4uV1aO8XbFixQgICOCzzz576jx3797l7t27xvaNGzcenS/P52Bl+9z4Rf5NHsYFvu0QRERERP5Vbty4QaZMmUhISMDBweG5ZbXGwGvy8vKiZs2aeHh44Ofnx7vvvkuzZs2wtrYmNjaW9u3b07FjR6N8UlISmTJlAiAiIoJSpUqlmhR4FWXKlDHbPnz4MD/99BP29vZPlY2NjSVbtmzcvHmTEiVKAI+G9a9evZoKFSoA0L17d7Zt2wZArly5zKYSAHh6ehr/zpkzJwAeHh5P7bt06RJOTk5PxRAREWF2TVJTtmxZs+3o6GgaNWpkts/b25uJEyfy4MED3nnnHQoUKEChQoWoXbs2tWvXpkmTJqRPn57Y2Fju37+Pt7e3UTddunSUL1+e6Ojo58bxIpcuXeK3336jZs2aqR6Pjo4mX758Zm/wixcvTubMmYmOjqZcuXLAo2TI4wmNnDlzkiZNGiMpkLLv0qVLqZ7HxsYGGxubP9UXERERERGxbEoMvKY0adKwbds2du/ezdatW5k8eTKDBg1i3bp1AMyaNct44H68DvDCBfmsrKyeGo5///79p8plyJDBbDsxMZEGDRrw5ZdfPlU2V65c3Lp1C1vb/3+LfO/ePbM2Hk8opAy7f1y6dOmMf5tMpmfue9aUiJdZiPDJPr1IxowZCQ8PJyQkhK1btzJkyBCCgoKMdQT+Kn9mUcXHPX794NE1TG3fq04zEREREREReVlaY+BPMJlMeHt7M2zYMA4dOmTM98+dOzenTp3CxcXF7FewYEHg0Zv3iIgIrl69mmq72bNnJz4+3mzfi4a1A5QuXZpjx47h7Oz81LkzZMhAtmzZuHfvnrEAXpUqVRg7dix//PEHv/76K7NmzQJg9+7dDBo0iN69e/+Jq/M0T09Ptm/f/kp13NzcCA0NNdsXGhqKq6urkWhJmzYttWrVYuzYsRw5coQzZ87w448/UrhwYeOepLh//z779++nePHizzyntbU1Dx48eG5cGTNmxNnZ+Zn9cXNz49y5c5w7d87YFxUVxfXr1597bhERERERkb+bEgOvad++fXzxxRccOHCAuLg4Vq5cyeXLl3Fzc2PYsGGMHj2a4OBgTpw4QWRkJPPmzWPChAkAtGzZEicnJxo3bkxoaCinTp1ixYoV7NmzBwBfX18OHDjAwoULOXnyJEOHDuXo0aMvjKlbt25cvXqVli1bsn//fmJjY9myZQtt27blwYMHWFlZ0bBhQ+MLCZMmTeLQoUPY29vj4eHBO++8w44dO2jXrh2TJk165jD51zV06FCWLl3K0KFDiY6OJjIyMtXRDY/r06cP27dvZ8SIEZw4cYIFCxYwZcoU+vbtC8D69esJDg4mIiKCs2fPsnDhQpKTkylatCgZMmSgS5cu9OvXj82bNxMVFUXHjh25ffs27du3f+Y5nZ2dOX36NBEREfz+++/GHH5/f38GDhxolAsKCmL8+PEEBwdz8uRJwsPDmTx5MgC1atXCw8ODVq1aER4eTlhYGP7+/lSvXv2p6RIiIiIiIiJvk6YSvCYHBwd+/vlnJk6cyI0bNyhQoADjx4+nTp06AKRPn56vvvqKfv36kSFDBjw8POjVqxfw6I301q1b6dOnD3Xr1iUpKYnixYszdepUAPz8/AgMDKR///7cuXOHdu3a4e/vT2Rk5HNjyp07N6GhoQwYMIB3332Xu3fvUqBAAWrXrm3MWR8yZAjly5enYsWK1KlTh6ioKC5cuECWLFlITk5m0KBBZMuW7S+5Zj4+Pvzvf/9jxIgRjBkzBgcHB7MvCKSmdOnSLF++nCFDhjBixAhy5crF8OHDjYUCM2fOzMqVKwkKCuLOnTsUKVKEpUuX4u7uDjz6CkNycjKtW7fm5s2blC1bli1btpAlS5ZnnvO9995j5cqV1KhRg+vXrzNv3jwCAgKIi4szm/vfpk0b7ty5w9dff03fvn3Jli2b8alEk8nEmjVr6NGjB9WqVcPKyoratWsbiQMREREREZF/Cn2VwAJt3bqVFi1a8NFHH9GxY0fjIToyMpJx48aRPXt2Y3SD/LukrDyqrxLIf42+SiAiIiLyal7lqwSaSmCB3n33XQ4ePMjNmzepWrUq1tbWWFtbU6dOHfLmzUtQUNDbDlFERERERET+JhoxYOGSk5O5ePEiVlZWxucG5d9LIwbkv0ojBkRERERezauMGNAaAxbOysqKXLlyve0wRERERERE5C3RVAIRERERERERC6bEgIiIiIiIiIgFU2JARERERERExIIpMSAiIiIiIiJiwbT4oMh/UELUgBeuPCoiIiIiIgIaMSAiIiIiIiJi0ZQYEBEREREREbFgSgyIiIiIiIiIWDAlBkREREREREQsmBIDIiIiIiIiIhZMiQERERERERERC6bPFYr8B2Uq/iVY2b7tMET+sx7GBb7tEERERETeGI0YEBEREREREbFgSgyIiIiIiIiIWDAlBkREREREREQsmBIDIiIiIiIiIhZMiQERERERERERC6bEgIiIiIiIiIgFU2JARERERERExIIpMSAiIiIiIiJiwf7SxMD8+fPJnDmzsR0UFETJkiVfuR0fHx969eplbDs7OzNx4sQ/HV9ISAgmk4nr16//6bbk9Tx5b1/Hk39nIiIiIiIi8vL+1hEDffv2Zfv27X+6nf3799OpU6c3ENF/S2JiIuPHj6dKlSo4OTmRJ08efH19mTFjBklJSU+VN5lMrF69+u8P9A374IMPOHHixNsOQ0RERERE5F8p7d95Mnt7e+zt7f90O9mzZ38D0fwz3L9/n3Tp0v3pdg4ePEiTJk0oUKAAHTt2xM3NjXTp0nHkyBG++eYbvvnmG7Zs2UKOHDleqd179+5hbW39p+P7K9nZ2WFnZ/fa9f8NfRQREREREfmrvNKIgTNnzmAymZ76+fj4AI+GdOfPn5/06dPTpEkTrly5Ylb/ZaYS3Lp1C39/f+zt7cmVKxfjx49/qszjUwkePnxIUFAQ+fPnx8bGhty5c9OzZ0+j7N27dxkwYAD58uXDxsYGFxcX5syZ88zzr1ixAnd3d2xsbHB2dn7q/NOmTaNIkSLY2tqSM2dOmjVrlmpcKUqWLElQUJCxbTKZmD59Og0bNiRDhgyMGjUKgDVr1lC6dGlsbW0pVKgQw4YNM97yv6iPZ8+epW7dugQGBrJz507atGlD+fLlKVWqFG3atGH37t00aNCAOnXqcP/+fSNWgCZNmmAymYztlHs0e/ZsChYsiK2tLQDXr1+nQ4cOZM+eHQcHB3x9fTl8+LARQ0q9b7/9FmdnZzJlykSLFi24efPmK9/bkSNHGuUKFCjA2rVruXz5Mo0aNcLe3h5PT08OHDhg1EltKsG6desoV64ctra2ZMuWjSZNmpidY8SIEfj7++Pg4GCMPnnRvX9ScnIyY8eOxcXFBRsbG/Lnz2/cT4DIyEh8fX2xs7PD0dGRTp06kZiYaBwPCAigcePGfPHFF+TMmZPMmTMzfPhwkpKS6NevH1mzZiVv3rzMmzfvuXGIiIiIiIj8Ga+UGMiXLx/x8fHG79ChQzg6OlKtWjX27dtH+/bt6d69OxEREdSoUYORI0e+ckD9+vVjx44drFmzhq1btxISEkJ4ePgzy69YsYKvv/6aGTNmcPLkSVavXo2Hh4dx3N/fn6VLlxIcHEx0dDQzZsx45qiFgwcP0rx5c1q0aEFkZCRBQUEEBgYyf/58AA4cOEDPnj0ZPnw4MTExbN68mWrVqr1yH4OCgmjSpAmRkZG0a9eOnTt34u/vzyeffEJUVBQzZsxg/vz5xkPmi/r42Wef0bZtWzp27Mj58+epX78+OXLkwM/PjxEjRtClSxeGDx9OhgwZWLRoEfBoOgbAvHnziI+PN7YBfvnlF1asWMHKlSuJiIgA4P333+fSpUts2rSJgwcPUrp0aWrWrMnVq1eNerGxsaxevZr169ezfv16duzYwZgxY4zjL3tvv/76a7y9vTl06BD16tWjdevW+Pv789FHHxEeHk7hwoXx9/fn4cOHqV7fDRs20KRJE+rWrcuhQ4fYvn075cuXNyszbtw4vLy8OHToEIGBgS+896kZOHAgY8aMITAwkKioKJYsWULOnDmBR0kQPz8/smTJwv79+/nf//7HDz/8QPfu3c3a+PHHH/ntt9/4+eefmTBhAkOHDqV+/fpkyZKFffv20blzZz7++GPOnz+fagx3797lxo0bZj8REREREZFX8UpTCdKkSYOTkxMAd+7coXHjxlSqVImgoCA++ugjateuTf/+/QFwdXVl9+7dbN68+aXbT0xMZM6cOSxatIiaNWsCsGDBAvLmzfvMOnFxcTg5OVGrVi3SpUtH/vz5jYfAEydOsHz5crZt20atWrUAKFSo0DPbmjBhAjVr1iQwMNDoQ1RUFF999RUBAQHExcWRIUMG6tevT8aMGSlQoAClSpV66f6l+PDDD2nbtq2x3a5dOz777DPatGljxDhixAj69+/P0KFDn9vHxMRENmzYwOnTpwFo06YN9vb2bN68mejoaDp37sx7771nHNuyZQtt27Y1pmNkzpzZuKcp7t27x8KFC40yu3btIiwsjEuXLmFjYwM8erBevXo133//vfHGPTk5mfnz55MxY0YAWrduzfbt2xk1atQr3du6devy8ccfAzBkyBCmT59OuXLleP/99wEYMGAAlSpV4uLFi0/FDjBq1ChatGjBsGHDjH1eXl5mZXx9fenTp4+x3apVq+fe+yfdvHmTSZMmMWXKFOO+FS5cmCpVqgCwZMkS7ty5w8KFC8mQIQMAU6ZMoUGDBnz55ZdGAiFr1qwEBwdjZWVF0aJFGTt2LLdv3+bzzz8H/j/5sGvXLlq0aPFUHKNHjzbrp4iIiIiIyKt67cUH27Vrx82bN1myZAlWVlZER0dToUIFszKVKlV6Zv2dO3caaw7Y29uzePFiYmNjuXfvnlk7WbNmpWjRos9s5/333+ePP/6gUKFCdOzYkVWrVhlD8CMiIkiTJg3Vq1d/qT5FR0fj7e1tts/b25uTJ0/y4MED3nnnHQoUKEChQoVo3bo1ixcv5vbt2y/V9uPKli1rtn348GGGDx9udj06duxIfHw8t2/ffm4fT5w4gbOzM46Ojty6dYsff/yR6dOnU7p0aVq1amX2MJkrVy6uXbv2wvgKFChgto7D4cOHSUxMxNHR0SzG06dPExsba5RzdnY2kgIp57t06RLAK91bT09P498pD9CPj5BI2ZfS9pMiIiKM5MOzPHkPXnTvnxQdHc3du3efeZ7o6Gi8vLyMpEBKe8nJycTExBj73N3dsbL6//+GOXPmNOtrmjRpcHR0fGZfBw4cSEJCgvE7d+7cc3otIiIiIiLytNdafHDkyJFs2bKFsLAwswfBV1G2bFljmDo8eiA6derUK7eTL18+YmJi+OGHH9i2bRtdu3blq6++YseOHX9qQbrUZMyYkfDwcEJCQti6dStDhgwhKCiI/fv3kzlzZqysrJ4a3p4yp/9xjz8swqO3/sOGDaNp06ZPlbW1tX1uH5OSkox+ppzr8fbt7e2NZEB4eDguLi4v7Gdq8eXKlYuQkJCnyj4+t//JRRRNJhPJyckvPN+THm/HZDI9c9+z2n6Z+/5kH1/Vm/rbSu2avcp1tLGxMUZxiIiIiIiIvI5XHjGwYsUKhg8fzvLlyylcuLCx383NjX379pmV3bt37zPbsbOzw8XFxfhlzJiRwoULky5dOrN2rl279sJP0dnZ2dGgQQOCg4MJCQlhz549REZG4uHhQXJyMjt27Hipvrm5uREaGmq2LzQ0FFdXV9KkSQNA2rRpqVWrFmPHjuXIkSOcOXOGH3/8EXj0tYT4+Hij7o0bN4wh/s9TunRpYmJizK5Hyi/lbfKz+lioUCFOnDjB/fv3yZw5M+7u7owaNYr79+9z/Phxli1bRnJyMhs2bGDq1Klmc9zTpUuX6tvw1OK7cOECadOmfSq+bNmyvfjCwmvf29fh6en5yp/FfJl7/7giRYpgZ2f3zPO4ublx+PBhbt26ZdZeypQBERERERGRf4pXGjFw9OhR/P39GTBgAO7u7ly4cAEAa2trevbsibe3N+PGjaNRo0Zs2bLlldYXgEdvt9u3b0+/fv1wdHQkR44cDBo0yGyo9ZPmz5/PgwcPqFChAunTp2fRokXY2dlRoEABHB0dadOmDe3atSM4OBgvLy/Onj3LpUuXaN68+VNt9enTh3LlyjFixAg++OAD9uzZw5QpU5g2bRoA69ev59SpU1SrVo0sWbKwceNGkpOTjQc9X19f5s+fT4MGDcicOTNDhgxJ9aHySUOGDKF+/frkz5+fZs2aYWVlxeHDhzl69CgjR458YR89PT1ZtGgRbdu2Zd68eTRt2pQJEybg5OREw4YNmTVrFseOHWP58uW4ubkZ53V2dmb79u14e3tjY2NDlixZUo2vVq1aVKpUicaNGzN27FhcXV357bffjEX+nhyWn5rXubeva+jQodSsWZPChQvTokULkpKS2LhxIwMGDHhmnRfde4CaNWvSpEkTunfvjq2tLQMGDKB///5YW1vj7e3N5cuXOXbsGO3bt6dVq1YMHTqUNm3aEBQUxOXLl+nRowetW7c2pkKIiIiIiIj8E7zSU9mBAwe4ffs2I0eOJFeuXMavadOmVKxYkVmzZjFp0iS8vLzYunUrgwcPfuWAvvrqK6pWrUqDBg2oVasWVapUoUyZMs8snzlzZmbNmoW3tzeenp788MMPrFu3DkdHRwCmT59Os2bN6Nq1K8WKFaNjx45mb3EfV7p0aZYvX86yZcsoUaIEQ4YMYfjw4cbic5kzZ2blypX4+vri5ubGN998w9KlS3F3dwcezfeuXr069evXp169ejRu3NhsVMWz+Pn5sX79erZu3Uq5cuWoWLEiX3/9NQUKFHipPo4ePZq+ffsSHh5OuXLliIuLIy4ujjNnzjB+/HiuXr3KwYMHqVq1qtl5x48fz7Zt28iXL99zF1E0mUxs3LiRatWq0bZtW1xdXWnRogVnz559pYfcV723r8vHx4f//e9/rF27lpIlS+Lr60tYWNhz67zo3sOjdRJ+//13YzswMJA+ffowZMgQ3Nzc+OCDD4y1ANKnT8+WLVu4evUq5cqVo1mzZtSsWZMpU6a88f6KiIiIiIj8GaaHz/rmm/yrLFiwgE8++YSePXvi7+9P4cKFefDgAWFhYYwePRpfX18+/fTTtx2m/MVu3LhBpkyZIM/nYGX7tsMR+c96GBf4tkMQERERea6UZ4OEhAQcHByeW/bNj+OWt6JNmzb8/PPPREVF4eXlhbW1NTY2Nnz00UdUqVKFbt26ve0QRURERERE5B/otb5KIP9Mnp6efP/99yQlJXHx4kVsbGxeenFAERERERERsUxKDPwHpU2bljx58rztMERERERERORfQFMJRERERERERCyYEgMiIiIiIiIiFkyJARERERERERELpsSAiIiIiIiIiAXT4oMi/0EJUQNe+K1SERERERER0IgBEREREREREYumxICIiIiIiIiIBVNiQERERERERMSCKTEgIiIiIiIiYsGUGBARERERERGxYEoMiIiIiIiIiFgwfa5Q5D8oU/Evwcr2bYchIvKv8jAu8G2HICIi8lZoxICIiIiIiIiIBVNiQERERERERMSCKTEgIiIiIiIiYsGUGBARERERERGxYEoMiIiIiIiIiFgwJQZERERERERELJgSAyIiIiIiIiIWTIkBEREREREREQv2n0oMmEwmVq9e/bbDAODMmTOYTCYiIiJeus7fEb+Pjw+9evX6S8/xJgQFBVGyZMnnlnmda5yagIAAGjdu/KfaEBERERER+bdK+7YDeJPi4+PJkiUL8OihsWDBghw6dOiFD5j/FI/H/1dZuXIl6dKle+PtRkVFMXnyZEJCQrh06RJZs2alcuXKdO7cmUqVKr1ye3379qVHjx7GdkBAANevX//HJH5ERERERET+K/4TIwbu3bsHgJOTEzY2Nm85mtf3V8afco2yZs1KxowZ32jbY8aMoUKFCiQnJzNu3Dh27NjBvHnzKFSoEA0bNmTgwIGv3Ka9vT2Ojo5vNE4RERERERF52msnBr7//ns8PDyws7PD0dGRWrVqcevWLQBmz56Nm5sbtra2FCtWjGnTppnVPX/+PC1btiRr1qxkyJCBsmXLsm/fPiD1Yd29evXCx8fH2Pbx8aF79+706tWLbNmy4efnB5gPxS9YsCAApUqVwmQy4ePjw88//0y6dOm4cOHCU+1XrVr1mX3dvHkzVapUIXPmzDg6OlK/fn1iY2PNyoSFhVGqVClsbW0pW7Yshw4dMo4lJyeTN29epk+fblbn0KFDWFlZcfbs2afiv3fvHt27dydXrlzY2tpSoEABRo8ebdSNi4ujUaNG2Nvb4+DgQPPmzbl48aJxPGUo/uzZsylYsCC2trbGtXt8KsHdu3fp27cvefLkIUOGDFSoUIGQkBDj+NmzZ2nQoAFZsmQhQ4YMuLu7s3HjRuP41KlTmT17NgcPHmTGjBnUq1ePEiVKUKVKFYYOHUpUVBRbtmxh/PjxZn2fNWsW+fLlI3369DRp0oQJEyaQOXPmp+JP+feCBQtYs2YNJpMJk8lkFuOpU6eoUaMG6dOnx8vLiz179qTaToqJEyfi7OzMk4YNG0b27NlxcHCgc+fORjLlWUJDQ/Hx8SF9+vRkyZIFPz8/rl27ZlzXnj17kiNHDmxtbalSpQr79+836oaEhGAymdiyZQulSpXCzs4OX19fLl26xKZNm3Bzc8PBwYEPP/yQ27dvPzcOERERERGRP+O1EgPx8fG0bNmSdu3aER0dTUhICE2bNuXhw4csXryYIUOGMGrUKKKjo/niiy8IDAxkwYIFACQmJlK9enV+/fVX1q5dy+HDh+nfvz/JycmvFMOCBQuwtrYmNDSUb7755qnjYWFhAPzwww/Ex8ezcuVKqlWrRqFChfj222+Ncvfv32fx4sW0a9fumee6desWvXv35sCBA2zfvh0rKyuaNGlixJyYmEj9+vUpXrw4Bw8eJCgoiL59+xr1raysaNmyJUuWLDFrd/HixXh7e1OgQIGnzhkcHMzatWtZvnw5MTExLF682HiYTU5OplGjRly9epUdO3awbds2Tp06xQcffGDWxi+//MKKFStYuXLlM+fhd+/enT179rBs2TKOHDnC+++/T+3atTl58iQA3bp14+7du/z8889ERkby5ZdfYm9vD8Dvv//OkCFDWLVqFa6urqxatYoSJUqQO3duBg8ezDvvvMPx48dZunQpo0aN4ubNm8CjB+rOnTvzySefEBERwTvvvMOoUaOeef379u1L8+bNqV27NvHx8cTHx1O5cmXj+KBBg+jbty8RERG4urrSsmVLkpKSntlearZv3278LS9dupSVK1cybNiwZ5aPiIigZs2aFC9enD179rBr1y4aNGjAgwcPAOjfvz8rVqxgwYIFhIeH4+Ligp+fH1evXjVrJygoiClTprB7927OnTtH8+bNmThxIkuWLGHDhg1s3bqVyZMnPzOOu3fvcuPGDbOfiIiIiIjIq3itNQbi4+NJSkqiadOmxkOth4cHAEOHDmX8+PE0bdoUePTmPioqihkzZtCmTRuWLFnC5cuX2b9/P1mzZgXAxcXllWMoUqQIY8eOfebx7NmzA+Do6IiTk5Oxv3379sybN49+/foBsG7dOu7cuUPz5s2f2dZ7771ntj137lyyZ89OVFQUJUqUYMmSJSQnJzNnzhxsbW1xd3fn/PnzdOnSxajTqlUrxo8fT1xcHPnz5yc5OZlly5YxePDgVM8ZFxdHkSJFqFKlCiaTySx5sH37diIjIzl9+jT58uUDYOHChbi7u7N//37KlSsHPBp1sHDhQuNapHaOefPmERcXR+7cuYFHD+GbN29m3rx5fPHFF8TFxfHee+8Z97dQoUJG/VWrVlGjRg08PDyIjY2lZcuWjB8/Hm9vb6ZMmcJPP/3EoEGDKFq0KO7u7oSGhlK7dm0mT55MnTp1jOSJq6sru3fvZv369anGaW9vj52dHXfv3jW7lyn69u1LvXr1gEdv/d3d3fnll18oVqxYqu2lxtramrlz55I+fXrc3d0ZPnw4/fr1Y8SIEVhZPZ0/Gzt2LGXLljUbDePu7g48SiRNnz6d+fPnU6dOHeDRCIlt27YxZ84c428PYOTIkXh7ewOP/jYHDhxIbGyscZ2bNWvGTz/9xIABA1KNe/To0c9NYIiIiIiIiLzIa40Y8PLyombNmnh4ePD+++8za9Ysrl27xq1bt4iNjaV9+/bY29sbv5EjRxpD7yMiIihVqpSRFHhdZcqUea16AQEB/PLLL+zduxeA+fPn07x5czJkyMDOnTvN4l68eDEAJ0+epGXLlhQqVAgHBwfjzX1cXBwA0dHReHp6GsP1gacW3CtZsiRubm7GqIEdO3Zw6dIl3n///WfGGRERQdGiRenZsydbt241jkVHR5MvXz4jKQBQvHhxMmfOTHR0tLGvQIECz0wKAERGRvLgwQNcXV3N+r1jxw7jfvXs2dN4eB06dChHjhwxq5/y5n7Lli1Uq1aNbt26UbJkSaZNm2a2XkKuXLmMYfYxMTGUL1/eLJYnt1+Fp6en2XkALl269EpteHl5kT59emO7UqVKJCYmcu7cuVTLp4wYSE1sbCz37983HvgB0qVLR/ny5c3uz5Ox58yZk/Tp05slX3LmzPncvgwcOJCEhATj96x4RUREREREnuW1RgykSZOGbdu2sXv3bmOo86BBg1i3bh3w6O1ohQoVnqoDYGdn99y2raysePjwodm++/fvP1UuQ4YMrxM6OXLkoEGDBsybN4+CBQuyadMmY7562bJlzYbc58yZE4AGDRpQoEABZs2aRe7cuUlOTqZEiRIvnIP+pFatWrFkyRI+++wzlixZQu3atZ+5wF7p0qU5ffo0mzZt4ocffqB58+bUqlWL77///qXP96JrlJiYSJo0aTh48KBxf1KkTBfo0KEDfn5+xrD20aNHM378eHr06EFSUpJxP+/du2d2Pmtra6ytrYFHUx8iIiLM3pS/SY9/ZcFkMhnnhJf/e3pVL/o7fllPxv7kFyNMJtNzp9nY2Nj8qxfcFBERERGRt++1Fx80mUx4e3szbNgwDh06ZMz3z507N6dOncLFxcXsl7IYoKenJxEREU/NtU6RPXt24uPjzfa9znfqUx5KU+Z8P65Dhw589913zJw5k8KFCxtvdu3s7MxizpgxI1euXCEmJobBgwdTs2ZN3NzcjDffKdzc3Dhy5Ah37twx9qWMSHjchx9+yNGjRzl48CDff/89rVq1em4fHBwc+OCDD5g1axbfffcdK1as4OrVq7i5uXHu3Dmzt8NRUVFcv36d4sWLv/Q1KlWqFA8ePODSpUtP3a/Hh+zny5ePzp07s3LlSvr06cOsWbOAR1NAIiMjAahSpQpbt25l7969PHjwgClTpnD9+nVu3LhBnz59yJMnjzHFoWjRomYL8QFPbT/J2to61Xv5ItmzZ+fChQtmyYHU/p4OHz7MH3/8YWzv3bsXe3t7s1EZj/P09GT79u2pHitcuLDx/yHF/fv32b9//yvdHxERERERkb/DayUG9u3bxxdffMGBAweIi4tj5cqVXL58GTc3N4YNG8bo0aMJDg7mxIkTREZGMm/ePCZMmABAy5YtcXJyonHjxoSGhnLq1ClWrFhhrCTv6+vLgQMHWLhwISdPnmTo0KEcPXr0lWPMkSMHdnZ2bN68mYsXL5KQkGAc8/Pzw8HBgZEjR9K2bdvntpMlSxYcHR2ZOXMmv/zyCz/++CO9e/c2K/Phhx9iMpno2LEjUVFRbNy4kXHjxj3VlrOzM5UrV6Z9+/Y8ePCAhg0bPvO8EyZMYOnSpRw/fpwTJ07wv//9DycnJzJnzkytWrXw8PCgVatWhIeHExYWhr+/P9WrV6ds2bIvfY1cXV1p1aoV/v7+rFy5ktOnTxMWFsbo0aPZsGED8OiLDVu2bOH06dOEh4fz008/4ebmBkDDhg353//+x9WrVylbtiyfffYZVatWxcbGhq1bt1KmTBlatGjBtWvXWLVqlXHeHj16sHHjRiZMmMDJkyeZMWMGmzZtMt72p8bZ2ZkjR44QExPD77///tJv/X18fLh8+TJjx44lNjaWqVOnsmnTpqfK3bt3j/bt2xv3b+jQoXTv3t1YX2DKlClmUwcGDhzI/v376dq1K0eOHOH48eNMnz6d33//nQwZMtClSxf69evH5s2biYqKomPHjty+fZv27du/VNwiIiIiIiJ/l9dKDDg4OPDzzz9Tt25dXF1dGTx4MOPHj6dOnTp06NCB2bNnM2/ePDw8PKhevTrz5883RgxYW1uzdetWcuTIQd26dfHw8GDMmDHGUHY/Pz8CAwPp378/5cqV4+bNm/j7+79yjGnTpiU4OJgZM2aQO3duGjVq9P+dtrIiICCABw8evLBtKysrli1bxsGDBylRogSffvopX331lVkZe3t71q1bR2RkJKVKlWLQoEF8+eWXqbbXqlUrDh8+TJMmTZ47HD1jxozGAnflypXjzJkzbNy4ESsrK0wmE2vWrCFLlixUq1aNWrVqUahQIb777rtXuEKPzJs3D39/f/r06UPRokVp3Lgx+/fvJ3/+/MCjERfdunXDzc2N2rVr4+rqaiy45+Liwvvvv0/Lli25ffs2gYGB3Lhxg99++421a9eyceNGrl+/zvz5880+Rejt7c0333zDhAkT8PLyYvPmzXz66admazQ8qWPHjhQtWpSyZcuSPXt2s7fxz+Pm5sa0adOYOnUqXl5ehIWFmX0xIkXNmjUpUqQI1apV44MPPqBhw4YEBQUZx3///XezT1S6urqydetWDh8+TPny5alUqRJr1qwhbdpHs3PGjBnDe++9R+vWrSldujS//PILW7ZsIUuWLC8Vt4iIiIiIyN/F9PDJCdgWon379ly+fJm1a9e+7VD+1e7du8f777/PyZMnGTJkCHXq1CFTpkxcv36dlStXMmHCBDZv3kzevHmf207Hjh05fvw4O3fu/Jsi/2+6ceMGmTJlgjyfg9WzEy0iIvK0h3GBbzsEERGRNybl2SAhIQEHB4fnln2txQf/zRISEoiMjGTJkiVKCrwB1tbWrF69mgULFvDll1/SsmVLrK2tSU5OpmrVqgQHB6eaFBg3bhzvvPMOGTJkYNOmTSxYsMDs038iIiIiIiLy97C4xECjRo0ICwujc+fOvPPOO287nP8Ek8lEQEAAAQEBJCYmcvXqVbJnz/7cqRJhYWGMHTuWmzdvUqhQIYKDg+nQocPfGLWIiIiIiIiABSYGUj5NKH8Ne3t741OHz7N8+fK/IRoRERERERF5kdf+XKGIiIiIiIiI/PspMSAiIiIiIiJiwZQYEBEREREREbFgSgyIiIiIiIiIWDCLW3xQxBIkRA144bdKRUREREREQCMGRERERERERCyaEgMiIiIiIiIiFkyJARERERERERELpsSAiIiIiIiIiAVTYkBERERERETEgikxICIiIiIiImLB9LlCkf+gTMW/BCvbtx2GiIiIPOZhXODbDkFEJFUaMSAiIiIiIiJiwZQYEBEREREREbFgSgyIiIiIiIiIWDAlBkREREREREQsmBIDIiIiIiIiIhZMiQERERERERERC6bEgIiIiIiIiIgFU2JARERERERExIIpMSAiIiIiIiJiwZQYkP8cZ2dnJk6c+NwyJpOJ1atXA3DmzBlMJhMRERF/eWwiIiIiIiL/NEoMyF/q/v37zJw5k1q1apEnTx6cnJyoXLky48aN4/bt2287PBEREREREYuX9m0HIP9dp06dolGjRlhZWdGlSxc8PT2xt7fn+PHjzJs3j6lTp7JlyxZcXV3fdqgiIiIiIiIWSyMGLFRycjJjx47FxcUFGxsb8ufPz6hRo4xh9StXrqRGjRqkT58eLy8v9uzZY9S9cuUKLVu2JE+ePKRPnx4PDw+WLl1q1n5CQgJ+fn40adKEiIgIOnfuTOXKlfH09KR58+Zs2rSJzz//nHfffZdr164B8Pnnn1OhQoWnYvXy8mL48OEA+Pj40KtXL7PjjRs3JiAg4Jl9PXnyJNWqVcPW1pbixYuzbdu2VMsdP36cypUrY2trS4kSJdixY8dzr+Hdu3cZMGAA+fLlw8bGBhcXF+bMmWMc37FjB+XLl8fGxoZcuXLx2WefkZSUZBz38fGhR48e9OrViyxZspAzZ05mzZrFrVu3aNu2LRkzZsTFxYVNmzY9Nw4REREREZE/Q4kBCzVw4EDGjBlDYGAgUVFRLFmyhJw5cxrHBw0aRN++fYmIiMDV1ZWWLVsaD7V37tyhTJkybNiwgaNHj9KpUydat25NWFiYUX/MmDGUKVOG4cOHk5CQQKtWrYxpBMHBwdSpU4eOHTtStWpVYz2AVq1aERYWRmxsrNHOsWPHOHLkCB9++OFr9TM5OZmmTZtibW3Nvn37+OabbxgwYECqZfv160efPn04dOgQlSpVokGDBly5cuWZbfv7+7N06VKCg4OJjo5mxowZ2NvbA/Drr79St25dypUrx+HDh5k+fTpz5sxh5MiRZm0sWLCAbNmyERYWRo8ePejSpQvvv/8+lStXJjw8nHfffZfWrVs/c9rF3bt3uXHjhtlPRERERETkVSgxYIFu3rzJpEmTGDt2LG3atKFw4cJUqVKFDh06GGX69u1LvXr1cHV1ZdiwYZw9e5ZffvkFgDx58tC3b19KlixJoUKF6NGjB7Vr12b58uVG/W+//ZbBgwcD0KdPH06fPs2aNWsYOHAgo0eP5o8//gAgICCALVu2AODu7o6XlxdLliwx2lm8eDEVKlTAxcXltfr6ww8/cPz4cRYuXIiXlxfVqlXjiy++SLVs9+7dee+993Bzc2P69OlkypTJbATA406cOMHy5cuZO3cuTZo0oVChQtSsWZMPPvgAgGnTppEvXz6mTJlCsWLFaNy4McOGDWP8+PEkJycb7Xh5eTF48GCKFCnCwIEDsbW1JVu2bHTs2JEiRYowZMgQrly5wpEjR1KNY/To0WTKlMn45cuX77Wuk4iIiIiIWC4lBixQdHQ0d+/epWbNms8s4+npafw7V65cAFy6dAmABw8eMGLECDw8PMiaNSv29vZs2bKFuLg4AK5evcrNmzcpUaIEAOvWrWPcuHFUqFCBBg0a0L17d7O2U6YSwKNRAymJgYcPH7J06VJatWr1p/qaL18+cufObeyrVKlSqmUf3582bVrKli1LdHR0qmUjIiJIkyYN1atXf+Z5K1WqhMlkMvZ5e3uTmJjI+fPnjX2PX+c0adLg6OiIh4eHsS9lFEfKtX/SwIEDSUhIMH7nzp1LtZyIiIiIiMizaPFBC2RnZ/fCMunSpTP+nfJwm/Km+6uvvmLSpElMnDgRDw8PMmTIQK9evbh37x4ASUlJ2NraGvXv3btHhgwZjO2U4fYA4eHhZqMBWrZsyYABAwgPD+ePP/7g3Llzxlt4ACsrKx4+fGgW6/3791+q32/Sy1zDl/H4dYZH1/p51/5JNjY22NjYvJFYRERERETEMmnEgAUqUqQIdnZ2bN++/bXqh4aG0qhRIz766CO8vLwoVKgQJ06cMI5ny5aNe/fucfHiRQCqVKnC2LFj+eOPP/j111+ZNWsWALt372bQoEH07t3bqJs3b16qV6/O4sWLWbx4Me+88w45cuQwjmfPnp34+Hhj+8GDBxw9evSZsbq5uXHu3DmzOnv37k217OP7k5KSOHjwIG5ubqmW9fDwIDk5+ZkLFLq5ubFnzx6zJEZoaCgZM2Ykb968z4xXRERERETk76bEgAWytbVlwIAB9O/fn4ULFxIbG8vevXufOZ/+SUWKFGHbtm3s3r2b6OhoPv74YyMJAI/e6jds2JBp06YBMGnSJA4dOoS9vT0eHh6888477Nixg3bt2jFp0qSnpjS0atWKZcuW8b///e+paQS+vr5s2LCBDRs2cPz4cbp06cL169efGWutWrVwdXWlTZs2HD58mJ07dzJo0KBUy06dOpVVq1Zx/PhxunXrxrVr12jXrp1xvFixYqxatQoAZ2dn2rRpQ7t27Vi9ejWnT58mJCTEWGeha9eunDt3jh49enD8+HHWrFnD0KFD6d27N1ZW+m8nIiIiIiL/HJpKYKECAwNJmzYtQ4YM4bfffiNXrlx07tz5peoOHjyYU6dO4efnR/r06enUqRONGzcmISHBKDNkyBDKly9PxYoVqVOnDlFRUVy4cIEsWbKQnJzMoEGDyJYtW6rtN2vWjO7du5MmTRoaN25sdqxdu3YcPnwYf39/0qZNy6effkqNGjWeGauVlRWrVq2iffv2lC9fHmdnZ4KDg6ldu/ZTZceMGcOYMWOIiIjAxcWFtWvXmsUYExNj1sfp06fz+eef07VrV65cuUL+/Pn5/PPPgUcLNG7cuJF+/frh5eVF1qxZad++vbEgo4iIiIiIyD+F6eGTE7ZF3pCtW7fSokULPvroIzp27Ii7uzsAkZGRjBs3juzZszNhwoS3HOV/y40bN8iUKRPk+RysbF9cQURERP42D+MC33YIImJBUp4NEhIScHBweG5ZjWmWv8y7777LwYMHuXnzJlWrVsXa2hpra2vq1KlD3rx5CQoKetshioiIiIiIWDyNGJC/RXJyMhcvXsTKysr4BJ+8eRoxICIi8s+lEQMi8nd6lREDWmNA/hZWVlbkypXrbYchIiIiIiIiT9BUAhERERERERELpsSAiIiIiIiIiAVTYkBERERERETEgikxICIiIiIiImLBtPigyH9QQtSAF648KiIiIiIiAhoxICIiIiIiImLRlBgQERERERERsWBKDIiIiIiIiIhYMCUGRERERERERCyYEgMiIiIiIiIiFkyJARERERERERELps8VivwHZSr+JVjZvu0wRERE5F/sYVzg2w5BRP4mGjEgIiIiIiIiYsGUGBARERERERGxYEoMiIiIiIiIiFgwJQZERERERERELJgSAyIiIiIiIiIWTIkBEREREREREQumxICIiIiIiIiIBVNiQERERERERMSCKTHwD2EymVi9evXbDuNvdebMGUwmExEREca+0NBQPDw8SJcuHY0bN35rsYmIiIiIiFgKJQb+IeLj46lTpw6Q+gPzq9q7dy9t2rTBxcUFR0dH3Nzc6NKlC8eOHXtDEf81evfuTcmSJTl9+jTz589/2+GIiIiIiIj85ykx8Jbdu3cPACcnJ2xsbP50e8nJyfTo0YM6deqQM2dOpk6dys8//8y0adOwt7enSpUqTJ069U+f51Wk9PFlxMbG4uvrS968ecmcOfNfF5SIiIiIiIgAFpoY+P777/Hw8MDOzg5HR0dq1arFrVu3AJg9ezZubm7Y2tpSrFgxpk2bZlb3/PnztGzZkqxZs5IhQwbKli3Lvn37AAgICHhq+HuvXr3w8fExtn18fOjevTu9evUiW7Zs+Pn5AeZTCQoWLAhAqVKlMJlM+Pj48PPPP5MuXTouXLjwVPtVq1Y1tgcMGMC+ffuIjo5m7Nix+Pn54e7uTo0aNfjqq684cOAA48eP5/vvvwcgISGBNGnScODAAeBRYiFr1qxUrFjRaHPRokXky5fP2I6MjMTX19e4fp06dSIxMdE4nnIdRo0aRe7cuSlatCgAYWFhlCpVCltbW8qWLcuhQ4eMOimjJK5cuUK7du0wmUzGiIGjR49Sp04d7O3tyZkzJ61bt+b33383u6Y9e/akf//+ZM2aFScnJ4KCgsyu0/Xr1/n444/JmTMntra2lChRgvXr1xvHd+3aRdWqVbGzsyNfvnz07NnT+Jt4lnXr1lGuXDlsbW3Jli0bTZo0MY5du3YNf39/smTJQvr06alTpw4nT540js+fP5/MmTOzfv16ihYtSvr06WnWrBm3b99mwYIFODs7kyVLFnr27MmDBw+eG4eIiIiIiMifYXGJgfj4eFq2bEm7du2Ijo4mJCSEpk2b8vDhQxYvXsyQIUMYNWoU0dHRfPHFFwQGBrJgwQIAEhMTqV69Or/++itr167l8OHD9O/fn+Tk5FeKYcGCBVhbWxMaGso333zz1PGwsDAAfvjhB+Lj41m5ciXVqlWjUKFCfPvtt0a5+/fvs3jxYtq1awdAVFQU8+fPZ/Xq1Tg5OTF9+nSKFCmCs7MzkydPpmjRoqRLl45Zs2bRr18/Hj58SKZMmShZsiQhISHAo4d+k8nEoUOHjIf9HTt2UL16dQBu3bqFn58fWbJkYf/+/fzvf//jhx9+oHv37mZ92L59OzExMWzbto3169eTmJhI/fr1KV68OAcPHiQoKIi+ffsa5fPly0d8fDwODg5MnDiR+Ph4PvjgA65fv46vry+lSpXiwIEDbN68mYsXL9K8efOnrmmGDBnYt28fY8eOZfjw4Wzbtg14lOyoU6cOoaGhLFq0iKioKMaMGUOaNGmAR6MUateuzXvvvceRI0f47rvv2LVr11N9etyGDRto0qQJdevW5dChQ2zfvp3y5csbxwMCAjhw4ABr165lz549PHz4kLp163L//n2jzO3btwkODmbZsmVs3ryZkJAQmjRpwsaNG9m4cSPffvstM2bMMJI4qbl79y43btww+4mIiIiIiLyKtG87gL9bfHw8SUlJNG3alAIFCgDg4eEBwNChQxk/fjxNmzYFHr25j4qKYsaMGbRp04YlS5Zw+fJl9u/fT9asWQFwcXF55RiKFCnC2LFjn3k8e/bsADg6OuLk5GTsb9++PfPmzaNfv37AozfWd+7cMR6SFy9eTJs2bcidOzc7d+6kb9++zJo1i2LFijF06FBiY2NJTk6mZs2aJCUlERMTQ7FixfDx8SEkJIS+ffsSEhLCO++8w/Hjx9m1axe1a9cmJCSE/v37A7BkyRLu3LnDwoULyZAhAwBTpkyhQYMGfPnll+TMmROADBkyMHv2bKytrQGYOXMmycnJzJkzB1tbW9zd3Tl//jxdunQBIE2aNDg5OWEymciUKZPR7/Hjx1OqVCm++OIL4zrMnTuXfPnyceLECVxdXQHw9PRk6NChxvWdMmUK27dv55133uGHH34gLCyM6Ohoo3yhQoWM9kaPHk2rVq3o1auXUT84OJjq1aszffp0bG1tn7pHo0aNokWLFgwbNszY5+XlBcDJkydZu3YtoaGhVK5c2bg3+fLlY/Xq1bz//vvAo8TO9OnTKVy4MADNmjXj22+/5eLFi9jb21O8eHFq1KjBTz/9xAcffJDq38ro0aPNYhAREREREXlVFjdiwMvLi5o1a+Lh4cH777/PrFmzuHbtGrdu3SI2Npb27dtjb29v/EaOHElsbCwAERERlCpVykgKvK4yZcq8Vr2AgAB++eUX9u7dCzwajt68eXPjAT0yMtJ4EF23bh2tWrXiww8/pHTp0nzzzTdmQ9Jz5crFtWvXAKhevTq7du3iwYMH7NixAx8fHyNZ8Ntvv/HLL78Y0yGio6Px8vIyzgng7e1NcnIyMTExxj4PDw8jKZBSz9PT0+whu1KlSi/s8+HDh/npp5/M7kmxYsUAjPsCjxIDj8uVKxeXLl0CHt23vHnzGkmB1M4xf/58s3P4+fmRnJzM6dOnU60TERFBzZo1Uz0WHR1N2rRpqVChgrHP0dGRokWLEh0dbexLnz69kRQAyJkzJ87Oztjb25vtS+lHagYOHEhCQoLxO3fu3DPLioiIiIiIpMbiRgykSZOGbdu2sXv3brZu3crkyZMZNGgQ69atA2DWrFlmD3QpdQDs7Oye27aVlRUPHz402/f40PEUjz9Uv4ocOXLQoEED5s2bR8GCBdm0aZMxBQAgKSnJiPHevXtm53n8YfPWrVucPHnSeCitVq0aN2/eJDw8nJ9//pkvvvgCJycnxowZg5eXF7lz56ZIkSKvFOvr9vFJiYmJxmiEJ+XKlcv4d7p06cyOmUwmY4rHi+5bYmIiH3/8MT179nzqWP78+VOt86I2X0ZqMT+vH6mxsbF5I4tWioiIiIiI5bK4EQPw6GHL29ubYcOGcejQIWO+f+7cuTl16hQuLi5mv5TFAD09PYmIiODq1auptps9e3bi4+PN9r3OJwdT3rSntuhchw4d+O6775g5cyaFCxfG29vbOObi4kJkZCQAVapUYdmyZRw/fpz79+8zatQoAC5fvky7du1o1KgROXLkACBz5sx4enoyZcoU0qVLR7FixahWrRqHDh1i/fr1xvoCAG5ubhw+fNhsYb7Q0FCsrKyMRQZT4+bmxpEjR7hz546xL2Xkw/OULl2aY8eO4ezs/NR9ednkg6enJ+fPn+fEiRPPPEdUVNRT7bu4uJiNeniyze3bt6d6zM3NjaSkJGNRSoArV64QExND8eLFXypmERERERGRv4vFJQb27dvHF198wYEDB4iLi2PlypVcvnwZNzc3hg0bxujRowkODubEiRNERkYyb948JkyYAEDLli1xcnKicePGhIaGcurUKVasWMGePXsA8PX15cCBAyxcuJCTJ08ydOhQjh49+sox5siRAzs7O2OhvYSEBOOYn58fDg4OjBw5krZt25rVa9KkCbNnz+b+/fu89957NGzYkOLFi5M+fXquX79O7ty5qVWrFnny5Hlq0UMfHx8WL15sJAGyZs2Km5sb3333nVlioFWrVtja2tKmTRuOHj3KTz/9RI8ePWjdurWxvkBqPvzwQ0wmEx07diQqKoqNGzcybty4F16Lbt26cfXqVVq2bMn+/fuJjY1ly5YttG3b9qVX669evTrVqlXjvffeY9u2bZw+fZpNmzaxefNm4NGXHHbv3k337t2JiIjg5MmTrFmzxmzxwYEDB+Lv729sDx06lKVLlzJ06FCio6OJjIw0RjUUKVKERo0a0bFjR3bt2sXhw4f56KOPyJMnD40aNXqpmEVERERERP4uFpcYcHBw4Oeff6Zu3bq4uroyePBgxo8fT506dejQoQOzZ89m3rx5eHh4UL16debPn2+MGLC2tmbr1q3kyJHj/9q79/ie6///4/f3sDGzjRk7hFljTtswh+aUU0apmURSEikhlFMSRvUh4vtRRlGZfGThE3LOFxtGK7IoMyM+8+njFHZA2OH5+8PP++ttDqsPtva+XS+X9+Xi/Xo9X6/n8/V6eL953d+v9/OtRx99VEFBQTaz24eHh2vcuHEaNWqUGjdurKysLJuLyYIqWbKkPvjgA3388cfy8fGxuZh0cHBQnz59lJubm2/fbdq0UUBAgPr376+8vDx9/PHHysjI0MmTJzV37lzt2rVLZ8+e1YwZM/JNqPfwww8rNzc3308r3rjM2dlZGzZs0NmzZ9W4cWN169ZN7dq106xZs257TC4uLlq1apX27dunBg0aaOzYsTf9esCNfHx8lJCQoNzcXHXo0EFBQUEaNmyY3N3d5eBQ8L++//znP9W4cWP17NlTderU0ahRo6zBQnBwsOLj43Xw4EG1bNlSDRo00Pjx4+Xj42Pd/vjx40pLS7M5N0uXLtXXX3+t+vXrq23bttZfk5Ck+fPnKzQ0VJ07d1ZYWJiMMVq7dm2+rwoAAAAAQGGzmBu/FI8ir1+/fjp9+rS+/vrrfOvOnTunRx99VJI0duxYtW3bVs7Ozjp16pQWLVqkzz//XNu3b79rcwCgaMnMzJSbm5vk+6bkkP/XFAAAAArKpI0r7CEA+C9cuzbIyMiQq6vrbdva3eSDf2UZGRnat2+fvvjii5uGApJUvnx5xcfHKzo6WsOHD9fBgwfl6Ogoi8Wi8PBwffrpp4QCAAAAAAAr7hj4C2ndurW+++47vfzyy/qf//mfAm2TkZGhzMxMVapUidnr7QB3DAAAgLuFOwaAvzbuGCimrv9pwoJyc3O7eqEIAAAAAMBN2N3kgwAAAAAA4P8QDAAAAAAAYMcIBgAAAAAAsGMEAwAAAAAA2DEmHwSKoYz9o+848ygAAAAASNwxAAAAAACAXSMYAAAAAADAjhEMAAAAAABgxwgGAAAAAACwYwQDAAAAAADYMYIBAAAAAADsGD9XCBRDbnXekxxKF/YwAAAA/vJM2rjCHgJwz3HHAAAAAAAAdoxgAAAAAAAAO0YwAAAAAACAHSMYAAAAAADAjhEMAAAAAABgxwgGAAAAAACwYwQDAAAAAADYMYIBAAAAAADsGMFAERITEyN3d3fr86ioKNWvX7/QxnOv9OnTR126dCnsYeRjsVi0YsWKwh4GAAAAANxXBANF2IgRI7Rp0ybr8ztdUKelpWnEiBEKCQlRxYoV5e/vr27dumn9+vX3bIytW7fWsGHD7tn+i0qfAAAAAFBcEQwUYS4uLvLw8ChQ24ULF6pevXr69ddfFRUVpU2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",
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       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -606,10 +606,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:11.273158Z",
-     "iopub.status.busy": "2024-09-13T08:25:11.272806Z",
-     "iopub.status.idle": "2024-09-13T08:25:11.501084Z",
-     "shell.execute_reply": "2024-09-13T08:25:11.500488Z"
+     "iopub.execute_input": "2025-02-02T04:24:22.542992Z",
+     "iopub.status.busy": "2025-02-02T04:24:22.542800Z",
+     "iopub.status.idle": "2025-02-02T04:24:22.765147Z",
+     "shell.execute_reply": "2025-02-02T04:24:22.764601Z"
     },
     "tags": [
      "remove-input"
@@ -618,7 +618,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -675,10 +675,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:11.503441Z",
-     "iopub.status.busy": "2024-09-13T08:25:11.503247Z",
-     "iopub.status.idle": "2024-09-13T08:25:11.515807Z",
-     "shell.execute_reply": "2024-09-13T08:25:11.515213Z"
+     "iopub.execute_input": "2025-02-02T04:24:22.767053Z",
+     "iopub.status.busy": "2025-02-02T04:24:22.766863Z",
+     "iopub.status.idle": "2025-02-02T04:24:22.780002Z",
+     "shell.execute_reply": "2025-02-02T04:24:22.779435Z"
     },
     "tags": [
      "remove-input"
@@ -688,7 +688,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_2f9bcd2c_b7f3_426a_93f2_8e2dfcbc0f1d\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_2c9c634f_3b25_40ff_a33f_025a508f00a7\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -698,7 +698,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -789,24 +788,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_2c9c634f_3b25_40ff_a33f_025a508f00a7:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_2f9bcd2c_b7f3_426a_93f2_8e2dfcbc0f1d:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 4461, 16.0], [\"cve@kernel.org\", 3208, 11.0], [\"audit@patchstack.com\", 2603, 9.0], [\"security@wordfence.com\", 2314, 8.0], [\"cna@vuldb.com\", 2124, 8.0], [\"security-advisories@github.com\", 1460, 5.0], [\"zdi-disclosures@trendmicro.com\", 945, 3.0], [\"secure@microsoft.com\", 788, 3.0], [\"contact@wpscan.com\", 668, 2.0], [\"psirt@adobe.com\", 450, 2.0], [\"psirt@us.ibm.com\", 396, 1.0], [\"product-security@apple.com\", 355, 1.0], [\"security@huntr.dev\", 305, 1.0], [\"secure@intel.com\", 292, 1.0], [\"cve-coordination@incibe.es\", 291, 1.0], [\"secalert_us@oracle.com\", 282, 1.0], [\"secalert@redhat.com\", 231, 1.0], [\"talos-cna@cisco.com\", 218, 1.0], [\"productcert@siemens.com\", 217, 1.0], [\"chrome-cve-admin@google.com\", 200, 1.0], [\"vultures@jpcert.or.jp\", 198, 1.0], [\"security_alert@emc.com\", 198, 1.0], [\"security@apache.org\", 195, 1.0], [\"product-security@qualcomm.com\", 188, 1.0], [\"mobile.security@samsung.com\", 179, 1.0], [\"ics-cert@hq.dhs.gov\", 164, 1.0], [\"ykramarz@cisco.com\", 149, 1.0], [\"security@mozilla.org\", 148, 1.0], [\"psirt@huawei.com\", 141, 1.0], [\"support@hackerone.com\", 141, 1.0], [\"security@android.com\", 125, 0.0], [\"cve@gitlab.com\", 124, 0.0], [\"dsap-vuln-management@google.com\", 123, 0.0], [\"cna@sap.com\", 118, 0.0], [\"security@mediatek.com\", 105, 0.0], [\"sirt@juniper.net\", 104, 0.0], [\"security@qnapsecurity.com.tw\", 98, 0.0], [\"psirt@fortinet.com\", 91, 0.0], [\"f5sirt@f5.com\", 84, 0.0], [\"twcert@cert.org.tw\", 82, 0.0], [\"psirt@lenovo.com\", 80, 0.0], [\"security@opentext.com\", 77, 0.0], [\"security-alert@hpe.com\", 77, 0.0], [\"cvd@cert.pl\", 74, 0.0], [\"responsibledisclosure@mattermost.com\", 72, 0.0], [\"info@cert.vde.com\", 70, 0.0], [\"iletisim@usom.gov.tr\", 70, 0.0], [\"psirt@hcl.com\", 66, 0.0], [\"cve@jetbrains.com\", 65, 0.0], [\"security@vmware.com\", 64, 0.0], [\"security@progress.com\", 60, 0.0], [\"psirt@nvidia.com\", 53, 0.0], [\"psirt@autodesk.com\", 52, 0.0], [\"security@ubuntu.com\", 52, 0.0], [\"vdisclose@cert-in.org.in\", 51, 0.0], [\"cna@cyber.gov.il\", 50, 0.0], [\"scy@openharmony.io\", 49, 0.0], [\"psirt@paloaltonetworks.com\", 49, 0.0], [\"PSIRT@rockwellautomation.com\", 48, 0.0], [\"help@fluidattacks.com\", 48, 0.0], [\"report@snyk.io\", 47, 0.0], [\"security@trendmicro.com\", 45, 0.0], [\"ecc0f906-8666-484c-bcf8-c3b7520a72f0\", 44, 0.0], [\"0fc0942c-577d-436f-ae8e-945763c79b02\", 44, 0.0], [\"security@unisoc.com\", 42, 0.0], [\"psirt@amd.com\", 40, 0.0], [\"vulnreport@tenable.com\", 39, 0.0], [\"prodsec@nozominetworks.com\", 39, 0.0], [\"patrick@puiterwijk.org\", 38, 0.0], [\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", 38, 0.0], [\"psirt@solarwinds.com\", 37, 0.0], [\"jenkinsci-cert@googlegroups.com\", 36, 0.0], [\"security@zoom.us\", 36, 0.0], [\"product-cna@github.com\", 33, 0.0], [\"security@liferay.com\", 33, 0.0], [\"secteam@freebsd.org\", 33, 0.0], [\"disclosures@exodusintel.com\", 32, 0.0], [\"disclosure@vulncheck.com\", 32, 0.0], [\"cybersecurity@se.com\", 31, 0.0], [\"hp-security-alert@hp.com\", 29, 0.0], [\"security@golang.org\", 28, 0.0], [\"sirt@brocade.com\", 28, 0.0], [\"psirt@bosch.com\", 28, 0.0], [\"reefs@jfrog.com\", 26, 0.0], [\"cybersecurity@ch.abb.com\", 26, 0.0], [\"security@open-xchange.com\", 26, 0.0], [\"security@checkmk.com\", 26, 0.0], [\"security@synology.com\", 25, 0.0], [\"security@zyxel.com.tw\", 25, 0.0], [\"prodsec@splunk.com\", 25, 0.0], [\"cybersecurity@hitachienergy.com\", 25, 0.0], [\"security@atlassian.com\", 23, 0.0], [\"cve-coordination@google.com\", 22, 0.0], [\"security@ni.com\", 21, 0.0], [\"product-security@silabs.com\", 21, 0.0], [\"cret@cert.org\", 20, 0.0], [\"cve@zscaler.com\", 20, 0.0], [\"psirt@honeywell.com\", 19, 0.0], [\"bressers@elastic.co\", 19, 0.0], [\"secure@citrix.com\", 18, 0.0], [\"security@joomla.org\", 18, 0.0], [\"paddle-security@baidu.com\", 18, 0.0], [\"office@cyberdanube.com\", 18, 0.0], [\"security@xen.org\", 18, 0.0], [\"3DS.Information-Security@3ds.com\", 17, 0.0], [\"cve-requests@bitdefender.com\", 17, 0.0], [\"productsecurity@jci.com\", 17, 0.0], [\"security@devolutions.net\", 17, 0.0], [\"arm-security@arm.com\", 16, 0.0], [\"trellixpsirt@trellix.com\", 16, 0.0], [\"security@acronis.com\", 16, 0.0], [\"psirt@esri.com\", 16, 0.0], [\"security@openanolis.org\", 16, 0.0], [\"cna@mongodb.com\", 15, 0.0], [\"vulnerability@ncsc.ch\", 15, 0.0], [\"3c1d8aa1-5a33-4ea4-8992-aadd6440af75\", 15, 0.0], [\"hirt@hitachi.co.jp\", 15, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 15, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 14, 0.0], [\"cve@asrg.io\", 14, 0.0], [\"security@hashicorp.com\", 14, 0.0], [\"psirt-info@cyber.jp.nec.com\", 14, 0.0], [\"ff5b8ace-8b95-4078-9743-eac1ca5451de\", 13, 0.0], [\"df4dee71-de3a-4139-9588-11b62fe6c0ff\", 13, 0.0], [\"PSIRT@sonicwall.com\", 13, 0.0], [\"csirt@divd.nl\", 13, 0.0], [\"infosec@edk2.groups.io\", 13, 0.0], [\"emo@eclipse.org\", 12, 0.0], [\"430a6cef-dc26-47e3-9fa8-52fb7f19644e\", 12, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 12, 0.0], [\"facts@wolfssl.com\", 12, 0.0], [\"cna@python.org\", 12, 0.0], [\"disclosures@gallagher.com\", 12, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 12, 0.0], [\"biossecurity@ami.com\", 11, 0.0], [\"psirt@zte.com.cn\", 11, 0.0], [\"ot-cert@dragos.com\", 11, 0.0], [\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\", 11, 0.0], [\"secure@symantec.com\", 11, 0.0], [\"security-officer@isc.org\", 10, 0.0], [\"vulnerability@kaspersky.com\", 10, 0.0], [\"xpdf@xpdfreader.com\", 10, 0.0], [\"security@zabbix.com\", 10, 0.0], [\"security-alert@netapp.com\", 10, 0.0], [\"security@puppet.com\", 10, 0.0], [\"responsible-disclosure@pingidentity.com\", 10, 0.0], [\"product-security@axis.com\", 10, 0.0], [\"securities@openeuler.org\", 10, 0.0], [\"cert@ncsc.nl\", 10, 0.0], [\"cve@rapid7.com\", 10, 0.0], [\"security@openvpn.net\", 9, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 9, 0.0], [\"ART@zuso.ai\", 9, 0.0], [\"171caf72-b841-4e04-a68e-93493aff2b94\", 9, 0.0], [\"vulnerabilities@zephyrproject.org\", 9, 0.0], [\"security@otrs.com\", 9, 0.0], [\"2499f714-1537-4658-8207-48ae4bb9eae9\", 9, 0.0], [\"security@pandorafms.com\", 8, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 8, 0.0], [\"product.security@lge.com\", 8, 0.0], [\"security@tibco.com\", 8, 0.0], [\"bbf0bd87-ece2-41be-b873-96928ee8fab9\", 8, 0.0], [\"security@octopus.com\", 8, 0.0], [\"security@php.net\", 8, 0.0], [\"security@m-files.com\", 7, 0.0], [\"PSIRT@samsung.com\", 7, 0.0], [\"psirt@moxa.com\", 7, 0.0], [\"cve@navercorp.com\", 7, 0.0], [\"vuln@krcert.or.kr\", 7, 0.0], [\"13061848-ea10-403d-bd75-c83a022c2891\", 7, 0.0], [\"security@grafana.com\", 7, 0.0], [\"openssl-security@openssl.org\", 7, 0.0], [\"cybersecurity@dahuatech.com\", 7, 0.0], [\"security@pega.com\", 7, 0.0], [\"security@eset.com\", 7, 0.0], [\"security@xiaomi.com\", 6, 0.0], [\"36c7be3b-2937-45df-85ea-ca7133ea542c\", 6, 0.0], [\"psirt@sailpoint.com\", 6, 0.0], [\"security@hypr.com\", 6, 0.0], [\"cve@takeonme.org\", 6, 0.0], [\"info@appcheck-ng.com\", 5, 0.0], [\"hsrc@hikvision.com\", 5, 0.0], [\"2505284f-8ffb-486c-bf60-e19c1097a90b\", 5, 0.0], [\"80f39f49-2521-4ee7-9e17-af5d55e8032f\", 5, 0.0], [\"psirt@wdc.com\", 5, 0.0], [\"securityalerts@avaya.com\", 5, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 5, 0.0], [\"vdp@themissinglink.com.au\", 5, 0.0], [\"3ff69d7a-14f2-4f67-a097-88dee7810d18\", 5, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 5, 0.0], [\"907edf6c-bf03-423e-ab1a-8da27e1aa1ea\", 5, 0.0], [\"security@snowsoftware.com\", 4, 0.0], [\"cve-coordination@logitech.com\", 4, 0.0], [\"psirt@teamviewer.com\", 4, 0.0], [\"7bc73191-a2b6-4c63-9918-753964601853\", 4, 0.0], [\"productsecurity@carrier.com\", 4, 0.0], [\"info@starlabs.sg\", 4, 0.0], [\"psirt@forcepoint.com\", 4, 0.0], [\"disclosure@synopsys.com\", 4, 0.0], [\"cna@cloudflare.com\", 4, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 4, 0.0], [\"jordan@liggitt.net\", 4, 0.0], [\"41c37e40-543d-43a2-b660-2fee83ea851a\", 4, 0.0], [\"security@dotcms.com\", 4, 0.0], [\"security@docker.com\", 4, 0.0], [\"productsecurity@baxter.com\", 4, 0.0], [\"596c5446-0ce5-4ba2-aa66-48b3b757a647\", 4, 0.0], [\"security@documentfoundation.org\", 4, 0.0], [\"psirt@thalesgroup.com\", 4, 0.0], [\"cve-coordination@palantir.com\", 3, 0.0], [\"dl_cve@linecorp.com\", 3, 0.0], [\"mandiant-cve@google.com\", 3, 0.0], [\"dc3f6da9-85b5-4a73-84a2-2ec90b40fca5\", 3, 0.0], [\"1e3a9e0f-5156-4bf8-b8a3-cc311bfc0f4a\", 3, 0.0], [\"security-report@netflix.com\", 3, 0.0], [\"psirt@servicenow.com\", 3, 0.0], [\"a5532a13-c4dd-4202-bef1-e0b8f2f8d12b\", 3, 0.0], [\"5d1c2695-1a31-4499-88ae-e847036fd7e3\", 3, 0.0], [\"22d9ba52-f336-4b0d-bf1f-0efbdcc3c1de\", 3, 0.0], [\"cve@checkpoint.com\", 3, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 3, 0.0], [\"psirt@arista.com\", 3, 0.0], [\"psirt@okta.com\", 3, 0.0], [\"security@proofpoint.com\", 3, 0.0], [\"85b1779b-6ecd-4f52-bcc5-73eac4659dcf\", 3, 0.0], [\"bugreport@qualys.com\", 3, 0.0], [\"103e4ec9-0a87-450b-af77-479448ddef11\", 3, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 3, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 3, 0.0], [\"security@yugabyte.com\", 3, 0.0], [\"a341c0d1-ebf7-493f-a84e-38cf86618674\", 3, 0.0], [\"VulnerabilityReporting@secomea.com\", 3, 0.0], [\"research@onekey.com\", 3, 0.0], [\"security@tcpdump.org\", 3, 0.0], [\"product-security@gg.jp.panasonic.com\", 2, 0.0], [\"secure@blackberry.com\", 2, 0.0], [\"57dba5dd-1a03-47f6-8b36-e84e47d335d8\", 2, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 2, 0.0], [\"security@temporal.io\", 2, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 2, 0.0], [\"PSIRT@synaptics.com\", 2, 0.0], [\"68870bb1-d075-4169-957d-e580b18692b9\", 2, 0.0], [\"sep@nlnetlabs.nl\", 2, 0.0], [\"d42dc95b-23f1-4e06-9076-20753a0fb0df\", 2, 0.0], [\"cve_disclosure@tech.gov.sg\", 2, 0.0], [\"655498c3-6ec5-4f0b-aea6-853b334d05a6\", 1, 0.0], [\"cve-assign@fb.com\", 1, 0.0], [\"mlhess@drupal.org\", 1, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 1, 0.0], [\"cb7ba516-3b07-4c98-b0c2-715220f1a8f6\", 1, 0.0], [\"security@1e.com\", 1, 0.0], [\"88ee5874-cf24-4952-aea0-31affedb7ff2\", 1, 0.0], [\"1d66c9f9-fff2-411a-aa19-ca6312fa25e9\", 1, 0.0], [\"b48c3b8f-639e-4c16-8725-497bc411dad0\", 1, 0.0], [\"psirt@netskope.com\", 1, 0.0], [\"36106deb-8e95-420b-a0a0-e70af5d245df\", 1, 0.0], [\"sec@hillstonenet.com\", 1, 0.0], [\"security.vulnerabilities@algosec.com\", 1, 0.0], [\"info@cybellum.com\", 1, 0.0], [\"security@oppo.com\", 1, 0.0], [\"psirt@forgerock.com\", 1, 0.0], [\"7bd90cf1-1651-495e-9ae8-9415fb3c9feb\", 1, 0.0], [\"psirt@tigera.io\", 1, 0.0], [\"security@selinc.com\", 1, 0.0], [\"incident@nbu.gov.sk\", 1, 0.0], [\"56c94bcb-ac34-4d7f-b660-d297a6b7ff82\", 1, 0.0], [\"20be33e2-bf35-4d13-8fad-18bd2f3e3659\", 1, 0.0], [\"a6d3dc9e-0591-4a13-bce7-0f5b31ff6158\", 1, 0.0], [\"security@baicells.com\", 1, 0.0], [\"security@nortonlifelock.com\", 1, 0.0], [\"67325c3f-c596-46c5-a235-e1a1e73abe4e\", 1, 0.0], [\"security@knime.com\", 1, 0.0], [\"psirt@purestorage.com\", 1, 0.0], [\"4586e0a2-224d-4f8a-9cb4-8882b208c0b3\", 1, 0.0], [\"browser-security@yandex-team.ru\", 1, 0.0], [\"psirt@sick.de\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 6111, 15.0], [\"audit@patchstack.com\", 4570, 11.0], [\"cve@kernel.org\", 4443, 11.0], [\"security@wordfence.com\", 3640, 9.0], [\"cna@vuldb.com\", 2938, 7.0], [\"security-advisories@github.com\", 2139, 5.0], [\"zdi-disclosures@trendmicro.com\", 1286, 3.0], [\"secure@microsoft.com\", 1095, 3.0], [\"contact@wpscan.com\", 773, 2.0], [\"psirt@adobe.com\", 760, 2.0], [\"product-security@apple.com\", 598, 1.0], [\"psirt@us.ibm.com\", 504, 1.0], [\"secure@intel.com\", 394, 1.0], [\"security@huntr.dev\", 375, 1.0], [\"secalert_us@oracle.com\", 370, 1.0], [\"psirt@cisco.com\", 362, 1.0], [\"cve-coordination@incibe.es\", 327, 1.0], [\"secalert@redhat.com\", 319, 1.0], [\"productcert@siemens.com\", 296, 1.0], [\"vultures@jpcert.or.jp\", 283, 1.0], [\"security@apache.org\", 262, 1.0], [\"talos-cna@cisco.com\", 261, 1.0], [\"chrome-cve-admin@google.com\", 261, 1.0], [\"security@android.com\", 259, 1.0], [\"product-security@qualcomm.com\", 259, 1.0], [\"security_alert@emc.com\", 258, 1.0], [\"ics-cert@hq.dhs.gov\", 258, 1.0], [\"psirt@huawei.com\", 223, 1.0], [\"mobile.security@samsung.com\", 222, 1.0], [\"security@mozilla.org\", 202, 0.0], [\"support@hackerone.com\", 187, 0.0], [\"twcert@cert.org.tw\", 171, 0.0], [\"cve@gitlab.com\", 170, 0.0], [\"dsap-vuln-management@google.com\", 162, 0.0], [\"security@mediatek.com\", 153, 0.0], [\"security@qnapsecurity.com.tw\", 146, 0.0], [\"cna@sap.com\", 142, 0.0], [\"sirt@juniper.net\", 132, 0.0], [\"iletisim@usom.gov.tr\", 123, 0.0], [\"psirt@fortinet.com\", 121, 0.0], [\"prodsec@nozominetworks.com\", 109, 0.0], [\"psirt@lenovo.com\", 108, 0.0], [\"security-alert@hpe.com\", 106, 0.0], [\"security@opentext.com\", 104, 0.0], [\"cve@jetbrains.com\", 103, 0.0], [\"psirt@autodesk.com\", 102, 0.0], [\"responsibledisclosure@mattermost.com\", 95, 0.0], [\"info@cert.vde.com\", 91, 0.0], [\"security@vmware.com\", 90, 0.0], [\"security@progress.com\", 89, 0.0], [\"f5sirt@f5.com\", 87, 0.0], [\"psirt@hcl.com\", 86, 0.0], [\"cvd@cert.pl\", 86, 0.0], [\"vdisclose@cert-in.org.in\", 77, 0.0], [\"report@snyk.io\", 76, 0.0], [\"psirt@nvidia.com\", 75, 0.0], [\"cna@cyber.gov.il\", 73, 0.0], [\"patrick@puiterwijk.org\", 72, 0.0], [\"PSIRT@rockwellautomation.com\", 72, 0.0], [\"psirt@paloaltonetworks.com\", 71, 0.0], [\"3c1d8aa1-5a33-4ea4-8992-aadd6440af75\", 68, 0.0], [\"security@ubuntu.com\", 66, 0.0], [\"security@trendmicro.com\", 63, 0.0], [\"scy@openharmony.io\", 61, 0.0], [\"0fc0942c-577d-436f-ae8e-945763c79b02\", 54, 0.0], [\"cybersecurity@ch.abb.com\", 53, 0.0], [\"security@unisoc.com\", 52, 0.0], [\"psirt@amd.com\", 51, 0.0], [\"cybersecurity@se.com\", 49, 0.0], [\"jenkinsci-cert@googlegroups.com\", 49, 0.0], [\"help@fluidattacks.com\", 49, 0.0], [\"security@synology.com\", 47, 0.0], [\"vulnreport@tenable.com\", 45, 0.0], [\"ecc0f906-8666-484c-bcf8-c3b7520a72f0\", 44, 0.0], [\"psirt@solarwinds.com\", 44, 0.0], [\"prodsec@splunk.com\", 41, 0.0], [\"secteam@freebsd.org\", 41, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 40, 0.0], [\"cve@asrg.io\", 40, 0.0], [\"security@liferay.com\", 40, 0.0], [\"product-cna@github.com\", 40, 0.0], [\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", 39, 0.0], [\"security@zoom.us\", 39, 0.0], [\"disclosure@vulncheck.com\", 38, 0.0], [\"hp-security-alert@hp.com\", 38, 0.0], [\"security@zyxel.com.tw\", 37, 0.0], [\"cve-coordination@google.com\", 36, 0.0], [\"sirt@brocade.com\", 36, 0.0], [\"security@checkmk.com\", 35, 0.0], [\"security@acronis.com\", 33, 0.0], [\"disclosures@exodusintel.com\", 32, 0.0], [\"security@golang.org\", 30, 0.0], [\"cybersecurity@hitachienergy.com\", 29, 0.0], [\"psirt@bosch.com\", 29, 0.0], [\"psirt@esri.com\", 28, 0.0], [\"reefs@jfrog.com\", 28, 0.0], [\"security@devolutions.net\", 28, 0.0], [\"office@cyberdanube.com\", 28, 0.0], [\"security@open-xchange.com\", 27, 0.0], [\"3DS.Information-Security@3ds.com\", 26, 0.0], [\"product-security@silabs.com\", 25, 0.0], [\"security@ni.com\", 25, 0.0], [\"security@atlassian.com\", 25, 0.0], [\"security@hashicorp.com\", 24, 0.0], [\"vulnerability@ncsc.ch\", 24, 0.0], [\"security@zabbix.com\", 24, 0.0], [\"cret@cert.org\", 24, 0.0], [\"meissner@suse.de\", 24, 0.0], [\"cve@rapid7.com\", 24, 0.0], [\"security@xen.org\", 23, 0.0], [\"cve-requests@bitdefender.com\", 23, 0.0], [\"secure@citrix.com\", 22, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 22, 0.0], [\"emo@eclipse.org\", 22, 0.0], [\"bressers@elastic.co\", 21, 0.0], [\"trellixpsirt@trellix.com\", 21, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 21, 0.0], [\"security@joomla.org\", 21, 0.0], [\"PSIRT@sonicwall.com\", 21, 0.0], [\"vulnerabilities@zephyrproject.org\", 20, 0.0], [\"cve@zscaler.com\", 20, 0.0], [\"arm-security@arm.com\", 19, 0.0], [\"psirt@honeywell.com\", 19, 0.0], [\"product-security@axis.com\", 19, 0.0], [\"paddle-security@baidu.com\", 18, 0.0], [\"cna@mongodb.com\", 18, 0.0], [\"productsecurity@jci.com\", 17, 0.0], [\"ff5b8ace-8b95-4078-9743-eac1ca5451de\", 17, 0.0], [\"psirt-info@cyber.jp.nec.com\", 17, 0.0], [\"security@puppet.com\", 17, 0.0], [\"security@php.net\", 17, 0.0], [\"psirt@zte.com.cn\", 17, 0.0], [\"hirt@hitachi.co.jp\", 17, 0.0], [\"df4dee71-de3a-4139-9588-11b62fe6c0ff\", 17, 0.0], [\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\", 16, 0.0], [\"security@openanolis.org\", 16, 0.0], [\"cna@python.org\", 15, 0.0], [\"psirt@moxa.com\", 15, 0.0], [\"biossecurity@ami.com\", 15, 0.0], [\"infosec@edk2.groups.io\", 14, 0.0], [\"disclosures@gallagher.com\", 14, 0.0], [\"security@grafana.com\", 14, 0.0], [\"csirt@divd.nl\", 13, 0.0], [\"security@mautic.org\", 13, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 13, 0.0], [\"ART@zuso.ai\", 13, 0.0], [\"vulnerability@kaspersky.com\", 13, 0.0], [\"secure@symantec.com\", 12, 0.0], [\"430a6cef-dc26-47e3-9fa8-52fb7f19644e\", 12, 0.0], [\"productsecurity@baxter.com\", 12, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 12, 0.0], [\"security@m-files.com\", 12, 0.0], [\"facts@wolfssl.com\", 12, 0.0], [\"responsible-disclosure@pingidentity.com\", 12, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 12, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 11, 0.0], [\"dc3f6da9-85b5-4a73-84a2-2ec90b40fca5\", 11, 0.0], [\"2499f714-1537-4658-8207-48ae4bb9eae9\", 11, 0.0], [\"security-alert@netapp.com\", 11, 0.0], [\"security@pandorafms.com\", 11, 0.0], [\"ot-cert@dragos.com\", 11, 0.0], [\"security@tibco.com\", 10, 0.0], [\"3f572a00-62e2-4423-959a-7ea25eff1638\", 10, 0.0], [\"13061848-ea10-403d-bd75-c83a022c2891\", 10, 0.0], [\"security-officer@isc.org\", 10, 0.0], [\"securities@openeuler.org\", 10, 0.0], [\"security@eset.com\", 10, 0.0], [\"xpdf@xpdfreader.com\", 10, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 10, 0.0], [\"cert@ncsc.nl\", 10, 0.0], [\"ff89ba41-3aa1-4d27-914a-91399e9639e5\", 10, 0.0], [\"security@otrs.com\", 9, 0.0], [\"psirt@sick.de\", 9, 0.0], [\"367425dc-4d06-4041-9650-c2dc6aaa27ce\", 9, 0.0], [\"907edf6c-bf03-423e-ab1a-8da27e1aa1ea\", 9, 0.0], [\"security@pega.com\", 9, 0.0], [\"f946a70c-00eb-42ce-8e9b-634d1f7b5a6f\", 9, 0.0], [\"security@vivo.com\", 9, 0.0], [\"171caf72-b841-4e04-a68e-93493aff2b94\", 9, 0.0], [\"security@openvpn.net\", 9, 0.0], [\"mlhess@drupal.org\", 9, 0.0], [\"openssl-security@openssl.org\", 9, 0.0], [\"security@octopus.com\", 9, 0.0], [\"36c7be3b-2937-45df-85ea-ca7133ea542c\", 9, 0.0], [\"5fea7123-217b-4b2d-ada8-8892719b43cd\", 8, 0.0], [\"bbf0bd87-ece2-41be-b873-96928ee8fab9\", 8, 0.0], [\"hsrc@hikvision.com\", 8, 0.0], [\"product.security@lge.com\", 8, 0.0], [\"cve@navercorp.com\", 8, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 8, 0.0], [\"vuln@krcert.or.kr\", 8, 0.0], [\"5d1c2695-1a31-4499-88ae-e847036fd7e3\", 7, 0.0], [\"80f39f49-2521-4ee7-9e17-af5d55e8032f\", 7, 0.0], [\"jordan@liggitt.net\", 7, 0.0], [\"psirt@sailpoint.com\", 7, 0.0], [\"psirt@teamviewer.com\", 7, 0.0], [\"CybersecurityCOE@eaton.com\", 7, 0.0], [\"security@xiaomi.com\", 7, 0.0], [\"PSIRT@samsung.com\", 7, 0.0], [\"secure@blackberry.com\", 7, 0.0], [\"cybersecurity@dahuatech.com\", 7, 0.0], [\"psirt@purestorage.com\", 7, 0.0], [\"c4f26cc8-17ff-4c99-b5e2-38fc1793eacc\", 7, 0.0], [\"security@hypr.com\", 6, 0.0], [\"productsecurity@carrier.com\", 6, 0.0], [\"psirt@servicenow.com\", 6, 0.0], [\"41c37e40-543d-43a2-b660-2fee83ea851a\", 6, 0.0], [\"10b61619-3869-496c-8a1e-f291b0e71e3f\", 6, 0.0], [\"cve@takeonme.org\", 6, 0.0], [\"psirt@wdc.com\", 6, 0.0], [\"security@nortonlifelock.com\", 6, 0.0], [\"disclosure@synopsys.com\", 6, 0.0], [\"103e4ec9-0a87-450b-af77-479448ddef11\", 6, 0.0], [\"psirt@okta.com\", 6, 0.0], [\"security@docker.com\", 5, 0.0], [\"2505284f-8ffb-486c-bf60-e19c1097a90b\", 5, 0.0], [\"security@documentfoundation.org\", 5, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 5, 0.0], [\"security@yugabyte.com\", 5, 0.0], [\"research@onekey.com\", 5, 0.0], [\"3ff69d7a-14f2-4f67-a097-88dee7810d18\", 5, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 5, 0.0], [\"sep@nlnetlabs.nl\", 5, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 5, 0.0], [\"85b1779b-6ecd-4f52-bcc5-73eac4659dcf\", 5, 0.0], [\"info@appcheck-ng.com\", 5, 0.0], [\"cve-assign@fb.com\", 5, 0.0], [\"vdp@themissinglink.com.au\", 5, 0.0], [\"cve-coordination@palantir.com\", 5, 0.0], [\"securityalerts@avaya.com\", 5, 0.0], [\"mandiant-cve@google.com\", 4, 0.0], [\"security-alert@sophos.com\", 4, 0.0], [\"cna@cloudflare.com\", 4, 0.0], [\"7bc73191-a2b6-4c63-9918-753964601853\", 4, 0.0], [\"a341c0d1-ebf7-493f-a84e-38cf86618674\", 4, 0.0], [\"info@starlabs.sg\", 4, 0.0], [\"cve-coordination@logitech.com\", 4, 0.0], [\"security@dotcms.com\", 4, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 4, 0.0], [\"596c5446-0ce5-4ba2-aa66-48b3b757a647\", 4, 0.0], [\"psirt@forcepoint.com\", 4, 0.0], [\"security@snowsoftware.com\", 4, 0.0], [\"psirt@thalesgroup.com\", 4, 0.0], [\"cve@checkpoint.com\", 4, 0.0], 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[\"b7efe717-a805-47cf-8e9a-921fca0ce0ce\", 2, 0.0], [\"4586e0a2-224d-4f8a-9cb4-8882b208c0b3\", 2, 0.0], [\"cf45122d-9d50-442a-9b23-e05cde9943d8\", 2, 0.0], [\"1443cd92-d354-46d2-9290-d812316ca43a\", 2, 0.0], [\"87c8e6ad-f0f5-4ca8-89e2-89f26d6ed932\", 2, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 2, 0.0], [\"57dba5dd-1a03-47f6-8b36-e84e47d335d8\", 2, 0.0], [\"d42dc95b-23f1-4e06-9076-20753a0fb0df\", 2, 0.0], [\"67325c3f-c596-46c5-a235-e1a1e73abe4e\", 2, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 2, 0.0], [\"cve_disclosure@tech.gov.sg\", 2, 0.0], [\"security@genetec.com\", 1, 0.0], [\"browser-security@yandex-team.ru\", 1, 0.0], [\"33c584b5-0579-4c06-b2a0-8d8329fcab9c\", 1, 0.0], [\"9947ef80-c5d5-474a-bbab-97341a59000e\", 1, 0.0], [\"a14582b7-06f4-4d66-8e82-3d7ba3739e88\", 1, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 1, 0.0], [\"54bf65a7-a193-42d2-b1ba-8e150d3c35e1\", 1, 0.0], [\"security@selinc.com\", 1, 0.0], [\"psirt@forgerock.com\", 1, 0.0], [\"36106deb-8e95-420b-a0a0-e70af5d245df\", 1, 0.0], [\"security.vulnerabilities@algosec.com\", 1, 0.0], [\"7bd90cf1-1651-495e-9ae8-9415fb3c9feb\", 1, 0.0], [\"info@cybellum.com\", 1, 0.0], [\"security@knime.com\", 1, 0.0], [\"security@baicells.com\", 1, 0.0], [\"psirt@tigera.io\", 1, 0.0], [\"20be33e2-bf35-4d13-8fad-18bd2f3e3659\", 1, 0.0], [\"incident@nbu.gov.sk\", 1, 0.0], [\"56c94bcb-ac34-4d7f-b660-d297a6b7ff82\", 1, 0.0], [\"db4dfee8-a97e-4877-bfae-eba6d14a2166\", 1, 0.0], [\"001d69cf-3fc9-4203-93fb-9865b54e05b2\", 1, 0.0], [\"cybersecurity@bd.com\", 1, 0.0], [\"96148269-fe82-4198-b1bf-3a73ce8bc92e\", 1, 0.0], [\"cb7ba516-3b07-4c98-b0c2-715220f1a8f6\", 1, 0.0], [\"security@1e.com\", 1, 0.0], [\"88ee5874-cf24-4952-aea0-31affedb7ff2\", 1, 0.0], [\"sec@hillstonenet.com\", 1, 0.0], [\"1d66c9f9-fff2-411a-aa19-ca6312fa25e9\", 1, 0.0], [\"0a72a055-908d-47f5-a16a-1f09049c16c6\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -841,10 +839,10 @@
    "id": "8af1def8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:11.517958Z",
-     "iopub.status.busy": "2024-09-13T08:25:11.517639Z",
-     "iopub.status.idle": "2024-09-13T08:25:11.524176Z",
-     "shell.execute_reply": "2024-09-13T08:25:11.523721Z"
+     "iopub.execute_input": "2025-02-02T04:24:22.781866Z",
+     "iopub.status.busy": "2025-02-02T04:24:22.781673Z",
+     "iopub.status.idle": "2025-02-02T04:24:22.788872Z",
+     "shell.execute_reply": "2025-02-02T04:24:22.788335Z"
     },
     "tags": [
      "remove-input"
@@ -854,7 +852,7 @@
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+       "<table id=\"itables_2e575415_afc0_4507_84dc_27d4dace9cb2\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -863,7 +861,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
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@@ -954,24 +951,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_2e575415_afc0_4507_84dc_27d4dace9cb2:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_6b2238e3_518d_4b85_a512_97737ef1c23f:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
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[\"CWE-522\", 58], [\"CWE-843\", 55], [\"CWE-1321\", 54], [\"CWE-754\", 53], [\"CWE-307\", 52], [\"CWE-203\", 51], [\"CWE-367\", 50], [\"CWE-835\", 48], [\"CWE-908\", 47], [\"CWE-404\", 47], [\"CWE-80\", 47], [\"CWE-126\", 46], [\"CWE-327\", 46], [\"CWE-613\", 44], [\"CWE-415\", 41], [\"CWE-755\", 40], [\"CWE-1333\", 39], [\"CWE-319\", 38], [\"CWE-129\", 38], [\"CWE-312\", 37], [\"CWE-693\", 36], [\"CWE-347\", 36], [\"CWE-345\", 35], [\"CWE-552\", 34], [\"CWE-73\", 34], [\"CWE-209\", 33], [\"CWE-668\", 33], [\"CWE-749\", 33], [\"CWE-116\", 32], [\"CWE-259\", 31], [\"CWE-250\", 31], [\"CWE-311\", 31], [\"CWE-346\", 31], [\"CWE-288\", 30], [\"CWE-256\", 29], [\"CWE-23\", 28], [\"CWE-266\", 28], [\"CWE-281\", 28], [\"CWE-326\", 28], [\"CWE-457\", 26], [\"CWE-426\", 24], [\"CWE-191\", 23], [\"CWE-521\", 23], [\"CWE-428\", 22], [\"CWE-384\", 22], [\"CWE-321\", 22], [\"CWE-29\", 22], [\"CWE-665\", 21], [\"CWE-280\", 21], [\"CWE-674\", 20], [\"CWE-822\", 20], [\"CWE-88\", 19], [\"CWE-444\", 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[\"CWE-657\", 1], [\"CWE-1223\", 1], [\"CWE-265\", 1], [\"CWE-249\", 1], [\"CWE-828\", 1], [\"CWE-275\", 1], [\"CWE-465\", 1], [\"CWE-242\", 1], [\"CWE-826\", 1], [\"CWE-177\", 1], [\"CWE-173\", 1], [\"CWE-925\", 1], [\"CWE-66\", 1], [\"CWE-528\", 1], [\"CWE-371\", 1], [\"CWE-842\", 1], [\"CWE-235\", 1], [\"CWE-337\", 1], [\"CWE-539\", 1], [\"CWE-147\", 1], [\"CWE-527\", 1], [\"CWE-441\", 1], [\"CWE-172\", 1], [\"CWE-784\", 1], [\"CWE-394\", 1], [\"CWE-1250\", 1], [\"CWE-615\", 1], [\"CWE-1025\", 1], [\"CWE-1057\", 1], [\"CWE-199\", 1], [\"CWE-127\", 1], [\"CWE-764\", 1], [\"CWE-550\", 1], [\"CWE-83\", 1], [\"CWE-182\", 1], [\"CWE-1342\", 1], [\"CWE-1303\", 1], [\"CWE-1270\", 1], [\"CWE-692\", 1], [\"CWE-386\", 1], [\"CWE-570\", 1], [\"CWE-686\", 1], [\"CWE-57\", 1], [\"CWE-656\", 1], [\"CWE-544\", 1], [\"CWE-566\", 1], [\"CWE-786\", 1], [\"CWE-641\", 1], [\"CWE-366\", 1], [\"CWE-1247\", 1], [\"CWE-1335\", 1], [\"CWE-1264\", 1], [\"CWE-920\", 1], [\"CWE-431\", 1], [\"CWE-141\", 1], [\"CWE-627\", 1], [\"CWE-360\", 1], [\"CWE-289\", 1], [\"CWE-1050\", 1], [\"CWE-1051\", 1], [\"CWE-414\", 1], [\"CWE-372\", 1], [\"CWE-1281\", 1], [\"CWE-1298\", 1], [\"CWE-1260\", 1], [\"CWE-1255\", 1], [\"CWE-205\", 1], [\"CWE-1283\", 1], [\"CWE-563\", 1], [\"CWE-1262\", 1], [\"CWE-179\", 1], [\"CWE-624\", 1], [\"CWE-832\", 1], [\"CWE-473\", 1], [\"CWE-1246\", 1], [\"CWE-154\", 1], [\"CWE-166\", 1], [\"CWE-1304\", 1], [\"CWE-1389\", 1], [\"CWE-491\", 1], [\"CWE-556\", 1], [\"CWE-21\", 1], [\"CWE-40\", 1], [\"CWE-760\", 1], [\"CWE-81\", 1], [\"CWE-237\", 1], [\"CWE-702\", 1], [\"CWE-1251\", 1], [\"CWE-128\", 1], [\"CWE-600\", 1], [\"CWE-84\", 1], [\"CWE-69\", 1], [\"CWE-562\", 1], [\"CWE-837\", 1], [\"CWE-1037\", 1], [\"CWE-765\", 1], [\"CWE-393\", 1], [\"CWE-694\", 1], [\"CWE-11\", 1], [\"CWE-260\", 1], [\"CWE-1022\", 1], [\"CWE-638\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1012,10 +1008,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:11.526435Z",
-     "iopub.status.busy": "2024-09-13T08:25:11.526099Z",
-     "iopub.status.idle": "2024-09-13T08:25:11.709958Z",
-     "shell.execute_reply": "2024-09-13T08:25:11.709401Z"
+     "iopub.execute_input": "2025-02-02T04:24:22.790644Z",
+     "iopub.status.busy": "2025-02-02T04:24:22.790344Z",
+     "iopub.status.idle": "2025-02-02T04:24:23.049937Z",
+     "shell.execute_reply": "2025-02-02T04:24:23.049308Z"
     },
     "tags": [
      "remove-input"
@@ -1032,26 +1028,32 @@
       "CVE-2002:\t0\n",
       "CVE-2003:\t0\n",
       "CVE-2004:\t0\n",
-      "CVE-2005:\t0\n",
+      "CVE-2005:\t1\n",
       "CVE-2006:\t0\n",
       "CVE-2007:\t0\n",
       "CVE-2008:\t0\n",
       "CVE-2009:\t0\n",
       "CVE-2010:\t1\n",
       "CVE-2011:\t2\n",
-      "CVE-2012:\t1\n",
+      "CVE-2012:\t2\n",
       "CVE-2013:\t0\n",
       "CVE-2014:\t3\n",
-      "CVE-2015:\t6\n",
-      "CVE-2016:\t5\n",
-      "CVE-2017:\t8\n",
-      "CVE-2018:\t8\n",
-      "CVE-2019:\t29\n",
-      "CVE-2020:\t75\n",
-      "CVE-2021:\t901\n",
-      "CVE-2022:\t615\n",
-      "CVE-2023:\t4915\n",
-      "CVE-2024:\t21586\n"
+      "CVE-2015:\t7\n",
+      "CVE-2016:\t10\n",
+      "CVE-2017:\t33\n",
+      "CVE-2018:\t113\n",
+      "CVE-2019:\t48\n",
+      "CVE-2020:\t154\n",
+      "CVE-2021:\t986\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2022:\t827\n",
+      "CVE-2023:\t5398\n",
+      "CVE-2024:\t33119\n"
      ]
     }
    ],
@@ -1090,10 +1092,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:11.712276Z",
-     "iopub.status.busy": "2024-09-13T08:25:11.711910Z",
-     "iopub.status.idle": "2024-09-13T08:25:11.716006Z",
-     "shell.execute_reply": "2024-09-13T08:25:11.715433Z"
+     "iopub.execute_input": "2025-02-02T04:24:23.051640Z",
+     "iopub.status.busy": "2025-02-02T04:24:23.051459Z",
+     "iopub.status.idle": "2025-02-02T04:24:23.055341Z",
+     "shell.execute_reply": "2025-02-02T04:24:23.054893Z"
     },
     "tags": [
      "remove-input"
@@ -1103,7 +1105,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:25:11.712960**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:24:23.052366**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1135,7 +1137,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVEAll.ipynb b/CVEAll.ipynb
index c07925b92d..08cf0d1e71 100644
--- a/CVEAll.ipynb
+++ b/CVEAll.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:20:39.481584Z",
-     "iopub.status.busy": "2024-09-13T08:20:39.481410Z",
-     "iopub.status.idle": "2024-09-13T08:20:40.649860Z",
-     "shell.execute_reply": "2024-09-13T08:20:40.649270Z"
+     "iopub.execute_input": "2025-02-02T04:19:06.934700Z",
+     "iopub.status.busy": "2025-02-02T04:19:06.934521Z",
+     "iopub.status.idle": "2025-02-02T04:19:09.758419Z",
+     "shell.execute_reply": "2025-02-02T04:19:09.757822Z"
     },
     "tags": [
      "remove-input"
@@ -99,10 +99,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:20:40.652385Z",
-     "iopub.status.busy": "2024-09-13T08:20:40.651978Z",
-     "iopub.status.idle": "2024-09-13T08:21:00.675022Z",
-     "shell.execute_reply": "2024-09-13T08:21:00.674348Z"
+     "iopub.execute_input": "2025-02-02T04:19:09.760565Z",
+     "iopub.status.busy": "2025-02-02T04:19:09.760145Z",
+     "iopub.status.idle": "2025-02-02T04:19:34.225297Z",
+     "shell.execute_reply": "2025-02-02T04:19:34.224724Z"
     },
     "tags": [
      "remove-cell"
@@ -221,10 +221,10 @@
    "id": "fb2368b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:00.677521Z",
-     "iopub.status.busy": "2024-09-13T08:21:00.677324Z",
-     "iopub.status.idle": "2024-09-13T08:21:00.716906Z",
-     "shell.execute_reply": "2024-09-13T08:21:00.716322Z"
+     "iopub.execute_input": "2025-02-02T04:19:34.227685Z",
+     "iopub.status.busy": "2025-02-02T04:19:34.227279Z",
+     "iopub.status.idle": "2025-02-02T04:19:34.269457Z",
+     "shell.execute_reply": "2025-02-02T04:19:34.268959Z"
     },
     "tags": [
      "remove-input"
@@ -234,7 +234,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **262756**<br />Average CVEs Per Day: **29.12**<br />Average CVSS Score: **7.11**"
+       "Total Number of CVEs: **279759**<br />Average CVEs Per Day: **30.53**<br />Average CVSS Score: **6.91**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -268,10 +268,10 @@
    "id": "39c9867a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:00.719225Z",
-     "iopub.status.busy": "2024-09-13T08:21:00.718878Z",
-     "iopub.status.idle": "2024-09-13T08:21:00.763588Z",
-     "shell.execute_reply": "2024-09-13T08:21:00.763086Z"
+     "iopub.execute_input": "2025-02-02T04:19:34.271525Z",
+     "iopub.status.busy": "2025-02-02T04:19:34.271187Z",
+     "iopub.status.idle": "2025-02-02T04:19:34.318867Z",
+     "shell.execute_reply": "2025-02-02T04:19:34.318297Z"
     },
     "tags": [
      "remove-cell"
@@ -303,10 +303,10 @@
    "id": "a776139d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:00.766231Z",
-     "iopub.status.busy": "2024-09-13T08:21:00.765861Z",
-     "iopub.status.idle": "2024-09-13T08:21:01.199512Z",
-     "shell.execute_reply": "2024-09-13T08:21:01.198882Z"
+     "iopub.execute_input": "2025-02-02T04:19:34.321184Z",
+     "iopub.status.busy": "2025-02-02T04:19:34.320841Z",
+     "iopub.status.idle": "2025-02-02T04:19:34.774581Z",
+     "shell.execute_reply": "2025-02-02T04:19:34.773946Z"
     },
     "tags": [
      "hide-input",
@@ -316,7 +316,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -350,10 +350,10 @@
    "id": "endless-cylinder",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:01.202122Z",
-     "iopub.status.busy": "2024-09-13T08:21:01.201752Z",
-     "iopub.status.idle": "2024-09-13T08:21:01.401213Z",
-     "shell.execute_reply": "2024-09-13T08:21:01.400648Z"
+     "iopub.execute_input": "2025-02-02T04:19:34.776569Z",
+     "iopub.status.busy": "2025-02-02T04:19:34.776379Z",
+     "iopub.status.idle": "2025-02-02T04:19:34.981392Z",
+     "shell.execute_reply": "2025-02-02T04:19:34.980904Z"
     },
     "tags": [
      "remove-input"
@@ -362,7 +362,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -398,10 +398,10 @@
    "id": "common-louis",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:01.403372Z",
-     "iopub.status.busy": "2024-09-13T08:21:01.403185Z",
-     "iopub.status.idle": "2024-09-13T08:21:01.670307Z",
-     "shell.execute_reply": "2024-09-13T08:21:01.669710Z"
+     "iopub.execute_input": "2025-02-02T04:19:34.983456Z",
+     "iopub.status.busy": "2025-02-02T04:19:34.983118Z",
+     "iopub.status.idle": "2025-02-02T04:19:35.208105Z",
+     "shell.execute_reply": "2025-02-02T04:19:35.207590Z"
     },
     "tags": [
      "remove-input"
@@ -410,7 +410,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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aN26cqZs6AACAU5m/0zWsShYAAOoi60RDEclwDYcP1wace/cejmCbtZd9BZj+ZmOPd2Wnrd3Yv/vuOw0YMMB73RNAXn/99ZowYYLuv/9+lZaW6pZbblFhYaH69u2r6dOnq0mTJt7HTJw4UXfccYcuvPBCNWrUSFdccYX+7//+z3t/y5YtNXPmTI0aNUq9evXSscceq9GjR+uWW26J3xMFAACIA6pZAAANHedCIDSRDPdgDFjrBphr1uzV668vr/sQSVJ1te8QNFZsDTv79+8f8I0oJSVFjz/+uB5//HG/yxxzzDGaNGlSwO307NlTCxcujLidAAAAiYovdQCARGLHecm4TU6LcJqUFHuO20gqQ40PqRt2du/+qt/HNahu7AAAAIgOX+oAAInK7uATgJnx5RFB1lmnG3vo1ZpMUAQAAICQhVvNUlFRpT/96Qt98smaGLYKAAB7kHXCaSKpsDzyuPAfY/zcGFllp/9u7IEQdgIAACBk5llvg3+QfPXVb/XOO3n63e8+imGrAAAAkGiM3cmjr+wk7AQAAEAMmCs7g3+QzM8viWVzAAANnPlHODu2T2knnCXCws6IWBk6hrOueL8sCTsBAAAcjO90AIDEZceYnXHfJBCVSLuxRyLasDPSbuzxRtgJAADgYOGO2RnPD9QAAMQblZ2Af8aAMtrZ2MOZoCjeCDsBAAAcLNzvdHwJBADEUrg/wlm//fhvE4hGOJljtJ/jjGFnJOuishMAAAAxZ/eXSgAAEgk/6iGZmSszo3t8JKjsBAAAQMzxnQ4A0NAZq804L8JpwulOHm1YaWVAWVWVuC82wk4AAAAAAGAJu8NGKjuRzMxhZ/ilnVZOUFRVVRucJtrrjrATAADAwczd2MP7oJloH0wBAMmFMTuB4MIbszO6bRnDzkiCT2NbXa5qw+XE6tJO2AkAAOBg0Xzo5QshACC24n+i4Yc8JIvvvtulq6/+RFu2FHpvs3LMTmNlZqj8VXYag89EkGZ3AwAAABC5cCcoMo9r5lYkXaAAAPDH7rCRrBNO42/MzrPP/o8kaf78Ldq162+Sou+Gbnx8dXV0lZ3msJPKTgAAAFjE+KUu3C94fCEEAMSSPd3YObnVtWrVHu3YUWx3MxCh3btLvJdDPb6Lisp9TkZkDDgjqew0MgaclZWJVdlJ2AkAAOBg5g+9jNkJAEgcjNlpvx07itWjx3h17Pii3U1JekVF5TrppJd0993Tw3pcON3RQ6ns3Lq1UK1aPaNevd4I+Phou7Ebw9RE68ZO2AkAAOBgVHYCAFCLH/LMVq4s8F5et26fjS1Jfm+8sVw//3xA//73NzE7DkMJO//731WSpB9/LNDevaX68MNVKitz1Xt8ZGFn7WW6sQMAACAmovkwHe24TwAA1GV313WyTv8qKqrsbkJSi3Q8TH9jdvoSyvFtbMfFF0/WVVd9omuv/bTefdEyBpxUdgIAAMAy0c3GzjdCAEDs2HGe4dzmH7smtho18j1TuZVCmY3d+Hf+5pudkqRPP11X7/HRMnZjZ8xOAAAAWMZczRLumJ1WtwYAACSScKoGk8XChVt9Ts4Ta5GGnVaP2RloGStnczdXdtKNHQAAABYJd8xO4wdqql8AAFaz+9zCqQ39+k3Q3XfPiPt241HZaX59+U5JAwWa0YbAxs0zQREAAAASDl8IAQDJxu6wFYnhpZeWxX2bkVd2hl7amUiVnUxQBAAAgJgItxu7uRKUL4QAgNixZ7Ki+G8TkBpeN3bjc2TMTgAAAFgm3G7sRszGDgCwmt1hIz/k+ce+ia34dGMPZZnYhZ3GddONHQAAADERzRcXvvMAAJIN5zb/YhXA4Qhjd/Rk7cZeXU03dgAAAMRYNJWdVHgAAGLJjvMM5zYzY45Gj47YMlZ2Bqp03Lq1UBdd9IFmzdoU9jaiDTuNYWUkzN3YjTOzU9kJAAAQlfz8Eu3ZU2p3MxJCuF/qzLOxW9wYAABsxrnNzFg1SNjpX02NW2PGLNS8eVsiXkdqau2+DjSG5R//+IVmzNioQYPelxTemJ2hfO6LZWXnO+/keS8bu7En2pidaXY3AAAAIBzl5VVq1+55SVJl5cNKT0+1uUX2Mn/mDe8DLNUvAACr2X1usXv7iawmsXoaJ5SPPlqtv/99jiTJ7f5nROswVnZWVASu7IyU3d3YjYxd1z2XU1IS4wcHKjsBAICj7N1bW9H5xRfrbWxJYjDPxh7uYy1uDAAABszGnlhqEjDt3Lq1UEuX7rC7Gdqw4YD3cqSBuTnsrPK7XN3xPI3Vt/62vX79Pv34Y36dsNL3svEKOxN5giIqOwEAgGMVFpbZ3QTbmcfspLITANCwcW7zL9rxGmPhF78YJ0latuwmnX328Ta35oiaGrepS3qoQq3srPt3qDvEkK9u7aec8ookadGiG4yP9Ll+O8LOROvGTmUnAABwFL7DmBm/1IVbsMHYXQAAq9l9nrZ7+4kskWdjv+++HLub4BXp5yMrKjuDbfutt34I2o5ArwFjQBkt8wRFiXVsEXYCAAA4WHRjdlraFAAAbEdlp39VVYlVfWd0+LDL7iZ4RVoBazz0AlV2Bgqdg4WdZWXB91Mid2MPZzKmaBB2AgAAR4nXhyQnCvcDLF8IAQCxZMd5hlObf8ZKPJgZqysPHizTF1+sC7trtvFzWKDKzrrVlcbPtlaEkfELO2vXtXlzYUiPIewEAAAIiuQz3AmKzIPgx6JFAICGzO4f0uzefqIx7g8ruzA7WbBj5Iorpuiyyz7UTTf9L6z1GoPEQEFpNJWdoUxQFM36w+GpFK6qqtGkSSuPtCjI6gk7AQAAfIhmQp5kxARFAICGjtOZf8ZwK5HDzniFYC5XtXr2fE0XXzzZ7zK5uUdmh3///RVhrdtc2Rl62BnOmJ2hhJWBupTHorIzP79Ee/ceDvFR8flDE3YCAADHIqwLv7LT/FiLGwMAgIEd55lQtllaWhmTzxB33DFNDz00y/L1RsMYbiVrN/Zw/paLF2/XqlV7NHXqT9q6tdDSdsSjstP8VH0Hh4EmC7K2svPIdsLp7h+vUDstPpsBAABALBg/9DJmJwCgoaupCVy9uHr1Hp166nhdeunJ+vzzqyzb7pYthXrllW8lSTfddKZOPPEYy9YdDXPYmbiVndEI5+OM8bPPrl2H1KlTK0nWhHDBws5//GO23O76EyCFM2ZnKJ/dAoWPkU6+FGhdoU5OJEkZGSmq8j+cqWUIOwEAgGOR1YVf2Wlc3spf9wEAkOw/NwfJOvX887mSpC++WG/pdo0T0nz77S7CzjhKlM8zgcLOwsJyPfXUIp+Ps6obe3l5lfbtOxywsjOcYDIYz7AIgbZXV3p6fEo7CTsBAIBjUZkY7ZidFjcGAAADO87TwSo7GzWKTdhingAwcU6wzhmzM/K/S6Rhp9V/p0BhZ6hBczRhZ/fur2rTpoM68cSjfd6/fv0+3XTTlyG1IxSe4yncWevjgTE7AQCAYyXQdwnbmCs76cYOAGjYglV2xirsNPeciMkmImI81VvZhTmRRBriWl0RamxH3QDQX5brdrvD6sYeaDb2TZsOSpI2bjzo87H332/teLKRdGOPF8JOAADgKNFMyJOMzJWdwZc3V57EoEEAgAbN7h/SglV2pqbGvhttSkrinGCdUtkZjUhDS6vDTuP66gaA/rZV9/ZgbTIG1uG+1Kz++9eGnYl3XBF2AgAARyGgM6OyEwCAWsFObcYf/awMf8zrtWy1UTOHncl53k/EsLNuZae/fV9QUBLWmJ3GYzbcrv+xqGStqKiishMAACBaxg9qhHV1Z2OP/LEAAFjNjvNMsM8Gxm7ssapIS6TPJ4k8QZFV+ynSEM/q8Ndc2Wne1/72/fHHv+h3Hb5E02arn+/06RvUrNlTWrRoW8iPiWZs1nAQdgIAAEeJppIx+VHZCQCwl92nlmA//Bm7sceqIi1YV/p4Suyw05r1WFHZaUUIV7eyc9euQ97rgaqIjX+XcMbsDPdznNXd2PPzS1VT49bo0fNCWr5RHBNIwk4AAOAo4Y5RmeyimRDB6u5MAADYLZzZ2GM1i3QifT5J5DE7rfocEnnYacnmfbbj44/X6PjjX9CLL+ZKClxVaXxcON3Yw2X33z9ORZ2SCDsBAIDDENCZmcPf8PYN+xIAEEt29CAIZzb2RJxYxWqJPGan3WFnVZW1YbexHXv3HpYk3XPPTFVV1WjChDy/jzOGkOHNxh78diO7j3fjay/m24rblgAAACzAbOxm0ewPwk4AQLIJdm5LTa2NQazsxm6sWkuk8yuVnf6XtXoYA39h8ssvL9MTTyzw+7hwurH7m409lOcS67A7WOUmlZ0AAAB+0I3dLNzKTuMHzUSr8AAAOJ/d40EH277xPGhlN3bzhIGJc36lstPMuA+srnT0144ZMzYGfJwx7AwWSPvbRijHst1jtlLZCQAA4If5S0xifWi3QzQTNiXSBAoAgORjR+4ZLPgyBi7l5VUx2a7dga+ReTzIxDrvmycIinw94YS4xjAxXmFnsJDRHHaGMxu7eUKk4O1rOGN2psVvUwAAANEzf5mwsSEJIppKV/YfACDZhBN2Hj7ssmy70UwYGEvmbtuJdeK3u7LTGDJaEcRFGnb6a5PvZWvvd7ultWv36pZbpqpVqyZB21dVZe/fn7ATAADADwI6s+gqO9mZAABr2X2eDrZ945idVoadiVTZuWJFgYYNm6iHH+5nut3uyr667Ak7a/dBpBMUud1u3Xjj//SLX7TS6NHnB21HOGODhtuN/Q9/+FirVu2xZN2xRjd2AAAAP8yVE4R10VR22v2hFwCQ3OIV+oXzw188urHb7YYbvtDOnYd0++1fMWZnHdGM2blzZ7E++mi1vv12l955J0///Oc87d1bGrQd4YyVGU4VqNstrVmz17J1xxqVnQAAAH7YXTGSaMKt7DRPoBCLFgEAYJ9gwZfxXFlWZmU39trLdoeKxkpCp8zGnhJFEhZpZacx7Azl82WPHuN18GC5fvObX3lvW716j/r37xywHdaGneb7Iw167UBlJwAAgB+J1E0sEURT2ZlIVSgAgORg97k52LnNGPgcPpycExQZg0NjW+wOu+qyahx2K8bsDOVvdvBguSRp6tSfvbcZq4OtCDuDT1BkXFd4Oy2c7vSxEM/KTsJOAADgKOZKRhsbkoBC2R/GD5qEnQAaqr17S/Xdd7vsbkaD9emna9W//wTt2FFs+bqD9VowhkVWdmNP1GF2zLOxJ067pNh3Y/d1u/HvX1RUrldeWaa9e0sjDoKNgbm/ylkrKzuNkwyF+zk4lBnboxGsPYSdAAAAfpgrGRPrQ7sdopugKLG6swFAvLRr97zOPvs/mjlzo91NSWr+TktXXDFF8+dv1fnnT4jBNoOFRbX3V1Qka2Vn7WVjuyKdkCdWrNpn4VRUGkPNl1/+Vnfc8bX69n0nYPA6depPGjp0os/7jEMhWFPZGd5s7OGIddgZDN3YAQAA/Ei0qgS7RdeN3dq2AIBTeAKPO++cZnNLGrZNmw5ash5zuBd4WXM39tjMxi7FsYTNB2M39lAmKFq/fp8efniODhwoi3nbjIJ9pvvxx3w99NAsvf32DyooKPG7nL+A0Nftxtv27TssSfrpp/0B23LxxZM1ffoGn/eVlVnbjd1YuemLeYKicLux2z0be/y2xQRFAADAUejGbhZNZafdlScAYLdDhyrtbkLSsePUYp58z60775ym7t3b6Lbbzqq3rDHsqqiwrtLN3IbE+TUxlG7sPXu+psrKas2evUm5uTfFq2lBw87TT3/de/nYY5tq7977w1qPr3DXX+Ab6Y/poYzZuXVrUcjrmzt3s/r27ajmzRv7vD+ayk4rK5kjEc0kVOGishMAADgK3djNoqnsTLRZWQEg3jiNxJYd5+nvv9+tl1/+Vrff/pXPyk1j2BWrbux2Z53+urH7C/o83ZuXLt0Z03bVFc4ERfv2+a869R92Bq7sDOX2YKyeoOiZZxbr4osn+33tRDPJlJXhfiTiOWYnlZ0AAMBRCDjNohuz0+rWAICzcE5JDsY/Y3Fxuffy9u1FOvnkYyVJEyeu0Pr1+2M2QVEijdlpZA5hE+vEb95P1o/ZmSiVneGaO3eL3/A30f6G4aAbOwAAgB+J+mXCLtFUdrL/ADR0vA1az45zi3kmdN/LXHvtZ5Kkk09u7b3N2m7siTPMTrhjdlqhoqJKK1YUqFev9iFPRBNOZWeo6zG66qqPVVrq0sKFN3jb5K+CM9Kg0lgdbOW48uHMMO8UdGMHAADwI5pwLxmFW9lp/KAZyy89AOAE/OgTW/HavXXH7PTwnPNcrtpQc/fu2oluGtps7LE871955cf69a/f1D/+MTvkx1gV3PlbT07OJi1Zsl0TJuR5b/O3DyKt+DRWdlq5f/13t+c9KxSEnQAAwFHs/gKRaKKbjZ19CaBh430wOQT74a+wsLZre5MmtR1cYzdBkd1hZ/wrO7/4Yr0k6emnF4f8mFiHnR5Ll+7wXg63sjPYWJ6x6MYeaLt2H1vRiOds8ISdAADAURKpciIRmLvuBd8f0YzxCQDJhrdB6yXCbOwensxv//7ayW2MXaw9E/NYIV6hYij8VXYm2niPse7G7lFUVOG9HG4FZ7C/pTEwtzKINLbZyMlhZ0ZG/CJIwk4AAOAodGM3C3+cztrLTv7ADADW4H0wGQQbs/PAAeNM3rXLVlbGpht7pDN7x4I57Eys492qH7CDBZLFxcawM7yKyWAzqRsDcyv379ixvitkE+1vGI4ePVrEbVuEnQAAwFGMH4btrpxINKF8T2D/AUCtBCt0Szrx6kFg3kz9cM8Ydhr/5pWV1h0A8Ty/ut1uTZ68UuvW7fN5vx3d2CNhVWVnsECypKTSe9n/mJ3+xsi0pxv7v//9jZ/21N9GHOf9icpllx0Xt20RdgIAAEcxV3Ym1od2O4TbLZ39BwC1eB+0nv2zsdcP9/bvP2y4rTa8snLMzngOs/O//63XiBGfqmfPN4IuawzHEq0q0Kr2GCeg8uXQocgrO3fvPhRw3Z6wc/bsTZo8eVXAZa2QSFXD4WjSJEVt22bEbXtpwRcBAABIHIzZaRZut/5wx/gEgGTGaSQ5mIdoqb3sCcGMlZ3GKsBgIVk44tmN3Tjhji/GSj/j80208364n+lqatymMVc9go29WlJSqYqKKu3adSjsMTu7dn014LorKo6EnQMHvh9wOaskWnVuqFLiXH5KZScAAHAUumGbhVvZmchjdwFAvPGjWXLwdy70BH3+wk4rJygyHkqx+Hyyd2+pnntuiQoKSoKev/13Y0+sqsBwP4f4C6eD/R0PH3Zp6NCJ+uUv/085OZt8LlNVFdnfzMrqYFiHsBMAADgKExSZhV/ZWXuZsBNAQ8d5JDn4O7d5QrCDB8u9txnDTivDv0jHxtyzp1QDBryrSZNWmm7//PN1mj9/i/f673//ke67L0f9+0/wu/6yMpcOH3aZKjuNzzHRzvvhjtnpcvn+ewULO8vLqzR37hZJ/qtiIz0WPJWdSCyEnQAAwFHM3bATq0LBDuGP2WnNZAAAkAyo7LSeHT9K+jsXekJBYxhmDAqtrMA095wI/fPJAw/M0rx5W3TNNZ96b9u2rUi//e2H6t//XW84O3/+VknSunX7fYaW1dU1OvroZ9SixRhToOuUbuyh8DcRkb8Q1MM4iZA/wdbhj5XVwZHibaw+wk4AAOAoVs3cmSzCnXDIXP1CWAygYeM8khz8VXZ6uj2bw07fQWD0bTCGnaE/rqCgpN5txklxFi7cWu9+XyHhoUOVqqioVk2NW1u3Fnlvj1W4a4W6Y3bu23dYkyev9BtORtqN3djVPDXV99iRkVZ2VlbyWSoRMUERAABwlFiPieU04VYlMeYpANSisjM5+Ou14KnWM1btxepzRKRjYhvb1rPneP3tb9k6+eRjA64r2G3mc721lZ1VVTVKTU2xZMKZuu35zW8m6Ztvdio7u4OGDu1Sb/lIu7GH8rwjnayqspJu7ImIyk4AAOAo4XbbTnbRVHay+wA0dLwPWi+W5+a77pquyy77b73wyl9lp6dy01+QZeWYneYQNfT1Gtu2cuUe/fGPX5ju99dlvS5jlap5zE7rJiYsKalU587jdMklk6Naj6/2uN1uffPNTklSbu4OjR49r97yVVU1Kiws1/PPL9GOHcXe28PpSu4v4I60yjfS7u+ILSo7AQCAozCbuFm4Y3Cau9mx/wAAsWN18Dlu3DeSpPHjv9WoUb/W9OkblJLi/9zmqxu7UaJVdvriaxf6Wr/xOfoLXqN9vl9+uV47dhRrx45i7d9/WK1bN4tqfeEOTVRZWaVbb83RlCmrNXbsEhUU3Csp8qpMo0jDzsrKau3ffzjq7cNaVHYCAABHCbeSMdmFO7s6s7EDQC3OI840b94WlZRUaujQibroookqK6vtSmweo7J+N3ajRJiN3VdQZzwuq6rq3+/r/G1cj7+2RHu8p6XVRkjGGe4j5a/rvT8VFdX66qufJB2Zxd7DikmCjON6hmPHjmIde+yzUW8f1iLsBAAAjhLpBAA4gspOAA1duBXxCE+s9qnx7+Zy1ejQoQrvdWNVnjHArB2z03eQZeV5MNLza7CKQl/BabDKTnPYac2YnW63W2vX7vNet6Ka0vwDbPDly8pcPm+3IuwMZcZ2X3gPSUwJHXY++uijSklJMf075ZRTvPeXl5dr1KhRat26tY466ihdccUVKigoMK1j27ZtGj58uJo1a6Y2bdrovvvuU1UVA8gCAOBUVCaahd+N3fdjAaChCLeaDJGzcvfW7Z7ub92+ZluPVTf2sWMX68EHZ9VrX7Td2I2T//ges9NXZafvSZiqqqz5kfOZZxbrn/+c571urKaNVLivxfLyKp8TI9kZdiIxJXTYKUndu3fX7t27vf8WLVrkve/uu+/Wl19+qY8++kjz58/Xrl27dPnll3vvr66u1vDhw1VZWaklS5bo3Xff1YQJEzR69Gg7ngoAALAAX1LNwp+giMpOAA1buOMEIjEYA74jYWfwiWZqJyiyvht7RUWVHnhglp55ZrEWLtxWJ+yMbIIiX7dVV7vrPVfjtn76qVQ33PA/bd1a6L3N3A3emsrO0aPnmq4XF9d2Y6/bvrfe+j6kdYYbEJeX+/67WzFJEGFnckn4CYrS0tKUlZVV7/aioiK99dZbmjRpki644AJJ0jvvvKOuXbtq6dKl6tOnj2bOnKk1a9Zo1qxZatu2rU4//XQ98cQTeuCBB/Too4+qcePG8X46AAAgSoR1ZtFUdrL/ADRE5vc+3gedom73dH/dv42haCxnY8/PL/FeXrBgizp3PtpnG4LxFdQZqyZratwqLTV33zYew/ff/7MkaeLEVT63728sz3DVfU5FRb6HEZCkm276UjfeeGbQddYNO5s1S9fhw767qktSeXnsurFHOmYnElPCh50///yz2rdvryZNmig7O1tjxozRCSecoOXLl8vlcmngwIHeZU855RSdcMIJys3NVZ8+fZSbm6sePXqobdu23mWGDBmi22+/XatXr9YZZ5zhc5sVFRWqqKh94RYXF0uSXC6XXC7/L7xE4WmjE9qKhovjFE7AcZqYXC7jL+81Df7vY5y4ICXFHXR/VFcbv/RUN/j9h/jifRWJoKKi9vhr1Cil3vHIcRodY1Vjo0aB92NKSuj7uays9jt6dXWNysoqfS5nPM+5XFVyuVyqqPBXtRf8vOnPjh2F3sutW2eosrJ2G2536J9PfAWxhw7VVk1WVlbqwIHayXgaNQoe0hp/CDU/98DPN9Dfo25QWlRU5l3WV0AZyvOvrDS+FqXmzQOHnXX/5p5t+AtBw+H/GAlfSor/H6AbNZIyMo50sna73Sovr79g06aNVF5eE3LleWqq1LhxI1VVueVyub3b8VVg3LSp/w7eZWU19ZarqKjxuZ6MjBQ1alR/SAF/POvzPPdYS+iws3fv3powYYJOPvlk7d69W4899pjOO+88rVq1Svn5+WrcuLFatWplekzbtm2Vn58vScrPzzcFnZ77Pff5M2bMGD322GP1bp87d66aNWsW5bOKn5ycHLubAATFcQon4DhNLMuXF3ovH3tsoaZNm2ZfYxLAqlV7vZc7d64Ouj+2bt3uvZySsk3Tpu2JWdsAf3hfhZ3Ky2vDpezsln7fNzlOI1NUVOS9fMopCnhe+tWvmoV8Hi8pqQ2jzjwzRbNnz/W5XE1N7farqjZr2rTdOniw2OeyXbs2jvhzxDff1G4nLW2b8vJqKz2PP740jOd1uN5tK1fWdgM/dOgnTZ263nv91FOP0vbtOwKus6am9hg/dOiA9/LJJ6d425WXd0i7d1foootae+8/9tj0kNtdXPyTpk3b9v+fQ/2g8Nlnp6h796NMt7lcNUpNrQ3Jvv22dh927ZqqJUsCB44HD641hdmetm7atC2kNgdSURH97PIebds2Vn6+7zD+lFOa66mnfiXpSLXsFVf8WG+ZyZN7atSotdq5s6Lefb7063e0/vrXTpo+fZ9ee+3IsTFgwDGaPbv2b3/hhceoT5+WOvvsln7Xc/nled5gc/LknpKkJ57YpOXL679+nnvuZHXs2CSk9hm98MIpGjEi7IeFLaHDzqFDh3ov9+zZU71791anTp00ZcoUNW3aNGbbfeihh3TPPfd4rxcXF6tjx44aMGCAWrduHeCRicHlciknJ0eDBg1Senq63c0BfOI4hRNwnCamw4fXStoiScrPb6lhw4YGXD7Zbdr0raSdkqSNGxtp2LBhAZf/8stpkvZLkqqqOmjYsF/HuIVALd5XYafc3B1q0aKxOnVqKWmlJGnJkkLl5NxuWo7jNDqPP54vqUyStHat2895KU+S9PPPh4Oetzz27z8s6UhX7SVLKjVy5GBJ6+otV1XVQnXPc/feu1VS/TBrxYrykLdf186d30vaLElKTz9RPXq4JR0J3bZta6Z//Su09TZqtF6SOeRr3/4USZskSSkpv1CvXlnyPNfVq0t0+eVdJRX6XWdNTW3FXVpapqSi///Yau/zveyypyRJp5zS1bvsvn2uAPsjz3SttLSdhg3LliTt3Vsqz9/G4x//2KCdO/+q445rLulI9Wf37q+pXbujtGTJDaqqqlF19QZ59uGqVS4dd1xL7dmzV/40atRZqakbJB1J5DxtnTLlf5IO+H1cKFwu6yoO9+zxHXRK0rp1pbr66hV+72/USLr66hUqLw99iIUFCw5q6dIi02RU8+aZ98eSJYVasqQw4HqMFZyeNlZU+G7HvfeuD7uy8+23T9U999R/zcZCQoeddbVq1UonnXSSNmzYoEGDBqmyslKFhYWm6s6CggLvGJ9ZWVlatmyZaR2e2dp9jQPqkZGRoYyMjHq3p6enO+pk57T2omHiOIUTcJwmltTUVO/lmho1+L9No0a1H86rq4PvD/MMr40a/P6DPXhfRbzt2nVI55//niTp4MH7vbdXVbn9Hoscp5EynmcCn5fc7tDP440a1cYX5eU1SknxHU4Zx5asrk5Renq63wlsXC7/f/9g9uwpM2zHfD4OdFzV5Wvs0dJSY1d8c/ditztFxn3si7HLuXnCpvrtGj16vmHdof89Dh2q8i7rdvv+W7z11go98kg/SdKmTfu0c+ch7dx5SE88sUhjxy7W8OEnmdrWqlXgbVdUmPt1e7ZvDPkiZcW4nx6B5qeqqTH/PcO935fq6vqPqa7zdMJdZ7Dlj/wtwt/v/sJTqyX8bOxGJSUl2rhxo9q1a6devXopPT1ds2fP9t6/fv16bdu2TdnZR35dyM7O1sqVK7VnT233rJycHGVmZqpbt25xbz8AAIheuBPyJLtw90G4s7cDQDLYsqXQezk3t7YLMG+DsVV3/5aWVmrBgq0BlnfrkUfmaNKklfXuM45TWVVVE2CG9fpBn78gK5oJe4wTFLlcNRFPAOjreRw6VNt9ubKyWsXFtddTUoKv33i/cUxQTxuNM48fOuS/CjGQkpLax4Uy272xTU88sUAVFdX69NO1hvuDj0VaUVHt8zVrRVBpZdgJ+yV0Zee9996riy++WJ06ddKuXbv0z3/+U6mpqbr66qvVsmVL3Xjjjbrnnnt0zDHHKDMzU3feeaeys7PVp08fSdLgwYPVrVs3XXfddRo7dqzy8/P18MMPa9SoUT4rNwEAQOKrO3NnQ2cOf4PvD2azB9AQGbtbGoMeWGvlygJ9//1uv/dfdNFELVrkf3zFRYu26V//WihJuuKKrsrIqI0szDOM14Q0w3rtbOy+QzSrws6qqhqlphp7WtRf77hxS7Vw4TZNnnyF0tNTTY+tq7i43HS/Mfx0u4O3u+6+8vA8zhieRurw4dqw039QWNuOQBMPSUc+n/jaF0bGSaDMt0cfVPo7RuBMCR127tixQ1dffbX279+v4447Tn379tXSpUt13HHHSZJefPFFNWrUSFdccYUqKio0ZMgQvfrqq97Hp6amaurUqbr99tuVnZ2t5s2b6/rrr9fjjz9u11MCAABRojLRzLw/wlve6rDT8yUlLc1RnYcANACGETyo4IqhQYPeD3h/oKBTkvbtq52sZ8uWQp188rHe6+YQs9pvMBZOZWc0nyN27zaHnenpgX98vOuuGZKkRx6Zq6efHui93VdoW1xsDhKN1Zdut9tnmOqPcT/V/P/+1UVF0U/GU1paG176C56N3bmtCDvLy6tNr2W3262UlBS/20fDldBh53//+9+A9zdp0kSvvPKKXnnlFb/LdOrUqcHP0goAQDJJpMrE5ct3KSUlRWee2c7WdniEVtlZeznQmFLhqqlx6+STX1Z5eZW2bbvLVOECAHYzjlccLFCBf089tVCHD7v0r39d4PP+goLSqNZv/DvVPaWZQ0y330q8Zct21nuM/zDOusrOQJ9PjPfNn7+lzn311123G3u4lZ1G5srOI/+HU9lZVVXj80dMY9jpf5iA2m0bl/e9rO+KWKPKSnM39upqt9LSUvgBA/XwKRQAADhKLCsTw3H4sEtnnfUf9er1hqkrV7yFO4ap+cuYdV/4CwvLtWnTQe3adUgff7zGsvUCgBWM3dgJRiJTWVmtf/xjjp58cqEWLNgS0mNCOS8dOlSh559foi1bCk1/pz17SvXcc0v+/0zfvsbsDP53rKqq9i7vS6SfI9xutynsrK52Bxxmx1jV2LJlk6DrN46HeaQbu/lzRrCxLY08+8DYrqKi0MLOhx6apaOPfkarVu2pd19ZmbGyM3iVrRWVnRUV5m7sntcyr2nURdgJAAAcxfgFws5e7MYuYBMn1p9IIV7C7dYfbrf30NtRu7Lt24utWzEAWICwM3rGgG3q1J8tW+/f/jZT996bo+7dXzV1Ub7ttqm6774c9es34f9v39w9PZQK3epqt9xu/1WgkXZjLywsNx1HLle13x9j9+07rIMHaz8zZGZmmB7ni7EKcuPGg6bKzkCP88U4U7nn+YZa2fn004tVUlKpyy//sN59ZWVVqqysVlFRud/XVHhhpzmY9aXudjz7gdc06krobuwAAAB1hTshTzzY+SE73H0Qq2EAjM0wflkFgERgfF9ifL/IGIMrX+e9t9763sejgp9nZs3aJOlIGGYMpdeu3SdJWrdu3//ffmizsRsFC0Uj/RhhHK/T0zZflZ1vvfW9brrpS/3mNyd572vWrDaG8de12xgMfvjhajVpYo5uKiujrewMPmancb/t2nWo3v3l5S4NHPieFi7cpvffv8znOoz7JFjYWVPjP5T2qB92Bp6ACg0XlZ0AAMBREqUbu5Gd4V50lZ3W7T/j3yKFtBNAAqMKLDLGsNEYGHtmt7/ppi/rPSaU00yoYzwbw9bq6lC7sQcORQN9jtiypVAHDpT5vM/Yhf3Idnx3Y/fsk6lTf/Le17RpuvdyaanvYXDqBoOefezhb1ZyXyKt7Ny6tdB7uVmz9Hr3l5dXa+HCIxNOPfLIPD/brt33oXRjD2XMTiMqO+EPYScAAHCUROnGbmRnO6Ibs9O6hhu/BJN1Akg0xvdHlytBTh4OYwyiPAHi7Nmb1LTpkxo9em7E6zVWcwaqwjSeZ6qrQ+/GHigI83fe3LmzWJ07j1Pr1mN93l83LKyqqjadX8vKqvTEE/N9Ptb4fP1VdtYNN+sKJ9wzznDvGao7lDE7f/75gPdyenr96KiiorYNO3f6Hr7G2E5/wa5HKGN21g2uGbMT/tCNHQAAOEoizcbuYWc7wh2DM1aVscYvwYkSQgOAh7+qRITO1z7805/+J0l64okFEa/XGP4FqsI0BmGhdHmWgleA+uvhsHjxdu/lbduKdMIJLf225ch2zJWdixdvN63D32P9BYBlZcHCzsi6bXsmJgylsnPLlkLvZV/hq3GyIH9/C88ya9bs1VNPLQq4vSNjdgZ+XuXl5nB4y5ZCnXBCS8JO1EPYCQAAHCVW3bCj4dTKTivbHUqFDQDYxRhEEXZGJtiYnb6Ecp4JdTxVczd2d4jd2AOHov7aZ5xp3NdnjbqzoVdV1YT8A6KxPf66dteddbz+OiI7hj0hqfH5+WMMYg8frt+eUNrgqf7885+/Crqs2x18lvnCwgrT36N//3f1yCP9CDtRD2EnAABwlFiFdeEyd6dPlMrO8Mbs9FR4WMH4BSVRQmgA8DCHnfw4Ewnj+7yV4VKolZ3m80xof8dQx/asy1hZaWyfh6/KzlBPfVu2FKq6ukapqY38dmMPd6KeUHn2RaCxMd1ut5Yv3629e2u7v/vah6FUl3pC21AqSUPpxj5nzuZ6+3ncuKVq1IgRGmHGEQEAABzF1wQAdjB+UbC3GzuVnQAQTKDKTn6gCU0klZ2hMIedoVV21tQED8aOPKYmyJidvv/2xm7bvoLBureFU9k5d+4W3XrrVEn+u7EXFgaeLT3Syk5PiBqognLy5FU6++z/6JlnFntv87UPjLO8++PZ90cf3TToskcqOwPvQ19/rsOHq6jsRD2EnQAAwFESpRu7OXS1rRlhB5axCouNXzoJDgAkGnNQZ37TTpTxnxOdrzE7g09IF3zfGsPOQKGVcftHxuwMHnAd6e4eXTd2X6Fq/crOmrDOfW+99YMk/xMUBRPpmJ2edgcKil9/fXlY6wrE8/ds2TIj6LJFReUR/XBaVRVZ9S6SG2EnAABwlESZoChRurEbhTtBkZXNZoIiAInM+J5dtyKNyvTQBAqM/QnlfBB62GlemXE2cP+Pib4bu6821a2MrDtBUaiCzVDuT6Thnmf4mkAVlMHGzfSoqgr+fA8fdum555ZozZq9QZeN5rMDQ1OgLsbsBAAAjmIOGROlHYnSjT2UMTtjX9kJAInG+H5XNySrqqpRRvDCswYvVjPap6bW1mAFmoW8bggXyiQ7wbqxS0fOiyl1SlSN3dgrK+u3KZpu7EaRVnaGEvT64umJEuicHer5PJRQdNGi7VqwYFtI6wOsRGUnAABwlETsxm7vbOy+L4eyvJVhZ92JIwAgkQSaXCfYOIE4wrifIqmkmzhxhc/bjTmjMWQMtH0ptKAwWDd2yfe50Bik+mqT727sQZtTT6SVnf5mcQ9FZWV1wGM+1LAzlM8QDBEBu1DZCQAAHCURu7GH2uUrFsyBb3iVnVaGxYzZCSCRGd+z64adVKaHxlzZeeRy3YpIX2699Uvl5RVo2bKdPu83dmP3zN4dbPuSVFISPCisrnYHreysrnYrNdV8W7y6sUcTWkbq8GFXwM8toYb/BJlIZISdAADAUWI15mS4zJWMdnZj9305lOWtrezkSw+AxBUo7LTzBysnMVd2ht6N+o03vg94vzEwDaey8+DBsqDbrq6uCbhO6UjY3bixOe00h52hTVAUz27s0SgtrbSkGzu/ayKR0Y0dAAA4SqKMlZk4s7FHPmanlbvP+OWIag8AiSZQF2x+rAmNMRT2vOcHK+wMbYKi2suBxqKsG0oXFpYHXXd1tTtgtaiv9Urmbuy+Hl/3mKmudkf0mSTSbuzRKCwst6QbO5DICDsBAICjxCqsC1eihK6JU9lZY7hMcAAgsRjf7+pWJRLuhCaSMTtDqZo1VnYG6tZd99xSVFQRwvbdQSfz8fX3N7bDVzd2Kyo7FyzYqnff/TGsx1jhwIGygMc8lc5IBnRjBwAAjhKrsC5c5srOxJiNPdzlYzVmZ1WVdbP0AoAVAoWdhDuh8VXZGUy4QXKgcTjr/p2Ki4OHnTU1NSFUdtY/Fx46VNsO4/FSVVWjRx6Zo9zcHfXWEe4p9fzzJ4T3gADS01PkcoXWgAMHygIe84T/SAaEnQAAwFFiFdaFKzFnYw+lG3vt5ViN2UllJ4BE42tyndr7eM8Khfl9PtTKzuD71jhBUaAxLOuuK9QJioJVdm7bVqRjj23mvb51a6Hy8vK917/5ZqceeGC2XnttuLZsKdTTTy/2sZ3Ixuy0SlpaOGFn4G7shP9IBnRjBwAAjpIoY2UmTjf28ELX+FR28kUJQGKhG3v0zIHxkX0YbDb2UCYyWrhwm/fy4cP+A8y6f6dQxrsMZczOfv3ekXSkrZ99tlZvvLHc1I39hReWasuWQl100URt2HDA73acMl51YWHgbuy8HpAMqOwEAACOEm4lY6wkTjd235etWj5UjNkJIJGZw8764y0iuEjG7Ny+vTisbfir7KypcfuYoCiUMTuDz8bu2eYLL+TqwQdnB1zW33kz0gmK7HBkgiL/f79Q/7ZAIqOyEwAAOEqiTFBk/NLn1DE7rWy3sRKE4ABAojG+39V9j6KSLTSBhgKwir8JiqqqaiL6IW3z5oO6996cerf7Kkj9739XB13f88/n+ry9psbebuzhWL9+f8B9GazbP+AEVHYCAABHSZTu44kyZqdRuGN2WlvZWbsyggMAiSZQVWIsK9kOHarQUUc1Dtrd2wl8jdlpdcBXVuY77HS5qiP6IW3XrpKQl23VqknY6/ewsxt7uIfWhx8GDnX9Bc6Ak1DZCQAAHCUxu7HbF+6FuwviU9mZIOkvAPx/xve7uj/IVFYG7uYcqeXLdykz82ldeeXHMVl/vBnDxoqKau3adUiVldZWAZaV+f5bRFrZGY5ow067PpJYnaPzgyWSAWEnAABwFHNYZ187zF0iE6Mbeyjhb6wqY81jdvJFCUBiCRR2xqrb7pNPLpQkffTRmpisP96M57rKymodf/wLKikJPm5mOPyNr+ly1XjPLbEqkm3SJPKOr3bPxh4vSVCgjAaCsBMAADhKIlZ22hnuRTNBEZWdABoK4/t0/crO2LyHJ8oQJ1bxda4rLg4+I3o4/IWdVld21v3buN1uHToUeXBbU+OcbuxAQ0DYCQAAHCVRxspMxMrOcJe3cv8Zw4OGUN0CwFkCvWe7XLHpxu6U2blD4Xa7tXDhtphvx1+VbWlppQ4eLIvZdquqalRUFF3YmUx/b8DpmKAIAAA4SrjdtmPF3G3bzrDTeDncCYqs7MZu7CLKTK4AEkuganyrx530SKTsq7KyWitWFOjMM9upUaPwSwE/+2ydXnxxaQxaFpoLL3xPW7cWxWz9lZXVKi6OPOy0d4Ki+JV2JtIxDQRCZScAAHAUurGbhVupyQRFABoi8w8y8enGnijcbrfOOusNnX32f/TOOz9EtI6PP7Z33NFYBp3SkTFBi4rKI378kcpOCxsEICqEnQAAwFHoxm4WzZidVu6/RKl0BQBfAndjj1VlZ2K8Fy5cuE0rV+6RJD399OKI1pEgTyVmXK7qqLqx2zlBEWN2AvXRjR0AADhKonRjN36psXOMSvM+CKUbe2z2H5WdABKZ3d3Y3W53XLsbG+3adch7uXXrphGtI1GCWyk2wWtFRVVUExT9+GOBjjuuuYUtCh1hJ1AflZ0AAMBRYjWbeLgSpxu778uhLF9jYbONAWeNlSsGAAsY36frToLjcsVqNnbrfhSLJmw0/hhlV+Ca6IqLK6P+oW7WrE0WtQZAtAg7AQCAo8RqNvFwGb+41h3/LZ6iGbOTyk4ADYXxPbu83Dz7ejwqO8M5T+zdW6q33vpeJSWVkqQ33liu9u1f0PLlu4I+dsqU1VqxosB0m3HbkZ6vEqiwMybWrNlrdxMiFsmEU0CyI+wEAACOkohjdtpZYWoU7mzsVrbbPGYnlZ0AEkug97t4jNkZTsg4dOhE3XTTl/rd76ZIkm69dary80t0wQXvBXzcwoVbdeWVH+u0017zu21/++HRR+epa9dXdODA4aDPJRnNmbPZ7iZEbMSILLubACQcwk4AAOAoiTIbu7nbdmJMUBTa8rEJi0P5Mg0AdglUcR67buy1l8MJO5cv3y1JmjFjo+n24uLAY0quWrXHe/nQoUqf2/bXjscem6916/bpD3/4OOR2JpP587fa3YSIZGSk6OKLj7O7GUDCIewEAAC2cbvdevDBWXrjjeVhPab2cixaFZrEmY09vG7p5rDYui/4xn1AN3bAXh9+uErTpv1sdzMSSqAfYWLXjT2+w500bpzqvWzsqm/c9po1e7Vu3T6/61i71nd37iQv7HRsN/ZGjVIYhxXwgbATAADY5ptvduqZZxbr1lun1htDzZ9EqexMxAmK9u8vD7pPzBNmWNcOKjuBxLB9e5GuuuoTDR8+SeXlLrubkzACvS9VVcUm7DRvw/8bbmFhuSWBa3p6bdhpnFm8bmVn166v+F1HWlqq3/vQcJCfwukIOwEAgG327asdG2z//iOXv/12pwYOfE95efk+H2MeszNRws7EqOwsKqrQSy8tC7K878dGyzxmp71hZ2VldcjhOZBsdu485L2crLNDr1q1R5MnrwzrPSzwmJ32dWPPzy/R0Uc/ozPPfD3q7aWn136937+/LOi2fdm2rUiffrqm3u3JPmanFFrARwgIOANhJwAAsI2vccT69HlLs2dvVu/eb/p8TCJ2Y0+kMTvvvz8nyPKxH7PTzkrXmhq3OnZ8UVlZz8Wl2yiQaMrKaqs5kzWf6tFjvEaM+FQffLAi5McEel+KXdgZvBv755+vkyStXr1XBw+W+VwmmJoat8aNW6rZs2sn2fH8gBho277aKUlXXPGRad0VFVVJeywZNYTnCDQUhJ0AAMA2vsJOT3Dor0tfInZjtzfsNG+7oiJwV8hYtTtRJmwqKirXnj2lKiqq0KRJoQchQLI4eLDce7mkpDLAkompvLxKTz21UCtWFARddvToeSGvN9zZ2N1ut77+eoOWLt0R8jbqr6P2sr/Asaio9u8V7P3bn+efX6K77pqht976wXvbgQNlKi6u0O7dh4KGnYEq4c8/f4LatHlOpaXOO5YQuXA+XlHtikRE2AkAAGxj/AIW6nhl5m7sljcpZOZu24kxZme4y1sZFpsrO+37wxjDgoKCUtvaAdjFWNH3+OMLTJWedtu7tzRoe557bon+8Y85Ou2014Kuz1dI6U+43dhXrSrRpZdOUXb2W3r//R99Pm7Zsp165ZVlIb2XfvTRGp111hvavr3IdHtRUe3YmhUVkQ2/8dRTi+rddvBgmY455hm1b/+CaWgDX8rK/G930aJtKi6u0Jw5m/0uk+gI44CGh7ATAADYxhiQhfolj27sZuEGlrHaf8bA1879cfhwbZBSd4baKVNWa+HCrfFuEhBzlZXVevXVb7VhwwHTWI3r1u3TDTd8YWPLau3dW6o2bZ5Thw4vBlzu++93+7y9uLgiqrF4A/0I46vycc+e2krGd97J8/m43r3f1B13fK1XX/3W5/3G99uHHpqt5ct367zz3jEtY6zsDBQ6BmKcjMijsLDC+5ynTv0p4OON75tG5gnt6OMN3+j+j0RE2AkAAGxj/ILp5NnYE2nMznCWt7ayMzH2h7GrZaNGtWHnTz/t15VXfqx+/SYwlifiori4fgAVK+PGLdWoUdP0q1+9ZKrslKTPPlsXt3YEsmTJdklHuldv21bkdznjjOIeJSWVatnyaXXo8ELEP9iEMhv7nj2levPN71VSUimXq3b5YF24n356sc/bfbVv61bzcy8srD1OIj1mfD23wsLa0LuyMvD51V/Yaexx4eSw08qPCgR7gDMQdgIAANuYKztD646YiJWdiTIbe7jLx2qCopoae8LEDz9cpeefz/VeNxZ25ueXeC8vWEB1J2JrypTVatnyaT3yyJy4bG/hwm3ey8bKTsneYTaM0tJqv3oGmoincePasNMTtv3ww5Fqz/37y0yVn1bPxn7xxZN1881f6pprPlNlZeg/xqWlhd9P2rNOY2WnrwrNUPjaDQcOlAe833hc+BtawPi8CfkAOAlhJwAAsI1xvLVQw07zmJ2JUdlpZ9gZrlhVdtrdjb2mxq2rrvpE777re2w9o7pj5gFWu+66zyRJ//rXwrhsr1mzdO/lupWdVr8eI62MTk2t/eoZaOKkjIzasNMT/hnfqnbsKPZeDuctLFDo66lMX7ZspyTp6683qqKiduW+wk7j+2daWv1q1LrLGM2cuVFNmz6pxx+frwMHaoNfX/sl0v1tXK8vniB5+/YiTZmy2ucykXarBwC7EXYCAADbGLvIBetm52EO66xuUeic24099pWddoS/viqiKiurtWdPqWbO3Gi6/5Zbpurhh+NTcQdEM85kqJo2rQ079+41h51Wvs5vvPELZWU9p4KCkuAL12GstA4UxKWn135FLSw8Up1ofN8yBoL+wkS3262ZMzdq377afRFKN3Yj46RFvn6MM3b9NrbZyN82R448Eob/85/zTG08dKh+2Bns+PE3SZOxYtRXOzzn386dx/mc4EjyX/EJAImOsBMAANjG+AUysm7siVHZ6awJimovW9luY8AZbL3l5VWaM2ezKeyOlnFGY+N2zj77Pxoy5AO99NIy7+2VldV68smFEXcZjVRpaaVefnmZ7ZWlmzcfVP/+EzR9+gZL1rd3b6l3PEYcYXxddur075hvr2nTNO/lgoLSmG3n7bfztH9/ma6++pOwH2t8j/d0tV+wYKvOPfdtPffcEp177ttas2avqRu7J1Q1vqcYX7f+flh5770fNWTIBzrttPHe2wKHnfWrJ4N1YzcGk8Yu+ka+Znmv2xbjOJ2+xgYNNnmfv/E2jev1VdXqaVugH6fiEdQDQCwQdgIAANsYv0g5rRt7OOFeLEVX2Wldu42VWr72h/GL9513TtOFF76n226bKknKydmogQPf08aNByLevqcCzKi8vMo7EcqMGRvr3b9/f5ny80u0atWeiLcbjgcfnKU77/xavXq9EZft+TNixKeaP3+rhg6dqMcfnx/1+nr0GK9zz31bn3yy1oLWJZ89e0ojqoQMhzHsNHbzjpVNmw6Gtbwn6Pf44ot1crvdOv/8CVqyZLvuuy9HS5Zs1znnvGV6nCe4NZ4fDh6sfa3765r+3nsrJEm7dpUYlg0UdvqqfHQbLtc/P4XyY4m/qktj93Dje6OvbuzBAkd/Xc2NYazvMLc6aJBKN3YATkXYCQAAbGP8Eufsbuz2TQAS3WzsVrXB7Z1ARKofdn700ZHJWh59dJ4k6c03f5AkvfNOniRp8OAPNHv2Zp1//oSI22DssukxceLKgI+prKzWiSf+n3r0GK/f//6jsAMpt9utMWMWasaM0CokP/98vaT63YzjbenSHd7L//znPK1du1dVVTW65ppPTYFUqDyB1B13TLOsjU5X97UV65nZUwx9xH0Fc198sU6dOv1bn31mTSAd7nvH3XfPUE7OJu/1zz9frw8/rD9OZFFRhSnY3LPnyGvF2J3a+MOKMcB0uar144/5+uCDFZozZ3O9dUdT2ekrtDSGiW63dPXVn+g//1luWsZfZafx+RgDRV9VmsF+CPRX2VlaWnu7r3a4XNVBg3EqOwE4FWEnAACwjTnsdO5s7M7qxm59uz/+eI2pG3nd9V577ZHx6R57LHAV4c6dhyJug6/Kzu3bA3+R37XrkDco+PjjNRo2bJLpfperWhs2+K82nT59g/7+9zm66KKJPvdlpBOLWOmDD1bo1FNf1fr1+yT5Dt3+85/v9cknazRp0krdeefXEQ8vEOtAz0nqvi59HZ/h2rmzWI89Nk/5+fVD+WCh1GWXfaht24p0+eVTom7HEeG9d7z3Xv2Jwx57bJ7PZY3PZf/+I0G6MRA07ktjZedtt03V6ae/7p0cqq5A73fV1fWPeWNlpycsrKlxa8iQD3Tjjf8zVXZu3Vqo//53lW65ZaqpTf4qO/1VmRoDSo9gf1t/Yafxcb7CzoqK2sp3fxizE4BTEXYCAADbRBZ2Gi8nypidtjXD9spOl6taf/jDx6bbPPtm1ao96tXrDUvH5vSsu6bGbRr7MpIw6ccf803Xv/9+t+n6VVd9ol/96iV98MEKn4/furV2+7t2mYPVF1/MVcuWT2vevC3e20I5XjduPKBvvtkRdLlQ7N9/WNdd95lWr96rkSM/lyStXbu33nKzZm3Srl21QfPOncbZrt2aNWtTSFWvviZ5wRF79kQ/juZvfjNZjz4632cFdLDuyFaIJrz39R7QqJHvr6LG88K+fUeqOI2hm/G1bmzT22/n+Vzf/2vvzsObKNf+gX+TrlQsa9kLuKKiAiKrHo54EDgHccEFObziwnldABU5buBRfN0AOQiyKKCyCMq+KTu07BSE0gItBUqhFLoXmu5ttuf3R35JZ5LJVpI0Tb+f6/KymZnMPDN5MiR37ue5zQFHV6qxy9ssDVoaodcbkZiYg50707BoUYLshxBpMLaiQm+5T9nL7LSnvNx2GLvSMvl65YCktE8oBXrLy3Wye5gSZnYSUV3FYCcREfml2gxike/U5Tk7AyGz80auX1zcFeTnl+HcuWs268zX45//XGcTQLSek866DQsXxkOvNyI5Oc+SjWg2btxWtG49A1lZxfj++2No334WvvjClC2qVKDImfHjd9hdd/78Naxfbxry+9prfyhuExRUPXQ4OVkeRJwwYSfKy3UYMqQ6W1R6qvYCR7ffPge9e/+M5OTqeUTXrEnGQw8tcruw0b59ly1/X71qem5KSoHNdlevFssyyqSv6YYNZ/HYY8tw551zFY8hff2UAkY1kZZ2Ha+99gdSU+V968qVIsyZc1RxXkN/Y/3W8sTUBYmJpuD8+fO277nKStcDzY6Cfo5IA4438iOLmbQQkZT034XCQnOws3qZ9L3uaB5Os7IyLQoKyh3+KKX0fiwrq76mRqPA88+vkd3rz5ypfs9L3wdLlyaiceOp2Lr1vNsBYqU5Mu3196SkPFy8WGg32Oks0Fpernc4jF0IwTk7iajOYrCTiIj8zvTph9Cu3UxcuGD7hY4Ci3yYXU0yOz3dItfV5zk79+5NR9++i9CixX9x330/2KzPzS3D3r3pigGe9HR5YZPp0w/LHr/++ma8+uom3HvvD7jrrnmyrKZ5844hL68MI0eux7vvmgKVn366FzqdwSPDhM20WgM6daoO7lVU6JGfX4Z33tmG06dzLculhVLsFTkqL9dhxYrTMBqFLCDibMj3xx/HWv5+/vm1OHz4Cvr1W+LwOQaDUTa0VjqPabNmEQCAs2dNwU5pUl1Fhd4S2AUgCzJu3HjWbnuNRiHLCPVE0P+dd7bh9tvn4McfT6BPH3mxmt69f8bbb2/HmDFbbvg4vlZQIH8vxMZewoABvzicJsEd7mTguVtcyEwa+PLEvVcyzaiM9FzMfVgaaHVWZdzamDFbERU1XXEeT+l+rPdVWCgPIm7YcBbS4fvS11Ta98eN24aSEi2GDFnh9rVWGjZeWmq7rKCgHPfd9wNuu222YgV3wPm/qWVlWmRn2586xGAQzOwkojqLwU4iIvI7H3ywG1lZJRgwYFltN4W8rC7P2Sn9YlzfMjudFTkpLq5C//5LFfdvPWzyww9322yzbFn1sPE5c0wFc6Rf6OPirsoyplatSlYsUFQTpaVam4xCwBSEnT37T/Ts+ZNlmTTYoZRtZ/bPf67Hq69ukvWT69ern1tcXIXly09ZstjM7bCWnq5x2PaBA5ejTZtvLXM6SguomN9r5mCnND5fWalHQkL1kP5Ll6qPI30Jpe0vLq5C794/oV27mQ7b5I4LF65j9uzqAknXrlXI1psDq9L+YU9pqRbLlp20mapASVFRJSZO3G03YF0T1n1f+noDwN/+9gtiYi7hoYcWeeR41kEpe4FEwPT+qQlpIM7RPa+iQufSvcXeJtIs/4KCCiQl5ckCrdaFgb7//hhatvyv3eOsWJEEAA7npzx48IrNXKgFBbZBxsOHq6+dtH966t+iigq9zbUbOnSF7HFlpR5padVB8vh4efa8q22qrNQjJ8f+9AparYFzdhJRncVgJxER+S1nc0kFmvR0Tb37YiEPdrqWHck5O00ZO1OmHMDx41luf8n2xDQASkU0lEiDEmaxseluHevPPzORkVGE2bOPWpZZT3kwefIeXLhQs2w1a2lp122GpAPAtm2miuvy+QSrA1jO7ldLl56UvVZZWdWBldGjf8eLL27A4MG/Wpa5+9rk5ZUhNvYSSku1+M9/TFmh0ixP8zVzFjAFIBsuL22HNAD766+ncOxYllttdEapiI2ZNBDlKJBnNm/enxg1aiO6dl0gy8aVMhiMWL8+BaNGbcTUqYdw//22Wco1Zf3ySbOApTwxlyfgXman0rytZhcuXMeSJYno128x7rlnHi5dqn5fSQOO9oKd8fFZaNRoKsaN2+q0Ha4U1jlwIAP33feDLPPYOpNx7NitHrmOr7yyyaodtjf2338/Z/lbmtXsKZWVeqdD8xs1moqDBzMsj2ua1V5ernOY2anTGZjZSUR1FoOdREREfiAxMQe33PIdOnf+vrab4lPOhrErfaGWB+u80y5X1Oacnd9/fwyTJsWiR48f3X6uJ4axuxrsVHpNv/02zq1jnTqVh65d52PSpFi721y8qLEMt3aXdeDs449jMXz4Wpvt5PPL6vHEEyuweHGiZVl2dqlsvRJp5ubJkznYtSsNQgisXXsGgCmwa2Yv4GEdBBVCIDOzWFYI6fjxLFRV6WXBZnObHM3RZyYNLEoPV1xcqbiN1I0Uo9qxI81m2eXLGgghZBmaDRuGOt2XdPjwb7+dVtxm7tw/8cwzqy0BrJq8HzIyitCjx492i1iZ5eeXY+vWVJeDR5s3n8e//vW7yz+AuROUshcY3LkzDXfcMQevvLIJBw5kICWlAL17V08lID2GveHjw4athk5nxPffH7dkW9sL3NsrvKN0zidPVgesXb3/uEv6/rNHOu2A0vy3N2rr1gtYujTR4TZarQHvvbfL8rim16OiQie7bykdh3N2ElFdxWAnERH5LVeydwLFmjXJAEzDR+tTcSZnw9iVgmWeKrBzo7wR7Fy0KAH9+y/F9esVDrdLTKz+4l8bw9jtZWRZc7cSsZILF67bzYrzBOtLsGVLqtPn7NiRhj/+OC9bJh1Gbz382kx6PT74YDcGDlyOZ59drbjtlSvFWLfujM1rdPmyRvZ41apktGs3UxagPXkyF82afYNDh65Ijm1AebnObtukpENbpceXzsFq7zVxlDXoiEZTiePHbTNFO3b8Dl99dUB2PFfeb9LtzRW9rf38c4LNsry8MrfeF+++uwPHj2fhxRc3ONxu3boUDBnyG/75z3UOt/vll5Po128xhg5dgZ9/TsDLL2+0u+3Vq8WYM+coSkqq3Ap2mvvAtWvyofVKP0RIA6PSIKS9YLx0qHjjxtMwYsRajB79u+K29gJpzu4v1vOfeoorha+k7x9vZT3+61/KBdHsqekUHhUVeoeZnceOZTGzk4jqLAY7iYiI7Lh0SYOYmGtuV1OtibCwYMvf9r4AOitoUhc5y+xUCpb5Y4EiTwVdR4/+HXv3pmPYsFUuP6c2ChTZK4hR23z1A4lSUC4zswT9+i1GYmKOS8EYc99fv145I/XixUI8++wam/kVV61Klj2eODFG8fllZTrZUFedzuhSVidgCjCbq8FLg1rSLDB7wU6lAKIrLl/W2A1ifvLJHlkgqqrKgPR0jWyI9X//exhLliRaHkt/MJBm1EopnUPLlv/F+PHbXW63dcDQGVORG/teemkjDhyoft3s9Y/x47fj3nu/x9tvb8eLL26wm02spLCwAh9/HIPmzadj4cJ4y/KgIOWvhkePXkVWVons3yalzE6lH6xWrkyWZUBL2Wuzqz+meJorld1dCYj6Wk1/DCooqLCZEkRqyJDfau21ICK6UQx2EhER2dG583zMmXMFn3221+vHCgsLsvwtzdIQQuDUqVz88cc52TxoVVX6WimKk5lZbHf4ak3Ig522X56dDW0PtMxOs2PHHA+nlAb13D229JodPZpZo2vorWGkdcX+/Zdtlun1Rhw4kIHHH//N7QCYI1OmHJA9/uijGHz4YfUQ1jvuaOrSfvR6I154wXZ4vj2PPLIEgPxHlry8UktVeXvZx3Pm/Ilp0w5iypQDin1LCIEvvriIIUNWyNY7m3dQGmTS64245ZbvcOutpkrUR45cxfvv78Irr2yyDI2WBoDM91SjUWD16mTLEHd75yAtkiSEwLlzBfjoo92yORrN9y5P3IJKS7WYNCkG8fG2QXS93ogvv9xvs/y7746iqMj02mzadA6nT8uLKzlqV2ZmCb7++iAA4KOPqguEBQUp/1rQu/fP6NRpriyr0fp+nZdXpth+R+zN0+wss53kaprZWVDgfJ7TQPyRlYjqBwY7iYjIb9X2aG5zRufMmUedbHnjwsOrMzulwwZXrkxCly7z8cQTKwEA8+YdQ2mpFq1bz0Dv3j/Z7Mebyst1aNduJlq3ngG9vubz8knVLLPTecc4fToXzz23psZDal0hzQJyJSPIHfYyrJTb4V7msfX1s57r0tzvzUEepcxmf83s9NQ9w1mG6L59tsFOs8zMEmzffsEzDYHykPhvvjmMgoJynD1b4HKmmU5nlFVcd6agoAILFhyXBVLWrz+LBx5YgHvu+d5h9upHH8Vg0qRY/PTTCZt1mZkliI8vxq5dl7Brl2mOTr3e6DQ7TTpXotSSJYmIjb1keWye21EaMCsuNl2jrVtTMXz4Wtx222wArmUQPvvsGtx11zxMm3YIDz9sqpw+c2Ycbr55Cv7445zs/eTue9Fs/vzjmDLlIB58UHkO3k8+2VOj/dojzdCVvr8dvX9KS7WYNu2g7Hnz5v2JI0euQgiB9u1nom9f9yrL27tenCfSPTUNSLoSVP7hh+M12jcRUW1jsJOIiMgJX2RQhoRUZ3ZmZlZnD33+uW1GT2zsJRQWVuLYsSxkZro2LNUTpHN7bd583sGWcsXFVXj11U2KASDpl1qdzmgTiFOes1P6t/JrM2DAMqxde8btAj5arcHhHGZS3swwDQ52/BFNGoxzP9gpfyx9LT/5JBaNGk3F8eNZ+OWXk7jrrnmKcwwGembnjb6c9oYeW3Nl2P2JE9mKyx9//Dfcffc8m2Hu9kiDWq4O93/jjS2y/f/xx3mcPJmLs2cL7LZLatYs0w9FBQXl6NdvMX744RiuXKm+ZyUk5KCqSo+77pqLp59e5bBt8+YdU1yen18uKyxjDppKs2tLS03BIGmb8/IcZ6gbjQJGo5BVAb90SQMAmDBhJ/R6I4YNk8+3ev78NRiNwul70vp+4Y2q3o5Ig7zS+5iz6Rfi46uvn1ZrwLhx29Cnz8/IzS11OBzaHk//SOQN6jrwbVlaiMwdNcmgrU9zqRNR3VYHbt9ERESBTxrUk34Jz811/IXc3lx01n777TQefnjRDX2pln4plhYqcWbHjgtYvDgRI0bYBs2sh7Fbf/l1ltlpLyhlzo51Nyj3l78sRps237oUyPH0MHbptXAe7Kz+xqnXu3ds67ZKs7y+/PIAyst1GDZsFSZP3gsAWLPmjM0+/DWz01/Yy0KsCXtBpKNHnVeOtscTsXlX5jI2B/1mzTqCAwcyMGbMVvz1r79Y1peWanHmTD7S0grt7cKpigq9bI7L/Pwy6PVGWQDIfB+IjAyzLFu40DbrVOr69XJZsR0ler1Rdi3vued7jBy53mngzzpzsUmTcIfbe1NFhd7yWjr798aeadMOebJJfiEkRIV58+5CWJj/f102B/PdpdFwiDoRBS7/v3sTEVG9Ig1k1acMAmmgKze3ehi7s6Gdrla7HjlyPQ4duoJBg5bVrIFwXjndHnPQQaOpRFqaPAhkPYzdOpNTq7UdzujNjEpzhtirr25yuq2ng53S4cIhIa5/RHO3gJb1Jbt82RTQkRYLyc4uRbNmEZLnCKxZk4z4+CwIITiPm4fUxlQdvryvXrlSjM8/32fpY9ayskpveH7Gb745JNvHnDl/yoruAKY+npiYI/txSJqxqSQtrRDnz19zenzr98LKlUlOK1gXF1daPa6995PRKDB06AoA8ilU3GHO4A0kwcEqtG1be0Fod9Q0076mc30SEdUFDHYSEZFfcTV4F2ikmUD5+Y6/cEoDfOa56KROnMjGzp1pis9NSsrH00+vcloMRGrRogR07DhLlkmmNLzcnoqK6i9iy5adsvwthJAF2PR6o83rrzR3m7eqsUuHnroyLNDzwc7qgMe1axUuVfQG7Fc0tsc6QGzO5jp7tsCyLDQ0SJbltW3bBTz//Fo8+OCP0GgqOaceuaS8XIfJk/di+fJTiutTU69hwAD5DzA3+p6Oj8/G2LFbbZb3779U9uNRaqrj7Ntz567h+HHbgjvWP/ScOpVrs42zYKd1ZrwrGXY1nQ/UFdu3X0BWVnHAT08RqGr6uakmQfbankudiMhVDHYSEZFfkQZuavNDta+rfEu/HBcUmLKP7AUUpZl8RUXyrCghBLp3X4hBg5bjzBnl4jwbN57Fc8+tcblto0f/jsuXi/C///uHZZk7mZ3S+eHMBUkA8xydkD22PmdpoNRMPozdc6+TNKupYcMQp9vLM0xv/PjSLJuqKgMeesh+sQ9pdp67gUfrtl67VoHPP9+HXbsuWpaVl+tkc8euXVs9lH3bNs8V3yHf86dghXT4ubdpNJWyDFBnhZ1OnszB1KkHbZZfuuR8yL2zH6xycuTDxTUa59mt0jlIvcFR0S1PqU+jNeqCkhJm6BNR4GKwk4iI/EpNihx4gzT4qPLBNzRpkLewsBJGo/2hwtLlhw5dRdeu87F3bzoAyDI2t21LBaCcZbRvX7rs8eXLGhw4YPqy60qWojsFEaTBzuTk6gDswYPyQIdSZmdlpW1/cDeL0tWAqHTuyrCwYKfbezOzE4DNENqyMi22bk21yeRUCgg7onQ9Jk/ei/ff32X3OUeOVBepGTlyvVvHI5IKDVXhwQcja+XY7gyZ/+mnBMX7nPS9YE9SUp7D9RkZ8sJyzqYrAYDcXO8GO9etMw3r95eApL+0I5DVtLAREVFdwGAnERH5FXeH5HqLr4fzSQOSBw5cRtOm07B1q3IGnTTYuW1bKk6ezLVkXV69Wv0lurTUdA6O5mHbsuU8Jk2KQceO36FfvyVYt+4M2rSZgTfe2Oywvc6yoqSkmYdFRVWoqNAhN7cUf/vbL7LtTMFOVzI7q/822hm9J/2i7GxIqZm0eJO9AkE//XQCX3yxD4B8WKknMkydzZ/28subMGTIb3jllU2yoLCr52dWk6ampBQ434jIBUFBKtxzz021cmxXC7oB9of4Hj7sPNi5e/dFh+svXJD/kOFKsPPqVeV5Tz0VFDQHO2t6K3OlHe7s258ykD3Jn4K41gUBiYgCifO0BSIiIh+SZnbW5pcCX1eblp63+YuvvSI50gxA81Djy5c1AOTBzsLCCvz5Z6ZiYFKlUkGrNeDxx1fIlpsrCS9YEI8ffhhiN6vVXkbIqVO5aN26IaKiqoMZ0sxO8zGkVZHNlOfsdDyM3Z7Q0CDLNS0srECDBvJh6cXFVWjYMBRqdfX5ZWdXBzuVAohCCEtQuUePtl7P7LRmHkq+YkUShg/v7LCt5kDsyJHr0blzFD755K8ATENzXZ0LlMhbGjXyzVcQlUoeNDtypOYV7M0OHnQ+3HvJkpMO10+dKq9efuGC4/lDAWDIkN8Ul/tLUNBf2kFERAQw2ElERH5GOhdkbX55kmZ2+qIdSgEre1W2pUPVzcMydTojCgsrZMHOgwcz8N13ylVyVSpTUQpr0qBdRYUeDRoof1RQCgYnJeWhS5f5iIgIQVnZJMty62Dnhg1nFfeplNmpNIxdXqBI+cUJCakOdubklKJNm+phs9u2peLJJ1fihRfuxS+/PG1ZLp1HT+n1kJ7Hr7+eQnBwkGKblFRU6BAeHuxwSgR3KuNKg+NKWciZmcW4dEmDVauSAQCvv94dOTll6Np1gcvHIPKW7t1rZxi7J5w543qWs3Ww1R5XCsUwmEhEROQ6DmMnIiK/4j/D2Gsvs9MZe/PO7diRJgt2xsdnO9zPpEkxNsukw9o0mgq7GZzWAUwAiIm5aFlnzibV641ITMxx2A4z5Tk7bY/jrDCQdQD06tUS2bp//OM36HRGLFt2ylKg4cSJbHz66V7Jcav74ZYt53HXXXNlhXmMRmHVDnmW55tvbsa8eX8CMGWMtmo1A088sQJTphxAXNwVxfNXel3tDVGXvk+UMjUffnixLFN069ZU7NjBwkLkHxo3DkGwD1IuGCAkf8M+SUTkG8zsJCLyA6dO5WL37ot4++1educKrC/8oUDRlStFskwbX1RmdyfIa68q7549l+xmg1rT642yYkFm0gBeXl45tFrl/SkFO6V9NzOzGJ06NcfYsVucBl3NDAbhYman8utRWqpFly7zceedTWXD37OyqgPA0qxYAJgxIw4TJz6M7t0XWh23+vUwD/WXVrAvKCjHzp3V8/KZr5tGU4nnnltjmbNv8OA7sHZtMoqLq7B5cyo2bzYVjdLpPkF+fhlat77Zsg+lefs0mkq0atXQZrmzeTqvXCnGk0+utDw+dOgK7rknyuFziHwpOFgFvT6wIz/e+KfD1WxRIlewPxFRoKrf36iJiPxEly7z8e9/78RHH+2u7abUutrO7Dx4MAPt28/Cs89WB7aEALRaPWJiLrqc8Tlr1hE0b/4NEhJcC/S5U2Tm+nXl4c4JCTm4cqVYcZ01VwoTZGUV2y3ooRTslEpNNc1Bt3DhCZfaA5gCsNbB7qKiSmg0lSgr02LMmC2IibkoO7Y08Hn8eBYuXizE9u1psvOTZnZaZ0EuX34Kv/xiO7+es6C7NNBpaodpnswRI9bJipPcfvtsxfn4Pv98H9q0+RbLlp1ESUkV3nprK3buTLPZLi+v1GYZAJdfZ7OEhBy3CxkReZOjKR3IPgamyJPYn4goUDHYSUTkR+zNr1ifWAeZpMEsUzDMuwGbL7/cD0CeASgEMH16HAYMWIZhw1bZfe6KFacxa9YRCCHw7rs7cO1aBfr0+dlpYBBwL6PV3tyOFy8Wyoax36js7FK7VYKlFdbNpNcsLu4KJkzY4dbxDAYjUlLk2aaTJsUiOnomJk2KxQ8/HMeAActw6ZJG8fkZGcrViqXXxDrYmZZWiNdes608b51h6kxJSRVuu2224jyoP/2UYLPsiy9M/eyllzbixx9PYO7cY5YAsVRmZgmOHcvEI48skS13paCJVFJSHvLzWZiIiIiIiAIfh7ETEdUyaTDPXEG5PrMOZup0RoSGBkGnM+CFF0xZc6dOvYEOHRp79LgrVpzGrl0XERd3VXG9OQhqzujT6QwICTEVqHn11U3Yt+8yLl4sBAC8+251kK+qyoBHH12KuXP/gejoSLRsaTskGXAvs9Ne1e7r1ys8Og1ASkoBwsKUPyrIC+Ro8dhjy2TX7uuvD7p9vOzsUsUqxqWlWsyeXf1DgDSoaX77bNiQgpde2mh3vytWnMa4cdvszndqzTx3qKtTGAgBXL6sHGx19ryjR5X7HAD87//+gczMErvrXVVVZcDMmUdueD9ERERERP6OwU4iolomLQBzI8OJsrNLcOpULgYNut0Drao90mrsgKlAjUZTiU6d5loyB0eN2oh9+152a7/FxVV44okViI6OxJdfPoro6EbYvPk8IiJC0K1bK/zzn+sdPl8a9HrwwYVIT9cgLm40mjRpgMWLEx0+9+jRTPTo8SOCg9U4fPhV9OjR1mYbdzJWzUV1zMxzbgkBS2EgT5gxIw79+rVXXCcNzsbEXLIbJHbH9esV2L//slvPKS6uwvr1KXjmmdV2t9m5M81miLizecq0WgM2bz6Pn3+2zcr0tNWrz9hd54lAJxERERFRfVKvgp3z5s3D9OnTkZOTgy5dumDOnDno2bNnbTeLiOq5nBzlOfncNWTIb0hIyMHMmYMwfnxvm/VCCCxcGI/u3dugW7dWuHKlGB07NpZtU1WlR35+Odq1i7R7nBMnsjFjRhy+/vpRh9mVRqNAQUE5wsODERkZhrIyLUpLtXYzG0+fzkXfvotsirF067bQkjFpdu5cAd58czPCwoLx5ZePYuvWVOTllWHw4NuxadNZ/OMfdyA19TrWrj2D99/vi+PHs7BuXQr27TMF0pYvP2233fZIMxnNBXeGDVuN++9v6fI+9HojXn99M06ceN1mnTuZndYBTW/OubV/f4bi8vz8MnTrtgCffNIP584VeK8BLnAU6Kwpo1Fg6NAVHt+vr7H4BBERERHVN/Um2Llq1SpMmDAB8+fPR69evTBr1iwMGjQI586dQ4sWLWq7eUT1Qn5+GYKD1WjSpEFtN6XWGI0CV68WIzo6EiqVCuXlOsTFXZFt063bAvTu3Q6zZw/GwYMZ6N27HRo0CLGsNxiMWLcuBVevFmPLllS0adMQCxYMRUJCDgDTEOojR67itde6o0uXlpg0KQZZWSXo3LkFpk07BAB4++1emD37KEaOvA/z5v0DlZV6REXdhFGjNmLt2jNYseIZVFXp0bZtJNRqFT75JBbjxvVE377RlqrVhw5lYOzYHnjkkY64554o/PxzAsrKtNBoKvHNN4ct7W3fvhFSU9/CP/7xG44evYpffx2Gt97ahn79OmDlymeh0VRi5840DB++FoDtXITWgU4AyM0tw/z58QCU5zl9771dlr+XLTvl+gtkRaUCnn66Bdavz1Ncn5SUh6Qk5XX2JCbmoLxch4iIENlyd4afu1JcyNtKSrRITMzBM8+sxqOP3lLbzXFbfQkA1pfzJCIiIiIyUwlXJ6Oq43r16oUePXpg7ty5AACj0Yjo6Gi89dZb+Oijjxw+t7i4GI0aNcKHH/6OiAj72U7+wmAwIDU1FXfccQeCgoI8tE8jrl+vwLVr5v/KERIShHvvjUK7dpEuV9TUag0oKalCcbEWFRU6hIUFIyIiGA0ahCA8PBiZmSWoqtIjOFht+S8oSGX1WL7O2bGFEKis1Fv+q6gw/b9hw1C0aHETwsOVY/5CCOh0RpSX61BRoUN5uel5arW0PfK2Sf9Tq1UoLKxEfn45DAYjVCoV2ra9GY0bh7t9/e3R6QzIySlFZmYJsrNLcfPNoWjd+maEhKgREhKEkBA1QkODZI9DQoKgVrtfAfXaNVNhi2bNIizLDAYjCgrKcf16JUJC1IiICEFERAgaNAhGaGiQ5bUpKChHbOwlJCfnQ61W4dFHO6JPn3a4cEHeTy9f1iAhIQeNG4ejbdtItG17sywgpNUaUFqqRVmZFmVlOpSV6SyPy8t1aNcuEt26tUJ2dimioyMRFCSvwVZcXIXExBwkJOTgpptC8NRTd6GyUo+SEi0aNgxBZGQYwsODkZVVimbNGiAyMgxCmIKTQkDWXwoKypGTU4omTcJx002hKCyshE5nQGZmCUJDg9CwYSgyM4vRvHkEUlOv4+rVYjz4YGuUlekQH5+NDh0aoWfPttiyJdVp8ZpWrRqic+conDiRjfbtG+HixULZ0Pe67O67myMjowhlZc4L+NSG8HAVli27DyNGnIZeb/+fS3ez5wYPvg19+kQDMPXrq1eLsXSp7VyVRK4KD1ehf/9miI29hqqqevHRjuqoBg3UWLHifowYcQoVFZynmvwT+ynVFeyrVFeY++orrxxHYeGXKCoqQmSk9+Jr9SKzU6vVIj4+HhMnTrQsU6vVGDBgAOLi4my2r6qqQlVV9XxoRUWmggPTpu0BEOb19npOutePcOSIbdVZIkeMRmD37hTs3p3y/5eke2zfp08D27YlubTt9evAnDnuZeTdqP37q+feu3y5Epcv59psExSkghACRslnlZycSuTkmIYJFxZqvN1Mn0pJsT/Po1pdHUAMDa3+YcNoFNDrhWWOSvN6tdp07YQAtFph2YfRCAQHqxAUBNk+TOtV0OmMMBqrjyGEsGzXoIEaOl0lbr5Zp/gBUrqtK3Q6IwwGYPv2ZGzfnuzy84KDVQ6DrWFhprZXVRkhBBASooJOJ98+JESFoKDqtpp/61Rqv14vLMdTqYCwMLXseUrBtKAgldOMU3M7jUYBrVZYXh9rISGmNpnPwXrfph/BAL1eOcvVfK4Gg5Bdh9BQ03U0Gm2vh7lNNyokxHRc83mZfhSrPo5Wa7SsCwtTWa5lUJDpuqhUpn6pUlXfDwwGWNYFB6ug1QpL3zdf0wYN1HjxxaY4ciQHBoMBer2wrPMW87lYnyORI+HhapSXlyM8XAsh+MWc/BP7KdUV7KtUV5j7akiIKcnF23mX9SKzMysrC23btsXhw4fRp08fy/IPPvgA+/btw9Gj8iGQn332Gf7v//7P180kIiIiIiIiIiIKaGlpabj11lu9tv96kdnprokTJ2LChAmWxxqNBh06dEBGRgYaNWpk93k9evTAsWPHfNFEh4qLixEdHY0rV654NS3YFf5yTdgO/2sH+ynbURfa4U/9FPCPa8J2+Gc7/Kmv+sP1MPOXtrAd1dhX2Y660A72U/9tB+A/bfGHdrCvsh2u8Ie2mPtqcnIyOnfujKZNm3r1ePUi2Nm8eXMEBQUhN1c+ZDQ3NxetWrWy2T4sLAxhYbbD1Rs1auTwBhIUFFTrNxipyMjIWm+Pv1wTtsM/2wGwn7Id/t8OwD/6KeA/14Tt8M92AP7RV/3pevhLW9gOW+yrbIe/twNgP/XHdgD+0xZ/aQfAvsp2OOZPbTG3Q61WO9nyxnh3734iNDQU3bt3R0xMjGWZ0WhETEyMbFj7jRo7dqzH9hUo/OWasB1y/tIOf+Ev14PtkPOXdvgTf7kmbIecv7TDX/jT9fCXtrAd/slfrgfbIecv7fAX/nI9/KUdgP+0xV/a4S/85XqwHbb8qS2+Ui/m7ASAVatW4aWXXsKCBQvQs2dPzJo1C6tXr8bZs2fRsmVLh881V2P3drUoT6lr7aX6if2U6gL2U6or2FeprmBfpbqA/ZTqCvZVqivMffXKlSuIjo5mNXZPGT58OPLz8/Hpp58iJycHXbt2xfbt250GOgHTsPbJkycrDm33R3WtvVQ/sZ9SXcB+SnUF+yrVFeyrVBewn1Jdwb5KdYW5r0ZGRvqkz9abzE4iIiIiIiIiIiIKbPVizk4iIiIiIiIiIiIKfAx2EhERERERERERUUBgsJOIiIiIiIiIiIgCAoOdREREREREREREFBAY7PRD+/fvx9ChQ9GmTRuoVCps3LhRtj43Nxcvv/wy2rRpg4iICAwePBipqamybdLS0vD0008jKioKkZGReP7555Gbmyvb5vr16xg5ciQiIyPRuHFjjB49GqWlpd4+PQoQvuqnHTt2hEqlkv03depUb58eBZApU6agR48euPnmm9GiRQs89dRTOHfunGybyspKjB07Fs2aNUPDhg3xzDPP2PTFjIwMDBkyBBEREWjRogXef/996PV62TZ79+7FAw88gLCwMNx+++1YsmSJt0+PAoiv+urevXtt7qsqlQo5OTk+OU+q2zzVT99++210794dYWFh6Nq1q+KxTp06hb/85S8IDw9HdHQ0vvnmG2+dFgUgX/XV9PR0xXvqkSNHvHl6FEA80VdPnjyJESNGIDo6Gg0aNMDdd9+N7777zuZY/KxKNeWrfuqpz6kMdvqhsrIydOnSBfPmzbNZJ4TAU089hYsXL2LTpk1ISEhAhw4dMGDAAJSVlVmeP3DgQKhUKsTGxuLQoUPQarUYOnQojEajZV8jR45EcnIydu3ahc2bN2P//v147bXXfHaeVLf5qp8CwOeff47s7GzLf2+99ZZPzpECw759+zB27FgcOXIEu3btgk6nw8CBAy19EQDeffdd/PHHH1izZg327duHrKwsDBs2zLLeYDBgyJAh0Gq1OHz4MJYuXYolS5bg008/tWxz6dIlDBkyBP3790diYiLGjx+Pf/3rX9ixY4dPz5fqLl/1VbNz587J7q0tWrTwyXlS3eaJfmr26quvYvjw4YrHKS4uxsCBA9GhQwfEx8dj+vTp+Oyzz7Bw4UKvnRsFFl/1VbPdu3fL7qndu3f3+DlRYPJEX42Pj0eLFi2wfPlyJCcn4+OPP8bEiRMxd+5cyzb8rEo3wlf91OyGP6cK8msAxIYNGyyPz507JwCIpKQkyzKDwSCioqLEjz/+KIQQYseOHUKtVouioiLLNhqNRqhUKrFr1y4hhBBnzpwRAMSxY8cs22zbtk2oVCqRmZnp5bOiQOOtfiqEEB06dBAzZ870+jlQ/ZGXlycAiH379gkhTP0uJCRErFmzxrJNSkqKACDi4uKEEEJs3bpVqNVqkZOTY9nmhx9+EJGRkaKqqkoIIcQHH3wgOnfuLDvW8OHDxaBBg7x9ShSgvNVX9+zZIwCIwsJC350MBaya9FOpyZMniy5dutgs//7770WTJk0s/VYIIT788EPRqVMnz58E1Qve6quXLl0SAERCQoK3mk71zI32VbMxY8aI/v37Wx7zsyp5krf6qac+pzKzs46pqqoCAISHh1uWqdVqhIWF4eDBg5ZtVCoVwsLCLNuEh4dDrVZbtomLi0Pjxo3x4IMPWrYZMGAA1Go1jh496otToQDmqX5qNnXqVDRr1gzdunXD9OnTbYYOE7mjqKgIANC0aVMApl8YdTodBgwYYNnmrrvuQvv27REXFwfAdM+877770LJlS8s2gwYNQnFxMZKTky3bSPdh3sa8DyJ3eauvmnXt2hWtW7fGY489hkOHDnn7dChA1aSfuiIuLg79+vVDaGioZdmgQYNw7tw5FBYWeqj1VJ94q6+aPfHEE2jRogUefvhh/P77755pNNVLnuqrRUVFln0A/KxKnuWtfmp2o59TGeysY8ydZeLEiSgsLIRWq8W0adNw9epVZGdnAwB69+6Nm266CR9++CHKy8tRVlaG9957DwaDwbJNTk6OTRpwcHAwmjZtyjm76IZ5qp8CpnmSVq5ciT179uD111/H119/jQ8++KC2To3qOKPRiPHjx+Ohhx7CvffeC8B0PwwNDUXjxo1l27Zs2dJyP8zJyZEFj8zrzescbVNcXIyKigpvnA4FMG/21datW2P+/PlYt24d1q1bh+joaDzyyCM4ceKEl8+KAk1N+6krXOnLRK7yZl9t2LAhZsyYgTVr1mDLli14+OGH8dRTTzHgSTXiqb56+PBhrFq1SjZNHT+rkqd4s5966nNqsHunRLUtJCQE69evx+jRo9G0aVMEBQVhwIAB+Pvf/w4hBAAgKioKa9aswZtvvonZs2dDrVZjxIgReOCBB6BWM75N3ufJfjphwgTL3/fffz9CQ0Px+uuvY8qUKbKsUCJXjB07FklJSTbZw0T+xpt9tVOnTujUqZPlcd++fZGWloaZM2di2bJlHj8eBS7eU6mu8GZfbd68uezzao8ePZCVlYXp06fjiSee8PjxKLB5oq8mJSXhySefxOTJkzFw4EAPto7IxJv91FOfUxn5qoO6d++OxMREaDQaZGdnY/v27bh27RpuvfVWyzYDBw5EWloa8vLyUFBQgGXLliEzM9OyTatWrZCXlyfbr16vx/Xr19GqVSufng8FJk/0UyW9evWCXq9Henq6D86CAsm4ceOwefNm7NmzB+3atbMsb9WqFbRaLTQajWz73Nxcy/2wVatWNtVZzY+dbRMZGYkGDRp4+nQogHm7ryrp2bMnLly44KEzoPrgRvqpK2ral4msebuvKunVqxfvqeQ2T/TVM2fO4G9/+xtee+01/Oc//5Gt42dV8gRv91MlNfmcymBnHdaoUSNERUUhNTUVx48fx5NPPmmzTfPmzdG4cWPExsYiLy/P8utinz59oNFoEB8fb9k2NjYWRqMRvXr18tk5UOC7kX6qJDExEWq1mlWDyWVCCIwbNw4bNmxAbGwsbrnlFtn67t27IyQkBDExMZZl586dQ0ZGBvr06QPAdM88ffq07EeiXbt2ITIyEvfcc49lG+k+zNuY90HkjK/6qpLExES0bt3aw2dEgcgT/dQVffr0wf79+6HT6SzLdu3ahU6dOqFJkyY3fiIU8HzVV5Xwnkru8FRfTU5ORv/+/fHSSy/hq6++sjkOP6vSjfBVP1VSo3vqDZU3Iq8oKSkRCQkJIiEhQQAQ3377rUhISBCXL18WQgixevVqsWfPHpGWliY2btwoOnToIIYNGybbx6JFi0RcXJy4cOGCWLZsmWjatKmYMGGCbJvBgweLbt26iaNHj4qDBw+KO+64Q4wYMcJn50l1my/66eHDh8XMmTNFYmKiSEtLE8uXLxdRUVFi1KhRPj1XqtvefPNN0ahRI7F3716RnZ1t+a+8vNyyzRtvvCHat28vYmNjxfHjx0WfPn1Enz59LOv1er249957xcCBA0ViYqLYvn27iIqKEhMnTrRsc/HiRRERESHef/99kZKSIubNmyeCgoLE9u3bfXq+VHf5qq/OnDlTbNy4UaSmporTp0+Ld955R6jVarF7926fni/VTZ7op0IIkZqaKhISEsTrr78u7rzzTstnCnP1dY1GI1q2bClefPFFkZSUJFauXCkiIiLEggULfHq+VHf5qq8uWbJE/PbbbyIlJUWkpKSIr776SqjVarFo0SKfni/VXZ7oq6dPnxZRUVHif/7nf2T7yMvLs2zDz6p0I3zVTz31OZXBTj+0Z88eAcDmv5deekkIIcR3330n2rVrJ0JCQkT79u3Ff/7zH8s/tmYffvihaNmypQgJCRF33HGHmDFjhjAajbJtrl27JkaMGCEaNmwoIiMjxSuvvCJKSkp8dZpUx/min8bHx4tevXqJRo0aifDwcHH33XeLr7/+WlRWVvryVKmOU+qnAMTixYst21RUVIgxY8aIJk2aiIiICPH000+L7Oxs2X7S09PF3//+d9GgQQPRvHlz8e9//1vodDrZNnv27BFdu3YVoaGh4tZbb5Udg8gZX/XVadOmidtuu02Eh4eLpk2bikceeUTExsb66jSpjvNUP/3rX/+quJ9Lly5Ztjl58qR4+OGHRVhYmGjbtq2YOnWqj86SAoGv+uqSJUvE3XffLSIiIkRkZKTo2bOnWLNmjQ/PlOo6T/TVyZMnK+6jQ4cOsmPxsyrVlK/6qac+p6r+f6OJiIiIiIiIiIiI6jTO2UlEREREREREREQBgcFOIiIiIiIiIiIiCggMdhIREREREREREVFAYLCTiIiIiIiIiIiIAgKDnURERERERERERBQQGOwkIiIiIiIiIiKigMBgJxEREREREREREQUEBjuJiIiIiIiIiIgoIDDYSURERERERERERAGBwU4iIiIi8hsvv/wyVCoVVCoVQkJC0LJlSzz22GNYtGgRjEajy/tZsmQJGjdu7L2GEhEREZFfYrCTiIiIiPzK4MGDkZ2djfT0dGzbtg39+/fHO++8g8cffxx6vb62m0dEREREfozBTiIiIiLyK2FhYWjVqhXatm2LBx54AJMmTcKmTZuwbds2LFmyBADw7bff4r777sNNN92E6OhojBkzBqWlpQCAvXv34pVXXkFRUZElS/Szzz4DAFRVVeG9995D27ZtcdNNN6FXr17Yu3dv7ZwoEREREXkcg51ERERE5PceffRRdOnSBevXrwcAqNVqzJ49G8nJyVi6dCliY2PxwQcfAAD69u2LWbNmITIyEtnZ2cjOzsZ7770HABg3bhzi4uKwcuVKnDp1Cs899xwGDx6M1NTUWjs3IiIiIvIclRBC1HYjiIiIiIgA05ydGo0GGzdutFn3wgsv4NSpUzhz5ozNurVr1+KNN95AQUEBANOcnePHj4dGo7Fsk5GRgVtvvRUZGRlo06aNZfmAAQPQs2dPfP311x4/HyIiIiLyreDabgARERERkSuEEFCpVACA3bt3Y8qUKTh79iyKi4uh1+tRWVmJ8vJyREREKD7/9OnTMBgMuPPOO2XLq6qq0KxZM6+3n4iIiIi8j8FOIiIiIqoTUlJScMsttyA9PR2PP/443nzzTXz11Vdo2rQpDh48iNGjR0Or1doNdpaWliIoKAjx8fEICgqSrWvYsKEvToGIiIiIvIzBTiIiIiLye7GxsTh9+jTeffddxMfHw2g0YsaMGVCrTVPQr169WrZ9aGgoDAaDbFm3bt1gMBiQl5eHv/zlLz5rOxERERH5DoOdRERERORXqqqqkJOTA4PBgNzcXGzfvh1TpkzB448/jlGjRiEpKQk6nQ5z5szB0KFDcejQIcyfP1+2j44dO6K0tBQxMTHo0qULIiIicOedd2LkyJEYNWoUZsyYgW7duiE/Px8xMTG4//77MWTIkFo6YyIiIiLyFFZjJyIiIiK/sn37drRu3RodO3bE4MGDsWfPHsyePRubNm1CUFAQunTpgm+//RbTpk3Dvffei19//RVTpkyR7aNv37544403MHz4cERFReGbb74BACxevBijRo3Cv//9b3Tq1AlPPfUUjh07hvbt29fGqRIRERGRh7EaOxEREREREREREQUEZnYSERERERERERFRQGCwk4iIiIiIiIiIiAICg51EREREREREREQUEBjsJCIiIiIiIiIiooDAYCcREREREREREREFBAY7iYiIiIiIiIiIKCAw2ElEREREREREREQBgcFOIiIiIiIiIiIiCggMdhIREREREREREVFAYLCTiIiIiIiIiIiIAgKDnURERERERERERBQQ/h+ajrODEusAxwAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -446,10 +446,10 @@
    "id": "smooth-stupid",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:01.672657Z",
-     "iopub.status.busy": "2024-09-13T08:21:01.672450Z",
-     "iopub.status.idle": "2024-09-13T08:21:02.046865Z",
-     "shell.execute_reply": "2024-09-13T08:21:02.046288Z"
+     "iopub.execute_input": "2025-02-02T04:19:35.210229Z",
+     "iopub.status.busy": "2025-02-02T04:19:35.209859Z",
+     "iopub.status.idle": "2025-02-02T04:19:35.479102Z",
+     "shell.execute_reply": "2025-02-02T04:19:35.478543Z"
     },
     "tags": [
      "remove-input"
@@ -458,7 +458,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -493,10 +493,10 @@
    "id": "0652f359",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:02.049559Z",
-     "iopub.status.busy": "2024-09-13T08:21:02.049136Z",
-     "iopub.status.idle": "2024-09-13T08:21:02.219183Z",
-     "shell.execute_reply": "2024-09-13T08:21:02.218585Z"
+     "iopub.execute_input": "2025-02-02T04:19:35.480907Z",
+     "iopub.status.busy": "2025-02-02T04:19:35.480722Z",
+     "iopub.status.idle": "2025-02-02T04:19:35.691450Z",
+     "shell.execute_reply": "2025-02-02T04:19:35.690933Z"
     },
     "tags": [
      "remove-input"
@@ -505,7 +505,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -538,10 +538,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:02.221472Z",
-     "iopub.status.busy": "2024-09-13T08:21:02.221290Z",
-     "iopub.status.idle": "2024-09-13T08:21:02.482349Z",
-     "shell.execute_reply": "2024-09-13T08:21:02.481880Z"
+     "iopub.execute_input": "2025-02-02T04:19:35.693302Z",
+     "iopub.status.busy": "2025-02-02T04:19:35.693119Z",
+     "iopub.status.idle": "2025-02-02T04:19:35.969280Z",
+     "shell.execute_reply": "2025-02-02T04:19:35.968770Z"
     },
     "tags": [
      "remove-input"
@@ -550,7 +550,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -595,10 +595,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:02.484535Z",
-     "iopub.status.busy": "2024-09-13T08:21:02.484248Z",
-     "iopub.status.idle": "2024-09-13T08:21:02.743497Z",
-     "shell.execute_reply": "2024-09-13T08:21:02.742894Z"
+     "iopub.execute_input": "2025-02-02T04:19:35.971292Z",
+     "iopub.status.busy": "2025-02-02T04:19:35.970872Z",
+     "iopub.status.idle": "2025-02-02T04:19:36.248123Z",
+     "shell.execute_reply": "2025-02-02T04:19:36.247528Z"
     },
     "tags": [
      "remove-input"
@@ -607,7 +607,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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QMFnt5ptv1r59+7R58+Zzjg0PD9fp06fdt6xWO3z4sI4fP26qs7mFh4dr9+7dNfpru6YXojHXTzoTDAcMGKCNGzdqw4YN8vf3V/fu3d3bq1+8VP3ypYsVWM9XY89fkm655Ra1atVKy5Yt0yeffKJjx4795G8HrjZ8+HDZ7XbNnj1bpaWlkqSOHTvq6NGjio+PV1JSUo12zTXXuMdJqjegV/9e1fa7t3v37gb93lX/PTv7Tca17VOSQkJCNH78eK1cuVLff/+9goKC9PTTT5/zOAAuDQRWAMB58/PzU0ZGhtLS0pScnFznuGHDhunUqVN66aWXTP3PPfecLBaLe6WksLCwxtyePXtKkvuzMtXfcGzoW1R///vfy9fXV2PHjtXhw4drbN+3b59eeOEFd52S9Pzzz5vGPPvss5JU61tMm8uwYcO0detWU5AqLS3VX/7yF0VERKhLly5NcpzGXL9q119/vf7zn//o1VdfVf/+/U0rbHFxcdq9e7c+/PBDBQUFuW9h9lTnc/4tW7bU7bffro8//lgZGRny9fXVrbfeerFK1tSpU3X06FG98sorks6sUp46dUp//vOfa4ytqqpy/10aNGiQWrVqpTlz5qisrMw0rnoluk+fPmrTpo2WLFli+tTTJ598op07dzbo70j13/cXX3zR1H/237tTp06pqKjI1NemTRuFhobW+MwUgEsXtwQDAC7I/ffff84xycnJcjgc+sMf/qC8vDxdc801+vTTT/Xhhx9q4sSJ7pWdWbNm6Z///KeGDx+u8PBwHTlyRIsXL1b79u3dK3EdO3aU1WrVkiVL1KpVK/n6+qp///6KjIys9dgdO3bUsmXL9Otf/1pXX3217rvvPnXr1k0VFRXatGmT3n33XT3wwAOSztzOev/99+svf/mLjh8/Lrvdrq1bt+r111/XbbfdJofD0TQXrQlMmzZN77zzjoYOHapHH31UgYGBev311/X999/rvffeu6DbMH+sMdevWvV/q82bNystLc20bcCAAbJYLNqyZYuSk5PrXDH/5JNP3KvFPxYXF3dRn188n/OXztwW/MYbb2j16tW655573P/QUpv//d//lZ+fX43+gQMHqm3bto2ueejQoerWrZueffZZpaSkyG63a9y4cZozZ45yc3M1aNAgXX755dqzZ4/effddvfDCC7rjjjvk7++v5557TmPHjlXfvn119913q3Xr1vp//+//6eTJk3r99dd1+eWXa968eRo9erTsdrvuuusuHT58WC+88IIiIiI0adKkc9bXs2dP3XXXXVq8eLGKiooUFxenrKysGt/FLSkpUfv27XXHHXfommuukZ+fn9auXatt27Zp4cKFjb4uAH6mmvMVxQCAn5cff9amPmd/1sYwznxyZdKkSUZoaKhx+eWXG506dTLmz5/v/lyGYRhGVlaWceuttxqhoaHGFVdcYYSGhhp33XWX8e2335r29eGHHxpdunQxvLy8GvyJm2+//dZ46KGHjIiICOOKK64wWrVqZcTHxxuLFi0yysrK3OMqKyuNJ5980oiMjDQuv/xyw2azGdOnTzeNqescDcOo8UkRwzCM77//3pBkzJ8/3913//33G76+vjXm2+12o2vXrjX6azvevn37jDvuuMOwWq2Gj4+P0a9fP+Ojjz4yjan+rMu7775ba00NuXaG0fDrZxiGUVpa6v5v8+mnn9bYV48ePQxJxrx582psq++zNg2pt67P2lzM8zcMw6iqqjJCQkIMScbHH39c6z7r+6yNzvoMUm3q+h00DMN47bXXapzfX/7yF6N3795Gy5YtjVatWhndu3c3fv/73xsHDx40zV21apURFxdntGzZ0vD39zf69etnvPPOO6YxK1asMHr16mV4e3sbgYGBxj333GP8+9//No2p63fcMAzjhx9+MB599FEjKCjI8PX1NZKTk439+/ebPmtTXl5uTJkyxbjmmmuMVq1aGb6+vsY111xjLF68uN7rAuDSYjGMC3iDAwAAAAAAPxGeYQUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPJJXcxeAX4bTp0/r4MGDatWqVZ0fiQcAAABw6TMMQyUlJQoNDVWLFvWvoRJYcVEcPHhQNputucsAAAAA4CH279+v9u3b1zuGwIqLolWrVpLO/FL6+/s3czUAAAAAmktxcbFsNps7I9SHwIqLovo2YH9/fwIrAAAAgAY9KshLlwAAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCMRWAEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjeTV3AfhlCegyT2rh09xlNBkjf2ZzlwAAAABcslhhBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoH1J1BQUKAJEyYoKipK3t7estlsSk5OVlZWlkaNGqUhQ4aYxmdmZspisSgtLc3Un5aWpg4dOkiS8vLyZLFYam1btmyps5b3339fffr0kdVqla+vr3r27Kk333yzxphBgwYpKChIFotFubm5NfZTVlamlJQUBQUFyc/PTyNGjNDhw4fP7wIBAAAAQAMQWJtYXl6eevfurXXr1mn+/PnasWOHMjMz5XA4lJKSIofDoY0bN6qqqso9x+l0ymazyeVymfbldDrlcDhMfWvXrtWhQ4dMrXfv3nXWExgYqD/84Q/avHmzvvzyS40ePVqjR4/W6tWr3WNKS0t1/fXXa968eXXuZ9KkSfr73/+ud999V5999pkOHjyoX/3qV428OgAAAADQcF7NXcClZvz48bJYLNq6dat8fX3d/V27dtWYMWN05MgRnThxQtu3b9eAAQMkSS6XS9OmTVNqaqrKysrk4+OjsrIyZWdna/To0ab9BwUFqV27dg2uJzEx0fTzY489ptdff10bNmzQ4MGDJUn33nuvpDNhuzZFRUVaunSpli1bphtvvFGS9Oqrr+rqq6/Wli1b3OcBAAAAAE2JFdYmVFhYqMzMTKWkpJjCajWr1aqYmBiFhobK6XRKkkpKSpSTk6ORI0cqIiJCmzdvliRt2rRJ5eXlNVZYL4RhGMrKytLu3buVkJDQ4Hmff/65KisrlZSU5O6LjY1Vhw4d3PWerby8XMXFxaYGAAAAAI1BYG1Ce/fulWEYio2NrXecw+Fw3/67fv16xcTEKDg4WAkJCe5+l8ulyMhIhYeHm+bGxcXJz8/P1M6lqKhIfn5+uuKKKzR8+HAtWrRIAwcObPB5FRQU6IorrpDVajX1t23bVgUFBbXOmTNnjgICAtzNZrM1+HgAAAAAIBFYm5RhGA0al5iYqI0bN6qyslIul8t9267dbjcF1tpWV1esWKHc3FxTk6T8/HxTiJ09e7Z7TqtWrZSbm6tt27bp6aef1uOPP17jedmmNn36dBUVFbnb/v37f9LjAQAAALj08AxrE+rUqZMsFot27dpV7ziHw6HS0lJt27ZNTqdTU6ZMkXQmsI4ZM0aFhYXKzs7WuHHjasy12WyKjo6u0R8aGmp6u29gYKD7zy1atHDP6dmzp3bu3Kk5c+bUeL61Lu3atVNFRYWOHz9uWmU9fPhwnc/Tent7y9vbu0H7BwAAAIDasMLahAIDAzV48GClp6ertLS0xvbjx49Lkjp27CibzaZVq1YpNzdXdrtdkhQWFqawsDAtXLhQFRUVjXp+1cvLS9HR0e7248B6ttOnT6u8vLzB++7du7cuv/xyZWVluft2796t/Px8XXfddQ3eDwAAAAA0BiusTSw9PV3x8fHq16+fZs2apR49eqiqqkpr1qxRRkaGdu7cKenMKuvixYsVHR2ttm3buufb7XYtWrTI/XKmsx09erTGc6NWq1U+Pj611jNnzhz16dNHHTt2VHl5uT7++GO9+eabysjIcI8pLCxUfn6+Dh48KOlMGJXOrKy2a9dOAQEBevDBB/X4448rMDBQ/v7+mjBhgq677jreEAwAAADgJ8MKaxOLiopSTk6OHA6HUlNT1a1bNw0cOFBZWVmmkOhwOFRSUlLjtly73a6SkpI6V1eTkpIUEhJiaitXrqyzntLSUo0fP15du3ZVfHy83nvvPb311lsaO3ase8yqVavUq1cvDR8+XJI0atQo9erVS0uWLHGPee6553TzzTdrxIgRSkhIULt27fT++++fxxUCAAAAgIaxGA19UxBwAYqLixUQECCFzZBa1L4a/HNk5M9s7hIAAACAn5XqbFBUVCR/f/96x7LCCgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JH4rA0uqqJvpp7zwWoAAAAAkFhhBQAAAAB4KAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACAR+ItwbioArrMk1r4NHcZTcrIn9ncJQAAAACXJFZYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisAAAAAACPRGD9CRQUFGjChAmKioqSt7e3bDabkpOTlZWVpVGjRmnIkCGm8ZmZmbJYLEpLSzP1p6WlqUOHDpKkvLw8WSyWWtuWLVvqrOXrr7/WiBEjFBERIYvFoueff77GmJKSEk2cOFHh4eFq2bKl4uLitG3bNtMYwzD0xz/+USEhIWrZsqWSkpK0Z8+e87tAAAAAANAABNYmlpeXp969e2vdunWaP3++duzYoczMTDkcDqWkpMjhcGjjxo2qqqpyz3E6nbLZbHK5XKZ9OZ1OORwOU9/atWt16NAhU+vdu3ed9Zw8eVJRUVGaO3eu2rVrV+uYsWPHas2aNXrzzTe1Y8cODRo0SElJSTpw4IB7zDPPPKMXX3xRS5YsUXZ2tnx9fTV48GCVlZWdx1UCAAAAgHOzGIZhNHcRl5Jhw4bpyy+/1O7du+Xr62vadvz4cR05ckSdO3fW5s2bNWDAAElS//79df/99ys1NVXHjh2Tj4+PysrKZLVatWTJEj3wwAPKy8tTZGSkvvjiC/Xs2fO8aouIiNDEiRM1ceJEd98PP/ygVq1a6cMPP9Tw4cPd/b1799bQoUP11FNPyTAMhYaGKjU1VZMnT5YkFRUVqW3btnrttdc0atSocx67uLhYAQEBUtgMqYXPedXvqYz8mc1dAgAAAPCzUZ0NioqK5O/vX+9YVlibUGFhoTIzM5WSklIjrEqS1WpVTEyMQkND5XQ6JZ25HTcnJ0cjR45URESENm/eLEnatGmTysvLa6ywNrWqqiqdOnVKPj7mENmyZUtt2LBBkvT999+roKBASUlJ7u0BAQHq37+/u96zlZeXq7i42NQAAAAAoDEIrE1o7969MgxDsbGx9Y5zOBzu23/Xr1+vmJgYBQcHKyEhwd3vcrkUGRmp8PBw09y4uDj5+fmZ2oVo1aqVrrvuOv35z3/WwYMHderUKb311lvavHmzDh06JOnMM7mS1LZtW9Pctm3buredbc6cOQoICHA3m812QXUCAAAA+OUhsDahht5dnZiYqI0bN6qyslIul0uJiYmSJLvdbgqsta2urlixQrm5uaYmSfn5+aYQO3v27AbX/eabb8owDIWFhcnb21svvvii7rrrLrVocf6/HtOnT1dRUZG77d+//7z3BQAAAOCXyau5C7iUdOrUSRaLRbt27ap3nMPhUGlpqbZt2yan06kpU6ZIOhNYx4wZo8LCQmVnZ2vcuHE15tpsNkVHR9foDw0NdYdXSQoMDGxw3R07dtRnn32m0tJSFRcXKyQkRL/+9a8VFRUlSe6XNR0+fFghISHueYcPH67zeVpvb295e3s3uAYAAAAAOBsrrE0oMDBQgwcPVnp6ukpLS2tsP378uKQzAdFms2nVqlXKzc2V3W6XJIWFhSksLEwLFy5URUVFo55f9fLyUnR0tLs1JrBW8/X1VUhIiI4dO6bVq1fr1ltvlSRFRkaqXbt2ysrKco8tLi5Wdna2rrvuukYfBwAAAAAaghXWJpaenq74+Hj169dPs2bNUo8ePVRVVaU1a9YoIyNDO3fulHRmlXXx4sWKjo42PRtqt9u1aNEi98uZznb06NEaz41ardYaL02qVlFRoW+++cb95wMHDig3N1d+fn7uldrVq1fLMAx17txZe/fu1ZQpUxQbG6vRo0dLkiwWiyZOnKinnnpKnTp1UmRkpGbOnKnQ0FDddtttF3zNAAAAAKA2rLA2saioKOXk5MjhcCg1NVXdunXTwIEDlZWVpYyMDPc4h8OhkpIS9/Or1ex2u0pKSupcXU1KSlJISIiprVy5ss56Dh48qF69eqlXr146dOiQFixYoF69emns2LHuMUVFRUpJSVFsbKzuu+8+XX/99Vq9erUuv/xy95jf//73mjBhgh5++GH17dtXJ06cUGZmZp1BGQAAAAAuFN9hxUXBd1gBAAAASHyHFQAAAABwCSCwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCS+w4qLquibqed8ExgAAAAASKywAgAAAAA8FIEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCReuoSLKqDLPKmFT3OX8ZMy8mc2dwkAAADAJYEVVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicD6EygoKNCECRMUFRUlb29v2Ww2JScnKysrS6NGjdKQIUNM4zMzM2WxWJSWlmbqT0tLU4cOHSRJeXl5slgstbYtW7bUWcsrr7yiG264Qa1bt1br1q2VlJSkrVu3msacOHFCjzzyiNq3b6+WLVuqS5cuWrJkSa37MwxDQ4cOlcVi0cqVKxt/cQAAAACggbyau4BLTV5enuLj42W1WjV//nx1795dlZWVWr16tVJSUjRp0iRNnjxZVVVV8vI6c/mdTqdsNptcLpdpX06nUw6Hw9S3du1ade3a1dQXFBRUZz0ul0t33XWX4uLi5OPjo3nz5mnQoEH6+uuvFRYWJkl6/PHHtW7dOr311luKiIjQp59+qvHjxys0NFS33HKLaX/PP/+8LBbL+V4eAAAAAGgwAmsTGz9+vCwWi7Zu3SpfX193f9euXTVmzBgdOXJEJ06c0Pbt2zVgwABJZ0LltGnTlJqaqrKyMvn4+KisrEzZ2dkaPXq0af9BQUFq165dg+t5++23TT//9a9/1XvvvaesrCzdd999kqRNmzbp/vvvV2JioiTp4Ycf1ssvv6ytW7eaAmtubq4WLlyo7du3KyQkpN7jlpeXq7y83P1zcXFxg2sGAAAAAIlbgptUYWGhMjMzlZKSYgqr1axWq2JiYhQaGiqn0ylJKikpUU5OjkaOHKmIiAht3rxZ0pkQWV5eXmOF9UKdPHlSlZWVCgwMdPfFxcVp1apVOnDggAzDkNPp1LfffqtBgwaZ5t19991KT09vUGCeM2eOAgIC3M1mszXpeQAAAAC49BFYm9DevXtlGIZiY2PrHedwONy3/65fv14xMTEKDg5WQkKCu9/lcikyMlLh4eGmuXFxcfLz8zO1xpg6dapCQ0OVlJTk7lu0aJG6dOmi9u3b64orrtCQIUOUnp6uhIQE95hJkyYpLi5Ot956a4OOM336dBUVFbnb/v37G1UnAAAAAHBLcBMyDKNB4xITEzVx4kRVVlbK5XK5b8W12+16+eWXJZ0JrLWtrq5YsUJXX311jf78/Hx16dLF/fOMGTM0Y8YM05i5c+dq+fLlcrlc8vHxcfcvWrRIW7Zs0apVqxQeHq5//vOfSklJcQfbVatWad26dfriiy8adH6S5O3tLW9v7waPBwAAAICzEVibUKdOnWSxWLRr1656xzkcDpWWlmrbtm1yOp2aMmWKpDOBdcyYMSosLFR2drbGjRtXY67NZlN0dHSN/tDQUOXm5rp//vEtv5K0YMECzZ07V2vXrlWPHj3c/T/88INmzJihDz74QMOHD5ck9ejRQ7m5uVqwYIGSkpK0bt067du3T1ar1bTPESNG6IYbbqjxsigAAAAAaAoE1iYUGBiowYMHKz09XY8++miN51iPHz8uq9Wqjh07ymazadWqVcrNzZXdbpckhYWFKSwsTAsXLlRFRUWjnl/18vKqNchK0jPPPKOnn35aq1evVp8+fUzbKisrVVlZqRYtzHeHX3bZZTp9+rQkadq0aRo7dqxpe/fu3fXcc88pOTm5wTUCAAAAQGMQWJtYenq64uPj1a9fP82aNUs9evRQVVWV1qxZo4yMDO3cuVPSmVXWxYsXKzo6Wm3btnXPt9vtWrRokfvlTGc7evSoCgoKTH1Wq9V0i++PzZs3T3/84x+1bNkyRUREuOdWP//q7+8vu92uKVOmqGXLlgoPD9dnn32mN954Q88++6wkqV27drW+aKlDhw6KjIw8vwsFAAAAAOfAS5eaWFRUlHJycuRwOJSamqpu3bpp4MCBysrKUkZGhnucw+FQSUmJ+/nVana7XSUlJXWuriYlJSkkJMTUVq5cWWc9GRkZqqio0B133GGas2DBAveY5cuXq2/fvrrnnnvUpUsXzZ07V08//bR++9vfXtC1AAAAAIALYTEa+qYg4AIUFxcrICBACpshtah9NfhSYeTPbO4SAAAAAI9VnQ2Kiork7+9f71hWWAEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwSn7XBRVX0zdRzPlgNAAAAABIrrAAAAAAAD0VgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6Jly7hogroMk9q4dPcZVwURv7M5i4BAAAA+FljhRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKw/gQKCgo0YcIERUVFydvbWzabTcnJycrKytKoUaM0ZMgQ0/jMzExZLBalpaWZ+tPS0tShQwdJUl5eniwWS61ty5YtDapr+fLlslgsuu2222ocJzY2Vr6+vmrdurWSkpKUnZ1d6z7Ky8vVs2dPWSwW5ebmNui4AAAAAHA+CKxNLC8vT71799a6des0f/587dixQ5mZmXI4HEpJSZHD4dDGjRtVVVXlnuN0OmWz2eRyuUz7cjqdcjgcpr61a9fq0KFDpta7d+8G1TV58mTdcMMNNbbFxMTopZde0o4dO7RhwwZFRERo0KBB+s9//lNj7O9//3uFhoY28GoAAAAAwPnzau4CLjXjx4+XxWLR1q1b5evr6+7v2rWrxowZoyNHjujEiRPavn27BgwYIElyuVyaNm2aUlNTVVZWJh8fH5WVlSk7O1ujR4827T8oKEjt2rVrVE2nTp3SPffcoyeffFLr16/X8ePHTdvvvvtu08/PPvusli5dqi+//FI33XSTu/+TTz7Rp59+qvfee0+ffPJJo2oAAAAAgMZihbUJFRYWKjMzUykpKaawWs1qtSomJkahoaFyOp2SpJKSEuXk5GjkyJGKiIjQ5s2bJUmbNm1SeXl5jRXW8zFr1iy1adNGDz744DnHVlRU6C9/+YsCAgJ0zTXXuPsPHz6shx56SG+++aauvPLKc+6nvLxcxcXFpgYAAAAAjUFgbUJ79+6VYRiKjY2td5zD4XDf/rt+/XrFxMQoODhYCQkJ7n6Xy6XIyEiFh4eb5sbFxcnPz8/U6rNhwwYtXbpUr7zySr3jPvroI/n5+cnHx0fPPfec1qxZo6uuukqSZBiGHnjgAf32t79Vnz596t1PtTlz5iggIMDdbDZbg+YBAAAAQDUCaxMyDKNB4xITE7Vx40ZVVlbK5XIpMTFRkmS3202BtbbV1RUrVig3N9fUJCk/P98UYmfPnq2SkhLde++9euWVV9zhsy4Oh0O5ubnatGmThgwZojvvvFNHjhyRJC1atEglJSWaPn16wy6EpOnTp6uoqMjd9u/f3+C5AAAAACDxDGuT6tSpkywWi3bt2lXvOIfDodLSUm3btk1Op1NTpkyRdCawjhkzRoWFhcrOzta4ceNqzLXZbIqOjq7RHxoaanprb2BgoPbt26e8vDwlJye7+0+fPi1J8vLy0u7du9WxY0dJkq+vr6KjoxUdHa0BAwaoU6dOWrp0qaZPn65169Zp8+bN8vb2Nh2zT58+uueee/T666/XqMfb27vGeAAAAABoDAJrEwoMDNTgwYOVnp6uRx99tMZzrMePH5fValXHjh1ls9m0atUq5ebmym63S5LCwsIUFhamhQsXqqKiolHPr3p5edUIsldeeaV27Nhh6nviiSdUUlKiF154od7bdE+fPq3y8nJJ0osvvqinnnrKve3gwYMaPHiwVqxYof79+ze4RgAAAABoDAJrE0tPT1d8fLz69eunWbNmqUePHqqqqtKaNWuUkZGhnTt3Sjqzyrp48WJFR0erbdu27vl2u12LFi1yv5zpbEePHlVBQYGpz2q1ysfHp8ZYHx8fdevWrcZYSe7+0tJSPf3007rlllsUEhKi//73v0pPT9eBAwc0cuRISXJ/C7Za9XOzHTt2VPv27RtzeQAAAACgwXiGtYlFRUUpJydHDodDqamp6tatmwYOHKisrCxlZGS4xzkcDpWUlLifX61mt9tVUlJS5+pqUlKSQkJCTG3lypXnXe9ll12mXbt2acSIEYqJiVFycrKOHj2q9evXq2vXrue9XwAAAAC4UBajoW8KAi5AcXGxAgICpLAZUouaq8GXIiN/ZnOXAAAAAHic6mxQVFQkf3//eseywgoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCR+KwNLqqib6ae88FqAAAAAJBYYQUAAAAAeCgCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEfiLcG4qAK6zJNa+DR3GReFkT+zuUsAAAAAftZYYQUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKB9SdQUFCgCRMmKCoqSt7e3rLZbEpOTlZWVpZGjRqlIUOGmMZnZmbKYrEoLS3N1J+WlqYOHTpIkvLy8mSxWGptW7ZsqbOW999/X3369JHVapWvr6969uypN9980zTm8OHDeuCBBxQaGqorr7xSQ4YM0Z49e0xj9u3bp9tvv13BwcHy9/fXnXfeqcOHD1/AVQIAAACA+hFYm1heXp569+6tdevWaf78+dqxY4cyMzPlcDiUkpIih8OhjRs3qqqqyj3H6XTKZrPJ5XKZ9uV0OuVwOEx9a9eu1aFDh0ytd+/eddYTGBioP/zhD9q8ebO+/PJLjR49WqNHj9bq1aslSYZh6LbbbtN3332nDz/8UF988YXCw8OVlJSk0tJSSVJpaakGDRoki8WidevWaePGjaqoqFBycrJOnz7dRFcOAAAAAMwshmEYzV3EpWTYsGH68ssvtXv3bvn6+pq2HT9+XEeOHFHnzp21efNmDRgwQJLUv39/3X///UpNTdWxY8fk4+OjsrIyWa1WLVmyRA888IDy8vIUGRmpL774Qj179rygGq+99loNHz5cf/7zn/Xtt9+qc+fO+uqrr9S1a1dJ0unTp9WuXTvNnj1bY8eO1aeffqqhQ4fq2LFj8vf3lyQVFRWpdevW+vTTT5WUlHTOYxYXFysgIEAKmyG18Lmg+n8ujPyZzV0CAAAA4HGqs0FRUZE7X9SFFdYmVFhYqMzMTKWkpNQIq5JktVoVExOj0NBQOZ1OSVJJSYlycnI0cuRIRUREaPPmzZKkTZs2qby8vMYK64UwDENZWVnavXu3EhISJEnl5eWSJB+f/wuRLVq0kLe3tzZs2OAeY7FY5O3t7R7j4+OjFi1auMecrby8XMXFxaYGAAAAAI1BYG1Ce/fulWEYio2NrXecw+Fw3/67fv16xcTEKDg4WAkJCe5+l8ulyMhIhYeHm+bGxcXJz8/P1M6lqKhIfn5+uuKKKzR8+HAtWrRIAwcOlCTFxsaqQ4cOmj59uo4dO6aKigrNmzdP//73v3Xo0CFJ0oABA+Tr66upU6fq5MmTKi0t1eTJk3Xq1Cn3mLPNmTNHAQEB7maz2c5ZJwAAAAD8GIG1CTX07urExERt3LhRlZWVcrlcSkxMlCTZ7XZTYK1tdXXFihXKzc01NUnKz883hdjZs2e757Rq1Uq5ubnatm2bnn76aT3++OPu41x++eV6//339e233yowMFBXXnmlnE6nhg4dqhYtzvx6BAcH691339Xf//53+fn5KSAgQMePH9e1117rHnO26dOnq6ioyN3279/foGsDAAAAANW8mruAS0mnTp1ksVi0a9euesc5HA6VlpZq27ZtcjqdmjJliqQzgXXMmDEqLCxUdna2xo0bV2OuzWZTdHR0jf7Q0FB3eJXOvGypWosWLdxzevbsqZ07d2rOnDnuoNy7d2/l5uaqqKhIFRUVCg4OVv/+/dWnTx/3PgYNGqR9+/bpv//9r7y8vGS1WtWuXTtFRUXVeo7e3t6mW4gBAAAAoLFYYW1CgYGBGjx4sNLT091v2P2x48ePS5I6duwom82mVatWKTc3V3a7XZIUFhamsLAwLVy4UBUVFY16ftXLy0vR0dHu9uPAerbTp0+7n139sYCAAAUHB2vPnj3avn27br311hpjrrrqKlmtVq1bt05HjhzRLbfc0uAaAQAAAKAxWGFtYunp6YqPj1e/fv00a9Ys9ejRQ1VVVVqzZo0yMjK0c+dOSWdWWRcvXqzo6Gi1bdvWPd9ut2vRokXulzOd7ejRoyooKDD1Wa1W00uTfmzOnDnq06ePOnbsqPLycn388cd68803lZGR4R7z7rvvKjg4WB06dNCOHTv02GOP6bbbbtOgQYPcY1599VVdffXVCg4O1ubNm/XYY49p0qRJ6ty58wVdLwAAAACoC4G1iUVFRSknJ0dPP/20UlNTdejQIQUHB6t3796mkOhwOPTGG2+4b8utZrfb9eqrr+ruu++udf+1fULmnXfe0ahRo2odX1paqvHjx+vf//63WrZsqdjYWL311lv69a9/7R5z6NAhPf744zp8+LBCQkJ03333aeZM8ydZdu/erenTp6uwsFARERH6wx/+oEmTJjX0sgAAAABAo/EdVlwUfIcVAAAAgMR3WAEAAAAAlwACKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIvCUYF1XRN1PP+WA1AAAAAEissAIAAAAAPBSBFQAAAADgkQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCPxlmBcVAFd5kktfJq7jGZh5M9s7hIAAACAnxVWWAEAAAAAHonACgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrAAAAAAAj0Rg/QkUFBRowoQJioqKkre3t2w2m5KTk5WVlaVRo0ZpyJAhpvGZmZmyWCxKS0sz9aelpalDhw6SpLy8PFksllrbli1b6qzl66+/1ogRIxQRESGLxaLnn3++xpg5c+aob9++atWqldq0aaPbbrtNu3fvNo0pKytTSkqKgoKC5OfnpxEjRujw4cPnd4EAAAAAoAEIrE0sLy9PvXv31rp16zR//nzt2LFDmZmZcjgcSklJkcPh0MaNG1VVVeWe43Q6ZbPZ5HK5TPtyOp1yOBymvrVr1+rQoUOm1rt37zrrOXnypKKiojR37ly1a9eu1jGfffaZUlJStGXLFq1Zs0aVlZUaNGiQSktL3WMmTZqkv//973r33Xf12Wef6eDBg/rVr351HlcIAAAAABrGq7kLuNSMHz9eFotFW7dula+vr7u/a9euGjNmjI4cOaITJ05o+/btGjBggCTJ5XJp2rRpSk1NVVlZmXx8fFRWVqbs7GyNHj3atP+goKA6g2dt+vbtq759+0qSpk2bVuuYzMxM08+vvfaa2rRpo88//1wJCQkqKirS0qVLtWzZMt14442SpFdffVVXX321tmzZ4j4PAAAAAGhKrLA2ocLCQmVmZiolJcUUVqtZrVbFxMQoNDRUTqdTklRSUqKcnByNHDlSERER2rx5syRp06ZNKi8vr7HCejEUFRVJkgIDAyVJn3/+uSorK5WUlOQeExsbqw4dOrjrPVt5ebmKi4tNDQAAAAAag8DahPbu3SvDMBQbG1vvOIfD4b79d/369YqJiVFwcLASEhLc/S6XS5GRkQoPDzfNjYuLk5+fn6k1pdOnT2vixImKj49Xt27dJJ15JveKK66Q1Wo1jW3btq0KCgpq3c+cOXMUEBDgbjabrUnrBAAAAHDpI7A2IcMwGjQuMTFRGzduVGVlpVwulxITEyVJdrvdFFhrW11dsWKFcnNzTU2S8vPzTSF29uzZ53UOKSkp+uqrr7R8+fLzml9t+vTpKioqcrf9+/df0P4AAAAA/PLwDGsT6tSpkywWi3bt2lXvOIfDodLSUm3btk1Op1NTpkyRdCawjhkzRoWFhcrOzta4ceNqzLXZbIqOjq7RHxoa6g6v0v/dztsYjzzyiD766CP985//VPv27d397dq1U0VFhY4fP25aZT18+HCdz9N6e3vL29u70TUAAAAAQDVWWJtQYGCgBg8erPT0dNMbdqsdP35cktSxY0fZbDatWrVKubm5stvtkqSwsDCFhYVp4cKFqqioaNTzq15eXoqOjna3xgRWwzD0yCOP6IMPPtC6desUGRlp2t67d29dfvnlysrKcvft3r1b+fn5uu666xp8HAAAAABoDFZYm1h6erri4+PVr18/zZo1Sz169FBVVZXWrFmjjIwM7dy5U9KZVdbFixcrOjpabdu2dc+32+1atGiR++VMZzt69GiN50atVqt8fHxqraeiokLffPON+88HDhxQbm6u/Pz83Cu1KSkpWrZsmT788EO1atXKvf+AgAC1bNlSAQEBevDBB/X4448rMDBQ/v7+mjBhgq677jreEAwAAADgJ8MKaxOLiopSTk6OHA6HUlNT1a1bNw0cOFBZWVnKyMhwj3M4HCopKXE/v1rNbrerpKSkztXVpKQkhYSEmNrKlSvrrOfgwYPq1auXevXqpUOHDmnBggXq1auXxo4d6x6TkZGhoqIiJSYmmva7YsUK95jnnntON998s0aMGKGEhAS1a9dO77///vldJAAAAABoAIvR0DcFAReguLhYAQEBUtgMqUXtq8GXOiN/ZnOXAAAAADS76mxQVFQkf3//eseywgoAAAAA8EgEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCR+KwNLqqib6ae88FqAAAAAJBYYQUAAAAAeCgCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEfiLcG4qAK6zJNa+DR3GR7LyJ/Z3CUAAAAAHoMVVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAIxFYfwIFBQWaMGGCoqKi5O3tLZvNpuTkZGVlZWnUqFEaMmSIaXxmZqYsFovS0tJM/WlpaerQoYMkKS8vTxaLpda2ZcuWOmt55ZVXdMMNN6h169Zq3bq1kpKStHXrVtOYEydO6JFHHlH79u3VsmVLdenSRUuWLHFvr+/Y77777gVeLQAAAACoHd9hbWJ5eXmKj4+X1WrV/Pnz1b17d1VWVmr16tVKSUnRpEmTNHnyZFVVVcnL68zldzqdstlscrlcpn05nU45HA5T39q1a9W1a1dTX1BQUJ31uFwu3XXXXYqLi5OPj4/mzZunQYMG6euvv1ZYWJgk6fHHH9e6dev01ltvKSIiQp9++qnGjx+v0NBQ3XLLLbLZbDp06JBpv3/5y180f/58DR069HwvFQAAAADUy2IYhtHcRVxKhg0bpi+//FK7d++Wr6+vadvx48d15MgRde7cWZs3b9aAAQMkSf3799f999+v1NRUHTt2TD4+PiorK5PVatWSJUv0wAMPKC8vT5GRkfriiy/Us2fP867v1KlTat26tV566SXdd999kqRu3brp17/+tWbOnOke17t3bw0dOlRPPfVUrfvp1auXrr32Wi1durRBxy0uLlZAQIAUNkNq4XPe9V/qjPyZ5x4EAAAA/IxVZ4OioiL5+/vXO5ZbgptQYWGhMjMzlZKSUiOsSpLValVMTIxCQ0PldDolSSUlJcrJydHIkSMVERGhzZs3S5I2bdqk8vLyGiusF+rkyZOqrKxUYGCguy8uLk6rVq3SgQMHZBiGnE6nvv32Ww0aNKjWfXz++efKzc3Vgw8+WOdxysvLVVxcbGoAAAAA0BgE1ia0d+9eGYah2NjYesc5HA737b/r169XTEyMgoODlZCQ4O53uVyKjIxUeHi4aW5cXJz8/PxMrTGmTp2q0NBQJSUlufsWLVqkLl26qH379rriiis0ZMgQpaenKyEhodZ9LF26VFdffbXi4uLqPM6cOXMUEBDgbjabrVF1AgAAAACBtQk19O7qxMREbdy4UZWVlXK5XEpMTJQk2e12U2CtbXV1xYoVys3NNTVJys/PN4XY2bNn15g7d+5cLV++XB988IF8fP7vttxFixZpy5YtWrVqlT7//HMtXLhQKSkpWrt2bY19/PDDD1q2bFm9q6uSNH36dBUVFbnb/v37G3RtAAAAAKAaL11qQp06dZLFYtGuXbvqHedwOFRaWqpt27bJ6XRqypQpks4E1jFjxqiwsFDZ2dkaN25cjbk2m03R0dE1+kNDQ93hVZLpll9JWrBggebOnau1a9eqR48e7v4ffvhBM2bM0AcffKDhw4dLknr06KHc3FwtWLDAtBIrSf/7v/+rkydPup9/rYu3t7e8vb3rHQMAAAAA9WGFtQkFBgZq8ODBSk9PV2lpaY3tx48flyR17NhRNptNq1atUm5urux2uyQpLCxMYWFhWrhwoSoqKhr1/KqXl5eio6Pd7ceB9ZlnntGf//xnZWZmqk+fPqZ5lZWVqqysVIsW5l+Fyy67TKdPn65xnKVLl+qWW25RcHBwg2sDAAAAgPPBCmsTS09PV3x8vPr166dZs2apR48eqqqq0po1a5SRkaGdO3dKOrPKunjxYkVHR6tt27bu+Xa7XYsWLXK/nOlsR48eVUFBganParWabvH9sXnz5umPf/yjli1bpoiICPfc6luH/f39ZbfbNWXKFLVs2VLh4eH67LPP9MYbb+jZZ5817Wvv3r365z//qY8//viCrhEAAAAANAQrrE0sKipKOTk5cjgcSk1NVbdu3TRw4EBlZWUpIyPDPc7hcKikpMT9/Go1u92ukpKSOldXk5KSFBISYmorV66ss56MjAxVVFTojjvuMM1ZsGCBe8zy5cvVt29f3XPPPerSpYvmzp2rp59+Wr/97W9N+/rb3/6m9u3b1/n2YAAAAABoSnyHFRcF32FtGL7DCgAAgEsd32EFAAAAAPzsEVgBAAAAAB6JwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8Et9hxUVV9M3Uc74JDAAAAAAkVlgBAAAAAB6KwAoAAAAA8EgEVgAAAACARyKwAgAAAAA8Ei9dwkUV0GWe1MKnucvwaEb+zOYuAQAAAPAIrLACAAAAADwSgRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgE1p9AQUGBJkyYoKioKHl7e8tmsyk5OVlZWVkaNWqUhgwZYhqfmZkpi8WitLQ0U39aWpo6dOggScrLy5PFYqm1bdmypUF1LV++XBaLRbfddpupv679zp8/3zTuH//4h/r376+WLVuqdevWNfYDAAAAAE3Jq7kLuNTk5eUpPj5eVqtV8+fPV/fu3VVZWanVq1crJSVFkyZN0uTJk1VVVSUvrzOX3+l0ymazyeVymfbldDrlcDhMfWvXrlXXrl1NfUFBQQ2qa/LkybrhhhtqbDt06JDp508++UQPPvigRowY4e5777339NBDD2n27Nm68cYbVVVVpa+++uqcxwUAAACA80VgbWLjx4+XxWLR1q1b5evr6+7v2rWrxowZoyNHjujEiRPavn27BgwYIElyuVyaNm2aUlNTVVZWJh8fH5WVlSk7O1ujR4827T8oKEjt2rVrVE2nTp3SPffcoyeffFLr16/X8ePHTdvP3t+HH34oh8OhqKgoSVJVVZUee+wxzZ8/Xw8++KB7XJcuXRpVBwAAAAA0BrcEN6HCwkJlZmYqJSXFFFarWa1WxcTEKDQ0VE6nU5JUUlKinJwcjRw5UhEREdq8ebMkadOmTSovL6+xwno+Zs2apTZt2pjCZl0OHz6sf/zjH6axOTk5OnDggFq0aKFevXopJCREQ4cOrXeFtby8XMXFxaYGAAAAAI1BYG1Ce/fulWEYio2NrXecw+Fw3/67fv16xcTEKDg4WAkJCe5+l8ulyMhIhYeHm+bGxcXJz8/P1OqzYcMGLV26VK+88kqDzuH1119Xq1at9Ktf/crd991330k680ztE088oY8++kitW7dWYmKiCgsLa93PnDlzFBAQ4G42m61BxwcAAACAagTWJmQYRoPGJSYmauPGjaqsrJTL5VJiYqIkyW63mwJrbaurK1asUG5urqlJUn5+vinEzp49WyUlJbr33nv1yiuv6KqrrmpQbX/72990zz33yMfHx913+vRpSdIf/vAHjRgxQr1799arr74qi8Wid999t9b9TJ8+XUVFRe62f//+Bh0fAAAAAKrxDGsT6tSpkywWi3bt2lXvOIfDodLSUm3btk1Op1NTpkyRdCawjhkzRoWFhcrOzta4ceNqzLXZbIqOjq7RHxoa6g6vkhQYGKh9+/YpLy9PycnJ7v7q8Onl5aXdu3erY8eO7m3r16/X7t27tWLFCtO+Q0JCJJmfWfX29lZUVJTy8/NrPUdvb295e3vXex0AAAAAoD4E1iYUGBiowYMHKz09XY8++miN51iPHz8uq9Wqjh07ymazadWqVcrNzZXdbpckhYWFKSwsTAsXLlRFRUWjnl/18vKqEWSvvPJK7dixw9T3xBNPqKSkRC+88EKN23SXLl2q3r1765prrjH19+7dW97e3tq9e7euv/56SVJlZaXy8vJq3LIMAAAAAE2FwNrE0tPTFR8fr379+mnWrFnq0aOHqqqqtGbNGmVkZGjnzp2SzqyyLl68WNHR0Wrbtq17vt1u16JFi9wvZzrb0aNHVVBQYOqzWq2mW3ir+fj4qFu3bjXGSqrRX1xcrHfffVcLFy6ssR9/f3/99re/1Z/+9CfZbDaFh4e7v9E6cuTIBlwVAAAAAGg8nmFtYlFRUcrJyZHD4VBqaqq6deumgQMHKisrSxkZGe5xDodDJSUl7udXq9ntdpWUlNS5upqUlKSQkBBTW7ly5QXXvXz5chmGobvuuqvW7fPnz9eoUaN07733qm/fvvrXv/6ldevWqXXr1hd8bAAAAACojcVo6JuCgAtQXFysgIAAKWyG1KLmajD+j5E/s7lLAAAAAH4y1dmgqKhI/v7+9Y5lhRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAj8VkbXFRF30w954PVAAAAACCxwgoAAAAA8FAEVgAAAACARyKwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI/EW4JxUQV0mSe18GnuMn72jPyZzV0CAAAA8JNjhRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6JwAoAAAAA8EgE1mZSUFCgCRMmKCoqSt7e3rLZbEpOTlZWVpZGjRqlIUOGmMZnZmbKYrEoLS3N1J+WlqYOHTpIkvLy8mSxWGptW7ZsqbOWyspKzZo1Sx07dpSPj4+uueYaZWZm1jl+7ty5slgsmjhx4nmfPwAAAACcC99hbQZ5eXmKj4+X1WrV/Pnz1b17d1VWVmr16tVKSUnRpEmTNHnyZFVVVcnL68x/IqfTKZvNJpfLZdqX0+mUw+Ew9a1du1Zdu3Y19QUFBdVZzxNPPKG33npLr7zyimJjY7V69Wrdfvvt2rRpk3r16mUau23bNr388svq0aPHBVwBAAAAADg3Vlibwfjx42WxWLR161aNGDFCMTEx6tq1qx5//HFt2bJFDodDJ06c0Pbt291zXC6Xpk2bpuzsbJWVlUmSysrKlJ2dXSOwBgUFqV27dqZ2+eWX11nPm2++qRkzZmjYsGGKiorS7373Ow0bNkwLFy40jTtx4oTuuecevfLKK2rdunUTXhEAAAAAqInAepEVFhYqMzNTKSkp8vX1rbHdarUqJiZGoaGhcjqdkqSSkhLl5ORo5MiRioiI0ObNmyVJmzZtUnl5eY3A2ljl5eXy8fEx9bVs2VIbNmww9aWkpGj48OFKSkpq0D6Li4tNDQAAAAAag8B6ke3du1eGYSg2NrbecQ6Hw3377/r16xUTE6Pg4GAlJCS4+10ulyIjIxUeHm6aGxcXJz8/P1Orz+DBg/Xss89qz549On36tNasWaP3339fhw4dco9Zvny5cnJyNGfOnAad55w5cxQQEOBuNputQfMAAAAAoBqB9SIzDKNB4xITE7Vx40ZVVlbK5XIpMTFRkmS3202BtbbV1RUrVig3N9fUJCk/P98UYmfPni1JeuGFF9SpUyfFxsbqiiuu0COPPKLRo0erRYszvx779+/XY489prfffrvGSmxdpk+frqKiInfbv39/g+YBAAAAQDVeunSRderUSRaLRbt27ap3nMPhUGlpqbZt2yan06kpU6ZIOhNYx4wZo8LCQmVnZ2vcuHE15tpsNkVHR9foDw0NdYdXSQoMDJQkBQcHa+XKlSorK9PRo0cVGhqqadOmKSoqSpL0+eef68iRI7r22mvdc0+dOqV//vOfeumll1ReXq7LLrvMdCxvb295e3s37KIAAAAAQC0IrBdZYGCgBg8erPT0dD366KM1nmM9fvy4rFarOnbsKJvNplWrVik3N1d2u12SFBYWprCwMC1cuFAVFRWNen7Vy8ur1iBbzcfHR2FhYaqsrNR7772nO++8U5J00003aceOHaaxo0ePVmxsrKZOnVojrAIAAABAUyCwNoP09HTFx8erX79+mjVrlnr06KGqqiqtWbNGGRkZ2rlzp6Qzq6yLFy9WdHS02rZt655vt9u1aNEi98uZznb06FEVFBSY+qxWa52382ZnZ+vAgQPq2bOnDhw4oLS0NJ0+fVq///3vJUmtWrVSt27dTHN8fX0VFBRUox8AAAAAmgrPsDaDqKgo5eTkyOFwKDU1Vd26ddPAgQOVlZWljIwM9ziHw6GSkhL386vV7Ha7SkpK6lxdTUpKUkhIiKmtXLmyznrKysr0xBNPqEuXLrr99tsVFhamDRs2yGq1NsHZAgAAAMD5sRgNfQsQcAGKi4sVEBAghc2QWjTsxU2om5E/s7lLAAAAAM5LdTYoKiqSv79/vWNZYQUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIfNYGF1XRN1PP+WA1AAAAAEissAIAAAAAPBSBFQAAAADgkQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCPxlmBcVAFd5kktfJq7jEuGkT+zuUsAAAAAfjKssAIAAAAAPBKBFQAAAADgkQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCMRWAEAAAAAHonA+hMoKCjQhAkTFBUVJW9vb9lsNiUnJysrK0ujRo3SkCFDTOMzMzNlsViUlpZm6k9LS1OHDh0kSXl5ebJYLLW2LVu21FvP888/r86dO6tly5ay2WyaNGmSysrKTGMOHDig3/zmNwoKClLLli3VvXt3bd++XZJUWVmpqVOnqnv37vL19VVoaKjuu+8+HTx48AKvFAAAAADUje+wNrG8vDzFx8fLarVq/vz56t69uyorK7V69WqlpKRo0qRJmjx5sqqqquTldebyO51O2Ww2uVwu076cTqccDoepb+3aterataupLygoqM56li1bpmnTpulvf/ub4uLi9O233+qBBx6QxWLRs88+K0k6duyY4uPj5XA49Mknnyg4OFh79uxR69atJUknT55UTk6OZs6cqWuuuUbHjh3TY489pltuucUdagEAAACgqRFYm9j48eNlsVi0detW+fr6uvu7du2qMWPG6MiRIzpx4oS2b9+uAQMGSJJcLpemTZum1NRUlZWVycfHR2VlZcrOztbo0aNN+w8KClK7du0aXM+mTZsUHx+vu+++W5IUERGhu+66S9nZ2e4x8+bNk81m06uvvurui4yMdP85ICBAa9asMe33pZdeUr9+/ZSfn+9eBQYAAACApsQtwU2osLBQmZmZSklJMYXValarVTExMQoNDZXT6ZQklZSUKCcnRyNHjlRERIQ2b94s6UzQLC8vr7HC2lhxcXH6/PPPtXXrVknSd999p48//ljDhg1zj1m1apX69OmjkSNHqk2bNurVq5deeeWVevdbVFQki8Uiq9Va6/by8nIVFxebGgAAAAA0BoG1Ce3du1eGYSg2NrbecQ6Hw3377/r16xUTE6Pg4GAlJCS4+10ulyIjIxUeHm6aGxcXJz8/P1Orz913361Zs2bp+uuv1+WXX66OHTsqMTFRM2bMcI/57rvvlJGRoU6dOmn16tX63e9+p0cffVSvv/56rfssKyvT1KlTddddd8nf37/WMXPmzFFAQIC72Wy2eusEAAAAgLMRWJuQYRgNGpeYmKiNGzeqsrJSLpdLiYmJkiS73W4KrLWtrq5YsUK5ubmmJkn5+fmmEDt79mz3fmbPnq3FixcrJydH77//vv7xj3/oz3/+s3ufp0+f1rXXXqvZs2erV69eevjhh/XQQw9pyZIlNY5fWVmpO++8U4ZhKCMjo85znD59uoqKitxt//79Dbo2AAAAAFCNZ1ibUKdOnWSxWLRr1656xzkcDpWWlmrbtm1yOp2aMmWKpDOBdcyYMSosLFR2drbGjRtXY67NZlN0dHSN/tDQUHd4laTAwEBJ0syZM3Xvvfdq7NixkqTu3burtLRUDz/8sP7whz+oRYsWCgkJUZcuXUz7u/rqq/Xee++Z+qrD6r/+9S+tW7euztVVSfL29pa3t3e91wEAAAAA6sMKaxMKDAzU4MGDlZ6ertLS0hrbjx8/Lknq2LGjbDabVq1apdzcXNntdklSWFiYwsLCtHDhQlVUVDTq+VUvLy9FR0e7W3VgPXnypFq0MP9nvuyyyyT934pwfHy8du/ebRrz7bffmm5Hrg6re/bs0dq1a+t9MzEAAAAANAUCaxNLT0/XqVOn1K9fP7333nvas2ePdu7cqRdffFHXXXede5zD4dDixYsVHR2ttm3buvvtdrsWLVrkfjnT2Y4ePaqCggJTO/ubqj+WnJysjIwMLV++XN9//73WrFmjmTNnKjk52R1cJ02apC1btmj27Nnau3evli1bpr/85S9KSUmRdCas3nHHHdq+fbvefvttnTp1yn3sioqKprp0AAAAAGDCLcFNLCoqSjk5OXr66aeVmpqqQ4cOKTg4WL179zY98+lwOPTGG2+4n1+tZrfb9eqrr7o/Q3O2pKSkGn3vvPOORo0aVev4J554QhaLRU888YQOHDig4OBgJScn6+mnn3aP6du3rz744ANNnz5ds2bNUmRkpJ5//nndc889kqQDBw5o1apVkqSePXua9u90OmucAwAAAAA0BYvR0DcFAReguLhYAQEBUtgMqYVPc5dzyTDyZzZ3CQAAAECjVGeDoqKiet+LI3FLMAAAAADAQxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEfiLcG4qIq+mXrOB6sBAAAAQGKFFQAAAADgoQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCMRWAEAAAAAHom3BOOiCugyT2rh09xlXFKM/JnNXQIAAADwk2CFFQAAAADgkQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCMRWAEAAAAAHonACgAAAADwSATWZlJQUKAJEyYoKipK3t7estlsSk5OVlZWlkaNGqUhQ4aYxmdmZspisSgtLc3Un5aWpg4dOkiS8vLyZLFYam1btmyps5bExMRa5wwfPtw95sSJE3rkkUfUvn17tWzZUl26dNGSJUua7oIAAAAAwFn4DmszyMvLU3x8vKxWq+bPn6/u3bursrJSq1evVkpKiiZNmqTJkyerqqpKXl5n/hM5nU7ZbDa5XC7TvpxOpxwOh6lv7dq16tq1q6kvKCioznref/99VVRUuH8+evSorrnmGo0cOdLd9/jjj2vdunV66623FBERoU8//VTjx49XaGiobrnllvO9FAAAAABQJwJrMxg/frwsFou2bt0qX19fd3/Xrl01ZswYHTlyRCdOnND27ds1YMAASZLL5dK0adOUmpqqsrIy+fj4qKysTNnZ2Ro9erRp/0FBQWrXrl2D6wkMDDT9vHz5cl155ZWmwLpp0ybdf//9SkxMlCQ9/PDDevnll7V161YCKwAAAICfBLcEX2SFhYXKzMxUSkqKKaxWs1qtiomJUWhoqJxOpySppKREOTk5GjlypCIiIrR582ZJZ0JkeXl5jRXWC7V06VKNGjXKVF9cXJxWrVqlAwcOyDAMOZ1Offvttxo0aFCt+ygvL1dxcbGpAQAAAEBjEFgvsr1798owDMXGxtY7zuFwuG//Xb9+vWJiYhQcHKyEhAR3v8vlUmRkpMLDw01z4+Li5OfnZ2oNtXXrVn311VcaO3asqX/RokXq0qWL2rdvryuuuEJDhgxRenq6EhISat3PnDlzFBAQ4G42m63BNQAAAACARGC96AzDaNC4xMREbdy4UZWVlXK5XO5bce12uymw1ra6umLFCuXm5pqaJOXn55tC7OzZs2vMXbp0qbp3765+/fqZ+hctWqQtW7Zo1apV+vzzz7Vw4UKlpKRo7dq1tdY/ffp0FRUVudv+/fsbdN4AAAAAUI1nWC+yTp06yWKxaNeuXfWOczgcKi0t1bZt2+R0OjVlyhRJZwLrmDFjVFhYqOzsbI0bN67GXJvNpujo6Br9oaGh7vAq1Xx2tbS0VMuXL9esWbNM/T/88INmzJihDz74wP3m4B49eig3N1cLFixQUlJSjWN5e3vL29u73nMEAAAAgPqwwnqRBQYGavDgwUpPT1dpaWmN7cePH5ckdezYUTabTatWrVJubq7sdrskKSwsTGFhYVq4cKEqKioa9fyql5eXoqOj3e3swPruu++qvLxcv/nNb0z9lZWVqqysVIsW5l+Xyy67TKdPn27w8QEAAACgMQiszSA9PV2nTp1Sv3799N5772nPnj3auXOnXnzxRV133XXucQ6HQ4sXL1Z0dLTatm3r7rfb7Vq0aJH75UxnO3r0qAoKCkytrKzsnHUtXbpUt912W41P4Pj7+8tut2vKlClyuVz6/vvv9dprr+mNN97Q7bfffgFXAgAAAADqRmBtBlFRUcrJyZHD4VBqaqq6deumgQMHKisrSxkZGe5xDodDJSUl7udXq9ntdpWUlNS5upqUlKSQkBBTW7lyZb017d69Wxs2bNCDDz5Y6/bly5erb9++uueee9SlSxfNnTtXTz/9tH7729826twBAAAAoKEsRkPfAgRcgOLiYgUEBEhhM6QWPs1dziXFyJ/Z3CUAAAAADVadDYqKiuTv71/vWFZYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkbyauwD8shR9M/WcbwIDAAAAAIkVVgAAAACAhyKwAgAAAAA8EoEVAAAAAOCRCKwAAAAAAI/ES5dwUQV0mSe18GnuMnABjPyZzV0CAAAAfiFYYQUAAAAAeCQCKwAAAADAIxFYAQAAAAAeicAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisP4GCggJNmDBBUVFR8vb2ls1mU3JysrKysjRq1CgNGTLEND4zM1MWi0VpaWmm/rS0NHXo0EGSlJeXJ4vFUmvbsmVLg+pavny5LBaLbrvtNlP/+++/r0GDBikoKEgWi0W5ubm1zt+8ebNuvPFG+fr6yt/fXwkJCfrhhx8adGwAAAAAaCyv5i7gUpOXl6f4+HhZrVbNnz9f3bt3V2VlpVavXq2UlBRNmjRJkydPVlVVlby8zlx+p9Mpm80ml8tl2pfT6ZTD4TD1rV27Vl27djX1BQUFNaiuyZMn64YbbqixrbS0VNdff73uvPNOPfTQQ7XO37x5s4YMGaLp06dr0aJF8vLy0v/7f/9PLVrwbx4AAAAAfhoE1iY2fvx4WSwWbd26Vb6+vu7+rl27asyYMTpy5IhOnDih7du3a8CAAZIkl8uladOmKTU1VWVlZfLx8VFZWZmys7M1evRo0/6DgoLUrl27RtV06tQp3XPPPXryySe1fv16HT9+3LT93nvvlXQm1NZl0qRJevTRRzVt2jR3X+fOnescX15ervLycvfPxcXFjaoZAAAAAFgea0KFhYXKzMxUSkqKKaxWs1qtiomJUWhoqJxOpySppKREOTk5GjlypCIiIrR582ZJ0qZNm1ReXl5jhfV8zJo1S23atNGDDz54XvOPHDmi7OxstWnTRnFxcWrbtq3sdrs2bNhQ55w5c+YoICDA3Ww22/mWDwAAAOAXisDahPbu3SvDMBQbG1vvOIfD4b79d/369YqJiVFwcLASEhLc/S6XS5GRkQoPDzfNjYuLk5+fn6nVZ8OGDVq6dKleeeWV8z6v7777TtKZZ2ofeughZWZm6tprr9VNN92kPXv21Dpn+vTpKioqcrf9+/ef9/EBAAAA/DIRWJuQYRgNGpeYmKiNGzeqsrJSLpdLiYmJkiS73W4KrLWtrq5YsUK5ubmmJkn5+fmmEDt79myVlJTo3nvv1SuvvKKrrrrqvM/r9OnTkqRx48Zp9OjR6tWrl5577jl17txZf/vb32qd4+3tLX9/f1MDAAAAgMbgGdYm1KlTJ1ksFu3atavecQ6HQ6Wlpdq2bZucTqemTJki6UxgHTNmjAoLC5Wdna1x48bVmGuz2RQdHV2jPzQ01PR238DAQO3bt095eXlKTk5291eHTy8vL+3evVsdO3Y853mFhIRIkrp06WLqv/rqq5Wfn3/O+QAAAABwPgisTSgwMFCDBw9Wenq6Hn300RrPsR4/flxWq1UdO3aUzWbTqlWrlJubK7vdLkkKCwtTWFiYFi5cqIqKikY9v+rl5VUjyF555ZXasWOHqe+JJ55QSUmJXnjhhQY/VxoREaHQ0FDt3r3b1P/tt99q6NChDa4RAAAAABqDwNrE0tPTFR8fr379+mnWrFnq0aOHqqqqtGbNGmVkZGjnzp2SzqyyLl68WNHR0Wrbtq17vt1u16JFi9wvZzrb0aNHVVBQYOqzWq3y8fGpMdbHx0fdunWrMVaSqb+wsFD5+fk6ePCgJLmDabt27dSuXTtZLBZNmTJFf/rTn3TNNdeoZ8+eev3117Vr1y797//+73lcJQAAAAA4N55hbWJRUVHKycmRw+FQamqqunXrpoEDByorK0sZGRnucQ6HQyUlJe7nV6vZ7XaVlJTUubqalJSkkJAQU1u5cuUF1bxq1Sr16tVLw4cPlySNGjVKvXr10pIlS9xjJk6cqOnTp2vSpEm65pprlJWVpTVr1jTolmIAAAAAOB8Wo6FvCgIuQHFxsQICAqSwGVKLmqvB+Pkw8mc2dwkAAAD4GavOBkVFRed8OSsrrAAAAAAAj0RgBQAAAAB4JAIrAAAAAMAjEVgBAAAAAB6Jz9rgoir6Zuo5H6wGAAAAAIkVVgAAAACAhyKwAgAAAAA8UqMC69atW3Xq1Kk6t5eXl+t//ud/LrgoAAAAAAAaFVivu+46HT161P2zv7+/vvvuO/fPx48f11133dV01QEAAAAAfrEa9dIlwzDq/bmuPqBaQJd5Uguf5i4DPyEjf2ZzlwAAAIBLRJM/w2qxWJp6lwAAAACAXyBeugQAAAAA8EiN/g7rN998o4KCAklnbv/dtWuXTpw4IUn673//27TVAQAAAAB+sRodWG+66SbTc6o333yzpDO3AhuGwS3BAAAAAIAm0ajA+v333/9UdQAAAAAAYNKowBoeHv5T1QEAAAAAgEmjXroUHh6u0aNH64033tD+/ft/qpoAAAAAAGhcYB09erS+//57jRs3ThEREYqOjtZDDz2kd955x/0iJkgFBQWaMGGCoqKi5O3tLZvNpuTkZGVlZWnUqFEaMmSIaXxmZqYsFovS0tJM/WlpaerQoYMkKS8vTxaLpda2ZcuWOmt55ZVXdMMNN6h169Zq3bq1kpKStHXr1hrjdu7cqVtuuUUBAQHy9fVV3759lZ+fX2OcYRgaOnSoLBaLVq5c2fiLAwAAAAAN1KhbgqsDVXl5uTZu3KjPPvtMLpdLb775piorKxUTE6Mbb7xR6enpP0WtPwt5eXmKj4+X1WrV/Pnz1b17d1VWVmr16tVKSUnRpEmTNHnyZFVVVcnL68zldzqdstlscrlcpn05nU45HA5T39q1a9W1a1dTX1BQUJ31uFwu3XXXXYqLi5OPj4/mzZunQYMG6euvv1ZYWJgkad++fbr++uv14IMP6sknn5S/v7++/vpr+fj41Njf888/z4u1AAAAAFwUFuPHr/w9T8eOHdPChQu1aNEinThxQqdOnWqK2n6Whg0bpi+//FK7d++Wr6+vadvx48d15MgRde7cWZs3b9aAAQMkSf3799f999+v1NRUHTt2TD4+PiorK5PVatWSJUv0wAMPKC8vT5GRkfriiy/Us2fP867v1KlTat26tV566SXdd999kqRRo0bp8ssv15tvvlnv3NzcXN18883avn27QkJC9MEHH+i2225r0HGLi4sVEBAghc2QWtQMwrh0GPkzm7sEAAAAeLDqbFBUVCR/f/96xzbqluBqFRUV+uyzz/Tkk0/K4XAoLCxMK1as0B133KFXX331vIq+FBQWFiozM1MpKSk1wqokWa1WxcTEKDQ0VE6nU5JUUlKinJwcjRw5UhEREdq8ebMkadOmTSovL6+xwnqhTp48qcrKSgUGBkqSTp8+rX/84x+KiYnR4MGD1aZNG/Xv37/G7b4nT57U3XffrfT0dLVr1+6cxykvL1dxcbGpAQAAAEBjNCqwzpo1SzfeeKNat26t3/3udzp06JAefvhh7d27V3v27NHSpUvdq3a/RHv37pVhGIqNja13nMPhcN/+u379esXExCg4OFgJCQnufpfLpcjIyBpvZo6Li5Ofn5+pNcbUqVMVGhqqpKQkSdKRI0d04sQJzZ07V0OGDNGnn36q22+/Xb/61a/02WefuedNmjRJcXFxuvXWWxt0nDlz5iggIMDdbDZbo+oEAAAAgEY/w9qhQwctXLhQI0eOrPfZyV+iht5dnZiYqIkTJ6qyslIul0uJiYmSJLvdrpdfflnSmcBa2+rqihUrdPXVV9foz8/PV5cuXdw/z5gxQzNmzDCNmTt3rpYvXy6Xy+V+PvX06dOSpFtvvVWTJk2SJPXs2VObNm3SkiVLZLfbtWrVKq1bt05ffPFFg85PkqZPn67HH3/c/XNxcTGhFQAAAECjNCqwfvLJJ3I6nXrttdf02GOPKSYmRomJibLb7bLb7QoODv6p6vxZ6NSpkywWi3bt2lXvOIfDodLSUm3btk1Op1NTpkyRdCawjhkzRoWFhcrOzta4ceNqzLXZbIqOjq7RHxoaqtzcXPfP1bf8VluwYIHmzp2rtWvXqkePHu7+q666Sl5eXqawK0lXX321NmzYIElat26d9u3bJ6vVahozYsQI3XDDDTVeFiVJ3t7e8vb2rvc6AAAAAEB9GhVYBw8erMGDB0s68+zl+vXr9dlnn+mZZ57RPffco+joaDkcDr300ks/SbGeLjAwUIMHD1Z6eroeffTRWl+6ZLVa1bFjR9lsNq1atUq5ubmy2+2SpLCwMIWFhWnhwoWqqKho1POrXl5etQZZSXrmmWf09NNPa/Xq1erTp49p2xVXXKG+fftq9+7dpv5vv/3WfTvytGnTNHbsWNP27t2767nnnlNycnKDawQAAACAxmhUYP2xVq1aadiwYRo8eLC2bt2qVatWafHixcrIyPjFBlZJSk9PV3x8vPr166dZs2apR48eqqqq0po1a5SRkaGdO3dKOrPKunjxYkVHR6tt27bu+Xa7XYsWLXK/nOlsR48erfHNW6vVWusnaCRp3rx5+uMf/6hly5YpIiLCPffHz79OmTJFv/71r5WQkCCHw6HMzEz9/e9/d6+ctmvXrtYXLXXo0EGRkZGNv0gAAAAA0ACNfkvw6dOntXXrVs2bN09Dhw5V69atdf3112vZsmW6/fbb9be//e2nqPNnIyoqSjk5OXI4HEpNTVW3bt00cOBAZWVlKSMjwz3O4XCopKTE/fxqNbvdrpKSkjpXV5OSkhQSEmJqZ7/R98cyMjJUUVGhO+64wzRnwYIF7jG33367lixZomeeeUbdu3fXX//6V7333nu6/vrrL+haAAAAAMCFaNR3WIcOHapNmzappKREoaGhcjgcSkxMlMPhUFRU1E9ZJ37m+A7rLwffYQUAAEB9GvMd1kbdEmy1WrVgwQIlJiaqU6dOF1QkAAAAAAD1adQtwQ899JCee+450zOX1YqKitS1a1etX7++yYoDAAAAAPxyNSqwvvDCC3r44YdrXbYNCAjQuHHj9OyzzzZZcQAAAACAX65GBdYvvvjC/Vmb2gwaNEiff/75BRcFAAAAAECjnmE9cuSILr/88rp35uWl//znPxdcFC5dRd9MPeeD1QAAAAAgNXKFNSwsTF999VWd27/88kuFhIRccFEAAAAAADQqsA4bNkwzZ85UWVlZjW0//PCD/vSnP+nmm29usuIAAAAAAL9cjfoO6+HDh3Xttdfqsssu0yOPPKLOnTtLknbt2qX09HSdOnVKOTk5tb5FGL9sjfnWEgAAAIBL10/2Hda2bdtq06ZN+t3vfqfp06erOutaLBYNHjxY6enphFUAAAAAQJNoVGCVpPDwcH388cc6duyY9u7dK8Mw1KlTJ7Vu3fqnqA8AAAAA8AvV6MBarXXr1urbt29T1oJfgIAu86QWPs1dBn6mjPyZzV0CAAAALqJGvXQJAAAAAICLhcAKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisAAAAAACPRGBtJgUFBZowYYKioqLk7e0tm82m5ORkZWVladSoURoyZIhpfGZmpiwWi9LS0kz9aWlp6tChgyQpLy9PFoul1rZly5Y6a3nllVd0ww03qHXr1mrdurWSkpK0detW9/bKykpNnTpV3bt3l6+vr0JDQ3Xffffp4MGDTXdBAAAAAOAsBNZmkJeXp969e2vdunWaP3++duzYoczMTDkcDqWkpMjhcGjjxo2qqqpyz3E6nbLZbHK5XKZ9OZ1OORwOU9/atWt16NAhU+vdu3ed9bhcLt11111yOp3avHmzbDabBg0apAMHDkiSTp48qZycHM2cOVM5OTl6//33tXv3bt1yyy1Nd1EAAAAA4CwWwzCM5i7il2bYsGH68ssvtXv3bvn6+pq2HT9+XEeOHFHnzp21efNmDRgwQJLUv39/3X///UpNTdWxY8fk4+OjsrIyWa1WLVmyRA888IDy8vIUGRmpL774Qj179jzv+k6dOqXWrVvrpZde0n333VfrmG3btqlfv37617/+5V7hrU9xcbECAgKksBlSC5/zrg2/bEb+zOYuAQAAABeoOhsUFRXJ39+/3rGssF5khYWFyszMVEpKSo2wKklWq1UxMTEKDQ2V0+mUJJWUlCgnJ0cjR45URESENm/eLEnatGmTysvLa6ywXqiTJ0+qsrJSgYGBdY4pKiqSxWKR1WqtdXt5ebmKi4tNDQAAAAAag8B6ke3du1eGYSg2NrbecQ6Hw3377/r16xUTE6Pg4GAlJCS4+10ulyIjIxUeHm6aGxcXJz8/P1NrjKlTpyo0NFRJSUm1bi8rK9PUqVN111131fkvInPmzFFAQIC72Wy2RtUAAAAAAATWi6yhd2AnJiZq48aNqqyslMvlUmJioiTJbrebAmttq6srVqxQbm6uqUlSfn6+KcTOnj27xty5c+dq+fLl+uCDD+TjU/PW3crKSt15550yDEMZGRl11j99+nQVFRW52/79+xt03gAAAABQzau5C/il6dSpkywWi3bt2lXvOIfDodLSUm3btk1Op1NTpkyRdCawjhkzRoWFhcrOzta4ceNqzLXZbIqOjq7RHxoa6g6vkmrc8rtgwQLNnTtXa9euVY8ePWrMrw6r//rXv7Ru3bp67zf39vaWt7d3vecIAAAAAPVhhfUiCwwM1ODBg5Wenq7S0tIa248fPy5J6tixo2w2m1atWqXc3FzZ7XZJUlhYmMLCwrRw4UJVVFQ06vlVLy8vRUdHu9uPA+szzzyjP//5z8rMzFSfPn1qzK0Oq3v27NHatWsVFBTUyDMHAAAAgMYhsDaD9PR0nTp1Sv369dN7772nPXv2aOfOnXrxxRd13XXXucc5HA4tXrxY0dHRatu2rbvfbrdr0aJF7pczne3o0aMqKCgwtbKysjrrmTdvnmbOnKm//e1vioiIcM85ceKEpDNh9Y477tD27dv19ttv69SpU+4xFRUVTXhlAAAAAOD/EFibQVRUlHJycuRwOJSamqpu3bpp4MCBysrKMj0X6nA4VFJS4n5+tZrdbldJSUmdq6tJSUkKCQkxtZUrV9ZZT0ZGhioqKnTHHXeY5ixYsECSdODAAa1atUr//ve/1bNnT9OYTZs2XfD1AAAAAIDa8B1WXBR8hxVNge+wAgAA/PzxHVYAAAAAwM8egRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JK/mLgC/LEXfTD3ng9UAAAAAILHCCgAAAADwUARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrAAAAAAAj8RbgnFRBXSZJ7Xwae4ycAkw8mc2dwkAAAD4ibHCCgAAAADwSARWAAAAAIBHIrACAAAAADwSgRUAAAAA4JEIrAAAAAAAj0RgBQAAAAB4JALrT6CgoEATJkxQVFSUvL29ZbPZlJycrKysLI0aNUpDhgwxjc/MzJTFYlFaWpqpPy0tTR06dJAk5eXlyWKx1Nq2bNlSZy1ff/21RowYoYiICFksFj3//PM1xsyZM0d9+/ZVq1at1KZNG912223avXu3aUxiYmKN4/72t789vwsEAAAAAA1AYG1ieXl56t27t9atW6f58+drx44dyszMlMPhUEpKihwOhzZu3Kiqqir3HKfTKZvNJpfLZdqX0+mUw+Ew9a1du1aHDh0ytd69e9dZz8mTJxUVFaW5c+eqXbt2tY757LPPlJKSoi1btmjNmjWqrKzUoEGDVFpaahr30EMPmY77zDPPNPLqAAAAAEDDeTV3AZea8ePHy2KxaOvWrfL19XX3d+3aVWPGjNGRI0d04sQJbd++XQMGDJAkuVwuTZs2TampqSorK5OPj4/KysqUnZ2t0aNHm/YfFBRUZ/CsTd++fdW3b19J0rRp02odk5mZafr5tddeU5s2bfT5558rISHB3X/llVc26tgAAAAAcCFYYW1ChYWFyszMVEpKiimsVrNarYqJiVFoaKicTqckqaSkRDk5ORo5cqQiIiK0efNmSdKmTZtUXl5eY4X1YigqKpIkBQYGmvrffvttXXXVVerWrZumT5+ukydP1rmP8vJyFRcXmxoAAAAANAaBtQnt3btXhmEoNja23nEOh8N9++/69esVExOj4OBgJSQkuPtdLpciIyMVHh5umhsXFyc/Pz9Ta0qnT5/WxIkTFR8fr27durn77777br311ltyOp2aPn263nzzTf3mN7+pcz9z5sxRQECAu9lstiatEwAAAMClj1uCm5BhGA0al5iYqIkTJ6qyslIul0uJiYmSJLvdrpdfflnSmcBa2+rqihUrdPXVV9foz8/PV5cuXdw/z5gxQzNmzGj0OaSkpOirr77Shg0bTP0PP/yw+8/du3dXSEiIbrrpJu3bt08dO3assZ/p06fr8ccfd/9cXFxMaAUAAADQKATWJtSpUydZLBbt2rWr3nEOh0OlpaXatm2bnE6npkyZIulMYB0zZowKCwuVnZ2tcePG1Zhrs9kUHR1doz80NFS5ubnun8++nbchHnnkEX300Uf65z//qfbt29c7tn///pLOrCrXFli9vb3l7e3d6BoAAAAAoBq3BDehwMBADR48WOnp6TXesCtJx48flyR17NhRNptNq1atUm5urux2uyQpLCxMYWFhWrhwoSoqKhr1/KqXl5eio6PdrTGB1TAMPfLII/rggw+0bt06RUZGnnNOdTgOCQlp8HEAAAAAoDFYYW1i6enpio+PV79+/TRr1iz16NFDVVVVWrNmjTIyMrRz505JZ1ZZFy9erOjoaLVt29Y93263a9GiRe6XM53t6NGjKigoMPVZrVb5+PjUWk9FRYW++eYb958PHDig3Nxc+fn5uVdqU1JStGzZMn344Ydq1aqVe/8BAQFq2bKl9u3bp2XLlmnYsGEKCgrSl19+qUmTJikhIUE9evS48IsGAAAAALVghbWJRUVFKScnRw6HQ6mpqerWrZsGDhyorKwsZWRkuMc5HA6VlJS4n1+tZrfbVVJSUufqalJSkkJCQkxt5cqVddZz8OBB9erVS7169dKhQ4e0YMEC9erVS2PHjnWPycjIUFFRkRITE037XbFihSTpiiuu0Nq1azVo0CDFxsYqNTVVI0aM0N///vfzv1AAAAAAcA4Wo6FvCgIuQHFxsQICAqSwGVKL2leDgcYw8mc2dwkAAAA4D9XZoKioSP7+/vWOZYUVAAAAAOCRCKwAAAAAAI9EYAUAAAAAeCQCKwAAAADAI/FZG1xURd9MPeeD1QAAAAAgscIKAAAAAPBQBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisAAAAAACPxFuCcVEFdJkntfBp7jJwCTHyZzZ3CQAAAPiJsMIKAAAAAPBIBFYAAAAAgEcisAIAAAAAPBKBFQAAAADgkQisAAAAAACPRGAFAAAAAHgkAisAAAAAwCMRWH8CBQUFmjBhgqKiouTt7S2bzabk5GRlZWVp1KhRGjJkiGl8ZmamLBaL0tLSTP1paWnq0KGDJCkvL08Wi6XWtmXLljpref/999WnTx9ZrVb5+vqqZ8+eevPNN01jHnjggRr7/HGNeXl5evDBBxUZGamWLVuqY8eO+tOf/qSKiooLvFIAAAAAUDev5i7gUpOXl6f4+HhZrVbNnz9f3bt3V2VlpVavXq2UlBRNmjRJkydPVlVVlby8zlx+p9Mpm80ml8tl2pfT6ZTD4TD1rV27Vl27djX1BQUF1VlPYGCg/vCHPyg2NlZXXHGFPvroI40ePVpt2rTR4MGD3eOGDBmiV1991f2zt7e3+8+7du3S6dOn9fLLLys6OlpfffWVHnroIZWWlmrBggWNvkYAAAAA0BAE1iY2fvx4WSwWbd26Vb6+vu7+rl27asyYMTpy5IhOnDih7du3a8CAAZIkl8uladOmKTU1VWVlZfLx8VFZWZmys7M1evRo0/6DgoLUrl27BteTmJho+vmxxx7T66+/rg0bNpgCq7e3d537HTJkiGnFNSoqSrt371ZGRkadgbW8vFzl5eXun4uLixtcMwAAAABI3BLcpAoLC5WZmamUlBRTWK1mtVoVExOj0NBQOZ1OSVJJSYlycnI0cuRIRUREaPPmzZKkTZs2qby8vMYK64UwDENZWVnavXu3EhISTNtcLpfatGmjzp0763e/+52OHj1a776KiooUGBhY5/Y5c+YoICDA3Ww2W5OcAwAAAIBfDgJrE9q7d68Mw1BsbGy94xwOh/v23/Xr1ysmJkbBwcFKSEhw97tcLkVGRio8PNw0Ny4uTn5+fqZ2LkVFRfLz89MVV1yh4cOHa9GiRRo4cKB7+5AhQ/TGG28oKytL8+bN02effaahQ4fq1KlTdZ7nokWLNG7cuDqPOX36dBUVFbnb/v37z1knAAAAAPwYtwQ3IcMwGjQuMTFREydOVGVlpVwul/u2Xbvdrpdffln6/+3de1xVVeL///fBC4gIiKJcPCIIiBpamXcTzoSC9bWsxsSc0rCs0ezipdSyzMpLZp/K0BrzUk3jJW/5bQpHCTINUVOmTDQxGdQBna8ot+Sm+/eHP/enIxdRCc7o6/l4rMdD1l57nbX38qDvx9oXXQisla2urlq1Sh07dqxQn5WVpU6dOpk/T5s2TdOmTZMkNWvWTGlpaSosLFRiYqImTJigoKAg83NjY2PN/cLDw9WlSxe1b99eycnJuuOOO+w+5/jx44qJidHQoUP12GOPVXmMzs7OdvfBAgAAAMCVIrDWopCQEFksFh04cKDadjabTUVFRdq1a5eSkpI0efJkSRcCa1xcnHJzc5WamlrpCqbValVwcHCFej8/P6WlpZk///ZyXScnJ3Ofm2++Wenp6Zo9e3aF+1svCgoKUsuWLZWRkWEXWP/973/LZrOpT58++stf/lLtMQIAAADAteKS4Frk5eWl6OhoxcfHq6ioqML2M2fOSJLat28vq9WqjRs3Ki0tTREREZIkf39/+fv7a/78+SotLb2i+1cbNmyo4OBgs1R3f+n58+ftHoh0qWPHjunUqVPy9fU1644fP67IyEh169ZNy5Ytk5MTf3UAAAAA/L5YYa1l8fHx6tu3r3r06KGZM2eqS5cuKi8v1+bNm7Vo0SKlp6dLurDKunDhQgUHB6t169bm/hEREVqwYIH5cKZLnTp1Sjk5OXZ1np6ecnFxqXQ8s2fP1m233ab27durpKREX375pT755BMtWrRIklRYWKhXXnlF999/v3x8fHT48GE999xzCg4ONp8ifDGsBgQE6M0339R//vMfs/8reWIxAAAAAFwJAmstCwoK0p49e/T6669r4sSJys7Olre3t7p162aGROlCYP34448rXJYbERGhZcuW6cEHH6y0/6ioqAp1K1assLsP9beKioo0duxYHTt2TE2aNFFYWJj++te/atiwYZKkBg0a6IcfftBHH32kM2fOyM/PTwMHDtSrr75q3oO6efNmZWRkKCMjQ23atLHrv6b37QIAAADAlbIYJA7Ugfz8fHl4eEj+0ySnyleDgathZE2v7yEAAADgClzMBnl5eXJ3d6+2LTciAgAAAAAcEoEVAAAAAOCQCKwAAAAAAIdEYAUAAAAAOCSeEow6lbf/+cveWA0AAAAAEiusAAAAAAAHRWAFAAAAADgkAisAAAAAwCERWAEAAAAADomHLqFOeXSaKzm51PcwgFpnZE2v7yEAAABcd1hhBQAAAAA4JAIrAAAAAMAhEVgBAAAAAA6JwAoAAAAAcEgEVgAAAACAQyKwAgAAAAAcEoEVAAAAAOCQCKy/g5ycHI0fP15BQUFydnaW1WrV4MGDlZiYqNjYWMXExNi1T0hIkMVi0YwZM+zqZ8yYobZt20qSMjMzZbFYKi07duyociyLFy/W7bffrubNm6t58+aKiorSzp077doYhqGXXnpJvr6+atKkiaKionTo0CG7Nrm5uRoxYoTc3d3l6emp0aNHq7Cw8BrOEgAAAABUj8BayzIzM9WtWzd9/fXXmjdvnn788UclJCTIZrNp3Lhxstls2r59u8rLy819kpKSZLValZycbNdXUlKSbDabXd2WLVuUnZ1tV7p161bleJKTkzV8+HAlJSUpJSVFVqtVAwcO1PHjx802b7zxht599129//77Sk1NVdOmTRUdHa3i4mKzzYgRI/TTTz9p8+bN+uKLL7R161aNGTPmGs8WAAAAAFTNYhiGUd+DuJ7ceeed+uGHH3Tw4EE1bdrUbtuZM2d08uRJdejQQSkpKerVq5ckqWfPnho5cqQmTpyo06dPy8XFRcXFxfL09NT777+vUaNGKTMzU4GBgdq7d69uvvnmqx7fuXPn1Lx5c7333nt6+OGHZRiG/Pz8NHHiRE2aNEmSlJeXp9atW2v58uWKjY1Venq6OnXqpF27dum2226TdGFV+M4779SxY8fk5+d32c/Nz8+Xh4eH5D9NcnK56vEDjsrIml7fQwAAAPivcDEb5OXlyd3dvdq2rLDWotzcXCUkJGjcuHEVwqokeXp6KjQ0VH5+fkpKSpIkFRQUaM+ePRo6dKjatWunlJQUSdJ3332nkpKSCius1+rXX39VWVmZvLy8JElHjhxRTk6OoqKizDYeHh7q2bOnOZaUlBR5enqaYVWSoqKi5OTkpNTU1Eo/p6SkRPn5+XYFAAAAAK4EgbUWZWRkyDAMhYWFVdvOZrOZl/9+++23Cg0Nlbe3t/r372/WJycnKzAwUAEBAXb79unTR25ubnblSjz//PPy8/MzA2pOTo4kqXXr1nbtWrdubW7LyclRq1at7LY3bNhQXl5eZptLzZ49Wx4eHmaxWq1XNE4AAAAAILDWoppeXR0ZGant27errKxMycnJioyMlCRFRETYBdbKVldXrVqltLQ0uyJJWVlZdiF21qxZFfadM2eOVq5cqfXr18vF5fe9LHfq1KnKy8szy9GjR3/XzwMAAABw/WlY3wO4noSEhMhisejAgQPVtrPZbCoqKtKuXbuUlJSkyZMnS7oQWOPi4pSbm6vU1FQ9/vjjFfa1Wq0KDg6uUO/n52eGV0nmJb8Xvfnmm5ozZ462bNmiLl26mPU+Pj6SpBMnTsjX19esP3HihHmvrI+Pj06ePGnXX3l5uXJzc839L+Xs7CxnZ+dqzgIAAAAAVI8V1lrk5eWl6OhoxcfHq6ioqML2M2fOSJLat28vq9WqjRs3Ki0tTREREZIkf39/+fv7a/78+SotLb2i+1cbNmyo4OBgs/w2sL7xxht69dVXlZCQYHcfqiQFBgbKx8dHiYmJZl1+fr5SU1PVu3dvSVLv3r115swZff/992abr7/+WufPn1fPnj1rPEYAAAAAuBIE1loWHx+vc+fOqUePHlq7dq0OHTqk9PR0vfvuu2YAlC6ssi5cuFDBwcF2949GRERowYIF5sOZLnXq1Cnl5OTYld++fuZSc+fO1fTp07V06VK1a9fO3OfiO1QtFoueeeYZvfbaa9q4caN+/PFHPfzww/Lz89OQIUMkSR07dlRMTIwee+wx7dy5U9u3b9eTTz6p2NjYGj0hGAAAAACuBoG1lgUFBWnPnj2y2WyaOHGibrrpJg0YMECJiYlatGiR2c5ms6mgoMC8f/WiiIgIFRQUVLm6GhUVJV9fX7uyYcOGKsezaNEilZaW6o9//KPdPm+++abZ5rnnntP48eM1ZswYde/eXYWFhUpISLC7z/XTTz9VWFiY7rjjDt15553q16+f/vKXv1zdSQIAAACAGuA9rKgTvIcV1zvewwoAAFAzvIcVAAAAAPBfj8AKAAAAAHBIBFYAAAAAgEMisAIAAAAAHFLD+h4Abix5+5+/7I3VAAAAACCxwgoAAAAAcFAEVgAAAACAQyKwAgAAAAAcEoEVAAAAAOCQCKwAAAAAAIfEU4JRpzw6zZWcXOp7GIDDMbKm1/cQAAAAHA4rrAAAAAAAh0RgBQAAAAA4JAIrAAAAAMAhEVgBAAAAAA6JwAoAAAAAcEgEVgAAAACAQyKw/g5ycnI0fvx4BQUFydnZWVarVYMHD1ZiYqJiY2MVExNj1z4hIUEWi0UzZsywq58xY4batm0rScrMzJTFYqm07Nixo8qxREZGVrrPXXfdZbYpLCzUk08+qTZt2qhJkybq1KmT3n//fXN7dZ/92Wef1cIZAwAAAICKeA9rLcvMzFTfvn3l6empefPmKTw8XGVlZdq0aZPGjRunZ599VpMmTVJ5ebkaNrxw+pOSkmS1WpWcnGzXV1JSkmw2m13dli1b1LlzZ7u6Fi1aVDmedevWqbS01Pz51KlT6tq1q4YOHWrWTZgwQV9//bX++te/ql27dvrHP/6hsWPHys/PT3fffbesVquys7Pt+v3LX/6iefPmadCgQVd0fgAAAACgpgistWzs2LGyWCzauXOnmjZtatZ37txZcXFxOnnypAoLC7V792716tVLkpScnKwpU6Zo4sSJKi4ulouLi4qLi5WamqpHHnnErv8WLVrIx8enxuPx8vKy+3nlypVydXW1C6zfffedRo4cqcjISEnSmDFj9MEHH2jnzp26++671aBBgwqfuX79ej3wwANyc3Or8VgAAAAA4EpwSXAtys3NVUJCgsaNG2cXVi/y9PRUaGio/Pz8lJSUJEkqKCjQnj17NHToULVr104pKSmSLoTIkpKSCius12rJkiWKjY21G1+fPn20ceNGHT9+XIZhKCkpST///LMGDhxYaR/ff/+90tLSNHr06Co/p6SkRPn5+XYFAAAAAK4EgbUWZWRkyDAMhYWFVdvOZrOZl/9+++23Cg0Nlbe3t/r372/WJycnKzAwUAEBAXb79unTR25ubnalpnbu3Kl9+/bp0UcftatfsGCBOnXqpDZt2qhx48aKiYlRfHy8+vfvX2k/S5YsUceOHdWnT58qP2v27Nny8PAwi9VqrfE4AQAAAEAisNYqwzBq1C4yMlLbt29XWVmZkpOTzUtxIyIi7AJrZaurq1atUlpaml2RpKysLLsQO2vWrAr7LlmyROHh4erRo4dd/YIFC7Rjxw5t3LhR33//vebPn69x48Zpy5YtFfo4e/as/va3v1W7uipJU6dOVV5enlmOHj1agzMDAAAAAP+Le1hrUUhIiCwWiw4cOFBtO5vNpqKiIu3atUtJSUmaPHmypAuBNS4uTrm5uUpNTdXjjz9eYV+r1arg4OAK9X5+fmZ4lSreu1pUVKSVK1dq5syZdvVnz57VtGnTtH79evPJwV26dFFaWprefPNNRUVF2bVfs2aNfv31Vz388MPVHqOzs7OcnZ2rbQMAAAAA1WGFtRZ5eXkpOjpa8fHxKioqqrD9zJkzkqT27dvLarVq48aNSktLU0REhCTJ399f/v7+mj9/vkpLS6/o/tWGDRsqODjYLJcG1s8++0wlJSX605/+ZFdfVlamsrIyOTnZ/1Vo0KCBzp8/X+FzlixZorvvvlve3t41HhsAAAAAXA1WWGtZfHy8+vbtqx49emjmzJnq0qWLysvLtXnzZi1atEjp6emSLqyyLly4UMHBwWrdurW5f0REhBYsWGA+nOlSp06dUk5Ojl2dp6enXFxcqh3XkiVLNGTIkAqvwHF3d1dERIQmT56sJk2aKCAgQN98840+/vhjvfXWW3ZtMzIytHXrVn355ZdXdE4AAAAA4GqwwlrLgoKCtGfPHtlsNk2cOFE33XSTBgwYoMTERC1atMhsZ7PZVFBQYN6/elFERIQKCgqqXF2NioqSr6+vXdmwYUO1Yzp48KC2bdtW5X2nK1euVPfu3TVixAh16tRJc+bM0euvv64nnnjCrt3SpUvVpk2bKp8eDAAAAAC1yWLU9ElBwDXIz8+Xh4eH5D9Ncqp+NRi4ERlZ0+t7CAAAAHXiYjbIy8uTu7t7tW1ZYQUAAAAAOCQCKwAAAADAIRFYAQAAAAAOicAKAAAAAHBIvNYGdSpv//OXvbEaAAAAACRWWAEAAAAADorACgAAAABwSARWAAAAAIBDIrACAAAAABwSgRUAAAAA4JB4SjDqlEenuZKTS30PA8AVMrKm1/cQAADADYgVVgAAAACAQyKwAgAAAAAcEoEVAAAAAOCQCKwAAAAAAIdEYAUAAAAAOCQCKwAAAADAIRFY60lOTo7Gjx+voKAgOTs7y2q1avDgwUpMTFRsbKxiYmLs2ickJMhisWjGjBl29TNmzFDbtm0lSZmZmbJYLJWWHTt2VDmWxYsX6/bbb1fz5s3VvHlzRUVFaefOnXZtDMPQSy+9JF9fXzVp0kRRUVE6dOhQ7ZwMAAAAAKgEgbUeZGZmqlu3bvr66681b948/fjjj0pISJDNZtO4ceNks9m0fft2lZeXm/skJSXJarUqOTnZrq+kpCTZbDa7ui1btig7O9uudOvWrcrxJCcna/jw4UpKSlJKSoqsVqsGDhyo48ePm23eeOMNvfvuu3r//feVmpqqpk2bKjo6WsXFxbVzUgAAAADgEhbDMIz6HsSN5s4779QPP/yggwcPqmnTpnbbzpw5o5MnT6pDhw5KSUlRr169JEk9e/bUyJEjNXHiRJ0+fVouLi4qLi6Wp6en3n//fY0aNUqZmZkKDAzU3r17dfPNN1/1+M6dO6fmzZvrvffe08MPPyzDMOTn56eJEydq0qRJkqS8vDy1bt1ay5cvV2xs7GX7zM/Pl4eHh+Q/TXJyueqxAagfRtb0+h4CAAC4TlzMBnl5eXJ3d6+2LSusdSw3N1cJCQkaN25chbAqSZ6engoNDZWfn5+SkpIkSQUFBdqzZ4+GDh2qdu3aKSUlRZL03XffqaSkpMIK67X69ddfVVZWJi8vL0nSkSNHlJOTo6ioKLONh4eHevbsaY7lUiUlJcrPz7crAAAAAHAlCKx1LCMjQ4ZhKCwsrNp2NpvNvPz322+/VWhoqLy9vdW/f3+zPjk5WYGBgQoICLDbt0+fPnJzc7MrV+L555+Xn5+fGVBzcnIkSa1bt7Zr17p1a3PbpWbPni0PDw+zWK3WKxoDAAAAABBY61hNr8COjIzU9u3bVVZWpuTkZEVGRkqSIiIi7AJrZaurq1atUlpaml2RpKysLLsQO2vWrAr7zpkzRytXrtT69evl4nL1l+5OnTpVeXl5Zjl69OhV9wUAAADgxtSwvgdwowkJCZHFYtGBAweqbWez2VRUVKRdu3YpKSlJkydPlnQhsMbFxSk3N1epqal6/PHHK+xrtVoVHBxcod7Pz88Mr5LMS34vevPNNzVnzhxt2bJFXbp0Met9fHwkSSdOnJCvr69Zf+LEiSrvlXV2dpazs3O1xwgAAAAA1WGFtY55eXkpOjpa8fHxKioqqrD9zJkzkqT27dvLarVq48aNSktLU0REhCTJ399f/v7+mj9/vkpLS6/o/tWGDRsqODjYLL8NrG+88YZeffVVJSQk6LbbbrPbLzAwUD4+PkpMTDTr8vPzlZqaqt69e1/J4QMAAABAjRFY60F8fLzOnTunHj16aO3atTp06JDS09P17rvv2gVAm82mhQsXKjg42O7+0YiICC1YsMB8ONOlTp06pZycHLtS3etn5s6dq+nTp2vp0qVq166duU9hYaEkyWKx6JlnntFrr72mjRs36scff9TDDz8sPz8/DRkypPZODAAAAAD8BoG1HgQFBWnPnj2y2WyaOHGibrrpJg0YMECJiYlatGiR2c5ms6mgoMC8f/WiiIgIFRQUVLm6GhUVJV9fX7uyYcOGKsezaNEilZaW6o9//KPdPm+++abZ5rnnntP48eM1ZswYde/eXYWFhUpISLim+1wBAAAAoDq8hxV1gvewAv/deA8rAACoLbyHFQAAAADwX4/ACgAAAABwSARWAAAAAIBDIrACAAAAABxSw/oeAG4sefufv+yN1QAAAAAgscIKAAAAAHBQBFYAAAAAgEMisAIAAAAAHBKBFQAAAADgkAisAAAAAACHxFOCUac8Os2VnFzqexgAHJSRNb2+hwAAABwIK6wAAAAAAIdEYAUAAAAAOCQCKwAAAADAIRFYAQAAAAAOicAKAAAAAHBIBFYAAAAAgEMisP4OcnJyNH78eAUFBcnZ2VlWq1WDBw9WYmKiYmNjFRMTY9c+ISFBFotFM2bMsKufMWOG2rZtK0nKzMyUxWKptOzYsaPKsfz000+6//771a5dO1ksFr399tsV2mzdulWDBw+Wn5+fLBaLNmzYUKHNiRMnNGrUKPn5+cnV1VUxMTE6dOjQFZ8bAAAAAKgpAmsty8zMVLdu3fT1119r3rx5+vHHH5WQkCCbzaZx48bJZrNp+/btKi8vN/dJSkqS1WpVcnKyXV9JSUmy2Wx2dVu2bFF2drZd6datW5Xj+fXXXxUUFKQ5c+bIx8en0jZFRUXq2rWr4uPjK91uGIaGDBmiX375RZ9//rn27t2rgIAARUVFqaioqIZnBgAAAACuTMP6HsD1ZuzYsbJYLNq5c6eaNm1q1nfu3FlxcXE6efKkCgsLtXv3bvXq1UuSlJycrClTpmjixIkqLi6Wi4uLiouLlZqaqkceecSu/xYtWlQZPCvTvXt3de/eXZI0ZcqUStsMGjRIgwYNqrKPQ4cOaceOHdq3b586d+4sSVq0aJF8fHy0YsUKPfroozUeDwAAAADUFCustSg3N1cJCQkaN26cXVi9yNPTU6GhofLz81NSUpIkqaCgQHv27NHQoUPVrl07paSkSJK+++47lZSUVFhhrQ8lJSWSJBcXF7POyclJzs7O2rZtW5X75Ofn2xUAAAAAuBIE1lqUkZEhwzAUFhZWbTubzWZe/vvtt98qNDRU3t7e6t+/v1mfnJyswMBABQQE2O3bp08fubm52ZXfW1hYmNq2baupU6fq9OnTKi0t1dy5c3Xs2DFlZ2dXus/s2bPl4eFhFqvV+ruPEwAAAMD1hcBaiwzDqFG7yMhIbd++XWVlZUpOTlZkZKQkKSIiwi6wVra6umrVKqWlpdkVScrKyrILsbNmzaqNQ5IkNWrUSOvWrdPPP/8sLy8vubq6KikpSYMGDZKTU+V/haZOnaq8vDyzHD16tNbGAwAAAODGwD2stSgkJEQWi0UHDhyotp3NZlNRUZF27dqlpKQkTZ48WdKFwBoXF6fc3Fylpqbq8ccfr7Cv1WpVcHBwhXo/Pz8zvEqSl5fXtR3MJbp166a0tDTl5eWptLRU3t7e6tmzp2677bZK2zs7O8vZ2blWxwAAAADgxsIKay3y8vJSdHS04uPjK3167pkzZyRJ7du3l9Vq1caNG5WWlqaIiAhJkr+/v/z9/TV//nyVlpZe0f2rDRs2VHBwsFlqO7Be5OHhIW9vbx06dEi7d+/WPffc87t8DgAAAACwwlrL4uPj1bdvX/Xo0UMzZ85Uly5dVF5ers2bN2vRokVKT0+XdGGVdeHChQoODlbr1q3N/SMiIrRgwQLz4UyXOnXqlHJycuzqPD097R6I9FulpaXav3+/+efjx48rLS1Nbm5u5kptYWGhMjIyzH2OHDmitLQ0eXl5me+B/eyzz+Tt7a22bdvqxx9/1NNPP60hQ4Zo4MCB13C2AAAAAKBqrLDWsqCgIO3Zs0c2m00TJ07UTTfdpAEDBigxMVGLFi0y29lsNhUUFJj3r14UERGhgoKCKldXo6Ki5Ovra1c2bNhQ5Xj+/e9/65ZbbtEtt9yi7Oxsvfnmm7rlllvsXkWze/dus40kTZgwQbfccoteeukls012drYeeughhYWF6amnntJDDz2kFStWXMUZAgAAAICasRg1fVIQcA3y8/Pl4eEh+U+TnCpfDQYAI2t6fQ8BAAD8zi5mg7y8PLm7u1fblhVWAAAAAIBDIrACAAAAABwSgRUAAAAA4JAIrAAAAAAAh0RgBQAAAAA4JN7DijqVt//5yz4JDAAAAAAkVlgBAAAAAA6KwAoAAAAAcEgEVgAAAACAQyKwAgAAAAAcEg9dQp3y6DRXcnKp72EAwGUZWdPrewgAANzwWGEFAAAAADgkAisAAAAAwCERWAEAAAAADonACgAAAABwSARWAAAAAIBDIrACAAAAABwSgRUAAAAA4JAIrPUgJydH48ePV1BQkJydnWW1WjV48GAlJiYqNjZWMTExdu0TEhJksVg0Y8YMu/oZM2aobdu2kqTMzExZLJZKy44dO6odz9tvv60OHTqoSZMmslqtevbZZ1VcXGxuLygo0DPPPKOAgAA1adJEffr00a5du2rnZAAAAABAFRrW9wBuNJmZmerbt688PT01b948hYeHq6ysTJs2bdK4ceP07LPPatKkSSovL1fDhhemJykpSVarVcnJyXZ9JSUlyWaz2dVt2bJFnTt3tqtr0aJFleP529/+pilTpmjp0qXq06ePfv75Z40aNUoWi0VvvfWWJOnRRx/Vvn379Mknn8jPz09//etfFRUVpf3798vf378WzgoAAAAAVERgrWNjx46VxWLRzp071bRpU7O+c+fOiouL08mTJ1VYWKjdu3erV69ekqTk5GRNmTJFEydOVHFxsVxcXFRcXKzU1FQ98sgjdv23aNFCPj4+NR7Pd999p759++rBBx+UJLVr107Dhw9XamqqJOns2bNau3atPv/8c/Xv31/ShZXd//t//68WLVqk11577ZrOBwAAAABUhUuC61Bubq4SEhI0btw4u7B6kaenp0JDQ+Xn56ekpCRJFy7H3bNnj4YOHap27dopJSVF0oWgWVJSUmGF9Ur16dNH33//vXbu3ClJ+uWXX/Tll1/qzjvvlCSVl5fr3LlzcnFxsduvSZMm2rZtW5X9lpSUKD8/364AAAAAwJUgsNahjIwMGYahsLCwatvZbDbz8t9vv/1WoaGh8vb2Vv/+/c365ORkBQYGKiAgwG7fPn36yM3Nza5U58EHH9TMmTPVr18/NWrUSO3bt1dkZKSmTZsmSWrWrJl69+6tV199Vf/+97917tw5/fWvf1VKSoqys7Or7Hf27Nny8PAwi9VqvczZAQAAAAB7BNY6ZBhGjdpFRkZq+/btKisrU3JysiIjIyVJERERdoG1stXVVatWKS0tza5IUlZWll2InTVrltnPrFmztHDhQu3Zs0fr1q3T3//+d7366qtmn5988okMw5C/v7+cnZ317rvvavjw4XJyqvqvz9SpU5WXl2eWo0eP1ujYAQAAAOAi7mGtQyEhIbJYLDpw4EC17Ww2m4qKirRr1y4lJSVp8uTJki4E1ri4OOXm5io1NVWPP/54hX2tVquCg4Mr1Pv5+ZnhVZK8vLwkSdOnT9dDDz2kRx99VJIUHh6uoqIijRkzRi+88IKcnJzUvn17ffPNNyoqKlJ+fr58fX01bNgwBQUFVXkMzs7OcnZ2vuw5AQAAAICqsMJah7y8vBQdHa34+HgVFRVV2H7mzBlJUvv27WW1WrVx40alpaUpIiJCkuTv7y9/f3/Nnz9fpaWlV3T/asOGDRUcHGyWi4H1119/rbBS2qBBA0kVV4SbNm0qX19fnT59Wps2bdI999xT488HAAAAgCvFCmsdi4+PV9++fdWjRw/NnDlTXbp0UXl5uTZv3qxFixYpPT1d0oVV1oULFyo4OFitW7c294+IiNCCBQvMhzNd6tSpU8rJybGr8/T0rPDQpIsGDx6st956S7fccot69uypjIwMTZ8+XYMHDzaD66ZNm2QYhjp06KCMjAxNnjxZYWFhFZ5QDAAAAAC1icBax4KCgrRnzx69/vrrmjhxorKzs+Xt7a1u3bpp0aJFZjubzaaPP/7YvH/1ooiICC1btsx8Dc2loqKiKtStWLFCsbGxlbZ/8cUXZbFY9OKLL+r48ePy9vbW4MGD9frrr5tt8vLyNHXqVB07dkxeXl66//779frrr6tRo0ZXcQYAAAAAoGYsRk2fBARcg/z8fHl4eEj+0ySnyld7AcCRGFnT63sIAABcly5mg7y8PLm7u1fblntYAQAAAAAOicAKAAAAAHBIBFYAAAAAgEMisAIAAAAAHBJPCUadytv//GVvrAYAAAAAiRVWAAAAAICDIrACAAAAABwSgRUAAAAA4JAIrAAAAAAAh8RDl1CnPDrNlZxc6nsYAADUOyNren0PAQAcHiusAAAAAACHRGAFAAAAADgkAisAAAAAwCERWAEAAAAADonACgAAAABwSARWAAAAAIBDIrD+/yIjI/XMM89ccz+jRo3SkCFDrrkfAAAAALjRXdeBddSoUbJYLHriiScqbBs3bpwsFotGjRolSVq3bp1effXVa/7Md955R8uXL7/mfq6ExWIxS9OmTRUSEqJRo0bp+++/v+K+aiu4AwAAAMC1uq4DqyRZrVatXLlSZ8+eNeuKi4v1t7/9TW3btjXrvLy81KxZs2v+PA8PD3l6el5zP1dq2bJlys7O1k8//aT4+HgVFhaqZ8+e+vjjj+t8LAAAAABQG677wHrrrbfKarVq3bp1Zt26devUtm1b3XLLLWbdpSuLCxcuVEhIiFxcXNS6dWv98Y9/NLetWbNG4eHhatKkiVq0aKGoqCgVFRVJqnhJcGRkpJ566ik999xz8vLyko+Pj2bMmGE3xgMHDqhfv35ycXFRp06dtGXLFlksFm3YsKHGx+np6SkfHx+1a9dOAwcO1Jo1azRixAg9+eSTOn36tCTp1KlTGj58uPz9/eXq6qrw8HCtWLHC7GPUqFH65ptv9M4775grtpmZmTp37pxGjx6twMBANWnSRB06dNA777xT47EBAAAAwNW47gOrJMXFxWnZsmXmz0uXLtUjjzxSZfvdu3frqaee0syZM3Xw4EElJCSof//+kqTs7GwNHz5ccXFxSk9PV3Jysu677z4ZhlFlfx999JGaNm2q1NRUvfHGG5o5c6Y2b94sSTp37pyGDBkiV1dXpaam6i9/+YteeOGFWjnuZ599VgUFBeZnFRcXq1u3bvr73/+uffv2acyYMXrooYe0c+dOSRcuZ+7du7cee+wxZWdnKzs7W1arVefPn1ebNm302Wefaf/+/XrppZc0bdo0rV69usrPLikpUX5+vl0BAAAAgCvRsL4HUBf+9Kc/aerUqfrXv/4lSdq+fbtWrlyp5OTkSttnZWWpadOm+j//5/+oWbNmCggIMFdjs7OzVV5ervvuu08BAQGSpPDw8Go/v0uXLnr55ZclSSEhIXrvvfeUmJioAQMGaPPmzTp8+LCSk5Pl4+MjSXr99dc1YMCAaz7usLAwSVJmZqYkyd/fX5MmTTK3jx8/Xps2bdLq1avVo0cPeXh4qHHjxnJ1dTXHIkkNGjTQK6+8Yv4cGBiolJQUrV69Wg888EClnz179my7fQAAAADgSt0QgdXb21t33XWXli9fLsMwdNddd6lly5ZVth8wYIACAgIUFBSkmJgYxcTE6N5775Wrq6u6du2qO+64Q+Hh4YqOjtbAgQP1xz/+Uc2bN6+yvy5dutj97Ovrq5MnT0qSDh48KKvVahcQe/TocY1HfMHFVV+LxSLpwmrurFmztHr1ah0/flylpaUqKSmRq6vrZfuKj4/X0qVLlZWVpbNnz6q0tFQ333xzle2nTp2qCRMmmD/n5+fLarVe2wEBAAAAuKHcEJcESxcuC16+fLk++ugjxcXFVdu2WbNm2rNnj1asWCFfX1+99NJL6tq1q86cOaMGDRpo8+bN+uqrr9SpUyctWLBAHTp00JEjR6rsr1GjRnY/WywWnT9/vlaOqzrp6emSLqyIStK8efP0zjvv6Pnnn1dSUpLS0tIUHR2t0tLSavtZuXKlJk2apNGjR+sf//iH0tLS9Mgjj1S7n7Ozs9zd3e0KAAAAAFyJGyawxsTEqLS0VGVlZYqOjr5s+4YNGyoqKkpvvPGGfvjhB2VmZurrr7+WdCFw9u3bV6+88or27t2rxo0ba/369Vc1rg4dOujo0aM6ceKEWbdr166r6utSb7/9ttzd3RUVFSXpwqXQ99xzj/70pz+pa9euCgoK0s8//2y3T+PGjXXu3Dm7uu3bt6tPnz4aO3asbrnlFgUHB+vw4cO1MkYAAAAAqMoNcUmwdOE+zIsrjg0aNKi27RdffKFffvlF/fv3V/PmzfXll1/q/Pnz6tChg1JTU5WYmKiBAweqVatWSk1N1X/+8x917NjxqsY1YMAAtW/fXiNHjtQbb7yhgoICvfjii5L+91Lemjhz5oxycnJUUlKin3/+WR988IE2bNigjz/+2HzNTkhIiNasWaPvvvtOzZs311tvvaUTJ06oU6dOZj/t2rVTamqqMjMz5ebmJi8vL4WEhOjjjz/Wpk2bFBgYqE8++US7du0yV24BAAAA4Pdww6ywSqrxpamenp5at26d/vCHP6hjx456//33tWLFCnXu3Fnu7u7aunWr7rzzToWGhurFF1/U/PnzNWjQoKsaU4MGDbRhwwYVFhaqe/fuevTRR82nBLu4uNS4n0ceeUS+vr4KCwvTn//8Z7m5uWnnzp168MEHzTYvvviibr31VkVHRysyMlI+Pj52r+CRpEmTJqlBgwbq1KmTvL29lZWVpccff1z33Xefhg0bpp49e+rUqVMaO3bsVR0vAAAAANSUxajufSyoF9u3b1e/fv2UkZGh9u3b1/dwakV+fr48PDwk/2mSU82DOAAA1ysja3p9DwEA6sXFbJCXl3fZBcUb5pJgR7Z+/Xq5ubkpJCREGRkZevrpp9W3b9/rJqwCAAAAwNW4oS4JdlQFBQUaN26cwsLCNGrUKHXv3l2ff/65JGnWrFlyc3OrtFztZcgAAAAA8N+AS4IdXG5urnJzcyvd1qRJE/n7+9fxiK4OlwQDAGCPS4IB3Ki4JPg64uXlJS8vr/oeBgAAAADUOQIr6lTe/udr9KRmAAAAAOAeVgAAAACAQyKwAgAAAAAcEoEVAAAAAOCQCKwAAAAAAIdEYAUAAAAAOCSeEow65dFpLu9hBQAAqAbv6AX+FyusAAAAAACHRGAFAAAAADgkAisAAAAAwCERWAEAAAAADonACgAAAABwSATW61y7du309ttvX9E+27dvV3h4uBo1aqQhQ4b8LuMCAAAAgMup18A6atQoWSwWzZkzx65+w4YNslgsWrt2rRo0aKDjx49Xun9ISIgmTJggSYqMjJTFYpHFYpGzs7P8/f01ePBgrVu3rsbjWbt2rSIjI+Xh4SE3Nzd16dJFM2fOVG5urg4cOCCLxaIdO3bY7dOrVy+5uLiouLjYrCsuLpaLi4uWLFlid5yXlpiYmBqP7Wrt2rVLY8aMuaJ9JkyYoJtvvllHjhzR8uXLf5+BAQAAAMBl1PsKq4uLi+bOnavTp09X2Hb33XerRYsW+uijjyps27p1qzIyMjR69Giz7rHHHlN2drYOHz6stWvXqlOnToqNja1RYHvhhRc0bNgwde/eXV999ZX27dun+fPn65///Kc++eQThYWFycfHR8nJyeY+BQUF2rNnj7y9ve2CbEpKikpKSvSHP/zBrIuJiVF2drZdWbFiRU1P01Xz9vaWq6vrFe1z+PBh/eEPf1CbNm3k6en5+wwMAAAAAC6j3gNrVFSUfHx8NHv27ArbGjVqpIceeqjSVb6lS5eqZ8+e6ty5s1nn6uoqHx8ftWnTRr169dLcuXP1wQcfaPHixdqyZUuVY9i5c6dmzZql+fPna968eerTp4/atWunAQMGaO3atRo5cqQkyWaz2QXWbdu2KTQ0VIMHD7arT05OVkBAgAIDA806Z2dn+fj42JXmzZtXOabMzExZLBatW7dONptNrq6u6tq1q1JSUuzarV27Vp07d5azs7PatWun+fPn222/9JJgi8WiDz/8UPfee69cXV0VEhKijRs32n3mqVOnFBcXJ4vFYp77b775Rj169JCzs7N8fX01ZcoUlZeXVzl+AAAAALhW9R5YGzRooFmzZmnBggU6duxYhe2jR4/WoUOHtHXrVrOusLBQa9assVtdrcrIkSPVvHnzai8N/vTTT+Xm5qaxY8dWuv3iKqPNZtO2bdvMoJaUlKTIyEhFREQoKSnJbJ+UlCSbzXbZsdXECy+8oEmTJiktLU2hoaEaPny4+fnff/+9HnjgAcXGxurHH3/UjBkzNH369MtexvvKK6/ogQce0A8//KA777xTI0aMUG5urqxWq7Kzs+Xu7q63335b2dnZGjZsmI4fP64777xT3bt31z//+U8tWrRIS5Ys0WuvvVblZ5SUlCg/P9+uAAAAAMCVqPfAKkn33nuvbr75Zr388ssVtnXq1Em9evXS0qVLzbrVq1fLMAzFxsZetm8nJyeFhoYqMzOzyjaHDh1SUFCQGjVqVG1fNptNRUVF2rVrl6QLK6kRERHq37+/UlNTVVxcrLNnz2rnzp0VAusXX3whNzc3uzJr1qzLjn/SpEm66667FBoaqldeeUX/+te/lJGRIUl66623dMcdd2j69OkKDQ3VqFGj9OSTT2revHnV9jlq1CgNHz5cwcHBmjVrlgoLC7Vz5041aNBAPj4+slgs8vDwkI+Pj5o0aaKFCxfKarXqvffeU1hYmIYMGaJXXnlF8+fP1/nz5yv9jNmzZ8vDw8MsVqv1sscKAAAAAL/lEIFVkubOnauPPvpI6enpFbbFxcVpzZo1KigokHThcuChQ4eqWbNmNerbMAxZLBZJ0qBBg8zAePFyYsMwatRPcHCw2rRpo+TkZOXn52vv3r2KiIiQr6+v2rZtq5SUFPP+1UsDq81mU1paml154oknJElPPPGEXZD9rS5duph/9vX1lSSdPHlSkpSenq6+ffvate/bt68OHTqkc+fOVXkcv+2zadOmcnd3N/usTHp6unr37m2ew4ufU1hYWOmquCRNnTpVeXl5Zjl69GiV/QMAAABAZRrW9wAu6t+/v6KjozV16lSNGjXKbltsbKyeffZZrV69Wv3799f27dsrvee1MufOndOhQ4fUvXt3SdKHH36os2fPSpK5ohoaGqpt27aprKzssquskZGRSkpKUpcuXRQSEqJWrVpJknlZsGEYCg4OrrCi2LRpUwUHB1fa58yZMzVp0qRKt/12PBcDY1WrmjV16TFaLJZr7vNSzs7OcnZ2rtU+AQAAANxYHCawStKcOXN08803q0OHDnb1zZo109ChQ7V06VIdPnxYoaGhuv3222vU50cffaTTp0/r/vvvlyT5+/tXaPPggw/q3Xff1cKFC/X0009X2H7mzBm7+1ifeuopderUSZGRkWab/v37a/HixTIM44rvX23VqpUZfK9Ex44dtX37dru67du3KzQ0VA0aNLji/qr7nLVr19qtVG/fvl3NmjVTmzZtau1zAAAAAOC3HCqwhoeHa8SIEXr33XcrbBs9erRuv/12paen6/nnn690/19//VU5OTkqLy/XsWPHtH79ev3P//yP/vznP1cbInv27KnnnntOEydO1PHjx3XvvffKz89PGRkZev/999WvXz8zyF68j3Xp0qVavHix2UdERIQeffRRSar04U0lJSXKycmxq2vYsKFatmx5+RNThYkTJ6p79+569dVXNWzYMKWkpOi9997TwoULr7rPyowdO1Zvv/22xo8fryeffFIHDx7Uyy+/rAkTJsjJyWGuKgcAAABwnXG4tDFz5sxKL0/t16+fOnTooPz8fD388MOV7rt48WL5+vqqffv2uu+++7R//36tWrWqRgFu7ty5+tvf/qbU1FRFR0erc+fOmjBhgrp06WK+1kaSAgMDFRAQoIKCAkVERJj1bdu2lZ+fn0pLS+1WXi9KSEiQr6+vXenXr18NzkjVbr31Vq1evVorV67UTTfdpJdeekkzZ86scEn1tfL399eXX36pnTt3qmvXrnriiSc0evRovfjii7X6OQAAAADwWxajpk8cAq5Bfn6+PDw8JP9pkpNLfQ8HAADAYRlZ0+t7CMDv6mI2yMvLk7u7e7VtHW6FFQAAAAAAicAKAAAAAHBQBFYAAAAAgEMisAIAAAAAHJJDvdYG17+8/c9f9sZqAAAAAJBYYQUAAAAAOCgCKwAAAADAIRFYAQAAAAAOicAKAAAAAHBIBFYAAAAAgEPiKcGoUx6d5kpOLvU9DAAAAFTDyJpe30MAJLHCCgAAAABwUARWAAAAAIBDIrACAAAAABwSgRUAAAAA4JAIrAAAAAAAh0RgvYEsX75cnp6e9T0MAAAAAKgRhwqso0aNksVi0Zw5c+zqN2zYIIvForVr16pBgwY6fvx4pfuHhIRowoQJkqTIyEhZLBZZLBY5OzvL399fgwcP1rp162o8nrVr1yoyMlIeHh5yc3NTly5dNHPmTOXm5urAgQOyWCzasWOH3T69evWSi4uLiouLzbri4mK5uLhoyZIldsd5aYmJibnsmI4ePaq4uDj5+fmpcePGCggI0NNPP61Tp07ZtWvXrp3efvvtGh8rAAAAADgahwqskuTi4qK5c+fq9OnTFbbdfffdatGihT766KMK27Zu3aqMjAyNHj3arHvssceUnZ2tw4cPa+3aterUqZNiY2M1ZsyYy47jhRde0LBhw9S9e3d99dVX2rdvn+bPn69//vOf+uSTTxQWFiYfHx8lJyeb+xQUFGjPnj3y9va2C7IpKSkqKSnRH/7wB7MuJiZG2dnZdmXFihXVjumXX37RbbfdpkOHDmnFihXKyMjQ+++/r8TERPXu3Vu5ubmXPa7fQ1lZWb18LgAAAIDrm8MF1qioKPn4+Gj27NkVtjVq1EgPPfSQli9fXmHb0qVL1bNnT3Xu3Nmsc3V1lY+Pj9q0aaNevXpp7ty5+uCDD7R48WJt2bKlyjHs3LlTs2bN0vz58zVv3jz16dNH7dq104ABA7R27VqNHDlSkmSz2ewC67Zt2xQaGqrBgwfb1ScnJysgIECBgYFmnbOzs3x8fOxK8+bNqz0348aNU+PGjfWPf/xDERERatu2rQYNGqQtW7bo+PHjeuGFFyRdWF3+17/+pWeffdZcvf2tTZs2qWPHjnJzczOD8299+OGH6tixo1xcXBQWFqaFCxea2zIzM2WxWLRq1SpFRETIxcVFn376abXjBgAAAICr4XCBtUGDBpo1a5YWLFigY8eOVdg+evRoHTp0SFu3bjXrCgsLtWbNGrvV1aqMHDlSzZs3r/bS4E8//VRubm4aO3Zspdsv3gdqs9m0bds2lZeXS5KSkpIUGRmpiIgIJSUlme2TkpJks9kuO7bq5ObmatOmTRo7dqyaNGlit83Hx0cjRozQqlWrZBiG1q1bpzZt2mjmzJnm6u1Fv/76q95880198skn2rp1q7KysjRp0iS7Y3/ppZf0+uuvKz09XbNmzdL06dMrrGpPmTJFTz/9tNLT0xUdHV1hvCUlJcrPz7crAAAAAHAlHC6wStK9996rm2++WS+//HKFbZ06dVKvXr20dOlSs2716tUyDEOxsbGX7dvJyUmhoaHKzMysss2hQ4cUFBSkRo0aVduXzWZTUVGRdu3aJenCSmpERIT69++v1NRUFRcX6+zZs9q5c2eFwPrFF1/Izc3NrsyaNavaMRmGoY4dO1a6vWPHjjp9+rT+85//yMvLSw0aNFCzZs3M1duLysrK9P777+u2227TrbfeqieffFKJiYnm9pdfflnz58/Xfffdp8DAQN1333169tln9cEHH9h93jPPPGO28fX1rTCe2bNny8PDwyxWq7XacwkAAAAAl3LIwCpJc+fO1UcffaT09PQK2+Li4rRmzRoVFBRIunA58NChQ9WsWbMa9W0YhnmZ7KBBg8zAePFyYsMwatRPcHCw2rRpo+TkZOXn52vv3r2KiIiQr6+v2rZtq5SUFPP+1UsDq81mU1paml154oknJElPPPGEXZC9dOzXwtXVVe3btzd/9vX11cmTJyVJRUVFOnz4sEaPHm33+a+99poOHz5s189tt91W7edMnTpVeXl5Zjl69Og1jRsAAADAjadhfQ+gKv3791d0dLSmTp2qUaNG2W2LjY3Vs88+q9WrV6t///7avn17pfe8VubcuXM6dOiQunfvLunC/Zpnz56VJHNFNTQ0VNu2bVNZWdllV1kjIyOVlJSkLl26KCQkRK1atZIk87JgwzAUHBxcYYWxadOmCg4OrrTPmTNn2l2mK10IxxaLRenp6br33nsr7JOenq7mzZvL29u72vFeejwWi8UMwYWFhZKkxYsXq2fPnnbtGjRoUGH81XF2dpazs3O1bQAAAACgOg4bWCVpzpw5uvnmm9WhQwe7+mbNmmno0KFaunSpDh8+rNDQUN1+++016vOjjz7S6dOndf/990uS/P39K7R58MEH9e6772rhwoV6+umnK2w/c+aM3X2sTz31lDp16qTIyEizTf/+/bV48WIZhnHF96+2atXKDL4XtWjRQgMGDNDChQv17LPP2t3HmpOTo08//VQPP/ywuXLcuHFjnTt37oo+t3Xr1vLz89Mvv/yiESNGXNG+AAAAAFDbHDqwhoeHa8SIEXr33XcrbBs9erRuv/12paen6/nnn690/19//VU5OTkqLy/XsWPHtH79ev3P//yP/vznP1cbInv27KnnnntOEydO1PHjx3XvvffKz8/PfI1Mv379zCB78T7WpUuXavHixWYfERERevTRRyWp0oc3lZSUKCcnx66uYcOGatmyZZXjeu+999SnTx9FR0frtddeU2BgoH766SdNnjxZ/v7+ev3118227dq109atWxUbGytnZ+dq+/2tV155RU899ZQ8PDwUExOjkpIS7d69W6dPnzbfcQsAAAAAdcFh72G9aObMmTp//nyF+n79+qlDhw7Kz8/Xww8/XOm+ixcvlq+vr9q3b6/77rtP+/fv16pVq+xe01KVuXPn6m9/+5tSU1MVHR2tzp07a8KECerSpYv5WhtJCgwMVEBAgAoKChQREWHWt23bVn5+fiotLbVbeb0oISFBvr6+dqVfv37VjikkJES7d+9WUFCQHnjgAbVv315jxoyRzWZTSkqKvLy8zLYzZ85UZmam2rdvf9nLhH/r0Ucf1Ycffqhly5YpPDxcERERWr58ud0reQAAAACgLliMa32KD1AD+fn58vDwkPynSU4u9T0cAAAAVMPIml7fQ8B17GI2yMvLk7u7e7VtHX6FFQAAAABwYyKwAgAAAAAcEoEVAAAAAOCQCKwAAAAAAIfk0K+1wfUnb//zl72xGgAAAAAkVlgBAAAAAA6KwAoAAAAAcEgEVgAAAACAQyKwAgAAAAAcEoEVAAAAAOCQeEow6pRHp7mSk0t9DwMAAAC4YRhZ0+t7CFeNFVYAAAAAgEMisAIAAAAAHBKBFQAAAADgkAisAAAAAACHRGAFAAAAADgkAisAAAAAwCERWAEAAAAADonAWk9ycnI0fvx4BQUFydnZWVarVYMHD1ZiYqJiY2MVExNj1z4hIUEWi0UzZsywq58xY4batm0rScrMzJTFYqm07Nixo8qxREZGVrrPXXfdZbY5ceKERo0aJT8/P7m6uiomJkaHDh2qvRMCAAAAAJdoWN8DuBFlZmaqb9++8vT01Lx58xQeHq6ysjJt2rRJ48aN07PPPqtJkyapvLxcDRtemKKkpCRZrVYlJyfb9ZWUlCSbzWZXt2XLFnXu3NmurkWLFlWOZ926dSotLTV/PnXqlLp27aqhQ4dKkgzD0JAhQ9SoUSN9/vnncnd311tvvaWoqCjt379fTZs2vZbTAQAAAACVIrDWg7Fjx8pisWjnzp12Ya9z586Ki4vTyZMnVVhYqN27d6tXr16SpOTkZE2ZMkUTJ05UcXGxXFxcVFxcrNTUVD3yyCN2/bdo0UI+Pj41Ho+Xl5fdzytXrpSrq6sZWA8dOqQdO3Zo3759ZhBetGiRfHx8tGLFCj366KMV+iwpKVFJSYn5c35+fo3HAwAAAAASlwTXudzcXCUkJGjcuHGVrkx6enoqNDRUfn5+SkpKkiQVFBRoz549Gjp0qNq1a6eUlBRJ0nfffaeSkpIKK6zXasmSJYqNjTXHdzF4uri4mG2cnJzk7Oysbdu2VdrH7Nmz5eHhYRar1VqrYwQAAABw/SOw1rGMjAwZhqGwsLBq29lsNvPy32+//VahoaHy9vZW//79zfrk5GQFBgYqICDAbt8+ffrIzc3NrtTUzp07tW/fPrtV07CwMLVt21ZTp07V6dOnVVpaqrlz5+rYsWPKzs6utJ+pU6cqLy/PLEePHq3xGAAAAABAIrDWOcMwatQuMjJS27dvV1lZmZKTkxUZGSlJioiIsAusla2urlq1SmlpaXZFkrKysuxC7KxZsyrsu2TJEoWHh6tHjx5mXaNGjbRu3Tr9/PPP8vLykqurq5KSkjRo0CA5OVX+V8jZ2Vnu7u52BQAAAACuBPew1rGQkBBZLBYdOHCg2nY2m01FRUXatWuXkpKSNHnyZEkXAmtcXJxyc3OVmpqqxx9/vMK+VqtVwcHBFer9/PzM8CpVvHe1qKhIK1eu1MyZMyvs261bN6WlpSkvL0+lpaXy9vZWz549ddttt9XksAEAAADgirHCWse8vLwUHR2t+Ph4FRUVVdh+5swZSVL79u1ltVq1ceNGpaWlKSIiQpLk7+8vf39/zZ8/X6WlpVd0/2rDhg0VHBxslksD62effaaSkhL96U9/qrIPDw8PeXt769ChQ9q9e7fuueeeGn8+AAAAAFwJAms9iI+P17lz59SjRw+tXbtWhw4dUnp6ut5991317t3bbGez2bRw4UIFBwerdevWZn1ERIQWLFhgPpzpUqdOnVJOTo5dKS4uvuy4lixZoiFDhlT6CpzPPvtMycnJ+uWXX/T5559rwIABGjJkiAYOHHiVZwEAAAAAqkdgrQdBQUHas2ePbDabJk6cqJtuukkDBgxQYmKiFi1aZLaz2WwqKCgw71+9KCIiQgUFBVWurkZFRcnX19eubNiwodoxHTx4UNu2bdPo0aMr3Z6dna2HHnpIYWFheuqpp/TQQw9pxYoVV3TcAAAAAHAlLEZNnwIEXIP8/Hx5eHhI/tMkJ5fL7wAAAACgVhhZ0+t7CHYuZoO8vLzLPpyVFVYAAAAAgEMisAIAAAAAHBKBFQAAAADgkAisAAAAAACH1LC+B4AbS97+5y97YzUAAAAASKywAgAAAAAcFIEVAAAAAOCQCKwAAAAAAIdEYAUAAAAAOCQCKwAAAADAIRFYAQAAAAAOicAKAAAAAHBIBFYAAAAAgEMisAIAAAAAHBKBFQAAAADgkAisAAAAAACHRGAFAAAAADgkAisAAAAAwCERWAEAAAAADonACgAAAABwSARWAAAAAIBDIrACAAAAABwSgRUAAAAA4JAIrAAAAAAAh0RgBQAAAAA4JAIrAAAAAMAhEVgBAAAAAA6JwAoAAAAAcEgEVgAAAACAQyKwAgAAAAAcEoEVAAAAAOCQCKwAAAAAAIdEYAUAAAAAOCQCKwAAAADAIRFYAQAAAAAOicAKAAAAAHBIBFYAAAAAgEMisAIAAAAAHFLD+h4AbgyGYUiS8vPz63kkAAAAAOrTxUxwMSNUh8CKOnHq1ClJktVqreeRAAAAAHAEBQUF8vDwqLYNgRV1wsvLS5KUlZV12b+UcFz5+fmyWq06evSo3N3d63s4uErM4/WBebw+MI/XB+bx+sA81h3DMFRQUCA/P7/LtiWwok44OV24XdrDw4NfANcBd3d35vE6wDxeH5jH6wPzeH1gHq8PzGPdqOkiFg9dAgAAAAA4JAIrAAAAAMAhEVhRJ5ydnfXyyy/L2dm5voeCa8A8Xh+Yx+sD83h9YB6vD8zj9YF5dEwWoybPEgYAAAAAoI6xwgoAAAAAcEgEVgAAAACAQyKwAgAAAAAcEoEVAAAAAOCQCKyoE/Hx8WrXrp1cXFzUs2dP7dy5s76HdMOaMWOGLBaLXQkLCzO3FxcXa9y4cWrRooXc3Nx0//3368SJE3Z9ZGVl6a677pKrq6tatWqlyZMnq7y83K5NcnKybr31Vjk7Oys4OFjLly+vi8O7bm3dulWDBw+Wn5+fLBaLNmzYYLfdMAy99NJL8vX1VZMmTRQVFaVDhw7ZtcnNzdWIESPk7u4uT09PjR49WoWFhXZtfvjhB91+++1ycXGR1WrVG2+8UWEsn332mcLCwuTi4qLw8HB9+eWXtX6816vLzeOoUaMqfD9jYmLs2jCP9Wv27Nnq3r27mjVrplatWmnIkCE6ePCgXZu6/D3Kv69XpybzGBkZWeH7+MQTT9i1YR7r16JFi9SlSxe5u7vL3d1dvXv31ldffWVu57t4nTCA39nKlSuNxo0bG0uXLjV++ukn47HHHjM8PT2NEydO1PfQbkgvv/yy0blzZyM7O9ss//nPf8ztTzzxhGG1Wo3ExERj9+7dRq9evYw+ffqY28vLy42bbrrJiIqKMvbu3Wt8+eWXRsuWLY2pU6eabX755RfD1dXVmDBhgrF//35jwYIFRoMGDYyEhIQ6PdbryZdffmm88MILxrp16wxJxvr16+22z5kzx/Dw8DA2bNhg/POf/zTuvvtuIzAw0Dh79qzZJiYmxujatauxY8cO49tvvzWCg4ON4cOHm9vz8vKM1q1bGyNGjDD27dtnrFixwmjSpInxwQcfmG22b99uNGjQwHjjjTeM/fv3Gy+++KLRqFEj48cff/zdz8H14HLzOHLkSCMmJsbu+5mbm2vXhnmsX9HR0cayZcuMffv2GWlpacadd95ptG3b1igsLDTb1NXvUf59vXo1mceIiAjjscces/s+5uXlmduZx/q3ceNG4+9//7vx888/GwcPHjSmTZtmNGrUyNi3b59hGHwXrxcEVvzuevToYYwbN878+dy5c4afn58xe/bsehzVjevll182unbtWum2M2fOGI0aNTI+++wzsy49Pd2QZKSkpBiGceE/3E5OTkZOTo7ZZtGiRYa7u7tRUlJiGIZhPPfcc0bnzp3t+h42bJgRHR1dy0dzY7o06Jw/f97w8fEx5s2bZ9adOXPGcHZ2NlasWGEYhmHs37/fkGTs2rXLbPPVV18ZFovFOH78uGEYhrFw4UKjefPm5jwahmE8//zzRocOHcyfH3jgAeOuu+6yG0/Pnj2Nxx9/vFaP8UZQVWC95557qtyHeXQ8J0+eNCQZ33zzjWEYdft7lH9fa8+l82gYFwLr008/XeU+zKNjat68ufHhhx/yXbyOcEkwflelpaX6/vvvFRUVZdY5OTkpKipKKSkp9TiyG9uhQ4fk5+enoKAgjRgxQllZWZKk77//XmVlZXbzFRYWprZt25rzlZKSovDwcLVu3dpsEx0drfz8fP30009mm9/2cbENc/77OHLkiHJycuzOuYeHh3r27Gk3b56enrrtttvMNlFRUXJyclJqaqrZpn///mrcuLHZJjo6WgcPHtTp06fNNszt7ys5OVmtWrVShw4d9Oc//1mnTp0ytzGPjicvL0+S5OXlJanufo/y72vtunQeL/r000/VsmVL3XTTTZo6dap+/fVXcxvz6FjOnTunlStXqqioSL179+a7eB1pWN8DwPXt//2//6dz587Z/SKQpNatW+vAgQP1NKobW8+ePbV8+XJ16NBB2dnZeuWVV3T77bdr3759ysnJUePGjeXp6Wm3T+vWrZWTkyNJysnJqXQ+L26rrk1+fr7Onj2rJk2a/E5Hd2O6eN4rO+e/nZNWrVrZbW/YsKG8vLzs2gQGBlbo4+K25s2bVzm3F/vAtYmJidF9992nwMBAHT58WNOmTdOgQYOUkpKiBg0aMI8O5vz583rmmWfUt29f3XTTTZJUZ79HT58+zb+vtaSyeZSkBx98UAEBAfLz89MPP/yg559/XgcPHtS6deskMY+O4scff1Tv3r1VXFwsNzc3rV+/Xp06dVJaWhrfxesEgRW4wQwaNMj8c5cuXdSzZ08FBARo9erVBEmgnsXGxpp/Dg8PV5cuXdS+fXslJyfrjjvuqMeRoTLjxo3Tvn37tG3btvoeCq5BVfM4ZswY88/h4eHy9fXVHXfcocOHD6t9+/Z1PUxUoUOHDkpLS1NeXp7WrFmjkSNH6ptvvqnvYaEWcUkwflctW7ZUgwYNKjyR7cSJE/Lx8amnUeG3PD09FRoaqoyMDPn4+Ki0tFRnzpyxa/Pb+fLx8al0Pi9uq66Nu7s7ofh3cPG8V/c98/Hx0cmTJ+22l5eXKzc3t1bmlu/z7yMoKEgtW7ZURkaGJObRkTz55JP64osvlJSUpDZt2pj1dfV7lH9fa0dV81iZnj17SpLd95F5rH+NGzdWcHCwunXrptmzZ6tr16565513+C5eRwis+F01btxY3bp1U2Jioll3/vx5JSYmqnfv3vU4MlxUWFiow4cPy9fXV926dVOjRo3s5uvgwYPKysoy56t379768ccf7f7TvHnzZrm7u6tTp05mm9/2cbENc/77CAwMlI+Pj905z8/PV2pqqt28nTlzRt9//73Z5uuvv9b58+fN/4T17t1bW7duVVlZmdlm8+bN6tChg5o3b262YW7rzrFjx3Tq1Cn5+vpKYh4dgWEYevLJJ7V+/Xp9/fXXFS6/rqvfo/z7em0uN4+VSUtLkyS77yPz6HjOnz+vkpISvovXk/p+6hOufytXrjScnZ2N5cuXG/v37zfGjBljeHp62j2RDXVn4sSJRnJysnHkyBFj+/btRlRUlNGyZUvj5MmThmFceAR827Ztja+//trYvXu30bt3b6N3797m/hcfAT9w4EAjLS3NSEhIMLy9vSt9BPzkyZON9PR0Iz4+ntfaXKOCggJj7969xt69ew1JxltvvWXs3bvX+Ne//mUYxoXX2nh6ehqff/658cMPPxj33HNPpa+1ueWWW4zU1FRj27ZtRkhIiN3rUM6cOWO0bt3aeOihh4x9+/YZK1euNFxdXSu8DqVhw4bGm2++aaSnpxsvv/wyr0O5AtXNY0FBgTFp0iQjJSXFOHLkiLFlyxbj1ltvNUJCQozi4mKzD+axfv35z382PDw8jOTkZLvXnfz6669mm7r6Pcq/r1fvcvOYkZFhzJw509i9e7dx5MgR4/PPPzeCgoKM/v37m30wj/VvypQpxjfffGMcOXLE+OGHH4wpU6YYFovF+Mc//mEYBt/F6wWBFXViwYIFRtu2bY3GjRsbPXr0MHbs2FHfQ7phDRs2zPD19TUaN25s+Pv7G8OGDTMyMjLM7WfPnjXGjh1rNG/e3HB1dTXuvfdeIzs7266PzMxMY9CgQUaTJk2Mli1bGhMnTjTKysrs2iQlJRk333yz0bhxYyMoKMhYtmxZXRzedSspKcmQVKGMHDnSMIwLr7aZPn260bp1a8PZ2dm44447jIMHD9r1cerUKWP48OGGm5ub4e7ubjzyyCNGQUGBXZt//vOfRr9+/QxnZ2fD39/fmDNnToWxrF692ggNDTUaN25sdO7c2fj73//+ux339aa6efz111+NgQMHGt7e3kajRo2MgIAA47HHHqvwHx7msX5VNn+S7H7H1eXvUf59vTqXm8esrCyjf//+hpeXl+Hs7GwEBwcbkydPtnsPq2Ewj/UtLi7OCAgIMBo3bmx4e3sbd9xxhxlWDYPv4vXCYhiGUXfruQAAAAAA1Az3sAIAAAAAHBKBFQAAAADgkAisAAAAAACHRGAFAAAAADgkAisAAAAAwCERWAEAAAAADonACgAAAABwSARWAAAAAIBDIrACAAAAABwSgRUAAFyxnJwcjR8/XkFBQXJ2dpbVatXgwYO1adMmtWzZUnPmzKl0v1dffVWtW7dWWVmZli9fLovFUqG4uLjU8dEAABxVw/oeAAAA+O+SmZmpvn37ytPTU/PmzVN4eLjKysq0adMmPf300/rTn/6kZcuWacqUKXb7GYah5cuX6+GHH1ajRo0kSe7u7jp48KBdO4vFUmfHAgBwbARWAABwRcaOHSuLxaKdO3eqadOmZn3nzp0VFxeno0eP6p133tG2bdvUr18/c/s333yjX375RaNHjzbrLBaLfHx8qvysNWvW6JVXXlFGRoZcXV11yy236PPPP7f7XADA9YtLggEAQI3l5uYqISFB48aNqzQ0enp6Kjw8XN27d9fSpUvtti1btkx9+vRRWFhYjT4rOztbw4cPV1xcnNLT05WcnKz77rtPhmHUyrEAABwfgRUAANRYRkaGDMO4bOgcPXq0PvvsMxUWFkqSCgoKtGbNGsXFxdm1y8vLk5ubm10ZNGiQpAuBtby8XPfdd5/atWun8PBwjR07Vm5ubr/PwQEAHA6BFQAA1FhNVzeHDx+uc+fOafXq1ZKkVatWycnJScOGDbNr16xZM6WlpdmVDz/8UJLUtWtX3XHHHQoPD9fQoUO1ePFinT59unYPCADg0AisAACgxkJCQmSxWHTgwIFq27m7u+uPf/yjli1bJunC5cAPPPBAhdVRJycnBQcH2xV/f39JUoMGDbR582Z99dVX6tSpkxYsWKAOHTroyJEjv8/BAQAcDoEVAADUmJeXl6KjoxUfH6+ioqIK28+cOWP+efTo0dq2bZu++OILfffdd3YPW6opi8Wivn376pVXXtHevXvVuHFjrV+//loOAQDwX4SnBAMAgCsSHx+vvn37qkePHpo5c6a6dOmi8vJybd68WYsWLVJ6erokqX///goODtbDDz+ssLAw9enTp0JfhmEoJyenQn2rVq20a9cuJSYmauDAgWrVqpVSU1P1n//8Rx07dvzdjxEA4BgIrAAA4IoEBQVpz549ev311zVx4kRlZ2fL29tb3bp106JFi8x2FotFcXFxmjZtmqZOnVppX/n5+fL19a1Qn52dLXd3d23dulVvv/228vPzFRAQoPnz55sPZQIAXP8sBs+GBwAAAAA4IO5hBQAAAAA4JAIrAAAAAMAhEVgBAAAAAA6JwAoAAAAAcEgEVgAAAACAQyKwAgAAAAAcEoEVAAAAAOCQCKwAAAAAAIdEYAUAAAAAOCQCKwAAAADAIRFYAQAAAAAO6f8DsuXg+In43/UAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -663,10 +663,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:02.745797Z",
-     "iopub.status.busy": "2024-09-13T08:21:02.745445Z",
-     "iopub.status.idle": "2024-09-13T08:21:02.758949Z",
-     "shell.execute_reply": "2024-09-13T08:21:02.758512Z"
+     "iopub.execute_input": "2025-02-02T04:19:36.249982Z",
+     "iopub.status.busy": "2025-02-02T04:19:36.249800Z",
+     "iopub.status.idle": "2025-02-02T04:19:36.264319Z",
+     "shell.execute_reply": "2025-02-02T04:19:36.263705Z"
     },
     "tags": [
      "remove-input"
@@ -676,7 +676,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_c79786ea_dadf_49f0_ae44_21b383a53961\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_fc9cfa8b_e805_4cb1_9194_f6de8215a7ab\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -686,7 +686,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -777,24 +776,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_fc9cfa8b_e805_4cb1_9194_f6de8215a7ab:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_c79786ea_dadf_49f0_ae44_21b383a53961:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 106417, 41.0], [\"secalert@redhat.com\", 11541, 4.0], [\"secure@microsoft.com\", 10902, 4.0], [\"secalert_us@oracle.com\", 7957, 3.0], [\"product-security@apple.com\", 6912, 3.0], [\"psirt@us.ibm.com\", 6873, 3.0], [\"security-advisories@github.com\", 6528, 2.0], [\"psirt@adobe.com\", 5865, 2.0], [\"ykramarz@cisco.com\", 5722, 2.0], [\"audit@patchstack.com\", 5161, 2.0], [\"cna@vuldb.com\", 4957, 2.0], [\"security@android.com\", 4667, 2.0], [\"security@wordfence.com\", 3559, 1.0], [\"contact@wpscan.com\", 3499, 1.0], [\"secure@intel.com\", 3493, 1.0], [\"chrome-cve-admin@google.com\", 3332, 1.0], [\"product-security@qualcomm.com\", 3261, 1.0], [\"cret@cert.org\", 3243, 1.0], [\"416baaa9-dc9f-4396-8d5f-8c081fb06d67\", 3208, 1.0], [\"ics-cert@hq.dhs.gov\", 3072, 1.0], [\"vultures@jpcert.or.jp\", 2699, 1.0], [\"zdi-disclosures@trendmicro.com\", 2381, 1.0], [\"talos-cna@cisco.com\", 2228, 1.0], [\"security@mozilla.org\", 2020, 1.0], [\"security@huntr.dev\", 1964, 1.0], [\"psirt@huawei.com\", 1902, 1.0], [\"security_alert@emc.com\", 1793, 1.0], [\"security@apache.org\", 1526, 1.0], [\"productcert@siemens.com\", 1422, 1.0], [\"support@hackerone.com\", 1420, 1.0], [\"jenkinsci-cert@googlegroups.com\", 1344, 1.0], [\"security-alert@hpe.com\", 1342, 1.0], [\"cna@sap.com\", 1287, 0.0], [\"mobile.security@samsung.com\", 998, 0.0], [\"hp-security-alert@hp.com\", 910, 0.0], [\"sirt@juniper.net\", 840, 0.0], [\"cve@gitlab.com\", 818, 0.0], [\"f5sirt@f5.com\", 801, 0.0], [\"security@debian.org\", 788, 0.0], [\"report@snyk.io\", 784, 0.0], [\"security@mediatek.com\", 738, 0.0], [\"psirt@fortinet.com\", 669, 0.0], [\"psirt@nvidia.com\", 660, 0.0], [\"cybersecurity@se.com\", 629, 0.0], [\"security@vmware.com\", 627, 0.0], [\"security@opentext.com\", 608, 0.0], [\"security@unisoc.com\", 594, 0.0], [\"twcert@cert.org.tw\", 544, 0.0], [\"psirt@lenovo.com\", 543, 0.0], [\"cve-coordination@incibe.es\", 512, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 499, 0.0], [\"vulnreport@tenable.com\", 494, 0.0], [\"info@cert.vde.com\", 458, 0.0], [\"security@atlassian.com\", 438, 0.0], [\"security@trendmicro.com\", 427, 0.0], [\"security@ubuntu.com\", 424, 0.0], [\"psirt@amd.com\", 422, 0.0], [\"trellixpsirt@trellix.com\", 380, 0.0], [\"secure@symantec.com\", 350, 0.0], [\"help@fluidattacks.com\", 318, 0.0], [\"psirt@paloaltonetworks.com\", 306, 0.0], [\"security@qnapsecurity.com.tw\", 297, 0.0], [\"iletisim@usom.gov.tr\", 274, 0.0], [\"psirt@hcl.com\", 243, 0.0], [\"security@synology.com\", 230, 0.0], [\"cve@rapid7.com\", 228, 0.0], [\"cve-coordination@google.com\", 222, 0.0], [\"psirt@autodesk.com\", 197, 0.0], [\"vulnerabilitylab@mend.io\", 196, 0.0], [\"cna@cyber.gov.il\", 196, 0.0], [\"vuln@krcert.or.kr\", 195, 0.0], [\"secteam@freebsd.org\", 194, 0.0], [\"patrick@puiterwijk.org\", 194, 0.0], [\"responsibledisclosure@mattermost.com\", 189, 0.0], [\"bressers@elastic.co\", 179, 0.0], [\"josh@bress.net\", 174, 0.0], [\"security@tibco.com\", 170, 0.0], [\"security-alert@netapp.com\", 167, 0.0], [\"psirt@zte.com.cn\", 165, 0.0], [\"cve@jetbrains.com\", 164, 0.0], [\"security@pivotal.io\", 160, 0.0], [\"cve-assign@fb.com\", 152, 0.0], [\"dsap-vuln-management@google.com\", 151, 0.0], [\"security@zoom.us\", 150, 0.0], [\"vulnerability@kaspersky.com\", 146, 0.0], [\"cybersecurity@ch.abb.com\", 141, 0.0], [\"psirt@solarwinds.com\", 140, 0.0], [\"sirt@brocade.com\", 136, 0.0], [\"PSIRT@sonicwall.com\", 133, 0.0], [\"emo@eclipse.org\", 131, 0.0], [\"cve-requests@bitdefender.com\", 130, 0.0], [\"security@joomla.org\", 127, 0.0], [\"security-officer@isc.org\", 123, 0.0], [\"security@golang.org\", 122, 0.0], [\"meissner@suse.de\", 121, 0.0], [\"vulnerabilities@zephyrproject.org\", 120, 0.0], [\"openssl-security@openssl.org\", 119, 0.0], [\"security@zyxel.com.tw\", 115, 0.0], [\"security@xen.org\", 115, 0.0], [\"CybersecurityCOE@eaton.com\", 113, 0.0], [\"PSIRT@rockwellautomation.com\", 108, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 107, 0.0], [\"security@acronis.com\", 105, 0.0], [\"psirt@bosch.com\", 101, 0.0], [\"cve@checkpoint.com\", 93, 0.0], [\"prodsec@splunk.com\", 92, 0.0], [\"disclosures@gallagher.com\", 91, 0.0], [\"jordan@liggitt.net\", 86, 0.0], [\"reefs@jfrog.com\", 85, 0.0], [\"product-cna@github.com\", 84, 0.0], [\"larry0@me.com\", 84, 0.0], [\"scy@openharmony.io\", 83, 0.0], [\"psirt@esri.com\", 83, 0.0], [\"security@progress.com\", 82, 0.0], [\"psirt@forcepoint.com\", 81, 0.0], [\"cvd@cert.pl\", 80, 0.0], [\"psirt@sick.de\", 80, 0.0], [\"security@odoo.com\", 79, 0.0], [\"cybersecurity@hitachienergy.com\", 79, 0.0], [\"vulnerability@ncsc.ch\", 75, 0.0], [\"prodsec@nozominetworks.com\", 72, 0.0], [\"security@puppet.com\", 72, 0.0], [\"productsecurity@jci.com\", 69, 0.0], [\"vuln@ca.com\", 68, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 68, 0.0], [\"securityalerts@avaya.com\", 67, 0.0], [\"vdisclose@cert-in.org.in\", 66, 0.0], [\"security@otrs.com\", 66, 0.0], [\"securities@openeuler.org\", 66, 0.0], [\"product-security@silabs.com\", 62, 0.0], [\"cna@mongodb.com\", 60, 0.0], [\"security@open-xchange.com\", 60, 0.0], [\"security@liferay.com\", 59, 0.0], [\"security@php.net\", 57, 0.0], [\"security@checkmk.com\", 57, 0.0], [\"security@devolutions.net\", 56, 0.0], [\"security@teradici.com\", 56, 0.0], [\"vdp@themissinglink.com.au\", 55, 0.0], [\"mlhess@drupal.org\", 54, 0.0], [\"security@octopus.com\", 54, 0.0], [\"csirt@divd.nl\", 53, 0.0], [\"security@sierrawireless.com\", 53, 0.0], [\"cna@cloudflare.com\", 52, 0.0], [\"secure@blackberry.com\", 51, 0.0], [\"cybersecurity@dahuatech.com\", 50, 0.0], [\"hirt@hitachi.co.jp\", 50, 0.0], [\"security@xiaomi.com\", 47, 0.0], [\"psirt@wdc.com\", 46, 0.0], [\"secure@citrix.com\", 46, 0.0], [\"security@hashicorp.com\", 46, 0.0], [\"cve-notifications-us@f-secure.com\", 46, 0.0], [\"security-alert@sophos.com\", 45, 0.0], [\"disclosure@synopsys.com\", 45, 0.0], [\"ecc0f906-8666-484c-bcf8-c3b7520a72f0\", 44, 0.0], [\"0fc0942c-577d-436f-ae8e-945763c79b02\", 44, 0.0], [\"info@starlabs.sg\", 44, 0.0], [\"security@zabbix.com\", 42, 0.0], [\"disclosure@vulncheck.com\", 42, 0.0], [\"security@selinc.com\", 41, 0.0], [\"cve@zscaler.com\", 41, 0.0], [\"psirt-info@cyber.jp.nec.com\", 41, 0.0], [\"VulnerabilityReporting@secomea.com\", 41, 0.0], [\"responsible-disclosure@pingidentity.com\", 39, 0.0], [\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", 38, 0.0], [\"psirt@moxa.com\", 37, 0.0], [\"psirt@honeywell.com\", 37, 0.0], [\"cve-coordination@palantir.com\", 37, 0.0], [\"sec@hillstonenet.com\", 37, 0.0], [\"disclosures@exodusintel.com\", 37, 0.0], [\"security@pandorafms.com\", 37, 0.0], [\"product-security@axis.com\", 36, 0.0], [\"security@m-files.com\", 36, 0.0], [\"biossecurity@ami.com\", 33, 0.0], [\"paddle-security@baidu.com\", 33, 0.0], [\"psirt@arista.com\", 32, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 31, 0.0], [\"3DS.Information-Security@3ds.com\", 30, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 30, 0.0], [\"security@documentfoundation.org\", 29, 0.0], [\"cve@aliasrobotics.com\", 29, 0.0], [\"arm-security@arm.com\", 29, 0.0], [\"cve@asrg.io\", 29, 0.0], [\"browser-security@yandex-team.ru\", 29, 0.0], [\"cert@ncsc.nl\", 28, 0.0], [\"product.security@lge.com\", 27, 0.0], [\"security@openvpn.net\", 26, 0.0], [\"office@cyberdanube.com\", 26, 0.0], [\"security@pega.com\", 26, 0.0], [\"vulnerability@cspcert.ph\", 25, 0.0], [\"contact@securifera.com\", 25, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 25, 0.0], [\"cve@navercorp.com\", 25, 0.0], [\"security@ni.com\", 24, 0.0], [\"security@vaadin.com\", 24, 0.0], [\"security@eset.com\", 24, 0.0], [\"security-report@netflix.com\", 23, 0.0], [\"security@proofpoint.com\", 23, 0.0], [\"xpdf@xpdfreader.com\", 23, 0.0], [\"cert@airbus.com\", 22, 0.0], [\"security@openanolis.org\", 22, 0.0], [\"infosec@edk2.groups.io\", 21, 0.0], [\"cybersecurity@bd.com\", 21, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 19, 0.0], [\"cve_disclosure@tech.gov.sg\", 18, 0.0], [\"cve-request@iojs.org\", 18, 0.0], [\"security@grafana.com\", 18, 0.0], [\"ART@zuso.ai\", 18, 0.0], [\"hsrc@hikvision.com\", 17, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 17, 0.0], [\"security@oppo.com\", 17, 0.0], [\"ot-cert@dragos.com\", 16, 0.0], [\"security@craftersoftware.com\", 16, 0.0], [\"sep@nlnetlabs.nl\", 15, 0.0], [\"3c1d8aa1-5a33-4ea4-8992-aadd6440af75\", 15, 0.0], [\"security@marklogic.com\", 15, 0.0], [\"security@hypr.com\", 15, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 14, 0.0], [\"security@opennms.com\", 14, 0.0], [\"cna@python.org\", 14, 0.0], [\"office@obdev.at\", 14, 0.0], [\"security@docker.com\", 13, 0.0], [\"df4dee71-de3a-4139-9588-11b62fe6c0ff\", 13, 0.0], [\"info@appcheck-ng.com\", 13, 0.0], [\"security@fidelissecurity.com\", 13, 0.0], [\"facts@wolfssl.com\", 13, 0.0], [\"ff5b8ace-8b95-4078-9743-eac1ca5451de\", 13, 0.0], [\"security@nortonlifelock.com\", 12, 0.0], [\"dl_cve@linecorp.com\", 12, 0.0], [\"security@snowsoftware.com\", 12, 0.0], [\"security@salesforce.com\", 12, 0.0], [\"cve@takeonme.org\", 12, 0.0], [\"430a6cef-dc26-47e3-9fa8-52fb7f19644e\", 12, 0.0], [\"security@yugabyte.com\", 12, 0.0], [\"product-security@gg.jp.panasonic.com\", 12, 0.0], [\"productsecurity@carrier.com\", 12, 0.0], [\"psirt@servicenow.com\", 12, 0.0], [\"vuln@vdoo.com\", 11, 0.0], [\"psirt@thalesgroup.com\", 11, 0.0], [\"disclose@cybersecurityworks.com\", 11, 0.0], [\"security@bluespice.com\", 11, 0.0], [\"security@knime.com\", 11, 0.0], [\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\", 11, 0.0], [\"psirt@forgerock.com\", 10, 0.0], [\"research@onekey.com\", 10, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 10, 0.0], [\"PSIRT@samsung.com\", 10, 0.0], [\"security@asustor.com\", 10, 0.0], [\"psirt@sailpoint.com\", 9, 0.0], [\"bugreport@qualys.com\", 9, 0.0], [\"2499f714-1537-4658-8207-48ae4bb9eae9\", 9, 0.0], [\"psirt@okta.com\", 9, 0.0], [\"cve@forums.swift.org\", 9, 0.0], [\"171caf72-b841-4e04-a68e-93493aff2b94\", 9, 0.0], [\"security@search-guard.com\", 9, 0.0], [\"bbf0bd87-ece2-41be-b873-96928ee8fab9\", 8, 0.0], [\"productsecurity@baxter.com\", 8, 0.0], [\"security@tcpdump.org\", 8, 0.0], [\"sirt@silver-peak.com\", 8, 0.0], [\"security@mautic.org\", 8, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 8, 0.0], [\"security@1e.com\", 7, 0.0], [\"a87f365f-9d39-4848-9b3a-58c7cae69cab\", 7, 0.0], [\"13061848-ea10-403d-bd75-c83a022c2891\", 7, 0.0], [\"mandiant-cve@google.com\", 7, 0.0], [\"psirt@purestorage.com\", 7, 0.0], [\"36c7be3b-2937-45df-85ea-ca7133ea542c\", 6, 0.0], [\"security@duo.com\", 6, 0.0], [\"ed10eef1-636d-4fbe-9993-6890dfa878f8\", 6, 0.0], [\"psirt@tigera.io\", 6, 0.0], [\"psirt@teamviewer.com\", 6, 0.0], [\"security@360.cn\", 6, 0.0], [\"cve-coordination@logitech.com\", 6, 0.0], [\"support@shopbeat.co.za\", 6, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 6, 0.0], [\"PSIRT@synaptics.com\", 5, 0.0], [\"psirt@mirantis.com\", 5, 0.0], [\"3ff69d7a-14f2-4f67-a097-88dee7810d18\", 5, 0.0], [\"46fe6300-5254-4a98-9594-a9567bec8179\", 5, 0.0], [\"2505284f-8ffb-486c-bf60-e19c1097a90b\", 5, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 5, 0.0], [\"psirt@netskope.com\", 5, 0.0], [\"907edf6c-bf03-423e-ab1a-8da27e1aa1ea\", 5, 0.0], [\"security@dotcms.com\", 5, 0.0], [\"22d9ba52-f336-4b0d-bf1f-0efbdcc3c1de\", 5, 0.0], [\"80f39f49-2521-4ee7-9e17-af5d55e8032f\", 5, 0.0], [\"security@baicells.com\", 5, 0.0], [\"596c5446-0ce5-4ba2-aa66-48b3b757a647\", 4, 0.0], [\"security@opera.com\", 4, 0.0], [\"security@vivo.com\", 4, 0.0], [\"41c37e40-543d-43a2-b660-2fee83ea851a\", 4, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 4, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 4, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 4, 0.0], [\"7bc73191-a2b6-4c63-9918-753964601853\", 4, 0.0], [\"a341c0d1-ebf7-493f-a84e-38cf86618674\", 3, 0.0], [\"security@medtronic.com\", 3, 0.0], [\"disclosures@halborn.com\", 3, 0.0], [\"security@42gears.com\", 3, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 3, 0.0], [\"85b1779b-6ecd-4f52-bcc5-73eac4659dcf\", 3, 0.0], [\"103e4ec9-0a87-450b-af77-479448ddef11\", 3, 0.0], [\"0a72a055-908d-47f5-a16a-1f09049c16c6\", 3, 0.0], [\"security@temporal.io\", 3, 0.0], [\"dc3f6da9-85b5-4a73-84a2-2ec90b40fca5\", 3, 0.0], [\"5d1c2695-1a31-4499-88ae-e847036fd7e3\", 3, 0.0], [\"a5532a13-c4dd-4202-bef1-e0b8f2f8d12b\", 3, 0.0], [\"1e3a9e0f-5156-4bf8-b8a3-cc311bfc0f4a\", 3, 0.0], [\"GEPowerCVD@ge.com\", 3, 0.0], [\"68870bb1-d075-4169-957d-e580b18692b9\", 2, 0.0], [\"cve@profelis.com.tr\", 2, 0.0], [\"d42dc95b-23f1-4e06-9076-20753a0fb0df\", 2, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 2, 0.0], [\"57dba5dd-1a03-47f6-8b36-e84e47d335d8\", 2, 0.0], [\"security.vulnerabilities@algosec.com\", 2, 0.0], [\"cves@blacklanternsecurity.com\", 2, 0.0], [\"info@cybellum.com\", 2, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 2, 0.0], [\"openbmc-security@lists.ozlabs.org\", 2, 0.0], [\"incident@nbu.gov.sk\", 2, 0.0], [\"20be33e2-bf35-4d13-8fad-18bd2f3e3659\", 1, 0.0], [\"cb7ba516-3b07-4c98-b0c2-715220f1a8f6\", 1, 0.0], [\"security@deepsurface.com\", 1, 0.0], [\"a6d3dc9e-0591-4a13-bce7-0f5b31ff6158\", 1, 0.0], [\"56c94bcb-ac34-4d7f-b660-d297a6b7ff82\", 1, 0.0], [\"67325c3f-c596-46c5-a235-e1a1e73abe4e\", 1, 0.0], [\"88ee5874-cf24-4952-aea0-31affedb7ff2\", 1, 0.0], [\"secure@ea.com\", 1, 0.0], [\"security@replicated.com\", 1, 0.0], [\"alibaba-cna@list.alibaba-inc.com\", 1, 0.0], [\"productsecurity@bbraun.com\", 1, 0.0], [\"security@genetec.com\", 1, 0.0], [\"security@opencloudos.tech\", 1, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 1, 0.0], [\"security@mimsoftware.com\", 1, 0.0], [\"security@illumio.com\", 1, 0.0], [\"96d4e157-0bf0-48b3-8efd-382c68caf4e0\", 1, 0.0], [\"info@greenrocketsecurity.com\", 1, 0.0], [\"36106deb-8e95-420b-a0a0-e70af5d245df\", 1, 0.0], [\"7bd90cf1-1651-495e-9ae8-9415fb3c9feb\", 1, 0.0], [\"655498c3-6ec5-4f0b-aea6-853b334d05a6\", 1, 0.0], [\"1d66c9f9-fff2-411a-aa19-ca6312fa25e9\", 1, 0.0], [\"b48c3b8f-639e-4c16-8725-497bc411dad0\", 1, 0.0], [\"4586e0a2-224d-4f8a-9cb4-8882b208c0b3\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 108663, 39.0], [\"secalert@redhat.com\", 11654, 4.0], [\"secure@microsoft.com\", 11374, 4.0], [\"audit@patchstack.com\", 8162, 3.0], [\"secalert_us@oracle.com\", 8133, 3.0], [\"security-advisories@github.com\", 7424, 3.0], [\"product-security@apple.com\", 7258, 3.0], [\"psirt@us.ibm.com\", 7099, 3.0], [\"psirt@adobe.com\", 6189, 2.0], [\"cna@vuldb.com\", 6039, 2.0], [\"psirt@cisco.com\", 5943, 2.0], [\"security@wordfence.com\", 5369, 2.0], [\"security@android.com\", 4870, 2.0], [\"416baaa9-dc9f-4396-8d5f-8c081fb06d67\", 4682, 2.0], [\"contact@wpscan.com\", 3675, 1.0], [\"secure@intel.com\", 3596, 1.0], [\"chrome-cve-admin@google.com\", 3412, 1.0], [\"product-security@qualcomm.com\", 3351, 1.0], [\"cret@cert.org\", 3248, 1.0], [\"ics-cert@hq.dhs.gov\", 3201, 1.0], [\"vultures@jpcert.or.jp\", 2795, 1.0], [\"zdi-disclosures@trendmicro.com\", 2734, 1.0], [\"talos-cna@cisco.com\", 2339, 1.0], [\"security@mozilla.org\", 2087, 1.0], [\"security@huntr.dev\", 2034, 1.0], [\"psirt@huawei.com\", 2012, 1.0], [\"security_alert@emc.com\", 1865, 1.0], [\"security@apache.org\", 1609, 1.0], [\"productcert@siemens.com\", 1505, 1.0], [\"support@hackerone.com\", 1483, 1.0], [\"security-alert@hpe.com\", 1381, 0.0], [\"jenkinsci-cert@googlegroups.com\", 1364, 0.0], [\"cna@sap.com\", 1325, 0.0], [\"mobile.security@samsung.com\", 1041, 0.0], [\"hp-security-alert@hp.com\", 920, 0.0], [\"sirt@juniper.net\", 875, 0.0], [\"cve@gitlab.com\", 874, 0.0], [\"report@snyk.io\", 813, 0.0], [\"f5sirt@f5.com\", 804, 0.0], [\"security@mediatek.com\", 799, 0.0], [\"security@debian.org\", 788, 0.0], [\"psirt@fortinet.com\", 751, 0.0], [\"psirt@nvidia.com\", 692, 0.0], [\"security@vmware.com\", 661, 0.0], [\"cybersecurity@se.com\", 656, 0.0], [\"twcert@cert.org.tw\", 640, 0.0], [\"security@opentext.com\", 636, 0.0], [\"security@unisoc.com\", 604, 0.0], [\"psirt@lenovo.com\", 575, 0.0], [\"cve-coordination@incibe.es\", 570, 0.0], [\"security@atlassian.com\", 517, 0.0], [\"vulnreport@tenable.com\", 501, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 501, 0.0], [\"info@cert.vde.com\", 482, 0.0], [\"security@trendmicro.com\", 445, 0.0], [\"security@ubuntu.com\", 442, 0.0], [\"psirt@amd.com\", 433, 0.0], [\"trellixpsirt@trellix.com\", 386, 0.0], [\"secure@symantec.com\", 359, 0.0], [\"security@qnapsecurity.com.tw\", 345, 0.0], [\"psirt@paloaltonetworks.com\", 333, 0.0], [\"iletisim@usom.gov.tr\", 329, 0.0], [\"help@fluidattacks.com\", 319, 0.0], [\"psirt@hcl.com\", 280, 0.0], [\"security@synology.com\", 252, 0.0], [\"psirt@autodesk.com\", 247, 0.0], [\"cve@rapid7.com\", 244, 0.0], [\"cve-coordination@google.com\", 242, 0.0], [\"patrick@puiterwijk.org\", 231, 0.0], [\"responsibledisclosure@mattermost.com\", 224, 0.0], [\"cna@cyber.gov.il\", 219, 0.0], [\"cve@jetbrains.com\", 209, 0.0], [\"secteam@freebsd.org\", 205, 0.0], [\"dsap-vuln-management@google.com\", 202, 0.0], [\"vuln@krcert.or.kr\", 196, 0.0], [\"vulnerabilitylab@mend.io\", 196, 0.0], [\"bressers@elastic.co\", 189, 0.0], [\"cybersecurity@ch.abb.com\", 175, 0.0], [\"josh@bress.net\", 174, 0.0], [\"security@tibco.com\", 172, 0.0], [\"psirt@zte.com.cn\", 171, 0.0], [\"security-alert@netapp.com\", 168, 0.0], [\"security@pivotal.io\", 160, 0.0], [\"security@zoom.us\", 159, 0.0], [\"cve-assign@fb.com\", 156, 0.0], [\"PSIRT@sonicwall.com\", 152, 0.0], [\"vulnerability@kaspersky.com\", 150, 0.0], [\"psirt@solarwinds.com\", 147, 0.0], [\"meissner@suse.de\", 145, 0.0], [\"prodsec@nozominetworks.com\", 144, 0.0], [\"sirt@brocade.com\", 144, 0.0], [\"PSIRT@rockwellautomation.com\", 142, 0.0], [\"emo@eclipse.org\", 141, 0.0], [\"cve-requests@bitdefender.com\", 138, 0.0], [\"security@acronis.com\", 136, 0.0], [\"mlhess@drupal.org\", 136, 0.0], [\"security@joomla.org\", 133, 0.0], [\"security@golang.org\", 133, 0.0], [\"vulnerabilities@zephyrproject.org\", 131, 0.0], [\"security@zyxel.com.tw\", 128, 0.0], [\"security-officer@isc.org\", 125, 0.0], [\"openssl-security@openssl.org\", 122, 0.0], [\"CybersecurityCOE@eaton.com\", 120, 0.0], [\"security@xen.org\", 120, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 115, 0.0], [\"security@progress.com\", 114, 0.0], [\"prodsec@splunk.com\", 110, 0.0], [\"psirt@bosch.com\", 102, 0.0], [\"scy@openharmony.io\", 98, 0.0], [\"cvd@cert.pl\", 98, 0.0], [\"psirt@esri.com\", 95, 0.0], [\"cve@checkpoint.com\", 94, 0.0], [\"vdisclose@cert-in.org.in\", 93, 0.0], [\"disclosures@gallagher.com\", 93, 0.0], [\"product-cna@github.com\", 93, 0.0], [\"3c1d8aa1-5a33-4ea4-8992-aadd6440af75\", 90, 0.0], [\"jordan@liggitt.net\", 89, 0.0], [\"psirt@sick.de\", 88, 0.0], [\"reefs@jfrog.com\", 87, 0.0], [\"vulnerability@ncsc.ch\", 86, 0.0], [\"larry0@me.com\", 84, 0.0], [\"cybersecurity@hitachienergy.com\", 83, 0.0], [\"product-security@silabs.com\", 82, 0.0], [\"psirt@forcepoint.com\", 81, 0.0], [\"security@puppet.com\", 79, 0.0], [\"security@odoo.com\", 79, 0.0], [\"security@otrs.com\", 70, 0.0], [\"productsecurity@jci.com\", 69, 0.0], [\"csirt@divd.nl\", 69, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 68, 0.0], [\"vuln@ca.com\", 68, 0.0], [\"securityalerts@avaya.com\", 67, 0.0], [\"security@devolutions.net\", 67, 0.0], [\"security@php.net\", 66, 0.0], [\"security@liferay.com\", 66, 0.0], [\"security@checkmk.com\", 66, 0.0], [\"securities@openeuler.org\", 66, 0.0], [\"cna@mongodb.com\", 63, 0.0], [\"secure@blackberry.com\", 61, 0.0], [\"security@open-xchange.com\", 61, 0.0], [\"security@hashicorp.com\", 57, 0.0], [\"security@octopus.com\", 56, 0.0], [\"security@zabbix.com\", 56, 0.0], [\"security@sierrawireless.com\", 56, 0.0], [\"security@teradici.com\", 56, 0.0], [\"vdp@themissinglink.com.au\", 55, 0.0], [\"cve@asrg.io\", 55, 0.0], [\"0fc0942c-577d-436f-ae8e-945763c79b02\", 55, 0.0], [\"cna@cloudflare.com\", 54, 0.0], [\"hirt@hitachi.co.jp\", 52, 0.0], [\"secure@citrix.com\", 50, 0.0], [\"cybersecurity@dahuatech.com\", 50, 0.0], [\"psirt@moxa.com\", 50, 0.0], [\"disclosure@vulncheck.com\", 50, 0.0], [\"security-alert@sophos.com\", 49, 0.0], [\"security@xiaomi.com\", 48, 0.0], [\"psirt-info@cyber.jp.nec.com\", 48, 0.0], [\"psirt@wdc.com\", 47, 0.0], [\"disclosure@synopsys.com\", 47, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 46, 0.0], [\"product-security@axis.com\", 46, 0.0], [\"cve-notifications-us@f-secure.com\", 46, 0.0], [\"psirt@arista.com\", 45, 0.0], [\"ecc0f906-8666-484c-bcf8-c3b7520a72f0\", 44, 0.0], [\"security@m-files.com\", 44, 0.0], [\"info@starlabs.sg\", 44, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 42, 0.0], [\"VulnerabilityReporting@secomea.com\", 42, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 42, 0.0], [\"cve@zscaler.com\", 41, 0.0], [\"security@selinc.com\", 41, 0.0], [\"responsible-disclosure@pingidentity.com\", 41, 0.0], [\"security@pandorafms.com\", 40, 0.0], [\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", 39, 0.0], [\"3DS.Information-Security@3ds.com\", 39, 0.0], [\"cve-coordination@palantir.com\", 39, 0.0], [\"biossecurity@ami.com\", 38, 0.0], [\"sec@hillstonenet.com\", 37, 0.0], [\"psirt@honeywell.com\", 37, 0.0], [\"disclosures@exodusintel.com\", 37, 0.0], [\"office@cyberdanube.com\", 36, 0.0], [\"arm-security@arm.com\", 36, 0.0], [\"paddle-security@baidu.com\", 33, 0.0], [\"security@documentfoundation.org\", 32, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 31, 0.0], [\"security@openvpn.net\", 30, 0.0], [\"browser-security@yandex-team.ru\", 29, 0.0], [\"security@ni.com\", 29, 0.0], [\"security@pega.com\", 29, 0.0], [\"cve@aliasrobotics.com\", 29, 0.0], [\"cert@ncsc.nl\", 28, 0.0], [\"security@eset.com\", 27, 0.0], [\"product.security@lge.com\", 27, 0.0], [\"cve@navercorp.com\", 26, 0.0], [\"security@grafana.com\", 26, 0.0], [\"contact@securifera.com\", 25, 0.0], [\"vulnerability@cspcert.ph\", 25, 0.0], [\"security-report@netflix.com\", 24, 0.0], [\"security@vaadin.com\", 24, 0.0], [\"security@proofpoint.com\", 23, 0.0], [\"xpdf@xpdfreader.com\", 23, 0.0], [\"cybersecurity@bd.com\", 22, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 22, 0.0], [\"ART@zuso.ai\", 22, 0.0], [\"cert@airbus.com\", 22, 0.0], [\"security@openanolis.org\", 22, 0.0], [\"infosec@edk2.groups.io\", 22, 0.0], [\"367425dc-4d06-4041-9650-c2dc6aaa27ce\", 21, 0.0], [\"security@mautic.org\", 21, 0.0], [\"hsrc@hikvision.com\", 20, 0.0], [\"security@oppo.com\", 19, 0.0], [\"sep@nlnetlabs.nl\", 19, 0.0], [\"df4dee71-de3a-4139-9588-11b62fe6c0ff\", 18, 0.0], [\"cve_disclosure@tech.gov.sg\", 18, 0.0], [\"cve-request@iojs.org\", 18, 0.0], [\"cna@python.org\", 18, 0.0], [\"security@craftersoftware.com\", 17, 0.0], [\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\", 17, 0.0], [\"ff5b8ace-8b95-4078-9743-eac1ca5451de\", 17, 0.0], [\"security@nortonlifelock.com\", 17, 0.0], [\"ot-cert@dragos.com\", 16, 0.0], [\"productsecurity@baxter.com\", 16, 0.0], [\"security@vivo.com\", 16, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 15, 0.0], [\"security@hypr.com\", 15, 0.0], [\"security@marklogic.com\", 15, 0.0], [\"psirt@servicenow.com\", 15, 0.0], [\"security@docker.com\", 15, 0.0], [\"ff89ba41-3aa1-4d27-914a-91399e9639e5\", 14, 0.0], [\"c4f26cc8-17ff-4c99-b5e2-38fc1793eacc\", 14, 0.0], [\"productsecurity@carrier.com\", 14, 0.0], [\"security@yugabyte.com\", 14, 0.0], [\"security@opennms.com\", 14, 0.0], [\"office@obdev.at\", 14, 0.0], [\"info@appcheck-ng.com\", 13, 0.0], [\"10b61619-3869-496c-8a1e-f291b0e71e3f\", 13, 0.0], [\"psirt@purestorage.com\", 13, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 13, 0.0], [\"facts@wolfssl.com\", 13, 0.0], [\"security@fidelissecurity.com\", 13, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 12, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 12, 0.0], [\"cve@takeonme.org\", 12, 0.0], [\"security@snowsoftware.com\", 12, 0.0], [\"psirt@okta.com\", 12, 0.0], [\"dl_cve@linecorp.com\", 12, 0.0], [\"security@salesforce.com\", 12, 0.0], [\"430a6cef-dc26-47e3-9fa8-52fb7f19644e\", 12, 0.0], [\"research@onekey.com\", 12, 0.0], [\"product-security@gg.jp.panasonic.com\", 12, 0.0], [\"disclose@cybersecurityworks.com\", 11, 0.0], [\"psirt@thalesgroup.com\", 11, 0.0], [\"vuln@vdoo.com\", 11, 0.0], [\"security@knime.com\", 11, 0.0], [\"dc3f6da9-85b5-4a73-84a2-2ec90b40fca5\", 11, 0.0], [\"security@bluespice.com\", 11, 0.0], [\"2499f714-1537-4658-8207-48ae4bb9eae9\", 11, 0.0], [\"psirt@forgerock.com\", 10, 0.0], [\"psirt@teamviewer.com\", 10, 0.0], [\"security@asustor.com\", 10, 0.0], [\"13061848-ea10-403d-bd75-c83a022c2891\", 10, 0.0], [\"psirt@sailpoint.com\", 10, 0.0], [\"PSIRT@samsung.com\", 10, 0.0], [\"907edf6c-bf03-423e-ab1a-8da27e1aa1ea\", 10, 0.0], [\"3f572a00-62e2-4423-959a-7ea25eff1638\", 10, 0.0], [\"cve@forums.swift.org\", 10, 0.0], [\"f946a70c-00eb-42ce-8e9b-634d1f7b5a6f\", 9, 0.0], [\"security@search-guard.com\", 9, 0.0], [\"36c7be3b-2937-45df-85ea-ca7133ea542c\", 9, 0.0], [\"171caf72-b841-4e04-a68e-93493aff2b94\", 9, 0.0], [\"bugreport@qualys.com\", 9, 0.0], [\"5d1c2695-1a31-4499-88ae-e847036fd7e3\", 8, 0.0], [\"bbf0bd87-ece2-41be-b873-96928ee8fab9\", 8, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 8, 0.0], [\"5fea7123-217b-4b2d-ada8-8892719b43cd\", 8, 0.0], [\"mandiant-cve@google.com\", 8, 0.0], [\"security@tcpdump.org\", 8, 0.0], [\"sirt@silver-peak.com\", 8, 0.0], [\"22d9ba52-f336-4b0d-bf1f-0efbdcc3c1de\", 7, 0.0], [\"80f39f49-2521-4ee7-9e17-af5d55e8032f\", 7, 0.0], [\"7bc73191-a2b6-4c63-9918-753964601853\", 7, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 7, 0.0], [\"security@1e.com\", 7, 0.0], [\"a87f365f-9d39-4848-9b3a-58c7cae69cab\", 7, 0.0], [\"psirt@netskope.com\", 6, 0.0], [\"support@shopbeat.co.za\", 6, 0.0], [\"103e4ec9-0a87-450b-af77-479448ddef11\", 6, 0.0], [\"85b1779b-6ecd-4f52-bcc5-73eac4659dcf\", 6, 0.0], [\"security@360.cn\", 6, 0.0], [\"security@duo.com\", 6, 0.0], [\"cve-coordination@logitech.com\", 6, 0.0], [\"psirt@tigera.io\", 6, 0.0], [\"41c37e40-543d-43a2-b660-2fee83ea851a\", 6, 0.0], [\"3ff69d7a-14f2-4f67-a097-88dee7810d18\", 6, 0.0], [\"a341c0d1-ebf7-493f-a84e-38cf86618674\", 6, 0.0], [\"ed10eef1-636d-4fbe-9993-6890dfa878f8\", 6, 0.0], [\"2505284f-8ffb-486c-bf60-e19c1097a90b\", 5, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 5, 0.0], [\"psirt@mirantis.com\", 5, 0.0], [\"PSIRT@synaptics.com\", 5, 0.0], [\"54bf65a7-a193-42d2-b1ba-8e150d3c35e1\", 5, 0.0], [\"security@baicells.com\", 5, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 5, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 5, 0.0], [\"security@dotcms.com\", 5, 0.0], [\"46fe6300-5254-4a98-9594-a9567bec8179\", 5, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 4, 0.0], [\"security@opera.com\", 4, 0.0], [\"596c5446-0ce5-4ba2-aa66-48b3b757a647\", 4, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 4, 0.0], [\"0a72a055-908d-47f5-a16a-1f09049c16c6\", 4, 0.0], [\"1e3a9e0f-5156-4bf8-b8a3-cc311bfc0f4a\", 3, 0.0], [\"disclosures@halborn.com\", 3, 0.0], [\"security@42gears.com\", 3, 0.0], [\"security@temporal.io\", 3, 0.0], [\"GEPowerCVD@ge.com\", 3, 0.0], [\"b48c3b8f-639e-4c16-8725-497bc411dad0\", 3, 0.0], [\"a5532a13-c4dd-4202-bef1-e0b8f2f8d12b\", 3, 0.0], [\"68870bb1-d075-4169-957d-e580b18692b9\", 3, 0.0], [\"security@medtronic.com\", 3, 0.0], [\"1443cd92-d354-46d2-9290-d812316ca43a\", 2, 0.0], [\"cves@blacklanternsecurity.com\", 2, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 2, 0.0], [\"a6d3dc9e-0591-4a13-bce7-0f5b31ff6158\", 2, 0.0], [\"cf45122d-9d50-442a-9b23-e05cde9943d8\", 2, 0.0], [\"a14582b7-06f4-4d66-8e82-3d7ba3739e88\", 2, 0.0], [\"655498c3-6ec5-4f0b-aea6-853b334d05a6\", 2, 0.0], [\"info@cybellum.com\", 2, 0.0], [\"security@replicated.com\", 2, 0.0], [\"cve@profelis.com.tr\", 2, 0.0], [\"4586e0a2-224d-4f8a-9cb4-8882b208c0b3\", 2, 0.0], [\"openbmc-security@lists.ozlabs.org\", 2, 0.0], [\"96148269-fe82-4198-b1bf-3a73ce8bc92e\", 2, 0.0], [\"87c8e6ad-f0f5-4ca8-89e2-89f26d6ed932\", 2, 0.0], [\"b7efe717-a805-47cf-8e9a-921fca0ce0ce\", 2, 0.0], [\"bba440f9-ef23-4224-aa62-7ac0935d18d1\", 2, 0.0], [\"security.vulnerabilities@algosec.com\", 2, 0.0], [\"d42dc95b-23f1-4e06-9076-20753a0fb0df\", 2, 0.0], [\"security@genetec.com\", 2, 0.0], [\"incident@nbu.gov.sk\", 2, 0.0], [\"67325c3f-c596-46c5-a235-e1a1e73abe4e\", 2, 0.0], [\"57dba5dd-1a03-47f6-8b36-e84e47d335d8\", 2, 0.0], [\"alibaba-cna@list.alibaba-inc.com\", 1, 0.0], [\"1d66c9f9-fff2-411a-aa19-ca6312fa25e9\", 1, 0.0], [\"secure@ea.com\", 1, 0.0], [\"security@deepsurface.com\", 1, 0.0], [\"9947ef80-c5d5-474a-bbab-97341a59000e\", 1, 0.0], [\"33c584b5-0579-4c06-b2a0-8d8329fcab9c\", 1, 0.0], [\"security@mimsoftware.com\", 1, 0.0], [\"info@greenrocketsecurity.com\", 1, 0.0], [\"security@illumio.com\", 1, 0.0], [\"security@opencloudos.tech\", 1, 0.0], [\"productsecurity@bbraun.com\", 1, 0.0], [\"7bd90cf1-1651-495e-9ae8-9415fb3c9feb\", 1, 0.0], [\"96d4e157-0bf0-48b3-8efd-382c68caf4e0\", 1, 0.0], [\"36106deb-8e95-420b-a0a0-e70af5d245df\", 1, 0.0], [\"56c94bcb-ac34-4d7f-b660-d297a6b7ff82\", 1, 0.0], [\"20be33e2-bf35-4d13-8fad-18bd2f3e3659\", 1, 0.0], [\"cb7ba516-3b07-4c98-b0c2-715220f1a8f6\", 1, 0.0], [\"88ee5874-cf24-4952-aea0-31affedb7ff2\", 1, 0.0], [\"001d69cf-3fc9-4203-93fb-9865b54e05b2\", 1, 0.0], [\"db4dfee8-a97e-4877-bfae-eba6d14a2166\", 1, 0.0], [\"3ad20294-822c-4ebc-9301-f9a7cf62d46e\", 1, 0.0], [\"5cdcf916-2b10-4ec8-bfc1-d054821e439e\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -829,10 +827,10 @@
    "id": "91304fc7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:02.760981Z",
-     "iopub.status.busy": "2024-09-13T08:21:02.760678Z",
-     "iopub.status.idle": "2024-09-13T08:21:02.767836Z",
-     "shell.execute_reply": "2024-09-13T08:21:02.767384Z"
+     "iopub.execute_input": "2025-02-02T04:19:36.266181Z",
+     "iopub.status.busy": "2025-02-02T04:19:36.266016Z",
+     "iopub.status.idle": "2025-02-02T04:19:36.272928Z",
+     "shell.execute_reply": "2025-02-02T04:19:36.272465Z"
     },
     "tags": [
      "remove-input"
@@ -842,7 +840,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_57eb3d2e_94fb_4856_9f4c_0312017b2e27\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_4a0be14f_e1dc_442f_892f_4a5cb99f925e\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -851,7 +849,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -942,24 +939,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_4a0be14f_e1dc_442f_892f_4a5cb99f925e:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_57eb3d2e_94fb_4856_9f4c_0312017b2e27:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"NVD-CWE-Other\", 28847], [\"CWE-79\", 28616], [\"NVD-CWE-noinfo\", 27971], [\"Missing_Data\", 21346], [\"CWE-89\", 12373], [\"CWE-119\", 11545], [\"CWE-787\", 9825], [\"CWE-20\", 9399], [\"CWE-200\", 7078], [\"CWE-22\", 6229], [\"CWE-125\", 6076], [\"CWE-352\", 5991], [\"CWE-264\", 5130], [\"CWE-416\", 4345], [\"CWE-78\", 3590], [\"CWE-94\", 3332], [\"CWE-287\", 3270], [\"CWE-862\", 2676], [\"CWE-476\", 2614], [\"CWE-399\", 2491], [\"CWE-310\", 2405], [\"CWE-434\", 2401], [\"CWE-120\", 2284], [\"CWE-190\", 2275], [\"CWE-77\", 1634], [\"CWE-269\", 1611], [\"CWE-400\", 1481], [\"CWE-362\", 1435], [\"CWE-284\", 1394], [\"CWE-863\", 1355], [\"CWE-502\", 1320], [\"CWE-798\", 1208], [\"CWE-189\", 1199], [\"CWE-732\", 1174], [\"CWE-918\", 1153], [\"CWE-306\", 1085], [\"CWE-59\", 1045], [\"CWE-295\", 992], [\"CWE-611\", 992], [\"CWE-601\", 974], [\"CWE-522\", 911], [\"CWE-276\", 902], [\"CWE-74\", 877], [\"CWE-121\", 830], [\"CWE-770\", 762], [\"CWE-532\", 736], [\"CWE-427\", 711], [\"CWE-255\", 705], [\"CWE-401\", 652], [\"CWE-668\", 605], [\"CWE-319\", 587], [\"CWE-835\", 559], [\"CWE-639\", 556], [\"CWE-312\", 528], [\"CWE-203\", 516], [\"CWE-415\", 472], [\"CWE-426\", 459], [\"CWE-755\", 456], [\"CWE-617\", 439], [\"CWE-327\", 432], [\"CWE-122\", 423], [\"CWE-772\", 392], [\"CWE-843\", 390], [\"CWE-347\", 384], [\"CWE-254\", 382], [\"CWE-345\", 354], [\"CWE-307\", 347], [\"CWE-326\", 344], [\"CWE-1321\", 338], [\"CWE-908\", 332], [\"CWE-134\", 329], [\"CWE-209\", 326], [\"CWE-129\", 325], [\"CWE-754\", 316], [\"CWE-613\", 305], [\"CWE-367\", 304], [\"CWE-369\", 303], [\"CWE-404\", 289], [\"CWE-330\", 288], [\"CWE-384\", 283], [\"CWE-665\", 279], [\"CWE-311\", 277], [\"CWE-1021\", 272], [\"CWE-16\", 260], [\"CWE-552\", 259], [\"CWE-290\", 252], [\"CWE-674\", 240], [\"CWE-346\", 236], [\"CWE-1333\", 228], [\"CWE-19\", 221], [\"CWE-1236\", 218], [\"CWE-116\", 217], [\"CWE-704\", 214], [\"CWE-667\", 207], [\"CWE-824\", 203], [\"CWE-88\", 202], [\"CWE-191\", 200], [\"CWE-444\", 200], [\"CWE-281\", 196], [\"CWE-428\", 183], [\"CWE-521\", 177], [\"CWE-17\", 165], [\"CWE-917\", 163], [\"CWE-285\", 162], [\"CWE-425\", 160], [\"CWE-1188\", 158], [\"CWE-610\", 155], [\"CWE-640\", 154], [\"CWE-294\", 136], [\"CWE-922\", 126], [\"CWE-1284\", 121], [\"CWE-829\", 110], [\"CWE-193\", 109], [\"CWE-697\", 108], [\"CWE-459\", 107], [\"CWE-252\", 107], [\"CWE-494\", 104], [\"CWE-354\", 103], [\"CWE-131\", 94], [\"CWE-682\", 92], [\"CWE-338\", 91], [\"CWE-91\", 81], [\"CWE-834\", 78], [\"CWE-916\", 76], [\"CWE-693\", 74], [\"CWE-670\", 71], [\"CWE-909\", 71], [\"CWE-681\", 70], [\"CWE-331\", 69], [\"CWE-212\", 66], [\"CWE-275\", 66], [\"CWE-80\", 63], [\"CWE-763\", 62], [\"CWE-436\", 61], [\"CWE-707\", 57], [\"CWE-126\", 57], [\"CWE-776\", 56], [\"CWE-266\", 52], [\"CWE-706\", 51], [\"CWE-669\", 50], [\"CWE-662\", 49], [\"CWE-250\", 48], [\"CWE-73\", 47], [\"CWE-749\", 46], [\"CWE-288\", 46], [\"CWE-913\", 43], [\"CWE-93\", 43], 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+       "        const data = [[\"CWE-79\", 32405], [\"NVD-CWE-Other\", 27282], [\"NVD-CWE-noinfo\", 25861], [\"Missing_Data\", 19908], [\"CWE-89\", 13215], [\"CWE-119\", 11663], [\"CWE-20\", 10529], [\"CWE-787\", 8765], [\"CWE-200\", 8066], [\"CWE-352\", 6574], [\"CWE-125\", 6469], [\"CWE-22\", 6367], [\"CWE-264\", 5335], [\"CWE-416\", 4995], [\"CWE-78\", 3779], [\"CWE-862\", 3713], [\"CWE-94\", 3636], [\"CWE-476\", 3225], [\"CWE-287\", 3197], [\"CWE-120\", 2779], [\"CWE-399\", 2638], [\"CWE-434\", 2601], [\"CWE-284\", 2524], [\"CWE-190\", 2368], [\"CWE-310\", 2293], [\"CWE-77\", 1935], [\"CWE-400\", 1875], [\"CWE-269\", 1661], [\"CWE-121\", 1640], [\"CWE-502\", 1489], [\"CWE-362\", 1438], [\"CWE-863\", 1397], [\"CWE-918\", 1265], [\"CWE-122\", 1245], [\"CWE-74\", 1223], [\"CWE-189\", 1197], [\"CWE-306\", 1140], [\"CWE-59\", 1134], [\"CWE-732\", 1129], [\"CWE-798\", 1119], [\"CWE-611\", 1050], [\"CWE-601\", 1038], [\"CWE-276\", 1006], [\"CWE-295\", 992], [\"CWE-522\", 852], 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        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1001,10 +997,10 @@
    "id": "a6fe65a3-4607-4388-ab0b-6df705e5ba50",
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-09-13T08:21:02.769591Z",
-     "iopub.status.idle": "2024-09-13T08:21:02.776068Z",
-     "shell.execute_reply": "2024-09-13T08:21:02.775522Z"
+     "iopub.execute_input": "2025-02-02T04:19:36.274766Z",
+     "iopub.status.busy": "2025-02-02T04:19:36.274424Z",
+     "iopub.status.idle": "2025-02-02T04:19:36.280630Z",
+     "shell.execute_reply": "2025-02-02T04:19:36.280166Z"
     },
     "tags": [
      "remove-input"
@@ -1014,7 +1010,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_2bea9a79_5f31_4c42_ae9f_ab47270efa35\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_41d2f00c_7ed9_4bd1_a2de_448851a18bdd\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
@@ -1026,7 +1022,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -1117,24 +1112,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_41d2f00c_7ed9_4bd1_a2de_448851a18bdd:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_2bea9a79_5f31_4c42_ae9f_ab47270efa35:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"1988\", 2], [\"1989\", 3], [\"1990\", 11], [\"1991\", 15], [\"1992\", 14], [\"1993\", 13], [\"1994\", 26], [\"1995\", 25], [\"1996\", 75], [\"1997\", 253], [\"1998\", 247], [\"1999\", 923], [\"2000\", 1020], [\"2001\", 1679], [\"2002\", 2170], [\"2003\", 1548], [\"2004\", 2479], [\"2005\", 5010], [\"2006\", 6659], [\"2007\", 6596], [\"2008\", 5664], [\"2009\", 5778], [\"2010\", 4667], [\"2011\", 4172], [\"2012\", 5351], [\"2013\", 5324], [\"2014\", 8008], [\"2015\", 6595], [\"2016\", 6517], [\"2017\", 18113], [\"2018\", 18154], [\"2019\", 18938], [\"2020\", 19222], [\"2021\", 21950], [\"2022\", 26431], [\"2023\", 30949], [\"2024\", 28155]];\n",
+       "        const data = [[\"1988\", 2], [\"1989\", 3], [\"1990\", 11], [\"1991\", 15], [\"1992\", 14], [\"1993\", 13], [\"1994\", 26], [\"1995\", 25], [\"1996\", 75], [\"1997\", 253], [\"1998\", 247], [\"1999\", 923], [\"2000\", 1020], [\"2001\", 1679], [\"2002\", 2170], [\"2003\", 1548], [\"2004\", 2479], [\"2005\", 5010], [\"2006\", 6659], [\"2007\", 6596], [\"2008\", 5664], [\"2009\", 5778], [\"2010\", 4667], [\"2011\", 4172], [\"2012\", 5351], [\"2013\", 5324], [\"2014\", 8008], [\"2015\", 6595], [\"2016\", 6517], [\"2017\", 18113], [\"2018\", 18154], [\"2019\", 18938], [\"2020\", 19222], [\"2021\", 21950], [\"2022\", 26431], [\"2023\", 30949], [\"2024\", 40704], [\"2025\", 4454]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"600px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"600px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -1178,10 +1172,10 @@
    "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:02.778352Z",
-     "iopub.status.busy": "2024-09-13T08:21:02.777933Z",
-     "iopub.status.idle": "2024-09-13T08:21:05.595863Z",
-     "shell.execute_reply": "2024-09-13T08:21:05.595227Z"
+     "iopub.execute_input": "2025-02-02T04:19:36.282377Z",
+     "iopub.status.busy": "2025-02-02T04:19:36.282104Z",
+     "iopub.status.idle": "2025-02-02T04:19:39.366884Z",
+     "shell.execute_reply": "2025-02-02T04:19:39.366285Z"
     },
     "tags": [
      "remove-input"
@@ -1201,7 +1195,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CVE-2002:\t2392\n",
+      "CVE-2002:\t2393\n",
       "CVE-2003:\t1553\n",
       "CVE-2004:\t2707\n"
      ]
@@ -1210,7 +1204,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CVE-2005:\t4766\n",
+      "CVE-2005:\t4767\n",
       "CVE-2006:\t7142\n",
       "CVE-2007:\t6580\n"
      ]
@@ -1229,7 +1223,7 @@
      "output_type": "stream",
      "text": [
       "CVE-2011:\t4861\n",
-      "CVE-2012:\t5892\n",
+      "CVE-2012:\t5893\n",
       "CVE-2013:\t6780\n"
      ]
     },
@@ -1238,34 +1232,40 @@
      "output_type": "stream",
      "text": [
       "CVE-2014:\t8982\n",
-      "CVE-2015:\t8747\n",
-      "CVE-2016:\t10550\n"
+      "CVE-2015:\t8748\n",
+      "CVE-2016:\t10555\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2017:\t17014\n",
+      "CVE-2018:\t17475\n",
+      "CVE-2019:\t17020\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CVE-2017:\t16985\n",
-      "CVE-2018:\t17352\n",
-      "CVE-2019:\t16999\n"
+      "CVE-2020:\t20580\n",
+      "CVE-2021:\t22994\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CVE-2020:\t20496\n",
-      "CVE-2021:\t22898\n",
-      "CVE-2022:\t25075\n"
+      "CVE-2022:\t25311\n",
+      "CVE-2023:\t29284\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CVE-2023:\t28601\n",
-      "CVE-2024:\t21588\n"
+      "CVE-2024:\t35430\n"
      ]
     }
    ],
@@ -1304,10 +1304,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:21:05.598650Z",
-     "iopub.status.busy": "2024-09-13T08:21:05.598465Z",
-     "iopub.status.idle": "2024-09-13T08:21:05.602633Z",
-     "shell.execute_reply": "2024-09-13T08:21:05.602179Z"
+     "iopub.execute_input": "2025-02-02T04:19:39.368910Z",
+     "iopub.status.busy": "2025-02-02T04:19:39.368560Z",
+     "iopub.status.idle": "2025-02-02T04:19:39.372560Z",
+     "shell.execute_reply": "2025-02-02T04:19:39.371991Z"
     },
     "tags": [
      "remove-input"
@@ -1317,7 +1317,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:21:05.599359**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:19:39.369628**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1349,7 +1349,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVECNA.ipynb b/CVECNA.ipynb
index 9264bee6b1..4d2baf5b53 100755
--- a/CVECNA.ipynb
+++ b/CVECNA.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:21.214668Z",
-     "iopub.status.busy": "2024-09-13T08:30:21.214495Z",
-     "iopub.status.idle": "2024-09-13T08:30:21.867462Z",
-     "shell.execute_reply": "2024-09-13T08:30:21.866958Z"
+     "iopub.execute_input": "2025-02-02T04:33:38.558126Z",
+     "iopub.status.busy": "2025-02-02T04:33:38.557670Z",
+     "iopub.status.idle": "2025-02-02T04:33:39.201804Z",
+     "shell.execute_reply": "2025-02-02T04:33:39.201187Z"
     },
     "tags": [
      "remove-cell"
@@ -101,10 +101,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:21.869810Z",
-     "iopub.status.busy": "2024-09-13T08:30:21.869568Z",
-     "iopub.status.idle": "2024-09-13T08:30:42.051940Z",
-     "shell.execute_reply": "2024-09-13T08:30:42.051264Z"
+     "iopub.execute_input": "2025-02-02T04:33:39.203924Z",
+     "iopub.status.busy": "2025-02-02T04:33:39.203601Z",
+     "iopub.status.idle": "2025-02-02T04:34:03.530808Z",
+     "shell.execute_reply": "2025-02-02T04:34:03.530211Z"
     },
     "tags": [
      "remove-cell"
@@ -239,10 +239,10 @@
    "id": "96ff98c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:42.054575Z",
-     "iopub.status.busy": "2024-09-13T08:30:42.054269Z",
-     "iopub.status.idle": "2024-09-13T08:30:42.390192Z",
-     "shell.execute_reply": "2024-09-13T08:30:42.389572Z"
+     "iopub.execute_input": "2025-02-02T04:34:03.532895Z",
+     "iopub.status.busy": "2025-02-02T04:34:03.532709Z",
+     "iopub.status.idle": "2025-02-02T04:34:03.864516Z",
+     "shell.execute_reply": "2025-02-02T04:34:03.863888Z"
     },
     "tags": [
      "remove-input"
@@ -251,7 +251,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -282,10 +282,10 @@
    "id": "bd16e9ab",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:42.392586Z",
-     "iopub.status.busy": "2024-09-13T08:30:42.392223Z",
-     "iopub.status.idle": "2024-09-13T08:30:42.608387Z",
-     "shell.execute_reply": "2024-09-13T08:30:42.607668Z"
+     "iopub.execute_input": "2025-02-02T04:34:03.866583Z",
+     "iopub.status.busy": "2025-02-02T04:34:03.866164Z",
+     "iopub.status.idle": "2025-02-02T04:34:04.085508Z",
+     "shell.execute_reply": "2025-02-02T04:34:04.084910Z"
     },
     "tags": [
      "remove-input"
@@ -294,7 +294,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -331,10 +331,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:42.610865Z",
-     "iopub.status.busy": "2024-09-13T08:30:42.610567Z",
-     "iopub.status.idle": "2024-09-13T08:30:42.624651Z",
-     "shell.execute_reply": "2024-09-13T08:30:42.624073Z"
+     "iopub.execute_input": "2025-02-02T04:34:04.087675Z",
+     "iopub.status.busy": "2025-02-02T04:34:04.087277Z",
+     "iopub.status.idle": "2025-02-02T04:34:04.107676Z",
+     "shell.execute_reply": "2025-02-02T04:34:04.107149Z"
     },
     "tags": [
      "remove-input"
@@ -344,7 +344,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_083bf305_df15_44e3_8ae3_18654cadafb7\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_3db5a12f_094c_480f_99d7_967c01863e98\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -354,7 +354,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -445,24 +444,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_3db5a12f_094c_480f_99d7_967c01863e98:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_083bf305_df15_44e3_8ae3_18654cadafb7:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"cve@mitre.org\", 106417, 41.0], [\"secalert@redhat.com\", 11541, 4.0], [\"secure@microsoft.com\", 10902, 4.0], [\"secalert_us@oracle.com\", 7957, 3.0], [\"product-security@apple.com\", 6912, 3.0], [\"psirt@us.ibm.com\", 6873, 3.0], [\"security-advisories@github.com\", 6528, 2.0], [\"psirt@adobe.com\", 5865, 2.0], [\"ykramarz@cisco.com\", 5722, 2.0], [\"audit@patchstack.com\", 5161, 2.0], [\"cna@vuldb.com\", 4957, 2.0], [\"security@android.com\", 4667, 2.0], [\"security@wordfence.com\", 3559, 1.0], [\"contact@wpscan.com\", 3499, 1.0], [\"secure@intel.com\", 3493, 1.0], [\"chrome-cve-admin@google.com\", 3332, 1.0], [\"product-security@qualcomm.com\", 3261, 1.0], [\"cret@cert.org\", 3243, 1.0], [\"cve@kernel.org\", 3208, 1.0], [\"ics-cert@hq.dhs.gov\", 3072, 1.0], [\"vultures@jpcert.or.jp\", 2699, 1.0], [\"zdi-disclosures@trendmicro.com\", 2381, 1.0], [\"talos-cna@cisco.com\", 2228, 1.0], [\"security@mozilla.org\", 2020, 1.0], [\"security@huntr.dev\", 1964, 1.0], [\"psirt@huawei.com\", 1902, 1.0], [\"security_alert@emc.com\", 1793, 1.0], [\"security@apache.org\", 1526, 1.0], [\"productcert@siemens.com\", 1422, 1.0], [\"support@hackerone.com\", 1420, 1.0], [\"jenkinsci-cert@googlegroups.com\", 1344, 1.0], [\"security-alert@hpe.com\", 1342, 1.0], [\"cna@sap.com\", 1287, 0.0], [\"mobile.security@samsung.com\", 998, 0.0], [\"hp-security-alert@hp.com\", 910, 0.0], [\"sirt@juniper.net\", 840, 0.0], [\"cve@gitlab.com\", 818, 0.0], [\"f5sirt@f5.com\", 801, 0.0], [\"security@debian.org\", 788, 0.0], [\"report@snyk.io\", 784, 0.0], [\"security@mediatek.com\", 738, 0.0], [\"psirt@fortinet.com\", 669, 0.0], [\"psirt@nvidia.com\", 660, 0.0], [\"cybersecurity@se.com\", 629, 0.0], [\"security@vmware.com\", 627, 0.0], [\"security@opentext.com\", 608, 0.0], [\"security@unisoc.com\", 594, 0.0], [\"twcert@cert.org.tw\", 544, 0.0], [\"psirt@lenovo.com\", 543, 0.0], [\"cve-coordination@incibe.es\", 512, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 499, 0.0], [\"vulnreport@tenable.com\", 494, 0.0], [\"info@cert.vde.com\", 458, 0.0], [\"security@atlassian.com\", 438, 0.0], [\"security@trendmicro.com\", 427, 0.0], [\"security@ubuntu.com\", 424, 0.0], [\"psirt@amd.com\", 422, 0.0], [\"trellixpsirt@trellix.com\", 380, 0.0], [\"secure@symantec.com\", 350, 0.0], [\"help@fluidattacks.com\", 318, 0.0], [\"psirt@paloaltonetworks.com\", 306, 0.0], [\"security@qnapsecurity.com.tw\", 297, 0.0], [\"iletisim@usom.gov.tr\", 274, 0.0], [\"psirt@hcl.com\", 243, 0.0], [\"security@synology.com\", 230, 0.0], [\"cve@rapid7.com\", 228, 0.0], [\"cve-coordination@google.com\", 222, 0.0], [\"psirt@autodesk.com\", 197, 0.0], [\"vulnerabilitylab@mend.io\", 196, 0.0], [\"cna@cyber.gov.il\", 196, 0.0], [\"vuln@krcert.or.kr\", 195, 0.0], [\"secteam@freebsd.org\", 194, 0.0], [\"patrick@puiterwijk.org\", 194, 0.0], [\"responsibledisclosure@mattermost.com\", 189, 0.0], [\"bressers@elastic.co\", 179, 0.0], [\"josh@bress.net\", 174, 0.0], [\"security@tibco.com\", 170, 0.0], [\"security-alert@netapp.com\", 167, 0.0], [\"psirt@zte.com.cn\", 165, 0.0], [\"cve@jetbrains.com\", 164, 0.0], [\"security@pivotal.io\", 160, 0.0], [\"cve-assign@fb.com\", 152, 0.0], [\"dsap-vuln-management@google.com\", 151, 0.0], [\"security@zoom.us\", 150, 0.0], [\"vulnerability@kaspersky.com\", 146, 0.0], [\"cybersecurity@ch.abb.com\", 141, 0.0], [\"psirt@solarwinds.com\", 140, 0.0], [\"sirt@brocade.com\", 136, 0.0], [\"PSIRT@sonicwall.com\", 133, 0.0], [\"emo@eclipse.org\", 131, 0.0], [\"cve-requests@bitdefender.com\", 130, 0.0], [\"security@joomla.org\", 127, 0.0], [\"security-officer@isc.org\", 123, 0.0], [\"security@golang.org\", 122, 0.0], [\"meissner@suse.de\", 121, 0.0], [\"vulnerabilities@zephyrproject.org\", 120, 0.0], [\"openssl-security@openssl.org\", 119, 0.0], [\"security@zyxel.com.tw\", 115, 0.0], [\"security@xen.org\", 115, 0.0], [\"CybersecurityCOE@eaton.com\", 113, 0.0], [\"PSIRT@rockwellautomation.com\", 108, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 107, 0.0], [\"security@acronis.com\", 105, 0.0], [\"psirt@bosch.com\", 101, 0.0], [\"cve@checkpoint.com\", 93, 0.0], [\"prodsec@splunk.com\", 92, 0.0], [\"disclosures@gallagher.com\", 91, 0.0], [\"jordan@liggitt.net\", 86, 0.0], [\"reefs@jfrog.com\", 85, 0.0], [\"product-cna@github.com\", 84, 0.0], [\"larry0@me.com\", 84, 0.0], [\"scy@openharmony.io\", 83, 0.0], [\"psirt@esri.com\", 83, 0.0], [\"security@progress.com\", 82, 0.0], [\"psirt@forcepoint.com\", 81, 0.0], [\"cvd@cert.pl\", 80, 0.0], [\"psirt@sick.de\", 80, 0.0], [\"security@odoo.com\", 79, 0.0], [\"cybersecurity@hitachienergy.com\", 79, 0.0], [\"vulnerability@ncsc.ch\", 75, 0.0], [\"prodsec@nozominetworks.com\", 72, 0.0], [\"security@puppet.com\", 72, 0.0], [\"productsecurity@jci.com\", 69, 0.0], [\"vuln@ca.com\", 68, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 68, 0.0], [\"securityalerts@avaya.com\", 67, 0.0], [\"vdisclose@cert-in.org.in\", 66, 0.0], [\"security@otrs.com\", 66, 0.0], [\"securities@openeuler.org\", 66, 0.0], [\"product-security@silabs.com\", 62, 0.0], [\"cna@mongodb.com\", 60, 0.0], [\"security@open-xchange.com\", 60, 0.0], [\"security@liferay.com\", 59, 0.0], [\"security@php.net\", 57, 0.0], [\"security@checkmk.com\", 57, 0.0], [\"security@devolutions.net\", 56, 0.0], [\"security@teradici.com\", 56, 0.0], [\"vdp@themissinglink.com.au\", 55, 0.0], [\"mlhess@drupal.org\", 54, 0.0], [\"security@octopus.com\", 54, 0.0], [\"csirt@divd.nl\", 53, 0.0], [\"security@sierrawireless.com\", 53, 0.0], [\"cna@cloudflare.com\", 52, 0.0], [\"secure@blackberry.com\", 51, 0.0], [\"cybersecurity@dahuatech.com\", 50, 0.0], [\"hirt@hitachi.co.jp\", 50, 0.0], [\"security@xiaomi.com\", 47, 0.0], [\"psirt@wdc.com\", 46, 0.0], [\"secure@citrix.com\", 46, 0.0], [\"security@hashicorp.com\", 46, 0.0], [\"cve-notifications-us@f-secure.com\", 46, 0.0], [\"security-alert@sophos.com\", 45, 0.0], [\"disclosure@synopsys.com\", 45, 0.0], [\"ecc0f906-8666-484c-bcf8-c3b7520a72f0\", 44, 0.0], [\"0fc0942c-577d-436f-ae8e-945763c79b02\", 44, 0.0], [\"info@starlabs.sg\", 44, 0.0], [\"security@zabbix.com\", 42, 0.0], [\"disclosure@vulncheck.com\", 42, 0.0], [\"security@selinc.com\", 41, 0.0], [\"cve@zscaler.com\", 41, 0.0], [\"psirt-info@cyber.jp.nec.com\", 41, 0.0], [\"VulnerabilityReporting@secomea.com\", 41, 0.0], [\"responsible-disclosure@pingidentity.com\", 39, 0.0], [\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", 38, 0.0], [\"psirt@moxa.com\", 37, 0.0], [\"psirt@honeywell.com\", 37, 0.0], [\"cve-coordination@palantir.com\", 37, 0.0], [\"sec@hillstonenet.com\", 37, 0.0], [\"disclosures@exodusintel.com\", 37, 0.0], [\"security@pandorafms.com\", 37, 0.0], [\"product-security@axis.com\", 36, 0.0], [\"security@m-files.com\", 36, 0.0], [\"biossecurity@ami.com\", 33, 0.0], [\"paddle-security@baidu.com\", 33, 0.0], [\"psirt@arista.com\", 32, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 31, 0.0], [\"3DS.Information-Security@3ds.com\", 30, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 30, 0.0], [\"security@documentfoundation.org\", 29, 0.0], [\"cve@aliasrobotics.com\", 29, 0.0], [\"arm-security@arm.com\", 29, 0.0], [\"cve@asrg.io\", 29, 0.0], [\"browser-security@yandex-team.ru\", 29, 0.0], [\"cert@ncsc.nl\", 28, 0.0], [\"product.security@lge.com\", 27, 0.0], [\"security@openvpn.net\", 26, 0.0], [\"office@cyberdanube.com\", 26, 0.0], [\"security@pega.com\", 26, 0.0], [\"vulnerability@cspcert.ph\", 25, 0.0], [\"contact@securifera.com\", 25, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 25, 0.0], [\"cve@navercorp.com\", 25, 0.0], [\"security@ni.com\", 24, 0.0], [\"security@vaadin.com\", 24, 0.0], [\"security@eset.com\", 24, 0.0], [\"security-report@netflix.com\", 23, 0.0], [\"security@proofpoint.com\", 23, 0.0], [\"xpdf@xpdfreader.com\", 23, 0.0], [\"cert@airbus.com\", 22, 0.0], [\"security@openanolis.org\", 22, 0.0], [\"infosec@edk2.groups.io\", 21, 0.0], [\"cybersecurity@bd.com\", 21, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 19, 0.0], [\"cve_disclosure@tech.gov.sg\", 18, 0.0], [\"cve-request@iojs.org\", 18, 0.0], [\"security@grafana.com\", 18, 0.0], [\"ART@zuso.ai\", 18, 0.0], [\"hsrc@hikvision.com\", 17, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 17, 0.0], [\"security@oppo.com\", 17, 0.0], [\"ot-cert@dragos.com\", 16, 0.0], [\"security@craftersoftware.com\", 16, 0.0], [\"sep@nlnetlabs.nl\", 15, 0.0], [\"3c1d8aa1-5a33-4ea4-8992-aadd6440af75\", 15, 0.0], [\"security@marklogic.com\", 15, 0.0], [\"security@hypr.com\", 15, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 14, 0.0], [\"security@opennms.com\", 14, 0.0], [\"cna@python.org\", 14, 0.0], [\"office@obdev.at\", 14, 0.0], [\"security@docker.com\", 13, 0.0], [\"df4dee71-de3a-4139-9588-11b62fe6c0ff\", 13, 0.0], [\"info@appcheck-ng.com\", 13, 0.0], [\"security@fidelissecurity.com\", 13, 0.0], [\"facts@wolfssl.com\", 13, 0.0], [\"ff5b8ace-8b95-4078-9743-eac1ca5451de\", 13, 0.0], [\"security@nortonlifelock.com\", 12, 0.0], [\"dl_cve@linecorp.com\", 12, 0.0], [\"security@snowsoftware.com\", 12, 0.0], [\"security@salesforce.com\", 12, 0.0], [\"cve@takeonme.org\", 12, 0.0], [\"430a6cef-dc26-47e3-9fa8-52fb7f19644e\", 12, 0.0], [\"security@yugabyte.com\", 12, 0.0], [\"product-security@gg.jp.panasonic.com\", 12, 0.0], [\"productsecurity@carrier.com\", 12, 0.0], [\"psirt@servicenow.com\", 12, 0.0], [\"vuln@vdoo.com\", 11, 0.0], [\"psirt@thalesgroup.com\", 11, 0.0], [\"disclose@cybersecurityworks.com\", 11, 0.0], [\"security@bluespice.com\", 11, 0.0], [\"security@knime.com\", 11, 0.0], [\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\", 11, 0.0], [\"psirt@forgerock.com\", 10, 0.0], [\"research@onekey.com\", 10, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 10, 0.0], [\"PSIRT@samsung.com\", 10, 0.0], [\"security@asustor.com\", 10, 0.0], [\"psirt@sailpoint.com\", 9, 0.0], [\"bugreport@qualys.com\", 9, 0.0], [\"2499f714-1537-4658-8207-48ae4bb9eae9\", 9, 0.0], [\"psirt@okta.com\", 9, 0.0], [\"cve@forums.swift.org\", 9, 0.0], [\"171caf72-b841-4e04-a68e-93493aff2b94\", 9, 0.0], [\"security@search-guard.com\", 9, 0.0], [\"bbf0bd87-ece2-41be-b873-96928ee8fab9\", 8, 0.0], [\"productsecurity@baxter.com\", 8, 0.0], [\"security@tcpdump.org\", 8, 0.0], [\"sirt@silver-peak.com\", 8, 0.0], [\"security@mautic.org\", 8, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 8, 0.0], [\"security@1e.com\", 7, 0.0], [\"a87f365f-9d39-4848-9b3a-58c7cae69cab\", 7, 0.0], [\"13061848-ea10-403d-bd75-c83a022c2891\", 7, 0.0], [\"mandiant-cve@google.com\", 7, 0.0], [\"psirt@purestorage.com\", 7, 0.0], [\"36c7be3b-2937-45df-85ea-ca7133ea542c\", 6, 0.0], [\"security@duo.com\", 6, 0.0], [\"ed10eef1-636d-4fbe-9993-6890dfa878f8\", 6, 0.0], [\"psirt@tigera.io\", 6, 0.0], [\"psirt@teamviewer.com\", 6, 0.0], [\"security@360.cn\", 6, 0.0], [\"cve-coordination@logitech.com\", 6, 0.0], [\"support@shopbeat.co.za\", 6, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 6, 0.0], [\"PSIRT@synaptics.com\", 5, 0.0], [\"psirt@mirantis.com\", 5, 0.0], [\"3ff69d7a-14f2-4f67-a097-88dee7810d18\", 5, 0.0], [\"46fe6300-5254-4a98-9594-a9567bec8179\", 5, 0.0], [\"2505284f-8ffb-486c-bf60-e19c1097a90b\", 5, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 5, 0.0], [\"psirt@netskope.com\", 5, 0.0], [\"907edf6c-bf03-423e-ab1a-8da27e1aa1ea\", 5, 0.0], [\"security@dotcms.com\", 5, 0.0], [\"22d9ba52-f336-4b0d-bf1f-0efbdcc3c1de\", 5, 0.0], [\"80f39f49-2521-4ee7-9e17-af5d55e8032f\", 5, 0.0], [\"security@baicells.com\", 5, 0.0], [\"596c5446-0ce5-4ba2-aa66-48b3b757a647\", 4, 0.0], [\"security@opera.com\", 4, 0.0], [\"security@vivo.com\", 4, 0.0], [\"41c37e40-543d-43a2-b660-2fee83ea851a\", 4, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 4, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 4, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 4, 0.0], [\"7bc73191-a2b6-4c63-9918-753964601853\", 4, 0.0], [\"a341c0d1-ebf7-493f-a84e-38cf86618674\", 3, 0.0], [\"security@medtronic.com\", 3, 0.0], [\"disclosures@halborn.com\", 3, 0.0], [\"security@42gears.com\", 3, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 3, 0.0], [\"85b1779b-6ecd-4f52-bcc5-73eac4659dcf\", 3, 0.0], [\"103e4ec9-0a87-450b-af77-479448ddef11\", 3, 0.0], [\"0a72a055-908d-47f5-a16a-1f09049c16c6\", 3, 0.0], [\"security@temporal.io\", 3, 0.0], [\"dc3f6da9-85b5-4a73-84a2-2ec90b40fca5\", 3, 0.0], [\"5d1c2695-1a31-4499-88ae-e847036fd7e3\", 3, 0.0], [\"a5532a13-c4dd-4202-bef1-e0b8f2f8d12b\", 3, 0.0], [\"1e3a9e0f-5156-4bf8-b8a3-cc311bfc0f4a\", 3, 0.0], [\"GEPowerCVD@ge.com\", 3, 0.0], [\"68870bb1-d075-4169-957d-e580b18692b9\", 2, 0.0], [\"cve@profelis.com.tr\", 2, 0.0], [\"d42dc95b-23f1-4e06-9076-20753a0fb0df\", 2, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 2, 0.0], [\"57dba5dd-1a03-47f6-8b36-e84e47d335d8\", 2, 0.0], [\"security.vulnerabilities@algosec.com\", 2, 0.0], [\"cves@blacklanternsecurity.com\", 2, 0.0], [\"info@cybellum.com\", 2, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 2, 0.0], [\"openbmc-security@lists.ozlabs.org\", 2, 0.0], [\"incident@nbu.gov.sk\", 2, 0.0], [\"20be33e2-bf35-4d13-8fad-18bd2f3e3659\", 1, 0.0], [\"cb7ba516-3b07-4c98-b0c2-715220f1a8f6\", 1, 0.0], [\"security@deepsurface.com\", 1, 0.0], [\"a6d3dc9e-0591-4a13-bce7-0f5b31ff6158\", 1, 0.0], [\"56c94bcb-ac34-4d7f-b660-d297a6b7ff82\", 1, 0.0], [\"67325c3f-c596-46c5-a235-e1a1e73abe4e\", 1, 0.0], [\"88ee5874-cf24-4952-aea0-31affedb7ff2\", 1, 0.0], [\"secure@ea.com\", 1, 0.0], [\"security@replicated.com\", 1, 0.0], [\"alibaba-cna@list.alibaba-inc.com\", 1, 0.0], [\"productsecurity@bbraun.com\", 1, 0.0], [\"security@genetec.com\", 1, 0.0], [\"security@opencloudos.tech\", 1, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 1, 0.0], [\"security@mimsoftware.com\", 1, 0.0], [\"security@illumio.com\", 1, 0.0], [\"96d4e157-0bf0-48b3-8efd-382c68caf4e0\", 1, 0.0], [\"info@greenrocketsecurity.com\", 1, 0.0], [\"36106deb-8e95-420b-a0a0-e70af5d245df\", 1, 0.0], [\"7bd90cf1-1651-495e-9ae8-9415fb3c9feb\", 1, 0.0], [\"655498c3-6ec5-4f0b-aea6-853b334d05a6\", 1, 0.0], [\"1d66c9f9-fff2-411a-aa19-ca6312fa25e9\", 1, 0.0], [\"b48c3b8f-639e-4c16-8725-497bc411dad0\", 1, 0.0], [\"4586e0a2-224d-4f8a-9cb4-8882b208c0b3\", 1, 0.0]];\n",
+       "        const data = [[\"cve@mitre.org\", 108663, 39.0], [\"secalert@redhat.com\", 11654, 4.0], [\"secure@microsoft.com\", 11374, 4.0], [\"audit@patchstack.com\", 8162, 3.0], [\"secalert_us@oracle.com\", 8133, 3.0], [\"security-advisories@github.com\", 7424, 3.0], [\"product-security@apple.com\", 7258, 3.0], [\"psirt@us.ibm.com\", 7099, 3.0], [\"psirt@adobe.com\", 6189, 2.0], [\"cna@vuldb.com\", 6039, 2.0], [\"psirt@cisco.com\", 5943, 2.0], [\"security@wordfence.com\", 5369, 2.0], [\"security@android.com\", 4870, 2.0], [\"cve@kernel.org\", 4682, 2.0], [\"contact@wpscan.com\", 3675, 1.0], [\"secure@intel.com\", 3596, 1.0], [\"chrome-cve-admin@google.com\", 3412, 1.0], [\"product-security@qualcomm.com\", 3351, 1.0], [\"cret@cert.org\", 3248, 1.0], [\"ics-cert@hq.dhs.gov\", 3201, 1.0], [\"vultures@jpcert.or.jp\", 2795, 1.0], [\"zdi-disclosures@trendmicro.com\", 2734, 1.0], [\"talos-cna@cisco.com\", 2339, 1.0], [\"security@mozilla.org\", 2087, 1.0], [\"security@huntr.dev\", 2034, 1.0], [\"psirt@huawei.com\", 2012, 1.0], [\"security_alert@emc.com\", 1865, 1.0], [\"security@apache.org\", 1609, 1.0], [\"productcert@siemens.com\", 1505, 1.0], [\"support@hackerone.com\", 1483, 1.0], [\"security-alert@hpe.com\", 1381, 0.0], [\"jenkinsci-cert@googlegroups.com\", 1364, 0.0], [\"cna@sap.com\", 1325, 0.0], [\"mobile.security@samsung.com\", 1041, 0.0], [\"hp-security-alert@hp.com\", 920, 0.0], [\"sirt@juniper.net\", 875, 0.0], [\"cve@gitlab.com\", 874, 0.0], [\"report@snyk.io\", 813, 0.0], [\"f5sirt@f5.com\", 804, 0.0], [\"security@mediatek.com\", 799, 0.0], [\"security@debian.org\", 788, 0.0], [\"psirt@fortinet.com\", 751, 0.0], [\"psirt@nvidia.com\", 692, 0.0], [\"security@vmware.com\", 661, 0.0], [\"cybersecurity@se.com\", 656, 0.0], [\"twcert@cert.org.tw\", 640, 0.0], [\"security@opentext.com\", 636, 0.0], [\"security@unisoc.com\", 604, 0.0], [\"psirt@lenovo.com\", 575, 0.0], [\"cve-coordination@incibe.es\", 570, 0.0], [\"security@atlassian.com\", 517, 0.0], [\"vulnreport@tenable.com\", 501, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 501, 0.0], [\"info@cert.vde.com\", 482, 0.0], [\"security@trendmicro.com\", 445, 0.0], [\"security@ubuntu.com\", 442, 0.0], [\"psirt@amd.com\", 433, 0.0], [\"trellixpsirt@trellix.com\", 386, 0.0], [\"secure@symantec.com\", 359, 0.0], [\"security@qnapsecurity.com.tw\", 345, 0.0], [\"psirt@paloaltonetworks.com\", 333, 0.0], [\"iletisim@usom.gov.tr\", 329, 0.0], [\"help@fluidattacks.com\", 319, 0.0], [\"psirt@hcl.com\", 280, 0.0], [\"security@synology.com\", 252, 0.0], [\"psirt@autodesk.com\", 247, 0.0], [\"cve@rapid7.com\", 244, 0.0], [\"cve-coordination@google.com\", 242, 0.0], [\"patrick@puiterwijk.org\", 231, 0.0], [\"responsibledisclosure@mattermost.com\", 224, 0.0], [\"cna@cyber.gov.il\", 219, 0.0], [\"cve@jetbrains.com\", 209, 0.0], [\"secteam@freebsd.org\", 205, 0.0], [\"dsap-vuln-management@google.com\", 202, 0.0], [\"vuln@krcert.or.kr\", 196, 0.0], [\"vulnerabilitylab@mend.io\", 196, 0.0], [\"bressers@elastic.co\", 189, 0.0], [\"cybersecurity@ch.abb.com\", 175, 0.0], [\"josh@bress.net\", 174, 0.0], [\"security@tibco.com\", 172, 0.0], [\"psirt@zte.com.cn\", 171, 0.0], [\"security-alert@netapp.com\", 168, 0.0], [\"security@pivotal.io\", 160, 0.0], [\"security@zoom.us\", 159, 0.0], [\"cve-assign@fb.com\", 156, 0.0], [\"PSIRT@sonicwall.com\", 152, 0.0], [\"vulnerability@kaspersky.com\", 150, 0.0], [\"psirt@solarwinds.com\", 147, 0.0], [\"meissner@suse.de\", 145, 0.0], [\"prodsec@nozominetworks.com\", 144, 0.0], [\"sirt@brocade.com\", 144, 0.0], [\"PSIRT@rockwellautomation.com\", 142, 0.0], [\"emo@eclipse.org\", 141, 0.0], [\"cve-requests@bitdefender.com\", 138, 0.0], [\"security@acronis.com\", 136, 0.0], [\"mlhess@drupal.org\", 136, 0.0], [\"security@joomla.org\", 133, 0.0], [\"security@golang.org\", 133, 0.0], [\"vulnerabilities@zephyrproject.org\", 131, 0.0], [\"security@zyxel.com.tw\", 128, 0.0], [\"security-officer@isc.org\", 125, 0.0], [\"openssl-security@openssl.org\", 122, 0.0], [\"CybersecurityCOE@eaton.com\", 120, 0.0], [\"security@xen.org\", 120, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 115, 0.0], [\"security@progress.com\", 114, 0.0], [\"prodsec@splunk.com\", 110, 0.0], [\"psirt@bosch.com\", 102, 0.0], [\"scy@openharmony.io\", 98, 0.0], [\"cvd@cert.pl\", 98, 0.0], [\"psirt@esri.com\", 95, 0.0], [\"cve@checkpoint.com\", 94, 0.0], [\"vdisclose@cert-in.org.in\", 93, 0.0], [\"disclosures@gallagher.com\", 93, 0.0], [\"product-cna@github.com\", 93, 0.0], [\"3c1d8aa1-5a33-4ea4-8992-aadd6440af75\", 90, 0.0], [\"jordan@liggitt.net\", 89, 0.0], [\"psirt@sick.de\", 88, 0.0], [\"reefs@jfrog.com\", 87, 0.0], [\"vulnerability@ncsc.ch\", 86, 0.0], [\"larry0@me.com\", 84, 0.0], [\"cybersecurity@hitachienergy.com\", 83, 0.0], [\"product-security@silabs.com\", 82, 0.0], [\"psirt@forcepoint.com\", 81, 0.0], [\"security@puppet.com\", 79, 0.0], [\"security@odoo.com\", 79, 0.0], [\"security@otrs.com\", 70, 0.0], [\"productsecurity@jci.com\", 69, 0.0], [\"csirt@divd.nl\", 69, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 68, 0.0], [\"vuln@ca.com\", 68, 0.0], [\"securityalerts@avaya.com\", 67, 0.0], [\"security@devolutions.net\", 67, 0.0], [\"security@php.net\", 66, 0.0], [\"security@liferay.com\", 66, 0.0], [\"security@checkmk.com\", 66, 0.0], [\"securities@openeuler.org\", 66, 0.0], [\"cna@mongodb.com\", 63, 0.0], [\"secure@blackberry.com\", 61, 0.0], [\"security@open-xchange.com\", 61, 0.0], [\"security@hashicorp.com\", 57, 0.0], [\"security@octopus.com\", 56, 0.0], [\"security@zabbix.com\", 56, 0.0], [\"security@sierrawireless.com\", 56, 0.0], [\"security@teradici.com\", 56, 0.0], [\"vdp@themissinglink.com.au\", 55, 0.0], [\"cve@asrg.io\", 55, 0.0], [\"0fc0942c-577d-436f-ae8e-945763c79b02\", 55, 0.0], [\"cna@cloudflare.com\", 54, 0.0], [\"hirt@hitachi.co.jp\", 52, 0.0], [\"secure@citrix.com\", 50, 0.0], [\"cybersecurity@dahuatech.com\", 50, 0.0], [\"psirt@moxa.com\", 50, 0.0], [\"disclosure@vulncheck.com\", 50, 0.0], [\"security-alert@sophos.com\", 49, 0.0], [\"security@xiaomi.com\", 48, 0.0], [\"psirt-info@cyber.jp.nec.com\", 48, 0.0], [\"psirt@wdc.com\", 47, 0.0], [\"disclosure@synopsys.com\", 47, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 46, 0.0], [\"product-security@axis.com\", 46, 0.0], [\"cve-notifications-us@f-secure.com\", 46, 0.0], [\"psirt@arista.com\", 45, 0.0], [\"ecc0f906-8666-484c-bcf8-c3b7520a72f0\", 44, 0.0], [\"security@m-files.com\", 44, 0.0], [\"info@starlabs.sg\", 44, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 42, 0.0], [\"VulnerabilityReporting@secomea.com\", 42, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 42, 0.0], [\"cve@zscaler.com\", 41, 0.0], [\"security@selinc.com\", 41, 0.0], [\"responsible-disclosure@pingidentity.com\", 41, 0.0], [\"security@pandorafms.com\", 40, 0.0], [\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", 39, 0.0], [\"3DS.Information-Security@3ds.com\", 39, 0.0], [\"cve-coordination@palantir.com\", 39, 0.0], [\"biossecurity@ami.com\", 38, 0.0], [\"sec@hillstonenet.com\", 37, 0.0], [\"psirt@honeywell.com\", 37, 0.0], [\"disclosures@exodusintel.com\", 37, 0.0], [\"office@cyberdanube.com\", 36, 0.0], [\"arm-security@arm.com\", 36, 0.0], [\"paddle-security@baidu.com\", 33, 0.0], [\"security@documentfoundation.org\", 32, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 31, 0.0], [\"security@openvpn.net\", 30, 0.0], [\"browser-security@yandex-team.ru\", 29, 0.0], [\"security@ni.com\", 29, 0.0], [\"security@pega.com\", 29, 0.0], [\"cve@aliasrobotics.com\", 29, 0.0], [\"cert@ncsc.nl\", 28, 0.0], [\"security@eset.com\", 27, 0.0], [\"product.security@lge.com\", 27, 0.0], [\"cve@navercorp.com\", 26, 0.0], [\"security@grafana.com\", 26, 0.0], [\"contact@securifera.com\", 25, 0.0], [\"vulnerability@cspcert.ph\", 25, 0.0], [\"security-report@netflix.com\", 24, 0.0], [\"security@vaadin.com\", 24, 0.0], [\"security@proofpoint.com\", 23, 0.0], [\"xpdf@xpdfreader.com\", 23, 0.0], [\"cybersecurity@bd.com\", 22, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 22, 0.0], [\"ART@zuso.ai\", 22, 0.0], [\"cert@airbus.com\", 22, 0.0], [\"security@openanolis.org\", 22, 0.0], [\"infosec@edk2.groups.io\", 22, 0.0], [\"367425dc-4d06-4041-9650-c2dc6aaa27ce\", 21, 0.0], [\"security@mautic.org\", 21, 0.0], [\"hsrc@hikvision.com\", 20, 0.0], [\"security@oppo.com\", 19, 0.0], [\"sep@nlnetlabs.nl\", 19, 0.0], [\"df4dee71-de3a-4139-9588-11b62fe6c0ff\", 18, 0.0], [\"cve_disclosure@tech.gov.sg\", 18, 0.0], [\"cve-request@iojs.org\", 18, 0.0], [\"cna@python.org\", 18, 0.0], [\"security@craftersoftware.com\", 17, 0.0], [\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\", 17, 0.0], [\"ff5b8ace-8b95-4078-9743-eac1ca5451de\", 17, 0.0], [\"security@nortonlifelock.com\", 17, 0.0], [\"ot-cert@dragos.com\", 16, 0.0], [\"productsecurity@baxter.com\", 16, 0.0], [\"security@vivo.com\", 16, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 15, 0.0], [\"security@hypr.com\", 15, 0.0], [\"security@marklogic.com\", 15, 0.0], [\"psirt@servicenow.com\", 15, 0.0], [\"security@docker.com\", 15, 0.0], [\"ff89ba41-3aa1-4d27-914a-91399e9639e5\", 14, 0.0], [\"c4f26cc8-17ff-4c99-b5e2-38fc1793eacc\", 14, 0.0], [\"productsecurity@carrier.com\", 14, 0.0], [\"security@yugabyte.com\", 14, 0.0], [\"security@opennms.com\", 14, 0.0], [\"office@obdev.at\", 14, 0.0], [\"info@appcheck-ng.com\", 13, 0.0], [\"10b61619-3869-496c-8a1e-f291b0e71e3f\", 13, 0.0], [\"psirt@purestorage.com\", 13, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 13, 0.0], [\"facts@wolfssl.com\", 13, 0.0], [\"security@fidelissecurity.com\", 13, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 12, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 12, 0.0], [\"cve@takeonme.org\", 12, 0.0], [\"security@snowsoftware.com\", 12, 0.0], [\"psirt@okta.com\", 12, 0.0], [\"dl_cve@linecorp.com\", 12, 0.0], [\"security@salesforce.com\", 12, 0.0], [\"430a6cef-dc26-47e3-9fa8-52fb7f19644e\", 12, 0.0], [\"research@onekey.com\", 12, 0.0], [\"product-security@gg.jp.panasonic.com\", 12, 0.0], [\"disclose@cybersecurityworks.com\", 11, 0.0], [\"psirt@thalesgroup.com\", 11, 0.0], [\"vuln@vdoo.com\", 11, 0.0], [\"security@knime.com\", 11, 0.0], [\"dc3f6da9-85b5-4a73-84a2-2ec90b40fca5\", 11, 0.0], [\"security@bluespice.com\", 11, 0.0], [\"2499f714-1537-4658-8207-48ae4bb9eae9\", 11, 0.0], [\"psirt@forgerock.com\", 10, 0.0], [\"psirt@teamviewer.com\", 10, 0.0], [\"security@asustor.com\", 10, 0.0], [\"13061848-ea10-403d-bd75-c83a022c2891\", 10, 0.0], [\"psirt@sailpoint.com\", 10, 0.0], [\"PSIRT@samsung.com\", 10, 0.0], [\"907edf6c-bf03-423e-ab1a-8da27e1aa1ea\", 10, 0.0], [\"3f572a00-62e2-4423-959a-7ea25eff1638\", 10, 0.0], [\"cve@forums.swift.org\", 10, 0.0], [\"f946a70c-00eb-42ce-8e9b-634d1f7b5a6f\", 9, 0.0], [\"security@search-guard.com\", 9, 0.0], [\"36c7be3b-2937-45df-85ea-ca7133ea542c\", 9, 0.0], [\"171caf72-b841-4e04-a68e-93493aff2b94\", 9, 0.0], [\"bugreport@qualys.com\", 9, 0.0], [\"5d1c2695-1a31-4499-88ae-e847036fd7e3\", 8, 0.0], [\"bbf0bd87-ece2-41be-b873-96928ee8fab9\", 8, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 8, 0.0], [\"5fea7123-217b-4b2d-ada8-8892719b43cd\", 8, 0.0], [\"mandiant-cve@google.com\", 8, 0.0], [\"security@tcpdump.org\", 8, 0.0], [\"sirt@silver-peak.com\", 8, 0.0], [\"22d9ba52-f336-4b0d-bf1f-0efbdcc3c1de\", 7, 0.0], [\"80f39f49-2521-4ee7-9e17-af5d55e8032f\", 7, 0.0], [\"7bc73191-a2b6-4c63-9918-753964601853\", 7, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 7, 0.0], [\"security@1e.com\", 7, 0.0], [\"a87f365f-9d39-4848-9b3a-58c7cae69cab\", 7, 0.0], [\"psirt@netskope.com\", 6, 0.0], [\"support@shopbeat.co.za\", 6, 0.0], [\"103e4ec9-0a87-450b-af77-479448ddef11\", 6, 0.0], [\"85b1779b-6ecd-4f52-bcc5-73eac4659dcf\", 6, 0.0], [\"security@360.cn\", 6, 0.0], [\"security@duo.com\", 6, 0.0], [\"cve-coordination@logitech.com\", 6, 0.0], [\"psirt@tigera.io\", 6, 0.0], [\"41c37e40-543d-43a2-b660-2fee83ea851a\", 6, 0.0], [\"3ff69d7a-14f2-4f67-a097-88dee7810d18\", 6, 0.0], [\"a341c0d1-ebf7-493f-a84e-38cf86618674\", 6, 0.0], [\"ed10eef1-636d-4fbe-9993-6890dfa878f8\", 6, 0.0], [\"2505284f-8ffb-486c-bf60-e19c1097a90b\", 5, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 5, 0.0], [\"psirt@mirantis.com\", 5, 0.0], [\"PSIRT@synaptics.com\", 5, 0.0], [\"54bf65a7-a193-42d2-b1ba-8e150d3c35e1\", 5, 0.0], [\"security@baicells.com\", 5, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 5, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 5, 0.0], [\"security@dotcms.com\", 5, 0.0], [\"46fe6300-5254-4a98-9594-a9567bec8179\", 5, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 4, 0.0], [\"security@opera.com\", 4, 0.0], [\"596c5446-0ce5-4ba2-aa66-48b3b757a647\", 4, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 4, 0.0], [\"0a72a055-908d-47f5-a16a-1f09049c16c6\", 4, 0.0], [\"1e3a9e0f-5156-4bf8-b8a3-cc311bfc0f4a\", 3, 0.0], [\"disclosures@halborn.com\", 3, 0.0], [\"security@42gears.com\", 3, 0.0], [\"security@temporal.io\", 3, 0.0], [\"GEPowerCVD@ge.com\", 3, 0.0], [\"b48c3b8f-639e-4c16-8725-497bc411dad0\", 3, 0.0], [\"a5532a13-c4dd-4202-bef1-e0b8f2f8d12b\", 3, 0.0], [\"68870bb1-d075-4169-957d-e580b18692b9\", 3, 0.0], [\"security@medtronic.com\", 3, 0.0], [\"1443cd92-d354-46d2-9290-d812316ca43a\", 2, 0.0], [\"cves@blacklanternsecurity.com\", 2, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 2, 0.0], [\"a6d3dc9e-0591-4a13-bce7-0f5b31ff6158\", 2, 0.0], [\"cf45122d-9d50-442a-9b23-e05cde9943d8\", 2, 0.0], [\"a14582b7-06f4-4d66-8e82-3d7ba3739e88\", 2, 0.0], [\"655498c3-6ec5-4f0b-aea6-853b334d05a6\", 2, 0.0], [\"info@cybellum.com\", 2, 0.0], [\"security@replicated.com\", 2, 0.0], [\"cve@profelis.com.tr\", 2, 0.0], [\"4586e0a2-224d-4f8a-9cb4-8882b208c0b3\", 2, 0.0], [\"openbmc-security@lists.ozlabs.org\", 2, 0.0], [\"96148269-fe82-4198-b1bf-3a73ce8bc92e\", 2, 0.0], [\"87c8e6ad-f0f5-4ca8-89e2-89f26d6ed932\", 2, 0.0], [\"b7efe717-a805-47cf-8e9a-921fca0ce0ce\", 2, 0.0], [\"bba440f9-ef23-4224-aa62-7ac0935d18d1\", 2, 0.0], [\"security.vulnerabilities@algosec.com\", 2, 0.0], [\"d42dc95b-23f1-4e06-9076-20753a0fb0df\", 2, 0.0], [\"security@genetec.com\", 2, 0.0], [\"incident@nbu.gov.sk\", 2, 0.0], [\"67325c3f-c596-46c5-a235-e1a1e73abe4e\", 2, 0.0], [\"57dba5dd-1a03-47f6-8b36-e84e47d335d8\", 2, 0.0], [\"alibaba-cna@list.alibaba-inc.com\", 1, 0.0], [\"1d66c9f9-fff2-411a-aa19-ca6312fa25e9\", 1, 0.0], [\"secure@ea.com\", 1, 0.0], [\"security@deepsurface.com\", 1, 0.0], [\"9947ef80-c5d5-474a-bbab-97341a59000e\", 1, 0.0], [\"33c584b5-0579-4c06-b2a0-8d8329fcab9c\", 1, 0.0], [\"security@mimsoftware.com\", 1, 0.0], [\"info@greenrocketsecurity.com\", 1, 0.0], [\"security@illumio.com\", 1, 0.0], [\"security@opencloudos.tech\", 1, 0.0], [\"productsecurity@bbraun.com\", 1, 0.0], [\"7bd90cf1-1651-495e-9ae8-9415fb3c9feb\", 1, 0.0], [\"96d4e157-0bf0-48b3-8efd-382c68caf4e0\", 1, 0.0], [\"36106deb-8e95-420b-a0a0-e70af5d245df\", 1, 0.0], [\"56c94bcb-ac34-4d7f-b660-d297a6b7ff82\", 1, 0.0], [\"20be33e2-bf35-4d13-8fad-18bd2f3e3659\", 1, 0.0], [\"cb7ba516-3b07-4c98-b0c2-715220f1a8f6\", 1, 0.0], [\"88ee5874-cf24-4952-aea0-31affedb7ff2\", 1, 0.0], [\"001d69cf-3fc9-4203-93fb-9865b54e05b2\", 1, 0.0], [\"db4dfee8-a97e-4877-bfae-eba6d14a2166\", 1, 0.0], [\"3ad20294-822c-4ebc-9301-f9a7cf62d46e\", 1, 0.0], [\"5cdcf916-2b10-4ec8-bfc1-d054821e439e\", 1, 0.0]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -488,10 +486,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:42.626923Z",
-     "iopub.status.busy": "2024-09-13T08:30:42.626581Z",
-     "iopub.status.idle": "2024-09-13T08:30:42.630601Z",
-     "shell.execute_reply": "2024-09-13T08:30:42.630018Z"
+     "iopub.execute_input": "2025-02-02T04:34:04.109574Z",
+     "iopub.status.busy": "2025-02-02T04:34:04.109197Z",
+     "iopub.status.idle": "2025-02-02T04:34:04.113693Z",
+     "shell.execute_reply": "2025-02-02T04:34:04.113160Z"
     },
     "tags": [
      "remove-input"
@@ -501,7 +499,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:30:42.627561**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:34:04.110381**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -533,7 +531,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVECNAMap.ipynb b/CVECNAMap.ipynb
index 91833acdea..6e4f7d3330 100644
--- a/CVECNAMap.ipynb
+++ b/CVECNAMap.ipynb
@@ -13,10 +13,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:16.519205Z",
-     "iopub.status.busy": "2024-09-13T08:25:16.519029Z",
-     "iopub.status.idle": "2024-09-13T08:25:17.121065Z",
-     "shell.execute_reply": "2024-09-13T08:25:17.120493Z"
+     "iopub.execute_input": "2025-02-02T04:24:27.947880Z",
+     "iopub.status.busy": "2025-02-02T04:24:27.947557Z",
+     "iopub.status.idle": "2025-02-02T04:24:28.545226Z",
+     "shell.execute_reply": "2025-02-02T04:24:28.544584Z"
     },
     "tags": [
      "remove-cell"
@@ -41,10 +41,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:25:17.123901Z",
-     "iopub.status.busy": "2024-09-13T08:25:17.123356Z",
-     "iopub.status.idle": "2024-09-13T08:28:42.321024Z",
-     "shell.execute_reply": "2024-09-13T08:28:42.320464Z"
+     "iopub.execute_input": "2025-02-02T04:24:28.547568Z",
+     "iopub.status.busy": "2025-02-02T04:24:28.547302Z",
+     "iopub.status.idle": "2025-02-02T04:31:44.214179Z",
+     "shell.execute_reply": "2025-02-02T04:31:44.213512Z"
     },
     "tags": [
      "remove-cell"
@@ -84,10 +84,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:28:42.323673Z",
-     "iopub.status.busy": "2024-09-13T08:28:42.323241Z",
-     "iopub.status.idle": "2024-09-13T08:28:42.329547Z",
-     "shell.execute_reply": "2024-09-13T08:28:42.329121Z"
+     "iopub.execute_input": "2025-02-02T04:31:44.216187Z",
+     "iopub.status.busy": "2025-02-02T04:31:44.215999Z",
+     "iopub.status.idle": "2025-02-02T04:31:44.221997Z",
+     "shell.execute_reply": "2025-02-02T04:31:44.221507Z"
     },
     "tags": [
      "remove-cell"
@@ -106,10 +106,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:28:42.331653Z",
-     "iopub.status.busy": "2024-09-13T08:28:42.331460Z",
-     "iopub.status.idle": "2024-09-13T08:28:42.843604Z",
-     "shell.execute_reply": "2024-09-13T08:28:42.842954Z"
+     "iopub.execute_input": "2025-02-02T04:31:44.223758Z",
+     "iopub.status.busy": "2025-02-02T04:31:44.223441Z",
+     "iopub.status.idle": "2025-02-02T04:31:44.763817Z",
+     "shell.execute_reply": "2025-02-02T04:31:44.763189Z"
     },
     "tags": [
      "remove-input"
@@ -146,7 +146,7 @@
        "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
        "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
        "            &lt;style&gt;\n",
-       "                #map_559738d7a1d656c8dac7d19fc9b1cdf4 {\n",
+       "                #map_a86b9e9327c142a199efdd083537b0ab {\n",
        "                    position: relative;\n",
        "                    width: 100.0%;\n",
        "                    height: 100.0%;\n",
@@ -163,20 +163,23 @@
        "&lt;body&gt;\n",
        "    \n",
        "    \n",
-       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_559738d7a1d656c8dac7d19fc9b1cdf4&quot; &gt;&lt;/div&gt;\n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_a86b9e9327c142a199efdd083537b0ab&quot; &gt;&lt;/div&gt;\n",
        "        \n",
        "&lt;/body&gt;\n",
        "&lt;script&gt;\n",
        "    \n",
        "    \n",
-       "            var map_559738d7a1d656c8dac7d19fc9b1cdf4 = L.map(\n",
-       "                &quot;map_559738d7a1d656c8dac7d19fc9b1cdf4&quot;,\n",
+       "            var map_a86b9e9327c142a199efdd083537b0ab = L.map(\n",
+       "                &quot;map_a86b9e9327c142a199efdd083537b0ab&quot;,\n",
        "                {\n",
        "                    center: [10.0, 0.0],\n",
        "                    crs: L.CRS.EPSG3857,\n",
-       "                    zoom: 2.25,\n",
-       "                    zoomControl: true,\n",
-       "                    preferCanvas: false,\n",
+       "                    ...{\n",
+       "  &quot;zoom&quot;: 2.25,\n",
+       "  &quot;zoomControl&quot;: true,\n",
+       "  &quot;preferCanvas&quot;: false,\n",
+       "}\n",
+       "\n",
        "                }\n",
        "            );\n",
        "\n",
@@ -184,10962 +187,15735 @@
        "\n",
        "        \n",
        "    \n",
-       "            var tile_layer_102511b0a241058e9dbd52e344570f1e = L.tileLayer(\n",
+       "            var tile_layer_7108231b090a2c9780e61730dfaa607c = L.tileLayer(\n",
        "                &quot;https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png&quot;,\n",
-       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\&quot;https://carto.com/attributions\\&quot;\\u003eCARTO\\u003c/a\\u003e&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 20, &quot;maxZoom&quot;: 20, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abcd&quot;, &quot;tms&quot;: false}\n",
+       "                {\n",
+       "  &quot;minZoom&quot;: 0,\n",
+       "  &quot;maxZoom&quot;: 20,\n",
+       "  &quot;maxNativeZoom&quot;: 20,\n",
+       "  &quot;noWrap&quot;: false,\n",
+       "  &quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\&quot;https://carto.com/attributions\\&quot;\\u003eCARTO\\u003c/a\\u003e&quot;,\n",
+       "  &quot;subdomains&quot;: &quot;abcd&quot;,\n",
+       "  &quot;detectRetina&quot;: false,\n",
+       "  &quot;tms&quot;: false,\n",
+       "  &quot;opacity&quot;: 1,\n",
+       "}\n",
+       "\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            tile_layer_102511b0a241058e9dbd52e344570f1e.addTo(map_559738d7a1d656c8dac7d19fc9b1cdf4);\n",
+       "            tile_layer_7108231b090a2c9780e61730dfaa607c.addTo(map_a86b9e9327c142a199efdd083537b0ab);\n",
        "        \n",
        "    \n",
-       "            var marker_cluster_6b85e869512731be2286e87761608e3d = L.markerClusterGroup(\n",
-       "                {}\n",
+       "            var marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794 = L.markerClusterGroup(\n",
+       "                {\n",
+       "}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            var marker_3548644155857de8c202257d5668050c = L.marker(\n",
+       "            var marker_aa77c02ff247e0e6c9158e32d8032315 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bafc39e62a52bc84ce8f1bfe196e7371 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c022a6e4ec44d92b95615ce99d487564 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3548644155857de8c202257d5668050c.setIcon(icon_bafc39e62a52bc84ce8f1bfe196e7371);\n",
+       "            marker_aa77c02ff247e0e6c9158e32d8032315.setIcon(icon_c022a6e4ec44d92b95615ce99d487564);\n",
        "        \n",
        "    \n",
-       "        var popup_c3c588e8aff872e42bf88f593f5eeeca = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_659c1975e2ae40906fc3e2f2b14f3f0e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_387bd591d0946e725237c802c5a7c33c = $(`&lt;div id=&quot;html_387bd591d0946e725237c802c5a7c33c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Adobe Systems Incorporated&lt;/b&gt; &lt;br&gt;https://helpx.adobe.com/security.html&lt;/div&gt;`)[0];\n",
-       "                popup_c3c588e8aff872e42bf88f593f5eeeca.setContent(html_387bd591d0946e725237c802c5a7c33c);\n",
+       "                var html_fd419bac6e57119d9950175e11f824f5 = $(`&lt;div id=&quot;html_fd419bac6e57119d9950175e11f824f5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Adobe Systems Incorporated&lt;/b&gt; &lt;br&gt;https://helpx.adobe.com/security.html&lt;/div&gt;`)[0];\n",
+       "                popup_659c1975e2ae40906fc3e2f2b14f3f0e.setContent(html_fd419bac6e57119d9950175e11f824f5);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3548644155857de8c202257d5668050c.bindPopup(popup_c3c588e8aff872e42bf88f593f5eeeca)\n",
+       "        marker_aa77c02ff247e0e6c9158e32d8032315.bindPopup(popup_659c1975e2ae40906fc3e2f2b14f3f0e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_5d982b32c6ea02f32f73a664f00e89f8 = L.marker(\n",
+       "            var marker_59ed4dda90c82908a0229f0a7a92b72d = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bbda7588233a819d1dbdbf7c82227c7d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0629bf83b9140addb73fea85e336d07c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_5d982b32c6ea02f32f73a664f00e89f8.setIcon(icon_bbda7588233a819d1dbdbf7c82227c7d);\n",
+       "            marker_59ed4dda90c82908a0229f0a7a92b72d.setIcon(icon_0629bf83b9140addb73fea85e336d07c);\n",
        "        \n",
        "    \n",
-       "        var popup_8c659d5af7f7485ae293d7d83f2792bf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2c0667c765b60e0f84aeaade36e73c86 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4b841b7de75420953bc9dd48b79567f7 = $(`&lt;div id=&quot;html_4b841b7de75420953bc9dd48b79567f7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Advanced Micro Devices Inc.&lt;/b&gt; &lt;br&gt;https://www.amd.com/en/resources/product-security.html#vulnerability&lt;/div&gt;`)[0];\n",
-       "                popup_8c659d5af7f7485ae293d7d83f2792bf.setContent(html_4b841b7de75420953bc9dd48b79567f7);\n",
+       "                var html_1a105d705d5f0b2e6183b0ab904aaf70 = $(`&lt;div id=&quot;html_1a105d705d5f0b2e6183b0ab904aaf70&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Advanced Micro Devices Inc.&lt;/b&gt; &lt;br&gt;https://www.amd.com/en/resources/product-security.html#vulnerability&lt;/div&gt;`)[0];\n",
+       "                popup_2c0667c765b60e0f84aeaade36e73c86.setContent(html_1a105d705d5f0b2e6183b0ab904aaf70);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_5d982b32c6ea02f32f73a664f00e89f8.bindPopup(popup_8c659d5af7f7485ae293d7d83f2792bf)\n",
+       "        marker_59ed4dda90c82908a0229f0a7a92b72d.bindPopup(popup_2c0667c765b60e0f84aeaade36e73c86)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c66f29bc0d2b096838c183d9b9756c76 = L.marker(\n",
+       "            var marker_6263d4f6d84986f940bef6a67e6b1615 = L.marker(\n",
        "                [52.2434979, 5.6343227],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d6a85530379a8e58b64b6d1915a101ee = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e3fe3c83b8a485d5ad9397039c8248bc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c66f29bc0d2b096838c183d9b9756c76.setIcon(icon_d6a85530379a8e58b64b6d1915a101ee);\n",
+       "            marker_6263d4f6d84986f940bef6a67e6b1615.setIcon(icon_e3fe3c83b8a485d5ad9397039c8248bc);\n",
        "        \n",
        "    \n",
-       "        var popup_a0fb881b9dca26a3375bfb67986e368f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_cd9c559f7b6ff54e38715ead531b33f6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3dbd73ad2b1946e5f7161bb07f360529 = $(`&lt;div id=&quot;html_3dbd73ad2b1946e5f7161bb07f360529&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Airbus&lt;/b&gt; &lt;br&gt;https://airbus-seclab.github.io/&lt;/div&gt;`)[0];\n",
-       "                popup_a0fb881b9dca26a3375bfb67986e368f.setContent(html_3dbd73ad2b1946e5f7161bb07f360529);\n",
+       "                var html_eddbf6661f3d41e17769d0591c9d4c55 = $(`&lt;div id=&quot;html_eddbf6661f3d41e17769d0591c9d4c55&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Airbus&lt;/b&gt; &lt;br&gt;https://airbus-seclab.github.io/&lt;/div&gt;`)[0];\n",
+       "                popup_cd9c559f7b6ff54e38715ead531b33f6.setContent(html_eddbf6661f3d41e17769d0591c9d4c55);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c66f29bc0d2b096838c183d9b9756c76.bindPopup(popup_a0fb881b9dca26a3375bfb67986e368f)\n",
+       "        marker_6263d4f6d84986f940bef6a67e6b1615.bindPopup(popup_cd9c559f7b6ff54e38715ead531b33f6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f68246e9e895ed06a76f890bae118613 = L.marker(\n",
+       "            var marker_39da77c714be6fcdfaa7dfd972a3f950 = L.marker(\n",
        "                [39.3260685, -4.8379791],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a9227c4ce5de2b69240748331fb200f1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_aca0dfa5748703ecf374b4909fbdf9f3 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f68246e9e895ed06a76f890bae118613.setIcon(icon_a9227c4ce5de2b69240748331fb200f1);\n",
+       "            marker_39da77c714be6fcdfaa7dfd972a3f950.setIcon(icon_aca0dfa5748703ecf374b4909fbdf9f3);\n",
        "        \n",
        "    \n",
-       "        var popup_7c8204c8c186bf38e6254e4f5e52ebc0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_84d78c251eb11bd8d4972188f3f20e0a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_438c563f36dc7593fa752efc353819f3 = $(`&lt;div id=&quot;html_438c563f36dc7593fa752efc353819f3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Alias Robotics S.L.&lt;/b&gt; &lt;br&gt;https://github.com/aliasrobotics/RVD&lt;/div&gt;`)[0];\n",
-       "                popup_7c8204c8c186bf38e6254e4f5e52ebc0.setContent(html_438c563f36dc7593fa752efc353819f3);\n",
+       "                var html_1a464735516d9318575a7eca3ef2d51c = $(`&lt;div id=&quot;html_1a464735516d9318575a7eca3ef2d51c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Alias Robotics S.L.&lt;/b&gt; &lt;br&gt;https://github.com/aliasrobotics/RVD&lt;/div&gt;`)[0];\n",
+       "                popup_84d78c251eb11bd8d4972188f3f20e0a.setContent(html_1a464735516d9318575a7eca3ef2d51c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f68246e9e895ed06a76f890bae118613.bindPopup(popup_7c8204c8c186bf38e6254e4f5e52ebc0)\n",
+       "        marker_39da77c714be6fcdfaa7dfd972a3f950.bindPopup(popup_84d78c251eb11bd8d4972188f3f20e0a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_947402e49e9bacf0678cd2fb1c21c8d2 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_5bf4f897023a06f60a28b745642aad7a = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_457829db8811256119301eca08bd5f99 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_541f7b0a296ec0356b4ff31d3a0ca5d2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_947402e49e9bacf0678cd2fb1c21c8d2.setIcon(icon_457829db8811256119301eca08bd5f99);\n",
+       "            marker_5bf4f897023a06f60a28b745642aad7a.setIcon(icon_541f7b0a296ec0356b4ff31d3a0ca5d2);\n",
        "        \n",
        "    \n",
-       "        var popup_e834228f35c5184368c1c62adf15ca73 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_07b43e7ce19c2c7184e5bb236d403f6d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d6762561195a5d3af58e77e8de9e0dcb = $(`&lt;div id=&quot;html_d6762561195a5d3af58e77e8de9e0dcb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Alibaba, Inc.&lt;/b&gt; &lt;br&gt;https://security.alibaba.com/announcement.htm&lt;/div&gt;`)[0];\n",
-       "                popup_e834228f35c5184368c1c62adf15ca73.setContent(html_d6762561195a5d3af58e77e8de9e0dcb);\n",
+       "                var html_678935f2940ab2dfb8bdd8581eea6437 = $(`&lt;div id=&quot;html_678935f2940ab2dfb8bdd8581eea6437&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Alibaba, Inc.&lt;/b&gt; &lt;br&gt;https://security.alibaba.com/announcement.htm&lt;/div&gt;`)[0];\n",
+       "                popup_07b43e7ce19c2c7184e5bb236d403f6d.setContent(html_678935f2940ab2dfb8bdd8581eea6437);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_947402e49e9bacf0678cd2fb1c21c8d2.bindPopup(popup_e834228f35c5184368c1c62adf15ca73)\n",
+       "        marker_5bf4f897023a06f60a28b745642aad7a.bindPopup(popup_07b43e7ce19c2c7184e5bb236d403f6d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d0b1ee2087d164c10be4f1d0cadb75e5 = L.marker(\n",
+       "            var marker_ae5543b4f47ffc11ce6ad8a9a93a2e56 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_789ffa39c060df24bd71d2c70834b813 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c90b9fe77c94a67c1b24957e4f5bdbcb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d0b1ee2087d164c10be4f1d0cadb75e5.setIcon(icon_789ffa39c060df24bd71d2c70834b813);\n",
+       "            marker_ae5543b4f47ffc11ce6ad8a9a93a2e56.setIcon(icon_c90b9fe77c94a67c1b24957e4f5bdbcb);\n",
        "        \n",
        "    \n",
-       "        var popup_68bf1bb94a737fbe6ec4dec368fc64c5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d96e8b7e4aaf623f0ef50bfab8d2ff90 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_93a9b3005a7d1168acb13c5850d89b82 = $(`&lt;div id=&quot;html_93a9b3005a7d1168acb13c5850d89b82&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ampere Computing&lt;/b&gt; &lt;br&gt;https://amperecomputing.com/products/product-security.html&lt;/div&gt;`)[0];\n",
-       "                popup_68bf1bb94a737fbe6ec4dec368fc64c5.setContent(html_93a9b3005a7d1168acb13c5850d89b82);\n",
+       "                var html_97967ff1bead9458604c92adf9e0bb37 = $(`&lt;div id=&quot;html_97967ff1bead9458604c92adf9e0bb37&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ampere Computing&lt;/b&gt; &lt;br&gt;https://amperecomputing.com/products/product-security.html&lt;/div&gt;`)[0];\n",
+       "                popup_d96e8b7e4aaf623f0ef50bfab8d2ff90.setContent(html_97967ff1bead9458604c92adf9e0bb37);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d0b1ee2087d164c10be4f1d0cadb75e5.bindPopup(popup_68bf1bb94a737fbe6ec4dec368fc64c5)\n",
+       "        marker_ae5543b4f47ffc11ce6ad8a9a93a2e56.bindPopup(popup_d96e8b7e4aaf623f0ef50bfab8d2ff90)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_16693f5d3b7cef87d8862f18d6e2fb1f = L.marker(\n",
+       "            var marker_e29a709d6cfcbfe6bb3049c5ec2aad8f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bfcc5246b928d0bfbab95234ff434a62 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0e701fa29eb4ee9ad5e7222cf1b9a5cb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_16693f5d3b7cef87d8862f18d6e2fb1f.setIcon(icon_bfcc5246b928d0bfbab95234ff434a62);\n",
+       "            marker_e29a709d6cfcbfe6bb3049c5ec2aad8f.setIcon(icon_0e701fa29eb4ee9ad5e7222cf1b9a5cb);\n",
        "        \n",
        "    \n",
-       "        var popup_563c5acaf4a4e97df6349d5ff2d505ee = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_f4e966d90df7c69b516b87ff5dfd8620 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8e1c438ae81cf99a5be952956d0b8512 = $(`&lt;div id=&quot;html_8e1c438ae81cf99a5be952956d0b8512&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Android (associated with Google Inc. or Open Handset Alliance)&lt;/b&gt; &lt;br&gt;https://source.android.com/security/bulletin&lt;/div&gt;`)[0];\n",
-       "                popup_563c5acaf4a4e97df6349d5ff2d505ee.setContent(html_8e1c438ae81cf99a5be952956d0b8512);\n",
+       "                var html_2e923d9d46e68ca8f106afe12d249e25 = $(`&lt;div id=&quot;html_2e923d9d46e68ca8f106afe12d249e25&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Android (associated with Google Inc. or Open Handset Alliance)&lt;/b&gt; &lt;br&gt;https://source.android.com/security/bulletin&lt;/div&gt;`)[0];\n",
+       "                popup_f4e966d90df7c69b516b87ff5dfd8620.setContent(html_2e923d9d46e68ca8f106afe12d249e25);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_16693f5d3b7cef87d8862f18d6e2fb1f.bindPopup(popup_563c5acaf4a4e97df6349d5ff2d505ee)\n",
+       "        marker_e29a709d6cfcbfe6bb3049c5ec2aad8f.bindPopup(popup_f4e966d90df7c69b516b87ff5dfd8620)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_bc241dcb8de30b314bc8b66dc11d2d93 = L.marker(\n",
+       "            var marker_e8f580d62e629db5df1a5b9fa9116031 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_66235cccb96cea89cee293882eb5368d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7b8bf6a72ef1802a330966d7c47310aa = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_bc241dcb8de30b314bc8b66dc11d2d93.setIcon(icon_66235cccb96cea89cee293882eb5368d);\n",
+       "            marker_e8f580d62e629db5df1a5b9fa9116031.setIcon(icon_7b8bf6a72ef1802a330966d7c47310aa);\n",
        "        \n",
        "    \n",
-       "        var popup_a83999a0516f38491b9b6764d5124c70 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_29b5e35458e3b4ced703ced8bec3eb10 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_036f13e853b7ef1874f8d85c5d7b91b3 = $(`&lt;div id=&quot;html_036f13e853b7ef1874f8d85c5d7b91b3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Apache Software Foundation&lt;/b&gt; &lt;br&gt;https://www.openwall.com/lists/oss-security&lt;/div&gt;`)[0];\n",
-       "                popup_a83999a0516f38491b9b6764d5124c70.setContent(html_036f13e853b7ef1874f8d85c5d7b91b3);\n",
+       "                var html_e19ed589fdb71316d3b7e947274f7338 = $(`&lt;div id=&quot;html_e19ed589fdb71316d3b7e947274f7338&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Apache Software Foundation&lt;/b&gt; &lt;br&gt;https://www.openwall.com/lists/oss-security&lt;/div&gt;`)[0];\n",
+       "                popup_29b5e35458e3b4ced703ced8bec3eb10.setContent(html_e19ed589fdb71316d3b7e947274f7338);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_bc241dcb8de30b314bc8b66dc11d2d93.bindPopup(popup_a83999a0516f38491b9b6764d5124c70)\n",
+       "        marker_e8f580d62e629db5df1a5b9fa9116031.bindPopup(popup_29b5e35458e3b4ced703ced8bec3eb10)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a0bc83b638d942b4d3cef4151b5c1b27 = L.marker(\n",
+       "            var marker_d0728034bd261cd8844d4306dfa45804 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_679041bf07cc9213de5087d7895191b3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c26a17506f03928c026096809c134db0 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a0bc83b638d942b4d3cef4151b5c1b27.setIcon(icon_679041bf07cc9213de5087d7895191b3);\n",
+       "            marker_d0728034bd261cd8844d4306dfa45804.setIcon(icon_c26a17506f03928c026096809c134db0);\n",
        "        \n",
        "    \n",
-       "        var popup_c988b14e94d43780fa6ac38ecd2340a2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_367c5dd6783617e437d94978bfd7197f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6da81966f66fb04240ba6c42ab57982f = $(`&lt;div id=&quot;html_6da81966f66fb04240ba6c42ab57982f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Apple Inc.&lt;/b&gt; &lt;br&gt;https://support.apple.com/en-us/HT201222&lt;/div&gt;`)[0];\n",
-       "                popup_c988b14e94d43780fa6ac38ecd2340a2.setContent(html_6da81966f66fb04240ba6c42ab57982f);\n",
+       "                var html_458d353c65f43def0b7cb93ac8569d5b = $(`&lt;div id=&quot;html_458d353c65f43def0b7cb93ac8569d5b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Apple Inc.&lt;/b&gt; &lt;br&gt;https://support.apple.com/en-us/HT201222&lt;/div&gt;`)[0];\n",
+       "                popup_367c5dd6783617e437d94978bfd7197f.setContent(html_458d353c65f43def0b7cb93ac8569d5b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a0bc83b638d942b4d3cef4151b5c1b27.bindPopup(popup_c988b14e94d43780fa6ac38ecd2340a2)\n",
+       "        marker_d0728034bd261cd8844d4306dfa45804.bindPopup(popup_367c5dd6783617e437d94978bfd7197f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_bed818ccafd062120d25d25ac67b5ac9 = L.marker(\n",
+       "            var marker_08d994064a209053009c8f760ac2a276 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6c457f6b35d4defd6fdeadff63e38ae3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b42937b61f1d2f3312cecd00fa3d8aff = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_bed818ccafd062120d25d25ac67b5ac9.setIcon(icon_6c457f6b35d4defd6fdeadff63e38ae3);\n",
+       "            marker_08d994064a209053009c8f760ac2a276.setIcon(icon_b42937b61f1d2f3312cecd00fa3d8aff);\n",
        "        \n",
        "    \n",
-       "        var popup_7b2e8990c2b1411ebea3b93f607e0028 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_849791935054c7e6aae664ba83fd40cb = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_076a27b030f9e4cd0d94a5de0d081295 = $(`&lt;div id=&quot;html_076a27b030f9e4cd0d94a5de0d081295&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Arista Networks, Inc.&lt;/b&gt; &lt;br&gt;https://www.arista.com/en/support/advisories-notices&lt;/div&gt;`)[0];\n",
-       "                popup_7b2e8990c2b1411ebea3b93f607e0028.setContent(html_076a27b030f9e4cd0d94a5de0d081295);\n",
+       "                var html_55fcb0925dd4274568a041b7ed759736 = $(`&lt;div id=&quot;html_55fcb0925dd4274568a041b7ed759736&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Arista Networks, Inc.&lt;/b&gt; &lt;br&gt;https://www.arista.com/en/support/advisories-notices&lt;/div&gt;`)[0];\n",
+       "                popup_849791935054c7e6aae664ba83fd40cb.setContent(html_55fcb0925dd4274568a041b7ed759736);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_bed818ccafd062120d25d25ac67b5ac9.bindPopup(popup_7b2e8990c2b1411ebea3b93f607e0028)\n",
+       "        marker_08d994064a209053009c8f760ac2a276.bindPopup(popup_849791935054c7e6aae664ba83fd40cb)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_10843f153c3e0ffbc2ea99eb4e6db714 = L.marker(\n",
+       "            var marker_5bcf5e3b76d76823bc82873a88a330e2 = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_80a0e9a1b59047e6bb200b920d405eae = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0665fe9a6a41f1a099dec788ca32fe4b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_10843f153c3e0ffbc2ea99eb4e6db714.setIcon(icon_80a0e9a1b59047e6bb200b920d405eae);\n",
+       "            marker_5bcf5e3b76d76823bc82873a88a330e2.setIcon(icon_0665fe9a6a41f1a099dec788ca32fe4b);\n",
        "        \n",
        "    \n",
-       "        var popup_833cbcc4aecc0b8ca6eec92f8e95601f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3a17b33571d2b38cc1181a23bdcd2ec8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_477b2a7b3d3d0c37b0bda7cd80d0c8d5 = $(`&lt;div id=&quot;html_477b2a7b3d3d0c37b0bda7cd80d0c8d5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Asea Brown Boveri Ltd. (ABB)&lt;/b&gt; &lt;br&gt;https://global.abb/group/en/technology/cyber-security/alerts-and-notifications&lt;/div&gt;`)[0];\n",
-       "                popup_833cbcc4aecc0b8ca6eec92f8e95601f.setContent(html_477b2a7b3d3d0c37b0bda7cd80d0c8d5);\n",
+       "                var html_63b45a6673f70f78859477c3d99e1657 = $(`&lt;div id=&quot;html_63b45a6673f70f78859477c3d99e1657&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Asea Brown Boveri Ltd. (ABB)&lt;/b&gt; &lt;br&gt;https://global.abb/group/en/technology/cyber-security/alerts-and-notifications&lt;/div&gt;`)[0];\n",
+       "                popup_3a17b33571d2b38cc1181a23bdcd2ec8.setContent(html_63b45a6673f70f78859477c3d99e1657);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_10843f153c3e0ffbc2ea99eb4e6db714.bindPopup(popup_833cbcc4aecc0b8ca6eec92f8e95601f)\n",
+       "        marker_5bcf5e3b76d76823bc82873a88a330e2.bindPopup(popup_3a17b33571d2b38cc1181a23bdcd2ec8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_393d40fcd2c25356ba0113c884ecaced = L.marker(\n",
+       "            var marker_caf032d427e37580ce00b68c639e30dc = L.marker(\n",
        "                [-24.7761086, 134.755],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_213b8708813ca19c553c53d657757ee7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_99f09684253149fa391a6f6ae89a3f5a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_393d40fcd2c25356ba0113c884ecaced.setIcon(icon_213b8708813ca19c553c53d657757ee7);\n",
+       "            marker_caf032d427e37580ce00b68c639e30dc.setIcon(icon_99f09684253149fa391a6f6ae89a3f5a);\n",
        "        \n",
        "    \n",
-       "        var popup_a81d03f93775116e34f515eb777149bf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bd7dd7944ed961a82099731d2e3eabfe = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f5a63596d3435dc4ed3d292c64f47d78 = $(`&lt;div id=&quot;html_f5a63596d3435dc4ed3d292c64f47d78&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Atlassian&lt;/b&gt; &lt;br&gt;https://www.atlassian.com/trust/security/advisory-publishing-policy&lt;/div&gt;`)[0];\n",
-       "                popup_a81d03f93775116e34f515eb777149bf.setContent(html_f5a63596d3435dc4ed3d292c64f47d78);\n",
+       "                var html_c7e8223f99229fa27a6548746e22ca94 = $(`&lt;div id=&quot;html_c7e8223f99229fa27a6548746e22ca94&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Atlassian&lt;/b&gt; &lt;br&gt;https://www.atlassian.com/trust/security/advisory-publishing-policy&lt;/div&gt;`)[0];\n",
+       "                popup_bd7dd7944ed961a82099731d2e3eabfe.setContent(html_c7e8223f99229fa27a6548746e22ca94);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_393d40fcd2c25356ba0113c884ecaced.bindPopup(popup_a81d03f93775116e34f515eb777149bf)\n",
+       "        marker_caf032d427e37580ce00b68c639e30dc.bindPopup(popup_bd7dd7944ed961a82099731d2e3eabfe)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2e37fd47a50a350c464af77d12498acf = L.marker(\n",
+       "            var marker_de878fec2a81dd28f9153e35b2c1091d = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_75c42e7817682838528a8671426755ad = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_32a94354b66165ef7d19ad020b36a7aa = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2e37fd47a50a350c464af77d12498acf.setIcon(icon_75c42e7817682838528a8671426755ad);\n",
+       "            marker_de878fec2a81dd28f9153e35b2c1091d.setIcon(icon_32a94354b66165ef7d19ad020b36a7aa);\n",
        "        \n",
        "    \n",
-       "        var popup_38f7f822f2b7063120f4efc6d0ab4961 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_af7dfb090a01547bb7e1a1ff98748065 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d311a51ba99ef5c2100bc573e6329555 = $(`&lt;div id=&quot;html_d311a51ba99ef5c2100bc573e6329555&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Autodesk&lt;/b&gt; &lt;br&gt;https://www.autodesk.com/trust/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_38f7f822f2b7063120f4efc6d0ab4961.setContent(html_d311a51ba99ef5c2100bc573e6329555);\n",
+       "                var html_1528d3c0edbe3315641264646225fba3 = $(`&lt;div id=&quot;html_1528d3c0edbe3315641264646225fba3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Autodesk&lt;/b&gt; &lt;br&gt;https://www.autodesk.com/trust/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_af7dfb090a01547bb7e1a1ff98748065.setContent(html_1528d3c0edbe3315641264646225fba3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2e37fd47a50a350c464af77d12498acf.bindPopup(popup_38f7f822f2b7063120f4efc6d0ab4961)\n",
+       "        marker_de878fec2a81dd28f9153e35b2c1091d.bindPopup(popup_af7dfb090a01547bb7e1a1ff98748065)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0eca972435ad8cb644cfac5df31cbddd = L.marker(\n",
+       "            var marker_7f1ba256742e6be546d66c4dff2b9322 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8f0f62d680853ff75dc886b275a51277 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9da822c53ca8b7d9c0eeb305fa0e7391 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0eca972435ad8cb644cfac5df31cbddd.setIcon(icon_8f0f62d680853ff75dc886b275a51277);\n",
+       "            marker_7f1ba256742e6be546d66c4dff2b9322.setIcon(icon_9da822c53ca8b7d9c0eeb305fa0e7391);\n",
        "        \n",
        "    \n",
-       "        var popup_5a468fb2375dffc7b67d799fa403a195 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_52a35235afbccf7ae88d373206beae5e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9bd533746b192c4108864c77f118cc59 = $(`&lt;div id=&quot;html_9bd533746b192c4108864c77f118cc59&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Avaya, Inc.&lt;/b&gt; &lt;br&gt;https://support.avaya.com/security&lt;/div&gt;`)[0];\n",
-       "                popup_5a468fb2375dffc7b67d799fa403a195.setContent(html_9bd533746b192c4108864c77f118cc59);\n",
+       "                var html_cb13eb5c0c12af648f6e1b22b545edfd = $(`&lt;div id=&quot;html_cb13eb5c0c12af648f6e1b22b545edfd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Avaya, Inc.&lt;/b&gt; &lt;br&gt;https://support.avaya.com/security&lt;/div&gt;`)[0];\n",
+       "                popup_52a35235afbccf7ae88d373206beae5e.setContent(html_cb13eb5c0c12af648f6e1b22b545edfd);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0eca972435ad8cb644cfac5df31cbddd.bindPopup(popup_5a468fb2375dffc7b67d799fa403a195)\n",
+       "        marker_7f1ba256742e6be546d66c4dff2b9322.bindPopup(popup_52a35235afbccf7ae88d373206beae5e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a43c3a932819ce2df82c4d62c951b5c8 = L.marker(\n",
+       "            var marker_ac2256ebe344e52bbfe1b4276f1a22de = L.marker(\n",
        "                [59.6749712, 14.5208584],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_24c6d4866598173bf034a58c772e6771 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8e00a1d092cfedec9cd42c9a67db55b2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a43c3a932819ce2df82c4d62c951b5c8.setIcon(icon_24c6d4866598173bf034a58c772e6771);\n",
+       "            marker_ac2256ebe344e52bbfe1b4276f1a22de.setIcon(icon_8e00a1d092cfedec9cd42c9a67db55b2);\n",
        "        \n",
        "    \n",
-       "        var popup_b4bb446251ef25f93a9e4e041ea7943f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0f5ca53efb4b01d6e5e6f561b925cf68 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_74554d1cff068301452c417e6af8a165 = $(`&lt;div id=&quot;html_74554d1cff068301452c417e6af8a165&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Axis Communications AB&lt;/b&gt; &lt;br&gt;https://www.axis.com/support/cybersecurity/vulnerability-management&lt;/div&gt;`)[0];\n",
-       "                popup_b4bb446251ef25f93a9e4e041ea7943f.setContent(html_74554d1cff068301452c417e6af8a165);\n",
+       "                var html_e4d44f6fa746612f824ab4e39a7fb259 = $(`&lt;div id=&quot;html_e4d44f6fa746612f824ab4e39a7fb259&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Axis Communications AB&lt;/b&gt; &lt;br&gt;https://www.axis.com/support/cybersecurity/vulnerability-management&lt;/div&gt;`)[0];\n",
+       "                popup_0f5ca53efb4b01d6e5e6f561b925cf68.setContent(html_e4d44f6fa746612f824ab4e39a7fb259);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a43c3a932819ce2df82c4d62c951b5c8.bindPopup(popup_b4bb446251ef25f93a9e4e041ea7943f)\n",
+       "        marker_ac2256ebe344e52bbfe1b4276f1a22de.bindPopup(popup_0f5ca53efb4b01d6e5e6f561b925cf68)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e5268766367224b6a8e03fb9b2eb8533 = L.marker(\n",
+       "            var marker_bfbd2c1c253f555edf11588aafa3c192 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7245b21f8f107c7ef519054d03947d9b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b5f2fe8824bf1ffd2df1ee750c06b3cf = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e5268766367224b6a8e03fb9b2eb8533.setIcon(icon_7245b21f8f107c7ef519054d03947d9b);\n",
+       "            marker_bfbd2c1c253f555edf11588aafa3c192.setIcon(icon_b5f2fe8824bf1ffd2df1ee750c06b3cf);\n",
        "        \n",
        "    \n",
-       "        var popup_0f8788529185f2e5a2a93a25f79b4b81 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e2a81ddc2ce4c149d4c766a45986c421 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_aa061a344c914e60426db14f09b54019 = $(`&lt;div id=&quot;html_aa061a344c914e60426db14f09b54019&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Becton, Dickinson and Company (BD)&lt;/b&gt; &lt;br&gt;https://cybersecurity.bd.com/bulletins-and-patches&lt;/div&gt;`)[0];\n",
-       "                popup_0f8788529185f2e5a2a93a25f79b4b81.setContent(html_aa061a344c914e60426db14f09b54019);\n",
+       "                var html_23c8baea85cb3184648b5cbbd2b2a245 = $(`&lt;div id=&quot;html_23c8baea85cb3184648b5cbbd2b2a245&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Becton, Dickinson and Company (BD)&lt;/b&gt; &lt;br&gt;https://cybersecurity.bd.com/bulletins-and-patches&lt;/div&gt;`)[0];\n",
+       "                popup_e2a81ddc2ce4c149d4c766a45986c421.setContent(html_23c8baea85cb3184648b5cbbd2b2a245);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e5268766367224b6a8e03fb9b2eb8533.bindPopup(popup_0f8788529185f2e5a2a93a25f79b4b81)\n",
+       "        marker_bfbd2c1c253f555edf11588aafa3c192.bindPopup(popup_e2a81ddc2ce4c149d4c766a45986c421)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_bd2b1b5fd87c9d14ad9575409fe503f8 = L.marker(\n",
+       "            var marker_a3f972bd6e23e1401add93457cd42bd7 = L.marker(\n",
        "                [45.9852129, 24.6859225],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_96441d3d941d460dbb0fbb44a686cff2 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_86d6f7d0d6c8d152a8a1906580e94bd4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_bd2b1b5fd87c9d14ad9575409fe503f8.setIcon(icon_96441d3d941d460dbb0fbb44a686cff2);\n",
+       "            marker_a3f972bd6e23e1401add93457cd42bd7.setIcon(icon_86d6f7d0d6c8d152a8a1906580e94bd4);\n",
        "        \n",
        "    \n",
-       "        var popup_cb6d3b6424d17ecc5cd6d48b9d8806d7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_f92b4d1e37f5912b7bf38431dbb22550 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b5fe24c15315630120fab0be93dfc640 = $(`&lt;div id=&quot;html_b5fe24c15315630120fab0be93dfc640&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Bitdefender&lt;/b&gt; &lt;br&gt;https://www.bitdefender.com/support/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_cb6d3b6424d17ecc5cd6d48b9d8806d7.setContent(html_b5fe24c15315630120fab0be93dfc640);\n",
+       "                var html_3f3e3b4da5e1c55c047f55d7bdd3b4b7 = $(`&lt;div id=&quot;html_3f3e3b4da5e1c55c047f55d7bdd3b4b7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Bitdefender&lt;/b&gt; &lt;br&gt;https://www.bitdefender.com/support/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_f92b4d1e37f5912b7bf38431dbb22550.setContent(html_3f3e3b4da5e1c55c047f55d7bdd3b4b7);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_bd2b1b5fd87c9d14ad9575409fe503f8.bindPopup(popup_cb6d3b6424d17ecc5cd6d48b9d8806d7)\n",
+       "        marker_a3f972bd6e23e1401add93457cd42bd7.bindPopup(popup_f92b4d1e37f5912b7bf38431dbb22550)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_1abbe26dece5d3e0ccea0c3615fc1a29 = L.marker(\n",
+       "            var marker_a8c64c5335dce4bb91623c09ffcafe92 = L.marker(\n",
        "                [61.0666922, -107.991707],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4ef32f4f4b594d29fd8b662ffed881cb = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_251c78118fced425ed6b9fd5cfae63b5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_1abbe26dece5d3e0ccea0c3615fc1a29.setIcon(icon_4ef32f4f4b594d29fd8b662ffed881cb);\n",
+       "            marker_a8c64c5335dce4bb91623c09ffcafe92.setIcon(icon_251c78118fced425ed6b9fd5cfae63b5);\n",
        "        \n",
        "    \n",
-       "        var popup_fc86c49022a3a49df4c7e19e9e36c427 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1905e89257fa6ce1c4287705e59acb87 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_777f473f5fc18c16303a1e5e7b2e25be = $(`&lt;div id=&quot;html_777f473f5fc18c16303a1e5e7b2e25be&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;BlackBerry&lt;/b&gt; &lt;br&gt;https://www.blackberry.com/us/en/services/blackberry-product-security-incident-response&lt;/div&gt;`)[0];\n",
-       "                popup_fc86c49022a3a49df4c7e19e9e36c427.setContent(html_777f473f5fc18c16303a1e5e7b2e25be);\n",
+       "                var html_18866333a054ceeb2600cb1c4ea558f8 = $(`&lt;div id=&quot;html_18866333a054ceeb2600cb1c4ea558f8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;BlackBerry&lt;/b&gt; &lt;br&gt;https://www.blackberry.com/us/en/services/blackberry-product-security-incident-response&lt;/div&gt;`)[0];\n",
+       "                popup_1905e89257fa6ce1c4287705e59acb87.setContent(html_18866333a054ceeb2600cb1c4ea558f8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_1abbe26dece5d3e0ccea0c3615fc1a29.bindPopup(popup_fc86c49022a3a49df4c7e19e9e36c427)\n",
+       "        marker_a8c64c5335dce4bb91623c09ffcafe92.bindPopup(popup_1905e89257fa6ce1c4287705e59acb87)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_743bd5595f7194e3786d9d20542a55f7 = L.marker(\n",
+       "            var marker_a125d08ca45b46a08dd57e0f3b53cab1 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8555b2edc1367fdf1428ee800c416a06 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_36ca2a9fa55ac9b53a7550ed96c5440d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_743bd5595f7194e3786d9d20542a55f7.setIcon(icon_8555b2edc1367fdf1428ee800c416a06);\n",
+       "            marker_a125d08ca45b46a08dd57e0f3b53cab1.setIcon(icon_36ca2a9fa55ac9b53a7550ed96c5440d);\n",
        "        \n",
        "    \n",
-       "        var popup_3a7a8c743dc1b608f5fe60c5115c52fb = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_22b39edf0227625ff116acb50fbe1d77 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_be8e59623868168e9af38fe5925749cd = $(`&lt;div id=&quot;html_be8e59623868168e9af38fe5925749cd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Brocade Communications Systems, LLC&lt;/b&gt; &lt;br&gt;https://www.broadcom.com/support/fibre-channel-networking/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_3a7a8c743dc1b608f5fe60c5115c52fb.setContent(html_be8e59623868168e9af38fe5925749cd);\n",
+       "                var html_c310c2887cff1e18c2f16c8bd0824cf5 = $(`&lt;div id=&quot;html_c310c2887cff1e18c2f16c8bd0824cf5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Brocade Communications Systems, LLC&lt;/b&gt; &lt;br&gt;https://www.broadcom.com/support/fibre-channel-networking/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_22b39edf0227625ff116acb50fbe1d77.setContent(html_c310c2887cff1e18c2f16c8bd0824cf5);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_743bd5595f7194e3786d9d20542a55f7.bindPopup(popup_3a7a8c743dc1b608f5fe60c5115c52fb)\n",
+       "        marker_a125d08ca45b46a08dd57e0f3b53cab1.bindPopup(popup_22b39edf0227625ff116acb50fbe1d77)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a65c93115f30124eb278e56b6e331228 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_d08c4a5d4dbc79e3bfb801ba6f880acb = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_24a359cae4440990f46403b3fbc87409 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7faa438b11a5d579d89207da707e0e29 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a65c93115f30124eb278e56b6e331228.setIcon(icon_24a359cae4440990f46403b3fbc87409);\n",
+       "            marker_d08c4a5d4dbc79e3bfb801ba6f880acb.setIcon(icon_7faa438b11a5d579d89207da707e0e29);\n",
        "        \n",
        "    \n",
-       "        var popup_2a36c8daf456bfdfd8df8068f0af66dc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_129555eb1d1a11917712b00ba4cb76de = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2f369b39b3320a1aff20178cc15107dd = $(`&lt;div id=&quot;html_2f369b39b3320a1aff20178cc15107dd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Canonical Ltd.&lt;/b&gt; &lt;br&gt;https://usn.ubuntu.com/&lt;/div&gt;`)[0];\n",
-       "                popup_2a36c8daf456bfdfd8df8068f0af66dc.setContent(html_2f369b39b3320a1aff20178cc15107dd);\n",
+       "                var html_e599f54168e5ec82d2061a8dd6fab188 = $(`&lt;div id=&quot;html_e599f54168e5ec82d2061a8dd6fab188&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Canonical Ltd.&lt;/b&gt; &lt;br&gt;https://usn.ubuntu.com/&lt;/div&gt;`)[0];\n",
+       "                popup_129555eb1d1a11917712b00ba4cb76de.setContent(html_e599f54168e5ec82d2061a8dd6fab188);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a65c93115f30124eb278e56b6e331228.bindPopup(popup_2a36c8daf456bfdfd8df8068f0af66dc)\n",
+       "        marker_d08c4a5d4dbc79e3bfb801ba6f880acb.bindPopup(popup_129555eb1d1a11917712b00ba4cb76de)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_73e492795a16f627f21ffe68f0ad445d = L.marker(\n",
+       "            var marker_774b8bc2f56084b053301fadeb363dd9 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_244581bce4191d41c13df67dbe0aa8eb = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5d18b04c036c273593d0ca3883cc8535 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_73e492795a16f627f21ffe68f0ad445d.setIcon(icon_244581bce4191d41c13df67dbe0aa8eb);\n",
+       "            marker_774b8bc2f56084b053301fadeb363dd9.setIcon(icon_5d18b04c036c273593d0ca3883cc8535);\n",
        "        \n",
        "    \n",
-       "        var popup_a57c7b9049f698cb8ac2e3ef8759a939 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_87bd8d332d2a53abaf38fdf16c9d8286 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_02f483696a717d17ead8460f7fad6d7b = $(`&lt;div id=&quot;html_02f483696a717d17ead8460f7fad6d7b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CA Technologies - A Broadcom Company&lt;/b&gt; &lt;br&gt;https://support.broadcom.com/security-advisory/security-advisories-list.html?segment=ES&lt;/div&gt;`)[0];\n",
-       "                popup_a57c7b9049f698cb8ac2e3ef8759a939.setContent(html_02f483696a717d17ead8460f7fad6d7b);\n",
+       "                var html_7836423250def84d8ba54385815b8cda = $(`&lt;div id=&quot;html_7836423250def84d8ba54385815b8cda&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CA Technologies - A Broadcom Company&lt;/b&gt; &lt;br&gt;https://support.broadcom.com/security-advisory/security-advisories-list.html?segment=ES&lt;/div&gt;`)[0];\n",
+       "                popup_87bd8d332d2a53abaf38fdf16c9d8286.setContent(html_7836423250def84d8ba54385815b8cda);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_73e492795a16f627f21ffe68f0ad445d.bindPopup(popup_a57c7b9049f698cb8ac2e3ef8759a939)\n",
+       "        marker_774b8bc2f56084b053301fadeb363dd9.bindPopup(popup_87bd8d332d2a53abaf38fdf16c9d8286)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_184a973f147d9a74a38292455df144c6 = L.marker(\n",
+       "            var marker_9679bab63acdb35821bba7cb2fd89130 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8ca2d3ea4cd1702735c696497c7d1bf3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_18f90e9eaa201f6da7d44a97fef65e5b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_184a973f147d9a74a38292455df144c6.setIcon(icon_8ca2d3ea4cd1702735c696497c7d1bf3);\n",
+       "            marker_9679bab63acdb35821bba7cb2fd89130.setIcon(icon_18f90e9eaa201f6da7d44a97fef65e5b);\n",
        "        \n",
        "    \n",
-       "        var popup_d04712f5daca52358024d6428374bc49 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8214715e3da06e24da9556146609db15 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_82a4fb03d1818482d9beaf412661bae6 = $(`&lt;div id=&quot;html_82a4fb03d1818482d9beaf412661bae6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CERT/CC&lt;/b&gt; &lt;br&gt;https://www.kb.cert.org/vuls/bypublished/desc/&lt;/div&gt;`)[0];\n",
-       "                popup_d04712f5daca52358024d6428374bc49.setContent(html_82a4fb03d1818482d9beaf412661bae6);\n",
+       "                var html_894420eb1845a50c8d466ce13895626b = $(`&lt;div id=&quot;html_894420eb1845a50c8d466ce13895626b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CERT/CC&lt;/b&gt; &lt;br&gt;https://www.kb.cert.org/vuls/bypublished/desc/&lt;/div&gt;`)[0];\n",
+       "                popup_8214715e3da06e24da9556146609db15.setContent(html_894420eb1845a50c8d466ce13895626b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_184a973f147d9a74a38292455df144c6.bindPopup(popup_d04712f5daca52358024d6428374bc49)\n",
+       "        marker_9679bab63acdb35821bba7cb2fd89130.bindPopup(popup_8214715e3da06e24da9556146609db15)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6b912d8badc0bbbbeeaf4eb3a40bac71 = L.marker(\n",
+       "            var marker_335b5812e8dce48647c853fb308c4d82 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_48fd1aeafd6cd7491c59c1852352e618 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_57fdc15b41fa6322fdc115a736f1b871 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6b912d8badc0bbbbeeaf4eb3a40bac71.setIcon(icon_48fd1aeafd6cd7491c59c1852352e618);\n",
+       "            marker_335b5812e8dce48647c853fb308c4d82.setIcon(icon_57fdc15b41fa6322fdc115a736f1b871);\n",
        "        \n",
        "    \n",
-       "        var popup_a9a9d9fba815ea60bb9d41a50796f07c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8674daf55732f689119ef20c247032b3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4a619a1bcff1ec4a9c7a46d87206fc65 = $(`&lt;div id=&quot;html_4a619a1bcff1ec4a9c7a46d87206fc65&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CERT@VDE&lt;/b&gt; &lt;br&gt;https://cert.vde.com/en-us/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_a9a9d9fba815ea60bb9d41a50796f07c.setContent(html_4a619a1bcff1ec4a9c7a46d87206fc65);\n",
+       "                var html_a8c10f104feac6f5a4d9d4878465b9c8 = $(`&lt;div id=&quot;html_a8c10f104feac6f5a4d9d4878465b9c8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CERT@VDE&lt;/b&gt; &lt;br&gt;https://cert.vde.com/en-us/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_8674daf55732f689119ef20c247032b3.setContent(html_a8c10f104feac6f5a4d9d4878465b9c8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6b912d8badc0bbbbeeaf4eb3a40bac71.bindPopup(popup_a9a9d9fba815ea60bb9d41a50796f07c)\n",
+       "        marker_335b5812e8dce48647c853fb308c4d82.bindPopup(popup_8674daf55732f689119ef20c247032b3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b3336ea414a8d6af2f6d54182bd3536e = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_ea10529470d7343a5181b81a317ea39e = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_35b373ecc35a3ef45e6efd9e13e4105e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f601a8cebba3aef7ec3fdd321ef26b36 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b3336ea414a8d6af2f6d54182bd3536e.setIcon(icon_35b373ecc35a3ef45e6efd9e13e4105e);\n",
+       "            marker_ea10529470d7343a5181b81a317ea39e.setIcon(icon_f601a8cebba3aef7ec3fdd321ef26b36);\n",
        "        \n",
        "    \n",
-       "        var popup_7a87dd5ad9159cddd62ae272bc3257da = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3f94207571487697af1b44bfc254478d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_46822de8bb4c48641df800b909fade9a = $(`&lt;div id=&quot;html_46822de8bb4c48641df800b909fade9a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Check Point Software Ltd.&lt;/b&gt; &lt;br&gt;https://www.checkpoint.com/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_7a87dd5ad9159cddd62ae272bc3257da.setContent(html_46822de8bb4c48641df800b909fade9a);\n",
+       "                var html_91f97136ca18c51a87787b0115ca73fe = $(`&lt;div id=&quot;html_91f97136ca18c51a87787b0115ca73fe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Check Point Software Ltd.&lt;/b&gt; &lt;br&gt;https://www.checkpoint.com/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_3f94207571487697af1b44bfc254478d.setContent(html_91f97136ca18c51a87787b0115ca73fe);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b3336ea414a8d6af2f6d54182bd3536e.bindPopup(popup_7a87dd5ad9159cddd62ae272bc3257da)\n",
+       "        marker_ea10529470d7343a5181b81a317ea39e.bindPopup(popup_3f94207571487697af1b44bfc254478d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_44515ec5e4c74c3b15de35dbec0a5b3b = L.marker(\n",
+       "            var marker_a1168fd588973d41689ea067f1793c1f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_19d19a8a54a89fd13c82d69ebe0e55b6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_38b35bd89eba79a350d35a5beb7bee28 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_44515ec5e4c74c3b15de35dbec0a5b3b.setIcon(icon_19d19a8a54a89fd13c82d69ebe0e55b6);\n",
+       "            marker_a1168fd588973d41689ea067f1793c1f.setIcon(icon_38b35bd89eba79a350d35a5beb7bee28);\n",
        "        \n",
        "    \n",
-       "        var popup_de5c6b7d6bcd5aa8e614650c067da6d5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d211d249e0189f85ea23218464f0dec8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0bf8fcfdb8d6e99607b21ef9ec219e15 = $(`&lt;div id=&quot;html_0bf8fcfdb8d6e99607b21ef9ec219e15&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Chrome&lt;/b&gt; &lt;br&gt;https://chromereleases.googleblog.com/&lt;/div&gt;`)[0];\n",
-       "                popup_de5c6b7d6bcd5aa8e614650c067da6d5.setContent(html_0bf8fcfdb8d6e99607b21ef9ec219e15);\n",
+       "                var html_49bb0f79107c4e6e575d41f2b406bf4c = $(`&lt;div id=&quot;html_49bb0f79107c4e6e575d41f2b406bf4c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Chrome&lt;/b&gt; &lt;br&gt;https://chromereleases.googleblog.com/&lt;/div&gt;`)[0];\n",
+       "                popup_d211d249e0189f85ea23218464f0dec8.setContent(html_49bb0f79107c4e6e575d41f2b406bf4c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_44515ec5e4c74c3b15de35dbec0a5b3b.bindPopup(popup_de5c6b7d6bcd5aa8e614650c067da6d5)\n",
+       "        marker_a1168fd588973d41689ea067f1793c1f.bindPopup(popup_d211d249e0189f85ea23218464f0dec8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f77fd0418f05a78ed4db69d269ff86a9 = L.marker(\n",
+       "            var marker_69bc3e3ac7ac7a95da24b49ddcdcc5b2 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_56b7c5d14f0ba1512a5f867b54fb7a35 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2a2a4741b90e6fb3901f644eb4876e8c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f77fd0418f05a78ed4db69d269ff86a9.setIcon(icon_56b7c5d14f0ba1512a5f867b54fb7a35);\n",
+       "            marker_69bc3e3ac7ac7a95da24b49ddcdcc5b2.setIcon(icon_2a2a4741b90e6fb3901f644eb4876e8c);\n",
        "        \n",
        "    \n",
-       "        var popup_e239569e3d8fd549d8a42415405d7731 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_f05291a47a01162abc6d2539380a04f1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_124b696b0e0d52803199cc8deefbde8d = $(`&lt;div id=&quot;html_124b696b0e0d52803199cc8deefbde8d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cisco Systems, Inc.&lt;/b&gt; &lt;br&gt;https://tools.cisco.com/security/center/resources/security_vulnerability_policy.html#sa&lt;/div&gt;`)[0];\n",
-       "                popup_e239569e3d8fd549d8a42415405d7731.setContent(html_124b696b0e0d52803199cc8deefbde8d);\n",
+       "                var html_c9e915700e5fb8be8008790cc632453b = $(`&lt;div id=&quot;html_c9e915700e5fb8be8008790cc632453b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cisco Systems, Inc.&lt;/b&gt; &lt;br&gt;https://tools.cisco.com/security/center/resources/security_vulnerability_policy.html#sa&lt;/div&gt;`)[0];\n",
+       "                popup_f05291a47a01162abc6d2539380a04f1.setContent(html_c9e915700e5fb8be8008790cc632453b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f77fd0418f05a78ed4db69d269ff86a9.bindPopup(popup_e239569e3d8fd549d8a42415405d7731)\n",
+       "        marker_69bc3e3ac7ac7a95da24b49ddcdcc5b2.bindPopup(popup_f05291a47a01162abc6d2539380a04f1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_60eccebaaf0d99b297a5e8be4a99dce6 = L.marker(\n",
+       "            var marker_9a5313beb893c024a2dbb5a5bad3bb2d = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bcd9730be909a84e5c576ca40096de28 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_445b755f22a941884eec0bed2514e414 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_60eccebaaf0d99b297a5e8be4a99dce6.setIcon(icon_bcd9730be909a84e5c576ca40096de28);\n",
+       "            marker_9a5313beb893c024a2dbb5a5bad3bb2d.setIcon(icon_445b755f22a941884eec0bed2514e414);\n",
        "        \n",
        "    \n",
-       "        var popup_c48ad90778c645b7dc1f0c7b70188466 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1083da674afd4e9bb3ab5582af805809 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4bcb553c70fad64660dd07ff7a8e777e = $(`&lt;div id=&quot;html_4bcb553c70fad64660dd07ff7a8e777e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cloudflare, Inc.&lt;/b&gt; &lt;br&gt;https://hackerone.com/cloudflare/hacktivity&lt;/div&gt;`)[0];\n",
-       "                popup_c48ad90778c645b7dc1f0c7b70188466.setContent(html_4bcb553c70fad64660dd07ff7a8e777e);\n",
+       "                var html_76a1cb73471838564f18b24d5266efd6 = $(`&lt;div id=&quot;html_76a1cb73471838564f18b24d5266efd6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cloudflare, Inc.&lt;/b&gt; &lt;br&gt;https://hackerone.com/cloudflare/hacktivity&lt;/div&gt;`)[0];\n",
+       "                popup_1083da674afd4e9bb3ab5582af805809.setContent(html_76a1cb73471838564f18b24d5266efd6);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_60eccebaaf0d99b297a5e8be4a99dce6.bindPopup(popup_c48ad90778c645b7dc1f0c7b70188466)\n",
+       "        marker_9a5313beb893c024a2dbb5a5bad3bb2d.bindPopup(popup_1083da674afd4e9bb3ab5582af805809)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_450ee3c9a2ce68979c46b25be1eb5093 = L.marker(\n",
+       "            var marker_dfadf3dbeb6bfed8b9b3a5e4115c28b0 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_fce66bfa4352b51a6ac4800209f13149 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c895695e77c93e71f057addadfdab9df = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_450ee3c9a2ce68979c46b25be1eb5093.setIcon(icon_fce66bfa4352b51a6ac4800209f13149);\n",
+       "            marker_dfadf3dbeb6bfed8b9b3a5e4115c28b0.setIcon(icon_c895695e77c93e71f057addadfdab9df);\n",
        "        \n",
        "    \n",
-       "        var popup_4255a43eab4345c59843a7c4fe45568b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1097a871c6a7b60c94289db9dfd1ca69 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f271d2431f210281577fbfe8a5ec9809 = $(`&lt;div id=&quot;html_f271d2431f210281577fbfe8a5ec9809&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Crafter CMS&lt;/b&gt; &lt;br&gt;https://docs.craftercms.org/en/4.0/security/advisory.html&lt;/div&gt;`)[0];\n",
-       "                popup_4255a43eab4345c59843a7c4fe45568b.setContent(html_f271d2431f210281577fbfe8a5ec9809);\n",
+       "                var html_d5b6959d17eb8ea31a91d613dca83223 = $(`&lt;div id=&quot;html_d5b6959d17eb8ea31a91d613dca83223&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Crafter CMS&lt;/b&gt; &lt;br&gt;https://docs.craftercms.org/en/4.0/security/advisory.html&lt;/div&gt;`)[0];\n",
+       "                popup_1097a871c6a7b60c94289db9dfd1ca69.setContent(html_d5b6959d17eb8ea31a91d613dca83223);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_450ee3c9a2ce68979c46b25be1eb5093.bindPopup(popup_4255a43eab4345c59843a7c4fe45568b)\n",
+       "        marker_dfadf3dbeb6bfed8b9b3a5e4115c28b0.bindPopup(popup_1097a871c6a7b60c94289db9dfd1ca69)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6a85490717d9b5554f72a6015ec96670 = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_eaead962cef99d589541a834f96fef09 = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e38aed4b8fc74c687e4332e69016524c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4a6d2e3f26307b912739a192652adb29 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6a85490717d9b5554f72a6015ec96670.setIcon(icon_e38aed4b8fc74c687e4332e69016524c);\n",
+       "            marker_eaead962cef99d589541a834f96fef09.setIcon(icon_4a6d2e3f26307b912739a192652adb29);\n",
        "        \n",
        "    \n",
-       "        var popup_732bfdd51bcf6302e5eb6f016d04033f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2ecb54882093f483219daa725dfc2dae = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c7a53106b603030811abd21978a5fef8 = $(`&lt;div id=&quot;html_c7a53106b603030811abd21978a5fef8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cybellum Technologies LTD&lt;/b&gt; &lt;br&gt;https://cybellum.com/vulnerabilities/&lt;/div&gt;`)[0];\n",
-       "                popup_732bfdd51bcf6302e5eb6f016d04033f.setContent(html_c7a53106b603030811abd21978a5fef8);\n",
+       "                var html_2d2b97deb08512d1b4823efb3a6ed04d = $(`&lt;div id=&quot;html_2d2b97deb08512d1b4823efb3a6ed04d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cybellum Technologies LTD&lt;/b&gt; &lt;br&gt;https://cybellum.com/vulnerabilities/&lt;/div&gt;`)[0];\n",
+       "                popup_2ecb54882093f483219daa725dfc2dae.setContent(html_2d2b97deb08512d1b4823efb3a6ed04d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6a85490717d9b5554f72a6015ec96670.bindPopup(popup_732bfdd51bcf6302e5eb6f016d04033f)\n",
+       "        marker_eaead962cef99d589541a834f96fef09.bindPopup(popup_2ecb54882093f483219daa725dfc2dae)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_5dcd0657f8c69d6f89089163c6936a11 = L.marker(\n",
+       "            var marker_b0a5df9e3045f8dcc3de5bacfe767649 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6882dd62397448955ceb34c7f9f2c1de = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_06dc8a8d7941b4e9d9b2efd5d79061ab = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_5dcd0657f8c69d6f89089163c6936a11.setIcon(icon_6882dd62397448955ceb34c7f9f2c1de);\n",
+       "            marker_b0a5df9e3045f8dcc3de5bacfe767649.setIcon(icon_06dc8a8d7941b4e9d9b2efd5d79061ab);\n",
        "        \n",
        "    \n",
-       "        var popup_18664ea113e32e05b468bd6de09f066e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bbf9098f5e1f42229366fae778f6d0e1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_1d69ff9b5deaf2ce2db5e6e1755bc838 = $(`&lt;div id=&quot;html_1d69ff9b5deaf2ce2db5e6e1755bc838&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cybersecurity and Infrastructure Security Agency (CISA) Industrial Control Systems (ICS)&lt;/b&gt; &lt;br&gt;https://cisa.gov/icsa&lt;/div&gt;`)[0];\n",
-       "                popup_18664ea113e32e05b468bd6de09f066e.setContent(html_1d69ff9b5deaf2ce2db5e6e1755bc838);\n",
+       "                var html_195b278c592b116c30335a950d0a612d = $(`&lt;div id=&quot;html_195b278c592b116c30335a950d0a612d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cybersecurity and Infrastructure Security Agency (CISA) Industrial Control Systems (ICS)&lt;/b&gt; &lt;br&gt;https://cisa.gov/icsa&lt;/div&gt;`)[0];\n",
+       "                popup_bbf9098f5e1f42229366fae778f6d0e1.setContent(html_195b278c592b116c30335a950d0a612d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_5dcd0657f8c69d6f89089163c6936a11.bindPopup(popup_18664ea113e32e05b468bd6de09f066e)\n",
+       "        marker_b0a5df9e3045f8dcc3de5bacfe767649.bindPopup(popup_bbf9098f5e1f42229366fae778f6d0e1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0cc674b4048e9d115229ff529e106f4f = L.marker(\n",
+       "            var marker_5c42f59155f8df8164b3266131472e09 = L.marker(\n",
        "                [22.3511148, 78.6677428],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_aebd184d5d3b61950c5b6b3a25f536f7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_daf420bac102df8806d4a135193f37cd = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0cc674b4048e9d115229ff529e106f4f.setIcon(icon_aebd184d5d3b61950c5b6b3a25f536f7);\n",
+       "            marker_5c42f59155f8df8164b3266131472e09.setIcon(icon_daf420bac102df8806d4a135193f37cd);\n",
        "        \n",
        "    \n",
-       "        var popup_d957029352454430bd391187ba6f35fe = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e373b1be5c4bf2a9f656518302c2a6e1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6f1c148052978770406684700e473fbc = $(`&lt;div id=&quot;html_6f1c148052978770406684700e473fbc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cyber Security Works Pvt. Ltd.&lt;/b&gt; &lt;br&gt;https://cybersecurityworks.com/zerodays-vulnerability-list/&lt;/div&gt;`)[0];\n",
-       "                popup_d957029352454430bd391187ba6f35fe.setContent(html_6f1c148052978770406684700e473fbc);\n",
+       "                var html_8f83c27672210a18ae3ba2e9bb48d4e5 = $(`&lt;div id=&quot;html_8f83c27672210a18ae3ba2e9bb48d4e5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cyber Security Works Pvt. Ltd.&lt;/b&gt; &lt;br&gt;https://cybersecurityworks.com/zerodays-vulnerability-list/&lt;/div&gt;`)[0];\n",
+       "                popup_e373b1be5c4bf2a9f656518302c2a6e1.setContent(html_8f83c27672210a18ae3ba2e9bb48d4e5);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0cc674b4048e9d115229ff529e106f4f.bindPopup(popup_d957029352454430bd391187ba6f35fe)\n",
+       "        marker_5c42f59155f8df8164b3266131472e09.bindPopup(popup_e373b1be5c4bf2a9f656518302c2a6e1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c7c9264d25e6d9158db44d16bcabf58f = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_e60ca56b8d16188822d6b2c2ae448046 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_80316a0d7d24bab63639c6862cb7a9ed = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8fc2ffded479af6788c739204e8baa64 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c7c9264d25e6d9158db44d16bcabf58f.setIcon(icon_80316a0d7d24bab63639c6862cb7a9ed);\n",
+       "            marker_e60ca56b8d16188822d6b2c2ae448046.setIcon(icon_8fc2ffded479af6788c739204e8baa64);\n",
        "        \n",
        "    \n",
-       "        var popup_1675651c982ad3f98341b7be57dad4c3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1c06dbd1a9fb98c69ec0c97b640eb6e9 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8ca862c3117bb37963dc1adfa8b975d8 = $(`&lt;div id=&quot;html_8ca862c3117bb37963dc1adfa8b975d8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dahua Technologies&lt;/b&gt; &lt;br&gt;https://www.dahuasecurity.com/support/cybersecurity/annoucementNotice&lt;/div&gt;`)[0];\n",
-       "                popup_1675651c982ad3f98341b7be57dad4c3.setContent(html_8ca862c3117bb37963dc1adfa8b975d8);\n",
+       "                var html_2bca580f52924926793f566b4a54ecb2 = $(`&lt;div id=&quot;html_2bca580f52924926793f566b4a54ecb2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dahua Technologies&lt;/b&gt; &lt;br&gt;https://www.dahuasecurity.com/support/cybersecurity/annoucementNotice&lt;/div&gt;`)[0];\n",
+       "                popup_1c06dbd1a9fb98c69ec0c97b640eb6e9.setContent(html_2bca580f52924926793f566b4a54ecb2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c7c9264d25e6d9158db44d16bcabf58f.bindPopup(popup_1675651c982ad3f98341b7be57dad4c3)\n",
+       "        marker_e60ca56b8d16188822d6b2c2ae448046.bindPopup(popup_1c06dbd1a9fb98c69ec0c97b640eb6e9)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0d9037a835f23d648b8dba6a9f9625d1 = L.marker(\n",
+       "            var marker_aec37e02b00f204b1c72ad1c710efa86 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_30ca4543b94c6ff9899354b0ab7de691 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_39beab1b203d495359d5a1fe24ec3ff3 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0d9037a835f23d648b8dba6a9f9625d1.setIcon(icon_30ca4543b94c6ff9899354b0ab7de691);\n",
+       "            marker_aec37e02b00f204b1c72ad1c710efa86.setIcon(icon_39beab1b203d495359d5a1fe24ec3ff3);\n",
        "        \n",
        "    \n",
-       "        var popup_429710487e3316f5e02ba2fdad58b233 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_4992e71c623c14e925bb7f5f5f6b0338 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4a9c0a8495d7692b50192061e2adf81c = $(`&lt;div id=&quot;html_4a9c0a8495d7692b50192061e2adf81c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Debian GNU/Linux&lt;/b&gt; &lt;br&gt;https://www.debian.org/security/#DSAS&lt;/div&gt;`)[0];\n",
-       "                popup_429710487e3316f5e02ba2fdad58b233.setContent(html_4a9c0a8495d7692b50192061e2adf81c);\n",
+       "                var html_786ed766c769b01ac934183a84c97359 = $(`&lt;div id=&quot;html_786ed766c769b01ac934183a84c97359&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Debian GNU/Linux&lt;/b&gt; &lt;br&gt;https://www.debian.org/security/#DSAS&lt;/div&gt;`)[0];\n",
+       "                popup_4992e71c623c14e925bb7f5f5f6b0338.setContent(html_786ed766c769b01ac934183a84c97359);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0d9037a835f23d648b8dba6a9f9625d1.bindPopup(popup_429710487e3316f5e02ba2fdad58b233)\n",
+       "        marker_aec37e02b00f204b1c72ad1c710efa86.bindPopup(popup_4992e71c623c14e925bb7f5f5f6b0338)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f730747642cece1609f61e6256577104 = L.marker(\n",
+       "            var marker_501d788424ded2f5a2ce68f52fe7ff2e = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_379714630b1f398a89b1057da07ec64e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_fb4e0f837d29dc49aa5942ba46dfd68f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f730747642cece1609f61e6256577104.setIcon(icon_379714630b1f398a89b1057da07ec64e);\n",
+       "            marker_501d788424ded2f5a2ce68f52fe7ff2e.setIcon(icon_fb4e0f837d29dc49aa5942ba46dfd68f);\n",
        "        \n",
        "    \n",
-       "        var popup_f48c638506521fd438946c942a0ef3ad = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6998ce2180e5de723d2b562301c53efc = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_da7d4ff9708bee9c1e02fa45eb01c4a6 = $(`&lt;div id=&quot;html_da7d4ff9708bee9c1e02fa45eb01c4a6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;DeepSurface Security, Inc.&lt;/b&gt; &lt;br&gt;https://deepsurface.com/tag/blog/&lt;/div&gt;`)[0];\n",
-       "                popup_f48c638506521fd438946c942a0ef3ad.setContent(html_da7d4ff9708bee9c1e02fa45eb01c4a6);\n",
+       "                var html_cf69bc05ee955b9cbd97ee554a8e20ae = $(`&lt;div id=&quot;html_cf69bc05ee955b9cbd97ee554a8e20ae&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;DeepSurface Security, Inc.&lt;/b&gt; &lt;br&gt;https://deepsurface.com/tag/blog/&lt;/div&gt;`)[0];\n",
+       "                popup_6998ce2180e5de723d2b562301c53efc.setContent(html_cf69bc05ee955b9cbd97ee554a8e20ae);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f730747642cece1609f61e6256577104.bindPopup(popup_f48c638506521fd438946c942a0ef3ad)\n",
+       "        marker_501d788424ded2f5a2ce68f52fe7ff2e.bindPopup(popup_6998ce2180e5de723d2b562301c53efc)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b00e69a6fb2a171fa5adc0fa3626ade7 = L.marker(\n",
+       "            var marker_f5393ff05961ea92c1ff2194766b25d8 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4fd3e331e796b62c872331e31a63904a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_51af9f8a4c944d9b78d80ae7bc751014 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b00e69a6fb2a171fa5adc0fa3626ade7.setIcon(icon_4fd3e331e796b62c872331e31a63904a);\n",
+       "            marker_f5393ff05961ea92c1ff2194766b25d8.setIcon(icon_51af9f8a4c944d9b78d80ae7bc751014);\n",
        "        \n",
        "    \n",
-       "        var popup_76222ca77fdf1d33251c56ce923fb563 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8e26a2a6dc384ccee74bbed7bf672b58 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_54a4dc05b5796d161dd565a4e8a6a9f7 = $(`&lt;div id=&quot;html_54a4dc05b5796d161dd565a4e8a6a9f7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dell&lt;/b&gt; &lt;br&gt;https://www.dell.com/support/security/en-us&lt;/div&gt;`)[0];\n",
-       "                popup_76222ca77fdf1d33251c56ce923fb563.setContent(html_54a4dc05b5796d161dd565a4e8a6a9f7);\n",
+       "                var html_63ce2dcb86ca786dd837b63b3f1d9a57 = $(`&lt;div id=&quot;html_63ce2dcb86ca786dd837b63b3f1d9a57&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dell&lt;/b&gt; &lt;br&gt;https://www.dell.com/support/security/en-us&lt;/div&gt;`)[0];\n",
+       "                popup_8e26a2a6dc384ccee74bbed7bf672b58.setContent(html_63ce2dcb86ca786dd837b63b3f1d9a57);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b00e69a6fb2a171fa5adc0fa3626ade7.bindPopup(popup_76222ca77fdf1d33251c56ce923fb563)\n",
+       "        marker_f5393ff05961ea92c1ff2194766b25d8.bindPopup(popup_8e26a2a6dc384ccee74bbed7bf672b58)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_59defa2e2250506600dbc8073998cfd0 = L.marker(\n",
+       "            var marker_864730e7e58d994f701876c6ea9af4dc = L.marker(\n",
        "                [61.0666922, -107.991707],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_dd89ca55c30b6e17cec1062fc58a6833 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b9e6870d3c61d05c1660dddbbea9cd76 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_59defa2e2250506600dbc8073998cfd0.setIcon(icon_dd89ca55c30b6e17cec1062fc58a6833);\n",
+       "            marker_864730e7e58d994f701876c6ea9af4dc.setIcon(icon_b9e6870d3c61d05c1660dddbbea9cd76);\n",
        "        \n",
        "    \n",
-       "        var popup_3f833e4bfa5eca25db9411d0bbc3a119 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_652e7425c5709f4bdfbd9d0893e91053 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b7291cac6b3e890a621a592f9ff0bec1 = $(`&lt;div id=&quot;html_b7291cac6b3e890a621a592f9ff0bec1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Devolutions Inc.&lt;/b&gt; &lt;br&gt;https://devolutions.net/security/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_3f833e4bfa5eca25db9411d0bbc3a119.setContent(html_b7291cac6b3e890a621a592f9ff0bec1);\n",
+       "                var html_cada760100323ef3898cee315346f8c0 = $(`&lt;div id=&quot;html_cada760100323ef3898cee315346f8c0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Devolutions Inc.&lt;/b&gt; &lt;br&gt;https://devolutions.net/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_652e7425c5709f4bdfbd9d0893e91053.setContent(html_cada760100323ef3898cee315346f8c0);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_59defa2e2250506600dbc8073998cfd0.bindPopup(popup_3f833e4bfa5eca25db9411d0bbc3a119)\n",
+       "        marker_864730e7e58d994f701876c6ea9af4dc.bindPopup(popup_652e7425c5709f4bdfbd9d0893e91053)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f8951b36ae6204189fd9363a48b2486e = L.marker(\n",
+       "            var marker_d46b2dd31ce26bb7af4e7d6e7a6018af = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a8c67b880d8b7429a5c48585735e115e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_13e9ed7f2c2942213118ddf9a0cc7d84 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f8951b36ae6204189fd9363a48b2486e.setIcon(icon_a8c67b880d8b7429a5c48585735e115e);\n",
+       "            marker_d46b2dd31ce26bb7af4e7d6e7a6018af.setIcon(icon_13e9ed7f2c2942213118ddf9a0cc7d84);\n",
        "        \n",
        "    \n",
-       "        var popup_de0c6299b4e74ec75cd577c7585ce081 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_03794a53bac1de46474172339c5106d9 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b3c61c3c88e7f483328be963bc1d4927 = $(`&lt;div id=&quot;html_b3c61c3c88e7f483328be963bc1d4927&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Document Foundation, The&lt;/b&gt; &lt;br&gt;https://www.libreoffice.org/about-us/security/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_de0c6299b4e74ec75cd577c7585ce081.setContent(html_b3c61c3c88e7f483328be963bc1d4927);\n",
+       "                var html_d47a27b666a40be3989a02de853accae = $(`&lt;div id=&quot;html_d47a27b666a40be3989a02de853accae&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Document Foundation, The&lt;/b&gt; &lt;br&gt;https://www.libreoffice.org/about-us/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_03794a53bac1de46474172339c5106d9.setContent(html_d47a27b666a40be3989a02de853accae);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f8951b36ae6204189fd9363a48b2486e.bindPopup(popup_de0c6299b4e74ec75cd577c7585ce081)\n",
+       "        marker_d46b2dd31ce26bb7af4e7d6e7a6018af.bindPopup(popup_03794a53bac1de46474172339c5106d9)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_402d0eda056e15989d13250e2f86c0d9 = L.marker(\n",
+       "            var marker_94f9680cba58082bfcdd8d9db19b19cb = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_dd127f4f04a71656d6f214d6c2cf4d57 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a33e3c3c030b2ee2f76eeb614c48bac9 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_402d0eda056e15989d13250e2f86c0d9.setIcon(icon_dd127f4f04a71656d6f214d6c2cf4d57);\n",
+       "            marker_94f9680cba58082bfcdd8d9db19b19cb.setIcon(icon_a33e3c3c030b2ee2f76eeb614c48bac9);\n",
        "        \n",
        "    \n",
-       "        var popup_6481628dc33bf4780fb22c92045f58ea = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_da353adb5879d94d7f04a8179ac8168c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_88e9582a82425b3d6faccc9914cbaf02 = $(`&lt;div id=&quot;html_88e9582a82425b3d6faccc9914cbaf02&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Drupal.org&lt;/b&gt; &lt;br&gt;https://www.drupal.org/security&lt;/div&gt;`)[0];\n",
-       "                popup_6481628dc33bf4780fb22c92045f58ea.setContent(html_88e9582a82425b3d6faccc9914cbaf02);\n",
+       "                var html_7b42194a62ef72119d81916a887b6b40 = $(`&lt;div id=&quot;html_7b42194a62ef72119d81916a887b6b40&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Drupal.org&lt;/b&gt; &lt;br&gt;https://www.drupal.org/security&lt;/div&gt;`)[0];\n",
+       "                popup_da353adb5879d94d7f04a8179ac8168c.setContent(html_7b42194a62ef72119d81916a887b6b40);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_402d0eda056e15989d13250e2f86c0d9.bindPopup(popup_6481628dc33bf4780fb22c92045f58ea)\n",
+       "        marker_94f9680cba58082bfcdd8d9db19b19cb.bindPopup(popup_da353adb5879d94d7f04a8179ac8168c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_34c9e4d0e614c8d062bcc3e5a853881d = L.marker(\n",
+       "            var marker_95662b8e89b161562333b8d1298dbc05 = L.marker(\n",
        "                [52.865196, -7.9794599],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_69884572609c1a76bf7fe0258ae20f68 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5b69de9f69d7146c238f6f75740888c8 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_34c9e4d0e614c8d062bcc3e5a853881d.setIcon(icon_69884572609c1a76bf7fe0258ae20f68);\n",
+       "            marker_95662b8e89b161562333b8d1298dbc05.setIcon(icon_5b69de9f69d7146c238f6f75740888c8);\n",
        "        \n",
        "    \n",
-       "        var popup_7cdc3344165226ae189747033d634c36 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8a419a79670bf028ea42af021b052010 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_635cd202cb53a3310c10f01dff3cfb9f = $(`&lt;div id=&quot;html_635cd202cb53a3310c10f01dff3cfb9f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Eaton&lt;/b&gt; &lt;br&gt;https://www.eaton.com/us/en-us/company/news-insights/cybersecurity/security-notifications.html&lt;/div&gt;`)[0];\n",
-       "                popup_7cdc3344165226ae189747033d634c36.setContent(html_635cd202cb53a3310c10f01dff3cfb9f);\n",
+       "                var html_8ba279a8b265b7429cc4ecf2659f7ac1 = $(`&lt;div id=&quot;html_8ba279a8b265b7429cc4ecf2659f7ac1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Eaton&lt;/b&gt; &lt;br&gt;https://www.eaton.com/us/en-us/company/news-insights/cybersecurity/security-notifications.html&lt;/div&gt;`)[0];\n",
+       "                popup_8a419a79670bf028ea42af021b052010.setContent(html_8ba279a8b265b7429cc4ecf2659f7ac1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_34c9e4d0e614c8d062bcc3e5a853881d.bindPopup(popup_7cdc3344165226ae189747033d634c36)\n",
+       "        marker_95662b8e89b161562333b8d1298dbc05.bindPopup(popup_8a419a79670bf028ea42af021b052010)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_520ccac0802d07c8c17bb768305811f1 = L.marker(\n",
+       "            var marker_a21fbe7a09745eddb0a16e59ba6da9ef = L.marker(\n",
        "                [50.6402809, 4.6667145],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5657af3684b39b968af4eda5c6321a32 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6def29c317559486400c18536a8bd1b6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_520ccac0802d07c8c17bb768305811f1.setIcon(icon_5657af3684b39b968af4eda5c6321a32);\n",
+       "            marker_a21fbe7a09745eddb0a16e59ba6da9ef.setIcon(icon_6def29c317559486400c18536a8bd1b6);\n",
        "        \n",
        "    \n",
-       "        var popup_967c9b0c4c439ab23dc1480648eb1475 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bb48dd26b5758555475c712d035eab29 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f204a3cdee0ba23bc59d699f74096d3b = $(`&lt;div id=&quot;html_f204a3cdee0ba23bc59d699f74096d3b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Eclipse Foundation&lt;/b&gt; &lt;br&gt;https://www.eclipse.org/security/known.php&lt;/div&gt;`)[0];\n",
-       "                popup_967c9b0c4c439ab23dc1480648eb1475.setContent(html_f204a3cdee0ba23bc59d699f74096d3b);\n",
+       "                var html_e880e800ae3694d5418cb467c8fe043b = $(`&lt;div id=&quot;html_e880e800ae3694d5418cb467c8fe043b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Eclipse Foundation&lt;/b&gt; &lt;br&gt;https://www.eclipse.org/security/known.php&lt;/div&gt;`)[0];\n",
+       "                popup_bb48dd26b5758555475c712d035eab29.setContent(html_e880e800ae3694d5418cb467c8fe043b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_520ccac0802d07c8c17bb768305811f1.bindPopup(popup_967c9b0c4c439ab23dc1480648eb1475)\n",
+       "        marker_a21fbe7a09745eddb0a16e59ba6da9ef.bindPopup(popup_bb48dd26b5758555475c712d035eab29)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f4b41e0785314f0571af48940ff77539 = L.marker(\n",
+       "            var marker_1dbef157e8f6a6ebee2948803616c502 = L.marker(\n",
        "                [52.2434979, 5.6343227],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cd8c2b5827250de337f37886a1c2652f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_95aed66cb86cb09f6ef93ae59fee3f66 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f4b41e0785314f0571af48940ff77539.setIcon(icon_cd8c2b5827250de337f37886a1c2652f);\n",
+       "            marker_1dbef157e8f6a6ebee2948803616c502.setIcon(icon_95aed66cb86cb09f6ef93ae59fee3f66);\n",
        "        \n",
        "    \n",
-       "        var popup_09a4a022adf4c32be6e01b436b5bfb04 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c36b127aaddcbb7349fb167380d25691 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_bcc347d6da47366529ab5aa426197f3c = $(`&lt;div id=&quot;html_bcc347d6da47366529ab5aa426197f3c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Elastic&lt;/b&gt; &lt;br&gt;https://www.elastic.co/community/security&lt;/div&gt;`)[0];\n",
-       "                popup_09a4a022adf4c32be6e01b436b5bfb04.setContent(html_bcc347d6da47366529ab5aa426197f3c);\n",
+       "                var html_90c7f8d6c25a0675d34310b3db845808 = $(`&lt;div id=&quot;html_90c7f8d6c25a0675d34310b3db845808&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Elastic&lt;/b&gt; &lt;br&gt;https://www.elastic.co/community/security&lt;/div&gt;`)[0];\n",
+       "                popup_c36b127aaddcbb7349fb167380d25691.setContent(html_90c7f8d6c25a0675d34310b3db845808);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f4b41e0785314f0571af48940ff77539.bindPopup(popup_09a4a022adf4c32be6e01b436b5bfb04)\n",
+       "        marker_1dbef157e8f6a6ebee2948803616c502.bindPopup(popup_c36b127aaddcbb7349fb167380d25691)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9e6b34b971acb54282e67b8d9a62763c = L.marker(\n",
+       "            var marker_5f94a07ed802d41b5bb6bdfc2108d562 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4a0df64401b01582f71f29ab338e563c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3f0dc03310f18eb86fd34f0ce82e0ad1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9e6b34b971acb54282e67b8d9a62763c.setIcon(icon_4a0df64401b01582f71f29ab338e563c);\n",
+       "            marker_5f94a07ed802d41b5bb6bdfc2108d562.setIcon(icon_3f0dc03310f18eb86fd34f0ce82e0ad1);\n",
        "        \n",
        "    \n",
-       "        var popup_3a7a0acc9d3f1c5272135c29f315e232 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_fb4200362e55f232024c611143e4d445 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7e9a7915679cc3a3f6185a5945edcc72 = $(`&lt;div id=&quot;html_7e9a7915679cc3a3f6185a5945edcc72&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Electronic Arts, Inc.&lt;/b&gt; &lt;br&gt;https://www.ea.com/security/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_3a7a0acc9d3f1c5272135c29f315e232.setContent(html_7e9a7915679cc3a3f6185a5945edcc72);\n",
+       "                var html_fd301ec7a30043962891938e2cb2c2c2 = $(`&lt;div id=&quot;html_fd301ec7a30043962891938e2cb2c2c2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Electronic Arts, Inc.&lt;/b&gt; &lt;br&gt;https://www.ea.com/security/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_fb4200362e55f232024c611143e4d445.setContent(html_fd301ec7a30043962891938e2cb2c2c2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9e6b34b971acb54282e67b8d9a62763c.bindPopup(popup_3a7a0acc9d3f1c5272135c29f315e232)\n",
+       "        marker_5f94a07ed802d41b5bb6bdfc2108d562.bindPopup(popup_fb4200362e55f232024c611143e4d445)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d66948693846d839a491ead96a020ec6 = L.marker(\n",
+       "            var marker_90293a2ee2875ab9c500fabb967ee5b3 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7767b8fe6f72ee7df309f16e33414ea1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cb51d5354bc2fbb7b79912e1fca8e547 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d66948693846d839a491ead96a020ec6.setIcon(icon_7767b8fe6f72ee7df309f16e33414ea1);\n",
+       "            marker_90293a2ee2875ab9c500fabb967ee5b3.setIcon(icon_cb51d5354bc2fbb7b79912e1fca8e547);\n",
        "        \n",
        "    \n",
-       "        var popup_0d2ea96ff645503ffa5601a9ddd363be = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a86954be006a896e3bc138dff2f83680 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6717316229ede124128cd18b73ee8f9d = $(`&lt;div id=&quot;html_6717316229ede124128cd18b73ee8f9d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Environmental Systems Research Institute, Inc.&lt;/b&gt; &lt;br&gt;https://trust.arcgis.com/&lt;/div&gt;`)[0];\n",
-       "                popup_0d2ea96ff645503ffa5601a9ddd363be.setContent(html_6717316229ede124128cd18b73ee8f9d);\n",
+       "                var html_712bfc8eb228a2f0ce6b97545a8f114d = $(`&lt;div id=&quot;html_712bfc8eb228a2f0ce6b97545a8f114d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Environmental Systems Research Institute, Inc.&lt;/b&gt; &lt;br&gt;https://trust.arcgis.com/&lt;/div&gt;`)[0];\n",
+       "                popup_a86954be006a896e3bc138dff2f83680.setContent(html_712bfc8eb228a2f0ce6b97545a8f114d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d66948693846d839a491ead96a020ec6.bindPopup(popup_0d2ea96ff645503ffa5601a9ddd363be)\n",
+       "        marker_90293a2ee2875ab9c500fabb967ee5b3.bindPopup(popup_a86954be006a896e3bc138dff2f83680)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3c9395096c9b5e5c56a53bf4431394d4 = L.marker(\n",
+       "            var marker_89d48eb205b80f5f83b85ed4e544ccfc = L.marker(\n",
        "                [48.7411522, 19.4528646],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_88fda6cb647a087fc2c40f5c0f796ca3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_439d658b02a25c573bd121c48d9af0b2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3c9395096c9b5e5c56a53bf4431394d4.setIcon(icon_88fda6cb647a087fc2c40f5c0f796ca3);\n",
+       "            marker_89d48eb205b80f5f83b85ed4e544ccfc.setIcon(icon_439d658b02a25c573bd121c48d9af0b2);\n",
        "        \n",
        "    \n",
-       "        var popup_6e5ac08a4e3275f37dd820bcec455218 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_12720129906c64960486c1ebf361d54f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_17e6e18434651070bf87d79f8be87bd9 = $(`&lt;div id=&quot;html_17e6e18434651070bf87d79f8be87bd9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ESET, spol. s r.o.&lt;/b&gt; &lt;br&gt;https://support-feed.eset.com/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_6e5ac08a4e3275f37dd820bcec455218.setContent(html_17e6e18434651070bf87d79f8be87bd9);\n",
+       "                var html_1ba5c0145f3272f9ae11f47b20125894 = $(`&lt;div id=&quot;html_1ba5c0145f3272f9ae11f47b20125894&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ESET, spol. s r.o.&lt;/b&gt; &lt;br&gt;https://support-feed.eset.com/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_12720129906c64960486c1ebf361d54f.setContent(html_1ba5c0145f3272f9ae11f47b20125894);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3c9395096c9b5e5c56a53bf4431394d4.bindPopup(popup_6e5ac08a4e3275f37dd820bcec455218)\n",
+       "        marker_89d48eb205b80f5f83b85ed4e544ccfc.bindPopup(popup_12720129906c64960486c1ebf361d54f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8a054bf2b659db9a17783a708a16d4e3 = L.marker(\n",
+       "            var marker_95b7cc14aa5cbe3b1af100c04ff2abeb = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a12fb53716e7de1322ccd89ed89089a8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_22e898bcc12ba1061126d9f4b4e2b17f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8a054bf2b659db9a17783a708a16d4e3.setIcon(icon_a12fb53716e7de1322ccd89ed89089a8);\n",
+       "            marker_95b7cc14aa5cbe3b1af100c04ff2abeb.setIcon(icon_22e898bcc12ba1061126d9f4b4e2b17f);\n",
        "        \n",
        "    \n",
-       "        var popup_08bc53d0715ba6f268eb585c23a8082e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d577a9b5f31e3b59af7edd0df6577977 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_13c4501b4dee94e7e991a8fdc4419e2b = $(`&lt;div id=&quot;html_13c4501b4dee94e7e991a8fdc4419e2b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;F5, Inc.&lt;/b&gt; &lt;br&gt;https://my.f5.com/manage/s/new-updated-articles#sort=%40f5_updated_published_date%20descending&amp;amp&lt;/div&gt;`)[0];\n",
-       "                popup_08bc53d0715ba6f268eb585c23a8082e.setContent(html_13c4501b4dee94e7e991a8fdc4419e2b);\n",
+       "                var html_5469948e2ed6364b4c8520b027026a5a = $(`&lt;div id=&quot;html_5469948e2ed6364b4c8520b027026a5a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;F5, Inc.&lt;/b&gt; &lt;br&gt;https://my.f5.com/manage/s/new-updated-articles#sort=%40f5_updated_published_date%20descending&amp;amp&lt;/div&gt;`)[0];\n",
+       "                popup_d577a9b5f31e3b59af7edd0df6577977.setContent(html_5469948e2ed6364b4c8520b027026a5a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8a054bf2b659db9a17783a708a16d4e3.bindPopup(popup_08bc53d0715ba6f268eb585c23a8082e)\n",
+       "        marker_95b7cc14aa5cbe3b1af100c04ff2abeb.bindPopup(popup_d577a9b5f31e3b59af7edd0df6577977)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ff4e6f031ac14cb77c2163ec1a381fc5 = L.marker(\n",
+       "            var marker_a11f4ecb2594af2305fddceaa1bed0e2 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7ac01ef28084b7400aac950e77fc974d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_019ccf12a2a0845531525a77bc956f1c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ff4e6f031ac14cb77c2163ec1a381fc5.setIcon(icon_7ac01ef28084b7400aac950e77fc974d);\n",
+       "            marker_a11f4ecb2594af2305fddceaa1bed0e2.setIcon(icon_019ccf12a2a0845531525a77bc956f1c);\n",
        "        \n",
        "    \n",
-       "        var popup_69b15639dd334ef025a7210387eac505 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2be71e48e4d41a687b7c827df19eca6e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ee0d05e8a2b45fd7dabb392a464f5c86 = $(`&lt;div id=&quot;html_ee0d05e8a2b45fd7dabb392a464f5c86&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Meta Platforms, Inc.&lt;/b&gt; &lt;br&gt;https://www.facebook.com/security&lt;/div&gt;`)[0];\n",
-       "                popup_69b15639dd334ef025a7210387eac505.setContent(html_ee0d05e8a2b45fd7dabb392a464f5c86);\n",
+       "                var html_4e410166c980a1187d2fe1014431072b = $(`&lt;div id=&quot;html_4e410166c980a1187d2fe1014431072b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Meta Platforms, Inc.&lt;/b&gt; &lt;br&gt;https://www.facebook.com/security&lt;/div&gt;`)[0];\n",
+       "                popup_2be71e48e4d41a687b7c827df19eca6e.setContent(html_4e410166c980a1187d2fe1014431072b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ff4e6f031ac14cb77c2163ec1a381fc5.bindPopup(popup_69b15639dd334ef025a7210387eac505)\n",
+       "        marker_a11f4ecb2594af2305fddceaa1bed0e2.bindPopup(popup_2be71e48e4d41a687b7c827df19eca6e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_686bde33f787d0d3797f7ebe8f4e329b = L.marker(\n",
+       "            var marker_7515294ae79542cfd80b831ecbeb33bd = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4e36c931d8e04da316704199d786bfa7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_84d02423d2f2eaaa82b6c64d6288f0ef = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_686bde33f787d0d3797f7ebe8f4e329b.setIcon(icon_4e36c931d8e04da316704199d786bfa7);\n",
+       "            marker_7515294ae79542cfd80b831ecbeb33bd.setIcon(icon_84d02423d2f2eaaa82b6c64d6288f0ef);\n",
        "        \n",
        "    \n",
-       "        var popup_9a15476dd4cafb322426a6f3f44cdba5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7f317e9b9f1cd813a6cc44c11096ece6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b191708d32b272ba39886143c38417fc = $(`&lt;div id=&quot;html_b191708d32b272ba39886143c38417fc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fedora Project&lt;/b&gt; &lt;br&gt;https://bodhi.fedoraproject.org/updates/?type=security&lt;/div&gt;`)[0];\n",
-       "                popup_9a15476dd4cafb322426a6f3f44cdba5.setContent(html_b191708d32b272ba39886143c38417fc);\n",
+       "                var html_13f9c750140e75fa716b1eae6fa7a73a = $(`&lt;div id=&quot;html_13f9c750140e75fa716b1eae6fa7a73a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fedora Project&lt;/b&gt; &lt;br&gt;https://bodhi.fedoraproject.org/updates/?type=security&lt;/div&gt;`)[0];\n",
+       "                popup_7f317e9b9f1cd813a6cc44c11096ece6.setContent(html_13f9c750140e75fa716b1eae6fa7a73a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_686bde33f787d0d3797f7ebe8f4e329b.bindPopup(popup_9a15476dd4cafb322426a6f3f44cdba5)\n",
+       "        marker_7515294ae79542cfd80b831ecbeb33bd.bindPopup(popup_7f317e9b9f1cd813a6cc44c11096ece6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4ae73bf1a7c6490b4a9512bd69f1960d = L.marker(\n",
+       "            var marker_646facf874763ae4a3c7ce343444d6f1 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bbda561051d618715730a67349f6b45b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9eaff90695f0f85e4054eb6f746092aa = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4ae73bf1a7c6490b4a9512bd69f1960d.setIcon(icon_bbda561051d618715730a67349f6b45b);\n",
+       "            marker_646facf874763ae4a3c7ce343444d6f1.setIcon(icon_9eaff90695f0f85e4054eb6f746092aa);\n",
        "        \n",
        "    \n",
-       "        var popup_9af2e311c9019fe3e0dc2e5bc59c79a2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3fef2a8adf7ccba0375a010fcda05e01 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_69345a6f065d7f0b3f522da34a18a8eb = $(`&lt;div id=&quot;html_69345a6f065d7f0b3f522da34a18a8eb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fidelis Cybersecurity, Inc.&lt;/b&gt; &lt;br&gt;https://support.fidelissecurity.com/hc/en-us/categories/360001842694-Advisories-News-and-Policies&lt;/div&gt;`)[0];\n",
-       "                popup_9af2e311c9019fe3e0dc2e5bc59c79a2.setContent(html_69345a6f065d7f0b3f522da34a18a8eb);\n",
+       "                var html_e4a2948ac2a2ad26e1aee6e0430c3aaf = $(`&lt;div id=&quot;html_e4a2948ac2a2ad26e1aee6e0430c3aaf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fidelis Cybersecurity, Inc.&lt;/b&gt; &lt;br&gt;https://support.fidelissecurity.com/hc/en-us/categories/360001842694-Advisories-News-and-Policies&lt;/div&gt;`)[0];\n",
+       "                popup_3fef2a8adf7ccba0375a010fcda05e01.setContent(html_e4a2948ac2a2ad26e1aee6e0430c3aaf);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4ae73bf1a7c6490b4a9512bd69f1960d.bindPopup(popup_9af2e311c9019fe3e0dc2e5bc59c79a2)\n",
+       "        marker_646facf874763ae4a3c7ce343444d6f1.bindPopup(popup_3fef2a8adf7ccba0375a010fcda05e01)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d82339ec9129afdecae8d3258af0e6ea = L.marker(\n",
+       "            var marker_7ceea724bc0512ae4144faa6ed3caf90 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_597c5608ec134d5339b0882157eaf09b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_63cad01c7e2e9c57ab6fabbb01f359ca = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d82339ec9129afdecae8d3258af0e6ea.setIcon(icon_597c5608ec134d5339b0882157eaf09b);\n",
+       "            marker_7ceea724bc0512ae4144faa6ed3caf90.setIcon(icon_63cad01c7e2e9c57ab6fabbb01f359ca);\n",
        "        \n",
        "    \n",
-       "        var popup_a289d600fd5dd25dad712cf0f1ec090b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a336a75ee8a8cadcfc31dc5be8171cf6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a55f6049702a6d91a40b0cb25be116aa = $(`&lt;div id=&quot;html_a55f6049702a6d91a40b0cb25be116aa&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Flexera Software LLC&lt;/b&gt; &lt;br&gt;https://community.flexera.com/t5/FlexNet-Publisher-Knowledge-Base/tkb-p/FNP-Knowledge/label-name/vulnerability&lt;/div&gt;`)[0];\n",
-       "                popup_a289d600fd5dd25dad712cf0f1ec090b.setContent(html_a55f6049702a6d91a40b0cb25be116aa);\n",
+       "                var html_82f549567992b4397b1a6c8542d22480 = $(`&lt;div id=&quot;html_82f549567992b4397b1a6c8542d22480&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Flexera Software LLC&lt;/b&gt; &lt;br&gt;https://community.flexera.com/t5/FlexNet-Publisher-Knowledge-Base/tkb-p/FNP-Knowledge/label-name/vulnerability&lt;/div&gt;`)[0];\n",
+       "                popup_a336a75ee8a8cadcfc31dc5be8171cf6.setContent(html_82f549567992b4397b1a6c8542d22480);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d82339ec9129afdecae8d3258af0e6ea.bindPopup(popup_a289d600fd5dd25dad712cf0f1ec090b)\n",
+       "        marker_7ceea724bc0512ae4144faa6ed3caf90.bindPopup(popup_a336a75ee8a8cadcfc31dc5be8171cf6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_52d6c058b7e344b4204ae55cd40e07e0 = L.marker(\n",
+       "            var marker_8f250d0bed622c32b965ee9f301108d3 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c58e1105f4e81bad4d2ca0fb5cc5459b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_88bd04b22f1f5558c43a5e0327cdd98d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_52d6c058b7e344b4204ae55cd40e07e0.setIcon(icon_c58e1105f4e81bad4d2ca0fb5cc5459b);\n",
+       "            marker_8f250d0bed622c32b965ee9f301108d3.setIcon(icon_88bd04b22f1f5558c43a5e0327cdd98d);\n",
        "        \n",
        "    \n",
-       "        var popup_e3ac89633e0ed36238fdf1353654d3ea = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_80dfe646b81812c4607e9ccd43639e61 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_beb674e0211041666f5172a85a593590 = $(`&lt;div id=&quot;html_beb674e0211041666f5172a85a593590&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;floragunn GmbH&lt;/b&gt; &lt;br&gt;https://search-guard.com/cve-advisory&lt;/div&gt;`)[0];\n",
-       "                popup_e3ac89633e0ed36238fdf1353654d3ea.setContent(html_beb674e0211041666f5172a85a593590);\n",
+       "                var html_f46ff04ac0d1613593ee75b67be64efc = $(`&lt;div id=&quot;html_f46ff04ac0d1613593ee75b67be64efc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;floragunn GmbH&lt;/b&gt; &lt;br&gt;https://search-guard.com/cve-advisory&lt;/div&gt;`)[0];\n",
+       "                popup_80dfe646b81812c4607e9ccd43639e61.setContent(html_f46ff04ac0d1613593ee75b67be64efc);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_52d6c058b7e344b4204ae55cd40e07e0.bindPopup(popup_e3ac89633e0ed36238fdf1353654d3ea)\n",
+       "        marker_8f250d0bed622c32b965ee9f301108d3.bindPopup(popup_80dfe646b81812c4607e9ccd43639e61)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4cdde097ce7ea9e6eeea4ba664cd606b = L.marker(\n",
+       "            var marker_ac23df6ec710fcb5b93d5369e604d547 = L.marker(\n",
        "                [4.099917, -72.9088133],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7784409310642a782892df3771c0e1d8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7692045398b10a9bd845e649c150a48e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4cdde097ce7ea9e6eeea4ba664cd606b.setIcon(icon_7784409310642a782892df3771c0e1d8);\n",
+       "            marker_ac23df6ec710fcb5b93d5369e604d547.setIcon(icon_7692045398b10a9bd845e649c150a48e);\n",
        "        \n",
        "    \n",
-       "        var popup_77bf8f57162357ebfb6952df1d11e476 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c09915c026c0fc8c6a8cccae0105525b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_dd9f4b419cfefe3694afa83dcb34d7fe = $(`&lt;div id=&quot;html_dd9f4b419cfefe3694afa83dcb34d7fe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fluid Attacks&lt;/b&gt; &lt;br&gt;https://fluidattacks.com/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_77bf8f57162357ebfb6952df1d11e476.setContent(html_dd9f4b419cfefe3694afa83dcb34d7fe);\n",
+       "                var html_edd0f61a483af9b953005cba432452e1 = $(`&lt;div id=&quot;html_edd0f61a483af9b953005cba432452e1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fluid Attacks&lt;/b&gt; &lt;br&gt;https://fluidattacks.com/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_c09915c026c0fc8c6a8cccae0105525b.setContent(html_edd0f61a483af9b953005cba432452e1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4cdde097ce7ea9e6eeea4ba664cd606b.bindPopup(popup_77bf8f57162357ebfb6952df1d11e476)\n",
+       "        marker_ac23df6ec710fcb5b93d5369e604d547.bindPopup(popup_c09915c026c0fc8c6a8cccae0105525b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2332e7698a408ab3047f2a7102376355 = L.marker(\n",
+       "            var marker_bd5ef637add9375c73ede7a9b1ac3119 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e5600e0c2d83ecadb70443b4c28da4b6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_38d12e374ff17267029cd1135f1d6b32 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2332e7698a408ab3047f2a7102376355.setIcon(icon_e5600e0c2d83ecadb70443b4c28da4b6);\n",
+       "            marker_bd5ef637add9375c73ede7a9b1ac3119.setIcon(icon_38d12e374ff17267029cd1135f1d6b32);\n",
        "        \n",
        "    \n",
-       "        var popup_f0c069755d918f0b70753506ac00b94e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d9717bcf25762eb289746f3969348626 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8831aff7615c5f30601175a78fc89146 = $(`&lt;div id=&quot;html_8831aff7615c5f30601175a78fc89146&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Forcepoint&lt;/b&gt; &lt;br&gt;https://support.forcepoint.com/s/knowledge-base#t=All&amp;sort=relevancy&amp;f:@sfrecordtypename=&lt;/div&gt;`)[0];\n",
-       "                popup_f0c069755d918f0b70753506ac00b94e.setContent(html_8831aff7615c5f30601175a78fc89146);\n",
+       "                var html_1096ef4a2c3a0799925fb6c8e910ce91 = $(`&lt;div id=&quot;html_1096ef4a2c3a0799925fb6c8e910ce91&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Forcepoint&lt;/b&gt; &lt;br&gt;https://support.forcepoint.com/s/knowledge-base#t=All&amp;sort=relevancy&amp;f:@sfrecordtypename=&lt;/div&gt;`)[0];\n",
+       "                popup_d9717bcf25762eb289746f3969348626.setContent(html_1096ef4a2c3a0799925fb6c8e910ce91);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2332e7698a408ab3047f2a7102376355.bindPopup(popup_f0c069755d918f0b70753506ac00b94e)\n",
+       "        marker_bd5ef637add9375c73ede7a9b1ac3119.bindPopup(popup_d9717bcf25762eb289746f3969348626)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9d106ed47de0685f9a4b5e2f8433c163 = L.marker(\n",
+       "            var marker_365a96ce19705d7f0807a65b3aec719b = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0e422610396f1a61d12fbbb804c5e1e6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7440e7eabd2488542dfde703cf01a08b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9d106ed47de0685f9a4b5e2f8433c163.setIcon(icon_0e422610396f1a61d12fbbb804c5e1e6);\n",
+       "            marker_365a96ce19705d7f0807a65b3aec719b.setIcon(icon_7440e7eabd2488542dfde703cf01a08b);\n",
        "        \n",
        "    \n",
-       "        var popup_55aa9494aab806f2fea1d8e7cf6a9b16 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d306968f61e3cb0122ad9bdc3df891f8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b348ff7f3d45ca8fa5f64aff324a82fb = $(`&lt;div id=&quot;html_b348ff7f3d45ca8fa5f64aff324a82fb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fortinet, Inc.&lt;/b&gt; &lt;br&gt;https://www.fortiguard.com/psirt&lt;/div&gt;`)[0];\n",
-       "                popup_55aa9494aab806f2fea1d8e7cf6a9b16.setContent(html_b348ff7f3d45ca8fa5f64aff324a82fb);\n",
+       "                var html_9d5ff164475b14ee7c9b2c1fa5b03d6c = $(`&lt;div id=&quot;html_9d5ff164475b14ee7c9b2c1fa5b03d6c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fortinet, Inc.&lt;/b&gt; &lt;br&gt;https://www.fortiguard.com/psirt&lt;/div&gt;`)[0];\n",
+       "                popup_d306968f61e3cb0122ad9bdc3df891f8.setContent(html_9d5ff164475b14ee7c9b2c1fa5b03d6c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9d106ed47de0685f9a4b5e2f8433c163.bindPopup(popup_55aa9494aab806f2fea1d8e7cf6a9b16)\n",
+       "        marker_365a96ce19705d7f0807a65b3aec719b.bindPopup(popup_d306968f61e3cb0122ad9bdc3df891f8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c3d1917e5fe91dc144581a411088e52a = L.marker(\n",
+       "            var marker_88f79eb1b15f96f1016ffb02882fa24b = L.marker(\n",
        "                [15.9266657, 107.9650855],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_79438884ae05dfb596c287b65295d11c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_72fc55ba8a5764e932702af34454cf52 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c3d1917e5fe91dc144581a411088e52a.setIcon(icon_79438884ae05dfb596c287b65295d11c);\n",
+       "            marker_88f79eb1b15f96f1016ffb02882fa24b.setIcon(icon_72fc55ba8a5764e932702af34454cf52);\n",
        "        \n",
        "    \n",
-       "        var popup_d8cabb71656a0ea0ea5d4ea7234e4602 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_64a94f8aad3d6416b156712c9239782b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_428824c7e3feafe4f213ee78898108fd = $(`&lt;div id=&quot;html_428824c7e3feafe4f213ee78898108fd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;FPT Software Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.fpt-software.com/vulnerability-disclosure/&lt;/div&gt;`)[0];\n",
-       "                popup_d8cabb71656a0ea0ea5d4ea7234e4602.setContent(html_428824c7e3feafe4f213ee78898108fd);\n",
+       "                var html_5b24dbe89392f0be39e31ac78b139815 = $(`&lt;div id=&quot;html_5b24dbe89392f0be39e31ac78b139815&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;FPT Software Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.fpt-software.com/vulnerability-disclosure/&lt;/div&gt;`)[0];\n",
+       "                popup_64a94f8aad3d6416b156712c9239782b.setContent(html_5b24dbe89392f0be39e31ac78b139815);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c3d1917e5fe91dc144581a411088e52a.bindPopup(popup_d8cabb71656a0ea0ea5d4ea7234e4602)\n",
+       "        marker_88f79eb1b15f96f1016ffb02882fa24b.bindPopup(popup_64a94f8aad3d6416b156712c9239782b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e2a7977fb542e3acfc28f57888c63fc4 = L.marker(\n",
+       "            var marker_27d2dad09333a8d08e8fcddb42cf5b30 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_09c68eb37cb7ee3036e83757ab2f42e3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cd0a3584f13bc9061aa02ae8fa9bf29a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e2a7977fb542e3acfc28f57888c63fc4.setIcon(icon_09c68eb37cb7ee3036e83757ab2f42e3);\n",
+       "            marker_27d2dad09333a8d08e8fcddb42cf5b30.setIcon(icon_cd0a3584f13bc9061aa02ae8fa9bf29a);\n",
        "        \n",
        "    \n",
-       "        var popup_8821cac4852e3c8dd5908ecab48551d1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1bc0bef37059a8757aae50822ac72291 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_65046cb3efca2054de5c99fc491dc7f9 = $(`&lt;div id=&quot;html_65046cb3efca2054de5c99fc491dc7f9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;FreeBSD&lt;/b&gt; &lt;br&gt;https://www.freebsd.org/&lt;/div&gt;`)[0];\n",
-       "                popup_8821cac4852e3c8dd5908ecab48551d1.setContent(html_65046cb3efca2054de5c99fc491dc7f9);\n",
+       "                var html_e97d714d679c8debc23b59dbfc6b608d = $(`&lt;div id=&quot;html_e97d714d679c8debc23b59dbfc6b608d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;FreeBSD&lt;/b&gt; &lt;br&gt;https://www.freebsd.org/&lt;/div&gt;`)[0];\n",
+       "                popup_1bc0bef37059a8757aae50822ac72291.setContent(html_e97d714d679c8debc23b59dbfc6b608d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e2a7977fb542e3acfc28f57888c63fc4.bindPopup(popup_8821cac4852e3c8dd5908ecab48551d1)\n",
+       "        marker_27d2dad09333a8d08e8fcddb42cf5b30.bindPopup(popup_1bc0bef37059a8757aae50822ac72291)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b5aaae40ed4afcb3c0e941adefcc7a6f = L.marker(\n",
+       "            var marker_0c4a497636bd56d3ba4d64456fd73c93 = L.marker(\n",
        "                [-41.5000831, 172.8344077],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6005cd885adff3e592e6f5a4f4d937ee = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_653d7ac46b1451b0ebccf8ee45ae9829 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b5aaae40ed4afcb3c0e941adefcc7a6f.setIcon(icon_6005cd885adff3e592e6f5a4f4d937ee);\n",
+       "            marker_0c4a497636bd56d3ba4d64456fd73c93.setIcon(icon_653d7ac46b1451b0ebccf8ee45ae9829);\n",
        "        \n",
        "    \n",
-       "        var popup_e1db3fc437cb76cb3377679975e7d9bd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0bc5b776edb5cceff724849a522d9cd8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ac2ecfbbafa7b7277bb4c488c73224b4 = $(`&lt;div id=&quot;html_ac2ecfbbafa7b7277bb4c488c73224b4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Gallagher Group Ltd.&lt;/b&gt; &lt;br&gt;https://security.gallagher.com/Security-Advisories&lt;/div&gt;`)[0];\n",
-       "                popup_e1db3fc437cb76cb3377679975e7d9bd.setContent(html_ac2ecfbbafa7b7277bb4c488c73224b4);\n",
+       "                var html_7dae3b45fafe49ecfa580848d858ee69 = $(`&lt;div id=&quot;html_7dae3b45fafe49ecfa580848d858ee69&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Gallagher Group Ltd.&lt;/b&gt; &lt;br&gt;https://security.gallagher.com/Security-Advisories&lt;/div&gt;`)[0];\n",
+       "                popup_0bc5b776edb5cceff724849a522d9cd8.setContent(html_7dae3b45fafe49ecfa580848d858ee69);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b5aaae40ed4afcb3c0e941adefcc7a6f.bindPopup(popup_e1db3fc437cb76cb3377679975e7d9bd)\n",
+       "        marker_0c4a497636bd56d3ba4d64456fd73c93.bindPopup(popup_0bc5b776edb5cceff724849a522d9cd8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3e4c48ab13871ccdc840e899cf3eea79 = L.marker(\n",
+       "            var marker_f77c6f2a1ed65da6e0777024e1a9901d = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_55a6c63d21f77f564d8567dc9b88bbd2 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_69f4b036a193bfa1ae9eecbe45b456d8 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3e4c48ab13871ccdc840e899cf3eea79.setIcon(icon_55a6c63d21f77f564d8567dc9b88bbd2);\n",
+       "            marker_f77c6f2a1ed65da6e0777024e1a9901d.setIcon(icon_69f4b036a193bfa1ae9eecbe45b456d8);\n",
        "        \n",
        "    \n",
-       "        var popup_3c6c0a32d318ac3e851ee9b7fc06a48e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a34dbb404d29713fe3ae17dc83cfac80 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_620fed6e2f031ed5d7e0bf2232f8850b = $(`&lt;div id=&quot;html_620fed6e2f031ed5d7e0bf2232f8850b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GitHub, Inc.&lt;/b&gt; &lt;br&gt;https://github.com/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_3c6c0a32d318ac3e851ee9b7fc06a48e.setContent(html_620fed6e2f031ed5d7e0bf2232f8850b);\n",
+       "                var html_f0bb281c649364e470033eb9fc199a66 = $(`&lt;div id=&quot;html_f0bb281c649364e470033eb9fc199a66&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GitHub, Inc.&lt;/b&gt; &lt;br&gt;https://github.com/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_a34dbb404d29713fe3ae17dc83cfac80.setContent(html_f0bb281c649364e470033eb9fc199a66);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3e4c48ab13871ccdc840e899cf3eea79.bindPopup(popup_3c6c0a32d318ac3e851ee9b7fc06a48e)\n",
+       "        marker_f77c6f2a1ed65da6e0777024e1a9901d.bindPopup(popup_a34dbb404d29713fe3ae17dc83cfac80)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3551b4e6638d2ee6bd651dd60885efb8 = L.marker(\n",
+       "            var marker_58c72f332a26b22b6ce891458ad4be81 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_144d38712c884dd80654a51a72359c60 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b3739f8ea20ace0833bc00f87a4c9c75 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3551b4e6638d2ee6bd651dd60885efb8.setIcon(icon_144d38712c884dd80654a51a72359c60);\n",
+       "            marker_58c72f332a26b22b6ce891458ad4be81.setIcon(icon_b3739f8ea20ace0833bc00f87a4c9c75);\n",
        "        \n",
        "    \n",
-       "        var popup_4098e7cfe93665e3ad16e9479def1ca7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_16d2e02a5023e79b0cab6cb879fa3922 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e3e1ee6218d350bd33d359c62ced6aef = $(`&lt;div id=&quot;html_e3e1ee6218d350bd33d359c62ced6aef&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GitHub, Inc. (Products Only)&lt;/b&gt; &lt;br&gt;https://enterprise.github.com/releases&lt;/div&gt;`)[0];\n",
-       "                popup_4098e7cfe93665e3ad16e9479def1ca7.setContent(html_e3e1ee6218d350bd33d359c62ced6aef);\n",
+       "                var html_856a17e5a58857a7bd82f2770828bf6e = $(`&lt;div id=&quot;html_856a17e5a58857a7bd82f2770828bf6e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GitHub, Inc. (Products Only)&lt;/b&gt; &lt;br&gt;https://enterprise.github.com/releases&lt;/div&gt;`)[0];\n",
+       "                popup_16d2e02a5023e79b0cab6cb879fa3922.setContent(html_856a17e5a58857a7bd82f2770828bf6e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3551b4e6638d2ee6bd651dd60885efb8.bindPopup(popup_4098e7cfe93665e3ad16e9479def1ca7)\n",
+       "        marker_58c72f332a26b22b6ce891458ad4be81.bindPopup(popup_16d2e02a5023e79b0cab6cb879fa3922)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8cf00b714b1a47b58adf2a8ad441d8d7 = L.marker(\n",
+       "            var marker_62806a0bb8d9e831331e7fdfe9eea7e5 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3124cf27cf5cba8981ff5ae735d0fcbe = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_1bb7d0120a3f3af15a62a8021e786a59 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8cf00b714b1a47b58adf2a8ad441d8d7.setIcon(icon_3124cf27cf5cba8981ff5ae735d0fcbe);\n",
+       "            marker_62806a0bb8d9e831331e7fdfe9eea7e5.setIcon(icon_1bb7d0120a3f3af15a62a8021e786a59);\n",
        "        \n",
        "    \n",
-       "        var popup_5a0e5ed476f768ed8ec3fa4bf2214324 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1591326d5def2249350c2405b48f894b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_bda52825df72275f64c8aab4b73d9752 = $(`&lt;div id=&quot;html_bda52825df72275f64c8aab4b73d9752&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GitLab Inc.&lt;/b&gt; &lt;br&gt;https://gitlab.com/gitlab-org/cves&lt;/div&gt;`)[0];\n",
-       "                popup_5a0e5ed476f768ed8ec3fa4bf2214324.setContent(html_bda52825df72275f64c8aab4b73d9752);\n",
+       "                var html_76b9a8d669b72bceee75cdd50034431b = $(`&lt;div id=&quot;html_76b9a8d669b72bceee75cdd50034431b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GitLab Inc.&lt;/b&gt; &lt;br&gt;https://gitlab.com/gitlab-org/cves&lt;/div&gt;`)[0];\n",
+       "                popup_1591326d5def2249350c2405b48f894b.setContent(html_76b9a8d669b72bceee75cdd50034431b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8cf00b714b1a47b58adf2a8ad441d8d7.bindPopup(popup_5a0e5ed476f768ed8ec3fa4bf2214324)\n",
+       "        marker_62806a0bb8d9e831331e7fdfe9eea7e5.bindPopup(popup_1591326d5def2249350c2405b48f894b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_da1a3bfe1bd93ed616fb21f506a10cf2 = L.marker(\n",
+       "            var marker_00636cf9657eb8988fb870b8ed28604f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_2cd3821745223c7ceaacbe30423ce9e0 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_778d18bbd90a2bf98c0b8271254eb4b7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_da1a3bfe1bd93ed616fb21f506a10cf2.setIcon(icon_2cd3821745223c7ceaacbe30423ce9e0);\n",
+       "            marker_00636cf9657eb8988fb870b8ed28604f.setIcon(icon_778d18bbd90a2bf98c0b8271254eb4b7);\n",
        "        \n",
        "    \n",
-       "        var popup_308e4e7a3bc473db690d41339db4d2fc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_40ba8784b740ec6b0ad09d5f98b21de3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fcf209b84d3463f4fa61f8020418ca41 = $(`&lt;div id=&quot;html_fcf209b84d3463f4fa61f8020418ca41&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Google LLC&lt;/b&gt; &lt;br&gt;https://cloud.google.com/support/bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_308e4e7a3bc473db690d41339db4d2fc.setContent(html_fcf209b84d3463f4fa61f8020418ca41);\n",
+       "                var html_7156430289f802a39f51bf13b99c8046 = $(`&lt;div id=&quot;html_7156430289f802a39f51bf13b99c8046&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Google LLC&lt;/b&gt; &lt;br&gt;https://cloud.google.com/support/bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_40ba8784b740ec6b0ad09d5f98b21de3.setContent(html_7156430289f802a39f51bf13b99c8046);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_da1a3bfe1bd93ed616fb21f506a10cf2.bindPopup(popup_308e4e7a3bc473db690d41339db4d2fc)\n",
+       "        marker_00636cf9657eb8988fb870b8ed28604f.bindPopup(popup_40ba8784b740ec6b0ad09d5f98b21de3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ba5ad3ccb9b8257c465a156e0a765207 = L.marker(\n",
+       "            var marker_36322a9d6e8d4dadcaac6b9bad596a73 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_119741176db355716054ea1f36af371d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_79ad41b42593f6017ed9e31ca62d8abc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ba5ad3ccb9b8257c465a156e0a765207.setIcon(icon_119741176db355716054ea1f36af371d);\n",
+       "            marker_36322a9d6e8d4dadcaac6b9bad596a73.setIcon(icon_79ad41b42593f6017ed9e31ca62d8abc);\n",
        "        \n",
        "    \n",
-       "        var popup_5f1be62b55309a3fbb3fb9afed6a9ae3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8c29c80db3cf5a7524119506e715474b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a3d2afe2219a6bc5c9269cb1874fdddc = $(`&lt;div id=&quot;html_a3d2afe2219a6bc5c9269cb1874fdddc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GS McNamara LLC&lt;/b&gt; &lt;br&gt;https://gsmcnamara.github.io/CVE/&lt;/div&gt;`)[0];\n",
-       "                popup_5f1be62b55309a3fbb3fb9afed6a9ae3.setContent(html_a3d2afe2219a6bc5c9269cb1874fdddc);\n",
+       "                var html_e512e8428938860e50d07d835af31ee2 = $(`&lt;div id=&quot;html_e512e8428938860e50d07d835af31ee2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GS McNamara LLC&lt;/b&gt; &lt;br&gt;https://gsmcnamara.github.io/CVE/&lt;/div&gt;`)[0];\n",
+       "                popup_8c29c80db3cf5a7524119506e715474b.setContent(html_e512e8428938860e50d07d835af31ee2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ba5ad3ccb9b8257c465a156e0a765207.bindPopup(popup_5f1be62b55309a3fbb3fb9afed6a9ae3)\n",
+       "        marker_36322a9d6e8d4dadcaac6b9bad596a73.bindPopup(popup_8c29c80db3cf5a7524119506e715474b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a68549eaf120e51ae94fc60e4fe45546 = L.marker(\n",
+       "            var marker_fb80b5ed49a983854c2bbea7be191fee = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5b809b15b8bf4f22979a11a88fa23841 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_80b262b6b11691033984679256f0ede2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a68549eaf120e51ae94fc60e4fe45546.setIcon(icon_5b809b15b8bf4f22979a11a88fa23841);\n",
+       "            marker_fb80b5ed49a983854c2bbea7be191fee.setIcon(icon_80b262b6b11691033984679256f0ede2);\n",
        "        \n",
        "    \n",
-       "        var popup_3e84884308874e6947f8fcd018393d10 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a5f9e0560d861267bd0c4d814d6ab810 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d3dbe01ec20a227a8f9ec9b781417315 = $(`&lt;div id=&quot;html_d3dbe01ec20a227a8f9ec9b781417315&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HackerOne&lt;/b&gt; &lt;br&gt;https://hackerone.com/hacktivity?querystring=&amp;filter=type:hacker-published&amp;order_direction=DESC&amp;order_field=popular&lt;/div&gt;`)[0];\n",
-       "                popup_3e84884308874e6947f8fcd018393d10.setContent(html_d3dbe01ec20a227a8f9ec9b781417315);\n",
+       "                var html_686c7f1cb2966da3499b91e107277238 = $(`&lt;div id=&quot;html_686c7f1cb2966da3499b91e107277238&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HackerOne&lt;/b&gt; &lt;br&gt;https://hackerone.com/hacktivity?querystring=&amp;filter=type:hacker-published&amp;order_direction=DESC&amp;order_field=popular&lt;/div&gt;`)[0];\n",
+       "                popup_a5f9e0560d861267bd0c4d814d6ab810.setContent(html_686c7f1cb2966da3499b91e107277238);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a68549eaf120e51ae94fc60e4fe45546.bindPopup(popup_3e84884308874e6947f8fcd018393d10)\n",
+       "        marker_fb80b5ed49a983854c2bbea7be191fee.bindPopup(popup_a5f9e0560d861267bd0c4d814d6ab810)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7d9d1bcbf594d19ee5a2b031f32c20ea = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_c9e263f97f26ea23583ca3a95bc37a16 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e4103461f92eb25edcc6c2286b068b67 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6cd5aea2a8c9a99369743a2af8c7650c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7d9d1bcbf594d19ee5a2b031f32c20ea.setIcon(icon_e4103461f92eb25edcc6c2286b068b67);\n",
+       "            marker_c9e263f97f26ea23583ca3a95bc37a16.setIcon(icon_6cd5aea2a8c9a99369743a2af8c7650c);\n",
        "        \n",
        "    \n",
-       "        var popup_38089cf96b6e9e78d1a26f1e08a80616 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3a80883936132970b751aba6aba1af87 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_71f54df558a3b45ac7e9443c5ac882cc = $(`&lt;div id=&quot;html_71f54df558a3b45ac7e9443c5ac882cc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hangzhou Hikvision Digital Technology Co., Ltd.&lt;/b&gt; &lt;br&gt;https://us.hikvision.com/en/support-resources/cybersecurity-center/security-notices&lt;/div&gt;`)[0];\n",
-       "                popup_38089cf96b6e9e78d1a26f1e08a80616.setContent(html_71f54df558a3b45ac7e9443c5ac882cc);\n",
+       "                var html_1c5a3742b1093306b2dd42ef596b90a0 = $(`&lt;div id=&quot;html_1c5a3742b1093306b2dd42ef596b90a0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hangzhou Hikvision Digital Technology Co., Ltd.&lt;/b&gt; &lt;br&gt;https://us.hikvision.com/en/support-resources/cybersecurity-center/security-notices&lt;/div&gt;`)[0];\n",
+       "                popup_3a80883936132970b751aba6aba1af87.setContent(html_1c5a3742b1093306b2dd42ef596b90a0);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7d9d1bcbf594d19ee5a2b031f32c20ea.bindPopup(popup_38089cf96b6e9e78d1a26f1e08a80616)\n",
+       "        marker_c9e263f97f26ea23583ca3a95bc37a16.bindPopup(popup_3a80883936132970b751aba6aba1af87)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8f90e0769a1370f2f90c6351ebf2b3a2 = L.marker(\n",
+       "            var marker_9e6980481c0d3e0db4de7970848d1166 = L.marker(\n",
        "                [22.3511148, 78.6677428],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_37b37f5568075d10441f3203cce87979 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_75ec4a0e5e8d143497bb7c48c598d94f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8f90e0769a1370f2f90c6351ebf2b3a2.setIcon(icon_37b37f5568075d10441f3203cce87979);\n",
+       "            marker_9e6980481c0d3e0db4de7970848d1166.setIcon(icon_75ec4a0e5e8d143497bb7c48c598d94f);\n",
        "        \n",
        "    \n",
-       "        var popup_89148c89ea6a8ff04d12c091dd887802 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_03723ceac5bf4c9a5c942b72cde59563 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a82a3dd17de61b9f9bb671d8d8c65a3b = $(`&lt;div id=&quot;html_a82a3dd17de61b9f9bb671d8d8c65a3b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HCL Software&lt;/b&gt; &lt;br&gt;https://hclpnpsupport.hcltech.com/csm?id=search&amp;spa=1&amp;t=kb&amp;q=Security%20Bulletin&lt;/div&gt;`)[0];\n",
-       "                popup_89148c89ea6a8ff04d12c091dd887802.setContent(html_a82a3dd17de61b9f9bb671d8d8c65a3b);\n",
+       "                var html_69397e3421b28e2c29036fbab0bce76d = $(`&lt;div id=&quot;html_69397e3421b28e2c29036fbab0bce76d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HCL Software&lt;/b&gt; &lt;br&gt;https://hclpnpsupport.hcltech.com/csm?id=search&amp;spa=1&amp;t=kb&amp;q=Security%20Bulletin&lt;/div&gt;`)[0];\n",
+       "                popup_03723ceac5bf4c9a5c942b72cde59563.setContent(html_69397e3421b28e2c29036fbab0bce76d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8f90e0769a1370f2f90c6351ebf2b3a2.bindPopup(popup_89148c89ea6a8ff04d12c091dd887802)\n",
+       "        marker_9e6980481c0d3e0db4de7970848d1166.bindPopup(popup_03723ceac5bf4c9a5c942b72cde59563)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0513e07d8c5ec582d70268078cce423d = L.marker(\n",
+       "            var marker_a0f09c472e67dde7571c8bcd8745b9e1 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_2c797b408fae2e120d3c7cae597c6e78 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_847144f731978ab83dff2a2e5078a0db = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0513e07d8c5ec582d70268078cce423d.setIcon(icon_2c797b408fae2e120d3c7cae597c6e78);\n",
+       "            marker_a0f09c472e67dde7571c8bcd8745b9e1.setIcon(icon_847144f731978ab83dff2a2e5078a0db);\n",
        "        \n",
        "    \n",
-       "        var popup_5499685d8103a2b158f6fc62fe827b24 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3efcdf1748fa5217f9cb5a240246b775 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_03731ba4188599908f78fc88d8837305 = $(`&lt;div id=&quot;html_03731ba4188599908f78fc88d8837305&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hewlett Packard Enterprise (HPE)&lt;/b&gt; &lt;br&gt;https://support.hpe.com/portal/site/hpsc/public/kb/secBullArchive/&lt;/div&gt;`)[0];\n",
-       "                popup_5499685d8103a2b158f6fc62fe827b24.setContent(html_03731ba4188599908f78fc88d8837305);\n",
+       "                var html_cbcb67eeee4fa866d62542893f849bd0 = $(`&lt;div id=&quot;html_cbcb67eeee4fa866d62542893f849bd0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hewlett Packard Enterprise (HPE)&lt;/b&gt; &lt;br&gt;https://support.hpe.com/portal/site/hpsc/public/kb/secBullArchive/&lt;/div&gt;`)[0];\n",
+       "                popup_3efcdf1748fa5217f9cb5a240246b775.setContent(html_cbcb67eeee4fa866d62542893f849bd0);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0513e07d8c5ec582d70268078cce423d.bindPopup(popup_5499685d8103a2b158f6fc62fe827b24)\n",
+       "        marker_a0f09c472e67dde7571c8bcd8745b9e1.bindPopup(popup_3efcdf1748fa5217f9cb5a240246b775)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c1c12c69d0854817423b1a3d88df131a = L.marker(\n",
+       "            var marker_bb10f421984e43708aad16d29bfe10ab = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3a7b4edc84cf84bb05acf762e120cb26 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_264cb4c532c4d5bcb0b6b5fd038966c7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c1c12c69d0854817423b1a3d88df131a.setIcon(icon_3a7b4edc84cf84bb05acf762e120cb26);\n",
+       "            marker_bb10f421984e43708aad16d29bfe10ab.setIcon(icon_264cb4c532c4d5bcb0b6b5fd038966c7);\n",
        "        \n",
        "    \n",
-       "        var popup_a36bb0e5586468fc4875f6a12a8b1079 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_690e99106c7c09eaf2b27ecf07cbe839 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3d4fdf95d0eda0abf4916fe42d43c08f = $(`&lt;div id=&quot;html_3d4fdf95d0eda0abf4916fe42d43c08f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hitachi Energy&lt;/b&gt; &lt;br&gt;https://www.hitachienergy.com/cybersecurity/alerts-and-notifications&lt;/div&gt;`)[0];\n",
-       "                popup_a36bb0e5586468fc4875f6a12a8b1079.setContent(html_3d4fdf95d0eda0abf4916fe42d43c08f);\n",
+       "                var html_6253d1f6e5989ea18a58513bb9b5569e = $(`&lt;div id=&quot;html_6253d1f6e5989ea18a58513bb9b5569e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hitachi Energy&lt;/b&gt; &lt;br&gt;https://www.hitachienergy.com/cybersecurity/alerts-and-notifications&lt;/div&gt;`)[0];\n",
+       "                popup_690e99106c7c09eaf2b27ecf07cbe839.setContent(html_6253d1f6e5989ea18a58513bb9b5569e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c1c12c69d0854817423b1a3d88df131a.bindPopup(popup_a36bb0e5586468fc4875f6a12a8b1079)\n",
+       "        marker_bb10f421984e43708aad16d29bfe10ab.bindPopup(popup_690e99106c7c09eaf2b27ecf07cbe839)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_bf62538e8f7f53969fb4572c6d8e6582 = L.marker(\n",
+       "            var marker_b817cc1167313eb0b4e0fd5c919c1174 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9f1fe67c5934151ab387088806e6e6f8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_96c011d94a646f8f545d92a74e337ac4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_bf62538e8f7f53969fb4572c6d8e6582.setIcon(icon_9f1fe67c5934151ab387088806e6e6f8);\n",
+       "            marker_b817cc1167313eb0b4e0fd5c919c1174.setIcon(icon_96c011d94a646f8f545d92a74e337ac4);\n",
        "        \n",
        "    \n",
-       "        var popup_cdc293ab95b978da2db1d5d060b11bc2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a59e6fe3767c19f6dda29a27b447a1c8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_40871bdc4b399e0f270afb5ca9a1796d = $(`&lt;div id=&quot;html_40871bdc4b399e0f270afb5ca9a1796d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HP Inc.&lt;/b&gt; &lt;br&gt;https://support.hp.com/us-en/security-bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_cdc293ab95b978da2db1d5d060b11bc2.setContent(html_40871bdc4b399e0f270afb5ca9a1796d);\n",
+       "                var html_4896ff9b19327a808244b53c11d8e34d = $(`&lt;div id=&quot;html_4896ff9b19327a808244b53c11d8e34d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HP Inc.&lt;/b&gt; &lt;br&gt;https://support.hp.com/us-en/security-bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_a59e6fe3767c19f6dda29a27b447a1c8.setContent(html_4896ff9b19327a808244b53c11d8e34d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_bf62538e8f7f53969fb4572c6d8e6582.bindPopup(popup_cdc293ab95b978da2db1d5d060b11bc2)\n",
+       "        marker_b817cc1167313eb0b4e0fd5c919c1174.bindPopup(popup_a59e6fe3767c19f6dda29a27b447a1c8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_73e2a0df582e4ab934a6b8f20f782514 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_6ec3396aaeececd7aa99b6135a1915e4 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0e6031a61c2d27d79e47ed01f237ed18 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3866aabeacbff8114653aac4752ff046 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_73e2a0df582e4ab934a6b8f20f782514.setIcon(icon_0e6031a61c2d27d79e47ed01f237ed18);\n",
+       "            marker_6ec3396aaeececd7aa99b6135a1915e4.setIcon(icon_3866aabeacbff8114653aac4752ff046);\n",
        "        \n",
        "    \n",
-       "        var popup_d65900383a14145e66ed6954e217ad90 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5ffb618743f134d8c47e53d5031f15fc = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e59e54bd1a9b619fa8e95d8688dcc089 = $(`&lt;div id=&quot;html_e59e54bd1a9b619fa8e95d8688dcc089&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Huawei Technologies&lt;/b&gt; &lt;br&gt;https://www.huawei.com/en/psirt/all-bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_d65900383a14145e66ed6954e217ad90.setContent(html_e59e54bd1a9b619fa8e95d8688dcc089);\n",
+       "                var html_116ca0b8d55cb729f0e0de5afcf658dd = $(`&lt;div id=&quot;html_116ca0b8d55cb729f0e0de5afcf658dd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Huawei Technologies&lt;/b&gt; &lt;br&gt;https://www.huawei.com/en/psirt/all-bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_5ffb618743f134d8c47e53d5031f15fc.setContent(html_116ca0b8d55cb729f0e0de5afcf658dd);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_73e2a0df582e4ab934a6b8f20f782514.bindPopup(popup_d65900383a14145e66ed6954e217ad90)\n",
+       "        marker_6ec3396aaeececd7aa99b6135a1915e4.bindPopup(popup_5ffb618743f134d8c47e53d5031f15fc)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_54807cbb2e2ecea5238531fbf976eb1e = L.marker(\n",
+       "            var marker_d4b420d7289afa609d0f89c764cd55c1 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d6136f3ffb8b3448f9a95a7540037cb8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_86b8e3ec895964429b215a9ace067897 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_54807cbb2e2ecea5238531fbf976eb1e.setIcon(icon_d6136f3ffb8b3448f9a95a7540037cb8);\n",
+       "            marker_d4b420d7289afa609d0f89c764cd55c1.setIcon(icon_86b8e3ec895964429b215a9ace067897);\n",
        "        \n",
        "    \n",
-       "        var popup_8a906c0c1317b4572c76ce9923fbf4b0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_54d13324279515af9ae04f19d856a79a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_eb3d6303d1e8d92bff4dce485749ed11 = $(`&lt;div id=&quot;html_eb3d6303d1e8d92bff4dce485749ed11&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Protect AI (formerly huntr.dev)&lt;/b&gt; &lt;br&gt;https://huntr.com/bounties/hacktivity&lt;/div&gt;`)[0];\n",
-       "                popup_8a906c0c1317b4572c76ce9923fbf4b0.setContent(html_eb3d6303d1e8d92bff4dce485749ed11);\n",
+       "                var html_395043534c74dcb5d965a5b688332a17 = $(`&lt;div id=&quot;html_395043534c74dcb5d965a5b688332a17&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Protect AI (formerly huntr.dev)&lt;/b&gt; &lt;br&gt;https://huntr.com/bounties/hacktivity&lt;/div&gt;`)[0];\n",
+       "                popup_54d13324279515af9ae04f19d856a79a.setContent(html_395043534c74dcb5d965a5b688332a17);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_54807cbb2e2ecea5238531fbf976eb1e.bindPopup(popup_8a906c0c1317b4572c76ce9923fbf4b0)\n",
+       "        marker_d4b420d7289afa609d0f89c764cd55c1.bindPopup(popup_54d13324279515af9ae04f19d856a79a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a755e40a8589c02ece7fa04937ec9efc = L.marker(\n",
+       "            var marker_3ba232da757e24d521c34ccb055115ea = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f3011ad9535d75c193070300a056d757 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6bc643f063aa5e53d11a224653e1c2bb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a755e40a8589c02ece7fa04937ec9efc.setIcon(icon_f3011ad9535d75c193070300a056d757);\n",
+       "            marker_3ba232da757e24d521c34ccb055115ea.setIcon(icon_6bc643f063aa5e53d11a224653e1c2bb);\n",
        "        \n",
        "    \n",
-       "        var popup_249fb0ceaa41e7385c608d7fac8ce8d9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_af95a2ddf953376d33a9154d6e2589b4 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b38165ce87b6d51e679c239a617c78ff = $(`&lt;div id=&quot;html_b38165ce87b6d51e679c239a617c78ff&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;IBM Corporation&lt;/b&gt; &lt;br&gt;https://www.ibm.com/support/pages/bulletin/&lt;/div&gt;`)[0];\n",
-       "                popup_249fb0ceaa41e7385c608d7fac8ce8d9.setContent(html_b38165ce87b6d51e679c239a617c78ff);\n",
+       "                var html_eba01cc968a3fc70b7811548dc50e923 = $(`&lt;div id=&quot;html_eba01cc968a3fc70b7811548dc50e923&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;IBM Corporation&lt;/b&gt; &lt;br&gt;https://www.ibm.com/support/pages/bulletin/&lt;/div&gt;`)[0];\n",
+       "                popup_af95a2ddf953376d33a9154d6e2589b4.setContent(html_eba01cc968a3fc70b7811548dc50e923);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a755e40a8589c02ece7fa04937ec9efc.bindPopup(popup_249fb0ceaa41e7385c608d7fac8ce8d9)\n",
+       "        marker_3ba232da757e24d521c34ccb055115ea.bindPopup(popup_af95a2ddf953376d33a9154d6e2589b4)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3720a7fa994e6d39e340e44b25831f08 = L.marker(\n",
+       "            var marker_e456e1881b55f019858603af926b8608 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_80237e0b5e88325a05bf7f076dabd5a4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c8ace5d50e27f610153ada63f8a82d5d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3720a7fa994e6d39e340e44b25831f08.setIcon(icon_80237e0b5e88325a05bf7f076dabd5a4);\n",
+       "            marker_e456e1881b55f019858603af926b8608.setIcon(icon_c8ace5d50e27f610153ada63f8a82d5d);\n",
        "        \n",
        "    \n",
-       "        var popup_c936a000258f9c95c9822c906cbaf14a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a989d0c6efe3b720cd44edf5c941fba8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_67d92b2990d4610b1866d29d7d59fa9b = $(`&lt;div id=&quot;html_67d92b2990d4610b1866d29d7d59fa9b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Intel Corporation&lt;/b&gt; &lt;br&gt;https://www.intel.com/content/www/us/en/security-center/default.html&lt;/div&gt;`)[0];\n",
-       "                popup_c936a000258f9c95c9822c906cbaf14a.setContent(html_67d92b2990d4610b1866d29d7d59fa9b);\n",
+       "                var html_5ae5930bf2065093172b3ea215d8dc63 = $(`&lt;div id=&quot;html_5ae5930bf2065093172b3ea215d8dc63&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Intel Corporation&lt;/b&gt; &lt;br&gt;https://www.intel.com/content/www/us/en/security-center/default.html&lt;/div&gt;`)[0];\n",
+       "                popup_a989d0c6efe3b720cd44edf5c941fba8.setContent(html_5ae5930bf2065093172b3ea215d8dc63);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3720a7fa994e6d39e340e44b25831f08.bindPopup(popup_c936a000258f9c95c9822c906cbaf14a)\n",
+       "        marker_e456e1881b55f019858603af926b8608.bindPopup(popup_a989d0c6efe3b720cd44edf5c941fba8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b415ca5b7ec10280468755876a391e52 = L.marker(\n",
+       "            var marker_b4b6e39d722bfd19aeb7ce880f3975eb = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a486cbd9f458a79363b8f5d63485dfc3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8520147575a4bac1cfccab6c5d054335 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b415ca5b7ec10280468755876a391e52.setIcon(icon_a486cbd9f458a79363b8f5d63485dfc3);\n",
+       "            marker_b4b6e39d722bfd19aeb7ce880f3975eb.setIcon(icon_8520147575a4bac1cfccab6c5d054335);\n",
        "        \n",
        "    \n",
-       "        var popup_e1f12814cea4d1d31bda373be38c9e2d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c0949c39e3c8d234d64a326f9c20ac58 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4e250a50c78c901303fd551c3f953368 = $(`&lt;div id=&quot;html_4e250a50c78c901303fd551c3f953368&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Internet Systems Consortium (ISC)&lt;/b&gt; &lt;br&gt;https://kb.isc.org/docs/aa-01020&lt;/div&gt;`)[0];\n",
-       "                popup_e1f12814cea4d1d31bda373be38c9e2d.setContent(html_4e250a50c78c901303fd551c3f953368);\n",
+       "                var html_572649971315a3811a316e2d4c519c1a = $(`&lt;div id=&quot;html_572649971315a3811a316e2d4c519c1a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Internet Systems Consortium (ISC)&lt;/b&gt; &lt;br&gt;https://kb.isc.org/docs/aa-01020&lt;/div&gt;`)[0];\n",
+       "                popup_c0949c39e3c8d234d64a326f9c20ac58.setContent(html_572649971315a3811a316e2d4c519c1a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b415ca5b7ec10280468755876a391e52.bindPopup(popup_e1f12814cea4d1d31bda373be38c9e2d)\n",
+       "        marker_b4b6e39d722bfd19aeb7ce880f3975eb.bindPopup(popup_c0949c39e3c8d234d64a326f9c20ac58)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a5761e4415c1a8b4c91e43e3159a3200 = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_bfa66340e4b37ad45fc1909075735bd1 = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_42c64aff74361a3005d37244d699e93c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d0a4ede5f52ad6b51a961aadc095eea2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a5761e4415c1a8b4c91e43e3159a3200.setIcon(icon_42c64aff74361a3005d37244d699e93c);\n",
+       "            marker_bfa66340e4b37ad45fc1909075735bd1.setIcon(icon_d0a4ede5f52ad6b51a961aadc095eea2);\n",
        "        \n",
        "    \n",
-       "        var popup_3c0112f0dacb16aa1e2aafcf687a28f9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_351dd30595cdc408945f882f1c59947d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4e663714ee9114ae38c720844f6342b9 = $(`&lt;div id=&quot;html_4e663714ee9114ae38c720844f6342b9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Israel National Cyber Directorate (INCD)&lt;/b&gt; &lt;br&gt;https://www.gov.il/en/departments/faq/cve_advisories&lt;/div&gt;`)[0];\n",
-       "                popup_3c0112f0dacb16aa1e2aafcf687a28f9.setContent(html_4e663714ee9114ae38c720844f6342b9);\n",
+       "                var html_6f28121b4678f5844fd4cfe82b8d21c2 = $(`&lt;div id=&quot;html_6f28121b4678f5844fd4cfe82b8d21c2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Israel National Cyber Directorate (INCD)&lt;/b&gt; &lt;br&gt;https://www.gov.il/en/departments/faq/cve_advisories&lt;/div&gt;`)[0];\n",
+       "                popup_351dd30595cdc408945f882f1c59947d.setContent(html_6f28121b4678f5844fd4cfe82b8d21c2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a5761e4415c1a8b4c91e43e3159a3200.bindPopup(popup_3c0112f0dacb16aa1e2aafcf687a28f9)\n",
+       "        marker_bfa66340e4b37ad45fc1909075735bd1.bindPopup(popup_351dd30595cdc408945f882f1c59947d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_92a349b5e8c5e0e9322777c3e724a317 = L.marker(\n",
+       "            var marker_775c876bd28c880e2f7b4c343164acb3 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0c40294e63cbc29cf6968b589a51f60e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_fe22251f360a78e82c356159ff643863 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_92a349b5e8c5e0e9322777c3e724a317.setIcon(icon_0c40294e63cbc29cf6968b589a51f60e);\n",
+       "            marker_775c876bd28c880e2f7b4c343164acb3.setIcon(icon_fe22251f360a78e82c356159ff643863);\n",
        "        \n",
        "    \n",
-       "        var popup_3ed16baf874175d8cb74494d305bd3e5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ea1bfd1b6b71197852aa673f75c17a25 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b085510feec0aa512006f2d7211b6b53 = $(`&lt;div id=&quot;html_b085510feec0aa512006f2d7211b6b53&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Jenkins Project&lt;/b&gt; &lt;br&gt;https://jenkins.io/security/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_3ed16baf874175d8cb74494d305bd3e5.setContent(html_b085510feec0aa512006f2d7211b6b53);\n",
+       "                var html_903fc73addcdcca2103d16756d27514e = $(`&lt;div id=&quot;html_903fc73addcdcca2103d16756d27514e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Jenkins Project&lt;/b&gt; &lt;br&gt;https://jenkins.io/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_ea1bfd1b6b71197852aa673f75c17a25.setContent(html_903fc73addcdcca2103d16756d27514e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_92a349b5e8c5e0e9322777c3e724a317.bindPopup(popup_3ed16baf874175d8cb74494d305bd3e5)\n",
+       "        marker_775c876bd28c880e2f7b4c343164acb3.bindPopup(popup_ea1bfd1b6b71197852aa673f75c17a25)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_123e369c1353fa04aca939f2749aeb7a = L.marker(\n",
+       "            var marker_267ca190342325d80622efa7c5a46d83 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d0daff9aab32628be044771d6ce318d9 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cb132601e0f2b546e2e70aaf23f3a317 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_123e369c1353fa04aca939f2749aeb7a.setIcon(icon_d0daff9aab32628be044771d6ce318d9);\n",
+       "            marker_267ca190342325d80622efa7c5a46d83.setIcon(icon_cb132601e0f2b546e2e70aaf23f3a317);\n",
        "        \n",
        "    \n",
-       "        var popup_91e316e1238a1d4e10d8bce62c95a8d8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_966a208a6f0fe42775afbe50759e35c1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_76f567ab5be5500f857f561e520d9f6d = $(`&lt;div id=&quot;html_76f567ab5be5500f857f561e520d9f6d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Johnson Controls&lt;/b&gt; &lt;br&gt;https://www.johnsoncontrols.com/buildings/specialty-pages/product-security/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_91e316e1238a1d4e10d8bce62c95a8d8.setContent(html_76f567ab5be5500f857f561e520d9f6d);\n",
+       "                var html_0e660552c61f6be7a86f6bdc25e34196 = $(`&lt;div id=&quot;html_0e660552c61f6be7a86f6bdc25e34196&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Johnson Controls&lt;/b&gt; &lt;br&gt;https://www.johnsoncontrols.com/trust-center/cybersecurity/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_966a208a6f0fe42775afbe50759e35c1.setContent(html_0e660552c61f6be7a86f6bdc25e34196);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_123e369c1353fa04aca939f2749aeb7a.bindPopup(popup_91e316e1238a1d4e10d8bce62c95a8d8)\n",
+       "        marker_267ca190342325d80622efa7c5a46d83.bindPopup(popup_966a208a6f0fe42775afbe50759e35c1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8ab538404ca26991db3640aef1a66e5f = L.marker(\n",
+       "            var marker_3a7eedbd41d8ebb78979fcdf9ee71268 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7c681ffaf9b25fabb5c27a283d2ec216 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d7f5b97d020cf769a08b61e378023152 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8ab538404ca26991db3640aef1a66e5f.setIcon(icon_7c681ffaf9b25fabb5c27a283d2ec216);\n",
+       "            marker_3a7eedbd41d8ebb78979fcdf9ee71268.setIcon(icon_d7f5b97d020cf769a08b61e378023152);\n",
        "        \n",
        "    \n",
-       "        var popup_fd6855ab2f2aeae3b0dbf63045de2af6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_fa42569ad05c4588ef36c6febd0bb073 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ee047f3b9dc7567243d9d0b26705b912 = $(`&lt;div id=&quot;html_ee047f3b9dc7567243d9d0b26705b912&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Joomla! Project&lt;/b&gt; &lt;br&gt;https://developer.joomla.org/security-centre.html&lt;/div&gt;`)[0];\n",
-       "                popup_fd6855ab2f2aeae3b0dbf63045de2af6.setContent(html_ee047f3b9dc7567243d9d0b26705b912);\n",
+       "                var html_cd9b1cc3516a569159bbbaa2dc960919 = $(`&lt;div id=&quot;html_cd9b1cc3516a569159bbbaa2dc960919&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Joomla! Project&lt;/b&gt; &lt;br&gt;https://developer.joomla.org/security-centre.html&lt;/div&gt;`)[0];\n",
+       "                popup_fa42569ad05c4588ef36c6febd0bb073.setContent(html_cd9b1cc3516a569159bbbaa2dc960919);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8ab538404ca26991db3640aef1a66e5f.bindPopup(popup_fd6855ab2f2aeae3b0dbf63045de2af6)\n",
+       "        marker_3a7eedbd41d8ebb78979fcdf9ee71268.bindPopup(popup_fa42569ad05c4588ef36c6febd0bb073)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9234d6cf765755320d576150c2f6ec8f = L.marker(\n",
+       "            var marker_5a906bbbc282a1e1c6561494f5fc70d7 = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_68f9dda0c75048b7e9d6cdc972cf0b0d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_bccc899ffeeea99388d677d887010aa6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9234d6cf765755320d576150c2f6ec8f.setIcon(icon_68f9dda0c75048b7e9d6cdc972cf0b0d);\n",
+       "            marker_5a906bbbc282a1e1c6561494f5fc70d7.setIcon(icon_bccc899ffeeea99388d677d887010aa6);\n",
        "        \n",
        "    \n",
-       "        var popup_f56053ed1b9bd9205105155b32910358 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a97b5a43e11c4ff7b6cec37df8a697d0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c257b97d90af7bce567a685dae00bbc6 = $(`&lt;div id=&quot;html_c257b97d90af7bce567a685dae00bbc6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;JPCERT/CC&lt;/b&gt; &lt;br&gt;https://jvn.jp/&lt;/div&gt;`)[0];\n",
-       "                popup_f56053ed1b9bd9205105155b32910358.setContent(html_c257b97d90af7bce567a685dae00bbc6);\n",
+       "                var html_cb8053bc16b17b24b23a073e97e54c98 = $(`&lt;div id=&quot;html_cb8053bc16b17b24b23a073e97e54c98&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;JPCERT/CC&lt;/b&gt; &lt;br&gt;https://jvn.jp/&lt;/div&gt;`)[0];\n",
+       "                popup_a97b5a43e11c4ff7b6cec37df8a697d0.setContent(html_cb8053bc16b17b24b23a073e97e54c98);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9234d6cf765755320d576150c2f6ec8f.bindPopup(popup_f56053ed1b9bd9205105155b32910358)\n",
+       "        marker_5a906bbbc282a1e1c6561494f5fc70d7.bindPopup(popup_a97b5a43e11c4ff7b6cec37df8a697d0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d00a5ff9662ca9eb33b3b56ed2135faf = L.marker(\n",
+       "            var marker_649b58962b99181a6431f3d229e10221 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8a5de4ccfe0e2cc3c9c067cf1030aa91 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_392b97d353e7ed513057c3722b7ceb08 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d00a5ff9662ca9eb33b3b56ed2135faf.setIcon(icon_8a5de4ccfe0e2cc3c9c067cf1030aa91);\n",
+       "            marker_649b58962b99181a6431f3d229e10221.setIcon(icon_392b97d353e7ed513057c3722b7ceb08);\n",
        "        \n",
        "    \n",
-       "        var popup_7944a5a6b1ee7e3560694f0c7f63cd27 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a954df173094f5c2f5e7a9f6fdfacf13 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_996b44ca09b3069a3d12786ed137e3de = $(`&lt;div id=&quot;html_996b44ca09b3069a3d12786ed137e3de&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Juniper Networks, Inc.&lt;/b&gt; &lt;br&gt;https://kb.juniper.net/InfoCenter/index?page=content&amp;channel=SECURITY_ADVISORIES&lt;/div&gt;`)[0];\n",
-       "                popup_7944a5a6b1ee7e3560694f0c7f63cd27.setContent(html_996b44ca09b3069a3d12786ed137e3de);\n",
+       "                var html_ee41e2796ce3a896e0b31f86ca05cfda = $(`&lt;div id=&quot;html_ee41e2796ce3a896e0b31f86ca05cfda&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Juniper Networks, Inc.&lt;/b&gt; &lt;br&gt;https://kb.juniper.net/InfoCenter/index?page=content&amp;channel=SECURITY_ADVISORIES&lt;/div&gt;`)[0];\n",
+       "                popup_a954df173094f5c2f5e7a9f6fdfacf13.setContent(html_ee41e2796ce3a896e0b31f86ca05cfda);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d00a5ff9662ca9eb33b3b56ed2135faf.bindPopup(popup_7944a5a6b1ee7e3560694f0c7f63cd27)\n",
+       "        marker_649b58962b99181a6431f3d229e10221.bindPopup(popup_a954df173094f5c2f5e7a9f6fdfacf13)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2f8d86987f00845bf08a6224c21ef3f5 = L.marker(\n",
+       "            var marker_be2d966a5702dd6cb6b6e6499cde2693 = L.marker(\n",
        "                [64.6863136, 97.7453061],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cc7e22d53ece19542a2ced21db73802c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_781d496def335a6c52842338619896b6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2f8d86987f00845bf08a6224c21ef3f5.setIcon(icon_cc7e22d53ece19542a2ced21db73802c);\n",
+       "            marker_be2d966a5702dd6cb6b6e6499cde2693.setIcon(icon_781d496def335a6c52842338619896b6);\n",
        "        \n",
        "    \n",
-       "        var popup_e5b07e1fd6008f3374b616fa3b5dd9ad = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ebe968731c6ff5b24cde02acc9a82348 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_cf5f79fd073361e3253b2aa4764b8fc7 = $(`&lt;div id=&quot;html_cf5f79fd073361e3253b2aa4764b8fc7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Kaspersky&lt;/b&gt; &lt;br&gt;https://support.kaspersky.com/general/vulnerability.aspx?el=12430&lt;/div&gt;`)[0];\n",
-       "                popup_e5b07e1fd6008f3374b616fa3b5dd9ad.setContent(html_cf5f79fd073361e3253b2aa4764b8fc7);\n",
+       "                var html_badb272e719dbf1247817a43d054067a = $(`&lt;div id=&quot;html_badb272e719dbf1247817a43d054067a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Kaspersky&lt;/b&gt; &lt;br&gt;https://support.kaspersky.com/general/vulnerability.aspx?el=12430&lt;/div&gt;`)[0];\n",
+       "                popup_ebe968731c6ff5b24cde02acc9a82348.setContent(html_badb272e719dbf1247817a43d054067a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2f8d86987f00845bf08a6224c21ef3f5.bindPopup(popup_e5b07e1fd6008f3374b616fa3b5dd9ad)\n",
+       "        marker_be2d966a5702dd6cb6b6e6499cde2693.bindPopup(popup_ebe968731c6ff5b24cde02acc9a82348)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_78214fc92aa24073d3d66c068ca2bd02 = L.marker(\n",
+       "            var marker_21e8fe1350be5ea5ad1f4a6077723109 = L.marker(\n",
        "                [36.638392, 127.6961188],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d8ab339b498013bc9430620b338d36ee = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_95fa9fb68162705e1bb93c09472c2adb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_78214fc92aa24073d3d66c068ca2bd02.setIcon(icon_d8ab339b498013bc9430620b338d36ee);\n",
+       "            marker_21e8fe1350be5ea5ad1f4a6077723109.setIcon(icon_95fa9fb68162705e1bb93c09472c2adb);\n",
        "        \n",
        "    \n",
-       "        var popup_c080ac79202bb1e0e7dcfd44e63f9292 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_4efe678b011e28fe6ddae1450306cbb6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_beb882781eb6020923dcc9a3f4f4bfeb = $(`&lt;div id=&quot;html_beb882781eb6020923dcc9a3f4f4bfeb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KrCERT/CC&lt;/b&gt; &lt;br&gt;https://www.krcert.or.kr/kr/bbs/list.do?menuNo=205023&amp;amp&lt;/div&gt;`)[0];\n",
-       "                popup_c080ac79202bb1e0e7dcfd44e63f9292.setContent(html_beb882781eb6020923dcc9a3f4f4bfeb);\n",
+       "                var html_96c03ba46139170470fdaa87f8234078 = $(`&lt;div id=&quot;html_96c03ba46139170470fdaa87f8234078&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KrCERT/CC&lt;/b&gt; &lt;br&gt;https://www.krcert.or.kr/kr/bbs/list.do?menuNo=205023&amp;amp&lt;/div&gt;`)[0];\n",
+       "                popup_4efe678b011e28fe6ddae1450306cbb6.setContent(html_96c03ba46139170470fdaa87f8234078);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_78214fc92aa24073d3d66c068ca2bd02.bindPopup(popup_c080ac79202bb1e0e7dcfd44e63f9292)\n",
+       "        marker_21e8fe1350be5ea5ad1f4a6077723109.bindPopup(popup_4efe678b011e28fe6ddae1450306cbb6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d330f801cb9bd8cd59fd1a65d711af3b = L.marker(\n",
+       "            var marker_ae5847202bd9952b3cbbaa6fa2a913ab = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_990bc406cd73149fd80ee7445761690f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_81ab34bb8554488ee64e7c0ae7b16315 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d330f801cb9bd8cd59fd1a65d711af3b.setIcon(icon_990bc406cd73149fd80ee7445761690f);\n",
+       "            marker_ae5847202bd9952b3cbbaa6fa2a913ab.setIcon(icon_81ab34bb8554488ee64e7c0ae7b16315);\n",
        "        \n",
        "    \n",
-       "        var popup_38274c712d84aa282cfceec203c6711c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_76ebb29f6afdece826181b1ac9956374 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_dd1a0e2d4fa6794153c9bd55978bfb38 = $(`&lt;div id=&quot;html_dd1a0e2d4fa6794153c9bd55978bfb38&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Kubernetes&lt;/b&gt; &lt;br&gt;https://kubernetes.io/cve&lt;/div&gt;`)[0];\n",
-       "                popup_38274c712d84aa282cfceec203c6711c.setContent(html_dd1a0e2d4fa6794153c9bd55978bfb38);\n",
+       "                var html_24cf58e7eee59ab93020dd5afb649b5f = $(`&lt;div id=&quot;html_24cf58e7eee59ab93020dd5afb649b5f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Kubernetes&lt;/b&gt; &lt;br&gt;https://kubernetes.io/cve&lt;/div&gt;`)[0];\n",
+       "                popup_76ebb29f6afdece826181b1ac9956374.setContent(html_24cf58e7eee59ab93020dd5afb649b5f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d330f801cb9bd8cd59fd1a65d711af3b.bindPopup(popup_38274c712d84aa282cfceec203c6711c)\n",
+       "        marker_ae5847202bd9952b3cbbaa6fa2a913ab.bindPopup(popup_76ebb29f6afdece826181b1ac9956374)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c5658009f41ca98389a1c319c31782c7 = L.marker(\n",
+       "            var marker_e3ec235ad3cd11254dbe9891d97f1cf2 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bb605568537710d9b3aaedd408199aa2 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f9a444b1949855d96baddbe1d56dae2f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c5658009f41ca98389a1c319c31782c7.setIcon(icon_bb605568537710d9b3aaedd408199aa2);\n",
+       "            marker_e3ec235ad3cd11254dbe9891d97f1cf2.setIcon(icon_f9a444b1949855d96baddbe1d56dae2f);\n",
        "        \n",
        "    \n",
-       "        var popup_85bcd12bbca3d797e0a26eedb25dc500 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_154de697c71872b1f23651deaa57916f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b16e2daf499d81b9ce374ce39f555bc5 = $(`&lt;div id=&quot;html_b16e2daf499d81b9ce374ce39f555bc5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Larry Cashdollar&lt;/b&gt; &lt;br&gt;http://www.vapidlabs.com/&lt;/div&gt;`)[0];\n",
-       "                popup_85bcd12bbca3d797e0a26eedb25dc500.setContent(html_b16e2daf499d81b9ce374ce39f555bc5);\n",
+       "                var html_77d9474b8d7460d77aa5da50fd488dd8 = $(`&lt;div id=&quot;html_77d9474b8d7460d77aa5da50fd488dd8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Larry Cashdollar&lt;/b&gt; &lt;br&gt;http://www.vapidlabs.com/&lt;/div&gt;`)[0];\n",
+       "                popup_154de697c71872b1f23651deaa57916f.setContent(html_77d9474b8d7460d77aa5da50fd488dd8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c5658009f41ca98389a1c319c31782c7.bindPopup(popup_85bcd12bbca3d797e0a26eedb25dc500)\n",
+       "        marker_e3ec235ad3cd11254dbe9891d97f1cf2.bindPopup(popup_154de697c71872b1f23651deaa57916f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_faadd7c06a4a1f7fafd15181270c885a = L.marker(\n",
+       "            var marker_e3c3a490000d3d6f52831a1c578d87c9 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_abc9e46a1ef6e162c82f6b4df4a41fee = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7bdf82dd4dac5c3870d4316fa36d7ed4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_faadd7c06a4a1f7fafd15181270c885a.setIcon(icon_abc9e46a1ef6e162c82f6b4df4a41fee);\n",
+       "            marker_e3c3a490000d3d6f52831a1c578d87c9.setIcon(icon_7bdf82dd4dac5c3870d4316fa36d7ed4);\n",
        "        \n",
        "    \n",
-       "        var popup_ad2b9151b826fa84bb20d2430c7abe68 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_98c69535157023899b83090e8092ac16 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5aa0165c1cab2a955b9cce8a535685b1 = $(`&lt;div id=&quot;html_5aa0165c1cab2a955b9cce8a535685b1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Lenovo Group Ltd.&lt;/b&gt; &lt;br&gt;https://support.lenovo.com/us/en/product_security/home&lt;/div&gt;`)[0];\n",
-       "                popup_ad2b9151b826fa84bb20d2430c7abe68.setContent(html_5aa0165c1cab2a955b9cce8a535685b1);\n",
+       "                var html_93f5f07c86fd23134c497694b2c4feef = $(`&lt;div id=&quot;html_93f5f07c86fd23134c497694b2c4feef&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Lenovo Group Ltd.&lt;/b&gt; &lt;br&gt;https://support.lenovo.com/us/en/product_security/home&lt;/div&gt;`)[0];\n",
+       "                popup_98c69535157023899b83090e8092ac16.setContent(html_93f5f07c86fd23134c497694b2c4feef);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_faadd7c06a4a1f7fafd15181270c885a.bindPopup(popup_ad2b9151b826fa84bb20d2430c7abe68)\n",
+       "        marker_e3c3a490000d3d6f52831a1c578d87c9.bindPopup(popup_98c69535157023899b83090e8092ac16)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_58c7b3604640178f35de51def9f9b1f0 = L.marker(\n",
+       "            var marker_fab5126253f928272a781ca7473dd57b = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e1c9375b41d0eef3019f4bf0b33f8d4e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e3c02d46d5da245258505c2a6a9b39e5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_58c7b3604640178f35de51def9f9b1f0.setIcon(icon_e1c9375b41d0eef3019f4bf0b33f8d4e);\n",
+       "            marker_fab5126253f928272a781ca7473dd57b.setIcon(icon_e3c02d46d5da245258505c2a6a9b39e5);\n",
        "        \n",
        "    \n",
-       "        var popup_ab7609b0907cabce2bae98e829bb3446 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a822405844f7da447fb1237b36e260aa = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ae583356f174f128a012b98dc91d50fb = $(`&lt;div id=&quot;html_ae583356f174f128a012b98dc91d50fb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;LY Corporation&lt;/b&gt; &lt;br&gt;https://line.github.io/security-advisory-blog/advisory&lt;/div&gt;`)[0];\n",
-       "                popup_ab7609b0907cabce2bae98e829bb3446.setContent(html_ae583356f174f128a012b98dc91d50fb);\n",
+       "                var html_e4e75257c92f2338e8eb223992b62766 = $(`&lt;div id=&quot;html_e4e75257c92f2338e8eb223992b62766&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;LY Corporation&lt;/b&gt; &lt;br&gt;https://line.github.io/security-advisory-blog/advisory&lt;/div&gt;`)[0];\n",
+       "                popup_a822405844f7da447fb1237b36e260aa.setContent(html_e4e75257c92f2338e8eb223992b62766);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_58c7b3604640178f35de51def9f9b1f0.bindPopup(popup_ab7609b0907cabce2bae98e829bb3446)\n",
+       "        marker_fab5126253f928272a781ca7473dd57b.bindPopup(popup_a822405844f7da447fb1237b36e260aa)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ef53b4aeb4e7b338f55b70604153758b = L.marker(\n",
+       "            var marker_cad273d2c3de9439ff302220657847dd = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4e8715d1afe6a249a3e9e4f55ac870b1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f08adc9bf3771d5f12cd6e17c425d573 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ef53b4aeb4e7b338f55b70604153758b.setIcon(icon_4e8715d1afe6a249a3e9e4f55ac870b1);\n",
+       "            marker_cad273d2c3de9439ff302220657847dd.setIcon(icon_f08adc9bf3771d5f12cd6e17c425d573);\n",
        "        \n",
        "    \n",
-       "        var popup_34bf6c891bd53dc792804762ae940985 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2ed8131d10565418679b3288d77d8322 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8d1e860f5a389176d4154df3acfda33f = $(`&lt;div id=&quot;html_8d1e860f5a389176d4154df3acfda33f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Logitech&lt;/b&gt; &lt;br&gt;https://hackerone.com/logitech/hacktivity&lt;/div&gt;`)[0];\n",
-       "                popup_34bf6c891bd53dc792804762ae940985.setContent(html_8d1e860f5a389176d4154df3acfda33f);\n",
+       "                var html_113fd77f93eb29661c6986f27c64d2f9 = $(`&lt;div id=&quot;html_113fd77f93eb29661c6986f27c64d2f9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Logitech&lt;/b&gt; &lt;br&gt;https://hackerone.com/logitech/hacktivity&lt;/div&gt;`)[0];\n",
+       "                popup_2ed8131d10565418679b3288d77d8322.setContent(html_113fd77f93eb29661c6986f27c64d2f9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ef53b4aeb4e7b338f55b70604153758b.bindPopup(popup_34bf6c891bd53dc792804762ae940985)\n",
+       "        marker_cad273d2c3de9439ff302220657847dd.bindPopup(popup_2ed8131d10565418679b3288d77d8322)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_217d756d2a28f0a8409c585d0106b86c = L.marker(\n",
+       "            var marker_729a00c7fe072fc73d9a9712cb95e17b = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9323d8adb8f8fbca4b487bd14ccf641b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_813ec8451450a1797114e1f74cef797c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_217d756d2a28f0a8409c585d0106b86c.setIcon(icon_9323d8adb8f8fbca4b487bd14ccf641b);\n",
+       "            marker_729a00c7fe072fc73d9a9712cb95e17b.setIcon(icon_813ec8451450a1797114e1f74cef797c);\n",
        "        \n",
        "    \n",
-       "        var popup_d99c0907c04629922e8a37f3db2dd13b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_945dbacb055fb31330dd8849f33df34d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ab09ca489d1085b2af87e008ab5eb467 = $(`&lt;div id=&quot;html_ab09ca489d1085b2af87e008ab5eb467&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mattermost, Inc.&lt;/b&gt; &lt;br&gt;https://mattermost.com/security-updates/&lt;/div&gt;`)[0];\n",
-       "                popup_d99c0907c04629922e8a37f3db2dd13b.setContent(html_ab09ca489d1085b2af87e008ab5eb467);\n",
+       "                var html_9148c6d9455c6976c879f71863e1d6fe = $(`&lt;div id=&quot;html_9148c6d9455c6976c879f71863e1d6fe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mattermost, Inc.&lt;/b&gt; &lt;br&gt;https://mattermost.com/security-updates/&lt;/div&gt;`)[0];\n",
+       "                popup_945dbacb055fb31330dd8849f33df34d.setContent(html_9148c6d9455c6976c879f71863e1d6fe);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_217d756d2a28f0a8409c585d0106b86c.bindPopup(popup_d99c0907c04629922e8a37f3db2dd13b)\n",
+       "        marker_729a00c7fe072fc73d9a9712cb95e17b.bindPopup(popup_945dbacb055fb31330dd8849f33df34d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4e96cf498cad3eb8ebb1f6f931fd5a5f = L.marker(\n",
+       "            var marker_1d155183b154b9157f6b29489d040d0f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d6b82793c3c3a01839293cf1ff2b7308 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_afcbdcd3e515e456b5d9705e8799504f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4e96cf498cad3eb8ebb1f6f931fd5a5f.setIcon(icon_d6b82793c3c3a01839293cf1ff2b7308);\n",
+       "            marker_1d155183b154b9157f6b29489d040d0f.setIcon(icon_afcbdcd3e515e456b5d9705e8799504f);\n",
        "        \n",
        "    \n",
-       "        var popup_86d71f448e7f8be5384a4a4ffe48d938 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8b2b0d67f8204c2f4591b783179733ef = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fd55792569256c0ce9d5e620614b25ea = $(`&lt;div id=&quot;html_fd55792569256c0ce9d5e620614b25ea&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mautic&lt;/b&gt; &lt;br&gt;https://github.com/mautic/mautic/security/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_86d71f448e7f8be5384a4a4ffe48d938.setContent(html_fd55792569256c0ce9d5e620614b25ea);\n",
+       "                var html_64dc1f6b6534777aac44d54c338e4efb = $(`&lt;div id=&quot;html_64dc1f6b6534777aac44d54c338e4efb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mautic&lt;/b&gt; &lt;br&gt;https://github.com/mautic/mautic/security/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_8b2b0d67f8204c2f4591b783179733ef.setContent(html_64dc1f6b6534777aac44d54c338e4efb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4e96cf498cad3eb8ebb1f6f931fd5a5f.bindPopup(popup_86d71f448e7f8be5384a4a4ffe48d938)\n",
+       "        marker_1d155183b154b9157f6b29489d040d0f.bindPopup(popup_8b2b0d67f8204c2f4591b783179733ef)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_94604f8c73fbbf7fb9ae8b89a47a8e4d = L.marker(\n",
+       "            var marker_d40b973f091a0550ae139081e029c529 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_098dcf1e36538fc82a901b5503e2ec56 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_93b0f162c84656ec4147cea68ab67b37 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_94604f8c73fbbf7fb9ae8b89a47a8e4d.setIcon(icon_098dcf1e36538fc82a901b5503e2ec56);\n",
+       "            marker_d40b973f091a0550ae139081e029c529.setIcon(icon_93b0f162c84656ec4147cea68ab67b37);\n",
        "        \n",
        "    \n",
-       "        var popup_656c1c362a302587330b7e7dccec5f2b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9a2399ff9175e657f4a6dc80c1f2da58 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_257daf8a65a93c7daf5778db25f9b278 = $(`&lt;div id=&quot;html_257daf8a65a93c7daf5778db25f9b278&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Trellix&lt;/b&gt; &lt;br&gt;https://supportm.trellix.com/webcenter/portal/supportportal/pages_knowledgecenter&lt;/div&gt;`)[0];\n",
-       "                popup_656c1c362a302587330b7e7dccec5f2b.setContent(html_257daf8a65a93c7daf5778db25f9b278);\n",
+       "                var html_67112165d529e6abc37f1d4bc5915361 = $(`&lt;div id=&quot;html_67112165d529e6abc37f1d4bc5915361&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Trellix&lt;/b&gt; &lt;br&gt;https://supportm.trellix.com/webcenter/portal/supportportal/pages_knowledgecenter&lt;/div&gt;`)[0];\n",
+       "                popup_9a2399ff9175e657f4a6dc80c1f2da58.setContent(html_67112165d529e6abc37f1d4bc5915361);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_94604f8c73fbbf7fb9ae8b89a47a8e4d.bindPopup(popup_656c1c362a302587330b7e7dccec5f2b)\n",
+       "        marker_d40b973f091a0550ae139081e029c529.bindPopup(popup_9a2399ff9175e657f4a6dc80c1f2da58)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3e71704d63796ce60cafc1059c6c11ff = L.marker(\n",
+       "            var marker_477bd654afbb3a409c5eac2d623a5d8a = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8b9e8cec830ecd16ab8a95e94f828dfe = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_bb134f72fa4fc1ef076d40d0218d5b8b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3e71704d63796ce60cafc1059c6c11ff.setIcon(icon_8b9e8cec830ecd16ab8a95e94f828dfe);\n",
+       "            marker_477bd654afbb3a409c5eac2d623a5d8a.setIcon(icon_bb134f72fa4fc1ef076d40d0218d5b8b);\n",
        "        \n",
        "    \n",
-       "        var popup_c3e9ec664ccabc3e9ab7f3aa907b61e5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_45ca403f640532c9d957dcc7f74d3f9e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ed2370507a61cf3d7e8193b872fc52f6 = $(`&lt;div id=&quot;html_ed2370507a61cf3d7e8193b872fc52f6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenText (formerly Micro Focus)&lt;/b&gt; &lt;br&gt;https://knowledge.opentext.com/knowledge/llisapi.dll/open/alerts&lt;/div&gt;`)[0];\n",
-       "                popup_c3e9ec664ccabc3e9ab7f3aa907b61e5.setContent(html_ed2370507a61cf3d7e8193b872fc52f6);\n",
+       "                var html_b8277bb5ed45e478fe225311f10ea0df = $(`&lt;div id=&quot;html_b8277bb5ed45e478fe225311f10ea0df&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenText (formerly Micro Focus)&lt;/b&gt; &lt;br&gt;https://knowledge.opentext.com/knowledge/llisapi.dll/open/alerts&lt;/div&gt;`)[0];\n",
+       "                popup_45ca403f640532c9d957dcc7f74d3f9e.setContent(html_b8277bb5ed45e478fe225311f10ea0df);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3e71704d63796ce60cafc1059c6c11ff.bindPopup(popup_c3e9ec664ccabc3e9ab7f3aa907b61e5)\n",
+       "        marker_477bd654afbb3a409c5eac2d623a5d8a.bindPopup(popup_45ca403f640532c9d957dcc7f74d3f9e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_48169318855512934c1f0c44a11f9e01 = L.marker(\n",
+       "            var marker_e7b47f2983c277ed67b5aef58b752eaf = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8282cbdf0a32527a1b15d7bd6fe4eb0d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cea8eb30faa5fba1fe4c26710e1c061f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_48169318855512934c1f0c44a11f9e01.setIcon(icon_8282cbdf0a32527a1b15d7bd6fe4eb0d);\n",
+       "            marker_e7b47f2983c277ed67b5aef58b752eaf.setIcon(icon_cea8eb30faa5fba1fe4c26710e1c061f);\n",
        "        \n",
        "    \n",
-       "        var popup_ce83aa54aa6203391c2bb979ea884f06 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d72d157aa68d80cd88990b9a04e68f4f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a1c6cb96be1263099196b87735373ff3 = $(`&lt;div id=&quot;html_a1c6cb96be1263099196b87735373ff3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Microsoft Corporation&lt;/b&gt; &lt;br&gt;https://www.microsoft.com/en-us/msrc/technical-security-notifications&lt;/div&gt;`)[0];\n",
-       "                popup_ce83aa54aa6203391c2bb979ea884f06.setContent(html_a1c6cb96be1263099196b87735373ff3);\n",
+       "                var html_ae8d5a95fb076e496ff4bc2f9487124b = $(`&lt;div id=&quot;html_ae8d5a95fb076e496ff4bc2f9487124b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Microsoft Corporation&lt;/b&gt; &lt;br&gt;https://www.microsoft.com/en-us/msrc/technical-security-notifications&lt;/div&gt;`)[0];\n",
+       "                popup_d72d157aa68d80cd88990b9a04e68f4f.setContent(html_ae8d5a95fb076e496ff4bc2f9487124b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_48169318855512934c1f0c44a11f9e01.bindPopup(popup_ce83aa54aa6203391c2bb979ea884f06)\n",
+       "        marker_e7b47f2983c277ed67b5aef58b752eaf.bindPopup(popup_d72d157aa68d80cd88990b9a04e68f4f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b182426de72e4e6a487954fd2df579b4 = L.marker(\n",
+       "            var marker_782fe98f925e39b8f1fb7608214734ef = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9ec0202ddd8da7f289a8767bb7278750 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_512d9ee6a67c43b5d07b18245f7830b3 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b182426de72e4e6a487954fd2df579b4.setIcon(icon_9ec0202ddd8da7f289a8767bb7278750);\n",
+       "            marker_782fe98f925e39b8f1fb7608214734ef.setIcon(icon_512d9ee6a67c43b5d07b18245f7830b3);\n",
        "        \n",
        "    \n",
-       "        var popup_22bb1ae12edd44958aef715dd5bd719f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a29d853e61ff825bd515de43cb03dff6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4076418e340bc4bc3d67e645daf8cf6d = $(`&lt;div id=&quot;html_4076418e340bc4bc3d67e645daf8cf6d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;MITRE Corporation&lt;/b&gt; &lt;br&gt;nan&lt;/div&gt;`)[0];\n",
-       "                popup_22bb1ae12edd44958aef715dd5bd719f.setContent(html_4076418e340bc4bc3d67e645daf8cf6d);\n",
+       "                var html_9e3f34759ca62416718e06231f396c23 = $(`&lt;div id=&quot;html_9e3f34759ca62416718e06231f396c23&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;MITRE Corporation&lt;/b&gt; &lt;br&gt;nan&lt;/div&gt;`)[0];\n",
+       "                popup_a29d853e61ff825bd515de43cb03dff6.setContent(html_9e3f34759ca62416718e06231f396c23);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b182426de72e4e6a487954fd2df579b4.bindPopup(popup_22bb1ae12edd44958aef715dd5bd719f)\n",
+       "        marker_782fe98f925e39b8f1fb7608214734ef.bindPopup(popup_a29d853e61ff825bd515de43cb03dff6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b959b85a6984ed35633ec9ef5ce69aa5 = L.marker(\n",
+       "            var marker_1a8858c370415880c43ab35dd6766a40 = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_31f3921a666773f3616ee6e3c4e0c2d0 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6e90e13f377e7cd4236d089aac4be8be = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b959b85a6984ed35633ec9ef5ce69aa5.setIcon(icon_31f3921a666773f3616ee6e3c4e0c2d0);\n",
+       "            marker_1a8858c370415880c43ab35dd6766a40.setIcon(icon_6e90e13f377e7cd4236d089aac4be8be);\n",
        "        \n",
        "    \n",
-       "        var popup_a6940f30d5b9a67707be61c050f26233 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_58e11b922ffa87fd08eb13b7c9e53afb = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c045fa8f3d217bb65477d3a6245eceec = $(`&lt;div id=&quot;html_c045fa8f3d217bb65477d3a6245eceec&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mitsubishi Electric Corporation&lt;/b&gt; &lt;br&gt;https://www.mitsubishielectric.com/en/psirt/vulnerability/index.html&lt;/div&gt;`)[0];\n",
-       "                popup_a6940f30d5b9a67707be61c050f26233.setContent(html_c045fa8f3d217bb65477d3a6245eceec);\n",
+       "                var html_4e63e993ed7fc52311facf777185da32 = $(`&lt;div id=&quot;html_4e63e993ed7fc52311facf777185da32&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mitsubishi Electric Corporation&lt;/b&gt; &lt;br&gt;https://www.mitsubishielectric.com/en/psirt/vulnerability/index.html&lt;/div&gt;`)[0];\n",
+       "                popup_58e11b922ffa87fd08eb13b7c9e53afb.setContent(html_4e63e993ed7fc52311facf777185da32);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b959b85a6984ed35633ec9ef5ce69aa5.bindPopup(popup_a6940f30d5b9a67707be61c050f26233)\n",
+       "        marker_1a8858c370415880c43ab35dd6766a40.bindPopup(popup_58e11b922ffa87fd08eb13b7c9e53afb)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9f5c61b0d24a8e4f3f675edaef894351 = L.marker(\n",
+       "            var marker_aba73b20c530554146405a4f2497d62e = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9a72f65480d70ddaeef42624b9af651c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cb48aa5be213a4c8c8a077dd3c39c725 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9f5c61b0d24a8e4f3f675edaef894351.setIcon(icon_9a72f65480d70ddaeef42624b9af651c);\n",
+       "            marker_aba73b20c530554146405a4f2497d62e.setIcon(icon_cb48aa5be213a4c8c8a077dd3c39c725);\n",
        "        \n",
        "    \n",
-       "        var popup_7d39903409d2599e06ac0db626a491bd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5378534189cd792dde251ce8ad8bca2b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_80aec96d34ea3789d94ee2baa48b8ae9 = $(`&lt;div id=&quot;html_80aec96d34ea3789d94ee2baa48b8ae9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;MongoDB, Inc.&lt;/b&gt; &lt;br&gt;https://www.mongodb.com/security&lt;/div&gt;`)[0];\n",
-       "                popup_7d39903409d2599e06ac0db626a491bd.setContent(html_80aec96d34ea3789d94ee2baa48b8ae9);\n",
+       "                var html_e73bc79ef5795913ea4f0bf8965e6435 = $(`&lt;div id=&quot;html_e73bc79ef5795913ea4f0bf8965e6435&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;MongoDB, Inc.&lt;/b&gt; &lt;br&gt;https://www.mongodb.com/security&lt;/div&gt;`)[0];\n",
+       "                popup_5378534189cd792dde251ce8ad8bca2b.setContent(html_e73bc79ef5795913ea4f0bf8965e6435);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9f5c61b0d24a8e4f3f675edaef894351.bindPopup(popup_7d39903409d2599e06ac0db626a491bd)\n",
+       "        marker_aba73b20c530554146405a4f2497d62e.bindPopup(popup_5378534189cd792dde251ce8ad8bca2b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d305a6dbc5a9ba10eb04916fc644a81b = L.marker(\n",
+       "            var marker_c66bfcf1d00718a8e5ece74fc293a967 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cb72db06e9cfcf0c0e74303eac02049f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5aa89d4d606dd3c1a8c9458d1ef42d64 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d305a6dbc5a9ba10eb04916fc644a81b.setIcon(icon_cb72db06e9cfcf0c0e74303eac02049f);\n",
+       "            marker_c66bfcf1d00718a8e5ece74fc293a967.setIcon(icon_5aa89d4d606dd3c1a8c9458d1ef42d64);\n",
        "        \n",
        "    \n",
-       "        var popup_07ceff87368feb5ab58c1d0387da797d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8a050fb128a3a9c4e47bb7bb23f91f5a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_cee9698560f57c088109ca7841a8db6d = $(`&lt;div id=&quot;html_cee9698560f57c088109ca7841a8db6d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mozilla Corporation&lt;/b&gt; &lt;br&gt;https://www.mozilla.org/en-US/security/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_07ceff87368feb5ab58c1d0387da797d.setContent(html_cee9698560f57c088109ca7841a8db6d);\n",
+       "                var html_2af0ab94b6f3d9a373a46a6bdbdde765 = $(`&lt;div id=&quot;html_2af0ab94b6f3d9a373a46a6bdbdde765&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mozilla Corporation&lt;/b&gt; &lt;br&gt;https://www.mozilla.org/en-US/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_8a050fb128a3a9c4e47bb7bb23f91f5a.setContent(html_2af0ab94b6f3d9a373a46a6bdbdde765);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d305a6dbc5a9ba10eb04916fc644a81b.bindPopup(popup_07ceff87368feb5ab58c1d0387da797d)\n",
+       "        marker_c66bfcf1d00718a8e5ece74fc293a967.bindPopup(popup_8a050fb128a3a9c4e47bb7bb23f91f5a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_84492fe5d56bc1bd0c7077c927d2c875 = L.marker(\n",
+       "            var marker_4d0bd8a53092fa7f3380d5d836472611 = L.marker(\n",
        "                [36.638392, 127.6961188],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1276178c72b18f19fbf3f32b12955d6d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_811c1139179f5064d5af240c0a32cab2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_84492fe5d56bc1bd0c7077c927d2c875.setIcon(icon_1276178c72b18f19fbf3f32b12955d6d);\n",
+       "            marker_4d0bd8a53092fa7f3380d5d836472611.setIcon(icon_811c1139179f5064d5af240c0a32cab2);\n",
        "        \n",
        "    \n",
-       "        var popup_3259c7d7aa6ab8deea8b2efdc82192cc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9b2e8c6c47a4367f56fb2e259d1c3283 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3dbaa19cac2869deab3b8747db967c7e = $(`&lt;div id=&quot;html_3dbaa19cac2869deab3b8747db967c7e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Naver Corporation&lt;/b&gt; &lt;br&gt;https://cve.naver.com/&lt;/div&gt;`)[0];\n",
-       "                popup_3259c7d7aa6ab8deea8b2efdc82192cc.setContent(html_3dbaa19cac2869deab3b8747db967c7e);\n",
+       "                var html_d8bdfb4d5725b008938e8b98f3ed5fe1 = $(`&lt;div id=&quot;html_d8bdfb4d5725b008938e8b98f3ed5fe1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Naver Corporation&lt;/b&gt; &lt;br&gt;https://cve.naver.com/&lt;/div&gt;`)[0];\n",
+       "                popup_9b2e8c6c47a4367f56fb2e259d1c3283.setContent(html_d8bdfb4d5725b008938e8b98f3ed5fe1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_84492fe5d56bc1bd0c7077c927d2c875.bindPopup(popup_3259c7d7aa6ab8deea8b2efdc82192cc)\n",
+       "        marker_4d0bd8a53092fa7f3380d5d836472611.bindPopup(popup_9b2e8c6c47a4367f56fb2e259d1c3283)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b957c1ef5118a80e576456210a414bcd = L.marker(\n",
+       "            var marker_24a273188b58ff7cbef78d21bbf82d6e = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f34a3fa8818940502b0774c0b35bf580 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b78a6dc193addee78c4f79e46affbfab = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b957c1ef5118a80e576456210a414bcd.setIcon(icon_f34a3fa8818940502b0774c0b35bf580);\n",
+       "            marker_24a273188b58ff7cbef78d21bbf82d6e.setIcon(icon_b78a6dc193addee78c4f79e46affbfab);\n",
        "        \n",
        "    \n",
-       "        var popup_f03b51246da305e7934f760a8d44ec8f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_76840148e065da298c8cd8b3354317de = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e8dee346f37e3e0b649793be02f9950d = $(`&lt;div id=&quot;html_e8dee346f37e3e0b649793be02f9950d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NEC Corporation&lt;/b&gt; &lt;br&gt;https://jpn.nec.com/security-info/index.html&lt;/div&gt;`)[0];\n",
-       "                popup_f03b51246da305e7934f760a8d44ec8f.setContent(html_e8dee346f37e3e0b649793be02f9950d);\n",
+       "                var html_5d626166fc9e6b431ed92a6058958450 = $(`&lt;div id=&quot;html_5d626166fc9e6b431ed92a6058958450&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NEC Corporation&lt;/b&gt; &lt;br&gt;https://jpn.nec.com/security-info/index.html&lt;/div&gt;`)[0];\n",
+       "                popup_76840148e065da298c8cd8b3354317de.setContent(html_5d626166fc9e6b431ed92a6058958450);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b957c1ef5118a80e576456210a414bcd.bindPopup(popup_f03b51246da305e7934f760a8d44ec8f)\n",
+       "        marker_24a273188b58ff7cbef78d21bbf82d6e.bindPopup(popup_76840148e065da298c8cd8b3354317de)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_906bd0bf83801ffb15c261881cb5527b = L.marker(\n",
+       "            var marker_33983a2342ebed65300e7778ed74a38c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d50fc6bd534d9f5b7e1a36cb5fc9c2e8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_fd7720b40ceec72623e2f256b185d64e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_906bd0bf83801ffb15c261881cb5527b.setIcon(icon_d50fc6bd534d9f5b7e1a36cb5fc9c2e8);\n",
+       "            marker_33983a2342ebed65300e7778ed74a38c.setIcon(icon_fd7720b40ceec72623e2f256b185d64e);\n",
        "        \n",
        "    \n",
-       "        var popup_1570c859d1cd6af2d8cdbe0477e05d2c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_94b761606805e992753c601d85c2e9ad = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2c553a80c257482eda2a4effbd6b9ca0 = $(`&lt;div id=&quot;html_2c553a80c257482eda2a4effbd6b9ca0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NetApp, Inc.&lt;/b&gt; &lt;br&gt;https://security.netapp.com/advisory/&lt;/div&gt;`)[0];\n",
-       "                popup_1570c859d1cd6af2d8cdbe0477e05d2c.setContent(html_2c553a80c257482eda2a4effbd6b9ca0);\n",
+       "                var html_fd31d479e633ffb0bc05b9778adeb6cb = $(`&lt;div id=&quot;html_fd31d479e633ffb0bc05b9778adeb6cb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NetApp, Inc.&lt;/b&gt; &lt;br&gt;https://security.netapp.com/advisory/&lt;/div&gt;`)[0];\n",
+       "                popup_94b761606805e992753c601d85c2e9ad.setContent(html_fd31d479e633ffb0bc05b9778adeb6cb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_906bd0bf83801ffb15c261881cb5527b.bindPopup(popup_1570c859d1cd6af2d8cdbe0477e05d2c)\n",
+       "        marker_33983a2342ebed65300e7778ed74a38c.bindPopup(popup_94b761606805e992753c601d85c2e9ad)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d6d93cbab6bd7f8c5318211f5456c8cf = L.marker(\n",
+       "            var marker_6fe4135a7b72394ce2919cba1a4e3cf7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_68b4496acf012308d5c64f1bb5334d78 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d8bc9ec2a4b8b97fc684e9a5b70f6f23 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d6d93cbab6bd7f8c5318211f5456c8cf.setIcon(icon_68b4496acf012308d5c64f1bb5334d78);\n",
+       "            marker_6fe4135a7b72394ce2919cba1a4e3cf7.setIcon(icon_d8bc9ec2a4b8b97fc684e9a5b70f6f23);\n",
        "        \n",
        "    \n",
-       "        var popup_2992a34fcb0a2a203fc52a3106e4787e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_043aa81e9770f8fc515b73c102d4a266 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0731783071383da20ebf95b19f7c44c5 = $(`&lt;div id=&quot;html_0731783071383da20ebf95b19f7c44c5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Netflix, Inc.&lt;/b&gt; &lt;br&gt;https://github.com/Netflix/security-bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_2992a34fcb0a2a203fc52a3106e4787e.setContent(html_0731783071383da20ebf95b19f7c44c5);\n",
+       "                var html_e8ac66162e211a9fdc869c32fd17117b = $(`&lt;div id=&quot;html_e8ac66162e211a9fdc869c32fd17117b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Netflix, Inc.&lt;/b&gt; &lt;br&gt;https://github.com/Netflix/security-bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_043aa81e9770f8fc515b73c102d4a266.setContent(html_e8ac66162e211a9fdc869c32fd17117b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d6d93cbab6bd7f8c5318211f5456c8cf.bindPopup(popup_2992a34fcb0a2a203fc52a3106e4787e)\n",
+       "        marker_6fe4135a7b72394ce2919cba1a4e3cf7.bindPopup(popup_043aa81e9770f8fc515b73c102d4a266)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_96deb2e08206ba0120526b2af29a8885 = L.marker(\n",
+       "            var marker_5b48587e4024dd429780afb9d569abc5 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_069628d567bdb5e0fc706681aa9ecfcc = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c95e6e9934b5fd6f58e1b6a131706f3c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_96deb2e08206ba0120526b2af29a8885.setIcon(icon_069628d567bdb5e0fc706681aa9ecfcc);\n",
+       "            marker_5b48587e4024dd429780afb9d569abc5.setIcon(icon_c95e6e9934b5fd6f58e1b6a131706f3c);\n",
        "        \n",
        "    \n",
-       "        var popup_789e4e9872507787ea42c353fc1757c2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8ff21ea6e2286035088cc25f84122249 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_99a5b45fba8ffc9434e1b11a37b7164d = $(`&lt;div id=&quot;html_99a5b45fba8ffc9434e1b11a37b7164d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Absolute Software&lt;/b&gt; &lt;br&gt;https://www.absolute.com/platform/security-information/vulnerability-archive/&lt;/div&gt;`)[0];\n",
-       "                popup_789e4e9872507787ea42c353fc1757c2.setContent(html_99a5b45fba8ffc9434e1b11a37b7164d);\n",
+       "                var html_17ae9981b7229d71db9636a1c980be84 = $(`&lt;div id=&quot;html_17ae9981b7229d71db9636a1c980be84&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Absolute Software&lt;/b&gt; &lt;br&gt;https://www.absolute.com/platform/security-information/vulnerability-archive/&lt;/div&gt;`)[0];\n",
+       "                popup_8ff21ea6e2286035088cc25f84122249.setContent(html_17ae9981b7229d71db9636a1c980be84);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_96deb2e08206ba0120526b2af29a8885.bindPopup(popup_789e4e9872507787ea42c353fc1757c2)\n",
+       "        marker_5b48587e4024dd429780afb9d569abc5.bindPopup(popup_8ff21ea6e2286035088cc25f84122249)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9c878576c924ad745ef0f10620d6b5a5 = L.marker(\n",
+       "            var marker_ef027e0f88ed85795c843d349d815652 = L.marker(\n",
        "                [52.2434979, 5.6343227],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9b5156480f7edf922e844daf7cbebcd7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e78812bdad352301e9cf21c5d55070ee = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9c878576c924ad745ef0f10620d6b5a5.setIcon(icon_9b5156480f7edf922e844daf7cbebcd7);\n",
+       "            marker_ef027e0f88ed85795c843d349d815652.setIcon(icon_e78812bdad352301e9cf21c5d55070ee);\n",
        "        \n",
        "    \n",
-       "        var popup_19f4d3b46af29e8c15a577c7ddb73edd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e3b81fe203a4977e740065d4ef10252c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f129b2f1692d96c460b7e9eb76ecd958 = $(`&lt;div id=&quot;html_f129b2f1692d96c460b7e9eb76ecd958&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NLnet Labs&lt;/b&gt; &lt;br&gt;https://nlnetlabs.nl/projects/rpki/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_19f4d3b46af29e8c15a577c7ddb73edd.setContent(html_f129b2f1692d96c460b7e9eb76ecd958);\n",
+       "                var html_e08cfd896dc3b826824ea8fd2cd36618 = $(`&lt;div id=&quot;html_e08cfd896dc3b826824ea8fd2cd36618&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NLnet Labs&lt;/b&gt; &lt;br&gt;https://nlnetlabs.nl/projects/rpki/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_e3b81fe203a4977e740065d4ef10252c.setContent(html_e08cfd896dc3b826824ea8fd2cd36618);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9c878576c924ad745ef0f10620d6b5a5.bindPopup(popup_19f4d3b46af29e8c15a577c7ddb73edd)\n",
+       "        marker_ef027e0f88ed85795c843d349d815652.bindPopup(popup_e3b81fe203a4977e740065d4ef10252c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_83ac59f8b0cae1c3de60d44df87e3ce2 = L.marker(\n",
+       "            var marker_70f6e0a4509930c87f9e07983d00e4a8 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_11b1d848f89419ad646e153d51fbf234 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_42adefe38c62d72c97b51f52a81d81a7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_83ac59f8b0cae1c3de60d44df87e3ce2.setIcon(icon_11b1d848f89419ad646e153d51fbf234);\n",
+       "            marker_70f6e0a4509930c87f9e07983d00e4a8.setIcon(icon_42adefe38c62d72c97b51f52a81d81a7);\n",
        "        \n",
        "    \n",
-       "        var popup_2e1cbfb974755e53bf06f40de367815b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_63d9350caa512e25f679c9f325479f94 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d98cca04ddabb1b911422cfb10c74410 = $(`&lt;div id=&quot;html_d98cca04ddabb1b911422cfb10c74410&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Node.js&lt;/b&gt; &lt;br&gt;https://github.com/nodejs/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_2e1cbfb974755e53bf06f40de367815b.setContent(html_d98cca04ddabb1b911422cfb10c74410);\n",
+       "                var html_ed386e16a562e67a18780628400eda11 = $(`&lt;div id=&quot;html_ed386e16a562e67a18780628400eda11&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Node.js&lt;/b&gt; &lt;br&gt;https://github.com/nodejs/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_63d9350caa512e25f679c9f325479f94.setContent(html_ed386e16a562e67a18780628400eda11);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_83ac59f8b0cae1c3de60d44df87e3ce2.bindPopup(popup_2e1cbfb974755e53bf06f40de367815b)\n",
+       "        marker_70f6e0a4509930c87f9e07983d00e4a8.bindPopup(popup_63d9350caa512e25f679c9f325479f94)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8ef869eb7cfcd06ab828924eb680d508 = L.marker(\n",
+       "            var marker_8ab2d67184ee65ebc6e128c6dd6d01ec = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4b519dec768ce732118a54e5241942a7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_805fe9fa726109f7b1b04f14bc6b154e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8ef869eb7cfcd06ab828924eb680d508.setIcon(icon_4b519dec768ce732118a54e5241942a7);\n",
+       "            marker_8ab2d67184ee65ebc6e128c6dd6d01ec.setIcon(icon_805fe9fa726109f7b1b04f14bc6b154e);\n",
        "        \n",
        "    \n",
-       "        var popup_8198db2af6488e43739acecd573e63ed = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_214adc1dfa49d8f9f3726de2c181c572 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_15c568c085784dfbfd05ae19842f82f4 = $(`&lt;div id=&quot;html_15c568c085784dfbfd05ae19842f82f4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NortonLifeLock Inc.&lt;/b&gt; &lt;br&gt;https://us.norton.com/support/tools/security-advisories.html&lt;/div&gt;`)[0];\n",
-       "                popup_8198db2af6488e43739acecd573e63ed.setContent(html_15c568c085784dfbfd05ae19842f82f4);\n",
+       "                var html_5da0332048d7215744253621b7825f50 = $(`&lt;div id=&quot;html_5da0332048d7215744253621b7825f50&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NortonLifeLock Inc.&lt;/b&gt; &lt;br&gt;https://us.norton.com/support/tools/security-advisories.html&lt;/div&gt;`)[0];\n",
+       "                popup_214adc1dfa49d8f9f3726de2c181c572.setContent(html_5da0332048d7215744253621b7825f50);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8ef869eb7cfcd06ab828924eb680d508.bindPopup(popup_8198db2af6488e43739acecd573e63ed)\n",
+       "        marker_8ab2d67184ee65ebc6e128c6dd6d01ec.bindPopup(popup_214adc1dfa49d8f9f3726de2c181c572)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ad20d38ae1bff5b96d82ce38a2f13538 = L.marker(\n",
+       "            var marker_9f2ece79f06afe8f84a329bc2b3c1cb7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d8a06675ef5cffa17d01aa79f5f5f181 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8b422d09ab822c800efa1923d8579a3a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ad20d38ae1bff5b96d82ce38a2f13538.setIcon(icon_d8a06675ef5cffa17d01aa79f5f5f181);\n",
+       "            marker_9f2ece79f06afe8f84a329bc2b3c1cb7.setIcon(icon_8b422d09ab822c800efa1923d8579a3a);\n",
        "        \n",
        "    \n",
-       "        var popup_3b2e2cb668341790b3116ded5f868fe5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3fab3f1038a126d00e5ee9051ff04b5c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_071037036a064268d61a00f52f127215 = $(`&lt;div id=&quot;html_071037036a064268d61a00f52f127215&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Nozomi Networks Inc.&lt;/b&gt; &lt;br&gt;https://security.nozominetworks.com/&lt;/div&gt;`)[0];\n",
-       "                popup_3b2e2cb668341790b3116ded5f868fe5.setContent(html_071037036a064268d61a00f52f127215);\n",
+       "                var html_30ac618a11629c764fcbdc81f0036698 = $(`&lt;div id=&quot;html_30ac618a11629c764fcbdc81f0036698&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Nozomi Networks Inc.&lt;/b&gt; &lt;br&gt;https://security.nozominetworks.com/&lt;/div&gt;`)[0];\n",
+       "                popup_3fab3f1038a126d00e5ee9051ff04b5c.setContent(html_30ac618a11629c764fcbdc81f0036698);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ad20d38ae1bff5b96d82ce38a2f13538.bindPopup(popup_3b2e2cb668341790b3116ded5f868fe5)\n",
+       "        marker_9f2ece79f06afe8f84a329bc2b3c1cb7.bindPopup(popup_3fab3f1038a126d00e5ee9051ff04b5c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_85dbe27a08279c6ae28804a08c9f10b1 = L.marker(\n",
+       "            var marker_28a78c46d91dd459ad6392965862f8c6 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_51621c80bb9f00284f03cfdfcbb0c085 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_468f0ac56caa45c1f5672c2276555c9c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_85dbe27a08279c6ae28804a08c9f10b1.setIcon(icon_51621c80bb9f00284f03cfdfcbb0c085);\n",
+       "            marker_28a78c46d91dd459ad6392965862f8c6.setIcon(icon_468f0ac56caa45c1f5672c2276555c9c);\n",
        "        \n",
        "    \n",
-       "        var popup_1819e95244e778f48392fe1707a490bb = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9510641d318258050b591aca470e0caa = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2ca548b5782834ed28acbed4d02840d5 = $(`&lt;div id=&quot;html_2ca548b5782834ed28acbed4d02840d5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NVIDIA Corporation&lt;/b&gt; &lt;br&gt;https://www.nvidia.com/en-us/security/&lt;/div&gt;`)[0];\n",
-       "                popup_1819e95244e778f48392fe1707a490bb.setContent(html_2ca548b5782834ed28acbed4d02840d5);\n",
+       "                var html_498331f8929498d3b19c53dfef14ad85 = $(`&lt;div id=&quot;html_498331f8929498d3b19c53dfef14ad85&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NVIDIA Corporation&lt;/b&gt; &lt;br&gt;https://www.nvidia.com/en-us/security/&lt;/div&gt;`)[0];\n",
+       "                popup_9510641d318258050b591aca470e0caa.setContent(html_498331f8929498d3b19c53dfef14ad85);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_85dbe27a08279c6ae28804a08c9f10b1.bindPopup(popup_1819e95244e778f48392fe1707a490bb)\n",
+       "        marker_28a78c46d91dd459ad6392965862f8c6.bindPopup(popup_9510641d318258050b591aca470e0caa)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_592c6780df756893c2b963cda73f0364 = L.marker(\n",
+       "            var marker_9e516bba1aa2734b9f501ab5bc36d581 = L.marker(\n",
        "                [47.59397, 14.12456],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_93872b20a33f0079e01657c64438c2a2 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6e6e745f1d68bb9f12e27aff22338605 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_592c6780df756893c2b963cda73f0364.setIcon(icon_93872b20a33f0079e01657c64438c2a2);\n",
+       "            marker_9e516bba1aa2734b9f501ab5bc36d581.setIcon(icon_6e6e745f1d68bb9f12e27aff22338605);\n",
        "        \n",
        "    \n",
-       "        var popup_94e03d698a2e908e4dd9b8ed890ddf4f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_fe093b992fefe6c1946a9eeadef0b741 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9b8624f258123ef55a228ccc6e096453 = $(`&lt;div id=&quot;html_9b8624f258123ef55a228ccc6e096453&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Objective Development Software GmbH&lt;/b&gt; &lt;br&gt;https://obdev.at/cve/published-vulnerabilities.html&lt;/div&gt;`)[0];\n",
-       "                popup_94e03d698a2e908e4dd9b8ed890ddf4f.setContent(html_9b8624f258123ef55a228ccc6e096453);\n",
+       "                var html_70012e1c4c9a625df9f71b1d5de4e84c = $(`&lt;div id=&quot;html_70012e1c4c9a625df9f71b1d5de4e84c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Objective Development Software GmbH&lt;/b&gt; &lt;br&gt;https://obdev.at/cve/published-vulnerabilities.html&lt;/div&gt;`)[0];\n",
+       "                popup_fe093b992fefe6c1946a9eeadef0b741.setContent(html_70012e1c4c9a625df9f71b1d5de4e84c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_592c6780df756893c2b963cda73f0364.bindPopup(popup_94e03d698a2e908e4dd9b8ed890ddf4f)\n",
+       "        marker_9e516bba1aa2734b9f501ab5bc36d581.bindPopup(popup_fe093b992fefe6c1946a9eeadef0b741)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a7fa5f628fd77f72e3def3fcf7871e81 = L.marker(\n",
+       "            var marker_f35b482f84a6218b270486bc360a5cbe = L.marker(\n",
        "                [-24.7761086, 134.755],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_36ebf293c404a6fde9c978011932721c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f64dd98024baeddf08bdc54e9de6be4b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a7fa5f628fd77f72e3def3fcf7871e81.setIcon(icon_36ebf293c404a6fde9c978011932721c);\n",
+       "            marker_f35b482f84a6218b270486bc360a5cbe.setIcon(icon_f64dd98024baeddf08bdc54e9de6be4b);\n",
        "        \n",
        "    \n",
-       "        var popup_f3eab292272c5ab3dab25314b0c99b1e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3ed877cc0a227d56f9fbaf31b3e636c1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0beb7ff3652ea8e31455b125f2b7c063 = $(`&lt;div id=&quot;html_0beb7ff3652ea8e31455b125f2b7c063&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Octopus Deploy&lt;/b&gt; &lt;br&gt;https://advisories.octopus.com/&lt;/div&gt;`)[0];\n",
-       "                popup_f3eab292272c5ab3dab25314b0c99b1e.setContent(html_0beb7ff3652ea8e31455b125f2b7c063);\n",
+       "                var html_900f9b1fe57d1a6313f4b530560d326d = $(`&lt;div id=&quot;html_900f9b1fe57d1a6313f4b530560d326d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Octopus Deploy&lt;/b&gt; &lt;br&gt;https://advisories.octopus.com/&lt;/div&gt;`)[0];\n",
+       "                popup_3ed877cc0a227d56f9fbaf31b3e636c1.setContent(html_900f9b1fe57d1a6313f4b530560d326d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a7fa5f628fd77f72e3def3fcf7871e81.bindPopup(popup_f3eab292272c5ab3dab25314b0c99b1e)\n",
+       "        marker_f35b482f84a6218b270486bc360a5cbe.bindPopup(popup_3ed877cc0a227d56f9fbaf31b3e636c1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a9d923fb5d2f31a61e7ca3f82d3b610f = L.marker(\n",
+       "            var marker_d2a808687e76a0c2e4c2a0fff03f53ca = L.marker(\n",
        "                [50.6402809, 4.6667145],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c5c142047182be08b1515d885a1b3004 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_90bdc1ca81091e1079ddf26f0f46c7bf = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a9d923fb5d2f31a61e7ca3f82d3b610f.setIcon(icon_c5c142047182be08b1515d885a1b3004);\n",
+       "            marker_d2a808687e76a0c2e4c2a0fff03f53ca.setIcon(icon_90bdc1ca81091e1079ddf26f0f46c7bf);\n",
        "        \n",
        "    \n",
-       "        var popup_debe8583256a70c9d60790a3e4db0478 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_986f0aca4a0a8238ed4b043db1c0a7e3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_98a9a4e3484fa38c2b48dd2182f6acaf = $(`&lt;div id=&quot;html_98a9a4e3484fa38c2b48dd2182f6acaf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Odoo&lt;/b&gt; &lt;br&gt;https://www.odoo.com/r/security-issues&lt;/div&gt;`)[0];\n",
-       "                popup_debe8583256a70c9d60790a3e4db0478.setContent(html_98a9a4e3484fa38c2b48dd2182f6acaf);\n",
+       "                var html_bd610200ae663a95adc9907c1a83d4b1 = $(`&lt;div id=&quot;html_bd610200ae663a95adc9907c1a83d4b1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Odoo&lt;/b&gt; &lt;br&gt;https://www.odoo.com/r/security-issues&lt;/div&gt;`)[0];\n",
+       "                popup_986f0aca4a0a8238ed4b043db1c0a7e3.setContent(html_bd610200ae663a95adc9907c1a83d4b1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a9d923fb5d2f31a61e7ca3f82d3b610f.bindPopup(popup_debe8583256a70c9d60790a3e4db0478)\n",
+       "        marker_d2a808687e76a0c2e4c2a0fff03f53ca.bindPopup(popup_986f0aca4a0a8238ed4b043db1c0a7e3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_db535faf17e585e786ef66b9514cd6c6 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_e0d72fbee151ce94847072f4eca026ec = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ca0b294c88db86cf8deb8930073b979e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ad6e439f1e26322f74475edc48f40031 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_db535faf17e585e786ef66b9514cd6c6.setIcon(icon_ca0b294c88db86cf8deb8930073b979e);\n",
+       "            marker_e0d72fbee151ce94847072f4eca026ec.setIcon(icon_ad6e439f1e26322f74475edc48f40031);\n",
        "        \n",
        "    \n",
-       "        var popup_02a5be6a92eff96da202f1cf4eca439c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_848cd3d52caca499e35933f4c2076ab3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_947c8013b09e252b1c4301fda8e7241d = $(`&lt;div id=&quot;html_947c8013b09e252b1c4301fda8e7241d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;openEuler&lt;/b&gt; &lt;br&gt;https://www.openeuler.org/zh/security/security-bulletins/&lt;/div&gt;`)[0];\n",
-       "                popup_02a5be6a92eff96da202f1cf4eca439c.setContent(html_947c8013b09e252b1c4301fda8e7241d);\n",
+       "                var html_93072b40f505df95fe8326ce0f806a69 = $(`&lt;div id=&quot;html_93072b40f505df95fe8326ce0f806a69&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;openEuler&lt;/b&gt; &lt;br&gt;https://www.openeuler.org/zh/security/security-bulletins/&lt;/div&gt;`)[0];\n",
+       "                popup_848cd3d52caca499e35933f4c2076ab3.setContent(html_93072b40f505df95fe8326ce0f806a69);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_db535faf17e585e786ef66b9514cd6c6.bindPopup(popup_02a5be6a92eff96da202f1cf4eca439c)\n",
+       "        marker_e0d72fbee151ce94847072f4eca026ec.bindPopup(popup_848cd3d52caca499e35933f4c2076ab3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6488c22b1a12175aa75a9b09c17f3331 = L.marker(\n",
+       "            var marker_0e570aee1c021f12b8d3bd3b7711c331 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6870111ac01d92d1209a2c085001306f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_362affcfc9b2fddbb5630eba7a8a687c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6488c22b1a12175aa75a9b09c17f3331.setIcon(icon_6870111ac01d92d1209a2c085001306f);\n",
+       "            marker_0e570aee1c021f12b8d3bd3b7711c331.setIcon(icon_362affcfc9b2fddbb5630eba7a8a687c);\n",
        "        \n",
        "    \n",
-       "        var popup_e6339c7de6c2a1f88cbdeed4fb3013b3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7c058e63ef55d75816aa12f8c4721926 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_1aaa2078b2847337699471f5736535ee = $(`&lt;div id=&quot;html_1aaa2078b2847337699471f5736535ee&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenSSL Software Foundation&lt;/b&gt; &lt;br&gt;https://www.openssl.org/news/vulnerabilities.html&lt;/div&gt;`)[0];\n",
-       "                popup_e6339c7de6c2a1f88cbdeed4fb3013b3.setContent(html_1aaa2078b2847337699471f5736535ee);\n",
+       "                var html_7f686c2ae4940e9dc4dd1da8889c1625 = $(`&lt;div id=&quot;html_7f686c2ae4940e9dc4dd1da8889c1625&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenSSL Software Foundation&lt;/b&gt; &lt;br&gt;https://www.openssl.org/news/vulnerabilities.html&lt;/div&gt;`)[0];\n",
+       "                popup_7c058e63ef55d75816aa12f8c4721926.setContent(html_7f686c2ae4940e9dc4dd1da8889c1625);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6488c22b1a12175aa75a9b09c17f3331.bindPopup(popup_e6339c7de6c2a1f88cbdeed4fb3013b3)\n",
+       "        marker_0e570aee1c021f12b8d3bd3b7711c331.bindPopup(popup_7c058e63ef55d75816aa12f8c4721926)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_14c4ae378e2d0e05df79c0e79e443a1c = L.marker(\n",
+       "            var marker_55d61586782c337caeecf56d7b69c902 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3e1ff4c8a489ebf126ee1aea26e9c677 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_53b0ed61492245a2f6638100a167cf68 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_14c4ae378e2d0e05df79c0e79e443a1c.setIcon(icon_3e1ff4c8a489ebf126ee1aea26e9c677);\n",
+       "            marker_55d61586782c337caeecf56d7b69c902.setIcon(icon_53b0ed61492245a2f6638100a167cf68);\n",
        "        \n",
        "    \n",
-       "        var popup_f81659ff6dd82c0d829f0d1d0337ec70 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2fca9188f67419075d811ea3a7c59189 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_cac1411fbecd2e816dbd0d46f39677e8 = $(`&lt;div id=&quot;html_cac1411fbecd2e816dbd0d46f39677e8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenVPN Inc.&lt;/b&gt; &lt;br&gt;https://openvpn.net/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_f81659ff6dd82c0d829f0d1d0337ec70.setContent(html_cac1411fbecd2e816dbd0d46f39677e8);\n",
+       "                var html_e2bc22b05ff59b6b6134fd6f3717a972 = $(`&lt;div id=&quot;html_e2bc22b05ff59b6b6134fd6f3717a972&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenVPN Inc.&lt;/b&gt; &lt;br&gt;https://openvpn.net/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_2fca9188f67419075d811ea3a7c59189.setContent(html_e2bc22b05ff59b6b6134fd6f3717a972);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_14c4ae378e2d0e05df79c0e79e443a1c.bindPopup(popup_f81659ff6dd82c0d829f0d1d0337ec70)\n",
+       "        marker_55d61586782c337caeecf56d7b69c902.bindPopup(popup_2fca9188f67419075d811ea3a7c59189)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_02e4b0633c6f932b75f1b673f79eced2 = L.marker(\n",
+       "            var marker_109b6ed7644a0780c1cb243c33df7e6e = L.marker(\n",
        "                [64.5731537, 11.52803643954819],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a7aabf43ff8d8be57a6ea47f9a4e37f7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f6a14808593ec4c6042d0c0228bd4ace = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_02e4b0633c6f932b75f1b673f79eced2.setIcon(icon_a7aabf43ff8d8be57a6ea47f9a4e37f7);\n",
+       "            marker_109b6ed7644a0780c1cb243c33df7e6e.setIcon(icon_f6a14808593ec4c6042d0c0228bd4ace);\n",
        "        \n",
        "    \n",
-       "        var popup_19811c502bca2e879f72cac2965a2a32 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_83ae2b81c8aee5eebe96e6c5967caa99 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d7356c9438642e37676bc977103a6368 = $(`&lt;div id=&quot;html_d7356c9438642e37676bc977103a6368&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Opera&lt;/b&gt; &lt;br&gt;https://security.opera.com/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_19811c502bca2e879f72cac2965a2a32.setContent(html_d7356c9438642e37676bc977103a6368);\n",
+       "                var html_4e1de09c2f6e29c5338bd886400d1efb = $(`&lt;div id=&quot;html_4e1de09c2f6e29c5338bd886400d1efb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Opera&lt;/b&gt; &lt;br&gt;https://security.opera.com/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_83ae2b81c8aee5eebe96e6c5967caa99.setContent(html_4e1de09c2f6e29c5338bd886400d1efb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_02e4b0633c6f932b75f1b673f79eced2.bindPopup(popup_19811c502bca2e879f72cac2965a2a32)\n",
+       "        marker_109b6ed7644a0780c1cb243c33df7e6e.bindPopup(popup_83ae2b81c8aee5eebe96e6c5967caa99)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_47bd973fef94043f6884cd5287940fce = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_e9771c6228b72459d27886dcc6f24a9f = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_32169434b05aba5dfda76f12c6cb0565 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cc07df46ed9f8e3a80c2ed39b3ade100 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_47bd973fef94043f6884cd5287940fce.setIcon(icon_32169434b05aba5dfda76f12c6cb0565);\n",
+       "            marker_e9771c6228b72459d27886dcc6f24a9f.setIcon(icon_cc07df46ed9f8e3a80c2ed39b3ade100);\n",
        "        \n",
        "    \n",
-       "        var popup_a517e7b6f7fa5f48cca9fbe9e8c775d4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_36d206488737e3f8772f97628f738aea = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_114422406b1c69122b1305ff8939c2fb = $(`&lt;div id=&quot;html_114422406b1c69122b1305ff8939c2fb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OPPO Mobile Telecommunication Corp., Ltd.&lt;/b&gt; &lt;br&gt;https://security.oppo.com/en/mend.html&lt;/div&gt;`)[0];\n",
-       "                popup_a517e7b6f7fa5f48cca9fbe9e8c775d4.setContent(html_114422406b1c69122b1305ff8939c2fb);\n",
+       "                var html_72479b8bfb696f5fc659f5c0f8fa6d94 = $(`&lt;div id=&quot;html_72479b8bfb696f5fc659f5c0f8fa6d94&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OPPO Mobile Telecommunication Corp., Ltd.&lt;/b&gt; &lt;br&gt;https://security.oppo.com/en/mend.html&lt;/div&gt;`)[0];\n",
+       "                popup_36d206488737e3f8772f97628f738aea.setContent(html_72479b8bfb696f5fc659f5c0f8fa6d94);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_47bd973fef94043f6884cd5287940fce.bindPopup(popup_a517e7b6f7fa5f48cca9fbe9e8c775d4)\n",
+       "        marker_e9771c6228b72459d27886dcc6f24a9f.bindPopup(popup_36d206488737e3f8772f97628f738aea)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_71f4decfc1174048629757b24e8ba1d3 = L.marker(\n",
+       "            var marker_bfb4bb20ed3498d5b73682913240df25 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b953625242d183be02387e91a5448584 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ebb662c1071ef531eda75ff148991f8d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_71f4decfc1174048629757b24e8ba1d3.setIcon(icon_b953625242d183be02387e91a5448584);\n",
+       "            marker_bfb4bb20ed3498d5b73682913240df25.setIcon(icon_ebb662c1071ef531eda75ff148991f8d);\n",
        "        \n",
        "    \n",
-       "        var popup_f9f64e5c30b24f316544ee5ffcdb977b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_64eb870489cbdaa05cd1febea70f46c6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8c74ded39a977ffa2e6c8be79a9ceab8 = $(`&lt;div id=&quot;html_8c74ded39a977ffa2e6c8be79a9ceab8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Oracle&lt;/b&gt; &lt;br&gt;https://www.oracle.com/security-alerts/&lt;/div&gt;`)[0];\n",
-       "                popup_f9f64e5c30b24f316544ee5ffcdb977b.setContent(html_8c74ded39a977ffa2e6c8be79a9ceab8);\n",
+       "                var html_3ce811323bba8d172dde2c9be6af6313 = $(`&lt;div id=&quot;html_3ce811323bba8d172dde2c9be6af6313&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Oracle&lt;/b&gt; &lt;br&gt;https://www.oracle.com/security-alerts/&lt;/div&gt;`)[0];\n",
+       "                popup_64eb870489cbdaa05cd1febea70f46c6.setContent(html_3ce811323bba8d172dde2c9be6af6313);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_71f4decfc1174048629757b24e8ba1d3.bindPopup(popup_f9f64e5c30b24f316544ee5ffcdb977b)\n",
+       "        marker_bfb4bb20ed3498d5b73682913240df25.bindPopup(popup_64eb870489cbdaa05cd1febea70f46c6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_277e2ec9e82f5e88b133bf0e6ab94eca = L.marker(\n",
+       "            var marker_85596e50e3766f1447d6682762d285e7 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_313911f0788af00c89e9f2fc583c1e0b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_890052b9b7fcf8837bcf7c3bd1f0055c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_277e2ec9e82f5e88b133bf0e6ab94eca.setIcon(icon_313911f0788af00c89e9f2fc583c1e0b);\n",
+       "            marker_85596e50e3766f1447d6682762d285e7.setIcon(icon_890052b9b7fcf8837bcf7c3bd1f0055c);\n",
        "        \n",
        "    \n",
-       "        var popup_a8254b001586d17e61543aeeb1146248 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2e806a95f0f1e608a42afd1f501752c0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c74589d9278800d6f49c25226aebc31b = $(`&lt;div id=&quot;html_c74589d9278800d6f49c25226aebc31b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OTRS AG&lt;/b&gt; &lt;br&gt;https://otrs.com/overview-release-notes-security-advisories/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_a8254b001586d17e61543aeeb1146248.setContent(html_c74589d9278800d6f49c25226aebc31b);\n",
+       "                var html_cb88b83a65ecbc6ff4e16cb0f1b6d2df = $(`&lt;div id=&quot;html_cb88b83a65ecbc6ff4e16cb0f1b6d2df&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OTRS AG&lt;/b&gt; &lt;br&gt;https://otrs.com/overview-release-notes-security-advisories/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_2e806a95f0f1e608a42afd1f501752c0.setContent(html_cb88b83a65ecbc6ff4e16cb0f1b6d2df);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_277e2ec9e82f5e88b133bf0e6ab94eca.bindPopup(popup_a8254b001586d17e61543aeeb1146248)\n",
+       "        marker_85596e50e3766f1447d6682762d285e7.bindPopup(popup_2e806a95f0f1e608a42afd1f501752c0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9842d2f0ce4de678d6654dacdc653603 = L.marker(\n",
+       "            var marker_b417e67e9130682c9ae9e1f76f3144ec = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_fcea4ed10ab9240d2dc49100e03926f2 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_1f3439d32e2b3b853e29b7341cfeffeb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9842d2f0ce4de678d6654dacdc653603.setIcon(icon_fcea4ed10ab9240d2dc49100e03926f2);\n",
+       "            marker_b417e67e9130682c9ae9e1f76f3144ec.setIcon(icon_1f3439d32e2b3b853e29b7341cfeffeb);\n",
        "        \n",
        "    \n",
-       "        var popup_c5f4ad9877a15b15a0c924c8fd643392 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_832b77117d5321e64fde40a7f7edacf2 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9433b50d9a592e0513c3d6274755bff4 = $(`&lt;div id=&quot;html_9433b50d9a592e0513c3d6274755bff4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Palo Alto Networks, Inc.&lt;/b&gt; &lt;br&gt;https://securityadvisories.paloaltonetworks.com/&lt;/div&gt;`)[0];\n",
-       "                popup_c5f4ad9877a15b15a0c924c8fd643392.setContent(html_9433b50d9a592e0513c3d6274755bff4);\n",
+       "                var html_57616a052be4a0ed6c099bd27a0cab19 = $(`&lt;div id=&quot;html_57616a052be4a0ed6c099bd27a0cab19&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Palo Alto Networks, Inc.&lt;/b&gt; &lt;br&gt;https://securityadvisories.paloaltonetworks.com/&lt;/div&gt;`)[0];\n",
+       "                popup_832b77117d5321e64fde40a7f7edacf2.setContent(html_57616a052be4a0ed6c099bd27a0cab19);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9842d2f0ce4de678d6654dacdc653603.bindPopup(popup_c5f4ad9877a15b15a0c924c8fd643392)\n",
+       "        marker_b417e67e9130682c9ae9e1f76f3144ec.bindPopup(popup_832b77117d5321e64fde40a7f7edacf2)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_73352253e851535c8c33c15426884714 = L.marker(\n",
+       "            var marker_739a27e32c8652082ba10827b98c893d = L.marker(\n",
        "                [58.7523778, 25.3319078],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d9ecaafe0be10949c73175d7f9bbcb37 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d07279bc993d0591a4c8e811c59cea1f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_73352253e851535c8c33c15426884714.setIcon(icon_d9ecaafe0be10949c73175d7f9bbcb37);\n",
+       "            marker_739a27e32c8652082ba10827b98c893d.setIcon(icon_d07279bc993d0591a4c8e811c59cea1f);\n",
        "        \n",
        "    \n",
-       "        var popup_b760cfee0b4907c68d5d1289096c6122 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7dad3ec777afbec46045ef9550a955e7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5bc0410731d49d83e077dbbc65a793e9 = $(`&lt;div id=&quot;html_5bc0410731d49d83e077dbbc65a793e9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Patchstack&lt;/b&gt; &lt;br&gt;https://patchstack.com/database/&lt;/div&gt;`)[0];\n",
-       "                popup_b760cfee0b4907c68d5d1289096c6122.setContent(html_5bc0410731d49d83e077dbbc65a793e9);\n",
+       "                var html_434695660651ae404e99fa8bc1779212 = $(`&lt;div id=&quot;html_434695660651ae404e99fa8bc1779212&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Patchstack&lt;/b&gt; &lt;br&gt;https://patchstack.com/database/&lt;/div&gt;`)[0];\n",
+       "                popup_7dad3ec777afbec46045ef9550a955e7.setContent(html_434695660651ae404e99fa8bc1779212);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_73352253e851535c8c33c15426884714.bindPopup(popup_b760cfee0b4907c68d5d1289096c6122)\n",
+       "        marker_739a27e32c8652082ba10827b98c893d.bindPopup(popup_7dad3ec777afbec46045ef9550a955e7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_71cf463fd7dcffbcf8c11e77d9d5f708 = L.marker(\n",
+       "            var marker_415277d4d77a983e7bb7aec61903b8c6 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a90bdd528c71bcda1b0ce1c6dfc99405 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a8b50bb8ae40ac27b8d8339400c55ebb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_71cf463fd7dcffbcf8c11e77d9d5f708.setIcon(icon_a90bdd528c71bcda1b0ce1c6dfc99405);\n",
+       "            marker_415277d4d77a983e7bb7aec61903b8c6.setIcon(icon_a8b50bb8ae40ac27b8d8339400c55ebb);\n",
        "        \n",
        "    \n",
-       "        var popup_20b8d5d432cd6da5b7a3768564be6865 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_f3568ff1077293b0d426b438e978ace0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_79ad4d777157e675dd562e0b55d31bc8 = $(`&lt;div id=&quot;html_79ad4d777157e675dd562e0b55d31bc8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pegasystems Inc.&lt;/b&gt; &lt;br&gt;https://www.pega.com/trust/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_20b8d5d432cd6da5b7a3768564be6865.setContent(html_79ad4d777157e675dd562e0b55d31bc8);\n",
+       "                var html_a864418d4b376e8584c80dece6339b17 = $(`&lt;div id=&quot;html_a864418d4b376e8584c80dece6339b17&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pegasystems Inc.&lt;/b&gt; &lt;br&gt;https://www.pega.com/trust/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_f3568ff1077293b0d426b438e978ace0.setContent(html_a864418d4b376e8584c80dece6339b17);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_71cf463fd7dcffbcf8c11e77d9d5f708.bindPopup(popup_20b8d5d432cd6da5b7a3768564be6865)\n",
+       "        marker_415277d4d77a983e7bb7aec61903b8c6.bindPopup(popup_f3568ff1077293b0d426b438e978ace0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_24bcc2bcc93f57c2cd89645b2344530e = L.marker(\n",
+       "            var marker_e488e5110a533a9198c6c4ffab0ee5fc = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8a576d79be659f883ac9388a470bd204 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6667b9909b9edff33ae2a01955032032 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_24bcc2bcc93f57c2cd89645b2344530e.setIcon(icon_8a576d79be659f883ac9388a470bd204);\n",
+       "            marker_e488e5110a533a9198c6c4ffab0ee5fc.setIcon(icon_6667b9909b9edff33ae2a01955032032);\n",
        "        \n",
        "    \n",
-       "        var popup_8bb4a75763cde0ed08973505f1fe2b49 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_93e156aeaa94677cb13c77c681efc3cb = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_937c88857569df3794c9a42b0852233c = $(`&lt;div id=&quot;html_937c88857569df3794c9a42b0852233c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PHP Group&lt;/b&gt; &lt;br&gt;https://www.php.net/ChangeLog-7.php&lt;/div&gt;`)[0];\n",
-       "                popup_8bb4a75763cde0ed08973505f1fe2b49.setContent(html_937c88857569df3794c9a42b0852233c);\n",
+       "                var html_b0a4725754396ced781d8d0489cd1724 = $(`&lt;div id=&quot;html_b0a4725754396ced781d8d0489cd1724&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PHP Group&lt;/b&gt; &lt;br&gt;https://www.php.net/ChangeLog-8.php&lt;/div&gt;`)[0];\n",
+       "                popup_93e156aeaa94677cb13c77c681efc3cb.setContent(html_b0a4725754396ced781d8d0489cd1724);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_24bcc2bcc93f57c2cd89645b2344530e.bindPopup(popup_8bb4a75763cde0ed08973505f1fe2b49)\n",
+       "        marker_e488e5110a533a9198c6c4ffab0ee5fc.bindPopup(popup_93e156aeaa94677cb13c77c681efc3cb)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_759167d4b3d1f6f24ed468bc521792fc = L.marker(\n",
+       "            var marker_b075527404ceb54a38487047e1ffc01d = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8741519047067ba15872f46e15c4da4e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a65f421fe390bcc7f70f48465a4a61bd = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_759167d4b3d1f6f24ed468bc521792fc.setIcon(icon_8741519047067ba15872f46e15c4da4e);\n",
+       "            marker_b075527404ceb54a38487047e1ffc01d.setIcon(icon_a65f421fe390bcc7f70f48465a4a61bd);\n",
        "        \n",
        "    \n",
-       "        var popup_e647c7170216b77ffcde4f8f922cb44f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_249eef962e1c0aed77f74cc99bd4505d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f1e5dcb8294d8912e614058522d9e494 = $(`&lt;div id=&quot;html_f1e5dcb8294d8912e614058522d9e494&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Perforce (formerly Puppet)&lt;/b&gt; &lt;br&gt;https://portal.perforce.com/s/cve-dashboard&lt;/div&gt;`)[0];\n",
-       "                popup_e647c7170216b77ffcde4f8f922cb44f.setContent(html_f1e5dcb8294d8912e614058522d9e494);\n",
+       "                var html_4bff1beb71e5f3744be734e9bb3f533f = $(`&lt;div id=&quot;html_4bff1beb71e5f3744be734e9bb3f533f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Perforce&lt;/b&gt; &lt;br&gt;https://portal.perforce.com/s/cve-dashboard&lt;/div&gt;`)[0];\n",
+       "                popup_249eef962e1c0aed77f74cc99bd4505d.setContent(html_4bff1beb71e5f3744be734e9bb3f533f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_759167d4b3d1f6f24ed468bc521792fc.bindPopup(popup_e647c7170216b77ffcde4f8f922cb44f)\n",
+       "        marker_b075527404ceb54a38487047e1ffc01d.bindPopup(popup_249eef962e1c0aed77f74cc99bd4505d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_23ed3c66b30c88c477059c90323116e9 = L.marker(\n",
+       "            var marker_5c50517cc47039bf7e0f1a4aa8c59413 = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_221f50da5cbd147c5b700d87b10ebdb0 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d0ed64e436556361dcf1b731211a737e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_23ed3c66b30c88c477059c90323116e9.setIcon(icon_221f50da5cbd147c5b700d87b10ebdb0);\n",
+       "            marker_5c50517cc47039bf7e0f1a4aa8c59413.setIcon(icon_d0ed64e436556361dcf1b731211a737e);\n",
        "        \n",
        "    \n",
-       "        var popup_a03ab51b28dcaf87668f461446f0406d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7d0948e0e18d11f3a6b40a17c86d4ce8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_05e106a5675d48e1ac3155e3c7ff7cf9 = $(`&lt;div id=&quot;html_05e106a5675d48e1ac3155e3c7ff7cf9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;QNAP Systems, Inc.&lt;/b&gt; &lt;br&gt;https://www.qnap.com/en/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_a03ab51b28dcaf87668f461446f0406d.setContent(html_05e106a5675d48e1ac3155e3c7ff7cf9);\n",
+       "                var html_13c31e014702e663648a4426c2250ad8 = $(`&lt;div id=&quot;html_13c31e014702e663648a4426c2250ad8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;QNAP Systems, Inc.&lt;/b&gt; &lt;br&gt;https://www.qnap.com/en/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_7d0948e0e18d11f3a6b40a17c86d4ce8.setContent(html_13c31e014702e663648a4426c2250ad8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_23ed3c66b30c88c477059c90323116e9.bindPopup(popup_a03ab51b28dcaf87668f461446f0406d)\n",
+       "        marker_5c50517cc47039bf7e0f1a4aa8c59413.bindPopup(popup_7d0948e0e18d11f3a6b40a17c86d4ce8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_cb9c18c509143107b71355722bda9d73 = L.marker(\n",
+       "            var marker_6ad965ce937555ab4c42ad547040f0a8 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6c7a1f0d1f6b570105d4713d2d90a864 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_1536c7ed9c8698f960550ebc711b2891 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_cb9c18c509143107b71355722bda9d73.setIcon(icon_6c7a1f0d1f6b570105d4713d2d90a864);\n",
+       "            marker_6ad965ce937555ab4c42ad547040f0a8.setIcon(icon_1536c7ed9c8698f960550ebc711b2891);\n",
        "        \n",
        "    \n",
-       "        var popup_798bde2b33f54a0d4ba45013d12ffa55 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_af9e9c1a65529157d3068381604479ec = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e9dbdf04ff61c0d48e4cac020981c959 = $(`&lt;div id=&quot;html_e9dbdf04ff61c0d48e4cac020981c959&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Qualcomm, Inc.&lt;/b&gt; &lt;br&gt;https://www.qualcomm.com/company/product-security/bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_798bde2b33f54a0d4ba45013d12ffa55.setContent(html_e9dbdf04ff61c0d48e4cac020981c959);\n",
+       "                var html_26d045c2cb31ad203ce28161b951b86b = $(`&lt;div id=&quot;html_26d045c2cb31ad203ce28161b951b86b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Qualcomm, Inc.&lt;/b&gt; &lt;br&gt;https://www.qualcomm.com/company/product-security/bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_af9e9c1a65529157d3068381604479ec.setContent(html_26d045c2cb31ad203ce28161b951b86b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_cb9c18c509143107b71355722bda9d73.bindPopup(popup_798bde2b33f54a0d4ba45013d12ffa55)\n",
+       "        marker_6ad965ce937555ab4c42ad547040f0a8.bindPopup(popup_af9e9c1a65529157d3068381604479ec)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7c6d27322927e6b6a3374cef91cd9b51 = L.marker(\n",
+       "            var marker_4c07e91cfbd7babf8d1ee25dfbf640ac = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6231c2fd79a616441a6cd7e3425fb829 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4c8a38435fdbb18dcde45fece38a2c93 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7c6d27322927e6b6a3374cef91cd9b51.setIcon(icon_6231c2fd79a616441a6cd7e3425fb829);\n",
+       "            marker_4c07e91cfbd7babf8d1ee25dfbf640ac.setIcon(icon_4c8a38435fdbb18dcde45fece38a2c93);\n",
        "        \n",
        "    \n",
-       "        var popup_31fd5f7f56b85ef428c11a429b233483 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5686efe84b4d98c693b8c6d9aaf416da = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6259cb76eb4dd6e52d0d7d53c5a7ff3c = $(`&lt;div id=&quot;html_6259cb76eb4dd6e52d0d7d53c5a7ff3c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Rapid7, Inc.&lt;/b&gt; &lt;br&gt;https://www.rapid7.com/db/&lt;/div&gt;`)[0];\n",
-       "                popup_31fd5f7f56b85ef428c11a429b233483.setContent(html_6259cb76eb4dd6e52d0d7d53c5a7ff3c);\n",
+       "                var html_06721697d46a453ba5f6af122aced94a = $(`&lt;div id=&quot;html_06721697d46a453ba5f6af122aced94a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Rapid7, Inc.&lt;/b&gt; &lt;br&gt;https://www.rapid7.com/db/&lt;/div&gt;`)[0];\n",
+       "                popup_5686efe84b4d98c693b8c6d9aaf416da.setContent(html_06721697d46a453ba5f6af122aced94a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7c6d27322927e6b6a3374cef91cd9b51.bindPopup(popup_31fd5f7f56b85ef428c11a429b233483)\n",
+       "        marker_4c07e91cfbd7babf8d1ee25dfbf640ac.bindPopup(popup_5686efe84b4d98c693b8c6d9aaf416da)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_12b222ad7cd76772299f5056892159f6 = L.marker(\n",
+       "            var marker_05596f237afd1ea52cd646c1e849e063 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b9543a59310777e7e95360e30ac9fe67 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ac5bb2c48492056c65d7d6d2b36615c1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_12b222ad7cd76772299f5056892159f6.setIcon(icon_b9543a59310777e7e95360e30ac9fe67);\n",
+       "            marker_05596f237afd1ea52cd646c1e849e063.setIcon(icon_ac5bb2c48492056c65d7d6d2b36615c1);\n",
        "        \n",
        "    \n",
-       "        var popup_dec2ed7d0953e87a94f9f8456299ba83 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c40edab601bb2e85bc27fc7003655969 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_aed9650828a6dc75dd9a315362adf823 = $(`&lt;div id=&quot;html_aed9650828a6dc75dd9a315362adf823&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Red Hat, Inc.&lt;/b&gt; &lt;br&gt;https://access.redhat.com/security/security-updates/#/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_dec2ed7d0953e87a94f9f8456299ba83.setContent(html_aed9650828a6dc75dd9a315362adf823);\n",
+       "                var html_279ad72500220b67883d6ae9d438dfb3 = $(`&lt;div id=&quot;html_279ad72500220b67883d6ae9d438dfb3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Red Hat, Inc.&lt;/b&gt; &lt;br&gt;https://access.redhat.com/security/security-updates/#/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_c40edab601bb2e85bc27fc7003655969.setContent(html_279ad72500220b67883d6ae9d438dfb3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_12b222ad7cd76772299f5056892159f6.bindPopup(popup_dec2ed7d0953e87a94f9f8456299ba83)\n",
+       "        marker_05596f237afd1ea52cd646c1e849e063.bindPopup(popup_c40edab601bb2e85bc27fc7003655969)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2575fa3831010841927e48e3395d8cc2 = L.marker(\n",
+       "            var marker_3652a9ea5c33dd3b7ff757e8e8a45a70 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9b99650c5730705204ccb279aa218b94 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2a95ed898c3363f0b1b953bf1d26bbfc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2575fa3831010841927e48e3395d8cc2.setIcon(icon_9b99650c5730705204ccb279aa218b94);\n",
+       "            marker_3652a9ea5c33dd3b7ff757e8e8a45a70.setIcon(icon_2a95ed898c3363f0b1b953bf1d26bbfc);\n",
        "        \n",
        "    \n",
-       "        var popup_e1040f7e0a2deebfdb56695d62c95671 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_4c4592a78882e36047212372b626dd72 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_dfc6ae954122f4e77ae520b6e6daf950 = $(`&lt;div id=&quot;html_dfc6ae954122f4e77ae520b6e6daf950&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Replicated, Inc.&lt;/b&gt; &lt;br&gt;https://www.replicated.com/security/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_e1040f7e0a2deebfdb56695d62c95671.setContent(html_dfc6ae954122f4e77ae520b6e6daf950);\n",
+       "                var html_f8ceb1910672129466d599b691107855 = $(`&lt;div id=&quot;html_f8ceb1910672129466d599b691107855&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Replicated, Inc.&lt;/b&gt; &lt;br&gt;https://www.replicated.com/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_4c4592a78882e36047212372b626dd72.setContent(html_f8ceb1910672129466d599b691107855);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2575fa3831010841927e48e3395d8cc2.bindPopup(popup_e1040f7e0a2deebfdb56695d62c95671)\n",
+       "        marker_3652a9ea5c33dd3b7ff757e8e8a45a70.bindPopup(popup_4c4592a78882e36047212372b626dd72)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_310c24b823f9a893ca22a63c1258dafa = L.marker(\n",
+       "            var marker_11e2a17e76feeb4897f8c4b9035591d0 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_fde05db0fab477c4e6b39924d674b18c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4fa79ddf51f7fd280def49a7cece3ab1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_310c24b823f9a893ca22a63c1258dafa.setIcon(icon_fde05db0fab477c4e6b39924d674b18c);\n",
+       "            marker_11e2a17e76feeb4897f8c4b9035591d0.setIcon(icon_4fa79ddf51f7fd280def49a7cece3ab1);\n",
        "        \n",
        "    \n",
-       "        var popup_cea9be4af3a42bfe5e664814eac34426 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_f8281a6008ef5372e83cc2858b38c6b3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_36b26145bd3d5c85a7d8bdc68bfa9466 = $(`&lt;div id=&quot;html_36b26145bd3d5c85a7d8bdc68bfa9466&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Robert Bosch GmbH&lt;/b&gt; &lt;br&gt;https://psirt.bosch.com/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_cea9be4af3a42bfe5e664814eac34426.setContent(html_36b26145bd3d5c85a7d8bdc68bfa9466);\n",
+       "                var html_5c98de49d532faa994bba3a54a9fdde4 = $(`&lt;div id=&quot;html_5c98de49d532faa994bba3a54a9fdde4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Robert Bosch GmbH&lt;/b&gt; &lt;br&gt;https://psirt.bosch.com/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_f8281a6008ef5372e83cc2858b38c6b3.setContent(html_5c98de49d532faa994bba3a54a9fdde4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_310c24b823f9a893ca22a63c1258dafa.bindPopup(popup_cea9be4af3a42bfe5e664814eac34426)\n",
+       "        marker_11e2a17e76feeb4897f8c4b9035591d0.bindPopup(popup_f8281a6008ef5372e83cc2858b38c6b3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_af25fbbdcf0e21a8a8044c96b90f0ff9 = L.marker(\n",
+       "            var marker_ef7f091d00fa0740af1e684e980392cc = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3fdfa25c1db34061a8e2335c68ff7849 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0b82c18a4e5c584ef1cd7421592b9f8a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_af25fbbdcf0e21a8a8044c96b90f0ff9.setIcon(icon_3fdfa25c1db34061a8e2335c68ff7849);\n",
+       "            marker_ef7f091d00fa0740af1e684e980392cc.setIcon(icon_0b82c18a4e5c584ef1cd7421592b9f8a);\n",
        "        \n",
        "    \n",
-       "        var popup_841223c86d5cc9886548874bd4d38e49 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5d366a292416f980443367241d008378 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8da53b8564249a6410cd17f50fbcbb9f = $(`&lt;div id=&quot;html_8da53b8564249a6410cd17f50fbcbb9f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Salesforce, Inc.&lt;/b&gt; &lt;br&gt;https://trust.salesforce.com/en/security/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_841223c86d5cc9886548874bd4d38e49.setContent(html_8da53b8564249a6410cd17f50fbcbb9f);\n",
+       "                var html_1414d894101b93bd1693426daf960942 = $(`&lt;div id=&quot;html_1414d894101b93bd1693426daf960942&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Salesforce, Inc.&lt;/b&gt; &lt;br&gt;https://trust.salesforce.com/en/security/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_5d366a292416f980443367241d008378.setContent(html_1414d894101b93bd1693426daf960942);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_af25fbbdcf0e21a8a8044c96b90f0ff9.bindPopup(popup_841223c86d5cc9886548874bd4d38e49)\n",
+       "        marker_ef7f091d00fa0740af1e684e980392cc.bindPopup(popup_5d366a292416f980443367241d008378)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3f51d5089a7740f47c79452612e7f2e1 = L.marker(\n",
+       "            var marker_bbae78d4471334f7bd2c6747dbefec18 = L.marker(\n",
        "                [36.638392, 127.6961188],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c2a695a898354ee3fc85883b51d95609 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_17cde80c0e6c6d226786885ae6bd3127 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3f51d5089a7740f47c79452612e7f2e1.setIcon(icon_c2a695a898354ee3fc85883b51d95609);\n",
+       "            marker_bbae78d4471334f7bd2c6747dbefec18.setIcon(icon_17cde80c0e6c6d226786885ae6bd3127);\n",
        "        \n",
        "    \n",
-       "        var popup_8f973222b38046ff02a2159e7619e3d2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b30b53ec7db3a964f9a7780f4c7e1a92 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c9947f4ea01baf7ec97a12ab629b9da1 = $(`&lt;div id=&quot;html_c9947f4ea01baf7ec97a12ab629b9da1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Samsung Mobile&lt;/b&gt; &lt;br&gt;https://security.samsungmobile.com/workScope.smsb&lt;/div&gt;`)[0];\n",
-       "                popup_8f973222b38046ff02a2159e7619e3d2.setContent(html_c9947f4ea01baf7ec97a12ab629b9da1);\n",
+       "                var html_d54bcefe467390c82bd973f1d3e37209 = $(`&lt;div id=&quot;html_d54bcefe467390c82bd973f1d3e37209&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Samsung Mobile&lt;/b&gt; &lt;br&gt;https://security.samsungmobile.com/workScope.smsb&lt;/div&gt;`)[0];\n",
+       "                popup_b30b53ec7db3a964f9a7780f4c7e1a92.setContent(html_d54bcefe467390c82bd973f1d3e37209);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3f51d5089a7740f47c79452612e7f2e1.bindPopup(popup_8f973222b38046ff02a2159e7619e3d2)\n",
+       "        marker_bbae78d4471334f7bd2c6747dbefec18.bindPopup(popup_b30b53ec7db3a964f9a7780f4c7e1a92)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_03f3009a982335d314f83e12afe00812 = L.marker(\n",
+       "            var marker_9a74e5d4f639bc8b03963aabb2ef5127 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_07a210ddd7bc01449d0774bd8870f8b1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0892ad6e1f25dc63be3aa5f5fc07876a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_03f3009a982335d314f83e12afe00812.setIcon(icon_07a210ddd7bc01449d0774bd8870f8b1);\n",
+       "            marker_9a74e5d4f639bc8b03963aabb2ef5127.setIcon(icon_0892ad6e1f25dc63be3aa5f5fc07876a);\n",
        "        \n",
        "    \n",
-       "        var popup_ef6f8830c9adabe09cbbe183b480acd9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_63e771bd6bf27603b44c48fdf652658f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fe25c39c7152d47799c89707080dfb87 = $(`&lt;div id=&quot;html_fe25c39c7152d47799c89707080dfb87&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SAP SE&lt;/b&gt; &lt;br&gt;https://www.sap.com/documents/2022/02/fa865ea4-167e-0010-bca6-c68f7e60039b.html&lt;/div&gt;`)[0];\n",
-       "                popup_ef6f8830c9adabe09cbbe183b480acd9.setContent(html_fe25c39c7152d47799c89707080dfb87);\n",
+       "                var html_ccba68a782458883eaf96cb20c0348a4 = $(`&lt;div id=&quot;html_ccba68a782458883eaf96cb20c0348a4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SAP SE&lt;/b&gt; &lt;br&gt;https://www.sap.com/documents/2022/02/fa865ea4-167e-0010-bca6-c68f7e60039b.html&lt;/div&gt;`)[0];\n",
+       "                popup_63e771bd6bf27603b44c48fdf652658f.setContent(html_ccba68a782458883eaf96cb20c0348a4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_03f3009a982335d314f83e12afe00812.bindPopup(popup_ef6f8830c9adabe09cbbe183b480acd9)\n",
+       "        marker_9a74e5d4f639bc8b03963aabb2ef5127.bindPopup(popup_63e771bd6bf27603b44c48fdf652658f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b1b8e0728f39b8c47c4ead1996bf3490 = L.marker(\n",
+       "            var marker_c9753aa0b9b7aef5c2a71003393434b2 = L.marker(\n",
        "                [55.670249, 10.3333283],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1b7e6afbc22e46095bdbff667b1a4588 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_02d1358f198d85e2ff39fd62d69c2891 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b1b8e0728f39b8c47c4ead1996bf3490.setIcon(icon_1b7e6afbc22e46095bdbff667b1a4588);\n",
+       "            marker_c9753aa0b9b7aef5c2a71003393434b2.setIcon(icon_02d1358f198d85e2ff39fd62d69c2891);\n",
        "        \n",
        "    \n",
-       "        var popup_e62dea0d2ab41b5bd4130fa47cc6630d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8c01bb53b70d2124edaf5612dd5efb0d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_00c8f5d453f51c67f77a3455172666c1 = $(`&lt;div id=&quot;html_00c8f5d453f51c67f77a3455172666c1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Secomea A/S&lt;/b&gt; &lt;br&gt;https://www.secomea.com/cybersecurity-advisory/&lt;/div&gt;`)[0];\n",
-       "                popup_e62dea0d2ab41b5bd4130fa47cc6630d.setContent(html_00c8f5d453f51c67f77a3455172666c1);\n",
+       "                var html_cfea74288660b06fc24d159830ab3016 = $(`&lt;div id=&quot;html_cfea74288660b06fc24d159830ab3016&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Secomea A/S&lt;/b&gt; &lt;br&gt;https://www.secomea.com/cybersecurity-advisory/&lt;/div&gt;`)[0];\n",
+       "                popup_8c01bb53b70d2124edaf5612dd5efb0d.setContent(html_cfea74288660b06fc24d159830ab3016);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b1b8e0728f39b8c47c4ead1996bf3490.bindPopup(popup_e62dea0d2ab41b5bd4130fa47cc6630d)\n",
+       "        marker_c9753aa0b9b7aef5c2a71003393434b2.bindPopup(popup_8c01bb53b70d2124edaf5612dd5efb0d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7289aaad07a39023ccd19ded47a744be = L.marker(\n",
+       "            var marker_79d248e60b1b6d4bf2bcc2af4b0ed4eb = L.marker(\n",
        "                [46.603354, 1.8883335],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bf97130cf101dc518468691bd3c1fe9c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7d39dbbc35d2cf1983f6a9fc1bb8648e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7289aaad07a39023ccd19ded47a744be.setIcon(icon_bf97130cf101dc518468691bd3c1fe9c);\n",
+       "            marker_79d248e60b1b6d4bf2bcc2af4b0ed4eb.setIcon(icon_7d39dbbc35d2cf1983f6a9fc1bb8648e);\n",
        "        \n",
        "    \n",
-       "        var popup_2c1e98e2142e0d622eb440f91ba0892e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_869338298c89fd7463945d0e22207740 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7cea4cf04c2cc5208f3f211202779d09 = $(`&lt;div id=&quot;html_7cea4cf04c2cc5208f3f211202779d09&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Schneider Electric&lt;/b&gt; &lt;br&gt;https://www.se.com/ww/en/work/support/cybersecurity/security-notifications.jsp&lt;/div&gt;`)[0];\n",
-       "                popup_2c1e98e2142e0d622eb440f91ba0892e.setContent(html_7cea4cf04c2cc5208f3f211202779d09);\n",
+       "                var html_e0228faf0393195f396b2ddfd7a302aa = $(`&lt;div id=&quot;html_e0228faf0393195f396b2ddfd7a302aa&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Schneider Electric&lt;/b&gt; &lt;br&gt;https://www.se.com/ww/en/work/support/cybersecurity/security-notifications.jsp&lt;/div&gt;`)[0];\n",
+       "                popup_869338298c89fd7463945d0e22207740.setContent(html_e0228faf0393195f396b2ddfd7a302aa);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7289aaad07a39023ccd19ded47a744be.bindPopup(popup_2c1e98e2142e0d622eb440f91ba0892e)\n",
+       "        marker_79d248e60b1b6d4bf2bcc2af4b0ed4eb.bindPopup(popup_869338298c89fd7463945d0e22207740)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_97efc56416707af556083b3a34fea66b = L.marker(\n",
+       "            var marker_5b7100c1fe1bd04dd891a56a5352d6a2 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f9e17c69c0aa73085cb3ee3c748a1bbc = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_22165127965b8d19dbb649bd4fd48697 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_97efc56416707af556083b3a34fea66b.setIcon(icon_f9e17c69c0aa73085cb3ee3c748a1bbc);\n",
+       "            marker_5b7100c1fe1bd04dd891a56a5352d6a2.setIcon(icon_22165127965b8d19dbb649bd4fd48697);\n",
        "        \n",
        "    \n",
-       "        var popup_c82777865f39d44d81e3d0ca202d6f3a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b6a870401286c64fa5dca6fe27e4d9ec = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ea3d825e6dcd4107b2c67e04b07771a9 = $(`&lt;div id=&quot;html_ea3d825e6dcd4107b2c67e04b07771a9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SICK AG&lt;/b&gt; &lt;br&gt;https://sick.com/psirt#advisories&lt;/div&gt;`)[0];\n",
-       "                popup_c82777865f39d44d81e3d0ca202d6f3a.setContent(html_ea3d825e6dcd4107b2c67e04b07771a9);\n",
+       "                var html_7cb3a5cb6c6eb90fec38c905e7709adf = $(`&lt;div id=&quot;html_7cb3a5cb6c6eb90fec38c905e7709adf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SICK AG&lt;/b&gt; &lt;br&gt;https://sick.com/psirt#advisories&lt;/div&gt;`)[0];\n",
+       "                popup_b6a870401286c64fa5dca6fe27e4d9ec.setContent(html_7cb3a5cb6c6eb90fec38c905e7709adf);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_97efc56416707af556083b3a34fea66b.bindPopup(popup_c82777865f39d44d81e3d0ca202d6f3a)\n",
+       "        marker_5b7100c1fe1bd04dd891a56a5352d6a2.bindPopup(popup_b6a870401286c64fa5dca6fe27e4d9ec)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7ee1da402ebeb62497b1fafcccf4f034 = L.marker(\n",
+       "            var marker_0f9b93c428c31a435c26814bd4a563c9 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_276d9719d8982ce932641d4433b1abcd = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_dca4ee7c77db34400aaeed27f87204d6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7ee1da402ebeb62497b1fafcccf4f034.setIcon(icon_276d9719d8982ce932641d4433b1abcd);\n",
+       "            marker_0f9b93c428c31a435c26814bd4a563c9.setIcon(icon_dca4ee7c77db34400aaeed27f87204d6);\n",
        "        \n",
        "    \n",
-       "        var popup_e5c76504de6faf13ae51d3ddb80fa6d3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ef5c5ec812ebfb9a414282c5d6ba2b12 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5cb3d6e22be5148b0db3ac0e402d8d2d = $(`&lt;div id=&quot;html_5cb3d6e22be5148b0db3ac0e402d8d2d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Siemens&lt;/b&gt; &lt;br&gt;https://new.siemens.com/global/en/products/services/cert.html#SecurityPublications&lt;/div&gt;`)[0];\n",
-       "                popup_e5c76504de6faf13ae51d3ddb80fa6d3.setContent(html_5cb3d6e22be5148b0db3ac0e402d8d2d);\n",
+       "                var html_866b4e828cb80ab45203725280c5a232 = $(`&lt;div id=&quot;html_866b4e828cb80ab45203725280c5a232&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Siemens&lt;/b&gt; &lt;br&gt;https://new.siemens.com/global/en/products/services/cert.html#SecurityPublications&lt;/div&gt;`)[0];\n",
+       "                popup_ef5c5ec812ebfb9a414282c5d6ba2b12.setContent(html_866b4e828cb80ab45203725280c5a232);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7ee1da402ebeb62497b1fafcccf4f034.bindPopup(popup_e5c76504de6faf13ae51d3ddb80fa6d3)\n",
+       "        marker_0f9b93c428c31a435c26814bd4a563c9.bindPopup(popup_ef5c5ec812ebfb9a414282c5d6ba2b12)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4e6011cde7ee6e22f0145900ea8fe5e9 = L.marker(\n",
+       "            var marker_4420bc40482bda64edb9240e8db378fa = L.marker(\n",
        "                [61.0666922, -107.991707],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_260ccfe875e92301b10247889d886b64 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_769984f3ffded23fc6099154ecfaf825 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4e6011cde7ee6e22f0145900ea8fe5e9.setIcon(icon_260ccfe875e92301b10247889d886b64);\n",
+       "            marker_4420bc40482bda64edb9240e8db378fa.setIcon(icon_769984f3ffded23fc6099154ecfaf825);\n",
        "        \n",
        "    \n",
-       "        var popup_d765a69ba92f09c81bebad65ec6de11f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_114314927faec5652e619a99570f0623 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7ed4f9e84c964739540d8154e25befa2 = $(`&lt;div id=&quot;html_7ed4f9e84c964739540d8154e25befa2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Sierra Wireless Inc.&lt;/b&gt; &lt;br&gt;https://www.sierrawireless.com/company/iot-device-security/security-bulletins/&lt;/div&gt;`)[0];\n",
-       "                popup_d765a69ba92f09c81bebad65ec6de11f.setContent(html_7ed4f9e84c964739540d8154e25befa2);\n",
+       "                var html_8954e23f3a2663deada80b742a825068 = $(`&lt;div id=&quot;html_8954e23f3a2663deada80b742a825068&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Sierra Wireless Inc.&lt;/b&gt; &lt;br&gt;https://www.sierrawireless.com/company/iot-device-security/security-bulletins/&lt;/div&gt;`)[0];\n",
+       "                popup_114314927faec5652e619a99570f0623.setContent(html_8954e23f3a2663deada80b742a825068);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4e6011cde7ee6e22f0145900ea8fe5e9.bindPopup(popup_d765a69ba92f09c81bebad65ec6de11f)\n",
+       "        marker_4420bc40482bda64edb9240e8db378fa.bindPopup(popup_114314927faec5652e619a99570f0623)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_daef8c9c14c877af5975f7bcc0e8b731 = L.marker(\n",
+       "            var marker_e90b6e44e50f171e7f8d9ccd52894f95 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5d4ceefd0f5d8987fd926866e4503057 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5b91d77ddee54791c27ce83943462097 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_daef8c9c14c877af5975f7bcc0e8b731.setIcon(icon_5d4ceefd0f5d8987fd926866e4503057);\n",
+       "            marker_e90b6e44e50f171e7f8d9ccd52894f95.setIcon(icon_5b91d77ddee54791c27ce83943462097);\n",
        "        \n",
        "    \n",
-       "        var popup_8ec9e2241da8e07dc5cbd2ec1861b517 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ec71f6a8c632240620f03b92a8fa974a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_43bf4680a294da4d1dbbee74a14836bd = $(`&lt;div id=&quot;html_43bf4680a294da4d1dbbee74a14836bd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Silver Peak Systems, Inc.&lt;/b&gt; &lt;br&gt;https://www.silver-peak.com/support/user-documentation/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_8ec9e2241da8e07dc5cbd2ec1861b517.setContent(html_43bf4680a294da4d1dbbee74a14836bd);\n",
+       "                var html_ae90bf32ae9beb2950732e35543d921c = $(`&lt;div id=&quot;html_ae90bf32ae9beb2950732e35543d921c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Silver Peak Systems, Inc.&lt;/b&gt; &lt;br&gt;https://www.silver-peak.com/support/user-documentation/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_ec71f6a8c632240620f03b92a8fa974a.setContent(html_ae90bf32ae9beb2950732e35543d921c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_daef8c9c14c877af5975f7bcc0e8b731.bindPopup(popup_8ec9e2241da8e07dc5cbd2ec1861b517)\n",
+       "        marker_e90b6e44e50f171e7f8d9ccd52894f95.bindPopup(popup_ec71f6a8c632240620f03b92a8fa974a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_78ffc72e95e1f1f63d5415c6f1ffc1ea = L.marker(\n",
+       "            var marker_ecc35bd28df4f7892a7a169486ccca8a = L.marker(\n",
        "                [38.9597594, 34.9249653],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3039d2cc5f36ecfacaccca8664a3cbfc = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_93a7e122c71860864f436f190e8a8f83 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_78ffc72e95e1f1f63d5415c6f1ffc1ea.setIcon(icon_3039d2cc5f36ecfacaccca8664a3cbfc);\n",
+       "            marker_ecc35bd28df4f7892a7a169486ccca8a.setIcon(icon_93a7e122c71860864f436f190e8a8f83);\n",
        "        \n",
        "    \n",
-       "        var popup_0249a4e41cecccda3667a02a751f6d70 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d7513eefcee51cad9c05bd74a4b72320 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_1f09f796e11ee93d328ee462b3f92a24 = $(`&lt;div id=&quot;html_1f09f796e11ee93d328ee462b3f92a24&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Simplinx Ltd.&lt;/b&gt; &lt;br&gt;https://simplinx.com/en/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_0249a4e41cecccda3667a02a751f6d70.setContent(html_1f09f796e11ee93d328ee462b3f92a24);\n",
+       "                var html_8be74293aebbc613e827cdee797dbe05 = $(`&lt;div id=&quot;html_8be74293aebbc613e827cdee797dbe05&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Simplinx Ltd.&lt;/b&gt; &lt;br&gt;https://simplinx.com/en/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_d7513eefcee51cad9c05bd74a4b72320.setContent(html_8be74293aebbc613e827cdee797dbe05);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_78ffc72e95e1f1f63d5415c6f1ffc1ea.bindPopup(popup_0249a4e41cecccda3667a02a751f6d70)\n",
+       "        marker_ecc35bd28df4f7892a7a169486ccca8a.bindPopup(popup_d7513eefcee51cad9c05bd74a4b72320)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_eeb06ba592eec8aa8ebfa5ed4a7eef28 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_25e226dd143fde31bfe8d00a1c34bdbc = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f0ab32b0c48e7fd15ab87f0e28e7561f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e8a2be899f6f57f21583ba5068b8a286 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_eeb06ba592eec8aa8ebfa5ed4a7eef28.setIcon(icon_f0ab32b0c48e7fd15ab87f0e28e7561f);\n",
+       "            marker_25e226dd143fde31bfe8d00a1c34bdbc.setIcon(icon_e8a2be899f6f57f21583ba5068b8a286);\n",
        "        \n",
        "    \n",
-       "        var popup_6b29882f18f6603003c44e07523b15a0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_37295bc307cc0197cc746db32a1325f1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_57510f2eab3160a9b8bffd25a3c602de = $(`&lt;div id=&quot;html_57510f2eab3160a9b8bffd25a3c602de&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Snyk&lt;/b&gt; &lt;br&gt;https://snyk.io/vuln/&lt;/div&gt;`)[0];\n",
-       "                popup_6b29882f18f6603003c44e07523b15a0.setContent(html_57510f2eab3160a9b8bffd25a3c602de);\n",
+       "                var html_7e68ec066caae3797bcb26caf9ed1ef3 = $(`&lt;div id=&quot;html_7e68ec066caae3797bcb26caf9ed1ef3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Snyk&lt;/b&gt; &lt;br&gt;https://snyk.io/vuln/&lt;/div&gt;`)[0];\n",
+       "                popup_37295bc307cc0197cc746db32a1325f1.setContent(html_7e68ec066caae3797bcb26caf9ed1ef3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_eeb06ba592eec8aa8ebfa5ed4a7eef28.bindPopup(popup_6b29882f18f6603003c44e07523b15a0)\n",
+       "        marker_25e226dd143fde31bfe8d00a1c34bdbc.bindPopup(popup_37295bc307cc0197cc746db32a1325f1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_83da5aca445400a8ce1e171f2e6417e3 = L.marker(\n",
+       "            var marker_05f03c55f02813d6551d5e8c91a7e0f7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_28d03b687474f8bed13a218f659ecdca = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_04008660f4b7b10a95c770d92df9659f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_83da5aca445400a8ce1e171f2e6417e3.setIcon(icon_28d03b687474f8bed13a218f659ecdca);\n",
+       "            marker_05f03c55f02813d6551d5e8c91a7e0f7.setIcon(icon_04008660f4b7b10a95c770d92df9659f);\n",
        "        \n",
        "    \n",
-       "        var popup_7c16965cbe249259f3d68a6b63f768ed = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1c4a1779e8a933e5fe85f2a3e331826b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_066256d129747015d5704ae2317ef95a = $(`&lt;div id=&quot;html_066256d129747015d5704ae2317ef95a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SolarWinds&lt;/b&gt; &lt;br&gt;https://www.solarwinds.com/trust-center/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_7c16965cbe249259f3d68a6b63f768ed.setContent(html_066256d129747015d5704ae2317ef95a);\n",
+       "                var html_d4a2266e312f2da73e278a616ddeca2c = $(`&lt;div id=&quot;html_d4a2266e312f2da73e278a616ddeca2c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SolarWinds&lt;/b&gt; &lt;br&gt;https://www.solarwinds.com/trust-center/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_1c4a1779e8a933e5fe85f2a3e331826b.setContent(html_d4a2266e312f2da73e278a616ddeca2c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_83da5aca445400a8ce1e171f2e6417e3.bindPopup(popup_7c16965cbe249259f3d68a6b63f768ed)\n",
+       "        marker_05f03c55f02813d6551d5e8c91a7e0f7.bindPopup(popup_1c4a1779e8a933e5fe85f2a3e331826b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a7ea83f30d00755eded1b15598544800 = L.marker(\n",
+       "            var marker_a411e14f2632705eba294d27010dc3d1 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4cce4824793d68d9b0dde96b34f4734d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2ae8ef4d2d24fb4d072f63859f713f7c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a7ea83f30d00755eded1b15598544800.setIcon(icon_4cce4824793d68d9b0dde96b34f4734d);\n",
+       "            marker_a411e14f2632705eba294d27010dc3d1.setIcon(icon_2ae8ef4d2d24fb4d072f63859f713f7c);\n",
        "        \n",
        "    \n",
-       "        var popup_9ead153a3b2f258e9e147d58b4ebb624 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ae4aed781299fc8aefe2762335fdc175 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9409598fd12a0f11e4078474d9e64dde = $(`&lt;div id=&quot;html_9409598fd12a0f11e4078474d9e64dde&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SonicWall, Inc.&lt;/b&gt; &lt;br&gt;https://psirt.global.sonicwall.com/vuln-list&lt;/div&gt;`)[0];\n",
-       "                popup_9ead153a3b2f258e9e147d58b4ebb624.setContent(html_9409598fd12a0f11e4078474d9e64dde);\n",
+       "                var html_b3e5a6cca3d9ea2c6a9365d42d839cdb = $(`&lt;div id=&quot;html_b3e5a6cca3d9ea2c6a9365d42d839cdb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SonicWall, Inc.&lt;/b&gt; &lt;br&gt;https://psirt.global.sonicwall.com/vuln-list&lt;/div&gt;`)[0];\n",
+       "                popup_ae4aed781299fc8aefe2762335fdc175.setContent(html_b3e5a6cca3d9ea2c6a9365d42d839cdb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a7ea83f30d00755eded1b15598544800.bindPopup(popup_9ead153a3b2f258e9e147d58b4ebb624)\n",
+       "        marker_a411e14f2632705eba294d27010dc3d1.bindPopup(popup_ae4aed781299fc8aefe2762335fdc175)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_682bc61d84c7bddfe318f9475198a5b3 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_d8a04eb5725b5337b718eba8c1273404 = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1a3ebe00e54bed2651591a28d378f44e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3939a7f11257d86c6055d00c203576f5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_682bc61d84c7bddfe318f9475198a5b3.setIcon(icon_1a3ebe00e54bed2651591a28d378f44e);\n",
+       "            marker_d8a04eb5725b5337b718eba8c1273404.setIcon(icon_3939a7f11257d86c6055d00c203576f5);\n",
        "        \n",
        "    \n",
-       "        var popup_377e9f6d3a3d6767ab6c060b180e0937 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ecbbe7f5714eb446563ef0f40710d622 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_1f4c7b0e91aaf43664216e581fc1184c = $(`&lt;div id=&quot;html_1f4c7b0e91aaf43664216e581fc1184c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Sophos Limited&lt;/b&gt; &lt;br&gt;https://community.sophos.com/b/security-blog/&lt;/div&gt;`)[0];\n",
-       "                popup_377e9f6d3a3d6767ab6c060b180e0937.setContent(html_1f4c7b0e91aaf43664216e581fc1184c);\n",
+       "                var html_e5ab843a7bca07ae4f59ac6452eced5a = $(`&lt;div id=&quot;html_e5ab843a7bca07ae4f59ac6452eced5a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Sophos Limited&lt;/b&gt; &lt;br&gt;https://community.sophos.com/b/security-blog/&lt;/div&gt;`)[0];\n",
+       "                popup_ecbbe7f5714eb446563ef0f40710d622.setContent(html_e5ab843a7bca07ae4f59ac6452eced5a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_682bc61d84c7bddfe318f9475198a5b3.bindPopup(popup_377e9f6d3a3d6767ab6c060b180e0937)\n",
+       "        marker_d8a04eb5725b5337b718eba8c1273404.bindPopup(popup_ecbbe7f5714eb446563ef0f40710d622)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6b6109457f3bd7ad8a4d426372460236 = L.marker(\n",
+       "            var marker_d2e14df7bd367e26ef586f7fa0451293 = L.marker(\n",
        "                [39.3260685, -4.8379791],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9d0e29d20be3daf7dd0f041b2e36859a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b27d2d7c3fd94c5f7d11876e0f28a1c4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6b6109457f3bd7ad8a4d426372460236.setIcon(icon_9d0e29d20be3daf7dd0f041b2e36859a);\n",
+       "            marker_d2e14df7bd367e26ef586f7fa0451293.setIcon(icon_b27d2d7c3fd94c5f7d11876e0f28a1c4);\n",
        "        \n",
        "    \n",
-       "        var popup_217e5862361710e3678053880d4cee68 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7293e3027007fb5a4961cafa3a8ae2a0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2caebb36623696752f313d39e05b2efb = $(`&lt;div id=&quot;html_2caebb36623696752f313d39e05b2efb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Spanish National Cybersecurity Institute, S.A. (INCIBE)&lt;/b&gt; &lt;br&gt;https://www.incibe.es/incibe-cert/alerta-temprana/vulnerabilidades/avisos-cna&lt;/div&gt;`)[0];\n",
-       "                popup_217e5862361710e3678053880d4cee68.setContent(html_2caebb36623696752f313d39e05b2efb);\n",
+       "                var html_c455cb5fee4e9c7fae867185005111b4 = $(`&lt;div id=&quot;html_c455cb5fee4e9c7fae867185005111b4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Spanish National Cybersecurity Institute, S.A. (INCIBE)&lt;/b&gt; &lt;br&gt;https://www.incibe.es/incibe-cert/alerta-temprana/vulnerabilidades/avisos-cna&lt;/div&gt;`)[0];\n",
+       "                popup_7293e3027007fb5a4961cafa3a8ae2a0.setContent(html_c455cb5fee4e9c7fae867185005111b4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6b6109457f3bd7ad8a4d426372460236.bindPopup(popup_217e5862361710e3678053880d4cee68)\n",
+       "        marker_d2e14df7bd367e26ef586f7fa0451293.bindPopup(popup_7293e3027007fb5a4961cafa3a8ae2a0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_92642dcb856433dc4abef52a2326ca9e = L.marker(\n",
+       "            var marker_755216077e24d1fc1e14f4412db4fb98 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3e7fbfd334643039b1dacb93f2f40524 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_fa9ecf9b55b31968013938013cd3022b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_92642dcb856433dc4abef52a2326ca9e.setIcon(icon_3e7fbfd334643039b1dacb93f2f40524);\n",
+       "            marker_755216077e24d1fc1e14f4412db4fb98.setIcon(icon_fa9ecf9b55b31968013938013cd3022b);\n",
        "        \n",
        "    \n",
-       "        var popup_ac8656efcfe4a79fb1891b3e43b446d1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ebd1e758323ab87389afbff2e9d495a3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_81fcbaa6e29098613a60461ede3dcfae = $(`&lt;div id=&quot;html_81fcbaa6e29098613a60461ede3dcfae&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Splunk Inc.&lt;/b&gt; &lt;br&gt;https://www.splunk.com/page/securityportal&lt;/div&gt;`)[0];\n",
-       "                popup_ac8656efcfe4a79fb1891b3e43b446d1.setContent(html_81fcbaa6e29098613a60461ede3dcfae);\n",
+       "                var html_d670ca304167c154af3708fab612d518 = $(`&lt;div id=&quot;html_d670ca304167c154af3708fab612d518&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Splunk Inc.&lt;/b&gt; &lt;br&gt;https://www.splunk.com/page/securityportal&lt;/div&gt;`)[0];\n",
+       "                popup_ebd1e758323ab87389afbff2e9d495a3.setContent(html_d670ca304167c154af3708fab612d518);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_92642dcb856433dc4abef52a2326ca9e.bindPopup(popup_ac8656efcfe4a79fb1891b3e43b446d1)\n",
+       "        marker_755216077e24d1fc1e14f4412db4fb98.bindPopup(popup_ebd1e758323ab87389afbff2e9d495a3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4a3aeb33d90a7c78c273903a1aeeb779 = L.marker(\n",
+       "            var marker_22888ccdc4bfe18af922bab3d4cbe138 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1cae3cbc0e773b50991700d1630995d6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_03cb8e6a7dfb196f37cb82ff0c5f3616 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4a3aeb33d90a7c78c273903a1aeeb779.setIcon(icon_1cae3cbc0e773b50991700d1630995d6);\n",
+       "            marker_22888ccdc4bfe18af922bab3d4cbe138.setIcon(icon_03cb8e6a7dfb196f37cb82ff0c5f3616);\n",
        "        \n",
        "    \n",
-       "        var popup_edd46844312bcc76acfdce794a7315c2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_708946788203d8f6f7c08d615acf00f9 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_301497ac4774f5d2bf6132629c32a83b = $(`&lt;div id=&quot;html_301497ac4774f5d2bf6132629c32a83b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SUSE&lt;/b&gt; &lt;br&gt;https://www.suse.com/support/update/&lt;/div&gt;`)[0];\n",
-       "                popup_edd46844312bcc76acfdce794a7315c2.setContent(html_301497ac4774f5d2bf6132629c32a83b);\n",
+       "                var html_ed42008b4c70132de1e65ea04b855cf5 = $(`&lt;div id=&quot;html_ed42008b4c70132de1e65ea04b855cf5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SUSE&lt;/b&gt; &lt;br&gt;https://www.suse.com/support/update/&lt;/div&gt;`)[0];\n",
+       "                popup_708946788203d8f6f7c08d615acf00f9.setContent(html_ed42008b4c70132de1e65ea04b855cf5);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4a3aeb33d90a7c78c273903a1aeeb779.bindPopup(popup_edd46844312bcc76acfdce794a7315c2)\n",
+       "        marker_22888ccdc4bfe18af922bab3d4cbe138.bindPopup(popup_708946788203d8f6f7c08d615acf00f9)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9b2c7aa6f5df0beeb6a2276beced2179 = L.marker(\n",
+       "            var marker_064affeece1b6754c552c56d98ba3ae8 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a01ab06bc4069a8540c684ed16b51b67 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3d66bccc03e2f1cf247c496410d6174d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9b2c7aa6f5df0beeb6a2276beced2179.setIcon(icon_a01ab06bc4069a8540c684ed16b51b67);\n",
+       "            marker_064affeece1b6754c552c56d98ba3ae8.setIcon(icon_3d66bccc03e2f1cf247c496410d6174d);\n",
        "        \n",
        "    \n",
-       "        var popup_ab836c19ed2a1ad0070141c6f1818381 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e59b5d913f22a010187a5de048562361 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b70b68324d635e1860da8c9ff0cd46ae = $(`&lt;div id=&quot;html_b70b68324d635e1860da8c9ff0cd46ae&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Swift Project&lt;/b&gt; &lt;br&gt;https://swift.org/support/security.html&lt;/div&gt;`)[0];\n",
-       "                popup_ab836c19ed2a1ad0070141c6f1818381.setContent(html_b70b68324d635e1860da8c9ff0cd46ae);\n",
+       "                var html_f8e3cab79fad287658fccf1c7437c4c6 = $(`&lt;div id=&quot;html_f8e3cab79fad287658fccf1c7437c4c6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Swift Project&lt;/b&gt; &lt;br&gt;https://swift.org/support/security.html&lt;/div&gt;`)[0];\n",
+       "                popup_e59b5d913f22a010187a5de048562361.setContent(html_f8e3cab79fad287658fccf1c7437c4c6);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9b2c7aa6f5df0beeb6a2276beced2179.bindPopup(popup_ab836c19ed2a1ad0070141c6f1818381)\n",
+       "        marker_064affeece1b6754c552c56d98ba3ae8.bindPopup(popup_e59b5d913f22a010187a5de048562361)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f58ce2726ba5a635bc686ee646e5b14c = L.marker(\n",
+       "            var marker_fcd9011c3f9428d9a0631ae64155ab76 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0e10e5cf7abe73e509736a075aa37483 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_fdcb0d0537a673a6d236c0b23d6b857a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f58ce2726ba5a635bc686ee646e5b14c.setIcon(icon_0e10e5cf7abe73e509736a075aa37483);\n",
+       "            marker_fcd9011c3f9428d9a0631ae64155ab76.setIcon(icon_fdcb0d0537a673a6d236c0b23d6b857a);\n",
        "        \n",
        "    \n",
-       "        var popup_cec4443d80bdec348b66bb52e44baa5b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a5992b817c827434cebc2e84eea26081 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ed7767521e0f698460d444ea31496188 = $(`&lt;div id=&quot;html_ed7767521e0f698460d444ea31496188&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Symantec - A Division of Broadcom&lt;/b&gt; &lt;br&gt;https://support.broadcom.com/security-advisory/security-advisories-list.html&lt;/div&gt;`)[0];\n",
-       "                popup_cec4443d80bdec348b66bb52e44baa5b.setContent(html_ed7767521e0f698460d444ea31496188);\n",
+       "                var html_a3ed4f583d2019c9b2916af1bcbf3b99 = $(`&lt;div id=&quot;html_a3ed4f583d2019c9b2916af1bcbf3b99&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Symantec - A Division of Broadcom&lt;/b&gt; &lt;br&gt;https://support.broadcom.com/security-advisory/security-advisories-list.html&lt;/div&gt;`)[0];\n",
+       "                popup_a5992b817c827434cebc2e84eea26081.setContent(html_a3ed4f583d2019c9b2916af1bcbf3b99);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f58ce2726ba5a635bc686ee646e5b14c.bindPopup(popup_cec4443d80bdec348b66bb52e44baa5b)\n",
+       "        marker_fcd9011c3f9428d9a0631ae64155ab76.bindPopup(popup_a5992b817c827434cebc2e84eea26081)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_003946e472f04c029dd4a1a220412ebf = L.marker(\n",
+       "            var marker_164f5aae16f598a59c0bdc329ee94b47 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5291e7291932cfd3466c4ec58ed68a3e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_79f0c4ca9083d05f033610b2278b0af4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_003946e472f04c029dd4a1a220412ebf.setIcon(icon_5291e7291932cfd3466c4ec58ed68a3e);\n",
+       "            marker_164f5aae16f598a59c0bdc329ee94b47.setIcon(icon_79f0c4ca9083d05f033610b2278b0af4);\n",
        "        \n",
        "    \n",
-       "        var popup_b9be218bd62f7fc1740b2bbbf840c1a1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_585ed68ee2ea3404ba03989c6ba21552 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_052c4badda62ed4d4134fbc96e1bf8cc = $(`&lt;div id=&quot;html_052c4badda62ed4d4134fbc96e1bf8cc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Synaptics, Inc.&lt;/b&gt; &lt;br&gt;https://www.synaptics.com/products/touchpad-family&lt;/div&gt;`)[0];\n",
-       "                popup_b9be218bd62f7fc1740b2bbbf840c1a1.setContent(html_052c4badda62ed4d4134fbc96e1bf8cc);\n",
+       "                var html_678dd3caf8a144bb851cd686b8750f42 = $(`&lt;div id=&quot;html_678dd3caf8a144bb851cd686b8750f42&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Synaptics, Inc.&lt;/b&gt; &lt;br&gt;https://www.synaptics.com/products/touchpad-family&lt;/div&gt;`)[0];\n",
+       "                popup_585ed68ee2ea3404ba03989c6ba21552.setContent(html_678dd3caf8a144bb851cd686b8750f42);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_003946e472f04c029dd4a1a220412ebf.bindPopup(popup_b9be218bd62f7fc1740b2bbbf840c1a1)\n",
+       "        marker_164f5aae16f598a59c0bdc329ee94b47.bindPopup(popup_585ed68ee2ea3404ba03989c6ba21552)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_45cacce4ac59756efabc55d8d53f93fc = L.marker(\n",
+       "            var marker_b12e6a4137e1eb9b5759bb3ca6838b07 = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6328f6f43d72cca14b4ad3c8a7a1c711 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5b6db30c84a766fa3c04e495b1b9ea8a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_45cacce4ac59756efabc55d8d53f93fc.setIcon(icon_6328f6f43d72cca14b4ad3c8a7a1c711);\n",
+       "            marker_b12e6a4137e1eb9b5759bb3ca6838b07.setIcon(icon_5b6db30c84a766fa3c04e495b1b9ea8a);\n",
        "        \n",
        "    \n",
-       "        var popup_84a6c3ca6dee358ee4bd4ba4a2899223 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_4dec816ecab49f697d0d9706e919144a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_11471bb3a22d0e6d8073e4542e5fc448 = $(`&lt;div id=&quot;html_11471bb3a22d0e6d8073e4542e5fc448&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Synology Inc.&lt;/b&gt; &lt;br&gt;https://www.synology.com/en-global/security/advisory&lt;/div&gt;`)[0];\n",
-       "                popup_84a6c3ca6dee358ee4bd4ba4a2899223.setContent(html_11471bb3a22d0e6d8073e4542e5fc448);\n",
+       "                var html_026d7fce5be4371d829da6a54199e652 = $(`&lt;div id=&quot;html_026d7fce5be4371d829da6a54199e652&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Synology Inc.&lt;/b&gt; &lt;br&gt;https://www.synology.com/en-global/security/advisory&lt;/div&gt;`)[0];\n",
+       "                popup_4dec816ecab49f697d0d9706e919144a.setContent(html_026d7fce5be4371d829da6a54199e652);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_45cacce4ac59756efabc55d8d53f93fc.bindPopup(popup_84a6c3ca6dee358ee4bd4ba4a2899223)\n",
+       "        marker_b12e6a4137e1eb9b5759bb3ca6838b07.bindPopup(popup_4dec816ecab49f697d0d9706e919144a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c624586e644960fd3917a549d21c8541 = L.marker(\n",
+       "            var marker_ad5b45bfcd3441173504d391662bcb2d = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0a6a3a052995791e4e7945f365745974 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_88c0f0366141cce630e1608110f80de8 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c624586e644960fd3917a549d21c8541.setIcon(icon_0a6a3a052995791e4e7945f365745974);\n",
+       "            marker_ad5b45bfcd3441173504d391662bcb2d.setIcon(icon_88c0f0366141cce630e1608110f80de8);\n",
        "        \n",
        "    \n",
-       "        var popup_227a2e6f87796a6a0a8b5dcde36a9cf6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_84f79441544e0812b452ea646bffa9bc = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b6be138380626f690d96a02d9628d38c = $(`&lt;div id=&quot;html_b6be138380626f690d96a02d9628d38c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Synopsys&lt;/b&gt; &lt;br&gt;https://www.synopsys.com/blogs/software-security/&lt;/div&gt;`)[0];\n",
-       "                popup_227a2e6f87796a6a0a8b5dcde36a9cf6.setContent(html_b6be138380626f690d96a02d9628d38c);\n",
+       "                var html_fe54d4ce64a742589d122adf7d5e69c2 = $(`&lt;div id=&quot;html_fe54d4ce64a742589d122adf7d5e69c2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Black Duck Software, Inc.&lt;/b&gt; &lt;br&gt;https://www.blackduck.com/blog/category.cyrc.html#1&lt;/div&gt;`)[0];\n",
+       "                popup_84f79441544e0812b452ea646bffa9bc.setContent(html_fe54d4ce64a742589d122adf7d5e69c2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c624586e644960fd3917a549d21c8541.bindPopup(popup_227a2e6f87796a6a0a8b5dcde36a9cf6)\n",
+       "        marker_ad5b45bfcd3441173504d391662bcb2d.bindPopup(popup_84f79441544e0812b452ea646bffa9bc)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_99866ab8409c36b7a2f898d544acbd26 = L.marker(\n",
+       "            var marker_834a9922b52f547e29e3b8ef66f98fe9 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ae9207a19e1d4d0224f4ff30332cb363 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2a159ca914988d22d3f2e57af585e166 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_99866ab8409c36b7a2f898d544acbd26.setIcon(icon_ae9207a19e1d4d0224f4ff30332cb363);\n",
+       "            marker_834a9922b52f547e29e3b8ef66f98fe9.setIcon(icon_2a159ca914988d22d3f2e57af585e166);\n",
        "        \n",
        "    \n",
-       "        var popup_4a3557ef1e65ff609ff1291f836c2f52 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7933e07ff4634dbcedfd52de69d45c8e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_cfa59d4907837e718a2756b252e6b659 = $(`&lt;div id=&quot;html_cfa59d4907837e718a2756b252e6b659&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Talos&lt;/b&gt; &lt;br&gt;https://talosintelligence.com/vulnerability_reports&lt;/div&gt;`)[0];\n",
-       "                popup_4a3557ef1e65ff609ff1291f836c2f52.setContent(html_cfa59d4907837e718a2756b252e6b659);\n",
+       "                var html_39dca3a9ab0043948933b2e2702087ba = $(`&lt;div id=&quot;html_39dca3a9ab0043948933b2e2702087ba&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Talos&lt;/b&gt; &lt;br&gt;https://talosintelligence.com/vulnerability_reports&lt;/div&gt;`)[0];\n",
+       "                popup_7933e07ff4634dbcedfd52de69d45c8e.setContent(html_39dca3a9ab0043948933b2e2702087ba);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_99866ab8409c36b7a2f898d544acbd26.bindPopup(popup_4a3557ef1e65ff609ff1291f836c2f52)\n",
+       "        marker_834a9922b52f547e29e3b8ef66f98fe9.bindPopup(popup_7933e07ff4634dbcedfd52de69d45c8e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_cc1471c8e0f912aa9e43a810175d6190 = L.marker(\n",
+       "            var marker_584f1b8acf887a90f21119d368c2440c = L.marker(\n",
        "                [61.0666922, -107.991707],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f253e97e4d4850cda53bf1cb1d204e7a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e480d327c431a2b4624b7a2258bf1372 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_cc1471c8e0f912aa9e43a810175d6190.setIcon(icon_f253e97e4d4850cda53bf1cb1d204e7a);\n",
+       "            marker_584f1b8acf887a90f21119d368c2440c.setIcon(icon_e480d327c431a2b4624b7a2258bf1372);\n",
        "        \n",
        "    \n",
-       "        var popup_cf5f24e1d97494999c9c856481f5d789 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5fd95012a0d97a0cc227c60c058de625 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5514744dacdd7ef1802ec7841e84d723 = $(`&lt;div id=&quot;html_5514744dacdd7ef1802ec7841e84d723&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Tcpdump Group&lt;/b&gt; &lt;br&gt;https://www.tcpdump.org/public-cve-list.txt&lt;/div&gt;`)[0];\n",
-       "                popup_cf5f24e1d97494999c9c856481f5d789.setContent(html_5514744dacdd7ef1802ec7841e84d723);\n",
+       "                var html_baa13dec4a2bc440c2a8a75ed873e929 = $(`&lt;div id=&quot;html_baa13dec4a2bc440c2a8a75ed873e929&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Tcpdump Group&lt;/b&gt; &lt;br&gt;https://www.tcpdump.org/public-cve-list.txt&lt;/div&gt;`)[0];\n",
+       "                popup_5fd95012a0d97a0cc227c60c058de625.setContent(html_baa13dec4a2bc440c2a8a75ed873e929);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_cc1471c8e0f912aa9e43a810175d6190.bindPopup(popup_cf5f24e1d97494999c9c856481f5d789)\n",
+       "        marker_584f1b8acf887a90f21119d368c2440c.bindPopup(popup_5fd95012a0d97a0cc227c60c058de625)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9f4e46741f10389538d3c19020a10bcf = L.marker(\n",
+       "            var marker_b7c2bb9acad041f09d3326519d7fbbc7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5e7503687327faf2c16ef735f4c24df5 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cc1437bd86888d9af208b63abe4dbc29 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9f4e46741f10389538d3c19020a10bcf.setIcon(icon_5e7503687327faf2c16ef735f4c24df5);\n",
+       "            marker_b7c2bb9acad041f09d3326519d7fbbc7.setIcon(icon_cc1437bd86888d9af208b63abe4dbc29);\n",
        "        \n",
        "    \n",
-       "        var popup_c261a925df0907fd0fcaff11d2f15087 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a8931588ee97b4b8f4e9a9509f013093 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9e415d99709337946077254f3fcc9ea2 = $(`&lt;div id=&quot;html_9e415d99709337946077254f3fcc9ea2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Tenable Network Security, Inc.&lt;/b&gt; &lt;br&gt;https://www.tenable.com/security&lt;/div&gt;`)[0];\n",
-       "                popup_c261a925df0907fd0fcaff11d2f15087.setContent(html_9e415d99709337946077254f3fcc9ea2);\n",
+       "                var html_644a261a0c9381f272e0f94b2fc19134 = $(`&lt;div id=&quot;html_644a261a0c9381f272e0f94b2fc19134&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Tenable Network Security, Inc.&lt;/b&gt; &lt;br&gt;https://www.tenable.com/security&lt;/div&gt;`)[0];\n",
+       "                popup_a8931588ee97b4b8f4e9a9509f013093.setContent(html_644a261a0c9381f272e0f94b2fc19134);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9f4e46741f10389538d3c19020a10bcf.bindPopup(popup_c261a925df0907fd0fcaff11d2f15087)\n",
+       "        marker_b7c2bb9acad041f09d3326519d7fbbc7.bindPopup(popup_a8931588ee97b4b8f4e9a9509f013093)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_49d271a93cf526a3e428d5c283171a66 = L.marker(\n",
+       "            var marker_d689a3063562f3480fc99eae8cc4caba = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6c818e07db16129b42c681a52a3d4762 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3c2de3492559f8c08b427b22f2063506 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_49d271a93cf526a3e428d5c283171a66.setIcon(icon_6c818e07db16129b42c681a52a3d4762);\n",
+       "            marker_d689a3063562f3480fc99eae8cc4caba.setIcon(icon_3c2de3492559f8c08b427b22f2063506);\n",
        "        \n",
        "    \n",
-       "        var popup_8d2ec35381ff81bca38d03a09d34dd4d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9e1ba84ece0879ae6b36548ec98009c2 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_74097fa670a9f4439ef0c96e4ca5a36b = $(`&lt;div id=&quot;html_74097fa670a9f4439ef0c96e4ca5a36b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TianoCore.org&lt;/b&gt; &lt;br&gt;https://tianocore-docs.github.io/SecurityAdvisory/draft/&lt;/div&gt;`)[0];\n",
-       "                popup_8d2ec35381ff81bca38d03a09d34dd4d.setContent(html_74097fa670a9f4439ef0c96e4ca5a36b);\n",
+       "                var html_d8e910ef88314f87aa918c68ca4a383f = $(`&lt;div id=&quot;html_d8e910ef88314f87aa918c68ca4a383f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TianoCore.org&lt;/b&gt; &lt;br&gt;https://tianocore-docs.github.io/SecurityAdvisory/draft/&lt;/div&gt;`)[0];\n",
+       "                popup_9e1ba84ece0879ae6b36548ec98009c2.setContent(html_d8e910ef88314f87aa918c68ca4a383f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_49d271a93cf526a3e428d5c283171a66.bindPopup(popup_8d2ec35381ff81bca38d03a09d34dd4d)\n",
+       "        marker_d689a3063562f3480fc99eae8cc4caba.bindPopup(popup_9e1ba84ece0879ae6b36548ec98009c2)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ad34c5426f1b268295aaa6ade4b814e4 = L.marker(\n",
+       "            var marker_e669c1438426f547abd34c1310100c6d = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d3e0713eb4ca4b7116e8bb05d38fddbd = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f407294b67e8053b786024635a27d618 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ad34c5426f1b268295aaa6ade4b814e4.setIcon(icon_d3e0713eb4ca4b7116e8bb05d38fddbd);\n",
+       "            marker_e669c1438426f547abd34c1310100c6d.setIcon(icon_f407294b67e8053b786024635a27d618);\n",
        "        \n",
        "    \n",
-       "        var popup_22a47055de4b5f0ac8ee958c34eeb470 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bff757c1c140d1285979992e5d972e44 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0935f0d58d16d300ac64d4842d28b7f2 = $(`&lt;div id=&quot;html_0935f0d58d16d300ac64d4842d28b7f2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TIBCO Software Inc.&lt;/b&gt; &lt;br&gt;https://www.tibco.com/services/support/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_22a47055de4b5f0ac8ee958c34eeb470.setContent(html_0935f0d58d16d300ac64d4842d28b7f2);\n",
+       "                var html_d282c14939ff5e017f39f2ffd32ee9f4 = $(`&lt;div id=&quot;html_d282c14939ff5e017f39f2ffd32ee9f4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TIBCO Software Inc.&lt;/b&gt; &lt;br&gt;https://www.tibco.com/services/support/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_bff757c1c140d1285979992e5d972e44.setContent(html_d282c14939ff5e017f39f2ffd32ee9f4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ad34c5426f1b268295aaa6ade4b814e4.bindPopup(popup_22a47055de4b5f0ac8ee958c34eeb470)\n",
+       "        marker_e669c1438426f547abd34c1310100c6d.bindPopup(popup_bff757c1c140d1285979992e5d972e44)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0c70fc5155d156ee840e70105046bd48 = L.marker(\n",
+       "            var marker_3cd8a396a5bd9ea104f7cf9be90ac168 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f91884966b42e1b974e3d8f2a83a7ab5 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d655ca409130a55f0b74a0dc6d239ec3 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0c70fc5155d156ee840e70105046bd48.setIcon(icon_f91884966b42e1b974e3d8f2a83a7ab5);\n",
+       "            marker_3cd8a396a5bd9ea104f7cf9be90ac168.setIcon(icon_d655ca409130a55f0b74a0dc6d239ec3);\n",
        "        \n",
        "    \n",
-       "        var popup_2d9ce8489f1d0f44ea1f1fdcdc78d9d8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b3d3ca6e73230e7352e96e838c2728ae = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d1b120945ae20d7dea82fbf57af63bd0 = $(`&lt;div id=&quot;html_d1b120945ae20d7dea82fbf57af63bd0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Tigera, Inc.&lt;/b&gt; &lt;br&gt;https://www.projectcalico.org/security-bulletins/&lt;/div&gt;`)[0];\n",
-       "                popup_2d9ce8489f1d0f44ea1f1fdcdc78d9d8.setContent(html_d1b120945ae20d7dea82fbf57af63bd0);\n",
+       "                var html_19790df95d1a1e1268e665be1a23f26c = $(`&lt;div id=&quot;html_19790df95d1a1e1268e665be1a23f26c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Tigera, Inc.&lt;/b&gt; &lt;br&gt;https://www.projectcalico.org/security-bulletins/&lt;/div&gt;`)[0];\n",
+       "                popup_b3d3ca6e73230e7352e96e838c2728ae.setContent(html_19790df95d1a1e1268e665be1a23f26c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0c70fc5155d156ee840e70105046bd48.bindPopup(popup_2d9ce8489f1d0f44ea1f1fdcdc78d9d8)\n",
+       "        marker_3cd8a396a5bd9ea104f7cf9be90ac168.bindPopup(popup_b3d3ca6e73230e7352e96e838c2728ae)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_1a682ff1bd49619aa0d2efb72f743eba = L.marker(\n",
+       "            var marker_5df03b51ca0630931996c1e08d599d90 = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_869f243e6264050622fac17d1f40604b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7573952557ae005d16e087825cfea4bc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_1a682ff1bd49619aa0d2efb72f743eba.setIcon(icon_869f243e6264050622fac17d1f40604b);\n",
+       "            marker_5df03b51ca0630931996c1e08d599d90.setIcon(icon_7573952557ae005d16e087825cfea4bc);\n",
        "        \n",
        "    \n",
-       "        var popup_33cd894f25040e0b09788dd1879868c9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_af44564e779f9bb42d46fdeccf5d5204 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e7239ac72ecbf0b3d911b5e0be77e37e = $(`&lt;div id=&quot;html_e7239ac72ecbf0b3d911b5e0be77e37e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Toshiba Corporation&lt;/b&gt; &lt;br&gt;https://www.global.toshiba/ww/cybersecurity/corporate/psirt.html&lt;/div&gt;`)[0];\n",
-       "                popup_33cd894f25040e0b09788dd1879868c9.setContent(html_e7239ac72ecbf0b3d911b5e0be77e37e);\n",
+       "                var html_2976e9e086553076d51593485c4442d2 = $(`&lt;div id=&quot;html_2976e9e086553076d51593485c4442d2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Toshiba Corporation&lt;/b&gt; &lt;br&gt;https://www.global.toshiba/ww/cybersecurity/corporate/psirt.html&lt;/div&gt;`)[0];\n",
+       "                popup_af44564e779f9bb42d46fdeccf5d5204.setContent(html_2976e9e086553076d51593485c4442d2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_1a682ff1bd49619aa0d2efb72f743eba.bindPopup(popup_33cd894f25040e0b09788dd1879868c9)\n",
+       "        marker_5df03b51ca0630931996c1e08d599d90.bindPopup(popup_af44564e779f9bb42d46fdeccf5d5204)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_99db4848604acad32e8b00dcf621d473 = L.marker(\n",
+       "            var marker_7199c135265b11607037d4f831fffa3e = L.marker(\n",
        "                [38.9597594, 34.9249653],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0aa2237bdec4e8b0416b1522a7137ebb = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5d854a98adda3a8d3107793a2bf09765 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_99db4848604acad32e8b00dcf621d473.setIcon(icon_0aa2237bdec4e8b0416b1522a7137ebb);\n",
+       "            marker_7199c135265b11607037d4f831fffa3e.setIcon(icon_5d854a98adda3a8d3107793a2bf09765);\n",
        "        \n",
        "    \n",
-       "        var popup_24ea0ee233579296bb4c1d23c82729a5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3f85459f59d195ddc61f71918b914672 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_735992671ca3361b8f7ab6419f2aa255 = $(`&lt;div id=&quot;html_735992671ca3361b8f7ab6419f2aa255&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TR-CERT (Computer Emergency Response Team of the Republic of Türkiye)&lt;/b&gt; &lt;br&gt;https://www.usom.gov.tr/tehdit.html&lt;/div&gt;`)[0];\n",
-       "                popup_24ea0ee233579296bb4c1d23c82729a5.setContent(html_735992671ca3361b8f7ab6419f2aa255);\n",
+       "                var html_3d3efbaaa26c995b05b225e2f769a4ec = $(`&lt;div id=&quot;html_3d3efbaaa26c995b05b225e2f769a4ec&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TR-CERT (Computer Emergency Response Team of the Republic of Türkiye)&lt;/b&gt; &lt;br&gt;https://www.usom.gov.tr/bildirim&lt;/div&gt;`)[0];\n",
+       "                popup_3f85459f59d195ddc61f71918b914672.setContent(html_3d3efbaaa26c995b05b225e2f769a4ec);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_99db4848604acad32e8b00dcf621d473.bindPopup(popup_24ea0ee233579296bb4c1d23c82729a5)\n",
+       "        marker_7199c135265b11607037d4f831fffa3e.bindPopup(popup_3f85459f59d195ddc61f71918b914672)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_96e92a10ce37babf057830fbb458d070 = L.marker(\n",
+       "            var marker_65d5223f4b3d62b8578fc4bfb650aafc = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_409f177fad712b8d0892b1c1d9999de5 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4cce3fdfe4a218d5dacf5fb53f017e48 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_96e92a10ce37babf057830fbb458d070.setIcon(icon_409f177fad712b8d0892b1c1d9999de5);\n",
+       "            marker_65d5223f4b3d62b8578fc4bfb650aafc.setIcon(icon_4cce3fdfe4a218d5dacf5fb53f017e48);\n",
        "        \n",
        "    \n",
-       "        var popup_e4336f964d600e7242bef15bc8e243d1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_17eb4be5b8b8afb4359ccefb0bd35091 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_670344daef9f4896e78f123203d7c846 = $(`&lt;div id=&quot;html_670344daef9f4896e78f123203d7c846&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Trend Micro, Inc.&lt;/b&gt; &lt;br&gt;https://success.trendmicro.com/vulnerability-response#report&lt;/div&gt;`)[0];\n",
-       "                popup_e4336f964d600e7242bef15bc8e243d1.setContent(html_670344daef9f4896e78f123203d7c846);\n",
+       "                var html_fe88c6c96ed31aab482fc09a1443706d = $(`&lt;div id=&quot;html_fe88c6c96ed31aab482fc09a1443706d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Trend Micro, Inc.&lt;/b&gt; &lt;br&gt;https://success.trendmicro.com/vulnerability-response#report&lt;/div&gt;`)[0];\n",
+       "                popup_17eb4be5b8b8afb4359ccefb0bd35091.setContent(html_fe88c6c96ed31aab482fc09a1443706d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_96e92a10ce37babf057830fbb458d070.bindPopup(popup_e4336f964d600e7242bef15bc8e243d1)\n",
+       "        marker_65d5223f4b3d62b8578fc4bfb650aafc.bindPopup(popup_17eb4be5b8b8afb4359ccefb0bd35091)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4b5ded2af4fb06e87625e673b27dc6f0 = L.marker(\n",
+       "            var marker_d7bde3f96fe205f87adf5f72438f53eb = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4454e5a449ef76363e8c607b2feda4d8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_42d9b533d0d293e3b6e9511c620e40a5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4b5ded2af4fb06e87625e673b27dc6f0.setIcon(icon_4454e5a449ef76363e8c607b2feda4d8);\n",
+       "            marker_d7bde3f96fe205f87adf5f72438f53eb.setIcon(icon_42d9b533d0d293e3b6e9511c620e40a5);\n",
        "        \n",
        "    \n",
-       "        var popup_0088412bf94b93dff3cf44d858adb78b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c74fd0807e9fbb96db4eb1da9be820c7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d49beff360e91ba257d47aa080c0e52b = $(`&lt;div id=&quot;html_d49beff360e91ba257d47aa080c0e52b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TWCERT/CC&lt;/b&gt; &lt;br&gt;https://www.twcert.org.tw/tw/lp-132-1.html&lt;/div&gt;`)[0];\n",
-       "                popup_0088412bf94b93dff3cf44d858adb78b.setContent(html_d49beff360e91ba257d47aa080c0e52b);\n",
+       "                var html_807983d40b164dcb2ca4da0f5c81eff1 = $(`&lt;div id=&quot;html_807983d40b164dcb2ca4da0f5c81eff1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TWCERT/CC&lt;/b&gt; &lt;br&gt;https://www.twcert.org.tw/tw/lp-132-1.html&lt;/div&gt;`)[0];\n",
+       "                popup_c74fd0807e9fbb96db4eb1da9be820c7.setContent(html_807983d40b164dcb2ca4da0f5c81eff1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4b5ded2af4fb06e87625e673b27dc6f0.bindPopup(popup_0088412bf94b93dff3cf44d858adb78b)\n",
+       "        marker_d7bde3f96fe205f87adf5f72438f53eb.bindPopup(popup_c74fd0807e9fbb96db4eb1da9be820c7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d65e67f231ea80e546553283249f5643 = L.marker(\n",
+       "            var marker_47fc03693d87c3804fdc42950299b3f3 = L.marker(\n",
        "                [63.2467777, 25.9209164],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3a8ce17313af5a954f7dfec213f5fe72 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f9d1574da1f5ef90b05ea981e8534011 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d65e67f231ea80e546553283249f5643.setIcon(icon_3a8ce17313af5a954f7dfec213f5fe72);\n",
+       "            marker_47fc03693d87c3804fdc42950299b3f3.setIcon(icon_f9d1574da1f5ef90b05ea981e8534011);\n",
        "        \n",
        "    \n",
-       "        var popup_313c3a2323e1f227568cfb4f8c585981 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_26bf14cdd80f10cb15b2880701fd9360 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0baabb604311183af233df18c6fd9e2a = $(`&lt;div id=&quot;html_0baabb604311183af233df18c6fd9e2a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Vaadin Ltd.&lt;/b&gt; &lt;br&gt;https://vaadin.com/security&lt;/div&gt;`)[0];\n",
-       "                popup_313c3a2323e1f227568cfb4f8c585981.setContent(html_0baabb604311183af233df18c6fd9e2a);\n",
+       "                var html_1da964ed9604a5a554aa4d1d85e3b5b3 = $(`&lt;div id=&quot;html_1da964ed9604a5a554aa4d1d85e3b5b3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Vaadin Ltd.&lt;/b&gt; &lt;br&gt;https://vaadin.com/security&lt;/div&gt;`)[0];\n",
+       "                popup_26bf14cdd80f10cb15b2880701fd9360.setContent(html_1da964ed9604a5a554aa4d1d85e3b5b3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d65e67f231ea80e546553283249f5643.bindPopup(popup_313c3a2323e1f227568cfb4f8c585981)\n",
+       "        marker_47fc03693d87c3804fdc42950299b3f3.bindPopup(popup_26bf14cdd80f10cb15b2880701fd9360)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_70e440429f28cb4ee5b413fdec4d7658 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_c1d2a17b1c091e8eb1593f2127db6cdf = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_fbd57365a07b7440b486d974488d1d19 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7f9214449cb9ed2ab6137133ffae178e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_70e440429f28cb4ee5b413fdec4d7658.setIcon(icon_fbd57365a07b7440b486d974488d1d19);\n",
+       "            marker_c1d2a17b1c091e8eb1593f2127db6cdf.setIcon(icon_7f9214449cb9ed2ab6137133ffae178e);\n",
        "        \n",
        "    \n",
-       "        var popup_6c370428fc223fa9615fae6597f84207 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d27ca8869665c0b8154e62834a3192b4 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8b4fd5466110ede1023eec040f69ac7e = $(`&lt;div id=&quot;html_8b4fd5466110ede1023eec040f69ac7e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Vivo Mobile Communication Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.vivo.com/en/activity/security-advisory&lt;/div&gt;`)[0];\n",
-       "                popup_6c370428fc223fa9615fae6597f84207.setContent(html_8b4fd5466110ede1023eec040f69ac7e);\n",
+       "                var html_760a3fb27960cd49c6e903d14cd00c40 = $(`&lt;div id=&quot;html_760a3fb27960cd49c6e903d14cd00c40&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Vivo Mobile Communication Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.vivo.com/en/activity/security-advisory&lt;/div&gt;`)[0];\n",
+       "                popup_d27ca8869665c0b8154e62834a3192b4.setContent(html_760a3fb27960cd49c6e903d14cd00c40);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_70e440429f28cb4ee5b413fdec4d7658.bindPopup(popup_6c370428fc223fa9615fae6597f84207)\n",
+       "        marker_c1d2a17b1c091e8eb1593f2127db6cdf.bindPopup(popup_d27ca8869665c0b8154e62834a3192b4)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6bc7b0c55d23b28695e1dd79d4ba79f0 = L.marker(\n",
+       "            var marker_70e29aa29f40feddc5e1b53c45a137ef = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_007e2312e7e6573a1c12d824d07f993e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b467a1e7aadfa2404d1b115c0af414d1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6bc7b0c55d23b28695e1dd79d4ba79f0.setIcon(icon_007e2312e7e6573a1c12d824d07f993e);\n",
+       "            marker_70e29aa29f40feddc5e1b53c45a137ef.setIcon(icon_b467a1e7aadfa2404d1b115c0af414d1);\n",
        "        \n",
        "    \n",
-       "        var popup_82907e72a03070a2e2b31b80885133e0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7191daa6bd0d3f5e649a727469525848 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e5a20e68d4e7e4e020d1cae82edaca3c = $(`&lt;div id=&quot;html_e5a20e68d4e7e4e020d1cae82edaca3c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VMware&lt;/b&gt; &lt;br&gt;https://www.vmware.com/security/advisories.html&lt;/div&gt;`)[0];\n",
-       "                popup_82907e72a03070a2e2b31b80885133e0.setContent(html_e5a20e68d4e7e4e020d1cae82edaca3c);\n",
+       "                var html_296a20e526fbcfcc618ebb508a58551a = $(`&lt;div id=&quot;html_296a20e526fbcfcc618ebb508a58551a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VMware by Broadcom&lt;/b&gt; &lt;br&gt;https://www.broadcom.com/support/vmware-security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_7191daa6bd0d3f5e649a727469525848.setContent(html_296a20e526fbcfcc618ebb508a58551a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6bc7b0c55d23b28695e1dd79d4ba79f0.bindPopup(popup_82907e72a03070a2e2b31b80885133e0)\n",
+       "        marker_70e29aa29f40feddc5e1b53c45a137ef.bindPopup(popup_7191daa6bd0d3f5e649a727469525848)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b1ca35fa79f9b734baf9bccf5c5b1e64 = L.marker(\n",
+       "            var marker_f1c6cc5160da9352a5ef891936b16dd9 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_109c299513f6f2bae8f6166069f635e9 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_394881d853a93466f4d2a1f2a7bbf05e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b1ca35fa79f9b734baf9bccf5c5b1e64.setIcon(icon_109c299513f6f2bae8f6166069f635e9);\n",
+       "            marker_f1c6cc5160da9352a5ef891936b16dd9.setIcon(icon_394881d853a93466f4d2a1f2a7bbf05e);\n",
        "        \n",
        "    \n",
-       "        var popup_2cc0e649b63a345a9576276ef7bb3100 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_db4bc71cfccfd6a63c5a1d2c53995566 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_155aa4d810efe0d1b1347e6c57b391b8 = $(`&lt;div id=&quot;html_155aa4d810efe0d1b1347e6c57b391b8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mend&lt;/b&gt; &lt;br&gt;https://www.mend.io/vulnerability-database/&lt;/div&gt;`)[0];\n",
-       "                popup_2cc0e649b63a345a9576276ef7bb3100.setContent(html_155aa4d810efe0d1b1347e6c57b391b8);\n",
+       "                var html_db9383379ca473f1e838224ed916c032 = $(`&lt;div id=&quot;html_db9383379ca473f1e838224ed916c032&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mend&lt;/b&gt; &lt;br&gt;https://www.mend.io/vulnerability-database/&lt;/div&gt;`)[0];\n",
+       "                popup_db4bc71cfccfd6a63c5a1d2c53995566.setContent(html_db9383379ca473f1e838224ed916c032);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b1ca35fa79f9b734baf9bccf5c5b1e64.bindPopup(popup_2cc0e649b63a345a9576276ef7bb3100)\n",
+       "        marker_f1c6cc5160da9352a5ef891936b16dd9.bindPopup(popup_db4bc71cfccfd6a63c5a1d2c53995566)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f3c88895dbc6f4d114b0b4b416619c17 = L.marker(\n",
+       "            var marker_5edad6e365ba63cfe92cc6eb95d28ed2 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d3b1b03c95316d3a735f0605139429d9 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0cc50117f51137809c6618f77ceaa55c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f3c88895dbc6f4d114b0b4b416619c17.setIcon(icon_d3b1b03c95316d3a735f0605139429d9);\n",
+       "            marker_5edad6e365ba63cfe92cc6eb95d28ed2.setIcon(icon_0cc50117f51137809c6618f77ceaa55c);\n",
        "        \n",
        "    \n",
-       "        var popup_fca77e772f3dd2fe8fa7accf856519bc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0d854eb9f1c6247c19dad4151029fe59 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d7c40fcb71e04655e7941666d56d35bb = $(`&lt;div id=&quot;html_d7c40fcb71e04655e7941666d56d35bb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Wordfence&lt;/b&gt; &lt;br&gt;https://www.wordfence.com/blog/category/vulnerabilities/&lt;/div&gt;`)[0];\n",
-       "                popup_fca77e772f3dd2fe8fa7accf856519bc.setContent(html_d7c40fcb71e04655e7941666d56d35bb);\n",
+       "                var html_dee94fe84a7815c83782ab491d403393 = $(`&lt;div id=&quot;html_dee94fe84a7815c83782ab491d403393&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Wordfence&lt;/b&gt; &lt;br&gt;https://www.wordfence.com/blog/category/vulnerabilities/&lt;/div&gt;`)[0];\n",
+       "                popup_0d854eb9f1c6247c19dad4151029fe59.setContent(html_dee94fe84a7815c83782ab491d403393);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f3c88895dbc6f4d114b0b4b416619c17.bindPopup(popup_fca77e772f3dd2fe8fa7accf856519bc)\n",
+       "        marker_5edad6e365ba63cfe92cc6eb95d28ed2.bindPopup(popup_0d854eb9f1c6247c19dad4151029fe59)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_141d5da32394e039138c58ee52bf491a = L.marker(\n",
+       "            var marker_e30b3ba51927dc9beab7ff53a0209931 = L.marker(\n",
        "                [46.603354, 1.8883335],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7977976f8268d2217c8967f5f8068f04 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9253fbc706d29f774033f1279f70b254 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_141d5da32394e039138c58ee52bf491a.setIcon(icon_7977976f8268d2217c8967f5f8068f04);\n",
+       "            marker_e30b3ba51927dc9beab7ff53a0209931.setIcon(icon_9253fbc706d29f774033f1279f70b254);\n",
        "        \n",
        "    \n",
-       "        var popup_6fc1d78edc69760228d3ec457be5e506 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0e7d40c914921c853ef346b5dda9f682 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ae0107deeac92085dabefc539a520875 = $(`&lt;div id=&quot;html_ae0107deeac92085dabefc539a520875&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;WPScan&lt;/b&gt; &lt;br&gt;https://wpscan.com/wordpresses&lt;/div&gt;`)[0];\n",
-       "                popup_6fc1d78edc69760228d3ec457be5e506.setContent(html_ae0107deeac92085dabefc539a520875);\n",
+       "                var html_47f118a5bd6c1e539f126ade6d15868f = $(`&lt;div id=&quot;html_47f118a5bd6c1e539f126ade6d15868f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;WPScan&lt;/b&gt; &lt;br&gt;https://wpscan.com/wordpresses&lt;/div&gt;`)[0];\n",
+       "                popup_0e7d40c914921c853ef346b5dda9f682.setContent(html_47f118a5bd6c1e539f126ade6d15868f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_141d5da32394e039138c58ee52bf491a.bindPopup(popup_6fc1d78edc69760228d3ec457be5e506)\n",
+       "        marker_e30b3ba51927dc9beab7ff53a0209931.bindPopup(popup_0e7d40c914921c853ef346b5dda9f682)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_445c85a86eae90d85a374729b4a84289 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_8faeead3edefd8bfc6674ae2cdcb748e = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b778551251316500b0bcf3d4795a7c8e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ed845c0ff0d22f914010d6c69d3866df = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_445c85a86eae90d85a374729b4a84289.setIcon(icon_b778551251316500b0bcf3d4795a7c8e);\n",
+       "            marker_8faeead3edefd8bfc6674ae2cdcb748e.setIcon(icon_ed845c0ff0d22f914010d6c69d3866df);\n",
        "        \n",
        "    \n",
-       "        var popup_4e00e2e4e91cfb6a22691c7c7140521f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1b36bff57241bc0cd53ad1c615174cf7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5274a5e8b0f33e58dbac80f7fac4cd2b = $(`&lt;div id=&quot;html_5274a5e8b0f33e58dbac80f7fac4cd2b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Xen Project&lt;/b&gt; &lt;br&gt;https://xenbits.xen.org/xsa/&lt;/div&gt;`)[0];\n",
-       "                popup_4e00e2e4e91cfb6a22691c7c7140521f.setContent(html_5274a5e8b0f33e58dbac80f7fac4cd2b);\n",
+       "                var html_12dbb7c7c97d2d77f251e7ca45913a95 = $(`&lt;div id=&quot;html_12dbb7c7c97d2d77f251e7ca45913a95&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Xen Project&lt;/b&gt; &lt;br&gt;https://xenbits.xen.org/xsa/&lt;/div&gt;`)[0];\n",
+       "                popup_1b36bff57241bc0cd53ad1c615174cf7.setContent(html_12dbb7c7c97d2d77f251e7ca45913a95);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_445c85a86eae90d85a374729b4a84289.bindPopup(popup_4e00e2e4e91cfb6a22691c7c7140521f)\n",
+       "        marker_8faeead3edefd8bfc6674ae2cdcb748e.bindPopup(popup_1b36bff57241bc0cd53ad1c615174cf7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_bfce8871af61030d49bea7ce711b7e61 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_942d7af3b2328e0f75f1470894698054 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c87f964a4415f670d4edd3b021308fdd = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c3c689a430be20ef0c6dfefdc36f2829 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_bfce8871af61030d49bea7ce711b7e61.setIcon(icon_c87f964a4415f670d4edd3b021308fdd);\n",
+       "            marker_942d7af3b2328e0f75f1470894698054.setIcon(icon_c3c689a430be20ef0c6dfefdc36f2829);\n",
        "        \n",
        "    \n",
-       "        var popup_73bb9000f2dc8fe6028aada51783054f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_17df50c2cd6f9c767f2743340bd99d59 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_88db088df90f7f407e9724503f23ea82 = $(`&lt;div id=&quot;html_88db088df90f7f407e9724503f23ea82&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Xiaomi Technology Co., Ltd.&lt;/b&gt; &lt;br&gt;https://trust.mi.com/misrc/bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_73bb9000f2dc8fe6028aada51783054f.setContent(html_88db088df90f7f407e9724503f23ea82);\n",
+       "                var html_8426058815264d54c08b8cd703d260f1 = $(`&lt;div id=&quot;html_8426058815264d54c08b8cd703d260f1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Xiaomi Technology Co., Ltd.&lt;/b&gt; &lt;br&gt;https://trust.mi.com/misrc/bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_17df50c2cd6f9c767f2743340bd99d59.setContent(html_8426058815264d54c08b8cd703d260f1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_bfce8871af61030d49bea7ce711b7e61.bindPopup(popup_73bb9000f2dc8fe6028aada51783054f)\n",
+       "        marker_942d7af3b2328e0f75f1470894698054.bindPopup(popup_17df50c2cd6f9c767f2743340bd99d59)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_495006f796ea23801ccd5a519d4ab282 = L.marker(\n",
+       "            var marker_f5557511ba070cbb1d9ae3781e3d5225 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_89064066eebf826fe953a3c282dcf74e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_84c7341fea47128599761d3ce443ecf7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_495006f796ea23801ccd5a519d4ab282.setIcon(icon_89064066eebf826fe953a3c282dcf74e);\n",
+       "            marker_f5557511ba070cbb1d9ae3781e3d5225.setIcon(icon_84c7341fea47128599761d3ce443ecf7);\n",
        "        \n",
        "    \n",
-       "        var popup_7ffaded9bf15906a29a3bcab8cb85f0d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b48a993857cf43c2163fd321708febee = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_999a7174c6f1827f73e810a65c3a89d1 = $(`&lt;div id=&quot;html_999a7174c6f1827f73e810a65c3a89d1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Xylem&lt;/b&gt; &lt;br&gt;https://www.xylem.com/en-us/about-xylem/cybersecurity/advisories?page=1&amp;pagesize=24&amp;categories=1324&lt;/div&gt;`)[0];\n",
-       "                popup_7ffaded9bf15906a29a3bcab8cb85f0d.setContent(html_999a7174c6f1827f73e810a65c3a89d1);\n",
+       "                var html_b93757cddf2ac223095fb905b52928ef = $(`&lt;div id=&quot;html_b93757cddf2ac223095fb905b52928ef&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Xylem&lt;/b&gt; &lt;br&gt;https://www.xylem.com/en-us/about-xylem/cybersecurity/advisories?page=1&amp;pagesize=24&amp;categories=1324&lt;/div&gt;`)[0];\n",
+       "                popup_b48a993857cf43c2163fd321708febee.setContent(html_b93757cddf2ac223095fb905b52928ef);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_495006f796ea23801ccd5a519d4ab282.bindPopup(popup_7ffaded9bf15906a29a3bcab8cb85f0d)\n",
+       "        marker_f5557511ba070cbb1d9ae3781e3d5225.bindPopup(popup_b48a993857cf43c2163fd321708febee)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a03811afdf60e4d3952aa1b1403dfd6d = L.marker(\n",
+       "            var marker_109209af2f6963689ec6cfe983005fd7 = L.marker(\n",
        "                [64.6863136, 97.7453061],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cecb9d527a16aa45c393a066b4096504 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_38cd081032042194aed456bf6512f87e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a03811afdf60e4d3952aa1b1403dfd6d.setIcon(icon_cecb9d527a16aa45c393a066b4096504);\n",
+       "            marker_109209af2f6963689ec6cfe983005fd7.setIcon(icon_38cd081032042194aed456bf6512f87e);\n",
        "        \n",
        "    \n",
-       "        var popup_36bae4527bcdbe324a8914630d74ce64 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ad116c5e7189b2484c40955d09711ad2 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4c8f2a0883503993f30bcbb03067a92b = $(`&lt;div id=&quot;html_4c8f2a0883503993f30bcbb03067a92b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Yandex N.V.&lt;/b&gt; &lt;br&gt;https://cloud.yandex.com/docs/overview/security-bulletins/&lt;/div&gt;`)[0];\n",
-       "                popup_36bae4527bcdbe324a8914630d74ce64.setContent(html_4c8f2a0883503993f30bcbb03067a92b);\n",
+       "                var html_59bfbe0326c5f61846b242745b5b5d92 = $(`&lt;div id=&quot;html_59bfbe0326c5f61846b242745b5b5d92&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Yandex N.V.&lt;/b&gt; &lt;br&gt;https://cloud.yandex.com/docs/overview/security-bulletins/&lt;/div&gt;`)[0];\n",
+       "                popup_ad116c5e7189b2484c40955d09711ad2.setContent(html_59bfbe0326c5f61846b242745b5b5d92);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a03811afdf60e4d3952aa1b1403dfd6d.bindPopup(popup_36bae4527bcdbe324a8914630d74ce64)\n",
+       "        marker_109209af2f6963689ec6cfe983005fd7.bindPopup(popup_ad116c5e7189b2484c40955d09711ad2)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_bdf55fea8b419c9d1bbc0be4f53ad359 = L.marker(\n",
+       "            var marker_fe409bd1632f0df6146a28adce4fac0b = L.marker(\n",
        "                [56.8406494, 24.7537645],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3104f01bb773d6a0dd204496fa737514 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_af0544a4104b95c28b5d37d97e00bc37 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_bdf55fea8b419c9d1bbc0be4f53ad359.setIcon(icon_3104f01bb773d6a0dd204496fa737514);\n",
+       "            marker_fe409bd1632f0df6146a28adce4fac0b.setIcon(icon_af0544a4104b95c28b5d37d97e00bc37);\n",
        "        \n",
        "    \n",
-       "        var popup_0178d9efdb93e173d749be67e890682f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c400951f1dab213f0d420d7c43081cd0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_564e87839935149edf9123d9b0b38153 = $(`&lt;div id=&quot;html_564e87839935149edf9123d9b0b38153&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zabbix&lt;/b&gt; &lt;br&gt;https://support.zabbix.com/projects/ZBX/issues/&lt;/div&gt;`)[0];\n",
-       "                popup_0178d9efdb93e173d749be67e890682f.setContent(html_564e87839935149edf9123d9b0b38153);\n",
+       "                var html_06a90a844be38e9f8642e69e464e7b04 = $(`&lt;div id=&quot;html_06a90a844be38e9f8642e69e464e7b04&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zabbix&lt;/b&gt; &lt;br&gt;https://support.zabbix.com/projects/ZBX/issues/&lt;/div&gt;`)[0];\n",
+       "                popup_c400951f1dab213f0d420d7c43081cd0.setContent(html_06a90a844be38e9f8642e69e464e7b04);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_bdf55fea8b419c9d1bbc0be4f53ad359.bindPopup(popup_0178d9efdb93e173d749be67e890682f)\n",
+       "        marker_fe409bd1632f0df6146a28adce4fac0b.bindPopup(popup_c400951f1dab213f0d420d7c43081cd0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_169578909cb0ccb55e10dec9e4ede460 = L.marker(\n",
+       "            var marker_705af8d4bb504afb157b14fc3ac56955 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c80d641cf70efb1a1d220911eec23455 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d03daaa3812f75d287c0073e76f49110 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_169578909cb0ccb55e10dec9e4ede460.setIcon(icon_c80d641cf70efb1a1d220911eec23455);\n",
+       "            marker_705af8d4bb504afb157b14fc3ac56955.setIcon(icon_d03daaa3812f75d287c0073e76f49110);\n",
        "        \n",
        "    \n",
-       "        var popup_1b4f625aff66cea2c8a0506608f1c82b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_af3a331cb558954ceeb733707f1a81ee = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_eff5160e8a7e54836caa5f87ec6a4661 = $(`&lt;div id=&quot;html_eff5160e8a7e54836caa5f87ec6a4661&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zephyr Project&lt;/b&gt; &lt;br&gt;https://docs.zephyrproject.org/latest/security/vulnerabilities.html&lt;/div&gt;`)[0];\n",
-       "                popup_1b4f625aff66cea2c8a0506608f1c82b.setContent(html_eff5160e8a7e54836caa5f87ec6a4661);\n",
+       "                var html_c6717eb4a559cd79569021c207b4d4d3 = $(`&lt;div id=&quot;html_c6717eb4a559cd79569021c207b4d4d3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zephyr Project&lt;/b&gt; &lt;br&gt;https://docs.zephyrproject.org/latest/security/vulnerabilities.html&lt;/div&gt;`)[0];\n",
+       "                popup_af3a331cb558954ceeb733707f1a81ee.setContent(html_c6717eb4a559cd79569021c207b4d4d3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_169578909cb0ccb55e10dec9e4ede460.bindPopup(popup_1b4f625aff66cea2c8a0506608f1c82b)\n",
+       "        marker_705af8d4bb504afb157b14fc3ac56955.bindPopup(popup_af3a331cb558954ceeb733707f1a81ee)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7eb7da84afe3a6363f2939fcb052a6c2 = L.marker(\n",
+       "            var marker_b66c7025ecc38c5735f056496591b946 = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_fd0f822e6e3eda9c256536afc53ef057 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_59ef078f79b23f2b13738389df30ea12 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7eb7da84afe3a6363f2939fcb052a6c2.setIcon(icon_fd0f822e6e3eda9c256536afc53ef057);\n",
+       "            marker_b66c7025ecc38c5735f056496591b946.setIcon(icon_59ef078f79b23f2b13738389df30ea12);\n",
        "        \n",
        "    \n",
-       "        var popup_905290488abd47e79c890834f104bdc1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_99fa5e1f03ec540a8414c7e83cd43bc5 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b54da2448c197fb1b1795fb63f77872b = $(`&lt;div id=&quot;html_b54da2448c197fb1b1795fb63f77872b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zero Day Initiative&lt;/b&gt; &lt;br&gt;https://www.zerodayinitiative.com/advisories/published/&lt;/div&gt;`)[0];\n",
-       "                popup_905290488abd47e79c890834f104bdc1.setContent(html_b54da2448c197fb1b1795fb63f77872b);\n",
+       "                var html_9cbff28a41704c33edced8e4aeefa9dd = $(`&lt;div id=&quot;html_9cbff28a41704c33edced8e4aeefa9dd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zero Day Initiative&lt;/b&gt; &lt;br&gt;https://www.zerodayinitiative.com/advisories/published/&lt;/div&gt;`)[0];\n",
+       "                popup_99fa5e1f03ec540a8414c7e83cd43bc5.setContent(html_9cbff28a41704c33edced8e4aeefa9dd);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7eb7da84afe3a6363f2939fcb052a6c2.bindPopup(popup_905290488abd47e79c890834f104bdc1)\n",
+       "        marker_b66c7025ecc38c5735f056496591b946.bindPopup(popup_99fa5e1f03ec540a8414c7e83cd43bc5)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_5519f25eea50634c37882167c02cde6b = L.marker(\n",
+       "            var marker_b5731cd4faf37169afe76ceeabac093c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6afce69eb4fa35c0dd23ccdfd4a3ad80 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_10c4acdd9a8dbbeec893f59e02a63647 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_5519f25eea50634c37882167c02cde6b.setIcon(icon_6afce69eb4fa35c0dd23ccdfd4a3ad80);\n",
+       "            marker_b5731cd4faf37169afe76ceeabac093c.setIcon(icon_10c4acdd9a8dbbeec893f59e02a63647);\n",
        "        \n",
        "    \n",
-       "        var popup_58a8a24a5dcbc8bd3bdf51d47ad9546f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_48e80f736de7e513b8d1151d6b02da62 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_cb19fbb84766ad5b64ba8e955e9bbfd8 = $(`&lt;div id=&quot;html_cb19fbb84766ad5b64ba8e955e9bbfd8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zoom Video Communications, Inc.&lt;/b&gt; &lt;br&gt;https://zoom.us/trust/security/security-bulletin&lt;/div&gt;`)[0];\n",
-       "                popup_58a8a24a5dcbc8bd3bdf51d47ad9546f.setContent(html_cb19fbb84766ad5b64ba8e955e9bbfd8);\n",
+       "                var html_e785b51ed166d292038e65721fa0beae = $(`&lt;div id=&quot;html_e785b51ed166d292038e65721fa0beae&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zoom Video Communications, Inc.&lt;/b&gt; &lt;br&gt;https://zoom.us/trust/security/security-bulletin&lt;/div&gt;`)[0];\n",
+       "                popup_48e80f736de7e513b8d1151d6b02da62.setContent(html_e785b51ed166d292038e65721fa0beae);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_5519f25eea50634c37882167c02cde6b.bindPopup(popup_58a8a24a5dcbc8bd3bdf51d47ad9546f)\n",
+       "        marker_b5731cd4faf37169afe76ceeabac093c.bindPopup(popup_48e80f736de7e513b8d1151d6b02da62)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_33b6589dede254cc096221e9dd09325b = L.marker(\n",
+       "            var marker_64b8edd992681d42bce8a514d4f570f1 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1dedd178768c5e4ebaaa989f561b847d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_000b39b76f82d501ae9cc3aedc45635c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_33b6589dede254cc096221e9dd09325b.setIcon(icon_1dedd178768c5e4ebaaa989f561b847d);\n",
+       "            marker_64b8edd992681d42bce8a514d4f570f1.setIcon(icon_000b39b76f82d501ae9cc3aedc45635c);\n",
        "        \n",
        "    \n",
-       "        var popup_4f6c5cf40e77b16a506fe8097f8accd6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_37eb1fb38bdf25e1348cf5a11810a22f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ac9e98b5f265fb8212b92328ef4ff155 = $(`&lt;div id=&quot;html_ac9e98b5f265fb8212b92328ef4ff155&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zscaler, Inc.&lt;/b&gt; &lt;br&gt;https://trust.zscaler.com/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_4f6c5cf40e77b16a506fe8097f8accd6.setContent(html_ac9e98b5f265fb8212b92328ef4ff155);\n",
+       "                var html_4096f6b6f48eebf1cb4b4fa1c54ff030 = $(`&lt;div id=&quot;html_4096f6b6f48eebf1cb4b4fa1c54ff030&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zscaler, Inc.&lt;/b&gt; &lt;br&gt;https://trust.zscaler.com/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_37eb1fb38bdf25e1348cf5a11810a22f.setContent(html_4096f6b6f48eebf1cb4b4fa1c54ff030);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_33b6589dede254cc096221e9dd09325b.bindPopup(popup_4f6c5cf40e77b16a506fe8097f8accd6)\n",
+       "        marker_64b8edd992681d42bce8a514d4f570f1.bindPopup(popup_37eb1fb38bdf25e1348cf5a11810a22f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_099ecc1b33c38ac10f2e67ea97ed2da8 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_13677e07f79be618470b3041655d505d = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_add822948ccc7282525301d4349ee845 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5d1406676bfe2011c9ab86b5b92915b7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_099ecc1b33c38ac10f2e67ea97ed2da8.setIcon(icon_add822948ccc7282525301d4349ee845);\n",
+       "            marker_13677e07f79be618470b3041655d505d.setIcon(icon_5d1406676bfe2011c9ab86b5b92915b7);\n",
        "        \n",
        "    \n",
-       "        var popup_97dddf608d6747aee71025ad360f6484 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2c1509c8f1992d1f30fe1da03268ac83 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_69e796979d87fad67eebbc4e3829e1c1 = $(`&lt;div id=&quot;html_69e796979d87fad67eebbc4e3829e1c1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ZTE Corporation&lt;/b&gt; &lt;br&gt;http://support.zte.com.cn/support/news/NewsMain.aspx&lt;/div&gt;`)[0];\n",
-       "                popup_97dddf608d6747aee71025ad360f6484.setContent(html_69e796979d87fad67eebbc4e3829e1c1);\n",
+       "                var html_f03e028f778713e1d3237b4780b39776 = $(`&lt;div id=&quot;html_f03e028f778713e1d3237b4780b39776&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ZTE Corporation&lt;/b&gt; &lt;br&gt;http://support.zte.com.cn/support/news/NewsMain.aspx&lt;/div&gt;`)[0];\n",
+       "                popup_2c1509c8f1992d1f30fe1da03268ac83.setContent(html_f03e028f778713e1d3237b4780b39776);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_099ecc1b33c38ac10f2e67ea97ed2da8.bindPopup(popup_97dddf608d6747aee71025ad360f6484)\n",
+       "        marker_13677e07f79be618470b3041655d505d.bindPopup(popup_2c1509c8f1992d1f30fe1da03268ac83)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f9453099fd8b77602600b8f045efbbef = L.marker(\n",
+       "            var marker_b317111735dd0098dbaf8fe7d940af8c = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_045849ae411db6c85d9aaae63c2ce868 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d1144390c73a99949f87c2c77339e6d9 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f9453099fd8b77602600b8f045efbbef.setIcon(icon_045849ae411db6c85d9aaae63c2ce868);\n",
+       "            marker_b317111735dd0098dbaf8fe7d940af8c.setIcon(icon_d1144390c73a99949f87c2c77339e6d9);\n",
        "        \n",
        "    \n",
-       "        var popup_5619c9df1d39ccfa461b2823e449c55b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5087f033de30c225950557be9fb4ad6a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_87286e7e6102a3b208db43785e98ef5a = $(`&lt;div id=&quot;html_87286e7e6102a3b208db43785e98ef5a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zyxel Corporation&lt;/b&gt; &lt;br&gt;https://www.zyxel.com/support/security_advisories.shtml&lt;/div&gt;`)[0];\n",
-       "                popup_5619c9df1d39ccfa461b2823e449c55b.setContent(html_87286e7e6102a3b208db43785e98ef5a);\n",
+       "                var html_23d541f41eca537d9a3873737813107b = $(`&lt;div id=&quot;html_23d541f41eca537d9a3873737813107b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zyxel Corporation&lt;/b&gt; &lt;br&gt;https://www.zyxel.com/support/security_advisories.shtml&lt;/div&gt;`)[0];\n",
+       "                popup_5087f033de30c225950557be9fb4ad6a.setContent(html_23d541f41eca537d9a3873737813107b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f9453099fd8b77602600b8f045efbbef.bindPopup(popup_5619c9df1d39ccfa461b2823e449c55b)\n",
+       "        marker_b317111735dd0098dbaf8fe7d940af8c.bindPopup(popup_5087f033de30c225950557be9fb4ad6a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8252b417660a4f9e295f6ef09c0e4190 = L.marker(\n",
+       "            var marker_3b4546057b518c77218d8137d318d7ec = L.marker(\n",
        "                [59.6749712, 14.5208584],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_dbff8a86e98e1f077b73be7105d6fe8d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d7ae23267765670bd6d0db91173860c1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8252b417660a4f9e295f6ef09c0e4190.setIcon(icon_dbff8a86e98e1f077b73be7105d6fe8d);\n",
+       "            marker_3b4546057b518c77218d8137d318d7ec.setIcon(icon_d7ae23267765670bd6d0db91173860c1);\n",
        "        \n",
        "    \n",
-       "        var popup_1590c2af1e0f45b37dc724ed65ed64a2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ff0a2259861a0ae5900a639c6c49ef4c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_697578af5ab4617fb9a3403198f912f5 = $(`&lt;div id=&quot;html_697578af5ab4617fb9a3403198f912f5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Snow Software&lt;/b&gt; &lt;br&gt;https://community.snowsoftware.com/s/group/0F91r000000QUhPCAW/news-updates&lt;/div&gt;`)[0];\n",
-       "                popup_1590c2af1e0f45b37dc724ed65ed64a2.setContent(html_697578af5ab4617fb9a3403198f912f5);\n",
+       "                var html_5b331bb1e734638aaf2adb7477a7511b = $(`&lt;div id=&quot;html_5b331bb1e734638aaf2adb7477a7511b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Snow Software&lt;/b&gt; &lt;br&gt;https://community.snowsoftware.com/s/group/0F91r000000QUhPCAW/news-updates&lt;/div&gt;`)[0];\n",
+       "                popup_ff0a2259861a0ae5900a639c6c49ef4c.setContent(html_5b331bb1e734638aaf2adb7477a7511b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8252b417660a4f9e295f6ef09c0e4190.bindPopup(popup_1590c2af1e0f45b37dc724ed65ed64a2)\n",
+       "        marker_3b4546057b518c77218d8137d318d7ec.bindPopup(popup_ff0a2259861a0ae5900a639c6c49ef4c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a3db9e3973625df61f04963b56e9a5f1 = L.marker(\n",
+       "            var marker_2952b0b3a099f49d1031c1521c1d6cb0 = L.marker(\n",
        "                [36.638392, 127.6961188],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a686d4bd6dee8341484c97dd03b5a917 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ce5e24349a86b341f79bdc12c2505274 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a3db9e3973625df61f04963b56e9a5f1.setIcon(icon_a686d4bd6dee8341484c97dd03b5a917);\n",
+       "            marker_2952b0b3a099f49d1031c1521c1d6cb0.setIcon(icon_ce5e24349a86b341f79bdc12c2505274);\n",
        "        \n",
        "    \n",
-       "        var popup_c4c8fbe4f374ff3f02fa872fb907a68f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_241c63b07e8a6b8f1dd7da1b00087226 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_54432ed28b375d533f4e08c348bedeba = $(`&lt;div id=&quot;html_54432ed28b375d533f4e08c348bedeba&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;LG Electronics&lt;/b&gt; &lt;br&gt;https://lgsecurity.lge.com/bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_c4c8fbe4f374ff3f02fa872fb907a68f.setContent(html_54432ed28b375d533f4e08c348bedeba);\n",
+       "                var html_b75636ca6398c50704abef6951f0a80f = $(`&lt;div id=&quot;html_b75636ca6398c50704abef6951f0a80f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;LG Electronics&lt;/b&gt; &lt;br&gt;https://lgsecurity.lge.com/bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_241c63b07e8a6b8f1dd7da1b00087226.setContent(html_b75636ca6398c50704abef6951f0a80f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a3db9e3973625df61f04963b56e9a5f1.bindPopup(popup_c4c8fbe4f374ff3f02fa872fb907a68f)\n",
+       "        marker_2952b0b3a099f49d1031c1521c1d6cb0.bindPopup(popup_241c63b07e8a6b8f1dd7da1b00087226)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f3a3556b10522db80071a4c6d512d5f5 = L.marker(\n",
+       "            var marker_de3695354e7cff1db69e6f563b90a4ce = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c3f02a424be39abf94dd86acdd76d922 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d2c4341486a9741601a9332a361af4b6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f3a3556b10522db80071a4c6d512d5f5.setIcon(icon_c3f02a424be39abf94dd86acdd76d922);\n",
+       "            marker_de3695354e7cff1db69e6f563b90a4ce.setIcon(icon_d2c4341486a9741601a9332a361af4b6);\n",
        "        \n",
        "    \n",
-       "        var popup_09ed27023924be27d595bf044b47f7ca = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ca6a6c720e65317d84cde1bc6d19f930 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_46a33c87a52e3847e8f925404d4e856d = $(`&lt;div id=&quot;html_46a33c87a52e3847e8f925404d4e856d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Censys&lt;/b&gt; &lt;br&gt;https://censys.io/blog&lt;/div&gt;`)[0];\n",
-       "                popup_09ed27023924be27d595bf044b47f7ca.setContent(html_46a33c87a52e3847e8f925404d4e856d);\n",
+       "                var html_1ec789dc642fe33ba693b62e3d45e894 = $(`&lt;div id=&quot;html_1ec789dc642fe33ba693b62e3d45e894&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Censys&lt;/b&gt; &lt;br&gt;https://censys.io/blog&lt;/div&gt;`)[0];\n",
+       "                popup_ca6a6c720e65317d84cde1bc6d19f930.setContent(html_1ec789dc642fe33ba693b62e3d45e894);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f3a3556b10522db80071a4c6d512d5f5.bindPopup(popup_09ed27023924be27d595bf044b47f7ca)\n",
+       "        marker_de3695354e7cff1db69e6f563b90a4ce.bindPopup(popup_ca6a6c720e65317d84cde1bc6d19f930)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_361b7c944bc0cb537a5bb9c0583602fd = L.marker(\n",
+       "            var marker_d86df0b4046cea8a89ef79afa78c9564 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_96a8cf6283400fa70112ce164a07e32c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e5c3d8736bca00c06685f84f1ded8639 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_361b7c944bc0cb537a5bb9c0583602fd.setIcon(icon_96a8cf6283400fa70112ce164a07e32c);\n",
+       "            marker_d86df0b4046cea8a89ef79afa78c9564.setIcon(icon_e5c3d8736bca00c06685f84f1ded8639);\n",
        "        \n",
        "    \n",
-       "        var popup_1753cda1d1e27a97b94a2120d7cb67d1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d0c485f590d2225d096b38882d1af134 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_45a55f669b3947353f9077b6853b61f4 = $(`&lt;div id=&quot;html_45a55f669b3947353f9077b6853b61f4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ping Identity Corporation&lt;/b&gt; &lt;br&gt;https://support.pingidentity.com/&lt;/div&gt;`)[0];\n",
-       "                popup_1753cda1d1e27a97b94a2120d7cb67d1.setContent(html_45a55f669b3947353f9077b6853b61f4);\n",
+       "                var html_25bb6a36ba6d2714030c451a0cdc9c6d = $(`&lt;div id=&quot;html_25bb6a36ba6d2714030c451a0cdc9c6d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ping Identity Corporation&lt;/b&gt; &lt;br&gt;https://support.pingidentity.com/&lt;/div&gt;`)[0];\n",
+       "                popup_d0c485f590d2225d096b38882d1af134.setContent(html_25bb6a36ba6d2714030c451a0cdc9c6d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_361b7c944bc0cb537a5bb9c0583602fd.bindPopup(popup_1753cda1d1e27a97b94a2120d7cb67d1)\n",
+       "        marker_d86df0b4046cea8a89ef79afa78c9564.bindPopup(popup_d0c485f590d2225d096b38882d1af134)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3c8d3e81032e0e16bbb5813f20761a6c = L.marker(\n",
+       "            var marker_6068119410cfa1cbd97453ec46b472d7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_675126681b4a46c35977e570eca8a413 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8f530a866b92a8ed4c45ad95c465a146 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3c8d3e81032e0e16bbb5813f20761a6c.setIcon(icon_675126681b4a46c35977e570eca8a413);\n",
+       "            marker_6068119410cfa1cbd97453ec46b472d7.setIcon(icon_8f530a866b92a8ed4c45ad95c465a146);\n",
        "        \n",
        "    \n",
-       "        var popup_42ae11f117600205db697e7c8d97612f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_db54938868aeaf167c6b19e238e4268d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6afbfab50b3dd1e005c7337aed89ca73 = $(`&lt;div id=&quot;html_6afbfab50b3dd1e005c7337aed89ca73&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Palantir Technologies&lt;/b&gt; &lt;br&gt;https://www.palantir.com/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_42ae11f117600205db697e7c8d97612f.setContent(html_6afbfab50b3dd1e005c7337aed89ca73);\n",
+       "                var html_9f1f3e4bfad50a99fd98eb47cf6cfab4 = $(`&lt;div id=&quot;html_9f1f3e4bfad50a99fd98eb47cf6cfab4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Palantir Technologies&lt;/b&gt; &lt;br&gt;https://www.palantir.com/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_db54938868aeaf167c6b19e238e4268d.setContent(html_9f1f3e4bfad50a99fd98eb47cf6cfab4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3c8d3e81032e0e16bbb5813f20761a6c.bindPopup(popup_42ae11f117600205db697e7c8d97612f)\n",
+       "        marker_6068119410cfa1cbd97453ec46b472d7.bindPopup(popup_db54938868aeaf167c6b19e238e4268d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_eaa65750ae67fa84575c09e54bfe7c9b = L.marker(\n",
+       "            var marker_1c7d695c53ed94804a05171803969665 = L.marker(\n",
        "                [63.2467777, 25.9209164],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e689bfd3c483a227cde652adb1755046 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c4145204f13a91b2ec7f6e6f66943299 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_eaa65750ae67fa84575c09e54bfe7c9b.setIcon(icon_e689bfd3c483a227cde652adb1755046);\n",
+       "            marker_1c7d695c53ed94804a05171803969665.setIcon(icon_c4145204f13a91b2ec7f6e6f66943299);\n",
        "        \n",
        "    \n",
-       "        var popup_c2091a6da71bf1c984bad2bdaca35c79 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1a4d118ccc5105d2aa68c016c88cf75e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_62cd89df64b7eaa691b23ea5316127f7 = $(`&lt;div id=&quot;html_62cd89df64b7eaa691b23ea5316127f7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;M-Files Corporation&lt;/b&gt; &lt;br&gt;https://product.m-files.com/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_c2091a6da71bf1c984bad2bdaca35c79.setContent(html_62cd89df64b7eaa691b23ea5316127f7);\n",
+       "                var html_5c990eb514c87fc59cd99baf4f6ceea2 = $(`&lt;div id=&quot;html_5c990eb514c87fc59cd99baf4f6ceea2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;M-Files Corporation&lt;/b&gt; &lt;br&gt;https://product.m-files.com/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_1a4d118ccc5105d2aa68c016c88cf75e.setContent(html_5c990eb514c87fc59cd99baf4f6ceea2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_eaa65750ae67fa84575c09e54bfe7c9b.bindPopup(popup_c2091a6da71bf1c984bad2bdaca35c79)\n",
+       "        marker_1c7d695c53ed94804a05171803969665.bindPopup(popup_1a4d118ccc5105d2aa68c016c88cf75e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3d6cca96683a71e065f9902232fd226c = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_6136c39837539c71ae6218034c211b0f = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0b4f3bdbf10239aa759cf08311621f4c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_15cc943b2e9760cd0ba5bead0e3c3e92 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3d6cca96683a71e065f9902232fd226c.setIcon(icon_0b4f3bdbf10239aa759cf08311621f4c);\n",
+       "            marker_6136c39837539c71ae6218034c211b0f.setIcon(icon_15cc943b2e9760cd0ba5bead0e3c3e92);\n",
        "        \n",
        "    \n",
-       "        var popup_57235894118b542a0eef304fe576014d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0d7b210dba924e15a2d22a3072689349 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_402225e627ea7a7c8b6903f906beaab7 = $(`&lt;div id=&quot;html_402225e627ea7a7c8b6903f906beaab7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;JFrog&lt;/b&gt; &lt;br&gt;https://www.jfrog.com/confluence/display/RTF/Fixed+Security+Vulnerabilities&lt;/div&gt;`)[0];\n",
-       "                popup_57235894118b542a0eef304fe576014d.setContent(html_402225e627ea7a7c8b6903f906beaab7);\n",
+       "                var html_dd102fdb278614f5d7e9eda49318bcab = $(`&lt;div id=&quot;html_dd102fdb278614f5d7e9eda49318bcab&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;JFrog&lt;/b&gt; &lt;br&gt;https://www.jfrog.com/confluence/display/RTF/Fixed+Security+Vulnerabilities&lt;/div&gt;`)[0];\n",
+       "                popup_0d7b210dba924e15a2d22a3072689349.setContent(html_dd102fdb278614f5d7e9eda49318bcab);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3d6cca96683a71e065f9902232fd226c.bindPopup(popup_57235894118b542a0eef304fe576014d)\n",
+       "        marker_6136c39837539c71ae6218034c211b0f.bindPopup(popup_0d7b210dba924e15a2d22a3072689349)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d72d0b15b3be76e5bf80cc01bd4ef4ed = L.marker(\n",
+       "            var marker_ed51eb4266cda11128cab21d5f34e715 = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1e9d3207ad5dc34148be27975bd703b8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8751ef6bbfa79ab62f4efba9b99764aa = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d72d0b15b3be76e5bf80cc01bd4ef4ed.setIcon(icon_1e9d3207ad5dc34148be27975bd703b8);\n",
+       "            marker_ed51eb4266cda11128cab21d5f34e715.setIcon(icon_8751ef6bbfa79ab62f4efba9b99764aa);\n",
        "        \n",
        "    \n",
-       "        var popup_aec8af81ba29bad0e3e80e41de8ea4f6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_664bb2c6c25bf67525b0785fa3e94d08 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8ff1b10d5da6845789d3723db4279a01 = $(`&lt;div id=&quot;html_8ff1b10d5da6845789d3723db4279a01&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Switzerland National Cyber Security Centre (NCSC)&lt;/b&gt; &lt;br&gt;https://www.ncsc.admin.ch/ncsc/en/home/infos-fuer/infos-it-spezialisten/themen/schwachstelle-melden/advisories.html&lt;/div&gt;`)[0];\n",
-       "                popup_aec8af81ba29bad0e3e80e41de8ea4f6.setContent(html_8ff1b10d5da6845789d3723db4279a01);\n",
+       "                var html_c29f821e2e69380351c1ee52b16bcddd = $(`&lt;div id=&quot;html_c29f821e2e69380351c1ee52b16bcddd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Switzerland National Cyber Security Centre (NCSC)&lt;/b&gt; &lt;br&gt;https://www.ncsc.admin.ch/ncsc/en/home/infos-fuer/infos-it-spezialisten/themen/schwachstelle-melden/advisories.html&lt;/div&gt;`)[0];\n",
+       "                popup_664bb2c6c25bf67525b0785fa3e94d08.setContent(html_c29f821e2e69380351c1ee52b16bcddd);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d72d0b15b3be76e5bf80cc01bd4ef4ed.bindPopup(popup_aec8af81ba29bad0e3e80e41de8ea4f6)\n",
+       "        marker_ed51eb4266cda11128cab21d5f34e715.bindPopup(popup_664bb2c6c25bf67525b0785fa3e94d08)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_34d8562d4706914004de641236fb2a5f = L.marker(\n",
+       "            var marker_dcd28e3991b66d0780fc0d872cad1d86 = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cea95748c7456bd61114c21f512539da = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a25be013878179b23a7bd568be4442f0 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_34d8562d4706914004de641236fb2a5f.setIcon(icon_cea95748c7456bd61114c21f512539da);\n",
+       "            marker_dcd28e3991b66d0780fc0d872cad1d86.setIcon(icon_a25be013878179b23a7bd568be4442f0);\n",
        "        \n",
        "    \n",
-       "        var popup_5b94e3a98ee3910d4826bf4e24483446 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_28483fbc641a956272e75ced4e42140e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3634c92babc2cbbf94990e2724d66165 = $(`&lt;div id=&quot;html_3634c92babc2cbbf94990e2724d66165&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;MediaTek, Inc.&lt;/b&gt; &lt;br&gt;https://corp.mediatek.com/product-security-bulletin&lt;/div&gt;`)[0];\n",
-       "                popup_5b94e3a98ee3910d4826bf4e24483446.setContent(html_3634c92babc2cbbf94990e2724d66165);\n",
+       "                var html_15e3ba4f01d4f03ad35ef4a6fb66259b = $(`&lt;div id=&quot;html_15e3ba4f01d4f03ad35ef4a6fb66259b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;MediaTek, Inc.&lt;/b&gt; &lt;br&gt;https://corp.mediatek.com/product-security-bulletin&lt;/div&gt;`)[0];\n",
+       "                popup_28483fbc641a956272e75ced4e42140e.setContent(html_15e3ba4f01d4f03ad35ef4a6fb66259b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_34d8562d4706914004de641236fb2a5f.bindPopup(popup_5b94e3a98ee3910d4826bf4e24483446)\n",
+       "        marker_dcd28e3991b66d0780fc0d872cad1d86.bindPopup(popup_28483fbc641a956272e75ced4e42140e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_cec7d3cfef0048cbeab43a46b753c6d8 = L.marker(\n",
+       "            var marker_1f365cbb69d2332c0b16e7d0bcf8f06b = L.marker(\n",
        "                [46.603354, 1.8883335],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_93aa4cc334f2604ad45c77c57898b885 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a9b5f8062544209beaa4736ea1aff379 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_cec7d3cfef0048cbeab43a46b753c6d8.setIcon(icon_93aa4cc334f2604ad45c77c57898b885);\n",
+       "            marker_1f365cbb69d2332c0b16e7d0bcf8f06b.setIcon(icon_a9b5f8062544209beaa4736ea1aff379);\n",
        "        \n",
        "    \n",
-       "        var popup_81c551776507bfa58bd86f7c18ee5e61 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e48a6fc49e9aa4e1077ca896fa8ad3bd = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ccf8a36155b4a72ca15e90f4024cc723 = $(`&lt;div id=&quot;html_ccf8a36155b4a72ca15e90f4024cc723&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Thales Group&lt;/b&gt; &lt;br&gt;https://cpl.thalesgroup.com/software-monetization/security-updates&lt;/div&gt;`)[0];\n",
-       "                popup_81c551776507bfa58bd86f7c18ee5e61.setContent(html_ccf8a36155b4a72ca15e90f4024cc723);\n",
+       "                var html_1e9df61ddbb84e47268ce07b8cca7ce7 = $(`&lt;div id=&quot;html_1e9df61ddbb84e47268ce07b8cca7ce7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Thales Group&lt;/b&gt; &lt;br&gt;https://cpl.thalesgroup.com/software-monetization/security-updates&lt;/div&gt;`)[0];\n",
+       "                popup_e48a6fc49e9aa4e1077ca896fa8ad3bd.setContent(html_1e9df61ddbb84e47268ce07b8cca7ce7);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_cec7d3cfef0048cbeab43a46b753c6d8.bindPopup(popup_81c551776507bfa58bd86f7c18ee5e61)\n",
+       "        marker_1f365cbb69d2332c0b16e7d0bcf8f06b.bindPopup(popup_e48a6fc49e9aa4e1077ca896fa8ad3bd)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_da5a094a7023f2ed7fbaf454d47245dd = L.marker(\n",
+       "            var marker_07951a704adc81c5b386f03e64a537a0 = L.marker(\n",
        "                [1.357107, 103.8194992],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_2ebfca3d9afe4495e7afa3fab738c8a7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_57cdeae6c8317032a13de040f6618799 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_da5a094a7023f2ed7fbaf454d47245dd.setIcon(icon_2ebfca3d9afe4495e7afa3fab738c8a7);\n",
+       "            marker_07951a704adc81c5b386f03e64a537a0.setIcon(icon_57cdeae6c8317032a13de040f6618799);\n",
        "        \n",
        "    \n",
-       "        var popup_5fc42a93f74b734102998e32238511b8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_48f3fde6efe52bffa5a3fac0a78c549a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d2539ee49d7ee39fe3956c9251957b00 = $(`&lt;div id=&quot;html_d2539ee49d7ee39fe3956c9251957b00&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Government Technology Agency of Singapore Cyber Security Group (GovTech CSG)&lt;/b&gt; &lt;br&gt;https://govtech-csg.github.io/security-advisories/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_5fc42a93f74b734102998e32238511b8.setContent(html_d2539ee49d7ee39fe3956c9251957b00);\n",
+       "                var html_f35668c08c2fe9e65aa1b68002e711fb = $(`&lt;div id=&quot;html_f35668c08c2fe9e65aa1b68002e711fb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Government Technology Agency of Singapore Cyber Security Group (GovTech CSG)&lt;/b&gt; &lt;br&gt;https://govtech-csg.github.io/security-advisories/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_48f3fde6efe52bffa5a3fac0a78c549a.setContent(html_f35668c08c2fe9e65aa1b68002e711fb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_da5a094a7023f2ed7fbaf454d47245dd.bindPopup(popup_5fc42a93f74b734102998e32238511b8)\n",
+       "        marker_07951a704adc81c5b386f03e64a537a0.bindPopup(popup_48f3fde6efe52bffa5a3fac0a78c549a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b0f548727cb26f5f88675d9042a438d7 = L.marker(\n",
+       "            var marker_04dd8bbc959cb11b2e7a7169c5c8db62 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ead2a6a7023a5ef766c05457380e136b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_fd87b75a8399fe3e3dc5e71e02317270 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b0f548727cb26f5f88675d9042a438d7.setIcon(icon_ead2a6a7023a5ef766c05457380e136b);\n",
+       "            marker_04dd8bbc959cb11b2e7a7169c5c8db62.setIcon(icon_fd87b75a8399fe3e3dc5e71e02317270);\n",
        "        \n",
        "    \n",
-       "        var popup_6cd026b93b64f832aa1a4452fbcc5899 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e936284b8aaaebcc88ad1c9e22ebcbad = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_25b7c0ad7520f737f9ee2be71fa855cd = $(`&lt;div id=&quot;html_25b7c0ad7520f737f9ee2be71fa855cd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Yugabyte, Inc.&lt;/b&gt; &lt;br&gt;https://docs.yugabyte.com/latest/secure/vulnerability-disclosure-policy/#security-tracker-cve-list&lt;/div&gt;`)[0];\n",
-       "                popup_6cd026b93b64f832aa1a4452fbcc5899.setContent(html_25b7c0ad7520f737f9ee2be71fa855cd);\n",
+       "                var html_07b0e9dbafa0263bd13dfbf07cb0be2e = $(`&lt;div id=&quot;html_07b0e9dbafa0263bd13dfbf07cb0be2e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Yugabyte, Inc.&lt;/b&gt; &lt;br&gt;https://docs.yugabyte.com/latest/secure/vulnerability-disclosure-policy/#security-tracker-cve-list&lt;/div&gt;`)[0];\n",
+       "                popup_e936284b8aaaebcc88ad1c9e22ebcbad.setContent(html_07b0e9dbafa0263bd13dfbf07cb0be2e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b0f548727cb26f5f88675d9042a438d7.bindPopup(popup_6cd026b93b64f832aa1a4452fbcc5899)\n",
+       "        marker_04dd8bbc959cb11b2e7a7169c5c8db62.bindPopup(popup_e936284b8aaaebcc88ad1c9e22ebcbad)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6efc6940d1eb22fd2f51e46ac5362624 = L.marker(\n",
+       "            var marker_8fe134b0a313cabcce1e70e6764e12cc = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0b83129b3474fc100474d40d9fa4e427 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a277253356c8684eb8c71f6dd9641ff5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6efc6940d1eb22fd2f51e46ac5362624.setIcon(icon_0b83129b3474fc100474d40d9fa4e427);\n",
+       "            marker_8fe134b0a313cabcce1e70e6764e12cc.setIcon(icon_a277253356c8684eb8c71f6dd9641ff5);\n",
        "        \n",
        "    \n",
-       "        var popup_2f41b8e5b7306d66ac64fe603ca43939 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_fa9fb892f843c8887db3103de54e7e80 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_eaa65b3ba57a8b5e859e447ead117378 = $(`&lt;div id=&quot;html_eaa65b3ba57a8b5e859e447ead117378&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ForgeRock, Inc.&lt;/b&gt; &lt;br&gt;https://backstage.forgerock.com/knowledge/kb/book/b21824339&lt;/div&gt;`)[0];\n",
-       "                popup_2f41b8e5b7306d66ac64fe603ca43939.setContent(html_eaa65b3ba57a8b5e859e447ead117378);\n",
+       "                var html_44472a33ffb76720728d1b84173263ec = $(`&lt;div id=&quot;html_44472a33ffb76720728d1b84173263ec&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ForgeRock, Inc.&lt;/b&gt; &lt;br&gt;https://backstage.forgerock.com/knowledge/kb/book/b21824339&lt;/div&gt;`)[0];\n",
+       "                popup_fa9fb892f843c8887db3103de54e7e80.setContent(html_44472a33ffb76720728d1b84173263ec);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6efc6940d1eb22fd2f51e46ac5362624.bindPopup(popup_2f41b8e5b7306d66ac64fe603ca43939)\n",
+       "        marker_8fe134b0a313cabcce1e70e6764e12cc.bindPopup(popup_fa9fb892f843c8887db3103de54e7e80)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_eb93dc420407dc0558732807660ef058 = L.marker(\n",
+       "            var marker_927c3cdaef60d2a3354dd55ae3da62e7 = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3bc0b7b0528f136793f8eb8bc7aaf39c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_15e60ac0e287d24fb3865aff7fe04076 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_eb93dc420407dc0558732807660ef058.setIcon(icon_3bc0b7b0528f136793f8eb8bc7aaf39c);\n",
+       "            marker_927c3cdaef60d2a3354dd55ae3da62e7.setIcon(icon_15e60ac0e287d24fb3865aff7fe04076);\n",
        "        \n",
        "    \n",
-       "        var popup_7fe5fb3b9b8b80770136dd7623a0a721 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_90b1c644b7d12f6aa556e3894817a57b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7f1dab4c82693b54de936bf4f5b03c49 = $(`&lt;div id=&quot;html_7f1dab4c82693b54de936bf4f5b03c49&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ASUSTOR, Inc.&lt;/b&gt; &lt;br&gt;https://www.asustor.com/security/security_advisory&lt;/div&gt;`)[0];\n",
-       "                popup_7fe5fb3b9b8b80770136dd7623a0a721.setContent(html_7f1dab4c82693b54de936bf4f5b03c49);\n",
+       "                var html_a04aafc318b821c02ee9d21a46a83d06 = $(`&lt;div id=&quot;html_a04aafc318b821c02ee9d21a46a83d06&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ASUSTOR, Inc.&lt;/b&gt; &lt;br&gt;https://www.asustor.com/security/security_advisory&lt;/div&gt;`)[0];\n",
+       "                popup_90b1c644b7d12f6aa556e3894817a57b.setContent(html_a04aafc318b821c02ee9d21a46a83d06);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_eb93dc420407dc0558732807660ef058.bindPopup(popup_7fe5fb3b9b8b80770136dd7623a0a721)\n",
+       "        marker_927c3cdaef60d2a3354dd55ae3da62e7.bindPopup(popup_90b1c644b7d12f6aa556e3894817a57b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f2ff30881594c82610eae88feed9dffb = L.marker(\n",
+       "            var marker_a3cbbbdaca6ef4e90c9b21f1992fdf1f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6ad043fe6626097d5f5479db8d204fd1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9bfd735ef98e0cb645f1e9715994a4a2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f2ff30881594c82610eae88feed9dffb.setIcon(icon_6ad043fe6626097d5f5479db8d204fd1);\n",
+       "            marker_a3cbbbdaca6ef4e90c9b21f1992fdf1f.setIcon(icon_9bfd735ef98e0cb645f1e9715994a4a2);\n",
        "        \n",
        "    \n",
-       "        var popup_a2e5b5e5fce2efd23e74e842e7bbe25e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bafe578fc4f286f6749e88337f78060b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_119c59181b8a14abf56534f57e9d4364 = $(`&lt;div id=&quot;html_119c59181b8a14abf56534f57e9d4364&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Okta&lt;/b&gt; &lt;br&gt;https://trust.okta.com/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_a2e5b5e5fce2efd23e74e842e7bbe25e.setContent(html_119c59181b8a14abf56534f57e9d4364);\n",
+       "                var html_0454e2ccf5b24ce04b8d525a4b2f3942 = $(`&lt;div id=&quot;html_0454e2ccf5b24ce04b8d525a4b2f3942&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Okta&lt;/b&gt; &lt;br&gt;https://trust.okta.com/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_bafe578fc4f286f6749e88337f78060b.setContent(html_0454e2ccf5b24ce04b8d525a4b2f3942);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f2ff30881594c82610eae88feed9dffb.bindPopup(popup_a2e5b5e5fce2efd23e74e842e7bbe25e)\n",
+       "        marker_a3cbbbdaca6ef4e90c9b21f1992fdf1f.bindPopup(popup_bafe578fc4f286f6749e88337f78060b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f6a02c41af8a5bec81aa45baad3bcca3 = L.marker(\n",
+       "            var marker_dd687e507b9d95007d03f309d7cb710c = L.marker(\n",
        "                [22.3511148, 78.6677428],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c85796413dff1129e75e7e9b91a055ff = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_be980ebeeb737174d1bd33c78f99c7b2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f6a02c41af8a5bec81aa45baad3bcca3.setIcon(icon_c85796413dff1129e75e7e9b91a055ff);\n",
+       "            marker_dd687e507b9d95007d03f309d7cb710c.setIcon(icon_be980ebeeb737174d1bd33c78f99c7b2);\n",
        "        \n",
        "    \n",
-       "        var popup_6c734d18aa53fbd786c30cb09083fb55 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bdacad82984ac376dc02450b385fbe9e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_59efea99418cf3817e89c2b249a3b0ce = $(`&lt;div id=&quot;html_59efea99418cf3817e89c2b249a3b0ce&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Indian Computer Emergency Response Team (CERT-In)&lt;/b&gt; &lt;br&gt;https://www.cert-in.org.in/&lt;/div&gt;`)[0];\n",
-       "                popup_6c734d18aa53fbd786c30cb09083fb55.setContent(html_59efea99418cf3817e89c2b249a3b0ce);\n",
+       "                var html_283095cdaaf1a2c972999b240f5b62a5 = $(`&lt;div id=&quot;html_283095cdaaf1a2c972999b240f5b62a5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Indian Computer Emergency Response Team (CERT-In)&lt;/b&gt; &lt;br&gt;https://www.cert-in.org.in/&lt;/div&gt;`)[0];\n",
+       "                popup_bdacad82984ac376dc02450b385fbe9e.setContent(html_283095cdaaf1a2c972999b240f5b62a5);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f6a02c41af8a5bec81aa45baad3bcca3.bindPopup(popup_6c734d18aa53fbd786c30cb09083fb55)\n",
+       "        marker_dd687e507b9d95007d03f309d7cb710c.bindPopup(popup_bdacad82984ac376dc02450b385fbe9e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_1e52d288c1d05e845f0bee3f34f68a86 = L.marker(\n",
+       "            var marker_4a37b9dcc3aec4fec5662d648eeaff1c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d54c2c95317334e76d2572370c6232ac = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0d8ea417661e9bb909889ffc0db6e528 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_1e52d288c1d05e845f0bee3f34f68a86.setIcon(icon_d54c2c95317334e76d2572370c6232ac);\n",
+       "            marker_4a37b9dcc3aec4fec5662d648eeaff1c.setIcon(icon_0d8ea417661e9bb909889ffc0db6e528);\n",
        "        \n",
        "    \n",
-       "        var popup_d2eb6dfe35da9f7878a3dc3c2ef71352 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_635d950c3bf14e1d3fbbe25b49acb8f0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2180ca08f1401422a60c0201efdacdc7 = $(`&lt;div id=&quot;html_2180ca08f1401422a60c0201efdacdc7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Western Digital&lt;/b&gt; &lt;br&gt;https://www.westerndigital.com/support/productsecurity&lt;/div&gt;`)[0];\n",
-       "                popup_d2eb6dfe35da9f7878a3dc3c2ef71352.setContent(html_2180ca08f1401422a60c0201efdacdc7);\n",
+       "                var html_5bf3eb1ed25d34ad38cd699524230567 = $(`&lt;div id=&quot;html_5bf3eb1ed25d34ad38cd699524230567&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Western Digital&lt;/b&gt; &lt;br&gt;https://www.westerndigital.com/support/productsecurity&lt;/div&gt;`)[0];\n",
+       "                popup_635d950c3bf14e1d3fbbe25b49acb8f0.setContent(html_5bf3eb1ed25d34ad38cd699524230567);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_1e52d288c1d05e845f0bee3f34f68a86.bindPopup(popup_d2eb6dfe35da9f7878a3dc3c2ef71352)\n",
+       "        marker_4a37b9dcc3aec4fec5662d648eeaff1c.bindPopup(popup_635d950c3bf14e1d3fbbe25b49acb8f0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f07f6ae5b4b0be73942117cf88653e85 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_a17c2679713b0cf4454c74d5604717f9 = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7aec04a573f0cfbdbe9ff51bd80d2fd0 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_04e63cd720ae9d2504b05b16dbdd7ce9 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f07f6ae5b4b0be73942117cf88653e85.setIcon(icon_7aec04a573f0cfbdbe9ff51bd80d2fd0);\n",
+       "            marker_a17c2679713b0cf4454c74d5604717f9.setIcon(icon_04e63cd720ae9d2504b05b16dbdd7ce9);\n",
        "        \n",
        "    \n",
-       "        var popup_272277056a51ee2d3e81aea7d272afdc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1122caca1102d36174a74b495a3d9b15 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6db59db068b01a7ddf876de180d306ce = $(`&lt;div id=&quot;html_6db59db068b01a7ddf876de180d306ce&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;AppCheck Ltd.&lt;/b&gt; &lt;br&gt;https://appcheck-ng.com/category/security-alerts/&lt;/div&gt;`)[0];\n",
-       "                popup_272277056a51ee2d3e81aea7d272afdc.setContent(html_6db59db068b01a7ddf876de180d306ce);\n",
+       "                var html_0addade147970c56e1ad8cecafbf6ce9 = $(`&lt;div id=&quot;html_0addade147970c56e1ad8cecafbf6ce9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;AppCheck Ltd.&lt;/b&gt; &lt;br&gt;https://appcheck-ng.com/category/security-alerts/&lt;/div&gt;`)[0];\n",
+       "                popup_1122caca1102d36174a74b495a3d9b15.setContent(html_0addade147970c56e1ad8cecafbf6ce9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f07f6ae5b4b0be73942117cf88653e85.bindPopup(popup_272277056a51ee2d3e81aea7d272afdc)\n",
+       "        marker_a17c2679713b0cf4454c74d5604717f9.bindPopup(popup_1122caca1102d36174a74b495a3d9b15)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_fd775f1725542628b7709373935e4311 = L.marker(\n",
+       "            var marker_ccf3ad2c425dd969bb2a73ba974052df = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7a556159fafb38f930439050acebf6d4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3fa68248577ba291fd3774035435fe7b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_fd775f1725542628b7709373935e4311.setIcon(icon_7a556159fafb38f930439050acebf6d4);\n",
+       "            marker_ccf3ad2c425dd969bb2a73ba974052df.setIcon(icon_3fa68248577ba291fd3774035435fe7b);\n",
        "        \n",
        "    \n",
-       "        var popup_854b6a553bd625802896489dafcb652f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_dd93490dcf0290cc3b939f20d215d5bc = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_abb131e0e824bdf2d668b294842df4e6 = $(`&lt;div id=&quot;html_abb131e0e824bdf2d668b294842df4e6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Acronis International GmbH&lt;/b&gt; &lt;br&gt;https://security-advisory.acronis.com/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_854b6a553bd625802896489dafcb652f.setContent(html_abb131e0e824bdf2d668b294842df4e6);\n",
+       "                var html_226fa8c9b8a73522555a764b0628e4a7 = $(`&lt;div id=&quot;html_226fa8c9b8a73522555a764b0628e4a7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Acronis International GmbH&lt;/b&gt; &lt;br&gt;https://security-advisory.acronis.com/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_dd93490dcf0290cc3b939f20d215d5bc.setContent(html_226fa8c9b8a73522555a764b0628e4a7);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_fd775f1725542628b7709373935e4311.bindPopup(popup_854b6a553bd625802896489dafcb652f)\n",
+       "        marker_ccf3ad2c425dd969bb2a73ba974052df.bindPopup(popup_dd93490dcf0290cc3b939f20d215d5bc)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ecb7612e6b14f7319cf350afc4a5e5c1 = L.marker(\n",
+       "            var marker_e019d6f43420f7f3f1ba58292d5e451c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_04e8fa531f155c8f79280d7037694410 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5f8b33061accbabe8869d69024aed33a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ecb7612e6b14f7319cf350afc4a5e5c1.setIcon(icon_04e8fa531f155c8f79280d7037694410);\n",
+       "            marker_e019d6f43420f7f3f1ba58292d5e451c.setIcon(icon_5f8b33061accbabe8869d69024aed33a);\n",
        "        \n",
        "    \n",
-       "        var popup_2212f8b90559d4865983e50ade327d25 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_71dc35369c1e431a94fea1e8b766105b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_067465aa9fa697cbac5f8332800f0459 = $(`&lt;div id=&quot;html_067465aa9fa697cbac5f8332800f0459&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Carrier Global Corporation&lt;/b&gt; &lt;br&gt;https://www.corporate.carrier.com/product-security/advisories-resources/&lt;/div&gt;`)[0];\n",
-       "                popup_2212f8b90559d4865983e50ade327d25.setContent(html_067465aa9fa697cbac5f8332800f0459);\n",
+       "                var html_4872d2c6b4ff3ce12dcc4a9dd4d68adb = $(`&lt;div id=&quot;html_4872d2c6b4ff3ce12dcc4a9dd4d68adb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Carrier Global Corporation&lt;/b&gt; &lt;br&gt;https://www.corporate.carrier.com/product-security/advisories-resources/&lt;/div&gt;`)[0];\n",
+       "                popup_71dc35369c1e431a94fea1e8b766105b.setContent(html_4872d2c6b4ff3ce12dcc4a9dd4d68adb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ecb7612e6b14f7319cf350afc4a5e5c1.bindPopup(popup_2212f8b90559d4865983e50ade327d25)\n",
+       "        marker_e019d6f43420f7f3f1ba58292d5e451c.bindPopup(popup_71dc35369c1e431a94fea1e8b766105b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_63cbc500b8ce665d1291ea58407c3d20 = L.marker(\n",
+       "            var marker_415f95c43a431b2097c3f43e8be75ce7 = L.marker(\n",
        "                [39.3260685, -4.8379791],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_229129121d4ebc194ce97f154786f256 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_661fb59d998857861feb07b7709d361b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_63cbc500b8ce665d1291ea58407c3d20.setIcon(icon_229129121d4ebc194ce97f154786f256);\n",
+       "            marker_415f95c43a431b2097c3f43e8be75ce7.setIcon(icon_661fb59d998857861feb07b7709d361b);\n",
        "        \n",
        "    \n",
-       "        var popup_3b6bd6d1489b8e01cff509334d2955de = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e0ea12d99d031e2412a71c114ad829f8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_29ce26570a24c35e0b5da39ef9e96646 = $(`&lt;div id=&quot;html_29ce26570a24c35e0b5da39ef9e96646&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pandora FMS&lt;/b&gt; &lt;br&gt;https://pandorafms.com/common-vulnerabilities-and-exposures/&lt;/div&gt;`)[0];\n",
-       "                popup_3b6bd6d1489b8e01cff509334d2955de.setContent(html_29ce26570a24c35e0b5da39ef9e96646);\n",
+       "                var html_fec3253c2c2d461038a1ad9656537bc0 = $(`&lt;div id=&quot;html_fec3253c2c2d461038a1ad9656537bc0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pandora FMS&lt;/b&gt; &lt;br&gt;https://pandorafms.com/common-vulnerabilities-and-exposures/&lt;/div&gt;`)[0];\n",
+       "                popup_e0ea12d99d031e2412a71c114ad829f8.setContent(html_fec3253c2c2d461038a1ad9656537bc0);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_63cbc500b8ce665d1291ea58407c3d20.bindPopup(popup_3b6bd6d1489b8e01cff509334d2955de)\n",
+       "        marker_415f95c43a431b2097c3f43e8be75ce7.bindPopup(popup_e0ea12d99d031e2412a71c114ad829f8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_eb442fe68c95d078c3d3ba4f4ef51f83 = L.marker(\n",
+       "            var marker_172edad22cabcda105064ef9d2ed5acb = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1dfa5b7310921e68c40aae42e0a5e951 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c5308d47c76b39abd9b213f8c78ce9e4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_eb442fe68c95d078c3d3ba4f4ef51f83.setIcon(icon_1dfa5b7310921e68c40aae42e0a5e951);\n",
+       "            marker_172edad22cabcda105064ef9d2ed5acb.setIcon(icon_c5308d47c76b39abd9b213f8c78ce9e4);\n",
        "        \n",
        "    \n",
-       "        var popup_ed45dee0ffc7514ee778eef2a43b971f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_583c4d3119c04287fdf64b7bd38f1b63 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ec7b36f8841f1c0cc999d64d17ed00e1 = $(`&lt;div id=&quot;html_ec7b36f8841f1c0cc999d64d17ed00e1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Silicon Labs&lt;/b&gt; &lt;br&gt;https://siliconlabs.force.com/s/alert/Alert__c/00B1M000009sQ4R&lt;/div&gt;`)[0];\n",
-       "                popup_ed45dee0ffc7514ee778eef2a43b971f.setContent(html_ec7b36f8841f1c0cc999d64d17ed00e1);\n",
+       "                var html_364e6968a6766234e5099e8a5d89c3ac = $(`&lt;div id=&quot;html_364e6968a6766234e5099e8a5d89c3ac&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Silicon Labs&lt;/b&gt; &lt;br&gt;https://siliconlabs.force.com/s/alert/Alert__c/00B1M000009sQ4R&lt;/div&gt;`)[0];\n",
+       "                popup_583c4d3119c04287fdf64b7bd38f1b63.setContent(html_364e6968a6766234e5099e8a5d89c3ac);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_eb442fe68c95d078c3d3ba4f4ef51f83.bindPopup(popup_ed45dee0ffc7514ee778eef2a43b971f)\n",
+       "        marker_172edad22cabcda105064ef9d2ed5acb.bindPopup(popup_583c4d3119c04287fdf64b7bd38f1b63)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_08ddcb7a02c9359913a149b44ffa02bf = L.marker(\n",
+       "            var marker_5db0a4e582ffa7581c9a3334b74eaebd = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ffb6f2b422baa68c427aadfe094adb4a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ef32690c62a22aca115ba0b6530cc6b6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_08ddcb7a02c9359913a149b44ffa02bf.setIcon(icon_ffb6f2b422baa68c427aadfe094adb4a);\n",
+       "            marker_5db0a4e582ffa7581c9a3334b74eaebd.setIcon(icon_ef32690c62a22aca115ba0b6530cc6b6);\n",
        "        \n",
        "    \n",
-       "        var popup_9ce3ef20026b62d179825052dac91eb5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8f2841540370284fca8ca0ad7bf1b959 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_46a71ffd203e864431a9bda52af1094d = $(`&lt;div id=&quot;html_46a71ffd203e864431a9bda52af1094d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Panasonic Holdings Corporation&lt;/b&gt; &lt;br&gt;https://www.panasonic.com/global/corporate/product-security/sec/psirt/advisories.html&lt;/div&gt;`)[0];\n",
-       "                popup_9ce3ef20026b62d179825052dac91eb5.setContent(html_46a71ffd203e864431a9bda52af1094d);\n",
+       "                var html_4fe4481f194ff52a410bd8b9ea57812a = $(`&lt;div id=&quot;html_4fe4481f194ff52a410bd8b9ea57812a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Panasonic Holdings Corporation&lt;/b&gt; &lt;br&gt;https://www.panasonic.com/global/corporate/product-security/sec/psirt/advisories.html&lt;/div&gt;`)[0];\n",
+       "                popup_8f2841540370284fca8ca0ad7bf1b959.setContent(html_4fe4481f194ff52a410bd8b9ea57812a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_08ddcb7a02c9359913a149b44ffa02bf.bindPopup(popup_9ce3ef20026b62d179825052dac91eb5)\n",
+       "        marker_5db0a4e582ffa7581c9a3334b74eaebd.bindPopup(popup_8f2841540370284fca8ca0ad7bf1b959)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0912bdd37e154a51fc1b731a39a8d9e0 = L.marker(\n",
+       "            var marker_6f4d87459be01e69f3304f33df43e748 = L.marker(\n",
        "                [39.3260685, -4.8379791],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_dd9d9e103c83cc444a438faf191d2bd9 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_bd16eefa5b91544d43a83351902651e0 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0912bdd37e154a51fc1b731a39a8d9e0.setIcon(icon_dd9d9e103c83cc444a438faf191d2bd9);\n",
+       "            marker_6f4d87459be01e69f3304f33df43e748.setIcon(icon_bd16eefa5b91544d43a83351902651e0);\n",
        "        \n",
        "    \n",
-       "        var popup_53ef7c08188c6dba9903b96dbd45d0b8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5ce3a80c3f856cd22886e8b04b5b668a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5cafcf3420c3409dcc6f20e9436a11c4 = $(`&lt;div id=&quot;html_5cafcf3420c3409dcc6f20e9436a11c4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ZGR&lt;/b&gt; &lt;br&gt;https://www.zigor.com/list-of-vulnerabilities/&lt;/div&gt;`)[0];\n",
-       "                popup_53ef7c08188c6dba9903b96dbd45d0b8.setContent(html_5cafcf3420c3409dcc6f20e9436a11c4);\n",
+       "                var html_f4366abbd1d53a18db211522a34f300f = $(`&lt;div id=&quot;html_f4366abbd1d53a18db211522a34f300f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ZGR&lt;/b&gt; &lt;br&gt;https://www.zigor.com/list-of-vulnerabilities/&lt;/div&gt;`)[0];\n",
+       "                popup_5ce3a80c3f856cd22886e8b04b5b668a.setContent(html_f4366abbd1d53a18db211522a34f300f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0912bdd37e154a51fc1b731a39a8d9e0.bindPopup(popup_53ef7c08188c6dba9903b96dbd45d0b8)\n",
+       "        marker_6f4d87459be01e69f3304f33df43e748.bindPopup(popup_5ce3a80c3f856cd22886e8b04b5b668a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f3710daa54702a2f0c5ad372fe3fe5ad = L.marker(\n",
+       "            var marker_b69fae074c78d4dea5b36cf0bbcab587 = L.marker(\n",
        "                [38.9597594, 34.9249653],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b60054a3ecdcf67c03e87ec3abb3c993 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3a0cd809529eb3f2afc06c867c8ff80b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f3710daa54702a2f0c5ad372fe3fe5ad.setIcon(icon_b60054a3ecdcf67c03e87ec3abb3c993);\n",
+       "            marker_b69fae074c78d4dea5b36cf0bbcab587.setIcon(icon_3a0cd809529eb3f2afc06c867c8ff80b);\n",
        "        \n",
        "    \n",
-       "        var popup_839079b04fe43baddea79842b3263c17 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2accf0135bccdb18aaa939f91f2e5ffb = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a9acd85214f34648d0fdf7e902e46fc4 = $(`&lt;div id=&quot;html_a9acd85214f34648d0fdf7e902e46fc4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Profelis IT Consultancy&lt;/b&gt; &lt;br&gt;https://www.profelis.com.tr/politikalar/bilgi-guvenligi-politikamiz/&lt;/div&gt;`)[0];\n",
-       "                popup_839079b04fe43baddea79842b3263c17.setContent(html_a9acd85214f34648d0fdf7e902e46fc4);\n",
+       "                var html_c3830c09b528b1f6629c3fed0146fea0 = $(`&lt;div id=&quot;html_c3830c09b528b1f6629c3fed0146fea0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Profelis IT Consultancy&lt;/b&gt; &lt;br&gt;https://www.profelis.com.tr/politikalar/bilgi-guvenligi-politikamiz/&lt;/div&gt;`)[0];\n",
+       "                popup_2accf0135bccdb18aaa939f91f2e5ffb.setContent(html_c3830c09b528b1f6629c3fed0146fea0);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f3710daa54702a2f0c5ad372fe3fe5ad.bindPopup(popup_839079b04fe43baddea79842b3263c17)\n",
+       "        marker_b69fae074c78d4dea5b36cf0bbcab587.bindPopup(popup_2accf0135bccdb18aaa939f91f2e5ffb)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a14405a15a1a4d038525758f505283ba = L.marker(\n",
+       "            var marker_87e36f4e63d68bfb7dd3211ca1bb78af = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5f590cd625652987e48c72a22f4b69a7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_204d3402afd6834d8fd00fe3778b9bc4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a14405a15a1a4d038525758f505283ba.setIcon(icon_5f590cd625652987e48c72a22f4b69a7);\n",
+       "            marker_87e36f4e63d68bfb7dd3211ca1bb78af.setIcon(icon_204d3402afd6834d8fd00fe3778b9bc4);\n",
        "        \n",
        "    \n",
-       "        var popup_fd3eb6bad30a559938a0a9166c333ef2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_513cfa08dcfe40c1fbb87ffac03bd62c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_384b265d43072c3dcdee680db77503e1 = $(`&lt;div id=&quot;html_384b265d43072c3dcdee680db77503e1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TeamViewer Germany GmbH&lt;/b&gt; &lt;br&gt;https://www.teamviewer.com/en/trust-center/security-bulletins/&lt;/div&gt;`)[0];\n",
-       "                popup_fd3eb6bad30a559938a0a9166c333ef2.setContent(html_384b265d43072c3dcdee680db77503e1);\n",
+       "                var html_13b872ede1553a0ef5f60c768790bc1d = $(`&lt;div id=&quot;html_13b872ede1553a0ef5f60c768790bc1d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TeamViewer Germany GmbH&lt;/b&gt; &lt;br&gt;https://www.teamviewer.com/en/trust-center/security-bulletins/&lt;/div&gt;`)[0];\n",
+       "                popup_513cfa08dcfe40c1fbb87ffac03bd62c.setContent(html_13b872ede1553a0ef5f60c768790bc1d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a14405a15a1a4d038525758f505283ba.bindPopup(popup_fd3eb6bad30a559938a0a9166c333ef2)\n",
+       "        marker_87e36f4e63d68bfb7dd3211ca1bb78af.bindPopup(popup_513cfa08dcfe40c1fbb87ffac03bd62c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4a1b5d00fe0fabde53dbf5952e934e16 = L.marker(\n",
+       "            var marker_918d393114e0298de02c116941289230 = L.marker(\n",
        "                [-31.7613365, -71.3187697],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_efabc5edde0e9cad2fd316dd11f3a9b1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8da7b93d97fdccc1acea4ce8f0cc72a8 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4a1b5d00fe0fabde53dbf5952e934e16.setIcon(icon_efabc5edde0e9cad2fd316dd11f3a9b1);\n",
+       "            marker_918d393114e0298de02c116941289230.setIcon(icon_8da7b93d97fdccc1acea4ce8f0cc72a8);\n",
        "        \n",
        "    \n",
-       "        var popup_514261f3ec91e6095e53ccd35449d99b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a76cafbd82b443adcd9664fd2f5e89a6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d057c7ca026f721303484e4319247c4a = $(`&lt;div id=&quot;html_d057c7ca026f721303484e4319247c4a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Vulnscope Technologies&lt;/b&gt; &lt;br&gt;https://www.vulnscope.com/vulnscope&lt;/div&gt;`)[0];\n",
-       "                popup_514261f3ec91e6095e53ccd35449d99b.setContent(html_d057c7ca026f721303484e4319247c4a);\n",
+       "                var html_856e70429a5c60a82312bb0ec22ebecb = $(`&lt;div id=&quot;html_856e70429a5c60a82312bb0ec22ebecb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Vulnscope Technologies&lt;/b&gt; &lt;br&gt;https://www.vulnscope.com/vulnscope&lt;/div&gt;`)[0];\n",
+       "                popup_a76cafbd82b443adcd9664fd2f5e89a6.setContent(html_856e70429a5c60a82312bb0ec22ebecb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4a1b5d00fe0fabde53dbf5952e934e16.bindPopup(popup_514261f3ec91e6095e53ccd35449d99b)\n",
+       "        marker_918d393114e0298de02c116941289230.bindPopup(popup_a76cafbd82b443adcd9664fd2f5e89a6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9692cc247778413d9be734804228b577 = L.marker(\n",
+       "            var marker_7b079870f70946c7d4b665a295cda13e = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5e596025c31b788e7538d0a5d1a0322a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_46ef73d867b55f1cdd950f66b1dd0e40 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9692cc247778413d9be734804228b577.setIcon(icon_5e596025c31b788e7538d0a5d1a0322a);\n",
+       "            marker_7b079870f70946c7d4b665a295cda13e.setIcon(icon_46ef73d867b55f1cdd950f66b1dd0e40);\n",
        "        \n",
        "    \n",
-       "        var popup_f631f5057bf3ce57e577ec0045526f68 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c0c00596bd801920e50294f02b18f017 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_1777e572b96b74cefce1fca770fb7ca7 = $(`&lt;div id=&quot;html_1777e572b96b74cefce1fca770fb7ca7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mirantis&lt;/b&gt; &lt;br&gt;https://github.com/Mirantis/security/blob/main/advisories/advisories.md&lt;/div&gt;`)[0];\n",
-       "                popup_f631f5057bf3ce57e577ec0045526f68.setContent(html_1777e572b96b74cefce1fca770fb7ca7);\n",
+       "                var html_2143c965e0275d2bc02bc9bfccdc6d8b = $(`&lt;div id=&quot;html_2143c965e0275d2bc02bc9bfccdc6d8b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mirantis&lt;/b&gt; &lt;br&gt;https://github.com/Mirantis/security/blob/main/advisories/advisories.md&lt;/div&gt;`)[0];\n",
+       "                popup_c0c00596bd801920e50294f02b18f017.setContent(html_2143c965e0275d2bc02bc9bfccdc6d8b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9692cc247778413d9be734804228b577.bindPopup(popup_f631f5057bf3ce57e577ec0045526f68)\n",
+       "        marker_7b079870f70946c7d4b665a295cda13e.bindPopup(popup_c0c00596bd801920e50294f02b18f017)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d3f000bc11c723083b97b341b77963e3 = L.marker(\n",
+       "            var marker_03fe742cc4f4804eeb1126e9cf5ed30d = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_fdeafedd1cc51e3e7cd92e25da14fca3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c457ad5f94db38ceb3a4e3efe649036a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d3f000bc11c723083b97b341b77963e3.setIcon(icon_fdeafedd1cc51e3e7cd92e25da14fca3);\n",
+       "            marker_03fe742cc4f4804eeb1126e9cf5ed30d.setIcon(icon_c457ad5f94db38ceb3a4e3efe649036a);\n",
        "        \n",
        "    \n",
-       "        var popup_2d5de362dd0ed15d8f3c440f20d98663 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_fcaa46db518831f40e2cbb9bd8e9fb48 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d186e0a5186235b823493e7b290ec312 = $(`&lt;div id=&quot;html_d186e0a5186235b823493e7b290ec312&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VulDB&lt;/b&gt; &lt;br&gt;https://vuldb.com/?cna.recent&lt;/div&gt;`)[0];\n",
-       "                popup_2d5de362dd0ed15d8f3c440f20d98663.setContent(html_d186e0a5186235b823493e7b290ec312);\n",
+       "                var html_bd68ccb5261cddd8f6149d3a57967eef = $(`&lt;div id=&quot;html_bd68ccb5261cddd8f6149d3a57967eef&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VulDB&lt;/b&gt; &lt;br&gt;https://vuldb.com/?cna.recent&lt;/div&gt;`)[0];\n",
+       "                popup_fcaa46db518831f40e2cbb9bd8e9fb48.setContent(html_bd68ccb5261cddd8f6149d3a57967eef);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d3f000bc11c723083b97b341b77963e3.bindPopup(popup_2d5de362dd0ed15d8f3c440f20d98663)\n",
+       "        marker_03fe742cc4f4804eeb1126e9cf5ed30d.bindPopup(popup_fcaa46db518831f40e2cbb9bd8e9fb48)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_df5b423653eda3fbff6b2e6b1fac0ee4 = L.marker(\n",
+       "            var marker_6f78eab9512cf4f02d470b7269335500 = L.marker(\n",
        "                [22.3511148, 78.6677428],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_925d9fa4b87ba63021f3d7d3936e252b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3d9b454abf75dd205f80827de25351af = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_df5b423653eda3fbff6b2e6b1fac0ee4.setIcon(icon_925d9fa4b87ba63021f3d7d3936e252b);\n",
+       "            marker_6f78eab9512cf4f02d470b7269335500.setIcon(icon_3d9b454abf75dd205f80827de25351af);\n",
        "        \n",
        "    \n",
-       "        var popup_597d368dabfa7c0af29313bc1f789271 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0b77cc9ace0f84efd75987d902e7e5b4 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e2ce0f6e3157bb3298390a49c7de4548 = $(`&lt;div id=&quot;html_e2ce0f6e3157bb3298390a49c7de4548&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Frappe Technologies Pvt. Ltd.&lt;/b&gt; &lt;br&gt;https://erpnext.com/security/references&lt;/div&gt;`)[0];\n",
-       "                popup_597d368dabfa7c0af29313bc1f789271.setContent(html_e2ce0f6e3157bb3298390a49c7de4548);\n",
+       "                var html_5d3e9ccb4bc48baef4df92c0672c464e = $(`&lt;div id=&quot;html_5d3e9ccb4bc48baef4df92c0672c464e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Frappe Technologies Pvt. Ltd.&lt;/b&gt; &lt;br&gt;https://erpnext.com/security/references&lt;/div&gt;`)[0];\n",
+       "                popup_0b77cc9ace0f84efd75987d902e7e5b4.setContent(html_5d3e9ccb4bc48baef4df92c0672c464e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_df5b423653eda3fbff6b2e6b1fac0ee4.bindPopup(popup_597d368dabfa7c0af29313bc1f789271)\n",
+       "        marker_6f78eab9512cf4f02d470b7269335500.bindPopup(popup_0b77cc9ace0f84efd75987d902e7e5b4)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c77230880470144ab3862c0fa81b9779 = L.marker(\n",
+       "            var marker_d5f7c93c4fb5599d4ecf921714fd0aa5 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_05b581332dcd4c3956758186f3d5c755 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f6c5bb3cc8a3a76f6784c4ea7cbf926f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c77230880470144ab3862c0fa81b9779.setIcon(icon_05b581332dcd4c3956758186f3d5c755);\n",
+       "            marker_d5f7c93c4fb5599d4ecf921714fd0aa5.setIcon(icon_f6c5bb3cc8a3a76f6784c4ea7cbf926f);\n",
        "        \n",
        "    \n",
-       "        var popup_9206916cdfe23065e645ccf66547c5b9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_eb13d3ba116bbbd7fd2f4d54f76da415 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_525cbe4ea0d1b8fa2b57d744b362f2fe = $(`&lt;div id=&quot;html_525cbe4ea0d1b8fa2b57d744b362f2fe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Rhino Mobility&lt;/b&gt; &lt;br&gt;https://support.rhinomobility.com/security/releases&lt;/div&gt;`)[0];\n",
-       "                popup_9206916cdfe23065e645ccf66547c5b9.setContent(html_525cbe4ea0d1b8fa2b57d744b362f2fe);\n",
+       "                var html_c33983ca80a1792e1b7f114184ef6878 = $(`&lt;div id=&quot;html_c33983ca80a1792e1b7f114184ef6878&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Rhino Mobility&lt;/b&gt; &lt;br&gt;https://support.rhinomobility.com/security/releases&lt;/div&gt;`)[0];\n",
+       "                popup_eb13d3ba116bbbd7fd2f4d54f76da415.setContent(html_c33983ca80a1792e1b7f114184ef6878);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c77230880470144ab3862c0fa81b9779.bindPopup(popup_9206916cdfe23065e645ccf66547c5b9)\n",
+       "        marker_d5f7c93c4fb5599d4ecf921714fd0aa5.bindPopup(popup_eb13d3ba116bbbd7fd2f4d54f76da415)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_680105c0d6525ae0995a8cb803cc6641 = L.marker(\n",
+       "            var marker_2c67645cfa968bf6835c854e469ea5c5 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_134b0e4441ca27506d11ba6a9d87c635 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4de595908010adcca91d739e68b7f90c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_680105c0d6525ae0995a8cb803cc6641.setIcon(icon_134b0e4441ca27506d11ba6a9d87c635);\n",
+       "            marker_2c67645cfa968bf6835c854e469ea5c5.setIcon(icon_4de595908010adcca91d739e68b7f90c);\n",
        "        \n",
        "    \n",
-       "        var popup_0732dc53d7c6746503c0b070095208fb = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8ec3aecff02f559fee461e096dc94b3b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3d09869849953b8fc247d3e70bb2f601 = $(`&lt;div id=&quot;html_3d09869849953b8fc247d3e70bb2f601&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The OpenBMC Project&lt;/b&gt; &lt;br&gt;https://github.com/openbmc/openbmc/issues?utf8=%E2%9C%93&amp;q=Security+Advisory&lt;/div&gt;`)[0];\n",
-       "                popup_0732dc53d7c6746503c0b070095208fb.setContent(html_3d09869849953b8fc247d3e70bb2f601);\n",
+       "                var html_44608e03a8dcb72ca0ddb6fb7ddbe8ff = $(`&lt;div id=&quot;html_44608e03a8dcb72ca0ddb6fb7ddbe8ff&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The OpenBMC Project&lt;/b&gt; &lt;br&gt;https://github.com/openbmc/openbmc/issues?utf8=%E2%9C%93&amp;q=Security+Advisory&lt;/div&gt;`)[0];\n",
+       "                popup_8ec3aecff02f559fee461e096dc94b3b.setContent(html_44608e03a8dcb72ca0ddb6fb7ddbe8ff);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_680105c0d6525ae0995a8cb803cc6641.bindPopup(popup_0732dc53d7c6746503c0b070095208fb)\n",
+       "        marker_2c67645cfa968bf6835c854e469ea5c5.bindPopup(popup_8ec3aecff02f559fee461e096dc94b3b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e366213f997770be076b1bdd2a2aaec7 = L.marker(\n",
+       "            var marker_a8cc3c0c461e4cd0ba442fd11f941334 = L.marker(\n",
        "                [52.2434979, 5.6343227],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d3eea418ca72df81a1b98ad29249dc41 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_02a05cb240a56015734c75a6a9ce01f1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e366213f997770be076b1bdd2a2aaec7.setIcon(icon_d3eea418ca72df81a1b98ad29249dc41);\n",
+       "            marker_a8cc3c0c461e4cd0ba442fd11f941334.setIcon(icon_02a05cb240a56015734c75a6a9ce01f1);\n",
        "        \n",
        "    \n",
-       "        var popup_e82054b6aab8e1098cd7c77ac1bdc8b3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_cde290d674d23726faf2e576501d5038 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f5a933eba87f8395570a271a84bce237 = $(`&lt;div id=&quot;html_f5a933eba87f8395570a271a84bce237&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dutch Institute for Vulnerability Disclosure (DIVD)&lt;/b&gt; &lt;br&gt;https://csirt.divd.nl/cves/&lt;/div&gt;`)[0];\n",
-       "                popup_e82054b6aab8e1098cd7c77ac1bdc8b3.setContent(html_f5a933eba87f8395570a271a84bce237);\n",
+       "                var html_e90ba9b7240e7bff8c3608f87954adfc = $(`&lt;div id=&quot;html_e90ba9b7240e7bff8c3608f87954adfc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dutch Institute for Vulnerability Disclosure (DIVD)&lt;/b&gt; &lt;br&gt;https://csirt.divd.nl/cves/&lt;/div&gt;`)[0];\n",
+       "                popup_cde290d674d23726faf2e576501d5038.setContent(html_e90ba9b7240e7bff8c3608f87954adfc);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e366213f997770be076b1bdd2a2aaec7.bindPopup(popup_e82054b6aab8e1098cd7c77ac1bdc8b3)\n",
+       "        marker_a8cc3c0c461e4cd0ba442fd11f941334.bindPopup(popup_cde290d674d23726faf2e576501d5038)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8b7a867e8add3a6dba852e90d13b8455 = L.marker(\n",
+       "            var marker_0785aeb66a11d2085897b992d00de729 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_68d1f5f202fd4a47c7c5ea9904463e84 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6626eb1109a19d384c9f0fc8f611d590 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8b7a867e8add3a6dba852e90d13b8455.setIcon(icon_68d1f5f202fd4a47c7c5ea9904463e84);\n",
+       "            marker_0785aeb66a11d2085897b992d00de729.setIcon(icon_6626eb1109a19d384c9f0fc8f611d590);\n",
        "        \n",
        "    \n",
-       "        var popup_15f2dfd4bd570fa40ad0b9daa04fa2f9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_944dd5fbee611b6e76be701adfce3b7c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f49f16f497b40f4e96a0706fa814cdaa = $(`&lt;div id=&quot;html_f49f16f497b40f4e96a0706fa814cdaa&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Baxter Healthcare&lt;/b&gt; &lt;br&gt;https://www.baxter.com/product-security#additionalresources&lt;/div&gt;`)[0];\n",
-       "                popup_15f2dfd4bd570fa40ad0b9daa04fa2f9.setContent(html_f49f16f497b40f4e96a0706fa814cdaa);\n",
+       "                var html_5726afcd28e82b79a48f16f5df01653f = $(`&lt;div id=&quot;html_5726afcd28e82b79a48f16f5df01653f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Baxter Healthcare&lt;/b&gt; &lt;br&gt;https://www.baxter.com/product-security#additionalresources&lt;/div&gt;`)[0];\n",
+       "                popup_944dd5fbee611b6e76be701adfce3b7c.setContent(html_5726afcd28e82b79a48f16f5df01653f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8b7a867e8add3a6dba852e90d13b8455.bindPopup(popup_15f2dfd4bd570fa40ad0b9daa04fa2f9)\n",
+       "        marker_0785aeb66a11d2085897b992d00de729.bindPopup(popup_944dd5fbee611b6e76be701adfce3b7c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_08f15a9914d5e841be34c3a966f8123a = L.marker(\n",
+       "            var marker_5f08e75f9d2313022ae339d16b3dc208 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_06b1f06857348a7efa82f9013d135f39 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5cba3623105308b79bd0e7c473589bf9 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_08f15a9914d5e841be34c3a966f8123a.setIcon(icon_06b1f06857348a7efa82f9013d135f39);\n",
+       "            marker_5f08e75f9d2313022ae339d16b3dc208.setIcon(icon_5cba3623105308b79bd0e7c473589bf9);\n",
        "        \n",
        "    \n",
-       "        var popup_0e5ca4525be95389e6cef89a5fe21442 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bffa32c349267efed6a40debea4d50f6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_768d4c74adc3193ebb7f5a57b458db15 = $(`&lt;div id=&quot;html_768d4c74adc3193ebb7f5a57b458db15&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Citrix Systems, Inc.&lt;/b&gt; &lt;br&gt;https://support.citrix.com/securitybulletins&lt;/div&gt;`)[0];\n",
-       "                popup_0e5ca4525be95389e6cef89a5fe21442.setContent(html_768d4c74adc3193ebb7f5a57b458db15);\n",
+       "                var html_fa6326ce5180443a01b26e324d7dadd4 = $(`&lt;div id=&quot;html_fa6326ce5180443a01b26e324d7dadd4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Citrix Systems, Inc.&lt;/b&gt; &lt;br&gt;https://support.citrix.com/securitybulletins&lt;/div&gt;`)[0];\n",
+       "                popup_bffa32c349267efed6a40debea4d50f6.setContent(html_fa6326ce5180443a01b26e324d7dadd4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_08f15a9914d5e841be34c3a966f8123a.bindPopup(popup_0e5ca4525be95389e6cef89a5fe21442)\n",
+       "        marker_5f08e75f9d2313022ae339d16b3dc208.bindPopup(popup_bffa32c349267efed6a40debea4d50f6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c42565bb6a35107bb2433a3a27099444 = L.marker(\n",
+       "            var marker_daaff4b283a75db173163d9b22b78674 = L.marker(\n",
        "                [49.7439047, 15.3381061],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_286224a71f00aa518ac941eb680b4a38 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_17e73d3dc907d3aaeb22d5d0ea7c8cac = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c42565bb6a35107bb2433a3a27099444.setIcon(icon_286224a71f00aa518ac941eb680b4a38);\n",
+       "            marker_daaff4b283a75db173163d9b22b78674.setIcon(icon_17e73d3dc907d3aaeb22d5d0ea7c8cac);\n",
        "        \n",
        "    \n",
-       "        var popup_2331f3c65c3b9c309ac46133f751e833 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ce9e15e8544a345c112f82b25c439cb7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b3edac975f9b00553785cc7bf20258f2 = $(`&lt;div id=&quot;html_b3edac975f9b00553785cc7bf20258f2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;JetBrains s.r.o.&lt;/b&gt; &lt;br&gt;https://www.jetbrains.com/privacy-security/issues-fixed/&lt;/div&gt;`)[0];\n",
-       "                popup_2331f3c65c3b9c309ac46133f751e833.setContent(html_b3edac975f9b00553785cc7bf20258f2);\n",
+       "                var html_9daf890dec7be18f532f71964e4668eb = $(`&lt;div id=&quot;html_9daf890dec7be18f532f71964e4668eb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;JetBrains s.r.o.&lt;/b&gt; &lt;br&gt;https://www.jetbrains.com/privacy-security/issues-fixed/&lt;/div&gt;`)[0];\n",
+       "                popup_ce9e15e8544a345c112f82b25c439cb7.setContent(html_9daf890dec7be18f532f71964e4668eb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c42565bb6a35107bb2433a3a27099444.bindPopup(popup_2331f3c65c3b9c309ac46133f751e833)\n",
+       "        marker_daaff4b283a75db173163d9b22b78674.bindPopup(popup_ce9e15e8544a345c112f82b25c439cb7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_54e790da03491d4922de82d90663d645 = L.marker(\n",
+       "            var marker_58acff759ae0bcf1a6246602dae24d6a = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_eb2f7d9da08cabef4128a9349deedaf5 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f103a44fe69e7c48b562b41042cc630b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_54e790da03491d4922de82d90663d645.setIcon(icon_eb2f7d9da08cabef4128a9349deedaf5);\n",
+       "            marker_58acff759ae0bcf1a6246602dae24d6a.setIcon(icon_f103a44fe69e7c48b562b41042cc630b);\n",
        "        \n",
        "    \n",
-       "        var popup_9a52e3537e05705b36268d1de62fbfa5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ebc47feb23f6ca3cc427ce122c5955ed = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e42fd9b1880a712bd91bad3cddd21070 = $(`&lt;div id=&quot;html_e42fd9b1880a712bd91bad3cddd21070&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Medtronic&lt;/b&gt; &lt;br&gt;https://global.medtronic.com/xg-en/product-security/security-bulletins.html&lt;/div&gt;`)[0];\n",
-       "                popup_9a52e3537e05705b36268d1de62fbfa5.setContent(html_e42fd9b1880a712bd91bad3cddd21070);\n",
+       "                var html_9a182af32f96b87673326b889ae9d8ce = $(`&lt;div id=&quot;html_9a182af32f96b87673326b889ae9d8ce&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Medtronic&lt;/b&gt; &lt;br&gt;https://global.medtronic.com/xg-en/product-security/security-bulletins.html&lt;/div&gt;`)[0];\n",
+       "                popup_ebc47feb23f6ca3cc427ce122c5955ed.setContent(html_9a182af32f96b87673326b889ae9d8ce);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_54e790da03491d4922de82d90663d645.bindPopup(popup_9a52e3537e05705b36268d1de62fbfa5)\n",
+       "        marker_58acff759ae0bcf1a6246602dae24d6a.bindPopup(popup_ebc47feb23f6ca3cc427ce122c5955ed)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_067d939544a0c48ad3446d55b3269230 = L.marker(\n",
+       "            var marker_145829c65aa79d2734fd9eda90bec52e = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_87f8f5fa79258e57725abf05c06de95c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_43da05851e5f5ab1419f0a295f9106b5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_067d939544a0c48ad3446d55b3269230.setIcon(icon_87f8f5fa79258e57725abf05c06de95c);\n",
+       "            marker_145829c65aa79d2734fd9eda90bec52e.setIcon(icon_43da05851e5f5ab1419f0a295f9106b5);\n",
        "        \n",
        "    \n",
-       "        var popup_c3d6bac60e285dd18a9dedb93d03118b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_32ccc04508ab6774cbeafc41a314721f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4305435d53916df0893d679bcad0c101 = $(`&lt;div id=&quot;html_4305435d53916df0893d679bcad0c101&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Automotive Security Research Group (ASRG)&lt;/b&gt; &lt;br&gt;https://www.asrg.io/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_c3d6bac60e285dd18a9dedb93d03118b.setContent(html_4305435d53916df0893d679bcad0c101);\n",
+       "                var html_52d5341f6b7efe2a4b6f706997928662 = $(`&lt;div id=&quot;html_52d5341f6b7efe2a4b6f706997928662&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Automotive Security Research Group (ASRG)&lt;/b&gt; &lt;br&gt;https://www.asrg.io/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_32ccc04508ab6774cbeafc41a314721f.setContent(html_52d5341f6b7efe2a4b6f706997928662);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_067d939544a0c48ad3446d55b3269230.bindPopup(popup_c3d6bac60e285dd18a9dedb93d03118b)\n",
+       "        marker_145829c65aa79d2734fd9eda90bec52e.bindPopup(popup_32ccc04508ab6774cbeafc41a314721f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c48a09ceca7f03a5c02fc9e4ba7955ef = L.marker(\n",
+       "            var marker_002faa9bfa4c16435bdf11ab723a4974 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1e17864485027d2dbd36dd8355eb6ba3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e23db7b9a8aa89e1d092fab0e834e414 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c48a09ceca7f03a5c02fc9e4ba7955ef.setIcon(icon_1e17864485027d2dbd36dd8355eb6ba3);\n",
+       "            marker_002faa9bfa4c16435bdf11ab723a4974.setIcon(icon_e23db7b9a8aa89e1d092fab0e834e414);\n",
        "        \n",
        "    \n",
-       "        var popup_c417e75ff149eb5d048b53ac3a0e09ad = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_adf7faa0683e5064dbea8dc46d3cbcb6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9866a1860054be4c99f55c971fc1ba6d = $(`&lt;div id=&quot;html_9866a1860054be4c99f55c971fc1ba6d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Netskope&lt;/b&gt; &lt;br&gt;https://www.netskope.com/company/security-compliance-and-assurance/security-advisories-and-disclosures&lt;/div&gt;`)[0];\n",
-       "                popup_c417e75ff149eb5d048b53ac3a0e09ad.setContent(html_9866a1860054be4c99f55c971fc1ba6d);\n",
+       "                var html_dcf4c8f96fbb4118e38ed0422b46ac38 = $(`&lt;div id=&quot;html_dcf4c8f96fbb4118e38ed0422b46ac38&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Netskope&lt;/b&gt; &lt;br&gt;https://www.netskope.com/company/security-compliance-and-assurance/security-advisories-and-disclosures&lt;/div&gt;`)[0];\n",
+       "                popup_adf7faa0683e5064dbea8dc46d3cbcb6.setContent(html_dcf4c8f96fbb4118e38ed0422b46ac38);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c48a09ceca7f03a5c02fc9e4ba7955ef.bindPopup(popup_c417e75ff149eb5d048b53ac3a0e09ad)\n",
+       "        marker_002faa9bfa4c16435bdf11ab723a4974.bindPopup(popup_adf7faa0683e5064dbea8dc46d3cbcb6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4651654a86a8dec63ee924dcc7e1ecbe = L.marker(\n",
+       "            var marker_335ec433b25696a9d4143f57c0e0a3ad = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6b5d0e3fbaf9e6f38fbb9f84d6788ffc = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9fa07d1de6ab510aa2f8f34e41838d9a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4651654a86a8dec63ee924dcc7e1ecbe.setIcon(icon_6b5d0e3fbaf9e6f38fbb9f84d6788ffc);\n",
+       "            marker_335ec433b25696a9d4143f57c0e0a3ad.setIcon(icon_9fa07d1de6ab510aa2f8f34e41838d9a);\n",
        "        \n",
        "    \n",
-       "        var popup_70c86eabab43dce826913eea07ab53d5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d8c9961666ccabf0c282651baa0cdb8a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8367461d1428358b8f730f6456fa6654 = $(`&lt;div id=&quot;html_8367461d1428358b8f730f6456fa6654&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Go Project&lt;/b&gt; &lt;br&gt;https://pkg.go.dev/vuln/list&lt;/div&gt;`)[0];\n",
-       "                popup_70c86eabab43dce826913eea07ab53d5.setContent(html_8367461d1428358b8f730f6456fa6654);\n",
+       "                var html_da2dfaf8bbad40a9a87f7a8235ccfed3 = $(`&lt;div id=&quot;html_da2dfaf8bbad40a9a87f7a8235ccfed3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Go Project&lt;/b&gt; &lt;br&gt;https://pkg.go.dev/vuln/list&lt;/div&gt;`)[0];\n",
+       "                popup_d8c9961666ccabf0c282651baa0cdb8a.setContent(html_da2dfaf8bbad40a9a87f7a8235ccfed3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4651654a86a8dec63ee924dcc7e1ecbe.bindPopup(popup_70c86eabab43dce826913eea07ab53d5)\n",
+       "        marker_335ec433b25696a9d4143f57c0e0a3ad.bindPopup(popup_d8c9961666ccabf0c282651baa0cdb8a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_67c44b6ed957f5e076b80722950e60f6 = L.marker(\n",
+       "            var marker_f513823d7220227722cc19b673655b81 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_10652252185656f410d76591cd4a21d6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_27bce6894516c0e319dbf76355b054db = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_67c44b6ed957f5e076b80722950e60f6.setIcon(icon_10652252185656f410d76591cd4a21d6);\n",
+       "            marker_f513823d7220227722cc19b673655b81.setIcon(icon_27bce6894516c0e319dbf76355b054db);\n",
        "        \n",
        "    \n",
-       "        var popup_bd9dd02b0e0c0b11f33307c8474a0489 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_10b77c19840bd0e4bc50de7605bf16d0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_993776ac77332efd6461906d07a4d665 = $(`&lt;div id=&quot;html_993776ac77332efd6461906d07a4d665&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;General Electric (Gas Power)&lt;/b&gt; &lt;br&gt;https://www.ge.com/gas-power/products/digital-and-controls/cybersecurity/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_bd9dd02b0e0c0b11f33307c8474a0489.setContent(html_993776ac77332efd6461906d07a4d665);\n",
+       "                var html_39871f44c8a7fc1dcc9f4486abb671aa = $(`&lt;div id=&quot;html_39871f44c8a7fc1dcc9f4486abb671aa&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;General Electric (Gas Power)&lt;/b&gt; &lt;br&gt;https://www.ge.com/gas-power/products/digital-and-controls/cybersecurity/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_10b77c19840bd0e4bc50de7605bf16d0.setContent(html_39871f44c8a7fc1dcc9f4486abb671aa);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_67c44b6ed957f5e076b80722950e60f6.bindPopup(popup_bd9dd02b0e0c0b11f33307c8474a0489)\n",
+       "        marker_f513823d7220227722cc19b673655b81.bindPopup(popup_10b77c19840bd0e4bc50de7605bf16d0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d8a7cccec5a2c35756fa1f40de3fe7ff = L.marker(\n",
+       "            var marker_8f2b8860cc64362acdfc09d491cb30c1 = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_df354d1ff6be14d36988c5fe7b91ff31 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7ec7e637fdc34926c648bc22c51d1a46 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d8a7cccec5a2c35756fa1f40de3fe7ff.setIcon(icon_df354d1ff6be14d36988c5fe7b91ff31);\n",
+       "            marker_8f2b8860cc64362acdfc09d491cb30c1.setIcon(icon_7ec7e637fdc34926c648bc22c51d1a46);\n",
        "        \n",
        "    \n",
-       "        var popup_0b07abbe91c8efe582dbbc3ac2a5feeb = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9c0108a53b47acda9741ab9a8c18b55f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6d47fdb8d3a671dc2369ec80001031d6 = $(`&lt;div id=&quot;html_6d47fdb8d3a671dc2369ec80001031d6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ZUSO Advanced Research Team (ZUSO ART)&lt;/b&gt; &lt;br&gt;https://zuso.ai/Advisory.html&lt;/div&gt;`)[0];\n",
-       "                popup_0b07abbe91c8efe582dbbc3ac2a5feeb.setContent(html_6d47fdb8d3a671dc2369ec80001031d6);\n",
+       "                var html_085f51140d383cf738d2c72a8b7a191d = $(`&lt;div id=&quot;html_085f51140d383cf738d2c72a8b7a191d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ZUSO Advanced Research Team (ZUSO ART)&lt;/b&gt; &lt;br&gt;https://zuso.ai/Advisory.html&lt;/div&gt;`)[0];\n",
+       "                popup_9c0108a53b47acda9741ab9a8c18b55f.setContent(html_085f51140d383cf738d2c72a8b7a191d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d8a7cccec5a2c35756fa1f40de3fe7ff.bindPopup(popup_0b07abbe91c8efe582dbbc3ac2a5feeb)\n",
+       "        marker_8f2b8860cc64362acdfc09d491cb30c1.bindPopup(popup_9c0108a53b47acda9741ab9a8c18b55f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2b4098b7bea6c767f8f0883ade15e6d9 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_c069409c0d127cc9fdb6abbb6ca8349b = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f10d054073edfd73682e03b270f8f576 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6b72f82e072ad84668936c607705780a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2b4098b7bea6c767f8f0883ade15e6d9.setIcon(icon_f10d054073edfd73682e03b270f8f576);\n",
+       "            marker_c069409c0d127cc9fdb6abbb6ca8349b.setIcon(icon_6b72f82e072ad84668936c607705780a);\n",
        "        \n",
        "    \n",
-       "        var popup_4f5ff19c78134168f5f7685c5d463251 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0891e962f28a72fd65fecfe14a28fe59 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4e251c20c84af251eb1db87d9fb004a2 = $(`&lt;div id=&quot;html_4e251c20c84af251eb1db87d9fb004a2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenAnolis&lt;/b&gt; &lt;br&gt;https://anas.openanolis.cn/errata&lt;/div&gt;`)[0];\n",
-       "                popup_4f5ff19c78134168f5f7685c5d463251.setContent(html_4e251c20c84af251eb1db87d9fb004a2);\n",
+       "                var html_00dfa47328758c35a78226975b409006 = $(`&lt;div id=&quot;html_00dfa47328758c35a78226975b409006&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenAnolis&lt;/b&gt; &lt;br&gt;https://anas.openanolis.cn/errata&lt;/div&gt;`)[0];\n",
+       "                popup_0891e962f28a72fd65fecfe14a28fe59.setContent(html_00dfa47328758c35a78226975b409006);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2b4098b7bea6c767f8f0883ade15e6d9.bindPopup(popup_4f5ff19c78134168f5f7685c5d463251)\n",
+       "        marker_c069409c0d127cc9fdb6abbb6ca8349b.bindPopup(popup_0891e962f28a72fd65fecfe14a28fe59)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_30d53f19c84f79ed548ea6b5033d7574 = L.marker(\n",
+       "            var marker_3dca5c4f88ad2d505a80a895050ea3d6 = L.marker(\n",
        "                [52.2434979, 5.6343227],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4069d86e5841b77585e3fec5cbb24d5d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_83337413318da88555ad75a273931b65 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_30d53f19c84f79ed548ea6b5033d7574.setIcon(icon_4069d86e5841b77585e3fec5cbb24d5d);\n",
+       "            marker_3dca5c4f88ad2d505a80a895050ea3d6.setIcon(icon_83337413318da88555ad75a273931b65);\n",
        "        \n",
        "    \n",
-       "        var popup_e55b746faea7e5b6ed966b1b57b2e2cb = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_af28a8239e18cb7ec07b19e669803e7e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_84a9f2f11d1ddebc549a8cb45a0843d1 = $(`&lt;div id=&quot;html_84a9f2f11d1ddebc549a8cb45a0843d1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Philips&lt;/b&gt; &lt;br&gt;https://www.philips.com/a-w/security/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_e55b746faea7e5b6ed966b1b57b2e2cb.setContent(html_84a9f2f11d1ddebc549a8cb45a0843d1);\n",
+       "                var html_163bc6fbb742e4fef73a93d30a8e6c42 = $(`&lt;div id=&quot;html_163bc6fbb742e4fef73a93d30a8e6c42&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Philips&lt;/b&gt; &lt;br&gt;https://www.philips.com/a-w/security/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_af28a8239e18cb7ec07b19e669803e7e.setContent(html_163bc6fbb742e4fef73a93d30a8e6c42);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_30d53f19c84f79ed548ea6b5033d7574.bindPopup(popup_e55b746faea7e5b6ed966b1b57b2e2cb)\n",
+       "        marker_3dca5c4f88ad2d505a80a895050ea3d6.bindPopup(popup_af28a8239e18cb7ec07b19e669803e7e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_788c5fd143754ca543355423cc123c89 = L.marker(\n",
+       "            var marker_94411d433e9be0e7327bd130e76de59f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cb94dffda29d4d06b6269d40158b3392 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cdd506bd68607c8caad7a6ba3c42b237 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_788c5fd143754ca543355423cc123c89.setIcon(icon_cb94dffda29d4d06b6269d40158b3392);\n",
+       "            marker_94411d433e9be0e7327bd130e76de59f.setIcon(icon_cdd506bd68607c8caad7a6ba3c42b237);\n",
        "        \n",
        "    \n",
-       "        var popup_7c369d807eac68cc17891013120f94e0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6c35474dc9b004a8ff462cb4276c1004 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_faffd649b0a32afe8011ccdabae4b166 = $(`&lt;div id=&quot;html_faffd649b0a32afe8011ccdabae4b166&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HYPR Corp&lt;/b&gt; &lt;br&gt;https://www.hypr.com/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_7c369d807eac68cc17891013120f94e0.setContent(html_faffd649b0a32afe8011ccdabae4b166);\n",
+       "                var html_b399e3a7aa3427083e8736902afacebe = $(`&lt;div id=&quot;html_b399e3a7aa3427083e8736902afacebe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HYPR Corp&lt;/b&gt; &lt;br&gt;https://www.hypr.com/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_6c35474dc9b004a8ff462cb4276c1004.setContent(html_b399e3a7aa3427083e8736902afacebe);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_788c5fd143754ca543355423cc123c89.bindPopup(popup_7c369d807eac68cc17891013120f94e0)\n",
+       "        marker_94411d433e9be0e7327bd130e76de59f.bindPopup(popup_6c35474dc9b004a8ff462cb4276c1004)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_dedaec59c0ab1ea9311ff22cb4e52f54 = L.marker(\n",
+       "            var marker_bf7b1d01e629049512470c64428731d7 = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7f4849581b2f7684f1e56b6656f2d439 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_548015fb25a7e9f3e6b57029d9a929a9 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_dedaec59c0ab1ea9311ff22cb4e52f54.setIcon(icon_7f4849581b2f7684f1e56b6656f2d439);\n",
+       "            marker_bf7b1d01e629049512470c64428731d7.setIcon(icon_548015fb25a7e9f3e6b57029d9a929a9);\n",
        "        \n",
        "    \n",
-       "        var popup_4e17d29fd418747da95be5b4f7cc7e3d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8351c2cc4f3ce5a04de6408e6bba4eef = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c7b3a32edd89d153cb0a56bffc3b1ae2 = $(`&lt;div id=&quot;html_c7b3a32edd89d153cb0a56bffc3b1ae2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hitachi, Ltd.&lt;/b&gt; &lt;br&gt;https://www.hitachi.com/hirt/security/security.html&lt;/div&gt;`)[0];\n",
-       "                popup_4e17d29fd418747da95be5b4f7cc7e3d.setContent(html_c7b3a32edd89d153cb0a56bffc3b1ae2);\n",
+       "                var html_1b72839faee12b0a8429107d1af7063c = $(`&lt;div id=&quot;html_1b72839faee12b0a8429107d1af7063c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hitachi, Ltd.&lt;/b&gt; &lt;br&gt;https://www.hitachi.com/hirt/security/security.html&lt;/div&gt;`)[0];\n",
+       "                popup_8351c2cc4f3ce5a04de6408e6bba4eef.setContent(html_1b72839faee12b0a8429107d1af7063c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_dedaec59c0ab1ea9311ff22cb4e52f54.bindPopup(popup_4e17d29fd418747da95be5b4f7cc7e3d)\n",
+       "        marker_bf7b1d01e629049512470c64428731d7.bindPopup(popup_8351c2cc4f3ce5a04de6408e6bba4eef)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7bf88e3923533736be55b5a047852646 = L.marker(\n",
+       "            var marker_5bfea0c77f1c0ee2e10128080dd9b987 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ac793c4552cee45f1246089ef0bae109 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_46eac279978562422d92262187b39e4d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7bf88e3923533736be55b5a047852646.setIcon(icon_ac793c4552cee45f1246089ef0bae109);\n",
+       "            marker_5bfea0c77f1c0ee2e10128080dd9b987.setIcon(icon_46eac279978562422d92262187b39e4d);\n",
        "        \n",
        "    \n",
-       "        var popup_43b4886a78470d449007ab4bb9f2257d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8227129844097eaa0c26778e782d832f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_db8cec751771c33e8dc36b711ecebd6a = $(`&lt;div id=&quot;html_db8cec751771c33e8dc36b711ecebd6a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hallo Welt! GmbH&lt;/b&gt; &lt;br&gt;https://en.wiki.bluespice.com/wiki/Security:Security_Advisories&lt;/div&gt;`)[0];\n",
-       "                popup_43b4886a78470d449007ab4bb9f2257d.setContent(html_db8cec751771c33e8dc36b711ecebd6a);\n",
+       "                var html_20586b35edc92b1e7a6f447717e7ad4f = $(`&lt;div id=&quot;html_20586b35edc92b1e7a6f447717e7ad4f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hallo Welt! GmbH&lt;/b&gt; &lt;br&gt;https://en.wiki.bluespice.com/wiki/Security:Security_Advisories&lt;/div&gt;`)[0];\n",
+       "                popup_8227129844097eaa0c26778e782d832f.setContent(html_20586b35edc92b1e7a6f447717e7ad4f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7bf88e3923533736be55b5a047852646.bindPopup(popup_43b4886a78470d449007ab4bb9f2257d)\n",
+       "        marker_5bfea0c77f1c0ee2e10128080dd9b987.bindPopup(popup_8227129844097eaa0c26778e782d832f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a5e7dea0059fa07a28dc3f1d5e0e0ca9 = L.marker(\n",
+       "            var marker_95f62ed91950ea6922273f923f15eeb8 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_28c572276243ba3597c5bda6752c4ea6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_759b8553a12cb65ce7059385386d139a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a5e7dea0059fa07a28dc3f1d5e0e0ca9.setIcon(icon_28c572276243ba3597c5bda6752c4ea6);\n",
+       "            marker_95f62ed91950ea6922273f923f15eeb8.setIcon(icon_759b8553a12cb65ce7059385386d139a);\n",
        "        \n",
        "    \n",
-       "        var popup_afd12cbf2e6196414084127c6d1d02d1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_43a10a6cb2cd0283d53d290ffdd8ee2c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_35b8e62b261b33ebc8abf8d6ae3c8d8e = $(`&lt;div id=&quot;html_35b8e62b261b33ebc8abf8d6ae3c8d8e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SailPoint Technologies&lt;/b&gt; &lt;br&gt;https://www.sailpoint.com/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_afd12cbf2e6196414084127c6d1d02d1.setContent(html_35b8e62b261b33ebc8abf8d6ae3c8d8e);\n",
+       "                var html_19105212e4034dd94e66dba853ec6f62 = $(`&lt;div id=&quot;html_19105212e4034dd94e66dba853ec6f62&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SailPoint Technologies&lt;/b&gt; &lt;br&gt;https://www.sailpoint.com/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_43a10a6cb2cd0283d53d290ffdd8ee2c.setContent(html_19105212e4034dd94e66dba853ec6f62);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a5e7dea0059fa07a28dc3f1d5e0e0ca9.bindPopup(popup_afd12cbf2e6196414084127c6d1d02d1)\n",
+       "        marker_95f62ed91950ea6922273f923f15eeb8.bindPopup(popup_43a10a6cb2cd0283d53d290ffdd8ee2c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0b4aa03ae862e6367fca4547e76c6679 = L.marker(\n",
+       "            var marker_bd9c329c294f5ad94ef0c072914379ed = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9047487f39b7c37d5f95d3cea9882fb9 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_17554fe63749cdab74b32512cbc851c3 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0b4aa03ae862e6367fca4547e76c6679.setIcon(icon_9047487f39b7c37d5f95d3cea9882fb9);\n",
+       "            marker_bd9c329c294f5ad94ef0c072914379ed.setIcon(icon_17554fe63749cdab74b32512cbc851c3);\n",
        "        \n",
        "    \n",
-       "        var popup_694c0dd01d197caed5f1dbad33dfa6d8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2183a482c54d18b8061ba2ce50655f5e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_eca1c1f7e62ea022166bbd9acda6762e = $(`&lt;div id=&quot;html_eca1c1f7e62ea022166bbd9acda6762e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hitachi Vantara&lt;/b&gt; &lt;br&gt;https://www.hitachi.com/hirt/security/security.html&lt;/div&gt;`)[0];\n",
-       "                popup_694c0dd01d197caed5f1dbad33dfa6d8.setContent(html_eca1c1f7e62ea022166bbd9acda6762e);\n",
+       "                var html_a3de7bd8cc9153065407c8bbe7140d8c = $(`&lt;div id=&quot;html_a3de7bd8cc9153065407c8bbe7140d8c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hitachi Vantara&lt;/b&gt; &lt;br&gt;https://www.hitachi.com/hirt/security/security.html&lt;/div&gt;`)[0];\n",
+       "                popup_2183a482c54d18b8061ba2ce50655f5e.setContent(html_a3de7bd8cc9153065407c8bbe7140d8c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0b4aa03ae862e6367fca4547e76c6679.bindPopup(popup_694c0dd01d197caed5f1dbad33dfa6d8)\n",
+       "        marker_bd9c329c294f5ad94ef0c072914379ed.bindPopup(popup_2183a482c54d18b8061ba2ce50655f5e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6a85fa8be2d397d061f55572d4ef8411 = L.marker(\n",
+       "            var marker_88da16a13d582ad60e71115e46112d45 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b813c221f87e301637b4e668ab5a6dff = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_667d05bc47ed4176ba647af9988dee1c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6a85fa8be2d397d061f55572d4ef8411.setIcon(icon_b813c221f87e301637b4e668ab5a6dff);\n",
+       "            marker_88da16a13d582ad60e71115e46112d45.setIcon(icon_667d05bc47ed4176ba647af9988dee1c);\n",
        "        \n",
        "    \n",
-       "        var popup_f99e5783dd61f652473a289fbf67d373 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_43766215d5eb8f46fc0b37e6c3ccfcb6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_10a78ee3c9f25018f9e4d7e666cde4c2 = $(`&lt;div id=&quot;html_10a78ee3c9f25018f9e4d7e666cde4c2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GE Healthcare&lt;/b&gt; &lt;br&gt;https://www.gehealthcare.com/security&lt;/div&gt;`)[0];\n",
-       "                popup_f99e5783dd61f652473a289fbf67d373.setContent(html_10a78ee3c9f25018f9e4d7e666cde4c2);\n",
+       "                var html_2f95540896312e22501d0aecbfaa3db7 = $(`&lt;div id=&quot;html_2f95540896312e22501d0aecbfaa3db7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GE Healthcare&lt;/b&gt; &lt;br&gt;https://www.gehealthcare.com/security&lt;/div&gt;`)[0];\n",
+       "                popup_43766215d5eb8f46fc0b37e6c3ccfcb6.setContent(html_2f95540896312e22501d0aecbfaa3db7);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6a85fa8be2d397d061f55572d4ef8411.bindPopup(popup_f99e5783dd61f652473a289fbf67d373)\n",
+       "        marker_88da16a13d582ad60e71115e46112d45.bindPopup(popup_43766215d5eb8f46fc0b37e6c3ccfcb6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f91ea6c757a484c9d4bec9093092bf21 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_52404793c4ca73ab95339549ec4203db = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_872624019ce240dc7d5641de619e08cf = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_143c5742822130df9d2ae1bfe0ad36a5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f91ea6c757a484c9d4bec9093092bf21.setIcon(icon_872624019ce240dc7d5641de619e08cf);\n",
+       "            marker_52404793c4ca73ab95339549ec4203db.setIcon(icon_143c5742822130df9d2ae1bfe0ad36a5);\n",
        "        \n",
        "    \n",
-       "        var popup_4f947f8ff31ce9c538c54b116f71fb93 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0824882ecd0021ea31ad7e21c75ad3c9 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_686da4b0d162e52599153641daae36af = $(`&lt;div id=&quot;html_686da4b0d162e52599153641daae36af&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;openGauss Community&lt;/b&gt; &lt;br&gt;https://gitee.com/opengauss/security&lt;/div&gt;`)[0];\n",
-       "                popup_4f947f8ff31ce9c538c54b116f71fb93.setContent(html_686da4b0d162e52599153641daae36af);\n",
+       "                var html_7964bf14c7602c5fad80d414df9b74fc = $(`&lt;div id=&quot;html_7964bf14c7602c5fad80d414df9b74fc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;openGauss Community&lt;/b&gt; &lt;br&gt;https://gitee.com/opengauss/security&lt;/div&gt;`)[0];\n",
+       "                popup_0824882ecd0021ea31ad7e21c75ad3c9.setContent(html_7964bf14c7602c5fad80d414df9b74fc);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f91ea6c757a484c9d4bec9093092bf21.bindPopup(popup_4f947f8ff31ce9c538c54b116f71fb93)\n",
+       "        marker_52404793c4ca73ab95339549ec4203db.bindPopup(popup_0824882ecd0021ea31ad7e21c75ad3c9)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3cc784527dca0e1b304bbc88581f41cc = L.marker(\n",
+       "            var marker_2df76fb1c2e8d9c07a9510fc3c0d0fe6 = L.marker(\n",
        "                [-10.3333333, -53.2],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b281f65e91c81d701d818fcd60153bf7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c5735aa6d9a133d4fbf4590327527176 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3cc784527dca0e1b304bbc88581f41cc.setIcon(icon_b281f65e91c81d701d818fcd60153bf7);\n",
+       "            marker_2df76fb1c2e8d9c07a9510fc3c0d0fe6.setIcon(icon_c5735aa6d9a133d4fbf4590327527176);\n",
        "        \n",
        "    \n",
-       "        var popup_febe9e1dbe3384e7f65d57016482b2dd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_511ae787f192b2d235216361f0e65abe = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_cf01dc05436fc01f932e60110e04108e = $(`&lt;div id=&quot;html_cf01dc05436fc01f932e60110e04108e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;FULL INTERNET&lt;/b&gt; &lt;br&gt;https://security.fullstackagency.club/&lt;/div&gt;`)[0];\n",
-       "                popup_febe9e1dbe3384e7f65d57016482b2dd.setContent(html_cf01dc05436fc01f932e60110e04108e);\n",
+       "                var html_7c419cb0c676e686fa0759e849f1e3a3 = $(`&lt;div id=&quot;html_7c419cb0c676e686fa0759e849f1e3a3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;FULL INTERNET&lt;/b&gt; &lt;br&gt;https://security.fullstackagency.club/&lt;/div&gt;`)[0];\n",
+       "                popup_511ae787f192b2d235216361f0e65abe.setContent(html_7c419cb0c676e686fa0759e849f1e3a3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3cc784527dca0e1b304bbc88581f41cc.bindPopup(popup_febe9e1dbe3384e7f65d57016482b2dd)\n",
+       "        marker_2df76fb1c2e8d9c07a9510fc3c0d0fe6.bindPopup(popup_511ae787f192b2d235216361f0e65abe)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_85b3378c0d9ff1e6defd3c64f437ace9 = L.marker(\n",
+       "            var marker_7c43ea4f4f8969b5b5fb492c28e0b45e = L.marker(\n",
        "                [-24.7761086, 134.755],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1512f8a3d1aa2273d32ebfe1407cc976 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ca020afcc626c870dc409b6de18d6d0e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_85b3378c0d9ff1e6defd3c64f437ace9.setIcon(icon_1512f8a3d1aa2273d32ebfe1407cc976);\n",
+       "            marker_7c43ea4f4f8969b5b5fb492c28e0b45e.setIcon(icon_ca020afcc626c870dc409b6de18d6d0e);\n",
        "        \n",
        "    \n",
-       "        var popup_c435877cfbcebd4e5e560efc0dad0375 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ec1072b04cfb21606dd3c3c149d55023 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f955b6f978c65eaaa189d2a2d0c21fda = $(`&lt;div id=&quot;html_f955b6f978c65eaaa189d2a2d0c21fda&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The Missing Link Australia (TML)&lt;/b&gt; &lt;br&gt;https://www.themissinglink.com.au/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_c435877cfbcebd4e5e560efc0dad0375.setContent(html_f955b6f978c65eaaa189d2a2d0c21fda);\n",
+       "                var html_cbfd11f56715784ba48cad45aa322577 = $(`&lt;div id=&quot;html_cbfd11f56715784ba48cad45aa322577&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The Missing Link Australia (TML)&lt;/b&gt; &lt;br&gt;https://www.themissinglink.com.au/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_ec1072b04cfb21606dd3c3c149d55023.setContent(html_cbfd11f56715784ba48cad45aa322577);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_85b3378c0d9ff1e6defd3c64f437ace9.bindPopup(popup_c435877cfbcebd4e5e560efc0dad0375)\n",
+       "        marker_7c43ea4f4f8969b5b5fb492c28e0b45e.bindPopup(popup_ec1072b04cfb21606dd3c3c149d55023)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6a35207898a35724b52d9fa39eb6a162 = L.marker(\n",
+       "            var marker_a383c9375b5e195330b4c2131fab58b5 = L.marker(\n",
        "                [52.2434979, 5.6343227],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8c2cc4842dc3e2dd5eaa95598ef612a8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ef5cdc3ec587c4daa019ee7010557853 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6a35207898a35724b52d9fa39eb6a162.setIcon(icon_8c2cc4842dc3e2dd5eaa95598ef612a8);\n",
+       "            marker_a383c9375b5e195330b4c2131fab58b5.setIcon(icon_ef5cdc3ec587c4daa019ee7010557853);\n",
        "        \n",
        "    \n",
-       "        var popup_61ea0ee21f9b9c7f9b7a89f290cf5004 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5342cd898ae9d59da36cbb593b448baa = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8879fc9d5db60d2fde02ae017acad307 = $(`&lt;div id=&quot;html_8879fc9d5db60d2fde02ae017acad307&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;National Cyber Security Centre Netherlands (NCSC-NL)&lt;/b&gt; &lt;br&gt;https://www.ncsc.nl/actueel/beveiligingsadviezen&lt;/div&gt;`)[0];\n",
-       "                popup_61ea0ee21f9b9c7f9b7a89f290cf5004.setContent(html_8879fc9d5db60d2fde02ae017acad307);\n",
+       "                var html_6f27980a161b3a355714a8cacd78a041 = $(`&lt;div id=&quot;html_6f27980a161b3a355714a8cacd78a041&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;National Cyber Security Centre Netherlands (NCSC-NL)&lt;/b&gt; &lt;br&gt;https://www.ncsc.nl/actueel/beveiligingsadviezen&lt;/div&gt;`)[0];\n",
+       "                popup_5342cd898ae9d59da36cbb593b448baa.setContent(html_6f27980a161b3a355714a8cacd78a041);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6a35207898a35724b52d9fa39eb6a162.bindPopup(popup_61ea0ee21f9b9c7f9b7a89f290cf5004)\n",
+       "        marker_a383c9375b5e195330b4c2131fab58b5.bindPopup(popup_5342cd898ae9d59da36cbb593b448baa)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e4bfb568dd17dc98abd13d8db7c570cc = L.marker(\n",
+       "            var marker_5283abb75f249bc11681491712568d7e = L.marker(\n",
        "                [46.603354, 1.8883335],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4422f7edab4e4b52727dd9a2955b62c4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_02a416be070886932f61a91c935f5bfd = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e4bfb568dd17dc98abd13d8db7c570cc.setIcon(icon_4422f7edab4e4b52727dd9a2955b62c4);\n",
+       "            marker_5283abb75f249bc11681491712568d7e.setIcon(icon_02a416be070886932f61a91c935f5bfd);\n",
        "        \n",
        "    \n",
-       "        var popup_de74ff4dd03b7ed37f471d63bbf03750 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ccd0b1ca2ba6b1c3f99db9c996ccc3fa = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_cacdc5877815831bcee7eea39a8b6d50 = $(`&lt;div id=&quot;html_cacdc5877815831bcee7eea39a8b6d50&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dassault Systèmes&lt;/b&gt; &lt;br&gt;https://www.3ds.com/vulnerability/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_de74ff4dd03b7ed37f471d63bbf03750.setContent(html_cacdc5877815831bcee7eea39a8b6d50);\n",
+       "                var html_a814a1298a4b188dca61a7ab20ca5636 = $(`&lt;div id=&quot;html_a814a1298a4b188dca61a7ab20ca5636&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dassault Systèmes&lt;/b&gt; &lt;br&gt;https://www.3ds.com/vulnerability/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_ccd0b1ca2ba6b1c3f99db9c996ccc3fa.setContent(html_a814a1298a4b188dca61a7ab20ca5636);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e4bfb568dd17dc98abd13d8db7c570cc.bindPopup(popup_de74ff4dd03b7ed37f471d63bbf03750)\n",
+       "        marker_5283abb75f249bc11681491712568d7e.bindPopup(popup_ccd0b1ca2ba6b1c3f99db9c996ccc3fa)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8e3549c669f52d9fe4a6e70ea1f95072 = L.marker(\n",
+       "            var marker_cf8cd5d6e42b66c7fd09ef4db8c67474 = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_038976f9cd8a8ebd289dca9fa78ff7bf = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_bc221fea371da9e687d008b8e4d0ad46 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8e3549c669f52d9fe4a6e70ea1f95072.setIcon(icon_038976f9cd8a8ebd289dca9fa78ff7bf);\n",
+       "            marker_cf8cd5d6e42b66c7fd09ef4db8c67474.setIcon(icon_bc221fea371da9e687d008b8e4d0ad46);\n",
        "        \n",
        "    \n",
-       "        var popup_79e63f34c742e322fec37a4bea652903 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a56acc68bf3c8d1c744f10a1e863bc71 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e418b0405df4699d59558cc13c0f46b1 = $(`&lt;div id=&quot;html_e418b0405df4699d59558cc13c0f46b1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KNIME AG&lt;/b&gt; &lt;br&gt;https://www.knime.com/security/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_79e63f34c742e322fec37a4bea652903.setContent(html_e418b0405df4699d59558cc13c0f46b1);\n",
+       "                var html_c38328650382e289257315a473e89848 = $(`&lt;div id=&quot;html_c38328650382e289257315a473e89848&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KNIME AG&lt;/b&gt; &lt;br&gt;https://www.knime.com/security/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_a56acc68bf3c8d1c744f10a1e863bc71.setContent(html_c38328650382e289257315a473e89848);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8e3549c669f52d9fe4a6e70ea1f95072.bindPopup(popup_79e63f34c742e322fec37a4bea652903)\n",
+       "        marker_cf8cd5d6e42b66c7fd09ef4db8c67474.bindPopup(popup_a56acc68bf3c8d1c744f10a1e863bc71)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e350ce374055b61b6bb8f8174d478d61 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_dc1b2772b4d4b47cd767682a612b73e5 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1585ec6f70d2512aee1f43260823afe6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9ce51fda40983bfc3e04495700dfc579 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e350ce374055b61b6bb8f8174d478d61.setIcon(icon_1585ec6f70d2512aee1f43260823afe6);\n",
+       "            marker_dc1b2772b4d4b47cd767682a612b73e5.setIcon(icon_9ce51fda40983bfc3e04495700dfc579);\n",
        "        \n",
        "    \n",
-       "        var popup_c7e481d9b8ecb829e136b6c420cf490f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d204fe45fa8f23de12869f948e956c68 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_15bc099b05b5587a4afdb5b87338a7ee = $(`&lt;div id=&quot;html_15bc099b05b5587a4afdb5b87338a7ee&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Unisoc (Shanghai) Technologies Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.unisoc.com/en_us/secy/announcement&lt;/div&gt;`)[0];\n",
-       "                popup_c7e481d9b8ecb829e136b6c420cf490f.setContent(html_15bc099b05b5587a4afdb5b87338a7ee);\n",
+       "                var html_b1a0e411f0674698426f431064637d0d = $(`&lt;div id=&quot;html_b1a0e411f0674698426f431064637d0d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Unisoc (Shanghai) Technologies Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.unisoc.com/en_us/secy/announcement&lt;/div&gt;`)[0];\n",
+       "                popup_d204fe45fa8f23de12869f948e956c68.setContent(html_b1a0e411f0674698426f431064637d0d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e350ce374055b61b6bb8f8174d478d61.bindPopup(popup_c7e481d9b8ecb829e136b6c420cf490f)\n",
+       "        marker_dc1b2772b4d4b47cd767682a612b73e5.bindPopup(popup_d204fe45fa8f23de12869f948e956c68)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2ef7cd8067f2d1b8ccbfd9e70ace4e65 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_4383ec9cbd71ed8dea458db718219b86 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9c675008f954bbbc43d7912c102ed229 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a6aaa5acb0a164480dca95c6870cb257 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2ef7cd8067f2d1b8ccbfd9e70ace4e65.setIcon(icon_9c675008f954bbbc43d7912c102ed229);\n",
+       "            marker_4383ec9cbd71ed8dea458db718219b86.setIcon(icon_a6aaa5acb0a164480dca95c6870cb257);\n",
        "        \n",
        "    \n",
-       "        var popup_e898312e00fd2f2e3e72df4c9d146f2d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_856c2e44c549bc1791d669a9e2e75c3c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a04061c2ed3825c5fcac897179632bec = $(`&lt;div id=&quot;html_a04061c2ed3825c5fcac897179632bec&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenHarmony&lt;/b&gt; &lt;br&gt;https://gitee.com/openharmony/security/tree/master/en/security-disclosure&lt;/div&gt;`)[0];\n",
-       "                popup_e898312e00fd2f2e3e72df4c9d146f2d.setContent(html_a04061c2ed3825c5fcac897179632bec);\n",
+       "                var html_e38ad8810e5d87232b08928c65261848 = $(`&lt;div id=&quot;html_e38ad8810e5d87232b08928c65261848&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenHarmony&lt;/b&gt; &lt;br&gt;https://gitee.com/openharmony/security/tree/master/en/security-disclosure&lt;/div&gt;`)[0];\n",
+       "                popup_856c2e44c549bc1791d669a9e2e75c3c.setContent(html_e38ad8810e5d87232b08928c65261848);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2ef7cd8067f2d1b8ccbfd9e70ace4e65.bindPopup(popup_e898312e00fd2f2e3e72df4c9d146f2d)\n",
+       "        marker_4383ec9cbd71ed8dea458db718219b86.bindPopup(popup_856c2e44c549bc1791d669a9e2e75c3c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_92a62bc5934f0bf53be7dc42647060f4 = L.marker(\n",
+       "            var marker_141b15c15052f2b523ca8ebf800acca8 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a44bedc221bcb7b40d0a9cae9023b962 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d444e637e5084f6352c84cc6e43077a5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_92a62bc5934f0bf53be7dc42647060f4.setIcon(icon_a44bedc221bcb7b40d0a9cae9023b962);\n",
+       "            marker_141b15c15052f2b523ca8ebf800acca8.setIcon(icon_d444e637e5084f6352c84cc6e43077a5);\n",
        "        \n",
        "    \n",
-       "        var popup_81065a6865a2301f4ee60d7eb61984d8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5b280b0f758cd5377ba328259070ff90 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_394a1b6ddcc5a824a1f5ba1ae69159b3 = $(`&lt;div id=&quot;html_394a1b6ddcc5a824a1f5ba1ae69159b3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Crestron Electronics, Inc.&lt;/b&gt; &lt;br&gt;https://www.crestron.com/Security/Security_Advisories&lt;/div&gt;`)[0];\n",
-       "                popup_81065a6865a2301f4ee60d7eb61984d8.setContent(html_394a1b6ddcc5a824a1f5ba1ae69159b3);\n",
+       "                var html_7de91d71bbbe6eef827302bea9b2cab3 = $(`&lt;div id=&quot;html_7de91d71bbbe6eef827302bea9b2cab3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Crestron Electronics, Inc.&lt;/b&gt; &lt;br&gt;https://www.crestron.com/Security/Security_Advisories&lt;/div&gt;`)[0];\n",
+       "                popup_5b280b0f758cd5377ba328259070ff90.setContent(html_7de91d71bbbe6eef827302bea9b2cab3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_92a62bc5934f0bf53be7dc42647060f4.bindPopup(popup_81065a6865a2301f4ee60d7eb61984d8)\n",
+       "        marker_141b15c15052f2b523ca8ebf800acca8.bindPopup(popup_5b280b0f758cd5377ba328259070ff90)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2f2e0c05604dbfd142b5447baa34a59b = L.marker(\n",
+       "            var marker_19d03f08bd2b1f747dc6fab850ade856 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_def9a5e13512891bec6e094ed09fcd94 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_19a75bec9529704c0c226d4d64dabce7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2f2e0c05604dbfd142b5447baa34a59b.setIcon(icon_def9a5e13512891bec6e094ed09fcd94);\n",
+       "            marker_19d03f08bd2b1f747dc6fab850ade856.setIcon(icon_19a75bec9529704c0c226d4d64dabce7);\n",
        "        \n",
        "    \n",
-       "        var popup_6c0004c56ee1a73292e61d90ddb92ad2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8992e5525067b7d1e122ab0c95657c6f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8d109edd0b6aa6dc8fe10f403139b420 = $(`&lt;div id=&quot;html_8d109edd0b6aa6dc8fe10f403139b420&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Rockwell Automation&lt;/b&gt; &lt;br&gt;https://rockwellautomation.custhelp.com/app/answers/answer_view/a_id/54102&lt;/div&gt;`)[0];\n",
-       "                popup_6c0004c56ee1a73292e61d90ddb92ad2.setContent(html_8d109edd0b6aa6dc8fe10f403139b420);\n",
+       "                var html_dfff2d5c815748510b0ee204e605c880 = $(`&lt;div id=&quot;html_dfff2d5c815748510b0ee204e605c880&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Rockwell Automation&lt;/b&gt; &lt;br&gt;https://rockwellautomation.custhelp.com/app/answers/answer_view/a_id/54102&lt;/div&gt;`)[0];\n",
+       "                popup_8992e5525067b7d1e122ab0c95657c6f.setContent(html_dfff2d5c815748510b0ee204e605c880);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2f2e0c05604dbfd142b5447baa34a59b.bindPopup(popup_6c0004c56ee1a73292e61d90ddb92ad2)\n",
+       "        marker_19d03f08bd2b1f747dc6fab850ade856.bindPopup(popup_8992e5525067b7d1e122ab0c95657c6f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b596f3f73455978a5062920d06a3ad78 = L.marker(\n",
+       "            var marker_5a5d5dfa2f0d93d2f089763119dfe2ae = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_00befcd6229b45f6b040570b46c10e0b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_531afb40e55d33dbc45b9af31af2cf84 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b596f3f73455978a5062920d06a3ad78.setIcon(icon_00befcd6229b45f6b040570b46c10e0b);\n",
+       "            marker_5a5d5dfa2f0d93d2f089763119dfe2ae.setIcon(icon_531afb40e55d33dbc45b9af31af2cf84);\n",
        "        \n",
        "    \n",
-       "        var popup_ab91b729356723816969548f0eb7d9e3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5b1ea5ec1f7d4a6f71eedd740971a51a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8a61bfe4c5d3059f4ade485152533c85 = $(`&lt;div id=&quot;html_8a61bfe4c5d3059f4ade485152533c85&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The OpenNMS Group&lt;/b&gt; &lt;br&gt;https://www.opennms.com/en/blog/category/blog/&lt;/div&gt;`)[0];\n",
-       "                popup_ab91b729356723816969548f0eb7d9e3.setContent(html_8a61bfe4c5d3059f4ade485152533c85);\n",
+       "                var html_39e588343480d1638fafa612f745e5a4 = $(`&lt;div id=&quot;html_39e588343480d1638fafa612f745e5a4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The OpenNMS Group&lt;/b&gt; &lt;br&gt;https://www.opennms.com/en/blog/category/blog/&lt;/div&gt;`)[0];\n",
+       "                popup_5b1ea5ec1f7d4a6f71eedd740971a51a.setContent(html_39e588343480d1638fafa612f745e5a4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b596f3f73455978a5062920d06a3ad78.bindPopup(popup_ab91b729356723816969548f0eb7d9e3)\n",
+       "        marker_5a5d5dfa2f0d93d2f089763119dfe2ae.bindPopup(popup_5b1ea5ec1f7d4a6f71eedd740971a51a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_22efe2b381a9db30b7ce0cf5ef17690d = L.marker(\n",
+       "            var marker_58c8a9caf7cec550dc1a505cfcdf8d26 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f97c7152ca146da0797cb3b5e4eb0427 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d74c305ad9dff94d88b44062af871dc9 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_22efe2b381a9db30b7ce0cf5ef17690d.setIcon(icon_f97c7152ca146da0797cb3b5e4eb0427);\n",
+       "            marker_58c8a9caf7cec550dc1a505cfcdf8d26.setIcon(icon_d74c305ad9dff94d88b44062af871dc9);\n",
        "        \n",
        "    \n",
-       "        var popup_21ae58d3406de67070d2fee6c4d85867 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ab6b39b691c27e8db81d43e0efa1db37 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6557a2ceac47aa4314ea057f60de9657 = $(`&lt;div id=&quot;html_6557a2ceac47aa4314ea057f60de9657&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dragos, Inc.&lt;/b&gt; &lt;br&gt;https://www.dragos.com/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_21ae58d3406de67070d2fee6c4d85867.setContent(html_6557a2ceac47aa4314ea057f60de9657);\n",
+       "                var html_7f39ce127e2261989714429c5b88c60a = $(`&lt;div id=&quot;html_7f39ce127e2261989714429c5b88c60a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dragos, Inc.&lt;/b&gt; &lt;br&gt;https://www.dragos.com/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_ab6b39b691c27e8db81d43e0efa1db37.setContent(html_7f39ce127e2261989714429c5b88c60a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_22efe2b381a9db30b7ce0cf5ef17690d.bindPopup(popup_21ae58d3406de67070d2fee6c4d85867)\n",
+       "        marker_58c8a9caf7cec550dc1a505cfcdf8d26.bindPopup(popup_ab6b39b691c27e8db81d43e0efa1db37)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c82bb3dd340a3ac86f569a20ffda0d3f = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_5e0820fcf09a4997a0261fd6b33bf164 = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0ea4165fbbca6c538029ab4353fad499 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_55e484f1db1e890f824417919294ab2c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c82bb3dd340a3ac86f569a20ffda0d3f.setIcon(icon_0ea4165fbbca6c538029ab4353fad499);\n",
+       "            marker_5e0820fcf09a4997a0261fd6b33bf164.setIcon(icon_55e484f1db1e890f824417919294ab2c);\n",
        "        \n",
        "    \n",
-       "        var popup_ee7713a83a16b9d65684f892d0119a3e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6146bfa7aefa91a6c17ccf151d7f2000 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_297bb22ea36c0171c0d4500c25b20606 = $(`&lt;div id=&quot;html_297bb22ea36c0171c0d4500c25b20606&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CyberArk Labs&lt;/b&gt; &lt;br&gt;https://labs.cyberark.com/cyberark-labs-security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_ee7713a83a16b9d65684f892d0119a3e.setContent(html_297bb22ea36c0171c0d4500c25b20606);\n",
+       "                var html_f4653cb488a083a59d8a7306563b688b = $(`&lt;div id=&quot;html_f4653cb488a083a59d8a7306563b688b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CyberArk Labs&lt;/b&gt; &lt;br&gt;https://labs.cyberark.com/cyberark-labs-security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_6146bfa7aefa91a6c17ccf151d7f2000.setContent(html_f4653cb488a083a59d8a7306563b688b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c82bb3dd340a3ac86f569a20ffda0d3f.bindPopup(popup_ee7713a83a16b9d65684f892d0119a3e)\n",
+       "        marker_5e0820fcf09a4997a0261fd6b33bf164.bindPopup(popup_6146bfa7aefa91a6c17ccf151d7f2000)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_41439dbb1858c783cd959e0c2b6566b6 = L.marker(\n",
+       "            var marker_6b37e03b50a653666ec6d673136d2fea = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ab26215458fce2448c0fbcc365f6f095 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3b3e22bd190dfd880bc59aea1a6d767d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_41439dbb1858c783cd959e0c2b6566b6.setIcon(icon_ab26215458fce2448c0fbcc365f6f095);\n",
+       "            marker_6b37e03b50a653666ec6d673136d2fea.setIcon(icon_3b3e22bd190dfd880bc59aea1a6d767d);\n",
        "        \n",
        "    \n",
-       "        var popup_3bd1121fb16b17b351744a1343654c1f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_81bbab2c2d8569b1c54de737ddf210f5 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_09dde5fed05739360388fb1541304a06 = $(`&lt;div id=&quot;html_09dde5fed05739360388fb1541304a06&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dual Vipers LLC&lt;/b&gt; &lt;br&gt;https://advisory.dualvs.com&lt;/div&gt;`)[0];\n",
-       "                popup_3bd1121fb16b17b351744a1343654c1f.setContent(html_09dde5fed05739360388fb1541304a06);\n",
+       "                var html_ef77f55ebe2b8e9b34337d25df54ee9c = $(`&lt;div id=&quot;html_ef77f55ebe2b8e9b34337d25df54ee9c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dual Vipers LLC&lt;/b&gt; &lt;br&gt;https://advisory.dualvs.com&lt;/div&gt;`)[0];\n",
+       "                popup_81bbab2c2d8569b1c54de737ddf210f5.setContent(html_ef77f55ebe2b8e9b34337d25df54ee9c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_41439dbb1858c783cd959e0c2b6566b6.bindPopup(popup_3bd1121fb16b17b351744a1343654c1f)\n",
+       "        marker_6b37e03b50a653666ec6d673136d2fea.bindPopup(popup_81bbab2c2d8569b1c54de737ddf210f5)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0cae76c776dddac52d1553e400b876b0 = L.marker(\n",
+       "            var marker_eaed3eb5c12dacec36745337a2c1fd01 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c6be104f91826148bb9086a3f9d01645 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_76c15a708501e009064a3ca4ca13b7d0 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0cae76c776dddac52d1553e400b876b0.setIcon(icon_c6be104f91826148bb9086a3f9d01645);\n",
+       "            marker_eaed3eb5c12dacec36745337a2c1fd01.setIcon(icon_76c15a708501e009064a3ca4ca13b7d0);\n",
        "        \n",
        "    \n",
-       "        var popup_ac50dab2fcec1d2f700e2fc02a9f76b8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a6b555d851905ce46b4edde5d85c6c0b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_153440f8bb2928e79da1272545eaee2c = $(`&lt;div id=&quot;html_153440f8bb2928e79da1272545eaee2c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Bugcrowd Inc.&lt;/b&gt; &lt;br&gt;https://bugcrowd.com/crowdstream?filter=disclosures&lt;/div&gt;`)[0];\n",
-       "                popup_ac50dab2fcec1d2f700e2fc02a9f76b8.setContent(html_153440f8bb2928e79da1272545eaee2c);\n",
+       "                var html_9b52bb6972ccc3fd32f1df87e6f36277 = $(`&lt;div id=&quot;html_9b52bb6972ccc3fd32f1df87e6f36277&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Bugcrowd Inc.&lt;/b&gt; &lt;br&gt;https://bugcrowd.com/crowdstream?filter=disclosures&lt;/div&gt;`)[0];\n",
+       "                popup_a6b555d851905ce46b4edde5d85c6c0b.setContent(html_9b52bb6972ccc3fd32f1df87e6f36277);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0cae76c776dddac52d1553e400b876b0.bindPopup(popup_ac50dab2fcec1d2f700e2fc02a9f76b8)\n",
+       "        marker_eaed3eb5c12dacec36745337a2c1fd01.bindPopup(popup_a6b555d851905ce46b4edde5d85c6c0b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_5cf84cfb9eaef6ca0efda83e3e560556 = L.marker(\n",
+       "            var marker_31fdbd0460cb94de704e3daa31556fcd = L.marker(\n",
        "                [48.7411522, 19.4528646],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_72a67c91a3e9b86b914d0143d0b5982d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_195ecb3d2f6402f21a0fb9b661eb922f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_5cf84cfb9eaef6ca0efda83e3e560556.setIcon(icon_72a67c91a3e9b86b914d0143d0b5982d);\n",
+       "            marker_31fdbd0460cb94de704e3daa31556fcd.setIcon(icon_195ecb3d2f6402f21a0fb9b661eb922f);\n",
        "        \n",
        "    \n",
-       "        var popup_02228226bb3bec49f536685f0e7b3a27 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_71c685eb0d97cf88935caf873e069b60 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4cef467136896eff91c97793013b839b = $(`&lt;div id=&quot;html_4cef467136896eff91c97793013b839b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;National Cyber Security Centre SK-CERT&lt;/b&gt; &lt;br&gt;https://www.sk-cert.sk/threat/&lt;/div&gt;`)[0];\n",
-       "                popup_02228226bb3bec49f536685f0e7b3a27.setContent(html_4cef467136896eff91c97793013b839b);\n",
+       "                var html_5919963eb6754f8d2f517cc748929e89 = $(`&lt;div id=&quot;html_5919963eb6754f8d2f517cc748929e89&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;National Cyber Security Centre SK-CERT&lt;/b&gt; &lt;br&gt;https://www.sk-cert.sk/threat/&lt;/div&gt;`)[0];\n",
+       "                popup_71c685eb0d97cf88935caf873e069b60.setContent(html_5919963eb6754f8d2f517cc748929e89);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_5cf84cfb9eaef6ca0efda83e3e560556.bindPopup(popup_02228226bb3bec49f536685f0e7b3a27)\n",
+       "        marker_31fdbd0460cb94de704e3daa31556fcd.bindPopup(popup_71c685eb0d97cf88935caf873e069b60)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_82ba536263dc16a36f8f8159fd2e0000 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_4b959345ce9b0cb9d793973960647594 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b3353112df667dda80d7edbdba2ec54c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c4a4fe98ed4bdeb77af849dc833f1a79 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_82ba536263dc16a36f8f8159fd2e0000.setIcon(icon_b3353112df667dda80d7edbdba2ec54c);\n",
+       "            marker_4b959345ce9b0cb9d793973960647594.setIcon(icon_c4a4fe98ed4bdeb77af849dc833f1a79);\n",
        "        \n",
        "    \n",
-       "        var popup_ca8e4b260d2e94d81034c17a8a28f73f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_aecb706d51e321ca73bc3b178cb91dc4 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_127e1345e3e444a7b21c25afe7495a6f = $(`&lt;div id=&quot;html_127e1345e3e444a7b21c25afe7495a6f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Baicells Technologies Co., Ltd.&lt;/b&gt; &lt;br&gt;https://baicells.zendesk.com/hc/en-us/sections/206436107-Security-Vulnerability-Notices&lt;/div&gt;`)[0];\n",
-       "                popup_ca8e4b260d2e94d81034c17a8a28f73f.setContent(html_127e1345e3e444a7b21c25afe7495a6f);\n",
+       "                var html_d18cccfd75d0214390115418e7b31ce4 = $(`&lt;div id=&quot;html_d18cccfd75d0214390115418e7b31ce4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Baicells Technologies Co., Ltd.&lt;/b&gt; &lt;br&gt;https://baicells.zendesk.com/hc/en-us/sections/206436107-Security-Vulnerability-Notices&lt;/div&gt;`)[0];\n",
+       "                popup_aecb706d51e321ca73bc3b178cb91dc4.setContent(html_d18cccfd75d0214390115418e7b31ce4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_82ba536263dc16a36f8f8159fd2e0000.bindPopup(popup_ca8e4b260d2e94d81034c17a8a28f73f)\n",
+       "        marker_4b959345ce9b0cb9d793973960647594.bindPopup(popup_aecb706d51e321ca73bc3b178cb91dc4)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_559d022734d910061d1e240b60398d60 = L.marker(\n",
+       "            var marker_f506c33780b2dc82131439c8b0b5550a = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b777cce070873a7fb34461c9fff4b6fa = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ab4a4d4fdf337c091965e35a545def31 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_559d022734d910061d1e240b60398d60.setIcon(icon_b777cce070873a7fb34461c9fff4b6fa);\n",
+       "            marker_f506c33780b2dc82131439c8b0b5550a.setIcon(icon_ab4a4d4fdf337c091965e35a545def31);\n",
        "        \n",
        "    \n",
-       "        var popup_1bd349899daffd21e084184b69de4e07 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_be80a8cc34428d1ca872fb29b487d6b4 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_618e4b0ab804a9d643d4e6c7c1e20960 = $(`&lt;div id=&quot;html_618e4b0ab804a9d643d4e6c7c1e20960&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NetRise&lt;/b&gt; &lt;br&gt;https://www.netrise.io/security/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_1bd349899daffd21e084184b69de4e07.setContent(html_618e4b0ab804a9d643d4e6c7c1e20960);\n",
+       "                var html_62e40e1e9cd9a08e5af3d5c8ed19bdba = $(`&lt;div id=&quot;html_62e40e1e9cd9a08e5af3d5c8ed19bdba&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;NetRise&lt;/b&gt; &lt;br&gt;https://www.netrise.io/security/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_be80a8cc34428d1ca872fb29b487d6b4.setContent(html_62e40e1e9cd9a08e5af3d5c8ed19bdba);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_559d022734d910061d1e240b60398d60.bindPopup(popup_1bd349899daffd21e084184b69de4e07)\n",
+       "        marker_f506c33780b2dc82131439c8b0b5550a.bindPopup(popup_be80a8cc34428d1ca872fb29b487d6b4)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_dd05d7f89ebad8bcc4402837b4b5714b = L.marker(\n",
+       "            var marker_796af13a92ada3c4c02e2e4bfcbd1772 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_39f9ecbf965a37e6c6f9ab3d1916ce5d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8e62f7aa5b8d69283fd300ea0f7dd7de = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_dd05d7f89ebad8bcc4402837b4b5714b.setIcon(icon_39f9ecbf965a37e6c6f9ab3d1916ce5d);\n",
+       "            marker_796af13a92ada3c4c02e2e4bfcbd1772.setIcon(icon_8e62f7aa5b8d69283fd300ea0f7dd7de);\n",
        "        \n",
        "    \n",
-       "        var popup_2e996d4681a561396b5cca52cc2db326 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_04271fec1011ecdc0fdbedc1a4cbc75a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b0a87adbe75bdb2f1676a60cf9582b1a = $(`&lt;div id=&quot;html_b0a87adbe75bdb2f1676a60cf9582b1a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HashiCorp Inc.&lt;/b&gt; &lt;br&gt;https://discuss.hashicorp.com/c/security/52&lt;/div&gt;`)[0];\n",
-       "                popup_2e996d4681a561396b5cca52cc2db326.setContent(html_b0a87adbe75bdb2f1676a60cf9582b1a);\n",
+       "                var html_21834843288bf3f97c1a5af49742da75 = $(`&lt;div id=&quot;html_21834843288bf3f97c1a5af49742da75&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HashiCorp Inc.&lt;/b&gt; &lt;br&gt;https://discuss.hashicorp.com/c/security/52&lt;/div&gt;`)[0];\n",
+       "                popup_04271fec1011ecdc0fdbedc1a4cbc75a.setContent(html_21834843288bf3f97c1a5af49742da75);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_dd05d7f89ebad8bcc4402837b4b5714b.bindPopup(popup_2e996d4681a561396b5cca52cc2db326)\n",
+       "        marker_796af13a92ada3c4c02e2e4bfcbd1772.bindPopup(popup_04271fec1011ecdc0fdbedc1a4cbc75a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_dad946a39b002873fcec92ff48aeef92 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_e6d905110439c785663bd26b554854d7 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6e0c7b0c1468f4920285ba25595f3989 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_42a15d9e600821b1567d6b97b180df84 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_dad946a39b002873fcec92ff48aeef92.setIcon(icon_6e0c7b0c1468f4920285ba25595f3989);\n",
+       "            marker_e6d905110439c785663bd26b554854d7.setIcon(icon_42a15d9e600821b1567d6b97b180df84);\n",
        "        \n",
        "    \n",
-       "        var popup_2e4c0bbadb3ed68e38dc0a92692b9682 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5b4f019eb6eb53696301329e5a5145dd = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8608adce7295fee693ec470aafead6a4 = $(`&lt;div id=&quot;html_8608adce7295fee693ec470aafead6a4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenCloudOS Community&lt;/b&gt; &lt;br&gt;https://www.opencloudos.org/?page_id=573&lt;/div&gt;`)[0];\n",
-       "                popup_2e4c0bbadb3ed68e38dc0a92692b9682.setContent(html_8608adce7295fee693ec470aafead6a4);\n",
+       "                var html_5d1928fbe92db82c104461b578b74fe7 = $(`&lt;div id=&quot;html_5d1928fbe92db82c104461b578b74fe7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenCloudOS Community&lt;/b&gt; &lt;br&gt;https://www.opencloudos.org/?page_id=573&lt;/div&gt;`)[0];\n",
+       "                popup_5b4f019eb6eb53696301329e5a5145dd.setContent(html_5d1928fbe92db82c104461b578b74fe7);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_dad946a39b002873fcec92ff48aeef92.bindPopup(popup_2e4c0bbadb3ed68e38dc0a92692b9682)\n",
+       "        marker_e6d905110439c785663bd26b554854d7.bindPopup(popup_5b4f019eb6eb53696301329e5a5145dd)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_166fbbe1e1164f6c504d092c63fc1e1a = L.marker(\n",
+       "            var marker_8c2643072affb84867a6cbdc0e46fac7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_01171ab3090a51316250f5b2a34c208d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_afe90260454b06e3a9ac06d9bad4babf = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_166fbbe1e1164f6c504d092c63fc1e1a.setIcon(icon_01171ab3090a51316250f5b2a34c208d);\n",
+       "            marker_8c2643072affb84867a6cbdc0e46fac7.setIcon(icon_afe90260454b06e3a9ac06d9bad4babf);\n",
        "        \n",
        "    \n",
-       "        var popup_e24c71dd97871f1425dfea6b43cff330 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8bfdedf590885e54b5d22ee1bf31295d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a5066d26cd162d32ebfaca79b74bccd9 = $(`&lt;div id=&quot;html_a5066d26cd162d32ebfaca79b74bccd9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Green Rocket Security Inc.&lt;/b&gt; &lt;br&gt;https://www.greenrocketsecurity.com/resources/security-updates/&lt;/div&gt;`)[0];\n",
-       "                popup_e24c71dd97871f1425dfea6b43cff330.setContent(html_a5066d26cd162d32ebfaca79b74bccd9);\n",
+       "                var html_4be77e9ecc004ec223a48e64f13140d4 = $(`&lt;div id=&quot;html_4be77e9ecc004ec223a48e64f13140d4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Green Rocket Security Inc.&lt;/b&gt; &lt;br&gt;https://www.greenrocketsecurity.com/resources/security-updates/&lt;/div&gt;`)[0];\n",
+       "                popup_8bfdedf590885e54b5d22ee1bf31295d.setContent(html_4be77e9ecc004ec223a48e64f13140d4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_166fbbe1e1164f6c504d092c63fc1e1a.bindPopup(popup_e24c71dd97871f1425dfea6b43cff330)\n",
+       "        marker_8c2643072affb84867a6cbdc0e46fac7.bindPopup(popup_8bfdedf590885e54b5d22ee1bf31295d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a3cae7f17dbb027252ac0d4191efa7a1 = L.marker(\n",
+       "            var marker_d0d6211e3ff1fa9e0274f035dde6adf8 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3409d48ec110479b4eef4f8188f35a85 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3eb936ad7484568204856b093fa0195c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a3cae7f17dbb027252ac0d4191efa7a1.setIcon(icon_3409d48ec110479b4eef4f8188f35a85);\n",
+       "            marker_d0d6211e3ff1fa9e0274f035dde6adf8.setIcon(icon_3eb936ad7484568204856b093fa0195c);\n",
        "        \n",
        "    \n",
-       "        var popup_2baf0e8fd048ce1f53675f72928edccf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_293bcc51cdea62e80c4526a350f2b0c7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_60a5794a8456b2852cc419cd693b6eab = $(`&lt;div id=&quot;html_60a5794a8456b2852cc419cd693b6eab&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Seagate Technology&lt;/b&gt; &lt;br&gt;https://www.seagate.com/support/security/&lt;/div&gt;`)[0];\n",
-       "                popup_2baf0e8fd048ce1f53675f72928edccf.setContent(html_60a5794a8456b2852cc419cd693b6eab);\n",
+       "                var html_ccd090105b942fdf4bcaec6c13c124fd = $(`&lt;div id=&quot;html_ccd090105b942fdf4bcaec6c13c124fd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Seagate Technology&lt;/b&gt; &lt;br&gt;https://www.seagate.com/support/security/&lt;/div&gt;`)[0];\n",
+       "                popup_293bcc51cdea62e80c4526a350f2b0c7.setContent(html_ccd090105b942fdf4bcaec6c13c124fd);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a3cae7f17dbb027252ac0d4191efa7a1.bindPopup(popup_2baf0e8fd048ce1f53675f72928edccf)\n",
+       "        marker_d0d6211e3ff1fa9e0274f035dde6adf8.bindPopup(popup_293bcc51cdea62e80c4526a350f2b0c7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_338e77b3310cd5ff8106252ab10c8816 = L.marker(\n",
+       "            var marker_029079e7c6c6fabd42fa486161c4cf6a = L.marker(\n",
        "                [-10.3333333, -53.2],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0b451759497f23c30142fae535fdda05 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_aeb4e97019daa10e1f322f5ed4f3c142 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_338e77b3310cd5ff8106252ab10c8816.setIcon(icon_0b451759497f23c30142fae535fdda05);\n",
+       "            marker_029079e7c6c6fabd42fa486161c4cf6a.setIcon(icon_aeb4e97019daa10e1f322f5ed4f3c142);\n",
        "        \n",
        "    \n",
-       "        var popup_3e333618f499059a25e844c7dbcf533e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_aa81973cc7f30e9167f70028559cf180 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_80a41092db9ecf784e3056cc54447da4 = $(`&lt;div id=&quot;html_80a41092db9ecf784e3056cc54447da4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;senhasegura&lt;/b&gt; &lt;br&gt;https://docs.senhasegura.io/security-center-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_3e333618f499059a25e844c7dbcf533e.setContent(html_80a41092db9ecf784e3056cc54447da4);\n",
+       "                var html_b8a27fcca3b87c36c866cf04bf12b05c = $(`&lt;div id=&quot;html_b8a27fcca3b87c36c866cf04bf12b05c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;senhasegura&lt;/b&gt; &lt;br&gt;https://docs.senhasegura.io/security-center-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_aa81973cc7f30e9167f70028559cf180.setContent(html_b8a27fcca3b87c36c866cf04bf12b05c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_338e77b3310cd5ff8106252ab10c8816.bindPopup(popup_3e333618f499059a25e844c7dbcf533e)\n",
+       "        marker_029079e7c6c6fabd42fa486161c4cf6a.bindPopup(popup_aa81973cc7f30e9167f70028559cf180)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3a3fa8ac34d1e4bdf7700c412227abd8 = L.marker(\n",
+       "            var marker_a793f690e72cc9e92da7c12c48af8c3c = L.marker(\n",
        "                [39.3260685, -4.8379791],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1bd8b236d5e0a76b3f5c258dce1f51c4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a0637ca9d6e697bbe7d0c67b8e3e92eb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3a3fa8ac34d1e4bdf7700c412227abd8.setIcon(icon_1bd8b236d5e0a76b3f5c258dce1f51c4);\n",
+       "            marker_a793f690e72cc9e92da7c12c48af8c3c.setIcon(icon_a0637ca9d6e697bbe7d0c67b8e3e92eb);\n",
        "        \n",
        "    \n",
-       "        var popup_39e6beb3680d25443e509933fd50e0be = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_adb5ad32e0c503c1974a462668346376 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b81dddf6ed1a0d3d4b637fbffcf07190 = $(`&lt;div id=&quot;html_b81dddf6ed1a0d3d4b637fbffcf07190&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KrakenD, S.L.&lt;/b&gt; &lt;br&gt;https://www.krakend.io/tags/security/&lt;/div&gt;`)[0];\n",
-       "                popup_39e6beb3680d25443e509933fd50e0be.setContent(html_b81dddf6ed1a0d3d4b637fbffcf07190);\n",
+       "                var html_645a7584a6b99596f52f10512c9d9cfc = $(`&lt;div id=&quot;html_645a7584a6b99596f52f10512c9d9cfc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KrakenD, S.L.&lt;/b&gt; &lt;br&gt;https://www.krakend.io/tags/security/&lt;/div&gt;`)[0];\n",
+       "                popup_adb5ad32e0c503c1974a462668346376.setContent(html_645a7584a6b99596f52f10512c9d9cfc);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3a3fa8ac34d1e4bdf7700c412227abd8.bindPopup(popup_39e6beb3680d25443e509933fd50e0be)\n",
+       "        marker_a793f690e72cc9e92da7c12c48af8c3c.bindPopup(popup_adb5ad32e0c503c1974a462668346376)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_54259e2c05ef153952569f6d3a38a4ad = L.marker(\n",
+       "            var marker_5088dcd756f8de3edc9f409d078deab1 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a14ecd2effedab0b8385db5e272f00ea = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f240e9d1d4ac3cc05d6ea84651031569 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_54259e2c05ef153952569f6d3a38a4ad.setIcon(icon_a14ecd2effedab0b8385db5e272f00ea);\n",
+       "            marker_5088dcd756f8de3edc9f409d078deab1.setIcon(icon_f240e9d1d4ac3cc05d6ea84651031569);\n",
        "        \n",
        "    \n",
-       "        var popup_ccd140ab2c992412cbc6ee2bd3633d56 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ca89a1f8c3e0017484ebefc01dde8e37 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_bc8cd41928c146e2bb3618f893c4db47 = $(`&lt;div id=&quot;html_bc8cd41928c146e2bb3618f893c4db47&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ONEKEY GmbH&lt;/b&gt; &lt;br&gt;https://onekey.com/research/&lt;/div&gt;`)[0];\n",
-       "                popup_ccd140ab2c992412cbc6ee2bd3633d56.setContent(html_bc8cd41928c146e2bb3618f893c4db47);\n",
+       "                var html_60a7842911b8eb25353be8cdd850a403 = $(`&lt;div id=&quot;html_60a7842911b8eb25353be8cdd850a403&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ONEKEY GmbH&lt;/b&gt; &lt;br&gt;https://onekey.com/research/&lt;/div&gt;`)[0];\n",
+       "                popup_ca89a1f8c3e0017484ebefc01dde8e37.setContent(html_60a7842911b8eb25353be8cdd850a403);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_54259e2c05ef153952569f6d3a38a4ad.bindPopup(popup_ccd140ab2c992412cbc6ee2bd3633d56)\n",
+       "        marker_5088dcd756f8de3edc9f409d078deab1.bindPopup(popup_ca89a1f8c3e0017484ebefc01dde8e37)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_dd78511b3848019ad89e841a2ae085ff = L.marker(\n",
+       "            var marker_129b9d0e2fd05c539dee276240539718 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_2091a7985aa0935190a55d919adb0299 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e992c8470a7ae6104f6fbb1f035d9d9f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_dd78511b3848019ad89e841a2ae085ff.setIcon(icon_2091a7985aa0935190a55d919adb0299);\n",
+       "            marker_129b9d0e2fd05c539dee276240539718.setIcon(icon_e992c8470a7ae6104f6fbb1f035d9d9f);\n",
        "        \n",
        "    \n",
-       "        var popup_b235ab8ebf194ac62d57f4bb71a8428d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e5cc48fd33dc368af0938d07568299f7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_714cfbf8b50ed498adbdf685c3cbcc6e = $(`&lt;div id=&quot;html_714cfbf8b50ed498adbdf685c3cbcc6e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zowe&lt;/b&gt; &lt;br&gt;https://github.com/zowe/community/security/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_b235ab8ebf194ac62d57f4bb71a8428d.setContent(html_714cfbf8b50ed498adbdf685c3cbcc6e);\n",
+       "                var html_5485e02fc9d0c7eb140ae120fc396c27 = $(`&lt;div id=&quot;html_5485e02fc9d0c7eb140ae120fc396c27&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Zowe&lt;/b&gt; &lt;br&gt;https://github.com/zowe/community/security/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_e5cc48fd33dc368af0938d07568299f7.setContent(html_5485e02fc9d0c7eb140ae120fc396c27);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_dd78511b3848019ad89e841a2ae085ff.bindPopup(popup_b235ab8ebf194ac62d57f4bb71a8428d)\n",
+       "        marker_129b9d0e2fd05c539dee276240539718.bindPopup(popup_e5cc48fd33dc368af0938d07568299f7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b07f33929924ef232be893d420f7a353 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_236d14ff7c12d61a2abd49dd23f3bd81 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_272cb1a349495ddc76ee13fb9aceedf8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_36466afa69a4aa1821f9ab18c7baa44c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b07f33929924ef232be893d420f7a353.setIcon(icon_272cb1a349495ddc76ee13fb9aceedf8);\n",
+       "            marker_236d14ff7c12d61a2abd49dd23f3bd81.setIcon(icon_36466afa69a4aa1821f9ab18c7baa44c);\n",
        "        \n",
        "    \n",
-       "        var popup_3ef8f7d503083dc3ec5bad3191684dde = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a361348729835ecf2911b20747f51067 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8a27869d8c1e5759f4474e5bf347393a = $(`&lt;div id=&quot;html_8a27869d8c1e5759f4474e5bf347393a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Honor Device Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.hihonor.com/global/security/&lt;/div&gt;`)[0];\n",
-       "                popup_3ef8f7d503083dc3ec5bad3191684dde.setContent(html_8a27869d8c1e5759f4474e5bf347393a);\n",
+       "                var html_9c9846856e5574aa1c3fd0d503d4d20d = $(`&lt;div id=&quot;html_9c9846856e5574aa1c3fd0d503d4d20d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Honor Device Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.hihonor.com/global/security/&lt;/div&gt;`)[0];\n",
+       "                popup_a361348729835ecf2911b20747f51067.setContent(html_9c9846856e5574aa1c3fd0d503d4d20d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b07f33929924ef232be893d420f7a353.bindPopup(popup_3ef8f7d503083dc3ec5bad3191684dde)\n",
+       "        marker_236d14ff7c12d61a2abd49dd23f3bd81.bindPopup(popup_a361348729835ecf2911b20747f51067)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d9283b6e287b00e404d9ef624142b30e = L.marker(\n",
+       "            var marker_85fc0bd563aced33f08233785115465d = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5832562ee1f26e561f40167c584b43f1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_905d8379843aefca9c41bf4842591d0e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d9283b6e287b00e404d9ef624142b30e.setIcon(icon_5832562ee1f26e561f40167c584b43f1);\n",
+       "            marker_85fc0bd563aced33f08233785115465d.setIcon(icon_905d8379843aefca9c41bf4842591d0e);\n",
        "        \n",
        "    \n",
-       "        var popup_e2c84b149967220c0e652463c2b57516 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_72da7d36366874bb91247d7b33ff2b6d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ef52cb98d240717460dfc75ab5ebb0bd = $(`&lt;div id=&quot;html_ef52cb98d240717460dfc75ab5ebb0bd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Honeywell International Inc.&lt;/b&gt; &lt;br&gt;https://sps.honeywell.com/us/en/support/productivity/cyber-security-notifications&lt;/div&gt;`)[0];\n",
-       "                popup_e2c84b149967220c0e652463c2b57516.setContent(html_ef52cb98d240717460dfc75ab5ebb0bd);\n",
+       "                var html_6409113101dca8ab308fb7aa7f463773 = $(`&lt;div id=&quot;html_6409113101dca8ab308fb7aa7f463773&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Honeywell International Inc.&lt;/b&gt; &lt;br&gt;https://sps.honeywell.com/us/en/support/productivity/cyber-security-notifications&lt;/div&gt;`)[0];\n",
+       "                popup_72da7d36366874bb91247d7b33ff2b6d.setContent(html_6409113101dca8ab308fb7aa7f463773);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d9283b6e287b00e404d9ef624142b30e.bindPopup(popup_e2c84b149967220c0e652463c2b57516)\n",
+       "        marker_85fc0bd563aced33f08233785115465d.bindPopup(popup_72da7d36366874bb91247d7b33ff2b6d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c4c4f6666b02f054bfafeb55255c38d5 = L.marker(\n",
+       "            var marker_2dc1b80e08439c5f288a8eb3b7ddb35c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_04335e3585a6266e3ca24f362f426166 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b668f9147b83d8cb7eb6f4e92bcaad00 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c4c4f6666b02f054bfafeb55255c38d5.setIcon(icon_04335e3585a6266e3ca24f362f426166);\n",
+       "            marker_2dc1b80e08439c5f288a8eb3b7ddb35c.setIcon(icon_b668f9147b83d8cb7eb6f4e92bcaad00);\n",
        "        \n",
        "    \n",
-       "        var popup_2d6f04bdf5ab03aec53dbca407c70c8f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_610b6278a82bd5c8c58e18132aeb08eb = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_713f5b7f58377dd9fa156fe7b81bfce8 = $(`&lt;div id=&quot;html_713f5b7f58377dd9fa156fe7b81bfce8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Qualys, Inc.&lt;/b&gt; &lt;br&gt;https://www.qualys.com/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_2d6f04bdf5ab03aec53dbca407c70c8f.setContent(html_713f5b7f58377dd9fa156fe7b81bfce8);\n",
+       "                var html_2ae358130a50770db0ee4b3ea426224b = $(`&lt;div id=&quot;html_2ae358130a50770db0ee4b3ea426224b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Qualys, Inc.&lt;/b&gt; &lt;br&gt;https://www.qualys.com/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_610b6278a82bd5c8c58e18132aeb08eb.setContent(html_2ae358130a50770db0ee4b3ea426224b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c4c4f6666b02f054bfafeb55255c38d5.bindPopup(popup_2d6f04bdf5ab03aec53dbca407c70c8f)\n",
+       "        marker_2dc1b80e08439c5f288a8eb3b7ddb35c.bindPopup(popup_610b6278a82bd5c8c58e18132aeb08eb)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_1075e3286395ef189e49aaef89bc3361 = L.marker(\n",
+       "            var marker_154913d1de62ae07dafaf30d617a2e52 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a6233aa4ab28ca6b9f9d407e6794642b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4706ce38b1f0c97a4d494f39949ec4f4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_1075e3286395ef189e49aaef89bc3361.setIcon(icon_a6233aa4ab28ca6b9f9d407e6794642b);\n",
+       "            marker_154913d1de62ae07dafaf30d617a2e52.setIcon(icon_4706ce38b1f0c97a4d494f39949ec4f4);\n",
        "        \n",
        "    \n",
-       "        var popup_4f02161f06067025fb99b9c2c3fc7c7e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_833d2f762b241a292c233c61a1ab3f9e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f79c1dc8b1c2283e31993e4b3bd5a329 = $(`&lt;div id=&quot;html_f79c1dc8b1c2283e31993e4b3bd5a329&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Grafana Labs&lt;/b&gt; &lt;br&gt;https://grafana.com/security/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_4f02161f06067025fb99b9c2c3fc7c7e.setContent(html_f79c1dc8b1c2283e31993e4b3bd5a329);\n",
+       "                var html_f6c67c04bc87be1a8e1541327368017e = $(`&lt;div id=&quot;html_f6c67c04bc87be1a8e1541327368017e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Grafana Labs&lt;/b&gt; &lt;br&gt;https://grafana.com/security/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_833d2f762b241a292c233c61a1ab3f9e.setContent(html_f6c67c04bc87be1a8e1541327368017e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_1075e3286395ef189e49aaef89bc3361.bindPopup(popup_4f02161f06067025fb99b9c2c3fc7c7e)\n",
+       "        marker_154913d1de62ae07dafaf30d617a2e52.bindPopup(popup_833d2f762b241a292c233c61a1ab3f9e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9a4a00d215d0c1702f7240368d1de84a = L.marker(\n",
+       "            var marker_2a2174673a04250c2fc1b7c3440e1615 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_301049285d4229c01d040994229bd24f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6586f3281cf96a483b0cd8ea57cfb6a5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9a4a00d215d0c1702f7240368d1de84a.setIcon(icon_301049285d4229c01d040994229bd24f);\n",
+       "            marker_2a2174673a04250c2fc1b7c3440e1615.setIcon(icon_6586f3281cf96a483b0cd8ea57cfb6a5);\n",
        "        \n",
        "    \n",
-       "        var popup_8382f06a7bf07ee59e993a0e95636fa2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_fb493b5e0a23db8f1ab35a1eb1b97446 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c891d8ffc3b8af962efd493eb2a41eab = $(`&lt;div id=&quot;html_c891d8ffc3b8af962efd493eb2a41eab&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;wolfSSL Inc.&lt;/b&gt; &lt;br&gt;https://www.wolfssl.com/docs/security-vulnerabilities/&lt;/div&gt;`)[0];\n",
-       "                popup_8382f06a7bf07ee59e993a0e95636fa2.setContent(html_c891d8ffc3b8af962efd493eb2a41eab);\n",
+       "                var html_326f952c6eacd4d0c13f5b2a5e3ae5ea = $(`&lt;div id=&quot;html_326f952c6eacd4d0c13f5b2a5e3ae5ea&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;wolfSSL Inc.&lt;/b&gt; &lt;br&gt;https://www.wolfssl.com/docs/security-vulnerabilities/&lt;/div&gt;`)[0];\n",
+       "                popup_fb493b5e0a23db8f1ab35a1eb1b97446.setContent(html_326f952c6eacd4d0c13f5b2a5e3ae5ea);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9a4a00d215d0c1702f7240368d1de84a.bindPopup(popup_8382f06a7bf07ee59e993a0e95636fa2)\n",
+       "        marker_2a2174673a04250c2fc1b7c3440e1615.bindPopup(popup_fb493b5e0a23db8f1ab35a1eb1b97446)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c3441228a0d3651ca48e947ec850002f = L.marker(\n",
+       "            var marker_3dc0b92e18034906b6a34cad9f397dc3 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ae493b379963574b454b97368c9ab8ac = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_769bf2ce082686292db1dfe67743a575 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c3441228a0d3651ca48e947ec850002f.setIcon(icon_ae493b379963574b454b97368c9ab8ac);\n",
+       "            marker_3dc0b92e18034906b6a34cad9f397dc3.setIcon(icon_769bf2ce082686292db1dfe67743a575);\n",
        "        \n",
        "    \n",
-       "        var popup_c696a0fb8744d02d5d09da830bb52403 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c11744139fdb6a29a34253b28c3f4154 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4bd37ba2f1e4ecb062ee6fd8afdac2f4 = $(`&lt;div id=&quot;html_4bd37ba2f1e4ecb062ee6fd8afdac2f4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Docker Inc.&lt;/b&gt; &lt;br&gt;https://docs.docker.com/security/&lt;/div&gt;`)[0];\n",
-       "                popup_c696a0fb8744d02d5d09da830bb52403.setContent(html_4bd37ba2f1e4ecb062ee6fd8afdac2f4);\n",
+       "                var html_d45cc1a7c0fdfb17f40df81c58b2d812 = $(`&lt;div id=&quot;html_d45cc1a7c0fdfb17f40df81c58b2d812&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Docker Inc.&lt;/b&gt; &lt;br&gt;https://docs.docker.com/security/&lt;/div&gt;`)[0];\n",
+       "                popup_c11744139fdb6a29a34253b28c3f4154.setContent(html_d45cc1a7c0fdfb17f40df81c58b2d812);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c3441228a0d3651ca48e947ec850002f.bindPopup(popup_c696a0fb8744d02d5d09da830bb52403)\n",
+       "        marker_3dc0b92e18034906b6a34cad9f397dc3.bindPopup(popup_c11744139fdb6a29a34253b28c3f4154)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c5b37a49071b32bbb9600463c21bf8dd = L.marker(\n",
+       "            var marker_ce304e6bfd6993131fd6c04717aea2a6 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d9661497e072fbafe68a2c8e14be04d6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_915733bd0f9daba2c93e7fdd8aadde2d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c5b37a49071b32bbb9600463c21bf8dd.setIcon(icon_d9661497e072fbafe68a2c8e14be04d6);\n",
+       "            marker_ce304e6bfd6993131fd6c04717aea2a6.setIcon(icon_915733bd0f9daba2c93e7fdd8aadde2d);\n",
        "        \n",
        "    \n",
-       "        var popup_d53e09755e1f0914bd29171697ea9f7a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bc0d091354725ab64e9a2fdb8e6b8a04 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5ef7d806f0cc03131d43e46f821e0a85 = $(`&lt;div id=&quot;html_5ef7d806f0cc03131d43e46f821e0a85&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Proofpoint Inc.&lt;/b&gt; &lt;br&gt;https://proofpoint.com/security/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_d53e09755e1f0914bd29171697ea9f7a.setContent(html_5ef7d806f0cc03131d43e46f821e0a85);\n",
+       "                var html_0ba298aedf0fb39c0074285949a9751b = $(`&lt;div id=&quot;html_0ba298aedf0fb39c0074285949a9751b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Proofpoint Inc.&lt;/b&gt; &lt;br&gt;https://proofpoint.com/security/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_bc0d091354725ab64e9a2fdb8e6b8a04.setContent(html_0ba298aedf0fb39c0074285949a9751b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c5b37a49071b32bbb9600463c21bf8dd.bindPopup(popup_d53e09755e1f0914bd29171697ea9f7a)\n",
+       "        marker_ce304e6bfd6993131fd6c04717aea2a6.bindPopup(popup_bc0d091354725ab64e9a2fdb8e6b8a04)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4ac191baee23fc17aca604c9ca0b4f89 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_8e3b51a65ab50446bd47248b5b557092 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_2e4ef76fc7217074f19f1aacbb14229c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_52934d77bd190ce3eba8fa777f61b101 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4ac191baee23fc17aca604c9ca0b4f89.setIcon(icon_2e4ef76fc7217074f19f1aacbb14229c);\n",
+       "            marker_8e3b51a65ab50446bd47248b5b557092.setIcon(icon_52934d77bd190ce3eba8fa777f61b101);\n",
        "        \n",
        "    \n",
-       "        var popup_6a55ecfd25da4fc015a1aecd9362b6d5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_f3469cfa3697fe8507891fe7d620f1df = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_acd5b230ce317fc60665c37e67007fce = $(`&lt;div id=&quot;html_acd5b230ce317fc60665c37e67007fce&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Baidu, Inc.&lt;/b&gt; &lt;br&gt;https://github.com/PaddlePaddle/Paddle/tree/develop/security&lt;/div&gt;`)[0];\n",
-       "                popup_6a55ecfd25da4fc015a1aecd9362b6d5.setContent(html_acd5b230ce317fc60665c37e67007fce);\n",
+       "                var html_0dae2734e64219fd5491b640368c9bc8 = $(`&lt;div id=&quot;html_0dae2734e64219fd5491b640368c9bc8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Baidu, Inc.&lt;/b&gt; &lt;br&gt;https://github.com/PaddlePaddle/Paddle/tree/develop/security&lt;/div&gt;`)[0];\n",
+       "                popup_f3469cfa3697fe8507891fe7d620f1df.setContent(html_0dae2734e64219fd5491b640368c9bc8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4ac191baee23fc17aca604c9ca0b4f89.bindPopup(popup_6a55ecfd25da4fc015a1aecd9362b6d5)\n",
+       "        marker_8e3b51a65ab50446bd47248b5b557092.bindPopup(popup_f3469cfa3697fe8507891fe7d620f1df)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0b5b1fa4d30a434a5e17d8ca69f927b3 = L.marker(\n",
+       "            var marker_2c46e7fd8ea3b80d2e5e34f315e45b92 = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e27e2a277624ac20fd75cbd5fc2d7b36 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7ad6bd49a4ed2c50610a87c46e9b020d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0b5b1fa4d30a434a5e17d8ca69f927b3.setIcon(icon_e27e2a277624ac20fd75cbd5fc2d7b36);\n",
+       "            marker_2c46e7fd8ea3b80d2e5e34f315e45b92.setIcon(icon_7ad6bd49a4ed2c50610a87c46e9b020d);\n",
        "        \n",
        "    \n",
-       "        var popup_5971013205d4d9f94a4b4d845353b634 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5fd38bed7523a38caf96d85346f337e5 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b386ea8724a7508441f12dc07bc5feff = $(`&lt;div id=&quot;html_b386ea8724a7508441f12dc07bc5feff&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Canon Inc.&lt;/b&gt; &lt;br&gt;https://psirt.canon/advisory-information/&lt;/div&gt;`)[0];\n",
-       "                popup_5971013205d4d9f94a4b4d845353b634.setContent(html_b386ea8724a7508441f12dc07bc5feff);\n",
+       "                var html_dbfa3bd458c4b2e7307194acde7280b4 = $(`&lt;div id=&quot;html_dbfa3bd458c4b2e7307194acde7280b4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Canon Inc.&lt;/b&gt; &lt;br&gt;https://psirt.canon/advisory-information/&lt;/div&gt;`)[0];\n",
+       "                popup_5fd38bed7523a38caf96d85346f337e5.setContent(html_dbfa3bd458c4b2e7307194acde7280b4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0b5b1fa4d30a434a5e17d8ca69f927b3.bindPopup(popup_5971013205d4d9f94a4b4d845353b634)\n",
+       "        marker_2c46e7fd8ea3b80d2e5e34f315e45b92.bindPopup(popup_5fd38bed7523a38caf96d85346f337e5)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b5a7f7589f3521af711407f484cd9106 = L.marker(\n",
+       "            var marker_b7c0cd597eba965ca3734fa60c5fff27 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_63003a7c1e960204d62f2a7b378b39fb = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_127215052c5b4bf42bd25c63a50d6d52 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b5a7f7589f3521af711407f484cd9106.setIcon(icon_63003a7c1e960204d62f2a7b378b39fb);\n",
+       "            marker_b7c0cd597eba965ca3734fa60c5fff27.setIcon(icon_127215052c5b4bf42bd25c63a50d6d52);\n",
        "        \n",
        "    \n",
-       "        var popup_403e5cbb6d74df4f22f20e34fa97f890 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a10b0d34f3b80496ed5e160f5dea953e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4cd2e5bdfe3d898fefe7fb2c9a54c929 = $(`&lt;div id=&quot;html_4cd2e5bdfe3d898fefe7fb2c9a54c929&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Checkmk GmbH&lt;/b&gt; &lt;br&gt;https://checkmk.com/werks&lt;/div&gt;`)[0];\n",
-       "                popup_403e5cbb6d74df4f22f20e34fa97f890.setContent(html_4cd2e5bdfe3d898fefe7fb2c9a54c929);\n",
+       "                var html_4895430232db9ff1e97c1d509b11908c = $(`&lt;div id=&quot;html_4895430232db9ff1e97c1d509b11908c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Checkmk GmbH&lt;/b&gt; &lt;br&gt;https://checkmk.com/werks&lt;/div&gt;`)[0];\n",
+       "                popup_a10b0d34f3b80496ed5e160f5dea953e.setContent(html_4895430232db9ff1e97c1d509b11908c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b5a7f7589f3521af711407f484cd9106.bindPopup(popup_403e5cbb6d74df4f22f20e34fa97f890)\n",
+       "        marker_b7c0cd597eba965ca3734fa60c5fff27.bindPopup(popup_a10b0d34f3b80496ed5e160f5dea953e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_80e569097ec3096cef0b91db580cb93b = L.marker(\n",
+       "            var marker_0d485b31225169fb759227f111c149b4 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_633ba6d375427ea753c860cf32ae41f6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_1dc50f64c92a581cdd0b3fa43402161a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_80e569097ec3096cef0b91db580cb93b.setIcon(icon_633ba6d375427ea753c860cf32ae41f6);\n",
+       "            marker_0d485b31225169fb759227f111c149b4.setIcon(icon_1dc50f64c92a581cdd0b3fa43402161a);\n",
        "        \n",
        "    \n",
-       "        var popup_89a52f9f9000b7e38591a6b747dc1e8b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2817cd55634f445b457323e6c0ab5092 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_664217dcbfbb7a06cdc554ccc914b6bf = $(`&lt;div id=&quot;html_664217dcbfbb7a06cdc554ccc914b6bf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;dotCMS LLC&lt;/b&gt; &lt;br&gt;https://www.dotcms.com/docs/latest/known-security-issues&lt;/div&gt;`)[0];\n",
-       "                popup_89a52f9f9000b7e38591a6b747dc1e8b.setContent(html_664217dcbfbb7a06cdc554ccc914b6bf);\n",
+       "                var html_3dc336a45918870aa5993508141b310f = $(`&lt;div id=&quot;html_3dc336a45918870aa5993508141b310f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;dotCMS LLC&lt;/b&gt; &lt;br&gt;https://www.dotcms.com/docs/latest/known-security-issues&lt;/div&gt;`)[0];\n",
+       "                popup_2817cd55634f445b457323e6c0ab5092.setContent(html_3dc336a45918870aa5993508141b310f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_80e569097ec3096cef0b91db580cb93b.bindPopup(popup_89a52f9f9000b7e38591a6b747dc1e8b)\n",
+       "        marker_0d485b31225169fb759227f111c149b4.bindPopup(popup_2817cd55634f445b457323e6c0ab5092)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_75eaf472ef4dc3370668b4eb5b70f71b = L.marker(\n",
+       "            var marker_e34dfbd66483c3a1c2376eed21960907 = L.marker(\n",
        "                [64.5731537, 11.52803643954819],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_70f2c8248cc0839489c8485dc0103857 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_10843e1d783e08be09fdbc703ece01d6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_75eaf472ef4dc3370668b4eb5b70f71b.setIcon(icon_70f2c8248cc0839489c8485dc0103857);\n",
+       "            marker_e34dfbd66483c3a1c2376eed21960907.setIcon(icon_10843e1d783e08be09fdbc703ece01d6);\n",
        "        \n",
        "    \n",
-       "        var popup_56193bedd11150b5ddcfe8aff1fec8a9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_f5f8c08fb21874e1ae284fee18427d0c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a4b958d8bf825db813aaa4fbeb6d5a15 = $(`&lt;div id=&quot;html_a4b958d8bf825db813aaa4fbeb6d5a15&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The HISP Centre at the University of Oslo&lt;/b&gt; &lt;br&gt;https://dhis2.org/security/vulnerabilities/&lt;/div&gt;`)[0];\n",
-       "                popup_56193bedd11150b5ddcfe8aff1fec8a9.setContent(html_a4b958d8bf825db813aaa4fbeb6d5a15);\n",
+       "                var html_705ede5c169fadda7fcbfa91df772ded = $(`&lt;div id=&quot;html_705ede5c169fadda7fcbfa91df772ded&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The HISP Centre at the University of Oslo&lt;/b&gt; &lt;br&gt;https://dhis2.org/security/vulnerabilities/&lt;/div&gt;`)[0];\n",
+       "                popup_f5f8c08fb21874e1ae284fee18427d0c.setContent(html_705ede5c169fadda7fcbfa91df772ded);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_75eaf472ef4dc3370668b4eb5b70f71b.bindPopup(popup_56193bedd11150b5ddcfe8aff1fec8a9)\n",
+       "        marker_e34dfbd66483c3a1c2376eed21960907.bindPopup(popup_f5f8c08fb21874e1ae284fee18427d0c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3fd2751c2874269854932d4c2190bd5a = L.marker(\n",
+       "            var marker_e9d5fc2f13b294dbdbb6a61aa819d13a = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3b1673e9f7c9368297527717cbe95cdc = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ee9722b56305d27384950d62d765a04c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3fd2751c2874269854932d4c2190bd5a.setIcon(icon_3b1673e9f7c9368297527717cbe95cdc);\n",
+       "            marker_e9d5fc2f13b294dbdbb6a61aa819d13a.setIcon(icon_ee9722b56305d27384950d62d765a04c);\n",
        "        \n",
        "    \n",
-       "        var popup_3c0a167b09a70315a1beb73214a6bbee = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2a99f3867e5f450b6b1dc38c900f2e2b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d036154fd0f43414ad3589dcbfa0927a = $(`&lt;div id=&quot;html_d036154fd0f43414ad3589dcbfa0927a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;National Instruments&lt;/b&gt; &lt;br&gt;https://www.ni.com/en-us/support/documentation/supplemental/11/available-critical-and-security-updates-for-ni-software.html&lt;/div&gt;`)[0];\n",
-       "                popup_3c0a167b09a70315a1beb73214a6bbee.setContent(html_d036154fd0f43414ad3589dcbfa0927a);\n",
+       "                var html_fdbe7c20f5145c1d0e0673c4945cf53f = $(`&lt;div id=&quot;html_fdbe7c20f5145c1d0e0673c4945cf53f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;National Instruments&lt;/b&gt; &lt;br&gt;https://www.ni.com/en-us/support/documentation/supplemental/11/available-critical-and-security-updates-for-ni-software.html&lt;/div&gt;`)[0];\n",
+       "                popup_2a99f3867e5f450b6b1dc38c900f2e2b.setContent(html_fdbe7c20f5145c1d0e0673c4945cf53f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3fd2751c2874269854932d4c2190bd5a.bindPopup(popup_3c0a167b09a70315a1beb73214a6bbee)\n",
+       "        marker_e9d5fc2f13b294dbdbb6a61aa819d13a.bindPopup(popup_2a99f3867e5f450b6b1dc38c900f2e2b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c66b4e756597194769e8efb241ac8e1a = L.marker(\n",
+       "            var marker_7b80ea0f8c48f13120d501dd74b131bc = L.marker(\n",
        "                [61.0666922, -107.991707],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f1bcc27d90db914db99d00c0ba86e4bf = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_bc51b6fb12b20988c13f735ac9da21d2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c66b4e756597194769e8efb241ac8e1a.setIcon(icon_f1bcc27d90db914db99d00c0ba86e4bf);\n",
+       "            marker_7b80ea0f8c48f13120d501dd74b131bc.setIcon(icon_bc51b6fb12b20988c13f735ac9da21d2);\n",
        "        \n",
        "    \n",
-       "        var popup_a961ca6ad17270540864d36c0a4e1301 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_330553bf9191a97abd6b05f00ec22c29 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_26b50a6c6d3e34c6fabfeb7f3885d81f = $(`&lt;div id=&quot;html_26b50a6c6d3e34c6fabfeb7f3885d81f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Genetec Inc.&lt;/b&gt; &lt;br&gt;https://resources.genetec.com/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_a961ca6ad17270540864d36c0a4e1301.setContent(html_26b50a6c6d3e34c6fabfeb7f3885d81f);\n",
+       "                var html_7df16393d563ee8f47485e7be4699536 = $(`&lt;div id=&quot;html_7df16393d563ee8f47485e7be4699536&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Genetec Inc.&lt;/b&gt; &lt;br&gt;https://resources.genetec.com/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_330553bf9191a97abd6b05f00ec22c29.setContent(html_7df16393d563ee8f47485e7be4699536);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c66b4e756597194769e8efb241ac8e1a.bindPopup(popup_a961ca6ad17270540864d36c0a4e1301)\n",
+       "        marker_7b80ea0f8c48f13120d501dd74b131bc.bindPopup(popup_330553bf9191a97abd6b05f00ec22c29)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_24b32eec74d19c2da381a7b5877a5bd1 = L.marker(\n",
+       "            var marker_00e739d129fa82c748bf88e07050359c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_415491e2c8f16e1dd22c9387ba085e5c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_10df403e6f258cf54cbf3a1cb102783a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_24b32eec74d19c2da381a7b5877a5bd1.setIcon(icon_415491e2c8f16e1dd22c9387ba085e5c);\n",
+       "            marker_00e739d129fa82c748bf88e07050359c.setIcon(icon_10df403e6f258cf54cbf3a1cb102783a);\n",
        "        \n",
        "    \n",
-       "        var popup_da1fea43f9d6aa9e29789f99cd95521f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a68ff02415abc14e728f3bb7595c41fb = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9f2ef34d9052bb08c95f059bd0ddab0d = $(`&lt;div id=&quot;html_9f2ef34d9052bb08c95f059bd0ddab0d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Austin Hackers Anonymous&lt;/b&gt; &lt;br&gt;https://takeonme.org/cve.html&lt;/div&gt;`)[0];\n",
-       "                popup_da1fea43f9d6aa9e29789f99cd95521f.setContent(html_9f2ef34d9052bb08c95f059bd0ddab0d);\n",
+       "                var html_93474b95b00455caa446f4faee494d49 = $(`&lt;div id=&quot;html_93474b95b00455caa446f4faee494d49&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Austin Hackers Anonymous&lt;/b&gt; &lt;br&gt;https://takeonme.org/cve.html&lt;/div&gt;`)[0];\n",
+       "                popup_a68ff02415abc14e728f3bb7595c41fb.setContent(html_93474b95b00455caa446f4faee494d49);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_24b32eec74d19c2da381a7b5877a5bd1.bindPopup(popup_da1fea43f9d6aa9e29789f99cd95521f)\n",
+       "        marker_00e739d129fa82c748bf88e07050359c.bindPopup(popup_a68ff02415abc14e728f3bb7595c41fb)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f9469263a5df0f823b15db9cb0527478 = L.marker(\n",
+       "            var marker_9f39bacd0b79f7864bf98237c772c709 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cf3dc34376be1385587048fe4cb06206 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0d3f329d6aa37389d4601e439460a5b2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f9469263a5df0f823b15db9cb0527478.setIcon(icon_cf3dc34376be1385587048fe4cb06206);\n",
+       "            marker_9f39bacd0b79f7864bf98237c772c709.setIcon(icon_0d3f329d6aa37389d4601e439460a5b2);\n",
        "        \n",
        "    \n",
-       "        var popup_63ad444562ffa466c6319abc814510f7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_dc65822a7deb472e23868ca00decef1f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a2cf23e56e2b7aa005e8ecaf700546cd = $(`&lt;div id=&quot;html_a2cf23e56e2b7aa005e8ecaf700546cd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Exodus Intelligence&lt;/b&gt; &lt;br&gt;https://blog.exodusintel.com/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_63ad444562ffa466c6319abc814510f7.setContent(html_a2cf23e56e2b7aa005e8ecaf700546cd);\n",
+       "                var html_ba32f997ac8ae661e7ca2605f6daa9a3 = $(`&lt;div id=&quot;html_ba32f997ac8ae661e7ca2605f6daa9a3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Exodus Intelligence&lt;/b&gt; &lt;br&gt;https://blog.exodusintel.com/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_dc65822a7deb472e23868ca00decef1f.setContent(html_ba32f997ac8ae661e7ca2605f6daa9a3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f9469263a5df0f823b15db9cb0527478.bindPopup(popup_63ad444562ffa466c6319abc814510f7)\n",
+       "        marker_9f39bacd0b79f7864bf98237c772c709.bindPopup(popup_dc65822a7deb472e23868ca00decef1f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4e091320b8a11e9c769c8f2aa1079525 = L.marker(\n",
+       "            var marker_b78f64cf5f693d65147c2347f34084e3 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_300a44c1469146547c121264ddc6b5e7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cdbd0d18a14b3211cafd0a85034b4311 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4e091320b8a11e9c769c8f2aa1079525.setIcon(icon_300a44c1469146547c121264ddc6b5e7);\n",
+       "            marker_b78f64cf5f693d65147c2347f34084e3.setIcon(icon_cdbd0d18a14b3211cafd0a85034b4311);\n",
        "        \n",
        "    \n",
-       "        var popup_8fd12a56458cb4148b3773272e8b9d81 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3e151ced493fcb8b20a1cb7b7f4d6206 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0e18ada7847a42e050e576de448569da = $(`&lt;div id=&quot;html_0e18ada7847a42e050e576de448569da&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;B. Braun SE&lt;/b&gt; &lt;br&gt;https://www.bbraun.com/en/products-and-solutions/b--braun-product-security.html&lt;/div&gt;`)[0];\n",
-       "                popup_8fd12a56458cb4148b3773272e8b9d81.setContent(html_0e18ada7847a42e050e576de448569da);\n",
+       "                var html_5aedb03e2b7f0465a184d16d92f33665 = $(`&lt;div id=&quot;html_5aedb03e2b7f0465a184d16d92f33665&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;B. Braun SE&lt;/b&gt; &lt;br&gt;https://www.bbraun.com/en/products-and-solutions/b--braun-product-security.html&lt;/div&gt;`)[0];\n",
+       "                popup_3e151ced493fcb8b20a1cb7b7f4d6206.setContent(html_5aedb03e2b7f0465a184d16d92f33665);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4e091320b8a11e9c769c8f2aa1079525.bindPopup(popup_8fd12a56458cb4148b3773272e8b9d81)\n",
+       "        marker_b78f64cf5f693d65147c2347f34084e3.bindPopup(popup_3e151ced493fcb8b20a1cb7b7f4d6206)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0969a684b481dc486a35973b5f6143a5 = L.marker(\n",
+       "            var marker_bbe09fbeb674b6057eca5df5f575b2a0 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6b5bd9b37c7e67aef80fd2c6a9135943 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_502f4bcbfa4c0152f9eb823b0f6abcf4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0969a684b481dc486a35973b5f6143a5.setIcon(icon_6b5bd9b37c7e67aef80fd2c6a9135943);\n",
+       "            marker_bbe09fbeb674b6057eca5df5f575b2a0.setIcon(icon_502f4bcbfa4c0152f9eb823b0f6abcf4);\n",
        "        \n",
        "    \n",
-       "        var popup_f66af444b0d6338a5932347af6524a38 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_25bb5e56155b3ec2b3d93448a0e46cfd = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8420c2ab13ca5723a137583cd86df8ca = $(`&lt;div id=&quot;html_8420c2ab13ca5723a137583cd86df8ca&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Open-Xchange&lt;/b&gt; &lt;br&gt;https://documentation.open-xchange.com/appsuite/security/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_f66af444b0d6338a5932347af6524a38.setContent(html_8420c2ab13ca5723a137583cd86df8ca);\n",
+       "                var html_a1809f5f80dc0573599421280531790e = $(`&lt;div id=&quot;html_a1809f5f80dc0573599421280531790e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Open-Xchange&lt;/b&gt; &lt;br&gt;https://documentation.open-xchange.com/appsuite/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_25bb5e56155b3ec2b3d93448a0e46cfd.setContent(html_a1809f5f80dc0573599421280531790e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0969a684b481dc486a35973b5f6143a5.bindPopup(popup_f66af444b0d6338a5932347af6524a38)\n",
+       "        marker_bbe09fbeb674b6057eca5df5f575b2a0.bindPopup(popup_25bb5e56155b3ec2b3d93448a0e46cfd)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_adac367e47b51925480072b0255176bc = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_29439f4dec86f7e3a82d4f7473e136b9 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_caf56d5de76742635f78daa86fc6e5fb = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8e2bcac86e6d8f6d736b2e83fcf9872f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_adac367e47b51925480072b0255176bc.setIcon(icon_caf56d5de76742635f78daa86fc6e5fb);\n",
+       "            marker_29439f4dec86f7e3a82d4f7473e136b9.setIcon(icon_8e2bcac86e6d8f6d736b2e83fcf9872f);\n",
        "        \n",
        "    \n",
-       "        var popup_2f1c5ec3eebad4f757938b76d10ff95c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7c2774be4e9584c35feb9b38495d32c7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_21449e9b8801746f3c4b95551811f37a = $(`&lt;div id=&quot;html_21449e9b8801746f3c4b95551811f37a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hillstone Networks Inc.&lt;/b&gt; &lt;br&gt;https://www.hillstonenet.com.cn/support-and-training/psirt/&lt;/div&gt;`)[0];\n",
-       "                popup_2f1c5ec3eebad4f757938b76d10ff95c.setContent(html_21449e9b8801746f3c4b95551811f37a);\n",
+       "                var html_8154efcac18296f13dac08e454188a5a = $(`&lt;div id=&quot;html_8154efcac18296f13dac08e454188a5a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hillstone Networks Inc.&lt;/b&gt; &lt;br&gt;https://www.hillstonenet.com.cn/support-and-training/psirt/&lt;/div&gt;`)[0];\n",
+       "                popup_7c2774be4e9584c35feb9b38495d32c7.setContent(html_8154efcac18296f13dac08e454188a5a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_adac367e47b51925480072b0255176bc.bindPopup(popup_2f1c5ec3eebad4f757938b76d10ff95c)\n",
+       "        marker_29439f4dec86f7e3a82d4f7473e136b9.bindPopup(popup_7c2774be4e9584c35feb9b38495d32c7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_965aa665941fc146692e306186a331d9 = L.marker(\n",
+       "            var marker_c5a59f065088b578afdd7f7edcfc1582 = L.marker(\n",
        "                [1.357107, 103.8194992],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e88299f6e3c90987ea46968f48bd3c07 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6e077104a8531171c49e6e5da692eb39 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_965aa665941fc146692e306186a331d9.setIcon(icon_e88299f6e3c90987ea46968f48bd3c07);\n",
+       "            marker_c5a59f065088b578afdd7f7edcfc1582.setIcon(icon_6e077104a8531171c49e6e5da692eb39);\n",
        "        \n",
        "    \n",
-       "        var popup_63d818f53007a4fa8ce97e665de24216 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b7690b642f3f5b5229b0103ea1ea27bd = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_51e521a3ce265e8658d228420d593bd4 = $(`&lt;div id=&quot;html_51e521a3ce265e8658d228420d593bd4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;STAR Labs SG Pte. Ltd.&lt;/b&gt; &lt;br&gt;https://starlabs.sg/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_63d818f53007a4fa8ce97e665de24216.setContent(html_51e521a3ce265e8658d228420d593bd4);\n",
+       "                var html_a3eaff5686d1e072f438398289afcab5 = $(`&lt;div id=&quot;html_a3eaff5686d1e072f438398289afcab5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;STAR Labs SG Pte. Ltd.&lt;/b&gt; &lt;br&gt;https://starlabs.sg/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_b7690b642f3f5b5229b0103ea1ea27bd.setContent(html_a3eaff5686d1e072f438398289afcab5);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_965aa665941fc146692e306186a331d9.bindPopup(popup_63d818f53007a4fa8ce97e665de24216)\n",
+       "        marker_c5a59f065088b578afdd7f7edcfc1582.bindPopup(popup_b7690b642f3f5b5229b0103ea1ea27bd)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_5b19fbc1f993d941211dd96956f6d6fa = L.marker(\n",
+       "            var marker_01c1372af307e216f3ce2d4469a10189 = L.marker(\n",
        "                [-28.8166236, 24.991639],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bf24031bb93d8d08c6db610bf6e73792 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_39e6e755700e760ce86abc26bf802cc5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_5b19fbc1f993d941211dd96956f6d6fa.setIcon(icon_bf24031bb93d8d08c6db610bf6e73792);\n",
+       "            marker_01c1372af307e216f3ce2d4469a10189.setIcon(icon_39e6e755700e760ce86abc26bf802cc5);\n",
        "        \n",
        "    \n",
-       "        var popup_46c075088cc1ca3d2d1e462c86d95b84 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e25ba0fddb8a70f4ae2b9fc2f88caedf = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c2a1df9b490427380207b757ef9f16f4 = $(`&lt;div id=&quot;html_c2a1df9b490427380207b757ef9f16f4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Shop Beat Solutions (Pty) LTD&lt;/b&gt; &lt;br&gt;https://www.shopbeat.co.za/security_advisory_location.html&lt;/div&gt;`)[0];\n",
-       "                popup_46c075088cc1ca3d2d1e462c86d95b84.setContent(html_c2a1df9b490427380207b757ef9f16f4);\n",
+       "                var html_3b70856be8547e8e1922ad560e0b5988 = $(`&lt;div id=&quot;html_3b70856be8547e8e1922ad560e0b5988&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Shop Beat Solutions (Pty) LTD&lt;/b&gt; &lt;br&gt;https://www.shopbeat.co.za/security_advisory_location.html&lt;/div&gt;`)[0];\n",
+       "                popup_e25ba0fddb8a70f4ae2b9fc2f88caedf.setContent(html_3b70856be8547e8e1922ad560e0b5988);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_5b19fbc1f993d941211dd96956f6d6fa.bindPopup(popup_46c075088cc1ca3d2d1e462c86d95b84)\n",
+       "        marker_01c1372af307e216f3ce2d4469a10189.bindPopup(popup_e25ba0fddb8a70f4ae2b9fc2f88caedf)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4c5025ba866a86e42b819668771c3b76 = L.marker(\n",
+       "            var marker_93831ac3aa8fbe8e642751984765e13f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b6f2a1415c784fb62abc54f4156d597d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d2f9ea9e104309aff6dff5c57a925911 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4c5025ba866a86e42b819668771c3b76.setIcon(icon_b6f2a1415c784fb62abc54f4156d597d);\n",
+       "            marker_93831ac3aa8fbe8e642751984765e13f.setIcon(icon_d2f9ea9e104309aff6dff5c57a925911);\n",
        "        \n",
        "    \n",
-       "        var popup_2536ae4df22c6b12ff163e0905ac86ee = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_27ca4188f991bac7753efe46d9867df0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_52c1d1d07e14f7565ef82d033e311623 = $(`&lt;div id=&quot;html_52c1d1d07e14f7565ef82d033e311623&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ServiceNow&lt;/b&gt; &lt;br&gt;https://support.servicenow.com/kb?id=kb_article_view&amp;sysparm_article=KB1226057&lt;/div&gt;`)[0];\n",
-       "                popup_2536ae4df22c6b12ff163e0905ac86ee.setContent(html_52c1d1d07e14f7565ef82d033e311623);\n",
+       "                var html_eaa28ad87b2e7e17a8c360e51275d7ad = $(`&lt;div id=&quot;html_eaa28ad87b2e7e17a8c360e51275d7ad&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ServiceNow&lt;/b&gt; &lt;br&gt;https://support.servicenow.com/kb?id=kb_article_view&amp;sysparm_article=KB1226057&lt;/div&gt;`)[0];\n",
+       "                popup_27ca4188f991bac7753efe46d9867df0.setContent(html_eaa28ad87b2e7e17a8c360e51275d7ad);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4c5025ba866a86e42b819668771c3b76.bindPopup(popup_2536ae4df22c6b12ff163e0905ac86ee)\n",
+       "        marker_93831ac3aa8fbe8e642751984765e13f.bindPopup(popup_27ca4188f991bac7753efe46d9867df0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8554d89fe014b54c780c63dba5b11898 = L.marker(\n",
+       "            var marker_85e2e1ca8c26309380f18786168e1428 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8a6b02974d88bf73276ce94a1523205a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d98a9a2cfb226eba257e9601da4e31de = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8554d89fe014b54c780c63dba5b11898.setIcon(icon_8a6b02974d88bf73276ce94a1523205a);\n",
+       "            marker_85e2e1ca8c26309380f18786168e1428.setIcon(icon_d98a9a2cfb226eba257e9601da4e31de);\n",
        "        \n",
        "    \n",
-       "        var popup_4a275f4edf43d0b04bfa80084f4313c3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e2e1690c03c49649549ed1245b498b87 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e27600ab303d529a110c6f252eb76eef = $(`&lt;div id=&quot;html_e27600ab303d529a110c6f252eb76eef&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;WatchGuard Technologies, Inc.&lt;/b&gt; &lt;br&gt;https://www.watchguard.com/wgrd-psirt/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_4a275f4edf43d0b04bfa80084f4313c3.setContent(html_e27600ab303d529a110c6f252eb76eef);\n",
+       "                var html_9680da77cde4c4fe5f90926071716e7a = $(`&lt;div id=&quot;html_9680da77cde4c4fe5f90926071716e7a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;WatchGuard Technologies, Inc.&lt;/b&gt; &lt;br&gt;https://www.watchguard.com/wgrd-psirt/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_e2e1690c03c49649549ed1245b498b87.setContent(html_9680da77cde4c4fe5f90926071716e7a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8554d89fe014b54c780c63dba5b11898.bindPopup(popup_4a275f4edf43d0b04bfa80084f4313c3)\n",
+       "        marker_85e2e1ca8c26309380f18786168e1428.bindPopup(popup_e2e1690c03c49649549ed1245b498b87)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8ae2e4f14991c5c5f8c2ef2dcfc311f7 = L.marker(\n",
+       "            var marker_08b3a43b93b4350e292d5abcf3a54862 = L.marker(\n",
        "                [46.603354, 1.8883335],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_65fc361160f62be1735938abb733fdf3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_eb8e8ac1572046bdc801b4335a955eaf = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8ae2e4f14991c5c5f8c2ef2dcfc311f7.setIcon(icon_65fc361160f62be1735938abb733fdf3);\n",
+       "            marker_08b3a43b93b4350e292d5abcf3a54862.setIcon(icon_eb8e8ac1572046bdc801b4335a955eaf);\n",
        "        \n",
        "    \n",
-       "        var popup_ca7d5f15e1548cc67a370d38583c1213 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_605df91fc67673d6cbe94aca0e17c00e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6bb5bc99cfbd3cba35d707f1f353c35c = $(`&lt;div id=&quot;html_6bb5bc99cfbd3cba35d707f1f353c35c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;IDEMIA&lt;/b&gt; &lt;br&gt;https://www.idemia.com/vulnerability-information&lt;/div&gt;`)[0];\n",
-       "                popup_ca7d5f15e1548cc67a370d38583c1213.setContent(html_6bb5bc99cfbd3cba35d707f1f353c35c);\n",
+       "                var html_fb80eb8da418cfac6a3bc0840bafb4bb = $(`&lt;div id=&quot;html_fb80eb8da418cfac6a3bc0840bafb4bb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;IDEMIA&lt;/b&gt; &lt;br&gt;https://www.idemia.com/vulnerability-information&lt;/div&gt;`)[0];\n",
+       "                popup_605df91fc67673d6cbe94aca0e17c00e.setContent(html_fb80eb8da418cfac6a3bc0840bafb4bb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8ae2e4f14991c5c5f8c2ef2dcfc311f7.bindPopup(popup_ca7d5f15e1548cc67a370d38583c1213)\n",
+       "        marker_08b3a43b93b4350e292d5abcf3a54862.bindPopup(popup_605df91fc67673d6cbe94aca0e17c00e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6511740873d6e5a5c955306970139c66 = L.marker(\n",
+       "            var marker_ab884d5a82cd9dad5fb9fc51858c1bdf = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_16d65baabb30ae39fce62d5e4fbaa7dc = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4d690cfaa70f0b60fed0e1472d5d77c2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6511740873d6e5a5c955306970139c66.setIcon(icon_16d65baabb30ae39fce62d5e4fbaa7dc);\n",
+       "            marker_ab884d5a82cd9dad5fb9fc51858c1bdf.setIcon(icon_4d690cfaa70f0b60fed0e1472d5d77c2);\n",
        "        \n",
        "    \n",
-       "        var popup_e39e281b7f806bf9bb91d81dc0971929 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_17862a84adaf9db80acd83272630fa06 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e378a92d36f6388c84d3d39fcc8bd10c = $(`&lt;div id=&quot;html_e378a92d36f6388c84d3d39fcc8bd10c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Glyph &amp; Cog, LLC&lt;/b&gt; &lt;br&gt;https://www.xpdfreader.com/security-fixes.html&lt;/div&gt;`)[0];\n",
-       "                popup_e39e281b7f806bf9bb91d81dc0971929.setContent(html_e378a92d36f6388c84d3d39fcc8bd10c);\n",
+       "                var html_cadd9093df33cb35d5e6f8ba74b53c71 = $(`&lt;div id=&quot;html_cadd9093df33cb35d5e6f8ba74b53c71&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Glyph &amp; Cog, LLC&lt;/b&gt; &lt;br&gt;https://www.xpdfreader.com/security-fixes.html&lt;/div&gt;`)[0];\n",
+       "                popup_17862a84adaf9db80acd83272630fa06.setContent(html_cadd9093df33cb35d5e6f8ba74b53c71);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6511740873d6e5a5c955306970139c66.bindPopup(popup_e39e281b7f806bf9bb91d81dc0971929)\n",
+       "        marker_ab884d5a82cd9dad5fb9fc51858c1bdf.bindPopup(popup_17862a84adaf9db80acd83272630fa06)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4e21f898efe01a2222d5ec32e4a4293d = L.marker(\n",
+       "            var marker_eee6846cc91bd0519a2a930860733cda = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6dc046c071040a1c45583253799d29a4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f86a0dc4a56ac7371912ef250b1405bb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4e21f898efe01a2222d5ec32e4a4293d.setIcon(icon_6dc046c071040a1c45583253799d29a4);\n",
+       "            marker_eee6846cc91bd0519a2a930860733cda.setIcon(icon_f86a0dc4a56ac7371912ef250b1405bb);\n",
        "        \n",
        "    \n",
-       "        var popup_899500599c46de98501ea516c4c44e7b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_de398f85f08285d8d36fdab55e4adb6d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_77f7804ed649bf02e0bb8bab481d090b = $(`&lt;div id=&quot;html_77f7804ed649bf02e0bb8bab481d090b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Liferay, Inc.&lt;/b&gt; &lt;br&gt;https://liferay.dev/portal/security/known-vulnerabilities&lt;/div&gt;`)[0];\n",
-       "                popup_899500599c46de98501ea516c4c44e7b.setContent(html_77f7804ed649bf02e0bb8bab481d090b);\n",
+       "                var html_417321d0b50ac729078475dcd66c557c = $(`&lt;div id=&quot;html_417321d0b50ac729078475dcd66c557c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Liferay, Inc.&lt;/b&gt; &lt;br&gt;https://liferay.dev/portal/security/known-vulnerabilities&lt;/div&gt;`)[0];\n",
+       "                popup_de398f85f08285d8d36fdab55e4adb6d.setContent(html_417321d0b50ac729078475dcd66c557c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4e21f898efe01a2222d5ec32e4a4293d.bindPopup(popup_899500599c46de98501ea516c4c44e7b)\n",
+       "        marker_eee6846cc91bd0519a2a930860733cda.bindPopup(popup_de398f85f08285d8d36fdab55e4adb6d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_653e3177fc6ebf609557dbbf7854b21e = L.marker(\n",
+       "            var marker_1334130a88d662664dd4a826b8f0c4c0 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_914628538b8ad260c2e73db106bc3e51 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_1335a73bcd272af2c7926c700d03968f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_653e3177fc6ebf609557dbbf7854b21e.setIcon(icon_914628538b8ad260c2e73db106bc3e51);\n",
+       "            marker_1334130a88d662664dd4a826b8f0c4c0.setIcon(icon_1335a73bcd272af2c7926c700d03968f);\n",
        "        \n",
        "    \n",
-       "        var popup_8b7b886afa2411cf810210629c596bd6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a39fc063d6cb9df5cd07664cde8709b2 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4eac6a7c4797b279c0694d53d504554e = $(`&lt;div id=&quot;html_4eac6a7c4797b279c0694d53d504554e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Securifera, Inc.&lt;/b&gt; &lt;br&gt;https://www.securifera.com/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_8b7b886afa2411cf810210629c596bd6.setContent(html_4eac6a7c4797b279c0694d53d504554e);\n",
+       "                var html_d40840a302349c35a2a464f5261d937c = $(`&lt;div id=&quot;html_d40840a302349c35a2a464f5261d937c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Securifera, Inc.&lt;/b&gt; &lt;br&gt;https://www.securifera.com/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_a39fc063d6cb9df5cd07664cde8709b2.setContent(html_d40840a302349c35a2a464f5261d937c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_653e3177fc6ebf609557dbbf7854b21e.bindPopup(popup_8b7b886afa2411cf810210629c596bd6)\n",
+       "        marker_1334130a88d662664dd4a826b8f0c4c0.bindPopup(popup_a39fc063d6cb9df5cd07664cde8709b2)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_9ed710bd7233974a94b0015e44643d2b = L.marker(\n",
+       "            var marker_257b1a3a00658ff1a609933eca2a9a9a = L.marker(\n",
        "                [47.59397, 14.12456],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c7d3bbfdc80690b8841373dabdb14f41 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d7e51af3ae09039d312cf700423f6532 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_9ed710bd7233974a94b0015e44643d2b.setIcon(icon_c7d3bbfdc80690b8841373dabdb14f41);\n",
+       "            marker_257b1a3a00658ff1a609933eca2a9a9a.setIcon(icon_d7e51af3ae09039d312cf700423f6532);\n",
        "        \n",
        "    \n",
-       "        var popup_3054ea21750020c02239e5a9733c8acf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_29d48273a69339b5084483648924b85c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_53f1dc2f77b34427a600da7a2581d506 = $(`&lt;div id=&quot;html_53f1dc2f77b34427a600da7a2581d506&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CyberDanube&lt;/b&gt; &lt;br&gt;https://cyberdanube.com/en/blogs/&lt;/div&gt;`)[0];\n",
-       "                popup_3054ea21750020c02239e5a9733c8acf.setContent(html_53f1dc2f77b34427a600da7a2581d506);\n",
+       "                var html_0253b0e533b78a6331d5c8e1b4b6f9b1 = $(`&lt;div id=&quot;html_0253b0e533b78a6331d5c8e1b4b6f9b1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CyberDanube&lt;/b&gt; &lt;br&gt;https://cyberdanube.com/en/blogs/&lt;/div&gt;`)[0];\n",
+       "                popup_29d48273a69339b5084483648924b85c.setContent(html_0253b0e533b78a6331d5c8e1b4b6f9b1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_9ed710bd7233974a94b0015e44643d2b.bindPopup(popup_3054ea21750020c02239e5a9733c8acf)\n",
+       "        marker_257b1a3a00658ff1a609933eca2a9a9a.bindPopup(popup_29d48273a69339b5084483648924b85c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f4990dfffda981e58f280a9a04d55646 = L.marker(\n",
+       "            var marker_951974f9c535881f48e2dd84d287f222 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_96f729d094699d832960175d26f81734 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7210d1f83f92de0a0ddad5e9c48224e6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f4990dfffda981e58f280a9a04d55646.setIcon(icon_96f729d094699d832960175d26f81734);\n",
+       "            marker_951974f9c535881f48e2dd84d287f222.setIcon(icon_7210d1f83f92de0a0ddad5e9c48224e6);\n",
        "        \n",
        "    \n",
-       "        var popup_7baa08e8fc5376dddb0c3a2d0f19f61d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1650fec31a7dd0bde4fec0c2fd5ede84 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7617209588249309344a7e2257bd2371 = $(`&lt;div id=&quot;html_7617209588249309344a7e2257bd2371&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;StrongDM&lt;/b&gt; &lt;br&gt;https://www.strongdm.com/security/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_7baa08e8fc5376dddb0c3a2d0f19f61d.setContent(html_7617209588249309344a7e2257bd2371);\n",
+       "                var html_b56b33080cfb8bc1f27a52ec0290ca5d = $(`&lt;div id=&quot;html_b56b33080cfb8bc1f27a52ec0290ca5d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;StrongDM&lt;/b&gt; &lt;br&gt;https://www.strongdm.com/security/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_1650fec31a7dd0bde4fec0c2fd5ede84.setContent(html_b56b33080cfb8bc1f27a52ec0290ca5d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f4990dfffda981e58f280a9a04d55646.bindPopup(popup_7baa08e8fc5376dddb0c3a2d0f19f61d)\n",
+       "        marker_951974f9c535881f48e2dd84d287f222.bindPopup(popup_1650fec31a7dd0bde4fec0c2fd5ede84)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a07aba119d48abadbb94f6009cf986bd = L.marker(\n",
+       "            var marker_b767848ae2e90a61e751e757a2bdc617 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_2ad600ec3c4cbd51af7e717b9c39ea83 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f6cd4e3d722a91a4899518452a349bca = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a07aba119d48abadbb94f6009cf986bd.setIcon(icon_2ad600ec3c4cbd51af7e717b9c39ea83);\n",
+       "            marker_b767848ae2e90a61e751e757a2bdc617.setIcon(icon_f6cd4e3d722a91a4899518452a349bca);\n",
        "        \n",
        "    \n",
-       "        var popup_82e479a1582e8c5e1ecf5cecb7664fc6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ad6faedbb2a9f2c309ace62296275333 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7aa15b53a3374c7e080899a67791225e = $(`&lt;div id=&quot;html_7aa15b53a3374c7e080899a67791225e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Schweitzer Engineering Laboratories, Inc.&lt;/b&gt; &lt;br&gt;https://selinc.com/support/security-notifications/external-reports/&lt;/div&gt;`)[0];\n",
-       "                popup_82e479a1582e8c5e1ecf5cecb7664fc6.setContent(html_7aa15b53a3374c7e080899a67791225e);\n",
+       "                var html_2c24341a95f2bdd0d364c4eb80f7d604 = $(`&lt;div id=&quot;html_2c24341a95f2bdd0d364c4eb80f7d604&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Schweitzer Engineering Laboratories, Inc.&lt;/b&gt; &lt;br&gt;https://selinc.com/support/security-notifications/external-reports/&lt;/div&gt;`)[0];\n",
+       "                popup_ad6faedbb2a9f2c309ace62296275333.setContent(html_2c24341a95f2bdd0d364c4eb80f7d604);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a07aba119d48abadbb94f6009cf986bd.bindPopup(popup_82e479a1582e8c5e1ecf5cecb7664fc6)\n",
+       "        marker_b767848ae2e90a61e751e757a2bdc617.bindPopup(popup_ad6faedbb2a9f2c309ace62296275333)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_b8fad073a7eac7bb62947bb3b71e1582 = L.marker(\n",
+       "            var marker_048385885584b7068f86e4ac9aa680e1 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b286ac8a98894530c471b620ed4b235a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7d4a5c9e084cef90cfbe6e564fdd0599 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_b8fad073a7eac7bb62947bb3b71e1582.setIcon(icon_b286ac8a98894530c471b620ed4b235a);\n",
+       "            marker_048385885584b7068f86e4ac9aa680e1.setIcon(icon_7d4a5c9e084cef90cfbe6e564fdd0599);\n",
        "        \n",
        "    \n",
-       "        var popup_d169d9342512cb4fc999c18986f9fb2c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5bbd065fd7cc50257cfe985bd2377f2b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ffd278a265c09b4d42b6e24f641a8855 = $(`&lt;div id=&quot;html_ffd278a265c09b4d42b6e24f641a8855&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VulnCheck&lt;/b&gt; &lt;br&gt;https://vulncheck.com/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_d169d9342512cb4fc999c18986f9fb2c.setContent(html_ffd278a265c09b4d42b6e24f641a8855);\n",
+       "                var html_40c2e640ae2aae83fb9f4bc90df0f262 = $(`&lt;div id=&quot;html_40c2e640ae2aae83fb9f4bc90df0f262&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VulnCheck&lt;/b&gt; &lt;br&gt;https://vulncheck.com/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_5bbd065fd7cc50257cfe985bd2377f2b.setContent(html_40c2e640ae2aae83fb9f4bc90df0f262);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_b8fad073a7eac7bb62947bb3b71e1582.bindPopup(popup_d169d9342512cb4fc999c18986f9fb2c)\n",
+       "        marker_048385885584b7068f86e4ac9aa680e1.bindPopup(popup_5bbd065fd7cc50257cfe985bd2377f2b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_796a98fe07dcc4140fd61cdfa403bf21 = L.marker(\n",
+       "            var marker_950be1b331aad4e8264c83a82a49b223 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_efb65df12a7a17c138f91a3e9a2ea42e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_534aa81108c2c7cd319731ed780c1625 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_796a98fe07dcc4140fd61cdfa403bf21.setIcon(icon_efb65df12a7a17c138f91a3e9a2ea42e);\n",
+       "            marker_950be1b331aad4e8264c83a82a49b223.setIcon(icon_534aa81108c2c7cd319731ed780c1625);\n",
        "        \n",
        "    \n",
-       "        var popup_68f8abefd96cc3d0c98e05b1c1189d9e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6ce51e4f83bf6127bf98a5d856eb73b4 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4c717e55fcf0755af94b0cc13db606c0 = $(`&lt;div id=&quot;html_4c717e55fcf0755af94b0cc13db606c0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Halborn&lt;/b&gt; &lt;br&gt;https://halborn.com/disclosures/&lt;/div&gt;`)[0];\n",
-       "                popup_68f8abefd96cc3d0c98e05b1c1189d9e.setContent(html_4c717e55fcf0755af94b0cc13db606c0);\n",
+       "                var html_d577faebeba1915f90f1d393e029e021 = $(`&lt;div id=&quot;html_d577faebeba1915f90f1d393e029e021&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Halborn&lt;/b&gt; &lt;br&gt;https://halborn.com/disclosures/&lt;/div&gt;`)[0];\n",
+       "                popup_6ce51e4f83bf6127bf98a5d856eb73b4.setContent(html_d577faebeba1915f90f1d393e029e021);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_796a98fe07dcc4140fd61cdfa403bf21.bindPopup(popup_68f8abefd96cc3d0c98e05b1c1189d9e)\n",
+       "        marker_950be1b331aad4e8264c83a82a49b223.bindPopup(popup_6ce51e4f83bf6127bf98a5d856eb73b4)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a2c3bcfdc2a0c2dee0eb23ff1399b7b4 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_46c639cd420159816bf303a1f25de565 = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8e024cdef9cf1c516158b1e5c56a43b4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9bed605a927865d62765c672b9ef7d28 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a2c3bcfdc2a0c2dee0eb23ff1399b7b4.setIcon(icon_8e024cdef9cf1c516158b1e5c56a43b4);\n",
+       "            marker_46c639cd420159816bf303a1f25de565.setIcon(icon_9bed605a927865d62765c672b9ef7d28);\n",
        "        \n",
        "    \n",
-       "        var popup_85e28e3b6018e1ccf462a6727b628af0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_962f1021c793d8b6c29806dfa3ee2bb7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_feed6bb02cfde181ae7e24728a47e25a = $(`&lt;div id=&quot;html_feed6bb02cfde181ae7e24728a47e25a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ribose Limited&lt;/b&gt; &lt;br&gt;https://open.ribose.com/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_85e28e3b6018e1ccf462a6727b628af0.setContent(html_feed6bb02cfde181ae7e24728a47e25a);\n",
+       "                var html_85d74859a79d106113ecf78c5c9ae721 = $(`&lt;div id=&quot;html_85d74859a79d106113ecf78c5c9ae721&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ribose Limited&lt;/b&gt; &lt;br&gt;https://open.ribose.com/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_962f1021c793d8b6c29806dfa3ee2bb7.setContent(html_85d74859a79d106113ecf78c5c9ae721);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a2c3bcfdc2a0c2dee0eb23ff1399b7b4.bindPopup(popup_85e28e3b6018e1ccf462a6727b628af0)\n",
+       "        marker_46c639cd420159816bf303a1f25de565.bindPopup(popup_962f1021c793d8b6c29806dfa3ee2bb7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_bf23938aaed17447708aa289d1ae300f = L.marker(\n",
+       "            var marker_4cfdc2aba93fce86e9ae8d89ec647799 = L.marker(\n",
        "                [22.3511148, 78.6677428],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4f76c09b574ccbc1fab8b5068572df57 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3ec76ffb4f2f3986c122eb3c4ae3c92a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_bf23938aaed17447708aa289d1ae300f.setIcon(icon_4f76c09b574ccbc1fab8b5068572df57);\n",
+       "            marker_4cfdc2aba93fce86e9ae8d89ec647799.setIcon(icon_3ec76ffb4f2f3986c122eb3c4ae3c92a);\n",
        "        \n",
        "    \n",
-       "        var popup_5be6e0ad2d616288cc7f359a0243aba7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_061a95b663123bc0d1ab0e183462e158 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_1878c87a3c6b1a1c4c5027eda65e5ac6 = $(`&lt;div id=&quot;html_1878c87a3c6b1a1c4c5027eda65e5ac6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;42Gears Mobility Systems Pvt Ltd&lt;/b&gt; &lt;br&gt;https://www.42gears.com/security-and-compliance/&lt;/div&gt;`)[0];\n",
-       "                popup_5be6e0ad2d616288cc7f359a0243aba7.setContent(html_1878c87a3c6b1a1c4c5027eda65e5ac6);\n",
+       "                var html_c506500dbd21c51f16627127562239a9 = $(`&lt;div id=&quot;html_c506500dbd21c51f16627127562239a9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;42Gears Mobility Systems Pvt Ltd&lt;/b&gt; &lt;br&gt;https://www.42gears.com/security-and-compliance/&lt;/div&gt;`)[0];\n",
+       "                popup_061a95b663123bc0d1ab0e183462e158.setContent(html_c506500dbd21c51f16627127562239a9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_bf23938aaed17447708aa289d1ae300f.bindPopup(popup_5be6e0ad2d616288cc7f359a0243aba7)\n",
+       "        marker_4cfdc2aba93fce86e9ae8d89ec647799.bindPopup(popup_061a95b663123bc0d1ab0e183462e158)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8bb9e2217dbdcdcd115f24fdb0c91221 = L.marker(\n",
+       "            var marker_deb509bedc0318139401a5454c277cef = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_84b1156af3b8a7ca248c48bd5e43049a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_edc4dad06bb3b568bd90adbe17caabc4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8bb9e2217dbdcdcd115f24fdb0c91221.setIcon(icon_84b1156af3b8a7ca248c48bd5e43049a);\n",
+       "            marker_deb509bedc0318139401a5454c277cef.setIcon(icon_edc4dad06bb3b568bd90adbe17caabc4);\n",
        "        \n",
        "    \n",
-       "        var popup_6468fd6fa5e7db76789bcc6b2fc2d1cb = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7b0e6c22e471fe4e9bc8f69ca7d61470 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0a4499c10f1f113f284a0e6fd6861dc3 = $(`&lt;div id=&quot;html_0a4499c10f1f113f284a0e6fd6861dc3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Solidigm&lt;/b&gt; &lt;br&gt;https://www.solidigm.com/support-page/support-security.html&lt;/div&gt;`)[0];\n",
-       "                popup_6468fd6fa5e7db76789bcc6b2fc2d1cb.setContent(html_0a4499c10f1f113f284a0e6fd6861dc3);\n",
+       "                var html_afcd38d6f31b7a6e6d4f9fae64c15e29 = $(`&lt;div id=&quot;html_afcd38d6f31b7a6e6d4f9fae64c15e29&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Solidigm&lt;/b&gt; &lt;br&gt;https://www.solidigm.com/support-page/support-security.html&lt;/div&gt;`)[0];\n",
+       "                popup_7b0e6c22e471fe4e9bc8f69ca7d61470.setContent(html_afcd38d6f31b7a6e6d4f9fae64c15e29);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8bb9e2217dbdcdcd115f24fdb0c91221.bindPopup(popup_6468fd6fa5e7db76789bcc6b2fc2d1cb)\n",
+       "        marker_deb509bedc0318139401a5454c277cef.bindPopup(popup_7b0e6c22e471fe4e9bc8f69ca7d61470)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d59d06968e69c8f8b34f7c6d32a1e9c5 = L.marker(\n",
+       "            var marker_63acf776cca63415f26132e7be939bc7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1a33feeb11373820a3c0096b22360786 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2f2c2341c4bfee86e8e97a9337f99c97 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d59d06968e69c8f8b34f7c6d32a1e9c5.setIcon(icon_1a33feeb11373820a3c0096b22360786);\n",
+       "            marker_63acf776cca63415f26132e7be939bc7.setIcon(icon_2f2c2341c4bfee86e8e97a9337f99c97);\n",
        "        \n",
        "    \n",
-       "        var popup_3379e6a1c590df231381a18a3dd35437 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0123877057df2f715a2429775b04a997 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_81a26a67bab43b564bb673c98d5aa8b8 = $(`&lt;div id=&quot;html_81a26a67bab43b564bb673c98d5aa8b8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Illumio&lt;/b&gt; &lt;br&gt;https://docs.illumio.com/LandingPages/Categories/security-advisories.htm&lt;/div&gt;`)[0];\n",
-       "                popup_3379e6a1c590df231381a18a3dd35437.setContent(html_81a26a67bab43b564bb673c98d5aa8b8);\n",
+       "                var html_0ae6981a24bfb7ad87d70458c40a63fd = $(`&lt;div id=&quot;html_0ae6981a24bfb7ad87d70458c40a63fd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Illumio&lt;/b&gt; &lt;br&gt;https://docs.illumio.com/LandingPages/Categories/security-advisories.htm&lt;/div&gt;`)[0];\n",
+       "                popup_0123877057df2f715a2429775b04a997.setContent(html_0ae6981a24bfb7ad87d70458c40a63fd);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d59d06968e69c8f8b34f7c6d32a1e9c5.bindPopup(popup_3379e6a1c590df231381a18a3dd35437)\n",
+       "        marker_63acf776cca63415f26132e7be939bc7.bindPopup(popup_0123877057df2f715a2429775b04a997)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_fa549871d579c9928867dad446ed5607 = L.marker(\n",
+       "            var marker_51ca8ab2a43e78a22fa308508146fc6c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b7e04aeae45e116c1816c33948fc6a5b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a9d1ece0251c8d83d57fb61cceeba768 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_fa549871d579c9928867dad446ed5607.setIcon(icon_b7e04aeae45e116c1816c33948fc6a5b);\n",
+       "            marker_51ca8ab2a43e78a22fa308508146fc6c.setIcon(icon_a9d1ece0251c8d83d57fb61cceeba768);\n",
        "        \n",
        "    \n",
-       "        var popup_ad93c440ddf63e9ce45019fc009df78e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_df717483ed8a19e686d0d1b64bca859a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_090d7456e26117b992ff6cfb5cdc8a5b = $(`&lt;div id=&quot;html_090d7456e26117b992ff6cfb5cdc8a5b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Black Lantern Security&lt;/b&gt; &lt;br&gt;https://www.blacklanternsecurity.com/cves.html&lt;/div&gt;`)[0];\n",
-       "                popup_ad93c440ddf63e9ce45019fc009df78e.setContent(html_090d7456e26117b992ff6cfb5cdc8a5b);\n",
+       "                var html_fdfe6c3aafcf6ec8e415c2928fc43892 = $(`&lt;div id=&quot;html_fdfe6c3aafcf6ec8e415c2928fc43892&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Black Lantern Security&lt;/b&gt; &lt;br&gt;https://www.blacklanternsecurity.com/cves.html&lt;/div&gt;`)[0];\n",
+       "                popup_df717483ed8a19e686d0d1b64bca859a.setContent(html_fdfe6c3aafcf6ec8e415c2928fc43892);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_fa549871d579c9928867dad446ed5607.bindPopup(popup_ad93c440ddf63e9ce45019fc009df78e)\n",
+       "        marker_51ca8ab2a43e78a22fa308508146fc6c.bindPopup(popup_df717483ed8a19e686d0d1b64bca859a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8fbc9380e455f85646fbe1116b6f3386 = L.marker(\n",
+       "            var marker_100c8fbe931fffc42ffd122e4bd79cae = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_28f4bcdfaf96f92869e958043f162d3f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e0f7e0b2312183a3fbdabce41d787376 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8fbc9380e455f85646fbe1116b6f3386.setIcon(icon_28f4bcdfaf96f92869e958043f162d3f);\n",
+       "            marker_100c8fbe931fffc42ffd122e4bd79cae.setIcon(icon_e0f7e0b2312183a3fbdabce41d787376);\n",
        "        \n",
        "    \n",
-       "        var popup_0197db48cb23ceec1b63496d7c8ec3cf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a848e401cf2cda978e32c4bf025d0e88 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_35ad2990c7798e2d2f4c457c0bb991f5 = $(`&lt;div id=&quot;html_35ad2990c7798e2d2f4c457c0bb991f5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;IoT83 Ltd&lt;/b&gt; &lt;br&gt;https://www.iot83.com/security/&lt;/div&gt;`)[0];\n",
-       "                popup_0197db48cb23ceec1b63496d7c8ec3cf.setContent(html_35ad2990c7798e2d2f4c457c0bb991f5);\n",
+       "                var html_40b0356d01fde644da768bd2d40ebddd = $(`&lt;div id=&quot;html_40b0356d01fde644da768bd2d40ebddd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;IoT83 Ltd&lt;/b&gt; &lt;br&gt;https://www.iot83.com/security/&lt;/div&gt;`)[0];\n",
+       "                popup_a848e401cf2cda978e32c4bf025d0e88.setContent(html_40b0356d01fde644da768bd2d40ebddd);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8fbc9380e455f85646fbe1116b6f3386.bindPopup(popup_0197db48cb23ceec1b63496d7c8ec3cf)\n",
+       "        marker_100c8fbe931fffc42ffd122e4bd79cae.bindPopup(popup_a848e401cf2cda978e32c4bf025d0e88)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_5dd9ca3cb1927525c252c5b3cd8d16b0 = L.marker(\n",
+       "            var marker_8460dd85a193da53767c275b675ec4b5 = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_4c98da9fe05eb95e13759413d79be1d3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f22bdb4e917083ecba1c2a377eee6338 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_5dd9ca3cb1927525c252c5b3cd8d16b0.setIcon(icon_4c98da9fe05eb95e13759413d79be1d3);\n",
+       "            marker_8460dd85a193da53767c275b675ec4b5.setIcon(icon_f22bdb4e917083ecba1c2a377eee6338);\n",
        "        \n",
        "    \n",
-       "        var popup_aabf8e786b09dc8c2454729c5ad89d9c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_29ecb7d79bd8e2036936635bc46f33ee = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b0204f0e1a9f4815d4fcd7ca9370e1a4 = $(`&lt;div id=&quot;html_b0204f0e1a9f4815d4fcd7ca9370e1a4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Moxa Inc.&lt;/b&gt; &lt;br&gt;https://www.moxa.com/en/support/product-support/security-advisory&lt;/div&gt;`)[0];\n",
-       "                popup_aabf8e786b09dc8c2454729c5ad89d9c.setContent(html_b0204f0e1a9f4815d4fcd7ca9370e1a4);\n",
+       "                var html_8a9f2cb20d4f8afce3f6ab1cb1e4cb25 = $(`&lt;div id=&quot;html_8a9f2cb20d4f8afce3f6ab1cb1e4cb25&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Moxa Inc.&lt;/b&gt; &lt;br&gt;https://www.moxa.com/en/support/product-support/security-advisory&lt;/div&gt;`)[0];\n",
+       "                popup_29ecb7d79bd8e2036936635bc46f33ee.setContent(html_8a9f2cb20d4f8afce3f6ab1cb1e4cb25);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_5dd9ca3cb1927525c252c5b3cd8d16b0.bindPopup(popup_aabf8e786b09dc8c2454729c5ad89d9c)\n",
+       "        marker_8460dd85a193da53767c275b675ec4b5.bindPopup(popup_29ecb7d79bd8e2036936635bc46f33ee)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4fe9c876fe90a0153550604209c7e69b = L.marker(\n",
+       "            var marker_955accad7c76db72386e101755793999 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_73bf26b71562369eb11fb9e4ad597be0 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_391c8d87808657a7e5965d2d9549f219 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4fe9c876fe90a0153550604209c7e69b.setIcon(icon_73bf26b71562369eb11fb9e4ad597be0);\n",
+       "            marker_955accad7c76db72386e101755793999.setIcon(icon_391c8d87808657a7e5965d2d9549f219);\n",
        "        \n",
        "    \n",
-       "        var popup_e0bf0325f4ee86279e0f48e49a7bc94e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ecfa7cf7ef85a1bc2417e25e55a36384 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_32c9a816c39f50fd0dc1fbeb9da43d3a = $(`&lt;div id=&quot;html_32c9a816c39f50fd0dc1fbeb9da43d3a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Temporal Technologies Inc.&lt;/b&gt; &lt;br&gt;https://docs.temporal.io/temporal-technologies-inc-security&lt;/div&gt;`)[0];\n",
-       "                popup_e0bf0325f4ee86279e0f48e49a7bc94e.setContent(html_32c9a816c39f50fd0dc1fbeb9da43d3a);\n",
+       "                var html_e81a4d8edf6b3a7a396a43ef4e6a5690 = $(`&lt;div id=&quot;html_e81a4d8edf6b3a7a396a43ef4e6a5690&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Temporal Technologies Inc.&lt;/b&gt; &lt;br&gt;https://docs.temporal.io/temporal-technologies-inc-security&lt;/div&gt;`)[0];\n",
+       "                popup_ecfa7cf7ef85a1bc2417e25e55a36384.setContent(html_e81a4d8edf6b3a7a396a43ef4e6a5690);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4fe9c876fe90a0153550604209c7e69b.bindPopup(popup_e0bf0325f4ee86279e0f48e49a7bc94e)\n",
+       "        marker_955accad7c76db72386e101755793999.bindPopup(popup_ecfa7cf7ef85a1bc2417e25e55a36384)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6b5d0fa0f5608edfe84d5461796c4342 = L.marker(\n",
+       "            var marker_907d7cc30df9d2798b10d749433cc294 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8510335997d9fa36b16025f6dcffd87f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9e71d6e2777408782a3e3bccde09a3e3 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6b5d0fa0f5608edfe84d5461796c4342.setIcon(icon_8510335997d9fa36b16025f6dcffd87f);\n",
+       "            marker_907d7cc30df9d2798b10d749433cc294.setIcon(icon_9e71d6e2777408782a3e3bccde09a3e3);\n",
        "        \n",
        "    \n",
-       "        var popup_e37bc099931c05852e644a8d85ba4c6d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d94eac7e0a60f744fe5cc052f01ddaa8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_48a25fdbb604a297d899808c6e923d13 = $(`&lt;div id=&quot;html_48a25fdbb604a297d899808c6e923d13&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;AMI&lt;/b&gt; &lt;br&gt;https://www.ami.com/security-center/&lt;/div&gt;`)[0];\n",
-       "                popup_e37bc099931c05852e644a8d85ba4c6d.setContent(html_48a25fdbb604a297d899808c6e923d13);\n",
+       "                var html_5283120d4790d6ee7df1cc0d9881fec9 = $(`&lt;div id=&quot;html_5283120d4790d6ee7df1cc0d9881fec9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;AMI&lt;/b&gt; &lt;br&gt;https://www.ami.com/security-center/&lt;/div&gt;`)[0];\n",
+       "                popup_d94eac7e0a60f744fe5cc052f01ddaa8.setContent(html_5283120d4790d6ee7df1cc0d9881fec9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6b5d0fa0f5608edfe84d5461796c4342.bindPopup(popup_e37bc099931c05852e644a8d85ba4c6d)\n",
+       "        marker_907d7cc30df9d2798b10d749433cc294.bindPopup(popup_d94eac7e0a60f744fe5cc052f01ddaa8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_947a8b3a9db8a4eb294cce51b2c78b99 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_ead35c3047edf0156c701b72f7c36462 = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e68881de0dd4726f9419c60970b32f18 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ace0757c9997f5d96e4f09cb754d466b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_947a8b3a9db8a4eb294cce51b2c78b99.setIcon(icon_e68881de0dd4726f9419c60970b32f18);\n",
+       "            marker_ead35c3047edf0156c701b72f7c36462.setIcon(icon_ace0757c9997f5d96e4f09cb754d466b);\n",
        "        \n",
        "    \n",
-       "        var popup_26cdec94fbbef75190bcd245407cb3de = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_eb4e6baeec76f394e61bcd77c049466e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3434507529e65ee9cf3867523a3dae0e = $(`&lt;div id=&quot;html_3434507529e65ee9cf3867523a3dae0e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Payara&lt;/b&gt; &lt;br&gt;https://docs.payara.fish/community/docs/Security/Security%20Fix%20List.html&lt;/div&gt;`)[0];\n",
-       "                popup_26cdec94fbbef75190bcd245407cb3de.setContent(html_3434507529e65ee9cf3867523a3dae0e);\n",
+       "                var html_6c5bb55dcddfb98ff72e0f5051fe1c7e = $(`&lt;div id=&quot;html_6c5bb55dcddfb98ff72e0f5051fe1c7e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Payara&lt;/b&gt; &lt;br&gt;https://docs.payara.fish/community/docs/Security/Security%20Fix%20List.html&lt;/div&gt;`)[0];\n",
+       "                popup_eb4e6baeec76f394e61bcd77c049466e.setContent(html_6c5bb55dcddfb98ff72e0f5051fe1c7e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_947a8b3a9db8a4eb294cce51b2c78b99.bindPopup(popup_26cdec94fbbef75190bcd245407cb3de)\n",
+       "        marker_ead35c3047edf0156c701b72f7c36462.bindPopup(popup_eb4e6baeec76f394e61bcd77c049466e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2f116d033c05d74119c4256acc62028e = L.marker(\n",
+       "            var marker_1719c592eaf23d692cfca41928a8b03e = L.marker(\n",
        "                [63.2467777, 25.9209164],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5f06b4e480df11166d28366b6dccb0e1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c55cd12e1be0c74572ac6f8557ca4d37 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2f116d033c05d74119c4256acc62028e.setIcon(icon_5f06b4e480df11166d28366b6dccb0e1);\n",
+       "            marker_1719c592eaf23d692cfca41928a8b03e.setIcon(icon_c55cd12e1be0c74572ac6f8557ca4d37);\n",
        "        \n",
        "    \n",
-       "        var popup_31a81000e5461693ddc67eb31bf601ba = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8f5544ad5d0d05b9595d00e552cf866e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c182504595d44171c8dc70178c757422 = $(`&lt;div id=&quot;html_c182504595d44171c8dc70178c757422&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;National Cyber Security Centre Finland (NCSC-FI)&lt;/b&gt; &lt;br&gt;https://www.kyberturvallisuuskeskus.fi/fi/haavoittuvuudet&lt;/div&gt;`)[0];\n",
-       "                popup_31a81000e5461693ddc67eb31bf601ba.setContent(html_c182504595d44171c8dc70178c757422);\n",
+       "                var html_1190a3906b9e51ce9e867e7d20912271 = $(`&lt;div id=&quot;html_1190a3906b9e51ce9e867e7d20912271&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;National Cyber Security Centre Finland (NCSC-FI)&lt;/b&gt; &lt;br&gt;https://www.kyberturvallisuuskeskus.fi/fi/haavoittuvuudet&lt;/div&gt;`)[0];\n",
+       "                popup_8f5544ad5d0d05b9595d00e552cf866e.setContent(html_1190a3906b9e51ce9e867e7d20912271);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2f116d033c05d74119c4256acc62028e.bindPopup(popup_31a81000e5461693ddc67eb31bf601ba)\n",
+       "        marker_1719c592eaf23d692cfca41928a8b03e.bindPopup(popup_8f5544ad5d0d05b9595d00e552cf866e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_34c9fb145b90a1fdf110e2026254a0a1 = L.marker(\n",
+       "            var marker_998c96c637d8aca59902bd2e95464f0d = L.marker(\n",
        "                [36.638392, 127.6961188],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_dfe55abf65854f1d212b994d9cddb9c5 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c5a5568204dc532d124a9618823a1862 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_34c9fb145b90a1fdf110e2026254a0a1.setIcon(icon_dfe55abf65854f1d212b994d9cddb9c5);\n",
+       "            marker_998c96c637d8aca59902bd2e95464f0d.setIcon(icon_c5a5568204dc532d124a9618823a1862);\n",
        "        \n",
        "    \n",
-       "        var popup_7cbc13488257f883ea38c3dfe9d4c6ac = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_beacfbc3b582f6879d94463daaf127e3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b275f69cd03cdccc5df1879173fce3c2 = $(`&lt;div id=&quot;html_b275f69cd03cdccc5df1879173fce3c2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Samsung TV &amp; Appliance&lt;/b&gt; &lt;br&gt;https://Security.SamsungTV.com/securityUpdates&lt;/div&gt;`)[0];\n",
-       "                popup_7cbc13488257f883ea38c3dfe9d4c6ac.setContent(html_b275f69cd03cdccc5df1879173fce3c2);\n",
+       "                var html_d3b95d0e186c3f606eacc8e9a873cad5 = $(`&lt;div id=&quot;html_d3b95d0e186c3f606eacc8e9a873cad5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Samsung TV &amp; Appliance&lt;/b&gt; &lt;br&gt;https://Security.SamsungTV.com/securityUpdates&lt;/div&gt;`)[0];\n",
+       "                popup_beacfbc3b582f6879d94463daaf127e3.setContent(html_d3b95d0e186c3f606eacc8e9a873cad5);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_34c9fb145b90a1fdf110e2026254a0a1.bindPopup(popup_7cbc13488257f883ea38c3dfe9d4c6ac)\n",
+       "        marker_998c96c637d8aca59902bd2e95464f0d.bindPopup(popup_beacfbc3b582f6879d94463daaf127e3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_119106ea9822dc61ce99a6f220094f98 = L.marker(\n",
+       "            var marker_fca9e6923acb00f41dfcbd66c3e46923 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_54eac2850c125f07b7536cffd736156e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c56e30e3fd07c9708d15329a060efd2a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_119106ea9822dc61ce99a6f220094f98.setIcon(icon_54eac2850c125f07b7536cffd736156e);\n",
+       "            marker_fca9e6923acb00f41dfcbd66c3e46923.setIcon(icon_c56e30e3fd07c9708d15329a060efd2a);\n",
        "        \n",
        "    \n",
-       "        var popup_78e5804009884b626c945502c600432f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7b309b0ce58a7f387ef9edf460ebe365 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f5c31b54ac6d165246318b85ec5585b0 = $(`&lt;div id=&quot;html_f5c31b54ac6d165246318b85ec5585b0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Security Risk Advisors (SRA)&lt;/b&gt; &lt;br&gt;https://sra.io/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_78e5804009884b626c945502c600432f.setContent(html_f5c31b54ac6d165246318b85ec5585b0);\n",
+       "                var html_339077146d4008e0f1088b6ee4a76ca3 = $(`&lt;div id=&quot;html_339077146d4008e0f1088b6ee4a76ca3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Security Risk Advisors (SRA)&lt;/b&gt; &lt;br&gt;https://sra.io/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_7b309b0ce58a7f387ef9edf460ebe365.setContent(html_339077146d4008e0f1088b6ee4a76ca3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_119106ea9822dc61ce99a6f220094f98.bindPopup(popup_78e5804009884b626c945502c600432f)\n",
+       "        marker_fca9e6923acb00f41dfcbd66c3e46923.bindPopup(popup_7b309b0ce58a7f387ef9edf460ebe365)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a47612c223661e6454684aac9bb2d906 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_b273c108da95d4f793934eda79a78ee3 = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_00d97462992ba5925a2bb95da267dfc1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2131e6a101bf4f96ab470a47effa0467 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a47612c223661e6454684aac9bb2d906.setIcon(icon_00d97462992ba5925a2bb95da267dfc1);\n",
+       "            marker_b273c108da95d4f793934eda79a78ee3.setIcon(icon_2131e6a101bf4f96ab470a47effa0467);\n",
        "        \n",
        "    \n",
-       "        var popup_ccff136927c79c8e769452c80b4fa7f6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_038f6058bb0a7dc56a54e2ec20e86c2d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_802b1495eb3c7551e25183fe4ed9791d = $(`&lt;div id=&quot;html_802b1495eb3c7551e25183fe4ed9791d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Arm Limited&lt;/b&gt; &lt;br&gt;https://developer.arm.com/Arm%20Security%20Center&lt;/div&gt;`)[0];\n",
-       "                popup_ccff136927c79c8e769452c80b4fa7f6.setContent(html_802b1495eb3c7551e25183fe4ed9791d);\n",
+       "                var html_6c1867fa5e4b6914d90d558a4cac8b06 = $(`&lt;div id=&quot;html_6c1867fa5e4b6914d90d558a4cac8b06&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Arm Limited&lt;/b&gt; &lt;br&gt;https://developer.arm.com/Arm%20Security%20Center&lt;/div&gt;`)[0];\n",
+       "                popup_038f6058bb0a7dc56a54e2ec20e86c2d.setContent(html_6c1867fa5e4b6914d90d558a4cac8b06);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a47612c223661e6454684aac9bb2d906.bindPopup(popup_ccff136927c79c8e769452c80b4fa7f6)\n",
+       "        marker_b273c108da95d4f793934eda79a78ee3.bindPopup(popup_038f6058bb0a7dc56a54e2ec20e86c2d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8bea101ebf1315d71e2c19f909564f72 = L.marker(\n",
+       "            var marker_f84b2fec6ff4b74cbd4f58c590b06435 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_afc227f1b111d3eed7f1edc667e7a2dd = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_791de5fc95d8ea4acdd0fbaab4bfeccc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8bea101ebf1315d71e2c19f909564f72.setIcon(icon_afc227f1b111d3eed7f1edc667e7a2dd);\n",
+       "            marker_f84b2fec6ff4b74cbd4f58c590b06435.setIcon(icon_791de5fc95d8ea4acdd0fbaab4bfeccc);\n",
        "        \n",
        "    \n",
-       "        var popup_c293f97c6b0879b64f8aa709b8fc950e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ff73096d5cf717b40208cb6d44d49bf7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0b3610e7b86b99d2055b41059e563cdc = $(`&lt;div id=&quot;html_0b3610e7b86b99d2055b41059e563cdc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Open Design Alliance&lt;/b&gt; &lt;br&gt;https://www.opendesign.com/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_c293f97c6b0879b64f8aa709b8fc950e.setContent(html_0b3610e7b86b99d2055b41059e563cdc);\n",
+       "                var html_1ab5a62b26985055c9418996dbc10be3 = $(`&lt;div id=&quot;html_1ab5a62b26985055c9418996dbc10be3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Open Design Alliance&lt;/b&gt; &lt;br&gt;https://www.opendesign.com/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_ff73096d5cf717b40208cb6d44d49bf7.setContent(html_1ab5a62b26985055c9418996dbc10be3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8bea101ebf1315d71e2c19f909564f72.bindPopup(popup_c293f97c6b0879b64f8aa709b8fc950e)\n",
+       "        marker_f84b2fec6ff4b74cbd4f58c590b06435.bindPopup(popup_ff73096d5cf717b40208cb6d44d49bf7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4a5571cb5fc4f8e69917daaa14ca7e58 = L.marker(\n",
+       "            var marker_1369c88a23a7799288286f8e5042717f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5d8d853af7b26ee4bf49e6902cfb9548 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6adecafbbcbd77f414a62a01c31945f8 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4a5571cb5fc4f8e69917daaa14ca7e58.setIcon(icon_5d8d853af7b26ee4bf49e6902cfb9548);\n",
+       "            marker_1369c88a23a7799288286f8e5042717f.setIcon(icon_6adecafbbcbd77f414a62a01c31945f8);\n",
        "        \n",
        "    \n",
-       "        var popup_635a500c0f22ec045cc23cf6f728ccf9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9d4b66124b3435e1a3481ef191d88168 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e39ac8cfe744fd751dd440387936942b = $(`&lt;div id=&quot;html_e39ac8cfe744fd751dd440387936942b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Biohacking Village&lt;/b&gt; &lt;br&gt;https://www.villageb.io/security-advisory&lt;/div&gt;`)[0];\n",
-       "                popup_635a500c0f22ec045cc23cf6f728ccf9.setContent(html_e39ac8cfe744fd751dd440387936942b);\n",
+       "                var html_3779aef1a4065719bd9ae1417130a0f9 = $(`&lt;div id=&quot;html_3779aef1a4065719bd9ae1417130a0f9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Biohacking Village&lt;/b&gt; &lt;br&gt;https://www.villageb.io/security-advisory&lt;/div&gt;`)[0];\n",
+       "                popup_9d4b66124b3435e1a3481ef191d88168.setContent(html_3779aef1a4065719bd9ae1417130a0f9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4a5571cb5fc4f8e69917daaa14ca7e58.bindPopup(popup_635a500c0f22ec045cc23cf6f728ccf9)\n",
+       "        marker_1369c88a23a7799288286f8e5042717f.bindPopup(popup_9d4b66124b3435e1a3481ef191d88168)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a5056af558483a65706833bdf14ca238 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_b7e4ffd2a938e99d0d3f8dd35e6a1090 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3bc26854661954ef55c46793e2cb8405 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9f1650a81693cc0387478ccf09529e22 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a5056af558483a65706833bdf14ca238.setIcon(icon_3bc26854661954ef55c46793e2cb8405);\n",
+       "            marker_b7e4ffd2a938e99d0d3f8dd35e6a1090.setIcon(icon_9f1650a81693cc0387478ccf09529e22);\n",
        "        \n",
        "    \n",
-       "        var popup_5cd64917f31ee2377be131476aa700db = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d06f0ba30002533998ea5a433d153cc5 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c025133ca29932fcbda67325c877038e = $(`&lt;div id=&quot;html_c025133ca29932fcbda67325c877038e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Gitea Limited&lt;/b&gt; &lt;br&gt;https://about.gitea.com/security/&lt;/div&gt;`)[0];\n",
-       "                popup_5cd64917f31ee2377be131476aa700db.setContent(html_c025133ca29932fcbda67325c877038e);\n",
+       "                var html_45845acf1cf6bd32f417d691b5acf953 = $(`&lt;div id=&quot;html_45845acf1cf6bd32f417d691b5acf953&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Gitea Limited&lt;/b&gt; &lt;br&gt;https://about.gitea.com/security/&lt;/div&gt;`)[0];\n",
+       "                popup_d06f0ba30002533998ea5a433d153cc5.setContent(html_45845acf1cf6bd32f417d691b5acf953);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a5056af558483a65706833bdf14ca238.bindPopup(popup_5cd64917f31ee2377be131476aa700db)\n",
+       "        marker_b7e4ffd2a938e99d0d3f8dd35e6a1090.bindPopup(popup_d06f0ba30002533998ea5a433d153cc5)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_df8cc2c031d83118fe4772a150e7a7a2 = L.marker(\n",
+       "            var marker_79059f7b01ee958ae9f341f961aa4f78 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b1ee5b47087164088324129ff4bfae40 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_de8ef36d7b24b8c5c4939157accc2222 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_df8cc2c031d83118fe4772a150e7a7a2.setIcon(icon_b1ee5b47087164088324129ff4bfae40);\n",
+       "            marker_79059f7b01ee958ae9f341f961aa4f78.setIcon(icon_de8ef36d7b24b8c5c4939157accc2222);\n",
        "        \n",
        "    \n",
-       "        var popup_4c57fb092e57b0ee60f70a27717df89d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_29934847ff356f0634f393f250f3f365 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_49b11818800f5d99cb81426b4dbac1ff = $(`&lt;div id=&quot;html_49b11818800f5d99cb81426b4dbac1ff&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Google Devices&lt;/b&gt; &lt;br&gt;https://support.google.com/product-documentation/topic/12974021?hl=en&amp;amp&lt;/div&gt;`)[0];\n",
-       "                popup_4c57fb092e57b0ee60f70a27717df89d.setContent(html_49b11818800f5d99cb81426b4dbac1ff);\n",
+       "                var html_77baeb5c7e5fdbd60df0bbac624a3b84 = $(`&lt;div id=&quot;html_77baeb5c7e5fdbd60df0bbac624a3b84&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Google Devices&lt;/b&gt; &lt;br&gt;https://support.google.com/product-documentation/topic/12974021?hl=en&amp;amp&lt;/div&gt;`)[0];\n",
+       "                popup_29934847ff356f0634f393f250f3f365.setContent(html_77baeb5c7e5fdbd60df0bbac624a3b84);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_df8cc2c031d83118fe4772a150e7a7a2.bindPopup(popup_4c57fb092e57b0ee60f70a27717df89d)\n",
+       "        marker_79059f7b01ee958ae9f341f961aa4f78.bindPopup(popup_29934847ff356f0634f393f250f3f365)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0952e2326aebd135eed1a0c335efb874 = L.marker(\n",
+       "            var marker_dcceb36c74b0cd4207d937252c208ac5 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_60a30414a312da8cd947a38bae1aa980 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c99c0d38cf00a009fe8382455bef869e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0952e2326aebd135eed1a0c335efb874.setIcon(icon_60a30414a312da8cd947a38bae1aa980);\n",
+       "            marker_dcceb36c74b0cd4207d937252c208ac5.setIcon(icon_c99c0d38cf00a009fe8382455bef869e);\n",
        "        \n",
        "    \n",
-       "        var popup_d2e5cfba416a593d59e4f61b370de4a9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_207ff53ffc0a4c9efc14db1c414d4407 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7517670e6a985cc8337839e9e03104cc = $(`&lt;div id=&quot;html_7517670e6a985cc8337839e9e03104cc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;MIM Software Inc.&lt;/b&gt; &lt;br&gt;https://www.mimsoftware.com/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_d2e5cfba416a593d59e4f61b370de4a9.setContent(html_7517670e6a985cc8337839e9e03104cc);\n",
+       "                var html_21cb8a351157bf328225a931b0d8a901 = $(`&lt;div id=&quot;html_21cb8a351157bf328225a931b0d8a901&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;MIM Software Inc.&lt;/b&gt; &lt;br&gt;https://www.mimsoftware.com/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_207ff53ffc0a4c9efc14db1c414d4407.setContent(html_21cb8a351157bf328225a931b0d8a901);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0952e2326aebd135eed1a0c335efb874.bindPopup(popup_d2e5cfba416a593d59e4f61b370de4a9)\n",
+       "        marker_dcceb36c74b0cd4207d937252c208ac5.bindPopup(popup_207ff53ffc0a4c9efc14db1c414d4407)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7990546ef673b9914efe087f08030c97 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_b686d8bac5821bd5de68d8df72d35637 = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3cb8ef699bf17d539bace55a89ba0ac7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_068e7405baef7ca1966373a3a6944383 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7990546ef673b9914efe087f08030c97.setIcon(icon_3cb8ef699bf17d539bace55a89ba0ac7);\n",
+       "            marker_b686d8bac5821bd5de68d8df72d35637.setIcon(icon_068e7405baef7ca1966373a3a6944383);\n",
        "        \n",
        "    \n",
-       "        var popup_a0a753d97014abaa12cfb66cb597c762 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_22de124ac04fbd995a704af823557d3a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_47d5aa7bbcd77e63373b74896beb0fcf = $(`&lt;div id=&quot;html_47d5aa7bbcd77e63373b74896beb0fcf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ID Business Solutions&lt;/b&gt; &lt;br&gt;https://help.idbs.com/advisories/en/index-en.html&lt;/div&gt;`)[0];\n",
-       "                popup_a0a753d97014abaa12cfb66cb597c762.setContent(html_47d5aa7bbcd77e63373b74896beb0fcf);\n",
+       "                var html_62128d0013f07b1d324d33fd8bff527b = $(`&lt;div id=&quot;html_62128d0013f07b1d324d33fd8bff527b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ID Business Solutions&lt;/b&gt; &lt;br&gt;https://help.idbs.com/advisories/en/index-en.html&lt;/div&gt;`)[0];\n",
+       "                popup_22de124ac04fbd995a704af823557d3a.setContent(html_62128d0013f07b1d324d33fd8bff527b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7990546ef673b9914efe087f08030c97.bindPopup(popup_a0a753d97014abaa12cfb66cb597c762)\n",
+       "        marker_b686d8bac5821bd5de68d8df72d35637.bindPopup(popup_22de124ac04fbd995a704af823557d3a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_81dc6f8e342d4011102dd64707d5f75f = L.marker(\n",
+       "            var marker_ae53494cdaeba7f63f201fafae3d421b = L.marker(\n",
        "                [36.638392, 127.6961188],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_25fdb0a8fd604509c0df194e83191cc4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ad4a6f7ab2f0ccf36e8c9af3189c94c2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_81dc6f8e342d4011102dd64707d5f75f.setIcon(icon_25fdb0a8fd604509c0df194e83191cc4);\n",
+       "            marker_ae53494cdaeba7f63f201fafae3d421b.setIcon(icon_ad4a6f7ab2f0ccf36e8c9af3189c94c2);\n",
        "        \n",
        "    \n",
-       "        var popup_8fb8c52088a6ae412dcdef0f31ba3e39 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b13bd4e1eb7a08da33d5102a54527fa3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e60b7ba6e4ce1c25938c94750c894222 = $(`&lt;div id=&quot;html_e60b7ba6e4ce1c25938c94750c894222&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hanwha Vision Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.hanwhavision.com/en/support/cybersecurity/&lt;/div&gt;`)[0];\n",
-       "                popup_8fb8c52088a6ae412dcdef0f31ba3e39.setContent(html_e60b7ba6e4ce1c25938c94750c894222);\n",
+       "                var html_6602b8c1510c1836d7014049b44528b7 = $(`&lt;div id=&quot;html_6602b8c1510c1836d7014049b44528b7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Hanwha Vision Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.hanwhavision.com/en/support/cybersecurity/&lt;/div&gt;`)[0];\n",
+       "                popup_b13bd4e1eb7a08da33d5102a54527fa3.setContent(html_6602b8c1510c1836d7014049b44528b7);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_81dc6f8e342d4011102dd64707d5f75f.bindPopup(popup_8fb8c52088a6ae412dcdef0f31ba3e39)\n",
+       "        marker_ae53494cdaeba7f63f201fafae3d421b.bindPopup(popup_b13bd4e1eb7a08da33d5102a54527fa3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3796c0f064ffc48a4101c39d986ad0bd = L.marker(\n",
+       "            var marker_b8f192167cea8def41e35f07f94185e0 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0958670c698ea5f0678f1b39fc0a75ec = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ff72b82046d7d5b84e286b7713f4a8e6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3796c0f064ffc48a4101c39d986ad0bd.setIcon(icon_0958670c698ea5f0678f1b39fc0a75ec);\n",
+       "            marker_b8f192167cea8def41e35f07f94185e0.setIcon(icon_ff72b82046d7d5b84e286b7713f4a8e6);\n",
        "        \n",
        "    \n",
-       "        var popup_104d692856ddd10b834e3424106a22e7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b5be5759bbf2777867e1d1eb14a27cd3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_acb1d99d4ff487c4412375bf6a925a83 = $(`&lt;div id=&quot;html_acb1d99d4ff487c4412375bf6a925a83&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CrowdStrike Holdings, Inc.&lt;/b&gt; &lt;br&gt;https://www.crowdstrike.com/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_104d692856ddd10b834e3424106a22e7.setContent(html_acb1d99d4ff487c4412375bf6a925a83);\n",
+       "                var html_081658612c540f2b76b434b09d4e1ed0 = $(`&lt;div id=&quot;html_081658612c540f2b76b434b09d4e1ed0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CrowdStrike Holdings, Inc.&lt;/b&gt; &lt;br&gt;https://www.crowdstrike.com/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_b5be5759bbf2777867e1d1eb14a27cd3.setContent(html_081658612c540f2b76b434b09d4e1ed0);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3796c0f064ffc48a4101c39d986ad0bd.bindPopup(popup_104d692856ddd10b834e3424106a22e7)\n",
+       "        marker_b8f192167cea8def41e35f07f94185e0.bindPopup(popup_b5be5759bbf2777867e1d1eb14a27cd3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_830adad61124f70ca10a1b828622175d = L.marker(\n",
+       "            var marker_d0912c5c180cbc9fc3f8b9c80da3033f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8d5da138401553ba84bf732d3e8b8a81 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e0e58e99debed0f1415853adbbbb8c7e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_830adad61124f70ca10a1b828622175d.setIcon(icon_8d5da138401553ba84bf732d3e8b8a81);\n",
+       "            marker_d0912c5c180cbc9fc3f8b9c80da3033f.setIcon(icon_e0e58e99debed0f1415853adbbbb8c7e);\n",
        "        \n",
        "    \n",
-       "        var popup_ba0913d1e1f346147310ff9a9117dfd5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e621f95e0abcac74540ea0ee4317c306 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_411066141ca77727ece0aa1429367d91 = $(`&lt;div id=&quot;html_411066141ca77727ece0aa1429367d91&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Progress Software Corporation&lt;/b&gt; &lt;br&gt;https://community.progress.com/s/&lt;/div&gt;`)[0];\n",
-       "                popup_ba0913d1e1f346147310ff9a9117dfd5.setContent(html_411066141ca77727ece0aa1429367d91);\n",
+       "                var html_a8792eab97944f22c34cec3311e8e7f3 = $(`&lt;div id=&quot;html_a8792eab97944f22c34cec3311e8e7f3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Progress Software Corporation&lt;/b&gt; &lt;br&gt;https://community.progress.com/s/&lt;/div&gt;`)[0];\n",
+       "                popup_e621f95e0abcac74540ea0ee4317c306.setContent(html_a8792eab97944f22c34cec3311e8e7f3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_830adad61124f70ca10a1b828622175d.bindPopup(popup_ba0913d1e1f346147310ff9a9117dfd5)\n",
+       "        marker_d0912c5c180cbc9fc3f8b9c80da3033f.bindPopup(popup_e621f95e0abcac74540ea0ee4317c306)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_60bd8f244ee8b326f3b46287473ff022 = L.marker(\n",
+       "            var marker_b9e69d6c95ba6cf2e3b0c020bf862eca = L.marker(\n",
        "                [52.215933, 19.134422],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_455d2c4c738221191ca0ed0c53eb3d0f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a66f958265121d044477390924c94436 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_60bd8f244ee8b326f3b46287473ff022.setIcon(icon_455d2c4c738221191ca0ed0c53eb3d0f);\n",
+       "            marker_b9e69d6c95ba6cf2e3b0c020bf862eca.setIcon(icon_a66f958265121d044477390924c94436);\n",
        "        \n",
        "    \n",
-       "        var popup_fbbceb74eefa459f73e1394b4f3289f9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c94f2c33cd8fe4815400e40b501d6d4a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_87c3c1f14cb0ec9b340fa2a373df1412 = $(`&lt;div id=&quot;html_87c3c1f14cb0ec9b340fa2a373df1412&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CERT.PL&lt;/b&gt; &lt;br&gt;https://cert.pl/cve/&lt;/div&gt;`)[0];\n",
-       "                popup_fbbceb74eefa459f73e1394b4f3289f9.setContent(html_87c3c1f14cb0ec9b340fa2a373df1412);\n",
+       "                var html_811d900dc5b12484bc1a76259ddf1370 = $(`&lt;div id=&quot;html_811d900dc5b12484bc1a76259ddf1370&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;CERT.PL&lt;/b&gt; &lt;br&gt;https://cert.pl/cve/&lt;/div&gt;`)[0];\n",
+       "                popup_c94f2c33cd8fe4815400e40b501d6d4a.setContent(html_811d900dc5b12484bc1a76259ddf1370);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_60bd8f244ee8b326f3b46287473ff022.bindPopup(popup_fbbceb74eefa459f73e1394b4f3289f9)\n",
+       "        marker_b9e69d6c95ba6cf2e3b0c020bf862eca.bindPopup(popup_c94f2c33cd8fe4815400e40b501d6d4a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_cc18a484a80038fa86e6f282bc381aa4 = L.marker(\n",
+       "            var marker_de87c27bcff83102cea648fee00a7446 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ee9ad286f94b69b71b963fba2ae25cc4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b36257b7d2d906b0717f4c2b102b8a42 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_cc18a484a80038fa86e6f282bc381aa4.setIcon(icon_ee9ad286f94b69b71b963fba2ae25cc4);\n",
+       "            marker_de87c27bcff83102cea648fee00a7446.setIcon(icon_b36257b7d2d906b0717f4c2b102b8a42);\n",
        "        \n",
        "    \n",
-       "        var popup_f480f9c59720624f122daa36c51b6cf2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_4f7b9242e5c405d4b5d5048e7b786493 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_bcaa3c5176f0699c373e10028a3032a4 = $(`&lt;div id=&quot;html_bcaa3c5176f0699c373e10028a3032a4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cybersecurity and Infrastructure Security Agency (CISA)&lt;/b&gt; &lt;br&gt;https://www.cisa.gov/news-events/cybersecurity-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_f480f9c59720624f122daa36c51b6cf2.setContent(html_bcaa3c5176f0699c373e10028a3032a4);\n",
+       "                var html_18628ff3ebdb84950a42b06aa798d9d8 = $(`&lt;div id=&quot;html_18628ff3ebdb84950a42b06aa798d9d8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cybersecurity and Infrastructure Security Agency (CISA)&lt;/b&gt; &lt;br&gt;https://www.cisa.gov/news-events/cybersecurity-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_4f7b9242e5c405d4b5d5048e7b786493.setContent(html_18628ff3ebdb84950a42b06aa798d9d8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_cc18a484a80038fa86e6f282bc381aa4.bindPopup(popup_f480f9c59720624f122daa36c51b6cf2)\n",
+       "        marker_de87c27bcff83102cea648fee00a7446.bindPopup(popup_4f7b9242e5c405d4b5d5048e7b786493)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7e010ee24346d996e0e6f9691c66dc61 = L.marker(\n",
+       "            var marker_c224c93bb074c01531efe75bab3118e7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d5d7473c2f502822f94a339c9849d1f4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ab8c78b77cb12732cb9dbd4f0121f740 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7e010ee24346d996e0e6f9691c66dc61.setIcon(icon_d5d7473c2f502822f94a339c9849d1f4);\n",
+       "            marker_c224c93bb074c01531efe75bab3118e7.setIcon(icon_ab8c78b77cb12732cb9dbd4f0121f740);\n",
        "        \n",
        "    \n",
-       "        var popup_5a7ec75ef144019a1d14278dcc21a0cf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_f28303ea5f144a6ff9f8081e8a177ac1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_4980149041592428bf9281c2322c72aa = $(`&lt;div id=&quot;html_4980149041592428bf9281c2322c72aa&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cybersecurity and Infrastructure Security Agency (CISA) U.S. Civilian Government&lt;/b&gt; &lt;br&gt;https://www.cisa.gov/news-events/cybersecurity-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_5a7ec75ef144019a1d14278dcc21a0cf.setContent(html_4980149041592428bf9281c2322c72aa);\n",
+       "                var html_edf0535fbe6b9c57a32ba71a19549b0d = $(`&lt;div id=&quot;html_edf0535fbe6b9c57a32ba71a19549b0d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cybersecurity and Infrastructure Security Agency (CISA) U.S. Civilian Government&lt;/b&gt; &lt;br&gt;https://www.cisa.gov/news-events/cybersecurity-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_f28303ea5f144a6ff9f8081e8a177ac1.setContent(html_edf0535fbe6b9c57a32ba71a19549b0d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7e010ee24346d996e0e6f9691c66dc61.bindPopup(popup_5a7ec75ef144019a1d14278dcc21a0cf)\n",
+       "        marker_c224c93bb074c01531efe75bab3118e7.bindPopup(popup_f28303ea5f144a6ff9f8081e8a177ac1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_247bb0a0265c48e4e590b681494e7784 = L.marker(\n",
+       "            var marker_cd40c41509380e233f6ff25db4bbb59c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_efdac418af2c75b9c719ddd5e721a176 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_16f32b66f73a9721f6a478263506d324 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_247bb0a0265c48e4e590b681494e7784.setIcon(icon_efdac418af2c75b9c719ddd5e721a176);\n",
+       "            marker_cd40c41509380e233f6ff25db4bbb59c.setIcon(icon_16f32b66f73a9721f6a478263506d324);\n",
        "        \n",
        "    \n",
-       "        var popup_58e708a4eb7de3ddc2d5c9ba6a2896c0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c4dd6dd9bc41a0ce07575ab8aa3dce3d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fd4d37fa6eec6b68debe7fee2e6e4c55 = $(`&lt;div id=&quot;html_fd4d37fa6eec6b68debe7fee2e6e4c55&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Phoenix Technologies, Inc.&lt;/b&gt; &lt;br&gt;https://www.phoenix.com/product-security/&lt;/div&gt;`)[0];\n",
-       "                popup_58e708a4eb7de3ddc2d5c9ba6a2896c0.setContent(html_fd4d37fa6eec6b68debe7fee2e6e4c55);\n",
+       "                var html_edcbcea2d4488a3e56f65cb7b706ba20 = $(`&lt;div id=&quot;html_edcbcea2d4488a3e56f65cb7b706ba20&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Phoenix Technologies, Inc.&lt;/b&gt; &lt;br&gt;https://www.phoenix.com/product-security/&lt;/div&gt;`)[0];\n",
+       "                popup_c4dd6dd9bc41a0ce07575ab8aa3dce3d.setContent(html_edcbcea2d4488a3e56f65cb7b706ba20);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_247bb0a0265c48e4e590b681494e7784.bindPopup(popup_58e708a4eb7de3ddc2d5c9ba6a2896c0)\n",
+       "        marker_cd40c41509380e233f6ff25db4bbb59c.bindPopup(popup_c4dd6dd9bc41a0ce07575ab8aa3dce3d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_df376d28d8ff657b9230fb8ebf8296b9 = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_b574a640404a39effd53179ac0db2e57 = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_eb71979fc5d32c081d1d46f07a148bc8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5873aec4464dd023d9c16dd1cfc75a43 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_df376d28d8ff657b9230fb8ebf8296b9.setIcon(icon_eb71979fc5d32c081d1d46f07a148bc8);\n",
+       "            marker_b574a640404a39effd53179ac0db2e57.setIcon(icon_5873aec4464dd023d9c16dd1cfc75a43);\n",
        "        \n",
        "    \n",
-       "        var popup_c7c2dbad5666ead13283d86f05c1b883 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7a46252832a36a3ed3bfe28baddfe6d3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_506aa81de3f0e88dba65446a530cc8b1 = $(`&lt;div id=&quot;html_506aa81de3f0e88dba65446a530cc8b1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VULSec Labs&lt;/b&gt; &lt;br&gt;https://www.vulsec.org/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_c7c2dbad5666ead13283d86f05c1b883.setContent(html_506aa81de3f0e88dba65446a530cc8b1);\n",
+       "                var html_2830c2a308ccff370071949573829c93 = $(`&lt;div id=&quot;html_2830c2a308ccff370071949573829c93&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VULSec Labs&lt;/b&gt; &lt;br&gt;https://www.vulsec.org/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_7a46252832a36a3ed3bfe28baddfe6d3.setContent(html_2830c2a308ccff370071949573829c93);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_df376d28d8ff657b9230fb8ebf8296b9.bindPopup(popup_c7c2dbad5666ead13283d86f05c1b883)\n",
+       "        marker_b574a640404a39effd53179ac0db2e57.bindPopup(popup_7a46252832a36a3ed3bfe28baddfe6d3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_759c0b7db22887595a903afaca463095 = L.marker(\n",
+       "            var marker_3e0693a79c01e81d13a4f58ac05fa21a = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9f563d32161837f128e58c442e5c84ba = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_121fffebd235fb611dd5680c4cd2500a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_759c0b7db22887595a903afaca463095.setIcon(icon_9f563d32161837f128e58c442e5c84ba);\n",
+       "            marker_3e0693a79c01e81d13a4f58ac05fa21a.setIcon(icon_121fffebd235fb611dd5680c4cd2500a);\n",
        "        \n",
        "    \n",
-       "        var popup_28d0ca600987b7befc435ecafaae7872 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d2b7b49ce7951f455b93a5ef0baa49b2 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c6c53881e699a146944188865508ad31 = $(`&lt;div id=&quot;html_c6c53881e699a146944188865508ad31&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mandiant Inc.&lt;/b&gt; &lt;br&gt;https://github.com/mandiant/Vulnerability-Disclosures&lt;/div&gt;`)[0];\n",
-       "                popup_28d0ca600987b7befc435ecafaae7872.setContent(html_c6c53881e699a146944188865508ad31);\n",
+       "                var html_3a38cd59c5baedba0856e6cb524633ff = $(`&lt;div id=&quot;html_3a38cd59c5baedba0856e6cb524633ff&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mandiant Inc.&lt;/b&gt; &lt;br&gt;https://github.com/mandiant/Vulnerability-Disclosures&lt;/div&gt;`)[0];\n",
+       "                popup_d2b7b49ce7951f455b93a5ef0baa49b2.setContent(html_3a38cd59c5baedba0856e6cb524633ff);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_759c0b7db22887595a903afaca463095.bindPopup(popup_28d0ca600987b7befc435ecafaae7872)\n",
+       "        marker_3e0693a79c01e81d13a4f58ac05fa21a.bindPopup(popup_d2b7b49ce7951f455b93a5ef0baa49b2)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3bc9a6525efd90585d0ca61daebf7360 = L.marker(\n",
+       "            var marker_3ca6dc914fdb01e382edef68692b0157 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_afe89ec797ecfd02471cdfb9876b9bcd = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_351040e4d32ec273cf1d77bafd652770 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3bc9a6525efd90585d0ca61daebf7360.setIcon(icon_afe89ec797ecfd02471cdfb9876b9bcd);\n",
+       "            marker_3ca6dc914fdb01e382edef68692b0157.setIcon(icon_351040e4d32ec273cf1d77bafd652770);\n",
        "        \n",
        "    \n",
-       "        var popup_9e852e768ebdf5bf484544c4fc3f90c1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_33d93be8b6bbbe0ea2e994d6434fc212 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_63934836a7341ee8d8295470164359d0 = $(`&lt;div id=&quot;html_63934836a7341ee8d8295470164359d0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pure Storage, Inc.&lt;/b&gt; &lt;br&gt;https://support.purestorage.com/bundle/m_security_bulletins/page/Pure_Security/topics/concept/c_security_bulletins.html&lt;/div&gt;`)[0];\n",
-       "                popup_9e852e768ebdf5bf484544c4fc3f90c1.setContent(html_63934836a7341ee8d8295470164359d0);\n",
+       "                var html_63a975f7c2c5e80dbafdffa1519a2d63 = $(`&lt;div id=&quot;html_63a975f7c2c5e80dbafdffa1519a2d63&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pure Storage, Inc.&lt;/b&gt; &lt;br&gt;https://support.purestorage.com/bundle/m_security_bulletins/page/Pure_Security/topics/concept/c_security_bulletins.html&lt;/div&gt;`)[0];\n",
+       "                popup_33d93be8b6bbbe0ea2e994d6434fc212.setContent(html_63a975f7c2c5e80dbafdffa1519a2d63);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3bc9a6525efd90585d0ca61daebf7360.bindPopup(popup_9e852e768ebdf5bf484544c4fc3f90c1)\n",
+       "        marker_3ca6dc914fdb01e382edef68692b0157.bindPopup(popup_33d93be8b6bbbe0ea2e994d6434fc212)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d522cf8cab9a7690d12e3652da0d9edc = L.marker(\n",
+       "            var marker_8d796c04371b67d4826ee489ea81c492 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6a83324b4b533937835096efef5171db = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6bc0deff017db5bddd80122ec393fb68 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d522cf8cab9a7690d12e3652da0d9edc.setIcon(icon_6a83324b4b533937835096efef5171db);\n",
+       "            marker_8d796c04371b67d4826ee489ea81c492.setIcon(icon_6bc0deff017db5bddd80122ec393fb68);\n",
        "        \n",
        "    \n",
-       "        var popup_303ba63490826d85f7e1ad46e721ca59 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b430f9a534f88a1122150eec9381c66e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_32dd9ac29a9024e2d2a4f85d24d3ca31 = $(`&lt;div id=&quot;html_32dd9ac29a9024e2d2a4f85d24d3ca31&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Python Software Foundation&lt;/b&gt; &lt;br&gt;https://mail.python.org/archives/list/security-announce@python.org/latest&lt;/div&gt;`)[0];\n",
-       "                popup_303ba63490826d85f7e1ad46e721ca59.setContent(html_32dd9ac29a9024e2d2a4f85d24d3ca31);\n",
+       "                var html_141b49187ad2bdf702c78c254a7056cb = $(`&lt;div id=&quot;html_141b49187ad2bdf702c78c254a7056cb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Python Software Foundation&lt;/b&gt; &lt;br&gt;https://mail.python.org/archives/list/security-announce@python.org/latest&lt;/div&gt;`)[0];\n",
+       "                popup_b430f9a534f88a1122150eec9381c66e.setContent(html_141b49187ad2bdf702c78c254a7056cb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d522cf8cab9a7690d12e3652da0d9edc.bindPopup(popup_303ba63490826d85f7e1ad46e721ca59)\n",
+       "        marker_8d796c04371b67d4826ee489ea81c492.bindPopup(popup_b430f9a534f88a1122150eec9381c66e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e267cff1cfec5111f37464136428b7de = L.marker(\n",
+       "            var marker_06e68887d69a88a08782cb4df1aab569 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d8dbc74f6084137329969fb56bbd6b38 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_59d35d95ff39226cfffe5854bb75b5ce = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e267cff1cfec5111f37464136428b7de.setIcon(icon_d8dbc74f6084137329969fb56bbd6b38);\n",
+       "            marker_06e68887d69a88a08782cb4df1aab569.setIcon(icon_59d35d95ff39226cfffe5854bb75b5ce);\n",
        "        \n",
        "    \n",
-       "        var popup_adb6e8b9ee3a53fd5be39e5ac23b61fe = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_198fbe056ab56ab8aa66c940ea9fa9c3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_255b1ef754ff02529ab47b295cc9a441 = $(`&lt;div id=&quot;html_255b1ef754ff02529ab47b295cc9a441&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Securin&lt;/b&gt; &lt;br&gt;https://www.securin.io/zero-days-list/&lt;/div&gt;`)[0];\n",
-       "                popup_adb6e8b9ee3a53fd5be39e5ac23b61fe.setContent(html_255b1ef754ff02529ab47b295cc9a441);\n",
+       "                var html_9ef8445af79195bc18c8b4a070aba0c4 = $(`&lt;div id=&quot;html_9ef8445af79195bc18c8b4a070aba0c4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Securin&lt;/b&gt; &lt;br&gt;https://www.securin.io/zero-days-list/&lt;/div&gt;`)[0];\n",
+       "                popup_198fbe056ab56ab8aa66c940ea9fa9c3.setContent(html_9ef8445af79195bc18c8b4a070aba0c4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e267cff1cfec5111f37464136428b7de.bindPopup(popup_adb6e8b9ee3a53fd5be39e5ac23b61fe)\n",
+       "        marker_06e68887d69a88a08782cb4df1aab569.bindPopup(popup_198fbe056ab56ab8aa66c940ea9fa9c3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e4b85d3fc87ab890d96b3595421bd34f = L.marker(\n",
+       "            var marker_fc56d52ba51727ad4419b6c42484105a = L.marker(\n",
        "                [63.2467777, 25.9209164],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6cae81bbf56ddb686d4c1bc77c0e3758 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6a390c56d2917f23194d54139a75f2cf = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e4b85d3fc87ab890d96b3595421bd34f.setIcon(icon_6cae81bbf56ddb686d4c1bc77c0e3758);\n",
+       "            marker_fc56d52ba51727ad4419b6c42484105a.setIcon(icon_6a390c56d2917f23194d54139a75f2cf);\n",
        "        \n",
        "    \n",
-       "        var popup_1c53d696696aa901942954bd5a1667e7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_40e150f645c73a78bf2e772d0887db58 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_398863470ce60c68412dd2754da767ac = $(`&lt;div id=&quot;html_398863470ce60c68412dd2754da767ac&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Nokia&lt;/b&gt; &lt;br&gt;https://www.nokia.com/about-us/security-and-privacy/product-security-advisory/&lt;/div&gt;`)[0];\n",
-       "                popup_1c53d696696aa901942954bd5a1667e7.setContent(html_398863470ce60c68412dd2754da767ac);\n",
+       "                var html_26dc7e1006d68e78f50e5f373f74418e = $(`&lt;div id=&quot;html_26dc7e1006d68e78f50e5f373f74418e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Nokia&lt;/b&gt; &lt;br&gt;https://www.nokia.com/about-us/security-and-privacy/product-security-advisory/&lt;/div&gt;`)[0];\n",
+       "                popup_40e150f645c73a78bf2e772d0887db58.setContent(html_26dc7e1006d68e78f50e5f373f74418e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e4b85d3fc87ab890d96b3595421bd34f.bindPopup(popup_1c53d696696aa901942954bd5a1667e7)\n",
+       "        marker_fc56d52ba51727ad4419b6c42484105a.bindPopup(popup_40e150f645c73a78bf2e772d0887db58)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_d82b9ccf0005c4dd73d69c5f2b1423a3 = L.marker(\n",
+       "            var marker_a11c0fd329d8cea507d7c4525dfecc11 = L.marker(\n",
        "                [-41.5000831, 172.8344077],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6d7e5e0e023d281bd696fef74e18aa29 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cc88849d51ac5c950b138cade2d1c1dd = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_d82b9ccf0005c4dd73d69c5f2b1423a3.setIcon(icon_6d7e5e0e023d281bd696fef74e18aa29);\n",
+       "            marker_a11c0fd329d8cea507d7c4525dfecc11.setIcon(icon_cc88849d51ac5c950b138cade2d1c1dd);\n",
        "        \n",
        "    \n",
-       "        var popup_8ea5b7ca98cd80a3828e775e0e0d5104 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ae6dbbbd173f103aa79afcd151956b28 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_875be33301460584574235c3e0471ee4 = $(`&lt;div id=&quot;html_875be33301460584574235c3e0471ee4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Integrated Control Technology LTD&lt;/b&gt; &lt;br&gt;https://ict.co/help-support/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_8ea5b7ca98cd80a3828e775e0e0d5104.setContent(html_875be33301460584574235c3e0471ee4);\n",
+       "                var html_b707551ea0b388352b251ae070dab3a1 = $(`&lt;div id=&quot;html_b707551ea0b388352b251ae070dab3a1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Integrated Control Technology LTD&lt;/b&gt; &lt;br&gt;https://ict.co/help-support/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_ae6dbbbd173f103aa79afcd151956b28.setContent(html_b707551ea0b388352b251ae070dab3a1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_d82b9ccf0005c4dd73d69c5f2b1423a3.bindPopup(popup_8ea5b7ca98cd80a3828e775e0e0d5104)\n",
+       "        marker_a11c0fd329d8cea507d7c4525dfecc11.bindPopup(popup_ae6dbbbd173f103aa79afcd151956b28)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_66556aea5ef7ef4ae1ce1fc5e8c735d8 = L.marker(\n",
+       "            var marker_5fe5a8b5dc0b831b0ecb7eb2eb87ec33 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_dd1a2984c0272a5b0979641b5214c5e7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_78ef7cedd52c71e621e82151f7ff09b1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_66556aea5ef7ef4ae1ce1fc5e8c735d8.setIcon(icon_dd1a2984c0272a5b0979641b5214c5e7);\n",
+       "            marker_5fe5a8b5dc0b831b0ecb7eb2eb87ec33.setIcon(icon_78ef7cedd52c71e621e82151f7ff09b1);\n",
        "        \n",
        "    \n",
-       "        var popup_3ab31e7877428299341689ba25963e77 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6c743694aa6885f2f9d49e192d3a4ba4 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_27f18d6a9776d2278408d0273960986b = $(`&lt;div id=&quot;html_27f18d6a9776d2278408d0273960986b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Xerox Corporation&lt;/b&gt; &lt;br&gt;https://security.business.xerox.com/en-us/documents/bulletins/&lt;/div&gt;`)[0];\n",
-       "                popup_3ab31e7877428299341689ba25963e77.setContent(html_27f18d6a9776d2278408d0273960986b);\n",
+       "                var html_02f144eb5a3d320313040112dc58c4ec = $(`&lt;div id=&quot;html_02f144eb5a3d320313040112dc58c4ec&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Xerox Corporation&lt;/b&gt; &lt;br&gt;https://security.business.xerox.com/en-us/documents/bulletins/&lt;/div&gt;`)[0];\n",
+       "                popup_6c743694aa6885f2f9d49e192d3a4ba4.setContent(html_02f144eb5a3d320313040112dc58c4ec);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_66556aea5ef7ef4ae1ce1fc5e8c735d8.bindPopup(popup_3ab31e7877428299341689ba25963e77)\n",
+       "        marker_5fe5a8b5dc0b831b0ecb7eb2eb87ec33.bindPopup(popup_6c743694aa6885f2f9d49e192d3a4ba4)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4794bad44748e361cdce26170a60d08c = L.marker(\n",
+       "            var marker_0aef5c92f651caca6ea5e42522cf7803 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_aefdb04a3a6b0d3a2ad6158dd7213d4d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4504942baf50ac63d5d399a2db0bac3c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4794bad44748e361cdce26170a60d08c.setIcon(icon_aefdb04a3a6b0d3a2ad6158dd7213d4d);\n",
+       "            marker_0aef5c92f651caca6ea5e42522cf7803.setIcon(icon_4504942baf50ac63d5d399a2db0bac3c);\n",
        "        \n",
        "    \n",
-       "        var popup_dcf21dfba9d4abd1d26e85d0138cde03 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c16803b891017726b6bcbab73923e840 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_11b001bb4b11506b7ca59b148d17a101 = $(`&lt;div id=&quot;html_11b001bb4b11506b7ca59b148d17a101&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SoftIron&lt;/b&gt; &lt;br&gt;https://advisories.softiron.cloud/&lt;/div&gt;`)[0];\n",
-       "                popup_dcf21dfba9d4abd1d26e85d0138cde03.setContent(html_11b001bb4b11506b7ca59b148d17a101);\n",
+       "                var html_b9d1b48a866147cc8560fb250a689115 = $(`&lt;div id=&quot;html_b9d1b48a866147cc8560fb250a689115&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SoftIron&lt;/b&gt; &lt;br&gt;https://advisories.softiron.cloud/&lt;/div&gt;`)[0];\n",
+       "                popup_c16803b891017726b6bcbab73923e840.setContent(html_b9d1b48a866147cc8560fb250a689115);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4794bad44748e361cdce26170a60d08c.bindPopup(popup_dcf21dfba9d4abd1d26e85d0138cde03)\n",
+       "        marker_0aef5c92f651caca6ea5e42522cf7803.bindPopup(popup_c16803b891017726b6bcbab73923e840)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_44a23b6330b00a41c639a119b11fa2cf = L.marker(\n",
+       "            var marker_67d162d0593f11b26d2b91f4d0ea8423 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8ac7e45b27f371353debf46d1c25d720 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f67db98d29543b3b951d4e103fd4e531 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_44a23b6330b00a41c639a119b11fa2cf.setIcon(icon_8ac7e45b27f371353debf46d1c25d720);\n",
+       "            marker_67d162d0593f11b26d2b91f4d0ea8423.setIcon(icon_f67db98d29543b3b951d4e103fd4e531);\n",
        "        \n",
        "    \n",
-       "        var popup_33466b591b63a70f843abe67a0a4d12f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_30877f0af1b2d10b3515b61fa12930a2 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_53053f57a9b0fc1b8f0006a2f3693d6d = $(`&lt;div id=&quot;html_53053f57a9b0fc1b8f0006a2f3693d6d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Analog Devices, Inc.&lt;/b&gt; &lt;br&gt;https://www.analog.com/en/support/technical-support/product-security-response-center.html&lt;/div&gt;`)[0];\n",
-       "                popup_33466b591b63a70f843abe67a0a4d12f.setContent(html_53053f57a9b0fc1b8f0006a2f3693d6d);\n",
+       "                var html_9e862cf60269d60a567b3d8c929b4aba = $(`&lt;div id=&quot;html_9e862cf60269d60a567b3d8c929b4aba&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Analog Devices, Inc.&lt;/b&gt; &lt;br&gt;https://www.analog.com/en/support/technical-support/product-security-response-center.html&lt;/div&gt;`)[0];\n",
+       "                popup_30877f0af1b2d10b3515b61fa12930a2.setContent(html_9e862cf60269d60a567b3d8c929b4aba);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_44a23b6330b00a41c639a119b11fa2cf.bindPopup(popup_33466b591b63a70f843abe67a0a4d12f)\n",
+       "        marker_67d162d0593f11b26d2b91f4d0ea8423.bindPopup(popup_30877f0af1b2d10b3515b61fa12930a2)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e5becba3e615ad86451d5013c1614193 = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_199526ec71f4a1527c95f1fbeb88f4be = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f7f71defbfa088bb773c521ad6bc7f6c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8aaf809b64c4f966adf8ac9ae1cd5b1e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e5becba3e615ad86451d5013c1614193.setIcon(icon_f7f71defbfa088bb773c521ad6bc7f6c);\n",
+       "            marker_199526ec71f4a1527c95f1fbeb88f4be.setIcon(icon_8aaf809b64c4f966adf8ac9ae1cd5b1e);\n",
        "        \n",
        "    \n",
-       "        var popup_a4ef0d95c4b1fcc42aabf20c30447be1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_34a5856a30400a355c2545883941ab66 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_55ad84c989ca0b9f36e2167f177bf1b4 = $(`&lt;div id=&quot;html_55ad84c989ca0b9f36e2167f177bf1b4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;AlgoSec&lt;/b&gt; &lt;br&gt;https://www.algosec.com/resources/guide/algosec-security-center/#:~:text=05-&lt;/div&gt;`)[0];\n",
-       "                popup_a4ef0d95c4b1fcc42aabf20c30447be1.setContent(html_55ad84c989ca0b9f36e2167f177bf1b4);\n",
+       "                var html_aab68996b68171eb01a667a696d4ac93 = $(`&lt;div id=&quot;html_aab68996b68171eb01a667a696d4ac93&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;AlgoSec&lt;/b&gt; &lt;br&gt;https://www.algosec.com/resources/guide/algosec-security-center/#:~:text=05-&lt;/div&gt;`)[0];\n",
+       "                popup_34a5856a30400a355c2545883941ab66.setContent(html_aab68996b68171eb01a667a696d4ac93);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e5becba3e615ad86451d5013c1614193.bindPopup(popup_a4ef0d95c4b1fcc42aabf20c30447be1)\n",
+       "        marker_199526ec71f4a1527c95f1fbeb88f4be.bindPopup(popup_34a5856a30400a355c2545883941ab66)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_babacd6263aa28f2bf2fc6dc8fb592f0 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_ce7a4ac4ce3a8ca44b655df4226b83fd = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_80076b97284a27a191c8d3e18d801f5c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_1177267e26c9fc455cedb57fdbf6891a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_babacd6263aa28f2bf2fc6dc8fb592f0.setIcon(icon_80076b97284a27a191c8d3e18d801f5c);\n",
+       "            marker_ce7a4ac4ce3a8ca44b655df4226b83fd.setIcon(icon_1177267e26c9fc455cedb57fdbf6891a);\n",
        "        \n",
        "    \n",
-       "        var popup_254b1b1863fe110977b943da81d86dec = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_93bf95118494fc0d5aa93bc471380553 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e9426f27ae315a7ddeede72ad25c00f6 = $(`&lt;div id=&quot;html_e9426f27ae315a7ddeede72ad25c00f6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Canon EMEA&lt;/b&gt; &lt;br&gt;https://www.canon-europe.com/psirt/advisory-information&lt;/div&gt;`)[0];\n",
-       "                popup_254b1b1863fe110977b943da81d86dec.setContent(html_e9426f27ae315a7ddeede72ad25c00f6);\n",
+       "                var html_67fc787db6a93d4694f117f8feb08335 = $(`&lt;div id=&quot;html_67fc787db6a93d4694f117f8feb08335&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Canon EMEA&lt;/b&gt; &lt;br&gt;https://www.canon-europe.com/psirt/advisory-information&lt;/div&gt;`)[0];\n",
+       "                popup_93bf95118494fc0d5aa93bc471380553.setContent(html_67fc787db6a93d4694f117f8feb08335);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_babacd6263aa28f2bf2fc6dc8fb592f0.bindPopup(popup_254b1b1863fe110977b943da81d86dec)\n",
+       "        marker_ce7a4ac4ce3a8ca44b655df4226b83fd.bindPopup(popup_93bf95118494fc0d5aa93bc471380553)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_15663d1eae62f1ff268f230450f54498 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_a7e1e983b462b43627fda6c4235d4bf5 = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9449cfc54ff1f91cc825b71c5a192b47 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e010d72ab7e208f7a86e935615134e4f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_15663d1eae62f1ff268f230450f54498.setIcon(icon_9449cfc54ff1f91cc825b71c5a192b47);\n",
+       "            marker_a7e1e983b462b43627fda6c4235d4bf5.setIcon(icon_e010d72ab7e208f7a86e935615134e4f);\n",
        "        \n",
        "    \n",
-       "        var popup_a4aa3ffe12a4edb0c23c3b8eb566311f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a1fd3fccafa347a8422a043db1e62106 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_bc186a8d8868dde709e71e9058e581b4 = $(`&lt;div id=&quot;html_bc186a8d8868dde709e71e9058e581b4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;1E Limited&lt;/b&gt; &lt;br&gt;https://www.1e.com/trust-security-compliance/cve-info/&lt;/div&gt;`)[0];\n",
-       "                popup_a4aa3ffe12a4edb0c23c3b8eb566311f.setContent(html_bc186a8d8868dde709e71e9058e581b4);\n",
+       "                var html_f2dae95f15003e052967f202f287683b = $(`&lt;div id=&quot;html_f2dae95f15003e052967f202f287683b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;1E Limited&lt;/b&gt; &lt;br&gt;https://www.1e.com/trust-security-compliance/cve-info/&lt;/div&gt;`)[0];\n",
+       "                popup_a1fd3fccafa347a8422a043db1e62106.setContent(html_f2dae95f15003e052967f202f287683b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_15663d1eae62f1ff268f230450f54498.bindPopup(popup_a4aa3ffe12a4edb0c23c3b8eb566311f)\n",
+       "        marker_a7e1e983b462b43627fda6c4235d4bf5.bindPopup(popup_a1fd3fccafa347a8422a043db1e62106)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_01e4b62a9751c85a8d99cb6ea34c5450 = L.marker(\n",
+       "            var marker_5b4a1cfe5be9fab0b27f2685cde3198f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_20873f4362272559a43d973581e87e2b = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f5645ca06a4ce89298b324503c434d38 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_01e4b62a9751c85a8d99cb6ea34c5450.setIcon(icon_20873f4362272559a43d973581e87e2b);\n",
+       "            marker_5b4a1cfe5be9fab0b27f2685cde3198f.setIcon(icon_f5645ca06a4ce89298b324503c434d38);\n",
        "        \n",
        "    \n",
-       "        var popup_59d78f401c06308ed2aebac6841ea375 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0ac4767ee7c4a27a3d9dd583d24221d5 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9fc185cb1b3562690b1a082870942905 = $(`&lt;div id=&quot;html_9fc185cb1b3562690b1a082870942905&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Lexmark International Inc.&lt;/b&gt; &lt;br&gt;https://www.lexmark.com/en_us/solutions/security/lexmark-security-advisories.html&lt;/div&gt;`)[0];\n",
-       "                popup_59d78f401c06308ed2aebac6841ea375.setContent(html_9fc185cb1b3562690b1a082870942905);\n",
+       "                var html_113f23e774a054afd23637ce32774897 = $(`&lt;div id=&quot;html_113f23e774a054afd23637ce32774897&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Lexmark International Inc.&lt;/b&gt; &lt;br&gt;https://www.lexmark.com/en_us/solutions/security/lexmark-security-advisories.html&lt;/div&gt;`)[0];\n",
+       "                popup_0ac4767ee7c4a27a3d9dd583d24221d5.setContent(html_113f23e774a054afd23637ce32774897);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_01e4b62a9751c85a8d99cb6ea34c5450.bindPopup(popup_59d78f401c06308ed2aebac6841ea375)\n",
+       "        marker_5b4a1cfe5be9fab0b27f2685cde3198f.bindPopup(popup_0ac4767ee7c4a27a3d9dd583d24221d5)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_1657d4c5484dd69daffbaa02486de211 = L.marker(\n",
+       "            var marker_0a29185a82ab954c95ca1c8978c17daa = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7060f2e896836eae3f2ac8446a8b197f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8d73467bd15fd540add0cb8ad5590530 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_1657d4c5484dd69daffbaa02486de211.setIcon(icon_7060f2e896836eae3f2ac8446a8b197f);\n",
+       "            marker_0a29185a82ab954c95ca1c8978c17daa.setIcon(icon_8d73467bd15fd540add0cb8ad5590530);\n",
        "        \n",
        "    \n",
-       "        var popup_dbe3129e65ae583508535752dbefd621 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c81ee537170ca957cafba95bf374a474 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_1ddf89939913b087ddfe910146ed8d66 = $(`&lt;div id=&quot;html_1ddf89939913b087ddfe910146ed8d66&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Keeper Security, Inc.&lt;/b&gt; &lt;br&gt;https://docs.keeper.io/release-notes/keeper-security/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_dbe3129e65ae583508535752dbefd621.setContent(html_1ddf89939913b087ddfe910146ed8d66);\n",
+       "                var html_21a45c9d9c243a37f8f2c27fc5f10e56 = $(`&lt;div id=&quot;html_21a45c9d9c243a37f8f2c27fc5f10e56&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Keeper Security, Inc.&lt;/b&gt; &lt;br&gt;https://docs.keeper.io/release-notes/keeper-security/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_c81ee537170ca957cafba95bf374a474.setContent(html_21a45c9d9c243a37f8f2c27fc5f10e56);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_1657d4c5484dd69daffbaa02486de211.bindPopup(popup_dbe3129e65ae583508535752dbefd621)\n",
+       "        marker_0a29185a82ab954c95ca1c8978c17daa.bindPopup(popup_c81ee537170ca957cafba95bf374a474)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_5fb2f32a58371fb8bd236aafea787165 = L.marker(\n",
+       "            var marker_1ecc13a3f9a4988a4ddce5ef7ab454f5 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f84a313cf1a7f3e5a413c908a70c2c41 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_03281fbacf1e6f4310541993ad724f65 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_5fb2f32a58371fb8bd236aafea787165.setIcon(icon_f84a313cf1a7f3e5a413c908a70c2c41);\n",
+       "            marker_1ecc13a3f9a4988a4ddce5ef7ab454f5.setIcon(icon_03281fbacf1e6f4310541993ad724f65);\n",
        "        \n",
        "    \n",
-       "        var popup_de39e01384bcdb5a315e53a416718f2c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_dc0d7c36ef537230a1dd94a403fdaca0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_00dad7264e16acf53c50df3e2f996c87 = $(`&lt;div id=&quot;html_00dad7264e16acf53c50df3e2f996c87&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Caliptra Project&lt;/b&gt; &lt;br&gt;https://github.com/chipsalliance/Caliptra/security&lt;/div&gt;`)[0];\n",
-       "                popup_de39e01384bcdb5a315e53a416718f2c.setContent(html_00dad7264e16acf53c50df3e2f996c87);\n",
+       "                var html_bf4d1c22f1e37fe0fdf51550903cd9db = $(`&lt;div id=&quot;html_bf4d1c22f1e37fe0fdf51550903cd9db&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Caliptra Project&lt;/b&gt; &lt;br&gt;https://github.com/chipsalliance/Caliptra/security&lt;/div&gt;`)[0];\n",
+       "                popup_dc0d7c36ef537230a1dd94a403fdaca0.setContent(html_bf4d1c22f1e37fe0fdf51550903cd9db);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_5fb2f32a58371fb8bd236aafea787165.bindPopup(popup_de39e01384bcdb5a315e53a416718f2c)\n",
+       "        marker_1ecc13a3f9a4988a4ddce5ef7ab454f5.bindPopup(popup_dc0d7c36ef537230a1dd94a403fdaca0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_300f0df155d52f9452a7f6f0a00fff9d = L.marker(\n",
+       "            var marker_1c0510bd6b713660c8e3e0c320fb953b = L.marker(\n",
        "                [-24.7761086, 134.755],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7efc92f30b7eddb76dd8f411098ea110 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b0af99ec898ae06dbc85fc92097bc565 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_300f0df155d52f9452a7f6f0a00fff9d.setIcon(icon_7efc92f30b7eddb76dd8f411098ea110);\n",
+       "            marker_1c0510bd6b713660c8e3e0c320fb953b.setIcon(icon_b0af99ec898ae06dbc85fc92097bc565);\n",
        "        \n",
        "    \n",
-       "        var popup_7b6fa00efe7a6fd85387e52cc4cb0bc2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_932b926556fc92299b5da28a10bd6ce1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_be0d283561a30167e798df832cb994cd = $(`&lt;div id=&quot;html_be0d283561a30167e798df832cb994cd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PaperCut Software Pty Ltd&lt;/b&gt; &lt;br&gt;https://www.papercut.com/kb/Main/CommonSecurityQuestions&lt;/div&gt;`)[0];\n",
-       "                popup_7b6fa00efe7a6fd85387e52cc4cb0bc2.setContent(html_be0d283561a30167e798df832cb994cd);\n",
+       "                var html_d6a333890aebb8496a238afe76af0dc8 = $(`&lt;div id=&quot;html_d6a333890aebb8496a238afe76af0dc8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PaperCut Software Pty Ltd&lt;/b&gt; &lt;br&gt;https://www.papercut.com/kb/Main/CommonSecurityQuestions&lt;/div&gt;`)[0];\n",
+       "                popup_932b926556fc92299b5da28a10bd6ce1.setContent(html_d6a333890aebb8496a238afe76af0dc8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_300f0df155d52f9452a7f6f0a00fff9d.bindPopup(popup_7b6fa00efe7a6fd85387e52cc4cb0bc2)\n",
+       "        marker_1c0510bd6b713660c8e3e0c320fb953b.bindPopup(popup_932b926556fc92299b5da28a10bd6ce1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c84e4984cb4556133d2810ab1d22f7b4 = L.marker(\n",
+       "            var marker_378d7147aebe2a869daf9b25f0230586 = L.marker(\n",
        "                [49.7439047, 15.3381061],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9e7edc409d07c327f599b78071679d5c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_fce035658bd06e7ef482d5d6a14608c4 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c84e4984cb4556133d2810ab1d22f7b4.setIcon(icon_9e7edc409d07c327f599b78071679d5c);\n",
+       "            marker_378d7147aebe2a869daf9b25f0230586.setIcon(icon_fce035658bd06e7ef482d5d6a14608c4);\n",
        "        \n",
        "    \n",
-       "        var popup_61940d62c1228f7275518e84737f64c2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_38f4d265a8760256bcff6fdeaa1b1590 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a9fd50d276102b09bdabe3922a4e9df3 = $(`&lt;div id=&quot;html_a9fd50d276102b09bdabe3922a4e9df3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Wren Security&lt;/b&gt; &lt;br&gt;https://github.com/WrenSecurity/wrenidm/security&lt;/div&gt;`)[0];\n",
-       "                popup_61940d62c1228f7275518e84737f64c2.setContent(html_a9fd50d276102b09bdabe3922a4e9df3);\n",
+       "                var html_36faa7dfb3246764b2a8c36f127d78c4 = $(`&lt;div id=&quot;html_36faa7dfb3246764b2a8c36f127d78c4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Wren Security&lt;/b&gt; &lt;br&gt;https://github.com/WrenSecurity/wrenidm/security&lt;/div&gt;`)[0];\n",
+       "                popup_38f4d265a8760256bcff6fdeaa1b1590.setContent(html_36faa7dfb3246764b2a8c36f127d78c4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c84e4984cb4556133d2810ab1d22f7b4.bindPopup(popup_61940d62c1228f7275518e84737f64c2)\n",
+       "        marker_378d7147aebe2a869daf9b25f0230586.bindPopup(popup_38f4d265a8760256bcff6fdeaa1b1590)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_99945721ed3ee68bdc709f2ec1745862 = L.marker(\n",
+       "            var marker_47aab53eca1d6b645c8be2e814e8622e = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0d69924add82502c529eba03d84d1cb6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_be197ebc5e6f3d7074bafe055259fd01 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_99945721ed3ee68bdc709f2ec1745862.setIcon(icon_0d69924add82502c529eba03d84d1cb6);\n",
+       "            marker_47aab53eca1d6b645c8be2e814e8622e.setIcon(icon_be197ebc5e6f3d7074bafe055259fd01);\n",
        "        \n",
        "    \n",
-       "        var popup_f8d89d39f2ac676c3f5f62b87314bcb9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_82d702866c3045e0f724a52b0d7c1163 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3550e776b740c5b048bd92123ac4da04 = $(`&lt;div id=&quot;html_3550e776b740c5b048bd92123ac4da04&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KCF Technologies, Inc.&lt;/b&gt; &lt;br&gt;https://status.kcftech.com/&lt;/div&gt;`)[0];\n",
-       "                popup_f8d89d39f2ac676c3f5f62b87314bcb9.setContent(html_3550e776b740c5b048bd92123ac4da04);\n",
+       "                var html_bb2f4039a7e765cfecd1abc4cdb9ef4c = $(`&lt;div id=&quot;html_bb2f4039a7e765cfecd1abc4cdb9ef4c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KCF Technologies, Inc.&lt;/b&gt; &lt;br&gt;https://status.kcftech.com/&lt;/div&gt;`)[0];\n",
+       "                popup_82d702866c3045e0f724a52b0d7c1163.setContent(html_bb2f4039a7e765cfecd1abc4cdb9ef4c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_99945721ed3ee68bdc709f2ec1745862.bindPopup(popup_f8d89d39f2ac676c3f5f62b87314bcb9)\n",
+       "        marker_47aab53eca1d6b645c8be2e814e8622e.bindPopup(popup_82d702866c3045e0f724a52b0d7c1163)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_eb309d56c15ef3cee7f37a9a5636d937 = L.marker(\n",
+       "            var marker_0a0b29b2c92523960ddc68726d705f99 = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b5354a24207f122bc6210ce8be8a71f2 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_1f55803eb33a3160b1c0ee7bca6638bd = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_eb309d56c15ef3cee7f37a9a5636d937.setIcon(icon_b5354a24207f122bc6210ce8be8a71f2);\n",
+       "            marker_0a0b29b2c92523960ddc68726d705f99.setIcon(icon_1f55803eb33a3160b1c0ee7bca6638bd);\n",
        "        \n",
        "    \n",
-       "        var popup_dc7a2a3afce91cae522d7ba214cb22e4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ca0912ff67edb9efb9dc9c85177f9875 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ca6944583c2a86412e381770fcc23a39 = $(`&lt;div id=&quot;html_ca6944583c2a86412e381770fcc23a39&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Yokogawa Group&lt;/b&gt; &lt;br&gt;https://www.yokogawa.com/library/resources/white-papers/yokogawa-security-advisory-report-list/&lt;/div&gt;`)[0];\n",
-       "                popup_dc7a2a3afce91cae522d7ba214cb22e4.setContent(html_ca6944583c2a86412e381770fcc23a39);\n",
+       "                var html_9e27dc7319fcbbfc8c713b82b5be6220 = $(`&lt;div id=&quot;html_9e27dc7319fcbbfc8c713b82b5be6220&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Yokogawa Group&lt;/b&gt; &lt;br&gt;https://www.yokogawa.com/library/resources/white-papers/yokogawa-security-advisory-report-list/&lt;/div&gt;`)[0];\n",
+       "                popup_ca0912ff67edb9efb9dc9c85177f9875.setContent(html_9e27dc7319fcbbfc8c713b82b5be6220);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_eb309d56c15ef3cee7f37a9a5636d937.bindPopup(popup_dc7a2a3afce91cae522d7ba214cb22e4)\n",
+       "        marker_0a0b29b2c92523960ddc68726d705f99.bindPopup(popup_ca0912ff67edb9efb9dc9c85177f9875)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_737eba0b4e07b5996c34bc2966440af4 = L.marker(\n",
-       "                [51.566874150000004, 4.928503876146192],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_54e7e25ef3d5670591043616ad817b21 = L.marker(\n",
+       "                [51.56687395, 4.928497182168812],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a84a82d66904fc89fee802bc26391409 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7fd05b4108dbbab3e4662d2de70cdc90 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_737eba0b4e07b5996c34bc2966440af4.setIcon(icon_a84a82d66904fc89fee802bc26391409);\n",
+       "            marker_54e7e25ef3d5670591043616ad817b21.setIcon(icon_7fd05b4108dbbab3e4662d2de70cdc90);\n",
        "        \n",
        "    \n",
-       "        var popup_3b55bb91f705c6c255d5c2541d45fd17 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6f853f7a5ba25e87067be556e81f00d7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_46dee0874daca202d732e20ff2597834 = $(`&lt;div id=&quot;html_46dee0874daca202d732e20ff2597834&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Libreswan Project&lt;/b&gt; &lt;br&gt;https://libreswan.org/security/&lt;/div&gt;`)[0];\n",
-       "                popup_3b55bb91f705c6c255d5c2541d45fd17.setContent(html_46dee0874daca202d732e20ff2597834);\n",
+       "                var html_999bf2bf28cd8a5ed30fc25382ce3d93 = $(`&lt;div id=&quot;html_999bf2bf28cd8a5ed30fc25382ce3d93&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Libreswan Project&lt;/b&gt; &lt;br&gt;https://libreswan.org/security/&lt;/div&gt;`)[0];\n",
+       "                popup_6f853f7a5ba25e87067be556e81f00d7.setContent(html_999bf2bf28cd8a5ed30fc25382ce3d93);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_737eba0b4e07b5996c34bc2966440af4.bindPopup(popup_3b55bb91f705c6c255d5c2541d45fd17)\n",
+       "        marker_54e7e25ef3d5670591043616ad817b21.bindPopup(popup_6f853f7a5ba25e87067be556e81f00d7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ed5f6214a015abec3efed84843aa757a = L.marker(\n",
+       "            var marker_30d3750da8a41d9c154e016ae7b2eb33 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a9edc147bd0ad7bfd1c2d96f9b1bcc85 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d5ff33c9908c52c67a30903ffa7301a7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ed5f6214a015abec3efed84843aa757a.setIcon(icon_a9edc147bd0ad7bfd1c2d96f9b1bcc85);\n",
+       "            marker_30d3750da8a41d9c154e016ae7b2eb33.setIcon(icon_d5ff33c9908c52c67a30903ffa7301a7);\n",
        "        \n",
        "    \n",
-       "        var popup_c4f889453022c06add2b7ea7b1090c64 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d7837e83cf777d4470c5ef5bb63acba0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fcb7a250d2b828940f59d5b43f7dd405 = $(`&lt;div id=&quot;html_fcb7a250d2b828940f59d5b43f7dd405&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Network Optix&lt;/b&gt; &lt;br&gt;https://www.networkoptix.com/blog&lt;/div&gt;`)[0];\n",
-       "                popup_c4f889453022c06add2b7ea7b1090c64.setContent(html_fcb7a250d2b828940f59d5b43f7dd405);\n",
+       "                var html_eccd480f345f0b3c62564bd811111a74 = $(`&lt;div id=&quot;html_eccd480f345f0b3c62564bd811111a74&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Network Optix&lt;/b&gt; &lt;br&gt;https://www.networkoptix.com/blog&lt;/div&gt;`)[0];\n",
+       "                popup_d7837e83cf777d4470c5ef5bb63acba0.setContent(html_eccd480f345f0b3c62564bd811111a74);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ed5f6214a015abec3efed84843aa757a.bindPopup(popup_c4f889453022c06add2b7ea7b1090c64)\n",
+       "        marker_30d3750da8a41d9c154e016ae7b2eb33.bindPopup(popup_d7837e83cf777d4470c5ef5bb63acba0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_388dd5428dd9a65550246453cd90f4c4 = L.marker(\n",
+       "            var marker_25ab08ea10662d6bc9ca4fd98b273668 = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_7cb03128ea7ebc264e0efb0f076c5f26 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_467daaae3255684b42780c0a97e63a53 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_388dd5428dd9a65550246453cd90f4c4.setIcon(icon_7cb03128ea7ebc264e0efb0f076c5f26);\n",
+       "            marker_25ab08ea10662d6bc9ca4fd98b273668.setIcon(icon_467daaae3255684b42780c0a97e63a53);\n",
        "        \n",
        "    \n",
-       "        var popup_44c0fa440c75a1690dc8e821506e7074 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_edbd8229306c42c617922cda2cdea149 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2bc6af6cb1d316f3a846cb8df61c4db5 = $(`&lt;div id=&quot;html_2bc6af6cb1d316f3a846cb8df61c4db5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;DFINITY Foundation&lt;/b&gt; &lt;br&gt;https://internetcomputer.org/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_44c0fa440c75a1690dc8e821506e7074.setContent(html_2bc6af6cb1d316f3a846cb8df61c4db5);\n",
+       "                var html_fab3661587f5e43a60bb9a860ceeb358 = $(`&lt;div id=&quot;html_fab3661587f5e43a60bb9a860ceeb358&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;DFINITY Foundation&lt;/b&gt; &lt;br&gt;https://internetcomputer.org/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_edbd8229306c42c617922cda2cdea149.setContent(html_fab3661587f5e43a60bb9a860ceeb358);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_388dd5428dd9a65550246453cd90f4c4.bindPopup(popup_44c0fa440c75a1690dc8e821506e7074)\n",
+       "        marker_25ab08ea10662d6bc9ca4fd98b273668.bindPopup(popup_edbd8229306c42c617922cda2cdea149)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_86aa2a12895ba2135d00205f25eae2a8 = L.marker(\n",
+       "            var marker_996c9beeac8f883dc0e0092b0a42398d = L.marker(\n",
        "                [47.59397, 14.12456],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5cf55e51828bd4a5d03dda33750ffe11 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_4f26005ae46d945d3ded41355f02df4e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_86aa2a12895ba2135d00205f25eae2a8.setIcon(icon_5cf55e51828bd4a5d03dda33750ffe11);\n",
+       "            marker_996c9beeac8f883dc0e0092b0a42398d.setIcon(icon_4f26005ae46d945d3ded41355f02df4e);\n",
        "        \n",
        "    \n",
-       "        var popup_305fd884bbe95db037dd69dda968364c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_436d90b53c211fbb1a405f07321d226f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d79705cdc9c3a017b22a1b3fa1ee163a = $(`&lt;div id=&quot;html_d79705cdc9c3a017b22a1b3fa1ee163a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SEC Consult Vulnerability Lab&lt;/b&gt; &lt;br&gt;https://sec-consult.com/vulnerability-lab/&lt;/div&gt;`)[0];\n",
-       "                popup_305fd884bbe95db037dd69dda968364c.setContent(html_d79705cdc9c3a017b22a1b3fa1ee163a);\n",
+       "                var html_89afe795dd3dfcc72c2dc20bab92b1e9 = $(`&lt;div id=&quot;html_89afe795dd3dfcc72c2dc20bab92b1e9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SEC Consult Vulnerability Lab&lt;/b&gt; &lt;br&gt;https://sec-consult.com/vulnerability-lab/&lt;/div&gt;`)[0];\n",
+       "                popup_436d90b53c211fbb1a405f07321d226f.setContent(html_89afe795dd3dfcc72c2dc20bab92b1e9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_86aa2a12895ba2135d00205f25eae2a8.bindPopup(popup_305fd884bbe95db037dd69dda968364c)\n",
+       "        marker_996c9beeac8f883dc0e0092b0a42398d.bindPopup(popup_436d90b53c211fbb1a405f07321d226f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c984956cf16e0851cb5a834a7c711da6 = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_ebd9e3600b3a9b619b5ce68fd7a1f613 = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d851333fa18f4926f5ec125ae99adbe2 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6eb8d2f9c8a5bc50c67c0eaa391566d3 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c984956cf16e0851cb5a834a7c711da6.setIcon(icon_d851333fa18f4926f5ec125ae99adbe2);\n",
+       "            marker_ebd9e3600b3a9b619b5ce68fd7a1f613.setIcon(icon_6eb8d2f9c8a5bc50c67c0eaa391566d3);\n",
        "        \n",
        "    \n",
-       "        var popup_869297e4b548734a7ee253ea5333e62d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7bedc924ed990d0a2d28621a9c4d9794 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_8e7030330693c5cb9f9ce5a5d7f6d9bb = $(`&lt;div id=&quot;html_8e7030330693c5cb9f9ce5a5d7f6d9bb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OTORIO LTD.&lt;/b&gt; &lt;br&gt;https://www.otorio.com/vulnerability-disclosure/&lt;/div&gt;`)[0];\n",
-       "                popup_869297e4b548734a7ee253ea5333e62d.setContent(html_8e7030330693c5cb9f9ce5a5d7f6d9bb);\n",
+       "                var html_e1b0e40effeb06ddb2a7285060551413 = $(`&lt;div id=&quot;html_e1b0e40effeb06ddb2a7285060551413&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OTORIO LTD.&lt;/b&gt; &lt;br&gt;https://www.otorio.com/vulnerability-disclosure/&lt;/div&gt;`)[0];\n",
+       "                popup_7bedc924ed990d0a2d28621a9c4d9794.setContent(html_e1b0e40effeb06ddb2a7285060551413);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c984956cf16e0851cb5a834a7c711da6.bindPopup(popup_869297e4b548734a7ee253ea5333e62d)\n",
+       "        marker_ebd9e3600b3a9b619b5ce68fd7a1f613.bindPopup(popup_7bedc924ed990d0a2d28621a9c4d9794)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_925eb4f9250db8da830138bee36b18d9 = L.marker(\n",
+       "            var marker_528a16f0b0f367c942788c61ebec5547 = L.marker(\n",
        "                [61.0666922, -107.991707],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ea93e0b8948941cd5ced0249463eaae7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d7260e32d4d57a11d60eedfce8d14ffe = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_925eb4f9250db8da830138bee36b18d9.setIcon(icon_ea93e0b8948941cd5ced0249463eaae7);\n",
+       "            marker_528a16f0b0f367c942788c61ebec5547.setIcon(icon_d7260e32d4d57a11d60eedfce8d14ffe);\n",
        "        \n",
        "    \n",
-       "        var popup_dc755242ff7aca5ae5c293fb939b474e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2492e9c19dd9558ed35611d9c5edb6d8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_caf90b6c5fa74da8605909238b520cd8 = $(`&lt;div id=&quot;html_caf90b6c5fa74da8605909238b520cd8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Smile CDR Inc. (doing business as “Smile Digital Health”)&lt;/b&gt; &lt;br&gt;https://www.smiledigitalhealth.com/legal/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_dc755242ff7aca5ae5c293fb939b474e.setContent(html_caf90b6c5fa74da8605909238b520cd8);\n",
+       "                var html_8123542fd4022ef4b0c68dfe04829a31 = $(`&lt;div id=&quot;html_8123542fd4022ef4b0c68dfe04829a31&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Smile CDR Inc. (doing business as “Smile Digital Health”)&lt;/b&gt; &lt;br&gt;https://www.smiledigitalhealth.com/legal/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_2492e9c19dd9558ed35611d9c5edb6d8.setContent(html_8123542fd4022ef4b0c68dfe04829a31);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_925eb4f9250db8da830138bee36b18d9.bindPopup(popup_dc755242ff7aca5ae5c293fb939b474e)\n",
+       "        marker_528a16f0b0f367c942788c61ebec5547.bindPopup(popup_2492e9c19dd9558ed35611d9c5edb6d8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ba8ca348c05aa446f17a48c6b50ad708 = L.marker(\n",
+       "            var marker_0eafc772d5e6ddd0041607b6d2ba2764 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ead5889f1f1f3aac5fb72532a167a27c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d48b085fb7b988e50abfbd40d2e6feec = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ba8ca348c05aa446f17a48c6b50ad708.setIcon(icon_ead5889f1f1f3aac5fb72532a167a27c);\n",
+       "            marker_0eafc772d5e6ddd0041607b6d2ba2764.setIcon(icon_d48b085fb7b988e50abfbd40d2e6feec);\n",
        "        \n",
        "    \n",
-       "        var popup_28a44aa4bd850c7eaa4507c6a44c1fe0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d16b58ec75d9b05332bfc727127444d6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6c9ed9180d60389d1aec982c0abf6a47 = $(`&lt;div id=&quot;html_6c9ed9180d60389d1aec982c0abf6a47&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;WSO2 LLC&lt;/b&gt; &lt;br&gt;https://security.docs.wso2.com/en/latest/security-announcements/&lt;/div&gt;`)[0];\n",
-       "                popup_28a44aa4bd850c7eaa4507c6a44c1fe0.setContent(html_6c9ed9180d60389d1aec982c0abf6a47);\n",
+       "                var html_51a15a7f8408ad07dc0c523dff30350a = $(`&lt;div id=&quot;html_51a15a7f8408ad07dc0c523dff30350a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;WSO2 LLC&lt;/b&gt; &lt;br&gt;https://security.docs.wso2.com/en/latest/security-announcements/&lt;/div&gt;`)[0];\n",
+       "                popup_d16b58ec75d9b05332bfc727127444d6.setContent(html_51a15a7f8408ad07dc0c523dff30350a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ba8ca348c05aa446f17a48c6b50ad708.bindPopup(popup_28a44aa4bd850c7eaa4507c6a44c1fe0)\n",
+       "        marker_0eafc772d5e6ddd0041607b6d2ba2764.bindPopup(popup_d16b58ec75d9b05332bfc727127444d6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_040eadccf9e4bf5470099bde2ed0724a = L.marker(\n",
+       "            var marker_ec0c0087c9ed58da44026024f62fab1f = L.marker(\n",
        "                [22.3511148, 78.6677428],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_8f4631450dd757050bcf6fe02debbe76 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e7e8e9866ce377fb52d4ffe44d0d5aa9 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_040eadccf9e4bf5470099bde2ed0724a.setIcon(icon_8f4631450dd757050bcf6fe02debbe76);\n",
+       "            marker_ec0c0087c9ed58da44026024f62fab1f.setIcon(icon_e7e8e9866ce377fb52d4ffe44d0d5aa9);\n",
        "        \n",
        "    \n",
-       "        var popup_878736ac68984d2041486c133d845253 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_5582135b54291fbd1eac3db6a27a53c7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f8543b74dc473baf56f060018bba1b43 = $(`&lt;div id=&quot;html_f8543b74dc473baf56f060018bba1b43&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ARCON Techsolutions Private Limited&lt;/b&gt; &lt;br&gt;https://arconnet.com/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_878736ac68984d2041486c133d845253.setContent(html_f8543b74dc473baf56f060018bba1b43);\n",
+       "                var html_19e4143e2b9043c348926bf7f9c6490b = $(`&lt;div id=&quot;html_19e4143e2b9043c348926bf7f9c6490b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ARCON Techsolutions Private Limited&lt;/b&gt; &lt;br&gt;https://arconnet.com/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_5582135b54291fbd1eac3db6a27a53c7.setContent(html_19e4143e2b9043c348926bf7f9c6490b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_040eadccf9e4bf5470099bde2ed0724a.bindPopup(popup_878736ac68984d2041486c133d845253)\n",
+       "        marker_ec0c0087c9ed58da44026024f62fab1f.bindPopup(popup_5582135b54291fbd1eac3db6a27a53c7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_05820ffcbf7483e127678633d6a591a2 = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_2ff74ccf4d5875bd1b6037357ebb0c86 = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_95510475c0a47835d8abc87c560bb6cf = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cd2298587a4dfaa25e5902f5c0807d7f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_05820ffcbf7483e127678633d6a591a2.setIcon(icon_95510475c0a47835d8abc87c560bb6cf);\n",
+       "            marker_2ff74ccf4d5875bd1b6037357ebb0c86.setIcon(icon_cd2298587a4dfaa25e5902f5c0807d7f);\n",
        "        \n",
        "    \n",
-       "        var popup_28ad802ec75e92d546f37406960b0e8d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_aaa0a5113cf52e18b27543603dec02a2 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fbb696474cd6fcc9b3ec097b28ed2871 = $(`&lt;div id=&quot;html_fbb696474cd6fcc9b3ec097b28ed2871&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Checkmarx&lt;/b&gt; &lt;br&gt;https://advisory.checkmarx.net/&lt;/div&gt;`)[0];\n",
-       "                popup_28ad802ec75e92d546f37406960b0e8d.setContent(html_fbb696474cd6fcc9b3ec097b28ed2871);\n",
+       "                var html_37b3534a7170dc26a1c96ad1841e9c30 = $(`&lt;div id=&quot;html_37b3534a7170dc26a1c96ad1841e9c30&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Checkmarx&lt;/b&gt; &lt;br&gt;https://advisory.checkmarx.net/&lt;/div&gt;`)[0];\n",
+       "                popup_aaa0a5113cf52e18b27543603dec02a2.setContent(html_37b3534a7170dc26a1c96ad1841e9c30);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_05820ffcbf7483e127678633d6a591a2.bindPopup(popup_28ad802ec75e92d546f37406960b0e8d)\n",
+       "        marker_2ff74ccf4d5875bd1b6037357ebb0c86.bindPopup(popup_aaa0a5113cf52e18b27543603dec02a2)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0d61eff7ed8242d2745f91fd096091a2 = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_5138e0de38a74920465c656e10d68350 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ad4569179eb5ccd326f214326a17e234 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7dfe6882ecd3a7980b4f06ae737d7581 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0d61eff7ed8242d2745f91fd096091a2.setIcon(icon_ad4569179eb5ccd326f214326a17e234);\n",
+       "            marker_5138e0de38a74920465c656e10d68350.setIcon(icon_7dfe6882ecd3a7980b4f06ae737d7581);\n",
        "        \n",
        "    \n",
-       "        var popup_4f922d16be606c7a6114c7a3f5665028 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_0aedc681a95dad8aa039fe05152f691d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e95cd566ab5789e4fa2b2670e6775009 = $(`&lt;div id=&quot;html_e95cd566ab5789e4fa2b2670e6775009&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ASR Microelectronics Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.asrmicro.com/en/goods/psirt&lt;/div&gt;`)[0];\n",
-       "                popup_4f922d16be606c7a6114c7a3f5665028.setContent(html_e95cd566ab5789e4fa2b2670e6775009);\n",
+       "                var html_078adb89181a5ca55cb6f2169ef1ef48 = $(`&lt;div id=&quot;html_078adb89181a5ca55cb6f2169ef1ef48&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ASR Microelectronics Co., Ltd.&lt;/b&gt; &lt;br&gt;https://www.asrmicro.com/en/goods/psirt&lt;/div&gt;`)[0];\n",
+       "                popup_0aedc681a95dad8aa039fe05152f691d.setContent(html_078adb89181a5ca55cb6f2169ef1ef48);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0d61eff7ed8242d2745f91fd096091a2.bindPopup(popup_4f922d16be606c7a6114c7a3f5665028)\n",
+       "        marker_5138e0de38a74920465c656e10d68350.bindPopup(popup_0aedc681a95dad8aa039fe05152f691d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_708b0e6301a29cfbedbfcb94b7d6daf4 = L.marker(\n",
+       "            var marker_d3c38fcefc1df43f3e8e38edc8e6c2ba = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d7f85dbaaaba75aeaca0f497a6945f96 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_815f7abb3311e6580d039b783f9a8d2c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_708b0e6301a29cfbedbfcb94b7d6daf4.setIcon(icon_d7f85dbaaaba75aeaca0f497a6945f96);\n",
+       "            marker_d3c38fcefc1df43f3e8e38edc8e6c2ba.setIcon(icon_815f7abb3311e6580d039b783f9a8d2c);\n",
        "        \n",
        "    \n",
-       "        var popup_0f4ea64369b6f104425706aba1b3dd14 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_31c85380e0d6d7c05aa84e705353e358 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5b162e9f07a3a4ec0c09d8d3d347ad5e = $(`&lt;div id=&quot;html_5b162e9f07a3a4ec0c09d8d3d347ad5e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ciena Corporation&lt;/b&gt; &lt;br&gt;https://www.ciena.com/product-security&lt;/div&gt;`)[0];\n",
-       "                popup_0f4ea64369b6f104425706aba1b3dd14.setContent(html_5b162e9f07a3a4ec0c09d8d3d347ad5e);\n",
+       "                var html_0e6745c9e64977f3ba9706a38b7a16c1 = $(`&lt;div id=&quot;html_0e6745c9e64977f3ba9706a38b7a16c1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ciena Corporation&lt;/b&gt; &lt;br&gt;https://www.ciena.com/product-security&lt;/div&gt;`)[0];\n",
+       "                popup_31c85380e0d6d7c05aa84e705353e358.setContent(html_0e6745c9e64977f3ba9706a38b7a16c1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_708b0e6301a29cfbedbfcb94b7d6daf4.bindPopup(popup_0f4ea64369b6f104425706aba1b3dd14)\n",
+       "        marker_d3c38fcefc1df43f3e8e38edc8e6c2ba.bindPopup(popup_31c85380e0d6d7c05aa84e705353e358)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2aa6995fd0fab0b1a7be495d172efd3f = L.marker(\n",
+       "            var marker_b0a910e3451cd6373c6c41e5b390f652 = L.marker(\n",
        "                [22.3511148, 78.6677428],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_89b46ff2abbcf4f60e6e2dab907b1233 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3a39738ff652e09cc931e5a900438808 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2aa6995fd0fab0b1a7be495d172efd3f.setIcon(icon_89b46ff2abbcf4f60e6e2dab907b1233);\n",
+       "            marker_b0a910e3451cd6373c6c41e5b390f652.setIcon(icon_3a39738ff652e09cc931e5a900438808);\n",
        "        \n",
        "    \n",
-       "        var popup_ddabaaf87b286e2656b67f462e3e8c51 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_00751dc8b96d445de80869d3190f2e88 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_91fd704255fe19c199db4b3fd9eb31e6 = $(`&lt;div id=&quot;html_91fd704255fe19c199db4b3fd9eb31e6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ManageEngine&lt;/b&gt; &lt;br&gt;https://www.manageengine.com/security/advisory/&lt;/div&gt;`)[0];\n",
-       "                popup_ddabaaf87b286e2656b67f462e3e8c51.setContent(html_91fd704255fe19c199db4b3fd9eb31e6);\n",
+       "                var html_2127f4503cfb1e1044de712dc4071da2 = $(`&lt;div id=&quot;html_2127f4503cfb1e1044de712dc4071da2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ManageEngine&lt;/b&gt; &lt;br&gt;https://www.manageengine.com/security/advisory/&lt;/div&gt;`)[0];\n",
+       "                popup_00751dc8b96d445de80869d3190f2e88.setContent(html_2127f4503cfb1e1044de712dc4071da2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2aa6995fd0fab0b1a7be495d172efd3f.bindPopup(popup_ddabaaf87b286e2656b67f462e3e8c51)\n",
+       "        marker_b0a910e3451cd6373c6c41e5b390f652.bindPopup(popup_00751dc8b96d445de80869d3190f2e88)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_46a6a634312fa2ba1bef66a5dc14b48d = L.marker(\n",
+       "            var marker_fd747d10135525eaf837e0a52ef0b572 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_48ef626b8cf5fdae80638c70d213e07c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7f2361524fa91ba81c3e5cbe49a9544e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_46a6a634312fa2ba1bef66a5dc14b48d.setIcon(icon_48ef626b8cf5fdae80638c70d213e07c);\n",
+       "            marker_fd747d10135525eaf837e0a52ef0b572.setIcon(icon_7f2361524fa91ba81c3e5cbe49a9544e);\n",
        "        \n",
        "    \n",
-       "        var popup_a28c8d60ce81ab1de54f5b61bae560e6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6fb055d0299b2cf2c526efed21fc8daf = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_63c76f1c1d750f4db665c83d5bcf7522 = $(`&lt;div id=&quot;html_63c76f1c1d750f4db665c83d5bcf7522&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fortra, LLC&lt;/b&gt; &lt;br&gt;https://www.fortra.com/security&lt;/div&gt;`)[0];\n",
-       "                popup_a28c8d60ce81ab1de54f5b61bae560e6.setContent(html_63c76f1c1d750f4db665c83d5bcf7522);\n",
+       "                var html_346a2d298f56a25c88a13dfa3fa55cac = $(`&lt;div id=&quot;html_346a2d298f56a25c88a13dfa3fa55cac&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Fortra, LLC&lt;/b&gt; &lt;br&gt;https://www.fortra.com/security&lt;/div&gt;`)[0];\n",
+       "                popup_6fb055d0299b2cf2c526efed21fc8daf.setContent(html_346a2d298f56a25c88a13dfa3fa55cac);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_46a6a634312fa2ba1bef66a5dc14b48d.bindPopup(popup_a28c8d60ce81ab1de54f5b61bae560e6)\n",
+       "        marker_fd747d10135525eaf837e0a52ef0b572.bindPopup(popup_6fb055d0299b2cf2c526efed21fc8daf)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_68c1689399cfc3f1dbc1b2e45e47eeeb = L.marker(\n",
+       "            var marker_cd99d58e609bda1a6fe5c455c65ea9bb = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_30d6138b7b68809378df41fe9a13aa43 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ceafcdd4fb07b7b33574e1e2aba25e0d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_68c1689399cfc3f1dbc1b2e45e47eeeb.setIcon(icon_30d6138b7b68809378df41fe9a13aa43);\n",
+       "            marker_cd99d58e609bda1a6fe5c455c65ea9bb.setIcon(icon_ceafcdd4fb07b7b33574e1e2aba25e0d);\n",
        "        \n",
        "    \n",
-       "        var popup_d0e2a136f76c79da8808eaaaef842442 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bbbda9e95e9cba69fe32c86f1c0e938f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e0c70a9707c60c0c911de48a4f2b5e99 = $(`&lt;div id=&quot;html_e0c70a9707c60c0c911de48a4f2b5e99&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;EnterpriseDB Corporation&lt;/b&gt; &lt;br&gt;https://www.enterprisedb.com/docs/security/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_d0e2a136f76c79da8808eaaaef842442.setContent(html_e0c70a9707c60c0c911de48a4f2b5e99);\n",
+       "                var html_91890a0b33192ec3a9f4a99cc5e3c59b = $(`&lt;div id=&quot;html_91890a0b33192ec3a9f4a99cc5e3c59b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;EnterpriseDB Corporation&lt;/b&gt; &lt;br&gt;https://www.enterprisedb.com/docs/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_bbbda9e95e9cba69fe32c86f1c0e938f.setContent(html_91890a0b33192ec3a9f4a99cc5e3c59b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_68c1689399cfc3f1dbc1b2e45e47eeeb.bindPopup(popup_d0e2a136f76c79da8808eaaaef842442)\n",
+       "        marker_cd99d58e609bda1a6fe5c455c65ea9bb.bindPopup(popup_bbbda9e95e9cba69fe32c86f1c0e938f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_72e48d00d22a02b666e590d0b3c0fc63 = L.marker(\n",
+       "            var marker_fa6e193d310f620c4bd153279b8ec543 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_c57d7dc06c3f88561ea8491dc48c6032 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_200c969e409e3fa44dcd69db0ef9b1f2 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_72e48d00d22a02b666e590d0b3c0fc63.setIcon(icon_c57d7dc06c3f88561ea8491dc48c6032);\n",
+       "            marker_fa6e193d310f620c4bd153279b8ec543.setIcon(icon_200c969e409e3fa44dcd69db0ef9b1f2);\n",
        "        \n",
        "    \n",
-       "        var popup_e255fa101403cfb4f200d31d5946d3e0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3e05e5ede8014d0a647593be6df8b5b1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_171337f194300ca1dfc279479a1276a5 = $(`&lt;div id=&quot;html_171337f194300ca1dfc279479a1276a5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HiddenLayer, Inc.&lt;/b&gt; &lt;br&gt;https://hiddenlayer.com/research/&lt;/div&gt;`)[0];\n",
-       "                popup_e255fa101403cfb4f200d31d5946d3e0.setContent(html_171337f194300ca1dfc279479a1276a5);\n",
+       "                var html_18f8e65b102d2f35ce96ca4cce6d2e65 = $(`&lt;div id=&quot;html_18f8e65b102d2f35ce96ca4cce6d2e65&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HiddenLayer, Inc.&lt;/b&gt; &lt;br&gt;https://hiddenlayer.com/research/&lt;/div&gt;`)[0];\n",
+       "                popup_3e05e5ede8014d0a647593be6df8b5b1.setContent(html_18f8e65b102d2f35ce96ca4cce6d2e65);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_72e48d00d22a02b666e590d0b3c0fc63.bindPopup(popup_e255fa101403cfb4f200d31d5946d3e0)\n",
+       "        marker_fa6e193d310f620c4bd153279b8ec543.bindPopup(popup_3e05e5ede8014d0a647593be6df8b5b1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_20e23614ed37f2c7bc01daf7b87981cc = L.marker(\n",
+       "            var marker_2620b869a5432e56874e44474052293b = L.marker(\n",
        "                [46.603354, 1.8883335],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0fcd8906d04a30cbad709d66e070f2c4 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_274b6899d769a35ca0e7530010f9ac6e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_20e23614ed37f2c7bc01daf7b87981cc.setIcon(icon_0fcd8906d04a30cbad709d66e070f2c4);\n",
+       "            marker_2620b869a5432e56874e44474052293b.setIcon(icon_274b6899d769a35ca0e7530010f9ac6e);\n",
        "        \n",
        "    \n",
-       "        var popup_455d391e43b1834e77ce87bf094aeb2d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ce3516fe107d0bc9e03f9abc2267f2bd = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7effe73fafc3b0ef284f8795a69a6812 = $(`&lt;div id=&quot;html_7effe73fafc3b0ef284f8795a69a6812&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ARC Informatique&lt;/b&gt; &lt;br&gt;https://www.pcvuesolutions.com/security&lt;/div&gt;`)[0];\n",
-       "                popup_455d391e43b1834e77ce87bf094aeb2d.setContent(html_7effe73fafc3b0ef284f8795a69a6812);\n",
+       "                var html_6cdb4454d9f745c22ff815bbe66313d7 = $(`&lt;div id=&quot;html_6cdb4454d9f745c22ff815bbe66313d7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ARC Informatique&lt;/b&gt; &lt;br&gt;https://www.pcvue.com/security&lt;/div&gt;`)[0];\n",
+       "                popup_ce3516fe107d0bc9e03f9abc2267f2bd.setContent(html_6cdb4454d9f745c22ff815bbe66313d7);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_20e23614ed37f2c7bc01daf7b87981cc.bindPopup(popup_455d391e43b1834e77ce87bf094aeb2d)\n",
+       "        marker_2620b869a5432e56874e44474052293b.bindPopup(popup_ce3516fe107d0bc9e03f9abc2267f2bd)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f676df029fbfb148284155d33679a5f9 = L.marker(\n",
+       "            var marker_f1258c25fc0852cf48e676b44406dc1f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_47dd93c9ff0c5cab616d449e726d3eff = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_53750f80a0fafbba607415b9dd71c2fc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f676df029fbfb148284155d33679a5f9.setIcon(icon_47dd93c9ff0c5cab616d449e726d3eff);\n",
+       "            marker_f1258c25fc0852cf48e676b44406dc1f.setIcon(icon_53750f80a0fafbba607415b9dd71c2fc);\n",
        "        \n",
        "    \n",
-       "        var popup_98fa175b82610ff0fcfee855b85d37d5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_c5d8f91105734dbe260dcf23e6442fa7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0cb04b079b0cd5763aad505a5b3c8526 = $(`&lt;div id=&quot;html_0cb04b079b0cd5763aad505a5b3c8526&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Concrete CMS&lt;/b&gt; &lt;br&gt;https://www.concretecms.org/about/project-news/security&lt;/div&gt;`)[0];\n",
-       "                popup_98fa175b82610ff0fcfee855b85d37d5.setContent(html_0cb04b079b0cd5763aad505a5b3c8526);\n",
+       "                var html_fb62b354d682b33ae7806074b25e0987 = $(`&lt;div id=&quot;html_fb62b354d682b33ae7806074b25e0987&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Concrete CMS&lt;/b&gt; &lt;br&gt;https://www.concretecms.org/about/project-news/security&lt;/div&gt;`)[0];\n",
+       "                popup_c5d8f91105734dbe260dcf23e6442fa7.setContent(html_fb62b354d682b33ae7806074b25e0987);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f676df029fbfb148284155d33679a5f9.bindPopup(popup_98fa175b82610ff0fcfee855b85d37d5)\n",
+       "        marker_f1258c25fc0852cf48e676b44406dc1f.bindPopup(popup_c5d8f91105734dbe260dcf23e6442fa7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e77c32cf30f41d73623355c57d5dbb02 = L.marker(\n",
+       "            var marker_30fd82077d902e1f77eb59a8b0fd48df = L.marker(\n",
        "                [19.0974031, -70.3028026],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1dc46e1028f3a0c09fb090ecdaa9bcd0 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a7494f09bc5ceadecd2f2741aaff5149 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e77c32cf30f41d73623355c57d5dbb02.setIcon(icon_1dc46e1028f3a0c09fb090ecdaa9bcd0);\n",
+       "            marker_30fd82077d902e1f77eb59a8b0fd48df.setIcon(icon_a7494f09bc5ceadecd2f2741aaff5149);\n",
        "        \n",
        "    \n",
-       "        var popup_fee65695e9b2600d8bda2ffb79005259 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_1c9fd85c0d6294db5a5307f04d7cc4b8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_479f3ee78669871bf62f0437b9540533 = $(`&lt;div id=&quot;html_479f3ee78669871bf62f0437b9540533&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pentraze Cybersecurity&lt;/b&gt; &lt;br&gt;https://pentraze.com/vulnerability-reports/&lt;/div&gt;`)[0];\n",
-       "                popup_fee65695e9b2600d8bda2ffb79005259.setContent(html_479f3ee78669871bf62f0437b9540533);\n",
+       "                var html_b41de9dd46bc69517a511ef3a24f2cdd = $(`&lt;div id=&quot;html_b41de9dd46bc69517a511ef3a24f2cdd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pentraze Cybersecurity&lt;/b&gt; &lt;br&gt;https://pentraze.com/vulnerability-reports/&lt;/div&gt;`)[0];\n",
+       "                popup_1c9fd85c0d6294db5a5307f04d7cc4b8.setContent(html_b41de9dd46bc69517a511ef3a24f2cdd);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e77c32cf30f41d73623355c57d5dbb02.bindPopup(popup_fee65695e9b2600d8bda2ffb79005259)\n",
+       "        marker_30fd82077d902e1f77eb59a8b0fd48df.bindPopup(popup_1c9fd85c0d6294db5a5307f04d7cc4b8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7d5dcad1b860740a3b41976191573ea7 = L.marker(\n",
+       "            var marker_a20443c2f6eab3671113cc7bf21bd7ad = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6b02eb5f392f59a462163dbc49a48fd3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_800433f9dc24459961da660995f372ca = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7d5dcad1b860740a3b41976191573ea7.setIcon(icon_6b02eb5f392f59a462163dbc49a48fd3);\n",
+       "            marker_a20443c2f6eab3671113cc7bf21bd7ad.setIcon(icon_800433f9dc24459961da660995f372ca);\n",
        "        \n",
        "    \n",
-       "        var popup_e6052e1e5e40d82c90680e863d7eb3b2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bc23628f72e0ae521c1b56b06a770947 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_40a02afe6df92577e20036c364c040de = $(`&lt;div id=&quot;html_40a02afe6df92577e20036c364c040de&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ELAN Microelectronics Corp.&lt;/b&gt; &lt;br&gt;https://www.emc.com.tw/emc/en/Product/Solution/TouchpadSolutions&lt;/div&gt;`)[0];\n",
-       "                popup_e6052e1e5e40d82c90680e863d7eb3b2.setContent(html_40a02afe6df92577e20036c364c040de);\n",
+       "                var html_72becb9b748dd93f8b3669b0f013497b = $(`&lt;div id=&quot;html_72becb9b748dd93f8b3669b0f013497b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ELAN Microelectronics Corp.&lt;/b&gt; &lt;br&gt;https://www.emc.com.tw/emc/en/Product/Solution/TouchpadSolutions&lt;/div&gt;`)[0];\n",
+       "                popup_bc23628f72e0ae521c1b56b06a770947.setContent(html_72becb9b748dd93f8b3669b0f013497b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7d5dcad1b860740a3b41976191573ea7.bindPopup(popup_e6052e1e5e40d82c90680e863d7eb3b2)\n",
+       "        marker_a20443c2f6eab3671113cc7bf21bd7ad.bindPopup(popup_bc23628f72e0ae521c1b56b06a770947)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f1aec9211a93a89e4ceaf0bc3ef48047 = L.marker(\n",
+       "            var marker_b2d164d13cb4ee02ec1e71c60eeb40b7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0e1256b63d7fa9ae7cff5101a9a2e170 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_02b9fae1b15ba45a5255fbd6842a3480 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f1aec9211a93a89e4ceaf0bc3ef48047.setIcon(icon_0e1256b63d7fa9ae7cff5101a9a2e170);\n",
+       "            marker_b2d164d13cb4ee02ec1e71c60eeb40b7.setIcon(icon_02b9fae1b15ba45a5255fbd6842a3480);\n",
        "        \n",
        "    \n",
-       "        var popup_0679925c5004affe196bfe5632cc1e42 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_480b8e1a240abd3016d75e7a984caf0f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7338b4eb627c80d3454a59db6eb48764 = $(`&lt;div id=&quot;html_7338b4eb627c80d3454a59db6eb48764&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ChromeOS Project&lt;/b&gt; &lt;br&gt;https://chromereleases.googleblog.com/&lt;/div&gt;`)[0];\n",
-       "                popup_0679925c5004affe196bfe5632cc1e42.setContent(html_7338b4eb627c80d3454a59db6eb48764);\n",
+       "                var html_1169b37594cf5d81cfc8d5a5c65b52a4 = $(`&lt;div id=&quot;html_1169b37594cf5d81cfc8d5a5c65b52a4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ChromeOS Project&lt;/b&gt; &lt;br&gt;https://chromereleases.googleblog.com/&lt;/div&gt;`)[0];\n",
+       "                popup_480b8e1a240abd3016d75e7a984caf0f.setContent(html_1169b37594cf5d81cfc8d5a5c65b52a4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f1aec9211a93a89e4ceaf0bc3ef48047.bindPopup(popup_0679925c5004affe196bfe5632cc1e42)\n",
+       "        marker_b2d164d13cb4ee02ec1e71c60eeb40b7.bindPopup(popup_480b8e1a240abd3016d75e7a984caf0f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_562e063318a3de07ee893919764006e0 = L.marker(\n",
+       "            var marker_c40a2519fc944d003d04a9f2f9309b62 = L.marker(\n",
        "                [61.0666922, -107.991707],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_3c1b26a60abf998a6cb4b1f1a7e75bc9 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ebb4b6ebbd93272b0a12fe1fd32764f0 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_562e063318a3de07ee893919764006e0.setIcon(icon_3c1b26a60abf998a6cb4b1f1a7e75bc9);\n",
+       "            marker_c40a2519fc944d003d04a9f2f9309b62.setIcon(icon_ebb4b6ebbd93272b0a12fe1fd32764f0);\n",
        "        \n",
        "    \n",
-       "        var popup_22e8efae44e35ba1479e1965ca8bda64 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_35bd929e83344b36af23dca0600d2396 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_818a2fa0d9a80c30a9f29b8cd04ba1f8 = $(`&lt;div id=&quot;html_818a2fa0d9a80c30a9f29b8cd04ba1f8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PostgreSQL&lt;/b&gt; &lt;br&gt;https://www.postgresql.org/support/security/&lt;/div&gt;`)[0];\n",
-       "                popup_22e8efae44e35ba1479e1965ca8bda64.setContent(html_818a2fa0d9a80c30a9f29b8cd04ba1f8);\n",
+       "                var html_f9eeda35b64b57c3e704f9fc8884a4d4 = $(`&lt;div id=&quot;html_f9eeda35b64b57c3e704f9fc8884a4d4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PostgreSQL&lt;/b&gt; &lt;br&gt;https://www.postgresql.org/support/security/&lt;/div&gt;`)[0];\n",
+       "                popup_35bd929e83344b36af23dca0600d2396.setContent(html_f9eeda35b64b57c3e704f9fc8884a4d4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_562e063318a3de07ee893919764006e0.bindPopup(popup_22e8efae44e35ba1479e1965ca8bda64)\n",
+       "        marker_c40a2519fc944d003d04a9f2f9309b62.bindPopup(popup_35bd929e83344b36af23dca0600d2396)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_abbdd2c709a13d289e0bbaa8be8e49f0 = L.marker(\n",
+       "            var marker_f234e23536c8db473cb7e7a07f22a6ac = L.marker(\n",
        "                [59.6749712, 14.5208584],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cc1a91ad246fd7687936d915c6d9050a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f21d1e0c63003ca2ca18b7316cfe60cd = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_abbdd2c709a13d289e0bbaa8be8e49f0.setIcon(icon_cc1a91ad246fd7687936d915c6d9050a);\n",
+       "            marker_f234e23536c8db473cb7e7a07f22a6ac.setIcon(icon_f21d1e0c63003ca2ca18b7316cfe60cd);\n",
        "        \n",
        "    \n",
-       "        var popup_90755537a79d39f9c03c6b21ae562e7e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_19836ffc7bea4366021f5fdc51251d0d = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_91a3f5c39f7ef52f26b090355b1a3949 = $(`&lt;div id=&quot;html_91a3f5c39f7ef52f26b090355b1a3949&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;curl&lt;/b&gt; &lt;br&gt;https://curl.se/docs/security.html&lt;/div&gt;`)[0];\n",
-       "                popup_90755537a79d39f9c03c6b21ae562e7e.setContent(html_91a3f5c39f7ef52f26b090355b1a3949);\n",
+       "                var html_860e6ef07a21e6515d480a5e0d17de73 = $(`&lt;div id=&quot;html_860e6ef07a21e6515d480a5e0d17de73&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;curl&lt;/b&gt; &lt;br&gt;https://curl.se/docs/security.html&lt;/div&gt;`)[0];\n",
+       "                popup_19836ffc7bea4366021f5fdc51251d0d.setContent(html_860e6ef07a21e6515d480a5e0d17de73);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_abbdd2c709a13d289e0bbaa8be8e49f0.bindPopup(popup_90755537a79d39f9c03c6b21ae562e7e)\n",
+       "        marker_f234e23536c8db473cb7e7a07f22a6ac.bindPopup(popup_19836ffc7bea4366021f5fdc51251d0d)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c71f6d69ad08c71a7bd0df97ec5030ad = L.marker(\n",
+       "            var marker_653a81fb0ae5b5d659e25e6855222116 = L.marker(\n",
        "                [55.670249, 10.3333283],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_10dd16c2656c17c2aa5b136c4c1678c3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_74919f7424c66177828bb650e543b233 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c71f6d69ad08c71a7bd0df97ec5030ad.setIcon(icon_10dd16c2656c17c2aa5b136c4c1678c3);\n",
+       "            marker_653a81fb0ae5b5d659e25e6855222116.setIcon(icon_74919f7424c66177828bb650e543b233);\n",
        "        \n",
        "    \n",
-       "        var popup_33e1bcbe21f2006b7fbb3b4085fc90e6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_19e16ba13b344dc38ebd7d48cdce1851 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_816ac503a6230197b0e71b3fdb311401 = $(`&lt;div id=&quot;html_816ac503a6230197b0e71b3fdb311401&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Milestone Systems A/S&lt;/b&gt; &lt;br&gt;https://www.milestonesys.com/support/help-and-documentation/cyber-security/recent-vulnerabilities/&lt;/div&gt;`)[0];\n",
-       "                popup_33e1bcbe21f2006b7fbb3b4085fc90e6.setContent(html_816ac503a6230197b0e71b3fdb311401);\n",
+       "                var html_26de86002a2a854a83089effb1db7750 = $(`&lt;div id=&quot;html_26de86002a2a854a83089effb1db7750&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Milestone Systems A/S&lt;/b&gt; &lt;br&gt;https://www.milestonesys.com/support/help-and-documentation/cyber-security/recent-vulnerabilities/&lt;/div&gt;`)[0];\n",
+       "                popup_19e16ba13b344dc38ebd7d48cdce1851.setContent(html_26de86002a2a854a83089effb1db7750);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c71f6d69ad08c71a7bd0df97ec5030ad.bindPopup(popup_33e1bcbe21f2006b7fbb3b4085fc90e6)\n",
+       "        marker_653a81fb0ae5b5d659e25e6855222116.bindPopup(popup_19e16ba13b344dc38ebd7d48cdce1851)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_22e631d65985750c8e07cb85f5e2a7ec = L.marker(\n",
+       "            var marker_991668e457226a1631d2e751fae10091 = L.marker(\n",
        "                [38.9953683, 21.9877132],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0bbc5282d5f694badb76a0aec4b5a383 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_72e524dea51fbb8ae866ce1c6c13ba3f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_22e631d65985750c8e07cb85f5e2a7ec.setIcon(icon_0bbc5282d5f694badb76a0aec4b5a383);\n",
+       "            marker_991668e457226a1631d2e751fae10091.setIcon(icon_72e524dea51fbb8ae866ce1c6c13ba3f);\n",
        "        \n",
        "    \n",
-       "        var popup_c1f1f12d9311bfa9b83d58b968e6f92d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8f06ef4943fcf150d5793724fd2c4f38 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9a455af8ea5e96e248289cf8298be3b4 = $(`&lt;div id=&quot;html_9a455af8ea5e96e248289cf8298be3b4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;EU Agency for Cybersecurity (ENISA)&lt;/b&gt; &lt;br&gt;https://github.com/enisaeu/CNW/tree/main/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_c1f1f12d9311bfa9b83d58b968e6f92d.setContent(html_9a455af8ea5e96e248289cf8298be3b4);\n",
+       "                var html_79d8b7b87d3c5df6c7e378a42469f34a = $(`&lt;div id=&quot;html_79d8b7b87d3c5df6c7e378a42469f34a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;EU Agency for Cybersecurity (ENISA)&lt;/b&gt; &lt;br&gt;https://github.com/enisaeu/CNW/tree/main/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_8f06ef4943fcf150d5793724fd2c4f38.setContent(html_79d8b7b87d3c5df6c7e378a42469f34a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_22e631d65985750c8e07cb85f5e2a7ec.bindPopup(popup_c1f1f12d9311bfa9b83d58b968e6f92d)\n",
+       "        marker_991668e457226a1631d2e751fae10091.bindPopup(popup_8f06ef4943fcf150d5793724fd2c4f38)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6c10f950d05a1d2c57e6bf8918ee8bc9 = L.marker(\n",
+       "            var marker_6c8be37c6eaf352532c854cbdc686f37 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_cac7c7f93f8d3eb4398f2633a143e4a5 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3a02d310e902afab2c6b26ec9bdcf256 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6c10f950d05a1d2c57e6bf8918ee8bc9.setIcon(icon_cac7c7f93f8d3eb4398f2633a143e4a5);\n",
+       "            marker_6c8be37c6eaf352532c854cbdc686f37.setIcon(icon_3a02d310e902afab2c6b26ec9bdcf256);\n",
        "        \n",
        "    \n",
-       "        var popup_e407508821d54acf0e51ecc7a72ef738 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a5a0b61fc0c40c2f70dac33890f42314 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_65bb6bb31fc1fc81652e34989a30e1c6 = $(`&lt;div id=&quot;html_65bb6bb31fc1fc81652e34989a30e1c6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Sonatype Inc.&lt;/b&gt; &lt;br&gt;https://support.sonatype.com/hc/en-us/sections/203012668-Security-Advisories&lt;/div&gt;`)[0];\n",
-       "                popup_e407508821d54acf0e51ecc7a72ef738.setContent(html_65bb6bb31fc1fc81652e34989a30e1c6);\n",
+       "                var html_096981040652eb08ae70481da09cafba = $(`&lt;div id=&quot;html_096981040652eb08ae70481da09cafba&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Sonatype Inc.&lt;/b&gt; &lt;br&gt;https://support.sonatype.com/hc/en-us/sections/203012668-Security-Advisories&lt;/div&gt;`)[0];\n",
+       "                popup_a5a0b61fc0c40c2f70dac33890f42314.setContent(html_096981040652eb08ae70481da09cafba);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6c10f950d05a1d2c57e6bf8918ee8bc9.bindPopup(popup_e407508821d54acf0e51ecc7a72ef738)\n",
+       "        marker_6c8be37c6eaf352532c854cbdc686f37.bindPopup(popup_a5a0b61fc0c40c2f70dac33890f42314)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_81552534833b92f842e5f82945cd41c8 = L.marker(\n",
+       "            var marker_e8fa3c092205dd7af67706c0f61c8226 = L.marker(\n",
        "                [59.6749712, 14.5208584],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_16bdfac09a095270b430abbef267b14d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2a769175b0452562429cc6c6ace5cb26 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_81552534833b92f842e5f82945cd41c8.setIcon(icon_16bdfac09a095270b430abbef267b14d);\n",
+       "            marker_e8fa3c092205dd7af67706c0f61c8226.setIcon(icon_2a769175b0452562429cc6c6ace5cb26);\n",
        "        \n",
        "    \n",
-       "        var popup_ba93414e79e5d4c5b2bf0b8c43f50d34 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ad55bacd4928cc9b5e762ad904e51e0a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0c326dd61dcdab6f81d7dd6a0d259ec6 = $(`&lt;div id=&quot;html_0c326dd61dcdab6f81d7dd6a0d259ec6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ericsson&lt;/b&gt; &lt;br&gt;https://www.ericsson.com/en/about-us/security/security-bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_ba93414e79e5d4c5b2bf0b8c43f50d34.setContent(html_0c326dd61dcdab6f81d7dd6a0d259ec6);\n",
+       "                var html_713249f14de5e9f29c8725a2e67acd85 = $(`&lt;div id=&quot;html_713249f14de5e9f29c8725a2e67acd85&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ericsson&lt;/b&gt; &lt;br&gt;https://www.ericsson.com/en/about-us/security/security-bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_ad55bacd4928cc9b5e762ad904e51e0a.setContent(html_713249f14de5e9f29c8725a2e67acd85);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_81552534833b92f842e5f82945cd41c8.bindPopup(popup_ba93414e79e5d4c5b2bf0b8c43f50d34)\n",
+       "        marker_e8fa3c092205dd7af67706c0f61c8226.bindPopup(popup_ad55bacd4928cc9b5e762ad904e51e0a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e691b07fd101a7ec5a5c9bbef13023f5 = L.marker(\n",
+       "            var marker_715d2faeeb87568a40f31a7245471706 = L.marker(\n",
        "                [55.3500003, 23.7499997],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_236a2f517fe15d7bad1b2672d67bbd08 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_d019eb99f1fdc76e6e6ab1eb7de70104 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e691b07fd101a7ec5a5c9bbef13023f5.setIcon(icon_236a2f517fe15d7bad1b2672d67bbd08);\n",
+       "            marker_715d2faeeb87568a40f31a7245471706.setIcon(icon_d019eb99f1fdc76e6e6ab1eb7de70104);\n",
        "        \n",
        "    \n",
-       "        var popup_e74ebe28e6bc7aee1e8508dca07bbdc1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2c0763ff0b888d28f9992a40031aea5a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5f4f456b50eb5e8a05c74d3a1e33f27a = $(`&lt;div id=&quot;html_5f4f456b50eb5e8a05c74d3a1e33f27a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Teltonika Networks&lt;/b&gt; &lt;br&gt;https://teltonika-networks.com/support/security-center&lt;/div&gt;`)[0];\n",
-       "                popup_e74ebe28e6bc7aee1e8508dca07bbdc1.setContent(html_5f4f456b50eb5e8a05c74d3a1e33f27a);\n",
+       "                var html_98e51c8f5e754cb5c6b1c9096ba02cb4 = $(`&lt;div id=&quot;html_98e51c8f5e754cb5c6b1c9096ba02cb4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Teltonika Networks&lt;/b&gt; &lt;br&gt;https://teltonika-networks.com/support/security-center&lt;/div&gt;`)[0];\n",
+       "                popup_2c0763ff0b888d28f9992a40031aea5a.setContent(html_98e51c8f5e754cb5c6b1c9096ba02cb4);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e691b07fd101a7ec5a5c9bbef13023f5.bindPopup(popup_e74ebe28e6bc7aee1e8508dca07bbdc1)\n",
+       "        marker_715d2faeeb87568a40f31a7245471706.bindPopup(popup_2c0763ff0b888d28f9992a40031aea5a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_86983464f7cf8d5c6b54b5535b056e70 = L.marker(\n",
+       "            var marker_c6dda228201665b3757f327122ad4b9e = L.marker(\n",
        "                [36.638392, 127.6961188],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1ce14d5fefeff2473dc5061d6773e00a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9e11834121114e2e69bfc524010f405c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_86983464f7cf8d5c6b54b5535b056e70.setIcon(icon_1ce14d5fefeff2473dc5061d6773e00a);\n",
+       "            marker_c6dda228201665b3757f327122ad4b9e.setIcon(icon_9e11834121114e2e69bfc524010f405c);\n",
        "        \n",
        "    \n",
-       "        var popup_2518bcce84a6909262a1bbc90c1ca752 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_26e1bbaf517c24128d05190cd8cbf687 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9e63a14bbdcb181b62a72cfeaa004409 = $(`&lt;div id=&quot;html_9e63a14bbdcb181b62a72cfeaa004409&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Financial Security Institute (FSI)&lt;/b&gt; &lt;br&gt;https://www.fsec.or.kr/bbs/1010&lt;/div&gt;`)[0];\n",
-       "                popup_2518bcce84a6909262a1bbc90c1ca752.setContent(html_9e63a14bbdcb181b62a72cfeaa004409);\n",
+       "                var html_1f63c974e946255e9d20f0dcdf3b39ad = $(`&lt;div id=&quot;html_1f63c974e946255e9d20f0dcdf3b39ad&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Financial Security Institute (FSI)&lt;/b&gt; &lt;br&gt;https://www.fsec.or.kr/bbs/1010&lt;/div&gt;`)[0];\n",
+       "                popup_26e1bbaf517c24128d05190cd8cbf687.setContent(html_1f63c974e946255e9d20f0dcdf3b39ad);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_86983464f7cf8d5c6b54b5535b056e70.bindPopup(popup_2518bcce84a6909262a1bbc90c1ca752)\n",
+       "        marker_c6dda228201665b3757f327122ad4b9e.bindPopup(popup_26e1bbaf517c24128d05190cd8cbf687)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6c5ab2d02c979251f93b9467252afb0f = L.marker(\n",
+       "            var marker_156ec6e6e813fd731bffa083b681ca7a = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_340ce9209c0cf5961fe0b2fc2a07f04e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3d7298fdf9cb257fc9d82a641f168dc9 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6c5ab2d02c979251f93b9467252afb0f.setIcon(icon_340ce9209c0cf5961fe0b2fc2a07f04e);\n",
+       "            marker_156ec6e6e813fd731bffa083b681ca7a.setIcon(icon_3d7298fdf9cb257fc9d82a641f168dc9);\n",
        "        \n",
        "    \n",
-       "        var popup_f20a75abeeeefef66a5f281cdb8050b4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_dc6b2fcc3d3b7ee377d9f799fc9d433a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ed64de8ffb9335c765149df240d4b4dd = $(`&lt;div id=&quot;html_ed64de8ffb9335c765149df240d4b4dd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GNU C Library&lt;/b&gt; &lt;br&gt;https://sourceware.org/git/?p=glibc.git&lt;/div&gt;`)[0];\n",
-       "                popup_f20a75abeeeefef66a5f281cdb8050b4.setContent(html_ed64de8ffb9335c765149df240d4b4dd);\n",
+       "                var html_8e23ebce2c663e66e2a6f2a37d4d8ab3 = $(`&lt;div id=&quot;html_8e23ebce2c663e66e2a6f2a37d4d8ab3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GNU C Library&lt;/b&gt; &lt;br&gt;https://sourceware.org/git/?p=glibc.git&lt;/div&gt;`)[0];\n",
+       "                popup_dc6b2fcc3d3b7ee377d9f799fc9d433a.setContent(html_8e23ebce2c663e66e2a6f2a37d4d8ab3);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6c5ab2d02c979251f93b9467252afb0f.bindPopup(popup_f20a75abeeeefef66a5f281cdb8050b4)\n",
+       "        marker_156ec6e6e813fd731bffa083b681ca7a.bindPopup(popup_dc6b2fcc3d3b7ee377d9f799fc9d433a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f130b7d09f88b8f76389eb25b0d74c88 = L.marker(\n",
+       "            var marker_c301d125c6d78f1b73e97cf4c3fb7f1f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_b118650364b1466240c526f37be38b2f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8614039374756950346d719a7fe356a1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f130b7d09f88b8f76389eb25b0d74c88.setIcon(icon_b118650364b1466240c526f37be38b2f);\n",
+       "            marker_c301d125c6d78f1b73e97cf4c3fb7f1f.setIcon(icon_8614039374756950346d719a7fe356a1);\n",
        "        \n",
        "    \n",
-       "        var popup_61e6bf6c0c36c27c3dbed3da83088c55 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6c3cbc30b426ad20330026766b365255 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_e0e5d5d70b25ada675b883d45a13dda4 = $(`&lt;div id=&quot;html_e0e5d5d70b25ada675b883d45a13dda4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Teleport&lt;/b&gt; &lt;br&gt;https://github.com/gravitational/teleport/security/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_61e6bf6c0c36c27c3dbed3da83088c55.setContent(html_e0e5d5d70b25ada675b883d45a13dda4);\n",
+       "                var html_f71caa265ff2bde4d3879e402ed99929 = $(`&lt;div id=&quot;html_f71caa265ff2bde4d3879e402ed99929&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Teleport&lt;/b&gt; &lt;br&gt;https://github.com/gravitational/teleport/security/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_6c3cbc30b426ad20330026766b365255.setContent(html_f71caa265ff2bde4d3879e402ed99929);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f130b7d09f88b8f76389eb25b0d74c88.bindPopup(popup_61e6bf6c0c36c27c3dbed3da83088c55)\n",
+       "        marker_c301d125c6d78f1b73e97cf4c3fb7f1f.bindPopup(popup_6c3cbc30b426ad20330026766b365255)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f5dbe1af06e96fd59da424b5f3e59e55 = L.marker(\n",
+       "            var marker_110f7be97a40d36bbf44e220ba2e0670 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_de9f0219fb5f930beda34096d4ec52a0 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_1934208332eaa0126b57774aa52f1b4a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f5dbe1af06e96fd59da424b5f3e59e55.setIcon(icon_de9f0219fb5f930beda34096d4ec52a0);\n",
+       "            marker_110f7be97a40d36bbf44e220ba2e0670.setIcon(icon_1934208332eaa0126b57774aa52f1b4a);\n",
        "        \n",
        "    \n",
-       "        var popup_499bfabe7b5f00011de490648062bff2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_388f35b2437891a5b1a32361c33b7a9a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_9d7dee52c0411f6818c7d079fb087a8b = $(`&lt;div id=&quot;html_9d7dee52c0411f6818c7d079fb087a8b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;BeyondTrust Inc.&lt;/b&gt; &lt;br&gt;https://www.beyondtrust.com/trust-center/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_499bfabe7b5f00011de490648062bff2.setContent(html_9d7dee52c0411f6818c7d079fb087a8b);\n",
+       "                var html_58ce0d91982a0c61d07e726bf3af47a8 = $(`&lt;div id=&quot;html_58ce0d91982a0c61d07e726bf3af47a8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;BeyondTrust Inc.&lt;/b&gt; &lt;br&gt;https://www.beyondtrust.com/trust-center/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_388f35b2437891a5b1a32361c33b7a9a.setContent(html_58ce0d91982a0c61d07e726bf3af47a8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f5dbe1af06e96fd59da424b5f3e59e55.bindPopup(popup_499bfabe7b5f00011de490648062bff2)\n",
+       "        marker_110f7be97a40d36bbf44e220ba2e0670.bindPopup(popup_388f35b2437891a5b1a32361c33b7a9a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ed81a0ac9a9b516ad8b13b46cfab8ddc = L.marker(\n",
+       "            var marker_e3b4eeffa167647a82c848974546033f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ef1e388a79fd2d2ffce9efca64cb5ce1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_768c2fef3d2d5ff6de9476d53dfa62dc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ed81a0ac9a9b516ad8b13b46cfab8ddc.setIcon(icon_ef1e388a79fd2d2ffce9efca64cb5ce1);\n",
+       "            marker_e3b4eeffa167647a82c848974546033f.setIcon(icon_768c2fef3d2d5ff6de9476d53dfa62dc);\n",
        "        \n",
        "    \n",
-       "        var popup_1497c3d5b38c87066cbc44cd84754797 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_11a9afba95cf8f3ec01efecad7584f1c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_966cb41de06d90da6c44bad9e9f9858e = $(`&lt;div id=&quot;html_966cb41de06d90da6c44bad9e9f9858e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;kernel.org&lt;/b&gt; &lt;br&gt;https://lore.kernel.org/linux-cve-announce/&lt;/div&gt;`)[0];\n",
-       "                popup_1497c3d5b38c87066cbc44cd84754797.setContent(html_966cb41de06d90da6c44bad9e9f9858e);\n",
+       "                var html_35208fd7625de5d92e4b59c6f94b2cd9 = $(`&lt;div id=&quot;html_35208fd7625de5d92e4b59c6f94b2cd9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;kernel.org&lt;/b&gt; &lt;br&gt;https://lore.kernel.org/linux-cve-announce/&lt;/div&gt;`)[0];\n",
+       "                popup_11a9afba95cf8f3ec01efecad7584f1c.setContent(html_35208fd7625de5d92e4b59c6f94b2cd9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ed81a0ac9a9b516ad8b13b46cfab8ddc.bindPopup(popup_1497c3d5b38c87066cbc44cd84754797)\n",
+       "        marker_e3b4eeffa167647a82c848974546033f.bindPopup(popup_11a9afba95cf8f3ec01efecad7584f1c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_999b008a7383c2a087651e523dc5196f = L.marker(\n",
+       "            var marker_6db12de2172776480c954347eb6981a2 = L.marker(\n",
        "                [61.0666922, -107.991707],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_66dc6a8f1c405e030088303b05abc184 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2b50156c725390de2099dd3340ed7b74 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_999b008a7383c2a087651e523dc5196f.setIcon(icon_66dc6a8f1c405e030088303b05abc184);\n",
+       "            marker_6db12de2172776480c954347eb6981a2.setIcon(icon_2b50156c725390de2099dd3340ed7b74);\n",
        "        \n",
        "    \n",
-       "        var popup_74febb919fc5c91b620078d7ecb06134 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ae93cd146781542333ab538d77264b7b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d4c21dc03ef7b3ccb0066b660c9c98b0 = $(`&lt;div id=&quot;html_d4c21dc03ef7b3ccb0066b660c9c98b0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;DevCycle&lt;/b&gt; &lt;br&gt;https://github.com/DevCycleHQ/.github/blob/main/.github/SECURITY.md#previous-vulnerabilities-reported&lt;/div&gt;`)[0];\n",
-       "                popup_74febb919fc5c91b620078d7ecb06134.setContent(html_d4c21dc03ef7b3ccb0066b660c9c98b0);\n",
+       "                var html_a44f3f65079be62580831188fe16927f = $(`&lt;div id=&quot;html_a44f3f65079be62580831188fe16927f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;DevCycle&lt;/b&gt; &lt;br&gt;https://github.com/DevCycleHQ/.github/blob/main/.github/SECURITY.md#previous-vulnerabilities-reported&lt;/div&gt;`)[0];\n",
+       "                popup_ae93cd146781542333ab538d77264b7b.setContent(html_a44f3f65079be62580831188fe16927f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_999b008a7383c2a087651e523dc5196f.bindPopup(popup_74febb919fc5c91b620078d7ecb06134)\n",
+       "        marker_6db12de2172776480c954347eb6981a2.bindPopup(popup_ae93cd146781542333ab538d77264b7b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a556142d137353430a0b6e4b2237c67c = L.marker(\n",
+       "            var marker_1d33879e32b0bf870930f56ea6667849 = L.marker(\n",
        "                [-24.7761086, 134.755],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0c901dee3761f3fdf28c32dbf7c0b1b3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_bec2f8aa97dc8c0f812c1594b693b7da = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a556142d137353430a0b6e4b2237c67c.setIcon(icon_0c901dee3761f3fdf28c32dbf7c0b1b3);\n",
+       "            marker_1d33879e32b0bf870930f56ea6667849.setIcon(icon_bec2f8aa97dc8c0f812c1594b693b7da);\n",
        "        \n",
        "    \n",
-       "        var popup_93cb36a45d90d72ba1917876c855d260 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9ccce98b2dbb33251bf95b584594600b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_6e1d7f8490e9e5d606c88137677b7c1e = $(`&lt;div id=&quot;html_6e1d7f8490e9e5d606c88137677b7c1e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;DirectCyber&lt;/b&gt; &lt;br&gt;https://directcyber.com.au/advisory.html&lt;/div&gt;`)[0];\n",
-       "                popup_93cb36a45d90d72ba1917876c855d260.setContent(html_6e1d7f8490e9e5d606c88137677b7c1e);\n",
+       "                var html_77215ad9f340b15609db7f53e9c389cf = $(`&lt;div id=&quot;html_77215ad9f340b15609db7f53e9c389cf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;DirectCyber&lt;/b&gt; &lt;br&gt;https://directcyber.com.au/advisory.html&lt;/div&gt;`)[0];\n",
+       "                popup_9ccce98b2dbb33251bf95b584594600b.setContent(html_77215ad9f340b15609db7f53e9c389cf);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a556142d137353430a0b6e4b2237c67c.bindPopup(popup_93cb36a45d90d72ba1917876c855d260)\n",
+       "        marker_1d33879e32b0bf870930f56ea6667849.bindPopup(popup_9ccce98b2dbb33251bf95b584594600b)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_82e5a1fa5494ca1e18d8e5d04beb663f = L.marker(\n",
+       "            var marker_e03a60047eb43b7ad2ecfdcfa3e74381 = L.marker(\n",
        "                [22.3511148, 78.6677428],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_aa0c1422160f277354340b204990d2c6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_bf436c9074b0df74b5f1df54ae6d3b06 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_82e5a1fa5494ca1e18d8e5d04beb663f.setIcon(icon_aa0c1422160f277354340b204990d2c6);\n",
+       "            marker_e03a60047eb43b7ad2ecfdcfa3e74381.setIcon(icon_bf436c9074b0df74b5f1df54ae6d3b06);\n",
        "        \n",
        "    \n",
-       "        var popup_fc490dc7fe1e57a81939229cb79bd1b9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a212882b343667c822efba31263357ae = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3f667e3eb6a04070cc07a87aa27169d6 = $(`&lt;div id=&quot;html_3f667e3eb6a04070cc07a87aa27169d6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Sec1&lt;/b&gt; &lt;br&gt;https://sec1.io/sec1-security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_fc490dc7fe1e57a81939229cb79bd1b9.setContent(html_3f667e3eb6a04070cc07a87aa27169d6);\n",
+       "                var html_b80afeeebdd46d13ada1363624858a3c = $(`&lt;div id=&quot;html_b80afeeebdd46d13ada1363624858a3c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Sec1&lt;/b&gt; &lt;br&gt;https://sec1.io/sec1-security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_a212882b343667c822efba31263357ae.setContent(html_b80afeeebdd46d13ada1363624858a3c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_82e5a1fa5494ca1e18d8e5d04beb663f.bindPopup(popup_fc490dc7fe1e57a81939229cb79bd1b9)\n",
+       "        marker_e03a60047eb43b7ad2ecfdcfa3e74381.bindPopup(popup_a212882b343667c822efba31263357ae)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_fa9e213c0542996bfe468fb2566df73f = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_fbec2c0fc33247a0c4e68d21441b9f53 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_ffda6f814165a5ac8783eba15b7eda10 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2eca938e12edc92eefa494bc6661e501 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_fa9e213c0542996bfe468fb2566df73f.setIcon(icon_ffda6f814165a5ac8783eba15b7eda10);\n",
+       "            marker_fbec2c0fc33247a0c4e68d21441b9f53.setIcon(icon_2eca938e12edc92eefa494bc6661e501);\n",
        "        \n",
        "    \n",
-       "        var popup_efcfa822569d463fc816832c427aa24b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_431fb1e0b95982001fa7a5dc59e804ae = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_b324a5e5716eeb7a9583b33624058cdc = $(`&lt;div id=&quot;html_b324a5e5716eeb7a9583b33624058cdc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TECNO Mobile Limited&lt;/b&gt; &lt;br&gt;https://security.tecno.com/SRC/blog&lt;/div&gt;`)[0];\n",
-       "                popup_efcfa822569d463fc816832c427aa24b.setContent(html_b324a5e5716eeb7a9583b33624058cdc);\n",
+       "                var html_be1dc3cd69b04c820b36b815b3d70c22 = $(`&lt;div id=&quot;html_be1dc3cd69b04c820b36b815b3d70c22&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TECNO Mobile Limited&lt;/b&gt; &lt;br&gt;https://security.tecno.com/SRC/blog&lt;/div&gt;`)[0];\n",
+       "                popup_431fb1e0b95982001fa7a5dc59e804ae.setContent(html_be1dc3cd69b04c820b36b815b3d70c22);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_fa9e213c0542996bfe468fb2566df73f.bindPopup(popup_efcfa822569d463fc816832c427aa24b)\n",
+       "        marker_fbec2c0fc33247a0c4e68d21441b9f53.bindPopup(popup_431fb1e0b95982001fa7a5dc59e804ae)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3939d8602107d8940503de7b9c5cc4fc = L.marker(\n",
-       "                [35.000074, 104.999927],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_c5e15630ef949862b94a29eeb3c4f377 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_f2f21f1ab9c282fedcc814191463a9c3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5bbf2a6412865c6b55cd6716a736b3d7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3939d8602107d8940503de7b9c5cc4fc.setIcon(icon_f2f21f1ab9c282fedcc814191463a9c3);\n",
+       "            marker_c5e15630ef949862b94a29eeb3c4f377.setIcon(icon_5bbf2a6412865c6b55cd6716a736b3d7);\n",
        "        \n",
        "    \n",
-       "        var popup_d5190f7229a0976e49cfb02a10154d54 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_54d12bbdde68248ce758f0cf36832448 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0c7839c27034b30ede5191892835875f = $(`&lt;div id=&quot;html_0c7839c27034b30ede5191892835875f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SHENZHEN CoolKit Technology CO., LTD.&lt;/b&gt; &lt;br&gt;https://ewelink.cc/security-advisories-and-notices/&lt;/div&gt;`)[0];\n",
-       "                popup_d5190f7229a0976e49cfb02a10154d54.setContent(html_0c7839c27034b30ede5191892835875f);\n",
+       "                var html_ec974fbb039047da918b34673c84c964 = $(`&lt;div id=&quot;html_ec974fbb039047da918b34673c84c964&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SHENZHEN CoolKit Technology CO., LTD.&lt;/b&gt; &lt;br&gt;https://ewelink.cc/security-advisories-and-notices/&lt;/div&gt;`)[0];\n",
+       "                popup_54d12bbdde68248ce758f0cf36832448.setContent(html_ec974fbb039047da918b34673c84c964);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3939d8602107d8940503de7b9c5cc4fc.bindPopup(popup_d5190f7229a0976e49cfb02a10154d54)\n",
+       "        marker_c5e15630ef949862b94a29eeb3c4f377.bindPopup(popup_54d12bbdde68248ce758f0cf36832448)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8a2f9361c71c6e896dbbe3e37e3641d4 = L.marker(\n",
+       "            var marker_5632bc0cf0173bbaf0df7065703ff243 = L.marker(\n",
        "                [36.5748441, 139.2394179],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1a46269640a35b0a92e526b18f86e4f6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_ae954630f556e045a63a7c572e5fc7b5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8a2f9361c71c6e896dbbe3e37e3641d4.setIcon(icon_1a46269640a35b0a92e526b18f86e4f6);\n",
+       "            marker_5632bc0cf0173bbaf0df7065703ff243.setIcon(icon_ae954630f556e045a63a7c572e5fc7b5);\n",
        "        \n",
        "    \n",
-       "        var popup_0f4103b0b8a03a31afb6be2224847867 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_25c0eec75667b769a14b922674177b94 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0cb4b581c3b682f3b6d82c3b0b532b98 = $(`&lt;div id=&quot;html_0cb4b581c3b682f3b6d82c3b0b532b98&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenAM Consortium&lt;/b&gt; &lt;br&gt;https://openam-jp.github.io/Advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_0f4103b0b8a03a31afb6be2224847867.setContent(html_0cb4b581c3b682f3b6d82c3b0b532b98);\n",
+       "                var html_0bbfb2cf1b84b7f7a432a987c565a69d = $(`&lt;div id=&quot;html_0bbfb2cf1b84b7f7a432a987c565a69d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenAM Consortium&lt;/b&gt; &lt;br&gt;https://openam-jp.github.io/Advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_25c0eec75667b769a14b922674177b94.setContent(html_0bbfb2cf1b84b7f7a432a987c565a69d);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8a2f9361c71c6e896dbbe3e37e3641d4.bindPopup(popup_0f4103b0b8a03a31afb6be2224847867)\n",
+       "        marker_5632bc0cf0173bbaf0df7065703ff243.bindPopup(popup_25c0eec75667b769a14b922674177b94)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_a257182f29b50ac63a1b5e07bb80990d = L.marker(\n",
+       "            var marker_1276a931d8c34d5d33e7592ca47c2458 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_e77471fb87a28c5a4c50d3ecca515ac6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_40c834bf16140843fe93f9678c869f0e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_a257182f29b50ac63a1b5e07bb80990d.setIcon(icon_e77471fb87a28c5a4c50d3ecca515ac6);\n",
+       "            marker_1276a931d8c34d5d33e7592ca47c2458.setIcon(icon_40c834bf16140843fe93f9678c869f0e);\n",
        "        \n",
        "    \n",
-       "        var popup_5973d52843a9d22c2210394185754136 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a5cc392c34e985da3d6e427af5597097 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_a0aeb0282338322e4cc4043ca4a56fd9 = $(`&lt;div id=&quot;html_a0aeb0282338322e4cc4043ca4a56fd9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;rami.io GmbH&lt;/b&gt; &lt;br&gt;https://rami.io/security/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_5973d52843a9d22c2210394185754136.setContent(html_a0aeb0282338322e4cc4043ca4a56fd9);\n",
+       "                var html_3f414f751e9e5b5713836f4c24f2346e = $(`&lt;div id=&quot;html_3f414f751e9e5b5713836f4c24f2346e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;rami.io GmbH&lt;/b&gt; &lt;br&gt;https://rami.io/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_a5cc392c34e985da3d6e427af5597097.setContent(html_3f414f751e9e5b5713836f4c24f2346e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_a257182f29b50ac63a1b5e07bb80990d.bindPopup(popup_5973d52843a9d22c2210394185754136)\n",
+       "        marker_1276a931d8c34d5d33e7592ca47c2458.bindPopup(popup_a5cc392c34e985da3d6e427af5597097)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_131586c4415efffc712195e4a718ba86 = L.marker(\n",
+       "            var marker_ef1d6f10687e01a09baca42cd81faa05 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a6262905f1b51d6f54274ae5d301a717 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a25e3b42be604d41efbc0132bbe4f1dc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_131586c4415efffc712195e4a718ba86.setIcon(icon_a6262905f1b51d6f54274ae5d301a717);\n",
+       "            marker_ef1d6f10687e01a09baca42cd81faa05.setIcon(icon_a25e3b42be604d41efbc0132bbe4f1dc);\n",
        "        \n",
        "    \n",
-       "        var popup_379ca69cc5ef1f6fda717b88400ba0b7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3c4b551b59e05161a8170cfdc0198eca = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_42c1c8449fa0c0688ba883860579ee23 = $(`&lt;div id=&quot;html_42c1c8449fa0c0688ba883860579ee23&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dremio Corporation&lt;/b&gt; &lt;br&gt;https://docs.dremio.com/current/reference/bulletins/&lt;/div&gt;`)[0];\n",
-       "                popup_379ca69cc5ef1f6fda717b88400ba0b7.setContent(html_42c1c8449fa0c0688ba883860579ee23);\n",
+       "                var html_712fbe2a22498d34d985cb4ff818e694 = $(`&lt;div id=&quot;html_712fbe2a22498d34d985cb4ff818e694&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Dremio Corporation&lt;/b&gt; &lt;br&gt;https://docs.dremio.com/current/reference/bulletins/&lt;/div&gt;`)[0];\n",
+       "                popup_3c4b551b59e05161a8170cfdc0198eca.setContent(html_712fbe2a22498d34d985cb4ff818e694);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_131586c4415efffc712195e4a718ba86.bindPopup(popup_379ca69cc5ef1f6fda717b88400ba0b7)\n",
+       "        marker_ef1d6f10687e01a09baca42cd81faa05.bindPopup(popup_3c4b551b59e05161a8170cfdc0198eca)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_def068e98772ea9d04ea43f603298c4e = L.marker(\n",
+       "            var marker_3c68865595aa302ad531a2b73e7e148a = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_dbd328eb11bc429325dd2639b2109a05 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_de8f417b179a01a1349353f8100deaaa = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_def068e98772ea9d04ea43f603298c4e.setIcon(icon_dbd328eb11bc429325dd2639b2109a05);\n",
+       "            marker_3c68865595aa302ad531a2b73e7e148a.setIcon(icon_de8f417b179a01a1349353f8100deaaa);\n",
        "        \n",
        "    \n",
-       "        var popup_350610b356b2fc9271921788ba65300e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_b461ae739c471a3f85c4ab2b01a741a1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c74eabddf70f0914bc90b43139f71ff9 = $(`&lt;div id=&quot;html_c74eabddf70f0914bc90b43139f71ff9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Jamf&lt;/b&gt; &lt;br&gt;https://learn.jamf.com/en-US/bundle/jamf-pro-release-notes-current/page/Resolved_Issues.html&lt;/div&gt;`)[0];\n",
-       "                popup_350610b356b2fc9271921788ba65300e.setContent(html_c74eabddf70f0914bc90b43139f71ff9);\n",
+       "                var html_21e01400bf5522d270a327f6282278f1 = $(`&lt;div id=&quot;html_21e01400bf5522d270a327f6282278f1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Jamf&lt;/b&gt; &lt;br&gt;https://learn.jamf.com/en-US/bundle/jamf-pro-release-notes-current/page/Resolved_Issues.html&lt;/div&gt;`)[0];\n",
+       "                popup_b461ae739c471a3f85c4ab2b01a741a1.setContent(html_21e01400bf5522d270a327f6282278f1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_def068e98772ea9d04ea43f603298c4e.bindPopup(popup_350610b356b2fc9271921788ba65300e)\n",
+       "        marker_3c68865595aa302ad531a2b73e7e148a.bindPopup(popup_b461ae739c471a3f85c4ab2b01a741a1)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_41ee05ff2a70ce981add0c73614a3375 = L.marker(\n",
+       "            var marker_5ea26b5ceee6fb28512a85cb5e4d3bf5 = L.marker(\n",
        "                [39.3260685, -4.8379791],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d8710b4a796858e06d67512ab6ce0e6e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b63cb5d384c9046e339711bec359b54f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_41ee05ff2a70ce981add0c73614a3375.setIcon(icon_d8710b4a796858e06d67512ab6ce0e6e);\n",
+       "            marker_5ea26b5ceee6fb28512a85cb5e4d3bf5.setIcon(icon_b63cb5d384c9046e339711bec359b54f);\n",
        "        \n",
        "    \n",
-       "        var popup_e1b003a317ba9d091aa625536a876598 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_4a97b2f6910edcb5cd335158841d13af = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_85f43a6f7ed2f3e0eef2e839e5f6fea2 = $(`&lt;div id=&quot;html_85f43a6f7ed2f3e0eef2e839e5f6fea2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Edgewatch Security Intelligence&lt;/b&gt; &lt;br&gt;https://edgewatch.com/vulnerability-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_e1b003a317ba9d091aa625536a876598.setContent(html_85f43a6f7ed2f3e0eef2e839e5f6fea2);\n",
+       "                var html_214f95447f6b72d910158d394ba67a2a = $(`&lt;div id=&quot;html_214f95447f6b72d910158d394ba67a2a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Edgewatch Security Intelligence&lt;/b&gt; &lt;br&gt;https://edgewatch.com/vulnerability-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_4a97b2f6910edcb5cd335158841d13af.setContent(html_214f95447f6b72d910158d394ba67a2a);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_41ee05ff2a70ce981add0c73614a3375.bindPopup(popup_e1b003a317ba9d091aa625536a876598)\n",
+       "        marker_5ea26b5ceee6fb28512a85cb5e4d3bf5.bindPopup(popup_4a97b2f6910edcb5cd335158841d13af)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_08a0f68537647643fdc3d71cb7e17d22 = L.marker(\n",
+       "            var marker_beb4b9094ddae431ece6a93a5d94a527 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_de9a3c22a3e67a5e727b5966f45f06be = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3d773f55ea618d3a783d6a5b144f6744 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_08a0f68537647643fdc3d71cb7e17d22.setIcon(icon_de9a3c22a3e67a5e727b5966f45f06be);\n",
+       "            marker_beb4b9094ddae431ece6a93a5d94a527.setIcon(icon_3d773f55ea618d3a783d6a5b144f6744);\n",
        "        \n",
        "    \n",
-       "        var popup_525ed0a692cae4e6cc8431bf359dec60 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_50529df71848643ace1e8df8daba360a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_66c8472d2095101019159e195bbde3f2 = $(`&lt;div id=&quot;html_66c8472d2095101019159e195bbde3f2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;cirosec GmbH&lt;/b&gt; &lt;br&gt;https://cirosec.de/en/blog/#vulnerabilities&lt;/div&gt;`)[0];\n",
-       "                popup_525ed0a692cae4e6cc8431bf359dec60.setContent(html_66c8472d2095101019159e195bbde3f2);\n",
+       "                var html_6bfb5e88f8229f6de76dbda36c6a0847 = $(`&lt;div id=&quot;html_6bfb5e88f8229f6de76dbda36c6a0847&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;cirosec GmbH&lt;/b&gt; &lt;br&gt;https://cirosec.de/en/blog/#vulnerabilities&lt;/div&gt;`)[0];\n",
+       "                popup_50529df71848643ace1e8df8daba360a.setContent(html_6bfb5e88f8229f6de76dbda36c6a0847);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_08a0f68537647643fdc3d71cb7e17d22.bindPopup(popup_525ed0a692cae4e6cc8431bf359dec60)\n",
+       "        marker_beb4b9094ddae431ece6a93a5d94a527.bindPopup(popup_50529df71848643ace1e8df8daba360a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2dfd3719439d868292fe95178361aa72 = L.marker(\n",
+       "            var marker_96a8c40767688b570558e3cfb2ac1608 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a32c64b835cfcd706b2dd9becd5a4b23 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_75e4436932690fb92ef057a376c0063a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2dfd3719439d868292fe95178361aa72.setIcon(icon_a32c64b835cfcd706b2dd9becd5a4b23);\n",
+       "            marker_96a8c40767688b570558e3cfb2ac1608.setIcon(icon_75e4436932690fb92ef057a376c0063a);\n",
        "        \n",
        "    \n",
-       "        var popup_925004acf297beb5cb199d056cdb485b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9bc6f864fd2422c1d9d353116ce85f7f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_5533b22d46d39c219200c0d0efed127f = $(`&lt;div id=&quot;html_5533b22d46d39c219200c0d0efed127f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Microchip Technology&lt;/b&gt; &lt;br&gt;https://microchip.com/psirt&lt;/div&gt;`)[0];\n",
-       "                popup_925004acf297beb5cb199d056cdb485b.setContent(html_5533b22d46d39c219200c0d0efed127f);\n",
+       "                var html_0ba440dfad488b73568b6cac56881245 = $(`&lt;div id=&quot;html_0ba440dfad488b73568b6cac56881245&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Microchip Technology&lt;/b&gt; &lt;br&gt;https://microchip.com/psirt&lt;/div&gt;`)[0];\n",
+       "                popup_9bc6f864fd2422c1d9d353116ce85f7f.setContent(html_0ba440dfad488b73568b6cac56881245);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2dfd3719439d868292fe95178361aa72.bindPopup(popup_925004acf297beb5cb199d056cdb485b)\n",
+       "        marker_96a8c40767688b570558e3cfb2ac1608.bindPopup(popup_9bc6f864fd2422c1d9d353116ce85f7f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_77bfabe809ba2133a0051f89b16123a4 = L.marker(\n",
+       "            var marker_bc6259fb70596a7387a7562dce9e601b = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9d04b8abc4fbc65d64f0de086fb0f5d5 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_0cad6be97866cc890d80ab193494e14b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_77bfabe809ba2133a0051f89b16123a4.setIcon(icon_9d04b8abc4fbc65d64f0de086fb0f5d5);\n",
+       "            marker_bc6259fb70596a7387a7562dce9e601b.setIcon(icon_0cad6be97866cc890d80ab193494e14b);\n",
        "        \n",
        "    \n",
-       "        var popup_e28731c5e68fdc36872f1734ff841e81 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2ff92c7a295b3b915b159641d9637918 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_86e32883ddb45ab28a4f2c154eb59f9c = $(`&lt;div id=&quot;html_86e32883ddb45ab28a4f2c154eb59f9c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Tego Cyber, Inc.&lt;/b&gt; &lt;br&gt;https://tegocyber.com/security/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_e28731c5e68fdc36872f1734ff841e81.setContent(html_86e32883ddb45ab28a4f2c154eb59f9c);\n",
+       "                var html_9bc3854ff8dd6cb42c3b371a80607d6b = $(`&lt;div id=&quot;html_9bc3854ff8dd6cb42c3b371a80607d6b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Tego Cyber, Inc.&lt;/b&gt; &lt;br&gt;https://tegocyber.com/security/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_2ff92c7a295b3b915b159641d9637918.setContent(html_9bc3854ff8dd6cb42c3b371a80607d6b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_77bfabe809ba2133a0051f89b16123a4.bindPopup(popup_e28731c5e68fdc36872f1734ff841e81)\n",
+       "        marker_bc6259fb70596a7387a7562dce9e601b.bindPopup(popup_2ff92c7a295b3b915b159641d9637918)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_52e591cc52b38cec187fb6a560f1762f = L.marker(\n",
+       "            var marker_e5f6fdc8a0c67c544cb0d9ea345fdc74 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5dd6720a086210cf4614579927cfc3e3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e934fbc2bdaba306a587792ab61c22df = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_52e591cc52b38cec187fb6a560f1762f.setIcon(icon_5dd6720a086210cf4614579927cfc3e3);\n",
+       "            marker_e5f6fdc8a0c67c544cb0d9ea345fdc74.setIcon(icon_e934fbc2bdaba306a587792ab61c22df);\n",
        "        \n",
        "    \n",
-       "        var popup_68aebe813d83906ba224c4e3c47fee39 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7cf5a73bf40e9d6ecda97c1005ca30e7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_664f76171c6decd5a74e02f44915f8b3 = $(`&lt;div id=&quot;html_664f76171c6decd5a74e02f44915f8b3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;N-able&lt;/b&gt; &lt;br&gt;https://me.n-able.com/s/global-search/%40uri#t=All&amp;amp&lt;/div&gt;`)[0];\n",
-       "                popup_68aebe813d83906ba224c4e3c47fee39.setContent(html_664f76171c6decd5a74e02f44915f8b3);\n",
+       "                var html_475f183c5cf385708416ab2bb4bb7151 = $(`&lt;div id=&quot;html_475f183c5cf385708416ab2bb4bb7151&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;N-able&lt;/b&gt; &lt;br&gt;https://me.n-able.com/s/global-search/%40uri#t=All&amp;amp&lt;/div&gt;`)[0];\n",
+       "                popup_7cf5a73bf40e9d6ecda97c1005ca30e7.setContent(html_475f183c5cf385708416ab2bb4bb7151);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_52e591cc52b38cec187fb6a560f1762f.bindPopup(popup_68aebe813d83906ba224c4e3c47fee39)\n",
+       "        marker_e5f6fdc8a0c67c544cb0d9ea345fdc74.bindPopup(popup_7cf5a73bf40e9d6ecda97c1005ca30e7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4ec095c5489ab2a1c945f163be04cbf9 = L.marker(\n",
+       "            var marker_de7eb32df7828ee4e9534df63afbe7ae = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_906e9917126456cd856b04e76e0da014 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_2909fabbe7be9b909f4a81296ad3da99 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4ec095c5489ab2a1c945f163be04cbf9.setIcon(icon_906e9917126456cd856b04e76e0da014);\n",
+       "            marker_de7eb32df7828ee4e9534df63afbe7ae.setIcon(icon_2909fabbe7be9b909f4a81296ad3da99);\n",
        "        \n",
        "    \n",
-       "        var popup_40cbf97834fa3a21a4c02f58b8cc1ea8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_13fe88e7d322228b9115d26e4d9be34f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_94c89adc451d188343c3ac98c7122a1d = $(`&lt;div id=&quot;html_94c89adc451d188343c3ac98c7122a1d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenSource Security GmbH&lt;/b&gt; &lt;br&gt;https://os-s.net/en/publications/&lt;/div&gt;`)[0];\n",
-       "                popup_40cbf97834fa3a21a4c02f58b8cc1ea8.setContent(html_94c89adc451d188343c3ac98c7122a1d);\n",
+       "                var html_d1d4b5ae62a01c35a88f61a5854ee28c = $(`&lt;div id=&quot;html_d1d4b5ae62a01c35a88f61a5854ee28c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OpenSource Security GmbH&lt;/b&gt; &lt;br&gt;https://os-s.net/en/publications/&lt;/div&gt;`)[0];\n",
+       "                popup_13fe88e7d322228b9115d26e4d9be34f.setContent(html_d1d4b5ae62a01c35a88f61a5854ee28c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4ec095c5489ab2a1c945f163be04cbf9.bindPopup(popup_40cbf97834fa3a21a4c02f58b8cc1ea8)\n",
+       "        marker_de7eb32df7828ee4e9534df63afbe7ae.bindPopup(popup_13fe88e7d322228b9115d26e4d9be34f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7c1df2b910d1bf3caa7d0978ee6607f0 = L.marker(\n",
+       "            var marker_e844fd47f872c779d47d067007c0bcfc = L.marker(\n",
        "                [23.5983227, 120.83537694479215],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_df85b798e85473c0214cf82a45ecc301 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_94567ff4e628034bfc3ead8313c09c3d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7c1df2b910d1bf3caa7d0978ee6607f0.setIcon(icon_df85b798e85473c0214cf82a45ecc301);\n",
+       "            marker_e844fd47f872c779d47d067007c0bcfc.setIcon(icon_94567ff4e628034bfc3ead8313c09c3d);\n",
        "        \n",
        "    \n",
-       "        var popup_c720e265a11183faf8fd5e1891e24b17 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_edcbcf90c36328df62ba7b4052564811 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2f2833059c0e7ee298c93ea1ad206735 = $(`&lt;div id=&quot;html_2f2833059c0e7ee298c93ea1ad206735&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TXOne Networks, Inc.&lt;/b&gt; &lt;br&gt;https://www.txone.com/psirt/advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_c720e265a11183faf8fd5e1891e24b17.setContent(html_2f2833059c0e7ee298c93ea1ad206735);\n",
+       "                var html_39609afaf0af6ec50611fbe35d739ed8 = $(`&lt;div id=&quot;html_39609afaf0af6ec50611fbe35d739ed8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;TXOne Networks, Inc.&lt;/b&gt; &lt;br&gt;https://www.txone.com/psirt/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_edcbcf90c36328df62ba7b4052564811.setContent(html_39609afaf0af6ec50611fbe35d739ed8);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7c1df2b910d1bf3caa7d0978ee6607f0.bindPopup(popup_c720e265a11183faf8fd5e1891e24b17)\n",
+       "        marker_e844fd47f872c779d47d067007c0bcfc.bindPopup(popup_edcbcf90c36328df62ba7b4052564811)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8dc1a130dda598a88e46e3a1a34f5e6d = L.marker(\n",
+       "            var marker_f0903354450ffd3a0fc96052a77384a6 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_08b5152957ab83c07dc66eddc2744bd2 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_c8f058eb1ed4f88e6d1cdfc08da0c3cf = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8dc1a130dda598a88e46e3a1a34f5e6d.setIcon(icon_08b5152957ab83c07dc66eddc2744bd2);\n",
+       "            marker_f0903354450ffd3a0fc96052a77384a6.setIcon(icon_c8f058eb1ed4f88e6d1cdfc08da0c3cf);\n",
        "        \n",
        "    \n",
-       "        var popup_d4fbbb7c5c92983f105e2ec9e94e6e2e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2b069ec3a4184d1df827667361e8c022 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_56ec6f30cac4674f1543ec8e14aa42ee = $(`&lt;div id=&quot;html_56ec6f30cac4674f1543ec8e14aa42ee&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SCIEX&lt;/b&gt; &lt;br&gt;https://sciex.com/support/product-security/known-vulnerabilities&lt;/div&gt;`)[0];\n",
-       "                popup_d4fbbb7c5c92983f105e2ec9e94e6e2e.setContent(html_56ec6f30cac4674f1543ec8e14aa42ee);\n",
+       "                var html_09d9f315bcf3681d7676527407cd93fe = $(`&lt;div id=&quot;html_09d9f315bcf3681d7676527407cd93fe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SCIEX&lt;/b&gt; &lt;br&gt;https://sciex.com/support/product-security/known-vulnerabilities&lt;/div&gt;`)[0];\n",
+       "                popup_2b069ec3a4184d1df827667361e8c022.setContent(html_09d9f315bcf3681d7676527407cd93fe);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8dc1a130dda598a88e46e3a1a34f5e6d.bindPopup(popup_d4fbbb7c5c92983f105e2ec9e94e6e2e)\n",
+       "        marker_f0903354450ffd3a0fc96052a77384a6.bindPopup(popup_2b069ec3a4184d1df827667361e8c022)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_7815795414e2ef95ea4625b9755a2604 = L.marker(\n",
+       "            var marker_f4c491e5e946107bd01551e3a153f540 = L.marker(\n",
        "                [51.1638175, 10.4478313],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_d6211ebd1b975c9b9fbfa6a069716a39 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_246bb6d693099af3e5f818c07c07b636 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_7815795414e2ef95ea4625b9755a2604.setIcon(icon_d6211ebd1b975c9b9fbfa6a069716a39);\n",
+       "            marker_f4c491e5e946107bd01551e3a153f540.setIcon(icon_246bb6d693099af3e5f818c07c07b636);\n",
        "        \n",
        "    \n",
-       "        var popup_7cdc6230425f90c000b29ab4677596e0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_044d36ca4cb5d920b5b39f40da2c4367 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_852d6d214afddaf3de552c332710a391 = $(`&lt;div id=&quot;html_852d6d214afddaf3de552c332710a391&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Leica Microsystems&lt;/b&gt; &lt;br&gt;https://www.leica-microsystems.com/company/product-security/product-security-updates/&lt;/div&gt;`)[0];\n",
-       "                popup_7cdc6230425f90c000b29ab4677596e0.setContent(html_852d6d214afddaf3de552c332710a391);\n",
+       "                var html_97c3adb3cc58d03815fcc03dcae654a5 = $(`&lt;div id=&quot;html_97c3adb3cc58d03815fcc03dcae654a5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Leica Microsystems&lt;/b&gt; &lt;br&gt;https://www.leica-microsystems.com/company/product-security/product-security-updates/&lt;/div&gt;`)[0];\n",
+       "                popup_044d36ca4cb5d920b5b39f40da2c4367.setContent(html_97c3adb3cc58d03815fcc03dcae654a5);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_7815795414e2ef95ea4625b9755a2604.bindPopup(popup_7cdc6230425f90c000b29ab4677596e0)\n",
+       "        marker_f4c491e5e946107bd01551e3a153f540.bindPopup(popup_044d36ca4cb5d920b5b39f40da2c4367)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_8690449695b772c0de1eb44c39a2e165 = L.marker(\n",
+       "            var marker_adb68d598eb10e0403b371e1b5b772f3 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_89e31ca07a2798439d6ffaf60d208877 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f527ec4e481d9eb98bae864053993a3c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_8690449695b772c0de1eb44c39a2e165.setIcon(icon_89e31ca07a2798439d6ffaf60d208877);\n",
+       "            marker_adb68d598eb10e0403b371e1b5b772f3.setIcon(icon_f527ec4e481d9eb98bae864053993a3c);\n",
        "        \n",
        "    \n",
-       "        var popup_1fe91f48e2b7d3acdec49a02b27a409c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d7e961e1e3ca39afaae640b6f5a53f81 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_f329c4e2be1e3a1957de9b6bf86a8732 = $(`&lt;div id=&quot;html_f329c4e2be1e3a1957de9b6bf86a8732&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VotingWorks&lt;/b&gt; &lt;br&gt;https://github.com/votingworks/vxsuite/security/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_1fe91f48e2b7d3acdec49a02b27a409c.setContent(html_f329c4e2be1e3a1957de9b6bf86a8732);\n",
+       "                var html_de168ead1963441064aecea88faef04f = $(`&lt;div id=&quot;html_de168ead1963441064aecea88faef04f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;VotingWorks&lt;/b&gt; &lt;br&gt;https://github.com/votingworks/vxsuite/security/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_d7e961e1e3ca39afaae640b6f5a53f81.setContent(html_de168ead1963441064aecea88faef04f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_8690449695b772c0de1eb44c39a2e165.bindPopup(popup_1fe91f48e2b7d3acdec49a02b27a409c)\n",
+       "        marker_adb68d598eb10e0403b371e1b5b772f3.bindPopup(popup_d7e961e1e3ca39afaae640b6f5a53f81)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_58e204d507745cc52d5884b088996315 = L.marker(\n",
+       "            var marker_225a6652a8944b9fc151523d94d48df9 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_bbd547ec472f01a2c228f2319536938c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_b405e0a8353e596d494ba058519049da = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_58e204d507745cc52d5884b088996315.setIcon(icon_bbd547ec472f01a2c228f2319536938c);\n",
+       "            marker_225a6652a8944b9fc151523d94d48df9.setIcon(icon_b405e0a8353e596d494ba058519049da);\n",
        "        \n",
        "    \n",
-       "        var popup_ec74052de2017ec44a08a1fe6b9705a9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_29da9cb3783c4a81e9be14b34c852959 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_cc1e9d15f95a3722c798b716d16aed42 = $(`&lt;div id=&quot;html_cc1e9d15f95a3722c798b716d16aed42&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ConnectWise LLC&lt;/b&gt; &lt;br&gt;https://www.connectwise.com/company/trust/security-bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_ec74052de2017ec44a08a1fe6b9705a9.setContent(html_cc1e9d15f95a3722c798b716d16aed42);\n",
+       "                var html_c560ff9e49530a5a3c0971bed793d127 = $(`&lt;div id=&quot;html_c560ff9e49530a5a3c0971bed793d127&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ConnectWise LLC&lt;/b&gt; &lt;br&gt;https://www.connectwise.com/company/trust/security-bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_29da9cb3783c4a81e9be14b34c852959.setContent(html_c560ff9e49530a5a3c0971bed793d127);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_58e204d507745cc52d5884b088996315.bindPopup(popup_ec74052de2017ec44a08a1fe6b9705a9)\n",
+       "        marker_225a6652a8944b9fc151523d94d48df9.bindPopup(popup_29da9cb3783c4a81e9be14b34c852959)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3b84e3b2aee3f95ca80c072909ec9889 = L.marker(\n",
+       "            var marker_ed138c6859ad3ee76132096a6ec44984 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_92dc726fadb16f364c6d9283f4468ec7 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_a1562f7adab69e38763b2096996f72c5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3b84e3b2aee3f95ca80c072909ec9889.setIcon(icon_92dc726fadb16f364c6d9283f4468ec7);\n",
+       "            marker_ed138c6859ad3ee76132096a6ec44984.setIcon(icon_a1562f7adab69e38763b2096996f72c5);\n",
        "        \n",
        "    \n",
-       "        var popup_821a6df46e3cc6cfed432b05c30509e3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_05556af19131b84ccc60fe1425792c36 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_429f60037b06ebf194815586b6aa20ef = $(`&lt;div id=&quot;html_429f60037b06ebf194815586b6aa20ef&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ClickHouse, Inc.&lt;/b&gt; &lt;br&gt;https://clickhouse.com/docs/en/whats-new/security-changelog&lt;/div&gt;`)[0];\n",
-       "                popup_821a6df46e3cc6cfed432b05c30509e3.setContent(html_429f60037b06ebf194815586b6aa20ef);\n",
+       "                var html_7575504b5c10be1b632bafd108abf1c9 = $(`&lt;div id=&quot;html_7575504b5c10be1b632bafd108abf1c9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ClickHouse, Inc.&lt;/b&gt; &lt;br&gt;https://clickhouse.com/docs/en/whats-new/security-changelog&lt;/div&gt;`)[0];\n",
+       "                popup_05556af19131b84ccc60fe1425792c36.setContent(html_7575504b5c10be1b632bafd108abf1c9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3b84e3b2aee3f95ca80c072909ec9889.bindPopup(popup_821a6df46e3cc6cfed432b05c30509e3)\n",
+       "        marker_ed138c6859ad3ee76132096a6ec44984.bindPopup(popup_05556af19131b84ccc60fe1425792c36)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_12d90b278511b495c7c5277bbeebd863 = L.marker(\n",
+       "            var marker_e184e0292ffa6ea72d96e2adb1eaf5b0 = L.marker(\n",
        "                [47.59397, 14.12456],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_fd8930177ad3a3e4e8148f22790acd4a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_de6d0f70ccf7c8614a7f2f8c89f7e199 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_12d90b278511b495c7c5277bbeebd863.setIcon(icon_fd8930177ad3a3e4e8148f22790acd4a);\n",
+       "            marker_e184e0292ffa6ea72d96e2adb1eaf5b0.setIcon(icon_de6d0f70ccf7c8614a7f2f8c89f7e199);\n",
        "        \n",
        "    \n",
-       "        var popup_9885e2d35f10c2e7f4272b99fb5d038e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9bc6fd148a2431cf826b3bbd38d5a5db = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_552983f867b6a6dffb151e5984b9f5e5 = $(`&lt;div id=&quot;html_552983f867b6a6dffb151e5984b9f5e5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SBA Research gGmbH&lt;/b&gt; &lt;br&gt;https://github.com/sbaresearch/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_9885e2d35f10c2e7f4272b99fb5d038e.setContent(html_552983f867b6a6dffb151e5984b9f5e5);\n",
+       "                var html_6860e97171bb8cf1dc97a5e12dad624c = $(`&lt;div id=&quot;html_6860e97171bb8cf1dc97a5e12dad624c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SBA Research gGmbH&lt;/b&gt; &lt;br&gt;https://github.com/sbaresearch/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_9bc6fd148a2431cf826b3bbd38d5a5db.setContent(html_6860e97171bb8cf1dc97a5e12dad624c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_12d90b278511b495c7c5277bbeebd863.bindPopup(popup_9885e2d35f10c2e7f4272b99fb5d038e)\n",
+       "        marker_e184e0292ffa6ea72d96e2adb1eaf5b0.bindPopup(popup_9bc6fd148a2431cf826b3bbd38d5a5db)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_319837f1ff2c38aef8db22a8e0415304 = L.marker(\n",
+       "            var marker_296517bf8fbd34e579f10aa5297047b4 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_95e06d7d95bdf0f8f9b5d21fb49d8aee = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_900a6b93b7e4dc691bbec5aafd0ad5cc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_319837f1ff2c38aef8db22a8e0415304.setIcon(icon_95e06d7d95bdf0f8f9b5d21fb49d8aee);\n",
+       "            marker_296517bf8fbd34e579f10aa5297047b4.setIcon(icon_900a6b93b7e4dc691bbec5aafd0ad5cc);\n",
        "        \n",
        "    \n",
-       "        var popup_502d796d1e1eb31b0d1b03206ed43e9f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_9baf16a433c9f88e8d616583e4735c2a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_aab467eb54060599d678d1ed79c192f7 = $(`&lt;div id=&quot;html_aab467eb54060599d678d1ed79c192f7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Wind River Systems Inc.&lt;/b&gt; &lt;br&gt;https://www.windriver.com/security/vulnerability-responses&lt;/div&gt;`)[0];\n",
-       "                popup_502d796d1e1eb31b0d1b03206ed43e9f.setContent(html_aab467eb54060599d678d1ed79c192f7);\n",
+       "                var html_5710ab906eaaceb153c9b2fd4ed418bb = $(`&lt;div id=&quot;html_5710ab906eaaceb153c9b2fd4ed418bb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Wind River Systems Inc.&lt;/b&gt; &lt;br&gt;https://www.windriver.com/security/vulnerability-responses&lt;/div&gt;`)[0];\n",
+       "                popup_9baf16a433c9f88e8d616583e4735c2a.setContent(html_5710ab906eaaceb153c9b2fd4ed418bb);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_319837f1ff2c38aef8db22a8e0415304.bindPopup(popup_502d796d1e1eb31b0d1b03206ed43e9f)\n",
+       "        marker_296517bf8fbd34e579f10aa5297047b4.bindPopup(popup_9baf16a433c9f88e8d616583e4735c2a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_0fca6daa93b0ff38ea6e2e3fdc1a7ab4 = L.marker(\n",
+       "            var marker_84630706588f4d1efeac6d1f901701c1 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_1e9139b45ad33e6ef882276e619b51cc = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f6a15e96abf6c5f93374b93924fb845b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_0fca6daa93b0ff38ea6e2e3fdc1a7ab4.setIcon(icon_1e9139b45ad33e6ef882276e619b51cc);\n",
+       "            marker_84630706588f4d1efeac6d1f901701c1.setIcon(icon_f6a15e96abf6c5f93374b93924fb845b);\n",
        "        \n",
        "    \n",
-       "        var popup_af51eff69f4fb481fa9a0bacd15dd2fa = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_a536cbd67702cdf390ee176693e80664 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_25dc62f5c57fcf8d1e5561e906731c2a = $(`&lt;div id=&quot;html_25dc62f5c57fcf8d1e5561e906731c2a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KoreLogic Security&lt;/b&gt; &lt;br&gt;https://korelogic.com/advisories.html&lt;/div&gt;`)[0];\n",
-       "                popup_af51eff69f4fb481fa9a0bacd15dd2fa.setContent(html_25dc62f5c57fcf8d1e5561e906731c2a);\n",
+       "                var html_040f5062a10e953c7896cee647adb3b9 = $(`&lt;div id=&quot;html_040f5062a10e953c7896cee647adb3b9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;KoreLogic Security&lt;/b&gt; &lt;br&gt;https://korelogic.com/advisories.html&lt;/div&gt;`)[0];\n",
+       "                popup_a536cbd67702cdf390ee176693e80664.setContent(html_040f5062a10e953c7896cee647adb3b9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_0fca6daa93b0ff38ea6e2e3fdc1a7ab4.bindPopup(popup_af51eff69f4fb481fa9a0bacd15dd2fa)\n",
+       "        marker_84630706588f4d1efeac6d1f901701c1.bindPopup(popup_a536cbd67702cdf390ee176693e80664)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_ef805c0fa692dbe19d4c8979e0bb07a0 = L.marker(\n",
+       "            var marker_11cdb2f0278cf3bf0384d90abc9d4d1a = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_67be549d51f60bd26f44417a04a99f7c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f157bc2418790bbc031c4317e734af2e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_ef805c0fa692dbe19d4c8979e0bb07a0.setIcon(icon_67be549d51f60bd26f44417a04a99f7c);\n",
+       "            marker_11cdb2f0278cf3bf0384d90abc9d4d1a.setIcon(icon_f157bc2418790bbc031c4317e734af2e);\n",
        "        \n",
        "    \n",
-       "        var popup_e9380d0b91ac68e153a7fcbf0a4adf24 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_31891607148f3f7d5a131c910a8fc81f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_371c3ce6f8a47a66c762e8ccb1976ab5 = $(`&lt;div id=&quot;html_371c3ce6f8a47a66c762e8ccb1976ab5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HeroDevs&lt;/b&gt; &lt;br&gt;https://docs.herodevs.com/advisories&lt;/div&gt;`)[0];\n",
-       "                popup_e9380d0b91ac68e153a7fcbf0a4adf24.setContent(html_371c3ce6f8a47a66c762e8ccb1976ab5);\n",
+       "                var html_e787d3043739ad561f2c41b11ea541df = $(`&lt;div id=&quot;html_e787d3043739ad561f2c41b11ea541df&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;HeroDevs&lt;/b&gt; &lt;br&gt;https://docs.herodevs.com/advisories&lt;/div&gt;`)[0];\n",
+       "                popup_31891607148f3f7d5a131c910a8fc81f.setContent(html_e787d3043739ad561f2c41b11ea541df);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_ef805c0fa692dbe19d4c8979e0bb07a0.bindPopup(popup_e9380d0b91ac68e153a7fcbf0a4adf24)\n",
+       "        marker_11cdb2f0278cf3bf0384d90abc9d4d1a.bindPopup(popup_31891607148f3f7d5a131c910a8fc81f)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_3f0390327bb18f59234a64b1a694287e = L.marker(\n",
+       "            var marker_f395250eeee1409a654f7c448470c226 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a3133fc200a73ba99f388da4329ef9be = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_9f59ba5792361523bde8fef1b77ac29d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_3f0390327bb18f59234a64b1a694287e.setIcon(icon_a3133fc200a73ba99f388da4329ef9be);\n",
+       "            marker_f395250eeee1409a654f7c448470c226.setIcon(icon_9f59ba5792361523bde8fef1b77ac29d);\n",
        "        \n",
        "    \n",
-       "        var popup_e2249b05121ef42aefa47295445b7bfa = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_4921d9c4b1cff12c442bb511c9a7a5e6 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_30d17db474c72b4f223f29b2d54680a4 = $(`&lt;div id=&quot;html_30d17db474c72b4f223f29b2d54680a4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Kong Inc.&lt;/b&gt; &lt;br&gt;https://konghq.com/compliance/psa&lt;/div&gt;`)[0];\n",
-       "                popup_e2249b05121ef42aefa47295445b7bfa.setContent(html_30d17db474c72b4f223f29b2d54680a4);\n",
+       "                var html_0b9b183be86ea64d32c8070faa79688b = $(`&lt;div id=&quot;html_0b9b183be86ea64d32c8070faa79688b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Kong Inc.&lt;/b&gt; &lt;br&gt;https://konghq.com/compliance/psa&lt;/div&gt;`)[0];\n",
+       "                popup_4921d9c4b1cff12c442bb511c9a7a5e6.setContent(html_0b9b183be86ea64d32c8070faa79688b);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_3f0390327bb18f59234a64b1a694287e.bindPopup(popup_e2249b05121ef42aefa47295445b7bfa)\n",
+       "        marker_f395250eeee1409a654f7c448470c226.bindPopup(popup_4921d9c4b1cff12c442bb511c9a7a5e6)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_707a20c1896f410662890b366447c65a = L.marker(\n",
+       "            var marker_cbbfa47f257b790e5410995d10252c1e = L.marker(\n",
        "                [59.6749712, 14.5208584],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_0fcac847bda61d0b912efc06df74c0e9 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_cda03172eeac76eaa506392ff2fae899 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_707a20c1896f410662890b366447c65a.setIcon(icon_0fcac847bda61d0b912efc06df74c0e9);\n",
+       "            marker_cbbfa47f257b790e5410995d10252c1e.setIcon(icon_cda03172eeac76eaa506392ff2fae899);\n",
        "        \n",
        "    \n",
-       "        var popup_dee1bad7f7bf4e888962dd40376ce9a9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_3346802f89c983a035d7746a870b3f2a = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_1cb1894389e9ef2c66a09a2f4e25e319 = $(`&lt;div id=&quot;html_1cb1894389e9ef2c66a09a2f4e25e319&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;upKeeper Solutions&lt;/b&gt; &lt;br&gt;https://support.upkeeper.se/hc/en-us/articles/14170844051868-Security-Advisories&lt;/div&gt;`)[0];\n",
-       "                popup_dee1bad7f7bf4e888962dd40376ce9a9.setContent(html_1cb1894389e9ef2c66a09a2f4e25e319);\n",
+       "                var html_887882f0729a659733219fffbf83e90f = $(`&lt;div id=&quot;html_887882f0729a659733219fffbf83e90f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;upKeeper Solutions&lt;/b&gt; &lt;br&gt;https://support.upkeeper.se/hc/en-us/articles/14170844051868-Security-Advisories&lt;/div&gt;`)[0];\n",
+       "                popup_3346802f89c983a035d7746a870b3f2a.setContent(html_887882f0729a659733219fffbf83e90f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_707a20c1896f410662890b366447c65a.bindPopup(popup_dee1bad7f7bf4e888962dd40376ce9a9)\n",
+       "        marker_cbbfa47f257b790e5410995d10252c1e.bindPopup(popup_3346802f89c983a035d7746a870b3f2a)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_82d6184cb0d01c89ef86ffe91eb5f391 = L.marker(\n",
-       "                [30.8124247, 34.8594762],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_f897b8d066e757c6348d5bb7b3b85656 = L.marker(\n",
+       "                [31.39480005, 34.63358319049945],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_32fd48be2e509f75b6b5330c7397537e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3d80cf078126dd9798d5eec3692019ac = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_82d6184cb0d01c89ef86ffe91eb5f391.setIcon(icon_32fd48be2e509f75b6b5330c7397537e);\n",
+       "            marker_f897b8d066e757c6348d5bb7b3b85656.setIcon(icon_3d80cf078126dd9798d5eec3692019ac);\n",
        "        \n",
        "    \n",
-       "        var popup_1df4556e95ac21f6fe9dbcfad36ac120 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_efd52655816d56756a9c457d3dc63b58 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fbb1e803581f1b2a28d2b873f9e7ecf1 = $(`&lt;div id=&quot;html_fbb1e803581f1b2a28d2b873f9e7ecf1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cato Networks&lt;/b&gt; &lt;br&gt;https://securityadvisories.catonetworks.com/&lt;/div&gt;`)[0];\n",
-       "                popup_1df4556e95ac21f6fe9dbcfad36ac120.setContent(html_fbb1e803581f1b2a28d2b873f9e7ecf1);\n",
+       "                var html_1bdf0564e474f9cd9f1e6d56bb86d6f1 = $(`&lt;div id=&quot;html_1bdf0564e474f9cd9f1e6d56bb86d6f1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cato Networks&lt;/b&gt; &lt;br&gt;https://securityadvisories.catonetworks.com/&lt;/div&gt;`)[0];\n",
+       "                popup_efd52655816d56756a9c457d3dc63b58.setContent(html_1bdf0564e474f9cd9f1e6d56bb86d6f1);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_82d6184cb0d01c89ef86ffe91eb5f391.bindPopup(popup_1df4556e95ac21f6fe9dbcfad36ac120)\n",
+       "        marker_f897b8d066e757c6348d5bb7b3b85656.bindPopup(popup_efd52655816d56756a9c457d3dc63b58)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_e604bd49d388776f8eee561ef8b19d69 = L.marker(\n",
+       "            var marker_652b04083a60601050ed3a61a44aa3f0 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_da537a7f1714fdd65a36ae8b85c4fe9a = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_568879ab2ea9ca4d73bd69b3ec0fada5 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_e604bd49d388776f8eee561ef8b19d69.setIcon(icon_da537a7f1714fdd65a36ae8b85c4fe9a);\n",
+       "            marker_652b04083a60601050ed3a61a44aa3f0.setIcon(icon_568879ab2ea9ca4d73bd69b3ec0fada5);\n",
        "        \n",
        "    \n",
-       "        var popup_38acb5d3889fbf9ec082cc1e2fde9542 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_bbc0e942e5bf14b309ea2b71e5dbc9bb = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fc2e5bc1f8d7d06e89ad055ead64e038 = $(`&lt;div id=&quot;html_fc2e5bc1f8d7d06e89ad055ead64e038&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Amazon&lt;/b&gt; &lt;br&gt;https://aws.amazon.com/security/security-bulletins&lt;/div&gt;`)[0];\n",
-       "                popup_38acb5d3889fbf9ec082cc1e2fde9542.setContent(html_fc2e5bc1f8d7d06e89ad055ead64e038);\n",
+       "                var html_f6e09aff0e10a95730d4534b7975550f = $(`&lt;div id=&quot;html_f6e09aff0e10a95730d4534b7975550f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Amazon&lt;/b&gt; &lt;br&gt;https://aws.amazon.com/security/security-bulletins&lt;/div&gt;`)[0];\n",
+       "                popup_bbc0e942e5bf14b309ea2b71e5dbc9bb.setContent(html_f6e09aff0e10a95730d4534b7975550f);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_e604bd49d388776f8eee561ef8b19d69.bindPopup(popup_38acb5d3889fbf9ec082cc1e2fde9542)\n",
+       "        marker_652b04083a60601050ed3a61a44aa3f0.bindPopup(popup_bbc0e942e5bf14b309ea2b71e5dbc9bb)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_249fe68547571979450090838758c361 = L.marker(\n",
+       "            var marker_eb8601945f225296c0e902742cb1be5f = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_fb8159a553c4e7fbbf34e876af71b1d8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_467558dbb1509021ebeda6451c8e412e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_249fe68547571979450090838758c361.setIcon(icon_fb8159a553c4e7fbbf34e876af71b1d8);\n",
+       "            marker_eb8601945f225296c0e902742cb1be5f.setIcon(icon_467558dbb1509021ebeda6451c8e412e);\n",
        "        \n",
        "    \n",
-       "        var popup_3e6a7088b2cda961450cc44379b16823 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_e28a9800ebda74ec9450a169f7ed767e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_ac151fc764997c3ca3fcc302d5fe5171 = $(`&lt;div id=&quot;html_ac151fc764997c3ca3fcc302d5fe5171&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;RealPage&lt;/b&gt; &lt;br&gt;https://www.realpage.com/support/security/responsible-disclosure/security-advisories/&lt;/div&gt;`)[0];\n",
-       "                popup_3e6a7088b2cda961450cc44379b16823.setContent(html_ac151fc764997c3ca3fcc302d5fe5171);\n",
+       "                var html_26145d72903fa697e399c7829bf6d53c = $(`&lt;div id=&quot;html_26145d72903fa697e399c7829bf6d53c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;RealPage&lt;/b&gt; &lt;br&gt;https://www.realpage.com/support/security/responsible-disclosure/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_e28a9800ebda74ec9450a169f7ed767e.setContent(html_26145d72903fa697e399c7829bf6d53c);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_249fe68547571979450090838758c361.bindPopup(popup_3e6a7088b2cda961450cc44379b16823)\n",
+       "        marker_eb8601945f225296c0e902742cb1be5f.bindPopup(popup_e28a9800ebda74ec9450a169f7ed767e)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_2057c2f1abdcf64d4727f4ec97e92819 = L.marker(\n",
+       "            var marker_8fa033b0021d1c37583e866762a65f4c = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_469f8d84593baf3f629cb7b58ad62d4f = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_5722f60ba8b8748b47ceeb833bccd660 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_2057c2f1abdcf64d4727f4ec97e92819.setIcon(icon_469f8d84593baf3f629cb7b58ad62d4f);\n",
+       "            marker_8fa033b0021d1c37583e866762a65f4c.setIcon(icon_5722f60ba8b8748b47ceeb833bccd660);\n",
        "        \n",
        "    \n",
-       "        var popup_2fa4bc959a9830c528c1547e646511f0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_8ac47c002fa14a11c4499cdecc25d200 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_d072d1bb2f562ab0bccf1913c61f1786 = $(`&lt;div id=&quot;html_d072d1bb2f562ab0bccf1913c61f1786&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Huntress Labs Inc.&lt;/b&gt; &lt;br&gt;https://support.huntress.io/hc/en-us/categories/10962594482579-Vulnerability-Disclosures&lt;/div&gt;`)[0];\n",
-       "                popup_2fa4bc959a9830c528c1547e646511f0.setContent(html_d072d1bb2f562ab0bccf1913c61f1786);\n",
+       "                var html_476cfcc88e4ca03f83c6779908470909 = $(`&lt;div id=&quot;html_476cfcc88e4ca03f83c6779908470909&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Huntress Labs Inc.&lt;/b&gt; &lt;br&gt;https://support.huntress.io/hc/en-us/categories/10962594482579-Vulnerability-Disclosures&lt;/div&gt;`)[0];\n",
+       "                popup_8ac47c002fa14a11c4499cdecc25d200.setContent(html_476cfcc88e4ca03f83c6779908470909);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_2057c2f1abdcf64d4727f4ec97e92819.bindPopup(popup_2fa4bc959a9830c528c1547e646511f0)\n",
+       "        marker_8fa033b0021d1c37583e866762a65f4c.bindPopup(popup_8ac47c002fa14a11c4499cdecc25d200)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_880665904771c901d72b64ece1a51c22 = L.marker(\n",
+       "            var marker_170542adac517ebb130bb5bc2bc08052 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_79cdba8e87456a96992a919bdd5b023c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_e687d0f81137ad2784ac02584b0c8c3f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_880665904771c901d72b64ece1a51c22.setIcon(icon_79cdba8e87456a96992a919bdd5b023c);\n",
+       "            marker_170542adac517ebb130bb5bc2bc08052.setIcon(icon_e687d0f81137ad2784ac02584b0c8c3f);\n",
        "        \n",
        "    \n",
-       "        var popup_04b06dbe3c88c9b430662caca9f1a6d2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d788e8ee54adcf51e5b7ecf8703bbfd0 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_23d028d34319847f9fda059f13be182d = $(`&lt;div id=&quot;html_23d028d34319847f9fda059f13be182d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Forescout Technologies&lt;/b&gt; &lt;br&gt;https://docs.forescout.com/bundle/vulnerabilities/&lt;/div&gt;`)[0];\n",
-       "                popup_04b06dbe3c88c9b430662caca9f1a6d2.setContent(html_23d028d34319847f9fda059f13be182d);\n",
+       "                var html_1a0758828054889e175a347bbdb477da = $(`&lt;div id=&quot;html_1a0758828054889e175a347bbdb477da&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Forescout Technologies&lt;/b&gt; &lt;br&gt;https://docs.forescout.com/bundle/vulnerabilities/&lt;/div&gt;`)[0];\n",
+       "                popup_d788e8ee54adcf51e5b7ecf8703bbfd0.setContent(html_1a0758828054889e175a347bbdb477da);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_880665904771c901d72b64ece1a51c22.bindPopup(popup_04b06dbe3c88c9b430662caca9f1a6d2)\n",
+       "        marker_170542adac517ebb130bb5bc2bc08052.bindPopup(popup_d788e8ee54adcf51e5b7ecf8703bbfd0)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_135025350c9fc7242388bddce60d5b7d = L.marker(\n",
+       "            var marker_b3c98d8bdf9d8d25692a2d1cd83c8dab = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_22c35788d499a260efa0aed126e1cec8 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_7dcda4d820e36a284a8192f25fb6852d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_135025350c9fc7242388bddce60d5b7d.setIcon(icon_22c35788d499a260efa0aed126e1cec8);\n",
+       "            marker_b3c98d8bdf9d8d25692a2d1cd83c8dab.setIcon(icon_7dcda4d820e36a284a8192f25fb6852d);\n",
        "        \n",
        "    \n",
-       "        var popup_ccd03fb69f6b8b1262bc86655feb7278 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_832300d55b4959a3a0053d866cb90642 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2085641e9e42a2429c3dd55b807ab5d6 = $(`&lt;div id=&quot;html_2085641e9e42a2429c3dd55b807ab5d6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;9front Systems&lt;/b&gt; &lt;br&gt;http://bugs.9front.org/&lt;/div&gt;`)[0];\n",
-       "                popup_ccd03fb69f6b8b1262bc86655feb7278.setContent(html_2085641e9e42a2429c3dd55b807ab5d6);\n",
+       "                var html_701615c91eb5e8dcd8e01ee8b4a7752e = $(`&lt;div id=&quot;html_701615c91eb5e8dcd8e01ee8b4a7752e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;9front Systems&lt;/b&gt; &lt;br&gt;http://bugs.9front.org/&lt;/div&gt;`)[0];\n",
+       "                popup_832300d55b4959a3a0053d866cb90642.setContent(html_701615c91eb5e8dcd8e01ee8b4a7752e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_135025350c9fc7242388bddce60d5b7d.bindPopup(popup_ccd03fb69f6b8b1262bc86655feb7278)\n",
+       "        marker_b3c98d8bdf9d8d25692a2d1cd83c8dab.bindPopup(popup_832300d55b4959a3a0053d866cb90642)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_98a68eca8136bc3be224d7cfd4a1cece = L.marker(\n",
+       "            var marker_ec11f6c0a2ffb10f522b2407d5e50c4b = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_63a599fb6b4c7dc710c73e8f55038214 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_8e077ed3684676a097ecad7390337058 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_98a68eca8136bc3be224d7cfd4a1cece.setIcon(icon_63a599fb6b4c7dc710c73e8f55038214);\n",
+       "            marker_ec11f6c0a2ffb10f522b2407d5e50c4b.setIcon(icon_8e077ed3684676a097ecad7390337058);\n",
        "        \n",
        "    \n",
-       "        var popup_b4e0b6c5bae7a0ba61b2d9eb9c4581a0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2ceebdd4a7e6bccc7780f682c52559aa = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_c16e2ac9b857a247e3c06842a4a3fefd = $(`&lt;div id=&quot;html_c16e2ac9b857a247e3c06842a4a3fefd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ivanti&lt;/b&gt; &lt;br&gt;https://www.ivanti.com/blog/topics/security-advisory&lt;/div&gt;`)[0];\n",
-       "                popup_b4e0b6c5bae7a0ba61b2d9eb9c4581a0.setContent(html_c16e2ac9b857a247e3c06842a4a3fefd);\n",
+       "                var html_b69e4114a814644349b84e0c96dd3b12 = $(`&lt;div id=&quot;html_b69e4114a814644349b84e0c96dd3b12&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Ivanti&lt;/b&gt; &lt;br&gt;https://www.ivanti.com/blog/topics/security-advisory&lt;/div&gt;`)[0];\n",
+       "                popup_2ceebdd4a7e6bccc7780f682c52559aa.setContent(html_b69e4114a814644349b84e0c96dd3b12);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_98a68eca8136bc3be224d7cfd4a1cece.bindPopup(popup_b4e0b6c5bae7a0ba61b2d9eb9c4581a0)\n",
+       "        marker_ec11f6c0a2ffb10f522b2407d5e50c4b.bindPopup(popup_2ceebdd4a7e6bccc7780f682c52559aa)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_c5c1e646dbb455a9c0b418d096f91e16 = L.marker(\n",
-       "                [54.7023545, -3.2765753],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "            var marker_f846577c7d71ec5ccd9b65223f738be2 = L.marker(\n",
+       "                [6.3110548, 20.5447525],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_61753dfb895dafd0dbd9d11423606e54 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_171455f73ffd3a119975fc9a0a524826 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_c5c1e646dbb455a9c0b418d096f91e16.setIcon(icon_61753dfb895dafd0dbd9d11423606e54);\n",
+       "            marker_f846577c7d71ec5ccd9b65223f738be2.setIcon(icon_171455f73ffd3a119975fc9a0a524826);\n",
        "        \n",
        "    \n",
-       "        var popup_23a38b09f73eed225b117886ed926419 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_7293fa4b94121c382750c8aab98a9e8c = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_dc182894a19917d6466e265c938c001e = $(`&lt;div id=&quot;html_dc182894a19917d6466e265c938c001e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Imagination Technologies&lt;/b&gt; &lt;br&gt;https://www.imaginationtech.com/gpu-driver-vulnerabilities/&lt;/div&gt;`)[0];\n",
-       "                popup_23a38b09f73eed225b117886ed926419.setContent(html_dc182894a19917d6466e265c938c001e);\n",
+       "                var html_3a3dc35a8ea74e0b22f0e3520d484b5e = $(`&lt;div id=&quot;html_3a3dc35a8ea74e0b22f0e3520d484b5e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Imagination Technologies&lt;/b&gt; &lt;br&gt;https://www.imaginationtech.com/gpu-driver-vulnerabilities/&lt;/div&gt;`)[0];\n",
+       "                popup_7293fa4b94121c382750c8aab98a9e8c.setContent(html_3a3dc35a8ea74e0b22f0e3520d484b5e);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_c5c1e646dbb455a9c0b418d096f91e16.bindPopup(popup_23a38b09f73eed225b117886ed926419)\n",
+       "        marker_f846577c7d71ec5ccd9b65223f738be2.bindPopup(popup_7293fa4b94121c382750c8aab98a9e8c)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_55ae5b21ba61483b64ab7b49d53f2d2d = L.marker(\n",
+       "            var marker_d16c0244aee225079f063a0a19aa029b = L.marker(\n",
        "                [50.6402809, 4.6667145],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_dc9cc14896546b7e48ed57ccc36ed87d = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_48e63c4c46f9fc1f21095778666b6b8b = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_55ae5b21ba61483b64ab7b49d53f2d2d.setIcon(icon_dc9cc14896546b7e48ed57ccc36ed87d);\n",
+       "            marker_d16c0244aee225079f063a0a19aa029b.setIcon(icon_48e63c4c46f9fc1f21095778666b6b8b);\n",
        "        \n",
        "    \n",
-       "        var popup_52dfeb1a3bd1edd7d67a06d3f0f549b4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_934afc5406bf3ece4b14cc63827c9aa8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_0a202b125831b23760f55254ad4cce9d = $(`&lt;div id=&quot;html_0a202b125831b23760f55254ad4cce9d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Intigriti&lt;/b&gt; &lt;br&gt;https://trust.intigriti.com/resources&lt;/div&gt;`)[0];\n",
-       "                popup_52dfeb1a3bd1edd7d67a06d3f0f549b4.setContent(html_0a202b125831b23760f55254ad4cce9d);\n",
+       "                var html_551aca51f622a0b2aefe3c8f7a06efce = $(`&lt;div id=&quot;html_551aca51f622a0b2aefe3c8f7a06efce&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Intigriti&lt;/b&gt; &lt;br&gt;https://trust.intigriti.com/resources&lt;/div&gt;`)[0];\n",
+       "                popup_934afc5406bf3ece4b14cc63827c9aa8.setContent(html_551aca51f622a0b2aefe3c8f7a06efce);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_55ae5b21ba61483b64ab7b49d53f2d2d.bindPopup(popup_52dfeb1a3bd1edd7d67a06d3f0f549b4)\n",
+       "        marker_d16c0244aee225079f063a0a19aa029b.bindPopup(popup_934afc5406bf3ece4b14cc63827c9aa8)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_6bf39f87be3da2b65032044bc798fb67 = L.marker(\n",
+       "            var marker_287139b45af4b650391a375ca549da69 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a41f30cc314112398e4f473c8da6fa7e = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f4942c910990bcb0982fa5f0a8868a75 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_6bf39f87be3da2b65032044bc798fb67.setIcon(icon_a41f30cc314112398e4f473c8da6fa7e);\n",
+       "            marker_287139b45af4b650391a375ca549da69.setIcon(icon_f4942c910990bcb0982fa5f0a8868a75);\n",
        "        \n",
        "    \n",
-       "        var popup_9c10436666b5fdce31b554c0f5b99ed2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_2c94e3b3d4b3b7a71a7af6523f0d0261 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_912cca3bb595f649239a40eaf8069de9 = $(`&lt;div id=&quot;html_912cca3bb595f649239a40eaf8069de9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Stryker Corporation&lt;/b&gt; &lt;br&gt;https://www.stryker.com/us/en/about/governance/cyber-security/product-security.html&lt;/div&gt;`)[0];\n",
-       "                popup_9c10436666b5fdce31b554c0f5b99ed2.setContent(html_912cca3bb595f649239a40eaf8069de9);\n",
+       "                var html_e87c720863715c8fec768dd87fdb5bf9 = $(`&lt;div id=&quot;html_e87c720863715c8fec768dd87fdb5bf9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Stryker Corporation&lt;/b&gt; &lt;br&gt;https://www.stryker.com/us/en/about/governance/cyber-security/product-security.html&lt;/div&gt;`)[0];\n",
+       "                popup_2c94e3b3d4b3b7a71a7af6523f0d0261.setContent(html_e87c720863715c8fec768dd87fdb5bf9);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_6bf39f87be3da2b65032044bc798fb67.bindPopup(popup_9c10436666b5fdce31b554c0f5b99ed2)\n",
+       "        marker_287139b45af4b650391a375ca549da69.bindPopup(popup_2c94e3b3d4b3b7a71a7af6523f0d0261)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_4f712f60ac02eb3d56926a25303da505 = L.marker(\n",
+       "            var marker_469e97699daddb3bddf8f03ceef442e8 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9f17d685197ecd570132d2a66090a225 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_f61d7252a44886b7477b24a4bc645cd8 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_4f712f60ac02eb3d56926a25303da505.setIcon(icon_9f17d685197ecd570132d2a66090a225);\n",
+       "            marker_469e97699daddb3bddf8f03ceef442e8.setIcon(icon_f61d7252a44886b7477b24a4bc645cd8);\n",
        "        \n",
        "    \n",
-       "        var popup_b94f91b3d7e5a7bc3e63dac6905d5ec5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_49e9d90bb2dd21161d5561824c4782aa = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_2597b3a0dd266eefb4353e65253efd93 = $(`&lt;div id=&quot;html_2597b3a0dd266eefb4353e65253efd93&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;WatchDogDevelopment.com, LLC&lt;/b&gt; &lt;br&gt;https://watchdog.dev/vulnerability-disclosure-policy/&lt;/div&gt;`)[0];\n",
-       "                popup_b94f91b3d7e5a7bc3e63dac6905d5ec5.setContent(html_2597b3a0dd266eefb4353e65253efd93);\n",
+       "                var html_e324c7ba72e2dca30ef7e7b944d62a30 = $(`&lt;div id=&quot;html_e324c7ba72e2dca30ef7e7b944d62a30&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;WatchDogDevelopment.com, LLC&lt;/b&gt; &lt;br&gt;https://watchdog.dev/vulnerability-disclosure-policy/&lt;/div&gt;`)[0];\n",
+       "                popup_49e9d90bb2dd21161d5561824c4782aa.setContent(html_e324c7ba72e2dca30ef7e7b944d62a30);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_4f712f60ac02eb3d56926a25303da505.bindPopup(popup_b94f91b3d7e5a7bc3e63dac6905d5ec5)\n",
+       "        marker_469e97699daddb3bddf8f03ceef442e8.bindPopup(popup_49e9d90bb2dd21161d5561824c4782aa)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_de42450827493ec3ce8b3016dfdd129b = L.marker(\n",
+       "            var marker_43b9add3c1e3a344cc4a4d7cde4b3083 = L.marker(\n",
        "                [46.7985624, 8.2319736],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_a9c4dec5afe87bfe25faeff35a1f32b1 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6e4fccaa3eba442ba7027b3ac0ff6041 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_de42450827493ec3ce8b3016dfdd129b.setIcon(icon_a9c4dec5afe87bfe25faeff35a1f32b1);\n",
+       "            marker_43b9add3c1e3a344cc4a4d7cde4b3083.setIcon(icon_6e4fccaa3eba442ba7027b3ac0ff6041);\n",
        "        \n",
        "    \n",
-       "        var popup_1fc4295a6cca7abe65fa46f9ad2e2271 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_6a49ca0a37920345bd224427e4c498ac = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_fb349120f1b183a8c20933cf2a2d55b6 = $(`&lt;div id=&quot;html_fb349120f1b183a8c20933cf2a2d55b6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Proton AG&lt;/b&gt; &lt;br&gt;https://proton.me/security/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_1fc4295a6cca7abe65fa46f9ad2e2271.setContent(html_fb349120f1b183a8c20933cf2a2d55b6);\n",
+       "                var html_61c16d7154dab4a707725b8682e2c863 = $(`&lt;div id=&quot;html_61c16d7154dab4a707725b8682e2c863&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Proton AG&lt;/b&gt; &lt;br&gt;https://proton.me/security/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_6a49ca0a37920345bd224427e4c498ac.setContent(html_61c16d7154dab4a707725b8682e2c863);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_de42450827493ec3ce8b3016dfdd129b.bindPopup(popup_1fc4295a6cca7abe65fa46f9ad2e2271)\n",
+       "        marker_43b9add3c1e3a344cc4a4d7cde4b3083.bindPopup(popup_6a49ca0a37920345bd224427e4c498ac)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f8715e8f92985e0dc3302fc124e1793b = L.marker(\n",
+       "            var marker_41c29eb96bc3e5df609ea8d711fb0c82 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_6de6cf628af689696544dfb719b2d89c = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6d3d811d6040193633de70d22b411922 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f8715e8f92985e0dc3302fc124e1793b.setIcon(icon_6de6cf628af689696544dfb719b2d89c);\n",
+       "            marker_41c29eb96bc3e5df609ea8d711fb0c82.setIcon(icon_6d3d811d6040193633de70d22b411922);\n",
        "        \n",
        "    \n",
-       "        var popup_bc79d9b4384eddaa2a72a2931e468861 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ad65d51476ec1c1523d023159cda50af = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_3a6bb8562d247d8c7a16e3481246ecd3 = $(`&lt;div id=&quot;html_3a6bb8562d247d8c7a16e3481246ecd3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Wiz, Inc.&lt;/b&gt; &lt;br&gt;https://www.wiz.io/security-advisories&lt;/div&gt;`)[0];\n",
-       "                popup_bc79d9b4384eddaa2a72a2931e468861.setContent(html_3a6bb8562d247d8c7a16e3481246ecd3);\n",
+       "                var html_36d03ed7045f95834ef371bdf845c2de = $(`&lt;div id=&quot;html_36d03ed7045f95834ef371bdf845c2de&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Wiz, Inc.&lt;/b&gt; &lt;br&gt;https://www.wiz.io/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_ad65d51476ec1c1523d023159cda50af.setContent(html_36d03ed7045f95834ef371bdf845c2de);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f8715e8f92985e0dc3302fc124e1793b.bindPopup(popup_bc79d9b4384eddaa2a72a2931e468861)\n",
+       "        marker_41c29eb96bc3e5df609ea8d711fb0c82.bindPopup(popup_ad65d51476ec1c1523d023159cda50af)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_39aa23978bb22143823837d119e94db9 = L.marker(\n",
+       "            var marker_50de6643dee2f0689f9c19225be25397 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9c53bb2ac581977cf94b2c589d4e81b6 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_48d431565bae8e60bdb7904c518ff40c = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_39aa23978bb22143823837d119e94db9.setIcon(icon_9c53bb2ac581977cf94b2c589d4e81b6);\n",
+       "            marker_50de6643dee2f0689f9c19225be25397.setIcon(icon_48d431565bae8e60bdb7904c518ff40c);\n",
        "        \n",
        "    \n",
-       "        var popup_e32a6555bf5287e4526a05b487e5f058 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_39a589cda407f223aa946e1f9fdadf53 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_13555cfefd4279462df6cb020b6115a5 = $(`&lt;div id=&quot;html_13555cfefd4279462df6cb020b6115a5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Super Micro Computer, Inc.&lt;/b&gt; &lt;br&gt;https://www.supermicro.com/en/support/security_center#&lt;/div&gt;`)[0];\n",
-       "                popup_e32a6555bf5287e4526a05b487e5f058.setContent(html_13555cfefd4279462df6cb020b6115a5);\n",
+       "                var html_a9ac33b2856a671e8589790d26c5f3b6 = $(`&lt;div id=&quot;html_a9ac33b2856a671e8589790d26c5f3b6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Super Micro Computer, Inc.&lt;/b&gt; &lt;br&gt;https://www.supermicro.com/en/support/security_center#&lt;/div&gt;`)[0];\n",
+       "                popup_39a589cda407f223aa946e1f9fdadf53.setContent(html_a9ac33b2856a671e8589790d26c5f3b6);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_39aa23978bb22143823837d119e94db9.bindPopup(popup_e32a6555bf5287e4526a05b487e5f058)\n",
+       "        marker_50de6643dee2f0689f9c19225be25397.bindPopup(popup_39a589cda407f223aa946e1f9fdadf53)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_f6c03ac17f4a8de6d31757725aa390e9 = L.marker(\n",
+       "            var marker_eb1684421f2f7b8238b18d7152509aff = L.marker(\n",
        "                [-24.7761086, 134.755],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_93b716fa56b141a6ce5f6d8fac55fc8a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_eb1684421f2f7b8238b18d7152509aff.setIcon(icon_93b716fa56b141a6ce5f6d8fac55fc8a);\n",
+       "        \n",
+       "    \n",
+       "        var popup_2a94cd77e339f0664c7ef247d72d6fb8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_f586c7dac3b60d1f3dc573c1d9afcac8 = $(`&lt;div id=&quot;html_f586c7dac3b60d1f3dc573c1d9afcac8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Monash University - Cyber Security Incident Response Team&lt;/b&gt; &lt;br&gt;https://www.monash.edu/cybersecurity/about/mon-csirt&lt;/div&gt;`)[0];\n",
+       "                popup_2a94cd77e339f0664c7ef247d72d6fb8.setContent(html_f586c7dac3b60d1f3dc573c1d9afcac8);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_eb1684421f2f7b8238b18d7152509aff.bindPopup(popup_2a94cd77e339f0664c7ef247d72d6fb8)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_5fda1ebcb9b8b1a105a06fbbd8dbb7ef = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_b430ac55143d7d4a0cb4baa14ab461cc = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_5fda1ebcb9b8b1a105a06fbbd8dbb7ef.setIcon(icon_b430ac55143d7d4a0cb4baa14ab461cc);\n",
+       "        \n",
+       "    \n",
+       "        var popup_bdf39aea784aa3bb305a63c2f0b1627b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_b097fef4e814a10a261058fc1b798c71 = $(`&lt;div id=&quot;html_b097fef4e814a10a261058fc1b798c71&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Seal Security&lt;/b&gt; &lt;br&gt;https://app.sealsecurity.io/repository&lt;/div&gt;`)[0];\n",
+       "                popup_bdf39aea784aa3bb305a63c2f0b1627b.setContent(html_b097fef4e814a10a261058fc1b798c71);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_5fda1ebcb9b8b1a105a06fbbd8dbb7ef.bindPopup(popup_bdf39aea784aa3bb305a63c2f0b1627b)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_1ce0f370a0799735ee464a801bf59c58 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_ec1464039b4be7faf578ac21d8248420 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_1ce0f370a0799735ee464a801bf59c58.setIcon(icon_ec1464039b4be7faf578ac21d8248420);\n",
+       "        \n",
+       "    \n",
+       "        var popup_b8d39872160a11e2c9fcef7915575f81 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_ead49bee608a796973b6c6d570b4e389 = $(`&lt;div id=&quot;html_ead49bee608a796973b6c6d570b4e389&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cytiva&lt;/b&gt; &lt;br&gt;https://www.cytivalifesciences.com/en/se/product-security&lt;/div&gt;`)[0];\n",
+       "                popup_b8d39872160a11e2c9fcef7915575f81.setContent(html_ead49bee608a796973b6c6d570b4e389);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_1ce0f370a0799735ee464a801bf59c58.bindPopup(popup_b8d39872160a11e2c9fcef7915575f81)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_591ed8e3701b77ec89a58491156627c4 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_62bd33f5c417d706366aaeea4c4f1a44 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_591ed8e3701b77ec89a58491156627c4.setIcon(icon_62bd33f5c417d706366aaeea4c4f1a44);\n",
+       "        \n",
+       "    \n",
+       "        var popup_8092942454cb3d51d40ffd42dd22937f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_3f20e45e9bf13172da88ecef39dbd3c1 = $(`&lt;div id=&quot;html_3f20e45e9bf13172da88ecef39dbd3c1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Arxscan, Inc.&lt;/b&gt; &lt;br&gt;https://arxscan.com/cybersecurity-vulnerability-policy/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_8092942454cb3d51d40ffd42dd22937f.setContent(html_3f20e45e9bf13172da88ecef39dbd3c1);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_591ed8e3701b77ec89a58491156627c4.bindPopup(popup_8092942454cb3d51d40ffd42dd22937f)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_f48269053c07b0302da8eb306568eea0 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_20345d9adc02134f3ee8169855ab838d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_f48269053c07b0302da8eb306568eea0.setIcon(icon_20345d9adc02134f3ee8169855ab838d);\n",
+       "        \n",
+       "    \n",
+       "        var popup_3d86f0946def2b1229267caba45fc4bd = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_586acfe42954d26e0b34765ff10f83ec = $(`&lt;div id=&quot;html_586acfe42954d26e0b34765ff10f83ec&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PlexTrac, Inc.&lt;/b&gt; &lt;br&gt;https://docs.plextrac.com/plextrac-documentation/master/security-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_3d86f0946def2b1229267caba45fc4bd.setContent(html_586acfe42954d26e0b34765ff10f83ec);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_f48269053c07b0302da8eb306568eea0.bindPopup(popup_3d86f0946def2b1229267caba45fc4bd)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_8f9cb0cc9808dccc442da977b47cc370 = L.marker(\n",
+       "                [23.5983227, 120.83537694479215],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_56b8f0dc0b8298fd2d168198277681b8 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_8f9cb0cc9808dccc442da977b47cc370.setIcon(icon_56b8f0dc0b8298fd2d168198277681b8);\n",
+       "        \n",
+       "    \n",
+       "        var popup_ababac9c267e53754bf9c08a6b528e5f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_9c2661f0ba1b31bb2713216b8487e79c = $(`&lt;div id=&quot;html_9c2661f0ba1b31bb2713216b8487e79c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;ASUSTeK Computer Incorporation&lt;/b&gt; &lt;br&gt;https://www.asus.com/content/asus-product-security-advisory/&lt;/div&gt;`)[0];\n",
+       "                popup_ababac9c267e53754bf9c08a6b528e5f.setContent(html_9c2661f0ba1b31bb2713216b8487e79c);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_8f9cb0cc9808dccc442da977b47cc370.bindPopup(popup_ababac9c267e53754bf9c08a6b528e5f)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_9615eaad6f2640bd05ecc96fdfac891c = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_e913cd0e63e39e1e878338e68e875192 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_9615eaad6f2640bd05ecc96fdfac891c.setIcon(icon_e913cd0e63e39e1e878338e68e875192);\n",
+       "        \n",
+       "    \n",
+       "        var popup_d6e85e4c0fcf4b7d303ce056ec912c20 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_4c6c1b29e2fe2d64fa08dc0a6a27f167 = $(`&lt;div id=&quot;html_4c6c1b29e2fe2d64fa08dc0a6a27f167&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Pall Corporation&lt;/b&gt; &lt;br&gt;https://www.pall.com/en/about-pall/product-security-cvd/known-vulnerabilities.html&lt;/div&gt;`)[0];\n",
+       "                popup_d6e85e4c0fcf4b7d303ce056ec912c20.setContent(html_4c6c1b29e2fe2d64fa08dc0a6a27f167);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_9615eaad6f2640bd05ecc96fdfac891c.bindPopup(popup_d6e85e4c0fcf4b7d303ce056ec912c20)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_c97dfa42b6c590f2bd28e06c9053a2fb = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_d18123020e8967dbcc5e3be8b420e807 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_c97dfa42b6c590f2bd28e06c9053a2fb.setIcon(icon_d18123020e8967dbcc5e3be8b420e807);\n",
+       "        \n",
+       "    \n",
+       "        var popup_05cbac7c93d793bbb24a60ecc7175fc3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_de2da6834399fc00e057cee621dc590b = $(`&lt;div id=&quot;html_de2da6834399fc00e057cee621dc590b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Mammotome&lt;/b&gt; &lt;br&gt;https://www.mammotome.com/us/en/legal/product-security/product-security-updates&lt;/div&gt;`)[0];\n",
+       "                popup_05cbac7c93d793bbb24a60ecc7175fc3.setContent(html_de2da6834399fc00e057cee621dc590b);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_c97dfa42b6c590f2bd28e06c9053a2fb.bindPopup(popup_05cbac7c93d793bbb24a60ecc7175fc3)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_03e03b58c72dc66b802f5ee5b751812a = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_91d5f9b59dae470080b2e0a4105d37cb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_03e03b58c72dc66b802f5ee5b751812a.setIcon(icon_91d5f9b59dae470080b2e0a4105d37cb);\n",
+       "        \n",
+       "    \n",
+       "        var popup_204d5912a256ec33805c5bd1f22f2c50 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_1b7bfae8465525ebed47d637567b31f5 = $(`&lt;div id=&quot;html_1b7bfae8465525ebed47d637567b31f5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;The Wikimedia Foundation&lt;/b&gt; &lt;br&gt;https://gitlab.wikimedia.org/repos/security/wikimedia-cve-assignments&lt;/div&gt;`)[0];\n",
+       "                popup_204d5912a256ec33805c5bd1f22f2c50.setContent(html_1b7bfae8465525ebed47d637567b31f5);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_03e03b58c72dc66b802f5ee5b751812a.bindPopup(popup_204d5912a256ec33805c5bd1f22f2c50)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_ef4b6cfb3e376c4046d5339f80952604 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_9d0f8cc213566c8a5395b7809baace31 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_3f1d9b2963933baf7e5746ed2c06af82 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_f6c03ac17f4a8de6d31757725aa390e9.setIcon(icon_9d0f8cc213566c8a5395b7809baace31);\n",
+       "            marker_ef4b6cfb3e376c4046d5339f80952604.setIcon(icon_3f1d9b2963933baf7e5746ed2c06af82);\n",
        "        \n",
        "    \n",
-       "        var popup_d5242442abe911880737b25ea183e102 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_d0d73bb8a926d328acb310ba1c7887e7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_54c70f1f7b1dfc0fbffe2e7d0c66f9bc = $(`&lt;div id=&quot;html_54c70f1f7b1dfc0fbffe2e7d0c66f9bc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Monash University - Cyber Security Incident Response Team&lt;/b&gt; &lt;br&gt;https://www.monash.edu/cybersecurity/about/mon-csirt&lt;/div&gt;`)[0];\n",
-       "                popup_d5242442abe911880737b25ea183e102.setContent(html_54c70f1f7b1dfc0fbffe2e7d0c66f9bc);\n",
+       "                var html_480cf816542699a9dbb97f526d68ab91 = $(`&lt;div id=&quot;html_480cf816542699a9dbb97f526d68ab91&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Real-Time Innovations, Inc.&lt;/b&gt; &lt;br&gt;https://community.rti.com/static/documentation/connext-dds/current/doc/vulnerabilities/#&lt;/div&gt;`)[0];\n",
+       "                popup_d0d73bb8a926d328acb310ba1c7887e7.setContent(html_480cf816542699a9dbb97f526d68ab91);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_f6c03ac17f4a8de6d31757725aa390e9.bindPopup(popup_d5242442abe911880737b25ea183e102)\n",
+       "        marker_ef4b6cfb3e376c4046d5339f80952604.bindPopup(popup_d0d73bb8a926d328acb310ba1c7887e7)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_555c627c88c89c657b681cc9238ec9c9 = L.marker(\n",
+       "            var marker_f777920581536d71b9daa63e3ec94dbc = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_ad5be128364a6177ba6b50c3eea91c26 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_f777920581536d71b9daa63e3ec94dbc.setIcon(icon_ad5be128364a6177ba6b50c3eea91c26);\n",
+       "        \n",
+       "    \n",
+       "        var popup_e1058492621248ec85639c2e92754174 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_79fee871dc05f108573f04368d90078a = $(`&lt;div id=&quot;html_79fee871dc05f108573f04368d90078a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PingCAP (US), Inc.&lt;/b&gt; &lt;br&gt;https://www.pingcap.com/security/&lt;/div&gt;`)[0];\n",
+       "                popup_e1058492621248ec85639c2e92754174.setContent(html_79fee871dc05f108573f04368d90078a);\n",
+       "            \n",
        "        \n",
+       "\n",
+       "        marker_f777920581536d71b9daa63e3ec94dbc.bindPopup(popup_e1058492621248ec85639c2e92754174)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_bb45749f8240762534f7be0db7bc1d85 = L.marker(\n",
+       "                [36.5748441, 139.2394179],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_e16669eb9397c150d89770b9864609a1 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_bb45749f8240762534f7be0db7bc1d85.setIcon(icon_e16669eb9397c150d89770b9864609a1);\n",
+       "        \n",
+       "    \n",
+       "        var popup_a571a5591887c1f9bdf596767a07d7dc = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_6d0383d69c4d94f4ad3a32d1bcf21fe1 = $(`&lt;div id=&quot;html_6d0383d69c4d94f4ad3a32d1bcf21fe1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OMRON Corporation&lt;/b&gt; &lt;br&gt;https://www.omron.com/global/en/inquiry/vulnerability_information/&lt;/div&gt;`)[0];\n",
+       "                popup_a571a5591887c1f9bdf596767a07d7dc.setContent(html_6d0383d69c4d94f4ad3a32d1bcf21fe1);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_bb45749f8240762534f7be0db7bc1d85.bindPopup(popup_a571a5591887c1f9bdf596767a07d7dc)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
        "    \n",
-       "            var icon_b5f106d8adb367780e2c5365aa9119e3 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var marker_25e486430f468ac559402a03a7487019 = L.marker(\n",
+       "                [1.357107, 103.8194992],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_e972e4692b171fbca821a381850c3e8a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_555c627c88c89c657b681cc9238ec9c9.setIcon(icon_b5f106d8adb367780e2c5365aa9119e3);\n",
+       "            marker_25e486430f468ac559402a03a7487019.setIcon(icon_e972e4692b171fbca821a381850c3e8a);\n",
        "        \n",
        "    \n",
-       "        var popup_946c70be247bba51085ac1021b149360 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_760f7dc3ad0b2204f771b8d983dc1f84 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_68abbf689d05b6fb505b956db80b128b = $(`&lt;div id=&quot;html_68abbf689d05b6fb505b956db80b128b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Seal Security&lt;/b&gt; &lt;br&gt;https://app.sealsecurity.io/repository&lt;/div&gt;`)[0];\n",
-       "                popup_946c70be247bba51085ac1021b149360.setContent(html_68abbf689d05b6fb505b956db80b128b);\n",
+       "                var html_f5b5ac280aafd78bb0e903befedaaed7 = $(`&lt;div id=&quot;html_f5b5ac280aafd78bb0e903befedaaed7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cyber Security Agency of Singapore&lt;/b&gt; &lt;br&gt;https://www.csa.gov.sg/alerts-advisories&lt;/div&gt;`)[0];\n",
+       "                popup_760f7dc3ad0b2204f771b8d983dc1f84.setContent(html_f5b5ac280aafd78bb0e903befedaaed7);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_555c627c88c89c657b681cc9238ec9c9.bindPopup(popup_946c70be247bba51085ac1021b149360)\n",
+       "        marker_25e486430f468ac559402a03a7487019.bindPopup(popup_760f7dc3ad0b2204f771b8d983dc1f84)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            var marker_113e2c910e269a2c66726f00a59b6ed5 = L.marker(\n",
+       "            var marker_90f221c86e6e2676ecd1ae23511f12c7 = L.marker(\n",
        "                [39.7837304, -100.445882],\n",
-       "                {}\n",
-       "            ).addTo(marker_cluster_6b85e869512731be2286e87761608e3d);\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
        "        \n",
        "    \n",
-       "            var icon_5ffd499ed4c1ad87e2b8de9e74034618 = L.AwesomeMarkers.icon(\n",
-       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;bug&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;lightgray&quot;, &quot;prefix&quot;: &quot;fa&quot;}\n",
+       "            var icon_6b851b716ba17f9664b58f2004c6c571 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_90f221c86e6e2676ecd1ae23511f12c7.setIcon(icon_6b851b716ba17f9664b58f2004c6c571);\n",
+       "        \n",
+       "    \n",
+       "        var popup_9f409dee54ed305a94dfc54604a6940f = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_eda1e035cbecbeeed5de166e0a129aef = $(`&lt;div id=&quot;html_eda1e035cbecbeeed5de166e0a129aef&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Leica Biosystems&lt;/b&gt; &lt;br&gt;https://www.leicabiosystems.com/us/about/product-security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_9f409dee54ed305a94dfc54604a6940f.setContent(html_eda1e035cbecbeeed5de166e0a129aef);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_90f221c86e6e2676ecd1ae23511f12c7.bindPopup(popup_9f409dee54ed305a94dfc54604a6940f)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_3b0633efd908e22d4a5ab5d71b24ea3d = L.marker(\n",
+       "                [59.6749712, 14.5208584],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_36a9d37c1ec01c210b3d1a3ed7d3d3dd = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_3b0633efd908e22d4a5ab5d71b24ea3d.setIcon(icon_36a9d37c1ec01c210b3d1a3ed7d3d3dd);\n",
+       "        \n",
+       "    \n",
+       "        var popup_72b19d5632e8d89b6f50239c11c079be = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_b2ccf82cb54ecfd08ff238dfa5efdd16 = $(`&lt;div id=&quot;html_b2ccf82cb54ecfd08ff238dfa5efdd16&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Neo4j&lt;/b&gt; &lt;br&gt;https://neo4j.com/security/advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_72b19d5632e8d89b6f50239c11c079be.setContent(html_b2ccf82cb54ecfd08ff238dfa5efdd16);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_3b0633efd908e22d4a5ab5d71b24ea3d.bindPopup(popup_72b19d5632e8d89b6f50239c11c079be)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_2ffd17899888578b2bc656875ccbd364 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_cbbc0c334da95ee962b03e19ddd62043 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_2ffd17899888578b2bc656875ccbd364.setIcon(icon_cbbc0c334da95ee962b03e19ddd62043);\n",
+       "        \n",
+       "    \n",
+       "        var popup_840cce261302160f9a7ee8e41935c5d5 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_57aef78bbd2601ac4daa505f99bae4ac = $(`&lt;div id=&quot;html_57aef78bbd2601ac4daa505f99bae4ac&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OnLogic&lt;/b&gt; &lt;br&gt;https://support.onlogic.com/security-advisory/&lt;/div&gt;`)[0];\n",
+       "                popup_840cce261302160f9a7ee8e41935c5d5.setContent(html_57aef78bbd2601ac4daa505f99bae4ac);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_2ffd17899888578b2bc656875ccbd364.bindPopup(popup_840cce261302160f9a7ee8e41935c5d5)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_da5ea6d9d78afe6ae47c420cd33884b0 = L.marker(\n",
+       "                [35.0000663, 104.999955],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_29254142a3440752efd0c354fb42039f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_da5ea6d9d78afe6ae47c420cd33884b0.setIcon(icon_29254142a3440752efd0c354fb42039f);\n",
+       "        \n",
+       "    \n",
+       "        var popup_b6d1c4a8ef318ded64fa790deeed695e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_8f2f887bfcd5e1e1e78b43d741e7c2e7 = $(`&lt;div id=&quot;html_8f2f887bfcd5e1e1e78b43d741e7c2e7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;OceanBase&lt;/b&gt; &lt;br&gt;https://github.com/oceanbase/oceanbase/issues&lt;/div&gt;`)[0];\n",
+       "                popup_b6d1c4a8ef318ded64fa790deeed695e.setContent(html_8f2f887bfcd5e1e1e78b43d741e7c2e7);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_da5ea6d9d78afe6ae47c420cd33884b0.bindPopup(popup_b6d1c4a8ef318ded64fa790deeed695e)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_ca51d55e2043ac33e235f52ca250e907 = L.marker(\n",
+       "                [-24.7761086, 134.755],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_b4c0b87d404d9b95d4bc7e54a41a1e91 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_ca51d55e2043ac33e235f52ca250e907.setIcon(icon_b4c0b87d404d9b95d4bc7e54a41a1e91);\n",
+       "        \n",
+       "    \n",
+       "        var popup_45c71a798cc1b5be08e40b09c1d6a9d1 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_a0085e21972b074d3017b0e762bdf21d = $(`&lt;div id=&quot;html_a0085e21972b074d3017b0e762bdf21d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Gridware Cybersecurity&lt;/b&gt; &lt;br&gt;https://www.gridware.com.au/security-advisories/&lt;/div&gt;`)[0];\n",
+       "                popup_45c71a798cc1b5be08e40b09c1d6a9d1.setContent(html_a0085e21972b074d3017b0e762bdf21d);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_ca51d55e2043ac33e235f52ca250e907.bindPopup(popup_45c71a798cc1b5be08e40b09c1d6a9d1)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_9eebc01cc73584107725294d7cd2e95c = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_9fa3408eaebc917bda18086f24c013b7 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_9eebc01cc73584107725294d7cd2e95c.setIcon(icon_9fa3408eaebc917bda18086f24c013b7);\n",
+       "        \n",
+       "    \n",
+       "        var popup_178792e1b90f949aa480c1d886d63972 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_7dbd1a844e2eb46d9e04d4a8bf1ac5d6 = $(`&lt;div id=&quot;html_7dbd1a844e2eb46d9e04d4a8bf1ac5d6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Beckman Coulter Diagnostics&lt;/b&gt; &lt;br&gt;https://www.beckmancoulter.com/en/about-beckman-coulter/product-security/product-security-updates&lt;/div&gt;`)[0];\n",
+       "                popup_178792e1b90f949aa480c1d886d63972.setContent(html_7dbd1a844e2eb46d9e04d4a8bf1ac5d6);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_9eebc01cc73584107725294d7cd2e95c.bindPopup(popup_178792e1b90f949aa480c1d886d63972)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_00235590af8953aaa35de9bf071e59d8 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_cfcefbf9368617dffe04f632815fc237 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_00235590af8953aaa35de9bf071e59d8.setIcon(icon_cfcefbf9368617dffe04f632815fc237);\n",
+       "        \n",
+       "    \n",
+       "        var popup_0cdecd4ab0335af894bebae74adf621b = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_183df388d5dde6ea1160d4220000d559 = $(`&lt;div id=&quot;html_183df388d5dde6ea1160d4220000d559&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Omnissa, LLC&lt;/b&gt; &lt;br&gt;https://www.omnissa.com/omnissa-security-response/&lt;/div&gt;`)[0];\n",
+       "                popup_0cdecd4ab0335af894bebae74adf621b.setContent(html_183df388d5dde6ea1160d4220000d559);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_00235590af8953aaa35de9bf071e59d8.bindPopup(popup_0cdecd4ab0335af894bebae74adf621b)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_2aa50d69c67b26b098952a48ddeac2c8 = L.marker(\n",
+       "                [-24.7761086, 134.755],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_e1b74eec1e2513b8fd6d4e531581764e = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_2aa50d69c67b26b098952a48ddeac2c8.setIcon(icon_e1b74eec1e2513b8fd6d4e531581764e);\n",
+       "        \n",
+       "    \n",
+       "        var popup_eb32738cfc776412f687ca4baa0c2081 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_ec6b60987f4d1c90df135fb7eae70c43 = $(`&lt;div id=&quot;html_ec6b60987f4d1c90df135fb7eae70c43&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;GraphQL Java&lt;/b&gt; &lt;br&gt;https://www.graphql-java.com/security/#common-vulnerabilities-and-exposures-cves&lt;/div&gt;`)[0];\n",
+       "                popup_eb32738cfc776412f687ca4baa0c2081.setContent(html_ec6b60987f4d1c90df135fb7eae70c43);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_2aa50d69c67b26b098952a48ddeac2c8.bindPopup(popup_eb32738cfc776412f687ca4baa0c2081)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_33146c40291b632d5339ec19a621a913 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_2dcded717f83f0cb3904b74324b2bbb6 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_33146c40291b632d5339ec19a621a913.setIcon(icon_2dcded717f83f0cb3904b74324b2bbb6);\n",
+       "        \n",
+       "    \n",
+       "        var popup_9da3f5e93ed4979483887c1dbba9ed77 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_402cf74be02939e9ff5f4bbcecf4ae18 = $(`&lt;div id=&quot;html_402cf74be02939e9ff5f4bbcecf4ae18&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Beckman Coulter Life Sciences&lt;/b&gt; &lt;br&gt;https://www.beckman.com/about-us/compliance/coordinated-vulnerability-disclosure/product-security-updates&lt;/div&gt;`)[0];\n",
+       "                popup_9da3f5e93ed4979483887c1dbba9ed77.setContent(html_402cf74be02939e9ff5f4bbcecf4ae18);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_33146c40291b632d5339ec19a621a913.bindPopup(popup_9da3f5e93ed4979483887c1dbba9ed77)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_2cb52db1b8842ace3ba957d5e497193f = L.marker(\n",
+       "                [55.670249, 10.3333283],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_a3f911a8cd9422b990bd0a3e116eb36a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_2cb52db1b8842ace3ba957d5e497193f.setIcon(icon_a3f911a8cd9422b990bd0a3e116eb36a);\n",
+       "        \n",
+       "    \n",
+       "        var popup_0d495ab3d17c791d17c05911c2f99cc5 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_ca0c0aa1f9d661d0bdadc4769024f577 = $(`&lt;div id=&quot;html_ca0c0aa1f9d661d0bdadc4769024f577&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Radiometer Medical ApS&lt;/b&gt; &lt;br&gt;https://www.radiometer.com/en/myradiometer&lt;/div&gt;`)[0];\n",
+       "                popup_0d495ab3d17c791d17c05911c2f99cc5.setContent(html_ca0c0aa1f9d661d0bdadc4769024f577);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_2cb52db1b8842ace3ba957d5e497193f.bindPopup(popup_0d495ab3d17c791d17c05911c2f99cc5)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_2365e9935e85f25c267837aec1e09936 = L.marker(\n",
+       "                [23.5983227, 120.83537694479215],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_23c4fc2eb48fae4fbf5a3e74bcaf0d72 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_2365e9935e85f25c267837aec1e09936.setIcon(icon_23c4fc2eb48fae4fbf5a3e74bcaf0d72);\n",
+       "        \n",
+       "    \n",
+       "        var popup_c9489f6c16f86b06ec99d03dd972b5fc = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_de9f43a51074740727b65fe7c6be0d99 = $(`&lt;div id=&quot;html_de9f43a51074740727b65fe7c6be0d99&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Delta Electronics, Inc.&lt;/b&gt; &lt;br&gt;https://www.deltaww.com/en-US/Cybersecurity_Advisory&lt;/div&gt;`)[0];\n",
+       "                popup_c9489f6c16f86b06ec99d03dd972b5fc.setContent(html_de9f43a51074740727b65fe7c6be0d99);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_2365e9935e85f25c267837aec1e09936.bindPopup(popup_c9489f6c16f86b06ec99d03dd972b5fc)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_c471172186745f70643b12edff91ac43 = L.marker(\n",
+       "                [51.1638175, 10.4478313],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_109120d124a4ecf0eb8f4c8af22ee16a = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_c471172186745f70643b12edff91ac43.setIcon(icon_109120d124a4ecf0eb8f4c8af22ee16a);\n",
+       "        \n",
+       "    \n",
+       "        var popup_0a5b8a8dfb00e074f924de06c70580d8 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_b775b5c38573119068c034f6d3be2084 = $(`&lt;div id=&quot;html_b775b5c38573119068c034f6d3be2084&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Bizerba SE &amp; Co. KG&lt;/b&gt; &lt;br&gt;https://www.bizerba.com/us/en/family-owned-and-operated-company-since-1866/corporate-governance-acting-responsibly-globally/bizerba-security-information&lt;/div&gt;`)[0];\n",
+       "                popup_0a5b8a8dfb00e074f924de06c70580d8.setContent(html_b775b5c38573119068c034f6d3be2084);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_c471172186745f70643b12edff91ac43.bindPopup(popup_0a5b8a8dfb00e074f924de06c70580d8)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_f7f2cd61bba131cca9f200424ad514d8 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_d14576dc40c9a1533196d1203e00b32d = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_f7f2cd61bba131cca9f200424ad514d8.setIcon(icon_d14576dc40c9a1533196d1203e00b32d);\n",
+       "        \n",
+       "    \n",
+       "        var popup_e3258e6969bee45e5d5675ec978b753e = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_3baeea47edfd2fcf2996b14e192109d5 = $(`&lt;div id=&quot;html_3baeea47edfd2fcf2996b14e192109d5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;iManage LLC&lt;/b&gt; &lt;br&gt;https://docs.imanage.com/security/Security_Vulnerabilities.html&lt;/div&gt;`)[0];\n",
+       "                popup_e3258e6969bee45e5d5675ec978b753e.setContent(html_3baeea47edfd2fcf2996b14e192109d5);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_f7f2cd61bba131cca9f200424ad514d8.bindPopup(popup_e3258e6969bee45e5d5675ec978b753e)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_85c5d8ac170b2814bbdeac0f8c46ed11 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_75317b1aee67b2a776c17e39601afd20 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_85c5d8ac170b2814bbdeac0f8c46ed11.setIcon(icon_75317b1aee67b2a776c17e39601afd20);\n",
+       "        \n",
+       "    \n",
+       "        var popup_e4060492863d3d516326bc186fd924d2 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_cc07efd0dc50a14ea4d98199bbcdd6c1 = $(`&lt;div id=&quot;html_cc07efd0dc50a14ea4d98199bbcdd6c1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Automox Inc.&lt;/b&gt; &lt;br&gt;https://www.automox.com/platform/security/security-bulletin&lt;/div&gt;`)[0];\n",
+       "                popup_e4060492863d3d516326bc186fd924d2.setContent(html_cc07efd0dc50a14ea4d98199bbcdd6c1);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_85c5d8ac170b2814bbdeac0f8c46ed11.bindPopup(popup_e4060492863d3d516326bc186fd924d2)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_f8d84f05c5e3b459947f652899e59925 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_1c32a15fed7ecb2218c73b2009dd17fd = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_f8d84f05c5e3b459947f652899e59925.setIcon(icon_1c32a15fed7ecb2218c73b2009dd17fd);\n",
+       "        \n",
+       "    \n",
+       "        var popup_1d6024fe6e0225ffc54eacf90bee4071 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_eaac822bb312c042af03660cb38d6196 = $(`&lt;div id=&quot;html_eaac822bb312c042af03660cb38d6196&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Delinea, Inc.&lt;/b&gt; &lt;br&gt;https://trust.delinea.com/&lt;/div&gt;`)[0];\n",
+       "                popup_1d6024fe6e0225ffc54eacf90bee4071.setContent(html_eaac822bb312c042af03660cb38d6196);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_f8d84f05c5e3b459947f652899e59925.bindPopup(popup_1d6024fe6e0225ffc54eacf90bee4071)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_80f94f84c468274cf88a0b4fba8c7a87 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_44665282477d6e55934ec8b66facb88f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_80f94f84c468274cf88a0b4fba8c7a87.setIcon(icon_44665282477d6e55934ec8b66facb88f);\n",
+       "        \n",
+       "    \n",
+       "        var popup_9839cf75e771d69864101d66ceb3a874 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_7e2ced92eba3e34187c14d978281db2f = $(`&lt;div id=&quot;html_7e2ced92eba3e34187c14d978281db2f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cepheid&lt;/b&gt; &lt;br&gt;https://www.cepheid.com/en-US/legal/product-security/product-security-updates.html&lt;/div&gt;`)[0];\n",
+       "                popup_9839cf75e771d69864101d66ceb3a874.setContent(html_7e2ced92eba3e34187c14d978281db2f);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_80f94f84c468274cf88a0b4fba8c7a87.bindPopup(popup_9839cf75e771d69864101d66ceb3a874)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_e2d2e665117536e829af5cc851203bc5 = L.marker(\n",
+       "                [39.3260685, -4.8379791],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_5d886c42476f8ed9a6fc962d65c6bd5f = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_e2d2e665117536e829af5cc851203bc5.setIcon(icon_5d886c42476f8ed9a6fc962d65c6bd5f);\n",
+       "        \n",
+       "    \n",
+       "        var popup_d70745e7bfe7793c525ba1414de8adbe = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_1c59192e841ef17ed5fe0c33a6353f6a = $(`&lt;div id=&quot;html_1c59192e841ef17ed5fe0c33a6353f6a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;S21sec Cyber Solutions by Thales&lt;/b&gt; &lt;br&gt;https://www.s21sec.com/CVElist/&lt;/div&gt;`)[0];\n",
+       "                popup_d70745e7bfe7793c525ba1414de8adbe.setContent(html_1c59192e841ef17ed5fe0c33a6353f6a);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_e2d2e665117536e829af5cc851203bc5.bindPopup(popup_d70745e7bfe7793c525ba1414de8adbe)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_1af5d236114c216f8f192eaf88aa0826 = L.marker(\n",
+       "                [46.7985624, 8.2319736],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_878719ab850b33087fa7be2a81c3de05 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_1af5d236114c216f8f192eaf88aa0826.setIcon(icon_878719ab850b33087fa7be2a81c3de05);\n",
+       "        \n",
+       "    \n",
+       "        var popup_59d32c27c62385b05aa0ac03137709ab = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_bc804ba5184eb0f9fb3b82827dbcd580 = $(`&lt;div id=&quot;html_bc804ba5184eb0f9fb3b82827dbcd580&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Roche Diagnostics&lt;/b&gt; &lt;br&gt;https://diagnostics.roche.com/global/en/legal/product-security-advisory.html&lt;/div&gt;`)[0];\n",
+       "                popup_59d32c27c62385b05aa0ac03137709ab.setContent(html_bc804ba5184eb0f9fb3b82827dbcd580);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_1af5d236114c216f8f192eaf88aa0826.bindPopup(popup_59d32c27c62385b05aa0ac03137709ab)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_bff7a03f2c4706296446ccd223d85a86 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_cd2235a3adfa2a58c06ab84738b87967 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_bff7a03f2c4706296446ccd223d85a86.setIcon(icon_cd2235a3adfa2a58c06ab84738b87967);\n",
+       "        \n",
+       "    \n",
+       "        var popup_b710b03ce71b03a6994bc280193b5725 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_aa0dbc5a58296578c991d99f1b86aa96 = $(`&lt;div id=&quot;html_aa0dbc5a58296578c991d99f1b86aa96&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Molecular Devices&lt;/b&gt; &lt;br&gt;https://support.moleculardevices.com/s/article/Molecular-Devices-Security-Advisory&lt;/div&gt;`)[0];\n",
+       "                popup_b710b03ce71b03a6994bc280193b5725.setContent(html_aa0dbc5a58296578c991d99f1b86aa96);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_bff7a03f2c4706296446ccd223d85a86.bindPopup(popup_b710b03ce71b03a6994bc280193b5725)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_24a621987938101ea948162bd5289990 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_321d804b18bcdf739d72a2f0ffa226eb = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
+       "            );\n",
+       "            marker_24a621987938101ea948162bd5289990.setIcon(icon_321d804b18bcdf739d72a2f0ffa226eb);\n",
+       "        \n",
+       "    \n",
+       "        var popup_8c5e106587e78a8f037d74e7c3ae97c7 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
+       "\n",
+       "        \n",
+       "            \n",
+       "                var html_0dcbec2992a153328984b238345daf58 = $(`&lt;div id=&quot;html_0dcbec2992a153328984b238345daf58&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;SOCRadar Cyber Intelligence Inc.&lt;/b&gt; &lt;br&gt;https://socradar.io/labs/cve-radar/&lt;/div&gt;`)[0];\n",
+       "                popup_8c5e106587e78a8f037d74e7c3ae97c7.setContent(html_0dcbec2992a153328984b238345daf58);\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "        marker_24a621987938101ea948162bd5289990.bindPopup(popup_8c5e106587e78a8f037d74e7c3ae97c7)\n",
+       "        ;\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    \n",
+       "            var marker_6c6df217910127be4de7a48abfa87655 = L.marker(\n",
+       "                [39.7837304, -100.445882],\n",
+       "                {\n",
+       "}\n",
+       "            ).addTo(marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794);\n",
+       "        \n",
+       "    \n",
+       "            var icon_25f2a323c5591d02e20e3c9956b30766 = L.AwesomeMarkers.icon(\n",
+       "                {\n",
+       "  &quot;markerColor&quot;: &quot;lightgray&quot;,\n",
+       "  &quot;iconColor&quot;: &quot;white&quot;,\n",
+       "  &quot;icon&quot;: &quot;bug&quot;,\n",
+       "  &quot;prefix&quot;: &quot;fa&quot;,\n",
+       "  &quot;extraClasses&quot;: &quot;fa-rotate-0&quot;,\n",
+       "}\n",
        "            );\n",
-       "            marker_113e2c910e269a2c66726f00a59b6ed5.setIcon(icon_5ffd499ed4c1ad87e2b8de9e74034618);\n",
+       "            marker_6c6df217910127be4de7a48abfa87655.setIcon(icon_25f2a323c5591d02e20e3c9956b30766);\n",
        "        \n",
        "    \n",
-       "        var popup_3f708011511ac47349ce1dff455be9c8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
+       "        var popup_ecabfcb76972c741ebc7402cb01314d3 = L.popup({\n",
+       "  &quot;maxWidth&quot;: &quot;100%&quot;,\n",
+       "});\n",
        "\n",
        "        \n",
        "            \n",
-       "                var html_7b8c8e2a09b28b3d82179e85ab049159 = $(`&lt;div id=&quot;html_7b8c8e2a09b28b3d82179e85ab049159&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Cytiva&lt;/b&gt; &lt;br&gt;https://www.cytivalifesciences.com/en/se/product-security&lt;/div&gt;`)[0];\n",
-       "                popup_3f708011511ac47349ce1dff455be9c8.setContent(html_7b8c8e2a09b28b3d82179e85ab049159);\n",
+       "                var html_3a902b326a45db8eb45f73707b4b6da2 = $(`&lt;div id=&quot;html_3a902b326a45db8eb45f73707b4b6da2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;PTC Inc.&lt;/b&gt; &lt;br&gt;https://www.ptc.com/en/about/trust-center/advisory-center&lt;/div&gt;`)[0];\n",
+       "                popup_ecabfcb76972c741ebc7402cb01314d3.setContent(html_3a902b326a45db8eb45f73707b4b6da2);\n",
        "            \n",
        "        \n",
        "\n",
-       "        marker_113e2c910e269a2c66726f00a59b6ed5.bindPopup(popup_3f708011511ac47349ce1dff455be9c8)\n",
+       "        marker_6c6df217910127be4de7a48abfa87655.bindPopup(popup_ecabfcb76972c741ebc7402cb01314d3)\n",
        "        ;\n",
        "\n",
        "        \n",
        "    \n",
        "    \n",
-       "            marker_cluster_6b85e869512731be2286e87761608e3d.addTo(map_559738d7a1d656c8dac7d19fc9b1cdf4);\n",
+       "            marker_cluster_cadfac0cf0b16e7e52ac7b2ccce51794.addTo(map_a86b9e9327c142a199efdd083537b0ab);\n",
        "        \n",
        "&lt;/script&gt;\n",
        "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
       ],
       "text/plain": [
-       "<folium.folium.Map at 0x7fba37612f10>"
+       "<folium.folium.Map at 0x7f0930fa0ed0>"
       ]
      },
      "execution_count": 4,
@@ -11170,10 +15946,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:28:42.882596Z",
-     "iopub.status.busy": "2024-09-13T08:28:42.882101Z",
-     "iopub.status.idle": "2024-09-13T08:28:42.886474Z",
-     "shell.execute_reply": "2024-09-13T08:28:42.885993Z"
+     "iopub.execute_input": "2025-02-02T04:31:44.804823Z",
+     "iopub.status.busy": "2025-02-02T04:31:44.804251Z",
+     "iopub.status.idle": "2025-02-02T04:31:44.808680Z",
+     "shell.execute_reply": "2025-02-02T04:31:44.808101Z"
     },
     "tags": [
      "remove-input"
@@ -11183,7 +15959,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:28:42.883404**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:31:44.805623**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -11218,7 +15994,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,
diff --git a/CVECVSS.ipynb b/CVECVSS.ipynb
index a6104ad9c5..db858c2a0a 100644
--- a/CVECVSS.ipynb
+++ b/CVECVSS.ipynb
@@ -15,10 +15,10 @@
    "id": "a8face4a-ddee-4bd5-a84e-97f2bd508491",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:54.316128Z",
-     "iopub.status.busy": "2024-09-13T08:29:54.315947Z",
-     "iopub.status.idle": "2024-09-13T08:29:54.715760Z",
-     "shell.execute_reply": "2024-09-13T08:29:54.715090Z"
+     "iopub.execute_input": "2025-02-02T04:33:06.843806Z",
+     "iopub.status.busy": "2025-02-02T04:33:06.843638Z",
+     "iopub.status.idle": "2025-02-02T04:33:07.233859Z",
+     "shell.execute_reply": "2025-02-02T04:33:07.233272Z"
     },
     "tags": [
      "remove-cell"
@@ -61,10 +61,10 @@
    "id": "fb89c5a2-83da-459d-be6c-456a949cf3dd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:54.718620Z",
-     "iopub.status.busy": "2024-09-13T08:29:54.718181Z",
-     "iopub.status.idle": "2024-09-13T08:30:14.724347Z",
-     "shell.execute_reply": "2024-09-13T08:30:14.723793Z"
+     "iopub.execute_input": "2025-02-02T04:33:07.235977Z",
+     "iopub.status.busy": "2025-02-02T04:33:07.235740Z",
+     "iopub.status.idle": "2025-02-02T04:33:31.723353Z",
+     "shell.execute_reply": "2025-02-02T04:33:31.722787Z"
     },
     "tags": [
      "remove-cell"
@@ -193,10 +193,10 @@
    "id": "6eb47510-9e6a-42c4-bb57-34763a056c67",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:14.727177Z",
-     "iopub.status.busy": "2024-09-13T08:30:14.726788Z",
-     "iopub.status.idle": "2024-09-13T08:30:15.147570Z",
-     "shell.execute_reply": "2024-09-13T08:30:15.147032Z"
+     "iopub.execute_input": "2025-02-02T04:33:31.725594Z",
+     "iopub.status.busy": "2025-02-02T04:33:31.725237Z",
+     "iopub.status.idle": "2025-02-02T04:33:32.128707Z",
+     "shell.execute_reply": "2025-02-02T04:33:32.128119Z"
     },
     "tags": [
      "remove-input"
@@ -205,7 +205,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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RRxyRRYsW5be//W2mTJmSBQsWZOONN84ee+yRs846K/vuu+8avY+rr766/OeVN8/5zne+U/7q9Qfp0qVLHn/88XzrW9/KHXfckeuuuy6dOnXKDjvskO9///vldccff3zq6+vzwx/+MPfee2/69OmTn/70p7n99tvzwAMPvO/POPbYY7No0aL8+7//e2pqanLZZZelW7duuf/++3P66afne9/7Xjp16pRTTjkl3bt3z7Bhw5q9/uKLL85mm22Wa665JmeeeWY22WSTnHzyyfnud7+bDTbYoNnalVFzzz33bHa39EGDBmXmzJmrvZ4mAMAnTVXJlcEBAAAAgAJxTU0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQ2lR6gE+KpqamzJkzJx07dkxVVVWlxwEAAACAQimVSlm0aFG6d++eVq3e/1xMUXMdmTNnTnr06FHpMQAAAACg0F599dVsvvnm77tG1FxHOnbsmOSfH3pNTU2FpwEAAACAYmlsbEyPHj3Kne39iJrryMqvnNfU1IiaAAAAALCW1uTSjm4UBAAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFEqbSg8AAADAp0dVz0srPQIfQWn2hZUeASCJMzUBAAAAgIIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQhE1AQAAAIBCETUBAAAAgEIRNQEAAACAQqlo1Lz++uuz0047paamJjU1NRk4cGDuueee8v633norw4cPT6dOnfKZz3wmRxxxRObNm9fsGLNnz86QIUOy4YYbpnPnzjn77LPz9ttvN1vzwAMPZJdddknbtm2z9dZbZ9y4cavMcu2112aLLbZIu3bt0r9//zz++OPr5T0DAAAAAB9NRaPm5ptvnu9973uZPn16nnzyyXzhC1/IIYcckueffz5JcuaZZ+bXv/51br/99kydOjVz5szJ4YcfXn79ihUrMmTIkCxbtiyPPPJIbr755owbNy6jRo0qr5k1a1aGDBmSfffdNzNmzMiIESPy9a9/Pffee295za233pqRI0fmoosuylNPPZWdd945dXV1ef311z++DwMAAAAAWCNVpVKpVOkh3mmTTTbJZZddli9/+cvZbLPNMn78+Hz5y19OkrzwwgvZfvvtM23atAwYMCD33HNPDjrooMyZMyddunRJkowdOzbnnntu5s+fn+rq6px77rm5++6789xzz5V/xlFHHZWFCxdm4sSJSZL+/ftn9913zzXXXJMkaWpqSo8ePXL66afnvPPOW6O5GxsbU1tbm4aGhtTU1KzLjwQAAOATo6rnpZUegY+gNPvCSo8AfIJ9mL7WYq6puWLFivz85z/PkiVLMnDgwEyfPj3Lly/P4MGDy2u222679OzZM9OmTUuSTJs2LX379i0HzSSpq6tLY2Nj+WzPadOmNTvGyjUrj7Fs2bJMnz692ZpWrVpl8ODB5TWrs3Tp0jQ2NjZ7AAAAAADrX8Wj5rPPPpvPfOYzadu2bU455ZTceeed6dOnT+rr61NdXZ2NNtqo2fouXbqkvr4+SVJfX98saK7cv3Lf+61pbGzMm2++mb/97W9ZsWLFatesPMbqjB49OrW1teVHjx491ur9AwAAAAAfTsWj5rbbbpsZM2bksccey6mnnpqhQ4fmD3/4Q6XH+kDnn39+Ghoayo9XX3210iMBAAAAwKdCm0oPUF1dna233jpJsuuuu+aJJ57IVVddlSOPPDLLli3LwoULm52tOW/evHTt2jVJ0rVr11XuUr7y7ujvXPPuO6bPmzcvNTU1ad++fVq3bp3WrVuvds3KY6xO27Zt07Zt27V70wAAAADAWqv4mZrv1tTUlKVLl2bXXXfNBhtskMmTJ5f3zZw5M7Nnz87AgQOTJAMHDsyzzz7b7C7lkyZNSk1NTfr06VNe885jrFyz8hjV1dXZddddm61pamrK5MmTy2sAAAAAgJajomdqnn/++fniF7+Ynj17ZtGiRRk/fnweeOCB3Hvvvamtrc2wYcMycuTIbLLJJqmpqcnpp5+egQMHZsCAAUmS/fffP3369MnXvva1jBkzJvX19bngggsyfPjw8lmUp5xySq655pqcc845OfHEEzNlypTcdtttufvuu8tzjBw5MkOHDs1uu+2WPfbYI1deeWWWLFmSE044oSKfCwAAAADw3ioaNV9//fUcd9xxmTt3bmpra7PTTjvl3nvvzb/8y78kSX7wgx+kVatWOeKII7J06dLU1dXluuuuK7++devWmTBhQk499dQMHDgwHTp0yNChQ/Otb32rvKZ37965++67c+aZZ+aqq67K5ptvnh/96Eepq6srrznyyCMzf/78jBo1KvX19enXr18mTpy4ys2DAAAAAIDKqyqVSqVKD/FJ0NjYmNra2jQ0NKSmpqbS4wAAALRIVT0vrfQIfASl2RdWegTgE+zD9LUWd01NAAAAAID3I2oCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACF0qbSAwAAwMelquellR6Bj6g0+8JKjwAAtADO1AQAAAAACkXUBAAAAAAKRdQEAAAAAApF1AQAAAAACkXUBAAAAAAKRdQEAAAAAApF1AQAAAAACkXUBAAAAAAKRdQEAAAAAApF1AQAAAAACkXUBAAAAAAKRdQEAAAAAApF1AQAAAAACkXUBAAAAAAKRdQEAAAAAApF1AQAAAAACkXUBAAAAAAKpaJRc/To0dl9993TsWPHdO7cOYceemhmzpzZbM3nP//5VFVVNXuccsopzdbMnj07Q4YMyYYbbpjOnTvn7LPPzttvv91szQMPPJBddtklbdu2zdZbb51x48atMs+1116bLbbYIu3atUv//v3z+OOPr/P3DAAAAAB8NBWNmlOnTs3w4cPz6KOPZtKkSVm+fHn233//LFmypNm6k046KXPnzi0/xowZU963YsWKDBkyJMuWLcsjjzySm2++OePGjcuoUaPKa2bNmpUhQ4Zk3333zYwZMzJixIh8/etfz7333ltec+utt2bkyJG56KKL8tRTT2XnnXdOXV1dXn/99fX/QQAAAAAAa6yqVCqVKj3ESvPnz0/nzp0zderU7LPPPkn+eaZmv379cuWVV672Nffcc08OOuigzJkzJ126dEmSjB07Nueee27mz5+f6urqnHvuubn77rvz3HPPlV931FFHZeHChZk4cWKSpH///tl9991zzTXXJEmamprSo0ePnH766TnvvPM+cPbGxsbU1tamoaEhNTU1H+VjAABgPanqeWmlR+AjKs2+sNIj8BH5e1hs/g4C69OH6Wst6pqaDQ0NSZJNNtmk2fZbbrklm266aXbcccecf/75+cc//lHeN23atPTt27ccNJOkrq4ujY2Nef7558trBg8e3OyYdXV1mTZtWpJk2bJlmT59erM1rVq1yuDBg8tr3m3p0qVpbGxs9gAAAAAA1r82lR5gpaampowYMSJ77bVXdtxxx/L2r371q+nVq1e6d++eZ555Jueee25mzpyZO+64I0lSX1/fLGgmKT+vr69/3zWNjY15880388Ybb2TFihWrXfPCCy+sdt7Ro0fnkksu+WhvGgAAAAD40FpM1Bw+fHiee+65PPzww822n3zyyeU/9+3bN926dct+++2Xl156KVtttdXHPWbZ+eefn5EjR5afNzY2pkePHhWbBwAAAAA+LVpE1DzttNMyYcKEPPjgg9l8883fd23//v2TJH/+85+z1VZbpWvXrqvcpXzevHlJkq5du5b/c+W2d66pqalJ+/bt07p167Ru3Xq1a1Ye493atm2btm3brvmbBAAAAADWiYpeU7NUKuW0007LnXfemSlTpqR3794f+JoZM2YkSbp165YkGThwYJ599tlmdymfNGlSampq0qdPn/KayZMnNzvOpEmTMnDgwCRJdXV1dt1112ZrmpqaMnny5PIaAAAAAKBlqOiZmsOHD8/48ePzy1/+Mh07dixfA7O2tjbt27fPSy+9lPHjx+fAAw9Mp06d8swzz+TMM8/MPvvsk5122ilJsv/++6dPnz752te+ljFjxqS+vj4XXHBBhg8fXj6T8pRTTsk111yTc845JyeeeGKmTJmS2267LXfffXd5lpEjR2bo0KHZbbfdsscee+TKK6/MkiVLcsIJJ3z8HwwAAAAA8J4qGjWvv/76JMnnP//5ZttvuummHH/88amurs59991XDow9evTIEUcckQsuuKC8tnXr1pkwYUJOPfXUDBw4MB06dMjQoUPzrW99q7ymd+/eufvuu3PmmWfmqquuyuabb54f/ehHqaurK6858sgjM3/+/IwaNSr19fXp169fJk6cuMrNgwAAAACAyqoqlUqlSg/xSdDY2Jja2to0NDSkpqam0uMAALAaVT0vrfQIfESl2RdWegQ+In8Pi83fQWB9+jB9raLX1AQAAAAA+LBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQ2lR6AACAoqjqeWmlRwAAAOJMTQAAAACgYERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQKho1R48end133z0dO3ZM586dc+ihh2bmzJnN1rz11lsZPnx4OnXqlM985jM54ogjMm/evGZrZs+enSFDhmTDDTdM586dc/bZZ+ftt99utuaBBx7ILrvskrZt22brrbfOuHHjVpnn2muvzRZbbJF27dqlf//+efzxx9f5ewYAAAAAPpqKRs2pU6dm+PDhefTRRzNp0qQsX748+++/f5YsWVJec+aZZ+bXv/51br/99kydOjVz5szJ4YcfXt6/YsWKDBkyJMuWLcsjjzySm2++OePGjcuoUaPKa2bNmpUhQ4Zk3333zYwZMzJixIh8/etfz7333ltec+utt2bkyJG56KKL8tRTT2XnnXdOXV1dXn/99Y/nwwAAAAAA1khVqVQqVXqIlebPn5/OnTtn6tSp2WeffdLQ0JDNNtss48ePz5e//OUkyQsvvJDtt98+06ZNy4ABA3LPPffkoIMOypw5c9KlS5ckydixY3Puuedm/vz5qa6uzrnnnpu77747zz33XPlnHXXUUVm4cGEmTpyYJOnfv3923333XHPNNUmSpqam9OjRI6effnrOO++8D5y9sbExtbW1aWhoSE1Nzbr+aACAFqCq56WVHgE+9UqzL6z0CHxEfpcWm7+DwPr0Yfpai7qmZkNDQ5Jkk002SZJMnz49y5cvz+DBg8trtttuu/Ts2TPTpk1LkkybNi19+/YtB80kqaurS2NjY55//vnymnceY+WalcdYtmxZpk+f3mxNq1atMnjw4PKad1u6dGkaGxubPQAAAACA9a/FRM2mpqaMGDEie+21V3bcccckSX19faqrq7PRRhs1W9ulS5fU19eX17wzaK7cv3Lf+61pbGzMm2++mb/97W9ZsWLFatesPMa7jR49OrW1teVHjx491u6NAwAAAAAfSouJmsOHD89zzz2Xn//855UeZY2cf/75aWhoKD9effXVSo8EAAAAAJ8KbSo9QJKcdtppmTBhQh588MFsvvnm5e1du3bNsmXLsnDhwmZna86bNy9du3Ytr3n3XcpX3h39nWvefcf0efPmpaamJu3bt0/r1q3TunXr1a5ZeYx3a9u2bdq2bbt2bxgAAAAAWGsVPVOzVCrltNNOy5133pkpU6akd+/ezfbvuuuu2WCDDTJ58uTytpkzZ2b27NkZOHBgkmTgwIF59tlnm92lfNKkSampqUmfPn3Ka955jJVrVh6juro6u+66a7M1TU1NmTx5cnkNAAAAANAyVPRMzeHDh2f8+PH55S9/mY4dO5avX1lbW5v27duntrY2w4YNy8iRI7PJJpukpqYmp59+egYOHJgBAwYkSfbff//06dMnX/va1zJmzJjU19fnggsuyPDhw8tnUp5yyim55pprcs455+TEE0/MlClTctttt+Xuu+8uzzJy5MgMHTo0u+22W/bYY49ceeWVWbJkSU444YSP/4MBAAAAAN5TRaPm9ddfnyT5/Oc/32z7TTfdlOOPPz5J8oMf/CCtWrXKEUcckaVLl6auri7XXXddeW3r1q0zYcKEnHrqqRk4cGA6dOiQoUOH5lvf+lZ5Te/evXP33XfnzDPPzFVXXZXNN988P/rRj1JXV1dec+SRR2b+/PkZNWpU6uvr069fv0ycOHGVmwcBAAAAAJVVVSqVSpUe4pOgsbExtbW1aWhoSE1NTaXHAQDWg6qel1Z6BPjUK82+sNIj8BH5XVps/g4C69OH6Wst5u7nAAAAAABrQtQEAAAAAApF1AQAAAAACkXUBAAAAAAKRdQEAAAAAApF1AQAAAAACkXUBAAAAAAKRdQEAAAAAApF1AQAAAAACkXUBAAAAAAKZa2i5ssvv7yu5wAAAAAAWCNrFTW33nrr7LvvvvnpT3+at956a13PBAAAAADwntYqaj711FPZaaedMnLkyHTt2jX/9m//lscff3xdzwYAAAAAsIq1ipr9+vXLVVddlTlz5uTHP/5x5s6dm7333js77rhjrrjiisyfP39dzwkAAAAAkOQj3iioTZs2Ofzww3P77bfn+9//fv785z/nG9/4Rnr06JHjjjsuc+fOXVdzAgAAAAAk+YhR88knn8y///u/p1u3brniiivyjW98Iy+99FImTZqUOXPm5JBDDllXcwIAAAAAJEnarM2Lrrjiitx0002ZOXNmDjzwwPzkJz/JgQcemFat/tlIe/funXHjxmWLLbZYl7MCAAAAAKxd1Lz++utz4okn5vjjj0+3bt1Wu6Zz58658cYbP9JwAAAAAADvtlZR88UXX/zANdXV1Rk6dOjaHB4AAAAA4D2t1TU1b7rpptx+++2rbL/99ttz8803f+ShAAAAAADey1pFzdGjR2fTTTddZXvnzp3z3e9+9yMPBQAAAADwXtYqas6ePTu9e/deZXuvXr0ye/bsjzwUAAAAAMB7Wauo2blz5zzzzDOrbP/973+fTp06feShAAAAAADey1pFzaOPPjr/8R//kfvvvz8rVqzIihUrMmXKlJxxxhk56qij1vWMAAAAAABla3X380svvTSvvPJK9ttvv7Rp889DNDU15bjjjnNNTQAAAABgvVqrqFldXZ1bb701l156aX7/+9+nffv26du3b3r16rWu5wMAAAAAaGatouZKn/3sZ/PZz352Xc0CAAAAAPCB1ipqrlixIuPGjcvkyZPz+uuvp6mpqdn+KVOmrJPhAAAAAADeba2i5hlnnJFx48ZlyJAh2XHHHVNVVbWu5wIAAAAAWK21ipo///nPc9ttt+XAAw9c1/MAAAAAALyvVmvzourq6my99dbrehYAAAAAgA+0VlHzrLPOylVXXZVSqbSu5wEAAAAAeF9r9fXzhx9+OPfff3/uueee7LDDDtlggw2a7b/jjjvWyXAAAAAAAO+2VlFzo402ymGHHbauZwEAAAAA+EBrFTVvuummdT0HAAAAAMAaWatraibJ22+/nfvuuy8//OEPs2jRoiTJnDlzsnjx4nU2HAAAAADAu63VmZp/+ctfcsABB2T27NlZunRp/uVf/iUdO3bM97///SxdujRjx45d13MCAAAAACRZyzM1zzjjjOy2225544030r59+/L2ww47LJMnT15nwwEAAAAAvNtanan50EMP5ZFHHkl1dXWz7VtssUX++te/rpPBAAAAAABWZ63O1GxqasqKFStW2f7aa6+lY8eOH3koAAAAAID3slZRc//998+VV15Zfl5VVZXFixfnoosuyoEHHriuZgMAAAAAWMVaff388ssvT11dXfr06ZO33norX/3qV/Piiy9m0003zc9+9rN1PSMAAAAAQNlaRc3NN988v//97/Pzn/88zzzzTBYvXpxhw4blmGOOaXbjIAAAAACAdW2tomaStGnTJscee+y6nAUAAAAA4AOtVdT8yU9+8r77jzvuuLUaBgAAAADgg6xV1DzjjDOaPV++fHn+8Y9/pLq6OhtuuKGoCQAAAACsN2t19/M33nij2WPx4sWZOXNm9t57bzcKAgAAAADWq7WKmquzzTbb5Hvf+94qZ3ECAAAAAKxL6yxqJv+8edCcOXPW5SEBAAAAAJpZq2tq/upXv2r2vFQqZe7cubnmmmuy1157rZPBAAAAAABWZ62i5qGHHtrseVVVVTbbbLN84QtfyOWXX74u5gIAAAAAWK21ippNTU3reg4AAAAAgDWyTq+pCQAAAACwvq3VmZojR45c47VXXHHF2vwIAAAAAIDVWquo+fTTT+fpp5/O8uXLs+222yZJ/vSnP6V169bZZZddyuuqqqrWzZQAAAAAAP9jraLmwQcfnI4dO+bmm2/OxhtvnCR54403csIJJ2TQoEE566yz1umQAAAAAHx0VT0vrfQIfESl2RdWeoQWYa2uqXn55Zdn9OjR5aCZJBtvvHG+/e1vu/s5AAAAALBerVXUbGxszPz581fZPn/+/CxatOgjDwUAAAAA8F7WKmoedthhOeGEE3LHHXfktddey2uvvZZf/OIXGTZsWA4//PB1PSMAAAAAQNlaXVNz7Nix+cY3vpGvfvWrWb58+T8P1KZNhg0blssuu2ydDggAAAAA8E5rFTU33HDDXHfddbnsssvy0ksvJUm22mqrdOjQYZ0OBwAAAADwbmv19fOV5s6dm7lz52abbbZJhw4dUiqV1tVcAAAAAACrtVZR8+9//3v222+/fPazn82BBx6YuXPnJkmGDRuWs846a50OCAAAAADwTmsVNc8888xssMEGmT17djbccMPy9iOPPDITJ05cZ8MBAAAAALzbWl1T87e//W3uvffebL755s22b7PNNvnLX/6yTgYDAAAAAFidtTpTc8mSJc3O0FxpwYIFadu27UceCgAAAADgvaxV1Bw0aFB+8pOflJ9XVVWlqakpY8aMyb777rvOhgMAAAAAeLe1+vr5mDFjst9+++XJJ5/MsmXLcs455+T555/PggUL8rvf/W5dzwgAAAAAULZWZ2ruuOOO+dOf/pS99947hxxySJYsWZLDDz88Tz/9dLbaaqt1PSMAAAAAQNmHPlNz+fLlOeCAAzJ27Nh885vfXB8zAQAAAAC8pw99puYGG2yQZ555Zn3MAgAAAADwgdbq6+fHHntsbrzxxnU9CwAAAADAB1qrGwW9/fbb+fGPf5z77rsvu+66azp06NBs/xVXXLFOhgMAAABajqqel1Z6BIAkHzJqvvzyy9liiy3y3HPPZZdddkmS/OlPf2q2pqqqat1NBwAAAADwLh8qam6zzTaZO3du7r///iTJkUcemauvvjpdunRZL8MBAAAAALzbh7qmZqlUavb8nnvuyZIlS9bpQAAAAAAA72etbhS00rsjJwAAAADA+vahomZVVdUq18x0DU0AAAAA4OP0ob9+fvzxx+fwww/P4YcfnrfeeiunnHJK+fnKx5p68MEHc/DBB6d79+6pqqrKXXfd1Wz/8ccfXw6pKx8HHHBAszULFizIMccck5qammy00UYZNmxYFi9e3GzNM888k0GDBqVdu3bp0aNHxowZs8ost99+e7bbbru0a9cuffv2zW9+85s1/2AAAAAAgI/Nh4qaQ4cOTefOnVNbW5va2toce+yx6d69e/n5yseaWrJkSXbeeedce+2177nmgAMOyNy5c8uPn/3sZ832H3PMMXn++eczadKkTJgwIQ8++GBOPvnk8v7Gxsbsv//+6dWrV6ZPn57LLrssF198cW644YbymkceeSRHH310hg0blqeffjqHHnpoDj300Dz33HMf4tMBAAAAAD4OVaUWcmHMqqqq3HnnnTn00EPL244//vgsXLhwlTM4V/rjH/+YPn365Iknnshuu+2WJJk4cWIOPPDAvPbaa+nevXuuv/76fPOb30x9fX2qq6uTJOedd17uuuuuvPDCC0n+eRf3JUuWZMKECeVjDxgwIP369cvYsWPXaP7GxsbU1tamoaEhNTU1a/EJAAAtXVXPSys9AnzqlWZfWOkR+Ij8LgX4aD7J/y78MH3tI90o6OPwwAMPpHPnztl2221z6qmn5u9//3t537Rp07LRRhuVg2aSDB48OK1atcpjjz1WXrPPPvuUg2aS1NXVZebMmXnjjTfKawYPHtzs59bV1WXatGnr860BAAAAAGuhTaUHeD8HHHBADj/88PTu3TsvvfRS/vM//zNf/OIXM23atLRu3Tr19fXp3Llzs9e0adMmm2yySerr65Mk9fX16d27d7M1Xbp0Ke/beOONU19fX972zjUrj7E6S5cuzdKlS8vPGxsbP9J7BQAAAADWTIuOmkcddVT5z3379s1OO+2UrbbaKg888ED222+/Ck6WjB49OpdccklFZwAAAACAT6MW//Xzd9pyyy2z6aab5s9//nOSpGvXrnn99debrXn77bezYMGCdO3atbxm3rx5zdasfP5Ba1buX53zzz8/DQ0N5cerr7760d4cAAAAALBGChU1X3vttfz9739Pt27dkiQDBw7MwoULM3369PKaKVOmpKmpKf379y+vefDBB7N8+fLymkmTJmXbbbfNxhtvXF4zefLkZj9r0qRJGThw4HvO0rZt29TU1DR7AAAAAADrX0Wj5uLFizNjxozMmDEjSTJr1qzMmDEjs2fPzuLFi3P22Wfn0UcfzSuvvJLJkyfnkEMOydZbb526urokyfbbb58DDjggJ510Uh5//PH87ne/y2mnnZajjjoq3bt3T5J89atfTXV1dYYNG5bnn38+t956a6666qqMHDmyPMcZZ5yRiRMn5vLLL88LL7yQiy++OE8++WROO+20j/0zAQAAAADeX0Wj5pNPPpnPfe5z+dznPpckGTlyZD73uc9l1KhRad26dZ555pl86Utfymc/+9kMGzYsu+66ax566KG0bdu2fIxbbrkl2223Xfbbb78ceOCB2XvvvXPDDTeU99fW1ua3v/1tZs2alV133TVnnXVWRo0alZNPPrm8Zs8998z48eNzww03ZOedd85///d/56677sqOO+748X0YAAAAAMAaqSqVSqVKD/FJ0NjYmNra2jQ0NPgqOgB8QlX1vLTSI8CnXmn2hZUegY/I71KAj+aT/O/CD9PXCnVNTQAAAAAAURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACiUNpUeAAA+Tap6XlrpEQAAAArPmZoAAAAAQKGImgAAAABAoYiaAAAAAEChiJoAAAAAQKGImgAAAABAoYiaAAAAAEChiJoAAAAAQKGImgAAAABAobSp9AAAAABrqqrnpZUeAQBoAZypCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABRKRaPmgw8+mIMPPjjdu3dPVVVV7rrrrmb7S6VSRo0alW7duqV9+/YZPHhwXnzxxWZrFixYkGOOOSY1NTXZaKONMmzYsCxevLjZmmeeeSaDBg1Ku3bt0qNHj4wZM2aVWW6//fZst912adeuXfr27Zvf/OY36/z9AgAAAAAfXUWj5pIlS7Lzzjvn2muvXe3+MWPG5Oqrr87YsWPz2GOPpUOHDqmrq8tbb71VXnPMMcfk+eefz6RJkzJhwoQ8+OCDOfnkk8v7Gxsbs//++6dXr16ZPn16Lrvsslx88cW54YYbymseeeSRHH300Rk2bFiefvrpHHrooTn00EPz3HPPrb83DwAAAACslapSqVSq9BBJUlVVlTvvvDOHHnpokn+epdm9e/ecddZZ+cY3vpEkaWhoSJcuXTJu3LgcddRR+eMf/5g+ffrkiSeeyG677ZYkmThxYg488MC89tpr6d69e66//vp885vfTH19faqrq5Mk5513Xu6666688MILSZIjjzwyS5YsyYQJE8rzDBgwIP369cvYsWPXaP7GxsbU1tamoaEhNTU16+pjAeATpqrnpZUeAQAAKLDS7AsrPcJ682H6Wou9puasWbNSX1+fwYMHl7fV1tamf//+mTZtWpJk2rRp2WijjcpBM0kGDx6cVq1a5bHHHiuv2WeffcpBM0nq6uoyc+bMvPHGG+U17/w5K9es/Dmrs3Tp0jQ2NjZ7AAAAAADrX4uNmvX19UmSLl26NNvepUuX8r76+vp07ty52f42bdpkk002abZmdcd45894rzUr96/O6NGjU1tbW3706NHjw75FAAAAAGAttNio2dKdf/75aWhoKD9effXVSo8EAAAAAJ8KLTZqdu3aNUkyb968ZtvnzZtX3te1a9e8/vrrzfa//fbbWbBgQbM1qzvGO3/Ge61ZuX912rZtm5qammYPAAAAAGD9a7FRs3fv3unatWsmT55c3tbY2JjHHnssAwcOTJIMHDgwCxcuzPTp08trpkyZkqampvTv37+85sEHH8zy5cvLayZNmpRtt902G2+8cXnNO3/OyjUrfw4AAAAA0HJUNGouXrw4M2bMyIwZM5L88+ZAM2bMyOzZs1NVVZURI0bk29/+dn71q1/l2WefzXHHHZfu3buX75C+/fbb54ADDshJJ52Uxx9/PL/73e9y2mmn5aijjkr37t2TJF/96ldTXV2dYcOG5fnnn8+tt96aq666KiNHjizPccYZZ2TixIm5/PLL88ILL+Tiiy/Ok08+mdNOO+3j/kgAAAAAgA/QppI//Mknn8y+++5bfr4yNA4dOjTjxo3LOeeckyVLluTkk0/OwoULs/fee2fixIlp165d+TW33HJLTjvttOy3335p1apVjjjiiFx99dXl/bW1tfntb3+b4cOHZ9ddd82mm26aUaNG5eSTTy6v2XPPPTN+/PhccMEF+c///M9ss802ueuuu7Ljjjt+DJ8CAAAAAPBhVJVKpVKlh/gkaGxsTG1tbRoaGlxfE4D3VNXz0kqPAAAAFFhp9oWVHmG9+TB9rcVeUxMAAAAAYHVETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQRE0AAAAAoFBETQAAAACgUERNAAAAAKBQWnTUvPjii1NVVdXssd1225X3v/XWWxk+fHg6deqUz3zmMzniiCMyb968ZseYPXt2hgwZkg033DCdO3fO2WefnbfffrvZmgceeCC77LJL2rZtm6233jrjxo37ON4eAAAAALAWWnTUTJIddtghc+fOLT8efvjh8r4zzzwzv/71r3P77bdn6tSpmTNnTg4//PDy/hUrVmTIkCFZtmxZHnnkkdx8880ZN25cRo0aVV4za9asDBkyJPvuu29mzJiRESNG5Otf/3ruvffej/V9AgAAAABrpk2lB/ggbdq0SdeuXVfZ3tDQkBtvvDHjx4/PF77whSTJTTfdlO233z6PPvpoBgwYkN/+9rf5wx/+kPvuuy9dunRJv379cumll+bcc8/NxRdfnOrq6owdOza9e/fO5ZdfniTZfvvt8/DDD+cHP/hB6urqPtb3CgAAAAB8sBZ/puaLL76Y7t27Z8stt8wxxxyT2bNnJ0mmT5+e5cuXZ/DgweW12223XXr27Jlp06YlSaZNm5a+ffumS5cu5TV1dXVpbGzM888/X17zzmOsXLPyGAAAAABAy9Kiz9Ts379/xo0bl2233TZz587NJZdckkGDBuW5555LfX19qqurs9FGGzV7TZcuXVJfX58kqa+vbxY0V+5fue/91jQ2NubNN99M+/btVzvb0qVLs3Tp0vLzxsbGj/ReAQAAAIA106Kj5he/+MXyn3faaaf0798/vXr1ym233faesfHjMnr06FxyySUVnQEAAAAAPo1a/NfP32mjjTbKZz/72fz5z39O165ds2zZsixcuLDZmnnz5pWvwdm1a9dV7oa+8vkHrampqXnfcHr++eenoaGh/Hj11Vc/6tsDAAAAANZAoaLm4sWL89JLL6Vbt27Zdddds8EGG2Ty5Mnl/TNnzszs2bMzcODAJMnAgQPz7LPP5vXXXy+vmTRpUmpqatKnT5/ymnceY+Walcd4L23btk1NTU2zBwAAAACw/rXoqPmNb3wjU6dOzSuvvJJHHnkkhx12WFq3bp2jjz46tbW1GTZsWEaOHJn7778/06dPzwknnJCBAwdmwIABSZL9998/ffr0yde+9rX8/ve/z7333psLLrggw4cPT9u2bZMkp5xySl5++eWcc845eeGFF3Ldddfltttuy5lnnlnJtw4AAAAAvIcWfU3N1157LUcffXT+/ve/Z7PNNsvee++dRx99NJtttlmS5Ac/+EFatWqVI444IkuXLk1dXV2uu+668utbt26dCRMm5NRTT83AgQPToUOHDB06NN/61rfKa3r37p277747Z555Zq666qpsvvnm+dGPfpS6urqP/f0CAAAAAB+sqlQqlSo9xCdBY2Njamtr09DQ4KvoALynqp6XVnoEAACgwEqzL6z0COvNh+lrLfrr5wAAAAAA7yZqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACF0qbSAwCw5qp6XlrpEQAAAKDinKkJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUiqgJAAAAABSKqAkAAAAAFIqoCQAAAAAUSptKDwB8fKp6XlrpEQAAAAA+MmdqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIUiagIAAAAAhSJqAgAAAACFImoCAAAAAIXSptIDUCxVPS+t9AgAAAAAfMo5UxMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUUfNdrr322myxxRZp165d+vfvn8cff7zSIwEAAAAA7yBqvsOtt96akSNH5qKLLspTTz2VnXfeOXV1dXn99dcrPRoAAAAA8D9EzXe44oorctJJJ+WEE05Inz59Mnbs2Gy44Yb58Y9/XOnRAAAAAID/0abSA7QUy5Yty/Tp03P++eeXt7Vq1SqDBw/OtGnTVlm/dOnSLF26tPy8oaEhSdLY2Lj+h62kprcqPQEAAADAp9YnuT2tfG+lUukD14qa/+Nvf/tbVqxYkS5dujTb3qVLl7zwwgurrB89enQuueSSVbb36NFjvc0IAAAAwKdbbe13Kz3Cerdo0aLU1ta+7xpRcy2df/75GTlyZPl5U1NTFixYkE6dOqWqqqqCk/FhNDY2pkePHnn11VdTU1NT6XGAFs7vDGBN+X0BrCm/L4AP45P+O6NUKmXRokXp3r37B64VNf/HpptumtatW2fevHnNts+bNy9du3ZdZX3btm3Ttm3bZts22mij9Tki61FNTc0n8pcBsH74nQGsKb8vgDXl9wXwYXySf2d80BmaK7lR0P+orq7OrrvumsmTJ5e3NTU1ZfLkyRk4cGAFJwMAAAAA3smZmu8wcuTIDB06NLvttlv22GOPXHnllVmyZElOOOGESo8GAAAAAPwPUfMdjjzyyMyfPz+jRo1KfX19+vXrl4kTJ65y8yA+Odq2bZuLLrpolUsJAKyO3xnAmvL7AlhTfl8AH4bfGf9PVWlN7pEOAAAAANBCuKYmAAAAAFAooiYAAAAAUCiiJgAAAABQKKImAAAAAFAooiafSqNHj87uu++ejh07pnPnzjn00EMzc+bMSo8FFMD3vve9VFVVZcSIEZUeBWih/vrXv+bYY49Np06d0r59+/Tt2zdPPvlkpccCWpgVK1bkwgsvTO/evdO+fftstdVWufTSS+NevkCSPPjggzn44IPTvXv3VFVV5a677mq2v1QqZdSoUenWrVvat2+fwYMH58UXX6zMsBUiavKpNHXq1AwfPjyPPvpoJk2alOXLl2f//ffPkiVLKj0a0II98cQT+eEPf5iddtqp0qMALdQbb7yRvfbaKxtssEHuueee/OEPf8jll1+ejTfeuNKjAS3M97///Vx//fW55ppr8sc//jHf//73M2bMmPzf//t/Kz0a0AIsWbIkO++8c6699trV7h8zZkyuvvrqjB07No899lg6dOiQurq6vPXWWx/zpJVTVfJ/A0Hmz5+fzp07Z+rUqdlnn30qPQ7QAi1evDi77LJLrrvuunz7299Ov379cuWVV1Z6LKCFOe+88/K73/0uDz30UKVHAVq4gw46KF26dMmNN95Y3nbEEUekffv2+elPf1rByYCWpqqqKnfeeWcOPfTQJP88S7N79+4566yz8o1vfCNJ0tDQkC5dumTcuHE56qijKjjtx8eZmpB//uVPkk022aTCkwAt1fDhwzNkyJAMHjy40qMALdivfvWr7LbbbvnKV76Szp0753Of+1z+67/+q9JjAS3QnnvumcmTJ+dPf/pTkuT3v/99Hn744Xzxi1+s8GRASzdr1qzU19c3+98mtbW16d+/f6ZNm1bByT5ebSo9AFRaU1NTRowYkb322is77rhjpccBWqCf//zneeqpp/LEE09UehSghXv55Zdz/fXXZ+TIkfnP//zPPPHEE/mP//iPVFdXZ+jQoZUeD2hBzjvvvDQ2Nma77bZL69ats2LFinznO9/JMcccU+nRgBauvr4+SdKlS5dm27t06VLe92kgavKpN3z48Dz33HN5+OGHKz0K0AK9+uqrOeOMMzJp0qS0a9eu0uMALVxTU1N22223fPe7302SfO5zn8tzzz2XsWPHippAM7fddltuueWWjB8/PjvssENmzJiRESNGpHv37n5fAKwBXz/nU+20007LhAkTcv/992fzzTev9DhACzR9+vS8/vrr2WWXXdKmTZu0adMmU6dOzdVXX502bdpkxYoVlR4RaEG6deuWPn36NNu2/fbbZ/bs2RWaCGipzj777Jx33nk56qij0rdv33zta1/LmWeemdGjR1d6NKCF69q1a5Jk3rx5zbbPmzevvO/TQNTkU6lUKuW0007LnXfemSlTpqR3796VHgloofbbb788++yzmTFjRvmx22675ZhjjsmMGTPSunXrSo8ItCB77bVXZs6c2Wzbn/70p/Tq1atCEwEt1T/+8Y+0atX8f5K3bt06TU1NFZoIKIrevXuna9eumTx5cnlbY2NjHnvssQwcOLCCk328fP2cT6Xhw4dn/Pjx+eUvf5mOHTuWrzlRW1ub9u3bV3g6oCXp2LHjKtfb7dChQzp16uQ6vMAqzjzzzOy555757ne/m3/913/N448/nhtuuCE33HBDpUcDWpiDDz443/nOd9KzZ8/ssMMOefrpp3PFFVfkxBNPrPRoQAuwePHi/PnPfy4/nzVrVmbMmJFNNtkkPXv2zIgRI/Ltb38722yzTXr37p0LL7ww3bt3L98h/dOgqlQqlSo9BHzcqqqqVrv9pptuyvHHH//xDgMUzuc///n069cvV155ZaVHAVqgCRMm5Pzzz8+LL76Y3r17Z+TIkTnppJMqPRbQwixatCgXXnhh7rzzzrz++uvp3r17jj766IwaNSrV1dWVHg+osAceeCD77rvvKtuHDh2acePGpVQq5aKLLsoNN9yQhQsXZu+99851112Xz372sxWYtjJETQAAAACgUFxTEwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKBRREwAAAAAoFFETAAAAACgUURMAAAAAKJT/H0SrBtRxbl+PAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -234,10 +234,10 @@
    "id": "c6d18498-a8bb-4a2c-86b3-88d7a0f1e35a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:15.150069Z",
-     "iopub.status.busy": "2024-09-13T08:30:15.149617Z",
-     "iopub.status.idle": "2024-09-13T08:30:15.162633Z",
-     "shell.execute_reply": "2024-09-13T08:30:15.162156Z"
+     "iopub.execute_input": "2025-02-02T04:33:32.130753Z",
+     "iopub.status.busy": "2025-02-02T04:33:32.130325Z",
+     "iopub.status.idle": "2025-02-02T04:33:32.142977Z",
+     "shell.execute_reply": "2025-02-02T04:33:32.142537Z"
     },
     "tags": [
      "remove-input"
@@ -247,15 +247,15 @@
     {
      "data": {
       "text/plain": [
-       "(0.999, 2.0]       31\n",
-       "(2.0, 3.0]        663\n",
-       "(3.0, 4.0]       2170\n",
-       "(4.0, 5.0]      10968\n",
-       "(8.0, 9.0]      16875\n",
-       "(9.0, 10.0]     19027\n",
-       "(5.0, 6.0]      22356\n",
-       "(6.0, 7.0]      22607\n",
-       "(7.0, 8.0]      34107\n",
+       "(0.999, 2.0]      112\n",
+       "(2.0, 3.0]       1280\n",
+       "(3.0, 4.0]       4314\n",
+       "(4.0, 5.0]      13788\n",
+       "(8.0, 9.0]      17756\n",
+       "(9.0, 10.0]     18265\n",
+       "(5.0, 6.0]      26460\n",
+       "(6.0, 7.0]      27579\n",
+       "(7.0, 8.0]      37361\n",
        "Name: count, dtype: int64"
       ]
      },
@@ -282,10 +282,10 @@
    "id": "2df22bea-1428-47c6-b9aa-d9f9370490e9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:15.164856Z",
-     "iopub.status.busy": "2024-09-13T08:30:15.164501Z",
-     "iopub.status.idle": "2024-09-13T08:30:15.196753Z",
-     "shell.execute_reply": "2024-09-13T08:30:15.196115Z"
+     "iopub.execute_input": "2025-02-02T04:33:32.144959Z",
+     "iopub.status.busy": "2025-02-02T04:33:32.144605Z",
+     "iopub.status.idle": "2025-02-02T04:33:32.179765Z",
+     "shell.execute_reply": "2025-02-02T04:33:32.179280Z"
     },
     "tags": [
      "remove-input"
@@ -296,11 +296,11 @@
      "data": {
       "text/plain": [
        "AttackVector\n",
-       "Missing_Data        133937\n",
-       "NETWORK              94594\n",
-       "LOCAL                29868\n",
-       "ADJACENT_NETWORK      3041\n",
-       "PHYSICAL              1316\n",
+       "Missing_Data        132829\n",
+       "NETWORK             105581\n",
+       "LOCAL                35087\n",
+       "ADJACENT_NETWORK      4677\n",
+       "PHYSICAL              1585\n",
        "Name: count, dtype: int64"
       ]
      },
@@ -319,10 +319,10 @@
    "id": "49dd1629-708b-42a3-8716-59ff9fc381b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:15.199197Z",
-     "iopub.status.busy": "2024-09-13T08:30:15.198843Z",
-     "iopub.status.idle": "2024-09-13T08:30:15.229278Z",
-     "shell.execute_reply": "2024-09-13T08:30:15.228704Z"
+     "iopub.execute_input": "2025-02-02T04:33:32.181625Z",
+     "iopub.status.busy": "2025-02-02T04:33:32.181312Z",
+     "iopub.status.idle": "2025-02-02T04:33:32.213137Z",
+     "shell.execute_reply": "2025-02-02T04:33:32.212575Z"
     },
     "tags": [
      "remove-input"
@@ -333,10 +333,10 @@
      "data": {
       "text/plain": [
        "AttackVector\n",
-       "Missing_Data        0.51\n",
-       "NETWORK             0.36\n",
-       "LOCAL               0.11\n",
-       "ADJACENT_NETWORK    0.01\n",
+       "Missing_Data        0.47\n",
+       "NETWORK             0.38\n",
+       "LOCAL               0.13\n",
+       "ADJACENT_NETWORK    0.02\n",
        "PHYSICAL            0.01\n",
        "Name: proportion, dtype: float64"
       ]
@@ -364,10 +364,10 @@
    "id": "a308f41c-a8ca-47d5-a031-68ed3b741fad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:15.231699Z",
-     "iopub.status.busy": "2024-09-13T08:30:15.231336Z",
-     "iopub.status.idle": "2024-09-13T08:30:16.213809Z",
-     "shell.execute_reply": "2024-09-13T08:30:16.213255Z"
+     "iopub.execute_input": "2025-02-02T04:33:32.214876Z",
+     "iopub.status.busy": "2025-02-02T04:33:32.214695Z",
+     "iopub.status.idle": "2025-02-02T04:33:33.245012Z",
+     "shell.execute_reply": "2025-02-02T04:33:33.244509Z"
     },
     "tags": [
      "remove-input"
@@ -379,630 +379,655 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_154be\">\n",
+       "<table id=\"T_8e70e\">\n",
        "  <thead>\n",
        "    <tr>\n",
-       "      <th id=\"T_154be_level0_col0\" class=\"col_heading level0 col0\" >Year</th>\n",
-       "      <th id=\"T_154be_level0_col1\" class=\"col_heading level0 col1\" >AttackVector</th>\n",
-       "      <th id=\"T_154be_level0_col2\" class=\"col_heading level0 col2\" >AttackVectorCount</th>\n",
+       "      <th id=\"T_8e70e_level0_col0\" class=\"col_heading level0 col0\" >Year</th>\n",
+       "      <th id=\"T_8e70e_level0_col1\" class=\"col_heading level0 col1\" >AttackVector</th>\n",
+       "      <th id=\"T_8e70e_level0_col2\" class=\"col_heading level0 col2\" >AttackVectorCount</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row0_col0\" class=\"data row0 col0\" >2024</td>\n",
-       "      <td id=\"T_154be_row0_col1\" class=\"data row0 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row0_col2\" class=\"data row0 col2\" >17492</td>\n",
+       "      <td id=\"T_8e70e_row0_col0\" class=\"data row0 col0\" >2025</td>\n",
+       "      <td id=\"T_8e70e_row0_col1\" class=\"data row0 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row0_col2\" class=\"data row0 col2\" >3189</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row1_col0\" class=\"data row1 col0\" >2024</td>\n",
-       "      <td id=\"T_154be_row1_col1\" class=\"data row1 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row1_col2\" class=\"data row1 col2\" >5489</td>\n",
+       "      <td id=\"T_8e70e_row1_col0\" class=\"data row1 col0\" >2025</td>\n",
+       "      <td id=\"T_8e70e_row1_col1\" class=\"data row1 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row1_col2\" class=\"data row1 col2\" >606</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row2_col0\" class=\"data row2 col0\" >2024</td>\n",
-       "      <td id=\"T_154be_row2_col1\" class=\"data row2 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row2_col2\" class=\"data row2 col2\" >4375</td>\n",
+       "      <td id=\"T_8e70e_row2_col0\" class=\"data row2 col0\" >2025</td>\n",
+       "      <td id=\"T_8e70e_row2_col1\" class=\"data row2 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row2_col2\" class=\"data row2 col2\" >525</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row3_col0\" class=\"data row3 col0\" >2024</td>\n",
-       "      <td id=\"T_154be_row3_col1\" class=\"data row3 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row3_col2\" class=\"data row3 col2\" >604</td>\n",
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+       "      <td id=\"T_8e70e_row3_col1\" class=\"data row3 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row3_col2\" class=\"data row3 col2\" >92</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row4_col0\" class=\"data row4 col0\" >2024</td>\n",
-       "      <td id=\"T_154be_row4_col1\" class=\"data row4 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row4_col2\" class=\"data row4 col2\" >195</td>\n",
+       "      <td id=\"T_8e70e_row4_col0\" class=\"data row4 col0\" >2025</td>\n",
+       "      <td id=\"T_8e70e_row4_col1\" class=\"data row4 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row4_col2\" class=\"data row4 col2\" >42</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row5_col0\" class=\"data row5 col0\" >2023</td>\n",
-       "      <td id=\"T_154be_row5_col1\" class=\"data row5 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row5_col2\" class=\"data row5 col2\" >21733</td>\n",
+       "      <td id=\"T_8e70e_row5_col0\" class=\"data row5 col0\" >2024</td>\n",
+       "      <td id=\"T_8e70e_row5_col1\" class=\"data row5 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row5_col2\" class=\"data row5 col2\" >26398</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row6_col0\" class=\"data row6 col0\" >2023</td>\n",
-       "      <td id=\"T_154be_row6_col1\" class=\"data row6 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row6_col2\" class=\"data row6 col2\" >6380</td>\n",
+       "      <td id=\"T_8e70e_row6_col0\" class=\"data row6 col0\" >2024</td>\n",
+       "      <td id=\"T_8e70e_row6_col1\" class=\"data row6 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row6_col2\" class=\"data row6 col2\" >8685</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row7_col0\" class=\"data row7 col0\" >2023</td>\n",
-       "      <td id=\"T_154be_row7_col1\" class=\"data row7 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row7_col2\" class=\"data row7 col2\" >2129</td>\n",
+       "      <td id=\"T_8e70e_row7_col0\" class=\"data row7 col0\" >2024</td>\n",
+       "      <td id=\"T_8e70e_row7_col1\" class=\"data row7 col1\" >Missing_Data</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row8_col0\" class=\"data row8 col0\" >2023</td>\n",
-       "      <td id=\"T_154be_row8_col1\" class=\"data row8 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row8_col2\" class=\"data row8 col2\" >490</td>\n",
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+       "      <td id=\"T_8e70e_row8_col1\" class=\"data row8 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row8_col2\" class=\"data row8 col2\" >1259</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row9_col0\" class=\"data row9 col0\" >2023</td>\n",
-       "      <td id=\"T_154be_row9_col1\" class=\"data row9 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row9_col2\" class=\"data row9 col2\" >217</td>\n",
+       "      <td id=\"T_8e70e_row9_col0\" class=\"data row9 col0\" >2024</td>\n",
+       "      <td id=\"T_8e70e_row9_col1\" class=\"data row9 col1\" >PHYSICAL</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row10_col0\" class=\"data row10 col0\" >2022</td>\n",
-       "      <td id=\"T_154be_row10_col1\" class=\"data row10 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row10_col2\" class=\"data row10 col2\" >18108</td>\n",
+       "      <td id=\"T_8e70e_row10_col0\" class=\"data row10 col0\" >2023</td>\n",
+       "      <td id=\"T_8e70e_row10_col1\" class=\"data row10 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row10_col2\" class=\"data row10 col2\" >21032</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row11_col0\" class=\"data row11 col0\" >2022</td>\n",
-       "      <td id=\"T_154be_row11_col1\" class=\"data row11 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row11_col2\" class=\"data row11 col2\" >6173</td>\n",
+       "      <td id=\"T_8e70e_row11_col0\" class=\"data row11 col0\" >2023</td>\n",
+       "      <td id=\"T_8e70e_row11_col1\" class=\"data row11 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row11_col2\" class=\"data row11 col2\" >6550</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row12_col0\" class=\"data row12 col0\" >2022</td>\n",
-       "      <td id=\"T_154be_row12_col1\" class=\"data row12 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row12_col2\" class=\"data row12 col2\" >1456</td>\n",
+       "      <td id=\"T_8e70e_row12_col0\" class=\"data row12 col0\" >2023</td>\n",
+       "      <td id=\"T_8e70e_row12_col1\" class=\"data row12 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row12_col2\" class=\"data row12 col2\" >2131</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row13_col0\" class=\"data row13 col0\" >2022</td>\n",
-       "      <td id=\"T_154be_row13_col1\" class=\"data row13 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row13_col2\" class=\"data row13 col2\" >452</td>\n",
+       "      <td id=\"T_8e70e_row13_col0\" class=\"data row13 col0\" >2023</td>\n",
+       "      <td id=\"T_8e70e_row13_col1\" class=\"data row13 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row13_col2\" class=\"data row13 col2\" >982</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row14_col0\" class=\"data row14 col0\" >2022</td>\n",
-       "      <td id=\"T_154be_row14_col1\" class=\"data row14 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row14_col2\" class=\"data row14 col2\" >242</td>\n",
+       "      <td id=\"T_8e70e_row14_col0\" class=\"data row14 col0\" >2023</td>\n",
+       "      <td id=\"T_8e70e_row14_col1\" class=\"data row14 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row14_col2\" class=\"data row14 col2\" >254</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row15_col0\" class=\"data row15 col0\" >2021</td>\n",
-       "      <td id=\"T_154be_row15_col1\" class=\"data row15 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row15_col2\" class=\"data row15 col2\" >14041</td>\n",
+       "      <td id=\"T_8e70e_row15_col0\" class=\"data row15 col0\" >2022</td>\n",
+       "      <td id=\"T_8e70e_row15_col1\" class=\"data row15 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row15_col2\" class=\"data row15 col2\" >17853</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row16_col0\" class=\"data row16 col0\" >2021</td>\n",
-       "      <td id=\"T_154be_row16_col1\" class=\"data row16 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row16_col2\" class=\"data row16 col2\" >5252</td>\n",
+       "      <td id=\"T_8e70e_row16_col0\" class=\"data row16 col0\" >2022</td>\n",
+       "      <td id=\"T_8e70e_row16_col1\" class=\"data row16 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row16_col2\" class=\"data row16 col2\" >6251</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row17_col0\" class=\"data row17 col0\" >2021</td>\n",
-       "      <td id=\"T_154be_row17_col1\" class=\"data row17 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row17_col2\" class=\"data row17 col2\" >1904</td>\n",
+       "      <td id=\"T_8e70e_row17_col0\" class=\"data row17 col0\" >2022</td>\n",
+       "      <td id=\"T_8e70e_row17_col1\" class=\"data row17 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row17_col2\" class=\"data row17 col2\" >1456</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row18_col0\" class=\"data row18 col0\" >2021</td>\n",
-       "      <td id=\"T_154be_row18_col1\" class=\"data row18 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row18_col2\" class=\"data row18 col2\" >559</td>\n",
+       "      <td id=\"T_8e70e_row18_col0\" class=\"data row18 col0\" >2022</td>\n",
+       "      <td id=\"T_8e70e_row18_col1\" class=\"data row18 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row18_col2\" class=\"data row18 col2\" >616</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row19_col0\" class=\"data row19 col0\" >2021</td>\n",
-       "      <td id=\"T_154be_row19_col1\" class=\"data row19 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row19_col2\" class=\"data row19 col2\" >194</td>\n",
+       "      <td id=\"T_8e70e_row19_col0\" class=\"data row19 col0\" >2022</td>\n",
+       "      <td id=\"T_8e70e_row19_col1\" class=\"data row19 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row19_col2\" class=\"data row19 col2\" >255</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row20_col0\" class=\"data row20 col0\" >2020</td>\n",
-       "      <td id=\"T_154be_row20_col1\" class=\"data row20 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row20_col2\" class=\"data row20 col2\" >12867</td>\n",
+       "      <td id=\"T_8e70e_row20_col0\" class=\"data row20 col0\" >2021</td>\n",
+       "      <td id=\"T_8e70e_row20_col1\" class=\"data row20 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row20_col2\" class=\"data row20 col2\" >13831</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row21_col0\" class=\"data row21 col0\" >2020</td>\n",
-       "      <td id=\"T_154be_row21_col1\" class=\"data row21 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row21_col2\" class=\"data row21 col2\" >4457</td>\n",
+       "      <td id=\"T_8e70e_row21_col0\" class=\"data row21 col0\" >2021</td>\n",
+       "      <td id=\"T_8e70e_row21_col1\" class=\"data row21 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row21_col2\" class=\"data row21 col2\" >5275</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row22_col0\" class=\"data row22 col0\" >2020</td>\n",
-       "      <td id=\"T_154be_row22_col1\" class=\"data row22 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row22_col2\" class=\"data row22 col2\" >900</td>\n",
+       "      <td id=\"T_8e70e_row22_col0\" class=\"data row22 col0\" >2021</td>\n",
+       "      <td id=\"T_8e70e_row22_col1\" class=\"data row22 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row22_col2\" class=\"data row22 col2\" >1904</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row23_col0\" class=\"data row23 col0\" >2020</td>\n",
-       "      <td id=\"T_154be_row23_col1\" class=\"data row23 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row23_col2\" class=\"data row23 col2\" >706</td>\n",
+       "      <td id=\"T_8e70e_row23_col0\" class=\"data row23 col0\" >2021</td>\n",
+       "      <td id=\"T_8e70e_row23_col1\" class=\"data row23 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row23_col2\" class=\"data row23 col2\" >728</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row24_col0\" class=\"data row24 col0\" >2020</td>\n",
-       "      <td id=\"T_154be_row24_col1\" class=\"data row24 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row24_col2\" class=\"data row24 col2\" >292</td>\n",
+       "      <td id=\"T_8e70e_row24_col0\" class=\"data row24 col0\" >2021</td>\n",
+       "      <td id=\"T_8e70e_row24_col1\" class=\"data row24 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row24_col2\" class=\"data row24 col2\" >212</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row25_col0\" class=\"data row25 col0\" >2019</td>\n",
-       "      <td id=\"T_154be_row25_col1\" class=\"data row25 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row25_col2\" class=\"data row25 col2\" >9867</td>\n",
+       "      <td id=\"T_8e70e_row25_col0\" class=\"data row25 col0\" >2020</td>\n",
+       "      <td id=\"T_8e70e_row25_col1\" class=\"data row25 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row25_col2\" class=\"data row25 col2\" >12774</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row26_col0\" class=\"data row26 col0\" >2019</td>\n",
-       "      <td id=\"T_154be_row26_col1\" class=\"data row26 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row26_col2\" class=\"data row26 col2\" >6782</td>\n",
+       "      <td id=\"T_8e70e_row26_col0\" class=\"data row26 col0\" >2020</td>\n",
+       "      <td id=\"T_8e70e_row26_col1\" class=\"data row26 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row26_col2\" class=\"data row26 col2\" >4484</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row27_col0\" class=\"data row27 col0\" >2019</td>\n",
-       "      <td id=\"T_154be_row27_col1\" class=\"data row27 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row27_col2\" class=\"data row27 col2\" >1995</td>\n",
+       "      <td id=\"T_8e70e_row27_col0\" class=\"data row27 col0\" >2020</td>\n",
+       "      <td id=\"T_8e70e_row27_col1\" class=\"data row27 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row27_col2\" class=\"data row27 col2\" >900</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row28_col0\" class=\"data row28 col0\" >2019</td>\n",
-       "      <td id=\"T_154be_row28_col1\" class=\"data row28 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row28_col2\" class=\"data row28 col2\" >164</td>\n",
+       "      <td id=\"T_8e70e_row28_col0\" class=\"data row28 col0\" >2020</td>\n",
+       "      <td id=\"T_8e70e_row28_col1\" class=\"data row28 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row28_col2\" class=\"data row28 col2\" >765</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row29_col0\" class=\"data row29 col0\" >2019</td>\n",
-       "      <td id=\"T_154be_row29_col1\" class=\"data row29 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row29_col2\" class=\"data row29 col2\" >130</td>\n",
+       "      <td id=\"T_8e70e_row29_col0\" class=\"data row29 col0\" >2020</td>\n",
+       "      <td id=\"T_8e70e_row29_col1\" class=\"data row29 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row29_col2\" class=\"data row29 col2\" >299</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row30_col0\" class=\"data row30 col0\" >2018</td>\n",
-       "      <td id=\"T_154be_row30_col1\" class=\"data row30 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row30_col2\" class=\"data row30 col2\" >16427</td>\n",
+       "      <td id=\"T_8e70e_row30_col0\" class=\"data row30 col0\" >2019</td>\n",
+       "      <td id=\"T_8e70e_row30_col1\" class=\"data row30 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row30_col2\" class=\"data row30 col2\" >9856</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row31_col0\" class=\"data row31 col0\" >2018</td>\n",
-       "      <td id=\"T_154be_row31_col1\" class=\"data row31 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row31_col2\" class=\"data row31 col2\" >1335</td>\n",
+       "      <td id=\"T_8e70e_row31_col0\" class=\"data row31 col0\" >2019</td>\n",
+       "      <td id=\"T_8e70e_row31_col1\" class=\"data row31 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row31_col2\" class=\"data row31 col2\" >6783</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row32_col0\" class=\"data row32 col0\" >2018</td>\n",
-       "      <td id=\"T_154be_row32_col1\" class=\"data row32 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row32_col2\" class=\"data row32 col2\" >335</td>\n",
+       "      <td id=\"T_8e70e_row32_col0\" class=\"data row32 col0\" >2019</td>\n",
+       "      <td id=\"T_8e70e_row32_col1\" class=\"data row32 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row32_col2\" class=\"data row32 col2\" >1998</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row33_col0\" class=\"data row33 col0\" >2018</td>\n",
-       "      <td id=\"T_154be_row33_col1\" class=\"data row33 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row33_col2\" class=\"data row33 col2\" >36</td>\n",
+       "      <td id=\"T_8e70e_row33_col0\" class=\"data row33 col0\" >2019</td>\n",
+       "      <td id=\"T_8e70e_row33_col1\" class=\"data row33 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row33_col2\" class=\"data row33 col2\" >169</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row34_col0\" class=\"data row34 col0\" >2018</td>\n",
-       "      <td id=\"T_154be_row34_col1\" class=\"data row34 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row34_col2\" class=\"data row34 col2\" >21</td>\n",
+       "      <td id=\"T_8e70e_row34_col0\" class=\"data row34 col0\" >2019</td>\n",
+       "      <td id=\"T_8e70e_row34_col1\" class=\"data row34 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row34_col2\" class=\"data row34 col2\" >132</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row35_col0\" class=\"data row35 col0\" >2017</td>\n",
-       "      <td id=\"T_154be_row35_col1\" class=\"data row35 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row35_col2\" class=\"data row35 col2\" >16491</td>\n",
+       "      <td id=\"T_8e70e_row35_col0\" class=\"data row35 col0\" >2018</td>\n",
+       "      <td id=\"T_8e70e_row35_col1\" class=\"data row35 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row35_col2\" class=\"data row35 col2\" >16410</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row36_col0\" class=\"data row36 col0\" >2017</td>\n",
-       "      <td id=\"T_154be_row36_col1\" class=\"data row36 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row36_col2\" class=\"data row36 col2\" >1174</td>\n",
+       "      <td id=\"T_8e70e_row36_col0\" class=\"data row36 col0\" >2018</td>\n",
+       "      <td id=\"T_8e70e_row36_col1\" class=\"data row36 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row36_col2\" class=\"data row36 col2\" >1352</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row37_col0\" class=\"data row37 col0\" >2017</td>\n",
-       "      <td id=\"T_154be_row37_col1\" class=\"data row37 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row37_col2\" class=\"data row37 col2\" >411</td>\n",
+       "      <td id=\"T_8e70e_row37_col0\" class=\"data row37 col0\" >2018</td>\n",
+       "      <td id=\"T_8e70e_row37_col1\" class=\"data row37 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row37_col2\" class=\"data row37 col2\" >335</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row38_col0\" class=\"data row38 col0\" >2017</td>\n",
-       "      <td id=\"T_154be_row38_col1\" class=\"data row38 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row38_col2\" class=\"data row38 col2\" >20</td>\n",
+       "      <td id=\"T_8e70e_row38_col0\" class=\"data row38 col0\" >2018</td>\n",
+       "      <td id=\"T_8e70e_row38_col1\" class=\"data row38 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row38_col2\" class=\"data row38 col2\" >36</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row39_col0\" class=\"data row39 col0\" >2017</td>\n",
-       "      <td id=\"T_154be_row39_col1\" class=\"data row39 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row39_col2\" class=\"data row39 col2\" >17</td>\n",
+       "      <td id=\"T_8e70e_row39_col0\" class=\"data row39 col0\" >2018</td>\n",
+       "      <td id=\"T_8e70e_row39_col1\" class=\"data row39 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row39_col2\" class=\"data row39 col2\" >21</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row40_col0\" class=\"data row40 col0\" >2016</td>\n",
-       "      <td id=\"T_154be_row40_col1\" class=\"data row40 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row40_col2\" class=\"data row40 col2\" >5751</td>\n",
+       "      <td id=\"T_8e70e_row40_col0\" class=\"data row40 col0\" >2017</td>\n",
+       "      <td id=\"T_8e70e_row40_col1\" class=\"data row40 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row40_col2\" class=\"data row40 col2\" >16441</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row41_col0\" class=\"data row41 col0\" >2016</td>\n",
-       "      <td id=\"T_154be_row41_col1\" class=\"data row41 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row41_col2\" class=\"data row41 col2\" >523</td>\n",
+       "      <td id=\"T_8e70e_row41_col0\" class=\"data row41 col0\" >2017</td>\n",
+       "      <td id=\"T_8e70e_row41_col1\" class=\"data row41 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row41_col2\" class=\"data row41 col2\" >1199</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row42_col0\" class=\"data row42 col0\" >2016</td>\n",
-       "      <td id=\"T_154be_row42_col1\" class=\"data row42 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row42_col2\" class=\"data row42 col2\" >234</td>\n",
+       "      <td id=\"T_8e70e_row42_col0\" class=\"data row42 col0\" >2017</td>\n",
+       "      <td id=\"T_8e70e_row42_col1\" class=\"data row42 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row42_col2\" class=\"data row42 col2\" >436</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row43_col0\" class=\"data row43 col0\" >2016</td>\n",
-       "      <td id=\"T_154be_row43_col1\" class=\"data row43 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row43_col2\" class=\"data row43 col2\" >5</td>\n",
+       "      <td id=\"T_8e70e_row43_col0\" class=\"data row43 col0\" >2017</td>\n",
+       "      <td id=\"T_8e70e_row43_col1\" class=\"data row43 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row43_col2\" class=\"data row43 col2\" >20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row44_col0\" class=\"data row44 col0\" >2016</td>\n",
-       "      <td id=\"T_154be_row44_col1\" class=\"data row44 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row44_col2\" class=\"data row44 col2\" >4</td>\n",
+       "      <td id=\"T_8e70e_row44_col0\" class=\"data row44 col0\" >2017</td>\n",
+       "      <td id=\"T_8e70e_row44_col1\" class=\"data row44 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row44_col2\" class=\"data row44 col2\" >17</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row45_col0\" class=\"data row45 col0\" >2015</td>\n",
-       "      <td id=\"T_154be_row45_col1\" class=\"data row45 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row45_col2\" class=\"data row45 col2\" >6530</td>\n",
+       "      <td id=\"T_8e70e_row45_col0\" class=\"data row45 col0\" >2016</td>\n",
+       "      <td id=\"T_8e70e_row45_col1\" class=\"data row45 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row45_col2\" class=\"data row45 col2\" >5746</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row46_col0\" class=\"data row46 col0\" >2015</td>\n",
-       "      <td id=\"T_154be_row46_col1\" class=\"data row46 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row46_col2\" class=\"data row46 col2\" >51</td>\n",
+       "      <td id=\"T_8e70e_row46_col0\" class=\"data row46 col0\" >2016</td>\n",
+       "      <td id=\"T_8e70e_row46_col1\" class=\"data row46 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row46_col2\" class=\"data row46 col2\" >527</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row47_col0\" class=\"data row47 col0\" >2015</td>\n",
-       "      <td id=\"T_154be_row47_col1\" class=\"data row47 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row47_col2\" class=\"data row47 col2\" >14</td>\n",
+       "      <td id=\"T_8e70e_row47_col0\" class=\"data row47 col0\" >2016</td>\n",
+       "      <td id=\"T_8e70e_row47_col1\" class=\"data row47 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row47_col2\" class=\"data row47 col2\" >235</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row48_col0\" class=\"data row48 col0\" >2014</td>\n",
-       "      <td id=\"T_154be_row48_col1\" class=\"data row48 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row48_col2\" class=\"data row48 col2\" >7931</td>\n",
+       "      <td id=\"T_8e70e_row48_col0\" class=\"data row48 col0\" >2016</td>\n",
+       "      <td id=\"T_8e70e_row48_col1\" class=\"data row48 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row48_col2\" class=\"data row48 col2\" >5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row49_col0\" class=\"data row49 col0\" >2014</td>\n",
-       "      <td id=\"T_154be_row49_col1\" class=\"data row49 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row49_col2\" class=\"data row49 col2\" >51</td>\n",
+       "      <td id=\"T_8e70e_row49_col0\" class=\"data row49 col0\" >2016</td>\n",
+       "      <td id=\"T_8e70e_row49_col1\" class=\"data row49 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row49_col2\" class=\"data row49 col2\" >4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row50_col0\" class=\"data row50 col0\" >2014</td>\n",
-       "      <td id=\"T_154be_row50_col1\" class=\"data row50 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row50_col2\" class=\"data row50 col2\" >24</td>\n",
+       "      <td id=\"T_8e70e_row50_col0\" class=\"data row50 col0\" >2015</td>\n",
+       "      <td id=\"T_8e70e_row50_col1\" class=\"data row50 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row50_col2\" class=\"data row50 col2\" >6528</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row51_col0\" class=\"data row51 col0\" >2014</td>\n",
-       "      <td id=\"T_154be_row51_col1\" class=\"data row51 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row51_col2\" class=\"data row51 col2\" >2</td>\n",
+       "      <td id=\"T_8e70e_row51_col0\" class=\"data row51 col0\" >2015</td>\n",
+       "      <td id=\"T_8e70e_row51_col1\" class=\"data row51 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row51_col2\" class=\"data row51 col2\" >51</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row52_col0\" class=\"data row52 col0\" >2013</td>\n",
-       "      <td id=\"T_154be_row52_col1\" class=\"data row52 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row52_col2\" class=\"data row52 col2\" >5277</td>\n",
+       "      <td id=\"T_8e70e_row52_col0\" class=\"data row52 col0\" >2015</td>\n",
+       "      <td id=\"T_8e70e_row52_col1\" class=\"data row52 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row52_col2\" class=\"data row52 col2\" >16</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row53_col0\" class=\"data row53 col0\" >2013</td>\n",
-       "      <td id=\"T_154be_row53_col1\" class=\"data row53 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row53_col2\" class=\"data row53 col2\" >32</td>\n",
+       "      <td id=\"T_8e70e_row53_col0\" class=\"data row53 col0\" >2014</td>\n",
+       "      <td id=\"T_8e70e_row53_col1\" class=\"data row53 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row53_col2\" class=\"data row53 col2\" >7925</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row54_col0\" class=\"data row54 col0\" >2013</td>\n",
-       "      <td id=\"T_154be_row54_col1\" class=\"data row54 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row54_col2\" class=\"data row54 col2\" >14</td>\n",
+       "      <td id=\"T_8e70e_row54_col0\" class=\"data row54 col0\" >2014</td>\n",
+       "      <td id=\"T_8e70e_row54_col1\" class=\"data row54 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row54_col2\" class=\"data row54 col2\" >56</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row55_col0\" class=\"data row55 col0\" >2013</td>\n",
-       "      <td id=\"T_154be_row55_col1\" class=\"data row55 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row55_col2\" class=\"data row55 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row55_col0\" class=\"data row55 col0\" >2014</td>\n",
+       "      <td id=\"T_8e70e_row55_col1\" class=\"data row55 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row55_col2\" class=\"data row55 col2\" >25</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row56_col0\" class=\"data row56 col0\" >2012</td>\n",
-       "      <td id=\"T_154be_row56_col1\" class=\"data row56 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row56_col2\" class=\"data row56 col2\" >5270</td>\n",
+       "      <td id=\"T_8e70e_row56_col0\" class=\"data row56 col0\" >2014</td>\n",
+       "      <td id=\"T_8e70e_row56_col1\" class=\"data row56 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row56_col2\" class=\"data row56 col2\" >2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row57_col0\" class=\"data row57 col0\" >2012</td>\n",
-       "      <td id=\"T_154be_row57_col1\" class=\"data row57 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row57_col2\" class=\"data row57 col2\" >49</td>\n",
+       "      <td id=\"T_8e70e_row57_col0\" class=\"data row57 col0\" >2013</td>\n",
+       "      <td id=\"T_8e70e_row57_col1\" class=\"data row57 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row57_col2\" class=\"data row57 col2\" >5255</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row58_col0\" class=\"data row58 col0\" >2012</td>\n",
-       "      <td id=\"T_154be_row58_col1\" class=\"data row58 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row58_col2\" class=\"data row58 col2\" >30</td>\n",
+       "      <td id=\"T_8e70e_row58_col0\" class=\"data row58 col0\" >2013</td>\n",
+       "      <td id=\"T_8e70e_row58_col1\" class=\"data row58 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row58_col2\" class=\"data row58 col2\" >42</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row59_col0\" class=\"data row59 col0\" >2012</td>\n",
-       "      <td id=\"T_154be_row59_col1\" class=\"data row59 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row59_col2\" class=\"data row59 col2\" >2</td>\n",
+       "      <td id=\"T_8e70e_row59_col0\" class=\"data row59 col0\" >2013</td>\n",
+       "      <td id=\"T_8e70e_row59_col1\" class=\"data row59 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row59_col2\" class=\"data row59 col2\" >26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row60_col0\" class=\"data row60 col0\" >2011</td>\n",
-       "      <td id=\"T_154be_row60_col1\" class=\"data row60 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row60_col2\" class=\"data row60 col2\" >4141</td>\n",
+       "      <td id=\"T_8e70e_row60_col0\" class=\"data row60 col0\" >2013</td>\n",
+       "      <td id=\"T_8e70e_row60_col1\" class=\"data row60 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row60_col2\" class=\"data row60 col2\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row61_col0\" class=\"data row61 col0\" >2011</td>\n",
-       "      <td id=\"T_154be_row61_col1\" class=\"data row61 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row61_col2\" class=\"data row61 col2\" >21</td>\n",
+       "      <td id=\"T_8e70e_row61_col0\" class=\"data row61 col0\" >2012</td>\n",
+       "      <td id=\"T_8e70e_row61_col1\" class=\"data row61 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row61_col2\" class=\"data row61 col2\" >5250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row62_col0\" class=\"data row62 col0\" >2011</td>\n",
-       "      <td id=\"T_154be_row62_col1\" class=\"data row62 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row62_col2\" class=\"data row62 col2\" >8</td>\n",
+       "      <td id=\"T_8e70e_row62_col0\" class=\"data row62 col0\" >2012</td>\n",
+       "      <td id=\"T_8e70e_row62_col1\" class=\"data row62 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row62_col2\" class=\"data row62 col2\" >60</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row63_col0\" class=\"data row63 col0\" >2011</td>\n",
-       "      <td id=\"T_154be_row63_col1\" class=\"data row63 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row63_col2\" class=\"data row63 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row63_col0\" class=\"data row63 col0\" >2012</td>\n",
+       "      <td id=\"T_8e70e_row63_col1\" class=\"data row63 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row63_col2\" class=\"data row63 col2\" >39</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row64_col0\" class=\"data row64 col0\" >2011</td>\n",
-       "      <td id=\"T_154be_row64_col1\" class=\"data row64 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row64_col2\" class=\"data row64 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row64_col0\" class=\"data row64 col0\" >2012</td>\n",
+       "      <td id=\"T_8e70e_row64_col1\" class=\"data row64 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row64_col2\" class=\"data row64 col2\" >2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row65_col0\" class=\"data row65 col0\" >2010</td>\n",
-       "      <td id=\"T_154be_row65_col1\" class=\"data row65 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row65_col2\" class=\"data row65 col2\" >4571</td>\n",
+       "      <td id=\"T_8e70e_row65_col0\" class=\"data row65 col0\" >2011</td>\n",
+       "      <td id=\"T_8e70e_row65_col1\" class=\"data row65 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row65_col2\" class=\"data row65 col2\" >4120</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row66_col0\" class=\"data row66 col0\" >2010</td>\n",
-       "      <td id=\"T_154be_row66_col1\" class=\"data row66 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row66_col2\" class=\"data row66 col2\" >68</td>\n",
+       "      <td id=\"T_8e70e_row66_col0\" class=\"data row66 col0\" >2011</td>\n",
+       "      <td id=\"T_8e70e_row66_col1\" class=\"data row66 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row66_col2\" class=\"data row66 col2\" >31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row67_col0\" class=\"data row67 col0\" >2010</td>\n",
-       "      <td id=\"T_154be_row67_col1\" class=\"data row67 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row67_col2\" class=\"data row67 col2\" >28</td>\n",
+       "      <td id=\"T_8e70e_row67_col0\" class=\"data row67 col0\" >2011</td>\n",
+       "      <td id=\"T_8e70e_row67_col1\" class=\"data row67 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row67_col2\" class=\"data row67 col2\" >19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row68_col0\" class=\"data row68 col0\" >2009</td>\n",
-       "      <td id=\"T_154be_row68_col1\" class=\"data row68 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row68_col2\" class=\"data row68 col2\" >5704</td>\n",
+       "      <td id=\"T_8e70e_row68_col0\" class=\"data row68 col0\" >2011</td>\n",
+       "      <td id=\"T_8e70e_row68_col1\" class=\"data row68 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row68_col2\" class=\"data row68 col2\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row69_col0\" class=\"data row69 col0\" >2009</td>\n",
-       "      <td id=\"T_154be_row69_col1\" class=\"data row69 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row69_col2\" class=\"data row69 col2\" >39</td>\n",
+       "      <td id=\"T_8e70e_row69_col0\" class=\"data row69 col0\" >2011</td>\n",
+       "      <td id=\"T_8e70e_row69_col1\" class=\"data row69 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row69_col2\" class=\"data row69 col2\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row70_col0\" class=\"data row70 col0\" >2009</td>\n",
-       "      <td id=\"T_154be_row70_col1\" class=\"data row70 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row70_col2\" class=\"data row70 col2\" >35</td>\n",
+       "      <td id=\"T_8e70e_row70_col0\" class=\"data row70 col0\" >2010</td>\n",
+       "      <td id=\"T_8e70e_row70_col1\" class=\"data row70 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row70_col2\" class=\"data row70 col2\" >4550</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row71_col0\" class=\"data row71 col0\" >2008</td>\n",
-       "      <td id=\"T_154be_row71_col1\" class=\"data row71 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row71_col2\" class=\"data row71 col2\" >5606</td>\n",
+       "      <td id=\"T_8e70e_row71_col0\" class=\"data row71 col0\" >2010</td>\n",
+       "      <td id=\"T_8e70e_row71_col1\" class=\"data row71 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row71_col2\" class=\"data row71 col2\" >80</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row72_col0\" class=\"data row72 col0\" >2008</td>\n",
-       "      <td id=\"T_154be_row72_col1\" class=\"data row72 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row72_col2\" class=\"data row72 col2\" >44</td>\n",
+       "      <td id=\"T_8e70e_row72_col0\" class=\"data row72 col0\" >2010</td>\n",
+       "      <td id=\"T_8e70e_row72_col1\" class=\"data row72 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row72_col2\" class=\"data row72 col2\" >37</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row73_col0\" class=\"data row73 col0\" >2008</td>\n",
-       "      <td id=\"T_154be_row73_col1\" class=\"data row73 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row73_col2\" class=\"data row73 col2\" >14</td>\n",
+       "      <td id=\"T_8e70e_row73_col0\" class=\"data row73 col0\" >2009</td>\n",
+       "      <td id=\"T_8e70e_row73_col1\" class=\"data row73 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row73_col2\" class=\"data row73 col2\" >5687</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row74_col0\" class=\"data row74 col0\" >2007</td>\n",
-       "      <td id=\"T_154be_row74_col1\" class=\"data row74 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row74_col2\" class=\"data row74 col2\" >6569</td>\n",
+       "      <td id=\"T_8e70e_row74_col0\" class=\"data row74 col0\" >2009</td>\n",
+       "      <td id=\"T_8e70e_row74_col1\" class=\"data row74 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row74_col2\" class=\"data row74 col2\" >54</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row75_col0\" class=\"data row75 col0\" >2007</td>\n",
-       "      <td id=\"T_154be_row75_col1\" class=\"data row75 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row75_col2\" class=\"data row75 col2\" >17</td>\n",
+       "      <td id=\"T_8e70e_row75_col0\" class=\"data row75 col0\" >2009</td>\n",
+       "      <td id=\"T_8e70e_row75_col1\" class=\"data row75 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row75_col2\" class=\"data row75 col2\" >37</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row76_col0\" class=\"data row76 col0\" >2007</td>\n",
-       "      <td id=\"T_154be_row76_col1\" class=\"data row76 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row76_col2\" class=\"data row76 col2\" >8</td>\n",
+       "      <td id=\"T_8e70e_row76_col0\" class=\"data row76 col0\" >2008</td>\n",
+       "      <td id=\"T_8e70e_row76_col1\" class=\"data row76 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row76_col2\" class=\"data row76 col2\" >5598</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row77_col0\" class=\"data row77 col0\" >2007</td>\n",
-       "      <td id=\"T_154be_row77_col1\" class=\"data row77 col1\" >PHYSICAL</td>\n",
-       "      <td id=\"T_154be_row77_col2\" class=\"data row77 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row77_col0\" class=\"data row77 col0\" >2008</td>\n",
+       "      <td id=\"T_8e70e_row77_col1\" class=\"data row77 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row77_col2\" class=\"data row77 col2\" >49</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row78_col0\" class=\"data row78 col0\" >2007</td>\n",
-       "      <td id=\"T_154be_row78_col1\" class=\"data row78 col1\" >ADJACENT_NETWORK</td>\n",
-       "      <td id=\"T_154be_row78_col2\" class=\"data row78 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row78_col0\" class=\"data row78 col0\" >2008</td>\n",
+       "      <td id=\"T_8e70e_row78_col1\" class=\"data row78 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row78_col2\" class=\"data row78 col2\" >17</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row79_col0\" class=\"data row79 col0\" >2006</td>\n",
-       "      <td id=\"T_154be_row79_col1\" class=\"data row79 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row79_col2\" class=\"data row79 col2\" >6643</td>\n",
+       "      <td id=\"T_8e70e_row79_col0\" class=\"data row79 col0\" >2007</td>\n",
+       "      <td id=\"T_8e70e_row79_col1\" class=\"data row79 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row79_col2\" class=\"data row79 col2\" >6554</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row80_col0\" class=\"data row80 col0\" >2006</td>\n",
-       "      <td id=\"T_154be_row80_col1\" class=\"data row80 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row80_col2\" class=\"data row80 col2\" >12</td>\n",
+       "      <td id=\"T_8e70e_row80_col0\" class=\"data row80 col0\" >2007</td>\n",
+       "      <td id=\"T_8e70e_row80_col1\" class=\"data row80 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row80_col2\" class=\"data row80 col2\" >31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row81_col0\" class=\"data row81 col0\" >2006</td>\n",
-       "      <td id=\"T_154be_row81_col1\" class=\"data row81 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row81_col2\" class=\"data row81 col2\" >4</td>\n",
+       "      <td id=\"T_8e70e_row81_col0\" class=\"data row81 col0\" >2007</td>\n",
+       "      <td id=\"T_8e70e_row81_col1\" class=\"data row81 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row81_col2\" class=\"data row81 col2\" >9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row82_col0\" class=\"data row82 col0\" >2005</td>\n",
-       "      <td id=\"T_154be_row82_col1\" class=\"data row82 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row82_col2\" class=\"data row82 col2\" >4957</td>\n",
+       "      <td id=\"T_8e70e_row82_col0\" class=\"data row82 col0\" >2007</td>\n",
+       "      <td id=\"T_8e70e_row82_col1\" class=\"data row82 col1\" >PHYSICAL</td>\n",
+       "      <td id=\"T_8e70e_row82_col2\" class=\"data row82 col2\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row83_col0\" class=\"data row83 col0\" >2005</td>\n",
-       "      <td id=\"T_154be_row83_col1\" class=\"data row83 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row83_col2\" class=\"data row83 col2\" >36</td>\n",
+       "      <td id=\"T_8e70e_row83_col0\" class=\"data row83 col0\" >2007</td>\n",
+       "      <td id=\"T_8e70e_row83_col1\" class=\"data row83 col1\" >ADJACENT_NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row83_col2\" class=\"data row83 col2\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row84_col0\" class=\"data row84 col0\" >2005</td>\n",
-       "      <td id=\"T_154be_row84_col1\" class=\"data row84 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row84_col2\" class=\"data row84 col2\" >17</td>\n",
+       "      <td id=\"T_8e70e_row84_col0\" class=\"data row84 col0\" >2006</td>\n",
+       "      <td id=\"T_8e70e_row84_col1\" class=\"data row84 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row84_col2\" class=\"data row84 col2\" >6629</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row85_col0\" class=\"data row85 col0\" >2004</td>\n",
-       "      <td id=\"T_154be_row85_col1\" class=\"data row85 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row85_col2\" class=\"data row85 col2\" >2438</td>\n",
+       "      <td id=\"T_8e70e_row85_col0\" class=\"data row85 col0\" >2006</td>\n",
+       "      <td id=\"T_8e70e_row85_col1\" class=\"data row85 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row85_col2\" class=\"data row85 col2\" >22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row86_col0\" class=\"data row86 col0\" >2004</td>\n",
-       "      <td id=\"T_154be_row86_col1\" class=\"data row86 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row86_col2\" class=\"data row86 col2\" >28</td>\n",
+       "      <td id=\"T_8e70e_row86_col0\" class=\"data row86 col0\" >2006</td>\n",
+       "      <td id=\"T_8e70e_row86_col1\" class=\"data row86 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row86_col2\" class=\"data row86 col2\" >8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row87_col0\" class=\"data row87 col0\" >2004</td>\n",
-       "      <td id=\"T_154be_row87_col1\" class=\"data row87 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row87_col2\" class=\"data row87 col2\" >13</td>\n",
+       "      <td id=\"T_8e70e_row87_col0\" class=\"data row87 col0\" >2005</td>\n",
+       "      <td id=\"T_8e70e_row87_col1\" class=\"data row87 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row87_col2\" class=\"data row87 col2\" >4947</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row88_col0\" class=\"data row88 col0\" >2003</td>\n",
-       "      <td id=\"T_154be_row88_col1\" class=\"data row88 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row88_col2\" class=\"data row88 col2\" >1531</td>\n",
+       "      <td id=\"T_8e70e_row88_col0\" class=\"data row88 col0\" >2005</td>\n",
+       "      <td id=\"T_8e70e_row88_col1\" class=\"data row88 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row88_col2\" class=\"data row88 col2\" >44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row89_col0\" class=\"data row89 col0\" >2003</td>\n",
-       "      <td id=\"T_154be_row89_col1\" class=\"data row89 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row89_col2\" class=\"data row89 col2\" >14</td>\n",
+       "      <td id=\"T_8e70e_row89_col0\" class=\"data row89 col0\" >2005</td>\n",
+       "      <td id=\"T_8e70e_row89_col1\" class=\"data row89 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row89_col2\" class=\"data row89 col2\" >19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row90_col0\" class=\"data row90 col0\" >2003</td>\n",
-       "      <td id=\"T_154be_row90_col1\" class=\"data row90 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row90_col2\" class=\"data row90 col2\" >3</td>\n",
+       "      <td id=\"T_8e70e_row90_col0\" class=\"data row90 col0\" >2004</td>\n",
+       "      <td id=\"T_8e70e_row90_col1\" class=\"data row90 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row90_col2\" class=\"data row90 col2\" >2436</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row91_col0\" class=\"data row91 col0\" >2002</td>\n",
-       "      <td id=\"T_154be_row91_col1\" class=\"data row91 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row91_col2\" class=\"data row91 col2\" >2116</td>\n",
+       "      <td id=\"T_8e70e_row91_col0\" class=\"data row91 col0\" >2004</td>\n",
+       "      <td id=\"T_8e70e_row91_col1\" class=\"data row91 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row91_col2\" class=\"data row91 col2\" >29</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row92_col0\" class=\"data row92 col0\" >2002</td>\n",
-       "      <td id=\"T_154be_row92_col1\" class=\"data row92 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row92_col2\" class=\"data row92 col2\" >34</td>\n",
+       "      <td id=\"T_8e70e_row92_col0\" class=\"data row92 col0\" >2004</td>\n",
+       "      <td id=\"T_8e70e_row92_col1\" class=\"data row92 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row92_col2\" class=\"data row92 col2\" >14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row93_col0\" class=\"data row93 col0\" >2002</td>\n",
-       "      <td id=\"T_154be_row93_col1\" class=\"data row93 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row93_col2\" class=\"data row93 col2\" >20</td>\n",
+       "      <td id=\"T_8e70e_row93_col0\" class=\"data row93 col0\" >2003</td>\n",
+       "      <td id=\"T_8e70e_row93_col1\" class=\"data row93 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row93_col2\" class=\"data row93 col2\" >1531</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row94_col0\" class=\"data row94 col0\" >2001</td>\n",
-       "      <td id=\"T_154be_row94_col1\" class=\"data row94 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row94_col2\" class=\"data row94 col2\" >1644</td>\n",
+       "      <td id=\"T_8e70e_row94_col0\" class=\"data row94 col0\" >2003</td>\n",
+       "      <td id=\"T_8e70e_row94_col1\" class=\"data row94 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row94_col2\" class=\"data row94 col2\" >14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row95_col0\" class=\"data row95 col0\" >2001</td>\n",
-       "      <td id=\"T_154be_row95_col1\" class=\"data row95 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row95_col2\" class=\"data row95 col2\" >24</td>\n",
+       "      <td id=\"T_8e70e_row95_col0\" class=\"data row95 col0\" >2003</td>\n",
+       "      <td id=\"T_8e70e_row95_col1\" class=\"data row95 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row95_col2\" class=\"data row95 col2\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row96_col0\" class=\"data row96 col0\" >2001</td>\n",
-       "      <td id=\"T_154be_row96_col1\" class=\"data row96 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row96_col2\" class=\"data row96 col2\" >11</td>\n",
+       "      <td id=\"T_8e70e_row96_col0\" class=\"data row96 col0\" >2002</td>\n",
+       "      <td id=\"T_8e70e_row96_col1\" class=\"data row96 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row96_col2\" class=\"data row96 col2\" >2116</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row97_col0\" class=\"data row97 col0\" >2000</td>\n",
-       "      <td id=\"T_154be_row97_col1\" class=\"data row97 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row97_col2\" class=\"data row97 col2\" >1011</td>\n",
+       "      <td id=\"T_8e70e_row97_col0\" class=\"data row97 col0\" >2002</td>\n",
+       "      <td id=\"T_8e70e_row97_col1\" class=\"data row97 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row97_col2\" class=\"data row97 col2\" >34</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row98_col0\" class=\"data row98 col0\" >2000</td>\n",
-       "      <td id=\"T_154be_row98_col1\" class=\"data row98 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row98_col2\" class=\"data row98 col2\" >6</td>\n",
+       "      <td id=\"T_8e70e_row98_col0\" class=\"data row98 col0\" >2002</td>\n",
+       "      <td id=\"T_8e70e_row98_col1\" class=\"data row98 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row98_col2\" class=\"data row98 col2\" >20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row99_col0\" class=\"data row99 col0\" >2000</td>\n",
-       "      <td id=\"T_154be_row99_col1\" class=\"data row99 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row99_col2\" class=\"data row99 col2\" >3</td>\n",
+       "      <td id=\"T_8e70e_row99_col0\" class=\"data row99 col0\" >2001</td>\n",
+       "      <td id=\"T_8e70e_row99_col1\" class=\"data row99 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row99_col2\" class=\"data row99 col2\" >1642</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row100_col0\" class=\"data row100 col0\" >1999</td>\n",
-       "      <td id=\"T_154be_row100_col1\" class=\"data row100 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row100_col2\" class=\"data row100 col2\" >916</td>\n",
+       "      <td id=\"T_8e70e_row100_col0\" class=\"data row100 col0\" >2001</td>\n",
+       "      <td id=\"T_8e70e_row100_col1\" class=\"data row100 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row100_col2\" class=\"data row100 col2\" >26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row101_col0\" class=\"data row101 col0\" >1999</td>\n",
-       "      <td id=\"T_154be_row101_col1\" class=\"data row101 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row101_col2\" class=\"data row101 col2\" >5</td>\n",
+       "      <td id=\"T_8e70e_row101_col0\" class=\"data row101 col0\" >2001</td>\n",
+       "      <td id=\"T_8e70e_row101_col1\" class=\"data row101 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row101_col2\" class=\"data row101 col2\" >11</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row102_col0\" class=\"data row102 col0\" >1999</td>\n",
-       "      <td id=\"T_154be_row102_col1\" class=\"data row102 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row102_col2\" class=\"data row102 col2\" >2</td>\n",
+       "      <td id=\"T_8e70e_row102_col0\" class=\"data row102 col0\" >2000</td>\n",
+       "      <td id=\"T_8e70e_row102_col1\" class=\"data row102 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row102_col2\" class=\"data row102 col2\" >1011</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row103_col0\" class=\"data row103 col0\" >1998</td>\n",
-       "      <td id=\"T_154be_row103_col1\" class=\"data row103 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row103_col2\" class=\"data row103 col2\" >240</td>\n",
+       "      <td id=\"T_8e70e_row103_col0\" class=\"data row103 col0\" >2000</td>\n",
+       "      <td id=\"T_8e70e_row103_col1\" class=\"data row103 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row103_col2\" class=\"data row103 col2\" >6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row104_col0\" class=\"data row104 col0\" >1998</td>\n",
-       "      <td id=\"T_154be_row104_col1\" class=\"data row104 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row104_col2\" class=\"data row104 col2\" >4</td>\n",
+       "      <td id=\"T_8e70e_row104_col0\" class=\"data row104 col0\" >2000</td>\n",
+       "      <td id=\"T_8e70e_row104_col1\" class=\"data row104 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row104_col2\" class=\"data row104 col2\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row105_col0\" class=\"data row105 col0\" >1998</td>\n",
-       "      <td id=\"T_154be_row105_col1\" class=\"data row105 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row105_col2\" class=\"data row105 col2\" >3</td>\n",
+       "      <td id=\"T_8e70e_row105_col0\" class=\"data row105 col0\" >1999</td>\n",
+       "      <td id=\"T_8e70e_row105_col1\" class=\"data row105 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row105_col2\" class=\"data row105 col2\" >916</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row106_col0\" class=\"data row106 col0\" >1997</td>\n",
-       "      <td id=\"T_154be_row106_col1\" class=\"data row106 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row106_col2\" class=\"data row106 col2\" >248</td>\n",
+       "      <td id=\"T_8e70e_row106_col0\" class=\"data row106 col0\" >1999</td>\n",
+       "      <td id=\"T_8e70e_row106_col1\" class=\"data row106 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row106_col2\" class=\"data row106 col2\" >5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row107_col0\" class=\"data row107 col0\" >1997</td>\n",
-       "      <td id=\"T_154be_row107_col1\" class=\"data row107 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row107_col2\" class=\"data row107 col2\" >3</td>\n",
+       "      <td id=\"T_8e70e_row107_col0\" class=\"data row107 col0\" >1999</td>\n",
+       "      <td id=\"T_8e70e_row107_col1\" class=\"data row107 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row107_col2\" class=\"data row107 col2\" >2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row108_col0\" class=\"data row108 col0\" >1997</td>\n",
-       "      <td id=\"T_154be_row108_col1\" class=\"data row108 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row108_col2\" class=\"data row108 col2\" >2</td>\n",
+       "      <td id=\"T_8e70e_row108_col0\" class=\"data row108 col0\" >1998</td>\n",
+       "      <td id=\"T_8e70e_row108_col1\" class=\"data row108 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row108_col2\" class=\"data row108 col2\" >240</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row109_col0\" class=\"data row109 col0\" >1996</td>\n",
-       "      <td id=\"T_154be_row109_col1\" class=\"data row109 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row109_col2\" class=\"data row109 col2\" >73</td>\n",
+       "      <td id=\"T_8e70e_row109_col0\" class=\"data row109 col0\" >1998</td>\n",
+       "      <td id=\"T_8e70e_row109_col1\" class=\"data row109 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row109_col2\" class=\"data row109 col2\" >4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row110_col0\" class=\"data row110 col0\" >1996</td>\n",
-       "      <td id=\"T_154be_row110_col1\" class=\"data row110 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row110_col2\" class=\"data row110 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row110_col0\" class=\"data row110 col0\" >1998</td>\n",
+       "      <td id=\"T_8e70e_row110_col1\" class=\"data row110 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row110_col2\" class=\"data row110 col2\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row111_col0\" class=\"data row111 col0\" >1996</td>\n",
-       "      <td id=\"T_154be_row111_col1\" class=\"data row111 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row111_col2\" class=\"data row111 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row111_col0\" class=\"data row111 col0\" >1997</td>\n",
+       "      <td id=\"T_8e70e_row111_col1\" class=\"data row111 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row111_col2\" class=\"data row111 col2\" >247</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row112_col0\" class=\"data row112 col0\" >1995</td>\n",
-       "      <td id=\"T_154be_row112_col1\" class=\"data row112 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row112_col2\" class=\"data row112 col2\" >24</td>\n",
+       "      <td id=\"T_8e70e_row112_col0\" class=\"data row112 col0\" >1997</td>\n",
+       "      <td id=\"T_8e70e_row112_col1\" class=\"data row112 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row112_col2\" class=\"data row112 col2\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row113_col0\" class=\"data row113 col0\" >1995</td>\n",
-       "      <td id=\"T_154be_row113_col1\" class=\"data row113 col1\" >NETWORK</td>\n",
-       "      <td id=\"T_154be_row113_col2\" class=\"data row113 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row113_col0\" class=\"data row113 col0\" >1997</td>\n",
+       "      <td id=\"T_8e70e_row113_col1\" class=\"data row113 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row113_col2\" class=\"data row113 col2\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row114_col0\" class=\"data row114 col0\" >1994</td>\n",
-       "      <td id=\"T_154be_row114_col1\" class=\"data row114 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row114_col2\" class=\"data row114 col2\" >26</td>\n",
+       "      <td id=\"T_8e70e_row114_col0\" class=\"data row114 col0\" >1996</td>\n",
+       "      <td id=\"T_8e70e_row114_col1\" class=\"data row114 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row114_col2\" class=\"data row114 col2\" >73</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row115_col0\" class=\"data row115 col0\" >1993</td>\n",
-       "      <td id=\"T_154be_row115_col1\" class=\"data row115 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row115_col2\" class=\"data row115 col2\" >13</td>\n",
+       "      <td id=\"T_8e70e_row115_col0\" class=\"data row115 col0\" >1996</td>\n",
+       "      <td id=\"T_8e70e_row115_col1\" class=\"data row115 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row115_col2\" class=\"data row115 col2\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row116_col0\" class=\"data row116 col0\" >1992</td>\n",
-       "      <td id=\"T_154be_row116_col1\" class=\"data row116 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row116_col2\" class=\"data row116 col2\" >14</td>\n",
+       "      <td id=\"T_8e70e_row116_col0\" class=\"data row116 col0\" >1996</td>\n",
+       "      <td id=\"T_8e70e_row116_col1\" class=\"data row116 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row116_col2\" class=\"data row116 col2\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row117_col0\" class=\"data row117 col0\" >1991</td>\n",
-       "      <td id=\"T_154be_row117_col1\" class=\"data row117 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row117_col2\" class=\"data row117 col2\" >15</td>\n",
+       "      <td id=\"T_8e70e_row117_col0\" class=\"data row117 col0\" >1995</td>\n",
+       "      <td id=\"T_8e70e_row117_col1\" class=\"data row117 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row117_col2\" class=\"data row117 col2\" >24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row118_col0\" class=\"data row118 col0\" >1990</td>\n",
-       "      <td id=\"T_154be_row118_col1\" class=\"data row118 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row118_col2\" class=\"data row118 col2\" >10</td>\n",
+       "      <td id=\"T_8e70e_row118_col0\" class=\"data row118 col0\" >1995</td>\n",
+       "      <td id=\"T_8e70e_row118_col1\" class=\"data row118 col1\" >NETWORK</td>\n",
+       "      <td id=\"T_8e70e_row118_col2\" class=\"data row118 col2\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row119_col0\" class=\"data row119 col0\" >1990</td>\n",
-       "      <td id=\"T_154be_row119_col1\" class=\"data row119 col1\" >LOCAL</td>\n",
-       "      <td id=\"T_154be_row119_col2\" class=\"data row119 col2\" >1</td>\n",
+       "      <td id=\"T_8e70e_row119_col0\" class=\"data row119 col0\" >1994</td>\n",
+       "      <td id=\"T_8e70e_row119_col1\" class=\"data row119 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row119_col2\" class=\"data row119 col2\" >26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row120_col0\" class=\"data row120 col0\" >1989</td>\n",
-       "      <td id=\"T_154be_row120_col1\" class=\"data row120 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row120_col2\" class=\"data row120 col2\" >3</td>\n",
+       "      <td id=\"T_8e70e_row120_col0\" class=\"data row120 col0\" >1993</td>\n",
+       "      <td id=\"T_8e70e_row120_col1\" class=\"data row120 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row120_col2\" class=\"data row120 col2\" >13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td id=\"T_154be_row121_col0\" class=\"data row121 col0\" >1988</td>\n",
-       "      <td id=\"T_154be_row121_col1\" class=\"data row121 col1\" >Missing_Data</td>\n",
-       "      <td id=\"T_154be_row121_col2\" class=\"data row121 col2\" >2</td>\n",
+       "      <td id=\"T_8e70e_row121_col0\" class=\"data row121 col0\" >1992</td>\n",
+       "      <td id=\"T_8e70e_row121_col1\" class=\"data row121 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row121_col2\" class=\"data row121 col2\" >14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td id=\"T_8e70e_row122_col0\" class=\"data row122 col0\" >1991</td>\n",
+       "      <td id=\"T_8e70e_row122_col1\" class=\"data row122 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row122_col2\" class=\"data row122 col2\" >15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td id=\"T_8e70e_row123_col0\" class=\"data row123 col0\" >1990</td>\n",
+       "      <td id=\"T_8e70e_row123_col1\" class=\"data row123 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row123_col2\" class=\"data row123 col2\" >10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td id=\"T_8e70e_row124_col0\" class=\"data row124 col0\" >1990</td>\n",
+       "      <td id=\"T_8e70e_row124_col1\" class=\"data row124 col1\" >LOCAL</td>\n",
+       "      <td id=\"T_8e70e_row124_col2\" class=\"data row124 col2\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td id=\"T_8e70e_row125_col0\" class=\"data row125 col0\" >1989</td>\n",
+       "      <td id=\"T_8e70e_row125_col1\" class=\"data row125 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row125_col2\" class=\"data row125 col2\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td id=\"T_8e70e_row126_col0\" class=\"data row126 col0\" >1988</td>\n",
+       "      <td id=\"T_8e70e_row126_col1\" class=\"data row126 col1\" >Missing_Data</td>\n",
+       "      <td id=\"T_8e70e_row126_col2\" class=\"data row126 col2\" >2</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
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       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7f9b193fa590>"
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@@ -1024,10 +1049,10 @@
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-     "iopub.status.idle": "2024-09-13T08:30:16.489882Z",
-     "shell.execute_reply": "2024-09-13T08:30:16.489261Z"
+     "iopub.execute_input": "2025-02-02T04:33:33.246761Z",
+     "iopub.status.busy": "2025-02-02T04:33:33.246547Z",
+     "iopub.status.idle": "2025-02-02T04:33:33.583734Z",
+     "shell.execute_reply": "2025-02-02T04:33:33.583139Z"
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      "remove-input"
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-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
-       "            /**\n",
-       "* plotly.js v2.35.2\n",
-       "* Copyright 2012-2024, Plotly, Inc.\n",
+       "        </script>\n",
+       "        <script type=\"module\">/**\n",
+       "* plotly.js v3.0.0\n",
+       "* Copyright 2012-2025, Plotly, Inc.\n",
        "* All rights reserved.\n",
        "* Licensed under the MIT license\n",
        "*/\n",
-       "/*! For license information please see plotly.min.js.LICENSE.txt */\n",
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q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(f.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+C).remove();function Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),f.convertToTspans(r,t,Y),r}function Y(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),h=!n.empty(),m=u.bBox((h?n:G).node()),_=m.width,b=m.height,A=e.width||_,D=e.height||b,B=Math.round(A+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,Y=[\"x\",\"y\"],X=0;X<Y.length;X++){var $,J,K,Q,tt,et=Y[X],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(I+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ht=L[et],ft=l.getRefType(rt);if(it&&\"domain\"!==ft){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),$=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ft;\"x\"===et?(K=e[et],$=dt?it._offset+it._length*K:$=T.l+T.w*K):(K=1-e[et],$=dt?it._offset+it._length*K:$=T.t+T.h*K),Q=e.showarrow?.5:K}if(e.showarrow){ht.head=$;var 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t^!!o.segmentsIntersect(l,h,l+1e6,h+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(f,p,l,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+f+\",\"+p+\"L\"+l+\",\"+h).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(g(Z,H,e),k.annotationPosition&&Z.node().parentNode&&!a){var W=l,Y=h;if(e.standoff){var X=Math.sqrt(Math.pow(l-f,2)+Math.pow(h-p,2));W+=e.standoff*(f-l)/X,Y+=e.standoff*(p-h)/X}var $,J,K=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-W)+\",\"+(p-Y),transform:s(W,Y)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:K.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);$=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w($,J),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",v(y,t,\"x\",T,e)),S(\"y\",v(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",v(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",v(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),z.attr({transform:\"rotate(\"+I+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),O&&d.init({element:R.node(),gd:t,prepFn:function(){kt=z.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",v(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",v(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=v(y,t,\"x\",T,e);else{var 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o,u,h,f,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),v=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,_=d.backoff*g+r.standoff,b=m.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(f=(h=Math.atan2(T,w))+Math.PI,_&&b&&_+b>Math.sqrt(w*w+T*T))return void O();if(_){if(_*_>w*w+T*T)return void O();var k=_*Math.cos(h),A=_*Math.sin(h);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(b){if(b*b>w*w+T*T)return void O();var M=b*Math.cos(h),S=b*Math.sin(h);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),C=\"\";if(E<_+b)return void O();var L=p.getPointAtLength(0),I=p.getPointAtLength(.1);h=Math.atan2(L.y-I.y,L.x-I.x),o=p.getPointAtLength(Math.min(b,E)),C=\"0px,\"+b+\"px,\";var P=p.getPointAtLength(E),z=p.getPointAtLength(E-.1);f=Math.atan2(P.y-z.y,P.x-z.x),u=p.getPointAtLength(Math.max(0,E-_)),C+=E-(C?b+_:_)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",C)}function O(){t.style(\"stroke-dasharray\",\"0px,100px\")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}v&&D(m,o,h,y),x&&D(d,u,f,g)}},3599:function(t,e,r){\"use strict\";var n=r(3377),i=r(6035);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50222),supplyLayoutDefaults:r(63737),includeBasePlot:r(20706)(\"annotations\"),calcAutorange:r(60317),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(59741)}},38239:function(t,e,r){\"use strict\";var n=r(50222),i=r(13582).overrideAll,a=r(78032).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},47979:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},34232:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714),a=r(59008),o=r(53271),s=r(38239);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return 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h=a[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},83348:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(38239)}}},layoutAttributes:r(38239),handleDefaults:r(34232),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(47979),draw:r(9756)}},37177:function(t,e,r){\"use 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0!==t.zLabelVal&&(a.z=t.zLabelVal)),e.appendArrayPointValue(a,r,i),a},e.appendArrayPointValue=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){var u=o(n.nestedProperty(e,l).get(),r);void 0!==u&&(t[c]=u)}}},e.appendArrayMultiPointValues=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){for(var u=n.nestedProperty(e,l).get(),h=new Array(r.length),f=0;f<r.length;f++)h[f]=o(u,r[f]);t[c]=h}}};var i={ids:\"id\",locations:\"location\",labels:\"label\",values:\"value\",\"marker.colors\":\"color\",parents:\"parent\"};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={\"x unified\":!0,\"y unified\":!0};e.isUnifiedHover=function(t){return\"string\"==typeof t&&!!l[t]},e.isXYhover=function(t){return\"string\"==typeof t&&!!s[t]}},38103:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(65657),o=r(34809),s=o.pushUnique,l=o.strTranslate,c=o.strRotate,u=r(68596),h=r(30635),f=r(93134),p=r(62203),d=r(78766),m=r(14751),g=r(29714),y=r(54826).zindexSeparator,v=r(33626),x=r(36040),_=r(85988),b=r(73970),w=r(6134),T=_.YANGLE,k=Math.PI*T/180,A=1/Math.sin(k),M=Math.cos(k),S=Math.sin(k),E=_.HOVERARROWSIZE,C=_.HOVERTEXTPAD,L={box:!0,ohlc:!0,violin:!0,candlestick:!0},I={scatter:!0,scattergl:!0,splom:!0};function P(t,e){return t.distance-e.distance}function z(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa?t.xa._id:\"\",t.ya?t.ya._id:\"\"].join(\",\")}e.hover=function(t,e,r,a){t=o.getGraphDiv(t);var l=e.target;o.throttle(t._fullLayout._uid+_.HOVERID,_.HOVERMINTIME,(function(){!function(t,e,r,a,l){r||(r=\"xy\"),\"string\"==typeof r&&(r=r.split(y)[0]);var c,h,p,_=Array.isArray(r)?r:[r],b=t._fullLayout,w=b.hoversubplots,T=b._plots||[],k=T[r],M=b._has(\"cartesian\"),S=e.hovermode||b.hovermode,C=\"x\"===(S||\"\").charAt(0),O=\"y\"===(S||\"\").charAt(0);if(M&&(C||O)&&\"axis\"===w)for(var R=_.length,V=0;V<R;V++)if(T[c=_[V]]){h=g.getFromId(t,c,\"x\"),p=g.getFromId(t,c,\"y\");var Z=(C?h:p)._subplotsWith;if(Z&&Z.length)for(var W=0;W<Z.length;W++)s(_,Z[W])}if(k&&\"single\"!==w){var Y=k.overlays.map((function(t){return t.id}));_=_.concat(Y)}for(var X=_.length,$=new Array(X),J=new Array(X),K=!1,Q=0;Q<X;Q++)if(T[c=_[Q]])K=!0,$[Q]=T[c].xaxis,J[Q]=T[c].yaxis;else{if(!b[c]||!b[c]._subplot)return void o.warn(\"Unrecognized subplot: \"+c);var tt=b[c]._subplot;$[Q]=tt.xaxis,J[Q]=tt.yaxis}if(S&&!K&&(S=\"closest\"),-1===[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(S)||!t.calcdata||t.querySelector(\".zoombox\")||t._dragging)return m.unhoverRaw(t,e);var et=b.hoverdistance;-1===et&&(et=1/0);var rt=b.spikedistance;-1===rt&&(rt=1/0);var nt,it,at,ot,st,lt,ct,ut,ht,ft,pt,dt,mt,gt=[],yt=[],vt={hLinePoint:null,vLinePoint:null},xt=!1;if(Array.isArray(e))for(S=\"array\",at=0;at<e.length;at++)(st=t.calcdata[e[at].curveNumber||0])&&(lt=st[0].trace,\"skip\"!==st[0].trace.hoverinfo&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0)));else{var _t,bt,wt=t.calcdata.slice();for(wt.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),ot=0;ot<wt.length;ot++)st=wt[ot],\"skip\"!==(lt=st[0].trace).hoverinfo&&x.isTraceInSubplots(lt,_)&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0));if(l){if(!1===u.triggerHandler(t,\"plotly_beforehover\",e))return;var Tt=l.getBoundingClientRect();_t=e.clientX-Tt.left,bt=e.clientY-Tt.top,b._calcInverseTransform(t);var kt=o.apply3DTransform(b._invTransform)(_t,bt);if(_t=kt[0],bt=kt[1],_t<0||_t>$[0]._length||bt<0||bt>J[0]._length)return m.unhoverRaw(t,e)}else _t=\"xpx\"in e?e.xpx:$[0]._length/2,bt=\"ypx\"in e?e.ypx:J[0]._length/2;if(e.pointerX=_t+$[0]._offset,e.pointerY=bt+J[0]._offset,nt=\"xval\"in e?x.flat(_,e.xval):x.p2c($,_t),it=\"yval\"in e?x.flat(_,e.yval):x.p2c(J,bt),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),m.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ht=S,x.isUnifiedHover(ht)&&(ht=ht.charAt(0)),\"splom\"===lt.type?ct=_[ut=0]:(ct=x.getSubplot(lt),ut=_.indexOf(ct)),dt={cd:st,trace:lt,xa:$[ut],ya:J[ut],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[ct]&&(dt.subplot=b[ct]._subplot),b._splomScenes&&b._splomScenes[lt.uid]&&(dt.scene=b._splomScenes[lt.uid]),\"array\"===ht){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ht=\"closest\"):(ht=\"\",\"xval\"in a&&(ft=a.xval,ht=\"x\"),\"yval\"in a&&(pt=a.yval,ht=ht?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,pt=n):(ft=nt[ut],pt=it[ut]);if(mt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ft,pt,ht,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,c=0;c<s.length;c++)l=s[c],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>mt&&(gt.splice(0,mt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var u=lt._module.hoverPoints(dt,ft,pt,\"closest\",{hoverLayer:b._hoverlayer});if(u&&(u=u.filter((function(t){return t.spikeDistance<=rt}))),u&&u.length){var h,f=u.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(f.length){var p=f[0];i(p.x0)&&i(p.y0)&&(h=Et(p),(!vt.vLinePoint||vt.vLinePoint.spikeDistance>h.spikeDistance)&&(vt.vLinePoint=h))}var m=u.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var g=m[0];i(g.x0)&&i(g.y0)&&(h=Et(g),(!vt.hLinePoint||vt.hLinePoint.spikeDistance>h.spikeDistance)&&(vt.hLinePoint=h))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)h&&h._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Ct={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,It={vLinePoint:vt.vLinePoint,hLinePoint:vt.hLinePoint};t._spikepoints=It;var Pt=function(){var t=gt.filter((function(t){return h&&h._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(h&&h._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];v.traceIs(s.trace,\"bar-like\")||v.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var zt=S.charAt(0),Ot=(\"x\"===zt||\"y\"===zt)&&gt[0]&&I[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var Dt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Ot);vt.hLinePoint=Et(Dt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Ot);vt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=m.unhoverRaw(t,e);return!M||null===vt.hLinePoint&&null===vt.vLinePoint||U(Lt)&&j(t,vt,Ct),Ft}if(M&&U(Lt)&&j(t,vt,Ct),x.isXYhover(ht)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=L[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,b),q(\"y\",Bt,b));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=L[t.trace.type]?z(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Zt=[],Wt=H(t),Yt=G(t);for(at=0;at<gt.length;at++){var Xt=gt[at],$t=x.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Jt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Jt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Jt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Kt=Xt.x0+Xt.xa._offset,Qt=Xt.x1+Xt.xa._offset,te=Xt.y0+Xt.ya._offset,ee=Xt.y1+Xt.ya._offset,re=Math.min(Kt,Qt),ne=Math.max(Kt,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);$t.bbox={x0:re+Yt,x1:ne+Yt,y0:ie+Wt,y1:ae+Wt}}Xt.eventData=[$t],Zt.push($t)}t._hoverdata=Zt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),le=D(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),ce=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,c,u,h=e?\"xa\":\"ya\",f=e?\"ya\":\"xa\",p=0,d=1,m=t.size(),g=new Array(m),y=0,v=n.minX,x=n.maxX,_=n.minY,b=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(c=t[s]).pos+c.dp+c.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos>e.pmax-1&&(c.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((c=t[s]).pos<e.pmin+1)for(c.del=!0,n--,o=2*c.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos+c.dp+c.size>e.pmax&&(c.del=!0,n--)}}}for(t.each((function(t){var n=t[h],i=t[f],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var c,u,p=F(t,e),m=t.anchor,k=\"end\"===m?-1:1;if(\"middle\"===m)u=(c=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)u=(c=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);c=t.crossPos+Math.min(M,S),u=t.crossPos+Math.max(M,S)}a?void 0!==_&&void 0!==b&&Math.min(u,b)-Math.max(c,_)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==v&&void 0!==x&&Math.min(u,x)-Math.max(c,v)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=m;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],C=M[M.length-1],L=S[0];if((a=C.pos+C.dp+C.size-L.pos-L.dp+L.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),u=0,l=M.length-1;l>=0;l--)u+=M[l].dp;for(o=u/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var I=g[s];for(l=I.length-1;l>=0;l--){var P=I[l],z=P.datum;z.offset=P.dp,z.del=P.del}}}(ce,oe,b,le.commonLabelBoundingBox),B(ce,oe,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=v.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Zt);f(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:$,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=D(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),h=Math.max(r,n),f=Math.min(s,l),p=Math.max(s,l),m=t.trace;if(v.traceIs(m,\"gl3d\")){var g=i._fullLayout[m.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;u+=y,h+=y,f+=x,p+=x}c.bbox={x0:u+o,x1:h+o,y0:f+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var O=/<extra>([\\s\\S]*)<\\/extra>/;function D(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,f=e.container,m=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||_.HOVERFONT,k=e.fontSize||_.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,L=e.fontTextcase||i.font.textcase,I=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,O=t[0],D=O.xa,F=O.ya,B=a.charAt(0),N=B+\"Label\",j=O[N];if(void 0===j&&\"multicategory\"===D.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=Z(r,m),q=V.top,H=V.width,G=V.height,W=void 0!==j&&O.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(W){var 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U,V=b.height/2,H=q-b.top-V,G=\"clip\"+i._uid+\"commonlabel\"+F._id;if(x<b.width+2*C+E){U=\"M-\"+(E+C)+\"-\"+V+\"h-\"+(b.width-C)+\"V\"+V+\"h\"+(b.width-C)+\"Z\";var W=b.width-x+C;h.positionText(s,W,H),\"end\"===R&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=Z(r,e.node());Math.round(i.width)<Math.round(b.width)&&t.attr(\"x\",W-i.width),e.remove()}))}else h.positionText(s,B*(C+E),H),U=null;var Y=i._topclips.selectAll(\"#\"+G).data(U?[0]:[]);Y.enter().append(\"clipPath\").attr(\"id\",G).append(\"path\"),Y.exit().remove(),Y.select(\"path\").attr(\"d\",U),p.setClipUrl(s,U?G:null,r)}t.attr(\"transform\",l(x,_))})),x.isUnifiedHover(a)){f.selectAll(\"g.hovertext\").remove();var tt=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===tt.length)return[];var et=i.hoverlabel,rt=et.font,nt={showlegend:!0,legend:{title:{text:j,font:rt},font:rt,bgcolor:et.bgcolor,bordercolor:et.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},it={font:rt};b(nt,it,r._fullData);var at=it.legend;at.entries=[];for(var ot=0;ot<tt.length;ot++){var st=tt[ot];if(\"none\"!==st.hoverinfo){var lt=R(st,!0,a,i,j),ct=lt[0],ut=lt[1];st.name=ut,st.text=\"\"!==ut?ut+\" : \"+ct:ct;var ht=st.cd[st.index];ht&&(ht.mc&&(st.mc=ht.mc),ht.mcc&&(st.mc=ht.mcc),ht.mlc&&(st.mlc=ht.mlc),ht.mlcc&&(st.mlc=ht.mlcc),ht.mlw&&(st.mlw=ht.mlw),ht.mrc&&(st.mrc=ht.mrc),ht.dir&&(st.dir=ht.dir)),st._distinct=!0,at.entries.push([st])}}at.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),at.layer=f,at._inHover=!0,at._groupTitleFont=et.grouptitlefont,w(r,at);var ft,pt,dt,mt,gt=f.select(\"g.legend\"),yt=Z(r,gt.node()),vt=yt.width+2*C,xt=yt.height+2*C,_t=tt[0],bt=(_t.x0+_t.x1)/2,wt=(_t.y0+_t.y1)/2,Tt=!(v.traceIs(_t.trace,\"bar-like\")||v.traceIs(_t.trace,\"box-violin\"));\"y\"===B?Tt?(pt=wt-C,ft=wt+C):(pt=Math.min.apply(null,tt.map((function(t){return Math.min(t.y0,t.y1)}))),ft=Math.max.apply(null,tt.map((function(t){return Math.max(t.y0,t.y1)})))):pt=ft=o.mean(tt.map((function(t){return(t.y0+t.y1)/2})))-xt/2,\"x\"===B?Tt?(dt=bt+C,mt=bt-C):(dt=Math.max.apply(null,tt.map((function(t){return Math.max(t.x0,t.x1)}))),mt=Math.min.apply(null,tt.map((function(t){return Math.min(t.x0,t.x1)})))):dt=mt=o.mean(tt.map((function(t){return(t.x0+t.x1)/2})))-vt/2;var kt,At,Mt=D._offset,St=F._offset;return mt+=Mt-vt,pt+=St-xt,kt=(dt+=Mt)+vt<H&&dt>=0?dt:mt+vt<H&&mt>=0?mt:Mt+vt<H?Mt:dt-bt<bt-mt+vt?H-vt:0,kt+=C,At=(ft+=St)+xt<G&&ft>=0?ft:pt+xt<G&&pt>=0?pt:St+xt<G?St:ft-wt<wt-pt+xt?G-xt:0,At+=C,gt.attr(\"transform\",l(kt-1,At-1)),gt}var Et=f.selectAll(\"g.hovertext\").data(t,(function(t){return z(t)}));return Et.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(d.fill,d.addOpacity(u,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(p.font,{weight:A,style:M,variant:S,textcase:L,lineposition:I,shadow:P,family:y,size:k})})),Et.exit().remove(),Et.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var f=t.bgcolor||o,m=d.combine(d.opacity(f)?f:d.defaultLine,u),g=d.combine(d.opacity(o)?o:d.defaultLine,u),v=t.borderColor||d.contrast(m),x=R(t,W,a,i,j,e),_=x[0],b=x[1],w=e.select(\"text.nums\").call(p.font,{family:t.fontFamily||y,size:t.fontSize||k,color:t.fontColor||v,weight:t.fontWeight||A,style:t.fontStyle||M,variant:t.fontVariant||S,textcase:t.fontTextcase||L,lineposition:t.fontLineposition||I,shadow:t.fontShadow||P}).text(_).attr(\"data-notex\",1).call(h.positionText,0,0).call(h.convertToTspans,r),z=e.select(\"text.name\"),O=0,D=0;if(b&&b!==_){z.call(p.font,{family:t.fontFamily||y,size:t.fontSize||k,color:g,weight:t.fontWeight||A,style:t.fontStyle||M,variant:t.fontVariant||S,textcase:t.fontTextcase||L,lineposition:t.fontLineposition||I,shadow:t.fontShadow||P}).text(b).attr(\"data-notex\",1).call(h.positionText,0,0).call(h.convertToTspans,r);var F=Z(r,z.node());O=F.width+2*C,D=F.height+2*C}else z.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:m,stroke:v});var B=t.xa._offset+(t.x0+t.x1)/2,N=t.ya._offset+(t.y0+t.y1)/2,U=Math.abs(t.x1-t.x0),V=Math.abs(t.y1-t.y0),Y=Z(r,w.node()),X=Y.width/i._invScaleX,$=Y.height/i._invScaleY;t.ty0=(q-Y.top)/i._invScaleY,t.bx=X+2*C,t.by=Math.max($+2*C,D),t.anchor=\"start\",t.txwidth=X,t.tx2width=O,t.offset=0;var J,K,Q=(X+E+C+O)*i._invScaleX;if(s)t.pos=B,J=N+V/2+Q<=G,K=N-V/2-Q>=0,\"top\"!==t.idealAlign&&J||!K?J?(N+=V/2,t.anchor=\"start\"):t.anchor=\"middle\":(N-=V/2,t.anchor=\"end\"),t.crossPos=N;else{if(t.pos=N,J=B+U/2+Q<=H,K=B-U/2-Q>=0,\"left\"!==t.idealAlign&&J||!K)if(J)B+=U/2,t.anchor=\"start\";else{t.anchor=\"middle\";var tt=Q/2,et=B+tt-H,rt=B-tt;et>0&&(B-=et),rt<0&&(B+=-rt)}else B-=U/2,t.anchor=\"end\";t.crossPos=B}w.attr(\"text-anchor\",t.anchor),O&&z.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",l(B,N)+(s?c(T):\"\"))})),{hoverLabels:Et,commonLabelBoundingBox:Q}}function R(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=V(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&\"choroplethmap\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[c+\"Label\"]===i?l=t[u+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),a&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&a.remove(),l=s);var h=t.hovertemplate||!1;if(h){var f=t.hovertemplateLabels||t;t[c+\"Label\"]!==i&&(f[c+\"other\"]=f[c+\"Val\"],f[c+\"otherLabel\"]=f[c+\"Label\"]),l=(l=o.hovertemplateString(h,f,n._d3locale,t.eventData[0]||{},t.trace._meta)).replace(O,(function(e,r){return s=V(r,t.nameLength),\"\"}))}return[l,s]}function F(t,e){var r=0,n=t.offset;return e&&(n*=-S,r=t.offset*M),{x:r,y:n}}function B(t,e,r,i){var a=function(t){return t*r},o=function(t){return t*i};t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var i,s,l,c,u=r.select(\"text.nums\"),f=t.anchor,d=\"end\"===f?-1:1,m=(c=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(E+C))+s*(i.txwidth+C),\"middle\"===i.anchor&&(l-=i.tx2width/2,c+=i.txwidth/2+C),{alignShift:s,textShiftX:l,text2ShiftX:c}),g=F(t,e),y=g.x,v=g.y,x=\"middle\"===f;r.select(\"path\").attr(\"d\",x?\"M-\"+a(t.bx/2+t.tx2width/2)+\",\"+o(v-t.by/2)+\"h\"+a(t.bx)+\"v\"+o(t.by)+\"h-\"+a(t.bx)+\"Z\":\"M0,0L\"+a(d*E+y)+\",\"+o(E+v)+\"v\"+o(t.by/2-E)+\"h\"+a(d*t.bx)+\"v-\"+o(t.by)+\"H\"+a(d*E+y)+\"V\"+o(v-E)+\"Z\");var _=y+m.textShiftX,b=v+t.ty0-t.by/2+C,w=t.textAlign||\"auto\";\"auto\"!==w&&(\"left\"===w&&\"start\"!==f?(u.attr(\"text-anchor\",\"start\"),_=x?-t.bx/2-t.tx2width/2+C:-t.bx-C):\"right\"===w&&\"end\"!==f&&(u.attr(\"text-anchor\",\"end\"),_=x?t.bx/2-t.tx2width/2-C:t.bx+C)),u.call(h.positionText,a(_),o(b)),t.tx2width&&(r.select(\"text.name\").call(h.positionText,a(m.text2ShiftX+m.alignShift*C+y),o(v+t.ty0-t.by/2+C)),r.select(\"rect\").call(p.setRect,a(m.text2ShiftX+(m.alignShift-1)*t.tx2width/2+y),o(v-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function N(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"fontWeight\",\"htw\",\"hoverlabel.font.weight\"),u(\"fontStyle\",\"hty\",\"hoverlabel.font.style\"),u(\"fontVariant\",\"htv\",\"hoverlabel.font.variant\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in t?t.xLabel:g.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel=\"yLabel\"in t?t.yLabel:g.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var h=g.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+h+\" / -\"+g.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" ± \"+h,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var f=g.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+f+\" / -\"+g.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" ± \"+f,\"y\"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&\"all\"!==p&&(-1===(p=Array.isArray(p)?p:p.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===p.indexOf(\"y\")&&(t.yLabel=void 0),-1===p.indexOf(\"z\")&&(t.zLabel=void 0),-1===p.indexOf(\"text\")&&(t.text=void 0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,h=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),h||u){var f=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,y,v=e.hLinePoint;n=v&&v.xa,\"cursor\"===(i=v&&v.ya).spikesnap?(m=c.pointerX,y=c.pointerY):(m=n._offset+v.x,y=i._offset+v.y);var x,_,b=a.readability(v.color,f)<1.5?d.contrast(f):v.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||b,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,_=m),-1!==w.indexOf(\"across\")){var 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n=r(80337),i=r(10229);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top left\",\"top center\",\"top right\"],editType:\"legend\"},editType:\"legend\"},editType:\"legend\"}},72783:function(t){\"use strict\";t.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:\"#808BA4\",scrollBarMargin:4,scrollBarEnterAttrs:{rx:20,ry:3,width:0,height:0},titlePad:2,itemGap:5}},73970:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=r(78032),o=r(9829),s=r(86405),l=r(6704),c=r(57599);function u(t,e,r,u){var h=e[t]||{},f=a.newContainer(r,t);function p(t,e){return i.coerce(h,f,s,t,e)}var d=i.coerceFont(p,\"font\",r.font);if(p(\"bgcolor\",r.paper_bgcolor),p(\"bordercolor\"),p(\"visible\")){for(var m,g=function(t,e){var r=m._input,n=m;return i.coerce(r,n,o,t,e)},y=r.font||{},v=i.coerceFont(p,\"grouptitlefont\",y,{overrideDflt:{size:Math.round(1.1*y.size)}}),x=0,_=!1,b=\"normal\",w=(r.shapes||[]).filter((function(t){return t.showlegend})),T=u.concat(w).filter((function(e){return t===(e.legend||\"legend\")})),k=0;k<T.length;k++)if((m=T[k]).visible){var A=m._isShape;(m.showlegend||m._dfltShowLegend&&!(m._module&&m._module.attributes&&m._module.attributes.showlegend&&!1===m._module.attributes.showlegend.dflt))&&(x++,m.showlegend&&(_=!0,(!A&&n.traceIs(m,\"pie-like\")||!0===m._input.showlegend)&&x++),i.coerceFont(g,\"legendgrouptitle.font\",v)),(!A&&n.traceIs(m,\"bar\")&&\"stack\"===r.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(m.fill))&&(b=c.isGrouped({traceorder:b})?\"grouped+reversed\":\"reversed\"),void 0!==m.legendgroup&&\"\"!==m.legendgroup&&(b=c.isReversed({traceorder:b})?\"reversed+grouped\":\"grouped\")}var M=i.coerce(e,r,l,\"showlegend\",_&&x>(\"legend\"===t?1:0));if(!1===M&&(r[t]=void 0),(!1!==M||h.uirevision)&&(p(\"uirevision\",r.uirevision),!1!==M)){p(\"borderwidth\");var S,E,C,L=\"h\"===p(\"orientation\"),I=\"paper\"===p(\"yref\"),P=\"paper\"===p(\"xref\"),z=\"left\";if(L?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?I?(E=1.1,C=\"bottom\"):(E=1,C=\"top\"):I?(E=-.1,C=\"top\"):(E=0,C=\"bottom\")):(E=1,C=\"auto\",P?S=1.02:(S=1,z=\"right\")),i.coerce(h,f,{x:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:S}},\"x\"),i.coerce(h,f,{y:{valType:\"number\",editType:\"legend\",min:I?-2:0,max:I?3:1,dflt:E}},\"y\"),p(\"traceorder\",b),c.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"indentation\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"xanchor\",z),p(\"yanchor\",C),p(\"valign\"),i.noneOrAll(h,f,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",L?\"left\":\"top\");var O=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,\"title.font\",O)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var 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P=S,z=E;S=k?i.constrain(S,0,d.width-f._width):P,E=M?i.constrain(E,0,d.height-f._effHeight):z,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==z&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}c.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||f._height<=f._maxHeight||t._context.staticPlot){var O=f._effHeight;T&&(O=f._height),U.attr({width:f._width-b,height:O-b,x:b/2,y:b/2}),c.setTranslate(q,0,0),j.select(\"rect\").attr({width:f._width-2*b,height:O-2*b,x:b,y:b}),c.setClipUrl(q,r,t),c.setRect(G,0,0,0,0),delete f._scrollY}else{var 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n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var c=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===c)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&f(r,t,n)}),t._context.doubleClickDelay)}else 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t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},851:function(t,e,r){\"use strict\";var n=r(33626),i=r(57599);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),c=i.isReversed(e),u={},h=[],f=!1,p={},d=0,m=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===h.indexOf(n)?(h.push(n),f=!0,u[n]=[a]):u[n].push(a);else{var o=\"~~i\"+d;h.push(o),u[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],v=y[0],x=v.trace,_=x.legend,b=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[b]||(p[b]={}),o=0;o<y.length;o++){var w=y[o].label;p[b][w]||(g(_,b,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[b][w]=!0,m=Math.max(m,(w||\"\").length))}else 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t.showlegend})),y=m.concat(g),v=d.trace;v._isShape&&(v=v._fullInput);var x,_,b,w,T,k=v.legendgroup,A={},M=[],S=[],E=[],C=(s.shapes||[]).map((function(t){return t._input})),L=!1,I=v.legend,P=v._fullInput;if(P&&P._isShape||!n.traceIs(v,\"pie-like\")){var z,O=k&&k.length,D=[];if(O)for(x=0;x<y.length;x++)(z=y[x]).visible&&z.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(v.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(O)if(f)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(v,R);else tt(v,R)}else if(\"toggleothers\"===l){var 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l=r.coloring;\"lines\"===l?o=!0:n=\"none\"===l||\"heatmap\"===l||r.showlines,\"constraint\"===r.type?a=\"=\"!==r._operation:\"fill\"!==l&&\"heatmap\"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}t.exports=function(t,e,r){var y=e._fullLayout;r||(r=y.legend);var v=\"constant\"===r.itemsizing,x=r.itemwidth,_=(x+2*p.itemGap)/2,b=o(_,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return v?n:Math.min(i,r)};function T(t,a,o){var 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e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),E=o(e.hovermode),C=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}C.push(e)}}var I=[\"toImage\"];s.showEditInChartStudio?I.push(\"editInChartStudio\"):s.showSendToCloud&&I.push(\"sendDataToCloud\"),L(I);var P=[],z=[],O=[],D=[];(m||_||v||x||b)+y+g+w+T+k+A>1?(z=[\"toggleHover\"],O=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],z=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(z=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],z=[\"toggleHover\"],O=[\"resetViewMapbox\"]):T?(P=[\"zoomInMap\",\"zoomOutMap\"],z=[\"toggleHover\"],O=[\"resetViewMap\"]):_?z=[\"hoverClosestGl2d\"]:v?z=[\"hoverClosestPie\"]:M?(z=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):z=[\"toggleHover\"],m&&z.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||E)&&(z=[]),!m&&!_||S||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||_)&&!S||b?D=[\"zoom2d\",\"pan2d\"]:w||T||y?D=[\"pan2d\"]:k&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var R=[],F=function(t){-1===R.indexOf(t)&&-1!==z.indexOf(t)&&R.push(t)};if(Array.isArray(p)){for(var B=[],N=0;N<p.length;N++){var j=p[N];\"string\"==typeof j?(j=j.toLowerCase(),-1!==c.indexOf(j)?(e._has(\"mapbox\")||e._has(\"map\")||e._has(\"cartesian\"))&&D.push(j):\"togglespikelines\"===j?F(\"toggleSpikelines\"):\"togglehover\"===j?F(\"toggleHover\"):\"hovercompare\"===j?F(\"hoverCompareCartesian\"):\"hoverclosest\"===j?(F(\"hoverClosestCartesian\"),F(\"hoverClosestGeo\"),F(\"hoverClosest3d\"),F(\"hoverClosestGl2d\"),F(\"hoverClosestPie\")):\"v1hovermode\"===j&&(F(\"hoverClosestCartesian\"),F(\"hoverCompareCartesian\"),F(\"hoverClosestGeo\"),F(\"hoverClosest3d\"),F(\"hoverClosestGl2d\"),F(\"hoverClosestPie\"))):B.push(j)}p=B}return L(D),L(P.concat(O)),L(R),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(C,p)}(t),h?h.update(t,f):e._modeBar=s(t,f)}else h&&(h.destroy(),delete e._modeBar)}},85393:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(34809),o=r(35188),s=r(29697).version,l=new DOMParser;function 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\"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var h=this.getLogo();r.watermark&&(h.className=h.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(h,this.element.childNodes[0]):this.element.appendChild(h),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},91032:function(t,e,r){\"use strict\";var n=r(80337),i=r(10229),a=(0,r(78032).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},68508:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},45431:function(t,e,r){\"use strict\";var n=r(45568),i=r(33626),a=r(44122),o=r(78766),s=r(62203),l=r(34809),c=l.strTranslate,u=r(30635),h=r(5975),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR,g=r(68508),y=r(16383);function v(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function _(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){u.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=h.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),v);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,h=o.rangeselector,f=r.selectAll(\"g.button\").data(l.filterVisible(h.buttons));f.enter().append(\"g\").classed(\"button\",!0),f.exit().remove(),f.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,h,e),r.call(_,h,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,h,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,h,e)}))})),function(t,e,r,i,o){var h=0,f=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*u.lineCount(t),16)+3;f=Math.max(f,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=u.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",c(y+h,y)),e.attr({x:0,y:0,width:d,height:f}),u.positionText(i,d/2,f/2-(l-1)*o/2+3),h+=d+5}));var v=t._fullLayout._size,x=v.l+v.w*r.x,_=v.t+v.h*(1-r.y),b=\"left\";l.isRightAnchor(r)&&(x-=h,b=\"right\"),l.isCenterAnchor(r)&&(x-=h/2,b=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(_-=f,w=\"bottom\"),l.isMiddleAnchor(r)&&(_-=f/2,w=\"middle\"),h=Math.ceil(h),f=Math.ceil(f),x=Math.round(x),_=Math.round(_),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:h*d[b],r:h*m[b],b:f*m[w],t:f*d[w]}),o.attr(\"transform\",c(x,_))}(t,f,h,o._name,r)}))}},16383:function(t,e,r){\"use strict\";var n=r(50936),i=r(34809).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},44453:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(91032)}}},layoutAttributes:r(91032),handleDefaults:r(86255),draw:r(45431)}},63608:function(t,e,r){\"use 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y=.5,v=Math.round(h(f-l))-y,x=Math.round(h(p-l))+y;t.select(\"g.\"+m.grabberMinClassName).attr(\"transform\",s(v,y)),t.select(\"g.\"+m.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,c,h),\"bottom\"===r.side&&u.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:C+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},80400:function(t,e,r){\"use strict\";var n=r(5975),i=r(30635),a=r(20604),o=r(4530).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}e.isVisible=l,e.makeData=function(t){var e=n.list({_fullLayout:t},\"x\",!0),r=t.margin,i=[];if(!t._has(\"gl2d\"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var c=o[s];c._id=s+o._id,c._height=(t.height-r.b-r.t)*c.thickness,c._offsetShift=Math.floor(c.borderwidth/2)}}t._rangeSliderData=i},e.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;return\"bottom\"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},55429:function(t,e,r){\"use strict\";var n=r(34809),i=r(63608),a=r(66249),o=r(80400);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(63608),handleDefaults:r(41295),calcAutorange:r(46223),draw:r(88887),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},66249:function(t){\"use 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w=f(t)&&t._fullLayout._activeSelectionIndex===e;w&&(v=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,v).call(s.dashLine,k?\"solid\":b,k?4+_:_);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(c,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var C=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(f(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,h(t)}}}(t,C)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){f(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,h(t))}t.exports={draw:h,drawOne:p,activateLastSelection:function(t){if(f(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,h(t)}}}},52307:function(t,e,r){\"use strict\";var n=r(94850).T,i=r(93049).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},43028:function(t){\"use 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v,x=o(a,c,h,d),_={xref:f._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(v=x[0]),v&&5===v.length&&\"select\"===m?(_.type=\"rect\",_.x0=v[0][1],_.y0=v[0][2],_.x1=v[2][1],_.y1=v[2][2]):(_.type=\"path\",f&&p&&l(x,f,p),_.path=s(x),v=null),i(c);for(var b=e.editHelpers,w=(b||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=c._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===c._fullLayout._activeSelectionIndex){var M=_;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(_),T):b?b.getUpdateObj():{}}}}},49801:function(t,e,r){\"use strict\";var n=r(34809).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return 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n=r(11516),i=r(52773),a=r(33626),o=r(62203).dashStyle,s=r(78766),l=r(32141),c=r(36040).makeEventData,u=r(70414),h=u.freeMode,f=u.rectMode,p=u.drawMode,d=u.openMode,m=u.selectMode,g=r(49728),y=r(2956),v=r(561),x=r(78534).clearOutline,_=r(81055),b=_.handleEllipse,w=_.readPaths,T=r(87562).newShapes,k=r(51817),A=r(7028).activateLastSelection,M=r(34809),S=M.sorterAsc,E=r(80899),C=r(64025),L=r(5975).getFromId,I=r(34823),P=r(71817).redrawReglTraces,z=r(78865),O=z.MINSELECT,D=E.filter,R=E.tester,F=r(49801),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,c,u,h,f,p,m,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,_=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var b=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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v,x,_,b,w=[],T=h[y][0],k=T;switch(T){case\"M\":f[++p]=[],d=+h[y][1],m=+h[y][2],w.push([k,d,m]),g();break;case\"Q\":case\"S\":v=+h[y][1],_=+h[y][2],d=+h[y][3],m=+h[y][4],w.push([k,d,m,v,_]);break;case\"C\":v=+h[y][1],_=+h[y][2],x=+h[y][3],b=+h[y][4],d=+h[y][5],m=+h[y][6],w.push([k,d,m,v,_,x,b]);break;case\"T\":case\"L\":d=+h[y][1],m=+h[y][2],w.push([k,d,m]);break;case\"H\":k=\"L\",d=+h[y][1],w.push([k,d,m]);break;case\"V\":k=\"L\",m=+h[y][1],w.push([k,d,m]);break;case\"A\":k=\"L\";var A=+h[y][1],M=+h[y][2];+h[y][4]||(A=-A,M=-M);var S=d-A,E=m;for(o=1;o<=a/2;o++){var C=2*Math.PI*o/a;w.push([k,S+A*Math.cos(C),E+M*Math.sin(C)])}break;case\"Z\":d===s&&m===u||(d=s,m=u,w.push([k,d,m]))}for(var L=(r||{}).domain,I=e._fullLayout._size,P=r&&\"pixel\"===r.xsizemode,z=r&&\"pixel\"===r.ysizemode,O=!1===i,D=0;D<w.length;D++){for(o=0;o+2<7;o+=2){var R=w[D][o+1],F=w[D][o+2];void 0!==R&&void 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p=2*f*Math.PI/a;h.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return h},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},87562:function(t,e,r){\"use strict\";var n=r(70414),i=n.drawMode,a=n.openMode,o=r(93391),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=o.cos45,f=o.sin45,p=r(49801),d=p.p2r,m=p.r2p,g=r(78534).clearOutline,y=r(81055),v=y.readPaths,x=y.writePaths,_=y.ellipseOver,b=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=v(p,o,y,w),C={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(C.fillcolor=g.fillcolor,C.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)C.type=\"rect\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[2][1],C.y1=n[2][2];else if(n&&\"drawline\"===r)C.type=\"line\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[1][1],C.y1=n[1][2];else if(n&&\"drawcircle\"===r){C.type=\"circle\";var L=n[s][1],I=n[l][1],P=n[c][1],z=n[u][1],O=n[s][2],D=n[l][2],R=n[c][2],F=n[u][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(L=m(y.xaxis,L),I=m(y.xaxis,I),P=m(y.xaxis,P),z=m(y.xaxis,z)),N&&(O=m(y.yaxis,O),D=m(y.yaxis,D),R=m(y.yaxis,R),F=m(y.yaxis,F));var j=(I+z)/2,U=(O+R)/2,V=_({x0:j,y0:U,x1:j+(z-I+P-L)/2*h,y1:U+(F-D+R-O)/2*f});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),C.x0=V.x0,C.y0=V.y0,C.x1=V.x1,C.y1=V.y1}else C.type=\"path\",T&&k&&b(E,T,k),C.path=x(E),n=null;return C}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var c=w(t,e,a);g(r);for(var u=e.editHelpers,h=(u||{}).modifyItem,f=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(f[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var m=c;switch(d.type){case\"line\":case\"rect\":case\"circle\":h(\"x0\",m.x0-(d.x0shift||0)),h(\"x1\",m.x1-(d.x1shift||0)),h(\"y0\",m.y0-(d.y0shift||0)),h(\"y1\",m.y1-(d.y1shift||0));break;case\"path\":h(\"path\",m.path)}}}return void 0===n?(f.push(c),f):u?u.getUpdateObj():{}}},createShapeObj:w}},78534:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},49728:function(t,e,r){\"use strict\";var n=r(2956),i=r(34809),a=r(29714);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],c=r?l:i.cleanNumber(l);a.push(c)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var c=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(c(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,c,u,h,f,p,d,m=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),v=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),_=t._fullLayout._size,b=o(v,r.x0shift),w=o(v,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(v?\"domain\"===g?l=function(t){return v._offset+v._length*t}:(s=e.shapePositionToRange(v),l=function(t){return v._offset+v.r2p(s(t,!0))}):l=function(t){return _.l+_.w*t},x?\"domain\"===y?u=function(t){return x._offset+x._length*(1-t)}:(c=e.shapePositionToRange(x),u=function(t){return x._offset+x.r2p(c(t,!0))}):u=function(t){return _.t+_.h*(1-t)},\"path\"===m)return v&&\"date\"===v.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,c=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,u=t.charAt(0),h=n.paramIsX[u],f=n.paramIsY[u],p=n.numParams[u],d=t.substr(1).replace(n.paramRE,(function(t){return h[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):f[a]&&(t=\"pixel\"===s?r(c)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),u+d}))}(r,l,u);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);h=A+r.x0+b,f=A+r.x1+w}else h=l(r.x0)+b,f=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=u(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=u(r.y0)+T,d=u(r.y1)+k;if(\"line\"===m)return\"M\"+h+\",\"+p+\"L\"+f+\",\"+d;if(\"rect\"===m)return\"M\"+h+\",\"+p+\"H\"+f+\"V\"+d+\"H\"+h+\"Z\";var S=(h+f)/2,E=(p+d)/2,C=Math.abs(S-h),L=Math.abs(E-p),I=\"A\"+C+\",\"+L,P=S+C+\",\"+E;return\"M\"+P+I+\" 0 1,1 \"+S+\",\"+(E-L)+I+\" 0 0,1 \"+P+\"Z\"}},43701:function(t,e,r){\"use strict\";var n=r(28231);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(43144),supplyLayoutDefaults:r(74367),supplyDrawNewShapeDefaults:r(85522),includeBasePlot:r(20706)(\"shapes\"),calcAutorange:r(44959),draw:n.draw,drawOne:n.drawOne}},41235:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},8606:function(t,e,r){\"use strict\";var n=r(80337),i=r(57891),a=r(93049).extendDeepAll,o=r(13582).overrideAll,s=r(49722),l=r(78032).templatedArray,c=r(64194),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},64194:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},74537:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},44097:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=s.strTranslate,c=r(30635),u=r(78032).arrayEditor,h=r(64194),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR;function g(t){return h.autoMarginIdRoot+t._index}function y(t){return t._index}function v(t,e){var r=o.tester.selectAll(\"g.\"+h.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(h.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=b(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var u=e._dims={};u.inputAreaWidth=Math.max(h.railWidth,h.gripHeight);var f=t._fullLayout._size;u.lx=f.l+f.w*e.x,u.ly=f.t+f.h*(1-e.y),\"fraction\"===e.lenmode?u.outerLength=Math.round(f.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*h.stepInset)/(e._stepCount-1),y=a+h.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(y/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var v=o.tester.append(\"g\");r.each((function(t){var r=x(v,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,v.remove()}u.height=u.currentValueTotalHeight+h.tickOffset+e.ticklen+h.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var _=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,_=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,_=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[_],T.r=0,T.xr=e.x+e.len*m[_]):(T.x=e.x,T.l=u.outerLength*d[_],T.r=u.outerLength*m[_]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-h.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=h.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var f=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(f=s.templateString(f,d)),u+=f}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function _(t,e,r){s.ensureSingle(t,\"rect\",h.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:h.gripWidth,height:h.gripHeight,rx:h.gripRadius,ry:h.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function b(t,e,r){var n=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",h.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+h.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(h.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(b,t,e),o.setTranslate(r,E(e,t.fraction),h.tickOffset+e.ticklen+e.font.size*p+h.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,h.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+h.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=C(t,n.mouse(i)[0]);function u(){var t=s(),a=C(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function f(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",f),o.on(\"touchend\",f)}}function M(t,e){var r=t.selectAll(\"rect.\"+h.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(h.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?h.tickOffset:h.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+h.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*h.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+h.stepInset+(r.inputAreaLength-2*h.stepInset)*Math.min(1,Math.max(0,e))}function C(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-h.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*h.stepInset-2*r.inputAreaStart)))}function L(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",h.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,h.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function I(t,e){var r=e._dims,n=r.inputAreaLength-2*h.railInset,i=s.ensureSingle(t,\"rect\",h.railRectClass);i.attr({width:n,height:h.railWidth,rx:h.railRadius,ry:h.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,h.railInset,.5*(r.inputAreaWidth-h.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[h.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+h.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(h.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+h.groupClassName).each(l)})).remove(),0!==a.length){var c=s.selectAll(\"g.\"+h.groupClassName).data(a,y);c.enter().append(\"g\").classed(h.groupClassName,!0),c.exit().each(l).remove();for(var u=0;u<a.length;u++){var f=a[u];v(t,f)}c.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(I,r).call(w,r).call(M,r).call(L,t,r).call(_,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},15359:function(t,e,r){\"use strict\";var n=r(64194);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(8606),supplyLayoutDefaults:r(74537),draw:r(44097)}},17240:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(44122),o=r(33626),s=r(34809),l=s.strTranslate,c=r(62203),u=r(78766),h=r(30635),f=r(20438),p=r(4530).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var m,g=t._fullLayout,y=r.propContainer,v=r.propName,x=r.placeholder,_=r.traceIndex,b=r.avoid||{},w=r.attributes,T=r.transform,k=r.containerGroup,A=1,M=y.title,S=(M&&M.text?M.text:\"\").trim(),E=!1,C=M&&M.font?M.font:{},L=C.family,I=C.size,P=C.color,z=C.weight,O=C.style,D=C.variant,R=C.textcase,F=C.lineposition,B=C.shadow,N=!!r.subtitlePropName,j=r.subtitlePlaceholder,U=(y.title||{}).subtitle||{text:\"\",font:{}},V=U.text.trim(),q=!1,H=1,G=U.font,Z=G.family,W=G.size,Y=G.color,X=G.weight,$=G.style,J=G.variant,K=G.textcase,Q=G.lineposition,tt=G.shadow;\"title.text\"===v?m=\"titleText\":-1!==v.indexOf(\"axis\")?m=\"axisTitleText\":v.indexOf(!0)&&(m=\"colorbarTitleText\");var et=t._context.edits[m];function rt(t,e){return void 0!==t&&void 0!==e&&t.replace(d,\" % \")===e.replace(d,\" % \")}\"\"===S?A=0:rt(S,x)&&(et||(S=\"\"),A=.2,E=!0),N&&(\"\"===V?H=0:rt(V,j)&&(et||(V=\"\"),H=.2,q=!0)),r._meta?S=s.templateString(S,r._meta):g._meta&&(S=s.templateString(S,g._meta));var nt,it=S||V||et;k||(k=s.ensureSingle(g._infolayer,\"g\",\"g-\"+e),nt=g._hColorbarMoveTitle);var at=k.selectAll(\"text.\"+e).data(it?[0]:[]);at.enter().append(\"text\"),at.text(S).attr(\"class\",e),at.exit().remove();var ot=null,st=e+\"-subtitle\",lt=V||et;if(N&&lt&&((ot=k.selectAll(\"text.\"+st).data(lt?[0]:[])).enter().append(\"text\"),ot.text(V).attr(\"class\",st),ot.exit().remove()),!it)return k;function ct(t,e){s.syncOrAsync([ut,ht],{title:t,subtitle:e})}function ut(r){var i,o=r.title,f=r.subtitle;if(!T&&nt&&(T={}),T?(i=\"\",T.rotate&&(i+=\"rotate(\"+[T.rotate,w.x,w.y]+\")\"),(T.offset||nt)&&(i+=l(0,(T.offset||0)-(nt||0)))):i=null,o.attr(\"transform\",i),o.style(\"opacity\",A*u.opacity(P)).call(c.font,{color:u.rgb(P),size:n.round(I,2),family:L,weight:z,style:O,variant:D,textcase:R,shadow:B,lineposition:F}).attr(w).call(h.convertToTspans,t,(function(t){if(t){var e=n.select(t.node().parentNode).select(\".\"+st);if(!e.empty()){var r=t.node().getBBox();if(r.height){var i=r.y+r.height+1.6*W;e.attr(\"y\",i)}}}})),f){var p=k.select(\".\"+e+\"-math-group\"),d=o.node().getBBox(),m=p.node()?p.node().getBBox():void 0,g=m?m.y+m.height+1.6*W:d.y+d.height+1.6*W,y=s.extendFlat({},w,{y:g});f.attr(\"transform\",i),f.style(\"opacity\",H*u.opacity(Y)).call(c.font,{color:u.rgb(Y),size:n.round(W,2),family:Z,weight:X,style:$,variant:J,textcase:K,shadow:tt,lineposition:Q}).attr(y).call(h.convertToTspans,t)}return a.previousPromises(t)}function ht(e){var r=e.title,a=n.select(r.node().parentNode);if(b&&b.selection&&b.side&&S){a.attr(\"transform\",null);var o=p[b.side],u=\"left\"===b.side||\"top\"===b.side?-1:1,h=i(b.pad)?b.pad:2,f=c.bBox(a.node()),d={t:0,b:0,l:0,r:0},m=t._fullLayout._reservedMargin;for(var v in m)for(var x in m[v]){var _=m[v][x];d[x]=Math.max(d[x],_)}var w={left:d.l,top:d.t,right:g.width-d.r,bottom:g.height-d.b},T=b.maxShift||u*(w[b.side]-f[b.side]),k=0;if(T<0)k=T;else{var 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pt=at.node().getBBox(),dt=pt.y+pt.height+1.6*W;ot.attr(\"y\",dt)}V?ot.on(\".opacity\",null):(ft(ot,j),q=!0),ot.call(h.makeEditable,{gd:t}).on(\"edit\",(function(e){o.call(\"_guiRelayout\",t,\"title.subtitle.text\",e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ct)})).on(\"input\",(function(t){this.text(t||\" \").call(h.positionText,ot.attr(\"x\"),ot.attr(\"y\"))}))}return at.classed(\"js-placeholder\",E),ot&&ot.classed(\"js-placeholder\",q),k},SUBTITLE_PADDING_EM:1.6,SUBTITLE_PADDING_MATHJAX_EM:1.6}},85389:function(t,e,r){\"use strict\";var n=r(80337),i=r(10229),a=r(93049).extendFlat,o=r(13582).overrideAll,s=r(57891),l=r(78032).templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},71559:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},42746:function(t,e,r){\"use strict\";var n=r(34809),i=r(59008),a=r(85389),o=r(71559).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},40974:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=r(30635),c=r(78032).arrayEditor,u=r(4530).LINE_SPACING,h=r(71559),f=r(21736);function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(h.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",h.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,c=i.active,u=i.buttons[c]||h.blankHeaderOpts,f={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(v,i,u,t).call(M,i,f,p),s.ensureSingle(e,\"text\",h.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(h.arrowSymbol[i.direction])})).attr({x:l.headerWidth-h.arrowOffsetX+i.pad.l,y:l.headerHeight/2+h.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(h.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?h.dropdownButtonClassName:h.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),f=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(f.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+h.gapButtonHeader:d=y.headerWidth+h.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-h.gapButtonHeader+h.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-h.gapButtonHeader+h.gapButton-y.openWidth);var _={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:h.gapButton,xPad:h.gapButton,index:0},k={l:_.x+o.borderwidth,t:_.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(v,o,s,t).call(M,o,_),c.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),c.on(\"mouseover\",(function(){c.call(w)})),c.on(\"mouseout\",(function(){c.call(T,o),u.call(b,o)}))})),u.call(b,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=_.y-k.t):(k.w=_.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\"up\"===c||\"down\"===c,f=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function v(t,e,r,n){t.call(x,e).call(_,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,(function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function _(t,e,r,n){var i=s.ensureSingle(t,\"text\",h.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function b(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.activeColor)}))}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.hoverColor)}function T(t,e){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(v,e,i,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),m=e.font.size*u,g=l.lineCount(f),y=Math.max(m*g,h.minHeight)+h.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+h.gapButton,r.openHeight+=y+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),a.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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f(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,_,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,c,_,e),d(c,e)&&y(t,r,c,_,e)):y(t,r,null,null,e)}))}}},46230:function(t,e,r){\"use strict\";var n=r(71559);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(85389),supplyLayoutDefaults:r(42746),draw:r(40974)}},21736:function(t,e,r){\"use strict\";t.exports=s;var n=r(45568),i=r(78766),a=r(62203),o=r(34809);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,m=this.position.w,g=this.position.t,y=this.position.h,v=this.position.direction,x=\"down\"===v,_=\"left\"===v,b=\"up\"===v,w=m,T=y;x||_||\"right\"===v||b||(this.position.direction=\"down\",x=!0),x||b?(h=(u=d)+w,x?(f=g,T=(p=Math.min(f+T,c))-f):T=(p=g+T)-(f=Math.max(p-T,0))):(p=(f=g)+T,_?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:T};var k=m>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>c&&(E=c-M);var C=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);C.exit().on(\".drag\",null).remove(),C.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=C.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var L=y>T,I=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,z=d+m,O=g;z+I>l&&(z=l-I);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(L?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:I,height:P}),this._vbarYMin=O+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+I+.5:h+.5,N=f-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||L?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||L){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),L&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},4530:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},35081:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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y=n/(h[2]-h[0])*(l[2]-l[0])+l[0],v=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=y,c.boxStart[1]=v,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=y,c.boxEnd[1]=v,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,_=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&_)x&&(c.boxEnd[0]=c.boxStart[0]),_&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var b=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*b)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*b*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(b)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(b))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/b*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(b)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(b)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},10749:function(t,e,r){\"use strict\";var n=r(29714),i=r(55010);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=i(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=i((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=i(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=i(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,h=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},24585:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(27672),a=r(6704),o=r(62972),s=r(54826),l=r(37703),c=r(6811),u=r(4173).KO;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(55126),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},27672:function(t,e,r){\"use strict\";var n,i,a=r(33626),o=r(29714),s=r(32141),l=r(99098).gl_plot2d,c=r(99098).gl_spikes2d,u=r(99098).gl_select_box,h=r(22248),f=r(10749),p=r(77055),d=r(97464),m=r(84391),g=m.enforce,y=m.clean,v=r(32919).doAutoRange,x=r(70414),_=x.drawMode,b=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(54826).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],v(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){b(t)||_(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},y=m.pointIndex,v=s.castHoverinfo(g,i,y);if(v&&\"all\"!==v){var x=v.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,y,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},2487:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(6811),a=r(20299),o=r(4173).KO,s=r(34809),l=r(62972),c=\"gl3d\",u=\"scene\";e.name=c,e.attr=u,e.idRoot=u,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(22597),e.layoutAttributes=r(77168),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(15250),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[c],i=0;i<n.length;i++){var s=n[i],l=o(r,c,s),u=e[s],h=u.camera,f=u._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:h},e),u._scene=f),f.viewInitial||(f.viewInitial={up:{x:h.up.x,y:h.up.y,z:h.up.z},eye:{x:h.eye.x,y:h.eye.y,z:h.eye.z},center:{x:h.center.x,y:h.center.y,z:h.center.z}}),f.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[c]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),u+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},22597:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},63397:function(t,e,r){\"use strict\";var n=r(78766),i=r(25829),a=r(93049).extendFlat,o=r(13582).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},34258:function(t,e,r){\"use strict\";var n=r(65657).mix,i=r(34809),a=r(78032),o=r(63397),s=r(4392),l=r(97655),c=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,72.72727272727273).toRgbString()),f(\"title.text\",d[0]),h.setScale=i.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},95701:function(t,e,r){\"use strict\";var n=r(55010),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},15250:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(33626),o=r(4448),s=r(34258),l=r(77168),c=r(4173).KO,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var m=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:m,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,v=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&v&&x?x/Math.sqrt(y*y+v*v+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},77168:function(t,e,r){\"use strict\";var n=r(63397),i=r(13792).u,a=r(93049).extendFlat,o=r(34809).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},64087:function(t,e,r){\"use strict\";var n=r(55010),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},32412:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}for(e.ticks=l,c=0;c<3;++c)for(o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]),d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(29714),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},25802:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},20299:function(t,e,r){\"use strict\";var n,i,a=r(99098).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(22248),c=r(74043),u=r(33626),h=r(34809),f=h.preserveDrawingBuffer(),p=r(29714),d=r(32141),m=r(55010),g=r(97464),y=r(25802),v=r(95701),x=r(64087),_=r(32412),b=r(32919).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:f,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||f)r=!1;else{h.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{f=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){f=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,f=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(f)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var v=y(e.glplot.cameraParams,f.dataCoordinate);t=u.data;var x,b=r._fullData[t.index],T=f.index,k={xLabel:g(\"x\",f.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",f.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",f.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(b,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;b.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(f.textLabel=void 0),-1===M.indexOf(\"name\")&&(u.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",f.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",f.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",f.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=f.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):x=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:T};d.appendArrayPointValue(C,b,T),t._module.eventData&&(C=b._module.eventData(C,f,b,{},T));var L={points:[C]};if(e.fullSceneLayout.hovermode){var I=[];d.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:u.name,color:d.castHoverOption(b,T,\"bgcolor\")||u.color,borderColor:d.castHoverOption(b,T,\"bordercolor\"),fontFamily:d.castHoverOption(b,T,\"font.family\"),fontSize:d.castHoverOption(b,T,\"font.size\"),fontColor:d.castHoverOption(b,T,\"font.color\"),nameLength:d.castHoverOption(b,T,\"namelength\"),textAlign:d.castHoverOption(b,T,\"align\"),hovertemplate:h.castOption(b,T,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},C,k),eventData:[C]},{container:n,gd:r,inOut_bbox:I}),C.bbox=I[0]}f.distance<5&&(f.buttons||w)?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,c,u=e[n.id],h=r[n.id];n.fullLayout=e,n.fullSceneLayout=u,n.axesOptions.merge(e,u),n.spikeOptions.merge(u),n.setViewport(u),n.updateFx(u.dragmode,u.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(m(u.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var p=[1,1,1];for(s=0;s<3;++s)f[1][s]===f[0][s]?p[s]=1:p[s]=1/(f[1][s]-f[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],v=[],x={};for(o=0;o<3;++o){var _;if((c=(l=u[M[o]]).type)in x?(x[c].acc*=p[o],x[c].count+=1):x[c]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,C=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-C),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+C)}for(s=0;s<T.length;s++){var L=T[s];if(L.visible){var I=l.r2l(L[k]);y[0][o]=Math.min(y[0][o],I),y[1][o]=Math.max(y[1][o],I)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var P=y[1][o]-y[0][o];y[0][o]-=P/32,y[1][o]+=P/32}if(_=[y[0][o],y[1][o]],_=b(_,l),y[0][o]=_[0],y[1][o]=_[1],l.isReversed()){var z=y[0][o];y[0][o]=y[1][o],y[1][o]=z}}else _=l.range,y[0][o]=l.r2l(_[0]),y[1][o]=l.r2l(_[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),v[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var O=u.aspectmode;if(\"cube\"===O)g=[1,1,1];else if(\"manual\"===O){var D=u.aspectratio;g=[D.x,D.y,D.z]}else{if(\"auto\"!==O&&\"data\"!==O)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[c=(l=u[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===O||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}u.aspectratio.x=h.aspectratio.x=g[0],u.aspectratio.y=h.aspectratio.y=g[1],u.aspectratio.z=h.aspectratio.z=g[2],n.glplot.setAspectratio(u.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:u.aspectratio.x,y:u.aspectratio.y,z:u.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=u.aspectmode);var B=u.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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e=t.id;if(!f[e]&&e.includes(\"-15\")){f[e]=!0;var r=new Image(15,15);r.onload=function(){h.addImage(e,r)},r.crossOrigin=\"Anonymous\",r.src=\"https://unpkg.com/maki@2.1.0/icons/\"+e+\".svg\"}})),h.setTransformRequest((function(t){return{url:t=(t=(t=t.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\")}})),h._canvas.style.left=\"0px\",h._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var p=[];p.push(new 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u,h,f={};for(u in a)f[n=a[u]]?f[n].push(u):f[n]=[u];for(n in f){var p=f[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(h=u.split(\"trace-\")[1],this.traceHash[h]&&(this.traceHash[h].below=null)):0===u.indexOf(\"layout-\")&&(h=u.split(\"layout-\")[1],this.layerList[h]&&(this.layerList[h].below=null))}};var b={choroplethmap:0,densitymap:1,scattermap:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,y.stylesMap[t]?e.style=y.stylesMap[t]:e.style=t):(e.id=y.styleValueDflt,e.style=function(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return b[t[0].trace.type]-b[e[0].trace.type]}));for(n=0;n<o.length;n++){var 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i=n._fullLayout.clickmode;i.indexOf(\"select\")>-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),f(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearOutline),e.dragOptions.prepFn=function(t,r,n){p(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearOutline),e.div.onmousedown=null,e.div.ontouchstart=null,e.div.removeEventListener(\"touchstart\",e.div._ontouchstart),e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(v(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if(\"string\"==typeof e){if(\"\"===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn([\"Trying to add layer with *below* value\",e,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=parseInt(n.style.width),a=parseInt(n.style.height);return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[e+\".\"+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+\"._derived\"]=t._derived,r},t.exports=x},44245:function(t,e,r){\"use strict\";var n=r(62994),i=\"1.13.4\",a='© <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',o=['© <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',a].join(\" \"),s=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" 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e,r,s=this,c=s.isSmith,u=s.gd,h=s.layers,f=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,C=s.sectorInRad,L=s.vangles,I=s.radialAxis,P=E.clampTiny,z=E.findXYatLength,O=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(h,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){v.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||y.unhover(u,t)};var B,N,j,U,V,q,H,G,Z,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function Y(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return Y(t-A,e-M)}function $(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*D);var 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z,O,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,v,v),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&f<h,{transform:l(_,b)}),N.prepFn=function(){z=null,O=null,D=null,N.moveFn=j,N.doneFn=q,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(z)z(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(z=s<.5?H:G)}var l={};!function(t){null!==O?t[i.id+\".radialaxis.angle\"]=O:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function q(){null!==O?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",O):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=_+t,a=b+e;O=Math.atan2(d-a,n-p),i.vangles&&(O=U(O,i.vangles)),O=F(O);var o=l(p,d)+s(-O);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],v=d.y[1]-d.y[0],x=y*e.w,_=v*e.h,b=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*_?i=(a=_)*E:a=(i=x)/E,o=y*i/x,l=v*a/_,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=b,p.xaxis={type:\"linear\",range:[w+2*k-b,b-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},h(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,b-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},h(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=f({},t.aaxis,{range:[w,b-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=f({},t.baxis,{range:[b-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});h(S,p.graphDiv._fullLayout),S.setScale();var C=p.caxis=f({},t.caxis,{range:[b-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(C,p.graphDiv._fullLayout),C.setScale();var L=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",L),p.layers.plotbg.select(\"path\").attr(\"d\",L);var I=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",I);var P=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-C._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var c=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),u=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=_.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-c,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=_.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-u,y:e.y0+e.h+.83*o.title.font.size+u,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=_.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+u,y:e.y0+e.h+.83*s.title.font.size+u,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],c=a+\"tickLayout\",u=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[c]!==u&&(l.selectAll(\".\"+s+\"tick\").remove(),r[c]=u),t.setScale();var h=d.calcTicks(t),f=d.clipEnds(t,h),p=d.makeTransTickFn(t),m=d.getTickSigns(t)[2],g=o.deg2rad(30),y=m*(t.linewidth||1)/2,v=m*t.ticklen,x=r.w,_=r.h,b=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+y+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,w={a:\"M0,0l\"+_+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+_,c:\"M0,0l-\"+_+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?f:h,layer:l,path:b,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:f,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:h,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var C=A.MINZOOM/2+.87,L=\"m-0.87,.5h\"+C+\"v3h-\"+(C+5.2)+\"l\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l2.6,1.5l-\"+C/2+\",\"+.87*C+\"Z\",I=\"m0.87,.5h-\"+C+\"v3h\"+(C+5.2)+\"l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-2.6,1.5l\"+C/2+\",\"+.87*C+\"Z\",P=\"m0,1l\"+C/2+\",\"+.87*C+\"l2.6,-1.5l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-\"+(C/2+2.6)+\",\"+(.87*C+4.5)+\"l2.6,1.5l\"+C/2+\",-\"+.87*C+\"Z\",z=!0;function O(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,h,f,p,d,y,_,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),C=M.graphDiv,D=C._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=C._fullLayout.clickmode;O(C),2===t&&(C.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",C,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,C,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(C,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,v=(m+g)/2,x=g-m,b=(1-l)*M.h,w=b-x/E;x<A.MINZOOM?(p=h,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:h.a+l*f,b:h.b+c*f,c:h.c+u*f},T.attr(\"d\",y+\"M\"+m+\",\"+b+\"H\"+g+\"L\"+v+\",\"+w+\"L\"+m+\",\"+b+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+m+\",\"+b+L+\"M\"+g+\",\"+b+I+\"M\"+v+\",\"+w+P)),_||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),_=!0),C.emit(\"plotly_relayouting\",R(p))}function V(){O(C),p!==h&&(a.call(\"_guiRelayout\",C,R(p)),z&&C.data&&C._context.showTips&&(o.notifier(l(C,\"Double-click to zoom back out\"),\"long\"),z=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:h.a-n,b:h.b+(r+n)/2,c:h.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(h.a-p.a)*M.yaxis._m,t=(h.c-p.c-h.b+p.b)*M.xaxis._m);var f=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",f);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),C.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",C,R(p))}this.dragOptions={element:S,gd:C,plotinfo:{id:M.id,domain:C._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=C._fullLayout._invScaleX,e=C._fullLayout._invScaleY;var m=M.dragOptions.dragmode=C._fullLayout.dragmode;v(m)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===m?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,C._fullLayout._calcInverseTransform(C);var u=C._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,f=M.aaxis.range[1]-h.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",_=!1,T=D.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=D.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:c.background,stroke:c.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(C)}(0,l,u)):\"pan\"===m?(M.dragOptions.moveFn=q,M.dragOptions.clickFn=F,M.dragOptions.doneFn=H,h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,M.clearOutline(C)):(x(m)||v(m))&&b(a,l,u,M.dragOptions,m)}},S.onmousemove=function(t){g.hover(C,t,M.id),C._fullLayout._lasthover=S,C._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){C._dragging||m.unhover(C,t)},m.init(this.dragOptions)}},33626:function(t,e,r){\"use strict\";var n=r(48636),i=r(4969),a=r(36539),o=r(56174),s=r(95425).addStyleRule,l=r(93049),c=r(9829),u=r(6704),h=l.extendFlat,f=l.extendDeepAll;function p(t){var i=t.name,a=t.categories,o=t.meta;if(e.modules[i])n.log(\"Type \"+i+\" already registered\");else{e.subplotsRegistry[t.basePlotModule.name]||function(t){var r=t.name;if(e.subplotsRegistry[r])n.log(\"Plot type \"+r+\" already registered.\");else for(var i in y(t),e.subplotsRegistry[r]=t,e.componentsRegistry)_(i,t.name)}(t.basePlotModule);for(var l={},c=0;c<a.length;c++)l[a[c]]=!0,e.allCategories[a[c]]=!0;for(var u in e.modules[i]={_module:t,categories:l},o&&Object.keys(o).length&&(e.modules[i].meta=o),e.allTypes.push(i),e.componentsRegistry)v(u,i);t.layoutAttributes&&h(e.traceLayoutAttributes,t.layoutAttributes);var f=t.basePlotModule,p=f.name;if(\"mapbox\"===p){var d=f.constants.styleRules;for(var m in d)s(\".js-plotly-plot .plotly .mapboxgl-\"+m,d[m])}\"map\"===p&&r(96144),\"geo\"!==p&&\"mapbox\"!==p&&\"map\"!==p||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var r=t.name;for(var n in e.componentsRegistry[r]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(e.layoutArrayContainers,r),y(t)),e.modules)v(r,n);for(var i in e.subplotsRegistry)_(r,i);for(var o in e.transformsRegistry)x(r,o);t.schema&&t.schema.layout&&f(u,t.schema.layout)}function m(t){if(\"string\"!=typeof t.name)throw new Error(\"Transform module *name* must be a string.\");var r=\"Transform module \"+t.name,i=\"function\"==typeof t.transform,a=\"function\"==typeof t.calcTransform;if(!i&&!a)throw new Error(r+\" is missing a *transform* or *calcTransform* method.\");for(var s in i&&a&&n.log([r+\" has both a *transform* and *calcTransform* methods.\",\"Please note that all *transform* methods are executed\",\"before all *calcTransform* methods.\"].join(\" \")),o(t.attributes)||n.log(r+\" registered without an *attributes* object.\"),\"function\"!=typeof t.supplyDefaults&&n.log(r+\" registered without a *supplyDefaults* method.\"),e.transformsRegistry[t.name]=t,e.componentsRegistry)x(s,t.name)}function g(t){var r=t.name,n=r.split(\"-\")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=e.localeRegistry,c=l[r];if(c||(l[r]=c={}),n!==r){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function y(t){if(t.layoutAttributes){var r=t.layoutAttributes._arrayAttrRegexps;if(r)for(var n=0;n<r.length;n++)a(e.layoutArrayRegexes,r[n])}}function v(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[r];i&&f(e.modules[r]._module.attributes,i)}}function x(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[r];i&&f(e.transformsRegistry[r].attributes,i)}}function _(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.subplots){var i=e.subplotsRegistry[r],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var 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strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}},78931:function(t,e,r){\"use strict\";var n=r(33626),i=r(29714),a=r(34809),o=r(25412),s=r(17550).validateCornerradius;t.exports=function(t,e,r){function l(r,n){return a.coerce(t,e,o,r,n)}for(var c=!1,u=!1,h=!1,f={},p=l(\"barmode\"),d=0;d<r.length;d++){var m=r[d];if(n.traceIs(m,\"bar\")&&m.visible){if(c=!0,\"group\"===p){var g=m.xaxis+m.yaxis;f[g]&&(h=!0),f[g]=!0}m.visible&&\"histogram\"===m.type&&\"category\"!==i.getFromId({_fullLayout:e},m[\"v\"===m.orientation?\"xaxis\":\"yaxis\"]).type&&(u=!0)}}if(c){\"overlay\"!==p&&l(\"barnorm\"),l(\"bargap\",u&&!h?0:.2),l(\"bargroupgap\");var y=l(\"barcornerradius\");e.barcornerradius=s(y)}else delete e.barmode}},32995:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(34809),o=r(30635),s=r(78766),l=r(62203),c=r(33626),u=r(29714).tickText,h=r(84102),f=h.recordMinTextSize,p=h.clearMinTextSize,d=r(6851),m=r(42843),g=r(56155),y=r(81481),v=y.text,x=y.textposition,_=r(36040).appendArrayPointValue,b=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t){return(t>0)-(t<0)}function A(t,e){return t<e?1:-1}function M(t,e,r,n){var i;return!e.uniformtext.mode&&S(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){i&&i()})).each(\"interrupt\",(function(){i&&i()}))):t}function S(t){return t&&t.duration>0}function E(t,e,r,n,i){return!(t<0||e<0)&&(r<=t&&n<=e||r<=e&&n<=t||(i?t>=r*(e/n):e>=n*(t/r)))}function C(t){return\"auto\"===t?0:t}function L(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function I(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor,u=\"end\"===c,h=\"start\"===c,f=((a.leftToRight||0)+1)/2,p=1-f,d=a.hasB,m=a.r,g=a.overhead,y=i.width,v=i.height,x=Math.abs(e-t),_=Math.abs(n-r),w=x>2*b&&_>2*b?b:0;x-=2*w,_-=2*w;var T=C(l);\"auto\"!==l||y<=x&&v<=_||!(y>x||v>_)||(y>_||v>x)&&y<v==x<_||(T+=90);var k,M,S=L(i,T);if(m&&m-g>b){var E=function(t,e,r,n,i,a,o,s,l){var c,u,h,f,p=Math.max(0,Math.abs(e-t)-2*b),d=Math.max(0,Math.abs(n-r)-2*b),m=a-b,g=o?m-Math.sqrt(m*m-(m-o)*(m-o)):m,y=l?2*m:s?m-o:2*g,v=l?2*m:s?2*g:m-o;return 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B=o?A(t,e):A(r,n);o?h?(z=t+B*w,D=-B*F):(z=e-B*w,D=B*F):h?(O=r+B*w,R=-B*F):(O=n-B*w,R=B*F)}return{textX:I,textY:P,targetX:z,targetY:O,anchorX:D,anchorY:R,scale:k,rotate:T}}t.exports={plot:function(t,e,r,h,g,y){var w=e.xaxis,P=e.yaxis,z=t._fullLayout,O=t._context.staticPlot;g||(g={mode:z.barmode,norm:z.barmode,gap:z.bargap,groupgap:z.bargroupgap},p(\"bar\",z));var D=a.makeTraceGroups(h,r,\"trace bars\").each((function(r){var c=n.select(this),h=r[0].trace,p=r[0].t,D=\"waterfall\"===h.type,R=\"funnel\"===h.type,F=\"histogram\"===h.type,B=\"bar\"===h.type,N=B||R,j=0;D&&h.connector.visible&&\"between\"===h.connector.mode&&(j=h.connector.line.width/2);var U=\"h\"===h.orientation,V=S(g),q=a.ensureSingle(c,\"g\",\"points\"),H=T(h),G=q.selectAll(\"g.point\").data(a.identity,H);G.enter().append(\"g\").classed(\"point\",!0),G.exit().remove(),G.each((function(c,T){var S,D,R=n.select(this),q=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return 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r,n=U?Math.abs(W-Z):Math.abs(G-H),i=U?Math.abs(G-H):Math.abs(W-Z),a=J(Math.abs(Q(K,!0)-Q(0,!0))),o=c.hasB?Math.min(n/2,i/2):Math.min(n/2,a);return r=\"%\"===e?n*(Math.min(50,t)/100):t,J(Math.max(Math.min(r,o),0))}(p.cornerradiusvalue,p.cornerradiusform):0,nt=\"M\"+H+\",\"+Z+\"V\"+W+\"H\"+G+\"V\"+Z+\"Z\",it=0;if(rt&&c.s){var at=0===k(c.s0)||k(c.s)===k(c.s0)?c.s1:c.s0;if((it=J(c.hasB?0:Math.abs(Q(K,!0)-Q(at,!0))))<rt){var ot=A(H,G),st=A(Z,W),lt=ot===-st?1:0;if(U)if(c.hasB)tt=\"M\"+(H+rt*ot)+\",\"+Z+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+H+\",\"+(Z+rt*st)+\"V\"+(W-rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(H+rt*ot)+\",\"+W+\"H\"+(G-rt*ot)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+G+\",\"+(W-rt*st)+\"V\"+(Z+rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(G-rt*ot)+\",\"+Z+\"Z\";else{var ct=(et=Math.abs(G-H)+it)<rt?rt-Math.sqrt(et*(2*rt-et)):0,ut=it>0?Math.sqrt(it*(2*rt-it)):0,ht=ot>0?Math.max:Math.min;tt=\"M\"+H+\",\"+Z+\"V\"+(W-ct*st)+\"H\"+ht(G-(rt-it)*ot,H)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" 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mt=M(a.ensureSingle(R,\"path\"),z,g,y);if(mt.style(\"vector-effect\",O?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((G-H)*(W-Z))||Y&&t._context.staticPlot?\"M0,0Z\":tt).call(l.setClipUrl,e.layerClipId,t),!z.uniformtext.mode&&V){var gt=l.makePointStyleFns(h);l.singlePointStyle(c,mt,h,gt,t)}!function(t,e,r,n,i,s,c,h,p,g,y,w,T){var k,S=e.xaxis,P=e.yaxis,z=t._fullLayout;function O(e,r,n){return a.ensureSingle(e,\"text\").text(r).attr({class:\"bartext bartext-\"+k,\"text-anchor\":\"middle\",\"data-notex\":1}).call(l.font,n).call(o.convertToTspans,t)}var D=n[0].trace,R=\"h\"===D.orientation,F=function(t,e,r,n,i){var o,s=e[0].trace;return o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,\"texttemplate\");if(!s)return\"\";var l,c,h,f,p=\"histogram\"===o.type,d=\"waterfall\"===o.type,m=\"funnel\"===o.type,g=\"h\"===o.orientation;function y(t){return u(f,f.c2l(t),!0).text}g?(l=\"y\",c=i,h=\"x\",f=n):(l=\"x\",c=n,h=\"y\",f=i);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function c(t){return u(o?r:n,+t,!0).text}var h,f,p=i.textinfo,d=t[e],m=p.split(\"+\"),g=[],y=function(t){return-1!==m.indexOf(t)};if(y(\"label\")&&g.push((f=t[e].p,u(o?n:r,f,!0).text)),y(\"text\")&&(0===(h=a.castOption(i,d.i,\"text\"))||h)&&g.push(h),s){var v=+d.rawS||d.s,x=d.v,_=x-v;y(\"initial\")&&g.push(c(_)),y(\"delta\")&&g.push(c(v)),y(\"final\")&&g.push(c(x))}if(l){y(\"value\")&&g.push(c(d.s));var b=0;y(\"percent initial\")&&b++,y(\"percent previous\")&&b++,y(\"percent total\")&&b++;var w=b>1;y(\"percent initial\")&&(h=a.formatPercent(d.begR),w&&(h+=\" of initial\"),g.push(h)),y(\"percent previous\")&&(h=a.formatPercent(d.difR),w&&(h+=\" of previous\"),g.push(h)),y(\"percent total\")&&(h=a.formatPercent(d.sumR),w&&(h+=\" of total\"),g.push(h))}return g.join(\"<br>\")}(e,r,n,i):m.getValue(s.text,r),m.coerceString(v,o)}(z,n,i,S,P);k=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>b;if(F&&\"none\"!==k&&(!N.isBlank&&s!==c&&h!==p||\"auto\"!==k&&\"inside\"!==k)){var q=z.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),Z=d.getOutsideTextFont(D,i,q),W=D.insidetextanchor||\"end\",Y=r.datum();R?\"log\"===S.type&&Y.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&Y.s0<=0&&(h=P.range[0]<P.range[1]?P._length:0);var X,$,J,K,Q,tt=Math.abs(c-s),et=Math.abs(p-h),rt=tt-2*b,nt=et-2*b;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",X=O(r,F,Q=a.ensureUniformFontSize(t,G)),J=($=l.bBox(X.node())).width,K=$.height;var it,at=J>0&&K>0;it=V?U?E(rt-2*g,nt,J,K,R)||E(rt,nt-2*g,J,K,R):R?E(rt-(g-y),nt,J,K,R)||E(rt,nt-2*(g-y),J,K,R):E(rt,nt-(g-y),J,K,R)||E(rt-2*(g-y),nt,J,K,R):E(rt,nt,J,K,R),at&&it?k=\"inside\":(k=\"outside\",X.remove(),X=null)}else k=\"inside\";if(!X){var ot=(X=O(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?Z:G))).attr(\"transform\");if(X.attr(\"transform\",\"\"),J=($=l.bBox(X.node())).width,K=$.height,X.attr(\"transform\",ot),J<=0||K<=0)return void X.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,h=i.height,f=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*b?b:0:f>2*b?b:0;var d=1;l&&(d=s?Math.min(1,p/h):Math.min(1,f/u));var m=C(c),g=L(i,m),y=(s?g.x:g.y)/2,v=(i.left+i.right)/2,x=(i.top+i.bottom)/2,_=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(_=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:v,textY:x,targetX:_,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:m}}(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):I(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:W,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,f(\"histogram\"===D.type?\"bar\":D.type,st,z),N.transform=st;var ct=M(X,z,w,T);a.setTransormAndDisplay(ct,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,Z,W,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(c,R.select(\"text\"),w,P,h.xcalendar,h.ycalendar)}));var Z=!1===h.cliponaxis;l.setClipUrl(c,Z?null:e.layerClipId,t)}));c.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:I}},88384:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,c=\"h\"===s.orientation,u=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var h=i[n],f=\"ct\"in h?h.ct:e(h,a,o,c,l);r.contains(f,!1,n,t)?(u.push({pointNumber:n,x:a.c2d(h.x),y:o.c2d(h.y)}),h.selected=1):h.selected=0}return u}},2880:function(t,e,r){\"use strict\";t.exports=i;var n=r(34809).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l],u=c.p;void 0===u&&(u=c[i]),void 0!==u&&a.push(u)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var h=n(a);this.distinctPositions=h.vals,1===h.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(h.minDiff,r);var 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c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),g=!1,y=0;y<c.length;y++){o=c[y];for(var v=0;v<(o.pts||[]).length;v++){var x=m(l=o.pts[v]);x<=t.distance&&(t.distance=x,g=[y,v])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var _=u.c2p(l.x,!0),b=h.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(f.marker||{}).color,name:f.name,x0:_-w,x1:_+w,y0:b-w,y1:b+w,spikeDistance:t.distance,hovertemplate:f.hovertemplate});var T,k=o.orig_p,A=void 0!==k?k:o.pos;return\"h\"===f.orientation?(T=h,n.xLabelVal=l.x,n.yLabelVal=A):(T=u,n.xLabelVal=A,n.yLabelVal=l.y),n[T._id.charAt(0)+\"Spike\"]=T.c2p(o.pos,!0),s(l,f,n),n}t.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=c(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},53794:function(t,e,r){\"use strict\";t.exports={attributes:r(64625),layoutAttributes:r(64636),supplyDefaults:r(62294).supplyDefaults,crossTraceDefaults:r(62294).crossTraceDefaults,supplyLayoutDefaults:r(65067).supplyLayoutDefaults,calc:r(89429),crossTraceCalc:r(81606).crossTraceCalc,plot:r(95419).plot,style:r(59979).style,styleOnSelect:r(59979).styleOnSelect,hoverPoints:r(11448).hoverPoints,eventData:r(76429),selectPoints:r(72488),moduleType:\"trace\",name:\"box\",basePlotModule:r(37703),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},64636:function(t){\"use 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_=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);_.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),_.exit().remove(),_.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=h.c2l(t.pos+p,!0),a=h.l2p(e-s)+m,o=h.l2p(e+l)+m,_=f?(a+o)/2:h.l2p(e)+m,b=r.whiskerwidth,w=f?a*b+(1-b)*_:h.l2p(e-d)+m,T=f?o*b+(1-b)*_:h.l2p(e+d)+m,k=h.l2p(e-s*x)+m,A=h.l2p(e+l*x)+m,M=\"sd\"===r.sizemode,S=u.c2p(M?t.mean-t.sd:t.q1,!0),E=M?u.c2p(t.mean+t.sd,!0):u.c2p(t.q3,!0),C=i.constrain(M?u.c2p(t.mean,!0):u.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),L=void 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n=r(34809).isArray1D;t.exports=function(t,e,r){var i=r(\"x\"),a=i&&i.length,o=r(\"y\"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},92802:function(t,e,r){\"use strict\";var n=r(3208).rb,i=r(6893),a=r(87163),o=r(9829),s=r(10229).defaultLine,l=r(93049).extendFlat,c=i.marker.line;t.exports=l({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:i.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:i.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:l({},o.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},12702:function(t,e,r){\"use strict\";var 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t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),\"hover\").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(!e.hovertemplate){var n=r.hi||e.hoverinfo,o=String(r.loc),s=\"all\"===n?i.hoverinfo.flags:n.split(\"+\"),l=-1!==s.indexOf(\"name\"),c=-1!==s.indexOf(\"location\"),u=-1!==s.indexOf(\"z\"),h=-1!==s.indexOf(\"text\"),f=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&f.push(o)),u&&f.push(t.zLabel),h&&a(r,e,f),t.extraText=f.join(\"<br>\")}}(t,h,o),[t]}},58075:function(t,e,r){\"use 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d.geojson=null}if(\"geojson\"===n.fitbounds&&\"geojson-id\"===l){var y=a.computeBbox(a.getTraceGeojson(r));h=[y[0],y[2]],f=[y[1],y[3]]}var v={padded:!0};r._extremes.lon=s(n.lonaxis._ax,h,v),r._extremes.lat=s(n.lataxis._ax,f,v)},plot:function(t,e,r){var a=e.layers.backplot.select(\".choroplethlayer\");i.makeTraceGroups(a,r,\"trace choropleth\").each((function(e){var r=n.select(this).selectAll(\"path.choroplethlocation\").data(i.identity);r.enter().append(\"path\").classed(\"choroplethlocation\",!0),r.exit().remove(),l(t,e)}))}}},43727:function(t){\"use strict\";t.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},59342:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(62203),o=r(88856);function s(t,e){var 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n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},40980:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},94149:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(34770);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},9419:function(t,e,r){\"use strict\";t.exports={attributes:r(34770),supplyDefaults:r(94149),colorbar:r(12431),calc:r(12702),plot:r(30316),hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return i}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:r(34091),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}},30316:function(t,e,r){\"use strict\";var n=r(40980).convert,i=r(40980).convertOnSelect,a=r(8814).traceLayerPrefix;function o(t,e){this.type=\"choroplethmap\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"fill\",a+e+\"-fill\"],[\"line\",a+e+\"-line\"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t)),t[0].trace._glTrace=this},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86227:function(t,e,r){\"use strict\";var n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},51335:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},8244:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(86227);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],_.min,0,_.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(_.max-_.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:h},c.heatmap.layout.visibility=\"visible\",c}},1892:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(17347);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},8919:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},54478:function(t,e,r){\"use strict\";var n=r(29714),i=r(18016).hoverPoints,a=r(18016).getExtraText;t.exports=function(t,e,r){var o=i(t,e,r);if(o){var 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n,i=r(81481),a=r(36640).line,o=r(9829),s=r(80712).axisHoverFormat,l=r(3208).rb,c=r(3208).ay,u=r(87948),h=r(93049).extendFlat,f=r(78766);t.exports={x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),hovertext:i.hovertext,hovertemplate:l({},{keys:u.eventDataKeys}),hoverinfo:h({},o.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent 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n=r(29714),i=r(40528),a=r(43179),o=r(48861),s=r(63821).BADNUM;function l(t){return t===s?0:t}t.exports=function(t,e){var r,c,u,h,f,p,d,m,g=n.getFromId(t,e.xaxis||\"x\"),y=n.getFromId(t,e.yaxis||\"y\");\"h\"===e.orientation?(r=g.makeCalcdata(e,\"x\"),u=y.makeCalcdata(e,\"y\"),h=i(e,y,\"y\",u),f=!!e.yperiodalignment,p=\"y\"):(r=y.makeCalcdata(e,\"y\"),u=g.makeCalcdata(e,\"x\"),h=i(e,g,\"x\",u),f=!!e.xperiodalignment,p=\"x\"),c=h.vals;var v,x=Math.min(c.length,r.length),_=new Array(x);for(e._base=[],d=0;d<x;d++){r[d]<0&&(r[d]=s);var b=!1;r[d]!==s&&d+1<x&&r[d+1]!==s&&(b=!0),m=_[d]={p:c[d],s:r[d],cNext:b},e._base[d]=-.5*m.s,f&&(_[d].orig_p=u[d],_[d][p+\"End\"]=h.ends[d],_[d][p+\"Start\"]=h.starts[d]),e.ids&&(m.id=String(e.ids[d])),0===d&&(_[0].vTotal=0),_[0].vTotal+=l(m.s),m.begR=l(m.s)/l(_[0].s)}for(d=0;d<x;d++)(m=_[d]).s!==s&&(m.sumR=m.s/_[0].vTotal,m.difR=void 0!==v?m.s/v:1,v=m.s);return a(_,e),o(_,e),_}},87948:function(t){\"use 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P=h.selectAll(\"g.value-bullet\").data([u.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(_)?P.select(\"rect\").transition().duration(_.duration).ease(_.easing).each(\"end\",(function(){b&&b()})).each(\"interrupt\",(function(){b&&b()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var z=r.filter((function(){return 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n=r(71293).wrap,i=r(65477).hasColorscale,a=r(28379),o=r(48965),s=r(62203),l=r(34809),c=r(10721);function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var O=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(O),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",C).on(\"mouseout\",L),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",I).on(\"drag\",P).on(\"dragend\",z)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),f.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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_=t.parcatsViewModel.x+i,b=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];o.loneHover({trace:f,x:_-d.left+m.left,y:b-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:f._input,fullData:f,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function _(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),h=u.parcatsViewModel,f=h.model.dimensions[u.model.dimensionInd],p=h.trace,d=c.top+c.height/2;h.dimensions.length>1&&f.displayInd===h.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,y=m/u.parcatsViewModel.model.count,v={countLabel:m,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",v.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+v.categoryLabel+\"):\",v.probabilityLabel].join(\" \"));var _=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:_,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(c),M(c,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,c):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),h=c.categoryViewModel,f=h.parcatsViewModel,p=f.model.dimensions[h.model.dimensionInd],d=f.trace,m=l.y+l.height/2;f.dimensions.length>1&&p.displayInd===f.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=h.model.categoryLabel,y=c.parcatsViewModel.model.count,v=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(v+=t.count)}));var x=h.model.count,_=0;f.pathSelection.each((function(t){t.model.color===c.color&&(_+=t.model.count)}));var b=v/y,w=v/_,T=v/x,k={countLabel:v,categoryLabel:g,probabilityLabel:b.toFixed(3)},A=[];-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:b,categorycount:x,colorcount:_,bandcolorcount:v}]}}(r,a,c):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,c)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function L(t){var e=t.parcatsViewModel;e.dragDimension||(b(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function I(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function z(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return 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e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var 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b=y.categoryInds[_],w=i[_][b],T=a[_];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||y.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:y.color,rawColor:y.rawColor,height:g,width:k.width,count:y.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=g,E.count+=y.count}}v=\"hspline\"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),f[m]={key:y.valueInds[0],model:y,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:v,parcatsViewModel:t}}t.paths=f}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var 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r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),_(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?_(t.parentNode,s):(s(),_(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},79846:function(t,e,r){\"use strict\";t.exports={attributes:r(59549),supplyDefaults:r(12842),calc:r(20113),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(67207),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},67207:function(t,e,r){\"use strict\";var n=r(45568),i=r(4173).eV,a=r(58823),o=r(62972);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},20113:function(t,e,r){\"use strict\";var n=r(34809).isArrayOrTypedArray,i=r(88856),a=r(71293).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},77911:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},12842:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),f(e,m,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(u,\"labelfont\",y),n.coerceFont(u,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},62935:function(t,e,r){\"use strict\";var n=r(34809).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},83910:function(t,e,r){\"use strict\";var n=r(79846);n.plot=r(58823),t.exports=n},1293:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(77911).maxDimensionCount,o=r(34809),s=1e-6,l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var 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left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},h,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},96052:function(t,e,r){\"use strict\";var n=r(44122);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},44148:function(t,e,r){\"use strict\";var n=r(10721),i=r(65657),a=r(78766),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<f;r++){var v,x,_;if(p){if(v=h[r],!n(v))continue;v=+v}else v=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var b=d[x=String(x)];void 0===b?(d[x]=a.length,(_=-1!==l.indexOf(x))||(g+=v),a.push({v:v,label:x,color:m(u[r],x),i:r,pts:[r],hidden:_})):(y=!0,(i=a[b]).v+=v,i.pts.push(r),i.hidden||(g+=v),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var h=i[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},46979:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(55412),o=r(13792).N,s=r(17550).handleText,l=r(34809).coercePattern;function c(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function u(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:c,handleMarkerDefaults:u,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var h=c(l(\"labels\"),l(\"values\")),f=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),f){e._length=f,u(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),m=l(\"texttemplate\");if(m||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),m||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var v=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},50568:function(t,e,r){\"use strict\";var n=r(36040).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},75067:function(t,e,r){\"use strict\";var n=r(62203),i=r(78766);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},37252:function(t,e,r){\"use strict\";var n=r(34809);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},49913:function(t,e,r){\"use strict\";t.exports={attributes:r(55412),supplyDefaults:r(46979).supplyDefaults,supplyLayoutDefaults:r(13464),layoutAttributes:r(4031),calc:r(44148).calc,crossTraceCalc:r(44148).crossTraceCalc,plot:r(35734).plot,style:r(140),styleOne:r(32891),moduleType:\"trace\",name:\"pie\",basePlotModule:r(96052),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},4031:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},13464:function(t,e,r){\"use strict\";var n=r(34809),i=r(4031);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},35734:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(32141),o=r(78766),s=r(62203),l=r(34809),c=l.strScale,u=l.strTranslate,h=r(30635),f=r(84102),p=f.recordMinTextSize,d=f.clearMinTextSize,m=r(56155).TEXTPAD,g=r(37252),y=r(50568),v=r(34809).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,h=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var f=h.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:c._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),h.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),v=r.separators,x=[];if(f&&-1!==f.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(h.hovertext||h.text,t.pts),f&&-1!==f.indexOf(\"text\")){var _=t.text;l.isValidTextValue(_)&&x.push(_)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,v),f&&-1!==f.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,v),f&&-1!==f.indexOf(\"percent\")&&x.push(t.percentLabel);var b=h.hoverlabel,w=b.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:h.hovertemplate||-1!==f.indexOf(\"name\")?h.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(h.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,h)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,h)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function _(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,c=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,u=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,h=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,f=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:c,textcase:u,lineposition:h,shadow:f}}function b(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(h.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(h||f){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(h||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||h){var v=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/v,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||f)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,_=0,b=0;b<m.length;b++){var w=m[b].scale;if(_<w&&(_=w,x=b),!d&&_>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c=t.r/(void 0===(l=t.trace.aspectratio)?1:l),u=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(u+=c,o.x-=(1+i)*c,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?u*=2:-1!==a.title.position.indexOf(\"right\")&&(u+=c,o.x+=(1+i)*c,s.tx-=t.titleBox.width/2),r=u/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?u=(c=r.r)/i.aspectratio:c=(u=r.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=g.getFirstFilled(i.text,e.pts);v(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var _=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),b=g.getFirstFilled(i.text,e.pts);(v(b)||\"\"===b)&&(_.text=b),e.text=l.texttemplateString(x,_,t._fullLayout._d3locale,_,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,f=a._size;d(\"pie\",a),b(e,t),z(e,f);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],y=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,n=O(a,s+=l*r.v/2),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var b=[[[],[]],[[],[]]],T=!1;v.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,b[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,f=n.select(this),d=f.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),f.call(x,t,e),y.pull){var v=+g.castOption(y.pull,i.pts)||0;v>0&&(c+=v*i.pxmid[0],u+=v*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=y.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+I(i.px0,i.pxmid,!0,1)+I(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+I(i.px0,i.pxmid,!1,k)+I(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=I(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+I(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(y.textposition,i.pts),L=f.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),f=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):_(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,f).call(h.convertToTspans,t);var d,v=s.bBox(r.node());if(\"outside\"===E)d=C(v,i);else if(d=w(v,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=C(v=s.bBox(r.node()),i)}var b=d.textPosAngle,k=void 0===b?i.pxmid:O(m.r,b);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,v),d.outside){var A=d.targetY;i.yLabelMin=A-v.height/2,i.yLabelMid=A,i.yLabelMax=A+v.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=f.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function I(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(h.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(m):L(m,f),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,c,u,h,f,p,d,m;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,u,h,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-m;if(x*c>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(u=0;u<f.length;u++)(h=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*c>0?(x=h.cyFinal+o(h.px0[1],h.px1[1])-m-t.labelExtraY)*c>0&&(t.labelExtraY+=x):(y+t.labelExtraY-v)*c>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(p=h.cxFinal+a(h.px0[0],h.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:v,o=n?Math.max:Math.min,c=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),h=t[1-n][r],f=h.concat(u),d=[],p=0;p<u.length;p++)void 0!==u[p].yLabelMid&&d.push(u[p]);for(m=!1,p=0;n&&p<h.length;p++)if(void 0!==h[p].yLabelMid){m=h[p];break}for(p=0;p<d.length;p++){var _=p&&d[p-1];m&&!p&&(_=m),x(d[p],_)}}}(b,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=f.w*(M.x[1]-M.x[0]),E=f.h*(M.y[1]-M.y[0]),I=(.5*S-m.r)/f.w,P=(.5*E-m.r)/f.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-I,xr:M.x[1]+I,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:_,positionTitleOutside:L,prerenderTitles:b,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},140:function(t,e,r){\"use strict\";var n=r(45568),i=r(32891),a=r(84102).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},32891:function(t,e,r){\"use strict\";var n=r(78766),i=r(37252).castOption,a=r(75067);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,c=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",c).call(n.stroke,l)}},36961:function(t,e,r){\"use strict\";var n=r(36640);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},71593:function(t,e,r){\"use strict\";var n=r(99098).gl_pointcloud2d,i=r(34809).isArrayOrTypedArray,a=r(55010),o=r(32919).findExtremes,s=r(11539);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var c=l.prototype;c.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},c.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},c.updateFast=function(t){var e,r,n,i,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)i=c[l],s=u[l],r[l]=l,n[2*l]=i,n[2*l+1]=s,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;m[3]*=y,this.pointcloudOptions.color=m;var v=t.marker.blend;null===v&&(v=c.length<100||u.length<100),this.pointcloudOptions.blend=v,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,_=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=_,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var b=this.scene.xaxis,w=this.scene.yaxis,T=_/2||.5;t._extremes[b._id]=o(b,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},c.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var u=0;for(T=0;T<r.targetLinks.length;T++)u+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var L=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=L[0]-d/2,A.nodes[w].x1=L[0]+d/2;var I=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=L[1]-I/2,A.nodes[w].y1=L[1]+I/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:u.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+a+\",\"+h,m=\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(h+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+f)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function C(t){t.call(E)}function L(t,e){t.call(C),e.attr(\"d\",M())}function I(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function z(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(f.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),f.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),L(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}_.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,_=r.filter((function(t){return v(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(_,g);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",z),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",z);var C=b.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);C.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=C.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(O,b,i.linkEvents),L.style(\"stroke\",(function(t){return P(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return P(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return P(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||s||m?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var 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n=r(65477).hasColorscale,i=r(28379),a=r(64726);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},32660:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},75603:function(t,e,r){\"use strict\";var n=r(26544),i=r(24782).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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r.yLabel=c[1].toFixed(3),r}},59420:function(t,e,r){\"use strict\";var n=r(37255),i=r(34809).fillText;t.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(f,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var y=(f.hi||p.hoverinfo).split(\"+\");-1!==y.indexOf(\"all\")&&(y=[\"a\",\"b\",\"text\"]),-1!==y.indexOf(\"a\")&&v(d.aaxis,f.a),-1!==y.indexOf(\"b\")&&v(d.baxis,f.b),g.push(\"y: \"+s.yLabel),-1!==y.indexOf(\"text\")&&i(f,p,g),s.extraText=g.join(\"<br>\")}return o}function v(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},56534:function(t,e,r){\"use 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(36640),s=r(9829),l=r(87163),c=r(94850).T,u=r(93049).extendFlat,h=r(13582).overrideAll,f=o.marker,p=o.line,d=f.line;t.exports=h({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=m.SYMBOL_SDF_SIZE,M=m.SYMBOL_SIZE,S=m.SYMBOL_STROKE,E={},C=c.symbolFuncs[0](.05*M);function L(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=c.symbolNumber(a),s=c.symbolFuncs[o%100],l=!!c.symbolNoDot[o%100],u=!!c.symbolNoFill[o%100],h=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var f=c.getMarkerAngle(t,e);return r=h&&!l?s(1.1*M,f)+C:s(M,f),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:u?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=x(t,e),n.textSel=T(t,e,e.selected),n.textUnsel=T(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=b(0,e),n.markerSel=w(0,e,e.selected),n.markerUnsel=w(0,e,e.unselected),!e.unselected&&l(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(m.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=k(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=k(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:b,markerSelection:w,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>m.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),h=r.length/2,f={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,m=-1/0,g=0,y=0;g<h;g++,y+=4){var v=t[g];if(n(v)){var x=r[2*g+c],_=l(v,g),b=_[0],w=_[1];if(n(b)&&n(w)){var T=v-b,k=v+w;p[y+u[0]]=x-i.c2l(T),p[y+u[1]]=i.c2l(k)-x,p[y+u[2]]=0,p[y+u[3]]=0,d=Math.min(d,v-b),m=Math.max(m,v+w)}}}f[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,c),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,c=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var h=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(c)?c.length>1?c[i]:c[0]:c,m=l(u)?u.length>1?u[i]:u[0]:u,g=y[d],v=y[m],x=h?h/.8+1:0,_=-v*x-.5*v;o.offset[i]=[g*x/p,_/p]}}return o}}},86590:function(t,e,r){\"use strict\";var n=r(34809),i=r(33626),a=r(4075),o=r(92089),s=r(32660),l=r(64726),c=r(99867),u=r(99669),h=r(24272),f=r(98168),p=r(54114),d=r(663);t.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var _=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",_),l.hasMarkers(e)&&(h(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||v?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),f(t,e,r,m,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var b=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,b||w||r,{axis:\"y\"}),T(t,e,b||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},85686:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(20438).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(h.length||f.length){var y=d.color,v=m.color,x=p.color,_=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],g.color[r]=y||(_?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var b=_?x[r]:x;g.color[r]=v||(y?b:i.addOpacity(b,a))}}c.glText[u].update(g)}}},99185:function(t,e,r){\"use strict\";var n=r(15294);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},4075:function(t,e,r){\"use strict\";var n=r(29483);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},36544:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=r(11539);function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=i.isArrayOrTypedArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=i.isArrayOrTypedArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family,f.tw=Array.isArray(p.weight)?p.weight[h]:p.weight,f.ty=Array.isArray(p.style)?p.style[h]:p.style,f.tv=Array.isArray(p.variant)?p.variant[h]:p.variant);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.ma=i.isArrayOrTypedArray(d.angle)?d.angle[h]:d.angle,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var m=d&&d.line;m&&(f.mlc=Array.isArray(m.color)?m.color[h]:m.color,f.mlw=i.isArrayOrTypedArray(m.width)?m.width[h]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(f.mgt=Array.isArray(g.type)?g.type[h]:g.type,f.mgc=Array.isArray(g.color)?g.color[h]:g.color);var y=s.c2p(f.x,!0),v=l.c2p(f.y,!0),x=f.mrc||1,_=o.hoverlabel;_&&(f.hbg=Array.isArray(_.bgcolor)?_.bgcolor[h]:_.bgcolor,f.hbc=Array.isArray(_.bordercolor)?_.bordercolor[h]:_.bordercolor,f.hts=i.isArrayOrTypedArray(_.font.size)?_.font.size[h]:_.font.size,f.htc=Array.isArray(_.font.color)?_.font.color[h]:_.font.color,f.htf=Array.isArray(_.font.family)?_.font.family[h]:_.font.family,f.hnl=i.isArrayOrTypedArray(_.namelength)?_.namelength[h]:_.namelength);var b=o.hoverinfo;b&&(f.hi=Array.isArray(b)?b[h]:b);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,f),x0:y-x,x1:y+x,xLabelVal:k?k[h]:f.x,y0:v-x,y1:v+x,yLabelVal:A?A[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?M.text=f.htx:f.tx?M.text=f.tx:o.text&&(M.text=o.text),i.fillText(f,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d,m=t.cd,g=m[0].t,y=m[0].trace,v=t.xa,x=t.ya,_=g.x,b=g.y,w=v.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=v.p2c(w-k),M=v.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var C=k;if(\"x\"===n){var L=!!y.xperiodalignment,I=!!y.yperiodalignment;for(u=0;u<i.length;u++){if(l=_[a=i[u]],h=Math.abs(v.c2p(l)-w),L){var P=v.c2p(y._xStarts[a]),z=v.c2p(y._xEnds[a]);h=w>=Math.min(P,z)&&w<=Math.max(P,z)?0:1/0}if(h<C){if(C=h,c=b[a],f=x.c2p(c)-T,I){var O=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);f=T>=Math.min(O,D)&&T<=Math.max(O,D)?0:1/0}d=Math.sqrt(h*h+f*f),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=_[a=i[u]],c=b[a],h=v.c2p(l)-w,f=x.c2p(c)-T,(p=Math.sqrt(h*h+f*f))<C&&(C=d=p,s=a);return t.index=s,t.distance=C,t.dxy=d,void 0===s?[t]:[o(t,_,b,y)]},calcHover:o}},52378:function(t,e,r){\"use strict\";var n=r(68258);n.plot=r(47731),t.exports=n},47731:function(t,e,r){\"use strict\";var n=r(62172),i=r(49478),a=r(29978),o=r(74024),s=r(34809),l=r(70414).selectMode,c=r(22459),u=r(64726),h=r(17210),f=r(85686).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,h=i.w*n,f=i.h*n;return[s+e.domain[0]*h,l+r.domain[0]*f,a-c-(1-e.domain[1])*h,o-u-(1-r.domain[1])*f]}(t.exports=function(t,e,r){if(r.length){var m,g,y=t._fullLayout,v=e._scene,x=e.xaxis,_=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var b=v.count,w=y._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!v.line2d&&!v.error2d||v.scatter2d||v.fill2d||v.glText||w.clear({}),!0===v.error2d&&(v.error2d=a(w)),!0===v.line2d&&(v.line2d=i(w)),!0===v.scatter2d&&(v.scatter2d=n(w)),!0===v.fill2d&&(v.fill2d=i(w)),!0===v.glText)for(v.glText=new Array(b),m=0;m<b;m++)v.glText[m]=new o(w);if(v.glText){if(b>v.glText.length){var T=b-v.glText.length;for(m=0;m<T;m++)v.glText.push(new o(w))}else if(b<v.glText.length){var k=v.glText.length-b;v.glText.splice(b,k).forEach((function(t){t.destroy()}))}for(m=0;m<b;m++)v.glText[m].update(v.textOptions[m])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var A=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(A)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=v.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],_=y[2*e+1];isNaN(x)||isNaN(_)||p.push(x,_)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var b=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<b.length;a+=2)(isNaN(b[a])||isNaN(b[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(b),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(m=0;m<b;m++){var C=r[m][0],L=C.trace,I=C.t,P=I.index,z=L._length,O=I.x,D=I.y;if(L.selectedpoints||S||E){if(S||(S=!0),L.selectedpoints){var R=v.selectBatch[P]=s.selIndices2selPoints(L),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<z;g++)F[g]||B.push(g);v.unselectBatch[P]=B}var N=I.xpx=new Array(z),j=I.ypx=new Array(z);for(g=0;g<z;g++)N[g]=x.c2p(O[g]),j[g]=_.c2p(D[g])}else I.xpx=I.ypx=null}if(S){if(v.select2d||(v.select2d=n(y._glcanvas.data()[1].regl)),v.scatter2d){var U=new Array(b);for(m=0;m<b;m++)U[m]=v.selectBatch[m].length||v.unselectBatch[m].length?v.markerUnselectedOptions[m]:{};v.scatter2d.update(U)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var V={viewport:d(y,x,_,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(_._rl||_.range)[0],(x._rl||x.range)[1],(_._rl||_.range)[1]]},q=s.repeat(V,v.count);v.fill2d&&v.fill2d.update(q),v.line2d&&v.line2d.update(q),v.error2d&&v.error2d.update(q.concat(q)),v.scatter2d&&v.scatter2d.update(q),v.select2d&&v.select2d.update(q),v.glText&&v.glText.forEach((function(t){t.update(V)}))}else v.init()}}).reglPrecompiled=p},62336:function(t,e,r){\"use strict\";var n=r(34809);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return 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k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},57387:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(71388),u=r(13624).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},58240:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},66762:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},67275:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(8814).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},30929:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermap\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===a){i=!0;break}i?(this.subplot.setOptions(a,\"setLayoutProperty\",n.layout),\"visible\"===n.layout.visibility&&this.subplot.setOptions(a,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)},l.update=function(t){var e=t[0].trace,r=this.subplot,n=r.map,a=i(r.gd,t),s=r.belowLookup[\"trace-\"+this.uid],l=!(!e.cluster||!e.cluster.enabled),c=!!this.clusterEnabled,u=this;function h(t){c?function(t){for(var e=o.cluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i])}t||n.removeSource(u.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]),t||n.removeSource(u.sourceIds[i])}}(t)}function f(t){l?function(t){t||u.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n<r.length;n++){var 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(6893),s=r(36640),l=r(67514),c=r(9829),u=r(87163),h=r(93049).extendFlat,f=r(13582).overrideAll,p=r(67514),d=o.line,m=o.marker;t.exports=f({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:h({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:h({},m.opacity,{dflt:1})},mode:h({},s.mode,{dflt:\"markers\"}),text:h({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:h({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:h({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:m.opacity,size:m.size,sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode},u(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:h({},c.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},2795:function(t){\"use strict\";var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return-1!==e.indexOf(t)}}},27009:function(t,e,r){\"use 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var y,v,_=[];for(e=0;e<t.length;e++){var b=t[e],w=b.lonlat;if(!x(w)){var T={};r&&(T.mcc=b.mcc=r(b.mc)),a&&(T.mrc=b.mrc=a(b.ms)),o&&(T.mo=o(b.mo)),f&&(T.selected=b.selected||0),_.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:w},properties:T})}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<_.length;e++){var k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},38302:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(95833),u=r(2795).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},68197:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},69009:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},18016:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(44245).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},83866:function(t,e,r){\"use strict\";[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/javascript/maplibre-migration/\"].join(\" \"),t.exports={attributes:r(95833),supplyDefaults:r(38302),colorbar:r(21146),formatLabels:r(69009),calc:r(75649),plot:r(20691),hoverPoints:r(18016).hoverPoints,eventData:r(68197),selectPoints:r(60784),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:r(68192),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},20691:function(t,e,r){\"use strict\";var n=r(34809),i=r(27009),a=r(44245).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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T=0;T<x.length;T++)e.contains([y[T],v[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:_[T]}),i(b,T)):-1!==b.indexOf(T)?i(b,T):w.push(T);var k=c.matrixOptions;return b.length||w.length?c.selectBatch.length||c.unselectBatch.length||c.matrix.update(c.unselectedOptions,n.extendFlat({},k,c.selectedOptions,c.viewOpts)):c.matrix.update(k,null),c.selectBatch=b,c.unselectBatch=w,p}},14774:function(t,e,r){\"use strict\";var n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(42450),s=r(9829),l=r(93049).extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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C=function(){v=0,M=[],S=[],E=[]};(!v||v<M.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?m:\"y\"===t?g:y},I=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[v-1]<t[0]?-1:1},z=L(A[1]),O=L(A[3]),D=L(A[5]),R=I(A[1]).length,F=I(A[3]).length,B=I(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(L(A[1])),V=P(L(A[3])),q=P(L(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),W=j(e+1,r,i);if(z[H]*U<z[G]*U&&O[H]*V<O[Z]*V&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[u];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var v=o[u];r.yMax=Math.max(r.yMax,v),r.yMin=Math.min(r.yMin,v);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},49280:function(t,e,r){\"use strict\";var n=r(99098).gl_streamtube3d,i=n.createTubeMesh,a=r(34809),o=r(46998).parseColorScale,s=r(88856).extractOpts,l=r(88239),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return 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P.lightPosition=[O.x,O.y,O.z],P.ambient=e.lighting.ambient,P.diffuse=e.lighting.diffuse,P.specular=e.lighting.specular,P.roughness=e.lighting.roughness,P.fresnel=e.lighting.fresnel,P.opacity=e.opacity,e._pad=P.tubeScale*e.sizeref*2,P}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},52737:function(t,e,r){\"use 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n=r(9829),i=r(3208).rb,a=r(3208).ay,o=r(87163),s=r(13792).u,l=r(55412),c=r(2032),u=r(93049).extendFlat,h=r(94850).k;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:h,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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s,l=_.getPtId(t.parent);T.each((function(t){if(_.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(_.getPtId(t)===r)return c=e}));var h=u.length,f=a(s.x0,s.x1);e={rpx0:z,rpx1:z,x0:f(c/h),x1:f((c+1)/h)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(b&&R){var $=_.getPtId(R);T.each((function(t){null===X&&_.getPtId(t)===$&&(X=t.x1)}))}var J=T;function K(t){var e=t.parent,r=F[_.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}b&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);_.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),h=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",f?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),b?h.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:z,rpx1:z},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):h.attr(\"d\",Z),c.call(v,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(_.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),h.call(g,i,A,t);var p=s.ensureSingle(c,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,_.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=m(M,i,k),i.transform.targetX=W(i),i.transform.targetY=Y(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,u(A.type,r,y),s.getTextTransform(r)};b?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),h=a(e.x1,t.x1),f=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=h(t),a=function(t){return m(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(A.type,n,y),{transform:{targetX:W(s),targetY:Y(s),scale:f(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&_.hasTransition(r);h(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),c&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=_.isHierarchyRoot(t),p=_.getParent(h,t),d=_.getValue(t);if(!a){var m,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},v=[];if(y(\"label\")&&u.label&&v.push(u.label),u.hasOwnProperty(\"v\")&&y(\"value\")&&v.push(_.formatValue(u.v,l)),!f){y(\"current path\")&&v.push(_.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var b=x>1;if(x){var w,T=function(t){m=_.formatPercent(w,l),b&&(m+=\" of \"+t),v.push(m)};y(\"percent parent\")&&!f&&(w=d/_.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/_.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/_.getValue(h),T(\"root\"))}}return y(\"text\")&&(m=s.castOption(r,u.i,\"text\"),s.isValidTextValue(m)&&v.push(m)),v.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=_.formatValue(u.v,l)),A.currentPath=_.getPath(t.data),f||(A.percentParent=d/_.getValue(p),A.percentParentLabel=_.formatPercent(A.percentParent,l),A.parent=_.getPtLabel(p)),A.percentEntry=d/_.getValue(e),A.percentEntryLabel=_.formatPercent(A.percentEntry,l),A.entry=_.getPtLabel(e),A.percentRoot=d/_.getValue(h),A.percentRootLabel=_.formatPercent(A.percentRoot,l),A.root=_.getPtLabel(h),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},98972:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(34809),o=r(84102).resizeText,s=r(72043);function l(t,e,r,n){var o=e.data.data,l=!e.children,c=o.i,u=a.castOption(r,c,\"marker.line.color\")||i.defaultLine,h=a.castOption(r,c,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",h).call(i.stroke,u).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16131:function(t,e,r){\"use strict\";var n=r(78766),i=r(87163),a=r(80712).axisHoverFormat,o=r(3208).rb,s=r(9829),l=r(93049).extendFlat,c=r(13582).overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var h=t.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(28379);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},27159:function(t,e,r){\"use strict\";var n=r(99098).gl_surface3d,i=r(99098).ndarray,a=r(99098).ndarray_linear_interpolate.d2,o=r(69295),s=r(78106),l=r(34809).isArrayOrTypedArray,c=r(46998).parseColorScale,u=r(55010),h=r(88856).extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],y=8191&g,v=g>>>13,x=0|o[3],_=8191&x,b=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Z=0|s[2],W=8191&Z,Y=Z>>>13,X=0|s[3],$=8191&X,J=X>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var yt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(v,U)|0,a=Math.imul(v,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var vt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Y)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Y)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(_,U),i=(i=Math.imul(_,V))+Math.imul(b,U)|0,a=Math.imul(b,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Y)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Y)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(_,H)|0,i=(i=i+Math.imul(_,G)|0)+Math.imul(b,H)|0,a=a+Math.imul(b,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Y)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Y)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,J)|0;var _t=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(_,W)|0,i=(i=i+Math.imul(_,Y)|0)+Math.imul(b,W)|0,a=a+Math.imul(b,Y)|0,n=n+Math.imul(y,$)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(v,$)|0,a=a+Math.imul(v,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var bt=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Y)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Y)|0,n=n+Math.imul(_,$)|0,i=(i=i+Math.imul(_,J)|0)+Math.imul(b,$)|0,a=a+Math.imul(b,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Y)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Y)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(_,Q)|0,i=(i=i+Math.imul(_,tt)|0)+Math.imul(b,Q)|0,a=a+Math.imul(b,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Y)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Y)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(_,rt)|0,i=(i=i+Math.imul(_,nt)|0)+Math.imul(b,rt)|0,a=a+Math.imul(b,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,Y)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Y)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(_,at)|0,i=(i=i+Math.imul(_,ot)|0)+Math.imul(b,at)|0,a=a+Math.imul(b,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Y)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(_,lt)|0,i=(i=i+Math.imul(_,ct)|0)+Math.imul(b,lt)|0,a=a+Math.imul(b,ct)|0,n=n+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,ft)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Y))+Math.imul(N,W)|0,a=Math.imul(N,Y),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(_,ht)|0,i=(i=i+Math.imul(_,ft)|0)+Math.imul(b,ht)|0,a=a+Math.imul(b,ft)|0;var St=(c+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,dt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(_,dt)|0)|0)+((8191&(i=(i=i+Math.imul(_,mt)|0)+Math.imul(b,dt)|0))<<13)|0;c=((a=a+Math.imul(b,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,mt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=xt,l[4]=_t,l[5]=bt,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],y=n[u+p+o],v=h*g-f*y;y=h*y+f*g,g=v,r[u+p]=d+g,n[u+p]=m+y,r[u+p+o]=d-g,n[u+p+o]=m-y,p!==s&&(v=l*h-c*f,f=l*f+c*h,h=v)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,h,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function _(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(x,v),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(_,v),i(b,v),i(w,v),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new _;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var y=this.pow(h,new a(1).iushln(d-g-1));f=f.redMul(y),h=y.redSqr(),p=p.redMul(h),d=g}return f},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==h||0!==o?(o<<=1,o|=h,(4==++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(f.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=f.left,f._color=1,f.left=p,l[h-2]=f,l[h-1]=s,i(p),i(f),h>=3&&((m=l[h-3]).right===p?m.right=f:m.left=f);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}else{var d;if(!(d=p.left)||0!==d._color){var m;f.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=f,s.left=p,l[h-2]=s,l[h-1]=f,i(p),i(f),i(s),h>=3&&((m=l[h-3]).right===p?m.right=s:m.left=s);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return c(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new u(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new u(this,t)}}),o.at=function(t){if(t<0)return new u(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new u(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new u(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new 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e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var c=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var u=o[c-1];for(o.push(new e(s._color,u.key,u.value,s.left,s.right,s._count)),o[c-1].key=s.key,o[c-1].value=s.value,l=o.length-2;l>=c;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[c-1].left=o[c]}if(0===(s=o[o.length-1])._color){var h=o[o.length-2];for(h.left===s?h.left=null:h.right===s&&(h.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?f(s,s.left):s.right&&f(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).left===a?c.left=s:c.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).right===a?c.right=s:c.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var c;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(h,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),h.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=ArrayBuffer,u=DataView;function h(t){return Array.isArray(t)||function(t){return c.isView(t)&&!(t instanceof u)}(t)}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function m(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?h(a)&&h(a[0]):h(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(h(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var m=0;m<3;++m)p[d][m]!==this.bounds[d][m]&&(f=!0),this.bounds[d][m]=p[d][m];if(\"ticks\"in t)for(r=t.ticks,u=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),l(\"tickFontStyle\")&&(u=!0),l(\"tickFontWeight\")&&(u=!0),l(\"tickFontVariant\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],v=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,y,this.ticks,v):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,v),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new m,new m,new m];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var v=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var _=[0,0,0],b=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),u=c.cubeEdges,h=c.axis,p=n[12],d=n[13],m=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*m+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=u[A],this.lastCubeProps.axis[A]=h[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,u,h);e=this.gl;var S,E,C,L=v;for(A=0;A<3;++A)this.backgroundEnable[A]?L[A]=h[A]:L[A]=0;for(this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var I=[0,0,0];h[A]>0?I[A]=a[1][A]:I[A]=a[0][A];for(var P=0;P<2;++P){var z=(A+1+P)%3,O=(A+1+(1^P))%3;this.gridEnable[z]&&this._lines.drawGrid(z,O,this.bounds,I,this.gridColor[z],this.gridWidth[z]*this.pixelRatio)}for(P=0;P<2;++P)z=(A+1+P)%3,O=(A+1+(1^P))%3,this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(z,O,this.bounds,I,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=f(_,M[A].primalMinor),R=f(b,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];D[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(C=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=f(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),C=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,C,S)}if(this.labelEnable[A]){for(E=0,C=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],C,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var g=c;c=u,u=g}var y=n(t,new Float32Array(e)),v=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],v),_=a(t);return _.attributes.position.location=0,_.attributes.normal.location=1,new o(t,y,x,_)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var v=0,x=0;x<2;++x){u[2]=a[x][2];for(var _=0;_<2;++_){u[1]=a[_][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[v],u,s),v+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);o(c[z],c[I],c[P],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<A);else{for(L=0;L<2;++L){I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<M)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N))}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var m=[1,1,1],g=[0,0,0],y={cubeEdges:m,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var m=+r[h][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[h]=f,l[h]=g-f,f=o.length/3|0;for(var y=0;y<r[h].length;++y)m=+r[h][y].x,o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1);g=o.length/3|0,c[h]=f,u[h]=g-f}var v=n(t,new Float32Array(o)),x=i(t,[{buffer:v,type:t.FLOAT,size:3,stride:0,offset:0}]),_=a(t);return _.attributes.position.location=0,new p(t,v,x,_,l,s,u,c)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=h(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\n\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var c=n(t),h=a(t,[{buffer:c,size:3}]),f=s(t);f.attributes.position.location=0;var p=new u(t,f,c,h);return p.update(e,r,i,o,l),p};var n=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||i.global||{},c=l.__TEXT_CACHE||{};function u(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var h=u.prototype,f=[0,0];h.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},h.unbind=function(){this.vao.unbind()},h.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),u=c[l];u||(u=c[l]={});var h=u[e];h||(h=u[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,p=h.positions,d=h.cells,m=0,g=d.length;m<g;++m)for(var y=d[m],v=2;v>=0;--v){var x=p[y[v]];a.push(f*x[0],-f*x[1],t)}}for(var l=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(a.length/3|0)-h[d],l[d]=a.length/3|0;for(var m=0;m<n[d].length;++m)if(n[d][m].text){var g={family:n[d][m].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][m].x,n[d][m].text,g,n[d][m].fontSize||12,1.25,p)}u[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=u,this.labelOffset=h,this.labelCount=f},h.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},h.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},h.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var h=\"\"+c;h.length<i;)h=\"0\"+h;return u+\".\"+h}return u}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,y=e.projection||c,v=e._ortho||!1,x=t.bounds,_=(h=h||a(f,p,y,x,v)).axis;o(u,p,f),o(u,y,u);for(var b=m,w=0;w<3;++w)b[w].lo=1/0,b[w].hi=-1/0,b[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(_[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[A]=x[C^w][A];for(var L=0;L<2;++L)S[M]=x[L^C^w][M],E.push(S.slice())}var I=v?5:4;for(C=I;C===I;++C){if(0===E.length)continue t;E=i.positive(E,T[C])}for(C=0;C<E.length;++C){M=E[C];var P=d(g,u,M,r,l);for(L=0;L<3;++L)b[L].lo=Math.min(b[L].lo,M[L]),b[L].hi=Math.max(b[L].hi,M[L]),L!==k&&(b[L].pixelsPerDataUnit=Math.min(b[L].pixelsPerDataUnit,Math.abs(P[L])))}}}}return b};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var m=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,m=[],g=1/0,y=!1,v=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var _=r[x];s=Math.min(_[0],s),l=Math.max(_[0],l),c=Math.min(_[1],c),u=Math.max(_[1],u),h=Math.min(_[2],h),f=Math.max(_[2],f);var b=i[x];if(n.length(b)>o&&(o=n.length(b)),x&&!v){var w=2*n.distance(p,_)/(n.length(d)+n.length(b));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=_,d=b),m.push(b)}var T=[s,c,h],k=[l,u,f];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(v?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],I=m[x],P=n.length(I)*A,z=0;z<8;z++){a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),c=r(9618),u=r(6729),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),m=Math.max(m,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),m=Math.max(m,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var v=n[g],x=0;x<3;++x)!isNaN(v[x])&&isFinite(v[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],v[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],v[x]));var _=0;t:for(g=0;g<r.length;++g){var b=r[g];if(3===b.length){for(x=0;x<3;++x){v=n[T=b[x]];for(var w=0;w<3;++w)if(isNaN(v[w])||!isFinite(v[w]))continue t}for(x=0;x<3;++x){var T;v=n[T=b[2-x]],a.push(v[0],v[1],v[2],v[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=f;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(v[2]-d)/(m-d),0],l.push(A[0],A[1]),h.push(g)}_+=1}}this.triangleCount=_,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(s(u,c.view,c.model),s(u,c.projection,u),l(u,u),o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=i(t),d=i(t),m=i(t),g=i(t),y=i(t),v=new f(t,h,l,u,p,d,y,m,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return v.update(e),v}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * (view * worldPosition);\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new 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u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=f(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=f(r,i,a,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),h(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));f[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((f[p+3]||f[p+2]||f[p+1])&&(c+=g[p]+\"\\n\",f[p+1])){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}return{long:c.trim(),short:u.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new c(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(c=y[0]=r[0],u=y[1]=o[0],h=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(c=y[0]=r[0]+(r[1]-r[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var v=1/(h-c),x=1/(p-u),_=e[0],b=e[1];this.shape=[_,b];var w=(l?(_-1)*(b-1):_*b)*(f.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?_-1:_,C=l?b-1:b,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<b-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<b-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=v*(r[z]-c),D=v*(r[z+1]-c)):(O=z<_-1?v*(r[z]-(r[z+1]-r[z])/2-c):v*(r[z]-(r[z]-r[z-1])/2-c),D=z<_-1?v*(r[z]+(r[z+1]-r[z])/2-c):v*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*_+(z+U):L*_+z],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Z=1-G,W=4*H,Y=4*(H+1);F=Z*m[W]+G*m[Y],B=Z*m[W+1]+G*m[Y+1],N=Z*m[W+2]+G*m[Y+2],j=Z*m[W+3]+G*m[Y+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=L*_+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new y(e,r,o,s,l,d);return m.update(t),m};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),c=r(9618),u=r(7319),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return!this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),y=0;for(h=0;h<3;++h){if(g[h]<-.001||g[h]>1.0001)return null;y+=g[h]}return Math.abs(y-1)>.001?null:[f,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),c=r(7608),u=r(9618),h=r(6729),f=r(7765),p=r(1888),d=r(840),m=r(7626),g=d.meshShader,y=d.wireShader,v=d.pointShader,x=d.pickShader,_=d.pointPickShader,b=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=x,this.pointColors=b,this.pointUVs=T,this.pointSizes=k,this.pointIds=_,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],m=n[h][1],g=i[h],y=1-g,v=this.positions[d],x=this.positions[m],_=0;_<3;++_)o[s++]=g*v[_]+y*x[_]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],m=[],g=[],y=[],v=[],x=[],_=[],b=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R)F=z[R],O=Math.min(O,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],O=Math.min(O,F),D=Math.max(D,F);this.intensity=I||z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?v.push(Y[0],Y[1],Y[2],this.opacity):(v.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?_.push(B[W]):_.push(N),b.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?d.push(Y[0],Y[1],Y[2],this.opacity):(d.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],m.push(X[0],X[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var W,Y,X,$;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Y=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?a.push(Y[0],Y[1],Y[2],this.opacity):(a.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),$=w?w[W]:T[R],l.push($[0],$[1],$[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(v),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(b)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(l(u,s.view,s.model),l(u,s.projection,u),c(u,u),o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),c=S(t),h=E(t),f=C(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),v=i(t),x=i(t),_=i(t),b=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:_,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),L=i(t),I=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,c,h,f,d,_,m,v,x,b,w,L,k,A,I,P,R,z,O,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],y=a[m+2]-g,v=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*y/x,c[m]=2*(g-v)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var _=0;for(m=0;m<2;++m){h[0]=h[1]=0,h[m]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=f[m];var b=6*n[m].length;p[m]&&b&&i.drawArrays(i.TRIANGLES,_,b),_+=b}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,y=s.screenBox,v=y[2]-y[0],x=y[3]-y[1],_=m[2]-m[0],b=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=_/v,t[0]*=_/v,e[1]*=b/x,t[1]*=b/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*h[0].length,P=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/v,o[1]=C[1]*g/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=C[0]*g/v,o[1]=E[0]*g/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D)),i[0]=2*(m[2]+E[3])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/v,o[1]=C[3]*g/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=C[2]*g/v,o[1]=E[2]*g/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=f[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,y=e.tickAngle,v=e.labelEnable,x=e.labelPad,_=e.labelColor,b=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var M=2/f[2+(1^t)]-f[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t],r.uniforms.angle=b[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t+2],r.uniforms.angle=b[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],m=a[o+2]-h,g=i[o],y=i[o+2]-g;p[o]=2*l/u*m/y,f[o]=2*(s-c)/u*m/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,m=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",v=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var _=1/(c[o+2]-c[o]),b=c[o],w=m.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:v,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-b)*_);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],f[d]):o.drawLine(e[0],m,e[2],m,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,v=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],v[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],v[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],v[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],v[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),y=!!(2&e),v=!!(4&e),x=1/t.clientHeight,_=x*(r-d._lastX),b=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!f&&!p&&!m||g&&!f&&!p&&m)&&c.rotate(A,w*k*_,-T*k*b,0),(l&&g&&!f&&!p&&!m||y||g&&f&&!p&&!m)&&c.pan(A,-d.translateSpeed*_*h,d.translateSpeed*b*h,0),u&&g&&!f&&!p&&!m||v||g&&!f&&p&&!m)){var M=-d.zoomSpeed*b/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,h*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),c=r(7169),u=r(351),h=r(4772),f=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var v=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,_=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),b=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],C=[],L=[],I=[],P=!0,z=!0,O={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:v,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:O,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}function j(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,D);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},P=!0,z=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),C.push(-1),P=!0,z=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(_.dispose(),t=0;t<I.length;++t)I[t].dispose();b.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=u(e,(function(t,e,r){if(!F._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(z=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();O.view=F.camera.matrix,P=P||t,z=z||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=F.pixelRatio,L.axes=F.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(z=z||y,P=P||y){if(y){var v=[0,0,0];for(o=0;o<3;++o)v[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:v}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(i,-p,p,-1,1,l,c),n._ortho=!0):(h(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(L=E[o]).axesBounds=d,F.clipToBounds&&(L.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(O))}i.end()}}}()),F.axesPixels=a(F.axes,O,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(O)),S.axes=A,x.object&&S.draw(O),r.disable(r.CULL_FACE),o=0;o<e;++o)(L=E[o]).axes=A,L.pixelRatio=F.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(O),L.isTransparent&&L.isTransparent()&&(M=!0);if(M){for(_.shape=D,_.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o)(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(O);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(O)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),b.bind(),_.color[0].bind(0),b.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],m=r[2],g=r[3];return(a=c*p+u*d+h*m+f*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*m,t[3]=s*f+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var c,u,h=n(t,s);if(r&&1!==r){for(c=0;c<l.positions.length;++c)for(u=0;u<l.positions[c].length;++u)l.positions[c][u]/=r;for(c=0;c<h.positions.length;++c)for(u=0;u<h.positions[c].length;++u)h.positions[c][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],p=h.positions.length;for(c=0;c<p;++c){var d=h.positions[c];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return o[t]=[l,h,f]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,h)},e.createOrtho=function(t){return y(t,f)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,m)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),c=r(9366),u=r(5964),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return f.isView(t)&&!(t instanceof p)}(t)}function m(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return m(n,n),m(n,n),m(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),m=new x(e,r,n,o,h,f,p,d,a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,c,u);return m.update(t),m};var _=x.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},_.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var b=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=h.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function C(t){return t[0]=t[1]=t[2]=0,t}function L(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function I(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function z(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],b[0]=2/o.drawingBufferWidth,b[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=b,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var y=M,v=0;v<16;++v)y[v]=0;for(v=0;v<4;++v)y[5*v]=1;y[5*m]=0,i[m]<0?y[12+m]=p[0][m]:y[12+m]=p[1][m],s(y,c,y),l.model=y;var x=(m+1)%3,_=(m+2)%3,P=C(w),z=C(T);P[x]=1,z[_]=1;var O=g(0,0,0,L(k,P)),D=g(0,0,0,L(A,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=x;x=_,_=F}O[0]<0&&(P[x]=-1),D[1]>0&&(z[_]=-1);var B=0,N=0;for(v=0;v<4;++v)B+=Math.pow(c[4*x+v],2),N+=Math.pow(c[4*_+v],2);P[x]/=Math.sqrt(B),z[_]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=I(S,d[0],m,-1e8),l.fragClipBounds[1]=I(S,d[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var c=t.uniforms;c.model=n.model||h,c.view=n.view||h,c.projection=n.projection||h,b[0]=2/l.drawingBufferWidth,b[1]=2/l.drawingBufferHeight,c.screenSize=b,c.highlightId=r.highlightId,c.highlightScale=r.highlightScale,c.fragClipBounds=P,c.clipBounds=r.axes.bounds,c.opacity=r.opacity,c.pickGroup=r.pickId/255,c.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=u(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,c=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],c=t[1],u=t[2],h=a[0].length,f=a[1].length,p=a[2].length,d=o(a[0],l),m=o(a[1],c),g=o(a[2],u),y=d+1,v=m+1,x=g+1;if(d=s(d,0,h-1),y=s(y,0,h-1),m=s(m,0,f-1),v=s(v,0,f-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||m<0||g<0||y>h-1||v>f-1||x>p-1)return n.create();var _,b,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][m],C=a[1][v],L=a[2][g],I=(l-M)/(S-M),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,y=h-1-y),r.reversedY&&(m=f-1-m,v=f-1-v),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=v*p,_=d*p*f,b=y*p*f;break;case 4:k=g,A=x,_=d*p,b=y*p,w=m*p*h,T=v*p*h;break;case 3:w=m,T=v,k=g*f,A=x*f,_=d*f*p,b=y*f*p;break;case 2:w=m,T=v,_=d*f,b=y*f,k=g*f*h,A=x*f*h;break;case 1:_=d,b=y,k=g*h,A=x*h,w=m*h*p,T=v*h*p;break;default:_=d,b=y,w=m*h,T=v*h,k=g*h*f,A=x*h*f}var O=i[_+w+k],D=i[_+w+A],R=i[_+T+k],F=i[_+T+A],B=i[b+w+k],N=i[b+w+A],j=i[b+T+k],U=i[b+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Z=n.create(),W=n.create();n.lerp(Z,V,H,P),n.lerp(W,q,G,P);var Y=n.create();return n.lerp(Y,Z,W,z),Y}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],v=e[0][1],x=e[0][2],_=e[1][0],b=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>_||r<v||r>b||n<x||n>w)},k=10*n.distance(e[0],e[1])/c,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,c=0;c<s;c++){var u=t[c],h=u[0],f=u[1],p=u[2];i[h]||(e.push(h),i[h]=!0),a[f]||(r.push(f),a[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),m=l(r),g=l(n),y=Math.min(d,m,g);return isFinite(y)?y:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=m(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.length<c&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-A>-1e-4*A&&(I.push(N),O=N,P.push(z),R=m(N,z),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),L=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],m=0,g=0,y=i.create(),v=i.create(),x=0;x<o.length;x++){var _=o[x],b=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(b)/a,y=i.create(),n.copy(y,b),y[3]=w;for(var T=0;T<8;T++)p[T]=[_[0],_[1],_[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(v,y,y,y,v,v),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=f;f=p,p=M;var S=v;v=y,y=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=h.length;for(h=h.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity),c=0;c<m.cells.length;c++){var y=m.cells[c],v=[];f.push(v);for(var x=0;x<y.length;x++)v.push(y[x]+g)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var c=r(6740),u=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return u(t,e,{shaders:c,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=v(e),n=_(e),s=x(e),l=b(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,h,f,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),c=r(5298),u=r(9994),h=r(9618),f=r(3711),p=r(6760),d=r(7608),m=r(2478),g=r(6199),y=r(990),v=y.createShader,x=y.createContourShader,_=y.createPickShader,b=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,c,u,f,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var C=E.prototype;C.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},C.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},C.isOpaque=function(){return!this.isTransparent()},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],I={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=I.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=I.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return I.showSurface=o,I.showContour=s,I}var z={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=P(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(h.uniforms.height=this.contourLevels[o][m],f.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}C.draw=function(t){return R.call(this,t,!1)},C.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}C.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},C.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,g=h*(f?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(p,d)*g;for(var v=this._pickResult.level,x=0;x<3;++x)if(v[x]=m.le(this.contourLevels[x],c[x]),v[x]<0)this.contourLevels[x].length>0&&(v[x]=0);else if(v[x]<this.contourLevels[x].length-1){var _=this.contourLevels[x][v[x]],b=this.contourLevels[x][v[x]+1];Math.abs(_-c[x])>Math.abs(b-c[x])&&(v[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},C.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},C.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var v=this._field,x=h(s.mallocFloat(3*v[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),v[o],\"mirror\");var _=h(s.mallocFloat(3*v[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var b=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,C=M*w-S*b,L=b*A-w*T,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),_.set(o,y,0,E*I),_.set(o,y,1,C*I),_.set(o,y,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Z=o+k[H][0],W=y+k[H][1],Y=this._field[0].get(Z+1,W+1),X=this._field[1].get(Z+1,W+1);G=this._field[2].get(Z+1,W+1),E=_.get(Z+1,W+1,0),C=_.get(Z+1,W+1,1),L=_.get(Z+1,W+1,2),t.intensity&&($=t.intensity.get(Z,W));var $=t.intensity?t.intensity.get(Z,W):G+this.objectOffset[2];F[N++]=Z,F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=$,F[N++]=E,F[N++]=C,F[N++]=L,P[0]=Math.min(P[0],Y+this.objectOffset[0]),P[1]=Math.min(P[1],X+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,$),z[0]=Math.max(z[0],Y+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,$),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(_.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){v=this._field,a=this.shape;for(var K=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=f(this._field[Q],tt[o]);et.push(K.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),a[1]),G=dt<2?this._field[mt].get(Z,W):(this.intensity.get(Z,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var vt=gt*yt;nt[dt]+=vt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)K.pop();U-=1}continue t}K.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var _t=s.mallocFloat(K.length);for(o=0;o<K.length;++o)_t[o]=K[o];this._contourBuffer.update(_t),s.freeFloat(_t)}},C.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},C.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var y=m[e],v=0;v<2;++v){var x=g[y[v]],_=+x[0],b=0|_,w=0|Math.min(b+1,i[0]),T=_-b,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*h.get(b,M)+I*h.get(b,S)+P*h.get(w,M)+z*h.get(w,S),D=L*p.get(b,M)+I*p.get(b,S)+P*p.get(w,M)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)h=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var v=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,v,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,y)}var _=m(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,c,h),l||a.free(p),new f(t,_,o[0],o[1],g,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new f(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=c(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,h){var f=h.dtype,p=h.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var m=0,g=0,y=d(p,h.stride.slice());if(\"float32\"===f?m=t.FLOAT:\"float64\"===f?(m=t.FLOAT,y=!1,f=\"float32\"):\"uint8\"===f?m=t.UNSIGNED_BYTE:(m=t.UNSIGNED_BYTE,y=!1,f=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],h=n(h.data,p,[h.stride[0],h.stride[1],1],h.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=c(u-=a*p,h-=o*p,f-=s*p),m=(u/=d)*e+a*r,g=(h/=d)*e+o*r,y=(f/=d)*e+s*r;this.center.move(t,m,g,y);var v=Math.exp(this.computedRadius[0]);v=Math.max(1e-4,v+n),this.radius.set(t,Math.log(v))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],h=e[a+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),m=Math.max(f,p,d);f===m?(s=s<0?-1:1,l=h=0):d===m?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var g=c(s,l,h);s/=g,l/=g,h/=g}var y,v,x=e[o],_=e[o+4],b=e[o+8],w=x*s+_*l+b*h,T=c(x-=s*w,_-=l*w,b-=h*w),k=l*(b/=T)-h*(_/=T),A=h*(x/=T)-s*b,M=s*_-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,Z),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,_,b),2===a){var 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e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},tr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},tr.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var rr=Object.freeze({__proto__:null,number:er,color:function(t,e,r){return new ce(er(t.r,e.r,r),er(t.g,e.g,r),er(t.b,e.b,r),er(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return er(t,e[n],r)}))}}),nr=.95047,ir=1,ar=1.08883,or=4/29,sr=6/29,lr=3*sr*sr,cr=sr*sr*sr,ur=Math.PI/180,hr=180/Math.PI;function fr(t){return t>cr?Math.pow(t,1/3):t/lr+or}function pr(t){return t>sr?t*t*t:lr*(t-or)}function dr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function mr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function gr(t){var e=mr(t.r),r=mr(t.g),n=mr(t.b),i=fr((.4124564*e+.3575761*r+.1804375*n)/nr),a=fr((.2126729*e+.7151522*r+.072175*n)/ir);return{l:116*a-16,a:500*(i-a),b:200*(a-fr((.0193339*e+.119192*r+.9503041*n)/ar)),alpha:t.a}}function yr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=ir*pr(e),r=nr*pr(r),n=ar*pr(n),new ce(dr(3.2404542*r-1.5371385*e-.4985314*n),dr(-.969266*r+1.8760108*e+.041556*n),dr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function vr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var xr={forward:gr,reverse:yr,interpolate:function(t,e,r){return{l:er(t.l,e.l,r),a:er(t.a,e.a,r),b:er(t.b,e.b,r),alpha:er(t.alpha,e.alpha,r)}}},_r={forward:function(t){var e=gr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*hr;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*ur,r=t.c;return 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a=Qe(e,n),o=e[a],s=e[a+1],l=wr.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?rr[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?_r.reverse(_r.interpolate(_r.forward(c),_r.forward(u),l)):xr.reverse(xr.interpolate(xr.forward(c),xr.forward(u),l))},wr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},wr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},wr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var kr=function(t,e){this.type=t,this.args=e};kr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return ie(n,t.type)}));return new kr(c?Jt:r,i)},kr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof pe&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},kr.prototype.eachChild=function(t){this.args.forEach(t)},kr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},kr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Ar.prototype.evaluate=function(t){return this.result.evaluate(t)},Ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Ar.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Ar(r,o):null},Ar.prototype.outputDefined=function(){return this.result.outputDefined()},Ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Mr=function(t,e,r){this.type=t,this.index=e,this.input=r};Mr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,ee(e.expectedType||Jt));if(!r||!n)return null;var i=n.type;return new Mr(i.itemType,r,n)},Mr.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new xe(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new xe(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new xe(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},Mr.prototype.eachChild=function(t){t(this.index),t(this.input)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var Sr=function(t,e){this.type=Yt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Yt,Wt,Zt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Zt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Yt,Wt,Zt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Zt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Er.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var Cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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t[0],t[1].outputDefined()}))&&this.otherwise.outputDefined()},Lr.prototype.serialize=function(){var t=[\"case\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ir=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function Pr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function zr(t,e,r,n){return 0===n.compare(e,r)}function Or(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Yt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,Jt);if(!a)return null;if(!Pr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type 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Xr([new qt(\"\",\"data expressions not supported\")]);var i=Xe(r,[\"zoom\"]);if(!i&&!Jr(e))return Xr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Xr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Xr([a]);if(a instanceof wr&&!Kr(e))return Xr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Yr(new fn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Yr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var mn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(i[u])f=i[u];else if(n[u])f=Hn;else if(i[\"*\"])f=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Hn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function vn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+c+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function _n(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),u=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(vn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Kr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!$r(t.valueSpec)?u.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Bt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return un(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=Qr(t.value),l=Ut(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return $r(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,c,\"integer expected, found \"+l)]}}function bn(t){var e=(\"property\"===t.expressionContext?dn:hn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Xe(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!We(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}mn.deserialize=function(t){return new mn(t._parameters,t._specification)},mn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=hn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Cn(t[1],t[2],\"==\"):\"!=\"===r?Pn(Cn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Cn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Ln(t[1],t.slice(2)):\"!in\"===r?Pn(Ln(t[1],t.slice(2))):\"has\"===r?In(t[1]):\"!has\"===r?Pn(In(t[1])):\"within\"!==r||t}function Cn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Ln(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function In(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function zn(t){return Tn(Vt(t.value))?bn(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):On(t)}function On(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(On({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&$r(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&h.push(new Bt(r,a,'\"text-font\" does not support identity functions'))),h.concat(Hn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function Rn(t){return Dn(t,\"paint\")}function Fn(t){return Dn(t,\"layout\")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either \"type\" or \"ref\" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var c=Ut(r.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Ut(h.id)===c&&e.push(new Bt(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),i.layers.forEach((function(t){Ut(t.id)===l&&(o=t)})),o?o.ref?e.push(new Bt(n,r.ref,\"ref cannot reference another ref layer\")):s=Ut(o.type):e.push(new Bt(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=i.sources&&i.sources[r.source],p=f&&Ut(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Hn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:zn,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return\"string\"!==n?[new Bt(r,e,\"string expected, \"+n+\" found\")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+\".\"+i,value:r[i]}));return n}};function Un(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Bt(r,e,'\"type\" is required')];var a,o=Ut(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return yn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:jn});case\"geojson\":if(a=yn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:jn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],h=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,bn({key:r+\".\"+s+\".map\",value:u,expressionContext:\"cluster-map\"})),a.push.apply(a,bn({key:r+\".\"+s+\".reduce\",value:h,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return yn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return yn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Bt(r,null,\"Please use runtime APIs to add canvas 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0===e?t.specification.default:e,t.specification)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Zi=function(t){this.specification=t};Zi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Oi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom+1),e)),e)}},Zi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Zi.prototype.interpolate=function(t){return t};var Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Wi.prototype.interpolate=function(){return!1};var Yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ri(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};oi(\"DataDrivenProperty\",Hi),oi(\"DataConstantProperty\",qi),oi(\"CrossFadedDataDrivenProperty\",Gi),oi(\"CrossFadedProperty\",Zi),oi(\"ColorRampProperty\",Wi);var Xi=\"-transition\",$i=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ji(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Fi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Kn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Xi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Xi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),b(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Xn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&$r(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ki=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Qi);na.prototype.bytesPerElement=8,oi(\"StructArrayLayout4i8\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Qi);oa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2f8\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t},e}(Qi);sa.prototype.bytesPerElement=20,oi(\"StructArrayLayout10ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(Qi);la.prototype.bytesPerElement=24,oi(\"StructArrayLayout4i4ui4i24\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ca.prototype.bytesPerElement=12,oi(\"StructArrayLayout3f12\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return 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this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Qi);ha.prototype.bytesPerElement=20,oi(\"StructArrayLayout6i1ul2ui20\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Oi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Oi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=h(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new $a(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&$r(a.property.specification)){var o=ho(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||h){var f=fo(i,l,\"source\");this.binders[i]=h?new lo(s,l,c,e,f,t.id):new oo(s,o,l,f),n.push(\"/a_\"+i)}else{var p=fo(i,l,\"composite\");this.binders[i]=new so(s,o,l,c,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};co.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},co.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},co.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},co.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof oo||f instanceof so||f instanceof lo)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},co.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},co.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},co.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},co.prototype.getPaintVertexBuffers=function(){return this._buffers},co.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},co.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},co.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},co.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},co.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var uo=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new co(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function ho(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function fo(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:va,composite:oa}},i=function(t){return{\"line-pattern\":{source:sa,composite:sa},\"fill-pattern\":{source:sa,composite:sa},\"fill-extrusion-pattern\":{source:sa,composite:sa}}[t]}(t);return 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var $s=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ks,this,e),this.length=this._features.length}function Ks(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new $s(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Zs(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Zs,VectorTileLayer:$s},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h=vo(o,u);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var m=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var v=d[g-1];if(!al(y,v)){h.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(v)._perp()._unit(),_=v.dist(y);m+_>32768&&(m=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m),m+=_,nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m);var b=h.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=h.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];nl(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=as(w,T),I=0;I<L.length;I+=3)this.indexArray.emplaceBack(k+L[I],k+L[I+2],k+L[I+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Yi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return zo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Oo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];qo(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var y=[],v=[],x=0,_=g[m];x<_.length;x+=1){var b=_[x],w=b.x,T=b.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+c,C=S+u,L=k+h,I=A+f,P=M+p,z=S+d,O=new a((k+s)/C,(A+l)/C);O.z=E/C,y.push(O);var D=new a(L/z,I/z);D.z=P/z,v.push(D)}i.push(y),o.push(v)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],h=[l,c,o[s+1],u,l];bo(r,h)&&(n=Math.min(n,cl(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}($i);function ll(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=ll(s,s),h=ll(s,l),f=ll(l,l),p=ll(c,s),d=ll(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=i.z*v+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var _=1/0,b=0,w=e;b<w.length;b+=1){var T=w[b];_=Math.min(_,T.z)}return _}var ul=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,hl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,fl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,ml=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ml.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p=vo(l,f);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:f?p.geometry:yo(l),patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var v=y[g],x=v,_=x.geometry,b=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(v,_,b,r,{});var k=t[b].feature;e.featureIndex.insert(k,_,b,w,this.index)}},ml.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ml.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},ml.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ml.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ml.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,hl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ul),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ml.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ml.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},ml.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var u=0,h=e;u<h.length;u+=1){var f=h[u];this.addLine(f,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ml.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===fl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,h=this.overscaling<=16?15*po/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var y=c;y<l;y++)if(!(d=y===l-1?s?t[c+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(m=g),u&&(p=u),u=t[y],g=d?d.sub(u)._unit()._perp():m;var v=(m=m||g).add(g);0===v.x&&0===v.y||v._unit();var x=m.x*g.x+m.y*g.y,_=v.x*g.x+v.y*g.y,b=0!==_?1/_:1/0,w=2*Math.sqrt(2-2*_),T=_<pl&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&y>c){var A=u.dist(p);if(A>2*h){var M=u.sub(u.sub(p)._mult(h/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,f),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(b<a?E=\"miter\":b<=2&&(E=\"fakeround\")),\"miter\"===E&&b>i&&(E=\"bevel\"),\"bevel\"===E&&(b>2&&(E=\"flipbevel\"),b<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)v._mult(b),this.addCurrentVertex(u,v,0,0,f);else if(\"flipbevel\"===E){if(b>100)v=g.mult(-1);else{var C=b*m.add(g).mag()/m.sub(g).mag();v._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,v,0,0,f),this.addCurrentVertex(u,v.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(b*b-1),I=k?L:0,P=k?0:L;if(p&&this.addCurrentVertex(u,m,I,P,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,g,-I,-P,f)}else if(\"butt\"===E)this.addCurrentVertex(u,v,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,v,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,f),this.addCurrentVertex(u,m,1,1,f,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,f,!0),this.addCurrentVertex(u,g,0,0,f)));if(T&&y<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,f),u=j}}}}},ml.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ml.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6),this.lineClips){var u=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(u,this.lineClipsArray.length)}var 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r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,zl.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Zl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writeBytesField:function(t,e){this.writeTag(t,zl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,zl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,zl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Kl=3;function Ql(t,e,r){1===t&&r.readMessage(tc,e)}function tc(t,e,r){if(3===t){var n=r.readMessage(ec,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*Kl,height:s+2*Kl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function ec(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var rc=Kl;function nc(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else 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Ko({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ko.copy(u.data,l,{x:0,y:0},{x:h.x+ic,y:h.y+ic},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,m=d.x+ic,g=d.y+ic,y=p.data.width,v=p.data.height;Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Ko.copy(p.data,l,{x:0,y:v-1},{x:m,y:g-1},{width:y,height:1}),Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g+v},{width:y,height:1}),Ko.copy(p.data,l,{x:y-1,y:0},{x:m-1,y:g},{width:1,height:v}),Ko.copy(p.data,l,{x:0,y:0},{x:m+y,y:g},{width:1,height:v})}this.image=l,this.iconPositions=r,this.patternPositions=n};sc.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*ic,h:i.data.height+2*ic};r.push(a),e[n]=new ac(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},sc.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},sc.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",ac),oi(\"ImageAtlas\",sc);var lc={horizontal:1,vertical:2,horizontalOnly:3},cc=-17;var uc=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};uc.forText=function(t,e){var r=new uc;return r.scale=t||1,r.fontStack=e,r},uc.forImage=function(t){var e=new uc;return e.imageName=t,e};var hc=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function fc(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=hc.fromFeature(t,i);h===lc.vertical&&y.verticalizePunctuation();var v=zi.processBidirectionalText,x=zi.processStyledBidirectionalText;if(v&&1===y.sections.length){g=[];for(var _=0,b=v(y.toString(),_c(y,c,a,e,n,p,d));_<b.length;_+=1){var w=b[_],T=new hc;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,_c(y,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new hc;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,_c(y,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:y.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=0,p=cc,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,v=0,x=i;v<x.length;v+=1){var _=x[v];_.trim();var b=_.getMaxScale(),w=(b-1)*Cl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(_.length()){for(var M=0;M<_.length();M++){var S=_.getSection(M),E=_.getSectionIndex(M),C=_.getCharCode(M),L=0,I=null,P=null,z=null,O=Cl,D=!(l===lc.horizontal||!u&&!mi(C)||u&&(pc[C]||yi(C)));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Cl/h,I={width:F[0],height:F[1],left:ic,top:-rc,advance:D?F[1]:F[0]},L=w+(Cl-F[1]*S.scale),O=I.advance;var B=D?F[0]*S.scale-Cl*b:F[1]*S.scale-Cl*b;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=(b-S.scale)*Cl}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=I.advance*S.scale+c)}if(0!==k.length){var q=f-c;d=Math.max(q,d),wc(k,0,k.length-1,g,A)}f=0;var H=a*b+A;T.lineOffset=Math.max(A,w),p+=H,m=Math.max(H,m),++y}else p+=a,++y}var G=p-cc,Z=bc(o),W=Z.horizontalAlign,Y=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n-cc:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var m=d[p];m.x+=c,m.y+=u}})(t.positionedLines,g,W,Y,d,m,a,G,i.length),t.top+=-Y*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,g,o,s,l,h,c,f,m),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}hc.fromFeature=function(t,e){for(var r=new hc,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},hc.prototype.length=function(){return this.text.length},hc.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},hc.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},hc.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},hc.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},hc.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pc[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pc[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},hc.prototype.substring=function(t,e){var r=new hc;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},hc.prototype.toString=function(){return this.text},hc.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},hc.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(uc.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},hc.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(uc.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k(\"Reached maximum number of images 6401\")}else k(\"Can't add FormattedSection with an empty image.\")},hc.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pc={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},dc={};function mc(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Cl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a(0,0);u.push({tl:O,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Y,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,v=null;\"source\"===y.kind?(v=[Ac*i.layout.get(\"text-size\").evaluate(s,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((v=[Ac*d.compositeTextSizes[0].evaluate(s,{},m),Ac*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>eu||v[1]>eu)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,v,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,_=h;x<_.length;x+=1)f[_[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nu(t){for(var e in t)return t[e];return null}function iu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var au=tl.VectorTileFeature.types,ou=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function su(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=s?Math.min(eu,Math.round(s[0])):0,d=s?Math.min(eu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function lu(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function cu(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(_i(r[e].text))return!0;return!1}var uu=function(t){this.layoutVertexArray=new la,this.indexArray=new ma,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ca,this.opacityVertexArray=new ua,this.placedSymbolArray=new Sa};uu.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},uu.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ou,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},uu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",uu);var hu=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};hu.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},hu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",hu);var fu=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mc(this.zoom,e[\"text-size\"]),this.iconSizeData=Mc(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lc[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fu.prototype.createArrays=function(){this.text=new uu(new uo(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new uu(new uo(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new La,this.lineVertexArray=new Ia,this.symbolInstances=new Ca},fu.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},fu.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof fe&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new Oi(this.zoom),m=0,g=t;m<g.length;m+=1){var y=g[m],v=y.feature,x=y.id,_=y.index,b=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=vo(v,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(v));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=fe.factory(A);cu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ii()||this.hasRTLText&&zi.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:_,sourceLayerIndex:b,geometry:T.geometry,properties:v.properties,type:au[v.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lc.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||I,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,h),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(f,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fu.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},fu.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fu.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},fu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fu.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fu.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,this.canOverlap?a.sortKey:void 0),m=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lc.vertical?Math.PI/2:0,v=a.text&&a.text.sections,x=0;x<e.length;x++){var _=e[x],b=_.tl,w=_.tr,T=_.bl,k=_.br,A=_.tex,M=_.pixelOffsetTL,S=_.pixelOffsetBR,E=_.minFontScaleX,C=_.minFontScaleY,L=_.glyphOffset,I=_.isSDF,P=_.sectionIndex,z=d.vertexLength,O=L[1];su(p,s.x,s.y,b.x,O+b.y,A.x,A.y,r,I,M.x,M.y,E,C),su(p,s.x,s.y,w.x,O+w.y,A.x+A.w,A.y,r,I,S.x,M.y,E,C),su(p,s.x,s.y,T.x,O+T.y,A.x,A.y+A.h,r,I,M.x,S.y,E,C),su(p,s.x,s.y,k.x,O+k.y,A.x+A.w,A.y+A.h,r,I,S.x,S.y,E,C),lu(t.dynamicLayoutVertexArray,s,y),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},h,v&&v[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fu.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},fu.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},fu.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hu(fa,Al.members,ba),this.iconCollisionBox=new hu(fa,Al.members,ba);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},fu.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<i;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);c.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},c.verticalIconFeatureIndex=y.featureIndex;break}return c},fu.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},fu.prototype.hasTextData=function(){return this.text.segments.get().length>0},fu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fu.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},fu.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},fu.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},fu.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",fu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fu.MAX_GLYPHS=65535,fu.addDynamicAttributes=lu;var pu=new Yi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),du={paint:new Yi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Xt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pu},mu=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};mu.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},mu.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},mu.prototype.outputDefined=function(){return!1},mu.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",mu,{omit:[\"defaultValue\"]});var gu=function(t){function e(e){t.call(this,e,du)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||un(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new fu(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=du.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new mu(a),s=new cn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new fn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=du.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof fe)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}($i),yu={paint:new Yi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Zi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},vu=function(t){function e(e){t.call(this,e,yu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i),xu={paint:new Yi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},_u=function(t){function e(e){t.call(this,e,xu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i);var bu=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}($i),wu={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:_l,symbol:gu,background:vu,raster:_u};var Tu=s.HTMLImageElement,ku=s.HTMLCanvasElement,Au=s.HTMLVideoElement,Mu=s.ImageData,Su=s.ImageBitmap,Eu=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Eu.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Eu.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Eu.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Eu.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Cu=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Cu.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Cu.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Lu=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new Cu(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Iu(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Lu.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=L(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ui(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Lu.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Lu.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Lu.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(hi(e.error)):n(null,hi(e.data)))}else{var i=!1,a=L(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ui(e):null,data:ui(n,a)},a)}:function(t){i=!0},s=null,l=hi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Lu.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pu=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pu.prototype.setNorthEast=function(t){return this._ne=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.setSouthWest=function(t){return this._sw=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ou)e=t,r=t;else{if(!(t instanceof Pu)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pu.convert(a))}var o=t;return this.extend(Ou.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Ou(e.lng,e.lat),this._ne=new Ou(r.lng,r.lat)),this},Pu.prototype.getCenter=function(){return new Ou((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pu.prototype.getSouthWest=function(){return this._sw},Pu.prototype.getNorthEast=function(){return this._ne},Pu.prototype.getNorthWest=function(){return new Ou(this.getWest(),this.getNorth())},Pu.prototype.getSouthEast=function(){return new Ou(this.getEast(),this.getSouth())},Pu.prototype.getWest=function(){return this._sw.lng},Pu.prototype.getSouth=function(){return this._sw.lat},Pu.prototype.getEast=function(){return this._ne.lng},Pu.prototype.getNorth=function(){return this._ne.lat},Pu.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pu.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pu.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pu.prototype.contains=function(t){var e=Ou.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pu.convert=function(t){return!t||t instanceof Pu?t:new Pu(t)};var zu=6371008.8,Ou=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ou.prototype.wrap=function(){return new Ou(f(this.lng,-180,180),this.lat)},Ou.prototype.toArray=function(){return[this.lng,this.lat]},Ou.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ou.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return zu*Math.acos(Math.min(i,1))},Ou.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pu(new Ou(this.lng-r,this.lat-e),new Ou(this.lng+r,this.lat+e))},Ou.convert=function(t){if(t instanceof Ou)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ou(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ou(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Du=2*Math.PI*zu;function Ru(t){return Du*Math.cos(t*Math.PI/180)}function Fu(t){return(180+t)/360}function Bu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nu(t,e){return t/Ru(e)}function ju(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ou.convert(t);return new Uu(Fu(r.lng),Bu(r.lat),Nu(e,r.lat))},Uu.prototype.toLngLat=function(){return new Ou(360*this.x-180,ju(this.y))},Uu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Ru(ju(e));var t,e},Uu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Du*(t=ju(this.y),1/Math.cos(t*Math.PI/180));var t};var Vu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gu(0,t,t,e,r)};Vu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Iu(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Iu(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qu=function(t,e){this.wrap=t,this.canonical=e,this.key=Gu(t,e.z,e.z,e.x,e.y)},Hu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vu(r,+n,+i),this.key=Gu(e,t,r,n,i)};function Gu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hu.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hu(e,this.wrap,e,r,n),new Hu(e,this.wrap,e,r+1,n),new Hu(e,this.wrap,e,r,n+1),new Hu(e,this.wrap,e,r+1,n+1)]},Hu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hu.prototype.wrapped=function(){return new Hu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.unwrapTo=function(t){return new Hu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hu.prototype.toUnwrapped=function(){return new qu(this.wrap,this.canonical)},Hu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uu(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vu),oi(\"OverscaledTileID\",Hu,{omit:[\"posMatrix\"]});var Zu=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Zu.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Zu.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Zu.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Zu.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Zu.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Zu.prototype.getPixels=function(){return new Ko({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Zu.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},oi(\"DEMData\",Zu);var Wu=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Wu.prototype.encode=function(t){return this._stringToNumber[t]},Wu.prototype.decode=function(t){return this._numberToString[t]};var Yu=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Xu={geometry:{configurable:!0}};Xu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Xu.geometry.set=function(t){this._geometry=t},Yu.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yu.prototype,Xu);var $u=function(){this.state={},this.stateChanges={},this.deletedStates={}};$u.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},$u.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},$u.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},$u.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},$u.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,h=Object.keys(this.deletedStates[o][c]);u<h.length;u+=1){var f=h[u];delete this.state[o][c][f]}s[c]=this.state[o][c]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Ju=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new za,this.promoteId=e};function Ku(t,e,r,n,i){return _(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function th(t,e){return e-t}Ju.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<po&&u[1]<po&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ju.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Wu(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ju.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Qu(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Qu(t.cameraQueryGeometry),d=0,m=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Lo(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Io(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<m.length;d+=1){var g=m[d];f.push(g)}f.sort(th);for(var y,v={},x=function(a){var u=f[a];if(u!==y){y=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<f.length;_++)x(_);return v},Ju.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h)){var f=this.sourceLayerCoder.decode(r),d=this.vtLayers[f].feature(n);if(i.needGeometry){var m=vo(d,!0);if(!i.filter(new Oi(this.tileID.overscaledZ),m,this.tileID.canonical))return}else if(!i.filter(new Oi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,f),y=0;y<h.length;y++){var v=h[y];if(!(a&&a.indexOf(v)<0)){var x=s[v];if(x){var _={};void 0!==g&&c&&(_=c.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var b=p({},l[v]);b.paint=Ku(b.paint,x.paint,d,_,o),b.layout=Ku(b.layout,x.layout,d,_,o);var w=!u||u(d,x,_);if(w){var T=new Yu(d,this.z,this.x,this.y,g);T.layer=b;var k=t[v];void 0===k&&(k=t[v]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Ju.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=An(i),u=0,h=t;u<h.length;u+=1){var f=h[u];this.loadMatchingFeature(l,r,n,f,c,a,o,s,e)}return l},Ju.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Ju.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Ju,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var eh=function(t,e){this.tileID=t,this.uid=m(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};eh.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},eh.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},eh.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof fu){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof fu&&o.hasRTLText){this.hasRTLText=!0,zi.isLoading()||zi.isLoaded()||\"deferred\"!==Ii()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},eh.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},eh.prototype.getBucket=function(t){return this.buckets[t.id]},eh.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Eu(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Eu(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},eh.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},eh.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},eh.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<a.length;f++){var p=a.feature(f);if(o.needGeometry){var d=vo(p,!0);if(!o.filter(new Oi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Oi(this.tileID.overscaledZ),p))continue;var m=r.getId(p,i),g=new Yu(p,l,c,u,m);g.tile=h,t.push(g)}}},eh.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},eh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},eh.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},eh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},eh.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},eh.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},eh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},eh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},eh.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},eh.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},eh.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rh=s.performance,nh=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rh.mark(this._marks.start)};nh.prototype.finish=function(){rh.mark(this._marks.end);var t=rh.getEntriesByName(this._marks.measure);return 0===t.length&&(rh.measure(this._marks.measure,this._marks.start,this._marks.end),t=rh.getEntriesByName(this._marks.measure),rh.clearMarks(this._marks.start),rh.clearMarks(this._marks.end),rh.clearMeasures(this._marks.measure)),t},t.Actor=Lu,t.AlphaImage=Jo,t.CanonicalTileID=Vu,t.CollisionBoxArray=Aa,t.Color=ce,t.DEMData=Zu,t.DataConstantProperty=qi,t.DictionaryCoder=Wu,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=Oi,t.Event=Ot,t.Evented=Rt,t.FeatureIndex=Ju,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=sc,t.ImagePosition=ac,t.LineBucket=ml,t.LngLat=Ou,t.LngLatBounds=Pu,t.MercatorCoordinate=Uu,t.ONE_EM=Cl,t.OverscaledTileID=Hu,t.Point=a,t.Point$1=a,t.Properties=Yi,t.Protobuf=Pl,t.RGBAImage=Ko,t.RequestManager=Z,t.RequestPerformance=nh,t.ResourceType=bt,t.SegmentVector=Da,t.SourceFeatureState=$u,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=ma,t.StructArrayLayout4i8=na,t.SymbolBucket=fu,t.Texture=Eu,t.Tile=eh,t.Transitionable=Fi,t.Uniform1f=$a,t.Uniform1i=Xa,t.Uniform2f=Ja,t.Uniform3f=Ka,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qu,t.ValidationError=Bt,t.WritingMode=lc,t.ZoomHistory=fi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=c,t.bindAll=v,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ft&&(t.getActor().send(\"enforceCacheSizeLimit\",ht),xt=0)},t.clamp=h,t.clearTileCache=function(t){var e=s.caches.delete(ut);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fc,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=hn,t.createLayout=ta,t.createStyleLayer=function(t){return\"custom\"===t.type?new bu(t):new wu[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,$,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new j(s,$,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(W(r),Y(a),W(i),Y(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?G(p):this.points[p.index])}return c},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],h=i.points[u];h.parentId===t&&s.push(h.numPoints?G(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?Z(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),a.features.push(u)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),c=0;c<t.length;c++){var u=t[c];if(!(u.zoom<=e)){u.zoom=e;for(var h=this.trees[e+1],f=h.within(u.x,u.y,l),p=u.numPoints||1,d=p,m=0,g=f;m<g.length;m+=1){var y=g[m],v=h.points[y];v.zoom>e&&(d+=v.numPoints||1)}if(d>=s){for(var x=u.x*p,_=u.y*p,b=o&&p>1?this._map(u,!0):null,w=(c<<5)+(e+1)+this.points.length,T=0,k=f;T<k.length;T+=1){var A=k[T],M=h.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,_+=M.y*S,M.parentId=w,o&&(b||(b=this._map(u,!0)),o(b,this._map(M)))}}u.parentId=w,r.push(q(x/d,_/d,w,d,b))}else if(r.push(u),d>1)for(var E=0,C=f;E<C.length;E+=1){var L=C[E],I=h.points[L];I.zoom<=e||(I.zoom=e,r.push(I))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=kt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=_t(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,y,v,x,_,b=.5*l.buffer/l.extent,w=.5-b,T=.5+b,k=1+b;m=g=y=v=null,x=lt(t,u,r-b,r+T,0,f.minX,f.maxX,l),_=lt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(m=lt(x,u,n-b,n+T,1,f.minY,f.maxY,l),g=lt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),_&&(y=lt(_,u,n-b,n+T,1,f.minY,f.maxY,l),v=lt(_,u,n+w,n+k,1,f.minY,f.maxY,l),_=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(v||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return vt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[kt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?vt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var c={};if(i){var u=i.finish();u&&(c.resourceTiming={},c.resourceTiming[n.source]=JSON.parse(JSON.stringify(u)))}r(null,c)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];h(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(v(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(v(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function v(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var _=function(){this.specification=t.styleSpec.light.position};_.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},_.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var b=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new _,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(b),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(f*f+m*m)}else p=n-Math.sqrt(f*f+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=l.isDash?f:-f;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(C),I=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),z=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(z),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(z),R={vector:E,raster:C,\"raster-dem\":L,geojson:I,video:O,image:z,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,i,a,s,F(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];h[m.featureIndex]||(h[m.featureIndex]=!0,f.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Ct=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Ct.Replace=[1,0],Ct.disabled=new Ct(Ct.Replace,t.Color.transparent,[!1,!1,!1,!1]),Ct.unblended=new Ct(Ct.Replace,t.Color.transparent,[!0,!0,!0,!0]),Ct.alphaBlended=new Ct([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Lt=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Lt.disabled=new Lt(!1,1029,2305),Lt.backCCW=new Lt(!0,1029,2305);var It=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new W(this),this.colorMask=new Y(this),this.depthMask=new X(this),this.stencilMask=new $(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ct(this),this.program=new ut(this),this.activeTexture=new ht(this),this.viewport=new ft(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new mt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new _t(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};It.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},It.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},It.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},It.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},It.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},It.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},It.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},It.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},It.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},It.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},It.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Ct.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},It.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var y in this._retainLoadedChildren(u,a,s,l),c)l[y]||(this._coveredTiles[y]=!0,l[y]=c[y])}for(var v in l)this._tiles[v].clearFadeHold();for(var x=0,_=t.keysDifference(this._tiles,l);x<_.length;x+=1){var b=_[x],w=this._tiles[b];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(b)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var v=d.children(this._source.maxzoom);if(n[v[0].key]&&n[v[1].key]&&n[v[2].key]&&n[v[3].key])continue}for(var x=m.wasRequested(),_=d.overscaledZ-1;_>=a;--_){var b=d.scaledTo(_);if(i[b.key])break;if(i[b.key]=!0,!(m=this.getTile(b))&&x&&(m=this._addTile(b)),m&&(n[b.key]=b,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var y=g[m];h=Math.min(h,y.x),f=Math.min(f,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var v=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,y=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var v=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:v,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)v(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function zt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function $t(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Wt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Xt),f=r.map(Xt),p=e.reduce($t,{}),d=r.reduce($t,{}),m=h.slice(),g=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:qt.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:qt.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var Kt=function(t,e){this.reset(t,e)};Kt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Kt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var v=d.get(y);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!g)fe(v.numGlyphs,f);else{g=!1;var x=[v.anchorX,v.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,h)){var _=x[3],b=ne(n.transform.cameraToCenterDistance,_),w=t.evaluateSizeForFeature(c,u,v),T=s?w/b:w*b,k=new t.Point(v.anchorX,v.anchorY),A=re(k,a).point,M={},S=le(v,T,!1,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(v,T,!0,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m).notEnoughRoom)&&fe(v.numGlyphs,f)}else fe(v.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function oe(t,e,r,n,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(h-1),g=ue(t*d,r,n,i,a,o,s.segment,f,p,l,c,u);if(!g)return null;var y=ue(t*m,r,n,i,a,o,s.segment,f,p,l,c,u);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=r/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,_=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=oe(g,l,y,v,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(ue(g*l.getoffsetX(M),y,v,n,h,f,e.segment,_,b,c,o,p));m.push(w.last)}else{if(i&&!n){var S=re(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=re(C,a),I=L.signedDistanceFromCamera>0?L.point:ce(f,C,S,1,a),P=se(e.writingMode,S,I,d);if(P)return P}var z=ue(g*l.getoffsetX(e.glyphStartIndex),y,v,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};m=[z]}for(var O=0,D=m;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function ce(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ue(e,r,n,i,a,o,s,l,c,u,h,f){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,v=a,x=0,_=0,b=Math.abs(p),w=[];x+_<=b;){if((g+=d)<l||g>=c)return null;if(v=y,w.push(y),void 0===(y=f[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=re(T,h);if(k.signedDistanceFromCamera>0)y=f[g]=k.point;else{var A=g-d;y=ce(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,v,b-x+1,h)}}x+=_,_=v.dist(y)}var M=(b-x)/_,S=y.sub(v),E=S.mult(M)._add(v);E._add(S._unit()._perp()._mult(n*d));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(E),{point:E,angle:C,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return a?o.filter(a):o}var f={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;y<v.length;y+=1){var x=v[y];if(!l.circle[x]){l.circle[x]=!0;var _=3*x;if(this._circleAndRectCollide(g[_],g[_+1],g[_+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var b=g[_],w=g[_+1],T=g[_+2];a.push({key:this.circleKeys[x],x1:b-T,y1:w-T,x2:b+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[m+0],h[m+1],h[m+2],h[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,v=0,x=g;v<x.length;v+=1){var _=x[v];if(!c.circle[_]){c.circle[_]=!0;var b=3*_;if(this._circlesCollide(y[b],y[b+1],y[b+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[_])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var he=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function fe(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(he,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,me=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}me.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},me.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=re(m,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),v=(u?a/y:a*y)/t.ONE_EM,x=re(m,s).point,_=oe(v,i,r.lineOffsetX*v,r.lineOffsetY*v,!1,x,m,r,n,s,{}),b=!1,w=!1,T=!0;if(_){for(var k=.5*f*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Kt,E=_.first,C=_.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return re(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Z=G.x+de,W=G.y+de;d.push(Z,W,k,0);var Y=Z-k,X=W-k,$=Z+k,J=W+k;if(T=T&&this.isOffscreen(Y,X,$,J),w=w||this.isInsideGrid(Y,X,$,J),!e&&this.grid.hitTestCircle(Z,W,k,h)&&(b=!0,!c))return{circles:[],offscreen:!1,collisionDetected:b}}}}return{circles:!c&&b||!w?[]:d,offscreen:T,collisionDetected:b}},me.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+de,c.y+de);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]={}),!h[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,y)&&(h[g.bucketInstanceId][g.featureIndex]=!0,void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]=[]),f[g.bucketInstanceId].push(g.featureIndex))}}return f},me.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},me.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},me.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},me.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},me.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ve=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};ve.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},_e=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},be=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new me(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),m=te(h,f,p,this.transform,d),g=null;if(f){var y=ee(h,f,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new be(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var v={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,_=a.sortKeyRanges;x<_.length;x+=1){var b=_[x],w=b.sortKey,T=b.symbolInstanceStart,k=b.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:v})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:v})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=[h.textOffset0,h.textOffset1],y=Te(t,r,n,g,i),v=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return v.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:y,placedGlyphBoxes:v}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),_=\"map\"===s.get(\"text-rotation-alignment\"),b=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=v&&(x||!o.hasIconData()||y),A=x&&(v||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=v?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,_,b,h,l,m,y,e,o,n,u);if(k&&(f=k.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=k.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=C&&C.box&&C.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,v,h,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Y=e.collisionCircleDiameter;I=i.collisionIndex.placeCollisionCircles(v,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,c,u,n,b,m.predicate,Y,W),T=v||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,_,b,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,h,l,m.predicate)};M=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var $=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if($||J?J?$||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(L&&L.box&&O?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new _e);for(var tt=0;tt<I.circles.length;tt+=4)Q.circles.push(I.circles[tt+0]),Q.circles.push(I.circles[tt+1]),Q.circles.push(I.circles[tt+2]),Q.circles.push(I.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)M(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ve(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ve(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var h=i[u];if(!this.opacities[u]){var f=new ve(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ve(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),h=\"map\"===a.get(\"text-pitch-alignment\"),f=\"none\"!==a.get(\"icon-text-fit\"),p=new ve(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],y=i.opacities[m];g?y=o:y||(y=p,i.opacities[m]=y),r[m]=!0;var v=s>0||l>0,x=a.numIconVertices>0,_=i.placedOrientations[a.crossTileID],b=_===t.WritingMode.vertical,w=_===t.WritingMode.horizontal||_===t.WritingMode.horizontalOnly;if(v){var T=Oe(y.text),k=b?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||b?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,_);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var C=Oe(y.icon),L=!(f&&a.verticalPlacedIconSymbolIndex&&b);if(a.placedIconSymbolIndex>=0){var I=L?C:De;d(e.icon,a.numIconVertices,I),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=L?De:C;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var z=e.collisionArrays[n];if(z){var O=new t.Point(0,0);if(z.textBox||z.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(O=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&O._rotate(h?i.transform.angle:-i.transform.angle)):D=!1}z.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||b,O.x,O.y),z.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,O.x,O.y)}var F=Boolean(!w&&z.verticalIconBox);z.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,f?O.x:0,f?O.y:0),z.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,f?O.x:0,f?O.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Ce=Math.pow(2,17),Le=Math.pow(2,16),Ie=Math.pow(2,9),Pe=Math.pow(2,8),ze=Math.pow(2,1);function Oe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Ce+e*Le+r*Ie+e*Pe+r*ze+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:v,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var c in this.sourceCaches){var u=this.sourceCaches[c];l[c]=u.used,u.used=!1}for(var h=0,f=this._order;h<f.length;h+=1){var p=f[h],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var m in l){var g=this.sourceCaches[m];l[m]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:m}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];i.push(f)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var v=0,x=t;v<x.length;v+=1){var _=x[v][m];if(_)for(var b=0,w=_;b<w.length;b+=1){var T=w[b];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(B(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1){var f=h[u];c.push(o[f])}c.sort(N);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1){var f=h[u];o.push(f)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];if(\"symbol\"===f.type){if(!l[f.source]){var p=this.sourceCaches[f.source];l[f.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var y=g[m],v=this._layers[y];\"symbol\"===v.type&&this.placement.updateLayerOpacities(v,l[v.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ye=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=br(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),$e=br(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=br(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ke=br(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=br(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=br(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=br(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=br(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=br(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=br(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=br(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=br(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=br(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=br(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),cr=br(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),ur=br(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),hr=br(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),fr=br(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=br(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=br(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),mr=br(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=br(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=br(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),vr=br(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=br(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),_r=br(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function br(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:$e,backgroundPattern:Je,circle:Ke,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:cr,fillExtrusionPattern:ur,hillshadePrepare:hr,hillshade:fr,line:pr,lineGradient:dr,linePattern:mr,lineSDF:gr,raster:yr,symbolIcon:vr,symbolSDF:xr,symbolTextAndIcon:_r}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],c=s.concat(l),u=r.staticUniforms?kr(r.staticUniforms):[],h=n?n.getBinderUniforms():[],f=[],p=0,d=u.concat(h);p<d.length;p+=1){var m=d[p];f.indexOf(m)<0&&f.push(m)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Xe.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(Xe.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var _=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(_,v),o.compileShader(_),o.attachShader(this.program,_),this.attributes={};var b={};this.numAttributes=c.length;for(var w=0;w<this.numAttributes;w++)c[w]&&(o.bindAttribLocation(this.program,w,c[w]),this.attributes[c[w]]=w);o.linkProgram(this.program),o.deleteShader(_),o.deleteShader(x);for(var T=0;T<f.length;T++){var k=f[T];if(k&&!b[k]){var A=o.getUniformLocation(this.program,k);A&&(b[k]=A)}}this.fixedUniforms=i(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],_=0,b=u.get();_<b.length;_+=1){var w=b[_],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Cr=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Cr(e),Mr(n,r,i))},Ir=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},zr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Or=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Wr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Zr(r,a);return{u_matrix:Wr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),h=s.getDash(i.to,c),f=u.width*a.fromScale,p=h.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:a.t})};function Zr(t,e){return 1/ge(t,1,e.tileZoom)}function Wr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Xr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Xr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var $r,Jr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Qr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),y=g.getBucket(n);if(y){var v=m.posMatrix;0===a[0]&&0===a[1]||(v=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,_=y.collisionCircleArray;if(_.length>0){var b=t.create(),w=v;t.mul(b,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(b,b,y.placementViewportMatrix),h.push({circleArray:_,circleOffset:p,transform:w,invTransform:b}),p=f+=_.length/4}x&&u.draw(l,c.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Or(v,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var A=0,M=0,S=h;M<S.length;M+=1)for(var E=S[M],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(A++,I,P,z,O,0),k.emplace(A++,I,P,z,O,1),k.emplace(A++,I,P,z,O,2),k.emplace(A++,I,P,z,O,3)}(!$r||$r.length<2*f)&&($r=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(f));for(var D=l.createIndexBuffer($r,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function sn(e,r,n,i,a,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<f.length;g++){var y=f.get(g),v=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||v?null:i[y.crossTileID];if(x){var _=new t.Point(y.anchorX,y.anchorY),b=re(_,n?l:s),w=ne(o.cameraToCenterDistance,b.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(_.add(M),s).point:b.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,C=0;C<y.numGlyphs;C++)t.addDynamicAttributes(p,S,E);h&&y.associatedIconIndex>=0&&(m[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else fe(y.numGlyphs,p)}if(h){d.clear();for(var L=e.icon.placedSymbolArray,I=0;I<L.length;I++){var P=L.get(I);if(P.hidden)fe(P.numGlyphs,d);else{var z=m[I];if(z)for(var O=0;O<P.numGlyphs;O++)t.addDynamicAttributes(d,z.shiftedAnchor,z.angle);else fe(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function cn(e,r,n,i,a,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,y=\"map\"===c,v=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!v,_=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),b=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),C=E.getBucket(n);if(C){var L=a?C.text:C.icon;if(L&&L.segments.get().length){var I=L.programConfigurations.get(n.id),P=a||C.sdfIcons,z=a?C.textSizeData:C.iconSizeData,O=y||0!==m.pitch,D=e.useProgram(ln(P,a,C),I),R=t.evaluateSizeForZoom(z,m.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,C.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===z.kind||\"camera\"===z.kind;V=O||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||C.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),Z=te(S.posMatrix,y,g,e.transform,G),W=ee(S.posMatrix,y,g,e.transform,G),Y=T&&C.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&C.hasIconData();v&&ae(C,S.posMatrix,e,a,Z,W,y,u);var $=e.translatePosMatrix(S.posMatrix,E,o,s),J=v||a&&T||X?an:Z,K=e.translatePosMatrix(W,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:L,uniformValues:P?C.iconsInText?Qr(z.kind,R,x,y,e,$,J,K,F,B):Kr(z.kind,R,x,y,e,$,J,K,a,F,!0):Jr(z.kind,R,x,y,e,$,J,K,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(_&&C.canOverlap){b=!0;for(var et=0,rt=L.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:L.segments,sortKey:0,state:tt})}}}b&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,un(st.buffers,ot.segments,n,e,st.program,w,h,f,lt)),lt.u_is_halo=0}un(st.buffers,ot.segments,n,e,st.program,w,h,f,st.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Lt.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function hn(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var v=y[g],x=e.getTile(v);if(!d||x.patternsLoaded()){var _=x.getBucket(r);if(_){var b=_.programConfigurations.get(r.id),w=t.useProgram(l,b);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),b.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&b.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(v.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=_.indexBuffer2,h=_.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Pr(S,t,m,x,E):Ir(S,E)}else u=_.indexBuffer,h=_.segments,c=d?Lr(S,t,m,x):Cr(S);w.draw(t.context,s,i,t.stencilModeForClipping(v),a,Lt.disabled,c,r.id,_.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,b)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),y=g.getBucket(r);if(y){var v=y.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",v);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),v.updatePaintBuffers(h));var _=c.constantOr(null);if(_&&g.imageAtlas){var b=g.imageAtlas,w=b.patternPositions[_.to.toString()],T=b.patternPositions[_.from.toString()];w&&T&&v.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?Er(k,t,A,f,m,h,g):Sr(k,t,A,f);x.draw(s,s.gl.TRIANGLES,i,a,o,Lt.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,v)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=jr(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Lt.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.dem;if(c&&c.data){var u=c.dim,h=c.stride,f=c.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,f,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var m=new t.Texture(s,{width:u,height:u,data:null},l.RGBA);m.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(u,u,!0)).colorAttachment.set(m.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Lt.disabled,Ur(r.tileID,c),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function mn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),vn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),_n=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,vn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,_n)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=Et.disabled,u=e.colorModeForRenderPass(),h=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Rr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),m=r.getTile(n).tileSize,g=512/Math.min(m,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,c,Ct.alphaBlended,Lt.disabled,Rr(o,t.Color.transparent,g),h,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),v=ge(d,1,r.transform.zoom),x=te(p.posMatrix,u,c,r.transform,v),_=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(y){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,b,y,_)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&cn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&cn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=Et.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],y=r.getTile(g),v=y.getBucket(n);if(v){var x=v.programConfigurations.get(n.id),_={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:v.layoutVertexBuffer,indexBuffer:v.indexBuffer,uniformValues:zr(e,g,y,n)};if(l)for(var b=0,w=v.segments.get();b<w.length;b+=1){var T=w[b];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:_})}else d.push({segments:v.segments,sortKey:0,state:_})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,C=S.program,L=S.layoutVertexBuffer,I=S.indexBuffer,P=S.uniformValues,z=M.segments;C.draw(c,u.TRIANGLES,h,f,p,Lt.disabled,P,n.id,L,I,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Ct([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Lt.disabled,Br(u.posMatrix,h,m,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=e.context,g=m.gl,y=!0,v=0,x=i;v<x.length;v+=1){var _=x[v],b=r.getTile(_);if(!h||b.patternsLoaded()){var w=b.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=u.constantOr(null);if(S&&b.imageAtlas){var E=b.imageAtlas,C=E.patternPositions[S.to.toString()],L=E.patternPositions[S.from.toString()];C&&L&&T.setConstantPatternPositions(C,L)}var I=h?Hr(e,b,n,p):c?Gr(e,b,n,c,p):f?qr(e,b,n,w.lineClipsArray.length):Vr(e,b,n);if(h)m.activeTexture.set(g.TEXTURE0),b.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(c&&(M||e.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m);else if(f){var P=w.gradients[n.id],z=P.texture;if(n.gradientVersion!==P.version){var O=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=_.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-_.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;O=t.clamp(t.nextPowerOfTwo(F),256,m.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:O,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(m,P.gradient,g.RGBA),P.version=n.gradientVersion,z=P.texture}m.activeTexture.set(g.TEXTURE0),z.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Lt.disabled,I,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);hn(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);hn(e,r,n,i,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Ct.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],c=0,u=s[1];c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,f,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,f,r,a,l[h.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof z?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,m=h;d<m.length;d+=1){var g=m[d],y=t.depthModeForSublayer(g.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),v=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var _=e.findLoadedParent(g,0),b=mn(v,_,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),_?(_.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,_.tileID.overscaledZ-v.tileID.overscaledZ),T=[v.tileID.canonical.x*w%1,v.tileID.canonical.y*w%1]):v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,b,r);o instanceof z?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Lt.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,u[g.overscaledZ],l,Lt.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=Et.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,v=m;y<v.length;y+=1){var x=v[y],_=t.transform.calculatePosMatrix(x.toUnwrapped()),b=c?en(_,i,t,c,{tileID:x,tileSize:l},g):tn(_,i,n);d.draw(a,o.TRIANGLES,f,h,p,Lt.disabled,b,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new It(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ye.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ye.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ye.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Ct.disabled,Lt.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ct.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Ct.disabled,Lt.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Ct([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ct.unblended:Ct.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var y=0,v=i;y<v.length;y+=1){var x=v[y],_=this.style._layers[x];if(_.hasOffscreenPass()&&!_.isHidden(this.transform.zoom)){var b=h[_.source];(\"custom\"===_.type||b.length)&&this.renderLayer(this,a[_.source],_,b)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?f:h)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Cn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Cn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Cn(n,i)},Cn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Cn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Cn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var In=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};In.prototype.clone=function(){var t=new In(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},In.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},In.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},In.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},In.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},In.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Cn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var x=m.aabb.intersects(s);if(0===x)continue;v=2===x}var _=m.aabb.distanceX(o),b=m.aabb.distanceY(o),w=Math.max(Math.abs(_),Math.abs(b)),T=3+(1<<f-m.zoom)-2;if(m.zoom===f||w>T&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===f?p:m.zoom,m.wrap,m.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:v})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},In.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},In.prototype.zoomScale=function(t){return Math.pow(2,t)},In.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},In.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},In.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},In.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},In.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},In.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},In.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},In.prototype.coordinateLocation=function(t){return t.toLngLat()},In.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,h=n[2]/a,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},In.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},In.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},In.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},In.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},In.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},In.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},In.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,v=c.x/2;y-v<s&&(n=s+v),y+v>l&&(n=l-v)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},In.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,h=new Float64Array(16);t.perspective(h,this._fov,this.width/this.height,u,c),h[8]=2*-r.x/this.width,h[9]=2*r.y/this.height,t.scale(h,h,[1,-1,1]),t.translate(h,h,[0,0,-this.cameraToCenterDistance]),t.rotateX(h,h,this._pitch),t.rotateZ(h,h,this.angle),t.translate(h,h,[-s,-l,0]),this.mercatorMatrix=t.scale([],h,[this.worldSize,this.worldSize,this.worldSize]),t.scale(h,h,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=h,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*f+m*p,y=l-Math.round(l)+d*p+m*f,v=new Float64Array(h);if(t.translate(v,v,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=v,h=t.create(),t.scale(h,h,[this.width/2,-this.height/2,1]),t.translate(h,h,[1,-1,0]),this.labelPlaneMatrix=h,h=t.create(),t.scale(h,h,[1,-1,1]),t.translate(h,h,[-1,-1,0]),t.scale(h,h,[2/this.width,2/this.height,1]),this.glCoordMatrix=h,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(h=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=h,this._posMatrixCache={},this._alignedPosMatrixCache={}}},In.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},In.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},In.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(In.prototype,Pn);var zn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};zn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},zn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},zn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},zn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},zn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},zn.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var On={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},On),Rn=t.extend({deceleration:20,maxSpeed:1400},On),Fn=t.extend({deceleration:1e3,maxSpeed:360},On),Bn=t.extend({deceleration:1e3,maxSpeed:90},On),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var c=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+c.amount,jn(s,c)}if(r.bearing){var u=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),jn(s,u)}if(r.pitch){var h=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+h.amount,jn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t){this._map=t};Zn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Zn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Zn.prototype.mousedown=function(){this._delayContextMenu=!0},Zn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Zn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Zn.prototype.isEnabled=function(){return!0},Zn.prototype.isActive=function(){return!1},Zn.prototype.enable=function(){},Zn.prototype.disable=function(){};var Wn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Wn.prototype.isEnabled=function(){return!!this._enabled},Wn.prototype.isActive=function(){return!!this._active},Wn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Wn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Wn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Wn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Wn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Wn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Wn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Wn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Xn=function(t){this.reset(),this.numTouches=t.numTouches};Xn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Xn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Xn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Xn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var $n=function(t){this.singleTap=new Xn(t),this.numTaps=t.numTaps,this.reset()};$n.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},$n.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},$n.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},$n.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new $n({numTouches:1,numTaps:2}),this._zoomOut=new $n({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn={};Kn[0]=1,Kn[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=Kn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:h}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ui(t){return Math.abs(t.y)>Math.abs(t.x)}var hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}},e}(ii),fi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=fi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var mi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%mi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var vi=function(){this.reset()};vi.prototype.reset=function(){this._active=!1},vi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new $n({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var _i=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};_i.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},_i.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},_i.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},_i.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var bi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};bi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},bi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},bi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},bi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Wn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new vi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new hi;this._add(\"touchPitch\",s);var l=new ei(t),c=new ri(t);e.dragRotate=new bi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new ti(t),h=new ni(t);e.dragPan=new _i(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new ci,p=new si;e.touchZoomRotate=new wi(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new pi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new Zn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var v=y[g];t.interactive&&t[v]&&e[v].enable(t[v])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,f,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[f]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var v=i.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],v(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var c=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=c),this._eventsInProgress[l]=e[l]}for(var u in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(u,s[u]);for(var h in o&&this._fireEvent(\"move\",o.originalEvent),e){var f=e[h].originalEvent;this._fireEvent(h,f)}var p,d={};for(var m in this._eventsInProgress){var g=this._eventsInProgress[m],y=g.handlerName,v=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[m],p=r[y]||v,d[m+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var _=Ti(this._eventsInProgress);if(n&&(a||o)&&!_){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};b?(w(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(y<0||g<0)){var v=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),_=(i.padding.left-i.padding.right)/2,b=(i.padding.top-i.padding.bottom)/2,w=new t.Point(_,b).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(v));return{center:s.unproject(c.add(u).div(2).sub(T)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var y,v,x=i.project(m),_=i.project(g).sub(x),b=i.zoomScale(c-a);e.around&&(y=t.LngLat.convert(e.around),v=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,h,e)),n._padding&&(i.interpolatePadding(l,f,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,v);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,b):Math.max(.5,b),w=Math.pow(g,1-e),T=i.unproject(x.add(_.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var x=a.project(y),_=a.project(v).sub(x),b=e.curve,w=Math.max(a.width,a.height),T=w/d,k=_.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);b=Math.sqrt(M/k*2)}var S=b*b;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+b*t)},z=function(t){return w*((L(I)*(C(e=I+b*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/b;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/b,z=function(){return 0},P=function(t){return Math.exp(D*b*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/b:+e.speed;e.duration=1e3*O/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(x.add(_.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Ci=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Ci.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Ci.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Ci.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ci.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Ci.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Ci.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Li=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Li.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Li.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Li.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Li.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ii={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,zi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new In(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Li,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ii,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof zi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new zn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Ci,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Oi&&r instanceof Oi){var c=t.browser.getImageData(r),u=c.width,h=c.height,f=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},f),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Zi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),v.appendChild(x),v.appendChild(_),s.appendChild(l),s.appendChild(p),s.appendChild(m),s.appendChild(y),s.appendChild(v),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Wi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Yi=0,Xi=!1,$i=function(e){function n(r){e.call(this),this.options=t.extend({},Wi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Yi=0,Xi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Xi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Zi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Yi--,Xi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Yi>1?(e={maximumAge:6e5,timeout:0},Xi=!0):(e=this.options.positionOptions,Xi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},Ki=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ki.prototype._onMove=function(){Qi(this._map,this._container,this.options)},Ki.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ki.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:$i,AttributionControl:Ei,ScaleControl:Ki,FullscreenControl:ea,Popup:ia,Marker:Zi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},27549:function(t,e,r){\"use strict\";t.exports=r(55366)},55366:function(t,e,r){\"use strict\";var n=r(31625),i=r(75144),a=r(5137),o=r(78112),s=r(6807),l=r(68650),c=r(83473),u=r(60201),h=r(10275),f=r(62914);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},74024:function(t,e,r){\"use strict\";var n=r(59518),i=r(6807),a=r(81330),o=r(38862),s=r(93103),l=r(162),c=r(68950),u=r(66127),h=r(5137),f=r(29388),p=r(4957),d=r(44626),m=r(44431),g=r(27976),y=r(12673),v=r(83473),x=r(54689).nextPow2,_=new s,b=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(b=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=_.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),_.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=v(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,c=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),c&&(t.variant=c)}var u=n.stringify({size:T.baseFontSize,family:t.family,stretch:b?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),h=p(t.size),f=Math.round(h[0]*d(h[1]));if(f!==e.fontSize[r]&&(o=!0,e.fontSize[r]=f),!(e.font[r]&&u==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[u],e.font[r]))){var m=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),b&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:u,family:m,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(m,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[u]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:b?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var _=1;_<t.text.length;_++)this.textOffsets[_]=this.textOffsets[_-1]+t.text[_-1].length,this.count+=t.text[_].length,this.counts.push(t.text[_].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var C=0;C<S;C++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var 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n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Z(W,W+4),\"uint8\"),W)}else{var Y=t.color.length;H=u.mallocUint8(4*Y);for(var X=0;X<Y;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var $=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array($);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},38862:function(t,e,r){\"use strict\";var n=r(6807);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function h(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(f(t.children[r]))}function f(t){for(var e=0;e<t.children.length;e++)h(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)h(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};t.exports=e},26202:function(t,e,r){var n=r(48916);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,c=n.other.pt,(0!==(u=e.pointsCompare(a,l))?u:e.pointsSame(o,c)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:c,s?c:l)?1:-1)<0;var i,a,o,s,l,c,u}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(f)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 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y,v,x=g();if(x)t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=f.seg.myFill,r&&r.segmentUpdate(x.seg),f.other.remove(),f.remove();if(a.getHead()!==f){r&&r.rewind(f.seg);continue}t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below,f.seg.myFill.below=m?m.seg.myFill.above:i,f.seg.myFill.above=v?!f.seg.myFill.below:f.seg.myFill.below):null===f.seg.otherFill&&(y=m?f.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:f.primary?o:i,f.seg.otherFill={above:y,below:y}),r&&r.status(f.seg,!!d&&d.seg,!!m&&m.seg),f.other.status=p.insert(n.node({ev:f}))}else{var _=f.status;if(null===_)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(_.prev)&&s.exists(_.next)&&u(_.prev.ev,_.next.ev),r&&r.statusRemove(_.ev.seg),_.remove(),!f.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},17527:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},3944:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),c=this.read_uint32(n+4),u=this.exif_format_length(l),h=c*u,f=h<=4?n+8:this.read_uint32(n+8),p=!1;if(f+h>this.input.length)throw 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(_.groups=x=t.map((function(t,c){var u=x[c];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},v,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=h(e.scale),e.translateFract=h(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),u):u})),e||r){var f=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*f),b=new Uint8Array(4*f),w=new Float32Array(4*f);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(b.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=h(g,T);p(k),d(b),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var f=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},49478:function(t,e,r){\"use strict\";var n=r(162),i=r(78112),a=r(27976),o=r(6807),s=r(83473),l=r(25782),c=r(90956),u=r(51498),h=u.float32,f=u.fract32,p=r(93103),d=r(5137),m=r(33055);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\",frag:\"\\nprecision highp float;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\",uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},g.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},g.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},g.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>g.precisionThreshold||e.scale[1]*e.viewport.height>g.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=g.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},g.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,u=this.gl;if(t.forEach((function(t,p){var y=e.passes[p];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),y||(e.passes[p]=y={id:p,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=a({},g.defaults,t)),null!=t.thickness&&(y.thickness=parseFloat(t.thickness)),null!=t.opacity&&(y.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(y.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(y.overlay=!!t.overlay,p<g.maxLines&&(y.depth=2*(g.maxLines-1-p%g.maxLines)/g.maxLines-1)),null!=t.join&&(y.join=t.join),null!=t.hole&&(y.hole=t.hole),null!=t.fill&&(y.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(y.viewport=d(t.viewport)),y.viewport||(y.viewport=d([u.drawingBufferWidth,u.drawingBufferHeight])),null!=t.close&&(y.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,x;if(t.positions.x&&t.positions.y){var _=t.positions.x,b=t.positions.y;x=y.count=Math.max(_.length,b.length),v=new Float64Array(2*x);for(var w=0;w<x;w++)v[2*w]=_[w],v[2*w+1]=b[w]}else v=s(t.positions,\"float64\"),x=y.count=Math.floor(v.length/2);var T=y.bounds=i(v,2);if(y.fill){for(var k=[],A={},M=0,S=0,E=0,C=y.count;S<C;S++){var L=v[2*S],I=v[2*S+1];isNaN(L)||isNaN(I)||null==L||null==I?(L=v[2*M],I=v[2*M+1],A[S]=M):M=S,k[E++]=L,k[E++]=I}if(t.splitNull){y.count-1 in A||(A[y.count]=y.count-1);var P=Object.keys(A).map(Number).sort((function(t,e){return t-e})),z=[],O=0,D=null!=y.hole?y.hole[0]:null;if(null!=D){var R=m(P,(function(t){return t>=D}));(P=P.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*O,2*P[t]).concat(D?k.slice(2*D):[]),r=(y.hole||[]).map((function(e){return e-D+(P[t]-O)})),n=l(e,r);n=n.map((function(e){return e+O+(e+O<P[t]?0:D-P[t])})),z.push.apply(z,n),O=P[t]+1},B=0;B<P.length;B++)F(B);for(var N=0,j=z.length;N<j;N++)null!=A[z[N]]&&(z[N]=A[z[N]]);y.triangles=z}else{for(var U=l(k,y.hole||[]),V=0,q=U.length;V<q;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);y.triangles=U}}var H=new Float64Array(v);c(H,2,T);var G=new Float64Array(2*x+6);y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],y.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]);var Z=h(G);y.positionBuffer(Z);var W=f(G,Z);y.positionFractBuffer(W)}if(t.range?y.range=t.range:y.range||(y.range=y.bounds),(t.range||t.positions)&&y.count){var Y=y.bounds,X=Y[2]-Y[0],$=Y[3]-Y[1],J=y.range[2]-y.range[0],K=y.range[3]-y.range[1];y.scale=[X/J,$/K],y.translate=[-y.range[0]/J+Y[0]/J||0,-y.range[1]/K+Y[1]/K||0],y.scaleFract=f(y.scale),y.translateFract=f(y.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*g.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ht=0;ht<lt;ht++){var ft=n(ct[ht],\"uint8\");ut.set(ft,4*ht)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&v.push(this.passes[x]);return this.passes=v,this}},g.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},62172:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,c=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){c=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(c)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(162),s=r(78112),l=r(46762),c=r(27549),u=r(27976),h=r(76765),f=r(6807),p=r(79788),d=r(83473),m=r(39488),g=r(51498),y=r(5137),v=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),u(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=u({},o);s.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=u({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;if(this.regl,!a)return r?[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var y=f.length;y--;){var v=n(f[y],2),x=v[0],_=v[1];h.push(u({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:_-x}))}return h},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,h=this.maxColors,m=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=f(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=u({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var v=0,_=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),v+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),v+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),_++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),_++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=c(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var h={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](h):i[u]=o.buffer(h),i[u].data=a[u]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),v){var b=n,w=b.count,T=b.size,k=b.borderSize,A=b.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(_){var E,C=n,L=C.count,I=C.color,P=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(I.length||P.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=I[O];E[8*O]=m[4*D],E[8*O+1]=m[4*D+1],E[8*O+2]=m[4*D+2],E[8*O+3]=m[4*D+3];var R=P[O];E[8*O+4]=m[4*R],E[8*O+5]=m[4*R+1],E[8*O+6]=m[4*R+2],E[8*O+7]=m[4*R+3]}}}else if(I.length||P.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=I[F]&&(E[4*F]=I[F]%h,E[4*F+1]=Math.floor(I[F]/h)),null!=P[F]&&(E[4*F+2]=P[F]%h,E[4*F+3]=Math.floor(P[F]/h))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var c=0;c<t.length;c+=4)a.push(t.subarray(c,c+4));t=a}for(var u=0;u<t.length;u++){var h=t[u];h=o(h,\"uint8\");var f=l(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}i[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=r(27976);t.exports=function(t,e){var r=new v(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},31239:function(t,e,r){\"use strict\";var n=r(62172),i=r(6807),a=r(78112),o=r(16494),s=r(27902),l=r(5137),c=r(83473);function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,y=s.viewport.width,v=s.viewport.height,x=s.viewport.x,_=s.viewport.y,b=y/m,w=v/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=h(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=f(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?f(s.padding,T,k):s.padding;if(s.domain){var E=f(s.domain,T,k),C=E[0],L=E[1],I=E[2],P=E[3];M.viewport=[x+C*y+S[0],_+L*v+S[1],x+I*y-S[2],_+P*v-S[3]]}else M.viewport=[x+k*b+b*S[0],_+T*w+w*S[1],x+(k+1)*b-b*S[2],_+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?f(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],h=u.passes,f=u.passOffset;h=h.map((function(t,e){n[f+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),h[t-h[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=f[o-f[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var h=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(h/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=h[t-h[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a={}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=h[o.year-h[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++)s+=u&1<<12-d?30:29;var m=f[o.year-f[0]],g=new Date(m>>9&4095,(m>>5&15)-1,(31&m)+s);return a.year=g.getFullYear(),a.month=1+g.getMonth(),a.day=g.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a={}}var o=f[i.year-f[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=f[a.year-f[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=h[a.year-h[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l<m)break;l-=m}var g=d>>13;return!g||p<g?(a.isIntercalary=!1,a.month=1+p):p===g?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p),a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if(\"y\"===r){var c=l.year(),u=l.month(),h=this.isIntercalaryMonth(c,s),f=a&&h?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);f!==u&&l.month(f)}return l}});var s=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,l=/^\\d?\\d[iI]?/m,c=/^闰?十?[一二三四五六七八九]?月/m,u=/^闰?十?[一二三四五六七八九]?/m;n.calendars.chinese=o;var 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n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},28569:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},81133:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},78295:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},25512:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-khamīs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},42645:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},62324:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},91662:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},66445:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},41858:function(t,e,r){var n=r(24453),i=r(27976),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},57985:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=r(27976);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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t=ae(e);if(r){if(r===t)continue;r=dt;break}r=t}return _t(r||dt,e)}return pt}function oe(t){const e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Xt||t instanceof Kt||t instanceof Qt||t instanceof ee||t instanceof re?t.toString():JSON.stringify(t)}class se{constructor(t,e){this.type=t,this.value=e}static parse(t,e){if(2!==t.length)return e.error(`'literal' expression requires exactly one argument, but found ${t.length-1} instead.`);if(!ie(t[1]))return e.error(\"invalid value\");const r=t[1];let n=ae(r);const i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new se(n,r)}evaluate(){return this.value}eachChild(){}outputDefined(){return!0}}class le{constructor(t){this.name=\"ExpressionEvaluationError\",this.message=t}toJSON(){return this.message}}const ce={string:ut,number:ct,boolean:ht,object:pt};class ue{constructor(t,e){this.type=t,this.args=e}static 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st,a=[]){this.registry=t,this.path=r,this.key=r.map((t=>`[${t}]`)).join(\"\"),this.scope=i,this.errors=a,this.expectedType=n,this._isConstant=e}parse(t,e,r,n,i={}){return e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)}_parse(t,e){function r(t,e,r){return\"assert\"===r?new ue(e,[t]):\"coerce\"===r?new fe(e,[t]):t}if(null!==t&&\"string\"!=typeof t&&\"boolean\"!=typeof t&&\"number\"!=typeof t||(t=[\"literal\",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. 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be{constructor(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a}static parse(t,e){if(t.length<5)return e.error(`Expected at least 4 arguments, but found only ${t.length-1}.`);if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");let r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);const i={},a=[];for(let o=2;o<t.length-1;o+=2){let s=t[o];const l=t[o+1];Array.isArray(s)||(s=[s]);const c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(const t of s){if(\"number\"!=typeof t&&\"string\"!=typeof t)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof t&&Math.abs(t)>Number.MAX_SAFE_INTEGER)return c.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(\"number\"==typeof t&&Math.floor(t)!==t)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(t)))return null}else r=ae(t);if(void 0!==i[String(t)])return c.error(\"Branch labels must be unique.\");i[String(t)]=a.length}const u=e.parse(l,o,n);if(!u)return null;n=n||u.type,a.push(u)}const o=e.parse(t[1],1,dt);if(!o)return null;const s=e.parse(t[t.length-1],t.length-1,n);return s?\"value\"!==o.type.kind&&e.concat(1).checkSubtype(r,o.type)?null:new be(r,n,o,i,a,s):null}evaluate(t){const e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)}eachChild(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)}outputDefined(){return this.outputs.every((t=>t.outputDefined()))&&this.otherwise.outputDefined()}}class we{constructor(t,e,r){this.type=t,this.branches=e,this.otherwise=r}static parse(t,e){if(t.length<4)return e.error(`Expected at least 3 arguments, but found only ${t.length-1}.`);if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");let 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Qt(Ie(t.values,e.values,r))},variableAnchorOffsetCollection:function(t,e,r){const n=t.values,i=e.values;if(n.length!==i.length)throw new le(`Cannot interpolate values of different length. from: ${t.toString()}, to: ${e.toString()}`);const a=[];for(let t=0;t<n.length;t+=2){if(n[t]!==i[t])throw new le(`Cannot interpolate values containing mismatched anchors. from[${t}]: ${n[t]}, to[${t}]: ${i[t]}`);a.push(n[t]);const[e,o]=n[t+1],[s,l]=i[t+1];a.push([Le(e,s,r),Le(o,l,r)])}return new ee(a)}};class ze{constructor(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(const[t,e]of i)this.labels.push(t),this.outputs.push(e)}static interpolationFactor(t,e,r,n){let i=0;if(\"exponential\"===t.name)i=Oe(e,t.base,r,n);else if(\"linear\"===t.name)i=Oe(e,1,r,n);else if(\"cubic-bezier\"===t.name){const a=t.controlPoints;i=new Ce(a[0],a[1],a[2],a[3]).solve(Oe(e,1,r,n))}return i}static 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e.error(\"Expected one argument.\");const r=t[1];if(\"object\"!=typeof r||Array.isArray(r))return e.error(\"Collator options argument must be an object.\");const n=e.parse(void 0!==r[\"case-sensitive\"]&&r[\"case-sensitive\"],1,ht);if(!n)return null;const i=e.parse(void 0!==r[\"diacritic-sensitive\"]&&r[\"diacritic-sensitive\"],1,ht);if(!i)return null;let a=null;return r.locale&&(a=e.parse(r.locale,1,ut),!a)?null:new Ge(n,i,a)}evaluate(t){return new $t(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)}eachChild(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)}outputDefined(){return!1}}class Ze{constructor(t,e,r,n,i){this.type=ut,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i}static parse(t,e){if(3!==t.length)return e.error(\"Expected two arguments.\");const r=e.parse(t[1],1,ct);if(!r)return null;const n=t[2];if(\"object\"!=typeof n||Array.isArray(n))return e.error(\"NumberFormat options argument must be an object.\");let i=null;if(n.locale&&(i=e.parse(n.locale,1,ut),!i))return null;let a=null;if(n.currency&&(a=e.parse(n.currency,1,ut),!a))return null;let o=null;if(n[\"min-fraction-digits\"]&&(o=e.parse(n[\"min-fraction-digits\"],1,ct),!o))return null;let s=null;return n[\"max-fraction-digits\"]&&(s=e.parse(n[\"max-fraction-digits\"],1,ct),!s)?null:new Ze(r,i,a,o,s)}evaluate(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))}eachChild(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)}outputDefined(){return!1}}class We{constructor(t){this.type=gt,this.sections=t}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");const r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");const n=[];let i=!1;for(let r=1;r<=t.length-1;++r){const a=t[r];if(i&&\"object\"==typeof a&&!Array.isArray(a)){i=!1;let t=null;if(a[\"font-scale\"]&&(t=e.parse(a[\"font-scale\"],1,ct),!t))return null;let r=null;if(a[\"text-font\"]&&(r=e.parse(a[\"text-font\"],1,_t(ut)),!r))return null;let o=null;if(a[\"text-color\"]&&(o=e.parse(a[\"text-color\"],1,ft),!o))return null;const s=n[n.length-1];s.scale=t,s.font=r,s.textColor=o}else{const a=e.parse(t[r],1,dt);if(!a)return null;const 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r=Math.pow(2,e.z),n=(t[0]/$e+e.x)/r,i=(t[1]/$e+e.y)/r;return[(o=n,360*o-180),(a=i,360/Math.PI*Math.atan(Math.exp((180-360*a)*Math.PI/180))-90)];var a,o}function Qe(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function tr(t,e){return!(t[0]<=e[0]||t[2]>=e[2]||t[1]<=e[1]||t[3]>=e[3])}function er(t,e,r){const n=t[0]-e[0],i=t[1]-e[1],a=t[0]-r[0],o=t[1]-r[1];return n*o-a*i==0&&n*a<=0&&i*o<=0}function rr(t,e,r,n){const i=[e[0]-t[0],e[1]-t[1]];return 0!=(a=[n[0]-r[0],n[1]-r[1]],o=i,a[0]*o[1]-a[1]*o[0])&&!(!lr(t,e,r,n)||!lr(r,n,t,e));var a,o}function nr(t,e,r){for(const n of r)for(let r=0;r<n.length-1;++r)if(rr(t,e,n[r],n[r+1]))return!0;return!1}function ir(t,e,r=!1){let n=!1;for(const s of e)for(let e=0;e<s.length-1;e++){if(er(t,s[e],s[e+1]))return r;i=t,a=s[e],o=s[e+1],a[1]>i[1]!=o[1]>i[1]&&i[0]<(o[0]-a[0])*(i[1]-a[1])/(o[1]-a[1])+a[0]&&(n=!n)}var i,a,o;return n}function ar(t,e){for(const r of e)if(ir(t,r))return!0;return!1}function 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Object.keys(this._values))if(this._values[t].prior)return!0;return!1}}class $i{constructor(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)}hasValue(t){return void 0!==this._values[t].value}getValue(t){return b(this._values[t].value)}setValue(t,e){this._values[t]=new Gi(this._values[t].property,null===e?void 0:b(e))}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r)}return t}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}}class Ji{constructor(t,e,r){this.property=t,this.value=e,this.parameters=r}isConstant(){return\"constant\"===this.value.kind}constantOr(t){return\"constant\"===this.value.kind?this.value.value:t}evaluate(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)}}class Ki{constructor(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)}get(t){return this._values[t]}}class Qi{constructor(t){this.specification=t}possiblyEvaluate(t,e){if(t.isDataDriven())throw new Error(\"Value should not be data driven\");return t.expression.evaluate(e)}interpolate(t,e,r){const n=this.specification.type,i=Pe[n];return i?i(t,e,r):t}}class ta{constructor(t,e){this.specification=t,this.overrides=e}possiblyEvaluate(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ji(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ji(this,t.expression,e)}interpolate(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ji(this,{kind:\"constant\",value:void 0},t.parameters);const n=this.specification.type,i=Pe[n];if(i){const n=i(t.value.value,e.value.value,r);return new Ji(this,{kind:\"constant\",value:n},t.parameters)}return t}evaluate(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)}}class ea extends ta{possiblyEvaluate(t,e,r,n){if(void 0===t.value)return new Ji(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ji(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){const r=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ji(this,{kind:\"constant\",value:r},e)}return new Ji(this,t.expression,e)}evaluate(t,e,r,n,i,a){if(\"source\"===t.kind){const o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class ra{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Hi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom+1),e)),e)}}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class na{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)}interpolate(){return!1}}class ia{constructor(t){this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(const e in t){const r=t[e];r.specification.overridable&&this.overridableProperties.push(e);const n=this.defaultPropertyValues[e]=new Gi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Zi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}}}Mi(\"DataDrivenProperty\",ta),Mi(\"DataConstantProperty\",Qi),Mi(\"CrossFadedDataDrivenProperty\",ea),Mi(\"CrossFadedProperty\",ra),Mi(\"ColorRampProperty\",na);const aa=\"-transition\";class oa extends G{constructor(t,e){if(super(),this.id=t.id,this.type=t.type,this._featureFilter={filter:()=>!0,needGeometry:!1},\"custom\"!==t.type&&(this.metadata=t.metadata,this.minzoom=t.minzoom,this.maxzoom=t.maxzoom,\"background\"!==t.type&&(this.source=t.source,this.sourceLayer=t[\"source-layer\"],this.filter=t.filter),e.layout&&(this._unevaluatedLayout=new $i(e.layout)),e.paint)){this._transitionablePaint=new Wi(e.paint);for(const e in t.paint)this.setPaintProperty(e,t.paint[e],{validate:!1});for(const e in t.layout)this.setLayoutProperty(e,t.layout[e],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ki(e.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)}setLayoutProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.layout.${t}`;if(this._validate(wi,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e}getPaintProperty(t){return t.endsWith(aa)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)}setPaintProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.paint.${t}`;if(this._validate(bi,n,t,e,r))return!1}if(t.endsWith(aa))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;{const r=this._transitionablePaint._values[t],n=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],i=r.value.isDataDriven(),a=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);const o=this._transitionablePaint._values[t].value;return o.isDataDriven()||i||n||this._handleOverridablePaintPropertyUpdate(t,a,o)}}_handleSpecialPaintPropertyUpdate(t){}_handleOverridablePaintPropertyUpdate(t,e,r){return!1}isHidden(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility}updateTransitions(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)}serialize(){const t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,((t,e)=>!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)))}_validate(t,e,r,n,i={}){return(!i||!1!==i.validate)&&Ti(this,t.call(vi,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Z,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(const t in this.paint._values){const e=this.paint.get(t);if(e instanceof Ji&&hn(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1}}const sa={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class la{constructor(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class ca{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}}static deserialize(t){const e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(t){this.reserve(t),this.length=t}reserve(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);const e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function ua(t,e=1){let r=0,n=0;return{members:t.map((t=>{const i=(s=t.type,sa[s].BYTES_PER_ELEMENT),a=r=ha(r,Math.max(e,i)),o=t.components||1;var s;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ha(r,Math.max(n,e)),alignment:e}}function ha(t,e){return Math.ceil(t/e)*e}class fa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t}}fa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2i4\",fa);class pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t}}pa.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3i6\",pa);class da extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t}}da.prototype.bytesPerElement=8,Mi(\"StructArrayLayout4i8\",da);class ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}ma.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i4i12\",ma);class ga extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t}}ga.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2i4ub8\",ga);class ya extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t}}ya.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2f8\",ya);class va extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c){const u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)}emplace(t,e,r,n,i,a,o,s,l,c,u){const h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t}}va.prototype.bytesPerElement=20,Mi(\"StructArrayLayout10ui20\",va);class xa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h){const f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t}}xa.prototype.bytesPerElement=24,Mi(\"StructArrayLayout4i4ui4i24\",xa);class _a extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t}}_a.prototype.bytesPerElement=12,Mi(\"StructArrayLayout3f12\",_a);class ba extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint32[r+0]=e,t}}ba.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1ul4\",ba);class wa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l){const c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)}emplace(t,e,r,n,i,a,o,s,l,c){const u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t}}wa.prototype.bytesPerElement=20,Mi(\"StructArrayLayout6i1ul2ui20\",wa);class Ta extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}Ta.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i2i2i12\",Ta);class ka extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i){const a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)}emplace(t,e,r,n,i,a){const o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t}}ka.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2f1f2i16\",ka);class Aa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=16*t,l=4*t,c=8*t;return this.uint8[s+0]=e,this.uint8[s+1]=r,this.float32[l+1]=n,this.float32[l+2]=i,this.int16[c+6]=a,this.int16[c+7]=o,t}}Aa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2ub2f2i16\",Aa);class Ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t}}Ma.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3ui6\",Ma);class Sa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=24*t,x=12*t,_=48*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[_+36]=p,this.uint8[_+37]=d,this.uint8[_+38]=m,this.uint32[x+10]=g,this.int16[v+22]=y,t}}Sa.prototype.bytesPerElement=48,Mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Sa);class Ea extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S){const E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){const C=32*t,L=16*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.uint16[C+30]=S,this.uint16[C+31]=E,t}}Ea.prototype.bytesPerElement=64,Mi(\"StructArrayLayout8i15ui1ul2f2ui64\",Ea);class Ca extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.float32[r+0]=e,t}}Ca.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1f4\",Ca);class La extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=6*t,a=3*t;return this.uint16[i+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t}}La.prototype.bytesPerElement=12,Mi(\"StructArrayLayout1ui2f12\",La);class Ia extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t}}Ia.prototype.bytesPerElement=8,Mi(\"StructArrayLayout1ul2ui8\",Ia);class Pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t}}Pa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2ui4\",Pa);class za extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint16[r+0]=e,t}}za.prototype.bytesPerElement=2,Mi(\"StructArrayLayout1ui2\",za);class Oa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t}}Oa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout4f16\",Oa);class Da extends la{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}}Da.prototype.size=20;class Ra extends wa{get(t){return new Da(this,t)}}Mi(\"CollisionBoxArray\",Ra);class Fa extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(t){this._structArray.uint8[this._pos1+37]=t}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(t){this._structArray.uint8[this._pos1+38]=t}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(t){this._structArray.uint32[this._pos4+10]=t}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Fa.prototype.size=48;class Ba extends Sa{get(t){return new Fa(this,t)}}Mi(\"PlacedSymbolArray\",Ba);class Na extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(t){this._structArray.uint32[this._pos4+12]=t}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Na.prototype.size=64;class ja extends Ea{get(t){return new Na(this,t)}}Mi(\"SymbolInstanceArray\",ja);class Ua extends Ca{getoffsetX(t){return this.float32[1*t+0]}}Mi(\"GlyphOffsetArray\",Ua);class Va extends pa{getx(t){return this.int16[3*t+0]}gety(t){return this.int16[3*t+1]}gettileUnitDistanceFromAnchor(t){return this.int16[3*t+2]}}Mi(\"SymbolLineVertexArray\",Va);class qa extends la{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}qa.prototype.size=12;class Ha extends La{get(t){return new qa(this,t)}}Mi(\"TextAnchorOffsetArray\",Ha);class Ga extends la{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ga.prototype.size=8;class Za extends Ia{get(t){return new Ga(this,t)}}Mi(\"FeatureIndexArray\",Za);class Wa extends fa{}class Ya extends fa{}class Xa extends fa{}class $a extends ma{}class Ja extends ga{}class Ka extends ya{}class Qa extends va{}class to extends xa{}class eo extends _a{}class ro extends ba{}class no extends Ta{}class io extends Aa{}class ao extends Ma{}class oo extends Pa{}const so=ua([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:lo,size:co,alignment:uo}=so;class ho{constructor(t=[]){this.segments=t}prepareSegment(t,e,r,n){let i=this.segments[this.segments.length-1];return t>ho.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${ho.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${t}`),(!i||i.vertexLength+t>ho.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i}get(){return this.segments}destroy(){for(const t of this.segments)for(const e in t.vaos)t.vaos[e].destroy()}static simpleSegment(t,e,r,n){return new ho([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])}}function fo(t,e){return 256*(t=m(Math.floor(t),0,255))+m(Math.floor(e),0,255)}ho.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Mi(\"SegmentVector\",ho);const po=ua([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var mo={exports:{}},go={exports:{}};!function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}(go);var yo=go.exports,vo={exports:{}};!function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}(vo);var xo=yo,_o=vo.exports;mo.exports=xo,mo.exports.murmur3=xo,mo.exports.murmur2=_o;var bo=r(mo.exports);class wo{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(t,e,r,n){this.ids.push(To(t)),this.positions.push(e,r,n)}getPositions(t){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");const e=To(t);let r=0,n=this.ids.length-1;for(;r<n;){const t=r+n>>1;this.ids[t]>=e?n=t:r=t+1}const i=[];for(;this.ids[r]===e;){const t=this.positions[3*r],e=this.positions[3*r+1],n=this.positions[3*r+2];i.push({index:t,start:e,end:n}),r++}return i}static serialize(t,e){const r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return ko(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}}static deserialize(t){const e=new wo;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e}}function To(t){const e=+t;return!isNaN(e)&&e<=Number.MAX_SAFE_INTEGER?e:bo(String(t))}function ko(t,e,r,n){for(;r<n;){const i=t[r+n>>1];let a=r-1,o=n+1;for(;;){do{a++}while(t[a]<i);do{o--}while(t[o]>i);if(a>=o)break;Ao(t,a,o),Ao(e,3*a,3*o),Ao(e,3*a+1,3*o+1),Ao(e,3*a+2,3*o+2)}o-r<n-o?(ko(t,e,r,o),r=o+1):(ko(t,e,o+1,n),n=o)}}function Ao(t,e,r){const n=t[e];t[e]=t[r],t[r]=n}Mi(\"FeaturePositionMap\",wo);class Mo{constructor(t,e){this.gl=t.gl,this.location=e}}class So extends Mo{constructor(t,e){super(t,e),this.current=0}set(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))}}class Eo extends Mo{constructor(t,e){super(t,e),this.current=[0,0,0,0]}set(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))}}class Co extends Mo{constructor(t,e){super(t,e),this.current=Xt.transparent}set(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))}}const Lo=new Float32Array(16);function Io(t){return[fo(255*t.r,255*t.g),fo(255*t.b,255*t.a)]}class Po{constructor(t,e,r){this.value=t,this.uniformNames=e.map((t=>`u_${t}`)),this.type=r}setUniform(t,e,r){t.set(r.constantOr(this.value))}getBinding(t,e,r){return\"color\"===this.type?new Co(t,e):new So(t,e)}}class zo{constructor(t,e){this.uniformNames=e.map((t=>`u_${t}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr}setUniform(t,e,r,n){const i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)}getBinding(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Eo(t,e):new So(t,e)}}class Oo{constructor(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?2:1,offset:0}))),this.paintVertexArray=new n}populatePaintArray(t,e,r,n,i){const a=this.paintVertexArray.length,o=this.expression.evaluate(new Hi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)}_setPaintValue(t,e,r){if(\"color\"===this.type){const n=Io(r);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,n[0],n[1])}else{for(let n=t;n<e;n++)this.paintVertexArray.emplace(n,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Do{constructor(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((t=>`u_${t}_t`)),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?4:2,offset:0}))),this.paintVertexArray=new a}populatePaintArray(t,e,r,n,i){const a=this.expression.evaluate(new Hi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Hi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)}_setPaintValue(t,e,r,n){if(\"color\"===this.type){const i=Io(r),a=Io(n);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,i[0],i[1],a[0],a[1])}else{for(let i=t;i<e;i++)this.paintVertexArray.emplace(i,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(t,e){const r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=m(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)}getBinding(t,e,r){return new So(t,e)}}class Ro{constructor(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i}populatePaintArray(t,e,r){const n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)}updatePaintArray(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)}_setPaintValues(t,e,r,n){if(!n||!r)return;const{min:i,mid:a,max:o}=r,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(let r=t;r<e;r++)this.zoomInPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}upload(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,po.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,po.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Fo{constructor(t,e,r){this.binders={},this._buffers=[];const n=[];for(const i in t.paint._values){if(!r(i))continue;const a=t.paint.get(i);if(!(a instanceof Ji&&hn(a.property.specification)))continue;const o=No(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new zo(s.value,o):new Po(s.value,o,l),n.push(`/u_${i}`);else if(\"source\"===s.kind||h){const r=jo(i,l,\"source\");this.binders[i]=h?new Ro(s,l,c,e,r,t.id):new Oo(s,o,l,r),n.push(`/a_${i}`)}else{const t=jo(i,l,\"composite\");this.binders[i]=new Do(s,o,l,c,e,t),n.push(`/z_${i}`)}}this.cacheKey=n.sort().join(\"\")}getMaxValue(t){const e=this.binders[t];return e instanceof Oo||e instanceof Do?e.maxValue:0}populatePaintArrays(t,e,r,n,i){for(const a in this.binders){const o=this.binders[a];(o instanceof Oo||o instanceof Do||o instanceof Ro)&&o.populatePaintArray(t,e,r,n,i)}}setConstantPatternPositions(t,e){for(const r in this.binders){const n=this.binders[r];n instanceof zo&&n.setConstantPatternPositions(t,e)}}updatePaintArrays(t,e,r,n,i){let a=!1;for(const o in t){const s=e.getPositions(o);for(const e of s){const s=r.feature(e.index);for(const r in this.binders){const l=this.binders[r];if((l instanceof Oo||l instanceof Do||l instanceof Ro)&&!0===l.expression.isStateDependent){const c=n.paint.get(r);l.expression=c.value,l.updatePaintArray(e.start,e.end,s,t[o],i),a=!0}}}}return a}defines(){const t=[];for(const e in this.binders){const r=this.binders[e];(r instanceof Po||r instanceof zo)&&t.push(...r.uniformNames.map((t=>`#define HAS_UNIFORM_${t}`)))}return t}getBinderAttributes(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Oo||r instanceof Do)for(let e=0;e<r.paintVertexAttributes.length;e++)t.push(r.paintVertexAttributes[e].name);else if(r instanceof Ro)for(let e=0;e<po.members.length;e++)t.push(po.members[e].name)}return t}getBinderUniforms(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Po||r instanceof zo||r instanceof Do)for(const e of r.uniformNames)t.push(e)}return t}getPaintVertexBuffers(){return this._buffers}getUniforms(t,e){const r=[];for(const n in this.binders){const i=this.binders[n];if(i instanceof Po||i instanceof zo||i instanceof Do)for(const a of i.uniformNames)if(e[a]){const o=i.getBinding(t,e[a],a);r.push({name:a,property:n,binding:o})}}return r}setUniforms(t,e,r,n){for(const{name:t,property:i,binding:a}of e)this.binders[i].setUniform(a,n,r.get(i),t)}updatePaintBuffers(t){this._buffers=[];for(const e in this.binders){const r=this.binders[e];if(t&&r instanceof Ro){const e=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;e&&this._buffers.push(e)}else(r instanceof Oo||r instanceof Do)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}}upload(t){for(const e in this.binders){const r=this.binders[e];(r instanceof Oo||r instanceof Do||r instanceof Ro)&&r.upload(t)}this.updatePaintBuffers()}destroy(){for(const t in this.binders){const e=this.binders[t];(e instanceof Oo||e instanceof Do||e instanceof Ro)&&e.destroy()}}}class Bo{constructor(t,e,r=(()=>!0)){this.programConfigurations={};for(const n of t)this.programConfigurations[n.id]=new Fo(n,e,r);this.needsUpload=!1,this._featureMap=new wo,this._bufferOffset=0}populatePaintArrays(t,e,r,n,i,a){for(const r in this.programConfigurations)this.programConfigurations[r].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0}updatePaintArrays(t,e,r,n){for(const i of r)this.needsUpload=this.programConfigurations[i.id].updatePaintArrays(t,this._featureMap,e,i,n)||this.needsUpload}get(t){return this.programConfigurations[t]}upload(t){if(this.needsUpload){for(const e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}}destroy(){for(const t in this.programConfigurations)this.programConfigurations[t].destroy()}}function No(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(`${e}-`,\"\").replace(/-/g,\"_\")]}function jo(t,e,r){const n={color:{source:ya,composite:Oa},number:{source:Ca,composite:ya}},i=function(t){return{\"line-pattern\":{source:Qa,composite:Qa},\"fill-pattern\":{source:Qa,composite:Qa},\"fill-extrusion-pattern\":{source:Qa,composite:Qa}}[t]}(t);return 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Ya,this.indexArray=new ao,this.segments=new ho,this.programConfigurations=new Bo(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){const n=this.layers[0],i=[];let a=null,o=!1;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"),o=!a.isConstant());for(const{feature:e,id:n,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=o?a.evaluate(c,{},r):void 0,h={id:n,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};i.push(h)}o&&i.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of i){const{geometry:i,index:a,sourceLayerIndex:o}=n,s=t[a].feature;this.addFeature(n,i,a,r),e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,lo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}addFeature(t,e,r,n){for(const r of e)for(const e of r){const r=e.x,n=e.y;if(r<0||r>=Uo||n<0||n>=Uo)continue;const i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),a=i.vertexLength;Zo(this.layoutVertexArray,r,n,-1,-1),Zo(this.layoutVertexArray,r,n,1,-1),Zo(this.layoutVertexArray,r,n,1,1),Zo(this.layoutVertexArray,r,n,-1,1),this.indexArray.emplaceBack(a,a+1,a+2),this.indexArray.emplaceBack(a,a+3,a+2),i.vertexLength+=4,i.primitiveLength+=2}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)}}function Yo(t,e){for(let r=0;r<t.length;r++)if(ns(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(ns(t,e[r]))return!0;return!!Ko(t,e)}function Xo(t,e,r){return!!ns(t,e)||!!ts(e,t,r)}function $o(t,e){if(1===t.length)return rs(e,t[0]);for(let r=0;r<e.length;r++){const n=e[r];for(let e=0;e<n.length;e++)if(ns(t,n[e]))return!0}for(let r=0;r<t.length;r++)if(rs(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(Ko(t,e[r]))return!0;return!1}function Jo(t,e,r){if(t.length>1){if(Ko(t,e))return!0;for(let n=0;n<e.length;n++)if(ts(e[n],t,r))return!0}for(let 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Qi(Z.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Qi(Z.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Qi(Z.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Qi(Z.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new ta(Z.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new ta(Z.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new ta(Z.paint_circle[\"circle-stroke-opacity\"])})},get layout(){return ls=ls||new ia({\"circle-sort-key\":new ta(Z.layout_circle[\"circle-sort-key\"])})}},hs=1e-6,fs=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ps(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function ds(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],m=e[12],g=e[13],y=e[14],v=e[15],x=r[0],_=r[1],b=r[2],w=r[3];return t[0]=x*n+_*s+b*h+w*m,t[1]=x*i+_*l+b*f+w*g,t[2]=x*a+_*c+b*p+w*y,t[3]=x*o+_*u+b*d+w*v,x=r[4],_=r[5],b=r[6],w=r[7],t[4]=x*n+_*s+b*h+w*m,t[5]=x*i+_*l+b*f+w*g,t[6]=x*a+_*c+b*p+w*y,t[7]=x*o+_*u+b*d+w*v,x=r[8],_=r[9],b=r[10],w=r[11],t[8]=x*n+_*s+b*h+w*m,t[9]=x*i+_*l+b*f+w*g,t[10]=x*a+_*c+b*p+w*y,t[11]=x*o+_*u+b*d+w*v,x=r[12],_=r[13],b=r[14],w=r[15],t[12]=x*n+_*s+b*h+w*m,t[13]=x*i+_*l+b*f+w*g,t[14]=x*a+_*c+b*p+w*y,t[15]=x*o+_*u+b*d+w*v,t}Math.hypot||(Math.hypot=function(){for(var t=0,e=arguments.length;e--;)t+=arguments[e]*arguments[e];return Math.sqrt(t)});var ms=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t};var gs=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t};var ys=ds;function vs(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}var xs,_s=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t};xs=new fs(4),fs!=Float32Array&&(xs[0]=0,xs[1]=0,xs[2]=0,xs[3]=0);class bs extends oa{constructor(t){super(t,us)}createBucket(t){return new Wo(t)}queryRadius(t){const e=t;return as(\"circle-radius\",this,e)+as(\"circle-stroke-width\",this,e)+os(this.paint.get(\"circle-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o,s){const l=ss(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),a.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return t.map((t=>ws(t,e)))}(l,s),f=u?c*o:c;for(const t of n)for(const e of t){const t=u?e:ws(e,s);let r=f;const n=vs([],[e.x,e.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?r*=n[3]/a.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(r*=a.cameraToCenterDistance/n[3]),Xo(h,t,r))return!0}return!1}}function ws(t,e){const r=vs([],[t.x,t.y,0,1],e);return new a(r[0]/r[3],r[1]/r[3])}class Ts extends Wo{}let ks;Mi(\"HeatmapBucket\",Ts,{omit:[\"layers\"]});var As={get paint(){return ks=ks||new ia({\"heatmap-radius\":new 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ta(Z.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Qi(Z.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Qi(Z.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new ea(Z.paint_fill[\"fill-pattern\"])})},get layout(){return dl=dl||new ia({\"fill-sort-key\":new ta(Z.layout_fill[\"fill-sort-key\"])})}};class yl extends oa{constructor(t){super(t,gl)}recalculate(t,e){super.recalculate(t,e);const r=this.paint._values[\"fill-outline-color\"];\"constant\"===r.value.kind&&void 0===r.value.value&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(t){return new pl(t)}queryRadius(){return os(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o){return $o(ss(t,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),a.angle,o),n)}isTileClipped(){return!0}}const vl=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),xl=ua([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:_l,size:bl,alignment:wl}=vl;var Tl={},kl=n,Al=Ml;function Ml(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Sl,this,e)}function Sl(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function El(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ml.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ml.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,a=0,o=0,s=[];t.pos<r;){if(i<=0){var l=t.readVarint();n=7&l,i=l>>3}if(i--,1===n||2===n)a+=t.readSVarint(),o+=t.readSVarint(),1===n&&(e&&s.push(e),e=[]),e.push(new kl(a,o));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&s.push(e),s},Ml.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ml.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ml.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=El(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Cl=Al,Ll=Il;function Il(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Pl,this,e),this.length=this._features.length}function Pl(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}Il.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Cl(this._pbf,e,this.extent,this._keys,this._values)};var zl=Ll,Ol=function(t,e){this.layers=t.readFields(Dl,{},e)};function Dl(t,e,r){if(3===t){var n=new zl(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Tl.VectorTile=Ol,Tl.VectorTileFeature=Al,Tl.VectorTileLayer=Ll;const Rl=Tl.VectorTileFeature.types,Fl=Math.pow(2,13);function Bl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Fl)+o,i*Fl*2,a*Fl*2,Math.round(s))}class Nl{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new $a,this.centroidVertexArray=new Wa,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.features=[],this.hasPattern=hl(\"fill-extrusion\",this.layers,e);for(const{feature:n,id:i,index:a,sourceLayerIndex:o}of t){const t=this.layers[0]._featureFilter.needGeometry,s=Go(n,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),s,r))continue;const l={id:i,sourceLayerIndex:o,index:a,geometry:t?s.geometry:Ho(n),properties:n.properties,type:n.type,patterns:{}};this.hasPattern?this.features.push(fl(\"fill-extrusion\",this.layers,l,this.zoom,e)):this.addFeature(l,l.geometry,a,r,{}),e.featureIndex.insert(n,l.geometry,a,o,this.index,!0)}}addFeatures(t,e,r){for(const t of this.features){const{geometry:n}=t;this.addFeature(t,n,t.index,e,r)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.centroidVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,_l),this.centroidVertexBuffer=t.createVertexBuffer(this.centroidVertexArray,xl.members,!0),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(t,e,r,n,i){for(const r of br(e,500)){const e={x:0,y:0,vertexCount:0};let n=0;for(const t of r)n+=t.length;let i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(const t of r){if(0===t.length)continue;if(Ul(t))continue;let r=0;for(let n=0;n<t.length;n++){const a=t[n];if(n>=1){const o=t[n-1];if(!jl(a,o)){i.vertexLength+4>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));const t=a.sub(o)._perp()._unit(),n=o.dist(a);r+n>32768&&(r=0),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,1,r),e.x+=2*a.x,e.y+=2*a.y,e.vertexCount+=2,r+=n,Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,1,r),e.x+=2*o.x,e.y+=2*o.y,e.vertexCount+=2;const s=i.vertexLength;this.indexArray.emplaceBack(s,s+2,s+1),this.indexArray.emplaceBack(s+1,s+2,s+3),i.vertexLength+=4,i.primitiveLength+=2}}}}if(i.vertexLength+n>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(n,this.layoutVertexArray,this.indexArray)),\"Polygon\"!==Rl[t.type])continue;const a=[],o=[],s=i.vertexLength;for(const t of r)if(0!==t.length){t!==r[0]&&o.push(a.length/2);for(let r=0;r<t.length;r++){const n=t[r];Bl(this.layoutVertexArray,n.x,n.y,0,0,1,1,0),e.x+=n.x,e.y+=n.y,e.vertexCount+=1,a.push(n.x),a.push(n.y)}}const l=js(a,o);for(let t=0;t<l.length;t+=3)this.indexArray.emplaceBack(s+l[t],s+l[t+2],s+l[t+1]);i.primitiveLength+=l.length/3,i.vertexLength+=n;for(let t=0;t<e.vertexCount;t++){const t=Math.floor(e.x/e.vertexCount),r=Math.floor(e.y/e.vertexCount);this.centroidVertexArray.emplaceBack(t,r)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}}function jl(t,e){return t.x===e.x&&(t.x<0||t.x>Uo)||t.y===e.y&&(t.y<0||t.y>Uo)}function Ul(t){return t.every((t=>t.x<0))||t.every((t=>t.x>Uo))||t.every((t=>t.y<0))||t.every((t=>t.y>Uo))}let Vl;Mi(\"FillExtrusionBucket\",Nl,{omit:[\"layers\",\"features\"]});var ql={get paint(){return Vl=Vl||new ia({\"fill-extrusion-opacity\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ea(Z[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Hl extends oa{constructor(t){super(t,ql)}createBucket(t){return new Nl(t)}queryRadius(){return os(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(t,e,r,n,i,o,s,l){const c=ss(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){const i=[];for(const r of t){const t=[r.x,r.y,n,1];vs(t,t,e),i.push(new a(t[0]/t[3],t[1]/t[3]))}return i}(c,l,0,0),p=function(t,e,r,n){const i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r;for(const e of t){const t=[],r=[];for(const i of e){const e=i.x,o=i.y,m=n[0]*e+n[4]*o+n[12],g=n[1]*e+n[5]*o+n[13],y=n[2]*e+n[6]*o+n[14],v=n[3]*e+n[7]*o+n[15],x=y+c,_=v+u,b=m+h,w=g+f,T=y+p,k=v+d,A=new a((m+s)/_,(g+l)/_);A.z=x/_,t.push(A);const M=new a(b/k,w/k);M.z=T/k,r.push(M)}i.push(t),o.push(r)}return[i,o]}(n,h,u,l);return function(t,e,r){let n=1/0;$o(r,e)&&(n=Zl(r,e[0]));for(let i=0;i<e.length;i++){const a=e[i],o=t[i];for(let t=0;t<a.length-1;t++){const e=a[t],i=a[t+1],s=o[t],l=[e,i,o[t+1],s,e];Yo(r,l)&&(n=Math.min(n,Zl(r,l)))}}return n!==1/0&&n}(p[0],p[1],f)}}function Gl(t,e){return t.x*e.x+t.y*e.y}function Zl(t,e){if(1===t.length){let r=0;const n=e[r++];let i;for(;!i||n.equals(i);)if(i=e[r++],!i)return 1/0;for(;r<e.length;r++){const a=e[r],o=t[0],s=i.sub(n),l=a.sub(n),c=o.sub(n),u=Gl(s,s),h=Gl(s,l),f=Gl(l,l),p=Gl(c,s),d=Gl(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=n.z*v+i.z*g+a.z*y;if(isFinite(x))return x}return 1/0}{let t=1/0;for(const r of e)t=Math.min(t,r.z);return t}}const Wl=ua([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:Yl,size:Xl,alignment:$l}=Wl,Jl=ua([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:Kl,size:Ql,alignment:tc}=Jl,ec=Tl.VectorTileFeature.types,rc=Math.cos(Math.PI/180*37.5),nc=Math.pow(2,14)/.5;class ic{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((t=>{this.gradients[t.id]={}})),this.layoutVertexArray=new Ja,this.layoutVertexArray2=new Ka,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"line\",this.layers,e);const n=this.layers[0].layout.get(\"line-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:e,id:o,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=i?n.evaluate(c,{},r):void 0,h={id:o,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};a.push(h)}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"line\",this.layers,n,this.zoom,e);this.patternFeatures.push(t)}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,Kl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Yl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(t){if(t.properties&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}}addFeature(t,e,r,n,i){const a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(const r of e)this.addLine(r,t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}addLine(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let e=0;e<t.length-1;e++)this.totalDistance+=t[e].dist(t[e+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}const o=\"Polygon\"===ec[e.type];let s=t.length;for(;s>=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l<s-1&&t[l].equals(t[l+1]);)l++;if(s<(o?3:2))return;\"bevel\"===r&&(i=1.05);const c=this.overscaling<=16?15*Uo/(512*this.overscaling):0,u=this.segments.prepareSegment(10*s,this.layoutVertexArray,this.indexArray);let h,f,p,d,m;this.e1=this.e2=-1,o&&(h=t[s-2],m=t[l].sub(h)._unit()._perp());for(let e=l;e<s;e++){if(p=e===s-1?o?t[l+1]:void 0:t[e+1],p&&t[e].equals(p))continue;m&&(d=m),h&&(f=h),h=t[e],m=p?p.sub(h)._unit()._perp():d,d=d||m;let g=d.add(m);0===g.x&&0===g.y||g._unit();const y=d.x*m.x+d.y*m.y,v=g.x*m.x+g.y*m.y,x=0!==v?1/v:1/0,_=2*Math.sqrt(2-2*v),b=v<rc&&f&&p,w=d.x*m.y-d.y*m.x>0;if(b&&e>l){const t=h.dist(f);if(t>2*c){const e=h.sub(h.sub(f)._mult(c/t)._round());this.updateDistance(f,e),this.addCurrentVertex(e,d,0,0,u),f=e}}const T=f&&p;let k=T?r:o?\"butt\":n;if(T&&\"round\"===k&&(x<a?k=\"miter\":x<=2&&(k=\"fakeround\")),\"miter\"===k&&x>i&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x<i&&(k=\"miter\")),f&&this.updateDistance(f,h),\"miter\"===k)g._mult(x),this.addCurrentVertex(h,g,0,0,u);else if(\"flipbevel\"===k){if(x>100)g=m.mult(-1);else{const t=x*d.add(m).mag()/d.sub(m).mag();g._perp()._mult(t*(w?-1:1))}this.addCurrentVertex(h,g,0,0,u),this.addCurrentVertex(h,g.mult(-1),0,0,u)}else if(\"bevel\"===k||\"fakeround\"===k){const t=-Math.sqrt(x*x-1),e=w?t:0,r=w?0:t;if(f&&this.addCurrentVertex(h,d,e,r,u),\"fakeround\"===k){const t=Math.round(180*_/Math.PI/20);for(let e=1;e<t;e++){let r=e/t;if(.5!==r){const t=r-.5;r+=r*t*(r-1)*((1.0904+y*(y*(3.55645-1.43519*y)-3.2452))*t*t+(.848013+y*(.215638*y-1.06021)))}const n=m.sub(d)._mult(r)._add(d)._unit()._mult(w?-1:1);this.addHalfVertex(h,n.x,n.y,!1,w,0,u)}}p&&this.addCurrentVertex(h,m,-e,-r,u)}else if(\"butt\"===k)this.addCurrentVertex(h,g,0,0,u);else if(\"square\"===k){const t=f?1:-1;this.addCurrentVertex(h,g,t,t,u)}else\"round\"===k&&(f&&(this.addCurrentVertex(h,d,0,0,u),this.addCurrentVertex(h,d,1,1,u,!0)),p&&(this.addCurrentVertex(h,m,-1,-1,u,!0),this.addCurrentVertex(h,m,0,0,u)));if(b&&e<s-1){const t=h.dist(p);if(t>2*c){const e=h.add(p.sub(h)._mult(c/t)._round());this.updateDistance(h,e),this.addCurrentVertex(e,m,0,0,u),h=e}}}}addCurrentVertex(t,e,r,n,i,a=!1){const o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>nc/2&&0===this.totalDistance&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(t,e,r,n,i,a))}addHalfVertex({x:t,y:e},r,n,i,a,o,s){const l=.5*(this.lineClips?this.scaledDistance*(nc-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((t<<1)+(i?1:0),(e<<1)+(a?1:0),Math.round(63*r)+128,Math.round(63*n)+128,1+(0===o?0:o<0?-1:1)|(63&l)<<2,l>>6),this.lineClips){const t=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(t,this.lineClipsArray.length)}const 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ra(Z.paint_line[\"line-dasharray\"]),\"line-pattern\":new ea(Z.paint_line[\"line-pattern\"]),\"line-gradient\":new na(Z.paint_line[\"line-gradient\"])})},get layout(){return ac=ac||new ia({\"line-cap\":new Qi(Z.layout_line[\"line-cap\"]),\"line-join\":new ta(Z.layout_line[\"line-join\"]),\"line-miter-limit\":new Qi(Z.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Qi(Z.layout_line[\"line-round-limit\"]),\"line-sort-key\":new ta(Z.layout_line[\"line-sort-key\"])})}};class lc extends ta{possiblyEvaluate(t,e){return e=new Hi(Math.floor(e.zoom),{now:e.now,fadeDuration:e.fadeDuration,zoomHistory:e.zoomHistory,transition:e.transition}),super.possiblyEvaluate(t,e)}evaluate(t,e,r,n){return e=y({},e,{zoom:Math.floor(e.zoom)}),super.evaluate(t,e,r,n)}}let cc;class uc extends oa{constructor(t){super(t,sc),this.gradientVersion=0,cc||(cc=new lc(sc.paint.properties[\"line-width\"].specification),cc.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(t){if(\"line-gradient\"===t){const 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l=ss(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*hc(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){const r=[];for(let n=0;n<t.length;n++){const i=t[n],o=[];for(let t=0;t<i.length;t++){const r=i[t-1],n=i[t],s=i[t+1],l=0===t?new a(0,0):n.sub(r)._unit()._perp(),c=t===i.length-1?new a(0,0):s.sub(n)._unit()._perp(),u=l._add(c)._unit(),h=u.x*c.x+u.y*c.y;0!==h&&u._mult(1/h),o.push(u._mult(e)._add(n))}r.push(o)}return r}(n,u*s)),function(t,e,r){for(let n=0;n<e.length;n++){const i=e[n];if(t.length>=3)for(let e=0;e<i.length;e++)if(ns(t,i[e]))return!0;if(Jo(t,i,r))return!0}return!1}(l,n,c)}isTileClipped(){return!0}}function hc(t,e){return e>0?e+2*t:t}const 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mc=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),gc=ua([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function yc(t,e,r){return t.sections.forEach((t=>{t.text=function(t,e,r){const 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vc={\"!\":\"︕\",\"#\":\"＃\",$:\"＄\",\"%\":\"％\",\"&\":\"＆\",\"(\":\"︵\",\")\":\"︶\",\"*\":\"＊\",\"+\":\"＋\",\",\":\"︐\",\"-\":\"︲\",\".\":\"・\",\"/\":\"／\",\":\":\"︓\",\";\":\"︔\",\"<\":\"︿\",\"=\":\"＝\",\">\":\"﹀\",\"?\":\"︖\",\"@\":\"＠\",\"[\":\"﹇\",\"\\\\\":\"＼\",\"]\":\"﹈\",\"^\":\"＾\",_:\"︳\",\"`\":\"｀\",\"{\":\"︷\",\"|\":\"―\",\"}\":\"︸\",\"~\":\"～\",\"¢\":\"￠\",\"£\":\"￡\",\"¥\":\"￥\",\"¦\":\"￤\",\"¬\":\"￢\",\"¯\":\"￣\",\"–\":\"︲\",\"—\":\"︱\",\"‘\":\"﹃\",\"’\":\"﹄\",\"“\":\"﹁\",\"”\":\"﹂\",\"…\":\"︙\",\"‧\":\"・\",\"₩\":\"￦\",\"、\":\"︑\",\"。\":\"︒\",\"〈\":\"︿\",\"〉\":\"﹀\",\"《\":\"︽\",\"》\":\"︾\",\"「\":\"﹁\",\"」\":\"﹂\",\"『\":\"﹃\",\"』\":\"﹄\",\"【\":\"︻\",\"】\":\"︼\",\"〔\":\"︹\",\"〕\":\"︺\",\"〖\":\"︗\",\"〗\":\"︘\",\"！\":\"︕\",\"（\":\"︵\",\"）\":\"︶\",\"，\":\"︐\",\"－\":\"︲\",\"．\":\"・\",\"：\":\"︓\",\"；\":\"︔\",\"＜\":\"︿\",\"＞\":\"﹀\",\"？\":\"︖\",\"［\":\"﹇\",\"］\":\"﹈\",\"＿\":\"︳\",\"｛\":\"︷\",\"｜\":\"―\",\"｝\":\"︸\",\"｟\":\"︵\",\"｠\":\"︶\",\"｡\":\"︒\",\"｢\":\"﹁\",\"｣\":\"﹂\"};var xc=24,_c=wc,bc={read:function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},write:function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m}};function wc(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}wc.Varint=0,wc.Fixed64=1,wc.Bytes=2,wc.Fixed32=5;var Tc=4294967296,kc=1/Tc,Ac=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf-8\");function Mc(t){return t.type===wc.Bytes?t.readVarint()+t.pos:t.pos+1}function Sc(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function Ec(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function Cc(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function Lc(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function Ic(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function Pc(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function zc(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function Oc(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function Dc(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function Rc(t,e){for(var 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t.push(this.readSFixed32());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readSFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===wc.Varint)for(;this.buf[this.pos++]>127;);else if(e===wc.Bytes)this.pos=this.readVarint()+this.pos;else if(e===wc.Fixed32)this.pos+=4;else{if(e!==wc.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Ec(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),bc.write(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),bc.write(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Ec(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,wc.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Cc,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Lc,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,zc,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Ic,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Pc,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Oc,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Dc,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Rc,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Fc,e)},writeBytesField:function(t,e){this.writeTag(t,wc.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,wc.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,wc.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Uc=r(_c);const Vc=3;function qc(t,e,r){1===t&&r.readMessage(Hc,e)}function Hc(t,e,r){if(3===t){const{id:t,bitmap:n,width:i,height:a,left:o,top:s,advance:l}=r.readMessage(Gc,{});e.push({id:t,bitmap:new Cs({width:i+2*Vc,height:a+2*Vc},n),metrics:{width:i,height:a,left:o,top:s,advance:l}})}}function Gc(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}const Zc=Vc;function Wc(t){let e=0,r=0;for(const n of t)e+=n.w*n.h,r=Math.max(r,n.w);t.sort(((t,e)=>e.h-t.h));const n=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}];let i=0,a=0;for(const e of t)for(let t=n.length-1;t>=0;t--){const r=n[t];if(!(e.w>r.w||e.h>r.h)){if(e.x=r.x,e.y=r.y,a=Math.max(a,e.y+e.h),i=Math.max(i,e.x+e.w),e.w===r.w&&e.h===r.h){const e=n.pop();t<n.length&&(n[t]=e)}else 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10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function lu(t,e,r,n,i,a){let o=null,s=ou(e,r,i,a);for(const t of n){const n=ou(e-t.x,r,i,a)+t.badness;n<=s&&(o=t,s=n)}return{index:t,x:e,priorBreak:o,badness:s}}function cu(t){return t?cu(t.priorBreak).concat(t.index):[]}function uu(t,e,r,n,i,a){if(!t)return[];const o=[],s=function(t,e,r,n,i,a){let o=0;for(let r=0;r<t.length();r++){const s=t.getSection(r);o+=au(t.getCharCode(r),s,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,a),l=t.text.indexOf(\"​\")>=0;let c=0;for(let r=0;r<t.length();r++){const h=t.getSection(r),f=t.getCharCode(r);if(ru[f]||(c+=au(f,h,n,i,e,a)),r<t.length()-1){const e=!((u=f)<11904||!(zi[\"Bopomofo Extended\"](u)||zi.Bopomofo(u)||zi[\"CJK Compatibility Forms\"](u)||zi[\"CJK Compatibility Ideographs\"](u)||zi[\"CJK Compatibility\"](u)||zi[\"CJK Radicals Supplement\"](u)||zi[\"CJK Strokes\"](u)||zi[\"CJK Symbols and Punctuation\"](u)||zi[\"CJK Unified Ideographs Extension A\"](u)||zi[\"CJK Unified Ideographs\"](u)||zi[\"Enclosed CJK Letters and Months\"](u)||zi[\"Halfwidth and Fullwidth Forms\"](u)||zi.Hiragana(u)||zi[\"Ideographic Description Characters\"](u)||zi[\"Kangxi Radicals\"](u)||zi[\"Katakana Phonetic Extensions\"](u)||zi.Katakana(u)||zi[\"Vertical Forms\"](u)||zi[\"Yi Radicals\"](u)||zi[\"Yi Syllables\"](u)));(nu[f]||e||h.imageName||r!==t.length()-2&&iu[t.getCharCode(r+1)])&&o.push(lu(r+1,c,s,o,su(f,t.getCharCode(r+1),e&&l),!1))}}var u;return cu(lu(t.length(),c,s,o,0,!0))}function hu(t){let e=.5,r=.5;switch(t){case\"right\":case\"top-right\":case\"bottom-right\":e=1;break;case\"left\":case\"top-left\":case\"bottom-left\":e=0}switch(t){case\"bottom\":case\"bottom-right\":case\"bottom-left\":r=1;break;case\"top\":case\"top-right\":case\"top-left\":r=0}return{horizontalAlign:e,verticalAlign:r}}function fu(t,e,r,n,i){if(!n&&!i)return;const a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n;for(let n=e;n<=r;n++)t[n].x-=s,t[n].y+=i}function pu(t,e,r){const{horizontalAlign:n,verticalAlign:i}=hu(r),a=e[0],o=e[1],s=a-t.displaySize[0]*n,l=s+t.displaySize[0],c=o-t.displaySize[1]*i;return{image:t,top:c,bottom:c+t.displaySize[1],left:s,right:l}}function du(t){var e,r;let n=t.left,i=t.top,a=t.right-n,o=t.bottom-i;const s=t.image.content[2]-t.image.content[0],l=t.image.content[3]-t.image.content[1],c=null!==(e=t.image.textFitWidth)&&void 0!==e?e:\"stretchOrShrink\",u=null!==(r=t.image.textFitHeight)&&void 0!==r?r:\"stretchOrShrink\",h=s/l;if(\"proportional\"===u){if(\"stretchOnly\"===c&&a/o<h||\"proportional\"===c){const t=Math.ceil(o*h);n*=t/a,a=t}}else if(\"proportional\"===c&&\"stretchOnly\"===u&&0!==h&&a/o>h){const t=Math.ceil(a/h);i*=t/o,o=t}return{x1:n,y1:i,x2:n+a,y2:i+o}}function mu(t,e,r,n,i,a){const o=t.image;let s;if(o.content){const t=o.content,e=o.pixelRatio||1;s=[t[0]/e,t[1]/e,o.displaySize[0]-t[2]/e,o.displaySize[1]-t[3]/e]}const l=e.left*a,c=e.right*a;let u,h,f,p;\"width\"===r||\"both\"===r?(p=i[0]+l-n[3],h=i[0]+c+n[1]):(p=i[0]+(l+c-o.displaySize[0])/2,h=p+o.displaySize[0]);const d=e.top*a,m=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+d-n[0],f=i[1]+m+n[2]):(u=i[1]+(d+m-o.displaySize[1])/2,f=u+o.displaySize[1]),{image:o,top:u,right:h,bottom:f,left:p,collisionPadding:s}}const gu=255,yu=128,vu=gu*yu;function xu(t,e){const{expression:r}=e;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new Hi(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};{const{zoomStops:e,interpolationType:n}=r;let i=0;for(;i<e.length&&e[i]<=t;)i++;i=Math.max(0,i-1);let a=i;for(;a<e.length&&e[a]<t+1;)a++;a=Math.min(e.length-1,a);const o=e[i],s=e[a];return\"composite\"===r.kind?{kind:\"composite\",minZoom:o,maxZoom:s,interpolationType:n}:{kind:\"camera\",minZoom:o,maxZoom:s,minSize:r.evaluate(new Hi(o)),maxSize:r.evaluate(new Hi(s)),interpolationType:n}}}function _u(t,e,r){let n=\"never\";const i=t.get(e);return i?n=i:t.get(r)&&(n=\"always\"),n}const bu=Tl.VectorTileFeature.types,wu=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Tu(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=s?Math.min(vu,Math.round(s[0])):0,d=s?Math.min(vu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function ku(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Au(t){for(const e of t.sections)if(Vi(e.text))return!0;return!1}class Mu{constructor(t){this.layoutVertexArray=new to,this.indexArray=new ao,this.programConfigurations=t,this.segments=new ho,this.dynamicLayoutVertexArray=new eo,this.opacityVertexArray=new ro,this.hasVisibleVertices=!1,this.placedSymbolArray=new Ba}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length}upload(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fc.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,pc.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,wu,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Mi(\"SymbolBuffers\",Mu);class Su{constructor(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ho,this.collisionVertexArray=new io}upload(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,dc.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Mi(\"CollisionBuffers\",Su);class Eu{constructor(e){this.collisionBoxArray=e.collisionBoxArray,this.zoom=e.zoom,this.overscaling=e.overscaling,this.layers=e.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=e.index,this.pixelRatio=e.pixelRatio,this.sourceLayerIndex=e.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ps([]),this.placementViewportMatrix=ps([]);const r=this.layers[0]._unevaluatedLayout._values;this.textSizeData=xu(this.zoom,r[\"text-size\"]),this.iconSizeData=xu(this.zoom,r[\"icon-size\"]);const n=this.layers[0].layout,i=n.get(\"symbol-sort-key\"),a=n.get(\"symbol-z-order\");this.canOverlap=\"never\"!==_u(n,\"text-overlap\",\"text-allow-overlap\")||\"never\"!==_u(n,\"icon-overlap\",\"icon-allow-overlap\")||n.get(\"text-ignore-placement\")||n.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==a&&!i.isConstant();const o=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=o&&this.canOverlap,\"point\"===n.get(\"symbol-placement\")&&(this.writingModes=n.get(\"text-writing-mode\").map((e=>t.ai[e]))),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id)),this.sourceID=e.sourceID}createArrays(){this.text=new Mu(new Bo(this.layers,this.zoom,(t=>/^text/.test(t)))),this.icon=new Mu(new Bo(this.layers,this.zoom,(t=>/^icon/.test(t)))),this.glyphOffsetArray=new Ua,this.lineVertexArray=new Va,this.symbolInstances=new ja,this.textAnchorOffsets=new Ha}calculateGlyphDependencies(t,e,r,n,i){for(let a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){const r=vc[t.charAt(a)];r&&(e[r.charCodeAt(0)]=!0)}}populate(e,r,n){const i=this.layers[0],a=i.layout,o=a.get(\"text-font\"),s=a.get(\"text-field\"),l=a.get(\"icon-image\"),c=(\"constant\"!==s.value.kind||s.value.value instanceof Kt&&!s.value.value.isEmpty()||s.value.value.toString().length>0)&&(\"constant\"!==o.value.kind||o.value.value.length>0),u=\"constant\"!==l.value.kind||!!l.value.value||Object.keys(l.parameters).length>0,h=a.get(\"symbol-sort-key\");if(this.features=[],!c&&!u)return;const f=r.iconDependencies,p=r.glyphDependencies,d=r.availableImages,m=new Hi(this.zoom);for(const{feature:r,id:s,index:l,sourceLayerIndex:g}of e){const e=i._featureFilter.needGeometry,y=Go(r,e);if(!i._featureFilter.filter(m,y,n))continue;let v,x;if(e||(y.geometry=Ho(r)),c){const t=i.getValueAndResolveTokens(\"text-field\",y,n,d),e=Kt.factory(t),r=this.hasRTLText=this.hasRTLText||Au(e);(!r||\"unavailable\"===qi.getRTLTextPluginStatus()||r&&qi.isParsed())&&(v=yc(e,i,y))}if(u){const t=i.getValueAndResolveTokens(\"icon-image\",y,n,d);x=t instanceof re?t:re.fromString(t)}if(!v&&!x)continue;const _=this.sortFeaturesByKey?h.evaluate(y,{},n):void 0,b={id:s,text:v,icon:x,index:l,sourceLayerIndex:g,geometry:y.geometry,properties:r.properties,type:bu[r.type],sortKey:_};if(this.features.push(b),x&&(f[x.name]=!0),v){const e=o.evaluate(y,{},n).join(\",\"),r=\"viewport\"!==a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(t.ai.vertical)>=0;for(const t of v.sections)if(t.image)f[t.image.name]=!0;else{const n=Oi(v.toString()),i=t.fontStack||e,a=p[i]=p[i]||{};this.calculateGlyphDependencies(t.text,a,r,this.allowVerticalPlacement,n)}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){const e={},r={},n=[];let i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){const a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){const a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){const n=r?e[0][e[0].length-1]:e[0][0];return`${t}:${n.x}:${n.y}`}for(let c=0;c<t.length;c++){const u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(!f){a(c);continue}const p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){const t=s(p,d,h),i=o(p,d,n[t].geometry);delete e[p],delete r[d],r[l(f,n[i].geometry,!0)]=i,n[t].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}return n.filter((t=>t.geometry))}(this.features)),this.sortFeaturesByKey&&this.features.sort(((t,e)=>t.sortKey-e.sortKey))}update(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))}isEmpty(){return 0===this.symbolInstances.length&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(t,e){const r=this.lineVertexArray.length;if(void 0!==t.segment){let r=t.dist(e[t.segment+1]),n=t.dist(e[t.segment]);const i={};for(let n=t.segment+1;n<e.length;n++)i[n]={x:e[n].x,y:e[n].y,tileUnitDistanceFromAnchor:r},n<e.length-1&&(r+=e[n+1].dist(e[n]));for(let r=t.segment||0;r>=0;r--)i[r]={x:e[r].x,y:e[r].y,tileUnitDistanceFromAnchor:n},r>0&&(n+=e[r-1].dist(e[r]));for(let t=0;t<e.length;t++){const e=i[t];this.lineVertexArray.emplaceBack(e.x,e.y,e.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}}addSymbols(e,r,n,i,a,o,s,l,c,u,h,f){const p=e.indexArray,d=e.layoutVertexArray,m=e.segments.prepareSegment(4*r.length,d,p,this.canOverlap?o.sortKey:void 0),g=this.glyphOffsetArray.length,y=m.vertexLength,v=this.allowVerticalPlacement&&s===t.ai.vertical?Math.PI/2:0,x=o.text&&o.text.sections;for(let t=0;t<r.length;t++){const{tl:i,tr:a,bl:s,br:c,tex:u,pixelOffsetTL:h,pixelOffsetBR:g,minFontScaleX:y,minFontScaleY:_,glyphOffset:b,isSDF:w,sectionIndex:T}=r[t],k=m.vertexLength,A=b[1];Tu(d,l.x,l.y,i.x,A+i.y,u.x,u.y,n,w,h.x,h.y,y,_),Tu(d,l.x,l.y,a.x,A+a.y,u.x+u.w,u.y,n,w,g.x,h.y,y,_),Tu(d,l.x,l.y,s.x,A+s.y,u.x,u.y+u.h,n,w,h.x,g.y,y,_),Tu(d,l.x,l.y,c.x,A+c.y,u.x+u.w,u.y+u.h,n,w,g.x,g.y,y,_),ku(e.dynamicLayoutVertexArray,l,v),p.emplaceBack(k,k+1,k+2),p.emplaceBack(k+1,k+2,k+3),m.vertexLength+=4,m.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(b[0]),t!==r.length-1&&T===r[t+1].sectionIndex||e.programConfigurations.populatePaintArrays(d.length,o,o.index,{},f,x&&x[T])}e.placedSymbolArray.emplaceBack(l.x,l.y,g,this.glyphOffsetArray.length-g,y,c,u,l.segment,n?n[0]:0,n?n[1]:0,i[0],i[1],s,0,!1,0,h)}_addCollisionDebugVertex(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))}addCollisionDebugVertices(t,e,r,n,i,o,s){const l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;const d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4}addDebugCollisionBoxes(t,e,r,n){for(let i=t;i<e;i++){const t=this.collisionBoxArray.get(i),e=t.x1,a=t.y1,o=t.x2,s=t.y2;this.addCollisionDebugVertices(e,a,o,s,n?this.textCollisionBox:this.iconCollisionBox,t.anchorPoint,r)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Su(no,mc.members,oo),this.iconCollisionBox=new Su(no,mc.members,oo);for(let t=0;t<this.symbolInstances.length;t++){const e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}}_deserializeCollisionBoxesForSymbol(t,e,r,n,i,a,o,s,l){const c={};for(let n=e;n<r;n++){const e=t.get(n);c.textBox={x1:e.x1,y1:e.y1,x2:e.x2,y2:e.y2,anchorPointX:e.anchorPointX,anchorPointY:e.anchorPointY},c.textFeatureIndex=e.featureIndex;break}for(let e=n;e<i;e++){const r=t.get(e);c.verticalTextBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalTextFeatureIndex=r.featureIndex;break}for(let e=a;e<o;e++){const r=t.get(e);c.iconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.iconFeatureIndex=r.featureIndex;break}for(let e=s;e<l;e++){const r=t.get(e);c.verticalIconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalIconFeatureIndex=r.featureIndex;break}return c}deserializeCollisionBoxes(t){this.collisionArrays=[];for(let e=0;e<this.symbolInstances.length;e++){const r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(t,e){const r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs;for(let e=r.vertexStartIndex;e<n;e+=4)t.indexArray.emplaceBack(e,e+1,e+2),t.indexArray.emplaceBack(e+1,e+2,e+3)}getSortedSymbolIndexes(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;const e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[];for(let t=0;t<this.symbolInstances.length;++t){a.push(t);const o=this.symbolInstances.get(t);n.push(0|Math.round(e*o.anchorX+r*o.anchorY)),i.push(o.featureIndex)}return a.sort(((t,e)=>n[t]-n[e]||i[e]-i[t])),a}addToSortKeyRanges(t,e){const r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})}sortFeatures(t){if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(const t of this.symbolInstanceIndexes){const e=this.symbolInstances.get(t);this.featureSortOrder.push(e.featureIndex),[e.rightJustifiedTextSymbolIndex,e.centerJustifiedTextSymbolIndex,e.leftJustifiedTextSymbolIndex].forEach(((t,e,r)=>{t>=0&&r.indexOf(t)===e&&this.addIndicesForPlacedSymbol(this.text,t)})),e.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,e.verticalPlacedTextSymbolIndex),e.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.placedIconSymbolIndex),e.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Cu;Mi(\"SymbolBucket\",Eu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Eu.MAX_GLYPHS=65535,Eu.addDynamicAttributes=ku;let Lu;var Iu={get paint(){return Lu=Lu||new ia({\"icon-opacity\":new ta(Z.paint_symbol[\"icon-opacity\"]),\"icon-color\":new ta(Z.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new ta(Z.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new ta(Z.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new ta(Z.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Qi(Z.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Qi(Z.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new ta(Z.paint_symbol[\"text-opacity\"]),\"text-color\":new ta(Z.paint_symbol[\"text-color\"],{runtimeType:ft,getOverride:t=>t.textColor,hasOverride:t=>!!t.textColor}),\"text-halo-color\":new ta(Z.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new ta(Z.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new ta(Z.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Qi(Z.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Qi(Z.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Cu=Cu||new ia({\"symbol-placement\":new Qi(Z.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Qi(Z.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Qi(Z.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new ta(Z.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Qi(Z.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Qi(Z.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Qi(Z.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Qi(Z.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Qi(Z.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Qi(Z.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new ta(Z.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Qi(Z.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Qi(Z.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new ta(Z.layout_symbol[\"icon-image\"]),\"icon-rotate\":new ta(Z.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ta(Z.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Qi(Z.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new ta(Z.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new ta(Z.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Qi(Z.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Qi(Z.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Qi(Z.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new ta(Z.layout_symbol[\"text-field\"]),\"text-font\":new ta(Z.layout_symbol[\"text-font\"]),\"text-size\":new ta(Z.layout_symbol[\"text-size\"]),\"text-max-width\":new ta(Z.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Qi(Z.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new ta(Z.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new ta(Z.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new ta(Z.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Qi(Z.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new ta(Z.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new ta(Z.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Qi(Z.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Qi(Z.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new ta(Z.layout_symbol[\"text-rotate\"]),\"text-padding\":new Qi(Z.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Qi(Z.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new ta(Z.layout_symbol[\"text-transform\"]),\"text-offset\":new ta(Z.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Qi(Z.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Qi(Z.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Qi(Z.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Qi(Z.layout_symbol[\"text-optional\"])})}};class Pu{constructor(t){if(void 0===t.property.overrides)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=t.property.overrides?t.property.overrides.runtimeType:lt,this.defaultValue=t}evaluate(t){if(t.formattedSection){const e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default}eachChild(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Mi(\"FormatSectionOverride\",Pu,{omit:[\"defaultValue\"]});class zu extends oa{constructor(t){super(t,Iu)}recalculate(t,e){if(super.recalculate(t,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=\"map\"===this.layout.get(\"text-rotation-alignment\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){const t=this.layout.get(\"text-writing-mode\");if(t){const e=[];for(const r of t)e.indexOf(r)<0&&e.push(r);this.layout._values[\"text-writing-mode\"]=e}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(t,e,r,n){const i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||kn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,((e,r)=>t&&r in t?String(t[r]):\"\"))}(e.properties,i)}createBucket(t){return new Eu(t)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(const t of Iu.paint.overridableProperties){if(!zu.hasPaintOverride(this.layout,t))continue;const e=this.paint.get(t),r=new Pu(e),n=new Tn(r,e.property.specification);let i=null;i=\"constant\"===e.value.kind||\"source\"===e.value.kind?new Mn(\"source\",n):new Sn(\"composite\",n,e.value.zoomStops),this.paint._values[t]=new Ji(e.property,i,e.parameters)}}_handleOverridablePaintPropertyUpdate(t,e,r){return!(!this.layout||e.isDataDriven()||r.isDataDriven())&&zu.hasPaintOverride(this.layout,t)}static hasPaintOverride(t,e){const r=t.get(\"text-field\"),n=Iu.paint.properties[e];let i=!1;const a=t=>{for(const e of t)if(n.overrides&&n.overrides.hasOverride(e))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof Kt)a(r.value.value.sections);else if(\"source\"===r.value.kind){const t=e=>{if(!i)if(e instanceof se&&ae(e.value)===gt){const t=e.value;a(t.sections)}else e instanceof We?a(e.sections):e.eachChild(t)},e=r.value;e._styleExpression&&t(e._styleExpression.expression)}return i}}let Ou;var Du={get paint(){return Ou=Ou||new ia({\"background-color\":new Qi(Z.paint_background[\"background-color\"]),\"background-pattern\":new ra(Z.paint_background[\"background-pattern\"]),\"background-opacity\":new Qi(Z.paint_background[\"background-opacity\"])})}};class Ru extends oa{constructor(t){super(t,Du)}}let Fu;var Bu={get paint(){return Fu=Fu||new ia({\"raster-opacity\":new Qi(Z.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Qi(Z.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Qi(Z.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Qi(Z.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Qi(Z.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Qi(Z.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Qi(Z.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Qi(Z.paint_raster[\"raster-fade-duration\"])})}};class Nu extends oa{constructor(t){super(t,Bu)}}class ju extends oa{constructor(t){super(t,{}),this.onAdd=t=>{this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},this.onRemove=t=>{this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},this.implementation=t}is3D(){return\"3d\"===this.implementation.renderingMode}hasOffscreenPass(){return void 0!==this.implementation.prerender}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class Uu{constructor(t){this._methodToThrottle=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}const Vu=6371008.8;class qu{constructor(t,e){if(isNaN(t)||isNaN(e))throw new Error(`Invalid LngLat object: (${t}, ${e})`);if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new qu(g(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(t){const e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Vu*Math.acos(Math.min(i,1))}static convert(t){if(t instanceof qu)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new qu(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new qu(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}const Hu=2*Math.PI*Vu;function Gu(t){return Hu*Math.cos(t*Math.PI/180)}function Zu(t){return(180+t)/360}function Wu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Yu(t,e){return t/Gu(e)}function Xu(t){const e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}class $u{constructor(t,e,r=0){this.x=+t,this.y=+e,this.z=+r}static fromLngLat(t,e=0){const r=qu.convert(t);return new $u(Zu(r.lng),Wu(r.lat),Yu(e,r.lat))}toLngLat(){return new qu(360*this.x-180,Xu(this.y))}toAltitude(){return t=this.z,e=this.y,t*Gu(Xu(e));var t,e}meterInMercatorCoordinateUnits(){return 1/Hu*(t=Xu(this.y),1/Math.cos(t*Math.PI/180));var t}}function Ju(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}class Ku{constructor(t,e,r){if(t<0||t>25||r<0||r>=Math.pow(2,t)||e<0||e>=Math.pow(2,t))throw new Error(`x=${e}, y=${r}, z=${t} outside of bounds. 0<=x<${Math.pow(2,t)}, 0<=y<${Math.pow(2,t)} 0<=z<=25 `);this.z=t,this.x=e,this.y=r,this.key=eh(0,t,t,e,r)}equals(t){return this.z===t.z&&this.x===t.x&&this.y===t.y}url(t,e,r){const n=(a=this.x,o=this.y,s=this.z,l=Ju(256*a,256*(o=Math.pow(2,s)-o-1),s),c=Ju(256*(a+1),256*(o+1),s),l[0]+\",\"+l[1]+\",\"+c[0]+\",\"+c[1]),i=function(t,e,r){let n,i=\"\";for(let a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);var a,o,s,l,c;return t[(this.x+this.y)%t.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,e>1?\"@2x\":\"\").replace(/{quadkey}/g,i).replace(/{bbox-epsg-3857}/g,n)}isChildOf(t){const e=this.z-t.z;return e>0&&t.x===this.x>>e&&t.y===this.y>>e}getTilePoint(t){const e=Math.pow(2,this.z);return new a((t.x*e-this.x)*Uo,(t.y*e-this.y)*Uo)}toString(){return`${this.z}/${this.x}/${this.y}`}}class Qu{constructor(t,e){this.wrap=t,this.canonical=e,this.key=eh(t,e.z,e.z,e.x,e.y)}}class th{constructor(t,e,r,n,i){if(t<r)throw new Error(`overscaledZ should be >= z; overscaledZ = ${t}; z = ${r}`);this.overscaledZ=t,this.wrap=e,this.canonical=new Ku(r,+n,+i),this.key=eh(e,t,r,n,i)}clone(){return new th(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)}scaledTo(t){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const e=this.canonical.z-t;return t>this.canonical.z?new th(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new th(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)}calculateScaledKey(t,e){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return!1;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return[new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))}wrapped(){return new th(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(t){return new th(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new Qu(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(t){return this.canonical.getTilePoint(new $u(t.x-this.wrap,t.y))}}function eh(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);const a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Mi(\"CanonicalTileID\",Ku),Mi(\"OverscaledTileID\",th,{omit:[\"posMatrix\"]});class rh{constructor(t,e,r,n=1,i=1,a=1,o=0){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&![\"mapbox\",\"terrarium\",\"custom\"].includes(r))return void T(`\"${r}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=e.height;const s=this.dim=e.height-2;switch(this.data=new Uint32Array(e.data.buffer),r){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=n,this.greenFactor=i,this.blueFactor=a,this.baseShift=o;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let t=0;t<s;t++)this.data[this._idx(-1,t)]=this.data[this._idx(0,t)],this.data[this._idx(s,t)]=this.data[this._idx(s-1,t)],this.data[this._idx(t,-1)]=this.data[this._idx(t,0)],this.data[this._idx(t,s)]=this.data[this._idx(t,s-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(s,-1)]=this.data[this._idx(s-1,0)],this.data[this._idx(-1,s)]=this.data[this._idx(0,s-1)],this.data[this._idx(s,s)]=this.data[this._idx(s-1,s-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let t=0;t<s;t++)for(let e=0;e<s;e++){const r=this.get(t,e);r>this.max&&(this.max=r),r<this.min&&(this.min=r)}}get(t,e){const r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return this.unpack(r[n],r[n+1],r[n+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e<o;e++)for(let r=n;r<i;r++)this.data[this._idx(r,e)]=t.data[this._idx(r+s,e+l)]}}Mi(\"DEMData\",rh);class nh{constructor(t){this._stringToNumber={},this._numberToString=[];for(let e=0;e<t.length;e++){const r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}}encode(t){return this._stringToNumber[t]}decode(t){if(t>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${t} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[t]}}class ih{constructor(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i}get geometry(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(t){this._geometry=t}toJSON(){const t={geometry:this.geometry};for(const e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t}}class ah{constructor(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ki(Uo,16,0),this.grid3D=new ki(Uo,16,0),this.featureIndexArray=new Za,this.promoteId=e}insert(t,e,r,n,i,a){const o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);const s=a?this.grid3D:this.grid;for(let t=0;t<e.length;t++){const r=e[t],n=[1/0,1/0,-1/0,-1/0];for(let t=0;t<r.length;t++){const e=r[t];n[0]=Math.min(n[0],e.x),n[1]=Math.min(n[1],e.y),n[2]=Math.max(n[2],e.x),n[3]=Math.max(n[3],e.y)}n[0]<Uo&&n[1]<Uo&&n[2]>=0&&n[3]>=0&&s.insert(o,n[0],n[1],n[2],n[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Tl.VectorTile(new Uc(this.rawTileData)).layers,this.sourceLayerCoder=new nh(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(t,e,r,n){this.loadVTLayers();const i=t.params||{},o=Uo/t.tileSize/t.scale,s=zn(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=sh(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=sh(t.cameraQueryGeometry),p=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,((e,r,n,i)=>function(t,e,r,n,i){for(const a of t)if(e<=a.x&&r<=a.y&&n>=a.x&&i>=a.y)return!0;const o=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(const e of o)if(ns(t,e))return!0;for(let e=0;e<t.length-1;e++)if(is(t[e],t[e+1],o))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)));for(const t of p)h.push(t);h.sort(lh);const d={};let m;for(let a=0;a<h.length;a++){const c=h[a];if(c===m)continue;m=c;const u=this.featureIndexArray.get(c);let f=null;this.loadMatchingFeature(d,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,i.availableImages,e,r,n,((e,r,n)=>(f||(f=Ho(e)),r.queryIntersectsFeature(l,e,n,f,this.z,t.transform,o,t.pixelPosMatrix))))}return d}loadMatchingFeature(t,e,r,n,i,a,o,s,l,c,u){const h=this.bucketLayerIDs[e];if(a&&!function(t,e){for(let r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h))return;const f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.needGeometry){const t=Go(p,!0);if(!i.filter(new Hi(this.tileID.overscaledZ),t,this.tileID.canonical))return}else if(!i.filter(new Hi(this.tileID.overscaledZ),p))return;const d=this.getId(p,f);for(let e=0;e<h.length;e++){const r=h[e];if(a&&a.indexOf(r)<0)continue;const i=s[r];if(!i)continue;let f={};d&&c&&(f=c.getState(i.sourceLayer||\"_geojsonTileLayer\",d));const m=y({},l[r]);m.paint=oh(m.paint,i.paint,p,f,o),m.layout=oh(m.layout,i.layout,p,f,o);const g=!u||u(p,i,f);if(!g)continue;const v=new ih(p,this.z,this.x,this.y,d);v.layer=m;let x=t[r];void 0===x&&(x=t[r]=[]),x.push({featureIndex:n,feature:v,intersectionZ:g})}}lookupSymbolFeatures(t,e,r,n,i,a,o,s){const l={};this.loadVTLayers();const c=zn(i);for(const i of t)this.loadMatchingFeature(l,r,n,i,c,a,o,s,e);return l}hasLayer(t){for(const e of this.bucketLayerIDs)for(const r of e)if(t===r)return!0;return!1}getId(t,e){let r=t.id;if(this.promoteId){const n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];r=t.properties[n],\"boolean\"==typeof r&&(r=Number(r))}return r}}function oh(t,e,r,n,i){return x(t,((t,a)=>{const o=e instanceof Ki?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function sh(t){let e=1/0,r=1/0,n=-1/0,i=-1/0;for(const a of t)e=Math.min(e,a.x),r=Math.min(r,a.y),n=Math.max(n,a.x),i=Math.max(i,a.y);return{minX:e,minY:r,maxX:n,maxY:i}}function lh(t,e){return e-t}function ch(t,e,r,n,i){const o=[];for(let s=0;s<t.length;s++){const l=t[s];let c;for(let t=0;t<l.length-1;t++){let s=l[t],u=l[t+1];s.x<e&&u.x<e||(s.x<e?s=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round():u.x<e&&(u=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round()),s.y<r&&u.y<r||(s.y<r?s=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round():u.y<r&&(u=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round()),s.x>=n&&u.x>=n||(s.x>=n?s=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round():u.x>=n&&(u=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round()),s.y>=i&&u.y>=i||(s.y>=i?s=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round():u.y>=i&&(u=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round()),c&&s.equals(c[c.length-1])||(c=[s],o.push(c)),c.push(u)))))}}return o}Mi(\"FeatureIndex\",ah,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class uh extends a{constructor(t,e,r,n){super(t,e),this.angle=r,void 0!==n&&(this.segment=n)}clone(){return new uh(this.x,this.y,this.angle,this.segment)}}function hh(t,e,r,n,i){if(void 0===e.segment||0===r)return!0;let a=e,o=e.segment+1,s=0;for(;s>-r/2;){if(o--,o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;const l=[];let c=0;for(;s<r/2;){const e=t[o-1],r=t[o],a=t[o+1];if(!a)return!1;let u=e.angleTo(r)-r.angleTo(a);for(u=Math.abs((u+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:u}),c+=u;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=r.dist(a)}return!0}function fh(t){let e=0;for(let r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function ph(t,e,r){return t?.6*e*r:0}function dh(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function mh(t,e,r,n,i,a){const o=ph(r,i,a),s=dh(r,n)*a;let l=0;const c=fh(t)/2;for(let r=0;r<t.length-1;r++){const n=t[r],i=t[r+1],a=n.dist(i);if(l+a>c){const u=(c-l)/a,h=Pe.number(n.x,i.x,u),f=Pe.number(n.y,i.y,u),p=new uh(h,f,i.angleTo(n),r);return p._round(),!o||hh(t,p,s,o,e)?p:void 0}l+=a}}function gh(t,e,r,n,i,a,o,s,l){const c=ph(n,a,o),u=dh(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),yh(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}function yh(t,e,r,n,i,a,o,s,l){const c=a/2,u=fh(t);let h=0,f=e-r,p=[];for(let e=0;e<t.length-1;e++){const o=t[e],s=t[e+1],d=o.dist(s),m=s.angleTo(o);for(;f+r<h+d;){f+=r;const g=(f-h)/d,y=Pe.number(o.x,s.x,g),v=Pe.number(o.y,s.y,g);if(y>=0&&y<l&&v>=0&&v<l&&f-c>=0&&f+c<=u){const r=new uh(y,v,m,e);r._round(),n&&!hh(t,r,a,n,i)||p.push(r)}}h+=d}return s||p.length||o||(p=yh(t,h/2,r,n,i,a,o,!0,l)),p}Mi(\"Anchor\",uh);const vh=Yc;function xh(t,e,r,n){const i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*vh,c=o.paddedRect.h-2*vh;let u={x1:t.left,y1:t.top,x2:t.right,y2:t.bottom};const h=o.stretchX||[[0,l]],f=o.stretchY||[[0,c]],p=(t,e)=>t+e[1]-e[0],d=h.reduce(p,0),m=f.reduce(p,0),g=l-d,y=c-m;let v=0,x=d,_=0,b=m,w=0,T=g,k=0,A=y;if(o.content&&n){const e=o.content,r=e[2]-e[0],n=e[3]-e[1];(o.textFitWidth||o.textFitHeight)&&(u=du(t)),v=_h(h,0,e[0]),_=_h(f,0,e[1]),x=_h(h,e[0],e[2]),b=_h(f,e[1],e[3]),w=e[0]-v,k=e[1]-_,T=r-x,A=n-b}const M=u.x1,S=u.y1,E=u.x2-M,C=u.y2-S,L=(t,n,i,l)=>{const c=wh(t.stretch-v,x,E,M),u=Th(t.fixed-w,T,t.stretch,d),h=wh(n.stretch-_,b,C,S),f=Th(n.fixed-k,A,n.stretch,m),p=wh(i.stretch-v,x,E,M),g=Th(i.fixed-w,T,i.stretch,d),y=wh(l.stretch-_,b,C,S),L=Th(l.fixed-k,A,l.stretch,m),I=new a(c,h),P=new a(p,h),z=new a(p,y),O=new a(c,y),D=new a(u/s,f/s),R=new a(g/s,L/s),F=e*Math.PI/180;if(F){const t=Math.sin(F),e=Math.cos(F),r=[e,-t,t,e];I._matMult(r),P._matMult(r),O._matMult(r),z._matMult(r)}const B=t.stretch+t.fixed,N=i.stretch+i.fixed,j=n.stretch+n.fixed,U=l.stretch+l.fixed;return{tl:I,tr:P,bl:O,br:z,tex:{x:o.paddedRect.x+vh+B,y:o.paddedRect.y+vh+j,w:N-B,h:U-j},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:R,minFontScaleX:T/s/E,minFontScaleY:A/s/C,isSDF:r}};if(n&&(o.stretchX||o.stretchY)){const t=bh(h,g,d),e=bh(f,y,m);for(let r=0;r<t.length-1;r++){const n=t[r],a=t[r+1];for(let t=0;t<e.length-1;t++){const r=e[t],o=e[t+1];i.push(L(n,r,a,o))}}}else i.push(L({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return i}function _h(t,e,r){let n=0;for(const i of t)n+=Math.max(e,Math.min(r,i[1]))-Math.max(e,Math.min(r,i[0]));return n}function bh(t,e,r){const n=[{fixed:-vh,stretch:0}];for(const[e,r]of t){const t=n[n.length-1];n.push({fixed:e-t.stretch,stretch:t.stretch}),n.push({fixed:e-t.stretch,stretch:t.stretch+(r-e)})}return n.push({fixed:e+vh,stretch:r}),n}function wh(t,e,r,n){return t/e*r+n}function Th(t,e,r,n){return t-e*r/n}class kh{constructor(t,e,r,n,i,o,s,l,c,u){var h;if(this.boxStartIndex=t.length,c){let t=o.top,e=o.bottom;const r=o.collisionPadding;r&&(t-=r[1],e+=r[3]);let n=e-t;n>0&&(n=Math.max(10,n),this.circleDiameter=n)}else{const c=(null===(h=o.image)||void 0===h?void 0:h.content)&&(o.image.textFitWidth||o.image.textFitHeight)?du(o):{x1:o.left,y1:o.top,x2:o.right,y2:o.bottom};c.y1=c.y1*s-l[0],c.y2=c.y2*s+l[2],c.x1=c.x1*s-l[3],c.x2=c.x2*s+l[1];const f=o.collisionPadding;if(f&&(c.x1-=f[0]*s,c.y1-=f[1]*s,c.x2+=f[2]*s,c.y2+=f[3]*s),u){const t=new a(c.x1,c.y1),e=new a(c.x2,c.y1),r=new a(c.x1,c.y2),n=new a(c.x2,c.y2),i=u*Math.PI/180;t._rotate(i),e._rotate(i),r._rotate(i),n._rotate(i),c.x1=Math.min(t.x,e.x,r.x,n.x),c.x2=Math.max(t.x,e.x,r.x,n.x),c.y1=Math.min(t.y,e.y,r.y,n.y),c.y2=Math.max(t.y,e.y,r.y,n.y)}t.emplaceBack(e.x,e.y,c.x1,c.y1,c.x2,c.y2,r,n,i)}this.boxEndIndex=t.length}}class Ah{constructor(t=[],e=((t,e)=>t<e?-1:t>e?1:0)){if(this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(let t=(this.length>>1)-1;t>=0;t--)this._down(t)}push(t){this.data.push(t),this._up(this.length++)}pop(){if(0===this.length)return;const t=this.data[0],e=this.data.pop();return--this.length>0&&(this.data[0]=e,this._down(0)),t}peek(){return this.data[0]}_up(t){const{data:e,compare:r}=this,n=e[t];for(;t>0;){const i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n}_down(t){const{data:e,compare:r}=this,n=this.length>>1,i=e[t];for(;t<n;){let n=1+(t<<1);const a=n+1;if(a<this.length&&r(e[a],e[n])<0&&(n=a),r(e[n],i)>=0)break;e[t]=e[n],t=n}e[t]=i}}function Mh(t,e=1,r=!1){let n=1/0,i=1/0,o=-1/0,s=-1/0;const l=t[0];for(let t=0;t<l.length;t++){const e=l[t];(!t||e.x<n)&&(n=e.x),(!t||e.y<i)&&(i=e.y),(!t||e.x>o)&&(o=e.x),(!t||e.y>s)&&(s=e.y)}const c=o-n,u=s-i,h=Math.min(c,u);let f=h/2;const p=new Ah([],Sh);if(0===h)return new a(n,i);for(let e=n;e<o;e+=h)for(let 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u=3===n?l.length-1:l.length,h=0;h<u;h++){1===h&&1!==n&&e.writeVarint(M(2,u-1));var f=l[h].x-i,p=l[h].y-a;e.writeVarint(S(f)),e.writeVarint(S(p)),i+=f,a+=p}3===n&&e.writeVarint(M(7,1))}}function C(t,e){var r=typeof t;\"string\"===r?e.writeStringField(1,t):\"boolean\"===r?e.writeBooleanField(7,t):\"number\"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}d.exports=w,d.exports.fromVectorTileJs=w,d.exports.fromGeojsonVt=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new b(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return w({layers:r})},d.exports.GeoJSONWrapper=b;var L=d.exports,I=t.bx(L);const P={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:t=>t},z=Math.fround||(O=new Float32Array(1),t=>(O[0]=+t,O[0]));var O;const D=3,R=5,F=6;class B{constructor(t){this.options=Object.assign(Object.create(P),t),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(t){const{log:e,minZoom:r,maxZoom:n}=this.options;e&&console.time(\"total time\");const i=`prepare ${t.length} points`;e&&console.time(i),this.points=t;const a=[];for(let e=0;e<t.length;e++){const r=t[e];if(!r.geometry)continue;const[n,i]=r.geometry.coordinates,o=z(U(n)),s=z(V(i));a.push(o,s,1/0,e,-1,1),this.options.reduce&&a.push(0)}let o=this.trees[n+1]=this._createTree(a);e&&console.timeEnd(i);for(let t=n;t>=r;t--){const r=+Date.now();o=this.trees[t]=this._createTree(this._cluster(o,t)),e&&console.log(\"z%d: %d clusters in %dms\",t,o.numItems,+Date.now()-r)}return e&&console.timeEnd(\"total time\"),this}getClusters(t,e){let r=((t[0]+180)%360+360)%360-180;const n=Math.max(-90,Math.min(90,t[1]));let i=180===t[2]?180:((t[2]+180)%360+360)%360-180;const a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){const t=this.getClusters([r,n,180,a],e),o=this.getClusters([-180,n,i,a],e);return t.concat(o)}const o=this.trees[this._limitZoom(e)],s=o.range(U(r),V(a),U(i),V(n)),l=o.data,c=[];for(const t of s){const e=this.stride*t;c.push(l[e+R]>1?N(l,e,this.clusterProps):this.points[l[e+D]])}return c}getChildren(t){const e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);const a=i.data;if(e*this.stride>=a.length)throw new Error(n);const o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=a[e*this.stride],l=a[e*this.stride+1],c=i.within(s,l,o),u=[];for(const e of c){const r=e*this.stride;a[r+4]===t&&u.push(a[r+R]>1?N(a,r,this.clusterProps):this.points[a[r+D]])}if(0===u.length)throw new Error(n);return u}getLeaves(t,e,r){e=e||10,r=r||0;const n=[];return this._appendLeaves(n,t,e,r,0),n}getTile(t,e,r){const n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),{extent:a,radius:o}=this.options,s=o/a,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.data,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.data,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.data,-1,r,i,u),u.features.length?u:null}getClusterExpansionZoom(t){let e=this._getOriginZoom(t)-1;for(;e<=this.options.maxZoom;){const r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e}_appendLeaves(t,e,r,n,i){const a=this.getChildren(e);for(const e of a){const a=e.properties;if(a&&a.cluster?i+a.point_count<=n?i+=a.point_count:i=this._appendLeaves(t,a.cluster_id,r,n,i):i<n?i++:t.push(e),t.length===r)break}return i}_createTree(e){const r=new t.aw(e.length/this.stride|0,this.options.nodeSize,Float32Array);for(let t=0;t<e.length;t+=this.stride)r.add(e[t],e[t+1]);return r.finish(),r.data=e,r}_addTileFeatures(t,e,r,n,i,a){for(const o of 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a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:t.length,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(const e of t)pt(o,e,a,i);return o}function pt(t,e,r,n){const i=e.geometry,a=e.type,o=[];if(t.minX=Math.min(t.minX,e.minX),t.minY=Math.min(t.minY,e.minY),t.maxX=Math.max(t.maxX,e.maxX),t.maxY=Math.max(t.maxY,e.maxY),\"Point\"===a||\"MultiPoint\"===a)for(let e=0;e<i.length;e+=3)o.push(i[e],i[e+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)dt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(let e=0;e<i.length;e++)dt(o,i[e],t,r,\"Polygon\"===a,0===e);else if(\"MultiPolygon\"===a)for(let e=0;e<i.length;e++){const n=i[e];for(let e=0;e<n.length;e++)dt(o,n[e],t,r,!0,0===e)}if(o.length){let r=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){r={};for(const t in e.tags)r[t]=e.tags[t];r.mapbox_clip_start=i.start/i.size,r.mapbox_clip_end=i.end/i.size}const s={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:r};null!==e.id&&(s.id=e.id),t.features.push(s)}}function dt(t,e,r,n,i,a){const o=n*n;if(n>0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;t<e.length;t+=3)(0===n||e[t+2]>o)&&(r.numSimplified++,s.push(e[t],e[t+1])),r.numPoints++;i&&function(t,e){let r=0;for(let e=0,n=t.length,i=n-2;e<n;i=e,e+=2)r+=(t[e]-t[i])*(t[e+1]+t[i+1]);if(r>0===e)for(let e=0,r=t.length;e<r/2;e+=2){const n=t[e],i=t[e+1];t[e]=t[r-2-e],t[e+1]=t[r-1-e],t[r-2-e]=n,t[r-1-e]=i}}(s,a),t.push(s)}const mt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class gt{constructor(t,e){const r=(e=this.options=function(t,e){for(const r in e)t[r]=e[r];return t}(Object.create(mt),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let n=function(t,e){const r=[];if(\"FeatureCollection\"===t.type)for(let n=0;n<t.features.length;n++)Y(r,t.features[n],e,n);else\"Feature\"===t.type?Y(r,t,e):Y(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),n=function(t,e){const r=e.buffer/e.extent;let n=t;const i=tt(t,1,-1-r,r,0,-1,2,e),a=tt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=tt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=lt(i,1).concat(n)),a&&(n=n.concat(lt(a,-1)))),n}(n,e),n.length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(t,e,r,n,i,a,o){const s=[t,e,r,n],l=this.options,c=l.debug;for(;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();const u=1<<e,h=yt(e,r,n);let f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=ft(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));const t=`z${e}`;this.stats[t]=(this.stats[t]||0)+1,this.total++}if(f.source=t,null==i){if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue}else{if(e===l.maxZoom||e===i)continue;if(null!=i){const t=i-e;if(r!==a>>t||n!==o>>t)continue}}if(f.source=null,0===t.length)continue;c>1&&console.time(\"clipping\");const p=.5*l.buffer/l.extent,d=.5-p,m=.5+p,g=1+p;let y=null,v=null,x=null,_=null,b=tt(t,u,r-p,r+m,0,f.minX,f.maxX,l),w=tt(t,u,r+d,r+g,0,f.minX,f.maxX,l);t=null,b&&(y=tt(b,u,n-p,n+m,1,f.minY,f.maxY,l),v=tt(b,u,n+d,n+g,1,f.minY,f.maxY,l),b=null),w&&(x=tt(w,u,n-p,n+m,1,f.minY,f.maxY,l),_=tt(w,u,n+d,n+g,1,f.minY,f.maxY,l),w=null),c>1&&console.timeEnd(\"clipping\"),s.push(y||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(x||[],e+1,2*r+1,2*n),s.push(_||[],e+1,2*r+1,2*n+1)}}getTile(t,e,r){t=+t,e=+e,r=+r;const n=this.options,{extent:i,debug:a}=n;if(t<0||t>24)return null;const o=1<<t,s=yt(t,e=e+o&o-1,r);if(this.tiles[s])return ut(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);let l,c=t,u=e,h=r;for(;!l&&c>0;)c--,u>>=1,h>>=1,l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&(console.log(\"found parent tile z%d-%d-%d\",c,u,h),console.time(\"drilling down\")),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ut(this.tiles[s],i):null):null}}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function vt(t,e){return e?t.properties[e]:t.id}function xt(t,e){if(null==t)return!0;if(\"Feature\"===t.type)return null!=vt(t,e);if(\"FeatureCollection\"===t.type){const r=new Set;for(const n of t.features){const t=vt(n,e);if(null==t)return!1;if(r.has(t))return!1;r.add(t)}return!0}return!1}function _t(t,e){const r=new Map;if(null==t);else if(\"Feature\"===t.type)r.set(vt(t,e),t);else for(const n of t.features)r.set(vt(n,e),n);return r}class bt extends a{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(e,r){return t._(this,void 0,void 0,(function*(){const t=e.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");const r=this._geoJSONIndex.getTile(t.z,t.x,t.y);if(!r)return null;const n=new p(r.features);let i=I(n);return 0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),{vectorTile:n,rawData:i.buffer}}))}loadData(e){return t._(this,void 0,void 0,(function*(){var r;null===(r=this._pendingRequest)||void 0===r||r.abort();const n=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.bu(e.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(e,this._pendingRequest),this._geoJSONIndex=e.cluster?new B(function({superclusterOptions:e,clusterProperties:r}){if(!r||!e)return e;const n={},i={},a={accumulated:null,zoom:0},o={properties:null},s=Object.keys(r);for(const e of s){const[a,o]=r[e],s=t.bB(o),l=t.bB(\"string\"==typeof a?[a,[\"accumulated\"],[\"get\",e]]:a);n[e]=s.value,i[e]=l.value}return e.map=t=>{o.properties=t;const e={};for(const t of s)e[t]=n[t].evaluate(a,o);return e},e.reduce=(t,e)=>{o.properties=e;for(const e of s)a.accumulated=t[e],t[e]=i[e].evaluate(a,o)},e}(e)).load((yield this._pendingData).features):(i=yield this._pendingData,a=e.geojsonVtOptions,new gt(i,a)),this.loaded={};const r={};if(n){const t=n.finish();t&&(r.resourceTiming={},r.resourceTiming[e.source]=JSON.parse(JSON.stringify(t)))}return r}catch(e){if(delete this._pendingRequest,t.bA(e))return{abandoned:!0};throw e}var i,a}))}getData(){return t._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(t){const e=this.loaded,r=t.uid;return e&&e[r]?super.reloadTile(t):this.loadTile(t)}loadAndProcessGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){let n=yield this.loadGeoJSON(e,r);if(delete this._pendingRequest,\"object\"!=typeof n)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(u(n,!0),e.filter){const r=t.bB(e.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));const i=n.features.filter((t=>r.value.evaluate({zoom:0},t)));n={type:\"FeatureCollection\",features:i}}return n}))}loadGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){const{promoteId:n}=e;if(e.request){const i=yield t.h(e.request,r);return this._dataUpdateable=xt(i.data,n)?_t(i.data,n):void 0,i.data}if(\"string\"==typeof e.data)try{const t=JSON.parse(e.data);return this._dataUpdateable=xt(t,n)?_t(t,n):void 0,t}catch(t){throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`)}if(!e.dataDiff)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${e.source}`);return function(t,e,r){var n,i,a,o;if(e.removeAll&&t.clear(),e.remove)for(const r of e.remove)t.delete(r);if(e.add)for(const n of e.add){const e=vt(n,r);null!=e&&t.set(e,n)}if(e.update)for(const r of e.update){let e=t.get(r.id);if(null==e)continue;const s=r.newGeometry||r.removeAllProperties,l=!r.removeAllProperties&&((null===(n=r.removeProperties)||void 0===n?void 0:n.length)>0||(null===(i=r.addOrUpdateProperties)||void 0===i?void 0:i.length)>0);if((s||l)&&(e=Object.assign({},e),t.set(r.id,e),l&&(e.properties=Object.assign({},e.properties))),r.newGeometry&&(e.geometry=r.newGeometry),r.removeAllProperties)e.properties={};else if((null===(a=r.removeProperties)||void 0===a?void 0:a.length)>0)for(const t of r.removeProperties)Object.prototype.hasOwnProperty.call(e.properties,t)&&delete e.properties[t];if((null===(o=r.addOrUpdateProperties)||void 0===o?void 0:o.length)>0)for(const{key:t,value:n}of r.addOrUpdateProperties)e.properties[t]=n}}(this._dataUpdateable,e.dataDiff,n),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(e){return t._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(t){return this._geoJSONIndex.getClusterExpansionZoom(t.clusterId)}getClusterChildren(t){return this._geoJSONIndex.getChildren(t.clusterId)}getClusterLeaves(t){return this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset)}}class wt{constructor(e){this.self=e,this.actor=new t.F(e),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(t,e)=>{if(this.externalWorkerSourceTypes[t])throw new Error(`Worker source with name \"${t}\" already registered.`);this.externalWorkerSourceTypes[t]=e},this.self.addProtocol=t.bh,this.self.removeProtocol=t.bi,this.self.registerRTLTextPlugin=e=>{if(t.bC.isParsed())throw new Error(\"RTL text plugin already registered.\");t.bC.setMethods(e)},this.actor.registerMessageHandler(\"LDT\",((t,e)=>this._getDEMWorkerSource(t,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RDT\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(e,r.source).removeTile(r)})))),this.actor.registerMessageHandler(\"GCEZ\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterExpansionZoom(r)})))),this.actor.registerMessageHandler(\"GCC\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterChildren(r)})))),this.actor.registerMessageHandler(\"GCL\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterLeaves(r)})))),this.actor.registerMessageHandler(\"LD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadData(e))),this.actor.registerMessageHandler(\"GD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).getData())),this.actor.registerMessageHandler(\"LT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).reloadTile(e))),this.actor.registerMessageHandler(\"AT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).abortTile(e))),this.actor.registerMessageHandler(\"RMT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).removeTile(e))),this.actor.registerMessageHandler(\"RS\",((e,r)=>t._(this,void 0,void 0,(function*(){if(!this.workerSources[e]||!this.workerSources[e][r.type]||!this.workerSources[e][r.type][r.source])return;const t=this.workerSources[e][r.type][r.source];delete this.workerSources[e][r.type][r.source],void 0!==t.removeSource&&t.removeSource(r)})))),this.actor.registerMessageHandler(\"RM\",(e=>t._(this,void 0,void 0,(function*(){delete this.layerIndexes[e],delete this.availableImages[e],delete this.workerSources[e],delete this.demWorkerSources[e]})))),this.actor.registerMessageHandler(\"SR\",((e,r)=>t._(this,void 0,void 0,(function*(){this.referrer=r})))),this.actor.registerMessageHandler(\"SRPS\",((t,e)=>this._syncRTLPluginState(t,e))),this.actor.registerMessageHandler(\"IS\",((e,r)=>t._(this,void 0,void 0,(function*(){this.self.importScripts(r)})))),this.actor.registerMessageHandler(\"SI\",((t,e)=>this._setImages(t,e))),this.actor.registerMessageHandler(\"UL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).update(r.layers,r.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).replace(r)}))))}_setImages(e,r){return t._(this,void 0,void 0,(function*(){this.availableImages[e]=r;for(const t in this.workerSources[e]){const n=this.workerSources[e][t];for(const t in n)n[t].availableImages=r}}))}_syncRTLPluginState(e,r){return t._(this,void 0,void 0,(function*(){if(t.bC.isParsed())return t.bC.getState();if(\"loading\"!==r.pluginStatus)return t.bC.setState(r),r;const e=r.pluginURL;if(this.self.importScripts(e),t.bC.isParsed()){const r={pluginStatus:\"loaded\",pluginURL:e};return t.bC.setState(r),r}throw t.bC.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${e}`)}))}_getAvailableImages(t){let e=this.availableImages[t];return e||(e=[]),e}_getLayerIndex(t){let r=this.layerIndexes[t];return r||(r=this.layerIndexes[t]=new e),r}_getWorkerSource(t,e,r){if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){const n={sendAsync:(e,r)=>(e.targetMapId=t,this.actor.sendAsync(e,r))};switch(e){case\"vector\":this.workerSources[t][e][r]=new a(n,this._getLayerIndex(t),this._getAvailableImages(t));break;case\"geojson\":this.workerSources[t][e][r]=new bt(n,this._getLayerIndex(t),this._getAvailableImages(t));break;default:this.workerSources[t][e][r]=new this.externalWorkerSourceTypes[e](n,this._getLayerIndex(t),this._getAvailableImages(t))}}return this.workerSources[t][e][r]}_getDEMWorkerSource(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new o),this.demWorkerSources[t][e]}}return t.i(self)&&(self.worker=new wt(self)),wt})),r(\"index\",0,(function(t,e){var r=\"4.5.2\";let n,i;const a={now:\"undefined\"!=typeof performance&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync(t){return new Promise(((r,n)=>{const i=requestAnimationFrame(r);t.signal.addEventListener(\"abort\",(()=>{cancelAnimationFrame(i),n(e.c())}))}))},getImageData(t,e=0){return this.getImageCanvasContext(t).getImageData(-e,-e,t.width+2*e,t.height+2*e)},getImageCanvasContext(t){const e=window.document.createElement(\"canvas\"),r=e.getContext(\"2d\",{willReadFrequently:!0});if(!r)throw new Error(\"failed to create canvas 2d context\");return e.width=t.width,e.height=t.height,r.drawImage(t,0,0,t.width,t.height),r},resolveURL(t){return n||(n=document.createElement(\"a\")),n.href=t,n.href},hardwareConcurrency:\"undefined\"!=typeof navigator&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return!!matchMedia&&(null==i&&(i=matchMedia(\"(prefers-reduced-motion: reduce)\")),i.matches)}};class o{static testProp(t){if(!o.docStyle)return t[0];for(let e=0;e<t.length;e++)if(t[e]in o.docStyle)return t[e];return t[0]}static create(t,e,r){const n=window.document.createElement(t);return void 0!==e&&(n.className=e),r&&r.appendChild(n),n}static createNS(t,e){return window.document.createElementNS(t,e)}static disableDrag(){o.docStyle&&o.selectProp&&(o.userSelect=o.docStyle[o.selectProp],o.docStyle[o.selectProp]=\"none\")}static enableDrag(){o.docStyle&&o.selectProp&&(o.docStyle[o.selectProp]=o.userSelect)}static setTransform(t,e){t.style[o.transformProp]=e}static addEventListener(t,e,r,n={}){\"passive\"in n?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)}static removeEventListener(t,e,r,n={}){\"passive\"in n?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)}static suppressClickInternal(t){t.preventDefault(),t.stopPropagation(),window.removeEventListener(\"click\",o.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",o.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",o.suppressClickInternal,!0)}),0)}static getScale(t){const e=t.getBoundingClientRect();return{x:e.width/t.offsetWidth||1,y:e.height/t.offsetHeight||1,boundingClientRect:e}}static getPoint(t,r,n){const i=r.boundingClientRect;return new e.P((n.clientX-i.left)/r.x-t.clientLeft,(n.clientY-i.top)/r.y-t.clientTop)}static mousePos(t,e){const r=o.getScale(t);return o.getPoint(t,r,e)}static touchPos(t,e){const r=[],n=o.getScale(t);for(let i=0;i<e.length;i++)r.push(o.getPoint(t,n,e[i]));return r}static mouseButton(t){return t.button}static remove(t){t.parentNode&&t.parentNode.removeChild(t)}}o.docStyle=\"undefined\"!=typeof window&&window.document&&window.document.documentElement.style,o.selectProp=o.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),o.transformProp=o.testProp([\"transform\",\"WebkitTransform\"]);const s={supported:!1,testSupport:function(t){!u&&c&&(h?f(t):l=t)}};let l,c,u=!1,h=!1;function f(t){const e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,c),t.isContextLost())return;s.supported=!0}catch(t){}t.deleteTexture(e),u=!0}var p;\"undefined\"!=typeof document&&(c=document.createElement(\"img\"),c.onload=()=>{l&&f(l),l=null,h=!0},c.onerror=()=>{u=!0,l=null},c.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(t){let r,n,i,a;t.resetRequestQueue=()=>{r=[],n=0,i=0,a={}},t.addThrottleControl=t=>{const e=i++;return a[e]=t,e},t.removeThrottleControl=t=>{delete a[t],l()};t.getImage=(t,n,i=!0)=>new Promise(((a,o)=>{s.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),e.e(t,{type:\"image\"});const c={abortController:n,requestParameters:t,supportImageRefresh:i,state:\"queued\",onError:t=>{o(t)},onSuccess:t=>{a(t)}};r.push(c),l()}));const o=t=>e._(this,void 0,void 0,(function*(){t.state=\"running\";const{requestParameters:r,supportImageRefresh:i,onError:a,onSuccess:o,abortController:s}=t,u=!1===i&&!e.i(self)&&!e.g(r.url)&&(!r.headers||Object.keys(r.headers).reduce(((t,e)=>t&&\"accept\"===e),!0));n++;const h=u?c(r,s):e.m(r,s);try{const r=yield h;delete t.abortController,t.state=\"completed\",r.data instanceof HTMLImageElement||e.b(r.data)?o(r):r.data&&o({data:yield(f=r.data,\"function\"==typeof createImageBitmap?e.d(f):e.f(f)),cacheControl:r.cacheControl,expires:r.expires})}catch(e){delete t.abortController,a(e)}finally{n--,l()}var f})),l=()=>{const t=(()=>{for(const t of Object.keys(a))if(a[t]())return!0;return!1})()?e.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:e.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let e=n;e<t&&r.length>0;e++){const t=r.shift();t.abortController.signal.aborted?e--:o(t)}},c=(t,r)=>new Promise(((n,i)=>{const a=new Image,o=t.url,s=t.credentials;s&&\"include\"===s?a.crossOrigin=\"use-credentials\":(s&&\"same-origin\"===s||!e.s(o))&&(a.crossOrigin=\"anonymous\"),r.signal.addEventListener(\"abort\",(()=>{a.src=\"\",i(e.c())})),a.fetchPriority=\"high\",a.onload=()=>{a.onerror=a.onload=null,n({data:a})},a.onerror=()=>{a.onerror=a.onload=null,r.signal.aborted||i(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},a.src=o}))}(p||(p={})),p.resetRequestQueue();class d{constructor(t){this._transformRequestFn=t}transformRequest(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}}setTransformRequest(t){this._transformRequestFn=t}}function m(t){var r=new e.A(3);return r[0]=t[0],r[1]=t[1],r[2]=t[2],r}var g,y=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};g=new e.A(3),e.A!=Float32Array&&(g[0]=0,g[1]=0,g[2]=0);var v=function(t){var e=t[0],r=t[1];return e*e+r*r};function x(t){const e=[];if(\"string\"==typeof t)e.push({id:\"default\",url:t});else if(t&&t.length>0){const r=[];for(const{id:n,url:i}of t){const t=`${n}${i}`;-1===r.indexOf(t)&&(r.push(t),e.push({id:n,url:i}))}}return e}function _(t,e,r){const n=t.split(\"?\");return n[0]+=`${e}${r}`,n.join(\"?\")}function b(t,r,n,i){return e._(this,void 0,void 0,(function*(){const o=x(t),s=n>1?\"@2x\":\"\",l={},c={};for(const{id:t,url:n}of o){const a=r.transformRequest(_(n,s,\".json\"),\"SpriteJSON\");l[t]=e.h(a,i);const o=r.transformRequest(_(n,s,\".png\"),\"SpriteImage\");c[t]=p.getImage(o,i)}return yield Promise.all([...Object.values(l),...Object.values(c)]),function(t,r){return e._(this,void 0,void 0,(function*(){const e={};for(const n in t){e[n]={};const i=a.getImageCanvasContext((yield r[n]).data),o=(yield t[n]).data;for(const t in o){const{width:r,height:a,x:s,y:l,sdf:c,pixelRatio:u,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m}=o[t],g={width:r,height:a,x:s,y:l,context:i};e[n][t]={data:null,pixelRatio:u,sdf:c,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m,spriteData:g}}}return e}))}(l,c)}))}!function(){var t=new e.A(2);e.A!=Float32Array&&(t[0]=0,t[1]=0)}();class w{constructor(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)}update(t,r,n){const{width:i,height:a}=t,o=!(this.size&&this.size[0]===i&&this.size[1]===a||n),{context:s}=this,{gl:l}=s;if(this.useMipmap=Boolean(r&&r.useMipmap),l.bindTexture(l.TEXTURE_2D,this.texture),s.pixelStoreUnpackFlipY.set(!1),s.pixelStoreUnpack.set(1),s.pixelStoreUnpackPremultiplyAlpha.set(this.format===l.RGBA&&(!r||!1!==r.premultiply)),o)this.size=[i,a],t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texImage2D(l.TEXTURE_2D,0,this.format,this.format,l.UNSIGNED_BYTE,t):l.texImage2D(l.TEXTURE_2D,0,this.format,i,a,0,this.format,l.UNSIGNED_BYTE,t.data);else{const{x:r,y:o}=n||{x:0,y:0};t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texSubImage2D(l.TEXTURE_2D,0,r,o,l.RGBA,l.UNSIGNED_BYTE,t):l.texSubImage2D(l.TEXTURE_2D,0,r,o,i,a,l.RGBA,l.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&l.generateMipmap(l.TEXTURE_2D)}bind(t,e,r){const{context:n}=this,{gl:i}=n;i.bindTexture(i.TEXTURE_2D,this.texture),r!==i.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=i.LINEAR),t!==this.filter&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,e),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,e),this.wrap=e)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){const{gl:t}=this.context;t.deleteTexture(this.texture),this.texture=null}}function T(t){const{userImage:e}=t;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}class k extends e.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new e.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(t){if(this.loaded!==t&&(this.loaded=t,t)){for(const{ids:t,promiseResolve:e}of this.requestors)e(this._getImagesForIds(t));this.requestors=[]}}getImage(t){const r=this.images[t];if(r&&!r.data&&r.spriteData){const t=r.spriteData;r.data=new e.R({width:t.width,height:t.height},t.context.getImageData(t.x,t.y,t.width,t.height).data),r.spriteData=null}return r}addImage(t,e){if(this.images[t])throw new Error(`Image id ${t} already exist, use updateImage instead`);this._validate(t,e)&&(this.images[t]=e)}_validate(t,r){let n=!0;const i=r.data||r.spriteData;return this._validateStretch(r.stretchX,i&&i.width)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchX\" value`))),n=!1),this._validateStretch(r.stretchY,i&&i.height)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchY\" value`))),n=!1),this._validateContent(r.content,r)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"content\" value`))),n=!1),n}_validateStretch(t,e){if(!t)return!0;let r=0;for(const n of t){if(n[0]<r||n[1]<n[0]||e<n[1])return!1;r=n[1]}return!0}_validateContent(t,e){if(!t)return!0;if(4!==t.length)return!1;const r=e.spriteData,n=r&&r.width||e.data.width,i=r&&r.height||e.data.height;return!(t[0]<0||n<t[0]||t[1]<0||i<t[1]||t[2]<0||n<t[2]||t[3]<0||i<t[3]||t[2]<t[0]||t[3]<t[1])}updateImage(t,e,r=!0){const n=this.getImage(t);if(r&&(n.data.width!==e.data.width||n.data.height!==e.data.height))throw new Error(`size mismatch between old image (${n.data.width}x${n.data.height}) and new image (${e.data.width}x${e.data.height}).`);e.version=n.version+1,this.images[t]=e,this.updatedImages[t]=!0}removeImage(t){const e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(t){return new Promise(((e,r)=>{let n=!0;if(!this.isLoaded())for(const e of t)this.images[e]||(n=!1);this.isLoaded()||n?e(this._getImagesForIds(t)):this.requestors.push({ids:t,promiseResolve:e})}))}_getImagesForIds(t){const r={};for(const n of t){let t=this.getImage(n);t||(this.fire(new e.k(\"styleimagemissing\",{id:n})),t=this.getImage(n)),t?r[n]={data:t.data.clone(),pixelRatio:t.pixelRatio,sdf:t.sdf,version:t.version,stretchX:t.stretchX,stretchY:t.stretchY,content:t.content,textFitWidth:t.textFitWidth,textFitHeight:t.textFitHeight,hasRenderCallback:Boolean(t.userImage&&t.userImage.render)}:e.w(`Image \"${n}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return r}getPixelSize(){const{width:t,height:e}=this.atlasImage;return{width:t,height:e}}getPattern(t){const r=this.patterns[t],n=this.getImage(t);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{const r={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new e.I(r,n);this.patterns[t]={bin:r,position:i}}return this._updatePatternAtlas(),this.patterns[t].position}bind(t){const e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new w(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE)}_updatePatternAtlas(){const t=[];for(const e in this.patterns)t.push(this.patterns[e].bin);const{w:r,h:n}=e.p(t),i=this.atlasImage;i.resize({width:r||1,height:n||1});for(const t in this.patterns){const{bin:r}=this.patterns[t],n=r.x+1,a=r.y+1,o=this.getImage(t).data,s=o.width,l=o.height;e.R.copy(o,i,{x:0,y:0},{x:n,y:a},{width:s,height:l}),e.R.copy(o,i,{x:0,y:l-1},{x:n,y:a-1},{width:s,height:1}),e.R.copy(o,i,{x:0,y:0},{x:n,y:a+l},{width:s,height:1}),e.R.copy(o,i,{x:s-1,y:0},{x:n-1,y:a},{width:1,height:l}),e.R.copy(o,i,{x:0,y:0},{x:n+s,y:a},{width:1,height:l})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(t){for(const r of t){if(this.callbackDispatchedThisFrame[r])continue;this.callbackDispatchedThisFrame[r]=!0;const t=this.getImage(r);t||e.w(`Image with ID: \"${r}\" was not found`),T(t)&&this.updateImage(r,t)}}}const A=1e20;function M(t,e,r,n,i,a,o,s,l){for(let c=e;c<e+n;c++)S(t,r*a+c,a,i,o,s,l);for(let c=r;c<r+i;c++)S(t,c*a+e,1,n,o,s,l)}function S(t,e,r,n,i,a,o){a[0]=0,o[0]=-A,o[1]=A,i[0]=t[e];for(let s=1,l=0,c=0;s<n;s++){i[s]=t[e+s*r];const n=s*s;do{const t=a[l];c=(i[s]-i[t]+n-t*t)/(s-t)/2}while(c<=o[l]&&--l>-1);l++,a[l]=s,o[l]=c,o[l+1]=A}for(let s=0,l=0;s<n;s++){for(;o[l+1]<s;)l++;const n=a[l],c=s-n;t[e+s*r]=i[n]+c*c}}class E{constructor(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}}setURL(t){this.url=t}getGlyphs(t){return e._(this,void 0,void 0,(function*(){const e=[];for(const r in t)for(const n of t[r])e.push(this._getAndCacheGlyphsPromise(r,n));const r=yield Promise.all(e),n={};for(const{stack:t,id:e,glyph:i}of r)n[t]||(n[t]={}),n[t][e]=i&&{id:i.id,bitmap:i.bitmap.clone(),metrics:i.metrics};return n}))}_getAndCacheGlyphsPromise(t,r){return e._(this,void 0,void 0,(function*(){let e=this.entries[t];e||(e=this.entries[t]={glyphs:{},requests:{},ranges:{}});let n=e.glyphs[r];if(void 0!==n)return{stack:t,id:r,glyph:n};if(n=this._tinySDF(e,t,r),n)return e.glyphs[r]=n,{stack:t,id:r,glyph:n};const i=Math.floor(r/256);if(256*i>65535)throw new Error(\"glyphs > 65535 not supported\");if(e.ranges[i])return{stack:t,id:r,glyph:n};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!e.requests[i]){const r=E.loadGlyphRange(t,i,this.url,this.requestManager);e.requests[i]=r}const a=yield e.requests[i];for(const t in a)this._doesCharSupportLocalGlyph(+t)||(e.glyphs[+t]=a[+t]);return e.ranges[i]=!0,{stack:t,id:r,glyph:a[r]||null}}))}_doesCharSupportLocalGlyph(t){return!!this.localIdeographFontFamily&&(e.u[\"CJK Unified Ideographs\"](t)||e.u[\"Hangul Syllables\"](t)||e.u.Hiragana(t)||e.u.Katakana(t))}_tinySDF(t,r,n){const i=this.localIdeographFontFamily;if(!i)return;if(!this._doesCharSupportLocalGlyph(n))return;let a=t.tinySDF;if(!a){let e=\"400\";/bold/i.test(r)?e=\"900\":/medium/i.test(r)?e=\"500\":/light/i.test(r)&&(e=\"200\"),a=t.tinySDF=new E.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:i,fontWeight:e})}const o=a.draw(String.fromCharCode(n));return{id:n,bitmap:new e.o({width:o.width||60,height:o.height||60},o.data),metrics:{width:o.glyphWidth/2||24,height:o.glyphHeight/2||24,left:o.glyphLeft/2+.5||0,top:o.glyphTop/2-27.5||-8,advance:o.glyphAdvance/2||24,isDoubleResolution:!0}}}}E.loadGlyphRange=function(t,r,n,i){return e._(this,void 0,void 0,(function*(){const a=256*r,o=a+255,s=i.transformRequest(n.replace(\"{fontstack}\",t).replace(\"{range}\",`${a}-${o}`),\"Glyphs\"),l=yield e.l(s,new AbortController);if(!l||!l.data)throw new Error(`Could not load glyph range. range: ${r}, ${a}-${o}`);const c={};for(const t of e.n(l.data))c[t.id]=t;return c}))},E.TinySDF=class{constructor({fontSize:t=24,buffer:e=3,radius:r=8,cutoff:n=.25,fontFamily:i=\"sans-serif\",fontWeight:a=\"normal\",fontStyle:o=\"normal\"}={}){this.buffer=e,this.cutoff=n,this.radius=r;const s=this.size=t+4*e,l=this._createCanvas(s),c=this.ctx=l.getContext(\"2d\",{willReadFrequently:!0});c.font=`${o} ${a} ${t}px ${i}`,c.textBaseline=\"alphabetic\",c.textAlign=\"left\",c.fillStyle=\"black\",this.gridOuter=new Float64Array(s*s),this.gridInner=new Float64Array(s*s),this.f=new Float64Array(s),this.z=new Float64Array(s+1),this.v=new Uint16Array(s)}_createCanvas(t){const e=document.createElement(\"canvas\");return e.width=e.height=t,e}draw(t){const{width:e,actualBoundingBoxAscent:r,actualBoundingBoxDescent:n,actualBoundingBoxLeft:i,actualBoundingBoxRight:a}=this.ctx.measureText(t),o=Math.ceil(r),s=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(a-i))),l=Math.min(this.size-this.buffer,o+Math.ceil(n)),c=s+2*this.buffer,u=l+2*this.buffer,h=Math.max(c*u,0),f=new Uint8ClampedArray(h),p={data:f,width:c,height:u,glyphWidth:s,glyphHeight:l,glyphTop:o,glyphLeft:0,glyphAdvance:e};if(0===s||0===l)return p;const{ctx:d,buffer:m,gridInner:g,gridOuter:y}=this;d.clearRect(m,m,s,l),d.fillText(t,m,m+o);const v=d.getImageData(m,m,s,l);y.fill(A,0,h),g.fill(0,0,h);for(let t=0;t<l;t++)for(let e=0;e<s;e++){const r=v.data[4*(t*s+e)+3]/255;if(0===r)continue;const n=(t+m)*c+e+m;if(1===r)y[n]=0,g[n]=A;else{const t=.5-r;y[n]=t>0?t*t:0,g[n]=t<0?t*t:0}}M(y,0,0,c,u,c,this.f,this.v,this.z),M(g,m,m,s,l,c,this.f,this.v,this.z);for(let t=0;t<h;t++){const e=Math.sqrt(y[t])-Math.sqrt(g[t]);f[t]=Math.round(255-255*(e/this.radius+this.cutoff))}return p}};class C{constructor(){this.specification=e.v.light.position}possiblyEvaluate(t,r){return e.y(t.expression.evaluate(r))}interpolate(t,r,n){return{x:e.z.number(t.x,r.x,n),y:e.z.number(t.y,r.y,n),z:e.z.number(t.z,r.z,n)}}}const L=\"-transition\";let I;class P extends e.E{constructor(t){super(),I=I||new e.q({anchor:new e.D(e.v.light.anchor),position:new C,color:new e.D(e.v.light.color),intensity:new e.D(e.v.light.intensity)}),this._transitionable=new e.T(I),this.setLight(t),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(t,r={}){if(!this._validate(e.r,t,r))for(const e in t){const r=t[e];e.endsWith(L)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n){return(!n||!1!==n.validate)&&e.t(this,t.call(e.x,{value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v}))}}const z=new e.q({\"sky-color\":new e.D(e.v.sky[\"sky-color\"]),\"horizon-color\":new e.D(e.v.sky[\"horizon-color\"]),\"fog-color\":new e.D(e.v.sky[\"fog-color\"]),\"fog-ground-blend\":new e.D(e.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new e.D(e.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new e.D(e.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new e.D(e.v.sky[\"atmosphere-blend\"])}),O=\"-transition\";class D extends e.E{constructor(t){super(),this._transitionable=new e.T(z),this.setSky(t),this._transitioning=this._transitionable.untransitioned()}setSky(t,r={}){if(!this._validate(e.B,t,r))for(const e in t){const r=t[e];e.endsWith(O)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}getSky(){return this._transitionable.serialize()}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n={}){return!1!==(null==n?void 0:n.validate)&&e.t(this,t.call(e.x,e.e({value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v})))}calculateFogBlendOpacity(t){return t<60?0:t<70?(t-60)/10:1}}class R{constructor(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(t,e){const r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]}getDashRanges(t,e,r){const n=[];let i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});let s=t[0];for(let e=1;e<t.length;e++){o=!o;const l=t[e];i=s*r,s+=l,a=s*r,n.push({left:i,right:a,isDash:o,zeroLength:0===l})}return n}addRoundDash(t,e,r){const n=e/2;for(let e=-r;e<=r;e++){const i=this.nextRow+r+e,a=this.width*i;let o=0,s=t[o];for(let i=0;i<this.width;i++){i/s.right>1&&(s=t[++o]);const l=Math.abs(i-s.left),c=Math.abs(i-s.right),u=Math.min(l,c);let h;const f=e/r*(n+1);if(s.isDash){const t=n-Math.abs(f);h=Math.sqrt(u*u+t*t)}else h=n-Math.sqrt(u*u+f*f);this.data[a+i]=Math.max(0,Math.min(255,h+128))}}}addRegularDash(t){for(let e=t.length-1;e>=0;--e){const r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}const e=t[0],r=t[t.length-1];e.isDash===r.isDash&&(e.left=r.left-this.width,r.right=e.right+this.width);const n=this.width*this.nextRow;let i=0,a=t[i];for(let e=0;e<this.width;e++){e/a.right>1&&(a=t[++i]);const r=Math.abs(e-a.left),o=Math.abs(e-a.right),s=Math.min(r,o),l=a.isDash?s:-s;this.data[n+e]=Math.max(0,Math.min(255,l+128))}}addDash(t,r){const n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return e.w(\"LineAtlas out of space\"),null;let a=0;for(let e=0;e<t.length;e++)a+=t[e];if(0!==a){const e=this.width/a,i=this.getDashRanges(t,this.width,e);r?this.addRoundDash(i,e,n):this.addRegularDash(i)}const o={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,o}bind(t){const e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))}}const F=\"maplibre_preloaded_worker_pool\";class B{constructor(){this.active={}}acquire(t){if(!this.workers)for(this.workers=[];this.workers.length<B.workerCount;)this.workers.push(new Worker(e.a.WORKER_URL));return this.active[t]=!0,this.workers.slice()}release(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((t=>{t.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[F]}numActive(){return Object.keys(this.active).length}}const N=Math.floor(a.hardwareConcurrency/2);let j,U;function V(){return j||(j=new B),j}B.workerCount=e.C(globalThis)?Math.max(Math.min(N,3),1):1;class q{constructor(t,r){this.workerPool=t,this.actors=[],this.currentActor=0,this.id=r;const n=this.workerPool.acquire(r);for(let t=0;t<n.length;t++){const i=n[t],a=new e.F(i,r);a.name=`Worker ${t}`,this.actors.push(a)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(t,e){const r=[];for(const n of this.actors)r.push(n.sendAsync({type:t,data:e}));return Promise.all(r)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(t=!0){this.actors.forEach((t=>{t.remove()})),this.actors=[],t&&this.workerPool.release(this.id)}registerMessageHandler(t,e){for(const r of this.actors)r.registerMessageHandler(t,e)}}function H(){return U||(U=new q(V(),e.G),U.registerMessageHandler(\"GR\",((t,r,n)=>e.m(r,n)))),U}function G(t,r){const n=e.H();return e.J(n,n,[1,1,0]),e.K(n,n,[.5*t.width,.5*t.height,1]),e.L(n,n,t.calculatePosMatrix(r.toUnwrapped()))}function Z(t,e,r,n,i,a){const o=function(t,e,r){if(t)for(const n of t){const t=e[n];if(t&&t.source===r&&\"fill-extrusion\"===t.type)return!0}else for(const t in e){const n=e[t];if(n.source===r&&\"fill-extrusion\"===n.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(W);const c=[];for(const n of l)c.push({wrappedTileID:n.tileID.wrapped().key,queryResults:n.tile.queryRenderedFeatures(e,r,t._state,n.queryGeometry,n.cameraQueryGeometry,n.scale,i,a,s,G(t.transform,n.tileID))});const u=function(t){const e={},r={};for(const n of t){const t=n.queryResults,i=n.wrappedTileID,a=r[i]=r[i]||{};for(const r in t){const n=t[r],i=a[r]=a[r]||{},o=e[r]=e[r]||[];for(const t of n)i[t.featureIndex]||(i[t.featureIndex]=!0,o.push(t))}}return e}(c);for(const e in u)u[e].forEach((e=>{const r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return u}function W(t,e){const r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}function Y(t,r,n){return e._(this,void 0,void 0,(function*(){let i=t;if(t.url?i=(yield e.h(r.transformRequest(t.url,\"Source\"),n)).data:yield a.frameAsync(n),!i)return null;const o=e.M(e.e(i,t),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in i&&i.vector_layers&&(o.vectorLayerIds=i.vector_layers.map((t=>t.id))),o}))}class X{constructor(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):Array.isArray(t)&&(4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1])))}setNorthEast(t){return this._ne=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}setSouthWest(t){return this._sw=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}extend(t){const r=this._sw,n=this._ne;let i,a;if(t instanceof e.N)i=t,a=t;else{if(!(t instanceof X)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){const e=t;return this.extend(X.convert(e))}{const r=t;return this.extend(e.N.convert(r))}}return t&&(\"lng\"in t||\"lon\"in t)&&\"lat\"in t?this.extend(e.N.convert(t)):this}if(i=t._sw,a=t._ne,!i||!a)return this}return r||n?(r.lng=Math.min(i.lng,r.lng),r.lat=Math.min(i.lat,r.lat),n.lng=Math.max(a.lng,n.lng),n.lat=Math.max(a.lat,n.lat)):(this._sw=new e.N(i.lng,i.lat),this._ne=new e.N(a.lng,a.lat)),this}getCenter(){return new e.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new e.N(this.getWest(),this.getNorth())}getSouthEast(){return new e.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(t){const{lng:r,lat:n}=e.N.convert(t),i=this._sw.lat<=n&&n<=this._ne.lat;let a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a}static convert(t){return t instanceof X?t:t?new X(t):t}static fromLngLat(t,r=0){const n=360*r/40075017,i=n/Math.cos(Math.PI/180*t.lat);return new X(new e.N(t.lng-i,t.lat-n),new e.N(t.lng+i,t.lat+n))}}class ${constructor(t,e,r){this.bounds=X.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24}validateBounds(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]}contains(t){const r=Math.pow(2,t.z),n=Math.floor(e.O(this.bounds.getWest())*r),i=Math.floor(e.Q(this.bounds.getNorth())*r),a=Math.ceil(e.O(this.bounds.getEast())*r),o=Math.ceil(e.Q(this.bounds.getSouth())*r);return t.x>=n&&t.x<a&&t.y>=i&&t.y<o}}class J extends e.E{constructor(t,r,n,i){if(super(),this.id=t,this.dispatcher=n,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=e.e({type:\"vector\"},r),this._collectResourceTiming=r.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}onAdd(t){this.map=t,this.load()}setSourceProperty(t){this._tileJSONRequest&&this._tileJSONRequest.abort(),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return e.e({},this._options)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),r={request:this.map._requestManager.transformRequest(e,\"Tile\"),uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,tileSize:this.tileSize*t.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};r.request.collectResourceTiming=this._collectResourceTiming;let n=\"RT\";if(t.actor&&\"expired\"!==t.state){if(\"loading\"===t.state)return new Promise(((e,r)=>{t.reloadPromise={resolve:e,reject:r}}))}else t.actor=this.dispatcher.getActor(),n=\"LT\";t.abortController=new AbortController;try{const e=yield t.actor.sendAsync({type:n,data:r},t.abortController);if(delete t.abortController,t.aborted)return;this._afterTileLoadWorkerResponse(t,e)}catch(e){if(delete t.abortController,t.aborted)return;if(e&&404!==e.status)throw e;this._afterTileLoadWorkerResponse(t,null)}}))}_afterTileLoadWorkerResponse(t,e){if(e&&e.resourceTiming&&(t.resourceTiming=e.resourceTiming),e&&this.map._refreshExpiredTiles&&t.setExpiryData(e),t.loadVectorData(e,this.map.painter),t.reloadPromise){const e=t.reloadPromise;t.reloadPromise=null,this.loadTile(t).then(e.resolve).catch(e.reject)}}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.actor&&(yield t.actor.sendAsync({type:\"AT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),t.actor&&(yield t.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class K extends e.E{constructor(t,r,n,i){super(),this.id=t,this.dispatcher=n,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=e.e({type:\"raster\"},r),e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\"]))}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}onAdd(t){this.map=t,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(t){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}serialize(){return e.e({},this._options)}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);t.abortController=new AbortController;try{const r=yield p.getImage(this.map._requestManager.transformRequest(e,\"Tile\"),t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const e=this.map.painter.context,n=e.gl,i=r.data;t.texture=this.map.painter.getTileTexture(i.width),t.texture?t.texture.update(i,{useMipmap:!0}):(t.texture=new w(e,i,n.RGBA,{useMipmap:!0}),t.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE,n.LINEAR_MIPMAP_NEAREST)),t.state=\"loaded\"}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController)}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.texture&&this.map.painter.saveTileTexture(t.texture)}))}hasTransition(){return!1}}class Q extends K{constructor(t,r,n,i){super(t,r,n,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.e({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\",this.redFactor=r.redFactor,this.greenFactor=r.greenFactor,this.blueFactor=r.blueFactor,this.baseShift=r.baseShift}loadTile(t){return e._(this,void 0,void 0,(function*(){const r=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),n=this.map._requestManager.transformRequest(r,\"Tile\");t.neighboringTiles=this._getNeighboringTiles(t.tileID),t.abortController=new AbortController;try{const r=yield p.getImage(n,t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){const n=r.data;this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const i=e.b(n)&&e.U()?n:yield this.readImageNow(n),a={type:this.type,uid:t.uid,source:this.id,rawImageData:i,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!t.actor||\"expired\"===t.state){t.actor=this.dispatcher.getActor();const e=yield t.actor.sendAsync({type:\"LDT\",data:a});t.dem=e,t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0,t.state=\"loaded\"}}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}readImageNow(t){return e._(this,void 0,void 0,(function*(){if(\"undefined\"!=typeof VideoFrame&&e.V()){const r=t.width+2,n=t.height+2;try{return new e.R({width:r,height:n},yield e.W(t,-1,-1,r,n))}catch(t){}}return a.getImageData(t,1)}))}_getNeighboringTiles(t){const r=t.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?t.wrap-1:t.wrap,o=(r.x+1+n)%n,s=r.x+1===n?t.wrap+1:t.wrap,l={};return l[new e.S(t.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&(yield t.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:t.uid,source:this.id}}))}))}}class tt extends e.E{constructor(t,r,n,i){super(),this.id=t,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=n.getActor(),this.setEventedParent(i),this._data=r.data,this._options=e.e({},r),this._collectResourceTiming=r.collectResourceTiming,void 0!==r.maxzoom&&(this.maxzoom=r.maxzoom),r.type&&(this.type=r.type),r.attribution&&(this.attribution=r.attribution),this.promoteId=r.promoteId;const a=e.X/this.tileSize;this.workerOptions=e.e({source:this.id,cluster:r.cluster||!1,geojsonVtOptions:{buffer:(void 0!==r.buffer?r.buffer:128)*a,tolerance:(void 0!==r.tolerance?r.tolerance:.375)*a,extent:e.X,maxZoom:this.maxzoom,lineMetrics:r.lineMetrics||!1,generateId:r.generateId||!1},superclusterOptions:{maxZoom:void 0!==r.clusterMaxZoom?r.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,r.clusterMinPoints||2),extent:e.X,radius:(r.clusterRadius||50)*a,log:!1,generateId:r.generateId||!1},clusterProperties:r.clusterProperties,filter:r.filter},r.workerOptions),\"string\"==typeof this.promoteId&&(this.workerOptions.promoteId=this.promoteId)}load(){return e._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(t){this.map=t,this.load()}setData(t){return this._data=t,this._updateWorkerData(),this}updateData(t){return this._updateWorkerData(t),this}getData(){return e._(this,void 0,void 0,(function*(){const t=e.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:t})}))}setClusterOptions(t){return this.workerOptions.cluster=t.cluster,t&&(void 0!==t.clusterRadius&&(this.workerOptions.superclusterOptions.radius=t.clusterRadius),void 0!==t.clusterMaxZoom&&(this.workerOptions.superclusterOptions.maxZoom=t.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(t){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterChildren(t){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterLeaves(t,e,r){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:t,limit:e,offset:r}})}_updateWorkerData(t){return e._(this,void 0,void 0,(function*(){const r=e.e({type:this.type},this.workerOptions);t?r.dataDiff=t:\"string\"==typeof this._data?(r.request=this.map._requestManager.transformRequest(a.resolveURL(this._data),\"Source\"),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new e.k(\"dataloading\",{dataType:\"source\"}));try{const t=yield this.actor.sendAsync({type:\"LD\",data:r});if(this._pendingLoads--,this._removed||t.abandoned)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));let n=null;t.resourceTiming&&t.resourceTiming[this.id]&&(n=t.resourceTiming[this.id].slice(0));const i={dataType:\"source\"};this._collectResourceTiming&&n&&n.length>0&&e.e(i,{resourceTiming:n}),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"metadata\"}))),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"content\"})))}catch(t){if(this._pendingLoads--,this._removed)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));this.fire(new e.j(t))}}))}loaded(){return 0===this._pendingLoads}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.actor?\"RT\":\"LT\";t.actor=this.actor;const r={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};t.abortController=new AbortController;const n=yield this.actor.sendAsync({type:e,data:r},t.abortController);delete t.abortController,t.unloadVectorData(),t.aborted||t.loadVectorData(n,this.map.painter,\"RT\"===e)}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.aborted=!0}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return e.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var et=e.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class rt extends e.E{constructor(t,e,r,n){super(),this.id=t,this.dispatcher=r,this.coordinates=e.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(n),this.options=e}load(t){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{const e=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,e&&e.data&&(this.image=e.data,t&&(this.coordinates=t),this._finishLoading())}catch(t){this._request=null,this._loaded=!0,this.fire(new e.j(t))}}))}loaded(){return this._loaded}updateImage(t){return t.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=t.url,this.load(t.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(t){this.map=t,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(t){this.coordinates=t;const r=t.map(e.Z.fromLngLat);this.tileID=function(t){let r=1/0,n=1/0,i=-1/0,a=-1/0;for(const e of t)r=Math.min(r,e.x),n=Math.min(n,e.y),i=Math.max(i,e.x),a=Math.max(a,e.y);const o=i-r,s=a-n,l=Math.max(o,s),c=Math.max(0,Math.floor(-Math.log(l)/Math.LN2)),u=Math.pow(2,c);return new e.a1(c,Math.floor((r+i)/2*u),Math.floor((n+a)/2*u))}(r),this.minzoom=this.maxzoom=this.tileID.z;const n=r.map((t=>this.tileID.getTilePoint(t)._round()));return this._boundsArray=new e.$,this._boundsArray.emplaceBack(n[0].x,n[0].y,0,0),this._boundsArray.emplaceBack(n[1].x,n[1].y,e.X,0),this._boundsArray.emplaceBack(n[3].x,n[3].y,0,e.X),this._boundsArray.emplaceBack(n[2].x,n[2].y,e.X,e.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(0===Object.keys(this.tiles).length||!this.image)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new w(t,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(t){return e._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={}):t.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class nt extends rt{constructor(t,e,r,n){super(t,e,r,n),this.roundZoom=!0,this.type=\"video\",this.options=e}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1;const t=this.options;this.urls=[];for(const e of t.urls)this.urls.push(this.map._requestManager.transformRequest(e,\"Source\").url);try{const t=yield e.a3(this.urls);if(this._loaded=!0,!t)return;this.video=t,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(t){this.fire(new e.j(t))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(t){if(this.video){const r=this.video.seekable;t<r.start(0)||t>r.end(0)?this.fire(new e.j(new e.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${r.start(0)} and ${r.end(0)}-second mark.`))):this.video.currentTime=t}}getVideo(){return this.video}onAdd(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(0===Object.keys(this.tiles).length||this.video.readyState<2)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new w(t,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class it extends rt{constructor(t,r,n,i){super(t,r,n,i),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((t=>!Array.isArray(t)||2!==t.length||t.some((t=>\"number\"!=typeof t))))||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new e.j(new e.a2(`sources.${t}`,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof HTMLCanvasElement||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new e.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())}))}getCanvas(){return this.canvas}onAdd(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),this._hasInvalidDimensions())return;if(0===Object.keys(this.tiles).length)return;const r=this.map.painter.context,n=r.gl;this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?(t||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new w(r,this.canvas,n.RGBA,{premultiply:!0});let i=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,i=!0)}i&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(const t of[this.canvas.width,this.canvas.height])if(isNaN(t)||t<=0)return!0;return!1}}const at={},ot=t=>{switch(t){case\"geojson\":return tt;case\"image\":return rt;case\"raster\":return K;case\"raster-dem\":return Q;case\"vector\":return J;case\"video\":return nt;case\"canvas\":return it}return at[t]};const st=\"RTLPluginLoaded\";class lt extends e.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=H()}_syncState(t){return this.status=t,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:t,pluginURL:this.url}).catch((t=>{throw this.status=\"error\",t}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(t){return e._(this,arguments,void 0,(function*(t,e=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=a.resolveURL(t),!this.url)throw new Error(`requested url ${t} is invalid`);if(\"unavailable\"===this.status){if(!e)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(\"requested\"===this.status)return this._requestImport()}))}_requestImport(){return e._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new e.k(st))}))}lazyLoad(){\"unavailable\"===this.status?this.status=\"requested\":\"deferred\"===this.status&&this._requestImport()}}let ct=null;function ut(){return ct||(ct=new lt),ct}class ht{constructor(t,r){this.timeAdded=0,this.fadeEndTime=0,this.tileID=t,this.uid=e.a4(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(t){const e=t+this.timeAdded;e<this.fadeEndTime||(this.fadeEndTime=e)}wasRequested(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state}clearTextures(t){this.demTexture&&t.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(t,r,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){const r={};if(!e)return r;for(const n of t){const t=n.layerIds.map((t=>e.getLayer(t))).filter(Boolean);if(0!==t.length){n.layers=t,n.stateDependentLayerIds&&(n.stateDependentLayers=n.stateDependentLayerIds.map((e=>t.filter((t=>t.id===e))[0])));for(const e of t)r[e.id]=n}}return r}(t.buckets,r.style),this.hasSymbolBuckets=!1;for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6){if(this.hasSymbolBuckets=!0,!n)break;r.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6&&r.hasRTLText){this.hasRTLText=!0,ut().lazyLoad();break}}this.queryPadding=0;for(const t in this.buckets){const e=this.buckets[t];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(t).queryRadius(e))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new e.a5}unloadVectorData(){for(const t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(t){return this.buckets[t.id]}upload(t){for(const e in this.buckets){const r=this.buckets[e];r.uploadPending()&&r.upload(t)}const e=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new w(t,this.imageAtlas.image,e.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new w(t,this.glyphAtlasImage,e.ALPHA),this.glyphAtlasImage=null)}prepare(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)}queryRenderedFeatures(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}}querySourceFeatures(t,r){const n=this.latestFeatureIndex;if(!n||!n.rawTileData)return;const i=n.loadVTLayers(),a=r&&r.sourceLayer?r.sourceLayer:\"\",o=i._geojsonTileLayer||i[a];if(!o)return;const s=e.a7(r&&r.filter),{z:l,x:c,y:u}=this.tileID.canonical,h={z:l,x:c,y:u};for(let r=0;r<o.length;r++){const i=o.feature(r);if(s.needGeometry){const t=e.a8(i,!0);if(!s.filter(new e.a9(this.tileID.overscaledZ),t,this.tileID.canonical))continue}else if(!s.filter(new e.a9(this.tileID.overscaledZ),i))continue;const f=n.getId(i,a),p=new e.aa(i,l,c,u,f);p.tile=h,t.push(p)}}hasData(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(t){const r=this.expirationTime;if(t.cacheControl){const r=e.ab(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){const t=Date.now();let e=!1;if(this.expirationTime>t)e=!1;else if(r)if(this.expirationTime<r)e=!0;else{const n=this.expirationTime-r;n?this.expirationTime=t+Math.max(n,3e4):e=!0}else e=!0;e?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)}setFeatureState(t,e){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||0===Object.keys(t).length)return;const r=this.latestFeatureIndex.loadVTLayers();for(const n in this.buckets){if(!e.style.hasLayer(n))continue;const i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(!o||!s||0===Object.keys(s).length)continue;i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});const l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}holdingForFade(){return void 0!==this.symbolFadeHoldUntil}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<a.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(t){this.symbolFadeHoldUntil=a.now()+t}setDependencies(t,e){const r={};for(const t of e)r[t]=!0;this.dependencies[t]=r}hasDependency(t,e){for(const r of t){const t=this.dependencies[r];if(t)for(const r of e)if(t[r])return!0}return!1}}class ft{constructor(t,e){this.max=t,this.onRemove=e,this.reset()}reset(){for(const t in this.data)for(const e of this.data[t])e.timeout&&clearTimeout(e.timeout),this.onRemove(e.value);return this.data={},this.order=[],this}add(t,e,r){const n=t.wrapped().key;void 0===this.data[n]&&(this.data[n]=[]);const i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((()=>{this.remove(t,i)}),r)),this.data[n].push(i),this.order.push(n),this.order.length>this.max){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}has(t){return t.wrapped().key in this.data}getAndRemove(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null}_getAndRemoveByKey(t){const e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value}getByKey(t){const e=this.data[t];return e?e[0].value:null}get(t){return this.has(t)?this.data[t.wrapped().key][0].value:null}remove(t,e){if(!this.has(t))return this;const r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this}setMaxSize(t){for(this.max=t;this.order.length>this.max;){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}filter(t){const e=[];for(const r in this.data)for(const n of this.data[r])t(n.value)||e.push(n);for(const t of e)this.remove(t.value.tileID,t)}}class pt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(t,r,n){const i=String(r);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][i]=this.stateChanges[t][i]||{},e.e(this.stateChanges[t][i],n),null===this.deletedStates[t]){this.deletedStates[t]={};for(const e in this.state[t])e!==i&&(this.deletedStates[t][e]=null)}else if(this.deletedStates[t]&&null===this.deletedStates[t][i]){this.deletedStates[t][i]={};for(const e in this.state[t][i])n[e]||(this.deletedStates[t][i][e]=null)}else for(const e in n)this.deletedStates[t]&&this.deletedStates[t][i]&&null===this.deletedStates[t][i][e]&&delete this.deletedStates[t][i][e]}removeFeatureState(t,e,r){if(null===this.deletedStates[t])return;const n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}getState(t,r){const n=String(r),i=this.state[t]||{},a=this.stateChanges[t]||{},o=e.e({},i[n],a[n]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){const e=this.deletedStates[t][r];if(null===e)return{};for(const t in e)delete o[t]}return o}initializeTileState(t,e){t.setFeatureState(this.state,e)}coalesceChanges(t,r){const n={};for(const t in this.stateChanges){this.state[t]=this.state[t]||{};const r={};for(const n in this.stateChanges[t])this.state[t][n]||(this.state[t][n]={}),e.e(this.state[t][n],this.stateChanges[t][n]),r[n]=this.state[t][n];n[t]=r}for(const t in this.deletedStates){this.state[t]=this.state[t]||{};const r={};if(null===this.deletedStates[t])for(const e in this.state[t])r[e]={},this.state[t][e]={};else for(const e in this.deletedStates[t]){if(null===this.deletedStates[t][e])this.state[t][e]={};else for(const r of Object.keys(this.deletedStates[t][e]))delete this.state[t][e][r];r[e]=this.state[t][e]}n[t]=n[t]||{},e.e(n[t],r)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(const e in t)t[e].setFeatureState(n,r)}}class dt extends e.E{constructor(t,e,r){super(),this.id=t,this.dispatcher=r,this.on(\"data\",(t=>this._dataHandler(t))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((t,e,r,n)=>{const i=new(ot(e.type))(t,e,r,n);if(i.id!==t)throw new Error(`Expected Source id to be ${t} instead of ${i.id}`);return i})(t,e,r,this),this._tiles={},this._cache=new ft(0,(t=>this._unloadTile(t))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new pt,this._didEmitContent=!1,this._updated=!1}onAdd(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._maxTileCacheZoomLevels=t?t._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(t)}onRemove(t){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(t)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;if(!(void 0===this.used&&void 0===this.usedForTerrain||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(const t in this._tiles){const e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;const t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(t,r,n){return e._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(t),this._tileLoaded(t,r,n)}catch(r){t.state=\"errored\",404!==r.status?this._source.fire(new e.j(r,{tile:t})):this.update(this.transform,this.terrain)}}))}_unloadTile(t){this._source.unloadTile&&this._source.unloadTile(t)}_abortTile(t){this._source.abortTile&&this._source.abortTile(t),this._source.fire(new e.k(\"dataabort\",{tile:t,coord:t.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(t){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(const e in this._tiles){const r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((t=>t.tileID)).sort(mt).map((t=>t.key))}getRenderableIds(t){const r=[];for(const e in this._tiles)this._isIdRenderable(e,t)&&r.push(this._tiles[e]);return t?r.sort(((t,r)=>{const n=t.tileID,i=r.tileID,a=new e.P(n.canonical.x,n.canonical.y)._rotate(this.transform.angle),o=new e.P(i.canonical.x,i.canonical.y)._rotate(this.transform.angle);return n.overscaledZ-i.overscaledZ||o.y-a.y||o.x-a.x})).map((t=>t.tileID.key)):r.map((t=>t.tileID)).sort(mt).map((t=>t.key))}hasRenderableParent(t){const e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)}_isIdRenderable(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(const t in this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")}}_reloadTile(t,r){return e._(this,void 0,void 0,(function*(){const e=this._tiles[t];e&&(\"loading\"!==e.state&&(e.state=r),yield this._loadTile(e,t,r))}))}_tileLoaded(t,r,n){t.timeAdded=a.now(),\"expired\"===n&&(t.refreshedUponExpiration=!0),this._setTileReloadTimer(r,t),\"raster-dem\"===this.getSource().type&&t.dem&&this._backfillDEM(t),this._state.initializeTileState(t,this.map?this.map.painter:null),t.aborted||this._source.fire(new e.k(\"data\",{dataType:\"source\",tile:t,coord:t.tileID}))}_backfillDEM(t){const e=this.getRenderableIds();for(let n=0;n<e.length;n++){const i=e[n];if(t.neighboringTiles&&t.neighboringTiles[i]){const e=this.getTileByID(i);r(t,e),r(e,t)}}function r(t,e){t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0;let r=e.tileID.canonical.x-t.tileID.canonical.x;const n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}}getTile(t){return this.getTileByID(t.key)}getTileByID(t){return this._tiles[t]}_retainLoadedChildren(t,e,r,n){for(const i in this._tiles){let a=this._tiles[i];if(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)continue;let o=a.tileID;for(;a&&a.tileID.overscaledZ>e+1;){const t=a.tileID.scaledTo(a.tileID.overscaledZ-1);a=this._tiles[t.key],a&&a.hasData()&&(o=t)}let s=o;for(;s.overscaledZ>e;)if(s=s.scaledTo(s.overscaledZ-1),t[s.key]){n[o.key]=o;break}}}findLoadedParent(t,e){if(t.key in this._loadedParentTiles){const r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(let r=t.overscaledZ-1;r>=e;r--){const e=t.scaledTo(r),n=this._getLoadedTile(e);if(n)return n}}findLoadedSibling(t){return this._getLoadedTile(t)}_getLoadedTile(t){const e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)}updateCacheSize(t){const r=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),n=null===this._maxTileCacheZoomLevels?e.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels,i=Math.floor(r*n),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(a)}handleWrapJump(t){const e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){const t={};for(const e in this._tiles){const n=this._tiles[e];n.tileID=n.tileID.unwrapTo(n.tileID.wrap+r),t[n.tileID.key]=n}this._tiles=t;for(const t in this._timers)clearTimeout(this._timers[t]),delete this._timers[t];for(const t in this._tiles){const e=this._tiles[t];this._setTileReloadTimer(t,e)}}}_updateCoveredAndRetainedTiles(t,e,r,n,i,o){const s={},l={},c=Object.keys(t),u=a.now();for(const r of c){const n=t[r],i=this._tiles[r];if(!i||0!==i.fadeEndTime&&i.fadeEndTime<=u)continue;const a=this.findLoadedParent(n,e),o=this.findLoadedSibling(n),c=a||o||null;c&&(this._addTile(c.tileID),s[c.tileID.key]=c.tileID),l[r]=n}this._retainLoadedChildren(l,n,r,t);for(const e in s)t[e]||(this._coveredTiles[e]=!0,t[e]=s[e]);if(o){const e={},r={};for(const t of i)this._tiles[t.key].hasData()?e[t.key]=t:r[t.key]=t;for(const n in r){const i=r[n].children(this._source.maxzoom);this._tiles[i[0].key]&&this._tiles[i[1].key]&&this._tiles[i[2].key]&&this._tiles[i[3].key]&&(e[i[0].key]=t[i[0].key]=i[0],e[i[1].key]=t[i[1].key]=i[1],e[i[2].key]=t[i[2].key]=i[2],e[i[3].key]=t[i[3].key]=i[3],delete r[n])}for(const n in r){const i=r[n],a=this.findLoadedParent(i,this._source.minzoom),o=this.findLoadedSibling(i),s=a||o||null;if(s){e[s.tileID.key]=t[s.tileID.key]=s.tileID;for(const t in e)e[t].isChildOf(s.tileID)&&delete e[t]}}for(const t in this._tiles)e[t]||(this._coveredTiles[t]=!0)}}update(t,r){if(!this._sourceLoaded||this._paused)return;let n;this.transform=t,this.terrain=r,this.updateCacheSize(t),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?n=t.getVisibleUnwrappedCoordinates(this._source.tileID).map((t=>new e.S(t.canonical.z,t.wrap,t.canonical.z,t.canonical.x,t.canonical.y))):(n=t.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:r}),this._source.hasTile&&(n=n.filter((t=>this._source.hasTile(t))))):n=[];const i=t.coveringZoomLevel(this._source),a=Math.max(i-dt.maxOverzooming,this._source.minzoom),o=Math.max(i+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){const t={};for(const e of n)if(e.canonical.z>this._source.minzoom){const r=e.scaledTo(e.canonical.z-1);t[r.key]=r;const n=e.scaledTo(Math.max(this._source.minzoom,Math.min(e.canonical.z,5)));t[n.key]=n}n=n.concat(Object.values(t))}const s=0===n.length&&!this._updated&&this._didEmitContent;this._updated=!0,s&&this.fire(new e.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));const l=this._updateRetainedTiles(n,i);gt(this._source.type)&&this._updateCoveredAndRetainedTiles(l,a,o,i,n,r);for(const t in l)this._tiles[t].clearFadeHold();const c=e.ac(this._tiles,l);for(const t of c){const e=this._tiles[t];e.hasSymbolBuckets&&!e.holdingForFade()?e.setHoldDuration(this.map._fadeDuration):e.hasSymbolBuckets&&!e.symbolFadeFinished()||this._removeTile(t)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(const t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)}_updateRetainedTiles(t,e){var r;const n={},i={},a=Math.max(e-dt.maxOverzooming,this._source.minzoom),o=Math.max(e+dt.maxUnderzooming,this._source.minzoom),s={};for(const r of t){const t=this._addTile(r);n[r.key]=r,t.hasData()||e<this._source.maxzoom&&(s[r.key]=r)}this._retainLoadedChildren(s,e,o,n);for(const o of t){let t=this._tiles[o.key];if(t.hasData())continue;if(e+1>this._source.maxzoom){const t=o.children(this._source.maxzoom)[0],e=this.getTile(t);if(e&&e.hasData()){n[t.key]=t;continue}}else{const t=o.children(this._source.maxzoom);if(n[t[0].key]&&n[t[1].key]&&n[t[2].key]&&n[t[3].key])continue}let s=t.wasRequested();for(let e=o.overscaledZ-1;e>=a;--e){const a=o.scaledTo(e);if(i[a.key])break;if(i[a.key]=!0,t=this.getTile(a),!t&&s&&(t=this._addTile(a)),t){const e=t.hasData();if((e||!(null===(r=this.map)||void 0===r?void 0:r.cancelPendingTileRequestsWhileZooming)||s)&&(n[a.key]=a),s=t.wasRequested(),e)break}}}return n}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(const t in this._tiles){const e=[];let r,n=this._tiles[t].tileID;for(;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);const t=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(t),r)break;n=t}for(const t of e)this._loadedParentTiles[t]=r}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(const t in this._tiles){const e=this._tiles[t].tileID,r=this._getLoadedTile(e);this._loadedSiblingTiles[e.key]=r}}_addTile(t){let r=this._tiles[t.key];if(r)return r;r=this._cache.getAndRemove(t),r&&(this._setTileReloadTimer(t.key,r),r.tileID=t,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[t.key]&&(clearTimeout(this._cacheTimers[t.key]),delete this._cacheTimers[t.key],this._setTileReloadTimer(t.key,r)));const n=r;return r||(r=new ht(t,this._source.tileSize*t.overscaleFactor()),this._loadTile(r,t.key,r.state)),r.uses++,this._tiles[t.key]=r,n||this._source.fire(new e.k(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r}_setTileReloadTimer(t,e){t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);const r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((()=>{this._reloadTile(t,\"expired\"),delete this._timers[t]}),r))}_removeTile(t){const e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))}_dataHandler(t){const e=t.sourceDataType;\"source\"===t.dataType&&\"metadata\"===e&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&\"source\"===t.dataType&&\"content\"===e&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(const t in this._tiles)this._removeTile(t);this._cache.reset()}tilesIn(t,r,n){const i=[],a=this.transform;if(!a)return i;const o=n?a.getCameraQueryGeometry(t):t,s=t.map((t=>a.pointCoordinate(t,this.terrain))),l=o.map((t=>a.pointCoordinate(t,this.terrain))),c=this.getIds();let u=1/0,h=1/0,f=-1/0,p=-1/0;for(const t of l)u=Math.min(u,t.x),h=Math.min(h,t.y),f=Math.max(f,t.x),p=Math.max(p,t.y);for(let t=0;t<c.length;t++){const n=this._tiles[c[t]];if(n.holdingForFade())continue;const o=n.tileID,d=Math.pow(2,a.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*e.X/n.tileSize/d,g=[o.getTilePoint(new e.Z(u,h)),o.getTilePoint(new e.Z(f,p))];if(g[0].x-m<e.X&&g[0].y-m<e.X&&g[1].x+m>=0&&g[1].y+m>=0){const t=s.map((t=>o.getTilePoint(t))),e=l.map((t=>o.getTilePoint(t)));i.push({tile:n,tileID:o,queryGeometry:t,cameraQueryGeometry:e,scale:d})}}return i}getVisibleCoordinates(t){const e=this.getRenderableIds(t).map((t=>this._tiles[t].tileID));for(const t of e)t.posMatrix=this.transform.calculatePosMatrix(t.toUnwrapped());return e}hasTransition(){if(this._source.hasTransition())return!0;if(gt(this._source.type)){const t=a.now();for(const e in this._tiles)if(this._tiles[e].fadeEndTime>=t)return!0}return!1}setFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)}removeFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)}getFeatureState(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)}setDependencies(t,e,r){const n=this._tiles[t];n&&n.setDependencies(e,r)}reloadTilesForDependencies(t,e){for(const r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((r=>!r.hasDependency(t,e)))}}function mt(t,e){const r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function gt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}dt.maxOverzooming=10,dt.maxUnderzooming=3;class yt{constructor(t,e){this.reset(t,e)}reset(t,e){this.points=t||[],this._distances=[0];for(let t=1;t<this.points.length;t++)this._distances[t]=this._distances[t-1]+this.points[t].dist(this.points[t-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(t){if(1===this.points.length)return this.points[0];t=e.ad(t,0,1);let r=1,n=this._distances[r];const i=t*this.paddedLength+this.padding;for(;n<i&&r<this._distances.length;)n=this._distances[++r];const a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))}}function vt(t,e){let r=!0;return\"always\"===t||\"never\"!==t&&\"never\"!==e||(r=!1),r}class xt{constructor(t,e,r){const n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(let t=0;t<this.xCellCount*this.yCellCount;t++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)}insertCircle(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)}_insertBoxCell(t,e,r,n,i,a){this.boxCells[i].push(a)}_insertCircleCell(t,e,r,n,i,a){this.circleCells[i].push(a)}_query(t,e,r,n,i,a,o){if(r<0||t>this.width||n<0||e>this.height)return[];const s=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return[{key:null,x1:t,y1:e,x2:r,y2:n}];for(let t=0;t<this.boxKeys.length;t++)s.push({key:this.boxKeys[t],x1:this.bboxes[4*t],y1:this.bboxes[4*t+1],x2:this.bboxes[4*t+2],y2:this.bboxes[4*t+3]});for(let t=0;t<this.circleKeys.length;t++){const e=this.circles[3*t],r=this.circles[3*t+1],n=this.circles[3*t+2];s.push({key:this.circleKeys[t],x1:e-n,y1:r-n,x2:e+n,y2:r+n})}}else{const l={hitTest:i,overlapMode:a,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,r,n,this._queryCell,s,l,o)}return s}query(t,e,r,n){return this._query(t,e,r,n,!1,null)}hitTest(t,e,r,n,i,a){return this._query(t,e,r,n,!0,i,a).length>0}hitTestCircle(t,e,r,n,i){const a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!1;const c=[],u={hitTest:!0,overlapMode:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),c.length>0}_queryCell(t,e,r,n,i,a,o,s){const{seenUids:l,hitTest:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const i=this.bboxes;for(const o of h)if(!l.box[o]){l.box[o]=!0;const h=4*o,f=this.boxKeys[o];if(t<=i[h+2]&&e<=i[h+3]&&r>=i[h+0]&&n>=i[h+1]&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))&&(a.push({key:f,x1:i[h],y1:i[h+1],x2:i[h+2],y2:i[h+3]}),c))return!0}}const f=this.circleCells[i];if(null!==f){const i=this.circles;for(const o of f)if(!l.circle[o]){l.circle[o]=!0;const h=3*o,f=this.circleKeys[o];if(this._circleAndRectCollide(i[h],i[h+1],i[h+2],t,e,r,n)&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))){const t=i[h],e=i[h+1],r=i[h+2];if(a.push({key:f,x1:t-r,y1:e-r,x2:t+r,y2:e+r}),c)return!0}}}return!1}_queryCellCircle(t,e,r,n,i,a,o,s){const{circle:l,seenUids:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const t=this.bboxes;for(const e of h)if(!c.box[e]){c.box[e]=!0;const r=4*e,n=this.boxKeys[e];if(this._circleAndRectCollide(l.x,l.y,l.radius,t[r+0],t[r+1],t[r+2],t[r+3])&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}const f=this.circleCells[i];if(null!==f){const t=this.circles;for(const e of f)if(!c.circle[e]){c.circle[e]=!0;const r=3*e,n=this.circleKeys[e];if(this._circlesCollide(t[r],t[r+1],t[r+2],l.x,l.y,l.radius)&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}}_forEachCell(t,e,r,n,i,a,o,s){const l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n);for(let f=l;f<=u;f++)for(let l=c;l<=h;l++){const c=this.xCellCount*l+f;if(i.call(this,t,e,r,n,c,a,o,s))return}}_convertToXCellCoord(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))}_convertToYCellCoord(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))}_circlesCollide(t,e,r,n,i,a){const o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s}_circleAndRectCollide(t,e,r,n,i,a,o){const s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;const c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;const h=l-s,f=u-c;return h*h+f*f<=r*r}}function _t(t,r,n,i,a){const o=e.H();return r?(e.K(o,o,[1/a,1/a,1]),n||e.ae(o,o,i.angle)):e.L(o,i.labelPlaneMatrix,t),o}function bt(t,r,n,i,a){if(r){const r=e.af(t);return e.K(r,r,[a,a,1]),n||e.ae(r,r,-i.angle),r}return i.glCoordMatrix}function wt(t,r,n){let i;n?(i=[t.x,t.y,n(t.x,t.y),1],e.ag(i,i,r)):(i=[t.x,t.y,0,1],function(t,e,r){const n=e[0],i=e[1];t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15]}(i,i,r));const a=i[3];return{point:new e.P(i[0]/a,i[1]/a),signedDistanceFromCamera:a,isOccluded:!1}}function Tt(t,e){return.5+t/e*.5}function kt(t,e){return t.x>=-e[0]&&t.x<=e[0]&&t.y>=-e[1]&&t.y<=e[1]}function At(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m){const g=i?t.textSizeData:t.iconSizeData,y=e.ah(g,n.transform.zoom),v=[256/n.width*2+1,256/n.height*2+1],x=i?t.text.dynamicLayoutVertexArray:t.icon.dynamicLayoutVertexArray;x.clear();const _=t.lineVertexArray,b=i?t.text.placedSymbolArray:t.icon.placedSymbolArray,w=n.transform.width/n.transform.height;let T=!1;for(let i=0;i<b.length;i++){const k=b.get(i);if(k.hidden||k.writingMode===e.ai.vertical&&!T){Rt(k.numGlyphs,x);continue}T=!1;const A=wt(new e.P(k.anchorX,k.anchorY),r,m);if(!kt(A.point,v)){Rt(k.numGlyphs,x);continue}const M=A.signedDistanceFromCamera,S=Tt(n.transform.cameraToCenterDistance,M),E=e.aj(g,y,k),C=s?E/S:E*S,L={getElevation:m,labelPlaneMatrix:a,lineVertexArray:_,pitchWithMap:s,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:u,tileAnchorPoint:new e.P(k.anchorX,k.anchorY),unwrappedTileID:h,width:f,height:p,translation:d},I=Et(L,k,C,!1,l,r,o,t.glyphOffsetArray,x,w,c);T=I.useVertical,(I.notEnoughRoom||T||I.needsFlipping&&Et(L,k,C,!0,l,r,o,t.glyphOffsetArray,x,w,c).notEnoughRoom)&&Rt(k.numGlyphs,x)}i?t.text.dynamicLayoutVertexBuffer.updateData(x):t.icon.dynamicLayoutVertexBuffer.updateData(x)}function Mt(t,e,r,n,i,a,o,s){const l=a.glyphStartIndex+a.numGlyphs,c=a.lineStartIndex,u=a.lineStartIndex+a.lineLength,h=e.getoffsetX(a.glyphStartIndex),f=e.getoffsetX(l-1),p=Ot(t*h,r,n,i,a.segment,c,u,s,o);if(!p)return null;const d=Ot(t*f,r,n,i,a.segment,c,u,s,o);return d?s.projectionCache.anyProjectionOccluded?null:{first:p,last:d}:null}function St(t,r,n,i){return t===e.ai.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(t===e.ai.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function Et(t,r,n,i,a,o,s,l,c,u,h){const f=n/24,p=r.lineOffsetX*f,d=r.lineOffsetY*f;let m;if(r.numGlyphs>1){const e=r.glyphStartIndex+r.numGlyphs,n=r.lineStartIndex,o=r.lineStartIndex+r.lineLength,c=Mt(f,l,p,d,i,r,h,t);if(!c)return{notEnoughRoom:!0};const g=wt(c.first.point,s,t.getElevation).point,y=wt(c.last.point,s,t.getElevation).point;if(a&&!i){const t=St(r.writingMode,g,y,u);if(t)return t}m=[c.first];for(let a=r.glyphStartIndex+1;a<e-1;a++)m.push(Ot(f*l.getoffsetX(a),p,d,i,r.segment,n,o,t,h));m.push(c.last)}else{if(a&&!i){const n=wt(t.tileAnchorPoint,o,t.getElevation).point,i=r.lineStartIndex+r.segment+1,a=new e.P(t.lineVertexArray.getx(i),t.lineVertexArray.gety(i)),s=wt(a,o,t.getElevation),l=s.signedDistanceFromCamera>0?s.point:function(t,e,r,n,i,a){return Ct(t,e,r,n,i,a)}(t.tileAnchorPoint,a,n,1,o,t),c=St(r.writingMode,n,l,u);if(c)return c}const n=Ot(f*l.getoffsetX(r.glyphStartIndex),p,d,i,r.segment,r.lineStartIndex,r.lineStartIndex+r.lineLength,t,h);if(!n||t.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};m=[n]}for(const t of m)e.ak(c,t.point,t.angle);return{}}function Ct(t,e,r,n,i,a){const o=t.add(t.sub(e)._unit()),s=void 0!==i?wt(o,i,a.getElevation).point:It(o.x,o.y,a).point,l=r.sub(s);return r.add(l._mult(n/l.mag()))}function Lt(t,r,n){const i=r.projectionCache;if(i.projections[t])return i.projections[t];const a=new e.P(r.lineVertexArray.getx(t),r.lineVertexArray.gety(t)),o=It(a.x,a.y,r);if(o.signedDistanceFromCamera>0)return i.projections[t]=o.point,i.anyProjectionOccluded=i.anyProjectionOccluded||o.isOccluded,o.point;const s=t-n.direction,l=0===n.distanceFromAnchor?r.tileAnchorPoint:new e.P(r.lineVertexArray.getx(s),r.lineVertexArray.gety(s)),c=n.absOffsetX-n.distanceFromAnchor+1;return function(t,e,r,n,i){return Ct(t,e,r,n,void 0,i)}(l,a,n.previousVertex,c,r)}function It(t,r,n){const i=t+n.translation[0],a=r+n.translation[1];let o;return!n.pitchWithMap&&n.projection.useSpecialProjectionForSymbols?(o=n.projection.projectTileCoordinates(i,a,n.unwrappedTileID,n.getElevation),o.point.x=(.5*o.point.x+.5)*n.width,o.point.y=(.5*-o.point.y+.5)*n.height):(o=wt(new e.P(i,a),n.labelPlaneMatrix,n.getElevation),o.isOccluded=!1),o}function Pt(t,e,r){return t._unit()._perp()._mult(e*r)}function zt(t,r,n,i,a,o,s,l,c){if(l.projectionCache.offsets[t])return l.projectionCache.offsets[t];const u=n.add(r);if(t+c.direction<i||t+c.direction>=a)return l.projectionCache.offsets[t]=u,u;const h=Lt(t+c.direction,l,c),f=Pt(h.sub(n),s,c.direction),p=n.add(f),d=h.add(f);return l.projectionCache.offsets[t]=e.al(o,u,p,d)||u,l.projectionCache.offsets[t]}function Ot(t,e,r,n,i,a,o,s,l){const c=n?t-e:t+e;let u=c>0?1:-1,h=0;n&&(u*=-1,h=Math.PI),u<0&&(h+=Math.PI);let f,p=u>0?a+i:a+i+1;s.projectionCache.cachedAnchorPoint?f=s.projectionCache.cachedAnchorPoint:(f=It(s.tileAnchorPoint.x,s.tileAnchorPoint.y,s).point,s.projectionCache.cachedAnchorPoint=f);let d,m,g=f,y=f,v=0,x=0;const _=Math.abs(c),b=[];let w;for(;v+x<=_;){if(p+=u,p<a||p>=o)return null;v+=x,y=g,m=d;const t={absOffsetX:_,direction:u,distanceFromAnchor:v,previousVertex:y};if(g=Lt(p,s,t),0===r)b.push(y),w=g.sub(y);else{let e;const n=g.sub(y);e=0===n.mag()?Pt(Lt(p+u,s,t).sub(g),r,u):Pt(n,r,u),m||(m=y.add(e)),d=zt(p,e,g,a,o,m,r,s,t),b.push(m),w=d.sub(m)}x=w.mag()}const T=(_-v)/x,k=w._mult(T)._add(m||y),A=h+Math.atan2(g.y-y.y,g.x-y.x);return b.push(k),{point:k,angle:l?A:0,path:b}}const Dt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Rt(t,e){for(let r=0;r<t;r++){const t=e.length;e.resize(t+4),e.float32.set(Dt,3*t)}}const Ft=100;class Bt{constructor(t,e,r=new xt(t.width+200,t.height+200,25),n=new xt(t.width+200,t.height+200,25)){this.transform=t,this.mapProjection=e,this.grid=r,this.ignoredGrid=n,this.pitchFactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+Ft,this.screenBottomBoundary=t.height+Ft,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(t,e,r,n,i,a,o,s,l,c,u){const h=t.anchorPointX+s[0],f=t.anchorPointY+s[1],p=this.projectAndGetPerspectiveRatio(n,h,f,i,c),d=this._projectCollisionBox(t,r,n,i,a,o,s,p,c,u),[m,g,y,v]=d.box;return this.mapProjection.useSpecialProjectionForSymbols&&(a?d.allPointsOccluded:this.mapProjection.isOccluded(h,f,i))||p.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(m,g,y,v)||\"always\"!==e&&this.grid.hitTest(m,g,y,v,e,l)?{box:[m,g,y,v],placeable:!1,offscreen:!1}:{box:[m,g,y,v],placeable:!0,offscreen:this.isOffscreen(m,g,y,v)}}placeCollisionCircles(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=[],v=new e.P(r.anchorX,r.anchorY),x=this.getPerspectiveRatio(o,v.x,v.y,s,g),_=(h?a/x:a*x)/e.aq,b=r.lineOffsetX*_,w=r.lineOffsetY*_,T={getElevation:g,labelPlaneMatrix:l,lineVertexArray:n,pitchWithMap:h,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:v,unwrappedTileID:s,width:this.transform.width,height:this.transform.height,translation:m},k=Mt(_,i,b,w,!1,r,!1,T);let A=!1,M=!1,S=!0;if(k){const r=.5*p*x+d,n=new e.P(-100,-100),i=new e.P(this.screenRightBoundary,this.screenBottomBoundary),a=new yt,o=k.first,s=k.last;let l=[];for(let t=o.path.length-1;t>=1;t--)l.push(o.path[t]);for(let t=1;t<s.path.length;t++)l.push(s.path[t]);const h=2.5*r;if(c){const t=this.projectPathToScreenSpace(l,T,c);l=t.some((t=>t.signedDistanceFromCamera<=0))?[]:t.map((t=>t.point))}let m=[];if(l.length>0){const t=l[0].clone(),r=l[0].clone();for(let e=1;e<l.length;e++)t.x=Math.min(t.x,l[e].x),t.y=Math.min(t.y,l[e].y),r.x=Math.max(r.x,l[e].x),r.y=Math.max(r.y,l[e].y);m=t.x>=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.x<n.x||t.x>i.x||r.y<n.y||t.y>i.y?[]:e.am([l],n.x,n.y,i.x,i.y)}for(const e of m){a.reset(e,.25*r);let n=0;n=a.length<=.5*r?1:Math.ceil(a.paddedLength/h)+1;for(let e=0;e<n;e++){const i=e/Math.max(n-1,1),o=a.lerp(i),s=o.x+Ft,l=o.y+Ft;y.push(s,l,r,0);const c=s-r,h=l-r,p=s+r,d=l+r;if(S=S&&this.isOffscreen(c,h,p,d),M=M||this.isInsideGrid(c,h,p,d),\"always\"!==t&&this.grid.hitTestCircle(s,l,r,t,f)&&(A=!0,!u))return{circles:[],offscreen:!1,collisionDetected:A}}}}return{circles:!u&&A||!M||x<this.perspectiveRatioCutoff?[]:y,offscreen:S,collisionDetected:A}}projectPathToScreenSpace(t,e,r){return t.map((t=>wt(t,r,e.getElevation)))}queryRenderedSymbols(t){if(0===t.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};const r=[];let n=1/0,i=1/0,a=-1/0,o=-1/0;for(const s of t){const t=new e.P(s.x+Ft,s.y+Ft);n=Math.min(n,t.x),i=Math.min(i,t.y),a=Math.max(a,t.x),o=Math.max(o,t.y),r.push(t)}const s=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o)),l={},c={};for(const t of s){const n=t.key;if(void 0===l[n.bucketInstanceId]&&(l[n.bucketInstanceId]={}),l[n.bucketInstanceId][n.featureIndex])continue;const i=[new e.P(t.x1,t.y1),new e.P(t.x2,t.y1),new e.P(t.x2,t.y2),new e.P(t.x1,t.y2)];e.an(r,i)&&(l[n.bucketInstanceId][n.featureIndex]=!0,void 0===c[n.bucketInstanceId]&&(c[n.bucketInstanceId]=[]),c[n.bucketInstanceId].push(n.featureIndex))}return c}insertCollisionBox(t,e,r,n,i,a){const o={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};(r?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3])}insertCollisionCircles(t,e,r,n,i,a){const o=r?this.ignoredGrid:this.grid,s={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};for(let e=0;e<t.length;e+=4)o.insertCircle(s,t[e],t[e+1],t[e+2])}projectAndGetPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return{point:new e.P((o.point.x+1)/2*this.transform.width+Ft,(1-o.point.y)/2*this.transform.height+Ft),perspectiveRatio:.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5,isOccluded:o.isOccluded,signedDistanceFromCamera:o.signedDistanceFromCamera}}getPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5}isOffscreen(t,e,r,n){return r<Ft||t>=this.screenRightBoundary||n<Ft||e>this.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary}getViewportMatrix(){const t=e.ao([]);return e.J(t,t,[-100,-100,0]),t}_projectCollisionBox(t,r,n,i,a,o,s,l,c,u){const h=r*l.perspectiveRatio;let f=new e.P(1,0),p=new e.P(0,1);const d=new e.P(t.anchorPointX+s[0],t.anchorPointY+s[1]);if(o&&!a){const t=this.projectAndGetPerspectiveRatio(n,d.x+1,d.y,i,c).point.sub(l.point).unit(),r=Math.atan(t.y/t.x)+(t.x<0?Math.PI:0),a=Math.sin(r),o=Math.cos(r);f=new e.P(o,a),p=new e.P(-a,o)}else if(!o&&a){const t=-this.transform.angle,r=Math.sin(t),n=Math.cos(t);f=new e.P(n,r),p=new e.P(-r,n)}let m=l.point,g=h;if(a){m=d;const t=this.transform.zoom-Math.floor(this.transform.zoom);if(g=Math.pow(2,-t),g*=this.mapProjection.getPitchedTextCorrection(this.transform,d,i),!u){const t=l.signedDistanceFromCamera/this.transform.cameraToCenterDistance;g*=e.ad(.5+.5*t,0,4)}}u&&(m=m.add(f.mult(u.x*g)).add(p.mult(u.y*g)));const y=t.x1*g,v=t.x2*g,x=(y+v)/2,_=t.y1*g,b=t.y2*g,w=(_+b)/2,T=[{offsetX:y,offsetY:_},{offsetX:x,offsetY:_},{offsetX:v,offsetY:_},{offsetX:v,offsetY:w},{offsetX:v,offsetY:b},{offsetX:x,offsetY:b},{offsetX:y,offsetY:b},{offsetX:y,offsetY:w}];let k=[];for(const{offsetX:t,offsetY:r}of T)k.push(new e.P(m.x+f.x*t+p.x*r,m.y+f.y*t+p.y*r));let A=!1;if(a){const t=k.map((t=>this.projectAndGetPerspectiveRatio(n,t.x,t.y,i,c)));A=t.some((t=>!t.isOccluded)),k=t.map((t=>t.point))}else A=!0;return{box:e.ap(k),allPointsOccluded:!A}}}function Nt(t,r,n){return r*(e.X/(t.tileSize*Math.pow(2,n-t.tileID.overscaledZ)))}class jt{constructor(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r}isHidden(){return 0===this.opacity&&!this.placed}}class Ut{constructor(t,e,r,n,i){this.text=new jt(t?t.text:null,e,r,i),this.icon=new jt(t?t.icon:null,e,n,i)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vt{constructor(t,e,r){this.text=t,this.icon=e,this.skipFade=r}}class qt{constructor(){this.invProjMatrix=e.H(),this.viewportMatrix=e.H(),this.circles=[]}}class Ht{constructor(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i}}class Gt{constructor(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}}get(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){const e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:t=>t.collisionGroupID===e}}return this.collisionGroups[t]}}function Zt(t,r,n,i,a){const{horizontalAlign:o,verticalAlign:s}=e.av(t),l=-(o-.5)*r,c=-(s-.5)*n;return new e.P(l+i[0]*a,c+i[1]*a)}class Wt{constructor(t,e,r,n,i,a){this.transform=t.clone(),this.terrain=r,this.collisionIndex=new Bt(this.transform,e),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=n,this.retainedQueryData={},this.collisionGroups=new Gt(i),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=a,a&&(a.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(t){const e=this.terrain;return e?(r,n)=>e.getElevation(t,r,n):null}getBucketParts(t,r,n,i){const a=n.getBucket(r),o=n.latestFeatureIndex;if(!a||!o||r.id!==a.layerIds[0])return;const s=n.collisionBoxArray,l=a.layers[0].layout,c=a.layers[0].paint,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),h=n.tileSize/e.X,f=n.tileID.toUnwrapped(),p=this.transform.calculatePosMatrix(f),d=\"map\"===l.get(\"text-pitch-alignment\"),m=\"map\"===l.get(\"text-rotation-alignment\"),g=Nt(n,1,this.transform.zoom),y=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"text-translate\"),c.get(\"text-translate-anchor\")),v=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"icon-translate\"),c.get(\"icon-translate-anchor\")),x=_t(p,d,m,this.transform,g);let _=null;if(d){const t=bt(p,d,m,this.transform,g);_=e.L([],this.transform.labelPlaneMatrix,t)}this.retainedQueryData[a.bucketInstanceId]=new Ht(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);const b={bucket:a,layout:l,translationText:y,translationIcon:v,posMatrix:p,unwrappedTileID:f,textLabelPlaneMatrix:x,labelToScreenMatrix:_,scale:u,textPixelRatio:h,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:e.ah(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(const e of a.sortKeyRanges){const{sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i}=e;t.push({sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i,parameters:b})}else t.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:b})}attemptAnchorPlacement(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x){const _=e.ar[t.textAnchor],b=[t.textOffset0,t.textOffset1],w=Zt(_,n,i,b,a),T=this.collisionIndex.placeCollisionBox(r,f,l,c,u,s,o,g,h.predicate,x,w);if((!v||this.collisionIndex.placeCollisionBox(v,f,l,c,u,s,o,y,h.predicate,x,w).placeable)&&T.placeable){let t;if(this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(t=this.prevPlacement.variableOffsets[p.crossTileID].anchor),0===p.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[p.crossTileID]={textOffset:b,width:n,height:i,anchor:_,textBoxScale:a,prevAnchor:t},this.markUsedJustification(d,_,p,m),d.allowVerticalPlacement&&(this.markUsedOrientation(d,m,p),this.placedOrientations[p.crossTileID]=m),{shift:w,placedGlyphBoxes:T}}}placeLayerBucketPart(t,r,n){const{bucket:i,layout:a,translationText:o,translationIcon:s,posMatrix:l,unwrappedTileID:c,textLabelPlaneMatrix:u,labelToScreenMatrix:h,textPixelRatio:f,holdingForFade:p,collisionBoxArray:d,partiallyEvaluatedTextSize:m,collisionGroup:g}=t.parameters,y=a.get(\"text-optional\"),v=a.get(\"icon-optional\"),x=e.as(a,\"text-overlap\",\"text-allow-overlap\"),_=\"always\"===x,b=e.as(a,\"icon-overlap\",\"icon-allow-overlap\"),w=\"always\"===b,T=\"map\"===a.get(\"text-rotation-alignment\"),k=\"map\"===a.get(\"text-pitch-alignment\"),A=\"none\"!==a.get(\"icon-text-fit\"),M=\"viewport-y\"===a.get(\"symbol-z-order\"),S=_&&(w||!i.hasIconData()||v),E=w&&(_||!i.hasTextData()||y);!i.collisionArrays&&d&&i.deserializeCollisionBoxes(d);const C=this.retainedQueryData[i.bucketInstanceId].tileID,L=this._getTerrainElevationFunc(C),I=(t,d,w)=>{var M,C;if(r[t.crossTileID])return;if(p)return void(this.placements[t.crossTileID]=new Vt(!1,!1,!1));let I=!1,P=!1,z=!0,O=null,D={box:null,placeable:!1,offscreen:null},R={box:null,placeable:!1,offscreen:null},F=null,B=null,N=null,j=0,U=0,V=0;d.textFeatureIndex?j=d.textFeatureIndex:t.useRuntimeCollisionCircles&&(j=t.featureIndex),d.verticalTextFeatureIndex&&(U=d.verticalTextFeatureIndex);const q=d.textBox;if(q){const r=r=>{let n=e.ai.horizontal;if(i.allowVerticalPlacement&&!r&&this.prevPlacement){const e=this.prevPlacement.placedOrientations[t.crossTileID];e&&(this.placedOrientations[t.crossTileID]=e,n=e,this.markUsedOrientation(i,n,t))}return n},a=(r,n)=>{if(i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&d.verticalTextBox){for(const t of i.writingModes)if(t===e.ai.vertical?(D=n(),R=D):D=r(),D&&D.placeable)break}else D=r()},u=t.textAnchorOffsetStartIndex,h=t.textAnchorOffsetEndIndex;if(h===u){const n=(e,r)=>{const n=this.collisionIndex.placeCollisionBox(e,x,f,l,c,k,T,o,g.predicate,L);return n&&n.placeable&&(this.markUsedOrientation(i,r,t),this.placedOrientations[t.crossTileID]=r),n};a((()=>n(q,e.ai.horizontal)),(()=>{const r=d.verticalTextBox;return i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&r?n(r,e.ai.vertical):{box:null,offscreen:null}})),r(D&&D.placeable)}else{let p=e.ar[null===(C=null===(M=this.prevPlacement)||void 0===M?void 0:M.variableOffsets[t.crossTileID])||void 0===C?void 0:C.anchor];const m=(r,a,d)=>{const m=r.x2-r.x1,y=r.y2-r.y1,v=t.textBoxScale,_=A&&\"never\"===b?a:null;let w=null,M=\"never\"===x?1:2,S=\"never\";p&&M++;for(let e=0;e<M;e++){for(let e=u;e<h;e++){const n=i.textAnchorOffsets.get(e);if(p&&n.textAnchor!==p)continue;const a=this.attemptAnchorPlacement(n,r,m,y,v,T,k,f,l,c,g,S,t,i,d,o,s,_,L);if(a&&(w=a.placedGlyphBoxes,w&&w.placeable))return I=!0,O=a.shift,w}p?p=null:S=x}return n&&!w&&(w={box:this.collisionIndex.placeCollisionBox(q,\"always\",f,l,c,k,T,o,g.predicate,L,new e.P(0,0)).box,offscreen:!1,placeable:!1}),w};a((()=>m(q,d.iconBox,e.ai.horizontal)),(()=>{const r=d.verticalTextBox,n=D&&D.placeable;return i.allowVerticalPlacement&&!n&&t.numVerticalGlyphVertices>0&&r?m(r,d.verticalIconBox,e.ai.vertical):{box:null,occluded:!0,offscreen:null}})),D&&(I=D.placeable,z=D.offscreen);const y=r(D&&D.placeable);if(!I&&this.prevPlacement){const e=this.prevPlacement.variableOffsets[t.crossTileID];e&&(this.variableOffsets[t.crossTileID]=e,this.markUsedJustification(i,e.anchor,t,y))}}}if(F=D,I=F&&F.placeable,z=F&&F.offscreen,t.useRuntimeCollisionCircles){const r=i.text.placedSymbolArray.get(t.centerJustifiedTextSymbolIndex),s=e.aj(i.textSizeData,m,r),f=a.get(\"text-padding\"),p=t.collisionCircleDiameter;B=this.collisionIndex.placeCollisionCircles(x,r,i.lineVertexArray,i.glyphOffsetArray,s,l,c,u,h,n,k,g.predicate,p,f,o,L),B.circles.length&&B.collisionDetected&&!n&&e.w(\"Collisions detected, but collision boxes are not shown\"),I=_||B.circles.length>0&&!B.collisionDetected,z=z&&B.offscreen}if(d.iconFeatureIndex&&(V=d.iconFeatureIndex),d.iconBox){const t=t=>this.collisionIndex.placeCollisionBox(t,b,f,l,c,k,T,s,g.predicate,L,A&&O?O:void 0);R&&R.placeable&&d.verticalIconBox?(N=t(d.verticalIconBox),P=N.placeable):(N=t(d.iconBox),P=N.placeable),z=z&&N.offscreen}const H=y||0===t.numHorizontalGlyphVertices&&0===t.numVerticalGlyphVertices,G=v||0===t.numIconVertices;H||G?G?H||(P=P&&I):I=P&&I:P=I=P&&I;const Z=I&&F.placeable,W=P&&N.placeable;if(Z&&(R&&R.placeable&&U?this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,U,g.ID):this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID)),W&&this.collisionIndex.insertCollisionBox(N.box,b,a.get(\"icon-ignore-placement\"),i.bucketInstanceId,V,g.ID),B&&I&&this.collisionIndex.insertCollisionCircles(B.circles,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID),n&&this.storeCollisionData(i.bucketInstanceId,w,d,F,N,B),0===t.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(0===i.bucketInstanceId)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[t.crossTileID]=new Vt(I||S,P||E,z||i.justReloaded),r[t.crossTileID]=!0};if(M){if(0!==t.symbolInstanceStart)throw new Error(\"bucket.bucketInstanceId should be 0\");const e=i.getSortedSymbolIndexes(this.transform.angle);for(let t=e.length-1;t>=0;--t){const r=e[t];I(i.symbolInstances.get(r),i.collisionArrays[r],r)}}else for(let e=t.symbolInstanceStart;e<t.symbolInstanceEnd;e++)I(i.symbolInstances.get(e),i.collisionArrays[e],e);if(n&&i.bucketInstanceId in this.collisionCircleArrays){const t=this.collisionCircleArrays[i.bucketInstanceId];e.at(t.invProjMatrix,l),t.viewportMatrix=this.collisionIndex.getViewportMatrix()}i.justReloaded=!1}storeCollisionData(t,e,r,n,i,a){if(r.textBox||r.iconBox){let a,o;this.collisionBoxArrays.has(t)?a=this.collisionBoxArrays.get(t):(a=new Map,this.collisionBoxArrays.set(t,a)),a.has(e)?o=a.get(e):(o={text:null,icon:null},a.set(e,o)),r.textBox&&(o.text=n.box),r.iconBox&&(o.icon=i.box)}if(a){let e=this.collisionCircleArrays[t];void 0===e&&(e=this.collisionCircleArrays[t]=new qt);for(let t=0;t<a.circles.length;t+=4)e.circles.push(a.circles[t+0]),e.circles.push(a.circles[t+1]),e.circles.push(a.circles[t+2]),e.circles.push(a.collisionDetected?1:0)}}markUsedJustification(t,r,n,i){const a={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};let o;o=i===e.ai.vertical?n.verticalPlacedTextSymbolIndex:a[e.au(r)];const s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];for(const e of s)e>=0&&(t.text.placedSymbolArray.get(e).crossTileID=o>=0&&e!==o?0:n.crossTileID)}markUsedOrientation(t,r,n){const i=r===e.ai.horizontal||r===e.ai.horizontalOnly?r:0,a=r===e.ai.vertical?r:0,o=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];for(const e of o)t.text.placedSymbolArray.get(e).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(t.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)}commit(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;const e=this.prevPlacement;let r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;const n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(const t in this.placements){const e=this.placements[t],a=i[t];a?(this.opacities[t]=new Ut(a,n,e.text,e.icon),r=r||e.text!==a.text.placed||e.icon!==a.icon.placed):(this.opacities[t]=new Ut(null,n,e.text,e.icon,e.skipFade),r=r||e.text||e.icon)}for(const t in i){const e=i[t];if(!this.opacities[t]){const i=new Ut(e,n,!1,!1);i.isHidden()||(this.opacities[t]=i,r=r||e.text.placed||e.icon.placed)}}for(const t in a)this.variableOffsets[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.variableOffsets[t]=a[t]);for(const t in o)this.placedOrientations[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.placedOrientations[t]=o[t]);if(e&&void 0===e.lastPlacementChangeTime)throw new Error(\"Last placement time for previous placement is not defined\");r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)}updateLayerOpacities(t,e){const r={};for(const n of e){const e=n.getBucket(t);e&&n.latestFeatureIndex&&t.id===e.layerIds[0]&&this.updateBucketOpacities(e,n.tileID,r,n.collisionBoxArray)}}updateBucketOpacities(t,r,n,i){t.hasTextData()&&(t.text.opacityVertexArray.clear(),t.text.hasVisibleVertices=!1),t.hasIconData()&&(t.icon.opacityVertexArray.clear(),t.icon.hasVisibleVertices=!1),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexArray.clear(),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexArray.clear();const a=t.layers[0],o=a.layout,s=new Ut(null,0,!1,!1,!0),l=o.get(\"text-allow-overlap\"),c=o.get(\"icon-allow-overlap\"),u=a._unevaluatedLayout.hasValue(\"text-variable-anchor\")||a._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),h=\"map\"===o.get(\"text-rotation-alignment\"),f=\"map\"===o.get(\"text-pitch-alignment\"),p=\"none\"!==o.get(\"icon-text-fit\"),d=new Ut(null,0,l&&(c||!t.hasIconData()||o.get(\"icon-optional\")),c&&(l||!t.hasTextData()||o.get(\"text-optional\")),!0);!t.collisionArrays&&i&&(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData())&&t.deserializeCollisionBoxes(i);const m=(t,e,r)=>{for(let n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r);t.hasVisibleVertices=t.hasVisibleVertices||r!==ne},g=this.collisionBoxArrays.get(t.bucketInstanceId);for(let r=0;r<t.symbolInstances.length;r++){const i=t.symbolInstances.get(r),{numHorizontalGlyphVertices:a,numVerticalGlyphVertices:o,crossTileID:l}=i,c=n[l];let y=this.opacities[l];c?y=s:y||(y=d,this.opacities[l]=y),n[l]=!0;const v=a>0||o>0,x=i.numIconVertices>0,_=this.placedOrientations[i.crossTileID],b=_===e.ai.vertical,w=_===e.ai.horizontal||_===e.ai.horizontalOnly;if(v){const e=re(y.text),r=b?ne:e;m(t.text,a,r);const n=w?ne:e;m(t.text,o,n);const s=y.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((e=>{e>=0&&(t.text.placedSymbolArray.get(e).hidden=s||b?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(t.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=s||w?1:0);const l=this.variableOffsets[i.crossTileID];l&&this.markUsedJustification(t,l.anchor,i,_);const c=this.placedOrientations[i.crossTileID];c&&(this.markUsedJustification(t,\"left\",i,c),this.markUsedOrientation(t,c,i))}if(x){const e=re(y.icon),r=!(p&&i.verticalPlacedIconSymbolIndex&&b);if(i.placedIconSymbolIndex>=0){const n=r?e:ne;m(t.icon,i.numIconVertices,n),t.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(i.verticalPlacedIconSymbolIndex>=0){const n=r?ne:e;m(t.icon,i.numVerticalIconVertices,n),t.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}const T=g&&g.has(r)?g.get(r):{text:null,icon:null};if(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData()){const n=t.collisionArrays[r];if(n){let r=new e.P(0,0);if(n.textBox||n.verticalTextBox){let e=!0;if(u){const t=this.variableOffsets[l];t?(r=Zt(t.anchor,t.width,t.height,t.textOffset,t.textBoxScale),h&&r._rotate(f?this.transform.angle:-this.transform.angle)):e=!1}if(n.textBox||n.verticalTextBox){let i;n.textBox&&(i=b),n.verticalTextBox&&(i=w),Yt(t.textCollisionBox.collisionVertexArray,y.text.placed,!e||i,T.text,r.x,r.y)}}if(n.iconBox||n.verticalIconBox){const e=Boolean(!w&&n.verticalIconBox);let i;n.iconBox&&(i=e),n.verticalIconBox&&(i=!e),Yt(t.iconCollisionBox.collisionVertexArray,y.icon.placed,i,T.icon,p?r.x:0,p?r.y:0)}}}}if(t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexBuffer&&t.iconCollisionBox.collisionVertexBuffer.updateData(t.iconCollisionBox.collisionVertexArray),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexBuffer&&t.textCollisionBox.collisionVertexBuffer.updateData(t.textCollisionBox.collisionVertexArray),t.text.opacityVertexArray.length!==t.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${t.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${t.text.layoutVertexArray.length}) / 4`);if(t.icon.opacityVertexArray.length!==t.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${t.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId]}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(t,e){const r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t}setStale(){this.stale=!0}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c)}const Xt=Math.pow(2,25),$t=Math.pow(2,24),Jt=Math.pow(2,17),Kt=Math.pow(2,16),Qt=Math.pow(2,9),te=Math.pow(2,8),ee=Math.pow(2,1);function re(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;const e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Xt+e*$t+r*Jt+e*Kt+r*Qt+e*te+r*ee+e}const ne=0;function ie(){return{isOccluded(t,e,r){return!1},getPitchedTextCorrection(t,e,r){return 1},get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(t,e,r,n){throw new Error(\"Not implemented.\")},translatePosition(t,e,r,n){return function(t,e,r,n,i=!1){if(!r[0]&&!r[1])return[0,0];const a=i?\"map\"===n?t.angle:0:\"viewport\"===n?-t.angle:0;if(a){const t=Math.sin(a),e=Math.cos(a);r=[r[0]*e-r[1]*t,r[0]*t+r[1]*e]}return[i?r[0]:Nt(e,r[0],t.zoom),i?r[1]:Nt(e,r[1],t.zoom)]}(t,e,r,n)},getCircleRadiusCorrection(t){return 1}}}class ae{constructor(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&!t.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(t,e,r,n,i){const a=this._bucketParts;for(;this._currentTileIndex<t.length;){const r=t[this._currentTileIndex];if(e.getBucketParts(a,n,r,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(((t,e)=>t.sortKey-e.sortKey)));this._currentPartIndex<a.length;){const t=a[this._currentPartIndex];if(e.placeLayerBucketPart(t,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1}}class oe{constructor(t,e,r,n,i,a,o,s){this.placement=new Wt(t,ie(),e,a,o,s),this._currentPlacementIndex=r.length-1,this._forceFullPlacement=n,this._showCollisionBoxes=i,this._done=!1}isDone(){return this._done}continuePlacement(t,e,r){const n=a.now(),i=()=>!this._forceFullPlacement&&a.now()-n>2;for(;this._currentPlacementIndex>=0;){const n=e[t[this._currentPlacementIndex]],a=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===n.type&&(!n.minzoom||n.minzoom<=a)&&(!n.maxzoom||n.maxzoom>a)){if(this._inProgressLayer||(this._inProgressLayer=new ae(n)),this._inProgressLayer.continuePlacement(r[n.source],this.placement,this._showCollisionBoxes,n,i))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(t){return this.placement.commit(t),this.placement}}const se=512/e.X/2;class le{constructor(t,r,n){this.tileID=t,this.bucketInstanceId=n,this._symbolsByKey={};const i=new Map;for(let t=0;t<r.length;t++){const e=r.get(t),n=e.key,a=i.get(n);a?a.push(e):i.set(n,[e])}for(const[t,r]of i){const n={positions:r.map((t=>({x:Math.floor(t.anchorX*se),y:Math.floor(t.anchorY*se)}))),crossTileIDs:r.map((t=>t.crossTileID))};if(n.positions.length>128){const t=new e.aw(n.positions.length,16,Uint16Array);for(const{x:e,y:r}of n.positions)t.add(e,r);t.finish(),delete n.positions,n.index=t}this._symbolsByKey[t]=n}}getScaledCoordinates(t,r){const{x:n,y:i,z:a}=this.tileID.canonical,{x:o,y:s,z:l}=r.canonical,c=l-a,u=se/Math.pow(2,c),h=(o*e.X+t.anchorX)*u,f=(s*e.X+t.anchorY)*u,p=n*e.X*se,d=i*e.X*se;return{x:Math.floor(h-p),y:Math.floor(f-d)}}findMatches(t,e,r){const n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z);for(let i=0;i<t.length;i++){const a=t.get(i);if(a.crossTileID)continue;const o=this._symbolsByKey[a.key];if(!o)continue;const s=this.getScaledCoordinates(a,e);if(o.index){const t=o.index.range(s.x-n,s.y-n,s.x+n,s.y+n).sort();for(const e of t){const t=o.crossTileIDs[e];if(!r[t]){r[t]=!0,a.crossTileID=t;break}}}else if(o.positions)for(let t=0;t<o.positions.length;t++){const e=o.positions[t],i=o.crossTileIDs[t];if(Math.abs(e.x-s.x)<=n&&Math.abs(e.y-s.y)<=n&&!r[i]){r[i]=!0,a.crossTileID=i;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:t})=>t))}}class ce{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class ue{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(t){const e=Math.round((t-this.lng)/360);if(0!==e)for(const t in this.indexes){const r=this.indexes[t],n={};for(const t in r){const i=r[t];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i}this.indexes[t]=n}this.lng=t}addBucket(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(let t=0;t<e.symbolInstances.length;t++)e.symbolInstances.get(t).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});const n=this.usedCrossTileIDs[t.overscaledZ];for(const r in this.indexes){const i=this.indexes[r];if(Number(r)>t.overscaledZ)for(const r in i){const a=i[r];a.tileID.isChildOf(t)&&a.findMatches(e.symbolInstances,t,n)}else{const a=i[t.scaledTo(Number(r)).key];a&&a.findMatches(e.symbolInstances,t,n)}}for(let t=0;t<e.symbolInstances.length;t++){const i=e.symbolInstances.get(t);i.crossTileID||(i.crossTileID=r.generate(),n[i.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new le(t,e.symbolInstances,e.bucketInstanceId),!0}removeBucketCrossTileIDs(t,e){for(const r of e.getCrossTileIDsLists())for(const e of r)delete this.usedCrossTileIDs[t][e]}removeStaleBuckets(t){let e=!1;for(const r in this.indexes){const n=this.indexes[r];for(const i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e}}class he{constructor(){this.layerIndexes={},this.crossTileIDs=new ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(t,e,r){let n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new ue);let i=!1;const a={};n.handleWrapJump(r);for(const r of e){const e=r.getBucket(t);e&&t.id===e.layerIds[0]&&(e.bucketInstanceId||(e.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(r.tileID,e,this.crossTileIDs)&&(i=!0),a[e.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i}pruneUnusedLayers(t){const e={};t.forEach((t=>{e[t]=!0}));for(const t in this.layerIndexes)e[t]||delete this.layerIndexes[t]}}const fe=(t,r)=>e.t(t,r&&r.filter((t=>\"source.canvas\"!==t.identifier))),pe=e.ax();class de extends e.E{constructor(t,r={}){super(),this._rtlPluginLoaded=()=>{for(const t in this.sourceCaches){const e=this.sourceCaches[t].getSource().type;\"vector\"!==e&&\"geojson\"!==e||this.sourceCaches[t].reload()}},this.map=t,this.dispatcher=new q(V(),t._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((t,e)=>this.getGlyphs(t,e))),this.dispatcher.registerMessageHandler(\"GI\",((t,e)=>this.getImages(t,e))),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new E(t._requestManager,r.localIdeographFontFamily),this.lineAtlas=new R(256,512),this.crossTileSymbolIndex=new he,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ay,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",e.az()),ut().on(st,this._rtlPluginLoaded),this.on(\"data\",(t=>{if(\"source\"!==t.dataType||\"metadata\"!==t.sourceDataType)return;const e=this.sourceCaches[t.sourceId];if(!e)return;const r=e.getSource();if(r&&r.vectorLayerIds)for(const t in this._layers){const e=this._layers[t];e.source===r.id&&this._validateLayer(e)}}))}loadURL(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),r.validate=\"boolean\"!=typeof r.validate||r.validate;const i=this.map._requestManager.transformRequest(t,\"Style\");this._loadStyleRequest=new AbortController;const a=this._loadStyleRequest;e.h(i,this._loadStyleRequest).then((t=>{this._loadStyleRequest=null,this._load(t.data,r,n)})).catch((t=>{this._loadStyleRequest=null,t&&!a.signal.aborted&&this.fire(new e.j(t))}))}loadJSON(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,r.validate=!1!==r.validate,this._load(t,r,n)})).catch((()=>{}))}loadEmpty(){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._load(pe,{validate:!1})}_load(t,r,n){var i;const a=r.transformStyle?r.transformStyle(n,t):t;if(!r.validate||!fe(this,e.x(a))){this._loaded=!0,this.stylesheet=a;for(const t in a.sources)this.addSource(t,a.sources[t],{validate:!1});a.sprite?this._loadSprite(a.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(a.glyphs),this._createLayers(),this.light=new P(this.stylesheet.light),this.sky=new D(this.stylesheet.sky),this.map.setTerrain(null!==(i=this.stylesheet.terrain)&&void 0!==i?i:null),this.fire(new e.k(\"data\",{dataType:\"style\"})),this.fire(new e.k(\"style.load\"))}}_createLayers(){const t=e.aA(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",t),this._order=t.map((t=>t.id)),this._layers={},this._serializedLayers=null;for(const r of t){const t=e.aB(r);t.setEventedParent(this,{layer:{id:r.id}}),this._layers[r.id]=t}}_loadSprite(t,r=!1,n=void 0){let i;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,b(t,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((t=>{if(this._spriteRequest=null,t)for(const e in t){this._spritesImagesIds[e]=[];const n=this._spritesImagesIds[e]?this._spritesImagesIds[e].filter((e=>!(e in t))):[];for(const t of n)this.imageManager.removeImage(t),this._changedImages[t]=!0;for(const n in t[e]){const i=\"default\"===e?n:`${e}:${n}`;this._spritesImagesIds[e].push(i),i in this.imageManager.images?this.imageManager.updateImage(i,t[e][n],!1):this.imageManager.addImage(i,t[e][n]),r&&(this._changedImages[i]=!0)}}})).catch((t=>{this._spriteRequest=null,i=t,this.fire(new e.j(i))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),r&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"})),n&&n(i)}))}_unloadSprite(){for(const t of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(t),this._changedImages[t]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}_validateLayer(t){const r=this.sourceCaches[t.source];if(!r)return;const n=t.sourceLayer;if(!n)return;const i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new e.j(new Error(`Source layer \"${n}\" does not exist on source \"${i.id}\" as specified by style layer \"${t.id}\".`)))}loaded(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(const t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(t){const e=this._serializedAllLayers();if(!t||0===t.length)return Object.values(e);const r=[];for(const n of t)e[n]&&r.push(e[n]);return r}_serializedAllLayers(){let t=this._serializedLayers;if(t)return t;t=this._serializedLayers={};const e=Object.keys(this._layers);for(const r of e){const e=this._layers[r];\"custom\"!==e.type&&(t[r]=e.serialize())}return t}hasTransitions(){if(this.light&&this.light.hasTransition())return!0;if(this.sky&&this.sky.hasTransition())return!0;for(const t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(const t in this._layers)if(this._layers[t].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(t){if(!this._loaded)return;const r=this._changed;if(r){const e=Object.keys(this._updatedLayers),r=Object.keys(this._removedLayers);(e.length||r.length)&&this._updateWorkerLayers(e,r);for(const t in this._updatedSources){const e=this._updatedSources[t];if(\"reload\"===e)this._reloadSource(t);else{if(\"clear\"!==e)throw new Error(`Invalid action ${e}`);this._clearSource(t)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(const e in this._updatedPaintProps)this._layers[e].updateTransitions(t);this.light.updateTransitions(t),this.sky.updateTransitions(t),this._resetUpdates()}const n={};for(const t in this.sourceCaches){const e=this.sourceCaches[t];n[t]=e.used,e.used=!1}for(const e of this._order){const r=this._layers[e];r.recalculate(t,this._availableImages),!r.isHidden(t.zoom)&&r.source&&(this.sourceCaches[r.source].used=!0)}for(const t in n){const r=this.sourceCaches[t];!!n[t]!=!!r.used&&r.fire(new e.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:t}))}this.light.recalculate(t),this.sky.recalculate(t),this.z=t.zoom,r&&this.fire(new e.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){const t=Object.keys(this._changedImages);if(t.length){for(const e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(const t in this.sourceCaches)this.sourceCaches[t].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(t,e){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(t),removedIds:e})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(t,r={}){var n;this._checkLoaded();const i=this.serialize();if(t=r.transformStyle?r.transformStyle(i,t):t,(null===(n=r.validate)||void 0===n||n)&&fe(this,e.x(t)))return!1;(t=e.aC(t)).layers=e.aA(t.layers);const a=e.aD(i,t),o=this._getOperationsToPerform(a);if(o.unimplemented.length>0)throw new Error(`Unimplemented: ${o.unimplemented.join(\", \")}.`);if(0===o.operations.length)return!1;for(const t of o.operations)t();return this.stylesheet=t,this._serializedLayers=null,!0}_getOperationsToPerform(t){const e=[],r=[];for(const n of t)switch(n.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":e.push((()=>this.addLayer.apply(this,n.args)));break;case\"removeLayer\":e.push((()=>this.removeLayer.apply(this,n.args)));break;case\"setPaintProperty\":e.push((()=>this.setPaintProperty.apply(this,n.args)));break;case\"setLayoutProperty\":e.push((()=>this.setLayoutProperty.apply(this,n.args)));break;case\"setFilter\":e.push((()=>this.setFilter.apply(this,n.args)));break;case\"addSource\":e.push((()=>this.addSource.apply(this,n.args)));break;case\"removeSource\":e.push((()=>this.removeSource.apply(this,n.args)));break;case\"setLayerZoomRange\":e.push((()=>this.setLayerZoomRange.apply(this,n.args)));break;case\"setLight\":e.push((()=>this.setLight.apply(this,n.args)));break;case\"setGeoJSONSourceData\":e.push((()=>this.setGeoJSONSourceData.apply(this,n.args)));break;case\"setGlyphs\":e.push((()=>this.setGlyphs.apply(this,n.args)));break;case\"setSprite\":e.push((()=>this.setSprite.apply(this,n.args)));break;case\"setSky\":e.push((()=>this.setSky.apply(this,n.args)));break;case\"setTerrain\":e.push((()=>this.map.setTerrain.apply(this,n.args)));break;case\"setTransition\":e.push((()=>{}));break;default:r.push(n.command)}return{operations:e,unimplemented:r}}addImage(t,r){if(this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" already exists.`)));this.imageManager.addImage(t,r),this._afterImageUpdated(t)}updateImage(t,e){this.imageManager.updateImage(t,e)}getImage(t){return this.imageManager.getImage(t)}removeImage(t){if(!this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" does not exist.`)));this.imageManager.removeImage(t),this._afterImageUpdated(t)}_afterImageUpdated(t){this._availableImages=this.imageManager.listImages(),this._changedImages[t]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(t,r,n={}){if(this._checkLoaded(),void 0!==this.sourceCaches[t])throw new Error(`Source \"${t}\" already exists.`);if(!r.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(r).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(e.x.source,`sources.${t}`,r,null,n))return;this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);const i=this.sourceCaches[t]=new dt(t,r,this.dispatcher);i.style=this,i.setEventedParent(this,(()=>({isSourceLoaded:i.loaded(),source:i.serialize(),sourceId:t}))),i.onAdd(this.map),this._changed=!0}removeSource(t){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(\"There is no source with this ID\");for(const r in this._layers)if(this._layers[r].source===t)return this.fire(new e.j(new Error(`Source \"${t}\" cannot be removed while layer \"${r}\" is using it.`)));const r=this.sourceCaches[t];delete this.sourceCaches[t],delete this._updatedSources[t],r.fire(new e.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:t})),r.setEventedParent(null),r.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(t,e){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(`There is no source with this ID=${t}`);const r=this.sourceCaches[t].getSource();if(\"geojson\"!==r.type)throw new Error(`geojsonSource.type is ${r.type}, which is !== 'geojson`);r.setData(e),this._changed=!0}getSource(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()}addLayer(t,r,n={}){this._checkLoaded();const i=t.id;if(this.getLayer(i))return void this.fire(new e.j(new Error(`Layer \"${i}\" already exists on this map.`)));let a;if(\"custom\"===t.type){if(fe(this,e.aE(t)))return;a=e.aB(t)}else{if(\"source\"in t&&\"object\"==typeof t.source&&(this.addSource(i,t.source),t=e.aC(t),t=e.e(t,{source:i})),this._validate(e.x.layer,`layers.${i}`,t,{arrayIndex:-1},n))return;a=e.aB(t),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}})}const o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new e.j(new Error(`Cannot add layer \"${i}\" before non-existing layer \"${r}\".`)));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){const t=this._removedLayers[i];delete this._removedLayers[i],t.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}moveLayer(t,r){if(this._checkLoaded(),this._changed=!0,!this._layers[t])return void this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be moved.`)));if(t===r)return;const n=this._order.indexOf(t);this._order.splice(n,1);const i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new e.j(new Error(`Cannot move layer \"${t}\" before non-existing layer \"${r}\".`))):(this._order.splice(i,0,t),this._layerOrderChanged=!0)}removeLayer(t){this._checkLoaded();const r=this._layers[t];if(!r)return void this.fire(new e.j(new Error(`Cannot remove non-existing layer \"${t}\".`)));r.setEventedParent(null);const n=this._order.indexOf(t);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[t]=r,delete this._layers[t],this._serializedLayers&&delete this._serializedLayers[t],delete this._updatedLayers[t],delete this._updatedPaintProps[t],r.onRemove&&r.onRemove(this.map)}getLayer(t){return this._layers[t]}getLayersOrder(){return[...this._order]}hasLayer(t){return t in this._layers}setLayerZoomRange(t,r,n){this._checkLoaded();const i=this.getLayer(t);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new e.j(new Error(`Cannot set the zoom range of non-existing layer \"${t}\".`)))}setFilter(t,r,n={}){this._checkLoaded();const i=this.getLayer(t);if(i){if(!e.aF(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(e.x.filter,`layers.${i.id}.filter`,r,null,n)||(i.filter=e.aC(r),this._updateLayer(i)))}else this.fire(new e.j(new Error(`Cannot filter non-existing layer \"${t}\".`)))}getFilter(t){return e.aC(this.getLayer(t).filter)}setLayoutProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getLayoutProperty(t,r){const n=this.getLayer(t);if(n)return n.getLayoutProperty(r);this.fire(new e.j(new Error(`Cannot get style of non-existing layer \"${t}\".`)))}setPaintProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[t]=!0,this._serializedLayers=null):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getPaintProperty(t,e){return this.getLayer(t).getPaintProperty(e)}setFeatureState(t,r){this._checkLoaded();const n=t.source,i=t.sourceLayer,a=this.sourceCaches[n];if(void 0===a)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const o=a.getSource().type;\"geojson\"===o&&i?this.fire(new e.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,t.id,r)):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(t,r){this._checkLoaded();const n=t.source,i=this.sourceCaches[n];if(void 0===i)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const a=i.getSource().type,o=\"vector\"===a?t.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof t.id&&\"number\"!=typeof t.id?this.fire(new e.j(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,t.id,r):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(t){this._checkLoaded();const r=t.source,n=t.sourceLayer,i=this.sourceCaches[r];if(void 0!==i)return\"vector\"!==i.getSource().type||n?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,t.id)):void this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new e.j(new Error(`The source '${r}' does not exist in the map's style.`)))}getTransition(){return e.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;const t=e.aG(this.sourceCaches,(t=>t.serialize())),r=this._serializeByIds(this._order),n=this.map.getTerrain()||void 0,i=this.stylesheet;return e.aH({version:i.version,name:i.name,metadata:i.metadata,light:i.light,sky:i.sky,center:i.center,zoom:i.zoom,bearing:i.bearing,pitch:i.pitch,sprite:i.sprite,glyphs:i.glyphs,transition:i.transition,sources:t,layers:r,terrain:n},(t=>void 0!==t))}_updateLayer(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(t){const e=t=>\"fill-extrusion\"===this._layers[t].type,r={},n=[];for(let i=this._order.length-1;i>=0;i--){const a=this._order[i];if(e(a)){r[a]=i;for(const e of t){const t=e[a];if(t)for(const e of t)n.push(e)}}}n.sort(((t,e)=>e.intersectionZ-t.intersectionZ));const i=[];for(let a=this._order.length-1;a>=0;a--){const o=this._order[a];if(e(o))for(let t=n.length-1;t>=0;t--){const e=n[t].feature;if(r[e.layer.id]<a)break;i.push(e),n.pop()}else for(const e of t){const t=e[o];if(t)for(const e of t)i.push(e.feature)}}return i}queryRenderedFeatures(t,r,n){r&&r.filter&&this._validate(e.x.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);const i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new e.j(new Error(\"parameters.layers must be an Array.\"))),[];for(const t of r.layers){const r=this._layers[t];if(!r)return this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be queried for features.`))),[];i[r.source]=!0}}const a=[];r.availableImages=this._availableImages;const o=this._serializedAllLayers();for(const e in this.sourceCaches)r.layers&&!i[e]||a.push(Z(this.sourceCaches[e],this._layers,o,t,r,n));return this.placement&&a.push(function(t,e,r,n,i,a,o){const s={},l=a.queryRenderedSymbols(n),c=[];for(const t of Object.keys(l).map(Number))c.push(o[t]);c.sort(W);for(const r of c){const n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(const t in n){const e=s[t]=s[t]||[],i=n[t];i.sort(((t,e)=>{const n=r.featureSortOrder;if(n){const r=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-r}return e.featureIndex-t.featureIndex}));for(const t of i)e.push(t)}}for(const e in s)s[e].forEach((n=>{const i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}));return s}(this._layers,o,this.sourceCaches,t,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(a)}querySourceFeatures(t,r){r&&r.filter&&this._validate(e.x.filter,\"querySourceFeatures.filter\",r.filter,null,r);const n=this.sourceCaches[t];return n?function(t,e){const r=t.getRenderableIds().map((e=>t.getTileByID(e))),n=[],i={};for(let t=0;t<r.length;t++){const a=r[t],o=a.tileID.canonical.key;i[o]||(i[o]=!0,a.querySourceFeatures(n,e))}return n}(n,r):[]}getLight(){return this.light.getLight()}setLight(t,r={}){this._checkLoaded();const n=this.light.getLight();let i=!1;for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(t,r),this.light.updateTransitions(o)}getSky(){var t;return null===(t=this.stylesheet)||void 0===t?void 0:t.sky}setSky(t,r={}){const n=this.sky.getSky();let i=!1;t||n&&(i=!0);for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=t,this.sky.setSky(t,r),this.sky.updateTransitions(o)}_validate(t,r,n,i,a={}){return(!a||!1!==a.validate)&&fe(this,t.call(e.x,e.e({key:r,style:this.serialize(),value:n,styleSpec:e.v},i)))}_remove(t=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),ut().off(st,this._rtlPluginLoaded);for(const t in this._layers)this._layers[t].setEventedParent(null);for(const t in this.sourceCaches){const e=this.sourceCaches[t];e.setEventedParent(null),e.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),t&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(t)}_clearSource(t){this.sourceCaches[t].clearTiles()}_reloadSource(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()}_updateSources(t){for(const e in this.sourceCaches)this.sourceCaches[e].update(t,this.map.terrain)}_generateCollisionBoxes(){for(const t in this.sourceCaches)this._reloadSource(t)}_updatePlacement(t,e,r,n,i=!1){let o=!1,s=!1;const l={};for(const e of this._order){const r=this._layers[e];if(\"symbol\"!==r.type)continue;if(!l[r.source]){const t=this.sourceCaches[r.source];l[r.source]=t.getRenderableIds(!0).map((e=>t.getTileByID(e))).sort(((t,e)=>e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)))}const n=this.crossTileSymbolIndex.addLayer(r,l[r.source],t.center.lng);o=o||n}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now(),t.zoom))&&(this.pauseablePlacement=new oe(t,this.map.terrain,this._order,i,e,r,n,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(a.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(const t of this._order){const e=this._layers[t];\"symbol\"===e.type&&this.placement.updateLayerOpacities(e,l[e.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())}_releaseSymbolFadeTiles(){for(const t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()}getImages(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.imageManager.getImages(r.icons);this._updateTilesForChangedImages();const e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,r.icons),t}))}getGlyphs(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.glyphManager.getGlyphs(r.stacks),e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,[\"\"]),t}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(t,r={}){this._checkLoaded(),t&&this._validate(e.x.glyphs,\"glyphs\",t,null,r)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=t,this.glyphManager.entries={},this.glyphManager.setURL(t))}addSprite(t,r,n={},i){this._checkLoaded();const a=[{id:t,url:r}],o=[...x(this.stylesheet.sprite),...a];this._validate(e.x.sprite,\"sprite\",o,null,n)||(this.stylesheet.sprite=o,this._loadSprite(a,!0,i))}removeSprite(t){this._checkLoaded();const r=x(this.stylesheet.sprite);if(r.find((e=>e.id===t))){if(this._spritesImagesIds[t])for(const e of this._spritesImagesIds[t])this.imageManager.removeImage(e),this._changedImages[e]=!0;r.splice(r.findIndex((e=>e.id===t)),1),this.stylesheet.sprite=r.length>0?r:void 0,delete this._spritesImagesIds[t],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}else this.fire(new e.j(new Error(`Sprite \"${t}\" doesn't exists on this map.`)))}getSprite(){return x(this.stylesheet.sprite)}setSprite(t,r={},n){this._checkLoaded(),t&&this._validate(e.x.sprite,\"sprite\",t,null,r)||(this.stylesheet.sprite=t,t?this._loadSprite(t,!0,n):(this._unloadSprite(),n&&n(null)))}}var me=e.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);const ge={prelude:ye(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\n\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\\n#ifdef TERRAIN3D\\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\\n#endif\\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\\n#ifdef TERRAIN3D\\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\\n#else\\nreturn 1.0;\\n#endif\\n}float calculate_visibility(vec4 pos) {\\n#ifdef TERRAIN3D\\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\\n#else\\nreturn 1.0;\\n#endif\\n}float ele(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\\n#else\\nreturn 0.0;\\n#endif\\n}float get_elevation(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\\n#else\\nreturn 0.0;\\n#endif\\n}\"),background:ye(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:ye(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:ye(\"varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),clippingMask:ye(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:ye(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),heatmapTexture:ye(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:ye(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:ye(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:ye(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:ye(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),fillOutline:ye(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillOutlinePattern:ye(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillPattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),fillExtrusion:ye(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),fillExtrusionPattern:ye(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),hillshadePrepare:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:ye(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:ye(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_width2=vec2(outset,inset);}\"),lineGradient:ye(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_width2=vec2(outset,inset);}\"),linePattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),lineSDF:ye(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),raster:ye(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:ye(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}\"),symbolSDF:ye(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),symbolTextAndIcon:ye(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\"),terrain:ye(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:ye(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:ye(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:ye(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function ye(t,e){const r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,((t,e,r,n,i)=>(s[i]=!0,\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:`\\n#ifdef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`))),vertexSource:e=e.replace(r,((t,e,r,n,i)=>{const a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`})),staticAttributes:n,staticUniforms:o}}class ve{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(t,e,r,n,i,a,o,s,l){this.context=t;let c=this.boundPaintVertexBuffers.length!==n.length;for(let t=0;!c&&t<n.length;t++)this.boundPaintVertexBuffers[t]!==n[t]&&(c=!0);!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||c||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s||this.boundDynamicVertexBuffer3!==l?this.freshBind(e,r,n,i,a,o,s,l):(t.bindVertexArray.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind(),l&&l.bind())}freshBind(t,e,r,n,i,a,o,s){const l=t.numAttributes,c=this.context,u=c.gl;this.vao&&this.destroy(),this.vao=c.createVertexArray(),c.bindVertexArray.set(this.vao),this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o,this.boundDynamicVertexBuffer3=s,e.enableAttributes(u,t);for(const e of r)e.enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),s&&s.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(const e of r)e.bind(),e.setVertexAttribPointers(u,t,i);a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),s&&(s.bind(),s.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}const xe=(t,r,n,i,a)=>({u_matrix:t,u_texture:0,u_ele_delta:r,u_fog_matrix:n,u_fog_color:i?i.properties.get(\"fog-color\"):e.aN.white,u_fog_ground_blend:i?i.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:i?i.calculateFogBlendOpacity(a):0,u_horizon_color:i?i.properties.get(\"horizon-color\"):e.aN.white,u_horizon_fog_blend:i?i.properties.get(\"horizon-fog-blend\"):1});function _e(t){const e=[];for(let r=0;r<t.length;r++){if(null===t[r])continue;const n=t[r].split(\" \");e.push(n.pop())}return e}class be{constructor(t,r,n,i,a,o){const s=t.gl;this.program=s.createProgram();const l=_e(r.staticAttributes),c=n?n.getBinderAttributes():[],u=l.concat(c),h=ge.prelude.staticUniforms?_e(ge.prelude.staticUniforms):[],f=r.staticUniforms?_e(r.staticUniforms):[],p=n?n.getBinderUniforms():[],d=h.concat(f).concat(p),m=[];for(const t of d)m.indexOf(t)<0&&m.push(t);const g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\"),o&&g.push(\"#define TERRAIN3D;\");const y=g.concat(ge.prelude.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(ge.prelude.vertexSource,r.vertexSource).join(\"\\n\"),x=s.createShader(s.FRAGMENT_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(x,y),s.compileShader(x),!s.getShaderParameter(x,s.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${s.getShaderInfoLog(x)}`);s.attachShader(this.program,x);const _=s.createShader(s.VERTEX_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(_,v),s.compileShader(_),!s.getShaderParameter(_,s.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${s.getShaderInfoLog(_)}`);s.attachShader(this.program,_),this.attributes={};const b={};this.numAttributes=u.length;for(let t=0;t<this.numAttributes;t++)u[t]&&(s.bindAttribLocation(this.program,t,u[t]),this.attributes[u[t]]=t);if(s.linkProgram(this.program),!s.getProgramParameter(this.program,s.LINK_STATUS))throw new Error(`Program failed to link: ${s.getProgramInfoLog(this.program)}`);s.deleteShader(_),s.deleteShader(x);for(let t=0;t<m.length;t++){const e=m[t];if(e&&!b[e]){const t=s.getUniformLocation(this.program,e);t&&(b[e]=t)}}this.fixedUniforms=i(t,b),this.terrainUniforms=((t,r)=>({u_depth:new e.aI(t,r.u_depth),u_terrain:new e.aI(t,r.u_terrain),u_terrain_dim:new e.aJ(t,r.u_terrain_dim),u_terrain_matrix:new e.aK(t,r.u_terrain_matrix),u_terrain_unpack:new e.aL(t,r.u_terrain_unpack),u_terrain_exaggeration:new e.aJ(t,r.u_terrain_exaggeration)}))(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}draw(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=t.gl;if(this.failedToCreate)return;if(t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),s){t.activeTexture.set(v.TEXTURE2),v.bindTexture(v.TEXTURE_2D,s.depthTexture),t.activeTexture.set(v.TEXTURE3),v.bindTexture(v.TEXTURE_2D,s.texture);for(const t in this.terrainUniforms)this.terrainUniforms[t].set(s[t])}for(const t in this.fixedUniforms)this.fixedUniforms[t].set(o[t]);d&&d.setUniforms(t,this.binderUniforms,f,{zoom:p});let x=0;switch(e){case v.LINES:x=2;break;case v.TRIANGLES:x=3;break;case v.LINE_STRIP:x=1}for(const r of h.get()){const n=r.vaos||(r.vaos={});(n[l]||(n[l]=new ve)).bind(t,this,c,d?d.getPaintVertexBuffers():[],u,r.vertexOffset,m,g,y),v.drawElements(e,r.primitiveLength*x,v.UNSIGNED_SHORT,r.primitiveOffset*x*2)}}}function we(t,e,r){const n=1/Nt(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}const Te=(t,r,n,i)=>{const a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=function(){var t=new e.A(9);return e.A!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t}();\"viewport\"===a.properties.get(\"anchor\")&&function(t,e){var r=Math.sin(e),n=Math.cos(e);t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1}(l,-r.transform.angle),function(t,e,r){var n=e[0],i=e[1],a=e[2];t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8]}(s,s,l);const c=a.properties.get(\"color\");return{u_matrix:t,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},ke=(t,r,n,i,a,o,s)=>e.e(Te(t,r,n,i),we(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8}),Ae=t=>({u_matrix:t}),Me=(t,r,n,i)=>e.e(Ae(t),we(n,r,i)),Se=(t,e)=>({u_matrix:t,u_world:e}),Ee=(t,r,n,i,a)=>e.e(Me(t,r,n,i),{u_world:a}),Ce=(t,e,r,n)=>{const i=t.transform;let a,o;if(\"map\"===n.paint.get(\"circle-pitch-alignment\")){const t=Nt(r,1,i.zoom);a=!0,o=[t,t]}else a=!1,o=i.pixelsToGLUnits;return{u_camera_to_center_distance:i.cameraToCenterDistance,u_scale_with_map:+(\"map\"===n.paint.get(\"circle-pitch-scale\")),u_matrix:t.translatePosMatrix(e.posMatrix,r,n.paint.get(\"circle-translate\"),n.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.pixelRatio,u_extrude_scale:o}},Le=(t,e)=>({u_matrix:e,u_pixel_extrude_scale:[1/t.width,1/t.height]}),Ie=(t,e,r)=>({u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}),Pe=(t,e,r=1)=>({u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}),ze=t=>({u_matrix:t}),Oe=(t,e,r,n)=>({u_matrix:t,u_extrude_scale:Nt(e,1,r),u_intensity:n}),De=(t,r,n,i)=>{const a=e.H();e.aQ(a,0,t.width,t.height,0,0,1);const o=t.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Re=(t,e,r,n)=>{const i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\");let s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=t.transform.angle);const l=!t.options.moving;return{u_matrix:n?n.posMatrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),l),u_image:0,u_latrange:Be(0,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Fe=(t,r)=>{const n=r.stride,i=e.H();return e.aQ(i,0,e.X,-e.X,0,0,1),e.J(i,i,[0,-e.X,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:t.overscaledZ,u_unpack:r.getUnpackVector()}};function Be(t,r){const n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new e.Z(0,i/n).toLngLat().lat,new e.Z(0,(i+1)/n).toLngLat().lat]}const Ne=(t,e,r,n)=>{const i=t.transform;return{u_matrix:He(t,e,r,n),u_ratio:1/Nt(e,1,i.zoom),u_device_pixel_ratio:t.pixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},je=(t,r,n,i,a)=>e.e(Ne(t,r,n,a),{u_image:0,u_image_height:i}),Ue=(t,e,r,n,i)=>{const a=t.transform,o=qe(e,a);return{u_matrix:He(t,e,r,i),u_texsize:e.imageAtlasTexture.size,u_ratio:1/Nt(e,1,a.zoom),u_device_pixel_ratio:t.pixelRatio,u_image:0,u_scale:[o,n.fromScale,n.toScale],u_fade:n.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ve=(t,r,n,i,a,o)=>{const s=t.transform,l=t.lineAtlas,c=qe(r,s),u=\"round\"===n.layout.get(\"line-cap\"),h=l.getDash(i.from,u),f=l.getDash(i.to,u),p=h.width*a.fromScale,d=f.width*a.toScale;return e.e(Ne(t,r,n,o),{u_patternscale_a:[c/p,-h.height/2],u_patternscale_b:[c/d,-f.height/2],u_sdfgamma:l.width/(256*Math.min(p,d)*t.pixelRatio)/2,u_image:0,u_tex_y_a:h.y,u_tex_y_b:f.y,u_mix:a.t})};function qe(t,e){return 1/Nt(t,1,e.tileZoom)}function He(t,e,r,n){return t.translatePosMatrix(n?n.posMatrix:e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}const Ge=(t,e,r,n,i)=>{return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Ze(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ze(t){t*=Math.PI/180;const e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}const We=(t,e,r,n,i,a,o,s,l,c,u,h,f,p)=>{const d=o.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:d.cameraToCenterDistance,u_pitch:d.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:d.width/d.height,u_fade_change:o.options.fadeDuration?o.symbolFadeChange:1,u_matrix:s,u_label_plane_matrix:l,u_coord_matrix:c,u_is_text:+h,u_pitch_with_map:+n,u_is_along_line:i,u_is_variable_anchor:a,u_texsize:f,u_texture:0,u_translation:u,u_pitched_scale:p}},Ye=(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m)=>{const g=s.transform;return e.e(We(t,r,n,i,a,o,s,l,c,u,h,f,p,m),{u_gamma_scale:i?Math.cos(g._pitch)*g.cameraToCenterDistance:1,u_device_pixel_ratio:s.pixelRatio,u_is_halo:+d})},Xe=(t,r,n,i,a,o,s,l,c,u,h,f,p,d)=>e.e(Ye(t,r,n,i,a,o,s,l,c,u,h,!0,f,!0,d),{u_texsize_icon:p,u_texture_icon:1}),$e=(t,e,r)=>({u_matrix:t,u_opacity:e,u_color:r}),Je=(t,r,n,i,a,o)=>e.e(function(t,e,r,n){const i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),{width:o,height:s}=r.imageManager.getPixelSize(),l=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/l,u=c*(n.tileID.canonical.x+n.tileID.wrap*l),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[o,s],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/Nt(n,1,r.transform.tileZoom),u_pixel_coord_upper:[u>>16,h>>16],u_pixel_coord_lower:[65535&u,65535&h]}}(i,o,n,a),{u_matrix:t,u_opacity:r}),Ke={fillExtrusion:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_opacity:new e.aJ(t,r.u_opacity)}),fillExtrusionPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_height_factor:new e.aJ(t,r.u_height_factor),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade),u_opacity:new e.aJ(t,r.u_opacity)}),fill:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),fillPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),fillOutline:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world)}),fillOutlinePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),circle:(t,r)=>({u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_scale_with_map:new e.aI(t,r.u_scale_with_map),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_extrude_scale:new e.aP(t,r.u_extrude_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_matrix:new e.aK(t,r.u_matrix)}),collisionBox:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_pixel_extrude_scale:new e.aP(t,r.u_pixel_extrude_scale)}),collisionCircle:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_inv_matrix:new e.aK(t,r.u_inv_matrix),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_viewport_size:new e.aP(t,r.u_viewport_size)}),debug:(t,r)=>({u_color:new e.aM(t,r.u_color),u_matrix:new e.aK(t,r.u_matrix),u_overlay:new e.aI(t,r.u_overlay),u_overlay_scale:new e.aJ(t,r.u_overlay_scale)}),clippingMask:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),heatmap:(t,r)=>({u_extrude_scale:new e.aJ(t,r.u_extrude_scale),u_intensity:new e.aJ(t,r.u_intensity),u_matrix:new e.aK(t,r.u_matrix)}),heatmapTexture:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_color_ramp:new e.aI(t,r.u_color_ramp),u_opacity:new e.aJ(t,r.u_opacity)}),hillshade:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_latrange:new e.aP(t,r.u_latrange),u_light:new e.aP(t,r.u_light),u_shadow:new e.aM(t,r.u_shadow),u_highlight:new e.aM(t,r.u_highlight),u_accent:new e.aM(t,r.u_accent)}),hillshadePrepare:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_dimension:new e.aP(t,r.u_dimension),u_zoom:new e.aJ(t,r.u_zoom),u_unpack:new e.aL(t,r.u_unpack)}),line:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels)}),lineGradient:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_image:new e.aI(t,r.u_image),u_image_height:new e.aJ(t,r.u_image_height)}),linePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texsize:new e.aP(t,r.u_texsize),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_image:new e.aI(t,r.u_image),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),lineSDF:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_patternscale_a:new e.aP(t,r.u_patternscale_a),u_patternscale_b:new e.aP(t,r.u_patternscale_b),u_sdfgamma:new e.aJ(t,r.u_sdfgamma),u_image:new e.aI(t,r.u_image),u_tex_y_a:new e.aJ(t,r.u_tex_y_a),u_tex_y_b:new e.aJ(t,r.u_tex_y_b),u_mix:new e.aJ(t,r.u_mix)}),raster:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_tl_parent:new e.aP(t,r.u_tl_parent),u_scale_parent:new e.aJ(t,r.u_scale_parent),u_buffer_scale:new e.aJ(t,r.u_buffer_scale),u_fade_t:new e.aJ(t,r.u_fade_t),u_opacity:new e.aJ(t,r.u_opacity),u_image0:new e.aI(t,r.u_image0),u_image1:new e.aI(t,r.u_image1),u_brightness_low:new e.aJ(t,r.u_brightness_low),u_brightness_high:new e.aJ(t,r.u_brightness_high),u_saturation_factor:new e.aJ(t,r.u_saturation_factor),u_contrast_factor:new e.aJ(t,r.u_contrast_factor),u_spin_weights:new e.aO(t,r.u_spin_weights)}),symbolIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolSDF:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolTextAndIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texsize_icon:new e.aP(t,r.u_texsize_icon),u_texture:new e.aI(t,r.u_texture),u_texture_icon:new e.aI(t,r.u_texture_icon),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),background:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_color:new e.aM(t,r.u_color)}),backgroundPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_image:new e.aI(t,r.u_image),u_pattern_tl_a:new e.aP(t,r.u_pattern_tl_a),u_pattern_br_a:new e.aP(t,r.u_pattern_br_a),u_pattern_tl_b:new e.aP(t,r.u_pattern_tl_b),u_pattern_br_b:new e.aP(t,r.u_pattern_br_b),u_texsize:new e.aP(t,r.u_texsize),u_mix:new e.aJ(t,r.u_mix),u_pattern_size_a:new e.aP(t,r.u_pattern_size_a),u_pattern_size_b:new e.aP(t,r.u_pattern_size_b),u_scale_a:new e.aJ(t,r.u_scale_a),u_scale_b:new e.aJ(t,r.u_scale_b),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_tile_units_to_pixels:new e.aJ(t,r.u_tile_units_to_pixels)}),terrain:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_ele_delta:new e.aJ(t,r.u_ele_delta),u_fog_matrix:new e.aK(t,r.u_fog_matrix),u_fog_color:new e.aM(t,r.u_fog_color),u_fog_ground_blend:new e.aJ(t,r.u_fog_ground_blend),u_fog_ground_blend_opacity:new e.aJ(t,r.u_fog_ground_blend_opacity),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon_fog_blend:new e.aJ(t,r.u_horizon_fog_blend)}),terrainDepth:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),terrainCoords:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_terrain_coords_id:new e.aJ(t,r.u_terrain_coords_id),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),sky:(t,r)=>({u_sky_color:new e.aM(t,r.u_sky_color),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon:new e.aJ(t,r.u_horizon),u_sky_horizon_blend:new e.aJ(t,r.u_sky_horizon_blend)})};class Qe{constructor(t,e,r){this.context=t;const n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(t){const e=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const tr={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class er{constructor(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;const i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(t){if(t.length!==this.length)throw new Error(`Length of new data is ${t.length}, which doesn't match current length of ${this.length}`);const e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)}enableAttributes(t,e){for(let r=0;r<this.attributes.length;r++){const n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}}setVertexAttribPointers(t,e,r){for(let n=0;n<this.attributes.length;n++){const i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[tr[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const rr=new WeakMap;function nr(t){var e;if(rr.has(t))return rr.get(t);{const r=null===(e=t.getParameter(t.VERSION))||void 0===e?void 0:e.startsWith(\"WebGL 2.0\");return rr.set(t,r),r}}class ir{constructor(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(t){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class ar extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class or extends ir{getDefault(){return 1}set(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)}}class sr extends ir{getDefault(){return 0}set(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)}}class lr extends ir{getDefault(){return[!0,!0,!0,!0]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class cr extends ir{getDefault(){return!0}set(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)}}class ur extends ir{getDefault(){return 255}set(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)}}class hr extends ir{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(t){const e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)}}class fr extends ir{getDefault(){const t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)}}class pr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}}class dr extends ir{getDefault(){return[0,1]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)}}class mr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}}class gr extends ir{getDefault(){return this.gl.LESS}set(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)}}class yr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}}class vr extends ir{getDefault(){const t=this.gl;return[t.ONE,t.ZERO]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)}}class xr extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class _r extends ir{getDefault(){return this.gl.FUNC_ADD}set(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)}}class br extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}}class wr extends ir{getDefault(){return this.gl.BACK}set(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)}}class Tr extends ir{getDefault(){return this.gl.CCW}set(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)}}class kr extends ir{getDefault(){return null}set(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)}}class Ar extends ir{getDefault(){return this.gl.TEXTURE0}set(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)}}class Mr extends ir{getDefault(){const t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class Sr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}}class Er extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Cr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}}class Lr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Ir extends ir{getDefault(){return null}set(t){const e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Pr extends ir{getDefault(){return null}set(t){var e;if(t===this.current&&!this.dirty)return;const r=this.gl;nr(r)?r.bindVertexArray(t):null===(e=r.getExtension(\"OES_vertex_array_object\"))||void 0===e||e.bindVertexArrayOES(t),this.current=t,this.dirty=!1}}class zr extends ir{getDefault(){return 4}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}}class Or extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}}class Dr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}}class Rr extends ir{constructor(t,e){super(t),this.context=t,this.parent=e}getDefault(){return null}}class Fr extends Rr{setDirty(){this.dirty=!0}set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}}class Br extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Nr extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_STENCIL_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class jr{constructor(t,e,r,n,i){this.context=t,this.width=e,this.height=r;const a=t.gl,o=this.framebuffer=a.createFramebuffer();if(this.colorAttachment=new Fr(t,o),n)this.depthAttachment=i?new Nr(t,o):new Br(t,o);else if(i)throw new Error(\"Stencil cannot be set without depth\");if(a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){const t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){const e=this.depthAttachment.get();e&&t.deleteRenderbuffer(e)}t.deleteFramebuffer(this.framebuffer)}}class Ur{constructor(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r}}Ur.Replace=[1,0],Ur.disabled=new Ur(Ur.Replace,e.aN.transparent,[!1,!1,!1,!1]),Ur.unblended=new Ur(Ur.Replace,e.aN.transparent,[!0,!0,!0,!0]),Ur.alphaBlended=new Ur([1,771],e.aN.transparent,[!0,!0,!0,!0]);class Vr{constructor(t){var e,r;if(this.gl=t,this.clearColor=new ar(this),this.clearDepth=new or(this),this.clearStencil=new sr(this),this.colorMask=new lr(this),this.depthMask=new cr(this),this.stencilMask=new ur(this),this.stencilFunc=new hr(this),this.stencilOp=new fr(this),this.stencilTest=new pr(this),this.depthRange=new dr(this),this.depthTest=new mr(this),this.depthFunc=new gr(this),this.blend=new yr(this),this.blendFunc=new vr(this),this.blendColor=new xr(this),this.blendEquation=new _r(this),this.cullFace=new br(this),this.cullFaceSide=new wr(this),this.frontFace=new Tr(this),this.program=new kr(this),this.activeTexture=new Ar(this),this.viewport=new Mr(this),this.bindFramebuffer=new Sr(this),this.bindRenderbuffer=new Er(this),this.bindTexture=new Cr(this),this.bindVertexBuffer=new Lr(this),this.bindElementBuffer=new Ir(this),this.bindVertexArray=new Pr(this),this.pixelStoreUnpack=new zr(this),this.pixelStoreUnpackPremultiplyAlpha=new Or(this),this.pixelStoreUnpackFlipY=new Dr(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),nr(t)){this.HALF_FLOAT=t.HALF_FLOAT;const n=t.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=null!==(e=t.RGBA16F)&&void 0!==e?e:null==n?void 0:n.RGBA16F_EXT,this.RGB16F=null!==(r=t.RGB16F)&&void 0!==r?r:null==n?void 0:n.RGB16F_EXT,t.getExtension(\"EXT_color_buffer_float\")}else{t.getExtension(\"EXT_color_buffer_half_float\"),t.getExtension(\"OES_texture_half_float_linear\");const e=t.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=null==e?void 0:e.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(t,e){return new Qe(this,t,e)}createVertexBuffer(t,e,r){return new er(this,t,e,r)}createRenderbuffer(t,e,r){const n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i}createFramebuffer(t,e,r,n){return new jr(this,t,e,r,n)}clear({color:t,depth:e,stencil:r}){const n=this.gl;let i=0;t&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(t),this.colorMask.set([!0,!0,!0,!0])),void 0!==e&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(e),this.depthMask.set(!0)),void 0!==r&&(i|=n.STENCIL_BUFFER_BIT,this.clearStencil.set(r),this.stencilMask.set(255)),n.clear(i)}setCullFace(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))}setDepthMode(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)}setStencilMode(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)}setColorMode(t){e.aF(t.blendFunction,Ur.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(t.blendFunction),this.blendColor.set(t.blendColor)),this.colorMask.set(t.mask)}createVertexArray(){var t;return nr(this.gl)?this.gl.createVertexArray():null===(t=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===t?void 0:t.createVertexArrayOES()}deleteVertexArray(t){var e;return nr(this.gl)?this.gl.deleteVertexArray(t):null===(e=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===e?void 0:e.deleteVertexArrayOES(t)}unbindVAO(){this.bindVertexArray.set(null)}}class qr{constructor(t,e,r){this.func=t,this.mask=e,this.range=r}}qr.ReadOnly=!1,qr.ReadWrite=!0,qr.disabled=new qr(519,qr.ReadOnly,[0,1]);const Hr=7680;class Gr{constructor(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a}}Gr.disabled=new Gr({func:519,mask:0},0,0,Hr,Hr,Hr);class Zr{constructor(t,e,r){this.enable=t,this.mode=e,this.frontFace=r}}let Wr;function Yr(t,r,n,i,a){const o=t.context,s=o.gl,l=t.useProgram(\"collisionBox\"),c=[];let u=0,h=0;for(let f=0;f<i.length;f++){const p=i[f],d=r.getTile(p).getBucket(n);if(!d)continue;const m=a?d.textCollisionBox:d.iconCollisionBox,g=d.collisionCircleArray;if(g.length>0){const r=e.H();e.aR(r,d.placementInvProjMatrix,t.transform.glCoordMatrix),e.aR(r,r,d.placementViewportMatrix),c.push({circleArray:g,circleOffset:h,transform:p.posMatrix,invTransform:r,coord:p}),u+=g.length/4,h=u}m&&l.draw(o,s.LINES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,Le(t.transform,p.posMatrix),t.style.map.terrain&&t.style.map.terrain.getTerrainData(p),n.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,null,t.transform.zoom,null,null,m.collisionVertexBuffer)}if(!a||!c.length)return;const f=t.useProgram(\"collisionCircle\"),p=new e.aS;p.resize(4*u),p._trim();let d=0;for(const t of c)for(let e=0;e<t.circleArray.length/4;e++){const r=4*e,n=t.circleArray[r+0],i=t.circleArray[r+1],a=t.circleArray[r+2],o=t.circleArray[r+3];p.emplace(d++,n,i,a,o,0),p.emplace(d++,n,i,a,o,1),p.emplace(d++,n,i,a,o,2),p.emplace(d++,n,i,a,o,3)}(!Wr||Wr.length<2*u)&&(Wr=function(t){const r=2*t,n=new e.aU;n.resize(r),n._trim();for(let t=0;t<r;t++){const e=6*t;n.uint16[e+0]=4*t+0,n.uint16[e+1]=4*t+1,n.uint16[e+2]=4*t+2,n.uint16[e+3]=4*t+2,n.uint16[e+4]=4*t+3,n.uint16[e+5]=4*t+0}return n}(u));const m=o.createIndexBuffer(Wr,!0),g=o.createVertexBuffer(p,e.aT.members,!0);for(const r of c){const i=Ie(r.transform,r.invTransform,t.transform);f.draw(o,s.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,i,t.style.map.terrain&&t.style.map.terrain.getTerrainData(r.coord),n.id,g,m,e.a0.simpleSegment(0,2*r.circleOffset,r.circleArray.length,r.circleArray.length/2),null,t.transform.zoom,null,null,null)}g.destroy(),m.destroy()}Zr.disabled=new Zr(!1,1029,2305),Zr.backCCW=new Zr(!0,1029,2305);const Xr=e.ao(new Float32Array(16));function $r(t,r,n,i,a){if(\"translucent\"!==t.renderPass)return;const o=Gr.disabled,s=t.colorModeForRenderPass();(n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(t,r,n,i,a,o,s,l,c){const u=r.transform,h=ie(),f=\"map\"===a,p=\"map\"===o;for(const a of t){const t=i.getTile(a),o=t.getBucket(n);if(!o||!o.text||!o.text.segments.get().length)continue;const d=o.textSizeData,m=e.ah(d,u.zoom),g=Nt(t,1,r.transform.zoom),y=_t(a.posMatrix,p,f,r.transform,g),v=\"none\"!==n.layout.get(\"icon-text-fit\")&&o.hasIconData();if(m){const e=Math.pow(2,u.zoom-t.tileID.overscaledZ),n=r.style.map.terrain?(t,e)=>r.style.map.terrain.getElevation(a,t,e):null,i=h.translatePosition(u,t,s,l);Qr(o,f,p,c,u,y,a.posMatrix,e,m,v,h,i,a.toUnwrapped(),n)}}}(i,t,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&en(t,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&en(t,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Yr(t,r,n,i,!0),Yr(t,r,n,i,!1))}function Jr(t,r,n,i,a,o){const{horizontalAlign:s,verticalAlign:l}=e.av(t),c=-(s-.5)*r,u=-(l-.5)*n;return new e.P((c/a+i[0])*o,(u/a+i[1])*o)}function Kr(t,r,n,i,a,o){const s=r.tileAnchorPoint.add(new e.P(r.translation[0],r.translation[1]));if(r.pitchWithMap){let t=i.mult(o);return n||(t=t.rotate(-a)),wt(s.add(t),r.labelPlaneMatrix,r.getElevation).point}if(n){const e=It(r.tileAnchorPoint.x+1,r.tileAnchorPoint.y,r).point.sub(t),n=Math.atan(e.y/e.x)+(e.x<0?Math.PI:0);return t.add(i.rotate(n))}return t.add(i)}function Qr(t,r,n,i,a,o,s,l,c,u,h,f,p,d){const m=t.text.placedSymbolArray,g=t.text.dynamicLayoutVertexArray,y=t.icon.dynamicLayoutVertexArray,v={};g.clear();for(let y=0;y<m.length;y++){const x=m.get(y),_=t.allowVerticalPlacement&&!x.placedOrientation,b=x.hidden||!x.crossTileID||_?null:i[x.crossTileID];if(b){const i=new e.P(x.anchorX,x.anchorY),m={getElevation:d,width:a.width,height:a.height,labelPlaneMatrix:o,lineVertexArray:null,pitchWithMap:n,projection:h,projectionCache:null,tileAnchorPoint:i,translation:f,unwrappedTileID:p},y=n?wt(i,s,d):It(i.x,i.y,m),_=Tt(a.cameraToCenterDistance,y.signedDistanceFromCamera);let w=e.aj(t.textSizeData,c,x)*_/e.aq;n&&(w*=t.tilePixelRatio/l);const{width:T,height:k,anchor:A,textOffset:M,textBoxScale:S}=b,E=Jr(A,T,k,M,S,w),C=h.getPitchedTextCorrection(a,i.add(new e.P(f[0],f[1])),p),L=Kr(y.point,m,r,E,a.angle,C),I=t.allowVerticalPlacement&&x.placedOrientation===e.ai.vertical?Math.PI/2:0;for(let t=0;t<x.numGlyphs;t++)e.ak(g,L,I);u&&x.associatedIconIndex>=0&&(v[x.associatedIconIndex]={shiftedAnchor:L,angle:I})}else Rt(x.numGlyphs,g)}if(u){y.clear();const r=t.icon.placedSymbolArray;for(let t=0;t<r.length;t++){const n=r.get(t);if(n.hidden)Rt(n.numGlyphs,y);else{const r=v[t];if(r)for(let t=0;t<n.numGlyphs;t++)e.ak(y,r.shiftedAnchor,r.angle);else Rt(n.numGlyphs,y)}}t.icon.dynamicLayoutVertexBuffer.updateData(y)}t.text.dynamicLayoutVertexBuffer.updateData(g)}function tn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function en(t,r,n,i,a,o,s,l,c,u,h,f){const p=t.context,d=p.gl,m=t.transform,g=ie(),y=\"map\"===l,v=\"map\"===c,x=\"viewport\"!==l&&\"point\"!==n.layout.get(\"symbol-placement\"),_=y&&!v&&!x,b=!v&&x,w=!n.layout.get(\"symbol-sort-key\").isConstant();let T=!1;const k=t.depthModeForSublayer(0,qr.ReadOnly),A=n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),M=[],S=g.getCircleRadiusCorrection(m);for(const l of i){const i=r.getTile(l),c=i.getBucket(n);if(!c)continue;const h=a?c.text:c.icon;if(!h||!h.segments.get().length||!h.hasVisibleVertices)continue;const f=h.programConfigurations.get(n.id),p=a||c.sdfIcons,k=a?c.textSizeData:c.iconSizeData,E=v||0!==m.pitch,C=t.useProgram(tn(p,a,c),f),L=e.ah(k,m.zoom),I=t.style.map.terrain&&t.style.map.terrain.getTerrainData(l);let P,z,O,D,R=[0,0],F=null;if(a){if(z=i.glyphAtlasTexture,O=d.LINEAR,P=i.glyphAtlasTexture.size,c.iconsInText){R=i.imageAtlasTexture.size,F=i.imageAtlasTexture;const e=\"composite\"===k.kind||\"camera\"===k.kind;D=E||t.options.rotating||t.options.zooming||e?d.LINEAR:d.NEAREST}}else{const e=1!==n.layout.get(\"icon-size\").constantOr(0)||c.iconsNeedLinear;z=i.imageAtlasTexture,O=p||t.options.rotating||t.options.zooming||e||E?d.LINEAR:d.NEAREST,P=i.imageAtlasTexture.size}const B=Nt(i,1,t.transform.zoom),N=b?l.posMatrix:Xr,j=_t(N,v,y,t.transform,B),U=bt(N,v,y,t.transform,B),V=bt(l.posMatrix,v,y,t.transform,B),q=g.translatePosition(t.transform,i,o,s),H=A&&c.hasTextData(),G=\"none\"!==n.layout.get(\"icon-text-fit\")&&H&&c.hasIconData();if(x){const e=t.style.map.terrain?(e,r)=>t.style.map.terrain.getElevation(l,e,r):null,r=\"map\"===n.layout.get(\"text-rotation-alignment\");At(c,l.posMatrix,t,a,j,V,v,u,r,g,l.toUnwrapped(),m.width,m.height,q,e)}const Z=l.posMatrix,W=a&&A||G,Y=x||W?Xr:j,X=U,$=p&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1);let J;J=p?c.iconsInText?Xe(k.kind,L,_,v,x,W,t,Z,Y,X,q,P,R,S):Ye(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,!0,S):We(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,S);const K={program:C,buffers:h,uniformValues:J,atlasTexture:z,atlasTextureIcon:F,atlasInterpolation:O,atlasInterpolationIcon:D,isSDF:p,hasHalo:$};if(w&&c.canOverlap){T=!0;const t=h.segments.get();for(const r of t)M.push({segments:new e.a0([r]),sortKey:r.sortKey,state:K,terrainData:I})}else M.push({segments:h.segments,sortKey:0,state:K,terrainData:I})}T&&M.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of M){const r=e.state;if(p.activeTexture.set(d.TEXTURE0),r.atlasTexture.bind(r.atlasInterpolation,d.CLAMP_TO_EDGE),r.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),r.atlasTextureIcon&&r.atlasTextureIcon.bind(r.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),r.isSDF){const i=r.uniformValues;r.hasHalo&&(i.u_is_halo=1,rn(r.buffers,e.segments,n,t,r.program,k,h,f,i,e.terrainData)),i.u_is_halo=0}rn(r.buffers,e.segments,n,t,r.program,k,h,f,r.uniformValues,e.terrainData)}}function rn(t,e,r,n,i,a,o,s,l,c){const u=n.context,h=u.gl;i.draw(u,h.TRIANGLES,a,o,s,Zr.disabled,l,c,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function nn(t,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===t.renderPass){const a=t.context,o=a.gl,s=Gr.disabled,l=new Ur([o.ONE,o.ONE],e.aN.transparent,[!0,!0,!0,!0]);(function(t,e,r){const n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);let i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{const a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1,!1),function(t,e,r,n){var i,a;const o=t.gl,s=null!==(i=t.HALF_FLOAT)&&void 0!==i?i:o.UNSIGNED_BYTE,l=null!==(a=t.RGBA16F)&&void 0!==a?a:o.RGBA;o.texImage2D(o.TEXTURE_2D,0,l,e.width/4,e.height/4,0,o.RGBA,s,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,t,n),a.clear({color:e.aN.transparent});for(let e=0;e<i.length;e++){const c=i[e];if(r.hasRenderableParent(c))continue;const u=r.getTile(c),h=u.getBucket(n);if(!h)continue;const f=h.programConfigurations.get(n.id),p=t.useProgram(\"heatmap\",f),{zoom:d}=t.transform;p.draw(a,o.TRIANGLES,qr.disabled,s,l,Zr.disabled,Oe(c.posMatrix,u,d,n.paint.get(\"heatmap-intensity\")),null,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,t.transform.zoom,f)}a.viewport.set([0,0,t.width,t.height])}else\"translucent\"===t.renderPass&&(t.context.setColorMode(t.colorModeForRenderPass()),function(t,e){const r=t.context,n=r.gl,i=e.heatmapFbo;if(!i)return;r.activeTexture.set(n.TEXTURE0),n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),r.activeTexture.set(n.TEXTURE1);let a=e.colorRampTexture;a||(a=e.colorRampTexture=new w(r,e.colorRamp,n.RGBA)),a.bind(n.LINEAR,n.CLAMP_TO_EDGE),t.useProgram(\"heatmapTexture\").draw(r,n.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,De(t,e,0,1),null,e.id,t.viewportBuffer,t.quadTriangleIndexBuffer,t.viewportSegments,e.paint,t.transform.zoom)}(t,n))}function an(t,e,r,n,i){if(!r||!n||!n.imageAtlas)return;const a=n.imageAtlas.patternPositions;let o=a[r.to.toString()],s=a[r.from.toString()];if(!o&&s&&(o=s),!s&&o&&(s=o),!o||!s){const t=i.getPaintProperty(e);o=a[t],s=a[t]}o&&s&&t.setConstantPatternPositions(o,s)}function on(t,e,r,n,i,a,o){const s=t.context.gl,l=\"fill-pattern\",c=r.paint.get(l),u=c&&c.constantOr(1),h=r.getCrossfadeParameters();let f,p,d,m,g;o?(p=u&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",f=s.LINES):(p=u?\"fillPattern\":\"fill\",f=s.TRIANGLES);const y=c.constantOr(null);for(const c of n){const n=e.getTile(c);if(u&&!n.patternsLoaded())continue;const v=n.getBucket(r);if(!v)continue;const x=v.programConfigurations.get(r.id),_=t.useProgram(p,x),b=t.style.map.terrain&&t.style.map.terrain.getTerrainData(c);u&&(t.context.activeTexture.set(s.TEXTURE0),n.imageAtlasTexture.bind(s.LINEAR,s.CLAMP_TO_EDGE),x.updatePaintBuffers(h)),an(x,l,y,n,r);const w=b?c:null,T=w?w.posMatrix:c.posMatrix,k=t.translatePosMatrix(T,n,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){m=v.indexBuffer2,g=v.segments2;const e=[s.drawingBufferWidth,s.drawingBufferHeight];d=\"fillOutlinePattern\"===p&&u?Ee(k,t,h,n,e):Se(k,e)}else m=v.indexBuffer,g=v.segments,d=u?Me(k,t,h,n):Ae(k);_.draw(t.context,f,i,t.stencilModeForClipping(c),a,Zr.disabled,d,b,r.id,v.layoutVertexBuffer,m,g,r.paint,t.transform.zoom,x)}}function sn(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=\"fill-extrusion-pattern\",u=r.paint.get(c),h=u.constantOr(1),f=r.getCrossfadeParameters(),p=r.paint.get(\"fill-extrusion-opacity\"),d=u.constantOr(null);for(const u of n){const n=e.getTile(u),m=n.getBucket(r);if(!m)continue;const g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(u),y=m.programConfigurations.get(r.id),v=t.useProgram(h?\"fillExtrusionPattern\":\"fillExtrusion\",y);h&&(t.context.activeTexture.set(l.TEXTURE0),n.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f)),an(y,c,d,n,r);const x=t.translatePosMatrix(u.posMatrix,n,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),_=r.paint.get(\"fill-extrusion-vertical-gradient\"),b=h?ke(x,t,_,p,u,f,n):Te(x,t,_,p);v.draw(s,s.gl.TRIANGLES,i,a,o,Zr.backCCW,b,g,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y,t.style.map.terrain&&m.centroidVertexBuffer)}}function ln(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=r.fbo;if(!c)return;const u=t.useProgram(\"hillshade\"),h=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());const f=h?e:null;u.draw(s,l.TRIANGLES,i,a,o,Zr.disabled,Re(t,r,n,f),h,n.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}function cn(t,e,r,n,i,a){const o=t.context,s=o.gl,l=e.dem;if(l&&l.data){const c=l.dim,u=l.stride,h=l.getPixels();if(o.activeTexture.set(s.TEXTURE1),o.pixelStoreUnpackPremultiplyAlpha.set(!1),e.demTexture=e.demTexture||t.getTileTexture(u),e.demTexture){const t=e.demTexture;t.update(h,{premultiply:!1}),t.bind(s.NEAREST,s.CLAMP_TO_EDGE)}else e.demTexture=new w(o,h,s.RGBA,{premultiply:!1}),e.demTexture.bind(s.NEAREST,s.CLAMP_TO_EDGE);o.activeTexture.set(s.TEXTURE0);let f=e.fbo;if(!f){const t=new w(o,{width:c,height:c,data:null},s.RGBA);t.bind(s.LINEAR,s.CLAMP_TO_EDGE),f=e.fbo=o.createFramebuffer(c,c,!0,!1),f.colorAttachment.set(t.texture)}o.bindFramebuffer.set(f.framebuffer),o.viewport.set([0,0,c,c]),t.useProgram(\"hillshadePrepare\").draw(o,s.TRIANGLES,n,i,a,Zr.disabled,Fe(e.tileID,l),null,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments),e.needsHillshadePrepare=!1}}function un(t,r,n,i,o,s){const l=i.paint.get(\"raster-fade-duration\");if(!s&&l>0){const i=a.now(),s=(i-t.timeAdded)/l,c=r?(i-r.timeAdded)/l:-1,u=n.getSource(),h=o.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(t.tileID.overscaledZ-h),p=f&&t.refreshedUponExpiration?1:e.ad(f?s:1-c,0,1);return t.refreshedUponExpiration&&s>=1&&(t.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}const hn=new e.aN(1,0,0,1),fn=new e.aN(0,1,0,1),pn=new e.aN(0,0,1,1),dn=new e.aN(1,0,1,1),mn=new e.aN(0,1,1,1);function gn(t){const e=t.transform.padding;yn(t,t.transform.height-(e.top||0),3,hn),yn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,pn),vn(t,t.transform.width-(e.right||0),3,dn);const r=t.transform.centerPoint;!function(t,e,r,n){const i=20,a=2;xn(t,e-a/2,r-i/2,a,i,n),xn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,mn)}function yn(t,e,r,n){xn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){xn(t,e-r/2,0,r,t.transform.height,n)}function xn(t,e,r,n,i,a){const o=t.context,s=o.gl;s.enable(s.SCISSOR_TEST),s.scissor(e*t.pixelRatio,r*t.pixelRatio,n*t.pixelRatio,i*t.pixelRatio),o.clear({color:a}),s.disable(s.SCISSOR_TEST)}function _n(t,r,n){const i=t.context,a=i.gl,o=n.posMatrix,s=t.useProgram(\"debug\"),l=qr.disabled,c=Gr.disabled,u=t.colorModeForRenderPass(),h=\"$debug\",f=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n);i.activeTexture.set(a.TEXTURE0);const p=r.getTileByID(n.key).latestRawTileData,d=p&&p.byteLength||0,m=Math.floor(d/1024),g=r.getTile(n).tileSize,y=512/Math.min(g,512)*(n.overscaledZ/t.transform.zoom)*.5;let v=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(v+=` => ${n.overscaledZ}`),function(t,e){t.initDebugOverlayCanvas();const r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(t,`${v} ${m}kB`),s.draw(i,a.TRIANGLES,l,c,Ur.alphaBlended,Zr.disabled,Pe(o,e.aN.transparent,y),null,h,t.debugBuffer,t.quadTriangleIndexBuffer,t.debugSegments),s.draw(i,a.LINE_STRIP,l,c,u,Zr.disabled,Pe(o,e.aN.red),f,h,t.debugBuffer,t.tileBorderIndexBuffer,t.debugSegments)}function bn(t,e,r){const n=t.context,i=n.gl,a=t.colorModeForRenderPass(),o=new qr(i.LEQUAL,qr.ReadWrite,t.depthRangeFor3D),s=t.useProgram(\"terrain\"),l=e.getTerrainMesh();n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);for(const c of r){const r=t.renderToTexture.getTexture(c),u=e.getTerrainData(c.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.texture);const h=t.transform.calculatePosMatrix(c.tileID.toUnwrapped()),f=e.getMeshFrameDelta(t.transform.zoom),p=t.transform.calculateFogMatrix(c.tileID.toUnwrapped()),d=xe(h,f,p,t.style.sky,t.transform.pitch);s.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,d,u,\"terrain\",l.vertexBuffer,l.indexBuffer,l.segments)}}class wn{constructor(t,e,r){this.vertexBuffer=t,this.indexBuffer=e,this.segments=r}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Tn{constructor(t,r){this.context=new Vr(t),this.transform=r,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:e.ao(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new he}resize(t,e,r){if(this.width=Math.floor(t*r),this.height=Math.floor(e*r),this.pixelRatio=r,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(const t of this.style._order)this.style._layers[t].resize()}setup(){const t=this.context,r=new e.aX;r.emplaceBack(0,0),r.emplaceBack(e.X,0),r.emplaceBack(0,e.X),r.emplaceBack(e.X,e.X),this.tileExtentBuffer=t.createVertexBuffer(r,me.members),this.tileExtentSegments=e.a0.simpleSegment(0,0,4,2);const n=new e.aX;n.emplaceBack(0,0),n.emplaceBack(e.X,0),n.emplaceBack(0,e.X),n.emplaceBack(e.X,e.X),this.debugBuffer=t.createVertexBuffer(n,me.members),this.debugSegments=e.a0.simpleSegment(0,0,4,5);const i=new e.$;i.emplaceBack(0,0,0,0),i.emplaceBack(e.X,0,e.X,0),i.emplaceBack(0,e.X,0,e.X),i.emplaceBack(e.X,e.X,e.X,e.X),this.rasterBoundsBuffer=t.createVertexBuffer(i,et.members),this.rasterBoundsSegments=e.a0.simpleSegment(0,0,4,2);const a=new e.aX;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=t.createVertexBuffer(a,me.members),this.viewportSegments=e.a0.simpleSegment(0,0,4,2);const o=new e.aZ;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=t.createIndexBuffer(o);const s=new e.aY;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=t.createIndexBuffer(s);const l=this.context.gl;this.stencilClearMode=new Gr({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)}clearStencil(){const t=this.context,r=t.gl;this.nextStencilID=1,this.currentStencilSource=void 0;const n=e.H();e.aQ(n,0,this.width,this.height,0,0,1),e.K(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(t,r.TRIANGLES,qr.disabled,this.stencilClearMode,Ur.disabled,Zr.disabled,ze(n),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(t,e){if(this.currentStencilSource===t.source||!t.isTileClipped()||!e||!e.length)return;this.currentStencilSource=t.source;const r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ur.disabled),r.setDepthMode(qr.disabled);const i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(const t of e){const e=this._tileClippingMaskIDs[t.key]=this.nextStencilID++,a=this.style.map.terrain&&this.style.map.terrain.getTerrainData(t);i.draw(r,n.TRIANGLES,qr.disabled,new Gr({func:n.ALWAYS,mask:0},e,255,n.KEEP,n.KEEP,n.REPLACE),Ur.disabled,Zr.disabled,ze(t.posMatrix),a,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();const t=this.nextStencilID++,e=this.context.gl;return new Gr({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)}stencilModeForClipping(t){const e=this.context.gl;return new Gr({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)}stencilConfigForOverlap(t){const e=this.context.gl,r=t.sort(((t,e)=>e.overscaledZ-t.overscaledZ)),n=r[r.length-1].overscaledZ,i=r[0].overscaledZ-n+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();const t={};for(let r=0;r<i;r++)t[r+n]=new Gr({func:e.GEQUAL,mask:255},r+this.nextStencilID,255,e.KEEP,e.KEEP,e.REPLACE);return this.nextStencilID+=i,[t,r]}return[{[n]:Gr.disabled},r]}colorModeForRenderPass(){const t=this.context.gl;if(this._showOverdrawInspector){const r=1/8;return new Ur([t.CONSTANT_COLOR,t.ONE],new e.aN(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ur.unblended:Ur.alphaBlended}depthModeForSublayer(t,e,r){if(!this.opaquePassEnabledForLayer())return qr.disabled;const n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new qr(r||this.context.gl.LEQUAL,e,[n,n])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(t,r){var n;this.style=t,this.options=r,this.lineAtlas=t.lineAtlas,this.imageManager=t.imageManager,this.glyphManager=t.glyphManager,this.symbolFadeChange=t.placement.symbolFadeChange(a.now()),this.imageManager.beginFrame();const i=this.style._order,o=this.style.sourceCaches,s={},l={},c={};for(const t in o){const e=o[t];e.used&&e.prepare(this.context),s[t]=e.getVisibleCoordinates(),l[t]=s[t].slice().reverse(),c[t]=e.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let t=0;t<i.length;t++){const e=i[t];if(this.style._layers[e].is3D()){this.opaquePassCutoff=t;break}}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(const t of i){const e=this.style._layers[t];if(!e.hasOffscreenPass()||e.isHidden(this.transform.zoom))continue;const r=l[e.source];(\"custom\"===e.type||r.length)&&this.renderLayer(this,o[e.source],e,r)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?e.aN.black:e.aN.transparent,depth:1}),this.clearStencil(),(null===(n=this.style.stylesheet)||void 0===n?void 0:n.sky)&&function(t,r){const n=t.context,i=n.gl,a=((t,e,r)=>({u_sky_color:t.properties.get(\"sky-color\"),u_horizon_color:t.properties.get(\"horizon-color\"),u_horizon:(e.height/2+e.getHorizon())*r,u_sky_horizon_blend:t.properties.get(\"sky-horizon-blend\")*e.height/2*r}))(r,t.style.map.transform,t.pixelRatio),o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=Gr.disabled,l=t.colorModeForRenderPass(),c=t.useProgram(\"sky\");if(!r.mesh){const t=new e.aX;t.emplaceBack(-1,-1),t.emplaceBack(1,-1),t.emplaceBack(1,1),t.emplaceBack(-1,1);const i=new e.aY;i.emplaceBack(0,1,2),i.emplaceBack(0,2,3),r.mesh=new wn(n.createVertexBuffer(t,me.members),n.createIndexBuffer(i),e.a0.simpleSegment(0,0,t.length,i.length))}c.draw(n,i.TRIANGLES,o,s,l,Zr.disabled,a,void 0,\"sky\",r.mesh.vertexBuffer,r.mesh.indexBuffer,r.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(t._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){const t=this.style._layers[i[this.currentLayer]],e=o[t.source],r=s[t.source];this._renderTileClippingMasks(t,r),this.renderLayer(this,e,t,r)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){const t=this.style._layers[i[this.currentLayer]],e=o[t.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(t))continue;const r=(\"symbol\"===t.type?c:l)[t.source];this._renderTileClippingMasks(t,s[t.source]),this.renderLayer(this,e,t,r)}if(this.options.showTileBoundaries){const t=function(t,e){let r=null;const n=Object.values(t._layers).flatMap((r=>r.source&&!r.isHidden(e)?[t.sourceCaches[r.source]]:[])),i=n.filter((t=>\"vector\"===t.getSource().type)),a=n.filter((t=>\"vector\"!==t.getSource().type)),o=t=>{(!r||r.getSource().maxzoom<t.getSource().maxzoom)&&(r=t)};return i.forEach((t=>o(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n<r.length;n++)_n(t,e,r[n])}(this,t,t.getVisibleCoordinates())}this.options.showPadding&&gn(this),this.context.setDefault()}maybeDrawDepthAndCoords(t){if(!this.style||!this.style.map||!this.style.map.terrain)return;const r=this.terrainFacilitator.matrix,n=this.transform.modelViewProjectionMatrix;let i=this.terrainFacilitator.dirty;i||(i=t?!e.a_(r,n):!e.a$(r,n)),i||(i=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),i&&(e.b0(r,n),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.sourceCache.getRenderableTiles(),c=t.useProgram(\"terrainDepth\");n.bindFramebuffer.set(r.getFramebuffer(\"depth\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1});for(const e of l){const l=r.getTerrainData(e.tileID),u={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};c.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,u,l,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain),function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.getCoordsTexture(),c=r.sourceCache.getRenderableTiles(),u=t.useProgram(\"terrainCoords\");n.bindFramebuffer.set(r.getFramebuffer(\"coords\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1}),r.coordsIndex=[];for(const e of c){const c=r.getTerrainData(e.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,l.texture);const h={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_terrain_coords_id:(255-r.coordsIndex.length)/255,u_texture:0,u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};u.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,h,c,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments),r.coordsIndex.push(e.tileID.key)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain))}renderLayer(t,r,n,i){if(!n.isHidden(this.transform.zoom)&&(\"background\"===n.type||\"custom\"===n.type||(i||[]).length))switch(this.id=n.id,n.type){case\"symbol\":$r(t,r,n,i,this.style.placement.variableOffsets);break;case\"circle\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=!n.layout.get(\"circle-sort-key\").isConstant();if(0===a.constantOr(1)&&(0===o.constantOr(1)||0===s.constantOr(1)))return;const c=t.context,u=c.gl,h=t.depthModeForSublayer(0,qr.ReadOnly),f=Gr.disabled,p=t.colorModeForRenderPass(),d=[];for(let a=0;a<i.length;a++){const o=i[a],s=r.getTile(o),c=s.getBucket(n);if(!c)continue;const u=c.programConfigurations.get(n.id),h=t.useProgram(\"circle\",u),f=c.layoutVertexBuffer,p=c.indexBuffer,m=t.style.map.terrain&&t.style.map.terrain.getTerrainData(o),g={programConfiguration:u,program:h,layoutVertexBuffer:f,indexBuffer:p,uniformValues:Ce(t,o,s,n),terrainData:m};if(l){const t=c.segments.get();for(const r of t)d.push({segments:new e.a0([r]),sortKey:r.sortKey,state:g})}else d.push({segments:c.segments,sortKey:0,state:g})}l&&d.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of d){const{programConfiguration:r,program:i,layoutVertexBuffer:a,indexBuffer:o,uniformValues:s,terrainData:l}=e.state,d=e.segments;i.draw(c,u.TRIANGLES,h,f,p,Zr.disabled,s,l,n.id,a,o,d,n.paint,t.transform.zoom,r)}}(t,r,n,i);break;case\"heatmap\":nn(t,r,n,i);break;case\"line\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0===a.constantOr(1)||0===o.constantOr(1))return;const s=t.depthModeForSublayer(0,qr.ReadOnly),l=t.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=t.context,g=m.gl;let y=!0;for(const a of i){const i=r.getTile(a);if(h&&!i.patternsLoaded())continue;const o=i.getBucket(n);if(!o)continue;const v=o.programConfigurations.get(n.id),x=t.context.program.get(),_=t.useProgram(d,v),b=y||_.program!==x,T=t.style.map.terrain&&t.style.map.terrain.getTerrainData(a),k=u.constantOr(null);if(k&&i.imageAtlas){const t=i.imageAtlas,e=t.patternPositions[k.to.toString()],r=t.patternPositions[k.from.toString()];e&&r&&v.setConstantPatternPositions(e,r)}const A=T?a:null,M=h?Ue(t,i,n,p,A):c?Ve(t,i,n,c,p,A):f?je(t,i,n,o.lineClipsArray.length,A):Ne(t,i,n,A);if(h)m.activeTexture.set(g.TEXTURE0),i.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),v.updatePaintBuffers(p);else if(c&&(b||t.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),t.lineAtlas.bind(m);else if(f){const i=o.gradients[n.id];let s=i.texture;if(n.gradientVersion!==i.version){let l=256;if(n.stepInterpolant){const n=r.getSource().maxzoom,i=a.canonical.z===n?Math.ceil(1<<t.transform.maxZoom-a.canonical.z):1,s=o.maxLineLength/e.X*1024*i;l=e.ad(e.aV(s),256,m.maxTextureSize)}i.gradient=e.aW({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:l,image:i.gradient||void 0,clips:o.lineClipsArray}),i.texture?i.texture.update(i.gradient):i.texture=new w(m,i.gradient,g.RGBA),i.version=n.gradientVersion,s=i.texture}m.activeTexture.set(g.TEXTURE0),s.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}_.draw(m,g.TRIANGLES,s,t.stencilModeForClipping(a),l,Zr.disabled,M,T,n.id,o.layoutVertexBuffer,o.indexBuffer,o.segments,n.paint,t.transform.zoom,v,o.layoutVertexBuffer2),y=!1}}(t,r,n,i);break;case\"fill\":!function(t,r,n,i){const a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0===o.constantOr(1))return;const s=t.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=t.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(e.aN.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(t.renderPass===c){const e=t.depthModeForSublayer(1,\"opaque\"===t.renderPass?qr.ReadWrite:qr.ReadOnly);on(t,r,n,i,e,s,!1)}if(\"translucent\"===t.renderPass&&n.paint.get(\"fill-antialias\")){const e=t.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,qr.ReadOnly);on(t,r,n,i,e,s,!0)}}(t,r,n,i);break;case\"fill-extrusion\":!function(t,e,r,n){const i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){const a=new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))sn(t,e,r,n,a,Gr.disabled,Ur.disabled),sn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{const i=t.colorModeForRenderPass();sn(t,e,r,n,a,Gr.disabled,i)}}}(t,r,n,i);break;case\"hillshade\":!function(t,e,r,n){if(\"offscreen\"!==t.renderPass&&\"translucent\"!==t.renderPass)return;const i=t.context,a=t.depthModeForSublayer(0,qr.ReadOnly),o=t.colorModeForRenderPass(),[s,l]=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n];for(const n of l){const i=e.getTile(n);void 0!==i.needsHillshadePrepare&&i.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,i,r,a,Gr.disabled,o):\"translucent\"===t.renderPass&&ln(t,n,i,r,a,s[n.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}(t,r,n,i);break;case\"raster\":!function(t,e,r,n){if(\"translucent\"!==t.renderPass)return;if(0===r.paint.get(\"raster-opacity\"))return;if(!n.length)return;const i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),[c,u]=o instanceof rt?[{},n]:t.stencilConfigForOverlap(n),h=u[u.length-1].overscaledZ,f=!t.options.moving;for(const n of u){const u=t.depthModeForSublayer(n.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?qr.ReadWrite:qr.ReadOnly,a.LESS),p=e.getTile(n);p.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));const d=e.findLoadedParent(n,0),m=e.findLoadedSibling(n),g=un(p,d||m||null,e,r,t.transform,t.style.map.terrain);let y,v;const x=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),d?(d.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),y=Math.pow(2,d.tileID.overscaledZ-p.tileID.overscaledZ),v=[p.tileID.canonical.x*y%1,p.tileID.canonical.y*y%1]):p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),p.texture.useMipmap&&i.extTextureFilterAnisotropic&&t.transform.pitch>20&&a.texParameterf(a.TEXTURE_2D,i.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,i.extTextureFilterAnisotropicMax);const _=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n),b=_?n:null,w=b?b.posMatrix:t.transform.calculatePosMatrix(n.toUnwrapped(),f),T=Ge(w,v||[0,0],y||1,g,r);o instanceof rt?s.draw(i,a.TRIANGLES,u,Gr.disabled,l,Zr.disabled,T,_,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,u,c[n.overscaledZ],l,Zr.disabled,T,_,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}(t,r,n,i);break;case\"background\":!function(t,e,r,n){const i=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0===a)return;const o=t.context,s=o.gl,l=t.transform,c=l.tileSize,u=r.paint.get(\"background-pattern\");if(t.isPatternMissing(u))return;const h=!u&&1===i.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass!==h)return;const f=Gr.disabled,p=t.depthModeForSublayer(0,\"opaque\"===h?qr.ReadWrite:qr.ReadOnly),d=t.colorModeForRenderPass(),m=t.useProgram(u?\"backgroundPattern\":\"background\"),g=n||l.coveringTiles({tileSize:c,terrain:t.style.map.terrain});u&&(o.activeTexture.set(s.TEXTURE0),t.imageManager.bind(t.context));const y=r.getCrossfadeParameters();for(const e of g){const l=n?e.posMatrix:t.transform.calculatePosMatrix(e.toUnwrapped()),h=u?Je(l,a,t,u,{tileID:e,tileSize:c},y):$e(l,a,i),g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);m.draw(o,s.TRIANGLES,p,f,d,Zr.disabled,h,g,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}(t,0,n,i);break;case\"custom\":!function(t,e,r){const n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){const e=i.prerender;e&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),e.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Gr.disabled);const e=\"3d\"===i.renderingMode?new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,qr.ReadOnly);n.setDepthMode(e),i.render(n.gl,t.transform.customLayerMatrix(),{farZ:t.transform.farZ,nearZ:t.transform.nearZ,fov:t.transform._fov,modelViewProjectionMatrix:t.transform.modelViewProjectionMatrix,projectionMatrix:t.transform.projectionMatrix}),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}(t,0,n)}}translatePosMatrix(t,r,n,i,a){if(!n[0]&&!n[1])return t;const o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){const t=Math.sin(o),e=Math.cos(o);n=[n[0]*e-n[1]*t,n[0]*t+n[1]*e]}const s=[a?n[0]:Nt(r,n[0],this.transform.zoom),a?n[1]:Nt(r,n[1],this.transform.zoom),0],l=new Float32Array(16);return e.J(l,t,s),l}saveTileTexture(t){const e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]}getTileTexture(t){const e=this._tileTextures[t];return e&&e.length>0?e.pop():null}isPatternMissing(t){if(!t)return!1;if(!t.from||!t.to)return!0;const e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r}useProgram(t,e){this.cache=this.cache||{};const r=t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[r]||(this.cache[r]=new be(this.context,ge[t],e,Ke[t],this._showOverdrawInspector,this.style.map.terrain)),this.cache[r]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){const t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)}initDebugOverlayCanvas(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;const t=this.context.gl;this.debugOverlayTexture=new w(this.context,this.debugOverlayCanvas,t.RGBA)}}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){const{drawingBufferWidth:t,drawingBufferHeight:e}=this.context.gl;return this.width!==t||this.height!==e}}class kn{constructor(t,e){this.points=t,this.planes=e}static fromInvProjectionMatrix(t,r,n){const i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((n=>{const a=1/(n=e.ag([],n,t))[3]/r*i;return e.b1(n,n,[a,a,1/n[3],a])})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((t=>{const e=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t}([],function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}([],y([],a[t[0]],a[t[1]]),y([],a[t[2]],a[t[1]]))),r=(n=e,i=a[t[1]],-(n[0]*i[0]+n[1]*i[1]+n[2]*i[2]));var n,i;return e.concat(r)}));return new kn(a,o)}}class An{constructor(t,e){this.min=t,this.max=e,this.center=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}([],function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}([],this.min,this.max),.5)}quadrant(t){const e=[t%2==0,t<2],r=m(this.min),n=m(this.max);for(let t=0;t<e.length;t++)r[t]=e[t]?this.min[t]:this.center[t],n[t]=e[t]?this.center[t]:this.max[t];return n[2]=this.max[2],new An(r,n)}distanceX(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]}distanceY(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]}intersects(t){const r=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]];let n=!0;for(let i=0;i<t.planes.length;i++){const a=t.planes[i];let o=0;for(let t=0;t<r.length;t++)e.b2(a,r[t])>=0&&o++;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(let e=0;e<3;e++){let r=Number.MAX_VALUE,n=-Number.MAX_VALUE;for(let i=0;i<t.points.length;i++){const a=t.points[i][e]-this.min[e];r=Math.min(r,a),n=Math.max(n,a)}if(n<0||r>this.max[e]-this.min[e])return 0}return 1}}class Mn{constructor(t=0,e=0,r=0,n=0){if(isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n}interpolate(t,r,n){return null!=r.top&&null!=t.top&&(this.top=e.z.number(t.top,r.top,n)),null!=r.bottom&&null!=t.bottom&&(this.bottom=e.z.number(t.bottom,r.bottom,n)),null!=r.left&&null!=t.left&&(this.left=e.z.number(t.left,r.left,n)),null!=r.right&&null!=t.right&&(this.right=e.z.number(t.right,r.right,n)),this}getCenter(t,r){const n=e.ad((this.left+t-this.right)/2,0,t),i=e.ad((this.top+r-this.bottom)/2,0,r);return new e.P(n,i)}equals(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right}clone(){return new Mn(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}const Sn=85.051129;class En{constructor(t,r,n,i,a){this.tileSize=512,this._renderWorldCopies=void 0===a||!!a,this._minZoom=t||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new e.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){const t=new En(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.apply(this),t}apply(t){this.tileSize=t.tileSize,this.latRange=t.latRange,this.width=t.width,this.height=t.height,this._center=t._center,this._elevation=t._elevation,this.minElevationForCurrentTile=t.minElevationForCurrentTile,this.zoom=t.zoom,this.angle=t.angle,this._fov=t._fov,this._pitch=t._pitch,this._unmodified=t._unmodified,this._edgeInsets=t._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))}get maxZoom(){return this._maxZoom}set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))}get minPitch(){return this._minPitch}set minPitch(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))}get maxPitch(){return this._maxPitch}set maxPitch(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new e.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(t){const r=-e.b3(t,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=function(){var t=new e.A(4);return e.A!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t}(),function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(t){const r=e.ad(t,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(t){const e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.tileZoom=Math.max(0,Math.floor(e)),this.scale=this.zoomScale(e),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(t){t!==this._elevation&&(this._elevation=t,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(t){return this._edgeInsets.equals(t)}interpolatePadding(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()}coveringZoomLevel(t){const e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)}getVisibleUnwrappedCoordinates(t){const r=[new e.b4(0,t)];if(this._renderWorldCopies){const n=this.pointCoordinate(new e.P(0,0)),i=this.pointCoordinate(new e.P(this.width,0)),a=this.pointCoordinate(new e.P(this.width,this.height)),o=this.pointCoordinate(new e.P(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=1;for(let n=s-c;n<=l+c;n++)0!==n&&r.push(new e.b4(n,t))}return r}coveringTiles(t){var r,n;let i=this.coveringZoomLevel(t);const a=i;if(void 0!==t.minzoom&&i<t.minzoom)return[];void 0!==t.maxzoom&&i>t.maxzoom&&(i=t.maxzoom);const o=this.pointCoordinate(this.getCameraPoint()),s=e.Z.fromLngLat(this.center),l=Math.pow(2,i),c=[l*o.x,l*o.y,0],u=[l*s.x,l*s.y,0],h=kn.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,i);let f=t.minzoom||0;!t.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(f=i);const p=t.terrain?2/Math.min(this.tileSize,t.tileSize)*this.tileSize:3,d=t=>({aabb:new An([t*l,0,0],[(t+1)*l,l,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}),m=[],g=[],y=i,x=t.reparseOverscaled?a:i;if(this._renderWorldCopies)for(let t=1;t<=3;t++)m.push(d(-t)),m.push(d(t));for(m.push(d(0));m.length>0;){const i=m.pop(),a=i.x,o=i.y;let s=i.fullyVisible;if(!s){const t=i.aabb.intersects(h);if(0===t)continue;s=2===t}const l=t.terrain?c:u,d=i.aabb.distanceX(l),_=i.aabb.distanceY(l),b=Math.max(Math.abs(d),Math.abs(_)),w=p+(1<<y-i.zoom)-2;if(i.zoom===y||b>w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<<t),n=c[1]-.5-(o<<t);g.push({tileID:new e.S(i.zoom===y?x:i.zoom,i.wrap,i.zoom,a,o),distanceSq:v([u[0]-.5-a,u[1]-.5-o]),tileDistanceToCamera:Math.sqrt(r*r+n*n)})}else for(let l=0;l<4;l++){const c=(a<<1)+l%2,u=(o<<1)+(l>>1),h=i.zoom+1;let f=i.aabb.quadrant(l);if(t.terrain){const a=new e.S(h,i.wrap,h,c,u),o=t.terrain.getMinMaxElevation(a),s=null!==(r=o.minElevation)&&void 0!==r?r:this.elevation,l=null!==(n=o.maxElevation)&&void 0!==n?n:this.elevation;f=new An([f.min[0],f.min[1],s],[f.max[0],f.max[1],l])}m.push({aabb:f,zoom:h,x:c,y:u,wrap:i.wrap,fullyVisible:s})}}return g.sort(((t,e)=>t.distanceSq-e.distanceSq)).map((t=>t.tileID))}resize(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(t){return Math.pow(2,t)}scaleZoom(t){return Math.log(t)/Math.LN2}project(t){const r=e.ad(t.lat,-85.051129,Sn);return new e.P(e.O(t.lng)*this.worldSize,e.Q(r)*this.worldSize)}unproject(t){return new e.Z(t.x/this.worldSize,t.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(t){const r=this.elevation,n=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,i=this.pointLocation(this.centerPoint,t),a=t.getElevationForLngLatZoom(i,this.tileZoom);if(!(this.elevation-a))return;const o=n+r-a,s=Math.cos(this._pitch)*this.cameraToCenterDistance/o/e.b5(1,i.lat)/this.tileSize,l=this.scaleZoom(s);this._elevation=a,this._center=i,this.zoom=l}setLocationAtPoint(t,r){const n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(t),o=new e.Z(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(t,e){return e?this.coordinatePoint(this.locationCoordinate(t),e.getElevationForLngLatZoom(t,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(t))}pointLocation(t,e){return this.coordinateLocation(this.pointCoordinate(t,e))}locationCoordinate(t){return e.Z.fromLngLat(t)}coordinateLocation(t){return t&&t.toLngLat()}pointCoordinate(t,r){if(r){const e=r.pointCoordinate(t);if(null!=e)return e}const n=[t.x,t.y,0,1],i=[t.x,t.y,1,1];e.ag(n,n,this.pixelMatrixInverse),e.ag(i,i,this.pixelMatrixInverse);const a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new e.Z(e.z.number(s,l,p)/this.worldSize,e.z.number(c,u,p)/this.worldSize)}coordinatePoint(t,r=0,n=this.pixelMatrix){const i=[t.x*this.worldSize,t.y*this.worldSize,r,1];return e.ag(i,i,n),new e.P(i[0]/i[3],i[1]/i[3])}getBounds(){const t=Math.max(0,this.height/2-this.getHorizon());return(new X).extend(this.pointLocation(new e.P(0,t))).extend(this.pointLocation(new e.P(this.width,t))).extend(this.pointLocation(new e.P(this.width,this.height))).extend(this.pointLocation(new e.P(0,this.height)))}getMaxBounds(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new X([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,Sn])}calculateTileMatrix(t){const r=t.canonical,n=this.worldSize/this.zoomScale(r.z),i=r.x+Math.pow(2,r.z)*t.wrap,a=e.ao(new Float64Array(16));return e.J(a,a,[i*n,r.y*n,0]),e.K(a,a,[n/e.X,n/e.X,1]),a}calculatePosMatrix(t,r=!1){const n=t.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];const a=this.calculateTileMatrix(t);return e.L(a,r?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,a),i[n]=new Float32Array(a),i[n]}calculateFogMatrix(t){const r=t.key,n=this._fogMatrixCache;if(n[r])return n[r];const i=this.calculateTileMatrix(t);return e.L(i,this.fogMatrix,i),n[r]=new Float32Array(i),n[r]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(t,r){r=e.ad(+r,this.minZoom,this.maxZoom);const n={center:new e.N(t.lng,t.lat),zoom:r};let i=this.lngRange;if(!this._renderWorldCopies&&null===i){const t=180-1e-10;i=[-t,t]}const a=this.tileSize*this.zoomScale(n.zoom);let o=0,s=a,l=0,c=a,u=0,h=0;const{x:f,y:p}=this.size;if(this.latRange){const t=this.latRange;o=e.Q(t[1])*a,s=e.Q(t[0])*a,s-o<p&&(u=p/(s-o))}i&&(l=e.b3(e.O(i[0])*a,0,a),c=e.b3(e.O(i[1])*a,0,a),c<l&&(c+=a),c-l<f&&(h=f/(c-l)));const{x:d,y:m}=this.project.call({worldSize:a},t);let g,y;const v=Math.max(h||0,u||0);if(v){const t=new e.P(h?(c+l)/2:d,u?(s+o)/2:m);return n.center=this.unproject.call({worldSize:a},t).wrap(),n.zoom+=this.scaleZoom(v),n}if(this.latRange){const t=p/2;m-t<o&&(y=o+t),m+t>s&&(y=s-t)}if(i){const t=(l+c)/2;let r=d;this._renderWorldCopies&&(r=e.b3(d,t-a/2,t+a/2));const n=f/2;r-n<l&&(g=l+n),r+n>c&&(g=c-n)}if(void 0!==g||void 0!==y){const t=new e.P(null!=g?g:d,null!=y?y:m);n.center=this.unproject.call({worldSize:a},t).wrap()}return n}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;const t=this._unmodified,{center:e,zoom:r}=this.getConstrained(this.center,this.zoom);this.center=e,this.zoom=r,this._unmodified=t,this._constraining=!1}_calcMatrices(){if(!this.height)return;const t=this._fov/2,r=this.centerOffset,n=this.point.x,i=this.point.y;this.cameraToCenterDistance=.5/Math.tan(t)*this.height,this._pixelPerMeter=e.b5(1,this.center.lat)*this.worldSize;let a=e.ao(new Float64Array(16));e.K(a,a,[this.width/2,-this.height/2,1]),e.J(a,a,[1,-1,0]),this.labelPlaneMatrix=a,a=e.ao(new Float64Array(16)),e.K(a,a,[1,-1,1]),e.J(a,a,[-1,-1,0]),e.K(a,a,[2/this.width,2/this.height,1]),this.glCoordMatrix=a;const o=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),s=Math.min(this.elevation,this.minElevationForCurrentTile),l=o-s*this._pixelPerMeter/Math.cos(this._pitch),c=s<0?l:o,u=Math.PI/2+this._pitch,h=this._fov*(.5+r.y/this.height),f=Math.sin(h)*c/Math.sin(e.ad(Math.PI-u-h,.01,Math.PI-.01)),p=this.getHorizon(),d=2*Math.atan(p/this.cameraToCenterDistance)*(.5+r.y/(2*p)),m=Math.sin(d)*c/Math.sin(e.ad(Math.PI-u-d,.01,Math.PI-.01)),g=Math.min(f,m);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*g+c),this.nearZ=this.height/50,a=new Float64Array(16),e.b6(a,this._fov,this.width/this.height,this.nearZ,this.farZ),a[8]=2*-r.x/this.width,a[9]=2*r.y/this.height,this.projectionMatrix=e.af(a),e.K(a,a,[1,-1,1]),e.J(a,a,[0,0,-this.cameraToCenterDistance]),e.b7(a,a,this._pitch),e.ae(a,a,this.angle),e.J(a,a,[-n,-i,0]),this.mercatorMatrix=e.K([],a,[this.worldSize,this.worldSize,this.worldSize]),e.K(a,a,[1,1,this._pixelPerMeter]),this.pixelMatrix=e.L(new Float64Array(16),this.labelPlaneMatrix,a),e.J(a,a,[0,0,-this.elevation]),this.modelViewProjectionMatrix=a,this.invModelViewProjectionMatrix=e.at([],a),this.fogMatrix=new Float64Array(16),e.b6(this.fogMatrix,this._fov,this.width/this.height,o,this.farZ),this.fogMatrix[8]=2*-r.x/this.width,this.fogMatrix[9]=2*r.y/this.height,e.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),e.b7(this.fogMatrix,this.fogMatrix,this._pitch),e.ae(this.fogMatrix,this.fogMatrix,this.angle),e.J(this.fogMatrix,this.fogMatrix,[-n,-i,0]),e.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=e.L(new Float64Array(16),this.labelPlaneMatrix,a);const y=this.width%2/2,v=this.height%2/2,x=Math.cos(this.angle),_=Math.sin(this.angle),b=n-Math.round(n)+x*y+_*v,w=i-Math.round(i)+x*v+_*y,T=new Float64Array(a);if(e.J(T,T,[b>.5?b-1:b,w>.5?w-1:w,0]),this.alignedModelViewProjectionMatrix=T,a=e.at(new Float64Array(16),this.pixelMatrix),!a)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;const t=this.pointCoordinate(new e.P(0,0)),r=[t.x*this.worldSize,t.y*this.worldSize,0,1];return e.ag(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){const t=this._pitch,r=Math.tan(t)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.P(0,r))}getCameraQueryGeometry(t){const r=this.getCameraPoint();if(1===t.length)return[t[0],r];{let n=r.x,i=r.y,a=r.x,o=r.y;for(const e of t)n=Math.min(n,e.x),i=Math.min(i,e.y),a=Math.max(a,e.x),o=Math.max(o,e.y);return[new e.P(n,i),new e.P(a,i),new e.P(a,o),new e.P(n,o),new e.P(n,i)]}}lngLatToCameraDepth(t,r){const n=this.locationCoordinate(t),i=[n.x*this.worldSize,n.y*this.worldSize,r,1];return e.ag(i,i,this.modelViewProjectionMatrix),i[2]/i[3]}}function Cn(t,e){let r,n=!1,i=null,a=null;const o=()=>{i=null,n&&(t.apply(a,r),i=setTimeout(o,e),n=!1)};return(...t)=>(n=!0,a=this,r=t,i||o(),i)}class Ln{constructor(t){this._getCurrentHash=()=>{const t=window.location.hash.replace(\"#\",\"\");if(this._hashName){let e;return t.split(\"&\").map((t=>t.split(\"=\"))).forEach((t=>{t[0]===this._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")}return t.split(\"/\")},this._onHashChange=()=>{const t=this._getCurrentHash();if(t.length>=3&&!t.some((t=>isNaN(t)))){const e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{const t=window.location.href.replace(/(#.+)?$/,this.getHashString());window.history.replaceState(window.history.state,null,t)},this._removeHash=()=>{const t=this._getCurrentHash();if(0===t.length)return;const e=t.join(\"/\");let r=e;r.split(\"&\").length>0&&(r=r.split(\"&\")[0]),this._hashName&&(r=`${this._hashName}=${e}`);let n=window.location.hash.replace(r,\"\");n.startsWith(\"#&\")?n=n.slice(0,1)+n.slice(2):\"#\"===n&&(n=\"\");let i=window.location.href.replace(/(#.+)?$/,n);i=i.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,i)},this._updateHash=Cn(this._updateHashUnthrottled,300),this._hashName=t&&encodeURIComponent(t)}addTo(t){return this._map=t,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(t){const e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch();let c=\"\";if(c+=t?`/${a}/${o}/${r}`:`${r}/${o}/${a}`,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=`/${Math.round(l)}`),this._hashName){const t=this._hashName;let e=!1;const r=window.location.hash.slice(1).split(\"&\").map((r=>{const n=r.split(\"=\")[0];return n===t?(e=!0,`${n}=${c}`):r})).filter((t=>t));return e||r.push(`${t}=${c}`),`#${r.join(\"&\")}`}return`#${c}`}}const In={linearity:.3,easing:e.b8(0,0,.3,1)},Pn=e.e({deceleration:2500,maxSpeed:1400},In),zn=e.e({deceleration:20,maxSpeed:1400},In),On=e.e({deceleration:1e3,maxSpeed:360},In),Dn=e.e({deceleration:1e3,maxSpeed:90},In);class Rn{constructor(t){this._map=t,this.clear()}clear(){this._inertiaBuffer=[]}record(t){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:a.now(),settings:t})}_drainInertiaBuffer(){const t=this._inertiaBuffer,e=a.now();for(;t.length>0&&e-t[0].time>160;)t.shift()}_onMoveEnd(t){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;const r={zoom:0,bearing:0,pitch:0,pan:new e.P(0,0),pinchAround:void 0,around:void 0};for(const{settings:t}of this._inertiaBuffer)r.zoom+=t.zoomDelta||0,r.bearing+=t.bearingDelta||0,r.pitch+=t.pitchDelta||0,t.panDelta&&r.pan._add(t.panDelta),t.around&&(r.around=t.around),t.pinchAround&&(r.pinchAround=t.pinchAround);const n=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,i={};if(r.pan.mag()){const a=Bn(r.pan.mag(),n,e.e({},Pn,t||{}));i.offset=r.pan.mult(a.amount/r.pan.mag()),i.center=this._map.transform.center,Fn(i,a)}if(r.zoom){const t=Bn(r.zoom,n,zn);i.zoom=this._map.transform.zoom+t.amount,Fn(i,t)}if(r.bearing){const t=Bn(r.bearing,n,On);i.bearing=this._map.transform.bearing+e.ad(t.amount,-179,179),Fn(i,t)}if(r.pitch){const t=Bn(r.pitch,n,Dn);i.pitch=this._map.transform.pitch+t.amount,Fn(i,t)}if(i.zoom||i.bearing){const t=void 0===r.pinchAround?r.around:r.pinchAround;i.around=t?this._map.unproject(t):this._map.getCenter()}return this.clear(),e.e(i,{noMoveStart:!0})}}function Fn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Bn(t,r,n){const{maxSpeed:i,linearity:a,deceleration:o}=n,s=e.ad(t*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}class Nn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n,i={}){const a=o.mousePos(r.getCanvas(),n),s=r.unproject(a);super(t,e.e({point:a,lngLat:s,originalEvent:n},i)),this._defaultPrevented=!1,this.target=r}}class jn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n){const i=\"touchend\"===t?n.changedTouches:n.touches,a=o.touchPos(r.getCanvasContainer(),i),s=a.map((t=>r.unproject(t))),l=a.reduce(((t,e,r,n)=>t.add(e.div(n.length))),new e.P(0,0));super(t,{points:a,point:l,lngLats:s,lngLat:r.unproject(l),originalEvent:n}),this._defaultPrevented=!1}}class Un extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,e,r){super(t,{originalEvent:r}),this._defaultPrevented=!1}}class Vn{constructor(t,e){this._map=t,this._clickTolerance=e.clickTolerance}reset(){delete this._mousedownPos}wheel(t){return this._firePreventable(new Un(t.type,this._map,t))}mousedown(t,e){return this._mousedownPos=e,this._firePreventable(new Nn(t.type,this._map,t))}mouseup(t){this._map.fire(new Nn(t.type,this._map,t))}click(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Nn(t.type,this._map,t))}dblclick(t){return this._firePreventable(new Nn(t.type,this._map,t))}mouseover(t){this._map.fire(new Nn(t.type,this._map,t))}mouseout(t){this._map.fire(new Nn(t.type,this._map,t))}touchstart(t){return this._firePreventable(new jn(t.type,this._map,t))}touchmove(t){this._map.fire(new jn(t.type,this._map,t))}touchend(t){this._map.fire(new jn(t.type,this._map,t))}touchcancel(t){this._map.fire(new jn(t.type,this._map,t))}_firePreventable(t){if(this._map.fire(t),t.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class qn{constructor(t){this._map=t}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(t){this._map.fire(new Nn(t.type,this._map,t))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Nn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(t){this._delayContextMenu?this._contextMenuEvent=t:this._ignoreContextMenu||this._map.fire(new Nn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Hn{constructor(t){this._map=t}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(t){return this.transform.pointLocation(e.P.convert(t),this._map.terrain)}}class Gn{constructor(t,e){this._map=t,this._tr=new Hn(t),this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(o.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)}mousemoveWindow(t,e){if(!this._active)return;const r=e;if(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)<this._clickTolerance)return;const n=this._startPos;this._lastPos=r,this._box||(this._box=o.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));const i=Math.min(n.x,r.x),a=Math.max(n.x,r.x),s=Math.min(n.y,r.y),l=Math.max(n.y,r.y);o.setTransform(this._box,`translate(${i}px,${s}px)`),this._box.style.width=a-i+\"px\",this._box.style.height=l-s+\"px\"}mouseupWindow(t,r){if(!this._active)return;if(0!==t.button)return;const n=this._startPos,i=r;if(this.reset(),o.suppressClick(),n.x!==i.x||n.y!==i.y)return this._map.fire(new e.k(\"boxzoomend\",{originalEvent:t})),{cameraAnimation:t=>t.fitScreenCoordinates(n,i,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",t)}keydown(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(t,r){return this._map.fire(new e.k(t,{originalEvent:r}))}}function Zn(t,e){if(t.length!==e.length)throw new Error(`The number of touches and points are not equal - touches ${t.length}, points ${e.length}`);const r={};for(let n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}class Wn{constructor(t){this.reset(),this.numTouches=t.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(t,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=t.timeStamp),n.length===this.numTouches&&(this.centroid=function(t){const r=new e.P(0,0);for(const e of t)r._add(e);return r.div(t.length)}(r),this.touches=Zn(n,r)))}touchmove(t,e,r){if(this.aborted||!this.centroid)return;const n=Zn(r,e);for(const t in this.touches){const e=this.touches[t],r=n[t];(!r||r.dist(e)>30)&&(this.aborted=!0)}}touchend(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){const t=!this.aborted&&this.centroid;if(this.reset(),t)return t}}}class Yn{constructor(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(t,e,r){this.singleTap.touchstart(t,e,r)}touchmove(t,e,r){this.singleTap.touchmove(t,e,r)}touchend(t,e,r){const n=this.singleTap.touchend(t,e,r);if(n){const e=t.timeStamp-this.lastTime<500,r=!this.lastTap||this.lastTap.dist(n)<30;if(e&&r||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}}}class Xn{constructor(t){this._tr=new Hn(t),this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)}touchmove(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)}touchend(t,e,r){const n=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r),a=this._tr;return n?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom+1,around:a.unproject(n)},{originalEvent:t})}):i?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom-1,around:a.unproject(i)},{originalEvent:t})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class $n{constructor(t){this._enabled=!!t.enable,this._moveStateManager=t.moveStateManager,this._clickTolerance=t.clickTolerance||1,this._moveFunction=t.move,this._activateOnStart=!!t.activateOnStart,t.assignEvents(this),this.reset()}reset(t){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(t)}_move(...t){const e=this._moveFunction(...t);if(e.bearingDelta||e.pitchDelta||e.around||e.panDelta)return this._active=!0,e}dragStart(t,e){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(t)&&(this._moveStateManager.startMove(t),this._lastPoint=e.length?e[0]:e,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(t,e){if(!this.isEnabled())return;const r=this._lastPoint;if(!r)return;if(t.preventDefault(),!this._moveStateManager.isValidMoveEvent(t))return void this.reset(t);const n=e.length?e[0]:e;return!this._moved&&n.dist(r)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=n,this._move(r,n))}dragEnd(t){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(t)&&(this._moved&&o.suppressClick(),this.reset(t))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}const Jn={0:1,2:2};class Kn{constructor(t){this._correctEvent=t.checkCorrectEvent}startMove(t){const e=o.mouseButton(t);this._eventButton=e}endMove(t){delete this._eventButton}isValidStartEvent(t){return this._correctEvent(t)}isValidMoveEvent(t){return!function(t,e){const r=Jn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton)}isValidEndEvent(t){return o.mouseButton(t)===this._eventButton}}class Qn{constructor(){this._firstTouch=void 0}_isOneFingerTouch(t){return 1===t.targetTouches.length}_isSameTouchEvent(t){return t.targetTouches[0].identifier===this._firstTouch}startMove(t){const e=t.targetTouches[0].identifier;this._firstTouch=e}endMove(t){delete this._firstTouch}isValidStartEvent(t){return this._isOneFingerTouch(t)}isValidMoveEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}isValidEndEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}}const ti=t=>{t.mousedown=t.dragStart,t.mousemoveWindow=t.dragMove,t.mouseup=t.dragEnd,t.contextmenu=t=>{t.preventDefault()}},ei=({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:ti})},ri=({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:ti})};class ni{constructor(t,e){this._clickTolerance=t.clickTolerance||1,this._map=e,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new e.P(0,0)}_shouldBePrevented(t){return t<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(t,e,r){return this._calculateTransform(t,e,r)}touchmove(t,e,r){if(this._active){if(!this._shouldBePrevented(r.length))return t.preventDefault(),this._calculateTransform(t,e,r);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",t)}}touchend(t,e,r){this._calculateTransform(t,e,r),this._active&&this._shouldBePrevented(r.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(t,r,n){n.length>0&&(this._active=!0);const i=Zn(n,r),a=new e.P(0,0),o=new e.P(0,0);let s=0;for(const t in i){const e=i[t],r=this._touches[t];r&&(a._add(e),o._add(e.sub(r)),s++,i[t]=e)}if(this._touches=i,this._shouldBePrevented(s)||!o.mag())return;const l=o.div(s);return this._sum._add(l),this._sum.mag()<this._clickTolerance?void 0:{around:a.div(s),panDelta:l}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ii{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))}touchmove(t,e,r){if(!this._firstTwoTouches)return;t.preventDefault();const[n,i]=this._firstTwoTouches,a=ai(r,e,n),o=ai(r,e,i);if(!a||!o)return;const s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}touchend(t,e,r){if(!this._firstTwoTouches)return;const[n,i]=this._firstTwoTouches,a=ai(r,e,n),s=ai(r,e,i);a&&s||(this._active&&o.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function ai(t,e,r){for(let n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function oi(t,e){return Math.log(t/e)/Math.LN2}class si extends ii{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(t){this._startDistance=this._distance=t[0].dist(t[1])}_move(t,e){const r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}}}function li(t,e){return 180*t.angleWith(e)/Math.PI}class ci extends ii{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])}_move(t,e,r){const n=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,n),pinchAround:e}}_isBelowThreshold(t){this._minDiameter=Math.min(this._minDiameter,t.mag());const e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e}}function ui(t){return Math.abs(t.y)>Math.abs(t.x)}class hi extends ii{constructor(t){super(),this._currentTouchCount=0,this._map=t}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(t,e,r){super.touchstart(t,e,r),this._currentTouchCount=r.length}_start(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)}_move(t,e,r){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;const n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid?(this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}):void 0}gestureBeginsVertically(t,e,r){if(void 0!==this._valid)return this._valid;const n=t.mag()>=2,i=e.mag()>=2;if(!n&&!i)return;if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;const a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}}const fi={panStep:100,bearingStep:15,pitchStep:10};class pi{constructor(t){this._tr=new Hn(t);const e=fi;this._panStep=e.panStep,this._bearingStep=e.bearingStep,this._pitchStep=e.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(t){if(t.altKey||t.ctrlKey||t.metaKey)return;let e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(t.preventDefault(),a=1);break;default:return}return this._rotationDisabled&&(r=0,n=0),{cameraAnimation:o=>{const s=this._tr;o.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:e?Math.round(s.zoom)+e*(t.shiftKey?2:1):s.zoom,bearing:s.bearing+r*this._bearingStep,pitch:s.pitch+n*this._pitchStep,offset:[-i*this._panStep,-a*this._panStep],center:s.center},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function di(t){return t*(2-t)}const mi=4.000244140625;class gi{constructor(t,e){this._onTimeout=t=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},this._map=t,this._tr=new Hn(t),this._triggerRenderFrame=e,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(t){this._defaultZoomRate=t}setWheelZoomRate(t){this._wheelZoomRate=t}isEnabled(){return!!this._enabled}isActive(){return!!this._active||void 0!==this._finishTimeout}isZooming(){return!!this._zooming}enable(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(t){return!!this._map.cooperativeGestures.isEnabled()&&!(t.ctrlKey||this._map.cooperativeGestures.isBypassed(t))}wheel(t){if(!this.isEnabled())return;if(this._shouldBePrevented(t))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",t);let e=t.deltaMode===WheelEvent.DOM_DELTA_LINE?40*t.deltaY:t.deltaY;const r=a.now(),n=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==e&&e%mi==0?this._type=\"wheel\":0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40,t)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&(this._lastWheelEvent=t,this._delta-=e,this._active||this._start(t)),t.preventDefault()}_start(t){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);const r=o.mousePos(this._map.getCanvas(),t),n=this._tr;r.y>n.transform.height/2-n.transform.getHorizon()?this._around=e.N.convert(this._aroundCenter?n.center:n.unproject(r)):this._around=e.N.convert(n.center),this._aroundPoint=n.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId)return;if(this._frameId=null,!this.isActive())return;const t=this._tr.transform;if(0!==this._delta){const e=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate;let r=2/(1+Math.exp(-Math.abs(this._delta*e)));this._delta<0&&0!==r&&(r=1/r);const n=\"number\"==typeof this._targetZoom?t.zoomScale(this._targetZoom):t.scale;this._targetZoom=Math.min(t.maxZoom,Math.max(t.minZoom,t.scaleZoom(n*r))),\"wheel\"===this._type&&(this._startZoom=t.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}const r=\"number\"==typeof this._targetZoom?this._targetZoom:t.zoom,n=this._startZoom,i=this._easing;let o,s=!1;const l=a.now()-this._lastWheelEventTime;if(\"wheel\"===this._type&&n&&i&&l){const t=Math.min(l/200,1),a=i(t);o=e.z.number(n,r,a),t<1?this._frameId||(this._frameId=!0):s=!0}else o=r,s=!0;return this._active=!0,s&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!s,zoomDelta:o-t.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(t){let r=e.b9;if(this._prevEase){const t=this._prevEase,n=(a.now()-t.start)/t.duration,i=t.easing(n+.01)-t.easing(n),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=e.b8(o,s,.25,1)}return this._prevEase={start:a.now(),duration:t,easing:r},r}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class yi{constructor(t,e){this._clickZoom=t,this._tapZoom=e}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class vi{constructor(t){this._tr=new Hn(t),this.reset()}reset(){this._active=!1}dblclick(t,e){return t.preventDefault(),{cameraAnimation:r=>{r.easeTo({duration:300,zoom:this._tr.zoom+(t.shiftKey?-1:1),around:this._tr.unproject(e)},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class xi{constructor(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(t,e,r){if(!this._swipePoint)if(this._tapTime){const n=e[0],i=t.timeStamp-this._tapTime<500,a=this._tapPoint.dist(n)<30;i&&a?r.length>0&&(this._swipePoint=n,this._swipeTouch=r[0].identifier):this.reset()}else this._tap.touchstart(t,e,r)}touchmove(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;const n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)}touchend(t,e,r){if(this._tapTime)this._swipePoint&&0===r.length&&this.reset();else{const n=this._tap.touchend(t,e,r);n&&(this._tapTime=t.timeStamp,this._tapPoint=n)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class _i{constructor(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r}enable(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class bi{constructor(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class wi{constructor(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0}enable(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Ti{constructor(t,e){this._bypassKey=-1!==navigator.userAgent.indexOf(\"Mac\")?\"metaKey\":\"ctrlKey\",this._map=t,this._options=e,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;const t=this._map.getCanvasContainer();t.classList.add(\"maplibregl-cooperative-gestures\"),this._container=o.create(\"div\",\"maplibregl-cooperative-gesture-screen\",t);let e=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");\"metaKey\"===this._bypassKey&&(e=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));const r=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),n=document.createElement(\"div\");n.className=\"maplibregl-desktop-message\",n.textContent=e,this._container.appendChild(n);const i=document.createElement(\"div\");i.className=\"maplibregl-mobile-message\",i.textContent=r,this._container.appendChild(i),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(o.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(t){return t[this._bypassKey]}notifyGestureBlocked(t,r){this._enabled&&(this._map.fire(new e.k(\"cooperativegestureprevented\",{gestureType:t,originalEvent:r})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}const ki=t=>t.zoom||t.drag||t.pitch||t.rotate;class Ai extends e.k{}function Mi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}class Si{constructor(t,e){this.handleWindowEvent=t=>{this.handleEvent(t,`${t.type}Window`)},this.handleEvent=(t,e)=>{if(\"blur\"===t.type)return void this.stop(!0);this._updatingCamera=!0;const r=\"renderFrame\"===t.type?void 0:t,n={needsRenderFrame:!1},i={},a={},s=t.touches,l=s?this._getMapTouches(s):void 0,c=l?o.touchPos(this._map.getCanvas(),l):o.mousePos(this._map.getCanvas(),t);for(const{handlerName:o,handler:s,allowed:u}of this._handlers){if(!s.isEnabled())continue;let h;this._blockedByActive(a,u,o)?s.reset():s[e||t.type]&&(h=s[e||t.type](t,c,l),this.mergeHandlerResult(n,i,h,o,r),h&&h.needsRenderFrame&&this._triggerRenderFrame()),(h||s.isActive())&&(a[o]=s)}const u={};for(const t in this._previousActiveHandlers)a[t]||(u[t]=r);this._previousActiveHandlers=a,(Object.keys(u).length||Mi(n))&&(this._changes.push([n,i,u]),this._triggerRenderFrame()),(Object.keys(a).length||Mi(n))&&this._map._stop(!0),this._updatingCamera=!1;const{cameraAnimation:h}=n;h&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],h(this._map))},this._map=t,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Rn(t),this._bearingSnap=e.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(e);const r=this._el;this._listeners=[[r,\"touchstart\",{passive:!0}],[r,\"touchmove\",{passive:!1}],[r,\"touchend\",void 0],[r,\"touchcancel\",void 0],[r,\"mousedown\",void 0],[r,\"mousemove\",void 0],[r,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[r,\"mouseover\",void 0],[r,\"mouseout\",void 0],[r,\"dblclick\",void 0],[r,\"click\",void 0],[r,\"keydown\",{capture:!1}],[r,\"keyup\",void 0],[r,\"wheel\",{passive:!1}],[r,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(const[t,e,r]of this._listeners)o.addEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}destroy(){for(const[t,e,r]of this._listeners)o.removeEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}_addDefaultHandlers(t){const e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Vn(e,t));const n=e.boxZoom=new Gn(e,t);this._add(\"boxZoom\",n),t.interactive&&t.boxZoom&&n.enable();const i=e.cooperativeGestures=new Ti(e,t.cooperativeGestures);this._add(\"cooperativeGestures\",i),t.cooperativeGestures&&i.enable();const a=new Xn(e),s=new vi(e);e.doubleClickZoom=new yi(s,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",s),t.interactive&&t.doubleClickZoom&&e.doubleClickZoom.enable();const l=new xi;this._add(\"tapDragZoom\",l);const c=e.touchPitch=new hi(e);this._add(\"touchPitch\",c),t.interactive&&t.touchPitch&&e.touchPitch.enable(t.touchPitch);const u=ei(t),h=ri(t);e.dragRotate=new bi(t,u,h),this._add(\"mouseRotate\",u,[\"mousePitch\"]),this._add(\"mousePitch\",h,[\"mouseRotate\"]),t.interactive&&t.dragRotate&&e.dragRotate.enable();const f=(({enable:t,clickTolerance:e})=>{const r=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&!t.ctrlKey});return new $n({clickTolerance:e,move:(t,e)=>({around:e,panDelta:e.sub(t)}),activateOnStart:!0,moveStateManager:r,enable:t,assignEvents:ti})})(t),p=new ni(t,e);e.dragPan=new _i(r,f,p),this._add(\"mousePan\",f),this._add(\"touchPan\",p,[\"touchZoom\",\"touchRotate\"]),t.interactive&&t.dragPan&&e.dragPan.enable(t.dragPan);const d=new ci,m=new si;e.touchZoomRotate=new wi(r,m,d,l),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",m,[\"touchPan\",\"touchRotate\"]),t.interactive&&t.touchZoomRotate&&e.touchZoomRotate.enable(t.touchZoomRotate);const g=e.scrollZoom=new gi(e,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",g,[\"mousePan\"]),t.interactive&&t.scrollZoom&&e.scrollZoom.enable(t.scrollZoom);const y=e.keyboard=new pi(e);this._add(\"keyboard\",y),t.interactive&&t.keyboard&&e.keyboard.enable(),this._add(\"blockableMapEvent\",new qn(e))}_add(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e}stop(t){if(!this._updatingCamera){for(const{handler:t}of this._handlers)t.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}}isActive(){for(const{handler:t}of this._handlers)if(t.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return Boolean(ki(this._eventsInProgress))||this.isZooming()}_blockedByActive(t,e,r){for(const n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1}_getMapTouches(t){const e=[];for(const r of t){const t=r.target;this._el.contains(t)&&e.push(r)}return e}mergeHandlerResult(t,r,n,i,a){if(!n)return;e.e(t,n);const o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}_applyChanges(){const t={},r={},n={};for(const[i,a,o]of this._changes)i.panDelta&&(t.panDelta=(t.panDelta||new e.P(0,0))._add(i.panDelta)),i.zoomDelta&&(t.zoomDelta=(t.zoomDelta||0)+i.zoomDelta),i.bearingDelta&&(t.bearingDelta=(t.bearingDelta||0)+i.bearingDelta),i.pitchDelta&&(t.pitchDelta=(t.pitchDelta||0)+i.pitchDelta),void 0!==i.around&&(t.around=i.around),void 0!==i.pinchAround&&(t.pinchAround=i.pinchAround),i.noInertia&&(t.noInertia=i.noInertia),e.e(r,a),e.e(n,o);this._updateMapTransform(t,r,n),this._changes=[]}_updateMapTransform(t,e,r){const n=this._map,i=n._getTransformForUpdate(),a=n.terrain;if(!(Mi(t)||a&&this._terrainMovement))return this._fireEvents(e,r,!0);let{panDelta:o,zoomDelta:s,bearingDelta:l,pitchDelta:c,around:u,pinchAround:h}=t;void 0!==h&&(u=h),n._stop(!0),u=u||n.transform.centerPoint;const f=i.pointLocation(o?u.sub(o):u);l&&(i.bearing+=l),c&&(i.pitch+=c),s&&(i.zoom+=s),a?this._terrainMovement||!e.drag&&!e.zoom?e.drag&&this._terrainMovement?i.center=i.pointLocation(i.centerPoint.sub(o)):i.setLocationAtPoint(f,u):(this._terrainMovement=!0,this._map._elevationFreeze=!0,i.setLocationAtPoint(f,u)):i.setLocationAtPoint(f,u),n._applyUpdatedTransform(i),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)}_fireEvents(t,r,n){const i=ki(this._eventsInProgress),o=ki(t),s={};for(const e in t){const{originalEvent:r}=t[e];this._eventsInProgress[e]||(s[`${e}start`]=r),this._eventsInProgress[e]=t[e]}!i&&o&&this._fireEvent(\"movestart\",o.originalEvent);for(const t in s)this._fireEvent(t,s[t]);o&&this._fireEvent(\"move\",o.originalEvent);for(const e in t){const{originalEvent:r}=t[e];this._fireEvent(e,r)}const l={};let c;for(const t in this._eventsInProgress){const{handlerName:e,originalEvent:n}=this._eventsInProgress[t];this._handlersById[e].isActive()||(delete this._eventsInProgress[t],c=r[e]||n,l[`${t}end`]=c)}for(const t in l)this._fireEvent(t,l[t]);const u=ki(this._eventsInProgress),h=(i||o)&&!u;if(h&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;const t=this._map._getTransformForUpdate();t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(t)}if(n&&h){this._updatingCamera=!0;const t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),r=t=>0!==t&&-this._bearingSnap<t&&t<this._bearingSnap;!t||!t.essential&&a.prefersReducedMotion?(this._map.fire(new e.k(\"moveend\",{originalEvent:c})),r(this._map.getBearing())&&this._map.resetNorth()):(r(t.bearing||this._map.getBearing())&&(t.bearing=0),t.freezeElevation=!0,this._map.easeTo(t,{originalEvent:c})),this._updatingCamera=!1}}_fireEvent(t,r){this._map.fire(new e.k(t,r?{originalEvent:r}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((t=>{delete this._frameId,this.handleEvent(new Ai(\"renderFrame\",{timeStamp:t})),this._applyChanges()}))}_triggerRenderFrame(){void 0===this._frameId&&(this._frameId=this._requestFrame())}}class Ei extends e.E{constructor(t,e){super(),this._renderFrameCallback=()=>{const t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=t,this._bearingSnap=e.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new e.N(this.transform.center.lng,this.transform.center.lat)}setCenter(t,e){return this.jumpTo({center:t},e)}panBy(t,r,n){return t=e.P.convert(t).mult(-1),this.panTo(this.transform.center,e.e({offset:t},r),n)}panTo(t,r,n){return this.easeTo(e.e({center:t},r),n)}getZoom(){return this.transform.zoom}setZoom(t,e){return this.jumpTo({zoom:t},e),this}zoomTo(t,r,n){return this.easeTo(e.e({zoom:t},r),n)}zoomIn(t,e){return this.zoomTo(this.getZoom()+1,t,e),this}zoomOut(t,e){return this.zoomTo(this.getZoom()-1,t,e),this}getBearing(){return this.transform.bearing}setBearing(t,e){return this.jumpTo({bearing:t},e),this}getPadding(){return this.transform.padding}setPadding(t,e){return this.jumpTo({padding:t},e),this}rotateTo(t,r,n){return this.easeTo(e.e({bearing:t},r),n)}resetNorth(t,r){return this.rotateTo(0,e.e({duration:1e3},t),r),this}resetNorthPitch(t,r){return this.easeTo(e.e({bearing:0,pitch:0,duration:1e3},t),r),this}snapToNorth(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this}getPitch(){return this.transform.pitch}setPitch(t,e){return this.jumpTo({pitch:t},e),this}cameraForBounds(t,e){t=X.convert(t);const r=e&&e.bearing||0;return this._cameraForBoxAndBearing(t.getNorthWest(),t.getSouthEast(),r,e)}_cameraForBoxAndBearing(t,r,n,i){const a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=e.e({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){const t=i.padding;i.padding={top:t,bottom:t,right:t,left:t}}i.padding=e.e(a,i.padding);const o=this.transform,s=o.padding,l=new X(t,r),c=o.project(l.getNorthWest()),u=o.project(l.getNorthEast()),h=o.project(l.getSouthEast()),f=o.project(l.getSouthWest()),p=e.ba(-n),d=c.rotate(p),m=u.rotate(p),g=h.rotate(p),y=f.rotate(p),v=new e.P(Math.max(d.x,m.x,y.x,g.x),Math.max(d.y,m.y,y.y,g.y)),x=new e.P(Math.min(d.x,m.x,y.x,g.x),Math.min(d.y,m.y,y.y,g.y)),_=v.sub(x),b=(o.width-(s.left+s.right+i.padding.left+i.padding.right))/_.x,w=(o.height-(s.top+s.bottom+i.padding.top+i.padding.bottom))/_.y;if(w<0||b<0)return void e.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");const T=Math.min(o.scaleZoom(o.scale*Math.min(b,w)),i.maxZoom),k=e.P.convert(i.offset),A=(i.padding.left-i.padding.right)/2,M=(i.padding.top-i.padding.bottom)/2,S=new e.P(A,M).rotate(e.ba(n)),E=k.add(S).mult(o.scale/o.zoomScale(T));return{center:o.unproject(c.add(h).div(2).sub(E)),zoom:T,bearing:n}}fitBounds(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)}fitScreenCoordinates(t,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(e.P.convert(t)),this.transform.pointLocation(e.P.convert(r)),n,i),i,a)}_fitInternal(t,r,n){return t?(delete(r=e.e(t,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this}jumpTo(t,r){this.stop();const n=this._getTransformForUpdate();let i=!1,a=!1,o=!1;return\"zoom\"in t&&n.zoom!==+t.zoom&&(i=!0,n.zoom=+t.zoom),void 0!==t.center&&(n.center=e.N.convert(t.center)),\"bearing\"in t&&n.bearing!==+t.bearing&&(a=!0,n.bearing=+t.bearing),\"pitch\"in t&&n.pitch!==+t.pitch&&(o=!0,n.pitch=+t.pitch),null==t.padding||n.isPaddingEqual(t.padding)||(n.padding=t.padding),this._applyUpdatedTransform(n),this.fire(new e.k(\"movestart\",r)).fire(new e.k(\"move\",r)),i&&this.fire(new e.k(\"zoomstart\",r)).fire(new e.k(\"zoom\",r)).fire(new e.k(\"zoomend\",r)),a&&this.fire(new e.k(\"rotatestart\",r)).fire(new e.k(\"rotate\",r)).fire(new e.k(\"rotateend\",r)),o&&this.fire(new e.k(\"pitchstart\",r)).fire(new e.k(\"pitch\",r)).fire(new e.k(\"pitchend\",r)),this.fire(new e.k(\"moveend\",r))}calculateCameraOptionsFromTo(t,r,n,i=0){const a=e.Z.fromLngLat(t,r),o=e.Z.fromLngLat(n,i),s=o.x-a.x,l=o.y-a.y,c=o.z-a.z,u=Math.hypot(s,l,c);if(0===u)throw new Error(\"Can't calculate camera options with same From and To\");const h=Math.hypot(s,l),f=this.transform.scaleZoom(this.transform.cameraToCenterDistance/u/this.transform.tileSize),p=180*Math.atan2(s,-l)/Math.PI;let d=180*Math.acos(h/u)/Math.PI;return d=c<0?90-d:90+d,{center:o.toLngLat(),zoom:f,pitch:d,bearing:p}}easeTo(t,r){var n;this._stop(!1,t.easeId),(!1===(t=e.e({offset:[0,0],duration:500,easing:e.b9},t)).animate||!t.essential&&a.prefersReducedMotion)&&(t.duration=0);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.project(m),x=i.project(g).sub(v),_=i.zoomScale(y-o);let b,w;t.around&&(b=e.N.convert(t.around),w=i.locationPoint(b));const T={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||y!==o,this._rotating=this._rotating||s!==u,this._pitching=this._pitching||h!==l,this._padding=!i.isPaddingEqual(f),this._easeId=t.easeId,this._prepareEase(r,t.noMoveStart,T),this.terrain&&this._prepareElevation(g),this._ease((n=>{if(this._zooming&&(i.zoom=e.z.number(o,y,n)),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n),b)i.setLocationAtPoint(b,w);else{const t=i.zoomScale(i.zoom-o),e=y>o?Math.min(2,_):Math.max(.5,_),r=Math.pow(e,1-n),a=i.unproject(v.add(x.mult(n*r)).mult(t));i.setLocationAtPoint(i.renderWorldCopies?a.wrap():a,d)}this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(e=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r,e)}),t),this}_prepareEase(t,r,n={}){this._moving=!0,r||n.moving||this.fire(new e.k(\"movestart\",t)),this._zooming&&!n.zooming&&this.fire(new e.k(\"zoomstart\",t)),this._rotating&&!n.rotating&&this.fire(new e.k(\"rotatestart\",t)),this._pitching&&!n.pitching&&this.fire(new e.k(\"pitchstart\",t))}_prepareElevation(t){this._elevationCenter=t,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(t,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(t){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);const r=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(t<1&&r!==this._elevationTarget){const e=this._elevationTarget-this._elevationStart,n=(r-(e*t+this._elevationStart))/(1-t);this._elevationStart+=t*(e-n),this._elevationTarget=r}this.transform.elevation=e.z.number(this._elevationStart,this._elevationTarget,t)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(t){const e=t.getCameraPosition(),r=this.terrain.getElevationForLngLatZoom(e.lngLat,t.zoom);if(e.altitude<r){const n=this.calculateCameraOptionsFromTo(e.lngLat,r,t.center,t.elevation);return{pitch:n.pitch,zoom:n.zoom}}return{}}_applyUpdatedTransform(t){const e=[];if(this.terrain&&e.push((t=>this._elevateCameraIfInsideTerrain(t))),this.transformCameraUpdate&&e.push((t=>this.transformCameraUpdate(t))),!e.length)return;const r=t.clone();for(const t of e){const e=r.clone(),{center:n,zoom:i,pitch:a,bearing:o,elevation:s}=t(e);n&&(e.center=n),void 0!==i&&(e.zoom=i),void 0!==a&&(e.pitch=a),void 0!==o&&(e.bearing=o),void 0!==s&&(e.elevation=s),r.apply(e)}this.transform.apply(r)}_fireMoveEvents(t){this.fire(new e.k(\"move\",t)),this._zooming&&this.fire(new e.k(\"zoom\",t)),this._rotating&&this.fire(new e.k(\"rotate\",t)),this._pitching&&this.fire(new e.k(\"pitch\",t))}_afterEase(t,r){if(this._easeId&&r&&this._easeId===r)return;delete this._easeId;const n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new e.k(\"zoomend\",t)),i&&this.fire(new e.k(\"rotateend\",t)),a&&this.fire(new e.k(\"pitchend\",t)),this.fire(new e.k(\"moveend\",t))}flyTo(t,r){var n;if(!t.essential&&a.prefersReducedMotion){const n=e.M(t,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(n,r)}this.stop(),t=e.e({offset:[0,0],speed:1.2,curve:1.42,easing:e.b9},t);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.zoomScale(y-o),x=i.project(m),_=i.project(g).sub(x);let b=t.curve;const w=Math.max(i.width,i.height),T=w/v,k=_.mag();if(\"minZoom\"in t){const r=e.ad(Math.min(t.minZoom,o,y),i.minZoom,i.maxZoom),n=w/i.zoomScale(r-o);b=Math.sqrt(n/k*2)}const A=b*b;function M(t){const e=(T*T-w*w+(t?-1:1)*A*A*k*k)/(2*(t?T:w)*A*k);return Math.log(Math.sqrt(e*e+1)-e)}function S(t){return(Math.exp(t)-Math.exp(-t))/2}function E(t){return(Math.exp(t)+Math.exp(-t))/2}const C=M(!1);let L=function(t){return E(C)/E(C+b*t)},I=function(t){return w*((E(C)*(S(e=C+b*t)/E(e))-S(C))/A)/k;var e},P=(M(!0)-C)/b;if(Math.abs(k)<1e-6||!isFinite(P)){if(Math.abs(w-T)<1e-6)return this.easeTo(t,r);const e=T<w?-1:1;P=Math.abs(Math.log(T/w))/b,I=()=>0,L=t=>Math.exp(e*b*t)}if(\"duration\"in t)t.duration=+t.duration;else{const e=\"screenSpeed\"in t?+t.screenSpeed/b:+t.speed;t.duration=1e3*P/e}return t.maxDuration&&t.duration>t.maxDuration&&(t.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._padding=!i.isPaddingEqual(f),this._prepareEase(r,!1),this.terrain&&this._prepareElevation(g),this._ease((n=>{const a=n*P,m=1/L(a);i.zoom=1===n?y:o+i.scaleZoom(m),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n);const v=1===n?g:i.unproject(x.add(_.mult(I(a))).mult(m));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,d),this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(()=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r)}),t),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(t,e){var r;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){const t=this._onEaseEnd;delete this._onEaseEnd,t.call(this,e)}return t||null===(r=this.handlers)||void 0===r||r.stop(!1),this}_ease(t,e,r){!1===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(t,r){t=e.b3(t,-180,180);const n=Math.abs(t-r);return Math.abs(t-360-r)<n&&(t-=360),Math.abs(t+360-r)<n&&(t+=360),t}_normalizeCenter(t,e){if(!e.renderWorldCopies||e.lngRange)return;const r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}queryTerrainElevation(t){return this.terrain?this.terrain.getElevationForLngLatZoom(e.N.convert(t),this.transform.tileZoom)-this.transform.elevation:null}}const Ci={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Li{constructor(t=Ci){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=t=>{!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType&&\"terrain\"!==t.type||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1===this._compact?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=t}getDefaultPosition(){return\"bottom-right\"}onAdd(t){return this._map=t,this._compact=this.options.compact,this._container=o.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=o.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(t,e){const r=this._map._getUIString(`AttributionControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)}_updateAttributions(){if(!this._map.style)return;let t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((t=>\"string\"!=typeof t?\"\":t))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){const t=this._map.style.stylesheet;this.styleOwner=t.owner,this.styleId=t.id}const e=this._map.style.sourceCaches;for(const r in e){const n=e[r];if(n.used||n.usedForTerrain){const e=n.getSource();e.attribution&&t.indexOf(e.attribution)<0&&t.push(e.attribution)}}t=t.filter((t=>String(t).trim())),t.sort(((t,e)=>t.length-e.length)),t=t.filter(((e,r)=>{for(let n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}));const r=t.join(\" | \");r!==this._attribHTML&&(this._attribHTML=r,t.length?(this._innerContainer.innerHTML=r,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Ii{constructor(t={}){this._updateCompact=()=>{const t=this._container.children;if(t.length){const e=t[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1!==this._compact&&e.classList.add(\"maplibregl-compact\"):e.classList.remove(\"maplibregl-compact\")}},this.options=t}getDefaultPosition(){return\"bottom-left\"}onAdd(t){this._map=t,this._compact=this.options&&this.options.compact,this._container=o.create(\"div\",\"maplibregl-ctrl\");const e=o.create(\"a\",\"maplibregl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://maplibre.org/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){o.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Pi{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(t){const e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e}remove(t){const e=this._currentlyRunning,r=e?this._queue.concat(e):this._queue;for(const e of r)if(e.id===t)return void(e.cancelled=!0)}run(t=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");const e=this._currentlyRunning=this._queue;this._queue=[];for(const r of e)if(!r.cancelled&&(r.callback(t),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var zi=e.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Oi extends e.E{constructor(t){super(),this.sourceCache=t,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,t.usedForTerrain=!0,t.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(t,r){this.sourceCache.update(t,r),this._renderableTilesKeys=[];const n={};for(const i of t.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:r}))n[i.key]=!0,this._renderableTilesKeys.push(i.key),this._tiles[i.key]||(i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),this._tiles[i.key]=new ht(i,this.tileSize));for(const t in this._tiles)n[t]||delete this._tiles[t]}freeRtt(t){for(const e in this._tiles){const r=this._tiles[e];(!t||r.tileID.equals(t)||r.tileID.isChildOf(t)||t.isChildOf(r.tileID))&&(r.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((t=>this.getTileByID(t)))}getTileByID(t){return this._tiles[t]}getTerrainCoords(t){const r={};for(const n of this._renderableTilesKeys){const i=this._tiles[n].tileID;if(i.canonical.equals(t.canonical)){const i=t.clone();i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),r[n]=i}else if(i.canonical.isChildOf(t.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=i.canonical.z-t.canonical.z,s=i.canonical.x-(i.canonical.x>>o<<o),l=i.canonical.y-(i.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,c,0,c,0,1),e.J(a.posMatrix,a.posMatrix,[-s*c,-l*c,0]),r[n]=a}else if(t.canonical.isChildOf(i.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=t.canonical.z-i.canonical.z,s=t.canonical.x-(t.canonical.x>>o<<o),l=t.canonical.y-(t.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,e.X,0,e.X,0,1),e.J(a.posMatrix,a.posMatrix,[s*c,l*c,0]),e.K(a.posMatrix,a.posMatrix,[1/2**o,1/2**o,0]),r[n]=a}}return r}getSourceTile(t,e){const r=this.sourceCache._source;let n=t.overscaledZ-this.deltaZoom;if(n>r.maxzoom&&(n=r.maxzoom),n<r.minzoom)return null;this._sourceTileCache[t.key]||(this._sourceTileCache[t.key]=t.scaledTo(n).key);let i=this.sourceCache.getTileByID(this._sourceTileCache[t.key]);if((!i||!i.dem)&&e)for(;n>=r.minzoom&&(!i||!i.dem);)i=this.sourceCache.getTileByID(t.scaledTo(n--).key);return i}tilesAfterTime(t=Date.now()){return Object.values(this._tiles).filter((e=>e.timeAdded>=t))}}class Di{constructor(t,e,r){this.painter=t,this.sourceCache=new Oi(e),this.options=r,this.exaggeration=\"number\"==typeof r.exaggeration?r.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(t,r,n,i=e.X){var a;if(!(r>=0&&r<i&&n>=0&&n<i))return 0;const o=this.getTerrainData(t),s=null===(a=o.tile)||void 0===a?void 0:a.dem;if(!s)return 0;const l=function(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t}([],[r/i*e.X,n/i*e.X],o.u_terrain_matrix),c=[l[0]*s.dim,l[1]*s.dim],u=Math.floor(c[0]),h=Math.floor(c[1]),f=c[0]-u,p=c[1]-h;return s.get(u,h)*(1-f)*(1-p)+s.get(u+1,h)*f*(1-p)+s.get(u,h+1)*(1-f)*p+s.get(u+1,h+1)*f*p}getElevationForLngLatZoom(t,r){const{tileID:n,mercatorX:i,mercatorY:a}=this._getOverscaledTileIDFromLngLatZoom(t,r);return this.getElevation(n,i%e.X,a%e.X,e.X)}getElevation(t,r,n,i=e.X){return this.getDEMElevation(t,r,n,i)*this.exaggeration}getTerrainData(t){if(!this._emptyDemTexture){const t=this.painter.context,r=new e.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new w(t,r,t.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new w(t,new e.R({width:1,height:1}),t.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=e.ao([])}const r=this.sourceCache.getSourceTile(t,!0);if(r&&r.dem&&(!r.demTexture||r.needsTerrainPrepare)){const t=this.painter.context;r.demTexture=this.painter.getTileTexture(r.dem.stride),r.demTexture?r.demTexture.update(r.dem.getPixels(),{premultiply:!1}):r.demTexture=new w(t,r.dem.getPixels(),t.gl.RGBA,{premultiply:!1}),r.demTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),r.needsTerrainPrepare=!1}const n=r&&r+r.tileID.key+t.key;if(n&&!this._demMatrixCache[n]){const n=this.sourceCache.sourceCache._source.maxzoom;let i=t.canonical.z-r.tileID.canonical.z;t.overscaledZ>t.canonical.z&&(t.canonical.z>=n?i=t.canonical.z-n:e.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));const a=t.canonical.x-(t.canonical.x>>i<<i),o=t.canonical.y-(t.canonical.y>>i<<i),s=e.bb(new Float64Array(16),[1/(e.X<<i),1/(e.X<<i),0]);e.J(s,s,[a*e.X,o*e.X,0]),this._demMatrixCache[t.key]={matrix:s,coord:t}}return{u_depth:2,u_terrain:3,u_terrain_dim:r&&r.dem&&r.dem.dim||1,u_terrain_matrix:n?this._demMatrixCache[t.key].matrix:this._emptyDemMatrix,u_terrain_unpack:r&&r.dem&&r.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(r&&r.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:r}}getFramebuffer(t){const e=this.painter,r=e.width/devicePixelRatio,n=e.height/devicePixelRatio;return!this._fbo||this._fbo.width===r&&this._fbo.height===n||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=e.context.createFramebuffer(r,n,!0,!1),this._fbo.depthAttachment.set(e.context.createRenderbuffer(e.context.gl.DEPTH_COMPONENT16,r,n))),this._fbo.colorAttachment.set(\"coords\"===t?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){const t=this.painter.context;if(this._coordsTexture)return this._coordsTexture;const r=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let t=0,e=0;t<this._coordsTextureSize;t++)for(let n=0;n<this._coordsTextureSize;n++,e+=4)r[e+0]=255&n,r[e+1]=255&t,r[e+2]=n>>8<<4|t>>8,r[e+3]=0;const n=new e.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(r.buffer)),i=new w(t,n,t.gl.RGBA,{premultiply:!1});return i.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._coordsTexture=i,i}pointCoordinate(t){this.painter.maybeDrawDepthAndCoords(!0);const r=new Uint8Array(4),n=this.painter.context,i=n.gl,a=Math.round(t.x*this.painter.pixelRatio/devicePixelRatio),o=Math.round(t.y*this.painter.pixelRatio/devicePixelRatio),s=Math.round(this.painter.height/devicePixelRatio);n.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),i.readPixels(a,s-o-1,1,1,i.RGBA,i.UNSIGNED_BYTE,r),n.bindFramebuffer.set(null);const l=r[0]+(r[2]>>4<<8),c=r[1]+((15&r[2])<<8),u=this.coordsIndex[255-r[3]],h=u&&this.sourceCache.getTileByID(u);if(!h)return null;const f=this._coordsTextureSize,p=(1<<h.tileID.canonical.z)*f;return new e.Z((h.tileID.canonical.x*f+l)/p+h.tileID.wrap,(h.tileID.canonical.y*f+c)/p,this.getElevation(h.tileID,l,c,f))}depthAtPoint(t){const e=new Uint8Array(4),r=this.painter.context,n=r.gl;return r.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),n.readPixels(t.x,this.painter.height/devicePixelRatio-t.y-1,1,1,n.RGBA,n.UNSIGNED_BYTE,e),r.bindFramebuffer.set(null),(e[0]/16777216+e[1]/65536+e[2]/256+e[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;const t=this.painter.context,r=new e.bc,n=new e.aY,i=this.meshSize,a=e.X/i,o=i*i;for(let t=0;t<=i;t++)for(let e=0;e<=i;e++)r.emplaceBack(e*a,t*a,0);for(let t=0;t<o;t+=i+1)for(let e=0;e<i;e++)n.emplaceBack(e+t,i+e+t+1,i+e+t+2),n.emplaceBack(e+t,i+e+t+2,e+t+1);const s=r.length,l=s+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(n*a,t*e.X,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(l+t,l+t+1,l+t+3),n.emplaceBack(l+t,l+t+3,l+t+2),n.emplaceBack(s+t,s+t+3,s+t+1),n.emplaceBack(s+t,s+t+2,s+t+3);const c=r.length,u=c+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(t*e.X,n*a,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(c+t,c+t+1,c+t+3),n.emplaceBack(c+t,c+t+3,c+t+2),n.emplaceBack(u+t,u+t+3,u+t+1),n.emplaceBack(u+t,u+t+2,u+t+3);return this._mesh=new wn(t.createVertexBuffer(r,zi.members),t.createIndexBuffer(n),e.a0.simpleSegment(0,0,r.length,n.length)),this._mesh}getMeshFrameDelta(t){return 2*Math.PI*e.bd/Math.pow(2,t)/5}getMinTileElevationForLngLatZoom(t,e){var r;const{tileID:n}=this._getOverscaledTileIDFromLngLatZoom(t,e);return null!==(r=this.getMinMaxElevation(n).minElevation)&&void 0!==r?r:0}getMinMaxElevation(t){const e=this.getTerrainData(t).tile,r={minElevation:null,maxElevation:null};return e&&e.dem&&(r.minElevation=e.dem.min*this.exaggeration,r.maxElevation=e.dem.max*this.exaggeration),r}_getOverscaledTileIDFromLngLatZoom(t,r){const n=e.Z.fromLngLat(t.wrap()),i=(1<<r)*e.X,a=n.x*i,o=n.y*i,s=Math.floor(a/e.X),l=Math.floor(o/e.X);return{tileID:new e.S(r,0,r,s,l),mercatorX:a,mercatorY:o}}}class Ri{constructor(t,e,r){this._context=t,this._size=e,this._tileSize=r,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(const t of this._objects)t.texture.destroy(),t.fbo.destroy()}_createObject(t){const e=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),r=new w(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return r.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),e.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),e.colorAttachment.set(r.texture),{id:t,fbo:e,texture:r,stamp:-1,inUse:!1}}getObjectForId(t){return this._objects[t]}useObject(t){t.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((e=>t.id!==e)),this._recentlyUsed.push(t.id)}stampObject(t){t.stamp=++this._stamp}getOrCreateFreeObject(){for(const t of this._recentlyUsed)if(!this._objects[t].inUse)return this._objects[t];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");const t=this._createObject(this._objects.length);return this._objects.push(t),t}freeObject(t){t.inUse=!1}freeAllObjects(){for(const t of this._objects)this.freeObject(t)}isFull(){return!(this._objects.length<this._size)&&!1===this._objects.some((t=>!t.inUse))}}const Fi={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Bi{constructor(t,e){this.painter=t,this.terrain=e,this.pool=new Ri(t.context,30,e.sourceCache.tileSize*e.qualityFactor)}destruct(){this.pool.destruct()}getTexture(t){return this.pool.getObjectForId(t.rtt[this._stacks.length-1].id).texture}prepareForRender(t,e){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=t._order.filter((r=>!t._layers[r].isHidden(e))),this._coordsDescendingInv={};for(const e in t.sourceCaches){this._coordsDescendingInv[e]={};const r=t.sourceCaches[e].getVisibleCoordinates();for(const t of r){const r=this.terrain.sourceCache.getTerrainCoords(t);for(const t in r)this._coordsDescendingInv[e][t]||(this._coordsDescendingInv[e][t]=[]),this._coordsDescendingInv[e][t].push(r[t])}}this._coordsDescendingInvStr={};for(const e of t._order){const r=t._layers[e],n=r.source;if(Fi[r.type]&&!this._coordsDescendingInvStr[n]){this._coordsDescendingInvStr[n]={};for(const t in this._coordsDescendingInv[n])this._coordsDescendingInvStr[n][t]=this._coordsDescendingInv[n][t].map((t=>t.key)).sort().join()}}for(const t of this._renderableTiles)for(const e in this._coordsDescendingInvStr){const r=this._coordsDescendingInvStr[e][t.tileID.key];r&&r!==t.rttCoords[e]&&(t.rtt=[])}}renderLayer(t){if(t.isHidden(this.painter.transform.zoom))return!1;const r=t.type,n=this.painter,i=this._renderableLayerIds[this._renderableLayerIds.length-1]===t.id;if(Fi[r]&&(this._prevType&&Fi[this._prevType]||this._stacks.push([]),this._prevType=r,this._stacks[this._stacks.length-1].push(t.id),!i))return!0;if(Fi[this._prevType]||Fi[r]&&i){this._prevType=r;const t=this._stacks.length-1,i=this._stacks[t]||[];for(const r of this._renderableTiles){if(this.pool.isFull()&&(bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(r),r.rtt[t]){const e=this.pool.getObjectForId(r.rtt[t].id);if(e.stamp===r.rtt[t].stamp){this.pool.useObject(e);continue}}const a=this.pool.getOrCreateFreeObject();this.pool.useObject(a),this.pool.stampObject(a),r.rtt[t]={id:a.id,stamp:a.stamp},n.context.bindFramebuffer.set(a.fbo.framebuffer),n.context.clear({color:e.aN.transparent,stencil:0}),n.currentStencilSource=void 0;for(let t=0;t<i.length;t++){const e=n.style._layers[i[t]],o=e.source?this._coordsDescendingInv[e.source][r.tileID.key]:[r.tileID];n.context.viewport.set([0,0,a.fbo.width,a.fbo.height]),n._renderTileClippingMasks(e,o),n.renderLayer(n,n.style.sourceCaches[e.source],e,o),e.source&&(r.rttCoords[e.source]=this._coordsDescendingInvStr[e.source][r.tileID.key])}}return bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Fi[r]}return!1}}const Ni={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use ⌘ + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ji=r,Ui={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Ci,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:e.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0};const Vi=t=>{t.touchstart=t.dragStart,t.touchmoveWindow=t.dragMove,t.touchend=t.dragEnd},qi={showCompass:!0,showZoom:!0,visualizePitch:!1};class Hi{constructor(t,r,n=!1){this.mousedown=t=>{this.startMouse(e.e({},t,{ctrlKey:!0,preventDefault:()=>t.preventDefault()}),o.mousePos(this.element,t)),o.addEventListener(window,\"mousemove\",this.mousemove),o.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=t=>{this.moveMouse(t,o.mousePos(this.element,t))},this.mouseup=t=>{this.mouseRotate.dragEnd(t),this.mousePitch&&this.mousePitch.dragEnd(t),this.offTemp()},this.touchstart=t=>{1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.startTouch(t,this._startPos),o.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=t=>{1!==t.targetTouches.length?this.reset():(this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.moveTouch(t,this._lastPos))},this.touchend=t=>{0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;const i=t.dragRotate._mouseRotate.getClickTolerance(),a=t.dragRotate._mousePitch.getClickTolerance();this.element=r,this.mouseRotate=ei({clickTolerance:i,enable:!0}),this.touchRotate=(({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:i,enable:!0}),this.map=t,n&&(this.mousePitch=ri({clickTolerance:a,enable:!0}),this.touchPitch=(({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:a,enable:!0})),o.addEventListener(r,\"mousedown\",this.mousedown),o.addEventListener(r,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(r,\"touchcancel\",this.reset)}startMouse(t,e){this.mouseRotate.dragStart(t,e),this.mousePitch&&this.mousePitch.dragStart(t,e),o.disableDrag()}startTouch(t,e){this.touchRotate.dragStart(t,e),this.touchPitch&&this.touchPitch.dragStart(t,e),o.disableDrag()}moveMouse(t,e){const r=this.map,{bearingDelta:n}=this.mouseRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.mousePitch){const{pitchDelta:n}=this.mousePitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}moveTouch(t,e){const r=this.map,{bearingDelta:n}=this.touchRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.touchPitch){const{pitchDelta:n}=this.touchPitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}off(){const t=this.element;o.removeEventListener(t,\"mousedown\",this.mousedown),o.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend),o.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()}offTemp(){o.enableDrag(),o.removeEventListener(window,\"mousemove\",this.mousemove),o.removeEventListener(window,\"mouseup\",this.mouseup),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend)}}let Gi;function Zi(t,r,n){const i=new e.N(t.lng,t.lat);if(t=new e.N(t.lng,t.lat),r){const i=new e.N(t.lng-360,t.lat),a=new e.N(t.lng+360,t.lat),o=n.locationPoint(t).distSqr(r);n.locationPoint(i).distSqr(r)<o?t=i:n.locationPoint(a).distSqr(r)<o&&(t=a)}for(;Math.abs(t.lng-n.center.lng)>180;){const e=n.locationPoint(t);if(e.x>=0&&e.y>=0&&e.x<=n.width&&e.y<=n.height)break;t.lng>n.center.lng?t.lng-=360:t.lng+=360}return t.lng!==i.lng&&n.locationPoint(t).y>n.height/2-n.getHorizon()?t:i}const Wi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Yi(t,e,r){const n=t.classList;for(const t in Wi)n.remove(`maplibregl-${r}-anchor-${t}`);n.add(`maplibregl-${r}-anchor-${e}`)}class Xi extends e.E{constructor(t){if(super(),this._onKeyPress=t=>{const e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},this._onMapClick=t=>{const e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},this._update=t=>{var e;if(!this._map)return;const r=this._map.loaded()&&!this._map.isMoving();(\"terrain\"===(null==t?void 0:t.type)||\"render\"===(null==t?void 0:t.type)&&!r)&&this._map.once(\"render\",this._update),this._map.transform.renderWorldCopies?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let n=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?n=`rotateZ(${this._rotation}deg)`:\"map\"===this._rotationAlignment&&(n=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let i=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?i=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(i=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),o.setTransform(this._element,`${Wi[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${i} ${n}`),a.frameAsync(new AbortController).then((()=>{this._updateOpacity(t&&\"moveend\"===t.type)})).catch((()=>{}))},this._onMove=t=>{if(!this._isDragging){const e=this._clickTolerance||this._map._clickTolerance;this._isDragging=t.point.dist(this._pointerdownPos)>=e}this._isDragging&&(this._pos=t.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new e.k(\"dragstart\"))),this.fire(new e.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new e.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=t=>{this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=t&&t.anchor||\"center\",this._color=t&&t.color||\"#3FB1CE\",this._scale=t&&t.scale||1,this._draggable=t&&t.draggable||!1,this._clickTolerance=t&&t.clickTolerance||0,this._subpixelPositioning=t&&t.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=t&&t.rotation||0,this._rotationAlignment=t&&t.rotationAlignment||\"auto\",this._pitchAlignment=t&&t.pitchAlignment&&\"auto\"!==t.pitchAlignment?t.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(null==t?void 0:t.opacity,null==t?void 0:t.opacityWhenCovered),t&&t.element)this._element=t.element,this._offset=e.P.convert(t&&t.offset||[0,0]);else{this._defaultMarker=!0,this._element=o.create(\"div\");const r=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),n=41,i=27;r.setAttributeNS(null,\"display\",\"block\"),r.setAttributeNS(null,\"height\",`${n}px`),r.setAttributeNS(null,\"width\",`${i}px`),r.setAttributeNS(null,\"viewBox\",`0 0 ${i} ${n}`);const a=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"stroke\",\"none\"),a.setAttributeNS(null,\"stroke-width\",\"1\"),a.setAttributeNS(null,\"fill\",\"none\"),a.setAttributeNS(null,\"fill-rule\",\"evenodd\");const s=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");const l=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");const c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(const t of c){const e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");e.setAttributeNS(null,\"opacity\",\"0.04\"),e.setAttributeNS(null,\"cx\",\"10.5\"),e.setAttributeNS(null,\"cy\",\"5.80029008\"),e.setAttributeNS(null,\"rx\",t.rx),e.setAttributeNS(null,\"ry\",t.ry),l.appendChild(e)}const u=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"fill\",this._color);const h=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");h.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),u.appendChild(h);const f=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");f.setAttributeNS(null,\"opacity\",\"0.25\"),f.setAttributeNS(null,\"fill\",\"#000000\");const p=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),f.appendChild(p);const d=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),d.setAttributeNS(null,\"fill\",\"#FFFFFF\");const m=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");const g=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");const y=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(g),m.appendChild(y),s.appendChild(l),s.appendChild(u),s.appendChild(f),s.appendChild(d),s.appendChild(m),r.appendChild(s),r.setAttributeNS(null,\"height\",n*this._scale+\"px\"),r.setAttributeNS(null,\"width\",i*this._scale+\"px\"),this._element.appendChild(r),this._offset=e.P.convert(t&&t.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(t=>{t.preventDefault()})),this._element.addEventListener(\"mousedown\",(t=>{t.preventDefault()})),Yi(this._element,this._anchor,\"marker\"),t&&t.className)for(const e of t.className.split(\" \"))this._element.classList.add(e);this._popup=null}addTo(t){return this.remove(),this._map=t,this._element.setAttribute(\"aria-label\",t._getUIString(\"Marker.Title\")),t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),t.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){const e=38.1,r=13.5,n=Math.abs(r)/Math.SQRT2;t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-e],\"bottom-left\":[n,-1*(e-r+n)],\"bottom-right\":[-n,-1*(e-r+n)],left:[r,-1*(e-r)],right:[-r,-1*(e-r)]}:this._offset}this._popup=t,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(t){return this._subpixelPositioning=t,this}getPopup(){return this._popup}togglePopup(){const t=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:t?(t.isOpen()?t.remove():(t.setLngLat(this._lngLat),t.addTo(this._map)),this):this}_updateOpacity(t=!1){var r,n;if(!(null===(r=this._map)||void 0===r?void 0:r.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(t)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}const i=this._map,a=i.terrain.depthAtPoint(this._pos),o=i.terrain.getElevationForLngLatZoom(this._lngLat,i.transform.tileZoom);if(i.transform.lngLatToCameraDepth(this._lngLat,o)-a<.006)return void(this._element.style.opacity=this._opacity);const s=-this._offset.y/i.transform._pixelPerMeter,l=Math.sin(i.getPitch()*Math.PI/180)*s,c=i.terrain.depthAtPoint(new e.P(this._pos.x,this._pos.y-this._offset.y)),u=i.transform.lngLatToCameraDepth(this._lngLat,o+l)-c>.006;(null===(n=this._popup)||void 0===n?void 0:n.isOpen())&&u&&this._popup.remove(),this._element.style.opacity=u?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(t){return this._offset=e.P.convert(t),this._update(),this}addClassName(t){this._element.classList.add(t)}removeClassName(t){this._element.classList.remove(t)}toggleClassName(t){return this._element.classList.toggle(t)}setDraggable(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(t){return this._rotation=t||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(t){return this._rotationAlignment=t||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(t,e){return void 0===t&&void 0===e&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),void 0!==t&&(this._opacity=t),void 0!==e&&(this._opacityWhenCovered=e),this._map&&this._updateOpacity(!0),this}}const $i={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};let Ji=0,Ki=!1;class Qi extends e.E{constructor(t){super(),this._onSuccess=t=>{if(this._map){if(this._isOutOfMapMaxBounds(t))return this._setErrorState(),this.fire(new e.k(\"outofmaxbounds\",t)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=t,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(t),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(t),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"geolocate\",t)),this._finish()}},this._updateCamera=t=>{const r=new e.N(t.coords.longitude,t.coords.latitude),n=t.coords.accuracy,i=this._map.getBearing(),a=e.e({bearing:i},this.options.fitBoundsOptions),o=X.fromLngLat(r,n);this._map.fitBounds(o,a,{geolocateSource:!0})},this._updateMarker=t=>{if(t){const r=new e.N(t.coords.longitude,t.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=t.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=t=>{if(this._map){if(this.options.trackUserLocation)if(1===t.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===t.code&&Ki)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"error\",t)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this._geolocateButton=o.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),o.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=t=>{if(this._map){if(!1===t){e.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}else{const t=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Xi({element:this._dotElement}),this._circleElement=o.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Xi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(t=>{const r=t.originalEvent&&\"resize\"===t.originalEvent.type;t.geolocateSource||\"ACTIVE_LOCK\"!==this._watchState||r||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new e.k(\"trackuserlocationend\")),this.fire(new e.k(\"userlocationlostfocus\")))}))}},this.options=e.e({},$i,t)}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return e._(this,arguments,void 0,(function*(t=!1){if(void 0!==Gi&&!t)return Gi;if(void 0===window.navigator.permissions)return Gi=!!window.navigator.geolocation,Gi;try{const t=yield window.navigator.permissions.query({name:\"geolocation\"});Gi=\"denied\"!==t.state}catch(t){Gi=!!window.navigator.geolocation}return Gi}))}().then((t=>this._finishSetupUI(t))),this._container}onRemove(){void 0!==this._geolocationWatchID&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ji=0,Ki=!1}_isOutOfMapMaxBounds(t){const e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){const t=this._map.getBounds(),e=t.getSouthEast(),r=t.getNorthEast(),n=e.distanceTo(r),i=this._map._container.clientHeight,a=Math.ceil(this._accuracy/(n/i)*2);this._circleElement.style.width=`${a}px`,this._circleElement.style.height=`${a}px`}trigger(){if(!this._setup)return e.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new e.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ji--,Ki=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new e.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.k(\"trackuserlocationstart\")),this.fire(new e.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){let t;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Ji++,Ji>1?(t={maximumAge:6e5,timeout:0},Ki=!0):(t=this.options.positionOptions,Ki=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,t)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}}const ta={maxWidth:100,unit:\"metric\"};function ea(t,e,r){const n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){const r=3.2808*s;r>5280?ra(e,n,r/5280,t._getUIString(\"ScaleControl.Miles\")):ra(e,n,r,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ra(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ra(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ra(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ra(t,e,r,n){const i=function(t){const e=Math.pow(10,`${Math.floor(t)}`.length-1);let r=t/e;return r=r>=10?10:r>=5?5:r>=3?3:r>=2?2:r>=1?1:function(t){const e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(r),e*r}(r),a=i/r;t.style.width=e*a+\"px\",t.innerHTML=`${i}&nbsp;${n}`}class na extends e.E{constructor(t={}){super(),this._onFullscreenChange=()=>{var t;let e=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;null===(t=null==e?void 0:e.shadowRoot)||void 0===t?void 0:t.fullscreenElement;)e=e.shadowRoot.fullscreenElement;e===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,t&&t.container&&(t.container instanceof HTMLElement?this._container=t.container:e.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(t){return this._map=t,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){o.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){const t=this._fullscreenButton=o.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"maplibregl-ctrl-icon\",t).setAttribute(\"aria-hidden\",\"true\"),t.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){const t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new e.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new e.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}}const ia={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},aa=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");class oa extends e.E{constructor(t){super(),this.remove=()=>(this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new e.k(\"close\"))),this),this._onMouseUp=t=>{this._update(t.point)},this._onMouseMove=t=>{this._update(t.point)},this._onDrag=t=>{this._update(t.point)},this._update=t=>{var e;const r=this._lngLat||this._trackPointer;if(!this._map||!r||!this._content)return;if(!this._container){if(this._container=o.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(const t of this.options.className.split(\" \"))this._container.classList.add(t);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._trackPointer&&!t)return;const n=this._flatPos=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&t?t:this._map.transform.locationPoint(this._lngLat));let i=this.options.anchor;const a=sa(this.options.offset);if(!i){const t=this._container.offsetWidth,e=this._container.offsetHeight;let r;r=n.y+a.bottom.y<e?[\"top\"]:n.y>this._map.transform.height-e?[\"bottom\"]:[],n.x<t/2?r.push(\"left\"):n.x>this._map.transform.width-t/2&&r.push(\"right\"),i=0===r.length?\"bottom\":r.join(\"-\")}let s=n.add(a[i]);this.options.subpixelPositioning||(s=s.round()),o.setTransform(this._container,`${Wi[i]} translate(${s.x}px,${s.y}px)`),Yi(this._container,i,\"popup\")},this._onClose=()=>{this.remove()},this.options=e.e(Object.create(ia),t)}addTo(t){return this._map&&this.remove(),this._map=t,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(t){return this.setDOMContent(document.createTextNode(t))}setHTML(t){const e=document.createDocumentFragment(),r=document.createElement(\"body\");let n;for(r.innerHTML=t;n=r.firstChild,n;)e.appendChild(n);return this.setDOMContent(e)}getMaxWidth(){var t;return null===(t=this._container)||void 0===t?void 0:t.style.maxWidth}setMaxWidth(t){return this.options.maxWidth=t,this._update(),this}setDOMContent(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(t){return this._container&&this._container.classList.add(t),this}removeClassName(t){return this._container&&this._container.classList.remove(t),this}setOffset(t){return this.options.offset=t,this._update(),this}toggleClassName(t){if(this._container)return this._container.classList.toggle(t)}setSubpixelPositioning(t){this.options.subpixelPositioning=t}_createCloseButton(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;const t=this._container.querySelector(aa);t&&t.focus()}}function sa(t){if(t){if(\"number\"==typeof t){const r=Math.round(Math.abs(t)/Math.SQRT2);return{center:new e.P(0,0),top:new e.P(0,t),\"top-left\":new e.P(r,r),\"top-right\":new e.P(-r,r),bottom:new e.P(0,-t),\"bottom-left\":new e.P(r,-r),\"bottom-right\":new e.P(-r,-r),left:new e.P(t,0),right:new e.P(-t,0)}}if(t instanceof e.P||Array.isArray(t)){const r=e.P.convert(t);return{center:r,top:r,\"top-left\":r,\"top-right\":r,bottom:r,\"bottom-left\":r,\"bottom-right\":r,left:r,right:r}}return{center:e.P.convert(t.center||[0,0]),top:e.P.convert(t.top||[0,0]),\"top-left\":e.P.convert(t[\"top-left\"]||[0,0]),\"top-right\":e.P.convert(t[\"top-right\"]||[0,0]),bottom:e.P.convert(t.bottom||[0,0]),\"bottom-left\":e.P.convert(t[\"bottom-left\"]||[0,0]),\"bottom-right\":e.P.convert(t[\"bottom-right\"]||[0,0]),left:e.P.convert(t.left||[0,0]),right:e.P.convert(t.right||[0,0])}}return sa(new e.P(0,0))}const la=r;t.AJAXError=e.bg,t.Evented=e.E,t.LngLat=e.N,t.MercatorCoordinate=e.Z,t.Point=e.P,t.addProtocol=e.bh,t.config=e.a,t.removeProtocol=e.bi,t.AttributionControl=Li,t.BoxZoomHandler=Gn,t.CanvasSource=it,t.CooperativeGesturesHandler=Ti,t.DoubleClickZoomHandler=yi,t.DragPanHandler=_i,t.DragRotateHandler=bi,t.EdgeInsets=Mn,t.FullscreenControl=na,t.GeoJSONSource=tt,t.GeolocateControl=Qi,t.Hash=Ln,t.ImageSource=rt,t.KeyboardHandler=pi,t.LngLatBounds=X,t.LogoControl=Ii,t.Map=class extends Ei{constructor(t){e.be.mark(e.bf.create);const r=Object.assign(Object.assign({},Ui),t);if(null!=r.minZoom&&null!=r.maxZoom&&r.minZoom>r.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=r.minPitch&&null!=r.maxPitch&&r.minPitch>r.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=r.minPitch&&r.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=r.maxPitch&&r.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new En(r.minZoom,r.maxZoom,r.minPitch,r.maxPitch,r.renderWorldCopies),{bearingSnap:r.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Pi,this._controls=[],this._mapId=e.a4(),this._contextLost=t=>{t.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new e.k(\"webglcontextlost\",{originalEvent:t}))},this._contextRestored=t=>{this._setupPainter(),this.resize(),this._update(),this.fire(new e.k(\"webglcontextrestored\",{originalEvent:t}))},this._onMapScroll=t=>{if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=r.interactive,this._maxTileCacheSize=r.maxTileCacheSize,this._maxTileCacheZoomLevels=r.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=!0===r.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=!0===r.preserveDrawingBuffer,this._antialias=!0===r.antialias,this._trackResize=!0===r.trackResize,this._bearingSnap=r.bearingSnap,this._refreshExpiredTiles=!0===r.refreshExpiredTiles,this._fadeDuration=r.fadeDuration,this._crossSourceCollisions=!0===r.crossSourceCollisions,this._collectResourceTiming=!0===r.collectResourceTiming,this._locale=Object.assign(Object.assign({},Ni),r.locale),this._clickTolerance=r.clickTolerance,this._overridePixelRatio=r.pixelRatio,this._maxCanvasSize=r.maxCanvasSize,this.transformCameraUpdate=r.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=!0===r.cancelPendingTileRequestsWhileZooming,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new d(r.transformRequest),\"string\"==typeof r.container){if(this._container=document.getElementById(r.container),!this._container)throw new Error(`Container '${r.container}' not found.`)}else{if(!(r.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=r.container}if(r.maxBounds&&this.setMaxBounds(r.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),\"undefined\"!=typeof window){addEventListener(\"online\",this._onWindowOnline,!1);let t=!1;const e=Cn((t=>{this._trackResize&&!this._removed&&this.resize(t)._update()}),50);this._resizeObserver=new ResizeObserver((r=>{t?e(r):t=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Si(this,r);const n=\"string\"==typeof r.hash&&r.hash||void 0;this._hash=r.hash&&new Ln(n).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:r.center,zoom:r.zoom,bearing:r.bearing,pitch:r.pitch}),r.bounds&&(this.resize(),this.fitBounds(r.bounds,e.e({},r.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=r.localIdeographFontFamily,this._validateStyle=r.validateStyle,r.style&&this.setStyle(r.style,{localIdeographFontFamily:r.localIdeographFontFamily}),r.attributionControl&&this.addControl(new Li(\"boolean\"==typeof r.attributionControl?void 0:r.attributionControl)),r.maplibreLogo&&this.addControl(new Ii,r.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(t=>{this._update(\"style\"===t.dataType),this.fire(new e.k(`${t.dataType}data`,t))})),this.on(\"dataloading\",(t=>{this.fire(new e.k(`${t.dataType}dataloading`,t))})),this.on(\"dataabort\",(t=>{this.fire(new e.k(\"sourcedataabort\",t))}))}_getMapId(){return this._mapId}addControl(t,r){if(void 0===r&&(r=t.getDefaultPosition?t.getDefaultPosition():\"top-right\"),!t||!t.onAdd)return this.fire(new e.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));const n=t.onAdd(this);this._controls.push(t);const i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this}removeControl(t){if(!t||!t.onRemove)return this.fire(new e.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));const r=this._controls.indexOf(t);return r>-1&&this._controls.splice(r,1),t.onRemove(this),this}hasControl(t){return this._controls.indexOf(t)>-1}calculateCameraOptionsFromTo(t,e,r,n){return null==n&&this.terrain&&(n=this.terrain.getElevationForLngLatZoom(r,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(t,e,r,n)}resize(t){var r;const n=this._containerDimensions(),i=n[0],a=n[1],o=this._getClampedPixelRatio(i,a);if(this._resizeCanvas(i,a,o),this.painter.resize(i,a,o),this.painter.overLimit()){const t=this.painter.context.gl;this._maxCanvasSize=[t.drawingBufferWidth,t.drawingBufferHeight];const e=this._getClampedPixelRatio(i,a);this._resizeCanvas(i,a,e),this.painter.resize(i,a,e)}this.transform.resize(i,a),null===(r=this._requestedCameraState)||void 0===r||r.resize(i,a);const s=!this._moving;return s&&(this.stop(),this.fire(new e.k(\"movestart\",t)).fire(new e.k(\"move\",t))),this.fire(new e.k(\"resize\",t)),s&&this.fire(new e.k(\"moveend\",t)),this}_getClampedPixelRatio(t,e){const{0:r,1:n}=this._maxCanvasSize,i=this.getPixelRatio(),a=t*i,o=e*i,s=a>r?r/a:1,l=o>n?n/o:1;return Math.min(s,l)*i}getPixelRatio(){var t;return null!==(t=this._overridePixelRatio)&&void 0!==t?t:devicePixelRatio}setPixelRatio(t){this._overridePixelRatio=t,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(t){return this.transform.setMaxBounds(X.convert(t)),this._update()}setMinZoom(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(t){if((t=null==t?60:t)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(t){return this.transform.renderWorldCopies=t,this._update()}project(t){return this.transform.locationPoint(e.N.convert(t),this.style&&this.terrain)}unproject(t){return this.transform.pointLocation(e.P.convert(t),this.terrain)}isMoving(){var t;return this._moving||(null===(t=this.handlers)||void 0===t?void 0:t.isMoving())}isZooming(){var t;return this._zooming||(null===(t=this.handlers)||void 0===t?void 0:t.isZooming())}isRotating(){var t;return this._rotating||(null===(t=this.handlers)||void 0===t?void 0:t.isRotating())}_createDelegatedListener(t,e,r){if(\"mouseenter\"===t||\"mouseover\"===t){let n=!1;const i=i=>{const a=this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[];a.length?n||(n=!0,r.call(this,new Nn(t,this,i.originalEvent,{features:a}))):n=!1};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:()=>{n=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){let n=!1;const i=i=>{(this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?n=!0:n&&(n=!1,r.call(this,new Nn(t,this,i.originalEvent)))},a=e=>{n&&(n=!1,r.call(this,new Nn(t,this,e.originalEvent)))};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:a}}}{const n=t=>{const n=this.getLayer(e)?this.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(this,t),delete t.features)};return{layer:e,listener:r,delegates:{[t]:n}}}}on(t,e,r){if(void 0===r)return super.on(t,e);const n=this._createDelegatedListener(t,e,r);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(n);for(const t in n.delegates)this.on(t,n.delegates[t]);return this}once(t,e,r){if(void 0===r)return super.once(t,e);const n=this._createDelegatedListener(t,e,r);for(const t in n.delegates)this.once(t,n.delegates[t]);return this}off(t,e,r){if(void 0===r)return super.off(t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&(n=>{const i=n[t];for(let t=0;t<i.length;t++){const n=i[t];if(n.layer===e&&n.listener===r){for(const t in n.delegates)this.off(t,n.delegates[t]);return i.splice(t,1),this}}})(this._delegatedListeners),this}queryRenderedFeatures(t,r){if(!this.style)return[];let n;const i=t instanceof e.P||Array.isArray(t),a=i?t:[[0,0],[this.transform.width,this.transform.height]];if(r=r||(i?{}:t)||{},a instanceof e.P||\"number\"==typeof a[0])n=[e.P.convert(a)];else{const t=e.P.convert(a[0]),r=e.P.convert(a[1]);n=[t,new e.P(r.x,t.y),r,new e.P(t.x,r.y),t]}return this.style.queryRenderedFeatures(n,r,this.transform)}querySourceFeatures(t,e){return this.style.querySourceFeatures(t,e)}setStyle(t,r){return!1!==(r=e.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&t?(this._diffStyle(t,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(t,r))}setTransformRequest(t){return this._requestManager.setTransformRequest(t),this}_getUIString(t){const e=this._locale[t];if(null==e)throw new Error(`Missing UI string '${t}'`);return e}_updateStyle(t,e){if(e.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(t,e)));const r=this.style&&e.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!t)),t?(this.style=new de(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t,e,r):this.style.loadJSON(t,e,r),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new de(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(t,r){if(\"string\"==typeof t){const n=t,i=this._requestManager.transformRequest(n,\"Style\");e.h(i,new AbortController).then((t=>{this._updateDiff(t.data,r)})).catch((t=>{t&&this.fire(new e.j(t))}))}else\"object\"==typeof t&&this._updateDiff(t,r)}_updateDiff(t,r){try{this.style.setState(t,r)&&this._update(!0)}catch(n){e.w(`Unable to perform style diff: ${n.message||n.error||n}.  Rebuilding the style from scratch.`),this._updateStyle(t,r)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():e.w(\"There is no style added to the map.\")}addSource(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)}isSourceLoaded(t){const r=this.style&&this.style.sourceCaches[t];if(void 0!==r)return r.loaded();this.fire(new e.j(new Error(`There is no source with ID '${t}'`)))}setTerrain(t){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),t){const r=this.style.sourceCaches[t.source];if(!r)throw new Error(`cannot load terrain, because there exists no source with ID: ${t.source}`);null===this.terrain&&r.reload();for(const r in this.style._layers){const n=this.style._layers[r];\"hillshade\"===n.type&&n.source===t.source&&e.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Di(this.painter,r,t),this.painter.renderToTexture=new Bi(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=e=>{\"style\"===e.dataType?this.terrain.sourceCache.freeRtt():\"source\"===e.dataType&&e.tile&&(e.sourceId!==t.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(e.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new e.k(\"terrain\",{terrain:t})),this}getTerrain(){var t,e;return null!==(e=null===(t=this.terrain)||void 0===t?void 0:t.options)&&void 0!==e?e:null}areTilesLoaded(){const t=this.style&&this.style.sourceCaches;for(const e in t){const r=t[e]._tiles;for(const t in r){const e=r[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}}return!0}removeSource(t){return this.style.removeSource(t),this._update(!0)}getSource(t){return this.style.getSource(t)}addImage(t,r,n={}){const{pixelRatio:i=1,sdf:o=!1,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h}=n;this._lazyInitEmptyStyle();if(!(r instanceof HTMLImageElement||e.b(r))){if(void 0===r.width||void 0===r.height)return this.fire(new e.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{const{width:n,height:a,data:f}=r,p=r;return this.style.addImage(t,{data:new e.R({width:n,height:a},new Uint8Array(f)),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0,userImage:p}),p.onAdd&&p.onAdd(this,t),this}}{const{width:n,height:f,data:p}=a.getImageData(r);this.style.addImage(t,{data:new e.R({width:n,height:f},p),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0})}}updateImage(t,r){const n=this.style.getImage(t);if(!n)return this.fire(new e.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));const i=r instanceof HTMLImageElement||e.b(r)?a.getImageData(r):r,{width:o,height:s,data:l}=i;if(void 0===o||void 0===s)return this.fire(new e.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(o!==n.data.width||s!==n.data.height)return this.fire(new e.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));const c=!(r instanceof HTMLImageElement||e.b(r));return n.data.replace(l,c),this.style.updateImage(t,n),this}getImage(t){return this.style.getImage(t)}hasImage(t){return t?!!this.style.getImage(t):(this.fire(new e.j(new Error(\"Missing required image id\"))),!1)}removeImage(t){this.style.removeImage(t)}loadImage(t){return p.getImage(this._requestManager.transformRequest(t,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)}moveLayer(t,e){return this.style.moveLayer(t,e),this._update(!0)}removeLayer(t){return this.style.removeLayer(t),this._update(!0)}getLayer(t){return this.style.getLayer(t)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)}setFilter(t,e,r={}){return this.style.setFilter(t,e,r),this._update(!0)}getFilter(t){return this.style.getFilter(t)}setPaintProperty(t,e,r,n={}){return this.style.setPaintProperty(t,e,r,n),this._update(!0)}getPaintProperty(t,e){return this.style.getPaintProperty(t,e)}setLayoutProperty(t,e,r,n={}){return this.style.setLayoutProperty(t,e,r,n),this._update(!0)}getLayoutProperty(t,e){return this.style.getLayoutProperty(t,e)}setGlyphs(t,e={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(t,e),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(t,e,r={}){return this._lazyInitEmptyStyle(),this.style.addSprite(t,e,r,(t=>{t||this._update(!0)})),this}removeSprite(t){return this._lazyInitEmptyStyle(),this.style.removeSprite(t),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(t,e={}){return this._lazyInitEmptyStyle(),this.style.setSprite(t,e,(t=>{t||this._update(!0)})),this}setLight(t,e={}){return this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)}getLight(){return this.style.getLight()}setSky(t){return this._lazyInitEmptyStyle(),this.style.setSky(t),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(t,e){return this.style.setFeatureState(t,e),this._update()}removeFeatureState(t,e){return this.style.removeFeatureState(t,e),this._update()}getFeatureState(t){return this.style.getFeatureState(t)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]}_setupContainer(){const t=this._container;t.classList.add(\"maplibregl-map\");const e=this._canvasContainer=o.create(\"div\",\"maplibregl-canvas-container\",t);this._interactive&&e.classList.add(\"maplibregl-interactive\"),this._canvas=o.create(\"canvas\",\"maplibregl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");const r=this._containerDimensions(),n=this._getClampedPixelRatio(r[0],r[1]);this._resizeCanvas(r[0],r[1],n);const i=this._controlContainer=o.create(\"div\",\"maplibregl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((t=>{a[t]=o.create(\"div\",`maplibregl-ctrl-${t} `,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(t,e,r){this._canvas.width=Math.floor(r*t),this._canvas.height=Math.floor(r*e),this._canvas.style.width=`${t}px`,this._canvas.style.height=`${e}px`}_setupPainter(){const t={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1};let e=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(r=>{e={requestedAttributes:t},r&&(e.statusMessage=r.statusMessage,e.type=r.type)}),{once:!0});const r=this._canvas.getContext(\"webgl2\",t)||this._canvas.getContext(\"webgl\",t);if(!r){const t=\"Failed to initialize WebGL\";throw e?(e.message=t,new Error(JSON.stringify(e))):new Error(t)}this.painter=new Tn(r,this.transform),s.testSupport(r)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(t){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(t){return this._update(),this._renderTaskQueue.add(t)}_cancelRenderFrame(t){this._renderTaskQueue.remove(t)}_render(t){const r=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(t),this._removed)return;let n=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;const t=this.transform.zoom,i=a.now();this.style.zoomHistory.update(t,i);const o=new e.a9(t,{now:i,fadeDuration:r,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),s=o.crossFadingFactor();1===s&&s===this._crossFadingFactor||(n=!0,this._crossFadingFactor=s),this.style.update(o)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,r,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:r,showPadding:this.showPadding}),this.fire(new e.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,e.be.mark(e.bf.load),this.fire(new e.k(\"load\"))),this.style&&(this.style.hasTransitions()||n)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();const i=this._sourcesDirty||this._styleDirty||this._placementDirty;return i||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.k(\"idle\")),!this._loaded||this._fullyLoaded||i||(this._fullyLoaded=!0,e.be.mark(e.bf.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var t;this._hash&&this._hash.remove();for(const t of this._controls)t.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),\"undefined\"!=typeof window&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),null===(t=this._resizeObserver)||void 0===t||t.disconnect();const r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");(null==r?void 0:r.loseContext)&&r.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),o.remove(this._canvasContainer),o.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),e.be.clearMetrics(),this._removed=!0,this.fire(new e.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((t=>{e.be.frame(t),this._frameRequest=null,this._render(t)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())}get showPadding(){return!!this._showPadding}set showPadding(t){this._showPadding!==t&&(this._showPadding=t,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())}get repaint(){return!!this._repaint}set repaint(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(t){this._vertices=t,this._update()}get version(){return ji}getCameraTargetElevation(){return this.transform.elevation}},t.MapMouseEvent=Nn,t.MapTouchEvent=jn,t.MapWheelEvent=Un,t.Marker=Xi,t.NavigationControl=class{constructor(t){this._updateZoomButtons=()=>{const t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},this._rotateCompassArrow=()=>{const t=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=t},this._setButtonTitle=(t,e)=>{const r=this._map._getUIString(`NavigationControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)},this.options=e.e({},qi,t),this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(t=>this._map.zoomIn({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(t=>this._map.zoomOut({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(t=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:t}):this._map.resetNorth({},{originalEvent:t})})),this._compassIcon=o.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(t){return 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t=[\"ERROR:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.error.apply(console,t)}if(o3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);Sq(r.join(\"<br>\"),\"stick\")}}});var p6=ye((rer,Jee)=>{\"use strict\";Jee.exports=function(){}});var Eq=ye((ier,$ee)=>{\"use strict\";$ee.exports=function(t,r){if(r instanceof RegExp){for(var n=r.toString(),i=0;i<t.length;i++)if(t[i]instanceof RegExp&&t[i].toString()===n)return t;t.push(r)}else(r||r===0)&&t.indexOf(r)===-1&&t.push(r);return t}});var ete=ye((ner,Qee)=>{Qee.exports=wet;function wet(){var e=new Float32Array(16);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var rte=ye((aer,tte)=>{tte.exports=Tet;function Tet(e){var t=new Float32Array(16);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}});var nte=ye((oer,ite)=>{ite.exports=Aet;function Aet(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var kq=ye((ser,ate)=>{ate.exports=Met;function Met(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var ste=ye((ler,ote)=>{ote.exports=Eet;function Eet(e,t){if(e===t){var r=t[1],n=t[2],i=t[3],a=t[6],o=t[7],s=t[11];e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=r,e[6]=t[9],e[7]=t[13],e[8]=n,e[9]=a,e[11]=t[14],e[12]=i,e[13]=o,e[14]=s}else e[0]=t[0],e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=t[1],e[5]=t[5],e[6]=t[9],e[7]=t[13],e[8]=t[2],e[9]=t[6],e[10]=t[10],e[11]=t[14],e[12]=t[3],e[13]=t[7],e[14]=t[11],e[15]=t[15];return e}});var ute=ye((uer,lte)=>{lte.exports=ket;function ket(e,t){var r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],x=t[13],b=t[14],g=t[15],E=r*s-n*o,k=r*l-i*o,A=r*u-a*o,L=n*l-i*s,_=n*u-a*s,C=i*u-a*l,M=c*x-f*v,p=c*b-h*v,P=c*g-d*v,T=f*b-h*x,F=f*g-d*x,q=h*g-d*b,V=E*q-k*F+A*T+L*P-_*p+C*M;return V?(V=1/V,e[0]=(s*q-l*F+u*T)*V,e[1]=(i*F-n*q-a*T)*V,e[2]=(x*C-b*_+g*L)*V,e[3]=(h*_-f*C-d*L)*V,e[4]=(l*P-o*q-u*p)*V,e[5]=(r*q-i*P+a*p)*V,e[6]=(b*A-v*C-g*k)*V,e[7]=(c*C-h*A+d*k)*V,e[8]=(o*F-s*P+u*M)*V,e[9]=(n*P-r*F-a*M)*V,e[10]=(v*_-x*A+g*E)*V,e[11]=(f*A-c*_-d*E)*V,e[12]=(s*p-o*T-l*M)*V,e[13]=(r*T-n*p+i*M)*V,e[14]=(x*k-v*L-b*E)*V,e[15]=(c*L-f*k+h*E)*V,e):null}});var fte=ye((cer,cte)=>{cte.exports=Cet;function Cet(e,t){var r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],x=t[13],b=t[14],g=t[15];return e[0]=s*(h*g-d*b)-f*(l*g-u*b)+x*(l*d-u*h),e[1]=-(n*(h*g-d*b)-f*(i*g-a*b)+x*(i*d-a*h)),e[2]=n*(l*g-u*b)-s*(i*g-a*b)+x*(i*u-a*l),e[3]=-(n*(l*d-u*h)-s*(i*d-a*h)+f*(i*u-a*l)),e[4]=-(o*(h*g-d*b)-c*(l*g-u*b)+v*(l*d-u*h)),e[5]=r*(h*g-d*b)-c*(i*g-a*b)+v*(i*d-a*h),e[6]=-(r*(l*g-u*b)-o*(i*g-a*b)+v*(i*u-a*l)),e[7]=r*(l*d-u*h)-o*(i*d-a*h)+c*(i*u-a*l),e[8]=o*(f*g-d*x)-c*(s*g-u*x)+v*(s*d-u*f),e[9]=-(r*(f*g-d*x)-c*(n*g-a*x)+v*(n*d-a*f)),e[10]=r*(s*g-u*x)-o*(n*g-a*x)+v*(n*u-a*s),e[11]=-(r*(s*d-u*f)-o*(n*d-a*f)+c*(n*u-a*s)),e[12]=-(o*(f*b-h*x)-c*(s*b-l*x)+v*(s*h-l*f)),e[13]=r*(f*b-h*x)-c*(n*b-i*x)+v*(n*h-i*f),e[14]=-(r*(s*b-l*x)-o*(n*b-i*x)+v*(n*l-i*s)),e[15]=r*(s*h-l*f)-o*(n*h-i*f)+c*(n*l-i*s),e}});var dte=ye((fer,hte)=>{hte.exports=Let;function Let(e){var t=e[0],r=e[1],n=e[2],i=e[3],a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11],d=e[12],v=e[13],x=e[14],b=e[15],g=t*o-r*a,E=t*s-n*a,k=t*l-i*a,A=r*s-n*o,L=r*l-i*o,_=n*l-i*s,C=u*v-c*d,M=u*x-f*d,p=u*b-h*d,P=c*x-f*v,T=c*b-h*v,F=f*b-h*x;return g*F-E*T+k*P+A*p-L*M+_*C}});var pte=ye((her,vte)=>{vte.exports=Pet;function Pet(e,t,r){var n=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],f=t[8],h=t[9],d=t[10],v=t[11],x=t[12],b=t[13],g=t[14],E=t[15],k=r[0],A=r[1],L=r[2],_=r[3];return e[0]=k*n+A*s+L*f+_*x,e[1]=k*i+A*l+L*h+_*b,e[2]=k*a+A*u+L*d+_*g,e[3]=k*o+A*c+L*v+_*E,k=r[4],A=r[5],L=r[6],_=r[7],e[4]=k*n+A*s+L*f+_*x,e[5]=k*i+A*l+L*h+_*b,e[6]=k*a+A*u+L*d+_*g,e[7]=k*o+A*c+L*v+_*E,k=r[8],A=r[9],L=r[10],_=r[11],e[8]=k*n+A*s+L*f+_*x,e[9]=k*i+A*l+L*h+_*b,e[10]=k*a+A*u+L*d+_*g,e[11]=k*o+A*c+L*v+_*E,k=r[12],A=r[13],L=r[14],_=r[15],e[12]=k*n+A*s+L*f+_*x,e[13]=k*i+A*l+L*h+_*b,e[14]=k*a+A*u+L*d+_*g,e[15]=k*o+A*c+L*v+_*E,e}});var mte=ye((der,gte)=>{gte.exports=Iet;function Iet(e,t,r){var n=r[0],i=r[1],a=r[2],o,s,l,u,c,f,h,d,v,x,b,g;return t===e?(e[12]=t[0]*n+t[4]*i+t[8]*a+t[12],e[13]=t[1]*n+t[5]*i+t[9]*a+t[13],e[14]=t[2]*n+t[6]*i+t[10]*a+t[14],e[15]=t[3]*n+t[7]*i+t[11]*a+t[15]):(o=t[0],s=t[1],l=t[2],u=t[3],c=t[4],f=t[5],h=t[6],d=t[7],v=t[8],x=t[9],b=t[10],g=t[11],e[0]=o,e[1]=s,e[2]=l,e[3]=u,e[4]=c,e[5]=f,e[6]=h,e[7]=d,e[8]=v,e[9]=x,e[10]=b,e[11]=g,e[12]=o*n+c*i+v*a+t[12],e[13]=s*n+f*i+x*a+t[13],e[14]=l*n+h*i+b*a+t[14],e[15]=u*n+d*i+g*a+t[15]),e}});var _te=ye((ver,yte)=>{yte.exports=Ret;function Ret(e,t,r){var n=r[0],i=r[1],a=r[2];return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var bte=ye((per,xte)=>{xte.exports=Det;function Det(e,t,r,n){var i=n[0],a=n[1],o=n[2],s=Math.sqrt(i*i+a*a+o*o),l,u,c,f,h,d,v,x,b,g,E,k,A,L,_,C,M,p,P,T,F,q,V,H;return Math.abs(s)<1e-6?null:(s=1/s,i*=s,a*=s,o*=s,l=Math.sin(r),u=Math.cos(r),c=1-u,f=t[0],h=t[1],d=t[2],v=t[3],x=t[4],b=t[5],g=t[6],E=t[7],k=t[8],A=t[9],L=t[10],_=t[11],C=i*i*c+u,M=a*i*c+o*l,p=o*i*c-a*l,P=i*a*c-o*l,T=a*a*c+u,F=o*a*c+i*l,q=i*o*c+a*l,V=a*o*c-i*l,H=o*o*c+u,e[0]=f*C+x*M+k*p,e[1]=h*C+b*M+A*p,e[2]=d*C+g*M+L*p,e[3]=v*C+E*M+_*p,e[4]=f*P+x*T+k*F,e[5]=h*P+b*T+A*F,e[6]=d*P+g*T+L*F,e[7]=v*P+E*T+_*F,e[8]=f*q+x*V+k*H,e[9]=h*q+b*V+A*H,e[10]=d*q+g*V+L*H,e[11]=v*q+E*V+_*H,t!==e&&(e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e)}});var Tte=ye((ger,wte)=>{wte.exports=zet;function zet(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[4]=a*i+u*n,e[5]=o*i+c*n,e[6]=s*i+f*n,e[7]=l*i+h*n,e[8]=u*i-a*n,e[9]=c*i-o*n,e[10]=f*i-s*n,e[11]=h*i-l*n,e}});var Ste=ye((mer,Ate)=>{Ate.exports=Fet;function Fet(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i-u*n,e[1]=o*i-c*n,e[2]=s*i-f*n,e[3]=l*i-h*n,e[8]=a*n+u*i,e[9]=o*n+c*i,e[10]=s*n+f*i,e[11]=l*n+h*i,e}});var Ete=ye((yer,Mte)=>{Mte.exports=qet;function qet(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[4],c=t[5],f=t[6],h=t[7];return t!==e&&(e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i+u*n,e[1]=o*i+c*n,e[2]=s*i+f*n,e[3]=l*i+h*n,e[4]=u*i-a*n,e[5]=c*i-o*n,e[6]=f*i-s*n,e[7]=h*i-l*n,e}});var Cte=ye((_er,kte)=>{kte.exports=Oet;function Oet(e,t,r){var n,i,a,o=r[0],s=r[1],l=r[2],u=Math.sqrt(o*o+s*s+l*l);return 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d={},v=[],x=(r.template||{}).data||{},b=Ait.traceTemplater(x);for(u=0;u<e.length;u++)f=e[u],c=b.newTrace(f),c.uid=n._traceUids[u],ha.supplyTraceDefaults(f,c,l,n,u),c.index=u,c._input=f,c._fullInput=c,h(c),bl.traceIs(c,\"carpetAxis\")&&(d[c.carpet]=c),bl.traceIs(c,\"carpetDependent\")&&v.push(u);for(u=0;u<v.length;u++)if(c=t[v[u]],!!c.visible){var g=d[c.carpet];if(c._carpet=g,!g||!g.visible){c.visible=!1;continue}c.xaxis=g.xaxis,c.yaxis=g.yaxis}};ha.supplyAnimationDefaults=function(e){e=e||{};var t,r={};function n(i,a){return Ca.coerce(e||{},r,sO,i,a)}if(n(\"mode\"),n(\"direction\"),n(\"fromcurrent\"),Array.isArray(e.frame))for(r.frame=[],t=0;t<e.frame.length;t++)r.frame[t]=ha.supplyAnimationFrameDefaults(e.frame[t]||{});else r.frame=ha.supplyAnimationFrameDefaults(e.frame||{});if(Array.isArray(e.transition))for(r.transition=[],t=0;t<e.transition.length;t++)r.transition[t]=ha.supplyAnimationTransitionDefaults(e.transition[t]||{});else 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u=n(\"uniformtext.mode\");u&&n(\"uniformtext.minsize\"),n(\"autosize\",!(e.width&&e.height)),n(\"width\"),n(\"height\"),n(\"minreducedwidth\"),n(\"minreducedheight\"),n(\"margin.l\"),n(\"margin.r\"),n(\"margin.t\"),n(\"margin.b\"),n(\"margin.pad\"),n(\"margin.autoexpand\"),e.width&&e.height&&ha.sanitizeMargins(t),bl.getComponentMethod(\"grid\",\"sizeDefaults\")(e,t),n(\"paper_bgcolor\"),n(\"separators\",r.decimal+r.thousands),n(\"hidesources\"),n(\"colorway\"),n(\"datarevision\");var 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u=l?window.getComputedStyle(t):{};if(o=G6(u.width)||G6(u.maxWidth)||n.width,s=G6(u.height)||G6(u.maxHeight)||n.height,jS(a)&&a>0){var c=1-2*a;o=Math.round(c*o),s=Math.round(c*s)}}var f=ha.layoutAttributes.width.min,h=ha.layoutAttributes.height.min;o<f&&(o=f),s<h&&(s=h);var d=!r.width&&Math.abs(n.width-o)>1,v=!r.height&&Math.abs(n.height-s)>1;(v||d)&&(d&&(n.width=o),v&&(n.height=s)),t._initialAutoSize||(t._initialAutoSize={width:o,height:s}),ha.sanitizeMargins(n)};ha.supplyLayoutModuleDefaults=function(e,t,r,n){var i=bl.componentsRegistry,a=t._basePlotModules,o,s,l,u=bl.subplotsRegistry.cartesian;for(o in i)l=i[o],l.includeBasePlot&&l.includeBasePlot(e,t);a.length||a.push(u),t._has(\"cartesian\")&&(bl.getComponentMethod(\"grid\",\"contentDefaults\")(e,t),u.finalizeSubplots(e,t));for(var c in t._subplots)t._subplots[c].sort(Ca.subplotSort);for(s=0;s<a.length;s++)l=a[s],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r);var f=t._modules;for(s=0;s<f.length;s++)l=f[s],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r);var h=t._transformModules;for(s=0;s<h.length;s++)l=h[s],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r,n);for(o in i)l=i[o],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r)};ha.purge=function(e){var t=e._fullLayout||{};t._glcontainer!==void 0&&(t._glcontainer.selectAll(\".gl-canvas\").remove(),t._glcontainer.remove(),t._glcanvas=null),t._modeBar&&t._modeBar.destroy(),e._transitionData&&(e._transitionData._interruptCallbacks&&(e._transitionData._interruptCallbacks.length=0),e._transitionData._animationRaf&&window.cancelAnimationFrame(e._transitionData._animationRaf)),Ca.clearThrottle(),Ca.clearResponsive(e),delete e.data,delete e.layout,delete e._fullData,delete e._fullLayout,delete e.calcdata,delete e.empty,delete e.fid,delete e.undoqueue,delete e.undonum,delete e.autoplay,delete e.changed,delete e._promises,delete e._redrawTimer,delete e._hmlumcount,delete e._hmpixcount,delete e._transitionData,delete e._transitioning,delete e._initialAutoSize,delete e._transitioningWithDuration,delete e._dragging,delete e._dragged,delete e._dragdata,delete e._hoverdata,delete e._snapshotInProgress,delete e._editing,delete e._mouseDownTime,delete e._legendMouseDownTime,e.removeAllListeners&&e.removeAllListeners()};ha.style=function(e){var t=e._fullLayout._visibleModules,r=[],n;for(n=0;n<t.length;n++){var i=t[n];i.style&&Ca.pushUnique(r,i.style)}for(n=0;n<r.length;n++)r[n](e)};ha.sanitizeMargins=function(e){if(!(!e||!e.margin)){var t=e.width,r=e.height,n=e.margin,i=t-(n.l+n.r),a=r-(n.t+n.b),o;i<0&&(o=(t-1)/(n.l+n.r),n.l=Math.floor(o*n.l),n.r=Math.floor(o*n.r)),a<0&&(o=(r-1)/(n.t+n.b),n.t=Math.floor(o*n.t),n.b=Math.floor(o*n.b))}};ha.clearAutoMarginIds=function(e){e._fullLayout._pushmarginIds={}};ha.allowAutoMargin=function(e,t){e._fullLayout._pushmarginIds[t]=1};function Cne(e){var t=e.margin;if(!e._size){var 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ha.doAutoMargin(e)}};function qit(e){if(\"_redrawFromAutoMarginCount\"in e._fullLayout)return!1;var t=Ap.list(e,\"\",!0);for(var r in t)if(t[r].autoshift||t[r].shift)return!0;return!1}ha.doAutoMargin=function(e){var t=e._fullLayout,r=t.width,n=t.height;t._size||(t._size={}),Cne(t);var i=t._size,a=t.margin,o={t:0,b:0,l:0,r:0},s=Ca.extendFlat({},i),l=a.l,u=a.r,c=a.t,f=a.b,h=t._pushmargin,d=t._pushmarginIds,v=t.minreducedwidth,x=t.minreducedheight;if(a.autoexpand!==!1){for(var b in h)d[b]||delete h[b];var g=e._fullLayout._reservedMargin;for(var E in g)for(var k in g[E]){var A=g[E][k];o[k]=Math.max(o[k],A)}h.base={l:{val:0,size:l},r:{val:1,size:u},t:{val:1,size:c},b:{val:0,size:f}};for(var L in o){var _=0;for(var C in h)C!==\"base\"&&jS(h[C][L].size)&&(_=h[C][L].size>_?h[C][L].size:_);var M=Math.max(0,a[L]-_);o[L]=Math.max(0,o[L]-M)}for(var p in h){var P=h[p].l||{},T=h[p].b||{},F=P.val,q=P.size,V=T.val,H=T.size,X=r-o.r-o.l,G=n-o.t-o.b;for(var N in h){if(jS(q)&&h[N].r){var 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T=[i||\"noSh\",u||\"noBg\",c||\"noFg\",a,o].join(\";\"),F=d._defs.select(\".patterns\").selectAll(\"#\"+v).data([T],du.identity);F.exit().remove(),F.enter().append(\"pattern\").each(function(){var q=od.select(this);if(q.attr({id:v,width:x+\"px\",height:b+\"px\",patternUnits:\"userSpaceOnUse\",patternTransform:h?\"scale(0.8)\":\"\"}),u){var V=qO(u),H=Xd.tinyRGB(V),X=V.getAlpha(),G=q.selectAll(\"rect\").data([0]);G.exit().remove(),G.enter().append(\"rect\").attr({width:x+\"px\",height:b+\"px\",fill:H,\"fill-opacity\":X})}var N=q.selectAll(L).data([0]);N.exit().remove(),N.enter().append(L).attr(_)}),e.style(\"fill\",OO(v,r)).style(\"fill-opacity\",null),e.classed(\"pattern_filled\",!0)};na.initGradients=function(e){var t=e._fullLayout,r=du.ensureSingle(t._defs,\"g\",\"gradients\");r.selectAll(\"linearGradient,radialGradient\").remove(),od.select(e).selectAll(\".gradient_filled\").classed(\"gradient_filled\",!1)};na.initPatterns=function(e){var t=e._fullLayout,r=du.ensureSingle(t._defs,\"g\",\"patterns\");r.selectAll(\"pattern\").remove(),od.select(e).selectAll(\".pattern_filled\").classed(\"pattern_filled\",!1)};na.getPatternAttr=function(e,t,r){return e&&du.isArrayOrTypedArray(e)?t<e.length?e[t]:r:e};na.pointStyle=function(e,t,r,n){if(e.size()){var i=na.makePointStyleFns(t);e.each(function(a){na.singlePointStyle(a,od.select(this),t,i,r,n)})}};na.singlePointStyle=function(e,t,r,n,i,a){var o=r.marker,s=o.line;if(a&&a.i>=0&&e.i===void 0&&(e.i=a.i),t.style(\"opacity\",n.selectedOpacityFn?n.selectedOpacityFn(e):e.mo===void 0?o.opacity:e.mo),n.ms2mrc){var l;e.ms===\"various\"||o.size===\"various\"?l=3:l=n.ms2mrc(e.ms),e.mrc=l,n.selectedSizeFn&&(l=e.mrc=n.selectedSizeFn(e));var u=na.symbolNumber(e.mx||o.symbol)||0;e.om=u%200>=100;var c=NO(e,r),f=BO(e,r);t.attr(\"d\",boe(u,l,c,f))}var h=!1,d,v,x;if(e.so)x=s.outlierwidth,v=s.outliercolor,d=o.outliercolor;else{var b=(s||{}).width;x=(e.mlw+1||b+1||(e.trace?(e.trace.marker.line||{}).width:0)+1)-1||0,\"mlc\"in e?v=e.mlcc=n.lineScale(e.mlc):du.isArrayOrTypedArray(s.color)?v=Xd.defaultLine:v=s.color,du.isArrayOrTypedArray(o.color)&&(d=Xd.defaultLine,h=!0),\"mc\"in e?d=e.mcc=n.markerScale(e.mc):d=o.color||o.colors||\"rgba(0,0,0,0)\",n.selectedColorFn&&(d=n.selectedColorFn(e))}if(e.om)t.call(Xd.stroke,d).style({\"stroke-width\":(x||1)+\"px\",fill:\"none\"});else{t.style(\"stroke-width\",(e.isBlank?0:x)+\"px\");var g=o.gradient,E=e.mgt;E?h=!0:E=g&&g.type,du.isArrayOrTypedArray(E)&&(E=E[0],woe[E]||(E=0));var k=o.pattern,A=k&&na.getPatternAttr(k.shape,e.i,\"\");if(E&&E!==\"none\"){var L=e.mgc;L?h=!0:L=g.color;var _=r.uid;h&&(_+=\"-\"+e.i),na.gradient(t,i,_,E,[[0,L],[1,d]],\"fill\")}else if(A){var C=!1,M=k.fgcolor;!M&&a&&a.color&&(M=a.color,C=!0);var p=na.getPatternAttr(M,e.i,a&&a.color||null),P=na.getPatternAttr(k.bgcolor,e.i,null),T=k.fgopacity,F=na.getPatternAttr(k.size,e.i,8),q=na.getPatternAttr(k.solidity,e.i,.3);C=C||e.mcc||du.isArrayOrTypedArray(k.shape)||du.isArrayOrTypedArray(k.bgcolor)||du.isArrayOrTypedArray(k.fgcolor)||du.isArrayOrTypedArray(k.size)||du.isArrayOrTypedArray(k.solidity);var V=r.uid;C&&(V+=\"-\"+e.i),na.pattern(t,\"point\",i,V,A,F,q,e.mcc,k.fillmode,P,p,T)}else du.isArrayOrTypedArray(d)?Xd.fill(t,d[e.i]):Xd.fill(t,d);x&&Xd.stroke(t,v)}};na.makePointStyleFns=function(e){var t={},r=e.marker;return t.markerScale=na.tryColorscale(r,\"\"),t.lineScale=na.tryColorscale(r,\"line\"),eL.traceIs(e,\"symbols\")&&(t.ms2mrc=lat.isBubble(e)?uat(e):function(){return(r.size||6)/2}),e.selectedpoints&&du.extendFlat(t,na.makeSelectedPointStyleFns(e)),t};na.makeSelectedPointStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.marker||{},a=r.marker||{},o=n.marker||{},s=i.opacity,l=a.opacity,u=o.opacity,c=l!==void 0,f=u!==void 0;(du.isArrayOrTypedArray(s)||c||f)&&(t.selectedOpacityFn=function(A){var L=A.mo===void 0?i.opacity:A.mo;return A.selected?c?l:L:f?u:_oe*L});var h=i.color,d=a.color,v=o.color;(d||v)&&(t.selectedColorFn=function(A){var L=A.mcc||h;return A.selected?d||L:v||L});var x=i.size,b=a.size,g=o.size,E=b!==void 0,k=g!==void 0;return eL.traceIs(e,\"symbols\")&&(E||k)&&(t.selectedSizeFn=function(A){var L=A.mrc||x/2;return A.selected?E?b/2:L:k?g/2:L}),t};na.makeSelectedTextStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.textfont||{},a=r.textfont||{},o=n.textfont||{},s=i.color,l=a.color,u=o.color;return t.selectedTextColorFn=function(c){var f=c.tc||s;return c.selected?l||f:u||(l?f:Xd.addOpacity(f,_oe))},t};na.selectedPointStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=na.makeSelectedPointStyleFns(t),n=t.marker||{},i=[];r.selectedOpacityFn&&i.push(function(a,o){a.style(\"opacity\",r.selectedOpacityFn(o))}),r.selectedColorFn&&i.push(function(a,o){Xd.fill(a,r.selectedColorFn(o))}),r.selectedSizeFn&&i.push(function(a,o){var s=o.mx||n.symbol||0,l=r.selectedSizeFn(o);a.attr(\"d\",boe(na.symbolNumber(s),l,NO(o,t),BO(o,t))),o.mrc2=l}),i.length&&e.each(function(a){for(var o=od.select(this),s=0;s<i.length;s++)i[s](o,a)})}};na.tryColorscale=function(e,t){var r=t?du.nestedProperty(e,t).get():e;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&du.isArrayOrTypedArray(n))return nat.makeColorScaleFuncFromTrace(r)}return du.identity};var RO={start:1,end:-1,middle:0,bottom:1,top:-1};function Aoe(e,t,r,n,i){var a=od.select(e.node().parentNode),o=t.indexOf(\"top\")!==-1?\"top\":t.indexOf(\"bottom\")!==-1?\"bottom\":\"middle\",s=t.indexOf(\"left\")!==-1?\"end\":t.indexOf(\"right\")!==-1?\"start\":\"middle\",l=n?n/.8+1:0,u=(tL.lineCount(e)-1)*sat+1,c=RO[s]*l,f=r*.75+RO[o]*l+(RO[o]-1)*u*r/2;e.attr(\"text-anchor\",s),i||a.attr(\"transform\",KS(c,f))}function Soe(e,t){var r=e.ts||t.textfont.size;return Ab(r)&&r>0?r:0}na.textPointStyle=function(e,t,r){if(e.size()){var n;if(t.selectedpoints){var i=na.makeSelectedTextStyleFns(t);n=i.selectedTextColorFn}var a=t.texttemplate,o=r._fullLayout;e.each(function(s){var l=od.select(this),u=a?du.extractOption(s,t,\"txt\",\"texttemplate\"):du.extractOption(s,t,\"tx\",\"text\");if(!u&&u!==0){l.remove();return}if(a){var c=t._module.formatLabels,f=c?c(s,t,o):{},h={};cat(h,t,s.i);var d=t._meta||{};u=du.texttemplateString(u,f,o._d3locale,h,s,d)}var v=s.tp||t.textposition,x=Soe(s,t),b=n?n(s):s.tc||t.textfont.color;l.call(na.font,{family:s.tf||t.textfont.family,weight:s.tw||t.textfont.weight,style:s.ty||t.textfont.style,variant:s.tv||t.textfont.variant,textcase:s.tC||t.textfont.textcase,lineposition:s.tE||t.textfont.lineposition,shadow:s.tS||t.textfont.shadow,size:x,color:b}).text(u).call(tL.convertToTspans,r).call(Aoe,v,x,s.mrc)})}};na.selectedTextStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=na.makeSelectedTextStyleFns(t);e.each(function(n){var i=od.select(this),a=r.selectedTextColorFn(n),o=n.tp||t.textposition,s=Soe(n,t);Xd.fill(i,a);var l=eL.traceIs(t,\"bar-like\");Aoe(i,o,s,n.mrc2||n.mrc,l)})}};var hoe=.5;na.smoothopen=function(e,t){if(e.length<3)return\"M\"+e.join(\"L\");var r=\"M\"+e[0],n=[],i;for(i=1;i<e.length-1;i++)n.push(Q6(e[i-1],e[i],e[i+1],t));for(r+=\"Q\"+n[0][0]+\" \"+e[1],i=2;i<e.length-1;i++)r+=\"C\"+n[i-2][1]+\" \"+n[i-1][0]+\" \"+e[i];return r+=\"Q\"+n[e.length-3][1]+\" 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gat={hv:function(e,t,r){return\"H\"+wb(t[0])+\"V\"+M3(t,1,r)},vh:function(e,t,r){return\"V\"+Tb(t[1])+\"H\"+M3(t,0,r)},hvh:function(e,t,r){return\"H\"+wb((e[0]+t[0])/2)+\"V\"+Tb(t[1])+\"H\"+M3(t,0,r)},vhv:function(e,t,r){return\"V\"+Tb((e[1]+t[1])/2)+\"H\"+wb(t[0])+\"V\"+M3(t,1,r)}},mat=function(e,t,r){return\"L\"+M3(t,0,r)+\",\"+M3(t,1,r)};na.steps=function(e){var t=gat[e]||mat;return function(r){for(var n=\"M\"+wb(r[0][0])+\",\"+Tb(r[0][1]),i=r.length,a=1;a<i;a++)n+=t(r[a-1],r[a],a===i-1);return n}};function koe(e,t){var r=e.backoff,n=e.trace,i=e.d,a=e.i;if(r&&n&&n.marker&&n.marker.angle%360===0&&n.line&&n.line.shape!==\"spline\"){var o=du.isArrayOrTypedArray(r),s=e,l=t?t[0]:Moe||0,u=t?t[1]:Eoe||0,c=s[0],f=s[1],h=c-l,d=f-u,v=Math.atan2(d,h),x=o?r[a]:r;if(x===\"auto\"){var b=s.i;n.type===\"scatter\"&&b--;var g=s.marker,E=g.symbol;du.isArrayOrTypedArray(E)&&(E=E[b]);var k=g.size;du.isArrayOrTypedArray(k)&&(k=k[b]),x=g?na.symbolBackOffs[na.symbolNumber(E)]*k:0,x+=na.getMarkerStandoff(i[b],n)||0}var A=c-x*Math.cos(v),L=f-x*Math.sin(v);(A<=c&&A>=l||A>=c&&A<=l)&&(L<=f&&L>=u||L>=f&&L<=u)&&(e=[A,L])}return e}na.applyBackoff=koe;na.makeTester=function(){var e=du.ensureSingleById(od.select(\"body\"),\"svg\",\"js-plotly-tester\",function(r){r.attr(aat.svgAttrs).style({position:\"absolute\",left:\"-10000px\",top:\"-10000px\",width:\"9000px\",height:\"9000px\",\"z-index\":\"1\"})}),t=du.ensureSingle(e,\"path\",\"js-reference-point\",function(r){r.attr(\"d\",\"M0,0H1V1H0Z\").style({\"stroke-width\":0,fill:\"black\"})});na.tester=e,na.testref=t};na.savedBBoxes={};var DO=0,yat=1e4;na.bBox=function(e,t,r){r||(r=doe(e));var n;if(r){if(n=na.savedBBoxes[r],n)return du.extendFlat({},n)}else if(e.childNodes.length===1){var i=e.childNodes[0];if(r=doe(i),r){var a=+i.getAttribute(\"x\")||0,o=+i.getAttribute(\"y\")||0,s=i.getAttribute(\"transform\");if(!s){var 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C=sB(u),M=C[0],p=C[1],P=ph(_.dtick),T=n===\"log\"&&!(P||_.dtick.charAt(0)===\"L\"),F=kn.tickFirst(_,r);if(A){if(t._tmin=F,F<M!==c)break;(n===\"category\"||n===\"multicategory\")&&(p=c?Math.max(-.5,p):Math.min(t._categories.length-.5,p))}var q=null,V=F,H;if(A){var X;P?X=t.dtick:n===\"date\"?typeof t.dtick==\"string\"&&t.dtick.charAt(0)===\"M\"&&(X=R3*t.dtick.substring(1)):X=t._roughDTick,H=Math.round((t.r2l(V)-t.r2l(t.tick0))/X)-1}var G=_.dtick;for(_.rangebreaks&&_._tick0Init!==_.tick0&&(V=QO(V,t),c||(V=kn.tickIncrement(V,G,!c,i))),A&&o&&(V=kn.tickIncrement(V,G,!c,i),H--);c?V>=p:V<=p;V=kn.tickIncrement(V,G,c,i)){if(A&&H++,_.rangebreaks&&!c){if(V<M)continue;if(_.maskBreaks(V)===TL&&QO(V,_)>=h)break}if(b.length>d||V===q)break;q=V;var N={value:V};A?(T&&V!==(V|0)&&(N.simpleLabel=!0),a>1&&H%a&&(N.skipLabel=!0),b.push(N)):(N.minor=!0,g.push(N))}}if(!g||g.length<2)l=!1;else{var W=(g[1].value-g[0].value)*(s?-1:1);Oot(W,t.tickformat)||(l=!1)}if(!l)E=b;else{var re=b.concat(g);o&&b.length&&(re=re.slice(1)),re=re.sort(function(Rt,kt){return Rt.value-kt.value}).filter(function(Rt,kt,Ct){return kt===0||Rt.value!==Ct[kt-1].value});var ae=re.map(function(Rt,kt){return Rt.minor===void 0&&!Rt.skipLabel?kt:null}).filter(function(Rt){return Rt!==null});ae.forEach(function(Rt){l.map(function(kt){var Ct=Rt+kt;Ct>=0&&Ct<re.length&&Vo.pushUnique(E,re[Ct])})})}if(k){var _e=t.minor.ticks===\"inside\"&&t.ticks===\"outside\"||t.minor.ticks===\"outside\"&&t.ticks===\"inside\";if(!_e){for(var Me=b.map(function(Rt){return Rt.value}),ke=[],ge=0;ge<g.length;ge++){var ie=g[ge],Te=ie.value;if(Me.indexOf(Te)===-1){for(var Ee=!1,Ae=0;!Ee&&Ae<b.length;Ae++)1e7+b[Ae].value===1e7+Te&&(Ee=!0);Ee||ke.push(ie)}}g=ke}}o&&dot(E,t,t._definedDelta);var ze;if(t.rangebreaks){var Ce=t._id.charAt(0)===\"y\",me=1;t.tickmode===\"auto\"&&(me=t.tickfont?t.tickfont.size:12);var Re=NaN;for(ze=b.length-1;ze>-1;ze--){if(b[ze].drop){b.splice(ze,1);continue}b[ze].value=QO(b[ze].value,t);var 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i=t.l2p(t._vals[n].x),a=e.p2l(i),o=kn.tickText(e,a);t._vals[n].minor&&(o.minor=!0,o.text=\"\"),r.push(o)}}return r=cse(e,r),r}function ise(e,t){var r=Vo.simpleMap(e.range,e.r2l),n=sB(r),i=Math.min(n[0],n[1]),a=Math.max(n[0],n[1]),o=e.type===\"category\"?e.d2l_noadd:e.d2l;e.type===\"log\"&&String(e.dtick).charAt(0)!==\"L\"&&(e.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(e.range[0],e.range[1]))-1));for(var s=[],l=0;l<=1;l++)if(!(t!==void 0&&(t&&l||t===!1&&!l))&&!(l&&!e.minor)){var u=l?e.minor.tickvals:e.tickvals,c=l?[]:e.ticktext;if(u){Vo.isArrayOrTypedArray(c)||(c=[]);for(var f=0;f<u.length;f++){var h=o(u[f]);if(h>i&&h<a){var d=kn.tickText(e,h,!1,String(c[f]));l&&(d.minor=!0,d.text=\"\"),s.push(d)}}}}return s=cse(e,s),s}var vL=[2,5,10],nse=[1,2,3,6,12],ase=[1,2,5,10,15,30],pot=[1,2,3,7,14],fse=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],hse=[-.301,0,.301,.699,1],got=[15,30,45,90,180];function _m(e,t,r){return t*Vo.roundUp(e/t,r)}kn.autoTicks=function(e,t,r){var n;function 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e.type===\"category\"||e.type===\"multicategory\"?(e.tick0=0,e.dtick=Math.ceil(Math.max(t,1))):cB(e)?(e.tick0=0,n=1,e.dtick=_m(t,n,got)):(e.tick0=0,n=i(10),e.dtick=_m(t,n,vL));if(e.dtick===0&&(e.dtick=1),!ph(e.dtick)&&typeof e.dtick!=\"string\"){var c=e.dtick;throw e.dtick=1,\"ax.dtick error: \"+String(c)}};function dse(e){var t=e.dtick;if(e._tickexponent=0,!ph(t)&&typeof t!=\"string\"&&(t=1),(e.type===\"category\"||e.type===\"multicategory\")&&(e._tickround=null),e.type===\"date\"){var r=e.r2l(e.tick0),n=e.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(String(t).charAt(0)===\"M\")i>10||n.substr(5)!==\"01-01\"?e._tickround=\"d\":e._tickround=+t.substr(1)%12===0?\"y\":\"m\";else if(t>=Fv&&i<=10||t>=Fv*15)e._tickround=\"d\";else if(t>=tM&&i<=16||t>=xm)e._tickround=\"M\";else if(t>=xL&&i<=19||t>=tM)e._tickround=\"S\";else{var a=e.l2r(r+t).replace(/^-/,\"\").length;e._tickround=Math.max(i,a)-20,e._tickround<0&&(e._tickround=4)}}else if(ph(t)||t.charAt(0)===\"L\"){var o=e.range.map(e.r2d||Number);ph(t)||(t=Number(t.substr(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var s=Math.max(Math.abs(o[0]),Math.abs(o[1])),l=Math.floor(Math.log(s)/Math.LN10+.01),u=e.minexponent===void 0?3:e.minexponent;Math.abs(l)>u&&(wL(e.exponentformat)&&!lB(l)?e._tickexponent=3*Math.round((l-1)/3):e._tickexponent=l)}else e._tickround=null}kn.tickIncrement=function(e,t,r,n){var i=r?-1:1;if(ph(t))return Vo.increment(e,i*t);var a=t.charAt(0),o=i*Number(t.substr(1));if(a===\"M\")return Vo.incrementMonth(e,o,n);if(a===\"L\")return Math.log(Math.pow(10,e)+o)/Math.LN10;if(a===\"D\"){var s=t===\"D2\"?hse:fse,l=e+i*.01,u=Vo.roundUp(Vo.mod(l,1),s,r);return Math.floor(l)+Math.log(w0.round(Math.pow(10,u),1))/Math.LN10}throw\"unrecognized dtick \"+String(t)};kn.tickFirst=function(e,t){var r=e.r2l||Number,n=Vo.simpleMap(e.range,r,void 0,void 0,t),i=n[1]<n[0],a=i?Math.floor:Math.ceil,o=sB(n)[0],s=e.dtick,l=r(e.tick0);if(ph(s)){var u=a((o-l)/s)*s+l;return(e.type===\"category\"||e.type===\"multicategory\")&&(u=Vo.constrain(u,0,e._categories.length-1)),u}var c=s.charAt(0),f=Number(s.substr(1));if(c===\"M\"){for(var h=0,d=l,v,x,b;h<10;){if(v=kn.tickIncrement(d,s,i,e.calendar),(v-o)*(d-o)<=0)return i?Math.min(d,v):Math.max(d,v);x=(o-(d+v)/2)/(v-d),b=c+(Math.abs(Math.round(x))||1)*f,d=kn.tickIncrement(d,b,x<0?!i:i,e.calendar),h++}return Vo.error(\"tickFirst did not converge\",e),d}else{if(c===\"L\")return Math.log(a((Math.pow(10,o)-l)/f)*f+l)/Math.LN10;if(c===\"D\"){var g=s===\"D2\"?hse:fse,E=Vo.roundUp(Vo.mod(o,1),g,i);return Math.floor(o)+Math.log(w0.round(Math.pow(10,E),1))/Math.LN10}else throw\"unrecognized dtick \"+String(s)}};kn.tickText=function(e,t,r,n){var i=vse(e,t),a=e.tickmode===\"array\",o=r||a,s=e.type,l=s===\"category\"?e.d2l_noadd:e.d2l,u,c=function(b){var g=e.l2p(b);return g>=0&&g<=e._length?b:null};if(a&&Vo.isArrayOrTypedArray(e.ticktext)){var f=Vo.simpleMap(e.range,e.r2l),h=(Math.abs(f[1]-f[0])-(e._lBreaks||0))/1e4;for(u=0;u<e.ticktext.length&&!(Math.abs(t-l(e.tickvals[u]))<h);u++);if(u<e.ticktext.length)return i.text=String(e.ticktext[u]),i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)],i}function d(b){if(b===void 0)return!0;if(r)return b===\"none\";var g={first:e._tmin,last:e._tmax}[b];return b!==\"all\"&&t!==g}var v=r?\"never\":e.exponentformat!==\"none\"&&d(e.showexponent)?\"hide\":\"\";if(s===\"date\"?mot(e,i,r,o):s===\"log\"?yot(e,i,r,o,v):s===\"category\"?_ot(e,i):s===\"multicategory\"?xot(e,i,r):cB(e)?wot(e,i,r,o,v):bot(e,i,r,o,v),n||(e.tickprefix&&!d(e.showtickprefix)&&(i.text=e.tickprefix+i.text),e.ticksuffix&&!d(e.showticksuffix)&&(i.text+=e.ticksuffix)),e.labelalias&&e.labelalias.hasOwnProperty(i.text)){var x=e.labelalias[i.text];typeof x==\"string\"&&(i.text=x)}return(e.tickson===\"boundaries\"||e.showdividers)&&(i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)]),i};kn.hoverLabelText=function(e,t,r){r&&(e=Vo.extendFlat({},e,{hoverformat:r}));var n=Vo.isArrayOrTypedArray(t)?t[0]:t,i=Vo.isArrayOrTypedArray(t)?t[1]:void 0;if(i!==void 0&&i!==n)return kn.hoverLabelText(e,n,r)+\" - \"+kn.hoverLabelText(e,i,r);var a=e.type===\"log\"&&n<=0,o=kn.tickText(e,e.c2l(a?-n:n),\"hover\").text;return a?n===0?\"0\":kb+o:o};function vse(e,t,r){var n=e.tickfont||{};return{x:t,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}function mot(e,t,r,n){var i=e._tickround,a=r&&e.hoverformat||kn.getTickFormat(e);n=!a&&n,n&&(ph(i)?i=4:i={y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var o=Vo.formatDate(t.x,a,i,e._dateFormat,e.calendar,e._extraFormat),s,l=o.indexOf(`\n",
+       "`);if(l!==-1&&(s=o.substr(l+1),o=o.substr(0,l)),n&&(s!==void 0&&(o===\"00:00:00\"||o===\"00:00\")?(o=s,s=\"\"):o.length===8&&(o=o.replace(/:00$/,\"\"))),s)if(r)i===\"d\"?o+=\", \"+s:o=s+(o?\", \"+o:\"\");else if(!e._inCalcTicks||e._prevDateHead!==s)e._prevDateHead=s,o+=\"<br>\"+s;else{var u=nM(e),c=e._trueSide||e.side;(!u&&c===\"top\"||u&&c===\"bottom\")&&(o+=\"<br> \")}t.text=o}function yot(e,t,r,n,i){var a=e.dtick,o=t.x,s=e.tickformat,l=typeof a==\"string\"&&a.charAt(0);if(i===\"never\"&&(i=\"\"),n&&l!==\"L\"&&(a=\"L3\",l=\"L\"),s||l===\"L\")t.text=iM(Math.pow(10,o),e,i,n);else if(ph(a)||l===\"D\"&&Vo.mod(o+.01,1)<.1){var u=Math.round(o),c=Math.abs(u),f=e.exponentformat;f===\"power\"||wL(f)&&lB(u)?(u===0?t.text=1:u===1?t.text=\"10\":t.text=\"10<sup>\"+(u>1?\"\":kb)+c+\"</sup>\",t.fontSize*=1.25):(f===\"e\"||f===\"E\")&&c>2?t.text=\"1\"+f+(u>0?\"+\":kb)+c:(t.text=iM(Math.pow(10,o),e,\"\",\"fakehover\"),a===\"D1\"&&e._id.charAt(0)===\"y\"&&(t.dy-=t.fontSize/6))}else if(l===\"D\")t.text=String(Math.round(Math.pow(10,Vo.mod(o,1)))),t.fontSize*=.75;else throw\"unrecognized dtick \"+String(a);if(e.dtick===\"D1\"){var h=String(t.text).charAt(0);(h===\"0\"||h===\"1\")&&(e._id.charAt(0)===\"y\"?t.dx-=t.fontSize/4:(t.dy+=t.fontSize/2,t.dx+=(e.range[1]>e.range[0]?1:-1)*t.fontSize*(o<0?.5:.25)))}}function _ot(e,t){var r=e._categories[Math.round(t.x)];r===void 0&&(r=\"\"),t.text=String(r)}function xot(e,t,r){var n=Math.round(t.x),i=e._categories[n]||[],a=i[1]===void 0?\"\":String(i[1]),o=i[0]===void 0?\"\":String(i[0]);r?t.text=o+\" - \"+a:(t.text=a,t.text2=o)}function bot(e,t,r,n,i){i===\"never\"?i=\"\":e.showexponent===\"all\"&&Math.abs(t.x/e.dtick)<1e-6&&(i=\"hide\"),t.text=iM(t.x,e,i,n)}function wot(e,t,r,n,i){if(e.thetaunit===\"radians\"&&!r){var a=t.x/180;if(a===0)t.text=\"0\";else{var o=Tot(a);if(o[1]>=100)t.text=iM(Vo.deg2rad(t.x),e,i,n);else{var s=t.x<0;o[1]===1?o[0]===1?t.text=\"\\u03C0\":t.text=o[0]+\"\\u03C0\":t.text=[\"<sup>\",o[0],\"</sup>\",\"\\u2044\",\"<sub>\",o[1],\"</sub>\",\"\\u03C0\"].join(\"\"),s&&(t.text=kb+t.text)}}}else t.text=iM(t.x,e,i,n)}function Tot(e){function t(s,l){return Math.abs(s-l)<=1e-6}function r(s,l){return t(l,0)?s:r(l,s%l)}function n(s){for(var l=1;!t(Math.round(s*l)/l,s);)l*=10;return l}var i=n(e),a=e*i,o=Math.abs(r(a,i));return[Math.round(a/o),Math.round(i/o)]}var Aot=[\"f\",\"p\",\"n\",\"\\u03BC\",\"m\",\"\",\"k\",\"M\",\"G\",\"T\"];function wL(e){return e===\"SI\"||e===\"B\"}function lB(e){return e>14||e<-15}function iM(e,t,r,n){var i=e<0,a=t._tickround,o=r||t.exponentformat||\"B\",s=t._tickexponent,l=kn.getTickFormat(t),u=t.separatethousands;if(n){var c={exponentformat:o,minexponent:t.minexponent,dtick:t.showexponent===\"none\"?t.dtick:ph(e)&&Math.abs(e)||1,range:t.showexponent===\"none\"?t.range.map(t.r2d):[0,e||1]};dse(c),a=(Number(c._tickround)||0)+4,s=c._tickexponent,t.hoverformat&&(l=t.hoverformat)}if(l)return t._numFormat(l)(e).replace(/-/g,kb);var f=Math.pow(10,-a)/2;if(o===\"none\"&&(s=0),e=Math.abs(e),e<f)e=\"0\",i=!1;else{if(e+=f,s&&(e*=Math.pow(10,-s),a+=s),a===0)e=String(Math.floor(e));else if(a<0){e=String(Math.round(e)),e=e.substr(0,e.length+a);for(var h=a;h<0;h++)e+=\"0\"}else{e=String(e);var d=e.indexOf(\".\")+1;d&&(e=e.substr(0,d+a).replace(/\\.?0+$/,\"\"))}e=Vo.numSeparate(e,t._separators,u)}if(s&&o!==\"hide\"){wL(o)&&lB(s)&&(o=\"power\");var v;s<0?v=kb+-s:o!==\"power\"?v=\"+\"+s:v=String(s),o===\"e\"||o===\"E\"?e+=o+v:o===\"power\"?e+=\"\\xD710<sup>\"+v+\"</sup>\":o===\"B\"&&s===9?e+=\"B\":wL(o)&&(e+=Aot[s/3+5])}return i?kb+e:e}kn.getTickFormat=function(e){var t;function r(l){return typeof l!=\"string\"?l:Number(l.replace(\"M\",\"\"))*R3}function n(l,u){var c=[\"L\",\"D\"];if(typeof l==typeof u){if(typeof l==\"number\")return l-u;var f=c.indexOf(l.charAt(0)),h=c.indexOf(u.charAt(0));return f===h?Number(l.replace(/(L|D)/g,\"\"))-Number(u.replace(/(L|D)/g,\"\")):f-h}else return typeof l==\"number\"?1:-1}function i(l,u,c){var f=c||function(v){return v},h=u[0],d=u[1];return(!h&&typeof h!=\"number\"||f(h)<=f(l))&&(!d&&typeof d!=\"number\"||f(d)>=f(l))}function a(l,u){var c=u[0]===null,f=u[1]===null,h=n(l,u[0])>=0,d=n(l,u[1])<=0;return(c||h)&&(f||d)}var o,s;if(e.tickformatstops&&e.tickformatstops.length>0)switch(e.type){case\"date\":case\"linear\":{for(t=0;t<e.tickformatstops.length;t++)if(s=e.tickformatstops[t],s.enabled&&i(e.dtick,s.dtickrange,r)){o=s;break}break}case\"log\":{for(t=0;t<e.tickformatstops.length;t++)if(s=e.tickformatstops[t],s.enabled&&a(e.dtick,s.dtickrange)){o=s;break}break}default:}return o?o.value:e.tickformat};kn.getSubplots=function(e,t){var r=e._fullLayout._subplots,n=r.cartesian.concat(r.gl2d||[]),i=t?kn.findSubplotsWithAxis(n,t):n;return i.sort(function(a,o){var s=a.substr(1).split(\"y\"),l=o.substr(1).split(\"y\");return s[0]===l[0]?+s[1]-+l[1]:+s[0]-+l[0]}),i};kn.findSubplotsWithAxis=function(e,t){for(var r=new RegExp(t._id.charAt(0)===\"x\"?\"^\"+t._id+\"y\":t._id+\"$\"),n=[],i=0;i<e.length;i++){var a=e[i];r.test(a)&&n.push(a)}return n};kn.makeClipPaths=function(e){var t=e._fullLayout;if(!t._hasOnlyLargeSploms){var r={_offset:0,_length:t.width,_id:\"\"},n={_offset:0,_length:t.height,_id:\"\"},i=kn.list(e,\"x\",!0),a=kn.list(e,\"y\",!0),o=[],s,l;for(s=0;s<i.length;s++)for(o.push({x:i[s],y:n}),l=0;l<a.length;l++)s===0&&o.push({x:r,y:a[l]}),o.push({x:i[s],y:a[l]});var u=t._clips.selectAll(\".axesclip\").data(o,function(c){return c.x._id+c.y._id});u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",function(c){return\"clip\"+t._uid+c.x._id+c.y._id}).append(\"rect\"),u.exit().remove(),u.each(function(c){w0.select(this).select(\"rect\").attr({x:c.x._offset||0,y:c.y._offset||0,width:c.x._length||1,height:c.y._length||1})})}};kn.draw=function(e,t,r){var n=e._fullLayout;t===\"redraw\"&&n._paper.selectAll(\"g.subplot\").each(function(l){var u=l[0],c=n._plots[u];if(c){var f=c.xaxis,h=c.yaxis;c.xaxislayer.selectAll(\".\"+f._id+\"tick\").remove(),c.yaxislayer.selectAll(\".\"+h._id+\"tick\").remove(),c.xaxislayer.selectAll(\".\"+f._id+\"tick2\").remove(),c.yaxislayer.selectAll(\".\"+h._id+\"tick2\").remove(),c.xaxislayer.selectAll(\".\"+f._id+\"divider\").remove(),c.yaxislayer.selectAll(\".\"+h._id+\"divider\").remove(),c.minorGridlayer&&c.minorGridlayer.selectAll(\"path\").remove(),c.gridlayer&&c.gridlayer.selectAll(\"path\").remove(),c.zerolinelayer&&c.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+f._id+\"title\").remove(),n._infolayer.select(\".g-\"+h._id+\"title\").remove()}});var i=!t||t===\"redraw\"?kn.listIds(e):t,a=kn.list(e),o=a.filter(function(l){return l.autoshift}).map(function(l){return l.overlaying});i.map(function(l){var u=kn.getFromId(e,l);if(u.tickmode===\"sync\"&&u.overlaying){var c=i.findIndex(function(f){return f===u.overlaying});c>=0&&i.unshift(i.splice(c,1).shift())}});var s={false:{left:0,right:0}};return Vo.syncOrAsync(i.map(function(l){return function(){if(l){var u=kn.getFromId(e,l);r||(r={}),r.axShifts=s,r.overlayingShiftedAx=o;var c=kn.drawOne(e,u,r);return u._shiftPusher&&oB(u,u._fullDepth||0,s,!0),u._r=u.range.slice(),u._rl=Vo.simpleMap(u._r,u.r2l),c}}}))};kn.drawOne=function(e,t,r){r=r||{};var n=r.axShifts||{},i=r.overlayingShiftedAx||[],a,o,s;t.setScale();var l=e._fullLayout,u=t._id,c=u.charAt(0),f=kn.counterLetter(u),h=l._plots[t._mainSubplot];if(!h)return;if(t._shiftPusher=t.autoshift||i.indexOf(t._id)!==-1||i.indexOf(t.overlaying)!==-1,t._shiftPusher&t.anchor===\"free\"){var d=t.linewidth/2||0;t.ticks===\"inside\"&&(d+=t.ticklen),oB(t,d,n,!0),oB(t,t.shift||0,n,!1)}(r.skipTitle!==!0||t._shift===void 0)&&(t._shift=qot(t,n));var v=h[c+\"axislayer\"],x=t._mainLinePosition,b=x+=t._shift,g=t._mainMirrorPosition,E=t._vals=kn.calcTicks(t),k=[t.mirror,b,g].join(\"_\");for(a=0;a<E.length;a++)E[a].axInfo=k;t._selections={},t._tickAngles&&(t._prevTickAngles=t._tickAngles),t._tickAngles={},t._depth=null;var A={};function L(rt){var ot=u+(rt||\"tick\");return A[ot]||(A[ot]=kot(t,ot,b)),A[ot]}if(t.visible){var _=kn.makeTransTickFn(t),C=kn.makeTransTickLabelFn(t),M,p,P=t.ticks===\"inside\",T=t.ticks===\"outside\";if(t.tickson===\"boundaries\"){var F=Sot(t,E);p=kn.clipEnds(t,F),M=P?p:F}else p=kn.clipEnds(t,E),M=P&&t.ticklabelmode!==\"period\"?p:E;var q=t._gridVals=p,V=Eot(t,E);if(!l._hasOnlyLargeSploms){var H=t._subplotsWith,X={};for(a=0;a<H.length;a++){o=H[a],s=l._plots[o];var G=s[f+\"axis\"],N=G._mainAxis._id;if(!X[N]){X[N]=1;var 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Ce=t._linepositions[o]||[],me=Ce[0],Re=Ce[1],ce=Ce[2],Ge=kn.makeTickPath(t,me,ce?ae[0]:_e[0],{minor:ce})+kn.makeTickPath(t,Re,ce?ae[1]:_e[1],{minor:ce});kn.drawTicks(e,t,{vals:M,layer:s[c+\"axislayer\"],path:Ge,transFn:_})}}var nt=[];if(nt.push(function(){return kn.drawLabels(e,t,{vals:E,layer:v,plotinfo:s,transFn:C,labelFns:kn.makeLabelFns(t,b)})}),t.type===\"multicategory\"){var ct={x:2,y:10}[c];nt.push(function(){var rt={x:\"height\",y:\"width\"}[c],ot=L()[rt]+ct+(t._tickAngles[u+\"tick\"]?t.tickfont.size*rM:0);return kn.drawLabels(e,t,{vals:Mot(t,E),layer:v,cls:u+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:_,labelFns:kn.makeLabelFns(t,b+ot*ae[4])})}),nt.push(function(){return t._depth=ae[4]*(L(\"tick2\")[t.side]-b),Lot(e,t,{vals:V,layer:v,path:kn.makeTickPath(t,b,ae[4],{len:t._depth}),transFn:_})})}else t.title.hasOwnProperty(\"standoff\")&&nt.push(function(){t._depth=ae[4]*(L()[t.side]-b)});var 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x.name=d,v._isShape?B3.call(\"_guiRelayout\",t,\"shapes[\"+a.index+\"].name\",x.name):B3.call(\"_guiRestyle\",t,x,a.index)}):DL(f,e,t,r)}function cle(e,t){var r=Math.max(4,t);if(e&&e.trim().length>=r/2)return e;e=e||\"\";for(var n=r-e.length;n>0;n--)e+=\" \";return e}function yst(e,t,r){var n=t._context.doubleClickDelay,i,a=1,o=gh.ensureSingle(e,\"rect\",r+\"toggle\",function(s){t._context.staticPlot||s.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),s.call(RL.fill,\"rgba(0,0,0,0)\")});t._context.staticPlot||(o.on(\"mousedown\",function(){i=new Date().getTime(),i-t._legendMouseDownTime<n?a+=1:(a=1,t._legendMouseDownTime=i)}),o.on(\"mouseup\",function(){if(!(t._dragged||t._editing)){var s=t._fullLayout[r];new Date().getTime()-t._legendMouseDownTime>n&&(a=Math.max(a-1,1)),hle(t,s,e,a,Sp.event)}}))}function DL(e,t,r,n,i){n._inHover&&e.attr(\"data-notex\",!0),Rb.convertToTspans(e,r,function(){_st(t,r,n,i)})}function _st(e,t,r,n){var i=e.data()[0][0];if(!r._inHover&&i&&!i.trace.showlegend){e.remove();return}var a=e.select(\"g[class*=math-group]\"),o=a.node(),s=qL(r);r||(r=t._fullLayout[s]);var l=r.borderwidth,u;n===q3?u=r.title.font:i.groupTitle?u=i.groupTitle.font:u=r.font;var c=u.size*fle,f,h;if(o){var d=mh.bBox(o);f=d.height,h=d.width,n===q3?mh.setTranslate(a,l,l+f*.75):mh.setTranslate(a,0,f*.25)}else{var v=\".\"+s+(n===q3?\"title\":\"\")+\"text\",x=e.select(v),b=Rb.lineCount(x),g=x.node();if(f=c*b,h=g?mh.bBox(g).width:0,n===q3)r.title.side===\"left\"&&(h+=Vh.itemGap*2),Rb.positionText(x,l+Vh.titlePad,l+c);else{var E=Vh.itemGap*2+r.indentation+r.itemwidth;i.groupTitle&&(E=Vh.itemGap,h-=r.indentation+r.itemwidth),Rb.positionText(x,E,-c*((b-1)/2-.3))}}n===q3?(r._titleWidth=h,r._titleHeight=f):(i.lineHeight=c,i.height=Math.max(f,16)+3,i.width=h)}function xst(e){var t=0,r=0,n=e.title.side;return n&&(n.indexOf(\"left\")!==-1&&(t=e._titleWidth),n.indexOf(\"top\")!==-1&&(r=e._titleHeight)),[t,r]}function bst(e,t,r,n){var i=e._fullLayout,a=qL(n);n||(n=i[a]);var o=i._size,s=lle.isVertical(n),l=lle.isGrouped(n),u=n.entrywidthmode===\"fraction\",c=n.borderwidth,f=2*c,h=Vh.itemGap,d=n.indentation+n.itemwidth+h*2,v=2*(c+h),x=FL(n),b=n.y<0||n.y===0&&x===\"top\",g=n.y>1||n.y===1&&x===\"bottom\",E=n.tracegroupgap,k={};n._maxHeight=Math.max(b||g?i.height/2:o.h,30);var A=0;n._width=0,n._height=0;var L=xst(n);if(s)r.each(function(ge){var ie=ge[0].height;mh.setTranslate(this,c+L[0],c+L[1]+n._height+ie/2+h),n._height+=ie,n._width=Math.max(n._width,ge[0].width)}),A=d+n._width,n._width+=h+d+f,n._height+=v,l&&(t.each(function(ge,ie){mh.setTranslate(this,0,ie*n.tracegroupgap)}),n._height+=(n._lgroupsLength-1)*n.tracegroupgap);else{var _=zL(n),C=n.x<0||n.x===0&&_===\"right\",M=n.x>1||n.x===1&&_===\"left\",p=g||b,P=i.width/2;n._maxWidth=Math.max(C?p&&_===\"left\"?o.l+o.w:P:M?p&&_===\"right\"?o.r+o.w:P:o.w,2*d);var T=0,F=0;r.each(function(ge){var ie=IL(ge,n,d);T=Math.max(T,ie),F+=ie}),A=null;var q=0;if(l){var V=0,H=0,X=0;t.each(function(){var ge=0,ie=0;Sp.select(this).selectAll(\"g.traces\").each(function(Ee){var Ae=IL(Ee,n,d),ze=Ee[0].height;mh.setTranslate(this,L[0],L[1]+c+h+ze/2+ie),ie+=ze,ge=Math.max(ge,Ae),k[Ee[0].trace.legendgroup]=ge});var Te=ge+h;H>0&&Te+c+H>n._maxWidth?(q=Math.max(q,H),H=0,X+=V+E,V=ie):V=Math.max(V,ie),mh.setTranslate(this,H,X),H+=Te}),n._width=Math.max(q,H)+c,n._height=X+V+v}else{var G=r.size(),N=F+f+(G-1)*h<n._maxWidth,W=0,re=0,ae=0,_e=0;r.each(function(ge){var ie=ge[0].height,Te=IL(ge,n,d,l),Ee=N?Te:T;u||(Ee+=h),Ee+c+re-h>=n._maxWidth&&(q=Math.max(q,_e),re=0,ae+=W,n._height+=W,W=0),mh.setTranslate(this,L[0]+c+re,L[1]+c+ae+ie/2+h),_e=re+Te+h,re+=Ee,W=Math.max(W,ie)}),N?(n._width=re+f,n._height=W+v):(n._width=Math.max(q,_e)+f,n._height+=W+v)}}n._width=Math.ceil(Math.max(n._width+L[0],n._titleWidth+2*(c+Vh.titlePad))),n._height=Math.ceil(Math.max(n._height+L[1],n._titleHeight+2*(c+Vh.itemGap))),n._effHeight=Math.min(n._height,n._maxHeight);var Me=e._context.edits,ke=Me.legendText||Me.legendPosition;r.each(function(ge){var ie=Sp.select(this).select(\".\"+a+\"toggle\"),Te=ge[0].height,Ee=ge[0].trace.legendgroup,Ae=IL(ge,n,d);l&&Ee!==\"\"&&(Ae=k[Ee]);var ze=ke?d:A||Ae;!s&&!u&&(ze+=h/2),mh.setRect(ie,0,-Te/2,ze,Te)})}function wst(e,t,r,n){var i=e._fullLayout,a=i[t],o=zL(a),s=FL(a),l=a.xref===\"paper\",u=a.yref===\"paper\";e._fullLayout._reservedMargin[t]={};var c=a.y<.5?\"b\":\"t\",f=a.x<.5?\"l\":\"r\",h={r:i.width-r,l:r+a._width,b:i.height-n,t:n+a._effHeight};if(l&&u)return PB.autoMargin(e,t,{x:a.x,y:a.y,l:a._width*O3[o],r:a._width*ole[o],b:a._effHeight*ole[s],t:a._effHeight*O3[s]});l?e._fullLayout._reservedMargin[t][c]=h[c]:u||a.orientation===\"v\"?e._fullLayout._reservedMargin[t][f]=h[f]:e._fullLayout._reservedMargin[t][c]=h[c]}function zL(e){return gh.isRightAnchor(e)?\"right\":gh.isCenterAnchor(e)?\"center\":\"left\"}function FL(e){return gh.isBottomAnchor(e)?\"bottom\":gh.isMiddleAnchor(e)?\"middle\":\"top\"}function qL(e){return e._id||\"legend\"}});var qB=ye(FB=>{\"use strict\";var Db=xa(),Sy=uo(),vle=id(),Rf=Mr(),Tst=Rf.pushUnique,DB=Rf.strTranslate,Ast=Rf.strRotate,Sst=g3(),A0=Ll(),Mst=qse(),bm=ao(),sd=va(),OL=gv(),wm=Qa(),Est=ad().zindexSeparator,U3=ba(),Ag=rp(),zb=IS(),kst=bB(),Cst=RB(),wle=zb.YANGLE,zB=Math.PI*wle/180,Lst=1/Math.sin(zB),Pst=Math.cos(zB),Ist=Math.sin(zB),Bc=zb.HOVERARROWSIZE,Us=zb.HOVERTEXTPAD,ple={box:!0,ohlc:!0,violin:!0,candlestick:!0},Rst={scatter:!0,scattergl:!0,splom:!0};function gle(e,t){return e.distance-t.distance}FB.hover=function(t,r,n,i){t=Rf.getGraphDiv(t);var a=r.target;Rf.throttle(t._fullLayout._uid+zb.HOVERID,zb.HOVERMINTIME,function(){Dst(t,r,n,i,a)})};FB.loneHover=function(t,r){var n=!0;Array.isArray(t)||(n=!1,t=[t]);var i=r.gd,a=Ele(i),o=kle(i),s=t.map(function(b){var g=b._x0||b.x0||b.x||0,E=b._x1||b.x1||b.x||0,k=b._y0||b.y0||b.y||0,A=b._y1||b.y1||b.y||0,L=b.eventData;if(L){var _=Math.min(g,E),C=Math.max(g,E),M=Math.min(k,A),p=Math.max(k,A),P=b.trace;if(U3.traceIs(P,\"gl3d\")){var T=i._fullLayout[P.scene]._scene.container,F=T.offsetLeft,q=T.offsetTop;_+=F,C+=F,M+=q,p+=q}L.bbox={x0:_+o,x1:C+o,y0:M+a,y1:p+a},r.inOut_bbox&&r.inOut_bbox.push(L.bbox)}else L=!1;return{color:b.color||sd.defaultLine,x0:b.x0||b.x||0,x1:b.x1||b.x||0,y0:b.y0||b.y||0,y1:b.y1||b.y||0,xLabel:b.xLabel,yLabel:b.yLabel,zLabel:b.zLabel,text:b.text,name:b.name,idealAlign:b.idealAlign,borderColor:b.borderColor,fontFamily:b.fontFamily,fontSize:b.fontSize,fontColor:b.fontColor,fontWeight:b.fontWeight,fontStyle:b.fontStyle,fontVariant:b.fontVariant,nameLength:b.nameLength,textAlign:b.textAlign,trace:b.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:b.hovertemplate||!1,hovertemplateLabels:b.hovertemplateLabels||!1,eventData:L}}),l=!1,u=Ale(s,{gd:i,hovermode:\"closest\",rotateLabels:l,bgColor:r.bgColor||sd.background,container:Db.select(r.container),outerContainer:r.outerContainer||r.container}),c=u.hoverLabels,f=5,h=0,d=0;c.sort(function(b,g){return b.y0-g.y0}).each(function(b,g){var E=b.y0-b.by/2;E-f<h?b.offset=h-E+f:b.offset=0,h=E+b.by+b.offset,g===r.anchorIndex&&(d=b.offset)}).each(function(b){b.offset-=d});var v=i._fullLayout._invScaleX,x=i._fullLayout._invScaleY;return Mle(c,l,v,x),n?c:c.node()};function Dst(e,t,r,n,i){r||(r=\"xy\"),typeof r==\"string\"&&(r=r.split(Est)[0]);var a=Array.isArray(r)?r:[r],o,s=e._fullLayout,l=s.hoversubplots,u=s._plots||[],c=u[r],f=s._has(\"cartesian\"),h=t.hovermode||s.hovermode,d=(h||\"\").charAt(0)===\"x\",v=(h||\"\").charAt(0)===\"y\",x,b;if(f&&(d||v)&&l===\"axis\"){for(var g=a.length,E=0;E<g;E++)if(o=a[E],u[o]){x=wm.getFromId(e,o,\"x\"),b=wm.getFromId(e,o,\"y\");var k=(d?x:b)._subplotsWith;if(k&&k.length)for(var A=0;A<k.length;A++)Tst(a,k[A])}}if(c&&l!==\"single\"){var L=c.overlays.map(function(Ni){return Ni.id});a=a.concat(L)}for(var _=a.length,C=new Array(_),M=new Array(_),p=!1,P=0;P<_;P++)if(o=a[P],u[o])p=!0,C[P]=u[o].xaxis,M[P]=u[o].yaxis;else if(s[o]&&s[o]._subplot){var T=s[o]._subplot;C[P]=T.xaxis,M[P]=T.yaxis}else{Rf.warn(\"Unrecognized subplot: \"+o);return}if(h&&!p&&(h=\"closest\"),[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(h)===-1||!e.calcdata||e.querySelector(\".zoombox\")||e._dragging)return OL.unhoverRaw(e,t);var F=s.hoverdistance;F===-1&&(F=1/0);var q=s.spikedistance;q===-1&&(q=1/0);var V=[],H=[],X,G,N,W,re,ae,_e,Me,ke,ge,ie,Te,Ee,Ae={hLinePoint:null,vLinePoint:null},ze=!1;if(Array.isArray(t))for(h=\"array\",N=0;N<t.length;N++)re=e.calcdata[t[N].curveNumber||0],re&&(ae=re[0].trace,re[0].trace.hoverinfo!==\"skip\"&&(H.push(re),ae.orientation===\"h\"&&(ze=!0)));else{var Ce=e.calcdata.slice();for(Ce.sort(function(Ni,_n){var $i=Ni[0].trace.zorder||0,zn=_n[0].trace.zorder||0;return $i-zn}),W=0;W<Ce.length;W++)re=Ce[W],ae=re[0].trace,ae.hoverinfo!==\"skip\"&&Ag.isTraceInSubplots(ae,a)&&(H.push(re),ae.orientation===\"h\"&&(ze=!0));var me=!i,Re,ce;if(me)\"xpx\"in t?Re=t.xpx:Re=C[0]._length/2,\"ypx\"in t?ce=t.ypx:ce=M[0]._length/2;else{if(Sst.triggerHandler(e,\"plotly_beforehover\",t)===!1)return;var Ge=i.getBoundingClientRect();Re=t.clientX-Ge.left,ce=t.clientY-Ge.top,s._calcInverseTransform(e);var nt=Rf.apply3DTransform(s._invTransform)(Re,ce);if(Re=nt[0],ce=nt[1],Re<0||Re>C[0]._length||ce<0||ce>M[0]._length)return OL.unhoverRaw(e,t)}if(t.pointerX=Re+C[0]._offset,t.pointerY=ce+M[0]._offset,\"xval\"in t?X=Ag.flat(a,t.xval):X=Ag.p2c(C,Re),\"yval\"in t?G=Ag.flat(a,t.yval):G=Ag.p2c(M,ce),!Sy(X[0])||!Sy(G[0]))return Rf.warn(\"Fx.hover failed\",t,e),OL.unhoverRaw(e,t)}var ct=1/0;function qt(Ni,_n){for(W=0;W<H.length;W++)if(re=H[W],!(!re||!re[0]||!re[0].trace)&&(ae=re[0].trace,!(ae.visible!==!0||ae._length===0)&&[\"carpet\",\"contourcarpet\"].indexOf(ae._module.name)===-1)){if(ke=h,Ag.isUnifiedHover(ke)&&(ke=ke.charAt(0)),ae.type===\"splom\"?(Me=0,_e=a[Me]):(_e=Ag.getSubplot(ae),Me=a.indexOf(_e)),Te={cd:re,trace:ae,xa:C[Me],ya:M[Me],maxHoverDistance:F,maxSpikeDistance:q,index:!1,distance:Math.min(ct,F),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:sd.defaultLine,name:ae.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},s[_e]&&(Te.subplot=s[_e]._subplot),s._splomScenes&&s._splomScenes[ae.uid]&&(Te.scene=s._splomScenes[ae.uid]),ke===\"array\"){var $i=t[W];\"pointNumber\"in $i?(Te.index=$i.pointNumber,ke=\"closest\"):(ke=\"\",\"xval\"in $i&&(ge=$i.xval,ke=\"x\"),\"yval\"in $i&&(ie=$i.yval,ke=ke?\"closest\":\"y\"))}else Ni!==void 0&&_n!==void 0?(ge=Ni,ie=_n):(ge=X[Me],ie=G[Me]);if(Ee=V.length,F!==0)if(ae._module&&ae._module.hoverPoints){var zn=ae._module.hoverPoints(Te,ge,ie,ke,{finiteRange:!0,hoverLayer:s._hoverlayer,hoversubplots:l,gd:e});if(zn)for(var Wn,It=0;It<zn.length;It++)Wn=zn[It],Sy(Wn.x0)&&Sy(Wn.y0)&&V.push(Ost(Wn,h))}else Rf.log(\"Unrecognized trace type in hover:\",ae);if(h===\"closest\"&&V.length>Ee&&(V.splice(0,Ee),ct=V[0].distance),f&&q!==0&&V.length===0){Te.distance=q,Te.index=!1;var ft=ae._module.hoverPoints(Te,ge,ie,\"closest\",{hoverLayer:s._hoverlayer});if(ft&&(ft=ft.filter(function(Vr){return Vr.spikeDistance<=q})),ft&&ft.length){var jt,Zt=ft.filter(function(Vr){return Vr.xa.showspikes&&Vr.xa.spikesnap!==\"hovered data\"});if(Zt.length){var yr=Zt[0];Sy(yr.x0)&&Sy(yr.y0)&&(jt=ot(yr),(!Ae.vLinePoint||Ae.vLinePoint.spikeDistance>jt.spikeDistance)&&(Ae.vLinePoint=jt))}var Fr=ft.filter(function(Vr){return Vr.ya.showspikes&&Vr.ya.spikesnap!==\"hovered data\"});if(Fr.length){var Zr=Fr[0];Sy(Zr.x0)&&Sy(Zr.y0)&&(jt=ot(Zr),(!Ae.hLinePoint||Ae.hLinePoint.spikeDistance>jt.spikeDistance)&&(Ae.hLinePoint=jt))}}}}}qt();function rt(Ni,_n,$i){for(var zn=null,Wn=1/0,It,ft=0;ft<Ni.length;ft++)x&&x._id!==Ni[ft].xa._id||b&&b._id!==Ni[ft].ya._id||(It=Ni[ft].spikeDistance,$i&&ft===0&&(It=-1/0),It<=Wn&&It<=_n&&(zn=Ni[ft],Wn=It));return zn}function ot(Ni){return Ni?{xa:Ni.xa,ya:Ni.ya,x:Ni.xSpike!==void 0?Ni.xSpike:(Ni.x0+Ni.x1)/2,y:Ni.ySpike!==void 0?Ni.ySpike:(Ni.y0+Ni.y1)/2,distance:Ni.distance,spikeDistance:Ni.spikeDistance,curveNumber:Ni.trace.index,color:Ni.color,pointNumber:Ni.index}:null}var Rt={fullLayout:s,container:s._hoverlayer,event:t},kt=e._spikepoints,Ct={vLinePoint:Ae.vLinePoint,hLinePoint:Ae.hLinePoint};e._spikepoints=Ct;var Yt=function(){var Ni=V.filter(function($i){return x&&x._id===$i.xa._id&&b&&b._id===$i.ya._id}),_n=V.filter(function($i){return!(x&&x._id===$i.xa._id&&b&&b._id===$i.ya._id)});Ni.sort(gle),_n.sort(gle),V=Ni.concat(_n),V=Nst(V,h)};Yt();var xr=h.charAt(0),er=(xr===\"x\"||xr===\"y\")&&V[0]&&Rst[V[0].trace.type];if(f&&q!==0&&V.length!==0){var Ke=V.filter(function(Ni){return Ni.ya.showspikes}),xt=rt(Ke,q,er);Ae.hLinePoint=ot(xt);var bt=V.filter(function(Ni){return Ni.xa.showspikes}),Lt=rt(bt,q,er);Ae.vLinePoint=ot(Lt)}if(V.length===0){var St=OL.unhoverRaw(e,t);return f&&(Ae.hLinePoint!==null||Ae.vLinePoint!==null)&&_le(kt)&&yle(e,Ae,Rt),St}if(f&&_le(kt)&&yle(e,Ae,Rt),Ag.isXYhover(ke)&&V[0].length!==0&&V[0].trace.type!==\"splom\"){var Et=V[0];ple[Et.trace.type]?V=V.filter(function(Ni){return Ni.trace.index===Et.trace.index}):V=[Et];var dt=V.length,Ht=ble(\"x\",Et,s),$t=ble(\"y\",Et,s);qt(Ht,$t);var fr=[],_r={},Br=0,Or=function(Ni){var _n=ple[Ni.trace.type]?Tle(Ni):Ni.trace.index;if(!_r[_n])Br++,_r[_n]=Br,fr.push(Ni);else{var $i=_r[_n]-1,zn=fr[$i];$i>0&&Math.abs(Ni.distance)<Math.abs(zn.distance)&&(fr[$i]=Ni)}},Nr;for(Nr=0;Nr<dt;Nr++)Or(V[Nr]);for(Nr=V.length-1;Nr>dt-1;Nr--)Or(V[Nr]);V=fr,Yt()}var ut=e._hoverdata,Ne=[],Ye=Ele(e),Ve=kle(e);for(N=0;N<V.length;N++){var Xe=V[N],ht=Ag.makeEventData(Xe,Xe.trace,Xe.cd);if(Xe.hovertemplate!==!1){var Le=!1;Xe.cd[Xe.index]&&Xe.cd[Xe.index].ht&&(Le=Xe.cd[Xe.index].ht),Xe.hovertemplate=Le||Xe.trace.hovertemplate||!1}if(Xe.xa&&Xe.ya){var xe=Xe.x0+Xe.xa._offset,Se=Xe.x1+Xe.xa._offset,lt=Xe.y0+Xe.ya._offset,Gt=Xe.y1+Xe.ya._offset,Vt=Math.min(xe,Se),ar=Math.max(xe,Se),Qr=Math.min(lt,Gt),ai=Math.max(lt,Gt);ht.bbox={x0:Vt+Ve,x1:ar+Ve,y0:Qr+Ye,y1:ai+Ye}}Xe.eventData=[ht],Ne.push(ht)}e._hoverdata=Ne;var jr=h===\"y\"&&(H.length>1||V.length>1)||h===\"closest\"&&ze&&V.length>1,ri=sd.combine(s.plot_bgcolor||sd.background,s.paper_bgcolor),bi=Ale(V,{gd:e,hovermode:h,rotateLabels:jr,bgColor:ri,container:s._hoverlayer,outerContainer:s._paper.node(),commonLabelOpts:s.hoverlabel,hoverdistance:s.hoverdistance}),nn=bi.hoverLabels;if(Ag.isUnifiedHover(h)||(Fst(nn,jr,s,bi.commonLabelBoundingBox),Mle(nn,jr,s._invScaleX,s._invScaleY)),i&&i.tagName){var Wi=U3.getComponentMethod(\"annotations\",\"hasClickToShow\")(e,Ne);Mst(Db.select(i),Wi?\"pointer\":\"\")}!i||n||!Bst(e,t,ut)||(ut&&e.emit(\"plotly_unhover\",{event:t,points:ut}),e.emit(\"plotly_hover\",{event:t,points:e._hoverdata,xaxes:C,yaxes:M,xvals:X,yvals:G}))}function Tle(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:\"\",e.ya?e.ya._id:\"\"].join(\",\")}var zst=/<extra>([\\s\\S]*)<\\/extra>/;function Ale(e,t){var r=t.gd,n=r._fullLayout,i=t.hovermode,a=t.rotateLabels,o=t.bgColor,s=t.container,l=t.outerContainer,u=t.commonLabelOpts||{};if(e.length===0)return[[]];var c=t.fontFamily||zb.HOVERFONT,f=t.fontSize||zb.HOVERFONTSIZE,h=t.fontWeight||n.font.weight,d=t.fontStyle||n.font.style,v=t.fontVariant||n.font.variant,x=t.fontTextcase||n.font.textcase,b=t.fontLineposition||n.font.lineposition,g=t.fontShadow||n.font.shadow,E=e[0],k=E.xa,A=E.ya,L=i.charAt(0),_=L+\"Label\",C=E[_];if(C===void 0&&k.type===\"multicategory\")for(var M=0;M<e.length&&(C=e[M][_],C===void 0);M++);var p=N3(r,l),P=p.top,T=p.width,F=p.height,q=C!==void 0&&E.distance<=t.hoverdistance&&(i===\"x\"||i===\"y\");if(q){var V=!0,H,X;for(H=0;H<e.length;H++)if(V&&e[H].zLabel===void 0&&(V=!1),X=e[H].hoverinfo||e[H].trace.hoverinfo,X){var G=Array.isArray(X)?X:X.split(\"+\");if(G.indexOf(\"all\")===-1&&G.indexOf(i)===-1){q=!1;break}}V&&(q=!1)}var N=s.selectAll(\"g.axistext\").data(q?[0]:[]);N.enter().append(\"g\").classed(\"axistext\",!0),N.exit().remove();var W={minX:0,maxX:0,minY:0,maxY:0};if(N.each(function(){var bt=Db.select(this),Lt=Rf.ensureSingle(bt,\"path\",\"\",function(Vt){Vt.style({\"stroke-width\":\"1px\"})}),St=Rf.ensureSingle(bt,\"text\",\"\",function(Vt){Vt.attr(\"data-notex\",1)}),Et=u.bgcolor||sd.defaultLine,dt=u.bordercolor||sd.contrast(Et),Ht=sd.contrast(Et),$t=u.font,fr={weight:$t.weight||h,style:$t.style||d,variant:$t.variant||v,textcase:$t.textcase||x,lineposition:$t.lineposition||b,shadow:$t.shadow||g,family:$t.family||c,size:$t.size||f,color:$t.color||Ht};Lt.style({fill:Et,stroke:dt}),St.text(C).call(bm.font,fr).call(A0.positionText,0,0).call(A0.convertToTspans,r),bt.attr(\"transform\",\"\");var _r=N3(r,St.node()),Br,Or;if(i===\"x\"){var 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Ye,Ve,Xe;A.side===\"right\"?(Ye=\"start\",Ve=1,Xe=\"\",Br=k._offset+k._length):(Ye=\"end\",Ve=-1,Xe=\"-\",Br=k._offset),Or=A._offset+(E.y0+E.y1)/2,St.attr(\"text-anchor\",Ye),Lt.attr(\"d\",\"M0,0L\"+Xe+Bc+\",\"+Bc+\"V\"+(Us+_r.height/2)+\"h\"+Xe+(Us*2+_r.width)+\"V-\"+(Us+_r.height/2)+\"H\"+Xe+Bc+\"V-\"+Bc+\"Z\"),W.minY=Or-(Us+_r.height/2),W.maxY=Or+(Us+_r.height/2),A.side===\"right\"?(W.minX=Br+Bc,W.maxX=Br+Bc+(Us*2+_r.width)):(W.minX=Br-Bc-(Us*2+_r.width),W.maxX=Br-Bc);var ht=_r.height/2,Le=P-_r.top-ht,xe=\"clip\"+n._uid+\"commonlabel\"+A._id,Se;if(Br<_r.width+2*Us+Bc){Se=\"M-\"+(Bc+Us)+\"-\"+ht+\"h-\"+(_r.width-Us)+\"V\"+ht+\"h\"+(_r.width-Us)+\"Z\";var lt=_r.width-Br+Us;A0.positionText(St,lt,Le),Ye===\"end\"&&St.selectAll(\"tspan\").each(function(){var Vt=Db.select(this),ar=bm.tester.append(\"text\").text(Vt.text()).call(bm.font,fr),Qr=N3(r,ar.node());Math.round(Qr.width)<Math.round(_r.width)&&Vt.attr(\"x\",lt-Qr.width),ar.remove()})}else A0.positionText(St,Ve*(Us+Bc),Le),Se=null;var Gt=n._topclips.selectAll(\"#\"+xe).data(Se?[0]:[]);Gt.enter().append(\"clipPath\").attr(\"id\",xe).append(\"path\"),Gt.exit().remove(),Gt.select(\"path\").attr(\"d\",Se),bm.setClipUrl(St,Se?xe:null,r)}bt.attr(\"transform\",DB(Br,Or))}),Ag.isUnifiedHover(i)){s.selectAll(\"g.hovertext\").remove();var re=e.filter(function(bt){return bt.hoverinfo!==\"none\"});if(re.length===0)return[];var ae=n.hoverlabel,_e=ae.font,Me={showlegend:!0,legend:{title:{text:C,font:_e},font:_e,bgcolor:ae.bgcolor,bordercolor:ae.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:n.legend?n.legend.traceorder:void 0,orientation:\"v\"}},ke={font:_e};kst(Me,ke,r._fullData);var ge=ke.legend;ge.entries=[];for(var ie=0;ie<re.length;ie++){var Te=re[ie];if(Te.hoverinfo!==\"none\"){var Ee=mle(Te,!0,i,n,C),Ae=Ee[0],ze=Ee[1];Te.name=ze,ze!==\"\"?Te.text=ze+\" : \"+Ae:Te.text=Ae;var Ce=Te.cd[Te.index];Ce&&(Ce.mc&&(Te.mc=Ce.mc),Ce.mcc&&(Te.mc=Ce.mcc),Ce.mlc&&(Te.mlc=Ce.mlc),Ce.mlcc&&(Te.mlc=Ce.mlcc),Ce.mlw&&(Te.mlw=Ce.mlw),Ce.mrc&&(Te.mrc=Ce.mrc),Ce.dir&&(Te.dir=Ce.dir)),Te._distinct=!0,ge.entries.push([Te])}}ge.entries.sort(function(bt,Lt){return bt[0].trace.index-Lt[0].trace.index}),ge.layer=s,ge._inHover=!0,ge._groupTitleFont=ae.grouptitlefont,Cst(r,ge);var me=s.select(\"g.legend\"),Re=N3(r,me.node()),ce=Re.width+2*Us,Ge=Re.height+2*Us,nt=re[0],ct=(nt.x0+nt.x1)/2,qt=(nt.y0+nt.y1)/2,rt=!(U3.traceIs(nt.trace,\"bar-like\")||U3.traceIs(nt.trace,\"box-violin\")),ot,Rt;L===\"y\"?rt?(Rt=qt-Us,ot=qt+Us):(Rt=Math.min.apply(null,re.map(function(bt){return Math.min(bt.y0,bt.y1)})),ot=Math.max.apply(null,re.map(function(bt){return Math.max(bt.y0,bt.y1)}))):Rt=ot=Rf.mean(re.map(function(bt){return(bt.y0+bt.y1)/2}))-Ge/2;var kt,Ct;L===\"x\"?rt?(kt=ct+Us,Ct=ct-Us):(kt=Math.max.apply(null,re.map(function(bt){return 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Et=bt.bgcolor||St,dt=sd.combine(sd.opacity(Et)?Et:sd.defaultLine,o),Ht=sd.combine(sd.opacity(St)?St:sd.defaultLine,o),$t=bt.borderColor||sd.contrast(dt),fr=mle(bt,q,i,n,C,Lt),_r=fr[0],Br=fr[1],Or=Lt.select(\"text.nums\").call(bm.font,{family:bt.fontFamily||c,size:bt.fontSize||f,color:bt.fontColor||$t,weight:bt.fontWeight||h,style:bt.fontStyle||d,variant:bt.fontVariant||v,textcase:bt.fontTextcase||x,lineposition:bt.fontLineposition||b,shadow:bt.fontShadow||g}).text(_r).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r),Nr=Lt.select(\"text.name\"),ut=0,Ne=0;if(Br&&Br!==_r){Nr.call(bm.font,{family:bt.fontFamily||c,size:bt.fontSize||f,color:Ht,weight:bt.fontWeight||h,style:bt.fontStyle||d,variant:bt.fontVariant||v,textcase:bt.fontTextcase||x,lineposition:bt.fontLineposition||b,shadow:bt.fontShadow||g}).text(Br).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r);var Ye=N3(r,Nr.node());ut=Ye.width+2*Us,Ne=Ye.height+2*Us}else 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Qr=Gt/2,ai=Ve+Qr-T,jr=Ve-Qr;ai>0&&(Ve-=ai),jr<0&&(Ve+=-jr)}bt.crossPos=Ve}Or.attr(\"text-anchor\",bt.anchor),ut&&Nr.attr(\"text-anchor\",bt.anchor),Lt.attr(\"transform\",DB(Ve,Xe)+(a?Ast(wle):\"\"))}),{hoverLabels:xt,commonLabelBoundingBox:W}}function mle(e,t,r,n,i,a){var o=\"\",s=\"\";e.nameOverride!==void 0&&(e.name=e.nameOverride),e.name&&(e.trace._meta&&(e.name=Rf.templateString(e.name,e.trace._meta)),o=xle(e.name,e.nameLength));var l=r.charAt(0),u=l===\"x\"?\"y\":\"x\";e.zLabel!==void 0?(e.xLabel!==void 0&&(s+=\"x: \"+e.xLabel+\"<br>\"),e.yLabel!==void 0&&(s+=\"y: \"+e.yLabel+\"<br>\"),e.trace.type!==\"choropleth\"&&e.trace.type!==\"choroplethmapbox\"&&e.trace.type!==\"choroplethmap\"&&(s+=(s?\"z: \":\"\")+e.zLabel)):t&&e[l+\"Label\"]===i?s=e[u+\"Label\"]||\"\":e.xLabel===void 0?e.yLabel!==void 0&&e.trace.type!==\"scattercarpet\"&&(s=e.yLabel):e.yLabel===void 0?s=e.xLabel:s=\"(\"+e.xLabel+\", \"+e.yLabel+\")\",(e.text||e.text===0)&&!Array.isArray(e.text)&&(s+=(s?\"<br>\":\"\")+e.text),e.extraText!==void 0&&(s+=(s?\"<br>\":\"\")+e.extraText),a&&s===\"\"&&!e.hovertemplate&&(o===\"\"&&a.remove(),s=o);var c=e.hovertemplate||!1;if(c){var f=e.hovertemplateLabels||e;e[l+\"Label\"]!==i&&(f[l+\"other\"]=f[l+\"Val\"],f[l+\"otherLabel\"]=f[l+\"Label\"]),s=Rf.hovertemplateString(c,f,n._d3locale,e.eventData[0]||{},e.trace._meta),s=s.replace(zst,function(h,d){return o=xle(d,e.nameLength),\"\"})}return[s,o]}function Fst(e,t,r,n){var i=t?\"xa\":\"ya\",a=t?\"ya\":\"xa\",o=0,s=1,l=e.size(),u=new Array(l),c=0,f=n.minX,h=n.maxX,d=n.minY,v=n.maxY,x=function(X){return X*r._invScaleX},b=function(X){return X*r._invScaleY};e.each(function(X){var G=X[i],N=X[a],W=G._id.charAt(0)===\"x\",re=G.range;c===0&&re&&re[0]>re[1]!==W&&(s=-1);var ae=0,_e=W?r.width:r.height;if(r.hovermode===\"x\"||r.hovermode===\"y\"){var Me=Sle(X,t),ke=X.anchor,ge=ke===\"end\"?-1:1,ie,Te;if(ke===\"middle\")ie=X.crossPos+(W?b(Me.y-X.by/2):x(X.bx/2+X.tx2width/2)),Te=ie+(W?b(X.by):x(X.bx));else if(W)ie=X.crossPos+b(Bc+Me.y)-b(X.by/2-Bc),Te=ie+b(X.by);else{var Ee=x(ge*Bc+Me.x),Ae=Ee+x(ge*X.bx);ie=X.crossPos+Math.min(Ee,Ae),Te=X.crossPos+Math.max(Ee,Ae)}W?d!==void 0&&v!==void 0&&Math.min(Te,v)-Math.max(ie,d)>1&&(N.side===\"left\"?(ae=N._mainLinePosition,_e=r.width):_e=N._mainLinePosition):f!==void 0&&h!==void 0&&Math.min(Te,h)-Math.max(ie,f)>1&&(N.side===\"top\"?(ae=N._mainLinePosition,_e=r.height):_e=N._mainLinePosition)}u[c++]=[{datum:X,traceIndex:X.trace.index,dp:0,pos:X.pos,posref:X.posref,size:X.by*(W?Lst:1)/2,pmin:ae,pmax:_e}]}),u.sort(function(X,G){return X[0].posref-G[0].posref||s*(G[0].traceIndex-X[0].traceIndex)});var g,E,k,A,L,_,C;function M(X){var G=X[0],N=X[X.length-1];if(E=G.pmin-G.pos-G.dp+G.size,k=N.pos+N.dp+N.size-G.pmax,E>.01){for(L=X.length-1;L>=0;L--)X[L].dp+=E;g=!1}if(!(k<.01)){if(E<-.01){for(L=X.length-1;L>=0;L--)X[L].dp-=k;g=!1}if(g){var W=0;for(A=0;A<X.length;A++)_=X[A],_.pos+_.dp+_.size>G.pmax&&W++;for(A=X.length-1;A>=0&&!(W<=0);A--)_=X[A],_.pos>G.pmax-1&&(_.del=!0,W--);for(A=0;A<X.length&&!(W<=0);A++)if(_=X[A],_.pos<G.pmin+1)for(_.del=!0,W--,k=_.size*2,L=X.length-1;L>=0;L--)X[L].dp-=k;for(A=X.length-1;A>=0&&!(W<=0);A--)_=X[A],_.pos+_.dp+_.size>G.pmax&&(_.del=!0,W--)}}}for(;!g&&o<=l;){for(o++,g=!0,A=0;A<u.length-1;){var p=u[A],P=u[A+1],T=p[p.length-1],F=P[0];if(E=T.pos+T.dp+T.size-F.pos-F.dp+F.size,E>.01){for(L=P.length-1;L>=0;L--)P[L].dp+=E;for(p.push.apply(p,P),u.splice(A+1,1),C=0,L=p.length-1;L>=0;L--)C+=p[L].dp;for(k=C/p.length,L=p.length-1;L>=0;L--)p[L].dp-=k;g=!1}else A++}u.forEach(M)}for(A=u.length-1;A>=0;A--){var q=u[A];for(L=q.length-1;L>=0;L--){var V=q[L],H=V.datum;H.offset=V.dp,H.del=V.del}}}function 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oue=Sg(),plt=oue.drawMode,glt=oue.openMode,H3=VL(),rue=H3.i000,iue=H3.i090,nue=H3.i180,aue=H3.i270,mlt=H3.cos45,ylt=H3.sin45,sue=HL(),jL=sue.p2r,c_=sue.r2p,_lt=Q1(),xlt=_lt.clearOutline,WL=u_(),blt=WL.readPaths,wlt=WL.writePaths,Tlt=WL.ellipseOver,Alt=WL.fixDatesForPaths;function Slt(e,t){if(e.length){var r=e[0][0];if(r){var n=t.gd,i=t.isActiveShape,a=t.dragmode,o=(n.layout||{}).shapes||[];if(!plt(a)&&i!==void 0){var s=n._fullLayout._activeShapeIndex;if(s<o.length)switch(n._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";l[l.length-1]===\"Z\"?a=\"drawclosedpath\":a=\"drawopenpath\";break}}var u=lue(e,t,a);xlt(n);for(var c=t.editHelpers,f=(c||{}).modifyItem,h=[],d=0;d<o.length;d++){var v=n._fullLayout.shapes[d];if(h[d]=v._input,i!==void 0&&d===n._fullLayout._activeShapeIndex){var 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b;if(v.length===1&&(b=v[0]),b&&b.length===5&&r===\"drawrect\")x.type=\"rect\",x.x0=b[0][1],x.y0=b[0][2],x.x1=b[2][1],x.y1=b[2][2];else if(b&&r===\"drawline\")x.type=\"line\",x.x0=b[0][1],x.y0=b[0][2],x.x1=b[1][1],x.y1=b[1][2];else if(b&&r===\"drawcircle\"){x.type=\"circle\";var g=b[rue][1],E=b[iue][1],k=b[nue][1],A=b[aue][1],L=b[rue][2],_=b[iue][2],C=b[nue][2],M=b[aue][2],p=s.xaxis&&(s.xaxis.type===\"date\"||s.xaxis.type===\"log\"),P=s.yaxis&&(s.yaxis.type===\"date\"||s.yaxis.type===\"log\");p&&(g=c_(s.xaxis,g),E=c_(s.xaxis,E),k=c_(s.xaxis,k),A=c_(s.xaxis,A)),P&&(L=c_(s.yaxis,L),_=c_(s.yaxis,_),C=c_(s.yaxis,C),M=c_(s.yaxis,M));var T=(E+A)/2,F=(L+C)/2,q=(A-E+k-g)/2,V=(M-_+C-L)/2,H=Tlt({x0:T,y0:F,x1:T+q*mlt,y1:F+V*ylt});p&&(H.x0=jL(s.xaxis,H.x0),H.x1=jL(s.xaxis,H.x1)),P&&(H.y0=jL(s.yaxis,H.y0),H.y1=jL(s.yaxis,H.y1)),x.x0=H.x0,x.y0=H.y0,x.x1=H.x1,x.y1=H.y1}else x.type=\"path\",u&&c&&Alt(v,u,c),x.path=wlt(v),b=null;return x}uue.exports={newShapes:Slt,createShapeObj:lue}});var VB=ye((Qrr,cue)=>{\"use strict\";var Mlt=Sg(),Elt=Mlt.selectMode,klt=Q1(),Clt=klt.clearOutline,UB=u_(),Llt=UB.readPaths,Plt=UB.writePaths,Ilt=UB.fixDatesForPaths;cue.exports=function(t,r){if(t.length){var n=t[0][0];if(n){var i=n.getAttribute(\"d\"),a=r.gd,o=a._fullLayout.newselection,s=r.plotinfo,l=s.xaxis,u=s.yaxis,c=r.isActiveSelection,f=r.dragmode,h=(a.layout||{}).selections||[];if(!Elt(f)&&c!==void 0){var d=a._fullLayout._activeSelectionIndex;if(d<h.length)switch(a._fullLayout.selections[d].type){case\"rect\":f=\"select\";break;case\"path\":f=\"lasso\";break}}var v=Llt(i,a,s,c),x={xref:l._id,yref:u._id,opacity:o.opacity,line:{color:o.line.color,width:o.line.width,dash:o.line.dash}},b;v.length===1&&(b=v[0]),b&&b.length===5&&f===\"select\"?(x.type=\"rect\",x.x0=b[0][1],x.y0=b[0][2],x.x1=b[2][1],x.y1=b[2][2]):(x.type=\"path\",l&&u&&Ilt(v,l,u),x.path=Plt(v),b=null),Clt(a);for(var g=r.editHelpers,E=(g||{}).modifyItem,k=[],A=0;A<h.length;A++){var 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i?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=e._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=e._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}};Ld.getPathString=function(e,t){var r=t.type,n=XL.getRefType(t.xref),i=XL.getRefType(t.yref),a=XL.getFromId(e,t.xref),o=XL.getFromId(e,t.yref),s=e._fullLayout._size,l,u,c,f,h=fM(a,t.x0shift),d=fM(a,t.x1shift),v=fM(o,t.y0shift),x=fM(o,t.y1shift),b,g,E,k;if(a?n===\"domain\"?u=function(q){return a._offset+a._length*q}:(l=Ld.shapePositionToRange(a),u=function(q){return a._offset+a.r2p(l(q,!0))}):u=function(q){return s.l+s.w*q},o?i===\"domain\"?f=function(q){return o._offset+o._length*(1-q)}:(c=Ld.shapePositionToRange(o),f=function(q){return o._offset+o.r2p(c(q,!0))}):f=function(q){return s.t+s.h*(1-q)},r===\"path\")return a&&a.type===\"date\"&&(u=Ld.decodeDate(u)),o&&o.type===\"date\"&&(f=Ld.decodeDate(f)),Rlt(t,u,f);if(t.xsizemode===\"pixel\"){var A=u(t.xanchor);b=A+t.x0+h,g=A+t.x1+d}else b=u(t.x0)+h,g=u(t.x1)+d;if(t.ysizemode===\"pixel\"){var L=f(t.yanchor);E=L-t.y0+v,k=L-t.y1+x}else E=f(t.y0)+v,k=f(t.y1)+x;if(r===\"line\")return\"M\"+b+\",\"+E+\"L\"+g+\",\"+k;if(r===\"rect\")return\"M\"+b+\",\"+E+\"H\"+g+\"V\"+k+\"H\"+b+\"Z\";var _=(b+g)/2,C=(E+k)/2,M=Math.abs(_-b),p=Math.abs(C-E),P=\"A\"+M+\",\"+p,T=_+M+\",\"+C,F=_+\",\"+(C-p);return\"M\"+T+P+\" 0 1,1 \"+F+P+\" 0 0,1 \"+T+\"Z\"};function Rlt(e,t,r){var n=e.path,i=e.xsizemode,a=e.ysizemode,o=e.xanchor,s=e.yanchor;return n.replace(Fb.segmentRE,function(l){var u=0,c=l.charAt(0),f=Fb.paramIsX[c],h=Fb.paramIsY[c],d=Fb.numParams[c],v=l.substr(1).replace(Fb.paramRE,function(x){return f[u]?i===\"pixel\"?x=t(o)+Number(x):x=t(x):h[u]&&(a===\"pixel\"?x=r(s)-Number(x):x=r(x)),u++,u>d&&(x=\"X\"),x});return u>d&&(v=v.replace(/[\\s,]*X.*/,\"\"),hue.log(\"Ignoring extra params in segment \"+l)),c+v})}function fM(e,t){t=t||0;var r=0;return t&&e&&(e.type===\"category\"||e.type===\"multicategory\")&&(r=(e.r2p(1)-e.r2p(0))*t),r}});var GB=ye((rir,gue)=>{\"use strict\";var Dlt=Mr(),G3=Qa(),due=Ll(),vue=ao(),zlt=u_().readPaths,HB=f_(),Flt=HB.getPathString,pue=x6(),qlt=Nh().FROM_TL;gue.exports=function(t,r,n,i){if(i.selectAll(\".shape-label\").remove(),!!(n.label.text||n.label.texttemplate)){var a;if(n.label.texttemplate){var o={};if(n.type!==\"path\"){var s=G3.getFromId(t,n.xref),l=G3.getFromId(t,n.yref);for(var u in pue){var c=pue[u](n,s,l);c!==void 0&&(o[u]=c)}}a=Dlt.texttemplateStringForShapes(n.label.texttemplate,{},t._fullLayout._d3locale,o)}else a=n.label.text;var f={\"data-index\":r},h=n.label.font,d={\"data-notex\":1},v=i.append(\"g\").attr(f).classed(\"shape-label\",!0),x=v.append(\"text\").attr(d).classed(\"shape-label-text\",!0).text(a),b,g,E,k;if(n.path){var A=Flt(t,n),L=zlt(A,t);b=1/0,E=1/0,g=-1/0,k=-1/0;for(var _=0;_<L.length;_++)for(var C=0;C<L[_].length;C++)for(var M=L[_][C],p=1;p<M.length;p+=2){var P=M[p],T=M[p+1];b=Math.min(b,P),g=Math.max(g,P),E=Math.min(E,T),k=Math.max(k,T)}}else{var F=G3.getFromId(t,n.xref),q=n.x0shift,V=n.x1shift,H=G3.getRefType(n.xref),X=G3.getFromId(t,n.yref),G=n.y0shift,N=n.y1shift,W=G3.getRefType(n.yref),re=function(Ee,Ae){var ze=HB.getDataToPixel(t,F,Ae,!1,H);return ze(Ee)},ae=function(Ee,Ae){var ze=HB.getDataToPixel(t,X,Ae,!0,W);return ze(Ee)};b=re(n.x0,q),g=re(n.x1,V),E=ae(n.y0,G),k=ae(n.y1,N)}var _e=n.label.textangle;_e===\"auto\"&&(n.type===\"line\"?_e=Olt(b,E,g,k):_e=0),x.call(function(Ee){return Ee.call(vue.font,h).attr({}),due.convertToTspans(Ee,t),Ee});var Me=vue.bBox(x.node()),ke=Blt(b,E,g,k,n,_e,Me),ge=ke.textx,ie=ke.texty,Te=ke.xanchor;x.attr({\"text-anchor\":{left:\"start\",center:\"middle\",right:\"end\"}[Te],y:ie,x:ge,transform:\"rotate(\"+_e+\",\"+ge+\",\"+ie+\")\"}).call(due.positionText,ge,ie)}};function Olt(e,t,r,n){var i,a;return a=Math.abs(r-e),r>=e?i=t-n:i=n-t,-180/Math.PI*Math.atan2(i,a)}function Blt(e,t,r,n,i,a,o){var s=i.label.textposition,l=i.label.textangle,u=i.label.padding,c=i.type,f=Math.PI/180*a,h=Math.sin(f),d=Math.cos(f),v=i.label.xanchor,x=i.label.yanchor,b,g,E,k;if(c===\"line\"){s===\"start\"?(b=e,g=t):s===\"end\"?(b=r,g=n):(b=(e+r)/2,g=(t+n)/2),v===\"auto\"&&(s===\"start\"?l===\"auto\"?r>e?v=\"left\":r<e?v=\"right\":v=\"center\":r>e?v=\"right\":r<e?v=\"left\":v=\"center\":s===\"end\"?l===\"auto\"?r>e?v=\"right\":r<e?v=\"left\":v=\"center\":r>e?v=\"left\":r<e?v=\"right\":v=\"center\":v=\"center\");var A={left:1,center:0,right:-1},L={bottom:-1,middle:0,top:1};if(l===\"auto\"){var _=L[x];E=-u*h*_,k=u*d*_}else{var C=A[v],M=L[x];E=u*C,k=u*M}b=b+E,g=g+k}else E=u+3,s.indexOf(\"right\")!==-1?(b=Math.max(e,r)-E,v===\"auto\"&&(v=\"right\")):s.indexOf(\"left\")!==-1?(b=Math.min(e,r)+E,v===\"auto\"&&(v=\"left\")):(b=(e+r)/2,v===\"auto\"&&(v=\"center\")),s.indexOf(\"top\")!==-1?g=Math.min(t,n):s.indexOf(\"bottom\")!==-1?g=Math.max(t,n):g=(t+n)/2,k=u,x===\"bottom\"?g=g-k:x===\"top\"&&(g=g+k);var p=qlt[x],P=i.label.font.size,T=o.height,F=(T*p-P)*h,q=-(T*p-P)*d;return{textx:b+F,texty:g+q,xanchor:v}}});var JL=ye((iir,Aue)=>{\"use strict\";var Nlt=Mr(),Ult=Nlt.strTranslate,mue=gv(),xue=Sg(),Vlt=xue.drawMode,bue=xue.selectMode,wue=ba(),yue=va(),KL=VL(),Hlt=KL.i000,Glt=KL.i090,jlt=KL.i180,Wlt=KL.i270,Zlt=Q1(),Tue=Zlt.clearOutlineControllers,WB=u_(),YL=WB.pointsOnRectangle,jB=WB.pointsOnEllipse,Xlt=WB.writePaths,Ylt=ZL().newShapes,Klt=ZL().createShapeObj,Jlt=VB(),$lt=GB();Aue.exports=function e(t,r,n,i){i||(i=0);var a=n.gd;function o(){e(t,r,n,i++),(jB(t[0])||n.hasText)&&s({redrawing:!0})}function s(G){var N={};n.isActiveShape!==void 0&&(n.isActiveShape=!1,N=Ylt(r,n)),n.isActiveSelection!==void 0&&(n.isActiveSelection=!1,N=Jlt(r,n),a._fullLayout._reselect=!0),Object.keys(N).length&&wue.call((G||{}).redrawing?\"relayout\":\"_guiRelayout\",a,N)}var l=a._fullLayout,u=l._zoomlayer,c=n.dragmode,f=Vlt(c),h=bue(c);(f||h)&&(a._fullLayout._outlining=!0),Tue(a),r.attr(\"d\",Xlt(t));var d,v,x,b,g;if(!i&&(n.isActiveShape||n.isActiveSelection)){g=Qlt([],t);var E=u.append(\"g\").attr(\"class\",\"outline-controllers\");P(E),X()}if(f&&n.hasText){var k=u.select(\".label-temp\"),A=Klt(r,n,n.dragmode);$lt(a,\"label-temp\",A,k)}function L(G){x=+G.srcElement.getAttribute(\"data-i\"),b=+G.srcElement.getAttribute(\"data-j\"),d[x][b].moveFn=_}function _(G,N){if(t.length){var W=g[x][b][1],re=g[x][b][2],ae=t[x],_e=ae.length;if(YL(ae)){var Me=G,ke=N;if(n.isActiveSelection){var ge=_ue(ae,b);ge[1]===ae[b][1]?ke=0:Me=0}for(var ie=0;ie<_e;ie++)if(ie!==b){var Te=ae[ie];Te[1]===ae[b][1]&&(Te[1]=W+Me),Te[2]===ae[b][2]&&(Te[2]=re+ke)}if(ae[b][1]=W+Me,ae[b][2]=re+ke,!YL(ae))for(var Ee=0;Ee<_e;Ee++)for(var Ae=0;Ae<ae[Ee].length;Ae++)ae[Ee][Ae]=g[x][Ee][Ae]}else ae[b][1]=W+G,ae[b][2]=re+N;o()}}function C(){s()}function M(){if(t.length&&t[x]&&t[x].length){for(var G=[],N=0;N<t[x].length;N++)N!==b&&G.push(t[x][N]);G.length>1&&!(G.length===2&&G[1][0]===\"Z\")&&(b===0&&(G[0][0]=\"M\"),t[x]=G,o(),s())}}function p(G,N){if(G===2){x=+N.srcElement.getAttribute(\"data-i\"),b=+N.srcElement.getAttribute(\"data-j\");var W=t[x];!YL(W)&&!jB(W)&&M()}}function P(G){d=[];for(var N=0;N<t.length;N++){var W=t[N],re=YL(W),ae=!re&&jB(W);d[N]=[];for(var _e=W.length,Me=0;Me<_e;Me++)if(W[Me][0]!==\"Z\"&&!(ae&&Me!==Hlt&&Me!==Glt&&Me!==jlt&&Me!==Wlt)){var ke=re&&n.isActiveSelection,ge;ke&&(ge=_ue(W,Me));var ie=W[Me][1],Te=W[Me][2],Ee=G.append(ke?\"rect\":\"circle\").attr(\"data-i\",N).attr(\"data-j\",Me).style({fill:yue.background,stroke:yue.defaultLine,\"stroke-width\":1,\"shape-rendering\":\"crispEdges\"});if(ke){var Ae=ge[1]-ie,ze=ge[2]-Te,Ce=ze?5:Math.max(Math.min(25,Math.abs(Ae)-5),5),me=Ae?5:Math.max(Math.min(25,Math.abs(ze)-5),5);Ee.classed(ze?\"cursor-ew-resize\":\"cursor-ns-resize\",!0).attr(\"width\",Ce).attr(\"height\",me).attr(\"x\",ie-Ce/2).attr(\"y\",Te-me/2).attr(\"transform\",Ult(Ae/2,ze/2))}else Ee.classed(\"cursor-grab\",!0).attr(\"r\",5).attr(\"cx\",ie).attr(\"cy\",Te);d[N][Me]={element:Ee.node(),gd:a,prepFn:L,doneFn:C,clickFn:p},mue.init(d[N][Me])}}}function T(G,N){if(t.length)for(var W=0;W<t.length;W++)for(var re=0;re<t[W].length;re++)for(var ae=0;ae+2<t[W][re].length;ae+=2)t[W][re][ae+1]=g[W][re][ae+1]+G,t[W][re][ae+2]=g[W][re][ae+2]+N}function F(G,N){T(G,N),o()}function q(G){x=+G.srcElement.getAttribute(\"data-i\"),x||(x=0),v[x].moveFn=F}function V(){s()}function H(G){G===2&&eut(a)}function X(){if(v=[],!!t.length){var G=0;v[G]={element:r[0][0],gd:a,prepFn:q,doneFn:V,clickFn:H},mue.init(v[G])}}};function Qlt(e,t){for(var r=0;r<t.length;r++){var n=t[r];e[r]=[];for(var i=0;i<n.length;i++){e[r][i]=[];for(var a=0;a<n[i].length;a++)e[r][i][a]=n[i][a]}}return e}function _ue(e,t){var r=e[t][1],n=e[t][2],i=e.length,a,o,s;return a=(t+1)%i,o=e[a][1],s=e[a][2],o===r&&s===n&&(a=(t+2)%i,o=e[a][1],s=e[a][2]),[a,o,s]}function eut(e){if(bue(e._fullLayout.dragmode)){Tue(e);var t=e._fullLayout._activeSelectionIndex,r=(e.layout||{}).selections||[];if(t<r.length){for(var n=[],i=0;i<r.length;i++)i!==t&&n.push(r[i]);delete e._fullLayout._activeSelectionIndex;var a=e._fullLayout.selections[t];e._fullLayout._deselect={xref:a.xref,yref:a.yref},wue.call(\"_guiRelayout\",e,{selections:n})}}}});var tP=ye((nir,Due)=>{\"use strict\";var tut=xa(),Lue=ba(),Sue=Mr(),j3=Qa(),rut=u_().readPaths,iut=JL(),QL=GB(),Pue=Q1().clearOutlineControllers,ZB=va(),YB=ao(),nut=Vs().arrayEditor,Mue=gv(),Eue=Tg(),qb=cM(),Mp=f_(),XB=Mp.getPathString;Due.exports={draw:KB,drawOne:Iue,eraseActiveShape:sut,drawLabel:QL};function KB(e){var t=e._fullLayout;t._shapeUpperLayer.selectAll(\"path\").remove(),t._shapeLowerLayer.selectAll(\"path\").remove(),t._shapeUpperLayer.selectAll(\"text\").remove(),t._shapeLowerLayer.selectAll(\"text\").remove();for(var r in t._plots){var n=t._plots[r].shapelayer;n&&(n.selectAll(\"path\").remove(),n.selectAll(\"text\").remove())}for(var i=0;i<t.shapes.length;i++)t.shapes[i].visible===!0&&Iue(e,i)}function $L(e){return!!e._fullLayout._outlining}function eP(e){return!e._context.edits.shapePosition}function Iue(e,t){e._fullLayout._paperdiv.selectAll('.shapelayer [data-index=\"'+t+'\"]').remove();var r=Mp.makeShapesOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input||n.visible!==!0)return;if(n.layer===\"above\")o(e._fullLayout._shapeUpperLayer);else if(n.xref===\"paper\"||n.yref===\"paper\")o(e._fullLayout._shapeLowerLayer);else if(n.layer===\"between\")o(i.shapelayerBetween);else if(i._hadPlotinfo){var a=i.mainplotinfo||i;o(a.shapelayer)}else 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e._context.edits.shapePosition?aut(e,E,n,t,s,k):n.editable===!0&&E.style(\"pointer-events\",x||ZB.opacity(f)*c<=.5?\"stroke\":\"all\");E.node().addEventListener(\"click\",function(){return out(e,E)})}}function Rue(e,t,r){var n=(r.xref+r.yref).replace(/paper/g,\"\").replace(/[xyz][1-9]* *domain/g,\"\");YB.setClipUrl(e,n?\"clip\"+t._fullLayout._uid+n:null,t)}function aut(e,t,r,n,i,a){var o=10,s=10,l=r.xsizemode===\"pixel\",u=r.ysizemode===\"pixel\",c=r.type===\"line\",f=r.type===\"path\",h=a.modifyItem,d,v,x,b,g,E,k,A,L,_,C,M,p,P,T,F=tut.select(t.node().parentNode),q=j3.getFromId(e,r.xref),V=j3.getRefType(r.xref),H=j3.getFromId(e,r.yref),X=j3.getRefType(r.yref),G=r.x0shift,N=r.x1shift,W=r.y0shift,re=r.y1shift,ae=function(rt,ot){var Rt=Mp.getDataToPixel(e,q,ot,!1,V);return Rt(rt)},_e=function(rt,ot){var Rt=Mp.getDataToPixel(e,H,ot,!0,X);return Rt(rt)},Me=Mp.getPixelToData(e,q,!1,V),ke=Mp.getPixelToData(e,H,!0,X),ge=Ee(),ie={element:ge.node(),gd:e,prepFn:Ce,doneFn:me,clickFn:Re},Te;Mue.init(ie),ge.node().onmousemove=ze;function Ee(){return c?Ae():t}function Ae(){var rt=10,ot=Math.max(r.line.width,rt),Rt=i.append(\"g\").attr(\"data-index\",n).attr(\"drag-helper\",!0);Rt.append(\"path\").attr(\"d\",t.attr(\"d\")).style({cursor:\"move\",\"stroke-width\":ot,\"stroke-opacity\":\"0\"});var kt={\"fill-opacity\":\"0\"},Ct=Math.max(ot/2,rt);return Rt.append(\"circle\").attr({\"data-line-point\":\"start-point\",cx:l?ae(r.xanchor)+r.x0:ae(r.x0,G),cy:u?_e(r.yanchor)-r.y0:_e(r.y0,W),r:Ct}).style(kt).classed(\"cursor-grab\",!0),Rt.append(\"circle\").attr({\"data-line-point\":\"end-point\",cx:l?ae(r.xanchor)+r.x1:ae(r.x1,N),cy:u?_e(r.yanchor)-r.y1:_e(r.y1,re),r:Ct}).style(kt).classed(\"cursor-grab\",!0),Rt}function ze(rt){if($L(e)){Te=null;return}if(c)rt.target.tagName===\"path\"?Te=\"move\":Te=rt.target.attributes[\"data-line-point\"].value===\"start-point\"?\"resize-over-start-point\":\"resize-over-end-point\";else{var ot=ie.element.getBoundingClientRect(),Rt=ot.right-ot.left,kt=ot.bottom-ot.top,Ct=rt.clientX-ot.left,Yt=rt.clientY-ot.top,xr=!f&&Rt>o&&kt>s&&!rt.shiftKey?Mue.getCursor(Ct/Rt,1-Yt/kt):\"move\";Eue(t,xr),Te=xr.split(\"-\")[0]}}function Ce(rt){$L(e)||(l&&(g=ae(r.xanchor)),u&&(E=_e(r.yanchor)),r.type===\"path\"?T=r.path:(d=l?r.x0:ae(r.x0),v=u?r.y0:_e(r.y0),x=l?r.x1:ae(r.x1),b=u?r.y1:_e(r.y1)),d<x?(L=d,p=\"x0\",_=x,P=\"x1\"):(L=x,p=\"x1\",_=d,P=\"x0\"),!u&&v<b||u&&v>b?(k=v,C=\"y0\",A=b,M=\"y1\"):(k=b,C=\"y1\",A=v,M=\"y0\"),ze(rt),nt(i,r),qt(t,r,e),ie.moveFn=Te===\"move\"?ce:Ge,ie.altKey=rt.altKey)}function me(){$L(e)||(Eue(t),ct(i),Rue(t,e,r),Lue.call(\"_guiRelayout\",e,a.getUpdateObj()))}function Re(){$L(e)||ct(i)}function ce(rt,ot){if(r.type===\"path\"){var Rt=function(Yt){return Yt},kt=Rt,Ct=Rt;l?h(\"xanchor\",r.xanchor=Me(g+rt)):(kt=function(xr){return Me(ae(xr)+rt)},q&&q.type===\"date\"&&(kt=Mp.encodeDate(kt))),u?h(\"yanchor\",r.yanchor=ke(E+ot)):(Ct=function(xr){return ke(_e(xr)+ot)},H&&H.type===\"date\"&&(Ct=Mp.encodeDate(Ct))),h(\"path\",r.path=kue(T,kt,Ct))}else l?h(\"xanchor\",r.xanchor=Me(g+rt)):(h(\"x0\",r.x0=Me(d+rt)),h(\"x1\",r.x1=Me(x+rt))),u?h(\"yanchor\",r.yanchor=ke(E+ot)):(h(\"y0\",r.y0=ke(v+ot)),h(\"y1\",r.y1=ke(b+ot)));t.attr(\"d\",XB(e,r)),nt(i,r),QL(e,n,r,F)}function Ge(rt,ot){if(f){var Rt=function(_r){return _r},kt=Rt,Ct=Rt;l?h(\"xanchor\",r.xanchor=Me(g+rt)):(kt=function(Br){return Me(ae(Br)+rt)},q&&q.type===\"date\"&&(kt=Mp.encodeDate(kt))),u?h(\"yanchor\",r.yanchor=ke(E+ot)):(Ct=function(Br){return ke(_e(Br)+ot)},H&&H.type===\"date\"&&(Ct=Mp.encodeDate(Ct))),h(\"path\",r.path=kue(T,kt,Ct))}else if(c){if(Te===\"resize-over-start-point\"){var Yt=d+rt,xr=u?v-ot:v+ot;h(\"x0\",r.x0=l?Yt:Me(Yt)),h(\"y0\",r.y0=u?xr:ke(xr))}else if(Te===\"resize-over-end-point\"){var er=x+rt,Ke=u?b-ot:b+ot;h(\"x1\",r.x1=l?er:Me(er)),h(\"y1\",r.y1=u?Ke:ke(Ke))}}else{var xt=function(_r){return Te.indexOf(_r)!==-1},bt=xt(\"n\"),Lt=xt(\"s\"),St=xt(\"w\"),Et=xt(\"e\"),dt=bt?k+ot:k,Ht=Lt?A+ot:A,$t=St?L+rt:L,fr=Et?_+rt:_;u&&(bt&&(dt=k-ot),Lt&&(Ht=A-ot)),(!u&&Ht-dt>s||u&&dt-Ht>s)&&(h(C,r[C]=u?dt:ke(dt)),h(M,r[M]=u?Ht:ke(Ht))),fr-$t>o&&(h(p,r[p]=l?$t:Me($t)),h(P,r[P]=l?fr:Me(fr)))}t.attr(\"d\",XB(e,r)),nt(i,r),QL(e,n,r,F)}function nt(rt,ot){(l||u)&&Rt();function Rt(){var kt=ot.type!==\"path\",Ct=rt.selectAll(\".visual-cue\").data([0]),Yt=1;Ct.enter().append(\"path\").attr({fill:\"#fff\",\"fill-rule\":\"evenodd\",stroke:\"#000\",\"stroke-width\":Yt}).classed(\"visual-cue\",!0);var xr=ae(l?ot.xanchor:Sue.midRange(kt?[ot.x0,ot.x1]:Mp.extractPathCoords(ot.path,qb.paramIsX))),er=_e(u?ot.yanchor:Sue.midRange(kt?[ot.y0,ot.y1]:Mp.extractPathCoords(ot.path,qb.paramIsY)));if(xr=Mp.roundPositionForSharpStrokeRendering(xr,Yt),er=Mp.roundPositionForSharpStrokeRendering(er,Yt),l&&u){var Ke=\"M\"+(xr-1-Yt)+\",\"+(er-1-Yt)+\"h-8v2h8 v8h2v-8 h8v-2h-8 v-8h-2 Z\";Ct.attr(\"d\",Ke)}else if(l){var xt=\"M\"+(xr-1-Yt)+\",\"+(er-9-Yt)+\"v18 h2 v-18 Z\";Ct.attr(\"d\",xt)}else{var bt=\"M\"+(xr-9-Yt)+\",\"+(er-1-Yt)+\"h18 v2 h-18 Z\";Ct.attr(\"d\",bt)}}}function ct(rt){rt.selectAll(\".visual-cue\").remove()}function qt(rt,ot,Rt){var kt=ot.xref,Ct=ot.yref,Yt=j3.getFromId(Rt,kt),xr=j3.getFromId(Rt,Ct),er=\"\";kt!==\"paper\"&&!Yt.autorange&&(er+=kt),Ct!==\"paper\"&&!xr.autorange&&(er+=Ct),YB.setClipUrl(rt,er?\"clip\"+Rt._fullLayout._uid+er:null,Rt)}}function kue(e,t,r){return e.replace(qb.segmentRE,function(n){var i=0,a=n.charAt(0),o=qb.paramIsX[a],s=qb.paramIsY[a],l=qb.numParams[a],u=n.substr(1).replace(qb.paramRE,function(c){return i>=l||(o[i]?c=t(c):s[i]&&(c=r(c)),i++),c});return a+u})}function out(e,t){if(eP(e)){var r=t.node(),n=+r.getAttribute(\"data-index\");if(n>=0){if(n===e._fullLayout._activeShapeIndex){Cue(e);return}e._fullLayout._activeShapeIndex=n,e._fullLayout._deactivateShape=Cue,KB(e)}}}function Cue(e){if(eP(e)){var t=e._fullLayout._activeShapeIndex;t>=0&&(Pue(e),delete e._fullLayout._activeShapeIndex,KB(e))}}function sut(e){if(eP(e)){Pue(e);var t=e._fullLayout._activeShapeIndex,r=(e.layout||{}).shapes||[];if(t<r.length){for(var n=[],i=0;i<r.length;i++)i!==t&&n.push(r[i]);return delete e._fullLayout._activeShapeIndex,Lue.call(\"_guiRelayout\",e,{shapes:n})}}}});var QB=ye((air,Hue)=>{\"use strict\";var S0=ba(),zue=Xu(),Fue=af(),al=NL(),lut=tP().eraseActiveShape,rP=Mr(),Os=rP._,ol=Hue.exports={};ol.toImage={name:\"toImage\",title:function(e){var t=e._context.toImageButtonOptions||{},r=t.format||\"png\";return r===\"png\"?Os(e,\"Download plot as a png\"):Os(e,\"Download plot\")},icon:al.camera,click:function(e){var t=e._context.toImageButtonOptions,r={format:t.format||\"png\"};rP.notifier(Os(e,\"Taking snapshot - this may take a few seconds\"),\"long\"),[\"filename\",\"width\",\"height\",\"scale\"].forEach(function(n){n in t&&(r[n]=t[n])}),S0.call(\"downloadImage\",e,r).then(function(n){rP.notifier(Os(e,\"Snapshot succeeded\")+\" - \"+n,\"long\")}).catch(function(){rP.notifier(Os(e,\"Sorry, there was a problem downloading your snapshot!\"),\"long\")})}};ol.sendDataToCloud={name:\"sendDataToCloud\",title:function(e){return Os(e,\"Edit in Chart Studio\")},icon:al.disk,click:function(e){zue.sendDataToCloud(e)}};ol.editInChartStudio={name:\"editInChartStudio\",title:function(e){return Os(e,\"Edit in Chart Studio\")},icon:al.pencil,click:function(e){zue.sendDataToCloud(e)}};ol.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(e){return Os(e,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:al.zoombox,click:Ov};ol.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(e){return Os(e,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:al.pan,click:Ov};ol.select2d={name:\"select2d\",_cat:\"select\",title:function(e){return Os(e,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:al.selectbox,click:Ov};ol.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(e){return Os(e,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:al.lasso,click:Ov};ol.drawclosedpath={name:\"drawclosedpath\",title:function(e){return Os(e,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:al.drawclosedpath,click:Ov};ol.drawopenpath={name:\"drawopenpath\",title:function(e){return Os(e,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:al.drawopenpath,click:Ov};ol.drawline={name:\"drawline\",title:function(e){return Os(e,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:al.drawline,click:Ov};ol.drawrect={name:\"drawrect\",title:function(e){return Os(e,\"Draw rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:al.drawrect,click:Ov};ol.drawcircle={name:\"drawcircle\",title:function(e){return Os(e,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:al.drawcircle,click:Ov};ol.eraseshape={name:\"eraseshape\",title:function(e){return Os(e,\"Erase active shape\")},icon:al.eraseshape,click:lut};ol.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:al.zoom_plus,click:Ov};ol.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(e){return Os(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:al.zoom_minus,click:Ov};ol.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(e){return Os(e,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:al.autoscale,click:Ov};ol.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(e){return Os(e,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:al.home,click:Ov};ol.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:al.tooltip_basic,gravity:\"ne\",click:Ov};ol.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(e){return Os(e,\"Compare data on hover\")},attr:\"hovermode\",val:function(e){return e._fullLayout._isHoriz?\"y\":\"x\"},icon:al.tooltip_compare,gravity:\"ne\",click:Ov};function Ov(e,t){var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o={},s=Fue.list(e,null,!0),l=a._cartesianSpikesEnabled,u,c;if(n===\"zoom\"){var f=i===\"in\"?.5:2,h=(1+f)/2,d=(1-f)/2,v;for(c=0;c<s.length;c++)if(u=s[c],!u.fixedrange)if(v=u._name,i===\"auto\")o[v+\".autorange\"]=!0;else if(i===\"reset\")u._rangeInitial0===void 0&&u._rangeInitial1===void 0?o[v+\".autorange\"]=!0:u._rangeInitial0===void 0?(o[v+\".autorange\"]=u._autorangeInitial,o[v+\".range\"]=[null,u._rangeInitial1]):u._rangeInitial1===void 0?(o[v+\".range\"]=[u._rangeInitial0,null],o[v+\".autorange\"]=u._autorangeInitial):o[v+\".range\"]=[u._rangeInitial0,u._rangeInitial1],u._showSpikeInitial!==void 0&&(o[v+\".showspikes\"]=u._showSpikeInitial,l===\"on\"&&!u._showSpikeInitial&&(l=\"off\"));else{var x=[u.r2l(u.range[0]),u.r2l(u.range[1])],b=[h*x[0]+d*x[1],h*x[1]+d*x[0]];o[v+\".range[0]\"]=u.l2r(b[0]),o[v+\".range[1]\"]=u.l2r(b[1])}}else n===\"hovermode\"&&(i===\"x\"||i===\"y\")&&(i=a._isHoriz?\"y\":\"x\",r.setAttribute(\"data-val\",i)),o[n]=i;a._cartesianSpikesEnabled=l,S0.call(\"_guiRelayout\",e,o)}ol.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(e){return Os(e,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:al.zoombox,click:iP};ol.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(e){return Os(e,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:al.pan,click:iP};ol.orbitRotation={name:\"orbitRotation\",title:function(e){return Os(e,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:al[\"3d_rotate\"],click:iP};ol.tableRotation={name:\"tableRotation\",title:function(e){return Os(e,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:al[\"z-axis\"],click:iP};function iP(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout._subplots.gl3d||[],o={},s=n.split(\".\"),l=0;l<a.length;l++)o[a[l]+\".\"+s[1]]=i;var u=i===\"pan\"?i:\"zoom\";o.dragmode=u,S0.call(\"_guiRelayout\",e,o)}ol.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(e){return Os(e,\"Reset camera to default\")},attr:\"resetDefault\",icon:al.home,click:JB};ol.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(e){return Os(e,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:al.movie,click:JB};function JB(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=n===\"resetLastSave\",a=n===\"resetDefault\",o=e._fullLayout,s=o._subplots.gl3d||[],l={},u=0;u<s.length;u++){var c=s[u],f=c+\".camera\",h=c+\".aspectratio\",d=c+\".aspectmode\",v=o[c]._scene,x;i?(l[f+\".up\"]=v.viewInitial.up,l[f+\".eye\"]=v.viewInitial.eye,l[f+\".center\"]=v.viewInitial.center,x=!0):a&&(l[f+\".up\"]=null,l[f+\".eye\"]=null,l[f+\".center\"]=null,x=!0),x&&(l[h+\".x\"]=v.viewInitial.aspectratio.x,l[h+\".y\"]=v.viewInitial.aspectratio.y,l[h+\".z\"]=v.viewInitial.aspectratio.z,l[d]=v.viewInitial.aspectmode)}S0.call(\"_guiRelayout\",e,l)}ol.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:al.tooltip_basic,gravity:\"ne\",click:uut};function que(e,t){var r=t.currentTarget,n=r._previousVal,i=e._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var d=0;d<3;d++){var v=o[d],x=c+\".\"+v+\".showspikes\";l[x]=!1,s[x]=f[v].showspikes}}r._previousVal=s}return l}function uut(e,t){var r=que(e,t);S0.call(\"_guiRelayout\",e,r)}ol.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:al.zoom_plus,click:$B};ol.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(e){return Os(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:al.zoom_minus,click:$B};ol.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(e){return Os(e,\"Reset\")},attr:\"reset\",val:null,icon:al.autoscale,click:$B};ol.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:al.tooltip_basic,gravity:\"ne\",click:Bue};function $B(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o=a._subplots.geo||[],s=0;s<o.length;s++){var l=o[s],u=a[l];if(n===\"zoom\"){var c=u.projection.scale,f=i===\"in\"?2*c:.5*c;S0.call(\"_guiRelayout\",e,l+\".projection.scale\",f)}}n===\"reset\"&&W3(e,\"geo\")}ol.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:al.tooltip_basic,gravity:\"ne\",click:Bue};function Oue(e){var t=e._fullLayout;return t.hovermode?!1:t._has(\"cartesian\")?t._isHoriz?\"y\":\"x\":\"closest\"}function Bue(e){var t=Oue(e);S0.call(\"_guiRelayout\",e,\"hovermode\",t)}ol.resetViewSankey={name:\"resetSankeyGroup\",title:function(e){return Os(e,\"Reset view\")},icon:al.home,click:function(e){for(var t={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<e._fullData.length;r++){var n=e._fullData[r]._viewInitial;t[\"node.groups\"].push(n.node.groups.slice()),t[\"node.x\"].push(n.node.x.slice()),t[\"node.y\"].push(n.node.y.slice())}S0.call(\"restyle\",e,t)}};ol.toggleHover={name:\"toggleHover\",title:function(e){return Os(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:al.tooltip_basic,gravity:\"ne\",click:function(e,t){var r=que(e,t);r.hovermode=Oue(e),S0.call(\"_guiRelayout\",e,r)}};ol.resetViews={name:\"resetViews\",title:function(e){return Os(e,\"Reset views\")},icon:al.home,click:function(e,t){var r=t.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),Ov(e,t),r.setAttribute(\"data-attr\",\"resetLastSave\"),JB(e,t),W3(e,\"geo\"),W3(e,\"mapbox\"),W3(e,\"map\")}};ol.toggleSpikelines={name:\"toggleSpikelines\",title:function(e){return Os(e,\"Toggle Spike Lines\")},icon:al.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(e){var t=e._fullLayout,r=t._cartesianSpikesEnabled;t._cartesianSpikesEnabled=r===\"on\"?\"off\":\"on\",S0.call(\"_guiRelayout\",e,cut(e))}};function cut(e){for(var t=e._fullLayout,r=t._cartesianSpikesEnabled===\"on\",n=Fue.list(e,null,!0),i={},a=0;a<n.length;a++){var o=n[a];i[o._name+\".showspikes\"]=r?!0:o._showSpikeInitial}return i}ol.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(e){return Os(e,\"Reset view\")},attr:\"reset\",icon:al.home,click:function(e){W3(e,\"mapbox\")}};ol.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(e){return Os(e,\"Reset view\")},attr:\"reset\",icon:al.home,click:function(e){W3(e,\"map\")}};ol.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:al.zoom_plus,click:Nue};ol.zoomInMap={name:\"zoomInMap\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom 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Gue=QB(),fut=Object.keys(Gue),jue=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],Wue=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(jue),Z3=[],hut=function(e){if(Wue.indexOf(e._cat||e.name)===-1){var t=e.name,r=(e._cat||e.name).toLowerCase();Z3.indexOf(t)===-1&&Z3.push(t),Z3.indexOf(r)===-1&&Z3.push(r)}};fut.forEach(function(e){hut(Gue[e])});Z3.sort();Zue.exports={DRAW_MODES:jue,backButtons:Wue,foreButtons:Z3}});var tN=ye((lir,Xue)=>{\"use strict\";var sir=eN();Xue.exports={editType:\"modebar\",orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},add:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"},remove:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"}}});var Kue=ye((uir,Yue)=>{\"use strict\";var dut=Mr(),hM=va(),vut=Vs(),put=tN();Yue.exports=function(t,r){var n=t.modebar||{},i=vut.newContainer(r,\"modebar\");function a(s,l){return dut.coerce(n,i,put,s,l)}a(\"orientation\"),a(\"bgcolor\",hM.addOpacity(r.paper_bgcolor,.5));var o=hM.contrast(hM.rgb(r.modebar.bgcolor));a(\"color\",hM.addOpacity(o,.3)),a(\"activecolor\",hM.addOpacity(o,.7)),a(\"uirevision\",r.uirevision),a(\"add\"),a(\"remove\")}});var ece=ye((cir,Que)=>{\"use strict\";var rN=xa(),gut=uo(),nP=Mr(),Jue=NL(),mut=QC().version,yut=new DOMParser;function $ue(e){this.container=e.container,this.element=document.createElement(\"div\"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var Tm=$ue.prototype;Tm.update=function(e,t){this.graphInfo=e;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",r.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),n.modebar.orientation===\"v\"&&(this.element.className+=\" vertical\",t=t.reverse());var a=n.modebar,o=\"#\"+i+\" .modebar-group\";document.querySelectorAll(o).forEach(function(f){f.style.backgroundColor=a.bgcolor});var s=!this.hasButtons(t),l=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(s||l||u)&&(this.removeAllButtons(),this.updateButtons(t),r.watermark||r.displaylogo)){var c=this.getLogo();r.watermark&&(c.className=c.className+\" watermark\"),n.modebar.orientation===\"v\"?this.element.insertBefore(c,this.element.childNodes[0]):this.element.appendChild(c),this.hasLogo=!0}this.updateActiveButton(),nP.setStyleOnHover(\"#\"+i+\" .modebar-btn\",\".active\",\".icon path\",\"fill: \"+a.activecolor,\"fill: \"+a.color,this.element)};Tm.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(r){var n=t.createGroup();r.forEach(function(i){var a=i.name;if(!a)throw new Error(\"must provide button 'name' in button config\");if(t.buttonsNames.indexOf(a)!==-1)throw new Error(\"button name '\"+a+\"' is taken\");t.buttonsNames.push(a);var o=t.createButton(i);t.buttonElements.push(o),n.appendChild(o)}),t.element.appendChild(n)})};Tm.createGroup=function(){var e=document.createElement(\"div\");e.className=\"modebar-group\";var t=this.graphInfo._fullLayout.modebar;return e.style.backgroundColor=t.bgcolor,e};Tm.createButton=function(e){var t=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var n=e.title;n===void 0?n=e.name:typeof n==\"function\"&&(n=n(this.graphInfo)),(n||n===0)&&r.setAttribute(\"data-title\",n),e.attr!==void 0&&r.setAttribute(\"data-attr\",e.attr);var i=e.val;i!==void 0&&(typeof i==\"function\"&&(i=i(this.graphInfo)),r.setAttribute(\"data-val\",i));var a=e.click;if(typeof a!=\"function\")throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",function(s){e.click(t.graphInfo,s),t.updateActiveButton(s.currentTarget)}),r.setAttribute(\"data-toggle\",e.toggle||!1),e.toggle&&rN.select(r).classed(\"active\",!0);var o=e.icon;return typeof o==\"function\"?r.appendChild(o()):r.appendChild(this.createIcon(o||Jue.question)),r.setAttribute(\"data-gravity\",e.gravity||\"n\"),r};Tm.createIcon=function(e){var t=gut(e.height)?Number(e.height):e.ascent-e.descent,r=\"http://www.w3.org/2000/svg\",n;if(e.path){n=document.createElementNS(r,\"svg\"),n.setAttribute(\"viewBox\",[0,0,e.width,t].join(\" \")),n.setAttribute(\"class\",\"icon\");var i=document.createElementNS(r,\"path\");i.setAttribute(\"d\",e.path),e.transform?i.setAttribute(\"transform\",e.transform):e.ascent!==void 0&&i.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+e.ascent+\")\"),n.appendChild(i)}if(e.svg){var a=yut.parseFromString(e.svg,\"application/xml\");n=a.childNodes[0]}return n.setAttribute(\"height\",\"1em\"),n.setAttribute(\"width\",\"1em\"),n};Tm.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,r=e!==void 0?e.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(n){var i=n.getAttribute(\"data-val\")||!0,a=n.getAttribute(\"data-attr\"),o=n.getAttribute(\"data-toggle\")===\"true\",s=rN.select(n),l=function(f,h){var d=t.modebar,v=f.querySelector(\".icon path\");v&&(h||f.matches(\":hover\")?v.style.fill=d.activecolor:v.style.fill=d.color)};if(o){if(a===r){var u=!s.classed(\"active\");s.classed(\"active\",u),l(n,u)}}else{var c=a===null?a:nP.nestedProperty(t,a).get();s.classed(\"active\",c===i),l(n,c===i)}})};Tm.hasButtons=function(e){var t=this.buttons;if(!t||e.length!==t.length)return!1;for(var r=0;r<e.length;++r){if(e[r].length!==t[r].length)return!1;for(var n=0;n<e[r].length;n++)if(e[r][n].name!==t[r][n].name)return!1}return!0};function _ut(e){return e+\" (v\"+mut+\")\"}Tm.getLogo=function(){var e=this.createGroup(),t=document.createElement(\"a\");return t.href=\"https://plotly.com/\",t.target=\"_blank\",t.setAttribute(\"data-title\",_ut(nP._(this.graphInfo,\"Produced with Plotly.js\"))),t.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",t.appendChild(this.createIcon(Jue.newplotlylogo)),e.appendChild(t),e};Tm.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1};Tm.destroy=function(){nP.removeElement(this.container.querySelector(\".modebar\"))};function xut(e,t){var r=e._fullLayout,n=new $ue({graphInfo:e,container:r._modebardiv.node(),buttons:t});return r._privateplot&&rN.select(n.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),n}Que.exports=xut});var ice=ye((fir,rce)=>{\"use strict\";var but=af(),tce=lu(),iN=ba(),wut=rp().isUnifiedHover,Tut=ece(),aP=QB(),Aut=eN().DRAW_MODES,Sut=Mr().extendDeep;rce.exports=function(t){var r=t._fullLayout,n=t._context,i=r._modeBar;if(!n.displayModeBar&&!n.watermark){i&&(i.destroy(),delete r._modeBar);return}if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" 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W=0;W<n.modeBarButtonsToAdd.length;W++)if(i(N,n.modeBarButtonsToAdd[W]))return!1;return!0})),u=t._has(\"cartesian\"),c=t._has(\"gl3d\"),f=t._has(\"geo\"),h=t._has(\"pie\"),d=t._has(\"funnelarea\"),v=t._has(\"ternary\"),x=t._has(\"mapbox\"),b=t._has(\"map\"),g=t._has(\"polar\"),E=t._has(\"smith\"),k=t._has(\"sankey\"),A=Eut(t),L=wut(t.hovermode),_=[];function C(N){if(N.length){for(var W=[],re=0;re<N.length;re++){for(var ae=N[re],_e=aP[ae],Me=_e.name.toLowerCase(),ke=(_e._cat||_e.name).toLowerCase(),ge=!1,ie=0;ie<l.length;ie++){var Te=l[ie].toLowerCase();if(Te===Me||Te===ke){ge=!0;break}}ge||W.push(aP[ae])}_.push(W)}}var M=[\"toImage\"];n.showEditInChartStudio?M.push(\"editInChartStudio\"):n.showSendToCloud&&M.push(\"sendDataToCloud\"),C(M);var 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d=s.node().getBBox(),v=d.y+d.height,x=v+cce.SUBTITLE_PADDING_EM*t.subtitle.font.size;h.attr({x:o,y:x,\"text-anchor\":n,dy:vce(t.yanchor)}).call(uN.positionText,o,x)}}}};function jut(e,t,r,n,i){var a=t.yref===\"paper\"?e._fullLayout._size.h:e._fullLayout.height,o=M0.isTopAnchor(t)?n:n-i,s=r===\"b\"?a-o:o;return M0.isTopAnchor(t)&&r===\"t\"||M0.isBottomAnchor(t)&&r===\"b\"?!1:s<i}function Wut(e,t,r,n,i){var a=0;return r===\"middle\"&&(a+=i/2),e===\"t\"?(r===\"top\"&&(a+=i),a+=n-t*n):(r===\"bottom\"&&(a+=i),a+=t*n),a}function Zut(e,t,r){var n=t.y,i=t.yanchor,a=n>.5?\"t\":\"b\",o=e._fullLayout.margin[a],s=0;return t.yref===\"paper\"?s=r+t.pad.t+t.pad.b:t.yref===\"container\"&&(s=Wut(a,n,i,e._fullLayout.height,r)+t.pad.t+t.pad.b),s>o?s:0}function Xut(e,t,r,n){var i=\"title.automargin\",a=e._fullLayout.title,o=a.y>.5?\"t\":\"b\",s={x:a.x,y:a.y,t:0,b:0},l={};a.yref===\"paper\"&&jut(e,a,o,t,n)?s[o]=r:a.yref===\"container\"&&(l[o]=r,e._fullLayout._reservedMargin[i]=l),Jp.allowAutoMargin(e,i),Jp.autoMargin(e,i,s)}function Yut(e,t){var r=e.title,n=e._size,i=0;switch(t===mce?i=r.pad.l:t===yce&&(i=-r.pad.r),r.xref){case\"paper\":return n.l+n.w*r.x+i;case\"container\":default:return e.width*r.x+i}}function Kut(e,t){var r=e.title,n=e._size,i=0;if(t===\"0em\"||!t?i=-r.pad.b:t===ky.CAP_SHIFT+\"em\"&&(i=r.pad.t),r.y===\"auto\")return n.t/2;switch(r.yref){case\"paper\":return n.t+n.h-n.h*r.y+i;case\"container\":default:return e.height-e.height*r.y+i}}function vce(e){return e===\"top\"?ky.CAP_SHIFT+.3+\"em\":e===\"bottom\"?\"-0.3em\":ky.MID_SHIFT+\"em\"}function Jut(e){var t=e.title,r=Uut;return M0.isRightAnchor(t)?r=yce:M0.isLeftAnchor(t)&&(r=mce),r}function $ut(e){var t=e.title,r=\"0em\";return M0.isTopAnchor(t)?r=ky.CAP_SHIFT+\"em\":M0.isMiddleAnchor(t)&&(r=ky.MID_SHIFT+\"em\"),r}ld.doTraceStyle=function(e){var t=e.calcdata,r=[],n;for(n=0;n<t.length;n++){var i=t[n],a=i[0]||{},o=a.trace||{},s=o._module||{},l=s.arraysToCalcdata;l&&l(i,o);var u=s.editStyle;u&&r.push({fn:u,cd0:a})}if(r.length){for(n=0;n<r.length;n++){var c=r[n];c.fn(e,c.cd0)}cN(e),ld.redrawReglTraces(e)}return Jp.style(e),Bv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};ld.doColorBars=function(e){return Bv.getComponentMethod(\"colorbar\",\"draw\")(e),Jp.previousPromises(e)};ld.layoutReplot=function(e){var t=e.layout;return e.layout=void 0,Bv.call(\"_doPlot\",e,\"\",t)};ld.doLegend=function(e){return Bv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};ld.doTicksRelayout=function(e){return pM.draw(e,\"redraw\"),e._fullLayout._hasOnlyLargeSploms&&(Bv.subplotsRegistry.splom.updateGrid(e),cN(e),ld.redrawReglTraces(e)),ld.drawMainTitle(e),Jp.previousPromises(e)};ld.doModeBar=function(e){var t=e._fullLayout;pce.manage(e);for(var r=0;r<t._basePlotModules.length;r++){var n=t._basePlotModules[r].updateFx;n&&n(e)}return Jp.previousPromises(e)};ld.doCamera=function(e){for(var t=e._fullLayout,r=t._subplots.gl3d,n=0;n<r.length;n++){var i=t[r[n]],a=i._scene;a.setViewport(i)}};ld.drawData=function(e){var t=e._fullLayout;cN(e);for(var r=t._basePlotModules,n=0;n<r.length;n++)r[n].plot(e);return ld.redrawReglTraces(e),Jp.style(e),Bv.getComponentMethod(\"selections\",\"draw\")(e),Bv.getComponentMethod(\"shapes\",\"draw\")(e),Bv.getComponentMethod(\"annotations\",\"draw\")(e),Bv.getComponentMethod(\"images\",\"draw\")(e),t._replotting=!1,Jp.previousPromises(e)};ld.redrawReglTraces=function(e){var t=e._fullLayout;if(t._has(\"regl\")){var r=e._fullData,n=[],i=[],a,o;for(t._hasOnlyLargeSploms&&t._splomGrid.draw(),a=0;a<r.length;a++){var s=r[a];s.visible===!0&&s._length!==0&&(s.type===\"splom\"?t._splomScenes[s.uid].draw():s.type===\"scattergl\"?M0.pushUnique(n,s.xaxis+s.yaxis):s.type===\"scatterpolargl\"&&M0.pushUnique(i,s.subplot))}for(a=0;a<n.length;a++)o=t._plots[n[a]],o._scene&&o._scene.draw();for(a=0;a<i.length;a++)o=t[i[a]]._subplot,o._scene&&o._scene.draw()}};ld.doAutoRangeAndConstraints=function(e){for(var t=pM.list(e,\"\",!0),r,n={},i=0;i<t.length;i++)if(r=t[i],!n[r._id]){n[r._id]=1,Nut(e,r),fce(e,r);var a=r._matchGroup;if(a)for(var o in a){var s=pM.getFromId(e,o);fce(e,s,r.range),n[o]=1}}But(e)};ld.finalDraw=function(e){Bv.getComponentMethod(\"rangeslider\",\"draw\")(e),Bv.getComponentMethod(\"rangeselector\",\"draw\")(e)};ld.drawMarginPushers=function(e){Bv.getComponentMethod(\"legend\",\"draw\")(e),Bv.getComponentMethod(\"rangeselector\",\"draw\")(e),Bv.getComponentMethod(\"sliders\",\"draw\")(e),Bv.getComponentMethod(\"updatemenus\",\"draw\")(e),Bv.getComponentMethod(\"colorbar\",\"draw\")(e)}});var dN=ye((gir,Tce)=>{\"use strict\";var Qut=u_().readPaths,ect=JL(),_ce=Q1().clearOutlineControllers,fN=va(),xce=ao(),tct=Vs().arrayEditor,bce=f_(),rct=bce.getPathString;Tce.exports={draw:lP,drawOne:wce,activateLastSelection:act};function lP(e){var t=e._fullLayout;_ce(e),t._selectionLayer.selectAll(\"path\").remove();for(var r in t._plots){var n=t._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<t.selections.length;i++)wce(e,i)}function uP(e){return e._context.editSelection}function wce(e,t){e._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+t+'\"]').remove();var r=bce.makeSelectionsOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input)return;a(e._fullLayout._selectionLayer);function a(o){var s=rct(e,n),l={\"data-index\":t,\"fill-rule\":\"evenodd\",d:s},u=n.opacity,c=\"rgba(0,0,0,0)\",f=n.line.color||fN.contrast(e._fullLayout.plot_bgcolor),h=n.line.width,d=n.line.dash;h||(h=5,d=\"solid\");var v=uP(e)&&e._fullLayout._activeSelectionIndex===t;v&&(c=e._fullLayout.activeselection.fillcolor,u=e._fullLayout.activeselection.opacity);for(var x=[],b=1;b>=0;b--){var g=o.append(\"path\").attr(l).style(\"opacity\",b?.1:u).call(fN.stroke,f).call(fN.fill,c).call(xce.dashLine,b?\"solid\":d,b?4+h:h);if(ict(g,e,n),v){var E=tct(e.layout,\"selections\",n);g.style({cursor:\"move\"});var k={element:g.node(),plotinfo:i,gd:e,editHelpers:E,isActiveSelection:!0},A=Qut(s,e);ect(A,g,k)}else g.style(\"pointer-events\",b?\"all\":\"none\");x[b]=g}var L=x[0],_=x[1];_.node().addEventListener(\"click\",function(){return nct(e,L)})}}function ict(e,t,r){var n=r.xref+r.yref;xce.setClipUrl(e,\"clip\"+t._fullLayout._uid+n,t)}function nct(e,t){if(uP(e)){var r=t.node(),n=+r.getAttribute(\"data-index\");if(n>=0){if(n===e._fullLayout._activeSelectionIndex){hN(e);return}e._fullLayout._activeSelectionIndex=n,e._fullLayout._deactivateSelection=hN,lP(e)}}}function act(e){if(uP(e)){var t=e._fullLayout.selections.length-1;e._fullLayout._activeSelectionIndex=t,e._fullLayout._deactivateSelection=hN,lP(e)}}function hN(e){if(uP(e)){var t=e._fullLayout._activeSelectionIndex;t>=0&&(_ce(e),delete e._fullLayout._activeSelectionIndex,lP(e))}}});var Sce=ye((mir,Ace)=>{function oct(){var e,t=0,r=!1;function n(i,a){return e.list.push({type:i,data:a?JSON.parse(JSON.stringify(a)):void 0}),e}return e={list:[],segmentId:function(){return t++},checkIntersection:function(i,a){return n(\"check\",{seg1:i,seg2:a})},segmentChop:function(i,a){return n(\"div_seg\",{seg:i,pt:a}),n(\"chop\",{seg:i,pt:a})},statusRemove:function(i){return n(\"pop_seg\",{seg:i})},segmentUpdate:function(i){return n(\"seg_update\",{seg:i})},segmentNew:function(i,a){return n(\"new_seg\",{seg:i,primary:a})},segmentRemove:function(i){return n(\"rem_seg\",{seg:i})},tempStatus:function(i,a,o){return n(\"temp_status\",{seg:i,above:a,below:o})},rewind:function(i){return n(\"rewind\",{seg:i})},status:function(i,a,o){return n(\"status\",{seg:i,above:a,below:o})},vert:function(i){return i===r?e:(r=i,n(\"vert\",{x:i}))},log:function(i){return typeof i!=\"string\"&&(i=JSON.stringify(i,!1,\"  \")),n(\"log\",{txt:i})},reset:function(){return n(\"reset\")},selected:function(i){return n(\"selected\",{segs:i})},chainStart:function(i){return n(\"chain_start\",{seg:i})},chainRemoveHead:function(i,a){return n(\"chain_rem_head\",{index:i,pt:a})},chainRemoveTail:function(i,a){return n(\"chain_rem_tail\",{index:i,pt:a})},chainNew:function(i,a){return n(\"chain_new\",{pt1:i,pt2:a})},chainMatch:function(i){return n(\"chain_match\",{index:i})},chainClose:function(i){return n(\"chain_close\",{index:i})},chainAddHead:function(i,a){return n(\"chain_add_head\",{index:i,pt:a})},chainAddTail:function(i,a){return n(\"chain_add_tail\",{index:i,pt:a})},chainConnect:function(i,a){return n(\"chain_con\",{index1:i,index2:a})},chainReverse:function(i){return n(\"chain_rev\",{index:i})},chainJoin:function(i,a){return n(\"chain_join\",{index1:i,index2:a})},done:function(){return n(\"done\")}},e}Ace.exports=oct});var Ece=ye((yir,Mce)=>{function sct(e){typeof e!=\"number\"&&(e=1e-10);var t={epsilon:function(r){return typeof r==\"number\"&&(e=r),e},pointAboveOrOnLine:function(r,n,i){var a=n[0],o=n[1],s=i[0],l=i[1],u=r[0],c=r[1];return(s-a)*(c-o)-(l-o)*(u-a)>=-e},pointBetween:function(r,n,i){var a=r[1]-n[1],o=i[0]-n[0],s=r[0]-n[0],l=i[1]-n[1],u=s*o+a*l;if(u<e)return!1;var c=o*o+l*l;return!(u-c>-e)},pointsSameX:function(r,n){return 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Cce=ye((_ir,kce)=>{var lct={create:function(){var e={root:{root:!0,next:null},exists:function(t){return!(t===null||t===e.root)},isEmpty:function(){return e.root.next===null},getHead:function(){return e.root.next},insertBefore:function(t,r){for(var n=e.root,i=e.root.next;i!==null;){if(r(i)){t.prev=i.prev,t.next=i,i.prev.next=t,i.prev=t;return}n=i,i=i.next}n.next=t,t.prev=n,t.next=null},findTransition:function(t){for(var r=e.root,n=e.root.next;n!==null&&!t(n);)r=n,n=n.next;return{before:r===e.root?null:r,after:n,insert:function(i){return i.prev=r,i.next=n,r.next=i,n!==null&&(n.prev=i),i}}}};return e},node:function(e){return e.prev=null,e.next=null,e.remove=function(){e.prev.next=e.next,e.next&&(e.next.prev=e.prev),e.prev=null,e.next=null},e}};kce.exports=lct});var Pce=ye((xir,Lce)=>{var mM=Cce();function uct(e,t,r){function n(v,x){return{id:r?r.segmentId():-1,start:v,end:x,myFill:{above:null,below:null},otherFill:null}}function 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t.pointsCollinear(G,W,re)?t.pointsCollinear(N,W,re)||t.pointAboveOrOnLine(N,W,re)?1:-1:t.pointAboveOrOnLine(G,W,re)?1:-1}function E(H){return b.findTransition(function(X){var G=g(H,X.ev);return G>0})}function k(H,X){var G=H.seg,N=X.seg,W=G.start,re=G.end,ae=N.start,_e=N.end;r&&r.checkIntersection(G,N);var Me=t.linesIntersect(W,re,ae,_e);if(Me===!1){if(!t.pointsCollinear(W,re,ae)||t.pointsSame(W,_e)||t.pointsSame(re,ae))return!1;var ke=t.pointsSame(W,ae),ge=t.pointsSame(re,_e);if(ke&&ge)return X;var ie=!ke&&t.pointBetween(W,ae,_e),Te=!ge&&t.pointBetween(re,ae,_e);if(ke)return Te?h(X,re):h(H,_e),X;ie&&(ge||(Te?h(X,re):h(H,_e)),h(X,W))}else Me.alongA===0&&(Me.alongB===-1?h(H,ae):Me.alongB===0?h(H,Me.pt):Me.alongB===1&&h(H,_e)),Me.alongB===0&&(Me.alongA===-1?h(X,W):Me.alongA===0?h(X,Me.pt):Me.alongA===1&&h(X,re));return!1}for(var A=[];!a.isEmpty();){var L=a.getHead();if(r&&r.vert(L.pt[0]),L.isStart){let H=function(){if(C){var X=k(L,C);if(X)return X}return M?k(L,M):!1};var 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E=l.index,k=l.matches_pt1?s:o,A=l.matches_head,d=n[E],L=A?d[0]:d[d.length-1],_=A?d[1]:d[d.length-2],C=A?d[d.length-1]:d[0],M=A?d[d.length-2]:d[1];if(t.pointsCollinear(_,L,k)&&(A?(r&&r.chainRemoveHead(l.index,k),d.shift()):(r&&r.chainRemoveTail(l.index,k),d.pop()),L=_),t.pointsSame(C,k)){n.splice(E,1),t.pointsCollinear(M,C,L)&&(A?(r&&r.chainRemoveTail(l.index,L),d.pop()):(r&&r.chainRemoveHead(l.index,L),d.shift())),r&&r.chainClose(l.index),i.push(d);return}A?(r&&r.chainAddHead(l.index,k),d.unshift(k)):(r&&r.chainAddTail(l.index,k),d.push(k));return}function p(V){r&&r.chainReverse(V),n[V].reverse()}function P(V,H){var X=n[V],G=n[H],N=X[X.length-1],W=X[X.length-2],re=G[0],ae=G[1];t.pointsCollinear(W,N,re)&&(r&&r.chainRemoveTail(V,N),X.pop(),N=W),t.pointsCollinear(N,re,ae)&&(r&&r.chainRemoveHead(H,re),G.shift()),r&&r.chainJoin(V,H),n[V]=X.concat(G),n.splice(H,1)}var T=l.index,F=u.index;r&&r.chainConnect(T,F);var q=n[T].length<n[F].length;l.matches_head?u.matches_head?q?(p(T),P(T,F)):(p(F),P(F,T)):P(F,T):u.matches_head?P(T,F):q?(p(T),P(F,T)):(p(F),P(T,F))}),i}Ice.exports=cct});var zce=ye((wir,Dce)=>{function yM(e,t,r){var n=[];return e.forEach(function(i){var a=(i.myFill.above?8:0)+(i.myFill.below?4:0)+(i.otherFill&&i.otherFill.above?2:0)+(i.otherFill&&i.otherFill.below?1:0);t[a]!==0&&n.push({id:r?r.segmentId():-1,start:i.start,end:i.end,myFill:{above:t[a]===1,below:t[a]===2},otherFill:null})}),r&&r.selected(n),n}var fct={union:function(e,t){return yM(e,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],t)},intersect:function(e,t){return yM(e,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],t)},difference:function(e,t){return yM(e,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],t)},differenceRev:function(e,t){return yM(e,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],t)},xor:function(e,t){return yM(e,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],t)}};Dce.exports=fct});var qce=ye((Tir,Fce)=>{var hct={toPolygon:function(e,t){function r(a){if(a.length<=0)return 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s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(d,v){for(var x=0,b=d[d.length-1][0],g=d[d.length-1][1],E=[],k=0;k<d.length;k++){var A=d[k][0],L=d[k][1];E.push([A,L]),x+=L*b-A*g,b=A,g=L}var _=x<0;return _!==v&&E.reverse(),E.push([E[0][0],E[0][1]]),E}var c=[];function f(d){var v=[u(d.region,!1)];c.push(v);for(var x=0;x<d.children.length;x++)v.push(h(d.children[x]))}function h(d){for(var v=0;v<d.children.length;v++)f(d.children[v]);return u(d.region,!0)}for(var s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:c.length==1?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};Fce.exports=hct});var Uce=ye((Air,Nce)=>{var dct=Sce(),vct=Ece(),Oce=Pce(),pct=Rce(),_M=zce(),Bce=qce(),E0=!1,xM=vct(),Ep;Ep={buildLog:function(e){return e===!0?E0=dct():e===!1&&(E0=!1),E0===!1?!1:E0.list},epsilon:function(e){return xM.epsilon(e)},segments:function(e){var t=Oce(!0,xM,E0);return 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t=[],r=gN(e[0])?0:e[0][0][0],n=r,i=gN(e[0])?0:e[0][0][1],a=i,o=0;o<e.length;o++)if(gN(e[o]))t.push(Dct(e[o]));else{var s=xN(e[o]);s.subtract=!!e[o].subtract,t.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}function l(u,c,f,h){for(var d=!1,v=0;v<t.length;v++)t[v].contains(u,c,f,h)&&(d=!t[v].subtract);return d}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:l,isRect:!1,degenerate:!1}}function afe(e,t,r){var n=t._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(e.shiftKey||e.altKey)&&!(MM(a)&&yN(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):(!s||!i.selection)&&EM(r),o||(tfe(t),n._lastSelectedSubplot=i.id)}function zct(e){return e._fullLayout._activeShapeIndex>=0}function Fct(e){return e._fullLayout._activeSelectionIndex>=0}function EM(e,t){var r=e.dragmode,n=e.plotinfo,i=e.gd;zct(i)&&i._fullLayout._deactivateShape(i),Fct(i)&&i._fullLayout._deactivateSelection(i);var a=i._fullLayout,o=a._zoomlayer,s=MM(r),l=_N(r);if(s||l){var u=o.selectAll(\".select-outline-\"+n.id);if(u&&i._fullLayout._outlining){var c;s&&(c=Tct(u,e)),c&&SM.call(\"_guiRelayout\",i,{shapes:c});var f;l&&!wN(e)&&(f=Act(u,e)),f&&(i._fullLayout._noEmitSelectedAtStart=!0,SM.call(\"_guiRelayout\",i,{selections:f}).then(function(){t&&Sct(i)})),i._fullLayout._outlining=!1}}n.selection={},n.selection.selectionDefs=e.selectionDefs=[],n.selection.mergedPolygons=e.mergedPolygons=[]}function Jce(e){return e._id}function pP(e,t,r,n){if(!e.calcdata)return[];var i=[],a=t.map(Jce),o=r.map(Jce),s,l,u;for(u=0;u<e.calcdata.length;u++)if(s=e.calcdata[u],l=s[0].trace,!(l.visible!==!0||!l._module||!l._module.selectPoints))if(wN({subplot:n})&&(l.subplot===n||l.geo===n))i.push(hP(l._module,s,t[0],r[0]));else if(l.type===\"splom\"){if(l._xaxes[a[0]]&&l._yaxes[o[0]]){var 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r=[],n,i,a,o;for(o=0;o<e.length;o++)n=e[o],n.cd[0].trace.selectedpoints&&n.cd[0].trace.selectedpoints.length>0&&r.push(n);if(r.length===1&&(a=r[0]===t.searchInfo,a&&(i=t.searchInfo.cd[0].trace,i.selectedpoints.length===t.pointNumbers.length))){for(o=0;o<t.pointNumbers.length;o++)if(i.selectedpoints.indexOf(t.pointNumbers[o])<0)return!1;return!0}return!1}function Nct(e){var t=0,r,n,i;for(i=0;i<e.length;i++)if(r=e[i],n=r.cd[0].trace,n.selectedpoints&&(n.selectedpoints.length>1||(t+=n.selectedpoints.length,t>1)))return!1;return t===1}function kM(e,t,r){var n;for(n=0;n<t.length;n++){var i=t[n].cd[0].trace._fullInput,a=e._fullLayout._tracePreGUI[i.uid]||{};a.selectedpoints===void 0&&(a.selectedpoints=i._input.selectedpoints||null)}var o;if(r){var s=r.points||[];for(n=0;n<t.length;n++)o=t[n].cd[0].trace,o._input.selectedpoints=o._fullInput.selectedpoints=[],o._fullInput!==o&&(o.selectedpoints=[]);for(var l=0;l<s.length;l++){var u=s[l],c=u.data,f=u.fullData,h=u.pointIndex,d=u.pointIndices;d?([].push.apply(c.selectedpoints,d),o._fullInput!==o&&[].push.apply(f.selectedpoints,d)):(c.selectedpoints.push(h),o._fullInput!==o&&f.selectedpoints.push(h))}}else for(n=0;n<t.length;n++)o=t[n].cd[0].trace,delete o.selectedpoints,delete o._input.selectedpoints,o._fullInput!==o&&delete o._fullInput.selectedpoints;Uct(e,t)}function Uct(e,t){for(var r=!1,n=0;n<t.length;n++){var i=t[n],a=i.cd;SM.traceIs(a[0].trace,\"regl\")&&(r=!0);var o=i._module,s=o.styleOnSelect||o.style;s&&(s(e,a,a[0].node3),a[0].nodeRangePlot3&&s(e,a,a[0].nodeRangePlot3))}r&&(Ect(e),kct(e))}function ofe(e,t,r){for(var n=r?Zce.difference:Zce.union,i=n({regions:e},{regions:[t]}),a=i.regions.reverse(),o=0;o<a.length;o++){var s=a[o];s.subtract=AN(s,a.slice(0,o))}return a}function sfe(e,t){if(Array.isArray(e))for(var r=t.cd,n=t.cd[0].trace,i=0;i<e.length;i++)e[i]=_ct(e[i],n,r);return e}function lfe(e,t){for(var r=[],n=0;n<e.length;n++){r[n]=[];for(var 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g=h_(c,s.x0),E=h_(c,s.x1),k=h_(f,s.y0),A=h_(f,s.y1);b=[[g,k],[g,A],[E,A],[E,k]],h=Math.min(g,E),d=Math.max(g,E),v=Math.min(k,A),x=Math.max(k,A),b.xmin=h,b.xmax=d,b.ymin=v,b.ymax=x,b.xref=l,b.yref=u,b.subtract=!1,b.isRect=!0,r.push(b)}else if(s.type===\"path\")for(var L=s.path.split(\"Z\"),_=[],C=0;C<L.length;C++){var M=L[C];if(M){M+=\"Z\";var p=Xce.extractPathCoords(M,Yce.paramIsX,\"raw\"),P=Xce.extractPathCoords(M,Yce.paramIsY,\"raw\");h=1/0,d=-1/0,v=1/0,x=-1/0,b=[];for(var T=0;T<p.length;T++){var F=h_(c,p[T]),q=h_(f,P[T]);b.push([F,q]),h=Math.min(F,h),d=Math.max(F,d),v=Math.min(q,v),x=Math.max(q,x)}b.xmin=h,b.xmax=d,b.ymin=v,b.ymax=x,b.xref=l,b.yref=u,b.subtract=AN(b,_),_.push(b),r.push(b)}}}}return r}function AN(e,t){for(var r=!1,n=0;n<t.length;n++)for(var i=t[n],a=0;a<e.length;a++)if(gct(e[a],i)){r=!r;break}return r}function h_(e,t){return e.type===\"date\"&&(t=t.replace(\"_\",\" \")),e.type===\"log\"?e.c2p(t):e.r2p(t,null,e.calendar)}function ffe(e){for(var t=e.length,r=[],n=0;n<t;n++){var i=e[n];r=r.concat(i),r=r.concat([i[0]])}return jct(r)}function jct(e){return e.isRect=e.length===5&&e[0][0]===e[4][0]&&e[0][1]===e[4][1]&&e[0][0]===e[1][0]&&e[2][0]===e[3][0]&&e[0][1]===e[3][1]&&e[1][1]===e[2][1]||e[0][1]===e[1][1]&&e[2][1]===e[3][1]&&e[0][0]===e[3][0]&&e[1][0]===e[2][0],e.isRect&&(e.xmin=Math.min(e[0][0],e[2][0]),e.xmax=Math.max(e[0][0],e[2][0]),e.ymin=Math.min(e[0][1],e[2][1]),e.ymax=Math.max(e[0][1],e[2][1])),e}function hfe(e){return function(t,r){for(var n,i,a=0;a<e.length;a++){var o=e[a],s=o._id,l=s.charAt(0);if(r.isRect){n||(n={});var u=r[l+\"min\"],c=r[l+\"max\"];u!==void 0&&c!==void 0&&(n[s]=[Kce(o,u),Kce(o,c)].sort(Mct))}else i||(i={}),i[s]=r.map(Lct(o))}n&&(t.range=n),i&&(t.lassoPoints=i)}}function Wct(e){var t=e.plotinfo;return t.fillRangeItems||hfe(e.xaxes.concat(e.yaxes))}function Zct(e,t){e.emit(\"plotly_selecting\",t)}function CM(e,t){t&&(t.selections=(e.layout||{}).selections||[]),e.emit(\"plotly_selected\",t)}function 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u=e[l];u.anchor&&u.anchor!==\"free\"&&(u.anchor=qM(u.anchor)),u.overlaying&&(u.overlaying=qM(u.overlaying)),u.type||(u.isdate?u.type=\"date\":u.islog?u.type=\"log\":u.isdate===!1&&u.islog===!1&&(u.type=\"linear\")),(u.autorange===\"withzero\"||u.autorange===\"tozero\")&&(u.autorange=!0,u.rangemode=\"tozero\"),u.insiderange&&delete u.range,delete u.islog,delete u.isdate,delete u.categories,SP(u,\"domain\")&&delete u.domain}}var c=Array.isArray(e.annotations)?e.annotations.length:0;for(t=0;t<c;t++){var f=e.annotations[t];kp.isPlainObject(f)&&(Y3(f,\"xref\"),Y3(f,\"yref\"))}var h=Array.isArray(e.shapes)?e.shapes.length:0;for(t=0;t<h;t++){var d=e.shapes[t];kp.isPlainObject(d)&&(Y3(d,\"xref\"),Y3(d,\"yref\"))}var v=Array.isArray(e.images)?e.images.length:0;for(t=0;t<v;t++){var x=e.images[t];kp.isPlainObject(x)&&(Y3(x,\"xref\"),Y3(x,\"yref\"))}var b=e.legend;return 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u=(r.increasing||{}).showlegend!==!1,c=(r.decreasing||{}).showlegend!==!1,f=dhe(r.increasing),h=dhe(r.decreasing);if(f!==!1&&h!==!1){var d=qft(f,h,u,c);d&&(r.name=d)}else(f||h)&&!r.name&&(r.name=f||h)}SP(r,\"line\")&&delete r.line,\"marker\"in r&&(SP(r.marker,\"line\")&&delete r.marker.line,SP(r,\"marker\")&&delete r.marker),_he.clean(r),r.autobinx&&(delete r.autobinx,delete r.xbins),r.autobiny&&(delete r.autobiny,delete r.ybins)}};function dhe(e){if(!kp.isPlainObject(e))return!1;var t=e.name;return delete e.name,delete e.showlegend,(typeof t==\"string\"||typeof t==\"number\")&&String(t)}function qft(e,t,r,n){if(r&&!n)return e;if(n&&!r||!e.trim())return t;if(!t.trim())return e;var i=Math.min(e.length,t.length),a;for(a=0;a<i&&e.charAt(a)===t.charAt(a);a++);var o=e.substr(0,a);return o.trim()}function vhe(e){var t=\"middle\",r=\"center\";return typeof e==\"string\"&&(e.indexOf(\"top\")!==-1?t=\"top\":e.indexOf(\"bottom\")!==-1&&(t=\"bottom\"),e.indexOf(\"left\")!==-1?r=\"left\":e.indexOf(\"right\")!==-1&&(r=\"right\")),t+\" \"+r}function SP(e,t){return t in e&&typeof e[t]==\"object\"&&Object.keys(e[t]).length===0}Cg.swapXYData=function(e){var t;if(kp.swapAttrs(e,[\"?\",\"?0\",\"d?\",\"?bins\",\"nbins?\",\"autobin?\",\"?src\",\"error_?\"]),Array.isArray(e.z)&&Array.isArray(e.z[0])&&(e.transpose?delete e.transpose:e.transpose=!0),e.error_x&&e.error_y){var r=e.error_y,n=\"copy_ystyle\"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);kp.swapAttrs(e,[\"error_?.copy_ystyle\"]),n&&kp.swapAttrs(e,[\"error_?.color\",\"error_?.thickness\",\"error_?.width\"])}if(typeof e.hoverinfo==\"string\"){var i=e.hoverinfo.split(\"+\");for(t=0;t<i.length;t++)i[t]===\"x\"?i[t]=\"y\":i[t]===\"y\"&&(i[t]=\"x\");e.hoverinfo=i.join(\"+\")}};Cg.coerceTraceIndices=function(e,t){if(ghe(t))return[t];if(!Array.isArray(t)||!t.length)return 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C=u._basePlotModules,M=0;M<C.length;M++)C[M].drawFramework&&C[M].drawFramework(e);!u._glcanvas&&u._has(\"gl\")&&(u._glcanvas=u._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:!0,pick:!1},{key:\"focusLayer\",context:!1,pick:!1},{key:\"pickLayer\",context:!1,pick:!0}],function(F){return F.key}),u._glcanvas.enter().append(\"canvas\").attr(\"class\",function(F){return\"gl-canvas gl-canvas-\"+F.key.replace(\"Layer\",\"\")}).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"}));var p=e._context.plotGlPixelRatio;if(u._glcanvas){u._glcanvas.attr(\"width\",u.width*p).attr(\"height\",u.height*p).style(\"width\",u.width+\"px\").style(\"height\",u.height+\"px\");var P=u._glcanvas.data()[0].regl;if(P&&(Math.floor(u.width*p)!==P._gl.drawingBufferWidth||Math.floor(u.height*p)!==P._gl.drawingBufferHeight)){var T=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(v)sa.error(T);else return 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Ehe(e,t){if(!e._context){e._context=sa.extendDeep({},She);var r=kP.select(\"base\");e._context._baseUrl=r.size()&&r.attr(\"href\")?window.location.href.split(\"#\")[0]:\"\"}var n=e._context,i,a,o;if(t){for(a=Object.keys(t),i=0;i<a.length;i++)o=a[i],!(o===\"editable\"||o===\"edits\")&&o in n&&(o===\"setBackground\"&&t[o]===\"opaque\"?n[o]=Jft:n[o]=t[o]);var s=t.editable;if(s!==void 0)for(n.editable=s,a=Object.keys(n.edits),i=0;i<a.length;i++)n.edits[a[i]]=s;if(t.edits)for(a=Object.keys(t.edits),i=0;i<a.length;i++)o=a[i],o in n.edits&&(n.edits[o]=t.edits[o]);n._exportedPlot=t._exportedPlot}n.staticPlot&&(n.editable=!1,n.edits={},n.autosizable=!1,n.scrollZoom=!1,n.doubleClick=!1,n.showTips=!1,n.showLink=!1,n.displayModeBar=!1),n.displayModeBar===\"hover\"&&!Uft&&(n.displayModeBar=!0),(n.setBackground===\"transparent\"||typeof n.setBackground!=\"function\")&&(n.setBackground=Mhe),n._hasZeroHeight=n._hasZeroHeight||e.clientHeight===0,n._hasZeroWidth=n._hasZeroWidth||e.clientWidth===0;var l=n.scrollZoom,u=n._scrollZoom={};if(l===!0)u.cartesian=1,u.gl3d=1,u.geo=1,u.mapbox=1,u.map=1;else if(typeof l==\"string\"){var c=l.split(\"+\");for(i=0;i<c.length;i++)u[c[i]]=1}else l!==!1&&(u.gl3d=1,u.geo=1,u.mapbox=1,u.map=1)}function $ft(e){if(e=sa.getGraphDiv(e),!sa.isPlotDiv(e))throw new Error(\"This element is not a Plotly plot: \"+e);return yh.cleanData(e.data),yh.cleanLayout(e.layout),e.calcdata=void 0,pl._doPlot(e).then(function(){return e.emit(\"plotly_redraw\"),e})}function Qft(e,t,r,n){return e=sa.getGraphDiv(e),Ho.cleanPlot([],{},e._fullData||[],e._fullLayout||{}),Ho.purge(e),pl._doPlot(e,t,r,n)}function CP(e,t){var r=t+1,n=[],i,a;for(i=0;i<e.length;i++)a=e[i],a<0?n.push(r+a):n.push(a);return n}function LP(e,t,r){var n,i;for(n=0;n<t.length;n++){if(i=t[n],i!==parseInt(i,10))throw new Error(\"all values in \"+r+\" must be integers\");if(i>=e.data.length||i<-e.data.length)throw new Error(r+\" must be valid indices for 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f,h;if(sa.isTypedArray(l))if(c<0){var d=new l.constructor(0),v=Lhe(l,u);c<0?(f=v,h=d):(f=d,h=v)}else if(f=new l.constructor(c),h=new l.constructor(l.length+u.length-c),c===u.length)f.set(u),h.set(l);else if(c<u.length){var x=u.length-c;f.set(u.subarray(x)),h.set(l),h.set(u.subarray(0,x),l.length)}else{var b=c-u.length,g=l.length-b;f.set(l.subarray(g)),f.set(u,b),h.set(l.subarray(0,g))}else f=l.concat(u),h=c>=0&&c<f.length?f.splice(0,f.length-c):[];return[f,h]}var a=Che(e,t,r,n,i),o=pl.redraw(e),s=[e,a.update,r,a.maxPoints];return ap.add(e,pl.prependTraces,s,Phe,arguments),o}function Ihe(e,t,r,n){e=sa.getGraphDiv(e);function i(l,u,c){var f,h;if(sa.isTypedArray(l))if(c<=0){var d=new l.constructor(0),v=Lhe(u,l);c<0?(f=v,h=d):(f=d,h=v)}else if(f=new l.constructor(c),h=new l.constructor(l.length+u.length-c),c===u.length)f.set(u),h.set(l);else if(c<u.length){var x=u.length-c;f.set(u.subarray(0,x)),h.set(u.subarray(x)),h.set(l,x)}else{var 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i=Array.isArray(t)?t:[],a=Array.isArray(r)?r:[],o=Math.max(i.length,a.length),s=0;s<o;s++)IP(e+\"[\"+s+\"]\",i[s],a[s],n);else if(sa.isPlainObject(t)||sa.isPlainObject(r)){var l=sa.isPlainObject(t)?t:{},u=sa.isPlainObject(r)?r:{},c=sa.extendFlat({},l,u);for(var f in c)IP(e+\".\"+f,l[f],u[f],n)}else n[e]===void 0&&(n[e]=Cy(t))}function iht(e,t,r){for(var n in r){var i=Yu(e,n);IP(n,i.get(),r[n],t)}}function zhe(e,t,r){var n=e._fullLayout,i=e._fullData,a=e.data,o=n._guiEditing,s=EP(n._preGUI,o),l=sa.extendDeepAll({},t),u,c=v_.traceFlags(),f={},h={},d;function v(){return r.map(function(){})}function x(me){var Re=Nv.id2name(me);d.indexOf(Re)===-1&&d.push(Re)}function b(me){return\"LAYOUT\"+me+\".autorange\"}function g(me){return\"LAYOUT\"+me+\".range\"}function E(me){for(var Re=me;Re<i.length;Re++)if(i[Re]._input===a[me])return i[Re]}function k(me,Re,ce){if(Array.isArray(me)){me.forEach(function(qt){k(qt,Re,ce)});return}if(!(me in t||yh.hasParent(t,me))){var 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ge=\"x\",ie=\"y\";(F===\"bar\"||T===\"bar\")&&M.orientation===\"h\"&&(ge=\"y\",ie=\"x\"),sa.swapAttrs(M,[\"?\",\"?src\"],\"labels\",ge),sa.swapAttrs(M,[\"d?\",\"?0\"],\"label\",ge),sa.swapAttrs(M,[\"?\",\"?src\"],\"values\",ie),T===\"pie\"||T===\"funnelarea\"?(Yu(M,\"marker.color\").set(Yu(M,\"marker.colors\").get()),n._pielayer.selectAll(\"g.trace\").remove()):L0.traceIs(M,\"cartesian\")&&Yu(M,\"marker.colors\").set(Yu(M,\"marker.color\").get())}h[_][u]=Cy(T);var Te=[\"swapxy\",\"swapxyaxes\",\"orientation\",\"orientationaxes\"];if(Te.indexOf(_)!==-1){if(_===\"orientation\"){P.set(F);var Ee=M.x&&!M.y?\"h\":\"v\";if((P.get()||Ee)===p.orientation)continue}else _===\"orientationaxes\"&&(M.orientation={v:\"h\",h:\"v\"}[p.orientation]);yh.swapXYData(M),c.calc=c.clearAxisTypes=!0}else Ho.dataArrayContainers.indexOf(P.parts[0])!==-1?(yh.manageArrayContainers(P,F,h),c.calc=!0):(q?q.arrayOk&&!L0.traceIs(p,\"regl\")&&(sa.isArrayOrTypedArray(F)||sa.isArrayOrTypedArray(T))?c.calc=!0:v_.update(c,q):c.calc=!0,P.set(F))}}if([\"swapxyaxes\",\"orientationaxes\"].indexOf(_)!==-1&&Nv.swap(e,r),_===\"orientationaxes\"){var Ae=Yu(e.layout,\"hovermode\"),ze=Ae.get();ze===\"x\"?Ae.set(\"y\"):ze===\"y\"?Ae.set(\"x\"):ze===\"x unified\"?Ae.set(\"y unified\"):ze===\"y unified\"&&Ae.set(\"x unified\")}if([\"orientation\",\"type\"].indexOf(_)!==-1){for(d=[],u=0;u<r.length;u++){var Ce=a[r[u]];L0.traceIs(Ce,\"cartesian\")&&(x(Ce.xaxis||\"x\"),x(Ce.yaxis||\"y\"))}k(d.map(b),!0,0),k(d.map(g),[0,1],0)}}return(c.calc||c.plot)&&(c.fullReplot=!0),{flags:c,undoit:h,redoit:f,traces:r,eventData:sa.extendDeepNoArrays([],[l,r])}}function OM(e,t,r){e=sa.getGraphDiv(e),yh.clearPromiseQueue(e);var n={};if(typeof t==\"string\")n[t]=r;else if(sa.isPlainObject(t))n=sa.extendFlat({},t);else return sa.warn(\"Relayout fail.\",t,r),Promise.reject();Object.keys(n).length&&(e.changed=!0);var i=Bhe(e,n),a=i.flags;a.calc&&(e.calcdata=void 0);var o=[Ho.previousPromises];a.layoutReplot?o.push(Jl.layoutReplot):Object.keys(n).length&&(Fhe(e,a,i)||Ho.supplyDefaults(e),a.legend&&o.push(Jl.doLegend),a.layoutstyle&&o.push(Jl.layoutStyles),a.axrange&&FP(o,i.rangesAltered),a.ticks&&o.push(Jl.doTicksRelayout),a.modebar&&o.push(Jl.doModeBar),a.camera&&o.push(Jl.doCamera),a.colorbars&&o.push(Jl.doColorBars),o.push(BM)),o.push(Ho.rehover,Ho.redrag,Ho.reselect),ap.add(e,OM,[e,i.undoit],OM,[e,i.redoit]);var s=sa.syncOrAsync(o,e);return(!s||!s.then)&&(s=Promise.resolve(e)),s.then(function(){return e.emit(\"plotly_relayout\",i.eventData),e})}function Fhe(e,t,r){var n=e._fullLayout;if(!t.axrange)return!1;for(var i in t)if(i!==\"axrange\"&&t[i])return!1;var a,o,s=function(d,v){return sa.coerce(a,o,Hft,d,v)},l={};for(var u in r.rangesAltered){var 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r=e.layout,n=e._fullLayout,i=n._guiEditing,a=EP(n._preGUI,i),o=Object.keys(t),s=Nv.list(e),l=sa.extendDeepAll({},t),u={},c,f,h;for(o=Object.keys(t),f=0;f<o.length;f++)if(o[f].indexOf(\"allaxes\")===0){for(h=0;h<s.length;h++){var d=s[h]._id.substr(1),v=d.indexOf(\"scene\")!==-1?d+\".\":\"\",x=o[f].replace(\"allaxes\",v+s[h]._name);t[x]||(t[x]=t[o[f]])}delete t[o[f]]}var b=v_.layoutFlags(),g={},E={};function k(ct,qt){if(Array.isArray(ct)){ct.forEach(function(ot){k(ot,qt)});return}if(!(ct in t||yh.hasParent(t,ct))){var rt=a(r,ct);ct in E||(E[ct]=Cy(rt.get())),qt!==void 0&&rt.set(qt)}}var A={},L;function _(ct){var qt=Nv.name2id(ct.split(\".\")[0]);return A[qt]=1,qt}for(var C in t){if(yh.hasParent(t,C))throw new Error(\"cannot set \"+C+\" and a parent attribute simultaneously\");for(var M=a(r,C),p=t[C],P=M.parts.length,T=P-1;T>0&&typeof M.parts[T]!=\"string\";)T--;var F=M.parts[T],q=M.parts[T-1]+\".\"+F,V=M.parts.slice(0,T).join(\".\"),H=Yu(e.layout,V).get(),X=Yu(n,V).get(),G=M.get();if(p!==void 0){g[C]=p,E[C]=F===\"reverse\"?p:Cy(G);var N=zP.getLayoutValObject(n,M.parts);if(N&&N.impliedEdits&&p!==null)for(var W in N.impliedEdits)k(sa.relativeAttr(C,W),N.impliedEdits[W]);if([\"width\",\"height\"].indexOf(C)!==-1)if(p){k(\"autosize\",null);var re=C===\"height\"?\"width\":\"height\";k(re,n[re])}else n[C]=e._initialAutoSize[C];else if(C===\"autosize\")k(\"width\",p?null:n.width),k(\"height\",p?null:n.height);else if(q.match(qhe))_(q),Yu(n,V+\"._inputRange\").set(null);else if(q.match(Ohe)){_(q),Yu(n,V+\"._inputRange\").set(null);var ae=Yu(n,V).get();ae._inputDomain&&(ae._input.domain=ae._inputDomain.slice())}else q.match(nht)&&Yu(n,V+\"._inputDomain\").set(null);if(F===\"type\"){L=H;var _e=X.type===\"linear\"&&p===\"log\",Me=X.type===\"log\"&&p===\"linear\";if(_e||Me){if(!L||!L.range)k(V+\".autorange\",!0);else 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nt=n.shapes;for(f=0;f<nt.length;f++)if(nt[f].showlegend){b.calc=!0;break}return(b.plot||b.calc)&&(b.layoutReplot=!0),{flags:b,rangesAltered:A,undoit:E,redoit:g,eventData:l}}function Nhe(e){var t=e._fullLayout,r=t.width,n=t.height;return e.layout.autosize&&Ho.plotAutoSize(e,e.layout,t),t.width!==r||t.height!==n}function RP(e,t,r,n){e=sa.getGraphDiv(e),yh.clearPromiseQueue(e),sa.isPlainObject(t)||(t={}),sa.isPlainObject(r)||(r={}),Object.keys(t).length&&(e.changed=!0),Object.keys(r).length&&(e.changed=!0);var i=yh.coerceTraceIndices(e,n),a=zhe(e,sa.extendFlat({},t),i),o=a.flags,s=Bhe(e,sa.extendFlat({},r)),l=s.flags;(o.calc||l.calc)&&(e.calcdata=void 0),o.clearAxisTypes&&yh.clearAxisTypes(e,i,r);var u=[];l.layoutReplot?u.push(Jl.layoutReplot):o.fullReplot?u.push(pl._doPlot):(u.push(Ho.previousPromises),Fhe(e,l,s)||Ho.supplyDefaults(e),o.style&&u.push(Jl.doTraceStyle),(o.colorbars||l.colorbars)&&u.push(Jl.doColorBars),l.legend&&u.push(Jl.doLegend),l.layoutstyle&&u.push(Jl.layoutStyles),l.axrange&&FP(u,s.rangesAltered),l.ticks&&u.push(Jl.doTicksRelayout),l.modebar&&u.push(Jl.doModeBar),l.camera&&u.push(Jl.doCamera),u.push(BM)),u.push(Ho.rehover,Ho.redrag,Ho.reselect),ap.add(e,RP,[e,a.undoit,s.undoit,a.traces],RP,[e,a.redoit,s.redoit,a.traces]);var c=sa.syncOrAsync(u,e);return(!c||!c.then)&&(c=Promise.resolve(e)),c.then(function(){return e.emit(\"plotly_update\",{data:a.eventData,layout:s.eventData}),e})}function GN(e){return function(r){r._fullLayout._guiEditing=!0;var n=e.apply(null,arguments);return r._fullLayout._guiEditing=!1,n}}var aht=[{pattern:/^hiddenlabels/,attr:\"legend.uirevision\"},{pattern:/^((x|y)axis\\d*)\\.((auto)?range|title\\.text)/},{pattern:/axis\\d*\\.showspikes$/,attr:\"modebar.uirevision\"},{pattern:/(hover|drag)mode$/,attr:\"modebar.uirevision\"},{pattern:/^(scene\\d*)\\.camera/},{pattern:/^(geo\\d*)\\.(projection|center|fitbounds)/},{pattern:/^(ternary\\d*\\.[abc]axis)\\.(min|title\\.text)$/},{pattern:/^(polar\\d*\\.radialaxis)\\.((auto)?range|angle|title\\.text)/},{pattern:/^(polar\\d*\\.angularaxis)\\.rotation/},{pattern:/^(mapbox\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^(map\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^legend\\.(x|y)$/,attr:\"editrevision\"},{pattern:/^(shapes|annotations)/,attr:\"editrevision\"},{pattern:/^title\\.text$/,attr:\"editrevision\"}],oht=[{pattern:/^selectedpoints$/,attr:\"selectionrevision\"},{pattern:/(^|value\\.)visible$/,attr:\"legend.uirevision\"},{pattern:/^dimensions\\[\\d+\\]\\.constraintrange/},{pattern:/^node\\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\\.)name$/},{pattern:/colorbar\\.title\\.text$/},{pattern:/colorbar\\.(x|y)$/,attr:\"editrevision\"}];function whe(e,t){for(var r=0;r<t.length;r++){var n=t[r],i=e.match(n.pattern);if(i){var a=i[1]||\"\";return{head:a,tail:e.substr(a.length+1),attr:n.attr}}}}function The(e,t){var r=Yu(t,e).get();if(r!==void 0)return r;var n=e.split(\".\");for(n.pop();n.length>1;)if(n.pop(),r=Yu(t,n.join(\".\")+\".uirevision\").get(),r!==void 0)return r;return t.uirevision}function sht(e,t){for(var r=0;r<t.length;r++)if(t[r]._fullInput.uid===e)return r;return-1}function lht(e,t,r){for(var n=0;n<t.length;n++)if(t[n].uid===e)return n;return!t[r]||t[r].uid?-1:r}function Ahe(e,t){var r=sa.isPlainObject(e),n=Array.isArray(e);return r||n?(r&&sa.isPlainObject(t)||n&&Array.isArray(t))&&JSON.stringify(e)===JSON.stringify(t):e===t}function uht(e,t,r,n){var i=n._preGUI,a,o,s,l,u,c,f,h,d,v,x=[],b={},g={};for(a in i){if(u=whe(a,aht),u){if(d=u.head,v=u.tail,o=u.attr||d+\".uirevision\",s=Yu(n,o).get(),l=s&&The(o,t),l&&l===s){if(c=i[a],c===null&&(c=void 0),f=Yu(t,a),h=f.get(),Ahe(h,c)){h===void 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f={getValObject:c,flags:s,immutable:n,transition:i,newDataRevision:a,gd:e},h={};for(l=0;l<t.length;l++)if(r[l]){if(u=r[l]._fullInput,h[u.uid])continue;h[u.uid]=1,DP(t[l]._fullInput,u,[],f)}return(s.calc||s.plot)&&(s.fullReplot=!0),i&&s.nChanges&&s.nChangesAnim&&(s.anim=s.nChanges===s.nChangesAnim&&o?\"all\":\"some\"),s}function hht(e,t,r,n,i){var a=v_.layoutFlags();a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0;function o(h){return zP.getLayoutValObject(r,h)}for(var s in r)if(!(!s.startsWith(\"xaxis\")&&!s.startsWith(\"yaxis\"))&&t[s]){var l=r[s].domain,u=t[s].domain,c=t[s]._inputDomain;t[s]._inputDomain&&(l[0]===c[0]&&l[1]===c[1]?r[s].domain=t[s].domain:(l[0]!==u[0]||l[1]!==u[1])&&(r[s]._inputDomain=null))}var f={getValObject:o,flags:a,immutable:n,transition:i,gd:e};return DP(t,r,[],f),(a.plot||a.calc)&&(a.layoutReplot=!0),i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?\"all\":\"some\"),a}function DP(e,t,r,n){var i,a,o,s=n.getValObject,l=n.flags,u=n.immutable,c=n.inArray,f=n.arrayIndex;function h(){var V=i.editType;if(c&&V.indexOf(\"arraydraw\")!==-1){sa.pushUnique(l.arrays[c],f);return}v_.update(l,i),V!==\"none\"&&l.nChanges++,n.transition&&i.anim&&l.nChangesAnim++,(qhe.test(o)||Ohe.test(o))&&(l.rangesAltered[r[0]]=1),a===\"datarevision\"&&(l.newDataRevision=1)}function d(V){return V.valType===\"data_array\"||V.arrayOk}for(a in e){if(l.calc&&!n.transition)return;var v=e[a],x=t[a],b=r.concat(a);if(o=b.join(\".\"),!(a.charAt(0)===\"_\"||typeof v==\"function\"||v===x)){if((a===\"tick0\"||a===\"dtick\")&&r[0]!==\"geo\"){var g=t.tickmode;if(g===\"auto\"||g===\"array\"||!g)continue}if(!(a===\"range\"&&t.autorange)&&!((a===\"zmin\"||a===\"zmax\")&&t.type===\"contourcarpet\")&&(i=s(b),!!i&&!(i._compareAsJSON&&JSON.stringify(v)===JSON.stringify(x)))){var E=i.valType,k,A=d(i),L=Array.isArray(v),_=Array.isArray(x);if(L&&_){var C=\"_input_\"+a,M=e[C],p=t[C];if(Array.isArray(M)&&M===p)continue}if(x===void 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n=0;n<t.length;n++)t[n].i=n;Df.mergeArray(r.text,t,\"tx\"),Df.mergeArray(r.texttemplate,t,\"txt\"),Df.mergeArray(r.hovertext,t,\"htx\"),Df.mergeArray(r.customdata,t,\"data\"),Df.mergeArray(r.textposition,t,\"tp\"),r.textfont&&(Df.mergeArrayCastPositive(r.textfont.size,t,\"ts\"),Df.mergeArray(r.textfont.color,t,\"tc\"),Df.mergeArray(r.textfont.family,t,\"tf\"),Df.mergeArray(r.textfont.weight,t,\"tw\"),Df.mergeArray(r.textfont.style,t,\"ty\"),Df.mergeArray(r.textfont.variant,t,\"tv\"),Df.mergeArray(r.textfont.textcase,t,\"tC\"),Df.mergeArray(r.textfont.lineposition,t,\"tE\"),Df.mergeArray(r.textfont.shadow,t,\"tS\"));var i=r.marker;if(i){Df.mergeArrayCastPositive(i.size,t,\"ms\"),Df.mergeArrayCastPositive(i.opacity,t,\"mo\"),Df.mergeArray(i.symbol,t,\"mx\"),Df.mergeArray(i.angle,t,\"ma\"),Df.mergeArray(i.standoff,t,\"mf\"),Df.mergeArray(i.color,t,\"mc\");var a=i.line;i.line&&(Df.mergeArray(a.color,t,\"mlc\"),Df.mergeArrayCastPositive(a.width,t,\"mlw\"));var o=i.gradient;o&&o.type!==\"none\"&&(Df.mergeArray(o.type,t,\"mgt\"),Df.mergeArray(o.color,t,\"mgc\"))}}});var F0=ye((wnr,Ode)=>{\"use strict\";var qde=Mr();Ode.exports=function(t,r){qde.isArrayOrTypedArray(r.selectedpoints)&&qde.tagSelected(t,r)}});var q0=ye((Tnr,jde)=>{\"use strict\";var Bde=uo(),rU=Mr(),GM=Qa(),Nde=Rg(),tU=es().BADNUM,iU=lu(),Pdt=z0(),Idt=km(),Rdt=F0();function Ddt(e,t){var r=e._fullLayout,n=t._xA=GM.getFromId(e,t.xaxis||\"x\",\"x\"),i=t._yA=GM.getFromId(e,t.yaxis||\"y\",\"y\"),a=n.makeCalcdata(t,\"x\"),o=i.makeCalcdata(t,\"y\"),s=Nde(t,n,\"x\",a),l=Nde(t,i,\"y\",o),u=s.vals,c=l.vals,f=t._length,h=new Array(f),d=t.ids,v=nU(t,r,n,i),x=!1,b,g,E,k,A,L;Hde(r,t);var _=\"x\",C=\"y\",M;if(v)rU.pushUnique(v.traceIndices,t.index),b=v.orientation===\"v\",b?(C=\"s\",M=\"x\"):(_=\"s\",M=\"y\"),A=v.stackgaps===\"interpolate\";else{var p=Vde(t,f);Ude(e,t,n,i,u,c,p)}var P=!!t.xperiodalignment,T=!!t.yperiodalignment;for(g=0;g<f;g++){var F=h[g]={},q=Bde(u[g]),V=Bde(c[g]);q&&V?(F[_]=u[g],F[C]=c[g],P&&(F.orig_x=a[g],F.xEnd=s.ends[g],F.xStart=s.starts[g]),T&&(F.orig_y=o[g],F.yEnd=l.ends[g],F.yStart=l.starts[g])):v&&(b?q:V)?(F[M]=b?u[g]:c[g],F.gap=!0,A?(F.s=tU,x=!0):F.s=0):F[_]=F[C]=tU,d&&(F.id=String(d[g]))}if(Idt(h,t),Pdt(e,t),Rdt(h,t),v){for(g=0;g<h.length;)h[g][M]===tU?h.splice(g,1):g++;if(rU.sort(h,function(N,W){return N[M]-W[M]||N.i-W.i}),x){for(g=0;g<h.length-1&&h[g].gap;)g++;for(L=h[g].s,L||(L=h[g].s=0),E=0;E<g;E++)h[E].s=L;for(k=h.length-1;k>g&&h[k].gap;)k--;for(L=h[k].s,E=h.length-1;E>k;E--)h[E].s=L;for(;g<k;)if(g++,h[g].gap){for(E=g+1;h[E].gap;)E++;for(var H=h[g-1][M],X=h[g-1].s,G=(h[E].s-X)/(h[E][M]-H);g<E;)h[g].s=X+(h[g][M]-H)*G,g++}}}return h}function Ude(e,t,r,n,i,a,o){var s=t._length,l=e._fullLayout,u=r._id,c=n._id,f=l._firstScatter[Gde(t)]===t.uid,h=(nU(t,l,r,n)||{}).orientation,d=t.fill;r._minDtick=0,n._minDtick=0;var v={padded:!0},x={padded:!0};o&&(v.ppad=x.ppad=o);var b=s<2||i[0]!==i[s-1]||a[0]!==a[s-1];b&&(d===\"tozerox\"||d===\"tonextx\"&&(f||h===\"h\"))?v.tozero=!0:!(t.error_y||{}).visible&&(d===\"tonexty\"||d===\"tozeroy\"||!iU.hasMarkers(t)&&!iU.hasText(t))&&(v.padded=!1,v.ppad=0),b&&(d===\"tozeroy\"||d===\"tonexty\"&&(f||h===\"v\"))?x.tozero=!0:(d===\"tonextx\"||d===\"tozerox\")&&(x.padded=!1),u&&(t._extremes[u]=GM.findExtremes(r,i,v)),c&&(t._extremes[c]=GM.findExtremes(n,a,x))}function Vde(e,t){if(iU.hasMarkers(e)){var r=e.marker,n=1.6*(e.marker.sizeref||1),i;if(e.marker.sizemode===\"area\"?i=function(u){return Math.max(Math.sqrt((u||0)/n),3)}:i=function(u){return Math.max((u||0)/n,3)},rU.isArrayOrTypedArray(r.size)){var a={type:\"linear\"};GM.setConvert(a);for(var o=a.makeCalcdata(e.marker,\"size\"),s=new Array(t),l=0;l<t;l++)s[l]=i(o[l]);return s}else return i(r.size)}}function Hde(e,t){var r=Gde(t),n=e._firstScatter;n[r]||(n[r]=t.uid)}function Gde(e){var t=e.stackgroup;return e.xaxis+e.yaxis+e.type+(t?\"-\"+t:\"\")}function nU(e,t,r,n){var i=e.stackgroup;if(i){var a=t._scatterStackOpts[r._id+n._id][i],o=a.orientation===\"v\"?n:r;if(o.type===\"linear\"||o.type===\"log\")return a}}jde.exports={calc:Ddt,calcMarkerSize:Vde,calcAxisExpansion:Ude,setFirstScatter:Hde,getStackOpts:nU}});var Zde=ye((Anr,Wde)=>{\"use strict\";Wde.exports=WP;var zdt=Mr().distinctVals;function WP(e,t){this.traces=e,this.sepNegVal=t.sepNegVal,this.overlapNoMerge=t.overlapNoMerge;for(var r=1/0,n=t.posAxis._id.charAt(0),i=[],a=0;a<e.length;a++){for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l.p;u===void 0&&(u=l[n]),u!==void 0&&i.push(u)}o[0]&&o[0].width1&&(r=Math.min(o[0].width1,r))}this.positions=i;var c=zdt(i);this.distinctPositions=c.vals,c.vals.length===1&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(c.minDiff,r);var f=(t.posAxis||{}).type;(f===\"category\"||f===\"multicategory\")&&(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}WP.prototype.put=function(t,r,n){var i=this.getLabel(t,r,n),a=this.bins[i]||0;return this.bins[i]=a+n,a};WP.prototype.get=function(t,r,n){var i=this.getLabel(t,r,n);return this.bins[i]||0};WP.prototype.getLabel=function(t,r,n){var i=n<0&&this.sepNegVal?\"v\":\"^\",a=this.overlapNoMerge?t:Math.round(t/this.binWidth);return i+a+\"g\"+r}});var Gb=ye((Snr,Jde)=>{\"use strict\";var O0=uo(),p_=Mr().isArrayOrTypedArray,Q3=es().BADNUM,Fdt=ba(),jM=Qa(),qdt=Bb().getAxisGroup,ZP=Zde();function Odt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];if(c.visible===!0&&Fdt.traceIs(c,\"bar\")&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):l.push(o[u]),c._computePh))for(var f=e.calcdata[u],h=0;h<f.length;h++)typeof f[h].ph0==\"function\"&&(f[h].ph0=f[h].ph0()),typeof f[h].ph1==\"function\"&&(f[h].ph1=f[h].ph1())}var d={xCat:r.type===\"category\"||r.type===\"multicategory\",yCat:n.type===\"category\"||n.type===\"multicategory\",mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};oU(e,r,n,l,d),oU(e,n,r,s,d)}function oU(e,t,r,n,i){if(n.length){var a,o,s,l,u;switch(Udt(r,n),i.mode){case\"overlay\":aU(e,t,r,n,i);break;case\"group\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.offset===void 0?o.push(l):a.push(l);o.length&&Vdt(e,t,r,o,i),a.length&&aU(e,t,r,a,i);break;case\"stack\":case\"relative\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.base===void 0?o.push(l):a.push(l);Ndt(o),o.length&&Hdt(e,t,r,o,i),a.length&&aU(e,t,r,a,i);break}Bdt(n),Ydt(n,t)}}function Bdt(e){var t,r,n,i,a,o,s;for(t=0;t<e.length;t++)r=e[t],n=r[0].trace,i=r[0].t,i.cornerradiusvalue===void 0&&(a=n.marker?n.marker.cornerradius:void 0,a!==void 0&&(o=O0(a)?+a:+a.slice(0,-1),s=O0(a)?\"px\":\"%\",i.cornerradiusvalue=o,i.cornerradiusform=s))}function Ndt(e){if(!(e.length<2)){var t,r,n,i,a,o,s;for(t=0;t<e.length&&(r=e[t],n=r[0].trace,a=n.marker?n.marker.cornerradius:void 0,a===void 0);t++);if(a!==void 0)for(o=O0(a)?+a:+a.slice(0,-1),s=O0(a)?\"px\":\"%\",t=0;t<e.length;t++)r=e[t],i=r[0].t,i.cornerradiusvalue=o,i.cornerradiusform=s}}function Udt(e,t){var r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0].trace,o=a.type===\"funnel\"?a._base:a.base,s,l=a.orientation===\"h\"?a.xcalendar:a.ycalendar,u=e.type===\"category\"||e.type===\"multicategory\"?function(){return null}:e.d2c;if(p_(o)){for(n=0;n<Math.min(o.length,i.length);n++)s=u(o[n],0,l),O0(s)?(i[n].b=+s,i[n].hasB=1):i[n].b=0;for(;n<i.length;n++)i[n].b=0}else{s=u(o,0,l);var c=O0(s);for(s=c?s:0,n=0;n<i.length;n++)i[n].b=s,c&&(i[n].hasB=1)}}}function aU(e,t,r,n,i){for(var a=0;a<n.length;a++){var o=n[a],s=new ZP([o],{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});sU(e,t,s,i),i.norm?(Kde(s),lU(r,s,i)):Yde(r,s)}}function Vdt(e,t,r,n,i){var a=new ZP(n,{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});sU(e,t,a,i),Zdt(a,t),i.norm?(Kde(a),lU(r,a,i)):Yde(r,a)}function Hdt(e,t,r,n,i){var a=new ZP(n,{posAxis:t,sepNegVal:i.mode===\"relative\",overlapNoMerge:!(i.norm||i.mode===\"stack\"||i.mode===\"relative\")});sU(e,t,a,i),Wdt(r,a,i);for(var o=0;o<n.length;o++)for(var s=n[o],l=s[0].t.offsetindex,u=0;u<s.length;u++){var c=s[u];if(c.s!==Q3){var f=c.b+c.s===a.get(c.p,l,c.s);f&&(c._outmost=!0)}}i.norm&&lU(r,a,i)}function sU(e,t,r,n){var i=e._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,l=r.traces,u=l.length,c=a.length!==o.length,f=s*(1-n.gap),h,d,v,x;if(t._id===\"angularaxis\")h=f,d=h*(1-(n.groupgap||0)),v=-d/2;else{var b=qdt(i,t._id)+l[0][0].trace.orientation;x=i._alignmentOpts[b]||{}}for(var g=0;g<u;g++){var E=l[g],k=E[0].trace;if(t._id!==\"angularaxis\"){var A=x[k.alignmentgroup]||{},L=Object.keys(A.offsetGroups||{}).length;L?h=f/L:h=c?f/u:f,d=h*(1-(n.groupgap||0)),L?v=((2*k._offsetIndex+1-L)*h-d)/2:v=c?((2*g+1-u)*h-d)/2:-d/2}var _=E[0].t;_.barwidth=d,_.offsetindex=k._offsetIndex||0,_.poffset=v,_.bargroupwidth=f,_.bardelta=s}r.binWidth=l[0][0].t.barwidth/100,Gdt(r),jdt(t,r),t._id===\"angularaxis\"?Xde(t,r):Xde(t,r,c)}function Gdt(e){var t=e.traces,r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0],o=a.trace,s=a.t,l=o._offset||o.offset,u=s.poffset,c;if(p_(l)){for(c=Array.prototype.slice.call(l,0,i.length),n=0;n<c.length;n++)O0(c[n])||(c[n]=u);for(n=c.length;n<i.length;n++)c.push(u);s.poffset=c}else l!==void 0&&(s.poffset=l);var f=o._width||o.width,h=s.barwidth;if(p_(f)){var d=Array.prototype.slice.call(f,0,i.length);for(n=0;n<d.length;n++)O0(d[n])||(d[n]=h);for(n=d.length;n<i.length;n++)d.push(h);if(s.barwidth=d,l===void 0){for(c=[],n=0;n<i.length;n++)c.push(u+(h-d[n])/2);s.poffset=c}}else f!==void 0&&(s.barwidth=f,l===void 0&&(s.poffset=u+(h-f)/2))}}function jdt(e,t){for(var r=t.traces,n=eT(e),i=0;i<r.length;i++)for(var a=r[i],o=a[0].t,s=o.poffset,l=p_(s),u=o.barwidth,c=p_(u),f=0;f<a.length;f++){var h=a[f],d=h.w=c?u[f]:u;h.p===void 0&&(h.p=h[n],h[\"orig_\"+n]=h[n]);var v=(l?s[f]:s)+d/2;h[n]=h.p+v}}function Xde(e,t,r){var n=t.traces,i=t.minDiff,a=i/2;jM.minDtick(e,t.minDiff,t.distinctPositions[0],r);for(var o=0;o<n.length;o++){var s=n[o],l=s[0],u=l.trace,c=[],f,h,d,v;for(v=0;v<s.length;v++)f=s[v],h=f.p-a,d=f.p+a,c.push(h,d);if(u.width||u.offset){var x=l.t,b=x.poffset,g=x.barwidth,E=p_(b),k=p_(g);for(v=0;v<s.length;v++){f=s[v];var A=E?b[v]:b,L=k?g[v]:g;h=f.p+A,d=h+L,c.push(h,d)}}u._extremes[e._id]=jM.findExtremes(e,c,{padded:!1})}}function Yde(e,t){for(var r=t.traces,n=eT(e),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,s=o.type===\"scatter\",l=o.orientation===\"v\",u=[],c=!1,f=0;f<a.length;f++){var 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i)s=i[u],s._scene&&s._scene.destroy();if(o.xaxis&&o.yaxis){var h=g_.listIds({_fullLayout:n});for(l=0;l<h.length;l++){var d=h[l];t[g_.id2name(d)]||n._infolayer.selectAll(\".g-\"+d+\"title\").remove()}}var v=n._has&&n._has(\"cartesian\"),x=t._has&&t._has(\"cartesian\");if(v&&!x)$ve(n._cartesianlayer.selectAll(\".subplot\"),n),n._defs.selectAll(\".axesclip\").remove(),delete n._axisConstraintGroups,delete n._axisMatchGroups;else if(o.cartesian)for(l=0;l<o.cartesian.length;l++){var b=o.cartesian[l];if(b.indexOf(Zb)===-1&&!a[b]){var g=\".\"+b+\",.\"+b+\"-x,.\"+b+\"-y\";n._cartesianlayer.selectAll(g).remove(),Qve(b,n)}}};yv.drawFramework=function(e){var t=e._fullLayout,r=e.calcdata,n,i={};for(n=0;n<r.length;n++){var a=r[n][0],o=a.trace,s=o.zorder||0;i[s]||(i[s]=[]),i[s].push(a)}var l=Object.keys(i).map(Number).sort(Wb.sorterAsc);l.length||(l=[0]),t._zindices=l;var u=Nvt(e),c=u.length,f=[];for(n=0;n<c;n++)f[n]=u[n].slice();for(var h=1;h<l.length;h++){var d=[];for(n=0;n<c;n++)d[n]=u[n].slice(),d[n][0]+=Zb+(h+1);f=f.concat(d)}var v=t._cartesianlayer.selectAll(\".subplot\").data(f,String);v.enter().append(\"g\").attr(\"class\",function(x){return\"subplot \"+x[0]}),v.order(),v.exit().call($ve,t),v.each(function(x){var b=x[0],g=b.indexOf(Zb),E=g!==-1,k=E?b.slice(0,g):b,A=t._plots[b];A||(A=Wb.extendFlat({},t._plots[k]),A&&(A.id=b,t._plots[b]=A,t._subplots.cartesian.push(b))),A&&(A.plotgroup=lI.select(this),Jve(e,A),E||(A.draglayer=Fl(t._draggers,\"g\",b)))})};yv.rangePlot=function(e,t,r){Jve(e,t),Kve(e,t,r),qvt.style(e)};function Nvt(e){var t=e._fullLayout,r=t._zindices.length,n=t._subplots.cartesian,i=n.length,a,o,s,l,u,c,f=[],h=[];for(a=0;a<i;a++){s=n[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;var d=u._mainAxis,v=c._mainAxis,x=d._id+v._id,b=t._plots[x];l.overlays=[],x!==s&&b?(l.mainplot=x,l.mainplotinfo=b,h.push(s)):(l.mainplot=void 0,l.mainplotinfo=void 0,f.push(s))}for(a=0;a<h.length;a++)s=h[a],l=t._plots[s],l.mainplotinfo.overlays.push(l);var g=f.concat(h),E=[];for(a=0;a<i;a++){s=g[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;for(var k=[],A=1;A<=r;A++){var L=\"\";for(A>1&&(L+=Zb+A),k.push(s+L),o=0;o<l.overlays.length;o++)k.push(l.overlays[o].id+L)}k=k.concat([u.layer,c.layer,u.overlaying||\"\",c.overlaying||\"\"]),E.push(k)}return E}function Jve(e,t){var r=e._fullLayout,n=t.plotgroup,i=t.id,a=i.indexOf(Zb),o=a!==-1,s=zg.layerValue2layerClass[t.xaxis.layer],l=zg.layerValue2layerClass[t.yaxis.layer],u=r._hasOnlyLargeSploms,c=r._zindices.length>1,f=t.mainplotinfo;if(!t.mainplot||c)if(u)t.xlines=Fl(n,\"path\",\"xlines-above\"),t.ylines=Fl(n,\"path\",\"ylines-above\"),t.xaxislayer=Fl(n,\"g\",\"xaxislayer-above\"),t.yaxislayer=Fl(n,\"g\",\"yaxislayer-above\");else{if(!o){var h=Fl(n,\"g\",\"layer-subplot\");t.shapelayer=Fl(h,\"g\",\"shapelayer\"),t.imagelayer=Fl(h,\"g\",\"imagelayer\"),f&&c?(t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer):(t.minorGridlayer=Fl(n,\"g\",\"minor-gridlayer\"),t.gridlayer=Fl(n,\"g\",\"gridlayer\"),t.zerolinelayer=Fl(n,\"g\",\"zerolinelayer\"));var d=Fl(n,\"g\",\"layer-between\");t.shapelayerBetween=Fl(d,\"g\",\"shapelayer\"),t.imagelayerBetween=Fl(d,\"g\",\"imagelayer\"),Fl(n,\"path\",\"xlines-below\"),Fl(n,\"path\",\"ylines-below\"),t.overlinesBelow=Fl(n,\"g\",\"overlines-below\"),Fl(n,\"g\",\"xaxislayer-below\"),Fl(n,\"g\",\"yaxislayer-below\"),t.overaxesBelow=Fl(n,\"g\",\"overaxes-below\")}t.overplot=Fl(n,\"g\",\"overplot\"),t.plot=Fl(t.overplot,\"g\",i),o||(t.xlines=Fl(n,\"path\",\"xlines-above\"),t.ylines=Fl(n,\"path\",\"ylines-above\"),t.overlinesAbove=Fl(n,\"g\",\"overlines-above\"),Fl(n,\"g\",\"xaxislayer-above\"),Fl(n,\"g\",\"yaxislayer-above\"),t.overaxesAbove=Fl(n,\"g\",\"overaxes-above\"),t.xlines=n.select(\".xlines-\"+s),t.ylines=n.select(\".ylines-\"+l),t.xaxislayer=n.select(\".xaxislayer-\"+s),t.yaxislayer=n.select(\".yaxislayer-\"+l))}else{var v=f.plotgroup,x=i+\"-x\",b=i+\"-y\";t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer,Fl(f.overlinesBelow,\"path\",x),Fl(f.overlinesBelow,\"path\",b),Fl(f.overaxesBelow,\"g\",x),Fl(f.overaxesBelow,\"g\",b),t.plot=Fl(f.overplot,\"g\",i),Fl(f.overlinesAbove,\"path\",x),Fl(f.overlinesAbove,\"path\",b),Fl(f.overaxesAbove,\"g\",x),Fl(f.overaxesAbove,\"g\",b),t.xlines=v.select(\".overlines-\"+s).select(\".\"+x),t.ylines=v.select(\".overlines-\"+l).select(\".\"+b),t.xaxislayer=v.select(\".overaxes-\"+s).select(\".\"+x),t.yaxislayer=v.select(\".overaxes-\"+l).select(\".\"+b)}o||(u||(sI(t.minorGridlayer,\"g\",t.xaxis._id),sI(t.minorGridlayer,\"g\",t.yaxis._id),t.minorGridlayer.selectAll(\"g\").map(function(g){return g[0]}).sort(g_.idSort),sI(t.gridlayer,\"g\",t.xaxis._id),sI(t.gridlayer,\"g\",t.yaxis._id),t.gridlayer.selectAll(\"g\").map(function(g){return g[0]}).sort(g_.idSort)),t.xlines.style(\"fill\",\"none\").classed(\"crisp\",!0),t.ylines.style(\"fill\",\"none\").classed(\"crisp\",!0))}function $ve(e,t){if(e){var r={};e.each(function(l){var u=l[0],c=lI.select(this);c.remove(),Qve(u,t),r[u]=!0});for(var n in t._plots)for(var i=t._plots[n],a=i.overlays||[],o=0;o<a.length;o++){var s=a[o];r[s.id]&&s.plot.selectAll(\".trace\").remove()}}}function Qve(e,t){t._draggers.selectAll(\"g.\"+e).remove(),t._defs.select(\"#clip\"+t._uid+e+\"plot\").remove()}yv.toSVG=function(e){var t=e._fullLayout._glimages,r=lI.select(e).selectAll(\".svg-container\"),n=r.filter(function(a,o){return o===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\");function i(){var a=this,o=a.toDataURL(\"image/png\"),s=t.append(\"svg:image\");s.attr({xmlns:Bvt.svg,\"xlink:href\":o,preserveAspectRatio:\"none\",x:0,y:0,width:a.style.width,height:a.style.height})}n.each(i)};yv.updateFx=zN().updateFx});var tpe=ye((jnr,epe)=>{\"use strict\";var uI=lu();epe.exports={hasLines:uI.hasLines,hasMarkers:uI.hasMarkers,hasText:uI.hasText,isBubble:uI.isBubble,attributes:Uc(),layoutAttributes:U6(),supplyDefaults:Ede(),crossTraceDefaults:$N(),supplyLayoutDefaults:Pde(),calc:q0().calc,crossTraceCalc:tve(),arraysToCalcdata:km(),plot:iT(),colorbar:Kd(),formatLabels:JP(),style:op().style,styleOnSelect:op().styleOnSelect,hoverPoints:sT(),selectPoints:lT(),animatable:!0,moduleType:\"trace\",name:\"scatter\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\",\"zoomScale\"],meta:{}}});var npe=ye((Wnr,ipe)=>{\"use strict\";var Uvt=xa(),Vvt=va(),rpe=MN(),wU=Mr(),Hvt=wU.strScale,Gvt=wU.strRotate,jvt=wU.strTranslate;ipe.exports=function(t,r,n){var i=t.node(),a=rpe[n.arrowhead||0],o=rpe[n.startarrowhead||0],s=(n.arrowwidth||1)*(n.arrowsize||1),l=(n.arrowwidth||1)*(n.startarrowsize||1),u=r.indexOf(\"start\")>=0,c=r.indexOf(\"end\")>=0,f=a.backoff*s+n.standoff,h=o.backoff*l+n.startstandoff,d,v,x,b;if(i.nodeName===\"line\"){d={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},v={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var g=d.x-v.x,E=d.y-v.y;if(x=Math.atan2(E,g),b=x+Math.PI,f&&h&&f+h>Math.sqrt(g*g+E*E)){V();return}if(f){if(f*f>g*g+E*E){V();return}var k=f*Math.cos(x),A=f*Math.sin(x);v.x+=k,v.y+=A,t.attr({x2:v.x,y2:v.y})}if(h){if(h*h>g*g+E*E){V();return}var L=h*Math.cos(x),_=h*Math.sin(x);d.x-=L,d.y-=_,t.attr({x1:d.x,y1:d.y})}}else if(i.nodeName===\"path\"){var C=i.getTotalLength(),M=\"\";if(C<f+h){V();return}var p=i.getPointAtLength(0),P=i.getPointAtLength(.1);x=Math.atan2(p.y-P.y,p.x-P.x),d=i.getPointAtLength(Math.min(h,C)),M=\"0px,\"+h+\"px,\";var T=i.getPointAtLength(C),F=i.getPointAtLength(C-.1);b=Math.atan2(T.y-F.y,T.x-F.x),v=i.getPointAtLength(Math.max(0,C-f));var q=M?h+f:f;M+=C-q+\"px,\"+C+\"px\",t.style(\"stroke-dasharray\",M)}function V(){t.style(\"stroke-dasharray\",\"0px,100px\")}function H(X,G,N,W){X.path&&(X.noRotate&&(N=0),Uvt.select(i.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:X.path,transform:jvt(G.x,G.y)+Gvt(N*180/Math.PI)+Hvt(W)}).style({fill:Vvt.rgb(n.arrowcolor),\"stroke-width\":0}))}u&&H(o,d,x,l),c&&H(a,v,b,s)}});var cI=ye((Znr,upe)=>{\"use strict\";var ape=xa(),TU=ba(),Wvt=Xu(),y_=Mr(),AU=y_.strTranslate,QM=Qa(),Xb=va(),Py=ao(),ope=Nc(),SU=Ll(),MU=Tg(),$M=gv(),Zvt=Vs().arrayEditor,Xvt=npe();upe.exports={draw:Yvt,drawOne:spe,drawRaw:lpe};function Yvt(e){var t=e._fullLayout;t._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<t.annotations.length;r++)t.annotations[r].visible&&spe(e,r);return Wvt.previousPromises(e)}function spe(e,t){var r=e._fullLayout,n=r.annotations[t]||{},i=QM.getFromId(e,n.xref),a=QM.getFromId(e,n.yref);i&&i.setScale(),a&&a.setScale(),lpe(e,n,t,!1,i,a)}function m_(e,t,r,n,i){var a=i[r],o=i[r+\"ref\"],s=r.indexOf(\"y\")!==-1,l=QM.getRefType(o)===\"domain\",u=s?n.h:n.w;return e?l?a+(s?-t:t)/e._length:e.p2r(e.r2p(a)+t):a+(s?-t:t)/u}function lpe(e,t,r,n,i,a){var o=e._fullLayout,s=e._fullLayout._size,l=e._context.edits,u,c;n?(u=\"annotation-\"+n,c=n+\".annotations\"):(u=\"annotation\",c=\"annotations\");var f=Zvt(e.layout,c,t),h=f.modifyBase,d=f.modifyItem,v=f.getUpdateObj;o._infolayer.selectAll(\".\"+u+'[data-index=\"'+r+'\"]').remove();var x=\"clip\"+o._uid+\"_ann\"+r;if(!t._input||t.visible===!1){ape.selectAll(\"#\"+x).remove();return}var b={x:{},y:{}},g=+t.textangle||0,E=o._infolayer.append(\"g\").classed(u,!0).attr(\"data-index\",String(r)).style(\"opacity\",t.opacity),k=E.append(\"g\").classed(\"annotation-text-g\",!0),A=l[t.showarrow?\"annotationTail\":\"annotationPosition\"],L=t.captureevents||l.annotationText||A;function _(W){var re={index:r,annotation:t._input,fullAnnotation:t,event:W};return n&&(re.subplotId=n),re}var C=k.append(\"g\").style(\"pointer-events\",L?\"all\":null).call(MU,\"pointer\").on(\"click\",function(){e._dragging=!1,e.emit(\"plotly_clickannotation\",_(ape.event))});t.hovertext&&C.on(\"mouseover\",function(){var W=t.hoverlabel,re=W.font,ae=this.getBoundingClientRect(),_e=e.getBoundingClientRect();ope.loneHover({x0:ae.left-_e.left,x1:ae.right-_e.left,y:(ae.top+ae.bottom)/2-_e.top,text:t.hovertext,color:W.bgcolor,borderColor:W.bordercolor,fontFamily:re.family,fontSize:re.size,fontColor:re.color,fontWeight:re.weight,fontStyle:re.style,fontVariant:re.variant,fontShadow:re.fontShadow,fontLineposition:re.fontLineposition,fontTextcase:re.fontTextcase},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:e})}).on(\"mouseout\",function(){ope.loneUnhover(o._hoverlayer.node())});var M=t.borderwidth,p=t.borderpad,P=M+p,T=C.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",M+\"px\").call(Xb.stroke,t.bordercolor).call(Xb.fill,t.bgcolor),F=t.width||t.height,q=o._topclips.selectAll(\"#\"+x).data(F?[0]:[]);q.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",x).append(\"rect\"),q.exit().remove();var V=t.font,H=o._meta?y_.templateString(t.text,o._meta):t.text,X=C.append(\"text\").classed(\"annotation-text\",!0).text(H);function G(W){return W.call(Py.font,V).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[t.align]||\"middle\"}),SU.convertToTspans(W,e,N),W}function N(){var W=X.selectAll(\"a\");if(W.size()===1&&W.text()===X.text()){var re=C.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":W.attr(\"xlink:href\"),\"xlink:xlink:show\":W.attr(\"xlink:show\")}).style({cursor:\"pointer\"});re.node().appendChild(T.node())}var ae=C.select(\".annotation-text-math-group\"),_e=!ae.empty(),Me=Py.bBox((_e?ae:X).node()),ke=Me.width,ge=Me.height,ie=t.width||ke,Te=t.height||ge,Ee=Math.round(ie+2*P),Ae=Math.round(Te+2*P);function ze(Ve,Xe){return Xe===\"auto\"&&(Ve<1/3?Xe=\"left\":Ve>2/3?Xe=\"right\":Xe=\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[Xe]}for(var Ce=!1,me=[\"x\",\"y\"],Re=0;Re<me.length;Re++){var ce=me[Re],Ge=t[ce+\"ref\"]||ce,nt=t[\"a\"+ce+\"ref\"],ct={x:i,y:a}[ce],qt=(g+(ce===\"x\"?0:-90))*Math.PI/180,rt=Ee*Math.cos(qt),ot=Ae*Math.sin(qt),Rt=Math.abs(rt)+Math.abs(ot),kt=t[ce+\"anchor\"],Ct=t[ce+\"shift\"]*(ce===\"x\"?1:-1),Yt=b[ce],xr,er,Ke,xt,bt,Lt=QM.getRefType(Ge);if(ct&&Lt!==\"domain\"){var St=ct.r2fraction(t[ce]);(St<0||St>1)&&(nt===Ge?(St=ct.r2fraction(t[\"a\"+ce]),(St<0||St>1)&&(Ce=!0)):Ce=!0),xr=ct._offset+ct.r2p(t[ce]),xt=.5}else{var Et=Lt===\"domain\";ce===\"x\"?(Ke=t[ce],xr=Et?ct._offset+ct._length*Ke:xr=s.l+s.w*Ke):(Ke=1-t[ce],xr=Et?ct._offset+ct._length*Ke:xr=s.t+s.h*Ke),xt=t.showarrow?.5:Ke}if(t.showarrow){Yt.head=xr;var dt=t[\"a\"+ce];if(bt=rt*ze(.5,t.xanchor)-ot*ze(.5,t.yanchor),nt===Ge){var Ht=QM.getRefType(nt);Ht===\"domain\"?(ce===\"y\"&&(dt=1-dt),Yt.tail=ct._offset+ct._length*dt):Ht===\"paper\"?ce===\"y\"?(dt=1-dt,Yt.tail=s.t+s.h*dt):Yt.tail=s.l+s.w*dt:Yt.tail=ct._offset+ct.r2p(dt),er=bt}else Yt.tail=xr+dt,er=bt+dt;Yt.text=Yt.tail+bt;var $t=o[ce===\"x\"?\"width\":\"height\"];if(Ge===\"paper\"&&(Yt.head=y_.constrain(Yt.head,1,$t-1)),nt===\"pixel\"){var fr=-Math.max(Yt.tail-3,Yt.text),_r=Math.min(Yt.tail+3,Yt.text)-$t;fr>0?(Yt.tail+=fr,Yt.text+=fr):_r>0&&(Yt.tail-=_r,Yt.text-=_r)}Yt.tail+=Ct,Yt.head+=Ct}else bt=Rt*ze(xt,kt),er=bt,Yt.text=xr+bt;Yt.text+=Ct,bt+=Ct,er+=Ct,t[\"_\"+ce+\"padplus\"]=Rt/2+er,t[\"_\"+ce+\"padminus\"]=Rt/2-er,t[\"_\"+ce+\"size\"]=Rt,t[\"_\"+ce+\"shift\"]=bt}if(Ce){C.remove();return}var Br=0,Or=0;if(t.align!==\"left\"&&(Br=(ie-ke)*(t.align===\"center\"?.5:1)),t.valign!==\"top\"&&(Or=(Te-ge)*(t.valign===\"middle\"?.5:1)),_e)ae.select(\"svg\").attr({x:P+Br-1,y:P+Or}).call(Py.setClipUrl,F?x:null,e);else{var 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s0e=ye((par,o0e)=>{\"use strict\";var Dpt=Mr(),OU=Qa(),zpt=Zd(),Fpt=qU(),qpt=\"images\";o0e.exports=function(t,r){var n={name:qpt,handleItemDefaults:Opt};zpt(t,r,n)};function Opt(e,t,r){function n(h,d){return Dpt.coerce(e,t,Fpt,h,d)}var i=n(\"source\"),a=n(\"visible\",!!i);if(!a)return t;n(\"layer\"),n(\"xanchor\"),n(\"yanchor\"),n(\"sizex\"),n(\"sizey\"),n(\"sizing\"),n(\"opacity\");for(var o={_fullLayout:r},s=[\"x\",\"y\"],l=0;l<2;l++){var u=s[l],c=OU.coerceRef(e,t,o,u,\"paper\",void 0);if(c!==\"paper\"){var f=OU.getFromId(o,c);f._imgIndices.push(t._index)}OU.coercePosition(t,o,n,c,u,0)}return t}});var f0e=ye((gar,c0e)=>{\"use strict\";var l0e=xa(),Bpt=ao(),vT=Qa(),u0e=af(),Npt=Zp();c0e.exports=function(t){var r=t._fullLayout,n=[],i={},a=[],o,s;for(s=0;s<r.images.length;s++){var l=r.images[s];if(l.visible)if(l.layer===\"below\"&&l.xref!==\"paper\"&&l.yref!==\"paper\"){o=u0e.ref2id(l.xref)+u0e.ref2id(l.yref);var 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_=h||x;_?(E=s,k=E+b,h?(A=u,L=Math.min(A+g,o),g=L-A):(L=u+g,A=Math.max(L-g,0),g=L-A)):(A=u,L=A+g,d?(k=s+b,E=Math.max(k-b,0),b=k-E):(E=s,k=Math.min(E+b,a),b=k-E)),this._box={l:E,t:A,w:b,h:g};var C=l>b,M=of.barLength+2*of.barPad,p=of.barWidth+2*of.barPad,P=s,T=u+c;T+p>o&&(T=o-p);var F=this.container.selectAll(\"rect.scrollbar-horizontal\").data(C?[0]:[]);F.exit().on(\".drag\",null).remove(),F.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(A0e.fill,of.barColor),C?(this.hbar=F.attr({rx:of.barRadius,ry:of.barRadius,x:P,y:T,width:M,height:p}),this._hbarXMin=P+M/2,this._hbarTranslateMax=b-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var q=c>g,V=of.barWidth+2*of.barPad,H=of.barLength+2*of.barPad,X=s+l,G=u;X+V>a&&(X=a-V);var N=this.container.selectAll(\"rect.scrollbar-vertical\").data(q?[0]:[]);N.exit().on(\".drag\",null).remove(),N.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(A0e.fill,of.barColor),q?(this.vbar=N.attr({rx:of.barRadius,ry:of.barRadius,x:X,y:G,width:V,height:H}),this._vbarYMin=G+H/2,this._vbarTranslateMax=g-H):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var W=this.id,re=E-.5,ae=q?k+V+.5:k+.5,_e=A-.5,Me=C?L+p+.5:L+.5,ke=i._topdefs.selectAll(\"#\"+W).data(C||q?[0]:[]);if(ke.exit().remove(),ke.enter().append(\"clipPath\").attr(\"id\",W).append(\"rect\"),C||q?(this._clipRect=ke.select(\"rect\").attr({x:Math.floor(re),y:Math.floor(_e),width:Math.ceil(ae)-Math.floor(re),height:Math.ceil(Me)-Math.floor(_e)}),this.container.call(pT.setClipUrl,W,this.gd),this.bg.attr({x:s,y:u,width:l,height:c})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(pT.setClipUrl,null),delete this._clipRect),C||q){var ge=qg.behavior.drag().on(\"dragstart\",function(){qg.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(ge);var ie=qg.behavior.drag().on(\"dragstart\",function(){qg.event.sourceEvent.preventDefault(),qg.event.sourceEvent.stopPropagation()}).on(\"drag\",this._onBarDrag.bind(this));C&&this.hbar.on(\".drag\",null).call(ie),q&&this.vbar.on(\".drag\",null).call(ie)}this.setTranslate(r,n)};of.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(pT.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)};of.prototype._onBoxDrag=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t-=qg.event.dx),this.vbar&&(r-=qg.event.dy),this.setTranslate(t,r)};of.prototype._onBoxWheel=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t+=qg.event.deltaY),this.vbar&&(r+=qg.event.deltaY),this.setTranslate(t,r)};of.prototype._onBarDrag=function(){var t=this.translateX,r=this.translateY;if(this.hbar){var n=t+this._hbarXMin,i=n+this._hbarTranslateMax,a=vI.constrain(qg.event.x,n,i),o=(a-n)/(i-n),s=this.position.w-this._box.w;t=o*s}if(this.vbar){var l=r+this._vbarYMin,u=l+this._vbarTranslateMax,c=vI.constrain(qg.event.y,l,u),f=(c-l)/(u-l),h=this.position.h-this._box.h;r=f*h}this.setTranslate(t,r)};of.prototype.setTranslate=function(t,r){var n=this.position.w-this._box.w,i=this.position.h-this._box.h;if(t=vI.constrain(t||0,0,n),r=vI.constrain(r||0,0,i),this.translateX=t,this.translateY=r,this.container.call(pT.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-r),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+r-.5)}),this.hbar){var a=t/n;this.hbar.call(pT.setTranslate,t+a*this._hbarTranslateMax,r)}if(this.vbar){var o=r/i;this.vbar.call(pT.setTranslate,t,r+o*this._vbarTranslateMax)}}});var F0e=ye((Tar,z0e)=>{\"use strict\";var gT=xa(),t4=Xu(),r4=va(),mT=ao(),e0=Mr(),pI=Ll(),Qpt=Vs().arrayEditor,k0e=Nh().LINE_SPACING,Go=hI(),e0t=M0e();z0e.exports=function(t){var r=t._fullLayout,n=e0.filterVisible(r[Go.name]);function i(h){t4.autoMargin(t,R0e(h))}var a=r._menulayer.selectAll(\"g.\"+Go.containerClassName).data(n.length>0?[0]:[]);if(a.enter().append(\"g\").classed(Go.containerClassName,!0).style(\"cursor\",\"pointer\"),a.exit().each(function(){gT.select(this).selectAll(\"g.\"+Go.headerGroupClassName).each(i)}).remove(),n.length!==0){var o=a.selectAll(\"g.\"+Go.headerGroupClassName).data(n,t0t);o.enter().append(\"g\").classed(Go.headerGroupClassName,!0);for(var s=e0.ensureSingle(a,\"g\",Go.dropdownButtonGroupClassName,function(h){h.style(\"pointer-events\",\"all\")}),l=0;l<n.length;l++){var u=n[l];s0t(t,u)}var c=\"updatemenus\"+r._uid,f=new e0t(t,s,c);o.enter().size()&&(s.node().parentNode.appendChild(s.node()),s.call(UU)),o.exit().each(function(h){s.call(UU),i(h)}).remove(),o.each(function(h){var d=gT.select(this),v=h.type===\"dropdown\"?s:null;t4.manageCommandObserver(t,h,h.buttons,function(x){NU(t,h,h.buttons[x.index],d,v,f,x.index,!0)}),h.type===\"dropdown\"?(L0e(t,d,s,f,h),C0e(s,h)&&i4(t,d,s,f,h)):i4(t,d,null,null,h)})}};function t0t(e){return e._index}function r0t(e){return+e.attr(Go.menuIndexAttrName)==-1}function C0e(e,t){return+e.attr(Go.menuIndexAttrName)===t._index}function NU(e,t,r,n,i,a,o,s){t.active=o,Qpt(e.layout,Go.name,t).applyUpdate(\"active\",o),t.type===\"buttons\"?i4(e,n,null,null,t):t.type===\"dropdown\"&&(i.attr(Go.menuIndexAttrName,\"-1\"),L0e(e,n,i,a,t),s||i4(e,n,i,a,t))}function L0e(e,t,r,n,i){var a=e0.ensureSingle(t,\"g\",Go.headerClassName,function(h){h.style(\"pointer-events\",\"all\")}),o=i._dims,s=i.active,l=i.buttons[s]||Go.blankHeaderOpts,u={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},c={width:o.headerWidth,height:o.headerHeight};a.call(VU,i,l,e).call(D0e,i,u,c);var f=e0.ensureSingle(t,\"text\",Go.headerArrowClassName,function(h){h.attr(\"text-anchor\",\"end\").call(mT.font,i.font).text(Go.arrowSymbol[i.direction])});f.attr({x:o.headerWidth-Go.arrowOffsetX+i.pad.l,y:o.headerHeight/2+Go.textOffsetY+i.pad.t}),a.on(\"click\",function(){r.call(UU,String(C0e(r,i)?-1:i._index)),i4(e,t,r,n,i)}),a.on(\"mouseover\",function(){a.call(P0e)}),a.on(\"mouseout\",function(){a.call(I0e,i)}),mT.setTranslate(t,o.lx,o.ly)}function i4(e,t,r,n,i){r||(r=t,r.attr(\"pointer-events\",\"all\"));var a=!r0t(r)||i.type===\"buttons\"?i.buttons:[],o=i.type===\"dropdown\"?Go.dropdownButtonClassName:Go.buttonClassName,s=r.selectAll(\"g.\"+o).data(e0.filterVisible(a)),l=s.enter().append(\"g\").classed(o,!0),u=s.exit();i.type===\"dropdown\"?(l.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),u.transition().attr(\"opacity\",\"0\").remove()):u.remove();var c=0,f=0,h=i._dims,d=[\"up\",\"down\"].indexOf(i.direction)!==-1;i.type===\"dropdown\"&&(d?f=h.headerHeight+Go.gapButtonHeader:c=h.headerWidth+Go.gapButtonHeader),i.type===\"dropdown\"&&i.direction===\"up\"&&(f=-Go.gapButtonHeader+Go.gapButton-h.openHeight),i.type===\"dropdown\"&&i.direction===\"left\"&&(c=-Go.gapButtonHeader+Go.gapButton-h.openWidth);var v={x:h.lx+c+i.pad.l,y:h.ly+f+i.pad.t,yPad:Go.gapButton,xPad:Go.gapButton,index:0},x={l:v.x+i.borderwidth,t:v.y+i.borderwidth};s.each(function(b,g){var E=gT.select(this);E.call(VU,i,b,e).call(D0e,i,v),E.on(\"click\",function(){gT.event.defaultPrevented||(b.execute&&(b.args2&&i.active===g?(NU(e,i,b,t,r,n,-1),t4.executeAPICommand(e,b.method,b.args2)):(NU(e,i,b,t,r,n,g),t4.executeAPICommand(e,b.method,b.args))),e.emit(\"plotly_buttonclicked\",{menu:i,button:b,active:i.active}))}),E.on(\"mouseover\",function(){E.call(P0e)}),E.on(\"mouseout\",function(){E.call(I0e,i),s.call(E0e,i)})}),s.call(E0e,i),d?(x.w=Math.max(h.openWidth,h.headerWidth),x.h=v.y-x.t):(x.w=v.x-x.l,x.h=Math.max(h.openHeight,h.headerHeight)),x.direction=i.direction,n&&(s.size()?i0t(e,t,r,n,i,x):n0t(n))}function i0t(e,t,r,n,i,a){var o=i.direction,s=o===\"up\"||o===\"down\",l=i._dims,u=i.active,c,f,h;if(s)for(f=0,h=0;h<u;h++)f+=l.heights[h]+Go.gapButton;else for(c=0,h=0;h<u;h++)c+=l.widths[h]+Go.gapButton;n.enable(a,c,f),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}function n0t(e){var t=!!e.hbar,r=!!e.vbar;t&&e.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){t=!1,r||e.disable()}),r&&e.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,t||e.disable()})}function VU(e,t,r,n){e.call(a0t,t).call(o0t,t,r,n)}function a0t(e,t){var r=e0.ensureSingle(e,\"rect\",Go.itemRectClassName,function(n){n.attr({rx:Go.rx,ry:Go.ry,\"shape-rendering\":\"crispEdges\"})});r.call(r4.stroke,t.bordercolor).call(r4.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\")}function o0t(e,t,r,n){var i=e0.ensureSingle(e,\"text\",Go.itemTextClassName,function(s){s.attr({\"text-anchor\":\"start\",\"data-notex\":1})}),a=r.label,o=n._fullLayout._meta;o&&(a=e0.templateString(a,o)),i.call(mT.font,t.font).text(a).call(pI.convertToTspans,n)}function E0e(e,t){var r=t.active;e.each(function(n,i){var a=gT.select(this);i===r&&t.showactive&&a.select(\"rect.\"+Go.itemRectClassName).call(r4.fill,Go.activeColor)})}function P0e(e){e.select(\"rect.\"+Go.itemRectClassName).call(r4.fill,Go.hoverColor)}function I0e(e,t){e.select(\"rect.\"+Go.itemRectClassName).call(r4.fill,t.bgcolor)}function s0t(e,t){var r=t._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},n=mT.tester.selectAll(\"g.\"+Go.dropdownButtonClassName).data(e0.filterVisible(t.buttons));n.enter().append(\"g\").classed(Go.dropdownButtonClassName,!0);var i=[\"up\",\"down\"].indexOf(t.direction)!==-1;n.each(function(c,f){var h=gT.select(this);h.call(VU,t,c,e);var d=h.select(\".\"+Go.itemTextClassName),v=d.node()&&mT.bBox(d.node()).width,x=Math.max(v+Go.textPadX,Go.minWidth),b=t.font.size*k0e,g=pI.lineCount(d),E=Math.max(b*g,Go.minHeight)+Go.textOffsetY;E=Math.ceil(E),x=Math.ceil(x),r.widths[f]=x,r.heights[f]=E,r.height1=Math.max(r.height1,E),r.width1=Math.max(r.width1,x),i?(r.totalWidth=Math.max(r.totalWidth,x),r.openWidth=r.totalWidth,r.totalHeight+=E+Go.gapButton,r.openHeight+=E+Go.gapButton):(r.totalWidth+=x+Go.gapButton,r.openWidth+=x+Go.gapButton,r.totalHeight=Math.max(r.totalHeight,E),r.openHeight=r.totalHeight)}),i?r.totalHeight-=Go.gapButton:r.totalWidth-=Go.gapButton,r.headerWidth=r.width1+Go.arrowPadX,r.headerHeight=r.height1,t.type===\"dropdown\"&&(i?(r.width1+=Go.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=Go.arrowPadX),n.remove();var a=r.totalWidth+t.pad.l+t.pad.r,o=r.totalHeight+t.pad.t+t.pad.b,s=e._fullLayout._size;r.lx=s.l+s.w*t.x,r.ly=s.t+s.h*(1-t.y);var l=\"left\";e0.isRightAnchor(t)&&(r.lx-=a,l=\"right\"),e0.isCenterAnchor(t)&&(r.lx-=a/2,l=\"center\");var u=\"top\";e0.isBottomAnchor(t)&&(r.ly-=o,u=\"bottom\"),e0.isMiddleAnchor(t)&&(r.ly-=o/2,u=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),t4.autoMargin(e,R0e(t),{x:t.x,y:t.y,l:a*({right:1,center:.5}[l]||0),r:a*({left:1,center:.5}[l]||0),b:o*({top:1,middle:.5}[u]||0),t:o*({bottom:1,middle:.5}[u]||0)})}function R0e(e){return Go.autoMarginIdRoot+e._index}function D0e(e,t,r,n){n=n||{};var i=e.select(\".\"+Go.itemRectClassName),a=e.select(\".\"+Go.itemTextClassName),o=t.borderwidth,s=r.index,l=t._dims;mT.setTranslate(e,o+r.x,o+r.y);var u=[\"up\",\"down\"].indexOf(t.direction)!==-1,c=n.height||(u?l.heights[s]:l.height1);i.attr({x:0,y:0,width:n.width||(u?l.width1:l.widths[s]),height:c});var f=t.font.size*k0e,h=pI.lineCount(a),d=(h-1)*f/2;pI.positionText(a,Go.textOffsetX,c/2-d+Go.textOffsetY),u?r.y+=l.heights[s]+r.yPad:r.x+=l.widths[s]+r.xPad,r.index++}function UU(e,t){e.attr(Go.menuIndexAttrName,t||\"-1\").selectAll(\"g.\"+Go.dropdownButtonClassName).remove()}});var O0e=ye((Aar,q0e)=>{\"use strict\";var l0t=hI();q0e.exports={moduleType:\"component\",name:l0t.name,layoutAttributes:BU(),supplyLayoutDefaults:T0e(),draw:F0e()}});var n4=ye((Sar,B0e)=>{\"use strict\";B0e.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}});var HU=ye((Mar,V0e)=>{\"use strict\";var N0e=Su(),u0t=b6(),c0t=no().extendDeepAll,f0t=Bu().overrideAll,h0t=zS(),U0e=Vs().templatedArray,Jb=n4(),d0t=U0e(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});V0e.exports=f0t(U0e(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:d0t,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:c0t(u0t({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:h0t.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:N0e({})},font:N0e({}),activebgcolor:{valType:\"color\",dflt:Jb.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:Jb.railBgColor},bordercolor:{valType:\"color\",dflt:Jb.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:Jb.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:Jb.tickLength},tickcolor:{valType:\"color\",dflt:Jb.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:Jb.minorTickLength}}),\"arraydraw\",\"from-root\")});var W0e=ye((Ear,j0e)=>{\"use strict\";var yT=Mr(),H0e=Zd(),G0e=HU(),v0t=n4(),p0t=v0t.name,g0t=G0e.steps;j0e.exports=function(t,r){H0e(t,r,{name:p0t,handleItemDefaults:m0t})};function m0t(e,t,r){function n(f,h){return yT.coerce(e,t,G0e,f,h)}for(var i=H0e(e,t,{name:\"steps\",handleItemDefaults:y0t}),a=0,o=0;o<i.length;o++)i[o].visible&&a++;var s;if(a<2?s=t.visible=!1:s=n(\"visible\"),!!s){t._stepCount=a;var l=t._visibleSteps=yT.filterVisible(i),u=n(\"active\");(i[u]||{}).visible||(t.active=l[0]._index),n(\"x\"),n(\"y\"),yT.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"len\"),n(\"lenmode\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),yT.coerceFont(n,\"font\",r.font);var 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r=t._context.staticPlot,n=t._fullLayout,i=b0t(n,t),a=n._infolayer.selectAll(\"g.\"+gs.containerClassName).data(i.length>0?[0]:[]);a.enter().append(\"g\").classed(gs.containerClassName,!0).style(\"cursor\",r?null:\"ew-resize\");function o(c){c._commandObserver&&(c._commandObserver.remove(),delete c._commandObserver),gI.autoMargin(t,K0e(c))}if(a.exit().each(function(){Og.select(this).selectAll(\"g.\"+gs.groupClassName).each(o)}).remove(),i.length!==0){var s=a.selectAll(\"g.\"+gs.groupClassName).data(i,w0t);s.enter().append(\"g\").classed(gs.groupClassName,!0),s.exit().each(o).remove();for(var l=0;l<i.length;l++){var u=i[l];T0t(t,u)}s.each(function(c){var f=Og.select(this);k0t(c),gI.manageCommandObserver(t,c,c._visibleSteps,function(h){var d=f.data()[0];d.active!==h.index&&(d._dragging||$0e(t,f,d,h.index,!1,!0))}),A0t(t,Og.select(this),c)})}};function K0e(e){return gs.autoMarginIdRoot+e._index}function b0t(e,t){for(var r=e[gs.name],n=[],i=0;i<r.length;i++){var 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I0t=af(),R0t=Ll(),uge=_I(),D0t=Nh().LINE_SPACING,xI=uge.name;function cge(e){var t=e&&e[xI];return t&&t.visible}bI.isVisible=cge;bI.makeData=function(e){for(var t=I0t.list({_fullLayout:e},\"x\",!0),r=e.margin,n=[],i=0;i<t.length;i++){var a=t[i];if(cge(a)){n.push(a);var o=a[xI];o._id=xI+a._id,o._height=(e.height-r.b-r.t)*o.thickness,o._offsetShift=Math.floor(o.borderwidth/2)}}e._rangeSliderData=n};bI.autoMarginOpts=function(e,t){var r=e._fullLayout,n=t[xI],i=t._id.charAt(0),a=0,o=0;if(t.side===\"bottom\"&&(a=t._depth,t.title.text!==r._dfltTitle[i])){o=1.5*t.title.font.size+10+n._offsetShift;var s=(t.title.text.match(R0t.BR_TAG_ALL)||[]).length;o+=s*t.title.font.size*D0t}return{x:0,y:t._counterDomainMin,l:0,r:0,t:0,b:n._height+a+Math.max(r.margin.b,o),pad:uge.extraPad+n._offsetShift*2}}});var pge=ye((Dar,vge)=>{\"use strict\";var wI=Mr(),hge=Vs(),dge=af(),z0t=yI(),F0t=XU();vge.exports=function(t,r,n){var 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Or=Lt?Math.max(xt-10,0):0;e.selectAll(\".\"+Vc.cboutline).attr(\"x\",(n?_e:Te+d)+Or).attr(\"y\",(n?Te+v-N:_e)+(bt?rt:0)).attr(n?\"width\":\"height\",Math.max(X,2)).attr(n?\"height\":\"width\",Math.max(N-(n?2*v+rt:2*d+Or),2)).call(fV.stroke,t.outlinecolor).style({fill:\"none\",\"stroke-width\":l});var Nr=n?Me*Ht:0,ut=n?0:(1-ke)*Ht-St;if(Nr=E?A.l-Nr:-Nr,ut=g?A.t-ut:-ut,e.attr(\"transform\",Ug(Nr,ut)),!n&&(u||uV(c).getAlpha()&&!uV.equals(k.paper_bgcolor,c))){var Ne=ct.selectAll(\"text\"),Ye=Ne[0].length,Ve=e.select(\".\"+Vc.cbbg).node(),Xe=Ng.bBox(Ve),ht=Ng.getTranslate(e),Le=2;Ne.each(function(ri,bi){var nn=0,Wi=Ye-1;if(bi===nn||bi===Wi){var Ni=Ng.bBox(this),_n=Ng.getTranslate(this),$i;if(bi===Wi){var zn=Ni.right+_n.x,Wn=Xe.right+ht.x+Te-u-Le+x;$i=Wn-zn,$i>0&&($i=0)}else if(bi===nn){var It=Ni.left+_n.x,ft=Xe.left+ht.x+Te+u+Le;$i=ft-It,$i<0&&($i=0)}$i&&(Ye<3?this.setAttribute(\"transform\",\"translate(\"+$i+\",0) 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n=t.orientation===\"v\",i=r._fullLayout,a=i._size,o,s,l;LI.init({element:e.node(),gd:r,prepFn:function(){o=e.attr(\"transform\"),cV(e)},moveFn:function(u,c){e.attr(\"transform\",o+Ug(u,c)),s=LI.align((n?t._uFrac:t._vFrac)+u/a.w,n?t._thickFrac:t._lenFrac,0,1,t.xanchor),l=LI.align((n?t._vFrac:1-t._uFrac)-c/a.h,n?t._lenFrac:t._thickFrac,0,1,t.yanchor);var f=LI.getCursor(s,l,t.xanchor,t.yanchor);cV(e,f)},doneFn:function(){if(cV(e),s!==void 0&&l!==void 0){var u={};u[t._propPrefix+\"x\"]=s,u[t._propPrefix+\"y\"]=l,t._traceIndex!==void 0?dme.call(\"_guiRestyle\",r,u,t._traceIndex):dme.call(\"_guiRelayout\",r,u)}}})}function tmt(e,t,r){var n=t._levels,i=[],a=[],o,s,l=n.end+n.size/100,u=n.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(s=0;s<1e5&&(o=n.start+s*u,!(u>0?o>=l:o<=l));s++)o>c&&o<f&&i.push(o);if(t._fillgradient)a=[0];else if(typeof t._fillcolor==\"function\"){var h=t._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,s=0;s<1e5&&(o=h.start+s*u,!(u>0?o>=l:o<=l));s++)o>r[0]&&o<r[1]&&a.push(o);else a=i.map(function(d){return d-n.size/2}),a.push(a[a.length-1]+n.size)}else t._fillcolor&&typeof t._fillcolor==\"string\"&&(a=[0]);return n.size<0&&(i.reverse(),a.reverse()),{line:i,fill:a}}function rmt(e,t,r){var n=e._fullLayout,i=t.orientation===\"v\",a={type:\"linear\",range:r,tickmode:t.tickmode,nticks:t.nticks,tick0:t.tick0,dtick:t.dtick,tickvals:t.tickvals,ticktext:t.ticktext,ticks:t.ticks,ticklen:t.ticklen,tickwidth:t.tickwidth,tickcolor:t.tickcolor,showticklabels:t.showticklabels,labelalias:t.labelalias,ticklabelposition:t.ticklabelposition,ticklabeloverflow:t.ticklabeloverflow,ticklabelstep:t.ticklabelstep,tickfont:t.tickfont,tickangle:t.tickangle,tickformat:t.tickformat,exponentformat:t.exponentformat,minexponent:t.minexponent,separatethousands:t.separatethousands,showexponent:t.showexponent,showtickprefix:t.showtickprefix,tickprefix:t.tickprefix,showticksuffix:t.showticksuffix,ticksuffix:t.ticksuffix,title:t.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+t._id},l={letter:o,font:n.font,noAutotickangles:o===\"y\",noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function u(c,f){return 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Tf=Uc(),Hme=Oc().axisHoverFormat,vmt=Wo().hovertemplateAttrs,pmt=Wo().texttemplateAttrs,jme=Kl(),gmt=Su(),Gme=Qb(),mmt=Ed().pattern,e2=no().extendFlat,mV=gmt({editType:\"calc\",arrayOk:!0,colorEditType:\"style\"}),ymt=Tf.marker,_mt=ymt.line,xmt=e2({},_mt.width,{dflt:0}),bmt=e2({width:xmt,editType:\"calc\"},jme(\"marker.line\")),wmt=e2({line:bmt,editType:\"calc\"},jme(\"marker\"),{opacity:{valType:\"number\",arrayOk:!0,dflt:1,min:0,max:1,editType:\"style\"},pattern:mmt,cornerradius:{valType:\"any\",editType:\"calc\"}});Wme.exports={x:Tf.x,x0:Tf.x0,dx:Tf.dx,y:Tf.y,y0:Tf.y0,dy:Tf.dy,xperiod:Tf.xperiod,yperiod:Tf.yperiod,xperiod0:Tf.xperiod0,yperiod0:Tf.yperiod0,xperiodalignment:Tf.xperiodalignment,yperiodalignment:Tf.yperiodalignment,xhoverformat:Hme(\"x\"),yhoverformat:Hme(\"y\"),text:Tf.text,texttemplate:pmt({editType:\"plot\"},{keys:Gme.eventDataKeys}),hovertext:Tf.hovertext,hovertemplate:vmt({},{keys:Gme.eventDataKeys}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"calc\"},insidetextanchor:{valType:\"enumerated\",values:[\"end\",\"middle\",\"start\"],dflt:\"end\",editType:\"plot\"},textangle:{valType:\"angle\",dflt:\"auto\",editType:\"plot\"},textfont:e2({},mV,{}),insidetextfont:e2({},mV,{}),outsidetextfont:e2({},mV,{}),constraintext:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"both\",\"none\"],dflt:\"both\",editType:\"calc\"},cliponaxis:e2({},Tf.cliponaxis,{}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc+clearAxisTypes\"},base:{valType:\"any\",dflt:null,arrayOk:!0,editType:\"calc\"},offset:{valType:\"number\",dflt:null,arrayOk:!0,editType:\"calc\"},width:{valType:\"number\",dflt:null,min:0,arrayOk:!0,editType:\"calc\"},marker:wmt,offsetgroup:Tf.offsetgroup,alignmentgroup:Tf.alignmentgroup,selected:{marker:{opacity:Tf.selected.marker.opacity,color:Tf.selected.marker.color,editType:\"style\"},textfont:Tf.selected.textfont,editType:\"style\"},unselected:{marker:{opacity:Tf.unselected.marker.opacity,color:Tf.unselected.marker.color,editType:\"style\"},textfont:Tf.unselected.textfont,editType:\"style\"},zorder:Tf.zorder}});var DI=ye((dor,Zme)=>{\"use strict\";Zme.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}});var zI=ye((vor,Kme)=>{\"use strict\";var Tmt=va(),Xme=Dv().hasColorscale,Yme=Uh(),Amt=Mr().coercePattern;Kme.exports=function(t,r,n,i,a){var o=n(\"marker.color\",i),s=Xme(t,\"marker\");s&&Yme(t,r,a,n,{prefix:\"marker.\",cLetter:\"c\"}),n(\"marker.line.color\",Tmt.defaultLine),Xme(t,\"marker.line\")&&Yme(t,r,a,n,{prefix:\"marker.line.\",cLetter:\"c\"}),n(\"marker.line.width\"),n(\"marker.opacity\"),Amt(n,\"marker.pattern\",o,s),n(\"selected.marker.color\"),n(\"unselected.marker.color\")}});var r0=ye((por,rye)=>{\"use strict\";var Jme=uo(),xT=Mr(),$me=va(),Smt=ba(),Mmt=K3(),Emt=Pg(),kmt=zI(),Cmt=Hb(),Qme=Lm(),FI=xT.coerceFont;function Lmt(e,t,r,n){function i(u,c){return xT.coerce(e,t,Qme,u,c)}var a=Mmt(e,t,n,i);if(!a){t.visible=!1;return}Emt(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"zorder\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\");var o=i(\"textposition\");tye(e,t,n,i,o,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),kmt(e,t,i,r,n);var s=(t.marker.line||{}).color,l=Smt.getComponentMethod(\"errorbars\",\"supplyDefaults\");l(e,t,s||$me.defaultLine,{axis:\"y\"}),l(e,t,s||$me.defaultLine,{axis:\"x\",inherit:\"y\"}),xT.coerceSelectionMarkerOpacity(t,i)}function Pmt(e,t){var r,n;function i(s,l){return xT.coerce(n._input,n,Qme,s,l)}for(var a=0;a<e.length;a++)if(n=e[a],n.type===\"bar\"){r=n._input;var o=i(\"marker.cornerradius\",t.barcornerradius);n.marker&&(n.marker.cornerradius=eye(o)),Cmt(r,n,t,i,t.barmode)}}function eye(e){if(Jme(e)){if(e=+e,e>=0)return e}else if(typeof e==\"string\"&&(e=e.trim(),e.slice(-1)===\"%\"&&Jme(e.slice(0,-1))&&(e=+e.slice(0,-1),e>=0)))return e+\"%\"}function tye(e,t,r,n,i,a){a=a||{};var o=a.moduleHasSelected!==!1,s=a.moduleHasUnselected!==!1,l=a.moduleHasConstrain!==!1,u=a.moduleHasCliponaxis!==!1,c=a.moduleHasTextangle!==!1,f=a.moduleHasInsideanchor!==!1,h=!!a.hasPathbar,d=Array.isArray(i)||i===\"auto\",v=d||i===\"inside\",x=d||i===\"outside\";if(v||x){var b=FI(n,\"textfont\",r.font),g=xT.extendFlat({},b),E=e.textfont&&e.textfont.color,k=!E;if(k&&delete g.color,FI(n,\"insidetextfont\",g),h){var A=xT.extendFlat({},b);k&&delete A.color,FI(n,\"pathbar.textfont\",A)}x&&FI(n,\"outsidetextfont\",b),o&&n(\"selected.textfont.color\"),s&&n(\"unselected.textfont.color\"),l&&n(\"constraintext\"),u&&n(\"cliponaxis\"),c&&n(\"textangle\"),n(\"texttemplate\")}v&&f&&n(\"insidetextanchor\")}rye.exports={supplyDefaults:Lmt,crossTraceDefaults:Pmt,handleText:tye,validateCornerradius:eye}});var yV=ye((gor,iye)=>{\"use strict\";var Imt=ba(),Rmt=Qa(),Dmt=Mr(),zmt=DI(),Fmt=r0().validateCornerradius;iye.exports=function(e,t,r){function n(x,b){return Dmt.coerce(e,t,zmt,x,b)}for(var i=!1,a=!1,o=!1,s={},l=n(\"barmode\"),u=l===\"group\",c=0;c<r.length;c++){var f=r[c];if(Imt.traceIs(f,\"bar\")&&f.visible)i=!0;else continue;var h=f.xaxis+f.yaxis;if(u?(s[h]&&(o=!0),s[h]=!0):(h+=f._input.offsetgroup,s.length>0&&!s[h]&&(o=!0),s[h]=!0),f.visible&&f.type===\"histogram\"){var d=Rmt.getFromId({_fullLayout:t},f[f.orientation===\"v\"?\"xaxis\":\"yaxis\"]);d.type!==\"category\"&&(a=!0)}}if(!i){delete t.barmode;return}l!==\"overlay\"&&n(\"barnorm\"),n(\"bargap\",a&&!o?0:.2),n(\"bargroupgap\");var v=n(\"barcornerradius\");t.barcornerradius=Fmt(v)}});var c4=ye((mor,nye)=>{\"use strict\";var bT=Mr();nye.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;bT.mergeArray(r.text,t,\"tx\"),bT.mergeArray(r.hovertext,t,\"htx\");var i=r.marker;if(i){bT.mergeArray(i.opacity,t,\"mo\",!0),bT.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(bT.mergeArray(a.color,t,\"mlc\"),bT.mergeArrayCastPositive(a.width,t,\"mlw\"))}}});var cye=ye((yor,uye)=>{\"use strict\";var aye=Qa(),oye=Rg(),sye=Dv().hasColorscale,lye=zv(),qmt=c4(),Omt=F0();uye.exports=function(t,r){var n=aye.getFromId(t,r.xaxis||\"x\"),i=aye.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f={msUTC:!!(r.base||r.base===0)};r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\",f),s=i.makeCalcdata(r,\"y\"),l=oye(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\",f),s=n.makeCalcdata(r,\"x\"),l=oye(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var h=Math.min(o.length,a.length),d=new Array(h),v=0;v<h;v++)d[v]={p:o[v],s:a[v]},u&&(d[v].orig_p=s[v],d[v][c+\"End\"]=l.ends[v],d[v][c+\"Start\"]=l.starts[v]),r.ids&&(d[v].id=String(r.ids[v]));return sye(r,\"marker\")&&lye(t,r,{vals:r.marker.color,containerStr:\"marker\",cLetter:\"c\"}),sye(r,\"marker.line\")&&lye(t,r,{vals:r.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),qmt(d,r),Omt(d,r),d}});var _v=ye((_or,hye)=>{\"use strict\";var Bmt=xa(),Nmt=Mr();function Umt(e,t,r){var n=e._fullLayout,i=n[\"_\"+r+\"Text_minsize\"];if(i){var a=n.uniformtext.mode===\"hide\",o;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":o=\"g.slice\";break;case\"treemap\":case\"icicle\":o=\"g.slice, g.pathbar\";break;default:o=\"g.points > g.point\"}t.selectAll(o).each(function(s){var l=s.transform;if(l){l.scale=a&&l.hide?0:i/l.fontSize;var u=Bmt.select(this).select(\"text\");Nmt.setTransormAndDisplay(u,l)}})}}function Vmt(e,t,r){if(r.uniformtext.mode){var n=fye(e),i=r.uniformtext.minsize,a=t.scale*t.fontSize;t.hide=a<i,r[n]=r[n]||1/0,t.hide||(r[n]=Math.min(r[n],Math.max(a,i)))}}function Hmt(e,t){var r=fye(e);t[r]=void 0}function fye(e){return\"_\"+e+\"Text_minsize\"}hye.exports={recordMinTextSize:Vmt,clearMinTextSize:Hmt,resizeText:Umt}});var qI=ye(t2=>{\"use strict\";var Gmt=uo(),jmt=id(),dye=Mr().isArrayOrTypedArray;t2.coerceString=function(e,t,r){if(typeof t==\"string\"){if(t||!e.noBlank)return t}else if((typeof t==\"number\"||t===!0)&&!e.strict)return String(t);return r!==void 0?r:e.dflt};t2.coerceNumber=function(e,t,r){if(Gmt(t)){t=+t;var n=e.min,i=e.max,a=n!==void 0&&t<n||i!==void 0&&t>i;if(!a)return t}return r!==void 0?r:e.dflt};t2.coerceColor=function(e,t,r){return jmt(t).isValid()?t:r!==void 0?r:e.dflt};t2.coerceEnumerated=function(e,t,r){return e.coerceNumber&&(t=+t),e.values.indexOf(t)!==-1?t:r!==void 0?r:e.dflt};t2.getValue=function(e,t){var r;return dye(e)?t<e.length&&(r=e[t]):r=e,r};t2.getLineWidth=function(e,t){var r=0<t.mlw?t.mlw:dye(e.marker.line.width)?0:e.marker.line.width;return r}});var N0=ye((bor,Aye)=>{\"use strict\";var f4=xa(),Wmt=va(),h4=ao(),vye=Mr(),pye=ba(),gye=_v().resizeText,_V=Lm(),Zmt=_V.textfont,Xmt=_V.insidetextfont,Ymt=_V.outsidetextfont,Jd=qI();function Kmt(e){var t=f4.select(e).selectAll('g[class^=\"barlayer\"]').selectAll(\"g.trace\");gye(e,t,\"bar\");var r=t.size(),n=e._fullLayout;t.style(\"opacity\",function(i){return i[0].trace.opacity}).each(function(i){(n.barmode===\"stack\"&&r>1||n.bargap===0&&n.bargroupgap===0&&!i[0].trace.marker.line.width)&&f4.select(this).attr(\"shape-rendering\",\"crispEdges\")}),t.selectAll(\"g.points\").each(function(i){var a=f4.select(this),o=i[0].trace;mye(a,o,e)}),pye.getComponentMethod(\"errorbars\",\"style\")(t)}function mye(e,t,r){h4.pointStyle(e.selectAll(\"path\"),t,r),yye(e,t,r)}function yye(e,t,r){e.selectAll(\"text\").each(function(n){var i=f4.select(this),a=vye.ensureUniformFontSize(r,_ye(i,n,t,r));h4.font(i,a)})}function Jmt(e,t,r){var n=t[0].trace;n.selectedpoints?$mt(r,n,e):(mye(r,n,e),pye.getComponentMethod(\"errorbars\",\"style\")(r))}function $mt(e,t,r){h4.selectedPointStyle(e.selectAll(\"path\"),t),Qmt(e.selectAll(\"text\"),t,r)}function Qmt(e,t,r){e.each(function(n){var i=f4.select(this),a;if(n.selected){a=vye.ensureUniformFontSize(r,_ye(i,n,t,r));var o=t.selected.textfont&&t.selected.textfont.color;o&&(a.color=o),h4.font(i,a)}else h4.selectedTextStyle(i,t)})}function _ye(e,t,r,n){var i=n._fullLayout.font,a=r.textfont;if(e.classed(\"bartext-inside\")){var o=Tye(t,r);a=bye(r,t.i,i,o)}else e.classed(\"bartext-outside\")&&(a=wye(r,t.i,i));return a}function xye(e,t,r){return xV(Zmt,e.textfont,t,r)}function bye(e,t,r,n){var i=xye(e,t,r),a=e._input.textfont===void 0||e._input.textfont.color===void 0||Array.isArray(e.textfont.color)&&e.textfont.color[t]===void 0;return a&&(i={color:Wmt.contrast(n),family:i.family,size:i.size,weight:i.weight,style:i.style,variant:i.variant,textcase:i.textcase,lineposition:i.lineposition,shadow:i.shadow}),xV(Xmt,e.insidetextfont,t,i)}function wye(e,t,r){var n=xye(e,t,r);return xV(Ymt,e.outsidetextfont,t,n)}function xV(e,t,r,n){t=t||{};var i=Jd.getValue(t.family,r),a=Jd.getValue(t.size,r),o=Jd.getValue(t.color,r),s=Jd.getValue(t.weight,r),l=Jd.getValue(t.style,r),u=Jd.getValue(t.variant,r),c=Jd.getValue(t.textcase,r),f=Jd.getValue(t.lineposition,r),h=Jd.getValue(t.shadow,r);return{family:Jd.coerceString(e.family,i,n.family),size:Jd.coerceNumber(e.size,a,n.size),color:Jd.coerceColor(e.color,o,n.color),weight:Jd.coerceString(e.weight,s,n.weight),style:Jd.coerceString(e.style,l,n.style),variant:Jd.coerceString(e.variant,u,n.variant),textcase:Jd.coerceString(e.variant,c,n.textcase),lineposition:Jd.coerceString(e.variant,f,n.lineposition),shadow:Jd.coerceString(e.variant,h,n.shadow)}}function Tye(e,t){return t.type===\"waterfall\"?t[e.dir].marker.color:e.mcc||e.mc||t.marker.color}Aye.exports={style:Kmt,styleTextPoints:yye,styleOnSelect:Jmt,getInsideTextFont:bye,getOutsideTextFont:wye,getBarColor:Tye,resizeText:gye}});var i2=ye((wor,Iye)=>{\"use strict\";var OI=xa(),BI=uo(),Pd=Mr(),eyt=Ll(),tyt=va(),T_=ao(),ryt=ba(),NI=Qa().tickText,Sye=_v(),iyt=Sye.recordMinTextSize,nyt=Sye.clearMinTextSize,bV=N0(),wT=qI(),ayt=Qb(),Mye=Lm(),oyt=Mye.text,syt=Mye.textposition,lyt=rp().appendArrayPointValue,Uv=ayt.TEXTPAD;function uyt(e){return e.id}function cyt(e){if(e.ids)return uyt}function wV(e){return(e>0)-(e<0)}function Pm(e,t){return e<t?1:-1}function fyt(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),n?[i,a]:[a,i]}function Eye(e,t,r,n){if(!t.uniformtext.mode&&kye(r)){var i;return n&&(i=n()),e.transition().duration(r.duration).ease(r.easing).each(\"end\",function(){i&&i()}).each(\"interrupt\",function(){i&&i()})}else return e}function kye(e){return e&&e.duration>0}function hyt(e,t,r,n,i,a){var o=t.xaxis,s=t.yaxis,l=e._fullLayout,u=e._context.staticPlot;i||(i={mode:l.barmode,norm:l.barmode,gap:l.bargap,groupgap:l.bargroupgap},nyt(\"bar\",l));var c=Pd.makeTraceGroups(n,r,\"trace bars\").each(function(f){var h=OI.select(this),d=f[0].trace,v=f[0].t,x=d.type===\"waterfall\",b=d.type===\"funnel\",g=d.type===\"histogram\",E=d.type===\"bar\",k=E||b,A=0;x&&d.connector.visible&&d.connector.mode===\"between\"&&(A=d.connector.line.width/2);var L=d.orientation===\"h\",_=kye(i),C=Pd.ensureSingle(h,\"g\",\"points\"),M=cyt(d),p=C.selectAll(\"g.point\").data(Pd.identity,M);p.enter().append(\"g\").classed(\"point\",!0),p.exit().remove(),p.each(function(T,F){var q=OI.select(this),V=fyt(T,o,s,L),H=V[0][0],X=V[0][1],G=V[1][0],N=V[1][1],W=(L?X-H:N-G)===0;W&&k&&wT.getLineWidth(d,T)&&(W=!1),W||(W=!BI(H)||!BI(X)||!BI(G)||!BI(N)),T.isBlank=W,W&&(L?X=H:N=G),A&&!W&&(L?(H-=Pm(H,X)*A,X+=Pm(H,X)*A):(G-=Pm(G,N)*A,N+=Pm(G,N)*A));var re,ae;if(d.type===\"waterfall\"){if(!W){var _e=d[T.dir].marker;re=_e.line.width,ae=_e.color}}else re=wT.getLineWidth(d,T),ae=T.mc||d.marker.color;function Me(Ke){var xt=OI.round(re/2%1,2);return 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pyt(e,t,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,u=i.width,c=i.height,f=Math.abs(t-e),h=Math.abs(n-r),d;o?d=h>2*Uv?Uv:0:d=f>2*Uv?Uv:0;var v=1;s&&(v=o?Math.min(1,h/c):Math.min(1,f/u));var x=Cye(l),b=Lye(i,x),g=(o?b.x:b.y)/2,E=(i.left+i.right)/2,k=(i.top+i.bottom)/2,A=(e+t)/2,L=(r+n)/2,_=0,C=0,M=o?Pm(t,e):Pm(r,n);return o?(A=t-M*d,_=M*g):(L=n+M*d,C=-M*g),{textX:E,textY:k,targetX:A,targetY:L,anchorX:_,anchorY:C,scale:v,rotate:x}}function gyt(e,t,r,n,i){var a=t[0].trace,o=a.texttemplate,s;return o?s=yyt(e,t,r,n,i):a.textinfo?s=_yt(t,r,n,i):s=wT.getValue(a.text,r),wT.coerceString(oyt,s)}function myt(e,t){var r=wT.getValue(e.textposition,t);return wT.coerceEnumerated(syt,r)}function yyt(e,t,r,n,i){var a=t[0].trace,o=Pd.castOption(a,r,\"texttemplate\");if(!o)return\"\";var s=a.type===\"histogram\",l=a.type===\"waterfall\",u=a.type===\"funnel\",c=a.orientation===\"h\",f,h,d,v;c?(f=\"y\",h=i,d=\"x\",v=n):(f=\"x\",h=n,d=\"y\",v=i);function x(_){return 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Re=0;Ae-ze<=0&&(Re=-re*(Ae-ze),Re>W?(Te=!0,ie=Ce,ke=Re):Re>_e&&(ie=Ce,ke=W)),Re<=W&&(ke=W)}else Me=N,ke=W;var ce=new Array(c.length);for(u=0;u<c.length;u++)ce[u]=c[u].pos;A._extremes[o]=c1e.findExtremes(n,ce,{padded:Te,vpadminus:ke,vpadplus:Me,vpadLinearized:!0,ppadminus:{x:ie,y:ge}[s],ppadplus:{x:ge,y:ie}[s]})}}}d1e.exports={crossTraceCalc:Wyt,setPositionOffset:h1e}});var GI=ye((Dor,y1e)=>{\"use strict\";var MT=xa(),n2=Mr(),Zyt=ao(),v1e=5,Xyt=.01;function Yyt(e,t,r,n){var i=e._context.staticPlot,a=t.xaxis,o=t.yaxis;n2.makeTraceGroups(n,r,\"trace boxes\").each(function(s){var l=MT.select(this),u=s[0],c=u.t,f=u.trace;if(c.wdPos=c.bdPos*f.whiskerwidth,f.visible!==!0||c.empty){l.remove();return}var h,d;f.orientation===\"h\"?(h=o,d=a):(h=a,d=o),p1e(l,{pos:h,val:d},f,c,i),g1e(l,{x:a,y:o},f,c),m1e(l,{pos:h,val:d},f,c)})}function p1e(e,t,r,n,i){var a=r.orientation===\"h\",o=t.val,s=t.pos,l=!!s.rangebreaks,u=n.bPos,c=n.wdPos||0,f=n.bPosPxOffset||0,h=r.whiskerwidth||0,d=r.showwhiskers!==!1,v=r.notched||!1,x=v?1-2*r.notchwidth:1,b,g;Array.isArray(n.bdPos)?(b=n.bdPos[0],g=n.bdPos[1]):(b=n.bdPos,g=n.bdPos);var E=e.selectAll(\"path.box\").data(r.type!==\"violin\"||r.box.visible?n2.identity:[]);E.enter().append(\"path\").style(\"vector-effect\",i?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),E.exit().remove(),E.each(function(k){if(k.empty)return MT.select(this).attr(\"d\",\"M0,0Z\");var A=s.c2l(k.pos+u,!0),L=s.l2p(A-b)+f,_=s.l2p(A+g)+f,C=l?(L+_)/2:s.l2p(A)+f,M=r.whiskerwidth,p=l?L*M+(1-M)*C:s.l2p(A-c)+f,P=l?_*M+(1-M)*C:s.l2p(A+c)+f,T=s.l2p(A-b*x)+f,F=s.l2p(A+g*x)+f,q=r.sizemode===\"sd\",V=o.c2p(q?k.mean-k.sd:k.q1,!0),H=q?o.c2p(k.mean+k.sd,!0):o.c2p(k.q3,!0),X=n2.constrain(q?o.c2p(k.mean,!0):o.c2p(k.med,!0),Math.min(V,H)+1,Math.max(V,H)-1),G=k.lf===void 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h.forEach(function(d){d.t=n,d.trace=r}),h},c=e.selectAll(\"g.points\").data(l?u:[]);c.enter().append(\"g\").attr(\"class\",\"points\"),c.exit().remove();var f=c.selectAll(\"path\").data(function(h){var d,v=h.pts2,x=Math.max((h.max-h.min)/10,h.q3-h.q1),b=x*1e-9,g=x*Xyt,E=[],k=0,A;if(r.jitter){if(x===0)for(k=1,E=new Array(v.length),d=0;d<v.length;d++)E[d]=1;else for(d=0;d<v.length;d++){var L=Math.max(0,d-v1e),_=v[L].v,C=Math.min(v.length-1,d+v1e),M=v[C].v;l!==\"all\"&&(v[d].v<h.lf?M=Math.min(M,h.lf):_=Math.max(_,h.uf));var p=Math.sqrt(g*(C-L)/(M-_+b))||0;p=n2.constrain(Math.abs(p),0,1),E.push(p),k=Math.max(p,k)}A=r.jitter*2/(k||1)}for(d=0;d<v.length;d++){var P=v[d],T=P.v,F=r.jitter?A*E[d]*(n2.pseudoRandom()-.5):0,q=h.pos+s+o*(r.pointpos+F);r.orientation===\"h\"?(P.y=q,P.x=T):(P.x=q,P.y=T),l===\"suspectedoutliers\"&&T<h.uo&&T>h.lo&&(P.so=!0)}return v});f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(Zyt.translatePoints,i,a)}function m1e(e,t,r,n){var i=t.val,a=t.pos,o=!!a.rangebreaks,s=n.bPos,l=n.bPosPxOffset||0,u=r.boxmean||(r.meanline||{}).visible,c,f;Array.isArray(n.bdPos)?(c=n.bdPos[0],f=n.bdPos[1]):(c=n.bdPos,f=n.bdPos);var h=e.selectAll(\"path.mean\").data(r.type===\"box\"&&r.boxmean||r.type===\"violin\"&&r.box.visible&&r.meanline.visible?n2.identity:[]);h.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),h.exit().remove(),h.each(function(d){var v=a.c2l(d.pos+s,!0),x=a.l2p(v-c)+l,b=a.l2p(v+f)+l,g=o?(x+b)/2:a.l2p(v)+l,E=i.c2p(d.mean,!0),k=i.c2p(d.mean-d.sd,!0),A=i.c2p(d.mean+d.sd,!0);r.orientation===\"h\"?MT.select(this).attr(\"d\",\"M\"+E+\",\"+x+\"V\"+b+(u===\"sd\"?\"m0,0L\"+k+\",\"+g+\"L\"+E+\",\"+x+\"L\"+A+\",\"+g+\"Z\":\"\")):MT.select(this).attr(\"d\",\"M\"+x+\",\"+E+\"H\"+b+(u===\"sd\"?\"m0,0L\"+g+\",\"+k+\"L\"+x+\",\"+E+\"L\"+g+\",\"+A+\"Z\":\"\"))})}y1e.exports={plot:Yyt,plotBoxAndWhiskers:p1e,plotPoints:g1e,plotBoxMean:m1e}});var jI=ye((zor,_1e)=>{\"use 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$yt=Qa(),LV=Mr(),A_=Nc(),x1e=va(),Qyt=LV.fillText;function e1t(e,t,r,n){var i=e.cd,a=i[0].trace,o=a.hoveron,s=[],l;return o.indexOf(\"boxes\")!==-1&&(s=s.concat(b1e(e,t,r,n))),o.indexOf(\"points\")!==-1&&(l=w1e(e,t,r)),n===\"closest\"?l?[l]:s:(l&&s.push(l),s)}function b1e(e,t,r,n){var i=e.cd,a=e.xa,o=e.ya,s=i[0].trace,l=i[0].t,u=s.type===\"violin\",c,f,h,d,v,x,b,g,E,k,A,L=l.bdPos,_,C,M=l.wHover,p=function(Ce){return h.c2l(Ce.pos)+l.bPos-h.c2l(x)};u&&s.side!==\"both\"?(s.side===\"positive\"&&(E=function(Ce){var me=p(Ce);return A_.inbox(me,me+M,k)},_=L,C=0),s.side===\"negative\"&&(E=function(Ce){var me=p(Ce);return A_.inbox(me-M,me,k)},_=0,C=L)):(E=function(Ce){var me=p(Ce);return A_.inbox(me-M,me+M,k)},_=C=L);var P;u?P=function(Ce){return A_.inbox(Ce.span[0]-v,Ce.span[1]-v,k)}:P=function(Ce){return A_.inbox(Ce.min-v,Ce.max-v,k)},s.orientation===\"h\"?(v=t,x=r,b=P,g=E,c=\"y\",h=o,f=\"x\",d=a):(v=r,x=t,b=E,g=P,c=\"x\",h=a,f=\"y\",d=o);var T=Math.min(1,L/Math.abs(h.r2c(h.range[1])-h.r2c(h.range[0])));k=e.maxHoverDistance-T,A=e.maxSpikeDistance-T;function F(Ce){return(b(Ce)+g(Ce))/2}var q=A_.getDistanceFunction(n,b,g,F);if(A_.getClosest(i,q,e),e.index===!1)return[];var V=i[e.index],H=s.line.color,X=(s.marker||{}).color;x1e.opacity(H)&&s.line.width?e.color=H:x1e.opacity(X)&&s.boxpoints?e.color=X:e.color=s.fillcolor,e[c+\"0\"]=h.c2p(V.pos+l.bPos-C,!0),e[c+\"1\"]=h.c2p(V.pos+l.bPos+_,!0),e[c+\"LabelVal\"]=V.orig_p!==void 0?V.orig_p:V.pos;var G=c+\"Spike\";e.spikeDistance=F(V)*A/k,e[G]=h.c2p(V.pos,!0);var N=s.boxmean||s.sizemode===\"sd\"||(s.meanline||{}).visible,W=s.boxpoints||s.points,re=W&&N?[\"max\",\"uf\",\"q3\",\"med\",\"mean\",\"q1\",\"lf\",\"min\"]:W&&!N?[\"max\",\"uf\",\"q3\",\"med\",\"q1\",\"lf\",\"min\"]:!W&&N?[\"max\",\"q3\",\"med\",\"mean\",\"q1\",\"min\"]:[\"max\",\"q3\",\"med\",\"q1\",\"min\"],ae=d.range[1]<d.range[0];s.orientation===(ae?\"v\":\"h\")&&re.reverse();for(var _e=e.spikeDistance,Me=e[G],ke=[],ge=0;ge<re.length;ge++){var ie=re[ge];if(ie in V){var Te=V[ie],Ee=d.c2p(Te,!0),Ae=LV.extendFlat({},e);Ae.attr=ie,Ae[f+\"0\"]=Ae[f+\"1\"]=Ee,Ae[f+\"LabelVal\"]=Te,Ae[f+\"Label\"]=(l.labels?l.labels[ie]+\" \":\"\")+$yt.hoverLabelText(d,Te,s[f+\"hoverformat\"]),Ae.hoverOnBox=!0,ie===\"mean\"&&\"sd\"in V&&(s.boxmean===\"sd\"||s.sizemode===\"sd\")&&(Ae[f+\"err\"]=V.sd),Ae.hovertemplate=!1,ke.push(Ae)}}e.name=\"\",e.spikeDistance=void 0,e[G]=void 0;for(var ze=0;ze<ke.length;ze++)ke[ze].attr!==\"med\"?(ke[ze].name=\"\",ke[ze].spikeDistance=void 0,ke[ze][G]=void 0):(ke[ze].spikeDistance=_e,ke[ze][G]=Me);return ke}function w1e(e,t,r){for(var n=e.cd,i=e.xa,a=e.ya,o=n[0].trace,s=i.c2p(t),l=a.c2p(r),u,c=function(P){var T=Math.max(3,P.mrc||0);return Math.max(Math.abs(i.c2p(P.x)-s)-T,1-3/T)},f=function(P){var T=Math.max(3,P.mrc||0);return Math.max(Math.abs(a.c2p(P.y)-l)-T,1-3/T)},h=A_.quadrature(c,f),d=!1,v,x,b=0;b<n.length;b++){v=n[b];for(var g=0;g<(v.pts||[]).length;g++){x=v.pts[g];var E=h(x);E<=e.distance&&(e.distance=E,d=[b,g])}}if(!d)return!1;v=n[d[0]],x=v.pts[d[1]];var k=i.c2p(x.x,!0),A=a.c2p(x.y,!0),L=x.mrc||1;u=LV.extendFlat({},e,{index:x.i,color:(o.marker||{}).color,name:o.name,x0:k-L,x1:k+L,y0:A-L,y1:A+L,spikeDistance:e.distance,hovertemplate:o.hovertemplate});var _=v.orig_p,C=_!==void 0?_:v.pos,M;o.orientation===\"h\"?(M=a,u.xLabelVal=x.x,u.yLabelVal=C):(M=i,u.xLabelVal=C,u.yLabelVal=x.y);var p=M._id.charAt(0);return u[p+\"Spike\"]=M.c2p(v.pos,!0),Qyt(x,o,u),u}T1e.exports={hoverPoints:e1t,hoverOnBoxes:b1e,hoverOnPoints:w1e}});var S1e=ye((qor,A1e)=>{\"use strict\";A1e.exports=function(t,r){return r.hoverOnBox&&(t.hoverOnBox=r.hoverOnBox),\"xVal\"in r&&(t.x=r.xVal),\"yVal\"in r&&(t.y=r.yVal),r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),t}});var IV=ye((Oor,M1e)=>{\"use strict\";M1e.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s,l;if(r===!1)for(s=0;s<n.length;s++)for(l=0;l<(n[s].pts||[]).length;l++)n[s].pts[l].selected=0;else for(s=0;s<n.length;s++)for(l=0;l<(n[s].pts||[]).length;l++){var u=n[s].pts[l],c=i.c2p(u.x),f=a.c2p(u.y);r.contains([c,f],null,u.i,t)?(o.push({pointNumber:u.i,x:i.c2d(u.x),y:a.c2d(u.y)}),u.selected=1):u.selected=0}return o}});var k1e=ye((Bor,E1e)=>{\"use strict\";E1e.exports={attributes:v4(),layoutAttributes:p4(),supplyDefaults:m4().supplyDefaults,crossTraceDefaults:m4().crossTraceDefaults,supplyLayoutDefaults:UI().supplyLayoutDefaults,calc:MV(),crossTraceCalc:HI().crossTraceCalc,plot:GI().plot,style:jI().style,styleOnSelect:jI().styleOnSelect,hoverPoints:PV().hoverPoints,eventData:S1e(),selectPoints:IV(),moduleType:\"trace\",name:\"box\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}});var L1e=ye((Nor,C1e)=>{\"use strict\";C1e.exports=k1e()});var ET=ye((Uor,P1e)=>{\"use strict\";var n0=Uc(),t1t=vl(),r1t=Su(),RV=Oc().axisHoverFormat,i1t=Wo().hovertemplateAttrs,n1t=Wo().texttemplateAttrs,a1t=Kl(),Pp=no().extendFlat;P1e.exports=Pp({z:{valType:\"data_array\",editType:\"calc\"},x:Pp({},n0.x,{impliedEdits:{xtype:\"array\"}}),x0:Pp({},n0.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:Pp({},n0.dx,{impliedEdits:{xtype:\"scaled\"}}),y:Pp({},n0.y,{impliedEdits:{ytype:\"array\"}}),y0:Pp({},n0.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:Pp({},n0.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:Pp({},n0.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:Pp({},n0.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:Pp({},n0.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:Pp({},n0.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:Pp({},n0.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:Pp({},n0.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:RV(\"x\"),yhoverformat:RV(\"y\"),zhoverformat:RV(\"z\",1),hovertemplate:i1t(),texttemplate:n1t({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:r1t({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:Pp({},t1t.showlegend,{dflt:!1}),zorder:n0.zorder},a1t(\"\",{cLetter:\"z\",autoColorDflt:!1}))});var 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r=t.length-2,n=G0.constrain(G0.findBin(e,t),0,r),i=t[n],a=t[n+1],o=G0.constrain(n+(e-i)/(a-i)-.5,0,r),s=Math.round(o),l=Math.abs(o-s);return!o||o===r||!l?{bin0:s,bin1:s,frac:0}:{bin0:s,frac:l,bin1:Math.round(s+l/(o-s))}}function L_e(e,t){var r=t.length-1,n=G0.constrain(G0.findBin(e,t),0,r),i=t[n],a=t[n+1],o=(e-i)/(a-i)||0;return o<=0?{bin0:n,bin1:n,frac:0}:o<.5?{bin0:n,bin1:n+1,frac:o}:{bin0:n+1,bin1:n,frac:1-o}}function P_e(e,t,r){e[t]=r[0],e[t+1]=r[1],e[t+2]=r[2],e[t+3]=Math.round(r[3]*255)}});var S_=ye((ssr,z_e)=>{\"use strict\";z_e.exports={min:\"zmin\",max:\"zmax\"}});var s8=ye((lsr,F_e)=>{\"use strict\";var e_t=xa();F_e.exports=function(t){e_t.select(t).selectAll(\".hm image\").style(\"opacity\",function(r){return r.trace.opacity})}});var u8=ye((usr,O_e)=>{\"use strict\";var q_e=Nc(),_4=Mr(),l8=_4.isArrayOrTypedArray,t_t=Qa(),r_t=Mu().extractOpts;O_e.exports=function(t,r,n,i,a){a||(a={});var o=a.isContour,s=t.cd[0],l=s.trace,u=t.xa,c=t.ya,f=s.x,h=s.y,d=s.z,v=s.xCenter,x=s.yCenter,b=s.zmask,g=l.zhoverformat,E=f,k=h,A,L,_,C;if(t.index!==!1){try{_=Math.round(t.index[1]),C=Math.round(t.index[0])}catch(re){_4.error(\"Error hovering on heatmap, pointNumber must be [row,col], found:\",t.index);return}if(_<0||_>=d[0].length||C<0||C>d.length)return}else{if(q_e.inbox(r-f[0],r-f[f.length-1],0)>0||q_e.inbox(n-h[0],n-h[h.length-1],0)>0)return;if(o){var M;for(E=[2*f[0]-f[1]],M=1;M<f.length;M++)E.push((f[M]+f[M-1])/2);for(E.push([2*f[f.length-1]-f[f.length-2]]),k=[2*h[0]-h[1]],M=1;M<h.length;M++)k.push((h[M]+h[M-1])/2);k.push([2*h[h.length-1]-h[h.length-2]])}_=Math.max(0,Math.min(E.length-2,_4.findBin(r,E))),C=Math.max(0,Math.min(k.length-2,_4.findBin(n,k)))}var 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Ip=Lm(),W_e=Oc().axisHoverFormat,i_t=Wo().hovertemplateAttrs,n_t=Wo().texttemplateAttrs,XV=Su(),Z_e=ZV(),a_t=j_e(),YV=no().extendFlat;X_e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},xhoverformat:W_e(\"x\"),yhoverformat:W_e(\"y\"),text:YV({},Ip.text,{}),hovertext:YV({},Ip.hovertext,{}),orientation:Ip.orientation,histfunc:{valType:\"enumerated\",values:[\"count\",\"sum\",\"avg\",\"min\",\"max\"],dflt:\"count\",editType:\"calc\"},histnorm:{valType:\"enumerated\",values:[\"\",\"percent\",\"probability\",\"density\",\"probability 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$_e=ye((psr,J_e)=>{\"use strict\";var Y_e=ba(),x4=Mr(),K_e=va(),o_t=r0().handleText,s_t=zI(),l_t=c8();J_e.exports=function(t,r,n,i){function a(E,k){return x4.coerce(t,r,l_t,E,k)}var o=a(\"x\"),s=a(\"y\"),l=a(\"cumulative.enabled\");l&&(a(\"cumulative.direction\"),a(\"cumulative.currentbin\")),a(\"text\");var u=a(\"textposition\");o_t(t,r,i,a,u,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),a(\"hovertext\"),a(\"hovertemplate\"),a(\"xhoverformat\"),a(\"yhoverformat\");var c=a(\"orientation\",s&&!o?\"h\":\"v\"),f=c===\"v\"?\"x\":\"y\",h=c===\"v\"?\"y\":\"x\",d=o&&s?Math.min(x4.minRowLength(o)&&x4.minRowLength(s)):x4.minRowLength(r[f]||[]);if(!d){r.visible=!1;return}r._length=d;var v=Y_e.getComponentMethod(\"calendars\",\"handleTraceDefaults\");v(t,r,[\"x\",\"y\"],i);var x=r[h];x&&a(\"histfunc\"),a(\"histnorm\"),a(\"autobin\"+f),s_t(t,r,a,n,i),x4.coerceSelectionMarkerOpacity(r,a);var 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W=b(H,G),re=H[G+\"calendar\"]||\"\",ae=n[X],_e=!0;ae&&(W===ae.axType&&re===ae.calendar?(_e=!1,ae.traces.push(H),ae.dirs.push(G)):(X=N,W!==ae.axType&&b4.warn([\"Attempted to group the bins of trace\",H.index,\"set on a\",\"type:\"+W,\"axis\",\"with bins on\",\"type:\"+ae.axType,\"axis.\"].join(\" \")),re!==ae.calendar&&b4.warn([\"Attempted to group the bins of trace\",H.index,\"set with a\",re,\"calendar\",\"with bins\",ae.calendar?\"on a \"+ae.calendar+\" calendar\":\"w/o a set calendar\"].join(\" \")))),_e&&(n[X]={traces:[H],dirs:[G],axType:W,calendar:H[G+\"calendar\"]||\"\"}),H[\"_\"+G+\"bingroup\"]=X}for(f=0;f<t.length;f++)if(s=t[f],f8(s,\"histogram\")){if(i.push(s),delete s._xautoBinFinished,delete s._yautoBinFinished,s.type===\"histogram\"){var E=v(\"marker.cornerradius\",r.barcornerradius);s.marker&&(s.marker.cornerradius=f_t(E))}f8(s,\"2dMap\")||c_t(s._input,s,r,v,r.barmode)}var k=r._alignmentOpts||{};for(f=0;f<i.length;f++){if(s=i[f],u=\"\",!f8(s,\"2dMap\")){if(c=x(s),r.barmode===\"group\"&&s.alignmentgroup){var A=s[c+\"axis\"],L=KV(r,A)+s.orientation;(k[L]||{})[s.alignmentgroup]&&(u=L)}!u&&r.barmode!==\"overlay\"&&(u=KV(r,s.xaxis)+KV(r,s.yaxis)+x(s))}u?(a[u]||(a[u]=[]),a[u].push(s)):o.push(s)}for(u in a){if(l=a[u],l.length===1){o.push(l[0]);continue}var _=!1;for(l.length&&(s=l[0],_=v(\"bingroup\")),u=_||u,f=0;f<l.length;f++){s=l[f];var C=s._input.bingroup;C&&C!==u&&b4.warn([\"Trace\",s.index,\"must match\",\"within bingroup\",u+\".\",\"Ignoring its bingroup:\",C,\"setting.\"].join(\" \")),s.bingroup=u,g(s,u,x(s))}}for(f=0;f<o.length;f++){s=o[f];var M=v(\"bingroup\");if(f8(s,\"2dMap\"))for(d=0;d<2;d++){c=h_t[d];var p=v(c+\"bingroup\",M?M+\"__\"+c:null);g(s,p,c)}else g(s,M,x(s))}for(u in n){var P=n[u];for(l=P.traces,h=0;h<exe.length;h++){var 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w8=xa(),ube=ao(),lxt=s8(),uxt=gH();cbe.exports=function(t){var r=w8.select(t).selectAll(\"g.contour\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=w8.select(this),a=n[0].trace,o=a.contours,s=a.line,l=o.size||1,u=o.start,c=o.type===\"constraint\",f=!c&&o.coloring===\"lines\",h=!c&&o.coloring===\"fill\",d=f||h?uxt(a):null;i.selectAll(\"g.contourlevel\").each(function(b){w8.select(this).selectAll(\"path\").call(ube.lineGroupStyle,s.width,f?d(b.level):s.color,s.dash)});var v=o.labelfont;if(i.selectAll(\"g.contourlabels text\").each(function(b){ube.font(w8.select(this),{weight:v.weight,style:v.style,variant:v.variant,textcase:v.textcase,lineposition:v.lineposition,shadow:v.shadow,family:v.family,size:v.size,color:v.color||(f?d(b.level):s.color)})}),c)i.selectAll(\"g.contourfill path\").style(\"fill\",a.fillcolor);else if(h){var x;i.selectAll(\"g.contourfill path\").style(\"fill\",function(b){return x===void 0&&(x=b.level),d(b.level+.5*l)}),x===void 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pbe=ye((Ysr,vbe)=>{\"use strict\";vbe.exports={attributes:rH(),supplyDefaults:zxe(),crossTraceDefaults:h8(),calc:sH(),plot:b8().plot,layerName:\"contourlayer\",style:T8(),colorbar:A8(),hoverPoints:mH(),moduleType:\"trace\",name:\"histogram2dcontour\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"histogram\",\"showLegend\"],meta:{}}});var mbe=ye((Ksr,gbe)=>{\"use strict\";gbe.exports=pbe()});var yH=ye((Jsr,Tbe)=>{\"use strict\";var ybe=uo(),vxt=iH(),bbe=va(),_be=bbe.addOpacity,pxt=bbe.opacity,wbe=p8(),xbe=Mr().isArrayOrTypedArray,gxt=wbe.CONSTRAINT_REDUCTION,mxt=wbe.COMPARISON_OPS2;Tbe.exports=function(t,r,n,i,a,o){var s=r.contours,l,u,c,f=n(\"contours.operation\");if(s._operation=gxt[f],yxt(n,s),f===\"=\"?l=s.showlines=!0:(l=n(\"contours.showlines\"),c=n(\"fillcolor\",_be((t.line||{}).color||a,.5))),l){var h=c&&pxt(c)?_be(r.fillcolor,1):a;u=n(\"line.color\",h),n(\"line.width\",2),n(\"line.dash\")}n(\"line.smoothing\"),vxt(n,i,u,o)};function yxt(e,t){var r;mxt.indexOf(t.operation)===-1?(e(\"contours.value\",[0,1]),xbe(t.value)?t.value.length>2?t.value=t.value.slice(2):t.length===0?t.value=[0,1]:t.length<2?(r=parseFloat(t.value[0]),t.value=[r,r+1]):t.value=[parseFloat(t.value[0]),parseFloat(t.value[1])]:ybe(t.value)&&(r=parseFloat(t.value),t.value=[r,r+1])):(e(\"contours.value\",0),ybe(t.value)||(xbe(t.value)?t.value=parseFloat(t.value[0]):t.value=0))}});var Mbe=ye(($sr,Sbe)=>{\"use strict\";var _H=Mr(),_xt=ZI(),xxt=Pg(),bxt=yH(),wxt=m8(),Txt=y8(),Axt=y4(),Abe=T4();Sbe.exports=function(t,r,n,i){function a(u,c){return _H.coerce(t,r,Abe,u,c)}function o(u){return _H.coerce2(t,r,Abe,u)}var s=_xt(t,r,a,i);if(!s){r.visible=!1;return}xxt(t,r,i,a),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"text\"),a(\"hovertext\"),a(\"hoverongaps\"),a(\"hovertemplate\");var 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Sxt=Wo().hovertemplateAttrs,Mxt=Wo().texttemplateAttrs,Ext=Eg(),a0=Uc(),kxt=vl(),Pbe=Kl(),Cxt=Ed().dash,M_=no().extendFlat,j0=a0.marker,C4=a0.line,Lxt=j0.line;Ibe.exports={a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},c:{valType:\"data_array\",editType:\"calc\"},sum:{valType:\"number\",dflt:0,min:0,editType:\"calc\"},mode:M_({},a0.mode,{dflt:\"markers\"}),text:M_({},a0.text,{}),texttemplate:Mxt({editType:\"plot\"},{keys:[\"a\",\"b\",\"c\",\"text\"]}),hovertext:M_({},a0.hovertext,{}),line:{color:C4.color,width:C4.width,dash:Cxt,backoff:C4.backoff,shape:M_({},C4.shape,{values:[\"linear\",\"spline\"]}),smoothing:C4.smoothing,editType:\"calc\"},connectgaps:a0.connectgaps,cliponaxis:a0.cliponaxis,fill:M_({},a0.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:Ext(),marker:M_({symbol:j0.symbol,opacity:j0.opacity,angle:j0.angle,angleref:j0.angleref,standoff:j0.standoff,maxdisplayed:j0.maxdisplayed,size:j0.size,sizeref:j0.sizeref,sizemin:j0.sizemin,sizemode:j0.sizemode,line:M_({width:Lxt.width,editType:\"calc\"},Pbe(\"marker.line\")),gradient:j0.gradient,editType:\"calc\"},Pbe(\"marker\")),textfont:a0.textfont,textposition:a0.textposition,selected:a0.selected,unselected:a0.unselected,hoverinfo:M_({},kxt.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:a0.hoveron,hovertemplate:Sxt()}});var Fbe=ye((rlr,zbe)=>{\"use strict\";var Rbe=Mr(),Pxt=Sm(),zT=lu(),Ixt=$p(),Rxt=R0(),Dbe=J3(),Dxt=D0(),zxt=Ig(),Fxt=xH();zbe.exports=function(t,r,n,i){function a(h,d){return Rbe.coerce(t,r,Fxt,h,d)}var o=a(\"a\"),s=a(\"b\"),l=a(\"c\"),u;if(o?(u=o.length,s?(u=Math.min(u,s.length),l&&(u=Math.min(u,l.length))):l?u=Math.min(u,l.length):u=0):s&&l&&(u=Math.min(s.length,l.length)),!u){r.visible=!1;return}r._length=u,a(\"sum\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&a(\"hovertemplate\");var c=u<Pxt.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"mode\",c),zT.hasMarkers(r)&&Ixt(t,r,n,i,a,{gradient:!0}),zT.hasLines(r)&&(Rxt(t,r,n,i,a,{backoff:!0}),Dbe(t,r,a),a(\"connectgaps\")),zT.hasText(r)&&(a(\"texttemplate\"),Dxt(t,r,i,a));var f=[];(zT.hasMarkers(r)||zT.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),f.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(zxt(t,r,n,a),zT.hasLines(r)||Dbe(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&f.push(\"fills\"),a(\"hoveron\",f.join(\"+\")||\"points\"),Rbe.coerceSelectionMarkerOpacity(r,a)}});var Obe=ye((ilr,qbe)=>{\"use strict\";var bH=Qa();qbe.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot;return i.aLabel=bH.tickText(a.aaxis,t.a,!0).text,i.bLabel=bH.tickText(a.baxis,t.b,!0).text,i.cLabel=bH.tickText(a.caxis,t.c,!0).text,i}});var Vbe=ye((nlr,Ube)=>{\"use strict\";var wH=uo(),qxt=z0(),Oxt=km(),Bxt=F0(),Nxt=q0().calcMarkerSize,Bbe=[\"a\",\"b\",\"c\"],Nbe={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};Ube.exports=function(t,r){var n=t._fullLayout[r.subplot],i=n.sum,a=r.sum||i,o={a:r.a,b:r.b,c:r.c},s=r.ids,l,u,c,f,h,d;for(l=0;l<Bbe.length;l++)if(c=Bbe[l],!o[c]){for(h=o[Nbe[c][0]],d=o[Nbe[c][1]],f=new 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o.x0=Math.max(Math.min(o.x0,c),u),o.x1=Math.max(Math.min(o.x1,c),u),a}var f=o.cd[o.index],h=o.trace,d=o.subplot;o.a=f.a,o.b=f.b,o.c=f.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var v={};v[h.subplot]={_subplot:d};var x=h._module.formatLabels(f,h,v);o.aLabel=x.aLabel,o.bLabel=x.bLabel,o.cLabel=x.cLabel;var b=f.hi||h.hoverinfo,g=[];function E(A,L){g.push(A._hovertitle+\": \"+L)}if(!h.hovertemplate){var k=b.split(\"+\");k.indexOf(\"all\")!==-1&&(k=[\"a\",\"b\",\"c\"]),k.indexOf(\"a\")!==-1&&E(d.aaxis,o.aLabel),k.indexOf(\"b\")!==-1&&E(d.baxis,o.bLabel),k.indexOf(\"c\")!==-1&&E(d.caxis,o.cLabel)}return o.extraText=g.join(\"<br>\"),o.hovertemplate=h.hovertemplate,a}});var Xbe=ye((slr,Zbe)=>{\"use strict\";Zbe.exports=function(t,r,n,i,a){if(r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),i[a]){var o=i[a];t.a=o.a,t.b=o.b,t.c=o.c}else t.a=r.a,t.b=r.b,t.c=r.c;return t}});var a2e=ye((llr,n2e)=>{\"use strict\";var e2e=xa(),Hxt=id(),TH=ba(),By=Mr(),Dm=By.strTranslate,M8=By._,qT=va(),E8=ao(),L4=ym(),AH=no().extendFlat,Gxt=Xu(),E_=Qa(),Ybe=gv(),Kbe=Nc(),t2e=Sg(),Jbe=t2e.freeMode,jxt=t2e.rectMode,SH=Mb(),Wxt=wf().prepSelect,Zxt=wf().selectOnClick,Xxt=wf().clearOutline,Yxt=wf().clearSelectionsCache,r2e=ad();function i2e(e,t){this.id=e.id,this.graphDiv=e.graphDiv,this.init(t),this.makeFramework(t),this.updateFx(t),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}n2e.exports=i2e;var zm=i2e.prototype;zm.init=function(e){this.container=e._ternarylayer,this.defs=e._defs,this.layoutId=e._uid,this.traceHash={},this.layers={}};zm.plot=function(e,t){var r=this,n=t[r.id],i=t._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){r._hasClipOnAxisFalse=!0;break}}r.updateLayers(n),r.adjustLayout(n,i),Gxt.generalUpdatePerTraceModule(r.graphDiv,r,e,n),r.layers.plotbg.select(\"path\").call(qT.fill,n.bgcolor)};zm.makeFramework=function(e){var t=this,r=t.graphDiv,n=e[t.id],i=t.clipId=\"clip\"+t.layoutId+t.id,a=t.clipIdRelative=\"clip-relative\"+t.layoutId+t.id;t.clipDef=By.ensureSingleById(e._clips,\"clipPath\",i,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.clipDefRelative=By.ensureSingleById(e._clips,\"clipPath\",a,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.plotContainer=By.ensureSingle(t.container,\"g\",t.id),t.updateLayers(n),E8.setClipUrl(t.layers.backplot,i,r),E8.setClipUrl(t.layers.grids,i,r)};zm.updateFx=function(e){e._ternarylayer.selectAll(\"g.toplevel\").style(\"cursor\",e.dragmode===\"pan\"?\"move\":\"crosshair\")};zm.updateLayers=function(e){var t=this,r=t.layers,n=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];e.aaxis.layer===\"below traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"below traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"below traces\"&&n.push(\"caxis\",\"cline\"),n.push(\"frontplot\"),e.aaxis.layer===\"above traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"above traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"above traces\"&&n.push(\"caxis\",\"cline\");var i=t.plotContainer.selectAll(\"g.toplevel\").data(n,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",function(o){return\"toplevel \"+o}).each(function(o){var s=e2e.select(this);r[o]=s,o===\"frontplot\"?s.append(\"g\").classed(\"scatterlayer\",!0):o===\"backplot\"?s.append(\"g\").classed(\"maplayer\",!0):o===\"plotbg\"?s.append(\"path\").attr(\"d\",\"M0,0Z\"):o===\"aline\"||o===\"bline\"||o===\"cline\"?s.append(\"path\"):o===\"grids\"&&a.forEach(function(l){r[l]=s.append(\"g\").classed(\"grid \"+l,!0)})}),i.order()};var FT=Math.sqrt(4/3);zm.adjustLayout=function(e,t){var r=this,n=e.domain,i=(n.x[0]+n.x[1])/2,a=(n.y[0]+n.y[1])/2,o=n.x[1]-n.x[0],s=n.y[1]-n.y[0],l=o*t.w,u=s*t.h,c=e.sum,f=e.aaxis.min,h=e.baxis.min,d=e.caxis.min,v,x,b,g,E,k;l>FT*u?(g=u,b=g*FT):(b=l,g=b/FT),E=o*b/l,k=s*g/u,v=t.l+t.w*i-b/2,x=t.t+t.h*(1-a)-g/2,r.x0=v,r.y0=x,r.w=b,r.h=g,r.sum=c,r.xaxis={type:\"linear\",range:[f+2*d-c,c-f-2*h],domain:[i-E/2,i+E/2],_id:\"x\"},L4(r.xaxis,r.graphDiv._fullLayout),r.xaxis.setScale(),r.xaxis.isPtWithinRange=function(V){return V.a>=r.aaxis.range[0]&&V.a<=r.aaxis.range[1]&&V.b>=r.baxis.range[1]&&V.b<=r.baxis.range[0]&&V.c>=r.caxis.range[1]&&V.c<=r.caxis.range[0]},r.yaxis={type:\"linear\",range:[f,c-h-d],domain:[a-k/2,a+k/2],_id:\"y\"},L4(r.yaxis,r.graphDiv._fullLayout),r.yaxis.setScale(),r.yaxis.isPtWithinRange=function(){return!0};var A=r.yaxis.domain[0],L=r.aaxis=AH({},e.aaxis,{range:[f,c-h-d],side:\"left\",tickangle:(+e.aaxis.tickangle||0)-30,domain:[A,A+k*FT],anchor:\"free\",position:0,_id:\"y\",_length:b});L4(L,r.graphDiv._fullLayout),L.setScale();var _=r.baxis=AH({},e.baxis,{range:[c-f-d,h],side:\"bottom\",domain:r.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:b});L4(_,r.graphDiv._fullLayout),_.setScale();var C=r.caxis=AH({},e.caxis,{range:[c-f-h,d],side:\"right\",tickangle:(+e.caxis.tickangle||0)+30,domain:[A,A+k*FT],anchor:\"free\",position:0,_id:\"y\",_length:b});L4(C,r.graphDiv._fullLayout),C.setScale();var M=\"M\"+v+\",\"+(x+g)+\"h\"+b+\"l-\"+b/2+\",-\"+g+\"Z\";r.clipDef.select(\"path\").attr(\"d\",M),r.layers.plotbg.select(\"path\").attr(\"d\",M);var p=\"M0,\"+g+\"h\"+b+\"l-\"+b/2+\",-\"+g+\"Z\";r.clipDefRelative.select(\"path\").attr(\"d\",p);var P=Dm(v,x);r.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),r.clipDefRelative.select(\"path\").attr(\"transform\",null);var T=Dm(v-_._offset,x+g);r.layers.baxis.attr(\"transform\",T),r.layers.bgrid.attr(\"transform\",T);var F=Dm(v+b/2,x)+\"rotate(30)\"+Dm(0,-L._offset);r.layers.aaxis.attr(\"transform\",F),r.layers.agrid.attr(\"transform\",F);var q=Dm(v+b/2,x)+\"rotate(-30)\"+Dm(0,-C._offset);r.layers.caxis.attr(\"transform\",q),r.layers.cgrid.attr(\"transform\",q),r.drawAxes(!0),r.layers.aline.select(\"path\").attr(\"d\",L.showline?\"M\"+v+\",\"+(x+g)+\"l\"+b/2+\",-\"+g:\"M0,0\").call(qT.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),r.layers.bline.select(\"path\").attr(\"d\",_.showline?\"M\"+v+\",\"+(x+g)+\"h\"+b:\"M0,0\").call(qT.stroke,_.linecolor||\"#000\").style(\"stroke-width\",(_.linewidth||0)+\"px\"),r.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(v+b/2)+\",\"+x+\"l\"+b/2+\",\"+g:\"M0,0\").call(qT.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),r.graphDiv._context.staticPlot||r.initInteractions(),E8.setClipUrl(r.layers.frontplot,r._hasClipOnAxisFalse?null:r.clipId,r.graphDiv)};zm.drawAxes=function(e){var t=this,r=t.graphDiv,n=t.id.substr(7)+\"title\",i=t.layers,a=t.aaxis,o=t.baxis,s=t.caxis;if(t.drawAx(a),t.drawAx(o),t.drawAx(s),e){var 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k_=ye((clr,s2e)=>{\"use strict\";var nbt=Mr(),abt=Vs(),obt=Ju().defaults;s2e.exports=function(t,r,n,i){var a=i.type,o=i.attributes,s=i.handleDefaults,l=i.partition||\"x\",u=r._subplots[a],c=u.length,f=c&&u[0].replace(/\\d+$/,\"\"),h,d;function v(E,k){return nbt.coerce(h,d,o,E,k)}for(var x=0;x<c;x++){var b=u[x];t[b]?h=t[b]:h=t[b]={},d=abt.newContainer(r,b,f),i.noUirevision||v(\"uirevision\",r.uirevision);var g={};g[l]=[x/c,(x+1)/c],obt(d,r,v,g),i.id=b,s(h,d,v,i)}}});var f2e=ye((flr,c2e)=>{\"use strict\";var sbt=va(),lbt=Vs(),C8=Mr(),ubt=k_(),cbt=e_(),fbt=t_(),hbt=T3(),dbt=xb(),vbt=YM(),u2e=kH(),l2e=[\"aaxis\",\"baxis\",\"caxis\"];c2e.exports=function(t,r,n){ubt(t,r,n,{type:\"ternary\",attributes:u2e,handleDefaults:pbt,font:r.font,paper_bgcolor:r.paper_bgcolor})};function pbt(e,t,r,n){var i=r(\"bgcolor\"),a=r(\"sum\");n.bgColor=sbt.combine(i,n.paper_bgcolor);for(var o,s,l,u=0;u<l2e.length;u++)o=l2e[u],s=e[o]||{},l=lbt.newContainer(t,o),l._name=o,gbt(s,l,n,t);var c=t.aaxis,f=t.baxis,h=t.caxis;c.min+f.min+h.min>=a&&(c.min=0,f.min=0,h.min=0,e.aaxis&&delete e.aaxis.min,e.baxis&&delete e.baxis.min,e.caxis&&delete e.caxis.min)}function gbt(e,t,r,n){var i=u2e[t._name];function a(d,v){return C8.coerce(e,t,i,d,v)}a(\"uirevision\",n.uirevision),t.type=\"linear\";var o=a(\"color\"),s=o!==i.color.dflt?o:r.font.color,l=t._name,u=l.charAt(0).toUpperCase(),c=\"Component \"+u,f=a(\"title.text\",c);t._hovertitle=f===c?f:u,C8.coerceFont(a,\"title.font\",r.font,{overrideDflt:{size:C8.bigFont(r.font.size),color:s}}),a(\"min\"),dbt(e,t,a,\"linear\"),fbt(e,t,a,\"linear\"),cbt(e,t,a,\"linear\",{noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0}),hbt(e,t,a,{outerTicks:!0});var h=a(\"showticklabels\");h&&(C8.coerceFont(a,\"tickfont\",r.font,{overrideDflt:{color:s}}),a(\"tickangle\"),a(\"tickformat\")),vbt(e,t,a,{dfltColor:o,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),a(\"hoverformat\"),a(\"layer\")}});var h2e=ye(W0=>{\"use strict\";var mbt=a2e(),ybt=kd().getSubplotCalcData,_bt=Mr().counterRegex,OT=\"ternary\";W0.name=OT;var xbt=W0.attr=\"subplot\";W0.idRoot=OT;W0.idRegex=W0.attrRegex=_bt(OT);var bbt=W0.attributes={};bbt[xbt]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"};W0.layoutAttributes=kH();W0.supplyLayoutDefaults=f2e();W0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[OT],a=0;a<i.length;a++){var o=i[a],s=ybt(n,OT,o),l=r[o]._subplot;l||(l=new mbt({id:o,graphDiv:t,container:r._ternarylayer.node()},r),r[o]._subplot=l),l.plot(s,r,t._promises)}};W0.clean=function(e,t,r,n){for(var i=n._subplots[OT]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!t[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers[\"a-title\"].remove(),s.layers[\"b-title\"].remove(),s.layers[\"c-title\"].remove())}};W0.updateFx=function(e){var 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jh=v4(),BT=no().extendFlat,m2e=Oc().axisHoverFormat;y2e.exports={y:jh.y,x:jh.x,x0:jh.x0,y0:jh.y0,xhoverformat:m2e(\"x\"),yhoverformat:m2e(\"y\"),name:BT({},jh.name,{}),orientation:BT({},jh.orientation,{}),bandwidth:{valType:\"number\",min:0,editType:\"calc\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},scalemode:{valType:\"enumerated\",values:[\"width\",\"count\"],dflt:\"width\",editType:\"calc\"},spanmode:{valType:\"enumerated\",values:[\"soft\",\"hard\",\"manual\"],dflt:\"soft\",editType:\"calc\"},span:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:jh.fillcolor,points:BT({},jh.boxpoints,{}),jitter:BT({},jh.jitter,{}),pointpos:BT({},jh.pointpos,{}),width:BT({},jh.width,{}),marker:jh.marker,text:jh.text,hovertext:jh.hovertext,hovertemplate:jh.hovertemplate,quartilemethod:jh.quartilemethod,box:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},width:{valType:\"number\",min:0,max:1,dflt:.25,editType:\"plot\"},fillcolor:{valType:\"color\",editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},editType:\"plot\"},meanline:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"plot\"},side:{valType:\"enumerated\",values:[\"both\",\"positive\",\"negative\"],dflt:\"both\",editType:\"calc\"},offsetgroup:jh.offsetgroup,alignmentgroup:jh.alignmentgroup,selected:jh.selected,unselected:jh.unselected,hoveron:{valType:\"flaglist\",flags:[\"violins\",\"points\",\"kde\"],dflt:\"violins+points+kde\",extras:[\"all\"],editType:\"style\"},zorder:jh.zorder}});var IH=ye((glr,_2e)=>{\"use strict\";var LH=p4(),PH=Mr().extendFlat;_2e.exports={violinmode:PH({},LH.boxmode,{}),violingap:PH({},LH.boxgap,{}),violingroupgap:PH({},LH.boxgroupgap,{})}});var A2e=ye((mlr,T2e)=>{\"use strict\";var x2e=Mr(),wbt=va(),b2e=m4(),w2e=CH();T2e.exports=function(t,r,n,i){function a(L,_){return x2e.coerce(t,r,w2e,L,_)}function o(L,_){return x2e.coerce2(t,r,w2e,L,_)}if(b2e.handleSampleDefaults(t,r,a,i),r.visible!==!1){a(\"bandwidth\"),a(\"side\");var s=a(\"width\");s||(a(\"scalegroup\",r.name),a(\"scalemode\"));var l=a(\"span\"),u;Array.isArray(l)&&(u=\"manual\"),a(\"spanmode\",u);var c=a(\"line.color\",(t.marker||{}).color||n),f=a(\"line.width\"),h=a(\"fillcolor\",wbt.addOpacity(r.line.color,.5));b2e.handlePointsDefaults(t,r,a,{prefix:\"\"});var d=o(\"box.width\"),v=o(\"box.fillcolor\",h),x=o(\"box.line.color\",c),b=o(\"box.line.width\",f),g=a(\"box.visible\",!!(d||v||x||b));g||(r.box={visible:!1});var E=o(\"meanline.color\",c),k=o(\"meanline.width\",f),A=a(\"meanline.visible\",!!(E||k));A||(r.meanline={visible:!1}),a(\"quartilemethod\"),a(\"zorder\")}}});var M2e=ye((ylr,S2e)=>{\"use strict\";var Tbt=Mr(),Abt=IH(),Sbt=UI();S2e.exports=function(t,r,n){function i(a,o){return Tbt.coerce(t,r,Abt,a,o)}Sbt._supply(t,r,n,i,\"violin\")}});var L8=ye(o2=>{\"use strict\";var Mbt=Mr(),Ebt={gaussian:function(e){return 1/Math.sqrt(2*Math.PI)*Math.exp(-.5*e*e)}};o2.makeKDE=function(e,t,r){var n=r.length,i=Ebt.gaussian,a=e.bandwidth,o=1/(n*a);return function(s){for(var l=0,u=0;u<n;u++)l+=i((s-r[u])/a);return o*l}};o2.getPositionOnKdePath=function(e,t,r){var n,i;t.orientation===\"h\"?(n=\"y\",i=\"x\"):(n=\"x\",i=\"y\");var a=Mbt.findPointOnPath(e.path,r,i,{pathLength:e.pathLength}),o=e.posCenterPx,s=a[n],l=t.side===\"both\"?2*o-s:o;return[s,l]};o2.getKdeValue=function(e,t,r){var n=e.pts.map(o2.extractVal),i=o2.makeKDE(e,t,n);return i(r)/e.posDensityScale};o2.extractVal=function(e){return e.v}});var C2e=ye((xlr,k2e)=>{\"use strict\";var RH=Mr(),DH=Qa(),kbt=MV(),E2e=L8(),Cbt=es().BADNUM;k2e.exports=function(t,r){var n=kbt(t,r);if(n[0].t.empty)return n;for(var i=t._fullLayout,a=DH.getFromId(t,r[r.orientation===\"h\"?\"xaxis\":\"yaxis\"]),o=1/0,s=-1/0,l=0,u=0,c=0;c<n.length;c++){var f=n[c],h=f.pts.map(E2e.extractVal),d=f.bandwidth=Pbt(r,f,h),v=f.span=Ibt(r,f,a,d);if(f.min===f.max&&d===0)v=f.span=[f.min,f.max],f.density=[{v:1,t:v[0]}],f.bandwidth=d,l=Math.max(l,1);else{var x=v[1]-v[0],b=Math.ceil(x/(d/3)),g=x/b;if(!isFinite(g)||!isFinite(b))return RH.error(\"Something went wrong with computing the violin span\"),n[0].t.empty=!0,n;var E=E2e.makeKDE(f,r,h);f.density=new Array(b);for(var k=0,A=v[0];A<v[1]+g/2;k++,A+=g){var L=E(A);f.density[k]={v:L,t:A},l=Math.max(l,L)}}u=Math.max(u,h.length),o=Math.min(o,v[0]),s=Math.max(s,v[1])}var _=DH.findExtremes(a,[o,s],{padded:!0});if(r._extremes[a._id]=_,r.width)n[0].t.maxKDE=l;else{var C=i._violinScaleGroupStats,M=r.scalegroup,p=C[M];p?(p.maxKDE=Math.max(p.maxKDE,l),p.maxCount=Math.max(p.maxCount,u)):C[M]={maxKDE:l,maxCount:u}}return n[0].t.labels.kde=RH._(t,\"kde:\"),n};function Lbt(e,t,r){var n=Math.min(t,r/1.349);return 1.059*n*Math.pow(e,-.2)}function Pbt(e,t,r){var n=t.max-t.min;if(!n)return e.bandwidth?e.bandwidth:0;if(e.bandwidth)return Math.max(e.bandwidth,n/1e4);var i=r.length,a=RH.stdev(r,i-1,t.mean);return Math.max(Lbt(i,a,t.q3-t.q1),n/100)}function Ibt(e,t,r,n){var i=e.spanmode,a=e.span||[],o=[t.min,t.max],s=[t.min-2*n,t.max+2*n],l;function u(f){var h=a[f],d=r.type===\"multicategory\"?r.r2c(h):r.d2c(h,0,e[t.valLetter+\"calendar\"]);return d===Cbt?s[f]:d}i===\"soft\"?l=s:i===\"hard\"?l=o:l=[u(0),u(1)];var c={type:\"linear\",range:l};return DH.setConvert(c),c.cleanRange(),l}});var I2e=ye((blr,P2e)=>{\"use strict\";var Rbt=HI().setPositionOffset,L2e=[\"v\",\"h\"];P2e.exports=function(t,r){for(var n=t.calcdata,i=r.xaxis,a=r.yaxis,o=0;o<L2e.length;o++){for(var s=L2e[o],l=s===\"h\"?a:i,u=[],c=0;c<n.length;c++){var f=n[c],h=f[0].t,d=f[0].trace;d.visible===!0&&d.type===\"violin\"&&!h.empty&&d.orientation===s&&d.xaxis===i._id&&d.yaxis===a._id&&u.push(c)}Rbt(\"violin\",t,u,l)}}});var D2e=ye((wlr,R2e)=>{\"use strict\";var zH=xa(),FH=Mr(),Dbt=ao(),qH=GI(),zbt=fU(),Fbt=L8();R2e.exports=function(t,r,n,i){var a=t._context.staticPlot,o=t._fullLayout,s=r.xaxis,l=r.yaxis;function u(c,f){var h=zbt(c,{xaxis:s,yaxis:l,trace:f,connectGaps:!0,baseTolerance:.75,shape:\"spline\",simplify:!0,linearized:!0});return Dbt.smoothopen(h[0],1)}FH.makeTraceGroups(i,n,\"trace violins\").each(function(c){var f=zH.select(this),h=c[0],d=h.t,v=h.trace;if(v.visible!==!0||d.empty){f.remove();return}var x=d.bPos,b=d.bdPos,g=r[d.valLetter+\"axis\"],E=r[d.posLetter+\"axis\"],k=v.side===\"both\",A=k||v.side===\"positive\",L=k||v.side===\"negative\",_=f.selectAll(\"path.violin\").data(FH.identity);_.enter().append(\"path\").style(\"vector-effect\",a?\"none\":\"non-scaling-stroke\").attr(\"class\",\"violin\"),_.exit().remove(),_.each(function(V){var H=zH.select(this),X=V.density,G=X.length,N=E.c2l(V.pos+x,!0),W=E.l2p(N),re;if(v.width)re=d.maxKDE/b;else{var ae=o._violinScaleGroupStats[v.scalegroup];re=v.scalemode===\"count\"?ae.maxKDE/b*(ae.maxCount/V.pts.length):ae.maxKDE/b}var _e,Me,ke,ge,ie,Te,Ee;if(A){for(Te=new Array(G),ge=0;ge<G;ge++)Ee=Te[ge]={},Ee[d.posLetter]=N+X[ge].v/re,Ee[d.valLetter]=g.c2l(X[ge].t,!0);_e=u(Te,v)}if(L){for(Te=new Array(G),ie=0,ge=G-1;ie<G;ie++,ge--)Ee=Te[ie]={},Ee[d.posLetter]=N-X[ge].v/re,Ee[d.valLetter]=g.c2l(X[ge].t,!0);Me=u(Te,v)}if(k)ke=_e+\"L\"+Me.substr(1)+\"Z\";else{var Ae=[W,g.c2p(X[0].t)],ze=[W,g.c2p(X[G-1].t)];v.orientation===\"h\"&&(Ae.reverse(),ze.reverse()),A?ke=\"M\"+Ae+\"L\"+_e.substr(1)+\"L\"+ze:ke=\"M\"+ze+\"L\"+Me.substr(1)+\"L\"+Ae}H.attr(\"d\",ke),V.posCenterPx=W,V.posDensityScale=re*b,V.path=H.node(),V.pathLength=V.path.getTotalLength()/(k?2:1)});var C=v.box,M=C.width,p=(C.line||{}).width,P,T;k?(P=b*M,T=0):A?(P=[0,b*M/2],T=p*{x:1,y:-1}[d.posLetter]):(P=[b*M/2,0],T=p*{x:-1,y:1}[d.posLetter]),qH.plotBoxAndWhiskers(f,{pos:E,val:g},v,{bPos:x,bdPos:P,bPosPxOffset:T}),qH.plotBoxMean(f,{pos:E,val:g},v,{bPos:x,bdPos:P,bPosPxOffset:T});var F;!v.box.visible&&v.meanline.visible&&(F=FH.identity);var q=f.selectAll(\"path.meanline\").data(F||[]);q.enter().append(\"path\").attr(\"class\",\"meanline\").style(\"fill\",\"none\").style(\"vector-effect\",a?\"none\":\"non-scaling-stroke\"),q.exit().remove(),q.each(function(V){var H=g.c2p(V.mean,!0),X=Fbt.getPositionOnKdePath(V,v,H);zH.select(this).attr(\"d\",v.orientation===\"h\"?\"M\"+H+\",\"+X[0]+\"V\"+X[1]:\"M\"+X[0]+\",\"+H+\"H\"+X[1])}),qH.plotPoints(f,{x:s,y:l},v,d)})}});var q2e=ye((Tlr,F2e)=>{\"use strict\";var z2e=xa(),NT=va(),qbt=op().stylePoints;F2e.exports=function(t){var r=z2e.select(t).selectAll(\"g.trace.violins\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=n[0].trace,a=z2e.select(this),o=i.box||{},s=o.line||{},l=i.meanline||{},u=l.width;a.selectAll(\"path.violin\").style(\"stroke-width\",i.line.width+\"px\").call(NT.stroke,i.line.color).call(NT.fill,i.fillcolor),a.selectAll(\"path.box\").style(\"stroke-width\",s.width+\"px\").call(NT.stroke,s.color).call(NT.fill,o.fillcolor);var c={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};a.selectAll(\"path.mean\").style(c).call(NT.stroke,l.color),a.selectAll(\"path.meanline\").style(c).call(NT.stroke,l.color),qbt(a,i,t)})}});var U2e=ye((Alr,N2e)=>{\"use strict\";var Obt=va(),OH=Mr(),Bbt=Qa(),O2e=PV(),B2e=L8();N2e.exports=function(t,r,n,i,a){a||(a={});var o=a.hoverLayer,s=t.cd,l=s[0].trace,u=l.hoveron,c=u.indexOf(\"violins\")!==-1,f=u.indexOf(\"kde\")!==-1,h=[],d,v;if(c||f){var x=O2e.hoverOnBoxes(t,r,n,i);if(f&&x.length>0){var b=t.xa,g=t.ya,E,k,A,L,_;l.orientation===\"h\"?(_=r,E=\"y\",A=g,k=\"x\",L=b):(_=n,E=\"x\",A=b,k=\"y\",L=g);var C=s[t.index];if(_>=C.span[0]&&_<=C.span[1]){var M=OH.extendFlat({},t),p=L.c2p(_,!0),P=B2e.getKdeValue(C,l,_),T=B2e.getPositionOnKdePath(C,l,p),F=A._offset,q=A._length;M[E+\"0\"]=T[0],M[E+\"1\"]=T[1],M[k+\"0\"]=M[k+\"1\"]=p,M[k+\"Label\"]=k+\": \"+Bbt.hoverLabelText(L,_,l[k+\"hoverformat\"])+\", \"+s[0].t.labels.kde+\" \"+P.toFixed(3);for(var V=0,H=0;H<x.length;H++)if(x[H].attr===\"med\"){V=H;break}M.spikeDistance=x[V].spikeDistance;var X=E+\"Spike\";M[X]=x[V][X],x[V].spikeDistance=void 0,x[V][X]=void 0,M.hovertemplate=!1,h.push(M),v={},v[E+\"1\"]=OH.constrain(F+T[0],F,F+q),v[E+\"2\"]=OH.constrain(F+T[1],F,F+q),v[k+\"1\"]=v[k+\"2\"]=L._offset+p}}c&&(h=h.concat(x))}u.indexOf(\"points\")!==-1&&(d=O2e.hoverOnPoints(t,r,n));var G=o.selectAll(\".violinline-\"+l.uid).data(v?[0]:[]);return G.enter().append(\"line\").classed(\"violinline-\"+l.uid,!0).attr(\"stroke-width\",1.5),G.exit().remove(),G.attr(v).call(Obt.stroke,t.color),i===\"closest\"?d?[d]:h:(d&&h.push(d),h)}});var H2e=ye((Slr,V2e)=>{\"use strict\";V2e.exports={attributes:CH(),layoutAttributes:IH(),supplyDefaults:A2e(),crossTraceDefaults:m4().crossTraceDefaults,supplyLayoutDefaults:M2e(),calc:C2e(),crossTraceCalc:I2e(),plot:D2e(),style:q2e(),styleOnSelect:op().styleOnSelect,hoverPoints:U2e(),selectPoints:IV(),moduleType:\"trace\",name:\"violin\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"violinLayout\",\"zoomScale\"],meta:{}}});var j2e=ye((Mlr,G2e)=>{\"use strict\";G2e.exports=H2e()});var Z2e=ye((Elr,W2e)=>{\"use strict\";W2e.exports={eventDataKeys:[\"percentInitial\",\"percentPrevious\",\"percentTotal\"]}});var NH=ye((klr,K2e)=>{\"use strict\";var lc=Lm(),BH=Uc().line,Nbt=vl(),X2e=Oc().axisHoverFormat,Ubt=Wo().hovertemplateAttrs,Vbt=Wo().texttemplateAttrs,Y2e=Z2e(),Ny=no().extendFlat,Hbt=va();K2e.exports={x:lc.x,x0:lc.x0,dx:lc.dx,y:lc.y,y0:lc.y0,dy:lc.dy,xperiod:lc.xperiod,yperiod:lc.yperiod,xperiod0:lc.xperiod0,yperiod0:lc.yperiod0,xperiodalignment:lc.xperiodalignment,yperiodalignment:lc.yperiodalignment,xhoverformat:X2e(\"x\"),yhoverformat:X2e(\"y\"),hovertext:lc.hovertext,hovertemplate:Ubt({},{keys:Y2e.eventDataKeys}),hoverinfo:Ny({},Nbt.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent total\",\"value\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:Vbt({editType:\"plot\"},{keys:Y2e.eventDataKeys.concat([\"label\",\"value\"])}),text:lc.text,textposition:lc.textposition,insidetextanchor:Ny({},lc.insidetextanchor,{dflt:\"middle\"}),textangle:Ny({},lc.textangle,{dflt:0}),textfont:lc.textfont,insidetextfont:lc.insidetextfont,outsidetextfont:lc.outsidetextfont,constraintext:lc.constraintext,cliponaxis:lc.cliponaxis,orientation:Ny({},lc.orientation,{}),offset:Ny({},lc.offset,{arrayOk:!1}),width:Ny({},lc.width,{arrayOk:!1}),marker:Gbt(),connector:{fillcolor:{valType:\"color\",editType:\"style\"},line:{color:Ny({},BH.color,{dflt:Hbt.defaultLine}),width:Ny({},BH.width,{dflt:0,editType:\"plot\"}),dash:BH.dash,editType:\"style\"},visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},offsetgroup:lc.offsetgroup,alignmentgroup:lc.alignmentgroup,zorder:lc.zorder};function Gbt(){var e=Ny({},lc.marker);return delete e.pattern,delete e.cornerradius,e}});var UH=ye((Clr,J2e)=>{\"use strict\";J2e.exports={funnelmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},funnelgap:{valType:\"number\",min:0,max:1,editType:\"calc\"},funnelgroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"}}});var HH=ye((Llr,Q2e)=>{\"use strict\";var P8=Mr(),jbt=Hb(),Wbt=r0().handleText,Zbt=K3(),Xbt=Pg(),$2e=NH(),VH=va();function Ybt(e,t,r,n){function i(f,h){return P8.coerce(e,t,$2e,f,h)}var a=Zbt(e,t,n,i);if(!a){t.visible=!1;return}Xbt(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"orientation\",t.y&&!t.x?\"v\":\"h\"),i(\"offset\"),i(\"width\");var o=i(\"text\");i(\"hovertext\"),i(\"hovertemplate\");var s=i(\"textposition\");Wbt(e,t,n,i,s,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&!t.texttemplate&&i(\"textinfo\",P8.isArrayOrTypedArray(o)?\"text+value\":\"value\");var l=i(\"marker.color\",r);i(\"marker.line.color\",VH.defaultLine),i(\"marker.line.width\");var u=i(\"connector.visible\");if(u){i(\"connector.fillcolor\",Kbt(l));var c=i(\"connector.line.width\");c&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function Kbt(e){var t=P8.isArrayOrTypedArray(e)?\"#000\":e;return VH.addOpacity(t,.5*VH.opacity(t))}function Jbt(e,t){var r,n;function i(o){return P8.coerce(n._input,n,$2e,o)}for(var a=0;a<e.length;a++)n=e[a],n.type===\"funnel\"&&(r=n._input,jbt(r,n,t,i,t.funnelmode))}Q2e.exports={supplyDefaults:Ybt,crossTraceDefaults:Jbt}});var twe=ye((Plr,ewe)=>{\"use strict\";var $bt=Mr(),Qbt=UH();ewe.exports=function(e,t,r){var n=!1;function i(s,l){return $bt.coerce(e,t,Qbt,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"funnel\"){n=!0;break}}n&&(i(\"funnelmode\"),i(\"funnelgap\",.2),i(\"funnelgroupgap\"))}});var iwe=ye((Ilr,rwe)=>{\"use strict\";var UT=Mr();rwe.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;UT.mergeArray(r.text,t,\"tx\"),UT.mergeArray(r.hovertext,t,\"htx\");var i=r.marker;if(i){UT.mergeArray(i.opacity,t,\"mo\"),UT.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(UT.mergeArray(a.color,t,\"mlc\"),UT.mergeArrayCastPositive(a.width,t,\"mlw\"))}}});var swe=ye((Rlr,owe)=>{\"use strict\";var nwe=Qa(),awe=Rg(),e2t=iwe(),t2t=F0(),P4=es().BADNUM;owe.exports=function(t,r){var n=nwe.getFromId(t,r.xaxis||\"x\"),i=nwe.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f,h;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=awe(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=awe(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;var d=Math.min(o.length,a.length),v=new Array(d);for(r._base=[],f=0;f<d;f++){a[f]<0&&(a[f]=P4);var x=!1;a[f]!==P4&&f+1<d&&a[f+1]!==P4&&(x=!0),h=v[f]={p:o[f],s:a[f],cNext:x},r._base[f]=-.5*h.s,u&&(v[f].orig_p=s[f],v[f][c+\"End\"]=l.ends[f],v[f][c+\"Start\"]=l.starts[f]),r.ids&&(h.id=String(r.ids[f])),f===0&&(v[0].vTotal=0),v[0].vTotal+=GH(h.s),h.begR=GH(h.s)/GH(v[0].s)}var b;for(f=0;f<d;f++)h=v[f],h.s!==P4&&(h.sumR=h.s/v[0].vTotal,h.difR=b!==void 0?h.s/b:1,b=h.s);return e2t(v,r),t2t(v,r),v};function GH(e){return e===P4?0:e}});var cwe=ye((Dlr,uwe)=>{\"use strict\";var lwe=Gb().setGroupPositions;uwe.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h],v=d.orientation===\"h\";d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"funnel\"&&(f=a[h],v?c.push(f):u.push(f),l.push(f))}var x={mode:n.funnelmode,norm:n.funnelnorm,gap:n.funnelgap,groupgap:n.funnelgroupgap};for(lwe(t,o,s,u,x),lwe(t,s,o,c,x),h=0;h<l.length;h++){f=l[h];for(var b=0;b<f.length;b++)b+1<f.length&&(f[b].nextP0=f[b+1].p0,f[b].nextS0=f[b+1].s0,f[b].nextP1=f[b+1].p1,f[b].nextS1=f[b+1].s1)}}});var vwe=ye((zlr,dwe)=>{\"use strict\";var I8=xa(),L_=Mr(),fwe=ao(),C_=es().BADNUM,r2t=i2(),i2t=_v().clearMinTextSize;dwe.exports=function(t,r,n,i){var a=t._fullLayout;i2t(\"funnel\",a),n2t(t,r,n,i),a2t(t,r,n,i),r2t.plot(t,r,n,i,{mode:a.funnelmode,norm:a.funnelmode,gap:a.funnelgap,groupgap:a.funnelgroupgap})};function n2t(e,t,r,n){var i=t.xaxis,a=t.yaxis;L_.makeTraceGroups(n,r,\"trace bars\").each(function(o){var 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mwe=ye((Flr,gwe)=>{\"use strict\";var I4=xa(),pwe=ao(),jH=va(),o2t=N1().DESELECTDIM,s2t=N0(),l2t=_v().resizeText,u2t=s2t.styleTextPoints;function c2t(e,t,r){var n=r||I4.select(e).selectAll('g[class^=\"funnellayer\"]').selectAll(\"g.trace\");l2t(e,n,\"funnel\"),n.style(\"opacity\",function(i){return i[0].trace.opacity}),n.each(function(i){var a=I4.select(this),o=i[0].trace;a.selectAll(\".point > path\").each(function(s){if(!s.isBlank){var l=o.marker;I4.select(this).call(jH.fill,s.mc||l.color).call(jH.stroke,s.mlc||l.line.color).call(pwe.dashLine,l.line.dash,s.mlw||l.line.width).style(\"opacity\",o.selectedpoints&&!s.selected?o2t:1)}}),u2t(a,o,e),a.selectAll(\".regions\").each(function(){I4.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(jH.fill,o.connector.fillcolor)}),a.selectAll(\".lines\").each(function(){var s=o.connector.line;pwe.lineGroupStyle(I4.select(this).selectAll(\"path\"),s.width,s.color,s.dash)})})}gwe.exports={style:c2t}});var xwe=ye((qlr,_we)=>{\"use 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Uu=Lm(),ZH=Uc().line,d2t=vl(),Cwe=Oc().axisHoverFormat,v2t=Wo().hovertemplateAttrs,p2t=Wo().texttemplateAttrs,Lwe=kwe(),VT=no().extendFlat,g2t=va();function XH(e){return{marker:{color:VT({},Uu.marker.color,{arrayOk:!1,editType:\"style\"}),line:{color:VT({},Uu.marker.line.color,{arrayOk:!1,editType:\"style\"}),width:VT({},Uu.marker.line.width,{arrayOk:!1,editType:\"style\"}),editType:\"style\"},editType:\"style\"},editType:\"style\"}}Pwe.exports={measure:{valType:\"data_array\",dflt:[],editType:\"calc\"},base:{valType:\"number\",dflt:null,arrayOk:!1,editType:\"calc\"},x:Uu.x,x0:Uu.x0,dx:Uu.dx,y:Uu.y,y0:Uu.y0,dy:Uu.dy,xperiod:Uu.xperiod,yperiod:Uu.yperiod,xperiod0:Uu.xperiod0,yperiod0:Uu.yperiod0,xperiodalignment:Uu.xperiodalignment,yperiodalignment:Uu.yperiodalignment,xhoverformat:Cwe(\"x\"),yhoverformat:Cwe(\"y\"),hovertext:Uu.hovertext,hovertemplate:v2t({},{keys:Lwe.eventDataKeys}),hoverinfo:VT({},d2t.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"initial\",\"delta\",\"final\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"initial\",\"delta\",\"final\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:p2t({editType:\"plot\"},{keys:Lwe.eventDataKeys.concat([\"label\"])}),text:Uu.text,textposition:Uu.textposition,insidetextanchor:Uu.insidetextanchor,textangle:Uu.textangle,textfont:Uu.textfont,insidetextfont:Uu.insidetextfont,outsidetextfont:Uu.outsidetextfont,constraintext:Uu.constraintext,cliponaxis:Uu.cliponaxis,orientation:Uu.orientation,offset:Uu.offset,width:Uu.width,increasing:XH(\"increasing\"),decreasing:XH(\"decreasing\"),totals:XH(\"intermediate 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Dwe=Mr(),m2t=Hb(),y2t=r0().handleText,_2t=K3(),x2t=Pg(),zwe=YH(),b2t=va(),Fwe=HT(),w2t=Fwe.INCREASING.COLOR,T2t=Fwe.DECREASING.COLOR,A2t=\"#4499FF\";function JH(e,t,r){e(t+\".marker.color\",r),e(t+\".marker.line.color\",b2t.defaultLine),e(t+\".marker.line.width\")}function S2t(e,t,r,n){function i(u,c){return Dwe.coerce(e,t,zwe,u,c)}var a=_2t(e,t,n,i);if(!a){t.visible=!1;return}x2t(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"measure\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\");var o=i(\"textposition\");y2t(e,t,n,i,o,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&(i(\"texttemplate\"),t.texttemplate||i(\"textinfo\")),JH(i,\"increasing\",w2t),JH(i,\"decreasing\",T2t),JH(i,\"totals\",A2t);var s=i(\"connector.visible\");if(s){i(\"connector.mode\");var l=i(\"connector.line.width\");l&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function M2t(e,t){var r,n;function i(o){return Dwe.coerce(n._input,n,zwe,o)}if(t.waterfallmode===\"group\")for(var a=0;a<e.length;a++)n=e[a],r=n._input,m2t(r,n,t,i,t.waterfallmode)}qwe.exports={supplyDefaults:S2t,crossTraceDefaults:M2t}});var Bwe=ye((Wlr,Owe)=>{\"use strict\";var E2t=Mr(),k2t=KH();Owe.exports=function(e,t,r){var n=!1;function i(s,l){return E2t.coerce(e,t,k2t,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"waterfall\"){n=!0;break}}n&&(i(\"waterfallmode\"),i(\"waterfallgap\",.2),i(\"waterfallgroupgap\"))}});var jwe=ye((Zlr,Gwe)=>{\"use strict\";var Nwe=Qa(),Uwe=Rg(),Vwe=Mr().mergeArray,C2t=F0(),Hwe=es().BADNUM;function QH(e){return e===\"a\"||e===\"absolute\"}function eG(e){return e===\"t\"||e===\"total\"}Gwe.exports=function(t,r){var n=Nwe.getFromId(t,r.xaxis||\"x\"),i=Nwe.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=Uwe(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=Uwe(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var f=Math.min(o.length,a.length),h=new Array(f),d=0,v,x=!1,b=0;b<f;b++){var g=a[b]||0,E=!1;(a[b]!==Hwe||eG(r.measure[b])||QH(r.measure[b]))&&b+1<f&&(a[b+1]!==Hwe||eG(r.measure[b+1])||QH(r.measure[b+1]))&&(E=!0);var k=h[b]={i:b,p:o[b],s:g,rawS:g,cNext:E};QH(r.measure[b])?(d=k.s,k.isSum=!0,k.dir=\"totals\",k.s=d):eG(r.measure[b])?(k.isSum=!0,k.dir=\"totals\",k.s=d):(k.isSum=!1,k.dir=k.rawS<0?\"decreasing\":\"increasing\",v=k.s,k.s=d+v,d+=v),k.dir===\"totals\"&&(x=!0),u&&(h[b].orig_p=s[b],h[b][c+\"End\"]=l.ends[b],h[b][c+\"Start\"]=l.starts[b]),r.ids&&(k.id=String(r.ids[b])),k.v=(r.base||0)+d}return h.length&&(h[0].hasTotals=x),Vwe(r.text,h,\"tx\"),Vwe(r.hovertext,h,\"htx\"),C2t(h,r),h}});var Xwe=ye((Xlr,Zwe)=>{\"use strict\";var Wwe=Gb().setGroupPositions;Zwe.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h];d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"waterfall\"&&(f=a[h],d.orientation===\"h\"?c.push(f):u.push(f),l.push(f))}var v={mode:n.waterfallmode,norm:n.waterfallnorm,gap:n.waterfallgap,groupgap:n.waterfallgroupgap};for(Wwe(t,o,s,u,v),Wwe(t,s,o,c,v),h=0;h<l.length;h++){f=l[h];for(var x=0;x<f.length;x++){var b=f[x];b.isSum===!1&&(b.s0+=x===0?0:f[x-1].s),x+1<f.length&&(f[x].nextP0=f[x+1].p0,f[x].nextS0=f[x+1].s0)}}}});var Jwe=ye((Ylr,Kwe)=>{\"use strict\";var Ywe=xa(),R8=Mr(),L2t=ao(),GT=es().BADNUM,P2t=i2(),I2t=_v().clearMinTextSize;Kwe.exports=function(t,r,n,i){var a=t._fullLayout;I2t(\"waterfall\",a),P2t.plot(t,r,n,i,{mode:a.waterfallmode,norm:a.waterfallmode,gap:a.waterfallgap,groupgap:a.waterfallgroupgap}),R2t(t,r,n,i)};function R2t(e,t,r,n){var i=t.xaxis,a=t.yaxis;R8.makeTraceGroups(n,r,\"trace bars\").each(function(o){var s=Ywe.select(this),l=o[0].trace,u=R8.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible){u.remove();return}var c=l.orientation===\"h\",f=l.connector.mode,h=u.selectAll(\"g.line\").data(R8.identity);h.enter().append(\"g\").classed(\"line\",!0),h.exit().remove();var d=h.size();h.each(function(v,x){if(!(x!==d-1&&!v.cNext)){var 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t=e._readableState;Pl(\"emitReadable_\",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit(\"readable\"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,gj(e)}function vj(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(gAt,e,t))}function gAt(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var r=t.length;if(Pl(\"maybeReadMore read 0\"),e.read(0),r===t.length)break}t.readingMore=!1}vu.prototype._read=function(e){Y4(this,new cAt(\"_read()\"))};vu.prototype.pipe=function(e,t){var r=this,n=this._readableState;switch(n.pipesCount){case 0:n.pipes=e;break;case 1:n.pipes=[n.pipes,e];break;default:n.pipes.push(e);break}n.pipesCount+=1,Pl(\"pipe count=%d opts=%j\",n.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,a=i?s:x;n.endEmitted?process.nextTick(a):r.once(\"end\",a),e.on(\"unpipe\",o);function 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r=K4.prototype.on.call(this,e,t),n=this._readableState;return e===\"data\"?(n.readableListening=this.listenerCount(\"readable\")>0,n.flowing!==!1&&this.resume()):e===\"readable\"&&!n.endEmitted&&!n.readableListening&&(n.readableListening=n.needReadable=!0,n.flowing=!1,n.emittedReadable=!1,Pl(\"on readable\",n.length,n.reading),n.length?AR(this):n.reading||process.nextTick(yAt,this)),r};vu.prototype.addListener=vu.prototype.on;vu.prototype.removeListener=function(e,t){var r=K4.prototype.removeListener.call(this,e,t);return e===\"readable\"&&process.nextTick(fAe,this),r};vu.prototype.removeAllListeners=function(e){var t=K4.prototype.removeAllListeners.apply(this,arguments);return(e===\"readable\"||e===void 0)&&process.nextTick(fAe,this),t};function fAe(e){var t=e._readableState;t.readableListening=e.listenerCount(\"readable\")>0,t.resumeScheduled&&!t.paused?t.flowing=!0:e.listenerCount(\"data\")>0&&e.resume()}function yAt(e){Pl(\"readable nexttick read 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this._readableState.flowing},set:function(t){this._readableState&&(this._readableState.flowing=t)}});vu._fromList=hAe;Object.defineProperty(vu.prototype,\"readableLength\",{enumerable:!1,get:function(){return this._readableState.length}});function hAe(e,t){if(t.length===0)return null;var r;return t.objectMode?r=t.buffer.shift():!e||e>=t.length?(t.decoder?r=t.buffer.join(\"\"):t.buffer.length===1?r=t.buffer.first():r=t.buffer.concat(t.length),t.buffer.clear()):r=t.buffer.consume(e,t.decoder),r}function dj(e){var t=e._readableState;Pl(\"endReadable\",t.endEmitted),t.endEmitted||(t.ended=!0,process.nextTick(bAt,t,e))}function bAt(e,t){if(Pl(\"endReadableNT\",e.endEmitted,e.length),!e.endEmitted&&e.length===0&&(e.endEmitted=!0,t.readable=!1,t.emit(\"end\"),e.autoDestroy)){var r=t._writableState;(!r||r.autoDestroy&&r.finished)&&t.destroy()}}typeof Symbol==\"function\"&&(vu.from=function(e,t){return cj===void 0&&(cj=nAe()),cj(vu,e,t)});function dAe(e,t){for(var r=0,n=e.length;r<n;r++)if(e[r]===t)return r;return-1}});var mj=ye((tcr,gAe)=>{\"use strict\";gAe.exports=Hy;var SR=v2().codes,wAt=SR.ERR_METHOD_NOT_IMPLEMENTED,TAt=SR.ERR_MULTIPLE_CALLBACK,AAt=SR.ERR_TRANSFORM_ALREADY_TRANSFORMING,SAt=SR.ERR_TRANSFORM_WITH_LENGTH_0,MR=p2();Uy()(Hy,MR);function MAt(e,t){var r=this._transformState;r.transforming=!1;var n=r.writecb;if(n===null)return this.emit(\"error\",new TAt);r.writechunk=null,r.writecb=null,t!=null&&this.push(t),n(e);var i=this._readableState;i.reading=!1,(i.needReadable||i.length<i.highWaterMark)&&this._read(i.highWaterMark)}function Hy(e){if(!(this instanceof Hy))return new Hy(e);MR.call(this,e),this._transformState={afterTransform:MAt.bind(this),needTransform:!1,transforming:!1,writecb:null,writechunk:null,writeencoding:null},this._readableState.needReadable=!0,this._readableState.sync=!1,e&&(typeof e.transform==\"function\"&&(this._transform=e.transform),typeof 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+       "\n",
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wMe=ye(($u,bMe)=>{$u=bMe.exports=jj.debug=jj.default=jj;$u.coerce=HMt;$u.disable=UMt;$u.enable=NMt;$u.enabled=VMt;$u.humanize=xMe();$u.names=[];$u.skips=[];$u.formatters={};var Gj;function BMt(e){var t=0,r;for(r in e)t=(t<<5)-t+e.charCodeAt(r),t|=0;return $u.colors[Math.abs(t)%$u.colors.length]}function jj(e){function t(){if(t.enabled){var r=t,n=+new Date,i=n-(Gj||n);r.diff=i,r.prev=Gj,r.curr=n,Gj=n;for(var a=new Array(arguments.length),o=0;o<a.length;o++)a[o]=arguments[o];a[0]=$u.coerce(a[0]),typeof a[0]!=\"string\"&&a.unshift(\"%O\");var s=0;a[0]=a[0].replace(/%([a-zA-Z%])/g,function(u,c){if(u===\"%%\")return u;s++;var f=$u.formatters[c];if(typeof f==\"function\"){var h=a[s];u=f.call(r,h),a.splice(s,1),s--}return u}),$u.formatArgs.call(r,a);var l=t.log||$u.log||console.log.bind(console);l.apply(r,a)}}return t.namespace=e,t.enabled=$u.enabled(e),t.useColors=$u.useColors(),t.color=BMt(e),typeof $u.init==\"function\"&&$u.init(t),t}function NMt(e){$u.save(e),$u.names=[],$u.skips=[];for(var t=(typeof e==\"string\"?e:\"\").split(/[\\s,]+/),r=t.length,n=0;n<r;n++)t[n]&&(e=t[n].replace(/\\*/g,\".*?\"),e[0]===\"-\"?$u.skips.push(new RegExp(\"^\"+e.substr(1)+\"$\")):$u.names.push(new RegExp(\"^\"+e+\"$\")))}function UMt(){$u.enable(\"\")}function VMt(e){var t,r;for(t=0,r=$u.skips.length;t<r;t++)if($u.skips[t].test(e))return!1;for(t=0,r=$u.names.length;t<r;t++)if($u.names[t].test(e))return!0;return!1}function HMt(e){return e instanceof Error?e.stack||e.message:e}});var SMe=ye((lp,AMe)=>{lp=AMe.exports=wMe();lp.log=WMt;lp.formatArgs=jMt;lp.save=ZMt;lp.load=TMe;lp.useColors=GMt;lp.storage=typeof chrome!=\"undefined\"&&typeof chrome.storage!=\"undefined\"?chrome.storage.local:XMt();lp.colors=[\"lightseagreen\",\"forestgreen\",\"goldenrod\",\"dodgerblue\",\"darkorchid\",\"crimson\"];function GMt(){return typeof window!=\"undefined\"&&window.process&&window.process.type===\"renderer\"?!0:typeof document!=\"undefined\"&&document.documentElement&&document.documentElement.style&&document.documentElement.style.WebkitAppearance||typeof window!=\"undefined\"&&window.console&&(window.console.firebug||window.console.exception&&window.console.table)||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/firefox\\/(\\d+)/)&&parseInt(RegExp.$1,10)>=31||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/applewebkit\\/(\\d+)/)}lp.formatters.j=function(e){try{return JSON.stringify(e)}catch(t){return\"[UnexpectedJSONParseError]: \"+t.message}};function jMt(e){var t=this.useColors;if(e[0]=(t?\"%c\":\"\")+this.namespace+(t?\" %c\":\" \")+e[0]+(t?\"%c \":\" \")+\"+\"+lp.humanize(this.diff),!!t){var r=\"color: \"+this.color;e.splice(1,0,r,\"color: inherit\");var n=0,i=0;e[0].replace(/%[a-zA-Z%]/g,function(a){a!==\"%%\"&&(n++,a===\"%c\"&&(i=n))}),e.splice(i,0,r)}}function WMt(){return typeof console==\"object\"&&console.log&&Function.prototype.apply.call(console.log,console,arguments)}function ZMt(e){try{e==null?lp.storage.removeItem(\"debug\"):lp.storage.debug=e}catch(t){}}function TMe(){var e;try{e=lp.storage.debug}catch(t){}return!e&&typeof process!=\"undefined\"&&\"env\"in process&&(e=process.env.DEBUG),e}lp.enable(TMe());function XMt(){try{return window.localStorage}catch(e){}}});var RMe=ye((Scr,IMe)=>{var p5=tE(),V_=SMe()(\"stream-parser\");IMe.exports=KMt;var EMe=-1,$R=0,YMt=1,kMe=2;function KMt(e){var t=e&&typeof e._transform==\"function\",r=e&&typeof e._write==\"function\";if(!t&&!r)throw new Error(\"must pass a Writable or Transform stream in\");V_(\"extending Parser into stream\"),e._bytes=JMt,e._skipBytes=$Mt,t&&(e._passthrough=QMt),t?e._transform=t4t:e._write=e4t}function yE(e){V_(\"initializing parser stream\"),e._parserBytesLeft=0,e._parserBuffers=[],e._parserBuffered=0,e._parserState=EMe,e._parserCallback=null,typeof 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t==\"function\"&&(r=t),LMe(this,e,null,r)}function t4t(e,t,r){this._parserInit||yE(this),V_(\"transform(%o bytes)\",e.length),typeof t!=\"function\"&&(t=this._parserOutput),LMe(this,e,t,r)}function CMe(e,t,r,n){return e._parserBytesLeft<=0?n(new Error(\"got data but not currently parsing anything\")):t.length<=e._parserBytesLeft?function(){return MMe(e,t,r,n)}:function(){var i=t.slice(0,e._parserBytesLeft);return MMe(e,i,r,function(a){if(a)return n(a);if(t.length>i.length)return function(){return CMe(e,t.slice(i.length),r,n)}})}}function MMe(e,t,r,n){if(e._parserBytesLeft-=t.length,V_(\"%o bytes left for stream piece\",e._parserBytesLeft),e._parserState===$R?(e._parserBuffers.push(t),e._parserBuffered+=t.length):e._parserState===kMe&&r(t),e._parserBytesLeft===0){var i=e._parserCallback;if(i&&e._parserState===$R&&e._parserBuffers.length>1&&(t=Buffer.concat(e._parserBuffers,e._parserBuffered)),e._parserState!==$R&&(t=null),e._parserCallback=null,e._parserBuffered=0,e._parserState=EMe,e._parserBuffers.splice(0),i){var a=[];t&&a.push(t),r&&a.push(r);var o=i.length>a.length;o&&a.push(PMe(n));var s=i.apply(e,a);if(!o||n===s)return n}}else return n}var LMe=PMe(CMe);function PMe(e){return function(){for(var t=e.apply(this,arguments);typeof t==\"function\";)t=t();return t}}});var Eu=ye(Gy=>{\"use strict\";var DMe=MAe().Transform,r4t=RMe();function _E(){DMe.call(this,{readableObjectMode:!0})}_E.prototype=Object.create(DMe.prototype);_E.prototype.constructor=_E;r4t(_E.prototype);Gy.ParserStream=_E;Gy.sliceEq=function(e,t,r){for(var n=t,i=0;i<r.length;)if(e[n++]!==r[i++])return!1;return!0};Gy.str2arr=function(e,t){var r=[],n=0;if(t&&t===\"hex\")for(;n<e.length;)r.push(parseInt(e.slice(n,n+2),16)),n+=2;else for(;n<e.length;n++)r.push(e.charCodeAt(n)&255);return r};Gy.readUInt16LE=function(e,t){return e[t]|e[t+1]<<8};Gy.readUInt16BE=function(e,t){return e[t+1]|e[t]<<8};Gy.readUInt32LE=function(e,t){return e[t]|e[t+1]<<8|e[t+2]<<16|e[t+3]*16777216};Gy.readUInt32BE=function(e,t){return e[t+3]|e[t+2]<<8|e[t+1]<<16|e[t]*16777216};function QR(e,t,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=new Error().stack||\"\",this.name=this.constructor.name,this.message=e,t&&(this.code=t),r&&(this.statusCode=r)}QR.prototype=Object.create(Error.prototype);QR.prototype.constructor=QR;Gy.ProbeError=QR});var zMe=ye((Ecr,eD)=>{\"use strict\";var g5=Eu().readUInt16BE,Zj=Eu().readUInt32BE;function xE(e,t){if(e.length<4+t)return null;var r=Zj(e,t);return e.length<r+t||r<8?null:{boxtype:String.fromCharCode.apply(null,e.slice(t+4,t+8)),data:e.slice(t+8,t+r),end:t+r}}eD.exports.unbox=xE;function i4t(e,t){for(var r=0;;){var n=xE(e,r);if(!n)break;switch(n.boxtype){case\"ispe\":t.sizes.push({width:Zj(n.data,4),height:Zj(n.data,8)});break;case\"irot\":t.transforms.push({type:\"irot\",value:n.data[0]&3});break;case\"imir\":t.transforms.push({type:\"imir\",value:n.data[0]&1});break}r=n.end}}function Wj(e,t,r){for(var n=0,i=0;i<r;i++)n=n*256+(e[t+i]||0);return n}function n4t(e,t){for(var r=e[4]>>4&15,n=e[4]&15,i=e[5]>>4&15,a=g5(e,6),o=8,s=0;s<a;s++){var l=g5(e,o);o+=2;var u=g5(e,o);o+=2;var c=Wj(e,o,i);o+=i;var f=g5(e,o);if(o+=2,u===0&&f===1){var h=Wj(e,o,r),d=Wj(e,o+r,n);t.item_loc[l]={length:d,offset:h+c}}o+=f*(r+n)}}function a4t(e,t){for(var r=g5(e,4),n=6,i=0;i<r;i++){var a=xE(e,n);if(!a)break;if(a.boxtype===\"infe\"){for(var o=g5(a.data,4),s=\"\",l=8;l<a.data.length&&a.data[l];l++)s+=String.fromCharCode(a.data[l]);t.item_inf[s]=o}n=a.end}}function o4t(e,t){for(var r=0;;){var n=xE(e,r);if(!n)break;n.boxtype===\"ipco\"&&i4t(n.data,t),r=n.end}}function s4t(e,t){for(var r=4;;){var n=xE(e,r);if(!n)break;n.boxtype===\"iprp\"&&o4t(n.data,t),n.boxtype===\"iloc\"&&n4t(n.data,t),n.boxtype===\"iinf\"&&a4t(n.data,t),r=n.end}}function l4t(e){var t=e.reduce(function(i,a){return i.width>a.width||i.width===a.width&&i.height>a.height?i:a}),r=e.reduce(function(i,a){return i.height>a.height||i.height===a.height&&i.width>a.width?i:a}),n;return t.width>r.height||t.width===r.height&&t.height>r.width?n=t:n=r,n}eD.exports.readSizeFromMeta=function(e){var t={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(s4t(e,t),!!t.sizes.length){var r=l4t(t.sizes),n=1;t.transforms.forEach(function(a){var o={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},s={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(a.type===\"imir\"&&(a.value===0?n=s[n]:(n=s[n],n=o[n],n=o[n])),a.type===\"irot\")for(var l=0;l<a.value;l++)n=o[n]});var i=null;return t.item_inf.Exif&&(i=t.item_loc[t.item_inf.Exif]),{width:r.width,height:r.height,orientation:t.transforms.length?n:null,variants:t.sizes,exif_location:i}}};eD.exports.getMimeType=function(e){var t=String.fromCharCode.apply(null,e.slice(0,4)),r={};r[t]=!0;for(var n=8;n<e.length;n+=4)r[String.fromCharCode.apply(null,e.slice(n,n+4))]=!0;if(!(!r.mif1&&!r.msf1&&!r.miaf))return t===\"avif\"||t===\"avis\"||t===\"avio\"?{type:\"avif\",mime:\"image/avif\"}:t===\"heic\"||t===\"heix\"?{type:\"heic\",mime:\"image/heic\"}:t===\"hevc\"||t===\"hevx\"?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}});var rD=ye((kcr,Xj)=>{\"use strict\";function tD(e,t){var r=new Error(e);return r.code=t,r}function u4t(e){try{return decodeURIComponent(escape(e))}catch(t){return e}}function jy(e,t,r){this.input=e.subarray(t,r),this.start=t;var n=String.fromCharCode.apply(null,this.input.subarray(0,4));if(n!==\"II*\\0\"&&n!==\"MM\\0*\")throw tD(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=n[0]===\"M\"}jy.prototype.each=function(e){this.aborted=!1;var t=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:t}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,e)}};jy.prototype.read_uint16=function(e){var t=this.input;if(e+2>t.length)throw tD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*256+t[e+1]:t[e]+t[e+1]*256};jy.prototype.read_uint32=function(e){var t=this.input;if(e+4>t.length)throw tD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*16777216+t[e+1]*65536+t[e+2]*256+t[e+3]:t[e]+t[e+1]*256+t[e+2]*65536+t[e+3]*16777216};jy.prototype.is_subifd_link=function(e,t){return e===0&&t===34665||e===0&&t===34853||e===34665&&t===40965};jy.prototype.exif_format_length=function(e){switch(e){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}};jy.prototype.exif_format_read=function(e,t){var r;switch(e){case 1:case 2:return r=this.input[t],r;case 6:return r=this.input[t],r|(r&128)*33554430;case 3:return r=this.read_uint16(t),r;case 8:return r=this.read_uint16(t),r|(r&32768)*131070;case 4:return r=this.read_uint32(t),r;case 9:return r=this.read_uint32(t),r|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}};jy.prototype.scan_ifd=function(e,t,r){var n=this.read_uint16(t);t+=2;for(var i=0;i<n;i++){var a=this.read_uint16(t),o=this.read_uint16(t+2),s=this.read_uint32(t+4),l=this.exif_format_length(o),u=s*l,c=u<=4?t+8:this.read_uint32(t+8),f=!1;if(c+u>this.input.length)throw tD(\"unexpected EOF\",\"EBADDATA\");for(var h=[],d=c,v=0;v<s;v++,d+=l){var x=this.exif_format_read(o,d);if(x===null){h=null;break}h.push(x)}Array.isArray(h)&&o===2&&(h=u4t(String.fromCharCode.apply(null,h)),h&&h[h.length-1]===\"\\0\"&&(h=h.slice(0,-1))),this.is_subifd_link(e,a)&&Array.isArray(h)&&Number.isInteger(h[0])&&h[0]>0&&(this.ifds_to_read.push({id:a,offset:h[0]}),f=!0);var b={is_big_endian:this.big_endian,ifd:e,tag:a,format:o,count:s,entry_offset:t+this.start,data_length:u,data_offset:c+this.start,value:h,is_subifd_link:f};if(r(b)===!1){this.aborted=!0;return}t+=12}e===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(t)})};Xj.exports.ExifParser=jy;Xj.exports.get_orientation=function(e){var t=0;try{return new jy(e,0,e.length).each(function(r){if(r.ifd===0&&r.tag===274&&Array.isArray(r.value))return t=r.value[0],!1}),t}catch(r){return-1}}});var qMe=ye((Ccr,FMe)=>{\"use strict\";var c4t=Eu().str2arr,f4t=Eu().sliceEq,h4t=Eu().readUInt32BE,iD=zMe(),d4t=rD(),v4t=c4t(\"ftyp\");FMe.exports=function(e){if(f4t(e,4,v4t)){var t=iD.unbox(e,0);if(t){var 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HMe=Eu().str2arr,UMe=Eu().sliceEq,VMe=Eu().readUInt16LE,y4t=HMe(\"GIF87a\"),_4t=HMe(\"GIF89a\");GMe.exports=function(e){if(!(e.length<10)&&!(!UMe(e,0,y4t)&&!UMe(e,0,_4t)))return{width:VMe(e,6),height:VMe(e,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}});var XMe=ye((Icr,ZMe)=>{\"use strict\";var Yj=Eu().readUInt16LE,x4t=0,b4t=1,WMe=16;ZMe.exports=function(e){var t=Yj(e,0),r=Yj(e,2),n=Yj(e,4);if(!(t!==x4t||r!==b4t||!n)){for(var i=[],a={width:0,height:0},o=0;o<n;o++){var s=e[6+WMe*o]||256,l=e[6+WMe*o+1]||256,u={width:s,height:l};i.push(u),(s>a.width||l>a.height)&&(a=u)}return{width:a.width,height:a.height,variants:i,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}});var KMe=ye((Rcr,YMe)=>{\"use strict\";var Kj=Eu().readUInt16BE,w4t=Eu().str2arr,T4t=Eu().sliceEq,A4t=rD(),S4t=w4t(\"Exif\\0\\0\");YMe.exports=function(e){if(!(e.length<2)&&!(e[0]!==255||e[1]!==216||e[2]!==255))for(var t=2;;){for(;;){if(e.length-t<2)return;if(e[t++]===255)break}for(var 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pEt=vl(),gEt=Ju().attributes,mEt=Su(),yEt=dh(),_Et=Wo().hovertemplateAttrs,xEt=Wo().texttemplateAttrs,bE=no().extendFlat,bEt=Ed().pattern,sD=mEt({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});U4e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:yEt.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:bEt,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:bE({},pEt.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:_Et({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:xEt({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:bE({},sD,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:bE({},sD,{}),outsidetextfont:bE({},sD,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:bE({},sD,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:gEt({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"}}});var S2=ye((Kcr,G4e)=>{\"use strict\";var wEt=uo(),wE=Mr(),TEt=A2(),AEt=Ju().defaults,SEt=r0().handleText,MEt=Mr().coercePattern;function V4e(e,t){var r=wE.isArrayOrTypedArray(e),n=wE.isArrayOrTypedArray(t),i=Math.min(r?e.length:1/0,n?t.length:1/0);if(isFinite(i)||(i=0),i&&n){for(var a,o=0;o<i;o++){var s=t[o];if(wEt(s)&&s>0){a=!0;break}}a||(i=0)}return{hasLabels:r,hasValues:n,len:i}}function H4e(e,t,r,n,i){var a=n(\"marker.line.width\");a&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var o=n(\"marker.colors\");MEt(n,\"marker.pattern\",o),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=r.paper_bgcolor)}function EEt(e,t,r,n){function i(E,k){return wE.coerce(e,t,TEt,E,k)}var a=i(\"labels\"),o=i(\"values\"),s=V4e(a,o),l=s.len;if(t._hasLabels=s.hasLabels,t._hasValues=s.hasValues,!t._hasLabels&&t._hasValues&&(i(\"label0\"),i(\"dlabel\")),!l){t.visible=!1;return}t._length=l,H4e(e,t,n,i,!0),i(\"scalegroup\");var u=i(\"text\"),c=i(\"texttemplate\"),f;if(c||(f=i(\"textinfo\",wE.isArrayOrTypedArray(u)?\"text+percent\":\"percent\")),i(\"hovertext\"),i(\"hovertemplate\"),c||f&&f!==\"none\"){var h=i(\"textposition\");SEt(e,t,n,i,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1});var d=Array.isArray(h)||h===\"auto\",v=d||h===\"outside\";v&&i(\"automargin\"),(h===\"inside\"||h===\"auto\"||Array.isArray(h))&&i(\"insidetextorientation\")}else f===\"none\"&&i(\"textposition\",\"none\");AEt(t,n,i);var x=i(\"hole\"),b=i(\"title.text\");if(b){var g=i(\"title.position\",x?\"middle center\":\"top center\");!x&&g===\"middle center\"&&(t.title.position=\"top center\"),wE.coerceFont(i,\"title.font\",n.font)}i(\"sort\"),i(\"direction\"),i(\"rotation\"),i(\"pull\")}G4e.exports={handleLabelsAndValues:V4e,handleMarkerDefaults:H4e,supplyDefaults:EEt}});var lD=ye((Jcr,j4e)=>{\"use strict\";j4e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var Z4e=ye(($cr,W4e)=>{\"use strict\";var kEt=Mr(),CEt=lD();W4e.exports=function(t,r){function n(i,a){return kEt.coerce(t,r,CEt,i,a)}n(\"hiddenlabels\"),n(\"piecolorway\",r.colorway),n(\"extendpiecolors\")}});var y5=ye((Qcr,K4e)=>{\"use strict\";var LEt=uo(),tW=id(),PEt=va(),IEt={};function REt(e,t){var r=[],n=e._fullLayout,i=n.hiddenlabels||[],a=t.labels,o=t.marker.colors||[],s=t.values,l=t._length,u=t._hasValues&&l,c,f;if(t.dlabel)for(a=new Array(l),c=0;c<l;c++)a[c]=String(t.label0+c*t.dlabel);var h={},d=X4e(n[\"_\"+t.type+\"colormap\"]),v=0,x=!1;for(c=0;c<l;c++){var b,g,E;if(u){if(b=s[c],!LEt(b))continue;b=+b}else b=1;g=a[c],(g===void 0||g===\"\")&&(g=c),g=String(g);var k=h[g];k===void 0?(h[g]=r.length,E=i.indexOf(g)!==-1,E||(v+=b),r.push({v:b,label:g,color:d(o[c],g),i:c,pts:[c],hidden:E})):(x=!0,f=r[k],f.v+=b,f.pts.push(c),f.hidden||(v+=b),f.color===!1&&o[c]&&(f.color=d(o[c],g)))}r=r.filter(function(L){return L.v>=0});var A=t.type===\"funnelarea\"?x:t.sort;return A&&r.sort(function(L,_){return _.v-L.v}),r[0]&&(r[0].vTotal=v),r}function X4e(e){return function(r,n){return!r||(r=tW(r),!r.isValid())?!1:(r=PEt.addOpacity(r,r.getAlpha()),e[n]||(e[n]=r),r)}}function DEt(e,t){var r=(t||{}).type;r||(r=\"pie\");var n=e._fullLayout,i=e.calcdata,a=n[r+\"colorway\"],o=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=Y4e(a,IEt));for(var s=0,l=0;l<i.length;l++){var u=i[l],c=u[0].trace.type;if(c===r)for(var f=0;f<u.length;f++){var h=u[f];h.color===!1&&(o[h.label]?h.color=o[h.label]:(o[h.label]=h.color=a[s%a.length],s++))}}}function Y4e(e,t){var r,n=JSON.stringify(e),i=t[n];if(!i){for(i=e.slice(),r=0;r<e.length;r++)i.push(tW(e[r]).lighten(20).toHexString());for(r=0;r<e.length;r++)i.push(tW(e[r]).darken(20).toHexString());t[n]=i}return i}K4e.exports={calc:REt,crossTraceCalc:DEt,makePullColorFn:X4e,generateExtendedColors:Y4e}});var $4e=ye((efr,J4e)=>{\"use strict\";var zEt=rp().appendArrayMultiPointValues;J4e.exports=function(t,r){var n={curveNumber:r.index,pointNumbers:t.pts,data:r._input,fullData:r,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return t.pts.length===1&&(n.pointNumber=n.i=t.pts[0]),zEt(n,r,t.pts),r.type===\"funnelarea\"&&(delete n.v,delete n.i),n}});var hD=ye((tfr,_Ee)=>{\"use strict\";var zp=xa(),FEt=Xu(),uD=Nc(),nEe=va(),Wy=ao(),ev=Mr(),qEt=ev.strScale,Q4e=ev.strTranslate,rW=Ll(),aEe=_v(),OEt=aEe.recordMinTextSize,BEt=aEe.clearMinTextSize,oEe=Qb().TEXTPAD,Zo=l_(),cD=$4e(),eEe=Mr().isValidTextValue;function NEt(e,t){var r=e._context.staticPlot,n=e._fullLayout,i=n._size;BEt(\"pie\",n),uEe(t,e),gEe(t,i);var a=ev.makeTraceGroups(n._pielayer,t,\"trace\").each(function(o){var s=zp.select(this),l=o[0],u=l.trace;YEt(o),s.attr(\"stroke-linejoin\",\"round\"),s.each(function(){var c=zp.select(this).selectAll(\"g.slice\").data(o);c.enter().append(\"g\").classed(\"slice\",!0),c.exit().remove();var f=[[[],[]],[[],[]]],h=!1;c.each(function(A,L){if(A.hidden){zp.select(this).selectAll(\"path,g\").remove();return}A.pointNumber=A.i,A.curveNumber=u.index,f[A.pxmid[1]<0?0:1][A.pxmid[0]<0?0:1].push(A);var _=l.cx,C=l.cy,M=zp.select(this),p=M.selectAll(\"path.surface\").data([A]);if(p.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),M.call(sEe,e,o),u.pull){var P=+Zo.castOption(u.pull,A.pts)||0;P>0&&(_+=P*A.pxmid[0],C+=P*A.pxmid[1])}A.cxFinal=_,A.cyFinal=C;function T(N,W,re,ae){var _e=ae*(W[0]-N[0]),Me=ae*(W[1]-N[1]);return\"a\"+ae*l.r+\",\"+ae*l.r+\" 0 \"+A.largeArc+(re?\" 1 \":\" 0 \")+_e+\",\"+Me}var F=u.hole;if(A.v===l.vTotal){var q=\"M\"+(_+A.px0[0])+\",\"+(C+A.px0[1])+T(A.px0,A.pxmid,!0,1)+T(A.pxmid,A.px0,!0,1)+\"Z\";F?p.attr(\"d\",\"M\"+(_+F*A.px0[0])+\",\"+(C+F*A.px0[1])+T(A.px0,A.pxmid,!1,F)+T(A.pxmid,A.px0,!1,F)+\"Z\"+q):p.attr(\"d\",q)}else{var V=T(A.px0,A.px1,!0,1);if(F){var H=1-F;p.attr(\"d\",\"M\"+(_+F*A.px1[0])+\",\"+(C+F*A.px1[1])+T(A.px1,A.px0,!1,F)+\"l\"+H*A.px0[0]+\",\"+H*A.px0[1]+V+\"Z\")}else p.attr(\"d\",\"M\"+_+\",\"+C+\"l\"+A.px0[0]+\",\"+A.px0[1]+V+\"Z\")}mEe(e,A,l);var X=Zo.castOption(u.textposition,A.pts),G=M.selectAll(\"g.slicetext\").data(A.text&&X!==\"none\"?[0]:[]);G.enter().append(\"g\").classed(\"slicetext\",!0),G.exit().remove(),G.each(function(){var N=ev.ensureSingle(zp.select(this),\"text\",\"\",function(ie){ie.attr(\"data-notex\",1)}),W=ev.ensureUniformFontSize(e,X===\"outside\"?VEt(u,A,n.font):lEe(u,A,n.font));N.text(A.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(Wy.font,W).call(rW.convertToTspans,e);var re=Wy.bBox(N.node()),ae;if(X===\"outside\")ae=iEe(re,A);else if(ae=cEe(re,A,l),X===\"auto\"&&ae.scale<1){var _e=ev.ensureUniformFontSize(e,u.outsidetextfont);N.call(Wy.font,_e),re=Wy.bBox(N.node()),ae=iEe(re,A)}var Me=ae.textPosAngle,ke=Me===void 0?A.pxmid:fD(l.r,Me);if(ae.targetX=_+ke[0]*ae.rCenter+(ae.x||0),ae.targetY=C+ke[1]*ae.rCenter+(ae.y||0),yEe(ae,re),ae.outside){var ge=ae.targetY;A.yLabelMin=ge-re.height/2,A.yLabelMid=ge,A.yLabelMax=ge+re.height/2,A.labelExtraX=0,A.labelExtraY=0,h=!0}ae.fontSize=W.size,OEt(u.type,ae,n),o[L].transform=ae,ev.setTransormAndDisplay(N,ae)})});var d=zp.select(this).selectAll(\"g.titletext\").data(u.title.text?[0]:[]);if(d.enter().append(\"g\").classed(\"titletext\",!0),d.exit().remove(),d.each(function(){var A=ev.ensureSingle(zp.select(this),\"text\",\"\",function(C){C.attr(\"data-notex\",1)}),L=u.title.text;u._meta&&(L=ev.templateString(L,u._meta)),A.text(L).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(Wy.font,u.title.font).call(rW.convertToTspans,e);var _;u.title.position===\"middle center\"?_=jEt(l):_=vEe(l,i),A.attr(\"transform\",Q4e(_.x,_.y)+qEt(Math.min(1,_.scale))+Q4e(_.tx,_.ty))}),h&&ZEt(f,u),UEt(c,u),h&&u.automargin){var v=Wy.bBox(s.node()),x=u.domain,b=i.w*(x.x[1]-x.x[0]),g=i.h*(x.y[1]-x.y[0]),E=(.5*b-l.r)/i.w,k=(.5*g-l.r)/i.h;FEt.autoMargin(e,\"pie.\"+u.uid+\".automargin\",{xl:x.x[0]-E,xr:x.x[1]+E,yb:x.y[0]-k,yt:x.y[1]+k,l:Math.max(l.cx-l.r-v.left,0),r:Math.max(v.right-(l.cx+l.r),0),b:Math.max(v.bottom-(l.cy+l.r),0),t:Math.max(l.cy-l.r-v.top,0),pad:5})}})});setTimeout(function(){a.selectAll(\"tspan\").each(function(){var o=zp.select(this);o.attr(\"dy\")&&o.attr(\"dy\",o.attr(\"dy\"))})},0)}function UEt(e,t){e.each(function(r){var n=zp.select(this);if(!r.labelExtraX&&!r.labelExtraY){n.select(\"path.textline\").remove();return}var i=n.select(\"g.slicetext text\");r.transform.targetX+=r.labelExtraX,r.transform.targetY+=r.labelExtraY,ev.setTransormAndDisplay(i,r.transform);var a=r.cxFinal+r.pxmid[0],o=r.cyFinal+r.pxmid[1],s=\"M\"+a+\",\"+o,l=(r.yLabelMax-r.yLabelMin)*(r.pxmid[0]<0?-1:1)/4;if(r.labelExtraX){var u=r.labelExtraX*r.pxmid[1]/r.pxmid[0],c=r.yLabelMid+r.labelExtraY-(r.cyFinal+r.pxmid[1]);Math.abs(u)>Math.abs(c)?s+=\"l\"+c*r.pxmid[0]/r.pxmid[1]+\",\"+c+\"H\"+(a+r.labelExtraX+l):s+=\"l\"+r.labelExtraX+\",\"+u+\"v\"+(c-u)+\"h\"+l}else s+=\"V\"+(r.yLabelMid+r.labelExtraY)+\"h\"+l;ev.ensureSingle(n,\"path\",\"textline\").call(nEe.stroke,t.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,t.outsidetextfont.size/8),d:s,fill:\"none\"})})}function sEe(e,t,r){var n=r[0],i=n.cx,a=n.cy,o=n.trace,s=o.type===\"funnelarea\";\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),e.on(\"mouseover\",function(l){var u=t._fullLayout,c=t._fullData[o.index];if(!(t._dragging||u.hovermode===!1)){var f=c.hoverinfo;if(Array.isArray(f)&&(f=uD.castHoverinfo({hoverinfo:[Zo.castOption(f,l.pts)],_module:o._module},u,0)),f===\"all\"&&(f=\"label+text+value+percent+name\"),c.hovertemplate||f!==\"none\"&&f!==\"skip\"&&f){var h=l.rInscribed||0,d=i+l.pxmid[0]*(1-h),v=a+l.pxmid[1]*(1-h),x=u.separators,b=[];if(f&&f.indexOf(\"label\")!==-1&&b.push(l.label),l.text=Zo.castOption(c.hovertext||c.text,l.pts),f&&f.indexOf(\"text\")!==-1){var g=l.text;ev.isValidTextValue(g)&&b.push(g)}l.value=l.v,l.valueLabel=Zo.formatPieValue(l.v,x),f&&f.indexOf(\"value\")!==-1&&b.push(l.valueLabel),l.percent=l.v/n.vTotal,l.percentLabel=Zo.formatPiePercent(l.percent,x),f&&f.indexOf(\"percent\")!==-1&&b.push(l.percentLabel);var E=c.hoverlabel,k=E.font,A=[];uD.loneHover({trace:o,x0:d-h*n.r,x1:d+h*n.r,y:v,_x0:s?i+l.TL[0]:d-h*n.r,_x1:s?i+l.TR[0]:d+h*n.r,_y0:s?a+l.TL[1]:v-h*n.r,_y1:s?a+l.BL[1]:v+h*n.r,text:b.join(\"<br>\"),name:c.hovertemplate||f.indexOf(\"name\")!==-1?c.name:void 0,idealAlign:l.pxmid[0]<0?\"left\":\"right\",color:Zo.castOption(E.bgcolor,l.pts)||l.color,borderColor:Zo.castOption(E.bordercolor,l.pts),fontFamily:Zo.castOption(k.family,l.pts),fontSize:Zo.castOption(k.size,l.pts),fontColor:Zo.castOption(k.color,l.pts),nameLength:Zo.castOption(E.namelength,l.pts),textAlign:Zo.castOption(E.align,l.pts),hovertemplate:Zo.castOption(c.hovertemplate,l.pts),hovertemplateLabels:l,eventData:[cD(l,c)]},{container:u._hoverlayer.node(),outerContainer:u._paper.node(),gd:t,inOut_bbox:A}),l.bbox=A[0],o._hasHoverLabel=!0}o._hasHoverEvent=!0,t.emit(\"plotly_hover\",{points:[cD(l,c)],event:zp.event})}}),e.on(\"mouseout\",function(l){var u=t._fullLayout,c=t._fullData[o.index],f=zp.select(this).datum();o._hasHoverEvent&&(l.originalEvent=zp.event,t.emit(\"plotly_unhover\",{points:[cD(f,c)],event:zp.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(uD.loneUnhover(u._hoverlayer.node()),o._hasHoverLabel=!1)}),e.on(\"click\",function(l){var u=t._fullLayout,c=t._fullData[o.index];t._dragging||u.hovermode===!1||(t._hoverdata=[cD(l,c)],uD.click(t,zp.event))})}function VEt(e,t,r){var n=Zo.castOption(e.outsidetextfont.color,t.pts)||Zo.castOption(e.textfont.color,t.pts)||r.color,i=Zo.castOption(e.outsidetextfont.family,t.pts)||Zo.castOption(e.textfont.family,t.pts)||r.family,a=Zo.castOption(e.outsidetextfont.size,t.pts)||Zo.castOption(e.textfont.size,t.pts)||r.size,o=Zo.castOption(e.outsidetextfont.weight,t.pts)||Zo.castOption(e.textfont.weight,t.pts)||r.weight,s=Zo.castOption(e.outsidetextfont.style,t.pts)||Zo.castOption(e.textfont.style,t.pts)||r.style,l=Zo.castOption(e.outsidetextfont.variant,t.pts)||Zo.castOption(e.textfont.variant,t.pts)||r.variant,u=Zo.castOption(e.outsidetextfont.textcase,t.pts)||Zo.castOption(e.textfont.textcase,t.pts)||r.textcase,c=Zo.castOption(e.outsidetextfont.lineposition,t.pts)||Zo.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=Zo.castOption(e.outsidetextfont.shadow,t.pts)||Zo.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n,family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function lEe(e,t,r){var n=Zo.castOption(e.insidetextfont.color,t.pts);!n&&e._input.textfont&&(n=Zo.castOption(e._input.textfont.color,t.pts));var 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ie=BE.select(this),Te=bv.ensureSingle(ie,\"path\",\"surface\",function(Re){Re.style(\"pointer-events\",i?\"none\":\"all\")});ge.rpx0=q(ge.y0),ge.rpx1=q(ge.y1),ge.xmid=(ge.x0+ge.x1)/2,ge.pxmid=V(ge.rpx1,ge.xmid),ge.midangle=-(ge.xmid-Math.PI/2),ge.startangle=-(ge.x0-Math.PI/2),ge.stopangle=-(ge.x1-Math.PI/2),ge.halfangle=.5*Math.min(bv.angleDelta(ge.x0,ge.x1)||Math.PI,Math.PI),ge.ring=1-ge.rpx0/ge.rpx1,ge.rInscribed=uCt(ge,c),o?Te.transition().attrTween(\"d\",function(Re){var ce=_e(Re);return function(Ge){return H(ce(Ge))}}):Te.attr(\"d\",H),ie.call(sCt,h,e,t,{eventDataKeys:CW.eventDataKeys,transitionTime:CW.CLICK_TRANSITION_TIME,transitionEasing:CW.CLICK_TRANSITION_EASING}).call(sl.setSliceCursor,e,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:e._transitioning}),Te.call(aCt,ge,c,e);var Ee=bv.ensureSingle(ie,\"g\",\"slicetext\"),Ae=bv.ensureSingle(Ee,\"text\",\"\",function(Re){Re.attr(\"data-notex\",1)}),ze=bv.ensureUniformFontSize(e,sl.determineTextFont(c,ge,a.font));Ae.text(DD.formatSliceLabel(ge,h,c,t,a)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(uCe.font,ze).call(eCt.convertToTspans,e);var Ce=uCe.bBox(Ae.node());ge.transform=nCt(Ce,ge,u),ge.transform.targetX=X(ge),ge.transform.targetY=G(ge);var me=function(Re,ce){var Ge=Re.transform;return iCt(Ge,ce),Ge.fontSize=ze.size,cCe(c.type,Ge,a),bv.getTextTransform(Ge)};o?Ae.transition().attrTween(\"transform\",function(Re){var ce=Me(Re);return function(Ge){return me(ce(Ge),Ce)}}):Ae.attr(\"transform\",me(ge,Ce))});function ae(ge){var ie=sl.getPtId(ge),Te=_[ie],Ee=_[sl.getPtId(h)],Ae;if(Ee){var ze=(ge.x1>Ee.x1?2*Math.PI:0)+T;Ae=ge.rpx1<Ee.rpx1?{x0:ge.x0,x1:ge.x1,rpx0:0,rpx1:0}:{x0:ze,x1:ze,rpx0:ge.rpx0,rpx1:ge.rpx1}}else{var Ce,me=sl.getPtId(ge.parent);l.each(function(ct){if(sl.getPtId(ct)===me)return 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fCt=Wo().hovertemplateAttrs,hCt=Wo().texttemplateAttrs,dCt=Kl(),vCt=Ju().attributes,F2=A2(),Q0=AE(),wCe=z2(),LW=no().extendFlat,pCt=Ed().pattern;TCe.exports={labels:Q0.labels,parents:Q0.parents,values:Q0.values,branchvalues:Q0.branchvalues,count:Q0.count,level:Q0.level,maxdepth:Q0.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:LW({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:Q0.marker.colors,pattern:pCt,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:Q0.marker.line,cornerradius:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},dCt(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:LW({},F2.textfont,{}),editType:\"calc\"},text:F2.text,textinfo:Q0.textinfo,texttemplate:hCt({editType:\"plot\"},{keys:wCe.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:F2.hovertext,hoverinfo:Q0.hoverinfo,hovertemplate:fCt({},{keys:wCe.eventDataKeys}),textfont:F2.textfont,insidetextfont:F2.insidetextfont,outsidetextfont:LW({},F2.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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u=a(\"tiling.packing\");u===\"squarify\"&&a(\"tiling.squarifyratio\"),a(\"tiling.flip\"),a(\"tiling.pad\");var c=a(\"text\");a(\"texttemplate\"),r.texttemplate||a(\"textinfo\",SCe.isArrayOrTypedArray(c)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\");var f=a(\"pathbar.visible\"),h=\"auto\";_Ct(t,r,i,a,h,{hasPathbar:f,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),a(\"textposition\");var d=r.textposition.indexOf(\"bottom\")!==-1;bCt(t,r,i,a);var v=r._hasColorscale=wCt(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;v?TCt(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}):a(\"marker.depthfade\",!(r.marker.colors||[]).length);var x=r.textfont.size*2;a(\"marker.pad.t\",d?x/4:x),a(\"marker.pad.l\",x/4),a(\"marker.pad.r\",x/4),a(\"marker.pad.b\",d?x:x/4),a(\"marker.cornerradius\"),r._hovered={marker:{line:{width:2,color:mCt.contrast(i.paper_bgcolor)}}},f&&(a(\"pathbar.thickness\",r.pathbar.textfont.size+2*xCt),a(\"pathbar.side\"),a(\"pathbar.edgeshape\")),a(\"sort\"),a(\"root.color\"),yCt(r,i,a),r._length=null}});var LCe=ye((ddr,CCe)=>{\"use strict\";var ACt=Mr(),SCt=PW();CCe.exports=function(t,r){function n(i,a){return ACt.coerce(t,r,SCt,i,a)}n(\"treemapcolorway\",r.colorway),n(\"extendtreemapcolors\")}});var RW=ye(IW=>{\"use strict\";var PCe=EE();IW.calc=function(e,t){return PCe.calc(e,t)};IW.crossTraceCalc=function(e){return PCe._runCrossTraceCalc(\"treemap\",e)}});var DW=ye((pdr,ICe)=>{\"use strict\";ICe.exports=function e(t,r,n){var i;n.swapXY&&(i=t.x0,t.x0=t.y0,t.y0=i,i=t.x1,t.x1=t.y1,t.y1=i),n.flipX&&(i=t.x0,t.x0=r[0]-t.x1,t.x1=r[0]-i),n.flipY&&(i=t.y0,t.y0=r[1]-t.y1,t.y1=r[1]-i);var a=t.children;if(a)for(var o=0;o<a.length;o++)e(a[o],r,n)}});var zW=ye((gdr,RCe)=>{\"use strict\";var P5=SE(),MCt=DW();RCe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.packing===\"dice-slice\",s=n.pad[a?\"bottom\":\"top\"],l=n.pad[i?\"right\":\"left\"],u=n.pad[i?\"left\":\"right\"],c=n.pad[a?\"top\":\"bottom\"],f;o&&(f=l,l=s,s=f,f=u,u=c,c=f);var h=P5.treemap().tile(ECt(n.packing,n.squarifyratio)).paddingInner(n.pad.inner).paddingLeft(l).paddingRight(u).paddingTop(s).paddingBottom(c).size(o?[r[1],r[0]]:r)(t);return(o||i||a)&&MCt(h,r,{swapXY:o,flipX:i,flipY:a}),h};function ECt(e,t){switch(e){case\"squarify\":return P5.treemapSquarify.ratio(t);case\"binary\":return P5.treemapBinary;case\"dice\":return P5.treemapDice;case\"slice\":return P5.treemapSlice;default:return P5.treemapSliceDice}}});var qD=ye((mdr,qCe)=>{\"use strict\";var DCe=xa(),I5=va(),zCe=Mr(),FW=Ky(),kCt=_v().resizeText,CCt=RD();function LCt(e){var t=e._fullLayout._treemaplayer.selectAll(\".trace\");kCt(e,t,\"treemap\"),t.each(function(r){var n=DCe.select(this),i=r[0],a=i.trace;n.style(\"opacity\",a.opacity),n.selectAll(\"path.surface\").each(function(o){DCe.select(this).call(FCe,o,a,e,{hovered:!1})})})}function FCe(e,t,r,n,i){var a=(i||{}).hovered,o=t.data.data,s=o.i,l,u,c=o.color,f=FW.isHierarchyRoot(t),h=1;if(a)l=r._hovered.marker.line.color,u=r._hovered.marker.line.width;else if(f&&c===r.root.color)h=100,l=\"rgba(0,0,0,0)\",u=0;else if(l=zCe.castOption(r,s,\"marker.line.color\")||I5.defaultLine,u=zCe.castOption(r,s,\"marker.line.width\")||0,!r._hasColorscale&&!t.onPathbar){var d=r.marker.depthfade;if(d){var v=I5.combine(I5.addOpacity(r._backgroundColor,.75),c),x;if(d===!0){var b=FW.getMaxDepth(r);isFinite(b)?FW.isLeaf(t)?x=0:x=r._maxVisibleLayers-(t.data.depth-r._entryDepth):x=t.data.height+1}else x=t.data.depth-r._entryDepth,r._atRootLevel||x++;if(x>0)for(var g=0;g<x;g++){var 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ie(this,xe,Se,lt,!0)},T.prototype.lastIndexOf=function(xe,Se,lt){return ie(this,xe,Se,lt,!1)};function Ee(Le,xe,Se,lt){Se=Number(Se)||0;var Gt=Le.length-Se;lt?(lt=Number(lt),lt>Gt&&(lt=Gt)):lt=Gt;var Vt=xe.length;lt>Vt/2&&(lt=Vt/2);var ar;for(ar=0;ar<lt;++ar){var Qr=parseInt(xe.substr(ar*2,2),16);if(Ye(Qr))return ar;Le[Se+ar]=Qr}return ar}function Ae(Le,xe,Se,lt){return ut(_r(xe,Le.length-Se),Le,Se,lt)}function ze(Le,xe,Se,lt){return ut(Br(xe),Le,Se,lt)}function Ce(Le,xe,Se,lt){return ut(Nr(xe),Le,Se,lt)}function me(Le,xe,Se,lt){return ut(Or(xe,Le.length-Se),Le,Se,lt)}T.prototype.write=function(xe,Se,lt,Gt){if(Se===void 0)Gt=\"utf8\",lt=this.length,Se=0;else if(lt===void 0&&typeof Se==\"string\")Gt=Se,lt=this.length,Se=0;else if(isFinite(Se))Se=Se>>>0,isFinite(lt)?(lt=lt>>>0,Gt===void 0&&(Gt=\"utf8\")):(Gt=lt,lt=void 0);else throw new Error(\"Buffer.write(string, encoding, offset[, length]) is no longer supported\");var Vt=this.length-Se;if((lt===void 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lt=Le.length;(!xe||xe<0)&&(xe=0),(!Se||Se<0||Se>lt)&&(Se=lt);for(var Gt=\"\",Vt=xe;Vt<Se;++Vt)Gt+=Ve[Le[Vt]];return Gt}function ot(Le,xe,Se){for(var lt=Le.slice(xe,Se),Gt=\"\",Vt=0;Vt<lt.length-1;Vt+=2)Gt+=String.fromCharCode(lt[Vt]+lt[Vt+1]*256);return Gt}T.prototype.slice=function(xe,Se){var lt=this.length;xe=~~xe,Se=Se===void 0?lt:~~Se,xe<0?(xe+=lt,xe<0&&(xe=0)):xe>lt&&(xe=lt),Se<0?(Se+=lt,Se<0&&(Se=0)):Se>lt&&(Se=lt),Se<xe&&(Se=xe);var Gt=this.subarray(xe,Se);return Object.setPrototypeOf(Gt,T.prototype),Gt};function Rt(Le,xe,Se){if(Le%1!==0||Le<0)throw new RangeError(\"offset is not uint\");if(Le+xe>Se)throw new RangeError(\"Trying to access beyond buffer length\")}T.prototype.readUintLE=T.prototype.readUIntLE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe],Vt=1,ar=0;++ar<Se&&(Vt*=256);)Gt+=this[xe+ar]*Vt;return Gt},T.prototype.readUintBE=T.prototype.readUIntBE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe+--Se],Vt=1;Se>0&&(Vt*=256);)Gt+=this[xe+--Se]*Vt;return Gt},T.prototype.readUint8=T.prototype.readUInt8=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,1,this.length),this[xe]},T.prototype.readUint16LE=T.prototype.readUInt16LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,2,this.length),this[xe]|this[xe+1]<<8},T.prototype.readUint16BE=T.prototype.readUInt16BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,2,this.length),this[xe]<<8|this[xe+1]},T.prototype.readUint32LE=T.prototype.readUInt32LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),(this[xe]|this[xe+1]<<8|this[xe+2]<<16)+this[xe+3]*16777216},T.prototype.readUint32BE=T.prototype.readUInt32BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]*16777216+(this[xe+1]<<16|this[xe+2]<<8|this[xe+3])},T.prototype.readBigUInt64LE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=Se+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24),Vt=this[++xe]+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+lt*Math.pow(2,24);return BigInt(Gt)+(BigInt(Vt)<<BigInt(32))}),T.prototype.readBigUInt64BE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=Se*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe],Vt=this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+lt;return(BigInt(Gt)<<BigInt(32))+BigInt(Vt)}),T.prototype.readIntLE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe],Vt=1,ar=0;++ar<Se&&(Vt*=256);)Gt+=this[xe+ar]*Vt;return Vt*=128,Gt>=Vt&&(Gt-=Math.pow(2,8*Se)),Gt},T.prototype.readIntBE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=Se,Vt=1,ar=this[xe+--Gt];Gt>0&&(Vt*=256);)ar+=this[xe+--Gt]*Vt;return Vt*=128,ar>=Vt&&(ar-=Math.pow(2,8*Se)),ar},T.prototype.readInt8=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,1,this.length),this[xe]&128?(255-this[xe]+1)*-1:this[xe]},T.prototype.readInt16LE=function(xe,Se){xe=xe>>>0,Se||Rt(xe,2,this.length);var lt=this[xe]|this[xe+1]<<8;return lt&32768?lt|4294901760:lt},T.prototype.readInt16BE=function(xe,Se){xe=xe>>>0,Se||Rt(xe,2,this.length);var lt=this[xe+1]|this[xe]<<8;return lt&32768?lt|4294901760:lt},T.prototype.readInt32LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]|this[xe+1]<<8|this[xe+2]<<16|this[xe+3]<<24},T.prototype.readInt32BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]<<24|this[xe+1]<<16|this[xe+2]<<8|this[xe+3]},T.prototype.readBigInt64LE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=this[xe+4]+this[xe+5]*Math.pow(2,8)+this[xe+6]*Math.pow(2,16)+(lt<<24);return(BigInt(Gt)<<BigInt(32))+BigInt(Se+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24))}),T.prototype.readBigInt64BE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=(Se<<24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe];return(BigInt(Gt)<<BigInt(32))+BigInt(this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+lt)}),T.prototype.readFloatLE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),_.read(this,xe,!0,23,4)},T.prototype.readFloatBE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),_.read(this,xe,!1,23,4)},T.prototype.readDoubleLE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,8,this.length),_.read(this,xe,!0,52,8)},T.prototype.readDoubleBE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,8,this.length),_.read(this,xe,!1,52,8)};function kt(Le,xe,Se,lt,Gt,Vt){if(!T.isBuffer(Le))throw new TypeError('\"buffer\" argument must be a Buffer instance');if(xe>Gt||xe<Vt)throw new RangeError('\"value\" argument is out of bounds');if(Se+lt>Le.length)throw new RangeError(\"Index out of range\")}T.prototype.writeUintLE=T.prototype.writeUIntLE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,lt=lt>>>0,!Gt){var Vt=Math.pow(2,8*lt)-1;kt(this,xe,Se,lt,Vt,0)}var ar=1,Qr=0;for(this[Se]=xe&255;++Qr<lt&&(ar*=256);)this[Se+Qr]=xe/ar&255;return Se+lt},T.prototype.writeUintBE=T.prototype.writeUIntBE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,lt=lt>>>0,!Gt){var Vt=Math.pow(2,8*lt)-1;kt(this,xe,Se,lt,Vt,0)}var ar=lt-1,Qr=1;for(this[Se+ar]=xe&255;--ar>=0&&(Qr*=256);)this[Se+ar]=xe/Qr&255;return Se+lt},T.prototype.writeUint8=T.prototype.writeUInt8=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,1,255,0),this[Se]=xe&255,Se+1},T.prototype.writeUint16LE=T.prototype.writeUInt16LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,65535,0),this[Se]=xe&255,this[Se+1]=xe>>>8,Se+2},T.prototype.writeUint16BE=T.prototype.writeUInt16BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,65535,0),this[Se]=xe>>>8,this[Se+1]=xe&255,Se+2},T.prototype.writeUint32LE=T.prototype.writeUInt32LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,4294967295,0),this[Se+3]=xe>>>24,this[Se+2]=xe>>>16,this[Se+1]=xe>>>8,this[Se]=xe&255,Se+4},T.prototype.writeUint32BE=T.prototype.writeUInt32BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,4294967295,0),this[Se]=xe>>>24,this[Se+1]=xe>>>16,this[Se+2]=xe>>>8,this[Se+3]=xe&255,Se+4};function Ct(Le,xe,Se,lt,Gt){Et(xe,lt,Gt,Le,Se,7);var Vt=Number(xe&BigInt(4294967295));Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt;var ar=Number(xe>>BigInt(32)&BigInt(4294967295));return Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,Se}function Yt(Le,xe,Se,lt,Gt){Et(xe,lt,Gt,Le,Se,7);var Vt=Number(xe&BigInt(4294967295));Le[Se+7]=Vt,Vt=Vt>>8,Le[Se+6]=Vt,Vt=Vt>>8,Le[Se+5]=Vt,Vt=Vt>>8,Le[Se+4]=Vt;var ar=Number(xe>>BigInt(32)&BigInt(4294967295));return Le[Se+3]=ar,ar=ar>>8,Le[Se+2]=ar,ar=ar>>8,Le[Se+1]=ar,ar=ar>>8,Le[Se]=ar,Se+8}T.prototype.writeBigUInt64LE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Ct(this,xe,Se,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeBigUInt64BE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Yt(this,xe,Se,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeIntLE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,!Gt){var Vt=Math.pow(2,8*lt-1);kt(this,xe,Se,lt,Vt-1,-Vt)}var ar=0,Qr=1,ai=0;for(this[Se]=xe&255;++ar<lt&&(Qr*=256);)xe<0&&ai===0&&this[Se+ar-1]!==0&&(ai=1),this[Se+ar]=(xe/Qr>>0)-ai&255;return Se+lt},T.prototype.writeIntBE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,!Gt){var Vt=Math.pow(2,8*lt-1);kt(this,xe,Se,lt,Vt-1,-Vt)}var ar=lt-1,Qr=1,ai=0;for(this[Se+ar]=xe&255;--ar>=0&&(Qr*=256);)xe<0&&ai===0&&this[Se+ar+1]!==0&&(ai=1),this[Se+ar]=(xe/Qr>>0)-ai&255;return Se+lt},T.prototype.writeInt8=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,1,127,-128),xe<0&&(xe=255+xe+1),this[Se]=xe&255,Se+1},T.prototype.writeInt16LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,32767,-32768),this[Se]=xe&255,this[Se+1]=xe>>>8,Se+2},T.prototype.writeInt16BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,32767,-32768),this[Se]=xe>>>8,this[Se+1]=xe&255,Se+2},T.prototype.writeInt32LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,2147483647,-2147483648),this[Se]=xe&255,this[Se+1]=xe>>>8,this[Se+2]=xe>>>16,this[Se+3]=xe>>>24,Se+4},T.prototype.writeInt32BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,2147483647,-2147483648),xe<0&&(xe=4294967295+xe+1),this[Se]=xe>>>24,this[Se+1]=xe>>>16,this[Se+2]=xe>>>8,this[Se+3]=xe&255,Se+4},T.prototype.writeBigInt64LE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Ct(this,xe,Se,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))}),T.prototype.writeBigInt64BE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Yt(this,xe,Se,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))});function xr(Le,xe,Se,lt,Gt,Vt){if(Se+lt>Le.length)throw new RangeError(\"Index out of range\");if(Se<0)throw new RangeError(\"Index out of range\")}function er(Le,xe,Se,lt,Gt){return xe=+xe,Se=Se>>>0,Gt||xr(Le,xe,Se,4,34028234663852886e22,-34028234663852886e22),_.write(Le,xe,Se,lt,23,4),Se+4}T.prototype.writeFloatLE=function(xe,Se,lt){return er(this,xe,Se,!0,lt)},T.prototype.writeFloatBE=function(xe,Se,lt){return er(this,xe,Se,!1,lt)};function Ke(Le,xe,Se,lt,Gt){return xe=+xe,Se=Se>>>0,Gt||xr(Le,xe,Se,8,17976931348623157e292,-17976931348623157e292),_.write(Le,xe,Se,lt,52,8),Se+8}T.prototype.writeDoubleLE=function(xe,Se,lt){return Ke(this,xe,Se,!0,lt)},T.prototype.writeDoubleBE=function(xe,Se,lt){return Ke(this,xe,Se,!1,lt)},T.prototype.copy=function(xe,Se,lt,Gt){if(!T.isBuffer(xe))throw new TypeError(\"argument should be a Buffer\");if(lt||(lt=0),!Gt&&Gt!==0&&(Gt=this.length),Se>=xe.length&&(Se=xe.length),Se||(Se=0),Gt>0&&Gt<lt&&(Gt=lt),Gt===lt||xe.length===0||this.length===0)return 0;if(Se<0)throw new RangeError(\"targetStart out of bounds\");if(lt<0||lt>=this.length)throw new RangeError(\"Index out of range\");if(Gt<0)throw new RangeError(\"sourceEnd out of bounds\");Gt>this.length&&(Gt=this.length),xe.length-Se<Gt-lt&&(Gt=xe.length-Se+lt);var Vt=Gt-lt;return this===xe&&typeof Uint8Array.prototype.copyWithin==\"function\"?this.copyWithin(Se,lt,Gt):Uint8Array.prototype.set.call(xe,this.subarray(lt,Gt),Se),Vt},T.prototype.fill=function(xe,Se,lt,Gt){if(typeof xe==\"string\"){if(typeof Se==\"string\"?(Gt=Se,Se=0,lt=this.length):typeof lt==\"string\"&&(Gt=lt,lt=this.length),Gt!==void 0&&typeof Gt!=\"string\")throw new TypeError(\"encoding must be a string\");if(typeof Gt==\"string\"&&!T.isEncoding(Gt))throw new TypeError(\"Unknown encoding: \"+Gt);if(xe.length===1){var Vt=xe.charCodeAt(0);(Gt===\"utf8\"&&Vt<128||Gt===\"latin1\")&&(xe=Vt)}}else typeof xe==\"number\"?xe=xe&255:typeof xe==\"boolean\"&&(xe=Number(xe));if(Se<0||this.length<Se||this.length<lt)throw new RangeError(\"Out of range index\");if(lt<=Se)return this;Se=Se>>>0,lt=lt===void 0?this.length:lt>>>0,xe||(xe=0);var ar;if(typeof xe==\"number\")for(ar=Se;ar<lt;++ar)this[ar]=xe;else{var Qr=T.isBuffer(xe)?xe:T.from(xe,Gt),ai=Qr.length;if(ai===0)throw new TypeError('The value \"'+xe+'\" is invalid for argument \"value\"');for(ar=0;ar<lt-Se;++ar)this[ar+Se]=Qr[ar%ai]}return this};var xt={};function bt(Le,xe,Se){xt[Le]=function(lt){function Gt(){var Vt;return l(this,Gt),Vt=d(this,Gt),Object.defineProperty(Vt,\"message\",{value:xe.apply(Vt,arguments),writable:!0,configurable:!0}),Vt.name=\"\".concat(Vt.name,\" [\").concat(Le,\"]\"),Vt.stack,delete Vt.name,Vt}return E(Gt,lt),c(Gt,[{key:\"code\",get:function(){return Le},set:function(ar){Object.defineProperty(this,\"code\",{configurable:!0,enumerable:!0,value:ar,writable:!0})}},{key:\"toString\",value:function(){return\"\".concat(this.name,\" [\").concat(Le,\"]: \").concat(this.message)}}])}(Se)}bt(\"ERR_BUFFER_OUT_OF_BOUNDS\",function(Le){return Le?\"\".concat(Le,\" is outside of buffer bounds\"):\"Attempt to access memory outside buffer bounds\"},RangeError),bt(\"ERR_INVALID_ARG_TYPE\",function(Le,xe){return'The \"'.concat(Le,'\" argument must be of type number. Received type ').concat(A(xe))},TypeError),bt(\"ERR_OUT_OF_RANGE\",function(Le,xe,Se){var lt='The value of \"'.concat(Le,'\" is out of range.'),Gt=Se;return Number.isInteger(Se)&&Math.abs(Se)>Math.pow(2,32)?Gt=Lt(String(Se)):typeof Se==\"bigint\"&&(Gt=String(Se),(Se>Math.pow(BigInt(2),BigInt(32))||Se<-Math.pow(BigInt(2),BigInt(32)))&&(Gt=Lt(Gt)),Gt+=\"n\"),lt+=\" It must be \".concat(xe,\". Received \").concat(Gt),lt},RangeError);function Lt(Le){for(var xe=\"\",Se=Le.length,lt=Le[0]===\"-\"?1:0;Se>=lt+4;Se-=3)xe=\"_\".concat(Le.slice(Se-3,Se)).concat(xe);return\"\".concat(Le.slice(0,Se)).concat(xe)}function St(Le,xe,Se){dt(xe,\"offset\"),(Le[xe]===void 0||Le[xe+Se]===void 0)&&Ht(xe,Le.length-(Se+1))}function Et(Le,xe,Se,lt,Gt,Vt){if(Le>Se||Le<xe){var ar=typeof xe==\"bigint\"?\"n\":\"\",Qr;throw Vt>3?xe===0||xe===BigInt(0)?Qr=\">= 0\".concat(ar,\" and < 2\").concat(ar,\" ** \").concat((Vt+1)*8).concat(ar):Qr=\">= -(2\".concat(ar,\" ** \").concat((Vt+1)*8-1).concat(ar,\") and < 2 ** \")+\"\".concat((Vt+1)*8-1).concat(ar):Qr=\">= \".concat(xe).concat(ar,\" and <= \").concat(Se).concat(ar),new xt.ERR_OUT_OF_RANGE(\"value\",Qr,Le)}St(lt,Gt,Vt)}function dt(Le,xe){if(typeof Le!=\"number\")throw new xt.ERR_INVALID_ARG_TYPE(xe,\"number\",Le)}function Ht(Le,xe,Se){throw Math.floor(Le)!==Le?(dt(Le,Se),new xt.ERR_OUT_OF_RANGE(Se||\"offset\",\"an integer\",Le)):xe<0?new xt.ERR_BUFFER_OUT_OF_BOUNDS:new xt.ERR_OUT_OF_RANGE(Se||\"offset\",\">= \".concat(Se?1:0,\" and <= \").concat(xe),Le)}var $t=/[^+/0-9A-Za-z-_]/g;function fr(Le){if(Le=Le.split(\"=\")[0],Le=Le.trim().replace($t,\"\"),Le.length<2)return\"\";for(;Le.length%4!==0;)Le=Le+\"=\";return Le}function _r(Le,xe){xe=xe||1/0;for(var Se,lt=Le.length,Gt=null,Vt=[],ar=0;ar<lt;++ar){if(Se=Le.charCodeAt(ar),Se>55295&&Se<57344){if(!Gt){if(Se>56319){(xe-=3)>-1&&Vt.push(239,191,189);continue}else if(ar+1===lt){(xe-=3)>-1&&Vt.push(239,191,189);continue}Gt=Se;continue}if(Se<56320){(xe-=3)>-1&&Vt.push(239,191,189),Gt=Se;continue}Se=(Gt-55296<<10|Se-56320)+65536}else Gt&&(xe-=3)>-1&&Vt.push(239,191,189);if(Gt=null,Se<128){if((xe-=1)<0)break;Vt.push(Se)}else if(Se<2048){if((xe-=2)<0)break;Vt.push(Se>>6|192,Se&63|128)}else if(Se<65536){if((xe-=3)<0)break;Vt.push(Se>>12|224,Se>>6&63|128,Se&63|128)}else if(Se<1114112){if((xe-=4)<0)break;Vt.push(Se>>18|240,Se>>12&63|128,Se>>6&63|128,Se&63|128)}else throw new Error(\"Invalid code point\")}return Vt}function Br(Le){for(var xe=[],Se=0;Se<Le.length;++Se)xe.push(Le.charCodeAt(Se)&255);return xe}function Or(Le,xe){for(var Se,lt,Gt,Vt=[],ar=0;ar<Le.length&&!((xe-=2)<0);++ar)Se=Le.charCodeAt(ar),lt=Se>>8,Gt=Se%256,Vt.push(Gt),Vt.push(lt);return Vt}function Nr(Le){return L.toByteArray(fr(Le))}function ut(Le,xe,Se,lt){var Gt;for(Gt=0;Gt<lt&&!(Gt+Se>=xe.length||Gt>=Le.length);++Gt)xe[Gt+Se]=Le[Gt];return Gt}function Ne(Le,xe){return Le instanceof xe||Le!=null&&Le.constructor!=null&&Le.constructor.name!=null&&Le.constructor.name===xe.name}function Ye(Le){return Le!==Le}var Ve=function(){for(var Le=\"0123456789abcdef\",xe=new Array(256),Se=0;Se<16;++Se)for(var lt=Se*16,Gt=0;Gt<16;++Gt)xe[lt+Gt]=Le[Se]+Le[Gt];return xe}();function Xe(Le){return typeof BigInt==\"undefined\"?ht:Le}function ht(){throw new Error(\"BigInt not supported\")}},9216:function(i){\"use strict\";i.exports=l,i.exports.isMobile=l,i.exports.default=l;var a=/(android|bb\\d+|meego).+mobile|armv7l|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|samsungbrowser.*mobile|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,o=/CrOS/,s=/android|ipad|playbook|silk/i;function l(u){u||(u={});var c=u.ua;if(!c&&typeof navigator!=\"undefined\"&&(c=navigator.userAgent),c&&c.headers&&typeof c.headers[\"user-agent\"]==\"string\"&&(c=c.headers[\"user-agent\"]),typeof c!=\"string\")return!1;var f=a.test(c)&&!o.test(c)||!!u.tablet&&s.test(c);return!f&&u.tablet&&u.featureDetect&&navigator&&navigator.maxTouchPoints>1&&c.indexOf(\"Macintosh\")!==-1&&c.indexOf(\"Safari\")!==-1&&(f=!0),f}},6296:function(i,a,o){\"use strict\";i.exports=h;var s=o(7261),l=o(9977),u=o(1811);function c(d,v){this._controllerNames=Object.keys(d),this._controllerList=this._controllerNames.map(function(x){return d[x]}),this._mode=v,this._active=d[v],this._active||(this._mode=\"turntable\",this._active=d.turntable),this.modes=this._controllerNames,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}var f=c.prototype;f.flush=function(d){for(var v=this._controllerList,x=0;x<v.length;++x)v[x].flush(d)},f.idle=function(d){for(var v=this._controllerList,x=0;x<v.length;++x)v[x].idle(d)},f.lookAt=function(d,v,x,b){for(var g=this._controllerList,E=0;E<g.length;++E)g[E].lookAt(d,v,x,b)},f.rotate=function(d,v,x,b){for(var g=this._controllerList,E=0;E<g.length;++E)g[E].rotate(d,v,x,b)},f.pan=function(d,v,x,b){for(var g=this._controllerList,E=0;E<g.length;++E)g[E].pan(d,v,x,b)},f.translate=function(d,v,x,b){for(var g=this._controllerList,E=0;E<g.length;++E)g[E].translate(d,v,x,b)},f.setMatrix=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setMatrix(d,v)},f.setDistanceLimits=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setDistanceLimits(d,v)},f.setDistance=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setDistance(d,v)},f.recalcMatrix=function(d){this._active.recalcMatrix(d)},f.getDistance=function(d){return this._active.getDistance(d)},f.getDistanceLimits=function(d){return this._active.getDistanceLimits(d)},f.lastT=function(){return this._active.lastT()},f.setMode=function(d){if(d!==this._mode){var v=this._controllerNames.indexOf(d);if(!(v<0)){var 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b=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],g=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],E=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];f.prototype.toString=function(N,W){N=N||10,W=W|0||1;var re;if(N===16||N===\"hex\"){re=\"\";for(var ae=0,_e=0,Me=0;Me<this.length;Me++){var ke=this.words[Me],ge=((ke<<ae|_e)&16777215).toString(16);_e=ke>>>24-ae&16777215,_e!==0||Me!==this.length-1?re=b[6-ge.length]+ge+re:re=ge+re,ae+=2,ae>=26&&(ae-=26,Me--)}for(_e!==0&&(re=_e.toString(16)+re);re.length%W!==0;)re=\"0\"+re;return this.negative!==0&&(re=\"-\"+re),re}if(N===(N|0)&&N>=2&&N<=36){var ie=g[N],Te=E[N];re=\"\";var Ee=this.clone();for(Ee.negative=0;!Ee.isZero();){var Ae=Ee.modn(Te).toString(N);Ee=Ee.idivn(Te),Ee.isZero()?re=Ae+re:re=b[ie-Ae.length]+Ae+re}for(this.isZero()&&(re=\"0\"+re);re.length%W!==0;)re=\"0\"+re;return this.negative!==0&&(re=\"-\"+re),re}u(!1,\"Base should be between 2 and 36\")},f.prototype.toNumber=function(){var N=this.words[0];return this.length===2?N+=this.words[1]*67108864:this.length===3&&this.words[2]===1?N+=4503599627370496+this.words[1]*67108864:this.length>2&&u(!1,\"Number can only safely store up to 53 bits\"),this.negative!==0?-N:N},f.prototype.toJSON=function(){return this.toString(16)},f.prototype.toBuffer=function(N,W){return u(typeof h!=\"undefined\"),this.toArrayLike(h,N,W)},f.prototype.toArray=function(N,W){return this.toArrayLike(Array,N,W)},f.prototype.toArrayLike=function(N,W,re){var ae=this.byteLength(),_e=re||Math.max(1,ae);u(ae<=_e,\"byte array longer than desired length\"),u(_e>0,\"Requested array length <= 0\"),this.strip();var Me=W===\"le\",ke=new N(_e),ge,ie,Te=this.clone();if(Me){for(ie=0;!Te.isZero();ie++)ge=Te.andln(255),Te.iushrn(8),ke[ie]=ge;for(;ie<_e;ie++)ke[ie]=0}else{for(ie=0;ie<_e-ae;ie++)ke[ie]=0;for(ie=0;!Te.isZero();ie++)ge=Te.andln(255),Te.iushrn(8),ke[_e-ie-1]=ge}return ke},Math.clz32?f.prototype._countBits=function(N){return 32-Math.clz32(N)}:f.prototype._countBits=function(N){var W=N,re=0;return W>=4096&&(re+=13,W>>>=13),W>=64&&(re+=7,W>>>=7),W>=8&&(re+=4,W>>>=4),W>=2&&(re+=2,W>>>=2),re+W},f.prototype._zeroBits=function(N){if(N===0)return 26;var W=N,re=0;return W&8191||(re+=13,W>>>=13),W&127||(re+=7,W>>>=7),W&15||(re+=4,W>>>=4),W&3||(re+=2,W>>>=2),W&1||re++,re},f.prototype.bitLength=function(){var N=this.words[this.length-1],W=this._countBits(N);return(this.length-1)*26+W};function k(G){for(var N=new Array(G.bitLength()),W=0;W<N.length;W++){var re=W/26|0,ae=W%26;N[W]=(G.words[re]&1<<ae)>>>ae}return N}f.prototype.zeroBits=function(){if(this.isZero())return 0;for(var N=0,W=0;W<this.length;W++){var re=this._zeroBits(this.words[W]);if(N+=re,re!==26)break}return N},f.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},f.prototype.toTwos=function(N){return this.negative!==0?this.abs().inotn(N).iaddn(1):this.clone()},f.prototype.fromTwos=function(N){return this.testn(N-1)?this.notn(N).iaddn(1).ineg():this.clone()},f.prototype.isNeg=function(){return this.negative!==0},f.prototype.neg=function(){return this.clone().ineg()},f.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},f.prototype.iuor=function(N){for(;this.length<N.length;)this.words[this.length++]=0;for(var W=0;W<N.length;W++)this.words[W]=this.words[W]|N.words[W];return this.strip()},f.prototype.ior=function(N){return u((this.negative|N.negative)===0),this.iuor(N)},f.prototype.or=function(N){return this.length>N.length?this.clone().ior(N):N.clone().ior(this)},f.prototype.uor=function(N){return this.length>N.length?this.clone().iuor(N):N.clone().iuor(this)},f.prototype.iuand=function(N){var W;this.length>N.length?W=N:W=this;for(var re=0;re<W.length;re++)this.words[re]=this.words[re]&N.words[re];return this.length=W.length,this.strip()},f.prototype.iand=function(N){return u((this.negative|N.negative)===0),this.iuand(N)},f.prototype.and=function(N){return this.length>N.length?this.clone().iand(N):N.clone().iand(this)},f.prototype.uand=function(N){return this.length>N.length?this.clone().iuand(N):N.clone().iuand(this)},f.prototype.iuxor=function(N){var W,re;this.length>N.length?(W=this,re=N):(W=N,re=this);for(var ae=0;ae<re.length;ae++)this.words[ae]=W.words[ae]^re.words[ae];if(this!==W)for(;ae<W.length;ae++)this.words[ae]=W.words[ae];return this.length=W.length,this.strip()},f.prototype.ixor=function(N){return u((this.negative|N.negative)===0),this.iuxor(N)},f.prototype.xor=function(N){return this.length>N.length?this.clone().ixor(N):N.clone().ixor(this)},f.prototype.uxor=function(N){return this.length>N.length?this.clone().iuxor(N):N.clone().iuxor(this)},f.prototype.inotn=function(N){u(typeof N==\"number\"&&N>=0);var W=Math.ceil(N/26)|0,re=N%26;this._expand(W),re>0&&W--;for(var ae=0;ae<W;ae++)this.words[ae]=~this.words[ae]&67108863;return re>0&&(this.words[ae]=~this.words[ae]&67108863>>26-re),this.strip()},f.prototype.notn=function(N){return this.clone().inotn(N)},f.prototype.setn=function(N,W){u(typeof N==\"number\"&&N>=0);var re=N/26|0,ae=N%26;return this._expand(re+1),W?this.words[re]=this.words[re]|1<<ae:this.words[re]=this.words[re]&~(1<<ae),this.strip()},f.prototype.iadd=function(N){var W;if(this.negative!==0&&N.negative===0)return this.negative=0,W=this.isub(N),this.negative^=1,this._normSign();if(this.negative===0&&N.negative!==0)return N.negative=0,W=this.isub(N),N.negative=1,W._normSign();var re,ae;this.length>N.length?(re=this,ae=N):(re=N,ae=this);for(var _e=0,Me=0;Me<ae.length;Me++)W=(re.words[Me]|0)+(ae.words[Me]|0)+_e,this.words[Me]=W&67108863,_e=W>>>26;for(;_e!==0&&Me<re.length;Me++)W=(re.words[Me]|0)+_e,this.words[Me]=W&67108863,_e=W>>>26;if(this.length=re.length,_e!==0)this.words[this.length]=_e,this.length++;else if(re!==this)for(;Me<re.length;Me++)this.words[Me]=re.words[Me];return this},f.prototype.add=function(N){var W;return N.negative!==0&&this.negative===0?(N.negative=0,W=this.sub(N),N.negative^=1,W):N.negative===0&&this.negative!==0?(this.negative=0,W=N.sub(this),this.negative=1,W):this.length>N.length?this.clone().iadd(N):N.clone().iadd(this)},f.prototype.isub=function(N){if(N.negative!==0){N.negative=0;var W=this.iadd(N);return N.negative=1,W._normSign()}else if(this.negative!==0)return this.negative=0,this.iadd(N),this.negative=1,this._normSign();var re=this.cmp(N);if(re===0)return this.negative=0,this.length=1,this.words[0]=0,this;var ae,_e;re>0?(ae=this,_e=N):(ae=N,_e=this);for(var Me=0,ke=0;ke<_e.length;ke++)W=(ae.words[ke]|0)-(_e.words[ke]|0)+Me,Me=W>>26,this.words[ke]=W&67108863;for(;Me!==0&&ke<ae.length;ke++)W=(ae.words[ke]|0)+Me,Me=W>>26,this.words[ke]=W&67108863;if(Me===0&&ke<ae.length&&ae!==this)for(;ke<ae.length;ke++)this.words[ke]=ae.words[ke];return this.length=Math.max(this.length,ke),ae!==this&&(this.negative=1),this.strip()},f.prototype.sub=function(N){return this.clone().isub(N)};function A(G,N,W){W.negative=N.negative^G.negative;var re=G.length+N.length|0;W.length=re,re=re-1|0;var ae=G.words[0]|0,_e=N.words[0]|0,Me=ae*_e,ke=Me&67108863,ge=Me/67108864|0;W.words[0]=ke;for(var ie=1;ie<re;ie++){for(var Te=ge>>>26,Ee=ge&67108863,Ae=Math.min(ie,N.length-1),ze=Math.max(0,ie-G.length+1);ze<=Ae;ze++){var Ce=ie-ze|0;ae=G.words[Ce]|0,_e=N.words[ze]|0,Me=ae*_e+Ee,Te+=Me/67108864|0,Ee=Me&67108863}W.words[ie]=Ee|0,ge=Te|0}return ge!==0?W.words[ie]=ge|0:W.length--,W.strip()}var L=function(N,W,re){var ae=N.words,_e=W.words,Me=re.words,ke=0,ge,ie,Te,Ee=ae[0]|0,Ae=Ee&8191,ze=Ee>>>13,Ce=ae[1]|0,me=Ce&8191,Re=Ce>>>13,ce=ae[2]|0,Ge=ce&8191,nt=ce>>>13,ct=ae[3]|0,qt=ct&8191,rt=ct>>>13,ot=ae[4]|0,Rt=ot&8191,kt=ot>>>13,Ct=ae[5]|0,Yt=Ct&8191,xr=Ct>>>13,er=ae[6]|0,Ke=er&8191,xt=er>>>13,bt=ae[7]|0,Lt=bt&8191,St=bt>>>13,Et=ae[8]|0,dt=Et&8191,Ht=Et>>>13,$t=ae[9]|0,fr=$t&8191,_r=$t>>>13,Br=_e[0]|0,Or=Br&8191,Nr=Br>>>13,ut=_e[1]|0,Ne=ut&8191,Ye=ut>>>13,Ve=_e[2]|0,Xe=Ve&8191,ht=Ve>>>13,Le=_e[3]|0,xe=Le&8191,Se=Le>>>13,lt=_e[4]|0,Gt=lt&8191,Vt=lt>>>13,ar=_e[5]|0,Qr=ar&8191,ai=ar>>>13,jr=_e[6]|0,ri=jr&8191,bi=jr>>>13,nn=_e[7]|0,Wi=nn&8191,Ni=nn>>>13,_n=_e[8]|0,$i=_n&8191,zn=_n>>>13,Wn=_e[9]|0,It=Wn&8191,ft=Wn>>>13;re.negative=N.negative^W.negative,re.length=19,ge=Math.imul(Ae,Or),ie=Math.imul(Ae,Nr),ie=ie+Math.imul(ze,Or)|0,Te=Math.imul(ze,Nr);var jt=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jt>>>26)|0,jt&=67108863,ge=Math.imul(me,Or),ie=Math.imul(me,Nr),ie=ie+Math.imul(Re,Or)|0,Te=Math.imul(Re,Nr),ge=ge+Math.imul(Ae,Ne)|0,ie=ie+Math.imul(Ae,Ye)|0,ie=ie+Math.imul(ze,Ne)|0,Te=Te+Math.imul(ze,Ye)|0;var Zt=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Zt>>>26)|0,Zt&=67108863,ge=Math.imul(Ge,Or),ie=Math.imul(Ge,Nr),ie=ie+Math.imul(nt,Or)|0,Te=Math.imul(nt,Nr),ge=ge+Math.imul(me,Ne)|0,ie=ie+Math.imul(me,Ye)|0,ie=ie+Math.imul(Re,Ne)|0,Te=Te+Math.imul(Re,Ye)|0,ge=ge+Math.imul(Ae,Xe)|0,ie=ie+Math.imul(Ae,ht)|0,ie=ie+Math.imul(ze,Xe)|0,Te=Te+Math.imul(ze,ht)|0;var yr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(yr>>>26)|0,yr&=67108863,ge=Math.imul(qt,Or),ie=Math.imul(qt,Nr),ie=ie+Math.imul(rt,Or)|0,Te=Math.imul(rt,Nr),ge=ge+Math.imul(Ge,Ne)|0,ie=ie+Math.imul(Ge,Ye)|0,ie=ie+Math.imul(nt,Ne)|0,Te=Te+Math.imul(nt,Ye)|0,ge=ge+Math.imul(me,Xe)|0,ie=ie+Math.imul(me,ht)|0,ie=ie+Math.imul(Re,Xe)|0,Te=Te+Math.imul(Re,ht)|0,ge=ge+Math.imul(Ae,xe)|0,ie=ie+Math.imul(Ae,Se)|0,ie=ie+Math.imul(ze,xe)|0,Te=Te+Math.imul(ze,Se)|0;var Fr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Fr>>>26)|0,Fr&=67108863,ge=Math.imul(Rt,Or),ie=Math.imul(Rt,Nr),ie=ie+Math.imul(kt,Or)|0,Te=Math.imul(kt,Nr),ge=ge+Math.imul(qt,Ne)|0,ie=ie+Math.imul(qt,Ye)|0,ie=ie+Math.imul(rt,Ne)|0,Te=Te+Math.imul(rt,Ye)|0,ge=ge+Math.imul(Ge,Xe)|0,ie=ie+Math.imul(Ge,ht)|0,ie=ie+Math.imul(nt,Xe)|0,Te=Te+Math.imul(nt,ht)|0,ge=ge+Math.imul(me,xe)|0,ie=ie+Math.imul(me,Se)|0,ie=ie+Math.imul(Re,xe)|0,Te=Te+Math.imul(Re,Se)|0,ge=ge+Math.imul(Ae,Gt)|0,ie=ie+Math.imul(Ae,Vt)|0,ie=ie+Math.imul(ze,Gt)|0,Te=Te+Math.imul(ze,Vt)|0;var Zr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Zr>>>26)|0,Zr&=67108863,ge=Math.imul(Yt,Or),ie=Math.imul(Yt,Nr),ie=ie+Math.imul(xr,Or)|0,Te=Math.imul(xr,Nr),ge=ge+Math.imul(Rt,Ne)|0,ie=ie+Math.imul(Rt,Ye)|0,ie=ie+Math.imul(kt,Ne)|0,Te=Te+Math.imul(kt,Ye)|0,ge=ge+Math.imul(qt,Xe)|0,ie=ie+Math.imul(qt,ht)|0,ie=ie+Math.imul(rt,Xe)|0,Te=Te+Math.imul(rt,ht)|0,ge=ge+Math.imul(Ge,xe)|0,ie=ie+Math.imul(Ge,Se)|0,ie=ie+Math.imul(nt,xe)|0,Te=Te+Math.imul(nt,Se)|0,ge=ge+Math.imul(me,Gt)|0,ie=ie+Math.imul(me,Vt)|0,ie=ie+Math.imul(Re,Gt)|0,Te=Te+Math.imul(Re,Vt)|0,ge=ge+Math.imul(Ae,Qr)|0,ie=ie+Math.imul(Ae,ai)|0,ie=ie+Math.imul(ze,Qr)|0,Te=Te+Math.imul(ze,ai)|0;var Vr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Vr>>>26)|0,Vr&=67108863,ge=Math.imul(Ke,Or),ie=Math.imul(Ke,Nr),ie=ie+Math.imul(xt,Or)|0,Te=Math.imul(xt,Nr),ge=ge+Math.imul(Yt,Ne)|0,ie=ie+Math.imul(Yt,Ye)|0,ie=ie+Math.imul(xr,Ne)|0,Te=Te+Math.imul(xr,Ye)|0,ge=ge+Math.imul(Rt,Xe)|0,ie=ie+Math.imul(Rt,ht)|0,ie=ie+Math.imul(kt,Xe)|0,Te=Te+Math.imul(kt,ht)|0,ge=ge+Math.imul(qt,xe)|0,ie=ie+Math.imul(qt,Se)|0,ie=ie+Math.imul(rt,xe)|0,Te=Te+Math.imul(rt,Se)|0,ge=ge+Math.imul(Ge,Gt)|0,ie=ie+Math.imul(Ge,Vt)|0,ie=ie+Math.imul(nt,Gt)|0,Te=Te+Math.imul(nt,Vt)|0,ge=ge+Math.imul(me,Qr)|0,ie=ie+Math.imul(me,ai)|0,ie=ie+Math.imul(Re,Qr)|0,Te=Te+Math.imul(Re,ai)|0,ge=ge+Math.imul(Ae,ri)|0,ie=ie+Math.imul(Ae,bi)|0,ie=ie+Math.imul(ze,ri)|0,Te=Te+Math.imul(ze,bi)|0;var gi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(gi>>>26)|0,gi&=67108863,ge=Math.imul(Lt,Or),ie=Math.imul(Lt,Nr),ie=ie+Math.imul(St,Or)|0,Te=Math.imul(St,Nr),ge=ge+Math.imul(Ke,Ne)|0,ie=ie+Math.imul(Ke,Ye)|0,ie=ie+Math.imul(xt,Ne)|0,Te=Te+Math.imul(xt,Ye)|0,ge=ge+Math.imul(Yt,Xe)|0,ie=ie+Math.imul(Yt,ht)|0,ie=ie+Math.imul(xr,Xe)|0,Te=Te+Math.imul(xr,ht)|0,ge=ge+Math.imul(Rt,xe)|0,ie=ie+Math.imul(Rt,Se)|0,ie=ie+Math.imul(kt,xe)|0,Te=Te+Math.imul(kt,Se)|0,ge=ge+Math.imul(qt,Gt)|0,ie=ie+Math.imul(qt,Vt)|0,ie=ie+Math.imul(rt,Gt)|0,Te=Te+Math.imul(rt,Vt)|0,ge=ge+Math.imul(Ge,Qr)|0,ie=ie+Math.imul(Ge,ai)|0,ie=ie+Math.imul(nt,Qr)|0,Te=Te+Math.imul(nt,ai)|0,ge=ge+Math.imul(me,ri)|0,ie=ie+Math.imul(me,bi)|0,ie=ie+Math.imul(Re,ri)|0,Te=Te+Math.imul(Re,bi)|0,ge=ge+Math.imul(Ae,Wi)|0,ie=ie+Math.imul(Ae,Ni)|0,ie=ie+Math.imul(ze,Wi)|0,Te=Te+Math.imul(ze,Ni)|0;var Si=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Si>>>26)|0,Si&=67108863,ge=Math.imul(dt,Or),ie=Math.imul(dt,Nr),ie=ie+Math.imul(Ht,Or)|0,Te=Math.imul(Ht,Nr),ge=ge+Math.imul(Lt,Ne)|0,ie=ie+Math.imul(Lt,Ye)|0,ie=ie+Math.imul(St,Ne)|0,Te=Te+Math.imul(St,Ye)|0,ge=ge+Math.imul(Ke,Xe)|0,ie=ie+Math.imul(Ke,ht)|0,ie=ie+Math.imul(xt,Xe)|0,Te=Te+Math.imul(xt,ht)|0,ge=ge+Math.imul(Yt,xe)|0,ie=ie+Math.imul(Yt,Se)|0,ie=ie+Math.imul(xr,xe)|0,Te=Te+Math.imul(xr,Se)|0,ge=ge+Math.imul(Rt,Gt)|0,ie=ie+Math.imul(Rt,Vt)|0,ie=ie+Math.imul(kt,Gt)|0,Te=Te+Math.imul(kt,Vt)|0,ge=ge+Math.imul(qt,Qr)|0,ie=ie+Math.imul(qt,ai)|0,ie=ie+Math.imul(rt,Qr)|0,Te=Te+Math.imul(rt,ai)|0,ge=ge+Math.imul(Ge,ri)|0,ie=ie+Math.imul(Ge,bi)|0,ie=ie+Math.imul(nt,ri)|0,Te=Te+Math.imul(nt,bi)|0,ge=ge+Math.imul(me,Wi)|0,ie=ie+Math.imul(me,Ni)|0,ie=ie+Math.imul(Re,Wi)|0,Te=Te+Math.imul(Re,Ni)|0,ge=ge+Math.imul(Ae,$i)|0,ie=ie+Math.imul(Ae,zn)|0,ie=ie+Math.imul(ze,$i)|0,Te=Te+Math.imul(ze,zn)|0;var Mi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Mi>>>26)|0,Mi&=67108863,ge=Math.imul(fr,Or),ie=Math.imul(fr,Nr),ie=ie+Math.imul(_r,Or)|0,Te=Math.imul(_r,Nr),ge=ge+Math.imul(dt,Ne)|0,ie=ie+Math.imul(dt,Ye)|0,ie=ie+Math.imul(Ht,Ne)|0,Te=Te+Math.imul(Ht,Ye)|0,ge=ge+Math.imul(Lt,Xe)|0,ie=ie+Math.imul(Lt,ht)|0,ie=ie+Math.imul(St,Xe)|0,Te=Te+Math.imul(St,ht)|0,ge=ge+Math.imul(Ke,xe)|0,ie=ie+Math.imul(Ke,Se)|0,ie=ie+Math.imul(xt,xe)|0,Te=Te+Math.imul(xt,Se)|0,ge=ge+Math.imul(Yt,Gt)|0,ie=ie+Math.imul(Yt,Vt)|0,ie=ie+Math.imul(xr,Gt)|0,Te=Te+Math.imul(xr,Vt)|0,ge=ge+Math.imul(Rt,Qr)|0,ie=ie+Math.imul(Rt,ai)|0,ie=ie+Math.imul(kt,Qr)|0,Te=Te+Math.imul(kt,ai)|0,ge=ge+Math.imul(qt,ri)|0,ie=ie+Math.imul(qt,bi)|0,ie=ie+Math.imul(rt,ri)|0,Te=Te+Math.imul(rt,bi)|0,ge=ge+Math.imul(Ge,Wi)|0,ie=ie+Math.imul(Ge,Ni)|0,ie=ie+Math.imul(nt,Wi)|0,Te=Te+Math.imul(nt,Ni)|0,ge=ge+Math.imul(me,$i)|0,ie=ie+Math.imul(me,zn)|0,ie=ie+Math.imul(Re,$i)|0,Te=Te+Math.imul(Re,zn)|0,ge=ge+Math.imul(Ae,It)|0,ie=ie+Math.imul(Ae,ft)|0,ie=ie+Math.imul(ze,It)|0,Te=Te+Math.imul(ze,ft)|0;var Pi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Pi>>>26)|0,Pi&=67108863,ge=Math.imul(fr,Ne),ie=Math.imul(fr,Ye),ie=ie+Math.imul(_r,Ne)|0,Te=Math.imul(_r,Ye),ge=ge+Math.imul(dt,Xe)|0,ie=ie+Math.imul(dt,ht)|0,ie=ie+Math.imul(Ht,Xe)|0,Te=Te+Math.imul(Ht,ht)|0,ge=ge+Math.imul(Lt,xe)|0,ie=ie+Math.imul(Lt,Se)|0,ie=ie+Math.imul(St,xe)|0,Te=Te+Math.imul(St,Se)|0,ge=ge+Math.imul(Ke,Gt)|0,ie=ie+Math.imul(Ke,Vt)|0,ie=ie+Math.imul(xt,Gt)|0,Te=Te+Math.imul(xt,Vt)|0,ge=ge+Math.imul(Yt,Qr)|0,ie=ie+Math.imul(Yt,ai)|0,ie=ie+Math.imul(xr,Qr)|0,Te=Te+Math.imul(xr,ai)|0,ge=ge+Math.imul(Rt,ri)|0,ie=ie+Math.imul(Rt,bi)|0,ie=ie+Math.imul(kt,ri)|0,Te=Te+Math.imul(kt,bi)|0,ge=ge+Math.imul(qt,Wi)|0,ie=ie+Math.imul(qt,Ni)|0,ie=ie+Math.imul(rt,Wi)|0,Te=Te+Math.imul(rt,Ni)|0,ge=ge+Math.imul(Ge,$i)|0,ie=ie+Math.imul(Ge,zn)|0,ie=ie+Math.imul(nt,$i)|0,Te=Te+Math.imul(nt,zn)|0,ge=ge+Math.imul(me,It)|0,ie=ie+Math.imul(me,ft)|0,ie=ie+Math.imul(Re,It)|0,Te=Te+Math.imul(Re,ft)|0;var Gi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Gi>>>26)|0,Gi&=67108863,ge=Math.imul(fr,Xe),ie=Math.imul(fr,ht),ie=ie+Math.imul(_r,Xe)|0,Te=Math.imul(_r,ht),ge=ge+Math.imul(dt,xe)|0,ie=ie+Math.imul(dt,Se)|0,ie=ie+Math.imul(Ht,xe)|0,Te=Te+Math.imul(Ht,Se)|0,ge=ge+Math.imul(Lt,Gt)|0,ie=ie+Math.imul(Lt,Vt)|0,ie=ie+Math.imul(St,Gt)|0,Te=Te+Math.imul(St,Vt)|0,ge=ge+Math.imul(Ke,Qr)|0,ie=ie+Math.imul(Ke,ai)|0,ie=ie+Math.imul(xt,Qr)|0,Te=Te+Math.imul(xt,ai)|0,ge=ge+Math.imul(Yt,ri)|0,ie=ie+Math.imul(Yt,bi)|0,ie=ie+Math.imul(xr,ri)|0,Te=Te+Math.imul(xr,bi)|0,ge=ge+Math.imul(Rt,Wi)|0,ie=ie+Math.imul(Rt,Ni)|0,ie=ie+Math.imul(kt,Wi)|0,Te=Te+Math.imul(kt,Ni)|0,ge=ge+Math.imul(qt,$i)|0,ie=ie+Math.imul(qt,zn)|0,ie=ie+Math.imul(rt,$i)|0,Te=Te+Math.imul(rt,zn)|0,ge=ge+Math.imul(Ge,It)|0,ie=ie+Math.imul(Ge,ft)|0,ie=ie+Math.imul(nt,It)|0,Te=Te+Math.imul(nt,ft)|0;var Ki=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Ki>>>26)|0,Ki&=67108863,ge=Math.imul(fr,xe),ie=Math.imul(fr,Se),ie=ie+Math.imul(_r,xe)|0,Te=Math.imul(_r,Se),ge=ge+Math.imul(dt,Gt)|0,ie=ie+Math.imul(dt,Vt)|0,ie=ie+Math.imul(Ht,Gt)|0,Te=Te+Math.imul(Ht,Vt)|0,ge=ge+Math.imul(Lt,Qr)|0,ie=ie+Math.imul(Lt,ai)|0,ie=ie+Math.imul(St,Qr)|0,Te=Te+Math.imul(St,ai)|0,ge=ge+Math.imul(Ke,ri)|0,ie=ie+Math.imul(Ke,bi)|0,ie=ie+Math.imul(xt,ri)|0,Te=Te+Math.imul(xt,bi)|0,ge=ge+Math.imul(Yt,Wi)|0,ie=ie+Math.imul(Yt,Ni)|0,ie=ie+Math.imul(xr,Wi)|0,Te=Te+Math.imul(xr,Ni)|0,ge=ge+Math.imul(Rt,$i)|0,ie=ie+Math.imul(Rt,zn)|0,ie=ie+Math.imul(kt,$i)|0,Te=Te+Math.imul(kt,zn)|0,ge=ge+Math.imul(qt,It)|0,ie=ie+Math.imul(qt,ft)|0,ie=ie+Math.imul(rt,It)|0,Te=Te+Math.imul(rt,ft)|0;var ka=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(ka>>>26)|0,ka&=67108863,ge=Math.imul(fr,Gt),ie=Math.imul(fr,Vt),ie=ie+Math.imul(_r,Gt)|0,Te=Math.imul(_r,Vt),ge=ge+Math.imul(dt,Qr)|0,ie=ie+Math.imul(dt,ai)|0,ie=ie+Math.imul(Ht,Qr)|0,Te=Te+Math.imul(Ht,ai)|0,ge=ge+Math.imul(Lt,ri)|0,ie=ie+Math.imul(Lt,bi)|0,ie=ie+Math.imul(St,ri)|0,Te=Te+Math.imul(St,bi)|0,ge=ge+Math.imul(Ke,Wi)|0,ie=ie+Math.imul(Ke,Ni)|0,ie=ie+Math.imul(xt,Wi)|0,Te=Te+Math.imul(xt,Ni)|0,ge=ge+Math.imul(Yt,$i)|0,ie=ie+Math.imul(Yt,zn)|0,ie=ie+Math.imul(xr,$i)|0,Te=Te+Math.imul(xr,zn)|0,ge=ge+Math.imul(Rt,It)|0,ie=ie+Math.imul(Rt,ft)|0,ie=ie+Math.imul(kt,It)|0,Te=Te+Math.imul(kt,ft)|0;var jn=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jn>>>26)|0,jn&=67108863,ge=Math.imul(fr,Qr),ie=Math.imul(fr,ai),ie=ie+Math.imul(_r,Qr)|0,Te=Math.imul(_r,ai),ge=ge+Math.imul(dt,ri)|0,ie=ie+Math.imul(dt,bi)|0,ie=ie+Math.imul(Ht,ri)|0,Te=Te+Math.imul(Ht,bi)|0,ge=ge+Math.imul(Lt,Wi)|0,ie=ie+Math.imul(Lt,Ni)|0,ie=ie+Math.imul(St,Wi)|0,Te=Te+Math.imul(St,Ni)|0,ge=ge+Math.imul(Ke,$i)|0,ie=ie+Math.imul(Ke,zn)|0,ie=ie+Math.imul(xt,$i)|0,Te=Te+Math.imul(xt,zn)|0,ge=ge+Math.imul(Yt,It)|0,ie=ie+Math.imul(Yt,ft)|0,ie=ie+Math.imul(xr,It)|0,Te=Te+Math.imul(xr,ft)|0;var la=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(la>>>26)|0,la&=67108863,ge=Math.imul(fr,ri),ie=Math.imul(fr,bi),ie=ie+Math.imul(_r,ri)|0,Te=Math.imul(_r,bi),ge=ge+Math.imul(dt,Wi)|0,ie=ie+Math.imul(dt,Ni)|0,ie=ie+Math.imul(Ht,Wi)|0,Te=Te+Math.imul(Ht,Ni)|0,ge=ge+Math.imul(Lt,$i)|0,ie=ie+Math.imul(Lt,zn)|0,ie=ie+Math.imul(St,$i)|0,Te=Te+Math.imul(St,zn)|0,ge=ge+Math.imul(Ke,It)|0,ie=ie+Math.imul(Ke,ft)|0,ie=ie+Math.imul(xt,It)|0,Te=Te+Math.imul(xt,ft)|0;var Fa=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Fa>>>26)|0,Fa&=67108863,ge=Math.imul(fr,Wi),ie=Math.imul(fr,Ni),ie=ie+Math.imul(_r,Wi)|0,Te=Math.imul(_r,Ni),ge=ge+Math.imul(dt,$i)|0,ie=ie+Math.imul(dt,zn)|0,ie=ie+Math.imul(Ht,$i)|0,Te=Te+Math.imul(Ht,zn)|0,ge=ge+Math.imul(Lt,It)|0,ie=ie+Math.imul(Lt,ft)|0,ie=ie+Math.imul(St,It)|0,Te=Te+Math.imul(St,ft)|0;var Ra=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Ra>>>26)|0,Ra&=67108863,ge=Math.imul(fr,$i),ie=Math.imul(fr,zn),ie=ie+Math.imul(_r,$i)|0,Te=Math.imul(_r,zn),ge=ge+Math.imul(dt,It)|0,ie=ie+Math.imul(dt,ft)|0,ie=ie+Math.imul(Ht,It)|0,Te=Te+Math.imul(Ht,ft)|0;var jo=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jo>>>26)|0,jo&=67108863,ge=Math.imul(fr,It),ie=Math.imul(fr,ft),ie=ie+Math.imul(_r,It)|0,Te=Math.imul(_r,ft);var oa=(ke+ge|0)+((ie&8191)<<13)|0;return ke=(Te+(ie>>>13)|0)+(oa>>>26)|0,oa&=67108863,Me[0]=jt,Me[1]=Zt,Me[2]=yr,Me[3]=Fr,Me[4]=Zr,Me[5]=Vr,Me[6]=gi,Me[7]=Si,Me[8]=Mi,Me[9]=Pi,Me[10]=Gi,Me[11]=Ki,Me[12]=ka,Me[13]=jn,Me[14]=la,Me[15]=Fa,Me[16]=Ra,Me[17]=jo,Me[18]=oa,ke!==0&&(Me[19]=ke,re.length++),re};Math.imul||(L=A);function _(G,N,W){W.negative=N.negative^G.negative,W.length=G.length+N.length;for(var re=0,ae=0,_e=0;_e<W.length-1;_e++){var Me=ae;ae=0;for(var ke=re&67108863,ge=Math.min(_e,N.length-1),ie=Math.max(0,_e-G.length+1);ie<=ge;ie++){var Te=_e-ie,Ee=G.words[Te]|0,Ae=N.words[ie]|0,ze=Ee*Ae,Ce=ze&67108863;Me=Me+(ze/67108864|0)|0,Ce=Ce+ke|0,ke=Ce&67108863,Me=Me+(Ce>>>26)|0,ae+=Me>>>26,Me&=67108863}W.words[_e]=ke,re=Me,Me=ae}return re!==0?W.words[_e]=re:W.length--,W.strip()}function C(G,N,W){var re=new M;return re.mulp(G,N,W)}f.prototype.mulTo=function(N,W){var re,ae=this.length+N.length;return this.length===10&&N.length===10?re=L(this,N,W):ae<63?re=A(this,N,W):ae<1024?re=_(this,N,W):re=C(this,N,W),re};function M(G,N){this.x=G,this.y=N}M.prototype.makeRBT=function(N){for(var W=new Array(N),re=f.prototype._countBits(N)-1,ae=0;ae<N;ae++)W[ae]=this.revBin(ae,re,N);return W},M.prototype.revBin=function(N,W,re){if(N===0||N===re-1)return N;for(var ae=0,_e=0;_e<W;_e++)ae|=(N&1)<<W-_e-1,N>>=1;return ae},M.prototype.permute=function(N,W,re,ae,_e,Me){for(var ke=0;ke<Me;ke++)ae[ke]=W[N[ke]],_e[ke]=re[N[ke]]},M.prototype.transform=function(N,W,re,ae,_e,Me){this.permute(Me,N,W,re,ae,_e);for(var ke=1;ke<_e;ke<<=1)for(var ge=ke<<1,ie=Math.cos(2*Math.PI/ge),Te=Math.sin(2*Math.PI/ge),Ee=0;Ee<_e;Ee+=ge)for(var Ae=ie,ze=Te,Ce=0;Ce<ke;Ce++){var me=re[Ee+Ce],Re=ae[Ee+Ce],ce=re[Ee+Ce+ke],Ge=ae[Ee+Ce+ke],nt=Ae*ce-ze*Ge;Ge=Ae*Ge+ze*ce,ce=nt,re[Ee+Ce]=me+ce,ae[Ee+Ce]=Re+Ge,re[Ee+Ce+ke]=me-ce,ae[Ee+Ce+ke]=Re-Ge,Ce!==ge&&(nt=ie*Ae-Te*ze,ze=ie*ze+Te*Ae,Ae=nt)}},M.prototype.guessLen13b=function(N,W){var re=Math.max(W,N)|1,ae=re&1,_e=0;for(re=re/2|0;re;re=re>>>1)_e++;return 1<<_e+1+ae},M.prototype.conjugate=function(N,W,re){if(!(re<=1))for(var ae=0;ae<re/2;ae++){var _e=N[ae];N[ae]=N[re-ae-1],N[re-ae-1]=_e,_e=W[ae],W[ae]=-W[re-ae-1],W[re-ae-1]=-_e}},M.prototype.normalize13b=function(N,W){for(var re=0,ae=0;ae<W/2;ae++){var _e=Math.round(N[2*ae+1]/W)*8192+Math.round(N[2*ae]/W)+re;N[ae]=_e&67108863,_e<67108864?re=0:re=_e/67108864|0}return N},M.prototype.convert13b=function(N,W,re,ae){for(var _e=0,Me=0;Me<W;Me++)_e=_e+(N[Me]|0),re[2*Me]=_e&8191,_e=_e>>>13,re[2*Me+1]=_e&8191,_e=_e>>>13;for(Me=2*W;Me<ae;++Me)re[Me]=0;u(_e===0),u((_e&-8192)===0)},M.prototype.stub=function(N){for(var W=new Array(N),re=0;re<N;re++)W[re]=0;return W},M.prototype.mulp=function(N,W,re){var ae=2*this.guessLen13b(N.length,W.length),_e=this.makeRBT(ae),Me=this.stub(ae),ke=new Array(ae),ge=new Array(ae),ie=new Array(ae),Te=new Array(ae),Ee=new Array(ae),Ae=new Array(ae),ze=re.words;ze.length=ae,this.convert13b(N.words,N.length,ke,ae),this.convert13b(W.words,W.length,Te,ae),this.transform(ke,Me,ge,ie,ae,_e),this.transform(Te,Me,Ee,Ae,ae,_e);for(var Ce=0;Ce<ae;Ce++){var me=ge[Ce]*Ee[Ce]-ie[Ce]*Ae[Ce];ie[Ce]=ge[Ce]*Ae[Ce]+ie[Ce]*Ee[Ce],ge[Ce]=me}return this.conjugate(ge,ie,ae),this.transform(ge,ie,ze,Me,ae,_e),this.conjugate(ze,Me,ae),this.normalize13b(ze,ae),re.negative=N.negative^W.negative,re.length=N.length+W.length,re.strip()},f.prototype.mul=function(N){var W=new f(null);return W.words=new Array(this.length+N.length),this.mulTo(N,W)},f.prototype.mulf=function(N){var W=new f(null);return W.words=new Array(this.length+N.length),C(this,N,W)},f.prototype.imul=function(N){return this.clone().mulTo(N,this)},f.prototype.imuln=function(N){u(typeof N==\"number\"),u(N<67108864);for(var W=0,re=0;re<this.length;re++){var ae=(this.words[re]|0)*N,_e=(ae&67108863)+(W&67108863);W>>=26,W+=ae/67108864|0,W+=_e>>>26,this.words[re]=_e&67108863}return W!==0&&(this.words[re]=W,this.length++),this},f.prototype.muln=function(N){return this.clone().imuln(N)},f.prototype.sqr=function(){return this.mul(this)},f.prototype.isqr=function(){return this.imul(this.clone())},f.prototype.pow=function(N){var W=k(N);if(W.length===0)return new f(1);for(var re=this,ae=0;ae<W.length&&W[ae]===0;ae++,re=re.sqr());if(++ae<W.length)for(var _e=re.sqr();ae<W.length;ae++,_e=_e.sqr())W[ae]!==0&&(re=re.mul(_e));return re},f.prototype.iushln=function(N){u(typeof N==\"number\"&&N>=0);var W=N%26,re=(N-W)/26,ae=67108863>>>26-W<<26-W,_e;if(W!==0){var Me=0;for(_e=0;_e<this.length;_e++){var ke=this.words[_e]&ae,ge=(this.words[_e]|0)-ke<<W;this.words[_e]=ge|Me,Me=ke>>>26-W}Me&&(this.words[_e]=Me,this.length++)}if(re!==0){for(_e=this.length-1;_e>=0;_e--)this.words[_e+re]=this.words[_e];for(_e=0;_e<re;_e++)this.words[_e]=0;this.length+=re}return this.strip()},f.prototype.ishln=function(N){return u(this.negative===0),this.iushln(N)},f.prototype.iushrn=function(N,W,re){u(typeof N==\"number\"&&N>=0);var ae;W?ae=(W-W%26)/26:ae=0;var _e=N%26,Me=Math.min((N-_e)/26,this.length),ke=67108863^67108863>>>_e<<_e,ge=re;if(ae-=Me,ae=Math.max(0,ae),ge){for(var ie=0;ie<Me;ie++)ge.words[ie]=this.words[ie];ge.length=Me}if(Me!==0)if(this.length>Me)for(this.length-=Me,ie=0;ie<this.length;ie++)this.words[ie]=this.words[ie+Me];else this.words[0]=0,this.length=1;var Te=0;for(ie=this.length-1;ie>=0&&(Te!==0||ie>=ae);ie--){var Ee=this.words[ie]|0;this.words[ie]=Te<<26-_e|Ee>>>_e,Te=Ee&ke}return ge&&Te!==0&&(ge.words[ge.length++]=Te),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.ishrn=function(N,W,re){return u(this.negative===0),this.iushrn(N,W,re)},f.prototype.shln=function(N){return this.clone().ishln(N)},f.prototype.ushln=function(N){return this.clone().iushln(N)},f.prototype.shrn=function(N){return this.clone().ishrn(N)},f.prototype.ushrn=function(N){return this.clone().iushrn(N)},f.prototype.testn=function(N){u(typeof N==\"number\"&&N>=0);var W=N%26,re=(N-W)/26,ae=1<<W;if(this.length<=re)return!1;var _e=this.words[re];return!!(_e&ae)},f.prototype.imaskn=function(N){u(typeof N==\"number\"&&N>=0);var W=N%26,re=(N-W)/26;if(u(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=re)return this;if(W!==0&&re++,this.length=Math.min(re,this.length),W!==0){var ae=67108863^67108863>>>W<<W;this.words[this.length-1]&=ae}return this.strip()},f.prototype.maskn=function(N){return this.clone().imaskn(N)},f.prototype.iaddn=function(N){return u(typeof N==\"number\"),u(N<67108864),N<0?this.isubn(-N):this.negative!==0?this.length===1&&(this.words[0]|0)<N?(this.words[0]=N-(this.words[0]|0),this.negative=0,this):(this.negative=0,this.isubn(N),this.negative=1,this):this._iaddn(N)},f.prototype._iaddn=function(N){this.words[0]+=N;for(var W=0;W<this.length&&this.words[W]>=67108864;W++)this.words[W]-=67108864,W===this.length-1?this.words[W+1]=1:this.words[W+1]++;return this.length=Math.max(this.length,W+1),this},f.prototype.isubn=function(N){if(u(typeof N==\"number\"),u(N<67108864),N<0)return this.iaddn(-N);if(this.negative!==0)return this.negative=0,this.iaddn(N),this.negative=1,this;if(this.words[0]-=N,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var W=0;W<this.length&&this.words[W]<0;W++)this.words[W]+=67108864,this.words[W+1]-=1;return this.strip()},f.prototype.addn=function(N){return this.clone().iaddn(N)},f.prototype.subn=function(N){return this.clone().isubn(N)},f.prototype.iabs=function(){return this.negative=0,this},f.prototype.abs=function(){return this.clone().iabs()},f.prototype._ishlnsubmul=function(N,W,re){var ae=N.length+re,_e;this._expand(ae);var Me,ke=0;for(_e=0;_e<N.length;_e++){Me=(this.words[_e+re]|0)+ke;var ge=(N.words[_e]|0)*W;Me-=ge&67108863,ke=(Me>>26)-(ge/67108864|0),this.words[_e+re]=Me&67108863}for(;_e<this.length-re;_e++)Me=(this.words[_e+re]|0)+ke,ke=Me>>26,this.words[_e+re]=Me&67108863;if(ke===0)return this.strip();for(u(ke===-1),ke=0,_e=0;_e<this.length;_e++)Me=-(this.words[_e]|0)+ke,ke=Me>>26,this.words[_e]=Me&67108863;return this.negative=1,this.strip()},f.prototype._wordDiv=function(N,W){var re=this.length-N.length,ae=this.clone(),_e=N,Me=_e.words[_e.length-1]|0,ke=this._countBits(Me);re=26-ke,re!==0&&(_e=_e.ushln(re),ae.iushln(re),Me=_e.words[_e.length-1]|0);var ge=ae.length-_e.length,ie;if(W!==\"mod\"){ie=new f(null),ie.length=ge+1,ie.words=new Array(ie.length);for(var Te=0;Te<ie.length;Te++)ie.words[Te]=0}var Ee=ae.clone()._ishlnsubmul(_e,1,ge);Ee.negative===0&&(ae=Ee,ie&&(ie.words[ge]=1));for(var Ae=ge-1;Ae>=0;Ae--){var ze=(ae.words[_e.length+Ae]|0)*67108864+(ae.words[_e.length+Ae-1]|0);for(ze=Math.min(ze/Me|0,67108863),ae._ishlnsubmul(_e,ze,Ae);ae.negative!==0;)ze--,ae.negative=0,ae._ishlnsubmul(_e,1,Ae),ae.isZero()||(ae.negative^=1);ie&&(ie.words[Ae]=ze)}return ie&&ie.strip(),ae.strip(),W!==\"div\"&&re!==0&&ae.iushrn(re),{div:ie||null,mod:ae}},f.prototype.divmod=function(N,W,re){if(u(!N.isZero()),this.isZero())return{div:new f(0),mod:new f(0)};var ae,_e,Me;return this.negative!==0&&N.negative===0?(Me=this.neg().divmod(N,W),W!==\"mod\"&&(ae=Me.div.neg()),W!==\"div\"&&(_e=Me.mod.neg(),re&&_e.negative!==0&&_e.iadd(N)),{div:ae,mod:_e}):this.negative===0&&N.negative!==0?(Me=this.divmod(N.neg(),W),W!==\"mod\"&&(ae=Me.div.neg()),{div:ae,mod:Me.mod}):this.negative&N.negative?(Me=this.neg().divmod(N.neg(),W),W!==\"div\"&&(_e=Me.mod.neg(),re&&_e.negative!==0&&_e.isub(N)),{div:Me.div,mod:_e}):N.length>this.length||this.cmp(N)<0?{div:new f(0),mod:this}:N.length===1?W===\"div\"?{div:this.divn(N.words[0]),mod:null}:W===\"mod\"?{div:null,mod:new f(this.modn(N.words[0]))}:{div:this.divn(N.words[0]),mod:new f(this.modn(N.words[0]))}:this._wordDiv(N,W)},f.prototype.div=function(N){return this.divmod(N,\"div\",!1).div},f.prototype.mod=function(N){return this.divmod(N,\"mod\",!1).mod},f.prototype.umod=function(N){return this.divmod(N,\"mod\",!0).mod},f.prototype.divRound=function(N){var W=this.divmod(N);if(W.mod.isZero())return W.div;var re=W.div.negative!==0?W.mod.isub(N):W.mod,ae=N.ushrn(1),_e=N.andln(1),Me=re.cmp(ae);return Me<0||_e===1&&Me===0?W.div:W.div.negative!==0?W.div.isubn(1):W.div.iaddn(1)},f.prototype.modn=function(N){u(N<=67108863);for(var W=(1<<26)%N,re=0,ae=this.length-1;ae>=0;ae--)re=(W*re+(this.words[ae]|0))%N;return re},f.prototype.idivn=function(N){u(N<=67108863);for(var W=0,re=this.length-1;re>=0;re--){var ae=(this.words[re]|0)+W*67108864;this.words[re]=ae/N|0,W=ae%N}return this.strip()},f.prototype.divn=function(N){return this.clone().idivn(N)},f.prototype.egcd=function(N){u(N.negative===0),u(!N.isZero());var W=this,re=N.clone();W.negative!==0?W=W.umod(N):W=W.clone();for(var ae=new f(1),_e=new f(0),Me=new f(0),ke=new f(1),ge=0;W.isEven()&&re.isEven();)W.iushrn(1),re.iushrn(1),++ge;for(var ie=re.clone(),Te=W.clone();!W.isZero();){for(var Ee=0,Ae=1;!(W.words[0]&Ae)&&Ee<26;++Ee,Ae<<=1);if(Ee>0)for(W.iushrn(Ee);Ee-- >0;)(ae.isOdd()||_e.isOdd())&&(ae.iadd(ie),_e.isub(Te)),ae.iushrn(1),_e.iushrn(1);for(var ze=0,Ce=1;!(re.words[0]&Ce)&&ze<26;++ze,Ce<<=1);if(ze>0)for(re.iushrn(ze);ze-- >0;)(Me.isOdd()||ke.isOdd())&&(Me.iadd(ie),ke.isub(Te)),Me.iushrn(1),ke.iushrn(1);W.cmp(re)>=0?(W.isub(re),ae.isub(Me),_e.isub(ke)):(re.isub(W),Me.isub(ae),ke.isub(_e))}return{a:Me,b:ke,gcd:re.iushln(ge)}},f.prototype._invmp=function(N){u(N.negative===0),u(!N.isZero());var W=this,re=N.clone();W.negative!==0?W=W.umod(N):W=W.clone();for(var ae=new f(1),_e=new f(0),Me=re.clone();W.cmpn(1)>0&&re.cmpn(1)>0;){for(var ke=0,ge=1;!(W.words[0]&ge)&&ke<26;++ke,ge<<=1);if(ke>0)for(W.iushrn(ke);ke-- >0;)ae.isOdd()&&ae.iadd(Me),ae.iushrn(1);for(var ie=0,Te=1;!(re.words[0]&Te)&&ie<26;++ie,Te<<=1);if(ie>0)for(re.iushrn(ie);ie-- >0;)_e.isOdd()&&_e.iadd(Me),_e.iushrn(1);W.cmp(re)>=0?(W.isub(re),ae.isub(_e)):(re.isub(W),_e.isub(ae))}var Ee;return W.cmpn(1)===0?Ee=ae:Ee=_e,Ee.cmpn(0)<0&&Ee.iadd(N),Ee},f.prototype.gcd=function(N){if(this.isZero())return N.abs();if(N.isZero())return this.abs();var W=this.clone(),re=N.clone();W.negative=0,re.negative=0;for(var ae=0;W.isEven()&&re.isEven();ae++)W.iushrn(1),re.iushrn(1);do{for(;W.isEven();)W.iushrn(1);for(;re.isEven();)re.iushrn(1);var _e=W.cmp(re);if(_e<0){var Me=W;W=re,re=Me}else if(_e===0||re.cmpn(1)===0)break;W.isub(re)}while(!0);return re.iushln(ae)},f.prototype.invm=function(N){return this.egcd(N).a.umod(N)},f.prototype.isEven=function(){return(this.words[0]&1)===0},f.prototype.isOdd=function(){return(this.words[0]&1)===1},f.prototype.andln=function(N){return this.words[0]&N},f.prototype.bincn=function(N){u(typeof N==\"number\");var W=N%26,re=(N-W)/26,ae=1<<W;if(this.length<=re)return this._expand(re+1),this.words[re]|=ae,this;for(var _e=ae,Me=re;_e!==0&&Me<this.length;Me++){var ke=this.words[Me]|0;ke+=_e,_e=ke>>>26,ke&=67108863,this.words[Me]=ke}return _e!==0&&(this.words[Me]=_e,this.length++),this},f.prototype.isZero=function(){return this.length===1&&this.words[0]===0},f.prototype.cmpn=function(N){var W=N<0;if(this.negative!==0&&!W)return-1;if(this.negative===0&&W)return 1;this.strip();var re;if(this.length>1)re=1;else{W&&(N=-N),u(N<=67108863,\"Number is too big\");var ae=this.words[0]|0;re=ae===N?0:ae<N?-1:1}return this.negative!==0?-re|0:re},f.prototype.cmp=function(N){if(this.negative!==0&&N.negative===0)return-1;if(this.negative===0&&N.negative!==0)return 1;var W=this.ucmp(N);return this.negative!==0?-W|0:W},f.prototype.ucmp=function(N){if(this.length>N.length)return 1;if(this.length<N.length)return-1;for(var W=0,re=this.length-1;re>=0;re--){var ae=this.words[re]|0,_e=N.words[re]|0;if(ae!==_e){ae<_e?W=-1:ae>_e&&(W=1);break}}return W},f.prototype.gtn=function(N){return this.cmpn(N)===1},f.prototype.gt=function(N){return this.cmp(N)===1},f.prototype.gten=function(N){return this.cmpn(N)>=0},f.prototype.gte=function(N){return this.cmp(N)>=0},f.prototype.ltn=function(N){return this.cmpn(N)===-1},f.prototype.lt=function(N){return this.cmp(N)===-1},f.prototype.lten=function(N){return this.cmpn(N)<=0},f.prototype.lte=function(N){return this.cmp(N)<=0},f.prototype.eqn=function(N){return this.cmpn(N)===0},f.prototype.eq=function(N){return this.cmp(N)===0},f.red=function(N){return new H(N)},f.prototype.toRed=function(N){return u(!this.red,\"Already a number in reduction context\"),u(this.negative===0,\"red works only with positives\"),N.convertTo(this)._forceRed(N)},f.prototype.fromRed=function(){return u(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},f.prototype._forceRed=function(N){return this.red=N,this},f.prototype.forceRed=function(N){return u(!this.red,\"Already a number in reduction context\"),this._forceRed(N)},f.prototype.redAdd=function(N){return u(this.red,\"redAdd works only with red numbers\"),this.red.add(this,N)},f.prototype.redIAdd=function(N){return u(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,N)},f.prototype.redSub=function(N){return u(this.red,\"redSub works only with red numbers\"),this.red.sub(this,N)},f.prototype.redISub=function(N){return u(this.red,\"redISub works only with red numbers\"),this.red.isub(this,N)},f.prototype.redShl=function(N){return u(this.red,\"redShl works only with red numbers\"),this.red.shl(this,N)},f.prototype.redMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.mul(this,N)},f.prototype.redIMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.imul(this,N)},f.prototype.redSqr=function(){return u(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},f.prototype.redISqr=function(){return u(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},f.prototype.redSqrt=function(){return u(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},f.prototype.redInvm=function(){return u(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},f.prototype.redNeg=function(){return u(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},f.prototype.redPow=function(N){return u(this.red&&!N.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,N)};var p={k256:null,p224:null,p192:null,p25519:null};function P(G,N){this.name=G,this.p=new f(N,16),this.n=this.p.bitLength(),this.k=new f(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}P.prototype._tmp=function(){var N=new f(null);return N.words=new Array(Math.ceil(this.n/13)),N},P.prototype.ireduce=function(N){var W=N,re;do this.split(W,this.tmp),W=this.imulK(W),W=W.iadd(this.tmp),re=W.bitLength();while(re>this.n);var ae=re<this.n?-1:W.ucmp(this.p);return ae===0?(W.words[0]=0,W.length=1):ae>0?W.isub(this.p):W.strip!==void 0?W.strip():W._strip(),W},P.prototype.split=function(N,W){N.iushrn(this.n,0,W)},P.prototype.imulK=function(N){return N.imul(this.k)};function T(){P.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}c(T,P),T.prototype.split=function(N,W){for(var re=4194303,ae=Math.min(N.length,9),_e=0;_e<ae;_e++)W.words[_e]=N.words[_e];if(W.length=ae,N.length<=9){N.words[0]=0,N.length=1;return}var Me=N.words[9];for(W.words[W.length++]=Me&re,_e=10;_e<N.length;_e++){var ke=N.words[_e]|0;N.words[_e-10]=(ke&re)<<4|Me>>>22,Me=ke}Me>>>=22,N.words[_e-10]=Me,Me===0&&N.length>10?N.length-=10:N.length-=9},T.prototype.imulK=function(N){N.words[N.length]=0,N.words[N.length+1]=0,N.length+=2;for(var W=0,re=0;re<N.length;re++){var ae=N.words[re]|0;W+=ae*977,N.words[re]=W&67108863,W=ae*64+(W/67108864|0)}return N.words[N.length-1]===0&&(N.length--,N.words[N.length-1]===0&&N.length--),N};function F(){P.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}c(F,P);function q(){P.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}c(q,P);function V(){P.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}c(V,P),V.prototype.imulK=function(N){for(var W=0,re=0;re<N.length;re++){var ae=(N.words[re]|0)*19+W,_e=ae&67108863;ae>>>=26,N.words[re]=_e,W=ae}return W!==0&&(N.words[N.length++]=W),N},f._prime=function(N){if(p[N])return p[N];var W;if(N===\"k256\")W=new T;else if(N===\"p224\")W=new F;else if(N===\"p192\")W=new q;else if(N===\"p25519\")W=new V;else throw new Error(\"Unknown prime \"+N);return p[N]=W,W};function H(G){if(typeof G==\"string\"){var N=f._prime(G);this.m=N.p,this.prime=N}else u(G.gtn(1),\"modulus must be greater than 1\"),this.m=G,this.prime=null}H.prototype._verify1=function(N){u(N.negative===0,\"red works only with positives\"),u(N.red,\"red works only with red numbers\")},H.prototype._verify2=function(N,W){u((N.negative|W.negative)===0,\"red works only with positives\"),u(N.red&&N.red===W.red,\"red works only with red numbers\")},H.prototype.imod=function(N){return this.prime?this.prime.ireduce(N)._forceRed(this):N.umod(this.m)._forceRed(this)},H.prototype.neg=function(N){return N.isZero()?N.clone():this.m.sub(N)._forceRed(this)},H.prototype.add=function(N,W){this._verify2(N,W);var re=N.add(W);return re.cmp(this.m)>=0&&re.isub(this.m),re._forceRed(this)},H.prototype.iadd=function(N,W){this._verify2(N,W);var re=N.iadd(W);return re.cmp(this.m)>=0&&re.isub(this.m),re},H.prototype.sub=function(N,W){this._verify2(N,W);var re=N.sub(W);return re.cmpn(0)<0&&re.iadd(this.m),re._forceRed(this)},H.prototype.isub=function(N,W){this._verify2(N,W);var re=N.isub(W);return re.cmpn(0)<0&&re.iadd(this.m),re},H.prototype.shl=function(N,W){return this._verify1(N),this.imod(N.ushln(W))},H.prototype.imul=function(N,W){return this._verify2(N,W),this.imod(N.imul(W))},H.prototype.mul=function(N,W){return this._verify2(N,W),this.imod(N.mul(W))},H.prototype.isqr=function(N){return this.imul(N,N.clone())},H.prototype.sqr=function(N){return this.mul(N,N)},H.prototype.sqrt=function(N){if(N.isZero())return N.clone();var W=this.m.andln(3);if(u(W%2===1),W===3){var re=this.m.add(new f(1)).iushrn(2);return this.pow(N,re)}for(var ae=this.m.subn(1),_e=0;!ae.isZero()&&ae.andln(1)===0;)_e++,ae.iushrn(1);u(!ae.isZero());var Me=new f(1).toRed(this),ke=Me.redNeg(),ge=this.m.subn(1).iushrn(1),ie=this.m.bitLength();for(ie=new f(2*ie*ie).toRed(this);this.pow(ie,ge).cmp(ke)!==0;)ie.redIAdd(ke);for(var Te=this.pow(ie,ae),Ee=this.pow(N,ae.addn(1).iushrn(1)),Ae=this.pow(N,ae),ze=_e;Ae.cmp(Me)!==0;){for(var Ce=Ae,me=0;Ce.cmp(Me)!==0;me++)Ce=Ce.redSqr();u(me<ze);var Re=this.pow(Te,new f(1).iushln(ze-me-1));Ee=Ee.redMul(Re),Te=Re.redSqr(),Ae=Ae.redMul(Te),ze=me}return Ee},H.prototype.invm=function(N){var W=N._invmp(this.m);return W.negative!==0?(W.negative=0,this.imod(W).redNeg()):this.imod(W)},H.prototype.pow=function(N,W){if(W.isZero())return new f(1).toRed(this);if(W.cmpn(1)===0)return N.clone();var re=4,ae=new Array(1<<re);ae[0]=new f(1).toRed(this),ae[1]=N;for(var _e=2;_e<ae.length;_e++)ae[_e]=this.mul(ae[_e-1],N);var Me=ae[0],ke=0,ge=0,ie=W.bitLength()%26;for(ie===0&&(ie=26),_e=W.length-1;_e>=0;_e--){for(var Te=W.words[_e],Ee=ie-1;Ee>=0;Ee--){var Ae=Te>>Ee&1;if(Me!==ae[0]&&(Me=this.sqr(Me)),Ae===0&&ke===0){ge=0;continue}ke<<=1,ke|=Ae,ge++,!(ge!==re&&(_e!==0||Ee!==0))&&(Me=this.mul(Me,ae[ke]),ge=0,ke=0)}ie=26}return Me},H.prototype.convertTo=function(N){var W=N.umod(this.m);return W===N?W.clone():W},H.prototype.convertFrom=function(N){var W=N.clone();return W.red=null,W},f.mont=function(N){return new X(N)};function X(G){H.call(this,G),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new f(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}c(X,H),X.prototype.convertTo=function(N){return this.imod(N.ushln(this.shift))},X.prototype.convertFrom=function(N){var W=this.imod(N.mul(this.rinv));return W.red=null,W},X.prototype.imul=function(N,W){if(N.isZero()||W.isZero())return N.words[0]=0,N.length=1,N;var re=N.imul(W),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Me=_e;return _e.cmp(this.m)>=0?Me=_e.isub(this.m):_e.cmpn(0)<0&&(Me=_e.iadd(this.m)),Me._forceRed(this)},X.prototype.mul=function(N,W){if(N.isZero()||W.isZero())return new f(0)._forceRed(this);var re=N.mul(W),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Me=_e;return _e.cmp(this.m)>=0?Me=_e.isub(this.m):_e.cmpn(0)<0&&(Me=_e.iadd(this.m)),Me._forceRed(this)},X.prototype.invm=function(N){var W=this.imod(N._invmp(this.m).mul(this.r2));return W._forceRed(this)}}(i,this)},6204:function(i){\"use strict\";i.exports=a;function a(o){var s,l,u,c=o.length,f=0;for(s=0;s<c;++s)f+=o[s].length;var h=new Array(f),d=0;for(s=0;s<c;++s){var v=o[s],x=v.length;for(l=0;l<x;++l){var b=h[d++]=new Array(x-1),g=0;for(u=0;u<x;++u)u!==l&&(b[g++]=v[u]);if(l&1){var E=b[1];b[1]=b[0],b[0]=E}}}return h}},6867:function(i,a,o){\"use strict\";i.exports=g;var s=o(1888),l=o(855),u=o(7150);function c(E,k){for(var A=0;A<E;++A)if(!(k[A]<=k[A+E]))return!0;return!1}function f(E,k,A,L){for(var _=0,C=0,M=0,p=E.length;M<p;++M){var P=E[M];if(!c(k,P)){for(var T=0;T<2*k;++T)A[_++]=P[T];L[C++]=M}}return C}function h(E,k,A,L){var _=E.length,C=k.length;if(!(_<=0||C<=0)){var M=E[0].length>>>1;if(!(M<=0)){var p,P=s.mallocDouble(2*M*_),T=s.mallocInt32(_);if(_=f(E,M,P,T),_>0){if(M===1&&L)l.init(_),p=l.sweepComplete(M,A,0,_,P,T,0,_,P,T);else{var F=s.mallocDouble(2*M*C),q=s.mallocInt32(C);C=f(k,M,F,q),C>0&&(l.init(_+C),M===1?p=l.sweepBipartite(M,A,0,_,P,T,0,C,F,q):p=u(M,A,L,_,P,T,C,F,q),s.free(F),s.free(q))}s.free(P),s.free(T)}return p}}}var d;function v(E,k){d.push([E,k])}function x(E){return d=[],h(E,E,v,!0),d}function b(E,k){return d=[],h(E,k,v,!1),d}function g(E,k,A){switch(arguments.length){case 1:return x(E);case 2:return typeof k==\"function\"?h(E,E,k,!0):b(E,k);case 3:return h(E,k,A,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}}},2455:function(i,a){\"use strict\";function o(){function u(h,d,v,x,b,g,E,k,A,L,_){for(var C=2*h,M=x,p=C*x;M<b;++M,p+=C){var P=g[d+p],T=g[d+p+h],F=E[M];e:for(var q=k,V=C*k;q<A;++q,V+=C){var H=L[d+V],X=L[d+V+h],G=_[q];if(!(X<P||T<H)){for(var N=d+1;N<h;++N){var W=g[N+p],re=g[N+h+p],ae=L[N+V],_e=L[N+h+V];if(re<ae||_e<W)continue e}var 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re=k[W+T],ae=k[W+v+T],_e=C[W+X],Me=C[W+v+X];if(ae<_e||Me<re)continue e}var ke=b(V,N);if(ke!==void 0)return ke}}}}function f(v,x,b,g,E,k,A,L,_,C,M){for(var p=2*v,P=L,T=p*L;P<_;++P,T+=p){var F=C[x+T],q=M[P];e:for(var V=g,H=p*g;V<E;++V,H+=p){var X=k[x+H],G=k[x+H+v],N=A[V];if(!(F<=X||G<F)){for(var W=x+1;W<v;++W){var re=k[W+H],ae=k[W+v+H],_e=C[W+T],Me=C[W+v+T];if(ae<_e||Me<re)continue e}var ke=b(q,N);if(ke!==void 0)return ke}}}}function h(v,x,b,g,E,k,A,L,_,C,M){for(var p=2*v,P=L,T=p*L;P<_;++P,T+=p){var F=C[x+T],q=M[P];e:for(var V=g,H=p*g;V<E;++V,H+=p){var X=k[x+H],G=k[x+H+v],N=A[V];if(!(F<X||G<F)){for(var W=x+1;W<v;++W){var re=k[W+H],ae=k[W+v+H],_e=C[W+T],Me=C[W+v+T];if(ae<_e||Me<re)continue e}var ke=b(N,q);if(ke!==void 0)return ke}}}}function d(v,x,b,g,E,k,A,L,_,C,M,p){return k-E>C-_?g?u(v,x,b,E,k,A,L,_,C,M,p):c(v,x,b,E,k,A,L,_,C,M,p):g?f(v,x,b,E,k,A,L,_,C,M,p):h(v,x,b,E,k,A,L,_,C,M,p)}return d}function l(u){return u?o():s()}a.partial=l(!1),a.full=l(!0)},7150:function(i,a,o){\"use 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ot}}}function X(N,W,re,ae,_e,Me,ke,ge,ie,Te){var Ee=2*N,Ae=ge*Ee,ze=ie[Ae+W];e:for(var Ce=ae,me=ae*Ee;Ce<_e;++Ce,me+=Ee){var Re=ke[Ce];if(Re!==Te){var ce=Me[me+W],Ge=Me[me+W+N];if(!(ze<ce||Ge<ze)){for(var nt=W+1;nt<N;++nt){var ce=Me[me+nt],Ge=Me[me+nt+N],ct=ie[Ae+nt],qt=ie[Ae+nt+N];if(Ge<ct||qt<ce)continue e}var rt=re(Re,Te);if(rt!==void 0)return rt}}}}function G(N,W,re,ae,_e,Me,ke,ge,ie){q(N,ae+ke);var Te=0,Ee=2*N,Ae;for(V(Te++,0,0,ae,0,ke,re?16:0,-1/0,1/0),re||V(Te++,0,0,ke,0,ae,1,-1/0,1/0);Te>0;){Te-=1;var ze=Te*M,Ce=T[ze],me=T[ze+1],Re=T[ze+2],ce=T[ze+3],Ge=T[ze+4],nt=T[ze+5],ct=Te*p,qt=F[ct],rt=F[ct+1],ot=nt&1,Rt=!!(nt&16),kt=_e,Ct=Me,Yt=ge,xr=ie;if(ot&&(kt=ge,Ct=ie,Yt=_e,xr=Me),!(nt&2&&(Re=A(N,Ce,me,Re,kt,Ct,rt),me>=Re))&&!(nt&4&&(me=L(N,Ce,me,Re,kt,Ct,qt),me>=Re))){var er=Re-me,Ke=Ge-ce;if(Rt){if(N*er*(er+Ke)<g){if(Ae=h.scanComplete(N,Ce,W,me,Re,kt,Ct,ce,Ge,Yt,xr),Ae!==void 0)return Ae;continue}}else if(N*Math.min(er,Ke)<x){if(Ae=c(N,Ce,W,ot,me,Re,kt,Ct,ce,Ge,Yt,xr),Ae!==void 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me=E[2*ke+1]|0,Re=me&1;if(ke<Ee-1&&me>>1===E[2*ke+3]>>1&&(Re=2,ke+=1),me<0){for(var ce=-(me>>1)-1,Ge=0;Ge<Ce;++Ge){var nt=T(b[Ge],ce);if(nt!==void 0)return nt}if(Re!==0)for(var Ge=0;Ge<Ae;++Ge){var nt=T(h[Ge],ce);if(nt!==void 0)return nt}if(Re!==1)for(var Ge=0;Ge<ze;++Ge){var nt=T(v[Ge],ce);if(nt!==void 0)return nt}Re===0?L(h,d,Ae++,ce):Re===1?L(v,x,ze++,ce):Re===2&&L(b,g,Ce++,ce)}else{var ce=(me>>1)-1;Re===0?A(h,d,Ae--,ce):Re===1?A(v,x,ze--,ce):Re===2&&A(b,g,Ce--,ce)}}}function M(P,T,F,q,V,H,X,G,N,W,re,ae){var _e=0,Me=2*P,ke=T,ge=T+P,ie=1,Te=1;q?Te=c:ie=c;for(var Ee=V;Ee<H;++Ee){var Ae=Ee+ie,ze=Me*Ee;E[_e++]=X[ze+ke],E[_e++]=-Ae,E[_e++]=X[ze+ge],E[_e++]=Ae}for(var Ee=N;Ee<W;++Ee){var Ae=Ee+Te,Ce=Me*Ee;E[_e++]=re[Ce+ke],E[_e++]=-Ae}var me=_e>>>1;u(E,me);for(var Re=0,Ee=0;Ee<me;++Ee){var ce=E[2*Ee+1]|0;if(ce<0){var Ae=-ce,Ge=!1;if(Ae>=c?(Ge=!q,Ae-=c):(Ge=!!q,Ae-=1),Ge)L(h,d,Re++,Ae);else{var nt=ae[Ae],ct=Me*Ae,qt=re[ct+T+1],rt=re[ct+T+1+P];e:for(var ot=0;ot<Re;++ot){var 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F=_[T-2];F.left===M?F.left=p:F.right=p}_[T-1]=p;return}else if(p.left&&p.left._color===a){if(p=M.right=l(p),P=p.left=l(p.left),M.right=P.left,p.left=P.right,P.left=M,P.right=p,P._color=M._color,M._color=o,p._color=o,C._color=o,c(M),c(p),c(P),T>1){var F=_[T-2];F.left===M?F.left=P:F.right=P}_[T-1]=P;return}if(p._color===o)if(M._color===a){M._color=o,M.right=u(a,p);return}else{M.right=u(a,p);continue}else{if(p=l(p),M.right=p.left,p.left=M,p._color=M._color,M._color=a,c(M),c(p),T>1){var F=_[T-2];F.left===M?F.left=p:F.right=p}_[T-1]=p,_[T]=M,T+1<_.length?_[T+1]=C:_.push(C),T=T+2}}else{if(p=M.left,p.left&&p.left._color===a){if(p=M.left=l(p),P=p.left=l(p.left),M.left=p.right,p.right=M,p.left=P,p._color=M._color,C._color=o,M._color=o,P._color=o,c(M),c(p),T>1){var F=_[T-2];F.right===M?F.right=p:F.left=p}_[T-1]=p;return}else if(p.right&&p.right._color===a){if(p=M.left=l(p),P=p.right=l(p.right),M.left=P.right,p.right=P.left,P.right=M,P.left=p,P._color=M._color,M._color=o,p._color=o,C._color=o,c(M),c(p),c(P),T>1){var F=_[T-2];F.right===M?F.right=P:F.left=P}_[T-1]=P;return}if(p._color===o)if(M._color===a){M._color=o,M.left=u(a,p);return}else{M.left=u(a,p);continue}else{if(p=l(p),M.left=p.right,p.right=M,p._color=M._color,M._color=a,c(M),c(p),T>1){var F=_[T-2];F.right===M?F.right=p:F.left=p}_[T-1]=p,_[T]=M,T+1<_.length?_[T+1]=C:_.push(C),T=T+2}}}}g.remove=function(){var _=this._stack;if(_.length===0)return this.tree;var C=new Array(_.length),M=_[_.length-1];C[C.length-1]=new s(M._color,M.key,M.value,M.left,M.right,M._count);for(var p=_.length-2;p>=0;--p){var M=_[p];M.left===_[p+1]?C[p]=new s(M._color,M.key,M.value,C[p+1],M.right,M._count):C[p]=new s(M._color,M.key,M.value,M.left,C[p+1],M._count)}if(M=C[C.length-1],M.left&&M.right){var P=C.length;for(M=M.left;M.right;)C.push(M),M=M.right;var T=C[P-1];C.push(new s(M._color,T.key,T.value,M.left,M.right,M._count)),C[P-1].key=M.key,C[P-1].value=M.value;for(var p=C.length-2;p>=P;--p)M=C[p],C[p]=new s(M._color,M.key,M.value,M.left,C[p+1],M._count);C[P-1].left=C[P]}if(M=C[C.length-1],M._color===a){var F=C[C.length-2];F.left===M?F.left=null:F.right===M&&(F.right=null),C.pop();for(var p=0;p<C.length;++p)C[p]._count--;return new f(this.tree._compare,C[0])}else if(M.left||M.right){M.left?E(M,M.left):M.right&&E(M,M.right),M._color=o;for(var p=0;p<C.length-1;++p)C[p]._count--;return new f(this.tree._compare,C[0])}else{if(C.length===1)return new f(this.tree._compare,null);for(var p=0;p<C.length;++p)C[p]._count--;var q=C[C.length-2];k(C),q.left===M?q.left=null:q.right=null}return new f(this.tree._compare,C[0])},Object.defineProperty(g,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(g,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(g,\"index\",{get:function(){var _=0,C=this._stack;if(C.length===0){var M=this.tree.root;return M?M._count:0}else C[C.length-1].left&&(_=C[C.length-1].left._count);for(var p=C.length-2;p>=0;--p)C[p+1]===C[p].right&&(++_,C[p].left&&(_+=C[p].left._count));return _},enumerable:!0}),g.next=function(){var _=this._stack;if(_.length!==0){var C=_[_.length-1];if(C.right)for(C=C.right;C;)_.push(C),C=C.left;else for(_.pop();_.length>0&&_[_.length-1].right===C;)C=_[_.length-1],_.pop()}},Object.defineProperty(g,\"hasNext\",{get:function(){var _=this._stack;if(_.length===0)return!1;if(_[_.length-1].right)return!0;for(var C=_.length-1;C>0;--C)if(_[C-1].left===_[C])return!0;return!1}}),g.update=function(_){var C=this._stack;if(C.length===0)throw new Error(\"Can't update empty node!\");var M=new Array(C.length),p=C[C.length-1];M[M.length-1]=new s(p._color,p.key,_,p.left,p.right,p._count);for(var P=C.length-2;P>=0;--P)p=C[P],p.left===C[P+1]?M[P]=new s(p._color,p.key,p.value,M[P+1],p.right,p._count):M[P]=new s(p._color,p.key,p.value,p.left,M[P+1],p._count);return new f(this.tree._compare,M[0])},g.prev=function(){var _=this._stack;if(_.length!==0){var C=_[_.length-1];if(C.left)for(C=C.left;C;)_.push(C),C=C.right;else for(_.pop();_.length>0&&_[_.length-1].left===C;)C=_[_.length-1],_.pop()}},Object.defineProperty(g,\"hasPrev\",{get:function(){var _=this._stack;if(_.length===0)return!1;if(_[_.length-1].left)return!0;for(var C=_.length-1;C>0;--C)if(_[C-1].right===_[C])return!0;return!1}});function A(_,C){return _<C?-1:_>C?1:0}function L(_){return new f(_||A,null)}},3837:function(i,a,o){\"use strict\";i.exports=q;var s=o(4935),l=o(501),u=o(5304),c=o(6429),f=o(6444),h=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=ArrayBuffer,v=DataView;function x(V){return d.isView(V)&&!(V instanceof v)}function b(V){return Array.isArray(V)||x(V)}function g(V,H){return V[0]=H[0],V[1]=H[1],V[2]=H[2],V}function E(V){this.gl=V,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=u(V)}var k=E.prototype;k.update=function(V){V=V||{};function H(Ae,ze,Ce){if(Ce in V){var me=V[Ce],Re=this[Ce],ce;(Ae?b(me)&&b(me[0]):b(me))?this[Ce]=ce=[ze(me[0]),ze(me[1]),ze(me[2])]:this[Ce]=ce=[ze(me),ze(me),ze(me)];for(var Ge=0;Ge<3;++Ge)if(ce[Ge]!==Re[Ge])return!0}return!1}var X=H.bind(this,!1,Number),G=H.bind(this,!1,Boolean),N=H.bind(this,!1,String),W=H.bind(this,!0,function(Ae){if(b(Ae)){if(Ae.length===3)return[+Ae[0],+Ae[1],+Ae[2],1];if(Ae.length===4)return[+Ae[0],+Ae[1],+Ae[2],+Ae[3]]}return[0,0,0,1]}),re,ae=!1,_e=!1;if(\"bounds\"in V)for(var Me=V.bounds,ke=0;ke<2;++ke)for(var ge=0;ge<3;++ge)Me[ke][ge]!==this.bounds[ke][ge]&&(_e=!0),this.bounds[ke][ge]=Me[ke][ge];if(\"ticks\"in V){re=V.ticks,ae=!0,this.autoTicks=!1;for(var ke=0;ke<3;++ke)this.tickSpacing[ke]=0}else X(\"tickSpacing\")&&(this.autoTicks=!0,_e=!0);if(this._firstInit&&(\"ticks\"in V||\"tickSpacing\"in V||(this.autoTicks=!0),_e=!0,ae=!0,this._firstInit=!1),_e&&this.autoTicks&&(re=f.create(this.bounds,this.tickSpacing),ae=!0),ae){for(var ke=0;ke<3;++ke)re[ke].sort(function(ze,Ce){return ze.x-Ce.x});f.equal(re,this.ticks)?ae=!1:this.ticks=re}G(\"tickEnable\"),N(\"tickFont\")&&(ae=!0),N(\"tickFontStyle\")&&(ae=!0),N(\"tickFontWeight\")&&(ae=!0),N(\"tickFontVariant\")&&(ae=!0),X(\"tickSize\"),X(\"tickAngle\"),X(\"tickPad\"),W(\"tickColor\");var ie=N(\"labels\");N(\"labelFont\")&&(ie=!0),N(\"labelFontStyle\")&&(ie=!0),N(\"labelFontWeight\")&&(ie=!0),N(\"labelFontVariant\")&&(ie=!0),G(\"labelEnable\"),X(\"labelSize\"),X(\"labelPad\"),W(\"labelColor\"),G(\"lineEnable\"),G(\"lineMirror\"),X(\"lineWidth\"),W(\"lineColor\"),G(\"lineTickEnable\"),G(\"lineTickMirror\"),X(\"lineTickLength\"),X(\"lineTickWidth\"),W(\"lineTickColor\"),G(\"gridEnable\"),X(\"gridWidth\"),W(\"gridColor\"),G(\"zeroEnable\"),W(\"zeroLineColor\"),X(\"zeroLineWidth\"),G(\"backgroundEnable\"),W(\"backgroundColor\");var Te=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],Ee=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(ie||ae)&&this._text.update(this.bounds,this.labels,Te,this.ticks,Ee):this._text=s(this.gl,this.bounds,this.labels,Te,this.ticks,Ee),this._lines&&ae&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=l(this.gl,this.bounds,this.ticks))};function A(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var L=[new A,new A,new A];function _(V,H,X,G,N){for(var W=V.primalOffset,re=V.primalMinor,ae=V.mirrorOffset,_e=V.mirrorMinor,Me=G[H],ke=0;ke<3;++ke)if(H!==ke){var ge=W,ie=ae,Te=re,Ee=_e;Me&1<<ke&&(ge=ae,ie=W,Te=_e,Ee=re),ge[ke]=X[0][ke],ie[ke]=X[1][ke],N[ke]>0?(Te[ke]=-1,Ee[ke]=0):(Te[ke]=0,Ee[ke]=1)}}var C=[0,0,0],M={model:h,view:h,projection:h,_ortho:!1};k.isOpaque=function(){return!0},k.isTransparent=function(){return!1},k.drawTransparent=function(V){};var p=0,P=[0,0,0],T=[0,0,0],F=[0,0,0];k.draw=function(V){V=V||M;for(var Ce=this.gl,H=V.model||h,X=V.view||h,G=V.projection||h,N=this.bounds,W=V._ortho||!1,re=c(H,X,G,N,W),ae=re.cubeEdges,_e=re.axis,Me=X[12],ke=X[13],ge=X[14],ie=X[15],Te=W?2:1,Ee=Te*this.pixelRatio*(G[3]*Me+G[7]*ke+G[11]*ge+G[15]*ie)/Ce.drawingBufferHeight,Ae=0;Ae<3;++Ae)this.lastCubeProps.cubeEdges[Ae]=ae[Ae],this.lastCubeProps.axis[Ae]=_e[Ae];for(var ze=L,Ae=0;Ae<3;++Ae)_(L[Ae],Ae,this.bounds,ae,_e);for(var Ce=this.gl,me=C,Ae=0;Ae<3;++Ae)this.backgroundEnable[Ae]?me[Ae]=_e[Ae]:me[Ae]=0;this._background.draw(H,X,G,N,me,this.backgroundColor),this._lines.bind(H,X,G,this);for(var Ae=0;Ae<3;++Ae){var Re=[0,0,0];_e[Ae]>0?Re[Ae]=N[1][Ae]:Re[Ae]=N[0][Ae];for(var ce=0;ce<2;++ce){var Ge=(Ae+1+ce)%3,nt=(Ae+1+(ce^1))%3;this.gridEnable[Ge]&&this._lines.drawGrid(Ge,nt,this.bounds,Re,this.gridColor[Ge],this.gridWidth[Ge]*this.pixelRatio)}for(var ce=0;ce<2;++ce){var Ge=(Ae+1+ce)%3,nt=(Ae+1+(ce^1))%3;this.zeroEnable[nt]&&Math.min(N[0][nt],N[1][nt])<=0&&Math.max(N[0][nt],N[1][nt])>=0&&this._lines.drawZero(Ge,nt,this.bounds,Re,this.zeroLineColor[nt],this.zeroLineWidth[nt]*this.pixelRatio)}}for(var Ae=0;Ae<3;++Ae){this.lineEnable[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,ze[Ae].primalOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio),this.lineMirror[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,ze[Ae].mirrorOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio);for(var ct=g(P,ze[Ae].primalMinor),qt=g(T,ze[Ae].mirrorMinor),rt=this.lineTickLength,ce=0;ce<3;++ce){var ot=Ee/H[5*ce];ct[ce]*=rt[ce]*ot,qt[ce]*=rt[ce]*ot}this.lineTickEnable[Ae]&&this._lines.drawAxisTicks(Ae,ze[Ae].primalOffset,ct,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio),this.lineTickMirror[Ae]&&this._lines.drawAxisTicks(Ae,ze[Ae].mirrorOffset,qt,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio)}this._lines.unbind(),this._text.bind(H,X,G,this.pixelRatio);var Rt,kt=.5,Ct,Yt;function xr(St){Yt=[0,0,0],Yt[St]=1}function er(St,Et,dt){var Ht=(St+1)%3,$t=(St+2)%3,fr=Et[Ht],_r=Et[$t],Br=dt[Ht],Or=dt[$t];if(fr>0&&Or>0){xr(Ht);return}else if(fr>0&&Or<0){xr(Ht);return}else if(fr<0&&Or>0){xr(Ht);return}else if(fr<0&&Or<0){xr(Ht);return}else if(_r>0&&Br>0){xr($t);return}else if(_r>0&&Br<0){xr($t);return}else if(_r<0&&Br>0){xr($t);return}else if(_r<0&&Br<0){xr($t);return}}for(var Ae=0;Ae<3;++Ae){for(var Ke=ze[Ae].primalMinor,xt=ze[Ae].mirrorMinor,bt=g(F,ze[Ae].primalOffset),ce=0;ce<3;++ce)this.lineTickEnable[Ae]&&(bt[ce]+=Ee*Ke[ce]*Math.max(this.lineTickLength[ce],0)/H[5*ce]);var Lt=[0,0,0];if(Lt[Ae]=1,this.tickEnable[Ae]){this.tickAngle[Ae]===-3600?(this.tickAngle[Ae]=0,this.tickAlign[Ae]=\"auto\"):this.tickAlign[Ae]=-1,Ct=1,Rt=[this.tickAlign[Ae],kt,Ct],Rt[0]===\"auto\"?Rt[0]=p:Rt[0]=parseInt(\"\"+Rt[0]),Yt=[0,0,0],er(Ae,Ke,xt);for(var ce=0;ce<3;++ce)bt[ce]+=Ee*Ke[ce]*this.tickPad[ce]/H[5*ce];this._text.drawTicks(Ae,this.tickSize[Ae],this.tickAngle[Ae],bt,this.tickColor[Ae],Lt,Yt,Rt)}if(this.labelEnable[Ae]){Ct=0,Yt=[0,0,0],this.labels[Ae].length>4&&(xr(Ae),Ct=1),Rt=[this.labelAlign[Ae],kt,Ct],Rt[0]===\"auto\"?Rt[0]=p:Rt[0]=parseInt(\"\"+Rt[0]);for(var ce=0;ce<3;++ce)bt[ce]+=Ee*Ke[ce]*this.labelPad[ce]/H[5*ce];bt[Ae]+=.5*(N[0][Ae]+N[1][Ae]),this._text.drawLabel(Ae,this.labelSize[Ae],this.labelAngle[Ae],bt,this.labelColor[Ae],[0,0,0],Yt,Rt)}}this._text.unbind()},k.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function q(V,H){var X=new E(V);return X.update(H),X}},5304:function(i,a,o){\"use strict\";i.exports=h;var s=o(2762),l=o(8116),u=o(1879).bg;function c(d,v,x,b){this.gl=d,this.buffer=v,this.vao=x,this.shader=b}var f=c.prototype;f.draw=function(d,v,x,b,g,E){for(var k=!1,A=0;A<3;++A)k=k||g[A];if(k){var L=this.gl;L.enable(L.POLYGON_OFFSET_FILL),L.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:d,view:v,projection:x,bounds:b,enable:g,colors:E},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),L.disable(L.POLYGON_OFFSET_FILL)}},f.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function h(d){for(var v=[],x=[],b=0,g=0;g<3;++g)for(var E=(g+1)%3,k=(g+2)%3,A=[0,0,0],L=[0,0,0],_=-1;_<=1;_+=2){x.push(b,b+2,b+1,b+1,b+2,b+3),A[g]=_,L[g]=_;for(var C=-1;C<=1;C+=2){A[E]=C;for(var M=-1;M<=1;M+=2)A[k]=M,v.push(A[0],A[1],A[2],L[0],L[1],L[2]),b+=1}var p=E;E=k,k=p}var P=s(d,new Float32Array(v)),T=s(d,new Uint16Array(x),d.ELEMENT_ARRAY_BUFFER),F=l(d,[{buffer:P,type:d.FLOAT,size:3,offset:0,stride:24},{buffer:P,type:d.FLOAT,size:3,offset:12,stride:24}],T),q=u(d);return q.attributes.position.location=0,q.attributes.normal.location=1,new c(d,P,F,q)}},6429:function(i,a,o){\"use strict\";i.exports=_;var s=o(8828),l=o(6760),u=o(5202),c=o(3250),f=new Array(16),h=new Array(8),d=new Array(8),v=new Array(3),x=[0,0,0];(function(){for(var C=0;C<8;++C)h[C]=[1,1,1,1],d[C]=[1,1,1]})();function b(C,M,p){for(var P=0;P<4;++P){C[P]=p[12+P];for(var T=0;T<3;++T)C[P]+=M[T]*p[4*T+P]}}var g=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function E(C){for(var M=0;M<g.length;++M)if(C=u.positive(C,g[M]),C.length<3)return 0;for(var p=C[0],P=p[0]/p[3],T=p[1]/p[3],F=0,M=1;M+1<C.length;++M){var q=C[M],V=C[M+1],H=q[0]/q[3],X=q[1]/q[3],G=V[0]/V[3],N=V[1]/V[3],W=H-P,re=X-T,ae=G-P,_e=N-T;F+=Math.abs(W*_e-re*ae)}return F}var k=[1,1,1],A=[0,0,0],L={cubeEdges:k,axis:A};function _(C,M,p,P,T){l(f,M,C),l(f,p,f);for(var F=0,q=0;q<2;++q){v[2]=P[q][2];for(var V=0;V<2;++V){v[1]=P[V][1];for(var H=0;H<2;++H)v[0]=P[H][0],b(h[F],v,f),F+=1}}for(var X=-1,q=0;q<8;++q){for(var G=h[q][3],N=0;N<3;++N)d[q][N]=h[q][N]/G;T&&(d[q][2]*=-1),G<0&&(X<0||d[q][2]<d[X][2])&&(X=q)}if(X<0){X=0;for(var W=0;W<3;++W){for(var re=(W+2)%3,ae=(W+1)%3,_e=-1,Me=-1,ke=0;ke<2;++ke){var ge=ke<<W,ie=ge+(ke<<re)+(1-ke<<ae),Te=ge+(1-ke<<re)+(ke<<ae);c(d[ge],d[ie],d[Te],x)<0||(ke?_e=1:Me=1)}if(_e<0||Me<0){Me>_e&&(X|=1<<W);continue}for(var ke=0;ke<2;++ke){var ge=ke<<W,ie=ge+(ke<<re)+(1-ke<<ae),Te=ge+(1-ke<<re)+(ke<<ae),Ee=E([h[ge],h[ie],h[Te],h[ge+(1<<re)+(1<<ae)]]);ke?_e=Ee:Me=Ee}if(Me>_e){X|=1<<W;continue}}}for(var Ae=7^X,ze=-1,q=0;q<8;++q)q===X||q===Ae||(ze<0||d[ze][1]>d[q][1])&&(ze=q);for(var Ce=-1,q=0;q<3;++q){var me=ze^1<<q;if(!(me===X||me===Ae)){Ce<0&&(Ce=me);var ae=d[me];ae[0]<d[Ce][0]&&(Ce=me)}}for(var Re=-1,q=0;q<3;++q){var me=ze^1<<q;if(!(me===X||me===Ae||me===Ce)){Re<0&&(Re=me);var ae=d[me];ae[0]>d[Re][0]&&(Re=me)}}var ce=k;ce[0]=ce[1]=ce[2]=0,ce[s.log2(Ce^ze)]=ze&Ce,ce[s.log2(ze^Re)]=ze&Re;var Ge=Re^7;Ge===X||Ge===Ae?(Ge=Ce^7,ce[s.log2(Re^Ge)]=Ge&Re):ce[s.log2(Ce^Ge)]=Ge&Ce;for(var nt=A,ct=X,W=0;W<3;++W)ct&1<<W?nt[W]=-1:nt[W]=1;return L}},501:function(i,a,o){\"use strict\";i.exports=k;var s=o(2762),l=o(8116),u=o(1879).n,c=[0,0,0],f=[0,0,0],h=[0,0,0],d=[0,0,0],v=[1,1];function x(A){return A[0]=A[1]=A[2]=0,A}function b(A,L){return A[0]=L[0],A[1]=L[1],A[2]=L[2],A}function g(A,L,_,C,M,p,P,T){this.gl=A,this.vertBuffer=L,this.vao=_,this.shader=C,this.tickCount=M,this.tickOffset=p,this.gridCount=P,this.gridOffset=T}var E=g.prototype;E.bind=function(A,L,_){this.shader.bind(),this.shader.uniforms.model=A,this.shader.uniforms.view=L,this.shader.uniforms.projection=_,v[0]=this.gl.drawingBufferWidth,v[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=v,this.vao.bind()},E.unbind=function(){this.vao.unbind()},E.drawAxisLine=function(A,L,_,C,M){var p=x(f);this.shader.uniforms.majorAxis=f,p[A]=L[1][A]-L[0][A],this.shader.uniforms.minorAxis=p;var P=b(d,_);P[A]+=L[0][A],this.shader.uniforms.offset=P,this.shader.uniforms.lineWidth=M,this.shader.uniforms.color=C;var T=x(h);T[(A+2)%3]=1,this.shader.uniforms.screenAxis=T,this.vao.draw(this.gl.TRIANGLES,6);var T=x(h);T[(A+1)%3]=1,this.shader.uniforms.screenAxis=T,this.vao.draw(this.gl.TRIANGLES,6)},E.drawAxisTicks=function(A,L,_,C,M){if(this.tickCount[A]){var p=x(c);p[A]=1,this.shader.uniforms.majorAxis=p,this.shader.uniforms.offset=L,this.shader.uniforms.minorAxis=_,this.shader.uniforms.color=C,this.shader.uniforms.lineWidth=M;var P=x(h);P[A]=1,this.shader.uniforms.screenAxis=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[A],this.tickOffset[A])}},E.drawGrid=function(A,L,_,C,M,p){if(this.gridCount[A]){var P=x(f);P[L]=_[1][L]-_[0][L],this.shader.uniforms.minorAxis=P;var T=b(d,C);T[L]+=_[0][L],this.shader.uniforms.offset=T;var F=x(c);F[A]=1,this.shader.uniforms.majorAxis=F;var q=x(h);q[A]=1,this.shader.uniforms.screenAxis=q,this.shader.uniforms.lineWidth=p,this.shader.uniforms.color=M,this.vao.draw(this.gl.TRIANGLES,this.gridCount[A],this.gridOffset[A])}},E.drawZero=function(A,L,_,C,M,p){var P=x(f);this.shader.uniforms.majorAxis=P,P[A]=_[1][A]-_[0][A],this.shader.uniforms.minorAxis=P;var T=b(d,C);T[A]+=_[0][A],this.shader.uniforms.offset=T;var F=x(h);F[L]=1,this.shader.uniforms.screenAxis=F,this.shader.uniforms.lineWidth=p,this.shader.uniforms.color=M,this.vao.draw(this.gl.TRIANGLES,6)},E.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()};function k(A,L,_){var C=[],M=[0,0,0],p=[0,0,0],P=[0,0,0],T=[0,0,0];C.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var F=0;F<3;++F){for(var H=C.length/3|0,q=0;q<_[F].length;++q){var V=+_[F][q].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var G=C.length/3|0;M[F]=H,p[F]=G-H;for(var H=C.length/3|0,X=0;X<_[F].length;++X){var V=+_[F][X].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var G=C.length/3|0;P[F]=H,T[F]=G-H}var N=s(A,new Float32Array(C)),W=l(A,[{buffer:N,type:A.FLOAT,size:3,stride:0,offset:0}]),re=u(A);return re.attributes.position.location=0,new g(A,N,W,re,p,M,T,P)}},1879:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, majorAxis, minorAxis, screenAxis;\n",
+       "uniform float lineWidth;\n",
+       "uniform vec2 screenShape;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 major = position.x * majorAxis;\n",
+       "  vec3 minor = position.y * minorAxis;\n",
+       "\n",
+       "  vec3 vPosition = major + minor + offset;\n",
+       "  vec3 pPosition = project(vPosition);\n",
+       "  vec3 offset = project(vPosition + screenAxis * position.z);\n",
+       "\n",
+       "  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.n=function(x){return l(x,u,c,null,[{name:\"position\",type:\"vec3\"}])};var f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, axis, alignDir, alignOpt;\n",
+       "uniform float scale, angle, pixelScale;\n",
+       "uniform vec2 resolution;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "float computeViewAngle(vec3 a, vec3 b) {\n",
+       "  vec3 A = project(a);\n",
+       "  vec3 B = project(b);\n",
+       "\n",
+       "  return atan(\n",
+       "    (B.y - A.y) * resolution.y,\n",
+       "    (B.x - A.x) * resolution.x\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "const float PI = 3.141592;\n",
+       "const float TWO_PI = 2.0 * PI;\n",
+       "const float HALF_PI = 0.5 * PI;\n",
+       "const float ONE_AND_HALF_PI = 1.5 * PI;\n",
+       "\n",
+       "int option = int(floor(alignOpt.x + 0.001));\n",
+       "float hv_ratio =       alignOpt.y;\n",
+       "bool enableAlign =    (alignOpt.z != 0.0);\n",
+       "\n",
+       "float mod_angle(float a) {\n",
+       "  return mod(a, PI);\n",
+       "}\n",
+       "\n",
+       "float positive_angle(float a) {\n",
+       "  return mod_angle((a < 0.0) ?\n",
+       "    a + TWO_PI :\n",
+       "    a\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "float look_upwards(float a) {\n",
+       "  float b = positive_angle(a);\n",
+       "  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n",
+       "    b - PI :\n",
+       "    b;\n",
+       "}\n",
+       "\n",
+       "float look_horizontal_or_vertical(float a, float ratio) {\n",
+       "  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n",
+       "  // if ratio is set to 0.5 then it is 50%, 50%.\n",
+       "  // when using a higher ratio e.g. 0.75 the result would\n",
+       "  // likely be more horizontal than vertical.\n",
+       "\n",
+       "  float b = positive_angle(a);\n",
+       "\n",
+       "  return\n",
+       "    (b < (      ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n",
+       "    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n",
+       "                                    0.0;\n",
+       "}\n",
+       "\n",
+       "float roundTo(float a, float b) {\n",
+       "  return float(b * floor((a + 0.5 * b) / b));\n",
+       "}\n",
+       "\n",
+       "float look_round_n_directions(float a, int n) {\n",
+       "  float b = positive_angle(a);\n",
+       "  float div = TWO_PI / float(n);\n",
+       "  float c = roundTo(b, div);\n",
+       "  return look_upwards(c);\n",
+       "}\n",
+       "\n",
+       "float applyAlignOption(float rawAngle, float delta) {\n",
+       "  return\n",
+       "    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n",
+       "    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n",
+       "    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n",
+       "    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n",
+       "    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n",
+       "                    rawAngle;                // otherwise return back raw input angle\n",
+       "}\n",
+       "\n",
+       "bool isAxisTitle = (axis.x == 0.0) &&\n",
+       "                   (axis.y == 0.0) &&\n",
+       "                   (axis.z == 0.0);\n",
+       "\n",
+       "void main() {\n",
+       "  //Compute world offset\n",
+       "  float axisDistance = position.z;\n",
+       "  vec3 dataPosition = axisDistance * axis + offset;\n",
+       "\n",
+       "  float beta = angle; // i.e. user defined attributes for each tick\n",
+       "\n",
+       "  float axisAngle;\n",
+       "  float clipAngle;\n",
+       "  float flip;\n",
+       "\n",
+       "  if (enableAlign) {\n",
+       "    axisAngle = (isAxisTitle) ? HALF_PI :\n",
+       "                      computeViewAngle(dataPosition, dataPosition + axis);\n",
+       "    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n",
+       "\n",
+       "    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n",
+       "    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n",
+       "\n",
+       "    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n",
+       "                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n",
+       "\n",
+       "    beta += applyAlignOption(clipAngle, flip * PI);\n",
+       "  }\n",
+       "\n",
+       "  //Compute plane offset\n",
+       "  vec2 planeCoord = position.xy * pixelScale;\n",
+       "\n",
+       "  mat2 planeXform = scale * mat2(\n",
+       "     cos(beta), sin(beta),\n",
+       "    -sin(beta), cos(beta)\n",
+       "  );\n",
+       "\n",
+       "  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n",
+       "\n",
+       "  //Compute clip position\n",
+       "  vec3 clipPosition = project(dataPosition);\n",
+       "\n",
+       "  //Apply text offset in clip coordinates\n",
+       "  clipPosition += vec3(viewOffset, 0.0);\n",
+       "\n",
+       "  //Done\n",
+       "  gl_Position = vec4(clipPosition, 1.0);\n",
+       "}\n",
+       "`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.Q=function(x){return l(x,f,h,null,[{name:\"position\",type:\"vec3\"}])};var d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 enable;\n",
+       "uniform vec3 bounds[2];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "\n",
+       "  vec3 signAxis = sign(bounds[1] - bounds[0]);\n",
+       "\n",
+       "  vec3 realNormal = signAxis * normal;\n",
+       "\n",
+       "  if(dot(realNormal, enable) > 0.0) {\n",
+       "    vec3 minRange = min(bounds[0], bounds[1]);\n",
+       "    vec3 maxRange = max(bounds[0], bounds[1]);\n",
+       "    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n",
+       "    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\n",
+       "  } else {\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  }\n",
+       "\n",
+       "  colorChannel = abs(realNormal);\n",
+       "}\n",
+       "`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 colors[3];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = colorChannel.x * colors[0] +\n",
+       "                 colorChannel.y * colors[1] +\n",
+       "                 colorChannel.z * colors[2];\n",
+       "}`]);a.bg=function(x){return l(x,d,v,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(i,a,o){\"use strict\";i.exports=E;var s=o(2762),l=o(8116),u=o(4359),c=o(1879).Q,f=window||process.global||{},h=f.__TEXT_CACHE||{};f.__TEXT_CACHE={};var d=3;function v(k,A,L,_){this.gl=k,this.shader=A,this.buffer=L,this.vao=_,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var x=v.prototype,b=[0,0];x.bind=function(k,A,L,_){this.vao.bind(),this.shader.bind();var C=this.shader.uniforms;C.model=k,C.view=A,C.projection=L,C.pixelScale=_,b[0]=this.gl.drawingBufferWidth,b[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=b},x.unbind=function(){this.vao.unbind()},x.update=function(k,A,L,_,C){var M=[];function p(W,re,ae,_e,Me,ke){var ge=[ae.style,ae.weight,ae.variant,ae.family].join(\"_\"),ie=h[ge];ie||(ie=h[ge]={});var Te=ie[re];Te||(Te=ie[re]=g(re,{triangles:!0,font:ae.family,fontStyle:ae.style,fontWeight:ae.weight,fontVariant:ae.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:Me,styletags:ke}));for(var Ee=(_e||12)/12,Ae=Te.positions,ze=Te.cells,Ce=0,me=ze.length;Ce<me;++Ce)for(var Re=ze[Ce],ce=2;ce>=0;--ce){var Ge=Ae[Re[ce]];M.push(Ee*Ge[0],-Ee*Ge[1],W)}}for(var P=[0,0,0],T=[0,0,0],F=[0,0,0],q=[0,0,0],V=1.25,H={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},X=0;X<3;++X){F[X]=M.length/d|0,p(.5*(k[0][X]+k[1][X]),A[X],L[X],12,V,H),q[X]=(M.length/d|0)-F[X],P[X]=M.length/d|0;for(var G=0;G<_[X].length;++G)if(_[X][G].text){var N={family:_[X][G].font||C[X].family,style:C[X].fontStyle||C[X].style,weight:C[X].fontWeight||C[X].weight,variant:C[X].fontVariant||C[X].variant};p(_[X][G].x,_[X][G].text,N,_[X][G].fontSize||12,V,H)}T[X]=(M.length/d|0)-P[X]}this.buffer.update(M),this.tickOffset=P,this.tickCount=T,this.labelOffset=F,this.labelCount=q},x.drawTicks=function(k,A,L,_,C,M,p,P){this.tickCount[k]&&(this.shader.uniforms.axis=M,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=A,this.shader.uniforms.offset=_,this.shader.uniforms.alignDir=p,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[k],this.tickOffset[k]))},x.drawLabel=function(k,A,L,_,C,M,p,P){this.labelCount[k]&&(this.shader.uniforms.axis=M,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=A,this.shader.uniforms.offset=_,this.shader.uniforms.alignDir=p,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.labelCount[k],this.labelOffset[k]))},x.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()};function g(k,A){try{return u(k,A)}catch(L){return console.warn('error vectorizing text:\"'+k+'\" error:',L),{cells:[],positions:[]}}}function E(k,A,L,_,C,M){var p=s(k),P=l(k,[{buffer:p,size:3}]),T=c(k);T.attributes.position.location=0;var F=new v(k,T,p,P);return F.update(A,L,_,C,M),F}},6444:function(i,a){\"use strict\";a.create=s,a.equal=l;function o(u,c){var f=u+\"\",h=f.indexOf(\".\"),d=0;h>=0&&(d=f.length-h-1);var v=Math.pow(10,d),x=Math.round(u*c*v),b=x+\"\";if(b.indexOf(\"e\")>=0)return b;var g=x/v,E=x%v;x<0?(g=-Math.ceil(g)|0,E=-E|0):(g=Math.floor(g)|0,E=E|0);var k=\"\"+g;if(x<0&&(k=\"-\"+k),d){for(var A=\"\"+E;A.length<d;)A=\"0\"+A;return k+\".\"+A}else return k}function s(u,c){for(var f=[],h=0;h<3;++h){for(var d=[],v=.5*(u[0][h]+u[1][h]),x=0;x*c[h]<=u[1][h];++x)d.push({x:x*c[h],text:o(c[h],x)});for(var x=-1;x*c[h]>=u[0][h];--x)d.push({x:x*c[h],text:o(c[h],x)});f.push(d)}return f}function l(u,c){for(var f=0;f<3;++f){if(u[f].length!==c[f].length)return!1;for(var h=0;h<u[f].length;++h){var d=u[f][h],v=c[f][h];if(d.x!==v.x||d.text!==v.text||d.font!==v.font||d.fontColor!==v.fontColor||d.fontSize!==v.fontSize||d.dx!==v.dx||d.dy!==v.dy)return!1}}return!0}},5445:function(i,a,o){\"use strict\";i.exports=L;var s=o(5033),l=o(5202),u=o(6429),c=o(6760),f=o(5665),h=o(5352),d=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),v=new Float32Array(16);function x(_,C,M){this.lo=_,this.hi=C,this.pixelsPerDataUnit=M}var b=[0,0,0,1],g=[0,0,0,1];function E(_,C,M,p,P){for(var T=0;T<3;++T){for(var F=b,q=g,V=0;V<3;++V)q[V]=F[V]=M[V];q[3]=F[3]=1,q[T]+=1,h(q,q,C),q[3]<0&&(_[T]=1/0),F[T]-=1,h(F,F,C),F[3]<0&&(_[T]=1/0);var H=(F[0]/F[3]-q[0]/q[3])*p,X=(F[1]/F[3]-q[1]/q[3])*P;_[T]=.25*Math.sqrt(H*H+X*X)}return _}var k=[new x(1/0,-1/0,1/0),new x(1/0,-1/0,1/0),new x(1/0,-1/0,1/0)],A=[0,0,0];function L(_,C,M,p,X){var T=C.model||d,F=C.view||d,q=C.projection||d,V=C._ortho||!1,H=_.bounds,X=X||u(T,F,q,H,V),G=X.axis;c(v,F,T),c(v,q,v);for(var N=k,W=0;W<3;++W)N[W].lo=1/0,N[W].hi=-1/0,N[W].pixelsPerDataUnit=1/0;var re=s(f(v,v));f(v,v);for(var ae=0;ae<3;++ae){var _e=(ae+1)%3,Me=(ae+2)%3,ke=A;e:for(var W=0;W<2;++W){var ge=[];if(G[ae]<0!=!!W){ke[ae]=H[W][ae];for(var ie=0;ie<2;++ie){ke[_e]=H[ie^W][_e];for(var Te=0;Te<2;++Te)ke[Me]=H[Te^ie^W][Me],ge.push(ke.slice())}for(var Ee=V?5:4,ie=Ee;ie===Ee;++ie){if(ge.length===0)continue e;ge=l.positive(ge,re[ie])}for(var ie=0;ie<ge.length;++ie)for(var Me=ge[ie],Ae=E(A,v,Me,M,p),Te=0;Te<3;++Te)N[Te].lo=Math.min(N[Te].lo,Me[Te]),N[Te].hi=Math.max(N[Te].hi,Me[Te]),Te!==ae&&(N[Te].pixelsPerDataUnit=Math.min(N[Te].pixelsPerDataUnit,Math.abs(Ae[Te])))}}}return N}},2762:function(i,a,o){\"use strict\";var s=o(1888),l=o(5298),u=o(9618),c=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function f(g,E,k,A,L){this.gl=g,this.type=E,this.handle=k,this.length=A,this.usage=L}var h=f.prototype;h.bind=function(){this.gl.bindBuffer(this.type,this.handle)},h.unbind=function(){this.gl.bindBuffer(this.type,null)},h.dispose=function(){this.gl.deleteBuffer(this.handle)};function d(g,E,k,A,L,_){var C=L.length*L.BYTES_PER_ELEMENT;if(_<0)return g.bufferData(E,L,A),C;if(C+_>k)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return g.bufferSubData(E,_,L),k}function v(g,E){for(var k=s.malloc(g.length,E),A=g.length,L=0;L<A;++L)k[L]=g[L];return k}function x(g,E){for(var k=1,A=E.length-1;A>=0;--A){if(E[A]!==k)return!1;k*=g[A]}return!0}h.update=function(g,E){if(typeof E!=\"number\"&&(E=-1),this.bind(),typeof g==\"object\"&&typeof g.shape!=\"undefined\"){var k=g.dtype;if(c.indexOf(k)<0&&(k=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var A=gl.getExtension(\"OES_element_index_uint\");A&&k!==\"uint16\"?k=\"uint32\":k=\"uint16\"}if(k===g.dtype&&x(g.shape,g.stride))g.offset===0&&g.data.length===g.shape[0]?this.length=d(this.gl,this.type,this.length,this.usage,g.data,E):this.length=d(this.gl,this.type,this.length,this.usage,g.data.subarray(g.offset,g.shape[0]),E);else{var L=s.malloc(g.size,k),_=u(L,g.shape);l.assign(_,g),E<0?this.length=d(this.gl,this.type,this.length,this.usage,L,E):this.length=d(this.gl,this.type,this.length,this.usage,L.subarray(0,g.size),E),s.free(L)}}else if(Array.isArray(g)){var C;this.type===this.gl.ELEMENT_ARRAY_BUFFER?C=v(g,\"uint16\"):C=v(g,\"float32\"),E<0?this.length=d(this.gl,this.type,this.length,this.usage,C,E):this.length=d(this.gl,this.type,this.length,this.usage,C.subarray(0,g.length),E),s.free(C)}else if(typeof g==\"object\"&&typeof g.length==\"number\")this.length=d(this.gl,this.type,this.length,this.usage,g,E);else if(typeof g==\"number\"||g===void 0){if(E>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");g=g|0,g<=0&&(g=1),this.gl.bufferData(this.type,g|0,this.usage),this.length=g}else throw new Error(\"gl-buffer: Invalid data type\")};function b(g,E,k,A){if(k=k||g.ARRAY_BUFFER,A=A||g.DYNAMIC_DRAW,k!==g.ARRAY_BUFFER&&k!==g.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(A!==g.DYNAMIC_DRAW&&A!==g.STATIC_DRAW&&A!==g.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var L=g.createBuffer(),_=new f(g,k,L,0,A);return _.update(E),_}i.exports=b},6405:function(i,a,o){\"use strict\";var s=o(2931);i.exports=function(u,c){var f=u.positions,h=u.vectors,d={positions:[],vertexIntensity:[],vertexIntensityBounds:u.vertexIntensityBounds,vectors:[],cells:[],coneOffset:u.coneOffset,colormap:u.colormap};if(u.positions.length===0)return c&&(c[0]=[0,0,0],c[1]=[0,0,0]),d;for(var v=0,x=1/0,b=-1/0,g=1/0,E=-1/0,k=1/0,A=-1/0,L=null,_=null,C=[],M=1/0,p=!1,P=u.coneSizemode===\"raw\",T=0;T<f.length;T++){var F=f[T];x=Math.min(F[0],x),b=Math.max(F[0],b),g=Math.min(F[1],g),E=Math.max(F[1],E),k=Math.min(F[2],k),A=Math.max(F[2],A);var q=h[T];if(s.length(q)>v&&(v=s.length(q)),T&&!P){var V=2*s.distance(L,F)/(s.length(_)+s.length(q));V?(M=Math.min(M,V),p=!1):p=!0}p||(L=F,_=q),C.push(q)}var H=[x,g,k],X=[b,E,A];c&&(c[0]=H,c[1]=X),v===0&&(v=1);var G=1/v;isFinite(M)||(M=1),d.vectorScale=M;var N=u.coneSize||(P?1:.5);u.absoluteConeSize&&(N=u.absoluteConeSize*G),d.coneScale=N;for(var T=0,W=0;T<f.length;T++)for(var F=f[T],re=F[0],ae=F[1],_e=F[2],Me=C[T],ke=s.length(Me)*G,ge=0,ie=8;ge<ie;ge++){d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vertexIntensity.push(ke,ke,ke),d.vertexIntensity.push(ke,ke,ke);var Te=d.positions.length;d.cells.push([Te-6,Te-5,Te-4],[Te-3,Te-2,Te-1])}return d};var l=o(614);i.exports.createMesh=o(9060),i.exports.createConeMesh=function(u,c){return i.exports.createMesh(u,c,{shaders:l,traceType:\"cone\"})}},9060:function(i,a,o){\"use strict\";var s=o(9405),l=o(2762),u=o(8116),c=o(7766),f=o(6760),h=o(7608),d=o(9618),v=o(6729),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function b(C,M,p,P,T,F,q,V,H,X,G){this.gl=C,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=M,this.dirty=!0,this.triShader=p,this.pickShader=P,this.trianglePositions=T,this.triangleVectors=F,this.triangleColors=V,this.triangleUVs=H,this.triangleIds=q,this.triangleVAO=X,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=G,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=x,this._view=x,this._projection=x,this._resolution=[1,1]}var g=b.prototype;g.isOpaque=function(){return this.opacity>=1},g.isTransparent=function(){return this.opacity<1},g.pickSlots=1,g.setPickBase=function(C){this.pickId=C};function E(C){for(var M=v({colormap:C,nshades:256,format:\"rgba\"}),p=new Uint8Array(256*4),P=0;P<256;++P){for(var T=M[P],F=0;F<3;++F)p[4*P+F]=T[F];p[4*P+3]=T[3]*255}return d(p,[256,256,4],[4,0,1])}function k(C){for(var M=C.length,p=new Array(M),P=0;P<M;++P)p[P]=C[P][2];return p}g.update=function(C){C=C||{};var M=this.gl;this.dirty=!0,\"lightPosition\"in C&&(this.lightPosition=C.lightPosition),\"opacity\"in C&&(this.opacity=C.opacity),\"ambient\"in C&&(this.ambientLight=C.ambient),\"diffuse\"in C&&(this.diffuseLight=C.diffuse),\"specular\"in C&&(this.specularLight=C.specular),\"roughness\"in C&&(this.roughness=C.roughness),\"fresnel\"in C&&(this.fresnel=C.fresnel),C.tubeScale!==void 0&&(this.tubeScale=C.tubeScale),C.vectorScale!==void 0&&(this.vectorScale=C.vectorScale),C.coneScale!==void 0&&(this.coneScale=C.coneScale),C.coneOffset!==void 0&&(this.coneOffset=C.coneOffset),C.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=M.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=M.LINEAR,this.texture.setPixels(E(C.colormap)),this.texture.generateMipmap());var p=C.cells,P=C.positions,T=C.vectors;if(!(!P||!p||!T)){var F=[],q=[],V=[],H=[],X=[];this.cells=p,this.positions=P,this.vectors=T;var G=C.meshColor||[1,1,1,1],N=C.vertexIntensity,W=1/0,re=-1/0;if(N)if(C.vertexIntensityBounds)W=+C.vertexIntensityBounds[0],re=+C.vertexIntensityBounds[1];else for(var ae=0;ae<N.length;++ae){var _e=N[ae];W=Math.min(W,_e),re=Math.max(re,_e)}else for(var ae=0;ae<P.length;++ae){var _e=P[ae][2];W=Math.min(W,_e),re=Math.max(re,_e)}N?this.intensity=N:this.intensity=k(P),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var ae=0;ae<P.length;++ae)for(var Me=P[ae],ke=0;ke<3;++ke)isNaN(Me[ke])||!isFinite(Me[ke])||(this.bounds[0][ke]=Math.min(this.bounds[0][ke],Me[ke]),this.bounds[1][ke]=Math.max(this.bounds[1][ke],Me[ke]));var ge=0;e:for(var ae=0;ae<p.length;++ae){var ie=p[ae];switch(ie.length){case 3:for(var ke=0;ke<3;++ke)for(var Te=ie[ke],Me=P[Te],Ee=0;Ee<3;++Ee)if(isNaN(Me[Ee])||!isFinite(Me[Ee]))continue e;for(var ke=0;ke<3;++ke){var Te=ie[2-ke],Me=P[Te];F.push(Me[0],Me[1],Me[2],Me[3]);var Ae=T[Te];q.push(Ae[0],Ae[1],Ae[2],Ae[3]||0);var ze=G;ze.length===3?V.push(ze[0],ze[1],ze[2],1):V.push(ze[0],ze[1],ze[2],ze[3]);var Ce;N?Ce=[(N[Te]-W)/(re-W),0]:Ce=[(Me[2]-W)/(re-W),0],H.push(Ce[0],Ce[1]),X.push(ae)}ge+=1;break;default:break}}this.triangleCount=ge,this.trianglePositions.update(F),this.triangleVectors.update(q),this.triangleColors.update(V),this.triangleUVs.update(H),this.triangleIds.update(new Uint32Array(X))}},g.drawTransparent=g.draw=function(C){C=C||{};for(var M=this.gl,p=C.model||x,P=C.view||x,T=C.projection||x,F=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)F[0][q]=Math.max(F[0][q],this.clipBounds[0][q]),F[1][q]=Math.min(F[1][q],this.clipBounds[1][q]);var V={model:p,view:P,projection:T,inverseModel:x.slice(),clipBounds:F,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};V.inverseModel=h(V.inverseModel,V.model),M.disable(M.CULL_FACE),this.texture.bind(0);var H=new Array(16);f(H,V.view,V.model),f(H,V.projection,H),h(H,H);for(var q=0;q<3;++q)V.eyePosition[q]=H[12+q]/H[15];for(var X=H[15],q=0;q<3;++q)X+=this.lightPosition[q]*H[4*q+3];for(var q=0;q<3;++q){for(var G=H[12+q],N=0;N<3;++N)G+=H[4*N+q]*this.lightPosition[N];V.lightPosition[q]=G/X}if(this.triangleCount>0){var W=this.triShader;W.bind(),W.uniforms=V,this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},g.drawPick=function(C){C=C||{};for(var M=this.gl,p=C.model||x,P=C.view||x,T=C.projection||x,F=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)F[0][q]=Math.max(F[0][q],this.clipBounds[0][q]),F[1][q]=Math.min(F[1][q],this.clipBounds[1][q]);this._model=[].slice.call(p),this._view=[].slice.call(P),this._projection=[].slice.call(T),this._resolution=[M.drawingBufferWidth,M.drawingBufferHeight];var V={model:p,view:P,projection:T,clipBounds:F,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},H=this.pickShader;H.bind(),H.uniforms=V,this.triangleCount>0&&(this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},g.pick=function(C){if(!C||C.id!==this.pickId)return null;var M=C.value[0]+256*C.value[1]+65536*C.value[2],p=this.cells[M],P=this.positions[p[1]].slice(0,3),T={position:P,dataCoordinate:P,index:Math.floor(p[1]/48)};return this.traceType===\"cone\"?T.index=Math.floor(p[1]/48):this.traceType===\"streamtube\"&&(T.intensity=this.intensity[p[1]],T.velocity=this.vectors[p[1]].slice(0,3),T.divergence=this.vectors[p[1]][3],T.index=M),T},g.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()};function A(C,M){var p=s(C,M.meshShader.vertex,M.meshShader.fragment,null,M.meshShader.attributes);return p.attributes.position.location=0,p.attributes.color.location=2,p.attributes.uv.location=3,p.attributes.vector.location=4,p}function L(C,M){var p=s(C,M.pickShader.vertex,M.pickShader.fragment,null,M.pickShader.attributes);return p.attributes.position.location=0,p.attributes.id.location=1,p.attributes.vector.location=4,p}function _(C,M,p){var P=p.shaders;arguments.length===1&&(M=C,C=M.gl);var T=A(C,P),F=L(C,P),q=c(C,d(new Uint8Array([255,255,255,255]),[1,1,4]));q.generateMipmap(),q.minFilter=C.LINEAR_MIPMAP_LINEAR,q.magFilter=C.LINEAR;var V=l(C),H=l(C),X=l(C),G=l(C),N=l(C),W=u(C,[{buffer:V,type:C.FLOAT,size:4},{buffer:N,type:C.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:X,type:C.FLOAT,size:4},{buffer:G,type:C.FLOAT,size:2},{buffer:H,type:C.FLOAT,size:4}]),re=new b(C,q,T,F,V,H,N,X,G,W,p.traceType||\"cone\");return re.update(M),re}i.exports=_},614:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec3 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * conePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(conePosition, 1.0);\n",
+       "  vec4 t_position  = view * conePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = conePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "  gl_Position = projection * (view * conePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(i){i.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(i,a,o){var s=o(737);i.exports=function(u){return s[u]}},9165:function(i,a,o){\"use strict\";i.exports=b;var s=o(2762),l=o(8116),u=o(3436),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(g,E,k,A){this.gl=g,this.shader=A,this.buffer=E,this.vao=k,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var h=f.prototype;h.isOpaque=function(){return!this.hasAlpha},h.isTransparent=function(){return this.hasAlpha},h.drawTransparent=h.draw=function(g){var E=this.gl,k=this.shader.uniforms;this.shader.bind();var A=k.view=g.view||c,L=k.projection=g.projection||c;k.model=g.model||c,k.clipBounds=this.clipBounds,k.opacity=this.opacity;var _=A[12],C=A[13],M=A[14],p=A[15],P=g._ortho||!1,T=P?2:1,F=T*this.pixelRatio*(L[3]*_+L[7]*C+L[11]*M+L[15]*p)/E.drawingBufferHeight;this.vao.bind();for(var q=0;q<3;++q)E.lineWidth(this.lineWidth[q]*this.pixelRatio),k.capSize=this.capSize[q]*F,this.lineCount[q]&&E.drawArrays(E.LINES,this.lineOffset[q],this.lineCount[q]);this.vao.unbind()};function d(g,E){for(var k=0;k<3;++k)g[0][k]=Math.min(g[0][k],E[k]),g[1][k]=Math.max(g[1][k],E[k])}var v=function(){for(var g=new Array(3),E=0;E<3;++E){for(var k=[],A=1;A<=2;++A)for(var L=-1;L<=1;L+=2){var _=(A+E)%3,C=[0,0,0];C[_]=L,k.push(C)}g[E]=k}return g}();function x(g,E,k,A){for(var L=v[A],_=0;_<L.length;++_){var C=L[_];g.push(E[0],E[1],E[2],k[0],k[1],k[2],k[3],C[0],C[1],C[2])}return L.length}h.update=function(g){g=g||{},\"lineWidth\"in g&&(this.lineWidth=g.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in g&&(this.capSize=g.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in g&&(this.opacity=+g.opacity,this.opacity<1&&(this.hasAlpha=!0));var E=g.color||[[0,0,0],[0,0,0],[0,0,0]],k=g.position,A=g.error;if(Array.isArray(E[0])||(E=[E,E,E]),k&&A){var L=[],_=k.length,C=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var M=0;M<3;++M){this.lineOffset[M]=C;e:for(var p=0;p<_;++p){for(var P=k[p],T=0;T<3;++T)if(isNaN(P[T])||!isFinite(P[T]))continue e;var F=A[p],q=E[M];if(Array.isArray(q[0])&&(q=E[p]),q.length===3?q=[q[0],q[1],q[2],1]:q.length===4&&(q=[q[0],q[1],q[2],q[3]],!this.hasAlpha&&q[3]<1&&(this.hasAlpha=!0)),!(isNaN(F[0][M])||isNaN(F[1][M]))){if(F[0][M]<0){var V=P.slice();V[M]+=F[0][M],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+x(L,V,q,M)}if(F[1][M]>0){var V=P.slice();V[M]+=F[1][M],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+x(L,V,q,M)}}}this.lineCount[M]=C-this.lineOffset[M]}this.buffer.update(L)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()};function b(g){var E=g.gl,k=s(E),A=l(E,[{buffer:k,type:E.FLOAT,size:3,offset:0,stride:40},{buffer:k,type:E.FLOAT,size:4,offset:12,stride:40},{buffer:k,type:E.FLOAT,size:3,offset:28,stride:40}]),L=u(E);L.attributes.position.location=0,L.attributes.color.location=1,L.attributes.offset.location=2;var _=new f(E,k,A,L);return _.update(g),_}},3436:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, offset;\n",
+       "attribute vec4 color;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float capSize;\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 fragPosition;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 worldPosition  = model * vec4(position, 1.0);\n",
+       "  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n",
+       "  gl_Position         = projection * (view * worldPosition);\n",
+       "  fragColor           = color;\n",
+       "  fragPosition        = position;\n",
+       "}`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float opacity;\n",
+       "varying vec3 fragPosition;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  gl_FragColor = opacity * fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(i,a,o){\"use strict\";var s=o(7766);i.exports=C;var l=null,u,c,f,h;function d(M){var p=M.getParameter(M.FRAMEBUFFER_BINDING),P=M.getParameter(M.RENDERBUFFER_BINDING),T=M.getParameter(M.TEXTURE_BINDING_2D);return[p,P,T]}function v(M,p){M.bindFramebuffer(M.FRAMEBUFFER,p[0]),M.bindRenderbuffer(M.RENDERBUFFER,p[1]),M.bindTexture(M.TEXTURE_2D,p[2])}function x(M,p){var P=M.getParameter(p.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(P+1);for(var T=0;T<=P;++T){for(var F=new Array(P),q=0;q<T;++q)F[q]=M.COLOR_ATTACHMENT0+q;for(var q=T;q<P;++q)F[q]=M.NONE;l[T]=F}}function b(M){switch(M){case u:throw new Error(\"gl-fbo: Framebuffer unsupported\");case c:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case f:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case h:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function g(M,p,P,T,F,q){if(!T)return null;var V=s(M,p,P,F,T);return V.magFilter=M.NEAREST,V.minFilter=M.NEAREST,V.mipSamples=1,V.bind(),M.framebufferTexture2D(M.FRAMEBUFFER,q,M.TEXTURE_2D,V.handle,0),V}function E(M,p,P,T,F){var q=M.createRenderbuffer();return M.bindRenderbuffer(M.RENDERBUFFER,q),M.renderbufferStorage(M.RENDERBUFFER,T,p,P),M.framebufferRenderbuffer(M.FRAMEBUFFER,F,M.RENDERBUFFER,q),q}function k(M){var p=d(M.gl),P=M.gl,T=M.handle=P.createFramebuffer(),F=M._shape[0],q=M._shape[1],V=M.color.length,H=M._ext,X=M._useStencil,G=M._useDepth,N=M._colorType;P.bindFramebuffer(P.FRAMEBUFFER,T);for(var W=0;W<V;++W)M.color[W]=g(P,F,q,N,P.RGBA,P.COLOR_ATTACHMENT0+W);V===0?(M._color_rb=E(P,F,q,P.RGBA4,P.COLOR_ATTACHMENT0),H&&H.drawBuffersWEBGL(l[0])):V>1&&H.drawBuffersWEBGL(l[V]);var re=P.getExtension(\"WEBGL_depth_texture\");re?X?M.depth=g(P,F,q,re.UNSIGNED_INT_24_8_WEBGL,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):G&&(M.depth=g(P,F,q,P.UNSIGNED_SHORT,P.DEPTH_COMPONENT,P.DEPTH_ATTACHMENT)):G&&X?M._depth_rb=E(P,F,q,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):G?M._depth_rb=E(P,F,q,P.DEPTH_COMPONENT16,P.DEPTH_ATTACHMENT):X&&(M._depth_rb=E(P,F,q,P.STENCIL_INDEX,P.STENCIL_ATTACHMENT));var ae=P.checkFramebufferStatus(P.FRAMEBUFFER);if(ae!==P.FRAMEBUFFER_COMPLETE){M._destroyed=!0,P.bindFramebuffer(P.FRAMEBUFFER,null),P.deleteFramebuffer(M.handle),M.handle=null,M.depth&&(M.depth.dispose(),M.depth=null),M._depth_rb&&(P.deleteRenderbuffer(M._depth_rb),M._depth_rb=null);for(var W=0;W<M.color.length;++W)M.color[W].dispose(),M.color[W]=null;M._color_rb&&(P.deleteRenderbuffer(M._color_rb),M._color_rb=null),v(P,p),b(ae)}v(P,p)}function A(M,p,P,T,F,q,V,H){this.gl=M,this._shape=[p|0,P|0],this._destroyed=!1,this._ext=H,this.color=new Array(F);for(var X=0;X<F;++X)this.color[X]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=T,this._useDepth=q,this._useStencil=V;var G=this,N=[p|0,P|0];Object.defineProperties(N,{0:{get:function(){return G._shape[0]},set:function(W){return G.width=W}},1:{get:function(){return G._shape[1]},set:function(W){return G.height=W}}}),this._shapeVector=N,k(this)}var L=A.prototype;function _(M,p,P){if(M._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(!(M._shape[0]===p&&M._shape[1]===P)){var T=M.gl,F=T.getParameter(T.MAX_RENDERBUFFER_SIZE);if(p<0||p>F||P<0||P>F)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");M._shape[0]=p,M._shape[1]=P;for(var q=d(T),V=0;V<M.color.length;++V)M.color[V].shape=M._shape;M._color_rb&&(T.bindRenderbuffer(T.RENDERBUFFER,M._color_rb),T.renderbufferStorage(T.RENDERBUFFER,T.RGBA4,M._shape[0],M._shape[1])),M.depth&&(M.depth.shape=M._shape),M._depth_rb&&(T.bindRenderbuffer(T.RENDERBUFFER,M._depth_rb),M._useDepth&&M._useStencil?T.renderbufferStorage(T.RENDERBUFFER,T.DEPTH_STENCIL,M._shape[0],M._shape[1]):M._useDepth?T.renderbufferStorage(T.RENDERBUFFER,T.DEPTH_COMPONENT16,M._shape[0],M._shape[1]):M._useStencil&&T.renderbufferStorage(T.RENDERBUFFER,T.STENCIL_INDEX,M._shape[0],M._shape[1])),T.bindFramebuffer(T.FRAMEBUFFER,M.handle);var H=T.checkFramebufferStatus(T.FRAMEBUFFER);H!==T.FRAMEBUFFER_COMPLETE&&(M.dispose(),v(T,q),b(H)),v(T,q)}}Object.defineProperties(L,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(M){if(Array.isArray(M)||(M=[M|0,M|0]),M.length!==2)throw new Error(\"gl-fbo: Shape vector must be length 2\");var p=M[0]|0,P=M[1]|0;return _(this,p,P),[p,P]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(M){return M=M|0,_(this,M,this._shape[1]),M},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(M){return M=M|0,_(this,this._shape[0],M),M},enumerable:!1}}),L.bind=function(){if(!this._destroyed){var M=this.gl;M.bindFramebuffer(M.FRAMEBUFFER,this.handle),M.viewport(0,0,this._shape[0],this._shape[1])}},L.dispose=function(){if(!this._destroyed){this._destroyed=!0;var M=this.gl;M.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(M.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var p=0;p<this.color.length;++p)this.color[p].dispose(),this.color[p]=null;this._color_rb&&(M.deleteRenderbuffer(this._color_rb),this._color_rb=null)}};function C(M,p,P,T){u||(u=M.FRAMEBUFFER_UNSUPPORTED,c=M.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,f=M.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,h=M.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var F=M.getExtension(\"WEBGL_draw_buffers\");if(!l&&F&&x(M,F),Array.isArray(p)&&(T=P,P=p[1]|0,p=p[0]|0),typeof p!=\"number\")throw new Error(\"gl-fbo: Missing shape parameter\");var q=M.getParameter(M.MAX_RENDERBUFFER_SIZE);if(p<0||p>q||P<0||P>q)throw new Error(\"gl-fbo: Parameters are too large for FBO\");T=T||{};var V=1;if(\"color\"in T){if(V=Math.max(T.color|0,0),V<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(V>1)if(F){if(V>M.getParameter(F.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+V+\" draw buffers\")}else throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\")}var H=M.UNSIGNED_BYTE,X=M.getExtension(\"OES_texture_float\");if(T.float&&V>0){if(!X)throw new Error(\"gl-fbo: Context does not support floating point textures\");H=M.FLOAT}else T.preferFloat&&V>0&&X&&(H=M.FLOAT);var G=!0;\"depth\"in T&&(G=!!T.depth);var N=!1;return\"stencil\"in T&&(N=!!T.stencil),new A(M,p,P,H,V,G,N,F)}},2992:function(i,a,o){var s=o(3387).sprintf,l=o(5171),u=o(1848),c=o(1085);i.exports=f;function f(h,d,v){\"use strict\";var x=u(d)||\"of unknown name (see npm glsl-shader-name)\",b=\"unknown type\";v!==void 0&&(b=v===l.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var g=s(`Error compiling %s shader %s:\n",
+       "`,b,x),E=s(\"%s%s\",g,h),k=h.split(`\n",
+       "`),A={},L=0;L<k.length;L++){var _=k[L];if(!(_===\"\"||_===\"\\0\")){var C=parseInt(_.split(\":\")[2]);if(isNaN(C))throw new Error(s(\"Could not parse error: %s\",_));A[C]=_}}for(var M=c(d).split(`\n",
+       "`),L=0;L<M.length;L++)if(!(!A[L+3]&&!A[L+2]&&!A[L+1])){var p=M[L];if(g+=p+`\n",
+       "`,A[L+1]){var P=A[L+1];P=P.substr(P.split(\":\",3).join(\":\").length+1).trim(),g+=s(`^^^ %s\n",
+       "\n",
+       "`,P)}}return{long:g.trim(),short:E.trim()}}},7319:function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, nextPosition;\n",
+       "attribute float arcLength, lineWidth;\n",
+       "attribute vec4 color;\n",
+       "\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float pixelRatio;\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 startPoint = project(position);\n",
+       "  vec4 endPoint   = project(nextPosition);\n",
+       "\n",
+       "  vec2 A = startPoint.xy / startPoint.w;\n",
+       "  vec2 B =   endPoint.xy /   endPoint.w;\n",
+       "\n",
+       "  float clipAngle = atan(\n",
+       "    (B.y - A.y) * screenShape.y,\n",
+       "    (B.x - A.x) * screenShape.x\n",
+       "  );\n",
+       "\n",
+       "  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n",
+       "    sin(clipAngle),\n",
+       "    -cos(clipAngle)\n",
+       "  ) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n",
+       "\n",
+       "  worldPosition = position;\n",
+       "  pixelArcLength = arcLength;\n",
+       "  fragColor = color;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3      clipBounds[2];\n",
+       "uniform sampler2D dashTexture;\n",
+       "uniform float     dashScale;\n",
+       "uniform float     opacity;\n",
+       "\n",
+       "varying vec3    worldPosition;\n",
+       "varying float   pixelArcLength;\n",
+       "varying vec4    fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n",
+       "  if(dashWeight < 0.5) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = fragColor * opacity;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "#define FLOAT_MAX  1.70141184e38\n",
+       "#define FLOAT_MIN  1.17549435e-38\n",
+       "\n",
+       "// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\n",
+       "vec4 packFloat(float v) {\n",
+       "  float av = abs(v);\n",
+       "\n",
+       "  //Handle special cases\n",
+       "  if(av < FLOAT_MIN) {\n",
+       "    return vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else if(v > FLOAT_MAX) {\n",
+       "    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  } else if(v < -FLOAT_MAX) {\n",
+       "    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  }\n",
+       "\n",
+       "  vec4 c = vec4(0,0,0,0);\n",
+       "\n",
+       "  //Compute exponent and mantissa\n",
+       "  float e = floor(log2(av));\n",
+       "  float m = av * pow(2.0, -e) - 1.0;\n",
+       "\n",
+       "  //Unpack mantissa\n",
+       "  c[1] = floor(128.0 * m);\n",
+       "  m -= c[1] / 128.0;\n",
+       "  c[2] = floor(32768.0 * m);\n",
+       "  m -= c[2] / 32768.0;\n",
+       "  c[3] = floor(8388608.0 * m);\n",
+       "\n",
+       "  //Unpack exponent\n",
+       "  float ebias = e + 127.0;\n",
+       "  c[0] = floor(ebias / 2.0);\n",
+       "  ebias -= c[0] * 2.0;\n",
+       "  c[1] += floor(ebias) * 128.0;\n",
+       "\n",
+       "  //Unpack sign bit\n",
+       "  c[0] += 128.0 * step(0.0, -v);\n",
+       "\n",
+       "  //Scale back to range\n",
+       "  return c / 255.0;\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform float pickId;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n",
+       "}`]),h=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];a.createShader=function(d){return l(d,u,c,null,h)},a.createPickShader=function(d){return l(d,u,f,null,h)}},5714:function(i,a,o){\"use strict\";i.exports=M;var s=o(2762),l=o(8116),u=o(7766),c=new Uint8Array(4),f=new Float32Array(c.buffer);function h(p,P,T,F){return c[0]=F,c[1]=T,c[2]=P,c[3]=p,f[0]}var d=o(2478),v=o(9618),x=o(7319),b=x.createShader,g=x.createPickShader,E=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(p,P){for(var T=0,F=0;F<3;++F){var q=p[F]-P[F];T+=q*q}return Math.sqrt(T)}function A(p){for(var P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],T=0;T<3;++T)P[0][T]=Math.max(p[0][T],P[0][T]),P[1][T]=Math.min(p[1][T],P[1][T]);return P}function L(p,P,T,F){this.arcLength=p,this.position=P,this.index=T,this.dataCoordinate=F}function _(p,P,T,F,q,V){this.gl=p,this.shader=P,this.pickShader=T,this.buffer=F,this.vao=q,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=V,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var C=_.prototype;C.isTransparent=function(){return this.hasAlpha},C.isOpaque=function(){return!this.hasAlpha},C.pickSlots=1,C.setPickBase=function(p){this.pickId=p},C.drawTransparent=C.draw=function(p){if(this.vertexCount){var P=this.gl,T=this.shader,F=this.vao;T.bind(),T.uniforms={model:p.model||E,view:p.view||E,projection:p.projection||E,clipBounds:A(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},F.bind(),F.draw(P.TRIANGLE_STRIP,this.vertexCount),F.unbind()}},C.drawPick=function(p){if(this.vertexCount){var P=this.gl,T=this.pickShader,F=this.vao;T.bind(),T.uniforms={model:p.model||E,view:p.view||E,projection:p.projection||E,pickId:this.pickId,clipBounds:A(this.clipBounds),screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},F.bind(),F.draw(P.TRIANGLE_STRIP,this.vertexCount),F.unbind()}},C.update=function(p){var P,T;this.dirty=!0;var F=!!p.connectGaps;\"dashScale\"in p&&(this.dashScale=p.dashScale),this.hasAlpha=!1,\"opacity\"in p&&(this.opacity=+p.opacity,this.opacity<1&&(this.hasAlpha=!0));var q=[],V=[],H=[],X=0,G=0,N=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=p.position||p.positions;if(W){var re=p.color||p.colors||[0,0,0,1],ae=p.lineWidth||1,_e=!1;e:for(P=1;P<W.length;++P){var Me=W[P-1],ke=W[P];for(V.push(X),H.push(Me.slice()),T=0;T<3;++T){if(isNaN(Me[T])||isNaN(ke[T])||!isFinite(Me[T])||!isFinite(ke[T])){if(!F&&q.length>0){for(var ge=0;ge<24;++ge)q.push(q[q.length-12]);G+=2,_e=!0}continue e}N[0][T]=Math.min(N[0][T],Me[T],ke[T]),N[1][T]=Math.max(N[1][T],Me[T],ke[T])}var ie,Te;Array.isArray(re[0])?(ie=re.length>P-1?re[P-1]:re.length>0?re[re.length-1]:[0,0,0,1],Te=re.length>P?re[P]:re.length>0?re[re.length-1]:[0,0,0,1]):ie=Te=re,ie.length===3&&(ie=[ie[0],ie[1],ie[2],1]),Te.length===3&&(Te=[Te[0],Te[1],Te[2],1]),!this.hasAlpha&&ie[3]<1&&(this.hasAlpha=!0);var Ee;Array.isArray(ae)?Ee=ae.length>P-1?ae[P-1]:ae.length>0?ae[ae.length-1]:[0,0,0,1]:Ee=ae;var Ae=X;if(X+=k(Me,ke),_e){for(T=0;T<2;++T)q.push(Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,Ee,ie[0],ie[1],ie[2],ie[3]);G+=2,_e=!1}q.push(Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,Ee,ie[0],ie[1],ie[2],ie[3],Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,-Ee,ie[0],ie[1],ie[2],ie[3],ke[0],ke[1],ke[2],Me[0],Me[1],Me[2],X,-Ee,Te[0],Te[1],Te[2],Te[3],ke[0],ke[1],ke[2],Me[0],Me[1],Me[2],X,Ee,Te[0],Te[1],Te[2],Te[3]),G+=4}}if(this.buffer.update(q),V.push(X),H.push(W[W.length-1].slice()),this.bounds=N,this.vertexCount=G,this.points=H,this.arcLength=V,\"dashes\"in p){var ze=p.dashes,Ce=ze.slice();for(Ce.unshift(0),P=1;P<Ce.length;++P)Ce[P]=Ce[P-1]+Ce[P];var me=v(new Array(256*4),[256,1,4]);for(P=0;P<256;++P){for(T=0;T<4;++T)me.set(P,0,T,0);d.le(Ce,Ce[Ce.length-1]*P/255)&1?me.set(P,0,0,0):me.set(P,0,0,255)}this.texture.setPixels(me)}},C.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},C.pick=function(p){if(!p||p.id!==this.pickId)return null;var P=h(p.value[0],p.value[1],p.value[2],0),T=d.le(this.arcLength,P);if(T<0)return null;if(T===this.arcLength.length-1)return new L(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),T);for(var F=this.points[T],q=this.points[Math.min(T+1,this.points.length-1)],V=(P-this.arcLength[T])/(this.arcLength[T+1]-this.arcLength[T]),H=1-V,X=[0,0,0],G=0;G<3;++G)X[G]=H*F[G]+V*q[G];var N=Math.min(V<.5?T:T+1,this.points.length-1);return new L(P,X,N,this.points[N])};function M(p){var P=p.gl||p.scene&&p.scene.gl,T=b(P);T.attributes.position.location=0,T.attributes.nextPosition.location=1,T.attributes.arcLength.location=2,T.attributes.lineWidth.location=3,T.attributes.color.location=4;var F=g(P);F.attributes.position.location=0,F.attributes.nextPosition.location=1,F.attributes.arcLength.location=2,F.attributes.lineWidth.location=3,F.attributes.color.location=4;for(var q=s(P),V=l(P,[{buffer:q,size:3,offset:0,stride:48},{buffer:q,size:3,offset:12,stride:48},{buffer:q,size:1,offset:24,stride:48},{buffer:q,size:1,offset:28,stride:48},{buffer:q,size:4,offset:32,stride:48}]),H=v(new Array(256*4),[256,1,4]),X=0;X<1024;++X)H.data[X]=255;var G=u(P,H);G.wrap=P.REPEAT;var N=new _(P,T,F,q,V,G);return N.update(p),N}},1903:function(i){i.exports=a;function a(o){var s=new Float32Array(16);return s[0]=o[0],s[1]=o[1],s[2]=o[2],s[3]=o[3],s[4]=o[4],s[5]=o[5],s[6]=o[6],s[7]=o[7],s[8]=o[8],s[9]=o[9],s[10]=o[10],s[11]=o[11],s[12]=o[12],s[13]=o[13],s[14]=o[14],s[15]=o[15],s}},6864:function(i){i.exports=a;function a(){var o=new Float32Array(16);return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},9921:function(i){i.exports=a;function a(o){var s=o[0],l=o[1],u=o[2],c=o[3],f=o[4],h=o[5],d=o[6],v=o[7],x=o[8],b=o[9],g=o[10],E=o[11],k=o[12],A=o[13],L=o[14],_=o[15],C=s*h-l*f,M=s*d-u*f,p=s*v-c*f,P=l*d-u*h,T=l*v-c*h,F=u*v-c*d,q=x*A-b*k,V=x*L-g*k,H=x*_-E*k,X=b*L-g*A,G=b*_-E*A,N=g*_-E*L;return C*N-M*G+p*X+P*H-T*V+F*q}},7399:function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=l+l,d=u+u,v=c+c,x=l*h,b=u*h,g=u*d,E=c*h,k=c*d,A=c*v,L=f*h,_=f*d,C=f*v;return o[0]=1-g-A,o[1]=b+C,o[2]=E-_,o[3]=0,o[4]=b-C,o[5]=1-x-A,o[6]=k+L,o[7]=0,o[8]=E+_,o[9]=k-L,o[10]=1-x-g,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},6743:function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=u+u,v=c+c,x=f+f,b=u*d,g=u*v,E=u*x,k=c*v,A=c*x,L=f*x,_=h*d,C=h*v,M=h*x;return o[0]=1-(k+L),o[1]=g+M,o[2]=E-C,o[3]=0,o[4]=g-M,o[5]=1-(b+L),o[6]=A+_,o[7]=0,o[8]=E+C,o[9]=A-_,o[10]=1-(b+k),o[11]=0,o[12]=l[0],o[13]=l[1],o[14]=l[2],o[15]=1,o}},7894:function(i){i.exports=a;function a(o){return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},7608:function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=s[4],d=s[5],v=s[6],x=s[7],b=s[8],g=s[9],E=s[10],k=s[11],A=s[12],L=s[13],_=s[14],C=s[15],M=l*d-u*h,p=l*v-c*h,P=l*x-f*h,T=u*v-c*d,F=u*x-f*d,q=c*x-f*v,V=b*L-g*A,H=b*_-E*A,X=b*C-k*A,G=g*_-E*L,N=g*C-k*L,W=E*C-k*_,re=M*W-p*N+P*G+T*X-F*H+q*V;return re?(re=1/re,o[0]=(d*W-v*N+x*G)*re,o[1]=(c*N-u*W-f*G)*re,o[2]=(L*q-_*F+C*T)*re,o[3]=(E*F-g*q-k*T)*re,o[4]=(v*X-h*W-x*H)*re,o[5]=(l*W-c*X+f*H)*re,o[6]=(_*P-A*q-C*p)*re,o[7]=(b*q-E*P+k*p)*re,o[8]=(h*N-d*X+x*V)*re,o[9]=(u*X-l*N-f*V)*re,o[10]=(A*F-L*P+C*M)*re,o[11]=(g*P-b*F-k*M)*re,o[12]=(d*H-h*G-v*V)*re,o[13]=(l*G-u*H+c*V)*re,o[14]=(L*p-A*T-_*M)*re,o[15]=(b*T-g*p+E*M)*re,o):null}},6582:function(i,a,o){var s=o(7894);i.exports=l;function l(u,c,f,h){var d,v,x,b,g,E,k,A,L,_,C=c[0],M=c[1],p=c[2],P=h[0],T=h[1],F=h[2],q=f[0],V=f[1],H=f[2];return Math.abs(C-q)<1e-6&&Math.abs(M-V)<1e-6&&Math.abs(p-H)<1e-6?s(u):(k=C-q,A=M-V,L=p-H,_=1/Math.sqrt(k*k+A*A+L*L),k*=_,A*=_,L*=_,d=T*L-F*A,v=F*k-P*L,x=P*A-T*k,_=Math.sqrt(d*d+v*v+x*x),_?(_=1/_,d*=_,v*=_,x*=_):(d=0,v=0,x=0),b=A*x-L*v,g=L*d-k*x,E=k*v-A*d,_=Math.sqrt(b*b+g*g+E*E),_?(_=1/_,b*=_,g*=_,E*=_):(b=0,g=0,E=0),u[0]=d,u[1]=b,u[2]=k,u[3]=0,u[4]=v,u[5]=g,u[6]=A,u[7]=0,u[8]=x,u[9]=E,u[10]=L,u[11]=0,u[12]=-(d*C+v*M+x*p),u[13]=-(b*C+g*M+E*p),u[14]=-(k*C+A*M+L*p),u[15]=1,u)}},6760:function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=s[4],v=s[5],x=s[6],b=s[7],g=s[8],E=s[9],k=s[10],A=s[11],L=s[12],_=s[13],C=s[14],M=s[15],p=l[0],P=l[1],T=l[2],F=l[3];return o[0]=p*u+P*d+T*g+F*L,o[1]=p*c+P*v+T*E+F*_,o[2]=p*f+P*x+T*k+F*C,o[3]=p*h+P*b+T*A+F*M,p=l[4],P=l[5],T=l[6],F=l[7],o[4]=p*u+P*d+T*g+F*L,o[5]=p*c+P*v+T*E+F*_,o[6]=p*f+P*x+T*k+F*C,o[7]=p*h+P*b+T*A+F*M,p=l[8],P=l[9],T=l[10],F=l[11],o[8]=p*u+P*d+T*g+F*L,o[9]=p*c+P*v+T*E+F*_,o[10]=p*f+P*x+T*k+F*C,o[11]=p*h+P*b+T*A+F*M,p=l[12],P=l[13],T=l[14],F=l[15],o[12]=p*u+P*d+T*g+F*L,o[13]=p*c+P*v+T*E+F*_,o[14]=p*f+P*x+T*k+F*C,o[15]=p*h+P*b+T*A+F*M,o}},4040:function(i){i.exports=a;function a(o,s,l,u,c,f,h){var d=1/(s-l),v=1/(u-c),x=1/(f-h);return o[0]=-2*d,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=-2*v,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=2*x,o[11]=0,o[12]=(s+l)*d,o[13]=(c+u)*v,o[14]=(h+f)*x,o[15]=1,o}},4772:function(i){i.exports=a;function a(o,s,l,u,c){var f=1/Math.tan(s/2),h=1/(u-c);return o[0]=f/l,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=f,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=(c+u)*h,o[11]=-1,o[12]=0,o[13]=0,o[14]=2*c*u*h,o[15]=0,o}},6079:function(i){i.exports=a;function a(o,s,l,u){var c=u[0],f=u[1],h=u[2],d=Math.sqrt(c*c+f*f+h*h),v,x,b,g,E,k,A,L,_,C,M,p,P,T,F,q,V,H,X,G,N,W,re,ae;return Math.abs(d)<1e-6?null:(d=1/d,c*=d,f*=d,h*=d,v=Math.sin(l),x=Math.cos(l),b=1-x,g=s[0],E=s[1],k=s[2],A=s[3],L=s[4],_=s[5],C=s[6],M=s[7],p=s[8],P=s[9],T=s[10],F=s[11],q=c*c*b+x,V=f*c*b+h*v,H=h*c*b-f*v,X=c*f*b-h*v,G=f*f*b+x,N=h*f*b+c*v,W=c*h*b+f*v,re=f*h*b-c*v,ae=h*h*b+x,o[0]=g*q+L*V+p*H,o[1]=E*q+_*V+P*H,o[2]=k*q+C*V+T*H,o[3]=A*q+M*V+F*H,o[4]=g*X+L*G+p*N,o[5]=E*X+_*G+P*N,o[6]=k*X+C*G+T*N,o[7]=A*X+M*G+F*N,o[8]=g*W+L*re+p*ae,o[9]=E*W+_*re+P*ae,o[10]=k*W+C*re+T*ae,o[11]=A*W+M*re+F*ae,s!==o&&(o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o)}},5567:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[4],h=s[5],d=s[6],v=s[7],x=s[8],b=s[9],g=s[10],E=s[11];return s!==o&&(o[0]=s[0],o[1]=s[1],o[2]=s[2],o[3]=s[3],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[4]=f*c+x*u,o[5]=h*c+b*u,o[6]=d*c+g*u,o[7]=v*c+E*u,o[8]=x*c-f*u,o[9]=b*c-h*u,o[10]=g*c-d*u,o[11]=E*c-v*u,o}},2408:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],x=s[8],b=s[9],g=s[10],E=s[11];return s!==o&&(o[4]=s[4],o[5]=s[5],o[6]=s[6],o[7]=s[7],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c-x*u,o[1]=h*c-b*u,o[2]=d*c-g*u,o[3]=v*c-E*u,o[8]=f*u+x*c,o[9]=h*u+b*c,o[10]=d*u+g*c,o[11]=v*u+E*c,o}},7089:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],x=s[4],b=s[5],g=s[6],E=s[7];return s!==o&&(o[8]=s[8],o[9]=s[9],o[10]=s[10],o[11]=s[11],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c+x*u,o[1]=h*c+b*u,o[2]=d*c+g*u,o[3]=v*c+E*u,o[4]=x*c-f*u,o[5]=b*c-h*u,o[6]=g*c-d*u,o[7]=E*c-v*u,o}},2504:function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2];return o[0]=s[0]*u,o[1]=s[1]*u,o[2]=s[2]*u,o[3]=s[3]*u,o[4]=s[4]*c,o[5]=s[5]*c,o[6]=s[6]*c,o[7]=s[7]*c,o[8]=s[8]*f,o[9]=s[9]*f,o[10]=s[10]*f,o[11]=s[11]*f,o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15],o}},7656:function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2],h,d,v,x,b,g,E,k,A,L,_,C;return s===o?(o[12]=s[0]*u+s[4]*c+s[8]*f+s[12],o[13]=s[1]*u+s[5]*c+s[9]*f+s[13],o[14]=s[2]*u+s[6]*c+s[10]*f+s[14],o[15]=s[3]*u+s[7]*c+s[11]*f+s[15]):(h=s[0],d=s[1],v=s[2],x=s[3],b=s[4],g=s[5],E=s[6],k=s[7],A=s[8],L=s[9],_=s[10],C=s[11],o[0]=h,o[1]=d,o[2]=v,o[3]=x,o[4]=b,o[5]=g,o[6]=E,o[7]=k,o[8]=A,o[9]=L,o[10]=_,o[11]=C,o[12]=h*u+b*c+A*f+s[12],o[13]=d*u+g*c+L*f+s[13],o[14]=v*u+E*c+_*f+s[14],o[15]=x*u+k*c+C*f+s[15]),o}},5665:function(i){i.exports=a;function a(o,s){if(o===s){var l=s[1],u=s[2],c=s[3],f=s[6],h=s[7],d=s[11];o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=l,o[6]=s[9],o[7]=s[13],o[8]=u,o[9]=f,o[11]=s[14],o[12]=c,o[13]=h,o[14]=d}else o[0]=s[0],o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=s[1],o[5]=s[5],o[6]=s[9],o[7]=s[13],o[8]=s[2],o[9]=s[6],o[10]=s[10],o[11]=s[14],o[12]=s[3],o[13]=s[7],o[14]=s[11],o[15]=s[15];return o}},7626:function(i,a,o){\"use strict\";var s=o(2642),l=o(9346);i.exports=d;function u(v,x){for(var b=[0,0,0,0],g=0;g<4;++g)for(var E=0;E<4;++E)b[E]+=v[4*g+E]*x[g];return b}function c(v,x,b,g,E){for(var k=u(g,u(b,u(x,[v[0],v[1],v[2],1]))),A=0;A<3;++A)k[A]/=k[3];return[.5*E[0]*(1+k[0]),.5*E[1]*(1-k[1])]}function f(v,x){if(v.length===2){for(var b=0,g=0,E=0;E<2;++E)b+=Math.pow(x[E]-v[0][E],2),g+=Math.pow(x[E]-v[1][E],2);return b=Math.sqrt(b),g=Math.sqrt(g),b+g<1e-6?[1,0]:[g/(b+g),b/(g+b)]}else if(v.length===3){var k=[0,0];return l(v[0],v[1],v[2],x,k),s(v,k)}return[]}function h(v,x){for(var b=[0,0,0],g=0;g<v.length;++g)for(var E=v[g],k=x[g],A=0;A<3;++A)b[A]+=k*E[A];return b}function d(v,x,b,g,E,k){if(v.length===1)return[0,v[0].slice()];for(var A=new Array(v.length),L=0;L<v.length;++L)A[L]=c(v[L],b,g,E,k);for(var _=0,C=1/0,L=0;L<A.length;++L){for(var M=0,p=0;p<2;++p)M+=Math.pow(A[L][p]-x[p],2);M<C&&(C=M,_=L)}for(var P=f(A,x),T=0,L=0;L<3;++L){if(P[L]<-.001||P[L]>1.0001)return null;T+=P[L]}return Math.abs(T-1)>.001?null:[_,h(v,P),P]}},840:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, normal;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model\n",
+       "           , view\n",
+       "           , projection\n",
+       "           , inverseModel;\n",
+       "uniform vec3 eyePosition\n",
+       "           , lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position      = project(position);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * vec4(position , 1.0);\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = position;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness\n",
+       "            , fresnel\n",
+       "            , kambient\n",
+       "            , kdiffuse\n",
+       "            , kspecular;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (f_color.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], f_data)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n",
+       "\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * f_color.a;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_color = color;\n",
+       "  f_data  = position;\n",
+       "  f_uv    = uv;\n",
+       "}`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n",
+       "\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "attribute float pointSize;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n",
+       "  } else {\n",
+       "    gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  }\n",
+       "  gl_PointSize = pointSize;\n",
+       "  f_color = color;\n",
+       "  f_uv = uv;\n",
+       "}`]),d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n",
+       "  if(dot(pointR, pointR) > 0.25) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_id        = id;\n",
+       "  f_position  = position;\n",
+       "}`]),x=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]),b=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3  position;\n",
+       "attribute float pointSize;\n",
+       "attribute vec4  id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else {\n",
+       "    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\n",
+       "    gl_PointSize = pointSize;\n",
+       "  }\n",
+       "  f_id         = id;\n",
+       "  f_position   = position;\n",
+       "}`]),g=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "}`]),E=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec3 contourColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = vec4(contourColor, 1.0);\n",
+       "}\n",
+       "`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.wireShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.pointShader={vertex:h,fragment:d,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},a.pickShader={vertex:v,fragment:x,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},a.pointPickShader={vertex:b,fragment:x,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},a.contourShader={vertex:g,fragment:E,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(i,a,o){\"use strict\";var s=1e-6,l=1e-6,u=o(9405),c=o(2762),f=o(8116),h=o(7766),d=o(8406),v=o(6760),x=o(7608),b=o(9618),g=o(6729),E=o(7765),k=o(1888),A=o(840),L=o(7626),_=A.meshShader,C=A.wireShader,M=A.pointShader,p=A.pickShader,P=A.pointPickShader,T=A.contourShader,F=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function q(ge,ie,Te,Ee,Ae,ze,Ce,me,Re,ce,Ge,nt,ct,qt,rt,ot,Rt,kt,Ct,Yt,xr,er,Ke,xt,bt,Lt,St){this.gl=ge,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=ie,this.dirty=!0,this.triShader=Te,this.lineShader=Ee,this.pointShader=Ae,this.pickShader=ze,this.pointPickShader=Ce,this.contourShader=me,this.trianglePositions=Re,this.triangleColors=Ge,this.triangleNormals=ct,this.triangleUVs=nt,this.triangleIds=ce,this.triangleVAO=qt,this.triangleCount=0,this.lineWidth=1,this.edgePositions=rt,this.edgeColors=Rt,this.edgeUVs=kt,this.edgeIds=ot,this.edgeVAO=Ct,this.edgeCount=0,this.pointPositions=Yt,this.pointColors=er,this.pointUVs=Ke,this.pointSizes=xt,this.pointIds=xr,this.pointVAO=bt,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=Lt,this.contourVAO=St,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=F,this._view=F,this._projection=F,this._resolution=[1,1]}var V=q.prototype;V.isOpaque=function(){return!this.hasAlpha},V.isTransparent=function(){return this.hasAlpha},V.pickSlots=1,V.setPickBase=function(ge){this.pickId=ge};function H(ge,ie){if(!ie||!ie.length)return 1;for(var Te=0;Te<ie.length;++Te){if(ie.length<2)return 1;if(ie[Te][0]===ge)return ie[Te][1];if(ie[Te][0]>ge&&Te>0){var Ee=(ie[Te][0]-ge)/(ie[Te][0]-ie[Te-1][0]);return ie[Te][1]*(1-Ee)+Ee*ie[Te-1][1]}}return 1}function X(ge,ie){for(var Te=g({colormap:ge,nshades:256,format:\"rgba\"}),Ee=new Uint8Array(256*4),Ae=0;Ae<256;++Ae){for(var ze=Te[Ae],Ce=0;Ce<3;++Ce)Ee[4*Ae+Ce]=ze[Ce];ie?Ee[4*Ae+3]=255*H(Ae/255,ie):Ee[4*Ae+3]=255*ze[3]}return b(Ee,[256,256,4],[4,0,1])}function G(ge){for(var ie=ge.length,Te=new Array(ie),Ee=0;Ee<ie;++Ee)Te[Ee]=ge[Ee][2];return Te}V.highlight=function(ge){if(!ge||!this.contourEnable){this.contourCount=0;return}for(var ie=E(this.cells,this.intensity,ge.intensity),Te=ie.cells,Ee=ie.vertexIds,Ae=ie.vertexWeights,ze=Te.length,Ce=k.mallocFloat32(2*3*ze),me=0,Re=0;Re<ze;++Re)for(var ce=Te[Re],Ge=0;Ge<2;++Ge){var nt=ce[0];ce.length===2&&(nt=ce[Ge]);for(var ct=Ee[nt][0],qt=Ee[nt][1],rt=Ae[nt],ot=1-rt,Rt=this.positions[ct],kt=this.positions[qt],Ct=0;Ct<3;++Ct)Ce[me++]=rt*Rt[Ct]+ot*kt[Ct]}this.contourCount=me/3|0,this.contourPositions.update(Ce.subarray(0,me)),k.free(Ce)},V.update=function(ge){ge=ge||{};var ie=this.gl;this.dirty=!0,\"contourEnable\"in ge&&(this.contourEnable=ge.contourEnable),\"contourColor\"in ge&&(this.contourColor=ge.contourColor),\"lineWidth\"in ge&&(this.lineWidth=ge.lineWidth),\"lightPosition\"in ge&&(this.lightPosition=ge.lightPosition),this.hasAlpha=!1,\"opacity\"in ge&&(this.opacity=ge.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in ge&&(this.opacityscale=ge.opacityscale,this.hasAlpha=!0),\"ambient\"in ge&&(this.ambientLight=ge.ambient),\"diffuse\"in ge&&(this.diffuseLight=ge.diffuse),\"specular\"in ge&&(this.specularLight=ge.specular),\"roughness\"in ge&&(this.roughness=ge.roughness),\"fresnel\"in ge&&(this.fresnel=ge.fresnel),ge.texture?(this.texture.dispose(),this.texture=h(ie,ge.texture)):ge.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=ie.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=ie.LINEAR,this.texture.setPixels(X(ge.colormap,this.opacityscale)),this.texture.generateMipmap());var Te=ge.cells,Ee=ge.positions;if(!(!Ee||!Te)){var Ae=[],ze=[],Ce=[],me=[],Re=[],ce=[],Ge=[],nt=[],ct=[],qt=[],rt=[],ot=[],Rt=[],kt=[];this.cells=Te,this.positions=Ee;var Ct=ge.vertexNormals,Yt=ge.cellNormals,xr=ge.vertexNormalsEpsilon===void 0?s:ge.vertexNormalsEpsilon,er=ge.faceNormalsEpsilon===void 0?l:ge.faceNormalsEpsilon;ge.useFacetNormals&&!Yt&&(Yt=d.faceNormals(Te,Ee,er)),!Yt&&!Ct&&(Ct=d.vertexNormals(Te,Ee,xr));var Ke=ge.vertexColors,xt=ge.cellColors,bt=ge.meshColor||[1,1,1,1],Lt=ge.vertexUVs,St=ge.vertexIntensity,Et=ge.cellUVs,dt=ge.cellIntensity,Ht=1/0,$t=-1/0;if(!Lt&&!Et)if(St)if(ge.vertexIntensityBounds)Ht=+ge.vertexIntensityBounds[0],$t=+ge.vertexIntensityBounds[1];else for(var fr=0;fr<St.length;++fr){var _r=St[fr];Ht=Math.min(Ht,_r),$t=Math.max($t,_r)}else if(dt)if(ge.cellIntensityBounds)Ht=+ge.cellIntensityBounds[0],$t=+ge.cellIntensityBounds[1];else for(var fr=0;fr<dt.length;++fr){var _r=dt[fr];Ht=Math.min(Ht,_r),$t=Math.max($t,_r)}else for(var fr=0;fr<Ee.length;++fr){var _r=Ee[fr][2];Ht=Math.min(Ht,_r),$t=Math.max($t,_r)}St?this.intensity=St:dt?this.intensity=dt:this.intensity=G(Ee),this.pickVertex=!(dt||xt);var Br=ge.pointSizes,Or=ge.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var fr=0;fr<Ee.length;++fr)for(var Nr=Ee[fr],ut=0;ut<3;++ut)isNaN(Nr[ut])||!isFinite(Nr[ut])||(this.bounds[0][ut]=Math.min(this.bounds[0][ut],Nr[ut]),this.bounds[1][ut]=Math.max(this.bounds[1][ut],Nr[ut]));var Ne=0,Ye=0,Ve=0;e:for(var fr=0;fr<Te.length;++fr){var Xe=Te[fr];switch(Xe.length){case 1:for(var ht=Xe[0],Nr=Ee[ht],ut=0;ut<3;++ut)if(isNaN(Nr[ut])||!isFinite(Nr[ut]))continue e;qt.push(Nr[0],Nr[1],Nr[2]);var Le;Ke?Le=Ke[ht]:xt?Le=xt[fr]:Le=bt,this.opacityscale&&St?ze.push(Le[0],Le[1],Le[2],this.opacity*H((St[ht]-Ht)/($t-Ht),this.opacityscale)):Le.length===3?rt.push(Le[0],Le[1],Le[2],this.opacity):(rt.push(Le[0],Le[1],Le[2],Le[3]*this.opacity),Le[3]<1&&(this.hasAlpha=!0));var xe;Lt?xe=Lt[ht]:St?xe=[(St[ht]-Ht)/($t-Ht),0]:Et?xe=Et[fr]:dt?xe=[(dt[fr]-Ht)/($t-Ht),0]:xe=[(Nr[2]-Ht)/($t-Ht),0],ot.push(xe[0],xe[1]),Br?Rt.push(Br[ht]):Rt.push(Or),kt.push(fr),Ve+=1;break;case 2:for(var ut=0;ut<2;++ut)for(var ht=Xe[ut],Nr=Ee[ht],Se=0;Se<3;++Se)if(isNaN(Nr[Se])||!isFinite(Nr[Se]))continue e;for(var ut=0;ut<2;++ut){var ht=Xe[ut],Nr=Ee[ht];ce.push(Nr[0],Nr[1],Nr[2]);var Le;Ke?Le=Ke[ht]:xt?Le=xt[fr]:Le=bt,this.opacityscale&&St?ze.push(Le[0],Le[1],Le[2],this.opacity*H((St[ht]-Ht)/($t-Ht),this.opacityscale)):Le.length===3?Ge.push(Le[0],Le[1],Le[2],this.opacity):(Ge.push(Le[0],Le[1],Le[2],Le[3]*this.opacity),Le[3]<1&&(this.hasAlpha=!0));var xe;Lt?xe=Lt[ht]:St?xe=[(St[ht]-Ht)/($t-Ht),0]:Et?xe=Et[fr]:dt?xe=[(dt[fr]-Ht)/($t-Ht),0]:xe=[(Nr[2]-Ht)/($t-Ht),0],nt.push(xe[0],xe[1]),ct.push(fr)}Ye+=1;break;case 3:for(var ut=0;ut<3;++ut)for(var ht=Xe[ut],Nr=Ee[ht],Se=0;Se<3;++Se)if(isNaN(Nr[Se])||!isFinite(Nr[Se]))continue e;for(var ut=0;ut<3;++ut){var ht=Xe[2-ut],Nr=Ee[ht];Ae.push(Nr[0],Nr[1],Nr[2]);var Le;Ke?Le=Ke[ht]:xt?Le=xt[fr]:Le=bt,Le?this.opacityscale&&St?ze.push(Le[0],Le[1],Le[2],this.opacity*H((St[ht]-Ht)/($t-Ht),this.opacityscale)):Le.length===3?ze.push(Le[0],Le[1],Le[2],this.opacity):(ze.push(Le[0],Le[1],Le[2],Le[3]*this.opacity),Le[3]<1&&(this.hasAlpha=!0)):ze.push(.5,.5,.5,1);var xe;Lt?xe=Lt[ht]:St?xe=[(St[ht]-Ht)/($t-Ht),0]:Et?xe=Et[fr]:dt?xe=[(dt[fr]-Ht)/($t-Ht),0]:xe=[(Nr[2]-Ht)/($t-Ht),0],me.push(xe[0],xe[1]);var lt;Ct?lt=Ct[ht]:lt=Yt[fr],Ce.push(lt[0],lt[1],lt[2]),Re.push(fr)}Ne+=1;break;default:break}}this.pointCount=Ve,this.edgeCount=Ye,this.triangleCount=Ne,this.pointPositions.update(qt),this.pointColors.update(rt),this.pointUVs.update(ot),this.pointSizes.update(Rt),this.pointIds.update(new Uint32Array(kt)),this.edgePositions.update(ce),this.edgeColors.update(Ge),this.edgeUVs.update(nt),this.edgeIds.update(new Uint32Array(ct)),this.trianglePositions.update(Ae),this.triangleColors.update(ze),this.triangleUVs.update(me),this.triangleNormals.update(Ce),this.triangleIds.update(new Uint32Array(Re))}},V.drawTransparent=V.draw=function(ge){ge=ge||{};for(var ie=this.gl,Te=ge.model||F,Ee=ge.view||F,Ae=ge.projection||F,ze=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Ce=0;Ce<3;++Ce)ze[0][Ce]=Math.max(ze[0][Ce],this.clipBounds[0][Ce]),ze[1][Ce]=Math.min(ze[1][Ce],this.clipBounds[1][Ce]);var me={model:Te,view:Ee,projection:Ae,inverseModel:F.slice(),clipBounds:ze,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};me.inverseModel=x(me.inverseModel,me.model),ie.disable(ie.CULL_FACE),this.texture.bind(0);var Re=new Array(16);v(Re,me.view,me.model),v(Re,me.projection,Re),x(Re,Re);for(var Ce=0;Ce<3;++Ce)me.eyePosition[Ce]=Re[12+Ce]/Re[15];for(var ce=Re[15],Ce=0;Ce<3;++Ce)ce+=this.lightPosition[Ce]*Re[4*Ce+3];for(var Ce=0;Ce<3;++Ce){for(var Ge=Re[12+Ce],nt=0;nt<3;++nt)Ge+=Re[4*nt+Ce]*this.lightPosition[nt];me.lightPosition[Ce]=Ge/ce}if(this.triangleCount>0){var ct=this.triShader;ct.bind(),ct.uniforms=me,this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var ct=this.lineShader;ct.bind(),ct.uniforms=me,this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var ct=this.pointShader;ct.bind(),ct.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var ct=this.contourShader;ct.bind(),ct.uniforms=me,this.contourVAO.bind(),ie.drawArrays(ie.LINES,0,this.contourCount),this.contourVAO.unbind()}},V.drawPick=function(ge){ge=ge||{};for(var ie=this.gl,Te=ge.model||F,Ee=ge.view||F,Ae=ge.projection||F,ze=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Ce=0;Ce<3;++Ce)ze[0][Ce]=Math.max(ze[0][Ce],this.clipBounds[0][Ce]),ze[1][Ce]=Math.min(ze[1][Ce],this.clipBounds[1][Ce]);this._model=[].slice.call(Te),this._view=[].slice.call(Ee),this._projection=[].slice.call(Ae),this._resolution=[ie.drawingBufferWidth,ie.drawingBufferHeight];var me={model:Te,view:Ee,projection:Ae,clipBounds:ze,pickId:this.pickId/255},Re=this.pickShader;if(Re.bind(),Re.uniforms=me,this.triangleCount>0&&(this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var Re=this.pointPickShader;Re.bind(),Re.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}},V.pick=function(ge){if(!ge||ge.id!==this.pickId)return null;for(var ie=ge.value[0]+256*ge.value[1]+65536*ge.value[2],Te=this.cells[ie],Ee=this.positions,Ae=new Array(Te.length),ze=0;ze<Te.length;++ze)Ae[ze]=Ee[Te[ze]];var Ce=ge.coord[0],me=ge.coord[1];if(!this.pickVertex){var Re=this.positions[Te[0]],ce=this.positions[Te[1]],Ge=this.positions[Te[2]],nt=[(Re[0]+ce[0]+Ge[0])/3,(Re[1]+ce[1]+Ge[1])/3,(Re[2]+ce[2]+Ge[2])/3];return{_cellCenter:!0,position:[Ce,me],index:ie,cell:Te,cellId:ie,intensity:this.intensity[ie],dataCoordinate:nt}}var ct=L(Ae,[Ce*this.pixelRatio,this._resolution[1]-me*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!ct)return null;for(var qt=ct[2],rt=0,ze=0;ze<Te.length;++ze)rt+=qt[ze]*this.intensity[Te[ze]];return{position:ct[1],index:Te[ct[0]],cell:Te,cellId:ie,intensity:rt,dataCoordinate:this.positions[Te[ct[0]]]}},V.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()};function N(ge){var ie=u(ge,_.vertex,_.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.normal.location=4,ie}function W(ge){var ie=u(ge,C.vertex,C.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie}function re(ge){var ie=u(ge,M.vertex,M.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.pointSize.location=4,ie}function ae(ge){var ie=u(ge,p.vertex,p.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie}function _e(ge){var ie=u(ge,P.vertex,P.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie.attributes.pointSize.location=4,ie}function Me(ge){var ie=u(ge,T.vertex,T.fragment);return ie.attributes.position.location=0,ie}function ke(ge,ie){arguments.length===1&&(ie=ge,ge=ie.gl);var Te=ge.getExtension(\"OES_standard_derivatives\")||ge.getExtension(\"MOZ_OES_standard_derivatives\")||ge.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!Te)throw new Error(\"derivatives not supported\");var Ee=N(ge),Ae=W(ge),ze=re(ge),Ce=ae(ge),me=_e(ge),Re=Me(ge),ce=h(ge,b(new Uint8Array([255,255,255,255]),[1,1,4]));ce.generateMipmap(),ce.minFilter=ge.LINEAR_MIPMAP_LINEAR,ce.magFilter=ge.LINEAR;var Ge=c(ge),nt=c(ge),ct=c(ge),qt=c(ge),rt=c(ge),ot=f(ge,[{buffer:Ge,type:ge.FLOAT,size:3},{buffer:rt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:nt,type:ge.FLOAT,size:4},{buffer:ct,type:ge.FLOAT,size:2},{buffer:qt,type:ge.FLOAT,size:3}]),Rt=c(ge),kt=c(ge),Ct=c(ge),Yt=c(ge),xr=f(ge,[{buffer:Rt,type:ge.FLOAT,size:3},{buffer:Yt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:kt,type:ge.FLOAT,size:4},{buffer:Ct,type:ge.FLOAT,size:2}]),er=c(ge),Ke=c(ge),xt=c(ge),bt=c(ge),Lt=c(ge),St=f(ge,[{buffer:er,type:ge.FLOAT,size:3},{buffer:Lt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Ke,type:ge.FLOAT,size:4},{buffer:xt,type:ge.FLOAT,size:2},{buffer:bt,type:ge.FLOAT,size:1}]),Et=c(ge),dt=f(ge,[{buffer:Et,type:ge.FLOAT,size:3}]),Ht=new q(ge,ce,Ee,Ae,ze,Ce,me,Re,Ge,rt,nt,ct,qt,ot,Rt,Yt,kt,Ct,xr,er,Lt,Ke,xt,bt,St,Et,dt);return Ht.update(ie),Ht}i.exports=ke},4437:function(i,a,o){\"use strict\";i.exports=d;var s=o(3025),l=o(6296),u=o(351),c=o(8512),f=o(24),h=o(7520);function d(v,x){v=v||document.body,x=x||{};var b=[.01,1/0];\"distanceLimits\"in x&&(b[0]=x.distanceLimits[0],b[1]=x.distanceLimits[1]),\"zoomMin\"in x&&(b[0]=x.zoomMin),\"zoomMax\"in x&&(b[1]=x.zoomMax);var g=l({center:x.center||[0,0,0],up:x.up||[0,1,0],eye:x.eye||[0,0,10],mode:x.mode||\"orbit\",distanceLimits:b}),E=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],k=0,A=v.clientWidth,L=v.clientHeight,_={keyBindingMode:\"rotate\",enableWheel:!0,view:g,element:v,delay:x.delay||16,rotateSpeed:x.rotateSpeed||1,zoomSpeed:x.zoomSpeed||1,translateSpeed:x.translateSpeed||1,flipX:!!x.flipX,flipY:!!x.flipY,modes:g.modes,_ortho:x._ortho||x.projection&&x.projection.type===\"orthographic\"||!1,tick:function(){var C=s(),M=this.delay,p=C-2*M;g.idle(C-M),g.recalcMatrix(p),g.flush(C-(100+M*2));for(var P=!0,T=g.computedMatrix,F=0;F<16;++F)P=P&&E[F]===T[F],E[F]=T[F];var q=v.clientWidth===A&&v.clientHeight===L;return A=v.clientWidth,L=v.clientHeight,P?!q:(k=Math.exp(g.computedRadius[0]),!0)},lookAt:function(C,M,p){g.lookAt(g.lastT(),C,M,p)},rotate:function(C,M,p){g.rotate(g.lastT(),C,M,p)},pan:function(C,M,p){g.pan(g.lastT(),C,M,p)},translate:function(C,M,p){g.translate(g.lastT(),C,M,p)}};return Object.defineProperties(_,{matrix:{get:function(){return g.computedMatrix},set:function(C){return g.setMatrix(g.lastT(),C),g.computedMatrix},enumerable:!0},mode:{get:function(){return g.getMode()},set:function(C){var M=g.computedUp.slice(),p=g.computedEye.slice(),P=g.computedCenter.slice();if(g.setMode(C),C===\"turntable\"){var T=s();g._active.lookAt(T,p,P,M),g._active.lookAt(T+500,p,P,[0,0,1]),g._active.flush(T)}return g.getMode()},enumerable:!0},center:{get:function(){return g.computedCenter},set:function(C){return g.lookAt(g.lastT(),null,C),g.computedCenter},enumerable:!0},eye:{get:function(){return g.computedEye},set:function(C){return g.lookAt(g.lastT(),C),g.computedEye},enumerable:!0},up:{get:function(){return g.computedUp},set:function(C){return g.lookAt(g.lastT(),null,null,C),g.computedUp},enumerable:!0},distance:{get:function(){return k},set:function(C){return g.setDistance(g.lastT(),C),C},enumerable:!0},distanceLimits:{get:function(){return g.getDistanceLimits(b)},set:function(C){return g.setDistanceLimits(C),C},enumerable:!0}}),v.addEventListener(\"contextmenu\",function(C){return C.preventDefault(),!1}),_._lastX=-1,_._lastY=-1,_._lastMods={shift:!1,control:!1,alt:!1,meta:!1},_.enableMouseListeners=function(){_.mouseListener=u(v,C),v.addEventListener(\"touchstart\",function(M){var p=f(M.changedTouches[0],v);C(0,p[0],p[1],_._lastMods),C(1,p[0],p[1],_._lastMods)},h?{passive:!0}:!1),v.addEventListener(\"touchmove\",function(M){var p=f(M.changedTouches[0],v);C(1,p[0],p[1],_._lastMods),M.preventDefault()},h?{passive:!1}:!1),v.addEventListener(\"touchend\",function(M){C(0,_._lastX,_._lastY,_._lastMods)},h?{passive:!0}:!1);function C(M,p,P,T){var F=_.keyBindingMode;if(F!==!1){var q=F===\"rotate\",V=F===\"pan\",H=F===\"zoom\",X=!!T.control,G=!!T.alt,N=!!T.shift,W=!!(M&1),re=!!(M&2),ae=!!(M&4),_e=1/v.clientHeight,Me=_e*(p-_._lastX),ke=_e*(P-_._lastY),ge=_.flipX?1:-1,ie=_.flipY?1:-1,Te=Math.PI*_.rotateSpeed,Ee=s();if(_._lastX!==-1&&_._lastY!==-1&&((q&&W&&!X&&!G&&!N||W&&!X&&!G&&N)&&g.rotate(Ee,ge*Te*Me,-ie*Te*ke,0),(V&&W&&!X&&!G&&!N||re||W&&X&&!G&&!N)&&g.pan(Ee,-_.translateSpeed*Me*k,_.translateSpeed*ke*k,0),H&&W&&!X&&!G&&!N||ae||W&&!X&&G&&!N)){var Ae=-_.zoomSpeed*ke/window.innerHeight*(Ee-g.lastT())*100;g.pan(Ee,0,0,k*(Math.exp(Ae)-1))}return _._lastX=p,_._lastY=P,_._lastMods=T,!0}}_.wheelListener=c(v,function(M,p){if(_.keyBindingMode!==!1&&_.enableWheel){var P=_.flipX?1:-1,T=_.flipY?1:-1,F=s();if(Math.abs(M)>Math.abs(p))g.rotate(F,0,0,-M*P*Math.PI*_.rotateSpeed/window.innerWidth);else if(!_._ortho){var q=-_.zoomSpeed*T*p/window.innerHeight*(F-g.lastT())/20;g.pan(F,0,0,k*(Math.exp(q)-1))}}},!0)},_.enableMouseListeners(),_}},799:function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "attribute vec2 position;\n",
+       "varying vec2 uv;\n",
+       "void main() {\n",
+       "  uv = position;\n",
+       "  gl_Position = vec4(position, 0, 1);\n",
+       "}`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D accumBuffer;\n",
+       "varying vec2 uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n",
+       "  gl_FragColor = min(vec4(1,1,1,1), accum);\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(i,a,o){\"use strict\";var s=o(4437),l=o(3837),u=o(5445),c=o(4449),f=o(3589),h=o(2260),d=o(7169),v=o(351),x=o(4772),b=o(4040),g=o(799),E=o(9216)({tablet:!0,featureDetect:!0});i.exports={createScene:C,createCamera:s};function k(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function A(p,P){var T=null;try{T=p.getContext(\"webgl\",P),T||(T=p.getContext(\"experimental-webgl\",P))}catch(F){return null}return T}function L(p){var P=Math.round(Math.log(Math.abs(p))/Math.log(10));if(P<0){var T=Math.round(Math.pow(10,-P));return Math.ceil(p*T)/T}else if(P>0){var T=Math.round(Math.pow(10,P));return Math.ceil(p/T)*T}return Math.ceil(p)}function _(p){return typeof p==\"boolean\"?p:!0}function C(p){p=p||{},p.camera=p.camera||{};var P=p.canvas;if(!P)if(P=document.createElement(\"canvas\"),p.container){var T=p.container;T.appendChild(P)}else document.body.appendChild(P);var F=p.gl;if(F||(p.glOptions&&(E=!!p.glOptions.preserveDrawingBuffer),F=A(P,p.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:E})),!F)throw new Error(\"webgl not supported\");var q=p.bounds||[[-10,-10,-10],[10,10,10]],V=new k,H=h(F,F.drawingBufferWidth,F.drawingBufferHeight,{preferFloat:!E}),X=g(F),G=p.cameraObject&&p.cameraObject._ortho===!0||p.camera.projection&&p.camera.projection.type===\"orthographic\"||!1,N={eye:p.camera.eye||[2,0,0],center:p.camera.center||[0,0,0],up:p.camera.up||[0,1,0],zoomMin:p.camera.zoomMax||.1,zoomMax:p.camera.zoomMin||100,mode:p.camera.mode||\"turntable\",_ortho:G},W=p.axes||{},re=l(F,W);re.enable=!W.disable;var ae=p.spikes||{},_e=c(F,ae),Me=[],ke=[],ge=[],ie=[],Te=!0,Ce=!0,Ee=new Array(16),Ae=new Array(16),ze={view:null,projection:Ee,model:Ae,_ortho:!1},Ce=!0,me=[F.drawingBufferWidth,F.drawingBufferHeight],Re=p.cameraObject||s(P,N),ce={gl:F,contextLost:!1,pixelRatio:p.pixelRatio||1,canvas:P,selection:V,camera:Re,axes:re,axesPixels:null,spikes:_e,bounds:q,objects:Me,shape:me,aspect:p.aspectRatio||[1,1,1],pickRadius:p.pickRadius||10,zNear:p.zNear||.01,zFar:p.zFar||1e3,fovy:p.fovy||Math.PI/4,clearColor:p.clearColor||[0,0,0,0],autoResize:_(p.autoResize),autoBounds:_(p.autoBounds),autoScale:!!p.autoScale,autoCenter:_(p.autoCenter),clipToBounds:_(p.clipToBounds),snapToData:!!p.snapToData,onselect:p.onselect||null,onrender:p.onrender||null,onclick:p.onclick||null,cameraParams:ze,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(Yt){this.aspect[0]=Yt.x,this.aspect[1]=Yt.y,this.aspect[2]=Yt.z,Ce=!0},setBounds:function(Yt,xr){this.bounds[0][Yt]=xr.min,this.bounds[1][Yt]=xr.max},setClearColor:function(Yt){this.clearColor=Yt},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},Ge=[F.drawingBufferWidth/ce.pixelRatio|0,F.drawingBufferHeight/ce.pixelRatio|0];function nt(){if(!ce._stopped&&ce.autoResize){var Yt=P.parentNode,xr=1,er=1;Yt&&Yt!==document.body?(xr=Yt.clientWidth,er=Yt.clientHeight):(xr=window.innerWidth,er=window.innerHeight);var Ke=Math.ceil(xr*ce.pixelRatio)|0,xt=Math.ceil(er*ce.pixelRatio)|0;if(Ke!==P.width||xt!==P.height){P.width=Ke,P.height=xt;var bt=P.style;bt.position=bt.position||\"absolute\",bt.left=\"0px\",bt.top=\"0px\",bt.width=xr+\"px\",bt.height=er+\"px\",Te=!0}}}ce.autoResize&&nt(),window.addEventListener(\"resize\",nt);function ct(){for(var Yt=Me.length,xr=ie.length,er=0;er<xr;++er)ge[er]=0;e:for(var er=0;er<Yt;++er){var Ke=Me[er],xt=Ke.pickSlots;if(!xt){ke[er]=-1;continue}for(var bt=0;bt<xr;++bt)if(ge[bt]+xt<255){ke[er]=bt,Ke.setPickBase(ge[bt]+1),ge[bt]+=xt;continue e}var Lt=f(F,me);ke[er]=xr,ie.push(Lt),ge.push(xt),Ke.setPickBase(1),xr+=1}for(;xr>0&&ge[xr-1]===0;)ge.pop(),ie.pop().dispose()}ce.update=function(Yt){ce._stopped||(Yt=Yt||{},Te=!0,Ce=!0)},ce.add=function(Yt){ce._stopped||(Yt.axes=re,Me.push(Yt),ke.push(-1),Te=!0,Ce=!0,ct())},ce.remove=function(Yt){if(!ce._stopped){var xr=Me.indexOf(Yt);xr<0||(Me.splice(xr,1),ke.pop(),Te=!0,Ce=!0,ct())}},ce.dispose=function(){if(!ce._stopped&&(ce._stopped=!0,window.removeEventListener(\"resize\",nt),P.removeEventListener(\"webglcontextlost\",qt),ce.mouseListener.enabled=!1,!ce.contextLost)){re.dispose(),_e.dispose();for(var Yt=0;Yt<Me.length;++Yt)Me[Yt].dispose();H.dispose();for(var Yt=0;Yt<ie.length;++Yt)ie[Yt].dispose();X.dispose(),F=null,re=null,_e=null,Me=[]}},ce._mouseRotating=!1,ce._prevButtons=0,ce.enableMouseListeners=function(){ce.mouseListener=v(P,function(Yt,xr,er){if(!ce._stopped){var Ke=ie.length,xt=Me.length,bt=V.object;V.distance=1/0,V.mouse[0]=xr,V.mouse[1]=er,V.object=null,V.screen=null,V.dataCoordinate=V.dataPosition=null;var Lt=!1;if(Yt&&ce._prevButtons)ce._mouseRotating=!0;else{ce._mouseRotating&&(Ce=!0),ce._mouseRotating=!1;for(var St=0;St<Ke;++St){var Et=ie[St].query(xr,Ge[1]-er-1,ce.pickRadius);if(Et){if(Et.distance>V.distance)continue;for(var dt=0;dt<xt;++dt){var Ht=Me[dt];if(ke[dt]===St){var $t=Ht.pick(Et);$t&&(V.buttons=Yt,V.screen=Et.coord,V.distance=Et.distance,V.object=Ht,V.index=$t.distance,V.dataPosition=$t.position,V.dataCoordinate=$t.dataCoordinate,V.data=$t,Lt=!0)}}}}}bt&&bt!==V.object&&(bt.highlight&&bt.highlight(null),Te=!0),V.object&&(V.object.highlight&&V.object.highlight(V.data),Te=!0),Lt=Lt||V.object!==bt,Lt&&ce.onselect&&ce.onselect(V),Yt&1&&!(ce._prevButtons&1)&&ce.onclick&&ce.onclick(V),ce._prevButtons=Yt}})};function qt(){if(ce.contextLost)return!0;F.isContextLost()&&(ce.contextLost=!0,ce.mouseListener.enabled=!1,ce.selection.object=null,ce.oncontextloss&&ce.oncontextloss())}P.addEventListener(\"webglcontextlost\",qt);function rt(){if(!qt()){F.colorMask(!0,!0,!0,!0),F.depthMask(!0),F.disable(F.BLEND),F.enable(F.DEPTH_TEST),F.depthFunc(F.LEQUAL);for(var Yt=Me.length,xr=ie.length,er=0;er<xr;++er){var Ke=ie[er];Ke.shape=Ge,Ke.begin();for(var xt=0;xt<Yt;++xt)if(ke[xt]===er){var bt=Me[xt];bt.drawPick&&(bt.pixelRatio=1,bt.drawPick(ze))}Ke.end()}}}var ot=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Rt=[ot[0].slice(),ot[1].slice()];function kt(){if(!qt()){nt();var Yt=ce.camera.tick();ze.view=ce.camera.matrix,Te=Te||Yt,Ce=Ce||Yt,re.pixelRatio=ce.pixelRatio,_e.pixelRatio=ce.pixelRatio;var xr=Me.length,er=ot[0],Ke=ot[1];er[0]=er[1]=er[2]=1/0,Ke[0]=Ke[1]=Ke[2]=-1/0;for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.pixelRatio=ce.pixelRatio,bt.axes=ce.axes,Te=Te||!!bt.dirty,Ce=Ce||!!bt.dirty;var Lt=bt.bounds;if(Lt)for(var St=Lt[0],Et=Lt[1],dt=0;dt<3;++dt)er[dt]=Math.min(er[dt],St[dt]),Ke[dt]=Math.max(Ke[dt],Et[dt])}var Ht=ce.bounds;if(ce.autoBounds)for(var dt=0;dt<3;++dt){if(Ke[dt]<er[dt])er[dt]=-1,Ke[dt]=1;else{er[dt]===Ke[dt]&&(er[dt]-=1,Ke[dt]+=1);var $t=.05*(Ke[dt]-er[dt]);er[dt]=er[dt]-$t,Ke[dt]=Ke[dt]+$t}Ht[0][dt]=er[dt],Ht[1][dt]=Ke[dt]}for(var fr=!1,dt=0;dt<3;++dt)fr=fr||Rt[0][dt]!==Ht[0][dt]||Rt[1][dt]!==Ht[1][dt],Rt[0][dt]=Ht[0][dt],Rt[1][dt]=Ht[1][dt];if(Ce=Ce||fr,Te=Te||fr,!!Te){if(fr){for(var _r=[0,0,0],xt=0;xt<3;++xt)_r[xt]=L((Ht[1][xt]-Ht[0][xt])/10);re.autoTicks?re.update({bounds:Ht,tickSpacing:_r}):re.update({bounds:Ht})}var Br=F.drawingBufferWidth,Or=F.drawingBufferHeight;me[0]=Br,me[1]=Or,Ge[0]=Math.max(Br/ce.pixelRatio,1)|0,Ge[1]=Math.max(Or/ce.pixelRatio,1)|0,M(ce,G);for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.axesBounds=Ht,ce.clipToBounds&&(bt.clipBounds=Ht)}V.object&&(ce.snapToData?_e.position=V.dataCoordinate:_e.position=V.dataPosition,_e.bounds=Ht),Ce&&(Ce=!1,rt()),ce.axesPixels=u(ce.axes,ze,Br,Or),ce.onrender&&ce.onrender(),F.bindFramebuffer(F.FRAMEBUFFER,null),F.viewport(0,0,Br,Or),ce.clearRGBA(),F.depthMask(!0),F.colorMask(!0,!0,!0,!0),F.enable(F.DEPTH_TEST),F.depthFunc(F.LEQUAL),F.disable(F.BLEND),F.disable(F.CULL_FACE);var Nr=!1;re.enable&&(Nr=Nr||re.isTransparent(),re.draw(ze)),_e.axes=re,V.object&&_e.draw(ze),F.disable(F.CULL_FACE);for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.axes=re,bt.pixelRatio=ce.pixelRatio,bt.isOpaque&&bt.isOpaque()&&bt.draw(ze),bt.isTransparent&&bt.isTransparent()&&(Nr=!0)}if(Nr){H.shape=me,H.bind(),F.clear(F.DEPTH_BUFFER_BIT),F.colorMask(!1,!1,!1,!1),F.depthMask(!0),F.depthFunc(F.LESS),re.enable&&re.isTransparent()&&re.drawTransparent(ze);for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.isOpaque&&bt.isOpaque()&&bt.draw(ze)}F.enable(F.BLEND),F.blendEquation(F.FUNC_ADD),F.blendFunc(F.ONE,F.ONE_MINUS_SRC_ALPHA),F.colorMask(!0,!0,!0,!0),F.depthMask(!1),F.clearColor(0,0,0,0),F.clear(F.COLOR_BUFFER_BIT),re.isTransparent()&&re.drawTransparent(ze);for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.isTransparent&&bt.isTransparent()&&bt.drawTransparent(ze)}F.bindFramebuffer(F.FRAMEBUFFER,null),F.blendFunc(F.ONE,F.ONE_MINUS_SRC_ALPHA),F.disable(F.DEPTH_TEST),X.bind(),H.color[0].bind(0),X.uniforms.accumBuffer=0,d(F),F.disable(F.BLEND)}Te=!1;for(var xt=0;xt<xr;++xt)Me[xt].dirty=!1}}}function Ct(){ce._stopped||ce.contextLost||(kt(),requestAnimationFrame(Ct))}return ce.enableMouseListeners(),Ct(),ce.redraw=function(){ce._stopped||(Te=!0,kt())},ce}function M(p,P){var T=p.bounds,F=p.cameraParams,q=F.projection,V=F.model,H=p.gl.drawingBufferWidth,X=p.gl.drawingBufferHeight,G=p.zNear,N=p.zFar,W=p.fovy,re=H/X;P?(b(q,-re,re,-1,1,G,N),F._ortho=!0):(x(q,W,re,G,N),F._ortho=!1);for(var ae=0;ae<16;++ae)V[ae]=0;V[15]=1;for(var _e=0,ae=0;ae<3;++ae)_e=Math.max(_e,T[1][ae]-T[0][ae]);for(var ae=0;ae<3;++ae)p.autoScale?V[5*ae]=p.aspect[ae]/(T[1][ae]-T[0][ae]):V[5*ae]=1/_e,p.autoCenter&&(V[12+ae]=-V[5*ae]*.5*(T[0][ae]+T[1][ae]))}},783:function(i){i.exports=a;function a(o,s,l,u){var c=s[0],f=s[1],h=s[2],d=s[3],v=l[0],x=l[1],b=l[2],g=l[3],E,k,A,L,_;return k=c*v+f*x+h*b+d*g,k<0&&(k=-k,v=-v,x=-x,b=-b,g=-g),1-k>1e-6?(E=Math.acos(k),A=Math.sin(E),L=Math.sin((1-u)*E)/A,_=Math.sin(u*E)/A):(L=1-u,_=u),o[0]=L*c+_*v,o[1]=L*f+_*x,o[2]=L*h+_*b,o[3]=L*d+_*g,o}},5964:function(i){\"use strict\";i.exports=function(a){return!a&&a!==0?\"\":a.toString()}},9366:function(i,a,o){\"use strict\";var s=o(4359);i.exports=u;var l={};function u(c,f,h){var d=[f.style,f.weight,f.variant,f.family].join(\"_\"),v=l[d];if(v||(v=l[d]={}),c in v)return v[c];var x={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:f.family,fontStyle:f.style,fontWeight:f.weight,fontVariant:f.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};x.triangles=!0;var b=s(c,x);x.triangles=!1;var g=s(c,x),E,k;if(h&&h!==1){for(E=0;E<b.positions.length;++E)for(k=0;k<b.positions[E].length;++k)b.positions[E][k]/=h;for(E=0;E<g.positions.length;++E)for(k=0;k<g.positions[E].length;++k)g.positions[E][k]/=h}var A=[[1/0,1/0],[-1/0,-1/0]],L=g.positions.length;for(E=0;E<L;++E){var _=g.positions[E];for(k=0;k<2;++k)A[0][k]=Math.min(A[0][k],_[k]),A[1][k]=Math.max(A[1][k],_[k])}return v[c]=[b,g,A]}},1283:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform vec4 highlightId;\n",
+       "uniform float highlightScale;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = 1.0;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      scale = highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    viewPosition = viewPosition / viewPosition.w;\n",
+       "    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float highlightScale, pixelRatio;\n",
+       "uniform vec4 highlightId;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = pixelRatio;\n",
+       "    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n",
+       "      scale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1.0);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    vec4 clipPosition = projection * viewPosition;\n",
+       "    clipPosition /= clipPosition.w;\n",
+       "\n",
+       "    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform float highlightScale;\n",
+       "uniform vec4 highlightId;\n",
+       "uniform vec3 axes[2];\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float scale, pixelRatio;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float lscale = pixelRatio * scale;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      lscale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\n",
+       "    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n",
+       "    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = dataPosition;\n",
+       "  }\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n",
+       "    interpColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "  gl_FragColor = interpColor * opacity;\n",
+       "}\n",
+       "`]),d=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float pickGroup;\n",
+       "\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickGroup, pickId.bgr);\n",
+       "}`]),v=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],x={vertex:u,fragment:h,attributes:v},b={vertex:c,fragment:h,attributes:v},g={vertex:f,fragment:h,attributes:v},E={vertex:u,fragment:d,attributes:v},k={vertex:c,fragment:d,attributes:v},A={vertex:f,fragment:d,attributes:v};function L(_,C){var M=s(_,C),p=M.attributes;return p.position.location=0,p.color.location=1,p.glyph.location=2,p.id.location=3,M}a.createPerspective=function(_){return L(_,x)},a.createOrtho=function(_){return L(_,b)},a.createProject=function(_){return L(_,g)},a.createPickPerspective=function(_){return L(_,E)},a.createPickOrtho=function(_){return L(_,k)},a.createPickProject=function(_){return L(_,A)}},8418:function(i,a,o){\"use strict\";var s=o(5219),l=o(2762),u=o(8116),c=o(1888),f=o(6760),h=o(1283),d=o(9366),v=o(5964),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],b=ArrayBuffer,g=DataView;function E(Ae){return b.isView(Ae)&&!(Ae instanceof g)}function k(Ae){return Array.isArray(Ae)||E(Ae)}i.exports=Ee;function A(Ae,ze){var Ce=Ae[0],me=Ae[1],Re=Ae[2],ce=Ae[3];return Ae[0]=ze[0]*Ce+ze[4]*me+ze[8]*Re+ze[12]*ce,Ae[1]=ze[1]*Ce+ze[5]*me+ze[9]*Re+ze[13]*ce,Ae[2]=ze[2]*Ce+ze[6]*me+ze[10]*Re+ze[14]*ce,Ae[3]=ze[3]*Ce+ze[7]*me+ze[11]*Re+ze[15]*ce,Ae}function L(Ae,ze,Ce,me){return A(me,me,Ce),A(me,me,ze),A(me,me,Ae)}function _(Ae,ze){this.index=Ae,this.dataCoordinate=this.position=ze}function C(Ae){return Ae===!0||Ae>1?1:Ae}function M(Ae,ze,Ce,me,Re,ce,Ge,nt,ct,qt,rt,ot){this.gl=Ae,this.pixelRatio=1,this.shader=ze,this.orthoShader=Ce,this.projectShader=me,this.pointBuffer=Re,this.colorBuffer=ce,this.glyphBuffer=Ge,this.idBuffer=nt,this.vao=ct,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[.6666666666666666,.6666666666666666,.6666666666666666],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=qt,this.pickOrthoShader=rt,this.pickProjectShader=ot,this.points=[],this._selectResult=new _(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}var p=M.prototype;p.pickSlots=1,p.setPickBase=function(Ae){this.pickId=Ae},p.isTransparent=function(){if(this.hasAlpha)return!0;for(var Ae=0;Ae<3;++Ae)if(this.axesProject[Ae]&&this.projectHasAlpha)return!0;return!1},p.isOpaque=function(){if(!this.hasAlpha)return!0;for(var Ae=0;Ae<3;++Ae)if(this.axesProject[Ae]&&!this.projectHasAlpha)return!0;return!1};var P=[0,0],T=[0,0,0],F=[0,0,0],q=[0,0,0,1],V=[0,0,0,1],H=x.slice(),X=[0,0,0],G=[[0,0,0],[0,0,0]];function N(Ae){return Ae[0]=Ae[1]=Ae[2]=0,Ae}function W(Ae,ze){return Ae[0]=ze[0],Ae[1]=ze[1],Ae[2]=ze[2],Ae[3]=1,Ae}function re(Ae,ze,Ce,me){return Ae[0]=ze[0],Ae[1]=ze[1],Ae[2]=ze[2],Ae[Ce]=me,Ae}function ae(Ae){for(var ze=G,Ce=0;Ce<2;++Ce)for(var me=0;me<3;++me)ze[Ce][me]=Math.max(Math.min(Ae[Ce][me],1e8),-1e8);return ze}function _e(Ae,ze,Ce,me){var Re=ze.axesProject,ce=ze.gl,Ge=Ae.uniforms,nt=Ce.model||x,ct=Ce.view||x,qt=Ce.projection||x,rt=ze.axesBounds,ot=ae(ze.clipBounds),Rt;ze.axes&&ze.axes.lastCubeProps?Rt=ze.axes.lastCubeProps.axis:Rt=[1,1,1],P[0]=2/ce.drawingBufferWidth,P[1]=2/ce.drawingBufferHeight,Ae.bind(),Ge.view=ct,Ge.projection=qt,Ge.screenSize=P,Ge.highlightId=ze.highlightId,Ge.highlightScale=ze.highlightScale,Ge.clipBounds=ot,Ge.pickGroup=ze.pickId/255,Ge.pixelRatio=me;for(var kt=0;kt<3;++kt)if(Re[kt]){Ge.scale=ze.projectScale[kt],Ge.opacity=ze.projectOpacity[kt];for(var Ct=H,Yt=0;Yt<16;++Yt)Ct[Yt]=0;for(var Yt=0;Yt<4;++Yt)Ct[5*Yt]=1;Ct[5*kt]=0,Rt[kt]<0?Ct[12+kt]=rt[0][kt]:Ct[12+kt]=rt[1][kt],f(Ct,nt,Ct),Ge.model=Ct;var xr=(kt+1)%3,er=(kt+2)%3,Ke=N(T),xt=N(F);Ke[xr]=1,xt[er]=1;var bt=L(qt,ct,nt,W(q,Ke)),Lt=L(qt,ct,nt,W(V,xt));if(Math.abs(bt[1])>Math.abs(Lt[1])){var St=bt;bt=Lt,Lt=St,St=Ke,Ke=xt,xt=St;var Et=xr;xr=er,er=Et}bt[0]<0&&(Ke[xr]=-1),Lt[1]>0&&(xt[er]=-1);for(var dt=0,Ht=0,Yt=0;Yt<4;++Yt)dt+=Math.pow(nt[4*xr+Yt],2),Ht+=Math.pow(nt[4*er+Yt],2);Ke[xr]/=Math.sqrt(dt),xt[er]/=Math.sqrt(Ht),Ge.axes[0]=Ke,Ge.axes[1]=xt,Ge.fragClipBounds[0]=re(X,ot[0],kt,-1e8),Ge.fragClipBounds[1]=re(X,ot[1],kt,1e8),ze.vao.bind(),ze.vao.draw(ce.TRIANGLES,ze.vertexCount),ze.lineWidth>0&&(ce.lineWidth(ze.lineWidth*me),ze.vao.draw(ce.LINES,ze.lineVertexCount,ze.vertexCount)),ze.vao.unbind()}}var Me=[-1e8,-1e8,-1e8],ke=[1e8,1e8,1e8],ge=[Me,ke];function ie(Ae,ze,Ce,me,Re,ce,Ge){var nt=Ce.gl;if((ce===Ce.projectHasAlpha||Ge)&&_e(ze,Ce,me,Re),ce===Ce.hasAlpha||Ge){Ae.bind();var ct=Ae.uniforms;ct.model=me.model||x,ct.view=me.view||x,ct.projection=me.projection||x,P[0]=2/nt.drawingBufferWidth,P[1]=2/nt.drawingBufferHeight,ct.screenSize=P,ct.highlightId=Ce.highlightId,ct.highlightScale=Ce.highlightScale,ct.fragClipBounds=ge,ct.clipBounds=Ce.axes.bounds,ct.opacity=Ce.opacity,ct.pickGroup=Ce.pickId/255,ct.pixelRatio=Re,Ce.vao.bind(),Ce.vao.draw(nt.TRIANGLES,Ce.vertexCount),Ce.lineWidth>0&&(nt.lineWidth(Ce.lineWidth*Re),Ce.vao.draw(nt.LINES,Ce.lineVertexCount,Ce.vertexCount)),Ce.vao.unbind()}}p.draw=function(Ae){var ze=this.useOrtho?this.orthoShader:this.shader;ie(ze,this.projectShader,this,Ae,this.pixelRatio,!1,!1)},p.drawTransparent=function(Ae){var ze=this.useOrtho?this.orthoShader:this.shader;ie(ze,this.projectShader,this,Ae,this.pixelRatio,!0,!1)},p.drawPick=function(Ae){var ze=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;ie(ze,this.pickProjectShader,this,Ae,1,!0,!0)},p.pick=function(Ae){if(!Ae||Ae.id!==this.pickId)return null;var ze=Ae.value[2]+(Ae.value[1]<<8)+(Ae.value[0]<<16);if(ze>=this.pointCount||ze<0)return null;var Ce=this.points[ze],me=this._selectResult;me.index=ze;for(var Re=0;Re<3;++Re)me.position[Re]=me.dataCoordinate[Re]=Ce[Re];return me},p.highlight=function(Ae){if(!Ae)this.highlightId=[1,1,1,1];else{var ze=Ae.index,Ce=ze&255,me=ze>>8&255,Re=ze>>16&255;this.highlightId=[Ce/255,me/255,Re/255,0]}};function Te(Ae,ze,Ce,me){var Re;k(Ae)?ze<Ae.length?Re=Ae[ze]:Re=void 0:Re=Ae,Re=v(Re);var ce=!0;s(Re)&&(Re=\"\\u25BC\",ce=!1),Ce||(Ce={});var Ge=Ce.family;k(Ge)&&(Ge=Ge[ze]),Ge||(Ge=\"normal\");var nt=Ce.weight;k(nt)&&(nt=nt[ze]),nt||(nt=\"normal\");var ct=Ce.style;k(ct)&&(ct=ct[ze]),ct||(ct=\"normal\");var qt=Ce.variant;k(qt)&&(qt=qt[ze]),qt||(qt=\"normal\");var rt=d(Re,{family:Ge,weight:nt,style:ct,variant:qt},me),rt=d(Re,Ce,me);return{mesh:rt[0],lines:rt[1],bounds:rt[2],visible:ce}}p.update=function(Ae){if(Ae=Ae||{},\"perspective\"in Ae&&(this.useOrtho=!Ae.perspective),\"orthographic\"in Ae&&(this.useOrtho=!!Ae.orthographic),\"lineWidth\"in Ae&&(this.lineWidth=Ae.lineWidth),\"project\"in Ae)if(k(Ae.project))this.axesProject=Ae.project;else{var ze=!!Ae.project;this.axesProject=[ze,ze,ze]}if(\"projectScale\"in Ae)if(k(Ae.projectScale))this.projectScale=Ae.projectScale.slice();else{var Ce=+Ae.projectScale;this.projectScale=[Ce,Ce,Ce]}if(this.projectHasAlpha=!1,\"projectOpacity\"in Ae){if(k(Ae.projectOpacity))this.projectOpacity=Ae.projectOpacity.slice();else{var Ce=+Ae.projectOpacity;this.projectOpacity=[Ce,Ce,Ce]}for(var me=0;me<3;++me)this.projectOpacity[me]=C(this.projectOpacity[me]),this.projectOpacity[me]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in Ae&&(this.opacity=C(Ae.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var Re=Ae.position,ce={family:Ae.font||\"normal\",style:Ae.fontStyle||\"normal\",weight:Ae.fontWeight||\"normal\",variant:Ae.fontVariant||\"normal\"},Ge=Ae.alignment||[0,0],nt,ct;if(Ge.length===2)nt=Ge[0],ct=Ge[1];else{nt=[],ct=[];for(var me=0;me<Ge.length;++me)nt[me]=Ge[me][0],ct[me]=Ge[me][1]}var qt=[1/0,1/0,1/0],rt=[-1/0,-1/0,-1/0],ot=Ae.glyph,Rt=Ae.color,kt=Ae.size,Ct=Ae.angle,Yt=Ae.lineColor,xr=-1,er=0,Ke=0,xt=0;if(Re.length){xt=Re.length;e:for(var me=0;me<xt;++me){for(var bt=Re[me],Lt=0;Lt<3;++Lt)if(isNaN(bt[Lt])||!isFinite(bt[Lt]))continue e;var St=Te(ot,me,ce,this.pixelRatio),Et=St.mesh,dt=St.lines,Ht=St.bounds;er+=Et.cells.length*3,Ke+=dt.edges.length*2}}var $t=er+Ke,fr=c.mallocFloat(3*$t),_r=c.mallocFloat(4*$t),Br=c.mallocFloat(2*$t),Or=c.mallocUint32($t);if($t>0){var Nr=0,ut=er,Ne=[0,0,0,1],Ye=[0,0,0,1],Ve=k(Rt)&&k(Rt[0]),Xe=k(Yt)&&k(Yt[0]);e:for(var me=0;me<xt;++me){xr+=1;for(var bt=Re[me],Lt=0;Lt<3;++Lt){if(isNaN(bt[Lt])||!isFinite(bt[Lt]))continue e;rt[Lt]=Math.max(rt[Lt],bt[Lt]),qt[Lt]=Math.min(qt[Lt],bt[Lt])}var St=Te(ot,me,ce,this.pixelRatio),Et=St.mesh,dt=St.lines,Ht=St.bounds,ht=St.visible;if(!ht)Ne=[1,1,1,0];else if(k(Rt)){var Le;if(Ve?me<Rt.length?Le=Rt[me]:Le=[0,0,0,0]:Le=Rt,Le.length===3){for(var Lt=0;Lt<3;++Lt)Ne[Lt]=Le[Lt];Ne[3]=1}else if(Le.length===4){for(var Lt=0;Lt<4;++Lt)Ne[Lt]=Le[Lt];!this.hasAlpha&&Le[3]<1&&(this.hasAlpha=!0)}}else Ne[0]=Ne[1]=Ne[2]=0,Ne[3]=1;if(!ht)Ye=[1,1,1,0];else if(k(Yt)){var Le;if(Xe?me<Yt.length?Le=Yt[me]:Le=[0,0,0,0]:Le=Yt,Le.length===3){for(var Lt=0;Lt<3;++Lt)Ye[Lt]=Le[Lt];Ye[Lt]=1}else if(Le.length===4){for(var Lt=0;Lt<4;++Lt)Ye[Lt]=Le[Lt];!this.hasAlpha&&Le[3]<1&&(this.hasAlpha=!0)}}else Ye[0]=Ye[1]=Ye[2]=0,Ye[3]=1;var xe=.5;ht?k(kt)?me<kt.length?xe=+kt[me]:xe=12:kt?xe=+kt:this.useOrtho&&(xe=12):xe=0;var Se=0;k(Ct)?me<Ct.length?Se=+Ct[me]:Se=0:Ct&&(Se=+Ct);for(var lt=Math.cos(Se),Gt=Math.sin(Se),bt=Re[me],Lt=0;Lt<3;++Lt)rt[Lt]=Math.max(rt[Lt],bt[Lt]),qt[Lt]=Math.min(qt[Lt],bt[Lt]);var Vt=nt,ar=ct,Vt=0;k(nt)?me<nt.length?Vt=nt[me]:Vt=0:nt&&(Vt=nt);var ar=0;k(ct)?me<ct.length?ar=ct[me]:ar=0:ct&&(ar=ct),Vt*=Vt>0?1-Ht[0][0]:Vt<0?1+Ht[1][0]:1,ar*=ar>0?1-Ht[0][1]:ar<0?1+Ht[1][1]:1;for(var Qr=[Vt,ar],nn=Et.cells||[],Wi=Et.positions||[],Lt=0;Lt<nn.length;++Lt)for(var ai=nn[Lt],jr=0;jr<3;++jr){for(var ri=0;ri<3;++ri)fr[3*Nr+ri]=bt[ri];for(var ri=0;ri<4;++ri)_r[4*Nr+ri]=Ne[ri];Or[Nr]=xr;var bi=Wi[ai[jr]];Br[2*Nr]=xe*(lt*bi[0]-Gt*bi[1]+Qr[0]),Br[2*Nr+1]=xe*(Gt*bi[0]+lt*bi[1]+Qr[1]),Nr+=1}for(var nn=dt.edges,Wi=dt.positions,Lt=0;Lt<nn.length;++Lt)for(var ai=nn[Lt],jr=0;jr<2;++jr){for(var ri=0;ri<3;++ri)fr[3*ut+ri]=bt[ri];for(var ri=0;ri<4;++ri)_r[4*ut+ri]=Ye[ri];Or[ut]=xr;var bi=Wi[ai[jr]];Br[2*ut]=xe*(lt*bi[0]-Gt*bi[1]+Qr[0]),Br[2*ut+1]=xe*(Gt*bi[0]+lt*bi[1]+Qr[1]),ut+=1}}}this.bounds=[qt,rt],this.points=Re,this.pointCount=Re.length,this.vertexCount=er,this.lineVertexCount=Ke,this.pointBuffer.update(fr),this.colorBuffer.update(_r),this.glyphBuffer.update(Br),this.idBuffer.update(Or),c.free(fr),c.free(_r),c.free(Br),c.free(Or)},p.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()};function Ee(Ae){var ze=Ae.gl,Ce=h.createPerspective(ze),me=h.createOrtho(ze),Re=h.createProject(ze),ce=h.createPickPerspective(ze),Ge=h.createPickOrtho(ze),nt=h.createPickProject(ze),ct=l(ze),qt=l(ze),rt=l(ze),ot=l(ze),Rt=u(ze,[{buffer:ct,size:3,type:ze.FLOAT},{buffer:qt,size:4,type:ze.FLOAT},{buffer:rt,size:2,type:ze.FLOAT},{buffer:ot,size:4,type:ze.UNSIGNED_BYTE,normalized:!0}]),kt=new M(ze,Ce,me,Re,ct,qt,rt,ot,Rt,ce,Ge,nt);return kt.update(Ae),kt}},3589:function(i,a,o){\"use strict\";i.exports=x;var s=o(2260),l=o(1888),u=o(9618),c=o(8828).nextPow2,f=function(b,g,E){for(var k=1e8,A=-1,L=-1,_=b.shape[0],C=b.shape[1],M=0;M<_;M++)for(var p=0;p<C;p++){var P=b.get(M,p,0),T=b.get(M,p,1),F=b.get(M,p,2),q=b.get(M,p,3);if(P<255||T<255||F<255||q<255){var V=g-M,H=E-p,X=V*V+H*H;X<k&&(k=X,A=M,L=p)}}return[A,L,k]};function h(b,g,E,k,A){this.coord=[b,g],this.id=E,this.value=k,this.distance=A}function d(b,g,E){this.gl=b,this.fbo=g,this.buffer=E,this._readTimeout=null;var k=this;this._readCallback=function(){k.gl&&(g.bind(),b.readPixels(0,0,g.shape[0],g.shape[1],b.RGBA,b.UNSIGNED_BYTE,k.buffer),k._readTimeout=null)}}var v=d.prototype;Object.defineProperty(v,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(b){if(this.gl){this.fbo.shape=b;var g=this.fbo.shape[0],E=this.fbo.shape[1];if(E*g*4>this.buffer.length){l.free(this.buffer);for(var k=this.buffer=l.mallocUint8(c(E*g*4)),A=0;A<E*g*4;++A)k[A]=255}return b}}}),v.begin=function(){var b=this.gl,g=this.shape;b&&(this.fbo.bind(),b.clearColor(1,1,1,1),b.clear(b.COLOR_BUFFER_BIT|b.DEPTH_BUFFER_BIT))},v.end=function(){var b=this.gl;b&&(b.bindFramebuffer(b.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},v.query=function(b,g,E){if(!this.gl)return null;var k=this.fbo.shape.slice();b=b|0,g=g|0,typeof E!=\"number\"&&(E=1);var A=Math.min(Math.max(b-E,0),k[0])|0,L=Math.min(Math.max(b+E,0),k[0])|0,_=Math.min(Math.max(g-E,0),k[1])|0,C=Math.min(Math.max(g+E,0),k[1])|0;if(L<=A||C<=_)return null;var M=[L-A,C-_],p=u(this.buffer,[M[0],M[1],4],[4,k[0]*4,1],4*(A+k[0]*_)),P=f(p.hi(M[0],M[1],1),E,E),T=P[0],F=P[1];if(T<0||Math.pow(this.radius,2)<P[2])return null;var q=p.get(T,F,0),V=p.get(T,F,1),H=p.get(T,F,2),X=p.get(T,F,3);return new h(T+A|0,F+_|0,q,[V,H,X],Math.sqrt(P[2]))},v.dispose=function(){this.gl&&(this.fbo.dispose(),l.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))};function x(b,g){var E=g[0],k=g[1],A={},L=s(b,E,k,A),_=l.mallocUint8(E*k*4);return new d(b,L,_)}},9405:function(i,a,o){\"use strict\";var s=o(3327),l=o(8731),u=o(216),c=o(5091),f=o(2145),h=o(8866);function d(g){this.gl=g,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var v=d.prototype;v.bind=function(){this.program||this._relink();var g,E=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),k=this.gl.lastAttribCount;if(E>k)for(g=k;g<E;g++)this.gl.enableVertexAttribArray(g);else if(k>E)for(g=E;g<k;g++)this.gl.disableVertexAttribArray(g);this.gl.lastAttribCount=E,this.gl.useProgram(this.program)},v.dispose=function(){for(var g=this.gl.lastAttribCount,E=0;E<g;E++)this.gl.disableVertexAttribArray(E);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null};function x(g,E){return g.name<E.name?-1:1}v.update=function(g,E,k,A){if(!E||arguments.length===1){var L=g;g=L.vertex,E=L.fragment,k=L.uniforms,A=L.attributes}var _=this,C=_.gl,M=_._vref;_._vref=c.shader(C,C.VERTEX_SHADER,g),M&&M.dispose(),_.vertShader=_._vref.shader;var p=this._fref;if(_._fref=c.shader(C,C.FRAGMENT_SHADER,E),p&&p.dispose(),_.fragShader=_._fref.shader,!k||!A){var P=C.createProgram();if(C.attachShader(P,_.fragShader),C.attachShader(P,_.vertShader),C.linkProgram(P),!C.getProgramParameter(P,C.LINK_STATUS)){var T=C.getProgramInfoLog(P);throw new h(T,\"Error linking program:\"+T)}k=k||f.uniforms(C,P),A=A||f.attributes(C,P),C.deleteProgram(P)}A=A.slice(),A.sort(x);var F=[],q=[],V=[],H;for(H=0;H<A.length;++H){var X=A[H];if(X.type.indexOf(\"mat\")>=0){for(var G=X.type.charAt(X.type.length-1)|0,N=new Array(G),W=0;W<G;++W)N[W]=V.length,q.push(X.name+\"[\"+W+\"]\"),typeof X.location==\"number\"?V.push(X.location+W):Array.isArray(X.location)&&X.location.length===G&&typeof X.location[W]==\"number\"?V.push(X.location[W]|0):V.push(-1);F.push({name:X.name,type:X.type,locations:N})}else F.push({name:X.name,type:X.type,locations:[V.length]}),q.push(X.name),typeof X.location==\"number\"?V.push(X.location|0):V.push(-1)}var re=0;for(H=0;H<V.length;++H)if(V[H]<0){for(;V.indexOf(re)>=0;)re+=1;V[H]=re}var ae=new Array(k.length);function _e(){_.program=c.program(C,_._vref,_._fref,q,V);for(var Me=0;Me<k.length;++Me)ae[Me]=C.getUniformLocation(_.program,k[Me].name)}_e(),_._relink=_e,_.types={uniforms:u(k),attributes:u(A)},_.attributes=l(C,_,F,V),Object.defineProperty(_,\"uniforms\",s(C,_,k,ae))};function b(g,E,k,A,L){var _=new d(g);return _.update(E,k,A,L),_}i.exports=b},8866:function(i){function a(o,s,l){this.shortMessage=s||\"\",this.longMessage=l||\"\",this.rawError=o||\"\",this.message=\"gl-shader: \"+(s||o||\"\")+(l?`\n",
+       "`+l:\"\"),this.stack=new Error().stack}a.prototype=new Error,a.prototype.name=\"GLError\",a.prototype.constructor=a,i.exports=a},8731:function(i,a,o){\"use strict\";i.exports=d;var s=o(8866);function l(v,x,b,g,E,k){this._gl=v,this._wrapper=x,this._index=b,this._locations=g,this._dimension=E,this._constFunc=k}var u=l.prototype;u.pointer=function(x,b,g,E){var k=this,A=k._gl,L=k._locations[k._index];A.vertexAttribPointer(L,k._dimension,x||A.FLOAT,!!b,g||0,E||0),A.enableVertexAttribArray(L)},u.set=function(v,x,b,g){return this._constFunc(this._locations[this._index],v,x,b,g)},Object.defineProperty(u,\"location\",{get:function(){return this._locations[this._index]},set:function(v){return v!==this._locations[this._index]&&(this._locations[this._index]=v|0,this._wrapper.program=null),v|0}});var c=[function(v,x,b){return b.length===void 0?v.vertexAttrib1f(x,b):v.vertexAttrib1fv(x,b)},function(v,x,b,g){return b.length===void 0?v.vertexAttrib2f(x,b,g):v.vertexAttrib2fv(x,b)},function(v,x,b,g,E){return b.length===void 0?v.vertexAttrib3f(x,b,g,E):v.vertexAttrib3fv(x,b)},function(v,x,b,g,E,k){return b.length===void 0?v.vertexAttrib4f(x,b,g,E,k):v.vertexAttrib4fv(x,b)}];function f(v,x,b,g,E,k,A){var L=c[E],_=new l(v,x,b,g,E,L);Object.defineProperty(k,A,{set:function(C){return v.disableVertexAttribArray(g[b]),L(v,g[b],C),C},get:function(){return _},enumerable:!0})}function h(v,x,b,g,E,k,A){for(var L=new Array(E),_=new Array(E),C=0;C<E;++C)f(v,x,b[C],g,E,L,C),_[C]=L[C];Object.defineProperty(L,\"location\",{set:function(P){if(Array.isArray(P))for(var T=0;T<E;++T)_[T].location=P[T];else for(var T=0;T<E;++T)_[T].location=P+T;return P},get:function(){for(var P=new Array(E),T=0;T<E;++T)P[T]=g[b[T]];return P},enumerable:!0}),L.pointer=function(P,T,F,q){P=P||v.FLOAT,T=!!T,F=F||E*E,q=q||0;for(var V=0;V<E;++V){var H=g[b[V]];v.vertexAttribPointer(H,E,P,T,F,q+V*E),v.enableVertexAttribArray(H)}};var M=new Array(E),p=v[\"vertexAttrib\"+E+\"fv\"];Object.defineProperty(k,A,{set:function(P){for(var T=0;T<E;++T){var F=g[b[T]];if(v.disableVertexAttribArray(F),Array.isArray(P[0]))p.call(v,F,P[T]);else{for(var q=0;q<E;++q)M[q]=P[E*T+q];p.call(v,F,M)}}return P},get:function(){return L},enumerable:!0})}function d(v,x,b,g){for(var E={},k=0,A=b.length;k<A;++k){var L=b[k],_=L.name,C=L.type,M=L.locations;switch(C){case\"bool\":case\"int\":case\"float\":f(v,x,M[0],g,1,E,_);break;default:if(C.indexOf(\"vec\")>=0){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+_+\": \"+C);f(v,x,M[0],g,p,E,_)}else if(C.indexOf(\"mat\")>=0){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+_+\": \"+C);h(v,x,M,g,p,E,_)}else throw new s(\"\",\"Unknown data type for attribute \"+_+\": \"+C);break}}return E}},3327:function(i,a,o){\"use strict\";var s=o(216),l=o(8866);i.exports=f;function u(h){return function(){return h}}function c(h,d){for(var v=new Array(h),x=0;x<h;++x)v[x]=d;return v}function f(h,d,v,x){function b(C){return function(M,p,P){return M.getUniform(p.program,P[C])}}function g(C){return function(p){for(var P=E(\"\",C),T=0;T<P.length;++T){var F=P[T],q=F[0],V=F[1];if(x[V]){var H=p;if(typeof q==\"string\"&&(q.indexOf(\".\")===0||q.indexOf(\"[\")===0)){var X=q;if(q.indexOf(\".\")===0&&(X=q.slice(1)),X.indexOf(\"]\")===X.length-1){var G=X.indexOf(\"[\"),N=X.slice(0,G),W=X.slice(G+1,X.length-1);H=N?p[N][W]:p[W]}else H=p[X]}var re=v[V].type,ae;switch(re){case\"bool\":case\"int\":case\"sampler2D\":case\"samplerCube\":h.uniform1i(x[V],H);break;case\"float\":h.uniform1f(x[V],H);break;default:var _e=re.indexOf(\"vec\");if(0<=_e&&_e<=1&&re.length===4+_e){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid data type\");switch(re.charAt(0)){case\"b\":case\"i\":h[\"uniform\"+ae+\"iv\"](x[V],H);break;case\"v\":h[\"uniform\"+ae+\"fv\"](x[V],H);break;default:throw new l(\"\",\"Unrecognized data type for vector \"+name+\": \"+re)}}else if(re.indexOf(\"mat\")===0&&re.length===4){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+re);h[\"uniformMatrix\"+ae+\"fv\"](x[V],!1,H);break}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+re)}}}}}function E(C,M){if(typeof M!=\"object\")return[[C,M]];var p=[];for(var P in M){var T=M[P],F=C;parseInt(P)+\"\"===P?F+=\"[\"+P+\"]\":F+=\".\"+P,typeof T==\"object\"?p.push.apply(p,E(F,T)):p.push([F,T])}return p}function k(C){switch(C){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":return 0;case\"float\":return 0;default:var M=C.indexOf(\"vec\");if(0<=M&&M<=1&&C.length===4+M){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new l(\"\",\"Invalid data type\");return C.charAt(0)===\"b\"?c(p,!1):c(p,0)}else if(C.indexOf(\"mat\")===0&&C.length===4){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+C);return c(p*p,0)}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+C)}}function A(C,M,p){if(typeof p==\"object\"){var P=L(p);Object.defineProperty(C,M,{get:u(P),set:g(p),enumerable:!0,configurable:!1})}else x[p]?Object.defineProperty(C,M,{get:b(p),set:g(p),enumerable:!0,configurable:!1}):C[M]=k(v[p].type)}function L(C){var M;if(Array.isArray(C)){M=new Array(C.length);for(var p=0;p<C.length;++p)A(M,p,C[p])}else{M={};for(var P in C)A(M,P,C[P])}return M}var _=s(v,!0);return{get:u(L(_)),set:g(_),enumerable:!0,configurable:!0}}},216:function(i){\"use strict\";i.exports=a;function a(o,s){for(var l={},u=0;u<o.length;++u)for(var c=o[u].name,f=c.split(\".\"),h=l,d=0;d<f.length;++d){var v=f[d].split(\"[\");if(v.length>1){v[0]in h||(h[v[0]]=[]),h=h[v[0]];for(var x=1;x<v.length;++x){var b=parseInt(v[x]);x<v.length-1||d<f.length-1?(b in h||(x<v.length-1?h[b]=[]:h[b]={}),h=h[b]):s?h[b]=u:h[b]=o[u].type}}else d<f.length-1?(v[0]in h||(h[v[0]]={}),h=h[v[0]]):s?h[v[0]]=u:h[v[0]]=o[u].type}return l}},2145:function(i,a){\"use strict\";a.uniforms=u,a.attributes=c;var o={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},s=null;function l(f,h){if(!s){var d=Object.keys(o);s={};for(var v=0;v<d.length;++v){var x=d[v];s[f[x]]=o[x]}}return s[h]}function u(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_UNIFORMS),v=[],x=0;x<d;++x){var b=f.getActiveUniform(h,x);if(b){var g=l(f,b.type);if(b.size>1)for(var E=0;E<b.size;++E)v.push({name:b.name.replace(\"[0]\",\"[\"+E+\"]\"),type:g});else v.push({name:b.name,type:g})}}return v}function c(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_ATTRIBUTES),v=[],x=0;x<d;++x){var b=f.getActiveAttrib(h,x);b&&v.push({name:b.name,type:l(f,b.type)})}return v}},5091:function(i,a,o){\"use strict\";a.shader=E,a.program=k;var s=o(8866),l=o(2992),u=typeof WeakMap==\"undefined\"?o(606):WeakMap,c=new u,f=0;function h(A,L,_,C,M,p,P){this.id=A,this.src=L,this.type=_,this.shader=C,this.count=p,this.programs=[],this.cache=P}h.prototype.dispose=function(){if(--this.count===0){for(var A=this.cache,L=A.gl,_=this.programs,C=0,M=_.length;C<M;++C){var p=A.programs[_[C]];p&&(delete A.programs[C],L.deleteProgram(p))}L.deleteShader(this.shader),delete A.shaders[this.type===L.FRAGMENT_SHADER|0][this.src]}};function d(A){this.gl=A,this.shaders=[{},{}],this.programs={}}var v=d.prototype;function x(A,L,_){var C=A.createShader(L);if(A.shaderSource(C,_),A.compileShader(C),!A.getShaderParameter(C,A.COMPILE_STATUS)){var M=A.getShaderInfoLog(C);try{var p=l(M,_,L)}catch(P){throw console.warn(\"Failed to format compiler error: \"+P),new s(M,`Error compiling shader:\n",
+       "`+M)}throw new s(M,p.short,p.long)}return C}v.getShaderReference=function(A,L){var _=this.gl,C=this.shaders[A===_.FRAGMENT_SHADER|0],M=C[L];if(!M||!_.isShader(M.shader)){var p=x(_,A,L);M=C[L]=new h(f++,L,A,p,[],1,this)}else M.count+=1;return M};function b(A,L,_,C,M){var p=A.createProgram();A.attachShader(p,L),A.attachShader(p,_);for(var P=0;P<C.length;++P)A.bindAttribLocation(p,M[P],C[P]);if(A.linkProgram(p),!A.getProgramParameter(p,A.LINK_STATUS)){var T=A.getProgramInfoLog(p);throw new s(T,\"Error linking program: \"+T)}return p}v.getProgram=function(A,L,_,C){var M=[A.id,L.id,_.join(\":\"),C.join(\":\")].join(\"@\"),p=this.programs[M];return(!p||!this.gl.isProgram(p))&&(this.programs[M]=p=b(this.gl,A.shader,L.shader,_,C),A.programs.push(M),L.programs.push(M)),p};function g(A){var L=c.get(A);return L||(L=new d(A),c.set(A,L)),L}function E(A,L,_){return g(A).getShaderReference(L,_)}function k(A,L,_,C,M){return g(A).getProgram(L,_,C,M)}},1493:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, color;\n",
+       "attribute float weight;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 coordinates[3];\n",
+       "uniform vec4 colors[3];\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float lineWidth;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 vertexPosition = mix(coordinates[0],\n",
+       "    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n",
+       "\n",
+       "  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\n",
+       "  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\n",
+       "  vec2 delta = weight * clipOffset * screenShape;\n",
+       "  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n",
+       "\n",
+       "  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n",
+       "  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n",
+       "}\n",
+       "`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},4449:function(i,a,o){\"use strict\";var s=o(2762),l=o(8116),u=o(1493);i.exports=b;var c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(g,E,k,A){this.gl=g,this.buffer=E,this.vao=k,this.shader=A,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var h=f.prototype,d=[0,0,0],v=[0,0,0],x=[0,0];h.isTransparent=function(){return!1},h.drawTransparent=function(g){},h.draw=function(g){var E=this.gl,k=this.vao,A=this.shader;k.bind(),A.bind();var L=g.model||c,_=g.view||c,C=g.projection||c,M;this.axes&&(M=this.axes.lastCubeProps.axis);for(var p=d,P=v,T=0;T<3;++T)M&&M[T]<0?(p[T]=this.bounds[0][T],P[T]=this.bounds[1][T]):(p[T]=this.bounds[1][T],P[T]=this.bounds[0][T]);x[0]=E.drawingBufferWidth,x[1]=E.drawingBufferHeight,A.uniforms.model=L,A.uniforms.view=_,A.uniforms.projection=C,A.uniforms.coordinates=[this.position,p,P],A.uniforms.colors=this.colors,A.uniforms.screenShape=x;for(var T=0;T<3;++T)A.uniforms.lineWidth=this.lineWidth[T]*this.pixelRatio,this.enabled[T]&&(k.draw(E.TRIANGLES,6,6*T),this.drawSides[T]&&k.draw(E.TRIANGLES,12,18+12*T));k.unbind()},h.update=function(g){g&&(\"bounds\"in g&&(this.bounds=g.bounds),\"position\"in g&&(this.position=g.position),\"lineWidth\"in g&&(this.lineWidth=g.lineWidth),\"colors\"in g&&(this.colors=g.colors),\"enabled\"in g&&(this.enabled=g.enabled),\"drawSides\"in g&&(this.drawSides=g.drawSides))},h.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function b(g,E){var k=[];function A(p,P,T,F,q,V){var H=[p,P,T,0,0,0,1];H[F+3]=1,H[F]=q,k.push.apply(k,H),H[6]=-1,k.push.apply(k,H),H[F]=V,k.push.apply(k,H),k.push.apply(k,H),H[6]=1,k.push.apply(k,H),H[F]=q,k.push.apply(k,H)}A(0,0,0,0,0,1),A(0,0,0,1,0,1),A(0,0,0,2,0,1),A(1,0,0,1,-1,1),A(1,0,0,2,-1,1),A(0,1,0,0,-1,1),A(0,1,0,2,-1,1),A(0,0,1,0,-1,1),A(0,0,1,1,-1,1);var L=s(g,k),_=l(g,[{type:g.FLOAT,buffer:L,size:3,offset:0,stride:28},{type:g.FLOAT,buffer:L,size:3,offset:12,stride:28},{type:g.FLOAT,buffer:L,size:1,offset:24,stride:28}]),C=u(g);C.attributes.position.location=0,C.attributes.color.location=1,C.attributes.weight.location=2;var M=new f(g,L,_,C);return M.update(E),M}},6740:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, tubeScale;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * tubePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n",
+       "  vec4 t_position  = view * tubePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = tubePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float tubeScale;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  gl_Position = projection * (view * tubePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(i,a,o){\"use strict\";var s=o(2931),l=o(9970),u=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],c=function(A,L,_,C){for(var M=A.points,p=A.velocities,P=A.divergences,T=[],F=[],q=[],V=[],H=[],X=[],G=0,N=0,W=l.create(),re=l.create(),ae=8,_e=0;_e<M.length;_e++){var Me=M[_e],ke=p[_e],ge=P[_e];L===0&&(ge=_*.05),N=s.length(ke)/C,W=l.create(),s.copy(W,ke),W[3]=ge;for(var ie=0;ie<ae;ie++)H[ie]=[Me[0],Me[1],Me[2],ie];if(V.length>0)for(var ie=0;ie<ae;ie++){var Te=(ie+1)%ae;T.push(V[ie],H[ie],H[Te],H[Te],V[Te],V[ie]),q.push(re,W,W,W,re,re),X.push(G,N,N,N,G,G);var Ee=T.length;F.push([Ee-6,Ee-5,Ee-4],[Ee-3,Ee-2,Ee-1])}var Ae=V;V=H,H=Ae;var ze=re;re=W,W=ze;var Ce=G;G=N,N=Ce}return{positions:T,cells:F,vectors:q,vertexIntensity:X}},f=function(A,L,_,C){for(var M=0,p=0;p<A.length;p++)for(var P=A[p].velocities,T=0;T<P.length;T++)M=Math.max(M,s.length(P[T]));for(var F=A.map(function(_e){return c(_e,_,C,M)}),q=[],V=[],H=[],X=[],p=0;p<F.length;p++){var G=F[p],N=q.length;q=q.concat(G.positions),H=H.concat(G.vectors),X=X.concat(G.vertexIntensity);for(var T=0;T<G.cells.length;T++){var W=G.cells[T],re=[];V.push(re);for(var ae=0;ae<W.length;ae++)re.push(W[ae]+N)}}return{positions:q,cells:V,vectors:H,vertexIntensity:X,colormap:L}},h=function(A,L){var _=A.length,C;for(C=0;C<_;C++){var M=A[C];if(M===L)return C;if(M>L)return C-1}return C},d=function(A,L,_){return A<L?L:A>_?_:A},v=function(A,L,_){var C=L.vectors,M=L.meshgrid,p=A[0],P=A[1],T=A[2],F=M[0].length,q=M[1].length,V=M[2].length,H=h(M[0],p),X=h(M[1],P),G=h(M[2],T),N=H+1,W=X+1,re=G+1;if(H=d(H,0,F-1),N=d(N,0,F-1),X=d(X,0,q-1),W=d(W,0,q-1),G=d(G,0,V-1),re=d(re,0,V-1),H<0||X<0||G<0||N>F-1||W>q-1||re>V-1)return s.create();var ae=M[0][H],_e=M[0][N],Me=M[1][X],ke=M[1][W],ge=M[2][G],ie=M[2][re],Te=(p-ae)/(_e-ae),Ee=(P-Me)/(ke-Me),Ae=(T-ge)/(ie-ge);isFinite(Te)||(Te=.5),isFinite(Ee)||(Ee=.5),isFinite(Ae)||(Ae=.5);var ze,Ce,me,Re,ce,Ge;switch(_.reversedX&&(H=F-1-H,N=F-1-N),_.reversedY&&(X=q-1-X,W=q-1-W),_.reversedZ&&(G=V-1-G,re=V-1-re),_.filled){case 5:ce=G,Ge=re,me=X*V,Re=W*V,ze=H*V*q,Ce=N*V*q;break;case 4:ce=G,Ge=re,ze=H*V,Ce=N*V,me=X*V*F,Re=W*V*F;break;case 3:me=X,Re=W,ce=G*q,Ge=re*q,ze=H*q*V,Ce=N*q*V;break;case 2:me=X,Re=W,ze=H*q,Ce=N*q,ce=G*q*F,Ge=re*q*F;break;case 1:ze=H,Ce=N,ce=G*F,Ge=re*F,me=X*F*V,Re=W*F*V;break;default:ze=H,Ce=N,me=X*F,Re=W*F,ce=G*F*q,Ge=re*F*q;break}var nt=C[ze+me+ce],ct=C[ze+me+Ge],qt=C[ze+Re+ce],rt=C[ze+Re+Ge],ot=C[Ce+me+ce],Rt=C[Ce+me+Ge],kt=C[Ce+Re+ce],Ct=C[Ce+Re+Ge],Yt=s.create(),xr=s.create(),er=s.create(),Ke=s.create();s.lerp(Yt,nt,ot,Te),s.lerp(xr,ct,Rt,Te),s.lerp(er,qt,kt,Te),s.lerp(Ke,rt,Ct,Te);var xt=s.create(),bt=s.create();s.lerp(xt,Yt,er,Ee),s.lerp(bt,xr,Ke,Ee);var Lt=s.create();return s.lerp(Lt,xt,bt,Ae),Lt},x=function(A,L){var _=L[0],C=L[1],M=L[2];return A[0]=_<0?-_:_,A[1]=C<0?-C:C,A[2]=M<0?-M:M,A},b=function(A){var L=1/0;A.sort(function(p,P){return p-P});for(var _=A.length,C=1;C<_;C++){var M=Math.abs(A[C]-A[C-1]);M<L&&(L=M)}return L},g=function(A){for(var L=[],_=[],C=[],M={},p={},P={},T=A.length,F=0;F<T;F++){var q=A[F],V=q[0],H=q[1],X=q[2];M[V]||(L.push(V),M[V]=!0),p[H]||(_.push(H),p[H]=!0),P[X]||(C.push(X),P[X]=!0)}var G=b(L),N=b(_),W=b(C),re=Math.min(G,N,W);return isFinite(re)?re:1};i.exports=function(A,L){var _=A.startingPositions,C=A.maxLength||1e3,M=A.tubeSize||1,p=A.absoluteTubeSize,P=A.gridFill||\"+x+y+z\",T={};P.indexOf(\"-x\")!==-1&&(T.reversedX=!0),P.indexOf(\"-y\")!==-1&&(T.reversedY=!0),P.indexOf(\"-z\")!==-1&&(T.reversedZ=!0),T.filled=u.indexOf(P.replace(/-/g,\"\").replace(/\\+/g,\"\"));var F=A.getVelocity||function(Rt){return v(Rt,A,T)},q=A.getDivergence||function(Rt,kt){var Ct=s.create(),Yt=1e-4;s.add(Ct,Rt,[Yt,0,0]);var xr=F(Ct);s.subtract(xr,xr,kt),s.scale(xr,xr,1/Yt),s.add(Ct,Rt,[0,Yt,0]);var er=F(Ct);s.subtract(er,er,kt),s.scale(er,er,1/Yt),s.add(Ct,Rt,[0,0,Yt]);var Ke=F(Ct);return s.subtract(Ke,Ke,kt),s.scale(Ke,Ke,1/Yt),s.add(Ct,xr,er),s.add(Ct,Ct,Ke),Ct},V=[],H=L[0][0],X=L[0][1],G=L[0][2],N=L[1][0],W=L[1][1],re=L[1][2],ae=function(Rt){var kt=Rt[0],Ct=Rt[1],Yt=Rt[2];return!(kt<H||kt>N||Ct<X||Ct>W||Yt<G||Yt>re)},_e=s.distance(L[0],L[1]),Me=10*_e/C,ke=Me*Me,ge=1,ie=0,Te=_.length;Te>1&&(ge=g(_));for(var Ee=0;Ee<Te;Ee++){var Ae=s.create();s.copy(Ae,_[Ee]);var ze=[Ae],Ce=[],me=F(Ae),Re=Ae;Ce.push(me);var ce=[],Ge=q(Ae,me),nt=s.length(Ge);isFinite(nt)&&nt>ie&&(ie=nt),ce.push(nt),V.push({points:ze,velocities:Ce,divergences:ce});for(var ct=0;ct<C*100&&ze.length<C&&ae(Ae);){ct++;var qt=s.clone(me),rt=s.squaredLength(qt);if(rt===0)break;if(rt>ke&&s.scale(qt,qt,Me/Math.sqrt(rt)),s.add(qt,qt,Ae),me=F(qt),s.squaredDistance(Re,qt)-ke>-1e-4*ke){ze.push(qt),Re=qt,Ce.push(me);var Ge=q(qt,me),nt=s.length(Ge);isFinite(nt)&&nt>ie&&(ie=nt),ce.push(nt)}Ae=qt}}var ot=f(V,A.colormap,ie,ge);return p?ot.tubeScale=p:(ie===0&&(ie=1),ot.tubeScale=M*.5*ge/ie),ot};var E=o(6740),k=o(6405).createMesh;i.exports.createTubeMesh=function(A,L){return k(A,L,{shaders:E,traceType:\"streamtube\"})}},990:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute vec3 f;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 lightPosition, eyePosition;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 localCoordinate = vec3(uv.zw, f.x);\n",
+       "  worldCoordinate = objectOffset + localCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  gl_Position = clipPosition;\n",
+       "  kill = f.y;\n",
+       "  value = f.z;\n",
+       "  planeCoordinate = uv.xy;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * worldPosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n",
+       "}\n",
+       "`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float beckmannSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness) {\n",
+       "  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 lowerBound, upperBound;\n",
+       "uniform float contourTint;\n",
+       "uniform vec4 contourColor;\n",
+       "uniform sampler2D colormap;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform float vertexColor;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    kill > 0.0 ||\n",
+       "    vColor.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(surfaceNormal);\n",
+       "  vec3 V = normalize(eyeDirection);\n",
+       "  vec3 L = normalize(lightDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  //decide how to interpolate color \\u2014 in vertex or in fragment\n",
+       "  vec4 surfaceColor =\n",
+       "    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n",
+       "    step(.5, vertexColor) * vColor;\n",
+       "\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n",
+       "}\n",
+       "`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute float f;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat3 permutation;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float height, zOffset;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n",
+       "  worldCoordinate = objectOffset + dataCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\n",
+       "\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  clipPosition.z += zOffset;\n",
+       "\n",
+       "  gl_Position = clipPosition;\n",
+       "  value = f + objectOffset.z;\n",
+       "  kill = -1.0;\n",
+       "  planeCoordinate = uv.zw;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Don't do lighting for contours\n",
+       "  surfaceNormal   = vec3(1,0,0);\n",
+       "  eyeDirection    = vec3(0,1,0);\n",
+       "  lightDirection  = vec3(0,0,1);\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec2 shape;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 surfaceNormal;\n",
+       "\n",
+       "vec2 splitFloat(float v) {\n",
+       "  float vh = 255.0 * v;\n",
+       "  float upper = floor(vh);\n",
+       "  float lower = fract(vh);\n",
+       "  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  if ((kill > 0.0) ||\n",
+       "      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n",
+       "\n",
+       "  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n",
+       "  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n",
+       "  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n",
+       "}\n",
+       "`]);a.createShader=function(d){var v=s(d,u,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createPickShader=function(d){var v=s(d,u,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createContourShader=function(d){var v=s(d,f,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v},a.createPickContourShader=function(d){var v=s(d,f,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v}},9499:function(i,a,o){\"use strict\";i.exports=ze;var s=o(8828),l=o(2762),u=o(8116),c=o(7766),f=o(1888),h=o(6729),d=o(5298),v=o(9994),x=o(9618),b=o(3711),g=o(6760),E=o(7608),k=o(2478),A=o(6199),L=o(990),_=L.createShader,C=L.createContourShader,M=L.createPickShader,p=L.createPickContourShader,P=4*10,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],F=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],q=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];(function(){for(var Ce=0;Ce<3;++Ce){var me=q[Ce],Re=(Ce+1)%3,ce=(Ce+2)%3;me[Re+0]=1,me[ce+3]=1,me[Ce+6]=1}})();function V(Ce,me,Re,ce,Ge){this.position=Ce,this.index=me,this.uv=Re,this.level=ce,this.dataCoordinate=Ge}var H=256;function X(Ce,me,Re,ce,Ge,nt,ct,qt,rt,ot,Rt,kt,Ct,Yt,xr){this.gl=Ce,this.shape=me,this.bounds=Re,this.objectOffset=xr,this.intensityBounds=[],this._shader=ce,this._pickShader=Ge,this._coordinateBuffer=nt,this._vao=ct,this._colorMap=qt,this._contourShader=rt,this._contourPickShader=ot,this._contourBuffer=Rt,this._contourVAO=kt,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new V([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=Ct,this._dynamicVAO=Yt,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[x(f.mallocFloat(1024),[0,0]),x(f.mallocFloat(1024),[0,0]),x(f.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var G=X.prototype;G.genColormap=function(Ce,me){var Re=!1,ce=v([h({colormap:Ce,nshades:H,format:\"rgba\"}).map(function(Ge,nt){var ct=me?N(nt/255,me):Ge[3];return ct<1&&(Re=!0),[Ge[0],Ge[1],Ge[2],255*ct]})]);return d.divseq(ce,255),this.hasAlphaScale=Re,ce},G.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},G.isOpaque=function(){return!this.isTransparent()},G.pickSlots=1,G.setPickBase=function(Ce){this.pickId=Ce};function N(Ce,me){if(!me||!me.length)return 1;for(var Re=0;Re<me.length;++Re){if(me.length<2)return 1;if(me[Re][0]===Ce)return me[Re][1];if(me[Re][0]>Ce&&Re>0){var ce=(me[Re][0]-Ce)/(me[Re][0]-me[Re-1][0]);return me[Re][1]*(1-ce)+ce*me[Re-1][1]}}return 1}var W=[0,0,0],re={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function ae(Ce,me){var Re,ce,Ge,nt=me.axes&&me.axes.lastCubeProps.axis||W,ct=me.showSurface,qt=me.showContour;for(Re=0;Re<3;++Re)for(ct=ct||me.surfaceProject[Re],ce=0;ce<3;++ce)qt=qt||me.contourProject[Re][ce];for(Re=0;Re<3;++Re){var rt=re.projections[Re];for(ce=0;ce<16;++ce)rt[ce]=0;for(ce=0;ce<4;++ce)rt[5*ce]=1;rt[5*Re]=0,rt[12+Re]=me.axesBounds[+(nt[Re]>0)][Re],g(rt,Ce.model,rt);var ot=re.clipBounds[Re];for(Ge=0;Ge<2;++Ge)for(ce=0;ce<3;++ce)ot[Ge][ce]=Ce.clipBounds[Ge][ce];ot[0][Re]=-1e8,ot[1][Re]=1e8}return re.showSurface=ct,re.showContour=qt,re}var _e={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},Me=T.slice(),ke=[1,0,0,0,1,0,0,0,1];function ge(Ce,me){Ce=Ce||{};var Re=this.gl;Re.disable(Re.CULL_FACE),this._colorMap.bind(0);var ce=_e;ce.model=Ce.model||T,ce.view=Ce.view||T,ce.projection=Ce.projection||T,ce.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],ce.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],ce.objectOffset=this.objectOffset,ce.contourColor=this.contourColor[0],ce.inverseModel=E(ce.inverseModel,ce.model);for(var Ge=0;Ge<2;++Ge)for(var nt=ce.clipBounds[Ge],ct=0;ct<3;++ct)nt[ct]=Math.min(Math.max(this.clipBounds[Ge][ct],-1e8),1e8);ce.kambient=this.ambientLight,ce.kdiffuse=this.diffuseLight,ce.kspecular=this.specularLight,ce.roughness=this.roughness,ce.fresnel=this.fresnel,ce.opacity=this.opacity,ce.height=0,ce.permutation=ke,ce.vertexColor=this.vertexColor;var qt=Me;for(g(qt,ce.view,ce.model),g(qt,ce.projection,qt),E(qt,qt),Ge=0;Ge<3;++Ge)ce.eyePosition[Ge]=qt[12+Ge]/qt[15];var rt=qt[15];for(Ge=0;Ge<3;++Ge)rt+=this.lightPosition[Ge]*qt[4*Ge+3];for(Ge=0;Ge<3;++Ge){var ot=qt[12+Ge];for(ct=0;ct<3;++ct)ot+=qt[4*ct+Ge]*this.lightPosition[ct];ce.lightPosition[Ge]=ot/rt}var Rt=ae(ce,this);if(Rt.showSurface){for(this._shader.bind(),this._shader.uniforms=ce,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(Re.TRIANGLES,this._vertexCount),Ge=0;Ge<3;++Ge)!this.surfaceProject[Ge]||!this.vertexCount||(this._shader.uniforms.model=Rt.projections[Ge],this._shader.uniforms.clipBounds=Rt.clipBounds[Ge],this._vao.draw(Re.TRIANGLES,this._vertexCount));this._vao.unbind()}if(Rt.showContour){var kt=this._contourShader;ce.kambient=1,ce.kdiffuse=0,ce.kspecular=0,ce.opacity=1,kt.bind(),kt.uniforms=ce;var Ct=this._contourVAO;for(Ct.bind(),Ge=0;Ge<3;++Ge)for(kt.uniforms.permutation=q[Ge],Re.lineWidth(this.contourWidth[Ge]*this.pixelRatio),ct=0;ct<this.contourLevels[Ge].length;++ct)ct===this.highlightLevel[Ge]?(kt.uniforms.contourColor=this.highlightColor[Ge],kt.uniforms.contourTint=this.highlightTint[Ge]):(ct===0||ct-1===this.highlightLevel[Ge])&&(kt.uniforms.contourColor=this.contourColor[Ge],kt.uniforms.contourTint=this.contourTint[Ge]),this._contourCounts[Ge][ct]&&(kt.uniforms.height=this.contourLevels[Ge][ct],Ct.draw(Re.LINES,this._contourCounts[Ge][ct],this._contourOffsets[Ge][ct]));for(Ge=0;Ge<3;++Ge)for(kt.uniforms.model=Rt.projections[Ge],kt.uniforms.clipBounds=Rt.clipBounds[Ge],ct=0;ct<3;++ct)if(this.contourProject[Ge][ct]){kt.uniforms.permutation=q[ct],Re.lineWidth(this.contourWidth[ct]*this.pixelRatio);for(var Yt=0;Yt<this.contourLevels[ct].length;++Yt)Yt===this.highlightLevel[ct]?(kt.uniforms.contourColor=this.highlightColor[ct],kt.uniforms.contourTint=this.highlightTint[ct]):(Yt===0||Yt-1===this.highlightLevel[ct])&&(kt.uniforms.contourColor=this.contourColor[ct],kt.uniforms.contourTint=this.contourTint[ct]),this._contourCounts[ct][Yt]&&(kt.uniforms.height=this.contourLevels[ct][Yt],Ct.draw(Re.LINES,this._contourCounts[ct][Yt],this._contourOffsets[ct][Yt]))}for(Ct.unbind(),Ct=this._dynamicVAO,Ct.bind(),Ge=0;Ge<3;++Ge)if(this._dynamicCounts[Ge]!==0)for(kt.uniforms.model=ce.model,kt.uniforms.clipBounds=ce.clipBounds,kt.uniforms.permutation=q[Ge],Re.lineWidth(this.dynamicWidth[Ge]*this.pixelRatio),kt.uniforms.contourColor=this.dynamicColor[Ge],kt.uniforms.contourTint=this.dynamicTint[Ge],kt.uniforms.height=this.dynamicLevel[Ge],Ct.draw(Re.LINES,this._dynamicCounts[Ge],this._dynamicOffsets[Ge]),ct=0;ct<3;++ct)this.contourProject[ct][Ge]&&(kt.uniforms.model=Rt.projections[ct],kt.uniforms.clipBounds=Rt.clipBounds[ct],Ct.draw(Re.LINES,this._dynamicCounts[Ge],this._dynamicOffsets[Ge]));Ct.unbind()}}G.draw=function(Ce){return ge.call(this,Ce,!1)},G.drawTransparent=function(Ce){return ge.call(this,Ce,!0)};var ie={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};G.drawPick=function(Ce){Ce=Ce||{};var me=this.gl;me.disable(me.CULL_FACE);var Re=ie;Re.model=Ce.model||T,Re.view=Ce.view||T,Re.projection=Ce.projection||T,Re.shape=this._field[2].shape,Re.pickId=this.pickId/255,Re.lowerBound=this.bounds[0],Re.upperBound=this.bounds[1],Re.objectOffset=this.objectOffset,Re.permutation=ke;for(var ce=0;ce<2;++ce)for(var Ge=Re.clipBounds[ce],nt=0;nt<3;++nt)Ge[nt]=Math.min(Math.max(this.clipBounds[ce][nt],-1e8),1e8);var ct=ae(Re,this);if(ct.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=Re,this._vao.bind(),this._vao.draw(me.TRIANGLES,this._vertexCount),ce=0;ce<3;++ce)this.surfaceProject[ce]&&(this._pickShader.uniforms.model=ct.projections[ce],this._pickShader.uniforms.clipBounds=ct.clipBounds[ce],this._vao.draw(me.TRIANGLES,this._vertexCount));this._vao.unbind()}if(ct.showContour){var qt=this._contourPickShader;qt.bind(),qt.uniforms=Re;var rt=this._contourVAO;for(rt.bind(),nt=0;nt<3;++nt)for(me.lineWidth(this.contourWidth[nt]*this.pixelRatio),qt.uniforms.permutation=q[nt],ce=0;ce<this.contourLevels[nt].length;++ce)this._contourCounts[nt][ce]&&(qt.uniforms.height=this.contourLevels[nt][ce],rt.draw(me.LINES,this._contourCounts[nt][ce],this._contourOffsets[nt][ce]));for(ce=0;ce<3;++ce)for(qt.uniforms.model=ct.projections[ce],qt.uniforms.clipBounds=ct.clipBounds[ce],nt=0;nt<3;++nt)if(this.contourProject[ce][nt]){qt.uniforms.permutation=q[nt],me.lineWidth(this.contourWidth[nt]*this.pixelRatio);for(var ot=0;ot<this.contourLevels[nt].length;++ot)this._contourCounts[nt][ot]&&(qt.uniforms.height=this.contourLevels[nt][ot],rt.draw(me.LINES,this._contourCounts[nt][ot],this._contourOffsets[nt][ot]))}rt.unbind()}},G.pick=function(Ce){if(!Ce||Ce.id!==this.pickId)return null;var me=this._field[2].shape,Re=this._pickResult,ce=me[0]*(Ce.value[0]+(Ce.value[2]>>4)/16)/255,Ge=Math.floor(ce),nt=ce-Ge,ct=me[1]*(Ce.value[1]+(Ce.value[2]&15)/16)/255,qt=Math.floor(ct),rt=ct-qt;Ge+=1,qt+=1;var ot=Re.position;ot[0]=ot[1]=ot[2]=0;for(var Rt=0;Rt<2;++Rt)for(var kt=Rt?nt:1-nt,Ct=0;Ct<2;++Ct)for(var Yt=Ct?rt:1-rt,xr=Ge+Rt,er=qt+Ct,Ke=kt*Yt,xt=0;xt<3;++xt)ot[xt]+=this._field[xt].get(xr,er)*Ke;for(var bt=this._pickResult.level,Lt=0;Lt<3;++Lt)if(bt[Lt]=k.le(this.contourLevels[Lt],ot[Lt]),bt[Lt]<0)this.contourLevels[Lt].length>0&&(bt[Lt]=0);else if(bt[Lt]<this.contourLevels[Lt].length-1){var St=this.contourLevels[Lt][bt[Lt]],Et=this.contourLevels[Lt][bt[Lt]+1];Math.abs(St-ot[Lt])>Math.abs(Et-ot[Lt])&&(bt[Lt]+=1)}for(Re.index[0]=nt<.5?Ge:Ge+1,Re.index[1]=rt<.5?qt:qt+1,Re.uv[0]=ce/me[0],Re.uv[1]=ct/me[1],xt=0;xt<3;++xt)Re.dataCoordinate[xt]=this._field[xt].get(Re.index[0],Re.index[1]);return Re},G.padField=function(Ce,me){var Re=me.shape.slice(),ce=Ce.shape.slice();d.assign(Ce.lo(1,1).hi(Re[0],Re[1]),me),d.assign(Ce.lo(1).hi(Re[0],1),me.hi(Re[0],1)),d.assign(Ce.lo(1,ce[1]-1).hi(Re[0],1),me.lo(0,Re[1]-1).hi(Re[0],1)),d.assign(Ce.lo(0,1).hi(1,Re[1]),me.hi(1)),d.assign(Ce.lo(ce[0]-1,1).hi(1,Re[1]),me.lo(Re[0]-1)),Ce.set(0,0,me.get(0,0)),Ce.set(0,ce[1]-1,me.get(0,Re[1]-1)),Ce.set(ce[0]-1,0,me.get(Re[0]-1,0)),Ce.set(ce[0]-1,ce[1]-1,me.get(Re[0]-1,Re[1]-1))};function Te(Ce,me){return Array.isArray(Ce)?[me(Ce[0]),me(Ce[1]),me(Ce[2])]:[me(Ce),me(Ce),me(Ce)]}function Ee(Ce){return Array.isArray(Ce)?Ce.length===3?[Ce[0],Ce[1],Ce[2],1]:[Ce[0],Ce[1],Ce[2],Ce[3]]:[0,0,0,1]}function Ae(Ce){if(Array.isArray(Ce)){if(Array.isArray(Ce))return[Ee(Ce[0]),Ee(Ce[1]),Ee(Ce[2])];var me=Ee(Ce);return[me.slice(),me.slice(),me.slice()]}}G.update=function(Ce){Ce=Ce||{},this.objectOffset=Ce.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in Ce&&(this.contourWidth=Te(Ce.contourWidth,Number)),\"showContour\"in Ce&&(this.showContour=Te(Ce.showContour,Boolean)),\"showSurface\"in Ce&&(this.showSurface=!!Ce.showSurface),\"contourTint\"in Ce&&(this.contourTint=Te(Ce.contourTint,Boolean)),\"contourColor\"in Ce&&(this.contourColor=Ae(Ce.contourColor)),\"contourProject\"in Ce&&(this.contourProject=Te(Ce.contourProject,function(Gi){return Te(Gi,Boolean)})),\"surfaceProject\"in Ce&&(this.surfaceProject=Ce.surfaceProject),\"dynamicColor\"in Ce&&(this.dynamicColor=Ae(Ce.dynamicColor)),\"dynamicTint\"in Ce&&(this.dynamicTint=Te(Ce.dynamicTint,Number)),\"dynamicWidth\"in Ce&&(this.dynamicWidth=Te(Ce.dynamicWidth,Number)),\"opacity\"in Ce&&(this.opacity=Ce.opacity),\"opacityscale\"in Ce&&(this.opacityscale=Ce.opacityscale),\"colorBounds\"in Ce&&(this.colorBounds=Ce.colorBounds),\"vertexColor\"in Ce&&(this.vertexColor=Ce.vertexColor?1:0),\"colormap\"in Ce&&this._colorMap.setPixels(this.genColormap(Ce.colormap,this.opacityscale));var me=Ce.field||Ce.coords&&Ce.coords[2]||null,Re=!1;if(me||(this._field[2].shape[0]||this._field[2].shape[2]?me=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):me=this._field[2].hi(0,0)),\"field\"in Ce||\"coords\"in Ce){var ce=(me.shape[0]+2)*(me.shape[1]+2);ce>this._field[2].data.length&&(f.freeFloat(this._field[2].data),this._field[2].data=f.mallocFloat(s.nextPow2(ce))),this._field[2]=x(this._field[2].data,[me.shape[0]+2,me.shape[1]+2]),this.padField(this._field[2],me),this.shape=me.shape.slice();for(var Ge=this.shape,nt=0;nt<2;++nt)this._field[2].size>this._field[nt].data.length&&(f.freeFloat(this._field[nt].data),this._field[nt].data=f.mallocFloat(this._field[2].size)),this._field[nt]=x(this._field[nt].data,[Ge[0]+2,Ge[1]+2]);if(Ce.coords){var ct=Ce.coords;if(!Array.isArray(ct)||ct.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(nt=0;nt<2;++nt){var qt=ct[nt];for(Ct=0;Ct<2;++Ct)if(qt.shape[Ct]!==Ge[Ct])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[nt],qt)}}else if(Ce.ticks){var rt=Ce.ticks;if(!Array.isArray(rt)||rt.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(nt=0;nt<2;++nt){var ot=rt[nt];if((Array.isArray(ot)||ot.length)&&(ot=x(ot)),ot.shape[0]!==Ge[nt])throw new Error(\"gl-surface: invalid tick length\");var Rt=x(ot.data,Ge);Rt.stride[nt]=ot.stride[0],Rt.stride[nt^1]=0,this.padField(this._field[nt],Rt)}}else{for(nt=0;nt<2;++nt){var kt=[0,0];kt[nt]=1,this._field[nt]=x(this._field[nt].data,[Ge[0]+2,Ge[1]+2],kt,0)}this._field[0].set(0,0,0);for(var Ct=0;Ct<Ge[0];++Ct)this._field[0].set(Ct+1,0,Ct);for(this._field[0].set(Ge[0]+1,0,Ge[0]-1),this._field[1].set(0,0,0),Ct=0;Ct<Ge[1];++Ct)this._field[1].set(0,Ct+1,Ct);this._field[1].set(0,Ge[1]+1,Ge[1]-1)}var Yt=this._field,xr=x(f.mallocFloat(Yt[2].size*3*2),[3,Ge[0]+2,Ge[1]+2,2]);for(nt=0;nt<3;++nt)A(xr.pick(nt),Yt[nt],\"mirror\");var er=x(f.mallocFloat(Yt[2].size*3),[Ge[0]+2,Ge[1]+2,3]);for(nt=0;nt<Ge[0]+2;++nt)for(Ct=0;Ct<Ge[1]+2;++Ct){var Ke=xr.get(0,nt,Ct,0),xt=xr.get(0,nt,Ct,1),bt=xr.get(1,nt,Ct,0),Lt=xr.get(1,nt,Ct,1),St=xr.get(2,nt,Ct,0),Et=xr.get(2,nt,Ct,1),dt=bt*Et-Lt*St,Ht=St*xt-Et*Ke,$t=Ke*Lt-xt*bt,fr=Math.sqrt(dt*dt+Ht*Ht+$t*$t);fr<1e-8?(fr=Math.max(Math.abs(dt),Math.abs(Ht),Math.abs($t)),fr<1e-8?($t=1,Ht=dt=0,fr=1):fr=1/fr):fr=1/Math.sqrt(fr),er.set(nt,Ct,0,dt*fr),er.set(nt,Ct,1,Ht*fr),er.set(nt,Ct,2,$t*fr)}f.free(xr.data);var _r=[1/0,1/0,1/0],Br=[-1/0,-1/0,-1/0],Or=1/0,Nr=-1/0,ut=(Ge[0]-1)*(Ge[1]-1)*6,Ne=f.mallocFloat(s.nextPow2(10*ut)),Ye=0,Ve=0;for(nt=0;nt<Ge[0]-1;++nt)e:for(Ct=0;Ct<Ge[1]-1;++Ct){for(var Xe=0;Xe<2;++Xe)for(var ht=0;ht<2;++ht)for(var Le=0;Le<3;++Le){var xe=this._field[Le].get(1+nt+Xe,1+Ct+ht);if(isNaN(xe)||!isFinite(xe))continue e}for(Le=0;Le<6;++Le){var Se=nt+F[Le][0],lt=Ct+F[Le][1],Gt=this._field[0].get(Se+1,lt+1),Vt=this._field[1].get(Se+1,lt+1);xe=this._field[2].get(Se+1,lt+1),dt=er.get(Se+1,lt+1,0),Ht=er.get(Se+1,lt+1,1),$t=er.get(Se+1,lt+1,2),Ce.intensity&&(ar=Ce.intensity.get(Se,lt));var ar=Ce.intensity?Ce.intensity.get(Se,lt):xe+this.objectOffset[2];Ne[Ye++]=Se,Ne[Ye++]=lt,Ne[Ye++]=Gt,Ne[Ye++]=Vt,Ne[Ye++]=xe,Ne[Ye++]=0,Ne[Ye++]=ar,Ne[Ye++]=dt,Ne[Ye++]=Ht,Ne[Ye++]=$t,_r[0]=Math.min(_r[0],Gt+this.objectOffset[0]),_r[1]=Math.min(_r[1],Vt+this.objectOffset[1]),_r[2]=Math.min(_r[2],xe+this.objectOffset[2]),Or=Math.min(Or,ar),Br[0]=Math.max(Br[0],Gt+this.objectOffset[0]),Br[1]=Math.max(Br[1],Vt+this.objectOffset[1]),Br[2]=Math.max(Br[2],xe+this.objectOffset[2]),Nr=Math.max(Nr,ar),Ve+=1}}for(Ce.intensityBounds&&(Or=+Ce.intensityBounds[0],Nr=+Ce.intensityBounds[1]),nt=6;nt<Ye;nt+=10)Ne[nt]=(Ne[nt]-Or)/(Nr-Or);this._vertexCount=Ve,this._coordinateBuffer.update(Ne.subarray(0,Ye)),f.freeFloat(Ne),f.free(er.data),this.bounds=[_r,Br],this.intensity=Ce.intensity||this._field[2],(this.intensityBounds[0]!==Or||this.intensityBounds[1]!==Nr)&&(Re=!0),this.intensityBounds=[Or,Nr]}if(\"levels\"in Ce){var Qr=Ce.levels;for(Array.isArray(Qr[0])?Qr=Qr.slice():Qr=[[],[],Qr],nt=0;nt<3;++nt)Qr[nt]=Qr[nt].slice(),Qr[nt].sort(function(Gi,Ki){return Gi-Ki});for(nt=0;nt<3;++nt)for(Ct=0;Ct<Qr[nt].length;++Ct)Qr[nt][Ct]-=this.objectOffset[nt];e:for(nt=0;nt<3;++nt){if(Qr[nt].length!==this.contourLevels[nt].length){Re=!0;break}for(Ct=0;Ct<Qr[nt].length;++Ct)if(Qr[nt][Ct]!==this.contourLevels[nt][Ct]){Re=!0;break e}}this.contourLevels=Qr}if(Re){Yt=this._field,Ge=this.shape;for(var ai=[],jr=0;jr<3;++jr){var ri=this.contourLevels[jr],bi=[],nn=[],Wi=[0,0,0];for(nt=0;nt<ri.length;++nt){var Ni=b(this._field[jr],ri[nt]);bi.push(ai.length/5|0),Ve=0;e:for(Ct=0;Ct<Ni.cells.length;++Ct){var _n=Ni.cells[Ct];for(Le=0;Le<2;++Le){var $i=Ni.positions[_n[Le]],zn=$i[0],Wn=Math.floor(zn)|0,It=zn-Wn,ft=$i[1],jt=Math.floor(ft)|0,Zt=ft-jt,yr=!1;t:for(var Fr=0;Fr<3;++Fr){Wi[Fr]=0;var Zr=(jr+Fr+1)%3;for(Xe=0;Xe<2;++Xe){var Vr=Xe?It:1-It;for(Se=Math.min(Math.max(Wn+Xe,0),Ge[0])|0,ht=0;ht<2;++ht){var gi=ht?Zt:1-Zt;if(lt=Math.min(Math.max(jt+ht,0),Ge[1])|0,Fr<2?xe=this._field[Zr].get(Se,lt):xe=(this.intensity.get(Se,lt)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(xe)||isNaN(xe)){yr=!0;break t}var Si=Vr*gi;Wi[Fr]+=Si*xe}}}if(!yr)ai.push(Wi[0],Wi[1],$i[0],$i[1],Wi[2]),Ve+=1;else{if(Le>0){for(var Mi=0;Mi<5;++Mi)ai.pop();Ve-=1}continue e}}}nn.push(Ve)}this._contourOffsets[jr]=bi,this._contourCounts[jr]=nn}var Pi=f.mallocFloat(ai.length);for(nt=0;nt<ai.length;++nt)Pi[nt]=ai[nt];this._contourBuffer.update(Pi),f.freeFloat(Pi)}},G.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var Ce=0;Ce<3;++Ce)f.freeFloat(this._field[Ce].data)},G.highlight=function(Ce){var me;if(!Ce){this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],this.highlightLevel=[-1,-1,-1];return}for(me=0;me<3;++me)this.enableHighlight[me]?this.highlightLevel[me]=Ce.level[me]:this.highlightLevel[me]=-1;var Re;for(this.snapToData?Re=Ce.dataCoordinate:Re=Ce.position,me=0;me<3;++me)Re[me]-=this.objectOffset[me];if(!((!this.enableDynamic[0]||Re[0]===this.dynamicLevel[0])&&(!this.enableDynamic[1]||Re[1]===this.dynamicLevel[1])&&(!this.enableDynamic[2]||Re[2]===this.dynamicLevel[2]))){for(var ce=0,Ge=this.shape,nt=f.mallocFloat(12*Ge[0]*Ge[1]),ct=0;ct<3;++ct){if(!this.enableDynamic[ct]){this.dynamicLevel[ct]=NaN,this._dynamicCounts[ct]=0;continue}this.dynamicLevel[ct]=Re[ct];var qt=(ct+1)%3,rt=(ct+2)%3,ot=this._field[ct],Rt=this._field[qt],kt=this._field[rt],Ct=b(ot,Re[ct]),Yt=Ct.cells,xr=Ct.positions;for(this._dynamicOffsets[ct]=ce,me=0;me<Yt.length;++me)for(var er=Yt[me],Ke=0;Ke<2;++Ke){var xt=xr[er[Ke]],bt=+xt[0],Lt=bt|0,St=Math.min(Lt+1,Ge[0])|0,Et=bt-Lt,dt=1-Et,Ht=+xt[1],$t=Ht|0,fr=Math.min($t+1,Ge[1])|0,_r=Ht-$t,Br=1-_r,Or=dt*Br,Nr=dt*_r,ut=Et*Br,Ne=Et*_r,Ye=Or*Rt.get(Lt,$t)+Nr*Rt.get(Lt,fr)+ut*Rt.get(St,$t)+Ne*Rt.get(St,fr),Ve=Or*kt.get(Lt,$t)+Nr*kt.get(Lt,fr)+ut*kt.get(St,$t)+Ne*kt.get(St,fr);if(isNaN(Ye)||isNaN(Ve)){Ke&&(ce-=1);break}nt[2*ce+0]=Ye,nt[2*ce+1]=Ve,ce+=1}this._dynamicCounts[ct]=ce-this._dynamicOffsets[ct]}this._dynamicBuffer.update(nt.subarray(0,2*ce)),f.freeFloat(nt)}};function ze(Ce){var me=Ce.gl,Re=_(me),ce=M(me),Ge=C(me),nt=p(me),ct=l(me),qt=u(me,[{buffer:ct,size:4,stride:P,offset:0},{buffer:ct,size:3,stride:P,offset:16},{buffer:ct,size:3,stride:P,offset:28}]),rt=l(me),ot=u(me,[{buffer:rt,size:4,stride:20,offset:0},{buffer:rt,size:1,stride:20,offset:16}]),Rt=l(me),kt=u(me,[{buffer:Rt,size:2,type:me.FLOAT}]),Ct=c(me,1,H,me.RGBA,me.UNSIGNED_BYTE);Ct.minFilter=me.LINEAR,Ct.magFilter=me.LINEAR;var Yt=new X(me,[0,0],[[0,0,0],[0,0,0]],Re,ce,ct,qt,Ct,Ge,nt,rt,ot,Rt,kt,[0,0,0]),xr={levels:[[],[],[]]};for(var er in Ce)xr[er]=Ce[er];return xr.colormap=xr.colormap||\"jet\",Yt.update(xr),Yt}},7766:function(i,a,o){\"use strict\";var s=o(9618),l=o(5298),u=o(1888);i.exports=p;var c=null,f=null,h=null;function d(P){c=[P.LINEAR,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_NEAREST],f=[P.NEAREST,P.LINEAR,P.NEAREST_MIPMAP_NEAREST,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_LINEAR],h=[P.REPEAT,P.CLAMP_TO_EDGE,P.MIRRORED_REPEAT]}function v(P){return typeof HTMLCanvasElement!=\"undefined\"&&P instanceof HTMLCanvasElement||typeof HTMLImageElement!=\"undefined\"&&P instanceof HTMLImageElement||typeof HTMLVideoElement!=\"undefined\"&&P instanceof HTMLVideoElement||typeof ImageData!=\"undefined\"&&P instanceof ImageData}var x=function(P,T){l.muls(P,T,255)};function b(P,T,F){var q=P.gl,V=q.getParameter(q.MAX_TEXTURE_SIZE);if(T<0||T>V||F<0||F>V)throw new Error(\"gl-texture2d: Invalid texture size\");return P._shape=[T,F],P.bind(),q.texImage2D(q.TEXTURE_2D,0,P.format,T,F,0,P.format,P.type,null),P._mipLevels=[0],P}function g(P,T,F,q,V,H){this.gl=P,this.handle=T,this.format=V,this.type=H,this._shape=[F,q],this._mipLevels=[0],this._magFilter=P.NEAREST,this._minFilter=P.NEAREST,this._wrapS=P.CLAMP_TO_EDGE,this._wrapT=P.CLAMP_TO_EDGE,this._anisoSamples=1;var X=this,G=[this._wrapS,this._wrapT];Object.defineProperties(G,[{get:function(){return X._wrapS},set:function(W){return X.wrapS=W}},{get:function(){return X._wrapT},set:function(W){return X.wrapT=W}}]),this._wrapVector=G;var N=[this._shape[0],this._shape[1]];Object.defineProperties(N,[{get:function(){return X._shape[0]},set:function(W){return X.width=W}},{get:function(){return X._shape[1]},set:function(W){return X.height=W}}]),this._shapeVector=N}var E=g.prototype;Object.defineProperties(E,{minFilter:{get:function(){return this._minFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MIN_FILTER,P),this._minFilter=P}},magFilter:{get:function(){return this._magFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MAG_FILTER,P),this._magFilter=P}},mipSamples:{get:function(){return this._anisoSamples},set:function(P){var T=this._anisoSamples;if(this._anisoSamples=Math.max(P,1)|0,T!==this._anisoSamples){var F=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");F&&this.gl.texParameterf(this.gl.TEXTURE_2D,F.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,P),this._wrapS=P}},wrapT:{get:function(){return this._wrapT},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,P),this._wrapT=P}},wrap:{get:function(){return this._wrapVector},set:function(P){if(Array.isArray(P)||(P=[P,P]),P.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var T=0;T<2;++T)if(h.indexOf(P[T])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);this._wrapS=P[0],this._wrapT=P[1];var F=this.gl;return this.bind(),F.texParameteri(F.TEXTURE_2D,F.TEXTURE_WRAP_S,this._wrapS),F.texParameteri(F.TEXTURE_2D,F.TEXTURE_WRAP_T,this._wrapT),P}},shape:{get:function(){return this._shapeVector},set:function(P){if(!Array.isArray(P))P=[P|0,P|0];else if(P.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return b(this,P[0]|0,P[1]|0),[P[0]|0,P[1]|0]}},width:{get:function(){return this._shape[0]},set:function(P){return P=P|0,b(this,P,this._shape[1]),P}},height:{get:function(){return this._shape[1]},set:function(P){return P=P|0,b(this,this._shape[0],P),P}}}),E.bind=function(P){var T=this.gl;return P!==void 0&&T.activeTexture(T.TEXTURE0+(P|0)),T.bindTexture(T.TEXTURE_2D,this.handle),P!==void 0?P|0:T.getParameter(T.ACTIVE_TEXTURE)-T.TEXTURE0},E.dispose=function(){this.gl.deleteTexture(this.handle)},E.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var P=Math.min(this._shape[0],this._shape[1]),T=0;P>0;++T,P>>>=1)this._mipLevels.indexOf(T)<0&&this._mipLevels.push(T)},E.setPixels=function(P,T,F,q){var V=this.gl;this.bind(),Array.isArray(T)?(q=F,F=T[1]|0,T=T[0]|0):(T=T||0,F=F||0),q=q||0;var H=v(P)?P:P.raw;if(H){var X=this._mipLevels.indexOf(q)<0;X?(V.texImage2D(V.TEXTURE_2D,0,this.format,this.format,this.type,H),this._mipLevels.push(q)):V.texSubImage2D(V.TEXTURE_2D,q,T,F,this.format,this.type,H)}else if(P.shape&&P.stride&&P.data){if(P.shape.length<2||T+P.shape[1]>this._shape[1]>>>q||F+P.shape[0]>this._shape[0]>>>q||T<0||F<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");A(V,T,F,q,this.format,this.type,this._mipLevels,P)}else throw new Error(\"gl-texture2d: Unsupported data type\")};function k(P,T){return P.length===3?T[2]===1&&T[1]===P[0]*P[2]&&T[0]===P[2]:T[0]===1&&T[1]===P[0]}function A(P,T,F,q,V,H,X,G){var N=G.dtype,W=G.shape.slice();if(W.length<2||W.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var re=0,ae=0,_e=k(W,G.stride.slice());N===\"float32\"?re=P.FLOAT:N===\"float64\"?(re=P.FLOAT,_e=!1,N=\"float32\"):N===\"uint8\"?re=P.UNSIGNED_BYTE:(re=P.UNSIGNED_BYTE,_e=!1,N=\"uint8\");var Me=1;if(W.length===2)ae=P.LUMINANCE,W=[W[0],W[1],1],G=s(G.data,W,[G.stride[0],G.stride[1],1],G.offset);else if(W.length===3){if(W[2]===1)ae=P.ALPHA;else if(W[2]===2)ae=P.LUMINANCE_ALPHA;else if(W[2]===3)ae=P.RGB;else if(W[2]===4)ae=P.RGBA;else throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");Me=W[2]}else throw new Error(\"gl-texture2d: Invalid shape for texture\");if((ae===P.LUMINANCE||ae===P.ALPHA)&&(V===P.LUMINANCE||V===P.ALPHA)&&(ae=V),ae!==V)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var ke=G.size,ge=X.indexOf(q)<0;if(ge&&X.push(q),re===H&&_e)G.offset===0&&G.data.length===ke?ge?P.texImage2D(P.TEXTURE_2D,q,V,W[0],W[1],0,V,H,G.data):P.texSubImage2D(P.TEXTURE_2D,q,T,F,W[0],W[1],V,H,G.data):ge?P.texImage2D(P.TEXTURE_2D,q,V,W[0],W[1],0,V,H,G.data.subarray(G.offset,G.offset+ke)):P.texSubImage2D(P.TEXTURE_2D,q,T,F,W[0],W[1],V,H,G.data.subarray(G.offset,G.offset+ke));else{var ie;H===P.FLOAT?ie=u.mallocFloat32(ke):ie=u.mallocUint8(ke);var 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if(rt<0){for(Rt=C*Re,kt=C*ge,Ct=C*ie,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,nt=Ct+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=L[nt],L[nt]=Ee,$t+=T;++ge,--ie;break}else{for(Rt=C*Re,kt=C*ie,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=Ee,$t+=T;--ie;break}}}else for(Re=ge;Re<=ie;++Re){ce=_+Re*C,Ht=0;e:for(ot=0;ot<P;++ot){if(ct=L[ce]-_r[Ht],ct!==0)break e;Ht+=q,ce+=F}if(ct<0){if(Re!==ge)for(Rt=C*Re,kt=C*ge,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=Ee,$t+=T;++ge}else{ce=_+Re*C,Ht=0;e:for(ot=0;ot<P;++ot){if(qt=L[ce]-Br[Ht],qt!==0)break e;Ht+=q,ce+=F}if(qt>0)for(;;){ce=_+ie*C,Ht=0;e:for(ot=0;ot<P;++ot){if(rt=L[ce]-Br[Ht],rt!==0)break e;Ht+=q,ce+=F}if(rt>0){if(--ie<Re)break;continue}else{ce=_+ie*C,Ht=0;e:for(ot=0;ot<P;++ot){if(rt=L[ce]-_r[Ht],rt!==0)break 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e;Ht+=q,ce+=F}if(ct===0){if(Re!==ge)for(Rt=C*Re,kt=C*ge,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=Ee,$t+=T;++ge}else{ce=_+Re*C,Ht=0;e:for(ot=0;ot<P;++ot){if(qt=L[ce]-Br[Ht],qt!==0)break e;Ht+=q,ce+=F}if(qt===0)for(;;){ce=_+ie*C,Ht=0;e:for(ot=0;ot<P;++ot){if(rt=L[ce]-Br[Ht],rt!==0)break e;Ht+=q,ce+=F}if(rt===0){if(--ie<Re)break;continue}else{ce=_+ie*C,Ht=0;e:for(ot=0;ot<P;++ot){if(rt=L[ce]-_r[Ht],rt!==0)break e;Ht+=q,ce+=F}if(rt<0){for(Rt=C*Re,kt=C*ge,Ct=C*ie,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,nt=Ct+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=L[nt],L[nt]=Ee,$t+=T;++ge,--ie}else{for(Rt=C*Re,kt=C*ie,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=Ee,$t+=T;--ie}break}}}}}g(_r),g(Br),ie-ge<=32?x(ge,ie,L,_,C,M,p,P,T,F,q):E(ge,ie,L,_,C,M,p,P,T,F,q)}}};function h(x,b,g){var E=l(b),k=[b,x].join(\",\"),A=f[k];return x.length>1&&E?A(g,E[0],E[1]):A(g)}var d={\"uint32,1,0\":function(x,b){return function(g){var 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F=this.shape[0],q=this.shape[1],V=this.shape[2],H=this.shape[3],X=this.shape[4],G=this.stride[0],N=this.stride[1],W=this.stride[2],re=this.stride[3],ae=this.stride[4],_e=this.offset,Me=0,ke=Math.ceil;return typeof C==\"number\"&&(Me=C|0,Me<0?(_e+=G*(F-1),F=ke(-F/Me)):F=ke(F/Me),G*=Me),typeof M==\"number\"&&(Me=M|0,Me<0?(_e+=N*(q-1),q=ke(-q/Me)):q=ke(q/Me),N*=Me),typeof p==\"number\"&&(Me=p|0,Me<0?(_e+=W*(V-1),V=ke(-V/Me)):V=ke(V/Me),W*=Me),typeof P==\"number\"&&(Me=P|0,Me<0?(_e+=re*(H-1),H=ke(-H/Me)):H=ke(H/Me),re*=Me),typeof T==\"number\"&&(Me=T|0,Me<0?(_e+=ae*(X-1),X=ke(-X/Me)):X=ke(X/Me),ae*=Me),new A(this.data,F,q,V,H,X,G,N,W,re,ae,_e)},L.transpose=function(C,M,p,P,T){C=C===void 0?0:C|0,M=M===void 0?1:M|0,p=p===void 0?2:p|0,P=P===void 0?3:P|0,T=T===void 0?4:T|0;var F=this.shape,q=this.stride;return new A(this.data,F[C],F[M],F[p],F[P],F[T],q[C],q[M],q[p],q[P],q[T],this.offset)},L.pick=function(C,M,p,P,T){var F=[],q=[],V=this.offset;typeof 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Int32Array]\":return\"int32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(b)?\"array\":\"generic\"}var v={generic:[],buffer:[],array:[],float32:[],float64:[],int8:[],int16:[],int32:[],uint8_clamped:[],uint8:[],uint16:[],uint32:[],bigint64:[],biguint64:[]};function x(b,g,E,k){if(b===void 0){var p=v.array[0];return p([])}else typeof b==\"number\"&&(b=[b]);g===void 0&&(g=[b.length]);var A=g.length;if(E===void 0){E=new Array(A);for(var L=A-1,_=1;L>=0;--L)E[L]=_,_*=g[L]}if(k===void 0){k=0;for(var L=0;L<A;++L)E[L]<0&&(k-=(g[L]-1)*E[L])}for(var C=d(b),M=v[C];M.length<=A+1;)M.push(h(C,M.length-1));var p=M[A+1];return p(b,g,E,k)}i.exports=x},1278:function(i,a,o){\"use strict\";var s=o(2361),l=Math.pow(2,-1074),u=-1>>>0;i.exports=c;function c(f,h){if(isNaN(f)||isNaN(h))return NaN;if(f===h)return f;if(f===0)return h<0?-l:l;var d=s.hi(f),v=s.lo(f);return h>f==f>0?v===u?(d+=1,v=0):v+=1:v===0?(v=u,d-=1):v-=1,s.pack(v,d)}},8406:function(i,a){var o=1e-6,s=1e-6;a.vertexNormals=function(l,u,c){for(var f=u.length,h=new Array(f),d=c===void 0?o:c,v=0;v<f;++v)h[v]=[0,0,0];for(var v=0;v<l.length;++v)for(var x=l[v],b=0,g=x[x.length-1],E=x[0],k=0;k<x.length;++k){b=g,g=E,E=x[(k+1)%x.length];for(var A=u[b],L=u[g],_=u[E],C=new Array(3),M=0,p=new Array(3),P=0,T=0;T<3;++T)C[T]=A[T]-L[T],M+=C[T]*C[T],p[T]=_[T]-L[T],P+=p[T]*p[T];if(M*P>d)for(var F=h[g],q=1/Math.sqrt(M*P),T=0;T<3;++T){var V=(T+1)%3,H=(T+2)%3;F[T]+=q*(p[V]*C[H]-p[H]*C[V])}}for(var v=0;v<f;++v){for(var F=h[v],X=0,T=0;T<3;++T)X+=F[T]*F[T];if(X>d)for(var q=1/Math.sqrt(X),T=0;T<3;++T)F[T]*=q;else for(var T=0;T<3;++T)F[T]=0}return h},a.faceNormals=function(l,u,c){for(var f=l.length,h=new Array(f),d=c===void 0?s:c,v=0;v<f;++v){for(var x=l[v],b=new Array(3),g=0;g<3;++g)b[g]=u[x[g]];for(var E=new Array(3),k=new Array(3),g=0;g<3;++g)E[g]=b[1][g]-b[0][g],k[g]=b[2][g]-b[0][g];for(var A=new Array(3),L=0,g=0;g<3;++g){var _=(g+1)%3,C=(g+2)%3;A[g]=E[_]*k[C]-E[C]*k[_],L+=A[g]*A[g]}L>d?L=1/Math.sqrt(L):L=0;for(var g=0;g<3;++g)A[g]*=L;h[v]=A}return h}},4081:function(i){\"use strict\";i.exports=a;function a(o,s,l,u,c,f,h,d,v,x){var b=s+f+x;if(g>0){var g=Math.sqrt(b+1);o[0]=.5*(h-v)/g,o[1]=.5*(d-u)/g,o[2]=.5*(l-f)/g,o[3]=.5*g}else{var E=Math.max(s,f,x),g=Math.sqrt(2*E-b+1);s>=E?(o[0]=.5*g,o[1]=.5*(c+l)/g,o[2]=.5*(d+u)/g,o[3]=.5*(h-v)/g):f>=E?(o[0]=.5*(l+c)/g,o[1]=.5*g,o[2]=.5*(v+h)/g,o[3]=.5*(d-u)/g):(o[0]=.5*(u+d)/g,o[1]=.5*(h+v)/g,o[2]=.5*g,o[3]=.5*(l-c)/g)}return o}},9977:function(i,a,o){\"use strict\";i.exports=g;var s=o(9215),l=o(6582),u=o(7399),c=o(7608),f=o(4081);function h(E,k,A){return Math.sqrt(Math.pow(E,2)+Math.pow(k,2)+Math.pow(A,2))}function d(E,k,A,L){return Math.sqrt(Math.pow(E,2)+Math.pow(k,2)+Math.pow(A,2)+Math.pow(L,2))}function v(E,k){var A=k[0],L=k[1],_=k[2],C=k[3],M=d(A,L,_,C);M>1e-6?(E[0]=A/M,E[1]=L/M,E[2]=_/M,E[3]=C/M):(E[0]=E[1]=E[2]=0,E[3]=1)}function x(E,k,A){this.radius=s([A]),this.center=s(k),this.rotation=s(E),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var b=x.prototype;b.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},b.recalcMatrix=function(E){this.radius.curve(E),this.center.curve(E),this.rotation.curve(E);var k=this.computedRotation;v(k,k);var A=this.computedMatrix;u(A,k);var L=this.computedCenter,_=this.computedEye,C=this.computedUp,M=Math.exp(this.computedRadius[0]);_[0]=L[0]+M*A[2],_[1]=L[1]+M*A[6],_[2]=L[2]+M*A[10],C[0]=A[1],C[1]=A[5],C[2]=A[9];for(var p=0;p<3;++p){for(var P=0,T=0;T<3;++T)P+=A[p+4*T]*_[T];A[12+p]=-P}},b.getMatrix=function(E,k){this.recalcMatrix(E);var A=this.computedMatrix;if(k){for(var L=0;L<16;++L)k[L]=A[L];return k}return A},b.idle=function(E){this.center.idle(E),this.radius.idle(E),this.rotation.idle(E)},b.flush=function(E){this.center.flush(E),this.radius.flush(E),this.rotation.flush(E)},b.pan=function(E,k,A,L){k=k||0,A=A||0,L=L||0,this.recalcMatrix(E);var _=this.computedMatrix,C=_[1],M=_[5],p=_[9],P=h(C,M,p);C/=P,M/=P,p/=P;var T=_[0],F=_[4],q=_[8],V=T*C+F*M+q*p;T-=C*V,F-=M*V,q-=p*V;var H=h(T,F,q);T/=H,F/=H,q/=H;var X=_[2],G=_[6],N=_[10],W=X*C+G*M+N*p,re=X*T+G*F+N*q;X-=W*C+re*T,G-=W*M+re*F,N-=W*p+re*q;var ae=h(X,G,N);X/=ae,G/=ae,N/=ae;var _e=T*k+C*A,Me=F*k+M*A,ke=q*k+p*A;this.center.move(E,_e,Me,ke);var ge=Math.exp(this.computedRadius[0]);ge=Math.max(1e-4,ge+L),this.radius.set(E,Math.log(ge))},b.rotate=function(E,k,A,L){this.recalcMatrix(E),k=k||0,A=A||0;var _=this.computedMatrix,C=_[0],M=_[4],p=_[8],P=_[1],T=_[5],F=_[9],q=_[2],V=_[6],H=_[10],X=k*C+A*P,G=k*M+A*T,N=k*p+A*F,W=-(V*N-H*G),re=-(H*X-q*N),ae=-(q*G-V*X),_e=Math.sqrt(Math.max(0,1-Math.pow(W,2)-Math.pow(re,2)-Math.pow(ae,2))),Me=d(W,re,ae,_e);Me>1e-6?(W/=Me,re/=Me,ae/=Me,_e/=Me):(W=re=ae=0,_e=1);var ke=this.computedRotation,ge=ke[0],ie=ke[1],Te=ke[2],Ee=ke[3],Ae=ge*_e+Ee*W+ie*ae-Te*re,ze=ie*_e+Ee*re+Te*W-ge*ae,Ce=Te*_e+Ee*ae+ge*re-ie*W,me=Ee*_e-ge*W-ie*re-Te*ae;if(L){W=q,re=V,ae=H;var Re=Math.sin(L)/h(W,re,ae);W*=Re,re*=Re,ae*=Re,_e=Math.cos(k),Ae=Ae*_e+me*W+ze*ae-Ce*re,ze=ze*_e+me*re+Ce*W-Ae*ae,Ce=Ce*_e+me*ae+Ae*re-ze*W,me=me*_e-Ae*W-ze*re-Ce*ae}var ce=d(Ae,ze,Ce,me);ce>1e-6?(Ae/=ce,ze/=ce,Ce/=ce,me/=ce):(Ae=ze=Ce=0,me=1),this.rotation.set(E,Ae,ze,Ce,me)},b.lookAt=function(E,k,A,L){this.recalcMatrix(E),A=A||this.computedCenter,k=k||this.computedEye,L=L||this.computedUp;var _=this.computedMatrix;l(_,k,A,L);var C=this.computedRotation;f(C,_[0],_[1],_[2],_[4],_[5],_[6],_[8],_[9],_[10]),v(C,C),this.rotation.set(E,C[0],C[1],C[2],C[3]);for(var M=0,p=0;p<3;++p)M+=Math.pow(A[p]-k[p],2);this.radius.set(E,.5*Math.log(Math.max(M,1e-6))),this.center.set(E,A[0],A[1],A[2])},b.translate=function(E,k,A,L){this.center.move(E,k||0,A||0,L||0)},b.setMatrix=function(E,k){var A=this.computedRotation;f(A,k[0],k[1],k[2],k[4],k[5],k[6],k[8],k[9],k[10]),v(A,A),this.rotation.set(E,A[0],A[1],A[2],A[3]);var L=this.computedMatrix;c(L,k);var _=L[15];if(Math.abs(_)>1e-6){var C=L[12]/_,M=L[13]/_,p=L[14]/_;this.recalcMatrix(E);var P=Math.exp(this.computedRadius[0]);this.center.set(E,C-L[2]*P,M-L[6]*P,p-L[10]*P),this.radius.idle(E)}else 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g=c[b],E=g.length;if(E===4){var k=(d[g[0]]<<0)+(d[g[1]]<<1)+(d[g[2]]<<2)+(d[g[3]]<<3);if(k===0||k===15)continue;switch(k){case 0:break;case 1:x.push([l(h,f,g[0],g[1]),l(h,f,g[0],g[2]),l(h,f,g[0],g[3])]);break;case 2:x.push([l(h,f,g[1],g[2]),l(h,f,g[1],g[0]),l(h,f,g[1],g[3])]);break;case 3:x.push([l(h,f,g[1],g[2]),l(h,f,g[0],g[2]),l(h,f,g[0],g[3])],[l(h,f,g[1],g[3]),l(h,f,g[1],g[2]),l(h,f,g[0],g[3])]);break;case 4:x.push([l(h,f,g[2],g[0]),l(h,f,g[2],g[1]),l(h,f,g[2],g[3])]);break;case 5:x.push([l(h,f,g[0],g[1]),l(h,f,g[2],g[1]),l(h,f,g[0],g[3])],[l(h,f,g[2],g[1]),l(h,f,g[2],g[3]),l(h,f,g[0],g[3])]);break;case 6:x.push([l(h,f,g[2],g[0]),l(h,f,g[1],g[0]),l(h,f,g[1],g[3])],[l(h,f,g[2],g[3]),l(h,f,g[2],g[0]),l(h,f,g[1],g[3])]);break;case 7:x.push([l(h,f,g[0],g[3]),l(h,f,g[1],g[3]),l(h,f,g[2],g[3])]);break;case 8:x.push([l(h,f,g[3],g[1]),l(h,f,g[3],g[0]),l(h,f,g[3],g[2])]);break;case 9:x.push([l(h,f,g[3],g[1]),l(h,f,g[0],g[1]),l(h,f,g[0],g[2])],[l(h,f,g[3],g[2]),l(h,f,g[3],g[1]),l(h,f,g[0],g[2])]);break;case 10:x.push([l(h,f,g[1],g[0]),l(h,f,g[3],g[0]),l(h,f,g[1],g[2])],[l(h,f,g[3],g[0]),l(h,f,g[3],g[2]),l(h,f,g[1],g[2])]);break;case 11:x.push([l(h,f,g[1],g[2]),l(h,f,g[0],g[2]),l(h,f,g[3],g[2])]);break;case 12:x.push([l(h,f,g[3],g[0]),l(h,f,g[2],g[0]),l(h,f,g[2],g[1])],[l(h,f,g[3],g[1]),l(h,f,g[3],g[0]),l(h,f,g[2],g[1])]);break;case 13:x.push([l(h,f,g[0],g[1]),l(h,f,g[2],g[1]),l(h,f,g[3],g[1])]);break;case 14:x.push([l(h,f,g[2],g[0]),l(h,f,g[1],g[0]),l(h,f,g[3],g[0])]);break;case 15:break}}else if(E===3){var k=(d[g[0]]<<0)+(d[g[1]]<<1)+(d[g[2]]<<2);if(k===0||k===7)continue;switch(k){case 0:break;case 1:x.push([l(h,f,g[0],g[2]),l(h,f,g[0],g[1])]);break;case 2:x.push([l(h,f,g[1],g[0]),l(h,f,g[1],g[2])]);break;case 3:x.push([l(h,f,g[0],g[2]),l(h,f,g[1],g[2])]);break;case 4:x.push([l(h,f,g[2],g[1]),l(h,f,g[2],g[0])]);break;case 5:x.push([l(h,f,g[2],g[1]),l(h,f,g[0],g[1])]);break;case 6:x.push([l(h,f,g[1],g[0]),l(h,f,g[2],g[0])]);break;case 7:break}}else if(E===2){var k=(d[g[0]]<<0)+(d[g[1]]<<1);if(k===0||k===3)continue;switch(k){case 0:break;case 1:x.push([l(h,f,g[0],g[1])]);break;case 2:x.push([l(h,f,g[1],g[0])]);break;case 3:break}}}return x}return u}];function o(s){return a[s]()}},6803:function(i,a,o){\"use strict\";var s,l=o(8828),u=o(1755);function c(P){for(var T=0,F=Math.max,q=0,V=P.length;q<V;++q)T=F(T,P[q].length);return T-1}s=c;function f(P){for(var T=-1,F=Math.max,q=0,V=P.length;q<V;++q)for(var H=P[q],X=0,G=H.length;X<G;++X)T=F(T,H[X]);return T+1}s=f;function h(P){for(var T=new Array(P.length),F=0,q=P.length;F<q;++F)T[F]=P[F].slice(0);return T}s=h;function d(P,T){var F=P.length,q=P.length-T.length,V=Math.min;if(q)return q;switch(F){case 0:return 0;case 1:return P[0]-T[0];case 2:var W=P[0]+P[1]-T[0]-T[1];return W||V(P[0],P[1])-V(T[0],T[1]);case 3:var H=P[0]+P[1],X=T[0]+T[1];if(W=H+P[2]-(X+T[2]),W)return W;var G=V(P[0],P[1]),N=V(T[0],T[1]),W=V(G,P[2])-V(N,T[2]);return W||V(G+P[2],H)-V(N+T[2],X);default:var re=P.slice(0);re.sort();var ae=T.slice(0);ae.sort();for(var _e=0;_e<F;++_e)if(q=re[_e]-ae[_e],q)return q;return 0}}a.Fw=d;function v(P,T){return d(P[0],T[0])}function x(P,T){if(T){for(var F=P.length,q=new Array(F),V=0;V<F;++V)q[V]=[P[V],T[V]];q.sort(v);for(var V=0;V<F;++V)P[V]=q[V][0],T[V]=q[V][1];return P}else return P.sort(d),P}s=x;function b(P){if(P.length===0)return[];for(var T=1,F=P.length,q=1;q<F;++q){var V=P[q];if(d(V,P[q-1])){if(q===T){T++;continue}P[T++]=V}}return P.length=T,P}s=b;function g(P,T){for(var F=0,q=P.length-1,V=-1;F<=q;){var H=F+q>>1,X=d(P[H],T);X<=0?(X===0&&(V=H),F=H+1):X>0&&(q=H-1)}return V}s=g;function E(P,T){for(var F=new Array(P.length),q=0,V=F.length;q<V;++q)F[q]=[];for(var H=[],q=0,X=T.length;q<X;++q)for(var G=T[q],N=G.length,W=1,re=1<<N;W<re;++W){H.length=l.popCount(W);for(var ae=0,_e=0;_e<N;++_e)W&1<<_e&&(H[ae++]=G[_e]);var Me=g(P,H);if(!(Me<0))for(;F[Me++].push(q),!(Me>=P.length||d(P[Me],H)!==0););}return F}s=E;function k(P,T){if(!T)return E(b(L(P,0)),P,0);for(var F=new Array(T),q=0;q<T;++q)F[q]=[];for(var q=0,V=P.length;q<V;++q)for(var H=P[q],X=0,G=H.length;X<G;++X)F[H[X]].push(q);return F}s=k;function A(P){for(var T=[],F=0,q=P.length;F<q;++F)for(var V=P[F],H=V.length|0,X=1,G=1<<H;X<G;++X){for(var N=[],W=0;W<H;++W)X>>>W&1&&N.push(V[W]);T.push(N)}return x(T)}s=A;function L(P,T){if(T<0)return[];for(var F=[],q=(1<<T+1)-1,V=0;V<P.length;++V)for(var H=P[V],X=q;X<1<<H.length;X=l.nextCombination(X)){for(var G=new Array(T+1),N=0,W=0;W<H.length;++W)X&1<<W&&(G[N++]=H[W]);F.push(G)}return x(F)}s=L;function _(P){for(var T=[],F=0,q=P.length;F<q;++F)for(var V=P[F],H=0,X=V.length;H<X;++H){for(var G=new Array(V.length-1),N=0,W=0;N<X;++N)N!==H&&(G[W++]=V[N]);T.push(G)}return x(T)}s=_;function C(P,T){for(var F=new u(T),q=0;q<P.length;++q)for(var V=P[q],H=0;H<V.length;++H)for(var X=H+1;X<V.length;++X)F.link(V[H],V[X]);for(var G=[],N=F.ranks,q=0;q<N.length;++q)N[q]=-1;for(var q=0;q<P.length;++q){var W=F.find(P[q][0]);N[W]<0?(N[W]=G.length,G.push([P[q].slice(0)])):G[N[W]].push(P[q].slice(0))}return G}function M(P){for(var T=b(x(L(P,0))),F=new u(T.length),q=0;q<P.length;++q)for(var V=P[q],H=0;H<V.length;++H)for(var X=g(T,[V[H]]),G=H+1;G<V.length;++G)F.link(X,g(T,[V[G]]));for(var N=[],W=F.ranks,q=0;q<W.length;++q)W[q]=-1;for(var q=0;q<P.length;++q){var re=F.find(g(T,[P[q][0]]));W[re]<0?(W[re]=N.length,N.push([P[q].slice(0)])):N[W[re]].push(P[q].slice(0))}return N}function p(P,T){return T?C(P,T):M(P)}s=p},3105:function(i,a){\"use strict\";\"use restrict\";var o=32;a.INT_BITS=o,a.INT_MAX=2147483647,a.INT_MIN=-1<<o-1,a.sign=function(u){return(u>0)-(u<0)},a.abs=function(u){var c=u>>o-1;return(u^c)-c},a.min=function(u,c){return c^(u^c)&-(u<c)},a.max=function(u,c){return u^(u^c)&-(u<c)},a.isPow2=function(u){return!(u&u-1)&&!!u},a.log2=function(u){var c,f;return c=(u>65535)<<4,u>>>=c,f=(u>255)<<3,u>>>=f,c|=f,f=(u>15)<<2,u>>>=f,c|=f,f=(u>3)<<1,u>>>=f,c|=f,c|u>>1},a.log10=function(u){return u>=1e9?9:u>=1e8?8:u>=1e7?7:u>=1e6?6:u>=1e5?5:u>=1e4?4:u>=1e3?3:u>=100?2:u>=10?1:0},a.popCount=function(u){return u=u-(u>>>1&1431655765),u=(u&858993459)+(u>>>2&858993459),(u+(u>>>4)&252645135)*16843009>>>24};function s(u){var c=32;return u&=-u,u&&c--,u&65535&&(c-=16),u&16711935&&(c-=8),u&252645135&&(c-=4),u&858993459&&(c-=2),u&1431655765&&(c-=1),c}a.countTrailingZeros=s,a.nextPow2=function(u){return u+=u===0,--u,u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u+1},a.prevPow2=function(u){return u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u-(u>>>1)},a.parity=function(u){return u^=u>>>16,u^=u>>>8,u^=u>>>4,u&=15,27030>>>u&1};var l=new Array(256);(function(u){for(var c=0;c<256;++c){var f=c,h=c,d=7;for(f>>>=1;f;f>>>=1)h<<=1,h|=f&1,--d;u[c]=h<<d&255}})(l),a.reverse=function(u){return l[u&255]<<24|l[u>>>8&255]<<16|l[u>>>16&255]<<8|l[u>>>24&255]},a.interleave2=function(u,c){return u&=65535,u=(u|u<<8)&16711935,u=(u|u<<4)&252645135,u=(u|u<<2)&858993459,u=(u|u<<1)&1431655765,c&=65535,c=(c|c<<8)&16711935,c=(c|c<<4)&252645135,c=(c|c<<2)&858993459,c=(c|c<<1)&1431655765,u|c<<1},a.deinterleave2=function(u,c){return u=u>>>c&1431655765,u=(u|u>>>1)&858993459,u=(u|u>>>2)&252645135,u=(u|u>>>4)&16711935,u=(u|u>>>16)&65535,u<<16>>16},a.interleave3=function(u,c,f){return u&=1023,u=(u|u<<16)&4278190335,u=(u|u<<8)&251719695,u=(u|u<<4)&3272356035,u=(u|u<<2)&1227133513,c&=1023,c=(c|c<<16)&4278190335,c=(c|c<<8)&251719695,c=(c|c<<4)&3272356035,c=(c|c<<2)&1227133513,u|=c<<1,f&=1023,f=(f|f<<16)&4278190335,f=(f|f<<8)&251719695,f=(f|f<<4)&3272356035,f=(f|f<<2)&1227133513,u|f<<2},a.deinterleave3=function(u,c){return u=u>>>c&1227133513,u=(u|u>>>2)&3272356035,u=(u|u>>>4)&251719695,u=(u|u>>>8)&4278190335,u=(u|u>>>16)&1023,u<<22>>22},a.nextCombination=function(u){var c=u|u-1;return c+1|(~c&-~c)-1>>>s(u)+1}},2014:function(i,a,o){\"use strict\";\"use restrict\";var s=o(3105),l=o(4623);function u(p){for(var P=0,T=Math.max,F=0,q=p.length;F<q;++F)P=T(P,p[F].length);return P-1}a.dimension=u;function c(p){for(var P=-1,T=Math.max,F=0,q=p.length;F<q;++F)for(var V=p[F],H=0,X=V.length;H<X;++H)P=T(P,V[H]);return P+1}a.countVertices=c;function f(p){for(var P=new Array(p.length),T=0,F=p.length;T<F;++T)P[T]=p[T].slice(0);return P}a.cloneCells=f;function h(p,P){var T=p.length,F=p.length-P.length,q=Math.min;if(F)return F;switch(T){case 0:return 0;case 1:return p[0]-P[0];case 2:var N=p[0]+p[1]-P[0]-P[1];return N||q(p[0],p[1])-q(P[0],P[1]);case 3:var V=p[0]+p[1],H=P[0]+P[1];if(N=V+p[2]-(H+P[2]),N)return N;var X=q(p[0],p[1]),G=q(P[0],P[1]),N=q(X,p[2])-q(G,P[2]);return N||q(X+p[2],V)-q(G+P[2],H);default:var W=p.slice(0);W.sort();var re=P.slice(0);re.sort();for(var ae=0;ae<T;++ae)if(F=W[ae]-re[ae],F)return F;return 0}}a.compareCells=h;function d(p,P){return h(p[0],P[0])}function v(p,P){if(P){for(var T=p.length,F=new Array(T),q=0;q<T;++q)F[q]=[p[q],P[q]];F.sort(d);for(var q=0;q<T;++q)p[q]=F[q][0],P[q]=F[q][1];return p}else return p.sort(h),p}a.normalize=v;function x(p){if(p.length===0)return[];for(var P=1,T=p.length,F=1;F<T;++F){var q=p[F];if(h(q,p[F-1])){if(F===P){P++;continue}p[P++]=q}}return p.length=P,p}a.unique=x;function b(p,P){for(var T=0,F=p.length-1,q=-1;T<=F;){var V=T+F>>1,H=h(p[V],P);H<=0?(H===0&&(q=V),T=V+1):H>0&&(F=V-1)}return q}a.findCell=b;function g(p,P){for(var T=new Array(p.length),F=0,q=T.length;F<q;++F)T[F]=[];for(var V=[],F=0,H=P.length;F<H;++F)for(var X=P[F],G=X.length,N=1,W=1<<G;N<W;++N){V.length=s.popCount(N);for(var re=0,ae=0;ae<G;++ae)N&1<<ae&&(V[re++]=X[ae]);var _e=b(p,V);if(!(_e<0))for(;T[_e++].push(F),!(_e>=p.length||h(p[_e],V)!==0););}return 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b(A,L,_,C,M,p,P,T){this.center=s(_),this.up=s(C),this.right=s(M),this.radius=s([p]),this.angle=s([P,T]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(A,L),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var F=0;F<16;++F)this.computedMatrix[F]=.5;this.recalcMatrix(0)}var g=b.prototype;g.setDistanceLimits=function(A,L){A>0?A=Math.log(A):A=-1/0,L>0?L=Math.log(L):L=1/0,L=Math.max(L,A),this.radius.bounds[0][0]=A,this.radius.bounds[1][0]=L},g.getDistanceLimits=function(A){var L=this.radius.bounds[0];return A?(A[0]=Math.exp(L[0][0]),A[1]=Math.exp(L[1][0]),A):[Math.exp(L[0][0]),Math.exp(L[1][0])]},g.recalcMatrix=function(A){this.center.curve(A),this.up.curve(A),this.right.curve(A),this.radius.curve(A),this.angle.curve(A);for(var L=this.computedUp,_=this.computedRight,C=0,M=0,p=0;p<3;++p)M+=L[p]*_[p],C+=L[p]*L[p];for(var P=Math.sqrt(C),T=0,p=0;p<3;++p)_[p]-=L[p]*M/C,T+=_[p]*_[p],L[p]/=P;for(var F=Math.sqrt(T),p=0;p<3;++p)_[p]/=F;var q=this.computedToward;c(q,L,_),f(q,q);for(var V=Math.exp(this.computedRadius[0]),H=this.computedAngle[0],X=this.computedAngle[1],G=Math.cos(H),N=Math.sin(H),W=Math.cos(X),re=Math.sin(X),ae=this.computedCenter,_e=G*W,Me=N*W,ke=re,ge=-G*re,ie=-N*re,Te=W,Ee=this.computedEye,Ae=this.computedMatrix,p=0;p<3;++p){var ze=_e*_[p]+Me*q[p]+ke*L[p];Ae[4*p+1]=ge*_[p]+ie*q[p]+Te*L[p],Ae[4*p+2]=ze,Ae[4*p+3]=0}var Ce=Ae[1],me=Ae[5],Re=Ae[9],ce=Ae[2],Ge=Ae[6],nt=Ae[10],ct=me*nt-Re*Ge,qt=Re*ce-Ce*nt,rt=Ce*Ge-me*ce,ot=d(ct,qt,rt);ct/=ot,qt/=ot,rt/=ot,Ae[0]=ct,Ae[4]=qt,Ae[8]=rt;for(var p=0;p<3;++p)Ee[p]=ae[p]+Ae[2+4*p]*V;for(var p=0;p<3;++p){for(var T=0,Rt=0;Rt<3;++Rt)T+=Ae[p+4*Rt]*Ee[Rt];Ae[12+p]=-T}Ae[15]=1},g.getMatrix=function(A,L){this.recalcMatrix(A);var _=this.computedMatrix;if(L){for(var C=0;C<16;++C)L[C]=_[C];return L}return _};var E=[0,0,0];g.rotate=function(A,L,_,C){if(this.angle.move(A,L,_),C){this.recalcMatrix(A);var M=this.computedMatrix;E[0]=M[2],E[1]=M[6],E[2]=M[10];for(var p=this.computedUp,P=this.computedRight,T=this.computedToward,F=0;F<3;++F)M[4*F]=p[F],M[4*F+1]=P[F],M[4*F+2]=T[F];u(M,M,C,E);for(var F=0;F<3;++F)p[F]=M[4*F],P[F]=M[4*F+1];this.up.set(A,p[0],p[1],p[2]),this.right.set(A,P[0],P[1],P[2])}},g.pan=function(A,L,_,C){L=L||0,_=_||0,C=C||0,this.recalcMatrix(A);var M=this.computedMatrix,p=Math.exp(this.computedRadius[0]),P=M[1],T=M[5],F=M[9],q=d(P,T,F);P/=q,T/=q,F/=q;var V=M[0],H=M[4],X=M[8],G=V*P+H*T+X*F;V-=P*G,H-=T*G,X-=F*G;var N=d(V,H,X);V/=N,H/=N,X/=N;var W=V*L+P*_,re=H*L+T*_,ae=X*L+F*_;this.center.move(A,W,re,ae);var _e=Math.exp(this.computedRadius[0]);_e=Math.max(1e-4,_e+C),this.radius.set(A,Math.log(_e))},g.translate=function(A,L,_,C){this.center.move(A,L||0,_||0,C||0)},g.setMatrix=function(A,L,_,C){var M=1;typeof _==\"number\"&&(M=_|0),(M<0||M>3)&&(M=1);var p=(M+2)%3,P=(M+1)%3;L||(this.recalcMatrix(A),L=this.computedMatrix);var T=L[M],F=L[M+4],q=L[M+8];if(C){var H=Math.abs(T),X=Math.abs(F),G=Math.abs(q),N=Math.max(H,X,G);H===N?(T=T<0?-1:1,F=q=0):G===N?(q=q<0?-1:1,T=F=0):(F=F<0?-1:1,T=q=0)}else{var V=d(T,F,q);T/=V,F/=V,q/=V}var W=L[p],re=L[p+4],ae=L[p+8],_e=W*T+re*F+ae*q;W-=T*_e,re-=F*_e,ae-=q*_e;var Me=d(W,re,ae);W/=Me,re/=Me,ae/=Me;var ke=F*ae-q*re,ge=q*W-T*ae,ie=T*re-F*W,Te=d(ke,ge,ie);ke/=Te,ge/=Te,ie/=Te,this.center.jump(A,er,Ke,xt),this.radius.idle(A),this.up.jump(A,T,F,q),this.right.jump(A,W,re,ae);var Ee,Ae;if(M===2){var ze=L[1],Ce=L[5],me=L[9],Re=ze*W+Ce*re+me*ae,ce=ze*ke+Ce*ge+me*ie;qt<0?Ee=-Math.PI/2:Ee=Math.PI/2,Ae=Math.atan2(ce,Re)}else{var Ge=L[2],nt=L[6],ct=L[10],qt=Ge*T+nt*F+ct*q,rt=Ge*W+nt*re+ct*ae,ot=Ge*ke+nt*ge+ct*ie;Ee=Math.asin(v(qt)),Ae=Math.atan2(ot,rt)}this.angle.jump(A,Ae,Ee),this.recalcMatrix(A);var Rt=L[2],kt=L[6],Ct=L[10],Yt=this.computedMatrix;l(Yt,L);var xr=Yt[15],er=Yt[12]/xr,Ke=Yt[13]/xr,xt=Yt[14]/xr,bt=Math.exp(this.computedRadius[0]);this.center.jump(A,er-Rt*bt,Ke-kt*bt,xt-Ct*bt)},g.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},g.idle=function(A){this.center.idle(A),this.up.idle(A),this.right.idle(A),this.radius.idle(A),this.angle.idle(A)},g.flush=function(A){this.center.flush(A),this.up.flush(A),this.right.flush(A),this.radius.flush(A),this.angle.flush(A)},g.setDistance=function(A,L){L>0&&this.radius.set(A,Math.log(L))},g.lookAt=function(A,L,_,C){this.recalcMatrix(A),L=L||this.computedEye,_=_||this.computedCenter,C=C||this.computedUp;var M=C[0],p=C[1],P=C[2],T=d(M,p,P);if(!(T<1e-6)){M/=T,p/=T,P/=T;var F=L[0]-_[0],q=L[1]-_[1],V=L[2]-_[2],H=d(F,q,V);if(!(H<1e-6)){F/=H,q/=H,V/=H;var X=this.computedRight,G=X[0],N=X[1],W=X[2],re=M*G+p*N+P*W;G-=re*M,N-=re*p,W-=re*P;var ae=d(G,N,W);if(!(ae<.01&&(G=p*V-P*q,N=P*F-M*V,W=M*q-p*F,ae=d(G,N,W),ae<1e-6))){G/=ae,N/=ae,W/=ae,this.up.set(A,M,p,P),this.right.set(A,G,N,W),this.center.set(A,_[0],_[1],_[2]),this.radius.set(A,Math.log(H));var _e=p*W-P*N,Me=P*G-M*W,ke=M*N-p*G,ge=d(_e,Me,ke);_e/=ge,Me/=ge,ke/=ge;var ie=M*F+p*q+P*V,Te=G*F+N*q+W*V,Ee=_e*F+Me*q+ke*V,Ae=Math.asin(v(ie)),ze=Math.atan2(Ee,Te),Ce=this.angle._state,me=Ce[Ce.length-1],Re=Ce[Ce.length-2];me=me%(2*Math.PI);var ce=Math.abs(me+2*Math.PI-ze),Ge=Math.abs(me-ze),nt=Math.abs(me-2*Math.PI-ze);ce<Ge&&(me+=2*Math.PI),nt<Ge&&(me-=2*Math.PI),this.angle.jump(this.angle.lastT(),me,Re),this.angle.set(A,ze,Ae)}}}};function k(A){A=A||{};var L=A.center||[0,0,0],_=A.up||[0,1,0],C=A.right||x(_),M=A.radius||1,p=A.theta||0,P=A.phi||0;if(L=[].slice.call(L,0,3),_=[].slice.call(_,0,3),f(_,_),C=[].slice.call(C,0,3),f(C,C),\"eye\"in A){var T=A.eye,F=[T[0]-L[0],T[1]-L[1],T[2]-L[2]];c(C,F,_),d(C[0],C[1],C[2])<1e-6?C=x(_):f(C,C),M=d(F[0],F[1],F[2]);var q=h(_,F)/M,V=h(C,F)/M;P=Math.acos(q),p=Math.acos(V)}return M=Math.log(M),new b(A.zoomMin,A.zoomMax,L,_,C,M,p,P)}},5250:function(i){\"use strict\";i.exports=o;var a=+(Math.pow(2,27)+1);function o(s,l,u){var c=s*l,f=a*s,h=f-s,d=f-h,v=s-d,x=a*l,b=x-l,g=x-b,E=l-g,k=c-d*g,A=k-v*g,L=A-d*E,_=v*E-L;return u?(u[0]=_,u[1]=c,u):[_,c]}},9362:function(i){\"use strict\";i.exports=a;function a(o,s,l){var u=o+s,c=u-o,f=u-c,h=s-c,d=o-f;return l?(l[0]=d+h,l[1]=u,l):[d+h,u]}},1888:function(i,a,o){\"use strict\";var s=o(8828),l=o(1338),u=o(4793).hp;o.g.__TYPEDARRAY_POOL||(o.g.__TYPEDARRAY_POOL={UINT8:l([32,0]),UINT16:l([32,0]),UINT32:l([32,0]),BIGUINT64:l([32,0]),INT8:l([32,0]),INT16:l([32,0]),INT32:l([32,0]),BIGINT64:l([32,0]),FLOAT:l([32,0]),DOUBLE:l([32,0]),DATA:l([32,0]),UINT8C:l([32,0]),BUFFER:l([32,0])});var c=typeof Uint8ClampedArray!=\"undefined\",f=typeof BigUint64Array!=\"undefined\",h=typeof 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t==\"string\")&&(t=nLt(t),t[0]/=255,t[1]/=255,t[2]/=255),oLt(t)?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:255,a&&(i[0]/=255,i[1]/=255,i[2]/=255,i[3]/=255),i):(a?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:1):(i[0]=GD(Math.floor(t[0]*255),0,255),i[1]=GD(Math.floor(t[1]*255),0,255),i[2]=GD(Math.floor(t[2]*255),0,255),i[3]=t[3]==null?255:GD(Math.floor(t[3]*255),0,255)),i)};function oLt(e){return!!(e instanceof Uint8Array||e instanceof Uint8ClampedArray||Array.isArray(e)&&(e[0]>1||e[0]===0)&&(e[1]>1||e[1]===0)&&(e[2]>1||e[2]===0)&&(!e[3]||e[3]>1))}});var Jy=ye((rvr,xLe)=>{\"use strict\";var sLt=J_();function lLt(e){return e?sLt(e):[0,0,0,1]}xLe.exports=lLt});var $y=ye((ivr,ELe)=>{\"use strict\";var SLe=uo(),uLt=id(),jD=J_(),WD=Mu(),cLt=dh().defaultLine,bLe=vv().isArrayOrTypedArray,iZ=jD(cLt),MLe=1;function wLe(e,t){var r=e;return r[3]*=t,r}function TLe(e){if(SLe(e))return iZ;var t=jD(e);return t.length?t:iZ}function ALe(e){return SLe(e)?e:MLe}function fLt(e,t,r){var n=e.color;n&&n._inputArray&&(n=n._inputArray);var i=bLe(n),a=bLe(t),o=WD.extractOpts(e),s=[],l,u,c,f,h;if(o.colorscale!==void 0?l=WD.makeColorScaleFuncFromTrace(e):l=TLe,i?u=function(v,x){return v[x]===void 0?iZ:jD(l(v[x]))}:u=TLe,a?c=function(v,x){return v[x]===void 0?MLe:ALe(v[x])}:c=ALe,i||a)for(var d=0;d<r;d++)f=u(n,d),h=c(t,d),s[d]=wLe(f,h);else s=wLe(jD(n),t);return s}function hLt(e){var t=WD.extractOpts(e),r=t.colorscale;return t.reversescale&&(r=WD.flipScale(t.colorscale)),r.map(function(n){var i=n[0],a=uLt(n[1]),o=a.toRgb();return{index:i,rgb:[o.r,o.g,o.b,o.a]}})}ELe.exports={formatColor:fLt,parseColorScale:hLt}});var nZ=ye((nvr,kLe)=>{\"use strict\";kLe.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}});var ZD=ye((avr,CLe)=>{\"use 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fZ=HLe.exports=qLt({x:e1.x,y:e1.y,z:{valType:\"data_array\"},text:Yg({},e1.text,{}),texttemplate:DLt({},{}),hovertext:Yg({},e1.hovertext,{}),hovertemplate:RLt(),xhoverformat:uZ(\"x\"),yhoverformat:uZ(\"y\"),zhoverformat:uZ(\"z\"),mode:Yg({},e1.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:cZ(\"x\"),y:cZ(\"y\"),z:cZ(\"z\")},connectgaps:e1.connectgaps,line:NLt,marker:Yg({symbol:{valType:\"enumerated\",values:VLe(FLt),dflt:\"circle\",arrayOk:!0},size:Yg({},N2.size,{dflt:8}),sizeref:N2.sizeref,sizemin:N2.sizemin,sizemode:N2.sizemode,opacity:Yg({},N2.opacity,{arrayOk:!1}),colorbar:N2.colorbar,line:Yg({width:Yg({},BLt.width,{arrayOk:!1})},hZ(\"marker.line\"))},hZ(\"marker\")),textposition:Yg({},e1.textposition,{dflt:\"top 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s=(r.line||{}).color,l=(r.marker||{}).color;a(\"surfaceaxis\")>=0&&a(\"surfacecolor\",s||l);for(var u=[\"x\",\"y\",\"z\"],c=0;c<3;++c){var f=\"projection.\"+u[c];a(f+\".show\")&&(a(f+\".opacity\"),a(f+\".scale\"))}var h=GLe.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,s||l||n,{axis:\"z\"}),h(t,r,s||l||n,{axis:\"y\",inherit:\"z\"}),h(t,r,s||l||n,{axis:\"x\",inherit:\"z\"})};function WLt(e,t,r,n){var i=0,a=r(\"x\"),o=r(\"y\"),s=r(\"z\"),l=GLe.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return l(e,t,[\"x\",\"y\",\"z\"],n),a&&o&&s&&(i=Math.min(a.length,o.length,s.length),t._length=t._xlength=t._ylength=t._zlength=i),i}});var XLe=ye((cvr,ZLe)=>{\"use strict\";var ZLt=km(),XLt=z0();ZLe.exports=function(t,r){var n=[{x:!1,y:!1,trace:r,t:{}}];return ZLt(n,r),XLt(t,r),n}});var KLe=ye((fvr,YLe)=>{YLe.exports=YLt;function YLt(e,t){if(typeof e!=\"string\")throw new TypeError(\"must specify type string\");if(t=t||{},typeof document==\"undefined\"&&!t.canvas)return null;var r=t.canvas||document.createElement(\"canvas\");typeof t.width==\"number\"&&(r.width=t.width),typeof t.height==\"number\"&&(r.height=t.height);var n=t,i;try{var a=[e];e.indexOf(\"webgl\")===0&&a.push(\"experimental-\"+e);for(var o=0;o<a.length;o++)if(i=r.getContext(a[o],n),i)return i}catch(s){i=null}return i||null}});var $Le=ye((hvr,JLe)=>{var KLt=KLe();JLe.exports=function(t){return KLt(\"webgl\",t)}});var pZ=ye((dvr,ePe)=>{\"use strict\";var QLe=va(),JLt=function(){};ePe.exports=function(t){for(var r in t)typeof t[r]==\"function\"&&(t[r]=JLt);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var n=document.createElement(\"div\");n.className=\"no-webgl\",n.style.cursor=\"pointer\",n.style.fontSize=\"24px\",n.style.color=QLe.defaults[0],n.style.position=\"absolute\",n.style.left=n.style.top=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"background-color\"]=QLe.lightLine,n.style[\"z-index\"]=30;var i=document.createElement(\"p\");return i.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more info\",i.style.position=\"relative\",i.style.top=\"50%\",i.style.left=\"50%\",i.style.height=\"30%\",i.style.width=\"50%\",i.style.margin=\"-15% 0 0 -25%\",n.appendChild(i),t.container.appendChild(n),t.container.style.background=\"#FFFFFF\",t.container.onclick=function(){window.open(\"https://get.webgl.org\")},!1}});var iPe=ye((vvr,rPe)=>{\"use strict\";var U2=Jy(),$Lt=Mr(),QLt=[\"xaxis\",\"yaxis\",\"zaxis\"];function tPe(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open 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ePt=tPe.prototype;ePt.merge=function(e,t){for(var r=this,n=0;n<3;++n){var i=t[QLt[n]];if(!i.visible){r.tickEnable[n]=!1,r.labelEnable[n]=!1,r.lineEnable[n]=!1,r.lineTickEnable[n]=!1,r.gridEnable[n]=!1,r.zeroEnable[n]=!1,r.backgroundEnable[n]=!1;continue}r.labels[n]=e._meta?$Lt.templateString(i.title.text,e._meta):i.title.text,\"font\"in i.title&&(i.title.font.color&&(r.labelColor[n]=U2(i.title.font.color)),i.title.font.family&&(r.labelFont[n]=i.title.font.family),i.title.font.size&&(r.labelSize[n]=i.title.font.size),i.title.font.weight&&(r.labelFontWeight[n]=i.title.font.weight),i.title.font.style&&(r.labelFontStyle[n]=i.title.font.style),i.title.font.variant&&(r.labelFontVariant[n]=i.title.font.variant)),\"showline\"in i&&(r.lineEnable[n]=i.showline),\"linecolor\"in i&&(r.lineColor[n]=U2(i.linecolor)),\"linewidth\"in i&&(r.lineWidth[n]=i.linewidth),\"showgrid\"in i&&(r.gridEnable[n]=i.showgrid),\"gridcolor\"in i&&(r.gridColor[n]=U2(i.gridcolor)),\"gridwidth\"in i&&(r.gridWidth[n]=i.gridwidth),i.type===\"log\"?r.zeroEnable[n]=!1:\"zeroline\"in i&&(r.zeroEnable[n]=i.zeroline),\"zerolinecolor\"in i&&(r.zeroLineColor[n]=U2(i.zerolinecolor)),\"zerolinewidth\"in i&&(r.zeroLineWidth[n]=i.zerolinewidth),\"ticks\"in i&&i.ticks?r.lineTickEnable[n]=!0:r.lineTickEnable[n]=!1,\"ticklen\"in i&&(r.lineTickLength[n]=r._defaultLineTickLength[n]=i.ticklen),\"tickcolor\"in i&&(r.lineTickColor[n]=U2(i.tickcolor)),\"tickwidth\"in i&&(r.lineTickWidth[n]=i.tickwidth),\"tickangle\"in i&&(r.tickAngle[n]=i.tickangle===\"auto\"?-3600:Math.PI*-i.tickangle/180),\"showticklabels\"in i&&(r.tickEnable[n]=i.showticklabels),\"tickfont\"in i&&(i.tickfont.color&&(r.tickColor[n]=U2(i.tickfont.color)),i.tickfont.family&&(r.tickFont[n]=i.tickfont.family),i.tickfont.size&&(r.tickSize[n]=i.tickfont.size),i.tickfont.weight&&(r.tickFontWeight[n]=i.tickfont.weight),i.tickfont.style&&(r.tickFontStyle[n]=i.tickfont.style),i.tickfont.variant&&(r.tickFontVariant[n]=i.tickfont.variant)),\"mirror\"in i?[\"ticks\",\"all\",\"allticks\"].indexOf(i.mirror)!==-1?(r.lineTickMirror[n]=!0,r.lineMirror[n]=!0):i.mirror===!0?(r.lineTickMirror[n]=!1,r.lineMirror[n]=!0):(r.lineTickMirror[n]=!1,r.lineMirror[n]=!1):r.lineMirror[n]=!1,\"showbackground\"in i&&i.showbackground!==!1?(r.backgroundEnable[n]=!0,r.backgroundColor[n]=U2(i.backgroundcolor)):r.backgroundEnable[n]=!1}};function tPt(e,t){var r=new tPe;return r.merge(e,t),r}rPe.exports=tPt});var oPe=ye((pvr,aPe)=>{\"use strict\";var rPt=Jy(),iPt=[\"xaxis\",\"yaxis\",\"zaxis\"];function nPe(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}var nPt=nPe.prototype;nPt.merge=function(e){for(var t=0;t<3;++t){var r=e[iPt[t]];if(!r.visible){this.enabled[t]=!1,this.drawSides[t]=!1;continue}this.enabled[t]=r.showspikes,this.colors[t]=rPt(r.spikecolor),this.drawSides[t]=r.spikesides,this.lineWidth[t]=r.spikethickness}};function aPt(e){var t=new nPe;return t.merge(e),t}aPe.exports=aPt});var uPe=ye((gvr,lPe)=>{\"use strict\";lPe.exports=cPt;var sPe=Qa(),oPt=Mr(),sPt=[\"xaxis\",\"yaxis\",\"zaxis\"],lPt=[0,0,0];function uPt(e){for(var t=new Array(3),r=0;r<3;++r){for(var n=e[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;t[r]=i}return t}function cPt(e){for(var t=e.axesOptions,r=e.glplot.axesPixels,n=e.fullSceneLayout,i=[[],[],[]],a=0;a<3;++a){var o=n[sPt[a]];if(o._length=(r[a].hi-r[a].lo)*r[a].pixelsPerDataUnit/e.dataScale[a],Math.abs(o._length)===1/0||isNaN(o._length))i[a]=[];else{o._input_range=o.range.slice(),o.range[0]=r[a].lo/e.dataScale[a],o.range[1]=r[a].hi/e.dataScale[a],o._m=1/(e.dataScale[a]*r[a].pixelsPerDataUnit),o.range[0]===o.range[1]&&(o.range[0]-=1,o.range[1]+=1);var s=o.tickmode;if(o.tickmode===\"auto\"){o.tickmode=\"linear\";var l=o.nticks||oPt.constrain(o._length/40,4,9);sPe.autoTicks(o,Math.abs(o.range[1]-o.range[0])/l)}for(var u=sPe.calcTicks(o,{msUTC:!0}),c=0;c<u.length;++c)u[c].x=u[c].x*e.dataScale[a],o.type===\"date\"&&(u[c].text=u[c].text.replace(/\\<br\\>/g,\" \"));i[a]=u,o.tickmode=s}}t.ticks=i;for(var a=0;a<3;++a){lPt[a]=.5*(e.glplot.bounds[0][a]+e.glplot.bounds[1][a]);for(var c=0;c<2;++c)t.bounds[c][a]=e.glplot.bounds[c][a]}e.contourLevels=uPt(i)}});var gPe=ye((mvr,pPe)=>{\"use strict\";var hPe=Rd().gl_plot3d,fPt=hPe.createCamera,cPe=hPe.createScene,hPt=$Le(),dPt=EL(),JD=ba(),up=Mr(),KD=up.preserveDrawingBuffer(),$D=Qa(),Kg=Nc(),vPt=Jy(),pPt=pZ(),gPt=DU(),mPt=iPe(),yPt=oPe(),_Pt=uPe(),xPt=wg().applyAutorangeOptions,VE,YD,dPe=!1;function vPe(e,t){var r=document.createElement(\"div\"),n=e.container;this.graphDiv=e.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=e.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=t,this.id=e.id||\"scene\",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=mPt(t,t[this.id]),this.spikeOptions=yPt(t[this.id]),this.container=r,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=JD.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=JD.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var wv=vPe.prototype;wv.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:KD,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!YD&&(VE=document.createElement(\"canvas\"),YD=hPt({canvas:VE,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!YD))throw new Error(\"error creating static canvas/context for image server\");t.gl=YD,t.canvas=VE}return t};var fPe=!0;wv.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),r=!0;try{e.glplot=cPe(t)}catch(n){if(e.staticMode||!fPe||KD)r=!1;else{up.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{KD=t.glOptions.preserveDrawingBuffer=!0,e.glplot=cPe(t)}catch(i){KD=t.glOptions.preserveDrawingBuffer=!1,r=!1}}}return fPe=!1,r};wv.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,r=t.projection.type===\"orthographic\";e.camera=fPt(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})};wv.initializeGLPlot=function(){var e=this;e.initializeGLCamera();var t=e.tryCreatePlot();if(!t)return pPt(e);e.traces={},e.make4thDimension();var r=e.graphDiv,n=r.layout,i=function(){var o={};return e.isCameraChanged(n)&&(o[e.id+\".camera\"]=e.getCamera()),e.isAspectChanged(n)&&(o[e.id+\".aspectratio\"]=e.glplot.getAspectratio(),n[e.id].aspectmode!==\"manual\"&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=o[e.id+\".aspectmode\"]=\"manual\")),o},a=function(o){if(o.fullSceneLayout.dragmode!==!1){var s=i();o.saveLayout(n),o.graphDiv.emit(\"plotly_relayout\",s)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener(\"mouseup\",function(){a(e)}),e.glplot.canvas.addEventListener(\"touchstart\",function(){dPe=!0}),e.glplot.canvas.addEventListener(\"wheel\",function(o){if(r._context._scrollZoom.gl3d){if(e.camera._ortho){var s=o.deltaX>o.deltaY?1.1:.9090909090909091,l=e.glplot.getAspectratio();e.glplot.setAspectratio({x:s*l.x,y:s*l.y,z:s*l.z})}a(e)}},dPt?{passive:!1}:!1),e.glplot.canvas.addEventListener(\"mousemove\",function(){if(e.fullSceneLayout.dragmode!==!1&&e.camera.mouseListener.buttons!==0){var o=i();e.graphDiv.emit(\"plotly_relayouting\",o)}}),e.staticMode||e.glplot.canvas.addEventListener(\"webglcontextlost\",function(o){r&&r.emit&&r.emit(\"plotly_webglcontextlost\",{event:o,layer:e.id})},!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0};wv.render=function(){var e=this,t=e.graphDiv,r,n=e.svgContainer,i=e.container.getBoundingClientRect();t._fullLayout._calcInverseTransform(t);var a=t._fullLayout._invScaleX,o=t._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_Pt(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,f=e.glplot.selection,h=0;h<u.length;++h)r=e.traces[u[h]],r.data.hoverinfo!==\"skip\"&&r.handlePick(f)&&(c=r),r.setContourLevels&&r.setContourLevels();function d(P,T,F){var q=e.fullSceneLayout[P+\"axis\"];return q.type!==\"log\"&&(T=q.d2l(T)),$D.hoverLabelText(q,T,F)}if(c!==null){var v=gPt(e.glplot.cameraParams,f.dataCoordinate);r=c.data;var x=t._fullData[r.index],b=f.index,g={xLabel:d(\"x\",f.traceCoordinate[0],r.xhoverformat),yLabel:d(\"y\",f.traceCoordinate[1],r.yhoverformat),zLabel:d(\"z\",f.traceCoordinate[2],r.zhoverformat)},E=Kg.castHoverinfo(x,e.fullLayout,b),k=(E||\"\").split(\"+\"),A=E&&E===\"all\";!x.hovertemplate&&!A&&(k.indexOf(\"x\")===-1&&(g.xLabel=void 0),k.indexOf(\"y\")===-1&&(g.yLabel=void 0),k.indexOf(\"z\")===-1&&(g.zLabel=void 0),k.indexOf(\"text\")===-1&&(f.textLabel=void 0),k.indexOf(\"name\")===-1&&(c.name=void 0));var L,_=[];r.type===\"cone\"||r.type===\"streamtube\"?(g.uLabel=d(\"x\",f.traceCoordinate[3],r.uhoverformat),(A||k.indexOf(\"u\")!==-1)&&_.push(\"u: \"+g.uLabel),g.vLabel=d(\"y\",f.traceCoordinate[4],r.vhoverformat),(A||k.indexOf(\"v\")!==-1)&&_.push(\"v: \"+g.vLabel),g.wLabel=d(\"z\",f.traceCoordinate[5],r.whoverformat),(A||k.indexOf(\"w\")!==-1)&&_.push(\"w: \"+g.wLabel),g.normLabel=f.traceCoordinate[6].toPrecision(3),(A||k.indexOf(\"norm\")!==-1)&&_.push(\"norm: \"+g.normLabel),r.type===\"streamtube\"&&(g.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(A||k.indexOf(\"divergence\")!==-1)&&_.push(\"divergence: \"+g.divergenceLabel)),f.textLabel&&_.push(f.textLabel),L=_.join(\"<br>\")):r.type===\"isosurface\"||r.type===\"volume\"?(g.valueLabel=$D.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),r.valuehoverformat),_.push(\"value: \"+g.valueLabel),f.textLabel&&_.push(f.textLabel),L=_.join(\"<br>\")):L=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:x._input,fullData:x,curveNumber:x.index,pointNumber:b};Kg.appendArrayPointValue(C,x,b),r._module.eventData&&(C=x._module.eventData(C,f,x,{},b));var M={points:[C]};if(e.fullSceneLayout.hovermode){var p=[];Kg.loneHover({trace:x,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:g.xLabel,yLabel:g.yLabel,zLabel:g.zLabel,text:L,name:c.name,color:Kg.castHoverOption(x,b,\"bgcolor\")||c.color,borderColor:Kg.castHoverOption(x,b,\"bordercolor\"),fontFamily:Kg.castHoverOption(x,b,\"font.family\"),fontSize:Kg.castHoverOption(x,b,\"font.size\"),fontColor:Kg.castHoverOption(x,b,\"font.color\"),nameLength:Kg.castHoverOption(x,b,\"namelength\"),textAlign:Kg.castHoverOption(x,b,\"align\"),hovertemplate:up.castOption(x,b,\"hovertemplate\"),hovertemplateLabels:up.extendFlat({},C,g),eventData:[C]},{container:n,gd:t,inOut_bbox:p}),C.bbox=p[0]}f.distance<5&&(f.buttons||dPe)?t.emit(\"plotly_click\",M):t.emit(\"plotly_hover\",M),this.oldEventData=M}else Kg.loneUnhover(n),this.oldEventData&&t.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)};wv.recoverContext=function(){var e=this;e.glplot.dispose();var t=function(){if(e.glplot.gl.isContextLost()){requestAnimationFrame(t);return}if(!e.initializeGLPlot()){up.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");return}e.plot.apply(e,e.plotArgs)};requestAnimationFrame(t)};var HE=[\"xaxis\",\"yaxis\",\"zaxis\"];function bPt(e,t,r){for(var n=e.fullSceneLayout,i=0;i<3;i++){var a=HE[i],o=a.charAt(0),s=n[a],l=t[o],u=t[o+\"calendar\"],c=t[\"_\"+o+\"length\"];if(!up.isArrayOrTypedArray(l))r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1);else for(var f,h=0;h<(c||l.length);h++)if(up.isArrayOrTypedArray(l[h]))for(var d=0;d<l[h].length;++d)f=s.d2l(l[h][d],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[h],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f))}}function wPt(e,t){for(var r=e.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=HE[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(t[0][i]=Math.min(t[0][i],c),t[1][i]=Math.max(t[1][i],c))}}}wv.plot=function(e,t,r){var n=this;if(n.plotArgs=[e,t,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=t[n.id],f=r[n.id];n.fullLayout=t,n.fullSceneLayout=c,n.axesOptions.merge(t,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(vPt(c.bgcolor)),n.setConvert(l),e?Array.isArray(e)||(e=[e]):e=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&bPt(this,i,h);wPt(this,h);var d=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?d[s]=1:d[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=d,n.convertAnnotations(this),o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&(a=n.traces[i.uid],a?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var v=Object.keys(n.traces);e:for(o=0;o<v.length;++o){for(s=0;s<e.length;++s)if(e[s].uid===v[o]&&e[s].visible===!0&&e[s]._length!==0)continue 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T=x[1][o]-x[0][o];x[0][o]-=T/32,x[1][o]+=T/32}if(E=[x[0][o],x[1][o]],E=xPt(E,l),x[0][o]=E[0],x[1][o]=E[1],l.isReversed()){var F=x[0][o];x[0][o]=x[1][o],x[1][o]=F}}else E=l.range,x[0][o]=l.r2l(E[0]),x[1][o]=l.r2l(E[1]);x[0][o]===x[1][o]&&(x[0][o]-=1,x[1][o]+=1),b[o]=x[1][o]-x[0][o],l.range=[x[0][o],x[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*d[o],max:l.range[1]*d[o]})}var q,V=c.aspectmode;if(V===\"cube\")q=[1,1,1];else if(V===\"manual\"){var H=c.aspectratio;q=[H.x,H.y,H.z]}else if(V===\"auto\"||V===\"data\"){var X=[1,1,1];for(o=0;o<3;++o){l=c[HE[o]],u=l.type;var G=g[u];X[o]=Math.pow(G.acc,1/G.count)/d[o]}V===\"data\"||Math.max.apply(null,X)/Math.min.apply(null,X)<=4?q=X:q=[1,1,1]}else throw new Error(\"scene.js aspectRatio was not one of the enumerated 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APt(e){return{up:{x:e.up[0],y:e.up[1],z:e.up[2]},center:{x:e.center[0],y:e.center[1],z:e.center[2]},eye:{x:e.eye[0],y:e.eye[1],z:e.eye[2]},projection:{type:e._ortho===!0?\"orthographic\":\"perspective\"}}}wv.getCamera=function(){var e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),APt(e.camera)};wv.setViewport=function(e){var t=this,r=e.camera;t.camera.lookAt.apply(this,TPt(r)),t.glplot.setAspectratio(e.aspectratio);var n=r.projection.type===\"orthographic\",i=t.camera._ortho;n!==i&&(t.glplot.redraw(),t.glplot.clearRGBA(),t.glplot.dispose(),t.initializeGLPlot())};wv.isCameraChanged=function(e){var t=this,r=t.getCamera(),n=up.nestedProperty(e,t.id+\".camera\"),i=n.get();function a(u,c,f,h){var d=[\"up\",\"center\",\"eye\"],v=[\"x\",\"y\",\"z\"];return c[d[f]]&&u[d[f]][v[h]]===c[d[f]][v[h]]}var o=!1;if(i===void 0)o=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!a(r,i,s,l)){o=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(o=!0)}return o};wv.isAspectChanged=function(e){var t=this,r=t.glplot.getAspectratio(),n=up.nestedProperty(e,t.id+\".aspectratio\"),i=n.get();return i===void 0||i.x!==r.x||i.y!==r.y||i.z!==r.z};wv.saveLayout=function(e){var t=this,r=t.fullLayout,n,i,a,o,s,l,u=t.isCameraChanged(e),c=t.isAspectChanged(e),f=u||c;if(f){var h={};if(u&&(n=t.getCamera(),i=up.nestedProperty(e,t.id+\".camera\"),a=i.get(),h[t.id+\".camera\"]=a),c&&(o=t.glplot.getAspectratio(),s=up.nestedProperty(e,t.id+\".aspectratio\"),l=s.get(),h[t.id+\".aspectratio\"]=l),JD.call(\"_storeDirectGUIEdit\",e,r._preGUI,h),u){i.set(n);var d=up.nestedProperty(r,t.id+\".camera\");d.set(n)}if(c){s.set(o);var v=up.nestedProperty(r,t.id+\".aspectratio\");v.set(o),t.glplot.redraw()}}return f};wv.updateFx=function(e,t){var r=this,n=r.camera;if(n)if(e===\"orbit\")n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(e===\"turntable\"){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var c=r.id+\".camera.up\",f={x:0,y:0,z:1},h={};h[c]=f;var d=i.layout;JD.call(\"_storeDirectGUIEdit\",d,a._preGUI,h),o.up=f,up.nestedProperty(d,c).set(f)}}else n.keyBindingMode=e;r.fullSceneLayout.hovermode=t};function SPt(e,t,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<t;++a)for(var o=0;o<4;++o){var s=4*(t*n+a)+o,l=4*(t*i+a)+o,u=e[s];e[s]=e[l],e[l]=u}}function MPt(e,t,r){for(var n=0;n<r;++n)for(var i=0;i<t;++i){var a=4*(t*n+i),o=e[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}wv.toImage=function(e){var t=this;e||(e=\"png\"),t.staticMode&&t.container.appendChild(VE),t.glplot.redraw();var r=t.glplot.gl,n=r.drawingBufferWidth,i=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);r.readPixels(0,0,n,i,r.RGBA,r.UNSIGNED_BYTE,a),SPt(a,n,i),MPt(a,n,i);var o=document.createElement(\"canvas\");o.width=n,o.height=i;var s=o.getContext(\"2d\",{willReadFrequently:!0}),l=s.createImageData(n,i);l.data.set(a),s.putImageData(l,0,0);var u;switch(e){case\"jpeg\":u=o.toDataURL(\"image/jpeg\");break;case\"webp\":u=o.toDataURL(\"image/webp\");break;default:u=o.toDataURL(\"image/png\")}return t.staticMode&&t.container.removeChild(VE),u};wv.setConvert=function(){for(var e=this,t=0;t<3;t++){var r=e.fullSceneLayout[HE[t]];$D.setConvert(r,e.fullLayout),r.setScale=up.noop}};wv.make4thDimension=function(){var e=this,t=e.graphDiv,r=t._fullLayout;e._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},$D.setConvert(e._mockAxis,r)};pPe.exports=vPe});var yPe=ye((yvr,mPe)=>{\"use strict\";mPe.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}});var mZ=ye((_vr,_Pe)=>{\"use strict\";var EPt=va(),cs=Cd(),gZ=no().extendFlat,kPt=Bu().overrideAll;_Pe.exports=kPt({visible:cs.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:EPt.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:cs.color,categoryorder:cs.categoryorder,categoryarray:cs.categoryarray,title:{text:cs.title.text,font:cs.title.font},type:gZ({},cs.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:cs.autotypenumbers,autorange:cs.autorange,autorangeoptions:{minallowed:cs.autorangeoptions.minallowed,maxallowed:cs.autorangeoptions.maxallowed,clipmin:cs.autorangeoptions.clipmin,clipmax:cs.autorangeoptions.clipmax,include:cs.autorangeoptions.include,editType:\"plot\"},rangemode:cs.rangemode,minallowed:cs.minallowed,maxallowed:cs.maxallowed,range:gZ({},cs.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:cs.minor.tickmode,nticks:cs.nticks,tick0:cs.tick0,dtick:cs.dtick,tickvals:cs.tickvals,ticktext:cs.ticktext,ticks:cs.ticks,mirror:cs.mirror,ticklen:cs.ticklen,tickwidth:cs.tickwidth,tickcolor:cs.tickcolor,showticklabels:cs.showticklabels,labelalias:cs.labelalias,tickfont:cs.tickfont,tickangle:cs.tickangle,tickprefix:cs.tickprefix,showtickprefix:cs.showtickprefix,ticksuffix:cs.ticksuffix,showticksuffix:cs.showticksuffix,showexponent:cs.showexponent,exponentformat:cs.exponentformat,minexponent:cs.minexponent,separatethousands:cs.separatethousands,tickformat:cs.tickformat,tickformatstops:cs.tickformatstops,hoverformat:cs.hoverformat,showline:cs.showline,linecolor:cs.linecolor,linewidth:cs.linewidth,showgrid:cs.showgrid,gridcolor:gZ({},cs.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:cs.gridwidth,zeroline:cs.zeroline,zerolinecolor:cs.zerolinecolor,zerolinewidth:cs.zerolinewidth},\"plot\",\"from-root\")});var bZ=ye((xvr,xPe)=>{\"use strict\";var yZ=mZ(),CPt=Ju().attributes,_Z=no().extendFlat,LPt=Mr().counterRegex;function xZ(e,t,r){return{x:{valType:\"number\",dflt:e,editType:\"camera\"},y:{valType:\"number\",dflt:t,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}xPe.exports={_arrayAttrRegexps:[LPt(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:_Z(xZ(0,0,1),{}),center:_Z(xZ(0,0,0),{}),eye:_Z(xZ(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:CPt({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:yZ,yaxis:yZ,zaxis:yZ,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\"}});var APe=ye((bvr,TPe)=>{\"use strict\";var PPt=id().mix,bPe=Mr(),IPt=Vs(),RPt=mZ(),DPt=yU(),zPt=JM(),wPe=[\"xaxis\",\"yaxis\",\"zaxis\"],FPt=100*136/187;TPe.exports=function(t,r,n){var i,a;function o(u,c){return bPe.coerce(i,a,RPt,u,c)}for(var s=0;s<wPe.length;s++){var l=wPe[s];i=t[l]||{},a=IPt.newContainer(r,l),a._id=l[0]+n.scene,a._name=l,DPt(i,a,o,n),zPt(i,a,o,{font:n.font,letter:l[0],data:n.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),o(\"gridcolor\",PPt(a.color,n.bgColor,FPt).toRgbString()),o(\"title.text\",l[0]),a.setScale=bPe.noop,o(\"showspikes\")&&(o(\"spikesides\"),o(\"spikethickness\"),o(\"spikecolor\",a.color)),o(\"showaxeslabels\"),o(\"showbackground\")&&o(\"backgroundcolor\")}}});var kPe=ye((wvr,EPe)=>{\"use strict\";var qPt=Mr(),OPt=va(),BPt=ba(),NPt=k_(),UPt=APe(),SPe=bZ(),VPt=kd().getSubplotData,MPe=\"gl3d\";EPe.exports=function(t,r,n){var i=r._basePlotModules.length>1;function a(o){if(!i){var s=qPt.validate(t[o],SPe[o]);if(s)return t[o]}}NPt(t,r,n,{type:MPe,attributes:SPe,handleDefaults:HPt,fullLayout:r,font:r.font,fullData:n,getDfltFromLayout:a,autotypenumbersDflt:r.autotypenumbers,paper_bgcolor:r.paper_bgcolor,calendar:r.calendar})};function HPt(e,t,r,n){for(var i=r(\"bgcolor\"),a=OPt.combine(i,n.paper_bgcolor),o=[\"up\",\"center\",\"eye\"],s=0;s<o.length;s++)r(\"camera.\"+o[s]+\".x\"),r(\"camera.\"+o[s]+\".y\"),r(\"camera.\"+o[s]+\".z\");r(\"camera.projection.type\");var l=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),u=l?\"manual\":\"auto\",c=r(\"aspectmode\",u);l||(e.aspectratio=t.aspectratio={x:1,y:1,z:1},c===\"manual\"&&(t.aspectmode=\"auto\"),e.aspectmode=t.aspectmode);var f=VPt(n.fullData,MPe,n.id);UPt(e,t,{font:n.font,scene:n.id,data:f,bgColor:a,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),BPt.getComponentMethod(\"annotations3d\",\"handleDefaults\")(e,t,n);var h=n.getDfltFromLayout(\"dragmode\");if(h!==!1&&!h)if(h=\"orbit\",e.camera&&e.camera.up){var d=e.camera.up.x,v=e.camera.up.y,x=e.camera.up.z;x!==0&&(!d||!v||!x||x/Math.sqrt(d*d+v*v+x*x)>.999)&&(h=\"turntable\")}else h=\"turntable\";r(\"dragmode\",h),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}});var $_=ye(cp=>{\"use strict\";var GPt=Bu().overrideAll,jPt=B1(),WPt=gPe(),ZPt=kd().getSubplotData,XPt=Mr(),YPt=Zp(),B5=\"gl3d\",wZ=\"scene\";cp.name=B5;cp.attr=wZ;cp.idRoot=wZ;cp.idRegex=cp.attrRegex=XPt.counterRegex(\"scene\");cp.attributes=yPe();cp.layoutAttributes=bZ();cp.baseLayoutAttrOverrides=GPt({hoverlabel:jPt.hoverlabel},\"plot\",\"nested\");cp.supplyLayoutDefaults=kPe();cp.plot=function(t){for(var r=t._fullLayout,n=t._fullData,i=r._subplots[B5],a=0;a<i.length;a++){var o=i[a],s=ZPt(n,B5,o),l=r[o],u=l.camera,c=l._scene;c||(c=new WPt({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},r),l._scene=c),c.viewInitial||(c.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),c.plot(s,r,t.layout)}};cp.clean=function(e,t,r,n){for(var i=n._subplots[B5]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}};cp.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[B5],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._scene,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:YPt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}};cp.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var r=t.substr(5);return r===\"1\"&&(r=\"\"),wZ+r}};cp.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[B5],n=0;n<r.length;n++){var i=t[r[n]]._scene;i.updateFx(t.dragmode,t.hovermode)}}});var LPe=ye((Avr,CPe)=>{\"use strict\";CPe.exports={plot:NLe(),attributes:dZ(),markerSymbols:ZD(),supplyDefaults:WLe(),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:XLe(),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:$_(),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var IPe=ye((Svr,PPe)=>{\"use strict\";PPe.exports=LPe()});var GE=ye((Mvr,zPe)=>{\"use strict\";var RPe=va(),KPt=Kl(),TZ=Oc().axisHoverFormat,JPt=Wo().hovertemplateAttrs,DPe=vl(),AZ=no().extendFlat,$Pt=Bu().overrideAll;function SZ(e){return{valType:\"boolean\",dflt:!1}}function MZ(e){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:SZ(\"x\"),y:SZ(\"y\"),z:SZ(\"z\")},color:{valType:\"color\",dflt:RPe.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:RPe.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var EZ=zPe.exports=$Pt(AZ({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:JPt(),xhoverformat:TZ(\"x\"),yhoverformat:TZ(\"y\"),zhoverformat:TZ(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},KPt(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:MZ(\"x\"),y:MZ(\"y\"),z:MZ(\"z\")},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},hoverinfo:AZ({},DPe.hoverinfo),showlegend:AZ({},DPe.showlegend,{dflt:!1})}),\"calc\",\"nested\");EZ.x.editType=EZ.y.editType=EZ.z.editType=\"calc+clearAxisTypes\"});var CZ=ye((Evr,OPe)=>{\"use strict\";var QPt=ba(),FPe=Mr(),eIt=Uh(),tIt=GE(),kZ=.1;function rIt(e,t){for(var r=[],n=32,i=0;i<n;i++){var a=i/(n-1),o=t+(1-t)*(1-Math.pow(Math.sin(e*a*Math.PI),2));r.push([a,Math.max(0,Math.min(1,o))])}return r}function iIt(e){var t=0;if(!Array.isArray(e)||e.length<2||!e[0]||!e[e.length-1]||+e[0][0]!=0||+e[e.length-1][0]!=1)return!1;for(var r=0;r<e.length;r++){var n=e[r];if(n.length!==2||+n[0]<t)return!1;t=+n[0]}return!0}function nIt(e,t,r,n){var i,a;function o(b,g){return FPe.coerce(e,t,tIt,b,g)}var s=o(\"x\"),l=o(\"y\"),u=o(\"z\");if(!u||!u.length||s&&s.length<1||l&&l.length<1){t.visible=!1;return}t._xlength=Array.isArray(s)&&FPe.isArrayOrTypedArray(s[0])?u.length:u[0].length,t._ylength=u.length;var c=QPt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");c(e,t,[\"x\",\"y\",\"z\"],n),o(\"text\"),o(\"hovertext\"),o(\"hovertemplate\"),o(\"xhoverformat\"),o(\"yhoverformat\"),o(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(b){o(b)});var f=o(\"surfacecolor\"),h=[\"x\",\"y\",\"z\"];for(i=0;i<3;++i){var d=\"contours.\"+h[i],v=o(d+\".show\"),x=o(d+\".highlight\");if(v||x)for(a=0;a<3;++a)o(d+\".project.\"+h[a]);v&&(o(d+\".color\"),o(d+\".width\"),o(d+\".usecolormap\")),x&&(o(d+\".highlightcolor\"),o(d+\".highlightwidth\")),o(d+\".start\"),o(d+\".end\"),o(d+\".size\")}eIt(e,t,n,o,{prefix:\"\",cLetter:\"c\"}),qPe(e,t,n,o),t._length=null}function qPe(e,t,r,n){var i=n(\"opacityscale\");i===\"max\"?t.opacityscale=[[0,kZ],[1,1]]:i===\"min\"?t.opacityscale=[[0,1],[1,kZ]]:i===\"extremes\"?t.opacityscale=rIt(1,kZ):iIt(i)||(t.opacityscale=void 0)}OPe.exports={supplyDefaults:nIt,opacityscaleDefaults:qPe}});var UPe=ye((kvr,NPe)=>{\"use strict\";var BPe=zv();NPe.exports=function(t,r){r.surfacecolor?BPe(t,r,{vals:r.surfacecolor,containerStr:\"\",cLetter:\"c\"}):BPe(t,r,{vals:r.z,containerStr:\"\",cLetter:\"c\"})}});var ZPe=ye((Cvr,WPe)=>{\"use strict\";var aIt=Rd().gl_surface3d,N5=Rd().ndarray,oIt=Rd().ndarray_linear_interpolate.d2,sIt=QI(),lIt=e8(),jE=Mr().isArrayOrTypedArray,uIt=$y().parseColorScale,VPe=Jy(),cIt=Mu().extractOpts;function GPe(e,t,r){this.scene=e,this.uid=r,this.surface=t,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var Jg=GPe.prototype;Jg.getXat=function(e,t,r,n){var i=jE(this.data.x)?jE(this.data.x[0])?this.data.x[t][e]:this.data.x[e]:e;return r===void 0?i:n.d2l(i,0,r)};Jg.getYat=function(e,t,r,n){var i=jE(this.data.y)?jE(this.data.y[0])?this.data.y[t][e]:this.data.y[t]:t;return r===void 0?i:n.d2l(i,0,r)};Jg.getZat=function(e,t,r,n){var i=this.data.z[t][e];return i===null&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[t][e]),r===void 0?i:n.d2l(i,0,r)};Jg.handlePick=function(e){if(e.object===this.surface){var t=(e.data.index[0]-1)/this.dataScaleX-1,r=(e.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(t),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);e.index=[n,i],e.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],e.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=e.dataCoordinate[a];o!=null&&(e.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return jE(s)&&s[i]&&s[i][n]!==void 0?e.textLabel=s[i][n]:s?e.textLabel=s:e.textLabel=\"\",e.data.dataCoordinate=e.dataCoordinate.slice(),this.surface.highlight(e.data),this.scene.glplot.spikes.position=e.dataCoordinate,!0}};function fIt(e){var t=e[0].rgb,r=e[e.length-1].rgb;return t[0]===r[0]&&t[1]===r[1]&&t[2]===r[2]&&t[3]===r[3]}var U5=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function hIt(e,t){if(e<t)return 0;for(var r=0;Math.floor(e%t)===0;)e/=t,r++;return r}function LZ(e){for(var t=[],r=0;r<U5.length;r++){var n=U5[r];t.push(hIt(e,n))}return t}function dIt(e){for(var t=LZ(e),r=e,n=0;n<U5.length;n++)if(t[n]>0){r=U5[n];break}return r}function vIt(e,t){if(!(e<1||t<1)){for(var r=LZ(e),n=LZ(t),i=1,a=0;a<U5.length;a++)i*=Math.pow(U5[a],Math.max(r[a],n[a]));return i}}function pIt(e){if(e.length!==0){for(var t=1,r=0;r<e.length;r++)t=vIt(t,e[r]);return t}}Jg.calcXnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getXat(t-1,0),i=this.getXat(t,0);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};Jg.calcYnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getYat(0,t-1),i=this.getYat(0,t);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};var jPe=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],HPe=jPe[9],QD=jPe[13];Jg.estimateScale=function(e,t){for(var r=t===0?this.calcXnums(e):this.calcYnums(e),n=1+pIt(r);n<HPe;)n*=2;for(;n>QD;)n--,n/=dIt(n),n++,n<HPe&&(n=QD);var i=Math.round(n/e);return i>1?i:1};function gIt(e,t,r){var n=r[8]+r[2]*t[0]+r[5]*t[1];return e[0]=(r[6]+r[0]*t[0]+r[3]*t[1])/n,e[1]=(r[7]+r[1]*t[0]+r[4]*t[1])/n,e}function mIt(e,t,r){return yIt(e,t,gIt,r),e}function yIt(e,t,r,n){for(var i=[0,0],a=e.shape[0],o=e.shape[1],s=0;s<a;s++)for(var l=0;l<o;l++)r(i,[s,l],n),e.set(s,l,oIt(t,i[0],i[1]));return e}Jg.refineCoords=function(e){for(var t=this.dataScaleX,r=this.dataScaleY,n=e[0].shape[0],i=e[0].shape[1],a=Math.floor(e[0].shape[0]*t+1)|0,o=Math.floor(e[0].shape[1]*r+1)|0,s=1+n+1,l=1+i+1,u=N5(new Float32Array(s*l),[s,l]),c=[1/t,0,0,0,1/r,0,0,0,1],f=0;f<e.length;++f){this.surface.padField(u,e[f]);var h=N5(new Float32Array(a*o),[a,o]);mIt(h,u,c),e[f]=h}};function _It(e,t){for(var r=!1,n=0;n<e.length;n++)if(t===e[n]){r=!0;break}r===!1&&e.push(t)}Jg.setContourLevels=function(){var e=[[],[],[]],t=[!1,!1,!1],r=!1,n,i,a;for(n=0;n<3;++n)if(this.showContour[n]&&(r=!0,this.contourSize[n]>0&&this.contourStart[n]!==null&&this.contourEnd[n]!==null&&this.contourEnd[n]>this.contourStart[n]))for(t[n]=!0,i=this.contourStart[n];i<this.contourEnd[n];i+=this.contourSize[n])a=i*this.scene.dataScale[n],_It(e[n],a);if(r){var o=[[],[],[]];for(n=0;n<3;++n)this.showContour[n]&&(o[n]=t[n]?e[n]:this.scene.contourLevels[n]);this.surface.update({levels:o})}};Jg.update=function(e){var t=this.scene,r=t.fullSceneLayout,n=this.surface,i=uIt(e),a=t.dataScale,o=e.z[0].length,s=e._ylength,l=t.contourLevels;this.data=e;var u,c,f,h,d=[];for(u=0;u<3;u++)for(d[u]=[],c=0;c<o;c++)d[u][c]=[];for(c=0;c<o;c++)for(f=0;f<s;f++)d[0][c][f]=this.getXat(c,f,e.xcalendar,r.xaxis),d[1][c][f]=this.getYat(c,f,e.ycalendar,r.yaxis),d[2][c][f]=this.getZat(c,f,e.zcalendar,r.zaxis);if(e.connectgaps)for(e._emptypoints=lIt(d[2]),sIt(d[2],e._emptypoints),e._interpolatedZ=[],c=0;c<o;c++)for(e._interpolatedZ[c]=[],f=0;f<s;f++)e._interpolatedZ[c][f]=d[2][c][f];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h==null?d[u][c][f]=NaN:h=d[u][c][f]*=a[u];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(this.minValues[u]>h&&(this.minValues[u]=h),this.maxValues[u]<h&&(this.maxValues[u]=h));for(u=0;u<3;u++)this.objectOffset[u]=.5*(this.minValues[u]+this.maxValues[u]);for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(d[u][c][f]-=this.objectOffset[u]);var v=[N5(new Float32Array(o*s),[o,s]),N5(new Float32Array(o*s),[o,s]),N5(new Float32Array(o*s),[o,s])];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)v[u].set(c,f,d[u][c][f]);d=[];var x={colormap:i,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!e.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:e.opacityscale,opacity:e.opacity},b=cIt(e);if(x.intensityBounds=[b.min,b.max],e.surfacecolor){var g=N5(new Float32Array(o*s),[o,s]);for(c=0;c<o;c++)for(f=0;f<s;f++)g.set(c,f,e.surfacecolor[f][c]);v.push(g)}else x.intensityBounds[0]*=a[2],x.intensityBounds[1]*=a[2];(QD<v[0].shape[0]||QD<v[0].shape[1])&&(this.refineData=!1),this.refineData===!0&&(this.dataScaleX=this.estimateScale(v[0].shape[0],0),this.dataScaleY=this.estimateScale(v[0].shape[1],1),(this.dataScaleX!==1||this.dataScaleY!==1)&&this.refineCoords(v)),e.surfacecolor&&(x.intensity=v.pop());var E=[!0,!0,!0],k=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var A=e.contours[k[u]];E[u]=A.highlight,x.showContour[u]=A.show||A.highlight,x.showContour[u]&&(x.contourProject[u]=[A.project.x,A.project.y,A.project.z],A.show?(this.showContour[u]=!0,x.levels[u]=l[u],n.highlightColor[u]=x.contourColor[u]=VPe(A.color),A.usecolormap?n.highlightTint[u]=x.contourTint[u]=0:n.highlightTint[u]=x.contourTint[u]=1,x.contourWidth[u]=A.width,this.contourStart[u]=A.start,this.contourEnd[u]=A.end,this.contourSize[u]=A.size):(this.showContour[u]=!1,this.contourStart[u]=null,this.contourEnd[u]=null,this.contourSize[u]=0),A.highlight&&(x.dynamicColor[u]=VPe(A.highlightcolor),x.dynamicWidth[u]=A.highlightwidth))}fIt(i)&&(x.vertexColor=!0),x.objectOffset=this.objectOffset,x.coords=v,n.update(x),n.visible=e.visible,n.enableDynamic=E,n.enableHighlight=E,n.snapToData=!0,\"lighting\"in e&&(n.ambientLight=e.lighting.ambient,n.diffuseLight=e.lighting.diffuse,n.specularLight=e.lighting.specular,n.roughness=e.lighting.roughness,n.fresnel=e.lighting.fresnel),\"lightposition\"in e&&(n.lightPosition=[e.lightposition.x,e.lightposition.y,e.lightposition.z])};Jg.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()};function xIt(e,t){var r=e.glplot.gl,n=aIt({gl:r}),i=new GPe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}WPe.exports=xIt});var YPe=ye((Lvr,XPe)=>{\"use strict\";XPe.exports={attributes:GE(),supplyDefaults:CZ().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:UPe(),plot:ZPe(),moduleType:\"trace\",name:\"surface\",basePlotModule:$_(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}});var JPe=ye((Pvr,KPe)=>{\"use strict\";KPe.exports=YPe()});var V5=ye((Ivr,QPe)=>{\"use strict\";var bIt=Kl(),PZ=Oc().axisHoverFormat,wIt=Wo().hovertemplateAttrs,Q_=GE(),$Pe=vl(),ex=no().extendFlat;QPe.exports=ex({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:wIt({editType:\"calc\"}),xhoverformat:PZ(\"x\"),yhoverformat:PZ(\"y\"),zhoverformat:PZ(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"}},bIt(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:Q_.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:ex({},Q_.contours.x.show,{}),color:Q_.contours.x.color,width:Q_.contours.x.width,editType:\"calc\"},lightposition:{x:ex({},Q_.lightposition.x,{dflt:1e5}),y:ex({},Q_.lightposition.y,{dflt:1e5}),z:ex({},Q_.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:ex({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\"},editType:\"calc\"},Q_.lighting),hoverinfo:ex({},$Pe.hoverinfo,{editType:\"calc\"}),showlegend:ex({},$Pe.showlegend,{dflt:!1})})});var tz=ye((Rvr,tIe)=>{\"use strict\";var TIt=Kl(),ez=Oc().axisHoverFormat,AIt=Wo().hovertemplateAttrs,WE=V5(),eIe=vl(),IZ=no().extendFlat,SIt=Bu().overrideAll;function RZ(e){return{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}}function DZ(e){return{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}}var H5=tIe.exports=SIt(IZ({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:RZ(\"x\"),y:RZ(\"y\"),z:RZ(\"z\")},caps:{x:DZ(\"x\"),y:DZ(\"y\"),z:DZ(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:AIt(),xhoverformat:ez(\"x\"),yhoverformat:ez(\"y\"),zhoverformat:ez(\"z\"),valuehoverformat:ez(\"value\",1),showlegend:IZ({},eIe.showlegend,{dflt:!1})},TIt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:WE.opacity,lightposition:WE.lightposition,lighting:WE.lighting,flatshading:WE.flatshading,contour:WE.contour,hoverinfo:IZ({},eIe.hoverinfo)}),\"calc\",\"nested\");H5.flatshading.dflt=!0;H5.lighting.facenormalsepsilon.dflt=0;H5.x.editType=H5.y.editType=H5.z.editType=H5.value.editType=\"calc+clearAxisTypes\"});var zZ=ye((Dvr,iIe)=>{\"use strict\";var MIt=Mr(),EIt=ba(),kIt=tz(),CIt=Uh();function LIt(e,t,r,n){function i(a,o){return MIt.coerce(e,t,kIt,a,o)}rIe(e,t,r,n,i)}function rIe(e,t,r,n,i){var a=i(\"isomin\"),o=i(\"isomax\");o!=null&&a!==void 0&&a!==null&&a>o&&(t.isomin=null,t.isomax=null);var s=i(\"x\"),l=i(\"y\"),u=i(\"z\"),c=i(\"value\");if(!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length){t.visible=!1;return}var f=EIt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");f(e,t,[\"x\",\"y\",\"z\"],n),i(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach(function(x){i(x+\"hoverformat\");var b=\"caps.\"+x,g=i(b+\".show\");g&&i(b+\".fill\");var E=\"slices.\"+x,k=i(E+\".show\");k&&(i(E+\".fill\"),i(E+\".locations\"))});var h=i(\"spaceframe.show\");h&&i(\"spaceframe.fill\");var d=i(\"surface.show\");d&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\"));var v=i(\"contour.show\");v&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(x){i(x)}),CIt(e,t,n,i,{prefix:\"\",cLetter:\"c\"}),t._length=null}iIe.exports={supplyDefaults:LIt,supplyIsoDefaults:rIe}});var rz=ye((zvr,aIe)=>{\"use strict\";var qZ=Mr(),PIt=zv();function IIt(e,t){t._len=Math.min(t.u.length,t.v.length,t.w.length,t.x.length,t.y.length,t.z.length),t._u=Gm(t.u,t._len),t._v=Gm(t.v,t._len),t._w=Gm(t.w,t._len),t._x=Gm(t.x,t._len),t._y=Gm(t.y,t._len),t._z=Gm(t.z,t._len);var r=nIe(t);t._gridFill=r.fill,t._Xs=r.Xs,t._Ys=r.Ys,t._Zs=r.Zs,t._len=r.len;var n=0,i,a,o;t.starts&&(i=Gm(t.starts.x||[]),a=Gm(t.starts.y||[]),o=Gm(t.starts.z||[]),n=Math.min(i.length,a.length,o.length)),t._startsX=i||[],t._startsY=a||[],t._startsZ=o||[];var s=0,l=1/0,u;for(u=0;u<t._len;u++){var c=t._u[u],f=t._v[u],h=t._w[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}for(PIt(e,t,{vals:[l,s],containerStr:\"\",cLetter:\"c\"}),u=0;u<n;u++){var v=i[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var x=a[u];r.yMax=Math.max(r.yMax,x),r.yMin=Math.min(r.yMin,x);var b=o[u];r.zMax=Math.max(r.zMax,b),r.zMin=Math.min(r.zMin,b)}t._slen=n,t._normMax=s,t._xbnds=[r.xMin,r.xMax],t._ybnds=[r.yMin,r.yMax],t._zbnds=[r.zMin,r.zMax]}function nIe(e){var t=e._x,r=e._y,n=e._z,i=e._len,a,o,s,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,v=\"\",x,b,g,E,k,A,L,_,C;for(i&&(E=t[0],A=r[0],_=n[0]),i>1&&(k=t[i-1],L=r[i-1],C=n[i-1]),a=0;a<i;a++)l=Math.max(l,t[a]),u=Math.min(u,t[a]),c=Math.max(c,r[a]),f=Math.min(f,r[a]),h=Math.max(h,n[a]),d=Math.min(d,n[a]),!x&&t[a]!==E&&(x=!0,v+=\"x\"),!b&&r[a]!==A&&(b=!0,v+=\"y\"),!g&&n[a]!==_&&(g=!0,v+=\"z\");x||(v+=\"x\"),b||(v+=\"y\"),g||(v+=\"z\");var M=FZ(e._x),p=FZ(e._y),P=FZ(e._z);v=v.replace(\"x\",(E>k?\"-\":\"+\")+\"x\"),v=v.replace(\"y\",(A>L?\"-\":\"+\")+\"y\"),v=v.replace(\"z\",(_>C?\"-\":\"+\")+\"z\");var T=function(){i=0,M=[],p=[],P=[]};(!i||i<M.length*p.length*P.length)&&T();var F=function(ze){return ze===\"x\"?t:ze===\"y\"?r:n},q=function(ze){return ze===\"x\"?M:ze===\"y\"?p:P},V=function(ze){return ze[i-1]<ze[0]?-1:1},H=F(v[1]),X=F(v[3]),G=F(v[5]),N=q(v[1]).length,W=q(v[3]).length,re=q(v[5]).length,ae=!1,_e=function(ze,Ce,me){return N*(W*ze+Ce)+me},Me=V(F(v[1])),ke=V(F(v[3])),ge=V(F(v[5]));for(a=0;a<re-1;a++){for(o=0;o<W-1;o++){for(s=0;s<N-1;s++){var ie=_e(a,o,s),Te=_e(a,o,s+1),Ee=_e(a,o+1,s),Ae=_e(a+1,o,s);if((!(H[ie]*Me<H[Te]*Me)||!(X[ie]*ke<X[Ee]*ke)||!(G[ie]*ge<G[Ae]*ge))&&(ae=!0),ae)break}if(ae)break}if(ae)break}return ae&&(qZ.warn(\"Encountered arbitrary coordinates! Unable to input data grid.\"),T()),{xMin:u,yMin:f,zMin:d,xMax:l,yMax:c,zMax:h,Xs:M,Ys:p,Zs:P,len:i,fill:v}}function FZ(e){return qZ.distinctVals(e).vals}function Gm(e,t){if(t===void 0&&(t=e.length),qZ.isTypedArray(e))return e.subarray(0,t);for(var r=[],n=0;n<t;n++)r[n]=+e[n];return r}aIe.exports={calc:IIt,filter:Gm,processGrid:nIe}});var OZ=ye((Fvr,oIe)=>{\"use strict\";var RIt=zv(),DIt=rz().processGrid,iz=rz().filter;oIe.exports=function(t,r){r._len=Math.min(r.x.length,r.y.length,r.z.length,r.value.length),r._x=iz(r.x,r._len),r._y=iz(r.y,r._len),r._z=iz(r.z,r._len),r._value=iz(r.value,r._len);var n=DIt(r);r._gridFill=n.fill,r._Xs=n.Xs,r._Ys=n.Ys,r._Zs=n.Zs,r._len=n.len;for(var i=1/0,a=-1/0,o=0;o<r._len;o++){var s=r._value[o];i=Math.min(i,s),a=Math.max(a,s)}r._minValues=i,r._maxValues=a,r._vMin=r.isomin===void 0||r.isomin===null?i:r.isomin,r._vMax=r.isomax===void 0||r.isomax===null?a:r.isomax,RIt(t,r,{vals:[r._vMin,r._vMax],containerStr:\"\",cLetter:\"c\"})}});var G5=ye((qvr,sIe)=>{\"use strict\";sIe.exports=function(t,r,n,i){i=i||t.length;for(var a=new Array(i),o=0;o<i;o++)a[o]=[t[o],r[o],n[o]];return a}});var nz=ye((Ovr,fIe)=>{\"use strict\";var zIt=Rd().gl_mesh3d,FIt=$y().parseColorScale,qIt=Mr().isArrayOrTypedArray,OIt=Jy(),BIt=Mu().extractOpts,lIe=G5(),ZE=function(e,t){for(var r=t.length-1;r>0;r--){var n=Math.min(t[r],t[r-1]),i=Math.max(t[r],t[r-1]);if(i>n&&n<e&&e<=i)return{id:r,distRatio:(i-e)/(i-n)}}return{id:0,distRatio:0}};function uIe(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var BZ=uIe.prototype;BZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=ZE(r,this.data._Xs).id,l=ZE(n,this.data._Ys).id,u=ZE(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return qIt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};BZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=cIe(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=lIe(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=lIe(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:OIt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=BIt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=FIt(e),this.mesh.update(o)};BZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var NIt=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function cIe(e){e._meshI=[],e._meshJ=[],e._meshK=[];var t=e.surface.show,r=e.spaceframe.show,n=e.surface.fill,i=e.spaceframe.fill,a=!1,o=!1,s=0,l,u,c=e._Xs,f=e._Ys,h=e._Zs,d=c.length,v=f.length,x=h.length,b=NIt.indexOf(e._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),g=function(bt,Lt,St){switch(b){case 5:return St+x*Lt+x*v*bt;case 4:return St+x*bt+x*d*Lt;case 3:return Lt+v*St+v*x*bt;case 2:return Lt+v*bt+v*d*St;case 1:return bt+d*St+d*x*Lt;default:return bt+d*Lt+d*v*St}},E=e._minValues,k=e._maxValues,A=e._vMin,L=e._vMax,_,C,M,p;function P(bt,Lt,St){for(var Et=p.length,dt=u;dt<Et;dt++)if(bt===_[dt]&&Lt===C[dt]&&St===M[dt])return dt;return-1}function T(){u=l}function F(){_=[],C=[],M=[],p=[],l=0,T()}function q(bt,Lt,St,Et){return _.push(bt),C.push(Lt),M.push(St),p.push(Et),l++,l-1}function V(bt,Lt,St){return e._meshI.push(bt),e._meshJ.push(Lt),e._meshK.push(St),s++,s-1}function H(bt,Lt,St){for(var Et=[],dt=0;dt<bt.length;dt++)Et[dt]=(bt[dt]+Lt[dt]+St[dt])/3;return Et}function X(bt,Lt,St){for(var Et=[],dt=0;dt<bt.length;dt++)Et[dt]=bt[dt]*(1-St)+St*Lt[dt];return Et}var G;function N(bt){G=bt}function W(bt,Lt){var St=bt[0],Et=bt[1],dt=bt[2],Ht=H(St,Et,dt),$t=Math.sqrt(1-G),fr=X(Ht,St,$t),_r=X(Ht,Et,$t),Br=X(Ht,dt,$t),Or=Lt[0],Nr=Lt[1],ut=Lt[2];return{xyzv:[[St,Et,_r],[_r,fr,St],[Et,dt,Br],[Br,_r,Et],[dt,St,fr],[fr,Br,dt]],abc:[[Or,Nr,-1],[-1,-1,Or],[Nr,ut,-1],[-1,-1,Nr],[ut,Or,-1],[-1,-1,ut]]}}function re(bt,Lt){return bt===\"all\"||bt===null?!0:bt.indexOf(Lt)>-1}function ae(bt,Lt){return bt===null?Lt:bt}function _e(bt,Lt,St){T();var Et=[Lt],dt=[St];if(G>=1)Et=[Lt],dt=[St];else if(G>0){var Ht=W(Lt,St);Et=Ht.xyzv,dt=Ht.abc}for(var $t=0;$t<Et.length;$t++){Lt=Et[$t],St=dt[$t];for(var fr=[],_r=0;_r<3;_r++){var Br=Lt[_r][0],Or=Lt[_r][1],Nr=Lt[_r][2],ut=Lt[_r][3],Ne=St[_r]>-1?St[_r]:P(Br,Or,Nr);Ne>-1?fr[_r]=Ne:fr[_r]=q(Br,Or,Nr,ae(bt,ut))}V(fr[0],fr[1],fr[2])}}function Me(bt,Lt,St){var Et=function(dt,Ht,$t){_e(bt,[Lt[dt],Lt[Ht],Lt[$t]],[St[dt],St[Ht],St[$t]])};Et(0,1,2),Et(2,3,0)}function ke(bt,Lt,St){var Et=function(dt,Ht,$t){_e(bt,[Lt[dt],Lt[Ht],Lt[$t]],[St[dt],St[Ht],St[$t]])};Et(0,1,2),Et(3,0,1),Et(2,3,0),Et(1,2,3)}function ge(bt,Lt,St,Et){var dt=bt[3];dt<St&&(dt=St),dt>Et&&(dt=Et);for(var Ht=(bt[3]-dt)/(bt[3]-Lt[3]+1e-9),$t=[],fr=0;fr<4;fr++)$t[fr]=(1-Ht)*bt[fr]+Ht*Lt[fr];return $t}function ie(bt,Lt,St){return bt>=Lt&&bt<=St}function Te(bt){var Lt=.001*(L-A);return bt>=A-Lt&&bt<=L+Lt}function Ee(bt){for(var Lt=[],St=0;St<4;St++){var Et=bt[St];Lt.push([e._x[Et],e._y[Et],e._z[Et],e._value[Et]])}return Lt}var Ae=3;function ze(bt,Lt,St,Et,dt,Ht){Ht||(Ht=1),St=[-1,-1,-1];var $t=!1,fr=[ie(Lt[0][3],Et,dt),ie(Lt[1][3],Et,dt),ie(Lt[2][3],Et,dt)];if(!fr[0]&&!fr[1]&&!fr[2])return!1;var _r=function(Or,Nr,ut){return Te(Nr[0][3])&&Te(Nr[1][3])&&Te(Nr[2][3])?(_e(Or,Nr,ut),!0):Ht<Ae?ze(Or,Nr,ut,A,L,++Ht):!1};if(fr[0]&&fr[1]&&fr[2])return _r(bt,Lt,St)||$t;var Br=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach(function(Or){if(fr[Or[0]]&&fr[Or[1]]&&!fr[Or[2]]){var Nr=Lt[Or[0]],ut=Lt[Or[1]],Ne=Lt[Or[2]],Ye=ge(Ne,Nr,Et,dt),Ve=ge(Ne,ut,Et,dt);$t=_r(bt,[Ve,Ye,Nr],[-1,-1,St[Or[0]]])||$t,$t=_r(bt,[Nr,ut,Ve],[St[Or[0]],St[Or[1]],-1])||$t,Br=!0}}),Br||[[0,1,2],[1,2,0],[2,0,1]].forEach(function(Or){if(fr[Or[0]]&&!fr[Or[1]]&&!fr[Or[2]]){var Nr=Lt[Or[0]],ut=Lt[Or[1]],Ne=Lt[Or[2]],Ye=ge(ut,Nr,Et,dt),Ve=ge(Ne,Nr,Et,dt);$t=_r(bt,[Ve,Ye,Nr],[-1,-1,St[Or[0]]])||$t,Br=!0}}),$t}function Ce(bt,Lt,St,Et){var dt=!1,Ht=Ee(Lt),$t=[ie(Ht[0][3],St,Et),ie(Ht[1][3],St,Et),ie(Ht[2][3],St,Et),ie(Ht[3][3],St,Et)];if(!$t[0]&&!$t[1]&&!$t[2]&&!$t[3])return dt;if($t[0]&&$t[1]&&$t[2]&&$t[3])return o&&(dt=ke(bt,Ht,Lt)||dt),dt;var fr=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach(function(_r){if($t[_r[0]]&&$t[_r[1]]&&$t[_r[2]]&&!$t[_r[3]]){var Br=Ht[_r[0]],Or=Ht[_r[1]],Nr=Ht[_r[2]],ut=Ht[_r[3]];if(o)dt=_e(bt,[Br,Or,Nr],[Lt[_r[0]],Lt[_r[1]],Lt[_r[2]]])||dt;else{var Ne=ge(ut,Br,St,Et),Ye=ge(ut,Or,St,Et),Ve=ge(ut,Nr,St,Et);dt=_e(null,[Ne,Ye,Ve],[-1,-1,-1])||dt}fr=!0}}),fr||([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach(function(_r){if($t[_r[0]]&&$t[_r[1]]&&!$t[_r[2]]&&!$t[_r[3]]){var Br=Ht[_r[0]],Or=Ht[_r[1]],Nr=Ht[_r[2]],ut=Ht[_r[3]],Ne=ge(Nr,Br,St,Et),Ye=ge(Nr,Or,St,Et),Ve=ge(ut,Or,St,Et),Xe=ge(ut,Br,St,Et);o?(dt=_e(bt,[Br,Xe,Ne],[Lt[_r[0]],-1,-1])||dt,dt=_e(bt,[Or,Ye,Ve],[Lt[_r[1]],-1,-1])||dt):dt=Me(null,[Ne,Ye,Ve,Xe],[-1,-1,-1,-1])||dt,fr=!0}}),fr)||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach(function(_r){if($t[_r[0]]&&!$t[_r[1]]&&!$t[_r[2]]&&!$t[_r[3]]){var Br=Ht[_r[0]],Or=Ht[_r[1]],Nr=Ht[_r[2]],ut=Ht[_r[3]],Ne=ge(Or,Br,St,Et),Ye=ge(Nr,Br,St,Et),Ve=ge(ut,Br,St,Et);o?(dt=_e(bt,[Br,Ne,Ye],[Lt[_r[0]],-1,-1])||dt,dt=_e(bt,[Br,Ye,Ve],[Lt[_r[0]],-1,-1])||dt,dt=_e(bt,[Br,Ve,Ne],[Lt[_r[0]],-1,-1])||dt):dt=_e(null,[Ne,Ye,Ve],[-1,-1,-1])||dt,fr=!0}}),dt}function me(bt,Lt,St,Et,dt,Ht,$t,fr,_r,Br,Or){var Nr=!1;return a&&(re(bt,\"A\")&&(Nr=Ce(null,[Lt,St,Et,Ht],Br,Or)||Nr),re(bt,\"B\")&&(Nr=Ce(null,[St,Et,dt,_r],Br,Or)||Nr),re(bt,\"C\")&&(Nr=Ce(null,[St,Ht,$t,_r],Br,Or)||Nr),re(bt,\"D\")&&(Nr=Ce(null,[Et,Ht,fr,_r],Br,Or)||Nr),re(bt,\"E\")&&(Nr=Ce(null,[St,Et,Ht,_r],Br,Or)||Nr)),o&&(Nr=Ce(bt,[St,Et,Ht,_r],Br,Or)||Nr),Nr}function Re(bt,Lt,St,Et,dt,Ht,$t,fr){return[fr[0]===!0?!0:ze(bt,Ee([Lt,St,Et]),[Lt,St,Et],Ht,$t),fr[1]===!0?!0:ze(bt,Ee([Et,dt,Lt]),[Et,dt,Lt],Ht,$t)]}function ce(bt,Lt,St,Et,dt,Ht,$t,fr,_r){return fr?Re(bt,Lt,St,dt,Et,Ht,$t,_r):Re(bt,St,dt,Et,Lt,Ht,$t,_r)}function Ge(bt,Lt,St,Et,dt,Ht,$t){var fr=!1,_r,Br,Or,Nr,ut=function(){fr=ze(bt,[_r,Br,Or],[-1,-1,-1],dt,Ht)||fr,fr=ze(bt,[Or,Nr,_r],[-1,-1,-1],dt,Ht)||fr},Ne=$t[0],Ye=$t[1],Ve=$t[2];return Ne&&(_r=X(Ee([g(Lt,St-0,Et-0)])[0],Ee([g(Lt-1,St-0,Et-0)])[0],Ne),Br=X(Ee([g(Lt,St-0,Et-1)])[0],Ee([g(Lt-1,St-0,Et-1)])[0],Ne),Or=X(Ee([g(Lt,St-1,Et-1)])[0],Ee([g(Lt-1,St-1,Et-1)])[0],Ne),Nr=X(Ee([g(Lt,St-1,Et-0)])[0],Ee([g(Lt-1,St-1,Et-0)])[0],Ne),ut()),Ye&&(_r=X(Ee([g(Lt-0,St,Et-0)])[0],Ee([g(Lt-0,St-1,Et-0)])[0],Ye),Br=X(Ee([g(Lt-0,St,Et-1)])[0],Ee([g(Lt-0,St-1,Et-1)])[0],Ye),Or=X(Ee([g(Lt-1,St,Et-1)])[0],Ee([g(Lt-1,St-1,Et-1)])[0],Ye),Nr=X(Ee([g(Lt-1,St,Et-0)])[0],Ee([g(Lt-1,St-1,Et-0)])[0],Ye),ut()),Ve&&(_r=X(Ee([g(Lt-0,St-0,Et)])[0],Ee([g(Lt-0,St-0,Et-1)])[0],Ve),Br=X(Ee([g(Lt-0,St-1,Et)])[0],Ee([g(Lt-0,St-1,Et-1)])[0],Ve),Or=X(Ee([g(Lt-1,St-1,Et)])[0],Ee([g(Lt-1,St-1,Et-1)])[0],Ve),Nr=X(Ee([g(Lt-1,St-0,Et)])[0],Ee([g(Lt-1,St-0,Et-1)])[0],Ve),ut()),fr}function nt(bt,Lt,St,Et,dt,Ht,$t,fr,_r,Br,Or,Nr){var ut=bt;return Nr?(a&&bt===\"even\"&&(ut=null),me(ut,Lt,St,Et,dt,Ht,$t,fr,_r,Br,Or)):(a&&bt===\"odd\"&&(ut=null),me(ut,_r,fr,$t,Ht,dt,Et,St,Lt,Br,Or))}function ct(bt,Lt,St,Et,dt){for(var Ht=[],$t=0,fr=0;fr<Lt.length;fr++)for(var _r=Lt[fr],Br=1;Br<x;Br++)for(var Or=1;Or<v;Or++)Ht.push(ce(bt,g(_r,Or-1,Br-1),g(_r,Or-1,Br),g(_r,Or,Br-1),g(_r,Or,Br),St,Et,(_r+Or+Br)%2,dt&&dt[$t]?dt[$t]:[])),$t++;return Ht}function qt(bt,Lt,St,Et,dt){for(var Ht=[],$t=0,fr=0;fr<Lt.length;fr++)for(var _r=Lt[fr],Br=1;Br<d;Br++)for(var Or=1;Or<x;Or++)Ht.push(ce(bt,g(Br-1,_r,Or-1),g(Br,_r,Or-1),g(Br-1,_r,Or),g(Br,_r,Or),St,Et,(Br+_r+Or)%2,dt&&dt[$t]?dt[$t]:[])),$t++;return Ht}function rt(bt,Lt,St,Et,dt){for(var Ht=[],$t=0,fr=0;fr<Lt.length;fr++)for(var _r=Lt[fr],Br=1;Br<v;Br++)for(var Or=1;Or<d;Or++)Ht.push(ce(bt,g(Or-1,Br-1,_r),g(Or-1,Br,_r),g(Or,Br-1,_r),g(Or,Br,_r),St,Et,(Or+Br+_r)%2,dt&&dt[$t]?dt[$t]:[])),$t++;return Ht}function ot(bt,Lt,St){for(var Et=1;Et<x;Et++)for(var dt=1;dt<v;dt++)for(var Ht=1;Ht<d;Ht++)nt(bt,g(Ht-1,dt-1,Et-1),g(Ht-1,dt-1,Et),g(Ht-1,dt,Et-1),g(Ht-1,dt,Et),g(Ht,dt-1,Et-1),g(Ht,dt-1,Et),g(Ht,dt,Et-1),g(Ht,dt,Et),Lt,St,(Ht+dt+Et)%2)}function Rt(bt,Lt,St){o=!0,ot(bt,Lt,St),o=!1}function kt(bt,Lt,St){a=!0,ot(bt,Lt,St),a=!1}function Ct(bt,Lt,St,Et,dt,Ht){for(var $t=[],fr=0,_r=0;_r<Lt.length;_r++)for(var Br=Lt[_r],Or=1;Or<x;Or++)for(var Nr=1;Nr<v;Nr++)$t.push(Ge(bt,Br,Nr,Or,St,Et,dt[_r],Ht&&Ht[fr]?Ht[fr]:[])),fr++;return $t}function Yt(bt,Lt,St,Et,dt,Ht){for(var $t=[],fr=0,_r=0;_r<Lt.length;_r++)for(var Br=Lt[_r],Or=1;Or<d;Or++)for(var Nr=1;Nr<x;Nr++)$t.push(Ge(bt,Or,Br,Nr,St,Et,dt[_r],Ht&&Ht[fr]?Ht[fr]:[])),fr++;return $t}function xr(bt,Lt,St,Et,dt,Ht){for(var $t=[],fr=0,_r=0;_r<Lt.length;_r++)for(var Br=Lt[_r],Or=1;Or<v;Or++)for(var Nr=1;Nr<d;Nr++)$t.push(Ge(bt,Nr,Or,Br,St,Et,dt[_r],Ht&&Ht[fr]?Ht[fr]:[])),fr++;return $t}function er(bt,Lt){for(var St=[],Et=bt;Et<Lt;Et++)St.push(Et);return St}function Ke(){for(var bt=0;bt<d;bt++)for(var Lt=0;Lt<v;Lt++)for(var St=0;St<x;St++){var Et=g(bt,Lt,St);q(e._x[Et],e._y[Et],e._z[Et],e._value[Et])}}function xt(){F(),Ke();var bt=null;if(r&&i&&(N(i),Rt(bt,A,L)),t&&n){N(n);for(var Lt=e.surface.pattern,St=e.surface.count,Et=0;Et<St;Et++){var dt=St===1?.5:Et/(St-1),Ht=(1-dt)*A+dt*L,$t=Math.abs(Ht-E),fr=Math.abs(Ht-k),_r=$t>fr?[E,Ht]:[Ht,k];kt(Lt,_r[0],_r[1])}}var Br=[[Math.min(A,k),Math.max(A,k)],[Math.min(E,L),Math.max(E,L)]];[\"x\",\"y\",\"z\"].forEach(function(Or){for(var Nr=[],ut=0;ut<Br.length;ut++){var Ne=0,Ye=Br[ut][0],Ve=Br[ut][1],Xe=e.slices[Or];if(Xe.show&&Xe.fill){N(Xe.fill);var ht=[],Le=[],xe=[];if(Xe.locations.length)for(var Se=0;Se<Xe.locations.length;Se++){var lt=ZE(Xe.locations[Se],Or===\"x\"?c:Or===\"y\"?f:h);lt.distRatio===0?ht.push(lt.id):lt.id>0&&(Le.push(lt.id),Or===\"x\"?xe.push([lt.distRatio,0,0]):Or===\"y\"?xe.push([0,lt.distRatio,0]):xe.push([0,0,lt.distRatio]))}else Or===\"x\"?ht=er(1,d-1):Or===\"y\"?ht=er(1,v-1):ht=er(1,x-1);Le.length>0&&(Or===\"x\"?Nr[Ne]=Ct(bt,Le,Ye,Ve,xe,Nr[Ne]):Or===\"y\"?Nr[Ne]=Yt(bt,Le,Ye,Ve,xe,Nr[Ne]):Nr[Ne]=xr(bt,Le,Ye,Ve,xe,Nr[Ne]),Ne++),ht.length>0&&(Or===\"x\"?Nr[Ne]=ct(bt,ht,Ye,Ve,Nr[Ne]):Or===\"y\"?Nr[Ne]=qt(bt,ht,Ye,Ve,Nr[Ne]):Nr[Ne]=rt(bt,ht,Ye,Ve,Nr[Ne]),Ne++)}var Gt=e.caps[Or];Gt.show&&Gt.fill&&(N(Gt.fill),Or===\"x\"?Nr[Ne]=ct(bt,[0,d-1],Ye,Ve,Nr[Ne]):Or===\"y\"?Nr[Ne]=qt(bt,[0,v-1],Ye,Ve,Nr[Ne]):Nr[Ne]=rt(bt,[0,x-1],Ye,Ve,Nr[Ne]),Ne++)}}),s===0&&F(),e._meshX=_,e._meshY=C,e._meshZ=M,e._meshIntensity=p,e._Xs=c,e._Ys=f,e._Zs=h}return xt(),e}function UIt(e,t){var r=e.glplot.gl,n=zIt({gl:r}),i=new uIe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}fIe.exports={findNearestOnAxis:ZE,generateIsoMeshes:cIe,createIsosurfaceTrace:UIt}});var dIe=ye((Bvr,hIe)=>{\"use strict\";hIe.exports={attributes:tz(),supplyDefaults:zZ().supplyDefaults,calc:OZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:nz().createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var pIe=ye((Nvr,vIe)=>{\"use strict\";vIe.exports=dIe()});var UZ=ye((Uvr,mIe)=>{\"use strict\";var VIt=Kl(),xh=tz(),HIt=GE(),gIe=vl(),NZ=no().extendFlat,GIt=Bu().overrideAll,az=mIe.exports=GIt(NZ({x:xh.x,y:xh.y,z:xh.z,value:xh.value,isomin:xh.isomin,isomax:xh.isomax,surface:xh.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:xh.slices,caps:xh.caps,text:xh.text,hovertext:xh.hovertext,xhoverformat:xh.xhoverformat,yhoverformat:xh.yhoverformat,zhoverformat:xh.zhoverformat,valuehoverformat:xh.valuehoverformat,hovertemplate:xh.hovertemplate},VIt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:xh.colorbar,opacity:xh.opacity,opacityscale:HIt.opacityscale,lightposition:xh.lightposition,lighting:xh.lighting,flatshading:xh.flatshading,contour:xh.contour,hoverinfo:NZ({},gIe.hoverinfo),showlegend:NZ({},gIe.showlegend,{dflt:!1})}),\"calc\",\"nested\");az.x.editType=az.y.editType=az.z.editType=az.value.editType=\"calc+clearAxisTypes\"});var _Ie=ye((Vvr,yIe)=>{\"use strict\";var jIt=Mr(),WIt=UZ(),ZIt=zZ().supplyIsoDefaults,XIt=CZ().opacityscaleDefaults;yIe.exports=function(t,r,n,i){function a(o,s){return jIt.coerce(t,r,WIt,o,s)}ZIt(t,r,n,i,a),XIt(t,r,i,a)}});var TIe=ye((Hvr,wIe)=>{\"use strict\";var YIt=Rd().gl_mesh3d,KIt=$y().parseColorScale,JIt=Mr().isArrayOrTypedArray,$It=Jy(),QIt=Mu().extractOpts,xIe=G5(),VZ=nz().findNearestOnAxis,e8t=nz().generateIsoMeshes;function bIe(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var HZ=bIe.prototype;HZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=VZ(r,this.data._Xs).id,l=VZ(n,this.data._Ys).id,u=VZ(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return JIt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};HZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=e8t(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=xIe(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=xIe(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,opacityscale:e.opacityscale,contourEnable:e.contour.show,contourColor:$It(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=QIt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=KIt(e),this.mesh.update(o)};HZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function t8t(e,t){var r=e.glplot.gl,n=YIt({gl:r}),i=new bIe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}wIe.exports=t8t});var SIe=ye((Gvr,AIe)=>{\"use strict\";AIe.exports={attributes:UZ(),supplyDefaults:_Ie(),calc:OZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:TIe(),moduleType:\"trace\",name:\"volume\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var EIe=ye((jvr,MIe)=>{\"use strict\";MIe.exports=SIe()});var LIe=ye((Wvr,CIe)=>{\"use strict\";var r8t=ba(),kIe=Mr(),i8t=Uh(),n8t=V5();CIe.exports=function(t,r,n,i){function a(c,f){return kIe.coerce(t,r,n8t,c,f)}function o(c){var f=c.map(function(h){var d=a(h);return d&&kIe.isArrayOrTypedArray(d)?d:null});return f.every(function(h){return h&&h.length===f[0].length})&&f}var s=o([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(o([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var l=r8t.getComponentMethod(\"calendars\",\"handleTraceDefaults\");l(t,r,[\"x\",\"y\",\"z\"],i),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach(function(c){a(c)});var u=a(\"contour.show\");u&&(a(\"contour.color\"),a(\"contour.width\")),\"intensity\"in t?(a(\"intensity\"),a(\"intensitymode\"),i8t(t,r,i,a,{prefix:\"\",cLetter:\"c\"})):(r.showscale=!1,\"facecolor\"in t?a(\"facecolor\"):\"vertexcolor\"in t?a(\"vertexcolor\"):a(\"color\",n)),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),r._length=null}});var IIe=ye((Zvr,PIe)=>{\"use strict\";var a8t=zv();PIe.exports=function(t,r){r.intensity&&a8t(t,r,{vals:r.intensity,containerStr:\"\",cLetter:\"c\"})}});var qIe=ye((Xvr,FIe)=>{\"use strict\";var o8t=Rd().gl_mesh3d,s8t=Rd().delaunay_triangulate,l8t=Rd().alpha_shape,u8t=Rd().convex_hull,c8t=$y().parseColorScale,f8t=Mr().isArrayOrTypedArray,ZZ=Jy(),h8t=Mu().extractOpts,RIe=G5();function zIe(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var XZ=zIe.prototype;XZ.handlePick=function(e){if(e.object===this.mesh){var t=e.index=e.data.index;e.data._cellCenter?e.traceCoordinate=e.data.dataCoordinate:e.traceCoordinate=[this.data.x[t],this.data.y[t],this.data.z[t]];var r=this.data.hovertext||this.data.text;return f8t(r)&&r[t]!==void 0?e.textLabel=r[t]:r&&(e.textLabel=r),!0}};function DIe(e){for(var t=[],r=e.length,n=0;n<r;n++)t[n]=ZZ(e[n]);return t}function GZ(e,t,r,n){for(var i=[],a=t.length,o=0;o<a;o++)i[o]=e.d2l(t[o],0,n)*r;return i}function jZ(e){for(var t=[],r=e.length,n=0;n<r;n++)t[n]=Math.round(e[n]);return t}function d8t(e,t){for(var r=[\"x\",\"y\",\"z\"].indexOf(e),n=[],i=t.length,a=0;a<i;a++)n[a]=[t[a][(r+1)%3],t[a][(r+2)%3]];return s8t(n)}function WZ(e,t){for(var r=e.length,n=0;n<r;n++)if(e[n]<=-.5||e[n]>=t-.5)return!1;return!0}XZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=e;var n=e.x.length,i=RIe(GZ(r.xaxis,e.x,t.dataScale[0],e.xcalendar),GZ(r.yaxis,e.y,t.dataScale[1],e.ycalendar),GZ(r.zaxis,e.z,t.dataScale[2],e.zcalendar)),a;if(e.i&&e.j&&e.k){if(e.i.length!==e.j.length||e.j.length!==e.k.length||!WZ(e.i,n)||!WZ(e.j,n)||!WZ(e.k,n))return;a=RIe(jZ(e.i),jZ(e.j),jZ(e.k))}else e.alphahull===0?a=u8t(i):e.alphahull>0?a=l8t(e.alphahull,i):a=d8t(e.delaunayaxis,i);var o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:ZZ(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading};if(e.intensity){var s=h8t(e);this.color=\"#fff\";var l=e.intensitymode;o[l+\"Intensity\"]=e.intensity,o[l+\"IntensityBounds\"]=[s.min,s.max],o.colormap=c8t(e)}else e.vertexcolor?(this.color=e.vertexcolor[0],o.vertexColors=DIe(e.vertexcolor)):e.facecolor?(this.color=e.facecolor[0],o.cellColors=DIe(e.facecolor)):(this.color=e.color,o.meshColor=ZZ(e.color));this.mesh.update(o)};XZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function v8t(e,t){var r=e.glplot.gl,n=o8t({gl:r}),i=new 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p8t=Kl(),j5=Oc().axisHoverFormat,g8t=Wo().hovertemplateAttrs,m8t=V5(),VIe=vl(),YZ=no().extendFlat,oz={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:g8t({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:j5(\"u\",1),vhoverformat:j5(\"v\",1),whoverformat:j5(\"w\",1),xhoverformat:j5(\"x\"),yhoverformat:j5(\"y\"),zhoverformat:j5(\"z\"),showlegend:YZ({},VIe.showlegend,{dflt:!1})};YZ(oz,p8t(\"\",{colorAttr:\"u/v/w 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T8t=Rd().gl_cone3d,A8t=Rd().gl_cone3d.createConeMesh,S8t=Mr().simpleMap,M8t=$y().parseColorScale,E8t=Mu().extractOpts,k8t=Mr().isArrayOrTypedArray,XIe=G5();function YIe(e,t){this.scene=e,this.uid=t,this.mesh=null,this.data=null}var JZ=YIe.prototype;JZ.handlePick=function(e){if(e.object===this.mesh){var t=e.index=e.data.index,r=this.data.x[t],n=this.data.y[t],i=this.data.z[t],a=this.data.u[t],o=this.data.v[t],s=this.data.w[t];e.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return k8t(l)&&l[t]!==void 0?e.textLabel=l[t]:l&&(e.textLabel=l),!0}};var C8t={xaxis:0,yaxis:1,zaxis:2},L8t={tip:1,tail:0,cm:.25,center:.5},P8t={tip:1,tail:1,cm:.75,center:.5};function KIe(e,t){var r=e.fullSceneLayout,n=e.dataScale,i={};function a(c,f){var h=r[f],d=n[C8t[f]];return S8t(c,function(v){return h.d2l(v)*d})}i.vectors=XIe(a(t.u,\"xaxis\"),a(t.v,\"yaxis\"),a(t.w,\"zaxis\"),t._len),i.positions=XIe(a(t.x,\"xaxis\"),a(t.y,\"yaxis\"),a(t.z,\"zaxis\"),t._len);var o=E8t(t);i.colormap=M8t(t),i.vertexIntensityBounds=[o.min/t._normMax,o.max/t._normMax],i.coneOffset=L8t[t.anchor];var s=t.sizemode;s===\"scaled\"?i.coneSize=t.sizeref||.5:s===\"absolute\"?i.coneSize=t.sizeref&&t._normMax?t.sizeref/t._normMax:.5:s===\"raw\"&&(i.coneSize=t.sizeref),i.coneSizemode=s;var l=T8t(i),u=t.lightposition;return l.lightPosition=[u.x,u.y,u.z],l.ambient=t.lighting.ambient,l.diffuse=t.lighting.diffuse,l.specular=t.lighting.specular,l.roughness=t.lighting.roughness,l.fresnel=t.lighting.fresnel,l.opacity=t.opacity,t._pad=P8t[t.anchor]*l.vectorScale*l.coneScale*t._normMax,l}JZ.update=function(e){this.data=e;var t=KIe(this.scene,e);this.mesh.update(t)};JZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function I8t(e,t){var r=e.glplot.gl,n=KIe(e,t),i=A8t(r,n),a=new YIe(e,t.uid);return a.mesh=i,a.data=t,i._trace=a,e.glplot.add(i),a}JIe.exports=I8t});var e8e=ye((tpr,QIe)=>{\"use 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R8t=Kl(),W5=Oc().axisHoverFormat,D8t=Wo().hovertemplateAttrs,z8t=V5(),i8e=vl(),$Z=no().extendFlat,sz={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:D8t({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:W5(\"u\",1),vhoverformat:W5(\"v\",1),whoverformat:W5(\"w\",1),xhoverformat:W5(\"x\"),yhoverformat:W5(\"y\"),zhoverformat:W5(\"z\"),showlegend:$Z({},i8e.showlegend,{dflt:!1})};$Z(sz,R8t(\"\",{colorAttr:\"u/v/w 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o=a(\"u\"),s=a(\"v\"),l=a(\"w\"),u=a(\"x\"),c=a(\"y\"),f=a(\"z\");if(!o||!o.length||!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length||!f||!f.length){r.visible=!1;return}a(\"starts.x\"),a(\"starts.y\"),a(\"starts.z\"),a(\"maxdisplayed\"),a(\"sizeref\"),a(\"lighting.ambient\"),a(\"lighting.diffuse\"),a(\"lighting.specular\"),a(\"lighting.roughness\"),a(\"lighting.fresnel\"),a(\"lightposition.x\"),a(\"lightposition.y\"),a(\"lightposition.z\"),O8t(t,r,i,a,{prefix:\"\",cLetter:\"c\"}),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"uhoverformat\"),a(\"vhoverformat\"),a(\"whoverformat\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),r._length=null}});var v8e=ye((apr,d8e)=>{\"use strict\";var u8e=Rd().gl_streamtube3d,N8t=u8e.createTubeMesh,U8t=Mr(),V8t=$y().parseColorScale,H8t=Mu().extractOpts,s8e=G5(),c8e={xaxis:0,yaxis:1,zaxis:2};function f8e(e,t){this.scene=e,this.uid=t,this.mesh=null,this.data=null}var tX=f8e.prototype;tX.handlePick=function(e){var t=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(o,s){var l=t[s],u=r[c8e[s]];return l.l2c(o)/u}if(e.object===this.mesh){var i=e.data.position,a=e.data.velocity;return e.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),e.data.intensity*this.data._normMax,e.data.divergence],e.textLabel=this.data.hovertext||this.data.text,!0}};function l8e(e){var t=e.length,r;return t>2?r=e.slice(1,t-1):t===2?r=[(e[0]+e[1])/2]:r=e,r}function eX(e){var t=e.length;return t===1?[.5,.5]:[e[1]-e[0],e[t-1]-e[t-2]]}function h8e(e,t){var r=e.fullSceneLayout,n=e.dataScale,i=t._len,a={};function o(F,q){var V=r[q],H=n[c8e[q]];return U8t.simpleMap(F,function(X){return V.d2l(X)*H})}if(a.vectors=s8e(o(t._u,\"xaxis\"),o(t._v,\"yaxis\"),o(t._w,\"zaxis\"),i),!i)return{positions:[],cells:[]};var s=o(t._Xs,\"xaxis\"),l=o(t._Ys,\"yaxis\"),u=o(t._Zs,\"zaxis\");a.meshgrid=[s,l,u],a.gridFill=t._gridFill;var c=t._slen;if(c)a.startingPositions=s8e(o(t._startsX,\"xaxis\"),o(t._startsY,\"yaxis\"),o(t._startsZ,\"zaxis\"));else{for(var f=l[0],h=l8e(s),d=l8e(u),v=new Array(h.length*d.length),x=0,b=0;b<h.length;b++)for(var g=0;g<d.length;g++)v[x++]=[h[b],f,d[g]];a.startingPositions=v}a.colormap=V8t(t),a.tubeSize=t.sizeref,a.maxLength=t.maxdisplayed;var E=o(t._xbnds,\"xaxis\"),k=o(t._ybnds,\"yaxis\"),A=o(t._zbnds,\"zaxis\"),L=eX(s),_=eX(l),C=eX(u),M=[[E[0]-L[0],k[0]-_[0],A[0]-C[0]],[E[1]+L[1],k[1]+_[1],A[1]+C[1]]],p=u8e(a,M),P=H8t(t);p.vertexIntensityBounds=[P.min/t._normMax,P.max/t._normMax];var T=t.lightposition;return p.lightPosition=[T.x,T.y,T.z],p.ambient=t.lighting.ambient,p.diffuse=t.lighting.diffuse,p.specular=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel,p.opacity=t.opacity,t._pad=p.tubeScale*t.sizeref*2,p}tX.update=function(e){this.data=e;var t=h8e(this.scene,e);this.mesh.update(t)};tX.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function G8t(e,t){var r=e.glplot.gl,n=h8e(e,t),i=N8t(r,n),a=new f8e(e,t.uid);return a.mesh=i,a.data=t,i._trace=a,e.glplot.add(i),a}d8e.exports=G8t});var g8e=ye((opr,p8e)=>{\"use strict\";p8e.exports={moduleType:\"trace\",name:\"streamtube\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],attributes:QZ(),supplyDefaults:o8e(),colorbar:{min:\"cmin\",max:\"cmax\"},calc:rz().calc,plot:v8e(),eventData:function(e,t){return e.tubex=e.x,e.tubey=e.y,e.tubez=e.z,e.tubeu=t.traceCoordinate[3],e.tubev=t.traceCoordinate[4],e.tubew=t.traceCoordinate[5],e.norm=t.traceCoordinate[6],e.divergence=t.traceCoordinate[7],delete e.x,delete e.y,delete e.z,e},meta:{}}});var y8e=ye((spr,m8e)=>{\"use strict\";m8e.exports=g8e()});var H2=ye((lpr,b8e)=>{\"use strict\";var 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fi=Bt(Ur),xi=la(),Fi=Bt(xi),Xi=!1,hn,Ti,qi,Ii={point:mi,lineStart:Ma,lineEnd:Ta,polygonStart:function(){Ii.point=Ea,Ii.lineStart=qa,Ii.lineEnd=Cn,Ti=[],hn=[]},polygonEnd:function(){Ii.point=mi,Ii.lineStart=Ma,Ii.lineEnd=Ta,Ti=t.merge(Ti);var sn=oo(hn,vr);Ti.length?(Xi||(Ur.polygonStart(),Xi=!0),jo(Ti,br,sn,wr,Ur)):sn&&(Xi||(Ur.polygonStart(),Xi=!0),Ur.lineStart(),wr(null,null,1,Ur),Ur.lineEnd()),Xi&&(Ur.polygonEnd(),Xi=!1),Ti=hn=null},sphere:function(){Ur.polygonStart(),Ur.lineStart(),wr(null,null,1,Ur),Ur.lineEnd(),Ur.polygonEnd()}};function mi(sn,Ua){gt(sn,Ua)&&Ur.point(sn,Ua)}function Pn(sn,Ua){fi.point(sn,Ua)}function Ma(){Ii.point=Pn,fi.lineStart()}function Ta(){Ii.point=mi,fi.lineEnd()}function Ea(sn,Ua){qi.push([sn,Ua]),Fi.point(sn,Ua)}function qa(){Fi.lineStart(),qi=[]}function Cn(){Ea(qi[0][0],qi[0][1]),Fi.lineEnd();var sn=Fi.clean(),Ua=xi.result(),mo,Xo=Ua.length,Ts,Qo,ys;if(qi.pop(),hn.push(qi),qi=null,!!Xo){if(sn&1){if(Qo=Ua[0],(Ts=Qo.length-1)>0){for(Xi||(Ur.polygonStart(),Xi=!0),Ur.lineStart(),mo=0;mo<Ts;++mo)Ur.point((ys=Qo[mo])[0],ys[1]);Ur.lineEnd()}return}Xo>1&&sn&2&&Ua.push(Ua.pop().concat(Ua.shift())),Ti.push(Ua.filter(_t))}}return Ii}}function _t(gt){return gt.length>1}function br(gt,Bt){return((gt=gt.x)[0]<0?gt[1]-u-o:u-gt[1])-((Bt=Bt.x)[0]<0?Bt[1]-u-o:u-Bt[1])}var Hr=xn(function(){return!0},ti,Yi,[-l,-u]);function ti(gt){var Bt=NaN,wr=NaN,vr=NaN,Ur;return{lineStart:function(){gt.lineStart(),Ur=1},point:function(fi,xi){var Fi=fi>0?l:-l,Xi=v(fi-Bt);v(Xi-l)<o?(gt.point(Bt,wr=(wr+xi)/2>0?u:-u),gt.point(vr,wr),gt.lineEnd(),gt.lineStart(),gt.point(Fi,wr),gt.point(fi,wr),Ur=0):vr!==Fi&&Xi>=l&&(v(Bt-vr)<o&&(Bt-=vr*o),v(fi-Fi)<o&&(fi-=Fi*o),wr=zi(Bt,wr,fi,xi),gt.point(vr,wr),gt.lineEnd(),gt.lineStart(),gt.point(Fi,wr),Ur=0),gt.point(Bt=fi,wr=xi),vr=Fi},lineEnd:function(){gt.lineEnd(),Bt=wr=NaN},clean:function(){return 2-Ur}}}function zi(gt,Bt,wr,vr){var Ur,fi,xi=_(gt-wr);return v(xi)>o?x((_(Bt)*(fi=g(vr))*_(wr)-_(vr)*(Ur=g(Bt))*_(gt))/(Ur*fi*xi)):(Bt+vr)/2}function Yi(gt,Bt,wr,vr){var Ur;if(gt==null)Ur=wr*u,vr.point(-l,Ur),vr.point(0,Ur),vr.point(l,Ur),vr.point(l,0),vr.point(l,-Ur),vr.point(0,-Ur),vr.point(-l,-Ur),vr.point(-l,0),vr.point(-l,Ur);else if(v(gt[0]-Bt[0])>o){var fi=gt[0]<Bt[0]?l:-l;Ur=wr*fi/2,vr.point(-fi,Ur),vr.point(0,Ur),vr.point(fi,Ur)}else vr.point(Bt[0],Bt[1])}function an(gt){var Bt=g(gt),wr=6*d,vr=Bt>0,Ur=v(Bt)>o;function fi(Ti,qi,Ii,mi){Ki(mi,gt,wr,Ii,Ti,qi)}function xi(Ti,qi){return g(Ti)*g(qi)>Bt}function Fi(Ti){var qi,Ii,mi,Pn,Ma;return{lineStart:function(){Pn=mi=!1,Ma=1},point:function(Ta,Ea){var qa=[Ta,Ea],Cn,sn=xi(Ta,Ea),Ua=vr?sn?0:hn(Ta,Ea):sn?hn(Ta+(Ta<0?l:-l),Ea):0;if(!qi&&(Pn=mi=sn)&&Ti.lineStart(),sn!==mi&&(Cn=Xi(qi,qa),(!Cn||Fa(qi,Cn)||Fa(qa,Cn))&&(qa[2]=1)),sn!==mi)Ma=0,sn?(Ti.lineStart(),Cn=Xi(qa,qi),Ti.point(Cn[0],Cn[1])):(Cn=Xi(qi,qa),Ti.point(Cn[0],Cn[1],2),Ti.lineEnd()),qi=Cn;else if(Ur&&qi&&vr^sn){var mo;!(Ua&Ii)&&(mo=Xi(qa,qi,!0))&&(Ma=0,vr?(Ti.lineStart(),Ti.point(mo[0][0],mo[0][1]),Ti.point(mo[1][0],mo[1][1]),Ti.lineEnd()):(Ti.point(mo[1][0],mo[1][1]),Ti.lineEnd(),Ti.lineStart(),Ti.point(mo[0][0],mo[0][1],3)))}sn&&(!qi||!Fa(qi,qa))&&Ti.point(qa[0],qa[1]),qi=qa,mi=sn,Ii=Ua},lineEnd:function(){mi&&Ti.lineEnd(),qi=null},clean:function(){return Ma|(Pn&&mi)<<1}}}function Xi(Ti,qi,Ii){var mi=ce(Ti),Pn=ce(qi),Ma=[1,0,0],Ta=nt(mi,Pn),Ea=Ge(Ta,Ta),qa=Ta[0],Cn=Ea-qa*qa;if(!Cn)return!Ii&&Ti;var sn=Bt*Ea/Cn,Ua=-Bt*qa/Cn,mo=nt(Ma,Ta),Xo=qt(Ma,sn),Ts=qt(Ta,Ua);ct(Xo,Ts);var Qo=mo,ys=Ge(Xo,Qo),Bo=Ge(Qo,Qo),yl=ys*ys-Bo*(Ge(Xo,Xo)-1);if(!(yl<0)){var Gs=M(yl),Rs=qt(Qo,(-ys-Gs)/Bo);if(ct(Rs,Xo),Rs=Re(Rs),!Ii)return Rs;var ia=Ti[0],Ka=qi[0],vs=Ti[1],Ko=qi[1],iu;Ka<ia&&(iu=ia,ia=Ka,Ka=iu);var Ru=Ka-ia,ac=v(Ru-l)<o,mf=ac||Ru<o;if(!ac&&Ko<vs&&(iu=vs,vs=Ko,Ko=iu),mf?ac?vs+Ko>0^Rs[1]<(v(Rs[0]-ia)<o?vs:Ko):vs<=Rs[1]&&Rs[1]<=Ko:Ru>l^(ia<=Rs[0]&&Rs[0]<=Ka)){var bu=qt(Qo,(-ys+Gs)/Bo);return ct(bu,Xo),[Rs,Re(bu)]}}}function hn(Ti,qi){var Ii=vr?gt:l-gt,mi=0;return Ti<-Ii?mi|=1:Ti>Ii&&(mi|=2),qi<-Ii?mi|=4:qi>Ii&&(mi|=8),mi}return xn(xi,Fi,fi,vr?[0,-gt]:[-l,gt-l])}function hi(gt,Bt,wr,vr,Ur,fi){var xi=gt[0],Fi=gt[1],Xi=Bt[0],hn=Bt[1],Ti=0,qi=1,Ii=Xi-xi,mi=hn-Fi,Pn;if(Pn=wr-xi,!(!Ii&&Pn>0)){if(Pn/=Ii,Ii<0){if(Pn<Ti)return;Pn<qi&&(qi=Pn)}else if(Ii>0){if(Pn>qi)return;Pn>Ti&&(Ti=Pn)}if(Pn=Ur-xi,!(!Ii&&Pn<0)){if(Pn/=Ii,Ii<0){if(Pn>qi)return;Pn>Ti&&(Ti=Pn)}else 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Ti=hn,qi=la(),Ii,mi,Pn,Ma,Ta,Ea,qa,Cn,sn,Ua,mo,Xo={point:Ts,lineStart:yl,lineEnd:Gs,polygonStart:ys,polygonEnd:Bo};function Ts(ia,Ka){Ur(ia,Ka)&&Ti.point(ia,Ka)}function Qo(){for(var ia=0,Ka=0,vs=mi.length;Ka<vs;++Ka)for(var Ko=mi[Ka],iu=1,Ru=Ko.length,ac=Ko[0],mf,bu,Kc=ac[0],Du=ac[1];iu<Ru;++iu)mf=Kc,bu=Du,ac=Ko[iu],Kc=ac[0],Du=ac[1],bu<=vr?Du>vr&&(Kc-mf)*(vr-bu)>(Du-bu)*(gt-mf)&&++ia:Du<=vr&&(Kc-mf)*(vr-bu)<(Du-bu)*(gt-mf)&&--ia;return ia}function ys(){Ti=qi,Ii=[],mi=[],mo=!0}function Bo(){var ia=Qo(),Ka=mo&&ia,vs=(Ii=t.merge(Ii)).length;(Ka||vs)&&(hn.polygonStart(),Ka&&(hn.lineStart(),fi(null,null,1,hn),hn.lineEnd()),vs&&jo(Ii,Fi,ia,fi,hn),hn.polygonEnd()),Ti=hn,Ii=mi=Pn=null}function yl(){Xo.point=Rs,mi&&mi.push(Pn=[]),Ua=!0,sn=!1,qa=Cn=NaN}function Gs(){Ii&&(Rs(Ma,Ta),Ea&&sn&&qi.rejoin(),Ii.push(qi.result())),Xo.point=Ts,sn&&Ti.lineEnd()}function Rs(ia,Ka){var vs=Ur(ia,Ka);if(mi&&Pn.push([ia,Ka]),Ua)Ma=ia,Ta=Ka,Ea=vs,Ua=!1,vs&&(Ti.lineStart(),Ti.point(ia,Ka));else 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Pe=v(he),Oe=v(be),Je=o(be),He=o(he)*Je,et=x(he)*Je,Mt=x(Oe*be);he=n(a(et,Mt)),be=q(He),n(he-A)>g&&(he%=A);var Dt=Ji(he>k/4?A-he:he,be);return he>k/4&&(Mt=Dt[0],Dt[0]=-Dt[1],Dt[1]=-Mt),Dt[0]*=Pe,Dt[1]*=-Oe,Dt}hi.invert=function(he,be){n(he)>1&&(he=v(he)*2-he),n(be)>1&&(be=v(be)*2-be);var Pe=v(he),Oe=v(be),Je=-Pe*he,He=-Oe*be,et=He/Je<1,Mt=ua(et?He:Je,et?Je:He),Dt=Mt[0],Ut=Mt[1],tr=o(Ut);return et&&(Dt=-A-Dt),[Pe*(a(x(Dt)*tr,-x(Ut))+k),Oe*q(o(Dt)*tr)]};function Ji(he,be){if(be===A)return[0,0];var Pe=x(be),Oe=Pe*Pe,Je=Oe*Oe,He=1+Je,et=1+3*Je,Mt=1-Je,Dt=q(1/H(He)),Ut=Mt+Oe*He*Dt,tr=(1-Pe)/Ut,mr=H(tr),Rr=tr*He,zr=H(Rr),Xr=mr*Mt,di,Li;if(he===0)return[0,-(Xr+Oe*zr)];var Ci=o(be),Qi=1/Ci,Mn=2*Pe*Ci,pa=(-3*Oe+Dt*et)*Mn,ea=(-Ut*Ci-(1-Pe)*pa)/(Ut*Ut),Ga=.5*ea/mr,To=Mt*Ga-2*Oe*mr*Mn,Wa=Oe*He*ea+tr*et*Mn,co=-Qi*Mn,Ro=-Qi*Wa,Ds=-2*Qi*To,As=4*he/k,yo;if(he>.222*k||be<k/4&&he>.175*k){if(di=(Xr+Oe*H(Rr*(1+Je)-Xr*Xr))/(1+Je),he>k/4)return[di,di];var po=di,_l=.5*di;di=.5*(_l+po),Li=50;do{var 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et=1/x(Oe),Mt=1/(b(Oe)*b(Oe)),Dt=-(Mt+Pe*(He*He*et*et)-1+Pe),Ut=(Pe-1)*Mt,tr=(-Dt+H(Dt*Dt-4*Ut))/2;return[ho(i(1/H(tr)),Pe)*v(he),ho(i(H((tr/Mt-1)/Pe)),1-Pe)*v(be)]}return[0,ho(i(He),1-Pe)*v(be)]}function ho(he,be){if(!be)return he;if(be===1)return u(b(he/2+L));for(var Pe=1,Oe=H(1-be),Je=H(be),He=0;n(Je)>g;He++){if(he%k){var et=i(Oe*b(he)/Pe);et<0&&(et+=k),he+=et+~~(he/k)*k}else he+=he;Je=(Pe+Oe)/2,Oe=H(Pe*Oe),Je=((Pe=Je)-Oe)/2}return he/(h(2,He)*Pe)}function Mo(he,be){var Pe=(C-1)/(C+1),Oe=H(1-Pe*Pe),Je=ho(A,Oe*Oe),He=-1,et=u(b(k/4+n(be)/2)),Mt=s(He*et)/H(Pe),Dt=xo(Mt*o(He*he),Mt*x(He*he)),Ut=Oo(Dt[0],Dt[1],Oe*Oe);return[-Ut[1],(be>=0?1:-1)*(.5*Je-Ut[0])]}function xo(he,be){var Pe=he*he,Oe=be+1,Je=1-Pe-be*be;return[.5*((he>=0?A:-A)-a(Je,2*he)),-.25*u(Je*Je+4*Pe)+.5*u(Oe*Oe+Pe)]}function zs(he,be){var Pe=be[0]*be[0]+be[1]*be[1];return[(he[0]*be[0]+he[1]*be[1])/Pe,(he[1]*be[0]-he[0]*be[1])/Pe]}Mo.invert=function(he,be){var Pe=(C-1)/(C+1),Oe=H(1-Pe*Pe),Je=ho(A,Oe*Oe),He=-1,et=Sa(.5*Je-be,-he,Oe*Oe),Mt=zs(et[0],et[1]),Dt=a(Mt[1],Mt[0])/He;return[Dt,2*i(s(.5/He*u(Pe*Mt[0]*Mt[0]+Pe*Mt[1]*Mt[1])))-A]};function ks(){return t.geoProjection(an(Mo)).scale(151.496)}function Zs(he){var be=x(he),Pe=o(he),Oe=Xs(he);Oe.invert=Xs(-he);function Je(He,et){var Mt=Oe(He,et);He=Mt[0],et=Mt[1];var Dt=x(et),Ut=o(et),tr=o(He),mr=V(be*Dt+Pe*Ut*tr),Rr=x(mr),zr=n(Rr)>g?mr/Rr:1;return[zr*Pe*x(He),(n(He)>A?zr:-zr)*(be*Ut-Pe*Dt*tr)]}return Je.invert=function(He,et){var Mt=H(He*He+et*et),Dt=-x(Mt),Ut=o(Mt),tr=Mt*Ut,mr=-et*Dt,Rr=Mt*be,zr=H(tr*tr+mr*mr-Rr*Rr),Xr=a(tr*Rr+mr*zr,mr*Rr-tr*zr),di=(Mt>A?-1:1)*a(He*Dt,Mt*o(Xr)*Ut+et*x(Xr)*Dt);return Oe.invert(di,Xr)},Je}function Xs(he){var be=x(he),Pe=o(he);return function(Oe,Je){var He=o(Je),et=o(Oe)*He,Mt=x(Oe)*He,Dt=x(Je);return[a(Mt,et*Pe-Dt*be),q(Dt*Pe+et*be)]}}function wl(){var he=0,be=t.geoProjectionMutator(Zs),Pe=be(he),Oe=Pe.rotate,Je=Pe.stream,He=t.geoCircle();return Pe.parallel=function(et){if(!arguments.length)return he*P;var Mt=Pe.rotate();return be(he=et*T).rotate(Mt)},Pe.rotate=function(et){return arguments.length?(Oe.call(Pe,[et[0],et[1]-he*P]),He.center([-et[0],-et[1]]),Pe):(et=Oe.call(Pe),et[1]+=he*P,et)},Pe.stream=function(et){return et=Je(et),et.sphere=function(){et.polygonStart();var Mt=.01,Dt=He.radius(90-Mt)().coordinates[0],Ut=Dt.length-1,tr=-1,mr;for(et.lineStart();++tr<Ut;)et.point((mr=Dt[tr])[0],mr[1]);for(et.lineEnd(),Dt=He.radius(90+Mt)().coordinates[0],Ut=Dt.length-1,et.lineStart();--tr>=0;)et.point((mr=Dt[tr])[0],mr[1]);et.lineEnd(),et.polygonEnd()},et},Pe.scale(79.4187).parallel(45).clipAngle(180-.001)}var os=3,cl=q(1-1/os)*P,Cs=ar(0);function ml(he){var be=cl*T,Pe=ht(k,be)[0]-ht(-k,be)[0],Oe=Cs(0,be)[1],Je=ht(0,be)[1],He=M-Je,et=p/he,Mt=4/p,Dt=Oe+He*He*4/p;function Ut(tr,mr){var Rr,zr=n(mr);if(zr>be){var Xr=f(he-1,c(0,l((tr+k)/et)));tr+=k*(he-1)/he-Xr*et,Rr=ht(tr,zr),Rr[0]=Rr[0]*p/Pe-p*(he-1)/(2*he)+Xr*p/he,Rr[1]=Oe+(Rr[1]-Je)*4*He/p,mr<0&&(Rr[1]=-Rr[1])}else Rr=Cs(tr,mr);return Rr[0]*=Mt,Rr[1]/=Dt,Rr}return Ut.invert=function(tr,mr){tr/=Mt,mr*=Dt;var Rr=n(mr);if(Rr>Oe){var zr=f(he-1,c(0,l((tr+k)/et)));tr=(tr+k*(he-1)/he-zr*et)*Pe/p;var Xr=ht.invert(tr,.25*(Rr-Oe)*p/He+Je);return Xr[0]-=k*(he-1)/he-zr*et,mr<0&&(Xr[1]=-Xr[1]),Xr}return Cs.invert(tr,mr)},Ut}function Ys(he,be){return[he,be&1?90-g:cl]}function Hs(he,be){return[he,be&1?-90+g:-cl]}function Eo(he){return[he[0]*(1-g),he[1]]}function fs(he){var be=[].concat(r.range(-180,180+he/2,he).map(Ys),r.range(180,-180-he/2,-he).map(Hs));return{type:\"Polygon\",coordinates:[he===180?be.map(Eo):be]}}function $l(){var he=4,be=t.geoProjectionMutator(ml),Pe=be(he),Oe=Pe.stream;return Pe.lobes=function(Je){return arguments.length?be(he=+Je):he},Pe.stream=function(Je){var He=Pe.rotate(),et=Oe(Je),Mt=(Pe.rotate([0,0]),Oe(Je));return 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SRe=ye((Epr,ARe)=>{\"use strict\";var Zh=xa(),bX=Mr(),bDt=ba(),X5=Math.PI/180,G2=180/Math.PI,TX={cursor:\"pointer\"},AX={cursor:\"auto\"};function wDt(e,t){var r=e.projection,n;return t._isScoped?n=TDt:t._isClipped?n=SDt:n=ADt,n(e,r)}ARe.exports=wDt;function SX(e,t){return Zh.behavior.zoom().translate(t.translate()).scale(t.scale())}function MX(e,t,r){var n=e.id,i=e.graphDiv,a=i.layout,o=a[n],s=i._fullLayout,l=s[n],u={},c={};function f(h,d){u[n+\".\"+h]=bX.nestedProperty(o,h).get(),bDt.call(\"_storeDirectGUIEdit\",a,s._preGUI,u);var v=bX.nestedProperty(l,h);v.get()!==d&&(v.set(d),bX.nestedProperty(o,h).set(d),c[n+\".\"+h]=d)}r(f),f(\"projection.scale\",t.scale()/e.fitScale),f(\"fitbounds\",!1),i.emit(\"plotly_relayout\",c)}function TDt(e,t){var r=SX(e,t);function n(){Zh.select(this).style(TX)}function i(){t.scale(Zh.event.scale).translate(Zh.event.translate),e.render(!0);var 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t1=xa(),CX=xX(),DDt=CX.geoPath,zDt=CX.geoDistance,FDt=xRe(),qDt=ba(),QE=Mr(),ODt=QE.strTranslate,Mz=va(),$E=ao(),MRe=Nc(),BDt=Xu(),kX=Qa(),ERe=wg().getAutoRange,EX=gv(),NDt=wf().prepSelect,UDt=wf().clearOutline,VDt=wf().selectOnClick,HDt=SRe(),fp=XE(),GDt=ix(),CRe=cz(),jDt=aX().feature;function LRe(e){this.id=e.id,this.graphDiv=e.graphDiv,this.container=e.container,this.topojsonURL=e.topojsonURL,this.isStatic=e.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var $g=LRe.prototype;PRe.exports=function(t){return new LRe(t)};$g.plot=function(e,t,r,n){var i=this;if(n)return i.update(e,t,!0);i._geoCalcData=e,i._fullLayout=t;var a=t[this.id],o=[],s=!1;for(var l in 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r=this.graphDiv,n=t[this.id],i=t._size,a=n.domain,o=n.projection,s=n.lonaxis,l=n.lataxis,u=s._ax,c=l._ax,f=this.projection=WDt(n),h=[[i.l+i.w*a.x[0],i.t+i.h*(1-a.y[1])],[i.l+i.w*a.x[1],i.t+i.h*(1-a.y[0])]],d=n.center||{},v=o.rotation||{},x=s.range||[],b=l.range||[];if(n.fitbounds){u._length=h[1][0]-h[0][0],c._length=h[1][1]-h[0][1],u.range=ERe(r,u),c.range=ERe(r,c);var g=(u.range[0]+u.range[1])/2,E=(c.range[0]+c.range[1])/2;if(n._isScoped)d={lon:g,lat:E};else if(n._isClipped){d={lon:g,lat:E},v={lon:g,lat:E,roll:v.roll};var k=o.type,A=fp.lonaxisSpan[k]/2||180,L=fp.lataxisSpan[k]/2||90;x=[g-A,g+A],b=[E-L,E+L]}else d={lon:g,lat:E},v={lon:g,lat:v.lat,roll:v.roll}}f.center([d.lon-v.lon,d.lat-v.lat]).rotate([-v.lon,-v.lat,v.roll]).parallels(o.parallels);var _=kRe(x,b);f.fitExtent(h,_);var C=this.bounds=f.getBounds(_),M=this.fitScale=f.scale(),p=f.translate();if(n.fitbounds){var P=f.getBounds(kRe(u.range,c.range)),T=Math.min((C[1][0]-C[0][0])/(P[1][0]-P[0][0]),(C[1][1]-C[0][1])/(P[1][1]-P[0][1]));isFinite(T)?f.scale(T*M):QE.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else f.scale(o.scale*M);var F=this.midPt=[(C[0][0]+C[1][0])/2,(C[0][1]+C[1][1])/2];if(f.translate([p[0]+(F[0]-p[0]),p[1]+(F[1]-p[1])]).clipExtent(C),n._isAlbersUsa){var q=f([d.lon,d.lat]),V=f.translate();f.translate([V[0]-(q[0]-V[0]),V[1]-(q[1]-V[1])])}};$g.updateBaseLayers=function(e,t){var r=this,n=r.topojson,i=r.layers,a=r.basePaths;function o(h){return h===\"lonaxis\"||h===\"lataxis\"}function s(h){return!!fp.lineLayers[h]}function l(h){return!!fp.fillLayers[h]}var u=this.hasChoropleth?fp.layersForChoropleth:fp.layers,c=u.filter(function(h){return s(h)||l(h)?t[\"show\"+h]:o(h)?t[h].showgrid:!0}),f=r.framework.selectAll(\".layer\").data(c,String);f.exit().each(function(h){delete i[h],delete 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r=this.bounds,n=(t.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;$E.setRect(this.clipRect,i,a,o,s),this.bgRect.call($E.setRect,i,a,o,s).call(Mz.fill,t.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s};$g.updateFx=function(e,t){var r=this,n=r.graphDiv,i=r.bgRect,a=e.dragmode,o=e.clickmode;if(r.isStatic)return;function s(){var f=r.viewInitial,h={};for(var d in f)h[r.id+\".\"+d]=f[d];qDt.call(\"_guiRelayout\",n,h),n.emit(\"plotly_doubleclick\",null)}function l(f){return r.projection.invert([f[0]+r.xaxis._offset,f[1]+r.yaxis._offset])}var u=function(f,h){if(h.isRect){var d=f.range={};d[r.id]=[l([h.xmin,h.ymin]),l([h.xmax,h.ymax])]}else{var v=f.lassoPoints={};v[r.id]=h.map(l)}},c={element:r.bgRect.node(),gd:n,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(f){f===2&&UDt(n)}};a===\"pan\"?(i.node().onmousedown=null,i.call(HDt(r,t)),i.on(\"dblclick.zoom\",s),n._context._scrollZoom.geo||i.on(\"wheel.zoom\",null)):(a===\"select\"||a===\"lasso\")&&(i.on(\".zoom\",null),c.prepFn=function(f,h,d){NDt(f,h,d,c,a)},EX.init(c)),i.on(\"mousemove\",function(){var f=r.projection.invert(QE.getPositionFromD3Event());if(!f)return EX.unhover(n,t1.event);r.xaxis.p2c=function(){return f[0]},r.yaxis.p2c=function(){return f[1]},MRe.hover(n,t1.event,r.id)}),i.on(\"mouseout\",function(){n._dragging||EX.unhover(n,t1.event)}),i.on(\"click\",function(){a!==\"select\"&&a!==\"lasso\"&&(o.indexOf(\"select\")>-1&&VDt(t1.event,n,[r.xaxis],[r.yaxis],r.id,c),o.indexOf(\"event\")>-1&&MRe.click(n,t1.event))})};$g.makeFramework=function(){var e=this,t=e.graphDiv,r=t._fullLayout,n=\"clip\"+r._uid+e.id;e.clipDef=r._clips.append(\"clipPath\").attr(\"id\",n),e.clipRect=e.clipDef.append(\"rect\"),e.framework=t1.select(e.container).append(\"g\").attr(\"class\",\"geo \"+e.id).call($E.setClipUrl,n,t),e.project=function(i){var a=e.projection(i);return a?[a[0]-e.xaxis._offset,a[1]-e.yaxis._offset]:[null,null]},e.xaxis={_id:\"x\",c2p:function(i){return e.project(i)[0]}},e.yaxis={_id:\"y\",c2p:function(i){return e.project(i)[1]}},e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},kX.setConvert(e.mockAxis,r)};$g.saveViewInitial=function(e){var t=e.center||{},r=e.projection,n=r.rotation||{};this.viewInitial={fitbounds:e.fitbounds,\"projection.scale\":r.scale};var i;e._isScoped?i={\"center.lon\":t.lon,\"center.lat\":t.lat}:e._isClipped?i={\"projection.rotation.lon\":n.lon,\"projection.rotation.lat\":n.lat}:i={\"center.lon\":t.lon,\"center.lat\":t.lat,\"projection.rotation.lon\":n.lon},QE.extendFlat(this.viewInitial,i)};$g.render=function(e){this._hasMarkerAngles&&e?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()};$g._render=function(){var e=this.projection,t=e.getPath(),r;function n(a){var o=e(a.lonlat);return o?ODt(o[0],o[1]):null}function i(a){return e.isLonLatOverEdges(a.lonlat)?\"none\":null}for(r in this.basePaths)this.basePaths[r].attr(\"d\",t);for(r in this.dataPaths)this.dataPaths[r].attr(\"d\",function(a){return t(a.geojson)});for(r in this.dataPoints)this.dataPoints[r].attr(\"display\",i).attr(\"transform\",n)};function WDt(e){var t=e.projection,r=t.type,n=fp.projNames[r];n=\"geo\"+QE.titleCase(n);for(var i=CX[n]||FDt[n],a=i(),o=e._isSatellite?Math.acos(1/t.distance)*180/Math.PI:e._isClipped?fp.lonaxisSpan[r]/2:null,s=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],l=function(f){return f?a:[]},u=0;u<s.length;u++){var c=s[u];typeof a[c]!=\"function\"&&(a[c]=l)}return a.isLonLatOverEdges=function(f){if(a(f)===null)return!0;if(o){var h=a.rotate(),d=zDt(f,[-h[0],-h[1]]),v=o*Math.PI/180;return d>v}else return!1},a.getPath=function(){return DDt().projection(a)},a.getBounds=function(f){return a.getPath().bounds(f)},a.precision(fp.precision),e._isSatellite&&a.tilt(t.tilt).distance(t.distance),o&&a.clipAngle(o-fp.clipPad),a}function ZDt(e,t,r){var n=1e-6,i=2.5,a=t[e],o=fp.scopeDefaults[t.scope],s,l,u;e===\"lonaxis\"?(s=o.lonaxisRange,l=o.lataxisRange,u=function(E,k){return[E,k]}):e===\"lataxis\"&&(s=o.lataxisRange,l=o.lonaxisRange,u=function(E,k){return[k,E]});var c={type:\"linear\",range:[s[0],s[1]-n],tick0:a.tick0,dtick:a.dtick};kX.setConvert(c,r);var f=kX.calcTicks(c);!t.isScoped&&e===\"lonaxis\"&&f.pop();for(var h=f.length,d=new Array(h),v=0;v<h;v++)for(var x=f[v].x,b=d[v]=[],g=l[0];g<l[1]+i;g+=i)b.push(u(x,g));return{type:\"MultiLineString\",coordinates:d}}function kRe(e,t){var r=fp.clipPad,n=e[0]+r,i=e[1]-r,a=t[0]+r,o=t[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}});var LX=ye((Cpr,zRe)=>{\"use strict\";var K5=dh(),XDt=Ju().attributes,YDt=Ed().dash,Y5=XE(),KDt=Bu().overrideAll,RRe=X1(),DRe={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:K5.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:YDt},JDt=zRe.exports=KDt({domain:XDt({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:RRe(Y5.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:RRe(Y5.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:K5.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:Y5.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:Y5.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:Y5.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:Y5.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:K5.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:K5.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:K5.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:K5.background},lonaxis:DRe,lataxis:DRe},\"plot\",\"from-root\");JDt.uirevision={valType:\"any\",editType:\"none\"}});var ORe=ye((Lpr,qRe)=>{\"use strict\";var Ez=Mr(),$Dt=k_(),QDt=kd().getSubplotData,kz=XE(),ezt=LX(),FRe=kz.axesNames;qRe.exports=function(t,r,n){$Dt(t,r,n,{type:\"geo\",attributes:ezt,handleDefaults:tzt,fullData:n,partition:\"y\"})};function tzt(e,t,r,n){var i=QDt(n.fullData,\"geo\",n.id),a=i.map(function(ae){return ae.index}),o=r(\"resolution\"),s=r(\"scope\"),l=kz.scopeDefaults[s],u=r(\"projection.type\",l.projType),c=t._isAlbersUsa=u===\"albers usa\";c&&(s=t.scope=\"usa\");var f=t._isScoped=s!==\"world\",h=t._isSatellite=u===\"satellite\",d=t._isConic=u.indexOf(\"conic\")!==-1||u===\"albers\",v=t._isClipped=!!kz.lonaxisSpan[u];if(e.visible===!1){var x=Ez.extendDeep({},t._template);x.showcoastlines=!1,x.showcountries=!1,x.showframe=!1,x.showlakes=!1,x.showland=!1,x.showocean=!1,x.showrivers=!1,x.showsubunits=!1,x.lonaxis&&(x.lonaxis.showgrid=!1),x.lataxis&&(x.lataxis.showgrid=!1),t._template=x}for(var b=r(\"visible\"),g,E=0;E<FRe.length;E++){var k=FRe[E],A=[30,10][E],L;if(f)L=l[k+\"Range\"];else{var _=kz[k+\"Span\"],C=(_[u]||_[\"*\"])/2,M=r(\"projection.rotation.\"+k.substr(0,3),l.projRotate[E]);L=[M-C,M+C]}var p=r(k+\".range\",L);r(k+\".tick0\"),r(k+\".dtick\",A),g=r(k+\".showgrid\",b?void 0:!1),g&&(r(k+\".gridcolor\"),r(k+\".gridwidth\"),r(k+\".griddash\")),t[k]._ax={type:\"linear\",_id:k.slice(0,3),_traceIndices:a,setScale:Ez.identity,c2l:Ez.identity,r2l:Ez.identity,autorange:!0,range:p.slice(),_m:1,_input:{}}}var P=t.lonaxis.range,T=t.lataxis.range,F=P[0],q=P[1];F>0&&q<0&&(q+=360);var V=(F+q)/2,H;if(!c){var X=f?l.projRotate:[V,0,0];H=r(\"projection.rotation.lon\",X[0]),r(\"projection.rotation.lat\",X[1]),r(\"projection.rotation.roll\",X[2]),g=r(\"showcoastlines\",!f&&b),g&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),g=r(\"showocean\",b?void 0:!1),g&&r(\"oceancolor\")}var G,N;if(c?(G=-96.6,N=38.7):(G=f?V:H,N=(T[0]+T[1])/2),r(\"center.lon\",G),r(\"center.lat\",N),h&&(r(\"projection.tilt\"),r(\"projection.distance\")),d){var W=l.projParallels||[0,60];r(\"projection.parallels\",W)}r(\"projection.scale\"),g=r(\"showland\",b?void 0:!1),g&&r(\"landcolor\"),g=r(\"showlakes\",b?void 0:!1),g&&r(\"lakecolor\"),g=r(\"showrivers\",b?void 0:!1),g&&(r(\"rivercolor\"),r(\"riverwidth\")),g=r(\"showcountries\",f&&s!==\"usa\"&&b),g&&(r(\"countrycolor\"),r(\"countrywidth\")),(s===\"usa\"||s===\"north america\"&&o===50)&&(r(\"showsubunits\",b),r(\"subunitcolor\"),r(\"subunitwidth\")),f||(g=r(\"showframe\",b),g&&(r(\"framecolor\"),r(\"framewidth\"))),r(\"bgcolor\");var re=r(\"fitbounds\");re&&(delete t.projection.scale,f?(delete t.center.lon,delete t.center.lat):v?(delete t.center.lon,delete t.center.lat,delete t.projection.rotation.lon,delete t.projection.rotation.lat,delete t.lonaxis.range,delete t.lataxis.range):(delete t.center.lon,delete t.center.lat,delete 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lzt=Wo().hovertemplateAttrs,ax=H2(),uzt=Kl(),WRe=vl(),czt=dh().defaultLine,nx=no().extendFlat,ZRe=ax.marker.line;XRe.exports=nx({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:ax.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:nx({},ax.geojson,{}),featureidkey:ax.featureidkey,text:nx({},ax.text,{}),hovertext:nx({},ax.hovertext,{}),marker:{line:{color:nx({},ZRe.color,{dflt:czt}),width:nx({},ZRe.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:ax.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:ax.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:nx({},WRe.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:lzt(),showlegend:nx({},WRe.showlegend,{dflt:!1})},uzt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var KRe=ye((zpr,YRe)=>{\"use 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v[b].length||f.draw(b);h[b]&&n.textOptions[b]&&h[b].render()}d&&d.draw(v),n.dirty=!1},n.destroy=function(){n.fill2d&&n.fill2d.destroy&&n.fill2d.destroy(),n.scatter2d&&n.scatter2d.destroy&&n.scatter2d.destroy(),n.error2d&&n.error2d.destroy&&n.error2d.destroy(),n.line2d&&n.line2d.destroy&&n.line2d.destroy(),n.select2d&&n.select2d.destroy&&n.select2d.destroy(),n.glText&&n.glText.forEach(function(s){s.destroy&&s.destroy()}),n.lineOptions=null,n.fillOptions=null,n.markerOptions=null,n.markerSelectedOptions=null,n.markerUnselectedOptions=null,n.errorXOptions=null,n.errorYOptions=null,n.textOptions=null,n.textSelectedOptions=null,n.textUnselectedOptions=null,n.selectBatch=null,n.unselectBatch=null,r._scene=null}),n.dirty||jz.extendFlat(n,i),n}});var Fze=ye((g0r,zze)=>{\"use strict\";var XFt=Oz(),nA=Mr(),Pze=af(),YFt=wg().findExtremes,Ize=Rg(),XX=q0(),KFt=XX.calcMarkerSize,JFt=XX.calcAxisExpansion,$Ft=XX.setFirstScatter,QFt=z0(),aA=Y2(),e7t=ZX(),Rze=es().BADNUM,t7t=ox().TOO_MANY_POINTS;zze.exports=function(t,r){var n=t._fullLayout,i=r._xA=Pze.getFromId(t,r.xaxis,\"x\"),a=r._yA=Pze.getFromId(t,r.yaxis,\"y\"),o=n._plots[r.xaxis+r.yaxis],s=r._length,l=s>=t7t,u=s*2,c={},f,h=i.makeCalcdata(r,\"x\"),d=a.makeCalcdata(r,\"y\"),v=Ize(r,i,\"x\",h),x=Ize(r,a,\"y\",d),b=v.vals,g=x.vals;r._x=b,r._y=g,r.xperiodalignment&&(r._origX=h,r._xStarts=v.starts,r._xEnds=v.ends),r.yperiodalignment&&(r._origY=d,r._yStarts=x.starts,r._yEnds=x.ends);var E=new Array(u),k=new Array(s);for(f=0;f<s;f++)E[f*2]=b[f]===Rze?NaN:b[f],E[f*2+1]=g[f]===Rze?NaN:g[f],k[f]=f;if(i.type===\"log\")for(f=0;f<u;f+=2)E[f]=i.c2l(E[f]);if(a.type===\"log\")for(f=1;f<u;f+=2)E[f]=a.c2l(E[f]);l&&i.type!==\"log\"&&a.type!==\"log\"?c.tree=XFt(E):c.ids=k,QFt(t,r);var A=r7t(t,o,r,E,b,g),L=e7t(t,o);$Ft(n,r);var _;return l?A.marker&&(_=A.marker.sizeAvg||Math.max(A.marker.size,3)):_=KFt(r,s),JFt(t,r,i,a,b,g,_),A.errorX&&Dze(r,i,A.errorX),A.errorY&&Dze(r,a,A.errorY),A.fill&&!L.fill2d&&(L.fill2d=!0),A.marker&&!L.scatter2d&&(L.scatter2d=!0),A.line&&!L.line2d&&(L.line2d=!0),(A.errorX||A.errorY)&&!L.error2d&&(L.error2d=!0),A.text&&!L.glText&&(L.glText=!0),A.marker&&(A.marker.snap=s),L.lineOptions.push(A.line),L.errorXOptions.push(A.errorX),L.errorYOptions.push(A.errorY),L.fillOptions.push(A.fill),L.markerOptions.push(A.marker),L.markerSelectedOptions.push(A.markerSel),L.markerUnselectedOptions.push(A.markerUnsel),L.textOptions.push(A.text),L.textSelectedOptions.push(A.textSel),L.textUnselectedOptions.push(A.textUnsel),L.selectBatch.push([]),L.unselectBatch.push([]),c._scene=L,c.index=L.count,c.x=b,c.y=g,c.positions=E,L.count++,[{x:!1,y:!1,t:c,trace:r}]};function Dze(e,t,r){var n=e._extremes[t._id],i=YFt(t,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}function r7t(e,t,r,n,i,a){var o=aA.style(e,r);if(o.marker&&(o.marker.positions=n),o.line&&n.length>1&&nA.extendFlat(o.line,aA.linePositions(e,r,n)),o.errorX||o.errorY){var s=aA.errorBarPositions(e,r,n,i,a);o.errorX&&nA.extendFlat(o.errorX,s.x),o.errorY&&nA.extendFlat(o.errorY,s.y)}return o.text&&(nA.extendFlat(o.text,{positions:n},aA.textPosition(e,r,o.text,o.marker)),nA.extendFlat(o.textSel,{positions:n},aA.textPosition(e,r,o.text,o.markerSel)),nA.extendFlat(o.textUnsel,{positions:n},aA.textPosition(e,r,o.text,o.markerUnsel))),o}});var YX=ye((m0r,Oze)=>{\"use strict\";var qze=Mr(),i7t=va(),n7t=N1().DESELECTDIM;function a7t(e){var t=e[0],r=t.trace,n=t.t,i=n._scene,a=n.index,o=i.selectBatch[a],s=i.unselectBatch[a],l=i.textOptions[a],u=i.textSelectedOptions[a]||{},c=i.textUnselectedOptions[a]||{},f=qze.extendFlat({},l),h,d;if(o.length||s.length){var v=u.color,x=c.color,b=l.color,g=qze.isArrayOrTypedArray(b);for(f.color=new Array(r._length),h=0;h<o.length;h++)d=o[h],f.color[d]=v||(g?b[d]:b);for(h=0;h<s.length;h++){d=s[h];var E=g?b[d]:b;f.color[d]=x||(v?E:i7t.addOpacity(E,n7t))}}i.glText[a].update(f)}Oze.exports={styleTextSelection:a7t}});var KX=ye((y0r,Nze)=>{\"use strict\";var Bze=lu(),o7t=YX().styleTextSelection;Nze.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l=n[0].t,u=s._length,c=l.x,f=l.y,h=l._scene,d=l.index;if(!h)return o;var v=Bze.hasText(s),x=Bze.hasMarkers(s),b=!x&&!v;if(s.visible!==!0||b)return o;var g=[],E=[];if(r!==!1&&!r.degenerate)for(var k=0;k<u;k++)r.contains([l.xpx[k],l.ypx[k]],!1,k,t)?(g.push(k),o.push({pointNumber:k,x:i.c2d(c[k]),y:a.c2d(f[k])})):E.push(k);if(x){var A=h.scatter2d;if(!g.length&&!E.length){var L=new Array(h.count);L[d]=h.markerOptions[d],A.update.apply(A,L)}else if(!h.selectBatch[d].length&&!h.unselectBatch[d].length){var _=new Array(h.count);_[d]=h.markerUnselectedOptions[d],A.update.apply(A,_)}}return h.selectBatch[d]=g,h.unselectBatch[d]=E,v&&o7t(n),o}});var Vze=ye((_0r,Uze)=>{\"use strict\";var s7t=zz();Uze.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:Jf(),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:ek(),supplyDefaults:TDe(),crossTraceDefaults:$N(),colorbar:Kd(),formatLabels:SDe(),calc:Fze(),hoverPoints:s7t.hoverPoints,selectPoints:KX(),meta:{}}});var Gze=ye((x0r,Zz)=>{\"use strict\";var Wz=O5();Zz.exports=Hze;Zz.exports.to=Hze;Zz.exports.from=l7t;function Hze(e,t){t==null&&(t=!0);var r=e[0],n=e[1],i=e[2],a=e[3];a==null&&(a=t?1:255),t&&(r*=255,n*=255,i*=255,a*=255),r=Wz(r,0,255)&255,n=Wz(n,0,255)&255,i=Wz(i,0,255)&255,a=Wz(a,0,255)&255;var o=r*16777216+(n<<16)+(i<<8)+a;return o}function l7t(e,t){e=+e;var r=e>>>24,n=(e&16711680)>>>16,i=(e&65280)>>>8,a=e&255;return t===!1?[r,n,i,a]:[r/255,n/255,i/255,a/255]}});var bh=ye((b0r,Wze)=>{\"use strict\";var jze=Object.getOwnPropertySymbols,u7t=Object.prototype.hasOwnProperty,c7t=Object.prototype.propertyIsEnumerable;function f7t(e){if(e==null)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(e)}function h7t(){try{if(!Object.assign)return!1;var e=new String(\"abc\");if(e[5]=\"de\",Object.getOwnPropertyNames(e)[0]===\"5\")return!1;for(var t={},r=0;r<10;r++)t[\"_\"+String.fromCharCode(r)]=r;var n=Object.getOwnPropertyNames(t).map(function(a){return t[a]});if(n.join(\"\")!==\"0123456789\")return!1;var i={};return\"abcdefghijklmnopqrst\".split(\"\").forEach(function(a){i[a]=a}),Object.keys(Object.assign({},i)).join(\"\")===\"abcdefghijklmnopqrst\"}catch(a){return!1}}Wze.exports=h7t()?Object.assign:function(e,t){for(var r,n=f7t(e),i,a=1;a<arguments.length;a++){r=Object(arguments[a]);for(var o in r)u7t.call(r,o)&&(n[o]=r[o]);if(jze){i=jze(r);for(var s=0;s<i.length;s++)c7t.call(r,i[s])&&(n[i[s]]=r[i[s]])}}return n}});var Xze=ye((w0r,Zze)=>{Zze.exports=function(e){typeof e==\"string\"&&(e=[e]);for(var t=[].slice.call(arguments,1),r=[],n=0;n<e.length-1;n++)r.push(e[n],t[n]||\"\");return r.push(e[n]),r.join(\"\")}});var JX=ye((T0r,Yze)=>{\"use strict\";Yze.exports=function(t,r,n){Array.isArray(n)||(n=[].slice.call(arguments,2));for(var i=0,a=n.length;i<a;i++){var o=n[i];for(var s in o)if(!(r[s]!==void 0&&!Array.isArray(r[s])&&t[s]===r[s])&&s in r){var l;if(o[s]===!0)l=r[s];else{if(o[s]===!1)continue;if(typeof o[s]==\"function\"&&(l=o[s](r[s],t,r),l===void 0))continue}t[s]=l}}return t}});var Jze=ye((A0r,Kze)=>{\"use strict\";Kze.exports=typeof navigator!=\"undefined\"&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))});var Xz=ye((S0r,oA)=>{\"use strict\";oA.exports=ak;oA.exports.float32=oA.exports.float=ak;oA.exports.fract32=oA.exports.fract=d7t;var $ze=new Float32Array(1);function d7t(e,t){if(e.length){if(e instanceof Float32Array)return new Float32Array(e.length);t instanceof 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e==\"string\")return $X(e,t);var r=Object.prototype.toString.call(e).slice(8,-1);if(r===\"Object\"&&e.constructor&&(r=e.constructor.name),r===\"Map\"||r===\"Set\")return Array.from(e);if(r===\"Arguments\"||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r))return $X(e,t)}}function $X(e,t){(t==null||t>e.length)&&(t=e.length);for(var r=0,n=new Array(t);r<t;r++)n[r]=e[r];return n}function x7t(){throw new TypeError(`Invalid attempt to spread non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}function b7t(){throw new TypeError(`Invalid attempt to destructure non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}var w7t=J_(),T7t=j2(),A7t=Gze(),S7t=Oz(),K2=bh(),Yz=Xze(),M7t=Zm(),E7t=JX(),k7t=W2(),Qze=Jze(),Kz=Xz(),C7t=eA(),L7t=rv;function rv(e,t){var r=this;if(!(this instanceof rv))return new rv(e,t);typeof e==\"function\"?(t||(t={}),t.regl=e):(t=e,e=null),t&&t.length&&(t.positions=t),e=t.regl;var n=e._gl,i,a=[],o={},s=[],l=[null],u=[null],c=255,f=100;this.tooManyColors=Qze,i=e.texture({data:new Uint8Array(c*4),width:c,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),K2(this,{regl:e,gl:n,groups:s,markerCache:u,markerTextures:l,palette:a,paletteIds:o,paletteTexture:i,maxColors:c,maxSize:f,canvas:n.canvas}),this.update(t);var h={uniforms:{constPointSize:!!t.constPointSize,opacity:e.prop(\"opacity\"),paletteSize:function(b,g){return[r.tooManyColors?0:c,i.height]},pixelRatio:e.context(\"pixelRatio\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translate:e.prop(\"translate\"),translateFract:e.prop(\"translateFract\"),markerTexture:e.prop(\"markerTexture\"),paletteTexture:i},attributes:{x:function(b,g){return g.xAttr||{buffer:g.positionBuffer,stride:8,offset:0}},y:function(b,g){return g.yAttr||{buffer:g.positionBuffer,stride:8,offset:4}},xFract:function(b,g){return g.xAttr?{constant:[0,0]}:{buffer:g.positionFractBuffer,stride:8,offset:0}},yFract:function(b,g){return g.yAttr?{constant:[0,0]}:{buffer:g.positionFractBuffer,stride:8,offset:4}},size:function(b,g){return g.size.length?{buffer:g.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(g.size*255/r.maxSize)]}},borderSize:function(b,g){return g.borderSize.length?{buffer:g.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(g.borderSize*255/r.maxSize)]}},colorId:function(b,g){return g.color.length?{buffer:g.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(g.color*4,g.color*4+4):[g.color]}},borderColorId:function(b,g){return g.borderColor.length?{buffer:g.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(g.borderColor*4,g.borderColor*4+4):[g.borderColor]}},isActive:function(b,g){return g.activation===!0?{constant:[1]}:g.activation?g.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:e.prop(\"elements\"),count:e.prop(\"count\"),offset:e.prop(\"offset\"),primitive:\"points\"},d=K2({},h);d.frag=Yz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform float opacity;\n",
+       "uniform sampler2D markerTexture;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float smoothStep(float x, float y) {\n",
+       "  return 1.0 / (1.0 + exp(50.0*(x - y)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n",
+       "\n",
+       "  // max-distance alpha\n",
+       "  if (dist < 0.003) discard;\n",
+       "\n",
+       "  // null-border case\n",
+       "  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n",
+       "    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n",
+       "    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n",
+       "  }\n",
+       "  else {\n",
+       "    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n",
+       "    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n",
+       "\n",
+       "    vec4 color = fragBorderColor;\n",
+       "    color.a *= borderColorAmt;\n",
+       "    color = mix(color, fragColor, colorAmt);\n",
+       "    color.a *= opacity;\n",
+       "\n",
+       "    gl_FragColor = color;\n",
+       "  }\n",
+       "\n",
+       "}\n",
+       "`]),d.vert=Yz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "const float borderLevel = .5;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = 2. * size * pointSizeScale;\n",
+       "  fragPointSize = size * pixelRatio;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "\n",
+       "  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n",
+       "  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n",
+       "}\n",
+       "`]),this.drawMarker=e(d);var v=K2({},h);v.frag=Yz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "uniform float opacity;\n",
+       "\n",
+       "float smoothStep(float edge0, float edge1, float x) {\n",
+       "\tfloat t;\n",
+       "\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n",
+       "\treturn t * t * (3.0 - 2.0 * t);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat radius, alpha = 1.0, delta = fragWidth;\n",
+       "\n",
+       "\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n",
+       "\n",
+       "\tif (radius > 1.0 + delta) {\n",
+       "\t\tdiscard;\n",
+       "\t}\n",
+       "\n",
+       "\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n",
+       "\n",
+       "\tfloat borderRadius = fragBorderRadius;\n",
+       "\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n",
+       "\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n",
+       "\tcolor.a *= alpha * opacity;\n",
+       "\tgl_FragColor = color;\n",
+       "}\n",
+       "`]),v.vert=Yz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = (size + borderSize) * pointSizeScale;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "}\n",
+       "`]),Qze&&(v.frag=v.frag.replace(\"smoothstep\",\"smoothStep\"),d.frag=d.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=e(v)}rv.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4};rv.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this};rv.prototype.draw=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];var i=this.groups;if(r.length===1&&Array.isArray(r[0])&&(r[0][0]===null||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach(function(o,s){e.drawItem(s)});return this};rv.prototype.drawItem=function(e,t){var r=this.groups,n=r[e];if(typeof t==\"number\"&&(e=t,n=r[t],t=null),!!(n&&n.count&&n.opacity)){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,t));for(var i=[],a=1;a<n.activation.length;a++)!n.activation[a]||n.activation[a]!==!0&&!n.activation[a].data.length||i.push.apply(i,g7t(this.getMarkerDrawOptions(a,n,t)));i.length&&this.drawMarker(i)}};rv.prototype.getMarkerDrawOptions=function(e,t,r){var n=t.range,i=t.tree,a=t.viewport,o=t.activation,s=t.selectionBuffer,l=t.count,u=this.regl;if(!i)return r?[K2({},t,{markerTexture:this.markerTextures[e],activation:o[e],count:r.length,elements:r,offset:0})]:[K2({},t,{markerTexture:this.markerTextures[e],activation:o[e],offset:0})];var c=[],f=i.range(n,{lod:!0,px:[(n[2]-n[0])/a.width,(n[3]-n[1])/a.height]});if(r){for(var h=o[e],d=h.data,v=new Uint8Array(l),x=0;x<r.length;x++){var b=r[x];v[b]=d?d[b]:1}s.subdata(v)}for(var g=f.length;g--;){var E=p7t(f[g],2),k=E[0],A=E[1];c.push(K2({},t,{markerTexture:this.markerTextures[e],activation:r?s:o[e],offset:k,count:A-k}))}return c};rv.prototype.update=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];if(r.length){r.length===1&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,l=this.maxColors,u=this.palette;this.groups=i=r.map(function(c,f){var h=i[f];if(c===void 0)return h;c===null?c={positions:null}:typeof c==\"function\"?c={ondraw:c}:typeof c[0]==\"number\"&&(c={positions:c}),c=M7t(c,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"}),c.positions===null&&(c.positions=[]),c.tooManyColors!=null&&(e.tooManyColors=c.tooManyColors),h||(i[f]=h={id:f,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},c=K2({},rv.defaults,c)),c.positions&&!(\"marker\"in c)&&(c.marker=h.marker,delete h.marker),c.marker&&!(\"positions\"in c)&&(c.positions=h.positions,delete h.positions);var d=0,v=0;if(E7t(h,c,[{snap:!0,size:function(G,N){return G==null&&(G=rv.defaults.size),d+=G&&G.length?1:0,G},borderSize:function(G,N){return G==null&&(G=rv.defaults.borderSize),d+=G&&G.length?1:0,G},opacity:parseFloat,color:function(G,N){return G==null&&(G=rv.defaults.color),G=e.updateColor(G),v++,G},borderColor:function(G,N){return G==null&&(G=rv.defaults.borderColor),G=e.updateColor(G),v++,G},bounds:function(G,N,W){return\"range\"in W||(W.range=null),G},positions:function(G,N,W){var re=N.snap,ae=N.positionBuffer,_e=N.positionFractBuffer,Me=N.selectionBuffer;if(G.x||G.y)return G.x.length?N.xAttr={buffer:o.buffer(G.x),offset:0,stride:4,count:G.x.length}:N.xAttr={buffer:G.x.buffer,offset:G.x.offset*4||0,stride:(G.x.stride||1)*4,count:G.x.count},G.y.length?N.yAttr={buffer:o.buffer(G.y),offset:0,stride:4,count:G.y.length}:N.yAttr={buffer:G.y.buffer,offset:G.y.offset*4||0,stride:(G.y.stride||1)*4,count:G.y.count},N.count=Math.max(N.xAttr.count,N.yAttr.count),G;G=k7t(G,\"float64\");var ke=N.count=Math.floor(G.length/2),ge=N.bounds=ke?T7t(G,2):null;if(!W.range&&!N.range&&(delete N.range,W.range=ge),!W.marker&&!N.marker&&(delete N.marker,W.marker=null),re&&(re===!0||ke>re)?N.tree=S7t(G,{bounds:ge}):re&&re.length&&(N.tree=re),N.tree){var ie={primitive:\"points\",usage:\"static\",data:N.tree,type:\"uint32\"};N.elements?N.elements(ie):N.elements=o.elements(ie)}var Te=Kz.float32(G);ae({data:Te,usage:\"dynamic\"});var Ee=Kz.fract32(G,Te);return _e({data:Ee,usage:\"dynamic\"}),Me({data:new Uint8Array(ke),type:\"uint8\",usage:\"stream\"}),G}},{marker:function(G,N,W){var re=N.activation;if(re.forEach(function(Ee){return Ee&&Ee.destroy&&Ee.destroy()}),re.length=0,!G||typeof G[0]==\"number\"){var ae=e.addMarker(G);re[ae]=!0}else{for(var _e=[],Me=0,ke=Math.min(G.length,N.count);Me<ke;Me++){var ge=e.addMarker(G[Me]);_e[ge]||(_e[ge]=new Uint8Array(N.count)),_e[ge][Me]=1}for(var ie=0;ie<_e.length;ie++)if(_e[ie]){var Te={data:_e[ie],type:\"uint8\",usage:\"static\"};re[ie]?re[ie](Te):re[ie]=o.buffer(Te),re[ie].data=_e[ie]}}return G},range:function(G,N,W){var re=N.bounds;if(re)return G||(G=re),N.scale=[1/(G[2]-G[0]),1/(G[3]-G[1])],N.translate=[-G[0],-G[1]],N.scaleFract=Kz.fract(N.scale),N.translateFract=Kz.fract(N.translate),G},viewport:function(G){var N=C7t(G||[a.drawingBufferWidth,a.drawingBufferHeight]);return N}}]),d){var x=h,b=x.count,g=x.size,E=x.borderSize,k=x.sizeBuffer,A=new Uint8Array(b*2);if(g.length||E.length)for(var L=0;L<b;L++)A[L*2]=Math.round((g[L]==null?g:g[L])*255/s),A[L*2+1]=Math.round((E[L]==null?E:E[L])*255/s);k({data:A,usage:\"dynamic\"})}if(v){var _=h,C=_.count,M=_.color,p=_.borderColor,P=_.colorBuffer,T;if(e.tooManyColors){if(M.length||p.length){T=new Uint8Array(C*8);for(var F=0;F<C;F++){var q=M[F];T[F*8]=u[q*4],T[F*8+1]=u[q*4+1],T[F*8+2]=u[q*4+2],T[F*8+3]=u[q*4+3];var V=p[F];T[F*8+4]=u[V*4],T[F*8+5]=u[V*4+1],T[F*8+6]=u[V*4+2],T[F*8+7]=u[V*4+3]}}}else if(M.length||p.length){T=new Uint8Array(C*4+2);for(var H=0;H<C;H++)M[H]!=null&&(T[H*4]=M[H]%l,T[H*4+1]=Math.floor(M[H]/l)),p[H]!=null&&(T[H*4+2]=p[H]%l,T[H*4+3]=Math.floor(p[H]/l))}P({data:T||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return h})}};rv.prototype.addMarker=function(e){var t=this.markerTextures,r=this.regl,n=this.markerCache,i=e==null?0:n.indexOf(e);if(i>=0)return i;var a;if(e instanceof Uint8Array||e instanceof Uint8ClampedArray)a=e;else{a=new Uint8Array(e.length);for(var o=0,s=e.length;o<s;o++)a[o]=e[o]*255}var l=Math.floor(Math.sqrt(a.length));return i=t.length,n.push(e),t.push(r.texture({channels:1,data:a,radius:l,mag:\"linear\",min:\"linear\"})),i};rv.prototype.updateColor=function(e){var t=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(e)||(e=[e]);var i=[];if(typeof e[0]==\"number\"){var a=[];if(Array.isArray(e))for(var o=0;o<e.length;o+=4)a.push(e.slice(o,o+4));else for(var s=0;s<e.length;s+=4)a.push(e.subarray(s,s+4));e=a}for(var l=0;l<e.length;l++){var u=e[l];u=w7t(u,\"uint8\");var c=A7t(u,!1);if(t[c]==null){var f=r.length;t[c]=Math.floor(f/4),r[f]=u[0],r[f+1]=u[1],r[f+2]=u[2],r[f+3]=u[3]}i[l]=t[c]}return!this.tooManyColors&&r.length>n*4&&(this.tooManyColors=!0),this.updatePalette(r),i.length===1?i[0]:i};rv.prototype.updatePalette=function(e){if(!this.tooManyColors){var t=this.maxColors,r=this.paletteTexture,n=Math.ceil(e.length*.25/t);if(n>1){e=e.slice();for(var i=e.length*.25%t;i<n*t;i++)e.push(0,0,0,0)}r.height<n&&r.resize(t,n),r.subimage({width:Math.min(e.length*.25,t),height:n,data:e},0,0)}};rv.prototype.destroy=function(){return this.groups.forEach(function(e){e.sizeBuffer.destroy(),e.positionBuffer.destroy(),e.positionFractBuffer.destroy(),e.colorBuffer.destroy(),e.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),e.selectionBuffer.destroy(),e.elements&&e.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(e){return e&&e.destroy&&e.destroy()}),this};var P7t=bh(),I7t=function(t,r){var n=new L7t(t,r),i=n.render.bind(n);return P7t(i,{render:i,update:n.update.bind(n),draw:n.draw.bind(n),destroy:n.destroy.bind(n),regl:n.regl,gl:n.gl,canvas:n.gl.canvas,groups:n.groups,markers:n.markerCache,palette:n.palette}),i};tFe.exports=I7t});var oFe=ye((E0r,iY)=>{\"use strict\";iY.exports=Qz;iY.exports.default=Qz;function Qz(e,t,r){r=r||2;var n=t&&t.length,i=n?t[0]*r:e.length,a=iFe(e,0,i,r,!0),o=[];if(!a||a.next===a.prev)return o;var s,l,u,c,f,h,d;if(n&&(a=q7t(e,t,a,r)),e.length>80*r){s=u=e[0],l=c=e[1];for(var v=r;v<i;v+=r)f=e[v],h=e[v+1],f<s&&(s=f),h<l&&(l=h),f>u&&(u=f),h>c&&(c=h);d=Math.max(u-s,c-l),d=d!==0?32767/d:0}return ok(a,o,r,s,l,d,0),o}function iFe(e,t,r,n,i){var a,o;if(i===rY(e,t,r,n)>0)for(a=t;a<r;a+=n)o=rFe(a,e[a],e[a+1],o);else for(a=r-n;a>=t;a-=n)o=rFe(a,e[a],e[a+1],o);return o&&eF(o,o.next)&&(lk(o),o=o.next),o}function J2(e,t){if(!e)return e;t||(t=e);var r=e,n;do 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e.toString()}catch(t){try{return String(e)}catch(r){return null}}}});var q7e=ye((_gr,F7e)=>{\"use strict\";var G9t=z7e(),j9t=/[\\n\\r\\u2028\\u2029]/g;F7e.exports=function(e){var t=G9t(e);return t===null?\"<Non-coercible to string value>\":(t.length>100&&(t=t.slice(0,99)+\"\\u2026\"),t=t.replace(j9t,function(r){switch(r){case`\n",
+       "`:return\"\\\\n\";case\"\\r\":return\"\\\\r\";case\"\\u2028\":return\"\\\\u2028\";case\"\\u2029\":return\"\\\\u2029\";default:throw new Error(\"Unexpected character\")}}),t)}});var gY=ye((xgr,N7e)=>{\"use strict\";var O7e=$2(),W9t=nF(),Z9t=R7e(),X9t=q7e(),B7e=function(e,t){return e.replace(\"%v\",X9t(t))};N7e.exports=function(e,t,r){if(!W9t(r))throw new TypeError(B7e(t,e));if(!O7e(e)){if(\"default\"in r)return r.default;if(r.isOptional)return null}var n=Z9t(r.errorMessage);throw O7e(n)||(n=t),new TypeError(B7e(n,e))}});var V7e=ye((bgr,U7e)=>{\"use strict\";var Y9t=gY(),K9t=$2();U7e.exports=function(e){return K9t(e)?e:Y9t(e,\"Cannot use %v\",arguments[1])}});var G7e=ye((wgr,H7e)=>{\"use strict\";var J9t=gY(),$9t=lY();H7e.exports=function(e){return $9t(e)?e:J9t(e,\"%v is not a plain function\",arguments[1])}});var W7e=ye((Tgr,j7e)=>{\"use strict\";j7e.exports=function(){var e=Array.from,t,r;return typeof 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U9e(e)}});var j9e=ye((Hgr,G9e)=>{\"use strict\";var Yqt=ck(),Kqt=uA(),Jqt=fk(),$qt=TY(),Qqt=Array.isArray,AY=Function.prototype.call,eOt=Array.prototype.some;G9e.exports=function(e,t){var r,n=arguments[2],i,a,o,s,l,u,c;if(Qqt(e)||Yqt(e)?r=\"array\":Jqt(e)?r=\"string\":e=$qt(e),Kqt(t),a=function(){o=!0},r===\"array\"){eOt.call(e,function(f){return AY.call(t,n,f,a),o});return}if(r===\"string\"){for(l=e.length,s=0;s<l&&(u=e[s],s+1<l&&(c=u.charCodeAt(0),c>=55296&&c<=56319&&(u+=e[++s])),AY.call(t,n,u,a),!o);++s);return}for(i=e.next();!i.done;){if(AY.call(t,n,i.value,a),o)return;i=e.next()}}});var Z9e=ye((Ggr,W9e)=>{\"use strict\";W9e.exports=function(){return typeof WeakMap!=\"function\"?!1:Object.prototype.toString.call(new WeakMap)===\"[object WeakMap]\"}()});var K9e=ye((jgr,Y9e)=>{\"use strict\";var tOt=sx(),fF=iF(),cF=TFe(),rOt=i1(),iOt=SFe(),a1=n1(),nOt=TY(),aOt=j9e(),oOt=lx().toStringTag,X9e=Z9e(),sOt=Array.isArray,MY=Object.defineProperty,SY=Object.prototype.hasOwnProperty,lOt=Object.getPrototypeOf,ux;Y9e.exports=ux=function(){var e=arguments[0],t;if(!(this instanceof ux))throw new TypeError(\"Constructor requires 'new'\");return t=X9e&&fF&&WeakMap!==ux?fF(new WeakMap,lOt(this)):this,tOt(e)&&(sOt(e)||(e=nOt(e))),MY(t,\"__weakMapData__\",a1(\"c\",\"$weakMap$\"+iOt())),e&&aOt(e,function(r){rOt(r),t.set(r[0],r[1])}),t};X9e&&(fF&&fF(ux,WeakMap),ux.prototype=Object.create(WeakMap.prototype,{constructor:a1(ux)}));Object.defineProperties(ux.prototype,{delete:a1(function(e){return SY.call(cF(e),this.__weakMapData__)?(delete e[this.__weakMapData__],!0):!1}),get:a1(function(e){if(SY.call(cF(e),this.__weakMapData__))return e[this.__weakMapData__]}),has:a1(function(e){return SY.call(cF(e),this.__weakMapData__)}),set:a1(function(e,t){return MY(cF(e),this.__weakMapData__,a1(\"c\",t)),this}),toString:a1(function(){return\"[object WeakMap]\"})});MY(ux.prototype,oOt,a1(\"c\",\"WeakMap\"))});var EY=ye((Wgr,J9e)=>{\"use strict\";J9e.exports=cFe()()?WeakMap:K9e()});var Q9e=ye((Zgr,$9e)=>{\"use strict\";$9e.exports=function(e,t,r){if(typeof Array.prototype.findIndex==\"function\")return e.findIndex(t,r);if(typeof t!=\"function\")throw new TypeError(\"predicate must be a function\");var n=Object(e),i=n.length;if(i===0)return-1;for(var a=0;a<i;a++)if(t.call(r,n[a],a,n))return a;return-1}});var LY=ye((Xgr,rqe)=>{\"use strict\";var hF=J_(),uOt=j2(),CY=bh(),cOt=Zm(),fOt=W2(),eqe=oFe(),hOt=lFe(),{float32:dOt,fract32:kY}=Xz(),vOt=EY(),tqe=eA(),pOt=Q9e(),gOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\n",
+       "attribute vec4 color;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "vec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n",
+       "\t// the order is important\n",
+       "\treturn position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineOffset = lineTop * 2. - 1.;\n",
+       "\n",
+       "\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n",
+       "\ttangent = normalize(diff * scale * viewport.zw);\n",
+       "\tvec2 normal = vec2(-tangent.y, tangent.x);\n",
+       "\n",
+       "\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n",
+       "\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n",
+       "\n",
+       "\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "}\n",
+       "`,mOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1.;\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`,yOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 position, positionFract;\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float pixelRatio, id;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "const float MAX_LINES = 256.;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n",
+       "\n",
+       "\tvec2 position = position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "\tfragColor.a *= opacity;\n",
+       "}\n",
+       "`,_Ot=`\n",
+       "precision highp float;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "\tgl_FragColor = fragColor;\n",
+       "}\n",
+       "`,xOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, nextCoord, prevCoord;\n",
+       "attribute vec4 aColor, bColor;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, translate;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float miterLimit, miterMode;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 tangent;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "const float REVERSE_THRESHOLD = -.875;\n",
+       "const float MIN_DIFF = 1e-6;\n",
+       "\n",
+       "// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n",
+       "// TODO: precalculate dot products, normalize things beforehead etc.\n",
+       "// TODO: refactor to rectangular algorithm\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "bool isNaN( float val ){\n",
+       "  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n",
+       "\n",
+       "  vec2 adjustedScale;\n",
+       "  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n",
+       "  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n",
+       "\n",
+       "  vec2 scaleRatio = adjustedScale * viewport.zw;\n",
+       "\tvec2 normalWidth = thickness / scaleRatio;\n",
+       "\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineBot = 1. - lineTop;\n",
+       "\n",
+       "\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n",
+       "\n",
+       "\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n",
+       "\n",
+       "\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n",
+       "\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n",
+       "\n",
+       "\n",
+       "\tvec2 prevDiff = aCoord - prevCoord;\n",
+       "\tvec2 currDiff = bCoord - aCoord;\n",
+       "\tvec2 nextDiff = nextCoord - bCoord;\n",
+       "\n",
+       "\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n",
+       "\tvec2 currTangent = normalize(currDiff * scaleRatio);\n",
+       "\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n",
+       "\n",
+       "\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n",
+       "\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n",
+       "\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n",
+       "\n",
+       "\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n",
+       "\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n",
+       "\n",
+       "\t// collapsed/unidirectional segment cases\n",
+       "\t// FIXME: there should be more elegant solution\n",
+       "\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n",
+       "\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n",
+       "\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tstartJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tendJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (aCoord == bCoord) {\n",
+       "\t\tendJoinDirection = startJoinDirection;\n",
+       "\t\tcurrNormal = prevNormal;\n",
+       "\t\tcurrTangent = prevTangent;\n",
+       "\t}\n",
+       "\n",
+       "\ttangent = currTangent;\n",
+       "\n",
+       "\t//calculate join shifts relative to normals\n",
+       "\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n",
+       "\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n",
+       "\n",
+       "\tfloat startMiterRatio = abs(1. / startJoinShift);\n",
+       "\tfloat endMiterRatio = abs(1. / endJoinShift);\n",
+       "\n",
+       "\tvec2 startJoin = startJoinDirection * startMiterRatio;\n",
+       "\tvec2 endJoin = endJoinDirection * endMiterRatio;\n",
+       "\n",
+       "\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n",
+       "\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n",
+       "\tstartBotJoin = -startTopJoin;\n",
+       "\n",
+       "\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n",
+       "\tendBotJoin = -endTopJoin;\n",
+       "\n",
+       "\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n",
+       "\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n",
+       "\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n",
+       "\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n",
+       "\n",
+       "\t//miter anti-clipping\n",
+       "\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n",
+       "\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n",
+       "\n",
+       "\t//prevent close to reverse direction switch\n",
+       "\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\n",
+       "\tif (prevReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n",
+       "\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\tbTopCoord -= normalWidth * endTopJoin;\n",
+       "\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tif (nextReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n",
+       "\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\taBotCoord -= normalWidth * startBotJoin;\n",
+       "\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\t//position is normalized 0..1 coord on the screen\n",
+       "\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n",
+       "\n",
+       "\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n",
+       "\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n",
+       "\n",
+       "\t//bevel miter cutoffs\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t//round miter cutoffs\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "}\n",
+       "`,bOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1., distToStart, distToEnd;\n",
+       "\tfloat cutoff = thickness * .5;\n",
+       "\n",
+       "\t//bevel miter\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t// round miter\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`;rqe.exports=uc;function uc(e,t){if(!(this instanceof uc))return new uc(e,t);if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=e._gl,this.regl=e,this.passes=[],this.shaders=uc.shaders.has(e)?uc.shaders.get(e):uc.shaders.set(e,uc.createShaders(e)).get(e),this.update(t)}uc.dashMult=2;uc.maxPatternLength=256;uc.precisionThreshold=3e6;uc.maxPoints=1e4;uc.maxLines=2048;uc.shaders=new vOt;uc.createShaders=function(e){let t=e.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:e.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:(o,s)=>s.join===\"round\"?2:1,miterLimit:e.prop(\"miterLimit\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),thickness:e.prop(\"thickness\"),dashTexture:e.prop(\"dashTexture\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),dashLength:e.prop(\"dashLength\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight],depth:e.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:(o,s)=>!s.overlay},stencil:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\")},n=e(CY({vert:gOt,frag:mOt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r)),i;try{i=e(CY({cull:{enable:!0,face:\"back\"},vert:xOt,frag:bOt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(o){i=n}return{fill:e({primitive:\"triangle\",elements:(o,s)=>s.triangles,offset:0,vert:yOt,frag:_Ot,uniforms:{scale:e.prop(\"scale\"),color:e.prop(\"fill\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight]},attributes:{position:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:n,miter:i}};uc.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null};uc.prototype.render=function(...e){e.length&&this.update(...e),this.draw()};uc.prototype.draw=function(...e){return(e.length?e:this.passes).forEach((t,r)=>{if(t&&Array.isArray(t))return this.draw(...t);typeof t==\"number\"&&(t=this.passes[t]),t&&t.count>1&&t.opacity&&(this.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&this.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>uc.precisionThreshold||t.scale[1]*t.viewport.height>uc.precisionThreshold?this.shaders.rect(t):t.join===\"rect\"||!t.join&&(t.thickness<=2||t.count>=uc.maxPoints)?this.shaders.rect(t):this.shaders.miter(t)))}),this};uc.prototype.update=function(e){if(!e)return;e.length!=null?typeof e[0]==\"number\"&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);let{regl:t,gl:r}=this;if(e.forEach((i,a)=>{let o=this.passes[a];if(i!==void 0){if(i===null){this.passes[a]=null;return}if(typeof i[0]==\"number\"&&(i={positions:i}),i=cOt(i,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),o||(this.passes[a]=o={id:a,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:t.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},i=CY({},uc.defaults,i)),i.thickness!=null&&(o.thickness=parseFloat(i.thickness)),i.opacity!=null&&(o.opacity=parseFloat(i.opacity)),i.miterLimit!=null&&(o.miterLimit=parseFloat(i.miterLimit)),i.overlay!=null&&(o.overlay=!!i.overlay,a<uc.maxLines&&(o.depth=2*(uc.maxLines-1-a%uc.maxLines)/uc.maxLines-1)),i.join!=null&&(o.join=i.join),i.hole!=null&&(o.hole=i.hole),i.fill!=null&&(o.fill=i.fill?hF(i.fill,\"uint8\"):null),i.viewport!=null&&(o.viewport=tqe(i.viewport)),o.viewport||(o.viewport=tqe([r.drawingBufferWidth,r.drawingBufferHeight])),i.close!=null&&(o.close=i.close),i.positions===null&&(i.positions=[]),i.positions){let u,c;if(i.positions.x&&i.positions.y){let v=i.positions.x,x=i.positions.y;c=o.count=Math.max(v.length,x.length),u=new Float64Array(c*2);for(let b=0;b<c;b++)u[b*2]=v[b],u[b*2+1]=x[b]}else u=fOt(i.positions,\"float64\"),c=o.count=Math.floor(u.length/2);let f=o.bounds=uOt(u,2);if(o.fill){let v=[],x={},b=0;for(let g=0,E=0,k=o.count;g<k;g++){let A=u[g*2],L=u[g*2+1];isNaN(A)||isNaN(L)||A==null||L==null?(A=u[b*2],L=u[b*2+1],x[g]=b):b=g,v[E++]=A,v[E++]=L}if(i.splitNull){o.count-1 in x||(x[o.count]=o.count-1);let g=Object.keys(x).map(Number).sort((L,_)=>L-_),E=[],k=0,A=o.hole!=null?o.hole[0]:null;if(A!=null){let L=pOt(g,_=>_>=A);g=g.slice(0,L),g.push(A)}for(let L=0;L<g.length;L++){let _=v.slice(k*2,g[L]*2).concat(A?v.slice(A*2):[]),C=(o.hole||[]).map(p=>p-A+(g[L]-k)),M=eqe(_,C);M=M.map(p=>p+k+(p+k<g[L]?0:A-g[L])),E.push(...M),k=g[L]+1}for(let L=0,_=E.length;L<_;L++)x[E[L]]!=null&&(E[L]=x[E[L]]);o.triangles=E}else{let g=eqe(v,o.hole||[]);for(let E=0,k=g.length;E<k;E++)x[g[E]]!=null&&(g[E]=x[g[E]]);o.triangles=g}}let h=new Float64Array(u);hOt(h,2,f);let d=new 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v=0;v<i.dashes.length;++v){for(let x=0,b=i.dashes[v]*uc.dashMult*.5;x<b;++x)c[f++]=h;h^=255}}o.dashLength=u,o.dashTexture({channels:1,data:c,width:c.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(i.color){let u=o.count,c=i.color;c||(c=\"transparent\");let f=new Uint8Array(u*4+4);if(!Array.isArray(c)||typeof c[0]==\"number\"){let h=hF(c,\"uint8\");for(let d=0;d<u+1;d++)f.set(h,d*4)}else{for(let h=0;h<u;h++){let d=hF(c[h],\"uint8\");f.set(d,h*4)}f.set(hF(c[0],\"uint8\"),u*4)}o.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:f})}}}),e.length<this.passes.length){for(let i=e.length;i<this.passes.length;i++){let a=this.passes[i];a&&(a.colorBuffer.destroy(),a.positionBuffer.destroy(),a.dashTexture.destroy())}this.passes.length=e.length}let n=[];for(let i=0;i<this.passes.length;i++)this.passes[i]!==null&&n.push(this.passes[i]);return this.passes=n,this};uc.prototype.destroy=function(){return this.passes.forEach(e=>{e.colorBuffer.destroy(),e.positionBuffer.destroy(),e.dashTexture.destroy()}),this.passes.length=0,this}});var sqe=ye((Ygr,oqe)=>{\"use strict\";var wOt=j2(),TOt=J_(),AOt=JX(),SOt=Zm(),iqe=bh(),nqe=W2(),{float32:MOt,fract32:PY}=Xz();oqe.exports=EOt;var aqe=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]];function EOt(e,t){if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");let r=e._gl,n,i,a,o,s,l,u={color:\"black\",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},c=[];return o=e.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array(0)}),i=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),a=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),s=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),l=e.buffer({usage:\"static\",type:\"float\",data:aqe}),v(t),n=e({vert:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tattribute vec2 position, positionFract;\n",
+       "\t\tattribute vec4 error;\n",
+       "\t\tattribute vec4 color;\n",
+       "\n",
+       "\t\tattribute vec2 direction, lineOffset, capOffset;\n",
+       "\n",
+       "\t\tuniform vec4 viewport;\n",
+       "\t\tuniform float lineWidth, capSize;\n",
+       "\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tfragColor = color / 255.;\n",
+       "\n",
+       "\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n",
+       "\n",
+       "\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n",
+       "\n",
+       "\t\t\tvec2 position = position + dxy;\n",
+       "\n",
+       "\t\t\tvec2 pos = (position + translate) * scale\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scale\n",
+       "\t\t\t\t+ (position + translate) * scaleFract\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "\t\t\tpos += pixelOffset / viewport.zw;\n",
+       "\n",
+       "\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n",
+       "\t\t}\n",
+       "\t\t`,frag:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tuniform float opacity;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tgl_FragColor = fragColor;\n",
+       "\t\t\tgl_FragColor.a *= opacity;\n",
+       "\t\t}\n",
+       "\t\t`,uniforms:{range:e.prop(\"range\"),lineWidth:e.prop(\"lineWidth\"),capSize:e.prop(\"capSize\"),opacity:e.prop(\"opacity\"),scale:e.prop(\"scale\"),translate:e.prop(\"translate\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),viewport:(b,g)=>[g.viewport.x,g.viewport.y,b.viewportWidth,b.viewportHeight]},attributes:{color:{buffer:o,offset:(b,g)=>g.offset*4,divisor:1},position:{buffer:i,offset:(b,g)=>g.offset*8,divisor:1},positionFract:{buffer:a,offset:(b,g)=>g.offset*8,divisor:1},error:{buffer:s,offset:(b,g)=>g.offset*16,divisor:1},direction:{buffer:l,stride:24,offset:0},lineOffset:{buffer:l,stride:24,offset:8},capOffset:{buffer:l,stride:24,offset:16}},primitive:\"triangles\",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:!1,instances:e.prop(\"count\"),count:aqe.length}),iqe(f,{update:v,draw:h,destroy:x,regl:e,gl:r,canvas:r.canvas,groups:c}),f;function f(b){b?v(b):b===null&&x(),h()}function h(b){if(typeof b==\"number\")return d(b);b&&!Array.isArray(b)&&(b=[b]),e._refresh(),c.forEach((g,E)=>{if(g){if(b&&(b[E]?g.draw=!0:g.draw=!1),!g.draw){g.draw=!0;return}d(E)}})}function d(b){typeof b==\"number\"&&(b=c[b]),b!=null&&b&&b.count&&b.color&&b.opacity&&b.positions&&b.positions.length>1&&(b.scaleRatio=[b.scale[0]*b.viewport.width,b.scale[1]*b.viewport.height],n(b),b.after&&b.after(b))}function v(b){if(!b)return;b.length!=null?typeof b[0]==\"number\"&&(b=[{positions:b}]):Array.isArray(b)||(b=[b]);let g=0,E=0;if(f.groups=c=b.map((L,_)=>{let C=c[_];if(L)typeof L==\"function\"?L={after:L}:typeof L[0]==\"number\"&&(L={positions:L});else return C;return L=SOt(L,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),C||(c[_]=C={id:_,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},L=iqe({},u,L)),AOt(C,L,[{lineWidth:M=>+M*.5,capSize:M=>+M*.5,opacity:parseFloat,errors:M=>(M=nqe(M),E+=M.length,M),positions:(M,p)=>(M=nqe(M,\"float64\"),p.count=Math.floor(M.length/2),p.bounds=wOt(M,2),p.offset=g,g+=p.count,M)},{color:(M,p)=>{let P=p.count;if(M||(M=\"transparent\"),!Array.isArray(M)||typeof M[0]==\"number\"){let F=M;M=Array(P);for(let q=0;q<P;q++)M[q]=F}if(M.length<P)throw Error(\"Not enough colors\");let T=new Uint8Array(P*4);for(let F=0;F<P;F++){let q=TOt(M[F],\"uint8\");T.set(q,F*4)}return T},range:(M,p,P)=>{let T=p.bounds;return M||(M=T),p.scale=[1/(M[2]-M[0]),1/(M[3]-M[1])],p.translate=[-M[0],-M[1]],p.scaleFract=PY(p.scale),p.translateFract=PY(p.translate),M},viewport:M=>{let p;return Array.isArray(M)?p={x:M[0],y:M[1],width:M[2]-M[0],height:M[3]-M[1]}:M?(p={x:M.x||M.left||0,y:M.y||M.top||0},M.right?p.width=M.right-p.x:p.width=M.w||M.width||0,M.bottom?p.height=M.bottom-p.y:p.height=M.h||M.height||0):p={x:0,y:0,width:r.drawingBufferWidth,height:r.drawingBufferHeight},p}}]),C}),g||E){let L=c.reduce((p,P,T)=>p+(P?P.count:0),0),_=new Float64Array(L*2),C=new Uint8Array(L*4),M=new Float32Array(L*4);c.forEach((p,P)=>{if(!p)return;let{positions:T,count:F,offset:q,color:V,errors:H}=p;F&&(C.set(V,q*4),M.set(H,q*4),_.set(T,q*2))});var k=MOt(_);i(k);var A=PY(_,k);a(A),o(C),s(M)}}function x(){i.destroy(),a.destroy(),o.destroy(),s.destroy(),l.destroy()}}});var cqe=ye((Kgr,uqe)=>{var lqe=/[\\'\\\"]/;uqe.exports=function(t){return t?(lqe.test(t.charAt(0))&&(t=t.substr(1)),lqe.test(t.charAt(t.length-1))&&(t=t.substr(0,t.length-1)),t):\"\"}});var IY=ye(()=>{});var RY=ye(()=>{});var DY=ye(()=>{});var zY=ye(()=>{});var FY=ye(()=>{});var vqe=ye((smr,dqe)=>{\"use strict\";function fqe(e,t){if(typeof e!=\"string\")return[e];var r=[e];typeof t==\"string\"||Array.isArray(t)?t={brackets:t}:t||(t={});var n=t.brackets?Array.isArray(t.brackets)?t.brackets:[t.brackets]:[\"{}\",\"[]\",\"()\"],i=t.escape||\"___\",a=!!t.flat;n.forEach(function(l){var u=new RegExp([\"\\\\\",l[0],\"[^\\\\\",l[0],\"\\\\\",l[1],\"]*\\\\\",l[1]].join(\"\")),c=[];function f(h,d,v){var x=r.push(h.slice(l[0].length,-l[1].length))-1;return c.push(x),i+x+i}r.forEach(function(h,d){for(var v,x=0;h!=v;)if(v=h,h=h.replace(u,f),x++>1e4)throw Error(\"References have circular dependency. 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kOt=yqe();_qe.exports={isSize:function(t){return/^[\\d\\.]/.test(t)||t.indexOf(\"/\")!==-1||kOt.indexOf(t)!==-1}}});var Tqe=ye((hmr,wqe)=>{\"use strict\";var COt=cqe(),LOt=IY(),POt=RY(),IOt=DY(),ROt=zY(),DOt=FY(),BY=mqe(),zOt=OY().isSize;wqe.exports=bqe;var pk=bqe.cache={};function bqe(e){if(typeof e!=\"string\")throw new Error(\"Font argument must be a string.\");if(pk[e])return pk[e];if(e===\"\")throw new Error(\"Cannot parse an empty string.\");if(POt.indexOf(e)!==-1)return pk[e]={system:e};for(var t={style:\"normal\",variant:\"normal\",weight:\"normal\",stretch:\"normal\",lineHeight:\"normal\",size:\"1rem\",family:[\"serif\"]},r=BY(e,/\\s+/),n;n=r.shift();){if(LOt.indexOf(n)!==-1)return[\"style\",\"variant\",\"weight\",\"stretch\"].forEach(function(a){t[a]=n}),pk[e]=t;if(ROt.indexOf(n)!==-1){t.style=n;continue}if(n===\"normal\"||n===\"small-caps\"){t.variant=n;continue}if(DOt.indexOf(n)!==-1){t.stretch=n;continue}if(IOt.indexOf(n)!==-1){t.weight=n;continue}if(zOt(n)){var i=BY(n,\"/\");if(t.size=i[0],i[1]!=null?t.lineHeight=xqe(i[1]):r[0]===\"/\"&&(r.shift(),t.lineHeight=xqe(r.shift())),!r.length)throw new Error(\"Missing required font-family.\");return t.family=BY(r.join(\" \"),/\\s*,\\s*/).map(COt),pk[e]=t}throw new Error(\"Unknown or unsupported font token: \"+n)}throw new Error(\"Missing required font-size.\")}function xqe(e){var t=parseFloat(e);return t.toString()===e?t:e}});var UY=ye((dmr,Aqe)=>{\"use strict\";var FOt=Zm(),qOt=OY().isSize,OOt=mk(IY()),BOt=mk(RY()),NOt=mk(DY()),UOt=mk(zY()),VOt=mk(FY()),HOt={normal:1,\"small-caps\":1},GOt={serif:1,\"sans-serif\":1,monospace:1,cursive:1,fantasy:1,\"system-ui\":1},NY={style:\"normal\",variant:\"normal\",weight:\"normal\",stretch:\"normal\",size:\"1rem\",lineHeight:\"normal\",family:\"serif\"};Aqe.exports=function(t){if(t=FOt(t,{style:\"style fontstyle fontStyle font-style slope distinction\",variant:\"variant font-variant fontVariant fontvariant var capitalization\",weight:\"weight w font-weight 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Ie},unbind:function(){this.bindCount-=1},decRef:function(){--this.refCount<=0&&Y(this)}});function z(de,Ie){var $e=new ls(Ji);Hl[$e.id]=$e,Oi.textureCount++;function pt(Jt,vt){var Pt=$e.texInfo;El.call(Pt);var Wt=xs();return typeof Jt==\"number\"?typeof vt==\"number\"?Po(Wt,Jt|0,vt|0):Po(Wt,Jt|0,Jt|0):Jt?(bc(Pt,Jt),Jo(Wt,Jt)):Po(Wt,1,1),Pt.genMipmaps&&(Wt.mipmask=(Wt.width<<1)-1),$e.mipmask=Wt.mipmask,vn($e,Wt),$e.internalformat=Wt.internalformat,pt.width=Wt.width,pt.height=Wt.height,_f($e),Xl(Wt,Ji),wc(Pt,Ji),ns(),Qc(Wt),Bi.profile&&($e.stats.size=Wc($e.internalformat,$e.type,Wt.width,Wt.height,Pt.genMipmaps,!1)),pt.format=Ln[$e.internalformat],pt.type=Un[$e.type],pt.mag=gn[Pt.magFilter],pt.min=ca[Pt.minFilter],pt.wrapS=Kn[Pt.wrapS],pt.wrapT=Kn[Pt.wrapT],pt}function Kt(Jt,vt,Pt,Wt){var rr=vt|0,dr=Pt|0,pr=Wt|0,kr=Jn();return 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dr==\"object\")if(pr)Jo(vt[0],dr),Jo(vt[1],pr),Jo(vt[2],kr),Jo(vt[3],Ar),Jo(vt[4],gr),Jo(vt[5],Cr);else if(bc(Gr,dr),Aa(Jt,dr),\"faces\"in dr){var yi=dr.faces;for(cr=0;cr<6;++cr)vn(vt[cr],Jt),Jo(vt[cr],yi[cr])}else for(cr=0;cr<6;++cr)Jo(vt[cr],dr);for(vn(Jt,vt[0]),Gr.genMipmaps?Jt.mipmask=(vt[0].width<<1)-1:Jt.mipmask=vt[0].mipmask,Jt.internalformat=vt[0].internalformat,Pt.width=vt[0].width,Pt.height=vt[0].height,_f(Jt),cr=0;cr<6;++cr)Xl(vt[cr],Fn+cr);for(wc(Gr,ua),ns(),Bi.profile&&(Jt.stats.size=Wc(Jt.internalformat,Jt.type,Pt.width,Pt.height,Gr.genMipmaps,!0)),Pt.format=Ln[Jt.internalformat],Pt.type=Un[Jt.type],Pt.mag=gn[Gr.magFilter],Pt.min=ca[Gr.minFilter],Pt.wrapS=Kn[Gr.wrapS],Pt.wrapT=Kn[Gr.wrapT],cr=0;cr<6;++cr)Qc(vt[cr]);return Pt}function Wt(dr,pr,kr,Ar,gr){var Cr=kr|0,cr=Ar|0,Gr=gr|0,ei=Jn();return vn(ei,Jt),ei.width=0,ei.height=0,Vn(ei,pr),ei.width=ei.width||(Jt.width>>Gr)-Cr,ei.height=ei.height||(Jt.height>>Gr)-cr,_f(Jt),ro(ei,Fn+dr,Cr,cr,Gr),ns(),Oa(ei),Pt}function rr(dr){var pr=dr|0;if(pr!==Jt.width){Pt.width=Jt.width=pr,Pt.height=Jt.height=pr,_f(Jt);for(var kr=0;kr<6;++kr)for(var Ar=0;Jt.mipmask>>Ar;++Ar)At.texImage2D(Fn+kr,Ar,Jt.format,pr>>Ar,pr>>Ar,0,Jt.format,Jt.type,null);return ns(),Bi.profile&&(Jt.stats.size=Wc(Jt.internalformat,Jt.type,Pt.width,Pt.height,!1,!0)),Pt}}return Pt(de,Ie,$e,pt,Kt,ir),Pt.subimage=Wt,Pt.resize=rr,Pt._reglType=\"textureCube\",Pt._texture=Jt,Bi.profile&&(Pt.stats=Jt.stats),Pt.destroy=function(){Jt.decRef()},Pt}function O(){for(var de=0;de<Fc;++de)At.activeTexture(Cc+de),At.bindTexture(Ji,null),ef[de]=null;ut(Hl).forEach(Y),Oi.cubeCount=0,Oi.textureCount=0}Bi.profile&&(Oi.getTotalTextureSize=function(){var de=0;return Object.keys(Hl).forEach(function(Ie){de+=Hl[Ie].stats.size}),de});function $(){for(var de=0;de<Fc;++de){var Ie=ef[de];Ie&&(Ie.bindCount=0,Ie.unit=-1,ef[de]=null)}ut(Hl).forEach(function($e){$e.texture=At.createTexture(),At.bindTexture($e.target,$e.texture);for(var pt=0;pt<32;++pt)if($e.mipmask&1<<pt)if($e.target===Ji)At.texImage2D(Ji,pt,$e.internalformat,$e.width>>pt,$e.height>>pt,0,$e.internalformat,$e.type,null);else for(var Kt=0;Kt<6;++Kt)At.texImage2D(Fn+Kt,pt,$e.internalformat,$e.width>>pt,$e.height>>pt,0,$e.internalformat,$e.type,null);wc($e.texInfo,$e.target)})}function pe(){for(var de=0;de<Fc;++de){var Ie=ef[de];Ie&&(Ie.bindCount=0,Ie.unit=-1,ef[de]=null),At.activeTexture(Cc+de),At.bindTexture(Ji,null),At.bindTexture(ua,null)}}return{create2D:z,createCube:K,clear:O,getTexture:function(de){return null},restore:$,refresh:pe}}var Cu=36161,Nf=32854,Zc=32855,ds=36194,Ch=33189,Bd=36168,Jh=34041,Cf=35907,pd=34836,Lu=34842,$h=34843,eu=[];eu[Nf]=2,eu[Zc]=2,eu[ds]=2,eu[Ch]=2,eu[Bd]=1,eu[Jh]=4,eu[Cf]=4,eu[pd]=16,eu[Lu]=8,eu[$h]=6;function Pu(At,Er,Wr){return eu[At]*Er*Wr}var Lc=function(At,Er,Wr,wi,Ui){var Oi={rgba4:Nf,rgb565:ds,\"rgb5 a1\":Zc,depth:Ch,stencil:Bd,\"depth stencil\":Jh};Er.ext_srgb&&(Oi.srgba=Cf),Er.ext_color_buffer_half_float&&(Oi.rgba16f=Lu,Oi.rgb16f=$h),Er.webgl_color_buffer_float&&(Oi.rgba32f=pd);var Bi=[];Object.keys(Oi).forEach(function(Dn){var fn=Oi[Dn];Bi[fn]=Dn});var cn=0,On={};function Bn(Dn){this.id=cn++,this.refCount=1,this.renderbuffer=Dn,this.format=Nf,this.width=0,this.height=0,Ui.profile&&(this.stats={size:0})}Bn.prototype.decRef=function(){--this.refCount<=0&&yn(this)};function yn(Dn){var fn=Dn.renderbuffer;At.bindRenderbuffer(Cu,null),At.deleteRenderbuffer(fn),Dn.renderbuffer=null,Dn.refCount=0,delete On[Dn.id],wi.renderbufferCount--}function to(Dn,fn){var Ai=new Bn(At.createRenderbuffer());On[Ai.id]=Ai,wi.renderbufferCount++;function ji(Un,gn){var ca=0,Kn=0,Za=Nf;if(typeof Un==\"object\"&&Un){var wn=Un;if(\"shape\"in wn){var vn=wn.shape;ca=vn[0]|0,Kn=vn[1]|0}else\"radius\"in wn&&(ca=Kn=wn.radius|0),\"width\"in wn&&(ca=wn.width|0),\"height\"in wn&&(Kn=wn.height|0);\"format\"in wn&&(Za=Oi[wn.format])}else typeof Un==\"number\"?(ca=Un|0,typeof gn==\"number\"?Kn=gn|0:Kn=ca):Un||(ca=Kn=1);if(!(ca===Ai.width&&Kn===Ai.height&&Za===Ai.format))return ji.width=Ai.width=ca,ji.height=Ai.height=Kn,Ai.format=Za,At.bindRenderbuffer(Cu,Ai.renderbuffer),At.renderbufferStorage(Cu,Za,ca,Kn),Ui.profile&&(Ai.stats.size=Pu(Ai.format,Ai.width,Ai.height)),ji.format=Bi[Ai.format],ji}function Ln(Un,gn){var ca=Un|0,Kn=gn|0||ca;return ca===Ai.width&&Kn===Ai.height||(ji.width=Ai.width=ca,ji.height=Ai.height=Kn,At.bindRenderbuffer(Cu,Ai.renderbuffer),At.renderbufferStorage(Cu,Ai.format,ca,Kn),Ui.profile&&(Ai.stats.size=Pu(Ai.format,Ai.width,Ai.height))),ji}return ji(Dn,fn),ji.resize=Ln,ji._reglType=\"renderbuffer\",ji._renderbuffer=Ai,Ui.profile&&(ji.stats=Ai.stats),ji.destroy=function(){Ai.decRef()},ji}Ui.profile&&(wi.getTotalRenderbufferSize=function(){var Dn=0;return Object.keys(On).forEach(function(fn){Dn+=On[fn].stats.size}),Dn});function Rn(){ut(On).forEach(function(Dn){Dn.renderbuffer=At.createRenderbuffer(),At.bindRenderbuffer(Cu,Dn.renderbuffer),At.renderbufferStorage(Cu,Dn.format,Dn.width,Dn.height)}),At.bindRenderbuffer(Cu,null)}return{create:to,clear:function(){ut(On).forEach(yn)},restore:Rn}},fl=36160,Xc=36161,ic=3553,yu=34069,Qs=36064,Qh=36096,gd=36128,Gu=33306,Pc=36053,vc=36193,sv=5121,Lf=5126,Uf=6407,Iu=6408,oh=[];oh[Iu]=4,oh[Uf]=3;var tu=[];tu[sv]=1,tu[Lf]=4,tu[vc]=2;function vf(At,Er,Wr,wi,Ui,Oi){var Bi={cur:null,next:null,dirty:!1,setFBO:null},cn=[\"rgba\"],On=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];Er.ext_srgb&&On.push(\"srgba\"),Er.ext_color_buffer_half_float&&On.push(\"rgba16f\",\"rgb16f\"),Er.webgl_color_buffer_float&&On.push(\"rgba32f\");var Bn=[\"uint8\"];Er.oes_texture_half_float&&Bn.push(\"half float\",\"float16\"),Er.oes_texture_float&&Bn.push(\"float\",\"float32\");function yn(Xn,Vn,ma){this.target=Xn,this.texture=Vn,this.renderbuffer=ma;var ro=0,Ao=0;Vn?(ro=Vn.width,Ao=Vn.height):ma&&(ro=ma.width,Ao=ma.height),this.width=ro,this.height=Ao}function to(Xn){Xn&&(Xn.texture&&Xn.texture._texture.decRef(),Xn.renderbuffer&&Xn.renderbuffer._renderbuffer.decRef())}function Rn(Xn,Vn,ma){if(Xn)if(Xn.texture){var ro=Xn.texture._texture,Ao=Math.max(1,ro.width),Jn=Math.max(1,ro.height);ro.refCount+=1}else{var Oa=Xn.renderbuffer._renderbuffer;Oa.refCount+=1}}function Dn(Xn,Vn){Vn&&(Vn.texture?At.framebufferTexture2D(fl,Xn,Vn.target,Vn.texture._texture.texture,0):At.framebufferRenderbuffer(fl,Xn,Xc,Vn.renderbuffer._renderbuffer.renderbuffer))}function fn(Xn){var Vn=ic,ma=null,ro=null,Ao=Xn;typeof Xn==\"object\"&&(Ao=Xn.data,\"target\"in Xn&&(Vn=Xn.target|0));var Jn=Ao._reglType;return Jn===\"texture2d\"||Jn===\"textureCube\"?ma=Ao:Jn===\"renderbuffer\"&&(ro=Ao,Vn=Xc),new yn(Vn,ma,ro)}function Ai(Xn,Vn,ma,ro,Ao){if(ma){var Jn=wi.create2D({width:Xn,height:Vn,format:ro,type:Ao});return Jn._texture.refCount=0,new yn(ic,Jn,null)}else{var Oa=Ui.create({width:Xn,height:Vn,format:ro});return Oa._renderbuffer.refCount=0,new yn(Xc,null,Oa)}}function ji(Xn){return Xn&&(Xn.texture||Xn.renderbuffer)}function Ln(Xn,Vn,ma){Xn&&(Xn.texture?Xn.texture.resize(Vn,ma):Xn.renderbuffer&&Xn.renderbuffer.resize(Vn,ma),Xn.width=Vn,Xn.height=ma)}var Un=0,gn={};function ca(){this.id=Un++,gn[this.id]=this,this.framebuffer=At.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Kn(Xn){Xn.colorAttachments.forEach(to),to(Xn.depthAttachment),to(Xn.stencilAttachment),to(Xn.depthStencilAttachment)}function Za(Xn){var Vn=Xn.framebuffer;At.deleteFramebuffer(Vn),Xn.framebuffer=null,Oi.framebufferCount--,delete gn[Xn.id]}function wn(Xn){var Vn;At.bindFramebuffer(fl,Xn.framebuffer);var ma=Xn.colorAttachments;for(Vn=0;Vn<ma.length;++Vn)Dn(Qs+Vn,ma[Vn]);for(Vn=ma.length;Vn<Wr.maxColorAttachments;++Vn)At.framebufferTexture2D(fl,Qs+Vn,ic,null,0);At.framebufferTexture2D(fl,Gu,ic,null,0),At.framebufferTexture2D(fl,Qh,ic,null,0),At.framebufferTexture2D(fl,gd,ic,null,0),Dn(Qh,Xn.depthAttachment),Dn(gd,Xn.stencilAttachment),Dn(Gu,Xn.depthStencilAttachment);var ro=At.checkFramebufferStatus(fl);At.isContextLost(),At.bindFramebuffer(fl,Bi.next?Bi.next.framebuffer:null),Bi.cur=Bi.next,At.getError()}function vn(Xn,Vn){var ma=new ca;Oi.framebufferCount++;function ro(Jn,Oa){var _o,Po=0,Jo=0,Xl=!0,$c=!0,xs=null,Qc=!0,El=\"rgba\",bc=\"uint8\",wc=1,yf=null,Hl=null,Fc=null,ef=!1;if(typeof Jn==\"number\")Po=Jn|0,Jo=Oa|0||Po;else if(!Jn)Po=Jo=1;else{var ls=Jn;if(\"shape\"in ls){var _f=ls.shape;Po=_f[0],Jo=_f[1]}else\"radius\"in ls&&(Po=Jo=ls.radius),\"width\"in ls&&(Po=ls.width),\"height\"in ls&&(Jo=ls.height);(\"color\"in ls||\"colors\"in ls)&&(xs=ls.color||ls.colors,Array.isArray(xs)),xs||(\"colorCount\"in ls&&(wc=ls.colorCount|0),\"colorTexture\"in ls&&(Qc=!!ls.colorTexture,El=\"rgba4\"),\"colorType\"in ls&&(bc=ls.colorType,Qc||(bc===\"half float\"||bc===\"float16\"?El=\"rgba16f\":(bc===\"float\"||bc===\"float32\")&&(El=\"rgba32f\"))),\"colorFormat\"in ls&&(El=ls.colorFormat,cn.indexOf(El)>=0?Qc=!0:On.indexOf(El)>=0&&(Qc=!1))),(\"depthTexture\"in ls||\"depthStencilTexture\"in ls)&&(ef=!!(ls.depthTexture||ls.depthStencilTexture)),\"depth\"in ls&&(typeof ls.depth==\"boolean\"?Xl=ls.depth:(yf=ls.depth,$c=!1)),\"stencil\"in ls&&(typeof ls.stencil==\"boolean\"?$c=ls.stencil:(Hl=ls.stencil,Xl=!1)),\"depthStencil\"in ls&&(typeof ls.depthStencil==\"boolean\"?Xl=$c=ls.depthStencil:(Fc=ls.depthStencil,Xl=!1,$c=!1))}var ns=null,Y=null,z=null,K=null;if(Array.isArray(xs))ns=xs.map(fn);else if(xs)ns=[fn(xs)];else for(ns=new Array(wc),_o=0;_o<wc;++_o)ns[_o]=Ai(Po,Jo,Qc,El,bc);Po=Po||ns[0].width,Jo=Jo||ns[0].height,yf?Y=fn(yf):Xl&&!$c&&(Y=Ai(Po,Jo,ef,\"depth\",\"uint32\")),Hl?z=fn(Hl):$c&&!Xl&&(z=Ai(Po,Jo,!1,\"stencil\",\"uint8\")),Fc?K=fn(Fc):!yf&&!Hl&&$c&&Xl&&(K=Ai(Po,Jo,ef,\"depth stencil\",\"depth stencil\"));var O=null;for(_o=0;_o<ns.length;++_o)if(Rn(ns[_o],Po,Jo),ns[_o]&&ns[_o].texture){var $=oh[ns[_o].texture._texture.format]*tu[ns[_o].texture._texture.type];O===null&&(O=$)}return Rn(Y,Po,Jo),Rn(z,Po,Jo),Rn(K,Po,Jo),Kn(ma),ma.width=Po,ma.height=Jo,ma.colorAttachments=ns,ma.depthAttachment=Y,ma.stencilAttachment=z,ma.depthStencilAttachment=K,ro.color=ns.map(ji),ro.depth=ji(Y),ro.stencil=ji(z),ro.depthStencil=ji(K),ro.width=ma.width,ro.height=ma.height,wn(ma),ro}function Ao(Jn,Oa){var _o=Math.max(Jn|0,1),Po=Math.max(Oa|0||_o,1);if(_o===ma.width&&Po===ma.height)return ro;for(var Jo=ma.colorAttachments,Xl=0;Xl<Jo.length;++Xl)Ln(Jo[Xl],_o,Po);return Ln(ma.depthAttachment,_o,Po),Ln(ma.stencilAttachment,_o,Po),Ln(ma.depthStencilAttachment,_o,Po),ma.width=ro.width=_o,ma.height=ro.height=Po,wn(ma),ro}return ro(Xn,Vn),e(ro,{resize:Ao,_reglType:\"framebuffer\",_framebuffer:ma,destroy:function(){Za(ma),Kn(ma)},use:function(Jn){Bi.setFBO({framebuffer:ro},Jn)}})}function Aa(Xn){var Vn=Array(6);function ma(Ao){var Jn,Oa={color:null},_o=0,Po=null,Jo=\"rgba\",Xl=\"uint8\",$c=1;if(typeof Ao==\"number\")_o=Ao|0;else if(!Ao)_o=1;else{var xs=Ao;if(\"shape\"in xs){var Qc=xs.shape;_o=Qc[0]}else\"radius\"in xs&&(_o=xs.radius|0),\"width\"in xs?(_o=xs.width|0,\"height\"in xs):\"height\"in xs&&(_o=xs.height|0);(\"color\"in xs||\"colors\"in xs)&&(Po=xs.color||xs.colors,Array.isArray(Po)),Po||(\"colorCount\"in xs&&($c=xs.colorCount|0),\"colorType\"in xs&&(Xl=xs.colorType),\"colorFormat\"in xs&&(Jo=xs.colorFormat)),\"depth\"in xs&&(Oa.depth=xs.depth),\"stencil\"in xs&&(Oa.stencil=xs.stencil),\"depthStencil\"in xs&&(Oa.depthStencil=xs.depthStencil)}var El;if(Po)if(Array.isArray(Po))for(El=[],Jn=0;Jn<Po.length;++Jn)El[Jn]=Po[Jn];else El=[Po];else{El=Array($c);var bc={radius:_o,format:Jo,type:Xl};for(Jn=0;Jn<$c;++Jn)El[Jn]=wi.createCube(bc)}for(Oa.color=Array(El.length),Jn=0;Jn<El.length;++Jn){var wc=El[Jn];_o=_o||wc.width,Oa.color[Jn]={target:yu,data:El[Jn]}}for(Jn=0;Jn<6;++Jn){for(var yf=0;yf<El.length;++yf)Oa.color[yf].target=yu+Jn;Jn>0&&(Oa.depth=Vn[0].depth,Oa.stencil=Vn[0].stencil,Oa.depthStencil=Vn[0].depthStencil),Vn[Jn]?Vn[Jn](Oa):Vn[Jn]=vn(Oa)}return e(ma,{width:_o,height:_o,color:El})}function ro(Ao){var Jn,Oa=Ao|0;if(Oa===ma.width)return ma;var _o=ma.color;for(Jn=0;Jn<_o.length;++Jn)_o[Jn].resize(Oa);for(Jn=0;Jn<6;++Jn)Vn[Jn].resize(Oa);return ma.width=ma.height=Oa,ma}return ma(Xn),e(ma,{faces:Vn,resize:ro,_reglType:\"framebufferCube\",destroy:function(){Vn.forEach(function(Ao){Ao.destroy()})}})}function aa(){Bi.cur=null,Bi.next=null,Bi.dirty=!0,ut(gn).forEach(function(Xn){Xn.framebuffer=At.createFramebuffer(),wn(Xn)})}return e(Bi,{getFramebuffer:function(Xn){if(typeof Xn==\"function\"&&Xn._reglType===\"framebuffer\"){var Vn=Xn._framebuffer;if(Vn instanceof ca)return Vn}return null},create:vn,createCube:Aa,clear:function(){ut(gn).forEach(Za)},restore:aa})}var md=5126,sh=34962,Fs=34963;function _u(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=md,this.offset=0,this.stride=0,this.divisor=0}function xu(At,Er,Wr,wi,Ui,Oi,Bi){for(var cn=Wr.maxAttributes,On=new Array(cn),Bn=0;Bn<cn;++Bn)On[Bn]=new _u;var yn=0,to={},Rn={Record:_u,scope:{},state:On,currentVAO:null,targetVAO:null,restore:fn()?Kn:function(){},createVAO:Za,getVAO:ji,destroyBuffer:Dn,setVAO:fn()?Ln:Un,clear:fn()?gn:function(){}};function Dn(wn){for(var vn=0;vn<On.length;++vn){var Aa=On[vn];Aa.buffer===wn&&(At.disableVertexAttribArray(vn),Aa.buffer=null)}}function fn(){return Er.oes_vertex_array_object}function Ai(){return Er.angle_instanced_arrays}function ji(wn){return typeof wn==\"function\"&&wn._vao?wn._vao:null}function Ln(wn){if(wn!==Rn.currentVAO){var vn=fn();wn?vn.bindVertexArrayOES(wn.vao):vn.bindVertexArrayOES(null),Rn.currentVAO=wn}}function Un(wn){if(wn!==Rn.currentVAO){if(wn)wn.bindAttrs();else{for(var vn=Ai(),Aa=0;Aa<On.length;++Aa){var aa=On[Aa];aa.buffer?(At.enableVertexAttribArray(Aa),aa.buffer.bind(),At.vertexAttribPointer(Aa,aa.size,aa.type,aa.normalized,aa.stride,aa.offfset),vn&&aa.divisor&&vn.vertexAttribDivisorANGLE(Aa,aa.divisor)):(At.disableVertexAttribArray(Aa),At.vertexAttrib4f(Aa,aa.x,aa.y,aa.z,aa.w))}Bi.elements?At.bindBuffer(Fs,Bi.elements.buffer.buffer):At.bindBuffer(Fs,null)}Rn.currentVAO=wn}}function gn(){ut(to).forEach(function(wn){wn.destroy()})}function ca(){this.id=++yn,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var wn=fn();wn?this.vao=wn.createVertexArrayOES():this.vao=null,to[this.id]=this,this.buffers=[]}ca.prototype.bindAttrs=function(){for(var wn=Ai(),vn=this.attributes,Aa=0;Aa<vn.length;++Aa){var aa=vn[Aa];aa.buffer?(At.enableVertexAttribArray(Aa),At.bindBuffer(sh,aa.buffer.buffer),At.vertexAttribPointer(Aa,aa.size,aa.type,aa.normalized,aa.stride,aa.offset),wn&&aa.divisor&&wn.vertexAttribDivisorANGLE(Aa,aa.divisor)):(At.disableVertexAttribArray(Aa),At.vertexAttrib4f(Aa,aa.x,aa.y,aa.z,aa.w))}for(var Xn=vn.length;Xn<cn;++Xn)At.disableVertexAttribArray(Xn);var Vn=Oi.getElements(this.elements);Vn?At.bindBuffer(Fs,Vn.buffer.buffer):At.bindBuffer(Fs,null)},ca.prototype.refresh=function(){var wn=fn();wn&&(wn.bindVertexArrayOES(this.vao),this.bindAttrs(),Rn.currentVAO=null,wn.bindVertexArrayOES(null))},ca.prototype.destroy=function(){if(this.vao){var wn=fn();this===Rn.currentVAO&&(Rn.currentVAO=null,wn.bindVertexArrayOES(null)),wn.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),to[this.id]&&(delete to[this.id],wi.vaoCount-=1)};function Kn(){var wn=fn();wn&&ut(to).forEach(function(vn){vn.refresh()})}function Za(wn){var vn=new ca;wi.vaoCount+=1;function Aa(aa){var Xn;if(Array.isArray(aa))Xn=aa,vn.elements&&vn.ownsElements&&vn.elements.destroy(),vn.elements=null,vn.ownsElements=!1,vn.offset=0,vn.count=0,vn.instances=-1,vn.primitive=4;else{if(aa.elements){var Vn=aa.elements;vn.ownsElements?typeof Vn==\"function\"&&Vn._reglType===\"elements\"?(vn.elements.destroy(),vn.ownsElements=!1):(vn.elements(Vn),vn.ownsElements=!1):Oi.getElements(aa.elements)?(vn.elements=aa.elements,vn.ownsElements=!1):(vn.elements=Oi.create(aa.elements),vn.ownsElements=!0)}else 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Ai=At.deleteShader.bind(At);ut(Ui).forEach(Ai),Ui={},ut(Oi).forEach(Ai),Oi={},yn.forEach(function(ji){At.deleteProgram(ji.program)}),yn.length=0,Bn={},Wr.shaderCount=0},program:function(Ai,ji,Ln,Un){var gn=Bn[ji];gn||(gn=Bn[ji]={});var ca=gn[Ai];if(ca&&(ca.refCount++,!Un))return ca;var Kn=new Rn(ji,Ai);return Wr.shaderCount++,Dn(Kn,Ln,Un),ca||(gn[Ai]=Kn),yn.push(Kn),e(Kn,{destroy:function(){if(Kn.refCount--,Kn.refCount<=0){At.deleteProgram(Kn.program);var Za=yn.indexOf(Kn);yn.splice(Za,1),Wr.shaderCount--}gn[Kn.vertId].refCount<=0&&(At.deleteShader(Oi[Kn.vertId]),delete Oi[Kn.vertId],delete Bn[Kn.fragId][Kn.vertId]),Object.keys(Bn[Kn.fragId]).length||(At.deleteShader(Ui[Kn.fragId]),delete Ui[Kn.fragId],delete Bn[Kn.fragId])}})},restore:fn,shader:On,frag:-1,vert:-1}}var Vf=6408,pc=5121,pf=3333,Ph=5126;function Rl(At,Er,Wr,wi,Ui,Oi,Bi){function cn(yn){var to;Er.next===null?to=pc:to=Er.next.colorAttachments[0].texture._texture.type;var 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Er=Ih?\"0123456789ABCDEF\":\"0123456789abcdef\",Wr=\"\",wi,Ui=0;Ui<At.length;Ui++)wi=At.charCodeAt(Ui),Wr+=Er.charAt(wi>>>4&15)+Er.charAt(wi&15);return Wr}function mc(At){for(var Er=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Wr=\"\",wi=At.length,Ui=0;Ui<wi;Ui+=3)for(var Oi=At.charCodeAt(Ui)<<16|(Ui+1<wi?At.charCodeAt(Ui+1)<<8:0)|(Ui+2<wi?At.charCodeAt(Ui+2):0),Bi=0;Bi<4;Bi++)Ui*8+Bi*6>At.length*8?Wr+=Wu:Wr+=Er.charAt(Oi>>>6*(3-Bi)&63);return Wr}function Yc(At,Er){var Wr=Er.length,wi=Array(),Ui,Oi,Bi,cn,On=Array(Math.ceil(At.length/2));for(Ui=0;Ui<On.length;Ui++)On[Ui]=At.charCodeAt(Ui*2)<<8|At.charCodeAt(Ui*2+1);for(;On.length>0;){for(cn=Array(),Bi=0,Ui=0;Ui<On.length;Ui++)Bi=(Bi<<16)+On[Ui],Oi=Math.floor(Bi/Wr),Bi-=Oi*Wr,(cn.length>0||Oi>0)&&(cn[cn.length]=Oi);wi[wi.length]=Bi,On=cn}var Bn=\"\";for(Ui=wi.length-1;Ui>=0;Ui--)Bn+=Er.charAt(wi[Ui]);var yn=Math.ceil(At.length*8/(Math.log(Er.length)/Math.log(2)));for(Ui=Bn.length;Ui<yn;Ui++)Bn=Er[0]+Bn;return 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ro={gl:At,context:Rn,strings:Er,next:Za,current:Kn,draw:to,elements:Oi,buffer:Ui,shader:yn,attributes:Bn.state,vao:Bn,uniforms:On,framebuffer:cn,extensions:Wr,timer:Dn,isBufferArgs:vi},Ao={primTypes:Ki,compareFuncs:qr,blendFuncs:ui,blendEquations:Ln,stencilOps:Kr,glTypes:bi,orientationType:ii};gn&&(Ao.backBuffer=[oe],Ao.drawBuffer=M(wi.maxDrawbuffers,function(vt){return vt===0?[0]:M(vt,function(Pt){return oi+Pt})}));var Jn=0;function Oa(){var vt=Pn({cache:fn}),Pt=vt.link,Wt=vt.global;vt.id=Jn++,vt.batchId=\"0\";var rr=Pt(ro),dr=vt.shared={props:\"a0\"};Object.keys(ro).forEach(function(Cr){dr[Cr]=Wt.def(rr,\".\",Cr)});var pr=vt.next={},kr=vt.current={};Object.keys(Aa).forEach(function(Cr){Array.isArray(Kn[Cr])&&(pr[Cr]=Wt.def(dr.next,\".\",Cr),kr[Cr]=Wt.def(dr.current,\".\",Cr))});var Ar=vt.constants={};Object.keys(Ao).forEach(function(Cr){Ar[Cr]=Wt.def(JSON.stringify(Ao[Cr]))}),vt.invoke=function(Cr,cr){switch(cr.type){case Cn:var Gr=[\"this\",dr.context,dr.props,vt.batchId];return Cr.def(Pt(cr.data),\".call(\",Gr.slice(0,Math.max(cr.data.length+1,4)),\")\");case sn:return Cr.def(dr.props,cr.data);case Ua:return Cr.def(dr.context,cr.data);case mo:return Cr.def(\"this\",cr.data);case Xo:return cr.data.append(vt,Cr),cr.data.ref;case Ts:return cr.data.toString();case Qo:return cr.data.map(function(ei){return vt.invoke(Cr,ei)})}},vt.attribCache={};var gr={};return vt.scopeAttrib=function(Cr){var cr=Er.id(Cr);if(cr in gr)return gr[cr];var Gr=Bn.scope[cr];Gr||(Gr=Bn.scope[cr]=new ji);var ei=gr[cr]=Pt(Gr);return ei},vt}function _o(vt){var Pt=vt.static,Wt=vt.dynamic,rr;if(se in Pt){var dr=!!Pt[se];rr=dn(function(kr,Ar){return dr}),rr.enable=dr}else if(se in Wt){var pr=Wt[se];rr=En(pr,function(kr,Ar){return kr.invoke(Ar,pr)})}return rr}function Po(vt,Pt){var Wt=vt.static,rr=vt.dynamic;if(qe in Wt){var dr=Wt[qe];return dr?(dr=cn.getFramebuffer(dr),dn(function(kr,Ar){var gr=kr.link(dr),Cr=kr.shared;Ar.set(Cr.framebuffer,\".next\",gr);var cr=Cr.context;return Ar.set(cr,\".\"+Oe,gr+\".width\"),Ar.set(cr,\".\"+Je,gr+\".height\"),gr})):dn(function(kr,Ar){var gr=kr.shared;Ar.set(gr.framebuffer,\".next\",\"null\");var Cr=gr.context;return Ar.set(Cr,\".\"+Oe,Cr+\".\"+Dt),Ar.set(Cr,\".\"+Je,Cr+\".\"+Ut),\"null\"})}else if(qe in rr){var pr=rr[qe];return En(pr,function(kr,Ar){var gr=kr.invoke(Ar,pr),Cr=kr.shared,cr=Cr.framebuffer,Gr=Ar.def(cr,\".getFramebuffer(\",gr,\")\");Ar.set(cr,\".next\",Gr);var ei=Cr.context;return Ar.set(ei,\".\"+Oe,Gr+\"?\"+Gr+\".width:\"+ei+\".\"+Dt),Ar.set(ei,\".\"+Je,Gr+\"?\"+Gr+\".height:\"+ei+\".\"+Ut),Gr})}else return null}function Jo(vt,Pt,Wt){var rr=vt.static,dr=vt.dynamic;function pr(gr){if(gr in rr){var Cr=rr[gr],cr=!0,Gr=Cr.x|0,ei=Cr.y|0,yi,tn;return\"width\"in Cr?yi=Cr.width|0:cr=!1,\"height\"in Cr?tn=Cr.height|0:cr=!1,new Jr(!cr&&Pt&&Pt.thisDep,!cr&&Pt&&Pt.contextDep,!cr&&Pt&&Pt.propDep,function(Qn,qn){var rn=Qn.shared.context,bn=yi;\"width\"in Cr||(bn=qn.def(rn,\".\",Oe,\"-\",Gr));var mn=tn;return\"height\"in 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Gr.def(Ri+\")\")}),{frag:kr,vert:Ar,progVar:Cr,program:gr}}function xs(vt,Pt){var Wt=vt.static,rr=vt.dynamic,dr={},pr=!1;function kr(){if(he in Wt){var qn=Wt[he];return qn!==null&&Bn.getVAO(qn)===null&&(qn=Bn.createVAO(qn)),pr=!0,dr.vao=qn,dn(function(bn){var mn=Bn.getVAO(qn);return mn?bn.link(mn):\"null\"})}else if(he in rr){pr=!0;var rn=rr[he];return En(rn,function(bn,mn){var Gn=bn.invoke(mn,rn);return mn.def(bn.shared.vao+\".getVAO(\"+Gn+\")\")})}return null}var Ar=kr(),gr=!1;function Cr(){if(yt in Wt){var qn=Wt[yt];if(dr.elements=qn,vi(qn)){var rn=dr.elements=Oi.create(qn,!0);qn=Oi.getElements(rn),gr=!0}else qn&&(qn=Oi.getElements(qn),gr=!0);var bn=dn(function(Gn,da){if(qn){var No=Gn.link(qn);return Gn.ELEMENTS=No,No}return Gn.ELEMENTS=null,null});return bn.value=qn,bn}else if(yt in rr){gr=!0;var mn=rr[yt];return En(mn,function(Gn,da){var No=Gn.shared,Do=No.isBufferArgs,ps=No.elements,fo=Gn.invoke(da,mn),as=da.def(\"null\"),tl=da.def(Do,\"(\",fo,\")\"),zu=Gn.cond(tl).then(as,\"=\",ps,\".createStream(\",fo,\");\").else(as,\"=\",ps,\".getElements(\",fo,\");\");return da.entry(zu),da.exit(Gn.cond(tl).then(ps,\".destroyStream(\",as,\");\")),Gn.ELEMENTS=as,as})}else if(pr)return new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(Gn,da){return da.def(Gn.shared.vao+\".currentVAO?\"+Gn.shared.elements+\".getElements(\"+Gn.shared.vao+\".currentVAO.elements):null\")});return null}var cr=Cr();function Gr(){if(Ot in Wt){var qn=Wt[Ot];return dr.primitive=qn,dn(function(bn,mn){return Ki[qn]})}else if(Ot in rr){var rn=rr[Ot];return En(rn,function(bn,mn){var Gn=bn.constants.primTypes,da=bn.invoke(mn,rn);return mn.def(Gn,\"[\",da,\"]\")})}else{if(gr)return un(cr)?cr.value?dn(function(bn,mn){return mn.def(bn.ELEMENTS,\".primType\")}):dn(function(){return zl}):new Jr(cr.thisDep,cr.contextDep,cr.propDep,function(bn,mn){var Gn=bn.ELEMENTS;return mn.def(Gn,\"?\",Gn,\".primType:\",zl)});if(pr)return new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(bn,mn){return mn.def(bn.shared.vao+\".currentVAO?\"+bn.shared.vao+\".currentVAO.primitive:\"+zl)})}return null}function ei(qn,rn){if(qn in Wt){var bn=Wt[qn]|0;return rn?dr.offset=bn:dr.instances=bn,dn(function(Gn,da){return rn&&(Gn.OFFSET=bn),bn})}else if(qn in rr){var mn=rr[qn];return En(mn,function(Gn,da){var No=Gn.invoke(da,mn);return rn&&(Gn.OFFSET=No),No})}else if(rn){if(gr)return dn(function(Gn,da){return Gn.OFFSET=0,0});if(pr)return new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(Gn,da){return da.def(Gn.shared.vao+\".currentVAO?\"+Gn.shared.vao+\".currentVAO.offset:0\")})}else if(pr)return new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(Gn,da){return da.def(Gn.shared.vao+\".currentVAO?\"+Gn.shared.vao+\".currentVAO.instances:-1\")});return null}var yi=ei(hr,!0);function tn(){if(Nt in Wt){var qn=Wt[Nt]|0;return dr.count=qn,dn(function(){return qn})}else if(Nt in rr){var rn=rr[Nt];return En(rn,function(da,No){var Do=da.invoke(No,rn);return Do})}else if(gr)if(un(cr)){if(cr)return yi?new Jr(yi.thisDep,yi.contextDep,yi.propDep,function(da,No){var Do=No.def(da.ELEMENTS,\".vertCount-\",da.OFFSET);return Do}):dn(function(da,No){return No.def(da.ELEMENTS,\".vertCount\")});var bn=dn(function(){return-1});return bn}else{var mn=new Jr(cr.thisDep||yi.thisDep,cr.contextDep||yi.contextDep,cr.propDep||yi.propDep,function(da,No){var Do=da.ELEMENTS;return da.OFFSET?No.def(Do,\"?\",Do,\".vertCount-\",da.OFFSET,\":-1\"):No.def(Do,\"?\",Do,\".vertCount:-1\")});return mn}else if(pr){var Gn=new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(da,No){return No.def(da.shared.vao,\".currentVAO?\",da.shared.vao,\".currentVAO.count:-1\")});return Gn}return null}var Ri=Gr(),ln=tn(),Qn=ei(Sr,!1);return{elements:cr,primitive:Ri,count:ln,instances:Qn,offset:yi,vao:Ar,vaoActive:pr,elementsActive:gr,static:dr}}function Qc(vt,Pt){var Wt=vt.static,rr=vt.dynamic,dr={};return wn.forEach(function(pr){var kr=aa(pr);function Ar(gr,Cr){if(pr in Wt){var cr=gr(Wt[pr]);dr[kr]=dn(function(){return cr})}else if(pr in rr){var Gr=rr[pr];dr[kr]=En(Gr,function(ei,yi){return Cr(ei,yi,ei.invoke(yi,Gr))})}}switch(pr){case Ru:case Bo:case ys:case Jc:case ia:case B:case Kc:case Dc:case Da:case Ko:return Ar(function(gr){return gr},function(gr,Cr,cr){return cr});case Ka:return Ar(function(gr){return qr[gr]},function(gr,Cr,cr){var Gr=gr.constants.compareFuncs;return Cr.def(Gr,\"[\",cr,\"]\")});case vs:return Ar(function(gr){return gr},function(gr,Cr,cr){var Gr=Cr.def(\"+\",cr,\"[0]\"),ei=Cr.def(\"+\",cr,\"[1]\");return[Gr,ei]});case Rs:return Ar(function(gr){var Cr=\"srcRGB\"in gr?gr.srcRGB:gr.src,cr=\"srcAlpha\"in gr?gr.srcAlpha:gr.src,Gr=\"dstRGB\"in gr?gr.dstRGB:gr.dst,ei=\"dstAlpha\"in gr?gr.dstAlpha:gr.dst;return[ui[Cr],ui[Gr],ui[cr],ui[ei]]},function(gr,Cr,cr){var Gr=gr.constants.blendFuncs;function ei(rn,bn){var mn=Cr.def('\"',rn,bn,'\" in ',cr,\"?\",cr,\".\",rn,bn,\":\",cr,\".\",rn);return mn}var yi=ei(\"src\",\"RGB\"),tn=ei(\"dst\",\"RGB\"),Ri=Cr.def(Gr,\"[\",yi,\"]\"),ln=Cr.def(Gr,\"[\",ei(\"src\",\"Alpha\"),\"]\"),Qn=Cr.def(Gr,\"[\",tn,\"]\"),qn=Cr.def(Gr,\"[\",ei(\"dst\",\"Alpha\"),\"]\");return[Ri,Qn,ln,qn]});case Gs:return Ar(function(gr){if(typeof gr==\"string\")return[Ln[gr],Ln[gr]];if(typeof gr==\"object\")return[Ln[gr.rgb],Ln[gr.alpha]]},function(gr,Cr,cr){var Gr=gr.constants.blendEquations,ei=Cr.def(),yi=Cr.def(),tn=gr.cond(\"typeof \",cr,'===\"string\"');return tn.then(ei,\"=\",yi,\"=\",Gr,\"[\",cr,\"];\"),tn.else(ei,\"=\",Gr,\"[\",cr,\".rgb];\",yi,\"=\",Gr,\"[\",cr,\".alpha];\"),Cr(tn),[ei,yi]});case yl:return Ar(function(gr){return M(4,function(Cr){return+gr[Cr]})},function(gr,Cr,cr){return M(4,function(Gr){return Cr.def(\"+\",cr,\"[\",Gr,\"]\")})});case yc:return Ar(function(gr){return gr|0},function(gr,Cr,cr){return Cr.def(cr,\"|0\")});case _c:return Ar(function(gr){var Cr=gr.cmp||\"keep\",cr=gr.ref||0,Gr=\"mask\"in gr?gr.mask:-1;return[qr[Cr],cr,Gr]},function(gr,Cr,cr){var Gr=gr.constants.compareFuncs,ei=Cr.def('\"cmp\" in ',cr,\"?\",Gr,\"[\",cr,\".cmp]\",\":\",tt),yi=Cr.def(cr,\".ref|0\"),tn=Cr.def('\"mask\" in ',cr,\"?\",cr,\".mask|0:-1\");return[ei,yi,tn]});case le:case w:return Ar(function(gr){var Cr=gr.fail||\"keep\",cr=gr.zfail||\"keep\",Gr=gr.zpass||\"keep\";return[pr===w?oe:Z,Kr[Cr],Kr[cr],Kr[Gr]]},function(gr,Cr,cr){var Gr=gr.constants.stencilOps;function ei(yi){return Cr.def('\"',yi,'\" in ',cr,\"?\",Gr,\"[\",cr,\".\",yi,\"]:\",tt)}return[pr===w?oe:Z,ei(\"fail\"),ei(\"zfail\"),ei(\"zpass\")]});case Du:return Ar(function(gr){var Cr=gr.factor|0,cr=gr.units|0;return[Cr,cr]},function(gr,Cr,cr){var Gr=Cr.def(cr,\".factor|0\"),ei=Cr.def(cr,\".units|0\");return[Gr,ei]});case ac:return Ar(function(gr){var Cr=0;return gr===\"front\"?Cr=Z:gr===\"back\"&&(Cr=oe),Cr},function(gr,Cr,cr){return Cr.def(cr,'===\"front\"?',Z,\":\",oe)});case bu:return Ar(function(gr){return gr},function(gr,Cr,cr){return cr});case mf:return Ar(function(gr){return ii[gr]},function(gr,Cr,cr){return Cr.def(cr+'===\"cw\"?'+we+\":\"+Be)});case iu:return Ar(function(gr){return gr.map(function(Cr){return!!Cr})},function(gr,Cr,cr){return M(4,function(Gr){return\"!!\"+cr+\"[\"+Gr+\"]\"})});case eo:return Ar(function(gr){var Cr=\"value\"in gr?gr.value:1,cr=!!gr.invert;return[Cr,cr]},function(gr,Cr,cr){var Gr=Cr.def('\"value\" in ',cr,\"?+\",cr,\".value:1\"),ei=Cr.def(\"!!\",cr,\".invert\");return[Gr,ei]})}}),dr}function El(vt,Pt){var Wt=vt.static,rr=vt.dynamic,dr={};return Object.keys(Wt).forEach(function(pr){var kr=Wt[pr],Ar;if(typeof kr==\"number\"||typeof kr==\"boolean\")Ar=dn(function(){return kr});else if(typeof kr==\"function\"){var gr=kr._reglType;gr===\"texture2d\"||gr===\"textureCube\"?Ar=dn(function(Cr){return Cr.link(kr)}):(gr===\"framebuffer\"||gr===\"framebufferCube\")&&(Ar=dn(function(Cr){return Cr.link(kr.color[0])}))}else an(kr)&&(Ar=dn(function(Cr){var cr=Cr.global.def(\"[\",M(kr.length,function(Gr){return kr[Gr]}),\"]\");return cr}));Ar.value=kr,dr[pr]=Ar}),Object.keys(rr).forEach(function(pr){var kr=rr[pr];dr[pr]=En(kr,function(Ar,gr){return Ar.invoke(gr,kr)})}),dr}function bc(vt,Pt){var Wt=vt.static,rr=vt.dynamic,dr={};return Object.keys(Wt).forEach(function(pr){var kr=Wt[pr],Ar=Er.id(pr),gr=new ji;if(vi(kr))gr.state=Ea,gr.buffer=Ui.getBuffer(Ui.create(kr,mr,!1,!0)),gr.type=0;else{var Cr=Ui.getBuffer(kr);if(Cr)gr.state=Ea,gr.buffer=Cr,gr.type=0;else if(\"constant\"in kr){var cr=kr.constant;gr.buffer=\"null\",gr.state=qa,typeof cr==\"number\"?gr.x=cr:Ma.forEach(function(Qn,qn){qn<cr.length&&(gr[Qn]=cr[qn])})}else{vi(kr.buffer)?Cr=Ui.getBuffer(Ui.create(kr.buffer,mr,!1,!0)):Cr=Ui.getBuffer(kr.buffer);var Gr=kr.offset|0,ei=kr.stride|0,yi=kr.size|0,tn=!!kr.normalized,Ri=0;\"type\"in kr&&(Ri=bi[kr.type]);var ln=kr.divisor|0;gr.buffer=Cr,gr.state=Ea,gr.size=yi,gr.normalized=tn,gr.type=Ri||Cr.dtype,gr.offset=Gr,gr.stride=ei,gr.divisor=ln}}dr[pr]=dn(function(Qn,qn){var rn=Qn.attribCache;if(Ar in rn)return rn[Ar];var bn={isStream:!1};return Object.keys(gr).forEach(function(mn){bn[mn]=gr[mn]}),gr.buffer&&(bn.buffer=Qn.link(gr.buffer),bn.type=bn.type||bn.buffer+\".dtype\"),rn[Ar]=bn,bn})}),Object.keys(rr).forEach(function(pr){var kr=rr[pr];function Ar(gr,Cr){var cr=gr.invoke(Cr,kr),Gr=gr.shared,ei=gr.constants,yi=Gr.isBufferArgs,tn=Gr.buffer,Ri={isStream:Cr.def(!1)},ln=new ji;ln.state=Ea,Object.keys(ln).forEach(function(bn){Ri[bn]=Cr.def(\"\"+ln[bn])});var Qn=Ri.buffer,qn=Ri.type;Cr(\"if(\",yi,\"(\",cr,\")){\",Ri.isStream,\"=true;\",Qn,\"=\",tn,\".createStream(\",mr,\",\",cr,\");\",qn,\"=\",Qn,\".dtype;\",\"}else{\",Qn,\"=\",tn,\".getBuffer(\",cr,\");\",\"if(\",Qn,\"){\",qn,\"=\",Qn,\".dtype;\",'}else if(\"constant\" in ',cr,\"){\",Ri.state,\"=\",qa,\";\",\"if(typeof \"+cr+'.constant === \"number\"){',Ri[Ma[0]],\"=\",cr,\".constant;\",Ma.slice(1).map(function(bn){return Ri[bn]}).join(\"=\"),\"=0;\",\"}else{\",Ma.map(function(bn,mn){return Ri[bn]+\"=\"+cr+\".constant.length>\"+mn+\"?\"+cr+\".constant[\"+mn+\"]:0;\"}).join(\"\"),\"}}else{\",\"if(\",yi,\"(\",cr,\".buffer)){\",Qn,\"=\",tn,\".createStream(\",mr,\",\",cr,\".buffer);\",\"}else{\",Qn,\"=\",tn,\".getBuffer(\",cr,\".buffer);\",\"}\",qn,'=\"type\" in ',cr,\"?\",ei.glTypes,\"[\",cr,\".type]:\",Qn,\".dtype;\",Ri.normalized,\"=!!\",cr,\".normalized;\");function rn(bn){Cr(Ri[bn],\"=\",cr,\".\",bn,\"|0;\")}return rn(\"size\"),rn(\"offset\"),rn(\"stride\"),rn(\"divisor\"),Cr(\"}}\"),Cr.exit(\"if(\",Ri.isStream,\"){\",tn,\".destroyStream(\",Qn,\");\",\"}\"),Ri}dr[pr]=En(kr,Ar)}),dr}function wc(vt){var Pt=vt.static,Wt=vt.dynamic,rr={};return Object.keys(Pt).forEach(function(dr){var pr=Pt[dr];rr[dr]=dn(function(kr,Ar){return typeof pr==\"number\"||typeof pr==\"boolean\"?\"\"+pr:kr.link(pr)})}),Object.keys(Wt).forEach(function(dr){var pr=Wt[dr];rr[dr]=En(pr,function(kr,Ar){return kr.invoke(Ar,pr)})}),rr}function yf(vt,Pt,Wt,rr,dr){var pr=vt.static,kr=vt.dynamic,Ar=Xl(vt,Pt),gr=Po(vt,dr),Cr=Jo(vt,gr,dr),cr=xs(vt,dr),Gr=Qc(vt,dr),ei=$c(vt,dr,Ar);function yi(rn){var bn=Cr[rn];bn&&(Gr[rn]=bn)}yi(ee),yi(aa(Q));var tn=Object.keys(Gr).length>0,Ri={framebuffer:gr,draw:cr,shader:ei,state:Gr,dirty:tn,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(Ri.profile=_o(vt,dr),Ri.uniforms=El(Wt,dr),Ri.drawVAO=Ri.scopeVAO=cr.vao,!Ri.drawVAO&&ei.program&&!Ar&&Wr.angle_instanced_arrays&&cr.static.elements){var ln=!0,Qn=ei.program.attributes.map(function(rn){var bn=Pt.static[rn];return ln=ln&&!!bn,bn});if(ln&&Qn.length>0){var qn=Bn.getVAO(Bn.createVAO({attributes:Qn,elements:cr.static.elements}));Ri.drawVAO=new Jr(null,null,null,function(rn,bn){return rn.link(qn)}),Ri.useVAO=!0}}return Ar?Ri.useVAO=!0:Ri.attributes=bc(Pt,dr),Ri.context=wc(rr,dr),Ri}function Hl(vt,Pt,Wt){var rr=vt.shared,dr=rr.context,pr=vt.scope();Object.keys(Wt).forEach(function(kr){Pt.save(dr,\".\"+kr);var Ar=Wt[kr],gr=Ar.append(vt,Pt);Array.isArray(gr)?pr(dr,\".\",kr,\"=[\",gr.join(),\"];\"):pr(dr,\".\",kr,\"=\",gr,\";\")}),Pt(pr)}function Fc(vt,Pt,Wt,rr){var dr=vt.shared,pr=dr.gl,kr=dr.framebuffer,Ar;gn&&(Ar=Pt.def(dr.extensions,\".webgl_draw_buffers\"));var gr=vt.constants,Cr=gr.drawBuffer,cr=gr.backBuffer,Gr;Wt?Gr=Wt.append(vt,Pt):Gr=Pt.def(kr,\".next\"),rr||Pt(\"if(\",Gr,\"!==\",kr,\".cur){\"),Pt(\"if(\",Gr,\"){\",pr,\".bindFramebuffer(\",Ir,\",\",Gr,\".framebuffer);\"),gn&&Pt(Ar,\".drawBuffersWEBGL(\",Cr,\"[\",Gr,\".colorAttachments.length]);\"),Pt(\"}else{\",pr,\".bindFramebuffer(\",Ir,\",null);\"),gn&&Pt(Ar,\".drawBuffersWEBGL(\",cr,\");\"),Pt(\"}\",kr,\".cur=\",Gr,\";\"),rr||Pt(\"}\")}function ef(vt,Pt,Wt){var rr=vt.shared,dr=rr.gl,pr=vt.current,kr=vt.next,Ar=rr.current,gr=rr.next,Cr=vt.cond(Ar,\".dirty\");wn.forEach(function(cr){var Gr=aa(cr);if(!(Gr in Wt.state)){var ei,yi;if(Gr in kr){ei=kr[Gr],yi=pr[Gr];var tn=M(Kn[Gr].length,function(ln){return Cr.def(ei,\"[\",ln,\"]\")});Cr(vt.cond(tn.map(function(ln,Qn){return ln+\"!==\"+yi+\"[\"+Qn+\"]\"}).join(\"||\")).then(dr,\".\",Aa[Gr],\"(\",tn,\");\",tn.map(function(ln,Qn){return yi+\"[\"+Qn+\"]=\"+ln}).join(\";\"),\";\"))}else{ei=Cr.def(gr,\".\",Gr);var Ri=vt.cond(ei,\"!==\",Ar,\".\",Gr);Cr(Ri),Gr in vn?Ri(vt.cond(ei).then(dr,\".enable(\",vn[Gr],\");\").else(dr,\".disable(\",vn[Gr],\");\"),Ar,\".\",Gr,\"=\",ei,\";\"):Ri(dr,\".\",Aa[Gr],\"(\",ei,\");\",Ar,\".\",Gr,\"=\",ei,\";\")}}}),Object.keys(Wt.state).length===0&&Cr(Ar,\".dirty=false;\"),Pt(Cr)}function ls(vt,Pt,Wt,rr){var dr=vt.shared,pr=vt.current,kr=dr.current,Ar=dr.gl,gr;ci(Object.keys(Wt)).forEach(function(Cr){var cr=Wt[Cr];if(!(rr&&!rr(cr))){var Gr=cr.append(vt,Pt);if(vn[Cr]){var ei=vn[Cr];un(cr)?(gr=vt.link(Gr,{stable:!0}),Pt(vt.cond(gr).then(Ar,\".enable(\",ei,\");\").else(Ar,\".disable(\",ei,\");\")),Pt(kr,\".\",Cr,\"=\",gr,\";\")):(Pt(vt.cond(Gr).then(Ar,\".enable(\",ei,\");\").else(Ar,\".disable(\",ei,\");\")),Pt(kr,\".\",Cr,\"=\",Gr,\";\"))}else if(an(Gr)){var yi=pr[Cr];Pt(Ar,\".\",Aa[Cr],\"(\",Gr,\");\",Gr.map(function(tn,Ri){return yi+\"[\"+Ri+\"]=\"+tn}).join(\";\"),\";\")}else un(cr)?(gr=vt.link(Gr,{stable:!0}),Pt(Ar,\".\",Aa[Cr],\"(\",gr,\");\",kr,\".\",Cr,\"=\",gr,\";\")):Pt(Ar,\".\",Aa[Cr],\"(\",Gr,\");\",kr,\".\",Cr,\"=\",Gr,\";\")}})}function _f(vt,Pt){Un&&(vt.instancing=Pt.def(vt.shared.extensions,\".angle_instanced_arrays\"))}function ns(vt,Pt,Wt,rr,dr){var pr=vt.shared,kr=vt.stats,Ar=pr.current,gr=pr.timer,Cr=Wt.profile;function cr(){return typeof performance==\"undefined\"?\"Date.now()\":\"performance.now()\"}var Gr,ei;function yi(rn){Gr=Pt.def(),rn(Gr,\"=\",cr(),\";\"),typeof dr==\"string\"?rn(kr,\".count+=\",dr,\";\"):rn(kr,\".count++;\"),Dn&&(rr?(ei=Pt.def(),rn(ei,\"=\",gr,\".getNumPendingQueries();\")):rn(gr,\".beginQuery(\",kr,\");\"))}function tn(rn){rn(kr,\".cpuTime+=\",cr(),\"-\",Gr,\";\"),Dn&&(rr?rn(gr,\".pushScopeStats(\",ei,\",\",gr,\".getNumPendingQueries(),\",kr,\");\"):rn(gr,\".endQuery();\"))}function Ri(rn){var bn=Pt.def(Ar,\".profile\");Pt(Ar,\".profile=\",rn,\";\"),Pt.exit(Ar,\".profile=\",bn,\";\")}var ln;if(Cr){if(un(Cr)){Cr.enable?(yi(Pt),tn(Pt.exit),Ri(\"true\")):Ri(\"false\");return}ln=Cr.append(vt,Pt),Ri(ln)}else ln=Pt.def(Ar,\".profile\");var Qn=vt.block();yi(Qn),Pt(\"if(\",ln,\"){\",Qn,\"}\");var qn=vt.block();tn(qn),Pt.exit(\"if(\",ln,\"){\",qn,\"}\")}function Y(vt,Pt,Wt,rr,dr){var pr=vt.shared;function kr(gr){switch(gr){case To:case Ds:case _l:return 2;case Wa:case As:case Vl:return 3;case co:case yo:case Zu:return 4;default:return 1}}function Ar(gr,Cr,cr){var Gr=pr.gl,ei=Pt.def(gr,\".location\"),yi=Pt.def(pr.attributes,\"[\",ei,\"]\"),tn=cr.state,Ri=cr.buffer,ln=[cr.x,cr.y,cr.z,cr.w],Qn=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function qn(){Pt(\"if(!\",yi,\".buffer){\",Gr,\".enableVertexAttribArray(\",ei,\");}\");var bn=cr.type,mn;if(cr.size?mn=Pt.def(cr.size,\"||\",Cr):mn=Cr,Pt(\"if(\",yi,\".type!==\",bn,\"||\",yi,\".size!==\",mn,\"||\",Qn.map(function(da){return yi+\".\"+da+\"!==\"+cr[da]}).join(\"||\"),\"){\",Gr,\".bindBuffer(\",mr,\",\",Ri,\".buffer);\",Gr,\".vertexAttribPointer(\",[ei,mn,bn,cr.normalized,cr.stride,cr.offset],\");\",yi,\".type=\",bn,\";\",yi,\".size=\",mn,\";\",Qn.map(function(da){return yi+\".\"+da+\"=\"+cr[da]+\";\"}).join(\"\"),\"}\"),Un){var Gn=cr.divisor;Pt(\"if(\",yi,\".divisor!==\",Gn,\"){\",vt.instancing,\".vertexAttribDivisorANGLE(\",[ei,Gn],\");\",yi,\".divisor=\",Gn,\";}\")}}function rn(){Pt(\"if(\",yi,\".buffer){\",Gr,\".disableVertexAttribArray(\",ei,\");\",yi,\".buffer=null;\",\"}if(\",Ma.map(function(bn,mn){return yi+\".\"+bn+\"!==\"+ln[mn]}).join(\"||\"),\"){\",Gr,\".vertexAttrib4f(\",ei,\",\",ln,\");\",Ma.map(function(bn,mn){return yi+\".\"+bn+\"=\"+ln[mn]+\";\"}).join(\"\"),\"}\")}tn===Ea?qn():tn===qa?rn():(Pt(\"if(\",tn,\"===\",Ea,\"){\"),qn(),Pt(\"}else{\"),rn(),Pt(\"}\"))}rr.forEach(function(gr){var Cr=gr.name,cr=Wt.attributes[Cr],Gr;if(cr){if(!dr(cr))return;Gr=cr.append(vt,Pt)}else{if(!dr(Nn))return;var ei=vt.scopeAttrib(Cr);Gr={},Object.keys(new ji).forEach(function(yi){Gr[yi]=Pt.def(ei,\".\",yi)})}Ar(vt.link(gr),kr(gr.info.type),Gr)})}function z(vt,Pt,Wt,rr,dr,pr){for(var kr=vt.shared,Ar=kr.gl,gr,Cr=0;Cr<rr.length;++Cr){var cr=rr[Cr],Gr=cr.name,ei=cr.info.type,yi=Wt.uniforms[Gr],tn=vt.link(cr),Ri=tn+\".location\",ln;if(yi){if(!dr(yi))continue;if(un(yi)){var Qn=yi.value;if(ei===zc||ei===Dl){var qn=vt.link(Qn._texture||Qn.color[0]._texture);Pt(Ar,\".uniform1i(\",Ri,\",\",qn+\".bind());\"),Pt.exit(qn,\".unbind();\")}else if(ei===cu||ei===el||ei===nu){var rn=vt.global.def(\"new Float32Array([\"+Array.prototype.slice.call(Qn)+\"])\"),bn=2;ei===el?bn=3:ei===nu&&(bn=4),Pt(Ar,\".uniformMatrix\",bn,\"fv(\",Ri,\",false,\",rn,\");\")}else{switch(ei){case Ga:gr=\"1f\";break;case To:gr=\"2f\";break;case Wa:gr=\"3f\";break;case co:gr=\"4f\";break;case po:gr=\"1i\";break;case Ro:gr=\"1i\";break;case _l:gr=\"2i\";break;case Ds:gr=\"2i\";break;case Vl:gr=\"3i\";break;case As:gr=\"3i\";break;case Zu:gr=\"4i\";break;case yo:gr=\"4i\";break}Pt(Ar,\".uniform\",gr,\"(\",Ri,\",\",an(Qn)?Array.prototype.slice.call(Qn):Qn,\");\")}continue}else ln=yi.append(vt,Pt)}else{if(!dr(Nn))continue;ln=Pt.def(kr.uniforms,\"[\",Er.id(Gr),\"]\")}ei===zc?Pt(\"if(\",ln,\"&&\",ln,'._reglType===\"framebuffer\"){',ln,\"=\",ln,\".color[0];\",\"}\"):ei===Dl&&Pt(\"if(\",ln,\"&&\",ln,'._reglType===\"framebufferCube\"){',ln,\"=\",ln,\".color[0];\",\"}\");var mn=1;switch(ei){case zc:case Dl:var Gn=Pt.def(ln,\"._texture\");Pt(Ar,\".uniform1i(\",Ri,\",\",Gn,\".bind());\"),Pt.exit(Gn,\".unbind();\");continue;case Ro:case po:gr=\"1i\";break;case Ds:case _l:gr=\"2i\",mn=2;break;case As:case Vl:gr=\"3i\",mn=3;break;case yo:case Zu:gr=\"4i\",mn=4;break;case Ga:gr=\"1f\";break;case To:gr=\"2f\",mn=2;break;case Wa:gr=\"3f\",mn=3;break;case co:gr=\"4f\",mn=4;break;case cu:gr=\"Matrix2fv\";break;case el:gr=\"Matrix3fv\";break;case nu:gr=\"Matrix4fv\";break}if(gr.charAt(0)===\"M\"){Pt(Ar,\".uniform\",gr,\"(\",Ri,\",\");var da=Math.pow(ei-cu+2,2),No=vt.global.def(\"new Float32Array(\",da,\")\");Array.isArray(ln)?Pt(\"false,(\",M(da,function(tl){return No+\"[\"+tl+\"]=\"+ln[tl]}),\",\",No,\")\"):Pt(\"false,(Array.isArray(\",ln,\")||\",ln,\" instanceof Float32Array)?\",ln,\":(\",M(da,function(tl){return No+\"[\"+tl+\"]=\"+ln+\"[\"+tl+\"]\"}),\",\",No,\")\"),Pt(\");\")}else if(mn>1){for(var Do=[],ps=[],fo=0;fo<mn;++fo)Array.isArray(ln)?ps.push(ln[fo]):ps.push(Pt.def(ln+\"[\"+fo+\"]\")),pr&&Do.push(Pt.def());pr&&Pt(\"if(!\",vt.batchId,\"||\",Do.map(function(tl,zu){return tl+\"!==\"+ps[zu]}).join(\"||\"),\"){\",Do.map(function(tl,zu){return tl+\"=\"+ps[zu]+\";\"}).join(\"\")),Pt(Ar,\".uniform\",gr,\"(\",Ri,\",\",ps.join(\",\"),\");\"),pr&&Pt(\"}\")}else{if(pr){var as=Pt.def();Pt(\"if(!\",vt.batchId,\"||\",as,\"!==\",ln,\"){\",as,\"=\",ln,\";\")}Pt(Ar,\".uniform\",gr,\"(\",Ri,\",\",ln,\");\"),pr&&Pt(\"}\")}}}function K(vt,Pt,Wt,rr){var dr=vt.shared,pr=dr.gl,kr=dr.draw,Ar=rr.draw;function gr(){var mn=Ar.elements,Gn,da=Pt;return mn?((mn.contextDep&&rr.contextDynamic||mn.propDep)&&(da=Wt),Gn=mn.append(vt,da),Ar.elementsActive&&da(\"if(\"+Gn+\")\"+pr+\".bindBuffer(\"+Rr+\",\"+Gn+\".buffer.buffer);\")):(Gn=da.def(),da(Gn,\"=\",kr,\".\",yt,\";\",\"if(\",Gn,\"){\",pr,\".bindBuffer(\",Rr,\",\",Gn,\".buffer.buffer);}\",\"else if(\",dr.vao,\".currentVAO){\",Gn,\"=\",vt.shared.elements+\".getElements(\"+dr.vao,\".currentVAO.elements);\",ca?\"\":\"if(\"+Gn+\")\"+pr+\".bindBuffer(\"+Rr+\",\"+Gn+\".buffer.buffer);\",\"}\")),Gn}function Cr(){var mn=Ar.count,Gn,da=Pt;return mn?((mn.contextDep&&rr.contextDynamic||mn.propDep)&&(da=Wt),Gn=mn.append(vt,da)):Gn=da.def(kr,\".\",Nt),Gn}var cr=gr();function Gr(mn){var Gn=Ar[mn];return Gn?Gn.contextDep&&rr.contextDynamic||Gn.propDep?Gn.append(vt,Wt):Gn.append(vt,Pt):Pt.def(kr,\".\",mn)}var ei=Gr(Ot),yi=Gr(hr),tn=Cr();if(typeof tn==\"number\"){if(tn===0)return}else Wt(\"if(\",tn,\"){\"),Wt.exit(\"}\");var Ri,ln;Un&&(Ri=Gr(Sr),ln=vt.instancing);var Qn=cr+\".type\",qn=Ar.elements&&un(Ar.elements)&&!Ar.vaoActive;function rn(){function mn(){Wt(ln,\".drawElementsInstancedANGLE(\",[ei,tn,Qn,yi+\"<<((\"+Qn+\"-\"+Ta+\")>>1)\",Ri],\");\")}function Gn(){Wt(ln,\".drawArraysInstancedANGLE(\",[ei,yi,tn,Ri],\");\")}cr&&cr!==\"null\"?qn?mn():(Wt(\"if(\",cr,\"){\"),mn(),Wt(\"}else{\"),Gn(),Wt(\"}\")):Gn()}function bn(){function mn(){Wt(pr+\".drawElements(\"+[ei,tn,Qn,yi+\"<<((\"+Qn+\"-\"+Ta+\")>>1)\"]+\");\")}function Gn(){Wt(pr+\".drawArrays(\"+[ei,yi,tn]+\");\")}cr&&cr!==\"null\"?qn?mn():(Wt(\"if(\",cr,\"){\"),mn(),Wt(\"}else{\"),Gn(),Wt(\"}\")):Gn()}Un&&(typeof Ri!=\"number\"||Ri>=0)?typeof Ri==\"string\"?(Wt(\"if(\",Ri,\">0){\"),rn(),Wt(\"}else if(\",Ri,\"<0){\"),bn(),Wt(\"}\")):rn():bn()}function O(vt,Pt,Wt,rr,dr){var pr=Oa(),kr=pr.proc(\"body\",dr);return Un&&(pr.instancing=kr.def(pr.shared.extensions,\".angle_instanced_arrays\")),vt(pr,kr,Wt,rr),pr.compile().body}function $(vt,Pt,Wt,rr){_f(vt,Pt),Wt.useVAO?Wt.drawVAO?Pt(vt.shared.vao,\".setVAO(\",Wt.drawVAO.append(vt,Pt),\");\"):Pt(vt.shared.vao,\".setVAO(\",vt.shared.vao,\".targetVAO);\"):(Pt(vt.shared.vao,\".setVAO(null);\"),Y(vt,Pt,Wt,rr.attributes,function(){return!0})),z(vt,Pt,Wt,rr.uniforms,function(){return!0},!1),K(vt,Pt,Pt,Wt)}function pe(vt,Pt){var Wt=vt.proc(\"draw\",1);_f(vt,Wt),Hl(vt,Wt,Pt.context),Fc(vt,Wt,Pt.framebuffer),ef(vt,Wt,Pt),ls(vt,Wt,Pt.state),ns(vt,Wt,Pt,!1,!0);var rr=Pt.shader.progVar.append(vt,Wt);if(Wt(vt.shared.gl,\".useProgram(\",rr,\".program);\"),Pt.shader.program)$(vt,Wt,Pt,Pt.shader.program);else{Wt(vt.shared.vao,\".setVAO(null);\");var dr=vt.global.def(\"{}\"),pr=Wt.def(rr,\".id\"),kr=Wt.def(dr,\"[\",pr,\"]\");Wt(vt.cond(kr).then(kr,\".call(this,a0);\").else(kr,\"=\",dr,\"[\",pr,\"]=\",vt.link(function(Ar){return O($,vt,Pt,Ar,1)}),\"(\",rr,\");\",kr,\".call(this,a0);\"))}Object.keys(Pt.state).length>0&&Wt(vt.shared.current,\".dirty=true;\"),vt.shared.vao&&Wt(vt.shared.vao,\".setVAO(null);\")}function de(vt,Pt,Wt,rr){vt.batchId=\"a1\",_f(vt,Pt);function dr(){return!0}Y(vt,Pt,Wt,rr.attributes,dr),z(vt,Pt,Wt,rr.uniforms,dr,!1),K(vt,Pt,Pt,Wt)}function Ie(vt,Pt,Wt,rr){_f(vt,Pt);var dr=Wt.contextDep,pr=Pt.def(),kr=\"a0\",Ar=\"a1\",gr=Pt.def();vt.shared.props=gr,vt.batchId=pr;var Cr=vt.scope(),cr=vt.scope();Pt(Cr.entry,\"for(\",pr,\"=0;\",pr,\"<\",Ar,\";++\",pr,\"){\",gr,\"=\",kr,\"[\",pr,\"];\",cr,\"}\",Cr.exit);function Gr(Qn){return Qn.contextDep&&dr||Qn.propDep}function ei(Qn){return!Gr(Qn)}if(Wt.needsContext&&Hl(vt,cr,Wt.context),Wt.needsFramebuffer&&Fc(vt,cr,Wt.framebuffer),ls(vt,cr,Wt.state,Gr),Wt.profile&&Gr(Wt.profile)&&ns(vt,cr,Wt,!1,!0),rr)Wt.useVAO?Wt.drawVAO?Gr(Wt.drawVAO)?cr(vt.shared.vao,\".setVAO(\",Wt.drawVAO.append(vt,cr),\");\"):Cr(vt.shared.vao,\".setVAO(\",Wt.drawVAO.append(vt,Cr),\");\"):Cr(vt.shared.vao,\".setVAO(\",vt.shared.vao,\".targetVAO);\"):(Cr(vt.shared.vao,\".setVAO(null);\"),Y(vt,Cr,Wt,rr.attributes,ei),Y(vt,cr,Wt,rr.attributes,Gr)),z(vt,Cr,Wt,rr.uniforms,ei,!1),z(vt,cr,Wt,rr.uniforms,Gr,!0),K(vt,Cr,cr,Wt);else{var yi=vt.global.def(\"{}\"),tn=Wt.shader.progVar.append(vt,cr),Ri=cr.def(tn,\".id\"),ln=cr.def(yi,\"[\",Ri,\"]\");cr(vt.shared.gl,\".useProgram(\",tn,\".program);\",\"if(!\",ln,\"){\",ln,\"=\",yi,\"[\",Ri,\"]=\",vt.link(function(Qn){return O(de,vt,Wt,Qn,2)}),\"(\",tn,\");}\",ln,\".call(this,a0[\",pr,\"],\",pr,\");\")}}function $e(vt,Pt){var Wt=vt.proc(\"batch\",2);vt.batchId=\"0\",_f(vt,Wt);var rr=!1,dr=!0;Object.keys(Pt.context).forEach(function(yi){rr=rr||Pt.context[yi].propDep}),rr||(Hl(vt,Wt,Pt.context),dr=!1);var pr=Pt.framebuffer,kr=!1;pr?(pr.propDep?rr=kr=!0:pr.contextDep&&rr&&(kr=!0),kr||Fc(vt,Wt,pr)):Fc(vt,Wt,null),Pt.state.viewport&&Pt.state.viewport.propDep&&(rr=!0);function Ar(yi){return yi.contextDep&&rr||yi.propDep}ef(vt,Wt,Pt),ls(vt,Wt,Pt.state,function(yi){return!Ar(yi)}),(!Pt.profile||!Ar(Pt.profile))&&ns(vt,Wt,Pt,!1,\"a1\"),Pt.contextDep=rr,Pt.needsContext=dr,Pt.needsFramebuffer=kr;var gr=Pt.shader.progVar;if(gr.contextDep&&rr||gr.propDep)Ie(vt,Wt,Pt,null);else{var Cr=gr.append(vt,Wt);if(Wt(vt.shared.gl,\".useProgram(\",Cr,\".program);\"),Pt.shader.program)Ie(vt,Wt,Pt,Pt.shader.program);else{Wt(vt.shared.vao,\".setVAO(null);\");var cr=vt.global.def(\"{}\"),Gr=Wt.def(Cr,\".id\"),ei=Wt.def(cr,\"[\",Gr,\"]\");Wt(vt.cond(ei).then(ei,\".call(this,a0,a1);\").else(ei,\"=\",cr,\"[\",Gr,\"]=\",vt.link(function(yi){return 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dr=vt.global,pr=Object.keys(rr),kr=!1,Ar=!1,gr=!1,Cr=vt.global.def(\"{}\");pr.forEach(function(Gr){var ei=rr[Gr];if(h.isDynamic(ei)){typeof ei==\"function\"&&(ei=rr[Gr]=h.unbox(ei));var yi=En(ei,null);kr=kr||yi.thisDep,gr=gr||yi.propDep,Ar=Ar||yi.contextDep}else{switch(dr(Cr,\".\",Gr,\"=\"),typeof ei){case\"number\":dr(ei);break;case\"string\":dr('\"',ei,'\"');break;case\"object\":Array.isArray(ei)&&dr(\"[\",ei.join(),\"]\");break;default:dr(vt.link(ei));break}dr(\";\")}});function cr(Gr,ei){pr.forEach(function(yi){var tn=rr[yi];if(h.isDynamic(tn)){var Ri=Gr.invoke(ei,tn);ei(Cr,\".\",yi,\"=\",Ri,\";\")}})}Pt.dynamic[Wt]=new h.DynamicVariable(Xo,{thisDep:kr,contextDep:Ar,propDep:gr,ref:Cr,append:cr}),delete Pt.static[Wt]}function Jt(vt,Pt,Wt,rr,dr){var pr=Oa();pr.stats=pr.link(dr),Object.keys(Pt.static).forEach(function(Ar){ir(pr,Pt,Ar)}),tr.forEach(function(Ar){ir(pr,vt,Ar)});var kr=yf(vt,Pt,Wt,rr,pr);return kr.shader.program&&(kr.shader.program.attributes.sort(function(Ar,gr){return 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yF,Vu=function(t){bBt(t)?(t={regl:t},this.gl=t.regl._gl):this.gl=uBt(t),this.shader=dOe.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||lBt({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),dOe.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(dBt(t)?t:{})};Vu.prototype.createShader=function(){var t=this.regl,r=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(i,a){return[a.atlas.width,a.atlas.height]},atlasDim:function(i,a){return[a.atlas.cols,a.atlas.rows]},atlas:function(i,a){return a.atlas.texture},charStep:function(i,a){return a.atlas.step},em:function(i,a){return a.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tattribute float width, charOffset, char;\n",
+       "\t\t\tattribute vec2 position;\n",
+       "\t\t\tuniform float fontSize, charStep, em, align, baseline;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform vec4 color;\n",
+       "\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n",
+       "\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n",
+       "\t\t\t\t\t/ (viewport.zw * scale.xy);\n",
+       "\n",
+       "\t\t\t\tvec2 position = (position + translate) * scale;\n",
+       "\t\t\t\tposition += offset * scale;\n",
+       "\n",
+       "\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n",
+       "\n",
+       "\t\t\t\tgl_PointSize = charStep;\n",
+       "\n",
+       "\t\t\t\tcharId.x = mod(char, atlasDim.x);\n",
+       "\t\t\t\tcharId.y = floor(char / atlasDim.x);\n",
+       "\n",
+       "\t\t\t\tcharWidth = width * em;\n",
+       "\n",
+       "\t\t\t\tfontColor = color / 255.;\n",
+       "\t\t\t}`,frag:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tuniform float fontSize, charStep, opacity;\n",
+       "\t\t\tuniform vec2 atlasSize;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform sampler2D atlas;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\n",
+       "\t\t\tfloat lightness(vec4 color) {\n",
+       "\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n",
+       "\t\t\t}\n",
+       "\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n",
+       "\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n",
+       "\n",
+       "\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n",
+       "\t\t\t\tuv.y = charStep - uv.y;\n",
+       "\n",
+       "\t\t\t\t// ignore points outside of character bounding box\n",
+       "\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n",
+       "\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n",
+       "\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n",
+       "\n",
+       "\t\t\t\tuv += charId * charStep;\n",
+       "\t\t\t\tuv = uv / atlasSize;\n",
+       "\n",
+       "\t\t\t\tvec4 color = fontColor;\n",
+       "\t\t\t\tvec4 mask = texture2D(atlas, uv);\n",
+       "\n",
+       "\t\t\t\tfloat maskY = lightness(mask);\n",
+       "\t\t\t\t// float colorY = lightness(color);\n",
+       "\t\t\t\tcolor.a *= maskY;\n",
+       "\t\t\t\tcolor.a *= opacity;\n",
+       "\n",
+       "\t\t\t\t// color.a += .1;\n",
+       "\n",
+       "\t\t\t\t// antialiasing, see yiq color space y-channel formula\n",
+       "\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n",
+       "\n",
+       "\t\t\t\tgl_FragColor = color;\n",
+       "\t\t\t}`}),n={};return{regl:t,draw:r,atlas:n}};Vu.prototype.update=function(t){var r=this;if(typeof t==\"string\")t={text:t};else if(!t)return;t=sBt(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),t.opacity!=null&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(ke){return parseFloat(ke)}):this.opacity=parseFloat(t.opacity)),t.viewport!=null&&(this.viewport=hBt(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),t.kerning!=null&&(this.kerning=t.kerning),t.offset!=null&&(typeof t.offset==\"number\"&&(t.offset=[t.offset,0]),this.positionOffset=_Bt(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),!this.font.length&&!t.font&&(t.font=Vu.baseFontSize+\"px sans-serif\");var n=!1,i=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(ke,ge){if(typeof ke==\"string\")try{ke=hA.parse(ke)}catch(Ge){ke=hA.parse(Vu.baseFontSize+\"px \"+ke)}else{var ie=ke.style,Te=ke.weight,Ee=ke.stretch,Ae=ke.variant;ke=hA.parse(hA.stringify(ke)),ie&&(ke.style=ie),Te&&(ke.weight=Te),Ee&&(ke.stretch=Ee),Ae&&(ke.variant=Ae)}var ze=hA.stringify({size:Vu.baseFontSize,family:ke.family,stretch:_F?ke.stretch:void 0,variant:ke.variant,weight:ke.weight,style:ke.style}),Ce=vBt(ke.size),me=Math.round(Ce[0]*pBt(Ce[1]));if(me!==r.fontSize[ge]&&(i=!0,r.fontSize[ge]=me),(!r.font[ge]||ze!=r.font[ge].baseString)&&(n=!0,r.font[ge]=Vu.fonts[ze],!r.font[ge])){var Re=ke.family.join(\", \"),ce=[ke.style];ke.style!=ke.variant&&ce.push(ke.variant),ke.variant!=ke.weight&&ce.push(ke.weight),_F&&ke.weight!=ke.stretch&&ce.push(ke.stretch),r.font[ge]={baseString:ze,family:Re,weight:ke.weight,stretch:ke.stretch,style:ke.style,variant:ke.variant,width:{},kerning:{},metrics:yBt(Re,{origin:\"top\",fontSize:Vu.baseFontSize,fontStyle:ce.join(\" \")})},Vu.fonts[ze]=r.font[ge]}}),(n||i)&&this.font.forEach(function(ke,ge){var ie=hA.stringify({size:r.fontSize[ge],family:ke.family,stretch:_F?ke.stretch:void 0,variant:ke.variant,weight:ke.weight,style:ke.style});if(r.fontAtlas[ge]=r.shader.atlas[ie],!r.fontAtlas[ge]){var Te=ke.metrics;r.shader.atlas[ie]=r.fontAtlas[ge]={fontString:ie,step:Math.ceil(r.fontSize[ge]*Te.bottom*.5)*2,em:r.fontSize[ge],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:r.regl.texture()}}t.text==null&&(t.text=r.text)}),typeof t.text==\"string\"&&t.position&&t.position.length>2){for(var a=Array(t.position.length*.5),o=0;o<a.length;o++)a[o]=t.text;t.text=a}var s;if(t.text!=null||n){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var l=1;l<t.text.length;l++)this.textOffsets[l]=this.textOffsets[l-1]+t.text[l-1].length,this.count+=t.text[l].length,this.counts.push(t.text[l].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];s=[],this.font.forEach(function(ke,ge){Vu.atlasContext.font=ke.baseString;for(var ie=r.fontAtlas[ge],Te=0;Te<r.text.length;Te++){var Ee=r.text.charAt(Te);if(ie.ids[Ee]==null&&(ie.ids[Ee]=ie.chars.length,ie.chars.push(Ee),s.push(Ee)),ke.width[Ee]==null&&(ke.width[Ee]=Vu.atlasContext.measureText(Ee).width/Vu.baseFontSize,r.kerning)){var Ae=[];for(var ze in ke.width)Ae.push(ze+Ee,Ee+ze);mBt(ke.kerning,gBt(ke.family,{pairs:Ae}))}}})}if(t.position)if(t.position.length>2){for(var u=!t.position[0].length,c=hx.mallocFloat(this.count*2),f=0,h=0;f<this.counts.length;f++){var d=this.counts[f];if(u)for(var v=0;v<d;v++)c[h++]=t.position[f*2],c[h++]=t.position[f*2+1];else for(var x=0;x<d;x++)c[h++]=t.position[f][0],c[h++]=t.position[f][1]}this.position.call?this.position({type:\"float\",data:c}):this.position=this.regl.buffer({type:\"float\",data:c}),hx.freeFloat(c)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||n){var b=hx.mallocUint8(this.count),g=hx.mallocFloat(this.count*2);this.textWidth=[];for(var E=0,k=0;E<this.counts.length;E++){for(var A=this.counts[E],L=this.font[E]||this.font[0],_=this.fontAtlas[E]||this.fontAtlas[0],C=0;C<A;C++){var M=this.text.charAt(k),p=this.text.charAt(k-1);if(b[k]=_.ids[M],g[k*2]=L.width[M],C){var P=g[k*2-2],T=g[k*2],F=g[k*2-1],q=F+P*.5+T*.5;if(this.kerning){var V=L.kerning[p+M];V&&(q+=V*.001)}g[k*2+1]=q}else g[k*2+1]=g[k*2]*.5;k++}this.textWidth.push(g.length?g[k*2-2]*.5+g[k*2-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:b,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:g,type:\"float\",usage:\"stream\"}),hx.freeUint8(b),hx.freeFloat(g),s.length&&this.font.forEach(function(ke,ge){var ie=r.fontAtlas[ge],Te=ie.step,Ee=Math.floor(Vu.maxAtlasSize/Te),Ae=Math.min(Ee,ie.chars.length),ze=Math.ceil(ie.chars.length/Ae),Ce=hOe(Ae*Te),me=hOe(ze*Te);ie.width=Ce,ie.height=me,ie.rows=ze,ie.cols=Ae,ie.em&&ie.texture({data:fBt({canvas:Vu.atlasCanvas,font:ie.fontString,chars:ie.chars,shape:[Ce,me],step:[Te,Te]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(ke,ge){var ie=Array.isArray(r.align)?r.align.length>1?r.align[ge]:r.align[0]:r.align;if(typeof ie==\"number\")return ie;switch(ie){case\"right\":case\"end\":return-ke;case\"center\":case\"centre\":case\"middle\":return-ke*.5}return 0})),this.baseline==null&&t.baseline==null&&(t.baseline=0),t.baseline!=null&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(ke,ge){var ie=(r.font[ge]||r.font[0]).metrics,Te=0;return Te+=ie.bottom*.5,typeof ke==\"number\"?Te+=ke-ie.baseline:Te+=-ie[ke],Te*=-1,Te})),t.color!=null)if(t.color||(t.color=\"transparent\"),typeof t.color==\"string\"||!isNaN(t.color))this.color=KY(t.color,\"uint8\");else{var H;if(typeof t.color[0]==\"number\"&&t.color.length>this.counts.length){var X=t.color.length;H=hx.mallocUint8(X);for(var G=(t.color.subarray||t.color.slice).bind(t.color),N=0;N<X;N+=4)H.set(KY(G(N,N+4),\"uint8\"),N)}else{var W=t.color.length;H=hx.mallocUint8(W*4);for(var re=0;re<W;re++)H.set(KY(t.color[re]||0,\"uint8\"),re*4)}this.color=H}if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity){var ae=this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(ae){var _e=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(_e);for(var Me=0;Me<this.batch.length;Me++)this.batch[Me]={count:this.counts.length>1?this.counts[Me]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Me]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(Me*4,Me*4+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Me]:this.opacity,baseline:this.baselineOffset[Me]!=null?this.baselineOffset[Me]:this.baselineOffset[0],align:this.align?this.alignOffset[Me]!=null?this.alignOffset[Me]:this.alignOffset[0]:0,atlas:this.fontAtlas[Me]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(Me*2,Me*2+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]}};Vu.prototype.destroy=function(){};Vu.prototype.kerning=!0;Vu.prototype.position={constant:new Float32Array(2)};Vu.prototype.translate=null;Vu.prototype.scale=null;Vu.prototype.font=null;Vu.prototype.text=\"\";Vu.prototype.positionOffset=[0,0];Vu.prototype.opacity=1;Vu.prototype.color=new Uint8Array([0,0,0,255]);Vu.prototype.alignOffset=[0,0];Vu.maxAtlasSize=1024;Vu.atlasCanvas=document.createElement(\"canvas\");Vu.atlasContext=Vu.atlasCanvas.getContext(\"2d\",{alpha:!1});Vu.baseFontSize=64;Vu.fonts={};function bBt(e){return typeof e==\"function\"&&e._gl&&e.prop&&e.texture&&e.buffer}vOe.exports=Vu});var xF=ye((Mmr,gOe)=>{\"use strict\";var wBt=pZ(),TBt=GY();gOe.exports=function(t,r,n){var i=t._fullLayout,a=!0;return i._glcanvas.each(function(o){if(o.regl){o.regl.preloadCachedCode(n);return}if(!(o.pick&&!i._has(\"parcoords\"))){try{o.regl=TBt({canvas:this,attributes:{antialias:!o.pick,preserveDrawingBuffer:!0},pixelRatio:t._context.plotGlPixelRatio||window.devicePixelRatio,extensions:r||[],cachedCode:n||{}})}catch(s){a=!1}o.regl||(a=!1),a&&this.addEventListener(\"webglcontextlost\",function(s){t&&t.emit&&t.emit(\"plotly_webglcontextlost\",{event:s,layer:o.key})},!1)}}),a||wBt({container:i._glcontainer.node()}),a}});var QY=ye(($Y,bOe)=>{\"use strict\";var mOe=QX(),yOe=LY(),ABt=sqe(),_Oe=pOe(),JY=Mr(),SBt=Sg().selectMode,MBt=xF(),EBt=lu(),kBt=hU(),CBt=YX().styleTextSelection,xOe={};function LBt(e,t,r,n){var i=e._size,a=e.width*n,o=e.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+t.domain[0]*f,l+r.domain[0]*h,a-u-(1-t.domain[1])*f,o-c-(1-r.domain[1])*h]}var $Y=bOe.exports=function(t,r,n){if(n.length){var i=t._fullLayout,a=r._scene,o=r.xaxis,s=r.yaxis,l,u;if(a){var c=MBt(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],xOe);if(!c){a.init();return}var f=a.count,h=i._glcanvas.data()[0].regl;if(kBt(t,r,n),a.dirty){if((a.line2d||a.error2d)&&!(a.scatter2d||a.fill2d||a.glText)&&h.clear({}),a.error2d===!0&&(a.error2d=ABt(h)),a.line2d===!0&&(a.line2d=yOe(h)),a.scatter2d===!0&&(a.scatter2d=mOe(h)),a.fill2d===!0&&(a.fill2d=yOe(h)),a.glText===!0)for(a.glText=new Array(f),l=0;l<f;l++)a.glText[l]=new _Oe(h);if(a.glText){if(f>a.glText.length){var d=f-a.glText.length;for(l=0;l<d;l++)a.glText.push(new _Oe(h))}else if(f<a.glText.length){var v=a.glText.length-f,x=a.glText.splice(f,v);x.forEach(function(W){W.destroy()})}for(l=0;l<f;l++)a.glText[l].update(a.textOptions[l])}if(a.line2d&&(a.line2d.update(a.lineOptions),a.lineOptions=a.lineOptions.map(function(W){if(W&&W.positions){for(var re=W.positions,ae=0;ae<re.length&&(isNaN(re[ae])||isNaN(re[ae+1]));)ae+=2;for(var _e=re.length-2;_e>ae&&(isNaN(re[_e])||isNaN(re[_e+1]));)_e-=2;W.positions=re.slice(ae,_e+2)}return W}),a.line2d.update(a.lineOptions)),a.error2d){var b=(a.errorXOptions||[]).concat(a.errorYOptions||[]);a.error2d.update(b)}a.scatter2d&&a.scatter2d.update(a.markerOptions),a.fillOrder=JY.repeat(null,f),a.fill2d&&(a.fillOptions=a.fillOptions.map(function(W,re){var ae=n[re];if(!(!W||!ae||!ae[0]||!ae[0].trace)){var _e=ae[0],Me=_e.trace,ke=_e.t,ge=a.lineOptions[re],ie,Te,Ee=[];Me._ownfill&&Ee.push(re),Me._nexttrace&&Ee.push(re+1),Ee.length&&(a.fillOrder[re]=Ee);var Ae=[],ze=ge&&ge.positions||ke.positions,Ce,me;if(Me.fill===\"tozeroy\"){for(Ce=0;Ce<ze.length&&isNaN(ze[Ce+1]);)Ce+=2;for(me=ze.length-2;me>Ce&&isNaN(ze[me+1]);)me-=2;ze[Ce+1]!==0&&(Ae=[ze[Ce],0]),Ae=Ae.concat(ze.slice(Ce,me+2)),ze[me+1]!==0&&(Ae=Ae.concat([ze[me],0]))}else if(Me.fill===\"tozerox\"){for(Ce=0;Ce<ze.length&&isNaN(ze[Ce]);)Ce+=2;for(me=ze.length-2;me>Ce&&isNaN(ze[me]);)me-=2;ze[Ce]!==0&&(Ae=[0,ze[Ce+1]]),Ae=Ae.concat(ze.slice(Ce,me+2)),ze[me]!==0&&(Ae=Ae.concat([0,ze[me+1]]))}else if(Me.fill===\"toself\"||Me.fill===\"tonext\"){for(Ae=[],ie=0,W.splitNull=!0,Te=0;Te<ze.length;Te+=2)(isNaN(ze[Te])||isNaN(ze[Te+1]))&&(Ae=Ae.concat(ze.slice(ie,Te)),Ae.push(ze[ie],ze[ie+1]),Ae.push(null,null),ie=Te+2);Ae=Ae.concat(ze.slice(ie)),ie&&Ae.push(ze[ie],ze[ie+1])}else{var Re=Me._nexttrace;if(Re){var ce=a.lineOptions[re+1];if(ce){var Ge=ce.positions;if(Me.fill===\"tonexty\"){for(Ae=ze.slice(),re=Math.floor(Ge.length/2);re--;){var nt=Ge[re*2],ct=Ge[re*2+1];isNaN(nt)||isNaN(ct)||Ae.push(nt,ct)}W.fill=Re.fillcolor}}}}if(Me._prevtrace&&Me._prevtrace.fill===\"tonext\"){var qt=a.lineOptions[re-1].positions,rt=Ae.length/2;ie=rt;var ot=[ie];for(Te=0;Te<qt.length;Te+=2)(isNaN(qt[Te])||isNaN(qt[Te+1]))&&(ot.push(Te/2+rt+1),ie=Te+2);Ae=Ae.concat(qt),W.hole=ot}return W.fillmode=Me.fill,W.opacity=Me.opacity,W.positions=Ae,W}}),a.fill2d.update(a.fillOptions))}var g=i.dragmode,E=SBt(g),k=i.clickmode.indexOf(\"select\")>-1;for(l=0;l<f;l++){var A=n[l][0],L=A.trace,_=A.t,C=_.index,M=L._length,p=_.x,P=_.y;if(L.selectedpoints||E||k){if(E||(E=!0),L.selectedpoints){var T=a.selectBatch[C]=JY.selIndices2selPoints(L),F={};for(u=0;u<T.length;u++)F[T[u]]=1;var q=[];for(u=0;u<M;u++)F[u]||q.push(u);a.unselectBatch[C]=q}var V=_.xpx=new Array(M),H=_.ypx=new Array(M);for(u=0;u<M;u++)V[u]=o.c2p(p[u]),H[u]=s.c2p(P[u])}else _.xpx=_.ypx=null}if(E){if(a.select2d||(a.select2d=mOe(i._glcanvas.data()[1].regl)),a.scatter2d){var X=new Array(f);for(l=0;l<f;l++)X[l]=a.selectBatch[l].length||a.unselectBatch[l].length?a.markerUnselectedOptions[l]:{};a.scatter2d.update(X)}a.select2d&&(a.select2d.update(a.markerOptions),a.select2d.update(a.markerSelectedOptions)),a.glText&&n.forEach(function(W){var re=((W||[])[0]||{}).trace||{};EBt.hasText(re)&&CBt(W)})}else a.scatter2d&&a.scatter2d.update(a.markerOptions);var G={viewport:LBt(i,o,s,t._context.plotGlPixelRatio),range:[(o._rl||o.range)[0],(s._rl||s.range)[0],(o._rl||o.range)[1],(s._rl||s.range)[1]]},N=JY.repeat(G,a.count);a.fill2d&&a.fill2d.update(N),a.line2d&&a.line2d.update(N),a.error2d&&a.error2d.update(N.concat(N)),a.scatter2d&&a.scatter2d.update(N),a.select2d&&a.select2d.update(N),a.glText&&a.glText.forEach(function(W){W.update(G)})}}};$Y.reglPrecompiled=xOe});var AOe=ye((Emr,TOe)=>{\"use strict\";var wOe=Vze();wOe.plot=QY();TOe.exports=wOe});var MOe=ye((kmr,SOe)=>{\"use strict\";SOe.exports=AOe()});var eK=ye((Cmr,LOe)=>{\"use strict\";var PBt=Uc(),COe=Kl(),EOe=Oc().axisHoverFormat,IBt=Wo().hovertemplateAttrs,xk=ek(),RBt=ad().idRegex,DBt=Vs().templatedArray,dA=no().extendFlat,o1=PBt.marker,zBt=o1.line,FBt=dA(COe(\"marker.line\",{editTypeOverride:\"calc\"}),{width:dA({},zBt.width,{editType:\"calc\"}),editType:\"calc\"}),bF=dA(COe(\"marker\"),{symbol:o1.symbol,angle:o1.angle,size:dA({},o1.size,{editType:\"markerSize\"}),sizeref:o1.sizeref,sizemin:o1.sizemin,sizemode:o1.sizemode,opacity:o1.opacity,colorbar:o1.colorbar,line:FBt,editType:\"calc\"});bF.color.editType=bF.cmin.editType=bF.cmax.editType=\"style\";function kOe(e){return{valType:\"info_array\",freeLength:!0,editType:\"calc\",items:{valType:\"subplotid\",regex:RBt[e],editType:\"plot\"}}}LOe.exports={dimensions:DBt(\"dimension\",{visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},label:{valType:\"string\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},axis:{type:{valType:\"enumerated\",values:[\"linear\",\"log\",\"date\",\"category\"],editType:\"calc+clearAxisTypes\"},matches:{valType:\"boolean\",dflt:!1,editType:\"calc\"},editType:\"calc+clearAxisTypes\"},editType:\"calc+clearAxisTypes\"}),text:dA({},xk.text,{}),hovertext:dA({},xk.hovertext,{}),hovertemplate:IBt(),xhoverformat:EOe(\"x\"),yhoverformat:EOe(\"y\"),marker:bF,xaxes:kOe(\"x\"),yaxes:kOe(\"y\"),diagonal:{visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},editType:\"calc\"},showupperhalf:{valType:\"boolean\",dflt:!0,editType:\"calc\"},showlowerhalf:{valType:\"boolean\",dflt:!0,editType:\"calc\"},selected:{marker:xk.selected.marker,editType:\"calc\"},unselected:{marker:xk.unselected.marker,editType:\"calc\"},opacity:xk.opacity}});var 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n=t.cd,i=n[0].trace,a=n[0].t,o=t.scene,s=o.matrixOptions.cdata,l=t.xaxis,u=t.yaxis,c=[];if(!o)return c;var f=!oBe.hasMarkers(i)&&!oBe.hasText(i);if(i.visible!==!0||f)return c;var h=sBe.getDimIndex(i,l),d=sBe.getDimIndex(i,u);if(h===!1||d===!1)return c;var v=a.xpx[h],x=a.ypx[d],b=s[h],g=s[d],E=(t.scene.selectBatch||[]).slice(),k=[];if(r!==!1&&!r.degenerate)for(var A=0;A<b.length;A++)r.contains([v[A],x[A]],null,A,t)?(c.push({pointNumber:A,x:b[A],y:g[A]}),aBe(E,A)):E.indexOf(A)!==-1?aBe(E,A):k.push(A);var L=o.matrixOptions;return!E.length&&!k.length?o.matrix.update(L,null):!o.selectBatch.length&&!o.unselectBatch.length&&o.matrix.update(o.unselectedOptions,lBe.extendFlat({},L,o.selectedOptions,o.viewOpts)),o.selectBatch=E,o.unselectBatch=k,c}});var dBe=ye((Umr,hBe)=>{\"use strict\";var fBe=Mr(),cNt=z0(),fNt=Y2().markerStyle;hBe.exports=function(t,r){var n=r.trace,i=t._fullLayout._splomScenes[n.uid];if(i){cNt(t,n),fBe.extendFlat(i.matrixOptions,fNt(t,n));var a=fBe.extendFlat({},i.matrixOptions,i.viewOpts);i.matrix.update(a,null)}}});var pBe=ye((Vmr,vBe)=>{\"use strict\";var hNt=ba(),dNt=nV();vBe.exports={moduleType:\"trace\",name:\"splom\",categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:eK(),supplyDefaults:DOe(),colorbar:Kd(),calc:NOe(),plot:$Oe(),hoverPoints:nBe().hoverPoints,selectPoints:cBe(),editStyle:dBe(),meta:{}};hNt.register(dNt)});var bBe=ye((Hmr,xBe)=>{\"use strict\";var vNt=LY(),pNt=ba(),gNt=xF(),mNt=kd().getModuleCalcData,px=Jf(),gBe=af().getFromId,mBe=Qa().shouldShowZeroLine,yBe=\"splom\",_Be={};function yNt(e){var t=e._fullLayout,r=pNt.getModule(yBe),n=mNt(e.calcdata,r)[0],i=gNt(e,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],_Be);i&&(t._hasOnlyLargeSploms&&sK(e),r.plot(e,{},n))}function _Nt(e){var t=e.calcdata,r=e._fullLayout;r._hasOnlyLargeSploms&&sK(e);for(var n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=r._splomScenes[a.uid];a.type===\"splom\"&&o&&o.matrix&&xNt(e,a,o)}}function xNt(e,t,r){for(var n=r.matrixOptions.data.length,i=t._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],l=a[o]=new Array(4),u=gBe(e,t._diag[s][0]);u&&(l[0]=u.r2l(u.range[0]),l[2]=u.r2l(u.range[1]));var c=gBe(e,t._diag[s][1]);c&&(l[1]=c.r2l(c.range[0]),l[3]=c.r2l(c.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function sK(e){var t=e._fullLayout,r=t._glcanvas.data()[0].regl,n=t._splomGrid;n||(n=t._splomGrid=vNt(r)),n.update(bNt(e))}function bNt(e){var t=e._context.plotGlPixelRatio,r=e._fullLayout,n=r._size,i=[0,0,r.width*t,r.height*t],a={},o;function s(_,C,M,p,P,T){M*=t,p*=t,P*=t,T*=t;var F=C[_+\"color\"],q=C[_+\"width\"],V=String(F+q);V in a?a[V].data.push(NaN,NaN,M,p,P,T):a[V]={data:[M,p,P,T],join:\"rect\",thickness:q*t,color:F,viewport:i,range:i,overlay:!1}}for(o in r._splomSubplots){var l=r._plots[o],u=l.xaxis,c=l.yaxis,f=u._gridVals,h=c._gridVals,d=u._offset,v=u._length,x=c._length,b=n.b+c.domain[0]*n.h,g=-c._m,E=-g*c.r2l(c.range[0],c.calendar),k,A;if(u.showgrid)for(o=0;o<f.length;o++)k=d+u.l2p(f[o].x),s(\"grid\",u,k,b,k,b+x);if(c.showgrid)for(o=0;o<h.length;o++)A=b+E+g*h[o].x,s(\"grid\",c,d,A,d+v,A);mBe(e,u,c)&&(k=d+u.l2p(0),s(\"zeroline\",u,k,b,k,b+x)),mBe(e,c,u)&&(A=b+E+0,s(\"zeroline\",c,d,A,d+v,A))}var L=[];for(o in a)L.push(a[o]);return L}function wNt(e,t,r,n){var i={},a;if(n._splomScenes){for(a=0;a<e.length;a++){var o=e[a];o.type===\"splom\"&&(i[o.uid]=1)}for(a=0;a<r.length;a++){var s=r[a];if(!i[s.uid]){var l=n._splomScenes[s.uid];l&&l.destroy&&l.destroy(),n._splomScenes[s.uid]=null,delete n._splomScenes[s.uid]}}}Object.keys(n._splomScenes||{}).length===0&&delete n._splomScenes,n._splomGrid&&!t._hasOnlyLargeSploms&&n._hasOnlyLargeSploms&&(n._splomGrid.destroy(),n._splomGrid=null,delete n._splomGrid),px.clean(e,t,r,n)}xBe.exports={name:yBe,attr:px.attr,attrRegex:px.attrRegex,layoutAttributes:px.layoutAttributes,supplyLayoutDefaults:px.supplyLayoutDefaults,drawFramework:px.drawFramework,plot:yNt,drag:_Nt,updateGrid:sK,clean:wNt,updateFx:px.updateFx,toSVG:px.toSVG,reglPrecompiled:_Be}});var ABe=ye((Gmr,TBe)=>{\"use strict\";var wBe=pBe();wBe.basePlotModule=bBe(),TBe.exports=wBe});var MBe=ye((jmr,SBe)=>{\"use strict\";SBe.exports=ABe()});var cK=ye((Wmr,EBe)=>{\"use strict\";var TNt=Kl(),lK=Cd(),uK=Su(),ANt=Ju().attributes,CF=no().extendFlat,SNt=Vs().templatedArray;EBe.exports={domain:ANt({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:uK({editType:\"plot\"}),tickfont:uK({autoShadowDflt:!0,editType:\"plot\"}),rangefont:uK({editType:\"plot\"}),dimensions:SNt(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:CF({},lK.tickvals,{editType:\"plot\"}),ticktext:CF({},lK.ticktext,{editType:\"plot\"}),tickformat:CF({},lK.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:CF({editType:\"calc\"},TNt(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}});var Tk=ye((Zmr,kBe)=>{\"use 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Km=ye((Xmr,LBe)=>{\"use strict\";var MNt=OS();function CBe(e){return[e]}LBe.exports={keyFun:function(e){return e.key},repeat:CBe,descend:MNt,wrap:CBe,unwrap:function(e){return e[0]}}});var dK=ye((Ymr,UBe)=>{\"use strict\";var th=Tk(),em=xa(),ENt=Km().keyFun,LF=Km().repeat,mA=Mr().sorterAsc,kNt=Mr().strTranslate,PBe=th.bar.snapRatio;function IBe(e,t){return e*(1-PBe)+t*PBe}var RBe=th.bar.snapClose;function CNt(e,t){return e*(1-RBe)+t*RBe}function IF(e,t,r,n){if(LNt(r,n))return r;var i=e?-1:1,a=0,o=t.length-1;if(i<0){var s=a;a=o,o=s}for(var l=t[a],u=l,c=a;i*c<i*o;c+=i){var f=c+i,h=t[f];if(i*r<i*CNt(l,h))return IBe(l,u);if(i*r<i*h||f===o)return IBe(h,l);u=l,l=h}}function LNt(e,t){for(var r=0;r<t.length;r++)if(e>=t[r][0]&&e<=t[r][1])return!0;return!1}function PNt(e){e.attr(\"x\",-th.bar.captureWidth/2).attr(\"width\",th.bar.captureWidth)}function INt(e){e.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function RNt(e){if(!e.brush.filterSpecified)return\"0,\"+e.height;for(var t=DBe(e.brush.filter.getConsolidated(),e.height),r=[0],n,i,a,o=t.length?t[0][0]:null,s=0;s<t.length;s++)n=t[s],i=n[1]-n[0],r.push(o),r.push(i),a=s+1,a<t.length&&(o=t[a][0]-n[1]);return r.push(e.height),r}function DBe(e,t){return e.map(function(r){return r.map(function(n){return Math.max(0,n*t)}).sort(mA)})}function DNt(e,t){var r=th.bar.handleHeight;if(!(t>e[1]+r||t<e[0]-r))return t>=.9*e[1]+.1*e[0]?\"n\":t<=.9*e[0]+.1*e[1]?\"s\":\"ns\"}function zBe(){em.select(document.body).style(\"cursor\",null)}function hK(e){e.attr(\"stroke-dasharray\",RNt)}function PF(e,t){var r=em.select(e).selectAll(\".highlight, .highlight-shadow\"),n=t?r.transition().duration(th.bar.snapDuration).each(\"end\",t):r;hK(n)}function FBe(e,t){var r=e.brush,n=r.filterSpecified,i=NaN,a={},o;if(n){var s=e.height,l=r.filter.getConsolidated(),u=DBe(l,s),c=NaN,f=NaN,h=NaN;for(o=0;o<=u.length;o++){var d=u[o];if(d&&d[0]<=t&&t<=d[1]){c=o;break}else if(f=o?o-1:NaN,d&&d[0]>t){h=o;break}}if(i=c,isNaN(i)&&(isNaN(f)||isNaN(h)?i=isNaN(f)?h:f:i=t-u[f][1]<u[h][0]-t?f:h),!isNaN(i)){var v=u[i],x=DNt(v,t);x&&(a.interval=l[i],a.intervalPix=v,a.region=x)}}if(e.ordinal&&!a.region){var b=e.unitTickvals,g=e.unitToPaddedPx.invert(t);for(o=0;o<b.length;o++){var E=[b[Math.max(o-1,0)]*.25+b[o]*.75,b[Math.min(o+1,b.length-1)]*.25+b[o]*.75];if(g>=E[0]&&g<=E[1]){a.clickableOrdinalRange=E;break}}}return a}function zNt(e,t){em.event.sourceEvent.stopPropagation();var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=t.unitToPaddedPx.invert(r),i=t.brush,a=FBe(t,r),o=a.interval,s=i.svgBrush;if(s.wasDragged=!1,s.grabbingBar=a.region===\"ns\",s.grabbingBar){var l=o.map(t.unitToPaddedPx);s.grabPoint=r-l[0]-th.verticalPadding,s.barLength=l[1]-l[0]}s.clickableOrdinalRange=a.clickableOrdinalRange,s.stayingIntervals=t.multiselect&&i.filterSpecified?i.filter.getConsolidated():[],o&&(s.stayingIntervals=s.stayingIntervals.filter(function(u){return u[0]!==o[0]&&u[1]!==o[1]})),s.startExtent=a.region?o[a.region===\"s\"?1:0]:n,t.parent.inBrushDrag=!0,s.brushStartCallback()}function qBe(e,t){em.event.sourceEvent.stopPropagation();var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=t.brush.svgBrush;n.wasDragged=!0,n._dragging=!0,n.grabbingBar?n.newExtent=[r-n.grabPoint,r+n.barLength-n.grabPoint].map(t.unitToPaddedPx.invert):n.newExtent=[n.startExtent,t.unitToPaddedPx.invert(r)].sort(mA),t.brush.filterSpecified=!0,n.extent=n.stayingIntervals.concat([n.newExtent]),n.brushCallback(t),PF(e.parentNode)}function FNt(e,t){var r=t.brush,n=r.filter,i=r.svgBrush;i._dragging||(OBe(e,t),qBe(e,t),t.brush.svgBrush.wasDragged=!1),i._dragging=!1;var a=em.event;a.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,t.parent.inBrushDrag=!1,zBe(),!i.wasDragged){i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&t.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,i.extent.length===0&&fK(r)):fK(r),i.brushCallback(t),PF(e.parentNode),i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);return}var s=function(){n.set(n.getConsolidated())};if(t.ordinal){var l=t.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[IF(0,l,i.newExtent[0],i.stayingIntervals),IF(1,l,i.newExtent[1],i.stayingIntervals)];var u=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(u?[i.newExtent]:[]),i.extent.length||fK(r),i.brushCallback(t),u?PF(e.parentNode,s):(s(),PF(e.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}function OBe(e,t){var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=FBe(t,r),i=\"crosshair\";n.clickableOrdinalRange?i=\"pointer\":n.region&&(i=n.region+\"-resize\"),em.select(document.body).style(\"cursor\",i)}function qNt(e){e.on(\"mousemove\",function(t){em.event.preventDefault(),t.parent.inBrushDrag||OBe(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||zBe()}).call(em.behavior.drag().on(\"dragstart\",function(t){zNt(this,t)}).on(\"drag\",function(t){qBe(this,t)}).on(\"dragend\",function(t){FNt(this,t)}))}function BBe(e,t){return e[0]-t[0]}function ONt(e,t,r){var n=r._context.staticPlot,i=e.selectAll(\".background\").data(LF);i.enter().append(\"rect\").classed(\"background\",!0).call(PNt).call(INt).style(\"pointer-events\",n?\"none\":\"auto\").attr(\"transform\",kNt(0,th.verticalPadding)),i.call(qNt).attr(\"height\",function(s){return s.height-th.verticalPadding});var a=e.selectAll(\".highlight-shadow\").data(LF);a.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-th.bar.width/2).attr(\"stroke-width\",th.bar.width+th.bar.strokeWidth).attr(\"stroke\",t).attr(\"opacity\",th.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(s){return s.height}).call(hK);var o=e.selectAll(\".highlight\").data(LF);o.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-th.bar.width/2).attr(\"stroke-width\",th.bar.width-th.bar.strokeWidth).attr(\"stroke\",th.bar.fillColor).attr(\"opacity\",th.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),o.attr(\"y1\",function(s){return s.height}).call(hK)}function BNt(e,t,r){var n=e.selectAll(\".\"+th.cn.axisBrush).data(LF,ENt);n.enter().append(\"g\").classed(th.cn.axisBrush,!0),ONt(n,t,r)}function NNt(e){return e.svgBrush.extent.map(function(t){return t.slice()})}function fK(e){e.filterSpecified=!1,e.svgBrush.extent=[[-1/0,1/0]]}function UNt(e){return function(r){var n=r.brush,i=NNt(n),a=i.slice();n.filter.set(a),e()}}function NBe(e){for(var t=e.slice(),r=[],n,i=t.shift();i;){for(n=i.slice();(i=t.shift())&&i[0]<=n[1];)n[1]=Math.max(n[1],i[1]);r.push(n)}return r.length===1&&r[0][0]>r[0][1]&&(r=[]),r}function VNt(){var e=[],t,r;return{set:function(n){e=n.map(function(i){return i.slice().sort(mA)}).sort(BBe),e.length===1&&e[0][0]===-1/0&&e[0][1]===1/0&&(e=[[0,-1]]),t=NBe(e),r=e.reduce(function(i,a){return[Math.min(i[0],a[0]),Math.max(i[1],a[1])]},[1/0,-1/0])},get:function(){return e.slice()},getConsolidated:function(){return t},getBounds:function(){return r}}}function HNt(e,t,r,n,i,a){var o=VNt();return o.set(r),{filter:o,filterSpecified:t,svgBrush:{extent:[],brushStartCallback:n,brushCallback:UNt(i),brushEndCallback:a}}}function GNt(e,t){if(Array.isArray(e[0])?(e=e.map(function(n){return n.sort(mA)}),t.multiselect?e=NBe(e.sort(BBe)):e=[e[0]]):e=[e.sort(mA)],t.tickvals){var r=t.tickvals.slice().sort(mA);if(e=e.map(function(n){var i=[IF(0,r,n[0],[]),IF(1,r,n[1],[])];if(i[1]>i[0])return i}).filter(function(n){return n}),!e.length)return}return e.length>1?e:e[0]}UBe.exports={makeBrush:HNt,ensureAxisBrush:BNt,cleanRanges:GNt}});var GBe=ye((Kmr,HBe)=>{\"use strict\";var gx=Mr(),jNt=Dv().hasColorscale,WNt=Uh(),ZNt=Ju().defaults,XNt=Zd(),YNt=Qa(),VBe=cK(),KNt=dK(),vK=Tk().maxDimensionCount,JNt=wF();function $Nt(e,t,r,n,i){var a=i(\"line.color\",r);if(jNt(e,\"line\")&&gx.isArrayOrTypedArray(a)){if(a.length)return i(\"line.colorscale\"),WNt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function QNt(e,t,r,n){function i(u,c){return gx.coerce(e,t,VBe.dimensions,u,c)}var a=i(\"values\"),o=i(\"visible\");if(a&&a.length||(o=t.visible=!1),o){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var s=i(\"range\");t._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:s},YNt.setConvert(t._ax,n.layout),i(\"multiselect\");var l=i(\"constraintrange\");l&&(t.constraintrange=KNt.cleanRanges(l,t))}}HBe.exports=function(t,r,n,i){function a(c,f){return gx.coerce(t,r,VBe,c,f)}var o=t.dimensions;Array.isArray(o)&&o.length>vK&&(gx.log(\"parcoords traces support up to \"+vK+\" dimensions at the moment\"),o.splice(vK));var s=XNt(t,r,{name:\"dimensions\",layout:i,handleItemDefaults:QNt}),l=$Nt(t,r,n,i,a);ZNt(r,i,a),(!Array.isArray(s)||!s.length)&&(r.visible=!1),JNt(r,s,\"values\",l);var u=gx.extendFlat({},i.font,{size:Math.round(i.font.size/1.2)});gx.coerceFont(a,\"labelfont\",u),gx.coerceFont(a,\"tickfont\",u,{autoShadowDflt:!0}),gx.coerceFont(a,\"rangefont\",u),a(\"labelangle\"),a(\"labelside\"),a(\"unselected.line.color\"),a(\"unselected.line.opacity\")}});var WBe=ye((Jmr,jBe)=>{\"use strict\";var eUt=Mr().isArrayOrTypedArray,pK=Mu(),tUt=Km().wrap;jBe.exports=function(t,r){var n,i;return pK.hasColorscale(r,\"line\")&&eUt(r.line.color)?(n=r.line.color,i=pK.extractOpts(r.line).colorscale,pK.calc(t,r,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=rUt(r._length),i=[[0,r.line.color],[1,r.line.color]]),tUt({lineColor:n,cscale:i})};function rUt(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=.5;return t}});var gK=ye(RF=>{\"use strict\";var iUt=Mr().isTypedArray;RF.convertTypedArray=function(e){return iUt(e)?Array.prototype.slice.call(e):e};RF.isOrdinal=function(e){return!!e.tickvals};RF.isVisible=function(e){return e.visible||!(\"visible\"in e)}});var rNe=ye((Qmr,tNe)=>{\"use strict\";var nUt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(`\n",
+       "`),aUt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(`\n",
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Array(e*(Ak+4)),i=0,a=0;a<e;a++){for(var o=0;o<Ak;o++)n[i++]=o<t.length?t[o].paddedUnitValues[a]:.5;n[i++]=mK(a,2),n[i++]=mK(a,1),n[i++]=mK(a,0),n[i++]=uUt(r[a])}return n}function hUt(e,t,r){for(var n=new Array(t*8),i=0,a=0;a<t;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=e*4+s,u=r[a*64+l];l===63&&o===0&&(u*=-1),n[i++]=u}return n}function KBe(e){var t=\"0\"+e;return t.substr(t.length-2)}function eNe(e){return e<Ak?\"p\"+KBe(e+1)+\"_\"+KBe(e+4):\"colors\"}function dUt(e,t,r){for(var n=0;n<=Ak;n+=4)e[eNe(n)](hUt(n/4,t,r))}function vUt(e){for(var t={},r=0;r<=Ak;r+=4)t[eNe(r)]=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return t}function pUt(e,t,r,n,i,a,o,s,l,u,c,f,h,d){for(var v=[[],[]],x=0;x<64;x++)v[0][x]=x===i?1:0,v[1][x]=x===a?1:0;o*=d,s*=d,l*=d,u*=d;var b=e.lines.canvasOverdrag*d,g=e.domain,E=e.canvasWidth*d,k=e.canvasHeight*d,A=e.pad.l*d,L=e.pad.b*d,_=e.layoutHeight*d,C=e.layoutWidth*d,M=e.deselectedLines.color,p=e.deselectedLines.opacity,P=$Be.extendFlat({key:c,resolution:[E,k],viewBoxPos:[o+b,s],viewBoxSize:[l,u],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:f,contextColor:[M[0]/255,M[1]/255,M[2]/255,p!==\"auto\"?M[3]*p:Math.max(1/255,Math.pow(1/e.lines.color.length,1/3))],scissorX:(n===t?0:o+b)+(A-b)+C*g.x[0],scissorWidth:(n===r?E-o+b:l+.5)+(n===t?o+b:0),scissorY:s+L+_*g.y[0],scissorHeight:u,viewportX:A-b+C*g.x[0],viewportY:L+_*g.y[0],viewportWidth:E,viewportHeight:k},h);return P}function JBe(e){var t=DF-1,r=Math.max(0,Math.floor(e[0]*t),0),n=Math.min(t,Math.ceil(e[1]*t),t);return[Math.min(r,n),Math.max(r,n)]}tNe.exports=function(e,t){var r=t.context,n=t.pick,i=t.regl,a=i._gl,o=a.getParameter(a.ALIASED_LINE_WIDTH_RANGE),s=Math.max(o[0],Math.min(o[1],t.viewModel.plotGlPixelRatio)),l={currentRafs:{},drawCompleted:!0,clearOnly:!1},u,c,f,h,d=vUt(i),v,x=i.texture(YBe),b=[];E(t);var g=i({profile:!1,blend:{enable:r,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!r,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:i.prop(\"scissorX\"),y:i.prop(\"scissorY\"),width:i.prop(\"scissorWidth\"),height:i.prop(\"scissorHeight\")}},viewport:{x:i.prop(\"viewportX\"),y:i.prop(\"viewportY\"),width:i.prop(\"viewportWidth\"),height:i.prop(\"viewportHeight\")},dither:!1,vert:nUt,frag:aUt,primitive:\"lines\",lineWidth:s,attributes:d,uniforms:{resolution:i.prop(\"resolution\"),viewBoxPos:i.prop(\"viewBoxPos\"),viewBoxSize:i.prop(\"viewBoxSize\"),dim0A:i.prop(\"dim0A\"),dim1A:i.prop(\"dim1A\"),dim0B:i.prop(\"dim0B\"),dim1B:i.prop(\"dim1B\"),dim0C:i.prop(\"dim0C\"),dim1C:i.prop(\"dim1C\"),dim0D:i.prop(\"dim0D\"),dim1D:i.prop(\"dim1D\"),loA:i.prop(\"loA\"),hiA:i.prop(\"hiA\"),loB:i.prop(\"loB\"),hiB:i.prop(\"hiB\"),loC:i.prop(\"loC\"),hiC:i.prop(\"hiC\"),loD:i.prop(\"loD\"),hiD:i.prop(\"hiD\"),palette:x,contextColor:i.prop(\"contextColor\"),maskTexture:i.prop(\"maskTexture\"),drwLayer:i.prop(\"drwLayer\"),maskHeight:i.prop(\"maskHeight\")},offset:i.prop(\"offset\"),count:i.prop(\"count\")});function E(M){u=M.model,c=M.viewModel,f=c.dimensions.slice(),h=f[0]?f[0].values.length:0;var p=u.lines,P=n?p.color.map(function(F,q){return q/p.color.length}):p.color,T=fUt(h,f,P);dUt(d,h,T),!r&&!n&&(x=i.texture($Be.extendFlat({data:cUt(u.unitToColor,255)},YBe)))}function k(M){var p,P,T,F=[[],[]];for(T=0;T<64;T++){var q=!M&&T<f.length?f[T].brush.filter.getBounds():[-1/0,1/0];F[0][T]=q[0],F[1][T]=q[1]}var V=DF*8,H=new Array(V);for(p=0;p<V;p++)H[p]=255;if(!M)for(p=0;p<f.length;p++){var X=p%8,G=(p-X)/8,N=Math.pow(2,X),W=f[p],re=W.brush.filter.get();if(!(re.length<2)){var ae=JBe(re[0])[1];for(P=1;P<re.length;P++){var _e=JBe(re[P]);for(T=ae+1;T<_e[0];T++)H[T*8+G]&=~N;ae=Math.max(ae,_e[1])}}}var Me={shape:[8,DF],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:H};return v?v(Me):v=i.texture(Me),{maskTexture:v,maskHeight:DF,loA:F[0].slice(0,16),loB:F[0].slice(16,32),loC:F[0].slice(32,48),loD:F[0].slice(48,64),hiA:F[1].slice(0,16),hiB:F[1].slice(16,32),hiC:F[1].slice(32,48),hiD:F[1].slice(48,64)}}function A(M,p,P){var T=M.length,F,q,V,H=1/0,X=-1/0;for(F=0;F<T;F++)M[F].dim0.canvasX<H&&(H=M[F].dim0.canvasX,q=F),M[F].dim1.canvasX>X&&(X=M[F].dim1.canvasX,V=F);T===0&&QBe(i,0,0,u.canvasWidth,u.canvasHeight);var G=k(r);for(F=0;F<T;F++){var N=M[F],W=N.dim0.crossfilterDimensionIndex,re=N.dim1.crossfilterDimensionIndex,ae=N.canvasX,_e=N.canvasY,Me=ae+N.panelSizeX,ke=N.plotGlPixelRatio;if(p||!b[W]||b[W][0]!==ae||b[W][1]!==Me){b[W]=[ae,Me];var ge=pUt(u,q,V,F,W,re,ae,_e,N.panelSizeX,N.panelSizeY,N.dim0.crossfilterDimensionIndex,r?0:n?2:1,G,ke);l.clearOnly=P;var ie=p?u.lines.blockLineCount:h;lUt(i,g,l,ie,h,ge)}}}function L(M,p){return i.read({x:M,y:p,width:1,height:1,data:XBe}),XBe}function _(M,p,P,T){var F=new Uint8Array(4*P*T);return i.read({x:M,y:p,width:P,height:T,data:F}),F}function C(){e.style[\"pointer-events\"]=\"none\",x.destroy(),v&&v.destroy();for(var M in d)d[M].destroy()}return{render:A,readPixel:L,readPixels:_,destroy:C,update:E}}});var gNe=ye((eyr,pNe)=>{\"use strict\";var zd=xa(),l1=Mr(),yK=l1.isArrayOrTypedArray,lNe=l1.numberFormat,uNe=rZ(),cNe=Qa(),gUt=l1.strRotate,Jm=l1.strTranslate,mUt=Ll(),zF=ao(),iNe=Mu(),bK=Km(),tg=bK.keyFun,$m=bK.repeat,fNe=bK.unwrap,yA=gK(),ll=Tk(),hNe=dK(),yUt=rNe();function nNe(e,t,r){return l1.aggNums(e,null,t,r)}function dNe(e,t){return wK(nNe(Math.min,e,t),nNe(Math.max,e,t))}function FF(e){var t=e.range;return t?wK(t[0],t[1]):dNe(e.values,e._length)}function wK(e,t){return(isNaN(e)||!isFinite(e))&&(e=0),(isNaN(t)||!isFinite(t))&&(t=0),e===t&&(e===0?(e-=1,t+=1):(e*=.9,t*=1.1)),[e,t]}function _Ut(e,t){return t?function(r,n){var i=t[n];return i==null?e(r):i}:e}function xUt(e,t,r,n,i){var a=FF(r);return n?zd.scale.ordinal().domain(n.map(_Ut(lNe(r.tickformat),i))).range(n.map(function(o){var s=(o-a[0])/(a[1]-a[0]);return e-t+s*(2*t-e)})):zd.scale.linear().domain(a).range([e-t,t])}function bUt(e,t){return zd.scale.linear().range([t,e-t])}function wUt(e,t){return zd.scale.linear().domain(FF(e)).range([t,1-t])}function TUt(e){if(e.tickvals){var t=FF(e);return zd.scale.ordinal().domain(e.tickvals).range(e.tickvals.map(function(r){return(r-t[0])/(t[1]-t[0])}))}}function AUt(e){var t=e.map(function(a){return a[0]}),r=e.map(function(a){var o=uNe(a[1]);return zd.rgb(\"rgb(\"+o[0]+\",\"+o[1]+\",\"+o[2]+\")\")}),n=function(a){return function(o){return o[a]}},i=\"rgb\".split(\"\").map(function(a){return zd.scale.linear().clamp(!0).domain(t).range(r.map(n(a)))});return function(a){return i.map(function(o){return o(a)})}}function xK(e){return e.dimensions.some(function(t){return t.brush.filterSpecified})}function SUt(e,t,r){var 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l=i.font;_A.coerceFont(a,\"labelfont\",l,{overrideDflt:{size:Math.round(l.size)}}),_A.coerceFont(a,\"tickfont\",l,{autoShadowDflt:!0,overrideDflt:{size:Math.round(l.size/1.2)}})}});var ONe=ye((syr,qNe)=>{\"use strict\";var ZUt=Km().wrap,XUt=Dv().hasColorscale,YUt=zv(),KUt=Gq(),JUt=ao(),Mk=Mr(),$Ut=uo();qNe.exports=function(t,r){var n=Mk.filterVisible(r.dimensions);if(n.length===0)return[];var i=n.map(function(p){var P;if(p.categoryorder===\"trace\")P=null;else if(p.categoryorder===\"array\")P=p.categoryarray;else{P=KUt(p.values);for(var T=!0,F=0;F<P.length;F++)if(!$Ut(P[F])){T=!1;break}P.sort(T?Mk.sorterAsc:void 0),p.categoryorder===\"category descending\"&&(P=P.reverse())}return aVt(p.values,P)}),a,o,s;Mk.isArrayOrTypedArray(r.counts)?a=r.counts:a=[r.counts],oVt(n),n.forEach(function(p,P){sVt(p,i[P])});var l=r.line,u;l?(XUt(r,\"line\")&&YUt(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),u=JUt.tryColorscale(l)):u=Mk.identity;function c(p){var P,T;return Mk.isArrayOrTypedArray(l.color)?(P=l.color[p%l.color.length],T=P):P=l.color,{color:u(P),rawColor:T}}var f=n[0].values.length,h={},d=i.map(function(p){return p.inds});s=0;var v,x;for(v=0;v<f;v++){var b=[];for(x=0;x<d.length;x++)b.push(d[x][v]);o=a[v%a.length],s+=o;var g=c(v),E=b+\"-\"+g.rawColor;h[E]===void 0&&(h[E]=iVt(b,g.color,g.rawColor)),nVt(h[E],v,o)}var k=n.map(function(p,P){return eVt(P,p._index,p._displayindex,p.label,s)});for(v=0;v<f;v++)for(o=a[v%a.length],x=0;x<k.length;x++){var A=k[x].containerInd,L=i[x].inds[v],_=k[x].categories;if(_[L]===void 0){var C=r.dimensions[A]._categoryarray[L],M=r.dimensions[A]._ticktext[L];_[L]=tVt(x,L,C,M)}rVt(_[L],v,o)}return ZUt(QUt(k,h,s))};function QUt(e,t,r){var n=e.map(function(i){return i.categories.length}).reduce(function(i,a){return Math.max(i,a)});return{dimensions:e,paths:t,trace:void 0,maxCats:n,count:r}}function eVt(e,t,r,n,i){return{dimensionInd:e,containerInd:t,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}function tVt(e,t,r,n){return{dimensionInd:e,categoryInd:t,categoryValue:r,displayInd:t,categoryLabel:n,valueInds:[],count:0,dragY:null}}function rVt(e,t,r){e.valueInds.push(t),e.count+=r}function iVt(e,t,r){return{categoryInds:e,color:t,rawColor:r,valueInds:[],count:0}}function nVt(e,t,r){e.valueInds.push(t),e.count+=r}function aVt(e,t){t==null?t=[]:t=t.map(function(u){return u});var r={},n={},i=[];t.forEach(function(u,c){r[u]=0,n[u]=c});for(var a=0;a<e.length;a++){var o=e[a],s;r[o]===void 0?(r[o]=1,s=t.push(o)-1,n[o]=s):(r[o]++,s=n[o]),i.push(s)}var l=t.map(function(u){return r[u]});return{uniqueValues:t,uniqueCounts:l,inds:i}}function oVt(e){var t=e.map(function(n){return n.displayindex}),r;if(lVt(t))for(r=0;r<e.length;r++)e[r]._displayindex=e[r].displayindex;else for(r=0;r<e.length;r++)e[r]._displayindex=r}function sVt(e,t){e._categoryarray=t.uniqueValues,e.ticktext===null||e.ticktext===void 0?e._ticktext=[]:e._ticktext=e.ticktext.slice();for(var r=e._ticktext.length;r<t.uniqueValues.length;r++)e._ticktext.push(t.uniqueValues[r])}function lVt(e){for(var t=new Array(e.length),r=0;r<e.length;r++){if(e[r]<0||e[r]>=e.length||t[e[r]]!==void 0)return!1;t[e[r]]=!0}return!0}});var ZNe=ye((lyr,WNe)=>{\"use strict\";var ul=xa(),uVt=(R2(),ab(I2)).interpolateNumber,cVt=qP(),Ck=Nc(),mx=Mr(),Ek=mx.strTranslate,BNe=ao(),MK=id(),fVt=Ll();function hVt(e,t,r,n){var i=t._context.staticPlot,a=e.map(EVt.bind(0,t,r)),o=n.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",i?\"none\":\"all\");var s=o.selectAll(\"g.trace.parcats\").data(a,u1),l=s.enter().append(\"g\").attr(\"class\",\"trace parcats\");s.attr(\"transform\",function(E){return Ek(E.x,E.y)}),l.append(\"g\").attr(\"class\",\"paths\");var u=s.select(\"g.paths\"),c=u.selectAll(\"path.path\").data(function(E){return E.paths},u1);c.attr(\"fill\",function(E){return E.model.color});var f=c.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(E){return E.model.color}).attr(\"fill-opacity\",0);CK(f),c.attr(\"d\",function(E){return E.svgD}),f.empty()||c.sort(EK),c.exit().remove(),c.on(\"mouseover\",dVt).on(\"mouseout\",vVt).on(\"click\",pVt),l.append(\"g\").attr(\"class\",\"dimensions\");var h=s.select(\"g.dimensions\"),d=h.selectAll(\"g.dimension\").data(function(E){return E.dimensions},u1);d.enter().append(\"g\").attr(\"class\",\"dimension\"),d.attr(\"transform\",function(E){return Ek(E.x,0)}),d.exit().remove();var v=d.selectAll(\"g.category\").data(function(E){return E.categories},u1),x=v.enter().append(\"g\").attr(\"class\",\"category\");v.attr(\"transform\",function(E){return Ek(0,E.y)}),x.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),v.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",function(E){return E.width}).attr(\"height\",function(E){return E.height}),UNe(x);var b=v.selectAll(\"rect.bandrect\").data(function(E){return E.bands},u1);b.each(function(){mx.raiseToTop(this)}),b.attr(\"fill\",function(E){return E.color});var g=b.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",function(E){return E.color}).attr(\"fill-opacity\",0);b.attr(\"fill\",function(E){return E.color}).attr(\"width\",function(E){return E.width}).attr(\"height\",function(E){return E.height}).attr(\"y\",function(E){return E.y}).attr(\"cursor\",function(E){return E.parcatsViewModel.arrangement===\"fixed\"?\"default\":E.parcatsViewModel.arrangement===\"perpendicular\"?\"ns-resize\":\"move\"}),PK(g),b.exit().remove(),x.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),v.select(\"text.catlabel\").attr(\"text-anchor\",function(E){return kk(E)?\"start\":\"end\"}).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",function(E){return kk(E)?E.width+5:-5}).attr(\"y\",function(E){return E.height/2}).text(function(E){return E.model.categoryLabel}).each(function(E){BNe.font(ul.select(this),E.parcatsViewModel.categorylabelfont),fVt.convertToTspans(ul.select(this),t)}),x.append(\"text\").attr(\"class\",\"dimlabel\"),v.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",function(E){return E.parcatsViewModel.arrangement===\"fixed\"?\"default\":\"ew-resize\"}).attr(\"x\",function(E){return E.width/2}).attr(\"y\",-5).text(function(E,k){return k===0?E.parcatsViewModel.model.dimensions[E.model.dimensionInd].dimensionLabel:null}).each(function(E){BNe.font(ul.select(this),E.parcatsViewModel.labelfont)}),v.selectAll(\"rect.bandrect\").on(\"mouseover\",wVt).on(\"mouseout\",TVt),v.exit().remove(),d.call(ul.behavior.drag().origin(function(E){return{x:E.x,y:0}}).on(\"dragstart\",AVt).on(\"drag\",SVt).on(\"dragend\",MVt)),s.each(function(E){E.traceSelection=ul.select(this),E.pathSelection=ul.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),E.dimensionSelection=ul.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")}),s.exit().remove()}WNe.exports=function(e,t,r,n){hVt(r,e,n,t)};function u1(e){return e.key}function kk(e){var t=e.parcatsViewModel.dimensions.length,r=e.parcatsViewModel.dimensions[t-1].model.dimensionInd;return e.model.dimensionInd===r}function EK(e,t){return e.model.rawColor>t.model.rawColor?1:e.model.rawColor<t.model.rawColor?-1:0}function dVt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){mx.raiseToTop(this),LK(ul.select(this));var t=Lk(e),r=kK(e);if(e.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:t,event:ul.event,constraints:r}),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var n=ul.mouse(this)[0],i=e.parcatsViewModel.graphDiv,a=e.parcatsViewModel.trace,o=i._fullLayout,s=o._paperdiv.node().getBoundingClientRect(),l=e.parcatsViewModel.graphDiv.getBoundingClientRect(),u,c,f;for(f=0;f<e.leftXs.length-1;f++)if(e.leftXs[f]+e.dimWidths[f]-2<=n&&n<=e.leftXs[f+1]+2){var h=e.parcatsViewModel.dimensions[f],d=e.parcatsViewModel.dimensions[f+1];u=(h.x+h.width+d.x)/2,c=(e.topYs[f]+e.topYs[f+1]+e.height)/2;break}var v=e.parcatsViewModel.x+u,x=e.parcatsViewModel.y+c,b=MK.mostReadable(e.model.color,[\"black\",\"white\"]),g=e.model.count,E=g/e.parcatsViewModel.model.count,k={countLabel:g,probabilityLabel:E.toFixed(3)},A=[];e.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&A.push([\"Count:\",k.countLabel].join(\" \")),e.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&A.push([\"P:\",k.probabilityLabel].join(\" \"));var L=A.join(\"<br>\"),_=ul.mouse(i)[0];Ck.loneHover({trace:a,x:v-s.left+l.left,y:x-s.top+l.top,text:L,color:e.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:b,idealAlign:_<v?\"right\":\"left\",hovertemplate:(a.line||{}).hovertemplate,hovertemplateLabels:k,eventData:[{data:a._input,fullData:a,count:g,probability:E}]},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:i})}}}function vVt(e){if(!e.parcatsViewModel.dragDimension&&(CK(ul.select(this)),Ck.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),e.parcatsViewModel.pathSelection.sort(EK),e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1)){var t=Lk(e),r=kK(e);e.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:t,event:ul.event,constraints:r})}}function Lk(e){for(var t=[],r=HNe(e.parcatsViewModel),n=0;n<e.model.valueInds.length;n++){var i=e.model.valueInds[n];t.push({curveNumber:r,pointNumber:i})}return t}function kK(e){for(var t={},r=e.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[e.model.categoryInds[n]];t[i.containerInd]=a.categoryValue}return e.model.rawColor!==void 0&&(t.color=e.model.rawColor),t}function pVt(e){if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Lk(e),r=kK(e);e.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:t,event:ul.event,constraints:r})}}function CK(e){e.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function LK(e){e.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return MK.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function gVt(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}function UNe(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function mVt(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}function PK(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function qF(e){var t=e.parcatsViewModel.pathSelection,r=e.categoryViewModel.model.dimensionInd,n=e.categoryViewModel.model.categoryInd;return t.filter(function(i){return i.model.categoryInds[r]===n&&i.model.color===e.color})}function yVt(e){var t=ul.select(e.parentNode).selectAll(\"rect.bandrect\");t.each(function(r){var n=qF(r);LK(n),n.each(function(){mx.raiseToTop(this)})}),gVt(ul.select(e.parentNode))}function _Vt(e){var t=ul.select(e).datum(),r=qF(t);LK(r),r.each(function(){mx.raiseToTop(this)}),ul.select(e.parentNode).selectAll(\"rect.bandrect\").filter(function(n){return n.color===t.color}).each(function(){mx.raiseToTop(this),mVt(ul.select(this))})}function IK(e,t,r){var n=ul.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=ul.select(e.parentNode).selectAll(\"rect.bandrect\"),s=[];o.each(function(u){var c=qF(u);c.each(function(f){Array.prototype.push.apply(s,Lk(f))})});var l={};l[i.dimensionInd]=i.categoryValue,a.emit(t,{points:s,event:r,constraints:l})}function RK(e,t,r){var n=ul.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=qF(n),s=[];o.each(function(u){Array.prototype.push.apply(s,Lk(u))});var l={};l[i.dimensionInd]=i.categoryValue,n.rawColor!==void 0&&(l.color=n.rawColor),a.emit(t,{points:s,event:r,constraints:l})}function VNe(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=ul.select(r.parentNode).select(\"rect.catrect\"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=o.top+o.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=o.left,d=\"left\"):(h=o.left+o.width,d=\"right\");var v=s.model.count,x=s.model.categoryLabel,b=v/s.parcatsViewModel.model.count,g={countLabel:v,categoryLabel:x,probabilityLabel:b.toFixed(3)},E=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&E.push([\"Count:\",g.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&E.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var k=E.join(\"<br>\");return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:k,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:g,eventData:[{data:c._input,fullData:c,count:v,category:x,probability:b}]}}function xVt(e,t,r){var n=[];return ul.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){var i=this;n.push(VNe(e,t,i))}),n}function bVt(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=r.getBoundingClientRect(),o=ul.select(r).datum(),s=o.categoryViewModel,l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=a.y+a.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=a.left,d=\"left\"):(h=a.left+a.width,d=\"right\");var v=s.model.categoryLabel,x=o.parcatsViewModel.model.count,b=0;o.categoryViewModel.bands.forEach(function(P){P.color===o.color&&(b+=P.count)});var g=s.model.count,E=0;l.pathSelection.each(function(P){P.model.color===o.color&&(E+=P.model.count)});var k=b/x,A=b/E,L=b/g,_={countLabel:b,categoryLabel:v,probabilityLabel:k.toFixed(3)},C=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&C.push([\"Count:\",_.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&(C.push(\"P(color \\u2229 \"+v+\"): \"+_.probabilityLabel),C.push(\"P(\"+v+\" | color): \"+A.toFixed(3)),C.push(\"P(color | \"+v+\"): \"+L.toFixed(3)));var M=C.join(\"<br>\"),p=MK.mostReadable(o.color,[\"black\",\"white\"]);return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:M,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:p,fontSize:10,idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:_,eventData:[{data:c._input,fullData:c,category:v,count:x,probability:k,categorycount:g,colorcount:E,bandcolorcount:b}]}}function wVt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=ul.mouse(this)[1];if(t<-1)return;var r=e.parcatsViewModel.graphDiv,n=r._fullLayout,i=n._paperdiv.node().getBoundingClientRect(),a=e.parcatsViewModel.hoveron,o=this;if(a===\"color\"?(_Vt(o),RK(o,\"plotly_hover\",ul.event)):(yVt(o),IK(o,\"plotly_hover\",ul.event)),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var s;a===\"category\"?s=VNe(r,i,o):a===\"color\"?s=bVt(r,i,o):a===\"dimension\"&&(s=xVt(r,i,o)),s&&Ck.loneHover(s,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:r})}}}function TVt(e){var t=e.parcatsViewModel;if(!t.dragDimension&&(CK(t.pathSelection),UNe(t.dimensionSelection.selectAll(\"g.category\")),PK(t.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),Ck.loneUnhover(t.graphDiv._fullLayout._hoverlayer.node()),t.pathSelection.sort(EK),t.hoverinfoItems.indexOf(\"skip\")===-1)){var r=e.parcatsViewModel.hoveron,n=this;r===\"color\"?RK(n,\"plotly_unhover\",ul.event):IK(n,\"plotly_unhover\",ul.event)}}function AVt(e){e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragDimensionDisplayInd=e.model.displayInd,e.initialDragDimensionDisplayInds=e.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),e.dragHasMoved=!1,e.dragCategoryDisplayInd=null,ul.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(t){var r=ul.mouse(this)[0],n=ul.mouse(this)[1];-2<=r&&r<=t.width+2&&-2<=n&&n<=t.height+2&&(e.dragCategoryDisplayInd=t.model.displayInd,e.initialDragCategoryDisplayInds=e.model.categories.map(function(i){return i.displayInd}),t.model.dragY=t.y,mx.raiseToTop(this.parentNode),ul.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(i){i.y<n&&n<=i.y+i.height&&(e.potentialClickBand=this)}))}),e.parcatsViewModel.dragDimension=e,Ck.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function SVt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragHasMoved=!0,e.dragDimensionDisplayInd!==null)){var t=e.dragDimensionDisplayInd,r=t-1,n=t+1,i=e.parcatsViewModel.dimensions[t];if(e.dragCategoryDisplayInd!==null){var a=i.categories[e.dragCategoryDisplayInd];a.model.dragY+=ul.event.dy;var o=a.model.dragY,s=a.model.displayInd,l=i.categories,u=l[s-1],c=l[s+1];u!==void 0&&o<u.y+u.height/2&&(a.model.displayInd=u.model.displayInd,u.model.displayInd=s),c!==void 0&&o+a.height>c.y+c.height/2&&(a.model.displayInd=c.model.displayInd,c.model.displayInd=s),e.dragCategoryDisplayInd=a.model.displayInd}if(e.dragCategoryDisplayInd===null||e.parcatsViewModel.arrangement===\"freeform\"){i.model.dragX=ul.event.x;var f=e.parcatsViewModel.dimensions[r],h=e.parcatsViewModel.dimensions[n];f!==void 0&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=t),h!==void 0&&i.model.dragX+i.width>h.x&&(i.model.displayInd=h.model.displayInd,h.model.displayInd=e.dragDimensionDisplayInd),e.dragDimensionDisplayInd=i.model.displayInd}zK(e.parcatsViewModel),DK(e.parcatsViewModel),jNe(e.parcatsViewModel),GNe(e.parcatsViewModel)}}function MVt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&e.dragDimensionDisplayInd!==null){ul.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var t={},r=HNe(e.parcatsViewModel),n=e.parcatsViewModel.model.dimensions.map(function(h){return h.displayInd}),i=e.initialDragDimensionDisplayInds.some(function(h,d){return h!==n[d]});i&&n.forEach(function(h,d){var v=e.parcatsViewModel.model.dimensions[d].containerInd;t[\"dimensions[\"+v+\"].displayindex\"]=h});var a=!1;if(e.dragCategoryDisplayInd!==null){var o=e.model.categories.map(function(h){return h.displayInd});if(a=e.initialDragCategoryDisplayInds.some(function(h,d){return h!==o[d]}),a){var s=e.model.categories.slice().sort(function(h,d){return h.displayInd-d.displayInd}),l=s.map(function(h){return h.categoryValue}),u=s.map(function(h){return h.categoryLabel});t[\"dimensions[\"+e.model.containerInd+\"].categoryarray\"]=[l],t[\"dimensions[\"+e.model.containerInd+\"].ticktext\"]=[u],t[\"dimensions[\"+e.model.containerInd+\"].categoryorder\"]=\"array\"}}if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1&&!e.dragHasMoved&&e.potentialClickBand&&(e.parcatsViewModel.hoveron===\"color\"?RK(e.potentialClickBand,\"plotly_click\",ul.event.sourceEvent):IK(e.potentialClickBand,\"plotly_click\",ul.event.sourceEvent)),e.model.dragX=null,e.dragCategoryDisplayInd!==null){var c=e.parcatsViewModel.dimensions[e.dragDimensionDisplayInd].categories[e.dragCategoryDisplayInd];c.model.dragY=null,e.dragCategoryDisplayInd=null}e.dragDimensionDisplayInd=null,e.parcatsViewModel.dragDimension=null,e.dragHasMoved=null,e.potentialClickBand=null,zK(e.parcatsViewModel),DK(e.parcatsViewModel);var f=ul.transition().duration(300).ease(\"cubic-in-out\");f.each(function(){jNe(e.parcatsViewModel,!0),GNe(e.parcatsViewModel,!0)}).each(\"end\",function(){(i||a)&&cVt.restyle(e.parcatsViewModel.graphDiv,t,[r])})}}function HNe(e){for(var t,r=e.graphDiv._fullData,n=0;n<r.length;n++)if(e.key===r[n].uid){t=n;break}return t}function GNe(e,t){t===void 0&&(t=!1);function r(n){return t?n.transition():n}e.pathSelection.data(function(n){return n.paths},u1),r(e.pathSelection).attr(\"d\",function(n){return n.svgD})}function jNe(e,t){t===void 0&&(t=!1);function r(l){return t?l.transition():l}e.dimensionSelection.data(function(l){return l.dimensions},u1);var n=e.dimensionSelection.selectAll(\"g.category\").data(function(l){return l.categories},u1);r(e.dimensionSelection).attr(\"transform\",function(l){return Ek(l.x,0)}),r(n).attr(\"transform\",function(l){return Ek(0,l.y)});var i=n.select(\".dimlabel\");i.text(function(l,u){return u===0?l.parcatsViewModel.model.dimensions[l.model.dimensionInd].dimensionLabel:null});var a=n.select(\".catlabel\");a.attr(\"text-anchor\",function(l){return kk(l)?\"start\":\"end\"}).attr(\"x\",function(l){return kk(l)?l.width+5:-5}).each(function(l){var u,c;kk(l)?(u=l.width+5,c=\"start\"):(u=-5,c=\"end\"),ul.select(this).selectAll(\"tspan\").attr(\"x\",u).attr(\"text-anchor\",c)});var o=n.selectAll(\"rect.bandrect\").data(function(l){return l.bands},u1),s=o.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(l){return l.color}).attr(\"fill-opacity\",0);o.attr(\"fill\",function(l){return l.color}).attr(\"width\",function(l){return l.width}).attr(\"height\",function(l){return l.height}).attr(\"y\",function(l){return l.y}),PK(s),o.each(function(){mx.raiseToTop(this)}),o.exit().remove()}function EVt(e,t,r){var n=r[0],i=t.margin||{l:80,r:80,t:100,b:80},a=n.trace,o=a.domain,s=t.width,l=t.height,u=Math.floor(s*(o.x[1]-o.x[0])),c=Math.floor(l*(o.y[1]-o.y[0])),f=o.x[0]*s+i.l,h=t.height-o.y[1]*t.height+i.t,d=a.line.shape,v;a.hoverinfo===\"all\"?v=[\"count\",\"probability\"]:v=(a.hoverinfo||\"\").split(\"+\");var x={trace:a,key:a.uid,model:n,x:f,y:h,width:u,height:c,hoveron:a.hoveron,hoverinfoItems:v,arrangement:a.arrangement,bundlecolors:a.bundlecolors,sortpaths:a.sortpaths,labelfont:a.labelfont,categorylabelfont:a.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:e,traceSelection:null,pathSelection:null,dimensionSelection:null};return n.dimensions&&(zK(x),DK(x)),x}function NNe(e,t,r,n,i){var a=[],o=[],s,l;for(l=0;l<r.length-1;l++)s=uVt(r[l]+e[l],e[l+1]),a.push(s(i)),o.push(s(1-i));var u=\"M \"+e[0]+\",\"+t[0];for(u+=\"l\"+r[0]+\",0 \",l=1;l<r.length;l++)u+=\"C\"+a[l-1]+\",\"+t[l-1]+\" \"+o[l-1]+\",\"+t[l]+\" \"+e[l]+\",\"+t[l],u+=\"l\"+r[l]+\",0 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e.sortpaths===\"backward\"&&(H.reverse(),X.reverse()),H.push(q.valueInds[0]),X.push(V.valueInds[0]),e.bundlecolors&&(H.unshift(q.rawColor),X.unshift(V.rawColor)),H<X?-1:H>X?1:0});for(var h=new Array(u.length),d=t[0].model.count,v=t[0].categories.map(function(q){return q.height}).reduce(function(q,V){return q+V}),x=0;x<u.length;x++){var b=u[x],g;d>0?g=v*(b.count/d):g=0;for(var E=new Array(n.length),k=0;k<b.categoryInds.length;k++){var A=b.categoryInds[k],L=i[k][A],_=a[k];E[_]=n[_][L],n[_][L]+=g;var C=e.dimensions[_].categories[L],M=C.bands.length,p=C.bands[M-1];if(p===void 0||b.rawColor!==p.rawColor){var P=p===void 0?0:p.y+p.height;C.bands.push({key:P,color:b.color,rawColor:b.rawColor,height:g,width:C.width,count:b.count,y:P,categoryViewModel:C,parcatsViewModel:e})}else{var T=C.bands[M-1];T.height+=g,T.count+=b.count}}var F;e.pathShape===\"hspline\"?F=NNe(s,E,l,g,.5):F=NNe(s,E,l,g,0),h[x]={key:b.valueInds[0],model:b,height:g,leftXs:s,topYs:E,dimWidths:l,svgD:F,parcatsViewModel:e}}e.paths=h}function zK(e){var t=e.model.dimensions.map(function(o){return{displayInd:o.displayInd,dimensionInd:o.dimensionInd}});t.sort(function(o,s){return o.displayInd-s.displayInd});var r=[];for(var n in t){var i=t[n].dimensionInd,a=e.model.dimensions[i];r.push(kVt(e,a))}e.dimensions=r}function kVt(e,t){var r=40,n=16,i=e.model.dimensions.length,a=t.displayInd,o,s,l;i>1?o=(e.width-2*r-n)/(i-1):o=0,s=r,l=s+o*a;var u=[],c=e.model.maxCats,f=t.categories.length,h=8,d=t.count,v=e.height-h*(c-1),x,b,g,E,k,A=(c-f)*h/2,L=t.categories.map(function(_){return{displayInd:_.displayInd,categoryInd:_.categoryInd}});for(L.sort(function(_,C){return 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lUe=Mr(),uUe=va().defaultLine,DVt=Ju().attributes,zVt=Su(),FVt=Uc().textposition,qVt=Bu().overrideAll,OVt=Vs().templatedArray,qK=c1(),cUe=zVt({noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0});cUe.family.dflt=\"Open Sans Regular, Arial Unicode MS Regular\";var BVt=fUe.exports=qVt({_arrayAttrRegexps:[lUe.counterRegex(\"mapbox\",\".layers\",!0)],domain:DVt({name:\"mapbox\"}),accesstoken:{valType:\"string\",noBlank:!0,strict:!0},style:{valType:\"any\",values:qK.styleValuesMapbox.concat(qK.styleValuesNonMapbox),dflt:qK.styleValueDflt},center:{lon:{valType:\"number\",dflt:0},lat:{valType:\"number\",dflt:0}},zoom:{valType:\"number\",dflt:1},bearing:{valType:\"number\",dflt:0},pitch:{valType:\"number\",dflt:0},bounds:{west:{valType:\"number\"},east:{valType:\"number\"},south:{valType:\"number\"},north:{valType:\"number\"}},layers:OVt(\"layer\",{visible:{valType:\"boolean\",dflt:!0},sourcetype:{valType:\"enumerated\",values:[\"geojson\",\"vector\",\"raster\",\"image\"],dflt:\"geojson\"},source:{valType:\"any\"},sourcelayer:{valType:\"string\",dflt:\"\"},sourceattribution:{valType:\"string\"},type:{valType:\"enumerated\",values:[\"circle\",\"line\",\"fill\",\"symbol\",\"raster\"],dflt:\"circle\"},coordinates:{valType:\"any\"},below:{valType:\"string\"},color:{valType:\"color\",dflt:uUe},opacity:{valType:\"number\",min:0,max:1,dflt:1},minzoom:{valType:\"number\",min:0,max:24,dflt:0},maxzoom:{valType:\"number\",min:0,max:24,dflt:24},circle:{radius:{valType:\"number\",dflt:15}},line:{width:{valType:\"number\",dflt:2},dash:{valType:\"data_array\"}},fill:{outlinecolor:{valType:\"color\",dflt:uUe}},symbol:{icon:{valType:\"string\",dflt:\"marker\"},iconsize:{valType:\"number\",dflt:10},text:{valType:\"string\",dflt:\"\"},placement:{valType:\"enumerated\",values:[\"point\",\"line\",\"line-center\"],dflt:\"point\"},textfont:cUe,textposition:lUe.extendFlat({},FVt,{arrayOk:!1})}})},\"plot\",\"from-root\");BVt.uirevision={valType:\"any\",editType:\"none\"}});var BF=ye((pyr,vUe)=>{\"use strict\";var NVt=Wo().hovertemplateAttrs,UVt=Wo().texttemplateAttrs,VVt=Eg(),Ik=H2(),xA=Uc(),hUe=Pk(),HVt=vl(),GVt=Kl(),ew=no().extendFlat,jVt=Bu().overrideAll,WVt=Pk(),dUe=Ik.line,bA=Ik.marker;vUe.exports=jVt({lon:Ik.lon,lat:Ik.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:ew({},WVt.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:ew({},bA.opacity,{dflt:1})},mode:ew({},xA.mode,{dflt:\"markers\"}),text:ew({},xA.text,{}),texttemplate:UVt({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:ew({},xA.hovertext,{}),line:{color:dUe.color,width:dUe.width},connectgaps:xA.connectgaps,marker:ew({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:bA.opacity,size:bA.size,sizeref:bA.sizeref,sizemin:bA.sizemin,sizemode:bA.sizemode},GVt(\"marker\")),fill:Ik.fill,fillcolor:VVt(),textfont:hUe.layers.symbol.textfont,textposition:hUe.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:xA.selected.marker},unselected:{marker:xA.unselected.marker},hoverinfo:ew({},HVt.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:NVt()},\"calc\",\"nested\")});var OK=ye((gyr,pUe)=>{\"use strict\";var ZVt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];pUe.exports={isSupportedFont:function(e){return ZVt.indexOf(e)!==-1}}});var yUe=ye((myr,mUe)=>{\"use strict\";var Rk=Mr(),BK=lu(),XVt=$p(),YVt=R0(),KVt=D0(),JVt=Ig(),gUe=BF(),$Vt=OK().isSupportedFont;mUe.exports=function(t,r,n,i){function a(g,E){return Rk.coerce(t,r,gUe,g,E)}function o(g,E){return Rk.coerce2(t,r,gUe,g,E)}var s=QVt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),a(\"below\"),BK.hasMarkers(r)){XVt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Rk.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Rk.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}BK.hasLines(r)&&(YVt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,x=a(\"cluster.enabled\",v);if(x||BK.hasText(r)){var b=i.font.family;KVt(t,r,i,a,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:$Vt(b)?b:\"Open Sans Regular\",weight:i.font.weight,style:i.font.style,size:i.font.size,color:i.font.color}})}a(\"fill\"),r.fill!==\"none\"&&JVt(t,r,n,a),Rk.coerceSelectionMarkerOpacity(r,a)};function QVt(e,t,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return t._length=a,a}});var NK=ye((yyr,xUe)=>{\"use strict\";var _Ue=Qa();xUe.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot,o=a.mockAxis,s=t.lonlat;return i.lonLabel=_Ue.tickText(o,o.c2l(s[0]),!0).text,i.latLabel=_Ue.tickText(o,o.c2l(s[1]),!0).text,i}});var UK=ye((_yr,wUe)=>{\"use strict\";var bUe=Mr();wUe.exports=function(t,r){var n=t.split(\" 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g;if((a||o)&&(g=UF.calcTraceToLineCoords(r)),a&&(h.geojson=UF.makePolygon(g),h.layout.visibility=\"visible\",iv.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=UF.makeLine(g),d.layout.visibility=\"visible\",iv.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var E=lHt(r);v.geojson=E.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":HK(n.cluster.color,n.cluster.step),\"circle-radius\":HK(n.cluster.size,n.cluster.step),\"circle-opacity\":HK(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":AUe(n),\"text-size\":12}}),iv.extendFlat(v.paint,{\"circle-color\":E.mcc,\"circle-radius\":E.mrc,\"circle-opacity\":E.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(x.geojson=uHt(r,t),iv.extendFlat(x.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(iv.extendFlat(x.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in n.marker&&n.marker.angle!==\"auto\"&&iv.extendFlat(x.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),x.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,iv.extendFlat(x.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var k=(n.marker||{}).size,A=nHt(n.textposition,k);iv.extendFlat(x.layout,{\"text-size\":n.textfont.size,\"text-anchor\":A.anchor,\"text-offset\":A.offset,\"text-font\":AUe(n)}),iv.extendFlat(x.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function NF(e){return{type:e,geojson:UF.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function lHt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=iv.isArrayOrTypedArray(r.color),a=iv.isArrayOrTypedArray(r.size),o=iv.isArrayOrTypedArray(r.opacity),s;function l(k){return t.opacity*k}function u(k){return k/2}var c;i&&(TUe.hasColorscale(t,\"marker\")?c=TUe.makeColorScaleFuncFromTrace(r):c=iv.identity);var f;a&&(f=rHt(t));var h;o&&(h=function(k){var A=SUe(k)?+iv.constrain(k,0,1):0;return l(A)});var d=[];for(s=0;s<e.length;s++){var v=e[s],x=v.lonlat;if(!MUe(x)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:x},properties:b})}}var g;if(n)for(g=tHt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var E=d[s].properties;g.selectedOpacityFn&&(E.mo=l(g.selectedOpacityFn(E))),g.selectedColorFn&&(E.mcc=g.selectedColorFn(E)),g.selectedSizeFn&&(E.mrc=g.selectedSizeFn(E))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||g&&g.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||g&&g.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||g&&g.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function uHt(e,t){for(var r=t._fullLayout,n=e[0].trace,i=n.marker||{},a=i.symbol,o=i.angle,s=a!==\"circle\"?VK(a):HF,l=o!==\"auto\"?VK(o,!0):HF,u=VF.hasText(n)?VK(n.text):HF,c=[],f=0;f<e.length;f++){var h=e[f];if(!MUe(h.lonlat)){var d=n.texttemplate,v;if(d){var x=Array.isArray(d)?d[f]||\"\":d,b=n._module.formatLabels(h,n,r),g={};aHt(g,n,h.i);var E=n._meta||{};v=iv.texttemplateString(x,b,r._d3locale,g,h,E)}else v=u(f);v&&(v=v.replace(oHt,\"\").replace(sHt,`\n",
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LUe(e,t,r,n){this.type=\"scattermapbox\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:wA+t+\"-fill\",line:wA+t+\"-line\",circle:wA+t+\"-circle\",symbol:wA+t+\"-symbol\",cluster:wA+t+\"-cluster\",clusterCount:wA+t+\"-cluster-count\"},this.below=null}var Dk=LUe.prototype;Dk.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&cHt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};Dk.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};Dk.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};Dk.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=CUe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(k){k||u.addSource(\"circle\",a.circle,r.cluster);for(var A=rg.cluster,L=0;L<A.length;L++){var _=A[L],C=a[_];u.addLayer(_,C,o)}}function f(k){for(var A=rg.cluster,L=A.length-1;L>=0;L--){var _=A[L];i.removeLayer(u.layerIds[_])}k||i.removeSource(u.sourceIds.circle)}function h(k){for(var A=rg.nonCluster,L=0;L<A.length;L++){var _=A[L],C=a[_];k||u.addSource(_,C),u.addLayer(_,C,o)}}function d(k){for(var A=rg.nonCluster,L=A.length-1;L>=0;L--){var _=A[L];i.removeLayer(u.layerIds[_]),k||i.removeSource(u.sourceIds[_])}}function v(k){l?f(k):d(k)}function x(k){s?c(k):h(k)}function b(){for(var k=s?rg.cluster:rg.nonCluster,A=0;A<k.length;A++){var L=k[A],_=a[L];_&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",_.layout),_.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,_),n.setOptions(u.layerIds[L],\"setPaintProperty\",_.paint)))}}var g=this.isHidden,E=r.visible!==!0;E?g||v():g?E||x():l!==s?(v(),x()):(this.below!==o&&(v(!0),x(!0)),b()),this.clusterEnabled=s,this.isHidden=E,this.below=o,t[0].trace._glTrace=this};Dk.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?rg.cluster:rg.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};PUe.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new LUe(t,n.uid,i,a),s=CUe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<rg.cluster.length;u++)c=rg.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<rg.nonCluster.length;u++)c=rg.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var GF=ye((wyr,DUe)=>{\"use strict\";var fHt=Nc(),GK=Mr(),hHt=oT(),dHt=GK.fillText,vHt=es().BADNUM,pHt=c1().traceLayerPrefix;function gHt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=pHt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(M){return M.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function x(M){var p=M.lonlat;if(p[0]===vHt||c&&l.indexOf(M.i+1)===-1)return 1/0;var P=GK.modHalf(p[0],360),T=p[1],F=s.project([P,T]),q=F.x-a.c2p([v,T]),V=F.y-o.c2p([P,r]),H=Math.max(3,M.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-H,1-3/H)}if(fHt.getClosest(n,x,e),e.index!==!1){var b=n[e.index],g=b.lonlat,E=[GK.modHalf(g[0],360)+d,g[1]],k=a.c2p(E),A=o.c2p(E),L=b.mrc||1;e.x0=k-L,e.x1=k+L,e.y0=A-L,e.y1=A+L;var _={};_[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,_);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=hHt(i,b),e.extraText=RUe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function RUe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&dHt(t,e,u),u.join(\"<br>\")}DUe.exports={hoverPoints:gHt,getExtraText:RUe}});var FUe=ye((Tyr,zUe)=>{\"use strict\";zUe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var OUe=ye((Ayr,qUe)=>{\"use strict\";var mHt=Mr(),yHt=lu(),_Ht=es().BADNUM;qUe.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l;if(!yHt.hasMarkers(s))return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++){var u=n[l],c=u.lonlat;if(c[0]!==_Ht){var f=[mHt.modHalf(c[0],360),c[1]],h=[i.c2p(f),a.c2p(f)];r.contains(h,null,l,t)?(o.push({pointNumber:l,lon:c[0],lat:c[1]}),u.selected=1):u.selected=0}}return o}});var ZK=ye((jK,WK)=>{(function(e,t){typeof jK==\"object\"&&typeof WK!=\"undefined\"?WK.exports=t():typeof define==\"function\"&&define.amd?define(t):(e=e||self,e.mapboxgl=t())})(jK,function(){\"use strict\";var e,t,r;function n(i,a){if(!e)e=a;else if(!t)t=a;else{var o=\"var sharedChunk = {}; (\"+e+\")(sharedChunk); (\"+t+\")(sharedChunk);\",s={};e(s),r=a(s),typeof window!=\"undefined\"&&(r.workerUrl=window.URL.createObjectURL(new Blob([o],{type:\"text/javascript\"})))}}return n([\"exports\"],function(i){\"use strict\";function a(m,y){return 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I=this.index.evaluate(y),U=this.input.evaluate(y);if(I<0)throw new Ms(\"Array index out of bounds: \"+I+\" < 0.\");if(I>=U.length)throw new Ms(\"Array index out of bounds: \"+I+\" > \"+(U.length-1)+\".\");if(I!==Math.floor(I))throw new Ms(\"Array index must be an integer, but found \"+I+\" instead.\");return U[I]},gc.prototype.eachChild=function(y){y(this.index),y(this.input)},gc.prototype.outputDefined=function(){return!1},gc.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var hl=function(y,I){this.type=Co,this.needle=y,this.haystack=I};hl.parse=function(y,I){if(y.length!==3)return I.error(\"Expected 2 arguments, but found \"+(y.length-1)+\" instead.\");var U=I.parse(y[1],1,So),J=I.parse(y[2],2,So);return!U||!J?null:Of(U.type,[Co,ko,Zn,Ec,So])?new hl(U,J):I.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Ls(U.type)+\" instead\")},hl.prototype.evaluate=function(y){var I=this.needle.evaluate(y),U=this.haystack.evaluate(y);if(!U)return!1;if(!Gc(I,[\"boolean\",\"string\",\"number\",\"null\"]))throw new Ms(\"Expected first argument to be of type boolean, string, number or null, but found \"+Ls(ws(I))+\" instead.\");if(!Gc(U,[\"string\",\"array\"]))throw new Ms(\"Expected second argument to be of type array or string, but found \"+Ls(ws(U))+\" instead.\");return U.indexOf(I)>=0},hl.prototype.eachChild=function(y){y(this.needle),y(this.haystack)},hl.prototype.outputDefined=function(){return!0},hl.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var ru=function(y,I,U){this.type=Zn,this.needle=y,this.haystack=I,this.fromIndex=U};ru.parse=function(y,I){if(y.length<=2||y.length>=5)return I.error(\"Expected 3 or 4 arguments, but found \"+(y.length-1)+\" instead.\");var U=I.parse(y[1],1,So),J=I.parse(y[2],2,So);if(!U||!J)return null;if(!Of(U.type,[Co,ko,Zn,Ec,So]))return I.error(\"Expected first argument to be of 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Ru(m.default,y.default);var U=m.stops.length;if(U===1||I<=m.stops[0][0])return m.stops[0][1];if(I>=m.stops[U-1][0])return m.stops[U-1][1];var J=ic(m.stops.map(function(ne){return ne[0]}),I);return m.stops[J][1]}function bu(m,y,I){var U=m.base!==void 0?m.base:1;if(Ka(I)!==\"number\")return Ru(m.default,y.default);var J=m.stops.length;if(J===1||I<=m.stops[0][0])return m.stops[0][1];if(I>=m.stops[J-1][0])return m.stops[J-1][1];var ne=ic(m.stops.map(function(Xt){return Xt[0]}),I),fe=Du(I,U,m.stops[ne][0],m.stops[ne+1][0]),Fe=m.stops[ne][1],Qe=m.stops[ne+1][1],st=Gu[y.type]||Ko;if(m.colorSpace&&m.colorSpace!==\"rgb\"){var mt=Ph[m.colorSpace];st=function(Xt,ur){return mt.reverse(mt.interpolate(mt.forward(Xt),mt.forward(ur),fe))}}return typeof Fe.evaluate==\"function\"?{evaluate:function(){for(var ur=[],nr=arguments.length;nr--;)ur[nr]=arguments[nr];var Lr=Fe.evaluate.apply(void 0,ur),Yr=Qe.evaluate.apply(void 0,ur);if(!(Lr===void 0||Yr===void 0))return st(Lr,Yr,fe)}}:st(Fe,Qe,fe)}function Kc(m,y,I){return y.type===\"color\"?I=ss.parse(I):y.type===\"formatted\"?I=Ul.fromString(I.toString()):y.type===\"resolvedImage\"?I=Js.fromString(I.toString()):Ka(I)!==y.type&&(y.type!==\"enum\"||!y.values[I])&&(I=void 0),Ru(I,m.default,y.default)}function Du(m,y,I,U){var J=U-I,ne=m-I;return J===0?0:y===1?ne/J:(Math.pow(y,ne)-1)/(Math.pow(y,J)-1)}var Dc=function(y,I){this.expression=y,this._warningHistory={},this._evaluator=new $o,this._defaultValue=I?ee(I):null,this._enumValues=I&&I.type===\"enum\"?I.values:null};Dc.prototype.evaluateWithoutErrorHandling=function(y,I,U,J,ne,fe){return this._evaluator.globals=y,this._evaluator.feature=I,this._evaluator.featureState=U,this._evaluator.canonical=J,this._evaluator.availableImages=ne||null,this._evaluator.formattedSection=fe,this.expression.evaluate(this._evaluator)},Dc.prototype.evaluate=function(y,I,U,J,ne,fe){this._evaluator.globals=y,this._evaluator.feature=I||null,this._evaluator.featureState=U||null,this._evaluator.canonical=J,this._evaluator.availableImages=ne||null,this._evaluator.formattedSection=fe||null;try{var Fe=this.expression.evaluate(this._evaluator);if(Fe==null||typeof Fe==\"number\"&&Fe!==Fe)return this._defaultValue;if(this._enumValues&&!(Fe in this._enumValues))throw new Ms(\"Expected value to be one of \"+Object.keys(this._enumValues).map(function(Qe){return JSON.stringify(Qe)}).join(\", \")+\", but found \"+JSON.stringify(Fe)+\" instead.\");return Fe}catch(Qe){return this._warningHistory[Qe.message]||(this._warningHistory[Qe.message]=!0,typeof 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this._styleExpression.evaluateWithoutErrorHandling(y,I,U,J,ne,fe)},yc.prototype.evaluate=function(y,I,U,J,ne,fe){return this._styleExpression.evaluate(y,I,U,J,ne,fe)},yc.prototype.interpolationFactor=function(y,I,U){return this.interpolationType?Rl.interpolationFactor(this.interpolationType,y,I,U):0};function _c(m,y){if(m=eo(m,y),m.result===\"error\")return m;var I=m.value.expression,U=$h(I);if(!U&&!Gs(y))return yl([new Ks(\"\",\"data expressions not supported\")]);var J=Pu(I,[\"zoom\"]);if(!J&&!Rs(y))return yl([new Ks(\"\",\"zoom expressions not supported\")]);var ne=B(I);if(!ne&&!J)return yl([new Ks(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(ne instanceof Ks)return yl([ne]);if(ne instanceof Rl&&!ia(y))return yl([new Ks(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!ne)return Bo(U?new Jc(\"constant\",m.value):new Jc(\"source\",m.value));var fe=ne instanceof Rl?ne.interpolation:void 0;return Bo(U?new yc(\"camera\",m.value,ne.labels,fe):new yc(\"composite\",m.value,ne.labels,fe))}var le=function(y,I){this._parameters=y,this._specification=I,Il(this,iu(this._parameters,this._specification))};le.deserialize=function(y){return new le(y._parameters,y._specification)},le.serialize=function(y){return{_parameters:y._parameters,_specification:y._specification}};function w(m,y){if(vs(m))return new le(m,y);if(Da(m)){var I=_c(m,y);if(I.result===\"error\")throw new Error(I.value.map(function(J){return J.key+\": \"+J.message}).join(\", \"));return I.value}else{var U=m;return typeof m==\"string\"&&y.type===\"color\"&&(U=ss.parse(m)),{kind:\"constant\",evaluate:function(){return U}}}}function B(m){var y=null;if(m instanceof Rc)y=B(m.result);else if(m instanceof Wu)for(var I=0,U=m.args;I<U.length;I+=1){var J=U[I];if(y=B(J),y)break}else(m instanceof yu||m instanceof Rl)&&m.input instanceof Ja&&m.input.name===\"zoom\"&&(y=m);return y instanceof Ks||m.eachChild(function(ne){var fe=B(ne);fe instanceof Ks?y=fe:!y&&fe?y=new Ks(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):y&&fe&&y!==fe&&(y=new Ks(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),y}function Q(m){var y={color:Tl,string:ko,number:Zn,enum:ko,boolean:Co,formatted:Al,resolvedImage:Hc};return m.type===\"array\"?Ql(y[m.value]||So,m.length):y[m.type]}function ee(m){return m.type===\"color\"&&vs(m.default)?new ss(0,0,0,0):m.type===\"color\"?ss.parse(m.default)||null:m.default===void 0?null:m.default}function se(m){var y=m.key,I=m.value,U=m.valueSpec||{},J=m.objectElementValidators||{},ne=m.style,fe=m.styleSpec,Fe=[],Qe=Ka(I);if(Qe!==\"object\")return[new fa(y,I,\"object expected, \"+Qe+\" found\")];for(var st in I){var mt=st.split(\".\")[0],Xt=U[mt]||U[\"*\"],ur=void 0;if(J[mt])ur=J[mt];else if(U[mt])ur=Wa;else if(J[\"*\"])ur=J[\"*\"];else if(U[\"*\"])ur=Wa;else{Fe.push(new fa(y,I[st],'unknown property \"'+st+'\"'));continue}Fe=Fe.concat(ur({key:(y&&y+\".\")+st,value:I[st],valueSpec:Xt,style:ne,styleSpec:fe,object:I,objectKey:st},I))}for(var nr in U)J[nr]||U[nr].required&&U[nr].default===void 0&&I[nr]===void 0&&Fe.push(new fa(y,I,'missing required property \"'+nr+'\"'));return Fe}function qe(m){var y=m.value,I=m.valueSpec,U=m.style,J=m.styleSpec,ne=m.key,fe=m.arrayElementValidator||Wa;if(Ka(y)!==\"array\")return[new fa(ne,y,\"array expected, \"+Ka(y)+\" found\")];if(I.length&&y.length!==I.length)return[new fa(ne,y,\"array length \"+I.length+\" expected, length \"+y.length+\" found\")];if(I[\"min-length\"]&&y.length<I[\"min-length\"])return[new fa(ne,y,\"array length at least \"+I[\"min-length\"]+\" expected, length \"+y.length+\" found\")];var Fe={type:I.value,values:I.values};J.$version<7&&(Fe.function=I.function),Ka(I.value)===\"object\"&&(Fe=I.value);for(var Qe=[],st=0;st<y.length;st++)Qe=Qe.concat(fe({array:y,arrayIndex:st,value:y[st],valueSpec:Fe,style:U,styleSpec:J,key:ne+\"[\"+st+\"]\"}));return Qe}function je(m){var y=m.key,I=m.value,U=m.valueSpec,J=Ka(I);return J===\"number\"&&I!==I&&(J=\"NaN\"),J!==\"number\"?[new fa(y,I,\"number expected, \"+J+\" found\")]:\"minimum\"in U&&I<U.minimum?[new fa(y,I,I+\" is less than the minimum value \"+U.minimum)]:\"maximum\"in U&&I>U.maximum?[new fa(y,I,I+\" is greater than the maximum value \"+U.maximum)]:[]}function it(m){var y=m.valueSpec,I=vo(m.value.type),U,J={},ne,fe,Fe=I!==\"categorical\"&&m.value.property===void 0,Qe=!Fe,st=Ka(m.value.stops)===\"array\"&&Ka(m.value.stops[0])===\"array\"&&Ka(m.value.stops[0][0])===\"object\",mt=se({key:m.key,value:m.value,valueSpec:m.styleSpec.function,style:m.style,styleSpec:m.styleSpec,objectElementValidators:{stops:Xt,default:Lr}});return I===\"identity\"&&Fe&&mt.push(new fa(m.key,m.value,'missing required property 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_i=[],si=Yr.value,Hi=Yr.key;if(Ka(si)!==\"array\")return[new fa(Hi,si,\"array expected, \"+Ka(si)+\" found\")];if(si.length!==2)return[new fa(Hi,si,\"array length 2 expected, length \"+si.length+\" found\")];if(st){if(Ka(si[0])!==\"object\")return[new fa(Hi,si,\"object expected, \"+Ka(si[0])+\" found\")];if(si[0].zoom===void 0)return[new fa(Hi,si,\"object stop key must have zoom\")];if(si[0].value===void 0)return[new fa(Hi,si,\"object stop key must have value\")];if(fe&&fe>vo(si[0].zoom))return[new fa(Hi,si[0].zoom,\"stop zoom values must appear in ascending order\")];vo(si[0].zoom)!==fe&&(fe=vo(si[0].zoom),ne=void 0,J={}),_i=_i.concat(se({key:Hi+\"[0]\",value:si[0],valueSpec:{zoom:{}},style:Yr.style,styleSpec:Yr.styleSpec,objectElementValidators:{zoom:je,value:nr}}))}else _i=_i.concat(nr({key:Hi+\"[0]\",value:si[0],valueSpec:{},style:Yr.style,styleSpec:Yr.styleSpec},si));return Da(Wl(si[1]))?_i.concat([new fa(Hi+\"[1]\",si[1],\"expressions are not allowed in function stops.\")]):_i.concat(Wa({key:Hi+\"[1]\",value:si[1],valueSpec:y,style:Yr.style,styleSpec:Yr.styleSpec}))}function nr(Yr,_i){var si=Ka(Yr.value),Hi=vo(Yr.value),Ei=Yr.value!==null?Yr.value:_i;if(!U)U=si;else if(si!==U)return[new fa(Yr.key,Ei,si+\" stop domain type must match previous stop domain type \"+U)];if(si!==\"number\"&&si!==\"string\"&&si!==\"boolean\")return[new fa(Yr.key,Ei,\"stop domain value must be a number, string, or boolean\")];if(si!==\"number\"&&I!==\"categorical\"){var Vi=\"number expected, \"+si+\" found\";return Gs(y)&&I===void 0&&(Vi+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new fa(Yr.key,Ei,Vi)]}return I===\"categorical\"&&si===\"number\"&&(!isFinite(Hi)||Math.floor(Hi)!==Hi)?[new fa(Yr.key,Ei,\"integer expected, found \"+Hi)]:I!==\"categorical\"&&si===\"number\"&&ne!==void 0&&Hi<ne?[new fa(Yr.key,Ei,\"stop domain values must appear in ascending order\")]:(ne=Hi,I===\"categorical\"&&Hi in J?[new fa(Yr.key,Ei,\"stop domain values must be unique\")]:(J[Hi]=!0,[]))}function Lr(Yr){return Wa({key:Yr.key,value:Yr.value,valueSpec:y,style:Yr.style,styleSpec:Yr.styleSpec})}}function yt(m){var y=(m.expressionContext===\"property\"?_c:eo)(Wl(m.value),m.valueSpec);if(y.result===\"error\")return y.value.map(function(U){return new fa(\"\"+m.key+U.key,m.value,U.message)});var I=y.value.expression||y.value._styleExpression.expression;if(m.expressionContext===\"property\"&&m.propertyKey===\"text-font\"&&!I.outputDefined())return[new fa(m.key,m.value,'Invalid data expression for \"'+m.propertyKey+'\". Output values must be contained as literals within the expression.')];if(m.expressionContext===\"property\"&&m.propertyType===\"layout\"&&!eu(I))return[new fa(m.key,m.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(m.expressionContext===\"filter\"&&!eu(I))return[new fa(m.key,m.value,'\"feature-state\" data expressions are not supported with filters.')];if(m.expressionContext&&m.expressionContext.indexOf(\"cluster\")===0){if(!Pu(I,[\"zoom\",\"feature-state\"]))return[new fa(m.key,m.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(m.expressionContext===\"cluster-initial\"&&!$h(I))return[new fa(m.key,m.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function Ot(m){var y=m.value,I=m.key,U=Ka(y);return U!==\"boolean\"?[new fa(I,y,\"boolean expected, \"+U+\" found\")]:[]}function Nt(m){var y=m.key,I=m.value,U=Ka(I);return U!==\"string\"?[new fa(y,I,\"color expected, \"+U+\" found\")]:Bf(I)===null?[new fa(y,I,'color expected, \"'+I+'\" found')]:[]}function hr(m){var y=m.key,I=m.value,U=m.valueSpec,J=[];return Array.isArray(U.values)?U.values.indexOf(vo(I))===-1&&J.push(new fa(y,I,\"expected one of [\"+U.values.join(\", \")+\"], \"+JSON.stringify(I)+\" found\")):Object.keys(U.values).indexOf(vo(I))===-1&&J.push(new fa(y,I,\"expected one of [\"+Object.keys(U.values).join(\", \")+\"], \"+JSON.stringify(I)+\" found\")),J}function Sr(m){if(m===!0||m===!1)return!0;if(!Array.isArray(m)||m.length===0)return!1;switch(m[0]){case\"has\":return m.length>=2&&m[1]!==\"$id\"&&m[1]!==\"$type\";case\"in\":return m.length>=3&&(typeof m[1]!=\"string\"||Array.isArray(m[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return m.length!==3||Array.isArray(m[1])||Array.isArray(m[2]);case\"any\":case\"all\":for(var y=0,I=m.slice(1);y<I.length;y+=1){var U=I[y];if(!Sr(U)&&typeof U!=\"boolean\")return!1}return!0;default:return!0}}var he={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function be(m){if(m==null)return{filter:function(){return!0},needGeometry:!1};Sr(m)||(m=Je(m));var y=eo(m,he);if(y.result===\"error\")throw new Error(y.value.map(function(U){return U.key+\": \"+U.message}).join(\", \"));var I=Oe(m);return{filter:function(U,J,ne){return y.value.evaluate(U,J,{},ne)},needGeometry:I}}function Pe(m,y){return m<y?-1:m>y?1:0}function Oe(m){if(!Array.isArray(m))return!1;if(m[0]===\"within\")return!0;for(var y=1;y<m.length;y++)if(Oe(m[y]))return!0;return!1}function Je(m){if(!m)return!0;var y=m[0];if(m.length<=1)return y!==\"any\";var I=y===\"==\"?He(m[1],m[2],\"==\"):y===\"!=\"?Ut(He(m[1],m[2],\"==\")):y===\"<\"||y===\">\"||y===\"<=\"||y===\">=\"?He(m[1],m[2],y):y===\"any\"?et(m.slice(1)):y===\"all\"?[\"all\"].concat(m.slice(1).map(Je)):y===\"none\"?[\"all\"].concat(m.slice(1).map(Je).map(Ut)):y===\"in\"?Mt(m[1],m.slice(2)):y===\"!in\"?Ut(Mt(m[1],m.slice(2))):y===\"has\"?Dt(m[1]):y===\"!has\"?Ut(Dt(m[1])):y===\"within\"?m:!0;return I}function He(m,y,I){switch(m){case\"$type\":return[\"filter-type-\"+I,y];case\"$id\":return[\"filter-id-\"+I,y];default:return[\"filter-\"+I,m,y]}}function et(m){return[\"any\"].concat(m.map(Je))}function Mt(m,y){if(y.length===0)return!1;switch(m){case\"$type\":return[\"filter-type-in\",[\"literal\",y]];case\"$id\":return[\"filter-id-in\",[\"literal\",y]];default:return y.length>200&&!y.some(function(I){return typeof I!=typeof y[0]})?[\"filter-in-large\",m,[\"literal\",y.sort(Pe)]]:[\"filter-in-small\",m,[\"literal\",y]]}}function 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this.int16[en+0]=J,this.int16[en+1]=ne,this.uint16[en+2]=fe,this.uint16[en+3]=Fe,this.uint32[An+2]=Qe,this.uint32[An+3]=st,this.uint32[An+4]=mt,this.uint16[en+10]=Xt,this.uint16[en+11]=ur,this.uint16[en+12]=nr,this.float32[An+7]=Lr,this.float32[An+8]=Yr,this.uint8[ra+36]=_i,this.uint8[ra+37]=si,this.uint8[ra+38]=Hi,this.uint32[An+10]=Ei,this.int16[en+22]=Vi,U},y}(Rn);ro.prototype.bytesPerElement=48,Z(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ro);var Ao=function(m){function y(){m.apply(this,arguments)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},y.prototype.emplaceBack=function(U,J,ne,fe,Fe,Qe,st,mt,Xt,ur,nr,Lr,Yr,_i,si,Hi,Ei,Vi,en,An,ra,$n,Ba,_a,Pa,qo,Na,ja){var 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this._structArray.uint8[this._pos1+38]},I.hidden.set=function(U){this._structArray.uint8[this._pos1+38]=U},I.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},I.crossTileID.set=function(U){this._structArray.uint32[this._pos4+10]=U},I.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(y.prototype,I),y}(Bn);Qc.prototype.size=48;var El=function(m){function y(){m.apply(this,arguments)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.get=function(U){return new Qc(this,U)},y}(ro);Z(\"PlacedSymbolArray\",El);var bc=function(m){function y(){m.apply(this,arguments)}m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y;var 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I.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},I.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},I.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},I.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},I.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},I.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},I.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},I.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},I.key.get=function(){return this._structArray.uint16[this._pos2+8]},I.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},I.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},I.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},I.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},I.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},I.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},I.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},I.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},I.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},I.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},I.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},I.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},I.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},I.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},I.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},I.crossTileID.set=function(U){this._structArray.uint32[this._pos4+12]=U},I.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},I.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},I.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},I.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(y.prototype,I),y}(Bn);bc.prototype.size=68;var wc=function(m){function y(){m.apply(this,arguments)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.get=function(U){return new bc(this,U)},y}(Ao);Z(\"SymbolInstanceArray\",wc);var yf=function(m){function y(){m.apply(this,arguments)}return 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0&&(ne.sortKey=J),this.segments.push(ne)),ne},ns.prototype.get=function(){return this.segments},ns.prototype.destroy=function(){for(var y=0,I=this.segments;y<I.length;y+=1){var U=I[y];for(var J in U.vaos)U.vaos[J].destroy()}},ns.simpleSegment=function(y,I,U,J){return new ns([{vertexOffset:y,primitiveOffset:I,vertexLength:U,primitiveLength:J,vaos:{},sortKey:0}])},ns.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Z(\"SegmentVector\",ns);function Y(m,y){return m=g(Math.floor(m),0,255),y=g(Math.floor(y),0,255),256*m+y}var z=Dn([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]),K=a(function(m){function y(I,U){var 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ne};yi.prototype.populatePaintArray=function(y,I,U){var J=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(y),this.zoomOutPaintVertexArray.resize(y),this._setPaintValues(J,y,I.patterns&&I.patterns[this.layerId],U)},yi.prototype.updatePaintArray=function(y,I,U,J,ne){this._setPaintValues(y,I,U.patterns&&U.patterns[this.layerId],ne)},yi.prototype._setPaintValues=function(y,I,U,J){if(!(!J||!U)){var ne=U.min,fe=U.mid,Fe=U.max,Qe=J[ne],st=J[fe],mt=J[Fe];if(!(!Qe||!st||!mt))for(var Xt=y;Xt<I;Xt++)this.zoomInPaintVertexArray.emplace(Xt,st.tl[0],st.tl[1],st.br[0],st.br[1],Qe.tl[0],Qe.tl[1],Qe.br[0],Qe.br[1],st.pixelRatio,Qe.pixelRatio),this.zoomOutPaintVertexArray.emplace(Xt,st.tl[0],st.tl[1],st.br[0],st.br[1],mt.tl[0],mt.tl[1],mt.br[0],mt.br[1],st.pixelRatio,mt.pixelRatio)}},yi.prototype.upload=function(y){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=y.createVertexBuffer(this.zoomInPaintVertexArray,z.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=y.createVertexBuffer(this.zoomOutPaintVertexArray,z.members,this.expression.isStateDependent))},yi.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var tn=function(y,I,U){this.binders={},this._buffers=[];var J=[];for(var ne in y.paint._values)if(U(ne)){var fe=y.paint.get(ne);if(!(!(fe instanceof dl)||!Gs(fe.property.specification))){var Fe=ln(ne,y.type),Qe=fe.value,st=fe.property.specification.type,mt=fe.property.useIntegerZoom,Xt=fe.property.specification[\"property-type\"],ur=Xt===\"cross-faded\"||Xt===\"cross-faded-data-driven\";if(Qe.kind===\"constant\")this.binders[ne]=ur?new cr(Qe.value,Fe):new Cr(Qe.value,Fe,st),J.push(\"/u_\"+ne);else if(Qe.kind===\"source\"||ur){var nr=qn(ne,st,\"source\");this.binders[ne]=ur?new yi(Qe,st,mt,I,nr,y.id):new Gr(Qe,Fe,st,nr),J.push(\"/a_\"+ne)}else{var Lr=qn(ne,st,\"composite\");this.binders[ne]=new ei(Qe,Fe,st,mt,I,Lr),J.push(\"/z_\"+ne)}}}this.cacheKey=J.sort().join(\"\")};tn.prototype.getMaxValue=function(y){var I=this.binders[y];return I instanceof Gr||I instanceof ei?I.maxValue:0},tn.prototype.populatePaintArrays=function(y,I,U,J,ne){for(var fe in this.binders){var Fe=this.binders[fe];(Fe instanceof Gr||Fe instanceof ei||Fe instanceof yi)&&Fe.populatePaintArray(y,I,U,J,ne)}},tn.prototype.setConstantPatternPositions=function(y,I){for(var U in this.binders){var J=this.binders[U];J instanceof cr&&J.setConstantPatternPositions(y,I)}},tn.prototype.updatePaintArrays=function(y,I,U,J,ne){var fe=!1;for(var Fe in y)for(var Qe=I.getPositions(Fe),st=0,mt=Qe;st<mt.length;st+=1){var Xt=mt[st],ur=U.feature(Xt.index);for(var nr in this.binders){var Lr=this.binders[nr];if((Lr instanceof Gr||Lr instanceof ei||Lr instanceof yi)&&Lr.expression.isStateDependent===!0){var Yr=J.paint.get(nr);Lr.expression=Yr.value,Lr.updatePaintArray(Xt.start,Xt.end,ur,y[Fe],ne),fe=!0}}}return fe},tn.prototype.defines=function(){var y=[];for(var I in this.binders){var U=this.binders[I];(U instanceof Cr||U instanceof cr)&&y.push.apply(y,U.uniformNames.map(function(J){return\"#define HAS_UNIFORM_\"+J}))}return y},tn.prototype.getBinderAttributes=function(){var y=[];for(var I in this.binders){var U=this.binders[I];if(U instanceof Gr||U instanceof ei)for(var J=0;J<U.paintVertexAttributes.length;J++)y.push(U.paintVertexAttributes[J].name);else if(U instanceof yi)for(var ne=0;ne<z.members.length;ne++)y.push(z.members[ne].name)}return y},tn.prototype.getBinderUniforms=function(){var y=[];for(var I in this.binders){var U=this.binders[I];if(U instanceof Cr||U instanceof cr||U instanceof ei)for(var J=0,ne=U.uniformNames;J<ne.length;J+=1){var fe=ne[J];y.push(fe)}}return y},tn.prototype.getPaintVertexBuffers=function(){return this._buffers},tn.prototype.getUniforms=function(y,I){var U=[];for(var J in this.binders){var ne=this.binders[J];if(ne instanceof Cr||ne instanceof cr||ne instanceof ei)for(var fe=0,Fe=ne.uniformNames;fe<Fe.length;fe+=1){var Qe=Fe[fe];if(I[Qe]){var st=ne.getBinding(y,I[Qe],Qe);U.push({name:Qe,property:J,binding:st})}}}return U},tn.prototype.setUniforms=function(y,I,U,J){for(var ne=0,fe=I;ne<fe.length;ne+=1){var Fe=fe[ne],Qe=Fe.name,st=Fe.property,mt=Fe.binding;this.binders[st].setUniform(mt,J,U.get(st),Qe)}},tn.prototype.updatePaintBuffers=function(y){this._buffers=[];for(var I in this.binders){var U=this.binders[I];if(y&&U instanceof yi){var J=y.fromScale===2?U.zoomInPaintVertexBuffer:U.zoomOutPaintVertexBuffer;J&&this._buffers.push(J)}else(U instanceof Gr||U instanceof ei)&&U.paintVertexBuffer&&this._buffers.push(U.paintVertexBuffer)}},tn.prototype.upload=function(y){for(var I in this.binders){var U=this.binders[I];(U instanceof Gr||U instanceof ei||U instanceof yi)&&U.upload(y)}this.updatePaintBuffers()},tn.prototype.destroy=function(){for(var y in this.binders){var I=this.binders[y];(I instanceof Gr||I instanceof ei||I instanceof yi)&&I.destroy()}};var Ri=function(y,I,U){U===void 0&&(U=function(){return!0}),this.programConfigurations={};for(var J=0,ne=y;J<ne.length;J+=1){var fe=ne[J];this.programConfigurations[fe.id]=new tn(fe,I,U)}this.needsUpload=!1,this._featureMap=new Ie,this._bufferOffset=0};Ri.prototype.populatePaintArrays=function(y,I,U,J,ne,fe){for(var Fe in this.programConfigurations)this.programConfigurations[Fe].populatePaintArrays(y,I,J,ne,fe);I.id!==void 0&&this._featureMap.add(I.id,U,this._bufferOffset,y),this._bufferOffset=y,this.needsUpload=!0},Ri.prototype.updatePaintArrays=function(y,I,U,J){for(var ne=0,fe=U;ne<fe.length;ne+=1){var Fe=fe[ne];this.needsUpload=this.programConfigurations[Fe.id].updatePaintArrays(y,this._featureMap,I,Fe,J)||this.needsUpload}},Ri.prototype.get=function(y){return this.programConfigurations[y]},Ri.prototype.upload=function(y){if(this.needsUpload){for(var I in this.programConfigurations)this.programConfigurations[I].upload(y);this.needsUpload=!1}},Ri.prototype.destroy=function(){for(var y in this.programConfigurations)this.programConfigurations[y].destroy()};function ln(m,y){var I={\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]};return I[m]||[m.replace(y+\"-\",\"\").replace(/-/g,\"_\")]}function Qn(m){var y={\"line-pattern\":{source:Kn,composite:Kn},\"fill-pattern\":{source:Kn,composite:Kn},\"fill-extrusion-pattern\":{source:Kn,composite:Kn}};return y[m]}function qn(m,y,I){var U={color:{source:ca,composite:Xl},number:{source:Jn,composite:ca}},J=Qn(m);return 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I.id}),this.index=y.index,this.hasPattern=!1,this.layoutVertexArray=new ji,this.indexArray=new ma,this.segments=new ns,this.programConfigurations=new Ri(y.layers,y.zoom),this.stateDependentLayerIds=this.layers.filter(function(I){return I.isStateDependent()}).map(function(I){return I.id})};ps.prototype.populate=function(y,I,U){var J=this.layers[0],ne=[],fe=null;J.type===\"circle\"&&(fe=J.layout.get(\"circle-sort-key\"));for(var Fe=0,Qe=y;Fe<Qe.length;Fe+=1){var st=Qe[Fe],mt=st.feature,Xt=st.id,ur=st.index,nr=st.sourceLayerIndex,Lr=this.layers[0]._featureFilter.needGeometry,Yr=No(mt,Lr);if(this.layers[0]._featureFilter.filter(new pn(this.zoom),Yr,U)){var _i=fe?fe.evaluate(Yr,{},U):void 0,si={id:Xt,properties:mt.properties,type:mt.type,sourceLayerIndex:nr,index:ur,geometry:Lr?Yr.geometry:da(mt),patterns:{},sortKey:_i};ne.push(si)}}fe&&ne.sort(function(_a,Pa){return _a.sortKey-Pa.sortKey});for(var Hi=0,Ei=ne;Hi<Ei.length;Hi+=1){var Vi=Ei[Hi],en=Vi,An=en.geometry,ra=en.index,$n=en.sourceLayerIndex,Ba=y[ra].feature;this.addFeature(Vi,An,ra,U),I.featureIndex.insert(Ba,An,ra,$n,this.index)}},ps.prototype.update=function(y,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(y,I,this.stateDependentLayers,U)},ps.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},ps.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ps.prototype.upload=function(y){this.uploaded||(this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,_f),this.indexBuffer=y.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(y),this.uploaded=!0},ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ps.prototype.addFeature=function(y,I,U,J){for(var ne=0,fe=I;ne<fe.length;ne+=1)for(var Fe=fe[ne],Qe=0,st=Fe;Qe<st.length;Qe+=1){var mt=st[Qe],Xt=mt.x,ur=mt.y;if(!(Xt<0||Xt>=rn||ur<0||ur>=rn)){var nr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,y.sortKey),Lr=nr.vertexLength;Do(this.layoutVertexArray,Xt,ur,-1,-1),Do(this.layoutVertexArray,Xt,ur,1,-1),Do(this.layoutVertexArray,Xt,ur,1,1),Do(this.layoutVertexArray,Xt,ur,-1,1),this.indexArray.emplaceBack(Lr,Lr+1,Lr+2),this.indexArray.emplaceBack(Lr,Lr+3,Lr+2),nr.vertexLength+=4,nr.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,y,U,{},J)},Z(\"CircleBucket\",ps,{omit:[\"layers\"]});function fo(m,y){for(var I=0;I<m.length;I++)if(_d(y,m[I]))return!0;for(var U=0;U<y.length;U++)if(_d(m,y[U]))return!0;return!!Ev(m,y)}function as(m,y,I){return!!(_d(m,y)||Yv(y,m,I))}function tl(m,y){if(m.length===1)return vp(y,m[0]);for(var I=0;I<y.length;I++)for(var U=y[I],J=0;J<U.length;J++)if(_d(m,U[J]))return!0;for(var ne=0;ne<m.length;ne++)if(vp(y,m[ne]))return!0;for(var fe=0;fe<y.length;fe++)if(Ev(m,y[fe]))return!0;return!1}function zu(m,y,I){for(var U=0;U<y.length;U++){var J=y[U];if(m.length>=3){for(var ne=0;ne<J.length;ne++)if(_d(m,J[ne]))return!0}if(Mv(m,J,I))return!0}return!1}function Mv(m,y,I){if(m.length>1){if(Ev(m,y))return!0;for(var U=0;U<y.length;U++)if(Yv(y[U],m,I))return!0}for(var J=0;J<m.length;J++)if(Yv(m[J],y,I))return!0;return!1}function Ev(m,y){if(m.length===0||y.length===0)return!1;for(var I=0;I<m.length-1;I++)for(var U=m[I],J=m[I+1],ne=0;ne<y.length-1;ne++){var fe=y[ne],Fe=y[ne+1];if(yd(U,J,fe,Fe))return!0}return!1}function yd(m,y,I,U){return ae(m,I,U)!==ae(y,I,U)&&ae(m,y,I)!==ae(m,y,U)}function Yv(m,y,I){var U=I*I;if(y.length===1)return m.distSqr(y[0])<U;for(var J=1;J<y.length;J++){var ne=y[J-1],fe=y[J];if(cg(m,ne,fe)<U)return!0}return!1}function cg(m,y,I){var U=y.distSqr(I);if(U===0)return m.distSqr(y);var J=((m.x-y.x)*(I.x-y.x)+(m.y-y.y)*(I.y-y.y))/U;return 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ne!==ae(m,y,I[1])||ne!==ae(m,y,I[2])||ne!==ae(m,y,I[3])}function xd(m,y,I){var U=y.paint.get(m).value;return U.kind===\"constant\"?U.value:I.programConfigurations.get(y.id).getMaxValue(m)}function kv(m){return Math.sqrt(m[0]*m[0]+m[1]*m[1])}function Kv(m,y,I,U,J){if(!y[0]&&!y[1])return m;var ne=u.convert(y)._mult(J);I===\"viewport\"&&ne._rotate(-U);for(var fe=[],Fe=0;Fe<m.length;Fe++){var Qe=m[Fe];fe.push(Qe.sub(ne))}return fe}var Cv=new Oi({\"circle-sort-key\":new Er(on.layout_circle[\"circle-sort-key\"])}),ny=new Oi({\"circle-radius\":new Er(on.paint_circle[\"circle-radius\"]),\"circle-color\":new Er(on.paint_circle[\"circle-color\"]),\"circle-blur\":new Er(on.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Er(on.paint_circle[\"circle-opacity\"]),\"circle-translate\":new At(on.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new At(on.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new 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y=m.readVarint()+m.pos,I=1,U=0,J=0,ne=0,fe=[],Fe;m.pos<y;){if(U<=0){var Qe=m.readVarint();I=Qe&7,U=Qe>>3}if(U--,I===1||I===2)J+=m.readSVarint(),ne+=m.readSVarint(),I===1&&(Fe&&fe.push(Fe),Fe=[]),Fe.push(new u(J,ne));else if(I===7)Fe&&Fe.push(Fe[0].clone());else throw new Error(\"unknown command \"+I)}return Fe&&fe.push(Fe),fe},cy.prototype.bbox=function(){var m=this._pbf;m.pos=this._geometry;for(var y=m.readVarint()+m.pos,I=1,U=0,J=0,ne=0,fe=1/0,Fe=-1/0,Qe=1/0,st=-1/0;m.pos<y;){if(U<=0){var mt=m.readVarint();I=mt&7,U=mt>>3}if(U--,I===1||I===2)J+=m.readSVarint(),ne+=m.readSVarint(),J<fe&&(fe=J),J>Fe&&(Fe=J),ne<Qe&&(Qe=ne),ne>st&&(st=ne);else if(I!==7)throw new Error(\"unknown command \"+I)}return[fe,Qe,Fe,st]},cy.prototype.toGeoJSON=function(m,y,I){var U=this.extent*Math.pow(2,I),J=this.extent*m,ne=this.extent*y,fe=this.loadGeometry(),Fe=cy.types[this.type],Qe,st;function mt(nr){for(var Lr=0;Lr<nr.length;Lr++){var Yr=nr[Lr],_i=180-(Yr.y+ne)*360/U;nr[Lr]=[(Yr.x+J)*360/U-180,360/Math.PI*Math.atan(Math.exp(_i*Math.PI/180))-90]}}switch(this.type){case 1:var Xt=[];for(Qe=0;Qe<fe.length;Qe++)Xt[Qe]=fe[Qe][0];fe=Xt,mt(fe);break;case 2:for(Qe=0;Qe<fe.length;Qe++)mt(fe[Qe]);break;case 3:for(fe=G9(fe),Qe=0;Qe<fe.length;Qe++)for(st=0;st<fe[Qe].length;st++)mt(fe[Qe][st]);break}fe.length===1?fe=fe[0]:Fe=\"Multi\"+Fe;var ur={type:\"Feature\",geometry:{type:Fe,coordinates:fe},properties:this.properties};return\"id\"in this&&(ur.id=this.id),ur};function G9(m){var y=m.length;if(y<=1)return[m];for(var I=[],U,J,ne=0;ne<y;ne++){var fe=MC(m[ne]);fe!==0&&(J===void 0&&(J=fe<0),J===fe<0?(U&&I.push(U),U=[m[ne]]):U.push(m[ne]))}return U&&I.push(U),I}function MC(m){for(var y=0,I=0,U=m.length,J=U-1,ne,fe;I<U;J=I++)ne=m[I],fe=m[J],y+=(fe.x-ne.x)*(ne.y+fe.y);return y}var vg=vS;function vS(m,y){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=m,this._keys=[],this._values=[],this._features=[],m.readFields(EC,this,y),this.length=this._features.length}function EC(m,y,I){m===15?y.version=I.readVarint():m===1?y.name=I.readString():m===5?y.extent=I.readVarint():m===2?y._features.push(I.pos):m===3?y._keys.push(I.readString()):m===4&&y._values.push(kC(I))}function kC(m){for(var y=null,I=m.readVarint()+m.pos;m.pos<I;){var U=m.readVarint()>>3;y=U===1?m.readString():U===2?m.readFloat():U===3?m.readDouble():U===4?m.readVarint64():U===5?m.readVarint():U===6?m.readSVarint():U===7?m.readBoolean():null}return y}vS.prototype.feature=function(m){if(m<0||m>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[m];var y=this._pbf.readVarint()+this._pbf.pos;return new dS(this._pbf,y,this.extent,this._keys,this._values)};var CC=j9;function j9(m,y){this.layers=m.readFields(W9,{},y)}function W9(m,y,I){if(m===3){var U=new vg(I,I.readVarint()+I.pos);U.length&&(y[U.name]=U)}}var LC=CC,C1=dS,PC=vg,pg={VectorTile:LC,VectorTileFeature:C1,VectorTileLayer:PC},IC=pg.VectorTileFeature.types,qw=500,L1=Math.pow(2,13);function cm(m,y,I,U,J,ne,fe,Fe){m.emplaceBack(y,I,Math.floor(U*L1)*2+fe,J*L1*2,ne*L1*2,Math.round(Fe))}var Hp=function(y){this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(I){return I.id}),this.index=y.index,this.hasPattern=!1,this.layoutVertexArray=new Un,this.indexArray=new ma,this.programConfigurations=new Ri(y.layers,y.zoom),this.segments=new ns,this.stateDependentLayerIds=this.layers.filter(function(I){return I.isStateDependent()}).map(function(I){return I.id})};Hp.prototype.populate=function(y,I,U){this.features=[],this.hasPattern=Fw(\"fill-extrusion\",this.layers,I);for(var J=0,ne=y;J<ne.length;J+=1){var fe=ne[J],Fe=fe.feature,Qe=fe.id,st=fe.index,mt=fe.sourceLayerIndex,Xt=this.layers[0]._featureFilter.needGeometry,ur=No(Fe,Xt);if(this.layers[0]._featureFilter.filter(new pn(this.zoom),ur,U)){var nr={id:Qe,sourceLayerIndex:mt,index:st,geometry:Xt?ur.geometry:da(Fe),properties:Fe.properties,type:Fe.type,patterns:{}};this.hasPattern?this.features.push(Kx(\"fill-extrusion\",this.layers,nr,this.zoom,I)):this.addFeature(nr,nr.geometry,st,U,{}),I.featureIndex.insert(Fe,nr.geometry,st,mt,this.index,!0)}}},Hp.prototype.addFeatures=function(y,I,U){for(var J=0,ne=this.features;J<ne.length;J+=1){var fe=ne[J],Fe=fe.geometry;this.addFeature(fe,Fe,fe.index,I,U)}},Hp.prototype.update=function(y,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(y,I,this.stateDependentLayers,U)},Hp.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},Hp.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Hp.prototype.upload=function(y){this.uploaded||(this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,TC),this.indexBuffer=y.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(y),this.uploaded=!0},Hp.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Hp.prototype.addFeature=function(y,I,U,J,ne){for(var fe=0,Fe=zw(I,qw);fe<Fe.length;fe+=1){for(var Qe=Fe[fe],st=0,mt=0,Xt=Qe;mt<Xt.length;mt+=1){var ur=Xt[mt];st+=ur.length}for(var nr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),Lr=0,Yr=Qe;Lr<Yr.length;Lr+=1){var _i=Yr[Lr];if(_i.length!==0&&!X9(_i))for(var si=0,Hi=0;Hi<_i.length;Hi++){var Ei=_i[Hi];if(Hi>=1){var Vi=_i[Hi-1];if(!Z9(Ei,Vi)){nr.vertexLength+4>ns.MAX_VERTEX_ARRAY_LENGTH&&(nr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var en=Ei.sub(Vi)._perp()._unit(),An=Vi.dist(Ei);si+An>32768&&(si=0),cm(this.layoutVertexArray,Ei.x,Ei.y,en.x,en.y,0,0,si),cm(this.layoutVertexArray,Ei.x,Ei.y,en.x,en.y,0,1,si),si+=An,cm(this.layoutVertexArray,Vi.x,Vi.y,en.x,en.y,0,0,si),cm(this.layoutVertexArray,Vi.x,Vi.y,en.x,en.y,0,1,si);var ra=nr.vertexLength;this.indexArray.emplaceBack(ra,ra+2,ra+1),this.indexArray.emplaceBack(ra+1,ra+2,ra+3),nr.vertexLength+=4,nr.primitiveLength+=2}}}}if(nr.vertexLength+st>ns.MAX_VERTEX_ARRAY_LENGTH&&(nr=this.segments.prepareSegment(st,this.layoutVertexArray,this.indexArray)),IC[y.type]===\"Polygon\"){for(var $n=[],Ba=[],_a=nr.vertexLength,Pa=0,qo=Qe;Pa<qo.length;Pa+=1){var Na=qo[Pa];if(Na.length!==0){Na!==Qe[0]&&Ba.push($n.length/2);for(var ja=0;ja<Na.length;ja++){var us=Na[ja];cm(this.layoutVertexArray,us.x,us.y,0,0,1,1,0),$n.push(us.x),$n.push(us.y)}}}for(var zo=Pw($n,Ba),rl=0;rl<zo.length;rl+=3)this.indexArray.emplaceBack(_a+zo[rl],_a+zo[rl+2],_a+zo[rl+1]);nr.primitiveLength+=zo.length/3,nr.vertexLength+=st}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,y,U,ne,J)},Z(\"FillExtrusionBucket\",Hp,{omit:[\"layers\",\"features\"]});function Z9(m,y){return m.x===y.x&&(m.x<0||m.x>rn)||m.y===y.y&&(m.y<0||m.y>rn)}function X9(m){return m.every(function(y){return y.x<0})||m.every(function(y){return y.x>rn})||m.every(function(y){return y.y<0})||m.every(function(y){return y.y>rn})}var P1=new Oi({\"fill-extrusion-opacity\":new At(on[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Er(on[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new At(on[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new At(on[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Wr(on[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Er(on[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Er(on[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new At(on[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])}),ed={paint:P1},fm=function(m){function y(I){m.call(this,I,ed)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.createBucket=function(U){return new Hp(U)},y.prototype.queryRadius=function(){return kv(this.paint.get(\"fill-extrusion-translate\"))},y.prototype.is3D=function(){return!0},y.prototype.queryIntersectsFeature=function(U,J,ne,fe,Fe,Qe,st,mt){var Xt=Kv(U,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),Qe.angle,st),ur=this.paint.get(\"fill-extrusion-height\").evaluate(J,ne),nr=this.paint.get(\"fill-extrusion-base\").evaluate(J,ne),Lr=Y9(Xt,mt,Qe,0),Yr=gS(fe,nr,ur,mt),_i=Yr[0],si=Yr[1];return RC(_i,si,Lr)},y}(cn);function fy(m,y){return m.x*y.x+m.y*y.y}function pS(m,y){if(m.length===1){for(var I=0,U=y[I++],J;!J||U.equals(J);)if(J=y[I++],!J)return 1/0;for(;I<y.length;I++){var ne=y[I],fe=m[0],Fe=J.sub(U),Qe=ne.sub(U),st=fe.sub(U),mt=fy(Fe,Fe),Xt=fy(Fe,Qe),ur=fy(Qe,Qe),nr=fy(st,Fe),Lr=fy(st,Qe),Yr=mt*ur-Xt*Xt,_i=(ur*nr-Xt*Lr)/Yr,si=(mt*Lr-Xt*nr)/Yr,Hi=1-_i-si,Ei=U.z*Hi+J.z*_i+ne.z*si;if(isFinite(Ei))return Ei}return 1/0}else{for(var Vi=1/0,en=0,An=y;en<An.length;en+=1){var ra=An[en];Vi=Math.min(Vi,ra.z)}return Vi}}function RC(m,y,I){var U=1/0;tl(I,y)&&(U=pS(I,y[0]));for(var J=0;J<y.length;J++)for(var ne=y[J],fe=m[J],Fe=0;Fe<ne.length-1;Fe++){var Qe=ne[Fe],st=ne[Fe+1],mt=fe[Fe],Xt=fe[Fe+1],ur=[Qe,st,Xt,mt,Qe];fo(I,ur)&&(U=Math.min(U,pS(I,ur)))}return U===1/0?!1:U}function gS(m,y,I,U){for(var J=[],ne=[],fe=U[8]*y,Fe=U[9]*y,Qe=U[10]*y,st=U[11]*y,mt=U[8]*I,Xt=U[9]*I,ur=U[10]*I,nr=U[11]*I,Lr=0,Yr=m;Lr<Yr.length;Lr+=1){for(var _i=Yr[Lr],si=[],Hi=[],Ei=0,Vi=_i;Ei<Vi.length;Ei+=1){var en=Vi[Ei],An=en.x,ra=en.y,$n=U[0]*An+U[4]*ra+U[12],Ba=U[1]*An+U[5]*ra+U[13],_a=U[2]*An+U[6]*ra+U[14],Pa=U[3]*An+U[7]*ra+U[15],qo=$n+fe,Na=Ba+Fe,ja=_a+Qe,us=Pa+st,zo=$n+mt,rl=Ba+Xt,ou=_a+ur,il=Pa+nr,nl=new u(qo/us,Na/us);nl.z=ja/us,si.push(nl);var Ws=new u(zo/il,rl/il);Ws.z=ou/il,Hi.push(Ws)}J.push(si),ne.push(Hi)}return[J,ne]}function Y9(m,y,I,U){for(var J=[],ne=0,fe=m;ne<fe.length;ne+=1){var Fe=fe[ne],Qe=[Fe.x,Fe.y,U,1];ly(Qe,Qe,y),J.push(new u(Qe[0]/Qe[3],Qe[1]/Qe[3]))}return J}var DC=Dn([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),zC=DC.members,K9=Dn([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),FC=K9.members,mS=pg.VectorTileFeature.types,Ow=63,qC=Math.cos(75/2*(Math.PI/180)),Qx=15,yS=20,OC=15,Bw=1/2,eb=Math.pow(2,OC-1)/Bw,Gf=function(y){var I=this;this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(U){return U.id}),this.index=y.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(function(U){I.gradients[U.id]={}}),this.layoutVertexArray=new gn,this.layoutVertexArray2=new ca,this.indexArray=new ma,this.programConfigurations=new Ri(y.layers,y.zoom),this.segments=new ns,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(function(U){return U.isStateDependent()}).map(function(U){return U.id})};Gf.prototype.populate=function(y,I,U){this.hasPattern=Fw(\"line\",this.layers,I);for(var J=this.layers[0].layout.get(\"line-sort-key\"),ne=[],fe=0,Fe=y;fe<Fe.length;fe+=1){var Qe=Fe[fe],st=Qe.feature,mt=Qe.id,Xt=Qe.index,ur=Qe.sourceLayerIndex,nr=this.layers[0]._featureFilter.needGeometry,Lr=No(st,nr);if(this.layers[0]._featureFilter.filter(new pn(this.zoom),Lr,U)){var Yr=J?J.evaluate(Lr,{},U):void 0,_i={id:mt,properties:st.properties,type:st.type,sourceLayerIndex:ur,index:Xt,geometry:nr?Lr.geometry:da(st),patterns:{},sortKey:Yr};ne.push(_i)}}J&&ne.sort(function(_a,Pa){return _a.sortKey-Pa.sortKey});for(var si=0,Hi=ne;si<Hi.length;si+=1){var Ei=Hi[si],Vi=Ei,en=Vi.geometry,An=Vi.index,ra=Vi.sourceLayerIndex;if(this.hasPattern){var $n=Kx(\"line\",this.layers,Ei,this.zoom,I);this.patternFeatures.push($n)}else this.addFeature(Ei,en,An,U,{});var Ba=y[An].feature;I.featureIndex.insert(Ba,en,An,ra,this.index)}},Gf.prototype.update=function(y,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(y,I,this.stateDependentLayers,U)},Gf.prototype.addFeatures=function(y,I,U){for(var J=0,ne=this.patternFeatures;J<ne.length;J+=1){var fe=ne[J];this.addFeature(fe,fe.geometry,fe.index,I,U)}},Gf.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},Gf.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Gf.prototype.upload=function(y){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=y.createVertexBuffer(this.layoutVertexArray2,FC)),this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,zC),this.indexBuffer=y.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(y),this.uploaded=!0},Gf.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Gf.prototype.lineFeatureClips=function(y){if(y.properties&&y.properties.hasOwnProperty(\"mapbox_clip_start\")&&y.properties.hasOwnProperty(\"mapbox_clip_end\")){var I=+y.properties.mapbox_clip_start,U=+y.properties.mapbox_clip_end;return{start:I,end:U}}},Gf.prototype.addFeature=function(y,I,U,J,ne){var fe=this.layers[0].layout,Fe=fe.get(\"line-join\").evaluate(y,{}),Qe=fe.get(\"line-cap\"),st=fe.get(\"line-miter-limit\"),mt=fe.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(y);for(var Xt=0,ur=I;Xt<ur.length;Xt+=1){var nr=ur[Xt];this.addLine(nr,y,Fe,Qe,st,mt)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,y,U,ne,J)},Gf.prototype.addLine=function(y,I,U,J,ne,fe){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var Fe=0;Fe<y.length-1;Fe++)this.totalDistance+=y[Fe].dist(y[Fe+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var Qe=mS[I.type]===\"Polygon\",st=y.length;st>=2&&y[st-1].equals(y[st-2]);)st--;for(var mt=0;mt<st-1&&y[mt].equals(y[mt+1]);)mt++;if(!(st<(Qe?3:2))){U===\"bevel\"&&(ne=1.05);var Xt=this.overscaling<=16?Qx*rn/(512*this.overscaling):0,ur=this.segments.prepareSegment(st*10,this.layoutVertexArray,this.indexArray),nr,Lr=void 0,Yr=void 0,_i=void 0,si=void 0;this.e1=this.e2=-1,Qe&&(nr=y[st-2],si=y[mt].sub(nr)._unit()._perp());for(var Hi=mt;Hi<st;Hi++)if(Yr=Hi===st-1?Qe?y[mt+1]:void 0:y[Hi+1],!(Yr&&y[Hi].equals(Yr))){si&&(_i=si),nr&&(Lr=nr),nr=y[Hi],si=Yr?Yr.sub(nr)._unit()._perp():_i,_i=_i||si;var Ei=_i.add(si);(Ei.x!==0||Ei.y!==0)&&Ei._unit();var Vi=_i.x*si.x+_i.y*si.y,en=Ei.x*si.x+Ei.y*si.y,An=en!==0?1/en:1/0,ra=2*Math.sqrt(2-2*en),$n=en<qC&&Lr&&Yr,Ba=_i.x*si.y-_i.y*si.x>0;if($n&&Hi>mt){var _a=nr.dist(Lr);if(_a>2*Xt){var Pa=nr.sub(nr.sub(Lr)._mult(Xt/_a)._round());this.updateDistance(Lr,Pa),this.addCurrentVertex(Pa,_i,0,0,ur),Lr=Pa}}var qo=Lr&&Yr,Na=qo?U:Qe?\"butt\":J;if(qo&&Na===\"round\"&&(An<fe?Na=\"miter\":An<=2&&(Na=\"fakeround\")),Na===\"miter\"&&An>ne&&(Na=\"bevel\"),Na===\"bevel\"&&(An>2&&(Na=\"flipbevel\"),An<ne&&(Na=\"miter\")),Lr&&this.updateDistance(Lr,nr),Na===\"miter\")Ei._mult(An),this.addCurrentVertex(nr,Ei,0,0,ur);else if(Na===\"flipbevel\"){if(An>100)Ei=si.mult(-1);else{var ja=An*_i.add(si).mag()/_i.sub(si).mag();Ei._perp()._mult(ja*(Ba?-1:1))}this.addCurrentVertex(nr,Ei,0,0,ur),this.addCurrentVertex(nr,Ei.mult(-1),0,0,ur)}else if(Na===\"bevel\"||Na===\"fakeround\"){var us=-Math.sqrt(An*An-1),zo=Ba?us:0,rl=Ba?0:us;if(Lr&&this.addCurrentVertex(nr,_i,zo,rl,ur),Na===\"fakeround\")for(var ou=Math.round(ra*180/Math.PI/yS),il=1;il<ou;il++){var nl=il/ou;if(nl!==.5){var Ws=nl-.5,Au=1.0904+Vi*(-3.2452+Vi*(3.55645-Vi*1.43519)),Ou=.848013+Vi*(-1.06021+Vi*.215638);nl=nl+nl*Ws*(nl-1)*(Au*Ws*Ws+Ou)}var nf=si.sub(_i)._mult(nl)._add(_i)._unit()._mult(Ba?-1:1);this.addHalfVertex(nr,nf.x,nf.y,!1,Ba,0,ur)}Yr&&this.addCurrentVertex(nr,si,-zo,-rl,ur)}else if(Na===\"butt\")this.addCurrentVertex(nr,Ei,0,0,ur);else if(Na===\"square\"){var bf=Lr?1:-1;this.addCurrentVertex(nr,Ei,bf,bf,ur)}else Na===\"round\"&&(Lr&&(this.addCurrentVertex(nr,_i,0,0,ur),this.addCurrentVertex(nr,_i,1,1,ur,!0)),Yr&&(this.addCurrentVertex(nr,si,-1,-1,ur,!0),this.addCurrentVertex(nr,si,0,0,ur)));if($n&&Hi<st-1){var qh=nr.dist(Yr);if(qh>2*Xt){var Zf=nr.add(Yr.sub(nr)._mult(Xt/qh)._round());this.updateDistance(nr,Zf),this.addCurrentVertex(Zf,si,0,0,ur),nr=Zf}}}}},Gf.prototype.addCurrentVertex=function(y,I,U,J,ne,fe){fe===void 0&&(fe=!1);var Fe=I.x+I.y*U,Qe=I.y-I.x*U,st=-I.x+I.y*J,mt=-I.y-I.x*J;this.addHalfVertex(y,Fe,Qe,fe,!1,U,ne),this.addHalfVertex(y,st,mt,fe,!0,-J,ne),this.distance>eb/2&&this.totalDistance===0&&(this.distance=0,this.addCurrentVertex(y,I,U,J,ne,fe))},Gf.prototype.addHalfVertex=function(y,I,U,J,ne,fe,Fe){var Qe=y.x,st=y.y,mt=this.lineClips?this.scaledDistance*(eb-1):this.scaledDistance,Xt=mt*Bw;if(this.layoutVertexArray.emplaceBack((Qe<<1)+(J?1:0),(st<<1)+(ne?1:0),Math.round(Ow*I)+128,Math.round(Ow*U)+128,(fe===0?0:fe<0?-1:1)+1|(Xt&63)<<2,Xt>>6),this.lineClips){var ur=this.scaledDistance-this.lineClips.start,nr=this.lineClips.end-this.lineClips.start,Lr=ur/nr;this.layoutVertexArray2.emplaceBack(Lr,this.lineClipsArray.length)}var 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ur=0,nr=R1,Lr=0,Yr=0,_i=Fe===\"right\"?1:Fe===\"left\"?0:.5,si=0,Hi=0,Ei=J;Hi<Ei.length;Hi+=1){var Vi=Ei[Hi];Vi.trim();var en=Vi.getMaxScale(),An=(en-1)*Zi,ra={positionedGlyphs:[],lineOffset:0};m.positionedLines[si]=ra;var $n=ra.positionedGlyphs,Ba=0;if(!Vi.length()){nr+=ne,++si;continue}for(var _a=0;_a<Vi.length();_a++){var Pa=Vi.getSection(_a),qo=Vi.getSectionIndex(_a),Na=Vi.getCharCode(_a),ja=0,us=null,zo=null,rl=null,ou=Zi,il=!(Qe===uv.horizontal||!mt&&!Ir(Na)||mt&&(m0[Na]||qr(Na)));if(Pa.imageName){var nf=U[Pa.imageName];if(!nf)continue;rl=Pa.imageName,m.iconsInText=m.iconsInText||!0,zo=nf.paddedRect;var bf=nf.displaySize;Pa.scale=Pa.scale*Zi/Xt,us={width:bf[0],height:bf[1],left:oc,top:-Gp,advance:il?bf[1]:bf[0]};var qh=Zi-bf[1]*Pa.scale;ja=An+qh,ou=us.advance;var Zf=il?bf[0]*Pa.scale-Zi*en:bf[1]*Pa.scale-Zi*en;Zf>0&&Zf>Ba&&(Ba=Zf)}else{var nl=I[Pa.fontStack],Ws=nl&&nl[Na];if(Ws&&Ws.rect)zo=Ws.rect,us=Ws.metrics;else{var 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y=0,I=0;I<m.length-1;I++)y+=m[I].dist(m[I+1]);return y}function bQ(m,y,I){return m?3/5*y*I:0}function wQ(m,y){return Math.max(m?m.right-m.left:0,y?y.right-y.left:0)}function K$e(m,y,I,U,J,ne){for(var fe=bQ(I,J,ne),Fe=wQ(I,U)*ne,Qe=0,st=xQ(m)/2,mt=0;mt<m.length-1;mt++){var Xt=m[mt],ur=m[mt+1],nr=Xt.dist(ur);if(Qe+nr>st){var Lr=(st-Qe)/nr,Yr=Qs(Xt.x,ur.x,Lr),_i=Qs(Xt.y,ur.y,Lr),si=new Gd(Yr,_i,ur.angleTo(Xt),mt);return si._round(),!fe||_Q(m,si,Fe,fe,y)?si:void 0}Qe+=nr}}function J$e(m,y,I,U,J,ne,fe,Fe,Qe){var st=bQ(U,ne,fe),mt=wQ(U,J),Xt=mt*fe,ur=m[0].x===0||m[0].x===Qe||m[0].y===0||m[0].y===Qe;y-Xt<y/4&&(y=Xt+y/4);var nr=ne*2,Lr=ur?y/2*Fe%y:(mt/2+nr)*fe*Fe%y;return TQ(m,Lr,y,st,I,Xt,ur,!1,Qe)}function TQ(m,y,I,U,J,ne,fe,Fe,Qe){for(var st=ne/2,mt=xQ(m),Xt=0,ur=y-I,nr=[],Lr=0;Lr<m.length-1;Lr++){for(var Yr=m[Lr],_i=m[Lr+1],si=Yr.dist(_i),Hi=_i.angleTo(Yr);ur+I<Xt+si;){ur+=I;var Ei=(ur-Xt)/si,Vi=Qs(Yr.x,_i.x,Ei),en=Qs(Yr.y,_i.y,Ei);if(Vi>=0&&Vi<Qe&&en>=0&&en<Qe&&ur-st>=0&&ur+st<=mt){var 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Pa=J?[Yr.x+ra,Yr.y]:[0,0],qo=J?[0,0]:[Yr.x+ra+I[0],Yr.y+I[1]-en],Na=[0,0];An&&(Na=qo,qo=[0,0]);var ja=(Yr.metrics.left-Hi)*Yr.scale-ra+qo[0],us=(-Yr.metrics.top-Hi)*Yr.scale+qo[1],zo=ja+_i.w*Yr.scale/Vi,rl=us+_i.h*Yr.scale/Vi,ou=new u(ja,us),il=new u(zo,us),nl=new u(ja,rl),Ws=new u(zo,rl);if(An){var Au=new u(-ra,ra-R1),Ou=-Math.PI/2,nf=Zi/2-ra,bf=Yr.imageName?nf:0,qh=new u(5-R1-nf,-bf),Zf=new(Function.prototype.bind.apply(u,[null].concat(Na)));ou._rotateAround(Ou,Au)._add(qh)._add(Zf),il._rotateAround(Ou,Au)._add(qh)._add(Zf),nl._rotateAround(Ou,Au)._add(qh)._add(Zf),Ws._rotateAround(Ou,Au)._add(qh)._add(Zf)}if(Qe){var jd=Math.sin(Qe),Wd=Math.cos(Qe),Oh=[Wd,-jd,jd,Wd];ou._matMult(Oh),il._matMult(Oh),nl._matMult(Oh),Ws._matMult(Oh)}var fv=new u(0,0),hv=new u(0,0),hh=0,dv=0;st.push({tl:ou,tr:il,bl:nl,br:Ws,tex:_i,writingMode:y.writingMode,glyphOffset:Pa,sectionIndex:Yr.sectionIndex,isSDF:Ei,pixelOffsetTL:fv,pixelOffsetBR:hv,minFontScaleX:hh,minFontScaleY:dv})}}return st}var 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U=(this.length>>1)-1;U>=0;U--)this._down(U)};jw.prototype.push=function(y){this.data.push(y),this.length++,this._up(this.length-1)},jw.prototype.pop=function(){if(this.length!==0){var y=this.data[0],I=this.data.pop();return this.length--,this.length>0&&(this.data[0]=I,this._down(0)),y}},jw.prototype.peek=function(){return this.data[0]},jw.prototype._up=function(y){for(var I=this,U=I.data,J=I.compare,ne=U[y];y>0;){var fe=y-1>>1,Fe=U[fe];if(J(ne,Fe)>=0)break;U[y]=Fe,y=fe}U[y]=ne},jw.prototype._down=function(y){for(var I=this,U=I.data,J=I.compare,ne=this.length>>1,fe=U[y];y<ne;){var Fe=(y<<1)+1,Qe=U[Fe],st=Fe+1;if(st<this.length&&J(U[st],Qe)<0&&(Fe=st,Qe=U[st]),J(Qe,fe)>=0)break;U[y]=Qe,y=Fe}U[y]=fe};function Q$e(m,y){return m<y?-1:m>y?1:0}function eQe(m,y,I){y===void 0&&(y=1),I===void 0&&(I=!1);for(var U=1/0,J=1/0,ne=-1/0,fe=-1/0,Fe=m[0],Qe=0;Qe<Fe.length;Qe++){var st=Fe[Qe];(!Qe||st.x<U)&&(U=st.x),(!Qe||st.y<J)&&(J=st.y),(!Qe||st.x>ne)&&(ne=st.x),(!Qe||st.y>fe)&&(fe=st.y)}var mt=ne-U,Xt=fe-J,ur=Math.min(mt,Xt),nr=ur/2,Lr=new jw([],tQe);if(ur===0)return new u(U,J);for(var Yr=U;Yr<ne;Yr+=ur)for(var _i=J;_i<fe;_i+=ur)Lr.push(new Ww(Yr+nr,_i+nr,nr,m));for(var si=iQe(m),Hi=Lr.length;Lr.length;){var Ei=Lr.pop();(Ei.d>si.d||!si.d)&&(si=Ei,I&&console.log(\"found best %d after %d probes\",Math.round(1e4*Ei.d)/1e4,Hi)),!(Ei.max-si.d<=y)&&(nr=Ei.h/2,Lr.push(new Ww(Ei.p.x-nr,Ei.p.y-nr,nr,m)),Lr.push(new Ww(Ei.p.x+nr,Ei.p.y-nr,nr,m)),Lr.push(new Ww(Ei.p.x-nr,Ei.p.y+nr,nr,m)),Lr.push(new Ww(Ei.p.x+nr,Ei.p.y+nr,nr,m)),Hi+=4)}return I&&(console.log(\"num probes: \"+Hi),console.log(\"best distance: \"+si.d)),si.p}function tQe(m,y){return y.max-m.max}function Ww(m,y,I,U){this.p=new u(m,y),this.h=I,this.d=rQe(this.p,U),this.max=this.d+this.h*Math.SQRT2}function rQe(m,y){for(var I=!1,U=1/0,J=0;J<y.length;J++)for(var ne=y[J],fe=0,Fe=ne.length,Qe=Fe-1;fe<Fe;Qe=fe++){var st=ne[fe],mt=ne[Qe];st.y>m.y!=mt.y>m.y&&m.x<(mt.x-st.x)*(m.y-st.y)/(mt.y-st.y)+st.x&&(I=!I),U=Math.min(U,cg(m,st,mt))}return(I?1:-1)*Math.sqrt(U)}function iQe(m){for(var y=0,I=0,U=0,J=m[0],ne=0,fe=J.length,Fe=fe-1;ne<fe;Fe=ne++){var Qe=J[ne],st=J[Fe],mt=Qe.x*st.y-st.x*Qe.y;I+=(Qe.x+st.x)*mt,U+=(Qe.y+st.y)*mt,y+=mt*3}return new Ww(I/y,U/y,0,m)}var Zw=7,iq=Number.POSITIVE_INFINITY;function EQ(m,y){function I(J,ne){var fe=0,Fe=0;ne<0&&(ne=0);var Qe=ne/Math.sqrt(2);switch(J){case\"top-right\":case\"top-left\":Fe=Qe-Zw;break;case\"bottom-right\":case\"bottom-left\":Fe=-Qe+Zw;break;case\"bottom\":Fe=-ne+Zw;break;case\"top\":Fe=ne-Zw;break}switch(J){case\"top-right\":case\"bottom-right\":fe=-Qe;break;case\"top-left\":case\"bottom-left\":fe=Qe;break;case\"left\":fe=ne;break;case\"right\":fe=-ne;break}return[fe,Fe]}function U(J,ne,fe){var Fe=0,Qe=0;switch(ne=Math.abs(ne),fe=Math.abs(fe),J){case\"top-right\":case\"top-left\":case\"top\":Qe=fe-Zw;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":Qe=-fe+Zw;break}switch(J){case\"top-right\":case\"bottom-right\":case\"right\":Fe=-ne;break;case\"top-left\":case\"bottom-left\":case\"left\":Fe=ne;break}return[Fe,Qe]}return y[1]!==iq?U(m,y[0],y[1]):I(m,y[0])}function nQe(m,y,I,U,J,ne,fe){m.createArrays();var Fe=512*m.overscaling;m.tilePixelRatio=rn/Fe,m.compareText={},m.iconsNeedLinear=!1;var Qe=m.layers[0].layout,st=m.layers[0]._unevaluatedLayout._values,mt={};if(m.textSizeData.kind===\"composite\"){var Xt=m.textSizeData,ur=Xt.minZoom,nr=Xt.maxZoom;mt.compositeTextSizes=[st[\"text-size\"].possiblyEvaluate(new pn(ur),fe),st[\"text-size\"].possiblyEvaluate(new pn(nr),fe)]}if(m.iconSizeData.kind===\"composite\"){var Lr=m.iconSizeData,Yr=Lr.minZoom,_i=Lr.maxZoom;mt.compositeIconSizes=[st[\"icon-size\"].possiblyEvaluate(new pn(Yr),fe),st[\"icon-size\"].possiblyEvaluate(new pn(_i),fe)]}mt.layoutTextSize=st[\"text-size\"].possiblyEvaluate(new pn(m.zoom+1),fe),mt.layoutIconSize=st[\"icon-size\"].possiblyEvaluate(new pn(m.zoom+1),fe),mt.textMaxSize=st[\"text-size\"].possiblyEvaluate(new pn(18));for(var si=Qe.get(\"text-line-height\")*Zi,Hi=Qe.get(\"text-rotation-alignment\")===\"map\"&&Qe.get(\"symbol-placement\")!==\"point\",Ei=Qe.get(\"text-keep-upright\"),Vi=Qe.get(\"text-size\"),en=function(){var $n=ra[An],Ba=Qe.get(\"text-font\").evaluate($n,{},fe).join(\",\"),_a=Vi.evaluate($n,{},fe),Pa=mt.layoutTextSize.evaluate($n,{},fe),qo=mt.layoutIconSize.evaluate($n,{},fe),Na={horizontal:{},vertical:void 0},ja=$n.text,us=[0,0];if(ja){var zo=ja.toString(),rl=Qe.get(\"text-letter-spacing\").evaluate($n,{},fe)*Zi,ou=or(zo)?rl:0,il=Qe.get(\"text-anchor\").evaluate($n,{},fe),nl=Qe.get(\"text-variable-anchor\");if(!nl){var Ws=Qe.get(\"text-radial-offset\").evaluate($n,{},fe);Ws?us=EQ(il,[Ws*Zi,iq]):us=Qe.get(\"text-offset\").evaluate($n,{},fe).map(function(py){return py*Zi})}var Au=Hi?\"center\":Qe.get(\"text-justify\").evaluate($n,{},fe),Ou=Qe.get(\"symbol-placement\"),nf=Ou===\"point\"?Qe.get(\"text-max-width\").evaluate($n,{},fe)*Zi:0,bf=function(){m.allowVerticalPlacement&&zt(zo)&&(Na.vertical=Vw(ja,y,I,J,Ba,nf,si,il,\"left\",ou,us,uv.vertical,!0,Ou,Pa,_a))};if(!Hi&&nl){for(var qh=Au===\"auto\"?nl.map(function(py){return nq(py)}):[Au],Zf=!1,jd=0;jd<qh.length;jd++){var Wd=qh[jd];if(!Na.horizontal[Wd])if(Zf)Na.horizontal[Wd]=Na.horizontal[0];else{var Oh=Vw(ja,y,I,J,Ba,nf,si,\"center\",Wd,ou,us,uv.horizontal,!1,Ou,Pa,_a);Oh&&(Na.horizontal[Wd]=Oh,Zf=Oh.positionedLines.length===1)}}bf()}else{Au===\"auto\"&&(Au=nq(il));var fv=Vw(ja,y,I,J,Ba,nf,si,il,Au,ou,us,uv.horizontal,!1,Ou,Pa,_a);fv&&(Na.horizontal[Au]=fv),bf(),zt(zo)&&Hi&&Ei&&(Na.vertical=Vw(ja,y,I,J,Ba,nf,si,il,Au,ou,us,uv.vertical,!1,Ou,Pa,_a))}}var hv=void 0,hh=!1;if($n.icon&&$n.icon.name){var dv=U[$n.icon.name];dv&&(hv=tp(J[$n.icon.name],Qe.get(\"icon-offset\").evaluate($n,{},fe),Qe.get(\"icon-anchor\").evaluate($n,{},fe)),hh=dv.sdf,m.sdfIcons===void 0?m.sdfIcons=dv.sdf:m.sdfIcons!==dv.sdf&&re(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),(dv.pixelRatio!==m.pixelRatio||Qe.get(\"icon-rotate\").constantOr(1)!==0)&&(m.iconsNeedLinear=!0))}var _p=CQ(Na.horizontal)||Na.vertical;m.iconsInText=_p?_p.iconsInText:!1,(_p||hv)&&aQe(m,$n,Na,hv,U,mt,Pa,qo,us,hh,fe)},An=0,ra=m.features;An<ra.length;An+=1)en();ne&&m.generateCollisionDebugBuffers()}function nq(m){switch(m){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function aQe(m,y,I,U,J,ne,fe,Fe,Qe,st,mt){var Xt=ne.textMaxSize.evaluate(y,{});Xt===void 0&&(Xt=fe);var ur=m.layers[0].layout,nr=ur.get(\"icon-offset\").evaluate(y,{},mt),Lr=CQ(I.horizontal),Yr=24,_i=fe/Yr,si=m.tilePixelRatio*_i,Hi=m.tilePixelRatio*Xt/Yr,Ei=m.tilePixelRatio*Fe,Vi=m.tilePixelRatio*ur.get(\"symbol-spacing\"),en=ur.get(\"text-padding\")*m.tilePixelRatio,An=ur.get(\"icon-padding\")*m.tilePixelRatio,ra=ur.get(\"text-max-angle\")/180*Math.PI,$n=ur.get(\"text-rotation-alignment\")===\"map\"&&ur.get(\"symbol-placement\")!==\"point\",Ba=ur.get(\"icon-rotation-alignment\")===\"map\"&&ur.get(\"symbol-placement\")!==\"point\",_a=ur.get(\"symbol-placement\"),Pa=Vi/2,qo=ur.get(\"icon-text-fit\"),Na;U&&qo!==\"none\"&&(m.allowVerticalPlacement&&I.vertical&&(Na=hm(U,I.vertical,qo,ur.get(\"icon-text-fit-padding\"),nr,_i)),Lr&&(U=hm(U,Lr,qo,ur.get(\"icon-text-fit-padding\"),nr,_i)));var ja=function($w,y0){y0.x<0||y0.x>=rn||y0.y<0||y0.y>=rn||oQe(m,y0,$w,I,U,J,Na,m.layers[0],m.collisionBoxArray,y.index,y.sourceLayerIndex,m.index,si,en,$n,Qe,Ei,An,Ba,nr,y,ne,st,mt,fe)};if(_a===\"line\")for(var us=0,zo=AQ(y.geometry,0,0,rn,rn);us<zo.length;us+=1)for(var rl=zo[us],ou=J$e(rl,Vi,ra,I.vertical||Lr,U,Yr,Hi,m.overscaling,rn),il=0,nl=ou;il<nl.length;il+=1){var Ws=nl[il],Au=Lr;(!Au||!sQe(m,Au.text,Pa,Ws))&&ja(rl,Ws)}else if(_a===\"line-center\")for(var Ou=0,nf=y.geometry;Ou<nf.length;Ou+=1){var bf=nf[Ou];if(bf.length>1){var qh=K$e(bf,ra,I.vertical||Lr,U,Yr,Hi);qh&&ja(bf,qh)}}else if(y.type===\"Polygon\")for(var Zf=0,jd=zw(y.geometry,0);Zf<jd.length;Zf+=1){var Wd=jd[Zf],Oh=eQe(Wd,16);ja(Wd[0],new Gd(Oh.x,Oh.y,0))}else if(y.type===\"LineString\")for(var fv=0,hv=y.geometry;fv<hv.length;fv+=1){var hh=hv[fv];ja(hh,new Gd(hh[0].x,hh[0].y,0))}else if(y.type===\"Point\")for(var dv=0,_p=y.geometry;dv<_p.length;dv+=1)for(var py=_p[dv],F1=0,q1=py;F1<q1.length;F1+=1){var O1=q1[F1];ja([O1],new Gd(O1.x,O1.y,0))}}var TS=255,D1=TS*Sd;function kQ(m,y,I,U,J,ne,fe,Fe,Qe,st,mt,Xt,ur,nr,Lr){var Yr=$$e(y,I,Fe,J,ne,fe,U,m.allowVerticalPlacement),_i=m.textSizeData,si=null;_i.kind===\"source\"?(si=[Sd*J.layout.get(\"text-size\").evaluate(fe,{})],si[0]>D1&&re(m.layerIds[0]+': Value for \"text-size\" is >= '+TS+'. 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Reduce your \"icon-size\".')):hv.kind===\"composite\"&&(hh=[Sd*en.compositeIconSizes[0].evaluate(Vi,{},ra),Sd*en.compositeIconSizes[1].evaluate(Vi,{},ra)],(hh[0]>D1||hh[1]>D1)&&re(m.layerIds[0]+': Value for \"icon-size\" is >= '+TS+'. Reduce your \"icon-size\".')),m.addSymbols(m.icon,Oh,hh,Ei,Hi,Vi,!1,y,_a.lineStartIndex,_a.lineLength,-1,ra),il=m.icon.placedSymbolArray.length-1,fv&&(zo=fv.length*4,m.addSymbols(m.icon,fv,hh,Ei,Hi,Vi,uv.vertical,y,_a.lineStartIndex,_a.lineLength,-1,ra),nl=m.icon.placedSymbolArray.length-1)}for(var dv in U.horizontal){var _p=U.horizontal[dv];if(!Pa){Au=$(_p.text);var py=Fe.layout.get(\"text-rotate\").evaluate(Vi,{},ra);Pa=new GC(Qe,y,st,mt,Xt,_p,ur,nr,Lr,py)}var F1=_p.positionedLines.length===1;if(rl+=kQ(m,y,_p,ne,Fe,Lr,Vi,Yr,_a,U.vertical?uv.horizontal:uv.horizontalOnly,F1?Object.keys(U.horizontal):[dv],Ws,il,en,ra),F1)break}U.vertical&&(ou+=kQ(m,y,U.vertical,ne,Fe,Lr,Vi,Yr,_a,uv.vertical,[\"vertical\"],Ws,nl,en,ra));var q1=Pa?Pa.boxStartIndex:m.collisionBoxArray.length,O1=Pa?Pa.boxEndIndex:m.collisionBoxArray.length,$w=Na?Na.boxStartIndex:m.collisionBoxArray.length,y0=Na?Na.boxEndIndex:m.collisionBoxArray.length,YC=qo?qo.boxStartIndex:m.collisionBoxArray.length,cq=qo?qo.boxEndIndex:m.collisionBoxArray.length,KC=ja?ja.boxStartIndex:m.collisionBoxArray.length,fq=ja?ja.boxEndIndex:m.collisionBoxArray.length,jp=-1,Qw=function(MS,jQ){return MS&&MS.circleDiameter?Math.max(MS.circleDiameter,jQ):jQ};jp=Qw(Pa,jp),jp=Qw(Na,jp),jp=Qw(qo,jp),jp=Qw(ja,jp);var JC=jp>-1?1:0;JC&&(jp*=$n/Zi),m.glyphOffsetArray.length>=au.MAX_GLYPHS&&re(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),Vi.sortKey!==void 0&&m.addToSortKeyRanges(m.symbolInstances.length,Vi.sortKey),m.symbolInstances.emplaceBack(y.x,y.y,Ws.right>=0?Ws.right:-1,Ws.center>=0?Ws.center:-1,Ws.left>=0?Ws.left:-1,Ws.vertical||-1,il,nl,Au,q1,O1,$w,y0,YC,cq,KC,fq,st,rl,ou,us,zo,JC,0,ur,Ou,nf,jp)}function sQe(m,y,I,U){var J=m.compareText;if(!(y in J))J[y]=[];else for(var ne=J[y],fe=ne.length-1;fe>=0;fe--)if(U.dist(ne[fe])<I)return!0;return J[y].push(U),!1}var lQe=pg.VectorTileFeature.types,uQe=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function jC(m,y,I,U,J,ne,fe,Fe,Qe,st,mt,Xt,ur){var nr=Fe?Math.min(D1,Math.round(Fe[0])):0,Lr=Fe?Math.min(D1,Math.round(Fe[1])):0;m.emplaceBack(y,I,Math.round(U*32),Math.round(J*32),ne,fe,(nr<<1)+(Qe?1:0),Lr,st*16,mt*16,Xt*256,ur*256)}function aq(m,y,I){m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I)}function cQe(m){for(var y=0,I=m.sections;y<I.length;y+=1){var U=I[y];if(vi(U.text))return!0}return!1}var Xw=function(y){this.layoutVertexArray=new Za,this.indexArray=new ma,this.programConfigurations=y,this.segments=new ns,this.dynamicLayoutVertexArray=new wn,this.opacityVertexArray=new vn,this.placedSymbolArray=new El};Xw.prototype.isEmpty=function(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0},Xw.prototype.upload=function(y,I,U,J){this.isEmpty()||(U&&(this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,te.members),this.indexBuffer=y.createIndexBuffer(this.indexArray,I),this.dynamicLayoutVertexBuffer=y.createVertexBuffer(this.dynamicLayoutVertexArray,ue.members,!0),this.opacityVertexBuffer=y.createVertexBuffer(this.opacityVertexArray,uQe,!0),this.opacityVertexBuffer.itemSize=1),(U||J)&&this.programConfigurations.upload(y))},Xw.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Z(\"SymbolBuffers\",Xw);var AS=function(y,I,U){this.layoutVertexArray=new y,this.layoutAttributes=I,this.indexArray=new U,this.segments=new ns,this.collisionVertexArray=new Vn};AS.prototype.upload=function(y){this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=y.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=y.createVertexBuffer(this.collisionVertexArray,De.members,!0)},AS.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Z(\"CollisionBuffers\",AS);var au=function(y){this.collisionBoxArray=y.collisionBoxArray,this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(Qe){return Qe.id}),this.index=y.index,this.pixelRatio=y.pixelRatio,this.sourceLayerIndex=y.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=oy([]),this.placementViewportMatrix=oy([]);var I=this.layers[0],U=I._unevaluatedLayout._values;this.textSizeData=yp(this.zoom,U[\"text-size\"]),this.iconSizeData=yp(this.zoom,U[\"icon-size\"]);var J=this.layers[0].layout,ne=J.get(\"symbol-sort-key\"),fe=J.get(\"symbol-z-order\");this.canOverlap=J.get(\"text-allow-overlap\")||J.get(\"icon-allow-overlap\")||J.get(\"text-ignore-placement\")||J.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=fe!==\"viewport-y\"&&ne.constantOr(1)!==void 0;var Fe=fe===\"viewport-y\"||fe===\"auto\"&&!this.sortFeaturesByKey;this.sortFeaturesByY=Fe&&this.canOverlap,J.get(\"symbol-placement\")===\"point\"&&(this.writingModes=J.get(\"text-writing-mode\").map(function(Qe){return uv[Qe]})),this.stateDependentLayerIds=this.layers.filter(function(Qe){return Qe.isStateDependent()}).map(function(Qe){return Qe.id}),this.sourceID=y.sourceID};au.prototype.createArrays=function(){this.text=new Xw(new Ri(this.layers,this.zoom,function(y){return/^text/.test(y)})),this.icon=new Xw(new Ri(this.layers,this.zoom,function(y){return/^icon/.test(y)})),this.glyphOffsetArray=new yf,this.lineVertexArray=new Hl,this.symbolInstances=new wc},au.prototype.calculateGlyphDependencies=function(y,I,U,J,ne){for(var fe=0;fe<y.length;fe++)if(I[y.charCodeAt(fe)]=!0,(U||J)&&ne){var Fe=pi[y.charAt(fe)];Fe&&(I[Fe.charCodeAt(0)]=!0)}},au.prototype.populate=function(y,I,U){var J=this.layers[0],ne=J.layout,fe=ne.get(\"text-font\"),Fe=ne.get(\"text-field\"),Qe=ne.get(\"icon-image\"),st=(Fe.value.kind!==\"constant\"||Fe.value.value instanceof Ul&&!Fe.value.value.isEmpty()||Fe.value.value.toString().length>0)&&(fe.value.kind!==\"constant\"||fe.value.value.length>0),mt=Qe.value.kind!==\"constant\"||!!Qe.value.value||Object.keys(Qe.parameters).length>0,Xt=ne.get(\"symbol-sort-key\");if(this.features=[],!(!st&&!mt)){for(var ur=I.iconDependencies,nr=I.glyphDependencies,Lr=I.availableImages,Yr=new pn(this.zoom),_i=0,si=y;_i<si.length;_i+=1){var Hi=si[_i],Ei=Hi.feature,Vi=Hi.id,en=Hi.index,An=Hi.sourceLayerIndex,ra=J._featureFilter.needGeometry,$n=No(Ei,ra);if(J._featureFilter.filter(Yr,$n,U)){ra||($n.geometry=da(Ei));var Ba=void 0;if(st){var _a=J.getValueAndResolveTokens(\"text-field\",$n,U,Lr),Pa=Ul.factory(_a);cQe(Pa)&&(this.hasRTLText=!0),(!this.hasRTLText||so()===\"unavailable\"||this.hasRTLText&&_s.isParsed())&&(Ba=ni(Pa,J,$n))}var qo=void 0;if(mt){var Na=J.getValueAndResolveTokens(\"icon-image\",$n,U,Lr);Na instanceof Js?qo=Na:qo=Js.fromString(Na)}if(!(!Ba&&!qo)){var ja=this.sortFeaturesByKey?Xt.evaluate($n,{},U):void 0,us={id:Vi,text:Ba,icon:qo,index:en,sourceLayerIndex:An,geometry:$n.geometry,properties:Ei.properties,type:lQe[Ei.type],sortKey:ja};if(this.features.push(us),qo&&(ur[qo.name]=!0),Ba){var zo=fe.evaluate($n,{},U).join(\",\"),rl=ne.get(\"text-rotation-alignment\")===\"map\"&&ne.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(uv.vertical)>=0;for(var ou=0,il=Ba.sections;ou<il.length;ou+=1){var nl=il[ou];if(nl.image)ur[nl.image.name]=!0;else{var Ws=zt(Ba.toString()),Au=nl.fontStack||zo,Ou=nr[Au]=nr[Au]||{};this.calculateGlyphDependencies(nl.text,Ou,rl,this.allowVerticalPlacement,Ws)}}}}}}ne.get(\"symbol-placement\")===\"line\"&&(this.features=Di(this.features)),this.sortFeaturesByKey&&this.features.sort(function(nf,bf){return nf.sortKey-bf.sortKey})}},au.prototype.update=function(y,I,U){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(y,I,this.layers,U),this.icon.programConfigurations.updatePaintArrays(y,I,this.layers,U))},au.prototype.isEmpty=function(){return this.symbolInstances.length===0&&!this.hasRTLText},au.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},au.prototype.upload=function(y){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(y),this.iconCollisionBox.upload(y)),this.text.upload(y,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(y,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},au.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},au.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},au.prototype.addToLineVertexArray=function(y,I){var U=this.lineVertexArray.length;if(y.segment!==void 0){for(var J=y.dist(I[y.segment+1]),ne=y.dist(I[y.segment]),fe={},Fe=y.segment+1;Fe<I.length;Fe++)fe[Fe]={x:I[Fe].x,y:I[Fe].y,tileUnitDistanceFromAnchor:J},Fe<I.length-1&&(J+=I[Fe+1].dist(I[Fe]));for(var Qe=y.segment||0;Qe>=0;Qe--)fe[Qe]={x:I[Qe].x,y:I[Qe].y,tileUnitDistanceFromAnchor:ne},Qe>0&&(ne+=I[Qe-1].dist(I[Qe]));for(var st=0;st<I.length;st++){var mt=fe[st];this.lineVertexArray.emplaceBack(mt.x,mt.y,mt.tileUnitDistanceFromAnchor)}}return{lineStartIndex:U,lineLength:this.lineVertexArray.length-U}},au.prototype.addSymbols=function(y,I,U,J,ne,fe,Fe,Qe,st,mt,Xt,ur){for(var nr=y.indexArray,Lr=y.layoutVertexArray,Yr=y.segments.prepareSegment(4*I.length,Lr,nr,this.canOverlap?fe.sortKey:void 0),_i=this.glyphOffsetArray.length,si=Yr.vertexLength,Hi=this.allowVerticalPlacement&&Fe===uv.vertical?Math.PI/2:0,Ei=fe.text&&fe.text.sections,Vi=0;Vi<I.length;Vi++){var en=I[Vi],An=en.tl,ra=en.tr,$n=en.bl,Ba=en.br,_a=en.tex,Pa=en.pixelOffsetTL,qo=en.pixelOffsetBR,Na=en.minFontScaleX,ja=en.minFontScaleY,us=en.glyphOffset,zo=en.isSDF,rl=en.sectionIndex,ou=Yr.vertexLength,il=us[1];jC(Lr,Qe.x,Qe.y,An.x,il+An.y,_a.x,_a.y,U,zo,Pa.x,Pa.y,Na,ja),jC(Lr,Qe.x,Qe.y,ra.x,il+ra.y,_a.x+_a.w,_a.y,U,zo,qo.x,Pa.y,Na,ja),jC(Lr,Qe.x,Qe.y,$n.x,il+$n.y,_a.x,_a.y+_a.h,U,zo,Pa.x,qo.y,Na,ja),jC(Lr,Qe.x,Qe.y,Ba.x,il+Ba.y,_a.x+_a.w,_a.y+_a.h,U,zo,qo.x,qo.y,Na,ja),aq(y.dynamicLayoutVertexArray,Qe,Hi),nr.emplaceBack(ou,ou+1,ou+2),nr.emplaceBack(ou+1,ou+2,ou+3),Yr.vertexLength+=4,Yr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(us[0]),(Vi===I.length-1||rl!==I[Vi+1].sectionIndex)&&y.programConfigurations.populatePaintArrays(Lr.length,fe,fe.index,{},ur,Ei&&Ei[rl])}y.placedSymbolArray.emplaceBack(Qe.x,Qe.y,_i,this.glyphOffsetArray.length-_i,si,st,mt,Qe.segment,U?U[0]:0,U?U[1]:0,J[0],J[1],Fe,0,!1,0,Xt)},au.prototype._addCollisionDebugVertex=function(y,I,U,J,ne,fe){return I.emplaceBack(0,0),y.emplaceBack(U.x,U.y,J,ne,Math.round(fe.x),Math.round(fe.y))},au.prototype.addCollisionDebugVertices=function(y,I,U,J,ne,fe,Fe){var Qe=ne.segments.prepareSegment(4,ne.layoutVertexArray,ne.indexArray),st=Qe.vertexLength,mt=ne.layoutVertexArray,Xt=ne.collisionVertexArray,ur=Fe.anchorX,nr=Fe.anchorY;this._addCollisionDebugVertex(mt,Xt,fe,ur,nr,new u(y,I)),this._addCollisionDebugVertex(mt,Xt,fe,ur,nr,new u(U,I)),this._addCollisionDebugVertex(mt,Xt,fe,ur,nr,new u(U,J)),this._addCollisionDebugVertex(mt,Xt,fe,ur,nr,new u(y,J)),Qe.vertexLength+=4;var Lr=ne.indexArray;Lr.emplaceBack(st,st+1),Lr.emplaceBack(st+1,st+2),Lr.emplaceBack(st+2,st+3),Lr.emplaceBack(st+3,st),Qe.primitiveLength+=4},au.prototype.addDebugCollisionBoxes=function(y,I,U,J){for(var ne=y;ne<I;ne++){var fe=this.collisionBoxArray.get(ne),Fe=fe.x1,Qe=fe.y1,st=fe.x2,mt=fe.y2;this.addCollisionDebugVertices(Fe,Qe,st,mt,J?this.textCollisionBox:this.iconCollisionBox,fe.anchorPoint,U)}},au.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new AS(aa,at.members,Po),this.iconCollisionBox=new AS(aa,at.members,Po);for(var y=0;y<this.symbolInstances.length;y++){var I=this.symbolInstances.get(y);this.addDebugCollisionBoxes(I.textBoxStartIndex,I.textBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.verticalTextBoxStartIndex,I.verticalTextBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.iconBoxStartIndex,I.iconBoxEndIndex,I,!1),this.addDebugCollisionBoxes(I.verticalIconBoxStartIndex,I.verticalIconBoxEndIndex,I,!1)}},au.prototype._deserializeCollisionBoxesForSymbol=function(y,I,U,J,ne,fe,Fe,Qe,st){for(var mt={},Xt=I;Xt<U;Xt++){var ur=y.get(Xt);mt.textBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},mt.textFeatureIndex=ur.featureIndex;break}for(var nr=J;nr<ne;nr++){var Lr=y.get(nr);mt.verticalTextBox={x1:Lr.x1,y1:Lr.y1,x2:Lr.x2,y2:Lr.y2,anchorPointX:Lr.anchorPointX,anchorPointY:Lr.anchorPointY},mt.verticalTextFeatureIndex=Lr.featureIndex;break}for(var Yr=fe;Yr<Fe;Yr++){var _i=y.get(Yr);mt.iconBox={x1:_i.x1,y1:_i.y1,x2:_i.x2,y2:_i.y2,anchorPointX:_i.anchorPointX,anchorPointY:_i.anchorPointY},mt.iconFeatureIndex=_i.featureIndex;break}for(var si=Qe;si<st;si++){var Hi=y.get(si);mt.verticalIconBox={x1:Hi.x1,y1:Hi.y1,x2:Hi.x2,y2:Hi.y2,anchorPointX:Hi.anchorPointX,anchorPointY:Hi.anchorPointY},mt.verticalIconFeatureIndex=Hi.featureIndex;break}return mt},au.prototype.deserializeCollisionBoxes=function(y){this.collisionArrays=[];for(var I=0;I<this.symbolInstances.length;I++){var U=this.symbolInstances.get(I);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(y,U.textBoxStartIndex,U.textBoxEndIndex,U.verticalTextBoxStartIndex,U.verticalTextBoxEndIndex,U.iconBoxStartIndex,U.iconBoxEndIndex,U.verticalIconBoxStartIndex,U.verticalIconBoxEndIndex))}},au.prototype.hasTextData=function(){return this.text.segments.get().length>0},au.prototype.hasIconData=function(){return this.icon.segments.get().length>0},au.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},au.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},au.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},au.prototype.addIndicesForPlacedSymbol=function(y,I){for(var U=y.placedSymbolArray.get(I),J=U.vertexStartIndex+U.numGlyphs*4,ne=U.vertexStartIndex;ne<J;ne+=4)y.indexArray.emplaceBack(ne,ne+1,ne+2),y.indexArray.emplaceBack(ne+1,ne+2,ne+3)},au.prototype.getSortedSymbolIndexes=function(y){if(this.sortedAngle===y&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;for(var I=Math.sin(y),U=Math.cos(y),J=[],ne=[],fe=[],Fe=0;Fe<this.symbolInstances.length;++Fe){fe.push(Fe);var Qe=this.symbolInstances.get(Fe);J.push(Math.round(I*Qe.anchorX+U*Qe.anchorY)|0),ne.push(Qe.featureIndex)}return fe.sort(function(st,mt){return J[st]-J[mt]||ne[mt]-ne[st]}),fe},au.prototype.addToSortKeyRanges=function(y,I){var U=this.sortKeyRanges[this.sortKeyRanges.length-1];U&&U.sortKey===I?U.symbolInstanceEnd=y+1:this.sortKeyRanges.push({sortKey:I,symbolInstanceStart:y,symbolInstanceEnd:y+1})},au.prototype.sortFeatures=function(y){var I=this;if(this.sortFeaturesByY&&this.sortedAngle!==y&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(y),this.sortedAngle=y,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var U=0,J=this.symbolInstanceIndexes;U<J.length;U+=1){var ne=J[U],fe=this.symbolInstances.get(ne);this.featureSortOrder.push(fe.featureIndex),[fe.rightJustifiedTextSymbolIndex,fe.centerJustifiedTextSymbolIndex,fe.leftJustifiedTextSymbolIndex].forEach(function(Fe,Qe,st){Fe>=0&&st.indexOf(Fe)===Qe&&I.addIndicesForPlacedSymbol(I.text,Fe)}),fe.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,fe.verticalPlacedTextSymbolIndex),fe.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,fe.placedIconSymbolIndex),fe.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,fe.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Z(\"SymbolBucket\",au,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),au.MAX_GLYPHS=65535,au.addDynamicAttributes=aq;function fQe(m,y){return y.replace(/{([^{}]+)}/g,function(I,U){return U in m?String(m[U]):\"\"})}var hQe=new Oi({\"symbol-placement\":new At(on.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new At(on.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new At(on.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Er(on.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new At(on.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new At(on.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new At(on.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new At(on.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new At(on.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Er(on.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new At(on.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new At(on.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Er(on.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Er(on.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new At(on.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new At(on.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Er(on.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Er(on.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new At(on.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new At(on.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new At(on.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Er(on.layout_symbol[\"text-field\"]),\"text-font\":new Er(on.layout_symbol[\"text-font\"]),\"text-size\":new Er(on.layout_symbol[\"text-size\"]),\"text-max-width\":new Er(on.layout_symbol[\"text-max-width\"]),\"text-line-height\":new At(on.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Er(on.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Er(on.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Er(on.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new At(on.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Er(on.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new At(on.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new At(on.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Er(on.layout_symbol[\"text-rotate\"]),\"text-padding\":new At(on.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new At(on.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Er(on.layout_symbol[\"text-transform\"]),\"text-offset\":new Er(on.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new At(on.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new At(on.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new At(on.layout_symbol[\"text-optional\"])}),dQe=new Oi({\"icon-opacity\":new Er(on.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Er(on.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Er(on.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Er(on.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Er(on.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new At(on.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new At(on.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Er(on.paint_symbol[\"text-opacity\"]),\"text-color\":new Er(on.paint_symbol[\"text-color\"],{runtimeType:Tl,getOverride:function(m){return m.textColor},hasOverride:function(m){return!!m.textColor}}),\"text-halo-color\":new Er(on.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Er(on.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Er(on.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new At(on.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new At(on.paint_symbol[\"text-translate-anchor\"])}),oq={paint:dQe,layout:hQe},Yw=function(y){this.type=y.property.overrides?y.property.overrides.runtimeType:Ec,this.defaultValue=y};Yw.prototype.evaluate=function(y){if(y.formattedSection){var I=this.defaultValue.property.overrides;if(I&&I.hasOverride(y.formattedSection))return I.getOverride(y.formattedSection)}return y.feature&&y.featureState?this.defaultValue.evaluate(y.feature,y.featureState):this.defaultValue.property.specification.default},Yw.prototype.eachChild=function(y){if(!this.defaultValue.isConstant()){var I=this.defaultValue.value;y(I._styleExpression.expression)}},Yw.prototype.outputDefined=function(){return!1},Yw.prototype.serialize=function(){return null},Z(\"FormatSectionOverride\",Yw,{omit:[\"defaultValue\"]});var vQe=function(m){function y(I){m.call(this,I,oq)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.recalculate=function(U,J){if(m.prototype.recalculate.call(this,U,J),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){var ne=this.layout.get(\"text-writing-mode\");if(ne){for(var fe=[],Fe=0,Qe=ne;Fe<Qe.length;Fe+=1){var st=Qe[Fe];fe.indexOf(st)<0&&fe.push(st)}this.layout._values[\"text-writing-mode\"]=fe}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},y.prototype.getValueAndResolveTokens=function(U,J,ne,fe){var Fe=this.layout.get(U).evaluate(J,{},ne,fe),Qe=this._unevaluatedLayout._values[U];return!Qe.isDataDriven()&&!Da(Qe.value)&&Fe?fQe(J.properties,Fe):Fe},y.prototype.createBucket=function(U){return new au(U)},y.prototype.queryRadius=function(){return 0},y.prototype.queryIntersectsFeature=function(){return!1},y.prototype._setPaintOverrides=function(){for(var U=0,J=oq.paint.overridableProperties;U<J.length;U+=1){var ne=J[U];if(y.hasPaintOverride(this.layout,ne)){var fe=this.paint.get(ne),Fe=new Yw(fe),Qe=new Dc(Fe,fe.property.specification),st=null;fe.value.kind===\"constant\"||fe.value.kind===\"source\"?st=new Jc(\"source\",Qe):st=new yc(\"composite\",Qe,fe.value.zoomStops,fe.value._interpolationType),this.paint._values[ne]=new dl(fe.property,st,fe.parameters)}}},y.prototype._handleOverridablePaintPropertyUpdate=function(U,J,ne){return!this.layout||J.isDataDriven()||ne.isDataDriven()?!1:y.hasPaintOverride(this.layout,U)},y.hasPaintOverride=function(U,J){var ne=U.get(\"text-field\"),fe=oq.paint.properties[J],Fe=!1,Qe=function(Xt){for(var ur=0,nr=Xt;ur<nr.length;ur+=1){var Lr=nr[ur];if(fe.overrides&&fe.overrides.hasOverride(Lr)){Fe=!0;return}}};if(ne.value.kind===\"constant\"&&ne.value.value instanceof Ul)Qe(ne.value.value.sections);else if(ne.value.kind===\"source\"){var st=function(Xt){if(!Fe)if(Xt instanceof hs&&ws(Xt.value)===Al){var ur=Xt.value;Qe(ur.sections)}else Xt instanceof ec?Qe(Xt.sections):Xt.eachChild(st)},mt=ne.value;mt._styleExpression&&st(mt._styleExpression.expression)}return Fe},y}(cn),pQe=new Oi({\"background-color\":new At(on.paint_background[\"background-color\"]),\"background-pattern\":new wi(on.paint_background[\"background-pattern\"]),\"background-opacity\":new At(on.paint_background[\"background-opacity\"])}),gQe={paint:pQe},mQe=function(m){function y(I){m.call(this,I,gQe)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y}(cn),yQe=new Oi({\"raster-opacity\":new At(on.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new At(on.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new At(on.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new At(on.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new At(on.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new At(on.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new At(on.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new At(on.paint_raster[\"raster-fade-duration\"])}),_Qe={paint:yQe},xQe=function(m){function y(I){m.call(this,I,_Qe)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y}(cn);function bQe(m){var y=[],I=m.id;return I===void 0&&y.push({message:\"layers.\"+I+': missing required property \"id\"'}),m.render===void 0&&y.push({message:\"layers.\"+I+': missing required method \"render\"'}),m.renderingMode&&m.renderingMode!==\"2d\"&&m.renderingMode!==\"3d\"&&y.push({message:\"layers.\"+I+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),y}var wQe=function(m){function y(I){m.call(this,I,{}),this.implementation=I}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.is3D=function(){return this.implementation.renderingMode===\"3d\"},y.prototype.hasOffscreenPass=function(){return this.implementation.prerender!==void 0},y.prototype.recalculate=function(){},y.prototype.updateTransitions=function(){},y.prototype.hasTransition=function(){},y.prototype.serialize=function(){},y.prototype.onAdd=function(U){this.implementation.onAdd&&this.implementation.onAdd(U,U.painter.context.gl)},y.prototype.onRemove=function(U){this.implementation.onRemove&&this.implementation.onRemove(U,U.painter.context.gl)},y}(cn),TQe={circle:q9,heatmap:Lw,hillshade:fC,fill:$x,\"fill-extrusion\":fm,line:S,symbol:vQe,background:mQe,raster:xQe};function AQe(m){return m.type===\"custom\"?new wQe(m):new TQe[m.type](m)}var LQ=f.HTMLImageElement,PQ=f.HTMLCanvasElement,IQ=f.HTMLVideoElement,RQ=f.ImageData,WC=f.ImageBitmap,rb=function(y,I,U,J){this.context=y,this.format=U,this.texture=y.gl.createTexture(),this.update(I,J)};rb.prototype.update=function(y,I,U){var J=y.width,ne=y.height,fe=(!this.size||this.size[0]!==J||this.size[1]!==ne)&&!U,Fe=this,Qe=Fe.context,st=Qe.gl;if(this.useMipmap=!!(I&&I.useMipmap),st.bindTexture(st.TEXTURE_2D,this.texture),Qe.pixelStoreUnpackFlipY.set(!1),Qe.pixelStoreUnpack.set(1),Qe.pixelStoreUnpackPremultiplyAlpha.set(this.format===st.RGBA&&(!I||I.premultiply!==!1)),fe)this.size=[J,ne],y instanceof LQ||y instanceof PQ||y instanceof IQ||y instanceof RQ||WC&&y instanceof WC?st.texImage2D(st.TEXTURE_2D,0,this.format,this.format,st.UNSIGNED_BYTE,y):st.texImage2D(st.TEXTURE_2D,0,this.format,J,ne,0,this.format,st.UNSIGNED_BYTE,y.data);else{var mt=U||{x:0,y:0},Xt=mt.x,ur=mt.y;y instanceof LQ||y instanceof PQ||y instanceof IQ||y instanceof RQ||WC&&y instanceof WC?st.texSubImage2D(st.TEXTURE_2D,0,Xt,ur,st.RGBA,st.UNSIGNED_BYTE,y):st.texSubImage2D(st.TEXTURE_2D,0,Xt,ur,J,ne,st.RGBA,st.UNSIGNED_BYTE,y.data)}this.useMipmap&&this.isSizePowerOfTwo()&&st.generateMipmap(st.TEXTURE_2D)},rb.prototype.bind=function(y,I,U){var J=this,ne=J.context,fe=ne.gl;fe.bindTexture(fe.TEXTURE_2D,this.texture),U===fe.LINEAR_MIPMAP_NEAREST&&!this.isSizePowerOfTwo()&&(U=fe.LINEAR),y!==this.filter&&(fe.texParameteri(fe.TEXTURE_2D,fe.TEXTURE_MAG_FILTER,y),fe.texParameteri(fe.TEXTURE_2D,fe.TEXTURE_MIN_FILTER,U||y),this.filter=y),I!==this.wrap&&(fe.texParameteri(fe.TEXTURE_2D,fe.TEXTURE_WRAP_S,I),fe.texParameteri(fe.TEXTURE_2D,fe.TEXTURE_WRAP_T,I),this.wrap=I)},rb.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1===0},rb.prototype.destroy=function(){var y=this.context,I=y.gl;I.deleteTexture(this.texture),this.texture=null};var sq=function(y){var I=this;this._callback=y,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){I._triggered=!1,I._callback()})};sq.prototype.trigger=function(){var y=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){y._triggered=!1,y._callback()},0))},sq.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Kw=function(y,I,U){this.target=y,this.parent=I,this.mapId=U,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},q([\"receive\",\"process\"],this),this.invoker=new sq(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=ke()?y:f};Kw.prototype.send=function(y,I,U,J,ne){var fe=this;ne===void 0&&(ne=!1);var Fe=Math.round(Math.random()*1e18).toString(36).substring(0,10);U&&(this.callbacks[Fe]=U);var Qe=Te(this.globalScope)?void 0:[];return this.target.postMessage({id:Fe,type:y,hasCallback:!!U,targetMapId:J,mustQueue:ne,sourceMapId:this.mapId,data:Ue(I,Qe)},Qe),{cancel:function(){U&&delete fe.callbacks[Fe],fe.target.postMessage({id:Fe,type:\"<cancel>\",targetMapId:J,sourceMapId:fe.mapId})}}},Kw.prototype.receive=function(y){var I=y.data,U=I.id;if(U&&!(I.targetMapId&&this.mapId!==I.targetMapId))if(I.type===\"<cancel>\"){delete this.tasks[U];var J=this.cancelCallbacks[U];delete this.cancelCallbacks[U],J&&J()}else ke()||I.mustQueue?(this.tasks[U]=I,this.taskQueue.push(U),this.invoker.trigger()):this.processTask(U,I)},Kw.prototype.process=function(){if(this.taskQueue.length){var y=this.taskQueue.shift(),I=this.tasks[y];delete this.tasks[y],this.taskQueue.length&&this.invoker.trigger(),I&&this.processTask(y,I)}},Kw.prototype.processTask=function(y,I){var U=this;if(I.type===\"<response>\"){var J=this.callbacks[y];delete this.callbacks[y],J&&(I.error?J(We(I.error)):J(null,We(I.data)))}else{var ne=!1,fe=Te(this.globalScope)?void 0:[],Fe=I.hasCallback?function(ur,nr){ne=!0,delete 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jf=function(y,I){y&&(I?this.setSouthWest(y).setNorthEast(I):y.length===4?this.setSouthWest([y[0],y[1]]).setNorthEast([y[2],y[3]]):this.setSouthWest(y[0]).setNorthEast(y[1]))};jf.prototype.setNorthEast=function(y){return this._ne=y instanceof sc?new sc(y.lng,y.lat):sc.convert(y),this},jf.prototype.setSouthWest=function(y){return this._sw=y instanceof sc?new sc(y.lng,y.lat):sc.convert(y),this},jf.prototype.extend=function(y){var I=this._sw,U=this._ne,J,ne;if(y instanceof sc)J=y,ne=y;else if(y instanceof jf){if(J=y._sw,ne=y._ne,!J||!ne)return this}else{if(Array.isArray(y))if(y.length===4||y.every(Array.isArray)){var fe=y;return this.extend(jf.convert(fe))}else{var Fe=y;return this.extend(sc.convert(Fe))}return this}return!I&&!U?(this._sw=new sc(J.lng,J.lat),this._ne=new sc(ne.lng,ne.lat)):(I.lng=Math.min(J.lng,I.lng),I.lat=Math.min(J.lat,I.lat),U.lng=Math.max(ne.lng,U.lng),U.lat=Math.max(ne.lat,U.lat)),this},jf.prototype.getCenter=function(){return new sc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},jf.prototype.getSouthWest=function(){return this._sw},jf.prototype.getNorthEast=function(){return this._ne},jf.prototype.getNorthWest=function(){return new sc(this.getWest(),this.getNorth())},jf.prototype.getSouthEast=function(){return new sc(this.getEast(),this.getSouth())},jf.prototype.getWest=function(){return this._sw.lng},jf.prototype.getSouth=function(){return this._sw.lat},jf.prototype.getEast=function(){return this._ne.lng},jf.prototype.getNorth=function(){return this._ne.lat},jf.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},jf.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},jf.prototype.isEmpty=function(){return!(this._sw&&this._ne)},jf.prototype.contains=function(y){var I=sc.convert(y),U=I.lng,J=I.lat,ne=this._sw.lat<=J&&J<=this._ne.lat,fe=this._sw.lng<=U&&U<=this._ne.lng;return this._sw.lng>this._ne.lng&&(fe=this._sw.lng>=U&&U>=this._ne.lng),ne&&fe},jf.convert=function(y){return!y||y instanceof jf?y:new jf(y)};var zQ=63710088e-1,sc=function(y,I){if(isNaN(y)||isNaN(I))throw new Error(\"Invalid LngLat object: (\"+y+\", \"+I+\")\");if(this.lng=+y,this.lat=+I,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};sc.prototype.wrap=function(){return new sc(E(this.lng,-180,180),this.lat)},sc.prototype.toArray=function(){return[this.lng,this.lat]},sc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},sc.prototype.distanceTo=function(y){var I=Math.PI/180,U=this.lat*I,J=y.lat*I,ne=Math.sin(U)*Math.sin(J)+Math.cos(U)*Math.cos(J)*Math.cos((y.lng-this.lng)*I),fe=zQ*Math.acos(Math.min(ne,1));return fe},sc.prototype.toBounds=function(y){y===void 0&&(y=0);var I=40075017,U=360*y/I,J=U/Math.cos(Math.PI/180*this.lat);return new jf(new sc(this.lng-J,this.lat-U),new sc(this.lng+J,this.lat+U))},sc.convert=function(y){if(y instanceof sc)return y;if(Array.isArray(y)&&(y.length===2||y.length===3))return new sc(Number(y[0]),Number(y[1]));if(!Array.isArray(y)&&typeof y==\"object\"&&y!==null)return new sc(Number(\"lng\"in y?y.lng:y.lon),Number(y.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var FQ=2*Math.PI*zQ;function qQ(m){return FQ*Math.cos(m*Math.PI/180)}function OQ(m){return(180+m)/360}function BQ(m){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+m*Math.PI/360)))/360}function NQ(m,y){return m/qQ(y)}function MQe(m){return m*360-180}function lq(m){var y=180-m*360;return 360/Math.PI*Math.atan(Math.exp(y*Math.PI/180))-90}function EQe(m,y){return m*qQ(lq(y))}function kQe(m){return 1/Math.cos(m*Math.PI/180)}var ib=function(y,I,U){U===void 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y.overscaledZ===0||y.overscaledZ<this.overscaledZ&&y.canonical.x===this.canonical.x>>I&&y.canonical.y===this.canonical.y>>I},Wf.prototype.children=function(y){if(this.overscaledZ>=y)return[new Wf(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var I=this.canonical.z+1,U=this.canonical.x*2,J=this.canonical.y*2;return[new Wf(I,this.wrap,I,U,J),new Wf(I,this.wrap,I,U+1,J),new Wf(I,this.wrap,I,U,J+1),new Wf(I,this.wrap,I,U+1,J+1)]},Wf.prototype.isLessThan=function(y){return this.wrap<y.wrap?!0:this.wrap>y.wrap?!1:this.overscaledZ<y.overscaledZ?!0:this.overscaledZ>y.overscaledZ?!1:this.canonical.x<y.canonical.x?!0:this.canonical.x>y.canonical.x?!1:this.canonical.y<y.canonical.y},Wf.prototype.wrapped=function(){return new Wf(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Wf.prototype.unwrapTo=function(y){return new Wf(this.overscaledZ,y,this.canonical.z,this.canonical.x,this.canonical.y)},Wf.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Wf.prototype.toUnwrapped=function(){return new UQ(this.wrap,this.canonical)},Wf.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Wf.prototype.getTilePoint=function(y){return this.canonical.getTilePoint(new ib(y.x-this.wrap,y.y))};function SS(m,y,I,U,J){m*=2,m<0&&(m=m*-1-1);var ne=1<<I;return(ne*ne*m+ne*J+U).toString(36)+I.toString(36)+y.toString(36)}function CQe(m,y,I){for(var U=\"\",J,ne=m;ne>0;ne--)J=1<<ne-1,U+=(y&J?1:0)+(I&J?2:0);return U}Z(\"CanonicalTileID\",nb),Z(\"OverscaledTileID\",Wf,{omit:[\"posMatrix\"]});var dy=function(y,I,U){if(this.uid=y,I.height!==I.width)throw new RangeError(\"DEM tiles must be square\");if(U&&U!==\"mapbox\"&&U!==\"terrarium\")return re('\"'+U+'\" is not a valid encoding type. 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this.encoding===\"terrarium\"?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},dy.prototype._idx=function(y,I){if(y<-1||y>=this.dim+1||I<-1||I>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(I+1)*this.stride+(y+1)},dy.prototype._unpackMapbox=function(y,I,U){return(y*256*256+I*256+U)/10-1e4},dy.prototype._unpackTerrarium=function(y,I,U){return y*256+I+U/256-32768},dy.prototype.getPixels=function(){return new lh({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},dy.prototype.backfillBorder=function(y,I,U){if(this.dim!==y.dim)throw new Error(\"dem dimension mismatch\");var J=I*this.dim,ne=I*this.dim+this.dim,fe=U*this.dim,Fe=U*this.dim+this.dim;switch(I){case-1:J=ne-1;break;case 1:ne=J+1;break}switch(U){case-1:fe=Fe-1;break;case 1:Fe=fe+1;break}for(var Qe=-I*this.dim,st=-U*this.dim,mt=fe;mt<Fe;mt++)for(var Xt=J;Xt<ne;Xt++)this.data[this._idx(Xt,mt)]=y.data[this._idx(Xt+Qe,mt+st)]},Z(\"DEMData\",dy);function LQe(m,y){var I={};if(!y)return I;for(var U=function(){var fe=ne[J],Fe=fe.layerIds.map(function(Xt){return y.getLayer(Xt)}).filter(Boolean);if(Fe.length!==0){fe.layers=Fe,fe.stateDependentLayerIds&&(fe.stateDependentLayers=fe.stateDependentLayerIds.map(function(Xt){return Fe.filter(function(ur){return ur.id===Xt})[0]}));for(var Qe=0,st=Fe;Qe<st.length;Qe+=1){var mt=st[Qe];I[mt.id]=fe}}},J=0,ne=m;J<ne.length;J+=1)U();return I}var ZC=function(y){this._stringToNumber={},this._numberToString=[];for(var I=0;I<y.length;I++){var U=y[I];this._stringToNumber[U]=I,this._numberToString[I]=U}};ZC.prototype.encode=function(y){return this._stringToNumber[y]},ZC.prototype.decode=function(y){return this._numberToString[y]};var XC=function(y,I,U,J,ne){this.type=\"Feature\",this._vectorTileFeature=y,y._z=I,y._x=U,y._y=J,this.properties=y.properties,this.id=ne},uq={geometry:{configurable:!0}};uq.geometry.get=function(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},uq.geometry.set=function(m){this._geometry=m},XC.prototype.toJSON=function(){var y={geometry:this.geometry};for(var I in this)I===\"_geometry\"||I===\"_vectorTileFeature\"||(y[I]=this[I]);return y},Object.defineProperties(XC.prototype,uq);var Jw=function(){this.state={},this.stateChanges={},this.deletedStates={}};Jw.prototype.updateState=function(y,I,U){var J=String(I);if(this.stateChanges[y]=this.stateChanges[y]||{},this.stateChanges[y][J]=this.stateChanges[y][J]||{},_(this.stateChanges[y][J],U),this.deletedStates[y]===null){this.deletedStates[y]={};for(var ne in this.state[y])ne!==J&&(this.deletedStates[y][ne]=null)}else{var fe=this.deletedStates[y]&&this.deletedStates[y][J]===null;if(fe){this.deletedStates[y][J]={};for(var Fe in this.state[y][J])U[Fe]||(this.deletedStates[y][J][Fe]=null)}else for(var Qe in U){var st=this.deletedStates[y]&&this.deletedStates[y][J]&&this.deletedStates[y][J][Qe]===null;st&&delete this.deletedStates[y][J][Qe]}}},Jw.prototype.removeFeatureState=function(y,I,U){var J=this.deletedStates[y]===null;if(!J){var ne=String(I);if(this.deletedStates[y]=this.deletedStates[y]||{},U&&I!==void 0)this.deletedStates[y][ne]!==null&&(this.deletedStates[y][ne]=this.deletedStates[y][ne]||{},this.deletedStates[y][ne][U]=null);else if(I!==void 0){var fe=this.stateChanges[y]&&this.stateChanges[y][ne];if(fe){this.deletedStates[y][ne]={};for(U in this.stateChanges[y][ne])this.deletedStates[y][ne][U]=null}else this.deletedStates[y][ne]=null}else this.deletedStates[y]=null}},Jw.prototype.getState=function(y,I){var U=String(I),J=this.state[y]||{},ne=this.stateChanges[y]||{},fe=_({},J[U],ne[U]);if(this.deletedStates[y]===null)return{};if(this.deletedStates[y]){var Fe=this.deletedStates[y][I];if(Fe===null)return{};for(var Qe in Fe)delete fe[Qe]}return fe},Jw.prototype.initializeTileState=function(y,I){y.setFeatureState(this.state,I)},Jw.prototype.coalesceChanges=function(y,I){var U={};for(var J in this.stateChanges){this.state[J]=this.state[J]||{};var ne={};for(var fe in this.stateChanges[J])this.state[J][fe]||(this.state[J][fe]={}),_(this.state[J][fe],this.stateChanges[J][fe]),ne[fe]=this.state[J][fe];U[J]=ne}for(var Fe in this.deletedStates){this.state[Fe]=this.state[Fe]||{};var Qe={};if(this.deletedStates[Fe]===null)for(var st in this.state[Fe])Qe[st]={},this.state[Fe][st]={};else for(var mt in this.deletedStates[Fe]){var Xt=this.deletedStates[Fe][mt]===null;if(Xt)this.state[Fe][mt]={};else for(var ur=0,nr=Object.keys(this.deletedStates[Fe][mt]);ur<nr.length;ur+=1){var Lr=nr[ur];delete this.state[Fe][mt][Lr]}Qe[mt]=this.state[Fe][mt]}U[Fe]=U[Fe]||{},_(U[Fe],Qe)}if(this.stateChanges={},this.deletedStates={},Object.keys(U).length!==0)for(var Yr in y){var _i=y[Yr];_i.setFeatureState(U,I)}};var vy=function(y,I){this.tileID=y,this.x=y.canonical.x,this.y=y.canonical.y,this.z=y.canonical.z,this.grid=new cu(rn,16,0),this.grid3D=new cu(rn,16,0),this.featureIndexArray=new ef,this.promoteId=I};vy.prototype.insert=function(y,I,U,J,ne,fe){var Fe=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(U,J,ne);for(var Qe=fe?this.grid3D:this.grid,st=0;st<I.length;st++){for(var mt=I[st],Xt=[1/0,1/0,-1/0,-1/0],ur=0;ur<mt.length;ur++){var nr=mt[ur];Xt[0]=Math.min(Xt[0],nr.x),Xt[1]=Math.min(Xt[1],nr.y),Xt[2]=Math.max(Xt[2],nr.x),Xt[3]=Math.max(Xt[3],nr.y)}Xt[0]<rn&&Xt[1]<rn&&Xt[2]>=0&&Xt[3]>=0&&Qe.insert(Fe,Xt[0],Xt[1],Xt[2],Xt[3])}},vy.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new pg.VectorTile(new La(this.rawTileData)).layers,this.sourceLayerCoder=new ZC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},vy.prototype.query=function(y,I,U,J){var ne=this;this.loadVTLayers();for(var fe=y.params||{},Fe=rn/y.tileSize/y.scale,Qe=be(fe.filter),st=y.queryGeometry,mt=y.queryPadding*Fe,Xt=HQ(st),ur=this.grid.query(Xt.minX-mt,Xt.minY-mt,Xt.maxX+mt,Xt.maxY+mt),nr=HQ(y.cameraQueryGeometry),Lr=this.grid3D.query(nr.minX-mt,nr.minY-mt,nr.maxX+mt,nr.maxY+mt,function(An,ra,$n,Ba){return pp(y.cameraQueryGeometry,An-mt,ra-mt,$n+mt,Ba+mt)}),Yr=0,_i=Lr;Yr<_i.length;Yr+=1){var si=_i[Yr];ur.push(si)}ur.sort(PQe);for(var Hi={},Ei,Vi=function(An){var ra=ur[An];if(ra!==Ei){Ei=ra;var $n=ne.featureIndexArray.get(ra),Ba=null;ne.loadMatchingFeature(Hi,$n.bucketIndex,$n.sourceLayerIndex,$n.featureIndex,Qe,fe.layers,fe.availableImages,I,U,J,function(_a,Pa,qo){return Ba||(Ba=da(_a)),Pa.queryIntersectsFeature(st,_a,qo,Ba,ne.z,y.transform,Fe,y.pixelPosMatrix)})}},en=0;en<ur.length;en++)Vi(en);return Hi},vy.prototype.loadMatchingFeature=function(y,I,U,J,ne,fe,Fe,Qe,st,mt,Xt){var ur=this.bucketLayerIDs[I];if(!(fe&&!N(fe,ur))){var nr=this.sourceLayerCoder.decode(U),Lr=this.vtLayers[nr],Yr=Lr.feature(J);if(ne.needGeometry){var _i=No(Yr,!0);if(!ne.filter(new pn(this.tileID.overscaledZ),_i,this.tileID.canonical))return}else if(!ne.filter(new pn(this.tileID.overscaledZ),Yr))return;for(var si=this.getId(Yr,nr),Hi=0;Hi<ur.length;Hi++){var Ei=ur[Hi];if(!(fe&&fe.indexOf(Ei)<0)){var Vi=Qe[Ei];if(Vi){var en={};si!==void 0&&mt&&(en=mt.getState(Vi.sourceLayer||\"_geojsonTileLayer\",si));var An=_({},st[Ei]);An.paint=VQ(An.paint,Vi.paint,Yr,en,Fe),An.layout=VQ(An.layout,Vi.layout,Yr,en,Fe);var ra=!Xt||Xt(Yr,Vi,en);if(ra){var $n=new XC(Yr,this.z,this.x,this.y,si);$n.layer=An;var Ba=y[Ei];Ba===void 0&&(Ba=y[Ei]=[]),Ba.push({featureIndex:J,feature:$n,intersectionZ:ra})}}}}}},vy.prototype.lookupSymbolFeatures=function(y,I,U,J,ne,fe,Fe,Qe){var st={};this.loadVTLayers();for(var mt=be(ne),Xt=0,ur=y;Xt<ur.length;Xt+=1){var nr=ur[Xt];this.loadMatchingFeature(st,U,J,nr,mt,fe,Fe,Qe,I)}return st},vy.prototype.hasLayer=function(y){for(var I=0,U=this.bucketLayerIDs;I<U.length;I+=1)for(var J=U[I],ne=0,fe=J;ne<fe.length;ne+=1){var Fe=fe[ne];if(y===Fe)return!0}return!1},vy.prototype.getId=function(y,I){var U=y.id;if(this.promoteId){var J=typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[I];U=y.properties[J],typeof U==\"boolean\"&&(U=Number(U))}return U},Z(\"FeatureIndex\",vy,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});function VQ(m,y,I,U,J){return H(m,function(ne,fe){var Fe=y instanceof xc?y.get(fe):null;return Fe&&Fe.evaluate?Fe.evaluate(I,U,J):Fe})}function HQ(m){for(var y=1/0,I=1/0,U=-1/0,J=-1/0,ne=0,fe=m;ne<fe.length;ne+=1){var Fe=fe[ne];y=Math.min(y,Fe.x),I=Math.min(I,Fe.y),U=Math.max(U,Fe.x),J=Math.max(J,Fe.y)}return{minX:y,minY:I,maxX:U,maxY:J}}function PQe(m,y){return y-m}var IQe=3e4,Fh=function(y,I){this.tileID=y,this.uid=p(),this.uses=0,this.tileSize=I,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Fh.prototype.registerFadeDuration=function(y){var I=y+this.timeAdded;I<nt.now()||this.fadeEndTime&&I<this.fadeEndTime||(this.fadeEndTime=I)},Fh.prototype.wasRequested=function(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"},Fh.prototype.loadVectorData=function(y,I,U){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",!y){this.collisionBoxArray=new xs;return}y.featureIndex&&(this.latestFeatureIndex=y.featureIndex,y.rawTileData?(this.latestRawTileData=y.rawTileData,this.latestFeatureIndex.rawTileData=y.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=y.collisionBoxArray,this.buckets=LQe(y.buckets,I.style),this.hasSymbolBuckets=!1;for(var J in this.buckets){var ne=this.buckets[J];if(ne instanceof au)if(this.hasSymbolBuckets=!0,U)ne.justReloaded=!0;else break}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var fe in this.buckets){var Fe=this.buckets[fe];if(Fe instanceof au&&Fe.hasRTLText){this.hasRTLText=!0,Ns();break}}this.queryPadding=0;for(var Qe in this.buckets){var st=this.buckets[Qe];this.queryPadding=Math.max(this.queryPadding,I.style.getLayer(Qe).queryRadius(st))}y.imageAtlas&&(this.imageAtlas=y.imageAtlas),y.glyphAtlasImage&&(this.glyphAtlasImage=y.glyphAtlasImage)},Fh.prototype.unloadVectorData=function(){for(var y in this.buckets)this.buckets[y].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Fh.prototype.getBucket=function(y){return this.buckets[y.id]},Fh.prototype.upload=function(y){for(var I in this.buckets){var U=this.buckets[I];U.uploadPending()&&U.upload(y)}var J=y.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new rb(y,this.imageAtlas.image,J.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new rb(y,this.glyphAtlasImage,J.ALPHA),this.glyphAtlasImage=null)},Fh.prototype.prepare=function(y){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(y,this.imageAtlasTexture)},Fh.prototype.queryRenderedFeatures=function(y,I,U,J,ne,fe,Fe,Qe,st,mt){return!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData?{}:this.latestFeatureIndex.query({queryGeometry:J,cameraQueryGeometry:ne,scale:fe,tileSize:this.tileSize,pixelPosMatrix:mt,transform:Qe,params:Fe,queryPadding:this.queryPadding*st},y,I,U)},Fh.prototype.querySourceFeatures=function(y,I){var U=this.latestFeatureIndex;if(!(!U||!U.rawTileData)){var J=U.loadVTLayers(),ne=I?I.sourceLayer:\"\",fe=J._geojsonTileLayer||J[ne];if(fe)for(var Fe=be(I&&I.filter),Qe=this.tileID.canonical,st=Qe.z,mt=Qe.x,Xt=Qe.y,ur={z:st,x:mt,y:Xt},nr=0;nr<fe.length;nr++){var Lr=fe.feature(nr);if(Fe.needGeometry){var Yr=No(Lr,!0);if(!Fe.filter(new pn(this.tileID.overscaledZ),Yr,this.tileID.canonical))continue}else if(!Fe.filter(new pn(this.tileID.overscaledZ),Lr))continue;var _i=U.getId(Lr,ne),si=new XC(Lr,st,mt,Xt,_i);si.tile=ur,y.push(si)}}},Fh.prototype.hasData=function(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"},Fh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Fh.prototype.setExpiryData=function(y){var I=this.expirationTime;if(y.cacheControl){var U=ge(y.cacheControl);U[\"max-age\"]&&(this.expirationTime=Date.now()+U[\"max-age\"]*1e3)}else y.expires&&(this.expirationTime=new Date(y.expires).getTime());if(this.expirationTime){var J=Date.now(),ne=!1;if(this.expirationTime>J)ne=!1;else if(!I)ne=!0;else if(this.expirationTime<I)ne=!0;else{var fe=this.expirationTime-I;fe?this.expirationTime=J+Math.max(fe,IQe):ne=!0}ne?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Fh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)},Fh.prototype.setFeatureState=function(y,I){if(!(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(y).length===0)){var U=this.latestFeatureIndex.loadVTLayers();for(var J in this.buckets)if(I.style.hasLayer(J)){var ne=this.buckets[J],fe=ne.layers[0].sourceLayer||\"_geojsonTileLayer\",Fe=U[fe],Qe=y[fe];if(!(!Fe||!Qe||Object.keys(Qe).length===0)){ne.update(Qe,Fe,this.imageAtlas&&this.imageAtlas.patternPositions||{});var st=I&&I.style&&I.style.getLayer(J);st&&(this.queryPadding=Math.max(this.queryPadding,st.queryRadius(ne)))}}}},Fh.prototype.holdingForFade=function(){return this.symbolFadeHoldUntil!==void 0},Fh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<nt.now()},Fh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Fh.prototype.setHoldDuration=function(y){this.symbolFadeHoldUntil=nt.now()+y},Fh.prototype.setDependencies=function(y,I){for(var U={},J=0,ne=I;J<ne.length;J+=1){var fe=ne[J];U[fe]=!0}this.dependencies[y]=U},Fh.prototype.hasDependency=function(y,I){for(var U=0,J=y;U<J.length;U+=1){var ne=J[U],fe=this.dependencies[ne];if(fe)for(var Fe=0,Qe=I;Fe<Qe.length;Fe+=1){var st=Qe[Fe];if(fe[st])return!0}}return!1};var RQe=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],z1=f.performance,GQ=function(y){this._marks={start:[y.url,\"start\"].join(\"#\"),end:[y.url,\"end\"].join(\"#\"),measure:y.url.toString()},z1.mark(this._marks.start)};GQ.prototype.finish=function(){z1.mark(this._marks.end);var y=z1.getEntriesByName(this._marks.measure);return y.length===0&&(z1.measure(this._marks.measure,this._marks.start,this._marks.end),y=z1.getEntriesByName(this._marks.measure),z1.clearMarks(this._marks.start),z1.clearMarks(this._marks.end),z1.clearMeasures(this._marks.measure)),y},i.Actor=Kw,i.AlphaImage=Pv,i.CanonicalTileID=nb,i.CollisionBoxArray=xs,i.Color=ss,i.DEMData=dy,i.DataConstantProperty=At,i.DictionaryCoder=ZC,i.EXTENT=rn,i.ErrorEvent=oa,i.EvaluationParameters=pn,i.Event=jo,i.Evented=Sn,i.FeatureIndex=vy,i.FillBucket=gp,i.FillExtrusionBucket=Hp,i.ImageAtlas=gg,i.ImagePosition=If,i.LineBucket=Gf,i.LngLat=sc,i.LngLatBounds=jf,i.MercatorCoordinate=ib,i.ONE_EM=Zi,i.OverscaledTileID=Wf,i.Point=u,i.Point$1=u,i.Properties=Oi,i.Protobuf=La,i.RGBAImage=lh,i.RequestManager=Ke,i.RequestPerformance=GQ,i.ResourceType=zn,i.SegmentVector=ns,i.SourceFeatureState=Jw,i.StructArrayLayout1ui2=Jo,i.StructArrayLayout2f1f2i16=Xn,i.StructArrayLayout2i4=ji,i.StructArrayLayout3ui6=ma,i.StructArrayLayout4i8=Ln,i.SymbolBucket=au,i.Texture=rb,i.Tile=Fh,i.Transitionable=Fo,i.Uniform1f=Pt,i.Uniform1i=vt,i.Uniform2f=Wt,i.Uniform3f=rr,i.Uniform4f=dr,i.UniformColor=pr,i.UniformMatrix4f=Ar,i.UnwrappedTileID=UQ,i.ValidationError=fa,i.WritingMode=uv,i.ZoomHistory=wt,i.add=Lv,i.addDynamicAttributes=aq,i.asyncAll=k,i.bezier=x,i.bindAll=q,i.browser=nt,i.cacheEntryPossiblyAdded=bi,i.clamp=g,i.clearTileCache=Wi,i.clipLine=AQ,i.clone=T1,i.clone$1=G,i.clone$2=Mw,i.collisionCircleLayout=Tt,i.config=ct,i.create=w1,i.create$1=Rh,i.create$2=hg,i.createCommonjsModule=a,i.createExpression=eo,i.createLayout=Dn,i.createStyleLayer=AQe,i.cross=P9,i.deepEqual=h,i.dot=L9,i.dot$1=F9,i.ease=b,i.emitValidationErrors=Zu,i.endsWith=V,i.enforceCacheSizeLimit=nn,i.evaluateSizeForFeature=mQ,i.evaluateSizeForZoom=yQ,i.evaluateVariableOffset=EQ,i.evented=ya,i.extend=_,i.featureFilter=be,i.filterObject=X,i.fromRotation=rm,i.getAnchorAlignment=wS,i.getAnchorJustification=nq,i.getArrayBuffer=Zr,i.getImage=jn,i.getJSON=Fr,i.getRTLTextPluginStatus=so,i.getReferrer=It,i.getVideo=la,i.identity=oy,i.invert=im,i.isChar=tt,i.isMapboxURL=xt,i.keysDifference=L,i.makeRequest=yr,i.mapObject=H,i.mercatorXfromLng=OQ,i.mercatorYfromLat=BQ,i.mercatorZfromAltitude=NQ,i.mul=Bx,i.multiply=nm,i.mvt=pg,i.nextPowerOfTwo=T,i.normalize=Nx,i.number=Qs,i.offscreenCanvasSupported=$i,i.ortho=Yl,i.parseGlyphPBF=p0,i.pbf=La,i.performSymbolLayout=nQe,i.perspective=A1,i.pick=C,i.plugin=_s,i.polygonIntersectsPolygon=fo,i.postMapLoadEvent=Ve,i.postTurnstileEvent=Ne,i.potpack=Qv,i.refProperties=RQe,i.register=Z,i.registerForPluginStateChange=wa,i.renderColorRamp=Hx,i.rotate=ay,i.rotateX=bd,i.rotateZ=sy,i.scale=kl,i.scale$1=z9,i.scale$2=Ew,i.setCacheLimits=Ni,i.setRTLTextPlugin=io,i.sphericalToCartesian=Me,i.sqrLen=rS,i.styleSpec=on,i.sub=R9,i.symbolSize=Y$e,i.transformMat3=I9,i.transformMat4=ly,i.translate=Fu,i.triggerPluginCompletionEvent=Nn,i.uniqueId=p,i.validateCustomStyleLayer=bQe,i.validateLight=po,i.validateStyle=yo,i.values=A,i.vectorTile=pg,i.version=o,i.warnOnce=re,i.webpSupported=qt,i.window=f,i.wrap=E}),n([\"./shared\"],function(i){\"use strict\";function a(It){var ft=typeof It;if(ft===\"number\"||ft===\"boolean\"||ft===\"string\"||It===void 0||It===null)return JSON.stringify(It);if(Array.isArray(It)){for(var jt=\"[\",Zt=0,yr=It;Zt<yr.length;Zt+=1){var Fr=yr[Zt];jt+=a(Fr)+\",\"}return jt+\"]\"}for(var Zr=Object.keys(It).sort(),Vr=\"{\",gi=0;gi<Zr.length;gi++)Vr+=JSON.stringify(Zr[gi])+\":\"+a(It[Zr[gi]])+\",\";return Vr+\"}\"}function o(It){for(var ft=\"\",jt=0,Zt=i.refProperties;jt<Zt.length;jt+=1){var yr=Zt[jt];ft+=\"/\"+a(It[yr])}return ft}function s(It,ft){for(var jt={},Zt=0;Zt<It.length;Zt++){var yr=ft&&ft[It[Zt].id]||o(It[Zt]);ft&&(ft[It[Zt].id]=yr);var Fr=jt[yr];Fr||(Fr=jt[yr]=[]),Fr.push(It[Zt])}var Zr=[];for(var Vr in jt)Zr.push(jt[Vr]);return Zr}var l=function(ft){this.keyCache={},ft&&this.replace(ft)};l.prototype.replace=function(ft){this._layerConfigs={},this._layers={},this.update(ft,[])},l.prototype.update=function(ft,jt){for(var Zt=this,yr=0,Fr=ft;yr<Fr.length;yr+=1){var Zr=Fr[yr];this._layerConfigs[Zr.id]=Zr;var Vr=this._layers[Zr.id]=i.createStyleLayer(Zr);Vr._featureFilter=i.featureFilter(Vr.filter),this.keyCache[Zr.id]&&delete this.keyCache[Zr.id]}for(var gi=0,Si=jt;gi<Si.length;gi+=1){var Mi=Si[gi];delete this.keyCache[Mi],delete this._layerConfigs[Mi],delete this._layers[Mi]}this.familiesBySource={};for(var Pi=s(i.values(this._layerConfigs),this.keyCache),Gi=0,Ki=Pi;Gi<Ki.length;Gi+=1){var ka=Ki[Gi],jn=ka.map(function(Sn){return Zt._layers[Sn.id]}),la=jn[0];if(la.visibility!==\"none\"){var Fa=la.source||\"\",Ra=this.familiesBySource[Fa];Ra||(Ra=this.familiesBySource[Fa]={});var jo=la.sourceLayer||\"_geojsonTileLayer\",oa=Ra[jo];oa||(oa=Ra[jo]=[]),oa.push(jn)}}};var u=1,c=function(ft){var jt={},Zt=[];for(var yr in ft){var Fr=ft[yr],Zr=jt[yr]={};for(var Vr in Fr){var gi=Fr[+Vr];if(!(!gi||gi.bitmap.width===0||gi.bitmap.height===0)){var Si={x:0,y:0,w:gi.bitmap.width+2*u,h:gi.bitmap.height+2*u};Zt.push(Si),Zr[Vr]={rect:Si,metrics:gi.metrics}}}}var Mi=i.potpack(Zt),Pi=Mi.w,Gi=Mi.h,Ki=new i.AlphaImage({width:Pi||1,height:Gi||1});for(var ka in ft){var jn=ft[ka];for(var la in jn){var Fa=jn[+la];if(!(!Fa||Fa.bitmap.width===0||Fa.bitmap.height===0)){var Ra=jt[ka][la].rect;i.AlphaImage.copy(Fa.bitmap,Ki,{x:0,y:0},{x:Ra.x+u,y:Ra.y+u},Fa.bitmap)}}}this.image=Ki,this.positions=jt};i.register(\"GlyphAtlas\",c);var f=function(ft){this.tileID=new i.OverscaledTileID(ft.tileID.overscaledZ,ft.tileID.wrap,ft.tileID.canonical.z,ft.tileID.canonical.x,ft.tileID.canonical.y),this.uid=ft.uid,this.zoom=ft.zoom,this.pixelRatio=ft.pixelRatio,this.tileSize=ft.tileSize,this.source=ft.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=ft.showCollisionBoxes,this.collectResourceTiming=!!ft.collectResourceTiming,this.returnDependencies=!!ft.returnDependencies,this.promoteId=ft.promoteId};f.prototype.parse=function(ft,jt,Zt,yr,Fr){var Zr=this;this.status=\"parsing\",this.data=ft,this.collisionBoxArray=new i.CollisionBoxArray;var Vr=new i.DictionaryCoder(Object.keys(ft.layers).sort()),gi=new i.FeatureIndex(this.tileID,this.promoteId);gi.bucketLayerIDs=[];var Si={},Mi={featureIndex:gi,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:Zt},Pi=jt.familiesBySource[this.source];for(var Gi in Pi){var Ki=ft.layers[Gi];if(Ki){Ki.version===1&&i.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+Gi+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var ka=Vr.encode(Gi),jn=[],la=0;la<Ki.length;la++){var Fa=Ki.feature(la),Ra=gi.getId(Fa,Gi);jn.push({feature:Fa,id:Ra,index:la,sourceLayerIndex:ka})}for(var jo=0,oa=Pi[Gi];jo<oa.length;jo+=1){var Sn=oa[jo],Ha=Sn[0];if(!(Ha.minzoom&&this.zoom<Math.floor(Ha.minzoom))&&!(Ha.maxzoom&&this.zoom>=Ha.maxzoom)&&Ha.visibility!==\"none\"){h(Sn,this.zoom,Zt);var oo=Si[Ha.id]=Ha.createBucket({index:gi.bucketLayerIDs.length,layers:Sn,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:ka,sourceID:this.source});oo.populate(jn,Mi,this.tileID.canonical),gi.bucketLayerIDs.push(Sn.map(function(hi){return hi.id}))}}}}var xn,_t,br,Hr,ti=i.mapObject(Mi.glyphDependencies,function(hi){return Object.keys(hi).map(Number)});Object.keys(ti).length?yr.send(\"getGlyphs\",{uid:this.uid,stacks:ti},function(hi,Ji){xn||(xn=hi,_t=Ji,an.call(Zr))}):_t={};var zi=Object.keys(Mi.iconDependencies);zi.length?yr.send(\"getImages\",{icons:zi,source:this.source,tileID:this.tileID,type:\"icons\"},function(hi,Ji){xn||(xn=hi,br=Ji,an.call(Zr))}):br={};var Yi=Object.keys(Mi.patternDependencies);Yi.length?yr.send(\"getImages\",{icons:Yi,source:this.source,tileID:this.tileID,type:\"patterns\"},function(hi,Ji){xn||(xn=hi,Hr=Ji,an.call(Zr))}):Hr={},an.call(this);function an(){if(xn)return Fr(xn);if(_t&&br&&Hr){var hi=new c(_t),Ji=new i.ImageAtlas(br,Hr);for(var ua in Si){var Fn=Si[ua];Fn instanceof i.SymbolBucket?(h(Fn.layers,this.zoom,Zt),i.performSymbolLayout(Fn,_t,hi.positions,br,Ji.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):Fn.hasPattern&&(Fn instanceof i.LineBucket||Fn instanceof i.FillBucket||Fn instanceof i.FillExtrusionBucket)&&(h(Fn.layers,this.zoom,Zt),Fn.addFeatures(Mi,this.tileID.canonical,Ji.patternPositions))}this.status=\"done\",Fr(null,{buckets:i.values(Si).filter(function(Sa){return!Sa.isEmpty()}),featureIndex:gi,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:hi.image,imageAtlas:Ji,glyphMap:this.returnDependencies?_t:null,iconMap:this.returnDependencies?br:null,glyphPositions:this.returnDependencies?hi.positions:null})}}};function h(It,ft,jt){for(var Zt=new i.EvaluationParameters(ft),yr=0,Fr=It;yr<Fr.length;yr+=1){var Zr=Fr[yr];Zr.recalculate(Zt,jt)}}function d(It,ft){var jt=i.getArrayBuffer(It.request,function(Zt,yr,Fr,Zr){Zt?ft(Zt):yr&&ft(null,{vectorTile:new i.vectorTile.VectorTile(new i.pbf(yr)),rawData:yr,cacheControl:Fr,expires:Zr})});return function(){jt.cancel(),ft()}}var v=function(ft,jt,Zt,yr){this.actor=ft,this.layerIndex=jt,this.availableImages=Zt,this.loadVectorData=yr||d,this.loading={},this.loaded={}};v.prototype.loadTile=function(ft,jt){var Zt=this,yr=ft.uid;this.loading||(this.loading={});var Fr=ft&&ft.request&&ft.request.collectResourceTiming?new i.RequestPerformance(ft.request):!1,Zr=this.loading[yr]=new f(ft);Zr.abort=this.loadVectorData(ft,function(Vr,gi){if(delete Zt.loading[yr],Vr||!gi)return Zr.status=\"done\",Zt.loaded[yr]=Zr,jt(Vr);var Si=gi.rawData,Mi={};gi.expires&&(Mi.expires=gi.expires),gi.cacheControl&&(Mi.cacheControl=gi.cacheControl);var Pi={};if(Fr){var Gi=Fr.finish();Gi&&(Pi.resourceTiming=JSON.parse(JSON.stringify(Gi)))}Zr.vectorTile=gi.vectorTile,Zr.parse(gi.vectorTile,Zt.layerIndex,Zt.availableImages,Zt.actor,function(Ki,ka){if(Ki||!ka)return jt(Ki);jt(null,i.extend({rawTileData:Si.slice(0)},ka,Mi,Pi))}),Zt.loaded=Zt.loaded||{},Zt.loaded[yr]=Zr})},v.prototype.reloadTile=function(ft,jt){var Zt=this,yr=this.loaded,Fr=ft.uid,Zr=this;if(yr&&yr[Fr]){var Vr=yr[Fr];Vr.showCollisionBoxes=ft.showCollisionBoxes;var gi=function(Si,Mi){var Pi=Vr.reloadCallback;Pi&&(delete Vr.reloadCallback,Vr.parse(Vr.vectorTile,Zr.layerIndex,Zt.availableImages,Zr.actor,Pi)),jt(Si,Mi)};Vr.status===\"parsing\"?Vr.reloadCallback=gi:Vr.status===\"done\"&&(Vr.vectorTile?Vr.parse(Vr.vectorTile,this.layerIndex,this.availableImages,this.actor,gi):gi())}},v.prototype.abortTile=function(ft,jt){var Zt=this.loading,yr=ft.uid;Zt&&Zt[yr]&&Zt[yr].abort&&(Zt[yr].abort(),delete Zt[yr]),jt()},v.prototype.removeTile=function(ft,jt){var Zt=this.loaded,yr=ft.uid;Zt&&Zt[yr]&&delete Zt[yr],jt()};var x=i.window.ImageBitmap,b=function(){this.loaded={}};b.prototype.loadTile=function(ft,jt){var Zt=ft.uid,yr=ft.encoding,Fr=ft.rawImageData,Zr=x&&Fr instanceof x?this.getImageData(Fr):Fr,Vr=new i.DEMData(Zt,Zr,yr);this.loaded=this.loaded||{},this.loaded[Zt]=Vr,jt(null,Vr)},b.prototype.getImageData=function(ft){(!this.offscreenCanvas||!this.offscreenCanvasContext)&&(this.offscreenCanvas=new OffscreenCanvas(ft.width,ft.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=ft.width,this.offscreenCanvas.height=ft.height,this.offscreenCanvasContext.drawImage(ft,0,0,ft.width,ft.height);var jt=this.offscreenCanvasContext.getImageData(-1,-1,ft.width+2,ft.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new i.RGBAImage({width:jt.width,height:jt.height},jt.data)},b.prototype.removeTile=function(ft){var jt=this.loaded,Zt=ft.uid;jt&&jt[Zt]&&delete jt[Zt]};var g=E;function E(It,ft){var jt=It&&It.type,Zt;if(jt===\"FeatureCollection\")for(Zt=0;Zt<It.features.length;Zt++)E(It.features[Zt],ft);else if(jt===\"GeometryCollection\")for(Zt=0;Zt<It.geometries.length;Zt++)E(It.geometries[Zt],ft);else if(jt===\"Feature\")E(It.geometry,ft);else if(jt===\"Polygon\")k(It.coordinates,ft);else if(jt===\"MultiPolygon\")for(Zt=0;Zt<It.coordinates.length;Zt++)k(It.coordinates[Zt],ft);return It}function k(It,ft){if(It.length!==0){A(It[0],ft);for(var jt=1;jt<It.length;jt++)A(It[jt],!ft)}}function A(It,ft){for(var jt=0,Zt=0,yr=It.length,Fr=yr-1;Zt<yr;Fr=Zt++)jt+=(It[Zt][0]-It[Fr][0])*(It[Fr][1]+It[Zt][1]);jt>=0!=!!ft&&It.reverse()}var L=i.vectorTile.VectorTileFeature.prototype.toGeoJSON,_=function(ft){this._feature=ft,this.extent=i.EXTENT,this.type=ft.type,this.properties=ft.tags,\"id\"in ft&&!isNaN(ft.id)&&(this.id=parseInt(ft.id,10))};_.prototype.loadGeometry=function(){if(this._feature.type===1){for(var ft=[],jt=0,Zt=this._feature.geometry;jt<Zt.length;jt+=1){var yr=Zt[jt];ft.push([new i.Point$1(yr[0],yr[1])])}return ft}else{for(var Fr=[],Zr=0,Vr=this._feature.geometry;Zr<Vr.length;Zr+=1){for(var gi=Vr[Zr],Si=[],Mi=0,Pi=gi;Mi<Pi.length;Mi+=1){var Gi=Pi[Mi];Si.push(new i.Point$1(Gi[0],Gi[1]))}Fr.push(Si)}return Fr}},_.prototype.toGeoJSON=function(ft,jt,Zt){return L.call(this,ft,jt,Zt)};var C=function(ft){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.EXTENT,this.length=ft.length,this._features=ft};C.prototype.feature=function(ft){return new _(this._features[ft])};var M=i.vectorTile.VectorTileFeature,p=P;function P(It,ft){this.options=ft||{},this.features=It,this.length=It.length}P.prototype.feature=function(It){return new T(this.features[It],this.options.extent)};function T(It,ft){this.id=typeof It.id==\"number\"?It.id:void 0,this.type=It.type,this.rawGeometry=It.type===1?[It.geometry]:It.geometry,this.properties=It.tags,this.extent=ft||4096}T.prototype.loadGeometry=function(){var It=this.rawGeometry;this.geometry=[];for(var ft=0;ft<It.length;ft++){for(var jt=It[ft],Zt=[],yr=0;yr<jt.length;yr++)Zt.push(new i.Point$1(jt[yr][0],jt[yr][1]));this.geometry.push(Zt)}return this.geometry},T.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var It=this.geometry,ft=1/0,jt=-1/0,Zt=1/0,yr=-1/0,Fr=0;Fr<It.length;Fr++)for(var Zr=It[Fr],Vr=0;Vr<Zr.length;Vr++){var gi=Zr[Vr];ft=Math.min(ft,gi.x),jt=Math.max(jt,gi.x),Zt=Math.min(Zt,gi.y),yr=Math.max(yr,gi.y)}return[ft,Zt,jt,yr]},T.prototype.toGeoJSON=M.prototype.toGeoJSON;var F=X,q=X,V=G,H=p;function X(It){var ft=new i.pbf;return N(It,ft),ft.finish()}function G(It,ft){ft=ft||{};var jt={};for(var Zt in It)jt[Zt]=new p(It[Zt].features,ft),jt[Zt].name=Zt,jt[Zt].version=ft.version,jt[Zt].extent=ft.extent;return X({layers:jt})}function N(It,ft){for(var jt in It.layers)ft.writeMessage(3,W,It.layers[jt])}function W(It,ft){ft.writeVarintField(15,It.version||1),ft.writeStringField(1,It.name||\"\"),ft.writeVarintField(5,It.extent||4096);var jt,Zt={keys:[],values:[],keycache:{},valuecache:{}};for(jt=0;jt<It.length;jt++)Zt.feature=It.feature(jt),ft.writeMessage(2,re,Zt);var yr=Zt.keys;for(jt=0;jt<yr.length;jt++)ft.writeStringField(3,yr[jt]);var Fr=Zt.values;for(jt=0;jt<Fr.length;jt++)ft.writeMessage(4,ge,Fr[jt])}function re(It,ft){var jt=It.feature;jt.id!==void 0&&ft.writeVarintField(1,jt.id),ft.writeMessage(2,ae,It),ft.writeVarintField(3,jt.type),ft.writeMessage(4,ke,jt)}function ae(It,ft){var jt=It.feature,Zt=It.keys,yr=It.values,Fr=It.keycache,Zr=It.valuecache;for(var Vr in jt.properties){var gi=Fr[Vr];typeof gi==\"undefined\"&&(Zt.push(Vr),gi=Zt.length-1,Fr[Vr]=gi),ft.writeVarint(gi);var Si=jt.properties[Vr],Mi=typeof Si;Mi!==\"string\"&&Mi!==\"boolean\"&&Mi!==\"number\"&&(Si=JSON.stringify(Si));var Pi=Mi+\":\"+Si,Gi=Zr[Pi];typeof Gi==\"undefined\"&&(yr.push(Si),Gi=yr.length-1,Zr[Pi]=Gi),ft.writeVarint(Gi)}}function _e(It,ft){return(ft<<3)+(It&7)}function Me(It){return It<<1^It>>31}function ke(It,ft){for(var jt=It.loadGeometry(),Zt=It.type,yr=0,Fr=0,Zr=jt.length,Vr=0;Vr<Zr;Vr++){var gi=jt[Vr],Si=1;Zt===1&&(Si=gi.length),ft.writeVarint(_e(1,Si));for(var Mi=Zt===3?gi.length-1:gi.length,Pi=0;Pi<Mi;Pi++){Pi===1&&Zt!==1&&ft.writeVarint(_e(2,Mi-1));var Gi=gi[Pi].x-yr,Ki=gi[Pi].y-Fr;ft.writeVarint(Me(Gi)),ft.writeVarint(Me(Ki)),yr+=Gi,Fr+=Ki}Zt===3&&ft.writeVarint(_e(7,1))}}function ge(It,ft){var jt=typeof It;jt===\"string\"?ft.writeStringField(1,It):jt===\"boolean\"?ft.writeBooleanField(7,It):jt===\"number\"&&(It%1!==0?ft.writeDoubleField(3,It):It<0?ft.writeSVarintField(6,It):ft.writeVarintField(5,It))}F.fromVectorTileJs=q,F.fromGeojsonVt=V,F.GeoJSONWrapper=H;function ie(It,ft,jt,Zt,yr,Fr){if(!(yr-Zt<=jt)){var Zr=Zt+yr>>1;Te(It,ft,Zr,Zt,yr,Fr%2),ie(It,ft,jt,Zt,Zr-1,Fr+1),ie(It,ft,jt,Zr+1,yr,Fr+1)}}function Te(It,ft,jt,Zt,yr,Fr){for(;yr>Zt;){if(yr-Zt>600){var Zr=yr-Zt+1,Vr=jt-Zt+1,gi=Math.log(Zr),Si=.5*Math.exp(2*gi/3),Mi=.5*Math.sqrt(gi*Si*(Zr-Si)/Zr)*(Vr-Zr/2<0?-1:1),Pi=Math.max(Zt,Math.floor(jt-Vr*Si/Zr+Mi)),Gi=Math.min(yr,Math.floor(jt+(Zr-Vr)*Si/Zr+Mi));Te(It,ft,jt,Pi,Gi,Fr)}var Ki=ft[2*jt+Fr],ka=Zt,jn=yr;for(Ee(It,ft,Zt,jt),ft[2*yr+Fr]>Ki&&Ee(It,ft,Zt,yr);ka<jn;){for(Ee(It,ft,ka,jn),ka++,jn--;ft[2*ka+Fr]<Ki;)ka++;for(;ft[2*jn+Fr]>Ki;)jn--}ft[2*Zt+Fr]===Ki?Ee(It,ft,Zt,jn):(jn++,Ee(It,ft,jn,yr)),jn<=jt&&(Zt=jn+1),jt<=jn&&(yr=jn-1)}}function Ee(It,ft,jt,Zt){Ae(It,jt,Zt),Ae(ft,2*jt,2*Zt),Ae(ft,2*jt+1,2*Zt+1)}function Ae(It,ft,jt){var Zt=It[ft];It[ft]=It[jt],It[jt]=Zt}function ze(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=[0,It.length-1,0],gi=[],Si,Mi;Vr.length;){var Pi=Vr.pop(),Gi=Vr.pop(),Ki=Vr.pop();if(Gi-Ki<=Zr){for(var ka=Ki;ka<=Gi;ka++)Si=ft[2*ka],Mi=ft[2*ka+1],Si>=jt&&Si<=yr&&Mi>=Zt&&Mi<=Fr&&gi.push(It[ka]);continue}var jn=Math.floor((Ki+Gi)/2);Si=ft[2*jn],Mi=ft[2*jn+1],Si>=jt&&Si<=yr&&Mi>=Zt&&Mi<=Fr&&gi.push(It[jn]);var la=(Pi+1)%2;(Pi===0?jt<=Si:Zt<=Mi)&&(Vr.push(Ki),Vr.push(jn-1),Vr.push(la)),(Pi===0?yr>=Si:Fr>=Mi)&&(Vr.push(jn+1),Vr.push(Gi),Vr.push(la))}return gi}function Ce(It,ft,jt,Zt,yr,Fr){for(var Zr=[0,It.length-1,0],Vr=[],gi=yr*yr;Zr.length;){var Si=Zr.pop(),Mi=Zr.pop(),Pi=Zr.pop();if(Mi-Pi<=Fr){for(var Gi=Pi;Gi<=Mi;Gi++)me(ft[2*Gi],ft[2*Gi+1],jt,Zt)<=gi&&Vr.push(It[Gi]);continue}var Ki=Math.floor((Pi+Mi)/2),ka=ft[2*Ki],jn=ft[2*Ki+1];me(ka,jn,jt,Zt)<=gi&&Vr.push(It[Ki]);var la=(Si+1)%2;(Si===0?jt-yr<=ka:Zt-yr<=jn)&&(Zr.push(Pi),Zr.push(Ki-1),Zr.push(la)),(Si===0?jt+yr>=ka:Zt+yr>=jn)&&(Zr.push(Ki+1),Zr.push(Mi),Zr.push(la))}return Vr}function me(It,ft,jt,Zt){var yr=It-jt,Fr=ft-Zt;return yr*yr+Fr*Fr}var Re=function(It){return It[0]},ce=function(It){return It[1]},Ge=function(ft,jt,Zt,yr,Fr){jt===void 0&&(jt=Re),Zt===void 0&&(Zt=ce),yr===void 0&&(yr=64),Fr===void 0&&(Fr=Float64Array),this.nodeSize=yr,this.points=ft;for(var Zr=ft.length<65536?Uint16Array:Uint32Array,Vr=this.ids=new Zr(ft.length),gi=this.coords=new Fr(ft.length*2),Si=0;Si<ft.length;Si++)Vr[Si]=Si,gi[2*Si]=jt(ft[Si]),gi[2*Si+1]=Zt(ft[Si]);ie(Vr,gi,yr,0,Vr.length-1,0)};Ge.prototype.range=function(ft,jt,Zt,yr){return ze(this.ids,this.coords,ft,jt,Zt,yr,this.nodeSize)},Ge.prototype.within=function(ft,jt,Zt){return Ce(this.ids,this.coords,ft,jt,Zt,this.nodeSize)};var nt={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(It){return It}},ct=function(ft){this.options=er(Object.create(nt),ft),this.trees=new Array(this.options.maxZoom+1)};ct.prototype.load=function(ft){var jt=this.options,Zt=jt.log,yr=jt.minZoom,Fr=jt.maxZoom,Zr=jt.nodeSize;Zt&&console.time(\"total time\");var Vr=\"prepare \"+ft.length+\" points\";Zt&&console.time(Vr),this.points=ft;for(var gi=[],Si=0;Si<ft.length;Si++)ft[Si].geometry&&gi.push(rt(ft[Si],Si));this.trees[Fr+1]=new Ge(gi,Ke,xt,Zr,Float32Array),Zt&&console.timeEnd(Vr);for(var Mi=Fr;Mi>=yr;Mi--){var Pi=+Date.now();gi=this._cluster(gi,Mi),this.trees[Mi]=new Ge(gi,Ke,xt,Zr,Float32Array),Zt&&console.log(\"z%d: %d clusters in %dms\",Mi,gi.length,+Date.now()-Pi)}return Zt&&console.timeEnd(\"total time\"),this},ct.prototype.getClusters=function(ft,jt){var Zt=((ft[0]+180)%360+360)%360-180,yr=Math.max(-90,Math.min(90,ft[1])),Fr=ft[2]===180?180:((ft[2]+180)%360+360)%360-180,Zr=Math.max(-90,Math.min(90,ft[3]));if(ft[2]-ft[0]>=360)Zt=-180,Fr=180;else if(Zt>Fr){var Vr=this.getClusters([Zt,yr,180,Zr],jt),gi=this.getClusters([-180,yr,Fr,Zr],jt);return Vr.concat(gi)}for(var Si=this.trees[this._limitZoom(jt)],Mi=Si.range(kt(Zt),Ct(Zr),kt(Fr),Ct(yr)),Pi=[],Gi=0,Ki=Mi;Gi<Ki.length;Gi+=1){var ka=Ki[Gi],jn=Si.points[ka];Pi.push(jn.numPoints?ot(jn):this.points[jn.index])}return Pi},ct.prototype.getChildren=function(ft){var jt=this._getOriginId(ft),Zt=this._getOriginZoom(ft),yr=\"No cluster with the specified id.\",Fr=this.trees[Zt];if(!Fr)throw new Error(yr);var Zr=Fr.points[jt];if(!Zr)throw new Error(yr);for(var Vr=this.options.radius/(this.options.extent*Math.pow(2,Zt-1)),gi=Fr.within(Zr.x,Zr.y,Vr),Si=[],Mi=0,Pi=gi;Mi<Pi.length;Mi+=1){var Gi=Pi[Mi],Ki=Fr.points[Gi];Ki.parentId===ft&&Si.push(Ki.numPoints?ot(Ki):this.points[Ki.index])}if(Si.length===0)throw new Error(yr);return Si},ct.prototype.getLeaves=function(ft,jt,Zt){jt=jt||10,Zt=Zt||0;var yr=[];return this._appendLeaves(yr,ft,jt,Zt,0),yr},ct.prototype.getTile=function(ft,jt,Zt){var yr=this.trees[this._limitZoom(ft)],Fr=Math.pow(2,ft),Zr=this.options,Vr=Zr.extent,gi=Zr.radius,Si=gi/Vr,Mi=(Zt-Si)/Fr,Pi=(Zt+1+Si)/Fr,Gi={features:[]};return this._addTileFeatures(yr.range((jt-Si)/Fr,Mi,(jt+1+Si)/Fr,Pi),yr.points,jt,Zt,Fr,Gi),jt===0&&this._addTileFeatures(yr.range(1-Si/Fr,Mi,1,Pi),yr.points,Fr,Zt,Fr,Gi),jt===Fr-1&&this._addTileFeatures(yr.range(0,Mi,Si/Fr,Pi),yr.points,-1,Zt,Fr,Gi),Gi.features.length?Gi:null},ct.prototype.getClusterExpansionZoom=function(ft){for(var jt=this._getOriginZoom(ft)-1;jt<=this.options.maxZoom;){var Zt=this.getChildren(ft);if(jt++,Zt.length!==1)break;ft=Zt[0].properties.cluster_id}return jt},ct.prototype._appendLeaves=function(ft,jt,Zt,yr,Fr){for(var Zr=this.getChildren(jt),Vr=0,gi=Zr;Vr<gi.length;Vr+=1){var Si=gi[Vr],Mi=Si.properties;if(Mi&&Mi.cluster?Fr+Mi.point_count<=yr?Fr+=Mi.point_count:Fr=this._appendLeaves(ft,Mi.cluster_id,Zt,yr,Fr):Fr<yr?Fr++:ft.push(Si),ft.length===Zt)break}return Fr},ct.prototype._addTileFeatures=function(ft,jt,Zt,yr,Fr,Zr){for(var Vr=0,gi=ft;Vr<gi.length;Vr+=1){var Si=gi[Vr],Mi=jt[Si],Pi=Mi.numPoints,Gi={type:1,geometry:[[Math.round(this.options.extent*(Mi.x*Fr-Zt)),Math.round(this.options.extent*(Mi.y*Fr-yr))]],tags:Pi?Rt(Mi):this.points[Mi.index].properties},Ki=void 0;Pi?Ki=Mi.id:this.options.generateId?Ki=Mi.index:this.points[Mi.index].id&&(Ki=this.points[Mi.index].id),Ki!==void 0&&(Gi.id=Ki),Zr.features.push(Gi)}},ct.prototype._limitZoom=function(ft){return Math.max(this.options.minZoom,Math.min(+ft,this.options.maxZoom+1))},ct.prototype._cluster=function(ft,jt){for(var Zt=[],yr=this.options,Fr=yr.radius,Zr=yr.extent,Vr=yr.reduce,gi=yr.minPoints,Si=Fr/(Zr*Math.pow(2,jt)),Mi=0;Mi<ft.length;Mi++){var Pi=ft[Mi];if(!(Pi.zoom<=jt)){Pi.zoom=jt;for(var Gi=this.trees[jt+1],Ki=Gi.within(Pi.x,Pi.y,Si),ka=Pi.numPoints||1,jn=ka,la=0,Fa=Ki;la<Fa.length;la+=1){var Ra=Fa[la],jo=Gi.points[Ra];jo.zoom>jt&&(jn+=jo.numPoints||1)}if(jn>=gi){for(var oa=Pi.x*ka,Sn=Pi.y*ka,Ha=Vr&&ka>1?this._map(Pi,!0):null,oo=(Mi<<5)+(jt+1)+this.points.length,xn=0,_t=Ki;xn<_t.length;xn+=1){var br=_t[xn],Hr=Gi.points[br];if(!(Hr.zoom<=jt)){Hr.zoom=jt;var ti=Hr.numPoints||1;oa+=Hr.x*ti,Sn+=Hr.y*ti,Hr.parentId=oo,Vr&&(Ha||(Ha=this._map(Pi,!0)),Vr(Ha,this._map(Hr)))}}Pi.parentId=oo,Zt.push(qt(oa/jn,Sn/jn,oo,jn,Ha))}else if(Zt.push(Pi),jn>1)for(var zi=0,Yi=Ki;zi<Yi.length;zi+=1){var an=Yi[zi],hi=Gi.points[an];hi.zoom<=jt||(hi.zoom=jt,Zt.push(hi))}}}return Zt},ct.prototype._getOriginId=function(ft){return ft-this.points.length>>5},ct.prototype._getOriginZoom=function(ft){return(ft-this.points.length)%32},ct.prototype._map=function(ft,jt){if(ft.numPoints)return jt?er({},ft.properties):ft.properties;var Zt=this.points[ft.index].properties,yr=this.options.map(Zt);return jt&&yr===Zt?er({},yr):yr};function qt(It,ft,jt,Zt,yr){return{x:It,y:ft,zoom:1/0,id:jt,parentId:-1,numPoints:Zt,properties:yr}}function rt(It,ft){var jt=It.geometry.coordinates,Zt=jt[0],yr=jt[1];return{x:kt(Zt),y:Ct(yr),zoom:1/0,index:ft,parentId:-1}}function ot(It){return{type:\"Feature\",id:It.id,properties:Rt(It),geometry:{type:\"Point\",coordinates:[Yt(It.x),xr(It.y)]}}}function Rt(It){var ft=It.numPoints,jt=ft>=1e4?Math.round(ft/1e3)+\"k\":ft>=1e3?Math.round(ft/100)/10+\"k\":ft;return er(er({},It.properties),{cluster:!0,cluster_id:It.id,point_count:ft,point_count_abbreviated:jt})}function kt(It){return It/360+.5}function Ct(It){var ft=Math.sin(It*Math.PI/180),jt=.5-.25*Math.log((1+ft)/(1-ft))/Math.PI;return jt<0?0:jt>1?1:jt}function Yt(It){return(It-.5)*360}function xr(It){var ft=(180-It*360)*Math.PI/180;return 360*Math.atan(Math.exp(ft))/Math.PI-90}function er(It,ft){for(var jt in ft)It[jt]=ft[jt];return It}function Ke(It){return It.x}function xt(It){return It.y}function bt(It,ft,jt,Zt){for(var yr=Zt,Fr=jt-ft>>1,Zr=jt-ft,Vr,gi=It[ft],Si=It[ft+1],Mi=It[jt],Pi=It[jt+1],Gi=ft+3;Gi<jt;Gi+=3){var Ki=Lt(It[Gi],It[Gi+1],gi,Si,Mi,Pi);if(Ki>yr)Vr=Gi,yr=Ki;else if(Ki===yr){var ka=Math.abs(Gi-Fr);ka<Zr&&(Vr=Gi,Zr=ka)}}yr>Zt&&(Vr-ft>3&&bt(It,ft,Vr,Zt),It[Vr+2]=yr,jt-Vr>3&&bt(It,Vr,jt,Zt))}function Lt(It,ft,jt,Zt,yr,Fr){var Zr=yr-jt,Vr=Fr-Zt;if(Zr!==0||Vr!==0){var gi=((It-jt)*Zr+(ft-Zt)*Vr)/(Zr*Zr+Vr*Vr);gi>1?(jt=yr,Zt=Fr):gi>0&&(jt+=Zr*gi,Zt+=Vr*gi)}return Zr=It-jt,Vr=ft-Zt,Zr*Zr+Vr*Vr}function St(It,ft,jt,Zt){var yr={id:typeof It==\"undefined\"?null:It,type:ft,geometry:jt,tags:Zt,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return Et(yr),yr}function Et(It){var ft=It.geometry,jt=It.type;if(jt===\"Point\"||jt===\"MultiPoint\"||jt===\"LineString\")dt(It,ft);else if(jt===\"Polygon\"||jt===\"MultiLineString\")for(var Zt=0;Zt<ft.length;Zt++)dt(It,ft[Zt]);else if(jt===\"MultiPolygon\")for(Zt=0;Zt<ft.length;Zt++)for(var yr=0;yr<ft[Zt].length;yr++)dt(It,ft[Zt][yr])}function dt(It,ft){for(var jt=0;jt<ft.length;jt+=3)It.minX=Math.min(It.minX,ft[jt]),It.minY=Math.min(It.minY,ft[jt+1]),It.maxX=Math.max(It.maxX,ft[jt]),It.maxY=Math.max(It.maxY,ft[jt+1])}function Ht(It,ft){var jt=[];if(It.type===\"FeatureCollection\")for(var Zt=0;Zt<It.features.length;Zt++)$t(jt,It.features[Zt],ft,Zt);else It.type===\"Feature\"?$t(jt,It,ft):$t(jt,{geometry:It},ft);return jt}function $t(It,ft,jt,Zt){if(ft.geometry){var yr=ft.geometry.coordinates,Fr=ft.geometry.type,Zr=Math.pow(jt.tolerance/((1<<jt.maxZoom)*jt.extent),2),Vr=[],gi=ft.id;if(jt.promoteId?gi=ft.properties[jt.promoteId]:jt.generateId&&(gi=Zt||0),Fr===\"Point\")fr(yr,Vr);else if(Fr===\"MultiPoint\")for(var Si=0;Si<yr.length;Si++)fr(yr[Si],Vr);else if(Fr===\"LineString\")_r(yr,Vr,Zr,!1);else if(Fr===\"MultiLineString\")if(jt.lineMetrics){for(Si=0;Si<yr.length;Si++)Vr=[],_r(yr[Si],Vr,Zr,!1),It.push(St(gi,\"LineString\",Vr,ft.properties));return}else Br(yr,Vr,Zr,!1);else if(Fr===\"Polygon\")Br(yr,Vr,Zr,!0);else if(Fr===\"MultiPolygon\")for(Si=0;Si<yr.length;Si++){var Mi=[];Br(yr[Si],Mi,Zr,!0),Vr.push(Mi)}else if(Fr===\"GeometryCollection\"){for(Si=0;Si<ft.geometry.geometries.length;Si++)$t(It,{id:gi,geometry:ft.geometry.geometries[Si],properties:ft.properties},jt,Zt);return}else throw new Error(\"Input data is not a valid GeoJSON object.\");It.push(St(gi,Fr,Vr,ft.properties))}}function fr(It,ft){ft.push(Or(It[0])),ft.push(Nr(It[1])),ft.push(0)}function _r(It,ft,jt,Zt){for(var yr,Fr,Zr=0,Vr=0;Vr<It.length;Vr++){var gi=Or(It[Vr][0]),Si=Nr(It[Vr][1]);ft.push(gi),ft.push(Si),ft.push(0),Vr>0&&(Zt?Zr+=(yr*Si-gi*Fr)/2:Zr+=Math.sqrt(Math.pow(gi-yr,2)+Math.pow(Si-Fr,2))),yr=gi,Fr=Si}var Mi=ft.length-3;ft[2]=1,bt(ft,0,Mi,jt),ft[Mi+2]=1,ft.size=Math.abs(Zr),ft.start=0,ft.end=ft.size}function Br(It,ft,jt,Zt){for(var yr=0;yr<It.length;yr++){var Fr=[];_r(It[yr],Fr,jt,Zt),ft.push(Fr)}}function Or(It){return It/360+.5}function Nr(It){var ft=Math.sin(It*Math.PI/180),jt=.5-.25*Math.log((1+ft)/(1-ft))/Math.PI;return jt<0?0:jt>1?1:jt}function ut(It,ft,jt,Zt,yr,Fr,Zr,Vr){if(jt/=ft,Zt/=ft,Fr>=jt&&Zr<Zt)return It;if(Zr<jt||Fr>=Zt)return null;for(var gi=[],Si=0;Si<It.length;Si++){var Mi=It[Si],Pi=Mi.geometry,Gi=Mi.type,Ki=yr===0?Mi.minX:Mi.minY,ka=yr===0?Mi.maxX:Mi.maxY;if(Ki>=jt&&ka<Zt){gi.push(Mi);continue}else if(ka<jt||Ki>=Zt)continue;var jn=[];if(Gi===\"Point\"||Gi===\"MultiPoint\")Ne(Pi,jn,jt,Zt,yr);else if(Gi===\"LineString\")Ye(Pi,jn,jt,Zt,yr,!1,Vr.lineMetrics);else if(Gi===\"MultiLineString\")Xe(Pi,jn,jt,Zt,yr,!1);else if(Gi===\"Polygon\")Xe(Pi,jn,jt,Zt,yr,!0);else if(Gi===\"MultiPolygon\")for(var la=0;la<Pi.length;la++){var Fa=[];Xe(Pi[la],Fa,jt,Zt,yr,!0),Fa.length&&jn.push(Fa)}if(jn.length){if(Vr.lineMetrics&&Gi===\"LineString\"){for(la=0;la<jn.length;la++)gi.push(St(Mi.id,Gi,jn[la],Mi.tags));continue}(Gi===\"LineString\"||Gi===\"MultiLineString\")&&(jn.length===1?(Gi=\"LineString\",jn=jn[0]):Gi=\"MultiLineString\"),(Gi===\"Point\"||Gi===\"MultiPoint\")&&(Gi=jn.length===3?\"Point\":\"MultiPoint\"),gi.push(St(Mi.id,Gi,jn,Mi.tags))}}return gi.length?gi:null}function Ne(It,ft,jt,Zt,yr){for(var Fr=0;Fr<It.length;Fr+=3){var Zr=It[Fr+yr];Zr>=jt&&Zr<=Zt&&(ft.push(It[Fr]),ft.push(It[Fr+1]),ft.push(It[Fr+2]))}}function Ye(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=Ve(It),gi=yr===0?Le:xe,Si=It.start,Mi,Pi,Gi=0;Gi<It.length-3;Gi+=3){var Ki=It[Gi],ka=It[Gi+1],jn=It[Gi+2],la=It[Gi+3],Fa=It[Gi+4],Ra=yr===0?Ki:ka,jo=yr===0?la:Fa,oa=!1;Zr&&(Mi=Math.sqrt(Math.pow(Ki-la,2)+Math.pow(ka-Fa,2))),Ra<jt?jo>jt&&(Pi=gi(Vr,Ki,ka,la,Fa,jt),Zr&&(Vr.start=Si+Mi*Pi)):Ra>Zt?jo<Zt&&(Pi=gi(Vr,Ki,ka,la,Fa,Zt),Zr&&(Vr.start=Si+Mi*Pi)):ht(Vr,Ki,ka,jn),jo<jt&&Ra>=jt&&(Pi=gi(Vr,Ki,ka,la,Fa,jt),oa=!0),jo>Zt&&Ra<=Zt&&(Pi=gi(Vr,Ki,ka,la,Fa,Zt),oa=!0),!Fr&&oa&&(Zr&&(Vr.end=Si+Mi*Pi),ft.push(Vr),Vr=Ve(It)),Zr&&(Si+=Mi)}var Sn=It.length-3;Ki=It[Sn],ka=It[Sn+1],jn=It[Sn+2],Ra=yr===0?Ki:ka,Ra>=jt&&Ra<=Zt&&ht(Vr,Ki,ka,jn),Sn=Vr.length-3,Fr&&Sn>=3&&(Vr[Sn]!==Vr[0]||Vr[Sn+1]!==Vr[1])&&ht(Vr,Vr[0],Vr[1],Vr[2]),Vr.length&&ft.push(Vr)}function Ve(It){var ft=[];return ft.size=It.size,ft.start=It.start,ft.end=It.end,ft}function Xe(It,ft,jt,Zt,yr,Fr){for(var Zr=0;Zr<It.length;Zr++)Ye(It[Zr],ft,jt,Zt,yr,Fr,!1)}function ht(It,ft,jt,Zt){It.push(ft),It.push(jt),It.push(Zt)}function Le(It,ft,jt,Zt,yr,Fr){var Zr=(Fr-ft)/(Zt-ft);return It.push(Fr),It.push(jt+(yr-jt)*Zr),It.push(1),Zr}function xe(It,ft,jt,Zt,yr,Fr){var Zr=(Fr-jt)/(yr-jt);return It.push(ft+(Zt-ft)*Zr),It.push(Fr),It.push(1),Zr}function Se(It,ft){var jt=ft.buffer/ft.extent,Zt=It,yr=ut(It,1,-1-jt,jt,0,-1,2,ft),Fr=ut(It,1,1-jt,2+jt,0,-1,2,ft);return(yr||Fr)&&(Zt=ut(It,1,-jt,1+jt,0,-1,2,ft)||[],yr&&(Zt=lt(yr,1).concat(Zt)),Fr&&(Zt=Zt.concat(lt(Fr,-1)))),Zt}function lt(It,ft){for(var jt=[],Zt=0;Zt<It.length;Zt++){var yr=It[Zt],Fr=yr.type,Zr;if(Fr===\"Point\"||Fr===\"MultiPoint\"||Fr===\"LineString\")Zr=Gt(yr.geometry,ft);else if(Fr===\"MultiLineString\"||Fr===\"Polygon\"){Zr=[];for(var Vr=0;Vr<yr.geometry.length;Vr++)Zr.push(Gt(yr.geometry[Vr],ft))}else if(Fr===\"MultiPolygon\")for(Zr=[],Vr=0;Vr<yr.geometry.length;Vr++){for(var gi=[],Si=0;Si<yr.geometry[Vr].length;Si++)gi.push(Gt(yr.geometry[Vr][Si],ft));Zr.push(gi)}jt.push(St(yr.id,Fr,Zr,yr.tags))}return jt}function Gt(It,ft){var jt=[];jt.size=It.size,It.start!==void 0&&(jt.start=It.start,jt.end=It.end);for(var Zt=0;Zt<It.length;Zt+=3)jt.push(It[Zt]+ft,It[Zt+1],It[Zt+2]);return jt}function Vt(It,ft){if(It.transformed)return It;var jt=1<<It.z,Zt=It.x,yr=It.y,Fr,Zr,Vr;for(Fr=0;Fr<It.features.length;Fr++){var gi=It.features[Fr],Si=gi.geometry,Mi=gi.type;if(gi.geometry=[],Mi===1)for(Zr=0;Zr<Si.length;Zr+=2)gi.geometry.push(ar(Si[Zr],Si[Zr+1],ft,jt,Zt,yr));else for(Zr=0;Zr<Si.length;Zr++){var Pi=[];for(Vr=0;Vr<Si[Zr].length;Vr+=2)Pi.push(ar(Si[Zr][Vr],Si[Zr][Vr+1],ft,jt,Zt,yr));gi.geometry.push(Pi)}}return It.transformed=!0,It}function ar(It,ft,jt,Zt,yr,Fr){return[Math.round(jt*(It*Zt-yr)),Math.round(jt*(ft*Zt-Fr))]}function Qr(It,ft,jt,Zt,yr){for(var Fr=ft===yr.maxZoom?0:yr.tolerance/((1<<ft)*yr.extent),Zr={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:jt,y:Zt,z:ft,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},Vr=0;Vr<It.length;Vr++){Zr.numFeatures++,ai(Zr,It[Vr],Fr,yr);var gi=It[Vr].minX,Si=It[Vr].minY,Mi=It[Vr].maxX,Pi=It[Vr].maxY;gi<Zr.minX&&(Zr.minX=gi),Si<Zr.minY&&(Zr.minY=Si),Mi>Zr.maxX&&(Zr.maxX=Mi),Pi>Zr.maxY&&(Zr.maxY=Pi)}return Zr}function ai(It,ft,jt,Zt){var yr=ft.geometry,Fr=ft.type,Zr=[];if(Fr===\"Point\"||Fr===\"MultiPoint\")for(var Vr=0;Vr<yr.length;Vr+=3)Zr.push(yr[Vr]),Zr.push(yr[Vr+1]),It.numPoints++,It.numSimplified++;else if(Fr===\"LineString\")jr(Zr,yr,It,jt,!1,!1);else if(Fr===\"MultiLineString\"||Fr===\"Polygon\")for(Vr=0;Vr<yr.length;Vr++)jr(Zr,yr[Vr],It,jt,Fr===\"Polygon\",Vr===0);else if(Fr===\"MultiPolygon\")for(var gi=0;gi<yr.length;gi++){var Si=yr[gi];for(Vr=0;Vr<Si.length;Vr++)jr(Zr,Si[Vr],It,jt,!0,Vr===0)}if(Zr.length){var Mi=ft.tags||null;if(Fr===\"LineString\"&&Zt.lineMetrics){Mi={};for(var Pi in ft.tags)Mi[Pi]=ft.tags[Pi];Mi.mapbox_clip_start=yr.start/yr.size,Mi.mapbox_clip_end=yr.end/yr.size}var Gi={geometry:Zr,type:Fr===\"Polygon\"||Fr===\"MultiPolygon\"?3:Fr===\"LineString\"||Fr===\"MultiLineString\"?2:1,tags:Mi};ft.id!==null&&(Gi.id=ft.id),It.features.push(Gi)}}function jr(It,ft,jt,Zt,yr,Fr){var Zr=Zt*Zt;if(Zt>0&&ft.size<(yr?Zr:Zt)){jt.numPoints+=ft.length/3;return}for(var Vr=[],gi=0;gi<ft.length;gi+=3)(Zt===0||ft[gi+2]>Zr)&&(jt.numSimplified++,Vr.push(ft[gi]),Vr.push(ft[gi+1])),jt.numPoints++;yr&&ri(Vr,Fr),It.push(Vr)}function ri(It,ft){for(var jt=0,Zt=0,yr=It.length,Fr=yr-2;Zt<yr;Fr=Zt,Zt+=2)jt+=(It[Zt]-It[Fr])*(It[Zt+1]+It[Fr+1]);if(jt>0===ft)for(Zt=0,yr=It.length;Zt<yr/2;Zt+=2){var Zr=It[Zt],Vr=It[Zt+1];It[Zt]=It[yr-2-Zt],It[Zt+1]=It[yr-1-Zt],It[yr-2-Zt]=Zr,It[yr-1-Zt]=Vr}}function bi(It,ft){return new nn(It,ft)}function nn(It,ft){ft=this.options=Ni(Object.create(this.options),ft);var jt=ft.debug;if(jt&&console.time(\"preprocess data\"),ft.maxZoom<0||ft.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(ft.promoteId&&ft.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var Zt=Ht(It,ft);this.tiles={},this.tileCoords=[],jt&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",ft.indexMaxZoom,ft.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),Zt=Se(Zt,ft),Zt.length&&this.splitTile(Zt,0,0,0),jt&&(Zt.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}nn.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},nn.prototype.splitTile=function(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=[It,ft,jt,Zt],gi=this.options,Si=gi.debug;Vr.length;){Zt=Vr.pop(),jt=Vr.pop(),ft=Vr.pop(),It=Vr.pop();var Mi=1<<ft,Pi=Wi(ft,jt,Zt),Gi=this.tiles[Pi];if(!Gi&&(Si>1&&console.time(\"creation\"),Gi=this.tiles[Pi]=Qr(It,ft,jt,Zt,gi),this.tileCoords.push({z:ft,x:jt,y:Zt}),Si)){Si>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",ft,jt,Zt,Gi.numFeatures,Gi.numPoints,Gi.numSimplified),console.timeEnd(\"creation\"));var Ki=\"z\"+ft;this.stats[Ki]=(this.stats[Ki]||0)+1,this.total++}if(Gi.source=It,yr){if(ft===gi.maxZoom||ft===yr)continue;var ka=1<<yr-ft;if(jt!==Math.floor(Fr/ka)||Zt!==Math.floor(Zr/ka))continue}else if(ft===gi.indexMaxZoom||Gi.numPoints<=gi.indexMaxPoints)continue;if(Gi.source=null,It.length!==0){Si>1&&console.time(\"clipping\");var jn=.5*gi.buffer/gi.extent,la=.5-jn,Fa=.5+jn,Ra=1+jn,jo,oa,Sn,Ha,oo,xn;jo=oa=Sn=Ha=null,oo=ut(It,Mi,jt-jn,jt+Fa,0,Gi.minX,Gi.maxX,gi),xn=ut(It,Mi,jt+la,jt+Ra,0,Gi.minX,Gi.maxX,gi),It=null,oo&&(jo=ut(oo,Mi,Zt-jn,Zt+Fa,1,Gi.minY,Gi.maxY,gi),oa=ut(oo,Mi,Zt+la,Zt+Ra,1,Gi.minY,Gi.maxY,gi),oo=null),xn&&(Sn=ut(xn,Mi,Zt-jn,Zt+Fa,1,Gi.minY,Gi.maxY,gi),Ha=ut(xn,Mi,Zt+la,Zt+Ra,1,Gi.minY,Gi.maxY,gi),xn=null),Si>1&&console.timeEnd(\"clipping\"),Vr.push(jo||[],ft+1,jt*2,Zt*2),Vr.push(oa||[],ft+1,jt*2,Zt*2+1),Vr.push(Sn||[],ft+1,jt*2+1,Zt*2),Vr.push(Ha||[],ft+1,jt*2+1,Zt*2+1)}}},nn.prototype.getTile=function(It,ft,jt){var Zt=this.options,yr=Zt.extent,Fr=Zt.debug;if(It<0||It>24)return null;var Zr=1<<It;ft=(ft%Zr+Zr)%Zr;var Vr=Wi(It,ft,jt);if(this.tiles[Vr])return Vt(this.tiles[Vr],yr);Fr>1&&console.log(\"drilling down to z%d-%d-%d\",It,ft,jt);for(var gi=It,Si=ft,Mi=jt,Pi;!Pi&&gi>0;)gi--,Si=Math.floor(Si/2),Mi=Math.floor(Mi/2),Pi=this.tiles[Wi(gi,Si,Mi)];return!Pi||!Pi.source?null:(Fr>1&&console.log(\"found parent tile z%d-%d-%d\",gi,Si,Mi),Fr>1&&console.time(\"drilling down\"),this.splitTile(Pi.source,gi,Si,Mi,It,ft,jt),Fr>1&&console.timeEnd(\"drilling down\"),this.tiles[Vr]?Vt(this.tiles[Vr],yr):null)};function Wi(It,ft,jt){return((1<<It)*jt+ft)*32+It}function Ni(It,ft){for(var jt in ft)It[jt]=ft[jt];return It}function _n(It,ft){var jt=It.tileID.canonical;if(!this._geoJSONIndex)return ft(null,null);var Zt=this._geoJSONIndex.getTile(jt.z,jt.x,jt.y);if(!Zt)return ft(null,null);var yr=new C(Zt.features),Fr=F(yr);(Fr.byteOffset!==0||Fr.byteLength!==Fr.buffer.byteLength)&&(Fr=new Uint8Array(Fr)),ft(null,{vectorTile:yr,rawData:Fr.buffer})}var $i=function(It){function ft(jt,Zt,yr,Fr){It.call(this,jt,Zt,yr,_n),Fr&&(this.loadGeoJSON=Fr)}return It&&(ft.__proto__=It),ft.prototype=Object.create(It&&It.prototype),ft.prototype.constructor=ft,ft.prototype.loadData=function(Zt,yr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=yr,this._pendingLoadDataParams=Zt,this._state&&this._state!==\"Idle\"?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},ft.prototype._loadData=function(){var Zt=this;if(!(!this._pendingCallback||!this._pendingLoadDataParams)){var yr=this._pendingCallback,Fr=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var Zr=Fr&&Fr.request&&Fr.request.collectResourceTiming?new i.RequestPerformance(Fr.request):!1;this.loadGeoJSON(Fr,function(Vr,gi){if(Vr||!gi)return yr(Vr);if(typeof gi!=\"object\")return yr(new Error(\"Input data given to '\"+Fr.source+\"' is not a valid GeoJSON object.\"));g(gi,!0);try{if(Fr.filter){var Si=i.createExpression(Fr.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Si.result===\"error\")throw new Error(Si.value.map(function(Ki){return Ki.key+\": \"+Ki.message}).join(\", \"));var Mi=gi.features.filter(function(Ki){return Si.value.evaluate({zoom:0},Ki)});gi={type:\"FeatureCollection\",features:Mi}}Zt._geoJSONIndex=Fr.cluster?new ct(zn(Fr)).load(gi.features):bi(gi,Fr.geojsonVtOptions)}catch(Ki){return yr(Ki)}Zt.loaded={};var Pi={};if(Zr){var Gi=Zr.finish();Gi&&(Pi.resourceTiming={},Pi.resourceTiming[Fr.source]=JSON.parse(JSON.stringify(Gi)))}yr(null,Pi)})}},ft.prototype.coalesce=function(){this._state===\"Coalescing\"?this._state=\"Idle\":this._state===\"NeedsLoadData\"&&(this._state=\"Coalescing\",this._loadData())},ft.prototype.reloadTile=function(Zt,yr){var Fr=this.loaded,Zr=Zt.uid;return Fr&&Fr[Zr]?It.prototype.reloadTile.call(this,Zt,yr):this.loadTile(Zt,yr)},ft.prototype.loadGeoJSON=function(Zt,yr){if(Zt.request)i.getJSON(Zt.request,yr);else if(typeof Zt.data==\"string\")try{return yr(null,JSON.parse(Zt.data))}catch(Fr){return yr(new Error(\"Input data given to '\"+Zt.source+\"' is not a valid GeoJSON object.\"))}else return yr(new Error(\"Input data given to '\"+Zt.source+\"' is not a valid GeoJSON object.\"))},ft.prototype.removeSource=function(Zt,yr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),yr()},ft.prototype.getClusterExpansionZoom=function(Zt,yr){try{yr(null,this._geoJSONIndex.getClusterExpansionZoom(Zt.clusterId))}catch(Fr){yr(Fr)}},ft.prototype.getClusterChildren=function(Zt,yr){try{yr(null,this._geoJSONIndex.getChildren(Zt.clusterId))}catch(Fr){yr(Fr)}},ft.prototype.getClusterLeaves=function(Zt,yr){try{yr(null,this._geoJSONIndex.getLeaves(Zt.clusterId,Zt.limit,Zt.offset))}catch(Fr){yr(Fr)}},ft}(v);function zn(It){var ft=It.superclusterOptions,jt=It.clusterProperties;if(!jt||!ft)return ft;for(var Zt={},yr={},Fr={accumulated:null,zoom:0},Zr={properties:null},Vr=Object.keys(jt),gi=0,Si=Vr;gi<Si.length;gi+=1){var Mi=Si[gi],Pi=jt[Mi],Gi=Pi[0],Ki=Pi[1],ka=i.createExpression(Ki),jn=i.createExpression(typeof Gi==\"string\"?[Gi,[\"accumulated\"],[\"get\",Mi]]:Gi);Zt[Mi]=ka.value,yr[Mi]=jn.value}return ft.map=function(la){Zr.properties=la;for(var Fa={},Ra=0,jo=Vr;Ra<jo.length;Ra+=1){var oa=jo[Ra];Fa[oa]=Zt[oa].evaluate(Fr,Zr)}return Fa},ft.reduce=function(la,Fa){Zr.properties=Fa;for(var Ra=0,jo=Vr;Ra<jo.length;Ra+=1){var oa=jo[Ra];Fr.accumulated=la[oa],la[oa]=yr[oa].evaluate(Fr,Zr)}},ft}var Wn=function(ft){var jt=this;this.self=ft,this.actor=new i.Actor(ft,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:v,geojson:$i},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(Zt,yr){if(jt.workerSourceTypes[Zt])throw new Error('Worker source with name \"'+Zt+'\" already registered.');jt.workerSourceTypes[Zt]=yr},this.self.registerRTLTextPlugin=function(Zt){if(i.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");i.plugin.applyArabicShaping=Zt.applyArabicShaping,i.plugin.processBidirectionalText=Zt.processBidirectionalText,i.plugin.processStyledBidirectionalText=Zt.processStyledBidirectionalText}};return Wn.prototype.setReferrer=function(ft,jt){this.referrer=jt},Wn.prototype.setImages=function(ft,jt,Zt){this.availableImages[ft]=jt;for(var yr in this.workerSources[ft]){var Fr=this.workerSources[ft][yr];for(var Zr in Fr)Fr[Zr].availableImages=jt}Zt()},Wn.prototype.setLayers=function(ft,jt,Zt){this.getLayerIndex(ft).replace(jt),Zt()},Wn.prototype.updateLayers=function(ft,jt,Zt){this.getLayerIndex(ft).update(jt.layers,jt.removedIds),Zt()},Wn.prototype.loadTile=function(ft,jt,Zt){this.getWorkerSource(ft,jt.type,jt.source).loadTile(jt,Zt)},Wn.prototype.loadDEMTile=function(ft,jt,Zt){this.getDEMWorkerSource(ft,jt.source).loadTile(jt,Zt)},Wn.prototype.reloadTile=function(ft,jt,Zt){this.getWorkerSource(ft,jt.type,jt.source).reloadTile(jt,Zt)},Wn.prototype.abortTile=function(ft,jt,Zt){this.getWorkerSource(ft,jt.type,jt.source).abortTile(jt,Zt)},Wn.prototype.removeTile=function(ft,jt,Zt){this.getWorkerSource(ft,jt.type,jt.source).removeTile(jt,Zt)},Wn.prototype.removeDEMTile=function(ft,jt){this.getDEMWorkerSource(ft,jt.source).removeTile(jt)},Wn.prototype.removeSource=function(ft,jt,Zt){if(!(!this.workerSources[ft]||!this.workerSources[ft][jt.type]||!this.workerSources[ft][jt.type][jt.source])){var yr=this.workerSources[ft][jt.type][jt.source];delete this.workerSources[ft][jt.type][jt.source],yr.removeSource!==void 0?yr.removeSource(jt,Zt):Zt()}},Wn.prototype.loadWorkerSource=function(ft,jt,Zt){try{this.self.importScripts(jt.url),Zt()}catch(yr){Zt(yr.toString())}},Wn.prototype.syncRTLPluginState=function(ft,jt,Zt){try{i.plugin.setState(jt);var yr=i.plugin.getPluginURL();if(i.plugin.isLoaded()&&!i.plugin.isParsed()&&yr!=null){this.self.importScripts(yr);var Fr=i.plugin.isParsed(),Zr=Fr?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+yr);Zt(Zr,Fr)}}catch(Vr){Zt(Vr.toString())}},Wn.prototype.getAvailableImages=function(ft){var jt=this.availableImages[ft];return jt||(jt=[]),jt},Wn.prototype.getLayerIndex=function(ft){var jt=this.layerIndexes[ft];return jt||(jt=this.layerIndexes[ft]=new l),jt},Wn.prototype.getWorkerSource=function(ft,jt,Zt){var yr=this;if(this.workerSources[ft]||(this.workerSources[ft]={}),this.workerSources[ft][jt]||(this.workerSources[ft][jt]={}),!this.workerSources[ft][jt][Zt]){var Fr={send:function(Zr,Vr,gi){yr.actor.send(Zr,Vr,gi,ft)}};this.workerSources[ft][jt][Zt]=new this.workerSourceTypes[jt](Fr,this.getLayerIndex(ft),this.getAvailableImages(ft))}return this.workerSources[ft][jt][Zt]},Wn.prototype.getDEMWorkerSource=function(ft,jt){return this.demWorkerSources[ft]||(this.demWorkerSources[ft]={}),this.demWorkerSources[ft][jt]||(this.demWorkerSources[ft][jt]=new b),this.demWorkerSources[ft][jt]},Wn.prototype.enforceCacheSizeLimit=function(ft,jt){i.enforceCacheSizeLimit(jt)},typeof WorkerGlobalScope!=\"undefined\"&&typeof self!=\"undefined\"&&self instanceof WorkerGlobalScope&&(self.worker=new Wn(self)),Wn}),n([\"./shared\"],function(i){\"use strict\";var 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Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}$(null,pe)},z.prototype.getPixelSize=function(){var O=this.atlasImage,$=O.width,pe=O.height;return{width:$,height:pe}},z.prototype.getPattern=function(O){var $=this.patterns[O],pe=this.getImage(O);if(!pe)return null;if($&&$.position.version===pe.version)return $.position;if($)$.position.version=pe.version;else{var de=pe.data.width+g*2,Ie=pe.data.height+g*2,$e={w:de,h:Ie,x:0,y:0},pt=new i.ImagePosition($e,pe);this.patterns[O]={bin:$e,position:pt}}return this._updatePatternAtlas(),this.patterns[O].position},z.prototype.bind=function(O){var $=O.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new i.Texture(O,this.atlasImage,$.RGBA),this.atlasTexture.bind($.LINEAR,$.CLAMP_TO_EDGE)},z.prototype._updatePatternAtlas=function(){var O=[];for(var $ in this.patterns)O.push(this.patterns[$].bin);var pe=i.potpack(O),de=pe.w,Ie=pe.h,$e=this.atlasImage;$e.resize({width:de||1,height:Ie||1});for(var pt in this.patterns){var Kt=this.patterns[pt],ir=Kt.bin,Jt=ir.x+g,vt=ir.y+g,Pt=this.images[pt].data,Wt=Pt.width,rr=Pt.height;i.RGBAImage.copy(Pt,$e,{x:0,y:0},{x:Jt,y:vt},{width:Wt,height:rr}),i.RGBAImage.copy(Pt,$e,{x:0,y:rr-1},{x:Jt,y:vt-1},{width:Wt,height:1}),i.RGBAImage.copy(Pt,$e,{x:0,y:0},{x:Jt,y:vt+rr},{width:Wt,height:1}),i.RGBAImage.copy(Pt,$e,{x:Wt-1,y:0},{x:Jt-1,y:vt},{width:1,height:rr}),i.RGBAImage.copy(Pt,$e,{x:0,y:0},{x:Jt+Wt,y:vt},{width:1,height:rr})}this.dirty=!0},z.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},z.prototype.dispatchRenderCallbacks=function(O){for(var $=0,pe=O;$<pe.length;$+=1){var de=pe[$];if(!this.callbackDispatchedThisFrame[de]){this.callbackDispatchedThisFrame[de]=!0;var Ie=this.images[de],$e=b(Ie);$e&&this.updateImage(de,Ie)}}},z}(i.Evented);function k(Y,z,K,O,$){var pe=z*256,de=pe+255,Ie=O.transformRequest(O.normalizeGlyphsURL(K).replace(\"{fontstack}\",Y).replace(\"{range}\",pe+\"-\"+de),i.ResourceType.Glyphs);i.getArrayBuffer(Ie,function($e,pt){if($e)$($e);else if(pt){for(var Kt={},ir=0,Jt=i.parseGlyphPBF(pt);ir<Jt.length;ir+=1){var vt=Jt[ir];Kt[vt.id]=vt}$(null,Kt)}})}var A=C,L=C,_=1e20;function C(Y,z,K,O,$,pe){this.fontSize=Y||24,this.buffer=z===void 0?3:z,this.cutoff=O||.25,this.fontFamily=$||\"sans-serif\",this.fontWeight=pe||\"normal\",this.radius=K||8;var de=this.size=this.fontSize+this.buffer*2;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=de,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(de*de),this.gridInner=new Float64Array(de*de),this.f=new Float64Array(de),this.d=new Float64Array(de),this.z=new Float64Array(de+1),this.v=new Int16Array(de),this.middle=Math.round(de/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}C.prototype.draw=function(Y){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(Y,this.buffer,this.middle);for(var z=this.ctx.getImageData(0,0,this.size,this.size),K=new Uint8ClampedArray(this.size*this.size),O=0;O<this.size*this.size;O++){var $=z.data[O*4+3]/255;this.gridOuter[O]=$===1?0:$===0?_:Math.pow(Math.max(0,.5-$),2),this.gridInner[O]=$===1?_:$===0?0:Math.pow(Math.max(0,$-.5),2)}for(M(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),M(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),O=0;O<this.size*this.size;O++){var pe=this.gridOuter[O]-this.gridInner[O];K[O]=Math.max(0,Math.min(255,Math.round(255-255*(pe/this.radius+this.cutoff))))}return K};function M(Y,z,K,O,$,pe,de){for(var Ie=0;Ie<z;Ie++){for(var $e=0;$e<K;$e++)O[$e]=Y[$e*z+Ie];for(p(O,$,pe,de,K),$e=0;$e<K;$e++)Y[$e*z+Ie]=$[$e]}for($e=0;$e<K;$e++){for(Ie=0;Ie<z;Ie++)O[Ie]=Y[$e*z+Ie];for(p(O,$,pe,de,z),Ie=0;Ie<z;Ie++)Y[$e*z+Ie]=Math.sqrt($[Ie])}}function p(Y,z,K,O,$){K[0]=0,O[0]=-_,O[1]=+_;for(var pe=1,de=0;pe<$;pe++){for(var Ie=(Y[pe]+pe*pe-(Y[K[de]]+K[de]*K[de]))/(2*pe-2*K[de]);Ie<=O[de];)de--,Ie=(Y[pe]+pe*pe-(Y[K[de]]+K[de]*K[de]))/(2*pe-2*K[de]);de++,K[de]=pe,O[de]=Ie,O[de+1]=+_}for(pe=0,de=0;pe<$;pe++){for(;O[de+1]<pe;)de++;z[pe]=(pe-K[de])*(pe-K[de])+Y[K[de]]}}A.default=L;var P=function(z,K){this.requestManager=z,this.localIdeographFontFamily=K,this.entries={}};P.prototype.setURL=function(z){this.url=z},P.prototype.getGlyphs=function(z,K){var O=this,$=[];for(var pe in z)for(var de=0,Ie=z[pe];de<Ie.length;de+=1){var $e=Ie[de];$.push({stack:pe,id:$e})}i.asyncAll($,function(pt,Kt){var ir=pt.stack,Jt=pt.id,vt=O.entries[ir];vt||(vt=O.entries[ir]={glyphs:{},requests:{},ranges:{}});var Pt=vt.glyphs[Jt];if(Pt!==void 0){Kt(null,{stack:ir,id:Jt,glyph:Pt});return}if(Pt=O._tinySDF(vt,ir,Jt),Pt){vt.glyphs[Jt]=Pt,Kt(null,{stack:ir,id:Jt,glyph:Pt});return}var Wt=Math.floor(Jt/256);if(Wt*256>65535){Kt(new Error(\"glyphs > 65535 not supported\"));return}if(vt.ranges[Wt]){Kt(null,{stack:ir,id:Jt,glyph:Pt});return}var rr=vt.requests[Wt];rr||(rr=vt.requests[Wt]=[],P.loadGlyphRange(ir,Wt,O.url,O.requestManager,function(dr,pr){if(pr){for(var kr in pr)O._doesCharSupportLocalGlyph(+kr)||(vt.glyphs[+kr]=pr[+kr]);vt.ranges[Wt]=!0}for(var Ar=0,gr=rr;Ar<gr.length;Ar+=1){var Cr=gr[Ar];Cr(dr,pr)}delete vt.requests[Wt]})),rr.push(function(dr,pr){dr?Kt(dr):pr&&Kt(null,{stack:ir,id:Jt,glyph:pr[Jt]||null})})},function(pt,Kt){if(pt)K(pt);else if(Kt){for(var ir={},Jt=0,vt=Kt;Jt<vt.length;Jt+=1){var Pt=vt[Jt],Wt=Pt.stack,rr=Pt.id,dr=Pt.glyph;(ir[Wt]||(ir[Wt]={}))[rr]=dr&&{id:dr.id,bitmap:dr.bitmap.clone(),metrics:dr.metrics}}K(null,ir)}})},P.prototype._doesCharSupportLocalGlyph=function(z){return!!this.localIdeographFontFamily&&(i.isChar[\"CJK Unified Ideographs\"](z)||i.isChar[\"Hangul Syllables\"](z)||i.isChar.Hiragana(z)||i.isChar.Katakana(z))},P.prototype._tinySDF=function(z,K,O){var $=this.localIdeographFontFamily;if($&&this._doesCharSupportLocalGlyph(O)){var pe=z.tinySDF;if(!pe){var de=\"400\";/bold/i.test(K)?de=\"900\":/medium/i.test(K)?de=\"500\":/light/i.test(K)&&(de=\"200\"),pe=z.tinySDF=new P.TinySDF(24,3,8,.25,$,de)}return{id:O,bitmap:new i.AlphaImage({width:30,height:30},pe.draw(String.fromCharCode(O))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},P.loadGlyphRange=k,P.TinySDF=A;var T=function(){this.specification=i.styleSpec.light.position};T.prototype.possiblyEvaluate=function(z,K){return i.sphericalToCartesian(z.expression.evaluate(K))},T.prototype.interpolate=function(z,K,O){return{x:i.number(z.x,K.x,O),y:i.number(z.y,K.y,O),z:i.number(z.z,K.z,O)}};var F=new i.Properties({anchor:new i.DataConstantProperty(i.styleSpec.light.anchor),position:new T,color:new i.DataConstantProperty(i.styleSpec.light.color),intensity:new i.DataConstantProperty(i.styleSpec.light.intensity)}),q=\"-transition\",V=function(Y){function z(K){Y.call(this),this._transitionable=new i.Transitionable(F),this.setLight(K),this._transitioning=this._transitionable.untransitioned()}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.getLight=function(){return this._transitionable.serialize()},z.prototype.setLight=function(O,$){if($===void 0&&($={}),!this._validate(i.validateLight,O,$))for(var pe in O){var de=O[pe];i.endsWith(pe,q)?this._transitionable.setTransition(pe.slice(0,-q.length),de):this._transitionable.setValue(pe,de)}},z.prototype.updateTransitions=function(O){this._transitioning=this._transitionable.transitioned(O,this._transitioning)},z.prototype.hasTransition=function(){return this._transitioning.hasTransition()},z.prototype.recalculate=function(O){this.properties=this._transitioning.possiblyEvaluate(O)},z.prototype._validate=function(O,$,pe){return pe&&pe.validate===!1?!1:i.emitValidationErrors(this,O.call(i.validateStyle,i.extend({value:$,style:{glyphs:!0,sprite:!0},styleSpec:i.styleSpec})))},z}(i.Evented),H=function(z,K){this.width=z,this.height=K,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};H.prototype.getDash=function(z,K){var O=z.join(\",\")+String(K);return this.dashEntry[O]||(this.dashEntry[O]=this.addDash(z,K)),this.dashEntry[O]},H.prototype.getDashRanges=function(z,K,O){var $=z.length%2===1,pe=[],de=$?-z[z.length-1]*O:0,Ie=z[0]*O,$e=!0;pe.push({left:de,right:Ie,isDash:$e,zeroLength:z[0]===0});for(var pt=z[0],Kt=1;Kt<z.length;Kt++){$e=!$e;var ir=z[Kt];de=pt*O,pt+=ir,Ie=pt*O,pe.push({left:de,right:Ie,isDash:$e,zeroLength:ir===0})}return pe},H.prototype.addRoundDash=function(z,K,O){for(var $=K/2,pe=-O;pe<=O;pe++)for(var de=this.nextRow+O+pe,Ie=this.width*de,$e=0,pt=z[$e],Kt=0;Kt<this.width;Kt++){Kt/pt.right>1&&(pt=z[++$e]);var ir=Math.abs(Kt-pt.left),Jt=Math.abs(Kt-pt.right),vt=Math.min(ir,Jt),Pt=void 0,Wt=pe/O*($+1);if(pt.isDash){var rr=$-Math.abs(Wt);Pt=Math.sqrt(vt*vt+rr*rr)}else Pt=$-Math.sqrt(vt*vt+Wt*Wt);this.data[Ie+Kt]=Math.max(0,Math.min(255,Pt+128))}},H.prototype.addRegularDash=function(z){for(var K=z.length-1;K>=0;--K){var O=z[K],$=z[K+1];O.zeroLength?z.splice(K,1):$&&$.isDash===O.isDash&&($.left=O.left,z.splice(K,1))}var pe=z[0],de=z[z.length-1];pe.isDash===de.isDash&&(pe.left=de.left-this.width,de.right=pe.right+this.width);for(var Ie=this.width*this.nextRow,$e=0,pt=z[$e],Kt=0;Kt<this.width;Kt++){Kt/pt.right>1&&(pt=z[++$e]);var ir=Math.abs(Kt-pt.left),Jt=Math.abs(Kt-pt.right),vt=Math.min(ir,Jt),Pt=pt.isDash?vt:-vt;this.data[Ie+Kt]=Math.max(0,Math.min(255,Pt+128))}},H.prototype.addDash=function(z,K){var O=K?7:0,$=2*O+1;if(this.nextRow+$>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var pe=0,de=0;de<z.length;de++)pe+=z[de];if(pe!==0){var Ie=this.width/pe,$e=this.getDashRanges(z,this.width,Ie);K?this.addRoundDash($e,Ie,O):this.addRegularDash($e)}var pt={y:(this.nextRow+O+.5)/this.height,height:2*O/this.height,width:pe};return this.nextRow+=$,this.dirty=!0,pt},H.prototype.bind=function(z){var K=z.gl;this.texture?(K.bindTexture(K.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,K.texSubImage2D(K.TEXTURE_2D,0,0,0,this.width,this.height,K.ALPHA,K.UNSIGNED_BYTE,this.data))):(this.texture=K.createTexture(),K.bindTexture(K.TEXTURE_2D,this.texture),K.texParameteri(K.TEXTURE_2D,K.TEXTURE_WRAP_S,K.REPEAT),K.texParameteri(K.TEXTURE_2D,K.TEXTURE_WRAP_T,K.REPEAT),K.texParameteri(K.TEXTURE_2D,K.TEXTURE_MIN_FILTER,K.LINEAR),K.texParameteri(K.TEXTURE_2D,K.TEXTURE_MAG_FILTER,K.LINEAR),K.texImage2D(K.TEXTURE_2D,0,K.ALPHA,this.width,this.height,0,K.ALPHA,K.UNSIGNED_BYTE,this.data))};var X=function Y(z,K){this.workerPool=z,this.actors=[],this.currentActor=0,this.id=i.uniqueId();for(var O=this.workerPool.acquire(this.id),$=0;$<O.length;$++){var pe=O[$],de=new Y.Actor(pe,K,this.id);de.name=\"Worker \"+$,this.actors.push(de)}};X.prototype.broadcast=function(z,K,O){O=O||function(){},i.asyncAll(this.actors,function($,pe){$.send(z,K,pe)},O)},X.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},X.prototype.remove=function(){this.actors.forEach(function(z){z.remove()}),this.actors=[],this.workerPool.release(this.id)},X.Actor=i.Actor;function G(Y,z,K){var O=function($,pe){if($)return K($);if(pe){var de=i.pick(i.extend(pe,Y),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);pe.vector_layers&&(de.vectorLayers=pe.vector_layers,de.vectorLayerIds=de.vectorLayers.map(function(Ie){return Ie.id})),de.tiles=z.canonicalizeTileset(de,Y.url),K(null,de)}};return Y.url?i.getJSON(z.transformRequest(z.normalizeSourceURL(Y.url),i.ResourceType.Source),O):i.browser.frame(function(){return O(null,Y)})}var N=function(z,K,O){this.bounds=i.LngLatBounds.convert(this.validateBounds(z)),this.minzoom=K||0,this.maxzoom=O||24};N.prototype.validateBounds=function(z){return!Array.isArray(z)||z.length!==4?[-180,-90,180,90]:[Math.max(-180,z[0]),Math.max(-90,z[1]),Math.min(180,z[2]),Math.min(90,z[3])]},N.prototype.contains=function(z){var K=Math.pow(2,z.z),O={minX:Math.floor(i.mercatorXfromLng(this.bounds.getWest())*K),minY:Math.floor(i.mercatorYfromLat(this.bounds.getNorth())*K),maxX:Math.ceil(i.mercatorXfromLng(this.bounds.getEast())*K),maxY:Math.ceil(i.mercatorYfromLat(this.bounds.getSouth())*K)},$=z.x>=O.minX&&z.x<O.maxX&&z.y>=O.minY&&z.y<O.maxY;return $};var W=function(Y){function z(K,O,$,pe){if(Y.call(this),this.id=K,this.dispatcher=$,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=i.extend({type:\"vector\"},O),this._collectResourceTiming=O.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(pe)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=G(this._options,this.map._requestManager,function($,pe){O._tileJSONRequest=null,O._loaded=!0,$?O.fire(new i.ErrorEvent($)):pe&&(i.extend(O,pe),pe.bounds&&(O.tileBounds=new N(pe.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(pe.tiles,O.map._requestManager._customAccessToken),i.postMapLoadEvent(pe.tiles,O.map._getMapId(),O.map._requestManager._skuToken,O.map._requestManager._customAccessToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},z.prototype.loaded=function(){return this._loaded},z.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.setSourceProperty=function(O){this._tileJSONRequest&&this._tileJSONRequest.cancel(),O();var $=this.map.style.sourceCaches[this.id];$.clearTiles(),this.load()},z.prototype.setTiles=function(O){var $=this;return this.setSourceProperty(function(){$._options.tiles=O}),this},z.prototype.setUrl=function(O){var $=this;return this.setSourceProperty(function(){$.url=O,$._options.url=O}),this},z.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},z.prototype.serialize=function(){return i.extend({},this._options)},z.prototype.loadTile=function(O,$){var pe=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme)),de={request:this.map._requestManager.transformRequest(pe,i.ResourceType.Tile),uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,tileSize:this.tileSize*O.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};de.request.collectResourceTiming=this._collectResourceTiming,!O.actor||O.state===\"expired\"?(O.actor=this.dispatcher.getActor(),O.request=O.actor.send(\"loadTile\",de,Ie.bind(this))):O.state===\"loading\"?O.reloadCallback=$:O.request=O.actor.send(\"reloadTile\",de,Ie.bind(this));function Ie($e,pt){if(delete O.request,O.aborted)return $(null);if($e&&$e.status!==404)return $($e);pt&&pt.resourceTiming&&(O.resourceTiming=pt.resourceTiming),this.map._refreshExpiredTiles&&pt&&O.setExpiryData(pt),O.loadVectorData(pt,this.map.painter),i.cacheEntryPossiblyAdded(this.dispatcher),$(null),O.reloadCallback&&(this.loadTile(O,O.reloadCallback),O.reloadCallback=null)}},z.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.actor&&O.actor.send(\"abortTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},z.prototype.unloadTile=function(O){O.unloadVectorData(),O.actor&&O.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},z.prototype.hasTransition=function(){return!1},z}(i.Evented),re=function(Y){function z(K,O,$,pe){Y.call(this),this.id=K,this.dispatcher=$,this.setEventedParent(pe),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=i.extend({type:\"raster\"},O),i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\"]))}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=G(this._options,this.map._requestManager,function($,pe){O._tileJSONRequest=null,O._loaded=!0,$?O.fire(new i.ErrorEvent($)):pe&&(i.extend(O,pe),pe.bounds&&(O.tileBounds=new N(pe.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(pe.tiles),i.postMapLoadEvent(pe.tiles,O.map._getMapId(),O.map._requestManager._skuToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},z.prototype.loaded=function(){return this._loaded},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},z.prototype.serialize=function(){return i.extend({},this._options)},z.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},z.prototype.loadTile=function(O,$){var pe=this,de=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(de,i.ResourceType.Tile),function(Ie,$e){if(delete O.request,O.aborted)O.state=\"unloaded\",$(null);else if(Ie)O.state=\"errored\",$(Ie);else if($e){pe.map._refreshExpiredTiles&&O.setExpiryData($e),delete $e.cacheControl,delete $e.expires;var pt=pe.map.painter.context,Kt=pt.gl;O.texture=pe.map.painter.getTileTexture($e.width),O.texture?O.texture.update($e,{useMipmap:!0}):(O.texture=new i.Texture(pt,$e,Kt.RGBA,{useMipmap:!0}),O.texture.bind(Kt.LINEAR,Kt.CLAMP_TO_EDGE,Kt.LINEAR_MIPMAP_NEAREST),pt.extTextureFilterAnisotropic&&Kt.texParameterf(Kt.TEXTURE_2D,pt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,pt.extTextureFilterAnisotropicMax)),O.state=\"loaded\",i.cacheEntryPossiblyAdded(pe.dispatcher),$(null)}})},z.prototype.abortTile=function(O,$){O.request&&(O.request.cancel(),delete O.request),$()},z.prototype.unloadTile=function(O,$){O.texture&&this.map.painter.saveTileTexture(O.texture),$()},z.prototype.hasTransition=function(){return!1},z}(i.Evented),ae=function(Y){function z(K,O,$,pe){Y.call(this,K,O,$,pe),this.type=\"raster-dem\",this.maxzoom=22,this._options=i.extend({type:\"raster-dem\"},O),this.encoding=O.encoding||\"mapbox\"}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},z.prototype.loadTile=function(O,$){var pe=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(pe,i.ResourceType.Tile),de.bind(this)),O.neighboringTiles=this._getNeighboringTiles(O.tileID);function de($e,pt){if(delete O.request,O.aborted)O.state=\"unloaded\",$(null);else if($e)O.state=\"errored\",$($e);else if(pt){this.map._refreshExpiredTiles&&O.setExpiryData(pt),delete pt.cacheControl,delete pt.expires;var Kt=i.window.ImageBitmap&&pt instanceof i.window.ImageBitmap&&i.offscreenCanvasSupported(),ir=Kt?pt:i.browser.getImageData(pt,1),Jt={uid:O.uid,coord:O.tileID,source:this.id,rawImageData:ir,encoding:this.encoding};(!O.actor||O.state===\"expired\")&&(O.actor=this.dispatcher.getActor(),O.actor.send(\"loadDEMTile\",Jt,Ie.bind(this)))}}function Ie($e,pt){$e&&(O.state=\"errored\",$($e)),pt&&(O.dem=pt,O.needsHillshadePrepare=!0,O.state=\"loaded\",$(null))}},z.prototype._getNeighboringTiles=function(O){var $=O.canonical,pe=Math.pow(2,$.z),de=($.x-1+pe)%pe,Ie=$.x===0?O.wrap-1:O.wrap,$e=($.x+1+pe)%pe,pt=$.x+1===pe?O.wrap+1:O.wrap,Kt={};return Kt[new i.OverscaledTileID(O.overscaledZ,Ie,$.z,de,$.y).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,pt,$.z,$e,$.y).key]={backfilled:!1},$.y>0&&(Kt[new i.OverscaledTileID(O.overscaledZ,Ie,$.z,de,$.y-1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,O.wrap,$.z,$.x,$.y-1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,pt,$.z,$e,$.y-1).key]={backfilled:!1}),$.y+1<pe&&(Kt[new i.OverscaledTileID(O.overscaledZ,Ie,$.z,de,$.y+1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,O.wrap,$.z,$.x,$.y+1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,pt,$.z,$e,$.y+1).key]={backfilled:!1}),Kt},z.prototype.unloadTile=function(O){O.demTexture&&this.map.painter.saveTileTexture(O.demTexture),O.fbo&&(O.fbo.destroy(),delete O.fbo),O.dem&&delete O.dem,delete O.neighboringTiles,O.state=\"unloaded\",O.actor&&O.actor.send(\"removeDEMTile\",{uid:O.uid,source:this.id})},z}(re),_e=function(Y){function z(K,O,$,pe){Y.call(this),this.id=K,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=$.getActor(),this.setEventedParent(pe),this._data=O.data,this._options=i.extend({},O),this._collectResourceTiming=O.collectResourceTiming,this._resourceTiming=[],O.maxzoom!==void 0&&(this.maxzoom=O.maxzoom),O.type&&(this.type=O.type),O.attribution&&(this.attribution=O.attribution),this.promoteId=O.promoteId;var de=i.EXTENT/this.tileSize;this.workerOptions=i.extend({source:this.id,cluster:O.cluster||!1,geojsonVtOptions:{buffer:(O.buffer!==void 0?O.buffer:128)*de,tolerance:(O.tolerance!==void 0?O.tolerance:.375)*de,extent:i.EXTENT,maxZoom:this.maxzoom,lineMetrics:O.lineMetrics||!1,generateId:O.generateId||!1},superclusterOptions:{maxZoom:O.clusterMaxZoom!==void 0?Math.min(O.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,O.clusterMinPoints||2),extent:i.EXTENT,radius:(O.clusterRadius||50)*de,log:!1,generateId:O.generateId||!1},clusterProperties:O.clusterProperties,filter:O.filter},O.workerOptions)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){var O=this;this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function($){if($){O.fire(new i.ErrorEvent($));return}var pe={dataType:\"source\",sourceDataType:\"metadata\"};O._collectResourceTiming&&O._resourceTiming&&O._resourceTiming.length>0&&(pe.resourceTiming=O._resourceTiming,O._resourceTiming=[]),O.fire(new i.Event(\"data\",pe))})},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.setData=function(O){var $=this;return this._data=O,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(pe){if(pe){$.fire(new i.ErrorEvent(pe));return}var de={dataType:\"source\",sourceDataType:\"content\"};$._collectResourceTiming&&$._resourceTiming&&$._resourceTiming.length>0&&(de.resourceTiming=$._resourceTiming,$._resourceTiming=[]),$.fire(new i.Event(\"data\",de))}),this},z.prototype.getClusterExpansionZoom=function(O,$){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:O,source:this.id},$),this},z.prototype.getClusterChildren=function(O,$){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:O,source:this.id},$),this},z.prototype.getClusterLeaves=function(O,$,pe,de){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:O,limit:$,offset:pe},de),this},z.prototype._updateWorkerData=function(O){var $=this;this._loaded=!1;var pe=i.extend({},this.workerOptions),de=this._data;typeof de==\"string\"?(pe.request=this.map._requestManager.transformRequest(i.browser.resolveURL(de),i.ResourceType.Source),pe.request.collectResourceTiming=this._collectResourceTiming):pe.data=JSON.stringify(de),this.actor.send(this.type+\".loadData\",pe,function(Ie,$e){$._removed||$e&&$e.abandoned||($._loaded=!0,$e&&$e.resourceTiming&&$e.resourceTiming[$.id]&&($._resourceTiming=$e.resourceTiming[$.id].slice(0)),$.actor.send($.type+\".coalesce\",{source:pe.source},null),O(Ie))})},z.prototype.loaded=function(){return this._loaded},z.prototype.loadTile=function(O,$){var pe=this,de=O.actor?\"reloadTile\":\"loadTile\";O.actor=this.actor;var Ie={type:this.type,uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};O.request=this.actor.send(de,Ie,function($e,pt){return delete O.request,O.unloadVectorData(),O.aborted?$(null):$e?$($e):(O.loadVectorData(pt,pe.map.painter,de===\"reloadTile\"),$(null))})},z.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.aborted=!0},z.prototype.unloadTile=function(O){O.unloadVectorData(),this.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id})},z.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},z.prototype.serialize=function(){return i.extend({},this._options,{type:this.type,data:this._data})},z.prototype.hasTransition=function(){return!1},z}(i.Evented),Me=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),ke=function(Y){function z(K,O,$,pe){Y.call(this),this.id=K,this.dispatcher=$,this.coordinates=O.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(pe),this.options=O}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(O,$){var pe=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,i.getImage(this.map._requestManager.transformRequest(this.url,i.ResourceType.Image),function(de,Ie){pe._loaded=!0,de?pe.fire(new i.ErrorEvent(de)):Ie&&(pe.image=Ie,O&&(pe.coordinates=O),$&&$(),pe._finishLoading())})},z.prototype.loaded=function(){return this._loaded},z.prototype.updateImage=function(O){var $=this;return!this.image||!O.url?this:(this.options.url=O.url,this.load(O.coordinates,function(){$.texture=null}),this)},z.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.setCoordinates=function(O){var $=this;this.coordinates=O;var pe=O.map(i.MercatorCoordinate.fromLngLat);this.tileID=ge(pe),this.minzoom=this.maxzoom=this.tileID.z;var de=pe.map(function(Ie){return $.tileID.getTilePoint(Ie)._round()});return this._boundsArray=new i.StructArrayLayout4i8,this._boundsArray.emplaceBack(de[0].x,de[0].y,0,0),this._boundsArray.emplaceBack(de[1].x,de[1].y,i.EXTENT,0),this._boundsArray.emplaceBack(de[3].x,de[3].y,0,i.EXTENT),this._boundsArray.emplaceBack(de[2].x,de[2].y,i.EXTENT,i.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},z.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var O=this.map.painter.context,$=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new i.Texture(O,this.image,$.RGBA),this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE));for(var pe in this.tiles){var de=this.tiles[pe];de.state!==\"loaded\"&&(de.state=\"loaded\",de.texture=this.texture)}}},z.prototype.loadTile=function(O,$){this.tileID&&this.tileID.equals(O.tileID.canonical)?(this.tiles[String(O.tileID.wrap)]=O,O.buckets={},$(null)):(O.state=\"errored\",$(null))},z.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},z.prototype.hasTransition=function(){return!1},z}(i.Evented);function ge(Y){for(var z=1/0,K=1/0,O=-1/0,$=-1/0,pe=0,de=Y;pe<de.length;pe+=1){var Ie=de[pe];z=Math.min(z,Ie.x),K=Math.min(K,Ie.y),O=Math.max(O,Ie.x),$=Math.max($,Ie.y)}var $e=O-z,pt=$-K,Kt=Math.max($e,pt),ir=Math.max(0,Math.floor(-Math.log(Kt)/Math.LN2)),Jt=Math.pow(2,ir);return new i.CanonicalTileID(ir,Math.floor((z+O)/2*Jt),Math.floor((K+$)/2*Jt))}var ie=function(Y){function z(K,O,$,pe){Y.call(this,K,O,$,pe),this.roundZoom=!0,this.type=\"video\",this.options=O}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){var O=this;this._loaded=!1;var $=this.options;this.urls=[];for(var pe=0,de=$.urls;pe<de.length;pe+=1){var Ie=de[pe];this.urls.push(this.map._requestManager.transformRequest(Ie,i.ResourceType.Source).url)}i.getVideo(this.urls,function($e,pt){O._loaded=!0,$e?O.fire(new i.ErrorEvent($e)):pt&&(O.video=pt,O.video.loop=!0,O.video.addEventListener(\"playing\",function(){O.map.triggerRepaint()}),O.map&&O.video.play(),O._finishLoading())})},z.prototype.pause=function(){this.video&&this.video.pause()},z.prototype.play=function(){this.video&&this.video.play()},z.prototype.seek=function(O){if(this.video){var $=this.video.seekable;O<$.start(0)||O>$.end(0)?this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+$.start(0)+\" and \"+$.end(0)+\"-second mark.\"))):this.video.currentTime=O}},z.prototype.getVideo=function(){return this.video},z.prototype.onAdd=function(O){this.map||(this.map=O,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},z.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var O=this.map.painter.context,$=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE),$.texSubImage2D($.TEXTURE_2D,0,0,0,$.RGBA,$.UNSIGNED_BYTE,this.video)):(this.texture=new i.Texture(O,this.video,$.RGBA),this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE));for(var pe in this.tiles){var de=this.tiles[pe];de.state!==\"loaded\"&&(de.state=\"loaded\",de.texture=this.texture)}}},z.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},z.prototype.hasTransition=function(){return this.video&&!this.video.paused},z}(ke),Te=function(Y){function z(K,O,$,pe){Y.call(this,K,O,$,pe),O.coordinates?(!Array.isArray(O.coordinates)||O.coordinates.length!==4||O.coordinates.some(function(de){return!Array.isArray(de)||de.length!==2||de.some(function(Ie){return typeof Ie!=\"number\"})}))&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'missing required property \"coordinates\"'))),O.animate&&typeof O.animate!=\"boolean\"&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'optional \"animate\" property must be a boolean value'))),O.canvas?typeof O.canvas!=\"string\"&&!(O.canvas instanceof i.window.HTMLCanvasElement)&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'missing required property \"canvas\"'))),this.options=O,this.animate=O.animate!==void 0?O.animate:!0}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof i.window.HTMLCanvasElement?this.options.canvas:i.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new i.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},z.prototype.getCanvas=function(){return this.canvas},z.prototype.onAdd=function(O){this.map=O,this.load(),this.canvas&&this.animate&&this.play()},z.prototype.onRemove=function(){this.pause()},z.prototype.prepare=function(){var O=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,O=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,O=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var $=this.map.painter.context,pe=$.gl;this.boundsBuffer||(this.boundsBuffer=$.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(O||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new i.Texture($,this.canvas,pe.RGBA,{premultiply:!0});for(var de in this.tiles){var Ie=this.tiles[de];Ie.state!==\"loaded\"&&(Ie.state=\"loaded\",Ie.texture=this.texture)}}},z.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},z.prototype.hasTransition=function(){return this._playing},z.prototype._hasInvalidDimensions=function(){for(var O=0,$=[this.canvas.width,this.canvas.height];O<$.length;O+=1){var pe=$[O];if(isNaN(pe)||pe<=0)return!0}return!1},z}(ke),Ee={vector:W,raster:re,\"raster-dem\":ae,geojson:_e,video:ie,image:ke,canvas:Te},Ae=function(Y,z,K,O){var $=new Ee[z.type](Y,z,K,O);if($.id!==Y)throw new Error(\"Expected Source id to be \"+Y+\" instead of \"+$.id);return i.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],$),$},ze=function(Y){return Ee[Y]},Ce=function(Y,z){Ee[Y]=z};function me(Y,z){var K=i.identity([]);return i.translate(K,K,[1,1,0]),i.scale(K,K,[Y.width*.5,Y.height*.5,1]),i.multiply(K,K,Y.calculatePosMatrix(z.toUnwrapped()))}function Re(Y,z,K){if(Y)for(var O=0,$=Y;O<$.length;O+=1){var pe=$[O],de=z[pe];if(de&&de.source===K&&de.type===\"fill-extrusion\")return!0}else for(var Ie in z){var $e=z[Ie];if($e.source===K&&$e.type===\"fill-extrusion\")return!0}return!1}function ce(Y,z,K,O,$,pe){var de=Re($&&$.layers,z,Y.id),Ie=pe.maxPitchScaleFactor(),$e=Y.tilesIn(O,Ie,de);$e.sort(ct);for(var pt=[],Kt=0,ir=$e;Kt<ir.length;Kt+=1){var Jt=ir[Kt];pt.push({wrappedTileID:Jt.tileID.wrapped().key,queryResults:Jt.tile.queryRenderedFeatures(z,K,Y._state,Jt.queryGeometry,Jt.cameraQueryGeometry,Jt.scale,$,pe,Ie,me(Y.transform,Jt.tileID))})}var vt=qt(pt);for(var Pt in vt)vt[Pt].forEach(function(Wt){var rr=Wt.feature,dr=Y.getFeatureState(rr.layer[\"source-layer\"],rr.id);rr.source=rr.layer.source,rr.layer[\"source-layer\"]&&(rr.sourceLayer=rr.layer[\"source-layer\"]),rr.state=dr});return vt}function Ge(Y,z,K,O,$,pe,de){for(var Ie={},$e=pe.queryRenderedSymbols(O),pt=[],Kt=0,ir=Object.keys($e).map(Number);Kt<ir.length;Kt+=1){var Jt=ir[Kt];pt.push(de[Jt])}pt.sort(ct);for(var vt=function(){var pr=Wt[Pt],kr=pr.featureIndex.lookupSymbolFeatures($e[pr.bucketInstanceId],z,pr.bucketIndex,pr.sourceLayerIndex,$.filter,$.layers,$.availableImages,Y);for(var Ar in kr){var gr=Ie[Ar]=Ie[Ar]||[],Cr=kr[Ar];Cr.sort(function(yi,tn){var Ri=pr.featureSortOrder;if(Ri){var ln=Ri.indexOf(yi.featureIndex),Qn=Ri.indexOf(tn.featureIndex);return Qn-ln}else 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Qr(this),this.extTextureFilterAnisotropic=z.getExtension(\"EXT_texture_filter_anisotropic\")||z.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||z.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=z.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=z.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(z.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=z.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=z.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=z.getParameter(z.MAX_TEXTURE_SIZE)};Fr.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Fr.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Fr.prototype.createIndexBuffer=function(z,K){return new ot(this,z,K)},Fr.prototype.createVertexBuffer=function(z,K,O){return new kt(this,z,K,O)},Fr.prototype.createRenderbuffer=function(z,K,O){var $=this.gl,pe=$.createRenderbuffer();return this.bindRenderbuffer.set(pe),$.renderbufferStorage($.RENDERBUFFER,z,K,O),this.bindRenderbuffer.set(null),pe},Fr.prototype.createFramebuffer=function(z,K,O){return new bi(this,z,K,O)},Fr.prototype.clear=function(z){var K=z.color,O=z.depth,$=this.gl,pe=0;K&&(pe|=$.COLOR_BUFFER_BIT,this.clearColor.set(K),this.colorMask.set([!0,!0,!0,!0])),typeof O!=\"undefined\"&&(pe|=$.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(O),this.depthMask.set(!0)),$.clear(pe)},Fr.prototype.setCullFace=function(z){z.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(z.mode),this.frontFace.set(z.frontFace))},Fr.prototype.setDepthMode=function(z){z.func===this.gl.ALWAYS&&!z.mask?this.depthTest.set(!1):(this.depthTest.set(!0),this.depthFunc.set(z.func),this.depthMask.set(z.mask),this.depthRange.set(z.range))},Fr.prototype.setStencilMode=function(z){z.test.func===this.gl.ALWAYS&&!z.mask?this.stencilTest.set(!1):(this.stencilTest.set(!0),this.stencilMask.set(z.mask),this.stencilOp.set([z.fail,z.depthFail,z.pass]),this.stencilFunc.set({func:z.test.func,ref:z.ref,mask:z.test.mask}))},Fr.prototype.setColorMode=function(z){i.deepEqual(z.blendFunction,ft.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(z.blendFunction),this.blendColor.set(z.blendColor)),this.colorMask.set(z.mask)},Fr.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Zr=function(Y){function z(K,O,$){var pe=this;Y.call(this),this.id=K,this.dispatcher=$,this.on(\"data\",function(de){de.dataType===\"source\"&&de.sourceDataType===\"metadata\"&&(pe._sourceLoaded=!0),pe._sourceLoaded&&!pe._paused&&de.dataType===\"source\"&&de.sourceDataType===\"content\"&&(pe.reload(),pe.transform&&pe.update(pe.transform))}),this.on(\"error\",function(){pe._sourceErrored=!0}),this._source=Ae(K,O,$,this),this._tiles={},this._cache=new rt(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new i.SourceFeatureState}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.onAdd=function(O){this.map=O,this._maxTileCacheSize=O?O._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(O)},z.prototype.onRemove=function(O){this._source&&this._source.onRemove&&this._source.onRemove(O)},z.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;for(var O in this._tiles){var $=this._tiles[O];if($.state!==\"loaded\"&&$.state!==\"errored\")return!1}return!0},z.prototype.getSource=function(){return this._source},z.prototype.pause=function(){this._paused=!0},z.prototype.resume=function(){if(this._paused){var O=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,O&&this.reload(),this.transform&&this.update(this.transform)}},z.prototype._loadTile=function(O,$){return this._source.loadTile(O,$)},z.prototype._unloadTile=function(O){if(this._source.unloadTile)return this._source.unloadTile(O,function(){})},z.prototype._abortTile=function(O){if(this._source.abortTile)return this._source.abortTile(O,function(){})},z.prototype.serialize=function(){return this._source.serialize()},z.prototype.prepare=function(O){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(var $ in this._tiles){var pe=this._tiles[$];pe.upload(O),pe.prepare(this.map.style.imageManager)}},z.prototype.getIds=function(){return i.values(this._tiles).map(function(O){return O.tileID}).sort(Vr).map(function(O){return O.key})},z.prototype.getRenderableIds=function(O){var $=this,pe=[];for(var de in this._tiles)this._isIdRenderable(de,O)&&pe.push(this._tiles[de]);return O?pe.sort(function(Ie,$e){var pt=Ie.tileID,Kt=$e.tileID,ir=new i.Point(pt.canonical.x,pt.canonical.y)._rotate($.transform.angle),Jt=new i.Point(Kt.canonical.x,Kt.canonical.y)._rotate($.transform.angle);return pt.overscaledZ-Kt.overscaledZ||Jt.y-ir.y||Jt.x-ir.x}).map(function(Ie){return Ie.tileID.key}):pe.map(function(Ie){return Ie.tileID}).sort(Vr).map(function(Ie){return Ie.key})},z.prototype.hasRenderableParent=function(O){var $=this.findLoadedParent(O,0);return $?this._isIdRenderable($.tileID.key):!1},z.prototype._isIdRenderable=function(O,$){return this._tiles[O]&&this._tiles[O].hasData()&&!this._coveredTiles[O]&&($||!this._tiles[O].holdingForFade())},z.prototype.reload=function(){if(this._paused){this._shouldReloadOnResume=!0;return}this._cache.reset();for(var O in this._tiles)this._tiles[O].state!==\"errored\"&&this._reloadTile(O,\"reloading\")},z.prototype._reloadTile=function(O,$){var pe=this._tiles[O];pe&&(pe.state!==\"loading\"&&(pe.state=$),this._loadTile(pe,this._tileLoaded.bind(this,pe,O,$)))},z.prototype._tileLoaded=function(O,$,pe,de){if(de){O.state=\"errored\",de.status!==404?this._source.fire(new i.ErrorEvent(de,{tile:O})):this.update(this.transform);return}O.timeAdded=i.browser.now(),pe===\"expired\"&&(O.refreshedUponExpiration=!0),this._setTileReloadTimer($,O),this.getSource().type===\"raster-dem\"&&O.dem&&this._backfillDEM(O),this._state.initializeTileState(O,this.map?this.map.painter:null),this._source.fire(new i.Event(\"data\",{dataType:\"source\",tile:O,coord:O.tileID}))},z.prototype._backfillDEM=function(O){for(var $=this.getRenderableIds(),pe=0;pe<$.length;pe++){var de=$[pe];if(O.neighboringTiles&&O.neighboringTiles[de]){var Ie=this.getTileByID(de);$e(O,Ie),$e(Ie,O)}}function $e(pt,Kt){pt.needsHillshadePrepare=!0;var ir=Kt.tileID.canonical.x-pt.tileID.canonical.x,Jt=Kt.tileID.canonical.y-pt.tileID.canonical.y,vt=Math.pow(2,pt.tileID.canonical.z),Pt=Kt.tileID.key;ir===0&&Jt===0||Math.abs(Jt)>1||(Math.abs(ir)>1&&(Math.abs(ir+vt)===1?ir+=vt:Math.abs(ir-vt)===1&&(ir-=vt)),!(!Kt.dem||!pt.dem)&&(pt.dem.backfillBorder(Kt.dem,ir,Jt),pt.neighboringTiles&&pt.neighboringTiles[Pt]&&(pt.neighboringTiles[Pt].backfilled=!0)))}},z.prototype.getTile=function(O){return this.getTileByID(O.key)},z.prototype.getTileByID=function(O){return this._tiles[O]},z.prototype._retainLoadedChildren=function(O,$,pe,de){for(var Ie in this._tiles){var $e=this._tiles[Ie];if(!(de[Ie]||!$e.hasData()||$e.tileID.overscaledZ<=$||$e.tileID.overscaledZ>pe)){for(var pt=$e.tileID;$e&&$e.tileID.overscaledZ>$+1;){var Kt=$e.tileID.scaledTo($e.tileID.overscaledZ-1);$e=this._tiles[Kt.key],$e&&$e.hasData()&&(pt=Kt)}for(var ir=pt;ir.overscaledZ>$;)if(ir=ir.scaledTo(ir.overscaledZ-1),O[ir.key]){de[pt.key]=pt;break}}}},z.prototype.findLoadedParent=function(O,$){if(O.key in this._loadedParentTiles){var pe=this._loadedParentTiles[O.key];return pe&&pe.tileID.overscaledZ>=$?pe:null}for(var de=O.overscaledZ-1;de>=$;de--){var Ie=O.scaledTo(de),$e=this._getLoadedTile(Ie);if($e)return $e}},z.prototype._getLoadedTile=function(O){var $=this._tiles[O.key];if($&&$.hasData())return $;var pe=this._cache.getByKey(O.wrapped().key);return pe},z.prototype.updateCacheSize=function(O){var $=Math.ceil(O.width/this._source.tileSize)+1,pe=Math.ceil(O.height/this._source.tileSize)+1,de=$*pe,Ie=5,$e=Math.floor(de*Ie),pt=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,$e):$e;this._cache.setMaxSize(pt)},z.prototype.handleWrapJump=function(O){var $=this._prevLng===void 0?O:this._prevLng,pe=O-$,de=pe/360,Ie=Math.round(de);if(this._prevLng=O,Ie){var $e={};for(var pt in this._tiles){var Kt=this._tiles[pt];Kt.tileID=Kt.tileID.unwrapTo(Kt.tileID.wrap+Ie),$e[Kt.tileID.key]=Kt}this._tiles=$e;for(var ir in this._timers)clearTimeout(this._timers[ir]),delete this._timers[ir];for(var Jt in this._tiles){var vt=this._tiles[Jt];this._setTileReloadTimer(Jt,vt)}}},z.prototype.update=function(O){var $=this;if(this.transform=O,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(O),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var pe;this.used?this._source.tileID?pe=O.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(yi){return new i.OverscaledTileID(yi.canonical.z,yi.wrap,yi.canonical.z,yi.canonical.x,yi.canonical.y)}):(pe=O.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(pe=pe.filter(function(yi){return $._source.hasTile(yi)}))):pe=[];var de=O.coveringZoomLevel(this._source),Ie=Math.max(de-z.maxOverzooming,this._source.minzoom),$e=Math.max(de+z.maxUnderzooming,this._source.minzoom),pt=this._updateRetainedTiles(pe,de);if(gi(this._source.type)){for(var Kt={},ir={},Jt=Object.keys(pt),vt=0,Pt=Jt;vt<Pt.length;vt+=1){var Wt=Pt[vt],rr=pt[Wt],dr=this._tiles[Wt];if(!(!dr||dr.fadeEndTime&&dr.fadeEndTime<=i.browser.now())){var pr=this.findLoadedParent(rr,Ie);pr&&(this._addTile(pr.tileID),Kt[pr.tileID.key]=pr.tileID),ir[Wt]=rr}}this._retainLoadedChildren(ir,de,$e,pt);for(var kr in Kt)pt[kr]||(this._coveredTiles[kr]=!0,pt[kr]=Kt[kr])}for(var Ar in pt)this._tiles[Ar].clearFadeHold();for(var gr=i.keysDifference(this._tiles,pt),Cr=0,cr=gr;Cr<cr.length;Cr+=1){var Gr=cr[Cr],ei=this._tiles[Gr];ei.hasSymbolBuckets&&!ei.holdingForFade()?ei.setHoldDuration(this.map._fadeDuration):(!ei.hasSymbolBuckets||ei.symbolFadeFinished())&&this._removeTile(Gr)}this._updateLoadedParentTileCache()}},z.prototype.releaseSymbolFadeTiles=function(){for(var O in this._tiles)this._tiles[O].holdingForFade()&&this._removeTile(O)},z.prototype._updateRetainedTiles=function(O,$){for(var pe={},de={},Ie=Math.max($-z.maxOverzooming,this._source.minzoom),$e=Math.max($+z.maxUnderzooming,this._source.minzoom),pt={},Kt=0,ir=O;Kt<ir.length;Kt+=1){var Jt=ir[Kt],vt=this._addTile(Jt);pe[Jt.key]=Jt,!vt.hasData()&&$<this._source.maxzoom&&(pt[Jt.key]=Jt)}this._retainLoadedChildren(pt,$,$e,pe);for(var Pt=0,Wt=O;Pt<Wt.length;Pt+=1){var rr=Wt[Pt],dr=this._tiles[rr.key];if(!dr.hasData()){if($+1>this._source.maxzoom){var pr=rr.children(this._source.maxzoom)[0],kr=this.getTile(pr);if(kr&&kr.hasData()){pe[pr.key]=pr;continue}}else{var Ar=rr.children(this._source.maxzoom);if(pe[Ar[0].key]&&pe[Ar[1].key]&&pe[Ar[2].key]&&pe[Ar[3].key])continue}for(var gr=dr.wasRequested(),Cr=rr.overscaledZ-1;Cr>=Ie;--Cr){var cr=rr.scaledTo(Cr);if(de[cr.key]||(de[cr.key]=!0,dr=this.getTile(cr),!dr&&gr&&(dr=this._addTile(cr)),dr&&(pe[cr.key]=cr,gr=dr.wasRequested(),dr.hasData())))break}}}return pe},z.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var O in this._tiles){for(var $=[],pe=void 0,de=this._tiles[O].tileID;de.overscaledZ>0;){if(de.key in this._loadedParentTiles){pe=this._loadedParentTiles[de.key];break}$.push(de.key);var Ie=de.scaledTo(de.overscaledZ-1);if(pe=this._getLoadedTile(Ie),pe)break;de=Ie}for(var $e=0,pt=$;$e<pt.length;$e+=1){var Kt=pt[$e];this._loadedParentTiles[Kt]=pe}}},z.prototype._addTile=function(O){var $=this._tiles[O.key];if($)return $;$=this._cache.getAndRemove(O),$&&(this._setTileReloadTimer(O.key,$),$.tileID=O,this._state.initializeTileState($,this.map?this.map.painter:null),this._cacheTimers[O.key]&&(clearTimeout(this._cacheTimers[O.key]),delete this._cacheTimers[O.key],this._setTileReloadTimer(O.key,$)));var pe=!!$;return pe||($=new i.Tile(O,this._source.tileSize*O.overscaleFactor()),this._loadTile($,this._tileLoaded.bind(this,$,O.key,$.state))),$?($.uses++,this._tiles[O.key]=$,pe||this._source.fire(new i.Event(\"dataloading\",{tile:$,coord:$.tileID,dataType:\"source\"})),$):null},z.prototype._setTileReloadTimer=function(O,$){var pe=this;O in this._timers&&(clearTimeout(this._timers[O]),delete this._timers[O]);var de=$.getExpiryTimeout();de&&(this._timers[O]=setTimeout(function(){pe._reloadTile(O,\"expired\"),delete pe._timers[O]},de))},z.prototype._removeTile=function(O){var $=this._tiles[O];$&&($.uses--,delete this._tiles[O],this._timers[O]&&(clearTimeout(this._timers[O]),delete this._timers[O]),!($.uses>0)&&($.hasData()&&$.state!==\"reloading\"?this._cache.add($.tileID,$,$.getExpiryTimeout()):($.aborted=!0,this._abortTile($),this._unloadTile($))))},z.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var O in this._tiles)this._removeTile(O);this._cache.reset()},z.prototype.tilesIn=function(O,$,pe){var de=this,Ie=[],$e=this.transform;if(!$e)return Ie;for(var pt=pe?$e.getCameraQueryGeometry(O):O,Kt=O.map(function(Cr){return $e.pointCoordinate(Cr)}),ir=pt.map(function(Cr){return $e.pointCoordinate(Cr)}),Jt=this.getIds(),vt=1/0,Pt=1/0,Wt=-1/0,rr=-1/0,dr=0,pr=ir;dr<pr.length;dr+=1){var kr=pr[dr];vt=Math.min(vt,kr.x),Pt=Math.min(Pt,kr.y),Wt=Math.max(Wt,kr.x),rr=Math.max(rr,kr.y)}for(var Ar=function(Cr){var cr=de._tiles[Jt[Cr]];if(!cr.holdingForFade()){var Gr=cr.tileID,ei=Math.pow(2,$e.zoom-cr.tileID.overscaledZ),yi=$*cr.queryPadding*i.EXTENT/cr.tileSize/ei,tn=[Gr.getTilePoint(new i.MercatorCoordinate(vt,Pt)),Gr.getTilePoint(new i.MercatorCoordinate(Wt,rr))];if(tn[0].x-yi<i.EXTENT&&tn[0].y-yi<i.EXTENT&&tn[1].x+yi>=0&&tn[1].y+yi>=0){var Ri=Kt.map(function(Qn){return Gr.getTilePoint(Qn)}),ln=ir.map(function(Qn){return Gr.getTilePoint(Qn)});Ie.push({tile:cr,tileID:Gr,queryGeometry:Ri,cameraQueryGeometry:ln,scale:ei})}}},gr=0;gr<Jt.length;gr++)Ar(gr);return Ie},z.prototype.getVisibleCoordinates=function(O){for(var $=this,pe=this.getRenderableIds(O).map(function(pt){return $._tiles[pt].tileID}),de=0,Ie=pe;de<Ie.length;de+=1){var $e=Ie[de];$e.posMatrix=this.transform.calculatePosMatrix($e.toUnwrapped())}return pe},z.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(gi(this._source.type))for(var O in this._tiles){var $=this._tiles[O];if($.fadeEndTime!==void 0&&$.fadeEndTime>=i.browser.now())return!0}return!1},z.prototype.setFeatureState=function(O,$,pe){O=O||\"_geojsonTileLayer\",this._state.updateState(O,$,pe)},z.prototype.removeFeatureState=function(O,$,pe){O=O||\"_geojsonTileLayer\",this._state.removeFeatureState(O,$,pe)},z.prototype.getFeatureState=function(O,$){return O=O||\"_geojsonTileLayer\",this._state.getState(O,$)},z.prototype.setDependencies=function(O,$,pe){var de=this._tiles[O];de&&de.setDependencies($,pe)},z.prototype.reloadTilesForDependencies=function(O,$){for(var pe in this._tiles){var de=this._tiles[pe];de.hasDependency(O,$)&&this._reloadTile(pe,\"reloading\")}this._cache.filter(function(Ie){return!Ie.hasDependency(O,$)})},z}(i.Evented);Zr.maxOverzooming=10,Zr.maxUnderzooming=3;function Vr(Y,z){var K=Math.abs(Y.wrap*2)-+(Y.wrap<0),O=Math.abs(z.wrap*2)-+(z.wrap<0);return Y.overscaledZ-z.overscaledZ||O-K||z.canonical.y-Y.canonical.y||z.canonical.x-Y.canonical.x}function gi(Y){return Y===\"raster\"||Y===\"image\"||Y===\"video\"}function Si(){return new i.window.Worker(ns.workerUrl)}var Mi=\"mapboxgl_preloaded_worker_pool\",Pi=function(){this.active={}};Pi.prototype.acquire=function(z){if(!this.workers)for(this.workers=[];this.workers.length<Pi.workerCount;)this.workers.push(new Si);return this.active[z]=!0,this.workers.slice()},Pi.prototype.release=function(z){delete this.active[z],this.numActive()===0&&(this.workers.forEach(function(K){K.terminate()}),this.workers=null)},Pi.prototype.isPreloaded=function(){return!!this.active[Mi]},Pi.prototype.numActive=function(){return Object.keys(this.active).length};var Gi=Math.floor(i.browser.hardwareConcurrency/2);Pi.workerCount=Math.max(Math.min(Gi,6),1);var Ki;function ka(){return Ki||(Ki=new Pi),Ki}function jn(){var Y=ka();Y.acquire(Mi)}function la(){var Y=Ki;Y&&(Y.isPreloaded()&&Y.numActive()===1?(Y.release(Mi),Ki=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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oa={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Sn(Y,z,K){K.push({command:oa.addSource,args:[Y,z[Y]]})}function Ha(Y,z,K){z.push({command:oa.removeSource,args:[Y]}),K[Y]=!0}function oo(Y,z,K,O){Ha(Y,K,O),Sn(Y,z,K)}function xn(Y,z,K){var O;for(O in Y[K])if(Y[K].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[K][O],z[K][O]))return!1;for(O in z[K])if(z[K].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[K][O],z[K][O]))return!1;return!0}function _t(Y,z,K,O){Y=Y||{},z=z||{};var $;for($ in Y)Y.hasOwnProperty($)&&(z.hasOwnProperty($)||Ha($,K,O));for($ in z)z.hasOwnProperty($)&&(Y.hasOwnProperty($)?i.deepEqual(Y[$],z[$])||(Y[$].type===\"geojson\"&&z[$].type===\"geojson\"&&xn(Y,z,$)?K.push({command:oa.setGeoJSONSourceData,args:[$,z[$].data]}):oo($,z,K,O)):Sn($,z,K))}function br(Y,z,K,O,$,pe){Y=Y||{},z=z||{};var de;for(de in Y)Y.hasOwnProperty(de)&&(i.deepEqual(Y[de],z[de])||K.push({command:pe,args:[O,de,z[de],$]}));for(de in z)!z.hasOwnProperty(de)||Y.hasOwnProperty(de)||i.deepEqual(Y[de],z[de])||K.push({command:pe,args:[O,de,z[de],$]})}function Hr(Y){return Y.id}function ti(Y,z){return Y[z.id]=z,Y}function zi(Y,z,K){Y=Y||[],z=z||[];var O=Y.map(Hr),$=z.map(Hr),pe=Y.reduce(ti,{}),de=z.reduce(ti,{}),Ie=O.slice(),$e=Object.create(null),pt,Kt,ir,Jt,vt,Pt,Wt;for(pt=0,Kt=0;pt<O.length;pt++)ir=O[pt],de.hasOwnProperty(ir)?Kt++:(K.push({command:oa.removeLayer,args:[ir]}),Ie.splice(Ie.indexOf(ir,Kt),1));for(pt=0,Kt=0;pt<$.length;pt++)ir=$[$.length-1-pt],Ie[Ie.length-1-pt]!==ir&&(pe.hasOwnProperty(ir)?(K.push({command:oa.removeLayer,args:[ir]}),Ie.splice(Ie.lastIndexOf(ir,Ie.length-Kt),1)):Kt++,Pt=Ie[Ie.length-pt],K.push({command:oa.addLayer,args:[de[ir],Pt]}),Ie.splice(Ie.length-pt,0,ir),$e[ir]=!0);for(pt=0;pt<$.length;pt++)if(ir=$[pt],Jt=pe[ir],vt=de[ir],!($e[ir]||i.deepEqual(Jt,vt))){if(!i.deepEqual(Jt.source,vt.source)||!i.deepEqual(Jt[\"source-layer\"],vt[\"source-layer\"])||!i.deepEqual(Jt.type,vt.type)){K.push({command:oa.removeLayer,args:[ir]}),Pt=Ie[Ie.lastIndexOf(ir)+1],K.push({command:oa.addLayer,args:[vt,Pt]});continue}br(Jt.layout,vt.layout,K,ir,null,oa.setLayoutProperty),br(Jt.paint,vt.paint,K,ir,null,oa.setPaintProperty),i.deepEqual(Jt.filter,vt.filter)||K.push({command:oa.setFilter,args:[ir,vt.filter]}),(!i.deepEqual(Jt.minzoom,vt.minzoom)||!i.deepEqual(Jt.maxzoom,vt.maxzoom))&&K.push({command:oa.setLayerZoomRange,args:[ir,vt.minzoom,vt.maxzoom]});for(Wt in Jt)Jt.hasOwnProperty(Wt)&&(Wt===\"layout\"||Wt===\"paint\"||Wt===\"filter\"||Wt===\"metadata\"||Wt===\"minzoom\"||Wt===\"maxzoom\"||(Wt.indexOf(\"paint.\")===0?br(Jt[Wt],vt[Wt],K,ir,Wt.slice(6),oa.setPaintProperty):i.deepEqual(Jt[Wt],vt[Wt])||K.push({command:oa.setLayerProperty,args:[ir,Wt,vt[Wt]]})));for(Wt in vt)!vt.hasOwnProperty(Wt)||Jt.hasOwnProperty(Wt)||Wt===\"layout\"||Wt===\"paint\"||Wt===\"filter\"||Wt===\"metadata\"||Wt===\"minzoom\"||Wt===\"maxzoom\"||(Wt.indexOf(\"paint.\")===0?br(Jt[Wt],vt[Wt],K,ir,Wt.slice(6),oa.setPaintProperty):i.deepEqual(Jt[Wt],vt[Wt])||K.push({command:oa.setLayerProperty,args:[ir,Wt,vt[Wt]]}))}}function Yi(Y,z){if(!Y)return[{command:oa.setStyle,args:[z]}];var K=[];try{if(!i.deepEqual(Y.version,z.version))return[{command:oa.setStyle,args:[z]}];i.deepEqual(Y.center,z.center)||K.push({command:oa.setCenter,args:[z.center]}),i.deepEqual(Y.zoom,z.zoom)||K.push({command:oa.setZoom,args:[z.zoom]}),i.deepEqual(Y.bearing,z.bearing)||K.push({command:oa.setBearing,args:[z.bearing]}),i.deepEqual(Y.pitch,z.pitch)||K.push({command:oa.setPitch,args:[z.pitch]}),i.deepEqual(Y.sprite,z.sprite)||K.push({command:oa.setSprite,args:[z.sprite]}),i.deepEqual(Y.glyphs,z.glyphs)||K.push({command:oa.setGlyphs,args:[z.glyphs]}),i.deepEqual(Y.transition,z.transition)||K.push({command:oa.setTransition,args:[z.transition]}),i.deepEqual(Y.light,z.light)||K.push({command:oa.setLight,args:[z.light]});var O={},$=[];_t(Y.sources,z.sources,$,O);var pe=[];Y.layers&&Y.layers.forEach(function(de){O[de.source]?K.push({command:oa.removeLayer,args:[de.id]}):pe.push(de)}),K=K.concat($),zi(pe,z.layers,K)}catch(de){console.warn(\"Unable to compute style diff:\",de),K=[{command:oa.setStyle,args:[z]}]}return K}var an=function(z,K){this.reset(z,K)};an.prototype.reset=function(z,K){this.points=z||[],this._distances=[0];for(var O=1;O<this.points.length;O++)this._distances[O]=this._distances[O-1]+this.points[O].dist(this.points[O-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(K||0,this.length*.5),this.paddedLength=this.length-this.padding*2},an.prototype.lerp=function(z){if(this.points.length===1)return this.points[0];z=i.clamp(z,0,1);for(var K=1,O=this._distances[K],$=z*this.paddedLength+this.padding;O<$&&K<this._distances.length;)O=this._distances[++K];var pe=K-1,de=this._distances[pe],Ie=O-de,$e=Ie>0?($-de)/Ie:0;return this.points[pe].mult(1-$e).add(this.points[K].mult($e))};var hi=function(z,K,O){var $=this.boxCells=[],pe=this.circleCells=[];this.xCellCount=Math.ceil(z/O),this.yCellCount=Math.ceil(K/O);for(var de=0;de<this.xCellCount*this.yCellCount;de++)$.push([]),pe.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=z,this.height=K,this.xScale=this.xCellCount/z,this.yScale=this.yCellCount/K,this.boxUid=0,this.circleUid=0};hi.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},hi.prototype.insert=function(z,K,O,$,pe){this._forEachCell(K,O,$,pe,this._insertBoxCell,this.boxUid++),this.boxKeys.push(z),this.bboxes.push(K),this.bboxes.push(O),this.bboxes.push($),this.bboxes.push(pe)},hi.prototype.insertCircle=function(z,K,O,$){this._forEachCell(K-$,O-$,K+$,O+$,this._insertCircleCell,this.circleUid++),this.circleKeys.push(z),this.circles.push(K),this.circles.push(O),this.circles.push($)},hi.prototype._insertBoxCell=function(z,K,O,$,pe,de){this.boxCells[pe].push(de)},hi.prototype._insertCircleCell=function(z,K,O,$,pe,de){this.circleCells[pe].push(de)},hi.prototype._query=function(z,K,O,$,pe,de){if(O<0||z>this.width||$<0||K>this.height)return pe?!1:[];var Ie=[];if(z<=0&&K<=0&&this.width<=O&&this.height<=$){if(pe)return!0;for(var $e=0;$e<this.boxKeys.length;$e++)Ie.push({key:this.boxKeys[$e],x1:this.bboxes[$e*4],y1:this.bboxes[$e*4+1],x2:this.bboxes[$e*4+2],y2:this.bboxes[$e*4+3]});for(var pt=0;pt<this.circleKeys.length;pt++){var Kt=this.circles[pt*3],ir=this.circles[pt*3+1],Jt=this.circles[pt*3+2];Ie.push({key:this.circleKeys[pt],x1:Kt-Jt,y1:ir-Jt,x2:Kt+Jt,y2:ir+Jt})}return de?Ie.filter(de):Ie}else{var vt={hitTest:pe,seenUids:{box:{},circle:{}}};return this._forEachCell(z,K,O,$,this._queryCell,Ie,vt,de),pe?Ie.length>0:Ie}},hi.prototype._queryCircle=function(z,K,O,$,pe){var de=z-O,Ie=z+O,$e=K-O,pt=K+O;if(Ie<0||de>this.width||pt<0||$e>this.height)return $?!1:[];var Kt=[],ir={hitTest:$,circle:{x:z,y:K,radius:O},seenUids:{box:{},circle:{}}};return this._forEachCell(de,$e,Ie,pt,this._queryCellCircle,Kt,ir,pe),$?Kt.length>0:Kt},hi.prototype.query=function(z,K,O,$,pe){return this._query(z,K,O,$,!1,pe)},hi.prototype.hitTest=function(z,K,O,$,pe){return this._query(z,K,O,$,!0,pe)},hi.prototype.hitTestCircle=function(z,K,O,$){return this._queryCircle(z,K,O,!0,$)},hi.prototype._queryCell=function(z,K,O,$,pe,de,Ie,$e){var pt=Ie.seenUids,Kt=this.boxCells[pe];if(Kt!==null)for(var ir=this.bboxes,Jt=0,vt=Kt;Jt<vt.length;Jt+=1){var Pt=vt[Jt];if(!pt.box[Pt]){pt.box[Pt]=!0;var Wt=Pt*4;if(z<=ir[Wt+2]&&K<=ir[Wt+3]&&O>=ir[Wt+0]&&$>=ir[Wt+1]&&(!$e||$e(this.boxKeys[Pt]))){if(Ie.hitTest)return de.push(!0),!0;de.push({key:this.boxKeys[Pt],x1:ir[Wt],y1:ir[Wt+1],x2:ir[Wt+2],y2:ir[Wt+3]})}}}var rr=this.circleCells[pe];if(rr!==null)for(var dr=this.circles,pr=0,kr=rr;pr<kr.length;pr+=1){var Ar=kr[pr];if(!pt.circle[Ar]){pt.circle[Ar]=!0;var gr=Ar*3;if(this._circleAndRectCollide(dr[gr],dr[gr+1],dr[gr+2],z,K,O,$)&&(!$e||$e(this.circleKeys[Ar]))){if(Ie.hitTest)return de.push(!0),!0;var Cr=dr[gr],cr=dr[gr+1],Gr=dr[gr+2];de.push({key:this.circleKeys[Ar],x1:Cr-Gr,y1:cr-Gr,x2:Cr+Gr,y2:cr+Gr})}}}},hi.prototype._queryCellCircle=function(z,K,O,$,pe,de,Ie,$e){var pt=Ie.circle,Kt=Ie.seenUids,ir=this.boxCells[pe];if(ir!==null)for(var Jt=this.bboxes,vt=0,Pt=ir;vt<Pt.length;vt+=1){var Wt=Pt[vt];if(!Kt.box[Wt]){Kt.box[Wt]=!0;var rr=Wt*4;if(this._circleAndRectCollide(pt.x,pt.y,pt.radius,Jt[rr+0],Jt[rr+1],Jt[rr+2],Jt[rr+3])&&(!$e||$e(this.boxKeys[Wt])))return de.push(!0),!0}}var dr=this.circleCells[pe];if(dr!==null)for(var pr=this.circles,kr=0,Ar=dr;kr<Ar.length;kr+=1){var gr=Ar[kr];if(!Kt.circle[gr]){Kt.circle[gr]=!0;var Cr=gr*3;if(this._circlesCollide(pr[Cr],pr[Cr+1],pr[Cr+2],pt.x,pt.y,pt.radius)&&(!$e||$e(this.circleKeys[gr])))return de.push(!0),!0}}},hi.prototype._forEachCell=function(z,K,O,$,pe,de,Ie,$e){for(var pt=this._convertToXCellCoord(z),Kt=this._convertToYCellCoord(K),ir=this._convertToXCellCoord(O),Jt=this._convertToYCellCoord($),vt=pt;vt<=ir;vt++)for(var Pt=Kt;Pt<=Jt;Pt++){var Wt=this.xCellCount*Pt+vt;if(pe.call(this,z,K,O,$,Wt,de,Ie,$e))return}},hi.prototype._convertToXCellCoord=function(z){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(z*this.xScale)))},hi.prototype._convertToYCellCoord=function(z){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(z*this.yScale)))},hi.prototype._circlesCollide=function(z,K,O,$,pe,de){var Ie=$-z,$e=pe-K,pt=O+de;return pt*pt>Ie*Ie+$e*$e},hi.prototype._circleAndRectCollide=function(z,K,O,$,pe,de,Ie){var $e=(de-$)/2,pt=Math.abs(z-($+$e));if(pt>$e+O)return!1;var Kt=(Ie-pe)/2,ir=Math.abs(K-(pe+Kt));if(ir>Kt+O)return!1;if(pt<=$e||ir<=Kt)return!0;var Jt=pt-$e,vt=ir-Kt;return Jt*Jt+vt*vt<=O*O};function Ji(Y,z,K,O,$){var pe=i.create();return z?(i.scale(pe,pe,[1/$,1/$,1]),K||i.rotateZ(pe,pe,O.angle)):i.multiply(pe,O.labelPlaneMatrix,Y),pe}function ua(Y,z,K,O,$){if(z){var pe=i.clone(Y);return i.scale(pe,pe,[$,$,1]),K||i.rotateZ(pe,pe,-O.angle),pe}else return O.glCoordMatrix}function Fn(Y,z){var K=[Y.x,Y.y,0,1];wl(K,K,z);var O=K[3];return{point:new i.Point(K[0]/O,K[1]/O),signedDistanceFromCamera:O}}function Sa(Y,z){return .5+.5*(Y/z)}function go(Y,z){var K=Y[0]/Y[3],O=Y[1]/Y[3],$=K>=-z[0]&&K<=z[0]&&O>=-z[1]&&O<=z[1];return $}function Oo(Y,z,K,O,$,pe,de,Ie){var $e=O?Y.textSizeData:Y.iconSizeData,pt=i.evaluateSizeForZoom($e,K.transform.zoom),Kt=[256/K.width*2+1,256/K.height*2+1],ir=O?Y.text.dynamicLayoutVertexArray:Y.icon.dynamicLayoutVertexArray;ir.clear();for(var Jt=Y.lineVertexArray,vt=O?Y.text.placedSymbolArray:Y.icon.placedSymbolArray,Pt=K.transform.width/K.transform.height,Wt=!1,rr=0;rr<vt.length;rr++){var dr=vt.get(rr);if(dr.hidden||dr.writingMode===i.WritingMode.vertical&&!Wt){Xs(dr.numGlyphs,ir);continue}Wt=!1;var pr=[dr.anchorX,dr.anchorY,0,1];if(i.transformMat4(pr,pr,z),!go(pr,Kt)){Xs(dr.numGlyphs,ir);continue}var kr=pr[3],Ar=Sa(K.transform.cameraToCenterDistance,kr),gr=i.evaluateSizeForFeature($e,pt,dr),Cr=de?gr/Ar:gr*Ar,cr=new i.Point(dr.anchorX,dr.anchorY),Gr=Fn(cr,$).point,ei={},yi=xo(dr,Cr,!1,Ie,z,$,pe,Y.glyphOffsetArray,Jt,ir,Gr,cr,ei,Pt);Wt=yi.useVertical,(yi.notEnoughRoom||Wt||yi.needsFlipping&&xo(dr,Cr,!0,Ie,z,$,pe,Y.glyphOffsetArray,Jt,ir,Gr,cr,ei,Pt).notEnoughRoom)&&Xs(dr.numGlyphs,ir)}O?Y.text.dynamicLayoutVertexBuffer.updateData(ir):Y.icon.dynamicLayoutVertexBuffer.updateData(ir)}function ho(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt){var ir=Ie.glyphStartIndex+Ie.numGlyphs,Jt=Ie.lineStartIndex,vt=Ie.lineStartIndex+Ie.lineLength,Pt=z.getoffsetX(Ie.glyphStartIndex),Wt=z.getoffsetX(ir-1),rr=ks(Y*Pt,K,O,$,pe,de,Ie.segment,Jt,vt,$e,pt,Kt);if(!rr)return null;var dr=ks(Y*Wt,K,O,$,pe,de,Ie.segment,Jt,vt,$e,pt,Kt);return dr?{first:rr,last:dr}:null}function Mo(Y,z,K,O){if(Y===i.WritingMode.horizontal){var $=Math.abs(K.y-z.y),pe=Math.abs(K.x-z.x)*O;if($>pe)return{useVertical:!0}}return(Y===i.WritingMode.vertical?z.y<K.y:z.x>K.x)?{needsFlipping:!0}:null}function xo(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt){var Pt=z/24,Wt=Y.lineOffsetX*Pt,rr=Y.lineOffsetY*Pt,dr;if(Y.numGlyphs>1){var pr=Y.glyphStartIndex+Y.numGlyphs,kr=Y.lineStartIndex,Ar=Y.lineStartIndex+Y.lineLength,gr=ho(Pt,Ie,Wt,rr,K,Kt,ir,Y,$e,pe,Jt);if(!gr)return{notEnoughRoom:!0};var Cr=Fn(gr.first.point,de).point,cr=Fn(gr.last.point,de).point;if(O&&!K){var Gr=Mo(Y.writingMode,Cr,cr,vt);if(Gr)return Gr}dr=[gr.first];for(var ei=Y.glyphStartIndex+1;ei<pr-1;ei++)dr.push(ks(Pt*Ie.getoffsetX(ei),Wt,rr,K,Kt,ir,Y.segment,kr,Ar,$e,pe,Jt));dr.push(gr.last)}else{if(O&&!K){var yi=Fn(ir,$).point,tn=Y.lineStartIndex+Y.segment+1,Ri=new i.Point($e.getx(tn),$e.gety(tn)),ln=Fn(Ri,$),Qn=ln.signedDistanceFromCamera>0?ln.point:zs(ir,Ri,yi,1,$),qn=Mo(Y.writingMode,yi,Qn,vt);if(qn)return qn}var rn=ks(Pt*Ie.getoffsetX(Y.glyphStartIndex),Wt,rr,K,Kt,ir,Y.segment,Y.lineStartIndex,Y.lineStartIndex+Y.lineLength,$e,pe,Jt);if(!rn)return{notEnoughRoom:!0};dr=[rn]}for(var bn=0,mn=dr;bn<mn.length;bn+=1){var Gn=mn[bn];i.addDynamicAttributes(pt,Gn.point,Gn.angle)}return{}}function zs(Y,z,K,O,$){var pe=Fn(Y.add(Y.sub(z)._unit()),$).point,de=K.sub(pe);return K.add(de._mult(O/de.mag()))}function ks(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt,ir){var Jt=O?Y-z:Y+z,vt=Jt>0?1:-1,Pt=0;O&&(vt*=-1,Pt=Math.PI),vt<0&&(Pt+=Math.PI);for(var Wt=vt>0?Ie+de:Ie+de+1,rr=$,dr=$,pr=0,kr=0,Ar=Math.abs(Jt),gr=[];pr+kr<=Ar;){if(Wt+=vt,Wt<Ie||Wt>=$e)return null;if(dr=rr,gr.push(rr),rr=ir[Wt],rr===void 0){var Cr=new i.Point(pt.getx(Wt),pt.gety(Wt)),cr=Fn(Cr,Kt);if(cr.signedDistanceFromCamera>0)rr=ir[Wt]=cr.point;else{var Gr=Wt-vt,ei=pr===0?pe:new i.Point(pt.getx(Gr),pt.gety(Gr));rr=zs(ei,Cr,dr,Ar-pr+1,Kt)}}pr+=kr,kr=dr.dist(rr)}var yi=(Ar-pr)/kr,tn=rr.sub(dr),Ri=tn.mult(yi)._add(dr);Ri._add(tn._unit()._perp()._mult(K*vt));var ln=Pt+Math.atan2(rr.y-dr.y,rr.x-dr.x);return gr.push(Ri),{point:Ri,angle:ln,path:gr}}var Zs=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Xs(Y,z){for(var K=0;K<Y;K++){var O=z.length;z.resize(O+4),z.float32.set(Zs,O*3)}}function wl(Y,z,K){var O=z[0],$=z[1];return Y[0]=K[0]*O+K[4]*$+K[12],Y[1]=K[1]*O+K[5]*$+K[13],Y[3]=K[3]*O+K[7]*$+K[15],Y}var os=100,cl=function(z,K,O){K===void 0&&(K=new hi(z.width+2*os,z.height+2*os,25)),O===void 0&&(O=new hi(z.width+2*os,z.height+2*os,25)),this.transform=z,this.grid=K,this.ignoredGrid=O,this.pitchfactor=Math.cos(z._pitch)*z.cameraToCenterDistance,this.screenRightBoundary=z.width+os,this.screenBottomBoundary=z.height+os,this.gridRightBoundary=z.width+2*os,this.gridBottomBoundary=z.height+2*os};cl.prototype.placeCollisionBox=function(z,K,O,$,pe){var de=this.projectAndGetPerspectiveRatio($,z.anchorPointX,z.anchorPointY),Ie=O*de.perspectiveRatio,$e=z.x1*Ie+de.point.x,pt=z.y1*Ie+de.point.y,Kt=z.x2*Ie+de.point.x,ir=z.y2*Ie+de.point.y;return!this.isInsideGrid($e,pt,Kt,ir)||!K&&this.grid.hitTest($e,pt,Kt,ir,pe)?{box:[],offscreen:!1}:{box:[$e,pt,Kt,ir],offscreen:this.isOffscreen($e,pt,Kt,ir)}},cl.prototype.placeCollisionCircles=function(z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt){var Pt=[],Wt=new i.Point(K.anchorX,K.anchorY),rr=Fn(Wt,de),dr=Sa(this.transform.cameraToCenterDistance,rr.signedDistanceFromCamera),pr=Kt?pe/dr:pe*dr,kr=pr/i.ONE_EM,Ar=Fn(Wt,Ie).point,gr={},Cr=K.lineOffsetX*kr,cr=K.lineOffsetY*kr,Gr=ho(kr,$,Cr,cr,!1,Ar,Wt,K,O,Ie,gr),ei=!1,yi=!1,tn=!0;if(Gr){for(var Ri=Jt*.5*dr+vt,ln=new i.Point(-os,-os),Qn=new i.Point(this.screenRightBoundary,this.screenBottomBoundary),qn=new an,rn=Gr.first,bn=Gr.last,mn=[],Gn=rn.path.length-1;Gn>=1;Gn--)mn.push(rn.path[Gn]);for(var da=1;da<bn.path.length;da++)mn.push(bn.path[da]);var No=Ri*2.5;if($e){var Do=mn.map(function(Cv){return Fn(Cv,$e)});Do.some(function(Cv){return Cv.signedDistanceFromCamera<=0})?mn=[]:mn=Do.map(function(Cv){return Cv.point})}var ps=[];if(mn.length>0){for(var fo=mn[0].clone(),as=mn[0].clone(),tl=1;tl<mn.length;tl++)fo.x=Math.min(fo.x,mn[tl].x),fo.y=Math.min(fo.y,mn[tl].y),as.x=Math.max(as.x,mn[tl].x),as.y=Math.max(as.y,mn[tl].y);fo.x>=ln.x&&as.x<=Qn.x&&fo.y>=ln.y&&as.y<=Qn.y?ps=[mn]:as.x<ln.x||fo.x>Qn.x||as.y<ln.y||fo.y>Qn.y?ps=[]:ps=i.clipLine([mn],ln.x,ln.y,Qn.x,Qn.y)}for(var zu=0,Mv=ps;zu<Mv.length;zu+=1){var Ev=Mv[zu];qn.reset(Ev,Ri*.25);var yd=0;qn.length<=.5*Ri?yd=1:yd=Math.ceil(qn.paddedLength/No)+1;for(var Yv=0;Yv<yd;Yv++){var cg=Yv/Math.max(yd-1,1),vp=qn.lerp(cg),_d=vp.x+os,pp=vp.y+os;Pt.push(_d,pp,Ri,0);var Nd=_d-Ri,xd=pp-Ri,kv=_d+Ri,Kv=pp+Ri;if(tn=tn&&this.isOffscreen(Nd,xd,kv,Kv),yi=yi||this.isInsideGrid(Nd,xd,kv,Kv),!z&&this.grid.hitTestCircle(_d,pp,Ri,ir)&&(ei=!0,!pt))return{circles:[],offscreen:!1,collisionDetected:ei}}}}return{circles:!pt&&ei||!yi?[]:Pt,offscreen:tn,collisionDetected:ei}},cl.prototype.queryRenderedSymbols=function(z){if(z.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};for(var K=[],O=1/0,$=1/0,pe=-1/0,de=-1/0,Ie=0,$e=z;Ie<$e.length;Ie+=1){var pt=$e[Ie],Kt=new i.Point(pt.x+os,pt.y+os);O=Math.min(O,Kt.x),$=Math.min($,Kt.y),pe=Math.max(pe,Kt.x),de=Math.max(de,Kt.y),K.push(Kt)}for(var ir=this.grid.query(O,$,pe,de).concat(this.ignoredGrid.query(O,$,pe,de)),Jt={},vt={},Pt=0,Wt=ir;Pt<Wt.length;Pt+=1){var rr=Wt[Pt],dr=rr.key;if(Jt[dr.bucketInstanceId]===void 0&&(Jt[dr.bucketInstanceId]={}),!Jt[dr.bucketInstanceId][dr.featureIndex]){var pr=[new i.Point(rr.x1,rr.y1),new i.Point(rr.x2,rr.y1),new i.Point(rr.x2,rr.y2),new i.Point(rr.x1,rr.y2)];i.polygonIntersectsPolygon(K,pr)&&(Jt[dr.bucketInstanceId][dr.featureIndex]=!0,vt[dr.bucketInstanceId]===void 0&&(vt[dr.bucketInstanceId]=[]),vt[dr.bucketInstanceId].push(dr.featureIndex))}}return vt},cl.prototype.insertCollisionBox=function(z,K,O,$,pe){var de=K?this.ignoredGrid:this.grid,Ie={bucketInstanceId:O,featureIndex:$,collisionGroupID:pe};de.insert(Ie,z[0],z[1],z[2],z[3])},cl.prototype.insertCollisionCircles=function(z,K,O,$,pe){for(var de=K?this.ignoredGrid:this.grid,Ie={bucketInstanceId:O,featureIndex:$,collisionGroupID:pe},$e=0;$e<z.length;$e+=4)de.insertCircle(Ie,z[$e],z[$e+1],z[$e+2])},cl.prototype.projectAndGetPerspectiveRatio=function(z,K,O){var $=[K,O,0,1];wl($,$,z);var pe=new i.Point(($[0]/$[3]+1)/2*this.transform.width+os,(-$[1]/$[3]+1)/2*this.transform.height+os);return{point:pe,perspectiveRatio:.5+.5*(this.transform.cameraToCenterDistance/$[3])}},cl.prototype.isOffscreen=function(z,K,O,$){return O<os||z>=this.screenRightBoundary||$<os||K>this.screenBottomBoundary},cl.prototype.isInsideGrid=function(z,K,O,$){return O>=0&&z<this.gridRightBoundary&&$>=0&&K<this.gridBottomBoundary},cl.prototype.getViewportMatrix=function(){var z=i.identity([]);return i.translate(z,z,[-os,-os,0]),z};function Cs(Y,z,K){return z*(i.EXTENT/(Y.tileSize*Math.pow(2,K-Y.tileID.overscaledZ)))}var ml=function(z,K,O,$){z?this.opacity=Math.max(0,Math.min(1,z.opacity+(z.placed?K:-K))):this.opacity=$&&O?1:0,this.placed=O};ml.prototype.isHidden=function(){return this.opacity===0&&!this.placed};var Ys=function(z,K,O,$,pe){this.text=new ml(z?z.text:null,K,O,pe),this.icon=new ml(z?z.icon:null,K,$,pe)};Ys.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var Hs=function(z,K,O){this.text=z,this.icon=K,this.skipFade=O},Eo=function(){this.invProjMatrix=i.create(),this.viewportMatrix=i.create(),this.circles=[]},fs=function(z,K,O,$,pe){this.bucketInstanceId=z,this.featureIndex=K,this.sourceLayerIndex=O,this.bucketIndex=$,this.tileID=pe},$l=function(z){this.crossSourceCollisions=z,this.maxGroupID=0,this.collisionGroups={}};$l.prototype.get=function(z){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[z]){var K=++this.maxGroupID;this.collisionGroups[z]={ID:K,predicate:function(O){return O.collisionGroupID===K}}}return this.collisionGroups[z]};function Hu(Y,z,K,O,$){var pe=i.getAnchorAlignment(Y),de=pe.horizontalAlign,Ie=pe.verticalAlign,$e=-(de-.5)*z,pt=-(Ie-.5)*K,Kt=i.evaluateVariableOffset(Y,O);return new i.Point($e+Kt[0]*$,pt+Kt[1]*$)}function fc(Y,z,K,O,$,pe){var de=Y.x1,Ie=Y.x2,$e=Y.y1,pt=Y.y2,Kt=Y.anchorPointX,ir=Y.anchorPointY,Jt=new i.Point(z,K);return O&&Jt._rotate($?pe:-pe),{x1:de+Jt.x,y1:$e+Jt.y,x2:Ie+Jt.x,y2:pt+Jt.y,anchorPointX:Kt,anchorPointY:ir}}var ms=function(z,K,O,$){this.transform=z.clone(),this.collisionIndex=new cl(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=K,this.retainedQueryData={},this.collisionGroups=new $l(O),this.collisionCircleArrays={},this.prevPlacement=$,$&&($.prevPlacement=void 0),this.placedOrientations={}};ms.prototype.getBucketParts=function(z,K,O,$){var pe=O.getBucket(K),de=O.latestFeatureIndex;if(!(!pe||!de||K.id!==pe.layerIds[0])){var Ie=O.collisionBoxArray,$e=pe.layers[0].layout,pt=Math.pow(2,this.transform.zoom-O.tileID.overscaledZ),Kt=O.tileSize/i.EXTENT,ir=this.transform.calculatePosMatrix(O.tileID.toUnwrapped()),Jt=$e.get(\"text-pitch-alignment\")===\"map\",vt=$e.get(\"text-rotation-alignment\")===\"map\",Pt=Cs(O,1,this.transform.zoom),Wt=Ji(ir,Jt,vt,this.transform,Pt),rr=null;if(Jt){var dr=ua(ir,Jt,vt,this.transform,Pt);rr=i.multiply([],this.transform.labelPlaneMatrix,dr)}this.retainedQueryData[pe.bucketInstanceId]=new fs(pe.bucketInstanceId,de,pe.sourceLayerIndex,pe.index,O.tileID);var pr={bucket:pe,layout:$e,posMatrix:ir,textLabelPlaneMatrix:Wt,labelToScreenMatrix:rr,scale:pt,textPixelRatio:Kt,holdingForFade:O.holdingForFade(),collisionBoxArray:Ie,partiallyEvaluatedTextSize:i.evaluateSizeForZoom(pe.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(pe.sourceID)};if($)for(var kr=0,Ar=pe.sortKeyRanges;kr<Ar.length;kr+=1){var gr=Ar[kr],Cr=gr.sortKey,cr=gr.symbolInstanceStart,Gr=gr.symbolInstanceEnd;z.push({sortKey:Cr,symbolInstanceStart:cr,symbolInstanceEnd:Gr,parameters:pr})}else z.push({symbolInstanceStart:0,symbolInstanceEnd:pe.symbolInstances.length,parameters:pr})}},ms.prototype.attemptAnchorPlacement=function(z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt,Pt,Wt){var rr=[Jt.textOffset0,Jt.textOffset1],dr=Hu(z,O,$,rr,pe),pr=this.collisionIndex.placeCollisionBox(fc(K,dr.x,dr.y,de,Ie,this.transform.angle),ir,$e,pt,Kt.predicate);if(Wt){var kr=this.collisionIndex.placeCollisionBox(fc(Wt,dr.x,dr.y,de,Ie,this.transform.angle),ir,$e,pt,Kt.predicate);if(kr.box.length===0)return}if(pr.box.length>0){var Ar;return this.prevPlacement&&this.prevPlacement.variableOffsets[Jt.crossTileID]&&this.prevPlacement.placements[Jt.crossTileID]&&this.prevPlacement.placements[Jt.crossTileID].text&&(Ar=this.prevPlacement.variableOffsets[Jt.crossTileID].anchor),this.variableOffsets[Jt.crossTileID]={textOffset:rr,width:O,height:$,anchor:z,textBoxScale:pe,prevAnchor:Ar},this.markUsedJustification(vt,z,Jt,Pt),vt.allowVerticalPlacement&&(this.markUsedOrientation(vt,Pt,Jt),this.placedOrientations[Jt.crossTileID]=Pt),{shift:dr,placedGlyphBoxes:pr}}},ms.prototype.placeLayerBucketPart=function(z,K,O){var $=this,pe=z.parameters,de=pe.bucket,Ie=pe.layout,$e=pe.posMatrix,pt=pe.textLabelPlaneMatrix,Kt=pe.labelToScreenMatrix,ir=pe.textPixelRatio,Jt=pe.holdingForFade,vt=pe.collisionBoxArray,Pt=pe.partiallyEvaluatedTextSize,Wt=pe.collisionGroup,rr=Ie.get(\"text-optional\"),dr=Ie.get(\"icon-optional\"),pr=Ie.get(\"text-allow-overlap\"),kr=Ie.get(\"icon-allow-overlap\"),Ar=Ie.get(\"text-rotation-alignment\")===\"map\",gr=Ie.get(\"text-pitch-alignment\")===\"map\",Cr=Ie.get(\"icon-text-fit\")!==\"none\",cr=Ie.get(\"symbol-z-order\")===\"viewport-y\",Gr=pr&&(kr||!de.hasIconData()||dr),ei=kr&&(pr||!de.hasTextData()||rr);!de.collisionArrays&&vt&&de.deserializeCollisionBoxes(vt);var yi=function(rn,bn){if(!K[rn.crossTileID]){if(Jt){$.placements[rn.crossTileID]=new Hs(!1,!1,!1);return}var mn=!1,Gn=!1,da=!0,No=null,Do={box:null,offscreen:null},ps={box:null,offscreen:null},fo=null,as=null,tl=null,zu=0,Mv=0,Ev=0;bn.textFeatureIndex?zu=bn.textFeatureIndex:rn.useRuntimeCollisionCircles&&(zu=rn.featureIndex),bn.verticalTextFeatureIndex&&(Mv=bn.verticalTextFeatureIndex);var yd=bn.textBox;if(yd){var Yv=function(Fu){var kl=i.WritingMode.horizontal;if(de.allowVerticalPlacement&&!Fu&&$.prevPlacement){var bd=$.prevPlacement.placedOrientations[rn.crossTileID];bd&&($.placedOrientations[rn.crossTileID]=bd,kl=bd,$.markUsedOrientation(de,kl,rn))}return kl},cg=function(Fu,kl){if(de.allowVerticalPlacement&&rn.numVerticalGlyphVertices>0&&bn.verticalTextBox)for(var bd=0,sy=de.writingModes;bd<sy.length;bd+=1){var A1=sy[bd];if(A1===i.WritingMode.vertical?(Do=kl(),ps=Do):Do=Fu(),Do&&Do.box&&Do.box.length)break}else Do=Fu()};if(Ie.get(\"text-variable-anchor\")){var Nd=Ie.get(\"text-variable-anchor\");if($.prevPlacement&&$.prevPlacement.variableOffsets[rn.crossTileID]){var xd=$.prevPlacement.variableOffsets[rn.crossTileID];Nd.indexOf(xd.anchor)>0&&(Nd=Nd.filter(function(Fu){return Fu!==xd.anchor}),Nd.unshift(xd.anchor))}var kv=function(Fu,kl,bd){for(var sy=Fu.x2-Fu.x1,A1=Fu.y2-Fu.y1,Yl=rn.textBoxScale,Bx=Cr&&!kr?kl:null,am={box:[],offscreen:!1},Mw=pr?Nd.length*2:Nd.length,Lv=0;Lv<Mw;++Lv){var om=Nd[Lv%Nd.length],Ew=Lv>=Nd.length,Nx=$.attemptAnchorPlacement(om,Fu,sy,A1,Yl,Ar,gr,ir,$e,Wt,Ew,rn,de,bd,Bx);if(Nx&&(am=Nx.placedGlyphBoxes,am&&am.box&&am.box.length)){mn=!0,No=Nx.shift;break}}return am},Kv=function(){return kv(yd,bn.iconBox,i.WritingMode.horizontal)},Cv=function(){var Fu=bn.verticalTextBox,kl=Do&&Do.box&&Do.box.length;return de.allowVerticalPlacement&&!kl&&rn.numVerticalGlyphVertices>0&&Fu?kv(Fu,bn.verticalIconBox,i.WritingMode.vertical):{box:null,offscreen:null}};cg(Kv,Cv),Do&&(mn=Do.box,da=Do.offscreen);var ny=Yv(Do&&Do.box);if(!mn&&$.prevPlacement){var fg=$.prevPlacement.variableOffsets[rn.crossTileID];fg&&($.variableOffsets[rn.crossTileID]=fg,$.markUsedJustification(de,fg.anchor,rn,ny))}}else{var vp=function(Fu,kl){var bd=$.collisionIndex.placeCollisionBox(Fu,pr,ir,$e,Wt.predicate);return bd&&bd.box&&bd.box.length&&($.markUsedOrientation(de,kl,rn),$.placedOrientations[rn.crossTileID]=kl),bd},_d=function(){return vp(yd,i.WritingMode.horizontal)},pp=function(){var Fu=bn.verticalTextBox;return de.allowVerticalPlacement&&rn.numVerticalGlyphVertices>0&&Fu?vp(Fu,i.WritingMode.vertical):{box:null,offscreen:null}};cg(_d,pp),Yv(Do&&Do.box&&Do.box.length)}}if(fo=Do,mn=fo&&fo.box&&fo.box.length>0,da=fo&&fo.offscreen,rn.useRuntimeCollisionCircles){var Hf=de.text.placedSymbolArray.get(rn.centerJustifiedTextSymbolIndex),hg=i.evaluateSizeForFeature(de.textSizeData,Pt,Hf),ay=Ie.get(\"text-padding\"),Rh=rn.collisionCircleDiameter;as=$.collisionIndex.placeCollisionCircles(pr,Hf,de.lineVertexArray,de.glyphOffsetArray,hg,$e,pt,Kt,O,gr,Wt.predicate,Rh,ay),mn=pr||as.circles.length>0&&!as.collisionDetected,da=da&&as.offscreen}if(bn.iconFeatureIndex&&(Ev=bn.iconFeatureIndex),bn.iconBox){var rm=function(Fu){var kl=Cr&&No?fc(Fu,No.x,No.y,Ar,gr,$.transform.angle):Fu;return $.collisionIndex.placeCollisionBox(kl,kr,ir,$e,Wt.predicate)};ps&&ps.box&&ps.box.length&&bn.verticalIconBox?(tl=rm(bn.verticalIconBox),Gn=tl.box.length>0):(tl=rm(bn.iconBox),Gn=tl.box.length>0),da=da&&tl.offscreen}var w1=rr||rn.numHorizontalGlyphVertices===0&&rn.numVerticalGlyphVertices===0,T1=dr||rn.numIconVertices===0;if(!w1&&!T1?Gn=mn=Gn&&mn:T1?w1||(Gn=Gn&&mn):mn=Gn&&mn,mn&&fo&&fo.box&&(ps&&ps.box&&Mv?$.collisionIndex.insertCollisionBox(fo.box,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,Mv,Wt.ID):$.collisionIndex.insertCollisionBox(fo.box,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,zu,Wt.ID)),Gn&&tl&&$.collisionIndex.insertCollisionBox(tl.box,Ie.get(\"icon-ignore-placement\"),de.bucketInstanceId,Ev,Wt.ID),as&&(mn&&$.collisionIndex.insertCollisionCircles(as.circles,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,zu,Wt.ID),O)){var oy=de.bucketInstanceId,im=$.collisionCircleArrays[oy];im===void 0&&(im=$.collisionCircleArrays[oy]=new Eo);for(var nm=0;nm<as.circles.length;nm+=4)im.circles.push(as.circles[nm+0]),im.circles.push(as.circles[nm+1]),im.circles.push(as.circles[nm+2]),im.circles.push(as.collisionDetected?1:0)}$.placements[rn.crossTileID]=new Hs(mn||Gr,Gn||ei,da||de.justReloaded),K[rn.crossTileID]=!0}};if(cr)for(var tn=de.getSortedSymbolIndexes(this.transform.angle),Ri=tn.length-1;Ri>=0;--Ri){var ln=tn[Ri];yi(de.symbolInstances.get(ln),de.collisionArrays[ln])}else for(var Qn=z.symbolInstanceStart;Qn<z.symbolInstanceEnd;Qn++)yi(de.symbolInstances.get(Qn),de.collisionArrays[Qn]);if(O&&de.bucketInstanceId in this.collisionCircleArrays){var qn=this.collisionCircleArrays[de.bucketInstanceId];i.invert(qn.invProjMatrix,$e),qn.viewportMatrix=this.collisionIndex.getViewportMatrix()}de.justReloaded=!1},ms.prototype.markUsedJustification=function(z,K,O,$){var pe={left:O.leftJustifiedTextSymbolIndex,center:O.centerJustifiedTextSymbolIndex,right:O.rightJustifiedTextSymbolIndex},de;$===i.WritingMode.vertical?de=O.verticalPlacedTextSymbolIndex:de=pe[i.getAnchorJustification(K)];for(var Ie=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex,O.verticalPlacedTextSymbolIndex],$e=0,pt=Ie;$e<pt.length;$e+=1){var Kt=pt[$e];Kt>=0&&(de>=0&&Kt!==de?z.text.placedSymbolArray.get(Kt).crossTileID=0:z.text.placedSymbolArray.get(Kt).crossTileID=O.crossTileID)}},ms.prototype.markUsedOrientation=function(z,K,O){for(var $=K===i.WritingMode.horizontal||K===i.WritingMode.horizontalOnly?K:0,pe=K===i.WritingMode.vertical?K:0,de=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex],Ie=0,$e=de;Ie<$e.length;Ie+=1){var pt=$e[Ie];z.text.placedSymbolArray.get(pt).placedOrientation=$}O.verticalPlacedTextSymbolIndex&&(z.text.placedSymbolArray.get(O.verticalPlacedTextSymbolIndex).placedOrientation=pe)},ms.prototype.commit=function(z){this.commitTime=z,this.zoomAtLastRecencyCheck=this.transform.zoom;var K=this.prevPlacement,O=!1;this.prevZoomAdjustment=K?K.zoomAdjustment(this.transform.zoom):0;var $=K?K.symbolFadeChange(z):1,pe=K?K.opacities:{},de=K?K.variableOffsets:{},Ie=K?K.placedOrientations:{};for(var $e in this.placements){var pt=this.placements[$e],Kt=pe[$e];Kt?(this.opacities[$e]=new Ys(Kt,$,pt.text,pt.icon),O=O||pt.text!==Kt.text.placed||pt.icon!==Kt.icon.placed):(this.opacities[$e]=new Ys(null,$,pt.text,pt.icon,pt.skipFade),O=O||pt.text||pt.icon)}for(var ir in pe){var Jt=pe[ir];if(!this.opacities[ir]){var vt=new Ys(Jt,$,!1,!1);vt.isHidden()||(this.opacities[ir]=vt,O=O||Jt.text.placed||Jt.icon.placed)}}for(var Pt in de)!this.variableOffsets[Pt]&&this.opacities[Pt]&&!this.opacities[Pt].isHidden()&&(this.variableOffsets[Pt]=de[Pt]);for(var Wt in Ie)!this.placedOrientations[Wt]&&this.opacities[Wt]&&!this.opacities[Wt].isHidden()&&(this.placedOrientations[Wt]=Ie[Wt]);O?this.lastPlacementChangeTime=z:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=K?K.lastPlacementChangeTime:z)},ms.prototype.updateLayerOpacities=function(z,K){for(var O={},$=0,pe=K;$<pe.length;$+=1){var de=pe[$],Ie=de.getBucket(z);Ie&&de.latestFeatureIndex&&z.id===Ie.layerIds[0]&&this.updateBucketOpacities(Ie,O,de.collisionBoxArray)}},ms.prototype.updateBucketOpacities=function(z,K,O){var $=this;z.hasTextData()&&z.text.opacityVertexArray.clear(),z.hasIconData()&&z.icon.opacityVertexArray.clear(),z.hasIconCollisionBoxData()&&z.iconCollisionBox.collisionVertexArray.clear(),z.hasTextCollisionBoxData()&&z.textCollisionBox.collisionVertexArray.clear();var pe=z.layers[0].layout,de=new Ys(null,0,!1,!1,!0),Ie=pe.get(\"text-allow-overlap\"),$e=pe.get(\"icon-allow-overlap\"),pt=pe.get(\"text-variable-anchor\"),Kt=pe.get(\"text-rotation-alignment\")===\"map\",ir=pe.get(\"text-pitch-alignment\")===\"map\",Jt=pe.get(\"icon-text-fit\")!==\"none\",vt=new Ys(null,0,Ie&&($e||!z.hasIconData()||pe.get(\"icon-optional\")),$e&&(Ie||!z.hasTextData()||pe.get(\"text-optional\")),!0);!z.collisionArrays&&O&&(z.hasIconCollisionBoxData()||z.hasTextCollisionBoxData())&&z.deserializeCollisionBoxes(O);for(var Pt=function(pr,kr,Ar){for(var gr=0;gr<kr/4;gr++)pr.opacityVertexArray.emplaceBack(Ar)},Wt=function(pr){var kr=z.symbolInstances.get(pr),Ar=kr.numHorizontalGlyphVertices,gr=kr.numVerticalGlyphVertices,Cr=kr.crossTileID,cr=K[Cr],Gr=$.opacities[Cr];cr?Gr=de:Gr||(Gr=vt,$.opacities[Cr]=Gr),K[Cr]=!0;var ei=Ar>0||gr>0,yi=kr.numIconVertices>0,tn=$.placedOrientations[kr.crossTileID],Ri=tn===i.WritingMode.vertical,ln=tn===i.WritingMode.horizontal||tn===i.WritingMode.horizontalOnly;if(ei){var Qn=Ec(Gr.text),qn=Ri?Zn:Qn;Pt(z.text,Ar,qn);var rn=ln?Zn:Qn;Pt(z.text,gr,rn);var bn=Gr.text.isHidden();[kr.rightJustifiedTextSymbolIndex,kr.centerJustifiedTextSymbolIndex,kr.leftJustifiedTextSymbolIndex].forEach(function(Ev){Ev>=0&&(z.text.placedSymbolArray.get(Ev).hidden=bn||Ri?1:0)}),kr.verticalPlacedTextSymbolIndex>=0&&(z.text.placedSymbolArray.get(kr.verticalPlacedTextSymbolIndex).hidden=bn||ln?1:0);var mn=$.variableOffsets[kr.crossTileID];mn&&$.markUsedJustification(z,mn.anchor,kr,tn);var Gn=$.placedOrientations[kr.crossTileID];Gn&&($.markUsedJustification(z,\"left\",kr,Gn),$.markUsedOrientation(z,Gn,kr))}if(yi){var da=Ec(Gr.icon),No=!(Jt&&kr.verticalPlacedIconSymbolIndex&&Ri);if(kr.placedIconSymbolIndex>=0){var Do=No?da:Zn;Pt(z.icon,kr.numIconVertices,Do),z.icon.placedSymbolArray.get(kr.placedIconSymbolIndex).hidden=Gr.icon.isHidden()}if(kr.verticalPlacedIconSymbolIndex>=0){var ps=No?Zn:da;Pt(z.icon,kr.numVerticalIconVertices,ps),z.icon.placedSymbolArray.get(kr.verticalPlacedIconSymbolIndex).hidden=Gr.icon.isHidden()}}if(z.hasIconCollisionBoxData()||z.hasTextCollisionBoxData()){var fo=z.collisionArrays[pr];if(fo){var as=new i.Point(0,0);if(fo.textBox||fo.verticalTextBox){var tl=!0;if(pt){var zu=$.variableOffsets[Cr];zu?(as=Hu(zu.anchor,zu.width,zu.height,zu.textOffset,zu.textBoxScale),Kt&&as._rotate(ir?$.transform.angle:-$.transform.angle)):tl=!1}fo.textBox&&on(z.textCollisionBox.collisionVertexArray,Gr.text.placed,!tl||Ri,as.x,as.y),fo.verticalTextBox&&on(z.textCollisionBox.collisionVertexArray,Gr.text.placed,!tl||ln,as.x,as.y)}var Mv=!!(!ln&&fo.verticalIconBox);fo.iconBox&&on(z.iconCollisionBox.collisionVertexArray,Gr.icon.placed,Mv,Jt?as.x:0,Jt?as.y:0),fo.verticalIconBox&&on(z.iconCollisionBox.collisionVertexArray,Gr.icon.placed,!Mv,Jt?as.x:0,Jt?as.y:0)}}},rr=0;rr<z.symbolInstances.length;rr++)Wt(rr);if(z.sortFeatures(this.transform.angle),this.retainedQueryData[z.bucketInstanceId]&&(this.retainedQueryData[z.bucketInstanceId].featureSortOrder=z.featureSortOrder),z.hasTextData()&&z.text.opacityVertexBuffer&&z.text.opacityVertexBuffer.updateData(z.text.opacityVertexArray),z.hasIconData()&&z.icon.opacityVertexBuffer&&z.icon.opacityVertexBuffer.updateData(z.icon.opacityVertexArray),z.hasIconCollisionBoxData()&&z.iconCollisionBox.collisionVertexBuffer&&z.iconCollisionBox.collisionVertexBuffer.updateData(z.iconCollisionBox.collisionVertexArray),z.hasTextCollisionBoxData()&&z.textCollisionBox.collisionVertexBuffer&&z.textCollisionBox.collisionVertexBuffer.updateData(z.textCollisionBox.collisionVertexArray),z.bucketInstanceId in this.collisionCircleArrays){var dr=this.collisionCircleArrays[z.bucketInstanceId];z.placementInvProjMatrix=dr.invProjMatrix,z.placementViewportMatrix=dr.viewportMatrix,z.collisionCircleArray=dr.circles,delete this.collisionCircleArrays[z.bucketInstanceId]}},ms.prototype.symbolFadeChange=function(z){return this.fadeDuration===0?1:(z-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},ms.prototype.zoomAdjustment=function(z){return Math.max(0,(this.transform.zoom-z)/1.5)},ms.prototype.hasTransitions=function(z){return this.stale||z-this.lastPlacementChangeTime<this.fadeDuration},ms.prototype.stillRecent=function(z,K){var O=this.zoomAtLastRecencyCheck===K?1-this.zoomAdjustment(K):1;return this.zoomAtLastRecencyCheck=K,this.commitTime+this.fadeDuration*O>z},ms.prototype.setStale=function(){this.stale=!0};function on(Y,z,K,O,$){Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0)}var fa=Math.pow(2,25),Qu=Math.pow(2,24),Il=Math.pow(2,17),vo=Math.pow(2,16),Wl=Math.pow(2,9),Ks=Math.pow(2,8),Zl=Math.pow(2,1);function Ec(Y){if(Y.opacity===0&&!Y.placed)return 0;if(Y.opacity===1&&Y.placed)return 4294967295;var z=Y.placed?1:0,K=Math.floor(Y.opacity*127);return K*fa+z*Qu+K*Il+z*vo+K*Wl+z*Ks+K*Zl+z}var Zn=0,ko=function(z){this._sortAcrossTiles=z.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&z.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};ko.prototype.continuePlacement=function(z,K,O,$,pe){for(var de=this._bucketParts;this._currentTileIndex<z.length;){var Ie=z[this._currentTileIndex];if(K.getBucketParts(de,$,Ie,this._sortAcrossTiles),this._currentTileIndex++,pe())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,de.sort(function(pt,Kt){return pt.sortKey-Kt.sortKey}));this._currentPartIndex<de.length;){var $e=de[this._currentPartIndex];if(K.placeLayerBucketPart($e,this._seenCrossTileIDs,O),this._currentPartIndex++,pe())return!0}return!1};var Co=function(z,K,O,$,pe,de,Ie){this.placement=new ms(z,pe,de,Ie),this._currentPlacementIndex=K.length-1,this._forceFullPlacement=O,this._showCollisionBoxes=$,this._done=!1};Co.prototype.isDone=function(){return this._done},Co.prototype.continuePlacement=function(z,K,O){for(var $=this,pe=i.browser.now(),de=function(){var ir=i.browser.now()-pe;return $._forceFullPlacement?!1:ir>2};this._currentPlacementIndex>=0;){var Ie=z[this._currentPlacementIndex],$e=K[Ie],pt=this.placement.collisionIndex.transform.zoom;if($e.type===\"symbol\"&&(!$e.minzoom||$e.minzoom<=pt)&&(!$e.maxzoom||$e.maxzoom>pt)){this._inProgressLayer||(this._inProgressLayer=new ko($e));var Kt=this._inProgressLayer.continuePlacement(O[$e.source],this.placement,this._showCollisionBoxes,$e,de);if(Kt)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Co.prototype.commit=function(z){return this.placement.commit(z),this.placement};var Tl=512/i.EXTENT/2,uf=function(z,K,O){this.tileID=z,this.indexedSymbolInstances={},this.bucketInstanceId=O;for(var $=0;$<K.length;$++){var pe=K.get($),de=pe.key;this.indexedSymbolInstances[de]||(this.indexedSymbolInstances[de]=[]),this.indexedSymbolInstances[de].push({crossTileID:pe.crossTileID,coord:this.getScaledCoordinates(pe,z)})}};uf.prototype.getScaledCoordinates=function(z,K){var O=K.canonical.z-this.tileID.canonical.z,$=Tl/Math.pow(2,O);return{x:Math.floor((K.canonical.x*i.EXTENT+z.anchorX)*$),y:Math.floor((K.canonical.y*i.EXTENT+z.anchorY)*$)}},uf.prototype.findMatches=function(z,K,O){for(var $=this.tileID.canonical.z<K.canonical.z?1:Math.pow(2,this.tileID.canonical.z-K.canonical.z),pe=0;pe<z.length;pe++){var de=z.get(pe);if(!de.crossTileID){var Ie=this.indexedSymbolInstances[de.key];if(Ie)for(var $e=this.getScaledCoordinates(de,K),pt=0,Kt=Ie;pt<Kt.length;pt+=1){var ir=Kt[pt];if(Math.abs(ir.coord.x-$e.x)<=$&&Math.abs(ir.coord.y-$e.y)<=$&&!O[ir.crossTileID]){O[ir.crossTileID]=!0,de.crossTileID=ir.crossTileID;break}}}}};var So=function(){this.maxCrossTileID=0};So.prototype.generate=function(){return++this.maxCrossTileID};var cf=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};cf.prototype.handleWrapJump=function(z){var K=Math.round((z-this.lng)/360);if(K!==0)for(var O in this.indexes){var $=this.indexes[O],pe={};for(var de in $){var Ie=$[de];Ie.tileID=Ie.tileID.unwrapTo(Ie.tileID.wrap+K),pe[Ie.tileID.key]=Ie}this.indexes[O]=pe}this.lng=z},cf.prototype.addBucket=function(z,K,O){if(this.indexes[z.overscaledZ]&&this.indexes[z.overscaledZ][z.key]){if(this.indexes[z.overscaledZ][z.key].bucketInstanceId===K.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(z.overscaledZ,this.indexes[z.overscaledZ][z.key])}for(var $=0;$<K.symbolInstances.length;$++){var pe=K.symbolInstances.get($);pe.crossTileID=0}this.usedCrossTileIDs[z.overscaledZ]||(this.usedCrossTileIDs[z.overscaledZ]={});var de=this.usedCrossTileIDs[z.overscaledZ];for(var Ie in this.indexes){var $e=this.indexes[Ie];if(Number(Ie)>z.overscaledZ)for(var pt in $e){var Kt=$e[pt];Kt.tileID.isChildOf(z)&&Kt.findMatches(K.symbolInstances,z,de)}else{var ir=z.scaledTo(Number(Ie)),Jt=$e[ir.key];Jt&&Jt.findMatches(K.symbolInstances,z,de)}}for(var vt=0;vt<K.symbolInstances.length;vt++){var Pt=K.symbolInstances.get(vt);Pt.crossTileID||(Pt.crossTileID=O.generate(),de[Pt.crossTileID]=!0)}return this.indexes[z.overscaledZ]===void 0&&(this.indexes[z.overscaledZ]={}),this.indexes[z.overscaledZ][z.key]=new uf(z,K.symbolInstances,K.bucketInstanceId),!0},cf.prototype.removeBucketCrossTileIDs=function(z,K){for(var O in K.indexedSymbolInstances)for(var $=0,pe=K.indexedSymbolInstances[O];$<pe.length;$+=1){var de=pe[$];delete this.usedCrossTileIDs[z][de.crossTileID]}},cf.prototype.removeStaleBuckets=function(z){var K=!1;for(var O in this.indexes){var $=this.indexes[O];for(var pe in $)z[$[pe].bucketInstanceId]||(this.removeBucketCrossTileIDs(O,$[pe]),delete $[pe],K=!0)}return K};var rh=function(){this.layerIndexes={},this.crossTileIDs=new So,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};rh.prototype.addLayer=function(z,K,O){var $=this.layerIndexes[z.id];$===void 0&&($=this.layerIndexes[z.id]=new cf);var pe=!1,de={};$.handleWrapJump(O);for(var Ie=0,$e=K;Ie<$e.length;Ie+=1){var pt=$e[Ie],Kt=pt.getBucket(z);!Kt||z.id!==Kt.layerIds[0]||(Kt.bucketInstanceId||(Kt.bucketInstanceId=++this.maxBucketInstanceId),$.addBucket(pt.tileID,Kt,this.crossTileIDs)&&(pe=!0),de[Kt.bucketInstanceId]=!0)}return $.removeStaleBuckets(de)&&(pe=!0),pe},rh.prototype.pruneUnusedLayers=function(z){var K={};z.forEach(function($){K[$]=!0});for(var O in this.layerIndexes)K[O]||delete this.layerIndexes[O]};var Al=function(Y,z){return i.emitValidationErrors(Y,z&&z.filter(function(K){return K.identifier!==\"source.canvas\"}))},Hc=i.pick(oa,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ql=i.pick(oa,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ls=jo(),mu=function(Y){function z(K,O){var $=this;O===void 0&&(O={}),Y.call(this),this.map=K,this.dispatcher=new X(ka(),this),this.imageManager=new E,this.imageManager.setEventedParent(this),this.glyphManager=new P(K._requestManager,O.localIdeographFontFamily),this.lineAtlas=new H(256,512),this.crossTileSymbolIndex=new rh,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new i.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",i.getReferrer());var pe=this;this._rtlTextPluginCallback=z.registerForPluginStateChange(function(de){var Ie={pluginStatus:de.pluginStatus,pluginURL:de.pluginURL};pe.dispatcher.broadcast(\"syncRTLPluginState\",Ie,function($e,pt){if(i.triggerPluginCompletionEvent($e),pt){var Kt=pt.every(function(Jt){return Jt});if(Kt)for(var ir in pe.sourceCaches)pe.sourceCaches[ir].reload()}})}),this.on(\"data\",function(de){if(!(de.dataType!==\"source\"||de.sourceDataType!==\"metadata\")){var Ie=$.sourceCaches[de.sourceId];if(Ie){var $e=Ie.getSource();if(!(!$e||!$e.vectorLayerIds))for(var pt in $._layers){var Kt=$._layers[pt];Kt.source===$e.id&&$._validateLayer(Kt)}}}})}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.loadURL=function(O,$){var pe=this;$===void 0&&($={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"}));var de=typeof $.validate==\"boolean\"?$.validate:!i.isMapboxURL(O);O=this.map._requestManager.normalizeStyleURL(O,$.accessToken);var Ie=this.map._requestManager.transformRequest(O,i.ResourceType.Style);this._request=i.getJSON(Ie,function($e,pt){pe._request=null,$e?pe.fire(new i.ErrorEvent($e)):pt&&pe._load(pt,de)})},z.prototype.loadJSON=function(O,$){var pe=this;$===void 0&&($={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._request=i.browser.frame(function(){pe._request=null,pe._load(O,$.validate!==!1)})},z.prototype.loadEmpty=function(){this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ls,!1)},z.prototype._load=function(O,$){if(!($&&Al(this,i.validateStyle(O)))){this._loaded=!0,this.stylesheet=O;for(var pe in O.sources)this.addSource(pe,O.sources[pe],{validate:!1});O.sprite?this._loadSprite(O.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(O.glyphs);var de=Ra(this.stylesheet.layers);this._order=de.map(function(Kt){return Kt.id}),this._layers={},this._serializedLayers={};for(var Ie=0,$e=de;Ie<$e.length;Ie+=1){var pt=$e[Ie];pt=i.createStyleLayer(pt),pt.setEventedParent(this,{layer:{id:pt.id}}),this._layers[pt.id]=pt,this._serializedLayers[pt.id]=pt.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new i.Event(\"data\",{dataType:\"style\"})),this.fire(new i.Event(\"style.load\"))}},z.prototype._loadSprite=function(O){var $=this;this._spriteRequest=x(O,this.map._requestManager,function(pe,de){if($._spriteRequest=null,pe)$.fire(new i.ErrorEvent(pe));else if(de)for(var Ie in de)$.imageManager.addImage(Ie,de[Ie]);$.imageManager.setLoaded(!0),$._availableImages=$.imageManager.listImages(),$.dispatcher.broadcast(\"setImages\",$._availableImages),$.fire(new i.Event(\"data\",{dataType:\"style\"}))})},z.prototype._validateLayer=function(O){var $=this.sourceCaches[O.source];if($){var pe=O.sourceLayer;if(pe){var de=$.getSource();(de.type===\"geojson\"||de.vectorLayerIds&&de.vectorLayerIds.indexOf(pe)===-1)&&this.fire(new i.ErrorEvent(new Error('Source layer \"'+pe+'\" does not exist on source \"'+de.id+'\" as specified by style layer \"'+O.id+'\"')))}}},z.prototype.loaded=function(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(var O in this.sourceCaches)if(!this.sourceCaches[O].loaded())return!1;return!!this.imageManager.isLoaded()},z.prototype._serializeLayers=function(O){for(var $=[],pe=0,de=O;pe<de.length;pe+=1){var Ie=de[pe],$e=this._layers[Ie];$e.type!==\"custom\"&&$.push($e.serialize())}return $},z.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var O in this.sourceCaches)if(this.sourceCaches[O].hasTransition())return!0;for(var $ in this._layers)if(this._layers[$].hasTransition())return!0;return!1},z.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},z.prototype.update=function(O){if(this._loaded){var $=this._changed;if(this._changed){var pe=Object.keys(this._updatedLayers),de=Object.keys(this._removedLayers);(pe.length||de.length)&&this._updateWorkerLayers(pe,de);for(var Ie in this._updatedSources){var $e=this._updatedSources[Ie];$e===\"reload\"?this._reloadSource(Ie):$e===\"clear\"&&this._clearSource(Ie)}this._updateTilesForChangedImages();for(var pt in this._updatedPaintProps)this._layers[pt].updateTransitions(O);this.light.updateTransitions(O),this._resetUpdates()}var Kt={};for(var ir in this.sourceCaches){var Jt=this.sourceCaches[ir];Kt[ir]=Jt.used,Jt.used=!1}for(var vt=0,Pt=this._order;vt<Pt.length;vt+=1){var Wt=Pt[vt],rr=this._layers[Wt];rr.recalculate(O,this._availableImages),!rr.isHidden(O.zoom)&&rr.source&&(this.sourceCaches[rr.source].used=!0)}for(var dr in Kt){var pr=this.sourceCaches[dr];Kt[dr]!==pr.used&&pr.fire(new i.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:dr}))}this.light.recalculate(O),this.z=O.zoom,$&&this.fire(new i.Event(\"data\",{dataType:\"style\"}))}},z.prototype._updateTilesForChangedImages=function(){var O=Object.keys(this._changedImages);if(O.length){for(var $ in this.sourceCaches)this.sourceCaches[$].reloadTilesForDependencies([\"icons\",\"patterns\"],O);this._changedImages={}}},z.prototype._updateWorkerLayers=function(O,$){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(O),removedIds:$})},z.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},z.prototype.setState=function(O){var $=this;if(this._checkLoaded(),Al(this,i.validateStyle(O)))return!1;O=i.clone$1(O),O.layers=Ra(O.layers);var pe=Yi(this.serialize(),O).filter(function(Ie){return!(Ie.command in Ql)});if(pe.length===0)return!1;var de=pe.filter(function(Ie){return!(Ie.command in Hc)});if(de.length>0)throw new Error(\"Unimplemented: \"+de.map(function(Ie){return Ie.command}).join(\", \")+\".\");return pe.forEach(function(Ie){Ie.command!==\"setTransition\"&&$[Ie.command].apply($,Ie.args)}),this.stylesheet=O,!0},z.prototype.addImage=function(O,$){if(this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(O,$),this._afterImageUpdated(O)},z.prototype.updateImage=function(O,$){this.imageManager.updateImage(O,$)},z.prototype.getImage=function(O){return this.imageManager.getImage(O)},z.prototype.removeImage=function(O){if(!this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(O),this._afterImageUpdated(O)},z.prototype._afterImageUpdated=function(O){this._availableImages=this.imageManager.listImages(),this._changedImages[O]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new i.Event(\"data\",{dataType:\"style\"}))},z.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},z.prototype.addSource=function(O,$,pe){var de=this;if(pe===void 0&&(pe={}),this._checkLoaded(),this.sourceCaches[O]!==void 0)throw new Error(\"There is already a source with this ID\");if(!$.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys($).join(\", \")+\".\");var Ie=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],$e=Ie.indexOf($.type)>=0;if(!($e&&this._validate(i.validateStyle.source,\"sources.\"+O,$,null,pe))){this.map&&this.map._collectResourceTiming&&($.collectResourceTiming=!0);var pt=this.sourceCaches[O]=new Zr(O,$,this.dispatcher);pt.style=this,pt.setEventedParent(this,function(){return{isSourceLoaded:de.loaded(),source:pt.serialize(),sourceId:O}}),pt.onAdd(this.map),this._changed=!0}},z.prototype.removeSource=function(O){if(this._checkLoaded(),this.sourceCaches[O]===void 0)throw new Error(\"There is no source with this ID\");for(var $ in this._layers)if(this._layers[$].source===O)return this.fire(new i.ErrorEvent(new Error('Source \"'+O+'\" cannot be removed while layer \"'+$+'\" is using it.')));var pe=this.sourceCaches[O];delete this.sourceCaches[O],delete this._updatedSources[O],pe.fire(new i.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:O})),pe.setEventedParent(null),pe.clearTiles(),pe.onRemove&&pe.onRemove(this.map),this._changed=!0},z.prototype.setGeoJSONSourceData=function(O,$){this._checkLoaded();var pe=this.sourceCaches[O].getSource();pe.setData($),this._changed=!0},z.prototype.getSource=function(O){return this.sourceCaches[O]&&this.sourceCaches[O].getSource()},z.prototype.addLayer=function(O,$,pe){pe===void 0&&(pe={}),this._checkLoaded();var de=O.id;if(this.getLayer(de)){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+de+'\" already exists on this map')));return}var Ie;if(O.type===\"custom\"){if(Al(this,i.validateCustomStyleLayer(O)))return;Ie=i.createStyleLayer(O)}else{if(typeof O.source==\"object\"&&(this.addSource(de,O.source),O=i.clone$1(O),O=i.extend(O,{source:de})),this._validate(i.validateStyle.layer,\"layers.\"+de,O,{arrayIndex:-1},pe))return;Ie=i.createStyleLayer(O),this._validateLayer(Ie),Ie.setEventedParent(this,{layer:{id:de}}),this._serializedLayers[Ie.id]=Ie.serialize()}var $e=$?this._order.indexOf($):this._order.length;if($&&$e===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+$+'\" does not exist on this map.')));return}if(this._order.splice($e,0,de),this._layerOrderChanged=!0,this._layers[de]=Ie,this._removedLayers[de]&&Ie.source&&Ie.type!==\"custom\"){var pt=this._removedLayers[de];delete this._removedLayers[de],pt.type!==Ie.type?this._updatedSources[Ie.source]=\"clear\":(this._updatedSources[Ie.source]=\"reload\",this.sourceCaches[Ie.source].pause())}this._updateLayer(Ie),Ie.onAdd&&Ie.onAdd(this.map)},z.prototype.moveLayer=function(O,$){this._checkLoaded(),this._changed=!0;var pe=this._layers[O];if(!pe){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be moved.\")));return}if(O!==$){var de=this._order.indexOf(O);this._order.splice(de,1);var Ie=$?this._order.indexOf($):this._order.length;if($&&Ie===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+$+'\" does not exist on this map.')));return}this._order.splice(Ie,0,O),this._layerOrderChanged=!0}},z.prototype.removeLayer=function(O){this._checkLoaded();var $=this._layers[O];if(!$){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be removed.\")));return}$.setEventedParent(null);var pe=this._order.indexOf(O);this._order.splice(pe,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[O]=$,delete this._layers[O],delete this._serializedLayers[O],delete this._updatedLayers[O],delete this._updatedPaintProps[O],$.onRemove&&$.onRemove(this.map)},z.prototype.getLayer=function(O){return this._layers[O]},z.prototype.hasLayer=function(O){return O in this._layers},z.prototype.setLayerZoomRange=function(O,$,pe){this._checkLoaded();var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot have zoom extent.\")));return}de.minzoom===$&&de.maxzoom===pe||($!=null&&(de.minzoom=$),pe!=null&&(de.maxzoom=pe),this._updateLayer(de))},z.prototype.setFilter=function(O,$,pe){pe===void 0&&(pe={}),this._checkLoaded();var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!i.deepEqual(de.filter,$)){if($==null){de.filter=void 0,this._updateLayer(de);return}this._validate(i.validateStyle.filter,\"layers.\"+de.id+\".filter\",$,null,pe)||(de.filter=i.clone$1($),this._updateLayer(de))}},z.prototype.getFilter=function(O){return i.clone$1(this.getLayer(O).filter)},z.prototype.setLayoutProperty=function(O,$,pe,de){de===void 0&&(de={}),this._checkLoaded();var Ie=this.getLayer(O);if(!Ie){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}i.deepEqual(Ie.getLayoutProperty($),pe)||(Ie.setLayoutProperty($,pe,de),this._updateLayer(Ie))},z.prototype.getLayoutProperty=function(O,$){var pe=this.getLayer(O);if(!pe){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style.\")));return}return pe.getLayoutProperty($)},z.prototype.setPaintProperty=function(O,$,pe,de){de===void 0&&(de={}),this._checkLoaded();var Ie=this.getLayer(O);if(!Ie){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}if(!i.deepEqual(Ie.getPaintProperty($),pe)){var $e=Ie.setPaintProperty($,pe,de);$e&&this._updateLayer(Ie),this._changed=!0,this._updatedPaintProps[O]=!0}},z.prototype.getPaintProperty=function(O,$){return this.getLayer(O).getPaintProperty($)},z.prototype.setFeatureState=function(O,$){this._checkLoaded();var pe=O.source,de=O.sourceLayer,Ie=this.sourceCaches[pe];if(Ie===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+pe+\"' does not exist in the map's style.\")));return}var $e=Ie.getSource().type;if($e===\"geojson\"&&de){this.fire(new i.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if($e===\"vector\"&&!de){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),Ie.setFeatureState(de,O.id,$)},z.prototype.removeFeatureState=function(O,$){this._checkLoaded();var pe=O.source,de=this.sourceCaches[pe];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+pe+\"' does not exist in the map's style.\")));return}var Ie=de.getSource().type,$e=Ie===\"vector\"?O.sourceLayer:void 0;if(Ie===\"vector\"&&!$e){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if($&&typeof O.id!=\"string\"&&typeof O.id!=\"number\"){this.fire(new i.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}de.removeFeatureState($e,O.id,$)},z.prototype.getFeatureState=function(O){this._checkLoaded();var $=O.source,pe=O.sourceLayer,de=this.sourceCaches[$];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+$+\"' does not exist in the map's style.\")));return}var Ie=de.getSource().type;if(Ie===\"vector\"&&!pe){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),de.getFeatureState(pe,O.id)},z.prototype.getTransition=function(){return i.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},z.prototype.serialize=function(){return i.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:i.mapObject(this.sourceCaches,function(O){return O.serialize()}),layers:this._serializeLayers(this._order)},function(O){return O!==void 0})},z.prototype._updateLayer=function(O){this._updatedLayers[O.id]=!0,O.source&&!this._updatedSources[O.source]&&this.sourceCaches[O.source].getSource().type!==\"raster\"&&(this._updatedSources[O.source]=\"reload\",this.sourceCaches[O.source].pause()),this._changed=!0},z.prototype._flattenAndSortRenderedFeatures=function(O){for(var $=this,pe=function(ln){return $._layers[ln].type===\"fill-extrusion\"},de={},Ie=[],$e=this._order.length-1;$e>=0;$e--){var pt=this._order[$e];if(pe(pt)){de[pt]=$e;for(var Kt=0,ir=O;Kt<ir.length;Kt+=1){var Jt=ir[Kt],vt=Jt[pt];if(vt)for(var Pt=0,Wt=vt;Pt<Wt.length;Pt+=1){var rr=Wt[Pt];Ie.push(rr)}}}}Ie.sort(function(ln,Qn){return Qn.intersectionZ-ln.intersectionZ});for(var dr=[],pr=this._order.length-1;pr>=0;pr--){var kr=this._order[pr];if(pe(kr))for(var Ar=Ie.length-1;Ar>=0;Ar--){var gr=Ie[Ar].feature;if(de[gr.layer.id]<pr)break;dr.push(gr),Ie.pop()}else for(var Cr=0,cr=O;Cr<cr.length;Cr+=1){var Gr=cr[Cr],ei=Gr[kr];if(ei)for(var yi=0,tn=ei;yi<tn.length;yi+=1){var Ri=tn[yi];dr.push(Ri.feature)}}}return dr},z.prototype.queryRenderedFeatures=function(O,$,pe){$&&$.filter&&this._validate(i.validateStyle.filter,\"queryRenderedFeatures.filter\",$.filter,null,$);var de={};if($&&$.layers){if(!Array.isArray($.layers))return this.fire(new i.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var Ie=0,$e=$.layers;Ie<$e.length;Ie+=1){var pt=$e[Ie],Kt=this._layers[pt];if(!Kt)return this.fire(new i.ErrorEvent(new Error(\"The layer '\"+pt+\"' does not exist in the map's style and cannot be queried for features.\"))),[];de[Kt.source]=!0}}var ir=[];$.availableImages=this._availableImages;for(var Jt in this.sourceCaches)$.layers&&!de[Jt]||ir.push(ce(this.sourceCaches[Jt],this._layers,this._serializedLayers,O,$,pe));return this.placement&&ir.push(Ge(this._layers,this._serializedLayers,this.sourceCaches,O,$,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(ir)},z.prototype.querySourceFeatures=function(O,$){$&&$.filter&&this._validate(i.validateStyle.filter,\"querySourceFeatures.filter\",$.filter,null,$);var pe=this.sourceCaches[O];return pe?nt(pe,$):[]},z.prototype.addSourceType=function(O,$,pe){if(z.getSourceType(O))return pe(new Error('A source type called \"'+O+'\" already exists.'));if(z.setSourceType(O,$),!$.workerSourceURL)return pe(null,null);this.dispatcher.broadcast(\"loadWorkerSource\",{name:O,url:$.workerSourceURL},pe)},z.prototype.getLight=function(){return this.light.getLight()},z.prototype.setLight=function(O,$){$===void 0&&($={}),this._checkLoaded();var pe=this.light.getLight(),de=!1;for(var Ie in O)if(!i.deepEqual(O[Ie],pe[Ie])){de=!0;break}if(de){var $e={now:i.browser.now(),transition:i.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(O,$),this.light.updateTransitions($e)}},z.prototype._validate=function(O,$,pe,de,Ie){return Ie===void 0&&(Ie={}),Ie&&Ie.validate===!1?!1:Al(this,O.call(i.validateStyle,i.extend({key:$,style:this.serialize(),value:pe,styleSpec:i.styleSpec},de)))},z.prototype._remove=function(){this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),i.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback);for(var O in this._layers){var $=this._layers[O];$.setEventedParent(null)}for(var pe in this.sourceCaches)this.sourceCaches[pe].clearTiles(),this.sourceCaches[pe].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},z.prototype._clearSource=function(O){this.sourceCaches[O].clearTiles()},z.prototype._reloadSource=function(O){this.sourceCaches[O].resume(),this.sourceCaches[O].reload()},z.prototype._updateSources=function(O){for(var $ in this.sourceCaches)this.sourceCaches[$].update(O)},z.prototype._generateCollisionBoxes=function(){for(var O in this.sourceCaches)this._reloadSource(O)},z.prototype._updatePlacement=function(O,$,pe,de,Ie){Ie===void 0&&(Ie=!1);for(var $e=!1,pt=!1,Kt={},ir=0,Jt=this._order;ir<Jt.length;ir+=1){var vt=Jt[ir],Pt=this._layers[vt];if(Pt.type===\"symbol\"){if(!Kt[Pt.source]){var Wt=this.sourceCaches[Pt.source];Kt[Pt.source]=Wt.getRenderableIds(!0).map(function(Cr){return Wt.getTileByID(Cr)}).sort(function(Cr,cr){return cr.tileID.overscaledZ-Cr.tileID.overscaledZ||(Cr.tileID.isLessThan(cr.tileID)?-1:1)})}var rr=this.crossTileSymbolIndex.addLayer(Pt,Kt[Pt.source],O.center.lng);$e=$e||rr}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),Ie=Ie||this._layerOrderChanged||pe===0,(Ie||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(i.browser.now(),O.zoom))&&(this.pauseablePlacement=new Co(O,this._order,Ie,$,pe,de,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,Kt),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(i.browser.now()),pt=!0),$e&&this.pauseablePlacement.placement.setStale()),pt||$e)for(var dr=0,pr=this._order;dr<pr.length;dr+=1){var kr=pr[dr],Ar=this._layers[kr];Ar.type===\"symbol\"&&this.placement.updateLayerOpacities(Ar,Kt[Ar.source])}var gr=!this.pauseablePlacement.isDone()||this.placement.hasTransitions(i.browser.now());return gr},z.prototype._releaseSymbolFadeTiles=function(){for(var O in this.sourceCaches)this.sourceCaches[O].releaseSymbolFadeTiles()},z.prototype.getImages=function(O,$,pe){this.imageManager.getImages($.icons,pe),this._updateTilesForChangedImages();var de=this.sourceCaches[$.source];de&&de.setDependencies($.tileID.key,$.type,$.icons)},z.prototype.getGlyphs=function(O,$,pe){this.glyphManager.getGlyphs($.stacks,pe)},z.prototype.getResource=function(O,$,pe){return i.makeRequest($,pe)},z}(i.Evented);mu.getSourceType=ze,mu.setSourceType=Ce,mu.registerForPluginStateChange=i.registerForPluginStateChange;var kc=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Of=`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif`,Gc=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}`,vd=`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Bf=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",ss=`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ff=\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\",ih=`varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ul=`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`,Js=\"void main() {gl_FragColor=vec4(1.0);}\",hc=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Cc=`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ws=`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}`,$s=`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,hs=\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\",Ms=\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",dc=\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\",Sl=\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",ec=\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\",Ps=\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",ov=\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\",wo=`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Od=`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`,$o=`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ja=`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,Ef=`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,tc=`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,uu=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Mh=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`,jc=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,kf=`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`,Ml=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Yh=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`,Eh=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,nh=\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\",hf=`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,kh=\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\",Kh=`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,rc=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,ah=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Wc=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,df=`uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Cu=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`,Nf=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Zc=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`,ds=`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ch=\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\",Bd=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Jh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}`,Cf=`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,pd=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`,Lu=`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,$h=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`,eu=Is(Of,Gc),Pu=Is(vd,Bf),Lc=Is(ss,ff),fl=Is(ih,Ul),Xc=Is(Js,hc),ic=Is(Cc,ws),yu=Is($s,hs),Qs=Is(Ms,dc),Qh=Is(Sl,ec),gd=Is(Ps,ov),Gu=Is(wo,Od),Pc=Is($o,Ja),vc=Is(Ef,tc),sv=Is(uu,Mh),Lf=Is(jc,kf),Uf=Is(Ml,Yh),Iu=Is(Eh,nh),oh=Is(hf,kh),tu=Is(Kh,rc),vf=Is(ah,Wc),md=Is(df,Cu),sh=Is(Nf,Zc),Fs=Is(ds,Ch),_u=Is(Bd,Jh),xu=Is(Cf,pd),Lh=Is(Lu,$h);function Is(Y,z){var K=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,O=z.match(/attribute ([\\w]+) ([\\w]+)/g),$=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),pe=z.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),de=pe?pe.concat($):$,Ie={};return Y=Y.replace(K,function($e,pt,Kt,ir,Jt){return Ie[Jt]=!0,pt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "varying `+Kt+\" \"+ir+\" \"+Jt+`;\n",
+       "#else\n",
+       "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`}),z=z.replace(K,function($e,pt,Kt,ir,Jt){var vt=ir===\"float\"?\"vec2\":\"vec4\",Pt=Jt.match(/color/)?\"color\":vt;return Ie[Jt]?pt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "uniform lowp float u_`+Jt+`_t;\n",
+       "attribute `+Kt+\" \"+vt+\" a_\"+Jt+`;\n",
+       "varying `+Kt+\" \"+ir+\" \"+Jt+`;\n",
+       "#else\n",
+       "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:Pt===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Jt+\" = a_\"+Jt+`;\n",
+       "#else\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Jt+\" = unpack_mix_\"+Pt+\"(a_\"+Jt+\", u_\"+Jt+`_t);\n",
+       "#else\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:pt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "uniform lowp float u_`+Jt+`_t;\n",
+       "attribute `+Kt+\" \"+vt+\" a_\"+Jt+`;\n",
+       "#else\n",
+       "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:Pt===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = a_\"+Jt+`;\n",
+       "#else\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = unpack_mix_\"+Pt+\"(a_\"+Jt+\", u_\"+Jt+`_t);\n",
+       "#else\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`}),{fragmentSource:Y,vertexSource:z,staticAttributes:O,staticUniforms:de}}var Pf=Object.freeze({__proto__:null,prelude:eu,background:Pu,backgroundPattern:Lc,circle:fl,clippingMask:Xc,heatmap:ic,heatmapTexture:yu,collisionBox:Qs,collisionCircle:Qh,debug:gd,fill:Gu,fillOutline:Pc,fillOutlinePattern:vc,fillPattern:sv,fillExtrusion:Lf,fillExtrusionPattern:Uf,hillshadePrepare:Iu,hillshade:oh,line:tu,lineGradient:vf,linePattern:md,lineSDF:sh,raster:Fs,symbolIcon:_u,symbolSDF:xu,symbolTextAndIcon:Lh}),Ic=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Ic.prototype.bind=function(z,K,O,$,pe,de,Ie,$e){this.context=z;for(var pt=this.boundPaintVertexBuffers.length!==$.length,Kt=0;!pt&&Kt<$.length;Kt++)this.boundPaintVertexBuffers[Kt]!==$[Kt]&&(pt=!0);var ir=!this.vao||this.boundProgram!==K||this.boundLayoutVertexBuffer!==O||pt||this.boundIndexBuffer!==pe||this.boundVertexOffset!==de||this.boundDynamicVertexBuffer!==Ie||this.boundDynamicVertexBuffer2!==$e;!z.extVertexArrayObject||ir?this.freshBind(K,O,$,pe,de,Ie,$e):(z.bindVertexArrayOES.set(this.vao),Ie&&Ie.bind(),pe&&pe.dynamicDraw&&pe.bind(),$e&&$e.bind())},Ic.prototype.freshBind=function(z,K,O,$,pe,de,Ie){var $e,pt=z.numAttributes,Kt=this.context,ir=Kt.gl;if(Kt.extVertexArrayObject)this.vao&&this.destroy(),this.vao=Kt.extVertexArrayObject.createVertexArrayOES(),Kt.bindVertexArrayOES.set(this.vao),$e=0,this.boundProgram=z,this.boundLayoutVertexBuffer=K,this.boundPaintVertexBuffers=O,this.boundIndexBuffer=$,this.boundVertexOffset=pe,this.boundDynamicVertexBuffer=de,this.boundDynamicVertexBuffer2=Ie;else{$e=Kt.currentNumAttributes||0;for(var Jt=pt;Jt<$e;Jt++)ir.disableVertexAttribArray(Jt)}K.enableAttributes(ir,z);for(var vt=0,Pt=O;vt<Pt.length;vt+=1){var Wt=Pt[vt];Wt.enableAttributes(ir,z)}de&&de.enableAttributes(ir,z),Ie&&Ie.enableAttributes(ir,z),K.bind(),K.setVertexAttribPointers(ir,z,pe);for(var rr=0,dr=O;rr<dr.length;rr+=1){var pr=dr[rr];pr.bind(),pr.setVertexAttribPointers(ir,z,pe)}de&&(de.bind(),de.setVertexAttribPointers(ir,z,pe)),$&&$.bind(),Ie&&(Ie.bind(),Ie.setVertexAttribPointers(ir,z,pe)),Kt.currentNumAttributes=pt},Ic.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};function ju(Y){for(var z=[],K=0;K<Y.length;K++)if(Y[K]!==null){var O=Y[K].split(\" \");z.push(O.pop())}return z}var Vf=function(z,K,O,$,pe,de){var Ie=z.gl;this.program=Ie.createProgram();for(var $e=ju(O.staticAttributes),pt=$?$.getBinderAttributes():[],Kt=$e.concat(pt),ir=O.staticUniforms?ju(O.staticUniforms):[],Jt=$?$.getBinderUniforms():[],vt=ir.concat(Jt),Pt=[],Wt=0,rr=vt;Wt<rr.length;Wt+=1){var dr=rr[Wt];Pt.indexOf(dr)<0&&Pt.push(dr)}var pr=$?$.defines():[];de&&pr.push(\"#define OVERDRAW_INSPECTOR;\");var kr=pr.concat(eu.fragmentSource,O.fragmentSource).join(`\n",
+       "`),Ar=pr.concat(eu.vertexSource,O.vertexSource).join(`\n",
+       "`),gr=Ie.createShader(Ie.FRAGMENT_SHADER);if(Ie.isContextLost()){this.failedToCreate=!0;return}Ie.shaderSource(gr,kr),Ie.compileShader(gr),Ie.attachShader(this.program,gr);var Cr=Ie.createShader(Ie.VERTEX_SHADER);if(Ie.isContextLost()){this.failedToCreate=!0;return}Ie.shaderSource(Cr,Ar),Ie.compileShader(Cr),Ie.attachShader(this.program,Cr),this.attributes={};var cr={};this.numAttributes=Kt.length;for(var Gr=0;Gr<this.numAttributes;Gr++)Kt[Gr]&&(Ie.bindAttribLocation(this.program,Gr,Kt[Gr]),this.attributes[Kt[Gr]]=Gr);Ie.linkProgram(this.program),Ie.deleteShader(Cr),Ie.deleteShader(gr);for(var ei=0;ei<Pt.length;ei++){var yi=Pt[ei];if(yi&&!cr[yi]){var tn=Ie.getUniformLocation(this.program,yi);tn&&(cr[yi]=tn)}}this.fixedUniforms=pe(z,cr),this.binderUniforms=$?$.getUniforms(z,cr):[]};Vf.prototype.draw=function(z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt,Pt,Wt,rr){var dr,pr=z.gl;if(!this.failedToCreate){z.program.set(this.program),z.setDepthMode(O),z.setStencilMode($),z.setColorMode(pe),z.setCullFace(de);for(var kr in this.fixedUniforms)this.fixedUniforms[kr].set(Ie[kr]);Pt&&Pt.setUniforms(z,this.binderUniforms,Jt,{zoom:vt});for(var Ar=(dr={},dr[pr.LINES]=2,dr[pr.TRIANGLES]=3,dr[pr.LINE_STRIP]=1,dr)[K],gr=0,Cr=ir.get();gr<Cr.length;gr+=1){var cr=Cr[gr],Gr=cr.vaos||(cr.vaos={}),ei=Gr[$e]||(Gr[$e]=new Ic);ei.bind(z,this,pt,Pt?Pt.getPaintVertexBuffers():[],Kt,cr.vertexOffset,Wt,rr),pr.drawElements(K,cr.primitiveLength*Ar,pr.UNSIGNED_SHORT,cr.primitiveOffset*Ar*2)}}};function pc(Y,z,K){var O=1/Cs(K,1,z.transform.tileZoom),$=Math.pow(2,K.tileID.overscaledZ),pe=K.tileSize*Math.pow(2,z.transform.tileZoom)/$,de=pe*(K.tileID.canonical.x+K.tileID.wrap*$),Ie=pe*K.tileID.canonical.y;return{u_image:0,u_texsize:K.imageAtlasTexture.size,u_scale:[O,Y.fromScale,Y.toScale],u_fade:Y.t,u_pixel_coord_upper:[de>>16,Ie>>16],u_pixel_coord_lower:[de&65535,Ie&65535]}}function pf(Y,z,K,O){var $=K.imageManager.getPattern(Y.from.toString()),pe=K.imageManager.getPattern(Y.to.toString()),de=K.imageManager.getPixelSize(),Ie=de.width,$e=de.height,pt=Math.pow(2,O.tileID.overscaledZ),Kt=O.tileSize*Math.pow(2,K.transform.tileZoom)/pt,ir=Kt*(O.tileID.canonical.x+O.tileID.wrap*pt),Jt=Kt*O.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:$.tl,u_pattern_br_a:$.br,u_pattern_tl_b:pe.tl,u_pattern_br_b:pe.br,u_texsize:[Ie,$e],u_mix:z.t,u_pattern_size_a:$.displaySize,u_pattern_size_b:pe.displaySize,u_scale_a:z.fromScale,u_scale_b:z.toScale,u_tile_units_to_pixels:1/Cs(O,1,K.transform.tileZoom),u_pixel_coord_upper:[ir>>16,Jt>>16],u_pixel_coord_lower:[ir&65535,Jt&65535]}}var Ph=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_lightpos:new i.Uniform3f(Y,z.u_lightpos),u_lightintensity:new i.Uniform1f(Y,z.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,z.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,z.u_vertical_gradient),u_opacity:new i.Uniform1f(Y,z.u_opacity)}},Rl=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_lightpos:new i.Uniform3f(Y,z.u_lightpos),u_lightintensity:new i.Uniform1f(Y,z.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,z.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,z.u_vertical_gradient),u_height_factor:new i.Uniform1f(Y,z.u_height_factor),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade),u_opacity:new i.Uniform1f(Y,z.u_opacity)}},Ih=function(Y,z,K,O){var $=z.style.light,pe=$.properties.get(\"position\"),de=[pe.x,pe.y,pe.z],Ie=i.create$1();$.properties.get(\"anchor\")===\"viewport\"&&i.fromRotation(Ie,-z.transform.angle),i.transformMat3(de,de,Ie);var $e=$.properties.get(\"color\");return{u_matrix:Y,u_lightpos:de,u_lightintensity:$.properties.get(\"intensity\"),u_lightcolor:[$e.r,$e.g,$e.b],u_vertical_gradient:+K,u_opacity:O}},Wu=function(Y,z,K,O,$,pe,de){return i.extend(Ih(Y,z,K,O),pc(pe,z,de),{u_height_factor:-Math.pow(2,$.overscaledZ)/de.tileSize/8})},Rc=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},gc=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade)}},hl=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_world:new i.Uniform2f(Y,z.u_world)}},ru=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_world:new i.Uniform2f(Y,z.u_world),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade)}},mc=function(Y){return{u_matrix:Y}},Yc=function(Y,z,K,O){return i.extend(mc(Y),pc(K,z,O))},nc=function(Y,z){return{u_matrix:Y,u_world:z}},gf=function(Y,z,K,O,$){return i.extend(Yc(Y,z,K,O),{u_world:$})},gt=function(Y,z){return{u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_scale_with_map:new i.Uniform1i(Y,z.u_scale_with_map),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_extrude_scale:new i.Uniform2f(Y,z.u_extrude_scale),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},Bt=function(Y,z,K,O){var $=Y.transform,pe,de;if(O.paint.get(\"circle-pitch-alignment\")===\"map\"){var Ie=Cs(K,1,$.zoom);pe=!0,de=[Ie,Ie]}else 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O=Cs(K,1,z.zoom),$=Math.pow(2,z.zoom-K.tileID.overscaledZ),pe=K.tileID.overscaleFactor();return{u_matrix:Y,u_camera_to_center_distance:z.cameraToCenterDistance,u_pixels_to_tile_units:O,u_extrude_scale:[z.pixelsToGLUnits[0]/(O*$),z.pixelsToGLUnits[1]/(O*$)],u_overscale_factor:pe}},fi=function(Y,z,K){return{u_matrix:Y,u_inv_matrix:z,u_camera_to_center_distance:K.cameraToCenterDistance,u_viewport_size:[K.width,K.height]}},xi=function(Y,z){return{u_color:new i.UniformColor(Y,z.u_color),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_overlay:new i.Uniform1i(Y,z.u_overlay),u_overlay_scale:new i.Uniform1f(Y,z.u_overlay_scale)}},Fi=function(Y,z,K){return K===void 0&&(K=1),{u_matrix:Y,u_color:z,u_overlay:0,u_overlay_scale:K}},Xi=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},hn=function(Y){return{u_matrix:Y}},Ti=function(Y,z){return{u_extrude_scale:new i.Uniform1f(Y,z.u_extrude_scale),u_intensity:new i.Uniform1f(Y,z.u_intensity),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},qi=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_world:new i.Uniform2f(Y,z.u_world),u_image:new i.Uniform1i(Y,z.u_image),u_color_ramp:new i.Uniform1i(Y,z.u_color_ramp),u_opacity:new i.Uniform1f(Y,z.u_opacity)}},Ii=function(Y,z,K,O){return{u_matrix:Y,u_extrude_scale:Cs(z,1,K),u_intensity:O}},mi=function(Y,z,K,O){var $=i.create();i.ortho($,0,Y.width,Y.height,0,0,1);var pe=Y.context.gl;return{u_matrix:$,u_world:[pe.drawingBufferWidth,pe.drawingBufferHeight],u_image:K,u_color_ramp:O,u_opacity:z.paint.get(\"heatmap-opacity\")}},Pn=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_image:new i.Uniform1i(Y,z.u_image),u_latrange:new i.Uniform2f(Y,z.u_latrange),u_light:new i.Uniform2f(Y,z.u_light),u_shadow:new i.UniformColor(Y,z.u_shadow),u_highlight:new i.UniformColor(Y,z.u_highlight),u_accent:new i.UniformColor(Y,z.u_accent)}},Ma=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_image:new i.Uniform1i(Y,z.u_image),u_dimension:new i.Uniform2f(Y,z.u_dimension),u_zoom:new i.Uniform1f(Y,z.u_zoom),u_unpack:new i.Uniform4f(Y,z.u_unpack)}},Ta=function(Y,z,K){var O=K.paint.get(\"hillshade-shadow-color\"),$=K.paint.get(\"hillshade-highlight-color\"),pe=K.paint.get(\"hillshade-accent-color\"),de=K.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);K.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(de-=Y.transform.angle);var Ie=!Y.options.moving;return{u_matrix:Y.transform.calculatePosMatrix(z.tileID.toUnwrapped(),Ie),u_image:0,u_latrange:qa(Y,z.tileID),u_light:[K.paint.get(\"hillshade-exaggeration\"),de],u_shadow:O,u_highlight:$,u_accent:pe}},Ea=function(Y,z){var K=z.stride,O=i.create();return i.ortho(O,0,i.EXTENT,-i.EXTENT,0,0,1),i.translate(O,O,[0,-i.EXTENT,0]),{u_matrix:O,u_image:1,u_dimension:[K,K],u_zoom:Y.overscaledZ,u_unpack:z.getUnpackVector()}};function qa(Y,z){var K=Math.pow(2,z.canonical.z),O=z.canonical.y;return[new i.MercatorCoordinate(0,O/K).toLngLat().lat,new i.MercatorCoordinate(0,(O+1)/K).toLngLat().lat]}var Cn=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_ratio:new i.Uniform1f(Y,z.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,z.u_units_to_pixels)}},sn=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_ratio:new i.Uniform1f(Y,z.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,z.u_units_to_pixels),u_image:new i.Uniform1i(Y,z.u_image),u_image_height:new i.Uniform1f(Y,z.u_image_height)}},Ua=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_ratio:new i.Uniform1f(Y,z.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_image:new i.Uniform1i(Y,z.u_image),u_units_to_pixels:new i.Uniform2f(Y,z.u_units_to_pixels),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new 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$=Y.transform,pe=Bo(z,$);return{u_matrix:yl(Y,z,K),u_texsize:z.imageAtlasTexture.size,u_ratio:1/Cs(z,1,$.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_image:0,u_scale:[pe,O.fromScale,O.toScale],u_fade:O.t,u_units_to_pixels:[1/$.pixelsToGLUnits[0],1/$.pixelsToGLUnits[1]]}},ys=function(Y,z,K,O,$){var pe=Y.transform,de=Y.lineAtlas,Ie=Bo(z,pe),$e=K.layout.get(\"line-cap\")===\"round\",pt=de.getDash(O.from,$e),Kt=de.getDash(O.to,$e),ir=pt.width*$.fromScale,Jt=Kt.width*$.toScale;return i.extend(Xo(Y,z,K),{u_patternscale_a:[Ie/ir,-pt.height/2],u_patternscale_b:[Ie/Jt,-Kt.height/2],u_sdfgamma:de.width/(Math.min(ir,Jt)*256*i.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:pt.y,u_tex_y_b:Kt.y,u_mix:$.t})};function Bo(Y,z){return 1/Cs(Y,1,z.tileZoom)}function yl(Y,z,K){return Y.translatePosMatrix(z.tileID.posMatrix,z,K.paint.get(\"line-translate\"),K.paint.get(\"line-translate-anchor\"))}var Gs=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_tl_parent:new i.Uniform2f(Y,z.u_tl_parent),u_scale_parent:new i.Uniform1f(Y,z.u_scale_parent),u_buffer_scale:new i.Uniform1f(Y,z.u_buffer_scale),u_fade_t:new i.Uniform1f(Y,z.u_fade_t),u_opacity:new i.Uniform1f(Y,z.u_opacity),u_image0:new i.Uniform1i(Y,z.u_image0),u_image1:new i.Uniform1i(Y,z.u_image1),u_brightness_low:new i.Uniform1f(Y,z.u_brightness_low),u_brightness_high:new i.Uniform1f(Y,z.u_brightness_high),u_saturation_factor:new i.Uniform1f(Y,z.u_saturation_factor),u_contrast_factor:new i.Uniform1f(Y,z.u_contrast_factor),u_spin_weights:new i.Uniform3f(Y,z.u_spin_weights)}},Rs=function(Y,z,K,O,$){return{u_matrix:Y,u_tl_parent:z,u_scale_parent:K,u_buffer_scale:1,u_fade_t:O.mix,u_opacity:O.opacity*$.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:$.paint.get(\"raster-brightness-min\"),u_brightness_high:$.paint.get(\"raster-brightness-max\"),u_saturation_factor:vs($.paint.get(\"raster-saturation\")),u_contrast_factor:Ka($.paint.get(\"raster-contrast\")),u_spin_weights:ia($.paint.get(\"raster-hue-rotate\"))}};function ia(Y){Y*=Math.PI/180;var z=Math.sin(Y),K=Math.cos(Y);return[(2*K+1)/3,(-Math.sqrt(3)*z-K+1)/3,(Math.sqrt(3)*z-K+1)/3]}function Ka(Y){return Y>0?1/(1-Y):1+Y}function vs(Y){return Y>0?1-1/(1.001-Y):-Y}var Ko=function(Y,z){return{u_is_size_zoom_constant:new i.Uniform1i(Y,z.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,z.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,z.u_size_t),u_size:new i.Uniform1f(Y,z.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,z.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,z.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,z.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,z.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,z.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,z.u_coord_matrix),u_is_text:new i.Uniform1i(Y,z.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_texture:new i.Uniform1i(Y,z.u_texture)}},iu=function(Y,z){return{u_is_size_zoom_constant:new i.Uniform1i(Y,z.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,z.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,z.u_size_t),u_size:new i.Uniform1f(Y,z.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,z.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,z.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,z.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,z.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,z.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,z.u_coord_matrix),u_is_text:new i.Uniform1i(Y,z.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_texture:new i.Uniform1i(Y,z.u_texture),u_gamma_scale:new i.Uniform1f(Y,z.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,z.u_is_halo)}},Ru=function(Y,z){return{u_is_size_zoom_constant:new i.Uniform1i(Y,z.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,z.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,z.u_size_t),u_size:new i.Uniform1f(Y,z.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,z.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,z.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,z.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,z.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,z.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,z.u_coord_matrix),u_is_text:new i.Uniform1i(Y,z.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_texsize_icon:new i.Uniform2f(Y,z.u_texsize_icon),u_texture:new i.Uniform1i(Y,z.u_texture),u_texture_icon:new i.Uniform1i(Y,z.u_texture_icon),u_gamma_scale:new i.Uniform1f(Y,z.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,z.u_is_halo)}},ac=function(Y,z,K,O,$,pe,de,Ie,$e,pt){var Kt=$.transform;return{u_is_size_zoom_constant:+(Y===\"constant\"||Y===\"source\"),u_is_size_feature_constant:+(Y===\"constant\"||Y===\"camera\"),u_size_t:z?z.uSizeT:0,u_size:z?z.uSize:0,u_camera_to_center_distance:Kt.cameraToCenterDistance,u_pitch:Kt.pitch/360*2*Math.PI,u_rotate_symbol:+K,u_aspect_ratio:Kt.width/Kt.height,u_fade_change:$.options.fadeDuration?$.symbolFadeChange:1,u_matrix:pe,u_label_plane_matrix:de,u_coord_matrix:Ie,u_is_text:+$e,u_pitch_with_map:+O,u_texsize:pt,u_texture:0}},mf=function(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt){var ir=$.transform;return i.extend(ac(Y,z,K,O,$,pe,de,Ie,$e,pt),{u_gamma_scale:O?Math.cos(ir._pitch)*ir.cameraToCenterDistance:1,u_device_pixel_ratio:i.browser.devicePixelRatio,u_is_halo:+Kt})},bu=function(Y,z,K,O,$,pe,de,Ie,$e,pt){return i.extend(mf(Y,z,K,O,$,pe,de,Ie,!0,$e,!0),{u_texsize_icon:pt,u_texture_icon:1})},Kc=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_opacity:new i.Uniform1f(Y,z.u_opacity),u_color:new i.UniformColor(Y,z.u_color)}},Du=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_opacity:new i.Uniform1f(Y,z.u_opacity),u_image:new i.Uniform1i(Y,z.u_image),u_pattern_tl_a:new i.Uniform2f(Y,z.u_pattern_tl_a),u_pattern_br_a:new i.Uniform2f(Y,z.u_pattern_br_a),u_pattern_tl_b:new i.Uniform2f(Y,z.u_pattern_tl_b),u_pattern_br_b:new i.Uniform2f(Y,z.u_pattern_br_b),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_mix:new i.Uniform1f(Y,z.u_mix),u_pattern_size_a:new i.Uniform2f(Y,z.u_pattern_size_a),u_pattern_size_b:new i.Uniform2f(Y,z.u_pattern_size_b),u_scale_a:new i.Uniform1f(Y,z.u_scale_a),u_scale_b:new i.Uniform1f(Y,z.u_scale_b),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_tile_units_to_pixels:new i.Uniform1f(Y,z.u_tile_units_to_pixels)}},Dc=function(Y,z,K){return{u_matrix:Y,u_opacity:z,u_color:K}},Da=function(Y,z,K,O,$,pe){return i.extend(pf(O,pe,K,$),{u_matrix:Y,u_opacity:z})},eo={fillExtrusion:Ph,fillExtrusionPattern:Rl,fill:Rc,fillPattern:gc,fillOutline:hl,fillOutlinePattern:ru,circle:gt,collisionBox:wr,collisionCircle:vr,debug:xi,clippingMask:Xi,heatmap:Ti,heatmapTexture:qi,hillshade:Pn,hillshadePrepare:Ma,line:Cn,lineGradient:sn,linePattern:Ua,lineSDF:mo,raster:Gs,symbolIcon:Ko,symbolSDF:iu,symbolTextAndIcon:Ru,background:Kc,backgroundPattern:Du},Jc;function yc(Y,z,K,O,$,pe,de){for(var Ie=Y.context,$e=Ie.gl,pt=Y.useProgram(\"collisionBox\"),Kt=[],ir=0,Jt=0,vt=0;vt<O.length;vt++){var Pt=O[vt],Wt=z.getTile(Pt),rr=Wt.getBucket(K);if(rr){var dr=Pt.posMatrix;($[0]!==0||$[1]!==0)&&(dr=Y.translatePosMatrix(Pt.posMatrix,Wt,$,pe));var pr=de?rr.textCollisionBox:rr.iconCollisionBox,kr=rr.collisionCircleArray;if(kr.length>0){var Ar=i.create(),gr=dr;i.mul(Ar,rr.placementInvProjMatrix,Y.transform.glCoordMatrix),i.mul(Ar,Ar,rr.placementViewportMatrix),Kt.push({circleArray:kr,circleOffset:Jt,transform:gr,invTransform:Ar}),ir+=kr.length/4,Jt=ir}pr&&pt.draw(Ie,$e.LINES,Wi.disabled,$i.disabled,Y.colorModeForRenderPass(),yr.disabled,Ur(dr,Y.transform,Wt),K.id,pr.layoutVertexBuffer,pr.indexBuffer,pr.segments,null,Y.transform.zoom,null,null,pr.collisionVertexBuffer)}}if(!(!de||!Kt.length)){var Cr=Y.useProgram(\"collisionCircle\"),cr=new i.StructArrayLayout2f1f2i16;cr.resize(ir*4),cr._trim();for(var Gr=0,ei=0,yi=Kt;ei<yi.length;ei+=1)for(var tn=yi[ei],Ri=0;Ri<tn.circleArray.length/4;Ri++){var ln=Ri*4,Qn=tn.circleArray[ln+0],qn=tn.circleArray[ln+1],rn=tn.circleArray[ln+2],bn=tn.circleArray[ln+3];cr.emplace(Gr++,Qn,qn,rn,bn,0),cr.emplace(Gr++,Qn,qn,rn,bn,1),cr.emplace(Gr++,Qn,qn,rn,bn,2),cr.emplace(Gr++,Qn,qn,rn,bn,3)}(!Jc||Jc.length<ir*2)&&(Jc=_c(ir));for(var mn=Ie.createIndexBuffer(Jc,!0),Gn=Ie.createVertexBuffer(cr,i.collisionCircleLayout.members,!0),da=0,No=Kt;da<No.length;da+=1){var Do=No[da],ps=fi(Do.transform,Do.invTransform,Y.transform);Cr.draw(Ie,$e.TRIANGLES,Wi.disabled,$i.disabled,Y.colorModeForRenderPass(),yr.disabled,ps,K.id,Gn,mn,i.SegmentVector.simpleSegment(0,Do.circleOffset*2,Do.circleArray.length,Do.circleArray.length/2),null,Y.transform.zoom,null,null,null)}Gn.destroy(),mn.destroy()}}function _c(Y){var z=Y*2,K=new i.StructArrayLayout3ui6;K.resize(z),K._trim();for(var O=0;O<z;O++){var $=O*6;K.uint16[$+0]=O*4+0,K.uint16[$+1]=O*4+1,K.uint16[$+2]=O*4+2,K.uint16[$+3]=O*4+2,K.uint16[$+4]=O*4+3,K.uint16[$+5]=O*4+0}return K}var le=i.identity(new Float32Array(16));function w(Y,z,K,O,$){if(Y.renderPass===\"translucent\"){var pe=$i.disabled,de=Y.colorModeForRenderPass(),Ie=K.layout.get(\"text-variable-anchor\");Ie&&Q(O,Y,K,z,K.layout.get(\"text-rotation-alignment\"),K.layout.get(\"text-pitch-alignment\"),$),K.paint.get(\"icon-opacity\").constantOr(1)!==0&&qe(Y,z,K,O,!1,K.paint.get(\"icon-translate\"),K.paint.get(\"icon-translate-anchor\"),K.layout.get(\"icon-rotation-alignment\"),K.layout.get(\"icon-pitch-alignment\"),K.layout.get(\"icon-keep-upright\"),pe,de),K.paint.get(\"text-opacity\").constantOr(1)!==0&&qe(Y,z,K,O,!0,K.paint.get(\"text-translate\"),K.paint.get(\"text-translate-anchor\"),K.layout.get(\"text-rotation-alignment\"),K.layout.get(\"text-pitch-alignment\"),K.layout.get(\"text-keep-upright\"),pe,de),z.map.showCollisionBoxes&&(yc(Y,z,K,O,K.paint.get(\"text-translate\"),K.paint.get(\"text-translate-anchor\"),!0),yc(Y,z,K,O,K.paint.get(\"icon-translate\"),K.paint.get(\"icon-translate-anchor\"),!1))}}function B(Y,z,K,O,$,pe){var de=i.getAnchorAlignment(Y),Ie=de.horizontalAlign,$e=de.verticalAlign,pt=-(Ie-.5)*z,Kt=-($e-.5)*K,ir=i.evaluateVariableOffset(Y,O);return new i.Point((pt/$+ir[0])*pe,(Kt/$+ir[1])*pe)}function Q(Y,z,K,O,$,pe,de){for(var Ie=z.transform,$e=$===\"map\",pt=pe===\"map\",Kt=0,ir=Y;Kt<ir.length;Kt+=1){var Jt=ir[Kt],vt=O.getTile(Jt),Pt=vt.getBucket(K);if(!(!Pt||!Pt.text||!Pt.text.segments.get().length)){var Wt=Pt.textSizeData,rr=i.evaluateSizeForZoom(Wt,Ie.zoom),dr=Cs(vt,1,z.transform.zoom),pr=Ji(Jt.posMatrix,pt,$e,z.transform,dr),kr=K.layout.get(\"icon-text-fit\")!==\"none\"&&Pt.hasIconData();if(rr){var Ar=Math.pow(2,Ie.zoom-vt.tileID.overscaledZ);ee(Pt,$e,pt,de,i.symbolSize,Ie,pr,Jt.posMatrix,Ar,rr,kr)}}}}function ee(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt){var ir=Y.text.placedSymbolArray,Jt=Y.text.dynamicLayoutVertexArray,vt=Y.icon.dynamicLayoutVertexArray,Pt={};Jt.clear();for(var Wt=0;Wt<ir.length;Wt++){var rr=ir.get(Wt),dr=Y.allowVerticalPlacement&&!rr.placedOrientation,pr=!rr.hidden&&rr.crossTileID&&!dr?O[rr.crossTileID]:null;if(!pr)Xs(rr.numGlyphs,Jt);else{var kr=new i.Point(rr.anchorX,rr.anchorY),Ar=Fn(kr,K?Ie:de),gr=Sa(pe.cameraToCenterDistance,Ar.signedDistanceFromCamera),Cr=$.evaluateSizeForFeature(Y.textSizeData,pt,rr)*gr/i.ONE_EM;K&&(Cr*=Y.tilePixelRatio/$e);for(var cr=pr.width,Gr=pr.height,ei=pr.anchor,yi=pr.textOffset,tn=pr.textBoxScale,Ri=B(ei,cr,Gr,yi,tn,Cr),ln=K?Fn(kr.add(Ri),de).point:Ar.point.add(z?Ri.rotate(-pe.angle):Ri),Qn=Y.allowVerticalPlacement&&rr.placedOrientation===i.WritingMode.vertical?Math.PI/2:0,qn=0;qn<rr.numGlyphs;qn++)i.addDynamicAttributes(Jt,ln,Qn);Kt&&rr.associatedIconIndex>=0&&(Pt[rr.associatedIconIndex]={shiftedAnchor:ln,angle:Qn})}}if(Kt){vt.clear();for(var rn=Y.icon.placedSymbolArray,bn=0;bn<rn.length;bn++){var mn=rn.get(bn);if(mn.hidden)Xs(mn.numGlyphs,vt);else{var Gn=Pt[bn];if(!Gn)Xs(mn.numGlyphs,vt);else for(var da=0;da<mn.numGlyphs;da++)i.addDynamicAttributes(vt,Gn.shiftedAnchor,Gn.angle)}}Y.icon.dynamicLayoutVertexBuffer.updateData(vt)}Y.text.dynamicLayoutVertexBuffer.updateData(Jt)}function se(Y,z,K){return K.iconsInText&&z?\"symbolTextAndIcon\":Y?\"symbolSDF\":\"symbolIcon\"}function qe(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt,ir){for(var Jt=Y.context,vt=Jt.gl,Pt=Y.transform,Wt=Ie===\"map\",rr=$e===\"map\",dr=Wt&&K.layout.get(\"symbol-placement\")!==\"point\",pr=Wt&&!rr&&!dr,kr=K.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,Ar=!1,gr=Y.depthModeForSublayer(0,Wi.ReadOnly),Cr=K.layout.get(\"text-variable-anchor\"),cr=[],Gr=0,ei=O;Gr<ei.length;Gr+=1){var yi=ei[Gr],tn=z.getTile(yi),Ri=tn.getBucket(K);if(Ri){var ln=$?Ri.text:Ri.icon;if(!(!ln||!ln.segments.get().length)){var Qn=ln.programConfigurations.get(K.id),qn=$||Ri.sdfIcons,rn=$?Ri.textSizeData:Ri.iconSizeData,bn=rr||Pt.pitch!==0,mn=Y.useProgram(se(qn,$,Ri),Qn),Gn=i.evaluateSizeForZoom(rn,Pt.zoom),da=void 0,No=[0,0],Do=void 0,ps=void 0,fo=null,as=void 0;if($){if(Do=tn.glyphAtlasTexture,ps=vt.LINEAR,da=tn.glyphAtlasTexture.size,Ri.iconsInText){No=tn.imageAtlasTexture.size,fo=tn.imageAtlasTexture;var tl=rn.kind===\"composite\"||rn.kind===\"camera\";as=bn||Y.options.rotating||Y.options.zooming||tl?vt.LINEAR:vt.NEAREST}}else{var zu=K.layout.get(\"icon-size\").constantOr(0)!==1||Ri.iconsNeedLinear;Do=tn.imageAtlasTexture,ps=qn||Y.options.rotating||Y.options.zooming||zu||bn?vt.LINEAR:vt.NEAREST,da=tn.imageAtlasTexture.size}var Mv=Cs(tn,1,Y.transform.zoom),Ev=Ji(yi.posMatrix,rr,Wt,Y.transform,Mv),yd=ua(yi.posMatrix,rr,Wt,Y.transform,Mv),Yv=Cr&&Ri.hasTextData(),cg=K.layout.get(\"icon-text-fit\")!==\"none\"&&Yv&&Ri.hasIconData();dr&&Oo(Ri,yi.posMatrix,Y,$,Ev,yd,rr,pt);var vp=Y.translatePosMatrix(yi.posMatrix,tn,pe,de),_d=dr||$&&Cr||cg?le:Ev,pp=Y.translatePosMatrix(yd,tn,pe,de,!0),Nd=qn&&K.paint.get($?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,xd=void 0;qn?Ri.iconsInText?xd=bu(rn.kind,Gn,pr,rr,Y,vp,_d,pp,da,No):xd=mf(rn.kind,Gn,pr,rr,Y,vp,_d,pp,$,da,!0):xd=ac(rn.kind,Gn,pr,rr,Y,vp,_d,pp,$,da);var kv={program:mn,buffers:ln,uniformValues:xd,atlasTexture:Do,atlasTextureIcon:fo,atlasInterpolation:ps,atlasInterpolationIcon:as,isSDF:qn,hasHalo:Nd};if(kr&&Ri.canOverlap){Ar=!0;for(var Kv=ln.segments.get(),Cv=0,ny=Kv;Cv<ny.length;Cv+=1){var fg=ny[Cv];cr.push({segments:new i.SegmentVector([fg]),sortKey:fg.sortKey,state:kv})}}else cr.push({segments:ln.segments,sortKey:0,state:kv})}}}Ar&&cr.sort(function(w1,T1){return w1.sortKey-T1.sortKey});for(var Hf=0,hg=cr;Hf<hg.length;Hf+=1){var ay=hg[Hf],Rh=ay.state;if(Jt.activeTexture.set(vt.TEXTURE0),Rh.atlasTexture.bind(Rh.atlasInterpolation,vt.CLAMP_TO_EDGE),Rh.atlasTextureIcon&&(Jt.activeTexture.set(vt.TEXTURE1),Rh.atlasTextureIcon&&Rh.atlasTextureIcon.bind(Rh.atlasInterpolationIcon,vt.CLAMP_TO_EDGE)),Rh.isSDF){var rm=Rh.uniformValues;Rh.hasHalo&&(rm.u_is_halo=1,je(Rh.buffers,ay.segments,K,Y,Rh.program,gr,Kt,ir,rm)),rm.u_is_halo=0}je(Rh.buffers,ay.segments,K,Y,Rh.program,gr,Kt,ir,Rh.uniformValues)}}function je(Y,z,K,O,$,pe,de,Ie,$e){var pt=O.context,Kt=pt.gl;$.draw(pt,Kt.TRIANGLES,pe,de,Ie,yr.disabled,$e,K.id,Y.layoutVertexBuffer,Y.indexBuffer,z,K.paint,O.transform.zoom,Y.programConfigurations.get(K.id),Y.dynamicLayoutVertexBuffer,Y.opacityVertexBuffer)}function it(Y,z,K,O){if(Y.renderPass===\"translucent\"){var $=K.paint.get(\"circle-opacity\"),pe=K.paint.get(\"circle-stroke-width\"),de=K.paint.get(\"circle-stroke-opacity\"),Ie=K.layout.get(\"circle-sort-key\").constantOr(1)!==void 0;if(!($.constantOr(1)===0&&(pe.constantOr(1)===0||de.constantOr(1)===0))){for(var $e=Y.context,pt=$e.gl,Kt=Y.depthModeForSublayer(0,Wi.ReadOnly),ir=$i.disabled,Jt=Y.colorModeForRenderPass(),vt=[],Pt=0;Pt<O.length;Pt++){var Wt=O[Pt],rr=z.getTile(Wt),dr=rr.getBucket(K);if(dr){var pr=dr.programConfigurations.get(K.id),kr=Y.useProgram(\"circle\",pr),Ar=dr.layoutVertexBuffer,gr=dr.indexBuffer,Cr=Bt(Y,Wt,rr,K),cr={programConfiguration:pr,program:kr,layoutVertexBuffer:Ar,indexBuffer:gr,uniformValues:Cr};if(Ie)for(var Gr=dr.segments.get(),ei=0,yi=Gr;ei<yi.length;ei+=1){var tn=yi[ei];vt.push({segments:new i.SegmentVector([tn]),sortKey:tn.sortKey,state:cr})}else vt.push({segments:dr.segments,sortKey:0,state:cr})}}Ie&&vt.sort(function(Do,ps){return Do.sortKey-ps.sortKey});for(var Ri=0,ln=vt;Ri<ln.length;Ri+=1){var Qn=ln[Ri],qn=Qn.state,rn=qn.programConfiguration,bn=qn.program,mn=qn.layoutVertexBuffer,Gn=qn.indexBuffer,da=qn.uniformValues,No=Qn.segments;bn.draw($e,pt.TRIANGLES,Kt,ir,Jt,yr.disabled,da,K.id,mn,Gn,No,K.paint,Y.transform.zoom,rn)}}}}function yt(Y,z,K,O){if(K.paint.get(\"heatmap-opacity\")!==0)if(Y.renderPass===\"offscreen\"){var $=Y.context,pe=$.gl,de=$i.disabled,Ie=new ft([pe.ONE,pe.ONE],i.Color.transparent,[!0,!0,!0,!0]);Ot($,Y,K),$.clear({color:i.Color.transparent});for(var $e=0;$e<O.length;$e++){var pt=O[$e];if(!z.hasRenderableParent(pt)){var Kt=z.getTile(pt),ir=Kt.getBucket(K);if(ir){var Jt=ir.programConfigurations.get(K.id),vt=Y.useProgram(\"heatmap\",Jt),Pt=Y.transform,Wt=Pt.zoom;vt.draw($,pe.TRIANGLES,Wi.disabled,de,Ie,yr.disabled,Ii(pt.posMatrix,Kt,Wt,K.paint.get(\"heatmap-intensity\")),K.id,ir.layoutVertexBuffer,ir.indexBuffer,ir.segments,K.paint,Y.transform.zoom,Jt)}}}$.viewport.set([0,0,Y.width,Y.height])}else Y.renderPass===\"translucent\"&&(Y.context.setColorMode(Y.colorModeForRenderPass()),hr(Y,K))}function Ot(Y,z,K){var O=Y.gl;Y.activeTexture.set(O.TEXTURE1),Y.viewport.set([0,0,z.width/4,z.height/4]);var $=K.heatmapFbo;if($)O.bindTexture(O.TEXTURE_2D,$.colorAttachment.get()),Y.bindFramebuffer.set($.framebuffer);else{var pe=O.createTexture();O.bindTexture(O.TEXTURE_2D,pe),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_S,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_T,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MIN_FILTER,O.LINEAR),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MAG_FILTER,O.LINEAR),$=K.heatmapFbo=Y.createFramebuffer(z.width/4,z.height/4,!1),Nt(Y,z,pe,$)}}function Nt(Y,z,K,O){var $=Y.gl,pe=Y.extRenderToTextureHalfFloat?Y.extTextureHalfFloat.HALF_FLOAT_OES:$.UNSIGNED_BYTE;$.texImage2D($.TEXTURE_2D,0,$.RGBA,z.width/4,z.height/4,0,$.RGBA,pe,null),O.colorAttachment.set(K)}function hr(Y,z){var K=Y.context,O=K.gl,$=z.heatmapFbo;if($){K.activeTexture.set(O.TEXTURE0),O.bindTexture(O.TEXTURE_2D,$.colorAttachment.get()),K.activeTexture.set(O.TEXTURE1);var pe=z.colorRampTexture;pe||(pe=z.colorRampTexture=new i.Texture(K,z.colorRamp,O.RGBA)),pe.bind(O.LINEAR,O.CLAMP_TO_EDGE),Y.useProgram(\"heatmapTexture\").draw(K,O.TRIANGLES,Wi.disabled,$i.disabled,Y.colorModeForRenderPass(),yr.disabled,mi(Y,z,0,1),z.id,Y.viewportBuffer,Y.quadTriangleIndexBuffer,Y.viewportSegments,z.paint,Y.transform.zoom)}}function Sr(Y,z,K,O){if(Y.renderPass===\"translucent\"){var $=K.paint.get(\"line-opacity\"),pe=K.paint.get(\"line-width\");if(!($.constantOr(1)===0||pe.constantOr(1)===0))for(var de=Y.depthModeForSublayer(0,Wi.ReadOnly),Ie=Y.colorModeForRenderPass(),$e=K.paint.get(\"line-dasharray\"),pt=K.paint.get(\"line-pattern\"),Kt=pt.constantOr(1),ir=K.paint.get(\"line-gradient\"),Jt=K.getCrossfadeParameters(),vt=Kt?\"linePattern\":$e?\"lineSDF\":ir?\"lineGradient\":\"line\",Pt=Y.context,Wt=Pt.gl,rr=!0,dr=0,pr=O;dr<pr.length;dr+=1){var kr=pr[dr],Ar=z.getTile(kr);if(!(Kt&&!Ar.patternsLoaded())){var gr=Ar.getBucket(K);if(gr){var Cr=gr.programConfigurations.get(K.id),cr=Y.context.program.get(),Gr=Y.useProgram(vt,Cr),ei=rr||Gr.program!==cr,yi=pt.constantOr(null);if(yi&&Ar.imageAtlas){var tn=Ar.imageAtlas,Ri=tn.patternPositions[yi.to.toString()],ln=tn.patternPositions[yi.from.toString()];Ri&&ln&&Cr.setConstantPatternPositions(Ri,ln)}var Qn=Kt?Qo(Y,Ar,K,Jt):$e?ys(Y,Ar,K,$e,Jt):ir?Ts(Y,Ar,K,gr.lineClipsArray.length):Xo(Y,Ar,K);if(Kt)Pt.activeTexture.set(Wt.TEXTURE0),Ar.imageAtlasTexture.bind(Wt.LINEAR,Wt.CLAMP_TO_EDGE),Cr.updatePaintBuffers(Jt);else if($e&&(ei||Y.lineAtlas.dirty))Pt.activeTexture.set(Wt.TEXTURE0),Y.lineAtlas.bind(Pt);else if(ir){var qn=gr.gradients[K.id],rn=qn.texture;if(K.gradientVersion!==qn.version){var bn=256;if(K.stepInterpolant){var mn=z.getSource().maxzoom,Gn=kr.canonical.z===mn?Math.ceil(1<<Y.transform.maxZoom-kr.canonical.z):1,da=gr.maxLineLength/i.EXTENT,No=1024,Do=da*No*Gn;bn=i.clamp(i.nextPowerOfTwo(Do),256,Pt.maxTextureSize)}qn.gradient=i.renderColorRamp({expression:K.gradientExpression(),evaluationKey:\"lineProgress\",resolution:bn,image:qn.gradient||void 0,clips:gr.lineClipsArray}),qn.texture?qn.texture.update(qn.gradient):qn.texture=new i.Texture(Pt,qn.gradient,Wt.RGBA),qn.version=K.gradientVersion,rn=qn.texture}Pt.activeTexture.set(Wt.TEXTURE0),rn.bind(K.stepInterpolant?Wt.NEAREST:Wt.LINEAR,Wt.CLAMP_TO_EDGE)}Gr.draw(Pt,Wt.TRIANGLES,de,Y.stencilModeForClipping(kr),Ie,yr.disabled,Qn,K.id,gr.layoutVertexBuffer,gr.indexBuffer,gr.segments,K.paint,Y.transform.zoom,Cr,gr.layoutVertexBuffer2),rr=!1}}}}}function he(Y,z,K,O){var $=K.paint.get(\"fill-color\"),pe=K.paint.get(\"fill-opacity\");if(pe.constantOr(1)!==0){var de=Y.colorModeForRenderPass(),Ie=K.paint.get(\"fill-pattern\"),$e=Y.opaquePassEnabledForLayer()&&!Ie.constantOr(1)&&$.constantOr(i.Color.transparent).a===1&&pe.constantOr(0)===1?\"opaque\":\"translucent\";if(Y.renderPass===$e){var pt=Y.depthModeForSublayer(1,Y.renderPass===\"opaque\"?Wi.ReadWrite:Wi.ReadOnly);be(Y,z,K,O,pt,de,!1)}if(Y.renderPass===\"translucent\"&&K.paint.get(\"fill-antialias\")){var Kt=Y.depthModeForSublayer(K.getPaintProperty(\"fill-outline-color\")?2:0,Wi.ReadOnly);be(Y,z,K,O,Kt,de,!0)}}}function be(Y,z,K,O,$,pe,de){var Ie=Y.context.gl,$e=K.paint.get(\"fill-pattern\"),pt=$e&&$e.constantOr(1),Kt=K.getCrossfadeParameters(),ir,Jt,vt,Pt,Wt;de?(Jt=pt&&!K.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",ir=Ie.LINES):(Jt=pt?\"fillPattern\":\"fill\",ir=Ie.TRIANGLES);for(var rr=0,dr=O;rr<dr.length;rr+=1){var pr=dr[rr],kr=z.getTile(pr);if(!(pt&&!kr.patternsLoaded())){var Ar=kr.getBucket(K);if(Ar){var gr=Ar.programConfigurations.get(K.id),Cr=Y.useProgram(Jt,gr);pt&&(Y.context.activeTexture.set(Ie.TEXTURE0),kr.imageAtlasTexture.bind(Ie.LINEAR,Ie.CLAMP_TO_EDGE),gr.updatePaintBuffers(Kt));var cr=$e.constantOr(null);if(cr&&kr.imageAtlas){var Gr=kr.imageAtlas,ei=Gr.patternPositions[cr.to.toString()],yi=Gr.patternPositions[cr.from.toString()];ei&&yi&&gr.setConstantPatternPositions(ei,yi)}var tn=Y.translatePosMatrix(pr.posMatrix,kr,K.paint.get(\"fill-translate\"),K.paint.get(\"fill-translate-anchor\"));if(!de)Pt=Ar.indexBuffer,Wt=Ar.segments,vt=pt?Yc(tn,Y,Kt,kr):mc(tn);else{Pt=Ar.indexBuffer2,Wt=Ar.segments2;var Ri=[Ie.drawingBufferWidth,Ie.drawingBufferHeight];vt=Jt===\"fillOutlinePattern\"&&pt?gf(tn,Y,Kt,kr,Ri):nc(tn,Ri)}Cr.draw(Y.context,ir,$,Y.stencilModeForClipping(pr),pe,yr.disabled,vt,K.id,Ar.layoutVertexBuffer,Pt,Wt,K.paint,Y.transform.zoom,gr)}}}}function Pe(Y,z,K,O){var $=K.paint.get(\"fill-extrusion-opacity\");if($!==0&&Y.renderPass===\"translucent\"){var pe=new Wi(Y.context.gl.LEQUAL,Wi.ReadWrite,Y.depthRangeFor3D);if($===1&&!K.paint.get(\"fill-extrusion-pattern\").constantOr(1)){var de=Y.colorModeForRenderPass();Oe(Y,z,K,O,pe,$i.disabled,de)}else Oe(Y,z,K,O,pe,$i.disabled,ft.disabled),Oe(Y,z,K,O,pe,Y.stencilModeFor3D(),Y.colorModeForRenderPass())}}function Oe(Y,z,K,O,$,pe,de){for(var Ie=Y.context,$e=Ie.gl,pt=K.paint.get(\"fill-extrusion-pattern\"),Kt=pt.constantOr(1),ir=K.getCrossfadeParameters(),Jt=K.paint.get(\"fill-extrusion-opacity\"),vt=0,Pt=O;vt<Pt.length;vt+=1){var Wt=Pt[vt],rr=z.getTile(Wt),dr=rr.getBucket(K);if(dr){var pr=dr.programConfigurations.get(K.id),kr=Y.useProgram(Kt?\"fillExtrusionPattern\":\"fillExtrusion\",pr);Kt&&(Y.context.activeTexture.set($e.TEXTURE0),rr.imageAtlasTexture.bind($e.LINEAR,$e.CLAMP_TO_EDGE),pr.updatePaintBuffers(ir));var Ar=pt.constantOr(null);if(Ar&&rr.imageAtlas){var gr=rr.imageAtlas,Cr=gr.patternPositions[Ar.to.toString()],cr=gr.patternPositions[Ar.from.toString()];Cr&&cr&&pr.setConstantPatternPositions(Cr,cr)}var Gr=Y.translatePosMatrix(Wt.posMatrix,rr,K.paint.get(\"fill-extrusion-translate\"),K.paint.get(\"fill-extrusion-translate-anchor\")),ei=K.paint.get(\"fill-extrusion-vertical-gradient\"),yi=Kt?Wu(Gr,Y,ei,Jt,Wt,ir,rr):Ih(Gr,Y,ei,Jt);kr.draw(Ie,Ie.gl.TRIANGLES,$,pe,de,yr.backCCW,yi,K.id,dr.layoutVertexBuffer,dr.indexBuffer,dr.segments,K.paint,Y.transform.zoom,pr)}}}function Je(Y,z,K,O){if(!(Y.renderPass!==\"offscreen\"&&Y.renderPass!==\"translucent\")){for(var $=Y.context,pe=Y.depthModeForSublayer(0,Wi.ReadOnly),de=Y.colorModeForRenderPass(),Ie=Y.renderPass===\"translucent\"?Y.stencilConfigForOverlap(O):[{},O],$e=Ie[0],pt=Ie[1],Kt=0,ir=pt;Kt<ir.length;Kt+=1){var Jt=ir[Kt],vt=z.getTile(Jt);vt.needsHillshadePrepare&&Y.renderPass===\"offscreen\"?et(Y,vt,K,pe,$i.disabled,de):Y.renderPass===\"translucent\"&&He(Y,vt,K,pe,$e[Jt.overscaledZ],de)}$.viewport.set([0,0,Y.width,Y.height])}}function He(Y,z,K,O,$,pe){var de=Y.context,Ie=de.gl,$e=z.fbo;if($e){var pt=Y.useProgram(\"hillshade\");de.activeTexture.set(Ie.TEXTURE0),Ie.bindTexture(Ie.TEXTURE_2D,$e.colorAttachment.get());var Kt=Ta(Y,z,K);pt.draw(de,Ie.TRIANGLES,O,$,pe,yr.disabled,Kt,K.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function et(Y,z,K,O,$,pe){var de=Y.context,Ie=de.gl,$e=z.dem;if($e&&$e.data){var pt=$e.dim,Kt=$e.stride,ir=$e.getPixels();if(de.activeTexture.set(Ie.TEXTURE1),de.pixelStoreUnpackPremultiplyAlpha.set(!1),z.demTexture=z.demTexture||Y.getTileTexture(Kt),z.demTexture){var Jt=z.demTexture;Jt.update(ir,{premultiply:!1}),Jt.bind(Ie.NEAREST,Ie.CLAMP_TO_EDGE)}else z.demTexture=new i.Texture(de,ir,Ie.RGBA,{premultiply:!1}),z.demTexture.bind(Ie.NEAREST,Ie.CLAMP_TO_EDGE);de.activeTexture.set(Ie.TEXTURE0);var vt=z.fbo;if(!vt){var Pt=new i.Texture(de,{width:pt,height:pt,data:null},Ie.RGBA);Pt.bind(Ie.LINEAR,Ie.CLAMP_TO_EDGE),vt=z.fbo=de.createFramebuffer(pt,pt,!0),vt.colorAttachment.set(Pt.texture)}de.bindFramebuffer.set(vt.framebuffer),de.viewport.set([0,0,pt,pt]),Y.useProgram(\"hillshadePrepare\").draw(de,Ie.TRIANGLES,O,$,pe,yr.disabled,Ea(z.tileID,$e),K.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments),z.needsHillshadePrepare=!1}}function Mt(Y,z,K,O){if(Y.renderPass===\"translucent\"&&K.paint.get(\"raster-opacity\")!==0&&O.length)for(var $=Y.context,pe=$.gl,de=z.getSource(),Ie=Y.useProgram(\"raster\"),$e=Y.colorModeForRenderPass(),pt=de instanceof ke?[{},O]:Y.stencilConfigForOverlap(O),Kt=pt[0],ir=pt[1],Jt=ir[ir.length-1].overscaledZ,vt=!Y.options.moving,Pt=0,Wt=ir;Pt<Wt.length;Pt+=1){var rr=Wt[Pt],dr=Y.depthModeForSublayer(rr.overscaledZ-Jt,K.paint.get(\"raster-opacity\")===1?Wi.ReadWrite:Wi.ReadOnly,pe.LESS),pr=z.getTile(rr),kr=Y.transform.calculatePosMatrix(rr.toUnwrapped(),vt);pr.registerFadeDuration(K.paint.get(\"raster-fade-duration\"));var Ar=z.findLoadedParent(rr,0),gr=Dt(pr,Ar,z,K,Y.transform),Cr=void 0,cr=void 0,Gr=K.paint.get(\"raster-resampling\")===\"nearest\"?pe.NEAREST:pe.LINEAR;$.activeTexture.set(pe.TEXTURE0),pr.texture.bind(Gr,pe.CLAMP_TO_EDGE,pe.LINEAR_MIPMAP_NEAREST),$.activeTexture.set(pe.TEXTURE1),Ar?(Ar.texture.bind(Gr,pe.CLAMP_TO_EDGE,pe.LINEAR_MIPMAP_NEAREST),Cr=Math.pow(2,Ar.tileID.overscaledZ-pr.tileID.overscaledZ),cr=[pr.tileID.canonical.x*Cr%1,pr.tileID.canonical.y*Cr%1]):pr.texture.bind(Gr,pe.CLAMP_TO_EDGE,pe.LINEAR_MIPMAP_NEAREST);var ei=Rs(kr,cr||[0,0],Cr||1,gr,K);de instanceof ke?Ie.draw($,pe.TRIANGLES,dr,$i.disabled,$e,yr.disabled,ei,K.id,de.boundsBuffer,Y.quadTriangleIndexBuffer,de.boundsSegments):Ie.draw($,pe.TRIANGLES,dr,Kt[rr.overscaledZ],$e,yr.disabled,ei,K.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function Dt(Y,z,K,O,$){var pe=O.paint.get(\"raster-fade-duration\");if(pe>0){var de=i.browser.now(),Ie=(de-Y.timeAdded)/pe,$e=z?(de-z.timeAdded)/pe:-1,pt=K.getSource(),Kt=$.coveringZoomLevel({tileSize:pt.tileSize,roundZoom:pt.roundZoom}),ir=!z||Math.abs(z.tileID.overscaledZ-Kt)>Math.abs(Y.tileID.overscaledZ-Kt),Jt=ir&&Y.refreshedUponExpiration?1:i.clamp(ir?Ie:1-$e,0,1);return Y.refreshedUponExpiration&&Ie>=1&&(Y.refreshedUponExpiration=!1),z?{opacity:1,mix:1-Jt}:{opacity:Jt,mix:0}}else return{opacity:1,mix:0}}function Ut(Y,z,K){var O=K.paint.get(\"background-color\"),$=K.paint.get(\"background-opacity\");if($!==0){var pe=Y.context,de=pe.gl,Ie=Y.transform,$e=Ie.tileSize,pt=K.paint.get(\"background-pattern\");if(!Y.isPatternMissing(pt)){var Kt=!pt&&O.a===1&&$===1&&Y.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Y.renderPass===Kt){var ir=$i.disabled,Jt=Y.depthModeForSublayer(0,Kt===\"opaque\"?Wi.ReadWrite:Wi.ReadOnly),vt=Y.colorModeForRenderPass(),Pt=Y.useProgram(pt?\"backgroundPattern\":\"background\"),Wt=Ie.coveringTiles({tileSize:$e});pt&&(pe.activeTexture.set(de.TEXTURE0),Y.imageManager.bind(Y.context));for(var rr=K.getCrossfadeParameters(),dr=0,pr=Wt;dr<pr.length;dr+=1){var kr=pr[dr],Ar=Y.transform.calculatePosMatrix(kr.toUnwrapped()),gr=pt?Da(Ar,$,Y,pt,{tileID:kr,tileSize:$e},rr):Dc(Ar,$,O);Pt.draw(pe,de.TRIANGLES,Jt,ir,vt,yr.disabled,gr,K.id,Y.tileExtentBuffer,Y.quadTriangleIndexBuffer,Y.tileExtentSegments)}}}}}var tr=new i.Color(1,0,0,1),mr=new i.Color(0,1,0,1),Rr=new i.Color(0,0,1,1),zr=new i.Color(1,0,1,1),Xr=new i.Color(0,1,1,1);function di(Y){var z=Y.transform.padding,K=3;Ci(Y,Y.transform.height-(z.top||0),K,tr),Ci(Y,z.bottom||0,K,mr),Qi(Y,z.left||0,K,Rr),Qi(Y,Y.transform.width-(z.right||0),K,zr);var O=Y.transform.centerPoint;Li(Y,O.x,Y.transform.height-O.y,Xr)}function Li(Y,z,K,O){var $=20,pe=2;Mn(Y,z-pe/2,K-$/2,pe,$,O),Mn(Y,z-$/2,K-pe/2,$,pe,O)}function Ci(Y,z,K,O){Mn(Y,0,z+K/2,Y.transform.width,K,O)}function Qi(Y,z,K,O){Mn(Y,z-K/2,0,K,Y.transform.height,O)}function Mn(Y,z,K,O,$,pe){var de=Y.context,Ie=de.gl;Ie.enable(Ie.SCISSOR_TEST),Ie.scissor(z*i.browser.devicePixelRatio,K*i.browser.devicePixelRatio,O*i.browser.devicePixelRatio,$*i.browser.devicePixelRatio),de.clear({color:pe}),Ie.disable(Ie.SCISSOR_TEST)}function pa(Y,z,K){for(var O=0;O<K.length;O++)ea(Y,z,K[O])}function ea(Y,z,K){var O=Y.context,$=O.gl,pe=K.posMatrix,de=Y.useProgram(\"debug\"),Ie=Wi.disabled,$e=$i.disabled,pt=Y.colorModeForRenderPass(),Kt=\"$debug\";O.activeTexture.set($.TEXTURE0),Y.emptyTexture.bind($.LINEAR,$.CLAMP_TO_EDGE),de.draw(O,$.LINE_STRIP,Ie,$e,pt,yr.disabled,Fi(pe,i.Color.red),Kt,Y.debugBuffer,Y.tileBorderIndexBuffer,Y.debugSegments);var ir=z.getTileByID(K.key).latestRawTileData,Jt=ir&&ir.byteLength||0,vt=Math.floor(Jt/1024),Pt=z.getTile(K).tileSize,Wt=512/Math.min(Pt,512)*(K.overscaledZ/Y.transform.zoom)*.5,rr=K.canonical.toString();K.overscaledZ!==K.canonical.z&&(rr+=\" => \"+K.overscaledZ);var dr=rr+\" \"+vt+\"kb\";Ga(Y,dr),de.draw(O,$.TRIANGLES,Ie,$e,ft.alphaBlended,yr.disabled,Fi(pe,i.Color.transparent,Wt),Kt,Y.debugBuffer,Y.quadTriangleIndexBuffer,Y.debugSegments)}function Ga(Y,z){Y.initDebugOverlayCanvas();var K=Y.debugOverlayCanvas,O=Y.context.gl,$=Y.debugOverlayCanvas.getContext(\"2d\");$.clearRect(0,0,K.width,K.height),$.shadowColor=\"white\",$.shadowBlur=2,$.lineWidth=1.5,$.strokeStyle=\"white\",$.textBaseline=\"top\",$.font=\"bold 36px Open Sans, sans-serif\",$.fillText(z,5,5),$.strokeText(z,5,5),Y.debugOverlayTexture.update(K),Y.debugOverlayTexture.bind(O.LINEAR,O.CLAMP_TO_EDGE)}function To(Y,z,K){var O=Y.context,$=K.implementation;if(Y.renderPass===\"offscreen\"){var pe=$.prerender;pe&&(Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),pe.call($,O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState())}else if(Y.renderPass===\"translucent\"){Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),O.setStencilMode($i.disabled);var de=$.renderingMode===\"3d\"?new Wi(Y.context.gl.LEQUAL,Wi.ReadWrite,Y.depthRangeFor3D):Y.depthModeForSublayer(0,Wi.ReadOnly);O.setDepthMode(de),$.render(O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState(),O.bindFramebuffer.set(null)}}var Wa={symbol:w,circle:it,heatmap:yt,line:Sr,fill:he,\"fill-extrusion\":Pe,hillshade:Je,raster:Mt,background:Ut,debug:pa,custom:To},co=function(z,K){this.context=new Fr(z),this.transform=K,this._tileTextures={},this.setup(),this.numSublayers=Zr.maxUnderzooming+Zr.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new rh,this.gpuTimers={}};co.prototype.resize=function(z,K){if(this.width=z*i.browser.devicePixelRatio,this.height=K*i.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var O=0,$=this.style._order;O<$.length;O+=1){var pe=$[O];this.style._layers[pe].resize()}},co.prototype.setup=function(){var z=this.context,K=new i.StructArrayLayout2i4;K.emplaceBack(0,0),K.emplaceBack(i.EXTENT,0),K.emplaceBack(0,i.EXTENT),K.emplaceBack(i.EXTENT,i.EXTENT),this.tileExtentBuffer=z.createVertexBuffer(K,kc.members),this.tileExtentSegments=i.SegmentVector.simpleSegment(0,0,4,2);var O=new i.StructArrayLayout2i4;O.emplaceBack(0,0),O.emplaceBack(i.EXTENT,0),O.emplaceBack(0,i.EXTENT),O.emplaceBack(i.EXTENT,i.EXTENT),this.debugBuffer=z.createVertexBuffer(O,kc.members),this.debugSegments=i.SegmentVector.simpleSegment(0,0,4,5);var $=new i.StructArrayLayout4i8;$.emplaceBack(0,0,0,0),$.emplaceBack(i.EXTENT,0,i.EXTENT,0),$.emplaceBack(0,i.EXTENT,0,i.EXTENT),$.emplaceBack(i.EXTENT,i.EXTENT,i.EXTENT,i.EXTENT),this.rasterBoundsBuffer=z.createVertexBuffer($,Me.members),this.rasterBoundsSegments=i.SegmentVector.simpleSegment(0,0,4,2);var pe=new i.StructArrayLayout2i4;pe.emplaceBack(0,0),pe.emplaceBack(1,0),pe.emplaceBack(0,1),pe.emplaceBack(1,1),this.viewportBuffer=z.createVertexBuffer(pe,kc.members),this.viewportSegments=i.SegmentVector.simpleSegment(0,0,4,2);var de=new i.StructArrayLayout1ui2;de.emplaceBack(0),de.emplaceBack(1),de.emplaceBack(3),de.emplaceBack(2),de.emplaceBack(0),this.tileBorderIndexBuffer=z.createIndexBuffer(de);var Ie=new i.StructArrayLayout3ui6;Ie.emplaceBack(0,1,2),Ie.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=z.createIndexBuffer(Ie),this.emptyTexture=new i.Texture(z,{width:1,height:1,data:new Uint8Array([0,0,0,0])},z.gl.RGBA);var $e=this.context.gl;this.stencilClearMode=new $i({func:$e.ALWAYS,mask:0},0,255,$e.ZERO,$e.ZERO,$e.ZERO)},co.prototype.clearStencil=function(){var z=this.context,K=z.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var O=i.create();i.ortho(O,0,this.width,this.height,0,0,1),i.scale(O,O,[K.drawingBufferWidth,K.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(z,K.TRIANGLES,Wi.disabled,this.stencilClearMode,ft.disabled,yr.disabled,hn(O),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},co.prototype._renderTileClippingMasks=function(z,K){if(!(this.currentStencilSource===z.source||!z.isTileClipped()||!K||!K.length)){this.currentStencilSource=z.source;var O=this.context,$=O.gl;this.nextStencilID+K.length>256&&this.clearStencil(),O.setColorMode(ft.disabled),O.setDepthMode(Wi.disabled);var pe=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var de=0,Ie=K;de<Ie.length;de+=1){var $e=Ie[de],pt=this._tileClippingMaskIDs[$e.key]=this.nextStencilID++;pe.draw(O,$.TRIANGLES,Wi.disabled,new $i({func:$.ALWAYS,mask:0},pt,255,$.KEEP,$.KEEP,$.REPLACE),ft.disabled,yr.disabled,hn($e.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},co.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var z=this.nextStencilID++,K=this.context.gl;return new $i({func:K.NOTEQUAL,mask:255},z,255,K.KEEP,K.KEEP,K.REPLACE)},co.prototype.stencilModeForClipping=function(z){var K=this.context.gl;return new $i({func:K.EQUAL,mask:255},this._tileClippingMaskIDs[z.key],0,K.KEEP,K.KEEP,K.REPLACE)},co.prototype.stencilConfigForOverlap=function(z){var K,O=this.context.gl,$=z.sort(function(pt,Kt){return Kt.overscaledZ-pt.overscaledZ}),pe=$[$.length-1].overscaledZ,de=$[0].overscaledZ-pe+1;if(de>1){this.currentStencilSource=void 0,this.nextStencilID+de>256&&this.clearStencil();for(var Ie={},$e=0;$e<de;$e++)Ie[$e+pe]=new $i({func:O.GEQUAL,mask:255},$e+this.nextStencilID,255,O.KEEP,O.KEEP,O.REPLACE);return this.nextStencilID+=de,[Ie,$]}return[(K={},K[pe]=$i.disabled,K),$]},co.prototype.colorModeForRenderPass=function(){var z=this.context.gl;if(this._showOverdrawInspector){var K=8,O=1/K;return new ft([z.CONSTANT_COLOR,z.ONE],new i.Color(O,O,O,0),[!0,!0,!0,!0])}else return this.renderPass===\"opaque\"?ft.unblended:ft.alphaBlended},co.prototype.depthModeForSublayer=function(z,K,O){if(!this.opaquePassEnabledForLayer())return Wi.disabled;var $=1-((1+this.currentLayer)*this.numSublayers+z)*this.depthEpsilon;return new Wi(O||this.context.gl.LEQUAL,K,[$,$])},co.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},co.prototype.render=function(z,K){var O=this;this.style=z,this.options=K,this.lineAtlas=z.lineAtlas,this.imageManager=z.imageManager,this.glyphManager=z.glyphManager,this.symbolFadeChange=z.placement.symbolFadeChange(i.browser.now()),this.imageManager.beginFrame();var $=this.style._order,pe=this.style.sourceCaches;for(var de in pe){var Ie=pe[de];Ie.used&&Ie.prepare(this.context)}var $e={},pt={},Kt={};for(var ir in pe){var Jt=pe[ir];$e[ir]=Jt.getVisibleCoordinates(),pt[ir]=$e[ir].slice().reverse(),Kt[ir]=Jt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var vt=0;vt<$.length;vt++){var Pt=$[vt];if(this.style._layers[Pt].is3D()){this.opaquePassCutoff=vt;break}}this.renderPass=\"offscreen\";for(var Wt=0,rr=$;Wt<rr.length;Wt+=1){var dr=rr[Wt],pr=this.style._layers[dr];if(!(!pr.hasOffscreenPass()||pr.isHidden(this.transform.zoom))){var kr=pt[pr.source];pr.type!==\"custom\"&&!kr.length||this.renderLayer(this,pe[pr.source],pr,kr)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:K.showOverdrawInspector?i.Color.black:i.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=K.showOverdrawInspector,this.depthRangeFor3D=[0,1-(z._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=$.length-1;this.currentLayer>=0;this.currentLayer--){var Ar=this.style._layers[$[this.currentLayer]],gr=pe[Ar.source],Cr=$e[Ar.source];this._renderTileClippingMasks(Ar,Cr),this.renderLayer(this,gr,Ar,Cr)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<$.length;this.currentLayer++){var cr=this.style._layers[$[this.currentLayer]],Gr=pe[cr.source],ei=(cr.type===\"symbol\"?Kt:pt)[cr.source];this._renderTileClippingMasks(cr,$e[cr.source]),this.renderLayer(this,Gr,cr,ei)}if(this.options.showTileBoundaries){var yi,tn,Ri=i.values(this.style._layers);Ri.forEach(function(ln){ln.source&&!ln.isHidden(O.transform.zoom)&&(ln.source!==(tn&&tn.id)&&(tn=O.style.sourceCaches[ln.source]),(!yi||yi.getSource().maxzoom<tn.getSource().maxzoom)&&(yi=tn))}),yi&&Wa.debug(this,yi,yi.getVisibleCoordinates())}this.options.showPadding&&di(this),this.context.setDefault()},co.prototype.renderLayer=function(z,K,O,$){O.isHidden(this.transform.zoom)||O.type!==\"background\"&&O.type!==\"custom\"&&!$.length||(this.id=O.id,this.gpuTimingStart(O),Wa[O.type](z,K,O,$,this.style.placement.variableOffsets),this.gpuTimingEnd())},co.prototype.gpuTimingStart=function(z){if(this.options.gpuTiming){var K=this.context.extTimerQuery,O=this.gpuTimers[z.id];O||(O=this.gpuTimers[z.id]={calls:0,cpuTime:0,query:K.createQueryEXT()}),O.calls++,K.beginQueryEXT(K.TIME_ELAPSED_EXT,O.query)}},co.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var z=this.context.extTimerQuery;z.endQueryEXT(z.TIME_ELAPSED_EXT)}},co.prototype.collectGpuTimers=function(){var z=this.gpuTimers;return this.gpuTimers={},z},co.prototype.queryGpuTimers=function(z){var K={};for(var O in z){var $=z[O],pe=this.context.extTimerQuery,de=pe.getQueryObjectEXT($.query,pe.QUERY_RESULT_EXT)/(1e3*1e3);pe.deleteQueryEXT($.query),K[O]=de}return K},co.prototype.translatePosMatrix=function(z,K,O,$,pe){if(!O[0]&&!O[1])return z;var de=pe?$===\"map\"?this.transform.angle:0:$===\"viewport\"?-this.transform.angle:0;if(de){var Ie=Math.sin(de),$e=Math.cos(de);O=[O[0]*$e-O[1]*Ie,O[0]*Ie+O[1]*$e]}var pt=[pe?O[0]:Cs(K,O[0],this.transform.zoom),pe?O[1]:Cs(K,O[1],this.transform.zoom),0],Kt=new Float32Array(16);return i.translate(Kt,z,pt),Kt},co.prototype.saveTileTexture=function(z){var K=this._tileTextures[z.size[0]];K?K.push(z):this._tileTextures[z.size[0]]=[z]},co.prototype.getTileTexture=function(z){var K=this._tileTextures[z];return K&&K.length>0?K.pop():null},co.prototype.isPatternMissing=function(z){if(!z)return!1;if(!z.from||!z.to)return!0;var K=this.imageManager.getPattern(z.from.toString()),O=this.imageManager.getPattern(z.to.toString());return!K||!O},co.prototype.useProgram=function(z,K){this.cache=this.cache||{};var O=\"\"+z+(K?K.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[O]||(this.cache[O]=new Vf(this.context,z,Pf[z],K,eo[z],this._showOverdrawInspector)),this.cache[O]},co.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},co.prototype.setBaseState=function(){var z=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(z.FUNC_ADD)},co.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=i.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var z=this.context.gl;this.debugOverlayTexture=new i.Texture(this.context,this.debugOverlayCanvas,z.RGBA)}},co.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Ro=function(z,K){this.points=z,this.planes=K};Ro.fromInvProjectionMatrix=function(z,K,O){var $=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]],pe=Math.pow(2,O),de=$.map(function(pt){return i.transformMat4([],pt,z)}).map(function(pt){return i.scale$1([],pt,1/pt[3]/K*pe)}),Ie=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],$e=Ie.map(function(pt){var Kt=i.sub([],de[pt[0]],de[pt[1]]),ir=i.sub([],de[pt[2]],de[pt[1]]),Jt=i.normalize([],i.cross([],Kt,ir)),vt=-i.dot(Jt,de[pt[1]]);return Jt.concat(vt)});return new Ro(de,$e)};var Ds=function(z,K){this.min=z,this.max=K,this.center=i.scale$2([],i.add([],this.min,this.max),.5)};Ds.prototype.quadrant=function(z){for(var K=[z%2===0,z<2],O=i.clone$2(this.min),$=i.clone$2(this.max),pe=0;pe<K.length;pe++)O[pe]=K[pe]?this.min[pe]:this.center[pe],$[pe]=K[pe]?this.center[pe]:this.max[pe];return $[2]=this.max[2],new Ds(O,$)},Ds.prototype.distanceX=function(z){var K=Math.max(Math.min(this.max[0],z[0]),this.min[0]);return K-z[0]},Ds.prototype.distanceY=function(z){var K=Math.max(Math.min(this.max[1],z[1]),this.min[1]);return K-z[1]},Ds.prototype.intersects=function(z){for(var K=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],O=!0,$=0;$<z.planes.length;$++){for(var pe=z.planes[$],de=0,Ie=0;Ie<K.length;Ie++)de+=i.dot$1(pe,K[Ie])>=0;if(de===0)return 0;de!==K.length&&(O=!1)}if(O)return 2;for(var $e=0;$e<3;$e++){for(var pt=Number.MAX_VALUE,Kt=-Number.MAX_VALUE,ir=0;ir<z.points.length;ir++){var Jt=z.points[ir][$e]-this.min[$e];pt=Math.min(pt,Jt),Kt=Math.max(Kt,Jt)}if(Kt<0||pt>this.max[$e]-this.min[$e])return 0}return 1};var As=function(z,K,O,$){if(z===void 0&&(z=0),K===void 0&&(K=0),O===void 0&&(O=0),$===void 0&&($=0),isNaN(z)||z<0||isNaN(K)||K<0||isNaN(O)||O<0||isNaN($)||$<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=z,this.bottom=K,this.left=O,this.right=$};As.prototype.interpolate=function(z,K,O){return K.top!=null&&z.top!=null&&(this.top=i.number(z.top,K.top,O)),K.bottom!=null&&z.bottom!=null&&(this.bottom=i.number(z.bottom,K.bottom,O)),K.left!=null&&z.left!=null&&(this.left=i.number(z.left,K.left,O)),K.right!=null&&z.right!=null&&(this.right=i.number(z.right,K.right,O)),this},As.prototype.getCenter=function(z,K){var O=i.clamp((this.left+z-this.right)/2,0,z),$=i.clamp((this.top+K-this.bottom)/2,0,K);return new i.Point(O,$)},As.prototype.equals=function(z){return this.top===z.top&&this.bottom===z.bottom&&this.left===z.left&&this.right===z.right},As.prototype.clone=function(){return new As(this.top,this.bottom,this.left,this.right)},As.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var yo=function(z,K,O,$,pe){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=pe===void 0?!0:pe,this._minZoom=z||0,this._maxZoom=K||22,this._minPitch=O==null?0:O,this._maxPitch=$==null?60:$,this.setMaxBounds(),this.width=0,this.height=0,this._center=new i.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new As,this._posMatrixCache={},this._alignedPosMatrixCache={}},po={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};yo.prototype.clone=function(){var z=new yo(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return z.tileSize=this.tileSize,z.latRange=this.latRange,z.width=this.width,z.height=this.height,z._center=this._center,z.zoom=this.zoom,z.angle=this.angle,z._fov=this._fov,z._pitch=this._pitch,z._unmodified=this._unmodified,z._edgeInsets=this._edgeInsets.clone(),z._calcMatrices(),z},po.minZoom.get=function(){return this._minZoom},po.minZoom.set=function(Y){this._minZoom!==Y&&(this._minZoom=Y,this.zoom=Math.max(this.zoom,Y))},po.maxZoom.get=function(){return this._maxZoom},po.maxZoom.set=function(Y){this._maxZoom!==Y&&(this._maxZoom=Y,this.zoom=Math.min(this.zoom,Y))},po.minPitch.get=function(){return this._minPitch},po.minPitch.set=function(Y){this._minPitch!==Y&&(this._minPitch=Y,this.pitch=Math.max(this.pitch,Y))},po.maxPitch.get=function(){return this._maxPitch},po.maxPitch.set=function(Y){this._maxPitch!==Y&&(this._maxPitch=Y,this.pitch=Math.min(this.pitch,Y))},po.renderWorldCopies.get=function(){return this._renderWorldCopies},po.renderWorldCopies.set=function(Y){Y===void 0?Y=!0:Y===null&&(Y=!1),this._renderWorldCopies=Y},po.worldSize.get=function(){return this.tileSize*this.scale},po.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},po.size.get=function(){return new i.Point(this.width,this.height)},po.bearing.get=function(){return-this.angle/Math.PI*180},po.bearing.set=function(Y){var z=-i.wrap(Y,-180,180)*Math.PI/180;this.angle!==z&&(this._unmodified=!1,this.angle=z,this._calcMatrices(),this.rotationMatrix=i.create$2(),i.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},po.pitch.get=function(){return this._pitch/Math.PI*180},po.pitch.set=function(Y){var z=i.clamp(Y,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==z&&(this._unmodified=!1,this._pitch=z,this._calcMatrices())},po.fov.get=function(){return this._fov/Math.PI*180},po.fov.set=function(Y){Y=Math.max(.01,Math.min(60,Y)),this._fov!==Y&&(this._unmodified=!1,this._fov=Y/180*Math.PI,this._calcMatrices())},po.zoom.get=function(){return this._zoom},po.zoom.set=function(Y){var z=Math.min(Math.max(Y,this.minZoom),this.maxZoom);this._zoom!==z&&(this._unmodified=!1,this._zoom=z,this.scale=this.zoomScale(z),this.tileZoom=Math.floor(z),this.zoomFraction=z-this.tileZoom,this._constrain(),this._calcMatrices())},po.center.get=function(){return this._center},po.center.set=function(Y){Y.lat===this._center.lat&&Y.lng===this._center.lng||(this._unmodified=!1,this._center=Y,this._constrain(),this._calcMatrices())},po.padding.get=function(){return this._edgeInsets.toJSON()},po.padding.set=function(Y){this._edgeInsets.equals(Y)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,Y,1),this._calcMatrices())},po.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},yo.prototype.isPaddingEqual=function(z){return this._edgeInsets.equals(z)},yo.prototype.interpolatePadding=function(z,K,O){this._unmodified=!1,this._edgeInsets.interpolate(z,K,O),this._constrain(),this._calcMatrices()},yo.prototype.coveringZoomLevel=function(z){var K=(z.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/z.tileSize));return Math.max(0,K)},yo.prototype.getVisibleUnwrappedCoordinates=function(z){var K=[new i.UnwrappedTileID(0,z)];if(this._renderWorldCopies)for(var O=this.pointCoordinate(new i.Point(0,0)),$=this.pointCoordinate(new i.Point(this.width,0)),pe=this.pointCoordinate(new i.Point(this.width,this.height)),de=this.pointCoordinate(new i.Point(0,this.height)),Ie=Math.floor(Math.min(O.x,$.x,pe.x,de.x)),$e=Math.floor(Math.max(O.x,$.x,pe.x,de.x)),pt=1,Kt=Ie-pt;Kt<=$e+pt;Kt++)Kt!==0&&K.push(new i.UnwrappedTileID(Kt,z));return K},yo.prototype.coveringTiles=function(z){var K=this.coveringZoomLevel(z),O=K;if(z.minzoom!==void 0&&K<z.minzoom)return[];z.maxzoom!==void 0&&K>z.maxzoom&&(K=z.maxzoom);var $=i.MercatorCoordinate.fromLngLat(this.center),pe=Math.pow(2,K),de=[pe*$.x,pe*$.y,0],Ie=Ro.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,K),$e=z.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&($e=K);var pt=3,Kt=function(Ri){return{aabb:new Ds([Ri*pe,0,0],[(Ri+1)*pe,pe,0]),zoom:0,x:0,y:0,wrap:Ri,fullyVisible:!1}},ir=[],Jt=[],vt=K,Pt=z.reparseOverscaled?O:K;if(this._renderWorldCopies)for(var Wt=1;Wt<=3;Wt++)ir.push(Kt(-Wt)),ir.push(Kt(Wt));for(ir.push(Kt(0));ir.length>0;){var rr=ir.pop(),dr=rr.x,pr=rr.y,kr=rr.fullyVisible;if(!kr){var Ar=rr.aabb.intersects(Ie);if(Ar===0)continue;kr=Ar===2}var gr=rr.aabb.distanceX(de),Cr=rr.aabb.distanceY(de),cr=Math.max(Math.abs(gr),Math.abs(Cr)),Gr=pt+(1<<vt-rr.zoom)-2;if(rr.zoom===vt||cr>Gr&&rr.zoom>=$e){Jt.push({tileID:new i.OverscaledTileID(rr.zoom===vt?Pt:rr.zoom,rr.wrap,rr.zoom,dr,pr),distanceSq:i.sqrLen([de[0]-.5-dr,de[1]-.5-pr])});continue}for(var ei=0;ei<4;ei++){var yi=(dr<<1)+ei%2,tn=(pr<<1)+(ei>>1);ir.push({aabb:rr.aabb.quadrant(ei),zoom:rr.zoom+1,x:yi,y:tn,wrap:rr.wrap,fullyVisible:kr})}}return Jt.sort(function(Ri,ln){return Ri.distanceSq-ln.distanceSq}).map(function(Ri){return Ri.tileID})},yo.prototype.resize=function(z,K){this.width=z,this.height=K,this.pixelsToGLUnits=[2/z,-2/K],this._constrain(),this._calcMatrices()},po.unmodified.get=function(){return this._unmodified},yo.prototype.zoomScale=function(z){return Math.pow(2,z)},yo.prototype.scaleZoom=function(z){return Math.log(z)/Math.LN2},yo.prototype.project=function(z){var K=i.clamp(z.lat,-this.maxValidLatitude,this.maxValidLatitude);return new i.Point(i.mercatorXfromLng(z.lng)*this.worldSize,i.mercatorYfromLat(K)*this.worldSize)},yo.prototype.unproject=function(z){return new i.MercatorCoordinate(z.x/this.worldSize,z.y/this.worldSize).toLngLat()},po.point.get=function(){return this.project(this.center)},yo.prototype.setLocationAtPoint=function(z,K){var O=this.pointCoordinate(K),$=this.pointCoordinate(this.centerPoint),pe=this.locationCoordinate(z),de=new i.MercatorCoordinate(pe.x-(O.x-$.x),pe.y-(O.y-$.y));this.center=this.coordinateLocation(de),this._renderWorldCopies&&(this.center=this.center.wrap())},yo.prototype.locationPoint=function(z){return this.coordinatePoint(this.locationCoordinate(z))},yo.prototype.pointLocation=function(z){return this.coordinateLocation(this.pointCoordinate(z))},yo.prototype.locationCoordinate=function(z){return i.MercatorCoordinate.fromLngLat(z)},yo.prototype.coordinateLocation=function(z){return z.toLngLat()},yo.prototype.pointCoordinate=function(z){var K=0,O=[z.x,z.y,0,1],$=[z.x,z.y,1,1];i.transformMat4(O,O,this.pixelMatrixInverse),i.transformMat4($,$,this.pixelMatrixInverse);var pe=O[3],de=$[3],Ie=O[0]/pe,$e=$[0]/de,pt=O[1]/pe,Kt=$[1]/de,ir=O[2]/pe,Jt=$[2]/de,vt=ir===Jt?0:(K-ir)/(Jt-ir);return new i.MercatorCoordinate(i.number(Ie,$e,vt)/this.worldSize,i.number(pt,Kt,vt)/this.worldSize)},yo.prototype.coordinatePoint=function(z){var K=[z.x*this.worldSize,z.y*this.worldSize,0,1];return i.transformMat4(K,K,this.pixelMatrix),new i.Point(K[0]/K[3],K[1]/K[3])},yo.prototype.getBounds=function(){return new i.LngLatBounds().extend(this.pointLocation(new i.Point(0,0))).extend(this.pointLocation(new i.Point(this.width,0))).extend(this.pointLocation(new i.Point(this.width,this.height))).extend(this.pointLocation(new i.Point(0,this.height)))},yo.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new i.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},yo.prototype.setMaxBounds=function(z){z?(this.lngRange=[z.getWest(),z.getEast()],this.latRange=[z.getSouth(),z.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},yo.prototype.calculatePosMatrix=function(z,K){K===void 0&&(K=!1);var O=z.key,$=K?this._alignedPosMatrixCache:this._posMatrixCache;if($[O])return $[O];var pe=z.canonical,de=this.worldSize/this.zoomScale(pe.z),Ie=pe.x+Math.pow(2,pe.z)*z.wrap,$e=i.identity(new Float64Array(16));return i.translate($e,$e,[Ie*de,pe.y*de,0]),i.scale($e,$e,[de/i.EXTENT,de/i.EXTENT,1]),i.multiply($e,K?this.alignedProjMatrix:this.projMatrix,$e),$[O]=new Float32Array($e),$[O]},yo.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},yo.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var z=-90,K=90,O=-180,$=180,pe,de,Ie,$e,pt=this.size,Kt=this._unmodified;if(this.latRange){var ir=this.latRange;z=i.mercatorYfromLat(ir[1])*this.worldSize,K=i.mercatorYfromLat(ir[0])*this.worldSize,pe=K-z<pt.y?pt.y/(K-z):0}if(this.lngRange){var Jt=this.lngRange;O=i.mercatorXfromLng(Jt[0])*this.worldSize,$=i.mercatorXfromLng(Jt[1])*this.worldSize,de=$-O<pt.x?pt.x/($-O):0}var vt=this.point,Pt=Math.max(de||0,pe||0);if(Pt){this.center=this.unproject(new i.Point(de?($+O)/2:vt.x,pe?(K+z)/2:vt.y)),this.zoom+=this.scaleZoom(Pt),this._unmodified=Kt,this._constraining=!1;return}if(this.latRange){var Wt=vt.y,rr=pt.y/2;Wt-rr<z&&($e=z+rr),Wt+rr>K&&($e=K-rr)}if(this.lngRange){var dr=vt.x,pr=pt.x/2;dr-pr<O&&(Ie=O+pr),dr+pr>$&&(Ie=$-pr)}(Ie!==void 0||$e!==void 0)&&(this.center=this.unproject(new i.Point(Ie!==void 0?Ie:vt.x,$e!==void 0?$e:vt.y))),this._unmodified=Kt,this._constraining=!1}},yo.prototype._calcMatrices=function(){if(this.height){var z=this._fov/2,K=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(z)*this.height;var O=Math.PI/2+this._pitch,$=this._fov*(.5+K.y/this.height),pe=Math.sin($)*this.cameraToCenterDistance/Math.sin(i.clamp(Math.PI-O-$,.01,Math.PI-.01)),de=this.point,Ie=de.x,$e=de.y,pt=Math.cos(Math.PI/2-this._pitch)*pe+this.cameraToCenterDistance,Kt=pt*1.01,ir=this.height/50,Jt=new Float64Array(16);i.perspective(Jt,this._fov,this.width/this.height,ir,Kt),Jt[8]=-K.x*2/this.width,Jt[9]=K.y*2/this.height,i.scale(Jt,Jt,[1,-1,1]),i.translate(Jt,Jt,[0,0,-this.cameraToCenterDistance]),i.rotateX(Jt,Jt,this._pitch),i.rotateZ(Jt,Jt,this.angle),i.translate(Jt,Jt,[-Ie,-$e,0]),this.mercatorMatrix=i.scale([],Jt,[this.worldSize,this.worldSize,this.worldSize]),i.scale(Jt,Jt,[1,1,i.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=Jt,this.invProjMatrix=i.invert([],this.projMatrix);var vt=this.width%2/2,Pt=this.height%2/2,Wt=Math.cos(this.angle),rr=Math.sin(this.angle),dr=Ie-Math.round(Ie)+Wt*vt+rr*Pt,pr=$e-Math.round($e)+Wt*Pt+rr*vt,kr=new Float64Array(Jt);if(i.translate(kr,kr,[dr>.5?dr-1:dr,pr>.5?pr-1:pr,0]),this.alignedProjMatrix=kr,Jt=i.create(),i.scale(Jt,Jt,[this.width/2,-this.height/2,1]),i.translate(Jt,Jt,[1,-1,0]),this.labelPlaneMatrix=Jt,Jt=i.create(),i.scale(Jt,Jt,[1,-1,1]),i.translate(Jt,Jt,[-1,-1,0]),i.scale(Jt,Jt,[2/this.width,2/this.height,1]),this.glCoordMatrix=Jt,this.pixelMatrix=i.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),Jt=i.invert(new Float64Array(16),this.pixelMatrix),!Jt)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=Jt,this._posMatrixCache={},this._alignedPosMatrixCache={}}},yo.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var z=this.pointCoordinate(new i.Point(0,0)),K=[z.x*this.worldSize,z.y*this.worldSize,0,1],O=i.transformMat4(K,K,this.pixelMatrix);return O[3]/this.cameraToCenterDistance},yo.prototype.getCameraPoint=function(){var z=this._pitch,K=Math.tan(z)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new i.Point(0,K))},yo.prototype.getCameraQueryGeometry=function(z){var K=this.getCameraPoint();if(z.length===1)return[z[0],K];for(var O=K.x,$=K.y,pe=K.x,de=K.y,Ie=0,$e=z;Ie<$e.length;Ie+=1){var pt=$e[Ie];O=Math.min(O,pt.x),$=Math.min($,pt.y),pe=Math.max(pe,pt.x),de=Math.max(de,pt.y)}return[new i.Point(O,$),new i.Point(pe,$),new i.Point(pe,de),new i.Point(O,de),new i.Point(O,$)]},Object.defineProperties(yo.prototype,po);function _l(Y,z){var K=!1,O=null,$=function(){O=null,K&&(Y(),O=setTimeout($,z),K=!1)};return function(){return K=!0,O||$(),O}}var Vl=function(z){this._hashName=z&&encodeURIComponent(z),i.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=_l(this._updateHashUnthrottled.bind(this),30*1e3/100)};Vl.prototype.addTo=function(z){return this._map=z,i.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Vl.prototype.remove=function(){return i.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Vl.prototype.getHashString=function(z){var K=this._map.getCenter(),O=Math.round(this._map.getZoom()*100)/100,$=Math.ceil((O*Math.LN2+Math.log(512/360/.5))/Math.LN10),pe=Math.pow(10,$),de=Math.round(K.lng*pe)/pe,Ie=Math.round(K.lat*pe)/pe,$e=this._map.getBearing(),pt=this._map.getPitch(),Kt=\"\";if(z?Kt+=\"/\"+de+\"/\"+Ie+\"/\"+O:Kt+=O+\"/\"+Ie+\"/\"+de,($e||pt)&&(Kt+=\"/\"+Math.round($e*10)/10),pt&&(Kt+=\"/\"+Math.round(pt)),this._hashName){var ir=this._hashName,Jt=!1,vt=i.window.location.hash.slice(1).split(\"&\").map(function(Pt){var Wt=Pt.split(\"=\")[0];return Wt===ir?(Jt=!0,Wt+\"=\"+Kt):Pt}).filter(function(Pt){return Pt});return Jt||vt.push(ir+\"=\"+Kt),\"#\"+vt.join(\"&\")}return\"#\"+Kt},Vl.prototype._getCurrentHash=function(){var z=this,K=i.window.location.hash.replace(\"#\",\"\");if(this._hashName){var O;return K.split(\"&\").map(function($){return $.split(\"=\")}).forEach(function($){$[0]===z._hashName&&(O=$)}),(O&&O[1]||\"\").split(\"/\")}return K.split(\"/\")},Vl.prototype._onHashChange=function(){var z=this._getCurrentHash();if(z.length>=3&&!z.some(function(O){return isNaN(O)})){var K=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(z[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+z[2],+z[1]],zoom:+z[0],bearing:K,pitch:+(z[4]||0)}),!0}return!1},Vl.prototype._updateHashUnthrottled=function(){var z=i.window.location.href.replace(/(#.+)?$/,this.getHashString());try{i.window.history.replaceState(i.window.history.state,null,z)}catch(K){}};var Zu={linearity:.3,easing:i.bezier(0,0,.3,1)},cu=i.extend({deceleration:2500,maxSpeed:1400},Zu),el=i.extend({deceleration:20,maxSpeed:1400},Zu),nu=i.extend({deceleration:1e3,maxSpeed:360},Zu),zc=i.extend({deceleration:1e3,maxSpeed:90},Zu),Dl=function(z){this._map=z,this.clear()};Dl.prototype.clear=function(){this._inertiaBuffer=[]},Dl.prototype.record=function(z){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.browser.now(),settings:z})},Dl.prototype._drainInertiaBuffer=function(){for(var z=this._inertiaBuffer,K=i.browser.now(),O=160;z.length>0&&K-z[0].time>O;)z.shift()},Dl.prototype._onMoveEnd=function(z){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var K={zoom:0,bearing:0,pitch:0,pan:new i.Point(0,0),pinchAround:void 0,around:void 0},O=0,$=this._inertiaBuffer;O<$.length;O+=1){var pe=$[O],de=pe.settings;K.zoom+=de.zoomDelta||0,K.bearing+=de.bearingDelta||0,K.pitch+=de.pitchDelta||0,de.panDelta&&K.pan._add(de.panDelta),de.around&&(K.around=de.around),de.pinchAround&&(K.pinchAround=de.pinchAround)}var Ie=this._inertiaBuffer[this._inertiaBuffer.length-1],$e=Ie.time-this._inertiaBuffer[0].time,pt={};if(K.pan.mag()){var Kt=Z(K.pan.mag(),$e,i.extend({},cu,z||{}));pt.offset=K.pan.mult(Kt.amount/K.pan.mag()),pt.center=this._map.transform.center,zl(pt,Kt)}if(K.zoom){var ir=Z(K.zoom,$e,el);pt.zoom=this._map.transform.zoom+ir.amount,zl(pt,ir)}if(K.bearing){var Jt=Z(K.bearing,$e,nu);pt.bearing=this._map.transform.bearing+i.clamp(Jt.amount,-179,179),zl(pt,Jt)}if(K.pitch){var vt=Z(K.pitch,$e,zc);pt.pitch=this._map.transform.pitch+vt.amount,zl(pt,vt)}if(pt.zoom||pt.bearing){var Pt=K.pinchAround===void 0?K.around:K.pinchAround;pt.around=Pt?this._map.unproject(Pt):this._map.getCenter()}return this.clear(),i.extend(pt,{noMoveStart:!0})}};function zl(Y,z){(!Y.duration||Y.duration<z.duration)&&(Y.duration=z.duration,Y.easing=z.easing)}function Z(Y,z,K){var O=K.maxSpeed,$=K.linearity,pe=K.deceleration,de=i.clamp(Y*$/(z/1e3),-O,O),Ie=Math.abs(de)/(pe*$);return{easing:K.easing,duration:Ie*1e3,amount:de*(Ie/2)}}var oe=function(Y){function z(O,$,pe,de){de===void 0&&(de={});var Ie=o.mousePos($.getCanvasContainer(),pe),$e=$.unproject(Ie);Y.call(this,O,i.extend({point:Ie,lngLat:$e,originalEvent:pe},de)),this._defaultPrevented=!1,this.target=$}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={defaultPrevented:{configurable:!0}};return z.prototype.preventDefault=function(){this._defaultPrevented=!0},K.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(z.prototype,K),z}(i.Event),we=function(Y){function z(O,$,pe){var de=O===\"touchend\"?pe.changedTouches:pe.touches,Ie=o.touchPos($.getCanvasContainer(),de),$e=Ie.map(function(ir){return $.unproject(ir)}),pt=Ie.reduce(function(ir,Jt,vt,Pt){return ir.add(Jt.div(Pt.length))},new i.Point(0,0)),Kt=$.unproject(pt);Y.call(this,O,{points:Ie,point:pt,lngLats:$e,lngLat:Kt,originalEvent:pe}),this._defaultPrevented=!1}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={defaultPrevented:{configurable:!0}};return z.prototype.preventDefault=function(){this._defaultPrevented=!0},K.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(z.prototype,K),z}(i.Event),Be=function(Y){function z(O,$,pe){Y.call(this,O,{originalEvent:pe}),this._defaultPrevented=!1}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={defaultPrevented:{configurable:!0}};return z.prototype.preventDefault=function(){this._defaultPrevented=!0},K.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(z.prototype,K),z}(i.Event),Ue=function(z,K){this._map=z,this._clickTolerance=K.clickTolerance};Ue.prototype.reset=function(){delete this._mousedownPos},Ue.prototype.wheel=function(z){return this._firePreventable(new Be(z.type,this._map,z))},Ue.prototype.mousedown=function(z,K){return this._mousedownPos=K,this._firePreventable(new oe(z.type,this._map,z))},Ue.prototype.mouseup=function(z){this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.click=function(z,K){this._mousedownPos&&this._mousedownPos.dist(K)>=this._clickTolerance||this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.dblclick=function(z){return this._firePreventable(new oe(z.type,this._map,z))},Ue.prototype.mouseover=function(z){this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.mouseout=function(z){this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.touchstart=function(z){return this._firePreventable(new we(z.type,this._map,z))},Ue.prototype.touchmove=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype.touchend=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype.touchcancel=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype._firePreventable=function(z){if(this._map.fire(z),z.defaultPrevented)return{}},Ue.prototype.isEnabled=function(){return!0},Ue.prototype.isActive=function(){return!1},Ue.prototype.enable=function(){},Ue.prototype.disable=function(){};var We=function(z){this._map=z};We.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},We.prototype.mousemove=function(z){this._map.fire(new oe(z.type,this._map,z))},We.prototype.mousedown=function(){this._delayContextMenu=!0},We.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new oe(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},We.prototype.contextmenu=function(z){this._delayContextMenu?this._contextMenuEvent=z:this._map.fire(new oe(z.type,this._map,z)),this._map.listens(\"contextmenu\")&&z.preventDefault()},We.prototype.isEnabled=function(){return!0},We.prototype.isActive=function(){return!1},We.prototype.enable=function(){},We.prototype.disable=function(){};var wt=function(z,K){this._map=z,this._el=z.getCanvasContainer(),this._container=z.getContainer(),this._clickTolerance=K.clickTolerance||1};wt.prototype.isEnabled=function(){return!!this._enabled},wt.prototype.isActive=function(){return!!this._active},wt.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},wt.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},wt.prototype.mousedown=function(z,K){this.isEnabled()&&z.shiftKey&&z.button===0&&(o.disableDrag(),this._startPos=this._lastPos=K,this._active=!0)},wt.prototype.mousemoveWindow=function(z,K){if(this._active){var O=K;if(!(this._lastPos.equals(O)||!this._box&&O.dist(this._startPos)<this._clickTolerance)){var $=this._startPos;this._lastPos=O,this._box||(this._box=o.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",z));var pe=Math.min($.x,O.x),de=Math.max($.x,O.x),Ie=Math.min($.y,O.y),$e=Math.max($.y,O.y);o.setTransform(this._box,\"translate(\"+pe+\"px,\"+Ie+\"px)\"),this._box.style.width=de-pe+\"px\",this._box.style.height=$e-Ie+\"px\"}}},wt.prototype.mouseupWindow=function(z,K){var O=this;if(this._active&&z.button===0){var $=this._startPos,pe=K;if(this.reset(),o.suppressClick(),$.x===pe.x&&$.y===pe.y)this._fireEvent(\"boxzoomcancel\",z);else return this._map.fire(new i.Event(\"boxzoomend\",{originalEvent:z})),{cameraAnimation:function(de){return de.fitScreenCoordinates($,pe,O._map.getBearing(),{linear:!0})}}}},wt.prototype.keydown=function(z){this._active&&z.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",z))},wt.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos},wt.prototype._fireEvent=function(z,K){return this._map.fire(new i.Event(z,{originalEvent:K}))};function tt(Y,z){for(var K={},O=0;O<Y.length;O++)K[Y[O].identifier]=z[O];return K}function zt(Y){for(var z=new i.Point(0,0),K=0,O=Y;K<O.length;K+=1){var $=O[K];z._add($)}return z.div(Y.length)}var or=500,lr=500,Dr=30,Ir=function(z){this.reset(),this.numTouches=z.numTouches};Ir.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Ir.prototype.touchstart=function(z,K,O){(this.centroid||O.length>this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=z.timeStamp),O.length===this.numTouches&&(this.centroid=zt(K),this.touches=tt(O,K)))},Ir.prototype.touchmove=function(z,K,O){if(!(this.aborted||!this.centroid)){var $=tt(O,K);for(var pe in this.touches){var de=this.touches[pe],Ie=$[pe];(!Ie||Ie.dist(de)>Dr)&&(this.aborted=!0)}}},Ir.prototype.touchend=function(z,K,O){if((!this.centroid||z.timeStamp-this.startTime>lr)&&(this.aborted=!0),O.length===0){var $=!this.aborted&&this.centroid;if(this.reset(),$)return $}};var oi=function(z){this.singleTap=new Ir(z),this.numTaps=z.numTaps,this.reset()};oi.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},oi.prototype.touchstart=function(z,K,O){this.singleTap.touchstart(z,K,O)},oi.prototype.touchmove=function(z,K,O){this.singleTap.touchmove(z,K,O)},oi.prototype.touchend=function(z,K,O){var $=this.singleTap.touchend(z,K,O);if($){var pe=z.timeStamp-this.lastTime<or,de=!this.lastTap||this.lastTap.dist($)<Dr;if((!pe||!de)&&this.reset(),this.count++,this.lastTime=z.timeStamp,this.lastTap=$,this.count===this.numTaps)return this.reset(),$}};var ui=function(){this._zoomIn=new oi({numTouches:1,numTaps:2}),this._zoomOut=new oi({numTouches:2,numTaps:1}),this.reset()};ui.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},ui.prototype.touchstart=function(z,K,O){this._zoomIn.touchstart(z,K,O),this._zoomOut.touchstart(z,K,O)},ui.prototype.touchmove=function(z,K,O){this._zoomIn.touchmove(z,K,O),this._zoomOut.touchmove(z,K,O)},ui.prototype.touchend=function(z,K,O){var 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ci=function(z){this.reset(),this._clickTolerance=z.clickTolerance||1};ci.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},ci.prototype._correctButton=function(z,K){return!1},ci.prototype._move=function(z,K){return{}},ci.prototype.mousedown=function(z,K){if(!this._lastPoint){var O=o.mouseButton(z);this._correctButton(z,O)&&(this._lastPoint=K,this._eventButton=O)}},ci.prototype.mousemoveWindow=function(z,K){var O=this._lastPoint;if(O){if(z.preventDefault(),vi(z,this._eventButton)){this.reset();return}if(!(!this._moved&&K.dist(O)<this._clickTolerance))return this._moved=!0,this._lastPoint=K,this._move(O,K)}},ci.prototype.mouseupWindow=function(z){if(this._lastPoint){var K=o.mouseButton(z);K===this._eventButton&&(this._moved&&o.suppressClick(),this.reset())}},ci.prototype.enable=function(){this._enabled=!0},ci.prototype.disable=function(){this._enabled=!1,this.reset()},ci.prototype.isEnabled=function(){return this._enabled},ci.prototype.isActive=function(){return this._active};var Jr=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.mousedown=function(O,$){Y.prototype.mousedown.call(this,O,$),this._lastPoint&&(this._active=!0)},z.prototype._correctButton=function(O,$){return $===qr&&!O.ctrlKey},z.prototype._move=function(O,$){return{around:$,panDelta:$.sub(O)}},z}(ci),un=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype._correctButton=function(O,$){return $===qr&&O.ctrlKey||$===Kr},z.prototype._move=function(O,$){var pe=.8,de=($.x-O.x)*pe;if(de)return this._active=!0,{bearingDelta:de}},z.prototype.contextmenu=function(O){O.preventDefault()},z}(ci),dn=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype._correctButton=function(O,$){return $===qr&&O.ctrlKey||$===Kr},z.prototype._move=function(O,$){var pe=-.5,de=($.y-O.y)*pe;if(de)return this._active=!0,{pitchDelta:de}},z.prototype.contextmenu=function(O){O.preventDefault()},z}(ci),En=function(z){this._minTouches=1,this._clickTolerance=z.clickTolerance||1,this.reset()};En.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new i.Point(0,0)},En.prototype.touchstart=function(z,K,O){return this._calculateTransform(z,K,O)},En.prototype.touchmove=function(z,K,O){if(!(!this._active||O.length<this._minTouches))return z.preventDefault(),this._calculateTransform(z,K,O)},En.prototype.touchend=function(z,K,O){this._calculateTransform(z,K,O),this._active&&O.length<this._minTouches&&this.reset()},En.prototype.touchcancel=function(){this.reset()},En.prototype._calculateTransform=function(z,K,O){O.length>0&&(this._active=!0);var $=tt(O,K),pe=new i.Point(0,0),de=new i.Point(0,0),Ie=0;for(var $e in $){var pt=$[$e],Kt=this._touches[$e];Kt&&(pe._add(pt),de._add(pt.sub(Kt)),Ie++,$[$e]=pt)}if(this._touches=$,!(Ie<this._minTouches||!de.mag())){var ir=de.div(Ie);if(this._sum._add(ir),!(this._sum.mag()<this._clickTolerance)){var Jt=pe.div(Ie);return{around:Jt,panDelta:ir}}}},En.prototype.enable=function(){this._enabled=!0},En.prototype.disable=function(){this._enabled=!1,this.reset()},En.prototype.isEnabled=function(){return this._enabled},En.prototype.isActive=function(){return this._active};var Nn=function(){this.reset()};Nn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Nn.prototype._start=function(z){},Nn.prototype._move=function(z,K,O){return{}},Nn.prototype.touchstart=function(z,K,O){this._firstTwoTouches||O.length<2||(this._firstTwoTouches=[O[0].identifier,O[1].identifier],this._start([K[0],K[1]]))},Nn.prototype.touchmove=function(z,K,O){if(this._firstTwoTouches){z.preventDefault();var $=this._firstTwoTouches,pe=$[0],de=$[1],Ie=ga(O,K,pe),$e=ga(O,K,de);if(!(!Ie||!$e)){var pt=this._aroundCenter?null:Ie.add($e).div(2);return this._move([Ie,$e],pt,z)}}},Nn.prototype.touchend=function(z,K,O){if(this._firstTwoTouches){var $=this._firstTwoTouches,pe=$[0],de=$[1],Ie=ga(O,K,pe),$e=ga(O,K,de);Ie&&$e||(this._active&&o.suppressClick(),this.reset())}},Nn.prototype.touchcancel=function(){this.reset()},Nn.prototype.enable=function(z){this._enabled=!0,this._aroundCenter=!!z&&z.around===\"center\"},Nn.prototype.disable=function(){this._enabled=!1,this.reset()},Nn.prototype.isEnabled=function(){return this._enabled},Nn.prototype.isActive=function(){return this._active};function ga(Y,z,K){for(var O=0;O<Y.length;O++)if(Y[O].identifier===K)return z[O]}var ya=.1;function so(Y,z){return Math.log(Y/z)/Math.LN2}var wa=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.reset=function(){Y.prototype.reset.call(this),delete this._distance,delete this._startDistance},z.prototype._start=function(O){this._startDistance=this._distance=O[0].dist(O[1])},z.prototype._move=function(O,$){var pe=this._distance;if(this._distance=O[0].dist(O[1]),!(!this._active&&Math.abs(so(this._distance,this._startDistance))<ya))return this._active=!0,{zoomDelta:so(this._distance,pe),pinchAround:$}},z}(Nn),io=25;function Ss(Y,z){return Y.angleWith(z)*180/Math.PI}var _s=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.reset=function(){Y.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},z.prototype._start=function(O){this._startVector=this._vector=O[0].sub(O[1]),this._minDiameter=O[0].dist(O[1])},z.prototype._move=function(O,$){var pe=this._vector;if(this._vector=O[0].sub(O[1]),!(!this._active&&this._isBelowThreshold(this._vector)))return this._active=!0,{bearingDelta:Ss(this._vector,pe),pinchAround:$}},z.prototype._isBelowThreshold=function(O){this._minDiameter=Math.min(this._minDiameter,O.mag());var $=Math.PI*this._minDiameter,pe=io/$*360,de=Ss(O,this._startVector);return Math.abs(de)<pe},z}(Nn);function Ns(Y){return Math.abs(Y.y)>Math.abs(Y.x)}var pn=100,za=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.reset=function(){Y.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},z.prototype._start=function(O){this._lastPoints=O,Ns(O[0].sub(O[1]))&&(this._valid=!1)},z.prototype._move=function(O,$,pe){var de=O[0].sub(this._lastPoints[0]),Ie=O[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(de,Ie,pe.timeStamp),!!this._valid){this._lastPoints=O,this._active=!0;var $e=(de.y+Ie.y)/2,pt=-.5;return{pitchDelta:$e*pt}}},z.prototype.gestureBeginsVertically=function(O,$,pe){if(this._valid!==void 0)return this._valid;var de=2,Ie=O.mag()>=de,$e=$.mag()>=de;if(!(!Ie&&!$e)){if(!Ie||!$e)return this._firstMove===void 0&&(this._firstMove=pe),pe-this._firstMove<pn?void 0:!1;var pt=O.y>0==$.y>0;return Ns(O)&&Ns($)&&pt}},z}(Nn),Lo={panStep:100,bearingStep:15,pitchStep:10},Fo=function(){var z=Lo;this._panStep=z.panStep,this._bearingStep=z.bearingStep,this._pitchStep=z.pitchStep,this._rotationDisabled=!1};Fo.prototype.reset=function(){this._active=!1},Fo.prototype.keydown=function(z){var K=this;if(!(z.altKey||z.ctrlKey||z.metaKey)){var O=0,$=0,pe=0,de=0,Ie=0;switch(z.keyCode){case 61:case 107:case 171:case 187:O=1;break;case 189:case 109:case 173:O=-1;break;case 37:z.shiftKey?$=-1:(z.preventDefault(),de=-1);break;case 39:z.shiftKey?$=1:(z.preventDefault(),de=1);break;case 38:z.shiftKey?pe=1:(z.preventDefault(),Ie=-1);break;case 40:z.shiftKey?pe=-1:(z.preventDefault(),Ie=1);break;default:return}return this._rotationDisabled&&($=0,pe=0),{cameraAnimation:function($e){var pt=$e.getZoom();$e.easeTo({duration:300,easeId:\"keyboardHandler\",easing:js,zoom:O?Math.round(pt)+O*(z.shiftKey?2:1):pt,bearing:$e.getBearing()+$*K._bearingStep,pitch:$e.getPitch()+pe*K._pitchStep,offset:[-de*K._panStep,-Ie*K._panStep],center:$e.getCenter()},{originalEvent:z})}}}},Fo.prototype.enable=function(){this._enabled=!0},Fo.prototype.disable=function(){this._enabled=!1,this.reset()},Fo.prototype.isEnabled=function(){return this._enabled},Fo.prototype.isActive=function(){return this._active},Fo.prototype.disableRotation=function(){this._rotationDisabled=!0},Fo.prototype.enableRotation=function(){this._rotationDisabled=!1};function js(Y){return Y*(2-Y)}var xl=4.000244140625,fu=1/100,dl=1/450,xc=2,At=function(z,K){this._map=z,this._el=z.getCanvasContainer(),this._handler=K,this._delta=0,this._defaultZoomRate=fu,this._wheelZoomRate=dl,i.bindAll([\"_onTimeout\"],this)};At.prototype.setZoomRate=function(z){this._defaultZoomRate=z},At.prototype.setWheelZoomRate=function(z){this._wheelZoomRate=z},At.prototype.isEnabled=function(){return!!this._enabled},At.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},At.prototype.isZooming=function(){return!!this._zooming},At.prototype.enable=function(z){this.isEnabled()||(this._enabled=!0,this._aroundCenter=z&&z.around===\"center\")},At.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},At.prototype.wheel=function(z){if(this.isEnabled()){var K=z.deltaMode===i.window.WheelEvent.DOM_DELTA_LINE?z.deltaY*40:z.deltaY,O=i.browser.now(),$=O-(this._lastWheelEventTime||0);this._lastWheelEventTime=O,K!==0&&K%xl===0?this._type=\"wheel\":K!==0&&Math.abs(K)<4?this._type=\"trackpad\":$>400?(this._type=null,this._lastValue=K,this._timeout=setTimeout(this._onTimeout,40,z)):this._type||(this._type=Math.abs($*K)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,K+=this._lastValue)),z.shiftKey&&K&&(K=K/4),this._type&&(this._lastWheelEvent=z,this._delta-=K,this._active||this._start(z)),z.preventDefault()}},At.prototype._onTimeout=function(z){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(z)},At.prototype._start=function(z){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var K=o.mousePos(this._el,z);this._around=i.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(K)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},At.prototype.renderFrame=function(){var z=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var K=this._map.transform;if(this._delta!==0){var O=this._type===\"wheel\"&&Math.abs(this._delta)>xl?this._wheelZoomRate:this._defaultZoomRate,$=xc/(1+Math.exp(-Math.abs(this._delta*O)));this._delta<0&&$!==0&&($=1/$);var pe=typeof this._targetZoom==\"number\"?K.zoomScale(this._targetZoom):K.scale;this._targetZoom=Math.min(K.maxZoom,Math.max(K.minZoom,K.scaleZoom(pe*$))),this._type===\"wheel\"&&(this._startZoom=K.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var de=typeof this._targetZoom==\"number\"?this._targetZoom:K.zoom,Ie=this._startZoom,$e=this._easing,pt=!1,Kt;if(this._type===\"wheel\"&&Ie&&$e){var ir=Math.min((i.browser.now()-this._lastWheelEventTime)/200,1),Jt=$e(ir);Kt=i.number(Ie,de,Jt),ir<1?this._frameId||(this._frameId=!0):pt=!0}else Kt=de,pt=!0;return this._active=!0,pt&&(this._active=!1,this._finishTimeout=setTimeout(function(){z._zooming=!1,z._handler._triggerRenderFrame(),delete z._targetZoom,delete z._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!pt,zoomDelta:Kt-K.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},At.prototype._smoothOutEasing=function(z){var K=i.ease;if(this._prevEase){var O=this._prevEase,$=(i.browser.now()-O.start)/O.duration,pe=O.easing($+.01)-O.easing($),de=.27/Math.sqrt(pe*pe+1e-4)*.01,Ie=Math.sqrt(.27*.27-de*de);K=i.bezier(de,Ie,.25,1)}return this._prevEase={start:i.browser.now(),duration:z,easing:K},K},At.prototype.reset=function(){this._active=!1};var Er=function(z,K){this._clickZoom=z,this._tapZoom=K};Er.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},Er.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},Er.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},Er.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var Wr=function(){this.reset()};Wr.prototype.reset=function(){this._active=!1},Wr.prototype.dblclick=function(z,K){return z.preventDefault(),{cameraAnimation:function(O){O.easeTo({duration:300,zoom:O.getZoom()+(z.shiftKey?-1:1),around:O.unproject(K)},{originalEvent:z})}}},Wr.prototype.enable=function(){this._enabled=!0},Wr.prototype.disable=function(){this._enabled=!1,this.reset()},Wr.prototype.isEnabled=function(){return this._enabled},Wr.prototype.isActive=function(){return this._active};var wi=function(){this._tap=new oi({numTouches:1,numTaps:1}),this.reset()};wi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},wi.prototype.touchstart=function(z,K,O){this._swipePoint||(this._tapTime&&z.timeStamp-this._tapTime>or&&this.reset(),this._tapTime?O.length>0&&(this._swipePoint=K[0],this._swipeTouch=O[0].identifier):this._tap.touchstart(z,K,O))},wi.prototype.touchmove=function(z,K,O){if(!this._tapTime)this._tap.touchmove(z,K,O);else if(this._swipePoint){if(O[0].identifier!==this._swipeTouch)return;var $=K[0],pe=$.y-this._swipePoint.y;return this._swipePoint=$,z.preventDefault(),this._active=!0,{zoomDelta:pe/128}}},wi.prototype.touchend=function(z,K,O){if(this._tapTime)this._swipePoint&&O.length===0&&this.reset();else{var $=this._tap.touchend(z,K,O);$&&(this._tapTime=z.timeStamp)}},wi.prototype.touchcancel=function(){this.reset()},wi.prototype.enable=function(){this._enabled=!0},wi.prototype.disable=function(){this._enabled=!1,this.reset()},wi.prototype.isEnabled=function(){return this._enabled},wi.prototype.isActive=function(){return this._active};var Ui=function(z,K,O){this._el=z,this._mousePan=K,this._touchPan=O};Ui.prototype.enable=function(z){this._inertiaOptions=z||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},Ui.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},Ui.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},Ui.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var Oi=function(z,K,O){this._pitchWithRotate=z.pitchWithRotate,this._mouseRotate=K,this._mousePitch=O};Oi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},Oi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},Oi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},Oi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var Bi=function(z,K,O,$){this._el=z,this._touchZoom=K,this._touchRotate=O,this._tapDragZoom=$,this._rotationDisabled=!1,this._enabled=!0};Bi.prototype.enable=function(z){this._touchZoom.enable(z),this._rotationDisabled||this._touchRotate.enable(z),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},Bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},Bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},Bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},Bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},Bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var cn=function(Y){return Y.zoom||Y.drag||Y.pitch||Y.rotate},On=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z}(i.Event);function Bn(Y){return Y.panDelta&&Y.panDelta.mag()||Y.zoomDelta||Y.bearingDelta||Y.pitchDelta}var yn=function(z,K){this._map=z,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Dl(z),this._bearingSnap=K.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(K),i.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var O=this._el;this._listeners=[[O,\"touchstart\",{passive:!0}],[O,\"touchmove\",{passive:!1}],[O,\"touchend\",void 0],[O,\"touchcancel\",void 0],[O,\"mousedown\",void 0],[O,\"mousemove\",void 0],[O,\"mouseup\",void 0],[i.window.document,\"mousemove\",{capture:!0}],[i.window.document,\"mouseup\",void 0],[O,\"mouseover\",void 0],[O,\"mouseout\",void 0],[O,\"dblclick\",void 0],[O,\"click\",void 0],[O,\"keydown\",{capture:!1}],[O,\"keyup\",void 0],[O,\"wheel\",{passive:!1}],[O,\"contextmenu\",void 0],[i.window,\"blur\",void 0]];for(var $=0,pe=this._listeners;$<pe.length;$+=1){var de=pe[$],Ie=de[0],$e=de[1],pt=de[2];o.addEventListener(Ie,$e,Ie===i.window.document?this.handleWindowEvent:this.handleEvent,pt)}};yn.prototype.destroy=function(){for(var z=0,K=this._listeners;z<K.length;z+=1){var O=K[z],$=O[0],pe=O[1],de=O[2];o.removeEventListener($,pe,$===i.window.document?this.handleWindowEvent:this.handleEvent,de)}},yn.prototype._addDefaultHandlers=function(z){var K=this._map,O=K.getCanvasContainer();this._add(\"mapEvent\",new Ue(K,z));var $=K.boxZoom=new wt(K,z);this._add(\"boxZoom\",$);var pe=new ui,de=new Wr;K.doubleClickZoom=new Er(de,pe),this._add(\"tapZoom\",pe),this._add(\"clickZoom\",de);var Ie=new wi;this._add(\"tapDragZoom\",Ie);var $e=K.touchPitch=new za;this._add(\"touchPitch\",$e);var pt=new un(z),Kt=new dn(z);K.dragRotate=new Oi(z,pt,Kt),this._add(\"mouseRotate\",pt,[\"mousePitch\"]),this._add(\"mousePitch\",Kt,[\"mouseRotate\"]);var ir=new Jr(z),Jt=new En(z);K.dragPan=new Ui(O,ir,Jt),this._add(\"mousePan\",ir),this._add(\"touchPan\",Jt,[\"touchZoom\",\"touchRotate\"]);var vt=new _s,Pt=new wa;K.touchZoomRotate=new Bi(O,Pt,vt,Ie),this._add(\"touchRotate\",vt,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",Pt,[\"touchPan\",\"touchRotate\"]);var Wt=K.scrollZoom=new At(K,this);this._add(\"scrollZoom\",Wt,[\"mousePan\"]);var rr=K.keyboard=new Fo;this._add(\"keyboard\",rr),this._add(\"blockableMapEvent\",new We(K));for(var dr=0,pr=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];dr<pr.length;dr+=1){var kr=pr[dr];z.interactive&&z[kr]&&K[kr].enable(z[kr])}},yn.prototype._add=function(z,K,O){this._handlers.push({handlerName:z,handler:K,allowed:O}),this._handlersById[z]=K},yn.prototype.stop=function(z){if(!this._updatingCamera){for(var K=0,O=this._handlers;K<O.length;K+=1){var $=O[K],pe=$.handler;pe.reset()}this._inertia.clear(),this._fireEvents({},{},z),this._changes=[]}},yn.prototype.isActive=function(){for(var z=0,K=this._handlers;z<K.length;z+=1){var O=K[z],$=O.handler;if($.isActive())return!0}return!1},yn.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yn.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yn.prototype.isMoving=function(){return!!cn(this._eventsInProgress)||this.isZooming()},yn.prototype._blockedByActive=function(z,K,O){for(var $ in z)if($!==O&&(!K||K.indexOf($)<0))return!0;return!1},yn.prototype.handleWindowEvent=function(z){this.handleEvent(z,z.type+\"Window\")},yn.prototype._getMapTouches=function(z){for(var K=[],O=0,$=z;O<$.length;O+=1){var pe=$[O],de=pe.target;this._el.contains(de)&&K.push(pe)}return K},yn.prototype.handleEvent=function(z,K){if(z.type===\"blur\"){this.stop(!0);return}this._updatingCamera=!0;for(var O=z.type===\"renderFrame\"?void 0:z,$={needsRenderFrame:!1},pe={},de={},Ie=z.touches?this._getMapTouches(z.touches):void 0,$e=Ie?o.touchPos(this._el,Ie):o.mousePos(this._el,z),pt=0,Kt=this._handlers;pt<Kt.length;pt+=1){var ir=Kt[pt],Jt=ir.handlerName,vt=ir.handler,Pt=ir.allowed;if(vt.isEnabled()){var Wt=void 0;this._blockedByActive(de,Pt,Jt)?vt.reset():vt[K||z.type]&&(Wt=vt[K||z.type](z,$e,Ie),this.mergeHandlerResult($,pe,Wt,Jt,O),Wt&&Wt.needsRenderFrame&&this._triggerRenderFrame()),(Wt||vt.isActive())&&(de[Jt]=vt)}}var rr={};for(var dr in this._previousActiveHandlers)de[dr]||(rr[dr]=O);this._previousActiveHandlers=de,(Object.keys(rr).length||Bn($))&&(this._changes.push([$,pe,rr]),this._triggerRenderFrame()),(Object.keys(de).length||Bn($))&&this._map._stop(!0),this._updatingCamera=!1;var pr=$.cameraAnimation;pr&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],pr(this._map))},yn.prototype.mergeHandlerResult=function(z,K,O,$,pe){if(O){i.extend(z,O);var de={handlerName:$,originalEvent:O.originalEvent||pe};O.zoomDelta!==void 0&&(K.zoom=de),O.panDelta!==void 0&&(K.drag=de),O.pitchDelta!==void 0&&(K.pitch=de),O.bearingDelta!==void 0&&(K.rotate=de)}},yn.prototype._applyChanges=function(){for(var z={},K={},O={},$=0,pe=this._changes;$<pe.length;$+=1){var de=pe[$],Ie=de[0],$e=de[1],pt=de[2];Ie.panDelta&&(z.panDelta=(z.panDelta||new i.Point(0,0))._add(Ie.panDelta)),Ie.zoomDelta&&(z.zoomDelta=(z.zoomDelta||0)+Ie.zoomDelta),Ie.bearingDelta&&(z.bearingDelta=(z.bearingDelta||0)+Ie.bearingDelta),Ie.pitchDelta&&(z.pitchDelta=(z.pitchDelta||0)+Ie.pitchDelta),Ie.around!==void 0&&(z.around=Ie.around),Ie.pinchAround!==void 0&&(z.pinchAround=Ie.pinchAround),Ie.noInertia&&(z.noInertia=Ie.noInertia),i.extend(K,$e),i.extend(O,pt)}this._updateMapTransform(z,K,O),this._changes=[]},yn.prototype._updateMapTransform=function(z,K,O){var $=this._map,pe=$.transform;if(!Bn(z))return this._fireEvents(K,O,!0);var de=z.panDelta,Ie=z.zoomDelta,$e=z.bearingDelta,pt=z.pitchDelta,Kt=z.around,ir=z.pinchAround;ir!==void 0&&(Kt=ir),$._stop(!0),Kt=Kt||$.transform.centerPoint;var Jt=pe.pointLocation(de?Kt.sub(de):Kt);$e&&(pe.bearing+=$e),pt&&(pe.pitch+=pt),Ie&&(pe.zoom+=Ie),pe.setLocationAtPoint(Jt,Kt),this._map._update(),z.noInertia||this._inertia.record(z),this._fireEvents(K,O,!0)},yn.prototype._fireEvents=function(z,K,O){var $=this,pe=cn(this._eventsInProgress),de=cn(z),Ie={};for(var $e in z){var pt=z[$e],Kt=pt.originalEvent;this._eventsInProgress[$e]||(Ie[$e+\"start\"]=Kt),this._eventsInProgress[$e]=z[$e]}!pe&&de&&this._fireEvent(\"movestart\",de.originalEvent);for(var ir in Ie)this._fireEvent(ir,Ie[ir]);de&&this._fireEvent(\"move\",de.originalEvent);for(var Jt in z){var vt=z[Jt],Pt=vt.originalEvent;this._fireEvent(Jt,Pt)}var Wt={},rr;for(var dr in this._eventsInProgress){var pr=this._eventsInProgress[dr],kr=pr.handlerName,Ar=pr.originalEvent;this._handlersById[kr].isActive()||(delete this._eventsInProgress[dr],rr=K[kr]||Ar,Wt[dr+\"end\"]=rr)}for(var gr in Wt)this._fireEvent(gr,Wt[gr]);var Cr=cn(this._eventsInProgress);if(O&&(pe||de)&&!Cr){this._updatingCamera=!0;var cr=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),Gr=function(ei){return ei!==0&&-$._bearingSnap<ei&&ei<$._bearingSnap};cr?(Gr(cr.bearing||this._map.getBearing())&&(cr.bearing=0),this._map.easeTo(cr,{originalEvent:rr})):(this._map.fire(new i.Event(\"moveend\",{originalEvent:rr})),Gr(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},yn.prototype._fireEvent=function(z,K){this._map.fire(new i.Event(z,K?{originalEvent:K}:{}))},yn.prototype._requestFrame=function(){var z=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add(function(K){delete z._frameId,z.handleEvent(new On(\"renderFrame\",{timeStamp:K})),z._applyChanges()})},yn.prototype._triggerRenderFrame=function(){this._frameId===void 0&&(this._frameId=this._requestFrame())};var to=function(Y){function z(K,O){Y.call(this),this._moving=!1,this._zooming=!1,this.transform=K,this._bearingSnap=O.bearingSnap,i.bindAll([\"_renderFrameCallback\"],this)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.getCenter=function(){return new i.LngLat(this.transform.center.lng,this.transform.center.lat)},z.prototype.setCenter=function(O,$){return this.jumpTo({center:O},$)},z.prototype.panBy=function(O,$,pe){return O=i.Point.convert(O).mult(-1),this.panTo(this.transform.center,i.extend({offset:O},$),pe)},z.prototype.panTo=function(O,$,pe){return this.easeTo(i.extend({center:O},$),pe)},z.prototype.getZoom=function(){return this.transform.zoom},z.prototype.setZoom=function(O,$){return this.jumpTo({zoom:O},$),this},z.prototype.zoomTo=function(O,$,pe){return this.easeTo(i.extend({zoom:O},$),pe)},z.prototype.zoomIn=function(O,$){return this.zoomTo(this.getZoom()+1,O,$),this},z.prototype.zoomOut=function(O,$){return this.zoomTo(this.getZoom()-1,O,$),this},z.prototype.getBearing=function(){return this.transform.bearing},z.prototype.setBearing=function(O,$){return this.jumpTo({bearing:O},$),this},z.prototype.getPadding=function(){return this.transform.padding},z.prototype.setPadding=function(O,$){return this.jumpTo({padding:O},$),this},z.prototype.rotateTo=function(O,$,pe){return this.easeTo(i.extend({bearing:O},$),pe)},z.prototype.resetNorth=function(O,$){return this.rotateTo(0,i.extend({duration:1e3},O),$),this},z.prototype.resetNorthPitch=function(O,$){return this.easeTo(i.extend({bearing:0,pitch:0,duration:1e3},O),$),this},z.prototype.snapToNorth=function(O,$){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(O,$):this},z.prototype.getPitch=function(){return this.transform.pitch},z.prototype.setPitch=function(O,$){return this.jumpTo({pitch:O},$),this},z.prototype.cameraForBounds=function(O,$){O=i.LngLatBounds.convert(O);var pe=$&&$.bearing||0;return this._cameraForBoxAndBearing(O.getNorthWest(),O.getSouthEast(),pe,$)},z.prototype._cameraForBoxAndBearing=function(O,$,pe,de){var Ie={top:0,bottom:0,right:0,left:0};if(de=i.extend({padding:Ie,offset:[0,0],maxZoom:this.transform.maxZoom},de),typeof de.padding==\"number\"){var $e=de.padding;de.padding={top:$e,bottom:$e,right:$e,left:$e}}de.padding=i.extend(Ie,de.padding);var pt=this.transform,Kt=pt.padding,ir=pt.project(i.LngLat.convert(O)),Jt=pt.project(i.LngLat.convert($)),vt=ir.rotate(-pe*Math.PI/180),Pt=Jt.rotate(-pe*Math.PI/180),Wt=new i.Point(Math.max(vt.x,Pt.x),Math.max(vt.y,Pt.y)),rr=new i.Point(Math.min(vt.x,Pt.x),Math.min(vt.y,Pt.y)),dr=Wt.sub(rr),pr=(pt.width-(Kt.left+Kt.right+de.padding.left+de.padding.right))/dr.x,kr=(pt.height-(Kt.top+Kt.bottom+de.padding.top+de.padding.bottom))/dr.y;if(kr<0||pr<0){i.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");return}var Ar=Math.min(pt.scaleZoom(pt.scale*Math.min(pr,kr)),de.maxZoom),gr=typeof de.offset.x==\"number\"?new i.Point(de.offset.x,de.offset.y):i.Point.convert(de.offset),Cr=(de.padding.left-de.padding.right)/2,cr=(de.padding.top-de.padding.bottom)/2,Gr=new i.Point(Cr,cr),ei=Gr.rotate(pe*Math.PI/180),yi=gr.add(ei),tn=yi.mult(pt.scale/pt.zoomScale(Ar)),Ri=pt.unproject(ir.add(Jt).div(2).sub(tn));return{center:Ri,zoom:Ar,bearing:pe}},z.prototype.fitBounds=function(O,$,pe){return this._fitInternal(this.cameraForBounds(O,$),$,pe)},z.prototype.fitScreenCoordinates=function(O,$,pe,de,Ie){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(i.Point.convert(O)),this.transform.pointLocation(i.Point.convert($)),pe,de),de,Ie)},z.prototype._fitInternal=function(O,$,pe){return O?($=i.extend(O,$),delete $.padding,$.linear?this.easeTo($,pe):this.flyTo($,pe)):this},z.prototype.jumpTo=function(O,$){this.stop();var pe=this.transform,de=!1,Ie=!1,$e=!1;return\"zoom\"in O&&pe.zoom!==+O.zoom&&(de=!0,pe.zoom=+O.zoom),O.center!==void 0&&(pe.center=i.LngLat.convert(O.center)),\"bearing\"in O&&pe.bearing!==+O.bearing&&(Ie=!0,pe.bearing=+O.bearing),\"pitch\"in O&&pe.pitch!==+O.pitch&&($e=!0,pe.pitch=+O.pitch),O.padding!=null&&!pe.isPaddingEqual(O.padding)&&(pe.padding=O.padding),this.fire(new i.Event(\"movestart\",$)).fire(new i.Event(\"move\",$)),de&&this.fire(new i.Event(\"zoomstart\",$)).fire(new i.Event(\"zoom\",$)).fire(new i.Event(\"zoomend\",$)),Ie&&this.fire(new i.Event(\"rotatestart\",$)).fire(new i.Event(\"rotate\",$)).fire(new i.Event(\"rotateend\",$)),$e&&this.fire(new i.Event(\"pitchstart\",$)).fire(new i.Event(\"pitch\",$)).fire(new i.Event(\"pitchend\",$)),this.fire(new i.Event(\"moveend\",$))},z.prototype.easeTo=function(O,$){var pe=this;this._stop(!1,O.easeId),O=i.extend({offset:[0,0],duration:500,easing:i.ease},O),(O.animate===!1||!O.essential&&i.browser.prefersReducedMotion)&&(O.duration=0);var de=this.transform,Ie=this.getZoom(),$e=this.getBearing(),pt=this.getPitch(),Kt=this.getPadding(),ir=\"zoom\"in O?+O.zoom:Ie,Jt=\"bearing\"in O?this._normalizeBearing(O.bearing,$e):$e,vt=\"pitch\"in O?+O.pitch:pt,Pt=\"padding\"in O?O.padding:de.padding,Wt=i.Point.convert(O.offset),rr=de.centerPoint.add(Wt),dr=de.pointLocation(rr),pr=i.LngLat.convert(O.center||dr);this._normalizeCenter(pr);var kr=de.project(dr),Ar=de.project(pr).sub(kr),gr=de.zoomScale(ir-Ie),Cr,cr;O.around&&(Cr=i.LngLat.convert(O.around),cr=de.locationPoint(Cr));var Gr={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||ir!==Ie,this._rotating=this._rotating||$e!==Jt,this._pitching=this._pitching||vt!==pt,this._padding=!de.isPaddingEqual(Pt),this._easeId=O.easeId,this._prepareEase($,O.noMoveStart,Gr),this._ease(function(ei){if(pe._zooming&&(de.zoom=i.number(Ie,ir,ei)),pe._rotating&&(de.bearing=i.number($e,Jt,ei)),pe._pitching&&(de.pitch=i.number(pt,vt,ei)),pe._padding&&(de.interpolatePadding(Kt,Pt,ei),rr=de.centerPoint.add(Wt)),Cr)de.setLocationAtPoint(Cr,cr);else{var yi=de.zoomScale(de.zoom-Ie),tn=ir>Ie?Math.min(2,gr):Math.max(.5,gr),Ri=Math.pow(tn,1-ei),ln=de.unproject(kr.add(Ar.mult(ei*Ri)).mult(yi));de.setLocationAtPoint(de.renderWorldCopies?ln.wrap():ln,rr)}pe._fireMoveEvents($)},function(ei){pe._afterEase($,ei)},O),this},z.prototype._prepareEase=function(O,$,pe){pe===void 0&&(pe={}),this._moving=!0,!$&&!pe.moving&&this.fire(new i.Event(\"movestart\",O)),this._zooming&&!pe.zooming&&this.fire(new i.Event(\"zoomstart\",O)),this._rotating&&!pe.rotating&&this.fire(new i.Event(\"rotatestart\",O)),this._pitching&&!pe.pitching&&this.fire(new i.Event(\"pitchstart\",O))},z.prototype._fireMoveEvents=function(O){this.fire(new i.Event(\"move\",O)),this._zooming&&this.fire(new i.Event(\"zoom\",O)),this._rotating&&this.fire(new i.Event(\"rotate\",O)),this._pitching&&this.fire(new i.Event(\"pitch\",O))},z.prototype._afterEase=function(O,$){if(!(this._easeId&&$&&this._easeId===$)){delete this._easeId;var pe=this._zooming,de=this._rotating,Ie=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,pe&&this.fire(new i.Event(\"zoomend\",O)),de&&this.fire(new i.Event(\"rotateend\",O)),Ie&&this.fire(new i.Event(\"pitchend\",O)),this.fire(new i.Event(\"moveend\",O))}},z.prototype.flyTo=function(O,$){var pe=this;if(!O.essential&&i.browser.prefersReducedMotion){var de=i.pick(O,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(de,$)}this.stop(),O=i.extend({offset:[0,0],speed:1.2,curve:1.42,easing:i.ease},O);var Ie=this.transform,$e=this.getZoom(),pt=this.getBearing(),Kt=this.getPitch(),ir=this.getPadding(),Jt=\"zoom\"in O?i.clamp(+O.zoom,Ie.minZoom,Ie.maxZoom):$e,vt=\"bearing\"in O?this._normalizeBearing(O.bearing,pt):pt,Pt=\"pitch\"in O?+O.pitch:Kt,Wt=\"padding\"in O?O.padding:Ie.padding,rr=Ie.zoomScale(Jt-$e),dr=i.Point.convert(O.offset),pr=Ie.centerPoint.add(dr),kr=Ie.pointLocation(pr),Ar=i.LngLat.convert(O.center||kr);this._normalizeCenter(Ar);var gr=Ie.project(kr),Cr=Ie.project(Ar).sub(gr),cr=O.curve,Gr=Math.max(Ie.width,Ie.height),ei=Gr/rr,yi=Cr.mag();if(\"minZoom\"in O){var tn=i.clamp(Math.min(O.minZoom,$e,Jt),Ie.minZoom,Ie.maxZoom),Ri=Gr/Ie.zoomScale(tn-$e);cr=Math.sqrt(Ri/yi*2)}var ln=cr*cr;function Qn(fo){var as=(ei*ei-Gr*Gr+(fo?-1:1)*ln*ln*yi*yi)/(2*(fo?ei:Gr)*ln*yi);return Math.log(Math.sqrt(as*as+1)-as)}function qn(fo){return(Math.exp(fo)-Math.exp(-fo))/2}function rn(fo){return(Math.exp(fo)+Math.exp(-fo))/2}function bn(fo){return qn(fo)/rn(fo)}var mn=Qn(0),Gn=function(fo){return rn(mn)/rn(mn+cr*fo)},da=function(fo){return Gr*((rn(mn)*bn(mn+cr*fo)-qn(mn))/ln)/yi},No=(Qn(1)-mn)/cr;if(Math.abs(yi)<1e-6||!isFinite(No)){if(Math.abs(Gr-ei)<1e-6)return this.easeTo(O,$);var Do=ei<Gr?-1:1;No=Math.abs(Math.log(ei/Gr))/cr,da=function(){return 0},Gn=function(fo){return Math.exp(Do*cr*fo)}}if(\"duration\"in O)O.duration=+O.duration;else{var ps=\"screenSpeed\"in O?+O.screenSpeed/cr:+O.speed;O.duration=1e3*No/ps}return O.maxDuration&&O.duration>O.maxDuration&&(O.duration=0),this._zooming=!0,this._rotating=pt!==vt,this._pitching=Pt!==Kt,this._padding=!Ie.isPaddingEqual(Wt),this._prepareEase($,!1),this._ease(function(fo){var as=fo*No,tl=1/Gn(as);Ie.zoom=fo===1?Jt:$e+Ie.scaleZoom(tl),pe._rotating&&(Ie.bearing=i.number(pt,vt,fo)),pe._pitching&&(Ie.pitch=i.number(Kt,Pt,fo)),pe._padding&&(Ie.interpolatePadding(ir,Wt,fo),pr=Ie.centerPoint.add(dr));var zu=fo===1?Ar:Ie.unproject(gr.add(Cr.mult(da(as))).mult(tl));Ie.setLocationAtPoint(Ie.renderWorldCopies?zu.wrap():zu,pr),pe._fireMoveEvents($)},function(){return pe._afterEase($)},O),this},z.prototype.isEasing=function(){return!!this._easeFrameId},z.prototype.stop=function(){return this._stop()},z.prototype._stop=function(O,$){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var pe=this._onEaseEnd;delete this._onEaseEnd,pe.call(this,$)}if(!O){var de=this.handlers;de&&de.stop(!1)}return this},z.prototype._ease=function(O,$,pe){pe.animate===!1||pe.duration===0?(O(1),$()):(this._easeStart=i.browser.now(),this._easeOptions=pe,this._onEaseFrame=O,this._onEaseEnd=$,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},z.prototype._renderFrameCallback=function(){var O=Math.min((i.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(O)),O<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},z.prototype._normalizeBearing=function(O,$){O=i.wrap(O,-180,180);var pe=Math.abs(O-$);return Math.abs(O-360-$)<pe&&(O-=360),Math.abs(O+360-$)<pe&&(O+=360),O},z.prototype._normalizeCenter=function(O){var $=this.transform;if(!(!$.renderWorldCopies||$.lngRange)){var pe=O.lng-$.center.lng;O.lng+=pe>180?-360:pe<-180?360:0}},z}(i.Evented),Rn=function(z){z===void 0&&(z={}),this.options=z,i.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Rn.prototype.getDefaultPosition=function(){return\"bottom-right\"},Rn.prototype.onAdd=function(z){var K=this.options&&this.options.compact;return this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=o.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),K&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),K===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Rn.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Rn.prototype._setElementTitle=function(z,K){var O=this._map._getUIString(\"AttributionControl.\"+K);z.title=O,z.setAttribute(\"aria-label\",O)},Rn.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Rn.prototype._updateEditLink=function(){var z=this._editLink;z||(z=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var K=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||i.config.ACCESS_TOKEN}];if(z){var O=K.reduce(function($,pe,de){return pe.value&&($+=pe.key+\"=\"+pe.value+(de<K.length-1?\"&\":\"\")),$},\"?\");z.href=i.config.FEEDBACK_URL+\"/\"+O+(this._map._hash?this._map._hash.getHashString(!0):\"\"),z.rel=\"noopener nofollow\",this._setElementTitle(z,\"MapFeedback\")}},Rn.prototype._updateData=function(z){z&&(z.sourceDataType===\"metadata\"||z.sourceDataType===\"visibility\"||z.dataType===\"style\")&&(this._updateAttributions(),this._updateEditLink())},Rn.prototype._updateAttributions=function(){if(this._map.style){var z=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?z=z.concat(this.options.customAttribution.map(function($e){return typeof $e!=\"string\"?\"\":$e})):typeof this.options.customAttribution==\"string\"&&z.push(this.options.customAttribution)),this._map.style.stylesheet){var K=this._map.style.stylesheet;this.styleOwner=K.owner,this.styleId=K.id}var O=this._map.style.sourceCaches;for(var $ in O){var pe=O[$];if(pe.used){var de=pe.getSource();de.attribution&&z.indexOf(de.attribution)<0&&z.push(de.attribution)}}z.sort(function($e,pt){return $e.length-pt.length}),z=z.filter(function($e,pt){for(var Kt=pt+1;Kt<z.length;Kt++)if(z[Kt].indexOf($e)>=0)return!1;return!0});var Ie=z.join(\" | \");Ie!==this._attribHTML&&(this._attribHTML=Ie,z.length?(this._innerContainer.innerHTML=Ie,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Rn.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Dn=function(){i.bindAll([\"_updateLogo\"],this),i.bindAll([\"_updateCompact\"],this)};Dn.prototype.onAdd=function(z){this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl\");var K=o.create(\"a\",\"mapboxgl-ctrl-logo\");return K.target=\"_blank\",K.rel=\"noopener nofollow\",K.href=\"https://www.mapbox.com/\",K.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),K.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(K),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Dn.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Dn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Dn.prototype._updateLogo=function(z){(!z||z.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Dn.prototype._logoRequired=function(){if(this._map.style){var z=this._map.style.sourceCaches;for(var K in z){var O=z[K].getSource();if(O.mapbox_logo)return!0}return!1}},Dn.prototype._updateCompact=function(){var z=this._container.children;if(z.length){var K=z[0];this._map.getCanvasContainer().offsetWidth<250?K.classList.add(\"mapboxgl-compact\"):K.classList.remove(\"mapboxgl-compact\")}};var fn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};fn.prototype.add=function(z){var K=++this._id,O=this._queue;return O.push({callback:z,id:K,cancelled:!1}),K},fn.prototype.remove=function(z){for(var K=this._currentlyRunning,O=K?this._queue.concat(K):this._queue,$=0,pe=O;$<pe.length;$+=1){var de=pe[$];if(de.id===z){de.cancelled=!0;return}}},fn.prototype.run=function(z){z===void 0&&(z=0);var K=this._currentlyRunning=this._queue;this._queue=[];for(var O=0,$=K;O<$.length;O+=1){var pe=$[O];if(!pe.cancelled&&(pe.callback(z),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},fn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ai={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ji=i.window.HTMLImageElement,Ln=i.window.HTMLElement,Un=i.window.ImageBitmap,gn=-2,ca=22,Kn=0,Za=60,wn={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:gn,maxZoom:ca,minPitch:Kn,maxPitch:Za,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},vn=function(Y){function z(O){var $=this;if(O=i.extend({},wn,O),O.minZoom!=null&&O.maxZoom!=null&&O.minZoom>O.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(O.minPitch!=null&&O.maxPitch!=null&&O.minPitch>O.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(O.minPitch!=null&&O.minPitch<Kn)throw new Error(\"minPitch must be greater than or equal to \"+Kn);if(O.maxPitch!=null&&O.maxPitch>Za)throw new Error(\"maxPitch must be less than or equal to \"+Za);var pe=new yo(O.minZoom,O.maxZoom,O.minPitch,O.maxPitch,O.renderWorldCopies);if(Y.call(this,pe,O),this._interactive=O.interactive,this._maxTileCacheSize=O.maxTileCacheSize,this._failIfMajorPerformanceCaveat=O.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=O.preserveDrawingBuffer,this._antialias=O.antialias,this._trackResize=O.trackResize,this._bearingSnap=O.bearingSnap,this._refreshExpiredTiles=O.refreshExpiredTiles,this._fadeDuration=O.fadeDuration,this._crossSourceCollisions=O.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=O.collectResourceTiming,this._renderTaskQueue=new fn,this._controls=[],this._mapId=i.uniqueId(),this._locale=i.extend({},Ai,O.locale),this._clickTolerance=O.clickTolerance,this._requestManager=new i.RequestManager(O.transformRequest,O.accessToken),typeof O.container==\"string\"){if(this._container=i.window.document.getElementById(O.container),!this._container)throw new Error(\"Container '\"+O.container+\"' not found.\")}else if(O.container instanceof Ln)this._container=O.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(O.maxBounds&&this.setMaxBounds(O.maxBounds),i.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return $._update(!1)}),this.on(\"moveend\",function(){return $._update(!1)}),this.on(\"zoom\",function(){return $._update(!0)}),typeof i.window!=\"undefined\"&&(i.window.addEventListener(\"online\",this._onWindowOnline,!1),i.window.addEventListener(\"resize\",this._onWindowResize,!1),i.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new yn(this,O);var de=typeof O.hash==\"string\"&&O.hash||void 0;this._hash=O.hash&&new Vl(de).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:O.center,zoom:O.zoom,bearing:O.bearing,pitch:O.pitch}),O.bounds&&(this.resize(),this.fitBounds(O.bounds,i.extend({},O.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=O.localIdeographFontFamily,O.style&&this.setStyle(O.style,{localIdeographFontFamily:O.localIdeographFontFamily}),O.attributionControl&&this.addControl(new Rn({customAttribution:O.customAttribution})),this.addControl(new Dn,O.logoPosition),this.on(\"style.load\",function(){$.transform.unmodified&&$.jumpTo($.style.stylesheet)}),this.on(\"data\",function(Ie){$._update(Ie.dataType===\"style\"),$.fire(new i.Event(Ie.dataType+\"data\",Ie))}),this.on(\"dataloading\",function(Ie){$.fire(new i.Event(Ie.dataType+\"dataloading\",Ie))})}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return z.prototype._getMapId=function(){return this._mapId},z.prototype.addControl=function($,pe){if(pe===void 0&&($.getDefaultPosition?pe=$.getDefaultPosition():pe=\"top-right\"),!$||!$.onAdd)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var de=$.onAdd(this);this._controls.push($);var Ie=this._controlPositions[pe];return pe.indexOf(\"bottom\")!==-1?Ie.insertBefore(de,Ie.firstChild):Ie.appendChild(de),this},z.prototype.removeControl=function($){if(!$||!$.onRemove)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var pe=this._controls.indexOf($);return pe>-1&&this._controls.splice(pe,1),$.onRemove(this),this},z.prototype.hasControl=function($){return this._controls.indexOf($)>-1},z.prototype.resize=function($){var pe=this._containerDimensions(),de=pe[0],Ie=pe[1];this._resizeCanvas(de,Ie),this.transform.resize(de,Ie),this.painter.resize(de,Ie);var $e=!this._moving;return $e&&(this.stop(),this.fire(new i.Event(\"movestart\",$)).fire(new i.Event(\"move\",$))),this.fire(new i.Event(\"resize\",$)),$e&&this.fire(new i.Event(\"moveend\",$)),this},z.prototype.getBounds=function(){return this.transform.getBounds()},z.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},z.prototype.setMaxBounds=function($){return this.transform.setMaxBounds(i.LngLatBounds.convert($)),this._update()},z.prototype.setMinZoom=function($){if($=$==null?gn:$,$>=gn&&$<=this.transform.maxZoom)return this.transform.minZoom=$,this._update(),this.getZoom()<$&&this.setZoom($),this;throw new Error(\"minZoom must be between \"+gn+\" and the current maxZoom, inclusive\")},z.prototype.getMinZoom=function(){return this.transform.minZoom},z.prototype.setMaxZoom=function($){if($=$==null?ca:$,$>=this.transform.minZoom)return this.transform.maxZoom=$,this._update(),this.getZoom()>$&&this.setZoom($),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},z.prototype.getMaxZoom=function(){return this.transform.maxZoom},z.prototype.setMinPitch=function($){if($=$==null?Kn:$,$<Kn)throw new Error(\"minPitch must be greater than or equal to \"+Kn);if($>=Kn&&$<=this.transform.maxPitch)return this.transform.minPitch=$,this._update(),this.getPitch()<$&&this.setPitch($),this;throw new Error(\"minPitch must be between \"+Kn+\" and the current maxPitch, inclusive\")},z.prototype.getMinPitch=function(){return this.transform.minPitch},z.prototype.setMaxPitch=function($){if($=$==null?Za:$,$>Za)throw new Error(\"maxPitch must be less than or equal to \"+Za);if($>=this.transform.minPitch)return this.transform.maxPitch=$,this._update(),this.getPitch()>$&&this.setPitch($),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},z.prototype.getMaxPitch=function(){return this.transform.maxPitch},z.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},z.prototype.setRenderWorldCopies=function($){return this.transform.renderWorldCopies=$,this._update()},z.prototype.project=function($){return this.transform.locationPoint(i.LngLat.convert($))},z.prototype.unproject=function($){return this.transform.pointLocation(i.Point.convert($))},z.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},z.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},z.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},z.prototype._createDelegatedListener=function($,pe,de){var Ie=this,$e;if($===\"mouseenter\"||$===\"mouseover\"){var pt=!1,Kt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length?pt||(pt=!0,de.call(Ie,new oe($,Ie,rr.originalEvent,{features:dr}))):pt=!1},ir=function(){pt=!1};return{layer:pe,listener:de,delegates:{mousemove:Kt,mouseout:ir}}}else if($===\"mouseleave\"||$===\"mouseout\"){var Jt=!1,vt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length?Jt=!0:Jt&&(Jt=!1,de.call(Ie,new oe($,Ie,rr.originalEvent)))},Pt=function(rr){Jt&&(Jt=!1,de.call(Ie,new oe($,Ie,rr.originalEvent)))};return{layer:pe,listener:de,delegates:{mousemove:vt,mouseout:Pt}}}else{var Wt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length&&(rr.features=dr,de.call(Ie,rr),delete rr.features)};return{layer:pe,listener:de,delegates:($e={},$e[$]=Wt,$e)}}},z.prototype.on=function($,pe,de){if(de===void 0)return Y.prototype.on.call(this,$,pe);var Ie=this._createDelegatedListener($,pe,de);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[$]=this._delegatedListeners[$]||[],this._delegatedListeners[$].push(Ie);for(var $e in Ie.delegates)this.on($e,Ie.delegates[$e]);return this},z.prototype.once=function($,pe,de){if(de===void 0)return Y.prototype.once.call(this,$,pe);var Ie=this._createDelegatedListener($,pe,de);for(var $e in Ie.delegates)this.once($e,Ie.delegates[$e]);return this},z.prototype.off=function($,pe,de){var Ie=this;if(de===void 0)return Y.prototype.off.call(this,$,pe);var $e=function(pt){for(var Kt=pt[$],ir=0;ir<Kt.length;ir++){var Jt=Kt[ir];if(Jt.layer===pe&&Jt.listener===de){for(var vt in Jt.delegates)Ie.off(vt,Jt.delegates[vt]);return Kt.splice(ir,1),Ie}}};return this._delegatedListeners&&this._delegatedListeners[$]&&$e(this._delegatedListeners),this},z.prototype.queryRenderedFeatures=function($,pe){if(!this.style)return[];pe===void 0&&$!==void 0&&!($ instanceof i.Point)&&!Array.isArray($)&&(pe=$,$=void 0),pe=pe||{},$=$||[[0,0],[this.transform.width,this.transform.height]];var de;if($ instanceof i.Point||typeof $[0]==\"number\")de=[i.Point.convert($)];else{var Ie=i.Point.convert($[0]),$e=i.Point.convert($[1]);de=[Ie,new i.Point($e.x,Ie.y),$e,new i.Point(Ie.x,$e.y),Ie]}return this.style.queryRenderedFeatures(de,pe,this.transform)},z.prototype.querySourceFeatures=function($,pe){return this.style.querySourceFeatures($,pe)},z.prototype.setStyle=function($,pe){return pe=i.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},pe),pe.diff!==!1&&pe.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&$?(this._diffStyle($,pe),this):(this._localIdeographFontFamily=pe.localIdeographFontFamily,this._updateStyle($,pe))},z.prototype._getUIString=function($){var pe=this._locale[$];if(pe==null)throw new Error(\"Missing UI string '\"+$+\"'\");return pe},z.prototype._updateStyle=function($,pe){if(this.style&&(this.style.setEventedParent(null),this.style._remove()),$)this.style=new mu(this,pe||{});else return delete this.style,this;return this.style.setEventedParent(this,{style:this.style}),typeof $==\"string\"?this.style.loadURL($):this.style.loadJSON($),this},z.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new mu(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},z.prototype._diffStyle=function($,pe){var de=this;if(typeof $==\"string\"){var Ie=this._requestManager.normalizeStyleURL($),$e=this._requestManager.transformRequest(Ie,i.ResourceType.Style);i.getJSON($e,function(pt,Kt){pt?de.fire(new i.ErrorEvent(pt)):Kt&&de._updateDiff(Kt,pe)})}else typeof $==\"object\"&&this._updateDiff($,pe)},z.prototype._updateDiff=function($,pe){try{this.style.setState($)&&this._update(!0)}catch(de){i.warnOnce(\"Unable to perform style diff: \"+(de.message||de.error||de)+\".  Rebuilding the style from scratch.\"),this._updateStyle($,pe)}},z.prototype.getStyle=function(){if(this.style)return this.style.serialize()},z.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():i.warnOnce(\"There is no style added to the map.\")},z.prototype.addSource=function($,pe){return this._lazyInitEmptyStyle(),this.style.addSource($,pe),this._update(!0)},z.prototype.isSourceLoaded=function($){var pe=this.style&&this.style.sourceCaches[$];if(pe===void 0){this.fire(new i.ErrorEvent(new Error(\"There is no source with ID '\"+$+\"'\")));return}return pe.loaded()},z.prototype.areTilesLoaded=function(){var $=this.style&&this.style.sourceCaches;for(var pe in $){var de=$[pe],Ie=de._tiles;for(var $e in Ie){var pt=Ie[$e];if(!(pt.state===\"loaded\"||pt.state===\"errored\"))return!1}}return!0},z.prototype.addSourceType=function($,pe,de){return this._lazyInitEmptyStyle(),this.style.addSourceType($,pe,de)},z.prototype.removeSource=function($){return this.style.removeSource($),this._update(!0)},z.prototype.getSource=function($){return this.style.getSource($)},z.prototype.addImage=function($,pe,de){de===void 0&&(de={});var Ie=de.pixelRatio;Ie===void 0&&(Ie=1);var $e=de.sdf;$e===void 0&&($e=!1);var pt=de.stretchX,Kt=de.stretchY,ir=de.content;this._lazyInitEmptyStyle();var Jt=0;if(pe instanceof ji||Un&&pe instanceof Un){var vt=i.browser.getImageData(pe),Pt=vt.width,Wt=vt.height,rr=vt.data;this.style.addImage($,{data:new i.RGBAImage({width:Pt,height:Wt},rr),pixelRatio:Ie,stretchX:pt,stretchY:Kt,content:ir,sdf:$e,version:Jt})}else{if(pe.width===void 0||pe.height===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var dr=pe.width,pr=pe.height,kr=pe.data,Ar=pe;this.style.addImage($,{data:new i.RGBAImage({width:dr,height:pr},new Uint8Array(kr)),pixelRatio:Ie,stretchX:pt,stretchY:Kt,content:ir,sdf:$e,version:Jt,userImage:Ar}),Ar.onAdd&&Ar.onAdd(this,$)}},z.prototype.updateImage=function($,pe){var de=this.style.getImage($);if(!de)return this.fire(new i.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var Ie=pe instanceof ji||Un&&pe instanceof Un?i.browser.getImageData(pe):pe,$e=Ie.width,pt=Ie.height,Kt=Ie.data;if($e===void 0||pt===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if($e!==de.data.width||pt!==de.data.height)return this.fire(new i.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var ir=!(pe instanceof ji||Un&&pe instanceof Un);de.data.replace(Kt,ir),this.style.updateImage($,de)},z.prototype.hasImage=function($){return $?!!this.style.getImage($):(this.fire(new i.ErrorEvent(new Error(\"Missing required image id\"))),!1)},z.prototype.removeImage=function($){this.style.removeImage($)},z.prototype.loadImage=function($,pe){i.getImage(this._requestManager.transformRequest($,i.ResourceType.Image),pe)},z.prototype.listImages=function(){return this.style.listImages()},z.prototype.addLayer=function($,pe){return this._lazyInitEmptyStyle(),this.style.addLayer($,pe),this._update(!0)},z.prototype.moveLayer=function($,pe){return this.style.moveLayer($,pe),this._update(!0)},z.prototype.removeLayer=function($){return this.style.removeLayer($),this._update(!0)},z.prototype.getLayer=function($){return this.style.getLayer($)},z.prototype.setLayerZoomRange=function($,pe,de){return this.style.setLayerZoomRange($,pe,de),this._update(!0)},z.prototype.setFilter=function($,pe,de){return de===void 0&&(de={}),this.style.setFilter($,pe,de),this._update(!0)},z.prototype.getFilter=function($){return this.style.getFilter($)},z.prototype.setPaintProperty=function($,pe,de,Ie){return Ie===void 0&&(Ie={}),this.style.setPaintProperty($,pe,de,Ie),this._update(!0)},z.prototype.getPaintProperty=function($,pe){return this.style.getPaintProperty($,pe)},z.prototype.setLayoutProperty=function($,pe,de,Ie){return Ie===void 0&&(Ie={}),this.style.setLayoutProperty($,pe,de,Ie),this._update(!0)},z.prototype.getLayoutProperty=function($,pe){return this.style.getLayoutProperty($,pe)},z.prototype.setLight=function($,pe){return pe===void 0&&(pe={}),this._lazyInitEmptyStyle(),this.style.setLight($,pe),this._update(!0)},z.prototype.getLight=function(){return this.style.getLight()},z.prototype.setFeatureState=function($,pe){return this.style.setFeatureState($,pe),this._update()},z.prototype.removeFeatureState=function($,pe){return this.style.removeFeatureState($,pe),this._update()},z.prototype.getFeatureState=function($){return this.style.getFeatureState($)},z.prototype.getContainer=function(){return this._container},z.prototype.getCanvasContainer=function(){return this._canvasContainer},z.prototype.getCanvas=function(){return this._canvas},z.prototype._containerDimensions=function(){var $=0,pe=0;return this._container&&($=this._container.clientWidth||400,pe=this._container.clientHeight||300),[$,pe]},z.prototype._detectMissingCSS=function(){var $=i.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\");$!==\"rgb(250, 128, 114)\"&&i.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},z.prototype._setupContainer=function(){var $=this._container;$.classList.add(\"mapboxgl-map\");var pe=this._missingCSSCanary=o.create(\"div\",\"mapboxgl-canary\",$);pe.style.visibility=\"hidden\",this._detectMissingCSS();var de=this._canvasContainer=o.create(\"div\",\"mapboxgl-canvas-container\",$);this._interactive&&de.classList.add(\"mapboxgl-interactive\"),this._canvas=o.create(\"canvas\",\"mapboxgl-canvas\",de),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var Ie=this._containerDimensions();this._resizeCanvas(Ie[0],Ie[1]);var $e=this._controlContainer=o.create(\"div\",\"mapboxgl-control-container\",$),pt=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(Kt){pt[Kt]=o.create(\"div\",\"mapboxgl-ctrl-\"+Kt,$e)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},z.prototype._resizeCanvas=function($,pe){var de=i.browser.devicePixelRatio||1;this._canvas.width=de*$,this._canvas.height=de*pe,this._canvas.style.width=$+\"px\",this._canvas.style.height=pe+\"px\"},z.prototype._setupPainter=function(){var $=i.extend({},a.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),pe=this._canvas.getContext(\"webgl\",$)||this._canvas.getContext(\"experimental-webgl\",$);if(!pe){this.fire(new i.ErrorEvent(new Error(\"Failed to initialize WebGL\")));return}this.painter=new co(pe,this.transform),i.webpSupported.testSupport(pe)},z.prototype._contextLost=function($){$.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new i.Event(\"webglcontextlost\",{originalEvent:$}))},z.prototype._contextRestored=function($){this._setupPainter(),this.resize(),this._update(),this.fire(new i.Event(\"webglcontextrestored\",{originalEvent:$}))},z.prototype._onMapScroll=function($){if($.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},z.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},z.prototype._update=function($){return this.style?(this._styleDirty=this._styleDirty||$,this._sourcesDirty=!0,this.triggerRepaint(),this):this},z.prototype._requestRenderFrame=function($){return this._update(),this._renderTaskQueue.add($)},z.prototype._cancelRenderFrame=function($){this._renderTaskQueue.remove($)},z.prototype._render=function($){var pe=this,de,Ie=0,$e=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(de=$e.createQueryEXT(),$e.beginQueryEXT($e.TIME_ELAPSED_EXT,de),Ie=i.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run($),!this._removed){var pt=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var Kt=this.transform.zoom,ir=i.browser.now();this.style.zoomHistory.update(Kt,ir);var Jt=new i.EvaluationParameters(Kt,{now:ir,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),vt=Jt.crossFadingFactor();(vt!==1||vt!==this._crossFadingFactor)&&(pt=!0,this._crossFadingFactor=vt),this.style.update(Jt)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new i.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new i.Event(\"load\"))),this.style&&(this.style.hasTransitions()||pt)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var Pt=i.browser.now()-Ie;$e.endQueryEXT($e.TIME_ELAPSED_EXT,de),setTimeout(function(){var dr=$e.getQueryObjectEXT(de,$e.QUERY_RESULT_EXT)/1e6;$e.deleteQueryEXT(de),pe.fire(new i.Event(\"gpu-timing-frame\",{cpuTime:Pt,gpuTime:dr}))},50)}if(this.listens(\"gpu-timing-layer\")){var Wt=this.painter.collectGpuTimers();setTimeout(function(){var dr=pe.painter.queryGpuTimers(Wt);pe.fire(new i.Event(\"gpu-timing-layer\",{layerTimes:dr}))},50)}var rr=this._sourcesDirty||this._styleDirty||this._placementDirty;return rr||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new i.Event(\"idle\")),this._loaded&&!this._fullyLoaded&&!rr&&(this._fullyLoaded=!0),this}},z.prototype.remove=function(){this._hash&&this._hash.remove();for(var $=0,pe=this._controls;$<pe.length;$+=1){var de=pe[$];de.onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof i.window!=\"undefined\"&&(i.window.removeEventListener(\"resize\",this._onWindowResize,!1),i.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),i.window.removeEventListener(\"online\",this._onWindowOnline,!1));var Ie=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");Ie&&Ie.loseContext&&Ie.loseContext(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new i.Event(\"remove\"))},z.prototype.triggerRepaint=function(){var $=this;this.style&&!this._frame&&(this._frame=i.browser.frame(function(pe){$._frame=null,$._render(pe)}))},z.prototype._onWindowOnline=function(){this._update()},z.prototype._onWindowResize=function($){this._trackResize&&this.resize({originalEvent:$})._update()},K.showTileBoundaries.get=function(){return!!this._showTileBoundaries},K.showTileBoundaries.set=function(O){this._showTileBoundaries!==O&&(this._showTileBoundaries=O,this._update())},K.showPadding.get=function(){return!!this._showPadding},K.showPadding.set=function(O){this._showPadding!==O&&(this._showPadding=O,this._update())},K.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},K.showCollisionBoxes.set=function(O){this._showCollisionBoxes!==O&&(this._showCollisionBoxes=O,O?this.style._generateCollisionBoxes():this._update())},K.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},K.showOverdrawInspector.set=function(O){this._showOverdrawInspector!==O&&(this._showOverdrawInspector=O,this._update())},K.repaint.get=function(){return!!this._repaint},K.repaint.set=function(O){this._repaint!==O&&(this._repaint=O,this.triggerRepaint())},K.vertices.get=function(){return!!this._vertices},K.vertices.set=function(O){this._vertices=O,this._update()},z.prototype._setCacheLimits=function($,pe){i.setCacheLimits($,pe)},K.version.get=function(){return i.version},Object.defineProperties(z.prototype,K),z}(to);function Aa(Y){Y.parentNode&&Y.parentNode.removeChild(Y)}var aa={showCompass:!0,showZoom:!0,visualizePitch:!1},Xn=function(z){var K=this;this.options=i.extend({},aa,z),this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(O){return O.preventDefault()}),this.options.showZoom&&(i.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",function(O){return K._map.zoomIn({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",function(O){return K._map.zoomOut({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(i.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",function(O){K.options.visualizePitch?K._map.resetNorthPitch({},{originalEvent:O}):K._map.resetNorth({},{originalEvent:O})}),this._compassIcon=o.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Xn.prototype._updateZoomButtons=function(){var z=this._map.getZoom(),K=z===this._map.getMaxZoom(),O=z===this._map.getMinZoom();this._zoomInButton.disabled=K,this._zoomOutButton.disabled=O,this._zoomInButton.setAttribute(\"aria-disabled\",K.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",O.toString())},Xn.prototype._rotateCompassArrow=function(){var z=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=z},Xn.prototype.onAdd=function(z){return this._map=z,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Vn(this._map,this._compass,this.options.visualizePitch)),this._container},Xn.prototype.onRemove=function(){o.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Xn.prototype._createButton=function(z,K){var O=o.create(\"button\",z,this._container);return O.type=\"button\",O.addEventListener(\"click\",K),O},Xn.prototype._setButtonTitle=function(z,K){var O=this._map._getUIString(\"NavigationControl.\"+K);z.title=O,z.setAttribute(\"aria-label\",O)};var Vn=function(z,K,O){O===void 0&&(O=!1),this._clickTolerance=10,this.element=K,this.mouseRotate=new un({clickTolerance:z.dragRotate._mouseRotate._clickTolerance}),this.map=z,O&&(this.mousePitch=new dn({clickTolerance:z.dragRotate._mousePitch._clickTolerance})),i.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),o.addEventListener(K,\"mousedown\",this.mousedown),o.addEventListener(K,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(K,\"touchmove\",this.touchmove),o.addEventListener(K,\"touchend\",this.touchend),o.addEventListener(K,\"touchcancel\",this.reset)};Vn.prototype.down=function(z,K){this.mouseRotate.mousedown(z,K),this.mousePitch&&this.mousePitch.mousedown(z,K),o.disableDrag()},Vn.prototype.move=function(z,K){var O=this.map,$=this.mouseRotate.mousemoveWindow(z,K);if($&&$.bearingDelta&&O.setBearing(O.getBearing()+$.bearingDelta),this.mousePitch){var pe=this.mousePitch.mousemoveWindow(z,K);pe&&pe.pitchDelta&&O.setPitch(O.getPitch()+pe.pitchDelta)}},Vn.prototype.off=function(){var z=this.element;o.removeEventListener(z,\"mousedown\",this.mousedown),o.removeEventListener(z,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(z,\"touchmove\",this.touchmove),o.removeEventListener(z,\"touchend\",this.touchend),o.removeEventListener(z,\"touchcancel\",this.reset),this.offTemp()},Vn.prototype.offTemp=function(){o.enableDrag(),o.removeEventListener(i.window,\"mousemove\",this.mousemove),o.removeEventListener(i.window,\"mouseup\",this.mouseup)},Vn.prototype.mousedown=function(z){this.down(i.extend({},z,{ctrlKey:!0,preventDefault:function(){return z.preventDefault()}}),o.mousePos(this.element,z)),o.addEventListener(i.window,\"mousemove\",this.mousemove),o.addEventListener(i.window,\"mouseup\",this.mouseup)},Vn.prototype.mousemove=function(z){this.move(z,o.mousePos(this.element,z))},Vn.prototype.mouseup=function(z){this.mouseRotate.mouseupWindow(z),this.mousePitch&&this.mousePitch.mouseupWindow(z),this.offTemp()},Vn.prototype.touchstart=function(z){z.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,z.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return z.preventDefault()}},this._startPos))},Vn.prototype.touchmove=function(z){z.targetTouches.length!==1?this.reset():(this._lastPos=o.touchPos(this.element,z.targetTouches)[0],this.move({preventDefault:function(){return z.preventDefault()}},this._lastPos))},Vn.prototype.touchend=function(z){z.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Vn.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};function ma(Y,z,K){if(Y=new i.LngLat(Y.lng,Y.lat),z){var O=new i.LngLat(Y.lng-360,Y.lat),$=new i.LngLat(Y.lng+360,Y.lat),pe=K.locationPoint(Y).distSqr(z);K.locationPoint(O).distSqr(z)<pe?Y=O:K.locationPoint($).distSqr(z)<pe&&(Y=$)}for(;Math.abs(Y.lng-K.center.lng)>180;){var de=K.locationPoint(Y);if(de.x>=0&&de.y>=0&&de.x<=K.width&&de.y<=K.height)break;Y.lng>K.center.lng?Y.lng-=360:Y.lng+=360}return Y}var ro={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ao(Y,z,K){var O=Y.classList;for(var $ in ro)O.remove(\"mapboxgl-\"+K+\"-anchor-\"+$);O.add(\"mapboxgl-\"+K+\"-anchor-\"+z)}var Jn=function(Y){function z(K,O){if(Y.call(this),(K instanceof i.window.HTMLElement||O)&&(K=i.extend({element:K},O)),i.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=K&&K.anchor||\"center\",this._color=K&&K.color||\"#3FB1CE\",this._scale=K&&K.scale||1,this._draggable=K&&K.draggable||!1,this._clickTolerance=K&&K.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=K&&K.rotation||0,this._rotationAlignment=K&&K.rotationAlignment||\"auto\",this._pitchAlignment=K&&K.pitchAlignment&&K.pitchAlignment!==\"auto\"?K.pitchAlignment:this._rotationAlignment,!K||!K.element){this._defaultMarker=!0,this._element=o.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var $=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),pe=41,de=27;$.setAttributeNS(null,\"display\",\"block\"),$.setAttributeNS(null,\"height\",pe+\"px\"),$.setAttributeNS(null,\"width\",de+\"px\"),$.setAttributeNS(null,\"viewBox\",\"0 0 \"+de+\" \"+pe);var Ie=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ie.setAttributeNS(null,\"stroke\",\"none\"),Ie.setAttributeNS(null,\"stroke-width\",\"1\"),Ie.setAttributeNS(null,\"fill\",\"none\"),Ie.setAttributeNS(null,\"fill-rule\",\"evenodd\");var $e=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");$e.setAttributeNS(null,\"fill-rule\",\"nonzero\");var pt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");pt.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),pt.setAttributeNS(null,\"fill\",\"#000000\");for(var Kt=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}],ir=0,Jt=Kt;ir<Jt.length;ir+=1){var vt=Jt[ir],Pt=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Pt.setAttributeNS(null,\"opacity\",\"0.04\"),Pt.setAttributeNS(null,\"cx\",\"10.5\"),Pt.setAttributeNS(null,\"cy\",\"5.80029008\"),Pt.setAttributeNS(null,\"rx\",vt.rx),Pt.setAttributeNS(null,\"ry\",vt.ry),pt.appendChild(Pt)}var Wt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Wt.setAttributeNS(null,\"fill\",this._color);var rr=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");rr.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),Wt.appendChild(rr);var dr=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");dr.setAttributeNS(null,\"opacity\",\"0.25\"),dr.setAttributeNS(null,\"fill\",\"#000000\");var pr=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");pr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),dr.appendChild(pr);var kr=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");kr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),kr.setAttributeNS(null,\"fill\",\"#FFFFFF\");var Ar=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ar.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var gr=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");gr.setAttributeNS(null,\"fill\",\"#000000\"),gr.setAttributeNS(null,\"opacity\",\"0.25\"),gr.setAttributeNS(null,\"cx\",\"5.5\"),gr.setAttributeNS(null,\"cy\",\"5.5\"),gr.setAttributeNS(null,\"r\",\"5.4999962\");var Cr=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Cr.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Cr.setAttributeNS(null,\"cx\",\"5.5\"),Cr.setAttributeNS(null,\"cy\",\"5.5\"),Cr.setAttributeNS(null,\"r\",\"5.4999962\"),Ar.appendChild(gr),Ar.appendChild(Cr),$e.appendChild(pt),$e.appendChild(Wt),$e.appendChild(dr),$e.appendChild(kr),$e.appendChild(Ar),$.appendChild($e),$.setAttributeNS(null,\"height\",pe*this._scale+\"px\"),$.setAttributeNS(null,\"width\",de*this._scale+\"px\"),this._element.appendChild($),this._offset=i.Point.convert(K&&K.offset||[0,-14])}else this._element=K.element,this._offset=i.Point.convert(K&&K.offset||[0,0]);this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(cr){cr.preventDefault()}),this._element.addEventListener(\"mousedown\",function(cr){cr.preventDefault()}),Ao(this._element,this._anchor,\"marker\"),this._popup=null}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.addTo=function(O){return this.remove(),this._map=O,O.getCanvasContainer().appendChild(this._element),O.on(\"move\",this._update),O.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},z.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this},z.prototype.getLngLat=function(){return this._lngLat},z.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},z.prototype.getElement=function(){return this._element},z.prototype.setPopup=function(O){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),O){if(!(\"offset\"in O.options)){var $=38.1,pe=13.5,de=Math.sqrt(Math.pow(pe,2)/2);O.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-$],\"bottom-left\":[de,($-pe+de)*-1],\"bottom-right\":[-de,($-pe+de)*-1],left:[pe,($-pe)*-1],right:[-pe,($-pe)*-1]}:this._offset}this._popup=O,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},z.prototype._onKeyPress=function(O){var $=O.code,pe=O.charCode||O.keyCode;($===\"Space\"||$===\"Enter\"||pe===32||pe===13)&&this.togglePopup()},z.prototype._onMapClick=function(O){var $=O.originalEvent.target,pe=this._element;this._popup&&($===pe||pe.contains($))&&this.togglePopup()},z.prototype.getPopup=function(){return this._popup},z.prototype.togglePopup=function(){var O=this._popup;if(O)O.isOpen()?O.remove():O.addTo(this._map);else return this;return this},z.prototype._update=function(O){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ma(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var $=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?$=\"rotateZ(\"+this._rotation+\"deg)\":this._rotationAlignment===\"map\"&&($=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var pe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?pe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(pe=\"rotateX(\"+this._map.getPitch()+\"deg)\"),(!O||O.type===\"moveend\")&&(this._pos=this._pos.round()),o.setTransform(this._element,ro[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+pe+\" \"+$)}},z.prototype.getOffset=function(){return this._offset},z.prototype.setOffset=function(O){return this._offset=i.Point.convert(O),this._update(),this},z.prototype._onMove=function(O){if(!this._isDragging){var $=this._clickTolerance||this._map._clickTolerance;this._isDragging=O.point.dist(this._pointerdownPos)>=$}this._isDragging&&(this._pos=O.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new i.Event(\"dragstart\"))),this.fire(new i.Event(\"drag\")))},z.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new i.Event(\"dragend\")),this._state=\"inactive\"},z.prototype._addDragHandler=function(O){this._element.contains(O.originalEvent.target)&&(O.preventDefault(),this._positionDelta=O.point.sub(this._pos).add(this._offset),this._pointerdownPos=O.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},z.prototype.setDraggable=function(O){return this._draggable=!!O,this._map&&(O?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},z.prototype.isDraggable=function(){return this._draggable},z.prototype.setRotation=function(O){return this._rotation=O||0,this._update(),this},z.prototype.getRotation=function(){return this._rotation},z.prototype.setRotationAlignment=function(O){return this._rotationAlignment=O||\"auto\",this._update(),this},z.prototype.getRotationAlignment=function(){return this._rotationAlignment},z.prototype.setPitchAlignment=function(O){return this._pitchAlignment=O&&O!==\"auto\"?O:this._rotationAlignment,this._update(),this},z.prototype.getPitchAlignment=function(){return this._pitchAlignment},z}(i.Evented),Oa={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},_o;function Po(Y){_o!==void 0?Y(_o):i.window.navigator.permissions!==void 0?i.window.navigator.permissions.query({name:\"geolocation\"}).then(function(z){_o=z.state!==\"denied\",Y(_o)}):(_o=!!i.window.navigator.geolocation,Y(_o))}var Jo=0,Xl=!1,$c=function(Y){function z(K){Y.call(this),this.options=i.extend({},Oa,K),i.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.onAdd=function(O){return this._map=O,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),Po(this._setupUI),this._container},z.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Jo=0,Xl=!1},z.prototype._isOutOfMapMaxBounds=function(O){var $=this._map.getMaxBounds(),pe=O.coords;return $&&(pe.longitude<$.getWest()||pe.longitude>$.getEast()||pe.latitude<$.getSouth()||pe.latitude>$.getNorth())},z.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break}},z.prototype._onSuccess=function(O){if(this._map){if(this._isOutOfMapMaxBounds(O)){this._setErrorState(),this.fire(new i.Event(\"outofmaxbounds\",O)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=O,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(O),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(O),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"geolocate\",O)),this._finish()}},z.prototype._updateCamera=function(O){var $=new i.LngLat(O.coords.longitude,O.coords.latitude),pe=O.coords.accuracy,de=this._map.getBearing(),Ie=i.extend({bearing:de},this.options.fitBoundsOptions);this._map.fitBounds($.toBounds(pe),Ie,{geolocateSource:!0})},z.prototype._updateMarker=function(O){if(O){var $=new i.LngLat(O.coords.longitude,O.coords.latitude);this._accuracyCircleMarker.setLngLat($).addTo(this._map),this._userLocationDotMarker.setLngLat($).addTo(this._map),this._accuracy=O.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},z.prototype._updateCircleRadius=function(){var O=this._map._container.clientHeight/2,$=this._map.unproject([0,O]),pe=this._map.unproject([1,O]),de=$.distanceTo(pe),Ie=Math.ceil(2*this._accuracy/de);this._circleElement.style.width=Ie+\"px\",this._circleElement.style.height=Ie+\"px\"},z.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},z.prototype._onError=function(O){if(this._map){if(this.options.trackUserLocation)if(O.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var $=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=$,this._geolocateButton.setAttribute(\"aria-label\",$),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(O.code===3&&Xl)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"error\",O)),this._finish()}},z.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},z.prototype._setupUI=function(O){var $=this;if(this._container.addEventListener(\"contextmenu\",function(Ie){return Ie.preventDefault()}),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",O===!1){i.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var pe=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=pe,this._geolocateButton.setAttribute(\"aria-label\",pe)}else{var de=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=de,this._geolocateButton.setAttribute(\"aria-label\",de)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Jn(this._dotElement),this._circleElement=o.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Jn({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(Ie){var $e=Ie.originalEvent&&Ie.originalEvent.type===\"resize\";!Ie.geolocateSource&&$._watchState===\"ACTIVE_LOCK\"&&!$e&&($._watchState=\"BACKGROUND\",$._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),$._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),$.fire(new i.Event(\"trackuserlocationend\")))})},z.prototype.trigger=function(){if(!this._setup)return i.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new i.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Jo--,Xl=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new i.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new i.Event(\"trackuserlocationstart\"));break}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Jo++;var O;Jo>1?(O={maximumAge:6e5,timeout:0},Xl=!0):(O=this.options.positionOptions,Xl=!1),this._geolocationWatchID=i.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,O)}}else i.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},z.prototype._clearWatch=function(){i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},z}(i.Evented),xs={maxWidth:100,unit:\"metric\"},Qc=function(z){this.options=i.extend({},xs,z),i.bindAll([\"_onMove\",\"setUnit\"],this)};Qc.prototype.getDefaultPosition=function(){return\"bottom-left\"},Qc.prototype._onMove=function(){El(this._map,this._container,this.options)},Qc.prototype.onAdd=function(z){return this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",z.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Qc.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Qc.prototype.setUnit=function(z){this.options.unit=z,El(this._map,this._container,this.options)};function El(Y,z,K){var O=K&&K.maxWidth||100,$=Y._container.clientHeight/2,pe=Y.unproject([0,$]),de=Y.unproject([O,$]),Ie=pe.distanceTo(de);if(K&&K.unit===\"imperial\"){var $e=3.2808*Ie;if($e>5280){var pt=$e/5280;bc(z,O,pt,Y._getUIString(\"ScaleControl.Miles\"))}else bc(z,O,$e,Y._getUIString(\"ScaleControl.Feet\"))}else if(K&&K.unit===\"nautical\"){var Kt=Ie/1852;bc(z,O,Kt,Y._getUIString(\"ScaleControl.NauticalMiles\"))}else Ie>=1e3?bc(z,O,Ie/1e3,Y._getUIString(\"ScaleControl.Kilometers\")):bc(z,O,Ie,Y._getUIString(\"ScaleControl.Meters\"))}function bc(Y,z,K,O){var $=yf(K),pe=$/K;Y.style.width=z*pe+\"px\",Y.innerHTML=$+\"&nbsp;\"+O}function wc(Y){var z=Math.pow(10,Math.ceil(-Math.log(Y)/Math.LN10));return Math.round(Y*z)/z}function yf(Y){var z=Math.pow(10,(\"\"+Math.floor(Y)).length-1),K=Y/z;return K=K>=10?10:K>=5?5:K>=3?3:K>=2?2:K>=1?1:wc(K),z*K}var Hl=function(z){this._fullscreen=!1,z&&z.container&&(z.container instanceof i.window.HTMLElement?this._container=z.container:i.warnOnce(\"Full screen control 'container' must be a DOM element.\")),i.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in i.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in i.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in i.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in i.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Hl.prototype.onAdd=function(z){return this._map=z,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",i.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Hl.prototype.onRemove=function(){o.remove(this._controlContainer),this._map=null,i.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Hl.prototype._checkFullscreenSupport=function(){return!!(i.window.document.fullscreenEnabled||i.window.document.mozFullScreenEnabled||i.window.document.msFullscreenEnabled||i.window.document.webkitFullscreenEnabled)},Hl.prototype._setupUI=function(){var z=this._fullscreenButton=o.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"mapboxgl-ctrl-icon\",z).setAttribute(\"aria-hidden\",!0),z.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),i.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Hl.prototype._updateTitle=function(){var z=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",z),this._fullscreenButton.title=z},Hl.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Hl.prototype._isFullscreen=function(){return this._fullscreen},Hl.prototype._changeIcon=function(){var z=i.window.document.fullscreenElement||i.window.document.mozFullScreenElement||i.window.document.webkitFullscreenElement||i.window.document.msFullscreenElement;z===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Hl.prototype._onClickFullscreen=function(){this._isFullscreen()?i.window.document.exitFullscreen?i.window.document.exitFullscreen():i.window.document.mozCancelFullScreen?i.window.document.mozCancelFullScreen():i.window.document.msExitFullscreen?i.window.document.msExitFullscreen():i.window.document.webkitCancelFullScreen&&i.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Fc={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},ef=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ls=function(Y){function z(K){Y.call(this),this.options=i.extend(Object.create(Fc),K),i.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.addTo=function(O){return this._map&&this.remove(),this._map=O,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new i.Event(\"open\")),this},z.prototype.isOpen=function(){return!!this._map},z.prototype.remove=function(){return this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new i.Event(\"close\")),this},z.prototype.getLngLat=function(){return this._lngLat},z.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},z.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},z.prototype.getElement=function(){return this._container},z.prototype.setText=function(O){return this.setDOMContent(i.window.document.createTextNode(O))},z.prototype.setHTML=function(O){var $=i.window.document.createDocumentFragment(),pe=i.window.document.createElement(\"body\"),de;for(pe.innerHTML=O;de=pe.firstChild,!!de;)$.appendChild(de);return this.setDOMContent($)},z.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},z.prototype.setMaxWidth=function(O){return this.options.maxWidth=O,this._update(),this},z.prototype.setDOMContent=function(O){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(O),this._createCloseButton(),this._update(),this._focusFirstElement(),this},z.prototype.addClassName=function(O){this._container&&this._container.classList.add(O)},z.prototype.removeClassName=function(O){this._container&&this._container.classList.remove(O)},z.prototype.setOffset=function(O){return this.options.offset=O,this._update(),this},z.prototype.toggleClassName=function(O){if(this._container)return this._container.classList.toggle(O)},z.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},z.prototype._onMouseUp=function(O){this._update(O.point)},z.prototype._onMouseMove=function(O){this._update(O.point)},z.prototype._onDrag=function(O){this._update(O.point)},z.prototype._update=function(O){var $=this,pe=this._lngLat||this._trackPointer;if(!(!this._map||!pe||!this._content)&&(this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(vt){return $._container.classList.add(vt)}),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ma(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!O))){var de=this._pos=this._trackPointer&&O?O:this._map.project(this._lngLat),Ie=this.options.anchor,$e=_f(this.options.offset);if(!Ie){var pt=this._container.offsetWidth,Kt=this._container.offsetHeight,ir;de.y+$e.bottom.y<Kt?ir=[\"top\"]:de.y>this._map.transform.height-Kt?ir=[\"bottom\"]:ir=[],de.x<pt/2?ir.push(\"left\"):de.x>this._map.transform.width-pt/2&&ir.push(\"right\"),ir.length===0?Ie=\"bottom\":Ie=ir.join(\"-\")}var Jt=de.add($e[Ie]).round();o.setTransform(this._container,ro[Ie]+\" translate(\"+Jt.x+\"px,\"+Jt.y+\"px)\"),Ao(this._container,Ie,\"popup\")}},z.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var O=this._container.querySelector(ef);O&&O.focus()}},z.prototype._onClose=function(){this.remove()},z}(i.Evented);function _f(Y){if(Y)if(typeof Y==\"number\"){var z=Math.round(Math.sqrt(.5*Math.pow(Y,2)));return{center:new i.Point(0,0),top:new i.Point(0,Y),\"top-left\":new i.Point(z,z),\"top-right\":new i.Point(-z,z),bottom:new i.Point(0,-Y),\"bottom-left\":new i.Point(z,-z),\"bottom-right\":new i.Point(-z,-z),left:new i.Point(Y,0),right:new i.Point(-Y,0)}}else if(Y instanceof i.Point||Array.isArray(Y)){var K=i.Point.convert(Y);return{center:K,top:K,\"top-left\":K,\"top-right\":K,bottom:K,\"bottom-left\":K,\"bottom-right\":K,left:K,right:K}}else return{center:i.Point.convert(Y.center||[0,0]),top:i.Point.convert(Y.top||[0,0]),\"top-left\":i.Point.convert(Y[\"top-left\"]||[0,0]),\"top-right\":i.Point.convert(Y[\"top-right\"]||[0,0]),bottom:i.Point.convert(Y.bottom||[0,0]),\"bottom-left\":i.Point.convert(Y[\"bottom-left\"]||[0,0]),\"bottom-right\":i.Point.convert(Y[\"bottom-right\"]||[0,0]),left:i.Point.convert(Y.left||[0,0]),right:i.Point.convert(Y.right||[0,0])};else return _f(new i.Point(0,0))}var ns={version:i.version,supported:a,setRTLTextPlugin:i.setRTLTextPlugin,getRTLTextPluginStatus:i.getRTLTextPluginStatus,Map:vn,NavigationControl:Xn,GeolocateControl:$c,AttributionControl:Rn,ScaleControl:Qc,FullscreenControl:Hl,Popup:ls,Marker:Jn,Style:mu,LngLat:i.LngLat,LngLatBounds:i.LngLatBounds,Point:i.Point,MercatorCoordinate:i.MercatorCoordinate,Evented:i.Evented,config:i.config,prewarm:jn,clearPrewarmedResources:la,get accessToken(){return i.config.ACCESS_TOKEN},set accessToken(Y){i.config.ACCESS_TOKEN=Y},get baseApiUrl(){return i.config.API_URL},set baseApiUrl(Y){i.config.API_URL=Y},get workerCount(){return Pi.workerCount},set workerCount(Y){Pi.workerCount=Y},get maxParallelImageRequests(){return i.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(Y){i.config.MAX_PARALLEL_IMAGE_REQUESTS=Y},clearStorage:function(z){i.clearTileCache(z)},workerUrl:\"\"};return ns}),r})});var HUe=ye((Syr,VUe)=>{\"use strict\";var tw=Mr(),xHt=Ll().sanitizeHTML,bHt=UK(),BUe=c1();function NUe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=BUe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ig=NUe.prototype;ig.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=jF(t)};ig.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ig.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ig.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ig.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ig.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapboxLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ig.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!jF(e)){var r=wHt(e);t.addSource(this.idSource,r)}};ig.findFollowingMapboxLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(BUe.traceLayerPrefix)===0){e=n;break}}return e};ig.updateLayer=function(e){var t=this.subplot,r=UUe(e),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),jF(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ig.updateStyle=function(e){if(jF(e)){var t=UUe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ig.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ig.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function jF(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return tw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function UUe(e){var t={},r={};switch(e.type){case\"circle\":tw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":tw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":tw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=bHt(n.textposition,n.iconsize);tw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),tw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":tw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function wHt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=xHt(e.sourceattribution)),n}VUe.exports=function(t,r,n){var i=new NUe(t,r);return i.update(n),i}});var $Ue=ye((Myr,JUe)=>{\"use strict\";var XK=ZK(),YK=Mr(),ZUe=ix(),GUe=ba(),THt=Qa(),AHt=gv(),WF=Nc(),XUe=Sg(),SHt=XUe.drawMode,MHt=XUe.selectMode,EHt=wf().prepSelect,kHt=wf().clearOutline,CHt=wf().clearSelectionsCache,LHt=wf().selectOnClick,yx=c1(),PHt=HUe();function YUe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Ah=YUe.prototype;Ah.plot=function(e,t,r){var n=this,i=t[n.id];n.map&&i.accesstoken!==n.accessToken&&(n.map.remove(),n.map=null,n.styleObj=null,n.traceHash={},n.layerList=[]);var a;n.map?a=new Promise(function(o,s){n.updateMap(e,t,o,s)}):a=new Promise(function(o,s){n.createMap(e,t,o,s)}),r.push(a)};Ah.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=KUe(a.style,t);i.accessToken=a.accesstoken;var s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new XK.Map({container:i.div,style:o.style,center:KK(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new XK.AttributionControl({compact:!0}));u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var c=[];c.push(new Promise(function(f){u.once(\"load\",f)})),c=c.concat(ZUe.fetchTraceGeoData(e)),Promise.all(c).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Ah.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=KUe(o.style,t);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(ZUe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Ah.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var jUe={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};Ah.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return jUe[f[0].trace.type]-jUe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Ah.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(KK(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.mapbox?t.scrollZoom.enable():t.scrollZoom.disable()};Ah.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Ah.rejectOnError=function(e){var t=this.map;function r(){e(new Error(yx.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Ah.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},THt.setConvert(t.mockAxis,e)};Ah.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];GUe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&WF.hover(n,s,r.id)},WF.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){WF.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];GUe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(KK(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){CHt(r.dragOptions),kHt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&LHt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&WF.click(n,l.originalEvent)}}};Ah.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=YK.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),MHt(a)||SHt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){EHt(l,u,c,t.dragOptions,a)},AHt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Ah.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Ah.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(PHt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Ah.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Ah.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Ah.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Ah.getMapLayers=function(){return this.map.getStyle().layers};Ah.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}YK.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Ah.project=function(e){return this.map.project(new XK.LngLat(e[0],e[1]))};Ah.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Ah.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Ah.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function KUe(e,t){var r={};if(YK.isPlainObject(e))r.id=e.id,r.style=e;else if(typeof e==\"string\")if(r.id=e,yx.styleValuesMapbox.indexOf(e)!==-1)r.style=WUe(e);else if(yx.stylesNonMapbox[e]){r.style=yx.stylesNonMapbox[e];var n=r.style.sources[\"plotly-\"+e],i=n?n.tiles:void 0;i&&i[0]&&i[0].slice(-9)===\"?api_key=\"&&(i[0]+=t._mapboxAccessToken)}else r.style=e;else r.id=yx.styleValueDflt,r.style=WUe(yx.styleValueDflt);return r.transition={duration:0,delay:0},r}function WUe(e){return yx.styleUrlPrefix+e+\"-\"+yx.styleUrlSuffix}function KK(e){return[e.lon,e.lat]}JUe.exports=YUe});var tVe=ye((Eyr,eVe)=>{\"use strict\";var JK=Mr(),IHt=k_(),RHt=Zd(),QUe=Pk();eVe.exports=function(t,r,n){IHt(t,r,n,{type:\"mapbox\",attributes:QUe,handleDefaults:DHt,partition:\"y\",accessToken:r._mapboxAccessToken})};function DHt(e,t,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var i=r(\"bounds.west\"),a=r(\"bounds.east\"),o=r(\"bounds.south\"),s=r(\"bounds.north\");(i===void 0||a===void 0||o===void 0||s===void 0)&&delete t.bounds,RHt(e,t,{name:\"layers\",handleItemDefaults:zHt}),t._input=e}function zHt(e,t){function r(l,u){return JK.coerce(e,t,QUe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",JK.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),JK.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var ZF=ye(Np=>{\"use strict\";var rVe=ZK(),tm=Mr(),$K=tm.strTranslate,FHt=tm.strScale,qHt=kd().getSubplotCalcData,OHt=Zp(),BHt=xa(),iVe=ao(),NHt=Ll(),UHt=$Ue(),_x=\"mapbox\",Qm=Np.constants=c1();Np.name=_x;Np.attr=\"subplot\";Np.idRoot=_x;Np.idRegex=Np.attrRegex=tm.counterRegex(_x);var VHt=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");Np.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}};Np.layoutAttributes=Pk();Np.supplyLayoutDefaults=tVe();var nVe=!0;Np.plot=function(t){nVe&&(nVe=!1,tm.warn(VHt));var r=t._fullLayout,n=t.calcdata,i=r._subplots[_x];if(rVe.version!==Qm.requiredVersion)throw new 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h=t._glimages.append(\"g\");h.attr(\"transform\",$K(n.l+n.w*o.x[0]+10,n.t+n.h*(1-o.y[0])-31)),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"polygon\").attr(\"points\",Qm.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var d=c.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=t._glimages.append(\"g\"),x=v.append(\"text\");x.text(d).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":d});var b=iVe.bBox(x.node()),g=n.w*(o.x[1]-o.x[0]);if(b.width>g/2){var E=d.split(\"|\").join(\"<br>\");x.text(E).attr(\"data-unformatted\",E).call(NHt.convertToTspans,e),b=iVe.bBox(x.node())}x.attr(\"transform\",$K(-3,-b.height+8)),v.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var k=1;b.width+6>g&&(k=g/(b.width+6));var A=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];v.attr(\"transform\",$K(A[0],A[1])+FHt(k))}};function HHt(e,t){var r=e._fullLayout,n=e._context;if(n.mapboxAccessToken===\"\")return\"\";for(var i=[],a=[],o=!1,s=!1,l=0;l<t.length;l++){var u=r[t[l]],c=u.accesstoken;aVe(u.style)&&(c?tm.pushUnique(i,c):(aVe(u._input.style)&&(tm.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),c&&tm.pushUnique(a,c)}if(s){var f=o?Qm.noAccessTokenErrorMsg:Qm.missingStyleErrorMsg;throw tm.error(f),new Error(f)}return i.length?(i.length>1&&tm.warn(Qm.multipleTokensErrorMsg),i[0]):(a.length&&tm.log([\"Listed mapbox access 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r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:ZF(),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var uVe=ye((Pyr,lVe)=>{\"use strict\";lVe.exports=sVe()});var QK=ye((Iyr,cVe)=>{\"use strict\";var f1=J5(),GHt=Kl(),jHt=Wo().hovertemplateAttrs,WHt=vl(),xx=no().extendFlat;cVe.exports=xx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:xx({},f1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:f1.text,hovertext:f1.hovertext,marker:{line:{color:xx({},f1.marker.line.color,{editType:\"plot\"}),width:xx({},f1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:xx({},f1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:xx({},f1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:xx({},f1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:f1.hoverinfo,hovertemplate:jHt({},{keys:[\"properties\"]}),showlegend:xx({},WHt.showlegend,{dflt:!1})},GHt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var hVe=ye((Ryr,fVe)=>{\"use 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s=KHt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;h1.isArrayOrTypedArray(l.opacity)&&(c=function(E){var k=E.mo;return YHt(k)?+h1.constrain(k,0,1):0});var f;h1.isArrayOrTypedArray(u.color)&&(f=function(E){return E.mlc});var h;h1.isArrayOrTypedArray(u.width)&&(h=function(E){return E.mlw});for(var d=0;d<e.length;d++){var v=e[d],x=v.fOut;if(x){var b=x.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=dVe.feature2polygons(x)}}var g=c?{type:\"identity\",property:\"mo\"}:l.opacity;return h1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":g}),h1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":g}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},vVe(e),a}function vVe(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=JHt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=h1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return h1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),h1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}pVe.exports={convert:QHt,convertOnSelect:vVe}});var xVe=ye((zyr,_Ve)=>{\"use strict\";var mVe=eJ().convert,eGt=eJ().convertOnSelect,gVe=c1().traceLayerPrefix;function yVe(e,t){this.type=\"choroplethmapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",gVe+t+\"-fill\"],[\"line\",gVe+t+\"-line\"]],this.below=null}var TA=yVe.prototype;TA.update=function(e){this._update(mVe(e)),e[0].trace._glTrace=this};TA.updateOnSelect=function(e){this._update(eGt(e))};TA._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};TA._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};TA._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};TA.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};_Ve.exports=function(t,r){var n=r[0].trace,i=new yVe(t,n.uid),a=i.sourceId,o=mVe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var wVe=ye((qyr,bVe)=>{\"use strict\";var Fyr=[\"*choroplethmapbox* trace is deprecated!\",\"Please consider switching to the *choroplethmap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");bVe.exports={attributes:QK(),supplyDefaults:hVe(),colorbar:S_(),calc:Lz(),plot:xVe(),hoverPoints:Iz(),eventData:Rz(),selectPoints:Dz(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmapbox\",basePlotModule:ZF(),categories:[\"mapbox\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_mapbox\"}}});var AVe=ye((Oyr,TVe)=>{\"use strict\";TVe.exports=wVe()});var rJ=ye((Byr,MVe)=>{\"use strict\";var tGt=Kl(),rGt=Wo().hovertemplateAttrs,SVe=vl(),XF=BF(),tJ=no().extendFlat;MVe.exports=tJ({lon:XF.lon,lat:XF.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:XF.text,hovertext:XF.hovertext,hoverinfo:tJ({},SVe.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:rGt(),showlegend:tJ({},SVe.showlegend,{dflt:!1})},tGt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var kVe=ye((Nyr,EVe)=>{\"use strict\";var iGt=Mr(),nGt=Uh(),aGt=rJ();EVe.exports=function(t,r,n,i){function a(u,c){return iGt.coerce(t,r,aGt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),nGt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var PVe=ye((Uyr,LVe)=>{\"use strict\";var iJ=uo(),oGt=Mr().isArrayOrTypedArray,nJ=es().BADNUM,sGt=zv(),CVe=Mr()._;LVe.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=oGt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=iJ(u)&&iJ(c)?[+u,+c]:[nJ,nJ],o){var f=a[s];l.z=iJ(f)?f:nJ}}return sGt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:CVe(t,\"lat:\")+\" \",lon:CVe(t,\"lon:\")+\" \"}}),i}});var FVe=ye((Vyr,zVe)=>{\"use strict\";var lGt=uo(),aJ=Mr(),IVe=va(),RVe=Mu(),DVe=es().BADNUM,uGt=tx().makeBlank;zVe.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:uGt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=aJ.isArrayOrTypedArray(l)&&l.length,f=aJ.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==DVe){var v={};if(c){var x=h.z;v.z=x!==DVe?x:0}f&&(v.r=lGt(u[s])&&u[s]>0?+u[s]:0),o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:d},properties:v})}}var b=RVe.extractOpts(r),g=b.reversescale?RVe.flipScale(b.colorscale):b.colorscale,E=g[0][1],k=IVe.opacity(E)<1?E:IVe.addOpacity(E,0),A=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,k];for(s=1;s<g.length;s++)A.push(g[s][0],g[s][1]);var L=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return aJ.extendFlat(a.heatmap.paint,{\"heatmap-weight\":c?L:1/(b.max-b.min),\"heatmap-color\":A,\"heatmap-radius\":f?{type:\"identity\",property:\"r\"}:r.radius,\"heatmap-opacity\":r.opacity}),a.geojson={type:\"FeatureCollection\",features:o},a.heatmap.layout.visibility=\"visible\",a}});var NVe=ye((Hyr,BVe)=>{\"use strict\";var qVe=FVe(),cGt=c1().traceLayerPrefix;function OVe(e,t){this.type=\"densitymapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",cGt+t+\"-heatmap\"]],this.below=null}var YF=OVe.prototype;YF.update=function(e){var t=this.subplot,r=this.layerList,n=qVe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};YF._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};YF._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};YF.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};BVe.exports=function(t,r){var n=r[0].trace,i=new OVe(t,n.uid),a=i.sourceId,o=qVe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),i}});var VVe=ye((Gyr,UVe)=>{\"use strict\";var fGt=Qa(),hGt=GF().hoverPoints,dGt=GF().getExtraText;UVe.exports=function(t,r,n){var i=hGt(t,r,n);if(i){var a=i[0],o=a.cd,s=o[0].trace,l=o[a.index];if(delete a.color,\"z\"in l){var u=a.subplot.mockAxis;a.z=l.z,a.zLabel=fGt.tickText(u,u.c2l(l.z),\"hover\").text}return a.extraText=dGt(s,l,o[0].t.labels),[a]}}});var GVe=ye((jyr,HVe)=>{\"use strict\";HVe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t.z=r.z,t}});var WVe=ye((Zyr,jVe)=>{\"use strict\";var Wyr=[\"*densitymapbox* trace is deprecated!\",\"Please consider switching to the *densitymap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");jVe.exports={attributes:rJ(),supplyDefaults:kVe(),colorbar:S_(),formatLabels:NK(),calc:PVe(),plot:NVe(),hoverPoints:VVe(),eventData:GVe(),getBelow:function(e,t){for(var r=t.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if(i.type===\"symbol\"&&typeof a==\"string\"&&a.indexOf(\"plotly-\")===-1)return a}},moduleType:\"trace\",name:\"densitymapbox\",basePlotModule:ZF(),categories:[\"mapbox\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_mapbox\"}}});var XVe=ye((Xyr,ZVe)=>{\"use strict\";ZVe.exports=WVe()});var 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1)\"}},{id:\"highway-shield-us-other\",type:\"symbol\",source:\"openmaptiles\",\"source-layer\":\"transportation_name\",minzoom:9,filter:[\"all\",[\"<=\",\"ref_length\",6],[\"==\",\"$type\",\"LineString\"],[\"in\",\"network\",\"us-highway\",\"us-state\"]],layout:{\"text-size\":10,\"icon-image\":\"{network}_{ref_length}\",\"icon-rotation-alignment\":\"viewport\",\"symbol-spacing\":200,\"text-font\":[\"Noto Sans Regular\"],\"symbol-placement\":{base:1,stops:[[10,\"point\"],[11,\"line\"]]},\"text-rotation-alignment\":\"viewport\",\"icon-size\":1,\"text-field\":\"{ref}\"},paint:{\"text-color\":\"rgba(0, 0, 0, 1)\"}},{id:\"place-other\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",minzoom:12,filter:[\"!in\",\"class\",\"city\",\"town\",\"village\",\"country\",\"continent\"],layout:{\"text-letter-spacing\":.1,\"text-size\":{base:1.2,stops:[[12,10],[15,14]]},\"text-font\":[\"Noto Sans Bold\"],\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-transform\":\"uppercase\",\"text-max-width\":9,visibility:\"visible\"},paint:{\"text-color\":\"rgba(255,255,255,1)\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(57, 28, 28, 1)\"}},{id:\"place-village\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",minzoom:10,filter:[\"==\",\"class\",\"village\"],layout:{\"text-font\":[\"Noto Sans Regular\"],\"text-size\":{base:1.2,stops:[[10,12],[15,16]]},\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-max-width\":8,visibility:\"visible\"},paint:{\"text-color\":\"rgba(255, 255, 255, 1)\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(10, 9, 9, 0.8)\"}},{id:\"place-town\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"==\",\"class\",\"town\"],layout:{\"text-font\":[\"Noto Sans Regular\"],\"text-size\":{base:1.2,stops:[[10,14],[15,24]]},\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-max-width\":8,visibility:\"visible\"},paint:{\"text-color\":\"rgba(255, 255, 255, 1)\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(22, 22, 22, 0.8)\"}},{id:\"place-city\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"!=\",\"capital\",2],[\"==\",\"class\",\"city\"]],layout:{\"text-font\":[\"Noto Sans Regular\"],\"text-size\":{base:1.2,stops:[[7,14],[11,24]]},\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-max-width\":8,visibility:\"visible\"},paint:{\"text-color\":\"rgba(0, 0, 0, 1)\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-city-capital\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"capital\",2],[\"==\",\"class\",\"city\"]],layout:{\"text-font\":[\"Noto Sans Regular\"],\"text-size\":{base:1.2,stops:[[7,14],[11,24]]},\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-max-width\":8,\"icon-image\":\"star_11\",\"text-offset\":[.4,0],\"icon-size\":.8,\"text-anchor\":\"left\",visibility:\"visible\"},paint:{\"text-color\":\"#333\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-country-other\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"class\",\"country\"],[\">=\",\"rank\",3],[\"!has\",\"iso_a2\"]],layout:{\"text-font\":[\"Noto Sans Italic\"],\"text-field\":\"{name:latin}\",\"text-size\":{stops:[[3,11],[7,17]]},\"text-transform\":\"uppercase\",\"text-max-width\":6.25,visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-country-3\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"class\",\"country\"],[\">=\",\"rank\",3],[\"has\",\"iso_a2\"]],layout:{\"text-font\":[\"Noto Sans Bold\"],\"text-field\":\"{name:latin}\",\"text-size\":{stops:[[3,11],[7,17]]},\"text-transform\":\"uppercase\",\"text-max-width\":6.25,visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-country-2\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"class\",\"country\"],[\"==\",\"rank\",2],[\"has\",\"iso_a2\"]],layout:{\"text-font\":[\"Noto Sans Bold\"],\"text-field\":\"{name:latin}\",\"text-size\":{stops:[[2,11],[5,17]]},\"text-transform\":\"uppercase\",\"text-max-width\":6.25,visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-country-1\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"class\",\"country\"],[\"==\",\"rank\",1],[\"has\",\"iso_a2\"]],layout:{\"text-font\":[\"Noto Sans Bold\"],\"text-field\":\"{name:latin}\",\"text-size\":{stops:[[1,11],[4,17]]},\"text-transform\":\"uppercase\",\"text-max-width\":6.25,visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-continent\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",maxzoom:1,filter:[\"==\",\"class\",\"continent\"],layout:{\"text-font\":[\"Noto Sans Bold\"],\"text-field\":\"{name:latin}\",\"text-size\":14,\"text-max-width\":6.25,\"text-transform\":\"uppercase\",visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}}],id:\"qebnlkra6\"}});var $Ve=ye((Kyr,JVe)=>{JVe.exports={version:8,name:\"orto\",metadata:{},center:[1.537786,41.837539],zoom:12,bearing:0,pitch:0,light:{anchor:\"viewport\",color:\"white\",intensity:.4,position:[1.15,45,30]},sources:{ortoEsri:{type:\"raster\",tiles:[\"https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}\"],tileSize:256,maxzoom:18,attribution:\"ESRI &copy; <a href='http://www.esri.com'>ESRI</a>\"},ortoInstaMaps:{type:\"raster\",tiles:[\"https://tilemaps.icgc.cat/mapfactory/wmts/orto_8_12/CAT3857/{z}/{x}/{y}.png\"],tileSize:256,maxzoom:13},ortoICGC:{type:\"raster\",tiles:[\"https://geoserveis.icgc.cat/icc_mapesmultibase/noutm/wmts/orto/GRID3857/{z}/{x}/{y}.jpeg\"],tileSize:256,minzoom:13.1,maxzoom:20},openmaptiles:{type:\"vector\",url:\"https://geoserveis.icgc.cat/contextmaps/basemap.json\"}},sprite:\"https://geoserveis.icgc.cat/contextmaps/sprites/sprite@1\",glyphs:\"https://geoserveis.icgc.cat/contextmaps/glyphs/{fontstack}/{range}.pbf\",layers:[{id:\"background\",type:\"background\",paint:{\"background-color\":\"#F4F9F4\"}},{id:\"ortoEsri\",type:\"raster\",source:\"ortoEsri\",maxzoom:16,layout:{visibility:\"visible\"}},{id:\"ortoICGC\",type:\"raster\",source:\"ortoICGC\",minzoom:13.1,maxzoom:19,layout:{visibility:\"visible\"}},{id:\"ortoInstaMaps\",type:\"raster\",source:\"ortoInstaMaps\",maxzoom:13,layout:{visibility:\"visible\"}}]}});var bx=ye((Jyr,iHe)=>{\"use strict\";var vGt=X1(),pGt=KVe(),gGt=$Ve(),mGt='\\xA9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',QVe=\"https://basemaps.cartocdn.com/gl/positron-gl-style/style.json\",eHe=\"https://basemaps.cartocdn.com/gl/dark-matter-gl-style/style.json\",KF=\"https://basemaps.cartocdn.com/gl/voyager-gl-style/style.json\",yGt=\"https://basemaps.cartocdn.com/gl/positron-nolabels-gl-style/style.json\",_Gt=\"https://basemaps.cartocdn.com/gl/dark-matter-nolabels-gl-style/style.json\",xGt=\"https://basemaps.cartocdn.com/gl/voyager-nolabels-gl-style/style.json\",rHe={basic:KF,streets:KF,outdoors:KF,light:QVe,dark:eHe,satellite:gGt,\"satellite-streets\":pGt,\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:mGt,tiles:[\"https://tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"carto-positron\":QVe,\"carto-darkmatter\":eHe,\"carto-voyager\":KF,\"carto-positron-nolabels\":yGt,\"carto-darkmatter-nolabels\":_Gt,\"carto-voyager-nolabels\":xGt},tHe=vGt(rHe);iHe.exports={styleValueDflt:\"basic\",stylesMap:rHe,styleValuesMap:tHe,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",missingStyleErrorMsg:[\"No valid maplibre style found, please set `map.style` to one of:\",tHe.join(\", \"),\"or use a tile service.\"].join(`\n",
+       "`),mapOnErrorMsg:\"Map error.\"}});var Fk=ye(($yr,lHe)=>{\"use strict\";var nHe=Mr(),aHe=va().defaultLine,bGt=Ju().attributes,wGt=Su(),TGt=Uc().textposition,AGt=Bu().overrideAll,SGt=Vs().templatedArray,oHe=bx(),sHe=wGt({noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0});sHe.family.dflt=\"Open Sans Regular, Arial Unicode MS Regular\";var MGt=lHe.exports=AGt({_arrayAttrRegexps:[nHe.counterRegex(\"map\",\".layers\",!0)],domain:bGt({name:\"map\"}),style:{valType:\"any\",values:oHe.styleValuesMap,dflt:oHe.styleValueDflt},center:{lon:{valType:\"number\",dflt:0},lat:{valType:\"number\",dflt:0}},zoom:{valType:\"number\",dflt:1},bearing:{valType:\"number\",dflt:0},pitch:{valType:\"number\",dflt:0},bounds:{west:{valType:\"number\"},east:{valType:\"number\"},south:{valType:\"number\"},north:{valType:\"number\"}},layers:SGt(\"layer\",{visible:{valType:\"boolean\",dflt:!0},sourcetype:{valType:\"enumerated\",values:[\"geojson\",\"vector\",\"raster\",\"image\"],dflt:\"geojson\"},source:{valType:\"any\"},sourcelayer:{valType:\"string\",dflt:\"\"},sourceattribution:{valType:\"string\"},type:{valType:\"enumerated\",values:[\"circle\",\"line\",\"fill\",\"symbol\",\"raster\"],dflt:\"circle\"},coordinates:{valType:\"any\"},below:{valType:\"string\"},color:{valType:\"color\",dflt:aHe},opacity:{valType:\"number\",min:0,max:1,dflt:1},minzoom:{valType:\"number\",min:0,max:24,dflt:0},maxzoom:{valType:\"number\",min:0,max:24,dflt:24},circle:{radius:{valType:\"number\",dflt:15}},line:{width:{valType:\"number\",dflt:2},dash:{valType:\"data_array\"}},fill:{outlinecolor:{valType:\"color\",dflt:aHe}},symbol:{icon:{valType:\"string\",dflt:\"marker\"},iconsize:{valType:\"number\",dflt:10},text:{valType:\"string\",dflt:\"\"},placement:{valType:\"enumerated\",values:[\"point\",\"line\",\"line-center\"],dflt:\"point\"},textfont:sHe,textposition:nHe.extendFlat({},TGt,{arrayOk:!1})}})},\"plot\",\"from-root\");MGt.uirevision={valType:\"any\",editType:\"none\"}});var JF=ye((Qyr,fHe)=>{\"use strict\";var EGt=Wo().hovertemplateAttrs,kGt=Wo().texttemplateAttrs,CGt=Eg(),qk=H2(),AA=Uc(),uHe=Fk(),LGt=vl(),PGt=Kl(),rw=no().extendFlat,IGt=Bu().overrideAll,RGt=Fk(),cHe=qk.line,SA=qk.marker;fHe.exports=IGt({lon:qk.lon,lat:qk.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:rw({},RGt.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:rw({},SA.opacity,{dflt:1})},mode:rw({},AA.mode,{dflt:\"markers\"}),text:rw({},AA.text,{}),texttemplate:kGt({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:rw({},AA.hovertext,{}),line:{color:cHe.color,width:cHe.width},connectgaps:AA.connectgaps,marker:rw({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:SA.opacity,size:SA.size,sizeref:SA.sizeref,sizemin:SA.sizemin,sizemode:SA.sizemode},PGt(\"marker\")),fill:qk.fill,fillcolor:CGt(),textfont:uHe.layers.symbol.textfont,textposition:uHe.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:AA.selected.marker},unselected:{marker:AA.unselected.marker},hoverinfo:rw({},LGt.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:EGt()},\"calc\",\"nested\")});var oJ=ye((e1r,hHe)=>{\"use strict\";var DGt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];hHe.exports={isSupportedFont:function(e){return DGt.indexOf(e)!==-1}}});var pHe=ye((t1r,vHe)=>{\"use strict\";var Ok=Mr(),sJ=lu(),zGt=$p(),FGt=R0(),qGt=D0(),OGt=Ig(),dHe=JF(),BGt=oJ().isSupportedFont;vHe.exports=function(t,r,n,i){function a(g,E){return Ok.coerce(t,r,dHe,g,E)}function o(g,E){return Ok.coerce2(t,r,dHe,g,E)}var s=NGt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),a(\"below\"),sJ.hasMarkers(r)){zGt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Ok.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Ok.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}sJ.hasLines(r)&&(FGt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,x=a(\"cluster.enabled\",v);if(x||sJ.hasText(r)){var b=i.font.family;qGt(t,r,i,a,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:BGt(b)?b:\"Open Sans Regular\",weight:i.font.weight,style:i.font.style,size:i.font.size,color:i.font.color}})}a(\"fill\"),r.fill!==\"none\"&&OGt(t,r,n,a),Ok.coerceSelectionMarkerOpacity(r,a)};function NGt(e,t,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return t._length=a,a}});var lJ=ye((r1r,mHe)=>{\"use strict\";var gHe=Qa();mHe.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot,o=a.mockAxis,s=t.lonlat;return i.lonLabel=gHe.tickText(o,o.c2l(s[0]),!0).text,i.latLabel=gHe.tickText(o,o.c2l(s[1]),!0).text,i}});var uJ=ye((i1r,_He)=>{\"use strict\";var yHe=Mr();_He.exports=function(t,r){var n=t.split(\" 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g;if((a||o)&&(g=QF.calcTraceToLineCoords(r)),a&&(h.geojson=QF.makePolygon(g),h.layout.visibility=\"visible\",nv.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=QF.makeLine(g),d.layout.visibility=\"visible\",nv.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var E=YGt(r);v.geojson=E.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":fJ(n.cluster.color,n.cluster.step),\"circle-radius\":fJ(n.cluster.size,n.cluster.step),\"circle-opacity\":fJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":bHe(n),\"text-size\":12}}),nv.extendFlat(v.paint,{\"circle-color\":E.mcc,\"circle-radius\":E.mrc,\"circle-opacity\":E.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(x.geojson=KGt(r,t),nv.extendFlat(x.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(nv.extendFlat(x.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in n.marker&&n.marker.angle!==\"auto\"&&nv.extendFlat(x.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),x.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,nv.extendFlat(x.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var k=(n.marker||{}).size,A=jGt(n.textposition,k);nv.extendFlat(x.layout,{\"text-size\":n.textfont.size,\"text-anchor\":A.anchor,\"text-offset\":A.offset,\"text-font\":bHe(n)}),nv.extendFlat(x.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function $F(e){return{type:e,geojson:QF.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function YGt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=nv.isArrayOrTypedArray(r.color),a=nv.isArrayOrTypedArray(r.size),o=nv.isArrayOrTypedArray(r.opacity),s;function l(k){return t.opacity*k}function u(k){return k/2}var c;i&&(xHe.hasColorscale(t,\"marker\")?c=xHe.makeColorScaleFuncFromTrace(r):c=nv.identity);var f;a&&(f=HGt(t));var h;o&&(h=function(k){var A=wHe(k)?+nv.constrain(k,0,1):0;return l(A)});var d=[];for(s=0;s<e.length;s++){var v=e[s],x=v.lonlat;if(!THe(x)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:x},properties:b})}}var g;if(n)for(g=VGt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var E=d[s].properties;g.selectedOpacityFn&&(E.mo=l(g.selectedOpacityFn(E))),g.selectedColorFn&&(E.mcc=g.selectedColorFn(E)),g.selectedSizeFn&&(E.mrc=g.selectedSizeFn(E))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||g&&g.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||g&&g.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||g&&g.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function KGt(e,t){for(var r=t._fullLayout,n=e[0].trace,i=n.marker||{},a=i.symbol,o=i.angle,s=a!==\"circle\"?cJ(a):t7,l=o!==\"auto\"?cJ(o,!0):t7,u=e7.hasText(n)?cJ(n.text):t7,c=[],f=0;f<e.length;f++){var h=e[f];if(!THe(h.lonlat)){var d=n.texttemplate,v;if(d){var x=Array.isArray(d)?d[f]||\"\":d,b=n._module.formatLabels(h,n,r),g={};WGt(g,n,h.i);var E=n._meta||{};v=nv.texttemplateString(x,b,r._d3locale,g,h,E)}else v=u(f);v&&(v=v.replace(ZGt,\"\").replace(XGt,`\n",
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EHe(e,t,r,n){this.type=\"scattermap\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:MA+t+\"-fill\",line:MA+t+\"-line\",circle:MA+t+\"-circle\",symbol:MA+t+\"-symbol\",cluster:MA+t+\"-cluster\",clusterCount:MA+t+\"-cluster-count\"},this.below=null}var Bk=EHe.prototype;Bk.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&JGt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};Bk.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};Bk.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};Bk.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=MHe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(k){k||u.addSource(\"circle\",a.circle,r.cluster);for(var A=ng.cluster,L=0;L<A.length;L++){var _=A[L],C=a[_];u.addLayer(_,C,o)}}function f(k){for(var A=ng.cluster,L=A.length-1;L>=0;L--){var _=A[L];i.removeLayer(u.layerIds[_])}k||i.removeSource(u.sourceIds.circle)}function h(k){for(var A=ng.nonCluster,L=0;L<A.length;L++){var _=A[L],C=a[_];k||u.addSource(_,C),u.addLayer(_,C,o)}}function d(k){for(var 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Math.max(Math.sqrt(q*q+V*V)-H,1-3/H)}if($Gt.getClosest(n,x,e),e.index!==!1){var b=n[e.index],g=b.lonlat,E=[hJ.modHalf(g[0],360)+d,g[1]],k=a.c2p(E),A=o.c2p(E),L=b.mrc||1;e.x0=k-L,e.x1=k+L,e.y0=A-L,e.y1=A+L;var _={};_[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,_);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=QGt(i,b),e.extraText=LHe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function LHe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&ejt(t,e,u),u.join(\"<br>\")}PHe.exports={hoverPoints:ijt,getExtraText:LHe}});var RHe=ye((s1r,IHe)=>{\"use strict\";IHe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var zHe=ye((l1r,DHe)=>{\"use strict\";var njt=Mr(),ajt=lu(),ojt=es().BADNUM;DHe.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l;if(!ajt.hasMarkers(s))return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++){var u=n[l],c=u.lonlat;if(c[0]!==ojt){var f=[njt.modHalf(c[0],360),c[1]],h=[i.c2p(f),a.c2p(f)];r.contains(h,null,l,t)?(o.push({pointNumber:l,lon:c[0],lat:c[1]}),u.selected=1):u.selected=0}}return o}});var qHe=ye((dJ,vJ)=>{(function(e,t){typeof dJ==\"object\"&&typeof vJ!=\"undefined\"?vJ.exports=t():typeof define==\"function\"&&define.amd?define(t):(e=typeof globalThis!=\"undefined\"?globalThis:e||self,e.maplibregl=t())})(dJ,function(){\"use strict\";var e={},t={};function r(i,a,o){if(t[i]=o,i===\"index\"){var s=\"var sharedModule = {}; (\"+t.shared+\")(sharedModule); (\"+t.worker+\")(sharedModule);\",l={};return t.shared(l),t.index(e,l),typeof window!=\"undefined\"&&e.setWorkerUrl(window.URL.createObjectURL(new 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j=D.parse(S[1],1,fr),te=D.parse(S[2],2,fr);if(!j||!te)return null;if(!ht(j.type,[dt,Et,St,Lt,fr]))return D.error(`Expected first argument to be of type boolean, string, number or null, but found ${Ye(j.type)} instead`);if(S.length===4){let ue=D.parse(S[3],3,St);return ue?new ti(j,te,ue):null}return new ti(j,te)}evaluate(S){let D=this.needle.evaluate(S),j=this.haystack.evaluate(S);if(!Le(D,[\"boolean\",\"string\",\"number\",\"null\"]))throw new la(`Expected first argument to be of type boolean, string, number or null, but found ${Ye(Ki(D))} instead.`);let te;if(this.fromIndex&&(te=this.fromIndex.evaluate(S)),Le(j,[\"string\"])){let ue=j.indexOf(D,te);return ue===-1?-1:[...j.slice(0,ue)].length}if(Le(j,[\"array\"]))return j.indexOf(D,te);throw new la(`Expected second argument to be of type array or string, but found ${Ye(Ki(j))} instead.`)}eachChild(S){S(this.needle),S(this.haystack),this.fromIndex&&S(this.fromIndex)}outputDefined(){return!1}}class zi{constructor(S,D,j,te,ue,ve){this.inputType=S,this.type=D,this.input=j,this.cases=te,this.outputs=ue,this.otherwise=ve}static parse(S,D){if(S.length<5)return D.error(`Expected at least 4 arguments, but found only ${S.length-1}.`);if(S.length%2!=1)return D.error(\"Expected an even number of arguments.\");let j,te;D.expectedType&&D.expectedType.kind!==\"value\"&&(te=D.expectedType);let ue={},ve=[];for(let at=2;at<S.length-1;at+=2){let Tt=S[at],Ft=S[at+1];Array.isArray(Tt)||(Tt=[Tt]);let Qt=D.concat(at);if(Tt.length===0)return Qt.error(\"Expected at least one branch label.\");for(let Tr of Tt){if(typeof Tr!=\"number\"&&typeof Tr!=\"string\")return Qt.error(\"Branch labels must be numbers or strings.\");if(typeof Tr==\"number\"&&Math.abs(Tr)>Number.MAX_SAFE_INTEGER)return Qt.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(typeof Tr==\"number\"&&Math.floor(Tr)!==Tr)return Qt.error(\"Numeric branch labels must be integer 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j;D.expectedType&&D.expectedType.kind!==\"value\"&&(j=D.expectedType);let te=[];for(let ve=1;ve<S.length-1;ve+=2){let De=D.parse(S[ve],ve,dt);if(!De)return null;let Ze=D.parse(S[ve+1],ve+1,j);if(!Ze)return null;te.push([De,Ze]),j=j||Ze.type}let ue=D.parse(S[S.length-1],S.length-1,j);if(!ue)return null;if(!j)throw new Error(\"Can't infer output type\");return new Yi(j,te,ue)}evaluate(S){for(let[D,j]of this.branches)if(D.evaluate(S))return j.evaluate(S);return this.otherwise.evaluate(S)}eachChild(S){for(let[D,j]of this.branches)S(D),S(j);S(this.otherwise)}outputDefined(){return this.branches.every(([S,D])=>D.outputDefined())&&this.otherwise.outputDefined()}}class an{constructor(S,D,j,te){this.type=S,this.input=D,this.beginIndex=j,this.endIndex=te}static parse(S,D){if(S.length<=2||S.length>=5)return D.error(`Expected 3 or 4 arguments, but found ${S.length-1} instead.`);let j=D.parse(S[1],1,fr),te=D.parse(S[2],2,St);if(!j||!te)return null;if(!ht(j.type,[Ne(fr),Et,fr]))return D.error(`Expected first argument to be of type array or string, but found ${Ye(j.type)} instead`);if(S.length===4){let ue=D.parse(S[3],3,St);return ue?new an(j.type,j,te,ue):null}return new an(j.type,j,te)}evaluate(S){let D=this.input.evaluate(S),j=this.beginIndex.evaluate(S),te;if(this.endIndex&&(te=this.endIndex.evaluate(S)),Le(D,[\"string\"]))return[...D].slice(j,te).join(\"\");if(Le(D,[\"array\"]))return D.slice(j,te);throw new la(`Expected first argument to be of type array or string, but found ${Ye(Ki(D))} instead.`)}eachChild(S){S(this.input),S(this.beginIndex),this.endIndex&&S(this.endIndex)}outputDefined(){return!1}}function hi(R,S){let D=R.length-1,j,te,ue=0,ve=D,De=0;for(;ue<=ve;)if(De=Math.floor((ue+ve)/2),j=R[De],te=R[De+1],j<=S){if(De===D||S<te)return De;ue=De+1}else{if(!(j>S))throw new la(\"Input is not a number.\");ve=De-1}return 0}class Ji{constructor(S,D,j){this.type=S,this.input=D,this.labels=[],this.outputs=[];for(let[te,ue]of j)this.labels.push(te),this.outputs.push(ue)}static parse(S,D){if(S.length-1<4)return D.error(`Expected at least 4 arguments, but found only ${S.length-1}.`);if((S.length-1)%2!=0)return D.error(\"Expected an even number of arguments.\");let j=D.parse(S[1],1,St);if(!j)return null;let te=[],ue=null;D.expectedType&&D.expectedType.kind!==\"value\"&&(ue=D.expectedType);for(let ve=1;ve<S.length;ve+=2){let De=ve===1?-1/0:S[ve],Ze=S[ve+1],at=ve,Tt=ve+1;if(typeof De!=\"number\")return D.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',at);if(te.length&&te[te.length-1][0]>=De)return D.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',at);let Ft=D.parse(Ze,Tt,ue);if(!Ft)return null;ue=ue||Ft.type,te.push([De,Ft])}return new Ji(ue,j,te)}evaluate(S){let D=this.labels,j=this.outputs;if(D.length===1)return j[0].evaluate(S);let 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this._warningHistory[De.message]||(this._warningHistory[De.message]=!0,typeof console!=\"undefined\"&&console.warn(De.message)),this._defaultValue}}}function Lc(R){return Array.isArray(R)&&R.length>0&&typeof R[0]==\"string\"&&R[0]in kf}function fl(R,S){let D=new oo(kf,kh,[],S?function(te){let ue={color:Ht,string:Et,number:St,enum:Et,boolean:dt,formatted:Br,padding:Or,resolvedImage:Nr,variableAnchorOffsetCollection:ut};return te.type===\"array\"?Ne(ue[te.value]||fr,te.length):ue[te.type]}(S):void 0),j=D.parse(R,void 0,void 0,void 0,S&&S.type===\"string\"?{typeAnnotation:\"coerce\"}:void 0);return j?Wc(new Pu(j,S)):df(D.errors)}class Xc{constructor(S,D){this.kind=S,this._styleExpression=D,this.isStateDependent=S!==\"constant\"&&!rc(D.expression)}evaluateWithoutErrorHandling(S,D,j,te,ue,ve){return this._styleExpression.evaluateWithoutErrorHandling(S,D,j,te,ue,ve)}evaluate(S,D,j,te,ue,ve){return this._styleExpression.evaluate(S,D,j,te,ue,ve)}}class 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S=R.valueSpec,D=Fs(R.value.type),j,te,ue,ve={},De=D!==\"categorical\"&&R.value.property===void 0,Ze=!De,at=ds(R.value.stops)===\"array\"&&ds(R.value.stops[0])===\"array\"&&ds(R.value.stops[0][0])===\"object\",Tt=xu({key:R.key,value:R.value,valueSpec:R.styleSpec.function,validateSpec:R.validateSpec,style:R.style,styleSpec:R.styleSpec,objectElementValidators:{stops:function(sr){if(D===\"identity\")return[new er(sr.key,sr.value,'identity function may not have a \"stops\" property')];let Tr=[],Pr=sr.value;return Tr=Tr.concat(Lh({key:sr.key,value:Pr,valueSpec:sr.valueSpec,validateSpec:sr.validateSpec,style:sr.style,styleSpec:sr.styleSpec,arrayElementValidator:Ft})),ds(Pr)===\"array\"&&Pr.length===0&&Tr.push(new er(sr.key,Pr,\"array must have at least one stop\")),Tr},default:function(sr){return sr.validateSpec({key:sr.key,value:sr.value,valueSpec:S,validateSpec:sr.validateSpec,style:sr.style,styleSpec:sr.styleSpec})}}});return D===\"identity\"&&De&&Tt.push(new er(R.key,R.value,'missing 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D=S.value.expression||S.value._styleExpression.expression;if(R.expressionContext===\"property\"&&R.propertyKey===\"text-font\"&&!D.outputDefined())return[new er(R.key,R.value,`Invalid data expression for \"${R.propertyKey}\". 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+       "Use an identity property function instead: \\`{ \"type\": \"identity\", \"property\": ${JSON.stringify(Ft[1])} }\\`.`)];let Qt=[];return R.layerType===\"symbol\"&&(De===\"text-field\"&&te&&!te.glyphs&&Qt.push(new er(D,ve,'use of \"text-field\" requires a style \"glyphs\" property')),De===\"text-font\"&&Ch(_u(ve))&&Fs(ve.type)===\"identity\"&&Qt.push(new er(D,ve,'\"text-font\" does not support identity functions'))),Qt.concat(j({key:R.key,value:ve,valueSpec:Tt,style:te,styleSpec:ue,expressionContext:\"property\",propertyType:S,propertyKey:De}))}function Ph(R){return pf(R,\"paint\")}function Rl(R){return pf(R,\"layout\")}function Ih(R){let S=[],D=R.value,j=R.key,te=R.style,ue=R.styleSpec;D.type||D.ref||S.push(new er(j,D,'either \"type\" or \"ref\" is required'));let ve=Fs(D.type),De=Fs(D.ref);if(D.id){let Ze=Fs(D.id);for(let at=0;at<R.arrayIndex;at++){let Tt=te.layers[at];Fs(Tt.id)===Ze&&S.push(new er(j,D.id,`duplicate layer id \"${D.id}\", previously used at line 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S=S.concat(xu({key:j,value:D,valueSpec:ue.layer,style:R.style,styleSpec:R.styleSpec,validateSpec:R.validateSpec,objectElementValidators:{\"*\":()=>[],type:()=>R.validateSpec({key:`${j}.type`,value:D.type,valueSpec:ue.layer.type,style:R.style,styleSpec:R.styleSpec,validateSpec:R.validateSpec,object:D,objectKey:\"type\"}),filter:Vf,layout:Ze=>xu({layer:D,key:Ze.key,value:Ze.value,style:Ze.style,styleSpec:Ze.styleSpec,validateSpec:Ze.validateSpec,objectElementValidators:{\"*\":at=>Rl(Ke({layerType:ve},at))}}),paint:Ze=>xu({layer:D,key:Ze.key,value:Ze.value,style:Ze.style,styleSpec:Ze.styleSpec,validateSpec:Ze.validateSpec,objectElementValidators:{\"*\":at=>Ph(Ke({layerType:ve},at))}})}})),S}function Wu(R){let S=R.value,D=R.key,j=ds(S);return j!==\"string\"?[new er(D,S,`string expected, ${j} found`)]:[]}let Rc={promoteId:function({key:R,value:S}){if(ds(S)===\"string\")return Wu({key:R,value:S});{let D=[];for(let j in S)D.push(...Wu({key:`${R}.${j}`,value:S[j]}));return D}}};function gc(R){let S=R.value,D=R.key,j=R.styleSpec,te=R.style,ue=R.validateSpec;if(!S.type)return[new er(D,S,'\"type\" is required')];let ve=Fs(S.type),De;switch(ve){case\"vector\":case\"raster\":return De=xu({key:D,value:S,valueSpec:j[`source_${ve.replace(\"-\",\"_\")}`],style:R.style,styleSpec:j,objectElementValidators:Rc,validateSpec:ue}),De;case\"raster-dem\":return De=function(Ze){var at;let Tt=(at=Ze.sourceName)!==null&&at!==void 0?at:\"\",Ft=Ze.value,Qt=Ze.styleSpec,sr=Qt.source_raster_dem,Tr=Ze.style,Pr=[],$r=ds(Ft);if(Ft===void 0)return Pr;if($r!==\"object\")return Pr.push(new er(\"source_raster_dem\",Ft,`object expected, ${$r} found`)),Pr;let ni=Fs(Ft.encoding)===\"custom\",Di=[\"redFactor\",\"greenFactor\",\"blueFactor\",\"baseShift\"],pi=Ze.value.encoding?`\"${Ze.value.encoding}\"`:\"Default\";for(let ki in Ft)!ni&&Di.includes(ki)?Pr.push(new er(ki,Ft[ki],`In \"${Tt}\": \"${ki}\" is only valid when \"encoding\" is set to \"custom\". ${pi} encoding 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D=D.concat(gf({key:\"\",value:R,valueSpec:S.$root,styleSpec:S,style:R,validateSpec:gf,objectElementValidators:{glyphs:gt,\"*\":()=>[]}})),R.constants&&(D=D.concat(sh({key:\"constants\",value:R.constants,style:R,styleSpec:S,validateSpec:gf}))),vr(D)}function wr(R){return function(S){return R(KQ(YQ({},S),{validateSpec:gf}))}}function vr(R){return[].concat(R).sort((S,D)=>S.line-D.line)}function Ur(R){return function(...S){return vr(R.apply(this,S))}}Bt.source=Ur(wr(gc)),Bt.sprite=Ur(wr(Yc)),Bt.glyphs=Ur(wr(gt)),Bt.light=Ur(wr(hl)),Bt.sky=Ur(wr(ru)),Bt.terrain=Ur(wr(mc)),Bt.layer=Ur(wr(Ih)),Bt.filter=Ur(wr(Vf)),Bt.paintProperty=Ur(wr(Ph)),Bt.layoutProperty=Ur(wr(Rl));let fi=Bt,xi=fi.light,Fi=fi.sky,Xi=fi.paintProperty,hn=fi.layoutProperty;function Ti(R,S){let D=!1;if(S&&S.length)for(let j of S)R.fire(new me(new Error(j.message))),D=!0;return D}class qi{constructor(S,D,j){let te=this.cells=[];if(S instanceof ArrayBuffer){this.arrayBuffer=S;let ve=new 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instanceof String||R instanceof Date||R instanceof RegExp||R instanceof Blob||R instanceof Error||Pn(R)||H(R)||ArrayBuffer.isView(R)||R instanceof ImageData)}function Ea(R,S){if(Ta(R))return(Pn(R)||H(R))&&S&&S.push(R),ArrayBuffer.isView(R)&&S&&S.push(R.buffer),R instanceof ImageData&&S&&S.push(R.data.buffer),R;if(Array.isArray(R)){let ue=[];for(let ve of R)ue.push(Ea(ve,S));return ue}if(typeof R!=\"object\")throw new Error(\"can't serialize object of type \"+typeof R);let D=Ma(R);if(!D)throw new Error(`can't serialize object of unregistered class ${R.constructor.name}`);if(!Ii[D])throw new Error(`${D} is not registered.`);let{klass:j}=Ii[D],te=j.serialize?j.serialize(R,S):{};if(j.serialize){if(S&&te===S[S.length-1])throw new Error(\"statically serialized object won't survive transfer of $name property\")}else{for(let ue in R){if(!R.hasOwnProperty(ue)||Ii[D].omit.indexOf(ue)>=0)continue;let ve=R[ue];te[ue]=Ii[D].shallow.indexOf(ue)>=0?ve:Ea(ve,S)}R instanceof Error&&(te.message=R.message)}if(te.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return D!==\"Object\"&&(te.$name=D),te}function qa(R){if(Ta(R))return R;if(Array.isArray(R))return R.map(qa);if(typeof R!=\"object\")throw new Error(\"can't deserialize object of type \"+typeof R);let S=Ma(R)||\"Object\";if(!Ii[S])throw new Error(`can't deserialize unregistered class ${S}`);let{klass:D}=Ii[S];if(!D)throw new Error(`can't deserialize unregistered class ${S}`);if(D.deserialize)return D.deserialize(R);let j=Object.create(D.prototype);for(let te of Object.keys(R)){if(te===\"$name\")continue;let ue=R[te];j[te]=Ii[S].shallow.indexOf(te)>=0?ue:qa(ue)}return j}class Cn{constructor(){this.first=!0}update(S,D){let j=Math.floor(S);return this.first?(this.first=!1,this.lastIntegerZoom=j,this.lastIntegerZoomTime=0,this.lastZoom=S,this.lastFloorZoom=j,!0):(this.lastFloorZoom>j?(this.lastIntegerZoom=j+1,this.lastIntegerZoomTime=D):this.lastFloorZoom<j&&(this.lastIntegerZoom=j,this.lastIntegerZoomTime=D),S!==this.lastZoom&&(this.lastZoom=S,this.lastFloorZoom=j,!0))}}let sn={\"Latin-1 Supplement\":R=>R>=128&&R<=255,\"Hangul Jamo\":R=>R>=4352&&R<=4607,Khmer:R=>R>=6016&&R<=6143,\"General Punctuation\":R=>R>=8192&&R<=8303,\"Letterlike Symbols\":R=>R>=8448&&R<=8527,\"Number Forms\":R=>R>=8528&&R<=8591,\"Miscellaneous Technical\":R=>R>=8960&&R<=9215,\"Control Pictures\":R=>R>=9216&&R<=9279,\"Optical Character Recognition\":R=>R>=9280&&R<=9311,\"Enclosed Alphanumerics\":R=>R>=9312&&R<=9471,\"Geometric Shapes\":R=>R>=9632&&R<=9727,\"Miscellaneous Symbols\":R=>R>=9728&&R<=9983,\"Miscellaneous Symbols and Arrows\":R=>R>=11008&&R<=11263,\"Ideographic Description Characters\":R=>R>=12272&&R<=12287,\"CJK Symbols and Punctuation\":R=>R>=12288&&R<=12351,Katakana:R=>R>=12448&&R<=12543,Kanbun:R=>R>=12688&&R<=12703,\"CJK Strokes\":R=>R>=12736&&R<=12783,\"Enclosed CJK Letters and Months\":R=>R>=12800&&R<=13055,\"CJK Compatibility\":R=>R>=13056&&R<=13311,\"Yijing Hexagram Symbols\":R=>R>=19904&&R<=19967,\"Private Use Area\":R=>R>=57344&&R<=63743,\"Vertical Forms\":R=>R>=65040&&R<=65055,\"CJK Compatibility Forms\":R=>R>=65072&&R<=65103,\"Small Form Variants\":R=>R>=65104&&R<=65135,\"Halfwidth and Fullwidth Forms\":R=>R>=65280&&R<=65519};function Ua(R){for(let S of R)if(Bo(S.charCodeAt(0)))return!0;return!1}function mo(R){for(let S of R)if(!Qo(S.charCodeAt(0)))return!1;return!0}function Xo(R){let S=R.map(D=>{try{return new RegExp(`\\\\p{sc=${D}}`,\"u\").source}catch(j){return null}}).filter(D=>D);return new RegExp(S.join(\"|\"),\"u\")}let Ts=Xo([\"Arab\",\"Dupl\",\"Mong\",\"Ougr\",\"Syrc\"]);function Qo(R){return!Ts.test(String.fromCodePoint(R))}let ys=Xo([\"Bopo\",\"Hani\",\"Hira\",\"Kana\",\"Kits\",\"Nshu\",\"Tang\",\"Yiii\"]);function Bo(R){return!(R!==746&&R!==747&&(R<4352||!(sn[\"CJK Compatibility Forms\"](R)&&!(R>=65097&&R<=65103)||sn[\"CJK Compatibility\"](R)||sn[\"CJK Strokes\"](R)||!(!sn[\"CJK Symbols and Punctuation\"](R)||R>=12296&&R<=12305||R>=12308&&R<=12319||R===12336)||sn[\"Enclosed CJK Letters and Months\"](R)||sn[\"Ideographic Description Characters\"](R)||sn.Kanbun(R)||sn.Katakana(R)&&R!==12540||!(!sn[\"Halfwidth and Fullwidth Forms\"](R)||R===65288||R===65289||R===65293||R>=65306&&R<=65310||R===65339||R===65341||R===65343||R>=65371&&R<=65503||R===65507||R>=65512&&R<=65519)||!(!sn[\"Small Form Variants\"](R)||R>=65112&&R<=65118||R>=65123&&R<=65126)||sn[\"Vertical Forms\"](R)||sn[\"Yijing Hexagram Symbols\"](R)||new RegExp(\"\\\\p{sc=Cans}\",\"u\").test(String.fromCodePoint(R))||new RegExp(\"\\\\p{sc=Hang}\",\"u\").test(String.fromCodePoint(R))||ys.test(String.fromCodePoint(R)))))}function yl(R){return!(Bo(R)||function(S){return!!(sn[\"Latin-1 Supplement\"](S)&&(S===167||S===169||S===174||S===177||S===188||S===189||S===190||S===215||S===247)||sn[\"General Punctuation\"](S)&&(S===8214||S===8224||S===8225||S===8240||S===8241||S===8251||S===8252||S===8258||S===8263||S===8264||S===8265||S===8273)||sn[\"Letterlike Symbols\"](S)||sn[\"Number Forms\"](S)||sn[\"Miscellaneous Technical\"](S)&&(S>=8960&&S<=8967||S>=8972&&S<=8991||S>=8996&&S<=9e3||S===9003||S>=9085&&S<=9114||S>=9150&&S<=9165||S===9167||S>=9169&&S<=9179||S>=9186&&S<=9215)||sn[\"Control Pictures\"](S)&&S!==9251||sn[\"Optical Character Recognition\"](S)||sn[\"Enclosed Alphanumerics\"](S)||sn[\"Geometric Shapes\"](S)||sn[\"Miscellaneous Symbols\"](S)&&!(S>=9754&&S<=9759)||sn[\"Miscellaneous Symbols and Arrows\"](S)&&(S>=11026&&S<=11055||S>=11088&&S<=11097||S>=11192&&S<=11243)||sn[\"CJK Symbols and Punctuation\"](S)||sn.Katakana(S)||sn[\"Private Use Area\"](S)||sn[\"CJK Compatibility Forms\"](S)||sn[\"Small Form Variants\"](S)||sn[\"Halfwidth and Fullwidth Forms\"](S)||S===8734||S===8756||S===8757||S>=9984&&S<=10087||S>=10102&&S<=10131||S===65532||S===65533)}(R))}let Gs=Xo([\"Adlm\",\"Arab\",\"Armi\",\"Avst\",\"Chrs\",\"Cprt\",\"Egyp\",\"Elym\",\"Gara\",\"Hatr\",\"Hebr\",\"Hung\",\"Khar\",\"Lydi\",\"Mand\",\"Mani\",\"Mend\",\"Merc\",\"Mero\",\"Narb\",\"Nbat\",\"Nkoo\",\"Orkh\",\"Palm\",\"Phli\",\"Phlp\",\"Phnx\",\"Prti\",\"Rohg\",\"Samr\",\"Sarb\",\"Sogo\",\"Syrc\",\"Thaa\",\"Todr\",\"Yezi\"]);function Rs(R){return Gs.test(String.fromCodePoint(R))}function ia(R,S){return!(!S&&Rs(R)||R>=2304&&R<=3583||R>=3840&&R<=4255||sn.Khmer(R))}function Ka(R){for(let S of R)if(Rs(S.charCodeAt(0)))return!0;return!1}let vs=new class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(R){this.pluginStatus=R.pluginStatus,this.pluginURL=R.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(R){this.applyArabicShaping=R.applyArabicShaping,this.processBidirectionalText=R.processBidirectionalText,this.processStyledBidirectionalText=R.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class Ko{constructor(S,D){this.zoom=S,D?(this.now=D.now,this.fadeDuration=D.fadeDuration,this.zoomHistory=D.zoomHistory,this.transition=D.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Cn,this.transition={})}isSupportedScript(S){return function(D,j){for(let te of D)if(!ia(te.charCodeAt(0),j))return!1;return!0}(S,vs.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let S=this.zoom,D=S-Math.floor(S),j=this.crossFadingFactor();return S>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:D+(1-D)*j}:{fromScale:.5,toScale:1,t:1-(1-j)*D}}}class iu{constructor(S,D){this.property=S,this.value=D,this.expression=function(j,te){if(Ch(j))return new Qs(j,te);if(Lc(j)){let ue=yu(j,te);if(ue.result===\"error\")throw new Error(ue.value.map(ve=>`${ve.key}: ${ve.message}`).join(\", \"));return ue.value}{let ue=j;return te.type===\"color\"&&typeof j==\"string\"?ue=Zt.parse(j):te.type!==\"padding\"||typeof j!=\"number\"&&!Array.isArray(j)?te.type===\"variableAnchorOffsetCollection\"&&Array.isArray(j)&&(ue=Si.parse(j)):ue=Vr.parse(j),{kind:\"constant\",evaluate:()=>ue}}}(D===void 0?S.specification.default:D,S.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(S,D,j){return this.property.possiblyEvaluate(this,S,D,j)}}class Ru{constructor(S){this.property=S,this.value=new iu(S,void 0)}transitioned(S,D){return new mf(this.property,this.value,D,L({},S.transition,this.transition),S.now)}untransitioned(){return new mf(this.property,this.value,null,{},0)}}class ac{constructor(S){this._properties=S,this._values=Object.create(S.defaultTransitionablePropertyValues)}getValue(S){return p(this._values[S].value.value)}setValue(S,D){Object.prototype.hasOwnProperty.call(this._values,S)||(this._values[S]=new Ru(this._values[S].property)),this._values[S].value=new iu(this._values[S].property,D===null?void 0:p(D))}getTransition(S){return p(this._values[S].transition)}setTransition(S,D){Object.prototype.hasOwnProperty.call(this._values,S)||(this._values[S]=new Ru(this._values[S].property)),this._values[S].transition=p(D)||void 0}serialize(){let S={};for(let D of Object.keys(this._values)){let j=this.getValue(D);j!==void 0&&(S[D]=j);let te=this.getTransition(D);te!==void 0&&(S[`${D}-transition`]=te)}return S}transitioned(S,D){let j=new bu(this._properties);for(let te of Object.keys(this._values))j._values[te]=this._values[te].transitioned(S,D._values[te]);return j}untransitioned(){let S=new bu(this._properties);for(let D of Object.keys(this._values))S._values[D]=this._values[D].untransitioned();return S}}class mf{constructor(S,D,j,te,ue){this.property=S,this.value=D,this.begin=ue+te.delay||0,this.end=this.begin+te.duration||0,S.specification.transition&&(te.delay||te.duration)&&(this.prior=j)}possiblyEvaluate(S,D,j){let te=S.now||0,ue=this.value.possiblyEvaluate(S,D,j),ve=this.prior;if(ve){if(te>this.end)return this.prior=null,ue;if(this.value.isDataDriven())return this.prior=null,ue;if(te<this.begin)return ve.possiblyEvaluate(S,D,j);{let De=(te-this.begin)/(this.end-this.begin);return this.property.interpolate(ve.possiblyEvaluate(S,D,j),ue,function(Ze){if(Ze<=0)return 0;if(Ze>=1)return 1;let at=Ze*Ze,Tt=at*Ze;return 4*(Ze<.5?Tt:3*(Ze-at)+Tt-.75)}(De))}}return ue}}class bu{constructor(S){this._properties=S,this._values=Object.create(S.defaultTransitioningPropertyValues)}possiblyEvaluate(S,D,j){let te=new Dc(this._properties);for(let ue of Object.keys(this._values))te._values[ue]=this._values[ue].possiblyEvaluate(S,D,j);return te}hasTransition(){for(let S of Object.keys(this._values))if(this._values[S].prior)return!0;return!1}}class Kc{constructor(S){this._properties=S,this._values=Object.create(S.defaultPropertyValues)}hasValue(S){return this._values[S].value!==void 0}getValue(S){return p(this._values[S].value)}setValue(S,D){this._values[S]=new iu(this._values[S].property,D===null?void 0:p(D))}serialize(){let S={};for(let D of Object.keys(this._values)){let j=this.getValue(D);j!==void 0&&(S[D]=j)}return S}possiblyEvaluate(S,D,j){let te=new Dc(this._properties);for(let ue of Object.keys(this._values))te._values[ue]=this._values[ue].possiblyEvaluate(S,D,j);return te}}class Du{constructor(S,D,j){this.property=S,this.value=D,this.parameters=j}isConstant(){return this.value.kind===\"constant\"}constantOr(S){return this.value.kind===\"constant\"?this.value.value:S}evaluate(S,D,j,te){return this.property.evaluate(this.value,this.parameters,S,D,j,te)}}class Dc{constructor(S){this._properties=S,this._values=Object.create(S.defaultPossiblyEvaluatedValues)}get(S){return this._values[S]}}class Da{constructor(S){this.specification=S}possiblyEvaluate(S,D){if(S.isDataDriven())throw new Error(\"Value should not be data driven\");return S.expression.evaluate(D)}interpolate(S,D,j){let te=Mo[this.specification.type];return te?te(S,D,j):S}}class eo{constructor(S,D){this.specification=S,this.overrides=D}possiblyEvaluate(S,D,j,te){return new Du(this,S.expression.kind===\"constant\"||S.expression.kind===\"camera\"?{kind:\"constant\",value:S.expression.evaluate(D,null,{},j,te)}:S.expression,D)}interpolate(S,D,j){if(S.value.kind!==\"constant\"||D.value.kind!==\"constant\")return S;if(S.value.value===void 0||D.value.value===void 0)return new Du(this,{kind:\"constant\",value:void 0},S.parameters);let te=Mo[this.specification.type];if(te){let ue=te(S.value.value,D.value.value,j);return new Du(this,{kind:\"constant\",value:ue},S.parameters)}return S}evaluate(S,D,j,te,ue,ve){return S.kind===\"constant\"?S.value:S.evaluate(D,j,te,ue,ve)}}class Jc extends eo{possiblyEvaluate(S,D,j,te){if(S.value===void 0)return new Du(this,{kind:\"constant\",value:void 0},D);if(S.expression.kind===\"constant\"){let ue=S.expression.evaluate(D,null,{},j,te),ve=S.property.specification.type===\"resolvedImage\"&&typeof ue!=\"string\"?ue.name:ue,De=this._calculate(ve,ve,ve,D);return new Du(this,{kind:\"constant\",value:De},D)}if(S.expression.kind===\"camera\"){let ue=this._calculate(S.expression.evaluate({zoom:D.zoom-1}),S.expression.evaluate({zoom:D.zoom}),S.expression.evaluate({zoom:D.zoom+1}),D);return new Du(this,{kind:\"constant\",value:ue},D)}return new Du(this,S.expression,D)}evaluate(S,D,j,te,ue,ve){if(S.kind===\"source\"){let De=S.evaluate(D,j,te,ue,ve);return this._calculate(De,De,De,D)}return S.kind===\"composite\"?this._calculate(S.evaluate({zoom:Math.floor(D.zoom)-1},j,te),S.evaluate({zoom:Math.floor(D.zoom)},j,te),S.evaluate({zoom:Math.floor(D.zoom)+1},j,te),D):S.value}_calculate(S,D,j,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:S,to:D}:{from:j,to:D}}interpolate(S){return S}}class yc{constructor(S){this.specification=S}possiblyEvaluate(S,D,j,te){if(S.value!==void 0){if(S.expression.kind===\"constant\"){let ue=S.expression.evaluate(D,null,{},j,te);return this._calculate(ue,ue,ue,D)}return this._calculate(S.expression.evaluate(new Ko(Math.floor(D.zoom-1),D)),S.expression.evaluate(new Ko(Math.floor(D.zoom),D)),S.expression.evaluate(new Ko(Math.floor(D.zoom+1),D)),D)}}_calculate(S,D,j,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:S,to:D}:{from:j,to:D}}interpolate(S){return S}}class _c{constructor(S){this.specification=S}possiblyEvaluate(S,D,j,te){return!!S.expression.evaluate(D,null,{},j,te)}interpolate(){return!1}}class le{constructor(S){this.properties=S,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let D in S){let j=S[D];j.specification.overridable&&this.overridableProperties.push(D);let te=this.defaultPropertyValues[D]=new iu(j,void 0),ue=this.defaultTransitionablePropertyValues[D]=new Ru(j);this.defaultTransitioningPropertyValues[D]=ue.untransitioned(),this.defaultPossiblyEvaluatedValues[D]=te.possiblyEvaluate({})}}}mi(\"DataDrivenProperty\",eo),mi(\"DataConstantProperty\",Da),mi(\"CrossFadedDataDrivenProperty\",Jc),mi(\"CrossFadedProperty\",yc),mi(\"ColorRampProperty\",_c);let w=\"-transition\";class B extends Re{constructor(S,D){if(super(),this.id=S.id,this.type=S.type,this._featureFilter={filter:()=>!0,needGeometry:!1},S.type!==\"custom\"&&(this.metadata=S.metadata,this.minzoom=S.minzoom,this.maxzoom=S.maxzoom,S.type!==\"background\"&&(this.source=S.source,this.sourceLayer=S[\"source-layer\"],this.filter=S.filter),D.layout&&(this._unevaluatedLayout=new Kc(D.layout)),D.paint)){this._transitionablePaint=new ac(D.paint);for(let j in S.paint)this.setPaintProperty(j,S.paint[j],{validate:!1});for(let j in S.layout)this.setLayoutProperty(j,S.layout[j],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Dc(D.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(S){return S===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(S)}setLayoutProperty(S,D,j={}){D!=null&&this._validate(hn,`layers.${this.id}.layout.${S}`,S,D,j)||(S!==\"visibility\"?this._unevaluatedLayout.setValue(S,D):this.visibility=D)}getPaintProperty(S){return S.endsWith(w)?this._transitionablePaint.getTransition(S.slice(0,-11)):this._transitionablePaint.getValue(S)}setPaintProperty(S,D,j={}){if(D!=null&&this._validate(Xi,`layers.${this.id}.paint.${S}`,S,D,j))return!1;if(S.endsWith(w))return this._transitionablePaint.setTransition(S.slice(0,-11),D||void 0),!1;{let te=this._transitionablePaint._values[S],ue=te.property.specification[\"property-type\"]===\"cross-faded-data-driven\",ve=te.value.isDataDriven(),De=te.value;this._transitionablePaint.setValue(S,D),this._handleSpecialPaintPropertyUpdate(S);let Ze=this._transitionablePaint._values[S].value;return Ze.isDataDriven()||ve||ue||this._handleOverridablePaintPropertyUpdate(S,De,Ze)}}_handleSpecialPaintPropertyUpdate(S){}_handleOverridablePaintPropertyUpdate(S,D,j){return!1}isHidden(S){return!!(this.minzoom&&S<this.minzoom)||!!(this.maxzoom&&S>=this.maxzoom)||this.visibility===\"none\"}updateTransitions(S){this._transitioningPaint=this._transitionablePaint.transitioned(S,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(S,D){S.getCrossfadeParameters&&(this._crossfadeParameters=S.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(S,void 0,D)),this.paint=this._transitioningPaint.possiblyEvaluate(S,void 0,D)}serialize(){let S={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(S.layout=S.layout||{},S.layout.visibility=this.visibility),M(S,(D,j)=>!(D===void 0||j===\"layout\"&&!Object.keys(D).length||j===\"paint\"&&!Object.keys(D).length))}_validate(S,D,j,te,ue={}){return(!ue||ue.validate!==!1)&&Ti(this,S.call(fi,{key:D,layerType:this.type,objectKey:j,value:te,styleSpec:ce,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let S in this.paint._values){let D=this.paint.get(S);if(D instanceof Du&&Cu(D.property.specification)&&(D.value.kind===\"source\"||D.value.kind===\"composite\")&&D.value.isStateDependent)return!0}return!1}}let Q={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class ee{constructor(S,D){this._structArray=S,this._pos1=D*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class se{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(S,D){return S._trim(),D&&(S.isTransferred=!0,D.push(S.arrayBuffer)),{length:S.length,arrayBuffer:S.arrayBuffer}}static deserialize(S){let D=Object.create(this.prototype);return D.arrayBuffer=S.arrayBuffer,D.length=S.length,D.capacity=S.arrayBuffer.byteLength/D.bytesPerElement,D._refreshViews(),D}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(S){this.reserve(S),this.length=S}reserve(S){if(S>this.capacity){this.capacity=Math.max(S,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let D=this.uint8;this._refreshViews(),D&&this.uint8.set(D)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function qe(R,S=1){let D=0,j=0;return{members:R.map(te=>{let ue=Q[te.type].BYTES_PER_ELEMENT,ve=D=je(D,Math.max(S,ue)),De=te.components||1;return j=Math.max(j,ue),D+=ue*De,{name:te.name,type:te.type,components:De,offset:ve}}),size:je(D,Math.max(j,S)),alignment:S}}function je(R,S){return Math.ceil(R/S)*S}class it extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.int16[te+0]=D,this.int16[te+1]=j,S}}it.prototype.bytesPerElement=4,mi(\"StructArrayLayout2i4\",it);class yt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.int16[ue+0]=D,this.int16[ue+1]=j,this.int16[ue+2]=te,S}}yt.prototype.bytesPerElement=6,mi(\"StructArrayLayout3i6\",yt);class Ot extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te){let ue=this.length;return this.resize(ue+1),this.emplace(ue,S,D,j,te)}emplace(S,D,j,te,ue){let ve=4*S;return this.int16[ve+0]=D,this.int16[ve+1]=j,this.int16[ve+2]=te,this.int16[ve+3]=ue,S}}Ot.prototype.bytesPerElement=8,mi(\"StructArrayLayout4i8\",Ot);class Nt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=6*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.int16[Ze+2]=te,this.int16[Ze+3]=ue,this.int16[Ze+4]=ve,this.int16[Ze+5]=De,S}}Nt.prototype.bytesPerElement=12,mi(\"StructArrayLayout2i4i12\",Nt);class hr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=4*S,at=8*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.uint8[at+4]=te,this.uint8[at+5]=ue,this.uint8[at+6]=ve,this.uint8[at+7]=De,S}}hr.prototype.bytesPerElement=8,mi(\"StructArrayLayout2i4ub8\",hr);class Sr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.float32[te+0]=D,this.float32[te+1]=j,S}}Sr.prototype.bytesPerElement=8,mi(\"StructArrayLayout2f8\",Sr);class he extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt){let Ft=this.length;return this.resize(Ft+1),this.emplace(Ft,S,D,j,te,ue,ve,De,Ze,at,Tt)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft){let Qt=10*S;return this.uint16[Qt+0]=D,this.uint16[Qt+1]=j,this.uint16[Qt+2]=te,this.uint16[Qt+3]=ue,this.uint16[Qt+4]=ve,this.uint16[Qt+5]=De,this.uint16[Qt+6]=Ze,this.uint16[Qt+7]=at,this.uint16[Qt+8]=Tt,this.uint16[Qt+9]=Ft,S}}he.prototype.bytesPerElement=20,mi(\"StructArrayLayout10ui20\",he);class be extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt){let sr=this.length;return this.resize(sr+1),this.emplace(sr,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr){let Tr=12*S;return this.int16[Tr+0]=D,this.int16[Tr+1]=j,this.int16[Tr+2]=te,this.int16[Tr+3]=ue,this.uint16[Tr+4]=ve,this.uint16[Tr+5]=De,this.uint16[Tr+6]=Ze,this.uint16[Tr+7]=at,this.int16[Tr+8]=Tt,this.int16[Tr+9]=Ft,this.int16[Tr+10]=Qt,this.int16[Tr+11]=sr,S}}be.prototype.bytesPerElement=24,mi(\"StructArrayLayout4i4ui4i24\",be);class Pe extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.float32[ue+0]=D,this.float32[ue+1]=j,this.float32[ue+2]=te,S}}Pe.prototype.bytesPerElement=12,mi(\"StructArrayLayout3f12\",Pe);class Oe extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.uint32[1*S+0]=D,S}}Oe.prototype.bytesPerElement=4,mi(\"StructArrayLayout1ul4\",Oe);class Je extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at){let Tt=this.length;return this.resize(Tt+1),this.emplace(Tt,S,D,j,te,ue,ve,De,Ze,at)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt){let Ft=10*S,Qt=5*S;return this.int16[Ft+0]=D,this.int16[Ft+1]=j,this.int16[Ft+2]=te,this.int16[Ft+3]=ue,this.int16[Ft+4]=ve,this.int16[Ft+5]=De,this.uint32[Qt+3]=Ze,this.uint16[Ft+8]=at,this.uint16[Ft+9]=Tt,S}}Je.prototype.bytesPerElement=20,mi(\"StructArrayLayout6i1ul2ui20\",Je);class He extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=6*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.int16[Ze+2]=te,this.int16[Ze+3]=ue,this.int16[Ze+4]=ve,this.int16[Ze+5]=De,S}}He.prototype.bytesPerElement=12,mi(\"StructArrayLayout2i2i2i12\",He);class et extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue){let ve=this.length;return this.resize(ve+1),this.emplace(ve,S,D,j,te,ue)}emplace(S,D,j,te,ue,ve){let De=4*S,Ze=8*S;return this.float32[De+0]=D,this.float32[De+1]=j,this.float32[De+2]=te,this.int16[Ze+6]=ue,this.int16[Ze+7]=ve,S}}et.prototype.bytesPerElement=16,mi(\"StructArrayLayout2f1f2i16\",et);class Mt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=16*S,at=4*S,Tt=8*S;return this.uint8[Ze+0]=D,this.uint8[Ze+1]=j,this.float32[at+1]=te,this.float32[at+2]=ue,this.int16[Tt+6]=ve,this.int16[Tt+7]=De,S}}Mt.prototype.bytesPerElement=16,mi(\"StructArrayLayout2ub2f2i16\",Mt);class Dt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.uint16[ue+0]=D,this.uint16[ue+1]=j,this.uint16[ue+2]=te,S}}Dt.prototype.bytesPerElement=6,mi(\"StructArrayLayout3ui6\",Dt);class Ut extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni){let Di=this.length;return this.resize(Di+1),this.emplace(Di,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di){let pi=24*S,ki=12*S,Zi=48*S;return this.int16[pi+0]=D,this.int16[pi+1]=j,this.uint16[pi+2]=te,this.uint16[pi+3]=ue,this.uint32[ki+2]=ve,this.uint32[ki+3]=De,this.uint32[ki+4]=Ze,this.uint16[pi+10]=at,this.uint16[pi+11]=Tt,this.uint16[pi+12]=Ft,this.float32[ki+7]=Qt,this.float32[ki+8]=sr,this.uint8[Zi+36]=Tr,this.uint8[Zi+37]=Pr,this.uint8[Zi+38]=$r,this.uint32[ki+10]=ni,this.int16[pi+22]=Di,S}}Ut.prototype.bytesPerElement=48,mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ut);class tr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a){let Xa=this.length;return this.resize(Xa+1),this.emplace(Xa,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a,Xa){let Tn=32*S,bo=16*S;return this.int16[Tn+0]=D,this.int16[Tn+1]=j,this.int16[Tn+2]=te,this.int16[Tn+3]=ue,this.int16[Tn+4]=ve,this.int16[Tn+5]=De,this.int16[Tn+6]=Ze,this.int16[Tn+7]=at,this.uint16[Tn+8]=Tt,this.uint16[Tn+9]=Ft,this.uint16[Tn+10]=Qt,this.uint16[Tn+11]=sr,this.uint16[Tn+12]=Tr,this.uint16[Tn+13]=Pr,this.uint16[Tn+14]=$r,this.uint16[Tn+15]=ni,this.uint16[Tn+16]=Di,this.uint16[Tn+17]=pi,this.uint16[Tn+18]=ki,this.uint16[Tn+19]=Zi,this.uint16[Tn+20]=ta,this.uint16[Tn+21]=Va,this.uint16[Tn+22]=Io,this.uint32[bo+12]=La,this.float32[bo+13]=Hn,this.float32[bo+14]=lo,this.uint16[Tn+30]=$a,this.uint16[Tn+31]=Xa,S}}tr.prototype.bytesPerElement=64,mi(\"StructArrayLayout8i15ui1ul2f2ui64\",tr);class mr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.float32[1*S+0]=D,S}}mr.prototype.bytesPerElement=4,mi(\"StructArrayLayout1f4\",mr);class Rr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.uint16[6*S+0]=D,this.float32[ue+1]=j,this.float32[ue+2]=te,S}}Rr.prototype.bytesPerElement=12,mi(\"StructArrayLayout1ui2f12\",Rr);class zr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=4*S;return this.uint32[2*S+0]=D,this.uint16[ue+2]=j,this.uint16[ue+3]=te,S}}zr.prototype.bytesPerElement=8,mi(\"StructArrayLayout1ul2ui8\",zr);class Xr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.uint16[te+0]=D,this.uint16[te+1]=j,S}}Xr.prototype.bytesPerElement=4,mi(\"StructArrayLayout2ui4\",Xr);class di extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.uint16[1*S+0]=D,S}}di.prototype.bytesPerElement=2,mi(\"StructArrayLayout1ui2\",di);class Li extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te){let ue=this.length;return this.resize(ue+1),this.emplace(ue,S,D,j,te)}emplace(S,D,j,te,ue){let ve=4*S;return this.float32[ve+0]=D,this.float32[ve+1]=j,this.float32[ve+2]=te,this.float32[ve+3]=ue,S}}Li.prototype.bytesPerElement=16,mi(\"StructArrayLayout4f16\",Li);class Ci extends ee{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new u(this.anchorPointX,this.anchorPointY)}}Ci.prototype.size=20;class Qi extends Je{get(S){return new Ci(this,S)}}mi(\"CollisionBoxArray\",Qi);class Mn extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(S){this._structArray.uint8[this._pos1+37]=S}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(S){this._structArray.uint8[this._pos1+38]=S}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(S){this._structArray.uint32[this._pos4+10]=S}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Mn.prototype.size=48;class pa extends Ut{get(S){return new Mn(this,S)}}mi(\"PlacedSymbolArray\",pa);class ea extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(S){this._structArray.uint32[this._pos4+12]=S}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}ea.prototype.size=64;class Ga extends tr{get(S){return new ea(this,S)}}mi(\"SymbolInstanceArray\",Ga);class To extends mr{getoffsetX(S){return this.float32[1*S+0]}}mi(\"GlyphOffsetArray\",To);class Wa extends yt{getx(S){return this.int16[3*S+0]}gety(S){return this.int16[3*S+1]}gettileUnitDistanceFromAnchor(S){return this.int16[3*S+2]}}mi(\"SymbolLineVertexArray\",Wa);class co extends ee{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}co.prototype.size=12;class Ro extends Rr{get(S){return new co(this,S)}}mi(\"TextAnchorOffsetArray\",Ro);class Ds extends ee{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ds.prototype.size=8;class As extends zr{get(S){return new Ds(this,S)}}mi(\"FeatureIndexArray\",As);class yo extends it{}class po extends it{}class _l extends it{}class Vl extends Nt{}class Zu extends hr{}class cu extends Sr{}class el extends he{}class nu extends be{}class zc extends Pe{}class Dl extends Oe{}class zl extends He{}class Z extends Mt{}class oe extends Dt{}class we extends Xr{}let Be=qe([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:Ue}=Be;class We{constructor(S=[]){this.segments=S}prepareSegment(S,D,j,te){let ue=this.segments[this.segments.length-1];return S>We.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${We.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${S}`),(!ue||ue.vertexLength+S>We.MAX_VERTEX_ARRAY_LENGTH||ue.sortKey!==te)&&(ue={vertexOffset:D.length,primitiveOffset:j.length,vertexLength:0,primitiveLength:0},te!==void 0&&(ue.sortKey=te),this.segments.push(ue)),ue}get(){return this.segments}destroy(){for(let S of this.segments)for(let D in S.vaos)S.vaos[D].destroy()}static simpleSegment(S,D,j,te){return new We([{vertexOffset:S,primitiveOffset:D,vertexLength:j,primitiveLength:te,vaos:{},sortKey:0}])}}function wt(R,S){return 256*(R=k(Math.floor(R),0,255))+k(Math.floor(S),0,255)}We.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,mi(\"SegmentVector\",We);let tt=qe([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var zt={exports:{}},or={exports:{}};or.exports=function(R,S){var D,j,te,ue,ve,De,Ze,at;for(j=R.length-(D=3&R.length),te=S,ve=3432918353,De=461845907,at=0;at<j;)Ze=255&R.charCodeAt(at)|(255&R.charCodeAt(++at))<<8|(255&R.charCodeAt(++at))<<16|(255&R.charCodeAt(++at))<<24,++at,te=27492+(65535&(ue=5*(65535&(te=(te^=Ze=(65535&(Ze=(Ze=(65535&Ze)*ve+(((Ze>>>16)*ve&65535)<<16)&4294967295)<<15|Ze>>>17))*De+(((Ze>>>16)*De&65535)<<16)&4294967295)<<13|te>>>19))+((5*(te>>>16)&65535)<<16)&4294967295))+((58964+(ue>>>16)&65535)<<16);switch(Ze=0,D){case 3:Ze^=(255&R.charCodeAt(at+2))<<16;case 2:Ze^=(255&R.charCodeAt(at+1))<<8;case 1:te^=Ze=(65535&(Ze=(Ze=(65535&(Ze^=255&R.charCodeAt(at)))*ve+(((Ze>>>16)*ve&65535)<<16)&4294967295)<<15|Ze>>>17))*De+(((Ze>>>16)*De&65535)<<16)&4294967295}return te^=R.length,te=2246822507*(65535&(te^=te>>>16))+((2246822507*(te>>>16)&65535)<<16)&4294967295,te=3266489909*(65535&(te^=te>>>13))+((3266489909*(te>>>16)&65535)<<16)&4294967295,(te^=te>>>16)>>>0};var lr=or.exports,Dr={exports:{}};Dr.exports=function(R,S){for(var D,j=R.length,te=S^j,ue=0;j>=4;)D=1540483477*(65535&(D=255&R.charCodeAt(ue)|(255&R.charCodeAt(++ue))<<8|(255&R.charCodeAt(++ue))<<16|(255&R.charCodeAt(++ue))<<24))+((1540483477*(D>>>16)&65535)<<16),te=1540483477*(65535&te)+((1540483477*(te>>>16)&65535)<<16)^(D=1540483477*(65535&(D^=D>>>24))+((1540483477*(D>>>16)&65535)<<16)),j-=4,++ue;switch(j){case 3:te^=(255&R.charCodeAt(ue+2))<<16;case 2:te^=(255&R.charCodeAt(ue+1))<<8;case 1:te=1540483477*(65535&(te^=255&R.charCodeAt(ue)))+((1540483477*(te>>>16)&65535)<<16)}return te=1540483477*(65535&(te^=te>>>13))+((1540483477*(te>>>16)&65535)<<16),(te^=te>>>15)>>>0};var Ir=lr,oi=Dr.exports;zt.exports=Ir,zt.exports.murmur3=Ir,zt.exports.murmur2=oi;var ui=o(zt.exports);class qr{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(S,D,j,te){this.ids.push(Kr(S)),this.positions.push(D,j,te)}getPositions(S){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let D=Kr(S),j=0,te=this.ids.length-1;for(;j<te;){let ve=j+te>>1;this.ids[ve]>=D?te=ve:j=ve+1}let ue=[];for(;this.ids[j]===D;)ue.push({index:this.positions[3*j],start:this.positions[3*j+1],end:this.positions[3*j+2]}),j++;return ue}static serialize(S,D){let j=new Float64Array(S.ids),te=new Uint32Array(S.positions);return ii(j,te,0,j.length-1),D&&D.push(j.buffer,te.buffer),{ids:j,positions:te}}static deserialize(S){let D=new qr;return D.ids=S.ids,D.positions=S.positions,D.indexed=!0,D}}function Kr(R){let S=+R;return!isNaN(S)&&S<=Number.MAX_SAFE_INTEGER?S:ui(String(R))}function ii(R,S,D,j){for(;D<j;){let te=R[D+j>>1],ue=D-1,ve=j+1;for(;;){do ue++;while(R[ue]<te);do ve--;while(R[ve]>te);if(ue>=ve)break;vi(R,ue,ve),vi(S,3*ue,3*ve),vi(S,3*ue+1,3*ve+1),vi(S,3*ue+2,3*ve+2)}ve-D<j-ve?(ii(R,S,D,ve),D=ve+1):(ii(R,S,ve+1,j),j=ve)}}function vi(R,S,D){let j=R[S];R[S]=R[D],R[D]=j}mi(\"FeaturePositionMap\",qr);class ci{constructor(S,D){this.gl=S.gl,this.location=D}}class Jr extends ci{constructor(S,D){super(S,D),this.current=0}set(S){this.current!==S&&(this.current=S,this.gl.uniform1f(this.location,S))}}class un extends ci{constructor(S,D){super(S,D),this.current=[0,0,0,0]}set(S){S[0]===this.current[0]&&S[1]===this.current[1]&&S[2]===this.current[2]&&S[3]===this.current[3]||(this.current=S,this.gl.uniform4f(this.location,S[0],S[1],S[2],S[3]))}}class dn extends ci{constructor(S,D){super(S,D),this.current=Zt.transparent}set(S){S.r===this.current.r&&S.g===this.current.g&&S.b===this.current.b&&S.a===this.current.a||(this.current=S,this.gl.uniform4f(this.location,S.r,S.g,S.b,S.a))}}let En=new Float32Array(16);function Nn(R){return[wt(255*R.r,255*R.g),wt(255*R.b,255*R.a)]}class ga{constructor(S,D,j){this.value=S,this.uniformNames=D.map(te=>`u_${te}`),this.type=j}setUniform(S,D,j){S.set(j.constantOr(this.value))}getBinding(S,D,j){return this.type===\"color\"?new dn(S,D):new Jr(S,D)}}class ya{constructor(S,D){this.uniformNames=D.map(j=>`u_${j}`),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(S,D){this.pixelRatioFrom=D.pixelRatio,this.pixelRatioTo=S.pixelRatio,this.patternFrom=D.tlbr,this.patternTo=S.tlbr}setUniform(S,D,j,te){let ue=te===\"u_pattern_to\"?this.patternTo:te===\"u_pattern_from\"?this.patternFrom:te===\"u_pixel_ratio_to\"?this.pixelRatioTo:te===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;ue&&S.set(ue)}getBinding(S,D,j){return j.substr(0,9)===\"u_pattern\"?new un(S,D):new Jr(S,D)}}class so{constructor(S,D,j,te){this.expression=S,this.type=j,this.maxValue=0,this.paintVertexAttributes=D.map(ue=>({name:`a_${ue}`,type:\"Float32\",components:j===\"color\"?2:1,offset:0})),this.paintVertexArray=new te}populatePaintArray(S,D,j,te,ue){let ve=this.paintVertexArray.length,De=this.expression.evaluate(new Ko(0),D,{},te,[],ue);this.paintVertexArray.resize(S),this._setPaintValue(ve,S,De)}updatePaintArray(S,D,j,te){let ue=this.expression.evaluate({zoom:0},j,te);this._setPaintValue(S,D,ue)}_setPaintValue(S,D,j){if(this.type===\"color\"){let te=Nn(j);for(let ue=S;ue<D;ue++)this.paintVertexArray.emplace(ue,te[0],te[1])}else{for(let te=S;te<D;te++)this.paintVertexArray.emplace(te,j);this.maxValue=Math.max(this.maxValue,Math.abs(j))}}upload(S){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=S.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class wa{constructor(S,D,j,te,ue,ve){this.expression=S,this.uniformNames=D.map(De=>`u_${De}_t`),this.type=j,this.useIntegerZoom=te,this.zoom=ue,this.maxValue=0,this.paintVertexAttributes=D.map(De=>({name:`a_${De}`,type:\"Float32\",components:j===\"color\"?4:2,offset:0})),this.paintVertexArray=new ve}populatePaintArray(S,D,j,te,ue){let ve=this.expression.evaluate(new Ko(this.zoom),D,{},te,[],ue),De=this.expression.evaluate(new Ko(this.zoom+1),D,{},te,[],ue),Ze=this.paintVertexArray.length;this.paintVertexArray.resize(S),this._setPaintValue(Ze,S,ve,De)}updatePaintArray(S,D,j,te){let ue=this.expression.evaluate({zoom:this.zoom},j,te),ve=this.expression.evaluate({zoom:this.zoom+1},j,te);this._setPaintValue(S,D,ue,ve)}_setPaintValue(S,D,j,te){if(this.type===\"color\"){let ue=Nn(j),ve=Nn(te);for(let De=S;De<D;De++)this.paintVertexArray.emplace(De,ue[0],ue[1],ve[0],ve[1])}else{for(let ue=S;ue<D;ue++)this.paintVertexArray.emplace(ue,j,te);this.maxValue=Math.max(this.maxValue,Math.abs(j),Math.abs(te))}}upload(S){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=S.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(S,D){let j=this.useIntegerZoom?Math.floor(D.zoom):D.zoom,te=k(this.expression.interpolationFactor(j,this.zoom,this.zoom+1),0,1);S.set(te)}getBinding(S,D,j){return new Jr(S,D)}}class io{constructor(S,D,j,te,ue,ve){this.expression=S,this.type=D,this.useIntegerZoom=j,this.zoom=te,this.layerId=ve,this.zoomInPaintVertexArray=new ue,this.zoomOutPaintVertexArray=new ue}populatePaintArray(S,D,j){let te=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(S),this.zoomOutPaintVertexArray.resize(S),this._setPaintValues(te,S,D.patterns&&D.patterns[this.layerId],j)}updatePaintArray(S,D,j,te,ue){this._setPaintValues(S,D,j.patterns&&j.patterns[this.layerId],ue)}_setPaintValues(S,D,j,te){if(!te||!j)return;let{min:ue,mid:ve,max:De}=j,Ze=te[ue],at=te[ve],Tt=te[De];if(Ze&&at&&Tt)for(let Ft=S;Ft<D;Ft++)this.zoomInPaintVertexArray.emplace(Ft,at.tl[0],at.tl[1],at.br[0],at.br[1],Ze.tl[0],Ze.tl[1],Ze.br[0],Ze.br[1],at.pixelRatio,Ze.pixelRatio),this.zoomOutPaintVertexArray.emplace(Ft,at.tl[0],at.tl[1],at.br[0],at.br[1],Tt.tl[0],Tt.tl[1],Tt.br[0],Tt.br[1],at.pixelRatio,Tt.pixelRatio)}upload(S){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=S.createVertexBuffer(this.zoomInPaintVertexArray,tt.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=S.createVertexBuffer(this.zoomOutPaintVertexArray,tt.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Ss{constructor(S,D,j){this.binders={},this._buffers=[];let te=[];for(let ue in S.paint._values){if(!j(ue))continue;let ve=S.paint.get(ue);if(!(ve instanceof Du&&Cu(ve.property.specification)))continue;let De=Ns(ue,S.type),Ze=ve.value,at=ve.property.specification.type,Tt=ve.property.useIntegerZoom,Ft=ve.property.specification[\"property-type\"],Qt=Ft===\"cross-faded\"||Ft===\"cross-faded-data-driven\";if(Ze.kind===\"constant\")this.binders[ue]=Qt?new ya(Ze.value,De):new ga(Ze.value,De,at),te.push(`/u_${ue}`);else if(Ze.kind===\"source\"||Qt){let sr=pn(ue,at,\"source\");this.binders[ue]=Qt?new io(Ze,at,Tt,D,sr,S.id):new so(Ze,De,at,sr),te.push(`/a_${ue}`)}else{let sr=pn(ue,at,\"composite\");this.binders[ue]=new wa(Ze,De,at,Tt,D,sr),te.push(`/z_${ue}`)}}this.cacheKey=te.sort().join(\"\")}getMaxValue(S){let D=this.binders[S];return D instanceof so||D instanceof wa?D.maxValue:0}populatePaintArrays(S,D,j,te,ue){for(let ve in this.binders){let De=this.binders[ve];(De instanceof so||De instanceof wa||De instanceof io)&&De.populatePaintArray(S,D,j,te,ue)}}setConstantPatternPositions(S,D){for(let j in this.binders){let te=this.binders[j];te instanceof ya&&te.setConstantPatternPositions(S,D)}}updatePaintArrays(S,D,j,te,ue){let ve=!1;for(let De in S){let Ze=D.getPositions(De);for(let at of Ze){let Tt=j.feature(at.index);for(let Ft in this.binders){let Qt=this.binders[Ft];if((Qt instanceof so||Qt instanceof wa||Qt instanceof io)&&Qt.expression.isStateDependent===!0){let sr=te.paint.get(Ft);Qt.expression=sr.value,Qt.updatePaintArray(at.start,at.end,Tt,S[De],ue),ve=!0}}}}return ve}defines(){let S=[];for(let D in this.binders){let j=this.binders[D];(j instanceof ga||j instanceof ya)&&S.push(...j.uniformNames.map(te=>`#define HAS_UNIFORM_${te}`))}return S}getBinderAttributes(){let S=[];for(let D in this.binders){let j=this.binders[D];if(j instanceof so||j instanceof wa)for(let te=0;te<j.paintVertexAttributes.length;te++)S.push(j.paintVertexAttributes[te].name);else if(j instanceof io)for(let te=0;te<tt.members.length;te++)S.push(tt.members[te].name)}return S}getBinderUniforms(){let S=[];for(let D in this.binders){let j=this.binders[D];if(j instanceof ga||j instanceof ya||j instanceof wa)for(let te of j.uniformNames)S.push(te)}return S}getPaintVertexBuffers(){return this._buffers}getUniforms(S,D){let j=[];for(let te in this.binders){let ue=this.binders[te];if(ue instanceof ga||ue instanceof ya||ue instanceof wa){for(let ve of ue.uniformNames)if(D[ve]){let De=ue.getBinding(S,D[ve],ve);j.push({name:ve,property:te,binding:De})}}}return j}setUniforms(S,D,j,te){for(let{name:ue,property:ve,binding:De}of D)this.binders[ve].setUniform(De,te,j.get(ve),ue)}updatePaintBuffers(S){this._buffers=[];for(let D in this.binders){let j=this.binders[D];if(S&&j instanceof io){let te=S.fromScale===2?j.zoomInPaintVertexBuffer:j.zoomOutPaintVertexBuffer;te&&this._buffers.push(te)}else(j instanceof so||j instanceof wa)&&j.paintVertexBuffer&&this._buffers.push(j.paintVertexBuffer)}}upload(S){for(let D in this.binders){let j=this.binders[D];(j instanceof so||j instanceof wa||j instanceof io)&&j.upload(S)}this.updatePaintBuffers()}destroy(){for(let S in this.binders){let D=this.binders[S];(D instanceof so||D instanceof wa||D instanceof io)&&D.destroy()}}}class _s{constructor(S,D,j=()=>!0){this.programConfigurations={};for(let te of S)this.programConfigurations[te.id]=new Ss(te,D,j);this.needsUpload=!1,this._featureMap=new qr,this._bufferOffset=0}populatePaintArrays(S,D,j,te,ue,ve){for(let De in this.programConfigurations)this.programConfigurations[De].populatePaintArrays(S,D,te,ue,ve);D.id!==void 0&&this._featureMap.add(D.id,j,this._bufferOffset,S),this._bufferOffset=S,this.needsUpload=!0}updatePaintArrays(S,D,j,te){for(let ue of j)this.needsUpload=this.programConfigurations[ue.id].updatePaintArrays(S,this._featureMap,D,ue,te)||this.needsUpload}get(S){return this.programConfigurations[S]}upload(S){if(this.needsUpload){for(let D in this.programConfigurations)this.programConfigurations[D].upload(S);this.needsUpload=!1}}destroy(){for(let S in this.programConfigurations)this.programConfigurations[S].destroy()}}function Ns(R,S){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[R]||[R.replace(`${S}-`,\"\").replace(/-/g,\"_\")]}function pn(R,S,D){let 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j=S[0],te=S[1],ue=S[2],ve=S[3],De=S[4],Ze=S[5],at=S[6],Tt=S[7],Ft=S[8],Qt=S[9],sr=S[10],Tr=S[11],Pr=S[12],$r=S[13],ni=S[14],Di=S[15],pi=D[0],ki=D[1],Zi=D[2],ta=D[3];return R[0]=pi*j+ki*De+Zi*Ft+ta*Pr,R[1]=pi*te+ki*Ze+Zi*Qt+ta*$r,R[2]=pi*ue+ki*at+Zi*sr+ta*ni,R[3]=pi*ve+ki*Tt+Zi*Tr+ta*Di,R[4]=(pi=D[4])*j+(ki=D[5])*De+(Zi=D[6])*Ft+(ta=D[7])*Pr,R[5]=pi*te+ki*Ze+Zi*Qt+ta*$r,R[6]=pi*ue+ki*at+Zi*sr+ta*ni,R[7]=pi*ve+ki*Tt+Zi*Tr+ta*Di,R[8]=(pi=D[8])*j+(ki=D[9])*De+(Zi=D[10])*Ft+(ta=D[11])*Pr,R[9]=pi*te+ki*Ze+Zi*Qt+ta*$r,R[10]=pi*ue+ki*at+Zi*sr+ta*ni,R[11]=pi*ve+ki*Tt+Zi*Tr+ta*Di,R[12]=(pi=D[12])*j+(ki=D[13])*De+(Zi=D[14])*Ft+(ta=D[15])*Pr,R[13]=pi*te+ki*Ze+Zi*Qt+ta*$r,R[14]=pi*ue+ki*at+Zi*sr+ta*ni,R[15]=pi*ve+ki*Tt+Zi*Tr+ta*Di,R}Math.hypot||(Math.hypot=function(){for(var R=0,S=arguments.length;S--;)R+=arguments[S]*arguments[S];return Math.sqrt(R)});var ca,Kn=gn;function Za(R,S,D){var j=S[0],te=S[1],ue=S[2],ve=S[3];return 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De=te.x,Ze=ue.x,at=ve.x,Tt=te.y,Ft=ue.y,Qt=ve.y,sr=De<Ze?De<at?De:at:Ze<at?Ze:at,Tr=Tt<Ft?Tt<Qt?Tt:Qt:Ft<Qt?Ft:Qt,Pr=De>Ze?De>at?De:at:Ze>at?Ze:at,$r=Tt>Ft?Tt>Qt?Tt:Qt:Ft>Qt?Ft:Qt,ni=z(sr,Tr,S,D,j),Di=z(Pr,$r,S,D,j),pi=R.prevZ,ki=R.nextZ;for(;pi&&pi.z>=ni&&ki&&ki.z<=Di;){if(pi.x>=sr&&pi.x<=Pr&&pi.y>=Tr&&pi.y<=$r&&pi!==te&&pi!==ve&&O(De,Tt,Ze,Ft,at,Qt,pi.x,pi.y)&&pe(pi.prev,pi,pi.next)>=0||(pi=pi.prevZ,ki.x>=sr&&ki.x<=Pr&&ki.y>=Tr&&ki.y<=$r&&ki!==te&&ki!==ve&&O(De,Tt,Ze,Ft,at,Qt,ki.x,ki.y)&&pe(ki.prev,ki,ki.next)>=0))return!1;ki=ki.nextZ}for(;pi&&pi.z>=ni;){if(pi.x>=sr&&pi.x<=Pr&&pi.y>=Tr&&pi.y<=$r&&pi!==te&&pi!==ve&&O(De,Tt,Ze,Ft,at,Qt,pi.x,pi.y)&&pe(pi.prev,pi,pi.next)>=0)return!1;pi=pi.prevZ}for(;ki&&ki.z<=Di;){if(ki.x>=sr&&ki.x<=Pr&&ki.y>=Tr&&ki.y<=$r&&ki!==te&&ki!==ve&&O(De,Tt,Ze,Ft,at,Qt,ki.x,ki.y)&&pe(ki.prev,ki,ki.next)>=0)return!1;ki=ki.nextZ}return!0}function ef(R,S){let D=R;do{let j=D.prev,te=D.next.next;!de(j,te)&&Ie(j,D,D.next,te)&&Kt(j,te)&&Kt(te,j)&&(S.push(j.i,D.i,te.i),vt(D),vt(D.next),D=R=te),D=D.next}while(D!==R);return wc(D)}function ls(R,S,D,j,te,ue){let ve=R;do{let De=ve.next.next;for(;De!==ve.prev;){if(ve.i!==De.i&&$(ve,De)){let Ze=ir(ve,De);return ve=wc(ve,ve.next),Ze=wc(Ze,Ze.next),yf(ve,S,D,j,te,ue,0),void yf(Ze,S,D,j,te,ue,0)}De=De.next}ve=ve.next}while(ve!==R)}function _f(R,S){return R.x-S.x}function ns(R,S){let D=function(te,ue){let ve=ue,De=te.x,Ze=te.y,at,Tt=-1/0;do{if(Ze<=ve.y&&Ze>=ve.next.y&&ve.next.y!==ve.y){let Pr=ve.x+(Ze-ve.y)*(ve.next.x-ve.x)/(ve.next.y-ve.y);if(Pr<=De&&Pr>Tt&&(Tt=Pr,at=ve.x<ve.next.x?ve:ve.next,Pr===De))return at}ve=ve.next}while(ve!==ue);if(!at)return null;let Ft=at,Qt=at.x,sr=at.y,Tr=1/0;ve=at;do{if(De>=ve.x&&ve.x>=Qt&&De!==ve.x&&O(Ze<sr?De:Tt,Ze,Qt,sr,Ze<sr?Tt:De,Ze,ve.x,ve.y)){let Pr=Math.abs(Ze-ve.y)/(De-ve.x);Kt(ve,te)&&(Pr<Tr||Pr===Tr&&(ve.x>at.x||ve.x===at.x&&Y(at,ve)))&&(at=ve,Tr=Pr)}ve=ve.next}while(ve!==Ft);return at}(R,S);if(!D)return S;let j=ir(D,R);return wc(j,j.next),wc(D,D.next)}function Y(R,S){return pe(R.prev,R,S.prev)<0&&pe(S.next,R,R.next)<0}function z(R,S,D,j,te){return(R=1431655765&((R=858993459&((R=252645135&((R=16711935&((R=(R-D)*te|0)|R<<8))|R<<4))|R<<2))|R<<1))|(S=1431655765&((S=858993459&((S=252645135&((S=16711935&((S=(S-j)*te|0)|S<<8))|S<<4))|S<<2))|S<<1))<<1}function K(R){let S=R,D=R;do(S.x<D.x||S.x===D.x&&S.y<D.y)&&(D=S),S=S.next;while(S!==R);return D}function O(R,S,D,j,te,ue,ve,De){return(te-ve)*(S-De)>=(R-ve)*(ue-De)&&(R-ve)*(j-De)>=(D-ve)*(S-De)&&(D-ve)*(ue-De)>=(te-ve)*(j-De)}function $(R,S){return R.next.i!==S.i&&R.prev.i!==S.i&&!function(D,j){let te=D;do{if(te.i!==D.i&&te.next.i!==D.i&&te.i!==j.i&&te.next.i!==j.i&&Ie(te,te.next,D,j))return!0;te=te.next}while(te!==D);return!1}(R,S)&&(Kt(R,S)&&Kt(S,R)&&function(D,j){let te=D,ue=!1,ve=(D.x+j.x)/2,De=(D.y+j.y)/2;do te.y>De!=te.next.y>De&&te.next.y!==te.y&&ve<(te.next.x-te.x)*(De-te.y)/(te.next.y-te.y)+te.x&&(ue=!ue),te=te.next;while(te!==D);return ue}(R,S)&&(pe(R.prev,R,S.prev)||pe(R,S.prev,S))||de(R,S)&&pe(R.prev,R,R.next)>0&&pe(S.prev,S,S.next)>0)}function pe(R,S,D){return(S.y-R.y)*(D.x-S.x)-(S.x-R.x)*(D.y-S.y)}function de(R,S){return R.x===S.x&&R.y===S.y}function Ie(R,S,D,j){let te=pt(pe(R,S,D)),ue=pt(pe(R,S,j)),ve=pt(pe(D,j,R)),De=pt(pe(D,j,S));return te!==ue&&ve!==De||!(te!==0||!$e(R,D,S))||!(ue!==0||!$e(R,j,S))||!(ve!==0||!$e(D,R,j))||!(De!==0||!$e(D,S,j))}function $e(R,S,D){return S.x<=Math.max(R.x,D.x)&&S.x>=Math.min(R.x,D.x)&&S.y<=Math.max(R.y,D.y)&&S.y>=Math.min(R.y,D.y)}function pt(R){return R>0?1:R<0?-1:0}function Kt(R,S){return pe(R.prev,R,R.next)<0?pe(R,S,R.next)>=0&&pe(R,R.prev,S)>=0:pe(R,S,R.prev)<0||pe(R,R.next,S)<0}function ir(R,S){let D=Pt(R.i,R.x,R.y),j=Pt(S.i,S.x,S.y),te=R.next,ue=S.prev;return R.next=S,S.prev=R,D.next=te,te.prev=D,j.next=D,D.prev=j,ue.next=j,j.prev=ue,j}function Jt(R,S,D,j){let te=Pt(R,S,D);return j?(te.next=j.next,te.prev=j,j.next.prev=te,j.next=te):(te.prev=te,te.next=te),te}function vt(R){R.next.prev=R.prev,R.prev.next=R.next,R.prevZ&&(R.prevZ.nextZ=R.nextZ),R.nextZ&&(R.nextZ.prevZ=R.prevZ)}function Pt(R,S,D){return{i:R,x:S,y:D,prev:null,next:null,z:0,prevZ:null,nextZ:null,steiner:!1}}function Wt(R,S,D){let j=D.patternDependencies,te=!1;for(let ue of S){let ve=ue.paint.get(`${R}-pattern`);ve.isConstant()||(te=!0);let De=ve.constantOr(null);De&&(te=!0,j[De.to]=!0,j[De.from]=!0)}return te}function rr(R,S,D,j,te){let ue=te.patternDependencies;for(let ve of S){let De=ve.paint.get(`${R}-pattern`).value;if(De.kind!==\"constant\"){let Ze=De.evaluate({zoom:j-1},D,{},te.availableImages),at=De.evaluate({zoom:j},D,{},te.availableImages),Tt=De.evaluate({zoom:j+1},D,{},te.availableImages);Ze=Ze&&Ze.name?Ze.name:Ze,at=at&&at.name?at.name:at,Tt=Tt&&Tt.name?Tt.name:Tt,ue[Ze]=!0,ue[at]=!0,ue[Tt]=!0,D.patterns[ve.id]={min:Ze,mid:at,max:Tt}}}return D}class dr{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(D=>D.id),this.index=S.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new _l,this.indexArray=new oe,this.indexArray2=new we,this.programConfigurations=new _s(S.layers,S.zoom),this.segments=new We,this.segments2=new We,this.stateDependentLayerIds=this.layers.filter(D=>D.isStateDependent()).map(D=>D.id)}populate(S,D,j){this.hasPattern=Wt(\"fill\",this.layers,D);let te=this.layers[0].layout.get(\"fill-sort-key\"),ue=!te.isConstant(),ve=[];for(let{feature:De,id:Ze,index:at,sourceLayerIndex:Tt}of S){let Ft=this.layers[0]._featureFilter.needGeometry,Qt=xl(De,Ft);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),Qt,j))continue;let sr=ue?te.evaluate(Qt,{},j,D.availableImages):void 0,Tr={id:Ze,properties:De.properties,type:De.type,sourceLayerIndex:Tt,index:at,geometry:Ft?Qt.geometry:js(De),patterns:{},sortKey:sr};ve.push(Tr)}ue&&ve.sort((De,Ze)=>De.sortKey-Ze.sortKey);for(let De of ve){let{geometry:Ze,index:at,sourceLayerIndex:Tt}=De;if(this.hasPattern){let Ft=rr(\"fill\",this.layers,De,this.zoom,D);this.patternFeatures.push(Ft)}else this.addFeature(De,Ze,at,j,{});D.featureIndex.insert(S[at].feature,Ze,at,Tt,this.index)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}addFeatures(S,D,j){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,D,j)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,Qc),this.indexBuffer=S.createIndexBuffer(this.indexArray),this.indexBuffer2=S.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())}addFeature(S,D,j,te,ue){for(let ve of Of(D,500)){let De=0;for(let sr of ve)De+=sr.length;let Ze=this.segments.prepareSegment(De,this.layoutVertexArray,this.indexArray),at=Ze.vertexLength,Tt=[],Ft=[];for(let sr of ve){if(sr.length===0)continue;sr!==ve[0]&&Ft.push(Tt.length/2);let Tr=this.segments2.prepareSegment(sr.length,this.layoutVertexArray,this.indexArray2),Pr=Tr.vertexLength;this.layoutVertexArray.emplaceBack(sr[0].x,sr[0].y),this.indexArray2.emplaceBack(Pr+sr.length-1,Pr),Tt.push(sr[0].x),Tt.push(sr[0].y);for(let $r=1;$r<sr.length;$r++)this.layoutVertexArray.emplaceBack(sr[$r].x,sr[$r].y),this.indexArray2.emplaceBack(Pr+$r-1,Pr+$r),Tt.push(sr[$r].x),Tt.push(sr[$r].y);Tr.vertexLength+=sr.length,Tr.primitiveLength+=sr.length}let Qt=El(Tt,Ft);for(let sr=0;sr<Qt.length;sr+=3)this.indexArray.emplaceBack(at+Qt[sr],at+Qt[sr+1],at+Qt[sr+2]);Ze.vertexLength+=De,Ze.primitiveLength+=Qt.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,j,ue,te)}}let pr,kr;mi(\"FillBucket\",dr,{omit:[\"layers\",\"patternFeatures\"]});var Ar={get paint(){return kr=kr||new le({\"fill-antialias\":new Da(ce.paint_fill[\"fill-antialias\"]),\"fill-opacity\":new eo(ce.paint_fill[\"fill-opacity\"]),\"fill-color\":new eo(ce.paint_fill[\"fill-color\"]),\"fill-outline-color\":new eo(ce.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Da(ce.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Da(ce.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new Jc(ce.paint_fill[\"fill-pattern\"])})},get layout(){return pr=pr||new le({\"fill-sort-key\":new eo(ce.layout_fill[\"fill-sort-key\"])})}};class gr extends B{constructor(S){super(S,Ar)}recalculate(S,D){super.recalculate(S,D);let j=this.paint._values[\"fill-outline-color\"];j.value.kind===\"constant\"&&j.value.value===void 0&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(S){return new dr(S)}queryRadius(){return to(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(S,D,j,te,ue,ve,De){return Er(Rn(S,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),ve.angle,De),te)}isTileClipped(){return!0}}let Cr=qe([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),cr=qe([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:Gr}=Cr;var ei={},yi=s,tn=Ri;function Ri(R,S,D,j,te){this.properties={},this.extent=D,this.type=0,this._pbf=R,this._geometry=-1,this._keys=j,this._values=te,R.readFields(ln,this,S)}function ln(R,S,D){R==1?S.id=D.readVarint():R==2?function(j,te){for(var ue=j.readVarint()+j.pos;j.pos<ue;){var ve=te._keys[j.readVarint()],De=te._values[j.readVarint()];te.properties[ve]=De}}(D,S):R==3?S.type=D.readVarint():R==4&&(S._geometry=D.pos)}function Qn(R){for(var S,D,j=0,te=0,ue=R.length,ve=ue-1;te<ue;ve=te++)j+=((D=R[ve]).x-(S=R[te]).x)*(S.y+D.y);return j}Ri.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ri.prototype.loadGeometry=function(){var R=this._pbf;R.pos=this._geometry;for(var S,D=R.readVarint()+R.pos,j=1,te=0,ue=0,ve=0,De=[];R.pos<D;){if(te<=0){var Ze=R.readVarint();j=7&Ze,te=Ze>>3}if(te--,j===1||j===2)ue+=R.readSVarint(),ve+=R.readSVarint(),j===1&&(S&&De.push(S),S=[]),S.push(new yi(ue,ve));else{if(j!==7)throw new Error(\"unknown command \"+j);S&&S.push(S[0].clone())}}return S&&De.push(S),De},Ri.prototype.bbox=function(){var R=this._pbf;R.pos=this._geometry;for(var S=R.readVarint()+R.pos,D=1,j=0,te=0,ue=0,ve=1/0,De=-1/0,Ze=1/0,at=-1/0;R.pos<S;){if(j<=0){var Tt=R.readVarint();D=7&Tt,j=Tt>>3}if(j--,D===1||D===2)(te+=R.readSVarint())<ve&&(ve=te),te>De&&(De=te),(ue+=R.readSVarint())<Ze&&(Ze=ue),ue>at&&(at=ue);else if(D!==7)throw new Error(\"unknown command \"+D)}return[ve,Ze,De,at]},Ri.prototype.toGeoJSON=function(R,S,D){var j,te,ue=this.extent*Math.pow(2,D),ve=this.extent*R,De=this.extent*S,Ze=this.loadGeometry(),at=Ri.types[this.type];function Tt(sr){for(var Tr=0;Tr<sr.length;Tr++){var Pr=sr[Tr];sr[Tr]=[360*(Pr.x+ve)/ue-180,360/Math.PI*Math.atan(Math.exp((180-360*(Pr.y+De)/ue)*Math.PI/180))-90]}}switch(this.type){case 1:var Ft=[];for(j=0;j<Ze.length;j++)Ft[j]=Ze[j][0];Tt(Ze=Ft);break;case 2:for(j=0;j<Ze.length;j++)Tt(Ze[j]);break;case 3:for(Ze=function(sr){var Tr=sr.length;if(Tr<=1)return[sr];for(var Pr,$r,ni=[],Di=0;Di<Tr;Di++){var pi=Qn(sr[Di]);pi!==0&&($r===void 0&&($r=pi<0),$r===pi<0?(Pr&&ni.push(Pr),Pr=[sr[Di]]):Pr.push(sr[Di]))}return Pr&&ni.push(Pr),ni}(Ze),j=0;j<Ze.length;j++)for(te=0;te<Ze[j].length;te++)Tt(Ze[j][te])}Ze.length===1?Ze=Ze[0]:at=\"Multi\"+at;var Qt={type:\"Feature\",geometry:{type:at,coordinates:Ze},properties:this.properties};return\"id\"in this&&(Qt.id=this.id),Qt};var qn=tn,rn=bn;function bn(R,S){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=R,this._keys=[],this._values=[],this._features=[],R.readFields(mn,this,S),this.length=this._features.length}function mn(R,S,D){R===15?S.version=D.readVarint():R===1?S.name=D.readString():R===5?S.extent=D.readVarint():R===2?S._features.push(D.pos):R===3?S._keys.push(D.readString()):R===4&&S._values.push(function(j){for(var te=null,ue=j.readVarint()+j.pos;j.pos<ue;){var ve=j.readVarint()>>3;te=ve===1?j.readString():ve===2?j.readFloat():ve===3?j.readDouble():ve===4?j.readVarint64():ve===5?j.readVarint():ve===6?j.readSVarint():ve===7?j.readBoolean():null}return te}(D))}bn.prototype.feature=function(R){if(R<0||R>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[R];var S=this._pbf.readVarint()+this._pbf.pos;return new qn(this._pbf,S,this.extent,this._keys,this._values)};var Gn=rn;function da(R,S,D){if(R===3){var j=new Gn(D,D.readVarint()+D.pos);j.length&&(S[j.name]=j)}}ei.VectorTile=function(R,S){this.layers=R.readFields(da,{},S)},ei.VectorTileFeature=tn,ei.VectorTileLayer=rn;let No=ei.VectorTileFeature.types,Do=Math.pow(2,13);function ps(R,S,D,j,te,ue,ve,De){R.emplaceBack(S,D,2*Math.floor(j*Do)+ve,te*Do*2,ue*Do*2,Math.round(De))}class fo{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(D=>D.id),this.index=S.index,this.hasPattern=!1,this.layoutVertexArray=new Vl,this.centroidVertexArray=new yo,this.indexArray=new oe,this.programConfigurations=new _s(S.layers,S.zoom),this.segments=new We,this.stateDependentLayerIds=this.layers.filter(D=>D.isStateDependent()).map(D=>D.id)}populate(S,D,j){this.features=[],this.hasPattern=Wt(\"fill-extrusion\",this.layers,D);for(let{feature:te,id:ue,index:ve,sourceLayerIndex:De}of S){let Ze=this.layers[0]._featureFilter.needGeometry,at=xl(te,Ze);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),at,j))continue;let Tt={id:ue,sourceLayerIndex:De,index:ve,geometry:Ze?at.geometry:js(te),properties:te.properties,type:te.type,patterns:{}};this.hasPattern?this.features.push(rr(\"fill-extrusion\",this.layers,Tt,this.zoom,D)):this.addFeature(Tt,Tt.geometry,ve,j,{}),D.featureIndex.insert(te,Tt.geometry,ve,De,this.index,!0)}}addFeatures(S,D,j){for(let te of this.features){let{geometry:ue}=te;this.addFeature(te,ue,te.index,D,j)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,Gr),this.centroidVertexBuffer=S.createVertexBuffer(this.centroidVertexArray,cr.members,!0),this.indexBuffer=S.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(S,D,j,te,ue){for(let ve of Of(D,500)){let De={x:0,y:0,vertexCount:0},Ze=0;for(let Tr of ve)Ze+=Tr.length;let at=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let Tr of ve){if(Tr.length===0||tl(Tr))continue;let Pr=0;for(let $r=0;$r<Tr.length;$r++){let ni=Tr[$r];if($r>=1){let Di=Tr[$r-1];if(!as(ni,Di)){at.vertexLength+4>We.MAX_VERTEX_ARRAY_LENGTH&&(at=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let pi=ni.sub(Di)._perp()._unit(),ki=Di.dist(ni);Pr+ki>32768&&(Pr=0),ps(this.layoutVertexArray,ni.x,ni.y,pi.x,pi.y,0,0,Pr),ps(this.layoutVertexArray,ni.x,ni.y,pi.x,pi.y,0,1,Pr),De.x+=2*ni.x,De.y+=2*ni.y,De.vertexCount+=2,Pr+=ki,ps(this.layoutVertexArray,Di.x,Di.y,pi.x,pi.y,0,0,Pr),ps(this.layoutVertexArray,Di.x,Di.y,pi.x,pi.y,0,1,Pr),De.x+=2*Di.x,De.y+=2*Di.y,De.vertexCount+=2;let Zi=at.vertexLength;this.indexArray.emplaceBack(Zi,Zi+2,Zi+1),this.indexArray.emplaceBack(Zi+1,Zi+2,Zi+3),at.vertexLength+=4,at.primitiveLength+=2}}}}if(at.vertexLength+Ze>We.MAX_VERTEX_ARRAY_LENGTH&&(at=this.segments.prepareSegment(Ze,this.layoutVertexArray,this.indexArray)),No[S.type]!==\"Polygon\")continue;let Tt=[],Ft=[],Qt=at.vertexLength;for(let Tr of ve)if(Tr.length!==0){Tr!==ve[0]&&Ft.push(Tt.length/2);for(let Pr=0;Pr<Tr.length;Pr++){let $r=Tr[Pr];ps(this.layoutVertexArray,$r.x,$r.y,0,0,1,1,0),De.x+=$r.x,De.y+=$r.y,De.vertexCount+=1,Tt.push($r.x),Tt.push($r.y)}}let sr=El(Tt,Ft);for(let Tr=0;Tr<sr.length;Tr+=3)this.indexArray.emplaceBack(Qt+sr[Tr],Qt+sr[Tr+2],Qt+sr[Tr+1]);at.primitiveLength+=sr.length/3,at.vertexLength+=Ze;for(let Tr=0;Tr<De.vertexCount;Tr++){let Pr=Math.floor(De.x/De.vertexCount),$r=Math.floor(De.y/De.vertexCount);this.centroidVertexArray.emplaceBack(Pr,$r)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,j,ue,te)}}function as(R,S){return R.x===S.x&&(R.x<0||R.x>za)||R.y===S.y&&(R.y<0||R.y>za)}function tl(R){return R.every(S=>S.x<0)||R.every(S=>S.x>za)||R.every(S=>S.y<0)||R.every(S=>S.y>za)}let zu;mi(\"FillExtrusionBucket\",fo,{omit:[\"layers\",\"features\"]});var Mv={get paint(){return zu=zu||new le({\"fill-extrusion-opacity\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Jc(ce[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Ev extends B{constructor(S){super(S,Mv)}createBucket(S){return new fo(S)}queryRadius(){return to(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(S,D,j,te,ue,ve,De,Ze){let at=Rn(S,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),ve.angle,De),Tt=this.paint.get(\"fill-extrusion-height\").evaluate(D,j),Ft=this.paint.get(\"fill-extrusion-base\").evaluate(D,j),Qt=function(Tr,Pr,$r,ni){let Di=[];for(let pi of Tr){let ki=[pi.x,pi.y,0,1];Za(ki,ki,Pr),Di.push(new u(ki[0]/ki[3],ki[1]/ki[3]))}return Di}(at,Ze),sr=function(Tr,Pr,$r,ni){let Di=[],pi=[],ki=ni[8]*Pr,Zi=ni[9]*Pr,ta=ni[10]*Pr,Va=ni[11]*Pr,Io=ni[8]*$r,La=ni[9]*$r,Hn=ni[10]*$r,lo=ni[11]*$r;for(let $a of Tr){let Xa=[],Tn=[];for(let bo of $a){let Ya=bo.x,Uo=bo.y,wu=ni[0]*Ya+ni[4]*Uo+ni[12],hu=ni[1]*Ya+ni[5]*Uo+ni[13],uh=ni[2]*Ya+ni[6]*Uo+ni[14],$v=ni[3]*Ya+ni[7]*Uo+ni[15],td=uh+ta,ch=$v+Va,Ud=wu+Io,Vd=hu+La,Hd=uh+Hn,rf=$v+lo,fh=new u((wu+ki)/ch,(hu+Zi)/ch);fh.z=td/ch,Xa.push(fh);let Td=new u(Ud/rf,Vd/rf);Td.z=Hd/rf,Tn.push(Td)}Di.push(Xa),pi.push(Tn)}return[Di,pi]}(te,Ft,Tt,Ze);return function(Tr,Pr,$r){let ni=1/0;Er($r,Pr)&&(ni=Yv($r,Pr[0]));for(let Di=0;Di<Pr.length;Di++){let pi=Pr[Di],ki=Tr[Di];for(let Zi=0;Zi<pi.length-1;Zi++){let ta=pi[Zi],Va=[ta,pi[Zi+1],ki[Zi+1],ki[Zi],ta];xc($r,Va)&&(ni=Math.min(ni,Yv($r,Va)))}}return ni!==1/0&&ni}(sr[0],sr[1],Qt)}}function yd(R,S){return R.x*S.x+R.y*S.y}function Yv(R,S){if(R.length===1){let D=0,j=S[D++],te;for(;!te||j.equals(te);)if(te=S[D++],!te)return 1/0;for(;D<S.length;D++){let ue=S[D],ve=R[0],De=te.sub(j),Ze=ue.sub(j),at=ve.sub(j),Tt=yd(De,De),Ft=yd(De,Ze),Qt=yd(Ze,Ze),sr=yd(at,De),Tr=yd(at,Ze),Pr=Tt*Qt-Ft*Ft,$r=(Qt*sr-Ft*Tr)/Pr,ni=(Tt*Tr-Ft*sr)/Pr,Di=j.z*(1-$r-ni)+te.z*$r+ue.z*ni;if(isFinite(Di))return Di}return 1/0}{let D=1/0;for(let j of S)D=Math.min(D,j.z);return D}}let cg=qe([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:vp}=cg,_d=qe([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:pp}=_d,Nd=ei.VectorTileFeature.types,xd=Math.cos(Math.PI/180*37.5),kv=Math.pow(2,14)/.5;class Kv{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(D=>D.id),this.index=S.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(D=>{this.gradients[D.id]={}}),this.layoutVertexArray=new Zu,this.layoutVertexArray2=new cu,this.indexArray=new oe,this.programConfigurations=new _s(S.layers,S.zoom),this.segments=new We,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(D=>D.isStateDependent()).map(D=>D.id)}populate(S,D,j){this.hasPattern=Wt(\"line\",this.layers,D);let te=this.layers[0].layout.get(\"line-sort-key\"),ue=!te.isConstant(),ve=[];for(let{feature:De,id:Ze,index:at,sourceLayerIndex:Tt}of S){let Ft=this.layers[0]._featureFilter.needGeometry,Qt=xl(De,Ft);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),Qt,j))continue;let sr=ue?te.evaluate(Qt,{},j):void 0,Tr={id:Ze,properties:De.properties,type:De.type,sourceLayerIndex:Tt,index:at,geometry:Ft?Qt.geometry:js(De),patterns:{},sortKey:sr};ve.push(Tr)}ue&&ve.sort((De,Ze)=>De.sortKey-Ze.sortKey);for(let De of ve){let{geometry:Ze,index:at,sourceLayerIndex:Tt}=De;if(this.hasPattern){let Ft=rr(\"line\",this.layers,De,this.zoom,D);this.patternFeatures.push(Ft)}else this.addFeature(De,Ze,at,j,{});D.featureIndex.insert(S[at].feature,Ze,at,Tt,this.index)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}addFeatures(S,D,j){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,D,j)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=S.createVertexBuffer(this.layoutVertexArray2,pp)),this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,vp),this.indexBuffer=S.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(S){if(S.properties&&Object.prototype.hasOwnProperty.call(S.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(S.properties,\"mapbox_clip_end\"))return{start:+S.properties.mapbox_clip_start,end:+S.properties.mapbox_clip_end}}addFeature(S,D,j,te,ue){let ve=this.layers[0].layout,De=ve.get(\"line-join\").evaluate(S,{}),Ze=ve.get(\"line-cap\"),at=ve.get(\"line-miter-limit\"),Tt=ve.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(S);for(let Ft of D)this.addLine(Ft,S,De,Ze,at,Tt);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,j,ue,te)}addLine(S,D,j,te,ue,ve){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let ni=0;ni<S.length-1;ni++)this.totalDistance+=S[ni].dist(S[ni+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}let De=Nd[D.type]===\"Polygon\",Ze=S.length;for(;Ze>=2&&S[Ze-1].equals(S[Ze-2]);)Ze--;let at=0;for(;at<Ze-1&&S[at].equals(S[at+1]);)at++;if(Ze<(De?3:2))return;j===\"bevel\"&&(ue=1.05);let Tt=this.overscaling<=16?15*za/(512*this.overscaling):0,Ft=this.segments.prepareSegment(10*Ze,this.layoutVertexArray,this.indexArray),Qt,sr,Tr,Pr,$r;this.e1=this.e2=-1,De&&(Qt=S[Ze-2],$r=S[at].sub(Qt)._unit()._perp());for(let ni=at;ni<Ze;ni++){if(Tr=ni===Ze-1?De?S[at+1]:void 0:S[ni+1],Tr&&S[ni].equals(Tr))continue;$r&&(Pr=$r),Qt&&(sr=Qt),Qt=S[ni],$r=Tr?Tr.sub(Qt)._unit()._perp():Pr,Pr=Pr||$r;let Di=Pr.add($r);Di.x===0&&Di.y===0||Di._unit();let pi=Pr.x*$r.x+Pr.y*$r.y,ki=Di.x*$r.x+Di.y*$r.y,Zi=ki!==0?1/ki:1/0,ta=2*Math.sqrt(2-2*ki),Va=ki<xd&&sr&&Tr,Io=Pr.x*$r.y-Pr.y*$r.x>0;if(Va&&ni>at){let lo=Qt.dist(sr);if(lo>2*Tt){let $a=Qt.sub(Qt.sub(sr)._mult(Tt/lo)._round());this.updateDistance(sr,$a),this.addCurrentVertex($a,Pr,0,0,Ft),sr=$a}}let La=sr&&Tr,Hn=La?j:De?\"butt\":te;if(La&&Hn===\"round\"&&(Zi<ve?Hn=\"miter\":Zi<=2&&(Hn=\"fakeround\")),Hn===\"miter\"&&Zi>ue&&(Hn=\"bevel\"),Hn===\"bevel\"&&(Zi>2&&(Hn=\"flipbevel\"),Zi<ue&&(Hn=\"miter\")),sr&&this.updateDistance(sr,Qt),Hn===\"miter\")Di._mult(Zi),this.addCurrentVertex(Qt,Di,0,0,Ft);else if(Hn===\"flipbevel\"){if(Zi>100)Di=$r.mult(-1);else{let lo=Zi*Pr.add($r).mag()/Pr.sub($r).mag();Di._perp()._mult(lo*(Io?-1:1))}this.addCurrentVertex(Qt,Di,0,0,Ft),this.addCurrentVertex(Qt,Di.mult(-1),0,0,Ft)}else if(Hn===\"bevel\"||Hn===\"fakeround\"){let lo=-Math.sqrt(Zi*Zi-1),$a=Io?lo:0,Xa=Io?0:lo;if(sr&&this.addCurrentVertex(Qt,Pr,$a,Xa,Ft),Hn===\"fakeround\"){let Tn=Math.round(180*ta/Math.PI/20);for(let bo=1;bo<Tn;bo++){let Ya=bo/Tn;if(Ya!==.5){let wu=Ya-.5;Ya+=Ya*wu*(Ya-1)*((1.0904+pi*(pi*(3.55645-1.43519*pi)-3.2452))*wu*wu+(.848013+pi*(.215638*pi-1.06021)))}let Uo=$r.sub(Pr)._mult(Ya)._add(Pr)._unit()._mult(Io?-1:1);this.addHalfVertex(Qt,Uo.x,Uo.y,!1,Io,0,Ft)}}Tr&&this.addCurrentVertex(Qt,$r,-$a,-Xa,Ft)}else if(Hn===\"butt\")this.addCurrentVertex(Qt,Di,0,0,Ft);else if(Hn===\"square\"){let lo=sr?1:-1;this.addCurrentVertex(Qt,Di,lo,lo,Ft)}else Hn===\"round\"&&(sr&&(this.addCurrentVertex(Qt,Pr,0,0,Ft),this.addCurrentVertex(Qt,Pr,1,1,Ft,!0)),Tr&&(this.addCurrentVertex(Qt,$r,-1,-1,Ft,!0),this.addCurrentVertex(Qt,$r,0,0,Ft)));if(Va&&ni<Ze-1){let lo=Qt.dist(Tr);if(lo>2*Tt){let $a=Qt.add(Tr.sub(Qt)._mult(Tt/lo)._round());this.updateDistance(Qt,$a),this.addCurrentVertex($a,$r,0,0,Ft),Qt=$a}}}}addCurrentVertex(S,D,j,te,ue,ve=!1){let De=D.y*te-D.x,Ze=-D.y-D.x*te;this.addHalfVertex(S,D.x+D.y*j,D.y-D.x*j,ve,!1,j,ue),this.addHalfVertex(S,De,Ze,ve,!0,-te,ue),this.distance>kv/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(S,D,j,te,ue,ve))}addHalfVertex({x:S,y:D},j,te,ue,ve,De,Ze){let at=.5*(this.lineClips?this.scaledDistance*(kv-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((S<<1)+(ue?1:0),(D<<1)+(ve?1:0),Math.round(63*j)+128,Math.round(63*te)+128,1+(De===0?0:De<0?-1:1)|(63&at)<<2,at>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let Tt=Ze.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,Tt),Ze.primitiveLength++),ve?this.e2=Tt:this.e1=Tt}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(S,D){this.distance+=S.dist(D),this.updateScaledDistance()}}let Cv,ny;mi(\"LineBucket\",Kv,{omit:[\"layers\",\"patternFeatures\"]});var fg={get paint(){return ny=ny||new le({\"line-opacity\":new eo(ce.paint_line[\"line-opacity\"]),\"line-color\":new eo(ce.paint_line[\"line-color\"]),\"line-translate\":new Da(ce.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Da(ce.paint_line[\"line-translate-anchor\"]),\"line-width\":new eo(ce.paint_line[\"line-width\"]),\"line-gap-width\":new eo(ce.paint_line[\"line-gap-width\"]),\"line-offset\":new eo(ce.paint_line[\"line-offset\"]),\"line-blur\":new eo(ce.paint_line[\"line-blur\"]),\"line-dasharray\":new yc(ce.paint_line[\"line-dasharray\"]),\"line-pattern\":new Jc(ce.paint_line[\"line-pattern\"]),\"line-gradient\":new _c(ce.paint_line[\"line-gradient\"])})},get layout(){return Cv=Cv||new le({\"line-cap\":new Da(ce.layout_line[\"line-cap\"]),\"line-join\":new eo(ce.layout_line[\"line-join\"]),\"line-miter-limit\":new Da(ce.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Da(ce.layout_line[\"line-round-limit\"]),\"line-sort-key\":new eo(ce.layout_line[\"line-sort-key\"])})}};class Hf extends eo{possiblyEvaluate(S,D){return D=new Ko(Math.floor(D.zoom),{now:D.now,fadeDuration:D.fadeDuration,zoomHistory:D.zoomHistory,transition:D.transition}),super.possiblyEvaluate(S,D)}evaluate(S,D,j,te){return D=L({},D,{zoom:Math.floor(D.zoom)}),super.evaluate(S,D,j,te)}}let hg;class ay extends B{constructor(S){super(S,fg),this.gradientVersion=0,hg||(hg=new Hf(fg.paint.properties[\"line-width\"].specification),hg.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(S){if(S===\"line-gradient\"){let D=this.gradientExpression();this.stepInterpolant=!!function(j){return j._styleExpression!==void 0}(D)&&D._styleExpression.expression instanceof Ji,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(S,D){super.recalculate(S,D),this.paint._values[\"line-floorwidth\"]=hg.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,S)}createBucket(S){return new Kv(S)}queryRadius(S){let D=S,j=Rh(yn(\"line-width\",this,D),yn(\"line-gap-width\",this,D)),te=yn(\"line-offset\",this,D);return j/2+Math.abs(te)+to(this.paint.get(\"line-translate\"))}queryIntersectsFeature(S,D,j,te,ue,ve,De){let Ze=Rn(S,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),ve.angle,De),at=De/2*Rh(this.paint.get(\"line-width\").evaluate(D,j),this.paint.get(\"line-gap-width\").evaluate(D,j)),Tt=this.paint.get(\"line-offset\").evaluate(D,j);return Tt&&(te=function(Ft,Qt){let sr=[];for(let Tr=0;Tr<Ft.length;Tr++){let Pr=Ft[Tr],$r=[];for(let ni=0;ni<Pr.length;ni++){let Di=Pr[ni-1],pi=Pr[ni],ki=Pr[ni+1],Zi=ni===0?new u(0,0):pi.sub(Di)._unit()._perp(),ta=ni===Pr.length-1?new u(0,0):ki.sub(pi)._unit()._perp(),Va=Zi._add(ta)._unit(),Io=Va.x*ta.x+Va.y*ta.y;Io!==0&&Va._mult(1/Io),$r.push(Va._mult(Qt)._add(pi))}sr.push($r)}return sr}(te,Tt*De)),function(Ft,Qt,sr){for(let Tr=0;Tr<Qt.length;Tr++){let Pr=Qt[Tr];if(Ft.length>=3){for(let 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gC(R,S){let{expression:D}=S;if(D.kind===\"constant\")return{kind:\"constant\",layoutSize:D.evaluate(new Ko(R+1))};if(D.kind===\"source\")return{kind:\"source\"};{let{zoomStops:j,interpolationType:te}=D,ue=0;for(;ue<j.length&&j[ue]<=R;)ue++;ue=Math.max(0,ue-1);let ve=ue;for(;ve<j.length&&j[ve]<R+1;)ve++;ve=Math.min(j.length-1,ve);let De=j[ue],Ze=j[ve];return D.kind===\"composite\"?{kind:\"composite\",minZoom:De,maxZoom:Ze,interpolationType:te}:{kind:\"camera\",minZoom:De,maxZoom:Ze,minSize:D.evaluate(new Ko(De)),maxSize:D.evaluate(new Ko(Ze)),interpolationType:te}}}function nS(R,S,D){let j=\"never\",te=R.get(S);return te?j=te:R.get(D)&&(j=\"always\"),j}let U9=ei.VectorTileFeature.types,V9=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Rw(R,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt){let sr=De?Math.min(lm,Math.round(De[0])):0,Tr=De?Math.min(lm,Math.round(De[1])):0;R.emplaceBack(S,D,Math.round(32*j),Math.round(32*te),ue,ve,(sr<<1)+(Ze?1:0),Tr,16*at,16*Tt,256*Ft,256*Qt)}function aS(R,S,D){R.emplaceBack(S.x,S.y,D),R.emplaceBack(S.x,S.y,D),R.emplaceBack(S.x,S.y,D),R.emplaceBack(S.x,S.y,D)}function oS(R){for(let S of R.sections)if(Ka(S.text))return!0;return!1}class sS{constructor(S){this.layoutVertexArray=new nu,this.indexArray=new oe,this.programConfigurations=S,this.segments=new We,this.dynamicLayoutVertexArray=new zc,this.opacityVertexArray=new Dl,this.hasVisibleVertices=!1,this.placedSymbolArray=new pa}isEmpty(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0}upload(S,D,j,te){this.isEmpty()||(j&&(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,rm.members),this.indexBuffer=S.createIndexBuffer(this.indexArray,D),this.dynamicLayoutVertexBuffer=S.createVertexBuffer(this.dynamicLayoutVertexArray,w1.members,!0),this.opacityVertexBuffer=S.createVertexBuffer(this.opacityVertexArray,V9,!0),this.opacityVertexBuffer.itemSize=1),(j||te)&&this.programConfigurations.upload(S))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}mi(\"SymbolBuffers\",sS);class um{constructor(S,D,j){this.layoutVertexArray=new S,this.layoutAttributes=D,this.indexArray=new j,this.segments=new We,this.collisionVertexArray=new Z}upload(S){this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=S.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=S.createVertexBuffer(this.collisionVertexArray,T1.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}mi(\"CollisionBuffers\",um);class E1{constructor(S){this.collisionBoxArray=S.collisionBoxArray,this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(ve=>ve.id),this.index=S.index,this.pixelRatio=S.pixelRatio,this.sourceLayerIndex=S.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Un([]),this.placementViewportMatrix=Un([]);let D=this.layers[0]._unevaluatedLayout._values;this.textSizeData=gC(this.zoom,D[\"text-size\"]),this.iconSizeData=gC(this.zoom,D[\"icon-size\"]);let j=this.layers[0].layout,te=j.get(\"symbol-sort-key\"),ue=j.get(\"symbol-z-order\");this.canOverlap=nS(j,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||nS(j,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||j.get(\"text-ignore-placement\")||j.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=ue!==\"viewport-y\"&&!te.isConstant(),this.sortFeaturesByY=(ue===\"viewport-y\"||ue===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,j.get(\"symbol-placement\")===\"point\"&&(this.writingModes=j.get(\"text-writing-mode\").map(ve=>i.ah[ve])),this.stateDependentLayerIds=this.layers.filter(ve=>ve.isStateDependent()).map(ve=>ve.id),this.sourceID=S.sourceID}createArrays(){this.text=new sS(new _s(this.layers,this.zoom,S=>/^text/.test(S))),this.icon=new sS(new _s(this.layers,this.zoom,S=>/^icon/.test(S))),this.glyphOffsetArray=new To,this.lineVertexArray=new Wa,this.symbolInstances=new Ga,this.textAnchorOffsets=new Ro}calculateGlyphDependencies(S,D,j,te,ue){for(let ve=0;ve<S.length;ve++)if(D[S.charCodeAt(ve)]=!0,(j||te)&&ue){let De=Fu[S.charAt(ve)];De&&(D[De.charCodeAt(0)]=!0)}}populate(S,D,j){let te=this.layers[0],ue=te.layout,ve=ue.get(\"text-font\"),De=ue.get(\"text-field\"),Ze=ue.get(\"icon-image\"),at=(De.value.kind!==\"constant\"||De.value.value instanceof Zr&&!De.value.value.isEmpty()||De.value.value.toString().length>0)&&(ve.value.kind!==\"constant\"||ve.value.value.length>0),Tt=Ze.value.kind!==\"constant\"||!!Ze.value.value||Object.keys(Ze.parameters).length>0,Ft=ue.get(\"symbol-sort-key\");if(this.features=[],!at&&!Tt)return;let Qt=D.iconDependencies,sr=D.glyphDependencies,Tr=D.availableImages,Pr=new Ko(this.zoom);for(let{feature:$r,id:ni,index:Di,sourceLayerIndex:pi}of S){let ki=te._featureFilter.needGeometry,Zi=xl($r,ki);if(!te._featureFilter.filter(Pr,Zi,j))continue;let ta,Va;if(ki||(Zi.geometry=js($r)),at){let La=te.getValueAndResolveTokens(\"text-field\",Zi,j,Tr),Hn=Zr.factory(La),lo=this.hasRTLText=this.hasRTLText||oS(Hn);(!lo||vs.getRTLTextPluginStatus()===\"unavailable\"||lo&&vs.isParsed())&&(ta=nm(Hn,te,Zi))}if(Tt){let La=te.getValueAndResolveTokens(\"icon-image\",Zi,j,Tr);Va=La instanceof Mi?La:Mi.fromString(La)}if(!ta&&!Va)continue;let Io=this.sortFeaturesByKey?Ft.evaluate(Zi,{},j):void 0;if(this.features.push({id:ni,text:ta,icon:Va,index:Di,sourceLayerIndex:pi,geometry:Zi.geometry,properties:$r.properties,type:U9[$r.type],sortKey:Io}),Va&&(Qt[Va.name]=!0),ta){let La=ve.evaluate(Zi,{},j).join(\",\"),Hn=ue.get(\"text-rotation-alignment\")!==\"viewport\"&&ue.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(i.ah.vertical)>=0;for(let lo of ta.sections)if(lo.image)Qt[lo.image.name]=!0;else{let $a=Ua(ta.toString()),Xa=lo.fontStack||La,Tn=sr[Xa]=sr[Xa]||{};this.calculateGlyphDependencies(lo.text,Tn,Hn,this.allowVerticalPlacement,$a)}}}ue.get(\"symbol-placement\")===\"line\"&&(this.features=function($r){let ni={},Di={},pi=[],ki=0;function Zi(La){pi.push($r[La]),ki++}function ta(La,Hn,lo){let $a=Di[La];return delete Di[La],Di[Hn]=$a,pi[$a].geometry[0].pop(),pi[$a].geometry[0]=pi[$a].geometry[0].concat(lo[0]),$a}function Va(La,Hn,lo){let $a=ni[Hn];return delete ni[Hn],ni[La]=$a,pi[$a].geometry[0].shift(),pi[$a].geometry[0]=lo[0].concat(pi[$a].geometry[0]),$a}function Io(La,Hn,lo){let $a=lo?Hn[0][Hn[0].length-1]:Hn[0][0];return`${La}:${$a.x}:${$a.y}`}for(let La=0;La<$r.length;La++){let Hn=$r[La],lo=Hn.geometry,$a=Hn.text?Hn.text.toString():null;if(!$a){Zi(La);continue}let Xa=Io($a,lo),Tn=Io($a,lo,!0);if(Xa in Di&&Tn in ni&&Di[Xa]!==ni[Tn]){let bo=Va(Xa,Tn,lo),Ya=ta(Xa,Tn,pi[bo].geometry);delete ni[Xa],delete Di[Tn],Di[Io($a,pi[Ya].geometry,!0)]=Ya,pi[bo].geometry=null}else Xa in Di?ta(Xa,Tn,lo):Tn in ni?Va(Xa,Tn,lo):(Zi(La),ni[Xa]=ki-1,Di[Tn]=ki-1)}return pi.filter(La=>La.geometry)}(this.features)),this.sortFeaturesByKey&&this.features.sort(($r,ni)=>$r.sortKey-ni.sortKey)}update(S,D,j){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(S,D,this.layers,j),this.icon.programConfigurations.updatePaintArrays(S,D,this.layers,j))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(S){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(S),this.iconCollisionBox.upload(S)),this.text.upload(S,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(S,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(S,D){let j=this.lineVertexArray.length;if(S.segment!==void 0){let te=S.dist(D[S.segment+1]),ue=S.dist(D[S.segment]),ve={};for(let De=S.segment+1;De<D.length;De++)ve[De]={x:D[De].x,y:D[De].y,tileUnitDistanceFromAnchor:te},De<D.length-1&&(te+=D[De+1].dist(D[De]));for(let De=S.segment||0;De>=0;De--)ve[De]={x:D[De].x,y:D[De].y,tileUnitDistanceFromAnchor:ue},De>0&&(ue+=D[De-1].dist(D[De]));for(let De=0;De<D.length;De++){let Ze=ve[De];this.lineVertexArray.emplaceBack(Ze.x,Ze.y,Ze.tileUnitDistanceFromAnchor)}}return{lineStartIndex:j,lineLength:this.lineVertexArray.length-j}}addSymbols(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt){let sr=S.indexArray,Tr=S.layoutVertexArray,Pr=S.segments.prepareSegment(4*D.length,Tr,sr,this.canOverlap?ve.sortKey:void 0),$r=this.glyphOffsetArray.length,ni=Pr.vertexLength,Di=this.allowVerticalPlacement&&De===i.ah.vertical?Math.PI/2:0,pi=ve.text&&ve.text.sections;for(let ki=0;ki<D.length;ki++){let{tl:Zi,tr:ta,bl:Va,br:Io,tex:La,pixelOffsetTL:Hn,pixelOffsetBR:lo,minFontScaleX:$a,minFontScaleY:Xa,glyphOffset:Tn,isSDF:bo,sectionIndex:Ya}=D[ki],Uo=Pr.vertexLength,wu=Tn[1];Rw(Tr,Ze.x,Ze.y,Zi.x,wu+Zi.y,La.x,La.y,j,bo,Hn.x,Hn.y,$a,Xa),Rw(Tr,Ze.x,Ze.y,ta.x,wu+ta.y,La.x+La.w,La.y,j,bo,lo.x,Hn.y,$a,Xa),Rw(Tr,Ze.x,Ze.y,Va.x,wu+Va.y,La.x,La.y+La.h,j,bo,Hn.x,lo.y,$a,Xa),Rw(Tr,Ze.x,Ze.y,Io.x,wu+Io.y,La.x+La.w,La.y+La.h,j,bo,lo.x,lo.y,$a,Xa),aS(S.dynamicLayoutVertexArray,Ze,Di),sr.emplaceBack(Uo,Uo+1,Uo+2),sr.emplaceBack(Uo+1,Uo+2,Uo+3),Pr.vertexLength+=4,Pr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(Tn[0]),ki!==D.length-1&&Ya===D[ki+1].sectionIndex||S.programConfigurations.populatePaintArrays(Tr.length,ve,ve.index,{},Qt,pi&&pi[Ya])}S.placedSymbolArray.emplaceBack(Ze.x,Ze.y,$r,this.glyphOffsetArray.length-$r,ni,at,Tt,Ze.segment,j?j[0]:0,j?j[1]:0,te[0],te[1],De,0,!1,0,Ft)}_addCollisionDebugVertex(S,D,j,te,ue,ve){return D.emplaceBack(0,0),S.emplaceBack(j.x,j.y,te,ue,Math.round(ve.x),Math.round(ve.y))}addCollisionDebugVertices(S,D,j,te,ue,ve,De){let Ze=ue.segments.prepareSegment(4,ue.layoutVertexArray,ue.indexArray),at=Ze.vertexLength,Tt=ue.layoutVertexArray,Ft=ue.collisionVertexArray,Qt=De.anchorX,sr=De.anchorY;this._addCollisionDebugVertex(Tt,Ft,ve,Qt,sr,new u(S,D)),this._addCollisionDebugVertex(Tt,Ft,ve,Qt,sr,new u(j,D)),this._addCollisionDebugVertex(Tt,Ft,ve,Qt,sr,new u(j,te)),this._addCollisionDebugVertex(Tt,Ft,ve,Qt,sr,new u(S,te)),Ze.vertexLength+=4;let Tr=ue.indexArray;Tr.emplaceBack(at,at+1),Tr.emplaceBack(at+1,at+2),Tr.emplaceBack(at+2,at+3),Tr.emplaceBack(at+3,at),Ze.primitiveLength+=4}addDebugCollisionBoxes(S,D,j,te){for(let ue=S;ue<D;ue++){let ve=this.collisionBoxArray.get(ue);this.addCollisionDebugVertices(ve.x1,ve.y1,ve.x2,ve.y2,te?this.textCollisionBox:this.iconCollisionBox,ve.anchorPoint,j)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new um(zl,oy.members,we),this.iconCollisionBox=new um(zl,oy.members,we);for(let S=0;S<this.symbolInstances.length;S++){let D=this.symbolInstances.get(S);this.addDebugCollisionBoxes(D.textBoxStartIndex,D.textBoxEndIndex,D,!0),this.addDebugCollisionBoxes(D.verticalTextBoxStartIndex,D.verticalTextBoxEndIndex,D,!0),this.addDebugCollisionBoxes(D.iconBoxStartIndex,D.iconBoxEndIndex,D,!1),this.addDebugCollisionBoxes(D.verticalIconBoxStartIndex,D.verticalIconBoxEndIndex,D,!1)}}_deserializeCollisionBoxesForSymbol(S,D,j,te,ue,ve,De,Ze,at){let Tt={};for(let Ft=D;Ft<j;Ft++){let Qt=S.get(Ft);Tt.textBox={x1:Qt.x1,y1:Qt.y1,x2:Qt.x2,y2:Qt.y2,anchorPointX:Qt.anchorPointX,anchorPointY:Qt.anchorPointY},Tt.textFeatureIndex=Qt.featureIndex;break}for(let Ft=te;Ft<ue;Ft++){let Qt=S.get(Ft);Tt.verticalTextBox={x1:Qt.x1,y1:Qt.y1,x2:Qt.x2,y2:Qt.y2,anchorPointX:Qt.anchorPointX,anchorPointY:Qt.anchorPointY},Tt.verticalTextFeatureIndex=Qt.featureIndex;break}for(let Ft=ve;Ft<De;Ft++){let Qt=S.get(Ft);Tt.iconBox={x1:Qt.x1,y1:Qt.y1,x2:Qt.x2,y2:Qt.y2,anchorPointX:Qt.anchorPointX,anchorPointY:Qt.anchorPointY},Tt.iconFeatureIndex=Qt.featureIndex;break}for(let Ft=Ze;Ft<at;Ft++){let Qt=S.get(Ft);Tt.verticalIconBox={x1:Qt.x1,y1:Qt.y1,x2:Qt.x2,y2:Qt.y2,anchorPointX:Qt.anchorPointX,anchorPointY:Qt.anchorPointY},Tt.verticalIconFeatureIndex=Qt.featureIndex;break}return Tt}deserializeCollisionBoxes(S){this.collisionArrays=[];for(let D=0;D<this.symbolInstances.length;D++){let j=this.symbolInstances.get(D);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(S,j.textBoxStartIndex,j.textBoxEndIndex,j.verticalTextBoxStartIndex,j.verticalTextBoxEndIndex,j.iconBoxStartIndex,j.iconBoxEndIndex,j.verticalIconBoxStartIndex,j.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(S,D){let j=S.placedSymbolArray.get(D),te=j.vertexStartIndex+4*j.numGlyphs;for(let ue=j.vertexStartIndex;ue<te;ue+=4)S.indexArray.emplaceBack(ue,ue+1,ue+2),S.indexArray.emplaceBack(ue+1,ue+2,ue+3)}getSortedSymbolIndexes(S){if(this.sortedAngle===S&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;let D=Math.sin(S),j=Math.cos(S),te=[],ue=[],ve=[];for(let De=0;De<this.symbolInstances.length;++De){ve.push(De);let Ze=this.symbolInstances.get(De);te.push(0|Math.round(D*Ze.anchorX+j*Ze.anchorY)),ue.push(Ze.featureIndex)}return ve.sort((De,Ze)=>te[De]-te[Ze]||ue[Ze]-ue[De]),ve}addToSortKeyRanges(S,D){let j=this.sortKeyRanges[this.sortKeyRanges.length-1];j&&j.sortKey===D?j.symbolInstanceEnd=S+1:this.sortKeyRanges.push({sortKey:D,symbolInstanceStart:S,symbolInstanceEnd:S+1})}sortFeatures(S){if(this.sortFeaturesByY&&this.sortedAngle!==S&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(S),this.sortedAngle=S,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let D of this.symbolInstanceIndexes){let j=this.symbolInstances.get(D);this.featureSortOrder.push(j.featureIndex),[j.rightJustifiedTextSymbolIndex,j.centerJustifiedTextSymbolIndex,j.leftJustifiedTextSymbolIndex].forEach((te,ue,ve)=>{te>=0&&ve.indexOf(te)===ue&&this.addIndicesForPlacedSymbol(this.text,te)}),j.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,j.verticalPlacedTextSymbolIndex),j.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,j.placedIconSymbolIndex),j.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,j.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let tf,Wx;mi(\"SymbolBucket\",E1,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),E1.MAX_GLYPHS=65535,E1.addDynamicAttributes=aS;var Dw={get paint(){return Wx=Wx||new le({\"icon-opacity\":new eo(ce.paint_symbol[\"icon-opacity\"]),\"icon-color\":new eo(ce.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new eo(ce.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new eo(ce.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new eo(ce.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Da(ce.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Da(ce.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new eo(ce.paint_symbol[\"text-opacity\"]),\"text-color\":new eo(ce.paint_symbol[\"text-color\"],{runtimeType:Ht,getOverride:R=>R.textColor,hasOverride:R=>!!R.textColor}),\"text-halo-color\":new eo(ce.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new eo(ce.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new eo(ce.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Da(ce.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Da(ce.paint_symbol[\"text-translate-anchor\"])})},get layout(){return tf=tf||new le({\"symbol-placement\":new Da(ce.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Da(ce.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Da(ce.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new eo(ce.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Da(ce.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Da(ce.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Da(ce.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Da(ce.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Da(ce.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Da(ce.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new eo(ce.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Da(ce.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Da(ce.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new eo(ce.layout_symbol[\"icon-image\"]),\"icon-rotate\":new eo(ce.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new eo(ce.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Da(ce.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new eo(ce.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new eo(ce.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Da(ce.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Da(ce.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Da(ce.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new eo(ce.layout_symbol[\"text-field\"]),\"text-font\":new eo(ce.layout_symbol[\"text-font\"]),\"text-size\":new eo(ce.layout_symbol[\"text-size\"]),\"text-max-width\":new eo(ce.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Da(ce.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new eo(ce.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new eo(ce.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new eo(ce.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Da(ce.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new eo(ce.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new eo(ce.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Da(ce.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Da(ce.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new eo(ce.layout_symbol[\"text-rotate\"]),\"text-padding\":new Da(ce.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Da(ce.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new eo(ce.layout_symbol[\"text-transform\"]),\"text-offset\":new eo(ce.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Da(ce.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Da(ce.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Da(ce.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Da(ce.layout_symbol[\"text-optional\"])})}};class Zx{constructor(S){if(S.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=S.property.overrides?S.property.overrides.runtimeType:Lt,this.defaultValue=S}evaluate(S){if(S.formattedSection){let D=this.defaultValue.property.overrides;if(D&&D.hasOverride(S.formattedSection))return D.getOverride(S.formattedSection)}return S.feature&&S.featureState?this.defaultValue.evaluate(S.feature,S.featureState):this.defaultValue.property.specification.default}eachChild(S){this.defaultValue.isConstant()||S(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}mi(\"FormatSectionOverride\",Zx,{omit:[\"defaultValue\"]});class uy extends B{constructor(S){super(S,Dw)}recalculate(S,D){if(super.recalculate(S,D),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let j=this.layout.get(\"text-writing-mode\");if(j){let te=[];for(let ue of j)te.indexOf(ue)<0&&te.push(ue);this.layout._values[\"text-writing-mode\"]=te}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(S,D,j,te){let ue=this.layout.get(S).evaluate(D,{},j,te),ve=this._unevaluatedLayout._values[S];return ve.isDataDriven()||Lc(ve.value)||!ue?ue:function(De,Ze){return Ze.replace(/{([^{}]+)}/g,(at,Tt)=>De&&Tt in De?String(De[Tt]):\"\")}(D.properties,ue)}createBucket(S){return new E1(S)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let S of Dw.paint.overridableProperties){if(!uy.hasPaintOverride(this.layout,S))continue;let D=this.paint.get(S),j=new Zx(D),te=new Pu(j,D.property.specification),ue=null;ue=D.value.kind===\"constant\"||D.value.kind===\"source\"?new Xc(\"source\",te):new ic(\"composite\",te,D.value.zoomStops),this.paint._values[S]=new Du(D.property,ue,D.parameters)}}_handleOverridablePaintPropertyUpdate(S,D,j){return!(!this.layout||D.isDataDriven()||j.isDataDriven())&&uy.hasPaintOverride(this.layout,S)}static hasPaintOverride(S,D){let j=S.get(\"text-field\"),te=Dw.paint.properties[D],ue=!1,ve=De=>{for(let Ze of De)if(te.overrides&&te.overrides.hasOverride(Ze))return void(ue=!0)};if(j.value.kind===\"constant\"&&j.value.value instanceof Zr)ve(j.value.value.sections);else if(j.value.kind===\"source\"){let De=at=>{ue||(at instanceof jn&&Ki(at.value)===Br?ve(at.value.sections):at instanceof $l?ve(at.sections):at.eachChild(De))},Ze=j.value;Ze._styleExpression&&De(Ze._styleExpression.expression)}return ue}}let mC;var Xx={get paint(){return mC=mC||new le({\"background-color\":new Da(ce.paint_background[\"background-color\"]),\"background-pattern\":new yc(ce.paint_background[\"background-pattern\"]),\"background-opacity\":new Da(ce.paint_background[\"background-opacity\"])})}};class H9 extends B{constructor(S){super(S,Xx)}}let lS;var yC={get paint(){return lS=lS||new le({\"raster-opacity\":new Da(ce.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Da(ce.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Da(ce.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Da(ce.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Da(ce.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Da(ce.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Da(ce.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Da(ce.paint_raster[\"raster-fade-duration\"])})}};class Yx extends B{constructor(S){super(S,yC)}}class uS extends B{constructor(S){super(S,{}),this.onAdd=D=>{this.implementation.onAdd&&this.implementation.onAdd(D,D.painter.context.gl)},this.onRemove=D=>{this.implementation.onRemove&&this.implementation.onRemove(D,D.painter.context.gl)},this.implementation=S}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class cS{constructor(S){this._methodToThrottle=S,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(()=>{this._triggered=!1,this._methodToThrottle()},0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}let fS=63710088e-1;class dg{constructor(S,D){if(isNaN(S)||isNaN(D))throw new Error(`Invalid LngLat object: (${S}, ${D})`);if(this.lng=+S,this.lat=+D,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new dg(A(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(S){let D=Math.PI/180,j=this.lat*D,te=S.lat*D,ue=Math.sin(j)*Math.sin(te)+Math.cos(j)*Math.cos(te)*Math.cos((S.lng-this.lng)*D);return fS*Math.acos(Math.min(ue,1))}static convert(S){if(S instanceof dg)return S;if(Array.isArray(S)&&(S.length===2||S.length===3))return new dg(Number(S[0]),Number(S[1]));if(!Array.isArray(S)&&typeof S==\"object\"&&S!==null)return new dg(Number(\"lng\"in S?S.lng:S.lon),Number(S.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}let k1=2*Math.PI*fS;function _C(R){return k1*Math.cos(R*Math.PI/180)}function zw(R){return(180+R)/360}function xC(R){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R*Math.PI/360)))/360}function Fw(R,S){return R/_C(S)}function Kx(R){return 360/Math.PI*Math.atan(Math.exp((180-360*R)*Math.PI/180))-90}class Jx{constructor(S,D,j=0){this.x=+S,this.y=+D,this.z=+j}static fromLngLat(S,D=0){let j=dg.convert(S);return new Jx(zw(j.lng),xC(j.lat),Fw(D,j.lat))}toLngLat(){return new dg(360*this.x-180,Kx(this.y))}toAltitude(){return this.z*_C(Kx(this.y))}meterInMercatorCoordinateUnits(){return 1/k1*(S=Kx(this.y),1/Math.cos(S*Math.PI/180));var S}}function gp(R,S,D){var j=2*Math.PI*6378137/256/Math.pow(2,D);return[R*j-2*Math.PI*6378137/2,S*j-2*Math.PI*6378137/2]}class hS{constructor(S,D,j){if(!function(te,ue,ve){return!(te<0||te>25||ve<0||ve>=Math.pow(2,te)||ue<0||ue>=Math.pow(2,te))}(S,D,j))throw new Error(`x=${D}, y=${j}, z=${S} outside of bounds. 0<=x<${Math.pow(2,S)}, 0<=y<${Math.pow(2,S)} 0<=z<=25 `);this.z=S,this.x=D,this.y=j,this.key=$x(0,S,S,D,j)}equals(S){return this.z===S.z&&this.x===S.x&&this.y===S.y}url(S,D,j){let te=(ve=this.y,De=this.z,Ze=gp(256*(ue=this.x),256*(ve=Math.pow(2,De)-ve-1),De),at=gp(256*(ue+1),256*(ve+1),De),Ze[0]+\",\"+Ze[1]+\",\"+at[0]+\",\"+at[1]);var ue,ve,De,Ze,at;let Tt=function(Ft,Qt,sr){let Tr,Pr=\"\";for(let $r=Ft;$r>0;$r--)Tr=1<<$r-1,Pr+=(Qt&Tr?1:0)+(sr&Tr?2:0);return Pr}(this.z,this.x,this.y);return S[(this.x+this.y)%S.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(j===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,D>1?\"@2x\":\"\").replace(/{quadkey}/g,Tt).replace(/{bbox-epsg-3857}/g,te)}isChildOf(S){let D=this.z-S.z;return D>0&&S.x===this.x>>D&&S.y===this.y>>D}getTilePoint(S){let D=Math.pow(2,this.z);return new u((S.x*D-this.x)*za,(S.y*D-this.y)*za)}toString(){return`${this.z}/${this.x}/${this.y}`}}class bC{constructor(S,D){this.wrap=S,this.canonical=D,this.key=$x(S,D.z,D.z,D.x,D.y)}}class Jv{constructor(S,D,j,te,ue){if(S<j)throw new Error(`overscaledZ should be >= z; overscaledZ = ${S}; z = ${j}`);this.overscaledZ=S,this.wrap=D,this.canonical=new hS(j,+te,+ue),this.key=$x(D,S,j,te,ue)}clone(){return new Jv(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(S){return this.overscaledZ===S.overscaledZ&&this.wrap===S.wrap&&this.canonical.equals(S.canonical)}scaledTo(S){if(S>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${S}; overscaledZ = ${this.overscaledZ}`);let D=this.canonical.z-S;return S>this.canonical.z?new Jv(S,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Jv(S,this.wrap,S,this.canonical.x>>D,this.canonical.y>>D)}calculateScaledKey(S,D){if(S>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${S}; overscaledZ = ${this.overscaledZ}`);let j=this.canonical.z-S;return S>this.canonical.z?$x(this.wrap*+D,S,this.canonical.z,this.canonical.x,this.canonical.y):$x(this.wrap*+D,S,S,this.canonical.x>>j,this.canonical.y>>j)}isChildOf(S){if(S.wrap!==this.wrap)return!1;let D=this.canonical.z-S.canonical.z;return S.overscaledZ===0||S.overscaledZ<this.overscaledZ&&S.canonical.x===this.canonical.x>>D&&S.canonical.y===this.canonical.y>>D}children(S){if(this.overscaledZ>=S)return[new Jv(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let D=this.canonical.z+1,j=2*this.canonical.x,te=2*this.canonical.y;return[new Jv(D,this.wrap,D,j,te),new Jv(D,this.wrap,D,j+1,te),new Jv(D,this.wrap,D,j,te+1),new Jv(D,this.wrap,D,j+1,te+1)]}isLessThan(S){return this.wrap<S.wrap||!(this.wrap>S.wrap)&&(this.overscaledZ<S.overscaledZ||!(this.overscaledZ>S.overscaledZ)&&(this.canonical.x<S.canonical.x||!(this.canonical.x>S.canonical.x)&&this.canonical.y<S.canonical.y))}wrapped(){return new Jv(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(S){return new Jv(this.overscaledZ,S,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new bC(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(S){return this.canonical.getTilePoint(new Jx(S.x-this.wrap,S.y))}}function $x(R,S,D,j,te){(R*=2)<0&&(R=-1*R-1);let ue=1<<D;return(ue*ue*R+ue*te+j).toString(36)+D.toString(36)+S.toString(36)}mi(\"CanonicalTileID\",hS),mi(\"OverscaledTileID\",Jv,{omit:[\"posMatrix\"]});class wC{constructor(S,D,j,te=1,ue=1,ve=1,De=0){if(this.uid=S,D.height!==D.width)throw new RangeError(\"DEM tiles must be square\");if(j&&![\"mapbox\",\"terrarium\",\"custom\"].includes(j))return void T(`\"${j}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=D.height;let Ze=this.dim=D.height-2;switch(this.data=new Uint32Array(D.data.buffer),j){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=te,this.greenFactor=ue,this.blueFactor=ve,this.baseShift=De;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let at=0;at<Ze;at++)this.data[this._idx(-1,at)]=this.data[this._idx(0,at)],this.data[this._idx(Ze,at)]=this.data[this._idx(Ze-1,at)],this.data[this._idx(at,-1)]=this.data[this._idx(at,0)],this.data[this._idx(at,Ze)]=this.data[this._idx(at,Ze-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(Ze,-1)]=this.data[this._idx(Ze-1,0)],this.data[this._idx(-1,Ze)]=this.data[this._idx(0,Ze-1)],this.data[this._idx(Ze,Ze)]=this.data[this._idx(Ze-1,Ze-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let at=0;at<Ze;at++)for(let Tt=0;Tt<Ze;Tt++){let Ft=this.get(at,Tt);Ft>this.max&&(this.max=Ft),Ft<this.min&&(this.min=Ft)}}get(S,D){let j=new Uint8Array(this.data.buffer),te=4*this._idx(S,D);return this.unpack(j[te],j[te+1],j[te+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(S,D){if(S<-1||S>=this.dim+1||D<-1||D>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(D+1)*this.stride+(S+1)}unpack(S,D,j){return S*this.redFactor+D*this.greenFactor+j*this.blueFactor-this.baseShift}getPixels(){return new Jn({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(S,D,j){if(this.dim!==S.dim)throw new Error(\"dem dimension mismatch\");let te=D*this.dim,ue=D*this.dim+this.dim,ve=j*this.dim,De=j*this.dim+this.dim;switch(D){case-1:te=ue-1;break;case 1:ue=te+1}switch(j){case-1:ve=De-1;break;case 1:De=ve+1}let Ze=-D*this.dim,at=-j*this.dim;for(let Tt=ve;Tt<De;Tt++)for(let Ft=te;Ft<ue;Ft++)this.data[this._idx(Ft,Tt)]=S.data[this._idx(Ft+Ze,Tt+at)]}}mi(\"DEMData\",wC);class TC{constructor(S){this._stringToNumber={},this._numberToString=[];for(let D=0;D<S.length;D++){let j=S[D];this._stringToNumber[j]=D,this._numberToString[D]=j}}encode(S){return this._stringToNumber[S]}decode(S){if(S>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${S} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[S]}}class dS{constructor(S,D,j,te,ue){this.type=\"Feature\",this._vectorTileFeature=S,S._z=D,S._x=j,S._y=te,this.properties=S.properties,this.id=ue}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(S){this._geometry=S}toJSON(){let S={geometry:this.geometry};for(let D in this)D!==\"_geometry\"&&D!==\"_vectorTileFeature\"&&(S[D]=this[D]);return S}}class cy{constructor(S,D){this.tileID=S,this.x=S.canonical.x,this.y=S.canonical.y,this.z=S.canonical.z,this.grid=new qi(za,16,0),this.grid3D=new qi(za,16,0),this.featureIndexArray=new As,this.promoteId=D}insert(S,D,j,te,ue,ve){let De=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(j,te,ue);let Ze=ve?this.grid3D:this.grid;for(let at=0;at<D.length;at++){let Tt=D[at],Ft=[1/0,1/0,-1/0,-1/0];for(let Qt=0;Qt<Tt.length;Qt++){let sr=Tt[Qt];Ft[0]=Math.min(Ft[0],sr.x),Ft[1]=Math.min(Ft[1],sr.y),Ft[2]=Math.max(Ft[2],sr.x),Ft[3]=Math.max(Ft[3],sr.y)}Ft[0]<za&&Ft[1]<za&&Ft[2]>=0&&Ft[3]>=0&&Ze.insert(De,Ft[0],Ft[1],Ft[2],Ft[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new ei.VectorTile(new tS(this.rawTileData)).layers,this.sourceLayerCoder=new TC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(S,D,j,te){this.loadVTLayers();let ue=S.params||{},ve=za/S.tileSize/S.scale,De=Pc(ue.filter),Ze=S.queryGeometry,at=S.queryPadding*ve,Tt=SC(Ze),Ft=this.grid.query(Tt.minX-at,Tt.minY-at,Tt.maxX+at,Tt.maxY+at),Qt=SC(S.cameraQueryGeometry),sr=this.grid3D.query(Qt.minX-at,Qt.minY-at,Qt.maxX+at,Qt.maxY+at,($r,ni,Di,pi)=>function(ki,Zi,ta,Va,Io){for(let Hn of ki)if(Zi<=Hn.x&&ta<=Hn.y&&Va>=Hn.x&&Io>=Hn.y)return!0;let La=[new u(Zi,ta),new u(Zi,Io),new u(Va,Io),new u(Va,ta)];if(ki.length>2){for(let Hn of La)if(On(ki,Hn))return!0}for(let Hn=0;Hn<ki.length-1;Hn++)if(Bn(ki[Hn],ki[Hn+1],La))return!0;return!1}(S.cameraQueryGeometry,$r-at,ni-at,Di+at,pi+at));for(let $r of sr)Ft.push($r);Ft.sort(G9);let Tr={},Pr;for(let $r=0;$r<Ft.length;$r++){let ni=Ft[$r];if(ni===Pr)continue;Pr=ni;let Di=this.featureIndexArray.get(ni),pi=null;this.loadMatchingFeature(Tr,Di.bucketIndex,Di.sourceLayerIndex,Di.featureIndex,De,ue.layers,ue.availableImages,D,j,te,(ki,Zi,ta)=>(pi||(pi=js(ki)),Zi.queryIntersectsFeature(Ze,ki,ta,pi,this.z,S.transform,ve,S.pixelPosMatrix)))}return Tr}loadMatchingFeature(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft){let Qt=this.bucketLayerIDs[D];if(ve&&!function($r,ni){for(let Di=0;Di<$r.length;Di++)if(ni.indexOf($r[Di])>=0)return!0;return!1}(ve,Qt))return;let sr=this.sourceLayerCoder.decode(j),Tr=this.vtLayers[sr].feature(te);if(ue.needGeometry){let $r=xl(Tr,!0);if(!ue.filter(new Ko(this.tileID.overscaledZ),$r,this.tileID.canonical))return}else if(!ue.filter(new Ko(this.tileID.overscaledZ),Tr))return;let Pr=this.getId(Tr,sr);for(let $r=0;$r<Qt.length;$r++){let ni=Qt[$r];if(ve&&ve.indexOf(ni)<0)continue;let Di=Ze[ni];if(!Di)continue;let pi={};Pr&&Tt&&(pi=Tt.getState(Di.sourceLayer||\"_geojsonTileLayer\",Pr));let ki=L({},at[ni]);ki.paint=AC(ki.paint,Di.paint,Tr,pi,De),ki.layout=AC(ki.layout,Di.layout,Tr,pi,De);let Zi=!Ft||Ft(Tr,Di,pi);if(!Zi)continue;let ta=new dS(Tr,this.z,this.x,this.y,Pr);ta.layer=ki;let Va=S[ni];Va===void 0&&(Va=S[ni]=[]),Va.push({featureIndex:te,feature:ta,intersectionZ:Zi})}}lookupSymbolFeatures(S,D,j,te,ue,ve,De,Ze){let at={};this.loadVTLayers();let Tt=Pc(ue);for(let Ft of S)this.loadMatchingFeature(at,j,te,Ft,Tt,ve,De,Ze,D);return at}hasLayer(S){for(let D of this.bucketLayerIDs)for(let j of D)if(S===j)return!0;return!1}getId(S,D){let j=S.id;return this.promoteId&&(j=S.properties[typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[D]],typeof j==\"boolean\"&&(j=Number(j))),j}}function AC(R,S,D,j,te){return C(R,(ue,ve)=>{let De=S instanceof Dc?S.get(ve):null;return De&&De.evaluate?De.evaluate(D,j,te):De})}function SC(R){let S=1/0,D=1/0,j=-1/0,te=-1/0;for(let ue of R)S=Math.min(S,ue.x),D=Math.min(D,ue.y),j=Math.max(j,ue.x),te=Math.max(te,ue.y);return{minX:S,minY:D,maxX:j,maxY:te}}function G9(R,S){return S-R}function MC(R,S,D,j,te){let ue=[];for(let ve=0;ve<R.length;ve++){let De=R[ve],Ze;for(let at=0;at<De.length-1;at++){let Tt=De[at],Ft=De[at+1];Tt.x<S&&Ft.x<S||(Tt.x<S?Tt=new u(S,Tt.y+(S-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round():Ft.x<S&&(Ft=new u(S,Tt.y+(S-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round()),Tt.y<D&&Ft.y<D||(Tt.y<D?Tt=new u(Tt.x+(D-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),D)._round():Ft.y<D&&(Ft=new u(Tt.x+(D-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),D)._round()),Tt.x>=j&&Ft.x>=j||(Tt.x>=j?Tt=new u(j,Tt.y+(j-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round():Ft.x>=j&&(Ft=new u(j,Tt.y+(j-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round()),Tt.y>=te&&Ft.y>=te||(Tt.y>=te?Tt=new u(Tt.x+(te-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),te)._round():Ft.y>=te&&(Ft=new u(Tt.x+(te-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),te)._round()),Ze&&Tt.equals(Ze[Ze.length-1])||(Ze=[Tt],ue.push(Ze)),Ze.push(Ft)))))}}return ue}mi(\"FeatureIndex\",cy,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class vg extends u{constructor(S,D,j,te){super(S,D),this.angle=j,te!==void 0&&(this.segment=te)}clone(){return new vg(this.x,this.y,this.angle,this.segment)}}function vS(R,S,D,j,te){if(S.segment===void 0||D===0)return!0;let ue=S,ve=S.segment+1,De=0;for(;De>-D/2;){if(ve--,ve<0)return!1;De-=R[ve].dist(ue),ue=R[ve]}De+=R[ve].dist(R[ve+1]),ve++;let Ze=[],at=0;for(;De<D/2;){let Tt=R[ve],Ft=R[ve+1];if(!Ft)return!1;let Qt=R[ve-1].angleTo(Tt)-Tt.angleTo(Ft);for(Qt=Math.abs((Qt+3*Math.PI)%(2*Math.PI)-Math.PI),Ze.push({distance:De,angleDelta:Qt}),at+=Qt;De-Ze[0].distance>j;)at-=Ze.shift().angleDelta;if(at>te)return!1;ve++,De+=Tt.dist(Ft)}return!0}function EC(R){let S=0;for(let D=0;D<R.length-1;D++)S+=R[D].dist(R[D+1]);return S}function kC(R,S,D){return R?.6*S*D:0}function CC(R,S){return Math.max(R?R.right-R.left:0,S?S.right-S.left:0)}function j9(R,S,D,j,te,ue){let ve=kC(D,te,ue),De=CC(D,j)*ue,Ze=0,at=EC(R)/2;for(let Tt=0;Tt<R.length-1;Tt++){let Ft=R[Tt],Qt=R[Tt+1],sr=Ft.dist(Qt);if(Ze+sr>at){let Tr=(at-Ze)/sr,Pr=Mo.number(Ft.x,Qt.x,Tr),$r=Mo.number(Ft.y,Qt.y,Tr),ni=new vg(Pr,$r,Qt.angleTo(Ft),Tt);return ni._round(),!ve||vS(R,ni,De,ve,S)?ni:void 0}Ze+=sr}}function W9(R,S,D,j,te,ue,ve,De,Ze){let at=kC(j,ue,ve),Tt=CC(j,te),Ft=Tt*ve,Qt=R[0].x===0||R[0].x===Ze||R[0].y===0||R[0].y===Ze;return S-Ft<S/4&&(S=Ft+S/4),LC(R,Qt?S/2*De%S:(Tt/2+2*ue)*ve*De%S,S,at,D,Ft,Qt,!1,Ze)}function LC(R,S,D,j,te,ue,ve,De,Ze){let at=ue/2,Tt=EC(R),Ft=0,Qt=S-D,sr=[];for(let Tr=0;Tr<R.length-1;Tr++){let Pr=R[Tr],$r=R[Tr+1],ni=Pr.dist($r),Di=$r.angleTo(Pr);for(;Qt+D<Ft+ni;){Qt+=D;let pi=(Qt-Ft)/ni,ki=Mo.number(Pr.x,$r.x,pi),Zi=Mo.number(Pr.y,$r.y,pi);if(ki>=0&&ki<Ze&&Zi>=0&&Zi<Ze&&Qt-at>=0&&Qt+at<=Tt){let ta=new vg(ki,Zi,Di,Tr);ta._round(),j&&!vS(R,ta,ue,j,te)||sr.push(ta)}}Ft+=ni}return De||sr.length||ve||(sr=LC(R,Ft/2,D,j,te,ue,ve,!0,Ze)),sr}mi(\"Anchor\",vg);let C1=wd;function PC(R,S,D,j){let te=[],ue=R.image,ve=ue.pixelRatio,De=ue.paddedRect.w-2*C1,Ze=ue.paddedRect.h-2*C1,at={x1:R.left,y1:R.top,x2:R.right,y2:R.bottom},Tt=ue.stretchX||[[0,De]],Ft=ue.stretchY||[[0,Ze]],Qt=(Tn,bo)=>Tn+bo[1]-bo[0],sr=Tt.reduce(Qt,0),Tr=Ft.reduce(Qt,0),Pr=De-sr,$r=Ze-Tr,ni=0,Di=sr,pi=0,ki=Tr,Zi=0,ta=Pr,Va=0,Io=$r;if(ue.content&&j){let Tn=ue.content,bo=Tn[2]-Tn[0],Ya=Tn[3]-Tn[1];(ue.textFitWidth||ue.textFitHeight)&&(at=vC(R)),ni=pg(Tt,0,Tn[0]),pi=pg(Ft,0,Tn[1]),Di=pg(Tt,Tn[0],Tn[2]),ki=pg(Ft,Tn[1],Tn[3]),Zi=Tn[0]-ni,Va=Tn[1]-pi,ta=bo-Di,Io=Ya-ki}let La=at.x1,Hn=at.y1,lo=at.x2-La,$a=at.y2-Hn,Xa=(Tn,bo,Ya,Uo)=>{let wu=qw(Tn.stretch-ni,Di,lo,La),hu=L1(Tn.fixed-Zi,ta,Tn.stretch,sr),uh=qw(bo.stretch-pi,ki,$a,Hn),$v=L1(bo.fixed-Va,Io,bo.stretch,Tr),td=qw(Ya.stretch-ni,Di,lo,La),ch=L1(Ya.fixed-Zi,ta,Ya.stretch,sr),Ud=qw(Uo.stretch-pi,ki,$a,Hn),Vd=L1(Uo.fixed-Va,Io,Uo.stretch,Tr),Hd=new u(wu,uh),rf=new u(td,uh),fh=new u(td,Ud),Td=new u(wu,Ud),rd=new u(hu/ve,$v/ve),Dh=new u(ch/ve,Vd/ve),xf=S*Math.PI/180;if(xf){let Cl=Math.sin(xf),qu=Math.cos(xf),Tu=[qu,-Cl,Cl,qu];Hd._matMult(Tu),rf._matMult(Tu),Td._matMult(Tu),fh._matMult(Tu)}let Iv=Tn.stretch+Tn.fixed,lv=bo.stretch+bo.fixed;return{tl:Hd,tr:rf,bl:Td,br:fh,tex:{x:ue.paddedRect.x+C1+Iv,y:ue.paddedRect.y+C1+lv,w:Ya.stretch+Ya.fixed-Iv,h:Uo.stretch+Uo.fixed-lv},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:rd,pixelOffsetBR:Dh,minFontScaleX:ta/ve/lo,minFontScaleY:Io/ve/$a,isSDF:D}};if(j&&(ue.stretchX||ue.stretchY)){let Tn=IC(Tt,Pr,sr),bo=IC(Ft,$r,Tr);for(let Ya=0;Ya<Tn.length-1;Ya++){let Uo=Tn[Ya],wu=Tn[Ya+1];for(let hu=0;hu<bo.length-1;hu++)te.push(Xa(Uo,bo[hu],wu,bo[hu+1]))}}else te.push(Xa({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:De+1},{fixed:0,stretch:Ze+1}));return te}function pg(R,S,D){let j=0;for(let te of R)j+=Math.max(S,Math.min(D,te[1]))-Math.max(S,Math.min(D,te[0]));return j}function IC(R,S,D){let j=[{fixed:-C1,stretch:0}];for(let[te,ue]of R){let ve=j[j.length-1];j.push({fixed:te-ve.stretch,stretch:ve.stretch}),j.push({fixed:te-ve.stretch,stretch:ve.stretch+(ue-te)})}return j.push({fixed:S+C1,stretch:D}),j}function qw(R,S,D,j){return R/S*D+j}function L1(R,S,D,j){return R-S*D/j}class cm{constructor(S,D,j,te,ue,ve,De,Ze,at,Tt){var Ft;if(this.boxStartIndex=S.length,at){let Qt=ve.top,sr=ve.bottom,Tr=ve.collisionPadding;Tr&&(Qt-=Tr[1],sr+=Tr[3]);let Pr=sr-Qt;Pr>0&&(Pr=Math.max(10,Pr),this.circleDiameter=Pr)}else{let Qt=!((Ft=ve.image)===null||Ft===void 0)&&Ft.content&&(ve.image.textFitWidth||ve.image.textFitHeight)?vC(ve):{x1:ve.left,y1:ve.top,x2:ve.right,y2:ve.bottom};Qt.y1=Qt.y1*De-Ze[0],Qt.y2=Qt.y2*De+Ze[2],Qt.x1=Qt.x1*De-Ze[3],Qt.x2=Qt.x2*De+Ze[1];let sr=ve.collisionPadding;if(sr&&(Qt.x1-=sr[0]*De,Qt.y1-=sr[1]*De,Qt.x2+=sr[2]*De,Qt.y2+=sr[3]*De),Tt){let Tr=new u(Qt.x1,Qt.y1),Pr=new u(Qt.x2,Qt.y1),$r=new u(Qt.x1,Qt.y2),ni=new u(Qt.x2,Qt.y2),Di=Tt*Math.PI/180;Tr._rotate(Di),Pr._rotate(Di),$r._rotate(Di),ni._rotate(Di),Qt.x1=Math.min(Tr.x,Pr.x,$r.x,ni.x),Qt.x2=Math.max(Tr.x,Pr.x,$r.x,ni.x),Qt.y1=Math.min(Tr.y,Pr.y,$r.y,ni.y),Qt.y2=Math.max(Tr.y,Pr.y,$r.y,ni.y)}S.emplaceBack(D.x,D.y,Qt.x1,Qt.y1,Qt.x2,Qt.y2,j,te,ue)}this.boxEndIndex=S.length}}class Hp{constructor(S=[],D=(j,te)=>j<te?-1:j>te?1:0){if(this.data=S,this.length=this.data.length,this.compare=D,this.length>0)for(let j=(this.length>>1)-1;j>=0;j--)this._down(j)}push(S){this.data.push(S),this._up(this.length++)}pop(){if(this.length===0)return;let S=this.data[0],D=this.data.pop();return--this.length>0&&(this.data[0]=D,this._down(0)),S}peek(){return this.data[0]}_up(S){let{data:D,compare:j}=this,te=D[S];for(;S>0;){let ue=S-1>>1,ve=D[ue];if(j(te,ve)>=0)break;D[S]=ve,S=ue}D[S]=te}_down(S){let{data:D,compare:j}=this,te=this.length>>1,ue=D[S];for(;S<te;){let ve=1+(S<<1),De=ve+1;if(De<this.length&&j(D[De],D[ve])<0&&(ve=De),j(D[ve],ue)>=0)break;D[S]=D[ve],S=ve}D[S]=ue}}function Z9(R,S=1,D=!1){let j=1/0,te=1/0,ue=-1/0,ve=-1/0,De=R[0];for(let sr=0;sr<De.length;sr++){let Tr=De[sr];(!sr||Tr.x<j)&&(j=Tr.x),(!sr||Tr.y<te)&&(te=Tr.y),(!sr||Tr.x>ue)&&(ue=Tr.x),(!sr||Tr.y>ve)&&(ve=Tr.y)}let Ze=Math.min(ue-j,ve-te),at=Ze/2,Tt=new Hp([],X9);if(Ze===0)return new u(j,te);for(let sr=j;sr<ue;sr+=Ze)for(let Tr=te;Tr<ve;Tr+=Ze)Tt.push(new P1(sr+at,Tr+at,at,R));let Ft=function(sr){let Tr=0,Pr=0,$r=0,ni=sr[0];for(let Di=0,pi=ni.length,ki=pi-1;Di<pi;ki=Di++){let Zi=ni[Di],ta=ni[ki],Va=Zi.x*ta.y-ta.x*Zi.y;Pr+=(Zi.x+ta.x)*Va,$r+=(Zi.y+ta.y)*Va,Tr+=3*Va}return new P1(Pr/Tr,$r/Tr,0,sr)}(R),Qt=Tt.length;for(;Tt.length;){let sr=Tt.pop();(sr.d>Ft.d||!Ft.d)&&(Ft=sr,D&&console.log(\"found best %d after %d probes\",Math.round(1e4*sr.d)/1e4,Qt)),sr.max-Ft.d<=S||(at=sr.h/2,Tt.push(new P1(sr.p.x-at,sr.p.y-at,at,R)),Tt.push(new P1(sr.p.x+at,sr.p.y-at,at,R)),Tt.push(new P1(sr.p.x-at,sr.p.y+at,at,R)),Tt.push(new P1(sr.p.x+at,sr.p.y+at,at,R)),Qt+=4)}return D&&(console.log(`num probes: ${Qt}`),console.log(`best distance: ${Ft.d}`)),Ft.p}function X9(R,S){return S.max-R.max}function P1(R,S,D,j){this.p=new u(R,S),this.h=D,this.d=function(te,ue){let ve=!1,De=1/0;for(let Ze=0;Ze<ue.length;Ze++){let at=ue[Ze];for(let Tt=0,Ft=at.length,Qt=Ft-1;Tt<Ft;Qt=Tt++){let sr=at[Tt],Tr=at[Qt];sr.y>te.y!=Tr.y>te.y&&te.x<(Tr.x-sr.x)*(te.y-sr.y)/(Tr.y-sr.y)+sr.x&&(ve=!ve),De=Math.min(De,Bi(te,sr,Tr))}}return(ve?1:-1)*Math.sqrt(De)}(this.p,j),this.max=this.d+this.h*Math.SQRT2}var ed;i.aq=void 0,(ed=i.aq||(i.aq={}))[ed.center=1]=\"center\",ed[ed.left=2]=\"left\",ed[ed.right=3]=\"right\",ed[ed.top=4]=\"top\",ed[ed.bottom=5]=\"bottom\",ed[ed[\"top-left\"]=6]=\"top-left\",ed[ed[\"top-right\"]=7]=\"top-right\",ed[ed[\"bottom-left\"]=8]=\"bottom-left\",ed[ed[\"bottom-right\"]=9]=\"bottom-right\";let fm=7,fy=Number.POSITIVE_INFINITY;function pS(R,S){return S[1]!==fy?function(D,j,te){let ue=0,ve=0;switch(j=Math.abs(j),te=Math.abs(te),D){case\"top-right\":case\"top-left\":case\"top\":ve=te-fm;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":ve=-te+fm}switch(D){case\"top-right\":case\"bottom-right\":case\"right\":ue=-j;break;case\"top-left\":case\"bottom-left\":case\"left\":ue=j}return[ue,ve]}(R,S[0],S[1]):function(D,j){let te=0,ue=0;j<0&&(j=0);let ve=j/Math.SQRT2;switch(D){case\"top-right\":case\"top-left\":ue=ve-fm;break;case\"bottom-right\":case\"bottom-left\":ue=-ve+fm;break;case\"bottom\":ue=-j+fm;break;case\"top\":ue=j-fm}switch(D){case\"top-right\":case\"bottom-right\":te=-ve;break;case\"top-left\":case\"bottom-left\":te=ve;break;case\"left\":te=j;break;case\"right\":te=-j}return[te,ue]}(R,S[0])}function RC(R,S,D){var j;let te=R.layout,ue=(j=te.get(\"text-variable-anchor-offset\"))===null||j===void 0?void 0:j.evaluate(S,{},D);if(ue){let De=ue.values,Ze=[];for(let at=0;at<De.length;at+=2){let Tt=Ze[at]=De[at],Ft=De[at+1].map(Qt=>Qt*kl);Tt.startsWith(\"top\")?Ft[1]-=fm:Tt.startsWith(\"bottom\")&&(Ft[1]+=fm),Ze[at+1]=Ft}return new Si(Ze)}let ve=te.get(\"text-variable-anchor\");if(ve){let De;De=R._unevaluatedLayout.getValue(\"text-radial-offset\")!==void 0?[te.get(\"text-radial-offset\").evaluate(S,{},D)*kl,fy]:te.get(\"text-offset\").evaluate(S,{},D).map(at=>at*kl);let Ze=[];for(let at of ve)Ze.push(at,pS(at,De));return new Si(Ze)}return null}function gS(R){switch(R){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function Y9(R,S,D,j,te,ue,ve,De,Ze,at,Tt){let Ft=ue.textMaxSize.evaluate(S,{});Ft===void 0&&(Ft=ve);let Qt=R.layers[0].layout,sr=Qt.get(\"icon-offset\").evaluate(S,{},Tt),Tr=zC(D.horizontal),Pr=ve/24,$r=R.tilePixelRatio*Pr,ni=R.tilePixelRatio*Ft/24,Di=R.tilePixelRatio*De,pi=R.tilePixelRatio*Qt.get(\"symbol-spacing\"),ki=Qt.get(\"text-padding\")*R.tilePixelRatio,Zi=function(Tn,bo,Ya,Uo=1){let wu=Tn.get(\"icon-padding\").evaluate(bo,{},Ya),hu=wu&&wu.values;return[hu[0]*Uo,hu[1]*Uo,hu[2]*Uo,hu[3]*Uo]}(Qt,S,Tt,R.tilePixelRatio),ta=Qt.get(\"text-max-angle\")/180*Math.PI,Va=Qt.get(\"text-rotation-alignment\")!==\"viewport\"&&Qt.get(\"symbol-placement\")!==\"point\",Io=Qt.get(\"icon-rotation-alignment\")===\"map\"&&Qt.get(\"symbol-placement\")!==\"point\",La=Qt.get(\"symbol-placement\"),Hn=pi/2,lo=Qt.get(\"icon-text-fit\"),$a;j&&lo!==\"none\"&&(R.allowVerticalPlacement&&D.vertical&&($a=pC(j,D.vertical,lo,Qt.get(\"icon-text-fit-padding\"),sr,Pr)),Tr&&(j=pC(j,Tr,lo,Qt.get(\"icon-text-fit-padding\"),sr,Pr)));let Xa=(Tn,bo)=>{bo.x<0||bo.x>=za||bo.y<0||bo.y>=za||function(Ya,Uo,wu,hu,uh,$v,td,ch,Ud,Vd,Hd,rf,fh,Td,rd,Dh,xf,Iv,lv,Cl,qu,Tu,Rv,qc,I1){let p0=Ya.addToLineVertexArray(Uo,wu),Gp,Qv,oc,If,ep=0,gg=0,uv=0,R1=0,bS=-1,Uw=-1,g0={},hy=ui(\"\");if(Ya.allowVerticalPlacement&&hu.vertical){let Ad=ch.layout.get(\"text-rotate\").evaluate(qu,{},qc)+90;oc=new 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xe={},Se={featureIndex:Le,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:Ve},lt=Ye.familiesBySource[this.source];for(let _n in lt){let $i=Ne.layers[_n];if(!$i)continue;$i.version===1&&i.w(`Vector tile source \"${this.source}\" layer \"${_n}\" does not use vector tile spec v2 and therefore may have some rendering errors.`);let zn=ht.encode(_n),Wn=[];for(let It=0;It<$i.length;It++){let ft=$i.feature(It),jt=Le.getId(ft,_n);Wn.push({feature:ft,id:jt,index:It,sourceLayerIndex:zn})}for(let It of lt[_n]){let ft=It[0];ft.source!==this.source&&i.w(`layer.source = ${ft.source} does not equal this.source = 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Ye=Ne.uid;if(!this.loaded||!this.loaded[Ye])throw new Error(\"Should not be trying to reload a tile that was never loaded or has been removed\");let Ve=this.loaded[Ye];if(Ve.showCollisionBoxes=Ne.showCollisionBoxes,Ve.status===\"parsing\"){let Xe=yield Ve.parse(Ve.vectorTile,this.layerIndex,this.availableImages,this.actor),ht;if(this.fetching[Ye]){let{rawTileData:Le,cacheControl:xe,resourceTiming:Se}=this.fetching[Ye];delete this.fetching[Ye],ht=i.e({rawTileData:Le.slice(0)},Xe,xe,Se)}else ht=Xe;return ht}if(Ve.status===\"done\"&&Ve.vectorTile)return Ve.parse(Ve.vectorTile,this.layerIndex,this.availableImages,this.actor)})}abortTile(Ne){return i._(this,void 0,void 0,function*(){let Ye=this.loading,Ve=Ne.uid;Ye&&Ye[Ve]&&Ye[Ve].abort&&(Ye[Ve].abort.abort(),delete Ye[Ve])})}removeTile(Ne){return i._(this,void 0,void 0,function*(){this.loaded&&this.loaded[Ne.uid]&&delete this.loaded[Ne.uid]})}}class c{constructor(){this.loaded={}}loadTile(Ne){return i._(this,void 0,void 0,function*(){let{uid:Ye,encoding:Ve,rawImageData:Xe,redFactor:ht,greenFactor:Le,blueFactor:xe,baseShift:Se}=Ne,lt=Xe.width+2,Gt=Xe.height+2,Vt=i.b(Xe)?new i.R({width:lt,height:Gt},yield i.bw(Xe,-1,-1,lt,Gt)):Xe,ar=new i.bx(Ye,Vt,Ve,ht,Le,xe,Se);return this.loaded=this.loaded||{},this.loaded[Ye]=ar,ar})}removeTile(Ne){let Ye=this.loaded,Ve=Ne.uid;Ye&&Ye[Ve]&&delete Ye[Ve]}}function f(ut,Ne){if(ut.length!==0){h(ut[0],Ne);for(var Ye=1;Ye<ut.length;Ye++)h(ut[Ye],!Ne)}}function h(ut,Ne){for(var Ye=0,Ve=0,Xe=0,ht=ut.length,Le=ht-1;Xe<ht;Le=Xe++){var xe=(ut[Xe][0]-ut[Le][0])*(ut[Le][1]+ut[Xe][1]),Se=Ye+xe;Ve+=Math.abs(Ye)>=Math.abs(xe)?Ye-Se+xe:xe-Se+Ye,Ye=Se}Ye+Ve>=0!=!!Ne&&ut.reverse()}var d=i.by(function ut(Ne,Ye){var Ve,Xe=Ne&&Ne.type;if(Xe===\"FeatureCollection\")for(Ve=0;Ve<Ne.features.length;Ve++)ut(Ne.features[Ve],Ye);else if(Xe===\"GeometryCollection\")for(Ve=0;Ve<Ne.geometries.length;Ve++)ut(Ne.geometries[Ve],Ye);else if(Xe===\"Feature\")ut(Ne.geometry,Ye);else if(Xe===\"Polygon\")f(Ne.coordinates,Ye);else if(Xe===\"MultiPolygon\")for(Ve=0;Ve<Ne.coordinates.length;Ve++)f(Ne.coordinates[Ve],Ye);return Ne});let v=i.bt.VectorTileFeature.prototype.toGeoJSON;var x={exports:{}},b=i.bz,g=i.bt.VectorTileFeature,E=k;function k(ut,Ne){this.options=Ne||{},this.features=ut,this.length=ut.length}function A(ut,Ne){this.id=typeof ut.id==\"number\"?ut.id:void 0,this.type=ut.type,this.rawGeometry=ut.type===1?[ut.geometry]:ut.geometry,this.properties=ut.tags,this.extent=Ne||4096}k.prototype.feature=function(ut){return new A(this.features[ut],this.options.extent)},A.prototype.loadGeometry=function(){var ut=this.rawGeometry;this.geometry=[];for(var Ne=0;Ne<ut.length;Ne++){for(var Ye=ut[Ne],Ve=[],Xe=0;Xe<Ye.length;Xe++)Ve.push(new b(Ye[Xe][0],Ye[Xe][1]));this.geometry.push(Ve)}return this.geometry},A.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var ut=this.geometry,Ne=1/0,Ye=-1/0,Ve=1/0,Xe=-1/0,ht=0;ht<ut.length;ht++)for(var Le=ut[ht],xe=0;xe<Le.length;xe++){var Se=Le[xe];Ne=Math.min(Ne,Se.x),Ye=Math.max(Ye,Se.x),Ve=Math.min(Ve,Se.y),Xe=Math.max(Xe,Se.y)}return[Ne,Ve,Ye,Xe]},A.prototype.toGeoJSON=g.prototype.toGeoJSON;var L=i.bA,_=E;function C(ut){var Ne=new L;return function(Ye,Ve){for(var Xe in Ye.layers)Ve.writeMessage(3,M,Ye.layers[Xe])}(ut,Ne),Ne.finish()}function M(ut,Ne){var Ye;Ne.writeVarintField(15,ut.version||1),Ne.writeStringField(1,ut.name||\"\"),Ne.writeVarintField(5,ut.extent||4096);var Ve={keys:[],values:[],keycache:{},valuecache:{}};for(Ye=0;Ye<ut.length;Ye++)Ve.feature=ut.feature(Ye),Ne.writeMessage(2,p,Ve);var Xe=Ve.keys;for(Ye=0;Ye<Xe.length;Ye++)Ne.writeStringField(3,Xe[Ye]);var ht=Ve.values;for(Ye=0;Ye<ht.length;Ye++)Ne.writeMessage(4,V,ht[Ye])}function p(ut,Ne){var Ye=ut.feature;Ye.id!==void 0&&Ne.writeVarintField(1,Ye.id),Ne.writeMessage(2,P,ut),Ne.writeVarintField(3,Ye.type),Ne.writeMessage(4,q,Ye)}function P(ut,Ne){var Ye=ut.feature,Ve=ut.keys,Xe=ut.values,ht=ut.keycache,Le=ut.valuecache;for(var xe in Ye.properties){var Se=Ye.properties[xe],lt=ht[xe];if(Se!==null){lt===void 0&&(Ve.push(xe),ht[xe]=lt=Ve.length-1),Ne.writeVarint(lt);var Gt=typeof Se;Gt!==\"string\"&&Gt!==\"boolean\"&&Gt!==\"number\"&&(Se=JSON.stringify(Se));var Vt=Gt+\":\"+Se,ar=Le[Vt];ar===void 0&&(Xe.push(Se),Le[Vt]=ar=Xe.length-1),Ne.writeVarint(ar)}}}function T(ut,Ne){return(Ne<<3)+(7&ut)}function F(ut){return ut<<1^ut>>31}function q(ut,Ne){for(var Ye=ut.loadGeometry(),Ve=ut.type,Xe=0,ht=0,Le=Ye.length,xe=0;xe<Le;xe++){var Se=Ye[xe],lt=1;Ve===1&&(lt=Se.length),Ne.writeVarint(T(1,lt));for(var Gt=Ve===3?Se.length-1:Se.length,Vt=0;Vt<Gt;Vt++){Vt===1&&Ve!==1&&Ne.writeVarint(T(2,Gt-1));var ar=Se[Vt].x-Xe,Qr=Se[Vt].y-ht;Ne.writeVarint(F(ar)),Ne.writeVarint(F(Qr)),Xe+=ar,ht+=Qr}Ve===3&&Ne.writeVarint(T(7,1))}}function V(ut,Ne){var Ye=typeof ut;Ye===\"string\"?Ne.writeStringField(1,ut):Ye===\"boolean\"?Ne.writeBooleanField(7,ut):Ye===\"number\"&&(ut%1!=0?Ne.writeDoubleField(3,ut):ut<0?Ne.writeSVarintField(6,ut):Ne.writeVarintField(5,ut))}x.exports=C,x.exports.fromVectorTileJs=C,x.exports.fromGeojsonVt=function(ut,Ne){Ne=Ne||{};var Ye={};for(var Ve in ut)Ye[Ve]=new _(ut[Ve].features,Ne),Ye[Ve].name=Ve,Ye[Ve].version=Ne.version,Ye[Ve].extent=Ne.extent;return C({layers:Ye})},x.exports.GeoJSONWrapper=_;var H=i.by(x.exports);let X={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:ut=>ut},G=Math.fround||(N=new Float32Array(1),ut=>(N[0]=+ut,N[0]));var N;let W=3,re=5,ae=6;class _e{constructor(Ne){this.options=Object.assign(Object.create(X),Ne),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Ne){let{log:Ye,minZoom:Ve,maxZoom:Xe}=this.options;Ye&&console.time(\"total time\");let ht=`prepare ${Ne.length} points`;Ye&&console.time(ht),this.points=Ne;let Le=[];for(let Se=0;Se<Ne.length;Se++){let lt=Ne[Se];if(!lt.geometry)continue;let[Gt,Vt]=lt.geometry.coordinates,ar=G(ge(Gt)),Qr=G(ie(Vt));Le.push(ar,Qr,1/0,Se,-1,1),this.options.reduce&&Le.push(0)}let xe=this.trees[Xe+1]=this._createTree(Le);Ye&&console.timeEnd(ht);for(let Se=Xe;Se>=Ve;Se--){let lt=+Date.now();xe=this.trees[Se]=this._createTree(this._cluster(xe,Se)),Ye&&console.log(\"z%d: %d clusters in %dms\",Se,xe.numItems,+Date.now()-lt)}return Ye&&console.timeEnd(\"total time\"),this}getClusters(Ne,Ye){let Ve=((Ne[0]+180)%360+360)%360-180,Xe=Math.max(-90,Math.min(90,Ne[1])),ht=Ne[2]===180?180:((Ne[2]+180)%360+360)%360-180,Le=Math.max(-90,Math.min(90,Ne[3]));if(Ne[2]-Ne[0]>=360)Ve=-180,ht=180;else if(Ve>ht){let Vt=this.getClusters([Ve,Xe,180,Le],Ye),ar=this.getClusters([-180,Xe,ht,Le],Ye);return Vt.concat(ar)}let xe=this.trees[this._limitZoom(Ye)],Se=xe.range(ge(Ve),ie(Le),ge(ht),ie(Xe)),lt=xe.data,Gt=[];for(let Vt of Se){let ar=this.stride*Vt;Gt.push(lt[ar+re]>1?Me(lt,ar,this.clusterProps):this.points[lt[ar+W]])}return Gt}getChildren(Ne){let Ye=this._getOriginId(Ne),Ve=this._getOriginZoom(Ne),Xe=\"No cluster with the specified id.\",ht=this.trees[Ve];if(!ht)throw new Error(Xe);let Le=ht.data;if(Ye*this.stride>=Le.length)throw new Error(Xe);let xe=this.options.radius/(this.options.extent*Math.pow(2,Ve-1)),Se=ht.within(Le[Ye*this.stride],Le[Ye*this.stride+1],xe),lt=[];for(let Gt of Se){let Vt=Gt*this.stride;Le[Vt+4]===Ne&&lt.push(Le[Vt+re]>1?Me(Le,Vt,this.clusterProps):this.points[Le[Vt+W]])}if(lt.length===0)throw new Error(Xe);return lt}getLeaves(Ne,Ye,Ve){let Xe=[];return this._appendLeaves(Xe,Ne,Ye=Ye||10,Ve=Ve||0,0),Xe}getTile(Ne,Ye,Ve){let Xe=this.trees[this._limitZoom(Ne)],ht=Math.pow(2,Ne),{extent:Le,radius:xe}=this.options,Se=xe/Le,lt=(Ve-Se)/ht,Gt=(Ve+1+Se)/ht,Vt={features:[]};return this._addTileFeatures(Xe.range((Ye-Se)/ht,lt,(Ye+1+Se)/ht,Gt),Xe.data,Ye,Ve,ht,Vt),Ye===0&&this._addTileFeatures(Xe.range(1-Se/ht,lt,1,Gt),Xe.data,ht,Ve,ht,Vt),Ye===ht-1&&this._addTileFeatures(Xe.range(0,lt,Se/ht,Gt),Xe.data,-1,Ve,ht,Vt),Vt.features.length?Vt:null}getClusterExpansionZoom(Ne){let Ye=this._getOriginZoom(Ne)-1;for(;Ye<=this.options.maxZoom;){let Ve=this.getChildren(Ne);if(Ye++,Ve.length!==1)break;Ne=Ve[0].properties.cluster_id}return Ye}_appendLeaves(Ne,Ye,Ve,Xe,ht){let Le=this.getChildren(Ye);for(let xe of Le){let Se=xe.properties;if(Se&&Se.cluster?ht+Se.point_count<=Xe?ht+=Se.point_count:ht=this._appendLeaves(Ne,Se.cluster_id,Ve,Xe,ht):ht<Xe?ht++:Ne.push(xe),Ne.length===Ve)break}return ht}_createTree(Ne){let Ye=new i.av(Ne.length/this.stride|0,this.options.nodeSize,Float32Array);for(let Ve=0;Ve<Ne.length;Ve+=this.stride)Ye.add(Ne[Ve],Ne[Ve+1]);return Ye.finish(),Ye.data=Ne,Ye}_addTileFeatures(Ne,Ye,Ve,Xe,ht,Le){for(let xe of Ne){let Se=xe*this.stride,lt=Ye[Se+re]>1,Gt,Vt,ar;if(lt)Gt=ke(Ye,Se,this.clusterProps),Vt=Ye[Se],ar=Ye[Se+1];else{let jr=this.points[Ye[Se+W]];Gt=jr.properties;let[ri,bi]=jr.geometry.coordinates;Vt=ge(ri),ar=ie(bi)}let Qr={type:1,geometry:[[Math.round(this.options.extent*(Vt*ht-Ve)),Math.round(this.options.extent*(ar*ht-Xe))]],tags:Gt},ai;ai=lt||this.options.generateId?Ye[Se+W]:this.points[Ye[Se+W]].id,ai!==void 0&&(Qr.id=ai),Le.features.push(Qr)}}_limitZoom(Ne){return Math.max(this.options.minZoom,Math.min(Math.floor(+Ne),this.options.maxZoom+1))}_cluster(Ne,Ye){let{radius:Ve,extent:Xe,reduce:ht,minPoints:Le}=this.options,xe=Ve/(Xe*Math.pow(2,Ye)),Se=Ne.data,lt=[],Gt=this.stride;for(let Vt=0;Vt<Se.length;Vt+=Gt){if(Se[Vt+2]<=Ye)continue;Se[Vt+2]=Ye;let ar=Se[Vt],Qr=Se[Vt+1],ai=Ne.within(Se[Vt],Se[Vt+1],xe),jr=Se[Vt+re],ri=jr;for(let bi of ai){let nn=bi*Gt;Se[nn+2]>Ye&&(ri+=Se[nn+re])}if(ri>jr&&ri>=Le){let bi,nn=ar*jr,Wi=Qr*jr,Ni=-1,_n=((Vt/Gt|0)<<5)+(Ye+1)+this.points.length;for(let $i of ai){let zn=$i*Gt;if(Se[zn+2]<=Ye)continue;Se[zn+2]=Ye;let Wn=Se[zn+re];nn+=Se[zn]*Wn,Wi+=Se[zn+1]*Wn,Se[zn+4]=_n,ht&&(bi||(bi=this._map(Se,Vt,!0),Ni=this.clusterProps.length,this.clusterProps.push(bi)),ht(bi,this._map(Se,zn)))}Se[Vt+4]=_n,lt.push(nn/ri,Wi/ri,1/0,_n,-1,ri),ht&&lt.push(Ni)}else{for(let bi=0;bi<Gt;bi++)lt.push(Se[Vt+bi]);if(ri>1)for(let bi of ai){let nn=bi*Gt;if(!(Se[nn+2]<=Ye)){Se[nn+2]=Ye;for(let Wi=0;Wi<Gt;Wi++)lt.push(Se[nn+Wi])}}}}return lt}_getOriginId(Ne){return Ne-this.points.length>>5}_getOriginZoom(Ne){return(Ne-this.points.length)%32}_map(Ne,Ye,Ve){if(Ne[Ye+re]>1){let Le=this.clusterProps[Ne[Ye+ae]];return Ve?Object.assign({},Le):Le}let Xe=this.points[Ne[Ye+W]].properties,ht=this.options.map(Xe);return Ve&&ht===Xe?Object.assign({},ht):ht}}function Me(ut,Ne,Ye){return{type:\"Feature\",id:ut[Ne+W],properties:ke(ut,Ne,Ye),geometry:{type:\"Point\",coordinates:[(Ve=ut[Ne],360*(Ve-.5)),Te(ut[Ne+1])]}};var Ve}function ke(ut,Ne,Ye){let Ve=ut[Ne+re],Xe=Ve>=1e4?`${Math.round(Ve/1e3)}k`:Ve>=1e3?Math.round(Ve/100)/10+\"k\":Ve,ht=ut[Ne+ae],Le=ht===-1?{}:Object.assign({},Ye[ht]);return Object.assign(Le,{cluster:!0,cluster_id:ut[Ne+W],point_count:Ve,point_count_abbreviated:Xe})}function ge(ut){return ut/360+.5}function ie(ut){let Ne=Math.sin(ut*Math.PI/180),Ye=.5-.25*Math.log((1+Ne)/(1-Ne))/Math.PI;return Ye<0?0:Ye>1?1:Ye}function Te(ut){let Ne=(180-360*ut)*Math.PI/180;return 360*Math.atan(Math.exp(Ne))/Math.PI-90}function Ee(ut,Ne,Ye,Ve){let Xe=Ve,ht=Ne+(Ye-Ne>>1),Le,xe=Ye-Ne,Se=ut[Ne],lt=ut[Ne+1],Gt=ut[Ye],Vt=ut[Ye+1];for(let ar=Ne+3;ar<Ye;ar+=3){let Qr=Ae(ut[ar],ut[ar+1],Se,lt,Gt,Vt);if(Qr>Xe)Le=ar,Xe=Qr;else if(Qr===Xe){let ai=Math.abs(ar-ht);ai<xe&&(Le=ar,xe=ai)}}Xe>Ve&&(Le-Ne>3&&Ee(ut,Ne,Le,Ve),ut[Le+2]=Xe,Ye-Le>3&&Ee(ut,Le,Ye,Ve))}function Ae(ut,Ne,Ye,Ve,Xe,ht){let Le=Xe-Ye,xe=ht-Ve;if(Le!==0||xe!==0){let Se=((ut-Ye)*Le+(Ne-Ve)*xe)/(Le*Le+xe*xe);Se>1?(Ye=Xe,Ve=ht):Se>0&&(Ye+=Le*Se,Ve+=xe*Se)}return Le=ut-Ye,xe=Ne-Ve,Le*Le+xe*xe}function ze(ut,Ne,Ye,Ve){let Xe={id:ut==null?null:ut,type:Ne,geometry:Ye,tags:Ve,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};if(Ne===\"Point\"||Ne===\"MultiPoint\"||Ne===\"LineString\")Ce(Xe,Ye);else if(Ne===\"Polygon\")Ce(Xe,Ye[0]);else if(Ne===\"MultiLineString\")for(let ht of Ye)Ce(Xe,ht);else if(Ne===\"MultiPolygon\")for(let ht of Ye)Ce(Xe,ht[0]);return Xe}function Ce(ut,Ne){for(let Ye=0;Ye<Ne.length;Ye+=3)ut.minX=Math.min(ut.minX,Ne[Ye]),ut.minY=Math.min(ut.minY,Ne[Ye+1]),ut.maxX=Math.max(ut.maxX,Ne[Ye]),ut.maxY=Math.max(ut.maxY,Ne[Ye+1])}function me(ut,Ne,Ye,Ve){if(!Ne.geometry)return;let Xe=Ne.geometry.coordinates;if(Xe&&Xe.length===0)return;let ht=Ne.geometry.type,Le=Math.pow(Ye.tolerance/((1<<Ye.maxZoom)*Ye.extent),2),xe=[],Se=Ne.id;if(Ye.promoteId?Se=Ne.properties[Ye.promoteId]:Ye.generateId&&(Se=Ve||0),ht===\"Point\")Re(Xe,xe);else if(ht===\"MultiPoint\")for(let lt of Xe)Re(lt,xe);else if(ht===\"LineString\")ce(Xe,xe,Le,!1);else if(ht===\"MultiLineString\"){if(Ye.lineMetrics){for(let lt of Xe)xe=[],ce(lt,xe,Le,!1),ut.push(ze(Se,\"LineString\",xe,Ne.properties));return}Ge(Xe,xe,Le,!1)}else if(ht===\"Polygon\")Ge(Xe,xe,Le,!0);else{if(ht!==\"MultiPolygon\"){if(ht===\"GeometryCollection\"){for(let lt of Ne.geometry.geometries)me(ut,{id:Se,geometry:lt,properties:Ne.properties},Ye,Ve);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(let lt of Xe){let Gt=[];Ge(lt,Gt,Le,!0),xe.push(Gt)}}ut.push(ze(Se,ht,xe,Ne.properties))}function Re(ut,Ne){Ne.push(nt(ut[0]),ct(ut[1]),0)}function ce(ut,Ne,Ye,Ve){let Xe,ht,Le=0;for(let Se=0;Se<ut.length;Se++){let lt=nt(ut[Se][0]),Gt=ct(ut[Se][1]);Ne.push(lt,Gt,0),Se>0&&(Le+=Ve?(Xe*Gt-lt*ht)/2:Math.sqrt(Math.pow(lt-Xe,2)+Math.pow(Gt-ht,2))),Xe=lt,ht=Gt}let xe=Ne.length-3;Ne[2]=1,Ee(Ne,0,xe,Ye),Ne[xe+2]=1,Ne.size=Math.abs(Le),Ne.start=0,Ne.end=Ne.size}function Ge(ut,Ne,Ye,Ve){for(let Xe=0;Xe<ut.length;Xe++){let ht=[];ce(ut[Xe],ht,Ye,Ve),Ne.push(ht)}}function nt(ut){return ut/360+.5}function ct(ut){let Ne=Math.sin(ut*Math.PI/180),Ye=.5-.25*Math.log((1+Ne)/(1-Ne))/Math.PI;return Ye<0?0:Ye>1?1:Ye}function qt(ut,Ne,Ye,Ve,Xe,ht,Le,xe){if(Ve/=Ne,ht>=(Ye/=Ne)&&Le<Ve)return ut;if(Le<Ye||ht>=Ve)return null;let Se=[];for(let lt of ut){let Gt=lt.geometry,Vt=lt.type,ar=Xe===0?lt.minX:lt.minY,Qr=Xe===0?lt.maxX:lt.maxY;if(ar>=Ye&&Qr<Ve){Se.push(lt);continue}if(Qr<Ye||ar>=Ve)continue;let ai=[];if(Vt===\"Point\"||Vt===\"MultiPoint\")rt(Gt,ai,Ye,Ve,Xe);else if(Vt===\"LineString\")ot(Gt,ai,Ye,Ve,Xe,!1,xe.lineMetrics);else if(Vt===\"MultiLineString\")kt(Gt,ai,Ye,Ve,Xe,!1);else if(Vt===\"Polygon\")kt(Gt,ai,Ye,Ve,Xe,!0);else if(Vt===\"MultiPolygon\")for(let jr of Gt){let ri=[];kt(jr,ri,Ye,Ve,Xe,!0),ri.length&&ai.push(ri)}if(ai.length){if(xe.lineMetrics&&Vt===\"LineString\"){for(let jr of ai)Se.push(ze(lt.id,Vt,jr,lt.tags));continue}Vt!==\"LineString\"&&Vt!==\"MultiLineString\"||(ai.length===1?(Vt=\"LineString\",ai=ai[0]):Vt=\"MultiLineString\"),Vt!==\"Point\"&&Vt!==\"MultiPoint\"||(Vt=ai.length===3?\"Point\":\"MultiPoint\"),Se.push(ze(lt.id,Vt,ai,lt.tags))}}return Se.length?Se:null}function rt(ut,Ne,Ye,Ve,Xe){for(let ht=0;ht<ut.length;ht+=3){let Le=ut[ht+Xe];Le>=Ye&&Le<=Ve&&Ct(Ne,ut[ht],ut[ht+1],ut[ht+2])}}function ot(ut,Ne,Ye,Ve,Xe,ht,Le){let xe=Rt(ut),Se=Xe===0?Yt:xr,lt,Gt,Vt=ut.start;for(let ri=0;ri<ut.length-3;ri+=3){let bi=ut[ri],nn=ut[ri+1],Wi=ut[ri+2],Ni=ut[ri+3],_n=ut[ri+4],$i=Xe===0?bi:nn,zn=Xe===0?Ni:_n,Wn=!1;Le&&(lt=Math.sqrt(Math.pow(bi-Ni,2)+Math.pow(nn-_n,2))),$i<Ye?zn>Ye&&(Gt=Se(xe,bi,nn,Ni,_n,Ye),Le&&(xe.start=Vt+lt*Gt)):$i>Ve?zn<Ve&&(Gt=Se(xe,bi,nn,Ni,_n,Ve),Le&&(xe.start=Vt+lt*Gt)):Ct(xe,bi,nn,Wi),zn<Ye&&$i>=Ye&&(Gt=Se(xe,bi,nn,Ni,_n,Ye),Wn=!0),zn>Ve&&$i<=Ve&&(Gt=Se(xe,bi,nn,Ni,_n,Ve),Wn=!0),!ht&&Wn&&(Le&&(xe.end=Vt+lt*Gt),Ne.push(xe),xe=Rt(ut)),Le&&(Vt+=lt)}let ar=ut.length-3,Qr=ut[ar],ai=ut[ar+1],jr=Xe===0?Qr:ai;jr>=Ye&&jr<=Ve&&Ct(xe,Qr,ai,ut[ar+2]),ar=xe.length-3,ht&&ar>=3&&(xe[ar]!==xe[0]||xe[ar+1]!==xe[1])&&Ct(xe,xe[0],xe[1],xe[2]),xe.length&&Ne.push(xe)}function Rt(ut){let Ne=[];return Ne.size=ut.size,Ne.start=ut.start,Ne.end=ut.end,Ne}function kt(ut,Ne,Ye,Ve,Xe,ht){for(let Le of ut)ot(Le,Ne,Ye,Ve,Xe,ht,!1)}function Ct(ut,Ne,Ye,Ve){ut.push(Ne,Ye,Ve)}function Yt(ut,Ne,Ye,Ve,Xe,ht){let Le=(ht-Ne)/(Ve-Ne);return Ct(ut,ht,Ye+(Xe-Ye)*Le,1),Le}function xr(ut,Ne,Ye,Ve,Xe,ht){let Le=(ht-Ye)/(Xe-Ye);return Ct(ut,Ne+(Ve-Ne)*Le,ht,1),Le}function er(ut,Ne){let Ye=[];for(let Ve=0;Ve<ut.length;Ve++){let Xe=ut[Ve],ht=Xe.type,Le;if(ht===\"Point\"||ht===\"MultiPoint\"||ht===\"LineString\")Le=Ke(Xe.geometry,Ne);else if(ht===\"MultiLineString\"||ht===\"Polygon\"){Le=[];for(let xe of Xe.geometry)Le.push(Ke(xe,Ne))}else if(ht===\"MultiPolygon\"){Le=[];for(let xe of Xe.geometry){let Se=[];for(let lt of xe)Se.push(Ke(lt,Ne));Le.push(Se)}}Ye.push(ze(Xe.id,ht,Le,Xe.tags))}return Ye}function Ke(ut,Ne){let Ye=[];Ye.size=ut.size,ut.start!==void 0&&(Ye.start=ut.start,Ye.end=ut.end);for(let Ve=0;Ve<ut.length;Ve+=3)Ye.push(ut[Ve]+Ne,ut[Ve+1],ut[Ve+2]);return Ye}function xt(ut,Ne){if(ut.transformed)return ut;let Ye=1<<ut.z,Ve=ut.x,Xe=ut.y;for(let ht of ut.features){let Le=ht.geometry,xe=ht.type;if(ht.geometry=[],xe===1)for(let Se=0;Se<Le.length;Se+=2)ht.geometry.push(bt(Le[Se],Le[Se+1],Ne,Ye,Ve,Xe));else for(let Se=0;Se<Le.length;Se++){let lt=[];for(let Gt=0;Gt<Le[Se].length;Gt+=2)lt.push(bt(Le[Se][Gt],Le[Se][Gt+1],Ne,Ye,Ve,Xe));ht.geometry.push(lt)}}return ut.transformed=!0,ut}function bt(ut,Ne,Ye,Ve,Xe,ht){return[Math.round(Ye*(ut*Ve-Xe)),Math.round(Ye*(Ne*Ve-ht))]}function Lt(ut,Ne,Ye,Ve,Xe){let ht=Ne===Xe.maxZoom?0:Xe.tolerance/((1<<Ne)*Xe.extent),Le={features:[],numPoints:0,numSimplified:0,numFeatures:ut.length,source:null,x:Ye,y:Ve,z:Ne,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(let xe of ut)St(Le,xe,ht,Xe);return Le}function St(ut,Ne,Ye,Ve){let Xe=Ne.geometry,ht=Ne.type,Le=[];if(ut.minX=Math.min(ut.minX,Ne.minX),ut.minY=Math.min(ut.minY,Ne.minY),ut.maxX=Math.max(ut.maxX,Ne.maxX),ut.maxY=Math.max(ut.maxY,Ne.maxY),ht===\"Point\"||ht===\"MultiPoint\")for(let xe=0;xe<Xe.length;xe+=3)Le.push(Xe[xe],Xe[xe+1]),ut.numPoints++,ut.numSimplified++;else if(ht===\"LineString\")Et(Le,Xe,ut,Ye,!1,!1);else if(ht===\"MultiLineString\"||ht===\"Polygon\")for(let xe=0;xe<Xe.length;xe++)Et(Le,Xe[xe],ut,Ye,ht===\"Polygon\",xe===0);else if(ht===\"MultiPolygon\")for(let xe=0;xe<Xe.length;xe++){let Se=Xe[xe];for(let lt=0;lt<Se.length;lt++)Et(Le,Se[lt],ut,Ye,!0,lt===0)}if(Le.length){let xe=Ne.tags||null;if(ht===\"LineString\"&&Ve.lineMetrics){xe={};for(let lt in Ne.tags)xe[lt]=Ne.tags[lt];xe.mapbox_clip_start=Xe.start/Xe.size,xe.mapbox_clip_end=Xe.end/Xe.size}let Se={geometry:Le,type:ht===\"Polygon\"||ht===\"MultiPolygon\"?3:ht===\"LineString\"||ht===\"MultiLineString\"?2:1,tags:xe};Ne.id!==null&&(Se.id=Ne.id),ut.features.push(Se)}}function Et(ut,Ne,Ye,Ve,Xe,ht){let Le=Ve*Ve;if(Ve>0&&Ne.size<(Xe?Le:Ve))return void(Ye.numPoints+=Ne.length/3);let xe=[];for(let Se=0;Se<Ne.length;Se+=3)(Ve===0||Ne[Se+2]>Le)&&(Ye.numSimplified++,xe.push(Ne[Se],Ne[Se+1])),Ye.numPoints++;Xe&&function(Se,lt){let Gt=0;for(let Vt=0,ar=Se.length,Qr=ar-2;Vt<ar;Qr=Vt,Vt+=2)Gt+=(Se[Vt]-Se[Qr])*(Se[Vt+1]+Se[Qr+1]);if(Gt>0===lt)for(let Vt=0,ar=Se.length;Vt<ar/2;Vt+=2){let Qr=Se[Vt],ai=Se[Vt+1];Se[Vt]=Se[ar-2-Vt],Se[Vt+1]=Se[ar-1-Vt],Se[ar-2-Vt]=Qr,Se[ar-1-Vt]=ai}}(xe,ht),ut.push(xe)}let dt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class Ht{constructor(Ne,Ye){let Ve=(Ye=this.options=function(ht,Le){for(let xe in Le)ht[xe]=Le[xe];return ht}(Object.create(dt),Ye)).debug;if(Ve&&console.time(\"preprocess data\"),Ye.maxZoom<0||Ye.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Ye.promoteId&&Ye.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let Xe=function(ht,Le){let xe=[];if(ht.type===\"FeatureCollection\")for(let Se=0;Se<ht.features.length;Se++)me(xe,ht.features[Se],Le,Se);else me(xe,ht.type===\"Feature\"?ht:{geometry:ht},Le);return xe}(Ne,Ye);this.tiles={},this.tileCoords=[],Ve&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Ye.indexMaxZoom,Ye.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),Xe=function(ht,Le){let xe=Le.buffer/Le.extent,Se=ht,lt=qt(ht,1,-1-xe,xe,0,-1,2,Le),Gt=qt(ht,1,1-xe,2+xe,0,-1,2,Le);return(lt||Gt)&&(Se=qt(ht,1,-xe,1+xe,0,-1,2,Le)||[],lt&&(Se=er(lt,1).concat(Se)),Gt&&(Se=Se.concat(er(Gt,-1)))),Se}(Xe,Ye),Xe.length&&this.splitTile(Xe,0,0,0),Ve&&(Xe.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(Ne,Ye,Ve,Xe,ht,Le,xe){let Se=[Ne,Ye,Ve,Xe],lt=this.options,Gt=lt.debug;for(;Se.length;){Xe=Se.pop(),Ve=Se.pop(),Ye=Se.pop(),Ne=Se.pop();let Vt=1<<Ye,ar=$t(Ye,Ve,Xe),Qr=this.tiles[ar];if(!Qr&&(Gt>1&&console.time(\"creation\"),Qr=this.tiles[ar]=Lt(Ne,Ye,Ve,Xe,lt),this.tileCoords.push({z:Ye,x:Ve,y:Xe}),Gt)){Gt>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Ye,Ve,Xe,Qr.numFeatures,Qr.numPoints,Qr.numSimplified),console.timeEnd(\"creation\"));let Wn=`z${Ye}`;this.stats[Wn]=(this.stats[Wn]||0)+1,this.total++}if(Qr.source=Ne,ht==null){if(Ye===lt.indexMaxZoom||Qr.numPoints<=lt.indexMaxPoints)continue}else{if(Ye===lt.maxZoom||Ye===ht)continue;if(ht!=null){let Wn=ht-Ye;if(Ve!==Le>>Wn||Xe!==xe>>Wn)continue}}if(Qr.source=null,Ne.length===0)continue;Gt>1&&console.time(\"clipping\");let ai=.5*lt.buffer/lt.extent,jr=.5-ai,ri=.5+ai,bi=1+ai,nn=null,Wi=null,Ni=null,_n=null,$i=qt(Ne,Vt,Ve-ai,Ve+ri,0,Qr.minX,Qr.maxX,lt),zn=qt(Ne,Vt,Ve+jr,Ve+bi,0,Qr.minX,Qr.maxX,lt);Ne=null,$i&&(nn=qt($i,Vt,Xe-ai,Xe+ri,1,Qr.minY,Qr.maxY,lt),Wi=qt($i,Vt,Xe+jr,Xe+bi,1,Qr.minY,Qr.maxY,lt),$i=null),zn&&(Ni=qt(zn,Vt,Xe-ai,Xe+ri,1,Qr.minY,Qr.maxY,lt),_n=qt(zn,Vt,Xe+jr,Xe+bi,1,Qr.minY,Qr.maxY,lt),zn=null),Gt>1&&console.timeEnd(\"clipping\"),Se.push(nn||[],Ye+1,2*Ve,2*Xe),Se.push(Wi||[],Ye+1,2*Ve,2*Xe+1),Se.push(Ni||[],Ye+1,2*Ve+1,2*Xe),Se.push(_n||[],Ye+1,2*Ve+1,2*Xe+1)}}getTile(Ne,Ye,Ve){Ne=+Ne,Ye=+Ye,Ve=+Ve;let Xe=this.options,{extent:ht,debug:Le}=Xe;if(Ne<0||Ne>24)return null;let xe=1<<Ne,Se=$t(Ne,Ye=Ye+xe&xe-1,Ve);if(this.tiles[Se])return xt(this.tiles[Se],ht);Le>1&&console.log(\"drilling down to z%d-%d-%d\",Ne,Ye,Ve);let lt,Gt=Ne,Vt=Ye,ar=Ve;for(;!lt&&Gt>0;)Gt--,Vt>>=1,ar>>=1,lt=this.tiles[$t(Gt,Vt,ar)];return lt&&lt.source?(Le>1&&(console.log(\"found parent tile z%d-%d-%d\",Gt,Vt,ar),console.time(\"drilling down\")),this.splitTile(lt.source,Gt,Vt,ar,Ne,Ye,Ve),Le>1&&console.timeEnd(\"drilling down\"),this.tiles[Se]?xt(this.tiles[Se],ht):null):null}}function $t(ut,Ne,Ye){return 32*((1<<ut)*Ye+Ne)+ut}function fr(ut,Ne){return Ne?ut.properties[Ne]:ut.id}function _r(ut,Ne){if(ut==null)return!0;if(ut.type===\"Feature\")return fr(ut,Ne)!=null;if(ut.type===\"FeatureCollection\"){let Ye=new Set;for(let Ve of ut.features){let Xe=fr(Ve,Ne);if(Xe==null||Ye.has(Xe))return!1;Ye.add(Xe)}return!0}return!1}function Br(ut,Ne){let Ye=new Map;if(ut!=null)if(ut.type===\"Feature\")Ye.set(fr(ut,Ne),ut);else for(let Ve of ut.features)Ye.set(fr(Ve,Ne),Ve);return Ye}class Or extends u{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(Ne,Ye){return i._(this,void 0,void 0,function*(){let Ve=Ne.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");let Xe=this._geoJSONIndex.getTile(Ve.z,Ve.x,Ve.y);if(!Xe)return null;let ht=new class{constructor(xe){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.X,this.length=xe.length,this._features=xe}feature(xe){return new class{constructor(Se){this._feature=Se,this.extent=i.X,this.type=Se.type,this.properties=Se.tags,\"id\"in Se&&!isNaN(Se.id)&&(this.id=parseInt(Se.id,10))}loadGeometry(){if(this._feature.type===1){let Se=[];for(let lt of this._feature.geometry)Se.push([new i.P(lt[0],lt[1])]);return Se}{let Se=[];for(let lt of this._feature.geometry){let Gt=[];for(let Vt of lt)Gt.push(new i.P(Vt[0],Vt[1]));Se.push(Gt)}return Se}}toGeoJSON(Se,lt,Gt){return v.call(this,Se,lt,Gt)}}(this._features[xe])}}(Xe.features),Le=H(ht);return Le.byteOffset===0&&Le.byteLength===Le.buffer.byteLength||(Le=new Uint8Array(Le)),{vectorTile:ht,rawData:Le.buffer}})}loadData(Ne){return i._(this,void 0,void 0,function*(){var Ye;(Ye=this._pendingRequest)===null||Ye===void 0||Ye.abort();let Ve=!!(Ne&&Ne.request&&Ne.request.collectResourceTiming)&&new i.bv(Ne.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(Ne,this._pendingRequest),this._geoJSONIndex=Ne.cluster?new _e(function({superclusterOptions:Le,clusterProperties:xe}){if(!xe||!Le)return Le;let Se={},lt={},Gt={accumulated:null,zoom:0},Vt={properties:null},ar=Object.keys(xe);for(let Qr of ar){let[ai,jr]=xe[Qr],ri=i.bC(jr),bi=i.bC(typeof ai==\"string\"?[ai,[\"accumulated\"],[\"get\",Qr]]:ai);Se[Qr]=ri.value,lt[Qr]=bi.value}return Le.map=Qr=>{Vt.properties=Qr;let ai={};for(let jr of ar)ai[jr]=Se[jr].evaluate(Gt,Vt);return ai},Le.reduce=(Qr,ai)=>{Vt.properties=ai;for(let jr of ar)Gt.accumulated=Qr[jr],Qr[jr]=lt[jr].evaluate(Gt,Vt)},Le}(Ne)).load((yield this._pendingData).features):(Xe=yield this._pendingData,new Ht(Xe,Ne.geojsonVtOptions)),this.loaded={};let ht={};if(Ve){let Le=Ve.finish();Le&&(ht.resourceTiming={},ht.resourceTiming[Ne.source]=JSON.parse(JSON.stringify(Le)))}return ht}catch(ht){if(delete this._pendingRequest,i.bB(ht))return{abandoned:!0};throw ht}var Xe})}getData(){return i._(this,void 0,void 0,function*(){return this._pendingData})}reloadTile(Ne){let Ye=this.loaded;return Ye&&Ye[Ne.uid]?super.reloadTile(Ne):this.loadTile(Ne)}loadAndProcessGeoJSON(Ne,Ye){return i._(this,void 0,void 0,function*(){let Ve=yield this.loadGeoJSON(Ne,Ye);if(delete this._pendingRequest,typeof Ve!=\"object\")throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`);if(d(Ve,!0),Ne.filter){let Xe=i.bC(Ne.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Xe.result===\"error\")throw new Error(Xe.value.map(Le=>`${Le.key}: ${Le.message}`).join(\", \"));Ve={type:\"FeatureCollection\",features:Ve.features.filter(Le=>Xe.value.evaluate({zoom:0},Le))}}return Ve})}loadGeoJSON(Ne,Ye){return i._(this,void 0,void 0,function*(){let{promoteId:Ve}=Ne;if(Ne.request){let Xe=yield i.h(Ne.request,Ye);return this._dataUpdateable=_r(Xe.data,Ve)?Br(Xe.data,Ve):void 0,Xe.data}if(typeof Ne.data==\"string\")try{let Xe=JSON.parse(Ne.data);return this._dataUpdateable=_r(Xe,Ve)?Br(Xe,Ve):void 0,Xe}catch(Xe){throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`)}if(!Ne.dataDiff)throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Ne.source}`);return function(Xe,ht,Le){var xe,Se,lt,Gt;if(ht.removeAll&&Xe.clear(),ht.remove)for(let Vt of ht.remove)Xe.delete(Vt);if(ht.add)for(let Vt of ht.add){let ar=fr(Vt,Le);ar!=null&&Xe.set(ar,Vt)}if(ht.update)for(let Vt of ht.update){let ar=Xe.get(Vt.id);if(ar==null)continue;let Qr=!Vt.removeAllProperties&&(((xe=Vt.removeProperties)===null||xe===void 0?void 0:xe.length)>0||((Se=Vt.addOrUpdateProperties)===null||Se===void 0?void 0:Se.length)>0);if((Vt.newGeometry||Vt.removeAllProperties||Qr)&&(ar=Object.assign({},ar),Xe.set(Vt.id,ar),Qr&&(ar.properties=Object.assign({},ar.properties))),Vt.newGeometry&&(ar.geometry=Vt.newGeometry),Vt.removeAllProperties)ar.properties={};else if(((lt=Vt.removeProperties)===null||lt===void 0?void 0:lt.length)>0)for(let ai of Vt.removeProperties)Object.prototype.hasOwnProperty.call(ar.properties,ai)&&delete ar.properties[ai];if(((Gt=Vt.addOrUpdateProperties)===null||Gt===void 0?void 0:Gt.length)>0)for(let{key:ai,value:jr}of Vt.addOrUpdateProperties)ar.properties[ai]=jr}}(this._dataUpdateable,Ne.dataDiff,Ve),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}})}removeSource(Ne){return i._(this,void 0,void 0,function*(){this._pendingRequest&&this._pendingRequest.abort()})}getClusterExpansionZoom(Ne){return this._geoJSONIndex.getClusterExpansionZoom(Ne.clusterId)}getClusterChildren(Ne){return this._geoJSONIndex.getChildren(Ne.clusterId)}getClusterLeaves(Ne){return this._geoJSONIndex.getLeaves(Ne.clusterId,Ne.limit,Ne.offset)}}class Nr{constructor(Ne){this.self=Ne,this.actor=new i.F(Ne),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Ye,Ve)=>{if(this.externalWorkerSourceTypes[Ye])throw new Error(`Worker source with name \"${Ye}\" already registered.`);this.externalWorkerSourceTypes[Ye]=Ve},this.self.addProtocol=i.bi,this.self.removeProtocol=i.bj,this.self.registerRTLTextPlugin=Ye=>{if(i.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");i.bD.setMethods(Ye)},this.actor.registerMessageHandler(\"LDT\",(Ye,Ve)=>this._getDEMWorkerSource(Ye,Ve.source).loadTile(Ve)),this.actor.registerMessageHandler(\"RDT\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getDEMWorkerSource(Ye,Ve.source).removeTile(Ve)})),this.actor.registerMessageHandler(\"GCEZ\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterExpansionZoom(Ve)})),this.actor.registerMessageHandler(\"GCC\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterChildren(Ve)})),this.actor.registerMessageHandler(\"GCL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterLeaves(Ve)})),this.actor.registerMessageHandler(\"LD\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).loadData(Ve)),this.actor.registerMessageHandler(\"GD\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).getData()),this.actor.registerMessageHandler(\"LT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).loadTile(Ve)),this.actor.registerMessageHandler(\"RT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).reloadTile(Ve)),this.actor.registerMessageHandler(\"AT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).abortTile(Ve)),this.actor.registerMessageHandler(\"RMT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).removeTile(Ve)),this.actor.registerMessageHandler(\"RS\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){if(!this.workerSources[Ye]||!this.workerSources[Ye][Ve.type]||!this.workerSources[Ye][Ve.type][Ve.source])return;let Xe=this.workerSources[Ye][Ve.type][Ve.source];delete this.workerSources[Ye][Ve.type][Ve.source],Xe.removeSource!==void 0&&Xe.removeSource(Ve)})),this.actor.registerMessageHandler(\"RM\",Ye=>i._(this,void 0,void 0,function*(){delete this.layerIndexes[Ye],delete this.availableImages[Ye],delete this.workerSources[Ye],delete this.demWorkerSources[Ye]})),this.actor.registerMessageHandler(\"SR\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this.referrer=Ve})),this.actor.registerMessageHandler(\"SRPS\",(Ye,Ve)=>this._syncRTLPluginState(Ye,Ve)),this.actor.registerMessageHandler(\"IS\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this.self.importScripts(Ve)})),this.actor.registerMessageHandler(\"SI\",(Ye,Ve)=>this._setImages(Ye,Ve)),this.actor.registerMessageHandler(\"UL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Ye).update(Ve.layers,Ve.removedIds)})),this.actor.registerMessageHandler(\"SL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Ye).replace(Ve)}))}_setImages(Ne,Ye){return i._(this,void 0,void 0,function*(){this.availableImages[Ne]=Ye;for(let Ve in this.workerSources[Ne]){let Xe=this.workerSources[Ne][Ve];for(let ht in Xe)Xe[ht].availableImages=Ye}})}_syncRTLPluginState(Ne,Ye){return i._(this,void 0,void 0,function*(){if(i.bD.isParsed())return i.bD.getState();if(Ye.pluginStatus!==\"loading\")return i.bD.setState(Ye),Ye;let Ve=Ye.pluginURL;if(this.self.importScripts(Ve),i.bD.isParsed()){let Xe={pluginStatus:\"loaded\",pluginURL:Ve};return i.bD.setState(Xe),Xe}throw i.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${Ve}`)})}_getAvailableImages(Ne){let Ye=this.availableImages[Ne];return Ye||(Ye=[]),Ye}_getLayerIndex(Ne){let Ye=this.layerIndexes[Ne];return Ye||(Ye=this.layerIndexes[Ne]=new a),Ye}_getWorkerSource(Ne,Ye,Ve){if(this.workerSources[Ne]||(this.workerSources[Ne]={}),this.workerSources[Ne][Ye]||(this.workerSources[Ne][Ye]={}),!this.workerSources[Ne][Ye][Ve]){let Xe={sendAsync:(ht,Le)=>(ht.targetMapId=Ne,this.actor.sendAsync(ht,Le))};switch(Ye){case\"vector\":this.workerSources[Ne][Ye][Ve]=new u(Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne));break;case\"geojson\":this.workerSources[Ne][Ye][Ve]=new Or(Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne));break;default:this.workerSources[Ne][Ye][Ve]=new this.externalWorkerSourceTypes[Ye](Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne))}}return this.workerSources[Ne][Ye][Ve]}_getDEMWorkerSource(Ne,Ye){return this.demWorkerSources[Ne]||(this.demWorkerSources[Ne]={}),this.demWorkerSources[Ne][Ye]||(this.demWorkerSources[Ne][Ye]=new c),this.demWorkerSources[Ne][Ye]}}return i.i(self)&&(self.worker=new Nr(self)),Nr}),r(\"index\",[\"exports\",\"./shared\"],function(i,a){\"use strict\";var o=\"4.7.1\";let s,l,u={now:typeof performance!=\"undefined\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:le=>new Promise((w,B)=>{let 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w=le.createTexture();le.bindTexture(le.TEXTURE_2D,w);try{if(le.texImage2D(le.TEXTURE_2D,0,le.RGBA,le.RGBA,le.UNSIGNED_BYTE,d),le.isContextLost())return;f.supported=!0}catch(B){}le.deleteTexture(w),v=!0}var g;typeof document!=\"undefined\"&&(d=document.createElement(\"img\"),d.onload=()=>{h&&b(h),h=null,x=!0},d.onerror=()=>{v=!0,h=null},d.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(le){let w,B,Q,ee;le.resetRequestQueue=()=>{w=[],B=0,Q=0,ee={}},le.addThrottleControl=it=>{let yt=Q++;return ee[yt]=it,yt},le.removeThrottleControl=it=>{delete ee[it],qe()},le.getImage=(it,yt,Ot=!0)=>new Promise((Nt,hr)=>{f.supported&&(it.headers||(it.headers={}),it.headers.accept=\"image/webp,*/*\"),a.e(it,{type:\"image\"}),w.push({abortController:yt,requestParameters:it,supportImageRefresh:Ot,state:\"queued\",onError:Sr=>{hr(Sr)},onSuccess:Sr=>{Nt(Sr)}}),qe()});let se=it=>a._(this,void 0,void 0,function*(){it.state=\"running\";let{requestParameters:yt,supportImageRefresh:Ot,onError:Nt,onSuccess:hr,abortController:Sr}=it,he=Ot===!1&&!a.i(self)&&!a.g(yt.url)&&(!yt.headers||Object.keys(yt.headers).reduce((Oe,Je)=>Oe&&Je===\"accept\",!0));B++;let be=he?je(yt,Sr):a.m(yt,Sr);try{let Oe=yield be;delete it.abortController,it.state=\"completed\",Oe.data instanceof HTMLImageElement||a.b(Oe.data)?hr(Oe):Oe.data&&hr({data:yield(Pe=Oe.data,typeof createImageBitmap==\"function\"?a.d(Pe):a.f(Pe)),cacheControl:Oe.cacheControl,expires:Oe.expires})}catch(Oe){delete it.abortController,Nt(Oe)}finally{B--,qe()}var Pe}),qe=()=>{let it=(()=>{for(let yt of Object.keys(ee))if(ee[yt]())return!0;return!1})()?a.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:a.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let yt=B;yt<it&&w.length>0;yt++){let Ot=w.shift();Ot.abortController.signal.aborted?yt--:se(Ot)}},je=(it,yt)=>new Promise((Ot,Nt)=>{let hr=new Image,Sr=it.url,he=it.credentials;he&&he===\"include\"?hr.crossOrigin=\"use-credentials\":(he&&he===\"same-origin\"||!a.s(Sr))&&(hr.crossOrigin=\"anonymous\"),yt.signal.addEventListener(\"abort\",()=>{hr.src=\"\",Nt(a.c())}),hr.fetchPriority=\"high\",hr.onload=()=>{hr.onerror=hr.onload=null,Ot({data:hr})},hr.onerror=()=>{hr.onerror=hr.onload=null,yt.signal.aborted||Nt(new Error(\"Could not load image. 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p{constructor(w,B,Q,ee){this.context=w,this.format=Q,this.texture=w.gl.createTexture(),this.update(B,ee)}update(w,B,Q){let{width:ee,height:se}=w,qe=!(this.size&&this.size[0]===ee&&this.size[1]===se||Q),{context:je}=this,{gl:it}=je;if(this.useMipmap=!!(B&&B.useMipmap),it.bindTexture(it.TEXTURE_2D,this.texture),je.pixelStoreUnpackFlipY.set(!1),je.pixelStoreUnpack.set(1),je.pixelStoreUnpackPremultiplyAlpha.set(this.format===it.RGBA&&(!B||B.premultiply!==!1)),qe)this.size=[ee,se],w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?it.texImage2D(it.TEXTURE_2D,0,this.format,this.format,it.UNSIGNED_BYTE,w):it.texImage2D(it.TEXTURE_2D,0,this.format,ee,se,0,this.format,it.UNSIGNED_BYTE,w.data);else{let{x:yt,y:Ot}=Q||{x:0,y:0};w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?it.texSubImage2D(it.TEXTURE_2D,0,yt,Ot,it.RGBA,it.UNSIGNED_BYTE,w):it.texSubImage2D(it.TEXTURE_2D,0,yt,Ot,ee,se,it.RGBA,it.UNSIGNED_BYTE,w.data)}this.useMipmap&&this.isSizePowerOfTwo()&&it.generateMipmap(it.TEXTURE_2D)}bind(w,B,Q){let{context:ee}=this,{gl:se}=ee;se.bindTexture(se.TEXTURE_2D,this.texture),Q!==se.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(Q=se.LINEAR),w!==this.filter&&(se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MAG_FILTER,w),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MIN_FILTER,Q||w),this.filter=w),B!==this.wrap&&(se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_S,B),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_T,B),this.wrap=B)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){let{gl:w}=this.context;w.deleteTexture(this.texture),this.texture=null}}function P(le){let{userImage:w}=le;return!!(w&&w.render&&w.render())&&(le.data.replace(new Uint8Array(w.data.buffer)),!0)}class T extends a.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new a.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(w){if(this.loaded!==w&&(this.loaded=w,w)){for(let{ids:B,promiseResolve:Q}of this.requestors)Q(this._getImagesForIds(B));this.requestors=[]}}getImage(w){let B=this.images[w];if(B&&!B.data&&B.spriteData){let Q=B.spriteData;B.data=new a.R({width:Q.width,height:Q.height},Q.context.getImageData(Q.x,Q.y,Q.width,Q.height).data),B.spriteData=null}return B}addImage(w,B){if(this.images[w])throw new Error(`Image id ${w} already exist, use updateImage instead`);this._validate(w,B)&&(this.images[w]=B)}_validate(w,B){let Q=!0,ee=B.data||B.spriteData;return this._validateStretch(B.stretchX,ee&&ee.width)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchX\" value`))),Q=!1),this._validateStretch(B.stretchY,ee&&ee.height)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchY\" value`))),Q=!1),this._validateContent(B.content,B)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"content\" value`))),Q=!1),Q}_validateStretch(w,B){if(!w)return!0;let Q=0;for(let ee of w){if(ee[0]<Q||ee[1]<ee[0]||B<ee[1])return!1;Q=ee[1]}return!0}_validateContent(w,B){if(!w)return!0;if(w.length!==4)return!1;let Q=B.spriteData,ee=Q&&Q.width||B.data.width,se=Q&&Q.height||B.data.height;return!(w[0]<0||ee<w[0]||w[1]<0||se<w[1]||w[2]<0||ee<w[2]||w[3]<0||se<w[3]||w[2]<w[0]||w[3]<w[1])}updateImage(w,B,Q=!0){let ee=this.getImage(w);if(Q&&(ee.data.width!==B.data.width||ee.data.height!==B.data.height))throw new Error(`size mismatch between old image (${ee.data.width}x${ee.data.height}) and new image (${B.data.width}x${B.data.height}).`);B.version=ee.version+1,this.images[w]=B,this.updatedImages[w]=!0}removeImage(w){let B=this.images[w];delete this.images[w],delete this.patterns[w],B.userImage&&B.userImage.onRemove&&B.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(w){return new Promise((B,Q)=>{let ee=!0;if(!this.isLoaded())for(let se of w)this.images[se]||(ee=!1);this.isLoaded()||ee?B(this._getImagesForIds(w)):this.requestors.push({ids:w,promiseResolve:B})})}_getImagesForIds(w){let B={};for(let Q of w){let ee=this.getImage(Q);ee||(this.fire(new a.k(\"styleimagemissing\",{id:Q})),ee=this.getImage(Q)),ee?B[Q]={data:ee.data.clone(),pixelRatio:ee.pixelRatio,sdf:ee.sdf,version:ee.version,stretchX:ee.stretchX,stretchY:ee.stretchY,content:ee.content,textFitWidth:ee.textFitWidth,textFitHeight:ee.textFitHeight,hasRenderCallback:!!(ee.userImage&&ee.userImage.render)}:a.w(`Image \"${Q}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return B}getPixelSize(){let{width:w,height:B}=this.atlasImage;return{width:w,height:B}}getPattern(w){let B=this.patterns[w],Q=this.getImage(w);if(!Q)return null;if(B&&B.position.version===Q.version)return B.position;if(B)B.position.version=Q.version;else{let ee={w:Q.data.width+2,h:Q.data.height+2,x:0,y:0},se=new a.I(ee,Q);this.patterns[w]={bin:ee,position:se}}return this._updatePatternAtlas(),this.patterns[w].position}bind(w){let B=w.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new p(w,this.atlasImage,B.RGBA),this.atlasTexture.bind(B.LINEAR,B.CLAMP_TO_EDGE)}_updatePatternAtlas(){let w=[];for(let se in this.patterns)w.push(this.patterns[se].bin);let{w:B,h:Q}=a.p(w),ee=this.atlasImage;ee.resize({width:B||1,height:Q||1});for(let se in this.patterns){let{bin:qe}=this.patterns[se],je=qe.x+1,it=qe.y+1,yt=this.getImage(se).data,Ot=yt.width,Nt=yt.height;a.R.copy(yt,ee,{x:0,y:0},{x:je,y:it},{width:Ot,height:Nt}),a.R.copy(yt,ee,{x:0,y:Nt-1},{x:je,y:it-1},{width:Ot,height:1}),a.R.copy(yt,ee,{x:0,y:0},{x:je,y:it+Nt},{width:Ot,height:1}),a.R.copy(yt,ee,{x:Ot-1,y:0},{x:je-1,y:it},{width:1,height:Nt}),a.R.copy(yt,ee,{x:0,y:0},{x:je+Ot,y:it},{width:1,height:Nt})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(w){for(let B of w){if(this.callbackDispatchedThisFrame[B])continue;this.callbackDispatchedThisFrame[B]=!0;let Q=this.getImage(B);Q||a.w(`Image with ID: \"${B}\" was not found`),P(Q)&&this.updateImage(B,Q)}}}let F=1e20;function q(le,w,B,Q,ee,se,qe,je,it){for(let yt=w;yt<w+Q;yt++)V(le,B*se+yt,se,ee,qe,je,it);for(let yt=B;yt<B+ee;yt++)V(le,yt*se+w,1,Q,qe,je,it)}function V(le,w,B,Q,ee,se,qe){se[0]=0,qe[0]=-F,qe[1]=F,ee[0]=le[w];for(let je=1,it=0,yt=0;je<Q;je++){ee[je]=le[w+je*B];let Ot=je*je;do{let Nt=se[it];yt=(ee[je]-ee[Nt]+Ot-Nt*Nt)/(je-Nt)/2}while(yt<=qe[it]&&--it>-1);it++,se[it]=je,qe[it]=yt,qe[it+1]=F}for(let je=0,it=0;je<Q;je++){for(;qe[it+1]<je;)it++;let yt=se[it],Ot=je-yt;le[w+je*B]=ee[yt]+Ot*Ot}}class H{constructor(w,B){this.requestManager=w,this.localIdeographFontFamily=B,this.entries={}}setURL(w){this.url=w}getGlyphs(w){return a._(this,void 0,void 0,function*(){let B=[];for(let se in w)for(let qe of w[se])B.push(this._getAndCacheGlyphsPromise(se,qe));let Q=yield Promise.all(B),ee={};for(let{stack:se,id:qe,glyph:je}of Q)ee[se]||(ee[se]={}),ee[se][qe]=je&&{id:je.id,bitmap:je.bitmap.clone(),metrics:je.metrics};return ee})}_getAndCacheGlyphsPromise(w,B){return a._(this,void 0,void 0,function*(){let Q=this.entries[w];Q||(Q=this.entries[w]={glyphs:{},requests:{},ranges:{}});let ee=Q.glyphs[B];if(ee!==void 0)return{stack:w,id:B,glyph:ee};if(ee=this._tinySDF(Q,w,B),ee)return Q.glyphs[B]=ee,{stack:w,id:B,glyph:ee};let se=Math.floor(B/256);if(256*se>65535)throw new Error(\"glyphs > 65535 not supported\");if(Q.ranges[se])return{stack:w,id:B,glyph:ee};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!Q.requests[se]){let je=H.loadGlyphRange(w,se,this.url,this.requestManager);Q.requests[se]=je}let qe=yield Q.requests[se];for(let je in qe)this._doesCharSupportLocalGlyph(+je)||(Q.glyphs[+je]=qe[+je]);return Q.ranges[se]=!0,{stack:w,id:B,glyph:qe[B]||null}})}_doesCharSupportLocalGlyph(w){return!!this.localIdeographFontFamily&&new RegExp(\"\\\\p{Ideo}|\\\\p{sc=Hang}|\\\\p{sc=Hira}|\\\\p{sc=Kana}\",\"u\").test(String.fromCodePoint(w))}_tinySDF(w,B,Q){let ee=this.localIdeographFontFamily;if(!ee||!this._doesCharSupportLocalGlyph(Q))return;let se=w.tinySDF;if(!se){let je=\"400\";/bold/i.test(B)?je=\"900\":/medium/i.test(B)?je=\"500\":/light/i.test(B)&&(je=\"200\"),se=w.tinySDF=new H.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:ee,fontWeight:je})}let qe=se.draw(String.fromCharCode(Q));return{id:Q,bitmap:new a.o({width:qe.width||60,height:qe.height||60},qe.data),metrics:{width:qe.glyphWidth/2||24,height:qe.glyphHeight/2||24,left:qe.glyphLeft/2+.5||0,top:qe.glyphTop/2-27.5||-8,advance:qe.glyphAdvance/2||24,isDoubleResolution:!0}}}}H.loadGlyphRange=function(le,w,B,Q){return a._(this,void 0,void 0,function*(){let ee=256*w,se=ee+255,qe=Q.transformRequest(B.replace(\"{fontstack}\",le).replace(\"{range}\",`${ee}-${se}`),\"Glyphs\"),je=yield a.l(qe,new AbortController);if(!je||!je.data)throw new Error(`Could not load glyph range. range: ${w}, ${ee}-${se}`);let it={};for(let yt of a.n(je.data))it[yt.id]=yt;return it})},H.TinySDF=class{constructor({fontSize:le=24,buffer:w=3,radius:B=8,cutoff:Q=.25,fontFamily:ee=\"sans-serif\",fontWeight:se=\"normal\",fontStyle:qe=\"normal\"}={}){this.buffer=w,this.cutoff=Q,this.radius=B;let je=this.size=le+4*w,it=this._createCanvas(je),yt=this.ctx=it.getContext(\"2d\",{willReadFrequently:!0});yt.font=`${qe} ${se} ${le}px ${ee}`,yt.textBaseline=\"alphabetic\",yt.textAlign=\"left\",yt.fillStyle=\"black\",this.gridOuter=new Float64Array(je*je),this.gridInner=new Float64Array(je*je),this.f=new Float64Array(je),this.z=new Float64Array(je+1),this.v=new Uint16Array(je)}_createCanvas(le){let w=document.createElement(\"canvas\");return w.width=w.height=le,w}draw(le){let{width:w,actualBoundingBoxAscent:B,actualBoundingBoxDescent:Q,actualBoundingBoxLeft:ee,actualBoundingBoxRight:se}=this.ctx.measureText(le),qe=Math.ceil(B),je=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(se-ee))),it=Math.min(this.size-this.buffer,qe+Math.ceil(Q)),yt=je+2*this.buffer,Ot=it+2*this.buffer,Nt=Math.max(yt*Ot,0),hr=new Uint8ClampedArray(Nt),Sr={data:hr,width:yt,height:Ot,glyphWidth:je,glyphHeight:it,glyphTop:qe,glyphLeft:0,glyphAdvance:w};if(je===0||it===0)return Sr;let{ctx:he,buffer:be,gridInner:Pe,gridOuter:Oe}=this;he.clearRect(be,be,je,it),he.fillText(le,be,be+qe);let Je=he.getImageData(be,be,je,it);Oe.fill(F,0,Nt),Pe.fill(0,0,Nt);for(let He=0;He<it;He++)for(let et=0;et<je;et++){let Mt=Je.data[4*(He*je+et)+3]/255;if(Mt===0)continue;let Dt=(He+be)*yt+et+be;if(Mt===1)Oe[Dt]=0,Pe[Dt]=F;else{let Ut=.5-Mt;Oe[Dt]=Ut>0?Ut*Ut:0,Pe[Dt]=Ut<0?Ut*Ut:0}}q(Oe,0,0,yt,Ot,yt,this.f,this.v,this.z),q(Pe,be,be,je,it,yt,this.f,this.v,this.z);for(let He=0;He<Nt;He++){let et=Math.sqrt(Oe[He])-Math.sqrt(Pe[He]);hr[He]=Math.round(255-255*(et/this.radius+this.cutoff))}return Sr}};class X{constructor(){this.specification=a.v.light.position}possiblyEvaluate(w,B){return a.x(w.expression.evaluate(B))}interpolate(w,B,Q){return{x:a.y.number(w.x,B.x,Q),y:a.y.number(w.y,B.y,Q),z:a.y.number(w.z,B.z,Q)}}}let G;class N extends a.E{constructor(w){super(),G=G||new a.q({anchor:new a.D(a.v.light.anchor),position:new X,color:new a.D(a.v.light.color),intensity:new a.D(a.v.light.intensity)}),this._transitionable=new a.T(G),this.setLight(w),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(w,B={}){if(!this._validate(a.r,w,B))for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q){return(!Q||Q.validate!==!1)&&a.t(this,w.call(a.u,{value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v}))}}let W=new a.q({\"sky-color\":new a.D(a.v.sky[\"sky-color\"]),\"horizon-color\":new a.D(a.v.sky[\"horizon-color\"]),\"fog-color\":new a.D(a.v.sky[\"fog-color\"]),\"fog-ground-blend\":new a.D(a.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new a.D(a.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new a.D(a.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new a.D(a.v.sky[\"atmosphere-blend\"])});class re extends a.E{constructor(w){super(),this._transitionable=new a.T(W),this.setSky(w),this._transitioning=this._transitionable.untransitioned(),this.recalculate(new a.z(0))}setSky(w,B={}){if(!this._validate(a.B,w,B)){w||(w={\"sky-color\":\"transparent\",\"horizon-color\":\"transparent\",\"fog-color\":\"transparent\",\"fog-ground-blend\":1,\"atmosphere-blend\":0});for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}}getSky(){return this._transitionable.serialize()}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q={}){return(Q==null?void 0:Q.validate)!==!1&&a.t(this,w.call(a.u,a.e({value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v})))}calculateFogBlendOpacity(w){return w<60?0:w<70?(w-60)/10:1}}class ae{constructor(w,B){this.width=w,this.height=B,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(w,B){let Q=w.join(\",\")+String(B);return this.dashEntry[Q]||(this.dashEntry[Q]=this.addDash(w,B)),this.dashEntry[Q]}getDashRanges(w,B,Q){let ee=[],se=w.length%2==1?-w[w.length-1]*Q:0,qe=w[0]*Q,je=!0;ee.push({left:se,right:qe,isDash:je,zeroLength:w[0]===0});let it=w[0];for(let yt=1;yt<w.length;yt++){je=!je;let Ot=w[yt];se=it*Q,it+=Ot,qe=it*Q,ee.push({left:se,right:qe,isDash:je,zeroLength:Ot===0})}return ee}addRoundDash(w,B,Q){let ee=B/2;for(let se=-Q;se<=Q;se++){let qe=this.width*(this.nextRow+Q+se),je=0,it=w[je];for(let yt=0;yt<this.width;yt++){yt/it.right>1&&(it=w[++je]);let Ot=Math.abs(yt-it.left),Nt=Math.abs(yt-it.right),hr=Math.min(Ot,Nt),Sr,he=se/Q*(ee+1);if(it.isDash){let be=ee-Math.abs(he);Sr=Math.sqrt(hr*hr+be*be)}else Sr=ee-Math.sqrt(hr*hr+he*he);this.data[qe+yt]=Math.max(0,Math.min(255,Sr+128))}}}addRegularDash(w){for(let je=w.length-1;je>=0;--je){let it=w[je],yt=w[je+1];it.zeroLength?w.splice(je,1):yt&&yt.isDash===it.isDash&&(yt.left=it.left,w.splice(je,1))}let B=w[0],Q=w[w.length-1];B.isDash===Q.isDash&&(B.left=Q.left-this.width,Q.right=B.right+this.width);let ee=this.width*this.nextRow,se=0,qe=w[se];for(let je=0;je<this.width;je++){je/qe.right>1&&(qe=w[++se]);let it=Math.abs(je-qe.left),yt=Math.abs(je-qe.right),Ot=Math.min(it,yt);this.data[ee+je]=Math.max(0,Math.min(255,(qe.isDash?Ot:-Ot)+128))}}addDash(w,B){let Q=B?7:0,ee=2*Q+1;if(this.nextRow+ee>this.height)return a.w(\"LineAtlas out of space\"),null;let se=0;for(let je=0;je<w.length;je++)se+=w[je];if(se!==0){let je=this.width/se,it=this.getDashRanges(w,this.width,je);B?this.addRoundDash(it,je,Q):this.addRegularDash(it)}let qe={y:(this.nextRow+Q+.5)/this.height,height:2*Q/this.height,width:se};return this.nextRow+=ee,this.dirty=!0,qe}bind(w){let B=w.gl;this.texture?(B.bindTexture(B.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,B.texSubImage2D(B.TEXTURE_2D,0,0,0,this.width,this.height,B.ALPHA,B.UNSIGNED_BYTE,this.data))):(this.texture=B.createTexture(),B.bindTexture(B.TEXTURE_2D,this.texture),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_S,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_T,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MIN_FILTER,B.LINEAR),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MAG_FILTER,B.LINEAR),B.texImage2D(B.TEXTURE_2D,0,B.ALPHA,this.width,this.height,0,B.ALPHA,B.UNSIGNED_BYTE,this.data))}}let _e=\"maplibre_preloaded_worker_pool\";class Me{constructor(){this.active={}}acquire(w){if(!this.workers)for(this.workers=[];this.workers.length<Me.workerCount;)this.workers.push(new Worker(a.a.WORKER_URL));return this.active[w]=!0,this.workers.slice()}release(w){delete this.active[w],this.numActive()===0&&(this.workers.forEach(B=>{B.terminate()}),this.workers=null)}isPreloaded(){return!!this.active[_e]}numActive(){return Object.keys(this.active).length}}let ke=Math.floor(u.hardwareConcurrency/2),ge,ie;function Te(){return ge||(ge=new Me),ge}Me.workerCount=a.C(globalThis)?Math.max(Math.min(ke,3),1):1;class Ee{constructor(w,B){this.workerPool=w,this.actors=[],this.currentActor=0,this.id=B;let Q=this.workerPool.acquire(B);for(let ee=0;ee<Q.length;ee++){let se=new a.F(Q[ee],B);se.name=`Worker ${ee}`,this.actors.push(se)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(w,B){let Q=[];for(let ee of this.actors)Q.push(ee.sendAsync({type:w,data:B}));return Promise.all(Q)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(w=!0){this.actors.forEach(B=>{B.remove()}),this.actors=[],w&&this.workerPool.release(this.id)}registerMessageHandler(w,B){for(let Q of this.actors)Q.registerMessageHandler(w,B)}}function Ae(){return ie||(ie=new Ee(Te(),a.G),ie.registerMessageHandler(\"GR\",(le,w,B)=>a.m(w,B))),ie}function ze(le,w){let B=a.H();return a.J(B,B,[1,1,0]),a.K(B,B,[.5*le.width,.5*le.height,1]),a.L(B,B,le.calculatePosMatrix(w.toUnwrapped()))}function Ce(le,w,B,Q,ee,se){let qe=function(Nt,hr,Sr){if(Nt)for(let he of Nt){let be=hr[he];if(be&&be.source===Sr&&be.type===\"fill-extrusion\")return!0}else for(let he in hr){let be=hr[he];if(be.source===Sr&&be.type===\"fill-extrusion\")return!0}return!1}(ee&&ee.layers,w,le.id),je=se.maxPitchScaleFactor(),it=le.tilesIn(Q,je,qe);it.sort(me);let yt=[];for(let Nt of it)yt.push({wrappedTileID:Nt.tileID.wrapped().key,queryResults:Nt.tile.queryRenderedFeatures(w,B,le._state,Nt.queryGeometry,Nt.cameraQueryGeometry,Nt.scale,ee,se,je,ze(le.transform,Nt.tileID))});let Ot=function(Nt){let hr={},Sr={};for(let he of Nt){let be=he.queryResults,Pe=he.wrappedTileID,Oe=Sr[Pe]=Sr[Pe]||{};for(let Je in be){let He=be[Je],et=Oe[Je]=Oe[Je]||{},Mt=hr[Je]=hr[Je]||[];for(let Dt of He)et[Dt.featureIndex]||(et[Dt.featureIndex]=!0,Mt.push(Dt))}}return hr}(yt);for(let Nt in Ot)Ot[Nt].forEach(hr=>{let Sr=hr.feature,he=le.getFeatureState(Sr.layer[\"source-layer\"],Sr.id);Sr.source=Sr.layer.source,Sr.layer[\"source-layer\"]&&(Sr.sourceLayer=Sr.layer[\"source-layer\"]),Sr.state=he});return Ot}function me(le,w){let B=le.tileID,Q=w.tileID;return B.overscaledZ-Q.overscaledZ||B.canonical.y-Q.canonical.y||B.wrap-Q.wrap||B.canonical.x-Q.canonical.x}function Re(le,w,B){return a._(this,void 0,void 0,function*(){let Q=le;if(le.url?Q=(yield a.h(w.transformRequest(le.url,\"Source\"),B)).data:yield u.frameAsync(B),!Q)return null;let ee=a.M(a.e(Q,le),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in Q&&Q.vector_layers&&(ee.vectorLayerIds=Q.vector_layers.map(se=>se.id)),ee})}class ce{constructor(w,B){w&&(B?this.setSouthWest(w).setNorthEast(B):Array.isArray(w)&&(w.length===4?this.setSouthWest([w[0],w[1]]).setNorthEast([w[2],w[3]]):this.setSouthWest(w[0]).setNorthEast(w[1])))}setNorthEast(w){return this._ne=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}setSouthWest(w){return this._sw=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}extend(w){let B=this._sw,Q=this._ne,ee,se;if(w instanceof a.N)ee=w,se=w;else{if(!(w instanceof ce))return Array.isArray(w)?w.length===4||w.every(Array.isArray)?this.extend(ce.convert(w)):this.extend(a.N.convert(w)):w&&(\"lng\"in w||\"lon\"in w)&&\"lat\"in w?this.extend(a.N.convert(w)):this;if(ee=w._sw,se=w._ne,!ee||!se)return this}return B||Q?(B.lng=Math.min(ee.lng,B.lng),B.lat=Math.min(ee.lat,B.lat),Q.lng=Math.max(se.lng,Q.lng),Q.lat=Math.max(se.lat,Q.lat)):(this._sw=new a.N(ee.lng,ee.lat),this._ne=new a.N(se.lng,se.lat)),this}getCenter(){return new a.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new a.N(this.getWest(),this.getNorth())}getSouthEast(){return new a.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(w){let{lng:B,lat:Q}=a.N.convert(w),ee=this._sw.lng<=B&&B<=this._ne.lng;return this._sw.lng>this._ne.lng&&(ee=this._sw.lng>=B&&B>=this._ne.lng),this._sw.lat<=Q&&Q<=this._ne.lat&&ee}static convert(w){return w instanceof ce?w:w&&new ce(w)}static fromLngLat(w,B=0){let Q=360*B/40075017,ee=Q/Math.cos(Math.PI/180*w.lat);return new ce(new a.N(w.lng-ee,w.lat-Q),new a.N(w.lng+ee,w.lat+Q))}adjustAntiMeridian(){let w=new a.N(this._sw.lng,this._sw.lat),B=new a.N(this._ne.lng,this._ne.lat);return new ce(w,w.lng>B.lng?new a.N(B.lng+360,B.lat):B)}}class Ge{constructor(w,B,Q){this.bounds=ce.convert(this.validateBounds(w)),this.minzoom=B||0,this.maxzoom=Q||24}validateBounds(w){return Array.isArray(w)&&w.length===4?[Math.max(-180,w[0]),Math.max(-90,w[1]),Math.min(180,w[2]),Math.min(90,w[3])]:[-180,-90,180,90]}contains(w){let B=Math.pow(2,w.z),Q=Math.floor(a.O(this.bounds.getWest())*B),ee=Math.floor(a.Q(this.bounds.getNorth())*B),se=Math.ceil(a.O(this.bounds.getEast())*B),qe=Math.ceil(a.Q(this.bounds.getSouth())*B);return w.x>=Q&&w.x<se&&w.y>=ee&&w.y<qe}}class nt extends a.E{constructor(w,B,Q,ee){if(super(),this.id=w,this.dispatcher=Q,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=a.e({type:\"vector\"},B),this._collectResourceTiming=B.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(ee)}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Re(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ge(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}onAdd(w){this.map=w,this.load()}setSourceProperty(w){this._tileJSONRequest&&this._tileJSONRequest.abort(),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return a.e({},this._options)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q={request:this.map._requestManager.transformRequest(B,\"Tile\"),uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,tileSize:this.tileSize*w.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Q.request.collectResourceTiming=this._collectResourceTiming;let ee=\"RT\";if(w.actor&&w.state!==\"expired\"){if(w.state===\"loading\")return new Promise((se,qe)=>{w.reloadPromise={resolve:se,reject:qe}})}else w.actor=this.dispatcher.getActor(),ee=\"LT\";w.abortController=new AbortController;try{let se=yield w.actor.sendAsync({type:ee,data:Q},w.abortController);if(delete w.abortController,w.aborted)return;this._afterTileLoadWorkerResponse(w,se)}catch(se){if(delete w.abortController,w.aborted)return;if(se&&se.status!==404)throw se;this._afterTileLoadWorkerResponse(w,null)}})}_afterTileLoadWorkerResponse(w,B){if(B&&B.resourceTiming&&(w.resourceTiming=B.resourceTiming),B&&this.map._refreshExpiredTiles&&w.setExpiryData(B),w.loadVectorData(B,this.map.painter),w.reloadPromise){let Q=w.reloadPromise;w.reloadPromise=null,this.loadTile(w).then(Q.resolve).catch(Q.reject)}}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.actor&&(yield w.actor.sendAsync({type:\"AT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),w.actor&&(yield w.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}hasTransition(){return!1}}class ct extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.setEventedParent(ee),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=a.e({type:\"raster\"},B),a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\"]))}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Re(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ge(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}onAdd(w){this.map=w,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(w){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}serialize(){return a.e({},this._options)}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);w.abortController=new AbortController;try{let Q=yield g.getImage(this.map._requestManager.transformRequest(B,\"Tile\"),w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(Q&&Q.data){this.map._refreshExpiredTiles&&Q.cacheControl&&Q.expires&&w.setExpiryData({cacheControl:Q.cacheControl,expires:Q.expires});let ee=this.map.painter.context,se=ee.gl,qe=Q.data;w.texture=this.map.painter.getTileTexture(qe.width),w.texture?w.texture.update(qe,{useMipmap:!0}):(w.texture=new p(ee,qe,se.RGBA,{useMipmap:!0}),w.texture.bind(se.LINEAR,se.CLAMP_TO_EDGE,se.LINEAR_MIPMAP_NEAREST)),w.state=\"loaded\"}}catch(Q){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(Q)throw w.state=\"errored\",Q}})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController)})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.texture&&this.map.painter.saveTileTexture(w.texture)})}hasTransition(){return!1}}class qt extends ct{constructor(w,B,Q,ee){super(w,B,Q,ee),this.type=\"raster-dem\",this.maxzoom=22,this._options=a.e({type:\"raster-dem\"},B),this.encoding=B.encoding||\"mapbox\",this.redFactor=B.redFactor,this.greenFactor=B.greenFactor,this.blueFactor=B.blueFactor,this.baseShift=B.baseShift}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q=this.map._requestManager.transformRequest(B,\"Tile\");w.neighboringTiles=this._getNeighboringTiles(w.tileID),w.abortController=new AbortController;try{let ee=yield g.getImage(Q,w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(ee&&ee.data){let se=ee.data;this.map._refreshExpiredTiles&&ee.cacheControl&&ee.expires&&w.setExpiryData({cacheControl:ee.cacheControl,expires:ee.expires});let qe=a.b(se)&&a.U()?se:yield this.readImageNow(se),je={type:this.type,uid:w.uid,source:this.id,rawImageData:qe,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!w.actor||w.state===\"expired\"){w.actor=this.dispatcher.getActor();let it=yield w.actor.sendAsync({type:\"LDT\",data:je});w.dem=it,w.needsHillshadePrepare=!0,w.needsTerrainPrepare=!0,w.state=\"loaded\"}}}catch(ee){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(ee)throw w.state=\"errored\",ee}})}readImageNow(w){return a._(this,void 0,void 0,function*(){if(typeof VideoFrame!=\"undefined\"&&a.V()){let B=w.width+2,Q=w.height+2;try{return new a.R({width:B,height:Q},yield a.W(w,-1,-1,B,Q))}catch(ee){}}return u.getImageData(w,1)})}_getNeighboringTiles(w){let B=w.canonical,Q=Math.pow(2,B.z),ee=(B.x-1+Q)%Q,se=B.x===0?w.wrap-1:w.wrap,qe=(B.x+1+Q)%Q,je=B.x+1===Q?w.wrap+1:w.wrap,it={};return it[new a.S(w.overscaledZ,se,B.z,ee,B.y).key]={backfilled:!1},it[new a.S(w.overscaledZ,je,B.z,qe,B.y).key]={backfilled:!1},B.y>0&&(it[new a.S(w.overscaledZ,se,B.z,ee,B.y-1).key]={backfilled:!1},it[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y-1).key]={backfilled:!1},it[new a.S(w.overscaledZ,je,B.z,qe,B.y-1).key]={backfilled:!1}),B.y+1<Q&&(it[new a.S(w.overscaledZ,se,B.z,ee,B.y+1).key]={backfilled:!1},it[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y+1).key]={backfilled:!1},it[new a.S(w.overscaledZ,je,B.z,qe,B.y+1).key]={backfilled:!1}),it}unloadTile(w){return a._(this,void 0,void 0,function*(){w.demTexture&&this.map.painter.saveTileTexture(w.demTexture),w.fbo&&(w.fbo.destroy(),delete w.fbo),w.dem&&delete w.dem,delete w.neighboringTiles,w.state=\"unloaded\",w.actor&&(yield w.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:w.uid,source:this.id}}))})}}class rt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=Q.getActor(),this.setEventedParent(ee),this._data=B.data,this._options=a.e({},B),this._collectResourceTiming=B.collectResourceTiming,B.maxzoom!==void 0&&(this.maxzoom=B.maxzoom),B.type&&(this.type=B.type),B.attribution&&(this.attribution=B.attribution),this.promoteId=B.promoteId;let se=a.X/this.tileSize;B.clusterMaxZoom!==void 0&&this.maxzoom<=B.clusterMaxZoom&&a.w(`The maxzoom value \"${this.maxzoom}\" is expected to be greater than the clusterMaxZoom value \"${B.clusterMaxZoom}\".`),this.workerOptions=a.e({source:this.id,cluster:B.cluster||!1,geojsonVtOptions:{buffer:(B.buffer!==void 0?B.buffer:128)*se,tolerance:(B.tolerance!==void 0?B.tolerance:.375)*se,extent:a.X,maxZoom:this.maxzoom,lineMetrics:B.lineMetrics||!1,generateId:B.generateId||!1},superclusterOptions:{maxZoom:B.clusterMaxZoom!==void 0?B.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,B.clusterMinPoints||2),extent:a.X,radius:(B.clusterRadius||50)*se,log:!1,generateId:B.generateId||!1},clusterProperties:B.clusterProperties,filter:B.filter},B.workerOptions),typeof this.promoteId==\"string\"&&(this.workerOptions.promoteId=this.promoteId)}load(){return a._(this,void 0,void 0,function*(){yield this._updateWorkerData()})}onAdd(w){this.map=w,this.load()}setData(w){return this._data=w,this._updateWorkerData(),this}updateData(w){return this._updateWorkerData(w),this}getData(){return a._(this,void 0,void 0,function*(){let w=a.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:w})})}setClusterOptions(w){return this.workerOptions.cluster=w.cluster,w&&(w.clusterRadius!==void 0&&(this.workerOptions.superclusterOptions.radius=w.clusterRadius),w.clusterMaxZoom!==void 0&&(this.workerOptions.superclusterOptions.maxZoom=w.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(w){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterChildren(w){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterLeaves(w,B,Q){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:w,limit:B,offset:Q}})}_updateWorkerData(w){return a._(this,void 0,void 0,function*(){let B=a.e({type:this.type},this.workerOptions);w?B.dataDiff=w:typeof this._data==\"string\"?(B.request=this.map._requestManager.transformRequest(u.resolveURL(this._data),\"Source\"),B.request.collectResourceTiming=this._collectResourceTiming):B.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new a.k(\"dataloading\",{dataType:\"source\"}));try{let Q=yield this.actor.sendAsync({type:\"LD\",data:B});if(this._pendingLoads--,this._removed||Q.abandoned)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));let ee=null;Q.resourceTiming&&Q.resourceTiming[this.id]&&(ee=Q.resourceTiming[this.id].slice(0));let se={dataType:\"source\"};this._collectResourceTiming&&ee&&ee.length>0&&a.e(se,{resourceTiming:ee}),this.fire(new a.k(\"data\",Object.assign(Object.assign({},se),{sourceDataType:\"metadata\"}))),this.fire(new a.k(\"data\",Object.assign(Object.assign({},se),{sourceDataType:\"content\"})))}catch(Q){if(this._pendingLoads--,this._removed)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));this.fire(new a.j(Q))}})}loaded(){return this._pendingLoads===0}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.actor?\"RT\":\"LT\";w.actor=this.actor;let Q={type:this.type,uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};w.abortController=new AbortController;let ee=yield this.actor.sendAsync({type:B,data:Q},w.abortController);delete w.abortController,w.unloadVectorData(),w.aborted||w.loadVectorData(ee,this.map.painter,B===\"RT\")})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.aborted=!0})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}})})}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return a.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var ot=a.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class Rt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.coordinates=B.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(ee),this.options=B}load(w){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let B=yield g.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,B&&B.data&&(this.image=B.data,w&&(this.coordinates=w),this._finishLoading())}catch(B){this._request=null,this._loaded=!0,this.fire(new a.j(B))}})}loaded(){return this._loaded}updateImage(w){return w.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=w.url,this.load(w.coordinates).finally(()=>{this.texture=null}),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(w){this.map=w,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(w){this.coordinates=w;let B=w.map(a.Z.fromLngLat);this.tileID=function(ee){let se=1/0,qe=1/0,je=-1/0,it=-1/0;for(let hr of ee)se=Math.min(se,hr.x),qe=Math.min(qe,hr.y),je=Math.max(je,hr.x),it=Math.max(it,hr.y);let yt=Math.max(je-se,it-qe),Ot=Math.max(0,Math.floor(-Math.log(yt)/Math.LN2)),Nt=Math.pow(2,Ot);return new a.a1(Ot,Math.floor((se+je)/2*Nt),Math.floor((qe+it)/2*Nt))}(B),this.minzoom=this.maxzoom=this.tileID.z;let Q=B.map(ee=>this.tileID.getTilePoint(ee)._round());return this._boundsArray=new a.$,this._boundsArray.emplaceBack(Q[0].x,Q[0].y,0,0),this._boundsArray.emplaceBack(Q[1].x,Q[1].y,a.X,0),this._boundsArray.emplaceBack(Q[3].x,Q[3].y,0,a.X),this._boundsArray.emplaceBack(Q[2].x,Q[2].y,a.X,a.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new p(w,this.image,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let se=this.tiles[ee];se.state!==\"loaded\"&&(se.state=\"loaded\",se.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(w){return a._(this,void 0,void 0,function*(){this.tileID&&this.tileID.equals(w.tileID.canonical)?(this.tiles[String(w.tileID.wrap)]=w,w.buckets={}):w.state=\"errored\"})}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class kt extends Rt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.roundZoom=!0,this.type=\"video\",this.options=B}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1;let w=this.options;this.urls=[];for(let B of w.urls)this.urls.push(this.map._requestManager.transformRequest(B,\"Source\").url);try{let B=yield a.a3(this.urls);if(this._loaded=!0,!B)return;this.video=B,this.video.loop=!0,this.video.addEventListener(\"playing\",()=>{this.map.triggerRepaint()}),this.map&&this.video.play(),this._finishLoading()}catch(B){this.fire(new a.j(B))}})}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(w){if(this.video){let B=this.video.seekable;w<B.start(0)||w>B.end(0)?this.fire(new a.j(new a.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${B.start(0)} and ${B.end(0)}-second mark.`))):this.video.currentTime=w}}getVideo(){return this.video}onAdd(w){this.map||(this.map=w,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE),B.texSubImage2D(B.TEXTURE_2D,0,0,0,B.RGBA,B.UNSIGNED_BYTE,this.video)):(this.texture=new p(w,this.video,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let se=this.tiles[ee];se.state!==\"loaded\"&&(se.state=\"loaded\",se.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class Ct extends Rt{constructor(w,B,Q,ee){super(w,B,Q,ee),B.coordinates?Array.isArray(B.coordinates)&&B.coordinates.length===4&&!B.coordinates.some(se=>!Array.isArray(se)||se.length!==2||se.some(qe=>typeof qe!=\"number\"))||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"coordinates\"'))),B.animate&&typeof B.animate!=\"boolean\"&&this.fire(new a.j(new a.a2(`sources.${w}`,null,'optional \"animate\" property must be a boolean value'))),B.canvas?typeof B.canvas==\"string\"||B.canvas instanceof HTMLCanvasElement||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"canvas\"'))),this.options=B,this.animate=B.animate===void 0||B.animate}load(){return a._(this,void 0,void 0,function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new a.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())})}getCanvas(){return this.canvas}onAdd(w){this.map=w,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let w=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,w=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,w=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let B=this.map.painter.context,Q=B.gl;this.boundsBuffer||(this.boundsBuffer=B.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?(w||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new p(B,this.canvas,Q.RGBA,{premultiply:!0});let ee=!1;for(let se in this.tiles){let qe=this.tiles[se];qe.state!==\"loaded\"&&(qe.state=\"loaded\",qe.texture=this.texture,ee=!0)}ee&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let w of[this.canvas.width,this.canvas.height])if(isNaN(w)||w<=0)return!0;return!1}}let Yt={},xr=le=>{switch(le){case\"geojson\":return rt;case\"image\":return Rt;case\"raster\":return ct;case\"raster-dem\":return qt;case\"vector\":return nt;case\"video\":return kt;case\"canvas\":return Ct}return Yt[le]},er=\"RTLPluginLoaded\";class Ke extends a.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=Ae()}_syncState(w){return this.status=w,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:w,pluginURL:this.url}).catch(B=>{throw this.status=\"error\",B})}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(w){return a._(this,arguments,void 0,function*(B,Q=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=u.resolveURL(B),!this.url)throw new Error(`requested url ${B} is invalid`);if(this.status===\"unavailable\"){if(!Q)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()})}_requestImport(){return a._(this,void 0,void 0,function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new a.k(er))})}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let xt=null;function bt(){return xt||(xt=new Ke),xt}class Lt{constructor(w,B){this.timeAdded=0,this.fadeEndTime=0,this.tileID=w,this.uid=a.a4(),this.uses=0,this.tileSize=B,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(w){let B=w+this.timeAdded;B<this.fadeEndTime||(this.fadeEndTime=B)}wasRequested(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"}clearTextures(w){this.demTexture&&w.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(w,B,Q){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",w){w.featureIndex&&(this.latestFeatureIndex=w.featureIndex,w.rawTileData?(this.latestRawTileData=w.rawTileData,this.latestFeatureIndex.rawTileData=w.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=w.collisionBoxArray,this.buckets=function(ee,se){let qe={};if(!se)return qe;for(let je of ee){let it=je.layerIds.map(yt=>se.getLayer(yt)).filter(Boolean);if(it.length!==0){je.layers=it,je.stateDependentLayerIds&&(je.stateDependentLayers=je.stateDependentLayerIds.map(yt=>it.filter(Ot=>Ot.id===yt)[0]));for(let yt of it)qe[yt.id]=je}}return qe}(w.buckets,B.style),this.hasSymbolBuckets=!1;for(let ee in this.buckets){let se=this.buckets[ee];if(se instanceof a.a6){if(this.hasSymbolBuckets=!0,!Q)break;se.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let ee in this.buckets){let se=this.buckets[ee];if(se instanceof a.a6&&se.hasRTLText){this.hasRTLText=!0,bt().lazyLoad();break}}this.queryPadding=0;for(let ee in this.buckets){let se=this.buckets[ee];this.queryPadding=Math.max(this.queryPadding,B.style.getLayer(ee).queryRadius(se))}w.imageAtlas&&(this.imageAtlas=w.imageAtlas),w.glyphAtlasImage&&(this.glyphAtlasImage=w.glyphAtlasImage)}else this.collisionBoxArray=new a.a5}unloadVectorData(){for(let w in this.buckets)this.buckets[w].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(w){return this.buckets[w.id]}upload(w){for(let Q in this.buckets){let ee=this.buckets[Q];ee.uploadPending()&&ee.upload(w)}let B=w.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new p(w,this.imageAtlas.image,B.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new p(w,this.glyphAtlasImage,B.ALPHA),this.glyphAtlasImage=null)}prepare(w){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(w,this.imageAtlasTexture)}queryRenderedFeatures(w,B,Q,ee,se,qe,je,it,yt,Ot){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:ee,cameraQueryGeometry:se,scale:qe,tileSize:this.tileSize,pixelPosMatrix:Ot,transform:it,params:je,queryPadding:this.queryPadding*yt},w,B,Q):{}}querySourceFeatures(w,B){let Q=this.latestFeatureIndex;if(!Q||!Q.rawTileData)return;let ee=Q.loadVTLayers(),se=B&&B.sourceLayer?B.sourceLayer:\"\",qe=ee._geojsonTileLayer||ee[se];if(!qe)return;let je=a.a7(B&&B.filter),{z:it,x:yt,y:Ot}=this.tileID.canonical,Nt={z:it,x:yt,y:Ot};for(let hr=0;hr<qe.length;hr++){let Sr=qe.feature(hr);if(je.needGeometry){let Pe=a.a8(Sr,!0);if(!je.filter(new a.z(this.tileID.overscaledZ),Pe,this.tileID.canonical))continue}else if(!je.filter(new a.z(this.tileID.overscaledZ),Sr))continue;let he=Q.getId(Sr,se),be=new a.a9(Sr,it,yt,Ot,he);be.tile=Nt,w.push(be)}}hasData(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(w){let B=this.expirationTime;if(w.cacheControl){let Q=a.aa(w.cacheControl);Q[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*Q[\"max-age\"])}else w.expires&&(this.expirationTime=new Date(w.expires).getTime());if(this.expirationTime){let Q=Date.now(),ee=!1;if(this.expirationTime>Q)ee=!1;else if(B)if(this.expirationTime<B)ee=!0;else{let se=this.expirationTime-B;se?this.expirationTime=Q+Math.max(se,3e4):ee=!0}else ee=!0;ee?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)}setFeatureState(w,B){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(w).length===0)return;let Q=this.latestFeatureIndex.loadVTLayers();for(let ee in this.buckets){if(!B.style.hasLayer(ee))continue;let se=this.buckets[ee],qe=se.layers[0].sourceLayer||\"_geojsonTileLayer\",je=Q[qe],it=w[qe];if(!je||!it||Object.keys(it).length===0)continue;se.update(it,je,this.imageAtlas&&this.imageAtlas.patternPositions||{});let yt=B&&B.style&&B.style.getLayer(ee);yt&&(this.queryPadding=Math.max(this.queryPadding,yt.queryRadius(se)))}}holdingForFade(){return this.symbolFadeHoldUntil!==void 0}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<u.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(w){this.symbolFadeHoldUntil=u.now()+w}setDependencies(w,B){let Q={};for(let ee of B)Q[ee]=!0;this.dependencies[w]=Q}hasDependency(w,B){for(let Q of w){let ee=this.dependencies[Q];if(ee){for(let se of B)if(ee[se])return!0}}return!1}}class St{constructor(w,B){this.max=w,this.onRemove=B,this.reset()}reset(){for(let w in this.data)for(let B of this.data[w])B.timeout&&clearTimeout(B.timeout),this.onRemove(B.value);return this.data={},this.order=[],this}add(w,B,Q){let ee=w.wrapped().key;this.data[ee]===void 0&&(this.data[ee]=[]);let se={value:B,timeout:void 0};if(Q!==void 0&&(se.timeout=setTimeout(()=>{this.remove(w,se)},Q)),this.data[ee].push(se),this.order.push(ee),this.order.length>this.max){let qe=this._getAndRemoveByKey(this.order[0]);qe&&this.onRemove(qe)}return this}has(w){return w.wrapped().key in this.data}getAndRemove(w){return this.has(w)?this._getAndRemoveByKey(w.wrapped().key):null}_getAndRemoveByKey(w){let B=this.data[w].shift();return B.timeout&&clearTimeout(B.timeout),this.data[w].length===0&&delete this.data[w],this.order.splice(this.order.indexOf(w),1),B.value}getByKey(w){let B=this.data[w];return B?B[0].value:null}get(w){return this.has(w)?this.data[w.wrapped().key][0].value:null}remove(w,B){if(!this.has(w))return this;let Q=w.wrapped().key,ee=B===void 0?0:this.data[Q].indexOf(B),se=this.data[Q][ee];return this.data[Q].splice(ee,1),se.timeout&&clearTimeout(se.timeout),this.data[Q].length===0&&delete this.data[Q],this.onRemove(se.value),this.order.splice(this.order.indexOf(Q),1),this}setMaxSize(w){for(this.max=w;this.order.length>this.max;){let B=this._getAndRemoveByKey(this.order[0]);B&&this.onRemove(B)}return this}filter(w){let B=[];for(let Q in this.data)for(let ee of this.data[Q])w(ee.value)||B.push(ee);for(let Q of B)this.remove(Q.value.tileID,Q)}}class Et{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(w,B,Q){let ee=String(B);if(this.stateChanges[w]=this.stateChanges[w]||{},this.stateChanges[w][ee]=this.stateChanges[w][ee]||{},a.e(this.stateChanges[w][ee],Q),this.deletedStates[w]===null){this.deletedStates[w]={};for(let se in this.state[w])se!==ee&&(this.deletedStates[w][se]=null)}else if(this.deletedStates[w]&&this.deletedStates[w][ee]===null){this.deletedStates[w][ee]={};for(let se in this.state[w][ee])Q[se]||(this.deletedStates[w][ee][se]=null)}else for(let se in Q)this.deletedStates[w]&&this.deletedStates[w][ee]&&this.deletedStates[w][ee][se]===null&&delete this.deletedStates[w][ee][se]}removeFeatureState(w,B,Q){if(this.deletedStates[w]===null)return;let ee=String(B);if(this.deletedStates[w]=this.deletedStates[w]||{},Q&&B!==void 0)this.deletedStates[w][ee]!==null&&(this.deletedStates[w][ee]=this.deletedStates[w][ee]||{},this.deletedStates[w][ee][Q]=null);else if(B!==void 0)if(this.stateChanges[w]&&this.stateChanges[w][ee])for(Q in this.deletedStates[w][ee]={},this.stateChanges[w][ee])this.deletedStates[w][ee][Q]=null;else this.deletedStates[w][ee]=null;else this.deletedStates[w]=null}getState(w,B){let Q=String(B),ee=a.e({},(this.state[w]||{})[Q],(this.stateChanges[w]||{})[Q]);if(this.deletedStates[w]===null)return{};if(this.deletedStates[w]){let se=this.deletedStates[w][B];if(se===null)return{};for(let qe in se)delete ee[qe]}return ee}initializeTileState(w,B){w.setFeatureState(this.state,B)}coalesceChanges(w,B){let Q={};for(let ee in this.stateChanges){this.state[ee]=this.state[ee]||{};let se={};for(let qe in this.stateChanges[ee])this.state[ee][qe]||(this.state[ee][qe]={}),a.e(this.state[ee][qe],this.stateChanges[ee][qe]),se[qe]=this.state[ee][qe];Q[ee]=se}for(let ee in this.deletedStates){this.state[ee]=this.state[ee]||{};let se={};if(this.deletedStates[ee]===null)for(let qe in this.state[ee])se[qe]={},this.state[ee][qe]={};else for(let qe in this.deletedStates[ee]){if(this.deletedStates[ee][qe]===null)this.state[ee][qe]={};else for(let je of Object.keys(this.deletedStates[ee][qe]))delete this.state[ee][qe][je];se[qe]=this.state[ee][qe]}Q[ee]=Q[ee]||{},a.e(Q[ee],se)}if(this.stateChanges={},this.deletedStates={},Object.keys(Q).length!==0)for(let ee in w)w[ee].setFeatureState(Q,B)}}class dt extends a.E{constructor(w,B,Q){super(),this.id=w,this.dispatcher=Q,this.on(\"data\",ee=>this._dataHandler(ee)),this.on(\"dataloading\",()=>{this._sourceErrored=!1}),this.on(\"error\",()=>{this._sourceErrored=this._source.loaded()}),this._source=((ee,se,qe,je)=>{let it=new(xr(se.type))(ee,se,qe,je);if(it.id!==ee)throw new Error(`Expected Source id to be ${ee} instead of ${it.id}`);return it})(w,B,Q,this),this._tiles={},this._cache=new St(0,ee=>this._unloadTile(ee)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new Et,this._didEmitContent=!1,this._updated=!1}onAdd(w){this.map=w,this._maxTileCacheSize=w?w._maxTileCacheSize:null,this._maxTileCacheZoomLevels=w?w._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(w)}onRemove(w){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(w)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let w in this._tiles){let B=this._tiles[w];if(B.state!==\"loaded\"&&B.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let w=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,w&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(w,B,Q){return a._(this,void 0,void 0,function*(){try{yield this._source.loadTile(w),this._tileLoaded(w,B,Q)}catch(ee){w.state=\"errored\",ee.status!==404?this._source.fire(new a.j(ee,{tile:w})):this.update(this.transform,this.terrain)}})}_unloadTile(w){this._source.unloadTile&&this._source.unloadTile(w)}_abortTile(w){this._source.abortTile&&this._source.abortTile(w),this._source.fire(new a.k(\"dataabort\",{tile:w,coord:w.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(w){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let B in this._tiles){let Q=this._tiles[B];Q.upload(w),Q.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map(w=>w.tileID).sort(Ht).map(w=>w.key)}getRenderableIds(w){let B=[];for(let Q in this._tiles)this._isIdRenderable(Q,w)&&B.push(this._tiles[Q]);return w?B.sort((Q,ee)=>{let se=Q.tileID,qe=ee.tileID,je=new a.P(se.canonical.x,se.canonical.y)._rotate(this.transform.angle),it=new a.P(qe.canonical.x,qe.canonical.y)._rotate(this.transform.angle);return se.overscaledZ-qe.overscaledZ||it.y-je.y||it.x-je.x}).map(Q=>Q.tileID.key):B.map(Q=>Q.tileID).sort(Ht).map(Q=>Q.key)}hasRenderableParent(w){let B=this.findLoadedParent(w,0);return!!B&&this._isIdRenderable(B.tileID.key)}_isIdRenderable(w,B){return this._tiles[w]&&this._tiles[w].hasData()&&!this._coveredTiles[w]&&(B||!this._tiles[w].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let w in this._tiles)this._tiles[w].state!==\"errored\"&&this._reloadTile(w,\"reloading\")}}_reloadTile(w,B){return a._(this,void 0,void 0,function*(){let Q=this._tiles[w];Q&&(Q.state!==\"loading\"&&(Q.state=B),yield this._loadTile(Q,w,B))})}_tileLoaded(w,B,Q){w.timeAdded=u.now(),Q===\"expired\"&&(w.refreshedUponExpiration=!0),this._setTileReloadTimer(B,w),this.getSource().type===\"raster-dem\"&&w.dem&&this._backfillDEM(w),this._state.initializeTileState(w,this.map?this.map.painter:null),w.aborted||this._source.fire(new a.k(\"data\",{dataType:\"source\",tile:w,coord:w.tileID}))}_backfillDEM(w){let B=this.getRenderableIds();for(let ee=0;ee<B.length;ee++){let se=B[ee];if(w.neighboringTiles&&w.neighboringTiles[se]){let qe=this.getTileByID(se);Q(w,qe),Q(qe,w)}}function Q(ee,se){ee.needsHillshadePrepare=!0,ee.needsTerrainPrepare=!0;let qe=se.tileID.canonical.x-ee.tileID.canonical.x,je=se.tileID.canonical.y-ee.tileID.canonical.y,it=Math.pow(2,ee.tileID.canonical.z),yt=se.tileID.key;qe===0&&je===0||Math.abs(je)>1||(Math.abs(qe)>1&&(Math.abs(qe+it)===1?qe+=it:Math.abs(qe-it)===1&&(qe-=it)),se.dem&&ee.dem&&(ee.dem.backfillBorder(se.dem,qe,je),ee.neighboringTiles&&ee.neighboringTiles[yt]&&(ee.neighboringTiles[yt].backfilled=!0)))}}getTile(w){return this.getTileByID(w.key)}getTileByID(w){return this._tiles[w]}_retainLoadedChildren(w,B,Q,ee){for(let se in this._tiles){let qe=this._tiles[se];if(ee[se]||!qe.hasData()||qe.tileID.overscaledZ<=B||qe.tileID.overscaledZ>Q)continue;let je=qe.tileID;for(;qe&&qe.tileID.overscaledZ>B+1;){let yt=qe.tileID.scaledTo(qe.tileID.overscaledZ-1);qe=this._tiles[yt.key],qe&&qe.hasData()&&(je=yt)}let it=je;for(;it.overscaledZ>B;)if(it=it.scaledTo(it.overscaledZ-1),w[it.key]){ee[je.key]=je;break}}}findLoadedParent(w,B){if(w.key in this._loadedParentTiles){let Q=this._loadedParentTiles[w.key];return Q&&Q.tileID.overscaledZ>=B?Q:null}for(let Q=w.overscaledZ-1;Q>=B;Q--){let ee=w.scaledTo(Q),se=this._getLoadedTile(ee);if(se)return se}}findLoadedSibling(w){return this._getLoadedTile(w)}_getLoadedTile(w){let B=this._tiles[w.key];return B&&B.hasData()?B:this._cache.getByKey(w.wrapped().key)}updateCacheSize(w){let B=Math.ceil(w.width/this._source.tileSize)+1,Q=Math.ceil(w.height/this._source.tileSize)+1,ee=Math.floor(B*Q*(this._maxTileCacheZoomLevels===null?a.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),se=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,ee):ee;this._cache.setMaxSize(se)}handleWrapJump(w){let B=Math.round((w-(this._prevLng===void 0?w:this._prevLng))/360);if(this._prevLng=w,B){let Q={};for(let ee in this._tiles){let se=this._tiles[ee];se.tileID=se.tileID.unwrapTo(se.tileID.wrap+B),Q[se.tileID.key]=se}this._tiles=Q;for(let ee in this._timers)clearTimeout(this._timers[ee]),delete this._timers[ee];for(let ee in this._tiles)this._setTileReloadTimer(ee,this._tiles[ee])}}_updateCoveredAndRetainedTiles(w,B,Q,ee,se,qe){let je={},it={},yt=Object.keys(w),Ot=u.now();for(let Nt of yt){let hr=w[Nt],Sr=this._tiles[Nt];if(!Sr||Sr.fadeEndTime!==0&&Sr.fadeEndTime<=Ot)continue;let he=this.findLoadedParent(hr,B),be=this.findLoadedSibling(hr),Pe=he||be||null;Pe&&(this._addTile(Pe.tileID),je[Pe.tileID.key]=Pe.tileID),it[Nt]=hr}this._retainLoadedChildren(it,ee,Q,w);for(let Nt in je)w[Nt]||(this._coveredTiles[Nt]=!0,w[Nt]=je[Nt]);if(qe){let Nt={},hr={};for(let Sr of se)this._tiles[Sr.key].hasData()?Nt[Sr.key]=Sr:hr[Sr.key]=Sr;for(let Sr in hr){let he=hr[Sr].children(this._source.maxzoom);this._tiles[he[0].key]&&this._tiles[he[1].key]&&this._tiles[he[2].key]&&this._tiles[he[3].key]&&(Nt[he[0].key]=w[he[0].key]=he[0],Nt[he[1].key]=w[he[1].key]=he[1],Nt[he[2].key]=w[he[2].key]=he[2],Nt[he[3].key]=w[he[3].key]=he[3],delete hr[Sr])}for(let Sr in hr){let he=hr[Sr],be=this.findLoadedParent(he,this._source.minzoom),Pe=this.findLoadedSibling(he),Oe=be||Pe||null;if(Oe){Nt[Oe.tileID.key]=w[Oe.tileID.key]=Oe.tileID;for(let Je in Nt)Nt[Je].isChildOf(Oe.tileID)&&delete Nt[Je]}}for(let Sr in this._tiles)Nt[Sr]||(this._coveredTiles[Sr]=!0)}}update(w,B){if(!this._sourceLoaded||this._paused)return;let Q;this.transform=w,this.terrain=B,this.updateCacheSize(w),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?Q=w.getVisibleUnwrappedCoordinates(this._source.tileID).map(Ot=>new a.S(Ot.canonical.z,Ot.wrap,Ot.canonical.z,Ot.canonical.x,Ot.canonical.y)):(Q=w.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:B}),this._source.hasTile&&(Q=Q.filter(Ot=>this._source.hasTile(Ot)))):Q=[];let ee=w.coveringZoomLevel(this._source),se=Math.max(ee-dt.maxOverzooming,this._source.minzoom),qe=Math.max(ee+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let Ot={};for(let Nt of Q)if(Nt.canonical.z>this._source.minzoom){let hr=Nt.scaledTo(Nt.canonical.z-1);Ot[hr.key]=hr;let Sr=Nt.scaledTo(Math.max(this._source.minzoom,Math.min(Nt.canonical.z,5)));Ot[Sr.key]=Sr}Q=Q.concat(Object.values(Ot))}let je=Q.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,je&&this.fire(new a.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let it=this._updateRetainedTiles(Q,ee);$t(this._source.type)&&this._updateCoveredAndRetainedTiles(it,se,qe,ee,Q,B);for(let Ot in it)this._tiles[Ot].clearFadeHold();let yt=a.ab(this._tiles,it);for(let Ot of yt){let Nt=this._tiles[Ot];Nt.hasSymbolBuckets&&!Nt.holdingForFade()?Nt.setHoldDuration(this.map._fadeDuration):Nt.hasSymbolBuckets&&!Nt.symbolFadeFinished()||this._removeTile(Ot)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let w in this._tiles)this._tiles[w].holdingForFade()&&this._removeTile(w)}_updateRetainedTiles(w,B){var Q;let ee={},se={},qe=Math.max(B-dt.maxOverzooming,this._source.minzoom),je=Math.max(B+dt.maxUnderzooming,this._source.minzoom),it={};for(let yt of w){let Ot=this._addTile(yt);ee[yt.key]=yt,Ot.hasData()||B<this._source.maxzoom&&(it[yt.key]=yt)}this._retainLoadedChildren(it,B,je,ee);for(let yt of w){let Ot=this._tiles[yt.key];if(Ot.hasData())continue;if(B+1>this._source.maxzoom){let hr=yt.children(this._source.maxzoom)[0],Sr=this.getTile(hr);if(Sr&&Sr.hasData()){ee[hr.key]=hr;continue}}else{let hr=yt.children(this._source.maxzoom);if(ee[hr[0].key]&&ee[hr[1].key]&&ee[hr[2].key]&&ee[hr[3].key])continue}let Nt=Ot.wasRequested();for(let hr=yt.overscaledZ-1;hr>=qe;--hr){let Sr=yt.scaledTo(hr);if(se[Sr.key])break;if(se[Sr.key]=!0,Ot=this.getTile(Sr),!Ot&&Nt&&(Ot=this._addTile(Sr)),Ot){let he=Ot.hasData();if((he||!(!((Q=this.map)===null||Q===void 0)&&Q.cancelPendingTileRequestsWhileZooming)||Nt)&&(ee[Sr.key]=Sr),Nt=Ot.wasRequested(),he)break}}}return ee}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let w in this._tiles){let B=[],Q,ee=this._tiles[w].tileID;for(;ee.overscaledZ>0;){if(ee.key in this._loadedParentTiles){Q=this._loadedParentTiles[ee.key];break}B.push(ee.key);let se=ee.scaledTo(ee.overscaledZ-1);if(Q=this._getLoadedTile(se),Q)break;ee=se}for(let se of B)this._loadedParentTiles[se]=Q}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let w in this._tiles){let B=this._tiles[w].tileID,Q=this._getLoadedTile(B);this._loadedSiblingTiles[B.key]=Q}}_addTile(w){let B=this._tiles[w.key];if(B)return B;B=this._cache.getAndRemove(w),B&&(this._setTileReloadTimer(w.key,B),B.tileID=w,this._state.initializeTileState(B,this.map?this.map.painter:null),this._cacheTimers[w.key]&&(clearTimeout(this._cacheTimers[w.key]),delete this._cacheTimers[w.key],this._setTileReloadTimer(w.key,B)));let Q=B;return B||(B=new Lt(w,this._source.tileSize*w.overscaleFactor()),this._loadTile(B,w.key,B.state)),B.uses++,this._tiles[w.key]=B,Q||this._source.fire(new a.k(\"dataloading\",{tile:B,coord:B.tileID,dataType:\"source\"})),B}_setTileReloadTimer(w,B){w in this._timers&&(clearTimeout(this._timers[w]),delete this._timers[w]);let Q=B.getExpiryTimeout();Q&&(this._timers[w]=setTimeout(()=>{this._reloadTile(w,\"expired\"),delete this._timers[w]},Q))}_removeTile(w){let B=this._tiles[w];B&&(B.uses--,delete this._tiles[w],this._timers[w]&&(clearTimeout(this._timers[w]),delete this._timers[w]),B.uses>0||(B.hasData()&&B.state!==\"reloading\"?this._cache.add(B.tileID,B,B.getExpiryTimeout()):(B.aborted=!0,this._abortTile(B),this._unloadTile(B))))}_dataHandler(w){let B=w.sourceDataType;w.dataType===\"source\"&&B===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&w.dataType===\"source\"&&B===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let w in this._tiles)this._removeTile(w);this._cache.reset()}tilesIn(w,B,Q){let ee=[],se=this.transform;if(!se)return ee;let qe=Q?se.getCameraQueryGeometry(w):w,je=w.map(he=>se.pointCoordinate(he,this.terrain)),it=qe.map(he=>se.pointCoordinate(he,this.terrain)),yt=this.getIds(),Ot=1/0,Nt=1/0,hr=-1/0,Sr=-1/0;for(let he of it)Ot=Math.min(Ot,he.x),Nt=Math.min(Nt,he.y),hr=Math.max(hr,he.x),Sr=Math.max(Sr,he.y);for(let he=0;he<yt.length;he++){let be=this._tiles[yt[he]];if(be.holdingForFade())continue;let Pe=be.tileID,Oe=Math.pow(2,se.zoom-be.tileID.overscaledZ),Je=B*be.queryPadding*a.X/be.tileSize/Oe,He=[Pe.getTilePoint(new a.Z(Ot,Nt)),Pe.getTilePoint(new a.Z(hr,Sr))];if(He[0].x-Je<a.X&&He[0].y-Je<a.X&&He[1].x+Je>=0&&He[1].y+Je>=0){let et=je.map(Dt=>Pe.getTilePoint(Dt)),Mt=it.map(Dt=>Pe.getTilePoint(Dt));ee.push({tile:be,tileID:Pe,queryGeometry:et,cameraQueryGeometry:Mt,scale:Oe})}}return ee}getVisibleCoordinates(w){let B=this.getRenderableIds(w).map(Q=>this._tiles[Q].tileID);for(let Q of B)Q.posMatrix=this.transform.calculatePosMatrix(Q.toUnwrapped());return B}hasTransition(){if(this._source.hasTransition())return!0;if($t(this._source.type)){let w=u.now();for(let B in this._tiles)if(this._tiles[B].fadeEndTime>=w)return!0}return!1}setFeatureState(w,B,Q){this._state.updateState(w=w||\"_geojsonTileLayer\",B,Q)}removeFeatureState(w,B,Q){this._state.removeFeatureState(w=w||\"_geojsonTileLayer\",B,Q)}getFeatureState(w,B){return this._state.getState(w=w||\"_geojsonTileLayer\",B)}setDependencies(w,B,Q){let ee=this._tiles[w];ee&&ee.setDependencies(B,Q)}reloadTilesForDependencies(w,B){for(let Q in this._tiles)this._tiles[Q].hasDependency(w,B)&&this._reloadTile(Q,\"reloading\");this._cache.filter(Q=>!Q.hasDependency(w,B))}}function Ht(le,w){let B=Math.abs(2*le.wrap)-+(le.wrap<0),Q=Math.abs(2*w.wrap)-+(w.wrap<0);return le.overscaledZ-w.overscaledZ||Q-B||w.canonical.y-le.canonical.y||w.canonical.x-le.canonical.x}function $t(le){return le===\"raster\"||le===\"image\"||le===\"video\"}dt.maxOverzooming=10,dt.maxUnderzooming=3;class fr{constructor(w,B){this.reset(w,B)}reset(w,B){this.points=w||[],this._distances=[0];for(let Q=1;Q<this.points.length;Q++)this._distances[Q]=this._distances[Q-1]+this.points[Q].dist(this.points[Q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(B||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(w){if(this.points.length===1)return this.points[0];w=a.ac(w,0,1);let B=1,Q=this._distances[B],ee=w*this.paddedLength+this.padding;for(;Q<ee&&B<this._distances.length;)Q=this._distances[++B];let se=B-1,qe=this._distances[se],je=Q-qe,it=je>0?(ee-qe)/je:0;return this.points[se].mult(1-it).add(this.points[B].mult(it))}}function _r(le,w){let B=!0;return le===\"always\"||le!==\"never\"&&w!==\"never\"||(B=!1),B}class Br{constructor(w,B,Q){let ee=this.boxCells=[],se=this.circleCells=[];this.xCellCount=Math.ceil(w/Q),this.yCellCount=Math.ceil(B/Q);for(let qe=0;qe<this.xCellCount*this.yCellCount;qe++)ee.push([]),se.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=w,this.height=B,this.xScale=this.xCellCount/w,this.yScale=this.yCellCount/B,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(w,B,Q,ee,se){this._forEachCell(B,Q,ee,se,this._insertBoxCell,this.boxUid++),this.boxKeys.push(w),this.bboxes.push(B),this.bboxes.push(Q),this.bboxes.push(ee),this.bboxes.push(se)}insertCircle(w,B,Q,ee){this._forEachCell(B-ee,Q-ee,B+ee,Q+ee,this._insertCircleCell,this.circleUid++),this.circleKeys.push(w),this.circles.push(B),this.circles.push(Q),this.circles.push(ee)}_insertBoxCell(w,B,Q,ee,se,qe){this.boxCells[se].push(qe)}_insertCircleCell(w,B,Q,ee,se,qe){this.circleCells[se].push(qe)}_query(w,B,Q,ee,se,qe,je){if(Q<0||w>this.width||ee<0||B>this.height)return[];let it=[];if(w<=0&&B<=0&&this.width<=Q&&this.height<=ee){if(se)return[{key:null,x1:w,y1:B,x2:Q,y2:ee}];for(let yt=0;yt<this.boxKeys.length;yt++)it.push({key:this.boxKeys[yt],x1:this.bboxes[4*yt],y1:this.bboxes[4*yt+1],x2:this.bboxes[4*yt+2],y2:this.bboxes[4*yt+3]});for(let yt=0;yt<this.circleKeys.length;yt++){let Ot=this.circles[3*yt],Nt=this.circles[3*yt+1],hr=this.circles[3*yt+2];it.push({key:this.circleKeys[yt],x1:Ot-hr,y1:Nt-hr,x2:Ot+hr,y2:Nt+hr})}}else this._forEachCell(w,B,Q,ee,this._queryCell,it,{hitTest:se,overlapMode:qe,seenUids:{box:{},circle:{}}},je);return it}query(w,B,Q,ee){return this._query(w,B,Q,ee,!1,null)}hitTest(w,B,Q,ee,se,qe){return this._query(w,B,Q,ee,!0,se,qe).length>0}hitTestCircle(w,B,Q,ee,se){let qe=w-Q,je=w+Q,it=B-Q,yt=B+Q;if(je<0||qe>this.width||yt<0||it>this.height)return!1;let Ot=[];return this._forEachCell(qe,it,je,yt,this._queryCellCircle,Ot,{hitTest:!0,overlapMode:ee,circle:{x:w,y:B,radius:Q},seenUids:{box:{},circle:{}}},se),Ot.length>0}_queryCell(w,B,Q,ee,se,qe,je,it){let{seenUids:yt,hitTest:Ot,overlapMode:Nt}=je,hr=this.boxCells[se];if(hr!==null){let he=this.bboxes;for(let be of hr)if(!yt.box[be]){yt.box[be]=!0;let Pe=4*be,Oe=this.boxKeys[be];if(w<=he[Pe+2]&&B<=he[Pe+3]&&Q>=he[Pe+0]&&ee>=he[Pe+1]&&(!it||it(Oe))&&(!Ot||!_r(Nt,Oe.overlapMode))&&(qe.push({key:Oe,x1:he[Pe],y1:he[Pe+1],x2:he[Pe+2],y2:he[Pe+3]}),Ot))return!0}}let Sr=this.circleCells[se];if(Sr!==null){let he=this.circles;for(let be of Sr)if(!yt.circle[be]){yt.circle[be]=!0;let Pe=3*be,Oe=this.circleKeys[be];if(this._circleAndRectCollide(he[Pe],he[Pe+1],he[Pe+2],w,B,Q,ee)&&(!it||it(Oe))&&(!Ot||!_r(Nt,Oe.overlapMode))){let Je=he[Pe],He=he[Pe+1],et=he[Pe+2];if(qe.push({key:Oe,x1:Je-et,y1:He-et,x2:Je+et,y2:He+et}),Ot)return!0}}}return!1}_queryCellCircle(w,B,Q,ee,se,qe,je,it){let{circle:yt,seenUids:Ot,overlapMode:Nt}=je,hr=this.boxCells[se];if(hr!==null){let he=this.bboxes;for(let be of hr)if(!Ot.box[be]){Ot.box[be]=!0;let Pe=4*be,Oe=this.boxKeys[be];if(this._circleAndRectCollide(yt.x,yt.y,yt.radius,he[Pe+0],he[Pe+1],he[Pe+2],he[Pe+3])&&(!it||it(Oe))&&!_r(Nt,Oe.overlapMode))return qe.push(!0),!0}}let Sr=this.circleCells[se];if(Sr!==null){let he=this.circles;for(let be of Sr)if(!Ot.circle[be]){Ot.circle[be]=!0;let Pe=3*be,Oe=this.circleKeys[be];if(this._circlesCollide(he[Pe],he[Pe+1],he[Pe+2],yt.x,yt.y,yt.radius)&&(!it||it(Oe))&&!_r(Nt,Oe.overlapMode))return qe.push(!0),!0}}}_forEachCell(w,B,Q,ee,se,qe,je,it){let yt=this._convertToXCellCoord(w),Ot=this._convertToYCellCoord(B),Nt=this._convertToXCellCoord(Q),hr=this._convertToYCellCoord(ee);for(let Sr=yt;Sr<=Nt;Sr++)for(let he=Ot;he<=hr;he++)if(se.call(this,w,B,Q,ee,this.xCellCount*he+Sr,qe,je,it))return}_convertToXCellCoord(w){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(w*this.xScale)))}_convertToYCellCoord(w){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(w*this.yScale)))}_circlesCollide(w,B,Q,ee,se,qe){let je=ee-w,it=se-B,yt=Q+qe;return yt*yt>je*je+it*it}_circleAndRectCollide(w,B,Q,ee,se,qe,je){let it=(qe-ee)/2,yt=Math.abs(w-(ee+it));if(yt>it+Q)return!1;let Ot=(je-se)/2,Nt=Math.abs(B-(se+Ot));if(Nt>Ot+Q)return!1;if(yt<=it||Nt<=Ot)return!0;let hr=yt-it,Sr=Nt-Ot;return hr*hr+Sr*Sr<=Q*Q}}function Or(le,w,B,Q,ee){let se=a.H();return w?(a.K(se,se,[1/ee,1/ee,1]),B||a.ad(se,se,Q.angle)):a.L(se,Q.labelPlaneMatrix,le),se}function Nr(le,w,B,Q,ee){if(w){let se=a.ae(le);return a.K(se,se,[ee,ee,1]),B||a.ad(se,se,-Q.angle),se}return Q.glCoordMatrix}function ut(le,w,B,Q){let ee;Q?(ee=[le,w,Q(le,w),1],a.af(ee,ee,B)):(ee=[le,w,0,1],jr(ee,ee,B));let se=ee[3];return{point:new a.P(ee[0]/se,ee[1]/se),signedDistanceFromCamera:se,isOccluded:!1}}function Ne(le,w){return .5+le/w*.5}function Ye(le,w){return le.x>=-w[0]&&le.x<=w[0]&&le.y>=-w[1]&&le.y<=w[1]}function Ve(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he){let be=Q?le.textSizeData:le.iconSizeData,Pe=a.ag(be,B.transform.zoom),Oe=[256/B.width*2+1,256/B.height*2+1],Je=Q?le.text.dynamicLayoutVertexArray:le.icon.dynamicLayoutVertexArray;Je.clear();let He=le.lineVertexArray,et=Q?le.text.placedSymbolArray:le.icon.placedSymbolArray,Mt=B.transform.width/B.transform.height,Dt=!1;for(let Ut=0;Ut<et.length;Ut++){let tr=et.get(Ut);if(tr.hidden||tr.writingMode===a.ah.vertical&&!Dt){ai(tr.numGlyphs,Je);continue}Dt=!1;let mr=ut(tr.anchorX,tr.anchorY,w,he);if(!Ye(mr.point,Oe)){ai(tr.numGlyphs,Je);continue}let Rr=Ne(B.transform.cameraToCenterDistance,mr.signedDistanceFromCamera),zr=a.ai(be,Pe,tr),Xr=qe?zr/Rr:zr*Rr,di={getElevation:he,labelPlaneMatrix:ee,lineVertexArray:He,pitchWithMap:qe,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:yt,tileAnchorPoint:new a.P(tr.anchorX,tr.anchorY),unwrappedTileID:Ot,width:Nt,height:hr,translation:Sr},Li=Le(di,tr,Xr,!1,je,w,se,le.glyphOffsetArray,Je,Mt,it);Dt=Li.useVertical,(Li.notEnoughRoom||Dt||Li.needsFlipping&&Le(di,tr,Xr,!0,je,w,se,le.glyphOffsetArray,Je,Mt,it).notEnoughRoom)&&ai(tr.numGlyphs,Je)}Q?le.text.dynamicLayoutVertexBuffer.updateData(Je):le.icon.dynamicLayoutVertexBuffer.updateData(Je)}function Xe(le,w,B,Q,ee,se,qe,je){let it=se.glyphStartIndex+se.numGlyphs,yt=se.lineStartIndex,Ot=se.lineStartIndex+se.lineLength,Nt=w.getoffsetX(se.glyphStartIndex),hr=w.getoffsetX(it-1),Sr=ar(le*Nt,B,Q,ee,se.segment,yt,Ot,je,qe);if(!Sr)return null;let he=ar(le*hr,B,Q,ee,se.segment,yt,Ot,je,qe);return he?je.projectionCache.anyProjectionOccluded?null:{first:Sr,last:he}:null}function ht(le,w,B,Q){return le===a.ah.horizontal&&Math.abs(B.y-w.y)>Math.abs(B.x-w.x)*Q?{useVertical:!0}:(le===a.ah.vertical?w.y<B.y:w.x>B.x)?{needsFlipping:!0}:null}function Le(le,w,B,Q,ee,se,qe,je,it,yt,Ot){let Nt=B/24,hr=w.lineOffsetX*Nt,Sr=w.lineOffsetY*Nt,he;if(w.numGlyphs>1){let be=w.glyphStartIndex+w.numGlyphs,Pe=w.lineStartIndex,Oe=w.lineStartIndex+w.lineLength,Je=Xe(Nt,je,hr,Sr,Q,w,Ot,le);if(!Je)return{notEnoughRoom:!0};let He=ut(Je.first.point.x,Je.first.point.y,qe,le.getElevation).point,et=ut(Je.last.point.x,Je.last.point.y,qe,le.getElevation).point;if(ee&&!Q){let Mt=ht(w.writingMode,He,et,yt);if(Mt)return Mt}he=[Je.first];for(let Mt=w.glyphStartIndex+1;Mt<be-1;Mt++)he.push(ar(Nt*je.getoffsetX(Mt),hr,Sr,Q,w.segment,Pe,Oe,le,Ot));he.push(Je.last)}else{if(ee&&!Q){let Pe=ut(le.tileAnchorPoint.x,le.tileAnchorPoint.y,se,le.getElevation).point,Oe=w.lineStartIndex+w.segment+1,Je=new a.P(le.lineVertexArray.getx(Oe),le.lineVertexArray.gety(Oe)),He=ut(Je.x,Je.y,se,le.getElevation),et=He.signedDistanceFromCamera>0?He.point:function(Dt,Ut,tr,mr,Rr,zr){return xe(Dt,Ut,tr,1,Rr,zr)}(le.tileAnchorPoint,Je,Pe,0,se,le),Mt=ht(w.writingMode,Pe,et,yt);if(Mt)return Mt}let be=ar(Nt*je.getoffsetX(w.glyphStartIndex),hr,Sr,Q,w.segment,w.lineStartIndex,w.lineStartIndex+w.lineLength,le,Ot);if(!be||le.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};he=[be]}for(let be of he)a.aj(it,be.point,be.angle);return{}}function xe(le,w,B,Q,ee,se){let qe=le.add(le.sub(w)._unit()),je=ee!==void 0?ut(qe.x,qe.y,ee,se.getElevation).point:lt(qe.x,qe.y,se).point,it=B.sub(je);return B.add(it._mult(Q/it.mag()))}function Se(le,w,B){let Q=w.projectionCache;if(Q.projections[le])return Q.projections[le];let ee=new a.P(w.lineVertexArray.getx(le),w.lineVertexArray.gety(le)),se=lt(ee.x,ee.y,w);if(se.signedDistanceFromCamera>0)return Q.projections[le]=se.point,Q.anyProjectionOccluded=Q.anyProjectionOccluded||se.isOccluded,se.point;let qe=le-B.direction;return function(je,it,yt,Ot,Nt){return xe(je,it,yt,Ot,void 0,Nt)}(B.distanceFromAnchor===0?w.tileAnchorPoint:new a.P(w.lineVertexArray.getx(qe),w.lineVertexArray.gety(qe)),ee,B.previousVertex,B.absOffsetX-B.distanceFromAnchor+1,w)}function lt(le,w,B){let Q=le+B.translation[0],ee=w+B.translation[1],se;return!B.pitchWithMap&&B.projection.useSpecialProjectionForSymbols?(se=B.projection.projectTileCoordinates(Q,ee,B.unwrappedTileID,B.getElevation),se.point.x=(.5*se.point.x+.5)*B.width,se.point.y=(.5*-se.point.y+.5)*B.height):(se=ut(Q,ee,B.labelPlaneMatrix,B.getElevation),se.isOccluded=!1),se}function Gt(le,w,B){return le._unit()._perp()._mult(w*B)}function Vt(le,w,B,Q,ee,se,qe,je,it){if(je.projectionCache.offsets[le])return je.projectionCache.offsets[le];let yt=B.add(w);if(le+it.direction<Q||le+it.direction>=ee)return je.projectionCache.offsets[le]=yt,yt;let Ot=Se(le+it.direction,je,it),Nt=Gt(Ot.sub(B),qe,it.direction),hr=B.add(Nt),Sr=Ot.add(Nt);return je.projectionCache.offsets[le]=a.ak(se,yt,hr,Sr)||yt,je.projectionCache.offsets[le]}function ar(le,w,B,Q,ee,se,qe,je,it){let yt=Q?le-w:le+w,Ot=yt>0?1:-1,Nt=0;Q&&(Ot*=-1,Nt=Math.PI),Ot<0&&(Nt+=Math.PI);let hr,Sr=Ot>0?se+ee:se+ee+1;je.projectionCache.cachedAnchorPoint?hr=je.projectionCache.cachedAnchorPoint:(hr=lt(je.tileAnchorPoint.x,je.tileAnchorPoint.y,je).point,je.projectionCache.cachedAnchorPoint=hr);let he,be,Pe=hr,Oe=hr,Je=0,He=0,et=Math.abs(yt),Mt=[],Dt;for(;Je+He<=et;){if(Sr+=Ot,Sr<se||Sr>=qe)return null;Je+=He,Oe=Pe,be=he;let mr={absOffsetX:et,direction:Ot,distanceFromAnchor:Je,previousVertex:Oe};if(Pe=Se(Sr,je,mr),B===0)Mt.push(Oe),Dt=Pe.sub(Oe);else{let Rr,zr=Pe.sub(Oe);Rr=zr.mag()===0?Gt(Se(Sr+Ot,je,mr).sub(Pe),B,Ot):Gt(zr,B,Ot),be||(be=Oe.add(Rr)),he=Vt(Sr,Rr,Pe,se,qe,be,B,je,mr),Mt.push(be),Dt=he.sub(be)}He=Dt.mag()}let Ut=Dt._mult((et-Je)/He)._add(be||Oe),tr=Nt+Math.atan2(Pe.y-Oe.y,Pe.x-Oe.x);return Mt.push(Ut),{point:Ut,angle:it?tr:0,path:Mt}}let Qr=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ai(le,w){for(let B=0;B<le;B++){let Q=w.length;w.resize(Q+4),w.float32.set(Qr,3*Q)}}function jr(le,w,B){let Q=w[0],ee=w[1];return le[0]=B[0]*Q+B[4]*ee+B[12],le[1]=B[1]*Q+B[5]*ee+B[13],le[3]=B[3]*Q+B[7]*ee+B[15],le}let ri=100;class bi{constructor(w,B,Q=new Br(w.width+200,w.height+200,25),ee=new Br(w.width+200,w.height+200,25)){this.transform=w,this.mapProjection=B,this.grid=Q,this.ignoredGrid=ee,this.pitchFactor=Math.cos(w._pitch)*w.cameraToCenterDistance,this.screenRightBoundary=w.width+ri,this.screenBottomBoundary=w.height+ri,this.gridRightBoundary=w.width+200,this.gridBottomBoundary=w.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt){let hr=w.anchorPointX+it[0],Sr=w.anchorPointY+it[1],he=this.projectAndGetPerspectiveRatio(ee,hr,Sr,se,Ot),be=Q*he.perspectiveRatio,Pe;if(qe||je)Pe=this._projectCollisionBox(w,be,ee,se,qe,je,it,he,Ot,Nt);else{let Mt=he.point.x+(Nt?Nt.x*be:0),Dt=he.point.y+(Nt?Nt.y*be:0);Pe={allPointsOccluded:!1,box:[Mt+w.x1*be,Dt+w.y1*be,Mt+w.x2*be,Dt+w.y2*be]}}let[Oe,Je,He,et]=Pe.box;return this.mapProjection.useSpecialProjectionForSymbols&&(qe?Pe.allPointsOccluded:this.mapProjection.isOccluded(hr,Sr,se))||he.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(Oe,Je,He,et)||B!==\"always\"&&this.grid.hitTest(Oe,Je,He,et,B,yt)?{box:[Oe,Je,He,et],placeable:!1,offscreen:!1}:{box:[Oe,Je,He,et],placeable:!0,offscreen:this.isOffscreen(Oe,Je,He,et)}}placeCollisionCircles(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he,be,Pe){let Oe=[],Je=new a.P(B.anchorX,B.anchorY),He=this.getPerspectiveRatio(qe,Je.x,Je.y,je,Pe),et=(Nt?se/He:se*He)/a.ap,Mt={getElevation:Pe,labelPlaneMatrix:it,lineVertexArray:Q,pitchWithMap:Nt,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:Je,unwrappedTileID:je,width:this.transform.width,height:this.transform.height,translation:be},Dt=Xe(et,ee,B.lineOffsetX*et,B.lineOffsetY*et,!1,B,!1,Mt),Ut=!1,tr=!1,mr=!0;if(Dt){let Rr=.5*Sr*He+he,zr=new a.P(-100,-100),Xr=new a.P(this.screenRightBoundary,this.screenBottomBoundary),di=new fr,Li=Dt.first,Ci=Dt.last,Qi=[];for(let ea=Li.path.length-1;ea>=1;ea--)Qi.push(Li.path[ea]);for(let ea=1;ea<Ci.path.length;ea++)Qi.push(Ci.path[ea]);let Mn=2.5*Rr;if(yt){let ea=this.projectPathToScreenSpace(Qi,Mt,yt);Qi=ea.some(Ga=>Ga.signedDistanceFromCamera<=0)?[]:ea.map(Ga=>Ga.point)}let pa=[];if(Qi.length>0){let ea=Qi[0].clone(),Ga=Qi[0].clone();for(let To=1;To<Qi.length;To++)ea.x=Math.min(ea.x,Qi[To].x),ea.y=Math.min(ea.y,Qi[To].y),Ga.x=Math.max(Ga.x,Qi[To].x),Ga.y=Math.max(Ga.y,Qi[To].y);pa=ea.x>=zr.x&&Ga.x<=Xr.x&&ea.y>=zr.y&&Ga.y<=Xr.y?[Qi]:Ga.x<zr.x||ea.x>Xr.x||Ga.y<zr.y||ea.y>Xr.y?[]:a.al([Qi],zr.x,zr.y,Xr.x,Xr.y)}for(let ea of pa){di.reset(ea,.25*Rr);let Ga=0;Ga=di.length<=.5*Rr?1:Math.ceil(di.paddedLength/Mn)+1;for(let To=0;To<Ga;To++){let Wa=To/Math.max(Ga-1,1),co=di.lerp(Wa),Ro=co.x+ri,Ds=co.y+ri;Oe.push(Ro,Ds,Rr,0);let As=Ro-Rr,yo=Ds-Rr,po=Ro+Rr,_l=Ds+Rr;if(mr=mr&&this.isOffscreen(As,yo,po,_l),tr=tr||this.isInsideGrid(As,yo,po,_l),w!==\"always\"&&this.grid.hitTestCircle(Ro,Ds,Rr,w,hr)&&(Ut=!0,!Ot))return{circles:[],offscreen:!1,collisionDetected:Ut}}}}return{circles:!Ot&&Ut||!tr||He<this.perspectiveRatioCutoff?[]:Oe,offscreen:mr,collisionDetected:Ut}}projectPathToScreenSpace(w,B,Q){return w.map(ee=>ut(ee.x,ee.y,Q,B.getElevation))}queryRenderedSymbols(w){if(w.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let B=[],Q=1/0,ee=1/0,se=-1/0,qe=-1/0;for(let Ot of w){let Nt=new a.P(Ot.x+ri,Ot.y+ri);Q=Math.min(Q,Nt.x),ee=Math.min(ee,Nt.y),se=Math.max(se,Nt.x),qe=Math.max(qe,Nt.y),B.push(Nt)}let je=this.grid.query(Q,ee,se,qe).concat(this.ignoredGrid.query(Q,ee,se,qe)),it={},yt={};for(let Ot of je){let Nt=Ot.key;if(it[Nt.bucketInstanceId]===void 0&&(it[Nt.bucketInstanceId]={}),it[Nt.bucketInstanceId][Nt.featureIndex])continue;let hr=[new a.P(Ot.x1,Ot.y1),new a.P(Ot.x2,Ot.y1),new a.P(Ot.x2,Ot.y2),new a.P(Ot.x1,Ot.y2)];a.am(B,hr)&&(it[Nt.bucketInstanceId][Nt.featureIndex]=!0,yt[Nt.bucketInstanceId]===void 0&&(yt[Nt.bucketInstanceId]=[]),yt[Nt.bucketInstanceId].push(Nt.featureIndex))}return yt}insertCollisionBox(w,B,Q,ee,se,qe){(Q?this.ignoredGrid:this.grid).insert({bucketInstanceId:ee,featureIndex:se,collisionGroupID:qe,overlapMode:B},w[0],w[1],w[2],w[3])}insertCollisionCircles(w,B,Q,ee,se,qe){let je=Q?this.ignoredGrid:this.grid,it={bucketInstanceId:ee,featureIndex:se,collisionGroupID:qe,overlapMode:B};for(let yt=0;yt<w.length;yt+=4)je.insertCircle(it,w[yt],w[yt+1],w[yt+2])}projectAndGetPerspectiveRatio(w,B,Q,ee,se){let qe;se?(qe=[B,Q,se(B,Q),1],a.af(qe,qe,w)):(qe=[B,Q,0,1],jr(qe,qe,w));let je=qe[3];return{point:new a.P((qe[0]/je+1)/2*this.transform.width+ri,(-qe[1]/je+1)/2*this.transform.height+ri),perspectiveRatio:.5+this.transform.cameraToCenterDistance/je*.5,isOccluded:!1,signedDistanceFromCamera:je}}getPerspectiveRatio(w,B,Q,ee,se){let qe=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(B,Q,ee,se):ut(B,Q,w,se);return .5+this.transform.cameraToCenterDistance/qe.signedDistanceFromCamera*.5}isOffscreen(w,B,Q,ee){return Q<ri||w>=this.screenRightBoundary||ee<ri||B>this.screenBottomBoundary}isInsideGrid(w,B,Q,ee){return Q>=0&&w<this.gridRightBoundary&&ee>=0&&B<this.gridBottomBoundary}getViewportMatrix(){let w=a.an([]);return a.J(w,w,[-100,-100,0]),w}_projectCollisionBox(w,B,Q,ee,se,qe,je,it,yt,Ot){let Nt=new a.P(1,0),hr=new a.P(0,1),Sr=new a.P(w.anchorPointX+je[0],w.anchorPointY+je[1]);if(qe&&!se){let mr=this.projectAndGetPerspectiveRatio(Q,Sr.x+1,Sr.y,ee,yt).point.sub(it.point).unit(),Rr=Math.atan(mr.y/mr.x)+(mr.x<0?Math.PI:0),zr=Math.sin(Rr),Xr=Math.cos(Rr);Nt=new a.P(Xr,zr),hr=new a.P(-zr,Xr)}else if(!qe&&se){let mr=-this.transform.angle,Rr=Math.sin(mr),zr=Math.cos(mr);Nt=new a.P(zr,Rr),hr=new a.P(-Rr,zr)}let he=it.point,be=B;if(se){he=Sr;let mr=this.transform.zoom-Math.floor(this.transform.zoom);be=Math.pow(2,-mr),be*=this.mapProjection.getPitchedTextCorrection(this.transform,Sr,ee),Ot||(be*=a.ac(.5+it.signedDistanceFromCamera/this.transform.cameraToCenterDistance*.5,0,4))}Ot&&(he=he.add(Nt.mult(Ot.x*be)).add(hr.mult(Ot.y*be)));let Pe=w.x1*be,Oe=w.x2*be,Je=(Pe+Oe)/2,He=w.y1*be,et=w.y2*be,Mt=(He+et)/2,Dt=[{offsetX:Pe,offsetY:He},{offsetX:Je,offsetY:He},{offsetX:Oe,offsetY:He},{offsetX:Oe,offsetY:Mt},{offsetX:Oe,offsetY:et},{offsetX:Je,offsetY:et},{offsetX:Pe,offsetY:et},{offsetX:Pe,offsetY:Mt}],Ut=[];for(let{offsetX:mr,offsetY:Rr}of Dt)Ut.push(new a.P(he.x+Nt.x*mr+hr.x*Rr,he.y+Nt.y*mr+hr.y*Rr));let tr=!1;if(se){let mr=Ut.map(Rr=>this.projectAndGetPerspectiveRatio(Q,Rr.x,Rr.y,ee,yt));tr=mr.some(Rr=>!Rr.isOccluded),Ut=mr.map(Rr=>Rr.point)}else tr=!0;return{box:a.ao(Ut),allPointsOccluded:!tr}}}function nn(le,w,B){return w*(a.X/(le.tileSize*Math.pow(2,B-le.tileID.overscaledZ)))}class Wi{constructor(w,B,Q,ee){this.opacity=w?Math.max(0,Math.min(1,w.opacity+(w.placed?B:-B))):ee&&Q?1:0,this.placed=Q}isHidden(){return this.opacity===0&&!this.placed}}class Ni{constructor(w,B,Q,ee,se){this.text=new Wi(w?w.text:null,B,Q,se),this.icon=new Wi(w?w.icon:null,B,ee,se)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class _n{constructor(w,B,Q){this.text=w,this.icon=B,this.skipFade=Q}}class $i{constructor(){this.invProjMatrix=a.H(),this.viewportMatrix=a.H(),this.circles=[]}}class zn{constructor(w,B,Q,ee,se){this.bucketInstanceId=w,this.featureIndex=B,this.sourceLayerIndex=Q,this.bucketIndex=ee,this.tileID=se}}class Wn{constructor(w){this.crossSourceCollisions=w,this.maxGroupID=0,this.collisionGroups={}}get(w){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[w]){let B=++this.maxGroupID;this.collisionGroups[w]={ID:B,predicate:Q=>Q.collisionGroupID===B}}return this.collisionGroups[w]}}function It(le,w,B,Q,ee){let{horizontalAlign:se,verticalAlign:qe}=a.au(le);return new a.P(-(se-.5)*w+Q[0]*ee,-(qe-.5)*B+Q[1]*ee)}class ft{constructor(w,B,Q,ee,se,qe){this.transform=w.clone(),this.terrain=Q,this.collisionIndex=new bi(this.transform,B),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ee,this.retainedQueryData={},this.collisionGroups=new Wn(se),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=qe,qe&&(qe.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(w){let B=this.terrain;return B?(Q,ee)=>B.getElevation(w,Q,ee):null}getBucketParts(w,B,Q,ee){let se=Q.getBucket(B),qe=Q.latestFeatureIndex;if(!se||!qe||B.id!==se.layerIds[0])return;let je=Q.collisionBoxArray,it=se.layers[0].layout,yt=se.layers[0].paint,Ot=Math.pow(2,this.transform.zoom-Q.tileID.overscaledZ),Nt=Q.tileSize/a.X,hr=Q.tileID.toUnwrapped(),Sr=this.transform.calculatePosMatrix(hr),he=it.get(\"text-pitch-alignment\")===\"map\",be=it.get(\"text-rotation-alignment\")===\"map\",Pe=nn(Q,1,this.transform.zoom),Oe=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,yt.get(\"text-translate\"),yt.get(\"text-translate-anchor\")),Je=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,yt.get(\"icon-translate\"),yt.get(\"icon-translate-anchor\")),He=Or(Sr,he,be,this.transform,Pe),et=null;if(he){let Dt=Nr(Sr,he,be,this.transform,Pe);et=a.L([],this.transform.labelPlaneMatrix,Dt)}this.retainedQueryData[se.bucketInstanceId]=new zn(se.bucketInstanceId,qe,se.sourceLayerIndex,se.index,Q.tileID);let Mt={bucket:se,layout:it,translationText:Oe,translationIcon:Je,posMatrix:Sr,unwrappedTileID:hr,textLabelPlaneMatrix:He,labelToScreenMatrix:et,scale:Ot,textPixelRatio:Nt,holdingForFade:Q.holdingForFade(),collisionBoxArray:je,partiallyEvaluatedTextSize:a.ag(se.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(se.sourceID)};if(ee)for(let Dt of se.sortKeyRanges){let{sortKey:Ut,symbolInstanceStart:tr,symbolInstanceEnd:mr}=Dt;w.push({sortKey:Ut,symbolInstanceStart:tr,symbolInstanceEnd:mr,parameters:Mt})}else w.push({symbolInstanceStart:0,symbolInstanceEnd:se.symbolInstances.length,parameters:Mt})}attemptAnchorPlacement(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he,be,Pe,Oe,Je,He){let et=a.aq[w.textAnchor],Mt=[w.textOffset0,w.textOffset1],Dt=It(et,Q,ee,Mt,se),Ut=this.collisionIndex.placeCollisionBox(B,hr,it,yt,Ot,je,qe,Pe,Nt.predicate,He,Dt);if((!Je||this.collisionIndex.placeCollisionBox(Je,hr,it,yt,Ot,je,qe,Oe,Nt.predicate,He,Dt).placeable)&&Ut.placeable){let tr;if(this.prevPlacement&&this.prevPlacement.variableOffsets[Sr.crossTileID]&&this.prevPlacement.placements[Sr.crossTileID]&&this.prevPlacement.placements[Sr.crossTileID].text&&(tr=this.prevPlacement.variableOffsets[Sr.crossTileID].anchor),Sr.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[Sr.crossTileID]={textOffset:Mt,width:Q,height:ee,anchor:et,textBoxScale:se,prevAnchor:tr},this.markUsedJustification(he,et,Sr,be),he.allowVerticalPlacement&&(this.markUsedOrientation(he,be,Sr),this.placedOrientations[Sr.crossTileID]=be),{shift:Dt,placedGlyphBoxes:Ut}}}placeLayerBucketPart(w,B,Q){let{bucket:ee,layout:se,translationText:qe,translationIcon:je,posMatrix:it,unwrappedTileID:yt,textLabelPlaneMatrix:Ot,labelToScreenMatrix:Nt,textPixelRatio:hr,holdingForFade:Sr,collisionBoxArray:he,partiallyEvaluatedTextSize:be,collisionGroup:Pe}=w.parameters,Oe=se.get(\"text-optional\"),Je=se.get(\"icon-optional\"),He=a.ar(se,\"text-overlap\",\"text-allow-overlap\"),et=He===\"always\",Mt=a.ar(se,\"icon-overlap\",\"icon-allow-overlap\"),Dt=Mt===\"always\",Ut=se.get(\"text-rotation-alignment\")===\"map\",tr=se.get(\"text-pitch-alignment\")===\"map\",mr=se.get(\"icon-text-fit\")!==\"none\",Rr=se.get(\"symbol-z-order\")===\"viewport-y\",zr=et&&(Dt||!ee.hasIconData()||Je),Xr=Dt&&(et||!ee.hasTextData()||Oe);!ee.collisionArrays&&he&&ee.deserializeCollisionBoxes(he);let di=this._getTerrainElevationFunc(this.retainedQueryData[ee.bucketInstanceId].tileID),Li=(Ci,Qi,Mn)=>{var pa,ea;if(B[Ci.crossTileID])return;if(Sr)return void(this.placements[Ci.crossTileID]=new _n(!1,!1,!1));let Ga=!1,To=!1,Wa=!0,co=null,Ro={box:null,placeable:!1,offscreen:null},Ds={box:null,placeable:!1,offscreen:null},As=null,yo=null,po=null,_l=0,Vl=0,Zu=0;Qi.textFeatureIndex?_l=Qi.textFeatureIndex:Ci.useRuntimeCollisionCircles&&(_l=Ci.featureIndex),Qi.verticalTextFeatureIndex&&(Vl=Qi.verticalTextFeatureIndex);let cu=Qi.textBox;if(cu){let Dl=we=>{let Be=a.ah.horizontal;if(ee.allowVerticalPlacement&&!we&&this.prevPlacement){let Ue=this.prevPlacement.placedOrientations[Ci.crossTileID];Ue&&(this.placedOrientations[Ci.crossTileID]=Ue,Be=Ue,this.markUsedOrientation(ee,Be,Ci))}return Be},zl=(we,Be)=>{if(ee.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&Qi.verticalTextBox){for(let Ue of ee.writingModes)if(Ue===a.ah.vertical?(Ro=Be(),Ds=Ro):Ro=we(),Ro&&Ro.placeable)break}else Ro=we()},Z=Ci.textAnchorOffsetStartIndex,oe=Ci.textAnchorOffsetEndIndex;if(oe===Z){let we=(Be,Ue)=>{let We=this.collisionIndex.placeCollisionBox(Be,He,hr,it,yt,tr,Ut,qe,Pe.predicate,di);return We&&We.placeable&&(this.markUsedOrientation(ee,Ue,Ci),this.placedOrientations[Ci.crossTileID]=Ue),We};zl(()=>we(cu,a.ah.horizontal),()=>{let Be=Qi.verticalTextBox;return ee.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&Be?we(Be,a.ah.vertical):{box:null,offscreen:null}}),Dl(Ro&&Ro.placeable)}else{let we=a.aq[(ea=(pa=this.prevPlacement)===null||pa===void 0?void 0:pa.variableOffsets[Ci.crossTileID])===null||ea===void 0?void 0:ea.anchor],Be=(We,wt,tt)=>{let zt=We.x2-We.x1,or=We.y2-We.y1,lr=Ci.textBoxScale,Dr=mr&&Mt===\"never\"?wt:null,Ir=null,oi=He===\"never\"?1:2,ui=\"never\";we&&oi++;for(let qr=0;qr<oi;qr++){for(let Kr=Z;Kr<oe;Kr++){let ii=ee.textAnchorOffsets.get(Kr);if(we&&ii.textAnchor!==we)continue;let vi=this.attemptAnchorPlacement(ii,We,zt,or,lr,Ut,tr,hr,it,yt,Pe,ui,Ci,ee,tt,qe,je,Dr,di);if(vi&&(Ir=vi.placedGlyphBoxes,Ir&&Ir.placeable))return Ga=!0,co=vi.shift,Ir}we?we=null:ui=He}return Q&&!Ir&&(Ir={box:this.collisionIndex.placeCollisionBox(cu,\"always\",hr,it,yt,tr,Ut,qe,Pe.predicate,di,new a.P(0,0)).box,offscreen:!1,placeable:!1}),Ir};zl(()=>Be(cu,Qi.iconBox,a.ah.horizontal),()=>{let We=Qi.verticalTextBox;return ee.allowVerticalPlacement&&(!Ro||!Ro.placeable)&&Ci.numVerticalGlyphVertices>0&&We?Be(We,Qi.verticalIconBox,a.ah.vertical):{box:null,occluded:!0,offscreen:null}}),Ro&&(Ga=Ro.placeable,Wa=Ro.offscreen);let Ue=Dl(Ro&&Ro.placeable);if(!Ga&&this.prevPlacement){let We=this.prevPlacement.variableOffsets[Ci.crossTileID];We&&(this.variableOffsets[Ci.crossTileID]=We,this.markUsedJustification(ee,We.anchor,Ci,Ue))}}}if(As=Ro,Ga=As&&As.placeable,Wa=As&&As.offscreen,Ci.useRuntimeCollisionCircles){let Dl=ee.text.placedSymbolArray.get(Ci.centerJustifiedTextSymbolIndex),zl=a.ai(ee.textSizeData,be,Dl),Z=se.get(\"text-padding\");yo=this.collisionIndex.placeCollisionCircles(He,Dl,ee.lineVertexArray,ee.glyphOffsetArray,zl,it,yt,Ot,Nt,Q,tr,Pe.predicate,Ci.collisionCircleDiameter,Z,qe,di),yo.circles.length&&yo.collisionDetected&&!Q&&a.w(\"Collisions detected, but collision boxes are not shown\"),Ga=et||yo.circles.length>0&&!yo.collisionDetected,Wa=Wa&&yo.offscreen}if(Qi.iconFeatureIndex&&(Zu=Qi.iconFeatureIndex),Qi.iconBox){let Dl=zl=>this.collisionIndex.placeCollisionBox(zl,Mt,hr,it,yt,tr,Ut,je,Pe.predicate,di,mr&&co?co:void 0);Ds&&Ds.placeable&&Qi.verticalIconBox?(po=Dl(Qi.verticalIconBox),To=po.placeable):(po=Dl(Qi.iconBox),To=po.placeable),Wa=Wa&&po.offscreen}let el=Oe||Ci.numHorizontalGlyphVertices===0&&Ci.numVerticalGlyphVertices===0,nu=Je||Ci.numIconVertices===0;el||nu?nu?el||(To=To&&Ga):Ga=To&&Ga:To=Ga=To&&Ga;let zc=To&&po.placeable;if(Ga&&As.placeable&&this.collisionIndex.insertCollisionBox(As.box,He,se.get(\"text-ignore-placement\"),ee.bucketInstanceId,Ds&&Ds.placeable&&Vl?Vl:_l,Pe.ID),zc&&this.collisionIndex.insertCollisionBox(po.box,Mt,se.get(\"icon-ignore-placement\"),ee.bucketInstanceId,Zu,Pe.ID),yo&&Ga&&this.collisionIndex.insertCollisionCircles(yo.circles,He,se.get(\"text-ignore-placement\"),ee.bucketInstanceId,_l,Pe.ID),Q&&this.storeCollisionData(ee.bucketInstanceId,Mn,Qi,As,po,yo),Ci.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(ee.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[Ci.crossTileID]=new _n(Ga||zr,To||Xr,Wa||ee.justReloaded),B[Ci.crossTileID]=!0};if(Rr){if(w.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let Ci=ee.getSortedSymbolIndexes(this.transform.angle);for(let Qi=Ci.length-1;Qi>=0;--Qi){let Mn=Ci[Qi];Li(ee.symbolInstances.get(Mn),ee.collisionArrays[Mn],Mn)}}else for(let Ci=w.symbolInstanceStart;Ci<w.symbolInstanceEnd;Ci++)Li(ee.symbolInstances.get(Ci),ee.collisionArrays[Ci],Ci);if(Q&&ee.bucketInstanceId in this.collisionCircleArrays){let Ci=this.collisionCircleArrays[ee.bucketInstanceId];a.as(Ci.invProjMatrix,it),Ci.viewportMatrix=this.collisionIndex.getViewportMatrix()}ee.justReloaded=!1}storeCollisionData(w,B,Q,ee,se,qe){if(Q.textBox||Q.iconBox){let je,it;this.collisionBoxArrays.has(w)?je=this.collisionBoxArrays.get(w):(je=new Map,this.collisionBoxArrays.set(w,je)),je.has(B)?it=je.get(B):(it={text:null,icon:null},je.set(B,it)),Q.textBox&&(it.text=ee.box),Q.iconBox&&(it.icon=se.box)}if(qe){let je=this.collisionCircleArrays[w];je===void 0&&(je=this.collisionCircleArrays[w]=new $i);for(let it=0;it<qe.circles.length;it+=4)je.circles.push(qe.circles[it+0]),je.circles.push(qe.circles[it+1]),je.circles.push(qe.circles[it+2]),je.circles.push(qe.collisionDetected?1:0)}}markUsedJustification(w,B,Q,ee){let se;se=ee===a.ah.vertical?Q.verticalPlacedTextSymbolIndex:{left:Q.leftJustifiedTextSymbolIndex,center:Q.centerJustifiedTextSymbolIndex,right:Q.rightJustifiedTextSymbolIndex}[a.at(B)];let qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex,Q.verticalPlacedTextSymbolIndex];for(let je of qe)je>=0&&(w.text.placedSymbolArray.get(je).crossTileID=se>=0&&je!==se?0:Q.crossTileID)}markUsedOrientation(w,B,Q){let ee=B===a.ah.horizontal||B===a.ah.horizontalOnly?B:0,se=B===a.ah.vertical?B:0,qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex];for(let je of qe)w.text.placedSymbolArray.get(je).placedOrientation=ee;Q.verticalPlacedTextSymbolIndex&&(w.text.placedSymbolArray.get(Q.verticalPlacedTextSymbolIndex).placedOrientation=se)}commit(w){this.commitTime=w,this.zoomAtLastRecencyCheck=this.transform.zoom;let B=this.prevPlacement,Q=!1;this.prevZoomAdjustment=B?B.zoomAdjustment(this.transform.zoom):0;let ee=B?B.symbolFadeChange(w):1,se=B?B.opacities:{},qe=B?B.variableOffsets:{},je=B?B.placedOrientations:{};for(let it in this.placements){let yt=this.placements[it],Ot=se[it];Ot?(this.opacities[it]=new Ni(Ot,ee,yt.text,yt.icon),Q=Q||yt.text!==Ot.text.placed||yt.icon!==Ot.icon.placed):(this.opacities[it]=new Ni(null,ee,yt.text,yt.icon,yt.skipFade),Q=Q||yt.text||yt.icon)}for(let it in se){let yt=se[it];if(!this.opacities[it]){let Ot=new Ni(yt,ee,!1,!1);Ot.isHidden()||(this.opacities[it]=Ot,Q=Q||yt.text.placed||yt.icon.placed)}}for(let it in qe)this.variableOffsets[it]||!this.opacities[it]||this.opacities[it].isHidden()||(this.variableOffsets[it]=qe[it]);for(let it in je)this.placedOrientations[it]||!this.opacities[it]||this.opacities[it].isHidden()||(this.placedOrientations[it]=je[it]);if(B&&B.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");Q?this.lastPlacementChangeTime=w:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=B?B.lastPlacementChangeTime:w)}updateLayerOpacities(w,B){let Q={};for(let ee of B){let se=ee.getBucket(w);se&&ee.latestFeatureIndex&&w.id===se.layerIds[0]&&this.updateBucketOpacities(se,ee.tileID,Q,ee.collisionBoxArray)}}updateBucketOpacities(w,B,Q,ee){w.hasTextData()&&(w.text.opacityVertexArray.clear(),w.text.hasVisibleVertices=!1),w.hasIconData()&&(w.icon.opacityVertexArray.clear(),w.icon.hasVisibleVertices=!1),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexArray.clear(),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexArray.clear();let se=w.layers[0],qe=se.layout,je=new Ni(null,0,!1,!1,!0),it=qe.get(\"text-allow-overlap\"),yt=qe.get(\"icon-allow-overlap\"),Ot=se._unevaluatedLayout.hasValue(\"text-variable-anchor\")||se._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Nt=qe.get(\"text-rotation-alignment\")===\"map\",hr=qe.get(\"text-pitch-alignment\")===\"map\",Sr=qe.get(\"icon-text-fit\")!==\"none\",he=new Ni(null,0,it&&(yt||!w.hasIconData()||qe.get(\"icon-optional\")),yt&&(it||!w.hasTextData()||qe.get(\"text-optional\")),!0);!w.collisionArrays&&ee&&(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData())&&w.deserializeCollisionBoxes(ee);let be=(Oe,Je,He)=>{for(let et=0;et<Je/4;et++)Oe.opacityVertexArray.emplaceBack(He);Oe.hasVisibleVertices=Oe.hasVisibleVertices||He!==Pi},Pe=this.collisionBoxArrays.get(w.bucketInstanceId);for(let Oe=0;Oe<w.symbolInstances.length;Oe++){let Je=w.symbolInstances.get(Oe),{numHorizontalGlyphVertices:He,numVerticalGlyphVertices:et,crossTileID:Mt}=Je,Dt=this.opacities[Mt];Q[Mt]?Dt=je:Dt||(Dt=he,this.opacities[Mt]=Dt),Q[Mt]=!0;let Ut=Je.numIconVertices>0,tr=this.placedOrientations[Je.crossTileID],mr=tr===a.ah.vertical,Rr=tr===a.ah.horizontal||tr===a.ah.horizontalOnly;if(He>0||et>0){let Xr=Mi(Dt.text);be(w.text,He,mr?Pi:Xr),be(w.text,et,Rr?Pi:Xr);let di=Dt.text.isHidden();[Je.rightJustifiedTextSymbolIndex,Je.centerJustifiedTextSymbolIndex,Je.leftJustifiedTextSymbolIndex].forEach(Qi=>{Qi>=0&&(w.text.placedSymbolArray.get(Qi).hidden=di||mr?1:0)}),Je.verticalPlacedTextSymbolIndex>=0&&(w.text.placedSymbolArray.get(Je.verticalPlacedTextSymbolIndex).hidden=di||Rr?1:0);let Li=this.variableOffsets[Je.crossTileID];Li&&this.markUsedJustification(w,Li.anchor,Je,tr);let Ci=this.placedOrientations[Je.crossTileID];Ci&&(this.markUsedJustification(w,\"left\",Je,Ci),this.markUsedOrientation(w,Ci,Je))}if(Ut){let Xr=Mi(Dt.icon),di=!(Sr&&Je.verticalPlacedIconSymbolIndex&&mr);Je.placedIconSymbolIndex>=0&&(be(w.icon,Je.numIconVertices,di?Xr:Pi),w.icon.placedSymbolArray.get(Je.placedIconSymbolIndex).hidden=Dt.icon.isHidden()),Je.verticalPlacedIconSymbolIndex>=0&&(be(w.icon,Je.numVerticalIconVertices,di?Pi:Xr),w.icon.placedSymbolArray.get(Je.verticalPlacedIconSymbolIndex).hidden=Dt.icon.isHidden())}let zr=Pe&&Pe.has(Oe)?Pe.get(Oe):{text:null,icon:null};if(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData()){let Xr=w.collisionArrays[Oe];if(Xr){let di=new a.P(0,0);if(Xr.textBox||Xr.verticalTextBox){let Li=!0;if(Ot){let Ci=this.variableOffsets[Mt];Ci?(di=It(Ci.anchor,Ci.width,Ci.height,Ci.textOffset,Ci.textBoxScale),Nt&&di._rotate(hr?this.transform.angle:-this.transform.angle)):Li=!1}if(Xr.textBox||Xr.verticalTextBox){let Ci;Xr.textBox&&(Ci=mr),Xr.verticalTextBox&&(Ci=Rr),jt(w.textCollisionBox.collisionVertexArray,Dt.text.placed,!Li||Ci,zr.text,di.x,di.y)}}if(Xr.iconBox||Xr.verticalIconBox){let Li=!!(!Rr&&Xr.verticalIconBox),Ci;Xr.iconBox&&(Ci=Li),Xr.verticalIconBox&&(Ci=!Li),jt(w.iconCollisionBox.collisionVertexArray,Dt.icon.placed,Ci,zr.icon,Sr?di.x:0,Sr?di.y:0)}}}}if(w.sortFeatures(this.transform.angle),this.retainedQueryData[w.bucketInstanceId]&&(this.retainedQueryData[w.bucketInstanceId].featureSortOrder=w.featureSortOrder),w.hasTextData()&&w.text.opacityVertexBuffer&&w.text.opacityVertexBuffer.updateData(w.text.opacityVertexArray),w.hasIconData()&&w.icon.opacityVertexBuffer&&w.icon.opacityVertexBuffer.updateData(w.icon.opacityVertexArray),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexBuffer&&w.iconCollisionBox.collisionVertexBuffer.updateData(w.iconCollisionBox.collisionVertexArray),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexBuffer&&w.textCollisionBox.collisionVertexBuffer.updateData(w.textCollisionBox.collisionVertexArray),w.text.opacityVertexArray.length!==w.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${w.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${w.text.layoutVertexArray.length}) / 4`);if(w.icon.opacityVertexArray.length!==w.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${w.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${w.icon.layoutVertexArray.length}) / 4`);if(w.bucketInstanceId in this.collisionCircleArrays){let Oe=this.collisionCircleArrays[w.bucketInstanceId];w.placementInvProjMatrix=Oe.invProjMatrix,w.placementViewportMatrix=Oe.viewportMatrix,w.collisionCircleArray=Oe.circles,delete this.collisionCircleArrays[w.bucketInstanceId]}}symbolFadeChange(w){return this.fadeDuration===0?1:(w-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(w){return Math.max(0,(this.transform.zoom-w)/1.5)}hasTransitions(w){return this.stale||w-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(w,B){let Q=this.zoomAtLastRecencyCheck===B?1-this.zoomAdjustment(B):1;return this.zoomAtLastRecencyCheck=B,this.commitTime+this.fadeDuration*Q>w}setStale(){this.stale=!0}}function jt(le,w,B,Q,ee,se){Q&&Q.length!==0||(Q=[0,0,0,0]);let qe=Q[0]-ri,je=Q[1]-ri,it=Q[2]-ri,yt=Q[3]-ri;le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,qe,je),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,it,je),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,it,yt),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,qe,yt)}let Zt=Math.pow(2,25),yr=Math.pow(2,24),Fr=Math.pow(2,17),Zr=Math.pow(2,16),Vr=Math.pow(2,9),gi=Math.pow(2,8),Si=Math.pow(2,1);function Mi(le){if(le.opacity===0&&!le.placed)return 0;if(le.opacity===1&&le.placed)return 4294967295;let w=le.placed?1:0,B=Math.floor(127*le.opacity);return B*Zt+w*yr+B*Fr+w*Zr+B*Vr+w*gi+B*Si+w}let Pi=0;function Gi(){return{isOccluded:(le,w,B)=>!1,getPitchedTextCorrection:(le,w,B)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(le,w,B,Q){throw new Error(\"Not implemented.\")},translatePosition:(le,w,B,Q)=>function(ee,se,qe,je,it=!1){if(!qe[0]&&!qe[1])return[0,0];let yt=it?je===\"map\"?ee.angle:0:je===\"viewport\"?-ee.angle:0;if(yt){let Ot=Math.sin(yt),Nt=Math.cos(yt);qe=[qe[0]*Nt-qe[1]*Ot,qe[0]*Ot+qe[1]*Nt]}return[it?qe[0]:nn(se,qe[0],ee.zoom),it?qe[1]:nn(se,qe[1],ee.zoom)]}(le,w,B,Q),getCircleRadiusCorrection:le=>1}}class Ki{constructor(w){this._sortAcrossTiles=w.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!w.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(w,B,Q,ee,se){let qe=this._bucketParts;for(;this._currentTileIndex<w.length;)if(B.getBucketParts(qe,ee,w[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,se())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,qe.sort((je,it)=>je.sortKey-it.sortKey));this._currentPartIndex<qe.length;)if(B.placeLayerBucketPart(qe[this._currentPartIndex],this._seenCrossTileIDs,Q),this._currentPartIndex++,se())return!0;return!1}}class ka{constructor(w,B,Q,ee,se,qe,je,it){this.placement=new ft(w,Gi(),B,qe,je,it),this._currentPlacementIndex=Q.length-1,this._forceFullPlacement=ee,this._showCollisionBoxes=se,this._done=!1}isDone(){return this._done}continuePlacement(w,B,Q){let ee=u.now(),se=()=>!this._forceFullPlacement&&u.now()-ee>2;for(;this._currentPlacementIndex>=0;){let qe=B[w[this._currentPlacementIndex]],je=this.placement.collisionIndex.transform.zoom;if(qe.type===\"symbol\"&&(!qe.minzoom||qe.minzoom<=je)&&(!qe.maxzoom||qe.maxzoom>je)){if(this._inProgressLayer||(this._inProgressLayer=new Ki(qe)),this._inProgressLayer.continuePlacement(Q[qe.source],this.placement,this._showCollisionBoxes,qe,se))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(w){return this.placement.commit(w),this.placement}}let jn=512/a.X/2;class la{constructor(w,B,Q){this.tileID=w,this.bucketInstanceId=Q,this._symbolsByKey={};let ee=new Map;for(let se=0;se<B.length;se++){let qe=B.get(se),je=qe.key,it=ee.get(je);it?it.push(qe):ee.set(je,[qe])}for(let[se,qe]of ee){let je={positions:qe.map(it=>({x:Math.floor(it.anchorX*jn),y:Math.floor(it.anchorY*jn)})),crossTileIDs:qe.map(it=>it.crossTileID)};if(je.positions.length>128){let it=new a.av(je.positions.length,16,Uint16Array);for(let{x:yt,y:Ot}of je.positions)it.add(yt,Ot);it.finish(),delete je.positions,je.index=it}this._symbolsByKey[se]=je}}getScaledCoordinates(w,B){let{x:Q,y:ee,z:se}=this.tileID.canonical,{x:qe,y:je,z:it}=B.canonical,yt=jn/Math.pow(2,it-se),Ot=(je*a.X+w.anchorY)*yt,Nt=ee*a.X*jn;return{x:Math.floor((qe*a.X+w.anchorX)*yt-Q*a.X*jn),y:Math.floor(Ot-Nt)}}findMatches(w,B,Q){let ee=this.tileID.canonical.z<B.canonical.z?1:Math.pow(2,this.tileID.canonical.z-B.canonical.z);for(let se=0;se<w.length;se++){let qe=w.get(se);if(qe.crossTileID)continue;let je=this._symbolsByKey[qe.key];if(!je)continue;let it=this.getScaledCoordinates(qe,B);if(je.index){let yt=je.index.range(it.x-ee,it.y-ee,it.x+ee,it.y+ee).sort();for(let Ot of yt){let Nt=je.crossTileIDs[Ot];if(!Q[Nt]){Q[Nt]=!0,qe.crossTileID=Nt;break}}}else if(je.positions)for(let yt=0;yt<je.positions.length;yt++){let Ot=je.positions[yt],Nt=je.crossTileIDs[yt];if(Math.abs(Ot.x-it.x)<=ee&&Math.abs(Ot.y-it.y)<=ee&&!Q[Nt]){Q[Nt]=!0,qe.crossTileID=Nt;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map(({crossTileIDs:w})=>w)}}class Fa{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class Ra{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(w){let B=Math.round((w-this.lng)/360);if(B!==0)for(let Q in this.indexes){let ee=this.indexes[Q],se={};for(let qe in ee){let je=ee[qe];je.tileID=je.tileID.unwrapTo(je.tileID.wrap+B),se[je.tileID.key]=je}this.indexes[Q]=se}this.lng=w}addBucket(w,B,Q){if(this.indexes[w.overscaledZ]&&this.indexes[w.overscaledZ][w.key]){if(this.indexes[w.overscaledZ][w.key].bucketInstanceId===B.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(w.overscaledZ,this.indexes[w.overscaledZ][w.key])}for(let se=0;se<B.symbolInstances.length;se++)B.symbolInstances.get(se).crossTileID=0;this.usedCrossTileIDs[w.overscaledZ]||(this.usedCrossTileIDs[w.overscaledZ]={});let ee=this.usedCrossTileIDs[w.overscaledZ];for(let se in this.indexes){let qe=this.indexes[se];if(Number(se)>w.overscaledZ)for(let je in qe){let it=qe[je];it.tileID.isChildOf(w)&&it.findMatches(B.symbolInstances,w,ee)}else{let je=qe[w.scaledTo(Number(se)).key];je&&je.findMatches(B.symbolInstances,w,ee)}}for(let se=0;se<B.symbolInstances.length;se++){let qe=B.symbolInstances.get(se);qe.crossTileID||(qe.crossTileID=Q.generate(),ee[qe.crossTileID]=!0)}return this.indexes[w.overscaledZ]===void 0&&(this.indexes[w.overscaledZ]={}),this.indexes[w.overscaledZ][w.key]=new la(w,B.symbolInstances,B.bucketInstanceId),!0}removeBucketCrossTileIDs(w,B){for(let Q of B.getCrossTileIDsLists())for(let ee of Q)delete this.usedCrossTileIDs[w][ee]}removeStaleBuckets(w){let B=!1;for(let Q in this.indexes){let ee=this.indexes[Q];for(let se in ee)w[ee[se].bucketInstanceId]||(this.removeBucketCrossTileIDs(Q,ee[se]),delete ee[se],B=!0)}return B}}class jo{constructor(){this.layerIndexes={},this.crossTileIDs=new Fa,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(w,B,Q){let ee=this.layerIndexes[w.id];ee===void 0&&(ee=this.layerIndexes[w.id]=new Ra);let se=!1,qe={};ee.handleWrapJump(Q);for(let je of B){let it=je.getBucket(w);it&&w.id===it.layerIds[0]&&(it.bucketInstanceId||(it.bucketInstanceId=++this.maxBucketInstanceId),ee.addBucket(je.tileID,it,this.crossTileIDs)&&(se=!0),qe[it.bucketInstanceId]=!0)}return ee.removeStaleBuckets(qe)&&(se=!0),se}pruneUnusedLayers(w){let B={};w.forEach(Q=>{B[Q]=!0});for(let Q in this.layerIndexes)B[Q]||delete this.layerIndexes[Q]}}let oa=(le,w)=>a.t(le,w&&w.filter(B=>B.identifier!==\"source.canvas\")),Sn=a.aw();class Ha extends a.E{constructor(w,B={}){super(),this._rtlPluginLoaded=()=>{for(let Q in this.sourceCaches){let ee=this.sourceCaches[Q].getSource().type;ee!==\"vector\"&&ee!==\"geojson\"||this.sourceCaches[Q].reload()}},this.map=w,this.dispatcher=new Ee(Te(),w._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",(Q,ee)=>this.getGlyphs(Q,ee)),this.dispatcher.registerMessageHandler(\"GI\",(Q,ee)=>this.getImages(Q,ee)),this.imageManager=new T,this.imageManager.setEventedParent(this),this.glyphManager=new H(w._requestManager,B.localIdeographFontFamily),this.lineAtlas=new ae(256,512),this.crossTileSymbolIndex=new jo,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new a.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",a.ay()),bt().on(er,this._rtlPluginLoaded),this.on(\"data\",Q=>{if(Q.dataType!==\"source\"||Q.sourceDataType!==\"metadata\")return;let ee=this.sourceCaches[Q.sourceId];if(!ee)return;let se=ee.getSource();if(se&&se.vectorLayerIds)for(let qe in this._layers){let je=this._layers[qe];je.source===se.id&&this._validateLayer(je)}})}loadURL(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),B.validate=typeof B.validate!=\"boolean\"||B.validate;let ee=this.map._requestManager.transformRequest(w,\"Style\");this._loadStyleRequest=new AbortController;let se=this._loadStyleRequest;a.h(ee,this._loadStyleRequest).then(qe=>{this._loadStyleRequest=null,this._load(qe.data,B,Q)}).catch(qe=>{this._loadStyleRequest=null,qe&&!se.signal.aborted&&this.fire(new a.j(qe))})}loadJSON(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(()=>{this._frameRequest=null,B.validate=B.validate!==!1,this._load(w,B,Q)}).catch(()=>{})}loadEmpty(){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._load(Sn,{validate:!1})}_load(w,B,Q){var ee;let se=B.transformStyle?B.transformStyle(Q,w):w;if(!B.validate||!oa(this,a.u(se))){this._loaded=!0,this.stylesheet=se;for(let qe in se.sources)this.addSource(qe,se.sources[qe],{validate:!1});se.sprite?this._loadSprite(se.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(se.glyphs),this._createLayers(),this.light=new N(this.stylesheet.light),this.sky=new re(this.stylesheet.sky),this.map.setTerrain((ee=this.stylesheet.terrain)!==null&&ee!==void 0?ee:null),this.fire(new a.k(\"data\",{dataType:\"style\"})),this.fire(new a.k(\"style.load\"))}}_createLayers(){let w=a.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",w),this._order=w.map(B=>B.id),this._layers={},this._serializedLayers=null;for(let B of w){let Q=a.aA(B);Q.setEventedParent(this,{layer:{id:B.id}}),this._layers[B.id]=Q}}_loadSprite(w,B=!1,Q=void 0){let ee;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,function(se,qe,je,it){return a._(this,void 0,void 0,function*(){let yt=C(se),Ot=je>1?\"@2x\":\"\",Nt={},hr={};for(let{id:Sr,url:he}of yt){let be=qe.transformRequest(M(he,Ot,\".json\"),\"SpriteJSON\");Nt[Sr]=a.h(be,it);let Pe=qe.transformRequest(M(he,Ot,\".png\"),\"SpriteImage\");hr[Sr]=g.getImage(Pe,it)}return yield Promise.all([...Object.values(Nt),...Object.values(hr)]),function(Sr,he){return a._(this,void 0,void 0,function*(){let be={};for(let Pe in Sr){be[Pe]={};let Oe=u.getImageCanvasContext((yield he[Pe]).data),Je=(yield Sr[Pe]).data;for(let He in Je){let{width:et,height:Mt,x:Dt,y:Ut,sdf:tr,pixelRatio:mr,stretchX:Rr,stretchY:zr,content:Xr,textFitWidth:di,textFitHeight:Li}=Je[He];be[Pe][He]={data:null,pixelRatio:mr,sdf:tr,stretchX:Rr,stretchY:zr,content:Xr,textFitWidth:di,textFitHeight:Li,spriteData:{width:et,height:Mt,x:Dt,y:Ut,context:Oe}}}}return be})}(Nt,hr)})}(w,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then(se=>{if(this._spriteRequest=null,se)for(let qe in se){this._spritesImagesIds[qe]=[];let je=this._spritesImagesIds[qe]?this._spritesImagesIds[qe].filter(it=>!(it in se)):[];for(let it of je)this.imageManager.removeImage(it),this._changedImages[it]=!0;for(let it in se[qe]){let yt=qe===\"default\"?it:`${qe}:${it}`;this._spritesImagesIds[qe].push(yt),yt in this.imageManager.images?this.imageManager.updateImage(yt,se[qe][it],!1):this.imageManager.addImage(yt,se[qe][it]),B&&(this._changedImages[yt]=!0)}}}).catch(se=>{this._spriteRequest=null,ee=se,this.fire(new a.j(ee))}).finally(()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),B&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"})),Q&&Q(ee)})}_unloadSprite(){for(let w of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(w),this._changedImages[w]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}_validateLayer(w){let B=this.sourceCaches[w.source];if(!B)return;let Q=w.sourceLayer;if(!Q)return;let ee=B.getSource();(ee.type===\"geojson\"||ee.vectorLayerIds&&ee.vectorLayerIds.indexOf(Q)===-1)&&this.fire(new a.j(new Error(`Source layer \"${Q}\" does not exist on source \"${ee.id}\" as specified by style layer \"${w.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let w in this.sourceCaches)if(!this.sourceCaches[w].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(w,B=!1){let Q=this._serializedAllLayers();if(!w||w.length===0)return Object.values(B?a.aB(Q):Q);let ee=[];for(let se of w)if(Q[se]){let qe=B?a.aB(Q[se]):Q[se];ee.push(qe)}return ee}_serializedAllLayers(){let w=this._serializedLayers;if(w)return w;w=this._serializedLayers={};let B=Object.keys(this._layers);for(let Q of B){let ee=this._layers[Q];ee.type!==\"custom\"&&(w[Q]=ee.serialize())}return w}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let w in this.sourceCaches)if(this.sourceCaches[w].hasTransition())return!0;for(let w in this._layers)if(this._layers[w].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(w){if(!this._loaded)return;let B=this._changed;if(B){let ee=Object.keys(this._updatedLayers),se=Object.keys(this._removedLayers);(ee.length||se.length)&&this._updateWorkerLayers(ee,se);for(let qe in this._updatedSources){let je=this._updatedSources[qe];if(je===\"reload\")this._reloadSource(qe);else{if(je!==\"clear\")throw new Error(`Invalid action ${je}`);this._clearSource(qe)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let qe in this._updatedPaintProps)this._layers[qe].updateTransitions(w);this.light.updateTransitions(w),this.sky.updateTransitions(w),this._resetUpdates()}let Q={};for(let ee in this.sourceCaches){let se=this.sourceCaches[ee];Q[ee]=se.used,se.used=!1}for(let ee of this._order){let se=this._layers[ee];se.recalculate(w,this._availableImages),!se.isHidden(w.zoom)&&se.source&&(this.sourceCaches[se.source].used=!0)}for(let ee in Q){let se=this.sourceCaches[ee];!!Q[ee]!=!!se.used&&se.fire(new a.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:ee}))}this.light.recalculate(w),this.sky.recalculate(w),this.z=w.zoom,B&&this.fire(new a.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let w=Object.keys(this._changedImages);if(w.length){for(let B in this.sourceCaches)this.sourceCaches[B].reloadTilesForDependencies([\"icons\",\"patterns\"],w);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let w in this.sourceCaches)this.sourceCaches[w].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(w,B){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(w,!1),removedIds:B})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(w,B={}){var Q;this._checkLoaded();let ee=this.serialize();if(w=B.transformStyle?B.transformStyle(ee,w):w,((Q=B.validate)===null||Q===void 0||Q)&&oa(this,a.u(w)))return!1;(w=a.aB(w)).layers=a.az(w.layers);let se=a.aC(ee,w),qe=this._getOperationsToPerform(se);if(qe.unimplemented.length>0)throw new Error(`Unimplemented: ${qe.unimplemented.join(\", \")}.`);if(qe.operations.length===0)return!1;for(let je of qe.operations)je();return this.stylesheet=w,this._serializedLayers=null,!0}_getOperationsToPerform(w){let B=[],Q=[];for(let ee of w)switch(ee.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":B.push(()=>this.addLayer.apply(this,ee.args));break;case\"removeLayer\":B.push(()=>this.removeLayer.apply(this,ee.args));break;case\"setPaintProperty\":B.push(()=>this.setPaintProperty.apply(this,ee.args));break;case\"setLayoutProperty\":B.push(()=>this.setLayoutProperty.apply(this,ee.args));break;case\"setFilter\":B.push(()=>this.setFilter.apply(this,ee.args));break;case\"addSource\":B.push(()=>this.addSource.apply(this,ee.args));break;case\"removeSource\":B.push(()=>this.removeSource.apply(this,ee.args));break;case\"setLayerZoomRange\":B.push(()=>this.setLayerZoomRange.apply(this,ee.args));break;case\"setLight\":B.push(()=>this.setLight.apply(this,ee.args));break;case\"setGeoJSONSourceData\":B.push(()=>this.setGeoJSONSourceData.apply(this,ee.args));break;case\"setGlyphs\":B.push(()=>this.setGlyphs.apply(this,ee.args));break;case\"setSprite\":B.push(()=>this.setSprite.apply(this,ee.args));break;case\"setSky\":B.push(()=>this.setSky.apply(this,ee.args));break;case\"setTerrain\":B.push(()=>this.map.setTerrain.apply(this,ee.args));break;case\"setTransition\":B.push(()=>{});break;default:Q.push(ee.command)}return{operations:B,unimplemented:Q}}addImage(w,B){if(this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" already exists.`)));this.imageManager.addImage(w,B),this._afterImageUpdated(w)}updateImage(w,B){this.imageManager.updateImage(w,B)}getImage(w){return this.imageManager.getImage(w)}removeImage(w){if(!this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" does not exist.`)));this.imageManager.removeImage(w),this._afterImageUpdated(w)}_afterImageUpdated(w){this._availableImages=this.imageManager.listImages(),this._changedImages[w]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(w,B,Q={}){if(this._checkLoaded(),this.sourceCaches[w]!==void 0)throw new Error(`Source \"${w}\" already exists.`);if(!B.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(B).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(B.type)>=0&&this._validate(a.u.source,`sources.${w}`,B,null,Q))return;this.map&&this.map._collectResourceTiming&&(B.collectResourceTiming=!0);let ee=this.sourceCaches[w]=new dt(w,B,this.dispatcher);ee.style=this,ee.setEventedParent(this,()=>({isSourceLoaded:ee.loaded(),source:ee.serialize(),sourceId:w})),ee.onAdd(this.map),this._changed=!0}removeSource(w){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(\"There is no source with this ID\");for(let Q in this._layers)if(this._layers[Q].source===w)return this.fire(new a.j(new Error(`Source \"${w}\" cannot be removed while layer \"${Q}\" is using it.`)));let B=this.sourceCaches[w];delete this.sourceCaches[w],delete this._updatedSources[w],B.fire(new a.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:w})),B.setEventedParent(null),B.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(w,B){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(`There is no source with this ID=${w}`);let Q=this.sourceCaches[w].getSource();if(Q.type!==\"geojson\")throw new Error(`geojsonSource.type is ${Q.type}, which is !== 'geojson`);Q.setData(B),this._changed=!0}getSource(w){return this.sourceCaches[w]&&this.sourceCaches[w].getSource()}addLayer(w,B,Q={}){this._checkLoaded();let ee=w.id;if(this.getLayer(ee))return void this.fire(new a.j(new Error(`Layer \"${ee}\" already exists on this map.`)));let se;if(w.type===\"custom\"){if(oa(this,a.aD(w)))return;se=a.aA(w)}else{if(\"source\"in w&&typeof w.source==\"object\"&&(this.addSource(ee,w.source),w=a.aB(w),w=a.e(w,{source:ee})),this._validate(a.u.layer,`layers.${ee}`,w,{arrayIndex:-1},Q))return;se=a.aA(w),this._validateLayer(se),se.setEventedParent(this,{layer:{id:ee}})}let qe=B?this._order.indexOf(B):this._order.length;if(B&&qe===-1)this.fire(new a.j(new Error(`Cannot add layer \"${ee}\" before non-existing layer \"${B}\".`)));else{if(this._order.splice(qe,0,ee),this._layerOrderChanged=!0,this._layers[ee]=se,this._removedLayers[ee]&&se.source&&se.type!==\"custom\"){let je=this._removedLayers[ee];delete this._removedLayers[ee],je.type!==se.type?this._updatedSources[se.source]=\"clear\":(this._updatedSources[se.source]=\"reload\",this.sourceCaches[se.source].pause())}this._updateLayer(se),se.onAdd&&se.onAdd(this.map)}}moveLayer(w,B){if(this._checkLoaded(),this._changed=!0,!this._layers[w])return void this.fire(new a.j(new Error(`The layer '${w}' does not exist in the map's style and cannot be moved.`)));if(w===B)return;let Q=this._order.indexOf(w);this._order.splice(Q,1);let ee=B?this._order.indexOf(B):this._order.length;B&&ee===-1?this.fire(new a.j(new Error(`Cannot move layer \"${w}\" before non-existing layer \"${B}\".`))):(this._order.splice(ee,0,w),this._layerOrderChanged=!0)}removeLayer(w){this._checkLoaded();let B=this._layers[w];if(!B)return void this.fire(new a.j(new Error(`Cannot remove non-existing layer \"${w}\".`)));B.setEventedParent(null);let Q=this._order.indexOf(w);this._order.splice(Q,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[w]=B,delete this._layers[w],this._serializedLayers&&delete this._serializedLayers[w],delete this._updatedLayers[w],delete this._updatedPaintProps[w],B.onRemove&&B.onRemove(this.map)}getLayer(w){return this._layers[w]}getLayersOrder(){return[...this._order]}hasLayer(w){return w in this._layers}setLayerZoomRange(w,B,Q){this._checkLoaded();let ee=this.getLayer(w);ee?ee.minzoom===B&&ee.maxzoom===Q||(B!=null&&(ee.minzoom=B),Q!=null&&(ee.maxzoom=Q),this._updateLayer(ee)):this.fire(new a.j(new Error(`Cannot set the zoom range of non-existing layer \"${w}\".`)))}setFilter(w,B,Q={}){this._checkLoaded();let ee=this.getLayer(w);if(ee){if(!a.aE(ee.filter,B))return B==null?(ee.filter=void 0,void this._updateLayer(ee)):void(this._validate(a.u.filter,`layers.${ee.id}.filter`,B,null,Q)||(ee.filter=a.aB(B),this._updateLayer(ee)))}else this.fire(new a.j(new Error(`Cannot filter non-existing layer \"${w}\".`)))}getFilter(w){return a.aB(this.getLayer(w).filter)}setLayoutProperty(w,B,Q,ee={}){this._checkLoaded();let se=this.getLayer(w);se?a.aE(se.getLayoutProperty(B),Q)||(se.setLayoutProperty(B,Q,ee),this._updateLayer(se)):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getLayoutProperty(w,B){let Q=this.getLayer(w);if(Q)return Q.getLayoutProperty(B);this.fire(new a.j(new Error(`Cannot get style of non-existing layer \"${w}\".`)))}setPaintProperty(w,B,Q,ee={}){this._checkLoaded();let se=this.getLayer(w);se?a.aE(se.getPaintProperty(B),Q)||(se.setPaintProperty(B,Q,ee)&&this._updateLayer(se),this._changed=!0,this._updatedPaintProps[w]=!0,this._serializedLayers=null):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getPaintProperty(w,B){return this.getLayer(w).getPaintProperty(B)}setFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=w.sourceLayer,se=this.sourceCaches[Q];if(se===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let qe=se.getSource().type;qe===\"geojson\"&&ee?this.fire(new a.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):qe!==\"vector\"||ee?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),se.setFeatureState(ee,w.id,B)):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=this.sourceCaches[Q];if(ee===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let se=ee.getSource().type,qe=se===\"vector\"?w.sourceLayer:void 0;se!==\"vector\"||qe?B&&typeof w.id!=\"string\"&&typeof w.id!=\"number\"?this.fire(new a.j(new Error(\"A feature id is required to remove its specific state property.\"))):ee.removeFeatureState(qe,w.id,B):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(w){this._checkLoaded();let B=w.source,Q=w.sourceLayer,ee=this.sourceCaches[B];if(ee!==void 0)return ee.getSource().type!==\"vector\"||Q?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),ee.getFeatureState(Q,w.id)):void this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new a.j(new Error(`The source '${B}' does not exist in the map's style.`)))}getTransition(){return a.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let w=a.aF(this.sourceCaches,se=>se.serialize()),B=this._serializeByIds(this._order,!0),Q=this.map.getTerrain()||void 0,ee=this.stylesheet;return a.aG({version:ee.version,name:ee.name,metadata:ee.metadata,light:ee.light,sky:ee.sky,center:ee.center,zoom:ee.zoom,bearing:ee.bearing,pitch:ee.pitch,sprite:ee.sprite,glyphs:ee.glyphs,transition:ee.transition,sources:w,layers:B,terrain:Q},se=>se!==void 0)}_updateLayer(w){this._updatedLayers[w.id]=!0,w.source&&!this._updatedSources[w.source]&&this.sourceCaches[w.source].getSource().type!==\"raster\"&&(this._updatedSources[w.source]=\"reload\",this.sourceCaches[w.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(w){let B=qe=>this._layers[qe].type===\"fill-extrusion\",Q={},ee=[];for(let qe=this._order.length-1;qe>=0;qe--){let je=this._order[qe];if(B(je)){Q[je]=qe;for(let it of w){let yt=it[je];if(yt)for(let Ot of yt)ee.push(Ot)}}}ee.sort((qe,je)=>je.intersectionZ-qe.intersectionZ);let se=[];for(let qe=this._order.length-1;qe>=0;qe--){let je=this._order[qe];if(B(je))for(let it=ee.length-1;it>=0;it--){let yt=ee[it].feature;if(Q[yt.layer.id]<qe)break;se.push(yt),ee.pop()}else for(let it of w){let yt=it[je];if(yt)for(let Ot of yt)se.push(Ot.feature)}}return se}queryRenderedFeatures(w,B,Q){B&&B.filter&&this._validate(a.u.filter,\"queryRenderedFeatures.filter\",B.filter,null,B);let ee={};if(B&&B.layers){if(!Array.isArray(B.layers))return this.fire(new a.j(new Error(\"parameters.layers must be an Array.\"))),[];for(let je of B.layers){let it=this._layers[je];if(!it)return this.fire(new a.j(new Error(`The layer '${je}' does not exist in the map's style and cannot be queried for features.`))),[];ee[it.source]=!0}}let se=[];B.availableImages=this._availableImages;let qe=this._serializedAllLayers();for(let je in this.sourceCaches)B.layers&&!ee[je]||se.push(Ce(this.sourceCaches[je],this._layers,qe,w,B,Q));return this.placement&&se.push(function(je,it,yt,Ot,Nt,hr,Sr){let he={},be=hr.queryRenderedSymbols(Ot),Pe=[];for(let Oe of Object.keys(be).map(Number))Pe.push(Sr[Oe]);Pe.sort(me);for(let Oe of Pe){let Je=Oe.featureIndex.lookupSymbolFeatures(be[Oe.bucketInstanceId],it,Oe.bucketIndex,Oe.sourceLayerIndex,Nt.filter,Nt.layers,Nt.availableImages,je);for(let He in Je){let et=he[He]=he[He]||[],Mt=Je[He];Mt.sort((Dt,Ut)=>{let tr=Oe.featureSortOrder;if(tr){let mr=tr.indexOf(Dt.featureIndex);return tr.indexOf(Ut.featureIndex)-mr}return Ut.featureIndex-Dt.featureIndex});for(let Dt of Mt)et.push(Dt)}}for(let Oe in he)he[Oe].forEach(Je=>{let He=Je.feature,et=yt[je[Oe].source].getFeatureState(He.layer[\"source-layer\"],He.id);He.source=He.layer.source,He.layer[\"source-layer\"]&&(He.sourceLayer=He.layer[\"source-layer\"]),He.state=et});return he}(this._layers,qe,this.sourceCaches,w,B,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(se)}querySourceFeatures(w,B){B&&B.filter&&this._validate(a.u.filter,\"querySourceFeatures.filter\",B.filter,null,B);let Q=this.sourceCaches[w];return Q?function(ee,se){let qe=ee.getRenderableIds().map(yt=>ee.getTileByID(yt)),je=[],it={};for(let yt=0;yt<qe.length;yt++){let Ot=qe[yt],Nt=Ot.tileID.canonical.key;it[Nt]||(it[Nt]=!0,Ot.querySourceFeatures(je,se))}return je}(Q,B):[]}getLight(){return this.light.getLight()}setLight(w,B={}){this._checkLoaded();let Q=this.light.getLight(),ee=!1;for(let qe in w)if(!a.aE(w[qe],Q[qe])){ee=!0;break}if(!ee)return;let se={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(w,B),this.light.updateTransitions(se)}getSky(){var w;return(w=this.stylesheet)===null||w===void 0?void 0:w.sky}setSky(w,B={}){let Q=this.getSky(),ee=!1;if(!w&&!Q)return;if(w&&!Q)ee=!0;else if(!w&&Q)ee=!0;else for(let qe in w)if(!a.aE(w[qe],Q[qe])){ee=!0;break}if(!ee)return;let se={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=w,this.sky.setSky(w,B),this.sky.updateTransitions(se)}_validate(w,B,Q,ee,se={}){return(!se||se.validate!==!1)&&oa(this,w.call(a.u,a.e({key:B,style:this.serialize(),value:Q,styleSpec:a.v},ee)))}_remove(w=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),bt().off(er,this._rtlPluginLoaded);for(let B in this._layers)this._layers[B].setEventedParent(null);for(let B in this.sourceCaches){let Q=this.sourceCaches[B];Q.setEventedParent(null),Q.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),w&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(w)}_clearSource(w){this.sourceCaches[w].clearTiles()}_reloadSource(w){this.sourceCaches[w].resume(),this.sourceCaches[w].reload()}_updateSources(w){for(let B in this.sourceCaches)this.sourceCaches[B].update(w,this.map.terrain)}_generateCollisionBoxes(){for(let w in this.sourceCaches)this._reloadSource(w)}_updatePlacement(w,B,Q,ee,se=!1){let qe=!1,je=!1,it={};for(let yt of this._order){let Ot=this._layers[yt];if(Ot.type!==\"symbol\")continue;if(!it[Ot.source]){let hr=this.sourceCaches[Ot.source];it[Ot.source]=hr.getRenderableIds(!0).map(Sr=>hr.getTileByID(Sr)).sort((Sr,he)=>he.tileID.overscaledZ-Sr.tileID.overscaledZ||(Sr.tileID.isLessThan(he.tileID)?-1:1))}let Nt=this.crossTileSymbolIndex.addLayer(Ot,it[Ot.source],w.center.lng);qe=qe||Nt}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((se=se||this._layerOrderChanged||Q===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(u.now(),w.zoom))&&(this.pauseablePlacement=new ka(w,this.map.terrain,this._order,se,B,Q,ee,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,it),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(u.now()),je=!0),qe&&this.pauseablePlacement.placement.setStale()),je||qe)for(let yt of this._order){let Ot=this._layers[yt];Ot.type===\"symbol\"&&this.placement.updateLayerOpacities(Ot,it[Ot.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(u.now())}_releaseSymbolFadeTiles(){for(let w in this.sourceCaches)this.sourceCaches[w].releaseSymbolFadeTiles()}getImages(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.imageManager.getImages(B.icons);this._updateTilesForChangedImages();let ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,B.icons),Q})}getGlyphs(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.glyphManager.getGlyphs(B.stacks),ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,[\"\"]),Q})}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(w,B={}){this._checkLoaded(),w&&this._validate(a.u.glyphs,\"glyphs\",w,null,B)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=w,this.glyphManager.entries={},this.glyphManager.setURL(w))}addSprite(w,B,Q={},ee){this._checkLoaded();let se=[{id:w,url:B}],qe=[...C(this.stylesheet.sprite),...se];this._validate(a.u.sprite,\"sprite\",qe,null,Q)||(this.stylesheet.sprite=qe,this._loadSprite(se,!0,ee))}removeSprite(w){this._checkLoaded();let B=C(this.stylesheet.sprite);if(B.find(Q=>Q.id===w)){if(this._spritesImagesIds[w])for(let Q of this._spritesImagesIds[w])this.imageManager.removeImage(Q),this._changedImages[Q]=!0;B.splice(B.findIndex(Q=>Q.id===w),1),this.stylesheet.sprite=B.length>0?B:void 0,delete this._spritesImagesIds[w],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}else this.fire(new a.j(new Error(`Sprite \"${w}\" doesn't exists on this map.`)))}getSprite(){return C(this.stylesheet.sprite)}setSprite(w,B={},Q){this._checkLoaded(),w&&this._validate(a.u.sprite,\"sprite\",w,null,B)||(this.stylesheet.sprite=w,w?this._loadSprite(w,!0,Q):(this._unloadSprite(),Q&&Q(null)))}}var oo=a.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let xn={prelude:_t(`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "`,`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\n",
+       "#ifdef TERRAIN3D\n",
+       "uniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\n",
+       "#endif\n",
+       "const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\n",
+       "#ifdef TERRAIN3D\n",
+       "highp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float calculate_visibility(vec4 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float ele(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}float get_elevation(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}`),background:_t(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:_t(`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:_t(`varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:_t(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:_t(`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:_t(`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:_t(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:_t(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:_t(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:_t(`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:_t(`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:_t(`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillPattern:_t(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`),fillExtrusion:_t(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`),fillExtrusionPattern:_t(`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`),hillshadePrepare:_t(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:_t(`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:_t(`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),lineGradient:_t(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),linePattern:_t(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:_t(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`),raster:_t(`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:_t(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}`),symbolSDF:_t(`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`),symbolTextAndIcon:_t(`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`),terrain:_t(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:_t(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:_t(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:_t(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function _t(le,w){let B=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,Q=w.match(/attribute ([\\w]+) ([\\w]+)/g),ee=le.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),se=w.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),qe=se?se.concat(ee):ee,je={};return{fragmentSource:le=le.replace(B,(it,yt,Ot,Nt,hr)=>(je[hr]=!0,yt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "varying ${Ot} ${Nt} ${hr};\n",
+       "#else\n",
+       "uniform ${Ot} ${Nt} u_${hr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_${hr}\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`)),vertexSource:w=w.replace(B,(it,yt,Ot,Nt,hr)=>{let Sr=Nt===\"float\"?\"vec2\":\"vec4\",he=hr.match(/color/)?\"color\":Sr;return je[hr]?yt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "uniform lowp float u_${hr}_t;\n",
+       "attribute ${Ot} ${Sr} a_${hr};\n",
+       "varying ${Ot} ${Nt} ${hr};\n",
+       "#else\n",
+       "uniform ${Ot} ${Nt} u_${hr};\n",
+       "#endif\n",
+       "`:he===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "    ${hr} = a_${hr};\n",
+       "#else\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "    ${hr} = unpack_mix_${he}(a_${hr}, u_${hr}_t);\n",
+       "#else\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`:yt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "uniform lowp float u_${hr}_t;\n",
+       "attribute ${Ot} ${Sr} a_${hr};\n",
+       "#else\n",
+       "uniform ${Ot} ${Nt} u_${hr};\n",
+       "#endif\n",
+       "`:he===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "    ${Ot} ${Nt} ${hr} = a_${hr};\n",
+       "#else\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "    ${Ot} ${Nt} ${hr} = unpack_mix_${he}(a_${hr}, u_${hr}_t);\n",
+       "#else\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`}),staticAttributes:Q,staticUniforms:qe}}class br{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(w,B,Q,ee,se,qe,je,it,yt){this.context=w;let Ot=this.boundPaintVertexBuffers.length!==ee.length;for(let Nt=0;!Ot&&Nt<ee.length;Nt++)this.boundPaintVertexBuffers[Nt]!==ee[Nt]&&(Ot=!0);!this.vao||this.boundProgram!==B||this.boundLayoutVertexBuffer!==Q||Ot||this.boundIndexBuffer!==se||this.boundVertexOffset!==qe||this.boundDynamicVertexBuffer!==je||this.boundDynamicVertexBuffer2!==it||this.boundDynamicVertexBuffer3!==yt?this.freshBind(B,Q,ee,se,qe,je,it,yt):(w.bindVertexArray.set(this.vao),je&&je.bind(),se&&se.dynamicDraw&&se.bind(),it&&it.bind(),yt&&yt.bind())}freshBind(w,B,Q,ee,se,qe,je,it){let yt=w.numAttributes,Ot=this.context,Nt=Ot.gl;this.vao&&this.destroy(),this.vao=Ot.createVertexArray(),Ot.bindVertexArray.set(this.vao),this.boundProgram=w,this.boundLayoutVertexBuffer=B,this.boundPaintVertexBuffers=Q,this.boundIndexBuffer=ee,this.boundVertexOffset=se,this.boundDynamicVertexBuffer=qe,this.boundDynamicVertexBuffer2=je,this.boundDynamicVertexBuffer3=it,B.enableAttributes(Nt,w);for(let hr of Q)hr.enableAttributes(Nt,w);qe&&qe.enableAttributes(Nt,w),je&&je.enableAttributes(Nt,w),it&&it.enableAttributes(Nt,w),B.bind(),B.setVertexAttribPointers(Nt,w,se);for(let hr of Q)hr.bind(),hr.setVertexAttribPointers(Nt,w,se);qe&&(qe.bind(),qe.setVertexAttribPointers(Nt,w,se)),ee&&ee.bind(),je&&(je.bind(),je.setVertexAttribPointers(Nt,w,se)),it&&(it.bind(),it.setVertexAttribPointers(Nt,w,se)),Ot.currentNumAttributes=yt}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}let Hr=(le,w,B,Q,ee)=>({u_matrix:le,u_texture:0,u_ele_delta:w,u_fog_matrix:B,u_fog_color:Q?Q.properties.get(\"fog-color\"):a.aM.white,u_fog_ground_blend:Q?Q.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:Q?Q.calculateFogBlendOpacity(ee):0,u_horizon_color:Q?Q.properties.get(\"horizon-color\"):a.aM.white,u_horizon_fog_blend:Q?Q.properties.get(\"horizon-fog-blend\"):1});function ti(le){let w=[];for(let B=0;B<le.length;B++){if(le[B]===null)continue;let Q=le[B].split(\" \");w.push(Q.pop())}return w}class zi{constructor(w,B,Q,ee,se,qe){let je=w.gl;this.program=je.createProgram();let it=ti(B.staticAttributes),yt=Q?Q.getBinderAttributes():[],Ot=it.concat(yt),Nt=xn.prelude.staticUniforms?ti(xn.prelude.staticUniforms):[],hr=B.staticUniforms?ti(B.staticUniforms):[],Sr=Q?Q.getBinderUniforms():[],he=Nt.concat(hr).concat(Sr),be=[];for(let Dt of he)be.indexOf(Dt)<0&&be.push(Dt);let Pe=Q?Q.defines():[];se&&Pe.push(\"#define OVERDRAW_INSPECTOR;\"),qe&&Pe.push(\"#define TERRAIN3D;\");let Oe=Pe.concat(xn.prelude.fragmentSource,B.fragmentSource).join(`\n",
+       "`),Je=Pe.concat(xn.prelude.vertexSource,B.vertexSource).join(`\n",
+       "`),He=je.createShader(je.FRAGMENT_SHADER);if(je.isContextLost())return void(this.failedToCreate=!0);if(je.shaderSource(He,Oe),je.compileShader(He),!je.getShaderParameter(He,je.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${je.getShaderInfoLog(He)}`);je.attachShader(this.program,He);let et=je.createShader(je.VERTEX_SHADER);if(je.isContextLost())return void(this.failedToCreate=!0);if(je.shaderSource(et,Je),je.compileShader(et),!je.getShaderParameter(et,je.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${je.getShaderInfoLog(et)}`);je.attachShader(this.program,et),this.attributes={};let Mt={};this.numAttributes=Ot.length;for(let Dt=0;Dt<this.numAttributes;Dt++)Ot[Dt]&&(je.bindAttribLocation(this.program,Dt,Ot[Dt]),this.attributes[Ot[Dt]]=Dt);if(je.linkProgram(this.program),!je.getProgramParameter(this.program,je.LINK_STATUS))throw new Error(`Program failed to link: ${je.getProgramInfoLog(this.program)}`);je.deleteShader(et),je.deleteShader(He);for(let Dt=0;Dt<be.length;Dt++){let Ut=be[Dt];if(Ut&&!Mt[Ut]){let tr=je.getUniformLocation(this.program,Ut);tr&&(Mt[Ut]=tr)}}this.fixedUniforms=ee(w,Mt),this.terrainUniforms=((Dt,Ut)=>({u_depth:new a.aH(Dt,Ut.u_depth),u_terrain:new a.aH(Dt,Ut.u_terrain),u_terrain_dim:new a.aI(Dt,Ut.u_terrain_dim),u_terrain_matrix:new a.aJ(Dt,Ut.u_terrain_matrix),u_terrain_unpack:new a.aK(Dt,Ut.u_terrain_unpack),u_terrain_exaggeration:new a.aI(Dt,Ut.u_terrain_exaggeration)}))(w,Mt),this.binderUniforms=Q?Q.getUniforms(w,Mt):[]}draw(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he,be,Pe,Oe,Je){let He=w.gl;if(this.failedToCreate)return;if(w.program.set(this.program),w.setDepthMode(Q),w.setStencilMode(ee),w.setColorMode(se),w.setCullFace(qe),it){w.activeTexture.set(He.TEXTURE2),He.bindTexture(He.TEXTURE_2D,it.depthTexture),w.activeTexture.set(He.TEXTURE3),He.bindTexture(He.TEXTURE_2D,it.texture);for(let Mt in this.terrainUniforms)this.terrainUniforms[Mt].set(it[Mt])}for(let Mt in this.fixedUniforms)this.fixedUniforms[Mt].set(je[Mt]);be&&be.setUniforms(w,this.binderUniforms,Sr,{zoom:he});let et=0;switch(B){case He.LINES:et=2;break;case He.TRIANGLES:et=3;break;case He.LINE_STRIP:et=1}for(let Mt of hr.get()){let Dt=Mt.vaos||(Mt.vaos={});(Dt[yt]||(Dt[yt]=new br)).bind(w,this,Ot,be?be.getPaintVertexBuffers():[],Nt,Mt.vertexOffset,Pe,Oe,Je),He.drawElements(B,Mt.primitiveLength*et,He.UNSIGNED_SHORT,Mt.primitiveOffset*et*2)}}}function Yi(le,w,B){let Q=1/nn(B,1,w.transform.tileZoom),ee=Math.pow(2,B.tileID.overscaledZ),se=B.tileSize*Math.pow(2,w.transform.tileZoom)/ee,qe=se*(B.tileID.canonical.x+B.tileID.wrap*ee),je=se*B.tileID.canonical.y;return{u_image:0,u_texsize:B.imageAtlasTexture.size,u_scale:[Q,le.fromScale,le.toScale],u_fade:le.t,u_pixel_coord_upper:[qe>>16,je>>16],u_pixel_coord_lower:[65535&qe,65535&je]}}let an=(le,w,B,Q)=>{let ee=w.style.light,se=ee.properties.get(\"position\"),qe=[se.x,se.y,se.z],je=function(){var yt=new a.A(9);return a.A!=Float32Array&&(yt[1]=0,yt[2]=0,yt[3]=0,yt[5]=0,yt[6]=0,yt[7]=0),yt[0]=1,yt[4]=1,yt[8]=1,yt}();ee.properties.get(\"anchor\")===\"viewport\"&&function(yt,Ot){var Nt=Math.sin(Ot),hr=Math.cos(Ot);yt[0]=hr,yt[1]=Nt,yt[2]=0,yt[3]=-Nt,yt[4]=hr,yt[5]=0,yt[6]=0,yt[7]=0,yt[8]=1}(je,-w.transform.angle),function(yt,Ot,Nt){var hr=Ot[0],Sr=Ot[1],he=Ot[2];yt[0]=hr*Nt[0]+Sr*Nt[3]+he*Nt[6],yt[1]=hr*Nt[1]+Sr*Nt[4]+he*Nt[7],yt[2]=hr*Nt[2]+Sr*Nt[5]+he*Nt[8]}(qe,qe,je);let it=ee.properties.get(\"color\");return{u_matrix:le,u_lightpos:qe,u_lightintensity:ee.properties.get(\"intensity\"),u_lightcolor:[it.r,it.g,it.b],u_vertical_gradient:+B,u_opacity:Q}},hi=(le,w,B,Q,ee,se,qe)=>a.e(an(le,w,B,Q),Yi(se,w,qe),{u_height_factor:-Math.pow(2,ee.overscaledZ)/qe.tileSize/8}),Ji=le=>({u_matrix:le}),ua=(le,w,B,Q)=>a.e(Ji(le),Yi(B,w,Q)),Fn=(le,w)=>({u_matrix:le,u_world:w}),Sa=(le,w,B,Q,ee)=>a.e(ua(le,w,B,Q),{u_world:ee}),go=(le,w,B,Q)=>{let ee=le.transform,se,qe;if(Q.paint.get(\"circle-pitch-alignment\")===\"map\"){let je=nn(B,1,ee.zoom);se=!0,qe=[je,je]}else se=!1,qe=ee.pixelsToGLUnits;return{u_camera_to_center_distance:ee.cameraToCenterDistance,u_scale_with_map:+(Q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:le.translatePosMatrix(w.posMatrix,B,Q.paint.get(\"circle-translate\"),Q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+se,u_device_pixel_ratio:le.pixelRatio,u_extrude_scale:qe}},Oo=(le,w,B)=>({u_matrix:le,u_inv_matrix:w,u_camera_to_center_distance:B.cameraToCenterDistance,u_viewport_size:[B.width,B.height]}),ho=(le,w,B=1)=>({u_matrix:le,u_color:w,u_overlay:0,u_overlay_scale:B}),Mo=le=>({u_matrix:le}),xo=(le,w,B,Q)=>({u_matrix:le,u_extrude_scale:nn(w,1,B),u_intensity:Q}),zs=(le,w,B,Q)=>{let ee=a.H();a.aP(ee,0,le.width,le.height,0,0,1);let se=le.context.gl;return{u_matrix:ee,u_world:[se.drawingBufferWidth,se.drawingBufferHeight],u_image:B,u_color_ramp:Q,u_opacity:w.paint.get(\"heatmap-opacity\")}};function ks(le,w){let B=Math.pow(2,w.canonical.z),Q=w.canonical.y;return[new a.Z(0,Q/B).toLngLat().lat,new a.Z(0,(Q+1)/B).toLngLat().lat]}let Zs=(le,w,B,Q)=>{let ee=le.transform;return{u_matrix:Cs(le,w,B,Q),u_ratio:1/nn(w,1,ee.zoom),u_device_pixel_ratio:le.pixelRatio,u_units_to_pixels:[1/ee.pixelsToGLUnits[0],1/ee.pixelsToGLUnits[1]]}},Xs=(le,w,B,Q,ee)=>a.e(Zs(le,w,B,ee),{u_image:0,u_image_height:Q}),wl=(le,w,B,Q,ee)=>{let se=le.transform,qe=cl(w,se);return{u_matrix:Cs(le,w,B,ee),u_texsize:w.imageAtlasTexture.size,u_ratio:1/nn(w,1,se.zoom),u_device_pixel_ratio:le.pixelRatio,u_image:0,u_scale:[qe,Q.fromScale,Q.toScale],u_fade:Q.t,u_units_to_pixels:[1/se.pixelsToGLUnits[0],1/se.pixelsToGLUnits[1]]}},os=(le,w,B,Q,ee,se)=>{let qe=le.lineAtlas,je=cl(w,le.transform),it=B.layout.get(\"line-cap\")===\"round\",yt=qe.getDash(Q.from,it),Ot=qe.getDash(Q.to,it),Nt=yt.width*ee.fromScale,hr=Ot.width*ee.toScale;return a.e(Zs(le,w,B,se),{u_patternscale_a:[je/Nt,-yt.height/2],u_patternscale_b:[je/hr,-Ot.height/2],u_sdfgamma:qe.width/(256*Math.min(Nt,hr)*le.pixelRatio)/2,u_image:0,u_tex_y_a:yt.y,u_tex_y_b:Ot.y,u_mix:ee.t})};function cl(le,w){return 1/nn(le,1,w.tileZoom)}function Cs(le,w,B,Q){return le.translatePosMatrix(Q?Q.posMatrix:w.tileID.posMatrix,w,B.paint.get(\"line-translate\"),B.paint.get(\"line-translate-anchor\"))}let ml=(le,w,B,Q,ee)=>{return{u_matrix:le,u_tl_parent:w,u_scale_parent:B,u_buffer_scale:1,u_fade_t:Q.mix,u_opacity:Q.opacity*ee.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:ee.paint.get(\"raster-brightness-min\"),u_brightness_high:ee.paint.get(\"raster-brightness-max\"),u_saturation_factor:(qe=ee.paint.get(\"raster-saturation\"),qe>0?1-1/(1.001-qe):-qe),u_contrast_factor:(se=ee.paint.get(\"raster-contrast\"),se>0?1/(1-se):1+se),u_spin_weights:Ys(ee.paint.get(\"raster-hue-rotate\"))};var se,qe};function Ys(le){le*=Math.PI/180;let w=Math.sin(le),B=Math.cos(le);return[(2*B+1)/3,(-Math.sqrt(3)*w-B+1)/3,(Math.sqrt(3)*w-B+1)/3]}let Hs=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr)=>{let he=qe.transform;return{u_is_size_zoom_constant:+(le===\"constant\"||le===\"source\"),u_is_size_feature_constant:+(le===\"constant\"||le===\"camera\"),u_size_t:w?w.uSizeT:0,u_size:w?w.uSize:0,u_camera_to_center_distance:he.cameraToCenterDistance,u_pitch:he.pitch/360*2*Math.PI,u_rotate_symbol:+B,u_aspect_ratio:he.width/he.height,u_fade_change:qe.options.fadeDuration?qe.symbolFadeChange:1,u_matrix:je,u_label_plane_matrix:it,u_coord_matrix:yt,u_is_text:+Nt,u_pitch_with_map:+Q,u_is_along_line:ee,u_is_variable_anchor:se,u_texsize:hr,u_texture:0,u_translation:Ot,u_pitched_scale:Sr}},Eo=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he)=>{let be=qe.transform;return a.e(Hs(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,he),{u_gamma_scale:Q?Math.cos(be._pitch)*be.cameraToCenterDistance:1,u_device_pixel_ratio:qe.pixelRatio,u_is_halo:+Sr})},fs=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr)=>a.e(Eo(le,w,B,Q,ee,se,qe,je,it,yt,Ot,!0,Nt,!0,Sr),{u_texsize_icon:hr,u_texture_icon:1}),$l=(le,w,B)=>({u_matrix:le,u_opacity:w,u_color:B}),Hu=(le,w,B,Q,ee,se)=>a.e(function(qe,je,it,yt){let Ot=it.imageManager.getPattern(qe.from.toString()),Nt=it.imageManager.getPattern(qe.to.toString()),{width:hr,height:Sr}=it.imageManager.getPixelSize(),he=Math.pow(2,yt.tileID.overscaledZ),be=yt.tileSize*Math.pow(2,it.transform.tileZoom)/he,Pe=be*(yt.tileID.canonical.x+yt.tileID.wrap*he),Oe=be*yt.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:Ot.tl,u_pattern_br_a:Ot.br,u_pattern_tl_b:Nt.tl,u_pattern_br_b:Nt.br,u_texsize:[hr,Sr],u_mix:je.t,u_pattern_size_a:Ot.displaySize,u_pattern_size_b:Nt.displaySize,u_scale_a:je.fromScale,u_scale_b:je.toScale,u_tile_units_to_pixels:1/nn(yt,1,it.transform.tileZoom),u_pixel_coord_upper:[Pe>>16,Oe>>16],u_pixel_coord_lower:[65535&Pe,65535&Oe]}}(Q,se,B,ee),{u_matrix:le,u_opacity:w}),fc={fillExtrusion:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_lightpos:new a.aN(le,w.u_lightpos),u_lightintensity:new a.aI(le,w.u_lightintensity),u_lightcolor:new a.aN(le,w.u_lightcolor),u_vertical_gradient:new a.aI(le,w.u_vertical_gradient),u_opacity:new a.aI(le,w.u_opacity)}),fillExtrusionPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_lightpos:new a.aN(le,w.u_lightpos),u_lightintensity:new a.aI(le,w.u_lightintensity),u_lightcolor:new a.aN(le,w.u_lightcolor),u_vertical_gradient:new a.aI(le,w.u_vertical_gradient),u_height_factor:new a.aI(le,w.u_height_factor),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade),u_opacity:new a.aI(le,w.u_opacity)}),fill:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix)}),fillPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),fillOutline:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world)}),fillOutlinePattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),circle:(le,w)=>({u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_scale_with_map:new a.aH(le,w.u_scale_with_map),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_extrude_scale:new a.aO(le,w.u_extrude_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_matrix:new a.aJ(le,w.u_matrix)}),collisionBox:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_pixel_extrude_scale:new a.aO(le,w.u_pixel_extrude_scale)}),collisionCircle:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_inv_matrix:new a.aJ(le,w.u_inv_matrix),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_viewport_size:new a.aO(le,w.u_viewport_size)}),debug:(le,w)=>({u_color:new a.aL(le,w.u_color),u_matrix:new a.aJ(le,w.u_matrix),u_overlay:new a.aH(le,w.u_overlay),u_overlay_scale:new a.aI(le,w.u_overlay_scale)}),clippingMask:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix)}),heatmap:(le,w)=>({u_extrude_scale:new a.aI(le,w.u_extrude_scale),u_intensity:new a.aI(le,w.u_intensity),u_matrix:new a.aJ(le,w.u_matrix)}),heatmapTexture:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world),u_image:new a.aH(le,w.u_image),u_color_ramp:new a.aH(le,w.u_color_ramp),u_opacity:new a.aI(le,w.u_opacity)}),hillshade:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_latrange:new a.aO(le,w.u_latrange),u_light:new a.aO(le,w.u_light),u_shadow:new a.aL(le,w.u_shadow),u_highlight:new a.aL(le,w.u_highlight),u_accent:new a.aL(le,w.u_accent)}),hillshadePrepare:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_dimension:new a.aO(le,w.u_dimension),u_zoom:new a.aI(le,w.u_zoom),u_unpack:new a.aK(le,w.u_unpack)}),line:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels)}),lineGradient:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_image:new a.aH(le,w.u_image),u_image_height:new a.aI(le,w.u_image_height)}),linePattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_texsize:new a.aO(le,w.u_texsize),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_image:new a.aH(le,w.u_image),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),lineSDF:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_patternscale_a:new a.aO(le,w.u_patternscale_a),u_patternscale_b:new a.aO(le,w.u_patternscale_b),u_sdfgamma:new a.aI(le,w.u_sdfgamma),u_image:new a.aH(le,w.u_image),u_tex_y_a:new a.aI(le,w.u_tex_y_a),u_tex_y_b:new a.aI(le,w.u_tex_y_b),u_mix:new a.aI(le,w.u_mix)}),raster:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_tl_parent:new a.aO(le,w.u_tl_parent),u_scale_parent:new a.aI(le,w.u_scale_parent),u_buffer_scale:new a.aI(le,w.u_buffer_scale),u_fade_t:new a.aI(le,w.u_fade_t),u_opacity:new a.aI(le,w.u_opacity),u_image0:new a.aH(le,w.u_image0),u_image1:new a.aH(le,w.u_image1),u_brightness_low:new a.aI(le,w.u_brightness_low),u_brightness_high:new a.aI(le,w.u_brightness_high),u_saturation_factor:new a.aI(le,w.u_saturation_factor),u_contrast_factor:new a.aI(le,w.u_contrast_factor),u_spin_weights:new a.aN(le,w.u_spin_weights)}),symbolIcon:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texture:new a.aH(le,w.u_texture),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),symbolSDF:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texture:new a.aH(le,w.u_texture),u_gamma_scale:new a.aI(le,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_is_halo:new a.aH(le,w.u_is_halo),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),symbolTextAndIcon:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texsize_icon:new a.aO(le,w.u_texsize_icon),u_texture:new a.aH(le,w.u_texture),u_texture_icon:new a.aH(le,w.u_texture_icon),u_gamma_scale:new a.aI(le,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_is_halo:new a.aH(le,w.u_is_halo),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),background:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_opacity:new a.aI(le,w.u_opacity),u_color:new a.aL(le,w.u_color)}),backgroundPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_opacity:new a.aI(le,w.u_opacity),u_image:new a.aH(le,w.u_image),u_pattern_tl_a:new a.aO(le,w.u_pattern_tl_a),u_pattern_br_a:new a.aO(le,w.u_pattern_br_a),u_pattern_tl_b:new a.aO(le,w.u_pattern_tl_b),u_pattern_br_b:new a.aO(le,w.u_pattern_br_b),u_texsize:new a.aO(le,w.u_texsize),u_mix:new a.aI(le,w.u_mix),u_pattern_size_a:new a.aO(le,w.u_pattern_size_a),u_pattern_size_b:new a.aO(le,w.u_pattern_size_b),u_scale_a:new a.aI(le,w.u_scale_a),u_scale_b:new a.aI(le,w.u_scale_b),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_tile_units_to_pixels:new a.aI(le,w.u_tile_units_to_pixels)}),terrain:(le,w)=>({u_matrix:new 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ee=w.gl;this.buffer=ee.createBuffer(),this.dynamicDraw=!!Q,this.context.unbindVAO(),w.bindElementBuffer.set(this.buffer),ee.bufferData(ee.ELEMENT_ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?ee.DYNAMIC_DRAW:ee.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(w){let B=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),B.bufferSubData(B.ELEMENT_ARRAY_BUFFER,0,w.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let on={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class fa{constructor(w,B,Q,ee){this.length=B.length,this.attributes=Q,this.itemSize=B.bytesPerElement,this.dynamicDraw=ee,this.context=w;let se=w.gl;this.buffer=se.createBuffer(),w.bindVertexBuffer.set(this.buffer),se.bufferData(se.ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?se.DYNAMIC_DRAW:se.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(w){if(w.length!==this.length)throw new Error(`Length of new data is ${w.length}, which doesn't match current length of ${this.length}`);let B=this.context.gl;this.bind(),B.bufferSubData(B.ARRAY_BUFFER,0,w.arrayBuffer)}enableAttributes(w,B){for(let Q=0;Q<this.attributes.length;Q++){let ee=B.attributes[this.attributes[Q].name];ee!==void 0&&w.enableVertexAttribArray(ee)}}setVertexAttribPointers(w,B,Q){for(let ee=0;ee<this.attributes.length;ee++){let se=this.attributes[ee],qe=B.attributes[se.name];qe!==void 0&&w.vertexAttribPointer(qe,se.components,w[on[se.type]],!1,this.itemSize,se.offset+this.itemSize*(Q||0))}}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Qu=new WeakMap;function Il(le){var w;if(Qu.has(le))return Qu.get(le);{let B=(w=le.getParameter(le.VERSION))===null||w===void 0?void 0:w.startsWith(\"WebGL 2.0\");return Qu.set(le,B),B}}class vo{constructor(w){this.gl=w.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(w){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class Wl extends vo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.clearColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Ks extends vo{getDefault(){return 1}set(w){(w!==this.current||this.dirty)&&(this.gl.clearDepth(w),this.current=w,this.dirty=!1)}}class Zl extends vo{getDefault(){return 0}set(w){(w!==this.current||this.dirty)&&(this.gl.clearStencil(w),this.current=w,this.dirty=!1)}}class Ec extends vo{getDefault(){return[!0,!0,!0,!0]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.colorMask(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class Zn extends vo{getDefault(){return!0}set(w){(w!==this.current||this.dirty)&&(this.gl.depthMask(w),this.current=w,this.dirty=!1)}}class ko extends vo{getDefault(){return 255}set(w){(w!==this.current||this.dirty)&&(this.gl.stencilMask(w),this.current=w,this.dirty=!1)}}class Co extends vo{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(w){let B=this.current;(w.func!==B.func||w.ref!==B.ref||w.mask!==B.mask||this.dirty)&&(this.gl.stencilFunc(w.func,w.ref,w.mask),this.current=w,this.dirty=!1)}}class Tl extends vo{getDefault(){let w=this.gl;return[w.KEEP,w.KEEP,w.KEEP]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||this.dirty)&&(this.gl.stencilOp(w[0],w[1],w[2]),this.current=w,this.dirty=!1)}}class uf extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.STENCIL_TEST):B.disable(B.STENCIL_TEST),this.current=w,this.dirty=!1}}class So extends vo{getDefault(){return[0,1]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.depthRange(w[0],w[1]),this.current=w,this.dirty=!1)}}class cf extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.DEPTH_TEST):B.disable(B.DEPTH_TEST),this.current=w,this.dirty=!1}}class rh extends vo{getDefault(){return this.gl.LESS}set(w){(w!==this.current||this.dirty)&&(this.gl.depthFunc(w),this.current=w,this.dirty=!1)}}class Al extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.BLEND):B.disable(B.BLEND),this.current=w,this.dirty=!1}}class Hc extends vo{getDefault(){let w=this.gl;return[w.ONE,w.ZERO]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.blendFunc(w[0],w[1]),this.current=w,this.dirty=!1)}}class Ql extends vo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.blendColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Ls extends vo{getDefault(){return this.gl.FUNC_ADD}set(w){(w!==this.current||this.dirty)&&(this.gl.blendEquation(w),this.current=w,this.dirty=!1)}}class mu extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.CULL_FACE):B.disable(B.CULL_FACE),this.current=w,this.dirty=!1}}class kc extends vo{getDefault(){return this.gl.BACK}set(w){(w!==this.current||this.dirty)&&(this.gl.cullFace(w),this.current=w,this.dirty=!1)}}class Of extends vo{getDefault(){return this.gl.CCW}set(w){(w!==this.current||this.dirty)&&(this.gl.frontFace(w),this.current=w,this.dirty=!1)}}class Gc extends vo{getDefault(){return null}set(w){(w!==this.current||this.dirty)&&(this.gl.useProgram(w),this.current=w,this.dirty=!1)}}class vd extends vo{getDefault(){return this.gl.TEXTURE0}set(w){(w!==this.current||this.dirty)&&(this.gl.activeTexture(w),this.current=w,this.dirty=!1)}}class Bf extends vo{getDefault(){let w=this.gl;return[0,0,w.drawingBufferWidth,w.drawingBufferHeight]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.viewport(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class ss extends vo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindFramebuffer(B.FRAMEBUFFER,w),this.current=w,this.dirty=!1}}class ff extends vo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindRenderbuffer(B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class ih extends vo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindTexture(B.TEXTURE_2D,w),this.current=w,this.dirty=!1}}class Ul extends vo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindBuffer(B.ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class Js extends vo{getDefault(){return null}set(w){let B=this.gl;B.bindBuffer(B.ELEMENT_ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class hc extends vo{getDefault(){return null}set(w){var B;if(w===this.current&&!this.dirty)return;let Q=this.gl;Il(Q)?Q.bindVertexArray(w):(B=Q.getExtension(\"OES_vertex_array_object\"))===null||B===void 0||B.bindVertexArrayOES(w),this.current=w,this.dirty=!1}}class Cc extends vo{getDefault(){return 4}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_ALIGNMENT,w),this.current=w,this.dirty=!1}}class ws extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_PREMULTIPLY_ALPHA_WEBGL,w),this.current=w,this.dirty=!1}}class $s extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_FLIP_Y_WEBGL,w),this.current=w,this.dirty=!1}}class hs extends vo{constructor(w,B){super(w),this.context=w,this.parent=B}getDefault(){return null}}class Ms extends hs{setDirty(){this.dirty=!0}set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferTexture2D(B.FRAMEBUFFER,B.COLOR_ATTACHMENT0,B.TEXTURE_2D,w,0),this.current=w,this.dirty=!1}}class dc extends hs{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Sl extends hs{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_STENCIL_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class ec{constructor(w,B,Q,ee,se){this.context=w,this.width=B,this.height=Q;let qe=w.gl,je=this.framebuffer=qe.createFramebuffer();if(this.colorAttachment=new Ms(w,je),ee)this.depthAttachment=se?new Sl(w,je):new dc(w,je);else if(se)throw new Error(\"Stencil cannot be set without depth\");if(qe.checkFramebufferStatus(qe.FRAMEBUFFER)!==qe.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){let w=this.context.gl,B=this.colorAttachment.get();if(B&&w.deleteTexture(B),this.depthAttachment){let Q=this.depthAttachment.get();Q&&w.deleteRenderbuffer(Q)}w.deleteFramebuffer(this.framebuffer)}}class Ps{constructor(w,B,Q){this.blendFunction=w,this.blendColor=B,this.mask=Q}}Ps.Replace=[1,0],Ps.disabled=new Ps(Ps.Replace,a.aM.transparent,[!1,!1,!1,!1]),Ps.unblended=new Ps(Ps.Replace,a.aM.transparent,[!0,!0,!0,!0]),Ps.alphaBlended=new Ps([1,771],a.aM.transparent,[!0,!0,!0,!0]);class ov{constructor(w){var B,Q;if(this.gl=w,this.clearColor=new Wl(this),this.clearDepth=new Ks(this),this.clearStencil=new Zl(this),this.colorMask=new Ec(this),this.depthMask=new Zn(this),this.stencilMask=new ko(this),this.stencilFunc=new Co(this),this.stencilOp=new Tl(this),this.stencilTest=new uf(this),this.depthRange=new So(this),this.depthTest=new cf(this),this.depthFunc=new rh(this),this.blend=new Al(this),this.blendFunc=new Hc(this),this.blendColor=new Ql(this),this.blendEquation=new Ls(this),this.cullFace=new mu(this),this.cullFaceSide=new kc(this),this.frontFace=new Of(this),this.program=new Gc(this),this.activeTexture=new vd(this),this.viewport=new Bf(this),this.bindFramebuffer=new ss(this),this.bindRenderbuffer=new ff(this),this.bindTexture=new ih(this),this.bindVertexBuffer=new Ul(this),this.bindElementBuffer=new Js(this),this.bindVertexArray=new hc(this),this.pixelStoreUnpack=new Cc(this),this.pixelStoreUnpackPremultiplyAlpha=new ws(this),this.pixelStoreUnpackFlipY=new $s(this),this.extTextureFilterAnisotropic=w.getExtension(\"EXT_texture_filter_anisotropic\")||w.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||w.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=w.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=w.getParameter(w.MAX_TEXTURE_SIZE),Il(w)){this.HALF_FLOAT=w.HALF_FLOAT;let ee=w.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=(B=w.RGBA16F)!==null&&B!==void 0?B:ee==null?void 0:ee.RGBA16F_EXT,this.RGB16F=(Q=w.RGB16F)!==null&&Q!==void 0?Q:ee==null?void 0:ee.RGB16F_EXT,w.getExtension(\"EXT_color_buffer_float\")}else{w.getExtension(\"EXT_color_buffer_half_float\"),w.getExtension(\"OES_texture_half_float_linear\");let ee=w.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=ee==null?void 0:ee.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(w,B){return new ms(this,w,B)}createVertexBuffer(w,B,Q){return new fa(this,w,B,Q)}createRenderbuffer(w,B,Q){let ee=this.gl,se=ee.createRenderbuffer();return this.bindRenderbuffer.set(se),ee.renderbufferStorage(ee.RENDERBUFFER,w,B,Q),this.bindRenderbuffer.set(null),se}createFramebuffer(w,B,Q,ee){return new ec(this,w,B,Q,ee)}clear({color:w,depth:B,stencil:Q}){let ee=this.gl,se=0;w&&(se|=ee.COLOR_BUFFER_BIT,this.clearColor.set(w),this.colorMask.set([!0,!0,!0,!0])),B!==void 0&&(se|=ee.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(B),this.depthMask.set(!0)),Q!==void 0&&(se|=ee.STENCIL_BUFFER_BIT,this.clearStencil.set(Q),this.stencilMask.set(255)),ee.clear(se)}setCullFace(w){w.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(w.mode),this.frontFace.set(w.frontFace))}setDepthMode(w){w.func!==this.gl.ALWAYS||w.mask?(this.depthTest.set(!0),this.depthFunc.set(w.func),this.depthMask.set(w.mask),this.depthRange.set(w.range)):this.depthTest.set(!1)}setStencilMode(w){w.test.func!==this.gl.ALWAYS||w.mask?(this.stencilTest.set(!0),this.stencilMask.set(w.mask),this.stencilOp.set([w.fail,w.depthFail,w.pass]),this.stencilFunc.set({func:w.test.func,ref:w.ref,mask:w.test.mask})):this.stencilTest.set(!1)}setColorMode(w){a.aE(w.blendFunction,Ps.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(w.blendFunction),this.blendColor.set(w.blendColor)),this.colorMask.set(w.mask)}createVertexArray(){var w;return Il(this.gl)?this.gl.createVertexArray():(w=this.gl.getExtension(\"OES_vertex_array_object\"))===null||w===void 0?void 0:w.createVertexArrayOES()}deleteVertexArray(w){var B;return Il(this.gl)?this.gl.deleteVertexArray(w):(B=this.gl.getExtension(\"OES_vertex_array_object\"))===null||B===void 0?void 0:B.deleteVertexArrayOES(w)}unbindVAO(){this.bindVertexArray.set(null)}}class wo{constructor(w,B,Q){this.func=w,this.mask=B,this.range=Q}}wo.ReadOnly=!1,wo.ReadWrite=!0,wo.disabled=new wo(519,wo.ReadOnly,[0,1]);let Od=7680;class $o{constructor(w,B,Q,ee,se,qe){this.test=w,this.ref=B,this.mask=Q,this.fail=ee,this.depthFail=se,this.pass=qe}}$o.disabled=new $o({func:519,mask:0},0,0,Od,Od,Od);class Ja{constructor(w,B,Q){this.enable=w,this.mode=B,this.frontFace=Q}}let Ef;function tc(le,w,B,Q,ee){let se=le.context,qe=se.gl,je=le.useProgram(\"collisionBox\"),it=[],yt=0,Ot=0;for(let Oe=0;Oe<Q.length;Oe++){let Je=Q[Oe],He=w.getTile(Je).getBucket(B);if(!He)continue;let et=ee?He.textCollisionBox:He.iconCollisionBox,Mt=He.collisionCircleArray;if(Mt.length>0){let Dt=a.H();a.aQ(Dt,He.placementInvProjMatrix,le.transform.glCoordMatrix),a.aQ(Dt,Dt,He.placementViewportMatrix),it.push({circleArray:Mt,circleOffset:Ot,transform:Je.posMatrix,invTransform:Dt,coord:Je}),yt+=Mt.length/4,Ot=yt}et&&je.draw(se,qe.LINES,wo.disabled,$o.disabled,le.colorModeForRenderPass(),Ja.disabled,{u_matrix:Je.posMatrix,u_pixel_extrude_scale:[1/(Nt=le.transform).width,1/Nt.height]},le.style.map.terrain&&le.style.map.terrain.getTerrainData(Je),B.id,et.layoutVertexBuffer,et.indexBuffer,et.segments,null,le.transform.zoom,null,null,et.collisionVertexBuffer)}var Nt;if(!ee||!it.length)return;let hr=le.useProgram(\"collisionCircle\"),Sr=new a.aR;Sr.resize(4*yt),Sr._trim();let he=0;for(let Oe of it)for(let Je=0;Je<Oe.circleArray.length/4;Je++){let He=4*Je,et=Oe.circleArray[He+0],Mt=Oe.circleArray[He+1],Dt=Oe.circleArray[He+2],Ut=Oe.circleArray[He+3];Sr.emplace(he++,et,Mt,Dt,Ut,0),Sr.emplace(he++,et,Mt,Dt,Ut,1),Sr.emplace(he++,et,Mt,Dt,Ut,2),Sr.emplace(he++,et,Mt,Dt,Ut,3)}(!Ef||Ef.length<2*yt)&&(Ef=function(Oe){let Je=2*Oe,He=new a.aT;He.resize(Je),He._trim();for(let et=0;et<Je;et++){let Mt=6*et;He.uint16[Mt+0]=4*et+0,He.uint16[Mt+1]=4*et+1,He.uint16[Mt+2]=4*et+2,He.uint16[Mt+3]=4*et+2,He.uint16[Mt+4]=4*et+3,He.uint16[Mt+5]=4*et+0}return He}(yt));let be=se.createIndexBuffer(Ef,!0),Pe=se.createVertexBuffer(Sr,a.aS.members,!0);for(let Oe of it){let Je=Oo(Oe.transform,Oe.invTransform,le.transform);hr.draw(se,qe.TRIANGLES,wo.disabled,$o.disabled,le.colorModeForRenderPass(),Ja.disabled,Je,le.style.map.terrain&&le.style.map.terrain.getTerrainData(Oe.coord),B.id,Pe,be,a.a0.simpleSegment(0,2*Oe.circleOffset,Oe.circleArray.length,Oe.circleArray.length/2),null,le.transform.zoom,null,null,null)}Pe.destroy(),be.destroy()}Ja.disabled=new Ja(!1,1029,2305),Ja.backCCW=new Ja(!0,1029,2305);let uu=a.an(new Float32Array(16));function Mh(le,w,B,Q,ee,se){let{horizontalAlign:qe,verticalAlign:je}=a.au(le);return new a.P((-(qe-.5)*w/ee+Q[0])*se,(-(je-.5)*B/ee+Q[1])*se)}function jc(le,w,B,Q,ee,se){let qe=w.tileAnchorPoint.add(new a.P(w.translation[0],w.translation[1]));if(w.pitchWithMap){let je=Q.mult(se);B||(je=je.rotate(-ee));let it=qe.add(je);return ut(it.x,it.y,w.labelPlaneMatrix,w.getElevation).point}if(B){let je=lt(w.tileAnchorPoint.x+1,w.tileAnchorPoint.y,w).point.sub(le),it=Math.atan(je.y/je.x)+(je.x<0?Math.PI:0);return le.add(Q.rotate(it))}return le.add(Q)}function kf(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr){let he=le.text.placedSymbolArray,be=le.text.dynamicLayoutVertexArray,Pe=le.icon.dynamicLayoutVertexArray,Oe={};be.clear();for(let Je=0;Je<he.length;Je++){let He=he.get(Je),et=He.hidden||!He.crossTileID||le.allowVerticalPlacement&&!He.placedOrientation?null:Q[He.crossTileID];if(et){let Mt=new a.P(He.anchorX,He.anchorY),Dt={getElevation:Sr,width:ee.width,height:ee.height,labelPlaneMatrix:se,lineVertexArray:null,pitchWithMap:B,projection:Ot,projectionCache:null,tileAnchorPoint:Mt,translation:Nt,unwrappedTileID:hr},Ut=B?ut(Mt.x,Mt.y,qe,Sr):lt(Mt.x,Mt.y,Dt),tr=Ne(ee.cameraToCenterDistance,Ut.signedDistanceFromCamera),mr=a.ai(le.textSizeData,it,He)*tr/a.ap;B&&(mr*=le.tilePixelRatio/je);let{width:Rr,height:zr,anchor:Xr,textOffset:di,textBoxScale:Li}=et,Ci=Mh(Xr,Rr,zr,di,Li,mr),Qi=Ot.getPitchedTextCorrection(ee,Mt.add(new a.P(Nt[0],Nt[1])),hr),Mn=jc(Ut.point,Dt,w,Ci,ee.angle,Qi),pa=le.allowVerticalPlacement&&He.placedOrientation===a.ah.vertical?Math.PI/2:0;for(let ea=0;ea<He.numGlyphs;ea++)a.aj(be,Mn,pa);yt&&He.associatedIconIndex>=0&&(Oe[He.associatedIconIndex]={shiftedAnchor:Mn,angle:pa})}else ai(He.numGlyphs,be)}if(yt){Pe.clear();let Je=le.icon.placedSymbolArray;for(let He=0;He<Je.length;He++){let et=Je.get(He);if(et.hidden)ai(et.numGlyphs,Pe);else{let Mt=Oe[He];if(Mt)for(let Dt=0;Dt<et.numGlyphs;Dt++)a.aj(Pe,Mt.shiftedAnchor,Mt.angle);else ai(et.numGlyphs,Pe)}}le.icon.dynamicLayoutVertexBuffer.updateData(Pe)}le.text.dynamicLayoutVertexBuffer.updateData(be)}function Ml(le,w,B){return B.iconsInText&&w?\"symbolTextAndIcon\":le?\"symbolSDF\":\"symbolIcon\"}function Yh(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt){let hr=le.context,Sr=hr.gl,he=le.transform,be=Gi(),Pe=je===\"map\",Oe=it===\"map\",Je=je!==\"viewport\"&&B.layout.get(\"symbol-placement\")!==\"point\",He=Pe&&!Oe&&!Je,et=!Oe&&Je,Mt=!B.layout.get(\"symbol-sort-key\").isConstant(),Dt=!1,Ut=le.depthModeForSublayer(0,wo.ReadOnly),tr=B._unevaluatedLayout.hasValue(\"text-variable-anchor\")||B._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),mr=[],Rr=be.getCircleRadiusCorrection(he);for(let zr of Q){let Xr=w.getTile(zr),di=Xr.getBucket(B);if(!di)continue;let Li=ee?di.text:di.icon;if(!Li||!Li.segments.get().length||!Li.hasVisibleVertices)continue;let Ci=Li.programConfigurations.get(B.id),Qi=ee||di.sdfIcons,Mn=ee?di.textSizeData:di.iconSizeData,pa=Oe||he.pitch!==0,ea=le.useProgram(Ml(Qi,ee,di),Ci),Ga=a.ag(Mn,he.zoom),To=le.style.map.terrain&&le.style.map.terrain.getTerrainData(zr),Wa,co,Ro,Ds,As=[0,0],yo=null;if(ee)co=Xr.glyphAtlasTexture,Ro=Sr.LINEAR,Wa=Xr.glyphAtlasTexture.size,di.iconsInText&&(As=Xr.imageAtlasTexture.size,yo=Xr.imageAtlasTexture,Ds=pa||le.options.rotating||le.options.zooming||Mn.kind===\"composite\"||Mn.kind===\"camera\"?Sr.LINEAR:Sr.NEAREST);else{let We=B.layout.get(\"icon-size\").constantOr(0)!==1||di.iconsNeedLinear;co=Xr.imageAtlasTexture,Ro=Qi||le.options.rotating||le.options.zooming||We||pa?Sr.LINEAR:Sr.NEAREST,Wa=Xr.imageAtlasTexture.size}let po=nn(Xr,1,le.transform.zoom),_l=et?zr.posMatrix:uu,Vl=Or(_l,Oe,Pe,le.transform,po),Zu=Nr(_l,Oe,Pe,le.transform,po),cu=Nr(zr.posMatrix,Oe,Pe,le.transform,po),el=be.translatePosition(le.transform,Xr,se,qe),nu=tr&&di.hasTextData(),zc=B.layout.get(\"icon-text-fit\")!==\"none\"&&nu&&di.hasIconData();if(Je){let We=le.style.map.terrain?(tt,zt)=>le.style.map.terrain.getElevation(zr,tt,zt):null,wt=B.layout.get(\"text-rotation-alignment\")===\"map\";Ve(di,zr.posMatrix,le,ee,Vl,cu,Oe,yt,wt,be,zr.toUnwrapped(),he.width,he.height,el,We)}let Dl=zr.posMatrix,zl=ee&&tr||zc,Z=Je||zl?uu:Vl,oe=Zu,we=Qi&&B.paint.get(ee?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Be;Be=Qi?di.iconsInText?fs(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,Wa,As,Rr):Eo(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,ee,Wa,!0,Rr):Hs(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,ee,Wa,Rr);let Ue={program:ea,buffers:Li,uniformValues:Be,atlasTexture:co,atlasTextureIcon:yo,atlasInterpolation:Ro,atlasInterpolationIcon:Ds,isSDF:Qi,hasHalo:we};if(Mt&&di.canOverlap){Dt=!0;let We=Li.segments.get();for(let wt of We)mr.push({segments:new a.a0([wt]),sortKey:wt.sortKey,state:Ue,terrainData:To})}else mr.push({segments:Li.segments,sortKey:0,state:Ue,terrainData:To})}Dt&&mr.sort((zr,Xr)=>zr.sortKey-Xr.sortKey);for(let zr of mr){let Xr=zr.state;if(hr.activeTexture.set(Sr.TEXTURE0),Xr.atlasTexture.bind(Xr.atlasInterpolation,Sr.CLAMP_TO_EDGE),Xr.atlasTextureIcon&&(hr.activeTexture.set(Sr.TEXTURE1),Xr.atlasTextureIcon&&Xr.atlasTextureIcon.bind(Xr.atlasInterpolationIcon,Sr.CLAMP_TO_EDGE)),Xr.isSDF){let di=Xr.uniformValues;Xr.hasHalo&&(di.u_is_halo=1,Eh(Xr.buffers,zr.segments,B,le,Xr.program,Ut,Ot,Nt,di,zr.terrainData)),di.u_is_halo=0}Eh(Xr.buffers,zr.segments,B,le,Xr.program,Ut,Ot,Nt,Xr.uniformValues,zr.terrainData)}}function Eh(le,w,B,Q,ee,se,qe,je,it,yt){let Ot=Q.context;ee.draw(Ot,Ot.gl.TRIANGLES,se,qe,je,Ja.disabled,it,yt,B.id,le.layoutVertexBuffer,le.indexBuffer,w,B.paint,Q.transform.zoom,le.programConfigurations.get(B.id),le.dynamicLayoutVertexBuffer,le.opacityVertexBuffer)}function nh(le,w,B,Q){let ee=le.context,se=ee.gl,qe=$o.disabled,je=new Ps([se.ONE,se.ONE],a.aM.transparent,[!0,!0,!0,!0]),it=w.getBucket(B);if(!it)return;let yt=Q.key,Ot=B.heatmapFbos.get(yt);Ot||(Ot=kh(ee,w.tileSize,w.tileSize),B.heatmapFbos.set(yt,Ot)),ee.bindFramebuffer.set(Ot.framebuffer),ee.viewport.set([0,0,w.tileSize,w.tileSize]),ee.clear({color:a.aM.transparent});let Nt=it.programConfigurations.get(B.id),hr=le.useProgram(\"heatmap\",Nt),Sr=le.style.map.terrain.getTerrainData(Q);hr.draw(ee,se.TRIANGLES,wo.disabled,qe,je,Ja.disabled,xo(Q.posMatrix,w,le.transform.zoom,B.paint.get(\"heatmap-intensity\")),Sr,B.id,it.layoutVertexBuffer,it.indexBuffer,it.segments,B.paint,le.transform.zoom,Nt)}function hf(le,w,B){let Q=le.context,ee=Q.gl;Q.setColorMode(le.colorModeForRenderPass());let se=Kh(Q,w),qe=B.key,je=w.heatmapFbos.get(qe);je&&(Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,je.colorAttachment.get()),Q.activeTexture.set(ee.TEXTURE1),se.bind(ee.LINEAR,ee.CLAMP_TO_EDGE),le.useProgram(\"heatmapTexture\").draw(Q,ee.TRIANGLES,wo.disabled,$o.disabled,le.colorModeForRenderPass(),Ja.disabled,zs(le,w,0,1),null,w.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments,w.paint,le.transform.zoom),je.destroy(),w.heatmapFbos.delete(qe))}function kh(le,w,B){var Q,ee;let se=le.gl,qe=se.createTexture();se.bindTexture(se.TEXTURE_2D,qe),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_S,se.CLAMP_TO_EDGE),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_T,se.CLAMP_TO_EDGE),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MIN_FILTER,se.LINEAR),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MAG_FILTER,se.LINEAR);let je=(Q=le.HALF_FLOAT)!==null&&Q!==void 0?Q:se.UNSIGNED_BYTE,it=(ee=le.RGBA16F)!==null&&ee!==void 0?ee:se.RGBA;se.texImage2D(se.TEXTURE_2D,0,it,w,B,0,se.RGBA,je,null);let yt=le.createFramebuffer(w,B,!1,!1);return yt.colorAttachment.set(qe),yt}function Kh(le,w){return w.colorRampTexture||(w.colorRampTexture=new p(le,w.colorRamp,le.gl.RGBA)),w.colorRampTexture}function rc(le,w,B,Q,ee){if(!B||!Q||!Q.imageAtlas)return;let se=Q.imageAtlas.patternPositions,qe=se[B.to.toString()],je=se[B.from.toString()];if(!qe&&je&&(qe=je),!je&&qe&&(je=qe),!qe||!je){let it=ee.getPaintProperty(w);qe=se[it],je=se[it]}qe&&je&&le.setConstantPatternPositions(qe,je)}function ah(le,w,B,Q,ee,se,qe){let je=le.context.gl,it=\"fill-pattern\",yt=B.paint.get(it),Ot=yt&&yt.constantOr(1),Nt=B.getCrossfadeParameters(),hr,Sr,he,be,Pe;qe?(Sr=Ot&&!B.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",hr=je.LINES):(Sr=Ot?\"fillPattern\":\"fill\",hr=je.TRIANGLES);let Oe=yt.constantOr(null);for(let Je of Q){let He=w.getTile(Je);if(Ot&&!He.patternsLoaded())continue;let et=He.getBucket(B);if(!et)continue;let Mt=et.programConfigurations.get(B.id),Dt=le.useProgram(Sr,Mt),Ut=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Je);Ot&&(le.context.activeTexture.set(je.TEXTURE0),He.imageAtlasTexture.bind(je.LINEAR,je.CLAMP_TO_EDGE),Mt.updatePaintBuffers(Nt)),rc(Mt,it,Oe,He,B);let tr=Ut?Je:null,mr=le.translatePosMatrix(tr?tr.posMatrix:Je.posMatrix,He,B.paint.get(\"fill-translate\"),B.paint.get(\"fill-translate-anchor\"));if(qe){be=et.indexBuffer2,Pe=et.segments2;let Rr=[je.drawingBufferWidth,je.drawingBufferHeight];he=Sr===\"fillOutlinePattern\"&&Ot?Sa(mr,le,Nt,He,Rr):Fn(mr,Rr)}else be=et.indexBuffer,Pe=et.segments,he=Ot?ua(mr,le,Nt,He):Ji(mr);Dt.draw(le.context,hr,ee,le.stencilModeForClipping(Je),se,Ja.disabled,he,Ut,B.id,et.layoutVertexBuffer,be,Pe,B.paint,le.transform.zoom,Mt)}}function Wc(le,w,B,Q,ee,se,qe){let je=le.context,it=je.gl,yt=\"fill-extrusion-pattern\",Ot=B.paint.get(yt),Nt=Ot.constantOr(1),hr=B.getCrossfadeParameters(),Sr=B.paint.get(\"fill-extrusion-opacity\"),he=Ot.constantOr(null);for(let be of Q){let Pe=w.getTile(be),Oe=Pe.getBucket(B);if(!Oe)continue;let Je=le.style.map.terrain&&le.style.map.terrain.getTerrainData(be),He=Oe.programConfigurations.get(B.id),et=le.useProgram(Nt?\"fillExtrusionPattern\":\"fillExtrusion\",He);Nt&&(le.context.activeTexture.set(it.TEXTURE0),Pe.imageAtlasTexture.bind(it.LINEAR,it.CLAMP_TO_EDGE),He.updatePaintBuffers(hr)),rc(He,yt,he,Pe,B);let Mt=le.translatePosMatrix(be.posMatrix,Pe,B.paint.get(\"fill-extrusion-translate\"),B.paint.get(\"fill-extrusion-translate-anchor\")),Dt=B.paint.get(\"fill-extrusion-vertical-gradient\"),Ut=Nt?hi(Mt,le,Dt,Sr,be,hr,Pe):an(Mt,le,Dt,Sr);et.draw(je,je.gl.TRIANGLES,ee,se,qe,Ja.backCCW,Ut,Je,B.id,Oe.layoutVertexBuffer,Oe.indexBuffer,Oe.segments,B.paint,le.transform.zoom,He,le.style.map.terrain&&Oe.centroidVertexBuffer)}}function df(le,w,B,Q,ee,se,qe){let je=le.context,it=je.gl,yt=B.fbo;if(!yt)return;let Ot=le.useProgram(\"hillshade\"),Nt=le.style.map.terrain&&le.style.map.terrain.getTerrainData(w);je.activeTexture.set(it.TEXTURE0),it.bindTexture(it.TEXTURE_2D,yt.colorAttachment.get()),Ot.draw(je,it.TRIANGLES,ee,se,qe,Ja.disabled,((hr,Sr,he,be)=>{let Pe=he.paint.get(\"hillshade-shadow-color\"),Oe=he.paint.get(\"hillshade-highlight-color\"),Je=he.paint.get(\"hillshade-accent-color\"),He=he.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);he.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(He-=hr.transform.angle);let et=!hr.options.moving;return{u_matrix:be?be.posMatrix:hr.transform.calculatePosMatrix(Sr.tileID.toUnwrapped(),et),u_image:0,u_latrange:ks(0,Sr.tileID),u_light:[he.paint.get(\"hillshade-exaggeration\"),He],u_shadow:Pe,u_highlight:Oe,u_accent:Je}})(le,B,Q,Nt?w:null),Nt,Q.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments)}function Cu(le,w,B,Q,ee,se){let qe=le.context,je=qe.gl,it=w.dem;if(it&&it.data){let yt=it.dim,Ot=it.stride,Nt=it.getPixels();if(qe.activeTexture.set(je.TEXTURE1),qe.pixelStoreUnpackPremultiplyAlpha.set(!1),w.demTexture=w.demTexture||le.getTileTexture(Ot),w.demTexture){let Sr=w.demTexture;Sr.update(Nt,{premultiply:!1}),Sr.bind(je.NEAREST,je.CLAMP_TO_EDGE)}else w.demTexture=new p(qe,Nt,je.RGBA,{premultiply:!1}),w.demTexture.bind(je.NEAREST,je.CLAMP_TO_EDGE);qe.activeTexture.set(je.TEXTURE0);let hr=w.fbo;if(!hr){let Sr=new p(qe,{width:yt,height:yt,data:null},je.RGBA);Sr.bind(je.LINEAR,je.CLAMP_TO_EDGE),hr=w.fbo=qe.createFramebuffer(yt,yt,!0,!1),hr.colorAttachment.set(Sr.texture)}qe.bindFramebuffer.set(hr.framebuffer),qe.viewport.set([0,0,yt,yt]),le.useProgram(\"hillshadePrepare\").draw(qe,je.TRIANGLES,Q,ee,se,Ja.disabled,((Sr,he)=>{let be=he.stride,Pe=a.H();return a.aP(Pe,0,a.X,-a.X,0,0,1),a.J(Pe,Pe,[0,-a.X,0]),{u_matrix:Pe,u_image:1,u_dimension:[be,be],u_zoom:Sr.overscaledZ,u_unpack:he.getUnpackVector()}})(w.tileID,it),null,B.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments),w.needsHillshadePrepare=!1}}function Nf(le,w,B,Q,ee,se){let qe=Q.paint.get(\"raster-fade-duration\");if(!se&&qe>0){let je=u.now(),it=(je-le.timeAdded)/qe,yt=w?(je-w.timeAdded)/qe:-1,Ot=B.getSource(),Nt=ee.coveringZoomLevel({tileSize:Ot.tileSize,roundZoom:Ot.roundZoom}),hr=!w||Math.abs(w.tileID.overscaledZ-Nt)>Math.abs(le.tileID.overscaledZ-Nt),Sr=hr&&le.refreshedUponExpiration?1:a.ac(hr?it:1-yt,0,1);return le.refreshedUponExpiration&&it>=1&&(le.refreshedUponExpiration=!1),w?{opacity:1,mix:1-Sr}:{opacity:Sr,mix:0}}return{opacity:1,mix:0}}let Zc=new a.aM(1,0,0,1),ds=new a.aM(0,1,0,1),Ch=new a.aM(0,0,1,1),Bd=new a.aM(1,0,1,1),Jh=new a.aM(0,1,1,1);function Cf(le,w,B,Q){Lu(le,0,w+B/2,le.transform.width,B,Q)}function pd(le,w,B,Q){Lu(le,w-B/2,0,B,le.transform.height,Q)}function Lu(le,w,B,Q,ee,se){let qe=le.context,je=qe.gl;je.enable(je.SCISSOR_TEST),je.scissor(w*le.pixelRatio,B*le.pixelRatio,Q*le.pixelRatio,ee*le.pixelRatio),qe.clear({color:se}),je.disable(je.SCISSOR_TEST)}function $h(le,w,B){let Q=le.context,ee=Q.gl,se=B.posMatrix,qe=le.useProgram(\"debug\"),je=wo.disabled,it=$o.disabled,yt=le.colorModeForRenderPass(),Ot=\"$debug\",Nt=le.style.map.terrain&&le.style.map.terrain.getTerrainData(B);Q.activeTexture.set(ee.TEXTURE0);let hr=w.getTileByID(B.key).latestRawTileData,Sr=Math.floor((hr&&hr.byteLength||0)/1024),he=w.getTile(B).tileSize,be=512/Math.min(he,512)*(B.overscaledZ/le.transform.zoom)*.5,Pe=B.canonical.toString();B.overscaledZ!==B.canonical.z&&(Pe+=` => ${B.overscaledZ}`),function(Oe,Je){Oe.initDebugOverlayCanvas();let He=Oe.debugOverlayCanvas,et=Oe.context.gl,Mt=Oe.debugOverlayCanvas.getContext(\"2d\");Mt.clearRect(0,0,He.width,He.height),Mt.shadowColor=\"white\",Mt.shadowBlur=2,Mt.lineWidth=1.5,Mt.strokeStyle=\"white\",Mt.textBaseline=\"top\",Mt.font=\"bold 36px Open Sans, sans-serif\",Mt.fillText(Je,5,5),Mt.strokeText(Je,5,5),Oe.debugOverlayTexture.update(He),Oe.debugOverlayTexture.bind(et.LINEAR,et.CLAMP_TO_EDGE)}(le,`${Pe} ${Sr}kB`),qe.draw(Q,ee.TRIANGLES,je,it,Ps.alphaBlended,Ja.disabled,ho(se,a.aM.transparent,be),null,Ot,le.debugBuffer,le.quadTriangleIndexBuffer,le.debugSegments),qe.draw(Q,ee.LINE_STRIP,je,it,yt,Ja.disabled,ho(se,a.aM.red),Nt,Ot,le.debugBuffer,le.tileBorderIndexBuffer,le.debugSegments)}function eu(le,w,B){let Q=le.context,ee=Q.gl,se=le.colorModeForRenderPass(),qe=new wo(ee.LEQUAL,wo.ReadWrite,le.depthRangeFor3D),je=le.useProgram(\"terrain\"),it=w.getTerrainMesh();Q.bindFramebuffer.set(null),Q.viewport.set([0,0,le.width,le.height]);for(let yt of B){let Ot=le.renderToTexture.getTexture(yt),Nt=w.getTerrainData(yt.tileID);Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Ot.texture);let hr=le.transform.calculatePosMatrix(yt.tileID.toUnwrapped()),Sr=w.getMeshFrameDelta(le.transform.zoom),he=le.transform.calculateFogMatrix(yt.tileID.toUnwrapped()),be=Hr(hr,Sr,he,le.style.sky,le.transform.pitch);je.draw(Q,ee.TRIANGLES,qe,$o.disabled,se,Ja.backCCW,be,Nt,\"terrain\",it.vertexBuffer,it.indexBuffer,it.segments)}}class Pu{constructor(w,B,Q){this.vertexBuffer=w,this.indexBuffer=B,this.segments=Q}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Lc{constructor(w,B){this.context=new ov(w),this.transform=B,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:a.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new jo}resize(w,B,Q){if(this.width=Math.floor(w*Q),this.height=Math.floor(B*Q),this.pixelRatio=Q,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let ee of this.style._order)this.style._layers[ee].resize()}setup(){let w=this.context,B=new a.aX;B.emplaceBack(0,0),B.emplaceBack(a.X,0),B.emplaceBack(0,a.X),B.emplaceBack(a.X,a.X),this.tileExtentBuffer=w.createVertexBuffer(B,oo.members),this.tileExtentSegments=a.a0.simpleSegment(0,0,4,2);let Q=new a.aX;Q.emplaceBack(0,0),Q.emplaceBack(a.X,0),Q.emplaceBack(0,a.X),Q.emplaceBack(a.X,a.X),this.debugBuffer=w.createVertexBuffer(Q,oo.members),this.debugSegments=a.a0.simpleSegment(0,0,4,5);let ee=new a.$;ee.emplaceBack(0,0,0,0),ee.emplaceBack(a.X,0,a.X,0),ee.emplaceBack(0,a.X,0,a.X),ee.emplaceBack(a.X,a.X,a.X,a.X),this.rasterBoundsBuffer=w.createVertexBuffer(ee,ot.members),this.rasterBoundsSegments=a.a0.simpleSegment(0,0,4,2);let se=new a.aX;se.emplaceBack(0,0),se.emplaceBack(1,0),se.emplaceBack(0,1),se.emplaceBack(1,1),this.viewportBuffer=w.createVertexBuffer(se,oo.members),this.viewportSegments=a.a0.simpleSegment(0,0,4,2);let qe=new a.aZ;qe.emplaceBack(0),qe.emplaceBack(1),qe.emplaceBack(3),qe.emplaceBack(2),qe.emplaceBack(0),this.tileBorderIndexBuffer=w.createIndexBuffer(qe);let je=new a.aY;je.emplaceBack(0,1,2),je.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=w.createIndexBuffer(je);let it=this.context.gl;this.stencilClearMode=new $o({func:it.ALWAYS,mask:0},0,255,it.ZERO,it.ZERO,it.ZERO)}clearStencil(){let w=this.context,B=w.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let Q=a.H();a.aP(Q,0,this.width,this.height,0,0,1),a.K(Q,Q,[B.drawingBufferWidth,B.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(w,B.TRIANGLES,wo.disabled,this.stencilClearMode,Ps.disabled,Ja.disabled,Mo(Q),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(w,B){if(this.currentStencilSource===w.source||!w.isTileClipped()||!B||!B.length)return;this.currentStencilSource=w.source;let Q=this.context,ee=Q.gl;this.nextStencilID+B.length>256&&this.clearStencil(),Q.setColorMode(Ps.disabled),Q.setDepthMode(wo.disabled);let se=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let qe of B){let je=this._tileClippingMaskIDs[qe.key]=this.nextStencilID++,it=this.style.map.terrain&&this.style.map.terrain.getTerrainData(qe);se.draw(Q,ee.TRIANGLES,wo.disabled,new $o({func:ee.ALWAYS,mask:0},je,255,ee.KEEP,ee.KEEP,ee.REPLACE),Ps.disabled,Ja.disabled,Mo(qe.posMatrix),it,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let w=this.nextStencilID++,B=this.context.gl;return new $o({func:B.NOTEQUAL,mask:255},w,255,B.KEEP,B.KEEP,B.REPLACE)}stencilModeForClipping(w){let B=this.context.gl;return new $o({func:B.EQUAL,mask:255},this._tileClippingMaskIDs[w.key],0,B.KEEP,B.KEEP,B.REPLACE)}stencilConfigForOverlap(w){let B=this.context.gl,Q=w.sort((qe,je)=>je.overscaledZ-qe.overscaledZ),ee=Q[Q.length-1].overscaledZ,se=Q[0].overscaledZ-ee+1;if(se>1){this.currentStencilSource=void 0,this.nextStencilID+se>256&&this.clearStencil();let qe={};for(let je=0;je<se;je++)qe[je+ee]=new $o({func:B.GEQUAL,mask:255},je+this.nextStencilID,255,B.KEEP,B.KEEP,B.REPLACE);return this.nextStencilID+=se,[qe,Q]}return[{[ee]:$o.disabled},Q]}colorModeForRenderPass(){let w=this.context.gl;return this._showOverdrawInspector?new Ps([w.CONSTANT_COLOR,w.ONE],new a.aM(.125,.125,.125,0),[!0,!0,!0,!0]):this.renderPass===\"opaque\"?Ps.unblended:Ps.alphaBlended}depthModeForSublayer(w,B,Q){if(!this.opaquePassEnabledForLayer())return wo.disabled;let ee=1-((1+this.currentLayer)*this.numSublayers+w)*this.depthEpsilon;return new wo(Q||this.context.gl.LEQUAL,B,[ee,ee])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(w,B){this.style=w,this.options=B,this.lineAtlas=w.lineAtlas,this.imageManager=w.imageManager,this.glyphManager=w.glyphManager,this.symbolFadeChange=w.placement.symbolFadeChange(u.now()),this.imageManager.beginFrame();let Q=this.style._order,ee=this.style.sourceCaches,se={},qe={},je={};for(let it in ee){let yt=ee[it];yt.used&&yt.prepare(this.context),se[it]=yt.getVisibleCoordinates(),qe[it]=se[it].slice().reverse(),je[it]=yt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let it=0;it<Q.length;it++)if(this.style._layers[Q[it]].is3D()){this.opaquePassCutoff=it;break}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(let it of Q){let yt=this.style._layers[it];if(!yt.hasOffscreenPass()||yt.isHidden(this.transform.zoom))continue;let Ot=qe[yt.source];(yt.type===\"custom\"||Ot.length)&&this.renderLayer(this,ee[yt.source],yt,Ot)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:B.showOverdrawInspector?a.aM.black:a.aM.transparent,depth:1}),this.clearStencil(),this.style.sky&&function(it,yt){let Ot=it.context,Nt=Ot.gl,hr=((Oe,Je,He)=>({u_sky_color:Oe.properties.get(\"sky-color\"),u_horizon_color:Oe.properties.get(\"horizon-color\"),u_horizon:(Je.height/2+Je.getHorizon())*He,u_sky_horizon_blend:Oe.properties.get(\"sky-horizon-blend\")*Je.height/2*He}))(yt,it.style.map.transform,it.pixelRatio),Sr=new wo(Nt.LEQUAL,wo.ReadWrite,[0,1]),he=$o.disabled,be=it.colorModeForRenderPass(),Pe=it.useProgram(\"sky\");if(!yt.mesh){let Oe=new a.aX;Oe.emplaceBack(-1,-1),Oe.emplaceBack(1,-1),Oe.emplaceBack(1,1),Oe.emplaceBack(-1,1);let Je=new a.aY;Je.emplaceBack(0,1,2),Je.emplaceBack(0,2,3),yt.mesh=new Pu(Ot.createVertexBuffer(Oe,oo.members),Ot.createIndexBuffer(Je),a.a0.simpleSegment(0,0,Oe.length,Je.length))}Pe.draw(Ot,Nt.TRIANGLES,Sr,he,be,Ja.disabled,hr,void 0,\"sky\",yt.mesh.vertexBuffer,yt.mesh.indexBuffer,yt.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=B.showOverdrawInspector,this.depthRangeFor3D=[0,1-(w._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=Q.length-1;this.currentLayer>=0;this.currentLayer--){let it=this.style._layers[Q[this.currentLayer]],yt=ee[it.source],Ot=se[it.source];this._renderTileClippingMasks(it,Ot),this.renderLayer(this,yt,it,Ot)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<Q.length;this.currentLayer++){let it=this.style._layers[Q[this.currentLayer]],yt=ee[it.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(it))continue;let Ot=(it.type===\"symbol\"?je:qe)[it.source];this._renderTileClippingMasks(it,se[it.source]),this.renderLayer(this,yt,it,Ot)}if(this.options.showTileBoundaries){let it=function(yt,Ot){let Nt=null,hr=Object.values(yt._layers).flatMap(Pe=>Pe.source&&!Pe.isHidden(Ot)?[yt.sourceCaches[Pe.source]]:[]),Sr=hr.filter(Pe=>Pe.getSource().type===\"vector\"),he=hr.filter(Pe=>Pe.getSource().type!==\"vector\"),be=Pe=>{(!Nt||Nt.getSource().maxzoom<Pe.getSource().maxzoom)&&(Nt=Pe)};return Sr.forEach(Pe=>be(Pe)),Nt||he.forEach(Pe=>be(Pe)),Nt}(this.style,this.transform.zoom);it&&function(yt,Ot,Nt){for(let hr=0;hr<Nt.length;hr++)$h(yt,Ot,Nt[hr])}(this,it,it.getVisibleCoordinates())}this.options.showPadding&&function(it){let yt=it.transform.padding;Cf(it,it.transform.height-(yt.top||0),3,Zc),Cf(it,yt.bottom||0,3,ds),pd(it,yt.left||0,3,Ch),pd(it,it.transform.width-(yt.right||0),3,Bd);let Ot=it.transform.centerPoint;(function(Nt,hr,Sr,he){Lu(Nt,hr-1,Sr-10,2,20,he),Lu(Nt,hr-10,Sr-1,20,2,he)})(it,Ot.x,it.transform.height-Ot.y,Jh)}(this),this.context.setDefault()}maybeDrawDepthAndCoords(w){if(!this.style||!this.style.map||!this.style.map.terrain)return;let B=this.terrainFacilitator.matrix,Q=this.transform.modelViewProjectionMatrix,ee=this.terrainFacilitator.dirty;ee||(ee=w?!a.a_(B,Q):!a.a$(B,Q)),ee||(ee=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),ee&&(a.b0(B,Q),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(se,qe){let je=se.context,it=je.gl,yt=Ps.unblended,Ot=new wo(it.LEQUAL,wo.ReadWrite,[0,1]),Nt=qe.getTerrainMesh(),hr=qe.sourceCache.getRenderableTiles(),Sr=se.useProgram(\"terrainDepth\");je.bindFramebuffer.set(qe.getFramebuffer(\"depth\").framebuffer),je.viewport.set([0,0,se.width/devicePixelRatio,se.height/devicePixelRatio]),je.clear({color:a.aM.transparent,depth:1});for(let he of hr){let be=qe.getTerrainData(he.tileID),Pe={u_matrix:se.transform.calculatePosMatrix(he.tileID.toUnwrapped()),u_ele_delta:qe.getMeshFrameDelta(se.transform.zoom)};Sr.draw(je,it.TRIANGLES,Ot,$o.disabled,yt,Ja.backCCW,Pe,be,\"terrain\",Nt.vertexBuffer,Nt.indexBuffer,Nt.segments)}je.bindFramebuffer.set(null),je.viewport.set([0,0,se.width,se.height])}(this,this.style.map.terrain),function(se,qe){let je=se.context,it=je.gl,yt=Ps.unblended,Ot=new wo(it.LEQUAL,wo.ReadWrite,[0,1]),Nt=qe.getTerrainMesh(),hr=qe.getCoordsTexture(),Sr=qe.sourceCache.getRenderableTiles(),he=se.useProgram(\"terrainCoords\");je.bindFramebuffer.set(qe.getFramebuffer(\"coords\").framebuffer),je.viewport.set([0,0,se.width/devicePixelRatio,se.height/devicePixelRatio]),je.clear({color:a.aM.transparent,depth:1}),qe.coordsIndex=[];for(let be of Sr){let Pe=qe.getTerrainData(be.tileID);je.activeTexture.set(it.TEXTURE0),it.bindTexture(it.TEXTURE_2D,hr.texture);let Oe={u_matrix:se.transform.calculatePosMatrix(be.tileID.toUnwrapped()),u_terrain_coords_id:(255-qe.coordsIndex.length)/255,u_texture:0,u_ele_delta:qe.getMeshFrameDelta(se.transform.zoom)};he.draw(je,it.TRIANGLES,Ot,$o.disabled,yt,Ja.backCCW,Oe,Pe,\"terrain\",Nt.vertexBuffer,Nt.indexBuffer,Nt.segments),qe.coordsIndex.push(be.tileID.key)}je.bindFramebuffer.set(null),je.viewport.set([0,0,se.width,se.height])}(this,this.style.map.terrain))}renderLayer(w,B,Q,ee){if(!Q.isHidden(this.transform.zoom)&&(Q.type===\"background\"||Q.type===\"custom\"||(ee||[]).length))switch(this.id=Q.id,Q.type){case\"symbol\":(function(se,qe,je,it,yt){if(se.renderPass!==\"translucent\")return;let Ot=$o.disabled,Nt=se.colorModeForRenderPass();(je._unevaluatedLayout.hasValue(\"text-variable-anchor\")||je._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(hr,Sr,he,be,Pe,Oe,Je,He,et){let Mt=Sr.transform,Dt=Gi(),Ut=Pe===\"map\",tr=Oe===\"map\";for(let mr of hr){let Rr=be.getTile(mr),zr=Rr.getBucket(he);if(!zr||!zr.text||!zr.text.segments.get().length)continue;let Xr=a.ag(zr.textSizeData,Mt.zoom),di=nn(Rr,1,Sr.transform.zoom),Li=Or(mr.posMatrix,tr,Ut,Sr.transform,di),Ci=he.layout.get(\"icon-text-fit\")!==\"none\"&&zr.hasIconData();if(Xr){let Qi=Math.pow(2,Mt.zoom-Rr.tileID.overscaledZ),Mn=Sr.style.map.terrain?(ea,Ga)=>Sr.style.map.terrain.getElevation(mr,ea,Ga):null,pa=Dt.translatePosition(Mt,Rr,Je,He);kf(zr,Ut,tr,et,Mt,Li,mr.posMatrix,Qi,Xr,Ci,Dt,pa,mr.toUnwrapped(),Mn)}}}(it,se,je,qe,je.layout.get(\"text-rotation-alignment\"),je.layout.get(\"text-pitch-alignment\"),je.paint.get(\"text-translate\"),je.paint.get(\"text-translate-anchor\"),yt),je.paint.get(\"icon-opacity\").constantOr(1)!==0&&Yh(se,qe,je,it,!1,je.paint.get(\"icon-translate\"),je.paint.get(\"icon-translate-anchor\"),je.layout.get(\"icon-rotation-alignment\"),je.layout.get(\"icon-pitch-alignment\"),je.layout.get(\"icon-keep-upright\"),Ot,Nt),je.paint.get(\"text-opacity\").constantOr(1)!==0&&Yh(se,qe,je,it,!0,je.paint.get(\"text-translate\"),je.paint.get(\"text-translate-anchor\"),je.layout.get(\"text-rotation-alignment\"),je.layout.get(\"text-pitch-alignment\"),je.layout.get(\"text-keep-upright\"),Ot,Nt),qe.map.showCollisionBoxes&&(tc(se,qe,je,it,!0),tc(se,qe,je,it,!1))})(w,B,Q,ee,this.style.placement.variableOffsets);break;case\"circle\":(function(se,qe,je,it){if(se.renderPass!==\"translucent\")return;let yt=je.paint.get(\"circle-opacity\"),Ot=je.paint.get(\"circle-stroke-width\"),Nt=je.paint.get(\"circle-stroke-opacity\"),hr=!je.layout.get(\"circle-sort-key\").isConstant();if(yt.constantOr(1)===0&&(Ot.constantOr(1)===0||Nt.constantOr(1)===0))return;let Sr=se.context,he=Sr.gl,be=se.depthModeForSublayer(0,wo.ReadOnly),Pe=$o.disabled,Oe=se.colorModeForRenderPass(),Je=[];for(let He=0;He<it.length;He++){let et=it[He],Mt=qe.getTile(et),Dt=Mt.getBucket(je);if(!Dt)continue;let Ut=Dt.programConfigurations.get(je.id),tr=se.useProgram(\"circle\",Ut),mr=Dt.layoutVertexBuffer,Rr=Dt.indexBuffer,zr=se.style.map.terrain&&se.style.map.terrain.getTerrainData(et),Xr={programConfiguration:Ut,program:tr,layoutVertexBuffer:mr,indexBuffer:Rr,uniformValues:go(se,et,Mt,je),terrainData:zr};if(hr){let di=Dt.segments.get();for(let Li of di)Je.push({segments:new a.a0([Li]),sortKey:Li.sortKey,state:Xr})}else Je.push({segments:Dt.segments,sortKey:0,state:Xr})}hr&&Je.sort((He,et)=>He.sortKey-et.sortKey);for(let He of Je){let{programConfiguration:et,program:Mt,layoutVertexBuffer:Dt,indexBuffer:Ut,uniformValues:tr,terrainData:mr}=He.state;Mt.draw(Sr,he.TRIANGLES,be,Pe,Oe,Ja.disabled,tr,mr,je.id,Dt,Ut,He.segments,je.paint,se.transform.zoom,et)}})(w,B,Q,ee);break;case\"heatmap\":(function(se,qe,je,it){if(je.paint.get(\"heatmap-opacity\")===0)return;let yt=se.context;if(se.style.map.terrain){for(let Ot of it){let Nt=qe.getTile(Ot);qe.hasRenderableParent(Ot)||(se.renderPass===\"offscreen\"?nh(se,Nt,je,Ot):se.renderPass===\"translucent\"&&hf(se,je,Ot))}yt.viewport.set([0,0,se.width,se.height])}else se.renderPass===\"offscreen\"?function(Ot,Nt,hr,Sr){let he=Ot.context,be=he.gl,Pe=$o.disabled,Oe=new Ps([be.ONE,be.ONE],a.aM.transparent,[!0,!0,!0,!0]);(function(Je,He,et){let Mt=Je.gl;Je.activeTexture.set(Mt.TEXTURE1),Je.viewport.set([0,0,He.width/4,He.height/4]);let Dt=et.heatmapFbos.get(a.aU);Dt?(Mt.bindTexture(Mt.TEXTURE_2D,Dt.colorAttachment.get()),Je.bindFramebuffer.set(Dt.framebuffer)):(Dt=kh(Je,He.width/4,He.height/4),et.heatmapFbos.set(a.aU,Dt))})(he,Ot,hr),he.clear({color:a.aM.transparent});for(let Je=0;Je<Sr.length;Je++){let He=Sr[Je];if(Nt.hasRenderableParent(He))continue;let et=Nt.getTile(He),Mt=et.getBucket(hr);if(!Mt)continue;let Dt=Mt.programConfigurations.get(hr.id),Ut=Ot.useProgram(\"heatmap\",Dt),{zoom:tr}=Ot.transform;Ut.draw(he,be.TRIANGLES,wo.disabled,Pe,Oe,Ja.disabled,xo(He.posMatrix,et,tr,hr.paint.get(\"heatmap-intensity\")),null,hr.id,Mt.layoutVertexBuffer,Mt.indexBuffer,Mt.segments,hr.paint,Ot.transform.zoom,Dt)}he.viewport.set([0,0,Ot.width,Ot.height])}(se,qe,je,it):se.renderPass===\"translucent\"&&function(Ot,Nt){let hr=Ot.context,Sr=hr.gl;hr.setColorMode(Ot.colorModeForRenderPass());let he=Nt.heatmapFbos.get(a.aU);he&&(hr.activeTexture.set(Sr.TEXTURE0),Sr.bindTexture(Sr.TEXTURE_2D,he.colorAttachment.get()),hr.activeTexture.set(Sr.TEXTURE1),Kh(hr,Nt).bind(Sr.LINEAR,Sr.CLAMP_TO_EDGE),Ot.useProgram(\"heatmapTexture\").draw(hr,Sr.TRIANGLES,wo.disabled,$o.disabled,Ot.colorModeForRenderPass(),Ja.disabled,zs(Ot,Nt,0,1),null,Nt.id,Ot.viewportBuffer,Ot.quadTriangleIndexBuffer,Ot.viewportSegments,Nt.paint,Ot.transform.zoom))}(se,je)})(w,B,Q,ee);break;case\"line\":(function(se,qe,je,it){if(se.renderPass!==\"translucent\")return;let yt=je.paint.get(\"line-opacity\"),Ot=je.paint.get(\"line-width\");if(yt.constantOr(1)===0||Ot.constantOr(1)===0)return;let Nt=se.depthModeForSublayer(0,wo.ReadOnly),hr=se.colorModeForRenderPass(),Sr=je.paint.get(\"line-dasharray\"),he=je.paint.get(\"line-pattern\"),be=he.constantOr(1),Pe=je.paint.get(\"line-gradient\"),Oe=je.getCrossfadeParameters(),Je=be?\"linePattern\":Sr?\"lineSDF\":Pe?\"lineGradient\":\"line\",He=se.context,et=He.gl,Mt=!0;for(let Dt of it){let Ut=qe.getTile(Dt);if(be&&!Ut.patternsLoaded())continue;let tr=Ut.getBucket(je);if(!tr)continue;let mr=tr.programConfigurations.get(je.id),Rr=se.context.program.get(),zr=se.useProgram(Je,mr),Xr=Mt||zr.program!==Rr,di=se.style.map.terrain&&se.style.map.terrain.getTerrainData(Dt),Li=he.constantOr(null);if(Li&&Ut.imageAtlas){let Mn=Ut.imageAtlas,pa=Mn.patternPositions[Li.to.toString()],ea=Mn.patternPositions[Li.from.toString()];pa&&ea&&mr.setConstantPatternPositions(pa,ea)}let Ci=di?Dt:null,Qi=be?wl(se,Ut,je,Oe,Ci):Sr?os(se,Ut,je,Sr,Oe,Ci):Pe?Xs(se,Ut,je,tr.lineClipsArray.length,Ci):Zs(se,Ut,je,Ci);if(be)He.activeTexture.set(et.TEXTURE0),Ut.imageAtlasTexture.bind(et.LINEAR,et.CLAMP_TO_EDGE),mr.updatePaintBuffers(Oe);else if(Sr&&(Xr||se.lineAtlas.dirty))He.activeTexture.set(et.TEXTURE0),se.lineAtlas.bind(He);else if(Pe){let Mn=tr.gradients[je.id],pa=Mn.texture;if(je.gradientVersion!==Mn.version){let ea=256;if(je.stepInterpolant){let Ga=qe.getSource().maxzoom,To=Dt.canonical.z===Ga?Math.ceil(1<<se.transform.maxZoom-Dt.canonical.z):1;ea=a.ac(a.aV(tr.maxLineLength/a.X*1024*To),256,He.maxTextureSize)}Mn.gradient=a.aW({expression:je.gradientExpression(),evaluationKey:\"lineProgress\",resolution:ea,image:Mn.gradient||void 0,clips:tr.lineClipsArray}),Mn.texture?Mn.texture.update(Mn.gradient):Mn.texture=new p(He,Mn.gradient,et.RGBA),Mn.version=je.gradientVersion,pa=Mn.texture}He.activeTexture.set(et.TEXTURE0),pa.bind(je.stepInterpolant?et.NEAREST:et.LINEAR,et.CLAMP_TO_EDGE)}zr.draw(He,et.TRIANGLES,Nt,se.stencilModeForClipping(Dt),hr,Ja.disabled,Qi,di,je.id,tr.layoutVertexBuffer,tr.indexBuffer,tr.segments,je.paint,se.transform.zoom,mr,tr.layoutVertexBuffer2),Mt=!1}})(w,B,Q,ee);break;case\"fill\":(function(se,qe,je,it){let yt=je.paint.get(\"fill-color\"),Ot=je.paint.get(\"fill-opacity\");if(Ot.constantOr(1)===0)return;let Nt=se.colorModeForRenderPass(),hr=je.paint.get(\"fill-pattern\"),Sr=se.opaquePassEnabledForLayer()&&!hr.constantOr(1)&&yt.constantOr(a.aM.transparent).a===1&&Ot.constantOr(0)===1?\"opaque\":\"translucent\";if(se.renderPass===Sr){let he=se.depthModeForSublayer(1,se.renderPass===\"opaque\"?wo.ReadWrite:wo.ReadOnly);ah(se,qe,je,it,he,Nt,!1)}if(se.renderPass===\"translucent\"&&je.paint.get(\"fill-antialias\")){let he=se.depthModeForSublayer(je.getPaintProperty(\"fill-outline-color\")?2:0,wo.ReadOnly);ah(se,qe,je,it,he,Nt,!0)}})(w,B,Q,ee);break;case\"fill-extrusion\":(function(se,qe,je,it){let yt=je.paint.get(\"fill-extrusion-opacity\");if(yt!==0&&se.renderPass===\"translucent\"){let Ot=new wo(se.context.gl.LEQUAL,wo.ReadWrite,se.depthRangeFor3D);if(yt!==1||je.paint.get(\"fill-extrusion-pattern\").constantOr(1))Wc(se,qe,je,it,Ot,$o.disabled,Ps.disabled),Wc(se,qe,je,it,Ot,se.stencilModeFor3D(),se.colorModeForRenderPass());else{let Nt=se.colorModeForRenderPass();Wc(se,qe,je,it,Ot,$o.disabled,Nt)}}})(w,B,Q,ee);break;case\"hillshade\":(function(se,qe,je,it){if(se.renderPass!==\"offscreen\"&&se.renderPass!==\"translucent\")return;let yt=se.context,Ot=se.depthModeForSublayer(0,wo.ReadOnly),Nt=se.colorModeForRenderPass(),[hr,Sr]=se.renderPass===\"translucent\"?se.stencilConfigForOverlap(it):[{},it];for(let he of Sr){let be=qe.getTile(he);be.needsHillshadePrepare!==void 0&&be.needsHillshadePrepare&&se.renderPass===\"offscreen\"?Cu(se,be,je,Ot,$o.disabled,Nt):se.renderPass===\"translucent\"&&df(se,he,be,je,Ot,hr[he.overscaledZ],Nt)}yt.viewport.set([0,0,se.width,se.height])})(w,B,Q,ee);break;case\"raster\":(function(se,qe,je,it){if(se.renderPass!==\"translucent\"||je.paint.get(\"raster-opacity\")===0||!it.length)return;let yt=se.context,Ot=yt.gl,Nt=qe.getSource(),hr=se.useProgram(\"raster\"),Sr=se.colorModeForRenderPass(),[he,be]=Nt instanceof Rt?[{},it]:se.stencilConfigForOverlap(it),Pe=be[be.length-1].overscaledZ,Oe=!se.options.moving;for(let Je of be){let He=se.depthModeForSublayer(Je.overscaledZ-Pe,je.paint.get(\"raster-opacity\")===1?wo.ReadWrite:wo.ReadOnly,Ot.LESS),et=qe.getTile(Je);et.registerFadeDuration(je.paint.get(\"raster-fade-duration\"));let Mt=qe.findLoadedParent(Je,0),Dt=qe.findLoadedSibling(Je),Ut=Nf(et,Mt||Dt||null,qe,je,se.transform,se.style.map.terrain),tr,mr,Rr=je.paint.get(\"raster-resampling\")===\"nearest\"?Ot.NEAREST:Ot.LINEAR;yt.activeTexture.set(Ot.TEXTURE0),et.texture.bind(Rr,Ot.CLAMP_TO_EDGE,Ot.LINEAR_MIPMAP_NEAREST),yt.activeTexture.set(Ot.TEXTURE1),Mt?(Mt.texture.bind(Rr,Ot.CLAMP_TO_EDGE,Ot.LINEAR_MIPMAP_NEAREST),tr=Math.pow(2,Mt.tileID.overscaledZ-et.tileID.overscaledZ),mr=[et.tileID.canonical.x*tr%1,et.tileID.canonical.y*tr%1]):et.texture.bind(Rr,Ot.CLAMP_TO_EDGE,Ot.LINEAR_MIPMAP_NEAREST),et.texture.useMipmap&&yt.extTextureFilterAnisotropic&&se.transform.pitch>20&&Ot.texParameterf(Ot.TEXTURE_2D,yt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,yt.extTextureFilterAnisotropicMax);let zr=se.style.map.terrain&&se.style.map.terrain.getTerrainData(Je),Xr=zr?Je:null,di=Xr?Xr.posMatrix:se.transform.calculatePosMatrix(Je.toUnwrapped(),Oe),Li=ml(di,mr||[0,0],tr||1,Ut,je);Nt instanceof Rt?hr.draw(yt,Ot.TRIANGLES,He,$o.disabled,Sr,Ja.disabled,Li,zr,je.id,Nt.boundsBuffer,se.quadTriangleIndexBuffer,Nt.boundsSegments):hr.draw(yt,Ot.TRIANGLES,He,he[Je.overscaledZ],Sr,Ja.disabled,Li,zr,je.id,se.rasterBoundsBuffer,se.quadTriangleIndexBuffer,se.rasterBoundsSegments)}})(w,B,Q,ee);break;case\"background\":(function(se,qe,je,it){let yt=je.paint.get(\"background-color\"),Ot=je.paint.get(\"background-opacity\");if(Ot===0)return;let Nt=se.context,hr=Nt.gl,Sr=se.transform,he=Sr.tileSize,be=je.paint.get(\"background-pattern\");if(se.isPatternMissing(be))return;let Pe=!be&&yt.a===1&&Ot===1&&se.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(se.renderPass!==Pe)return;let Oe=$o.disabled,Je=se.depthModeForSublayer(0,Pe===\"opaque\"?wo.ReadWrite:wo.ReadOnly),He=se.colorModeForRenderPass(),et=se.useProgram(be?\"backgroundPattern\":\"background\"),Mt=it||Sr.coveringTiles({tileSize:he,terrain:se.style.map.terrain});be&&(Nt.activeTexture.set(hr.TEXTURE0),se.imageManager.bind(se.context));let Dt=je.getCrossfadeParameters();for(let Ut of Mt){let tr=it?Ut.posMatrix:se.transform.calculatePosMatrix(Ut.toUnwrapped()),mr=be?Hu(tr,Ot,se,be,{tileID:Ut,tileSize:he},Dt):$l(tr,Ot,yt),Rr=se.style.map.terrain&&se.style.map.terrain.getTerrainData(Ut);et.draw(Nt,hr.TRIANGLES,Je,Oe,He,Ja.disabled,mr,Rr,je.id,se.tileExtentBuffer,se.quadTriangleIndexBuffer,se.tileExtentSegments)}})(w,0,Q,ee);break;case\"custom\":(function(se,qe,je){let it=se.context,yt=je.implementation;if(se.renderPass===\"offscreen\"){let Ot=yt.prerender;Ot&&(se.setCustomLayerDefaults(),it.setColorMode(se.colorModeForRenderPass()),Ot.call(yt,it.gl,se.transform.customLayerMatrix()),it.setDirty(),se.setBaseState())}else if(se.renderPass===\"translucent\"){se.setCustomLayerDefaults(),it.setColorMode(se.colorModeForRenderPass()),it.setStencilMode($o.disabled);let Ot=yt.renderingMode===\"3d\"?new wo(se.context.gl.LEQUAL,wo.ReadWrite,se.depthRangeFor3D):se.depthModeForSublayer(0,wo.ReadOnly);it.setDepthMode(Ot),yt.render(it.gl,se.transform.customLayerMatrix(),{farZ:se.transform.farZ,nearZ:se.transform.nearZ,fov:se.transform._fov,modelViewProjectionMatrix:se.transform.modelViewProjectionMatrix,projectionMatrix:se.transform.projectionMatrix}),it.setDirty(),se.setBaseState(),it.bindFramebuffer.set(null)}})(w,0,Q)}}translatePosMatrix(w,B,Q,ee,se){if(!Q[0]&&!Q[1])return w;let qe=se?ee===\"map\"?this.transform.angle:0:ee===\"viewport\"?-this.transform.angle:0;if(qe){let yt=Math.sin(qe),Ot=Math.cos(qe);Q=[Q[0]*Ot-Q[1]*yt,Q[0]*yt+Q[1]*Ot]}let je=[se?Q[0]:nn(B,Q[0],this.transform.zoom),se?Q[1]:nn(B,Q[1],this.transform.zoom),0],it=new Float32Array(16);return a.J(it,w,je),it}saveTileTexture(w){let B=this._tileTextures[w.size[0]];B?B.push(w):this._tileTextures[w.size[0]]=[w]}getTileTexture(w){let B=this._tileTextures[w];return B&&B.length>0?B.pop():null}isPatternMissing(w){if(!w)return!1;if(!w.from||!w.to)return!0;let B=this.imageManager.getPattern(w.from.toString()),Q=this.imageManager.getPattern(w.to.toString());return!B||!Q}useProgram(w,B){this.cache=this.cache||{};let Q=w+(B?B.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[Q]||(this.cache[Q]=new zi(this.context,xn[w],B,fc[w],this._showOverdrawInspector,this.style.map.terrain)),this.cache[Q]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){let w=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(w.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new p(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:w,drawingBufferHeight:B}=this.context.gl;return this.width!==w||this.height!==B}}class fl{constructor(w,B){this.points=w,this.planes=B}static fromInvProjectionMatrix(w,B,Q){let ee=Math.pow(2,Q),se=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map(je=>{let it=1/(je=a.af([],je,w))[3]/B*ee;return a.b1(je,je,[it,it,1/je[3],it])}),qe=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(je=>{let it=function(hr,Sr){var he=Sr[0],be=Sr[1],Pe=Sr[2],Oe=he*he+be*be+Pe*Pe;return Oe>0&&(Oe=1/Math.sqrt(Oe)),hr[0]=Sr[0]*Oe,hr[1]=Sr[1]*Oe,hr[2]=Sr[2]*Oe,hr}([],function(hr,Sr,he){var be=Sr[0],Pe=Sr[1],Oe=Sr[2],Je=he[0],He=he[1],et=he[2];return hr[0]=Pe*et-Oe*He,hr[1]=Oe*Je-be*et,hr[2]=be*He-Pe*Je,hr}([],L([],se[je[0]],se[je[1]]),L([],se[je[2]],se[je[1]]))),yt=-((Ot=it)[0]*(Nt=se[je[1]])[0]+Ot[1]*Nt[1]+Ot[2]*Nt[2]);var Ot,Nt;return it.concat(yt)});return new fl(se,qe)}}class Xc{constructor(w,B){this.min=w,this.max=B,this.center=function(Q,ee,se){return Q[0]=.5*ee[0],Q[1]=.5*ee[1],Q[2]=.5*ee[2],Q}([],function(Q,ee,se){return Q[0]=ee[0]+se[0],Q[1]=ee[1]+se[1],Q[2]=ee[2]+se[2],Q}([],this.min,this.max))}quadrant(w){let B=[w%2==0,w<2],Q=k(this.min),ee=k(this.max);for(let se=0;se<B.length;se++)Q[se]=B[se]?this.min[se]:this.center[se],ee[se]=B[se]?this.center[se]:this.max[se];return ee[2]=this.max[2],new Xc(Q,ee)}distanceX(w){return Math.max(Math.min(this.max[0],w[0]),this.min[0])-w[0]}distanceY(w){return Math.max(Math.min(this.max[1],w[1]),this.min[1])-w[1]}intersects(w){let B=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]],Q=!0;for(let ee=0;ee<w.planes.length;ee++){let se=w.planes[ee],qe=0;for(let je=0;je<B.length;je++)a.b2(se,B[je])>=0&&qe++;if(qe===0)return 0;qe!==B.length&&(Q=!1)}if(Q)return 2;for(let ee=0;ee<3;ee++){let se=Number.MAX_VALUE,qe=-Number.MAX_VALUE;for(let je=0;je<w.points.length;je++){let it=w.points[je][ee]-this.min[ee];se=Math.min(se,it),qe=Math.max(qe,it)}if(qe<0||se>this.max[ee]-this.min[ee])return 0}return 1}}class ic{constructor(w=0,B=0,Q=0,ee=0){if(isNaN(w)||w<0||isNaN(B)||B<0||isNaN(Q)||Q<0||isNaN(ee)||ee<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=w,this.bottom=B,this.left=Q,this.right=ee}interpolate(w,B,Q){return B.top!=null&&w.top!=null&&(this.top=a.y.number(w.top,B.top,Q)),B.bottom!=null&&w.bottom!=null&&(this.bottom=a.y.number(w.bottom,B.bottom,Q)),B.left!=null&&w.left!=null&&(this.left=a.y.number(w.left,B.left,Q)),B.right!=null&&w.right!=null&&(this.right=a.y.number(w.right,B.right,Q)),this}getCenter(w,B){let Q=a.ac((this.left+w-this.right)/2,0,w),ee=a.ac((this.top+B-this.bottom)/2,0,B);return new a.P(Q,ee)}equals(w){return this.top===w.top&&this.bottom===w.bottom&&this.left===w.left&&this.right===w.right}clone(){return new ic(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let yu=85.051129;class Qs{constructor(w,B,Q,ee,se){this.tileSize=512,this._renderWorldCopies=se===void 0||!!se,this._minZoom=w||0,this._maxZoom=B||22,this._minPitch=Q==null?0:Q,this._maxPitch=ee==null?60:ee,this.setMaxBounds(),this.width=0,this.height=0,this._center=new a.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new ic,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let w=new Qs(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return w.apply(this),w}apply(w){this.tileSize=w.tileSize,this.latRange=w.latRange,this.lngRange=w.lngRange,this.width=w.width,this.height=w.height,this._center=w._center,this._elevation=w._elevation,this.minElevationForCurrentTile=w.minElevationForCurrentTile,this.zoom=w.zoom,this.angle=w.angle,this._fov=w._fov,this._pitch=w._pitch,this._unmodified=w._unmodified,this._edgeInsets=w._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(w){this._minZoom!==w&&(this._minZoom=w,this.zoom=Math.max(this.zoom,w))}get maxZoom(){return this._maxZoom}set maxZoom(w){this._maxZoom!==w&&(this._maxZoom=w,this.zoom=Math.min(this.zoom,w))}get minPitch(){return this._minPitch}set minPitch(w){this._minPitch!==w&&(this._minPitch=w,this.pitch=Math.max(this.pitch,w))}get maxPitch(){return this._maxPitch}set maxPitch(w){this._maxPitch!==w&&(this._maxPitch=w,this.pitch=Math.min(this.pitch,w))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(w){w===void 0?w=!0:w===null&&(w=!1),this._renderWorldCopies=w}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new a.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(w){let B=-a.b3(w,-180,180)*Math.PI/180;this.angle!==B&&(this._unmodified=!1,this.angle=B,this._calcMatrices(),this.rotationMatrix=function(){var Q=new a.A(4);return a.A!=Float32Array&&(Q[1]=0,Q[2]=0),Q[0]=1,Q[3]=1,Q}(),function(Q,ee,se){var qe=ee[0],je=ee[1],it=ee[2],yt=ee[3],Ot=Math.sin(se),Nt=Math.cos(se);Q[0]=qe*Nt+it*Ot,Q[1]=je*Nt+yt*Ot,Q[2]=qe*-Ot+it*Nt,Q[3]=je*-Ot+yt*Nt}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(w){let B=a.ac(w,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==B&&(this._unmodified=!1,this._pitch=B,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(w){w=Math.max(.01,Math.min(60,w)),this._fov!==w&&(this._unmodified=!1,this._fov=w/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(w){let B=Math.min(Math.max(w,this.minZoom),this.maxZoom);this._zoom!==B&&(this._unmodified=!1,this._zoom=B,this.tileZoom=Math.max(0,Math.floor(B)),this.scale=this.zoomScale(B),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(w){w.lat===this._center.lat&&w.lng===this._center.lng||(this._unmodified=!1,this._center=w,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(w){w!==this._elevation&&(this._elevation=w,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(w){this._edgeInsets.equals(w)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,w,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(w){return this._edgeInsets.equals(w)}interpolatePadding(w,B,Q){this._unmodified=!1,this._edgeInsets.interpolate(w,B,Q),this._constrain(),this._calcMatrices()}coveringZoomLevel(w){let B=(w.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/w.tileSize));return Math.max(0,B)}getVisibleUnwrappedCoordinates(w){let B=[new a.b4(0,w)];if(this._renderWorldCopies){let Q=this.pointCoordinate(new a.P(0,0)),ee=this.pointCoordinate(new a.P(this.width,0)),se=this.pointCoordinate(new a.P(this.width,this.height)),qe=this.pointCoordinate(new a.P(0,this.height)),je=Math.floor(Math.min(Q.x,ee.x,se.x,qe.x)),it=Math.floor(Math.max(Q.x,ee.x,se.x,qe.x)),yt=1;for(let Ot=je-yt;Ot<=it+yt;Ot++)Ot!==0&&B.push(new a.b4(Ot,w))}return B}coveringTiles(w){var B,Q;let ee=this.coveringZoomLevel(w),se=ee;if(w.minzoom!==void 0&&ee<w.minzoom)return[];w.maxzoom!==void 0&&ee>w.maxzoom&&(ee=w.maxzoom);let qe=this.pointCoordinate(this.getCameraPoint()),je=a.Z.fromLngLat(this.center),it=Math.pow(2,ee),yt=[it*qe.x,it*qe.y,0],Ot=[it*je.x,it*je.y,0],Nt=fl.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,ee),hr=w.minzoom||0;!w.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(hr=ee);let Sr=w.terrain?2/Math.min(this.tileSize,w.tileSize)*this.tileSize:3,he=He=>({aabb:new Xc([He*it,0,0],[(He+1)*it,it,0]),zoom:0,x:0,y:0,wrap:He,fullyVisible:!1}),be=[],Pe=[],Oe=ee,Je=w.reparseOverscaled?se:ee;if(this._renderWorldCopies)for(let He=1;He<=3;He++)be.push(he(-He)),be.push(he(He));for(be.push(he(0));be.length>0;){let He=be.pop(),et=He.x,Mt=He.y,Dt=He.fullyVisible;if(!Dt){let zr=He.aabb.intersects(Nt);if(zr===0)continue;Dt=zr===2}let Ut=w.terrain?yt:Ot,tr=He.aabb.distanceX(Ut),mr=He.aabb.distanceY(Ut),Rr=Math.max(Math.abs(tr),Math.abs(mr));if(He.zoom===Oe||Rr>Sr+(1<<Oe-He.zoom)-2&&He.zoom>=hr){let zr=Oe-He.zoom,Xr=yt[0]-.5-(et<<zr),di=yt[1]-.5-(Mt<<zr);Pe.push({tileID:new a.S(He.zoom===Oe?Je:He.zoom,He.wrap,He.zoom,et,Mt),distanceSq:_([Ot[0]-.5-et,Ot[1]-.5-Mt]),tileDistanceToCamera:Math.sqrt(Xr*Xr+di*di)})}else for(let zr=0;zr<4;zr++){let Xr=(et<<1)+zr%2,di=(Mt<<1)+(zr>>1),Li=He.zoom+1,Ci=He.aabb.quadrant(zr);if(w.terrain){let Qi=new a.S(Li,He.wrap,Li,Xr,di),Mn=w.terrain.getMinMaxElevation(Qi),pa=(B=Mn.minElevation)!==null&&B!==void 0?B:this.elevation,ea=(Q=Mn.maxElevation)!==null&&Q!==void 0?Q:this.elevation;Ci=new Xc([Ci.min[0],Ci.min[1],pa],[Ci.max[0],Ci.max[1],ea])}be.push({aabb:Ci,zoom:Li,x:Xr,y:di,wrap:He.wrap,fullyVisible:Dt})}}return Pe.sort((He,et)=>He.distanceSq-et.distanceSq).map(He=>He.tileID)}resize(w,B){this.width=w,this.height=B,this.pixelsToGLUnits=[2/w,-2/B],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(w){return Math.pow(2,w)}scaleZoom(w){return Math.log(w)/Math.LN2}project(w){let B=a.ac(w.lat,-85.051129,yu);return new a.P(a.O(w.lng)*this.worldSize,a.Q(B)*this.worldSize)}unproject(w){return new a.Z(w.x/this.worldSize,w.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(w){let B=this.elevation,Q=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,ee=this.pointLocation(this.centerPoint,w),se=w.getElevationForLngLatZoom(ee,this.tileZoom);if(!(this.elevation-se))return;let qe=Q+B-se,je=Math.cos(this._pitch)*this.cameraToCenterDistance/qe/a.b5(1,ee.lat),it=this.scaleZoom(je/this.tileSize);this._elevation=se,this._center=ee,this.zoom=it}setLocationAtPoint(w,B){let Q=this.pointCoordinate(B),ee=this.pointCoordinate(this.centerPoint),se=this.locationCoordinate(w),qe=new a.Z(se.x-(Q.x-ee.x),se.y-(Q.y-ee.y));this.center=this.coordinateLocation(qe),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(w,B){return B?this.coordinatePoint(this.locationCoordinate(w),B.getElevationForLngLatZoom(w,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(w))}pointLocation(w,B){return this.coordinateLocation(this.pointCoordinate(w,B))}locationCoordinate(w){return a.Z.fromLngLat(w)}coordinateLocation(w){return w&&w.toLngLat()}pointCoordinate(w,B){if(B){let hr=B.pointCoordinate(w);if(hr!=null)return hr}let Q=[w.x,w.y,0,1],ee=[w.x,w.y,1,1];a.af(Q,Q,this.pixelMatrixInverse),a.af(ee,ee,this.pixelMatrixInverse);let se=Q[3],qe=ee[3],je=Q[1]/se,it=ee[1]/qe,yt=Q[2]/se,Ot=ee[2]/qe,Nt=yt===Ot?0:(0-yt)/(Ot-yt);return new a.Z(a.y.number(Q[0]/se,ee[0]/qe,Nt)/this.worldSize,a.y.number(je,it,Nt)/this.worldSize)}coordinatePoint(w,B=0,Q=this.pixelMatrix){let ee=[w.x*this.worldSize,w.y*this.worldSize,B,1];return a.af(ee,ee,Q),new a.P(ee[0]/ee[3],ee[1]/ee[3])}getBounds(){let w=Math.max(0,this.height/2-this.getHorizon());return new ce().extend(this.pointLocation(new a.P(0,w))).extend(this.pointLocation(new a.P(this.width,w))).extend(this.pointLocation(new a.P(this.width,this.height))).extend(this.pointLocation(new a.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new ce([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(w){w?(this.lngRange=[w.getWest(),w.getEast()],this.latRange=[w.getSouth(),w.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,yu])}calculateTileMatrix(w){let B=w.canonical,Q=this.worldSize/this.zoomScale(B.z),ee=B.x+Math.pow(2,B.z)*w.wrap,se=a.an(new Float64Array(16));return a.J(se,se,[ee*Q,B.y*Q,0]),a.K(se,se,[Q/a.X,Q/a.X,1]),se}calculatePosMatrix(w,B=!1){let Q=w.key,ee=B?this._alignedPosMatrixCache:this._posMatrixCache;if(ee[Q])return ee[Q];let se=this.calculateTileMatrix(w);return a.L(se,B?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,se),ee[Q]=new Float32Array(se),ee[Q]}calculateFogMatrix(w){let B=w.key,Q=this._fogMatrixCache;if(Q[B])return Q[B];let ee=this.calculateTileMatrix(w);return a.L(ee,this.fogMatrix,ee),Q[B]=new Float32Array(ee),Q[B]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(w,B){B=a.ac(+B,this.minZoom,this.maxZoom);let Q={center:new a.N(w.lng,w.lat),zoom:B},ee=this.lngRange;if(!this._renderWorldCopies&&ee===null){let He=179.9999999999;ee=[-He,He]}let se=this.tileSize*this.zoomScale(Q.zoom),qe=0,je=se,it=0,yt=se,Ot=0,Nt=0,{x:hr,y:Sr}=this.size;if(this.latRange){let He=this.latRange;qe=a.Q(He[1])*se,je=a.Q(He[0])*se,je-qe<Sr&&(Ot=Sr/(je-qe))}ee&&(it=a.b3(a.O(ee[0])*se,0,se),yt=a.b3(a.O(ee[1])*se,0,se),yt<it&&(yt+=se),yt-it<hr&&(Nt=hr/(yt-it)));let{x:he,y:be}=this.project.call({worldSize:se},w),Pe,Oe,Je=Math.max(Nt||0,Ot||0);if(Je){let He=new a.P(Nt?(yt+it)/2:he,Ot?(je+qe)/2:be);return Q.center=this.unproject.call({worldSize:se},He).wrap(),Q.zoom+=this.scaleZoom(Je),Q}if(this.latRange){let He=Sr/2;be-He<qe&&(Oe=qe+He),be+He>je&&(Oe=je-He)}if(ee){let He=(it+yt)/2,et=he;this._renderWorldCopies&&(et=a.b3(he,He-se/2,He+se/2));let Mt=hr/2;et-Mt<it&&(Pe=it+Mt),et+Mt>yt&&(Pe=yt-Mt)}if(Pe!==void 0||Oe!==void 0){let He=new a.P(Pe!=null?Pe:he,Oe!=null?Oe:be);Q.center=this.unproject.call({worldSize:se},He).wrap()}return Q}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let w=this._unmodified,{center:B,zoom:Q}=this.getConstrained(this.center,this.zoom);this.center=B,this.zoom=Q,this._unmodified=w,this._constraining=!1}_calcMatrices(){if(!this.height)return;let w=this.centerOffset,B=this.point.x,Q=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=a.b5(1,this.center.lat)*this.worldSize;let ee=a.an(new Float64Array(16));a.K(ee,ee,[this.width/2,-this.height/2,1]),a.J(ee,ee,[1,-1,0]),this.labelPlaneMatrix=ee,ee=a.an(new Float64Array(16)),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[-1,-1,0]),a.K(ee,ee,[2/this.width,2/this.height,1]),this.glCoordMatrix=ee;let se=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),qe=Math.min(this.elevation,this.minElevationForCurrentTile),je=se-qe*this._pixelPerMeter/Math.cos(this._pitch),it=qe<0?je:se,yt=Math.PI/2+this._pitch,Ot=this._fov*(.5+w.y/this.height),Nt=Math.sin(Ot)*it/Math.sin(a.ac(Math.PI-yt-Ot,.01,Math.PI-.01)),hr=this.getHorizon(),Sr=2*Math.atan(hr/this.cameraToCenterDistance)*(.5+w.y/(2*hr)),he=Math.sin(Sr)*it/Math.sin(a.ac(Math.PI-yt-Sr,.01,Math.PI-.01)),be=Math.min(Nt,he);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*be+it),this.nearZ=this.height/50,ee=new Float64Array(16),a.b6(ee,this._fov,this.width/this.height,this.nearZ,this.farZ),ee[8]=2*-w.x/this.width,ee[9]=2*w.y/this.height,this.projectionMatrix=a.ae(ee),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[0,0,-this.cameraToCenterDistance]),a.b7(ee,ee,this._pitch),a.ad(ee,ee,this.angle),a.J(ee,ee,[-B,-Q,0]),this.mercatorMatrix=a.K([],ee,[this.worldSize,this.worldSize,this.worldSize]),a.K(ee,ee,[1,1,this._pixelPerMeter]),this.pixelMatrix=a.L(new Float64Array(16),this.labelPlaneMatrix,ee),a.J(ee,ee,[0,0,-this.elevation]),this.modelViewProjectionMatrix=ee,this.invModelViewProjectionMatrix=a.as([],ee),this.fogMatrix=new Float64Array(16),a.b6(this.fogMatrix,this._fov,this.width/this.height,se,this.farZ),this.fogMatrix[8]=2*-w.x/this.width,this.fogMatrix[9]=2*w.y/this.height,a.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),a.b7(this.fogMatrix,this.fogMatrix,this._pitch),a.ad(this.fogMatrix,this.fogMatrix,this.angle),a.J(this.fogMatrix,this.fogMatrix,[-B,-Q,0]),a.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=a.L(new Float64Array(16),this.labelPlaneMatrix,ee);let Pe=this.width%2/2,Oe=this.height%2/2,Je=Math.cos(this.angle),He=Math.sin(this.angle),et=B-Math.round(B)+Je*Pe+He*Oe,Mt=Q-Math.round(Q)+Je*Oe+He*Pe,Dt=new Float64Array(ee);if(a.J(Dt,Dt,[et>.5?et-1:et,Mt>.5?Mt-1:Mt,0]),this.alignedModelViewProjectionMatrix=Dt,ee=a.as(new Float64Array(16),this.pixelMatrix),!ee)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=ee,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let w=this.pointCoordinate(new a.P(0,0)),B=[w.x*this.worldSize,w.y*this.worldSize,0,1];return a.af(B,B,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let w=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new a.P(0,w))}getCameraQueryGeometry(w){let B=this.getCameraPoint();if(w.length===1)return[w[0],B];{let Q=B.x,ee=B.y,se=B.x,qe=B.y;for(let je of w)Q=Math.min(Q,je.x),ee=Math.min(ee,je.y),se=Math.max(se,je.x),qe=Math.max(qe,je.y);return[new a.P(Q,ee),new a.P(se,ee),new a.P(se,qe),new a.P(Q,qe),new a.P(Q,ee)]}}lngLatToCameraDepth(w,B){let Q=this.locationCoordinate(w),ee=[Q.x*this.worldSize,Q.y*this.worldSize,B,1];return a.af(ee,ee,this.modelViewProjectionMatrix),ee[2]/ee[3]}}function Qh(le,w){let B,Q=!1,ee=null,se=null,qe=()=>{ee=null,Q&&(le.apply(se,B),ee=setTimeout(qe,w),Q=!1)};return(...je)=>(Q=!0,se=this,B=je,ee||qe(),ee)}class gd{constructor(w){this._getCurrentHash=()=>{let B=window.location.hash.replace(\"#\",\"\");if(this._hashName){let Q;return B.split(\"&\").map(ee=>ee.split(\"=\")).forEach(ee=>{ee[0]===this._hashName&&(Q=ee)}),(Q&&Q[1]||\"\").split(\"/\")}return B.split(\"/\")},this._onHashChange=()=>{let B=this._getCurrentHash();if(B.length>=3&&!B.some(Q=>isNaN(Q))){let Q=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(B[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+B[2],+B[1]],zoom:+B[0],bearing:Q,pitch:+(B[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let B=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,B)},this._removeHash=()=>{let B=this._getCurrentHash();if(B.length===0)return;let Q=B.join(\"/\"),ee=Q;ee.split(\"&\").length>0&&(ee=ee.split(\"&\")[0]),this._hashName&&(ee=`${this._hashName}=${Q}`);let se=window.location.hash.replace(ee,\"\");se.startsWith(\"#&\")?se=se.slice(0,1)+se.slice(2):se===\"#\"&&(se=\"\");let qe=window.location.href.replace(/(#.+)?$/,se);qe=qe.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,qe)},this._updateHash=Qh(this._updateHashUnthrottled,300),this._hashName=w&&encodeURIComponent(w)}addTo(w){return this._map=w,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(w){let B=this._map.getCenter(),Q=Math.round(100*this._map.getZoom())/100,ee=Math.ceil((Q*Math.LN2+Math.log(512/360/.5))/Math.LN10),se=Math.pow(10,ee),qe=Math.round(B.lng*se)/se,je=Math.round(B.lat*se)/se,it=this._map.getBearing(),yt=this._map.getPitch(),Ot=\"\";if(Ot+=w?`/${qe}/${je}/${Q}`:`${Q}/${je}/${qe}`,(it||yt)&&(Ot+=\"/\"+Math.round(10*it)/10),yt&&(Ot+=`/${Math.round(yt)}`),this._hashName){let Nt=this._hashName,hr=!1,Sr=window.location.hash.slice(1).split(\"&\").map(he=>{let be=he.split(\"=\")[0];return be===Nt?(hr=!0,`${be}=${Ot}`):he}).filter(he=>he);return hr||Sr.push(`${Nt}=${Ot}`),`#${Sr.join(\"&\")}`}return`#${Ot}`}}let Gu={linearity:.3,easing:a.b8(0,0,.3,1)},Pc=a.e({deceleration:2500,maxSpeed:1400},Gu),vc=a.e({deceleration:20,maxSpeed:1400},Gu),sv=a.e({deceleration:1e3,maxSpeed:360},Gu),Lf=a.e({deceleration:1e3,maxSpeed:90},Gu);class Uf{constructor(w){this._map=w,this.clear()}clear(){this._inertiaBuffer=[]}record(w){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:u.now(),settings:w})}_drainInertiaBuffer(){let w=this._inertiaBuffer,B=u.now();for(;w.length>0&&B-w[0].time>160;)w.shift()}_onMoveEnd(w){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let B={zoom:0,bearing:0,pitch:0,pan:new a.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:se}of this._inertiaBuffer)B.zoom+=se.zoomDelta||0,B.bearing+=se.bearingDelta||0,B.pitch+=se.pitchDelta||0,se.panDelta&&B.pan._add(se.panDelta),se.around&&(B.around=se.around),se.pinchAround&&(B.pinchAround=se.pinchAround);let Q=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,ee={};if(B.pan.mag()){let se=oh(B.pan.mag(),Q,a.e({},Pc,w||{}));ee.offset=B.pan.mult(se.amount/B.pan.mag()),ee.center=this._map.transform.center,Iu(ee,se)}if(B.zoom){let se=oh(B.zoom,Q,vc);ee.zoom=this._map.transform.zoom+se.amount,Iu(ee,se)}if(B.bearing){let se=oh(B.bearing,Q,sv);ee.bearing=this._map.transform.bearing+a.ac(se.amount,-179,179),Iu(ee,se)}if(B.pitch){let se=oh(B.pitch,Q,Lf);ee.pitch=this._map.transform.pitch+se.amount,Iu(ee,se)}if(ee.zoom||ee.bearing){let se=B.pinchAround===void 0?B.around:B.pinchAround;ee.around=se?this._map.unproject(se):this._map.getCenter()}return this.clear(),a.e(ee,{noMoveStart:!0})}}function Iu(le,w){(!le.duration||le.duration<w.duration)&&(le.duration=w.duration,le.easing=w.easing)}function oh(le,w,B){let{maxSpeed:Q,linearity:ee,deceleration:se}=B,qe=a.ac(le*ee/(w/1e3),-Q,Q),je=Math.abs(qe)/(se*ee);return{easing:B.easing,duration:1e3*je,amount:qe*(je/2)}}class tu extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q,ee={}){let se=c.mousePos(B.getCanvas(),Q),qe=B.unproject(se);super(w,a.e({point:se,lngLat:qe,originalEvent:Q},ee)),this._defaultPrevented=!1,this.target=B}}class vf extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){let ee=w===\"touchend\"?Q.changedTouches:Q.touches,se=c.touchPos(B.getCanvasContainer(),ee),qe=se.map(it=>B.unproject(it)),je=se.reduce((it,yt,Ot,Nt)=>it.add(yt.div(Nt.length)),new a.P(0,0));super(w,{points:se,point:je,lngLats:qe,lngLat:B.unproject(je),originalEvent:Q}),this._defaultPrevented=!1}}class md extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){super(w,{originalEvent:Q}),this._defaultPrevented=!1}}class sh{constructor(w,B){this._map=w,this._clickTolerance=B.clickTolerance}reset(){delete this._mousedownPos}wheel(w){return this._firePreventable(new md(w.type,this._map,w))}mousedown(w,B){return this._mousedownPos=B,this._firePreventable(new tu(w.type,this._map,w))}mouseup(w){this._map.fire(new tu(w.type,this._map,w))}click(w,B){this._mousedownPos&&this._mousedownPos.dist(B)>=this._clickTolerance||this._map.fire(new tu(w.type,this._map,w))}dblclick(w){return this._firePreventable(new tu(w.type,this._map,w))}mouseover(w){this._map.fire(new tu(w.type,this._map,w))}mouseout(w){this._map.fire(new tu(w.type,this._map,w))}touchstart(w){return this._firePreventable(new vf(w.type,this._map,w))}touchmove(w){this._map.fire(new vf(w.type,this._map,w))}touchend(w){this._map.fire(new vf(w.type,this._map,w))}touchcancel(w){this._map.fire(new vf(w.type,this._map,w))}_firePreventable(w){if(this._map.fire(w),w.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Fs{constructor(w){this._map=w}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(w){this._map.fire(new tu(w.type,this._map,w))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new tu(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(w){this._delayContextMenu?this._contextMenuEvent=w:this._ignoreContextMenu||this._map.fire(new tu(w.type,this._map,w)),this._map.listens(\"contextmenu\")&&w.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class _u{constructor(w){this._map=w}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(w){return this.transform.pointLocation(a.P.convert(w),this._map.terrain)}}class xu{constructor(w,B){this._map=w,this._tr=new _u(w),this._el=w.getCanvasContainer(),this._container=w.getContainer(),this._clickTolerance=B.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(w,B){this.isEnabled()&&w.shiftKey&&w.button===0&&(c.disableDrag(),this._startPos=this._lastPos=B,this._active=!0)}mousemoveWindow(w,B){if(!this._active)return;let Q=B;if(this._lastPos.equals(Q)||!this._box&&Q.dist(this._startPos)<this._clickTolerance)return;let ee=this._startPos;this._lastPos=Q,this._box||(this._box=c.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",w));let se=Math.min(ee.x,Q.x),qe=Math.max(ee.x,Q.x),je=Math.min(ee.y,Q.y),it=Math.max(ee.y,Q.y);c.setTransform(this._box,`translate(${se}px,${je}px)`),this._box.style.width=qe-se+\"px\",this._box.style.height=it-je+\"px\"}mouseupWindow(w,B){if(!this._active||w.button!==0)return;let Q=this._startPos,ee=B;if(this.reset(),c.suppressClick(),Q.x!==ee.x||Q.y!==ee.y)return this._map.fire(new a.k(\"boxzoomend\",{originalEvent:w})),{cameraAnimation:se=>se.fitScreenCoordinates(Q,ee,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",w)}keydown(w){this._active&&w.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",w))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(c.remove(this._box),this._box=null),c.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(w,B){return this._map.fire(new a.k(w,{originalEvent:B}))}}function Lh(le,w){if(le.length!==w.length)throw new Error(`The number of touches and points are not equal - touches ${le.length}, points ${w.length}`);let B={};for(let Q=0;Q<le.length;Q++)B[le[Q].identifier]=w[Q];return B}class Is{constructor(w){this.reset(),this.numTouches=w.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(w,B,Q){(this.centroid||Q.length>this.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=w.timeStamp),Q.length===this.numTouches&&(this.centroid=function(ee){let se=new a.P(0,0);for(let qe of ee)se._add(qe);return se.div(ee.length)}(B),this.touches=Lh(Q,B)))}touchmove(w,B,Q){if(this.aborted||!this.centroid)return;let ee=Lh(Q,B);for(let se in this.touches){let qe=ee[se];(!qe||qe.dist(this.touches[se])>30)&&(this.aborted=!0)}}touchend(w,B,Q){if((!this.centroid||w.timeStamp-this.startTime>500)&&(this.aborted=!0),Q.length===0){let ee=!this.aborted&&this.centroid;if(this.reset(),ee)return ee}}}class Pf{constructor(w){this.singleTap=new Is(w),this.numTaps=w.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(w,B,Q){this.singleTap.touchstart(w,B,Q)}touchmove(w,B,Q){this.singleTap.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this.singleTap.touchend(w,B,Q);if(ee){let se=w.timeStamp-this.lastTime<500,qe=!this.lastTap||this.lastTap.dist(ee)<30;if(se&&qe||this.reset(),this.count++,this.lastTime=w.timeStamp,this.lastTap=ee,this.count===this.numTaps)return this.reset(),ee}}}class Ic{constructor(w){this._tr=new _u(w),this._zoomIn=new Pf({numTouches:1,numTaps:2}),this._zoomOut=new Pf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(w,B,Q){this._zoomIn.touchstart(w,B,Q),this._zoomOut.touchstart(w,B,Q)}touchmove(w,B,Q){this._zoomIn.touchmove(w,B,Q),this._zoomOut.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this._zoomIn.touchend(w,B,Q),se=this._zoomOut.touchend(w,B,Q),qe=this._tr;return ee?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:je=>je.easeTo({duration:300,zoom:qe.zoom+1,around:qe.unproject(ee)},{originalEvent:w})}):se?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:je=>je.easeTo({duration:300,zoom:qe.zoom-1,around:qe.unproject(se)},{originalEvent:w})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ju{constructor(w){this._enabled=!!w.enable,this._moveStateManager=w.moveStateManager,this._clickTolerance=w.clickTolerance||1,this._moveFunction=w.move,this._activateOnStart=!!w.activateOnStart,w.assignEvents(this),this.reset()}reset(w){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(w)}_move(...w){let B=this._moveFunction(...w);if(B.bearingDelta||B.pitchDelta||B.around||B.panDelta)return this._active=!0,B}dragStart(w,B){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(w)&&(this._moveStateManager.startMove(w),this._lastPoint=B.length?B[0]:B,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(w,B){if(!this.isEnabled())return;let Q=this._lastPoint;if(!Q)return;if(w.preventDefault(),!this._moveStateManager.isValidMoveEvent(w))return void this.reset(w);let ee=B.length?B[0]:B;return!this._moved&&ee.dist(Q)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=ee,this._move(Q,ee))}dragEnd(w){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(w)&&(this._moved&&c.suppressClick(),this.reset(w))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}let Vf={0:1,2:2};class pc{constructor(w){this._correctEvent=w.checkCorrectEvent}startMove(w){let B=c.mouseButton(w);this._eventButton=B}endMove(w){delete this._eventButton}isValidStartEvent(w){return this._correctEvent(w)}isValidMoveEvent(w){return!function(B,Q){let ee=Vf[Q];return B.buttons===void 0||(B.buttons&ee)!==ee}(w,this._eventButton)}isValidEndEvent(w){return c.mouseButton(w)===this._eventButton}}class pf{constructor(){this._firstTouch=void 0}_isOneFingerTouch(w){return w.targetTouches.length===1}_isSameTouchEvent(w){return w.targetTouches[0].identifier===this._firstTouch}startMove(w){this._firstTouch=w.targetTouches[0].identifier}endMove(w){delete this._firstTouch}isValidStartEvent(w){return this._isOneFingerTouch(w)}isValidMoveEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}isValidEndEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}}let Ph=le=>{le.mousedown=le.dragStart,le.mousemoveWindow=le.dragMove,le.mouseup=le.dragEnd,le.contextmenu=w=>{w.preventDefault()}},Rl=({enable:le,clickTolerance:w,bearingDegreesPerPixelMoved:B=.8})=>{let Q=new pc({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new ju({clickTolerance:w,move:(ee,se)=>({bearingDelta:(se.x-ee.x)*B}),moveStateManager:Q,enable:le,assignEvents:Ph})},Ih=({enable:le,clickTolerance:w,pitchDegreesPerPixelMoved:B=-.5})=>{let Q=new pc({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new ju({clickTolerance:w,move:(ee,se)=>({pitchDelta:(se.y-ee.y)*B}),moveStateManager:Q,enable:le,assignEvents:Ph})};class Wu{constructor(w,B){this._clickTolerance=w.clickTolerance||1,this._map=B,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new a.P(0,0)}_shouldBePrevented(w){return w<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(w,B,Q){return this._calculateTransform(w,B,Q)}touchmove(w,B,Q){if(this._active){if(!this._shouldBePrevented(Q.length))return w.preventDefault(),this._calculateTransform(w,B,Q);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",w)}}touchend(w,B,Q){this._calculateTransform(w,B,Q),this._active&&this._shouldBePrevented(Q.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(w,B,Q){Q.length>0&&(this._active=!0);let ee=Lh(Q,B),se=new a.P(0,0),qe=new a.P(0,0),je=0;for(let yt in ee){let Ot=ee[yt],Nt=this._touches[yt];Nt&&(se._add(Ot),qe._add(Ot.sub(Nt)),je++,ee[yt]=Ot)}if(this._touches=ee,this._shouldBePrevented(je)||!qe.mag())return;let it=qe.div(je);return this._sum._add(it),this._sum.mag()<this._clickTolerance?void 0:{around:se.div(je),panDelta:it}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Rc{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(w,B,Q){this._firstTwoTouches||Q.length<2||(this._firstTwoTouches=[Q[0].identifier,Q[1].identifier],this._start([B[0],B[1]]))}touchmove(w,B,Q){if(!this._firstTwoTouches)return;w.preventDefault();let[ee,se]=this._firstTwoTouches,qe=gc(Q,B,ee),je=gc(Q,B,se);if(!qe||!je)return;let it=this._aroundCenter?null:qe.add(je).div(2);return this._move([qe,je],it,w)}touchend(w,B,Q){if(!this._firstTwoTouches)return;let[ee,se]=this._firstTwoTouches,qe=gc(Q,B,ee),je=gc(Q,B,se);qe&&je||(this._active&&c.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(w){this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\"}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function gc(le,w,B){for(let Q=0;Q<le.length;Q++)if(le[Q].identifier===B)return w[Q]}function hl(le,w){return Math.log(le/w)/Math.LN2}class ru extends Rc{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(w){this._startDistance=this._distance=w[0].dist(w[1])}_move(w,B){let Q=this._distance;if(this._distance=w[0].dist(w[1]),this._active||!(Math.abs(hl(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:hl(this._distance,Q),pinchAround:B}}}function mc(le,w){return 180*le.angleWith(w)/Math.PI}class Yc extends Rc{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(w){this._startVector=this._vector=w[0].sub(w[1]),this._minDiameter=w[0].dist(w[1])}_move(w,B,Q){let ee=this._vector;if(this._vector=w[0].sub(w[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:mc(this._vector,ee),pinchAround:B}}_isBelowThreshold(w){this._minDiameter=Math.min(this._minDiameter,w.mag());let B=25/(Math.PI*this._minDiameter)*360,Q=mc(w,this._startVector);return Math.abs(Q)<B}}function nc(le){return Math.abs(le.y)>Math.abs(le.x)}class gf extends Rc{constructor(w){super(),this._currentTouchCount=0,this._map=w}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(w,B,Q){super.touchstart(w,B,Q),this._currentTouchCount=Q.length}_start(w){this._lastPoints=w,nc(w[0].sub(w[1]))&&(this._valid=!1)}_move(w,B,Q){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let ee=w[0].sub(this._lastPoints[0]),se=w[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(ee,se,Q.timeStamp),this._valid?(this._lastPoints=w,this._active=!0,{pitchDelta:(ee.y+se.y)/2*-.5}):void 0}gestureBeginsVertically(w,B,Q){if(this._valid!==void 0)return this._valid;let ee=w.mag()>=2,se=B.mag()>=2;if(!ee&&!se)return;if(!ee||!se)return this._firstMove===void 0&&(this._firstMove=Q),Q-this._firstMove<100&&void 0;let qe=w.y>0==B.y>0;return nc(w)&&nc(B)&&qe}}let gt={panStep:100,bearingStep:15,pitchStep:10};class Bt{constructor(w){this._tr=new _u(w);let B=gt;this._panStep=B.panStep,this._bearingStep=B.bearingStep,this._pitchStep=B.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(w){if(w.altKey||w.ctrlKey||w.metaKey)return;let B=0,Q=0,ee=0,se=0,qe=0;switch(w.keyCode){case 61:case 107:case 171:case 187:B=1;break;case 189:case 109:case 173:B=-1;break;case 37:w.shiftKey?Q=-1:(w.preventDefault(),se=-1);break;case 39:w.shiftKey?Q=1:(w.preventDefault(),se=1);break;case 38:w.shiftKey?ee=1:(w.preventDefault(),qe=-1);break;case 40:w.shiftKey?ee=-1:(w.preventDefault(),qe=1);break;default:return}return this._rotationDisabled&&(Q=0,ee=0),{cameraAnimation:je=>{let it=this._tr;je.easeTo({duration:300,easeId:\"keyboardHandler\",easing:wr,zoom:B?Math.round(it.zoom)+B*(w.shiftKey?2:1):it.zoom,bearing:it.bearing+Q*this._bearingStep,pitch:it.pitch+ee*this._pitchStep,offset:[-se*this._panStep,-qe*this._panStep],center:it.center},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function wr(le){return le*(2-le)}let vr=4.000244140625;class Ur{constructor(w,B){this._onTimeout=Q=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Q)},this._map=w,this._tr=new _u(w),this._triggerRenderFrame=B,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(w){this._defaultZoomRate=w}setWheelZoomRate(w){this._wheelZoomRate=w}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(w){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(w){return!!this._map.cooperativeGestures.isEnabled()&&!(w.ctrlKey||this._map.cooperativeGestures.isBypassed(w))}wheel(w){if(!this.isEnabled())return;if(this._shouldBePrevented(w))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",w);let B=w.deltaMode===WheelEvent.DOM_DELTA_LINE?40*w.deltaY:w.deltaY,Q=u.now(),ee=Q-(this._lastWheelEventTime||0);this._lastWheelEventTime=Q,B!==0&&B%vr==0?this._type=\"wheel\":B!==0&&Math.abs(B)<4?this._type=\"trackpad\":ee>400?(this._type=null,this._lastValue=B,this._timeout=setTimeout(this._onTimeout,40,w)):this._type||(this._type=Math.abs(ee*B)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,B+=this._lastValue)),w.shiftKey&&B&&(B/=4),this._type&&(this._lastWheelEvent=w,this._delta-=B,this._active||this._start(w)),w.preventDefault()}_start(w){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);let B=c.mousePos(this._map.getCanvas(),w),Q=this._tr;this._around=B.y>Q.transform.height/2-Q.transform.getHorizon()?a.N.convert(this._aroundCenter?Q.center:Q.unproject(B)):a.N.convert(Q.center),this._aroundPoint=Q.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let w=this._tr.transform;if(this._delta!==0){let it=this._type===\"wheel\"&&Math.abs(this._delta)>vr?this._wheelZoomRate:this._defaultZoomRate,yt=2/(1+Math.exp(-Math.abs(this._delta*it)));this._delta<0&&yt!==0&&(yt=1/yt);let Ot=typeof this._targetZoom==\"number\"?w.zoomScale(this._targetZoom):w.scale;this._targetZoom=Math.min(w.maxZoom,Math.max(w.minZoom,w.scaleZoom(Ot*yt))),this._type===\"wheel\"&&(this._startZoom=w.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let B=typeof this._targetZoom==\"number\"?this._targetZoom:w.zoom,Q=this._startZoom,ee=this._easing,se,qe=!1,je=u.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&Q&&ee&&je){let it=Math.min(je/200,1),yt=ee(it);se=a.y.number(Q,B,yt),it<1?this._frameId||(this._frameId=!0):qe=!0}else se=B,qe=!0;return this._active=!0,qe&&(this._active=!1,this._finishTimeout=setTimeout(()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!qe,zoomDelta:se-w.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(w){let B=a.b9;if(this._prevEase){let Q=this._prevEase,ee=(u.now()-Q.start)/Q.duration,se=Q.easing(ee+.01)-Q.easing(ee),qe=.27/Math.sqrt(se*se+1e-4)*.01,je=Math.sqrt(.0729-qe*qe);B=a.b8(qe,je,.25,1)}return this._prevEase={start:u.now(),duration:w,easing:B},B}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class fi{constructor(w,B){this._clickZoom=w,this._tapZoom=B}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class xi{constructor(w){this._tr=new _u(w),this.reset()}reset(){this._active=!1}dblclick(w,B){return w.preventDefault(),{cameraAnimation:Q=>{Q.easeTo({duration:300,zoom:this._tr.zoom+(w.shiftKey?-1:1),around:this._tr.unproject(B)},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Fi{constructor(){this._tap=new Pf({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(w,B,Q){if(!this._swipePoint)if(this._tapTime){let ee=B[0],se=w.timeStamp-this._tapTime<500,qe=this._tapPoint.dist(ee)<30;se&&qe?Q.length>0&&(this._swipePoint=ee,this._swipeTouch=Q[0].identifier):this.reset()}else this._tap.touchstart(w,B,Q)}touchmove(w,B,Q){if(this._tapTime){if(this._swipePoint){if(Q[0].identifier!==this._swipeTouch)return;let ee=B[0],se=ee.y-this._swipePoint.y;return this._swipePoint=ee,w.preventDefault(),this._active=!0,{zoomDelta:se/128}}}else this._tap.touchmove(w,B,Q)}touchend(w,B,Q){if(this._tapTime)this._swipePoint&&Q.length===0&&this.reset();else{let ee=this._tap.touchend(w,B,Q);ee&&(this._tapTime=w.timeStamp,this._tapPoint=ee)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Xi{constructor(w,B,Q){this._el=w,this._mousePan=B,this._touchPan=Q}enable(w){this._inertiaOptions=w||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class hn{constructor(w,B,Q){this._pitchWithRotate=w.pitchWithRotate,this._mouseRotate=B,this._mousePitch=Q}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class Ti{constructor(w,B,Q,ee){this._el=w,this._touchZoom=B,this._touchRotate=Q,this._tapDragZoom=ee,this._rotationDisabled=!1,this._enabled=!0}enable(w){this._touchZoom.enable(w),this._rotationDisabled||this._touchRotate.enable(w),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class qi{constructor(w,B){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=w,this._options=B,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let w=this._map.getCanvasContainer();w.classList.add(\"maplibregl-cooperative-gestures\"),this._container=c.create(\"div\",\"maplibregl-cooperative-gesture-screen\",w);let B=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(B=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let Q=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),ee=document.createElement(\"div\");ee.className=\"maplibregl-desktop-message\",ee.textContent=B,this._container.appendChild(ee);let se=document.createElement(\"div\");se.className=\"maplibregl-mobile-message\",se.textContent=Q,this._container.appendChild(se),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(c.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(w){return w[this._bypassKey]}notifyGestureBlocked(w,B){this._enabled&&(this._map.fire(new a.k(\"cooperativegestureprevented\",{gestureType:w,originalEvent:B})),this._container.classList.add(\"maplibregl-show\"),setTimeout(()=>{this._container.classList.remove(\"maplibregl-show\")},100))}}let Ii=le=>le.zoom||le.drag||le.pitch||le.rotate;class mi extends a.k{}function Pn(le){return le.panDelta&&le.panDelta.mag()||le.zoomDelta||le.bearingDelta||le.pitchDelta}class Ma{constructor(w,B){this.handleWindowEvent=ee=>{this.handleEvent(ee,`${ee.type}Window`)},this.handleEvent=(ee,se)=>{if(ee.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let qe=ee.type===\"renderFrame\"?void 0:ee,je={needsRenderFrame:!1},it={},yt={},Ot=ee.touches,Nt=Ot?this._getMapTouches(Ot):void 0,hr=Nt?c.touchPos(this._map.getCanvas(),Nt):c.mousePos(this._map.getCanvas(),ee);for(let{handlerName:be,handler:Pe,allowed:Oe}of this._handlers){if(!Pe.isEnabled())continue;let Je;this._blockedByActive(yt,Oe,be)?Pe.reset():Pe[se||ee.type]&&(Je=Pe[se||ee.type](ee,hr,Nt),this.mergeHandlerResult(je,it,Je,be,qe),Je&&Je.needsRenderFrame&&this._triggerRenderFrame()),(Je||Pe.isActive())&&(yt[be]=Pe)}let Sr={};for(let be in this._previousActiveHandlers)yt[be]||(Sr[be]=qe);this._previousActiveHandlers=yt,(Object.keys(Sr).length||Pn(je))&&(this._changes.push([je,it,Sr]),this._triggerRenderFrame()),(Object.keys(yt).length||Pn(je))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:he}=je;he&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],he(this._map))},this._map=w,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Uf(w),this._bearingSnap=B.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(B);let Q=this._el;this._listeners=[[Q,\"touchstart\",{passive:!0}],[Q,\"touchmove\",{passive:!1}],[Q,\"touchend\",void 0],[Q,\"touchcancel\",void 0],[Q,\"mousedown\",void 0],[Q,\"mousemove\",void 0],[Q,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[Q,\"mouseover\",void 0],[Q,\"mouseout\",void 0],[Q,\"dblclick\",void 0],[Q,\"click\",void 0],[Q,\"keydown\",{capture:!1}],[Q,\"keyup\",void 0],[Q,\"wheel\",{passive:!1}],[Q,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[ee,se,qe]of this._listeners)c.addEventListener(ee,se,ee===document?this.handleWindowEvent:this.handleEvent,qe)}destroy(){for(let[w,B,Q]of this._listeners)c.removeEventListener(w,B,w===document?this.handleWindowEvent:this.handleEvent,Q)}_addDefaultHandlers(w){let B=this._map,Q=B.getCanvasContainer();this._add(\"mapEvent\",new sh(B,w));let ee=B.boxZoom=new xu(B,w);this._add(\"boxZoom\",ee),w.interactive&&w.boxZoom&&ee.enable();let se=B.cooperativeGestures=new qi(B,w.cooperativeGestures);this._add(\"cooperativeGestures\",se),w.cooperativeGestures&&se.enable();let qe=new Ic(B),je=new xi(B);B.doubleClickZoom=new fi(je,qe),this._add(\"tapZoom\",qe),this._add(\"clickZoom\",je),w.interactive&&w.doubleClickZoom&&B.doubleClickZoom.enable();let it=new Fi;this._add(\"tapDragZoom\",it);let yt=B.touchPitch=new gf(B);this._add(\"touchPitch\",yt),w.interactive&&w.touchPitch&&B.touchPitch.enable(w.touchPitch);let Ot=Rl(w),Nt=Ih(w);B.dragRotate=new hn(w,Ot,Nt),this._add(\"mouseRotate\",Ot,[\"mousePitch\"]),this._add(\"mousePitch\",Nt,[\"mouseRotate\"]),w.interactive&&w.dragRotate&&B.dragRotate.enable();let hr=(({enable:Je,clickTolerance:He})=>{let et=new pc({checkCorrectEvent:Mt=>c.mouseButton(Mt)===0&&!Mt.ctrlKey});return new ju({clickTolerance:He,move:(Mt,Dt)=>({around:Dt,panDelta:Dt.sub(Mt)}),activateOnStart:!0,moveStateManager:et,enable:Je,assignEvents:Ph})})(w),Sr=new Wu(w,B);B.dragPan=new Xi(Q,hr,Sr),this._add(\"mousePan\",hr),this._add(\"touchPan\",Sr,[\"touchZoom\",\"touchRotate\"]),w.interactive&&w.dragPan&&B.dragPan.enable(w.dragPan);let he=new Yc,be=new ru;B.touchZoomRotate=new Ti(Q,be,he,it),this._add(\"touchRotate\",he,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",be,[\"touchPan\",\"touchRotate\"]),w.interactive&&w.touchZoomRotate&&B.touchZoomRotate.enable(w.touchZoomRotate);let Pe=B.scrollZoom=new Ur(B,()=>this._triggerRenderFrame());this._add(\"scrollZoom\",Pe,[\"mousePan\"]),w.interactive&&w.scrollZoom&&B.scrollZoom.enable(w.scrollZoom);let Oe=B.keyboard=new Bt(B);this._add(\"keyboard\",Oe),w.interactive&&w.keyboard&&B.keyboard.enable(),this._add(\"blockableMapEvent\",new Fs(B))}_add(w,B,Q){this._handlers.push({handlerName:w,handler:B,allowed:Q}),this._handlersById[w]=B}stop(w){if(!this._updatingCamera){for(let{handler:B}of this._handlers)B.reset();this._inertia.clear(),this._fireEvents({},{},w),this._changes=[]}}isActive(){for(let{handler:w}of this._handlers)if(w.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!Ii(this._eventsInProgress)||this.isZooming()}_blockedByActive(w,B,Q){for(let ee in w)if(ee!==Q&&(!B||B.indexOf(ee)<0))return!0;return!1}_getMapTouches(w){let B=[];for(let Q of w)this._el.contains(Q.target)&&B.push(Q);return B}mergeHandlerResult(w,B,Q,ee,se){if(!Q)return;a.e(w,Q);let qe={handlerName:ee,originalEvent:Q.originalEvent||se};Q.zoomDelta!==void 0&&(B.zoom=qe),Q.panDelta!==void 0&&(B.drag=qe),Q.pitchDelta!==void 0&&(B.pitch=qe),Q.bearingDelta!==void 0&&(B.rotate=qe)}_applyChanges(){let w={},B={},Q={};for(let[ee,se,qe]of this._changes)ee.panDelta&&(w.panDelta=(w.panDelta||new a.P(0,0))._add(ee.panDelta)),ee.zoomDelta&&(w.zoomDelta=(w.zoomDelta||0)+ee.zoomDelta),ee.bearingDelta&&(w.bearingDelta=(w.bearingDelta||0)+ee.bearingDelta),ee.pitchDelta&&(w.pitchDelta=(w.pitchDelta||0)+ee.pitchDelta),ee.around!==void 0&&(w.around=ee.around),ee.pinchAround!==void 0&&(w.pinchAround=ee.pinchAround),ee.noInertia&&(w.noInertia=ee.noInertia),a.e(B,se),a.e(Q,qe);this._updateMapTransform(w,B,Q),this._changes=[]}_updateMapTransform(w,B,Q){let ee=this._map,se=ee._getTransformForUpdate(),qe=ee.terrain;if(!(Pn(w)||qe&&this._terrainMovement))return this._fireEvents(B,Q,!0);let{panDelta:je,zoomDelta:it,bearingDelta:yt,pitchDelta:Ot,around:Nt,pinchAround:hr}=w;hr!==void 0&&(Nt=hr),ee._stop(!0),Nt=Nt||ee.transform.centerPoint;let Sr=se.pointLocation(je?Nt.sub(je):Nt);yt&&(se.bearing+=yt),Ot&&(se.pitch+=Ot),it&&(se.zoom+=it),qe?this._terrainMovement||!B.drag&&!B.zoom?B.drag&&this._terrainMovement?se.center=se.pointLocation(se.centerPoint.sub(je)):se.setLocationAtPoint(Sr,Nt):(this._terrainMovement=!0,this._map._elevationFreeze=!0,se.setLocationAtPoint(Sr,Nt)):se.setLocationAtPoint(Sr,Nt),ee._applyUpdatedTransform(se),this._map._update(),w.noInertia||this._inertia.record(w),this._fireEvents(B,Q,!0)}_fireEvents(w,B,Q){let ee=Ii(this._eventsInProgress),se=Ii(w),qe={};for(let Nt in w){let{originalEvent:hr}=w[Nt];this._eventsInProgress[Nt]||(qe[`${Nt}start`]=hr),this._eventsInProgress[Nt]=w[Nt]}!ee&&se&&this._fireEvent(\"movestart\",se.originalEvent);for(let Nt in qe)this._fireEvent(Nt,qe[Nt]);se&&this._fireEvent(\"move\",se.originalEvent);for(let Nt in w){let{originalEvent:hr}=w[Nt];this._fireEvent(Nt,hr)}let je={},it;for(let Nt in this._eventsInProgress){let{handlerName:hr,originalEvent:Sr}=this._eventsInProgress[Nt];this._handlersById[hr].isActive()||(delete this._eventsInProgress[Nt],it=B[hr]||Sr,je[`${Nt}end`]=it)}for(let Nt in je)this._fireEvent(Nt,je[Nt]);let yt=Ii(this._eventsInProgress),Ot=(ee||se)&&!yt;if(Ot&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let Nt=this._map._getTransformForUpdate();Nt.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(Nt)}if(Q&&Ot){this._updatingCamera=!0;let Nt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),hr=Sr=>Sr!==0&&-this._bearingSnap<Sr&&Sr<this._bearingSnap;!Nt||!Nt.essential&&u.prefersReducedMotion?(this._map.fire(new a.k(\"moveend\",{originalEvent:it})),hr(this._map.getBearing())&&this._map.resetNorth()):(hr(Nt.bearing||this._map.getBearing())&&(Nt.bearing=0),Nt.freezeElevation=!0,this._map.easeTo(Nt,{originalEvent:it})),this._updatingCamera=!1}}_fireEvent(w,B){this._map.fire(new a.k(w,B?{originalEvent:B}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add(w=>{delete this._frameId,this.handleEvent(new mi(\"renderFrame\",{timeStamp:w})),this._applyChanges()})}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class Ta extends a.E{constructor(w,B){super(),this._renderFrameCallback=()=>{let Q=Math.min((u.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(Q)),Q<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=w,this._bearingSnap=B.bearingSnap,this.on(\"moveend\",()=>{delete this._requestedCameraState})}getCenter(){return new a.N(this.transform.center.lng,this.transform.center.lat)}setCenter(w,B){return this.jumpTo({center:w},B)}panBy(w,B,Q){return w=a.P.convert(w).mult(-1),this.panTo(this.transform.center,a.e({offset:w},B),Q)}panTo(w,B,Q){return this.easeTo(a.e({center:w},B),Q)}getZoom(){return this.transform.zoom}setZoom(w,B){return this.jumpTo({zoom:w},B),this}zoomTo(w,B,Q){return this.easeTo(a.e({zoom:w},B),Q)}zoomIn(w,B){return this.zoomTo(this.getZoom()+1,w,B),this}zoomOut(w,B){return this.zoomTo(this.getZoom()-1,w,B),this}getBearing(){return this.transform.bearing}setBearing(w,B){return this.jumpTo({bearing:w},B),this}getPadding(){return this.transform.padding}setPadding(w,B){return this.jumpTo({padding:w},B),this}rotateTo(w,B,Q){return this.easeTo(a.e({bearing:w},B),Q)}resetNorth(w,B){return this.rotateTo(0,a.e({duration:1e3},w),B),this}resetNorthPitch(w,B){return this.easeTo(a.e({bearing:0,pitch:0,duration:1e3},w),B),this}snapToNorth(w,B){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(w,B):this}getPitch(){return this.transform.pitch}setPitch(w,B){return this.jumpTo({pitch:w},B),this}cameraForBounds(w,B){w=ce.convert(w).adjustAntiMeridian();let Q=B&&B.bearing||0;return this._cameraForBoxAndBearing(w.getNorthWest(),w.getSouthEast(),Q,B)}_cameraForBoxAndBearing(w,B,Q,ee){let se={top:0,bottom:0,right:0,left:0};if(typeof(ee=a.e({padding:se,offset:[0,0],maxZoom:this.transform.maxZoom},ee)).padding==\"number\"){let zr=ee.padding;ee.padding={top:zr,bottom:zr,right:zr,left:zr}}ee.padding=a.e(se,ee.padding);let qe=this.transform,je=qe.padding,it=new ce(w,B),yt=qe.project(it.getNorthWest()),Ot=qe.project(it.getNorthEast()),Nt=qe.project(it.getSouthEast()),hr=qe.project(it.getSouthWest()),Sr=a.ba(-Q),he=yt.rotate(Sr),be=Ot.rotate(Sr),Pe=Nt.rotate(Sr),Oe=hr.rotate(Sr),Je=new a.P(Math.max(he.x,be.x,Oe.x,Pe.x),Math.max(he.y,be.y,Oe.y,Pe.y)),He=new a.P(Math.min(he.x,be.x,Oe.x,Pe.x),Math.min(he.y,be.y,Oe.y,Pe.y)),et=Je.sub(He),Mt=(qe.width-(je.left+je.right+ee.padding.left+ee.padding.right))/et.x,Dt=(qe.height-(je.top+je.bottom+ee.padding.top+ee.padding.bottom))/et.y;if(Dt<0||Mt<0)return void a.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");let Ut=Math.min(qe.scaleZoom(qe.scale*Math.min(Mt,Dt)),ee.maxZoom),tr=a.P.convert(ee.offset),mr=new a.P((ee.padding.left-ee.padding.right)/2,(ee.padding.top-ee.padding.bottom)/2).rotate(a.ba(Q)),Rr=tr.add(mr).mult(qe.scale/qe.zoomScale(Ut));return{center:qe.unproject(yt.add(Nt).div(2).sub(Rr)),zoom:Ut,bearing:Q}}fitBounds(w,B,Q){return this._fitInternal(this.cameraForBounds(w,B),B,Q)}fitScreenCoordinates(w,B,Q,ee,se){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(a.P.convert(w)),this.transform.pointLocation(a.P.convert(B)),Q,ee),ee,se)}_fitInternal(w,B,Q){return w?(delete(B=a.e(w,B)).padding,B.linear?this.easeTo(B,Q):this.flyTo(B,Q)):this}jumpTo(w,B){this.stop();let Q=this._getTransformForUpdate(),ee=!1,se=!1,qe=!1;return\"zoom\"in w&&Q.zoom!==+w.zoom&&(ee=!0,Q.zoom=+w.zoom),w.center!==void 0&&(Q.center=a.N.convert(w.center)),\"bearing\"in w&&Q.bearing!==+w.bearing&&(se=!0,Q.bearing=+w.bearing),\"pitch\"in w&&Q.pitch!==+w.pitch&&(qe=!0,Q.pitch=+w.pitch),w.padding==null||Q.isPaddingEqual(w.padding)||(Q.padding=w.padding),this._applyUpdatedTransform(Q),this.fire(new a.k(\"movestart\",B)).fire(new a.k(\"move\",B)),ee&&this.fire(new a.k(\"zoomstart\",B)).fire(new a.k(\"zoom\",B)).fire(new a.k(\"zoomend\",B)),se&&this.fire(new a.k(\"rotatestart\",B)).fire(new a.k(\"rotate\",B)).fire(new a.k(\"rotateend\",B)),qe&&this.fire(new a.k(\"pitchstart\",B)).fire(new a.k(\"pitch\",B)).fire(new a.k(\"pitchend\",B)),this.fire(new a.k(\"moveend\",B))}calculateCameraOptionsFromTo(w,B,Q,ee=0){let se=a.Z.fromLngLat(w,B),qe=a.Z.fromLngLat(Q,ee),je=qe.x-se.x,it=qe.y-se.y,yt=qe.z-se.z,Ot=Math.hypot(je,it,yt);if(Ot===0)throw new Error(\"Can't calculate camera options with same From and To\");let Nt=Math.hypot(je,it),hr=this.transform.scaleZoom(this.transform.cameraToCenterDistance/Ot/this.transform.tileSize),Sr=180*Math.atan2(je,-it)/Math.PI,he=180*Math.acos(Nt/Ot)/Math.PI;return he=yt<0?90-he:90+he,{center:qe.toLngLat(),zoom:hr,pitch:he,bearing:Sr}}easeTo(w,B){var Q;this._stop(!1,w.easeId),((w=a.e({offset:[0,0],duration:500,easing:a.b9},w)).animate===!1||!w.essential&&u.prefersReducedMotion)&&(w.duration=0);let ee=this._getTransformForUpdate(),se=ee.zoom,qe=ee.bearing,je=ee.pitch,it=ee.padding,yt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Ot=\"pitch\"in w?+w.pitch:je,Nt=\"padding\"in w?w.padding:ee.padding,hr=a.P.convert(w.offset),Sr=ee.centerPoint.add(hr),he=ee.pointLocation(Sr),{center:be,zoom:Pe}=ee.getConstrained(a.N.convert(w.center||he),(Q=w.zoom)!==null&&Q!==void 0?Q:se);this._normalizeCenter(be,ee);let Oe=ee.project(he),Je=ee.project(be).sub(Oe),He=ee.zoomScale(Pe-se),et,Mt;w.around&&(et=a.N.convert(w.around),Mt=ee.locationPoint(et));let Dt={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||Pe!==se,this._rotating=this._rotating||qe!==yt,this._pitching=this._pitching||Ot!==je,this._padding=!ee.isPaddingEqual(Nt),this._easeId=w.easeId,this._prepareEase(B,w.noMoveStart,Dt),this.terrain&&this._prepareElevation(be),this._ease(Ut=>{if(this._zooming&&(ee.zoom=a.y.number(se,Pe,Ut)),this._rotating&&(ee.bearing=a.y.number(qe,yt,Ut)),this._pitching&&(ee.pitch=a.y.number(je,Ot,Ut)),this._padding&&(ee.interpolatePadding(it,Nt,Ut),Sr=ee.centerPoint.add(hr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Ut),et)ee.setLocationAtPoint(et,Mt);else{let tr=ee.zoomScale(ee.zoom-se),mr=Pe>se?Math.min(2,He):Math.max(.5,He),Rr=Math.pow(mr,1-Ut),zr=ee.unproject(Oe.add(Je.mult(Ut*Rr)).mult(tr));ee.setLocationAtPoint(ee.renderWorldCopies?zr.wrap():zr,Sr)}this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},Ut=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B,Ut)},w),this}_prepareEase(w,B,Q={}){this._moving=!0,B||Q.moving||this.fire(new a.k(\"movestart\",w)),this._zooming&&!Q.zooming&&this.fire(new a.k(\"zoomstart\",w)),this._rotating&&!Q.rotating&&this.fire(new a.k(\"rotatestart\",w)),this._pitching&&!Q.pitching&&this.fire(new a.k(\"pitchstart\",w))}_prepareElevation(w){this._elevationCenter=w,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(w,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(w){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let B=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(w<1&&B!==this._elevationTarget){let Q=this._elevationTarget-this._elevationStart;this._elevationStart+=w*(Q-(B-(Q*w+this._elevationStart))/(1-w)),this._elevationTarget=B}this.transform.elevation=a.y.number(this._elevationStart,this._elevationTarget,w)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(w){let B=w.getCameraPosition(),Q=this.terrain.getElevationForLngLatZoom(B.lngLat,w.zoom);if(B.altitude<Q){let ee=this.calculateCameraOptionsFromTo(B.lngLat,Q,w.center,w.elevation);return{pitch:ee.pitch,zoom:ee.zoom}}return{}}_applyUpdatedTransform(w){let B=[];if(this.terrain&&B.push(ee=>this._elevateCameraIfInsideTerrain(ee)),this.transformCameraUpdate&&B.push(ee=>this.transformCameraUpdate(ee)),!B.length)return;let Q=w.clone();for(let ee of B){let se=Q.clone(),{center:qe,zoom:je,pitch:it,bearing:yt,elevation:Ot}=ee(se);qe&&(se.center=qe),je!==void 0&&(se.zoom=je),it!==void 0&&(se.pitch=it),yt!==void 0&&(se.bearing=yt),Ot!==void 0&&(se.elevation=Ot),Q.apply(se)}this.transform.apply(Q)}_fireMoveEvents(w){this.fire(new a.k(\"move\",w)),this._zooming&&this.fire(new a.k(\"zoom\",w)),this._rotating&&this.fire(new a.k(\"rotate\",w)),this._pitching&&this.fire(new a.k(\"pitch\",w))}_afterEase(w,B){if(this._easeId&&B&&this._easeId===B)return;delete this._easeId;let Q=this._zooming,ee=this._rotating,se=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Q&&this.fire(new a.k(\"zoomend\",w)),ee&&this.fire(new a.k(\"rotateend\",w)),se&&this.fire(new a.k(\"pitchend\",w)),this.fire(new a.k(\"moveend\",w))}flyTo(w,B){var Q;if(!w.essential&&u.prefersReducedMotion){let Qi=a.M(w,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(Qi,B)}this.stop(),w=a.e({offset:[0,0],speed:1.2,curve:1.42,easing:a.b9},w);let ee=this._getTransformForUpdate(),se=ee.zoom,qe=ee.bearing,je=ee.pitch,it=ee.padding,yt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Ot=\"pitch\"in w?+w.pitch:je,Nt=\"padding\"in w?w.padding:ee.padding,hr=a.P.convert(w.offset),Sr=ee.centerPoint.add(hr),he=ee.pointLocation(Sr),{center:be,zoom:Pe}=ee.getConstrained(a.N.convert(w.center||he),(Q=w.zoom)!==null&&Q!==void 0?Q:se);this._normalizeCenter(be,ee);let Oe=ee.zoomScale(Pe-se),Je=ee.project(he),He=ee.project(be).sub(Je),et=w.curve,Mt=Math.max(ee.width,ee.height),Dt=Mt/Oe,Ut=He.mag();if(\"minZoom\"in w){let Qi=a.ac(Math.min(w.minZoom,se,Pe),ee.minZoom,ee.maxZoom),Mn=Mt/ee.zoomScale(Qi-se);et=Math.sqrt(Mn/Ut*2)}let tr=et*et;function mr(Qi){let Mn=(Dt*Dt-Mt*Mt+(Qi?-1:1)*tr*tr*Ut*Ut)/(2*(Qi?Dt:Mt)*tr*Ut);return Math.log(Math.sqrt(Mn*Mn+1)-Mn)}function Rr(Qi){return(Math.exp(Qi)-Math.exp(-Qi))/2}function zr(Qi){return(Math.exp(Qi)+Math.exp(-Qi))/2}let Xr=mr(!1),di=function(Qi){return zr(Xr)/zr(Xr+et*Qi)},Li=function(Qi){return Mt*((zr(Xr)*(Rr(Mn=Xr+et*Qi)/zr(Mn))-Rr(Xr))/tr)/Ut;var Mn},Ci=(mr(!0)-Xr)/et;if(Math.abs(Ut)<1e-6||!isFinite(Ci)){if(Math.abs(Mt-Dt)<1e-6)return this.easeTo(w,B);let Qi=Dt<Mt?-1:1;Ci=Math.abs(Math.log(Dt/Mt))/et,Li=()=>0,di=Mn=>Math.exp(Qi*et*Mn)}return w.duration=\"duration\"in w?+w.duration:1e3*Ci/(\"screenSpeed\"in w?+w.screenSpeed/et:+w.speed),w.maxDuration&&w.duration>w.maxDuration&&(w.duration=0),this._zooming=!0,this._rotating=qe!==yt,this._pitching=Ot!==je,this._padding=!ee.isPaddingEqual(Nt),this._prepareEase(B,!1),this.terrain&&this._prepareElevation(be),this._ease(Qi=>{let Mn=Qi*Ci,pa=1/di(Mn);ee.zoom=Qi===1?Pe:se+ee.scaleZoom(pa),this._rotating&&(ee.bearing=a.y.number(qe,yt,Qi)),this._pitching&&(ee.pitch=a.y.number(je,Ot,Qi)),this._padding&&(ee.interpolatePadding(it,Nt,Qi),Sr=ee.centerPoint.add(hr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Qi);let ea=Qi===1?be:ee.unproject(Je.add(He.mult(Li(Mn))).mult(pa));ee.setLocationAtPoint(ee.renderWorldCopies?ea.wrap():ea,Sr),this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},()=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B)},w),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(w,B){var Q;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let ee=this._onEaseEnd;delete this._onEaseEnd,ee.call(this,B)}return w||(Q=this.handlers)===null||Q===void 0||Q.stop(!1),this}_ease(w,B,Q){Q.animate===!1||Q.duration===0?(w(1),B()):(this._easeStart=u.now(),this._easeOptions=Q,this._onEaseFrame=w,this._onEaseEnd=B,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(w,B){w=a.b3(w,-180,180);let Q=Math.abs(w-B);return Math.abs(w-360-B)<Q&&(w-=360),Math.abs(w+360-B)<Q&&(w+=360),w}_normalizeCenter(w,B){if(!B.renderWorldCopies||B.lngRange)return;let Q=w.lng-B.center.lng;w.lng+=Q>180?-360:Q<-180?360:0}queryTerrainElevation(w){return this.terrain?this.terrain.getElevationForLngLatZoom(a.N.convert(w),this.transform.tileZoom)-this.transform.elevation:null}}let Ea={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class qa{constructor(w=Ea){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=B=>{!B||B.sourceDataType!==\"metadata\"&&B.sourceDataType!==\"visibility\"&&B.dataType!==\"style\"&&B.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=w}getDefaultPosition(){return\"bottom-right\"}onAdd(w){return this._map=w,this._compact=this.options.compact,this._container=c.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=c.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=c.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){c.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(w,B){let Q=this._map._getUIString(`AttributionControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)}_updateAttributions(){if(!this._map.style)return;let w=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?w=w.concat(this.options.customAttribution.map(ee=>typeof ee!=\"string\"?\"\":ee)):typeof this.options.customAttribution==\"string\"&&w.push(this.options.customAttribution)),this._map.style.stylesheet){let ee=this._map.style.stylesheet;this.styleOwner=ee.owner,this.styleId=ee.id}let B=this._map.style.sourceCaches;for(let ee in B){let se=B[ee];if(se.used||se.usedForTerrain){let qe=se.getSource();qe.attribution&&w.indexOf(qe.attribution)<0&&w.push(qe.attribution)}}w=w.filter(ee=>String(ee).trim()),w.sort((ee,se)=>ee.length-se.length),w=w.filter((ee,se)=>{for(let qe=se+1;qe<w.length;qe++)if(w[qe].indexOf(ee)>=0)return!1;return!0});let Q=w.join(\" | \");Q!==this._attribHTML&&(this._attribHTML=Q,w.length?(this._innerContainer.innerHTML=Q,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Cn{constructor(w={}){this._updateCompact=()=>{let B=this._container.children;if(B.length){let Q=B[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&Q.classList.add(\"maplibregl-compact\"):Q.classList.remove(\"maplibregl-compact\")}},this.options=w}getDefaultPosition(){return\"bottom-left\"}onAdd(w){this._map=w,this._compact=this.options&&this.options.compact,this._container=c.create(\"div\",\"maplibregl-ctrl\");let B=c.create(\"a\",\"maplibregl-ctrl-logo\");return B.target=\"_blank\",B.rel=\"noopener nofollow\",B.href=\"https://maplibre.org/\",B.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),B.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(B),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){c.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class sn{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(w){let B=++this._id;return this._queue.push({callback:w,id:B,cancelled:!1}),B}remove(w){let B=this._currentlyRunning,Q=B?this._queue.concat(B):this._queue;for(let ee of Q)if(ee.id===w)return void(ee.cancelled=!0)}run(w=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let B=this._currentlyRunning=this._queue;this._queue=[];for(let Q of B)if(!Q.cancelled&&(Q.callback(w),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var Ua=a.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class mo extends a.E{constructor(w){super(),this.sourceCache=w,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,w.usedForTerrain=!0,w.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(w,B){this.sourceCache.update(w,B),this._renderableTilesKeys=[];let Q={};for(let ee of w.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:B}))Q[ee.key]=!0,this._renderableTilesKeys.push(ee.key),this._tiles[ee.key]||(ee.posMatrix=new Float64Array(16),a.aP(ee.posMatrix,0,a.X,0,a.X,0,1),this._tiles[ee.key]=new Lt(ee,this.tileSize));for(let ee in this._tiles)Q[ee]||delete this._tiles[ee]}freeRtt(w){for(let B in this._tiles){let Q=this._tiles[B];(!w||Q.tileID.equals(w)||Q.tileID.isChildOf(w)||w.isChildOf(Q.tileID))&&(Q.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map(w=>this.getTileByID(w))}getTileByID(w){return this._tiles[w]}getTerrainCoords(w){let B={};for(let Q of this._renderableTilesKeys){let ee=this._tiles[Q].tileID;if(ee.canonical.equals(w.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16),a.aP(se.posMatrix,0,a.X,0,a.X,0,1),B[Q]=se}else if(ee.canonical.isChildOf(w.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16);let qe=ee.canonical.z-w.canonical.z,je=ee.canonical.x-(ee.canonical.x>>qe<<qe),it=ee.canonical.y-(ee.canonical.y>>qe<<qe),yt=a.X>>qe;a.aP(se.posMatrix,0,yt,0,yt,0,1),a.J(se.posMatrix,se.posMatrix,[-je*yt,-it*yt,0]),B[Q]=se}else if(w.canonical.isChildOf(ee.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16);let qe=w.canonical.z-ee.canonical.z,je=w.canonical.x-(w.canonical.x>>qe<<qe),it=w.canonical.y-(w.canonical.y>>qe<<qe),yt=a.X>>qe;a.aP(se.posMatrix,0,a.X,0,a.X,0,1),a.J(se.posMatrix,se.posMatrix,[je*yt,it*yt,0]),a.K(se.posMatrix,se.posMatrix,[1/2**qe,1/2**qe,0]),B[Q]=se}}return B}getSourceTile(w,B){let Q=this.sourceCache._source,ee=w.overscaledZ-this.deltaZoom;if(ee>Q.maxzoom&&(ee=Q.maxzoom),ee<Q.minzoom)return null;this._sourceTileCache[w.key]||(this._sourceTileCache[w.key]=w.scaledTo(ee).key);let se=this.sourceCache.getTileByID(this._sourceTileCache[w.key]);if((!se||!se.dem)&&B)for(;ee>=Q.minzoom&&(!se||!se.dem);)se=this.sourceCache.getTileByID(w.scaledTo(ee--).key);return se}tilesAfterTime(w=Date.now()){return Object.values(this._tiles).filter(B=>B.timeAdded>=w)}}class Xo{constructor(w,B,Q){this.painter=w,this.sourceCache=new mo(B),this.options=Q,this.exaggeration=typeof Q.exaggeration==\"number\"?Q.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(w,B,Q,ee=a.X){var se;if(!(B>=0&&B<ee&&Q>=0&&Q<ee))return 0;let qe=this.getTerrainData(w),je=(se=qe.tile)===null||se===void 0?void 0:se.dem;if(!je)return 0;let it=function(he,be,Pe){var Oe=be[0],Je=be[1];return he[0]=Pe[0]*Oe+Pe[4]*Je+Pe[12],he[1]=Pe[1]*Oe+Pe[5]*Je+Pe[13],he}([],[B/ee*a.X,Q/ee*a.X],qe.u_terrain_matrix),yt=[it[0]*je.dim,it[1]*je.dim],Ot=Math.floor(yt[0]),Nt=Math.floor(yt[1]),hr=yt[0]-Ot,Sr=yt[1]-Nt;return je.get(Ot,Nt)*(1-hr)*(1-Sr)+je.get(Ot+1,Nt)*hr*(1-Sr)+je.get(Ot,Nt+1)*(1-hr)*Sr+je.get(Ot+1,Nt+1)*hr*Sr}getElevationForLngLatZoom(w,B){if(!a.bb(B,w.wrap()))return 0;let{tileID:Q,mercatorX:ee,mercatorY:se}=this._getOverscaledTileIDFromLngLatZoom(w,B);return this.getElevation(Q,ee%a.X,se%a.X,a.X)}getElevation(w,B,Q,ee=a.X){return this.getDEMElevation(w,B,Q,ee)*this.exaggeration}getTerrainData(w){if(!this._emptyDemTexture){let ee=this.painter.context,se=new a.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new p(ee,se,ee.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new p(ee,new a.R({width:1,height:1}),ee.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=a.an([])}let B=this.sourceCache.getSourceTile(w,!0);if(B&&B.dem&&(!B.demTexture||B.needsTerrainPrepare)){let ee=this.painter.context;B.demTexture=this.painter.getTileTexture(B.dem.stride),B.demTexture?B.demTexture.update(B.dem.getPixels(),{premultiply:!1}):B.demTexture=new p(ee,B.dem.getPixels(),ee.gl.RGBA,{premultiply:!1}),B.demTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),B.needsTerrainPrepare=!1}let Q=B&&B+B.tileID.key+w.key;if(Q&&!this._demMatrixCache[Q]){let ee=this.sourceCache.sourceCache._source.maxzoom,se=w.canonical.z-B.tileID.canonical.z;w.overscaledZ>w.canonical.z&&(w.canonical.z>=ee?se=w.canonical.z-ee:a.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let qe=w.canonical.x-(w.canonical.x>>se<<se),je=w.canonical.y-(w.canonical.y>>se<<se),it=a.bc(new Float64Array(16),[1/(a.X<<se),1/(a.X<<se),0]);a.J(it,it,[qe*a.X,je*a.X,0]),this._demMatrixCache[w.key]={matrix:it,coord:w}}return{u_depth:2,u_terrain:3,u_terrain_dim:B&&B.dem&&B.dem.dim||1,u_terrain_matrix:Q?this._demMatrixCache[w.key].matrix:this._emptyDemMatrix,u_terrain_unpack:B&&B.dem&&B.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(B&&B.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:B}}getFramebuffer(w){let B=this.painter,Q=B.width/devicePixelRatio,ee=B.height/devicePixelRatio;return!this._fbo||this._fbo.width===Q&&this._fbo.height===ee||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new p(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new p(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=B.context.createFramebuffer(Q,ee,!0,!1),this._fbo.depthAttachment.set(B.context.createRenderbuffer(B.context.gl.DEPTH_COMPONENT16,Q,ee))),this._fbo.colorAttachment.set(w===\"coords\"?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){let w=this.painter.context;if(this._coordsTexture)return this._coordsTexture;let B=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let se=0,qe=0;se<this._coordsTextureSize;se++)for(let je=0;je<this._coordsTextureSize;je++,qe+=4)B[qe+0]=255&je,B[qe+1]=255&se,B[qe+2]=je>>8<<4|se>>8,B[qe+3]=0;let Q=new a.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(B.buffer)),ee=new p(w,Q,w.gl.RGBA,{premultiply:!1});return ee.bind(w.gl.NEAREST,w.gl.CLAMP_TO_EDGE),this._coordsTexture=ee,ee}pointCoordinate(w){this.painter.maybeDrawDepthAndCoords(!0);let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl,se=Math.round(w.x*this.painter.pixelRatio/devicePixelRatio),qe=Math.round(w.y*this.painter.pixelRatio/devicePixelRatio),je=Math.round(this.painter.height/devicePixelRatio);Q.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),ee.readPixels(se,je-qe-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null);let it=B[0]+(B[2]>>4<<8),yt=B[1]+((15&B[2])<<8),Ot=this.coordsIndex[255-B[3]],Nt=Ot&&this.sourceCache.getTileByID(Ot);if(!Nt)return null;let hr=this._coordsTextureSize,Sr=(1<<Nt.tileID.canonical.z)*hr;return new a.Z((Nt.tileID.canonical.x*hr+it)/Sr+Nt.tileID.wrap,(Nt.tileID.canonical.y*hr+yt)/Sr,this.getElevation(Nt.tileID,it,yt,hr))}depthAtPoint(w){let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl;return Q.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),ee.readPixels(w.x,this.painter.height/devicePixelRatio-w.y-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null),(B[0]/16777216+B[1]/65536+B[2]/256+B[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;let w=this.painter.context,B=new a.bd,Q=new a.aY,ee=this.meshSize,se=a.X/ee,qe=ee*ee;for(let Nt=0;Nt<=ee;Nt++)for(let hr=0;hr<=ee;hr++)B.emplaceBack(hr*se,Nt*se,0);for(let Nt=0;Nt<qe;Nt+=ee+1)for(let hr=0;hr<ee;hr++)Q.emplaceBack(hr+Nt,ee+hr+Nt+1,ee+hr+Nt+2),Q.emplaceBack(hr+Nt,ee+hr+Nt+2,hr+Nt+1);let je=B.length,it=je+2*(ee+1);for(let Nt of[0,1])for(let hr=0;hr<=ee;hr++)for(let Sr of[0,1])B.emplaceBack(hr*se,Nt*a.X,Sr);for(let Nt=0;Nt<2*ee;Nt+=2)Q.emplaceBack(it+Nt,it+Nt+1,it+Nt+3),Q.emplaceBack(it+Nt,it+Nt+3,it+Nt+2),Q.emplaceBack(je+Nt,je+Nt+3,je+Nt+1),Q.emplaceBack(je+Nt,je+Nt+2,je+Nt+3);let yt=B.length,Ot=yt+2*(ee+1);for(let Nt of[0,1])for(let hr=0;hr<=ee;hr++)for(let Sr of[0,1])B.emplaceBack(Nt*a.X,hr*se,Sr);for(let Nt=0;Nt<2*ee;Nt+=2)Q.emplaceBack(yt+Nt,yt+Nt+1,yt+Nt+3),Q.emplaceBack(yt+Nt,yt+Nt+3,yt+Nt+2),Q.emplaceBack(Ot+Nt,Ot+Nt+3,Ot+Nt+1),Q.emplaceBack(Ot+Nt,Ot+Nt+2,Ot+Nt+3);return this._mesh=new Pu(w.createVertexBuffer(B,Ua.members),w.createIndexBuffer(Q),a.a0.simpleSegment(0,0,B.length,Q.length)),this._mesh}getMeshFrameDelta(w){return 2*Math.PI*a.be/Math.pow(2,w)/5}getMinTileElevationForLngLatZoom(w,B){var Q;let{tileID:ee}=this._getOverscaledTileIDFromLngLatZoom(w,B);return(Q=this.getMinMaxElevation(ee).minElevation)!==null&&Q!==void 0?Q:0}getMinMaxElevation(w){let B=this.getTerrainData(w).tile,Q={minElevation:null,maxElevation:null};return B&&B.dem&&(Q.minElevation=B.dem.min*this.exaggeration,Q.maxElevation=B.dem.max*this.exaggeration),Q}_getOverscaledTileIDFromLngLatZoom(w,B){let Q=a.Z.fromLngLat(w.wrap()),ee=(1<<B)*a.X,se=Q.x*ee,qe=Q.y*ee,je=Math.floor(se/a.X),it=Math.floor(qe/a.X);return{tileID:new a.S(B,0,B,je,it),mercatorX:se,mercatorY:qe}}}class Ts{constructor(w,B,Q){this._context=w,this._size=B,this._tileSize=Q,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(let w of this._objects)w.texture.destroy(),w.fbo.destroy()}_createObject(w){let B=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),Q=new p(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return Q.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),B.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),B.colorAttachment.set(Q.texture),{id:w,fbo:B,texture:Q,stamp:-1,inUse:!1}}getObjectForId(w){return this._objects[w]}useObject(w){w.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter(B=>w.id!==B),this._recentlyUsed.push(w.id)}stampObject(w){w.stamp=++this._stamp}getOrCreateFreeObject(){for(let B of this._recentlyUsed)if(!this._objects[B].inUse)return this._objects[B];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let w=this._createObject(this._objects.length);return this._objects.push(w),w}freeObject(w){w.inUse=!1}freeAllObjects(){for(let w of this._objects)this.freeObject(w)}isFull(){return!(this._objects.length<this._size)&&this._objects.some(w=>!w.inUse)===!1}}let Qo={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class ys{constructor(w,B){this.painter=w,this.terrain=B,this.pool=new Ts(w.context,30,B.sourceCache.tileSize*B.qualityFactor)}destruct(){this.pool.destruct()}getTexture(w){return this.pool.getObjectForId(w.rtt[this._stacks.length-1].id).texture}prepareForRender(w,B){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=w._order.filter(Q=>!w._layers[Q].isHidden(B)),this._coordsDescendingInv={};for(let Q in w.sourceCaches){this._coordsDescendingInv[Q]={};let ee=w.sourceCaches[Q].getVisibleCoordinates();for(let se of ee){let qe=this.terrain.sourceCache.getTerrainCoords(se);for(let je in qe)this._coordsDescendingInv[Q][je]||(this._coordsDescendingInv[Q][je]=[]),this._coordsDescendingInv[Q][je].push(qe[je])}}this._coordsDescendingInvStr={};for(let Q of w._order){let ee=w._layers[Q],se=ee.source;if(Qo[ee.type]&&!this._coordsDescendingInvStr[se]){this._coordsDescendingInvStr[se]={};for(let qe in this._coordsDescendingInv[se])this._coordsDescendingInvStr[se][qe]=this._coordsDescendingInv[se][qe].map(je=>je.key).sort().join()}}for(let Q of this._renderableTiles)for(let ee in this._coordsDescendingInvStr){let se=this._coordsDescendingInvStr[ee][Q.tileID.key];se&&se!==Q.rttCoords[ee]&&(Q.rtt=[])}}renderLayer(w){if(w.isHidden(this.painter.transform.zoom))return!1;let B=w.type,Q=this.painter,ee=this._renderableLayerIds[this._renderableLayerIds.length-1]===w.id;if(Qo[B]&&(this._prevType&&Qo[this._prevType]||this._stacks.push([]),this._prevType=B,this._stacks[this._stacks.length-1].push(w.id),!ee))return!0;if(Qo[this._prevType]||Qo[B]&&ee){this._prevType=B;let se=this._stacks.length-1,qe=this._stacks[se]||[];for(let je of this._renderableTiles){if(this.pool.isFull()&&(eu(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(je),je.rtt[se]){let yt=this.pool.getObjectForId(je.rtt[se].id);if(yt.stamp===je.rtt[se].stamp){this.pool.useObject(yt);continue}}let it=this.pool.getOrCreateFreeObject();this.pool.useObject(it),this.pool.stampObject(it),je.rtt[se]={id:it.id,stamp:it.stamp},Q.context.bindFramebuffer.set(it.fbo.framebuffer),Q.context.clear({color:a.aM.transparent,stencil:0}),Q.currentStencilSource=void 0;for(let yt=0;yt<qe.length;yt++){let Ot=Q.style._layers[qe[yt]],Nt=Ot.source?this._coordsDescendingInv[Ot.source][je.tileID.key]:[je.tileID];Q.context.viewport.set([0,0,it.fbo.width,it.fbo.height]),Q._renderTileClippingMasks(Ot,Nt),Q.renderLayer(Q,Q.style.sourceCaches[Ot.source],Ot,Nt),Ot.source&&(je.rttCoords[Ot.source]=this._coordsDescendingInvStr[Ot.source][je.tileID.key])}}return eu(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Qo[B]}return!1}}let Bo={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use \\u2318 + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},yl=o,Gs={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Ea,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:a.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0},Rs=le=>{le.touchstart=le.dragStart,le.touchmoveWindow=le.dragMove,le.touchend=le.dragEnd},ia={showCompass:!0,showZoom:!0,visualizePitch:!1};class Ka{constructor(w,B,Q=!1){this.mousedown=qe=>{this.startMouse(a.e({},qe,{ctrlKey:!0,preventDefault:()=>qe.preventDefault()}),c.mousePos(this.element,qe)),c.addEventListener(window,\"mousemove\",this.mousemove),c.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=qe=>{this.moveMouse(qe,c.mousePos(this.element,qe))},this.mouseup=qe=>{this.mouseRotate.dragEnd(qe),this.mousePitch&&this.mousePitch.dragEnd(qe),this.offTemp()},this.touchstart=qe=>{qe.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.startTouch(qe,this._startPos),c.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=qe=>{qe.targetTouches.length!==1?this.reset():(this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.moveTouch(qe,this._lastPos))},this.touchend=qe=>{qe.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;let ee=w.dragRotate._mouseRotate.getClickTolerance(),se=w.dragRotate._mousePitch.getClickTolerance();this.element=B,this.mouseRotate=Rl({clickTolerance:ee,enable:!0}),this.touchRotate=(({enable:qe,clickTolerance:je,bearingDegreesPerPixelMoved:it=.8})=>{let yt=new pf;return new ju({clickTolerance:je,move:(Ot,Nt)=>({bearingDelta:(Nt.x-Ot.x)*it}),moveStateManager:yt,enable:qe,assignEvents:Rs})})({clickTolerance:ee,enable:!0}),this.map=w,Q&&(this.mousePitch=Ih({clickTolerance:se,enable:!0}),this.touchPitch=(({enable:qe,clickTolerance:je,pitchDegreesPerPixelMoved:it=-.5})=>{let yt=new pf;return new ju({clickTolerance:je,move:(Ot,Nt)=>({pitchDelta:(Nt.y-Ot.y)*it}),moveStateManager:yt,enable:qe,assignEvents:Rs})})({clickTolerance:se,enable:!0})),c.addEventListener(B,\"mousedown\",this.mousedown),c.addEventListener(B,\"touchstart\",this.touchstart,{passive:!1}),c.addEventListener(B,\"touchcancel\",this.reset)}startMouse(w,B){this.mouseRotate.dragStart(w,B),this.mousePitch&&this.mousePitch.dragStart(w,B),c.disableDrag()}startTouch(w,B){this.touchRotate.dragStart(w,B),this.touchPitch&&this.touchPitch.dragStart(w,B),c.disableDrag()}moveMouse(w,B){let Q=this.map,{bearingDelta:ee}=this.mouseRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.mousePitch){let{pitchDelta:se}=this.mousePitch.dragMove(w,B)||{};se&&Q.setPitch(Q.getPitch()+se)}}moveTouch(w,B){let Q=this.map,{bearingDelta:ee}=this.touchRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.touchPitch){let{pitchDelta:se}=this.touchPitch.dragMove(w,B)||{};se&&Q.setPitch(Q.getPitch()+se)}}off(){let w=this.element;c.removeEventListener(w,\"mousedown\",this.mousedown),c.removeEventListener(w,\"touchstart\",this.touchstart,{passive:!1}),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend),c.removeEventListener(w,\"touchcancel\",this.reset),this.offTemp()}offTemp(){c.enableDrag(),c.removeEventListener(window,\"mousemove\",this.mousemove),c.removeEventListener(window,\"mouseup\",this.mouseup),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend)}}let vs;function Ko(le,w,B){let Q=new a.N(le.lng,le.lat);if(le=new a.N(le.lng,le.lat),w){let ee=new a.N(le.lng-360,le.lat),se=new a.N(le.lng+360,le.lat),qe=B.locationPoint(le).distSqr(w);B.locationPoint(ee).distSqr(w)<qe?le=ee:B.locationPoint(se).distSqr(w)<qe&&(le=se)}for(;Math.abs(le.lng-B.center.lng)>180;){let ee=B.locationPoint(le);if(ee.x>=0&&ee.y>=0&&ee.x<=B.width&&ee.y<=B.height)break;le.lng>B.center.lng?le.lng-=360:le.lng+=360}return le.lng!==Q.lng&&B.locationPoint(le).y>B.height/2-B.getHorizon()?le:Q}let iu={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ru(le,w,B){let Q=le.classList;for(let ee in iu)Q.remove(`maplibregl-${B}-anchor-${ee}`);Q.add(`maplibregl-${B}-anchor-${w}`)}class ac extends a.E{constructor(w){if(super(),this._onKeyPress=B=>{let Q=B.code,ee=B.charCode||B.keyCode;Q!==\"Space\"&&Q!==\"Enter\"&&ee!==32&&ee!==13||this.togglePopup()},this._onMapClick=B=>{let Q=B.originalEvent.target,ee=this._element;this._popup&&(Q===ee||ee.contains(Q))&&this.togglePopup()},this._update=B=>{var Q;if(!this._map)return;let ee=this._map.loaded()&&!this._map.isMoving();((B==null?void 0:B.type)===\"terrain\"||(B==null?void 0:B.type)===\"render\"&&!ee)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?Ko(this._lngLat,this._flatPos,this._map.transform):(Q=this._lngLat)===null||Q===void 0?void 0:Q.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let se=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?se=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(se=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let qe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?qe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(qe=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||B&&B.type!==\"moveend\"||(this._pos=this._pos.round()),c.setTransform(this._element,`${iu[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${qe} ${se}`),u.frameAsync(new AbortController).then(()=>{this._updateOpacity(B&&B.type===\"moveend\")}).catch(()=>{})},this._onMove=B=>{if(!this._isDragging){let Q=this._clickTolerance||this._map._clickTolerance;this._isDragging=B.point.dist(this._pointerdownPos)>=Q}this._isDragging&&(this._pos=B.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new a.k(\"dragstart\"))),this.fire(new a.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new a.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=B=>{this._element.contains(B.originalEvent.target)&&(B.preventDefault(),this._positionDelta=B.point.sub(this._pos).add(this._offset),this._pointerdownPos=B.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=w&&w.anchor||\"center\",this._color=w&&w.color||\"#3FB1CE\",this._scale=w&&w.scale||1,this._draggable=w&&w.draggable||!1,this._clickTolerance=w&&w.clickTolerance||0,this._subpixelPositioning=w&&w.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=w&&w.rotation||0,this._rotationAlignment=w&&w.rotationAlignment||\"auto\",this._pitchAlignment=w&&w.pitchAlignment&&w.pitchAlignment!==\"auto\"?w.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(w==null?void 0:w.opacity,w==null?void 0:w.opacityWhenCovered),w&&w.element)this._element=w.element,this._offset=a.P.convert(w&&w.offset||[0,0]);else{this._defaultMarker=!0,this._element=c.create(\"div\");let B=c.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Q=41,ee=27;B.setAttributeNS(null,\"display\",\"block\"),B.setAttributeNS(null,\"height\",`${Q}px`),B.setAttributeNS(null,\"width\",`${ee}px`),B.setAttributeNS(null,\"viewBox\",`0 0 ${ee} ${Q}`);let se=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");se.setAttributeNS(null,\"stroke\",\"none\"),se.setAttributeNS(null,\"stroke-width\",\"1\"),se.setAttributeNS(null,\"fill\",\"none\"),se.setAttributeNS(null,\"fill-rule\",\"evenodd\");let qe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");qe.setAttributeNS(null,\"fill-rule\",\"nonzero\");let je=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");je.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),je.setAttributeNS(null,\"fill\",\"#000000\");let it=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(let Oe of it){let Je=c.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Je.setAttributeNS(null,\"opacity\",\"0.04\"),Je.setAttributeNS(null,\"cx\",\"10.5\"),Je.setAttributeNS(null,\"cy\",\"5.80029008\"),Je.setAttributeNS(null,\"rx\",Oe.rx),Je.setAttributeNS(null,\"ry\",Oe.ry),je.appendChild(Je)}let yt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");yt.setAttributeNS(null,\"fill\",this._color);let Ot=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");Ot.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),yt.appendChild(Ot);let Nt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Nt.setAttributeNS(null,\"opacity\",\"0.25\"),Nt.setAttributeNS(null,\"fill\",\"#000000\");let hr=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");hr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),Nt.appendChild(hr);let Sr=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Sr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Sr.setAttributeNS(null,\"fill\",\"#FFFFFF\");let he=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");he.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");let be=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");be.setAttributeNS(null,\"fill\",\"#000000\"),be.setAttributeNS(null,\"opacity\",\"0.25\"),be.setAttributeNS(null,\"cx\",\"5.5\"),be.setAttributeNS(null,\"cy\",\"5.5\"),be.setAttributeNS(null,\"r\",\"5.4999962\");let Pe=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Pe.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Pe.setAttributeNS(null,\"cx\",\"5.5\"),Pe.setAttributeNS(null,\"cy\",\"5.5\"),Pe.setAttributeNS(null,\"r\",\"5.4999962\"),he.appendChild(be),he.appendChild(Pe),qe.appendChild(je),qe.appendChild(yt),qe.appendChild(Nt),qe.appendChild(Sr),qe.appendChild(he),B.appendChild(qe),B.setAttributeNS(null,\"height\",Q*this._scale+\"px\"),B.setAttributeNS(null,\"width\",ee*this._scale+\"px\"),this._element.appendChild(B),this._offset=a.P.convert(w&&w.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",B=>{B.preventDefault()}),this._element.addEventListener(\"mousedown\",B=>{B.preventDefault()}),Ru(this._element,this._anchor,\"marker\"),w&&w.className)for(let B of w.className.split(\" \"))this._element.classList.add(B);this._popup=null}addTo(w){return this.remove(),this._map=w,this._element.setAttribute(\"aria-label\",w._getUIString(\"Marker.Title\")),w.getCanvasContainer().appendChild(this._element),w.on(\"move\",this._update),w.on(\"moveend\",this._update),w.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),c.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(w){return this._lngLat=a.N.convert(w),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(w){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),w){if(!(\"offset\"in w.options)){let ee=Math.abs(13.5)/Math.SQRT2;w.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[ee,-1*(38.1-13.5+ee)],\"bottom-right\":[-ee,-1*(38.1-13.5+ee)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=w,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(w){return this._subpixelPositioning=w,this}getPopup(){return this._popup}togglePopup(){let w=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:w?(w.isOpen()?w.remove():(w.setLngLat(this._lngLat),w.addTo(this._map)),this):this}_updateOpacity(w=!1){var B,Q;if(!(!((B=this._map)===null||B===void 0)&&B.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(w)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout(()=>{this._opacityTimeout=null},100)}let ee=this._map,se=ee.terrain.depthAtPoint(this._pos),qe=ee.terrain.getElevationForLngLatZoom(this._lngLat,ee.transform.tileZoom);if(ee.transform.lngLatToCameraDepth(this._lngLat,qe)-se<.006)return void(this._element.style.opacity=this._opacity);let je=-this._offset.y/ee.transform._pixelPerMeter,it=Math.sin(ee.getPitch()*Math.PI/180)*je,yt=ee.terrain.depthAtPoint(new a.P(this._pos.x,this._pos.y-this._offset.y)),Ot=ee.transform.lngLatToCameraDepth(this._lngLat,qe+it)-yt>.006;!((Q=this._popup)===null||Q===void 0)&&Q.isOpen()&&Ot&&this._popup.remove(),this._element.style.opacity=Ot?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(w){return this._offset=a.P.convert(w),this._update(),this}addClassName(w){this._element.classList.add(w)}removeClassName(w){this._element.classList.remove(w)}toggleClassName(w){return this._element.classList.toggle(w)}setDraggable(w){return this._draggable=!!w,this._map&&(w?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(w){return this._rotation=w||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(w){return this._rotationAlignment=w||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(w){return this._pitchAlignment=w&&w!==\"auto\"?w:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(w,B){return w===void 0&&B===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),w!==void 0&&(this._opacity=w),B!==void 0&&(this._opacityWhenCovered=B),this._map&&this._updateOpacity(!0),this}}let mf={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},bu=0,Kc=!1,Du={maxWidth:100,unit:\"metric\"};function Dc(le,w,B){let Q=B&&B.maxWidth||100,ee=le._container.clientHeight/2,se=le.unproject([0,ee]),qe=le.unproject([Q,ee]),je=se.distanceTo(qe);if(B&&B.unit===\"imperial\"){let it=3.2808*je;it>5280?Da(w,Q,it/5280,le._getUIString(\"ScaleControl.Miles\")):Da(w,Q,it,le._getUIString(\"ScaleControl.Feet\"))}else B&&B.unit===\"nautical\"?Da(w,Q,je/1852,le._getUIString(\"ScaleControl.NauticalMiles\")):je>=1e3?Da(w,Q,je/1e3,le._getUIString(\"ScaleControl.Kilometers\")):Da(w,Q,je,le._getUIString(\"ScaleControl.Meters\"))}function Da(le,w,B,Q){let ee=function(se){let qe=Math.pow(10,`${Math.floor(se)}`.length-1),je=se/qe;return je=je>=10?10:je>=5?5:je>=3?3:je>=2?2:je>=1?1:function(it){let yt=Math.pow(10,Math.ceil(-Math.log(it)/Math.LN10));return Math.round(it*yt)/yt}(je),qe*je}(B);le.style.width=w*(ee/B)+\"px\",le.innerHTML=`${ee}&nbsp;${Q}`}let eo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Jc=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function yc(le){if(le){if(typeof le==\"number\"){let w=Math.round(Math.abs(le)/Math.SQRT2);return{center:new a.P(0,0),top:new a.P(0,le),\"top-left\":new a.P(w,w),\"top-right\":new a.P(-w,w),bottom:new a.P(0,-le),\"bottom-left\":new a.P(w,-w),\"bottom-right\":new a.P(-w,-w),left:new a.P(le,0),right:new a.P(-le,0)}}if(le instanceof a.P||Array.isArray(le)){let w=a.P.convert(le);return{center:w,top:w,\"top-left\":w,\"top-right\":w,bottom:w,\"bottom-left\":w,\"bottom-right\":w,left:w,right:w}}return{center:a.P.convert(le.center||[0,0]),top:a.P.convert(le.top||[0,0]),\"top-left\":a.P.convert(le[\"top-left\"]||[0,0]),\"top-right\":a.P.convert(le[\"top-right\"]||[0,0]),bottom:a.P.convert(le.bottom||[0,0]),\"bottom-left\":a.P.convert(le[\"bottom-left\"]||[0,0]),\"bottom-right\":a.P.convert(le[\"bottom-right\"]||[0,0]),left:a.P.convert(le.left||[0,0]),right:a.P.convert(le.right||[0,0])}}return yc(new a.P(0,0))}let _c=o;i.AJAXError=a.bh,i.Evented=a.E,i.LngLat=a.N,i.MercatorCoordinate=a.Z,i.Point=a.P,i.addProtocol=a.bi,i.config=a.a,i.removeProtocol=a.bj,i.AttributionControl=qa,i.BoxZoomHandler=xu,i.CanvasSource=Ct,i.CooperativeGesturesHandler=qi,i.DoubleClickZoomHandler=fi,i.DragPanHandler=Xi,i.DragRotateHandler=hn,i.EdgeInsets=ic,i.FullscreenControl=class extends a.E{constructor(le={}){super(),this._onFullscreenChange=()=>{var w;let B=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((w=B==null?void 0:B.shadowRoot)===null||w===void 0)&&w.fullscreenElement;)B=B.shadowRoot.fullscreenElement;B===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,le&&le.container&&(le.container instanceof HTMLElement?this._container=le.container:a.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(le){return this._map=le,this._container||(this._container=this._map.getContainer()),this._controlContainer=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){c.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let le=this._fullscreenButton=c.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);c.create(\"span\",\"maplibregl-ctrl-icon\",le).setAttribute(\"aria-hidden\",\"true\"),le.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let le=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",le),this._fullscreenButton.title=le}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new a.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new a.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}},i.GeoJSONSource=rt,i.GeolocateControl=class extends a.E{constructor(le){super(),this._onSuccess=w=>{if(this._map){if(this._isOutOfMapMaxBounds(w))return this._setErrorState(),this.fire(new a.k(\"outofmaxbounds\",w)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=w,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(w),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(w),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"geolocate\",w)),this._finish()}},this._updateCamera=w=>{let B=new a.N(w.coords.longitude,w.coords.latitude),Q=w.coords.accuracy,ee=this._map.getBearing(),se=a.e({bearing:ee},this.options.fitBoundsOptions),qe=ce.fromLngLat(B,Q);this._map.fitBounds(qe,se,{geolocateSource:!0})},this._updateMarker=w=>{if(w){let B=new a.N(w.coords.longitude,w.coords.latitude);this._accuracyCircleMarker.setLngLat(B).addTo(this._map),this._userLocationDotMarker.setLngLat(B).addTo(this._map),this._accuracy=w.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=w=>{if(this._map){if(this.options.trackUserLocation)if(w.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(w.code===3&&Kc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"error\",w)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this._geolocateButton=c.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=w=>{if(this._map){if(w===!1){a.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}else{let B=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=c.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new ac({element:this._dotElement}),this._circleElement=c.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new ac({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",()=>this.trigger()),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",B=>{B.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||B.originalEvent&&B.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new a.k(\"trackuserlocationend\")),this.fire(new a.k(\"userlocationlostfocus\")))})}},this.options=a.e({},mf,le)}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return a._(this,arguments,void 0,function*(w=!1){if(vs!==void 0&&!w)return vs;if(window.navigator.permissions===void 0)return vs=!!window.navigator.geolocation,vs;try{vs=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch(B){vs=!!window.navigator.geolocation}return vs})}().then(w=>this._finishSetupUI(w)),this._container}onRemove(){this._geolocationWatchID!==void 0&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),c.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,bu=0,Kc=!1}_isOutOfMapMaxBounds(le){let w=this._map.getMaxBounds(),B=le.coords;return w&&(B.longitude<w.getWest()||B.longitude>w.getEast()||B.latitude<w.getSouth()||B.latitude>w.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){let le=this._map.getBounds(),w=le.getSouthEast(),B=le.getNorthEast(),Q=w.distanceTo(B),ee=Math.ceil(this._accuracy/(Q/this._map._container.clientHeight)*2);this._circleElement.style.width=`${ee}px`,this._circleElement.style.height=`${ee}px`}trigger(){if(!this._setup)return a.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new a.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":bu--,Kc=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new a.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new a.k(\"trackuserlocationstart\")),this.fire(new a.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let le;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),bu++,bu>1?(le={maximumAge:6e5,timeout:0},Kc=!0):(le=this.options.positionOptions,Kc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,le)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}},i.Hash=gd,i.ImageSource=Rt,i.KeyboardHandler=Bt,i.LngLatBounds=ce,i.LogoControl=Cn,i.Map=class extends Ta{constructor(le){a.bf.mark(a.bg.create);let w=Object.assign(Object.assign({},Gs),le);if(w.minZoom!=null&&w.maxZoom!=null&&w.minZoom>w.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(w.minPitch!=null&&w.maxPitch!=null&&w.minPitch>w.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(w.minPitch!=null&&w.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(w.maxPitch!=null&&w.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new Qs(w.minZoom,w.maxZoom,w.minPitch,w.maxPitch,w.renderWorldCopies),{bearingSnap:w.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new sn,this._controls=[],this._mapId=a.a4(),this._contextLost=B=>{B.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new a.k(\"webglcontextlost\",{originalEvent:B}))},this._contextRestored=B=>{this._setupPainter(),this.resize(),this._update(),this.fire(new a.k(\"webglcontextrestored\",{originalEvent:B}))},this._onMapScroll=B=>{if(B.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=w.interactive,this._maxTileCacheSize=w.maxTileCacheSize,this._maxTileCacheZoomLevels=w.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=w.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=w.preserveDrawingBuffer===!0,this._antialias=w.antialias===!0,this._trackResize=w.trackResize===!0,this._bearingSnap=w.bearingSnap,this._refreshExpiredTiles=w.refreshExpiredTiles===!0,this._fadeDuration=w.fadeDuration,this._crossSourceCollisions=w.crossSourceCollisions===!0,this._collectResourceTiming=w.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},Bo),w.locale),this._clickTolerance=w.clickTolerance,this._overridePixelRatio=w.pixelRatio,this._maxCanvasSize=w.maxCanvasSize,this.transformCameraUpdate=w.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=w.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=g.addThrottleControl(()=>this.isMoving()),this._requestManager=new E(w.transformRequest),typeof w.container==\"string\"){if(this._container=document.getElementById(w.container),!this._container)throw new Error(`Container '${w.container}' not found.`)}else{if(!(w.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=w.container}if(w.maxBounds&&this.setMaxBounds(w.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",()=>this._update(!1)).on(\"moveend\",()=>this._update(!1)).on(\"zoom\",()=>this._update(!0)).on(\"terrain\",()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)}).once(\"idle\",()=>{this._idleTriggered=!0}),typeof window!=\"undefined\"){addEventListener(\"online\",this._onWindowOnline,!1);let B=!1,Q=Qh(ee=>{this._trackResize&&!this._removed&&(this.resize(ee),this.redraw())},50);this._resizeObserver=new ResizeObserver(ee=>{B?Q(ee):B=!0}),this._resizeObserver.observe(this._container)}this.handlers=new Ma(this,w),this._hash=w.hash&&new gd(typeof w.hash==\"string\"&&w.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:w.center,zoom:w.zoom,bearing:w.bearing,pitch:w.pitch}),w.bounds&&(this.resize(),this.fitBounds(w.bounds,a.e({},w.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=w.localIdeographFontFamily,this._validateStyle=w.validateStyle,w.style&&this.setStyle(w.style,{localIdeographFontFamily:w.localIdeographFontFamily}),w.attributionControl&&this.addControl(new qa(typeof w.attributionControl==\"boolean\"?void 0:w.attributionControl)),w.maplibreLogo&&this.addControl(new Cn,w.logoPosition),this.on(\"style.load\",()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)}),this.on(\"data\",B=>{this._update(B.dataType===\"style\"),this.fire(new a.k(`${B.dataType}data`,B))}),this.on(\"dataloading\",B=>{this.fire(new a.k(`${B.dataType}dataloading`,B))}),this.on(\"dataabort\",B=>{this.fire(new a.k(\"sourcedataabort\",B))})}_getMapId(){return this._mapId}addControl(le,w){if(w===void 0&&(w=le.getDefaultPosition?le.getDefaultPosition():\"top-right\"),!le||!le.onAdd)return this.fire(new a.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let B=le.onAdd(this);this._controls.push(le);let Q=this._controlPositions[w];return w.indexOf(\"bottom\")!==-1?Q.insertBefore(B,Q.firstChild):Q.appendChild(B),this}removeControl(le){if(!le||!le.onRemove)return this.fire(new a.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let w=this._controls.indexOf(le);return w>-1&&this._controls.splice(w,1),le.onRemove(this),this}hasControl(le){return this._controls.indexOf(le)>-1}calculateCameraOptionsFromTo(le,w,B,Q){return Q==null&&this.terrain&&(Q=this.terrain.getElevationForLngLatZoom(B,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(le,w,B,Q)}resize(le){var w;let B=this._containerDimensions(),Q=B[0],ee=B[1],se=this._getClampedPixelRatio(Q,ee);if(this._resizeCanvas(Q,ee,se),this.painter.resize(Q,ee,se),this.painter.overLimit()){let je=this.painter.context.gl;this._maxCanvasSize=[je.drawingBufferWidth,je.drawingBufferHeight];let it=this._getClampedPixelRatio(Q,ee);this._resizeCanvas(Q,ee,it),this.painter.resize(Q,ee,it)}this.transform.resize(Q,ee),(w=this._requestedCameraState)===null||w===void 0||w.resize(Q,ee);let qe=!this._moving;return qe&&(this.stop(),this.fire(new a.k(\"movestart\",le)).fire(new a.k(\"move\",le))),this.fire(new a.k(\"resize\",le)),qe&&this.fire(new a.k(\"moveend\",le)),this}_getClampedPixelRatio(le,w){let{0:B,1:Q}=this._maxCanvasSize,ee=this.getPixelRatio(),se=le*ee,qe=w*ee;return Math.min(se>B?B/se:1,qe>Q?Q/qe:1)*ee}getPixelRatio(){var le;return(le=this._overridePixelRatio)!==null&&le!==void 0?le:devicePixelRatio}setPixelRatio(le){this._overridePixelRatio=le,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(le){return this.transform.setMaxBounds(ce.convert(le)),this._update()}setMinZoom(le){if((le=le==null?-2:le)>=-2&&le<=this.transform.maxZoom)return this.transform.minZoom=le,this._update(),this.getZoom()<le&&this.setZoom(le),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(le){if((le=le==null?22:le)>=this.transform.minZoom)return this.transform.maxZoom=le,this._update(),this.getZoom()>le&&this.setZoom(le),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(le){if((le=le==null?0:le)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(le>=0&&le<=this.transform.maxPitch)return this.transform.minPitch=le,this._update(),this.getPitch()<le&&this.setPitch(le),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(le){if((le=le==null?60:le)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(le>=this.transform.minPitch)return this.transform.maxPitch=le,this._update(),this.getPitch()>le&&this.setPitch(le),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(le){return this.transform.renderWorldCopies=le,this._update()}project(le){return this.transform.locationPoint(a.N.convert(le),this.style&&this.terrain)}unproject(le){return this.transform.pointLocation(a.P.convert(le),this.terrain)}isMoving(){var le;return this._moving||((le=this.handlers)===null||le===void 0?void 0:le.isMoving())}isZooming(){var le;return this._zooming||((le=this.handlers)===null||le===void 0?void 0:le.isZooming())}isRotating(){var le;return this._rotating||((le=this.handlers)===null||le===void 0?void 0:le.isRotating())}_createDelegatedListener(le,w,B){if(le===\"mouseenter\"||le===\"mouseover\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:se=>{let qe=w.filter(it=>this.getLayer(it)),je=qe.length!==0?this.queryRenderedFeatures(se.point,{layers:qe}):[];je.length?Q||(Q=!0,B.call(this,new tu(le,this,se.originalEvent,{features:je}))):Q=!1},mouseout:()=>{Q=!1}}}}if(le===\"mouseleave\"||le===\"mouseout\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:qe=>{let je=w.filter(it=>this.getLayer(it));(je.length!==0?this.queryRenderedFeatures(qe.point,{layers:je}):[]).length?Q=!0:Q&&(Q=!1,B.call(this,new tu(le,this,qe.originalEvent)))},mouseout:qe=>{Q&&(Q=!1,B.call(this,new tu(le,this,qe.originalEvent)))}}}}{let Q=ee=>{let se=w.filter(je=>this.getLayer(je)),qe=se.length!==0?this.queryRenderedFeatures(ee.point,{layers:se}):[];qe.length&&(ee.features=qe,B.call(this,ee),delete ee.features)};return{layers:w,listener:B,delegates:{[le]:Q}}}}_saveDelegatedListener(le,w){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[le]=this._delegatedListeners[le]||[],this._delegatedListeners[le].push(w)}_removeDelegatedListener(le,w,B){if(!this._delegatedListeners||!this._delegatedListeners[le])return;let Q=this._delegatedListeners[le];for(let ee=0;ee<Q.length;ee++){let se=Q[ee];if(se.listener===B&&se.layers.length===w.length&&se.layers.every(qe=>w.includes(qe))){for(let qe in se.delegates)this.off(qe,se.delegates[qe]);return void Q.splice(ee,1)}}}on(le,w,B){if(B===void 0)return super.on(le,w);let Q=this._createDelegatedListener(le,typeof w==\"string\"?[w]:w,B);this._saveDelegatedListener(le,Q);for(let ee in Q.delegates)this.on(ee,Q.delegates[ee]);return this}once(le,w,B){if(B===void 0)return super.once(le,w);let Q=typeof w==\"string\"?[w]:w,ee=this._createDelegatedListener(le,Q,B);for(let se in ee.delegates){let qe=ee.delegates[se];ee.delegates[se]=(...je)=>{this._removeDelegatedListener(le,Q,B),qe(...je)}}this._saveDelegatedListener(le,ee);for(let se in ee.delegates)this.once(se,ee.delegates[se]);return this}off(le,w,B){return B===void 0?super.off(le,w):(this._removeDelegatedListener(le,typeof w==\"string\"?[w]:w,B),this)}queryRenderedFeatures(le,w){if(!this.style)return[];let B,Q=le instanceof a.P||Array.isArray(le),ee=Q?le:[[0,0],[this.transform.width,this.transform.height]];if(w=w||(Q?{}:le)||{},ee instanceof a.P||typeof ee[0]==\"number\")B=[a.P.convert(ee)];else{let se=a.P.convert(ee[0]),qe=a.P.convert(ee[1]);B=[se,new a.P(qe.x,se.y),qe,new a.P(se.x,qe.y),se]}return this.style.queryRenderedFeatures(B,w,this.transform)}querySourceFeatures(le,w){return this.style.querySourceFeatures(le,w)}setStyle(le,w){return(w=a.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},w)).diff!==!1&&w.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&le?(this._diffStyle(le,w),this):(this._localIdeographFontFamily=w.localIdeographFontFamily,this._updateStyle(le,w))}setTransformRequest(le){return this._requestManager.setTransformRequest(le),this}_getUIString(le){let w=this._locale[le];if(w==null)throw new Error(`Missing UI string '${le}'`);return w}_updateStyle(le,w){if(w.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",()=>this._updateStyle(le,w));let B=this.style&&w.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!le)),le?(this.style=new Ha(this,w||{}),this.style.setEventedParent(this,{style:this.style}),typeof le==\"string\"?this.style.loadURL(le,w,B):this.style.loadJSON(le,w,B),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new Ha(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(le,w){if(typeof le==\"string\"){let B=this._requestManager.transformRequest(le,\"Style\");a.h(B,new AbortController).then(Q=>{this._updateDiff(Q.data,w)}).catch(Q=>{Q&&this.fire(new a.j(Q))})}else typeof le==\"object\"&&this._updateDiff(le,w)}_updateDiff(le,w){try{this.style.setState(le,w)&&this._update(!0)}catch(B){a.w(`Unable to perform style diff: ${B.message||B.error||B}.  Rebuilding the style from scratch.`),this._updateStyle(le,w)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():a.w(\"There is no style added to the map.\")}addSource(le,w){return this._lazyInitEmptyStyle(),this.style.addSource(le,w),this._update(!0)}isSourceLoaded(le){let w=this.style&&this.style.sourceCaches[le];if(w!==void 0)return w.loaded();this.fire(new a.j(new Error(`There is no source with ID '${le}'`)))}setTerrain(le){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),le){let w=this.style.sourceCaches[le.source];if(!w)throw new Error(`cannot load terrain, because there exists no source with ID: ${le.source}`);this.terrain===null&&w.reload();for(let B in this.style._layers){let Q=this.style._layers[B];Q.type===\"hillshade\"&&Q.source===le.source&&a.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Xo(this.painter,w,le),this.painter.renderToTexture=new ys(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=B=>{B.dataType===\"style\"?this.terrain.sourceCache.freeRtt():B.dataType===\"source\"&&B.tile&&(B.sourceId!==le.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(B.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new a.k(\"terrain\",{terrain:le})),this}getTerrain(){var le,w;return(w=(le=this.terrain)===null||le===void 0?void 0:le.options)!==null&&w!==void 0?w:null}areTilesLoaded(){let le=this.style&&this.style.sourceCaches;for(let w in le){let B=le[w]._tiles;for(let Q in B){let ee=B[Q];if(ee.state!==\"loaded\"&&ee.state!==\"errored\")return!1}}return!0}removeSource(le){return this.style.removeSource(le),this._update(!0)}getSource(le){return this.style.getSource(le)}addImage(le,w,B={}){let{pixelRatio:Q=1,sdf:ee=!1,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt}=B;if(this._lazyInitEmptyStyle(),!(w instanceof HTMLImageElement||a.b(w))){if(w.width===void 0||w.height===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{let{width:Ot,height:Nt,data:hr}=w,Sr=w;return this.style.addImage(le,{data:new a.R({width:Ot,height:Nt},new Uint8Array(hr)),pixelRatio:Q,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt,sdf:ee,version:0,userImage:Sr}),Sr.onAdd&&Sr.onAdd(this,le),this}}{let{width:Ot,height:Nt,data:hr}=u.getImageData(w);this.style.addImage(le,{data:new a.R({width:Ot,height:Nt},hr),pixelRatio:Q,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt,sdf:ee,version:0})}}updateImage(le,w){let B=this.style.getImage(le);if(!B)return this.fire(new a.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let Q=w instanceof HTMLImageElement||a.b(w)?u.getImageData(w):w,{width:ee,height:se,data:qe}=Q;if(ee===void 0||se===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(ee!==B.data.width||se!==B.data.height)return this.fire(new a.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let je=!(w instanceof HTMLImageElement||a.b(w));return B.data.replace(qe,je),this.style.updateImage(le,B),this}getImage(le){return this.style.getImage(le)}hasImage(le){return le?!!this.style.getImage(le):(this.fire(new a.j(new Error(\"Missing required image id\"))),!1)}removeImage(le){this.style.removeImage(le)}loadImage(le){return g.getImage(this._requestManager.transformRequest(le,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(le,w){return this._lazyInitEmptyStyle(),this.style.addLayer(le,w),this._update(!0)}moveLayer(le,w){return this.style.moveLayer(le,w),this._update(!0)}removeLayer(le){return this.style.removeLayer(le),this._update(!0)}getLayer(le){return this.style.getLayer(le)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(le,w,B){return this.style.setLayerZoomRange(le,w,B),this._update(!0)}setFilter(le,w,B={}){return this.style.setFilter(le,w,B),this._update(!0)}getFilter(le){return this.style.getFilter(le)}setPaintProperty(le,w,B,Q={}){return this.style.setPaintProperty(le,w,B,Q),this._update(!0)}getPaintProperty(le,w){return this.style.getPaintProperty(le,w)}setLayoutProperty(le,w,B,Q={}){return this.style.setLayoutProperty(le,w,B,Q),this._update(!0)}getLayoutProperty(le,w){return this.style.getLayoutProperty(le,w)}setGlyphs(le,w={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(le,w),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(le,w,B={}){return this._lazyInitEmptyStyle(),this.style.addSprite(le,w,B,Q=>{Q||this._update(!0)}),this}removeSprite(le){return this._lazyInitEmptyStyle(),this.style.removeSprite(le),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(le,w={}){return this._lazyInitEmptyStyle(),this.style.setSprite(le,w,B=>{B||this._update(!0)}),this}setLight(le,w={}){return this._lazyInitEmptyStyle(),this.style.setLight(le,w),this._update(!0)}getLight(){return this.style.getLight()}setSky(le){return this._lazyInitEmptyStyle(),this.style.setSky(le),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(le,w){return this.style.setFeatureState(le,w),this._update()}removeFeatureState(le,w){return this.style.removeFeatureState(le,w),this._update()}getFeatureState(le){return this.style.getFeatureState(le)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let le=0,w=0;return this._container&&(le=this._container.clientWidth||400,w=this._container.clientHeight||300),[le,w]}_setupContainer(){let le=this._container;le.classList.add(\"maplibregl-map\");let w=this._canvasContainer=c.create(\"div\",\"maplibregl-canvas-container\",le);this._interactive&&w.classList.add(\"maplibregl-interactive\"),this._canvas=c.create(\"canvas\",\"maplibregl-canvas\",w),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");let B=this._containerDimensions(),Q=this._getClampedPixelRatio(B[0],B[1]);this._resizeCanvas(B[0],B[1],Q);let ee=this._controlContainer=c.create(\"div\",\"maplibregl-control-container\",le),se=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(qe=>{se[qe]=c.create(\"div\",`maplibregl-ctrl-${qe} `,ee)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(le,w,B){this._canvas.width=Math.floor(B*le),this._canvas.height=Math.floor(B*w),this._canvas.style.width=`${le}px`,this._canvas.style.height=`${w}px`}_setupPainter(){let le={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},w=null;this._canvas.addEventListener(\"webglcontextcreationerror\",Q=>{w={requestedAttributes:le},Q&&(w.statusMessage=Q.statusMessage,w.type=Q.type)},{once:!0});let B=this._canvas.getContext(\"webgl2\",le)||this._canvas.getContext(\"webgl\",le);if(!B){let Q=\"Failed to initialize WebGL\";throw w?(w.message=Q,new Error(JSON.stringify(w))):new Error(Q)}this.painter=new Lc(B,this.transform),f.testSupport(B)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(le){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||le,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(le){return this._update(),this._renderTaskQueue.add(le)}_cancelRenderFrame(le){this._renderTaskQueue.remove(le)}_render(le){let w=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(le),this._removed)return;let B=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let ee=this.transform.zoom,se=u.now();this.style.zoomHistory.update(ee,se);let qe=new a.z(ee,{now:se,fadeDuration:w,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),je=qe.crossFadingFactor();je===1&&je===this._crossFadingFactor||(B=!0,this._crossFadingFactor=je),this.style.update(qe)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,w,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:w,showPadding:this.showPadding}),this.fire(new a.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,a.bf.mark(a.bg.load),this.fire(new a.k(\"load\"))),this.style&&(this.style.hasTransitions()||B)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let Q=this._sourcesDirty||this._styleDirty||this._placementDirty;return Q||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new a.k(\"idle\")),!this._loaded||this._fullyLoaded||Q||(this._fullyLoaded=!0,a.bf.mark(a.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var le;this._hash&&this._hash.remove();for(let B of this._controls)B.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof window!=\"undefined\"&&removeEventListener(\"online\",this._onWindowOnline,!1),g.removeThrottleControl(this._imageQueueHandle),(le=this._resizeObserver)===null||le===void 0||le.disconnect();let w=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");w!=null&&w.loseContext&&w.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),c.remove(this._canvasContainer),c.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),a.bf.clearMetrics(),this._removed=!0,this.fire(new a.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(le=>{a.bf.frame(le),this._frameRequest=null,this._render(le)}).catch(()=>{}))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(le){this._showTileBoundaries!==le&&(this._showTileBoundaries=le,this._update())}get showPadding(){return!!this._showPadding}set showPadding(le){this._showPadding!==le&&(this._showPadding=le,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(le){this._showCollisionBoxes!==le&&(this._showCollisionBoxes=le,le?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(le){this._showOverdrawInspector!==le&&(this._showOverdrawInspector=le,this._update())}get repaint(){return!!this._repaint}set repaint(le){this._repaint!==le&&(this._repaint=le,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(le){this._vertices=le,this._update()}get version(){return yl}getCameraTargetElevation(){return this.transform.elevation}},i.MapMouseEvent=tu,i.MapTouchEvent=vf,i.MapWheelEvent=md,i.Marker=ac,i.NavigationControl=class{constructor(le){this._updateZoomButtons=()=>{let w=this._map.getZoom(),B=w===this._map.getMaxZoom(),Q=w===this._map.getMinZoom();this._zoomInButton.disabled=B,this._zoomOutButton.disabled=Q,this._zoomInButton.setAttribute(\"aria-disabled\",B.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",Q.toString())},this._rotateCompassArrow=()=>{let w=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=w},this._setButtonTitle=(w,B)=>{let Q=this._map._getUIString(`NavigationControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)},this.options=a.e({},ia,le),this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",w=>this._map.zoomIn({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",w=>this._map.zoomOut({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",w=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:w}):this._map.resetNorth({},{originalEvent:w})}),this._compassIcon=c.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(le){return this._map=le,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ka(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){c.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map}_createButton(le,w){let B=c.create(\"button\",le,this._container);return B.type=\"button\",B.addEventListener(\"click\",w),B}},i.Popup=class extends a.E{constructor(le){super(),this.remove=()=>(this._content&&c.remove(this._content),this._container&&(c.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new a.k(\"close\"))),this),this._onMouseUp=w=>{this._update(w.point)},this._onMouseMove=w=>{this._update(w.point)},this._onDrag=w=>{this._update(w.point)},this._update=w=>{var B;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=c.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=c.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let je of this.options.className.split(\" \"))this._container.classList.add(je);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?Ko(this._lngLat,this._flatPos,this._map.transform):(B=this._lngLat)===null||B===void 0?void 0:B.wrap(),this._trackPointer&&!w)return;let Q=this._flatPos=this._pos=this._trackPointer&&w?w:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&w?w:this._map.transform.locationPoint(this._lngLat));let ee=this.options.anchor,se=yc(this.options.offset);if(!ee){let je=this._container.offsetWidth,it=this._container.offsetHeight,yt;yt=Q.y+se.bottom.y<it?[\"top\"]:Q.y>this._map.transform.height-it?[\"bottom\"]:[],Q.x<je/2?yt.push(\"left\"):Q.x>this._map.transform.width-je/2&&yt.push(\"right\"),ee=yt.length===0?\"bottom\":yt.join(\"-\")}let qe=Q.add(se[ee]);this.options.subpixelPositioning||(qe=qe.round()),c.setTransform(this._container,`${iu[ee]} translate(${qe.x}px,${qe.y}px)`),Ru(this._container,ee,\"popup\")},this._onClose=()=>{this.remove()},this.options=a.e(Object.create(eo),le)}addTo(le){return this._map&&this.remove(),this._map=le,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new a.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(le){return this._lngLat=a.N.convert(le),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(le){return this.setDOMContent(document.createTextNode(le))}setHTML(le){let w=document.createDocumentFragment(),B=document.createElement(\"body\"),Q;for(B.innerHTML=le;Q=B.firstChild,Q;)w.appendChild(Q);return this.setDOMContent(w)}getMaxWidth(){var le;return(le=this._container)===null||le===void 0?void 0:le.style.maxWidth}setMaxWidth(le){return this.options.maxWidth=le,this._update(),this}setDOMContent(le){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=c.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(le),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(le){return this._container&&this._container.classList.add(le),this}removeClassName(le){return this._container&&this._container.classList.remove(le),this}setOffset(le){return this.options.offset=le,this._update(),this}toggleClassName(le){if(this._container)return this._container.classList.toggle(le)}setSubpixelPositioning(le){this.options.subpixelPositioning=le}_createCloseButton(){this.options.closeButton&&(this._closeButton=c.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;let le=this._container.querySelector(Jc);le&&le.focus()}},i.RasterDEMTileSource=qt,i.RasterTileSource=ct,i.ScaleControl=class{constructor(le){this._onMove=()=>{Dc(this._map,this._container,this.options)},this.setUnit=w=>{this.options.unit=w,Dc(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},Du),le)}getDefaultPosition(){return\"bottom-left\"}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",le.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){c.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},i.ScrollZoomHandler=Ur,i.Style=Ha,i.TerrainControl=class{constructor(le){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=le}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=c.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){c.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},i.TwoFingersTouchPitchHandler=gf,i.TwoFingersTouchRotateHandler=Yc,i.TwoFingersTouchZoomHandler=ru,i.TwoFingersTouchZoomRotateHandler=Ti,i.VectorTileSource=nt,i.VideoSource=kt,i.addSourceType=(le,w)=>a._(void 0,void 0,void 0,function*(){if(xr(le))throw new Error(`A source type called \"${le}\" already exists.`);((B,Q)=>{Yt[B]=Q})(le,w)}),i.clearPrewarmedResources=function(){let le=ge;le&&(le.isPreloaded()&&le.numActive()===1?(le.release(_e),ge=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},i.getMaxParallelImageRequests=function(){return a.a.MAX_PARALLEL_IMAGE_REQUESTS},i.getRTLTextPluginStatus=function(){return bt().getRTLTextPluginStatus()},i.getVersion=function(){return _c},i.getWorkerCount=function(){return Me.workerCount},i.getWorkerUrl=function(){return a.a.WORKER_URL},i.importScriptInWorkers=function(le){return Ae().broadcast(\"IS\",le)},i.prewarm=function(){Te().acquire(_e)},i.setMaxParallelImageRequests=function(le){a.a.MAX_PARALLEL_IMAGE_REQUESTS=le},i.setRTLTextPlugin=function(le,w){return bt().setRTLTextPlugin(le,w)},i.setWorkerCount=function(le){Me.workerCount=le},i.setWorkerUrl=function(le){a.a.WORKER_URL=le}});var n=e;return n})});var VHe=ye((R1r,UHe)=>{\"use strict\";var iw=Mr(),sjt=Ll().sanitizeHTML,ljt=uJ(),OHe=bx();function BHe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=OHe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ag=BHe.prototype;ag.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=i7(t)};ag.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ag.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ag.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ag.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ag.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ag.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!i7(e)){var r=ujt(e);t.addSource(this.idSource,r)}};ag.findFollowingMapLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(OHe.traceLayerPrefix)===0){e=n;break}}return e};ag.updateLayer=function(e){var t=this.subplot,r=NHe(e),n=this.lookupBelow(),i=this.findFollowingMapLayerId(n);this.removeLayer(),i7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ag.updateStyle=function(e){if(i7(e)){var t=NHe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ag.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ag.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function i7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return iw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function NHe(e){var t={},r={};switch(e.type){case\"circle\":iw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":iw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":iw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=ljt(n.textposition,n.iconsize);iw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),iw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":iw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function ujt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=sjt(e.sourceattribution)),n}UHe.exports=function(t,r,n){var i=new BHe(t,r);return i.update(n),i}});var KHe=ye((D1r,YHe)=>{\"use strict\";var pJ=qHe(),gJ=Mr(),jHe=ix(),HHe=ba(),cjt=Qa(),fjt=gv(),n7=Nc(),WHe=Sg(),hjt=WHe.drawMode,djt=WHe.selectMode,vjt=wf().prepSelect,pjt=wf().clearOutline,gjt=wf().clearSelectionsCache,mjt=wf().selectOnClick,nw=bx(),yjt=VHe();function ZHe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Sh=ZHe.prototype;Sh.plot=function(e,t,r){var n=this,i;n.map?i=new Promise(function(a,o){n.updateMap(e,t,a,o)}):i=new Promise(function(a,o){n.createMap(e,t,a,o)}),r.push(i)};Sh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=XHe(a.style),s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new pJ.Map({container:i.div,style:o.style,center:mJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new pJ.AttributionControl({compact:!0})),c={};u.on(\"styleimagemissing\",function(h){var d=h.id;if(!c[d]&&d.includes(\"-15\")){c[d]=!0;var v=new Image(15,15);v.onload=function(){u.addImage(d,v)},v.crossOrigin=\"Anonymous\",v.src=\"https://unpkg.com/maki@2.1.0/icons/\"+d+\".svg\"}}),u.setTransformRequest(function(h){return h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:h}}),u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var f=[];f.push(new Promise(function(h){u.once(\"load\",h)})),f=f.concat(jHe.fetchTraceGeoData(e)),Promise.all(f).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Sh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=XHe(o.style);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(jHe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Sh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var GHe={choroplethmap:0,densitymap:1,scattermap:2};Sh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return GHe[f[0].trace.type]-GHe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Sh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(mJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.map?t.scrollZoom.enable():t.scrollZoom.disable()};Sh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Sh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(nw.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Sh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},cjt.setConvert(t.mockAxis,e)};Sh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];HHe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l&&l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&n7.hover(n,s,r.id)},n7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){n7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];HHe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(mJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){gjt(r.dragOptions),pjt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&mjt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&n7.click(n,l.originalEvent)}}};Sh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=gJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),djt(a)||hjt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){vjt(l,u,c,t.dragOptions,a)},fjt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Sh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Sh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(yjt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Sh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Sh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Sh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Sh.getMapLayers=function(){return this.map.getStyle().layers};Sh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}gJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Sh.project=function(e){return this.map.project(new pJ.LngLat(e[0],e[1]))};Sh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Sh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Sh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function XHe(e){var t={};return gJ.isPlainObject(e)?(t.id=e.id,t.style=e):typeof e==\"string\"?(t.id=e,nw.stylesMap[e]?t.style=nw.stylesMap[e]:t.style=e):(t.id=nw.styleValueDflt,t.style=_jt(nw.styleValueDflt)),t.transition={duration:0,delay:0},t}function _jt(e){return nw.styleUrlPrefix+e+\"-\"+nw.styleUrlSuffix}function mJ(e){return[e.lon,e.lat]}YHe.exports=ZHe});var QHe=ye((z1r,$He)=>{\"use strict\";var yJ=Mr(),xjt=k_(),bjt=Zd(),JHe=Fk();$He.exports=function(t,r,n){xjt(t,r,n,{type:\"map\",attributes:JHe,handleDefaults:wjt,partition:\"y\"})};function wjt(e,t,r){r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var n=r(\"bounds.west\"),i=r(\"bounds.east\"),a=r(\"bounds.south\"),o=r(\"bounds.north\");(n===void 0||i===void 0||a===void 0||o===void 0)&&delete t.bounds,bjt(e,t,{name:\"layers\",handleItemDefaults:Tjt}),t._input=e}function Tjt(e,t){function r(l,u){return yJ.coerce(e,t,JHe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",yJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),yJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var o7=ye(l0=>{\"use strict\";var a7=Mr(),eGe=a7.strTranslate,Ajt=a7.strScale,Sjt=kd().getSubplotCalcData,Mjt=Zp(),Ejt=xa(),tGe=ao(),kjt=Ll(),Cjt=KHe(),wx=\"map\";l0.name=wx;l0.attr=\"subplot\";l0.idRoot=wx;l0.idRegex=l0.attrRegex=a7.counterRegex(wx);l0.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}};l0.layoutAttributes=Fk();l0.supplyLayoutDefaults=QHe();l0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[wx],a=0;a<i.length;a++){var o=i[a],s=Sjt(n,wx,o),l=r[o],u=l._subplot;u||(u=new Cjt(t,o),r[o]._subplot=u),u.viewInitial||(u.viewInitial={center:a7.extendFlat({},l.center),zoom:l.zoom,bearing:l.bearing,pitch:l.pitch}),u.plot(s,r,t._promises)}};l0.clean=function(e,t,r,n){for(var i=n._subplots[wx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};l0.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[wx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:Mjt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"});var c=Ejt.select(a._subplot.div),f=c.select(\".maplibregl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),h=t._glimages.append(\"g\"),d=h.append(\"text\");d.text(f).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":f});var v=tGe.bBox(d.node()),x=n.w*(o.x[1]-o.x[0]);if(v.width>x/2){var b=f.split(\"|\").join(\"<br>\");d.text(b).attr(\"data-unformatted\",b).call(kjt.convertToTspans,e),v=tGe.bBox(d.node())}d.attr(\"transform\",eGe(-3,-v.height+8)),h.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var g=1;v.width+6>x&&(g=x/(v.width+6));var E=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];h.attr(\"transform\",eGe(E[0],E[1])+Ajt(g))}};l0.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[wx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var iGe=ye((q1r,rGe)=>{\"use strict\";rGe.exports={attributes:JF(),supplyDefaults:pHe(),colorbar:Kd(),formatLabels:lJ(),calc:lz(),plot:CHe(),hoverPoints:r7().hoverPoints,eventData:RHe(),selectPoints:zHe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermap\",basePlotModule:o7(),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var aGe=ye((O1r,nGe)=>{\"use strict\";nGe.exports=iGe()});var _J=ye((B1r,oGe)=>{\"use strict\";var d1=J5(),Ljt=Kl(),Pjt=Wo().hovertemplateAttrs,Ijt=vl(),Tx=no().extendFlat;oGe.exports=Tx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Tx({},d1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:d1.text,hovertext:d1.hovertext,marker:{line:{color:Tx({},d1.marker.line.color,{editType:\"plot\"}),width:Tx({},d1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Tx({},d1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Tx({},d1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Tx({},d1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:d1.hoverinfo,hovertemplate:Pjt({},{keys:[\"properties\"]}),showlegend:Tx({},Ijt.showlegend,{dflt:!1})},Ljt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var lGe=ye((N1r,sGe)=>{\"use strict\";var Nk=Mr(),Rjt=Uh(),Djt=_J();sGe.exports=function(t,r,n,i){function a(c,f){return Nk.coerce(t,r,Djt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!Nk.isArrayOrTypedArray(o)||!o.length||!Nk.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||Nk.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),Rjt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),Nk.coerceSelectionMarkerOpacity(r,a)}});var xJ=ye((U1r,fGe)=>{\"use strict\";var zjt=uo(),v1=Mr(),Fjt=Mu(),qjt=ao(),Ojt=tx().makeBlank,uGe=ix();function Bjt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:Ojt()};if(!r)return a;var o=uGe.extractTraceFeature(e);if(!o)return a;var s=Fjt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;v1.isArrayOrTypedArray(l.opacity)&&(c=function(E){var k=E.mo;return zjt(k)?+v1.constrain(k,0,1):0});var f;v1.isArrayOrTypedArray(u.color)&&(f=function(E){return E.mlc});var h;v1.isArrayOrTypedArray(u.width)&&(h=function(E){return E.mlw});for(var d=0;d<e.length;d++){var v=e[d],x=v.fOut;if(x){var b=x.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=uGe.feature2polygons(x)}}var g=c?{type:\"identity\",property:\"mo\"}:l.opacity;return v1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":g}),v1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":g}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},cGe(e),a}function cGe(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=qjt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=v1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return v1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),v1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}fGe.exports={convert:Bjt,convertOnSelect:cGe}});var gGe=ye((V1r,pGe)=>{\"use strict\";var dGe=xJ().convert,Njt=xJ().convertOnSelect,hGe=bx().traceLayerPrefix;function vGe(e,t){this.type=\"choroplethmap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",hGe+t+\"-fill\"],[\"line\",hGe+t+\"-line\"]],this.below=null}var EA=vGe.prototype;EA.update=function(e){this._update(dGe(e)),e[0].trace._glTrace=this};EA.updateOnSelect=function(e){this._update(Njt(e))};EA._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};EA._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};EA._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};EA.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};pGe.exports=function(t,r){var n=r[0].trace,i=new vGe(t,n.uid),a=i.sourceId,o=dGe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var yGe=ye((H1r,mGe)=>{\"use strict\";mGe.exports={attributes:_J(),supplyDefaults:lGe(),colorbar:S_(),calc:Lz(),plot:gGe(),hoverPoints:Iz(),eventData:Rz(),selectPoints:Dz(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:o7(),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}});var xGe=ye((G1r,_Ge)=>{\"use strict\";_Ge.exports=yGe()});var wJ=ye((j1r,wGe)=>{\"use strict\";var 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xt=Ke.source.column,bt=Ke.circularLinkType,Lt=rt.links.filter(function(dt){return dt.source.column==xt&&dt.circularLinkType==bt});Ke.circularLinkType==\"bottom\"?Lt.sort(Me):Lt.sort(_e);var St=0;Lt.forEach(function(dt,Ht){dt.circularLinkID==Ke.circularLinkID&&(Ke.circularPathData.leftSmallArcRadius=p+Ke.width/2+St,Ke.circularPathData.leftLargeArcRadius=p+Ke.width/2+Ht*ot+St),St=St+dt.width}),xt=Ke.target.column,Lt=rt.links.filter(function(dt){return dt.target.column==xt&&dt.circularLinkType==bt}),Ke.circularLinkType==\"bottom\"?Lt.sort(ge):Lt.sort(ke),St=0,Lt.forEach(function(dt,Ht){dt.circularLinkID==Ke.circularLinkID&&(Ke.circularPathData.rightSmallArcRadius=p+Ke.width/2+St,Ke.circularPathData.rightLargeArcRadius=p+Ke.width/2+Ht*ot+St),St=St+dt.width}),Ke.circularLinkType==\"bottom\"?(Ke.circularPathData.verticalFullExtent=Math.max(Rt,Ke.source.y1,Ke.target.y1)+M+Ke.circularPathData.verticalBuffer,Ke.circularPathData.verticalLeftInnerExtent=Ke.circularPathData.verticalFullExtent-Ke.circularPathData.leftLargeArcRadius,Ke.circularPathData.verticalRightInnerExtent=Ke.circularPathData.verticalFullExtent-Ke.circularPathData.rightLargeArcRadius):(Ke.circularPathData.verticalFullExtent=Yt-M-Ke.circularPathData.verticalBuffer,Ke.circularPathData.verticalLeftInnerExtent=Ke.circularPathData.verticalFullExtent+Ke.circularPathData.leftLargeArcRadius,Ke.circularPathData.verticalRightInnerExtent=Ke.circularPathData.verticalFullExtent+Ke.circularPathData.rightLargeArcRadius)}Ke.circularPathData.leftInnerExtent=Ke.circularPathData.sourceX+Ke.circularPathData.leftNodeBuffer,Ke.circularPathData.rightInnerExtent=Ke.circularPathData.targetX-Ke.circularPathData.rightNodeBuffer,Ke.circularPathData.leftFullExtent=Ke.circularPathData.sourceX+Ke.circularPathData.leftLargeArcRadius+Ke.circularPathData.leftNodeBuffer,Ke.circularPathData.rightFullExtent=Ke.circularPathData.targetX-Ke.circularPathData.rightLargeArcRadius-Ke.circularPathData.rightNodeBuffer}if(Ke.circular)Ke.path=re(Ke);else{var Et=n.linkHorizontal().source(function(dt){var Ht=dt.source.x0+(dt.source.x1-dt.source.x0),$t=dt.y0;return[Ht,$t]}).target(function(dt){var Ht=dt.target.x0,$t=dt.y1;return[Ht,$t]});Ke.path=Et(Ke)}})}function re(rt){var ot=\"\";return rt.circularLinkType==\"top\"?ot=\"M\"+rt.circularPathData.sourceX+\" \"+rt.circularPathData.sourceY+\" L\"+rt.circularPathData.leftInnerExtent+\" \"+rt.circularPathData.sourceY+\" A\"+rt.circularPathData.leftLargeArcRadius+\" \"+rt.circularPathData.leftSmallArcRadius+\" 0 0 0 \"+rt.circularPathData.leftFullExtent+\" \"+(rt.circularPathData.sourceY-rt.circularPathData.leftSmallArcRadius)+\" L\"+rt.circularPathData.leftFullExtent+\" \"+rt.circularPathData.verticalLeftInnerExtent+\" A\"+rt.circularPathData.leftLargeArcRadius+\" \"+rt.circularPathData.leftLargeArcRadius+\" 0 0 0 \"+rt.circularPathData.leftInnerExtent+\" \"+rt.circularPathData.verticalFullExtent+\" L\"+rt.circularPathData.rightInnerExtent+\" \"+rt.circularPathData.verticalFullExtent+\" A\"+rt.circularPathData.rightLargeArcRadius+\" \"+rt.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+rt.circularPathData.rightFullExtent+\" \"+rt.circularPathData.verticalRightInnerExtent+\" L\"+rt.circularPathData.rightFullExtent+\" \"+(rt.circularPathData.targetY-rt.circularPathData.rightSmallArcRadius)+\" A\"+rt.circularPathData.rightLargeArcRadius+\" \"+rt.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+rt.circularPathData.rightInnerExtent+\" \"+rt.circularPathData.targetY+\" L\"+rt.circularPathData.targetX+\" \"+rt.circularPathData.targetY:ot=\"M\"+rt.circularPathData.sourceX+\" \"+rt.circularPathData.sourceY+\" L\"+rt.circularPathData.leftInnerExtent+\" \"+rt.circularPathData.sourceY+\" A\"+rt.circularPathData.leftLargeArcRadius+\" \"+rt.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+rt.circularPathData.leftFullExtent+\" \"+(rt.circularPathData.sourceY+rt.circularPathData.leftSmallArcRadius)+\" L\"+rt.circularPathData.leftFullExtent+\" \"+rt.circularPathData.verticalLeftInnerExtent+\" A\"+rt.circularPathData.leftLargeArcRadius+\" \"+rt.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+rt.circularPathData.leftInnerExtent+\" \"+rt.circularPathData.verticalFullExtent+\" L\"+rt.circularPathData.rightInnerExtent+\" \"+rt.circularPathData.verticalFullExtent+\" A\"+rt.circularPathData.rightLargeArcRadius+\" \"+rt.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+rt.circularPathData.rightFullExtent+\" \"+rt.circularPathData.verticalRightInnerExtent+\" L\"+rt.circularPathData.rightFullExtent+\" \"+(rt.circularPathData.targetY+rt.circularPathData.rightSmallArcRadius)+\" A\"+rt.circularPathData.rightLargeArcRadius+\" \"+rt.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+rt.circularPathData.rightInnerExtent+\" \"+rt.circularPathData.targetY+\" L\"+rt.circularPathData.targetX+\" \"+rt.circularPathData.targetY,ot}function ae(rt,ot){return ie(rt)==ie(ot)?rt.circularLinkType==\"bottom\"?Me(rt,ot):_e(rt,ot):ie(ot)-ie(rt)}function _e(rt,ot){return rt.y0-ot.y0}function Me(rt,ot){return ot.y0-rt.y0}function ke(rt,ot){return rt.y1-ot.y1}function ge(rt,ot){return ot.y1-rt.y1}function ie(rt){return rt.target.column-rt.source.column}function Te(rt){return rt.target.x0-rt.source.x1}function Ee(rt,ot){var Rt=V(rt),kt=Te(ot)/Math.tan(Rt),Ct=nt(rt)==\"up\"?rt.y1+kt:rt.y1-kt;return Ct}function Ae(rt,ot){var Rt=V(rt),kt=Te(ot)/Math.tan(Rt),Ct=nt(rt)==\"up\"?rt.y1-kt:rt.y1+kt;return Ct}function ze(rt,ot,Rt,kt){rt.links.forEach(function(Ct){if(!Ct.circular&&Ct.target.column-Ct.source.column>1){var Yt=Ct.source.column+1,xr=Ct.target.column-1,er=1,Ke=xr-Yt+1;for(er=1;Yt<=xr;Yt++,er++)rt.nodes.forEach(function(xt){if(xt.column==Yt){var bt=er/(Ke+1),Lt=Math.pow(1-bt,3),St=3*bt*Math.pow(1-bt,2),Et=3*Math.pow(bt,2)*(1-bt),dt=Math.pow(bt,3),Ht=Lt*Ct.y0+St*Ct.y0+Et*Ct.y1+dt*Ct.y1,$t=Ht-Ct.width/2,fr=Ht+Ct.width/2,_r;$t>xt.y0&&$t<xt.y1?(_r=xt.y1-$t+10,_r=xt.circularLinkType==\"bottom\"?_r:-_r,xt=me(xt,_r,ot,Rt),rt.nodes.forEach(function(Br){C(Br,kt)==C(xt,kt)||Br.column!=xt.column||Ce(xt,Br)&&me(Br,_r,ot,Rt)})):fr>xt.y0&&fr<xt.y1?(_r=fr-xt.y0+10,xt=me(xt,_r,ot,Rt),rt.nodes.forEach(function(Br){C(Br,kt)==C(xt,kt)||Br.column!=xt.column||Br.y0<xt.y1&&Br.y1>xt.y1&&me(Br,_r,ot,Rt)})):$t<xt.y0&&fr>xt.y1&&(_r=fr-xt.y0+10,xt=me(xt,_r,ot,Rt),rt.nodes.forEach(function(Br){C(Br,kt)==C(xt,kt)||Br.column!=xt.column||Br.y0<xt.y1&&Br.y1>xt.y1&&me(Br,_r,ot,Rt)}))}})}})}function Ce(rt,ot){return rt.y0>ot.y0&&rt.y0<ot.y1||rt.y1>ot.y0&&rt.y1<ot.y1?!0:rt.y0<ot.y0&&rt.y1>ot.y1}function me(rt,ot,Rt,kt){return rt.y0+ot>=Rt&&rt.y1+ot<=kt&&(rt.y0=rt.y0+ot,rt.y1=rt.y1+ot,rt.targetLinks.forEach(function(Ct){Ct.y1=Ct.y1+ot}),rt.sourceLinks.forEach(function(Ct){Ct.y0=Ct.y0+ot})),rt}function Re(rt,ot,Rt,kt){rt.nodes.forEach(function(Ct){kt&&Ct.y+(Ct.y1-Ct.y0)>ot&&(Ct.y=Ct.y-(Ct.y+(Ct.y1-Ct.y0)-ot));var Yt=rt.links.filter(function(Ke){return C(Ke.source,Rt)==C(Ct,Rt)}),xr=Yt.length;xr>1&&Yt.sort(function(Ke,xt){if(!Ke.circular&&!xt.circular){if(Ke.target.column==xt.target.column)return Ke.y1-xt.y1;if(Ge(Ke,xt)){if(Ke.target.column>xt.target.column){var bt=Ae(xt,Ke);return Ke.y1-bt}if(xt.target.column>Ke.target.column){var Lt=Ae(Ke,xt);return Lt-xt.y1}}else return Ke.y1-xt.y1}if(Ke.circular&&!xt.circular)return Ke.circularLinkType==\"top\"?-1:1;if(xt.circular&&!Ke.circular)return xt.circularLinkType==\"top\"?1:-1;if(Ke.circular&&xt.circular)return Ke.circularLinkType===xt.circularLinkType&&Ke.circularLinkType==\"top\"?Ke.target.column===xt.target.column?Ke.target.y1-xt.target.y1:xt.target.column-Ke.target.column:Ke.circularLinkType===xt.circularLinkType&&Ke.circularLinkType==\"bottom\"?Ke.target.column===xt.target.column?xt.target.y1-Ke.target.y1:Ke.target.column-xt.target.column:Ke.circularLinkType==\"top\"?-1:1});var er=Ct.y0;Yt.forEach(function(Ke){Ke.y0=er+Ke.width/2,er=er+Ke.width}),Yt.forEach(function(Ke,xt){if(Ke.circularLinkType==\"bottom\"){var bt=xt+1,Lt=0;for(bt;bt<xr;bt++)Lt=Lt+Yt[bt].width;Ke.y0=Ct.y1-Lt-Ke.width/2}})})}function ce(rt,ot,Rt){rt.nodes.forEach(function(kt){var Ct=rt.links.filter(function(er){return C(er.target,Rt)==C(kt,Rt)}),Yt=Ct.length;Yt>1&&Ct.sort(function(er,Ke){if(!er.circular&&!Ke.circular){if(er.source.column==Ke.source.column)return er.y0-Ke.y0;if(Ge(er,Ke)){if(Ke.source.column<er.source.column){var xt=Ee(Ke,er);return er.y0-xt}if(er.source.column<Ke.source.column){var bt=Ee(er,Ke);return bt-Ke.y0}}else return er.y0-Ke.y0}if(er.circular&&!Ke.circular)return er.circularLinkType==\"top\"?-1:1;if(Ke.circular&&!er.circular)return Ke.circularLinkType==\"top\"?1:-1;if(er.circular&&Ke.circular)return er.circularLinkType===Ke.circularLinkType&&er.circularLinkType==\"top\"?er.source.column===Ke.source.column?er.source.y1-Ke.source.y1:er.source.column-Ke.source.column:er.circularLinkType===Ke.circularLinkType&&er.circularLinkType==\"bottom\"?er.source.column===Ke.source.column?er.source.y1-Ke.source.y1:Ke.source.column-er.source.column:er.circularLinkType==\"top\"?-1:1});var xr=kt.y0;Ct.forEach(function(er){er.y1=xr+er.width/2,xr=xr+er.width}),Ct.forEach(function(er,Ke){if(er.circularLinkType==\"bottom\"){var xt=Ke+1,bt=0;for(xt;xt<Yt;xt++)bt=bt+Ct[xt].width;er.y1=kt.y1-bt-er.width/2}})})}function Ge(rt,ot){return nt(rt)==nt(ot)}function nt(rt){return rt.y0-rt.y1>0?\"up\":\"down\"}function ct(rt,ot){return C(rt.source,ot)==C(rt.target,ot)}function qt(rt,ot,Rt){var kt=rt.nodes,Ct=rt.links,Yt=!1,xr=!1;if(Ct.forEach(function(St){St.circularLinkType==\"top\"?Yt=!0:St.circularLinkType==\"bottom\"&&(xr=!0)}),Yt==!1||xr==!1){var er=t.min(kt,function(St){return St.y0}),Ke=t.max(kt,function(St){return St.y1}),xt=Ke-er,bt=Rt-ot,Lt=bt/xt;kt.forEach(function(St){var Et=(St.y1-St.y0)*Lt;St.y0=(St.y0-er)*Lt,St.y1=St.y0+Et}),Ct.forEach(function(St){St.y0=(St.y0-er)*Lt,St.y1=(St.y1-er)*Lt,St.width=St.width*Lt})}}e.sankeyCircular=T,e.sankeyCenter=u,e.sankeyLeft=o,e.sankeyRight=s,e.sankeyJustify=l,Object.defineProperty(e,\"__esModule\",{value:!0})})});var LJ=ye((o_r,Tje)=>{\"use strict\";Tje.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}});var Fje=ye((s_r,zje)=>{\"use strict\";var Aje=dje(),mWt=(R2(),ab(I2)).interpolateNumber,LA=xa(),Vk=yje(),yWt=wje(),pu=LJ(),PA=id(),aw=va(),_Wt=ao(),p1=Mr(),RJ=p1.strTranslate,xWt=p1.strRotate,DJ=Km(),Hk=DJ.keyFun,x7=DJ.repeat,Lje=DJ.unwrap,Sje=Ll(),bWt=ba(),Pje=Nh(),wWt=Pje.CAP_SHIFT,TWt=Pje.LINE_SPACING,AWt=3;function SWt(e,t,r){var n=Lje(t),i=n.trace,a=i.domain,o=i.orientation===\"h\",s=i.node.pad,l=i.node.thickness,u={justify:Vk.sankeyJustify,left:Vk.sankeyLeft,right:Vk.sankeyRight,center:Vk.sankeyCenter}[i.node.align],c=e.width*(a.x[1]-a.x[0]),f=e.height*(a.y[1]-a.y[0]),h=n._nodes,d=n._links,v=n.circular,x;v?x=yWt.sankeyCircular().circularLinkGap(0):x=Vk.sankey(),x.iterations(pu.sankeyIterations).size(o?[c,f]:[f,c]).nodeWidth(l).nodePadding(s).nodeId(function(V){return V.pointNumber}).nodeAlign(u).nodes(h).links(d);var b=x();x.nodePadding()<s&&p1.warn(\"node.pad was reduced to \",x.nodePadding(),\" to fit within the figure.\");var g,E,k;for(var A in n._groupLookup){var L=parseInt(n._groupLookup[A]),_;for(g=0;g<b.nodes.length;g++)if(b.nodes[g].pointNumber===L){_=b.nodes[g];break}if(_){var C={pointNumber:parseInt(A),x0:_.x0,x1:_.x1,y0:_.y0,y1:_.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};b.nodes.unshift(C),_.childrenNodes.unshift(C)}}function M(){for(g=0;g<b.nodes.length;g++){var V=b.nodes[g],H={},X,G;for(E=0;E<V.targetLinks.length;E++)G=V.targetLinks[E],X=G.source.pointNumber+\":\"+G.target.pointNumber,H.hasOwnProperty(X)||(H[X]=[]),H[X].push(G);var N=Object.keys(H);for(E=0;E<N.length;E++){X=N[E];var W=H[X],re=0,ae={};for(k=0;k<W.length;k++)G=W[k],ae[G.label]||(ae[G.label]=0),ae[G.label]+=G.value,re+=G.value;for(k=0;k<W.length;k++)G=W[k],G.flow={value:re,labelConcentration:ae[G.label]/re,concentration:G.value/re,links:W},G.concentrationscale&&(G.color=PA(G.concentrationscale(G.flow.labelConcentration)))}var _e=0;for(E=0;E<V.sourceLinks.length;E++)_e+=V.sourceLinks[E].value;for(E=0;E<V.sourceLinks.length;E++)G=V.sourceLinks[E],G.concentrationOut=G.value/_e;var Me=0;for(E=0;E<V.targetLinks.length;E++)Me+=V.targetLinks[E].value;for(E=0;E<V.targetLinks.length;E++)G=V.targetLinks[E],G.concenrationIn=G.value/Me}}M();function p(V){V.forEach(function(H){var X,G,N=0,W=H.length,re;for(H.sort(function(ae,_e){return ae.y0-_e.y0}),re=0;re<W;++re)X=H[re],X.y0>=N||(G=N-X.y0,G>1e-6&&(X.y0+=G,X.y1+=G)),N=X.y1+s})}function P(V){var H=V.map(function(_e,Me){return{x0:_e.x0,index:Me}}).sort(function(_e,Me){return _e.x0-Me.x0}),X=[],G=-1,N,W=-1/0,re;for(g=0;g<H.length;g++){var ae=V[H[g].index];ae.x0>W+l&&(G+=1,N=ae.x0),W=ae.x0,X[G]||(X[G]=[]),X[G].push(ae),re=N-ae.x0,ae.x0+=re,ae.x1+=re}return X}if(i.node.x.length&&i.node.y.length){for(g=0;g<Math.min(i.node.x.length,i.node.y.length,b.nodes.length);g++)if(i.node.x[g]&&i.node.y[g]){var T=[i.node.x[g]*c,i.node.y[g]*f];b.nodes[g].x0=T[0]-l/2,b.nodes[g].x1=T[0]+l/2;var F=b.nodes[g].y1-b.nodes[g].y0;b.nodes[g].y0=T[1]-F/2,b.nodes[g].y1=T[1]+F/2}if(i.arrangement===\"snap\"){h=b.nodes;var q=P(h);p(q)}x.update(b)}return{circular:v,key:r,trace:i,guid:p1.randstr(),horizontal:o,width:c,height:f,nodePad:i.node.pad,nodeLineColor:i.node.line.color,nodeLineWidth:i.node.line.width,linkLineColor:i.link.line.color,linkLineWidth:i.link.line.width,linkArrowLength:i.link.arrowlen,valueFormat:i.valueformat,valueSuffix:i.valuesuffix,textFont:i.textfont,translateX:a.x[0]*e.width+e.margin.l,translateY:e.height-a.y[1]*e.height+e.margin.t,dragParallel:o?f:c,dragPerpendicular:o?c:f,arrangement:i.arrangement,sankey:x,graph:b,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function MWt(e,t,r){var n=PA(t.color),i=PA(t.hovercolor),a=t.source.label+\"|\"+t.target.label,o=a+\"__\"+r;return t.trace=e.trace,t.curveNumber=e.trace.index,{circular:e.circular,key:o,traceId:e.key,pointNumber:t.pointNumber,link:t,tinyColorHue:aw.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:aw.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:zJ,linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,linkArrowLength:e.linkArrowLength,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,parent:e,interactionState:e.interactionState,flow:t.flow}}function EWt(e,t){var r=\"\",n=e.width/2,i=e.circularPathData,a=i.sourceX+i.verticalBuffer<i.targetX,o=i.rightFullExtent-i.rightLargeArcRadius-t<=i.leftFullExtent-n,s=Math.abs(i.rightFullExtent-i.leftFullExtent-n)<n;return e.circularLinkType===\"top\"?(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY+n)+\"A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\"L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" L \"+(i.rightFullExtent+n-(i.rightLargeArcRadius-n)-t)+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent-n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.verticalFullExtent+n)+\"L\"+(i.rightFullExtent+n-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent-n-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L \"+(i.rightFullExtent+n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" L \"+(i.targetX-t)+\" \"+(i.targetY-n)+(t>0?\" L 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a=t.dx,o=Math.max(.5,t.dy),s=\"node_\"+t.pointNumber;return t.group&&(s=p1.randstr()),t.trace=e.trace,t.curveNumber=e.trace.index,{index:t.pointNumber,key:s,partOfGroup:t.partOfGroup||!1,group:t.group,traceId:e.key,trace:e.trace,node:t,nodePad:e.nodePad,nodeLineColor:e.nodeLineColor,nodeLineWidth:e.nodeLineWidth,textFont:e.textFont,size:e.horizontal?e.height:e.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:e.horizontal?t.dy/2+1:t.dx/2+1,left:t.originalLayer===1,sizeAcross:e.width,forceLayouts:e.forceLayouts,horizontal:e.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:aw.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,graph:e.graph,arrangement:e.arrangement,uniqueNodeLabelPathId:[e.guid,e.key,s].join(\"_\"),interactionState:e.interactionState,figure:e}}function IJ(e){e.attr(\"transform\",function(t){return RJ(t.node.x0.toFixed(3),t.node.y0.toFixed(3))})}function CWt(e){e.call(IJ)}function Ije(e,t){e.call(CWt),t.attr(\"d\",zJ())}function Mje(e){e.attr(\"width\",function(t){return t.node.x1-t.node.x0}).attr(\"height\",function(t){return t.visibleHeight})}function PJ(e){return e.link.width>1||e.linkLineWidth>0}function Eje(e){var t=RJ(e.translateX,e.translateY);return t+(e.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function kje(e,t,r){e.on(\".basic\",null).on(\"mouseover.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.hover(this,n,t),n.interactionState.hovered=[this,n])}).on(\"mousemove.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.follow(this,n),n.interactionState.hovered=[this,n])}).on(\"mouseout.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.unhover(this,n,t),n.interactionState.hovered=!1)}).on(\"click.basic\",function(n){n.interactionState.hovered&&(r.unhover(this,n,t),n.interactionState.hovered=!1),!n.interactionState.dragInProgress&&!n.partOfGroup&&r.select(this,n,t)})}function LWt(e,t,r,n){var i=LA.behavior.drag().origin(function(a){return{x:a.node.x0+a.visibleWidth/2,y:a.node.y0+a.visibleHeight/2}}).on(\"dragstart\",function(a){if(a.arrangement!==\"fixed\"&&(p1.ensureSingle(n._fullLayout._infolayer,\"g\",\"dragcover\",function(s){n._fullLayout._dragCover=s}),p1.raiseToTop(this),a.interactionState.dragInProgress=a.node,Cje(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),a.arrangement===\"snap\")){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):PWt(e,o,a,n),IWt(e,t,a,o,n)}}).on(\"drag\",function(a){if(a.arrangement!==\"fixed\"){var o=LA.event.x,s=LA.event.y;a.arrangement===\"snap\"?(a.node.x0=o-a.visibleWidth/2,a.node.x1=o+a.visibleWidth/2,a.node.y0=s-a.visibleHeight/2,a.node.y1=s+a.visibleHeight/2):(a.arrangement===\"freeform\"&&(a.node.x0=o-a.visibleWidth/2,a.node.x1=o+a.visibleWidth/2),s=Math.max(0,Math.min(a.size-a.visibleHeight/2,s)),a.node.y0=s-a.visibleHeight/2,a.node.y1=s+a.visibleHeight/2),Cje(a.node),a.arrangement!==\"snap\"&&(a.sankey.update(a.graph),Ije(e.filter(Dje(a)),t))}}).on(\"dragend\",function(a){if(a.arrangement!==\"fixed\"){a.interactionState.dragInProgress=!1;for(var o=0;o<a.node.childrenNodes.length;o++)a.node.childrenNodes[o].x=a.node.x,a.node.childrenNodes[o].y=a.node.y;a.arrangement!==\"snap\"&&Rje(a,n)}});e.on(\".drag\",null).call(i)}function PWt(e,t,r,n){zWt(r.graph.nodes);var i=r.graph.nodes.filter(function(a){return a.originalX===r.node.originalX}).filter(function(a){return!a.partOfGroup});r.forceLayouts[t]=Aje.forceSimulation(i).alphaDecay(0).force(\"collide\",Aje.forceCollide().radius(function(a){return a.dy/2+r.nodePad/2}).strength(1).iterations(pu.forceIterations)).force(\"constrain\",RWt(e,t,i,r,n)).stop()}function IWt(e,t,r,n,i){window.requestAnimationFrame(function a(){var o;for(o=0;o<pu.forceTicksPerFrame;o++)r.forceLayouts[n].tick();var s=r.graph.nodes;if(FWt(s),r.sankey.update(r.graph),Ije(e.filter(Dje(r)),t),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,Rje(r,i)}})}function RWt(e,t,r,n){return function(){for(var a=0,o=0;o<r.length;o++){var s=r[o];s===n.interactionState.dragInProgress?(s.x=s.lastDraggedX,s.y=s.lastDraggedY):(s.vx=(s.originalX-s.x)/pu.forceTicksPerFrame,s.y=Math.min(n.size-s.dy/2,Math.max(s.dy/2,s.y))),a=Math.max(a,Math.abs(s.vx),Math.abs(s.vy))}!n.interactionState.dragInProgress&&a<.1&&n.forceLayouts[t].alpha()>0&&n.forceLayouts[t].alpha(0)}}function Rje(e,t){for(var r=[],n=[],i=0;i<e.graph.nodes.length;i++){var a=(e.graph.nodes[i].x0+e.graph.nodes[i].x1)/2,o=(e.graph.nodes[i].y0+e.graph.nodes[i].y1)/2;r.push(a/e.figure.width),n.push(o/e.figure.height)}bWt.call(\"_guiRestyle\",t,{\"node.x\":[r],\"node.y\":[n]},e.trace.index).then(function(){t._fullLayout._dragCover&&t._fullLayout._dragCover.remove()})}function DWt(e){var t=[],r;for(r=0;r<e.length;r++)e[r].originalX=(e[r].x0+e[r].x1)/2,e[r].originalY=(e[r].y0+e[r].y1)/2,t.indexOf(e[r].originalX)===-1&&t.push(e[r].originalX);for(t.sort(function(n,i){return n-i}),r=0;r<e.length;r++)e[r].originalLayerIndex=t.indexOf(e[r].originalX),e[r].originalLayer=e[r].originalLayerIndex/(t.length-1)}function Cje(e){e.lastDraggedX=e.x0+e.dx/2,e.lastDraggedY=e.y0+e.dy/2}function Dje(e){return function(t){return t.node.originalX===e.node.originalX}}function zWt(e){for(var t=0;t<e.length;t++)e[t].y=(e[t].y0+e[t].y1)/2,e[t].x=(e[t].x0+e[t].x1)/2}function FWt(e){for(var t=0;t<e.length;t++)e[t].y0=e[t].y-e[t].dy/2,e[t].y1=e[t].y0+e[t].dy,e[t].x0=e[t].x-e[t].dx/2,e[t].x1=e[t].x0+e[t].dx}zje.exports=function(e,t,r,n,i){var a=e._context.staticPlot,o=!1;p1.ensureSingle(e._fullLayout._infolayer,\"g\",\"first-render\",function(){o=!0});var s=e._fullLayout._dragCover,l=r.filter(function(b){return Lje(b).trace.visible}).map(SWt.bind(null,n)),u=t.selectAll(\".\"+pu.cn.sankey).data(l,Hk);u.exit().remove(),u.enter().append(\"g\").classed(pu.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",a?\"none\":\"auto\").attr(\"transform\",Eje),u.each(function(b,g){e._fullData[g]._sankey=b;var E=\"bgsankey-\"+b.trace.uid+\"-\"+g;p1.ensureSingle(e._fullLayout._draggers,\"rect\",E),e._fullData[g]._bgRect=LA.select(\".\"+E),e._fullData[g]._bgRect.style(\"pointer-events\",a?\"none\":\"all\").attr(\"width\",b.width).attr(\"height\",b.height).attr(\"x\",b.translateX).attr(\"y\",b.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})}),u.transition().ease(pu.ease).duration(pu.duration).attr(\"transform\",Eje);var c=u.selectAll(\".\"+pu.cn.sankeyLinks).data(x7,Hk);c.enter().append(\"g\").classed(pu.cn.sankeyLinks,!0).style(\"fill\",\"none\");var f=c.selectAll(\".\"+pu.cn.sankeyLink).data(function(b){var g=b.graph.links;return g.filter(function(E){return E.value}).map(MWt.bind(null,b))},Hk);f.enter().append(\"path\").classed(pu.cn.sankeyLink,!0).call(kje,u,i.linkEvents),f.style(\"stroke\",function(b){return PJ(b)?aw.tinyRGB(PA(b.linkLineColor)):b.tinyColorHue}).style(\"stroke-opacity\",function(b){return PJ(b)?aw.opacity(b.linkLineColor):b.tinyColorAlpha}).style(\"fill\",function(b){return b.tinyColorHue}).style(\"fill-opacity\",function(b){return b.tinyColorAlpha}).style(\"stroke-width\",function(b){return PJ(b)?b.linkLineWidth:1}).attr(\"d\",zJ()),f.style(\"opacity\",function(){return e._context.staticPlot||o||s?1:0}).transition().ease(pu.ease).duration(pu.duration).style(\"opacity\",1),f.exit().transition().ease(pu.ease).duration(pu.duration).style(\"opacity\",0).remove();var h=u.selectAll(\".\"+pu.cn.sankeyNodeSet).data(x7,Hk);h.enter().append(\"g\").classed(pu.cn.sankeyNodeSet,!0),h.style(\"cursor\",function(b){switch(b.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}});var d=h.selectAll(\".\"+pu.cn.sankeyNode).data(function(b){var g=b.graph.nodes;return DWt(g),g.map(kWt.bind(null,b))},Hk);d.enter().append(\"g\").classed(pu.cn.sankeyNode,!0).call(IJ).style(\"opacity\",function(b){return(e._context.staticPlot||o)&&!b.partOfGroup?1:0}),d.call(kje,u,i.nodeEvents).call(LWt,f,i,e),d.transition().ease(pu.ease).duration(pu.duration).call(IJ).style(\"opacity\",function(b){return b.partOfGroup?0:1}),d.exit().transition().ease(pu.ease).duration(pu.duration).style(\"opacity\",0).remove();var v=d.selectAll(\".\"+pu.cn.nodeRect).data(x7);v.enter().append(\"rect\").classed(pu.cn.nodeRect,!0).call(Mje),v.style(\"stroke-width\",function(b){return b.nodeLineWidth}).style(\"stroke\",function(b){return aw.tinyRGB(PA(b.nodeLineColor))}).style(\"stroke-opacity\",function(b){return aw.opacity(b.nodeLineColor)}).style(\"fill\",function(b){return b.tinyColorHue}).style(\"fill-opacity\",function(b){return b.tinyColorAlpha}),v.transition().ease(pu.ease).duration(pu.duration).call(Mje);var x=d.selectAll(\".\"+pu.cn.nodeLabel).data(x7);x.enter().append(\"text\").classed(pu.cn.nodeLabel,!0).style(\"cursor\",\"default\"),x.attr(\"data-notex\",1).text(function(b){return b.node.label}).each(function(b){var g=LA.select(this);_Wt.font(g,b.textFont),Sje.convertToTspans(g,e)}).attr(\"text-anchor\",function(b){return b.horizontal&&b.left?\"end\":\"start\"}).attr(\"transform\",function(b){var g=LA.select(this),E=Sje.lineCount(g),k=b.textFont.size*((E-1)*TWt-wWt),A=b.nodeLineWidth/2+AWt,L=((b.horizontal?b.visibleHeight:b.visibleWidth)-k)/2;b.horizontal&&(b.left?A=-A:A+=b.visibleWidth);var _=b.horizontal?\"\":\"scale(-1,1)\"+xWt(90);return RJ(b.horizontal?A:L,b.horizontal?L:A)+_}),x.transition().ease(pu.ease).duration(pu.duration)}});var OJ=ye((l_r,jje)=>{\"use strict\";var Zv=xa(),qJ=Mr(),b7=qJ.numberFormat,qWt=Fje(),IA=Nc(),OWt=va(),Ax=LJ().cn,Gk=qJ._;function qje(e){return e!==\"\"}function RA(e,t){return e.filter(function(r){return r.key===t.traceId})}function Oje(e,t){Zv.select(e).select(\"path\").style(\"fill-opacity\",t),Zv.select(e).select(\"rect\").style(\"fill-opacity\",t)}function Bje(e){Zv.select(e).select(\"text.name\").style(\"fill\",\"black\")}function Nje(e){return function(t){return e.node.sourceLinks.indexOf(t.link)!==-1||e.node.targetLinks.indexOf(t.link)!==-1}}function Uje(e){return function(t){return t.node.sourceLinks.indexOf(e.link)!==-1||t.node.targetLinks.indexOf(e.link)!==-1}}function Vje(e,t,r){t&&r&&RA(r,t).selectAll(\".\"+Ax.sankeyLink).filter(Nje(t)).call(Hje.bind(0,t,r,!1))}function FJ(e,t,r){t&&r&&RA(r,t).selectAll(\".\"+Ax.sankeyLink).filter(Nje(t)).call(Gje.bind(0,t,r,!1))}function 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Wje=ye(ow=>{\"use strict\";var BWt=Bu().overrideAll,NWt=kd().getModuleCalcData,UWt=OJ(),VWt=B1(),HWt=Tg(),GWt=gv(),jWt=wf().prepSelect,BJ=Mr(),WWt=ba(),w7=\"sankey\";ow.name=w7;ow.baseLayoutAttrOverrides=BWt({hoverlabel:VWt.hoverlabel},\"plot\",\"nested\");ow.plot=function(e){var t=NWt(e.calcdata,w7)[0];UWt(e,t),ow.updateFx(e)};ow.clean=function(e,t,r,n){var i=n._has&&n._has(w7),a=t._has&&t._has(w7);i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())};ow.updateFx=function(e){for(var t=0;t<e._fullData.length;t++)ZWt(e,t)};function ZWt(e,t){var r=e._fullData[t],n=e._fullLayout,i=n.dragmode,a=n.dragmode===\"pan\"?\"move\":\"crosshair\",o=r._bgRect;if(o&&!(i===\"pan\"||i===\"zoom\")){HWt(o,a);var s={_id:\"x\",c2p:BJ.identity,_offset:r._sankey.translateX,_length:r._sankey.width},l={_id:\"y\",c2p:BJ.identity,_offset:r._sankey.translateY,_length:r._sankey.height},u={gd:e,element:o.node(),plotinfo:{id:t,xaxis:s,yaxis:l,fillRangeItems:BJ.noop},subplot:t,xaxes:[s],yaxes:[l],doneFnCompleted:function(c){var f=e._fullData[t],h,d=f.node.groups.slice(),v=[];function x(k){for(var A=f._sankey.graph.nodes,L=0;L<A.length;L++)if(A[L].pointNumber===k)return A[L]}for(var b=0;b<c.length;b++){var g=x(c[b].pointNumber);if(g)if(g.group){for(var E=0;E<g.childrenNodes.length;E++)v.push(g.childrenNodes[E].pointNumber);d[g.pointNumber-f.node._count]=!1}else v.push(g.pointNumber)}h=d.filter(Boolean).concat([v]),WWt.call(\"_guiRestyle\",e,{\"node.groups\":[h]},t)}};u.prepFn=function(c,f,h){jWt(c,f,h,u,i)},GWt.init(u)}}});var Xje=ye((c_r,Zje)=>{\"use strict\";Zje.exports=function(t,r){for(var n=t.cd,i=[],a=n[0].trace,o=a._sankey.graph.nodes,s=0;s<o.length;s++){var l=o[s];if(!l.partOfGroup){var 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VJ=ye((p_r,sWe)=>{\"use strict\";sWe.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}});var cWe=ye((g_r,uWe)=>{\"use strict\";var ey=Mr(),S7=UJ(),$Wt=Ju().defaults,lWe=Vs(),QWt=Zd(),A7=VJ(),eZt=xb(),tZt=T3(),rZt=e_(),iZt=t_();function nZt(e,t,r,n){function i(_,C){return ey.coerce(e,t,S7,_,C)}$Wt(t,n,i),i(\"mode\"),t._hasNumber=t.mode.indexOf(\"number\")!==-1,t._hasDelta=t.mode.indexOf(\"delta\")!==-1,t._hasGauge=t.mode.indexOf(\"gauge\")!==-1;var a=i(\"value\");t._range=[0,typeof a==\"number\"?1.5*a:1];var o=new Array(2),s;if(t._hasNumber){i(\"number.valueformat\");var l=ey.extendFlat({},n.font);l.size=void 0,ey.coerceFont(i,\"number.font\",l),t.number.font.size===void 0&&(t.number.font.size=A7.defaultNumberFontSize,o[0]=!0),i(\"number.prefix\"),i(\"number.suffix\"),s=t.number.font.size}var u;if(t._hasDelta){var c=ey.extendFlat({},n.font);c.size=void 0,ey.coerceFont(i,\"delta.font\",c),t.delta.font.size===void 0&&(t.delta.font.size=(t._hasNumber?.5:1)*(s||A7.defaultNumberFontSize),o[1]=!0),i(\"delta.reference\",t.value),i(\"delta.relative\"),i(\"delta.valueformat\",t.delta.relative?\"2%\":\"\"),i(\"delta.increasing.symbol\"),i(\"delta.increasing.color\"),i(\"delta.decreasing.symbol\"),i(\"delta.decreasing.color\"),i(\"delta.position\"),i(\"delta.prefix\"),i(\"delta.suffix\"),u=t.delta.font.size}t._scaleNumbers=(!t._hasNumber||o[0])&&(!t._hasDelta||o[1])||!1;var f=ey.extendFlat({},n.font);f.size=.25*(s||u||A7.defaultNumberFontSize),ey.coerceFont(i,\"title.font\",f),i(\"title.text\");var h,d,v,x;function b(_,C){return ey.coerce(h,d,S7.gauge,_,C)}function g(_,C){return ey.coerce(v,x,S7.gauge.axis,_,C)}if(t._hasGauge){h=e.gauge,h||(h={}),d=lWe.newContainer(t,\"gauge\"),b(\"shape\");var E=t._isBullet=t.gauge.shape===\"bullet\";E||i(\"title.align\",\"center\");var k=t._isAngular=t.gauge.shape===\"angular\";k||i(\"align\",\"center\"),b(\"bgcolor\",n.paper_bgcolor),b(\"borderwidth\"),b(\"bordercolor\"),b(\"bar.color\"),b(\"bar.line.color\"),b(\"bar.line.width\");var A=A7.valueThickness*(t.gauge.shape===\"bullet\"?.5:1);b(\"bar.thickness\",A),QWt(h,d,{name:\"steps\",handleItemDefaults:aZt}),b(\"threshold.value\"),b(\"threshold.thickness\"),b(\"threshold.line.width\"),b(\"threshold.line.color\"),v={},h&&(v=h.axis||{}),x=lWe.newContainer(d,\"axis\"),g(\"visible\"),t._range=g(\"range\",t._range);var L={font:n.font,noAutotickangles:!0,outerTicks:!0,noTicklabelshift:!0,noTicklabelstandoff:!0};eZt(v,x,g,\"linear\"),iZt(v,x,g,\"linear\",L),rZt(v,x,g,\"linear\",L),tZt(v,x,g,L)}else i(\"title.align\",\"center\"),i(\"align\",\"center\"),t._isAngular=t._isBullet=!1;t._length=null}function aZt(e,t){function r(n,i){return ey.coerce(e,t,S7.gauge.steps,n,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}uWe.exports={supplyDefaults:nZt}});var hWe=ye((m_r,fWe)=>{\"use strict\";function oZt(e,t){var r=[],n=t.value;typeof t._lastValue!=\"number\"&&(t._lastValue=t.value);var i=t._lastValue,a=i;return t._hasDelta&&typeof t.delta.reference==\"number\"&&(a=t.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}fWe.exports={calc:oZt}});var yWe=ye((y_r,mWe)=>{\"use strict\";var fw=xa(),sZt=(R2(),ab(I2)).interpolate,dWe=(R2(),ab(I2)).interpolateNumber,Mx=Mr(),lZt=Mx.strScale,Zk=Mx.strTranslate,uZt=Mx.rad2deg,cZt=Nh().MID_SHIFT,cw=ao(),sw=VJ(),E7=Ll(),av=Qa(),fZt=JM(),hZt=rI(),dZt=Cd(),zA=va(),HJ={left:\"start\",center:\"middle\",right:\"end\"},lw={left:0,center:.5,right:1},vWe=/[yzafpnµmkMGTPEZY]/;function Xk(e){return e&&e.duration>0}mWe.exports=function(t,r,n,i){var 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P=r.filter(function(){return i.gauge.threshold.value||i.gauge.threshold.value===0}),T=a.selectAll(\"g.threshold-bullet\").data(P);T.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),T.select(\"line\").attr(\"x1\",d.c2p(i.gauge.threshold.value)).attr(\"x2\",d.c2p(i.gauge.threshold.value)).attr(\"y1\",(1-i.gauge.threshold.thickness)/2*E).attr(\"y2\",(1-(1-i.gauge.threshold.thickness)/2)*E).call(zA.stroke,i.gauge.threshold.line.color).style(\"stroke-width\",i.gauge.threshold.line.width),T.exit().remove();var F=a.selectAll(\"g.gauge-outline\").data([l]);F.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),F.select(\"rect\").call(_).call(uw),F.exit().remove()}function pZt(e,t,r,n){var i=r[0].trace,a=n.size,o=n.radius,s=n.innerRadius,l=n.gaugeBg,u=n.gaugeOutline,c=[a.l+a.w/2,a.t+a.h/2+o/2],f=n.gauge,h=n.layer,d=n.transitionOpts,v=n.onComplete,x=Math.PI/2;function b(_e){var Me=i.gauge.axis.range[0],ke=i.gauge.axis.range[1],ge=(_e-Me)/(ke-Me)*Math.PI-x;return ge<-x?-x:ge>x?x:ge}function g(_e){return fw.svg.arc().innerRadius((s+o)/2-_e/2*(o-s)).outerRadius((s+o)/2+_e/2*(o-s)).startAngle(-x)}function E(_e){_e.attr(\"d\",function(Me){return g(Me.thickness).startAngle(b(Me.range[0])).endAngle(b(Me.range[1]))()})}var k,A,L,_;f.enter().append(\"g\").classed(\"angular\",!0),f.attr(\"transform\",Zk(c[0],c[1])),h.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),h.selectAll(\"g.xangularaxistick,path,text\").remove(),k=Wk(e,i.gauge.axis),k.type=\"linear\",k.range=i.gauge.axis.range,k._id=\"xangularaxis\",k.ticklabeloverflow=\"allow\",k.setScale();var C=function(_e){return(k.range[0]-_e.x)/(k.range[1]-k.range[0])*Math.PI+Math.PI},M={},p=av.makeLabelFns(k,0),P=p.labelStandoff;M.xFn=function(_e){var Me=C(_e);return Math.cos(Me)*P},M.yFn=function(_e){var 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A=i.mode+i.align,L;if(i._hasDelta&&(L=k(),A+=i.delta.position+i.delta.font.size+i.delta.font.family+i.delta.valueformat,A+=i.delta.increasing.symbol+i.delta.decreasing.symbol,v=d),i._hasNumber&&(E(),A+=i.number.font.size+i.number.font.family+i.number.valueformat+i.number.suffix+i.number.prefix,v=h),i._hasDelta&&i._hasNumber){var 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r=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),n=t/r;return[n,e,t]}function gWe(e,t,r,n){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),a=fw.select(i);return a.text(e).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",e).call(E7.convertToTspans,n).call(cw.font,t),cw.bBox(a.node())}function M7(e,t,r,n,i,a){var o=\"_cache\"+t;e[o]&&e[o].key===i||(e[o]={key:i,value:r});var s=Mx.aggNums(a,null,[e[o].value,n],2);return e[o].value=s,s}});var xWe=ye((__r,_We)=>{\"use strict\";_We.exports={moduleType:\"trace\",name:\"indicator\",basePlotModule:eWe(),categories:[\"svg\",\"noOpacity\",\"noHover\"],animatable:!0,attributes:UJ(),supplyDefaults:cWe().supplyDefaults,calc:hWe().calc,plot:yWe(),meta:{}}});var wWe=ye((x_r,bWe)=>{\"use strict\";bWe.exports=xWe()});var GJ=ye((w_r,MWe)=>{\"use strict\";var 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mKe(e,t,r){this.isSmith=r||!1,this.id=t,this.gd=e,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=e._fullLayout,i=\"clip\"+n._uid+t;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",t),this.getHole=function(a){return this.isSmith?0:a.hole},this.getSector=function(a){return this.isSmith?[0,360]:a.sector},this.getRadial=function(a){return this.isSmith?a.realaxis:a.radialaxis},this.getAngular=function(a){return this.isSmith?a.imaginaryaxis:a.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var Fd=mKe.prototype;xKe.exports=function(t,r,n){return new mKe(t,r,n)};Fd.plot=function(e,t){for(var r=this,n=t[r.id],i=!1,a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){i=!0;break}}r._hasClipOnAxisFalse=i,r.updateLayers(t,n),r.updateLayout(t,n),mKt.generalUpdatePerTraceModule(r.gd,r,e,n),r.updateFx(t,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)};Fd.updateLayers=function(e,t){var r=this,n=r.isSmith,i=r.layers,a=r.getRadial(t),o=r.getAngular(t),s=Cx.layerNames,l=s.indexOf(\"frontplot\"),u=s.slice(0,l),c=o.layer===\"below traces\",f=a.layer===\"below traces\";c&&u.push(\"angular-line\"),f&&u.push(\"radial-line\"),c&&u.push(\"angular-axis\"),f&&u.push(\"radial-axis\"),u.push(\"frontplot\"),c||u.push(\"angular-line\"),f||u.push(\"radial-line\"),c||u.push(\"angular-axis\"),f||u.push(\"radial-axis\");var h=(n?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+h).data(u,String);d.enter().append(\"g\").attr(\"class\",function(v){return h+\" \"+v}).each(function(v){var 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X=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",X).attr(\"transform\",dd(F,q)),n.frontplot.attr(\"transform\",dd(_,C)).call(tC.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",X).attr(\"transform\",dd(P,T)).call(L$.fill,t.bgcolor)};Fd.mockAxis=function(e,t,r,n){var i=cc.extendFlat({},r,n);return _Kt(i,t,e),i};Fd.mockCartesianAxis=function(e,t,r){var n=this,i=n.isSmith,a=r._id,o=cc.extendFlat({type:\"linear\"},r);yKt(o,e);var s={x:[0,2],y:[1,3]};return o.setRange=function(){var l=n.sectorBBox,u=s[a],c=n.radialAxis._rl,f=(c[1]-c[0])/(1-n.getHole(t));o.range=[l[u[0]]*f,l[u[1]]*f]},o.isPtWithinRange=a===\"x\"&&!i?function(l){return n.isPtInside(l)}:function(){return!0},o.setRange(),o.setScale(),o};Fd.doAutoRange=function(e,t){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(t);xKt(n,i);var o=i.range;if(a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")],i.minallowed!==void 0){var s=i.r2l(i.minallowed);i._rl[0]>i._rl[1]?i._rl[1]=Math.max(i._rl[1],s):i._rl[0]=Math.max(i._rl[0],s)}if(i.maxallowed!==void 0){var l=i.r2l(i.maxallowed);i._rl[0]<i._rl[1]?i._rl[1]=Math.min(i._rl[1],l):i._rl[0]=Math.min(i._rl[0],l)}};Fd.updateRadialAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getRadial(t),c=gKe(r.getSector(t)[0],360),f=r.radialAxis,h=o<a,d=r.isSmith;d||(r.fillViewInitialKey(\"radialaxis.angle\",u.angle),r.fillViewInitialKey(\"radialaxis.range\",f.range.slice()),f.setGeometry()),f.tickangle===\"auto\"&&c>90&&c<=270&&(f.tickangle=180);var v=d?function(M){var p=o9(r,a9([M.x,0]));return dd(p[0]-s,p[1]-l)}:function(M){return dd(f.l2p(M.x)+o,0)},x=d?function(M){return MKt(r,M.x,-1/0,1/0)}:function(M){return r.pathArc(f.r2p(M.x)+o)},b=yKe(u);if(r.radialTickLayout!==b&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=b),h){f.setScale();var g=0,E=d?(f.tickvals||[]).filter(function(M){return M>=0}).map(function(M){return dp.tickText(f,M,!0,!1)}):dp.calcTicks(f),k=d?E:dp.clipEnds(f,E),A=dp.getTickSigns(f)[2];d&&((f.ticks===\"top\"&&f.side===\"bottom\"||f.ticks===\"bottom\"&&f.side===\"top\")&&(A=-A),f.ticks===\"top\"&&f.side===\"top\"&&(g=-f.ticklen),f.ticks===\"bottom\"&&f.side===\"bottom\"&&(g=f.ticklen)),dp.drawTicks(n,f,{vals:E,layer:i[\"radial-axis\"],path:dp.makeTickPath(f,0,A),transFn:v,crisp:!1}),dp.drawGrid(n,f,{vals:k,layer:i[\"radial-grid\"],path:x,transFn:cc.noop,crisp:!1}),dp.drawLabels(n,f,{vals:E,layer:i[\"radial-axis\"],transFn:v,labelFns:dp.makeLabelFns(f,g)})}var L=r.radialAxisAngle=r.vangles?pw(_Ke(Lx(u.angle),r.vangles)):u.angle,_=dd(s,l),C=_+ry(-L);rC(i[\"radial-axis\"],h&&(u.showticklabels||u.ticks),{transform:C}),rC(i[\"radial-grid\"],h&&u.showgrid,{transform:d?\"\":_}),rC(i[\"radial-line\"].select(\"line\"),h&&u.showline,{x1:d?-a:o,y1:0,x2:a,y2:0,transform:C}).attr(\"stroke-width\",u.linewidth).call(L$.stroke,u.linecolor)};Fd.updateRadialAxisTitle=function(e,t,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(t),u=n.id+\"title\",c=0;if(l.title){var f=tC.bBox(n.layers[\"radial-axis\"].node()).height,h=l.title.font.size,d=l.side;c=d===\"top\"?h:d===\"counterclockwise\"?-(f+h*.4):f+h*.8}var v=r!==void 0?r:n.radialAxisAngle,x=Lx(v),b=Math.cos(x),g=Math.sin(x),E=o+a/2*b+c*g,k=s-a/2*g+c*b;n.layers[\"radial-axis-title\"]=bKt.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title\",placeholder:EKt(i,\"Click to enter radial axis 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W$(e,t,r,n){if(this._calendar=e,this._year=t,this._month=r,this._day=n,this._calendar._validateLevel===0&&!this._calendar.isValid(this._year,this._month,this._day))throw(Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function w9(e,t){return e=\"\"+e,\"000000\".substring(0,t-e.length)+e}T9(W$.prototype,{newDate:function(e,t,r){return this._calendar.newDate(e==null?this:e,t,r)},year:function(e){return arguments.length===0?this._year:this.set(e,\"y\")},month:function(e){return arguments.length===0?this._month:this.set(e,\"m\")},day:function(e){return arguments.length===0?this._day:this.set(e,\"d\")},date:function(e,t,r){if(!this._calendar.isValid(e,t,r))throw(Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=e,this._month=t,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(e,t){return this._calendar.add(this,e,t)},set:function(e,t){return this._calendar.set(this,e,t)},compareTo:function(e){if(this._calendar.name!==e._calendar.name)throw(Es.local.differentCalendars||Es.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,e._calendar.local.name);var t=this._year!==e._year?this._year-e._year:this._month!==e._month?this.monthOfYear()-e.monthOfYear():this._day-e._day;return t===0?0:t<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(e){return this._calendar.fromJD(e)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(e){return this._calendar.fromJSDate(e)},toString:function(){return(this.year()<0?\"-\":\"\")+w9(Math.abs(this.year()),4)+\"-\"+w9(this.month(),2)+\"-\"+w9(this.day(),2)}});function Z$(){this.shortYearCutoff=\"+10\"}T9(Z$.prototype,{_validateLevel:0,newDate:function(e,t,r){return e==null?this.today():(e.year&&(this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),r=e.day(),t=e.month(),e=e.year()),new W$(this,e,t,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return t.year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return(t.year()<0?\"-\":\"\")+w9(Math.abs(t.year()),4)},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(e,t){var r=this._validate(e,t,this.minDay,Es.local.invalidMonth||Es.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(e,t){var r=(t+this.firstMonth-2*this.minMonth)%this.monthsInYear(e)+this.minMonth;return this._validate(e,r,this.minDay,Es.local.invalidMonth||Es.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return this.leapYear(t)?366:365},dayOfYear:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(e,t,r){return this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),{}},add:function(e,t,r){return this._validate(e,this.minMonth,this.minDay,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),this._correctAdd(e,this._add(e,t,r),t,r)},_add:function(e,t,r){if(this._validateLevel++,r===\"d\"||r===\"w\"){var n=e.toJD()+t*(r===\"w\"?this.daysInWeek():1),i=e.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=e.year()+(r===\"y\"?t:0),o=e.monthOfYear()+(r===\"m\"?t:0),i=e.day(),s=function(c){for(;o<c.minMonth;)a--,o+=c.monthsInYear(a);for(var f=c.monthsInYear(a);o>f-1+c.minMonth;)a++,o-=f,f=c.monthsInYear(a)};r===\"y\"?(e.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,e.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):r===\"m\"&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(u){throw this._validateLevel--,u}},_correctAdd:function(e,t,r,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(t[0]===0||e.year()>0!=t[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;t=this._add(e,r*i[0]+a*i[1],i[2])}return e.date(t[0],t[1],t[2])},set:function(e,t,r){this._validate(e,this.minMonth,this.minDay,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);var n=r===\"y\"?t:e.year(),i=r===\"m\"?t:e.month(),a=r===\"d\"?t:e.day();return(r===\"y\"||r===\"m\")&&(a=Math.min(a,this.daysInMonth(n,i))),e.date(n,i,a)},isValid:function(e,t,r){this._validateLevel++;var n=this.hasYearZero||e!==0;if(n){var i=this.newDate(e,t,this.minDay);n=t>=this.minMonth&&t-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);return Es.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(e){return this.fromJD(Es.instance().fromJSDate(e).toJD())},_validate:function(e,t,r,n){if(e.year){if(this._validateLevel===0&&this.name!==e.calendar().name)throw(Es.local.differentCalendars||Es.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,e.calendar().local.name);return e}try{if(this._validateLevel++,this._validateLevel===1&&!this.isValid(e,t,r))throw n.replace(/\\{0\\}/,this.local.name);var i=this.newDate(e,t,r);return this._validateLevel--,i}catch(a){throw this._validateLevel--,a}}});function X$(e){this.local=this.regionalOptions[e]||this.regionalOptions[\"\"]}X$.prototype=new Z$;T9(X$.prototype,{name:\"Gregorian\",jdEpoch:17214255e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Gregorian\",epochs:[\"BCE\",\"CE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===0&&(r%100!==0||r%400===0)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Es.local.invalidMonth||Es.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<3&&(t+=12,e--);var i=Math.floor(e/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r+a-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=Math.floor((t-186721625e-2)/36524.25);r=t+1+r-Math.floor(r/4);var n=r+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(o*30.6001),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(e){return this.newDate(e.getFullYear(),e.getMonth()+1,e.getDate())}});var Es=y$e.exports=new m$e;Es.cdate=W$;Es.baseCalendar=Z$;Es.calendars.gregorian=X$});var _$e=ye(()=>{var Y$=bh(),qd=Sv();Y$(qd.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"});qd.local=qd.regionalOptions[\"\"];Y$(qd.cdate.prototype,{formatDate:function(e,t){return typeof e!=\"string\"&&(t=e,e=\"\"),this._calendar.formatDate(e||\"\",this,t)}});Y$(qd.baseCalendar.prototype,{UNIX_EPOCH:qd.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:24*60*60,TICKS_EPOCH:qd.instance().jdEpoch,TICKS_PER_DAY:24*60*60*1e7,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(e,t,r){if(typeof e!=\"string\"&&(r=t,t=e,e=\"\"),!t)return\"\";if(t.calendar()!==this)throw qd.local.invalidFormat||qd.regionalOptions[\"\"].invalidFormat;e=e||this.local.dateFormat,r=r||{};for(var n=r.dayNamesShort||this.local.dayNamesShort,i=r.dayNames||this.local.dayNames,a=r.monthNumbers||this.local.monthNumbers,o=r.monthNamesShort||this.local.monthNamesShort,s=r.monthNames||this.local.monthNames,l=r.calculateWeek||this.local.calculateWeek,u=function(A,L){for(var _=1;k+_<e.length&&e.charAt(k+_)===A;)_++;return k+=_-1,Math.floor(_/(L||1))>1},c=function(A,L,_,C){var M=\"\"+L;if(u(A,C))for(;M.length<_;)M=\"0\"+M;return M},f=function(A,L,_,C){return u(A)?C[L]:_[L]},h=this,d=function(A){return typeof a==\"function\"?a.call(h,A,u(\"m\")):b(c(\"m\",A.month(),2))},v=function(A,L){return L?typeof s==\"function\"?s.call(h,A):s[A.month()-h.minMonth]:typeof o==\"function\"?o.call(h,A):o[A.month()-h.minMonth]},x=this.local.digits,b=function(A){return r.localNumbers&&x?x(A):A},g=\"\",E=!1,k=0;k<e.length;k++)if(E)e.charAt(k)===\"'\"&&!u(\"'\")?E=!1:g+=e.charAt(k);else switch(e.charAt(k)){case\"d\":g+=b(c(\"d\",t.day(),2));break;case\"D\":g+=f(\"D\",t.dayOfWeek(),n,i);break;case\"o\":g+=c(\"o\",t.dayOfYear(),3);break;case\"w\":g+=c(\"w\",t.weekOfYear(),2);break;case\"m\":g+=d(t);break;case\"M\":g+=v(t,u(\"M\"));break;case\"y\":g+=u(\"y\",2)?t.year():(t.year()%100<10?\"0\":\"\")+t.year()%100;break;case\"Y\":u(\"Y\",2),g+=t.formatYear();break;case\"J\":g+=t.toJD();break;case\"@\":g+=(t.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":g+=(t.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":u(\"'\")?g+=\"'\":E=!0;break;default:g+=e.charAt(k)}return g},parseDate:function(e,t,r){if(t==null)throw qd.local.invalidArguments||qd.regionalOptions[\"\"].invalidArguments;if(t=typeof t==\"object\"?t.toString():t+\"\",t===\"\")return null;e=e||this.local.dateFormat,r=r||{};var n=r.shortYearCutoff||this.shortYearCutoff;n=typeof n!=\"string\"?n:this.today().year()%100+parseInt(n,10);for(var i=r.dayNamesShort||this.local.dayNamesShort,a=r.dayNames||this.local.dayNames,o=r.parseMonth||this.local.parseMonth,s=r.monthNumbers||this.local.monthNumbers,l=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,c=-1,f=-1,h=-1,d=-1,v=-1,x=!1,b=!1,g=function(F,q){for(var V=1;p+V<e.length&&e.charAt(p+V)===F;)V++;return p+=V-1,Math.floor(V/(q||1))>1},E=function(F,q){var V=g(F,q),H=[2,3,V?4:2,V?4:2,10,11,20][\"oyYJ@!\".indexOf(F)+1],X=new RegExp(\"^-?\\\\d{1,\"+H+\"}\"),G=t.substring(M).match(X);if(!G)throw(qd.local.missingNumberAt||qd.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,M);return M+=G[0].length,parseInt(G[0],10)},k=this,A=function(){if(typeof s==\"function\"){g(\"m\");var F=s.call(k,t.substring(M));return M+=F.length,F}return E(\"m\")},L=function(F,q,V,H){for(var X=g(F,H)?V:q,G=0;G<X.length;G++)if(t.substr(M,X[G].length).toLowerCase()===X[G].toLowerCase())return M+=X[G].length,G+k.minMonth;throw(qd.local.unknownNameAt||qd.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,M)},_=function(){if(typeof u==\"function\"){var F=g(\"M\")?u.call(k,t.substring(M)):l.call(k,t.substring(M));return M+=F.length,F}return L(\"M\",l,u)},C=function(){if(t.charAt(M)!==e.charAt(p))throw(qd.local.unexpectedLiteralAt||qd.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,M);M++},M=0,p=0;p<e.length;p++)if(b)e.charAt(p)===\"'\"&&!g(\"'\")?b=!1:C();else switch(e.charAt(p)){case\"d\":d=E(\"d\");break;case\"D\":L(\"D\",i,a);break;case\"o\":v=E(\"o\");break;case\"w\":E(\"w\");break;case\"m\":h=A();break;case\"M\":h=_();break;case\"y\":var P=p;x=!g(\"y\",2),p=P,f=E(\"y\",2);break;case\"Y\":f=E(\"Y\",2);break;case\"J\":c=E(\"J\")+.5,t.charAt(M)===\".\"&&(M++,E(\"J\"));break;case\"@\":c=E(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":c=E(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":M=t.length;break;case\"'\":g(\"'\")?C():b=!0;break;default:C()}if(M<t.length)throw qd.local.unexpectedText||qd.regionalOptions[\"\"].unexpectedText;if(f===-1?f=this.today().year():f<100&&x&&(f+=n===-1?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),typeof h==\"string\"&&(h=o.call(this,f,h)),v>-1){h=1,d=v;for(var T=this.daysInMonth(f,h);d>T;T=this.daysInMonth(f,h))h++,d-=T}return c>-1?this.fromJD(c):this.newDate(f,h,d)},determineDate:function(e,t,r,n,i){r&&typeof r!=\"object\"&&(i=n,n=r,r=null),typeof n!=\"string\"&&(i=n,n=\"\");var a=this,o=function(s){try{return a.parseDate(n,s,i)}catch(f){}s=s.toLowerCase();for(var 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e=n.year()+(n.year()<0?1:0),t=n.month(),r=n.day(),r+(t>1?16:0)+(t>2?(t-2)*32:0)+(e-1)*400+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e+.5)-Math.floor(this.jdEpoch)-1;var t=Math.floor(e/400)+1;e-=(t-1)*400,e+=e>15?16:0;var r=Math.floor(e/32)+1,n=e-(r-1)*32+1;return this.newDate(t<=0?t-1:t,r,n)}});var aQt={20:\"Fruitbat\",21:\"Anchovy\"};b1.calendars.discworld=$$});var T$e=ye(()=>{var xw=Sv(),oQt=bh();function Q$(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}Q$.prototype=new 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eQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}eQ.prototype=new qx.baseCalendar;sQt(eQ.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear);return this._leapYear(t.year())},_leapYear:function(e){return e=e<0?e+1:e,S9(e*7+1,19)<7},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear),this._leapYear(e.year?e.year():e)?13:12},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear);return e=t.year(),this.toJD(e===-1?1:e+1,7,1)-this.toJD(e,7,1)},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,qx.local.invalidMonth),t===12&&this.leapYear(e)||t===8&&S9(this.daysInYear(e),10)===5?30:t===9&&S9(this.daysInYear(e),10)===3?29:this.daysPerMonth[t-1]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,qx.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(e,t,r){var n=this._validate(e,t,r,qx.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e<=0?e+1:e,a=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(t<7){for(var o=7;o<=this.monthsInYear(e);o++)a+=this.daysInMonth(e,o);for(var o=1;o<t;o++)a+=this.daysInMonth(e,o)}else for(var o=7;o<t;o++)a+=this.daysInMonth(e,o);return a},_delay1:function(e){var t=Math.floor((235*e-234)/19),r=12084+13753*t,n=t*29+Math.floor(r/25920);return S9(3*(n+1),7)<3&&n++,n},_delay2:function(e){var t=this._delay1(e-1),r=this._delay1(e),n=this._delay1(e+1);return n-r===356?2:r-t===382?1:0},fromJD:function(e){e=Math.floor(e)+.5;for(var t=Math.floor((e-this.jdEpoch)*98496/35975351)-1;e>=this.toJD(t===-1?1:t+1,7,1);)t++;for(var r=e<this.toJD(t,1,1)?7:1;e>this.toJD(t,r,this.daysInMonth(t,r));)r++;var n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});function S9(e,t){return e-t*Math.floor(e/t)}qx.calendars.hebrew=eQ});var S$e=ye(()=>{var nC=Sv(),lQt=bh();function tQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}tQ.prototype=new nC.baseCalendar;lQt(tQ.prototype,{name:\"Islamic\",jdEpoch:19484395e-1,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012Bs\",\"Yawm al-jum'a\",\"Yawm 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t=Math.floor((30*(e-this.jdEpoch)+10646)/10631);t=t<=0?t-1:t;var r=Math.min(12,Math.ceil((e-29-this.toJD(t,1,1))/29.5)+1),n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});nC.calendars.islamic=tQ});var M$e=ye(()=>{var aC=Sv(),uQt=bh();function rQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}rQ.prototype=new aC.baseCalendar;uQt(rQ.prototype,{name:\"Julian\",jdEpoch:17214235e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,aC.local.invalidYear),r=t.year()<0?t.year()+1:t.year();return r%4===0},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,aC.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,aC.local.invalidDate);return e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<=2&&(e--,t+=12),Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=t+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}});aC.calendars.julian=rQ});var k$e=ye(()=>{var ug=Sv(),cQt=bh();function nQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}nQ.prototype=new ug.baseCalendar;cQt(nQ.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),!1},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear);e=t.year();var r=Math.floor(e/400);e=e%400,e+=e<0?400:0;var n=Math.floor(e/20);return r+\".\"+n+\".\"+e%20},forYear:function(e){if(e=e.split(\".\"),e.length<3)throw\"Invalid Mayan year\";for(var t=0,r=0;r<e.length;r++){var n=parseInt(e[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";t=t*20+n}return t},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),18},weekOfYear:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),0},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),360},daysInMonth:function(e,t){return this._validate(e,t,this.minDay,ug.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()},weekDay:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),!0},extraInfo:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate),i=n.toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(e){e-=this.jdEpoch;var t=iQ(e+8+17*20,365);return[Math.floor(t/20)+1,iQ(t,20)]},_toTzolkin:function(e){return e-=this.jdEpoch,[E$e(e+20,20),E$e(e+4,13)]},toJD:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()+n.month()*20+n.year()*360+this.jdEpoch},fromJD:function(e){e=Math.floor(e)+.5-this.jdEpoch;var t=Math.floor(e/360);e=e%360,e+=e<0?360:0;var r=Math.floor(e/20),n=e%20;return this.newDate(t,r,n)}});function iQ(e,t){return e-t*Math.floor(e/t)}function E$e(e,t){return iQ(e-1,t)+1}ug.calendars.mayan=nQ});var L$e=ye(()=>{var bw=Sv(),fQt=bh();function aQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}aQ.prototype=new bw.baseCalendar;var C$e=bw.instance(\"gregorian\");fQt(aQ.prototype,{name:\"Nanakshahi\",jdEpoch:22576735e-1,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,bw.local.invalidYear||bw.regionalOptions[\"\"].invalidYear);return C$e.leapYear(t.year()+(t.year()<1?1:0)+1469)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,bw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,bw.local.invalidMonth),i=n.year();i<0&&i++;for(var a=n.day(),o=1;o<n.month();o++)a+=this.daysPerMonth[o-1];return a+C$e.toJD(i+1468,3,13)},fromJD:function(e){e=Math.floor(e+.5);for(var t=Math.floor((e-(this.jdEpoch-1))/366);e>=this.toJD(t+1,1,1);)t++;for(var r=e-Math.floor(this.toJD(t,1,1)+.5)+1,n=1;r>this.daysInMonth(t,n);)r-=this.daysInMonth(t,n),n++;return this.newDate(t,n,r)}});bw.calendars.nanakshahi=aQ});var P$e=ye(()=>{var ww=Sv(),hQt=bh();function oQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}oQ.prototype=new ww.baseCalendar;hQt(oQ.prototype,{name:\"Nepali\",jdEpoch:17007095e-1,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(e){return 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l=e-(o>9||o===9&&r>=this.NEPALI_CALENDAR_DATA[s][0]?56:57);for(t!==9&&(a=r,o--);o!==9;)o<=0&&(o=12,s--),a+=this.NEPALI_CALENDAR_DATA[s][o],o--;return t===9?(a+=r-this.NEPALI_CALENDAR_DATA[s][0],a<0&&(a+=i.daysInYear(l))):a+=this.NEPALI_CALENDAR_DATA[s][9]-this.NEPALI_CALENDAR_DATA[s][0],i.newDate(l,1,1).add(a,\"d\").toJD()},fromJD:function(e){var t=ww.instance(),r=t.fromJD(e),n=r.year(),i=r.dayOfYear(),a=n+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)o++,o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(e){var t=this.daysPerMonth.slice(0);t.unshift(17);for(var r=e-1;r<e+2;r++)typeof 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t=this._validate(e,this.minMonth,this.minDay,QA.local.invalidYear);return((t.year()-(t.year()>0?474:473))%2820+474+38)*682%2816<682},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-((n.dayOfWeek()+1)%7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,QA.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,QA.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e-(e>=0?474:473),a=474+sQ(i,2820);return r+(t<=7?(t-1)*31:(t-1)*30+6)+Math.floor((a*682-110)/2816)+(a-1)*365+Math.floor(i/2820)*1029983+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e)+.5;var t=e-this.toJD(475,1,1),r=Math.floor(t/1029983),n=sQ(t,1029983),i=2820;if(n!==1029982){var a=Math.floor(n/366),o=sQ(n,366);i=Math.floor((2134*a+2816*o+2815)/1028522)+a+1}var s=i+2820*r+474;s=s<=0?s-1:s;var l=e-this.toJD(s,1,1)+1,u=l<=186?Math.ceil(l/31):Math.ceil((l-6)/30),c=e-this.toJD(s,u,1)+1;return this.newDate(s,u,c)}});function sQ(e,t){return e-t*Math.floor(e/t)}QA.calendars.persian=M9;QA.calendars.jalali=M9});var R$e=ye(()=>{var Tw=Sv(),vQt=bh(),E9=Tw.instance();function lQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}lQ.prototype=new 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n=this._validate(i,this.minMonth,this.minDay,Tw.local.invalidYear),i=this._t2gYear(n.year());return E9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Tw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Tw.local.invalidDate),i=this._t2gYear(n.year());return E9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=E9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)},_g2tYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)}});Tw.calendars.taiwan=lQ});var D$e=ye(()=>{var Aw=Sv(),pQt=bh(),k9=Aw.instance();function uQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}uQ.prototype=new 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n=this._validate(i,this.minMonth,this.minDay,Aw.local.invalidYear),i=this._t2gYear(n.year());return k9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Aw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Aw.local.invalidDate),i=this._t2gYear(n.year());return k9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=k9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)},_g2tYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)}});Aw.calendars.thai=uQ});var z$e=ye(()=>{var Sw=Sv(),gQt=bh();function cQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}cQ.prototype=new 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n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){for(var t=0,r=1;r<=12;r++)t+=this.daysInMonth(e,r);return t},daysInMonth:function(e,t){for(var r=this._validate(e,t,this.minDay,Sw.local.invalidMonth),n=r.toJD()-24e5+.5,i=0,a=0;a<Ox.length;a++){if(Ox[a]>n)return Ox[i]-Ox[i-1];i++}return 30},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Sw.local.invalidDate),i=12*(n.year()-1)+n.month()-15292,a=n.day()+Ox[i-1]-1;return a+24e5-.5},fromJD:function(e){for(var t=e-24e5+.5,r=0,n=0;n<Ox.length&&!(Ox[n]>t);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),o=a+1,s=i-12*a,l=t-Ox[r-1]+1;return this.newDate(o,s,l)},isValid:function(e,t,r){var n=Sw.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(e=e.year!=null?e.year:e,n=e>=1276&&e<=1500),n},_validate:function(e,t,r,n){var i=Sw.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return i}});Sw.calendars.ummalqura=cQ;var 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+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\n",
+       "/*!\n",
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+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
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+       " * Licensed under the MIT license.\n",
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+       "/*!\n",
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+       " * Licensed under the MIT License.\n",
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+       "/*! Bundled license information:\n",
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+       "  (*\n",
+       "   * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+       "   * @license MIT\n",
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+       "\n",
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+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "object-assign/index.js:\n",
+       "  (*\n",
+       "  object-assign\n",
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+       "  @license MIT\n",
+       "  *)\n",
+       "\n",
+       "maplibre-gl/dist/maplibre-gl.js:\n",
+       "  (**\n",
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+       "   * @license 3-Clause BSD. Full text of license: https://github.com/maplibre/maplibre-gl-js/blob/v4.7.1/LICENSE.txt\n",
+       "   *)\n",
+       "*/\n",
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r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],x=t[13],b=t[14],g=t[15];return e[0]=s*(h*g-d*b)-f*(l*g-u*b)+x*(l*d-u*h),e[1]=-(n*(h*g-d*b)-f*(i*g-a*b)+x*(i*d-a*h)),e[2]=n*(l*g-u*b)-s*(i*g-a*b)+x*(i*u-a*l),e[3]=-(n*(l*d-u*h)-s*(i*d-a*h)+f*(i*u-a*l)),e[4]=-(o*(h*g-d*b)-c*(l*g-u*b)+v*(l*d-u*h)),e[5]=r*(h*g-d*b)-c*(i*g-a*b)+v*(i*d-a*h),e[6]=-(r*(l*g-u*b)-o*(i*g-a*b)+v*(i*u-a*l)),e[7]=r*(l*d-u*h)-o*(i*d-a*h)+c*(i*u-a*l),e[8]=o*(f*g-d*x)-c*(s*g-u*x)+v*(s*d-u*f),e[9]=-(r*(f*g-d*x)-c*(n*g-a*x)+v*(n*d-a*f)),e[10]=r*(s*g-u*x)-o*(n*g-a*x)+v*(n*u-a*s),e[11]=-(r*(s*d-u*f)-o*(n*d-a*f)+c*(n*u-a*s)),e[12]=-(o*(f*b-h*x)-c*(s*b-l*x)+v*(s*h-l*f)),e[13]=r*(f*b-h*x)-c*(n*b-i*x)+v*(n*h-i*f),e[14]=-(r*(s*b-l*x)-o*(n*b-i*x)+v*(n*l-i*s)),e[15]=r*(s*h-l*f)-o*(n*h-i*f)+c*(n*l-i*s),e}});var dte=ye((fer,hte)=>{hte.exports=Let;function Let(e){var t=e[0],r=e[1],n=e[2],i=e[3],a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11],d=e[12],v=e[13],x=e[14],b=e[15],g=t*o-r*a,E=t*s-n*a,k=t*l-i*a,A=r*s-n*o,L=r*l-i*o,_=n*l-i*s,C=u*v-c*d,M=u*x-f*d,p=u*b-h*d,P=c*x-f*v,T=c*b-h*v,F=f*b-h*x;return g*F-E*T+k*P+A*p-L*M+_*C}});var pte=ye((her,vte)=>{vte.exports=Pet;function Pet(e,t,r){var n=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],f=t[8],h=t[9],d=t[10],v=t[11],x=t[12],b=t[13],g=t[14],E=t[15],k=r[0],A=r[1],L=r[2],_=r[3];return e[0]=k*n+A*s+L*f+_*x,e[1]=k*i+A*l+L*h+_*b,e[2]=k*a+A*u+L*d+_*g,e[3]=k*o+A*c+L*v+_*E,k=r[4],A=r[5],L=r[6],_=r[7],e[4]=k*n+A*s+L*f+_*x,e[5]=k*i+A*l+L*h+_*b,e[6]=k*a+A*u+L*d+_*g,e[7]=k*o+A*c+L*v+_*E,k=r[8],A=r[9],L=r[10],_=r[11],e[8]=k*n+A*s+L*f+_*x,e[9]=k*i+A*l+L*h+_*b,e[10]=k*a+A*u+L*d+_*g,e[11]=k*o+A*c+L*v+_*E,k=r[12],A=r[13],L=r[14],_=r[15],e[12]=k*n+A*s+L*f+_*x,e[13]=k*i+A*l+L*h+_*b,e[14]=k*a+A*u+L*d+_*g,e[15]=k*o+A*c+L*v+_*E,e}});var mte=ye((der,gte)=>{gte.exports=Iet;function Iet(e,t,r){var n=r[0],i=r[1],a=r[2],o,s,l,u,c,f,h,d,v,x,b,g;return t===e?(e[12]=t[0]*n+t[4]*i+t[8]*a+t[12],e[13]=t[1]*n+t[5]*i+t[9]*a+t[13],e[14]=t[2]*n+t[6]*i+t[10]*a+t[14],e[15]=t[3]*n+t[7]*i+t[11]*a+t[15]):(o=t[0],s=t[1],l=t[2],u=t[3],c=t[4],f=t[5],h=t[6],d=t[7],v=t[8],x=t[9],b=t[10],g=t[11],e[0]=o,e[1]=s,e[2]=l,e[3]=u,e[4]=c,e[5]=f,e[6]=h,e[7]=d,e[8]=v,e[9]=x,e[10]=b,e[11]=g,e[12]=o*n+c*i+v*a+t[12],e[13]=s*n+f*i+x*a+t[13],e[14]=l*n+h*i+b*a+t[14],e[15]=u*n+d*i+g*a+t[15]),e}});var _te=ye((ver,yte)=>{yte.exports=Ret;function Ret(e,t,r){var n=r[0],i=r[1],a=r[2];return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var bte=ye((per,xte)=>{xte.exports=Det;function Det(e,t,r,n){var i=n[0],a=n[1],o=n[2],s=Math.sqrt(i*i+a*a+o*o),l,u,c,f,h,d,v,x,b,g,E,k,A,L,_,C,M,p,P,T,F,q,V,H;return Math.abs(s)<1e-6?null:(s=1/s,i*=s,a*=s,o*=s,l=Math.sin(r),u=Math.cos(r),c=1-u,f=t[0],h=t[1],d=t[2],v=t[3],x=t[4],b=t[5],g=t[6],E=t[7],k=t[8],A=t[9],L=t[10],_=t[11],C=i*i*c+u,M=a*i*c+o*l,p=o*i*c-a*l,P=i*a*c-o*l,T=a*a*c+u,F=o*a*c+i*l,q=i*o*c+a*l,V=a*o*c-i*l,H=o*o*c+u,e[0]=f*C+x*M+k*p,e[1]=h*C+b*M+A*p,e[2]=d*C+g*M+L*p,e[3]=v*C+E*M+_*p,e[4]=f*P+x*T+k*F,e[5]=h*P+b*T+A*F,e[6]=d*P+g*T+L*F,e[7]=v*P+E*T+_*F,e[8]=f*q+x*V+k*H,e[9]=h*q+b*V+A*H,e[10]=d*q+g*V+L*H,e[11]=v*q+E*V+_*H,t!==e&&(e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e)}});var Tte=ye((ger,wte)=>{wte.exports=zet;function zet(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[4]=a*i+u*n,e[5]=o*i+c*n,e[6]=s*i+f*n,e[7]=l*i+h*n,e[8]=u*i-a*n,e[9]=c*i-o*n,e[10]=f*i-s*n,e[11]=h*i-l*n,e}});var Ste=ye((mer,Ate)=>{Ate.exports=Fet;function Fet(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i-u*n,e[1]=o*i-c*n,e[2]=s*i-f*n,e[3]=l*i-h*n,e[8]=a*n+u*i,e[9]=o*n+c*i,e[10]=s*n+f*i,e[11]=l*n+h*i,e}});var Ete=ye((yer,Mte)=>{Mte.exports=qet;function qet(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[4],c=t[5],f=t[6],h=t[7];return t!==e&&(e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i+u*n,e[1]=o*i+c*n,e[2]=s*i+f*n,e[3]=l*i+h*n,e[4]=u*i-a*n,e[5]=c*i-o*n,e[6]=f*i-s*n,e[7]=h*i-l*n,e}});var Cte=ye((_er,kte)=>{kte.exports=Oet;function Oet(e,t,r){var n,i,a,o=r[0],s=r[1],l=r[2],u=Math.sqrt(o*o+s*s+l*l);return Math.abs(u)<1e-6?null:(u=1/u,o*=u,s*=u,l*=u,n=Math.sin(t),i=Math.cos(t),a=1-i,e[0]=o*o*a+i,e[1]=s*o*a+l*n,e[2]=l*o*a-s*n,e[3]=0,e[4]=o*s*a-l*n,e[5]=s*s*a+i,e[6]=l*s*a+o*n,e[7]=0,e[8]=o*l*a+s*n,e[9]=s*l*a-o*n,e[10]=l*l*a+i,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e)}});var Pte=ye((xer,Lte)=>{Lte.exports=Bet;function Bet(e,t,r){var n=t[0],i=t[1],a=t[2],o=t[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,d=i*l,v=i*u,x=a*u,b=o*s,g=o*l,E=o*u;return e[0]=1-(d+x),e[1]=f+E,e[2]=h-g,e[3]=0,e[4]=f-E,e[5]=1-(c+x),e[6]=v+b,e[7]=0,e[8]=h+g,e[9]=v-b,e[10]=1-(c+d),e[11]=0,e[12]=r[0],e[13]=r[1],e[14]=r[2],e[15]=1,e}});var Rte=ye((ber,Ite)=>{Ite.exports=Net;function Net(e,t){return e[0]=t[0],e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=t[1],e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=t[2],e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var zte=ye((wer,Dte)=>{Dte.exports=Uet;function Uet(e,t){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=t[0],e[13]=t[1],e[14]=t[2],e[15]=1,e}});var qte=ye((Ter,Fte)=>{Fte.exports=Vet;function Vet(e,t){var r=Math.sin(t),n=Math.cos(t);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=n,e[6]=r,e[7]=0,e[8]=0,e[9]=-r,e[10]=n,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var Bte=ye((Aer,Ote)=>{Ote.exports=Het;function Het(e,t){var r=Math.sin(t),n=Math.cos(t);return e[0]=n,e[1]=0,e[2]=-r,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=r,e[9]=0,e[10]=n,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var Ute=ye((Ser,Nte)=>{Nte.exports=Get;function Get(e,t){var r=Math.sin(t),n=Math.cos(t);return e[0]=n,e[1]=r,e[2]=0,e[3]=0,e[4]=-r,e[5]=n,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var Cq=ye((Mer,Vte)=>{Vte.exports=jet;function jet(e,t){var r=t[0],n=t[1],i=t[2],a=t[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,d=i*s,v=i*l,x=a*o,b=a*s,g=a*l;return e[0]=1-f-v,e[1]=c+g,e[2]=h-b,e[3]=0,e[4]=c-g,e[5]=1-u-v,e[6]=d+x,e[7]=0,e[8]=h+b,e[9]=d-x,e[10]=1-u-f,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var Gte=ye((Eer,Hte)=>{Hte.exports=Wet;function Wet(e,t,r,n,i,a,o){var s=1/(r-t),l=1/(i-n),u=1/(a-o);return e[0]=a*2*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=a*2*l,e[6]=0,e[7]=0,e[8]=(r+t)*s,e[9]=(i+n)*l,e[10]=(o+a)*u,e[11]=-1,e[12]=0,e[13]=0,e[14]=o*a*2*u,e[15]=0,e}});var Wte=ye((ker,jte)=>{jte.exports=Zet;function Zet(e,t,r,n,i){var a=1/Math.tan(t/2),o=1/(n-i);return e[0]=a/r,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=a,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=(i+n)*o,e[11]=-1,e[12]=0,e[13]=0,e[14]=2*i*n*o,e[15]=0,e}});var Xte=ye((Cer,Zte)=>{Zte.exports=Xet;function Xet(e,t,r,n){var i=Math.tan(t.upDegrees*Math.PI/180),a=Math.tan(t.downDegrees*Math.PI/180),o=Math.tan(t.leftDegrees*Math.PI/180),s=Math.tan(t.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return e[0]=l,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=u,e[6]=0,e[7]=0,e[8]=-((o-s)*l*.5),e[9]=(i-a)*u*.5,e[10]=n/(r-n),e[11]=-1,e[12]=0,e[13]=0,e[14]=n*r/(r-n),e[15]=0,e}});var Kte=ye((Ler,Yte)=>{Yte.exports=Yet;function Yet(e,t,r,n,i,a,o){var s=1/(t-r),l=1/(n-i),u=1/(a-o);return e[0]=-2*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=-2*l,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=2*u,e[11]=0,e[12]=(t+r)*s,e[13]=(i+n)*l,e[14]=(o+a)*u,e[15]=1,e}});var $te=ye((Per,Jte)=>{var Ket=kq();Jte.exports=Jet;function Jet(e,t,r,n){var i,a,o,s,l,u,c,f,h,d,v=t[0],x=t[1],b=t[2],g=n[0],E=n[1],k=n[2],A=r[0],L=r[1],_=r[2];return Math.abs(v-A)<1e-6&&Math.abs(x-L)<1e-6&&Math.abs(b-_)<1e-6?Ket(e):(c=v-A,f=x-L,h=b-_,d=1/Math.sqrt(c*c+f*f+h*h),c*=d,f*=d,h*=d,i=E*h-k*f,a=k*c-g*h,o=g*f-E*c,d=Math.sqrt(i*i+a*a+o*o),d?(d=1/d,i*=d,a*=d,o*=d):(i=0,a=0,o=0),s=f*o-h*a,l=h*i-c*o,u=c*a-f*i,d=Math.sqrt(s*s+l*l+u*u),d?(d=1/d,s*=d,l*=d,u*=d):(s=0,l=0,u=0),e[0]=i,e[1]=s,e[2]=c,e[3]=0,e[4]=a,e[5]=l,e[6]=f,e[7]=0,e[8]=o,e[9]=u,e[10]=h,e[11]=0,e[12]=-(i*v+a*x+o*b),e[13]=-(s*v+l*x+u*b),e[14]=-(c*v+f*x+h*b),e[15]=1,e)}});var ere=ye((Ier,Qte)=>{Qte.exports=$et;function $et(e){return\"mat4(\"+e[0]+\", \"+e[1]+\", \"+e[2]+\", \"+e[3]+\", \"+e[4]+\", \"+e[5]+\", \"+e[6]+\", \"+e[7]+\", 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f=t._modules;for(s=0;s<f.length;s++)l=f[s],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r);var h=t._transformModules;for(s=0;s<h.length;s++)l=h[s],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r,n);for(o in i)l=i[o],l.supplyLayoutDefaults&&l.supplyLayoutDefaults(e,t,r)};ha.purge=function(e){var t=e._fullLayout||{};t._glcontainer!==void 0&&(t._glcontainer.selectAll(\".gl-canvas\").remove(),t._glcontainer.remove(),t._glcanvas=null),t._modeBar&&t._modeBar.destroy(),e._transitionData&&(e._transitionData._interruptCallbacks&&(e._transitionData._interruptCallbacks.length=0),e._transitionData._animationRaf&&window.cancelAnimationFrame(e._transitionData._animationRaf)),Ca.clearThrottle(),Ca.clearResponsive(e),delete e.data,delete e.layout,delete e._fullData,delete e._fullLayout,delete e.calcdata,delete e.empty,delete e.fid,delete e.undoqueue,delete e.undonum,delete e.autoplay,delete e.changed,delete e._promises,delete e._redrawTimer,delete e._hmlumcount,delete e._hmpixcount,delete 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ha.doAutoMargin(e)}};function qit(e){if(\"_redrawFromAutoMarginCount\"in e._fullLayout)return!1;var t=Ap.list(e,\"\",!0);for(var r in t)if(t[r].autoshift||t[r].shift)return!0;return!1}ha.doAutoMargin=function(e){var t=e._fullLayout,r=t.width,n=t.height;t._size||(t._size={}),Cne(t);var i=t._size,a=t.margin,o={t:0,b:0,l:0,r:0},s=Ca.extendFlat({},i),l=a.l,u=a.r,c=a.t,f=a.b,h=t._pushmargin,d=t._pushmarginIds,v=t.minreducedwidth,x=t.minreducedheight;if(a.autoexpand!==!1){for(var b in h)d[b]||delete h[b];var g=e._fullLayout._reservedMargin;for(var E in g)for(var k in g[E]){var A=g[E][k];o[k]=Math.max(o[k],A)}h.base={l:{val:0,size:l},r:{val:1,size:u},t:{val:1,size:c},b:{val:0,size:f}};for(var L in o){var _=0;for(var C in h)C!==\"base\"&&jS(h[C][L].size)&&(_=h[C][L].size>_?h[C][L].size:_);var M=Math.max(0,a[L]-_);o[L]=Math.max(0,o[L]-M)}for(var p in h){var P=h[p].l||{},T=h[p].b||{},F=P.val,q=P.size,V=T.val,H=T.size,X=r-o.r-o.l,G=n-o.t-o.b;for(var N in h){if(jS(q)&&h[N].r){var 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t=Ap.list(e,\"\",!0);[\"_adjustTickLabelsOverflow\",\"_hideCounterAxisInsideTickLabels\"].forEach(function(r){for(var n=0;n<t.length;n++){var i=t[n][r];i&&i()}})}var Tne=[\"l\",\"r\",\"t\",\"b\",\"p\",\"w\",\"h\"];ha.didMarginChange=function(e,t){for(var r=0;r<Tne.length;r++){var n=Tne[r],i=e[n],a=t[n];if(!jS(i)||Math.abs(a-i)>1)return!0}return!1};ha.graphJson=function(e,t,r,n,i,a){(i&&t&&!e._fullData||i&&!t&&!e._fullLayout)&&ha.supplyDefaults(e);var o=i?e._fullData:e.data,s=i?e._fullLayout:e.layout,l=(e._transitionData||{})._frames;function u(h,d){if(typeof h==\"function\")return d?\"_function_\":null;if(Ca.isPlainObject(h)){var v={},x;return Object.keys(h).sort().forEach(function(k){if([\"_\",\"[\"].indexOf(k.charAt(0))===-1){if(typeof h[k]==\"function\"){d&&(v[k]=\"_function\");return}if(r===\"keepdata\"){if(k.substr(k.length-3)===\"src\")return}else if(r===\"keepstream\"){if(x=h[k+\"src\"],typeof x==\"string\"&&x.indexOf(\":\")>0&&!Ca.isPlainObject(h.stream))return}else 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foe=iat(\"~f\"),woe={radial:{type:\"radial\"},radialreversed:{type:\"radial\",reversed:!0},horizontal:{type:\"linear\",start:{x:1,y:0},stop:{x:0,y:0}},horizontalreversed:{type:\"linear\",start:{x:1,y:0},stop:{x:0,y:0},reversed:!0},vertical:{type:\"linear\",start:{x:0,y:1},stop:{x:0,y:0}},verticalreversed:{type:\"linear\",start:{x:0,y:1},stop:{x:0,y:0},reversed:!0}};na.gradient=function(e,t,r,n,i,a){var o=woe[n];return Toe(e,t,r,o.type,i,a,o.start,o.stop,!1,o.reversed)};function Toe(e,t,r,n,i,a,o,s,l,u){var c=i.length,f;n===\"linear\"?f={node:\"linearGradient\",attrs:{x1:o.x,y1:o.y,x2:s.x,y2:s.y,gradientUnits:l?\"userSpaceOnUse\":\"objectBoundingBox\"},reversed:u}:n===\"radial\"&&(f={node:\"radialGradient\",reversed:u});for(var h=new Array(c),d=0;d<c;d++)f.reversed?h[c-1-d]=[foe((1-i[d][0])*100),i[d][1]]:h[d]=[foe(i[d][0]*100),i[d][1]];var 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T=[i||\"noSh\",u||\"noBg\",c||\"noFg\",a,o].join(\";\"),F=d._defs.select(\".patterns\").selectAll(\"#\"+v).data([T],du.identity);F.exit().remove(),F.enter().append(\"pattern\").each(function(){var q=od.select(this);if(q.attr({id:v,width:x+\"px\",height:b+\"px\",patternUnits:\"userSpaceOnUse\",patternTransform:h?\"scale(0.8)\":\"\"}),u){var V=qO(u),H=Xd.tinyRGB(V),X=V.getAlpha(),G=q.selectAll(\"rect\").data([0]);G.exit().remove(),G.enter().append(\"rect\").attr({width:x+\"px\",height:b+\"px\",fill:H,\"fill-opacity\":X})}var N=q.selectAll(L).data([0]);N.exit().remove(),N.enter().append(L).attr(_)}),e.style(\"fill\",OO(v,r)).style(\"fill-opacity\",null),e.classed(\"pattern_filled\",!0)};na.initGradients=function(e){var t=e._fullLayout,r=du.ensureSingle(t._defs,\"g\",\"gradients\");r.selectAll(\"linearGradient,radialGradient\").remove(),od.select(e).selectAll(\".gradient_filled\").classed(\"gradient_filled\",!1)};na.initPatterns=function(e){var t=e._fullLayout,r=du.ensureSingle(t._defs,\"g\",\"patterns\");r.selectAll(\"pattern\").remove(),od.select(e).selectAll(\".pattern_filled\").classed(\"pattern_filled\",!1)};na.getPatternAttr=function(e,t,r){return e&&du.isArrayOrTypedArray(e)?t<e.length?e[t]:r:e};na.pointStyle=function(e,t,r,n){if(e.size()){var i=na.makePointStyleFns(t);e.each(function(a){na.singlePointStyle(a,od.select(this),t,i,r,n)})}};na.singlePointStyle=function(e,t,r,n,i,a){var o=r.marker,s=o.line;if(a&&a.i>=0&&e.i===void 0&&(e.i=a.i),t.style(\"opacity\",n.selectedOpacityFn?n.selectedOpacityFn(e):e.mo===void 0?o.opacity:e.mo),n.ms2mrc){var l;e.ms===\"various\"||o.size===\"various\"?l=3:l=n.ms2mrc(e.ms),e.mrc=l,n.selectedSizeFn&&(l=e.mrc=n.selectedSizeFn(e));var u=na.symbolNumber(e.mx||o.symbol)||0;e.om=u%200>=100;var c=NO(e,r),f=BO(e,r);t.attr(\"d\",boe(u,l,c,f))}var h=!1,d,v,x;if(e.so)x=s.outlierwidth,v=s.outliercolor,d=o.outliercolor;else{var 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t={},r=e.selected||{},n=e.unselected||{},i=e.marker||{},a=r.marker||{},o=n.marker||{},s=i.opacity,l=a.opacity,u=o.opacity,c=l!==void 0,f=u!==void 0;(du.isArrayOrTypedArray(s)||c||f)&&(t.selectedOpacityFn=function(A){var L=A.mo===void 0?i.opacity:A.mo;return A.selected?c?l:L:f?u:_oe*L});var h=i.color,d=a.color,v=o.color;(d||v)&&(t.selectedColorFn=function(A){var L=A.mcc||h;return A.selected?d||L:v||L});var x=i.size,b=a.size,g=o.size,E=b!==void 0,k=g!==void 0;return eL.traceIs(e,\"symbols\")&&(E||k)&&(t.selectedSizeFn=function(A){var L=A.mrc||x/2;return A.selected?E?b/2:L:k?g/2:L}),t};na.makeSelectedTextStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.textfont||{},a=r.textfont||{},o=n.textfont||{},s=i.color,l=a.color,u=o.color;return t.selectedTextColorFn=function(c){var f=c.tc||s;return c.selected?l||f:u||(l?f:Xd.addOpacity(f,_oe))},t};na.selectedPointStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=na.makeSelectedPointStyleFns(t),n=t.marker||{},i=[];r.selectedOpacityFn&&i.push(function(a,o){a.style(\"opacity\",r.selectedOpacityFn(o))}),r.selectedColorFn&&i.push(function(a,o){Xd.fill(a,r.selectedColorFn(o))}),r.selectedSizeFn&&i.push(function(a,o){var s=o.mx||n.symbol||0,l=r.selectedSizeFn(o);a.attr(\"d\",boe(na.symbolNumber(s),l,NO(o,t),BO(o,t))),o.mrc2=l}),i.length&&e.each(function(a){for(var o=od.select(this),s=0;s<i.length;s++)i[s](o,a)})}};na.tryColorscale=function(e,t){var r=t?du.nestedProperty(e,t).get():e;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&du.isArrayOrTypedArray(n))return nat.makeColorScaleFuncFromTrace(r)}return du.identity};var RO={start:1,end:-1,middle:0,bottom:1,top:-1};function Aoe(e,t,r,n,i){var a=od.select(e.node().parentNode),o=t.indexOf(\"top\")!==-1?\"top\":t.indexOf(\"bottom\")!==-1?\"bottom\":\"middle\",s=t.indexOf(\"left\")!==-1?\"end\":t.indexOf(\"right\")!==-1?\"start\":\"middle\",l=n?n/.8+1:0,u=(tL.lineCount(e)-1)*sat+1,c=RO[s]*l,f=r*.75+RO[o]*l+(RO[o]-1)*u*r/2;e.attr(\"text-anchor\",s),i||a.attr(\"transform\",KS(c,f))}function Soe(e,t){var r=e.ts||t.textfont.size;return Ab(r)&&r>0?r:0}na.textPointStyle=function(e,t,r){if(e.size()){var n;if(t.selectedpoints){var i=na.makeSelectedTextStyleFns(t);n=i.selectedTextColorFn}var a=t.texttemplate,o=r._fullLayout;e.each(function(s){var l=od.select(this),u=a?du.extractOption(s,t,\"txt\",\"texttemplate\"):du.extractOption(s,t,\"tx\",\"text\");if(!u&&u!==0){l.remove();return}if(a){var c=t._module.formatLabels,f=c?c(s,t,o):{},h={};cat(h,t,s.i);var d=t._meta||{};u=du.texttemplateString(u,f,o._d3locale,h,s,d)}var v=s.tp||t.textposition,x=Soe(s,t),b=n?n(s):s.tc||t.textfont.color;l.call(na.font,{family:s.tf||t.textfont.family,weight:s.tw||t.textfont.weight,style:s.ty||t.textfont.style,variant:s.tv||t.textfont.variant,textcase:s.tC||t.textfont.textcase,lineposition:s.tE||t.textfont.lineposition,shadow:s.tS||t.textfont.shadow,size:x,color:b}).text(u).call(tL.convertToTspans,r).call(Aoe,v,x,s.mrc)})}};na.selectedTextStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=na.makeSelectedTextStyleFns(t);e.each(function(n){var i=od.select(this),a=r.selectedTextColorFn(n),o=n.tp||t.textposition,s=Soe(n,t);Xd.fill(i,a);var l=eL.traceIs(t,\"bar-like\");Aoe(i,o,s,n.mrc2||n.mrc,l)})}};var hoe=.5;na.smoothopen=function(e,t){if(e.length<3)return\"M\"+e.join(\"L\");var r=\"M\"+e[0],n=[],i;for(i=1;i<e.length-1;i++)n.push(Q6(e[i-1],e[i],e[i+1],t));for(r+=\"Q\"+n[0][0]+\" \"+e[1],i=2;i<e.length-1;i++)r+=\"C\"+n[i-2][1]+\" \"+n[i-1][0]+\" \"+e[i];return r+=\"Q\"+n[e.length-3][1]+\" 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gat={hv:function(e,t,r){return\"H\"+wb(t[0])+\"V\"+M3(t,1,r)},vh:function(e,t,r){return\"V\"+Tb(t[1])+\"H\"+M3(t,0,r)},hvh:function(e,t,r){return\"H\"+wb((e[0]+t[0])/2)+\"V\"+Tb(t[1])+\"H\"+M3(t,0,r)},vhv:function(e,t,r){return\"V\"+Tb((e[1]+t[1])/2)+\"H\"+wb(t[0])+\"V\"+M3(t,1,r)}},mat=function(e,t,r){return\"L\"+M3(t,0,r)+\",\"+M3(t,1,r)};na.steps=function(e){var t=gat[e]||mat;return function(r){for(var n=\"M\"+wb(r[0][0])+\",\"+Tb(r[0][1]),i=r.length,a=1;a<i;a++)n+=t(r[a-1],r[a],a===i-1);return n}};function koe(e,t){var r=e.backoff,n=e.trace,i=e.d,a=e.i;if(r&&n&&n.marker&&n.marker.angle%360===0&&n.line&&n.line.shape!==\"spline\"){var o=du.isArrayOrTypedArray(r),s=e,l=t?t[0]:Moe||0,u=t?t[1]:Eoe||0,c=s[0],f=s[1],h=c-l,d=f-u,v=Math.atan2(d,h),x=o?r[a]:r;if(x===\"auto\"){var b=s.i;n.type===\"scatter\"&&b--;var g=s.marker,E=g.symbol;du.isArrayOrTypedArray(E)&&(E=E[b]);var 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c=Vo.distinctVals(e),f=Math.pow(10,Math.floor(Math.log(c.minDiff)/Math.LN10)),h=f*Vo.roundUp(c.minDiff/f,[.9,1.9,4.9,9.9],!0);u=Math.max(h,2*Vo.stdev(e)/Math.pow(e.length,n?.25:.4)),ph(u)||(u=1)}kn.autoTicks(l,u)}var d=l.dtick,v=kn.tickIncrement(kn.tickFirst(l),d,\"reverse\",i),x,b;if(typeof d==\"number\")v=cot(v,e,l,o,s),b=1+Math.floor((s-v)/d),x=v+b*d;else for(l.dtick.charAt(0)===\"M\"&&(v=fot(v,e,d,o,i)),x=v,b=0;x<=s;)x=kn.tickIncrement(x,d,!1,i),b++;return{start:t.c2r(v,0,i),end:t.c2r(x,0,i),size:d,_dataSpan:s-o}};function cot(e,t,r,n,i){var a=0,o=0,s=0,l=0;function u(d){return(1+(d-e)*100/r.dtick)%100<2}for(var c=0;c<t.length;c++)t[c]%1===0?s++:ph(t[c])||l++,u(t[c])&&a++,u(t[c]+r.dtick/2)&&o++;var f=t.length-l;if(s===f&&r.type!==\"date\")r.dtick<1?e=n-.5*r.dtick:(e-=.5,e+r.dtick<n&&(e+=r.dtick));else if(o<f*.1&&(a>f*.3||u(n)||u(i))){var h=r.dtick/2;e+=e+h<n?h:-h}return e}function fot(e,t,r,n,i){var a=Vo.findExactDates(t,i),o=.8;if(a.exactDays>o){var s=Number(r.substr(1));a.exactYears>o&&s%12===0?e=kn.tickIncrement(e,\"M6\",\"reverse\")+Fv*1.5:a.exactMonths>o?e=kn.tickIncrement(e,\"M1\",\"reverse\")+Fv*15.5:e-=s_;var l=kn.tickIncrement(e,r);if(l<=n)return l}return e}kn.prepMinorTicks=function(e,t,r){if(!t.minor.dtick){delete e.dtick;var n=t.dtick&&ph(t._tmin),i;if(n){var a=kn.tickIncrement(t._tmin,t.dtick,!0);i=[t._tmin,a*.99+t._tmin*.01]}else{var o=Vo.simpleMap(t.range,t.r2l);i=[o[0],.8*o[0]+.2*o[1]]}if(e.range=Vo.simpleMap(i,t.l2r),e._isMinor=!0,kn.prepTicks(e,r),n){var s=ph(t.dtick),l=ph(e.dtick),u=s?t.dtick:+t.dtick.substring(1),c=l?e.dtick:+e.dtick.substring(1);s&&l?JO(u,c)?u===2*Yp&&c===2*Fv&&(e.dtick=Yp):u===2*Yp&&c===3*Fv?e.dtick=Yp:u===Yp&&!(t._input.minor||{}).nticks?e.dtick=Fv:rse(u/c,2.5)?e.dtick=u/2:e.dtick=u:String(t.dtick).charAt(0)===\"M\"?l?e.dtick=\"M1\":JO(u,c)?u>=12&&c===2&&(e.dtick=\"M3\"):e.dtick=t.dtick:String(e.dtick).charAt(0)===\"L\"?String(t.dtick).charAt(0)===\"L\"?JO(u,c)||(e.dtick=rse(u/c,2.5)?t.dtick/2:t.dtick):e.dtick=\"D1\":e.dtick===\"D2\"&&+t.dtick>1&&(e.dtick=1)}e.range=t.range}t.minor._tick0Init===void 0&&(e.tick0=t.tick0)};function JO(e,t){return Math.abs((e/t+.5)%1-.5)<.001}function rse(e,t){return Math.abs(e/t-1)<.001}kn.prepTicks=function(e,t){var r=Vo.simpleMap(e.range,e.r2l,void 0,void 0,t);if(e.tickmode===\"auto\"||!e.dtick){var n=e.nticks,i;n||(e.type===\"category\"||e.type===\"multicategory\"?(i=e.tickfont?Vo.bigFont(e.tickfont.size||12):15,n=e._length/i):(i=e._id.charAt(0)===\"y\"?40:80,n=Vo.constrain(e._length/i,4,9)+1),e._name===\"radialaxis\"&&(n*=2)),e.minor&&e.minor.tickmode!==\"array\"||e.tickmode===\"array\"&&(n*=100),e._roughDTick=Math.abs(r[1]-r[0])/n,kn.autoTicks(e,e._roughDTick),e._minDtick>0&&e.dtick<e._minDtick*2&&(e.dtick=e._minDtick,e.tick0=e.l2r(e._forceTick0))}e.ticklabelmode===\"period\"&&hot(e),e.tick0||(e.tick0=e.type===\"date\"?\"2000-01-01\":0),e.type===\"date\"&&e.dtick<.1&&(e.dtick=.1),dse(e)};function $O(e){return+e.substring(1)}function hot(e){var t;function r(){return!(ph(e.dtick)||e.dtick.charAt(0)!==\"M\")}var n=r(),i=kn.getTickFormat(e);if(i){var a=e._dtickInit!==e.dtick;/%[fLQsSMX]/.test(i)||(/%[HI]/.test(i)?(t=xm,a&&!n&&e.dtick<xm&&(e.dtick=xm)):/%p/.test(i)?(t=s_,a&&!n&&e.dtick<s_&&(e.dtick=s_)):/%[Aadejuwx]/.test(i)?(t=Fv,a&&!n&&e.dtick<Fv&&(e.dtick=Fv)):/%[UVW]/.test(i)?(t=Yp,a&&!n&&e.dtick<Yp&&(e.dtick=Yp)):/%[Bbm]/.test(i)?(t=R3,a&&(n?$O(e.dtick)<1:e.dtick<_L)&&(e.dtick=\"M1\")):/%[q]/.test(i)?(t=eB,a&&(n?$O(e.dtick)<3:e.dtick<yL)&&(e.dtick=\"M3\")):/%[Yy]/.test(i)&&(t=gL,a&&(n?$O(e.dtick)<12:e.dtick<mL)&&(e.dtick=\"M12\")))}n=r(),n&&e.tick0===e._dowTick0&&(e.tick0=e._rawTick0),e._definedDelta=t}function dot(e,t,r){for(var n=0;n<e.length;n++){var i=e[n].value,a=n,o=n+1;n<e.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s=e[a].value,l=e[o].value,u=Math.abs(l-s),c=r||u,f=0;c>=mL?u>=mL&&u<=Qat?f=u:f=gL:r===eB&&c>=yL?u>=yL&&u<=eot?f=u:f=eB:c>=_L?u>=_L&&u<=tot?f=u:f=R3:r===Yp&&c>=Yp?f=Yp:c>=Fv?f=Fv:r===s_&&c>=s_?f=s_:r===xm&&c>=xm&&(f=xm);var h;f>=u&&(f=u,h=!0);var d=i+f;if(t.rangebreaks&&f>0){for(var v=84,x=0,b=0;b<v;b++){var g=(b+.5)/v;t.maskBreaks(i*(1-g)+g*d)!==TL&&x++}f*=x/v,f||(e[n].drop=!0),h&&u>Yp&&(f=u)}(f>0||n===0)&&(e[n].periodX=i+f/2)}}kn.calcTicks=function(t,r){for(var n=t.type,i=t.calendar,a=t.ticklabelstep,o=t.ticklabelmode===\"period\",s=t.range[0]>t.range[1],l=!t.ticklabelindex||Vo.isArrayOrTypedArray(t.ticklabelindex)?t.ticklabelindex:[t.ticklabelindex],u=Vo.simpleMap(t.range,t.r2l,void 0,void 0,r),c=u[1]<u[0],f=Math.min(u[0],u[1]),h=Math.max(u[0],u[1]),d=Math.max(1e3,t._length||0),v=[],x=[],b=[],g=[],E=[],k=t.minor&&(t.minor.ticks||t.minor.showgrid),A=1;A>=(k?0:1);A--){var L=!A;A?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var _=A?t:Vo.extendFlat({},t,t.minor);if(L?kn.prepMinorTicks(_,t,r):kn.prepTicks(_,r),_.tickmode===\"array\"){A?(b=[],v=ise(t,!L)):(g=[],x=ise(t,!L));continue}if(_.tickmode===\"sync\"){b=[],v=vot(t);continue}var C=sB(u),M=C[0],p=C[1],P=ph(_.dtick),T=n===\"log\"&&!(P||_.dtick.charAt(0)===\"L\"),F=kn.tickFirst(_,r);if(A){if(t._tmin=F,F<M!==c)break;(n===\"category\"||n===\"multicategory\")&&(p=c?Math.max(-.5,p):Math.min(t._categories.length-.5,p))}var q=null,V=F,H;if(A){var X;P?X=t.dtick:n===\"date\"?typeof t.dtick==\"string\"&&t.dtick.charAt(0)===\"M\"&&(X=R3*t.dtick.substring(1)):X=t._roughDTick,H=Math.round((t.r2l(V)-t.r2l(t.tick0))/X)-1}var G=_.dtick;for(_.rangebreaks&&_._tick0Init!==_.tick0&&(V=QO(V,t),c||(V=kn.tickIncrement(V,G,!c,i))),A&&o&&(V=kn.tickIncrement(V,G,!c,i),H--);c?V>=p:V<=p;V=kn.tickIncrement(V,G,c,i)){if(A&&H++,_.rangebreaks&&!c){if(V<M)continue;if(_.maskBreaks(V)===TL&&QO(V,_)>=h)break}if(b.length>d||V===q)break;q=V;var N={value:V};A?(T&&V!==(V|0)&&(N.simpleLabel=!0),a>1&&H%a&&(N.skipLabel=!0),b.push(N)):(N.minor=!0,g.push(N))}}if(!g||g.length<2)l=!1;else{var W=(g[1].value-g[0].value)*(s?-1:1);Oot(W,t.tickformat)||(l=!1)}if(!l)E=b;else{var re=b.concat(g);o&&b.length&&(re=re.slice(1)),re=re.sort(function(Rt,kt){return Rt.value-kt.value}).filter(function(Rt,kt,Ct){return kt===0||Rt.value!==Ct[kt-1].value});var ae=re.map(function(Rt,kt){return Rt.minor===void 0&&!Rt.skipLabel?kt:null}).filter(function(Rt){return Rt!==null});ae.forEach(function(Rt){l.map(function(kt){var Ct=Rt+kt;Ct>=0&&Ct<re.length&&Vo.pushUnique(E,re[Ct])})})}if(k){var _e=t.minor.ticks===\"inside\"&&t.ticks===\"outside\"||t.minor.ticks===\"outside\"&&t.ticks===\"inside\";if(!_e){for(var Me=b.map(function(Rt){return Rt.value}),ke=[],ge=0;ge<g.length;ge++){var ie=g[ge],Te=ie.value;if(Me.indexOf(Te)===-1){for(var Ee=!1,Ae=0;!Ee&&Ae<b.length;Ae++)1e7+b[Ae].value===1e7+Te&&(Ee=!0);Ee||ke.push(ie)}}g=ke}}o&&dot(E,t,t._definedDelta);var ze;if(t.rangebreaks){var Ce=t._id.charAt(0)===\"y\",me=1;t.tickmode===\"auto\"&&(me=t.tickfont?t.tickfont.size:12);var Re=NaN;for(ze=b.length-1;ze>-1;ze--){if(b[ze].drop){b.splice(ze,1);continue}b[ze].value=QO(b[ze].value,t);var ce=t.c2p(b[ze].value);(Ce?Re>ce-me:Re<ce+me)?b.splice(c?ze+1:ze,1):Re=ce}}cB(t)&&Math.abs(u[1]-u[0])===360&&b.pop(),t._tmax=(b[b.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var Ge,nt=function(Rt){Rt.text=\"\",t._prevDateHead=Ge};b=b.concat(g);function ct(Rt,kt){var Ct=kn.tickText(Rt,kt.value,!1,kt.simpleLabel),Yt=kt.periodX;return Yt!==void 0&&(Ct.periodX=Yt,(Yt>h||Yt<f)&&(Yt>h&&(Ct.periodX=h),Yt<f&&(Ct.periodX=f),nt(Ct))),Ct}var qt;for(ze=0;ze<b.length;ze++){var rt=b[ze].minor,ot=b[ze].value;rt?(l&&E.indexOf(b[ze])!==-1?qt=ct(t,b[ze]):qt={x:ot},qt.minor=!0,x.push(qt)):(Ge=t._prevDateHead,qt=ct(t,b[ze]),(b[ze].skipLabel||l&&E.indexOf(b[ze])===-1)&&nt(qt),v.push(qt))}return v=v.concat(x),t._inCalcTicks=!1,o&&v.length&&(v[0].noTick=!0),v};function cse(e,t){return e.rangebreaks&&(t=t.filter(function(r){return e.maskBreaks(r.x)!==TL})),t}function vot(e){var t=e._mainAxis,r=[];if(t._vals){for(var n=0;n<t._vals.length;n++)if(!t._vals[n].noTick){var i=t.l2p(t._vals[n].x),a=e.p2l(i),o=kn.tickText(e,a);t._vals[n].minor&&(o.minor=!0,o.text=\"\"),r.push(o)}}return r=cse(e,r),r}function ise(e,t){var r=Vo.simpleMap(e.range,e.r2l),n=sB(r),i=Math.min(n[0],n[1]),a=Math.max(n[0],n[1]),o=e.type===\"category\"?e.d2l_noadd:e.d2l;e.type===\"log\"&&String(e.dtick).charAt(0)!==\"L\"&&(e.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(e.range[0],e.range[1]))-1));for(var s=[],l=0;l<=1;l++)if(!(t!==void 0&&(t&&l||t===!1&&!l))&&!(l&&!e.minor)){var u=l?e.minor.tickvals:e.tickvals,c=l?[]:e.ticktext;if(u){Vo.isArrayOrTypedArray(c)||(c=[]);for(var f=0;f<u.length;f++){var h=o(u[f]);if(h>i&&h<a){var d=kn.tickText(e,h,!1,String(c[f]));l&&(d.minor=!0,d.text=\"\"),s.push(d)}}}}return s=cse(e,s),s}var vL=[2,5,10],nse=[1,2,3,6,12],ase=[1,2,5,10,15,30],pot=[1,2,3,7,14],fse=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],hse=[-.301,0,.301,.699,1],got=[15,30,45,90,180];function _m(e,t,r){return t*Vo.roundUp(e/t,r)}kn.autoTicks=function(e,t,r){var n;function i(f){return Math.pow(f,Math.floor(Math.log(t)/Math.LN10))}if(e.type===\"date\"){e.tick0=Vo.dateTick0(e.calendar,0);var a=2*t;if(a>gL)t/=gL,n=i(10),e.dtick=\"M\"+12*_m(t,n,vL);else if(a>R3)t/=R3,e.dtick=\"M\"+_m(t,1,nse);else if(a>Fv){if(e.dtick=_m(t,Fv,e._hasDayOfWeekBreaks?[1,2,7,14]:pot),!r){var o=kn.getTickFormat(e),s=e.ticklabelmode===\"period\";s&&(e._rawTick0=e.tick0),/%[uVW]/.test(o)?e.tick0=Vo.dateTick0(e.calendar,2):e.tick0=Vo.dateTick0(e.calendar,1),s&&(e._dowTick0=e.tick0)}}else a>xm?e.dtick=_m(t,xm,nse):a>tM?e.dtick=_m(t,tM,ase):a>xL?e.dtick=_m(t,xL,ase):(n=i(10),e.dtick=_m(t,n,vL))}else if(e.type===\"log\"){e.tick0=0;var l=Vo.simpleMap(e.range,e.r2l);if(e._isMinor&&(t*=1.5),t>.7)e.dtick=Math.ceil(t);else if(Math.abs(l[1]-l[0])<1){var u=1.5*Math.abs((l[1]-l[0])/t);t=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/u,n=i(10),e.dtick=\"L\"+_m(t,n,vL)}else e.dtick=t>.3?\"D2\":\"D1\"}else e.type===\"category\"||e.type===\"multicategory\"?(e.tick0=0,e.dtick=Math.ceil(Math.max(t,1))):cB(e)?(e.tick0=0,n=1,e.dtick=_m(t,n,got)):(e.tick0=0,n=i(10),e.dtick=_m(t,n,vL));if(e.dtick===0&&(e.dtick=1),!ph(e.dtick)&&typeof e.dtick!=\"string\"){var c=e.dtick;throw e.dtick=1,\"ax.dtick error: \"+String(c)}};function dse(e){var t=e.dtick;if(e._tickexponent=0,!ph(t)&&typeof t!=\"string\"&&(t=1),(e.type===\"category\"||e.type===\"multicategory\")&&(e._tickround=null),e.type===\"date\"){var r=e.r2l(e.tick0),n=e.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(String(t).charAt(0)===\"M\")i>10||n.substr(5)!==\"01-01\"?e._tickround=\"d\":e._tickround=+t.substr(1)%12===0?\"y\":\"m\";else if(t>=Fv&&i<=10||t>=Fv*15)e._tickround=\"d\";else if(t>=tM&&i<=16||t>=xm)e._tickround=\"M\";else if(t>=xL&&i<=19||t>=tM)e._tickround=\"S\";else{var a=e.l2r(r+t).replace(/^-/,\"\").length;e._tickround=Math.max(i,a)-20,e._tickround<0&&(e._tickround=4)}}else if(ph(t)||t.charAt(0)===\"L\"){var o=e.range.map(e.r2d||Number);ph(t)||(t=Number(t.substr(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var s=Math.max(Math.abs(o[0]),Math.abs(o[1])),l=Math.floor(Math.log(s)/Math.LN10+.01),u=e.minexponent===void 0?3:e.minexponent;Math.abs(l)>u&&(wL(e.exponentformat)&&!lB(l)?e._tickexponent=3*Math.round((l-1)/3):e._tickexponent=l)}else e._tickround=null}kn.tickIncrement=function(e,t,r,n){var i=r?-1:1;if(ph(t))return Vo.increment(e,i*t);var a=t.charAt(0),o=i*Number(t.substr(1));if(a===\"M\")return Vo.incrementMonth(e,o,n);if(a===\"L\")return Math.log(Math.pow(10,e)+o)/Math.LN10;if(a===\"D\"){var s=t===\"D2\"?hse:fse,l=e+i*.01,u=Vo.roundUp(Vo.mod(l,1),s,r);return Math.floor(l)+Math.log(w0.round(Math.pow(10,u),1))/Math.LN10}throw\"unrecognized dtick \"+String(t)};kn.tickFirst=function(e,t){var r=e.r2l||Number,n=Vo.simpleMap(e.range,r,void 0,void 0,t),i=n[1]<n[0],a=i?Math.floor:Math.ceil,o=sB(n)[0],s=e.dtick,l=r(e.tick0);if(ph(s)){var u=a((o-l)/s)*s+l;return(e.type===\"category\"||e.type===\"multicategory\")&&(u=Vo.constrain(u,0,e._categories.length-1)),u}var c=s.charAt(0),f=Number(s.substr(1));if(c===\"M\"){for(var h=0,d=l,v,x,b;h<10;){if(v=kn.tickIncrement(d,s,i,e.calendar),(v-o)*(d-o)<=0)return i?Math.min(d,v):Math.max(d,v);x=(o-(d+v)/2)/(v-d),b=c+(Math.abs(Math.round(x))||1)*f,d=kn.tickIncrement(d,b,x<0?!i:i,e.calendar),h++}return Vo.error(\"tickFirst did not converge\",e),d}else{if(c===\"L\")return Math.log(a((Math.pow(10,o)-l)/f)*f+l)/Math.LN10;if(c===\"D\"){var g=s===\"D2\"?hse:fse,E=Vo.roundUp(Vo.mod(o,1),g,i);return Math.floor(o)+Math.log(w0.round(Math.pow(10,E),1))/Math.LN10}else throw\"unrecognized dtick \"+String(s)}};kn.tickText=function(e,t,r,n){var i=vse(e,t),a=e.tickmode===\"array\",o=r||a,s=e.type,l=s===\"category\"?e.d2l_noadd:e.d2l,u,c=function(b){var g=e.l2p(b);return g>=0&&g<=e._length?b:null};if(a&&Vo.isArrayOrTypedArray(e.ticktext)){var f=Vo.simpleMap(e.range,e.r2l),h=(Math.abs(f[1]-f[0])-(e._lBreaks||0))/1e4;for(u=0;u<e.ticktext.length&&!(Math.abs(t-l(e.tickvals[u]))<h);u++);if(u<e.ticktext.length)return i.text=String(e.ticktext[u]),i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)],i}function d(b){if(b===void 0)return!0;if(r)return b===\"none\";var g={first:e._tmin,last:e._tmax}[b];return b!==\"all\"&&t!==g}var v=r?\"never\":e.exponentformat!==\"none\"&&d(e.showexponent)?\"hide\":\"\";if(s===\"date\"?mot(e,i,r,o):s===\"log\"?yot(e,i,r,o,v):s===\"category\"?_ot(e,i):s===\"multicategory\"?xot(e,i,r):cB(e)?wot(e,i,r,o,v):bot(e,i,r,o,v),n||(e.tickprefix&&!d(e.showtickprefix)&&(i.text=e.tickprefix+i.text),e.ticksuffix&&!d(e.showticksuffix)&&(i.text+=e.ticksuffix)),e.labelalias&&e.labelalias.hasOwnProperty(i.text)){var x=e.labelalias[i.text];typeof x==\"string\"&&(i.text=x)}return(e.tickson===\"boundaries\"||e.showdividers)&&(i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)]),i};kn.hoverLabelText=function(e,t,r){r&&(e=Vo.extendFlat({},e,{hoverformat:r}));var n=Vo.isArrayOrTypedArray(t)?t[0]:t,i=Vo.isArrayOrTypedArray(t)?t[1]:void 0;if(i!==void 0&&i!==n)return kn.hoverLabelText(e,n,r)+\" - \"+kn.hoverLabelText(e,i,r);var a=e.type===\"log\"&&n<=0,o=kn.tickText(e,e.c2l(a?-n:n),\"hover\").text;return a?n===0?\"0\":kb+o:o};function vse(e,t,r){var n=e.tickfont||{};return{x:t,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}function mot(e,t,r,n){var i=e._tickround,a=r&&e.hoverformat||kn.getTickFormat(e);n=!a&&n,n&&(ph(i)?i=4:i={y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var o=Vo.formatDate(t.x,a,i,e._dateFormat,e.calendar,e._extraFormat),s,l=o.indexOf(`\n",
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if(l===\"D\")t.text=String(Math.round(Math.pow(10,Vo.mod(o,1)))),t.fontSize*=.75;else throw\"unrecognized dtick \"+String(a);if(e.dtick===\"D1\"){var h=String(t.text).charAt(0);(h===\"0\"||h===\"1\")&&(e._id.charAt(0)===\"y\"?t.dx-=t.fontSize/4:(t.dy+=t.fontSize/2,t.dx+=(e.range[1]>e.range[0]?1:-1)*t.fontSize*(o<0?.5:.25)))}}function _ot(e,t){var r=e._categories[Math.round(t.x)];r===void 0&&(r=\"\"),t.text=String(r)}function xot(e,t,r){var n=Math.round(t.x),i=e._categories[n]||[],a=i[1]===void 0?\"\":String(i[1]),o=i[0]===void 0?\"\":String(i[0]);r?t.text=o+\" - \"+a:(t.text=a,t.text2=o)}function bot(e,t,r,n,i){i===\"never\"?i=\"\":e.showexponent===\"all\"&&Math.abs(t.x/e.dtick)<1e-6&&(i=\"hide\"),t.text=iM(t.x,e,i,n)}function wot(e,t,r,n,i){if(e.thetaunit===\"radians\"&&!r){var a=t.x/180;if(a===0)t.text=\"0\";else{var o=Tot(a);if(o[1]>=100)t.text=iM(Vo.deg2rad(t.x),e,i,n);else{var s=t.x<0;o[1]===1?o[0]===1?t.text=\"\\u03C0\":t.text=o[0]+\"\\u03C0\":t.text=[\"<sup>\",o[0],\"</sup>\",\"\\u2044\",\"<sub>\",o[1],\"</sub>\",\"\\u03C0\"].join(\"\"),s&&(t.text=kb+t.text)}}}else t.text=iM(t.x,e,i,n)}function Tot(e){function t(s,l){return Math.abs(s-l)<=1e-6}function r(s,l){return t(l,0)?s:r(l,s%l)}function n(s){for(var l=1;!t(Math.round(s*l)/l,s);)l*=10;return l}var i=n(e),a=e*i,o=Math.abs(r(a,i));return[Math.round(a/o),Math.round(i/o)]}var Aot=[\"f\",\"p\",\"n\",\"\\u03BC\",\"m\",\"\",\"k\",\"M\",\"G\",\"T\"];function wL(e){return e===\"SI\"||e===\"B\"}function lB(e){return e>14||e<-15}function iM(e,t,r,n){var i=e<0,a=t._tickround,o=r||t.exponentformat||\"B\",s=t._tickexponent,l=kn.getTickFormat(t),u=t.separatethousands;if(n){var c={exponentformat:o,minexponent:t.minexponent,dtick:t.showexponent===\"none\"?t.dtick:ph(e)&&Math.abs(e)||1,range:t.showexponent===\"none\"?t.range.map(t.r2d):[0,e||1]};dse(c),a=(Number(c._tickround)||0)+4,s=c._tickexponent,t.hoverformat&&(l=t.hoverformat)}if(l)return t._numFormat(l)(e).replace(/-/g,kb);var f=Math.pow(10,-a)/2;if(o===\"none\"&&(s=0),e=Math.abs(e),e<f)e=\"0\",i=!1;else{if(e+=f,s&&(e*=Math.pow(10,-s),a+=s),a===0)e=String(Math.floor(e));else if(a<0){e=String(Math.round(e)),e=e.substr(0,e.length+a);for(var h=a;h<0;h++)e+=\"0\"}else{e=String(e);var d=e.indexOf(\".\")+1;d&&(e=e.substr(0,d+a).replace(/\\.?0+$/,\"\"))}e=Vo.numSeparate(e,t._separators,u)}if(s&&o!==\"hide\"){wL(o)&&lB(s)&&(o=\"power\");var v;s<0?v=kb+-s:o!==\"power\"?v=\"+\"+s:v=String(s),o===\"e\"||o===\"E\"?e+=o+v:o===\"power\"?e+=\"\\xD710<sup>\"+v+\"</sup>\":o===\"B\"&&s===9?e+=\"B\":wL(o)&&(e+=Aot[s/3+5])}return i?kb+e:e}kn.getTickFormat=function(e){var t;function r(l){return typeof l!=\"string\"?l:Number(l.replace(\"M\",\"\"))*R3}function n(l,u){var c=[\"L\",\"D\"];if(typeof l==typeof u){if(typeof l==\"number\")return l-u;var f=c.indexOf(l.charAt(0)),h=c.indexOf(u.charAt(0));return f===h?Number(l.replace(/(L|D)/g,\"\"))-Number(u.replace(/(L|D)/g,\"\")):f-h}else return typeof l==\"number\"?1:-1}function i(l,u,c){var f=c||function(v){return v},h=u[0],d=u[1];return(!h&&typeof h!=\"number\"||f(h)<=f(l))&&(!d&&typeof d!=\"number\"||f(d)>=f(l))}function a(l,u){var c=u[0]===null,f=u[1]===null,h=n(l,u[0])>=0,d=n(l,u[1])<=0;return(c||h)&&(f||d)}var o,s;if(e.tickformatstops&&e.tickformatstops.length>0)switch(e.type){case\"date\":case\"linear\":{for(t=0;t<e.tickformatstops.length;t++)if(s=e.tickformatstops[t],s.enabled&&i(e.dtick,s.dtickrange,r)){o=s;break}break}case\"log\":{for(t=0;t<e.tickformatstops.length;t++)if(s=e.tickformatstops[t],s.enabled&&a(e.dtick,s.dtickrange)){o=s;break}break}default:}return o?o.value:e.tickformat};kn.getSubplots=function(e,t){var r=e._fullLayout._subplots,n=r.cartesian.concat(r.gl2d||[]),i=t?kn.findSubplotsWithAxis(n,t):n;return i.sort(function(a,o){var s=a.substr(1).split(\"y\"),l=o.substr(1).split(\"y\");return s[0]===l[0]?+s[1]-+l[1]:+s[0]-+l[0]}),i};kn.findSubplotsWithAxis=function(e,t){for(var r=new RegExp(t._id.charAt(0)===\"x\"?\"^\"+t._id+\"y\":t._id+\"$\"),n=[],i=0;i<e.length;i++){var a=e[i];r.test(a)&&n.push(a)}return n};kn.makeClipPaths=function(e){var t=e._fullLayout;if(!t._hasOnlyLargeSploms){var r={_offset:0,_length:t.width,_id:\"\"},n={_offset:0,_length:t.height,_id:\"\"},i=kn.list(e,\"x\",!0),a=kn.list(e,\"y\",!0),o=[],s,l;for(s=0;s<i.length;s++)for(o.push({x:i[s],y:n}),l=0;l<a.length;l++)s===0&&o.push({x:r,y:a[l]}),o.push({x:i[s],y:a[l]});var u=t._clips.selectAll(\".axesclip\").data(o,function(c){return c.x._id+c.y._id});u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",function(c){return\"clip\"+t._uid+c.x._id+c.y._id}).append(\"rect\"),u.exit().remove(),u.each(function(c){w0.select(this).select(\"rect\").attr({x:c.x._offset||0,y:c.y._offset||0,width:c.x._length||1,height:c.y._length||1})})}};kn.draw=function(e,t,r){var n=e._fullLayout;t===\"redraw\"&&n._paper.selectAll(\"g.subplot\").each(function(l){var u=l[0],c=n._plots[u];if(c){var f=c.xaxis,h=c.yaxis;c.xaxislayer.selectAll(\".\"+f._id+\"tick\").remove(),c.yaxislayer.selectAll(\".\"+h._id+\"tick\").remove(),c.xaxislayer.selectAll(\".\"+f._id+\"tick2\").remove(),c.yaxislayer.selectAll(\".\"+h._id+\"tick2\").remove(),c.xaxislayer.selectAll(\".\"+f._id+\"divider\").remove(),c.yaxislayer.selectAll(\".\"+h._id+\"divider\").remove(),c.minorGridlayer&&c.minorGridlayer.selectAll(\"path\").remove(),c.gridlayer&&c.gridlayer.selectAll(\"path\").remove(),c.zerolinelayer&&c.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+f._id+\"title\").remove(),n._infolayer.select(\".g-\"+h._id+\"title\").remove()}});var i=!t||t===\"redraw\"?kn.listIds(e):t,a=kn.list(e),o=a.filter(function(l){return l.autoshift}).map(function(l){return l.overlaying});i.map(function(l){var u=kn.getFromId(e,l);if(u.tickmode===\"sync\"&&u.overlaying){var c=i.findIndex(function(f){return f===u.overlaying});c>=0&&i.unshift(i.splice(c,1).shift())}});var s={false:{left:0,right:0}};return Vo.syncOrAsync(i.map(function(l){return function(){if(l){var u=kn.getFromId(e,l);r||(r={}),r.axShifts=s,r.overlayingShiftedAx=o;var c=kn.drawOne(e,u,r);return u._shiftPusher&&oB(u,u._fullDepth||0,s,!0),u._r=u.range.slice(),u._rl=Vo.simpleMap(u._r,u.r2l),c}}}))};kn.drawOne=function(e,t,r){r=r||{};var n=r.axShifts||{},i=r.overlayingShiftedAx||[],a,o,s;t.setScale();var l=e._fullLayout,u=t._id,c=u.charAt(0),f=kn.counterLetter(u),h=l._plots[t._mainSubplot];if(!h)return;if(t._shiftPusher=t.autoshift||i.indexOf(t._id)!==-1||i.indexOf(t.overlaying)!==-1,t._shiftPusher&t.anchor===\"free\"){var d=t.linewidth/2||0;t.ticks===\"inside\"&&(d+=t.ticklen),oB(t,d,n,!0),oB(t,t.shift||0,n,!1)}(r.skipTitle!==!0||t._shift===void 0)&&(t._shift=qot(t,n));var v=h[c+\"axislayer\"],x=t._mainLinePosition,b=x+=t._shift,g=t._mainMirrorPosition,E=t._vals=kn.calcTicks(t),k=[t.mirror,b,g].join(\"_\");for(a=0;a<E.length;a++)E[a].axInfo=k;t._selections={},t._tickAngles&&(t._prevTickAngles=t._tickAngles),t._tickAngles={},t._depth=null;var A={};function L(rt){var ot=u+(rt||\"tick\");return A[ot]||(A[ot]=kot(t,ot,b)),A[ot]}if(t.visible){var _=kn.makeTransTickFn(t),C=kn.makeTransTickLabelFn(t),M,p,P=t.ticks===\"inside\",T=t.ticks===\"outside\";if(t.tickson===\"boundaries\"){var F=Sot(t,E);p=kn.clipEnds(t,F),M=P?p:F}else p=kn.clipEnds(t,E),M=P&&t.ticklabelmode!==\"period\"?p:E;var q=t._gridVals=p,V=Eot(t,E);if(!l._hasOnlyLargeSploms){var H=t._subplotsWith,X={};for(a=0;a<H.length;a++){o=H[a],s=l._plots[o];var G=s[f+\"axis\"],N=G._mainAxis._id;if(!X[N]){X[N]=1;var W=c===\"x\"?\"M0,\"+G._offset+\"v\"+G._length:\"M\"+G._offset+\",0h\"+G._length;kn.drawGrid(e,t,{vals:q,counterAxis:G,layer:s.gridlayer.select(\".\"+u),minorLayer:s.minorGridlayer.select(\".\"+u),path:W,transFn:_}),kn.drawZeroLine(e,t,{counterAxis:G,layer:s.zerolinelayer,path:W,transFn:_})}}}var re,ae=kn.getTickSigns(t),_e=kn.getTickSigns(t,\"minor\");if(t.ticks||t.minor&&t.minor.ticks){var Me=kn.makeTickPath(t,b,ae[2]),ke=kn.makeTickPath(t,b,_e[2],{minor:!0}),ge,ie,Te,Ee;if(t._anchorAxis&&t.mirror&&t.mirror!==!0?(ge=kn.makeTickPath(t,g,ae[3]),ie=kn.makeTickPath(t,g,_e[3],{minor:!0}),Te=Me+ge,Ee=ke+ie):(ge=\"\",ie=\"\",Te=Me,Ee=ke),t.showdividers&&T&&t.tickson===\"boundaries\"){var Ae={};for(a=0;a<V.length;a++)Ae[V[a].x]=1;re=function(rt){return Ae[rt.x]?ge:Te}}else re=function(rt){return rt.minor?Ee:Te}}if(kn.drawTicks(e,t,{vals:M,layer:v,path:re,transFn:_}),t.mirror===\"allticks\"){var ze=Object.keys(t._linepositions||{});for(a=0;a<ze.length;a++){o=ze[a],s=l._plots[o];var Ce=t._linepositions[o]||[],me=Ce[0],Re=Ce[1],ce=Ce[2],Ge=kn.makeTickPath(t,me,ce?ae[0]:_e[0],{minor:ce})+kn.makeTickPath(t,Re,ce?ae[1]:_e[1],{minor:ce});kn.drawTicks(e,t,{vals:M,layer:s[c+\"axislayer\"],path:Ge,transFn:_})}}var nt=[];if(nt.push(function(){return kn.drawLabels(e,t,{vals:E,layer:v,plotinfo:s,transFn:C,labelFns:kn.makeLabelFns(t,b)})}),t.type===\"multicategory\"){var ct={x:2,y:10}[c];nt.push(function(){var rt={x:\"height\",y:\"width\"}[c],ot=L()[rt]+ct+(t._tickAngles[u+\"tick\"]?t.tickfont.size*rM:0);return kn.drawLabels(e,t,{vals:Mot(t,E),layer:v,cls:u+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:_,labelFns:kn.makeLabelFns(t,b+ot*ae[4])})}),nt.push(function(){return t._depth=ae[4]*(L(\"tick2\")[t.side]-b),Lot(e,t,{vals:V,layer:v,path:kn.makeTickPath(t,b,ae[4],{len:t._depth}),transFn:_})})}else t.title.hasOwnProperty(\"standoff\")&&nt.push(function(){t._depth=ae[4]*(L()[t.side]-b)});var qt=QS.getComponentMethod(\"rangeslider\",\"isVisible\")(t);return!r.skipTitle&&!(qt&&t.side===\"bottom\")&&nt.push(function(){return Pot(e,t)}),nt.push(function(){var rt=t.side.charAt(0),ot=not[t.side].charAt(0),Rt=kn.getPxPosition(e,t),kt=T?t.ticklen:0,Ct,Yt,xr,er;(t.automargin||qt||t._shiftPusher)&&(t.type===\"multicategory\"?Ct=L(\"tick2\"):(Ct=L(),c===\"x\"&&rt===\"b\"&&(t._depth=Math.max(Ct.width>0?Ct.bottom-Rt:0,kt))));var Ke=0,xt=0;if(t._shiftPusher&&(Ke=Math.max(kt,Ct.height>0?rt===\"l\"?Rt-Ct.left:Ct.right-Rt:0),t.title.text!==l._dfltTitle[c]&&(xt=(t._titleStandoff||0)+(t._titleScoot||0),rt===\"l\"&&(xt+=sse(t))),t._fullDepth=Math.max(Ke,xt)),t.automargin){Yt={x:0,y:0,r:0,l:0,t:0,b:0};var bt=[0,1],Lt=typeof t._shift==\"number\"?t._shift:0;if(c===\"x\"){if(rt===\"b\"?Yt[rt]=t._depth:(Yt[rt]=t._depth=Math.max(Ct.width>0?Rt-Ct.top:0,kt),bt.reverse()),Ct.width>0){var St=Ct.right-(t._offset+t._length);St>0&&(Yt.xr=1,Yt.r=St);var Et=t._offset-Ct.left;Et>0&&(Yt.xl=0,Yt.l=Et)}}else 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r=Object.keys(Qoe).reduce(function(n,i){return t.indexOf(i)!==-1&&Qoe[i].forEach(function(a){n[a]=1}),n},{});Object.keys(e).forEach(function(n){r[n]||(n.length===1?e[n]=0:delete e[n])})}}function Sot(e,t){var r=[],n,i=function(a,o){var s=a.xbnd[o];s!==null&&r.push(Vo.extendFlat({},a,{x:s}))};if(t.length){for(n=0;n<t.length;n++)i(t[n],0);i(t[n-1],1)}return r}function Mot(e,t){for(var r=[],n={},i=0;i<t.length;i++){var a=t[i];n[a.text2]?n[a.text2].push(a.x):n[a.text2]=[a.x]}for(var o in n)r.push(vse(e,Vo.interp(n[o],.5),o));return r}function Eot(e,t){var r=[],n,i,a=t.length&&t[t.length-1].x<t[0].x,o=function(l,u){var c=l.xbnd[u];c!==null&&r.push(Vo.extendFlat({},l,{x:c}))};if(e.showdividers&&t.length){for(n=0;n<t.length;n++){var s=t[n];s.text2!==i&&o(s,a?1:0),i=s.text2}o(t[n-1],a?0:1)}return r}function kot(e,t,r){var n,i,a,o;if(e._selections[t].size())n=1/0,i=-1/0,a=1/0,o=-1/0,e._selections[t].each(function(){var 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F=qv.select(this).select(\"g.legendpoints\").selectAll(\"path.legendwaterfall\").data(T);F.enter().append(\"path\").classed(\"legendwaterfall\",!0).attr(\"transform\",l).style(\"stroke-miterlimit\",1),F.exit().remove(),F.each(function(q){var V=qv.select(this),H=M[q[0]].marker,X=u(void 0,H.line,F3,Ib);V.attr(\"d\",q[1]).style(\"stroke-width\",X+\"px\").call(T0.fill,H.color),X&&V.call(T0.stroke,H.line.color)})}function d(C){x(C,this)}function v(C){x(C,this,\"funnel\")}function x(C,M,p){var P=C[0].trace,T=P.marker||{},F=T.line||{},q=T.cornerradius?\"M6,3a3,3,0,0,1-3,3H-3a3,3,0,0,1-3-3V-3a3,3,0,0,1,3-3H3a3,3,0,0,1,3,3Z\":\"M6,6H-6V-6H6Z\",V=p?P.visible&&P.type===p:MB.traceIs(P,\"bar\"),H=qv.select(M).select(\"g.legendpoints\").selectAll(\"path.legend\"+p).data(V?[C]:[]);H.enter().append(\"path\").classed(\"legend\"+p,!0).attr(\"d\",q).attr(\"transform\",l),H.exit().remove(),H.each(function(X){var G=qv.select(this),N=X[0],W=u(N.mlw,T.line,F3,Ib);G.style(\"stroke-width\",W+\"px\");var 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i=e.data()[0][0];if(!r._inHover&&i&&!i.trace.showlegend){e.remove();return}var a=e.select(\"g[class*=math-group]\"),o=a.node(),s=qL(r);r||(r=t._fullLayout[s]);var l=r.borderwidth,u;n===q3?u=r.title.font:i.groupTitle?u=i.groupTitle.font:u=r.font;var c=u.size*fle,f,h;if(o){var d=mh.bBox(o);f=d.height,h=d.width,n===q3?mh.setTranslate(a,l,l+f*.75):mh.setTranslate(a,0,f*.25)}else{var v=\".\"+s+(n===q3?\"title\":\"\")+\"text\",x=e.select(v),b=Rb.lineCount(x),g=x.node();if(f=c*b,h=g?mh.bBox(g).width:0,n===q3)r.title.side===\"left\"&&(h+=Vh.itemGap*2),Rb.positionText(x,l+Vh.titlePad,l+c);else{var E=Vh.itemGap*2+r.indentation+r.itemwidth;i.groupTitle&&(E=Vh.itemGap,h-=r.indentation+r.itemwidth),Rb.positionText(x,E,-c*((b-1)/2-.3))}}n===q3?(r._titleWidth=h,r._titleHeight=f):(i.lineHeight=c,i.height=Math.max(f,16)+3,i.width=h)}function xst(e){var t=0,r=0,n=e.title.side;return n&&(n.indexOf(\"left\")!==-1&&(t=e._titleWidth),n.indexOf(\"top\")!==-1&&(r=e._titleHeight)),[t,r]}function bst(e,t,r,n){var i=e._fullLayout,a=qL(n);n||(n=i[a]);var o=i._size,s=lle.isVertical(n),l=lle.isGrouped(n),u=n.entrywidthmode===\"fraction\",c=n.borderwidth,f=2*c,h=Vh.itemGap,d=n.indentation+n.itemwidth+h*2,v=2*(c+h),x=FL(n),b=n.y<0||n.y===0&&x===\"top\",g=n.y>1||n.y===1&&x===\"bottom\",E=n.tracegroupgap,k={};n._maxHeight=Math.max(b||g?i.height/2:o.h,30);var A=0;n._width=0,n._height=0;var L=xst(n);if(s)r.each(function(ge){var ie=ge[0].height;mh.setTranslate(this,c+L[0],c+L[1]+n._height+ie/2+h),n._height+=ie,n._width=Math.max(n._width,ge[0].width)}),A=d+n._width,n._width+=h+d+f,n._height+=v,l&&(t.each(function(ge,ie){mh.setTranslate(this,0,ie*n.tracegroupgap)}),n._height+=(n._lgroupsLength-1)*n.tracegroupgap);else{var _=zL(n),C=n.x<0||n.x===0&&_===\"right\",M=n.x>1||n.x===1&&_===\"left\",p=g||b,P=i.width/2;n._maxWidth=Math.max(C?p&&_===\"left\"?o.l+o.w:P:M?p&&_===\"right\"?o.r+o.w:P:o.w,2*d);var T=0,F=0;r.each(function(ge){var ie=IL(ge,n,d);T=Math.max(T,ie),F+=ie}),A=null;var q=0;if(l){var V=0,H=0,X=0;t.each(function(){var ge=0,ie=0;Sp.select(this).selectAll(\"g.traces\").each(function(Ee){var Ae=IL(Ee,n,d),ze=Ee[0].height;mh.setTranslate(this,L[0],L[1]+c+h+ze/2+ie),ie+=ze,ge=Math.max(ge,Ae),k[Ee[0].trace.legendgroup]=ge});var Te=ge+h;H>0&&Te+c+H>n._maxWidth?(q=Math.max(q,H),H=0,X+=V+E,V=ie):V=Math.max(V,ie),mh.setTranslate(this,H,X),H+=Te}),n._width=Math.max(q,H)+c,n._height=X+V+v}else{var G=r.size(),N=F+f+(G-1)*h<n._maxWidth,W=0,re=0,ae=0,_e=0;r.each(function(ge){var ie=ge[0].height,Te=IL(ge,n,d,l),Ee=N?Te:T;u||(Ee+=h),Ee+c+re-h>=n._maxWidth&&(q=Math.max(q,_e),re=0,ae+=W,n._height+=W,W=0),mh.setTranslate(this,L[0]+c+re,L[1]+c+ae+ie/2+h),_e=re+Te+h,re+=Ee,W=Math.max(W,ie)}),N?(n._width=re+f,n._height=W+v):(n._width=Math.max(q,_e)+f,n._height+=W+v)}}n._width=Math.ceil(Math.max(n._width+L[0],n._titleWidth+2*(c+Vh.titlePad))),n._height=Math.ceil(Math.max(n._height+L[1],n._titleHeight+2*(c+Vh.itemGap))),n._effHeight=Math.min(n._height,n._maxHeight);var Me=e._context.edits,ke=Me.legendText||Me.legendPosition;r.each(function(ge){var ie=Sp.select(this).select(\".\"+a+\"toggle\"),Te=ge[0].height,Ee=ge[0].trace.legendgroup,Ae=IL(ge,n,d);l&&Ee!==\"\"&&(Ae=k[Ee]);var ze=ke?d:A||Ae;!s&&!u&&(ze+=h/2),mh.setRect(ie,0,-Te/2,ze,Te)})}function wst(e,t,r,n){var i=e._fullLayout,a=i[t],o=zL(a),s=FL(a),l=a.xref===\"paper\",u=a.yref===\"paper\";e._fullLayout._reservedMargin[t]={};var c=a.y<.5?\"b\":\"t\",f=a.x<.5?\"l\":\"r\",h={r:i.width-r,l:r+a._width,b:i.height-n,t:n+a._effHeight};if(l&&u)return PB.autoMargin(e,t,{x:a.x,y:a.y,l:a._width*O3[o],r:a._width*ole[o],b:a._effHeight*ole[s],t:a._effHeight*O3[s]});l?e._fullLayout._reservedMargin[t][c]=h[c]:u||a.orientation===\"v\"?e._fullLayout._reservedMargin[t][f]=h[f]:e._fullLayout._reservedMargin[t][c]=h[c]}function zL(e){return gh.isRightAnchor(e)?\"right\":gh.isCenterAnchor(e)?\"center\":\"left\"}function FL(e){return gh.isBottomAnchor(e)?\"bottom\":gh.isMiddleAnchor(e)?\"middle\":\"top\"}function qL(e){return e._id||\"legend\"}});var qB=ye(FB=>{\"use strict\";var Db=xa(),Sy=uo(),vle=id(),Rf=Mr(),Tst=Rf.pushUnique,DB=Rf.strTranslate,Ast=Rf.strRotate,Sst=g3(),A0=Ll(),Mst=qse(),bm=ao(),sd=va(),OL=gv(),wm=Qa(),Est=ad().zindexSeparator,U3=ba(),Ag=rp(),zb=IS(),kst=bB(),Cst=RB(),wle=zb.YANGLE,zB=Math.PI*wle/180,Lst=1/Math.sin(zB),Pst=Math.cos(zB),Ist=Math.sin(zB),Bc=zb.HOVERARROWSIZE,Us=zb.HOVERTEXTPAD,ple={box:!0,ohlc:!0,violin:!0,candlestick:!0},Rst={scatter:!0,scattergl:!0,splom:!0};function gle(e,t){return e.distance-t.distance}FB.hover=function(t,r,n,i){t=Rf.getGraphDiv(t);var a=r.target;Rf.throttle(t._fullLayout._uid+zb.HOVERID,zb.HOVERMINTIME,function(){Dst(t,r,n,i,a)})};FB.loneHover=function(t,r){var n=!0;Array.isArray(t)||(n=!1,t=[t]);var i=r.gd,a=Ele(i),o=kle(i),s=t.map(function(b){var g=b._x0||b.x0||b.x||0,E=b._x1||b.x1||b.x||0,k=b._y0||b.y0||b.y||0,A=b._y1||b.y1||b.y||0,L=b.eventData;if(L){var _=Math.min(g,E),C=Math.max(g,E),M=Math.min(k,A),p=Math.max(k,A),P=b.trace;if(U3.traceIs(P,\"gl3d\")){var T=i._fullLayout[P.scene]._scene.container,F=T.offsetLeft,q=T.offsetTop;_+=F,C+=F,M+=q,p+=q}L.bbox={x0:_+o,x1:C+o,y0:M+a,y1:p+a},r.inOut_bbox&&r.inOut_bbox.push(L.bbox)}else L=!1;return{color:b.color||sd.defaultLine,x0:b.x0||b.x||0,x1:b.x1||b.x||0,y0:b.y0||b.y||0,y1:b.y1||b.y||0,xLabel:b.xLabel,yLabel:b.yLabel,zLabel:b.zLabel,text:b.text,name:b.name,idealAlign:b.idealAlign,borderColor:b.borderColor,fontFamily:b.fontFamily,fontSize:b.fontSize,fontColor:b.fontColor,fontWeight:b.fontWeight,fontStyle:b.fontStyle,fontVariant:b.fontVariant,nameLength:b.nameLength,textAlign:b.textAlign,trace:b.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:b.hovertemplate||!1,hovertemplateLabels:b.hovertemplateLabels||!1,eventData:L}}),l=!1,u=Ale(s,{gd:i,hovermode:\"closest\",rotateLabels:l,bgColor:r.bgColor||sd.background,container:Db.select(r.container),outerContainer:r.outerContainer||r.container}),c=u.hoverLabels,f=5,h=0,d=0;c.sort(function(b,g){return b.y0-g.y0}).each(function(b,g){var E=b.y0-b.by/2;E-f<h?b.offset=h-E+f:b.offset=0,h=E+b.by+b.offset,g===r.anchorIndex&&(d=b.offset)}).each(function(b){b.offset-=d});var v=i._fullLayout._invScaleX,x=i._fullLayout._invScaleY;return Mle(c,l,v,x),n?c:c.node()};function Dst(e,t,r,n,i){r||(r=\"xy\"),typeof r==\"string\"&&(r=r.split(Est)[0]);var a=Array.isArray(r)?r:[r],o,s=e._fullLayout,l=s.hoversubplots,u=s._plots||[],c=u[r],f=s._has(\"cartesian\"),h=t.hovermode||s.hovermode,d=(h||\"\").charAt(0)===\"x\",v=(h||\"\").charAt(0)===\"y\",x,b;if(f&&(d||v)&&l===\"axis\"){for(var g=a.length,E=0;E<g;E++)if(o=a[E],u[o]){x=wm.getFromId(e,o,\"x\"),b=wm.getFromId(e,o,\"y\");var k=(d?x:b)._subplotsWith;if(k&&k.length)for(var A=0;A<k.length;A++)Tst(a,k[A])}}if(c&&l!==\"single\"){var L=c.overlays.map(function(Ni){return Ni.id});a=a.concat(L)}for(var _=a.length,C=new Array(_),M=new Array(_),p=!1,P=0;P<_;P++)if(o=a[P],u[o])p=!0,C[P]=u[o].xaxis,M[P]=u[o].yaxis;else if(s[o]&&s[o]._subplot){var T=s[o]._subplot;C[P]=T.xaxis,M[P]=T.yaxis}else{Rf.warn(\"Unrecognized subplot: \"+o);return}if(h&&!p&&(h=\"closest\"),[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(h)===-1||!e.calcdata||e.querySelector(\".zoombox\")||e._dragging)return OL.unhoverRaw(e,t);var F=s.hoverdistance;F===-1&&(F=1/0);var q=s.spikedistance;q===-1&&(q=1/0);var V=[],H=[],X,G,N,W,re,ae,_e,Me,ke,ge,ie,Te,Ee,Ae={hLinePoint:null,vLinePoint:null},ze=!1;if(Array.isArray(t))for(h=\"array\",N=0;N<t.length;N++)re=e.calcdata[t[N].curveNumber||0],re&&(ae=re[0].trace,re[0].trace.hoverinfo!==\"skip\"&&(H.push(re),ae.orientation===\"h\"&&(ze=!0)));else{var Ce=e.calcdata.slice();for(Ce.sort(function(Ni,_n){var $i=Ni[0].trace.zorder||0,zn=_n[0].trace.zorder||0;return $i-zn}),W=0;W<Ce.length;W++)re=Ce[W],ae=re[0].trace,ae.hoverinfo!==\"skip\"&&Ag.isTraceInSubplots(ae,a)&&(H.push(re),ae.orientation===\"h\"&&(ze=!0));var me=!i,Re,ce;if(me)\"xpx\"in t?Re=t.xpx:Re=C[0]._length/2,\"ypx\"in t?ce=t.ypx:ce=M[0]._length/2;else{if(Sst.triggerHandler(e,\"plotly_beforehover\",t)===!1)return;var Ge=i.getBoundingClientRect();Re=t.clientX-Ge.left,ce=t.clientY-Ge.top,s._calcInverseTransform(e);var nt=Rf.apply3DTransform(s._invTransform)(Re,ce);if(Re=nt[0],ce=nt[1],Re<0||Re>C[0]._length||ce<0||ce>M[0]._length)return OL.unhoverRaw(e,t)}if(t.pointerX=Re+C[0]._offset,t.pointerY=ce+M[0]._offset,\"xval\"in t?X=Ag.flat(a,t.xval):X=Ag.p2c(C,Re),\"yval\"in t?G=Ag.flat(a,t.yval):G=Ag.p2c(M,ce),!Sy(X[0])||!Sy(G[0]))return Rf.warn(\"Fx.hover failed\",t,e),OL.unhoverRaw(e,t)}var ct=1/0;function qt(Ni,_n){for(W=0;W<H.length;W++)if(re=H[W],!(!re||!re[0]||!re[0].trace)&&(ae=re[0].trace,!(ae.visible!==!0||ae._length===0)&&[\"carpet\",\"contourcarpet\"].indexOf(ae._module.name)===-1)){if(ke=h,Ag.isUnifiedHover(ke)&&(ke=ke.charAt(0)),ae.type===\"splom\"?(Me=0,_e=a[Me]):(_e=Ag.getSubplot(ae),Me=a.indexOf(_e)),Te={cd:re,trace:ae,xa:C[Me],ya:M[Me],maxHoverDistance:F,maxSpikeDistance:q,index:!1,distance:Math.min(ct,F),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:sd.defaultLine,name:ae.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},s[_e]&&(Te.subplot=s[_e]._subplot),s._splomScenes&&s._splomScenes[ae.uid]&&(Te.scene=s._splomScenes[ae.uid]),ke===\"array\"){var $i=t[W];\"pointNumber\"in $i?(Te.index=$i.pointNumber,ke=\"closest\"):(ke=\"\",\"xval\"in $i&&(ge=$i.xval,ke=\"x\"),\"yval\"in $i&&(ie=$i.yval,ke=ke?\"closest\":\"y\"))}else Ni!==void 0&&_n!==void 0?(ge=Ni,ie=_n):(ge=X[Me],ie=G[Me]);if(Ee=V.length,F!==0)if(ae._module&&ae._module.hoverPoints){var zn=ae._module.hoverPoints(Te,ge,ie,ke,{finiteRange:!0,hoverLayer:s._hoverlayer,hoversubplots:l,gd:e});if(zn)for(var Wn,It=0;It<zn.length;It++)Wn=zn[It],Sy(Wn.x0)&&Sy(Wn.y0)&&V.push(Ost(Wn,h))}else Rf.log(\"Unrecognized trace type in hover:\",ae);if(h===\"closest\"&&V.length>Ee&&(V.splice(0,Ee),ct=V[0].distance),f&&q!==0&&V.length===0){Te.distance=q,Te.index=!1;var ft=ae._module.hoverPoints(Te,ge,ie,\"closest\",{hoverLayer:s._hoverlayer});if(ft&&(ft=ft.filter(function(Vr){return Vr.spikeDistance<=q})),ft&&ft.length){var jt,Zt=ft.filter(function(Vr){return Vr.xa.showspikes&&Vr.xa.spikesnap!==\"hovered data\"});if(Zt.length){var yr=Zt[0];Sy(yr.x0)&&Sy(yr.y0)&&(jt=ot(yr),(!Ae.vLinePoint||Ae.vLinePoint.spikeDistance>jt.spikeDistance)&&(Ae.vLinePoint=jt))}var Fr=ft.filter(function(Vr){return Vr.ya.showspikes&&Vr.ya.spikesnap!==\"hovered data\"});if(Fr.length){var Zr=Fr[0];Sy(Zr.x0)&&Sy(Zr.y0)&&(jt=ot(Zr),(!Ae.hLinePoint||Ae.hLinePoint.spikeDistance>jt.spikeDistance)&&(Ae.hLinePoint=jt))}}}}}qt();function rt(Ni,_n,$i){for(var zn=null,Wn=1/0,It,ft=0;ft<Ni.length;ft++)x&&x._id!==Ni[ft].xa._id||b&&b._id!==Ni[ft].ya._id||(It=Ni[ft].spikeDistance,$i&&ft===0&&(It=-1/0),It<=Wn&&It<=_n&&(zn=Ni[ft],Wn=It));return zn}function ot(Ni){return Ni?{xa:Ni.xa,ya:Ni.ya,x:Ni.xSpike!==void 0?Ni.xSpike:(Ni.x0+Ni.x1)/2,y:Ni.ySpike!==void 0?Ni.ySpike:(Ni.y0+Ni.y1)/2,distance:Ni.distance,spikeDistance:Ni.spikeDistance,curveNumber:Ni.trace.index,color:Ni.color,pointNumber:Ni.index}:null}var Rt={fullLayout:s,container:s._hoverlayer,event:t},kt=e._spikepoints,Ct={vLinePoint:Ae.vLinePoint,hLinePoint:Ae.hLinePoint};e._spikepoints=Ct;var Yt=function(){var Ni=V.filter(function($i){return x&&x._id===$i.xa._id&&b&&b._id===$i.ya._id}),_n=V.filter(function($i){return!(x&&x._id===$i.xa._id&&b&&b._id===$i.ya._id)});Ni.sort(gle),_n.sort(gle),V=Ni.concat(_n),V=Nst(V,h)};Yt();var xr=h.charAt(0),er=(xr===\"x\"||xr===\"y\")&&V[0]&&Rst[V[0].trace.type];if(f&&q!==0&&V.length!==0){var Ke=V.filter(function(Ni){return Ni.ya.showspikes}),xt=rt(Ke,q,er);Ae.hLinePoint=ot(xt);var bt=V.filter(function(Ni){return Ni.xa.showspikes}),Lt=rt(bt,q,er);Ae.vLinePoint=ot(Lt)}if(V.length===0){var St=OL.unhoverRaw(e,t);return f&&(Ae.hLinePoint!==null||Ae.vLinePoint!==null)&&_le(kt)&&yle(e,Ae,Rt),St}if(f&&_le(kt)&&yle(e,Ae,Rt),Ag.isXYhover(ke)&&V[0].length!==0&&V[0].trace.type!==\"splom\"){var Et=V[0];ple[Et.trace.type]?V=V.filter(function(Ni){return Ni.trace.index===Et.trace.index}):V=[Et];var dt=V.length,Ht=ble(\"x\",Et,s),$t=ble(\"y\",Et,s);qt(Ht,$t);var fr=[],_r={},Br=0,Or=function(Ni){var _n=ple[Ni.trace.type]?Tle(Ni):Ni.trace.index;if(!_r[_n])Br++,_r[_n]=Br,fr.push(Ni);else{var $i=_r[_n]-1,zn=fr[$i];$i>0&&Math.abs(Ni.distance)<Math.abs(zn.distance)&&(fr[$i]=Ni)}},Nr;for(Nr=0;Nr<dt;Nr++)Or(V[Nr]);for(Nr=V.length-1;Nr>dt-1;Nr--)Or(V[Nr]);V=fr,Yt()}var ut=e._hoverdata,Ne=[],Ye=Ele(e),Ve=kle(e);for(N=0;N<V.length;N++){var Xe=V[N],ht=Ag.makeEventData(Xe,Xe.trace,Xe.cd);if(Xe.hovertemplate!==!1){var Le=!1;Xe.cd[Xe.index]&&Xe.cd[Xe.index].ht&&(Le=Xe.cd[Xe.index].ht),Xe.hovertemplate=Le||Xe.trace.hovertemplate||!1}if(Xe.xa&&Xe.ya){var xe=Xe.x0+Xe.xa._offset,Se=Xe.x1+Xe.xa._offset,lt=Xe.y0+Xe.ya._offset,Gt=Xe.y1+Xe.ya._offset,Vt=Math.min(xe,Se),ar=Math.max(xe,Se),Qr=Math.min(lt,Gt),ai=Math.max(lt,Gt);ht.bbox={x0:Vt+Ve,x1:ar+Ve,y0:Qr+Ye,y1:ai+Ye}}Xe.eventData=[ht],Ne.push(ht)}e._hoverdata=Ne;var jr=h===\"y\"&&(H.length>1||V.length>1)||h===\"closest\"&&ze&&V.length>1,ri=sd.combine(s.plot_bgcolor||sd.background,s.paper_bgcolor),bi=Ale(V,{gd:e,hovermode:h,rotateLabels:jr,bgColor:ri,container:s._hoverlayer,outerContainer:s._paper.node(),commonLabelOpts:s.hoverlabel,hoverdistance:s.hoverdistance}),nn=bi.hoverLabels;if(Ag.isUnifiedHover(h)||(Fst(nn,jr,s,bi.commonLabelBoundingBox),Mle(nn,jr,s._invScaleX,s._invScaleY)),i&&i.tagName){var Wi=U3.getComponentMethod(\"annotations\",\"hasClickToShow\")(e,Ne);Mst(Db.select(i),Wi?\"pointer\":\"\")}!i||n||!Bst(e,t,ut)||(ut&&e.emit(\"plotly_unhover\",{event:t,points:ut}),e.emit(\"plotly_hover\",{event:t,points:e._hoverdata,xaxes:C,yaxes:M,xvals:X,yvals:G}))}function Tle(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:\"\",e.ya?e.ya._id:\"\"].join(\",\")}var zst=/<extra>([\\s\\S]*)<\\/extra>/;function Ale(e,t){var r=t.gd,n=r._fullLayout,i=t.hovermode,a=t.rotateLabels,o=t.bgColor,s=t.container,l=t.outerContainer,u=t.commonLabelOpts||{};if(e.length===0)return[[]];var c=t.fontFamily||zb.HOVERFONT,f=t.fontSize||zb.HOVERFONTSIZE,h=t.fontWeight||n.font.weight,d=t.fontStyle||n.font.style,v=t.fontVariant||n.font.variant,x=t.fontTextcase||n.font.textcase,b=t.fontLineposition||n.font.lineposition,g=t.fontShadow||n.font.shadow,E=e[0],k=E.xa,A=E.ya,L=i.charAt(0),_=L+\"Label\",C=E[_];if(C===void 0&&k.type===\"multicategory\")for(var M=0;M<e.length&&(C=e[M][_],C===void 0);M++);var p=N3(r,l),P=p.top,T=p.width,F=p.height,q=C!==void 0&&E.distance<=t.hoverdistance&&(i===\"x\"||i===\"y\");if(q){var V=!0,H,X;for(H=0;H<e.length;H++)if(V&&e[H].zLabel===void 0&&(V=!1),X=e[H].hoverinfo||e[H].trace.hoverinfo,X){var G=Array.isArray(X)?X:X.split(\"+\");if(G.indexOf(\"all\")===-1&&G.indexOf(i)===-1){q=!1;break}}V&&(q=!1)}var N=s.selectAll(\"g.axistext\").data(q?[0]:[]);N.enter().append(\"g\").classed(\"axistext\",!0),N.exit().remove();var W={minX:0,maxX:0,minY:0,maxY:0};if(N.each(function(){var bt=Db.select(this),Lt=Rf.ensureSingle(bt,\"path\",\"\",function(Vt){Vt.style({\"stroke-width\":\"1px\"})}),St=Rf.ensureSingle(bt,\"text\",\"\",function(Vt){Vt.attr(\"data-notex\",1)}),Et=u.bgcolor||sd.defaultLine,dt=u.bordercolor||sd.contrast(Et),Ht=sd.contrast(Et),$t=u.font,fr={weight:$t.weight||h,style:$t.style||d,variant:$t.variant||v,textcase:$t.textcase||x,lineposition:$t.lineposition||b,shadow:$t.shadow||g,family:$t.family||c,size:$t.size||f,color:$t.color||Ht};Lt.style({fill:Et,stroke:dt}),St.text(C).call(bm.font,fr).call(A0.positionText,0,0).call(A0.convertToTspans,r),bt.attr(\"transform\",\"\");var _r=N3(r,St.node()),Br,Or;if(i===\"x\"){var 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Ye,Ve,Xe;A.side===\"right\"?(Ye=\"start\",Ve=1,Xe=\"\",Br=k._offset+k._length):(Ye=\"end\",Ve=-1,Xe=\"-\",Br=k._offset),Or=A._offset+(E.y0+E.y1)/2,St.attr(\"text-anchor\",Ye),Lt.attr(\"d\",\"M0,0L\"+Xe+Bc+\",\"+Bc+\"V\"+(Us+_r.height/2)+\"h\"+Xe+(Us*2+_r.width)+\"V-\"+(Us+_r.height/2)+\"H\"+Xe+Bc+\"V-\"+Bc+\"Z\"),W.minY=Or-(Us+_r.height/2),W.maxY=Or+(Us+_r.height/2),A.side===\"right\"?(W.minX=Br+Bc,W.maxX=Br+Bc+(Us*2+_r.width)):(W.minX=Br-Bc-(Us*2+_r.width),W.maxX=Br-Bc);var ht=_r.height/2,Le=P-_r.top-ht,xe=\"clip\"+n._uid+\"commonlabel\"+A._id,Se;if(Br<_r.width+2*Us+Bc){Se=\"M-\"+(Bc+Us)+\"-\"+ht+\"h-\"+(_r.width-Us)+\"V\"+ht+\"h\"+(_r.width-Us)+\"Z\";var lt=_r.width-Br+Us;A0.positionText(St,lt,Le),Ye===\"end\"&&St.selectAll(\"tspan\").each(function(){var Vt=Db.select(this),ar=bm.tester.append(\"text\").text(Vt.text()).call(bm.font,fr),Qr=N3(r,ar.node());Math.round(Qr.width)<Math.round(_r.width)&&Vt.attr(\"x\",lt-Qr.width),ar.remove()})}else A0.positionText(St,Ve*(Us+Bc),Le),Se=null;var Gt=n._topclips.selectAll(\"#\"+xe).data(Se?[0]:[]);Gt.enter().append(\"clipPath\").attr(\"id\",xe).append(\"path\"),Gt.exit().remove(),Gt.select(\"path\").attr(\"d\",Se),bm.setClipUrl(St,Se?xe:null,r)}bt.attr(\"transform\",DB(Br,Or))}),Ag.isUnifiedHover(i)){s.selectAll(\"g.hovertext\").remove();var re=e.filter(function(bt){return bt.hoverinfo!==\"none\"});if(re.length===0)return[];var ae=n.hoverlabel,_e=ae.font,Me={showlegend:!0,legend:{title:{text:C,font:_e},font:_e,bgcolor:ae.bgcolor,bordercolor:ae.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:n.legend?n.legend.traceorder:void 0,orientation:\"v\"}},ke={font:_e};kst(Me,ke,r._fullData);var ge=ke.legend;ge.entries=[];for(var ie=0;ie<re.length;ie++){var Te=re[ie];if(Te.hoverinfo!==\"none\"){var Ee=mle(Te,!0,i,n,C),Ae=Ee[0],ze=Ee[1];Te.name=ze,ze!==\"\"?Te.text=ze+\" : \"+Ae:Te.text=Ae;var Ce=Te.cd[Te.index];Ce&&(Ce.mc&&(Te.mc=Ce.mc),Ce.mcc&&(Te.mc=Ce.mcc),Ce.mlc&&(Te.mlc=Ce.mlc),Ce.mlcc&&(Te.mlc=Ce.mlcc),Ce.mlw&&(Te.mlw=Ce.mlw),Ce.mrc&&(Te.mrc=Ce.mrc),Ce.dir&&(Te.dir=Ce.dir)),Te._distinct=!0,ge.entries.push([Te])}}ge.entries.sort(function(bt,Lt){return bt[0].trace.index-Lt[0].trace.index}),ge.layer=s,ge._inHover=!0,ge._groupTitleFont=ae.grouptitlefont,Cst(r,ge);var me=s.select(\"g.legend\"),Re=N3(r,me.node()),ce=Re.width+2*Us,Ge=Re.height+2*Us,nt=re[0],ct=(nt.x0+nt.x1)/2,qt=(nt.y0+nt.y1)/2,rt=!(U3.traceIs(nt.trace,\"bar-like\")||U3.traceIs(nt.trace,\"box-violin\")),ot,Rt;L===\"y\"?rt?(Rt=qt-Us,ot=qt+Us):(Rt=Math.min.apply(null,re.map(function(bt){return Math.min(bt.y0,bt.y1)})),ot=Math.max.apply(null,re.map(function(bt){return Math.max(bt.y0,bt.y1)}))):Rt=ot=Rf.mean(re.map(function(bt){return(bt.y0+bt.y1)/2}))-Ge/2;var kt,Ct;L===\"x\"?rt?(kt=ct+Us,Ct=ct-Us):(kt=Math.max.apply(null,re.map(function(bt){return 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Et=bt.bgcolor||St,dt=sd.combine(sd.opacity(Et)?Et:sd.defaultLine,o),Ht=sd.combine(sd.opacity(St)?St:sd.defaultLine,o),$t=bt.borderColor||sd.contrast(dt),fr=mle(bt,q,i,n,C,Lt),_r=fr[0],Br=fr[1],Or=Lt.select(\"text.nums\").call(bm.font,{family:bt.fontFamily||c,size:bt.fontSize||f,color:bt.fontColor||$t,weight:bt.fontWeight||h,style:bt.fontStyle||d,variant:bt.fontVariant||v,textcase:bt.fontTextcase||x,lineposition:bt.fontLineposition||b,shadow:bt.fontShadow||g}).text(_r).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r),Nr=Lt.select(\"text.name\"),ut=0,Ne=0;if(Br&&Br!==_r){Nr.call(bm.font,{family:bt.fontFamily||c,size:bt.fontSize||f,color:Ht,weight:bt.fontWeight||h,style:bt.fontStyle||d,variant:bt.fontVariant||v,textcase:bt.fontTextcase||x,lineposition:bt.fontLineposition||b,shadow:bt.fontShadow||g}).text(Br).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r);var Ye=N3(r,Nr.node());ut=Ye.width+2*Us,Ne=Ye.height+2*Us}else 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\"+e.yLabel+\")\",(e.text||e.text===0)&&!Array.isArray(e.text)&&(s+=(s?\"<br>\":\"\")+e.text),e.extraText!==void 0&&(s+=(s?\"<br>\":\"\")+e.extraText),a&&s===\"\"&&!e.hovertemplate&&(o===\"\"&&a.remove(),s=o);var c=e.hovertemplate||!1;if(c){var f=e.hovertemplateLabels||e;e[l+\"Label\"]!==i&&(f[l+\"other\"]=f[l+\"Val\"],f[l+\"otherLabel\"]=f[l+\"Label\"]),s=Rf.hovertemplateString(c,f,n._d3locale,e.eventData[0]||{},e.trace._meta),s=s.replace(zst,function(h,d){return o=xle(d,e.nameLength),\"\"})}return[s,o]}function Fst(e,t,r,n){var i=t?\"xa\":\"ya\",a=t?\"ya\":\"xa\",o=0,s=1,l=e.size(),u=new Array(l),c=0,f=n.minX,h=n.maxX,d=n.minY,v=n.maxY,x=function(X){return X*r._invScaleX},b=function(X){return X*r._invScaleY};e.each(function(X){var G=X[i],N=X[a],W=G._id.charAt(0)===\"x\",re=G.range;c===0&&re&&re[0]>re[1]!==W&&(s=-1);var ae=0,_e=W?r.width:r.height;if(r.hovermode===\"x\"||r.hovermode===\"y\"){var Me=Sle(X,t),ke=X.anchor,ge=ke===\"end\"?-1:1,ie,Te;if(ke===\"middle\")ie=X.crossPos+(W?b(Me.y-X.by/2):x(X.bx/2+X.tx2width/2)),Te=ie+(W?b(X.by):x(X.bx));else if(W)ie=X.crossPos+b(Bc+Me.y)-b(X.by/2-Bc),Te=ie+b(X.by);else{var Ee=x(ge*Bc+Me.x),Ae=Ee+x(ge*X.bx);ie=X.crossPos+Math.min(Ee,Ae),Te=X.crossPos+Math.max(Ee,Ae)}W?d!==void 0&&v!==void 0&&Math.min(Te,v)-Math.max(ie,d)>1&&(N.side===\"left\"?(ae=N._mainLinePosition,_e=r.width):_e=N._mainLinePosition):f!==void 0&&h!==void 0&&Math.min(Te,h)-Math.max(ie,f)>1&&(N.side===\"top\"?(ae=N._mainLinePosition,_e=r.height):_e=N._mainLinePosition)}u[c++]=[{datum:X,traceIndex:X.trace.index,dp:0,pos:X.pos,posref:X.posref,size:X.by*(W?Lst:1)/2,pmin:ae,pmax:_e}]}),u.sort(function(X,G){return X[0].posref-G[0].posref||s*(G[0].traceIndex-X[0].traceIndex)});var g,E,k,A,L,_,C;function M(X){var G=X[0],N=X[X.length-1];if(E=G.pmin-G.pos-G.dp+G.size,k=N.pos+N.dp+N.size-G.pmax,E>.01){for(L=X.length-1;L>=0;L--)X[L].dp+=E;g=!1}if(!(k<.01)){if(E<-.01){for(L=X.length-1;L>=0;L--)X[L].dp-=k;g=!1}if(g){var W=0;for(A=0;A<X.length;A++)_=X[A],_.pos+_.dp+_.size>G.pmax&&W++;for(A=X.length-1;A>=0&&!(W<=0);A--)_=X[A],_.pos>G.pmax-1&&(_.del=!0,W--);for(A=0;A<X.length&&!(W<=0);A++)if(_=X[A],_.pos<G.pmin+1)for(_.del=!0,W--,k=_.size*2,L=X.length-1;L>=0;L--)X[L].dp-=k;for(A=X.length-1;A>=0&&!(W<=0);A--)_=X[A],_.pos+_.dp+_.size>G.pmax&&(_.del=!0,W--)}}}for(;!g&&o<=l;){for(o++,g=!0,A=0;A<u.length-1;){var p=u[A],P=u[A+1],T=p[p.length-1],F=P[0];if(E=T.pos+T.dp+T.size-F.pos-F.dp+F.size,E>.01){for(L=P.length-1;L>=0;L--)P[L].dp+=E;for(p.push.apply(p,P),u.splice(A+1,1),C=0,L=p.length-1;L>=0;L--)C+=p[L].dp;for(k=C/p.length,L=p.length-1;L>=0;L--)p[L].dp-=k;g=!1}else A++}u.forEach(M)}for(A=u.length-1;A>=0;A--){var q=u[A];for(L=q.length-1;L>=0;L--){var V=q[L],H=V.datum;H.offset=V.dp,H.del=V.del}}}function Sle(e,t){var r=0,n=e.offset;return t&&(n*=-Ist,r=e.offset*Pst),{x:r,y:n}}function qst(e){var t={start:1,end:-1,middle:0}[e.anchor],r=t*(Bc+Us),n=r+t*(e.txwidth+Us),i=e.anchor===\"middle\";return i&&(r-=e.tx2width/2,n+=e.txwidth/2+Us),{alignShift:t,textShiftX:r,text2ShiftX:n}}function Mle(e,t,r,n){var i=function(o){return o*r},a=function(o){return o*n};e.each(function(o){var s=Db.select(this);if(o.del)return s.remove();var l=s.select(\"text.nums\"),u=o.anchor,c=u===\"end\"?-1:1,f=qst(o),h=Sle(o,t),d=h.x,v=h.y,x=u===\"middle\";s.select(\"path\").attr(\"d\",x?\"M-\"+i(o.bx/2+o.tx2width/2)+\",\"+a(v-o.by/2)+\"h\"+i(o.bx)+\"v\"+a(o.by)+\"h-\"+i(o.bx)+\"Z\":\"M0,0L\"+i(c*Bc+d)+\",\"+a(Bc+v)+\"v\"+a(o.by/2-Bc)+\"h\"+i(c*o.bx)+\"v-\"+a(o.by)+\"H\"+i(c*Bc+d)+\"V\"+a(v-Bc)+\"Z\");var b=d+f.textShiftX,g=v+o.ty0-o.by/2+Us,E=o.textAlign||\"auto\";E!==\"auto\"&&(E===\"left\"&&u!==\"start\"?(l.attr(\"text-anchor\",\"start\"),b=x?-o.bx/2-o.tx2width/2+Us:-o.bx-Us):E===\"right\"&&u!==\"end\"&&(l.attr(\"text-anchor\",\"end\"),b=x?o.bx/2-o.tx2width/2-Us:o.bx+Us)),l.call(A0.positionText,i(b),a(g)),o.tx2width&&(s.select(\"text.name\").call(A0.positionText,i(f.text2ShiftX+f.alignShift*Us+d),a(v+o.ty0-o.by/2+Us)),s.select(\"rect\").call(bm.setRect,i(f.text2ShiftX+(f.alignShift-1)*o.tx2width/2+d),a(v-o.by/2-1),i(o.tx2width),a(o.by+2)))})}function Ost(e,t){var r=e.index,n=e.trace||{},i=e.cd[0],a=e.cd[r]||{};function o(h){return h||Sy(h)&&h===0}var s=Array.isArray(r)?function(h,d){var v=Rf.castOption(i,r,h);return o(v)?v:Rf.extractOption({},n,\"\",d)}:function(h,d){return Rf.extractOption(a,n,h,d)};function l(h,d,v){var 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b;if(v.length===1&&(b=v[0]),b&&b.length===5&&r===\"drawrect\")x.type=\"rect\",x.x0=b[0][1],x.y0=b[0][2],x.x1=b[2][1],x.y1=b[2][2];else if(b&&r===\"drawline\")x.type=\"line\",x.x0=b[0][1],x.y0=b[0][2],x.x1=b[1][1],x.y1=b[1][2];else if(b&&r===\"drawcircle\"){x.type=\"circle\";var g=b[rue][1],E=b[iue][1],k=b[nue][1],A=b[aue][1],L=b[rue][2],_=b[iue][2],C=b[nue][2],M=b[aue][2],p=s.xaxis&&(s.xaxis.type===\"date\"||s.xaxis.type===\"log\"),P=s.yaxis&&(s.yaxis.type===\"date\"||s.yaxis.type===\"log\");p&&(g=c_(s.xaxis,g),E=c_(s.xaxis,E),k=c_(s.xaxis,k),A=c_(s.xaxis,A)),P&&(L=c_(s.yaxis,L),_=c_(s.yaxis,_),C=c_(s.yaxis,C),M=c_(s.yaxis,M));var T=(E+A)/2,F=(L+C)/2,q=(A-E+k-g)/2,V=(M-_+C-L)/2,H=Tlt({x0:T,y0:F,x1:T+q*mlt,y1:F+V*ylt});p&&(H.x0=jL(s.xaxis,H.x0),H.x1=jL(s.xaxis,H.x1)),P&&(H.y0=jL(s.yaxis,H.y0),H.y1=jL(s.yaxis,H.y1)),x.x0=H.x0,x.y0=H.y0,x.x1=H.x1,x.y1=H.y1}else x.type=\"path\",u&&c&&Alt(v,u,c),x.path=wlt(v),b=null;return x}uue.exports={newShapes:Slt,createShapeObj:lue}});var VB=ye((Qrr,cue)=>{\"use strict\";var Mlt=Sg(),Elt=Mlt.selectMode,klt=Q1(),Clt=klt.clearOutline,UB=u_(),Llt=UB.readPaths,Plt=UB.writePaths,Ilt=UB.fixDatesForPaths;cue.exports=function(t,r){if(t.length){var n=t[0][0];if(n){var i=n.getAttribute(\"d\"),a=r.gd,o=a._fullLayout.newselection,s=r.plotinfo,l=s.xaxis,u=s.yaxis,c=r.isActiveSelection,f=r.dragmode,h=(a.layout||{}).selections||[];if(!Elt(f)&&c!==void 0){var d=a._fullLayout._activeSelectionIndex;if(d<h.length)switch(a._fullLayout.selections[d].type){case\"rect\":f=\"select\";break;case\"path\":f=\"lasso\";break}}var v=Llt(i,a,s,c),x={xref:l._id,yref:u._id,opacity:o.opacity,line:{color:o.line.color,width:o.line.width,dash:o.line.dash}},b;v.length===1&&(b=v[0]),b&&b.length===5&&f===\"select\"?(x.type=\"rect\",x.x0=b[0][1],x.y0=b[0][2],x.x1=b[2][1],x.y1=b[2][2]):(x.type=\"path\",l&&u&&Ilt(v,l,u),x.path=Plt(v),b=null),Clt(a);for(var g=r.editHelpers,E=(g||{}).modifyItem,k=[],A=0;A<h.length;A++){var 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i?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=e._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=e._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}};Ld.getPathString=function(e,t){var r=t.type,n=XL.getRefType(t.xref),i=XL.getRefType(t.yref),a=XL.getFromId(e,t.xref),o=XL.getFromId(e,t.yref),s=e._fullLayout._size,l,u,c,f,h=fM(a,t.x0shift),d=fM(a,t.x1shift),v=fM(o,t.y0shift),x=fM(o,t.y1shift),b,g,E,k;if(a?n===\"domain\"?u=function(q){return a._offset+a._length*q}:(l=Ld.shapePositionToRange(a),u=function(q){return a._offset+a.r2p(l(q,!0))}):u=function(q){return s.l+s.w*q},o?i===\"domain\"?f=function(q){return o._offset+o._length*(1-q)}:(c=Ld.shapePositionToRange(o),f=function(q){return o._offset+o.r2p(c(q,!0))}):f=function(q){return s.t+s.h*(1-q)},r===\"path\")return a&&a.type===\"date\"&&(u=Ld.decodeDate(u)),o&&o.type===\"date\"&&(f=Ld.decodeDate(f)),Rlt(t,u,f);if(t.xsizemode===\"pixel\"){var A=u(t.xanchor);b=A+t.x0+h,g=A+t.x1+d}else b=u(t.x0)+h,g=u(t.x1)+d;if(t.ysizemode===\"pixel\"){var L=f(t.yanchor);E=L-t.y0+v,k=L-t.y1+x}else E=f(t.y0)+v,k=f(t.y1)+x;if(r===\"line\")return\"M\"+b+\",\"+E+\"L\"+g+\",\"+k;if(r===\"rect\")return\"M\"+b+\",\"+E+\"H\"+g+\"V\"+k+\"H\"+b+\"Z\";var _=(b+g)/2,C=(E+k)/2,M=Math.abs(_-b),p=Math.abs(C-E),P=\"A\"+M+\",\"+p,T=_+M+\",\"+C,F=_+\",\"+(C-p);return\"M\"+T+P+\" 0 1,1 \"+F+P+\" 0 0,1 \"+T+\"Z\"};function Rlt(e,t,r){var n=e.path,i=e.xsizemode,a=e.ysizemode,o=e.xanchor,s=e.yanchor;return n.replace(Fb.segmentRE,function(l){var u=0,c=l.charAt(0),f=Fb.paramIsX[c],h=Fb.paramIsY[c],d=Fb.numParams[c],v=l.substr(1).replace(Fb.paramRE,function(x){return f[u]?i===\"pixel\"?x=t(o)+Number(x):x=t(x):h[u]&&(a===\"pixel\"?x=r(s)-Number(x):x=r(x)),u++,u>d&&(x=\"X\"),x});return u>d&&(v=v.replace(/[\\s,]*X.*/,\"\"),hue.log(\"Ignoring extra params in segment \"+l)),c+v})}function fM(e,t){t=t||0;var r=0;return t&&e&&(e.type===\"category\"||e.type===\"multicategory\")&&(r=(e.r2p(1)-e.r2p(0))*t),r}});var GB=ye((rir,gue)=>{\"use strict\";var Dlt=Mr(),G3=Qa(),due=Ll(),vue=ao(),zlt=u_().readPaths,HB=f_(),Flt=HB.getPathString,pue=x6(),qlt=Nh().FROM_TL;gue.exports=function(t,r,n,i){if(i.selectAll(\".shape-label\").remove(),!!(n.label.text||n.label.texttemplate)){var a;if(n.label.texttemplate){var o={};if(n.type!==\"path\"){var s=G3.getFromId(t,n.xref),l=G3.getFromId(t,n.yref);for(var u in pue){var c=pue[u](n,s,l);c!==void 0&&(o[u]=c)}}a=Dlt.texttemplateStringForShapes(n.label.texttemplate,{},t._fullLayout._d3locale,o)}else a=n.label.text;var f={\"data-index\":r},h=n.label.font,d={\"data-notex\":1},v=i.append(\"g\").attr(f).classed(\"shape-label\",!0),x=v.append(\"text\").attr(d).classed(\"shape-label-text\",!0).text(a),b,g,E,k;if(n.path){var A=Flt(t,n),L=zlt(A,t);b=1/0,E=1/0,g=-1/0,k=-1/0;for(var _=0;_<L.length;_++)for(var C=0;C<L[_].length;C++)for(var M=L[_][C],p=1;p<M.length;p+=2){var P=M[p],T=M[p+1];b=Math.min(b,P),g=Math.max(g,P),E=Math.min(E,T),k=Math.max(k,T)}}else{var F=G3.getFromId(t,n.xref),q=n.x0shift,V=n.x1shift,H=G3.getRefType(n.xref),X=G3.getFromId(t,n.yref),G=n.y0shift,N=n.y1shift,W=G3.getRefType(n.yref),re=function(Ee,Ae){var ze=HB.getDataToPixel(t,F,Ae,!1,H);return ze(Ee)},ae=function(Ee,Ae){var ze=HB.getDataToPixel(t,X,Ae,!0,W);return ze(Ee)};b=re(n.x0,q),g=re(n.x1,V),E=ae(n.y0,G),k=ae(n.y1,N)}var _e=n.label.textangle;_e===\"auto\"&&(n.type===\"line\"?_e=Olt(b,E,g,k):_e=0),x.call(function(Ee){return Ee.call(vue.font,h).attr({}),due.convertToTspans(Ee,t),Ee});var Me=vue.bBox(x.node()),ke=Blt(b,E,g,k,n,_e,Me),ge=ke.textx,ie=ke.texty,Te=ke.xanchor;x.attr({\"text-anchor\":{left:\"start\",center:\"middle\",right:\"end\"}[Te],y:ie,x:ge,transform:\"rotate(\"+_e+\",\"+ge+\",\"+ie+\")\"}).call(due.positionText,ge,ie)}};function Olt(e,t,r,n){var i,a;return a=Math.abs(r-e),r>=e?i=t-n:i=n-t,-180/Math.PI*Math.atan2(i,a)}function Blt(e,t,r,n,i,a,o){var s=i.label.textposition,l=i.label.textangle,u=i.label.padding,c=i.type,f=Math.PI/180*a,h=Math.sin(f),d=Math.cos(f),v=i.label.xanchor,x=i.label.yanchor,b,g,E,k;if(c===\"line\"){s===\"start\"?(b=e,g=t):s===\"end\"?(b=r,g=n):(b=(e+r)/2,g=(t+n)/2),v===\"auto\"&&(s===\"start\"?l===\"auto\"?r>e?v=\"left\":r<e?v=\"right\":v=\"center\":r>e?v=\"right\":r<e?v=\"left\":v=\"center\":s===\"end\"?l===\"auto\"?r>e?v=\"right\":r<e?v=\"left\":v=\"center\":r>e?v=\"left\":r<e?v=\"right\":v=\"center\":v=\"center\");var A={left:1,center:0,right:-1},L={bottom:-1,middle:0,top:1};if(l===\"auto\"){var _=L[x];E=-u*h*_,k=u*d*_}else{var C=A[v],M=L[x];E=u*C,k=u*M}b=b+E,g=g+k}else E=u+3,s.indexOf(\"right\")!==-1?(b=Math.max(e,r)-E,v===\"auto\"&&(v=\"right\")):s.indexOf(\"left\")!==-1?(b=Math.min(e,r)+E,v===\"auto\"&&(v=\"left\")):(b=(e+r)/2,v===\"auto\"&&(v=\"center\")),s.indexOf(\"top\")!==-1?g=Math.min(t,n):s.indexOf(\"bottom\")!==-1?g=Math.max(t,n):g=(t+n)/2,k=u,x===\"bottom\"?g=g-k:x===\"top\"&&(g=g+k);var p=qlt[x],P=i.label.font.size,T=o.height,F=(T*p-P)*h,q=-(T*p-P)*d;return{textx:b+F,texty:g+q,xanchor:v}}});var JL=ye((iir,Aue)=>{\"use strict\";var Nlt=Mr(),Ult=Nlt.strTranslate,mue=gv(),xue=Sg(),Vlt=xue.drawMode,bue=xue.selectMode,wue=ba(),yue=va(),KL=VL(),Hlt=KL.i000,Glt=KL.i090,jlt=KL.i180,Wlt=KL.i270,Zlt=Q1(),Tue=Zlt.clearOutlineControllers,WB=u_(),YL=WB.pointsOnRectangle,jB=WB.pointsOnEllipse,Xlt=WB.writePaths,Ylt=ZL().newShapes,Klt=ZL().createShapeObj,Jlt=VB(),$lt=GB();Aue.exports=function e(t,r,n,i){i||(i=0);var a=n.gd;function o(){e(t,r,n,i++),(jB(t[0])||n.hasText)&&s({redrawing:!0})}function s(G){var N={};n.isActiveShape!==void 0&&(n.isActiveShape=!1,N=Ylt(r,n)),n.isActiveSelection!==void 0&&(n.isActiveSelection=!1,N=Jlt(r,n),a._fullLayout._reselect=!0),Object.keys(N).length&&wue.call((G||{}).redrawing?\"relayout\":\"_guiRelayout\",a,N)}var l=a._fullLayout,u=l._zoomlayer,c=n.dragmode,f=Vlt(c),h=bue(c);(f||h)&&(a._fullLayout._outlining=!0),Tue(a),r.attr(\"d\",Xlt(t));var d,v,x,b,g;if(!i&&(n.isActiveShape||n.isActiveSelection)){g=Qlt([],t);var E=u.append(\"g\").attr(\"class\",\"outline-controllers\");P(E),X()}if(f&&n.hasText){var k=u.select(\".label-temp\"),A=Klt(r,n,n.dragmode);$lt(a,\"label-temp\",A,k)}function L(G){x=+G.srcElement.getAttribute(\"data-i\"),b=+G.srcElement.getAttribute(\"data-j\"),d[x][b].moveFn=_}function _(G,N){if(t.length){var W=g[x][b][1],re=g[x][b][2],ae=t[x],_e=ae.length;if(YL(ae)){var Me=G,ke=N;if(n.isActiveSelection){var ge=_ue(ae,b);ge[1]===ae[b][1]?ke=0:Me=0}for(var ie=0;ie<_e;ie++)if(ie!==b){var Te=ae[ie];Te[1]===ae[b][1]&&(Te[1]=W+Me),Te[2]===ae[b][2]&&(Te[2]=re+ke)}if(ae[b][1]=W+Me,ae[b][2]=re+ke,!YL(ae))for(var Ee=0;Ee<_e;Ee++)for(var Ae=0;Ae<ae[Ee].length;Ae++)ae[Ee][Ae]=g[x][Ee][Ae]}else ae[b][1]=W+G,ae[b][2]=re+N;o()}}function C(){s()}function M(){if(t.length&&t[x]&&t[x].length){for(var G=[],N=0;N<t[x].length;N++)N!==b&&G.push(t[x][N]);G.length>1&&!(G.length===2&&G[1][0]===\"Z\")&&(b===0&&(G[0][0]=\"M\"),t[x]=G,o(),s())}}function p(G,N){if(G===2){x=+N.srcElement.getAttribute(\"data-i\"),b=+N.srcElement.getAttribute(\"data-j\");var W=t[x];!YL(W)&&!jB(W)&&M()}}function P(G){d=[];for(var N=0;N<t.length;N++){var W=t[N],re=YL(W),ae=!re&&jB(W);d[N]=[];for(var _e=W.length,Me=0;Me<_e;Me++)if(W[Me][0]!==\"Z\"&&!(ae&&Me!==Hlt&&Me!==Glt&&Me!==jlt&&Me!==Wlt)){var ke=re&&n.isActiveSelection,ge;ke&&(ge=_ue(W,Me));var ie=W[Me][1],Te=W[Me][2],Ee=G.append(ke?\"rect\":\"circle\").attr(\"data-i\",N).attr(\"data-j\",Me).style({fill:yue.background,stroke:yue.defaultLine,\"stroke-width\":1,\"shape-rendering\":\"crispEdges\"});if(ke){var Ae=ge[1]-ie,ze=ge[2]-Te,Ce=ze?5:Math.max(Math.min(25,Math.abs(Ae)-5),5),me=Ae?5:Math.max(Math.min(25,Math.abs(ze)-5),5);Ee.classed(ze?\"cursor-ew-resize\":\"cursor-ns-resize\",!0).attr(\"width\",Ce).attr(\"height\",me).attr(\"x\",ie-Ce/2).attr(\"y\",Te-me/2).attr(\"transform\",Ult(Ae/2,ze/2))}else Ee.classed(\"cursor-grab\",!0).attr(\"r\",5).attr(\"cx\",ie).attr(\"cy\",Te);d[N][Me]={element:Ee.node(),gd:a,prepFn:L,doneFn:C,clickFn:p},mue.init(d[N][Me])}}}function T(G,N){if(t.length)for(var W=0;W<t.length;W++)for(var re=0;re<t[W].length;re++)for(var ae=0;ae+2<t[W][re].length;ae+=2)t[W][re][ae+1]=g[W][re][ae+1]+G,t[W][re][ae+2]=g[W][re][ae+2]+N}function F(G,N){T(G,N),o()}function q(G){x=+G.srcElement.getAttribute(\"data-i\"),x||(x=0),v[x].moveFn=F}function V(){s()}function H(G){G===2&&eut(a)}function X(){if(v=[],!!t.length){var G=0;v[G]={element:r[0][0],gd:a,prepFn:q,doneFn:V,clickFn:H},mue.init(v[G])}}};function Qlt(e,t){for(var r=0;r<t.length;r++){var n=t[r];e[r]=[];for(var i=0;i<n.length;i++){e[r][i]=[];for(var a=0;a<n[i].length;a++)e[r][i][a]=n[i][a]}}return e}function _ue(e,t){var r=e[t][1],n=e[t][2],i=e.length,a,o,s;return a=(t+1)%i,o=e[a][1],s=e[a][2],o===r&&s===n&&(a=(t+2)%i,o=e[a][1],s=e[a][2]),[a,o,s]}function eut(e){if(bue(e._fullLayout.dragmode)){Tue(e);var t=e._fullLayout._activeSelectionIndex,r=(e.layout||{}).selections||[];if(t<r.length){for(var n=[],i=0;i<r.length;i++)i!==t&&n.push(r[i]);delete e._fullLayout._activeSelectionIndex;var a=e._fullLayout.selections[t];e._fullLayout._deselect={xref:a.xref,yref:a.yref},wue.call(\"_guiRelayout\",e,{selections:n})}}}});var tP=ye((nir,Due)=>{\"use strict\";var tut=xa(),Lue=ba(),Sue=Mr(),j3=Qa(),rut=u_().readPaths,iut=JL(),QL=GB(),Pue=Q1().clearOutlineControllers,ZB=va(),YB=ao(),nut=Vs().arrayEditor,Mue=gv(),Eue=Tg(),qb=cM(),Mp=f_(),XB=Mp.getPathString;Due.exports={draw:KB,drawOne:Iue,eraseActiveShape:sut,drawLabel:QL};function KB(e){var t=e._fullLayout;t._shapeUpperLayer.selectAll(\"path\").remove(),t._shapeLowerLayer.selectAll(\"path\").remove(),t._shapeUpperLayer.selectAll(\"text\").remove(),t._shapeLowerLayer.selectAll(\"text\").remove();for(var r in t._plots){var n=t._plots[r].shapelayer;n&&(n.selectAll(\"path\").remove(),n.selectAll(\"text\").remove())}for(var i=0;i<t.shapes.length;i++)t.shapes[i].visible===!0&&Iue(e,i)}function $L(e){return!!e._fullLayout._outlining}function eP(e){return!e._context.edits.shapePosition}function Iue(e,t){e._fullLayout._paperdiv.selectAll('.shapelayer [data-index=\"'+t+'\"]').remove();var r=Mp.makeShapesOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input||n.visible!==!0)return;if(n.layer===\"above\")o(e._fullLayout._shapeUpperLayer);else if(n.xref===\"paper\"||n.yref===\"paper\")o(e._fullLayout._shapeLowerLayer);else if(n.layer===\"between\")o(i.shapelayerBetween);else if(i._hadPlotinfo){var a=i.mainplotinfo||i;o(a.shapelayer)}else o(e._fullLayout._shapeLowerLayer);function o(s){var l=XB(e,n),u={\"data-index\":t,\"fill-rule\":n.fillrule,d:l},c=n.opacity,f=n.fillcolor,h=n.line.width?n.line.color:\"rgba(0,0,0,0)\",d=n.line.width,v=n.line.dash;!d&&n.editable===!0&&(d=5,v=\"solid\");var x=l[l.length-1]!==\"Z\",b=eP(e)&&n.editable&&e._fullLayout._activeShapeIndex===t;b&&(f=x?\"rgba(0,0,0,0)\":e._fullLayout.activeshape.fillcolor,c=e._fullLayout.activeshape.opacity);var g=s.append(\"g\").classed(\"shape-group\",!0).attr({\"data-index\":t}),E=g.append(\"path\").attr(u).style(\"opacity\",c).call(ZB.stroke,h).call(ZB.fill,f).call(YB.dashLine,v,d);Rue(g,e,n),QL(e,t,n,g);var k;if((b||e._context.edits.shapePosition)&&(k=nut(e.layout,\"shapes\",n)),b){E.style({cursor:\"move\"});var A={element:E.node(),plotinfo:i,gd:e,editHelpers:k,hasText:n.label.text||n.label.texttemplate,isActiveShape:!0},L=rut(l,e);iut(L,E,A)}else e._context.edits.shapePosition?aut(e,E,n,t,s,k):n.editable===!0&&E.style(\"pointer-events\",x||ZB.opacity(f)*c<=.5?\"stroke\":\"all\");E.node().addEventListener(\"click\",function(){return out(e,E)})}}function Rue(e,t,r){var n=(r.xref+r.yref).replace(/paper/g,\"\").replace(/[xyz][1-9]* *domain/g,\"\");YB.setClipUrl(e,n?\"clip\"+t._fullLayout._uid+n:null,t)}function aut(e,t,r,n,i,a){var o=10,s=10,l=r.xsizemode===\"pixel\",u=r.ysizemode===\"pixel\",c=r.type===\"line\",f=r.type===\"path\",h=a.modifyItem,d,v,x,b,g,E,k,A,L,_,C,M,p,P,T,F=tut.select(t.node().parentNode),q=j3.getFromId(e,r.xref),V=j3.getRefType(r.xref),H=j3.getFromId(e,r.yref),X=j3.getRefType(r.yref),G=r.x0shift,N=r.x1shift,W=r.y0shift,re=r.y1shift,ae=function(rt,ot){var Rt=Mp.getDataToPixel(e,q,ot,!1,V);return Rt(rt)},_e=function(rt,ot){var Rt=Mp.getDataToPixel(e,H,ot,!0,X);return Rt(rt)},Me=Mp.getPixelToData(e,q,!1,V),ke=Mp.getPixelToData(e,H,!0,X),ge=Ee(),ie={element:ge.node(),gd:e,prepFn:Ce,doneFn:me,clickFn:Re},Te;Mue.init(ie),ge.node().onmousemove=ze;function Ee(){return c?Ae():t}function Ae(){var rt=10,ot=Math.max(r.line.width,rt),Rt=i.append(\"g\").attr(\"data-index\",n).attr(\"drag-helper\",!0);Rt.append(\"path\").attr(\"d\",t.attr(\"d\")).style({cursor:\"move\",\"stroke-width\":ot,\"stroke-opacity\":\"0\"});var kt={\"fill-opacity\":\"0\"},Ct=Math.max(ot/2,rt);return Rt.append(\"circle\").attr({\"data-line-point\":\"start-point\",cx:l?ae(r.xanchor)+r.x0:ae(r.x0,G),cy:u?_e(r.yanchor)-r.y0:_e(r.y0,W),r:Ct}).style(kt).classed(\"cursor-grab\",!0),Rt.append(\"circle\").attr({\"data-line-point\":\"end-point\",cx:l?ae(r.xanchor)+r.x1:ae(r.x1,N),cy:u?_e(r.yanchor)-r.y1:_e(r.y1,re),r:Ct}).style(kt).classed(\"cursor-grab\",!0),Rt}function ze(rt){if($L(e)){Te=null;return}if(c)rt.target.tagName===\"path\"?Te=\"move\":Te=rt.target.attributes[\"data-line-point\"].value===\"start-point\"?\"resize-over-start-point\":\"resize-over-end-point\";else{var ot=ie.element.getBoundingClientRect(),Rt=ot.right-ot.left,kt=ot.bottom-ot.top,Ct=rt.clientX-ot.left,Yt=rt.clientY-ot.top,xr=!f&&Rt>o&&kt>s&&!rt.shiftKey?Mue.getCursor(Ct/Rt,1-Yt/kt):\"move\";Eue(t,xr),Te=xr.split(\"-\")[0]}}function Ce(rt){$L(e)||(l&&(g=ae(r.xanchor)),u&&(E=_e(r.yanchor)),r.type===\"path\"?T=r.path:(d=l?r.x0:ae(r.x0),v=u?r.y0:_e(r.y0),x=l?r.x1:ae(r.x1),b=u?r.y1:_e(r.y1)),d<x?(L=d,p=\"x0\",_=x,P=\"x1\"):(L=x,p=\"x1\",_=d,P=\"x0\"),!u&&v<b||u&&v>b?(k=v,C=\"y0\",A=b,M=\"y1\"):(k=b,C=\"y1\",A=v,M=\"y0\"),ze(rt),nt(i,r),qt(t,r,e),ie.moveFn=Te===\"move\"?ce:Ge,ie.altKey=rt.altKey)}function me(){$L(e)||(Eue(t),ct(i),Rue(t,e,r),Lue.call(\"_guiRelayout\",e,a.getUpdateObj()))}function Re(){$L(e)||ct(i)}function ce(rt,ot){if(r.type===\"path\"){var Rt=function(Yt){return Yt},kt=Rt,Ct=Rt;l?h(\"xanchor\",r.xanchor=Me(g+rt)):(kt=function(xr){return Me(ae(xr)+rt)},q&&q.type===\"date\"&&(kt=Mp.encodeDate(kt))),u?h(\"yanchor\",r.yanchor=ke(E+ot)):(Ct=function(xr){return ke(_e(xr)+ot)},H&&H.type===\"date\"&&(Ct=Mp.encodeDate(Ct))),h(\"path\",r.path=kue(T,kt,Ct))}else l?h(\"xanchor\",r.xanchor=Me(g+rt)):(h(\"x0\",r.x0=Me(d+rt)),h(\"x1\",r.x1=Me(x+rt))),u?h(\"yanchor\",r.yanchor=ke(E+ot)):(h(\"y0\",r.y0=ke(v+ot)),h(\"y1\",r.y1=ke(b+ot)));t.attr(\"d\",XB(e,r)),nt(i,r),QL(e,n,r,F)}function Ge(rt,ot){if(f){var Rt=function(_r){return _r},kt=Rt,Ct=Rt;l?h(\"xanchor\",r.xanchor=Me(g+rt)):(kt=function(Br){return Me(ae(Br)+rt)},q&&q.type===\"date\"&&(kt=Mp.encodeDate(kt))),u?h(\"yanchor\",r.yanchor=ke(E+ot)):(Ct=function(Br){return ke(_e(Br)+ot)},H&&H.type===\"date\"&&(Ct=Mp.encodeDate(Ct))),h(\"path\",r.path=kue(T,kt,Ct))}else if(c){if(Te===\"resize-over-start-point\"){var Yt=d+rt,xr=u?v-ot:v+ot;h(\"x0\",r.x0=l?Yt:Me(Yt)),h(\"y0\",r.y0=u?xr:ke(xr))}else if(Te===\"resize-over-end-point\"){var er=x+rt,Ke=u?b-ot:b+ot;h(\"x1\",r.x1=l?er:Me(er)),h(\"y1\",r.y1=u?Ke:ke(Ke))}}else{var xt=function(_r){return Te.indexOf(_r)!==-1},bt=xt(\"n\"),Lt=xt(\"s\"),St=xt(\"w\"),Et=xt(\"e\"),dt=bt?k+ot:k,Ht=Lt?A+ot:A,$t=St?L+rt:L,fr=Et?_+rt:_;u&&(bt&&(dt=k-ot),Lt&&(Ht=A-ot)),(!u&&Ht-dt>s||u&&dt-Ht>s)&&(h(C,r[C]=u?dt:ke(dt)),h(M,r[M]=u?Ht:ke(Ht))),fr-$t>o&&(h(p,r[p]=l?$t:Me($t)),h(P,r[P]=l?fr:Me(fr)))}t.attr(\"d\",XB(e,r)),nt(i,r),QL(e,n,r,F)}function nt(rt,ot){(l||u)&&Rt();function Rt(){var kt=ot.type!==\"path\",Ct=rt.selectAll(\".visual-cue\").data([0]),Yt=1;Ct.enter().append(\"path\").attr({fill:\"#fff\",\"fill-rule\":\"evenodd\",stroke:\"#000\",\"stroke-width\":Yt}).classed(\"visual-cue\",!0);var xr=ae(l?ot.xanchor:Sue.midRange(kt?[ot.x0,ot.x1]:Mp.extractPathCoords(ot.path,qb.paramIsX))),er=_e(u?ot.yanchor:Sue.midRange(kt?[ot.y0,ot.y1]:Mp.extractPathCoords(ot.path,qb.paramIsY)));if(xr=Mp.roundPositionForSharpStrokeRendering(xr,Yt),er=Mp.roundPositionForSharpStrokeRendering(er,Yt),l&&u){var Ke=\"M\"+(xr-1-Yt)+\",\"+(er-1-Yt)+\"h-8v2h8 v8h2v-8 h8v-2h-8 v-8h-2 Z\";Ct.attr(\"d\",Ke)}else if(l){var xt=\"M\"+(xr-1-Yt)+\",\"+(er-9-Yt)+\"v18 h2 v-18 Z\";Ct.attr(\"d\",xt)}else{var bt=\"M\"+(xr-9-Yt)+\",\"+(er-1-Yt)+\"h18 v2 h-18 Z\";Ct.attr(\"d\",bt)}}}function ct(rt){rt.selectAll(\".visual-cue\").remove()}function qt(rt,ot,Rt){var kt=ot.xref,Ct=ot.yref,Yt=j3.getFromId(Rt,kt),xr=j3.getFromId(Rt,Ct),er=\"\";kt!==\"paper\"&&!Yt.autorange&&(er+=kt),Ct!==\"paper\"&&!xr.autorange&&(er+=Ct),YB.setClipUrl(rt,er?\"clip\"+Rt._fullLayout._uid+er:null,Rt)}}function kue(e,t,r){return e.replace(qb.segmentRE,function(n){var i=0,a=n.charAt(0),o=qb.paramIsX[a],s=qb.paramIsY[a],l=qb.numParams[a],u=n.substr(1).replace(qb.paramRE,function(c){return i>=l||(o[i]?c=t(c):s[i]&&(c=r(c)),i++),c});return a+u})}function out(e,t){if(eP(e)){var r=t.node(),n=+r.getAttribute(\"data-index\");if(n>=0){if(n===e._fullLayout._activeShapeIndex){Cue(e);return}e._fullLayout._activeShapeIndex=n,e._fullLayout._deactivateShape=Cue,KB(e)}}}function Cue(e){if(eP(e)){var t=e._fullLayout._activeShapeIndex;t>=0&&(Pue(e),delete e._fullLayout._activeShapeIndex,KB(e))}}function sut(e){if(eP(e)){Pue(e);var t=e._fullLayout._activeShapeIndex,r=(e.layout||{}).shapes||[];if(t<r.length){for(var n=[],i=0;i<r.length;i++)i!==t&&n.push(r[i]);return delete e._fullLayout._activeShapeIndex,Lue.call(\"_guiRelayout\",e,{shapes:n})}}}});var QB=ye((air,Hue)=>{\"use strict\";var S0=ba(),zue=Xu(),Fue=af(),al=NL(),lut=tP().eraseActiveShape,rP=Mr(),Os=rP._,ol=Hue.exports={};ol.toImage={name:\"toImage\",title:function(e){var t=e._context.toImageButtonOptions||{},r=t.format||\"png\";return r===\"png\"?Os(e,\"Download plot as a png\"):Os(e,\"Download plot\")},icon:al.camera,click:function(e){var t=e._context.toImageButtonOptions,r={format:t.format||\"png\"};rP.notifier(Os(e,\"Taking snapshot - this may take a few seconds\"),\"long\"),[\"filename\",\"width\",\"height\",\"scale\"].forEach(function(n){n in t&&(r[n]=t[n])}),S0.call(\"downloadImage\",e,r).then(function(n){rP.notifier(Os(e,\"Snapshot succeeded\")+\" - \"+n,\"long\")}).catch(function(){rP.notifier(Os(e,\"Sorry, there was a problem downloading your snapshot!\"),\"long\")})}};ol.sendDataToCloud={name:\"sendDataToCloud\",title:function(e){return Os(e,\"Edit in Chart Studio\")},icon:al.disk,click:function(e){zue.sendDataToCloud(e)}};ol.editInChartStudio={name:\"editInChartStudio\",title:function(e){return Os(e,\"Edit in Chart Studio\")},icon:al.pencil,click:function(e){zue.sendDataToCloud(e)}};ol.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(e){return Os(e,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:al.zoombox,click:Ov};ol.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(e){return Os(e,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:al.pan,click:Ov};ol.select2d={name:\"select2d\",_cat:\"select\",title:function(e){return Os(e,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:al.selectbox,click:Ov};ol.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(e){return Os(e,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:al.lasso,click:Ov};ol.drawclosedpath={name:\"drawclosedpath\",title:function(e){return Os(e,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:al.drawclosedpath,click:Ov};ol.drawopenpath={name:\"drawopenpath\",title:function(e){return Os(e,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:al.drawopenpath,click:Ov};ol.drawline={name:\"drawline\",title:function(e){return Os(e,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:al.drawline,click:Ov};ol.drawrect={name:\"drawrect\",title:function(e){return Os(e,\"Draw rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:al.drawrect,click:Ov};ol.drawcircle={name:\"drawcircle\",title:function(e){return Os(e,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:al.drawcircle,click:Ov};ol.eraseshape={name:\"eraseshape\",title:function(e){return Os(e,\"Erase active shape\")},icon:al.eraseshape,click:lut};ol.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:al.zoom_plus,click:Ov};ol.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(e){return Os(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:al.zoom_minus,click:Ov};ol.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(e){return Os(e,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:al.autoscale,click:Ov};ol.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(e){return Os(e,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:al.home,click:Ov};ol.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:al.tooltip_basic,gravity:\"ne\",click:Ov};ol.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(e){return Os(e,\"Compare data on hover\")},attr:\"hovermode\",val:function(e){return e._fullLayout._isHoriz?\"y\":\"x\"},icon:al.tooltip_compare,gravity:\"ne\",click:Ov};function Ov(e,t){var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o={},s=Fue.list(e,null,!0),l=a._cartesianSpikesEnabled,u,c;if(n===\"zoom\"){var f=i===\"in\"?.5:2,h=(1+f)/2,d=(1-f)/2,v;for(c=0;c<s.length;c++)if(u=s[c],!u.fixedrange)if(v=u._name,i===\"auto\")o[v+\".autorange\"]=!0;else if(i===\"reset\")u._rangeInitial0===void 0&&u._rangeInitial1===void 0?o[v+\".autorange\"]=!0:u._rangeInitial0===void 0?(o[v+\".autorange\"]=u._autorangeInitial,o[v+\".range\"]=[null,u._rangeInitial1]):u._rangeInitial1===void 0?(o[v+\".range\"]=[u._rangeInitial0,null],o[v+\".autorange\"]=u._autorangeInitial):o[v+\".range\"]=[u._rangeInitial0,u._rangeInitial1],u._showSpikeInitial!==void 0&&(o[v+\".showspikes\"]=u._showSpikeInitial,l===\"on\"&&!u._showSpikeInitial&&(l=\"off\"));else{var x=[u.r2l(u.range[0]),u.r2l(u.range[1])],b=[h*x[0]+d*x[1],h*x[1]+d*x[0]];o[v+\".range[0]\"]=u.l2r(b[0]),o[v+\".range[1]\"]=u.l2r(b[1])}}else n===\"hovermode\"&&(i===\"x\"||i===\"y\")&&(i=a._isHoriz?\"y\":\"x\",r.setAttribute(\"data-val\",i)),o[n]=i;a._cartesianSpikesEnabled=l,S0.call(\"_guiRelayout\",e,o)}ol.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(e){return Os(e,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:al.zoombox,click:iP};ol.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(e){return Os(e,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:al.pan,click:iP};ol.orbitRotation={name:\"orbitRotation\",title:function(e){return Os(e,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:al[\"3d_rotate\"],click:iP};ol.tableRotation={name:\"tableRotation\",title:function(e){return Os(e,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:al[\"z-axis\"],click:iP};function iP(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout._subplots.gl3d||[],o={},s=n.split(\".\"),l=0;l<a.length;l++)o[a[l]+\".\"+s[1]]=i;var u=i===\"pan\"?i:\"zoom\";o.dragmode=u,S0.call(\"_guiRelayout\",e,o)}ol.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(e){return Os(e,\"Reset camera to default\")},attr:\"resetDefault\",icon:al.home,click:JB};ol.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(e){return Os(e,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:al.movie,click:JB};function JB(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=n===\"resetLastSave\",a=n===\"resetDefault\",o=e._fullLayout,s=o._subplots.gl3d||[],l={},u=0;u<s.length;u++){var c=s[u],f=c+\".camera\",h=c+\".aspectratio\",d=c+\".aspectmode\",v=o[c]._scene,x;i?(l[f+\".up\"]=v.viewInitial.up,l[f+\".eye\"]=v.viewInitial.eye,l[f+\".center\"]=v.viewInitial.center,x=!0):a&&(l[f+\".up\"]=null,l[f+\".eye\"]=null,l[f+\".center\"]=null,x=!0),x&&(l[h+\".x\"]=v.viewInitial.aspectratio.x,l[h+\".y\"]=v.viewInitial.aspectratio.y,l[h+\".z\"]=v.viewInitial.aspectratio.z,l[d]=v.viewInitial.aspectmode)}S0.call(\"_guiRelayout\",e,l)}ol.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:al.tooltip_basic,gravity:\"ne\",click:uut};function que(e,t){var r=t.currentTarget,n=r._previousVal,i=e._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var d=0;d<3;d++){var v=o[d],x=c+\".\"+v+\".showspikes\";l[x]=!1,s[x]=f[v].showspikes}}r._previousVal=s}return l}function uut(e,t){var r=que(e,t);S0.call(\"_guiRelayout\",e,r)}ol.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:al.zoom_plus,click:$B};ol.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(e){return Os(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:al.zoom_minus,click:$B};ol.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(e){return Os(e,\"Reset\")},attr:\"reset\",val:null,icon:al.autoscale,click:$B};ol.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:al.tooltip_basic,gravity:\"ne\",click:Bue};function $B(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o=a._subplots.geo||[],s=0;s<o.length;s++){var l=o[s],u=a[l];if(n===\"zoom\"){var c=u.projection.scale,f=i===\"in\"?2*c:.5*c;S0.call(\"_guiRelayout\",e,l+\".projection.scale\",f)}}n===\"reset\"&&W3(e,\"geo\")}ol.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:al.tooltip_basic,gravity:\"ne\",click:Bue};function Oue(e){var t=e._fullLayout;return t.hovermode?!1:t._has(\"cartesian\")?t._isHoriz?\"y\":\"x\":\"closest\"}function Bue(e){var t=Oue(e);S0.call(\"_guiRelayout\",e,\"hovermode\",t)}ol.resetViewSankey={name:\"resetSankeyGroup\",title:function(e){return Os(e,\"Reset view\")},icon:al.home,click:function(e){for(var t={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<e._fullData.length;r++){var n=e._fullData[r]._viewInitial;t[\"node.groups\"].push(n.node.groups.slice()),t[\"node.x\"].push(n.node.x.slice()),t[\"node.y\"].push(n.node.y.slice())}S0.call(\"restyle\",e,t)}};ol.toggleHover={name:\"toggleHover\",title:function(e){return Os(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:al.tooltip_basic,gravity:\"ne\",click:function(e,t){var r=que(e,t);r.hovermode=Oue(e),S0.call(\"_guiRelayout\",e,r)}};ol.resetViews={name:\"resetViews\",title:function(e){return Os(e,\"Reset views\")},icon:al.home,click:function(e,t){var r=t.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),Ov(e,t),r.setAttribute(\"data-attr\",\"resetLastSave\"),JB(e,t),W3(e,\"geo\"),W3(e,\"mapbox\"),W3(e,\"map\")}};ol.toggleSpikelines={name:\"toggleSpikelines\",title:function(e){return Os(e,\"Toggle Spike Lines\")},icon:al.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(e){var t=e._fullLayout,r=t._cartesianSpikesEnabled;t._cartesianSpikesEnabled=r===\"on\"?\"off\":\"on\",S0.call(\"_guiRelayout\",e,cut(e))}};function cut(e){for(var t=e._fullLayout,r=t._cartesianSpikesEnabled===\"on\",n=Fue.list(e,null,!0),i={},a=0;a<n.length;a++){var o=n[a];i[o._name+\".showspikes\"]=r?!0:o._showSpikeInitial}return i}ol.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(e){return Os(e,\"Reset view\")},attr:\"reset\",icon:al.home,click:function(e){W3(e,\"mapbox\")}};ol.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(e){return Os(e,\"Reset view\")},attr:\"reset\",icon:al.home,click:function(e){W3(e,\"map\")}};ol.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:al.zoom_plus,click:Nue};ol.zoomInMap={name:\"zoomInMap\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom 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Gue=QB(),fut=Object.keys(Gue),jue=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],Wue=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(jue),Z3=[],hut=function(e){if(Wue.indexOf(e._cat||e.name)===-1){var t=e.name,r=(e._cat||e.name).toLowerCase();Z3.indexOf(t)===-1&&Z3.push(t),Z3.indexOf(r)===-1&&Z3.push(r)}};fut.forEach(function(e){hut(Gue[e])});Z3.sort();Zue.exports={DRAW_MODES:jue,backButtons:Wue,foreButtons:Z3}});var tN=ye((lir,Xue)=>{\"use strict\";var sir=eN();Xue.exports={editType:\"modebar\",orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},add:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"},remove:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"}}});var Kue=ye((uir,Yue)=>{\"use strict\";var dut=Mr(),hM=va(),vut=Vs(),put=tN();Yue.exports=function(t,r){var n=t.modebar||{},i=vut.newContainer(r,\"modebar\");function a(s,l){return dut.coerce(n,i,put,s,l)}a(\"orientation\"),a(\"bgcolor\",hM.addOpacity(r.paper_bgcolor,.5));var o=hM.contrast(hM.rgb(r.modebar.bgcolor));a(\"color\",hM.addOpacity(o,.3)),a(\"activecolor\",hM.addOpacity(o,.7)),a(\"uirevision\",r.uirevision),a(\"add\"),a(\"remove\")}});var ece=ye((cir,Que)=>{\"use strict\";var rN=xa(),gut=uo(),nP=Mr(),Jue=NL(),mut=QC().version,yut=new DOMParser;function $ue(e){this.container=e.container,this.element=document.createElement(\"div\"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var Tm=$ue.prototype;Tm.update=function(e,t){this.graphInfo=e;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",r.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),n.modebar.orientation===\"v\"&&(this.element.className+=\" vertical\",t=t.reverse());var a=n.modebar,o=\"#\"+i+\" .modebar-group\";document.querySelectorAll(o).forEach(function(f){f.style.backgroundColor=a.bgcolor});var s=!this.hasButtons(t),l=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(s||l||u)&&(this.removeAllButtons(),this.updateButtons(t),r.watermark||r.displaylogo)){var c=this.getLogo();r.watermark&&(c.className=c.className+\" watermark\"),n.modebar.orientation===\"v\"?this.element.insertBefore(c,this.element.childNodes[0]):this.element.appendChild(c),this.hasLogo=!0}this.updateActiveButton(),nP.setStyleOnHover(\"#\"+i+\" .modebar-btn\",\".active\",\".icon path\",\"fill: \"+a.activecolor,\"fill: \"+a.color,this.element)};Tm.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(r){var n=t.createGroup();r.forEach(function(i){var a=i.name;if(!a)throw new Error(\"must provide button 'name' in button config\");if(t.buttonsNames.indexOf(a)!==-1)throw new Error(\"button name '\"+a+\"' is taken\");t.buttonsNames.push(a);var o=t.createButton(i);t.buttonElements.push(o),n.appendChild(o)}),t.element.appendChild(n)})};Tm.createGroup=function(){var e=document.createElement(\"div\");e.className=\"modebar-group\";var t=this.graphInfo._fullLayout.modebar;return e.style.backgroundColor=t.bgcolor,e};Tm.createButton=function(e){var t=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var n=e.title;n===void 0?n=e.name:typeof n==\"function\"&&(n=n(this.graphInfo)),(n||n===0)&&r.setAttribute(\"data-title\",n),e.attr!==void 0&&r.setAttribute(\"data-attr\",e.attr);var i=e.val;i!==void 0&&(typeof i==\"function\"&&(i=i(this.graphInfo)),r.setAttribute(\"data-val\",i));var a=e.click;if(typeof a!=\"function\")throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",function(s){e.click(t.graphInfo,s),t.updateActiveButton(s.currentTarget)}),r.setAttribute(\"data-toggle\",e.toggle||!1),e.toggle&&rN.select(r).classed(\"active\",!0);var o=e.icon;return typeof o==\"function\"?r.appendChild(o()):r.appendChild(this.createIcon(o||Jue.question)),r.setAttribute(\"data-gravity\",e.gravity||\"n\"),r};Tm.createIcon=function(e){var t=gut(e.height)?Number(e.height):e.ascent-e.descent,r=\"http://www.w3.org/2000/svg\",n;if(e.path){n=document.createElementNS(r,\"svg\"),n.setAttribute(\"viewBox\",[0,0,e.width,t].join(\" \")),n.setAttribute(\"class\",\"icon\");var i=document.createElementNS(r,\"path\");i.setAttribute(\"d\",e.path),e.transform?i.setAttribute(\"transform\",e.transform):e.ascent!==void 0&&i.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+e.ascent+\")\"),n.appendChild(i)}if(e.svg){var a=yut.parseFromString(e.svg,\"application/xml\");n=a.childNodes[0]}return n.setAttribute(\"height\",\"1em\"),n.setAttribute(\"width\",\"1em\"),n};Tm.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,r=e!==void 0?e.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(n){var i=n.getAttribute(\"data-val\")||!0,a=n.getAttribute(\"data-attr\"),o=n.getAttribute(\"data-toggle\")===\"true\",s=rN.select(n),l=function(f,h){var d=t.modebar,v=f.querySelector(\".icon path\");v&&(h||f.matches(\":hover\")?v.style.fill=d.activecolor:v.style.fill=d.color)};if(o){if(a===r){var u=!s.classed(\"active\");s.classed(\"active\",u),l(n,u)}}else{var c=a===null?a:nP.nestedProperty(t,a).get();s.classed(\"active\",c===i),l(n,c===i)}})};Tm.hasButtons=function(e){var t=this.buttons;if(!t||e.length!==t.length)return!1;for(var r=0;r<e.length;++r){if(e[r].length!==t[r].length)return!1;for(var n=0;n<e[r].length;n++)if(e[r][n].name!==t[r][n].name)return!1}return!0};function _ut(e){return e+\" (v\"+mut+\")\"}Tm.getLogo=function(){var e=this.createGroup(),t=document.createElement(\"a\");return t.href=\"https://plotly.com/\",t.target=\"_blank\",t.setAttribute(\"data-title\",_ut(nP._(this.graphInfo,\"Produced with Plotly.js\"))),t.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",t.appendChild(this.createIcon(Jue.newplotlylogo)),e.appendChild(t),e};Tm.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1};Tm.destroy=function(){nP.removeElement(this.container.querySelector(\".modebar\"))};function xut(e,t){var r=e._fullLayout,n=new $ue({graphInfo:e,container:r._modebardiv.node(),buttons:t});return r._privateplot&&rN.select(n.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),n}Que.exports=xut});var ice=ye((fir,rce)=>{\"use strict\";var but=af(),tce=lu(),iN=ba(),wut=rp().isUnifiedHover,Tut=ece(),aP=QB(),Aut=eN().DRAW_MODES,Sut=Mr().extendDeep;rce.exports=function(t){var r=t._fullLayout,n=t._context,i=r._modeBar;if(!n.displayModeBar&&!n.watermark){i&&(i.destroy(),delete r._modeBar);return}if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(n.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var a=n.modeBarButtons,o;Array.isArray(a)&&a.length?o=Put(a):!n.displayModeBar&&n.watermark?o=[]:o=Mut(t),i?i.update(t,o):r._modeBar=Tut(t,o)};function Mut(e){var t=e._fullLayout,r=e._fullData,n=e._context;function i(N,W){if(typeof W==\"string\"){if(W.toLowerCase()===N.toLowerCase())return!0}else{var re=W.name,ae=W._cat||W.name;if(re===N||ae===N.toLowerCase())return!0}return!1}var a=t.modebar.add;typeof a==\"string\"&&(a=[a]);var o=t.modebar.remove;typeof o==\"string\"&&(o=[o]);var s=n.modeBarButtonsToAdd.concat(a.filter(function(N){for(var W=0;W<n.modeBarButtonsToRemove.length;W++)if(i(N,n.modeBarButtonsToRemove[W]))return!1;return!0})),l=n.modeBarButtonsToRemove.concat(o.filter(function(N){for(var W=0;W<n.modeBarButtonsToAdd.length;W++)if(i(N,n.modeBarButtonsToAdd[W]))return!1;return!0})),u=t._has(\"cartesian\"),c=t._has(\"gl3d\"),f=t._has(\"geo\"),h=t._has(\"pie\"),d=t._has(\"funnelarea\"),v=t._has(\"ternary\"),x=t._has(\"mapbox\"),b=t._has(\"map\"),g=t._has(\"polar\"),E=t._has(\"smith\"),k=t._has(\"sankey\"),A=Eut(t),L=wut(t.hovermode),_=[];function C(N){if(N.length){for(var W=[],re=0;re<N.length;re++){for(var ae=N[re],_e=aP[ae],Me=_e.name.toLowerCase(),ke=(_e._cat||_e.name).toLowerCase(),ge=!1,ie=0;ie<l.length;ie++){var Te=l[ie].toLowerCase();if(Te===Me||Te===ke){ge=!0;break}}ge||W.push(aP[ae])}_.push(W)}}var M=[\"toImage\"];n.showEditInChartStudio?M.push(\"editInChartStudio\"):n.showSendToCloud&&M.push(\"sendDataToCloud\"),C(M);var p=[],P=[],T=[],F=[];(u||h||d||v)+f+c+x+b+g+E>1?(P=[\"toggleHover\"],T=[\"resetViews\"]):f?(p=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],T=[\"resetGeo\"]):c?(P=[\"hoverClosest3d\"],T=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):x?(p=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],T=[\"resetViewMapbox\"]):b?(p=[\"zoomInMap\",\"zoomOutMap\"],P=[\"toggleHover\"],T=[\"resetViewMap\"]):h?P=[\"hoverClosestPie\"]:k?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],T=[\"resetViewSankey\"]):P=[\"toggleHover\"],u&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(Cut(r)||L)&&(P=[]),u&&!A&&(p=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],T[0]!==\"resetViews\"&&(T=[\"resetScale2d\"])),c?F=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:u&&!A||v?F=[\"zoom2d\",\"pan2d\"]:x||b||f?F=[\"pan2d\"]:g&&(F=[\"zoom2d\"]),kut(r)&&F.push(\"select2d\",\"lasso2d\");var q=[],V=function(N){q.indexOf(N)===-1&&P.indexOf(N)!==-1&&q.push(N)};if(Array.isArray(s)){for(var H=[],X=0;X<s.length;X++){var G=s[X];typeof G==\"string\"?(G=G.toLowerCase(),Aut.indexOf(G)!==-1?(t._has(\"mapbox\")||t._has(\"map\")||t._has(\"cartesian\"))&&F.push(G):G===\"togglespikelines\"?V(\"toggleSpikelines\"):G===\"togglehover\"?V(\"toggleHover\"):G===\"hovercompare\"?V(\"hoverCompareCartesian\"):G===\"hoverclosest\"?(V(\"hoverClosestCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\")):G===\"v1hovermode\"&&(V(\"hoverClosestCartesian\"),V(\"hoverCompareCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\"))):H.push(G)}s=H}return C(F),C(p.concat(T)),C(q),Lut(_,s)}function Eut(e){for(var t=but.list({_fullLayout:e},null,!0),r=0;r<t.length;r++)if(!t[r].fixedrange)return!1;return!0}function kut(e){for(var t=!1,r=0;r<e.length&&!t;r++){var n=e[r];!n._module||!n._module.selectPoints||(iN.traceIs(n,\"scatter-like\")?(tce.hasMarkers(n)||tce.hasText(n))&&(t=!0):iN.traceIs(n,\"box-violin\")?(n.boxpoints===\"all\"||n.points===\"all\")&&(t=!0):t=!0)}return t}function Cut(e){for(var t=0;t<e.length;t++)if(!iN.traceIs(e[t],\"noHover\"))return!1;return!0}function Lut(e,t){if(t.length)if(Array.isArray(t[0]))for(var r=0;r<t.length;r++)e.push(t[r]);else e.push(t);return e}function Put(e){for(var t=Sut([],e),r=0;r<t.length;r++)for(var n=t[r],i=0;i<n.length;i++){var a=n[i];if(typeof a==\"string\")if(aP[a]!==void 0)t[r][i]=aP[a];else throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"))}return t}});var nN=ye((hir,nce)=>{\"use strict\";nce.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:tN(),supplyLayoutDefaults:Kue(),manage:ice()}});var aN=ye((dir,ace)=>{\"use strict\";var Iut=Nh().FROM_BL;ace.exports=function(t,r,n){n===void 0&&(n=Iut[t.constraintoward||\"center\"]);var 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n=r.axIds,i=r.layoutOut,a=r.hasImage,o=i._axisConstraintGroups,s=i._axisMatchGroups,l=t._id,u=l.charAt(0),c=((i._splomAxes||{})[u]||{})[l]||{},f=t._id,h=f.charAt(0)===\"x\";t._matchGroup=null,t._constraintGroup=null;function d(F,q){return Ob.coerce(e,t,Rut,F,q)}d(\"constrain\",a?\"domain\":\"range\"),Ob.coerce(e,t,{constraintoward:{valType:\"enumerated\",values:h?[\"left\",\"center\",\"right\"]:[\"bottom\",\"middle\",\"top\"],dflt:h?\"center\":\"middle\"}},\"constraintoward\");var v=t.type,x,b,g=[];for(x=0;x<n.length;x++)if(b=n[x],b!==f){var E=i[Mg(b)];E.type===v&&g.push(b)}var k=uce(o,f);if(k){var A=[];for(x=0;x<g.length;x++)b=g[x],k[b]||A.push(b);g=A}var L=g.length,_,C;L&&(e.matches||c.matches)&&(_=Ob.coerce(e,t,{matches:{valType:\"enumerated\",values:g,dflt:g.indexOf(c.matches)!==-1?c.matches:void 0}},\"matches\"));var M=a&&!h?t.anchor:void 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Cce=ye((_ir,kce)=>{var lct={create:function(){var e={root:{root:!0,next:null},exists:function(t){return!(t===null||t===e.root)},isEmpty:function(){return e.root.next===null},getHead:function(){return e.root.next},insertBefore:function(t,r){for(var n=e.root,i=e.root.next;i!==null;){if(r(i)){t.prev=i.prev,t.next=i,i.prev.next=t,i.prev=t;return}n=i,i=i.next}n.next=t,t.prev=n,t.next=null},findTransition:function(t){for(var r=e.root,n=e.root.next;n!==null&&!t(n);)r=n,n=n.next;return{before:r===e.root?null:r,after:n,insert:function(i){return i.prev=r,i.next=n,r.next=i,n!==null&&(n.prev=i),i}}}};return e},node:function(e){return e.prev=null,e.next=null,e.remove=function(){e.prev.next=e.next,e.next&&(e.next.prev=e.prev),e.prev=null,e.next=null},e}};kce.exports=lct});var Pce=ye((xir,Lce)=>{var mM=Cce();function uct(e,t,r){function n(v,x){return{id:r?r.segmentId():-1,start:v,end:x,myFill:{above:null,below:null},otherFill:null}}function 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u=e[l];u.anchor&&u.anchor!==\"free\"&&(u.anchor=qM(u.anchor)),u.overlaying&&(u.overlaying=qM(u.overlaying)),u.type||(u.isdate?u.type=\"date\":u.islog?u.type=\"log\":u.isdate===!1&&u.islog===!1&&(u.type=\"linear\")),(u.autorange===\"withzero\"||u.autorange===\"tozero\")&&(u.autorange=!0,u.rangemode=\"tozero\"),u.insiderange&&delete u.range,delete u.islog,delete u.isdate,delete u.categories,SP(u,\"domain\")&&delete u.domain}}var c=Array.isArray(e.annotations)?e.annotations.length:0;for(t=0;t<c;t++){var f=e.annotations[t];kp.isPlainObject(f)&&(Y3(f,\"xref\"),Y3(f,\"yref\"))}var h=Array.isArray(e.shapes)?e.shapes.length:0;for(t=0;t<h;t++){var d=e.shapes[t];kp.isPlainObject(d)&&(Y3(d,\"xref\"),Y3(d,\"yref\"))}var v=Array.isArray(e.images)?e.images.length:0;for(t=0;t<v;t++){var x=e.images[t];kp.isPlainObject(x)&&(Y3(x,\"xref\"),Y3(x,\"yref\"))}var b=e.legend;return 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u=(r.increasing||{}).showlegend!==!1,c=(r.decreasing||{}).showlegend!==!1,f=dhe(r.increasing),h=dhe(r.decreasing);if(f!==!1&&h!==!1){var d=qft(f,h,u,c);d&&(r.name=d)}else(f||h)&&!r.name&&(r.name=f||h)}SP(r,\"line\")&&delete r.line,\"marker\"in r&&(SP(r.marker,\"line\")&&delete r.marker.line,SP(r,\"marker\")&&delete r.marker),_he.clean(r),r.autobinx&&(delete r.autobinx,delete r.xbins),r.autobiny&&(delete r.autobiny,delete r.ybins)}};function dhe(e){if(!kp.isPlainObject(e))return!1;var t=e.name;return delete e.name,delete e.showlegend,(typeof t==\"string\"||typeof t==\"number\")&&String(t)}function qft(e,t,r,n){if(r&&!n)return e;if(n&&!r||!e.trim())return t;if(!t.trim())return e;var i=Math.min(e.length,t.length),a;for(a=0;a<i&&e.charAt(a)===t.charAt(a);a++);var o=e.substr(0,a);return o.trim()}function vhe(e){var t=\"middle\",r=\"center\";return typeof e==\"string\"&&(e.indexOf(\"top\")!==-1?t=\"top\":e.indexOf(\"bottom\")!==-1&&(t=\"bottom\"),e.indexOf(\"left\")!==-1?r=\"left\":e.indexOf(\"right\")!==-1&&(r=\"right\")),t+\" \"+r}function SP(e,t){return t in e&&typeof e[t]==\"object\"&&Object.keys(e[t]).length===0}Cg.swapXYData=function(e){var t;if(kp.swapAttrs(e,[\"?\",\"?0\",\"d?\",\"?bins\",\"nbins?\",\"autobin?\",\"?src\",\"error_?\"]),Array.isArray(e.z)&&Array.isArray(e.z[0])&&(e.transpose?delete e.transpose:e.transpose=!0),e.error_x&&e.error_y){var r=e.error_y,n=\"copy_ystyle\"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);kp.swapAttrs(e,[\"error_?.copy_ystyle\"]),n&&kp.swapAttrs(e,[\"error_?.color\",\"error_?.thickness\",\"error_?.width\"])}if(typeof e.hoverinfo==\"string\"){var i=e.hoverinfo.split(\"+\");for(t=0;t<i.length;t++)i[t]===\"x\"?i[t]=\"y\":i[t]===\"y\"&&(i[t]=\"x\");e.hoverinfo=i.join(\"+\")}};Cg.coerceTraceIndices=function(e,t){if(ghe(t))return[t];if(!Array.isArray(t)||!t.length)return 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C=u._basePlotModules,M=0;M<C.length;M++)C[M].drawFramework&&C[M].drawFramework(e);!u._glcanvas&&u._has(\"gl\")&&(u._glcanvas=u._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:!0,pick:!1},{key:\"focusLayer\",context:!1,pick:!1},{key:\"pickLayer\",context:!1,pick:!0}],function(F){return F.key}),u._glcanvas.enter().append(\"canvas\").attr(\"class\",function(F){return\"gl-canvas gl-canvas-\"+F.key.replace(\"Layer\",\"\")}).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"}));var p=e._context.plotGlPixelRatio;if(u._glcanvas){u._glcanvas.attr(\"width\",u.width*p).attr(\"height\",u.height*p).style(\"width\",u.width+\"px\").style(\"height\",u.height+\"px\");var P=u._glcanvas.data()[0].regl;if(P&&(Math.floor(u.width*p)!==P._gl.drawingBufferWidth||Math.floor(u.height*p)!==P._gl.drawingBufferHeight)){var T=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(v)sa.error(T);else return 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Ehe(e,t){if(!e._context){e._context=sa.extendDeep({},She);var r=kP.select(\"base\");e._context._baseUrl=r.size()&&r.attr(\"href\")?window.location.href.split(\"#\")[0]:\"\"}var n=e._context,i,a,o;if(t){for(a=Object.keys(t),i=0;i<a.length;i++)o=a[i],!(o===\"editable\"||o===\"edits\")&&o in n&&(o===\"setBackground\"&&t[o]===\"opaque\"?n[o]=Jft:n[o]=t[o]);var s=t.editable;if(s!==void 0)for(n.editable=s,a=Object.keys(n.edits),i=0;i<a.length;i++)n.edits[a[i]]=s;if(t.edits)for(a=Object.keys(t.edits),i=0;i<a.length;i++)o=a[i],o in n.edits&&(n.edits[o]=t.edits[o]);n._exportedPlot=t._exportedPlot}n.staticPlot&&(n.editable=!1,n.edits={},n.autosizable=!1,n.scrollZoom=!1,n.doubleClick=!1,n.showTips=!1,n.showLink=!1,n.displayModeBar=!1),n.displayModeBar===\"hover\"&&!Uft&&(n.displayModeBar=!0),(n.setBackground===\"transparent\"||typeof n.setBackground!=\"function\")&&(n.setBackground=Mhe),n._hasZeroHeight=n._hasZeroHeight||e.clientHeight===0,n._hasZeroWidth=n._hasZeroWidth||e.clientWidth===0;var l=n.scrollZoom,u=n._scrollZoom={};if(l===!0)u.cartesian=1,u.gl3d=1,u.geo=1,u.mapbox=1,u.map=1;else if(typeof l==\"string\"){var c=l.split(\"+\");for(i=0;i<c.length;i++)u[c[i]]=1}else l!==!1&&(u.gl3d=1,u.geo=1,u.mapbox=1,u.map=1)}function $ft(e){if(e=sa.getGraphDiv(e),!sa.isPlotDiv(e))throw new Error(\"This element is not a Plotly plot: \"+e);return yh.cleanData(e.data),yh.cleanLayout(e.layout),e.calcdata=void 0,pl._doPlot(e).then(function(){return e.emit(\"plotly_redraw\"),e})}function Qft(e,t,r,n){return e=sa.getGraphDiv(e),Ho.cleanPlot([],{},e._fullData||[],e._fullLayout||{}),Ho.purge(e),pl._doPlot(e,t,r,n)}function CP(e,t){var r=t+1,n=[],i,a;for(i=0;i<e.length;i++)a=e[i],a<0?n.push(r+a):n.push(a);return n}function LP(e,t,r){var n,i;for(n=0;n<t.length;n++){if(i=t[n],i!==parseInt(i,10))throw new Error(\"all values in \"+r+\" must be integers\");if(i>=e.data.length||i<-e.data.length)throw new Error(r+\" must be valid indices for 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f,h;if(sa.isTypedArray(l))if(c<0){var d=new l.constructor(0),v=Lhe(l,u);c<0?(f=v,h=d):(f=d,h=v)}else if(f=new l.constructor(c),h=new l.constructor(l.length+u.length-c),c===u.length)f.set(u),h.set(l);else if(c<u.length){var x=u.length-c;f.set(u.subarray(x)),h.set(l),h.set(u.subarray(0,x),l.length)}else{var b=c-u.length,g=l.length-b;f.set(l.subarray(g)),f.set(u,b),h.set(l.subarray(0,g))}else f=l.concat(u),h=c>=0&&c<f.length?f.splice(0,f.length-c):[];return[f,h]}var a=Che(e,t,r,n,i),o=pl.redraw(e),s=[e,a.update,r,a.maxPoints];return ap.add(e,pl.prependTraces,s,Phe,arguments),o}function Ihe(e,t,r,n){e=sa.getGraphDiv(e);function i(l,u,c){var f,h;if(sa.isTypedArray(l))if(c<=0){var d=new l.constructor(0),v=Lhe(u,l);c<0?(f=v,h=d):(f=d,h=v)}else if(f=new l.constructor(c),h=new l.constructor(l.length+u.length-c),c===u.length)f.set(u),h.set(l);else if(c<u.length){var x=u.length-c;f.set(u.subarray(0,x)),h.set(u.subarray(x)),h.set(l,x)}else{var 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i=Array.isArray(t)?t:[],a=Array.isArray(r)?r:[],o=Math.max(i.length,a.length),s=0;s<o;s++)IP(e+\"[\"+s+\"]\",i[s],a[s],n);else if(sa.isPlainObject(t)||sa.isPlainObject(r)){var l=sa.isPlainObject(t)?t:{},u=sa.isPlainObject(r)?r:{},c=sa.extendFlat({},l,u);for(var f in c)IP(e+\".\"+f,l[f],u[f],n)}else n[e]===void 0&&(n[e]=Cy(t))}function iht(e,t,r){for(var n in r){var i=Yu(e,n);IP(n,i.get(),r[n],t)}}function zhe(e,t,r){var n=e._fullLayout,i=e._fullData,a=e.data,o=n._guiEditing,s=EP(n._preGUI,o),l=sa.extendDeepAll({},t),u,c=v_.traceFlags(),f={},h={},d;function v(){return r.map(function(){})}function x(me){var Re=Nv.id2name(me);d.indexOf(Re)===-1&&d.push(Re)}function b(me){return\"LAYOUT\"+me+\".autorange\"}function g(me){return\"LAYOUT\"+me+\".range\"}function E(me){for(var Re=me;Re<i.length;Re++)if(i[Re]._input===a[me])return i[Re]}function k(me,Re,ce){if(Array.isArray(me)){me.forEach(function(qt){k(qt,Re,ce)});return}if(!(me in t||yh.hasParent(t,me))){var 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ge=\"x\",ie=\"y\";(F===\"bar\"||T===\"bar\")&&M.orientation===\"h\"&&(ge=\"y\",ie=\"x\"),sa.swapAttrs(M,[\"?\",\"?src\"],\"labels\",ge),sa.swapAttrs(M,[\"d?\",\"?0\"],\"label\",ge),sa.swapAttrs(M,[\"?\",\"?src\"],\"values\",ie),T===\"pie\"||T===\"funnelarea\"?(Yu(M,\"marker.color\").set(Yu(M,\"marker.colors\").get()),n._pielayer.selectAll(\"g.trace\").remove()):L0.traceIs(M,\"cartesian\")&&Yu(M,\"marker.colors\").set(Yu(M,\"marker.color\").get())}h[_][u]=Cy(T);var Te=[\"swapxy\",\"swapxyaxes\",\"orientation\",\"orientationaxes\"];if(Te.indexOf(_)!==-1){if(_===\"orientation\"){P.set(F);var Ee=M.x&&!M.y?\"h\":\"v\";if((P.get()||Ee)===p.orientation)continue}else _===\"orientationaxes\"&&(M.orientation={v:\"h\",h:\"v\"}[p.orientation]);yh.swapXYData(M),c.calc=c.clearAxisTypes=!0}else Ho.dataArrayContainers.indexOf(P.parts[0])!==-1?(yh.manageArrayContainers(P,F,h),c.calc=!0):(q?q.arrayOk&&!L0.traceIs(p,\"regl\")&&(sa.isArrayOrTypedArray(F)||sa.isArrayOrTypedArray(T))?c.calc=!0:v_.update(c,q):c.calc=!0,P.set(F))}}if([\"swapxyaxes\",\"orientationaxes\"].indexOf(_)!==-1&&Nv.swap(e,r),_===\"orientationaxes\"){var Ae=Yu(e.layout,\"hovermode\"),ze=Ae.get();ze===\"x\"?Ae.set(\"y\"):ze===\"y\"?Ae.set(\"x\"):ze===\"x unified\"?Ae.set(\"y unified\"):ze===\"y unified\"&&Ae.set(\"x unified\")}if([\"orientation\",\"type\"].indexOf(_)!==-1){for(d=[],u=0;u<r.length;u++){var Ce=a[r[u]];L0.traceIs(Ce,\"cartesian\")&&(x(Ce.xaxis||\"x\"),x(Ce.yaxis||\"y\"))}k(d.map(b),!0,0),k(d.map(g),[0,1],0)}}return(c.calc||c.plot)&&(c.fullReplot=!0),{flags:c,undoit:h,redoit:f,traces:r,eventData:sa.extendDeepNoArrays([],[l,r])}}function OM(e,t,r){e=sa.getGraphDiv(e),yh.clearPromiseQueue(e);var n={};if(typeof t==\"string\")n[t]=r;else if(sa.isPlainObject(t))n=sa.extendFlat({},t);else return sa.warn(\"Relayout fail.\",t,r),Promise.reject();Object.keys(n).length&&(e.changed=!0);var i=Bhe(e,n),a=i.flags;a.calc&&(e.calcdata=void 0);var o=[Ho.previousPromises];a.layoutReplot?o.push(Jl.layoutReplot):Object.keys(n).length&&(Fhe(e,a,i)||Ho.supplyDefaults(e),a.legend&&o.push(Jl.doLegend),a.layoutstyle&&o.push(Jl.layoutStyles),a.axrange&&FP(o,i.rangesAltered),a.ticks&&o.push(Jl.doTicksRelayout),a.modebar&&o.push(Jl.doModeBar),a.camera&&o.push(Jl.doCamera),a.colorbars&&o.push(Jl.doColorBars),o.push(BM)),o.push(Ho.rehover,Ho.redrag,Ho.reselect),ap.add(e,OM,[e,i.undoit],OM,[e,i.redoit]);var s=sa.syncOrAsync(o,e);return(!s||!s.then)&&(s=Promise.resolve(e)),s.then(function(){return e.emit(\"plotly_relayout\",i.eventData),e})}function Fhe(e,t,r){var n=e._fullLayout;if(!t.axrange)return!1;for(var i in t)if(i!==\"axrange\"&&t[i])return!1;var a,o,s=function(d,v){return sa.coerce(a,o,Hft,d,v)},l={};for(var u in r.rangesAltered){var 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r=e.layout,n=e._fullLayout,i=n._guiEditing,a=EP(n._preGUI,i),o=Object.keys(t),s=Nv.list(e),l=sa.extendDeepAll({},t),u={},c,f,h;for(o=Object.keys(t),f=0;f<o.length;f++)if(o[f].indexOf(\"allaxes\")===0){for(h=0;h<s.length;h++){var d=s[h]._id.substr(1),v=d.indexOf(\"scene\")!==-1?d+\".\":\"\",x=o[f].replace(\"allaxes\",v+s[h]._name);t[x]||(t[x]=t[o[f]])}delete t[o[f]]}var b=v_.layoutFlags(),g={},E={};function k(ct,qt){if(Array.isArray(ct)){ct.forEach(function(ot){k(ot,qt)});return}if(!(ct in t||yh.hasParent(t,ct))){var rt=a(r,ct);ct in E||(E[ct]=Cy(rt.get())),qt!==void 0&&rt.set(qt)}}var A={},L;function _(ct){var qt=Nv.name2id(ct.split(\".\")[0]);return A[qt]=1,qt}for(var C in t){if(yh.hasParent(t,C))throw new Error(\"cannot set \"+C+\" and a parent attribute simultaneously\");for(var M=a(r,C),p=t[C],P=M.parts.length,T=P-1;T>0&&typeof M.parts[T]!=\"string\";)T--;var F=M.parts[T],q=M.parts[T-1]+\".\"+F,V=M.parts.slice(0,T).join(\".\"),H=Yu(e.layout,V).get(),X=Yu(n,V).get(),G=M.get();if(p!==void 0){g[C]=p,E[C]=F===\"reverse\"?p:Cy(G);var N=zP.getLayoutValObject(n,M.parts);if(N&&N.impliedEdits&&p!==null)for(var W in N.impliedEdits)k(sa.relativeAttr(C,W),N.impliedEdits[W]);if([\"width\",\"height\"].indexOf(C)!==-1)if(p){k(\"autosize\",null);var re=C===\"height\"?\"width\":\"height\";k(re,n[re])}else n[C]=e._initialAutoSize[C];else if(C===\"autosize\")k(\"width\",p?null:n.width),k(\"height\",p?null:n.height);else if(q.match(qhe))_(q),Yu(n,V+\"._inputRange\").set(null);else if(q.match(Ohe)){_(q),Yu(n,V+\"._inputRange\").set(null);var ae=Yu(n,V).get();ae._inputDomain&&(ae._input.domain=ae._inputDomain.slice())}else q.match(nht)&&Yu(n,V+\"._inputDomain\").set(null);if(F===\"type\"){L=H;var _e=X.type===\"linear\"&&p===\"log\",Me=X.type===\"log\"&&p===\"linear\";if(_e||Me){if(!L||!L.range)k(V+\".autorange\",!0);else 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nt=n.shapes;for(f=0;f<nt.length;f++)if(nt[f].showlegend){b.calc=!0;break}return(b.plot||b.calc)&&(b.layoutReplot=!0),{flags:b,rangesAltered:A,undoit:E,redoit:g,eventData:l}}function Nhe(e){var t=e._fullLayout,r=t.width,n=t.height;return e.layout.autosize&&Ho.plotAutoSize(e,e.layout,t),t.width!==r||t.height!==n}function RP(e,t,r,n){e=sa.getGraphDiv(e),yh.clearPromiseQueue(e),sa.isPlainObject(t)||(t={}),sa.isPlainObject(r)||(r={}),Object.keys(t).length&&(e.changed=!0),Object.keys(r).length&&(e.changed=!0);var i=yh.coerceTraceIndices(e,n),a=zhe(e,sa.extendFlat({},t),i),o=a.flags,s=Bhe(e,sa.extendFlat({},r)),l=s.flags;(o.calc||l.calc)&&(e.calcdata=void 0),o.clearAxisTypes&&yh.clearAxisTypes(e,i,r);var u=[];l.layoutReplot?u.push(Jl.layoutReplot):o.fullReplot?u.push(pl._doPlot):(u.push(Ho.previousPromises),Fhe(e,l,s)||Ho.supplyDefaults(e),o.style&&u.push(Jl.doTraceStyle),(o.colorbars||l.colorbars)&&u.push(Jl.doColorBars),l.legend&&u.push(Jl.doLegend),l.layoutstyle&&u.push(Jl.layoutStyles),l.axrange&&FP(u,s.rangesAltered),l.ticks&&u.push(Jl.doTicksRelayout),l.modebar&&u.push(Jl.doModeBar),l.camera&&u.push(Jl.doCamera),u.push(BM)),u.push(Ho.rehover,Ho.redrag,Ho.reselect),ap.add(e,RP,[e,a.undoit,s.undoit,a.traces],RP,[e,a.redoit,s.redoit,a.traces]);var c=sa.syncOrAsync(u,e);return(!c||!c.then)&&(c=Promise.resolve(e)),c.then(function(){return e.emit(\"plotly_update\",{data:a.eventData,layout:s.eventData}),e})}function GN(e){return function(r){r._fullLayout._guiEditing=!0;var n=e.apply(null,arguments);return r._fullLayout._guiEditing=!1,n}}var aht=[{pattern:/^hiddenlabels/,attr:\"legend.uirevision\"},{pattern:/^((x|y)axis\\d*)\\.((auto)?range|title\\.text)/},{pattern:/axis\\d*\\.showspikes$/,attr:\"modebar.uirevision\"},{pattern:/(hover|drag)mode$/,attr:\"modebar.uirevision\"},{pattern:/^(scene\\d*)\\.camera/},{pattern:/^(geo\\d*)\\.(projection|center|fitbounds)/},{pattern:/^(ternary\\d*\\.[abc]axis)\\.(min|title\\.text)$/},{pattern:/^(polar\\d*\\.radialaxis)\\.((auto)?range|angle|title\\.text)/},{pattern:/^(polar\\d*\\.angularaxis)\\.rotation/},{pattern:/^(mapbox\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^(map\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^legend\\.(x|y)$/,attr:\"editrevision\"},{pattern:/^(shapes|annotations)/,attr:\"editrevision\"},{pattern:/^title\\.text$/,attr:\"editrevision\"}],oht=[{pattern:/^selectedpoints$/,attr:\"selectionrevision\"},{pattern:/(^|value\\.)visible$/,attr:\"legend.uirevision\"},{pattern:/^dimensions\\[\\d+\\]\\.constraintrange/},{pattern:/^node\\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\\.)name$/},{pattern:/colorbar\\.title\\.text$/},{pattern:/colorbar\\.(x|y)$/,attr:\"editrevision\"}];function whe(e,t){for(var r=0;r<t.length;r++){var n=t[r],i=e.match(n.pattern);if(i){var a=i[1]||\"\";return{head:a,tail:e.substr(a.length+1),attr:n.attr}}}}function The(e,t){var r=Yu(t,e).get();if(r!==void 0)return r;var n=e.split(\".\");for(n.pop();n.length>1;)if(n.pop(),r=Yu(t,n.join(\".\")+\".uirevision\").get(),r!==void 0)return r;return t.uirevision}function sht(e,t){for(var r=0;r<t.length;r++)if(t[r]._fullInput.uid===e)return r;return-1}function lht(e,t,r){for(var n=0;n<t.length;n++)if(t[n].uid===e)return n;return!t[r]||t[r].uid?-1:r}function Ahe(e,t){var r=sa.isPlainObject(e),n=Array.isArray(e);return r||n?(r&&sa.isPlainObject(t)||n&&Array.isArray(t))&&JSON.stringify(e)===JSON.stringify(t):e===t}function uht(e,t,r,n){var i=n._preGUI,a,o,s,l,u,c,f,h,d,v,x=[],b={},g={};for(a in i){if(u=whe(a,aht),u){if(d=u.head,v=u.tail,o=u.attr||d+\".uirevision\",s=Yu(n,o).get(),l=s&&The(o,t),l&&l===s){if(c=i[a],c===null&&(c=void 0),f=Yu(t,a),h=f.get(),Ahe(h,c)){h===void 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f={getValObject:c,flags:s,immutable:n,transition:i,newDataRevision:a,gd:e},h={};for(l=0;l<t.length;l++)if(r[l]){if(u=r[l]._fullInput,h[u.uid])continue;h[u.uid]=1,DP(t[l]._fullInput,u,[],f)}return(s.calc||s.plot)&&(s.fullReplot=!0),i&&s.nChanges&&s.nChangesAnim&&(s.anim=s.nChanges===s.nChangesAnim&&o?\"all\":\"some\"),s}function hht(e,t,r,n,i){var a=v_.layoutFlags();a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0;function o(h){return zP.getLayoutValObject(r,h)}for(var s in r)if(!(!s.startsWith(\"xaxis\")&&!s.startsWith(\"yaxis\"))&&t[s]){var l=r[s].domain,u=t[s].domain,c=t[s]._inputDomain;t[s]._inputDomain&&(l[0]===c[0]&&l[1]===c[1]?r[s].domain=t[s].domain:(l[0]!==u[0]||l[1]!==u[1])&&(r[s]._inputDomain=null))}var f={getValObject:o,flags:a,immutable:n,transition:i,gd:e};return DP(t,r,[],f),(a.plot||a.calc)&&(a.layoutReplot=!0),i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?\"all\":\"some\"),a}function DP(e,t,r,n){var i,a,o,s=n.getValObject,l=n.flags,u=n.immutable,c=n.inArray,f=n.arrayIndex;function h(){var V=i.editType;if(c&&V.indexOf(\"arraydraw\")!==-1){sa.pushUnique(l.arrays[c],f);return}v_.update(l,i),V!==\"none\"&&l.nChanges++,n.transition&&i.anim&&l.nChangesAnim++,(qhe.test(o)||Ohe.test(o))&&(l.rangesAltered[r[0]]=1),a===\"datarevision\"&&(l.newDataRevision=1)}function d(V){return V.valType===\"data_array\"||V.arrayOk}for(a in e){if(l.calc&&!n.transition)return;var v=e[a],x=t[a],b=r.concat(a);if(o=b.join(\".\"),!(a.charAt(0)===\"_\"||typeof v==\"function\"||v===x)){if((a===\"tick0\"||a===\"dtick\")&&r[0]!==\"geo\"){var g=t.tickmode;if(g===\"auto\"||g===\"array\"||!g)continue}if(!(a===\"range\"&&t.autorange)&&!((a===\"zmin\"||a===\"zmax\")&&t.type===\"contourcarpet\")&&(i=s(b),!!i&&!(i._compareAsJSON&&JSON.stringify(v)===JSON.stringify(x)))){var E=i.valType,k,A=d(i),L=Array.isArray(v),_=Array.isArray(x);if(L&&_){var C=\"_input_\"+a,M=e[C],p=t[C];if(Array.isArray(M)&&M===p)continue}if(x===void 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n=0;n<t.length;n++)t[n].i=n;Df.mergeArray(r.text,t,\"tx\"),Df.mergeArray(r.texttemplate,t,\"txt\"),Df.mergeArray(r.hovertext,t,\"htx\"),Df.mergeArray(r.customdata,t,\"data\"),Df.mergeArray(r.textposition,t,\"tp\"),r.textfont&&(Df.mergeArrayCastPositive(r.textfont.size,t,\"ts\"),Df.mergeArray(r.textfont.color,t,\"tc\"),Df.mergeArray(r.textfont.family,t,\"tf\"),Df.mergeArray(r.textfont.weight,t,\"tw\"),Df.mergeArray(r.textfont.style,t,\"ty\"),Df.mergeArray(r.textfont.variant,t,\"tv\"),Df.mergeArray(r.textfont.textcase,t,\"tC\"),Df.mergeArray(r.textfont.lineposition,t,\"tE\"),Df.mergeArray(r.textfont.shadow,t,\"tS\"));var i=r.marker;if(i){Df.mergeArrayCastPositive(i.size,t,\"ms\"),Df.mergeArrayCastPositive(i.opacity,t,\"mo\"),Df.mergeArray(i.symbol,t,\"mx\"),Df.mergeArray(i.angle,t,\"ma\"),Df.mergeArray(i.standoff,t,\"mf\"),Df.mergeArray(i.color,t,\"mc\");var a=i.line;i.line&&(Df.mergeArray(a.color,t,\"mlc\"),Df.mergeArrayCastPositive(a.width,t,\"mlw\"));var o=i.gradient;o&&o.type!==\"none\"&&(Df.mergeArray(o.type,t,\"mgt\"),Df.mergeArray(o.color,t,\"mgc\"))}}});var F0=ye((wnr,Ode)=>{\"use strict\";var qde=Mr();Ode.exports=function(t,r){qde.isArrayOrTypedArray(r.selectedpoints)&&qde.tagSelected(t,r)}});var q0=ye((Tnr,jde)=>{\"use strict\";var Bde=uo(),rU=Mr(),GM=Qa(),Nde=Rg(),tU=es().BADNUM,iU=lu(),Pdt=z0(),Idt=km(),Rdt=F0();function Ddt(e,t){var r=e._fullLayout,n=t._xA=GM.getFromId(e,t.xaxis||\"x\",\"x\"),i=t._yA=GM.getFromId(e,t.yaxis||\"y\",\"y\"),a=n.makeCalcdata(t,\"x\"),o=i.makeCalcdata(t,\"y\"),s=Nde(t,n,\"x\",a),l=Nde(t,i,\"y\",o),u=s.vals,c=l.vals,f=t._length,h=new Array(f),d=t.ids,v=nU(t,r,n,i),x=!1,b,g,E,k,A,L;Hde(r,t);var _=\"x\",C=\"y\",M;if(v)rU.pushUnique(v.traceIndices,t.index),b=v.orientation===\"v\",b?(C=\"s\",M=\"x\"):(_=\"s\",M=\"y\"),A=v.stackgaps===\"interpolate\";else{var p=Vde(t,f);Ude(e,t,n,i,u,c,p)}var P=!!t.xperiodalignment,T=!!t.yperiodalignment;for(g=0;g<f;g++){var F=h[g]={},q=Bde(u[g]),V=Bde(c[g]);q&&V?(F[_]=u[g],F[C]=c[g],P&&(F.orig_x=a[g],F.xEnd=s.ends[g],F.xStart=s.starts[g]),T&&(F.orig_y=o[g],F.yEnd=l.ends[g],F.yStart=l.starts[g])):v&&(b?q:V)?(F[M]=b?u[g]:c[g],F.gap=!0,A?(F.s=tU,x=!0):F.s=0):F[_]=F[C]=tU,d&&(F.id=String(d[g]))}if(Idt(h,t),Pdt(e,t),Rdt(h,t),v){for(g=0;g<h.length;)h[g][M]===tU?h.splice(g,1):g++;if(rU.sort(h,function(N,W){return N[M]-W[M]||N.i-W.i}),x){for(g=0;g<h.length-1&&h[g].gap;)g++;for(L=h[g].s,L||(L=h[g].s=0),E=0;E<g;E++)h[E].s=L;for(k=h.length-1;k>g&&h[k].gap;)k--;for(L=h[k].s,E=h.length-1;E>k;E--)h[E].s=L;for(;g<k;)if(g++,h[g].gap){for(E=g+1;h[E].gap;)E++;for(var H=h[g-1][M],X=h[g-1].s,G=(h[E].s-X)/(h[E][M]-H);g<E;)h[g].s=X+(h[g][M]-H)*G,g++}}}return h}function Ude(e,t,r,n,i,a,o){var s=t._length,l=e._fullLayout,u=r._id,c=n._id,f=l._firstScatter[Gde(t)]===t.uid,h=(nU(t,l,r,n)||{}).orientation,d=t.fill;r._minDtick=0,n._minDtick=0;var v={padded:!0},x={padded:!0};o&&(v.ppad=x.ppad=o);var b=s<2||i[0]!==i[s-1]||a[0]!==a[s-1];b&&(d===\"tozerox\"||d===\"tonextx\"&&(f||h===\"h\"))?v.tozero=!0:!(t.error_y||{}).visible&&(d===\"tonexty\"||d===\"tozeroy\"||!iU.hasMarkers(t)&&!iU.hasText(t))&&(v.padded=!1,v.ppad=0),b&&(d===\"tozeroy\"||d===\"tonexty\"&&(f||h===\"v\"))?x.tozero=!0:(d===\"tonextx\"||d===\"tozerox\")&&(x.padded=!1),u&&(t._extremes[u]=GM.findExtremes(r,i,v)),c&&(t._extremes[c]=GM.findExtremes(n,a,x))}function Vde(e,t){if(iU.hasMarkers(e)){var r=e.marker,n=1.6*(e.marker.sizeref||1),i;if(e.marker.sizemode===\"area\"?i=function(u){return Math.max(Math.sqrt((u||0)/n),3)}:i=function(u){return Math.max((u||0)/n,3)},rU.isArrayOrTypedArray(r.size)){var a={type:\"linear\"};GM.setConvert(a);for(var o=a.makeCalcdata(e.marker,\"size\"),s=new Array(t),l=0;l<t;l++)s[l]=i(o[l]);return s}else return i(r.size)}}function Hde(e,t){var r=Gde(t),n=e._firstScatter;n[r]||(n[r]=t.uid)}function Gde(e){var t=e.stackgroup;return e.xaxis+e.yaxis+e.type+(t?\"-\"+t:\"\")}function nU(e,t,r,n){var i=e.stackgroup;if(i){var a=t._scatterStackOpts[r._id+n._id][i],o=a.orientation===\"v\"?n:r;if(o.type===\"linear\"||o.type===\"log\")return a}}jde.exports={calc:Ddt,calcMarkerSize:Vde,calcAxisExpansion:Ude,setFirstScatter:Hde,getStackOpts:nU}});var Zde=ye((Anr,Wde)=>{\"use strict\";Wde.exports=WP;var zdt=Mr().distinctVals;function WP(e,t){this.traces=e,this.sepNegVal=t.sepNegVal,this.overlapNoMerge=t.overlapNoMerge;for(var r=1/0,n=t.posAxis._id.charAt(0),i=[],a=0;a<e.length;a++){for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l.p;u===void 0&&(u=l[n]),u!==void 0&&i.push(u)}o[0]&&o[0].width1&&(r=Math.min(o[0].width1,r))}this.positions=i;var c=zdt(i);this.distinctPositions=c.vals,c.vals.length===1&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(c.minDiff,r);var f=(t.posAxis||{}).type;(f===\"category\"||f===\"multicategory\")&&(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}WP.prototype.put=function(t,r,n){var i=this.getLabel(t,r,n),a=this.bins[i]||0;return this.bins[i]=a+n,a};WP.prototype.get=function(t,r,n){var i=this.getLabel(t,r,n);return this.bins[i]||0};WP.prototype.getLabel=function(t,r,n){var i=n<0&&this.sepNegVal?\"v\":\"^\",a=this.overlapNoMerge?t:Math.round(t/this.binWidth);return i+a+\"g\"+r}});var Gb=ye((Snr,Jde)=>{\"use strict\";var O0=uo(),p_=Mr().isArrayOrTypedArray,Q3=es().BADNUM,Fdt=ba(),jM=Qa(),qdt=Bb().getAxisGroup,ZP=Zde();function Odt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];if(c.visible===!0&&Fdt.traceIs(c,\"bar\")&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):l.push(o[u]),c._computePh))for(var f=e.calcdata[u],h=0;h<f.length;h++)typeof f[h].ph0==\"function\"&&(f[h].ph0=f[h].ph0()),typeof f[h].ph1==\"function\"&&(f[h].ph1=f[h].ph1())}var d={xCat:r.type===\"category\"||r.type===\"multicategory\",yCat:n.type===\"category\"||n.type===\"multicategory\",mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};oU(e,r,n,l,d),oU(e,n,r,s,d)}function oU(e,t,r,n,i){if(n.length){var a,o,s,l,u;switch(Udt(r,n),i.mode){case\"overlay\":aU(e,t,r,n,i);break;case\"group\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.offset===void 0?o.push(l):a.push(l);o.length&&Vdt(e,t,r,o,i),a.length&&aU(e,t,r,a,i);break;case\"stack\":case\"relative\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.base===void 0?o.push(l):a.push(l);Ndt(o),o.length&&Hdt(e,t,r,o,i),a.length&&aU(e,t,r,a,i);break}Bdt(n),Ydt(n,t)}}function Bdt(e){var t,r,n,i,a,o,s;for(t=0;t<e.length;t++)r=e[t],n=r[0].trace,i=r[0].t,i.cornerradiusvalue===void 0&&(a=n.marker?n.marker.cornerradius:void 0,a!==void 0&&(o=O0(a)?+a:+a.slice(0,-1),s=O0(a)?\"px\":\"%\",i.cornerradiusvalue=o,i.cornerradiusform=s))}function Ndt(e){if(!(e.length<2)){var t,r,n,i,a,o,s;for(t=0;t<e.length&&(r=e[t],n=r[0].trace,a=n.marker?n.marker.cornerradius:void 0,a===void 0);t++);if(a!==void 0)for(o=O0(a)?+a:+a.slice(0,-1),s=O0(a)?\"px\":\"%\",t=0;t<e.length;t++)r=e[t],i=r[0].t,i.cornerradiusvalue=o,i.cornerradiusform=s}}function Udt(e,t){var r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0].trace,o=a.type===\"funnel\"?a._base:a.base,s,l=a.orientation===\"h\"?a.xcalendar:a.ycalendar,u=e.type===\"category\"||e.type===\"multicategory\"?function(){return null}:e.d2c;if(p_(o)){for(n=0;n<Math.min(o.length,i.length);n++)s=u(o[n],0,l),O0(s)?(i[n].b=+s,i[n].hasB=1):i[n].b=0;for(;n<i.length;n++)i[n].b=0}else{s=u(o,0,l);var c=O0(s);for(s=c?s:0,n=0;n<i.length;n++)i[n].b=s,c&&(i[n].hasB=1)}}}function aU(e,t,r,n,i){for(var a=0;a<n.length;a++){var o=n[a],s=new ZP([o],{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});sU(e,t,s,i),i.norm?(Kde(s),lU(r,s,i)):Yde(r,s)}}function Vdt(e,t,r,n,i){var a=new ZP(n,{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});sU(e,t,a,i),Zdt(a,t),i.norm?(Kde(a),lU(r,a,i)):Yde(r,a)}function Hdt(e,t,r,n,i){var a=new ZP(n,{posAxis:t,sepNegVal:i.mode===\"relative\",overlapNoMerge:!(i.norm||i.mode===\"stack\"||i.mode===\"relative\")});sU(e,t,a,i),Wdt(r,a,i);for(var o=0;o<n.length;o++)for(var s=n[o],l=s[0].t.offsetindex,u=0;u<s.length;u++){var c=s[u];if(c.s!==Q3){var f=c.b+c.s===a.get(c.p,l,c.s);f&&(c._outmost=!0)}}i.norm&&lU(r,a,i)}function sU(e,t,r,n){var i=e._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,l=r.traces,u=l.length,c=a.length!==o.length,f=s*(1-n.gap),h,d,v,x;if(t._id===\"angularaxis\")h=f,d=h*(1-(n.groupgap||0)),v=-d/2;else{var b=qdt(i,t._id)+l[0][0].trace.orientation;x=i._alignmentOpts[b]||{}}for(var g=0;g<u;g++){var E=l[g],k=E[0].trace;if(t._id!==\"angularaxis\"){var A=x[k.alignmentgroup]||{},L=Object.keys(A.offsetGroups||{}).length;L?h=f/L:h=c?f/u:f,d=h*(1-(n.groupgap||0)),L?v=((2*k._offsetIndex+1-L)*h-d)/2:v=c?((2*g+1-u)*h-d)/2:-d/2}var _=E[0].t;_.barwidth=d,_.offsetindex=k._offsetIndex||0,_.poffset=v,_.bargroupwidth=f,_.bardelta=s}r.binWidth=l[0][0].t.barwidth/100,Gdt(r),jdt(t,r),t._id===\"angularaxis\"?Xde(t,r):Xde(t,r,c)}function Gdt(e){var t=e.traces,r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0],o=a.trace,s=a.t,l=o._offset||o.offset,u=s.poffset,c;if(p_(l)){for(c=Array.prototype.slice.call(l,0,i.length),n=0;n<c.length;n++)O0(c[n])||(c[n]=u);for(n=c.length;n<i.length;n++)c.push(u);s.poffset=c}else l!==void 0&&(s.poffset=l);var f=o._width||o.width,h=s.barwidth;if(p_(f)){var d=Array.prototype.slice.call(f,0,i.length);for(n=0;n<d.length;n++)O0(d[n])||(d[n]=h);for(n=d.length;n<i.length;n++)d.push(h);if(s.barwidth=d,l===void 0){for(c=[],n=0;n<i.length;n++)c.push(u+(h-d[n])/2);s.poffset=c}}else f!==void 0&&(s.barwidth=f,l===void 0&&(s.poffset=u+(h-f)/2))}}function jdt(e,t){for(var r=t.traces,n=eT(e),i=0;i<r.length;i++)for(var a=r[i],o=a[0].t,s=o.poffset,l=p_(s),u=o.barwidth,c=p_(u),f=0;f<a.length;f++){var h=a[f],d=h.w=c?u[f]:u;h.p===void 0&&(h.p=h[n],h[\"orig_\"+n]=h[n]);var v=(l?s[f]:s)+d/2;h[n]=h.p+v}}function Xde(e,t,r){var n=t.traces,i=t.minDiff,a=i/2;jM.minDtick(e,t.minDiff,t.distinctPositions[0],r);for(var o=0;o<n.length;o++){var s=n[o],l=s[0],u=l.trace,c=[],f,h,d,v;for(v=0;v<s.length;v++)f=s[v],h=f.p-a,d=f.p+a,c.push(h,d);if(u.width||u.offset){var x=l.t,b=x.poffset,g=x.barwidth,E=p_(b),k=p_(g);for(v=0;v<s.length;v++){f=s[v];var A=E?b[v]:b,L=k?g[v]:g;h=f.p+A,d=h+L,c.push(h,d)}}u._extremes[e._id]=jM.findExtremes(e,c,{padded:!1})}}function Yde(e,t){for(var r=t.traces,n=eT(e),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,s=o.type===\"scatter\",l=o.orientation===\"v\",u=[],c=!1,f=0;f<a.length;f++){var 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i)s=i[u],s._scene&&s._scene.destroy();if(o.xaxis&&o.yaxis){var h=g_.listIds({_fullLayout:n});for(l=0;l<h.length;l++){var d=h[l];t[g_.id2name(d)]||n._infolayer.selectAll(\".g-\"+d+\"title\").remove()}}var v=n._has&&n._has(\"cartesian\"),x=t._has&&t._has(\"cartesian\");if(v&&!x)$ve(n._cartesianlayer.selectAll(\".subplot\"),n),n._defs.selectAll(\".axesclip\").remove(),delete n._axisConstraintGroups,delete n._axisMatchGroups;else if(o.cartesian)for(l=0;l<o.cartesian.length;l++){var b=o.cartesian[l];if(b.indexOf(Zb)===-1&&!a[b]){var g=\".\"+b+\",.\"+b+\"-x,.\"+b+\"-y\";n._cartesianlayer.selectAll(g).remove(),Qve(b,n)}}};yv.drawFramework=function(e){var t=e._fullLayout,r=e.calcdata,n,i={};for(n=0;n<r.length;n++){var a=r[n][0],o=a.trace,s=o.zorder||0;i[s]||(i[s]=[]),i[s].push(a)}var l=Object.keys(i).map(Number).sort(Wb.sorterAsc);l.length||(l=[0]),t._zindices=l;var u=Nvt(e),c=u.length,f=[];for(n=0;n<c;n++)f[n]=u[n].slice();for(var h=1;h<l.length;h++){var d=[];for(n=0;n<c;n++)d[n]=u[n].slice(),d[n][0]+=Zb+(h+1);f=f.concat(d)}var v=t._cartesianlayer.selectAll(\".subplot\").data(f,String);v.enter().append(\"g\").attr(\"class\",function(x){return\"subplot \"+x[0]}),v.order(),v.exit().call($ve,t),v.each(function(x){var b=x[0],g=b.indexOf(Zb),E=g!==-1,k=E?b.slice(0,g):b,A=t._plots[b];A||(A=Wb.extendFlat({},t._plots[k]),A&&(A.id=b,t._plots[b]=A,t._subplots.cartesian.push(b))),A&&(A.plotgroup=lI.select(this),Jve(e,A),E||(A.draglayer=Fl(t._draggers,\"g\",b)))})};yv.rangePlot=function(e,t,r){Jve(e,t),Kve(e,t,r),qvt.style(e)};function Nvt(e){var t=e._fullLayout,r=t._zindices.length,n=t._subplots.cartesian,i=n.length,a,o,s,l,u,c,f=[],h=[];for(a=0;a<i;a++){s=n[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;var d=u._mainAxis,v=c._mainAxis,x=d._id+v._id,b=t._plots[x];l.overlays=[],x!==s&&b?(l.mainplot=x,l.mainplotinfo=b,h.push(s)):(l.mainplot=void 0,l.mainplotinfo=void 0,f.push(s))}for(a=0;a<h.length;a++)s=h[a],l=t._plots[s],l.mainplotinfo.overlays.push(l);var g=f.concat(h),E=[];for(a=0;a<i;a++){s=g[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;for(var k=[],A=1;A<=r;A++){var L=\"\";for(A>1&&(L+=Zb+A),k.push(s+L),o=0;o<l.overlays.length;o++)k.push(l.overlays[o].id+L)}k=k.concat([u.layer,c.layer,u.overlaying||\"\",c.overlaying||\"\"]),E.push(k)}return E}function Jve(e,t){var r=e._fullLayout,n=t.plotgroup,i=t.id,a=i.indexOf(Zb),o=a!==-1,s=zg.layerValue2layerClass[t.xaxis.layer],l=zg.layerValue2layerClass[t.yaxis.layer],u=r._hasOnlyLargeSploms,c=r._zindices.length>1,f=t.mainplotinfo;if(!t.mainplot||c)if(u)t.xlines=Fl(n,\"path\",\"xlines-above\"),t.ylines=Fl(n,\"path\",\"ylines-above\"),t.xaxislayer=Fl(n,\"g\",\"xaxislayer-above\"),t.yaxislayer=Fl(n,\"g\",\"yaxislayer-above\");else{if(!o){var h=Fl(n,\"g\",\"layer-subplot\");t.shapelayer=Fl(h,\"g\",\"shapelayer\"),t.imagelayer=Fl(h,\"g\",\"imagelayer\"),f&&c?(t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer):(t.minorGridlayer=Fl(n,\"g\",\"minor-gridlayer\"),t.gridlayer=Fl(n,\"g\",\"gridlayer\"),t.zerolinelayer=Fl(n,\"g\",\"zerolinelayer\"));var d=Fl(n,\"g\",\"layer-between\");t.shapelayerBetween=Fl(d,\"g\",\"shapelayer\"),t.imagelayerBetween=Fl(d,\"g\",\"imagelayer\"),Fl(n,\"path\",\"xlines-below\"),Fl(n,\"path\",\"ylines-below\"),t.overlinesBelow=Fl(n,\"g\",\"overlines-below\"),Fl(n,\"g\",\"xaxislayer-below\"),Fl(n,\"g\",\"yaxislayer-below\"),t.overaxesBelow=Fl(n,\"g\",\"overaxes-below\")}t.overplot=Fl(n,\"g\",\"overplot\"),t.plot=Fl(t.overplot,\"g\",i),o||(t.xlines=Fl(n,\"path\",\"xlines-above\"),t.ylines=Fl(n,\"path\",\"ylines-above\"),t.overlinesAbove=Fl(n,\"g\",\"overlines-above\"),Fl(n,\"g\",\"xaxislayer-above\"),Fl(n,\"g\",\"yaxislayer-above\"),t.overaxesAbove=Fl(n,\"g\",\"overaxes-above\"),t.xlines=n.select(\".xlines-\"+s),t.ylines=n.select(\".ylines-\"+l),t.xaxislayer=n.select(\".xaxislayer-\"+s),t.yaxislayer=n.select(\".yaxislayer-\"+l))}else{var v=f.plotgroup,x=i+\"-x\",b=i+\"-y\";t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer,Fl(f.overlinesBelow,\"path\",x),Fl(f.overlinesBelow,\"path\",b),Fl(f.overaxesBelow,\"g\",x),Fl(f.overaxesBelow,\"g\",b),t.plot=Fl(f.overplot,\"g\",i),Fl(f.overlinesAbove,\"path\",x),Fl(f.overlinesAbove,\"path\",b),Fl(f.overaxesAbove,\"g\",x),Fl(f.overaxesAbove,\"g\",b),t.xlines=v.select(\".overlines-\"+s).select(\".\"+x),t.ylines=v.select(\".overlines-\"+l).select(\".\"+b),t.xaxislayer=v.select(\".overaxes-\"+s).select(\".\"+x),t.yaxislayer=v.select(\".overaxes-\"+l).select(\".\"+b)}o||(u||(sI(t.minorGridlayer,\"g\",t.xaxis._id),sI(t.minorGridlayer,\"g\",t.yaxis._id),t.minorGridlayer.selectAll(\"g\").map(function(g){return g[0]}).sort(g_.idSort),sI(t.gridlayer,\"g\",t.xaxis._id),sI(t.gridlayer,\"g\",t.yaxis._id),t.gridlayer.selectAll(\"g\").map(function(g){return g[0]}).sort(g_.idSort)),t.xlines.style(\"fill\",\"none\").classed(\"crisp\",!0),t.ylines.style(\"fill\",\"none\").classed(\"crisp\",!0))}function $ve(e,t){if(e){var r={};e.each(function(l){var u=l[0],c=lI.select(this);c.remove(),Qve(u,t),r[u]=!0});for(var n in t._plots)for(var i=t._plots[n],a=i.overlays||[],o=0;o<a.length;o++){var s=a[o];r[s.id]&&s.plot.selectAll(\".trace\").remove()}}}function Qve(e,t){t._draggers.selectAll(\"g.\"+e).remove(),t._defs.select(\"#clip\"+t._uid+e+\"plot\").remove()}yv.toSVG=function(e){var t=e._fullLayout._glimages,r=lI.select(e).selectAll(\".svg-container\"),n=r.filter(function(a,o){return o===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\");function i(){var a=this,o=a.toDataURL(\"image/png\"),s=t.append(\"svg:image\");s.attr({xmlns:Bvt.svg,\"xlink:href\":o,preserveAspectRatio:\"none\",x:0,y:0,width:a.style.width,height:a.style.height})}n.each(i)};yv.updateFx=zN().updateFx});var tpe=ye((jnr,epe)=>{\"use strict\";var uI=lu();epe.exports={hasLines:uI.hasLines,hasMarkers:uI.hasMarkers,hasText:uI.hasText,isBubble:uI.isBubble,attributes:Uc(),layoutAttributes:U6(),supplyDefaults:Ede(),crossTraceDefaults:$N(),supplyLayoutDefaults:Pde(),calc:q0().calc,crossTraceCalc:tve(),arraysToCalcdata:km(),plot:iT(),colorbar:Kd(),formatLabels:JP(),style:op().style,styleOnSelect:op().styleOnSelect,hoverPoints:sT(),selectPoints:lT(),animatable:!0,moduleType:\"trace\",name:\"scatter\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\",\"zoomScale\"],meta:{}}});var npe=ye((Wnr,ipe)=>{\"use strict\";var Uvt=xa(),Vvt=va(),rpe=MN(),wU=Mr(),Hvt=wU.strScale,Gvt=wU.strRotate,jvt=wU.strTranslate;ipe.exports=function(t,r,n){var i=t.node(),a=rpe[n.arrowhead||0],o=rpe[n.startarrowhead||0],s=(n.arrowwidth||1)*(n.arrowsize||1),l=(n.arrowwidth||1)*(n.startarrowsize||1),u=r.indexOf(\"start\")>=0,c=r.indexOf(\"end\")>=0,f=a.backoff*s+n.standoff,h=o.backoff*l+n.startstandoff,d,v,x,b;if(i.nodeName===\"line\"){d={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},v={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var g=d.x-v.x,E=d.y-v.y;if(x=Math.atan2(E,g),b=x+Math.PI,f&&h&&f+h>Math.sqrt(g*g+E*E)){V();return}if(f){if(f*f>g*g+E*E){V();return}var k=f*Math.cos(x),A=f*Math.sin(x);v.x+=k,v.y+=A,t.attr({x2:v.x,y2:v.y})}if(h){if(h*h>g*g+E*E){V();return}var L=h*Math.cos(x),_=h*Math.sin(x);d.x-=L,d.y-=_,t.attr({x1:d.x,y1:d.y})}}else if(i.nodeName===\"path\"){var C=i.getTotalLength(),M=\"\";if(C<f+h){V();return}var p=i.getPointAtLength(0),P=i.getPointAtLength(.1);x=Math.atan2(p.y-P.y,p.x-P.x),d=i.getPointAtLength(Math.min(h,C)),M=\"0px,\"+h+\"px,\";var T=i.getPointAtLength(C),F=i.getPointAtLength(C-.1);b=Math.atan2(T.y-F.y,T.x-F.x),v=i.getPointAtLength(Math.max(0,C-f));var q=M?h+f:f;M+=C-q+\"px,\"+C+\"px\",t.style(\"stroke-dasharray\",M)}function V(){t.style(\"stroke-dasharray\",\"0px,100px\")}function H(X,G,N,W){X.path&&(X.noRotate&&(N=0),Uvt.select(i.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:X.path,transform:jvt(G.x,G.y)+Gvt(N*180/Math.PI)+Hvt(W)}).style({fill:Vvt.rgb(n.arrowcolor),\"stroke-width\":0}))}u&&H(o,d,x,l),c&&H(a,v,b,s)}});var cI=ye((Znr,upe)=>{\"use strict\";var ape=xa(),TU=ba(),Wvt=Xu(),y_=Mr(),AU=y_.strTranslate,QM=Qa(),Xb=va(),Py=ao(),ope=Nc(),SU=Ll(),MU=Tg(),$M=gv(),Zvt=Vs().arrayEditor,Xvt=npe();upe.exports={draw:Yvt,drawOne:spe,drawRaw:lpe};function Yvt(e){var t=e._fullLayout;t._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<t.annotations.length;r++)t.annotations[r].visible&&spe(e,r);return Wvt.previousPromises(e)}function spe(e,t){var r=e._fullLayout,n=r.annotations[t]||{},i=QM.getFromId(e,n.xref),a=QM.getFromId(e,n.yref);i&&i.setScale(),a&&a.setScale(),lpe(e,n,t,!1,i,a)}function m_(e,t,r,n,i){var a=i[r],o=i[r+\"ref\"],s=r.indexOf(\"y\")!==-1,l=QM.getRefType(o)===\"domain\",u=s?n.h:n.w;return e?l?a+(s?-t:t)/e._length:e.p2r(e.r2p(a)+t):a+(s?-t:t)/u}function lpe(e,t,r,n,i,a){var o=e._fullLayout,s=e._fullLayout._size,l=e._context.edits,u,c;n?(u=\"annotation-\"+n,c=n+\".annotations\"):(u=\"annotation\",c=\"annotations\");var f=Zvt(e.layout,c,t),h=f.modifyBase,d=f.modifyItem,v=f.getUpdateObj;o._infolayer.selectAll(\".\"+u+'[data-index=\"'+r+'\"]').remove();var x=\"clip\"+o._uid+\"_ann\"+r;if(!t._input||t.visible===!1){ape.selectAll(\"#\"+x).remove();return}var b={x:{},y:{}},g=+t.textangle||0,E=o._infolayer.append(\"g\").classed(u,!0).attr(\"data-index\",String(r)).style(\"opacity\",t.opacity),k=E.append(\"g\").classed(\"annotation-text-g\",!0),A=l[t.showarrow?\"annotationTail\":\"annotationPosition\"],L=t.captureevents||l.annotationText||A;function _(W){var re={index:r,annotation:t._input,fullAnnotation:t,event:W};return n&&(re.subplotId=n),re}var C=k.append(\"g\").style(\"pointer-events\",L?\"all\":null).call(MU,\"pointer\").on(\"click\",function(){e._dragging=!1,e.emit(\"plotly_clickannotation\",_(ape.event))});t.hovertext&&C.on(\"mouseover\",function(){var W=t.hoverlabel,re=W.font,ae=this.getBoundingClientRect(),_e=e.getBoundingClientRect();ope.loneHover({x0:ae.left-_e.left,x1:ae.right-_e.left,y:(ae.top+ae.bottom)/2-_e.top,text:t.hovertext,color:W.bgcolor,borderColor:W.bordercolor,fontFamily:re.family,fontSize:re.size,fontColor:re.color,fontWeight:re.weight,fontStyle:re.style,fontVariant:re.variant,fontShadow:re.fontShadow,fontLineposition:re.fontLineposition,fontTextcase:re.fontTextcase},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:e})}).on(\"mouseout\",function(){ope.loneUnhover(o._hoverlayer.node())});var M=t.borderwidth,p=t.borderpad,P=M+p,T=C.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",M+\"px\").call(Xb.stroke,t.bordercolor).call(Xb.fill,t.bgcolor),F=t.width||t.height,q=o._topclips.selectAll(\"#\"+x).data(F?[0]:[]);q.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",x).append(\"rect\"),q.exit().remove();var V=t.font,H=o._meta?y_.templateString(t.text,o._meta):t.text,X=C.append(\"text\").classed(\"annotation-text\",!0).text(H);function G(W){return W.call(Py.font,V).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[t.align]||\"middle\"}),SU.convertToTspans(W,e,N),W}function N(){var W=X.selectAll(\"a\");if(W.size()===1&&W.text()===X.text()){var re=C.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":W.attr(\"xlink:href\"),\"xlink:xlink:show\":W.attr(\"xlink:show\")}).style({cursor:\"pointer\"});re.node().appendChild(T.node())}var ae=C.select(\".annotation-text-math-group\"),_e=!ae.empty(),Me=Py.bBox((_e?ae:X).node()),ke=Me.width,ge=Me.height,ie=t.width||ke,Te=t.height||ge,Ee=Math.round(ie+2*P),Ae=Math.round(Te+2*P);function ze(Ve,Xe){return Xe===\"auto\"&&(Ve<1/3?Xe=\"left\":Ve>2/3?Xe=\"right\":Xe=\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[Xe]}for(var Ce=!1,me=[\"x\",\"y\"],Re=0;Re<me.length;Re++){var ce=me[Re],Ge=t[ce+\"ref\"]||ce,nt=t[\"a\"+ce+\"ref\"],ct={x:i,y:a}[ce],qt=(g+(ce===\"x\"?0:-90))*Math.PI/180,rt=Ee*Math.cos(qt),ot=Ae*Math.sin(qt),Rt=Math.abs(rt)+Math.abs(ot),kt=t[ce+\"anchor\"],Ct=t[ce+\"shift\"]*(ce===\"x\"?1:-1),Yt=b[ce],xr,er,Ke,xt,bt,Lt=QM.getRefType(Ge);if(ct&&Lt!==\"domain\"){var St=ct.r2fraction(t[ce]);(St<0||St>1)&&(nt===Ge?(St=ct.r2fraction(t[\"a\"+ce]),(St<0||St>1)&&(Ce=!0)):Ce=!0),xr=ct._offset+ct.r2p(t[ce]),xt=.5}else{var Et=Lt===\"domain\";ce===\"x\"?(Ke=t[ce],xr=Et?ct._offset+ct._length*Ke:xr=s.l+s.w*Ke):(Ke=1-t[ce],xr=Et?ct._offset+ct._length*Ke:xr=s.t+s.h*Ke),xt=t.showarrow?.5:Ke}if(t.showarrow){Yt.head=xr;var dt=t[\"a\"+ce];if(bt=rt*ze(.5,t.xanchor)-ot*ze(.5,t.yanchor),nt===Ge){var Ht=QM.getRefType(nt);Ht===\"domain\"?(ce===\"y\"&&(dt=1-dt),Yt.tail=ct._offset+ct._length*dt):Ht===\"paper\"?ce===\"y\"?(dt=1-dt,Yt.tail=s.t+s.h*dt):Yt.tail=s.l+s.w*dt:Yt.tail=ct._offset+ct.r2p(dt),er=bt}else Yt.tail=xr+dt,er=bt+dt;Yt.text=Yt.tail+bt;var $t=o[ce===\"x\"?\"width\":\"height\"];if(Ge===\"paper\"&&(Yt.head=y_.constrain(Yt.head,1,$t-1)),nt===\"pixel\"){var fr=-Math.max(Yt.tail-3,Yt.text),_r=Math.min(Yt.tail+3,Yt.text)-$t;fr>0?(Yt.tail+=fr,Yt.text+=fr):_r>0&&(Yt.tail-=_r,Yt.text-=_r)}Yt.tail+=Ct,Yt.head+=Ct}else bt=Rt*ze(xt,kt),er=bt,Yt.text=xr+bt;Yt.text+=Ct,bt+=Ct,er+=Ct,t[\"_\"+ce+\"padplus\"]=Rt/2+er,t[\"_\"+ce+\"padminus\"]=Rt/2-er,t[\"_\"+ce+\"size\"]=Rt,t[\"_\"+ce+\"shift\"]=bt}if(Ce){C.remove();return}var Br=0,Or=0;if(t.align!==\"left\"&&(Br=(ie-ke)*(t.align===\"center\"?.5:1)),t.valign!==\"top\"&&(Or=(Te-ge)*(t.valign===\"middle\"?.5:1)),_e)ae.select(\"svg\").attr({x:P+Br-1,y:P+Or}).call(Py.setClipUrl,F?x:null,e);else{var 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s0e=ye((par,o0e)=>{\"use strict\";var Dpt=Mr(),OU=Qa(),zpt=Zd(),Fpt=qU(),qpt=\"images\";o0e.exports=function(t,r){var n={name:qpt,handleItemDefaults:Opt};zpt(t,r,n)};function Opt(e,t,r){function n(h,d){return Dpt.coerce(e,t,Fpt,h,d)}var i=n(\"source\"),a=n(\"visible\",!!i);if(!a)return t;n(\"layer\"),n(\"xanchor\"),n(\"yanchor\"),n(\"sizex\"),n(\"sizey\"),n(\"sizing\"),n(\"opacity\");for(var o={_fullLayout:r},s=[\"x\",\"y\"],l=0;l<2;l++){var u=s[l],c=OU.coerceRef(e,t,o,u,\"paper\",void 0);if(c!==\"paper\"){var f=OU.getFromId(o,c);f._imgIndices.push(t._index)}OU.coercePosition(t,o,n,c,u,0)}return t}});var f0e=ye((gar,c0e)=>{\"use strict\";var l0e=xa(),Bpt=ao(),vT=Qa(),u0e=af(),Npt=Zp();c0e.exports=function(t){var r=t._fullLayout,n=[],i={},a=[],o,s;for(s=0;s<r.images.length;s++){var l=r.images[s];if(l.visible)if(l.layer===\"below\"&&l.xref!==\"paper\"&&l.yref!==\"paper\"){o=u0e.ref2id(l.xref)+u0e.ref2id(l.yref);var 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_=h||x;_?(E=s,k=E+b,h?(A=u,L=Math.min(A+g,o),g=L-A):(L=u+g,A=Math.max(L-g,0),g=L-A)):(A=u,L=A+g,d?(k=s+b,E=Math.max(k-b,0),b=k-E):(E=s,k=Math.min(E+b,a),b=k-E)),this._box={l:E,t:A,w:b,h:g};var C=l>b,M=of.barLength+2*of.barPad,p=of.barWidth+2*of.barPad,P=s,T=u+c;T+p>o&&(T=o-p);var F=this.container.selectAll(\"rect.scrollbar-horizontal\").data(C?[0]:[]);F.exit().on(\".drag\",null).remove(),F.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(A0e.fill,of.barColor),C?(this.hbar=F.attr({rx:of.barRadius,ry:of.barRadius,x:P,y:T,width:M,height:p}),this._hbarXMin=P+M/2,this._hbarTranslateMax=b-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var q=c>g,V=of.barWidth+2*of.barPad,H=of.barLength+2*of.barPad,X=s+l,G=u;X+V>a&&(X=a-V);var N=this.container.selectAll(\"rect.scrollbar-vertical\").data(q?[0]:[]);N.exit().on(\".drag\",null).remove(),N.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(A0e.fill,of.barColor),q?(this.vbar=N.attr({rx:of.barRadius,ry:of.barRadius,x:X,y:G,width:V,height:H}),this._vbarYMin=G+H/2,this._vbarTranslateMax=g-H):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var W=this.id,re=E-.5,ae=q?k+V+.5:k+.5,_e=A-.5,Me=C?L+p+.5:L+.5,ke=i._topdefs.selectAll(\"#\"+W).data(C||q?[0]:[]);if(ke.exit().remove(),ke.enter().append(\"clipPath\").attr(\"id\",W).append(\"rect\"),C||q?(this._clipRect=ke.select(\"rect\").attr({x:Math.floor(re),y:Math.floor(_e),width:Math.ceil(ae)-Math.floor(re),height:Math.ceil(Me)-Math.floor(_e)}),this.container.call(pT.setClipUrl,W,this.gd),this.bg.attr({x:s,y:u,width:l,height:c})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(pT.setClipUrl,null),delete this._clipRect),C||q){var ge=qg.behavior.drag().on(\"dragstart\",function(){qg.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(ge);var ie=qg.behavior.drag().on(\"dragstart\",function(){qg.event.sourceEvent.preventDefault(),qg.event.sourceEvent.stopPropagation()}).on(\"drag\",this._onBarDrag.bind(this));C&&this.hbar.on(\".drag\",null).call(ie),q&&this.vbar.on(\".drag\",null).call(ie)}this.setTranslate(r,n)};of.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(pT.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)};of.prototype._onBoxDrag=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t-=qg.event.dx),this.vbar&&(r-=qg.event.dy),this.setTranslate(t,r)};of.prototype._onBoxWheel=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t+=qg.event.deltaY),this.vbar&&(r+=qg.event.deltaY),this.setTranslate(t,r)};of.prototype._onBarDrag=function(){var t=this.translateX,r=this.translateY;if(this.hbar){var n=t+this._hbarXMin,i=n+this._hbarTranslateMax,a=vI.constrain(qg.event.x,n,i),o=(a-n)/(i-n),s=this.position.w-this._box.w;t=o*s}if(this.vbar){var l=r+this._vbarYMin,u=l+this._vbarTranslateMax,c=vI.constrain(qg.event.y,l,u),f=(c-l)/(u-l),h=this.position.h-this._box.h;r=f*h}this.setTranslate(t,r)};of.prototype.setTranslate=function(t,r){var n=this.position.w-this._box.w,i=this.position.h-this._box.h;if(t=vI.constrain(t||0,0,n),r=vI.constrain(r||0,0,i),this.translateX=t,this.translateY=r,this.container.call(pT.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-r),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+r-.5)}),this.hbar){var a=t/n;this.hbar.call(pT.setTranslate,t+a*this._hbarTranslateMax,r)}if(this.vbar){var o=r/i;this.vbar.call(pT.setTranslate,t,r+o*this._vbarTranslateMax)}}});var F0e=ye((Tar,z0e)=>{\"use strict\";var gT=xa(),t4=Xu(),r4=va(),mT=ao(),e0=Mr(),pI=Ll(),Qpt=Vs().arrayEditor,k0e=Nh().LINE_SPACING,Go=hI(),e0t=M0e();z0e.exports=function(t){var r=t._fullLayout,n=e0.filterVisible(r[Go.name]);function i(h){t4.autoMargin(t,R0e(h))}var a=r._menulayer.selectAll(\"g.\"+Go.containerClassName).data(n.length>0?[0]:[]);if(a.enter().append(\"g\").classed(Go.containerClassName,!0).style(\"cursor\",\"pointer\"),a.exit().each(function(){gT.select(this).selectAll(\"g.\"+Go.headerGroupClassName).each(i)}).remove(),n.length!==0){var o=a.selectAll(\"g.\"+Go.headerGroupClassName).data(n,t0t);o.enter().append(\"g\").classed(Go.headerGroupClassName,!0);for(var s=e0.ensureSingle(a,\"g\",Go.dropdownButtonGroupClassName,function(h){h.style(\"pointer-events\",\"all\")}),l=0;l<n.length;l++){var u=n[l];s0t(t,u)}var c=\"updatemenus\"+r._uid,f=new e0t(t,s,c);o.enter().size()&&(s.node().parentNode.appendChild(s.node()),s.call(UU)),o.exit().each(function(h){s.call(UU),i(h)}).remove(),o.each(function(h){var d=gT.select(this),v=h.type===\"dropdown\"?s:null;t4.manageCommandObserver(t,h,h.buttons,function(x){NU(t,h,h.buttons[x.index],d,v,f,x.index,!0)}),h.type===\"dropdown\"?(L0e(t,d,s,f,h),C0e(s,h)&&i4(t,d,s,f,h)):i4(t,d,null,null,h)})}};function t0t(e){return e._index}function r0t(e){return+e.attr(Go.menuIndexAttrName)==-1}function C0e(e,t){return+e.attr(Go.menuIndexAttrName)===t._index}function NU(e,t,r,n,i,a,o,s){t.active=o,Qpt(e.layout,Go.name,t).applyUpdate(\"active\",o),t.type===\"buttons\"?i4(e,n,null,null,t):t.type===\"dropdown\"&&(i.attr(Go.menuIndexAttrName,\"-1\"),L0e(e,n,i,a,t),s||i4(e,n,i,a,t))}function L0e(e,t,r,n,i){var a=e0.ensureSingle(t,\"g\",Go.headerClassName,function(h){h.style(\"pointer-events\",\"all\")}),o=i._dims,s=i.active,l=i.buttons[s]||Go.blankHeaderOpts,u={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},c={width:o.headerWidth,height:o.headerHeight};a.call(VU,i,l,e).call(D0e,i,u,c);var f=e0.ensureSingle(t,\"text\",Go.headerArrowClassName,function(h){h.attr(\"text-anchor\",\"end\").call(mT.font,i.font).text(Go.arrowSymbol[i.direction])});f.attr({x:o.headerWidth-Go.arrowOffsetX+i.pad.l,y:o.headerHeight/2+Go.textOffsetY+i.pad.t}),a.on(\"click\",function(){r.call(UU,String(C0e(r,i)?-1:i._index)),i4(e,t,r,n,i)}),a.on(\"mouseover\",function(){a.call(P0e)}),a.on(\"mouseout\",function(){a.call(I0e,i)}),mT.setTranslate(t,o.lx,o.ly)}function i4(e,t,r,n,i){r||(r=t,r.attr(\"pointer-events\",\"all\"));var a=!r0t(r)||i.type===\"buttons\"?i.buttons:[],o=i.type===\"dropdown\"?Go.dropdownButtonClassName:Go.buttonClassName,s=r.selectAll(\"g.\"+o).data(e0.filterVisible(a)),l=s.enter().append(\"g\").classed(o,!0),u=s.exit();i.type===\"dropdown\"?(l.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),u.transition().attr(\"opacity\",\"0\").remove()):u.remove();var c=0,f=0,h=i._dims,d=[\"up\",\"down\"].indexOf(i.direction)!==-1;i.type===\"dropdown\"&&(d?f=h.headerHeight+Go.gapButtonHeader:c=h.headerWidth+Go.gapButtonHeader),i.type===\"dropdown\"&&i.direction===\"up\"&&(f=-Go.gapButtonHeader+Go.gapButton-h.openHeight),i.type===\"dropdown\"&&i.direction===\"left\"&&(c=-Go.gapButtonHeader+Go.gapButton-h.openWidth);var v={x:h.lx+c+i.pad.l,y:h.ly+f+i.pad.t,yPad:Go.gapButton,xPad:Go.gapButton,index:0},x={l:v.x+i.borderwidth,t:v.y+i.borderwidth};s.each(function(b,g){var E=gT.select(this);E.call(VU,i,b,e).call(D0e,i,v),E.on(\"click\",function(){gT.event.defaultPrevented||(b.execute&&(b.args2&&i.active===g?(NU(e,i,b,t,r,n,-1),t4.executeAPICommand(e,b.method,b.args2)):(NU(e,i,b,t,r,n,g),t4.executeAPICommand(e,b.method,b.args))),e.emit(\"plotly_buttonclicked\",{menu:i,button:b,active:i.active}))}),E.on(\"mouseover\",function(){E.call(P0e)}),E.on(\"mouseout\",function(){E.call(I0e,i),s.call(E0e,i)})}),s.call(E0e,i),d?(x.w=Math.max(h.openWidth,h.headerWidth),x.h=v.y-x.t):(x.w=v.x-x.l,x.h=Math.max(h.openHeight,h.headerHeight)),x.direction=i.direction,n&&(s.size()?i0t(e,t,r,n,i,x):n0t(n))}function i0t(e,t,r,n,i,a){var o=i.direction,s=o===\"up\"||o===\"down\",l=i._dims,u=i.active,c,f,h;if(s)for(f=0,h=0;h<u;h++)f+=l.heights[h]+Go.gapButton;else for(c=0,h=0;h<u;h++)c+=l.widths[h]+Go.gapButton;n.enable(a,c,f),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}function n0t(e){var t=!!e.hbar,r=!!e.vbar;t&&e.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){t=!1,r||e.disable()}),r&&e.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,t||e.disable()})}function VU(e,t,r,n){e.call(a0t,t).call(o0t,t,r,n)}function a0t(e,t){var r=e0.ensureSingle(e,\"rect\",Go.itemRectClassName,function(n){n.attr({rx:Go.rx,ry:Go.ry,\"shape-rendering\":\"crispEdges\"})});r.call(r4.stroke,t.bordercolor).call(r4.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\")}function o0t(e,t,r,n){var i=e0.ensureSingle(e,\"text\",Go.itemTextClassName,function(s){s.attr({\"text-anchor\":\"start\",\"data-notex\":1})}),a=r.label,o=n._fullLayout._meta;o&&(a=e0.templateString(a,o)),i.call(mT.font,t.font).text(a).call(pI.convertToTspans,n)}function E0e(e,t){var r=t.active;e.each(function(n,i){var a=gT.select(this);i===r&&t.showactive&&a.select(\"rect.\"+Go.itemRectClassName).call(r4.fill,Go.activeColor)})}function P0e(e){e.select(\"rect.\"+Go.itemRectClassName).call(r4.fill,Go.hoverColor)}function I0e(e,t){e.select(\"rect.\"+Go.itemRectClassName).call(r4.fill,t.bgcolor)}function s0t(e,t){var r=t._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},n=mT.tester.selectAll(\"g.\"+Go.dropdownButtonClassName).data(e0.filterVisible(t.buttons));n.enter().append(\"g\").classed(Go.dropdownButtonClassName,!0);var i=[\"up\",\"down\"].indexOf(t.direction)!==-1;n.each(function(c,f){var h=gT.select(this);h.call(VU,t,c,e);var d=h.select(\".\"+Go.itemTextClassName),v=d.node()&&mT.bBox(d.node()).width,x=Math.max(v+Go.textPadX,Go.minWidth),b=t.font.size*k0e,g=pI.lineCount(d),E=Math.max(b*g,Go.minHeight)+Go.textOffsetY;E=Math.ceil(E),x=Math.ceil(x),r.widths[f]=x,r.heights[f]=E,r.height1=Math.max(r.height1,E),r.width1=Math.max(r.width1,x),i?(r.totalWidth=Math.max(r.totalWidth,x),r.openWidth=r.totalWidth,r.totalHeight+=E+Go.gapButton,r.openHeight+=E+Go.gapButton):(r.totalWidth+=x+Go.gapButton,r.openWidth+=x+Go.gapButton,r.totalHeight=Math.max(r.totalHeight,E),r.openHeight=r.totalHeight)}),i?r.totalHeight-=Go.gapButton:r.totalWidth-=Go.gapButton,r.headerWidth=r.width1+Go.arrowPadX,r.headerHeight=r.height1,t.type===\"dropdown\"&&(i?(r.width1+=Go.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=Go.arrowPadX),n.remove();var a=r.totalWidth+t.pad.l+t.pad.r,o=r.totalHeight+t.pad.t+t.pad.b,s=e._fullLayout._size;r.lx=s.l+s.w*t.x,r.ly=s.t+s.h*(1-t.y);var l=\"left\";e0.isRightAnchor(t)&&(r.lx-=a,l=\"right\"),e0.isCenterAnchor(t)&&(r.lx-=a/2,l=\"center\");var u=\"top\";e0.isBottomAnchor(t)&&(r.ly-=o,u=\"bottom\"),e0.isMiddleAnchor(t)&&(r.ly-=o/2,u=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),t4.autoMargin(e,R0e(t),{x:t.x,y:t.y,l:a*({right:1,center:.5}[l]||0),r:a*({left:1,center:.5}[l]||0),b:o*({top:1,middle:.5}[u]||0),t:o*({bottom:1,middle:.5}[u]||0)})}function R0e(e){return Go.autoMarginIdRoot+e._index}function D0e(e,t,r,n){n=n||{};var i=e.select(\".\"+Go.itemRectClassName),a=e.select(\".\"+Go.itemTextClassName),o=t.borderwidth,s=r.index,l=t._dims;mT.setTranslate(e,o+r.x,o+r.y);var u=[\"up\",\"down\"].indexOf(t.direction)!==-1,c=n.height||(u?l.heights[s]:l.height1);i.attr({x:0,y:0,width:n.width||(u?l.width1:l.widths[s]),height:c});var f=t.font.size*k0e,h=pI.lineCount(a),d=(h-1)*f/2;pI.positionText(a,Go.textOffsetX,c/2-d+Go.textOffsetY),u?r.y+=l.heights[s]+r.yPad:r.x+=l.widths[s]+r.xPad,r.index++}function UU(e,t){e.attr(Go.menuIndexAttrName,t||\"-1\").selectAll(\"g.\"+Go.dropdownButtonClassName).remove()}});var O0e=ye((Aar,q0e)=>{\"use strict\";var l0t=hI();q0e.exports={moduleType:\"component\",name:l0t.name,layoutAttributes:BU(),supplyLayoutDefaults:T0e(),draw:F0e()}});var n4=ye((Sar,B0e)=>{\"use strict\";B0e.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}});var HU=ye((Mar,V0e)=>{\"use strict\";var N0e=Su(),u0t=b6(),c0t=no().extendDeepAll,f0t=Bu().overrideAll,h0t=zS(),U0e=Vs().templatedArray,Jb=n4(),d0t=U0e(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});V0e.exports=f0t(U0e(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:d0t,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:c0t(u0t({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:h0t.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:N0e({})},font:N0e({}),activebgcolor:{valType:\"color\",dflt:Jb.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:Jb.railBgColor},bordercolor:{valType:\"color\",dflt:Jb.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:Jb.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:Jb.tickLength},tickcolor:{valType:\"color\",dflt:Jb.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:Jb.minorTickLength}}),\"arraydraw\",\"from-root\")});var W0e=ye((Ear,j0e)=>{\"use strict\";var yT=Mr(),H0e=Zd(),G0e=HU(),v0t=n4(),p0t=v0t.name,g0t=G0e.steps;j0e.exports=function(t,r){H0e(t,r,{name:p0t,handleItemDefaults:m0t})};function m0t(e,t,r){function n(f,h){return yT.coerce(e,t,G0e,f,h)}for(var i=H0e(e,t,{name:\"steps\",handleItemDefaults:y0t}),a=0,o=0;o<i.length;o++)i[o].visible&&a++;var s;if(a<2?s=t.visible=!1:s=n(\"visible\"),!!s){t._stepCount=a;var l=t._visibleSteps=yT.filterVisible(i),u=n(\"active\");(i[u]||{}).visible||(t.active=l[0]._index),n(\"x\"),n(\"y\"),yT.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"len\"),n(\"lenmode\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),yT.coerceFont(n,\"font\",r.font);var 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r=t._context.staticPlot,n=t._fullLayout,i=b0t(n,t),a=n._infolayer.selectAll(\"g.\"+gs.containerClassName).data(i.length>0?[0]:[]);a.enter().append(\"g\").classed(gs.containerClassName,!0).style(\"cursor\",r?null:\"ew-resize\");function o(c){c._commandObserver&&(c._commandObserver.remove(),delete c._commandObserver),gI.autoMargin(t,K0e(c))}if(a.exit().each(function(){Og.select(this).selectAll(\"g.\"+gs.groupClassName).each(o)}).remove(),i.length!==0){var s=a.selectAll(\"g.\"+gs.groupClassName).data(i,w0t);s.enter().append(\"g\").classed(gs.groupClassName,!0),s.exit().each(o).remove();for(var l=0;l<i.length;l++){var u=i[l];T0t(t,u)}s.each(function(c){var f=Og.select(this);k0t(c),gI.manageCommandObserver(t,c,c._visibleSteps,function(h){var d=f.data()[0];d.active!==h.index&&(d._dragging||$0e(t,f,d,h.index,!1,!0))}),A0t(t,Og.select(this),c)})}};function K0e(e){return gs.autoMarginIdRoot+e._index}function b0t(e,t){for(var r=e[gs.name],n=[],i=0;i<r.length;i++){var 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I0t=af(),R0t=Ll(),uge=_I(),D0t=Nh().LINE_SPACING,xI=uge.name;function cge(e){var t=e&&e[xI];return t&&t.visible}bI.isVisible=cge;bI.makeData=function(e){for(var t=I0t.list({_fullLayout:e},\"x\",!0),r=e.margin,n=[],i=0;i<t.length;i++){var a=t[i];if(cge(a)){n.push(a);var o=a[xI];o._id=xI+a._id,o._height=(e.height-r.b-r.t)*o.thickness,o._offsetShift=Math.floor(o.borderwidth/2)}}e._rangeSliderData=n};bI.autoMarginOpts=function(e,t){var r=e._fullLayout,n=t[xI],i=t._id.charAt(0),a=0,o=0;if(t.side===\"bottom\"&&(a=t._depth,t.title.text!==r._dfltTitle[i])){o=1.5*t.title.font.size+10+n._offsetShift;var s=(t.title.text.match(R0t.BR_TAG_ALL)||[]).length;o+=s*t.title.font.size*D0t}return{x:0,y:t._counterDomainMin,l:0,r:0,t:0,b:n._height+a+Math.max(r.margin.b,o),pad:uge.extraPad+n._offsetShift*2}}});var pge=ye((Dar,vge)=>{\"use strict\";var wI=Mr(),hge=Vs(),dge=af(),z0t=yI(),F0t=XU();vge.exports=function(t,r,n){var 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Or=Lt?Math.max(xt-10,0):0;e.selectAll(\".\"+Vc.cboutline).attr(\"x\",(n?_e:Te+d)+Or).attr(\"y\",(n?Te+v-N:_e)+(bt?rt:0)).attr(n?\"width\":\"height\",Math.max(X,2)).attr(n?\"height\":\"width\",Math.max(N-(n?2*v+rt:2*d+Or),2)).call(fV.stroke,t.outlinecolor).style({fill:\"none\",\"stroke-width\":l});var Nr=n?Me*Ht:0,ut=n?0:(1-ke)*Ht-St;if(Nr=E?A.l-Nr:-Nr,ut=g?A.t-ut:-ut,e.attr(\"transform\",Ug(Nr,ut)),!n&&(u||uV(c).getAlpha()&&!uV.equals(k.paper_bgcolor,c))){var Ne=ct.selectAll(\"text\"),Ye=Ne[0].length,Ve=e.select(\".\"+Vc.cbbg).node(),Xe=Ng.bBox(Ve),ht=Ng.getTranslate(e),Le=2;Ne.each(function(ri,bi){var nn=0,Wi=Ye-1;if(bi===nn||bi===Wi){var Ni=Ng.bBox(this),_n=Ng.getTranslate(this),$i;if(bi===Wi){var zn=Ni.right+_n.x,Wn=Xe.right+ht.x+Te-u-Le+x;$i=Wn-zn,$i>0&&($i=0)}else if(bi===nn){var It=Ni.left+_n.x,ft=Xe.left+ht.x+Te+u+Le;$i=ft-It,$i<0&&($i=0)}$i&&(Ye<3?this.setAttribute(\"transform\",\"translate(\"+$i+\",0) 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n=t.orientation===\"v\",i=r._fullLayout,a=i._size,o,s,l;LI.init({element:e.node(),gd:r,prepFn:function(){o=e.attr(\"transform\"),cV(e)},moveFn:function(u,c){e.attr(\"transform\",o+Ug(u,c)),s=LI.align((n?t._uFrac:t._vFrac)+u/a.w,n?t._thickFrac:t._lenFrac,0,1,t.xanchor),l=LI.align((n?t._vFrac:1-t._uFrac)-c/a.h,n?t._lenFrac:t._thickFrac,0,1,t.yanchor);var f=LI.getCursor(s,l,t.xanchor,t.yanchor);cV(e,f)},doneFn:function(){if(cV(e),s!==void 0&&l!==void 0){var u={};u[t._propPrefix+\"x\"]=s,u[t._propPrefix+\"y\"]=l,t._traceIndex!==void 0?dme.call(\"_guiRestyle\",r,u,t._traceIndex):dme.call(\"_guiRelayout\",r,u)}}})}function tmt(e,t,r){var n=t._levels,i=[],a=[],o,s,l=n.end+n.size/100,u=n.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(s=0;s<1e5&&(o=n.start+s*u,!(u>0?o>=l:o<=l));s++)o>c&&o<f&&i.push(o);if(t._fillgradient)a=[0];else if(typeof t._fillcolor==\"function\"){var h=t._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,s=0;s<1e5&&(o=h.start+s*u,!(u>0?o>=l:o<=l));s++)o>r[0]&&o<r[1]&&a.push(o);else a=i.map(function(d){return d-n.size/2}),a.push(a[a.length-1]+n.size)}else t._fillcolor&&typeof t._fillcolor==\"string\"&&(a=[0]);return n.size<0&&(i.reverse(),a.reverse()),{line:i,fill:a}}function rmt(e,t,r){var n=e._fullLayout,i=t.orientation===\"v\",a={type:\"linear\",range:r,tickmode:t.tickmode,nticks:t.nticks,tick0:t.tick0,dtick:t.dtick,tickvals:t.tickvals,ticktext:t.ticktext,ticks:t.ticks,ticklen:t.ticklen,tickwidth:t.tickwidth,tickcolor:t.tickcolor,showticklabels:t.showticklabels,labelalias:t.labelalias,ticklabelposition:t.ticklabelposition,ticklabeloverflow:t.ticklabeloverflow,ticklabelstep:t.ticklabelstep,tickfont:t.tickfont,tickangle:t.tickangle,tickformat:t.tickformat,exponentformat:t.exponentformat,minexponent:t.minexponent,separatethousands:t.separatethousands,showexponent:t.showexponent,showtickprefix:t.showtickprefix,tickprefix:t.tickprefix,showticksuffix:t.showticksuffix,ticksuffix:t.ticksuffix,title:t.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+t._id},l={letter:o,font:n.font,noAutotickangles:o===\"y\",noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function u(c,f){return 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Tf=Uc(),Hme=Oc().axisHoverFormat,vmt=Wo().hovertemplateAttrs,pmt=Wo().texttemplateAttrs,jme=Kl(),gmt=Su(),Gme=Qb(),mmt=Ed().pattern,e2=no().extendFlat,mV=gmt({editType:\"calc\",arrayOk:!0,colorEditType:\"style\"}),ymt=Tf.marker,_mt=ymt.line,xmt=e2({},_mt.width,{dflt:0}),bmt=e2({width:xmt,editType:\"calc\"},jme(\"marker.line\")),wmt=e2({line:bmt,editType:\"calc\"},jme(\"marker\"),{opacity:{valType:\"number\",arrayOk:!0,dflt:1,min:0,max:1,editType:\"style\"},pattern:mmt,cornerradius:{valType:\"any\",editType:\"calc\"}});Wme.exports={x:Tf.x,x0:Tf.x0,dx:Tf.dx,y:Tf.y,y0:Tf.y0,dy:Tf.dy,xperiod:Tf.xperiod,yperiod:Tf.yperiod,xperiod0:Tf.xperiod0,yperiod0:Tf.yperiod0,xperiodalignment:Tf.xperiodalignment,yperiodalignment:Tf.yperiodalignment,xhoverformat:Hme(\"x\"),yhoverformat:Hme(\"y\"),text:Tf.text,texttemplate:pmt({editType:\"plot\"},{keys:Gme.eventDataKeys}),hovertext:Tf.hovertext,hovertemplate:vmt({},{keys:Gme.eventDataKeys}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"calc\"},insidetextanchor:{valType:\"enumerated\",values:[\"end\",\"middle\",\"start\"],dflt:\"end\",editType:\"plot\"},textangle:{valType:\"angle\",dflt:\"auto\",editType:\"plot\"},textfont:e2({},mV,{}),insidetextfont:e2({},mV,{}),outsidetextfont:e2({},mV,{}),constraintext:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"both\",\"none\"],dflt:\"both\",editType:\"calc\"},cliponaxis:e2({},Tf.cliponaxis,{}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc+clearAxisTypes\"},base:{valType:\"any\",dflt:null,arrayOk:!0,editType:\"calc\"},offset:{valType:\"number\",dflt:null,arrayOk:!0,editType:\"calc\"},width:{valType:\"number\",dflt:null,min:0,arrayOk:!0,editType:\"calc\"},marker:wmt,offsetgroup:Tf.offsetgroup,alignmentgroup:Tf.alignmentgroup,selected:{marker:{opacity:Tf.selected.marker.opacity,color:Tf.selected.marker.color,editType:\"style\"},textfont:Tf.selected.textfont,editType:\"style\"},unselected:{marker:{opacity:Tf.unselected.marker.opacity,color:Tf.unselected.marker.color,editType:\"style\"},textfont:Tf.unselected.textfont,editType:\"style\"},zorder:Tf.zorder}});var DI=ye((dor,Zme)=>{\"use strict\";Zme.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}});var zI=ye((vor,Kme)=>{\"use strict\";var Tmt=va(),Xme=Dv().hasColorscale,Yme=Uh(),Amt=Mr().coercePattern;Kme.exports=function(t,r,n,i,a){var o=n(\"marker.color\",i),s=Xme(t,\"marker\");s&&Yme(t,r,a,n,{prefix:\"marker.\",cLetter:\"c\"}),n(\"marker.line.color\",Tmt.defaultLine),Xme(t,\"marker.line\")&&Yme(t,r,a,n,{prefix:\"marker.line.\",cLetter:\"c\"}),n(\"marker.line.width\"),n(\"marker.opacity\"),Amt(n,\"marker.pattern\",o,s),n(\"selected.marker.color\"),n(\"unselected.marker.color\")}});var r0=ye((por,rye)=>{\"use strict\";var Jme=uo(),xT=Mr(),$me=va(),Smt=ba(),Mmt=K3(),Emt=Pg(),kmt=zI(),Cmt=Hb(),Qme=Lm(),FI=xT.coerceFont;function Lmt(e,t,r,n){function i(u,c){return xT.coerce(e,t,Qme,u,c)}var a=Mmt(e,t,n,i);if(!a){t.visible=!1;return}Emt(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"zorder\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\");var o=i(\"textposition\");tye(e,t,n,i,o,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),kmt(e,t,i,r,n);var s=(t.marker.line||{}).color,l=Smt.getComponentMethod(\"errorbars\",\"supplyDefaults\");l(e,t,s||$me.defaultLine,{axis:\"y\"}),l(e,t,s||$me.defaultLine,{axis:\"x\",inherit:\"y\"}),xT.coerceSelectionMarkerOpacity(t,i)}function Pmt(e,t){var r,n;function i(s,l){return xT.coerce(n._input,n,Qme,s,l)}for(var a=0;a<e.length;a++)if(n=e[a],n.type===\"bar\"){r=n._input;var o=i(\"marker.cornerradius\",t.barcornerradius);n.marker&&(n.marker.cornerradius=eye(o)),Cmt(r,n,t,i,t.barmode)}}function eye(e){if(Jme(e)){if(e=+e,e>=0)return e}else if(typeof e==\"string\"&&(e=e.trim(),e.slice(-1)===\"%\"&&Jme(e.slice(0,-1))&&(e=+e.slice(0,-1),e>=0)))return e+\"%\"}function tye(e,t,r,n,i,a){a=a||{};var o=a.moduleHasSelected!==!1,s=a.moduleHasUnselected!==!1,l=a.moduleHasConstrain!==!1,u=a.moduleHasCliponaxis!==!1,c=a.moduleHasTextangle!==!1,f=a.moduleHasInsideanchor!==!1,h=!!a.hasPathbar,d=Array.isArray(i)||i===\"auto\",v=d||i===\"inside\",x=d||i===\"outside\";if(v||x){var b=FI(n,\"textfont\",r.font),g=xT.extendFlat({},b),E=e.textfont&&e.textfont.color,k=!E;if(k&&delete g.color,FI(n,\"insidetextfont\",g),h){var A=xT.extendFlat({},b);k&&delete A.color,FI(n,\"pathbar.textfont\",A)}x&&FI(n,\"outsidetextfont\",b),o&&n(\"selected.textfont.color\"),s&&n(\"unselected.textfont.color\"),l&&n(\"constraintext\"),u&&n(\"cliponaxis\"),c&&n(\"textangle\"),n(\"texttemplate\")}v&&f&&n(\"insidetextanchor\")}rye.exports={supplyDefaults:Lmt,crossTraceDefaults:Pmt,handleText:tye,validateCornerradius:eye}});var yV=ye((gor,iye)=>{\"use strict\";var Imt=ba(),Rmt=Qa(),Dmt=Mr(),zmt=DI(),Fmt=r0().validateCornerradius;iye.exports=function(e,t,r){function n(x,b){return Dmt.coerce(e,t,zmt,x,b)}for(var i=!1,a=!1,o=!1,s={},l=n(\"barmode\"),u=l===\"group\",c=0;c<r.length;c++){var f=r[c];if(Imt.traceIs(f,\"bar\")&&f.visible)i=!0;else continue;var h=f.xaxis+f.yaxis;if(u?(s[h]&&(o=!0),s[h]=!0):(h+=f._input.offsetgroup,s.length>0&&!s[h]&&(o=!0),s[h]=!0),f.visible&&f.type===\"histogram\"){var d=Rmt.getFromId({_fullLayout:t},f[f.orientation===\"v\"?\"xaxis\":\"yaxis\"]);d.type!==\"category\"&&(a=!0)}}if(!i){delete t.barmode;return}l!==\"overlay\"&&n(\"barnorm\"),n(\"bargap\",a&&!o?0:.2),n(\"bargroupgap\");var v=n(\"barcornerradius\");t.barcornerradius=Fmt(v)}});var c4=ye((mor,nye)=>{\"use strict\";var bT=Mr();nye.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;bT.mergeArray(r.text,t,\"tx\"),bT.mergeArray(r.hovertext,t,\"htx\");var i=r.marker;if(i){bT.mergeArray(i.opacity,t,\"mo\",!0),bT.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(bT.mergeArray(a.color,t,\"mlc\"),bT.mergeArrayCastPositive(a.width,t,\"mlw\"))}}});var cye=ye((yor,uye)=>{\"use strict\";var aye=Qa(),oye=Rg(),sye=Dv().hasColorscale,lye=zv(),qmt=c4(),Omt=F0();uye.exports=function(t,r){var n=aye.getFromId(t,r.xaxis||\"x\"),i=aye.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f={msUTC:!!(r.base||r.base===0)};r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\",f),s=i.makeCalcdata(r,\"y\"),l=oye(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\",f),s=n.makeCalcdata(r,\"x\"),l=oye(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var h=Math.min(o.length,a.length),d=new Array(h),v=0;v<h;v++)d[v]={p:o[v],s:a[v]},u&&(d[v].orig_p=s[v],d[v][c+\"End\"]=l.ends[v],d[v][c+\"Start\"]=l.starts[v]),r.ids&&(d[v].id=String(r.ids[v]));return sye(r,\"marker\")&&lye(t,r,{vals:r.marker.color,containerStr:\"marker\",cLetter:\"c\"}),sye(r,\"marker.line\")&&lye(t,r,{vals:r.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),qmt(d,r),Omt(d,r),d}});var _v=ye((_or,hye)=>{\"use strict\";var Bmt=xa(),Nmt=Mr();function Umt(e,t,r){var n=e._fullLayout,i=n[\"_\"+r+\"Text_minsize\"];if(i){var a=n.uniformtext.mode===\"hide\",o;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":o=\"g.slice\";break;case\"treemap\":case\"icicle\":o=\"g.slice, g.pathbar\";break;default:o=\"g.points > g.point\"}t.selectAll(o).each(function(s){var l=s.transform;if(l){l.scale=a&&l.hide?0:i/l.fontSize;var u=Bmt.select(this).select(\"text\");Nmt.setTransormAndDisplay(u,l)}})}}function Vmt(e,t,r){if(r.uniformtext.mode){var n=fye(e),i=r.uniformtext.minsize,a=t.scale*t.fontSize;t.hide=a<i,r[n]=r[n]||1/0,t.hide||(r[n]=Math.min(r[n],Math.max(a,i)))}}function Hmt(e,t){var r=fye(e);t[r]=void 0}function fye(e){return\"_\"+e+\"Text_minsize\"}hye.exports={recordMinTextSize:Vmt,clearMinTextSize:Hmt,resizeText:Umt}});var qI=ye(t2=>{\"use strict\";var Gmt=uo(),jmt=id(),dye=Mr().isArrayOrTypedArray;t2.coerceString=function(e,t,r){if(typeof t==\"string\"){if(t||!e.noBlank)return t}else if((typeof t==\"number\"||t===!0)&&!e.strict)return String(t);return r!==void 0?r:e.dflt};t2.coerceNumber=function(e,t,r){if(Gmt(t)){t=+t;var n=e.min,i=e.max,a=n!==void 0&&t<n||i!==void 0&&t>i;if(!a)return t}return r!==void 0?r:e.dflt};t2.coerceColor=function(e,t,r){return jmt(t).isValid()?t:r!==void 0?r:e.dflt};t2.coerceEnumerated=function(e,t,r){return e.coerceNumber&&(t=+t),e.values.indexOf(t)!==-1?t:r!==void 0?r:e.dflt};t2.getValue=function(e,t){var r;return dye(e)?t<e.length&&(r=e[t]):r=e,r};t2.getLineWidth=function(e,t){var r=0<t.mlw?t.mlw:dye(e.marker.line.width)?0:e.marker.line.width;return r}});var N0=ye((bor,Aye)=>{\"use strict\";var f4=xa(),Wmt=va(),h4=ao(),vye=Mr(),pye=ba(),gye=_v().resizeText,_V=Lm(),Zmt=_V.textfont,Xmt=_V.insidetextfont,Ymt=_V.outsidetextfont,Jd=qI();function Kmt(e){var t=f4.select(e).selectAll('g[class^=\"barlayer\"]').selectAll(\"g.trace\");gye(e,t,\"bar\");var r=t.size(),n=e._fullLayout;t.style(\"opacity\",function(i){return i[0].trace.opacity}).each(function(i){(n.barmode===\"stack\"&&r>1||n.bargap===0&&n.bargroupgap===0&&!i[0].trace.marker.line.width)&&f4.select(this).attr(\"shape-rendering\",\"crispEdges\")}),t.selectAll(\"g.points\").each(function(i){var a=f4.select(this),o=i[0].trace;mye(a,o,e)}),pye.getComponentMethod(\"errorbars\",\"style\")(t)}function mye(e,t,r){h4.pointStyle(e.selectAll(\"path\"),t,r),yye(e,t,r)}function yye(e,t,r){e.selectAll(\"text\").each(function(n){var i=f4.select(this),a=vye.ensureUniformFontSize(r,_ye(i,n,t,r));h4.font(i,a)})}function Jmt(e,t,r){var n=t[0].trace;n.selectedpoints?$mt(r,n,e):(mye(r,n,e),pye.getComponentMethod(\"errorbars\",\"style\")(r))}function $mt(e,t,r){h4.selectedPointStyle(e.selectAll(\"path\"),t),Qmt(e.selectAll(\"text\"),t,r)}function Qmt(e,t,r){e.each(function(n){var i=f4.select(this),a;if(n.selected){a=vye.ensureUniformFontSize(r,_ye(i,n,t,r));var o=t.selected.textfont&&t.selected.textfont.color;o&&(a.color=o),h4.font(i,a)}else h4.selectedTextStyle(i,t)})}function _ye(e,t,r,n){var i=n._fullLayout.font,a=r.textfont;if(e.classed(\"bartext-inside\")){var o=Tye(t,r);a=bye(r,t.i,i,o)}else e.classed(\"bartext-outside\")&&(a=wye(r,t.i,i));return a}function xye(e,t,r){return xV(Zmt,e.textfont,t,r)}function bye(e,t,r,n){var i=xye(e,t,r),a=e._input.textfont===void 0||e._input.textfont.color===void 0||Array.isArray(e.textfont.color)&&e.textfont.color[t]===void 0;return a&&(i={color:Wmt.contrast(n),family:i.family,size:i.size,weight:i.weight,style:i.style,variant:i.variant,textcase:i.textcase,lineposition:i.lineposition,shadow:i.shadow}),xV(Xmt,e.insidetextfont,t,i)}function wye(e,t,r){var n=xye(e,t,r);return xV(Ymt,e.outsidetextfont,t,n)}function xV(e,t,r,n){t=t||{};var i=Jd.getValue(t.family,r),a=Jd.getValue(t.size,r),o=Jd.getValue(t.color,r),s=Jd.getValue(t.weight,r),l=Jd.getValue(t.style,r),u=Jd.getValue(t.variant,r),c=Jd.getValue(t.textcase,r),f=Jd.getValue(t.lineposition,r),h=Jd.getValue(t.shadow,r);return{family:Jd.coerceString(e.family,i,n.family),size:Jd.coerceNumber(e.size,a,n.size),color:Jd.coerceColor(e.color,o,n.color),weight:Jd.coerceString(e.weight,s,n.weight),style:Jd.coerceString(e.style,l,n.style),variant:Jd.coerceString(e.variant,u,n.variant),textcase:Jd.coerceString(e.variant,c,n.textcase),lineposition:Jd.coerceString(e.variant,f,n.lineposition),shadow:Jd.coerceString(e.variant,h,n.shadow)}}function Tye(e,t){return t.type===\"waterfall\"?t[e.dir].marker.color:e.mcc||e.mc||t.marker.color}Aye.exports={style:Kmt,styleTextPoints:yye,styleOnSelect:Jmt,getInsideTextFont:bye,getOutsideTextFont:wye,getBarColor:Tye,resizeText:gye}});var i2=ye((wor,Iye)=>{\"use strict\";var OI=xa(),BI=uo(),Pd=Mr(),eyt=Ll(),tyt=va(),T_=ao(),ryt=ba(),NI=Qa().tickText,Sye=_v(),iyt=Sye.recordMinTextSize,nyt=Sye.clearMinTextSize,bV=N0(),wT=qI(),ayt=Qb(),Mye=Lm(),oyt=Mye.text,syt=Mye.textposition,lyt=rp().appendArrayPointValue,Uv=ayt.TEXTPAD;function uyt(e){return e.id}function cyt(e){if(e.ids)return uyt}function wV(e){return(e>0)-(e<0)}function Pm(e,t){return e<t?1:-1}function fyt(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),n?[i,a]:[a,i]}function Eye(e,t,r,n){if(!t.uniformtext.mode&&kye(r)){var i;return n&&(i=n()),e.transition().duration(r.duration).ease(r.easing).each(\"end\",function(){i&&i()}).each(\"interrupt\",function(){i&&i()})}else return e}function kye(e){return e&&e.duration>0}function hyt(e,t,r,n,i,a){var o=t.xaxis,s=t.yaxis,l=e._fullLayout,u=e._context.staticPlot;i||(i={mode:l.barmode,norm:l.barmode,gap:l.bargap,groupgap:l.bargroupgap},nyt(\"bar\",l));var c=Pd.makeTraceGroups(n,r,\"trace bars\").each(function(f){var h=OI.select(this),d=f[0].trace,v=f[0].t,x=d.type===\"waterfall\",b=d.type===\"funnel\",g=d.type===\"histogram\",E=d.type===\"bar\",k=E||b,A=0;x&&d.connector.visible&&d.connector.mode===\"between\"&&(A=d.connector.line.width/2);var L=d.orientation===\"h\",_=kye(i),C=Pd.ensureSingle(h,\"g\",\"points\"),M=cyt(d),p=C.selectAll(\"g.point\").data(Pd.identity,M);p.enter().append(\"g\").classed(\"point\",!0),p.exit().remove(),p.each(function(T,F){var q=OI.select(this),V=fyt(T,o,s,L),H=V[0][0],X=V[0][1],G=V[1][0],N=V[1][1],W=(L?X-H:N-G)===0;W&&k&&wT.getLineWidth(d,T)&&(W=!1),W||(W=!BI(H)||!BI(X)||!BI(G)||!BI(N)),T.isBlank=W,W&&(L?X=H:N=G),A&&!W&&(L?(H-=Pm(H,X)*A,X+=Pm(H,X)*A):(G-=Pm(G,N)*A,N+=Pm(G,N)*A));var re,ae;if(d.type===\"waterfall\"){if(!W){var _e=d[T.dir].marker;re=_e.line.width,ae=_e.color}}else re=wT.getLineWidth(d,T),ae=T.mc||d.marker.color;function Me(Ke){var xt=OI.round(re/2%1,2);return 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pyt(e,t,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,u=i.width,c=i.height,f=Math.abs(t-e),h=Math.abs(n-r),d;o?d=h>2*Uv?Uv:0:d=f>2*Uv?Uv:0;var v=1;s&&(v=o?Math.min(1,h/c):Math.min(1,f/u));var x=Cye(l),b=Lye(i,x),g=(o?b.x:b.y)/2,E=(i.left+i.right)/2,k=(i.top+i.bottom)/2,A=(e+t)/2,L=(r+n)/2,_=0,C=0,M=o?Pm(t,e):Pm(r,n);return o?(A=t-M*d,_=M*g):(L=n+M*d,C=-M*g),{textX:E,textY:k,targetX:A,targetY:L,anchorX:_,anchorY:C,scale:v,rotate:x}}function gyt(e,t,r,n,i){var a=t[0].trace,o=a.texttemplate,s;return o?s=yyt(e,t,r,n,i):a.textinfo?s=_yt(t,r,n,i):s=wT.getValue(a.text,r),wT.coerceString(oyt,s)}function myt(e,t){var r=wT.getValue(e.textposition,t);return wT.coerceEnumerated(syt,r)}function yyt(e,t,r,n,i){var a=t[0].trace,o=Pd.castOption(a,r,\"texttemplate\");if(!o)return\"\";var s=a.type===\"histogram\",l=a.type===\"waterfall\",u=a.type===\"funnel\",c=a.orientation===\"h\",f,h,d,v;c?(f=\"y\",h=i,d=\"x\",v=n):(f=\"x\",h=n,d=\"y\",v=i);function x(_){return 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Re=0;Ae-ze<=0&&(Re=-re*(Ae-ze),Re>W?(Te=!0,ie=Ce,ke=Re):Re>_e&&(ie=Ce,ke=W)),Re<=W&&(ke=W)}else Me=N,ke=W;var ce=new Array(c.length);for(u=0;u<c.length;u++)ce[u]=c[u].pos;A._extremes[o]=c1e.findExtremes(n,ce,{padded:Te,vpadminus:ke,vpadplus:Me,vpadLinearized:!0,ppadminus:{x:ie,y:ge}[s],ppadplus:{x:ge,y:ie}[s]})}}}d1e.exports={crossTraceCalc:Wyt,setPositionOffset:h1e}});var GI=ye((Dor,y1e)=>{\"use strict\";var MT=xa(),n2=Mr(),Zyt=ao(),v1e=5,Xyt=.01;function Yyt(e,t,r,n){var i=e._context.staticPlot,a=t.xaxis,o=t.yaxis;n2.makeTraceGroups(n,r,\"trace boxes\").each(function(s){var l=MT.select(this),u=s[0],c=u.t,f=u.trace;if(c.wdPos=c.bdPos*f.whiskerwidth,f.visible!==!0||c.empty){l.remove();return}var h,d;f.orientation===\"h\"?(h=o,d=a):(h=a,d=o),p1e(l,{pos:h,val:d},f,c,i),g1e(l,{x:a,y:o},f,c),m1e(l,{pos:h,val:d},f,c)})}function p1e(e,t,r,n,i){var a=r.orientation===\"h\",o=t.val,s=t.pos,l=!!s.rangebreaks,u=n.bPos,c=n.wdPos||0,f=n.bPosPxOffset||0,h=r.whiskerwidth||0,d=r.showwhiskers!==!1,v=r.notched||!1,x=v?1-2*r.notchwidth:1,b,g;Array.isArray(n.bdPos)?(b=n.bdPos[0],g=n.bdPos[1]):(b=n.bdPos,g=n.bdPos);var E=e.selectAll(\"path.box\").data(r.type!==\"violin\"||r.box.visible?n2.identity:[]);E.enter().append(\"path\").style(\"vector-effect\",i?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),E.exit().remove(),E.each(function(k){if(k.empty)return MT.select(this).attr(\"d\",\"M0,0Z\");var A=s.c2l(k.pos+u,!0),L=s.l2p(A-b)+f,_=s.l2p(A+g)+f,C=l?(L+_)/2:s.l2p(A)+f,M=r.whiskerwidth,p=l?L*M+(1-M)*C:s.l2p(A-c)+f,P=l?_*M+(1-M)*C:s.l2p(A+c)+f,T=s.l2p(A-b*x)+f,F=s.l2p(A+g*x)+f,q=r.sizemode===\"sd\",V=o.c2p(q?k.mean-k.sd:k.q1,!0),H=q?o.c2p(k.mean+k.sd,!0):o.c2p(k.q3,!0),X=n2.constrain(q?o.c2p(k.mean,!0):o.c2p(k.med,!0),Math.min(V,H)+1,Math.max(V,H)-1),G=k.lf===void 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h.forEach(function(d){d.t=n,d.trace=r}),h},c=e.selectAll(\"g.points\").data(l?u:[]);c.enter().append(\"g\").attr(\"class\",\"points\"),c.exit().remove();var f=c.selectAll(\"path\").data(function(h){var d,v=h.pts2,x=Math.max((h.max-h.min)/10,h.q3-h.q1),b=x*1e-9,g=x*Xyt,E=[],k=0,A;if(r.jitter){if(x===0)for(k=1,E=new Array(v.length),d=0;d<v.length;d++)E[d]=1;else for(d=0;d<v.length;d++){var L=Math.max(0,d-v1e),_=v[L].v,C=Math.min(v.length-1,d+v1e),M=v[C].v;l!==\"all\"&&(v[d].v<h.lf?M=Math.min(M,h.lf):_=Math.max(_,h.uf));var p=Math.sqrt(g*(C-L)/(M-_+b))||0;p=n2.constrain(Math.abs(p),0,1),E.push(p),k=Math.max(p,k)}A=r.jitter*2/(k||1)}for(d=0;d<v.length;d++){var P=v[d],T=P.v,F=r.jitter?A*E[d]*(n2.pseudoRandom()-.5):0,q=h.pos+s+o*(r.pointpos+F);r.orientation===\"h\"?(P.y=q,P.x=T):(P.x=q,P.y=T),l===\"suspectedoutliers\"&&T<h.uo&&T>h.lo&&(P.so=!0)}return v});f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(Zyt.translatePoints,i,a)}function m1e(e,t,r,n){var i=t.val,a=t.pos,o=!!a.rangebreaks,s=n.bPos,l=n.bPosPxOffset||0,u=r.boxmean||(r.meanline||{}).visible,c,f;Array.isArray(n.bdPos)?(c=n.bdPos[0],f=n.bdPos[1]):(c=n.bdPos,f=n.bdPos);var h=e.selectAll(\"path.mean\").data(r.type===\"box\"&&r.boxmean||r.type===\"violin\"&&r.box.visible&&r.meanline.visible?n2.identity:[]);h.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),h.exit().remove(),h.each(function(d){var v=a.c2l(d.pos+s,!0),x=a.l2p(v-c)+l,b=a.l2p(v+f)+l,g=o?(x+b)/2:a.l2p(v)+l,E=i.c2p(d.mean,!0),k=i.c2p(d.mean-d.sd,!0),A=i.c2p(d.mean+d.sd,!0);r.orientation===\"h\"?MT.select(this).attr(\"d\",\"M\"+E+\",\"+x+\"V\"+b+(u===\"sd\"?\"m0,0L\"+k+\",\"+g+\"L\"+E+\",\"+x+\"L\"+A+\",\"+g+\"Z\":\"\")):MT.select(this).attr(\"d\",\"M\"+x+\",\"+E+\"H\"+b+(u===\"sd\"?\"m0,0L\"+g+\",\"+k+\"L\"+x+\",\"+E+\"L\"+g+\",\"+A+\"Z\":\"\"))})}y1e.exports={plot:Yyt,plotBoxAndWhiskers:p1e,plotPoints:g1e,plotBoxMean:m1e}});var jI=ye((zor,_1e)=>{\"use 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$yt=Qa(),LV=Mr(),A_=Nc(),x1e=va(),Qyt=LV.fillText;function e1t(e,t,r,n){var i=e.cd,a=i[0].trace,o=a.hoveron,s=[],l;return o.indexOf(\"boxes\")!==-1&&(s=s.concat(b1e(e,t,r,n))),o.indexOf(\"points\")!==-1&&(l=w1e(e,t,r)),n===\"closest\"?l?[l]:s:(l&&s.push(l),s)}function b1e(e,t,r,n){var i=e.cd,a=e.xa,o=e.ya,s=i[0].trace,l=i[0].t,u=s.type===\"violin\",c,f,h,d,v,x,b,g,E,k,A,L=l.bdPos,_,C,M=l.wHover,p=function(Ce){return h.c2l(Ce.pos)+l.bPos-h.c2l(x)};u&&s.side!==\"both\"?(s.side===\"positive\"&&(E=function(Ce){var me=p(Ce);return A_.inbox(me,me+M,k)},_=L,C=0),s.side===\"negative\"&&(E=function(Ce){var me=p(Ce);return A_.inbox(me-M,me,k)},_=0,C=L)):(E=function(Ce){var me=p(Ce);return A_.inbox(me-M,me+M,k)},_=C=L);var P;u?P=function(Ce){return A_.inbox(Ce.span[0]-v,Ce.span[1]-v,k)}:P=function(Ce){return A_.inbox(Ce.min-v,Ce.max-v,k)},s.orientation===\"h\"?(v=t,x=r,b=P,g=E,c=\"y\",h=o,f=\"x\",d=a):(v=r,x=t,b=E,g=P,c=\"x\",h=a,f=\"y\",d=o);var T=Math.min(1,L/Math.abs(h.r2c(h.range[1])-h.r2c(h.range[0])));k=e.maxHoverDistance-T,A=e.maxSpikeDistance-T;function F(Ce){return(b(Ce)+g(Ce))/2}var q=A_.getDistanceFunction(n,b,g,F);if(A_.getClosest(i,q,e),e.index===!1)return[];var V=i[e.index],H=s.line.color,X=(s.marker||{}).color;x1e.opacity(H)&&s.line.width?e.color=H:x1e.opacity(X)&&s.boxpoints?e.color=X:e.color=s.fillcolor,e[c+\"0\"]=h.c2p(V.pos+l.bPos-C,!0),e[c+\"1\"]=h.c2p(V.pos+l.bPos+_,!0),e[c+\"LabelVal\"]=V.orig_p!==void 0?V.orig_p:V.pos;var G=c+\"Spike\";e.spikeDistance=F(V)*A/k,e[G]=h.c2p(V.pos,!0);var N=s.boxmean||s.sizemode===\"sd\"||(s.meanline||{}).visible,W=s.boxpoints||s.points,re=W&&N?[\"max\",\"uf\",\"q3\",\"med\",\"mean\",\"q1\",\"lf\",\"min\"]:W&&!N?[\"max\",\"uf\",\"q3\",\"med\",\"q1\",\"lf\",\"min\"]:!W&&N?[\"max\",\"q3\",\"med\",\"mean\",\"q1\",\"min\"]:[\"max\",\"q3\",\"med\",\"q1\",\"min\"],ae=d.range[1]<d.range[0];s.orientation===(ae?\"v\":\"h\")&&re.reverse();for(var _e=e.spikeDistance,Me=e[G],ke=[],ge=0;ge<re.length;ge++){var ie=re[ge];if(ie in V){var Te=V[ie],Ee=d.c2p(Te,!0),Ae=LV.extendFlat({},e);Ae.attr=ie,Ae[f+\"0\"]=Ae[f+\"1\"]=Ee,Ae[f+\"LabelVal\"]=Te,Ae[f+\"Label\"]=(l.labels?l.labels[ie]+\" \":\"\")+$yt.hoverLabelText(d,Te,s[f+\"hoverformat\"]),Ae.hoverOnBox=!0,ie===\"mean\"&&\"sd\"in V&&(s.boxmean===\"sd\"||s.sizemode===\"sd\")&&(Ae[f+\"err\"]=V.sd),Ae.hovertemplate=!1,ke.push(Ae)}}e.name=\"\",e.spikeDistance=void 0,e[G]=void 0;for(var ze=0;ze<ke.length;ze++)ke[ze].attr!==\"med\"?(ke[ze].name=\"\",ke[ze].spikeDistance=void 0,ke[ze][G]=void 0):(ke[ze].spikeDistance=_e,ke[ze][G]=Me);return ke}function w1e(e,t,r){for(var n=e.cd,i=e.xa,a=e.ya,o=n[0].trace,s=i.c2p(t),l=a.c2p(r),u,c=function(P){var T=Math.max(3,P.mrc||0);return Math.max(Math.abs(i.c2p(P.x)-s)-T,1-3/T)},f=function(P){var T=Math.max(3,P.mrc||0);return Math.max(Math.abs(a.c2p(P.y)-l)-T,1-3/T)},h=A_.quadrature(c,f),d=!1,v,x,b=0;b<n.length;b++){v=n[b];for(var g=0;g<(v.pts||[]).length;g++){x=v.pts[g];var E=h(x);E<=e.distance&&(e.distance=E,d=[b,g])}}if(!d)return!1;v=n[d[0]],x=v.pts[d[1]];var k=i.c2p(x.x,!0),A=a.c2p(x.y,!0),L=x.mrc||1;u=LV.extendFlat({},e,{index:x.i,color:(o.marker||{}).color,name:o.name,x0:k-L,x1:k+L,y0:A-L,y1:A+L,spikeDistance:e.distance,hovertemplate:o.hovertemplate});var _=v.orig_p,C=_!==void 0?_:v.pos,M;o.orientation===\"h\"?(M=a,u.xLabelVal=x.x,u.yLabelVal=C):(M=i,u.xLabelVal=C,u.yLabelVal=x.y);var p=M._id.charAt(0);return u[p+\"Spike\"]=M.c2p(v.pos,!0),Qyt(x,o,u),u}T1e.exports={hoverPoints:e1t,hoverOnBoxes:b1e,hoverOnPoints:w1e}});var S1e=ye((qor,A1e)=>{\"use strict\";A1e.exports=function(t,r){return r.hoverOnBox&&(t.hoverOnBox=r.hoverOnBox),\"xVal\"in r&&(t.x=r.xVal),\"yVal\"in r&&(t.y=r.yVal),r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),t}});var IV=ye((Oor,M1e)=>{\"use strict\";M1e.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s,l;if(r===!1)for(s=0;s<n.length;s++)for(l=0;l<(n[s].pts||[]).length;l++)n[s].pts[l].selected=0;else for(s=0;s<n.length;s++)for(l=0;l<(n[s].pts||[]).length;l++){var u=n[s].pts[l],c=i.c2p(u.x),f=a.c2p(u.y);r.contains([c,f],null,u.i,t)?(o.push({pointNumber:u.i,x:i.c2d(u.x),y:a.c2d(u.y)}),u.selected=1):u.selected=0}return o}});var k1e=ye((Bor,E1e)=>{\"use strict\";E1e.exports={attributes:v4(),layoutAttributes:p4(),supplyDefaults:m4().supplyDefaults,crossTraceDefaults:m4().crossTraceDefaults,supplyLayoutDefaults:UI().supplyLayoutDefaults,calc:MV(),crossTraceCalc:HI().crossTraceCalc,plot:GI().plot,style:jI().style,styleOnSelect:jI().styleOnSelect,hoverPoints:PV().hoverPoints,eventData:S1e(),selectPoints:IV(),moduleType:\"trace\",name:\"box\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}});var L1e=ye((Nor,C1e)=>{\"use strict\";C1e.exports=k1e()});var ET=ye((Uor,P1e)=>{\"use strict\";var n0=Uc(),t1t=vl(),r1t=Su(),RV=Oc().axisHoverFormat,i1t=Wo().hovertemplateAttrs,n1t=Wo().texttemplateAttrs,a1t=Kl(),Pp=no().extendFlat;P1e.exports=Pp({z:{valType:\"data_array\",editType:\"calc\"},x:Pp({},n0.x,{impliedEdits:{xtype:\"array\"}}),x0:Pp({},n0.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:Pp({},n0.dx,{impliedEdits:{xtype:\"scaled\"}}),y:Pp({},n0.y,{impliedEdits:{ytype:\"array\"}}),y0:Pp({},n0.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:Pp({},n0.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:Pp({},n0.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:Pp({},n0.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:Pp({},n0.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:Pp({},n0.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:Pp({},n0.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:Pp({},n0.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:RV(\"x\"),yhoverformat:RV(\"y\"),zhoverformat:RV(\"z\",1),hovertemplate:i1t(),texttemplate:n1t({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:r1t({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:Pp({},t1t.showlegend,{dflt:!1}),zorder:n0.zorder},a1t(\"\",{cLetter:\"z\",autoColorDflt:!1}))});var 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r=t.length-2,n=G0.constrain(G0.findBin(e,t),0,r),i=t[n],a=t[n+1],o=G0.constrain(n+(e-i)/(a-i)-.5,0,r),s=Math.round(o),l=Math.abs(o-s);return!o||o===r||!l?{bin0:s,bin1:s,frac:0}:{bin0:s,frac:l,bin1:Math.round(s+l/(o-s))}}function L_e(e,t){var r=t.length-1,n=G0.constrain(G0.findBin(e,t),0,r),i=t[n],a=t[n+1],o=(e-i)/(a-i)||0;return o<=0?{bin0:n,bin1:n,frac:0}:o<.5?{bin0:n,bin1:n+1,frac:o}:{bin0:n+1,bin1:n,frac:1-o}}function P_e(e,t,r){e[t]=r[0],e[t+1]=r[1],e[t+2]=r[2],e[t+3]=Math.round(r[3]*255)}});var S_=ye((ssr,z_e)=>{\"use strict\";z_e.exports={min:\"zmin\",max:\"zmax\"}});var s8=ye((lsr,F_e)=>{\"use strict\";var e_t=xa();F_e.exports=function(t){e_t.select(t).selectAll(\".hm image\").style(\"opacity\",function(r){return r.trace.opacity})}});var u8=ye((usr,O_e)=>{\"use strict\";var q_e=Nc(),_4=Mr(),l8=_4.isArrayOrTypedArray,t_t=Qa(),r_t=Mu().extractOpts;O_e.exports=function(t,r,n,i,a){a||(a={});var o=a.isContour,s=t.cd[0],l=s.trace,u=t.xa,c=t.ya,f=s.x,h=s.y,d=s.z,v=s.xCenter,x=s.yCenter,b=s.zmask,g=l.zhoverformat,E=f,k=h,A,L,_,C;if(t.index!==!1){try{_=Math.round(t.index[1]),C=Math.round(t.index[0])}catch(re){_4.error(\"Error hovering on heatmap, pointNumber must be [row,col], found:\",t.index);return}if(_<0||_>=d[0].length||C<0||C>d.length)return}else{if(q_e.inbox(r-f[0],r-f[f.length-1],0)>0||q_e.inbox(n-h[0],n-h[h.length-1],0)>0)return;if(o){var M;for(E=[2*f[0]-f[1]],M=1;M<f.length;M++)E.push((f[M]+f[M-1])/2);for(E.push([2*f[f.length-1]-f[f.length-2]]),k=[2*h[0]-h[1]],M=1;M<h.length;M++)k.push((h[M]+h[M-1])/2);k.push([2*h[h.length-1]-h[h.length-2]])}_=Math.max(0,Math.min(E.length-2,_4.findBin(r,E))),C=Math.max(0,Math.min(k.length-2,_4.findBin(n,k)))}var 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Ip=Lm(),W_e=Oc().axisHoverFormat,i_t=Wo().hovertemplateAttrs,n_t=Wo().texttemplateAttrs,XV=Su(),Z_e=ZV(),a_t=j_e(),YV=no().extendFlat;X_e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},xhoverformat:W_e(\"x\"),yhoverformat:W_e(\"y\"),text:YV({},Ip.text,{}),hovertext:YV({},Ip.hovertext,{}),orientation:Ip.orientation,histfunc:{valType:\"enumerated\",values:[\"count\",\"sum\",\"avg\",\"min\",\"max\"],dflt:\"count\",editType:\"calc\"},histnorm:{valType:\"enumerated\",values:[\"\",\"percent\",\"probability\",\"density\",\"probability 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$_e=ye((psr,J_e)=>{\"use strict\";var Y_e=ba(),x4=Mr(),K_e=va(),o_t=r0().handleText,s_t=zI(),l_t=c8();J_e.exports=function(t,r,n,i){function a(E,k){return x4.coerce(t,r,l_t,E,k)}var o=a(\"x\"),s=a(\"y\"),l=a(\"cumulative.enabled\");l&&(a(\"cumulative.direction\"),a(\"cumulative.currentbin\")),a(\"text\");var u=a(\"textposition\");o_t(t,r,i,a,u,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),a(\"hovertext\"),a(\"hovertemplate\"),a(\"xhoverformat\"),a(\"yhoverformat\");var c=a(\"orientation\",s&&!o?\"h\":\"v\"),f=c===\"v\"?\"x\":\"y\",h=c===\"v\"?\"y\":\"x\",d=o&&s?Math.min(x4.minRowLength(o)&&x4.minRowLength(s)):x4.minRowLength(r[f]||[]);if(!d){r.visible=!1;return}r._length=d;var v=Y_e.getComponentMethod(\"calendars\",\"handleTraceDefaults\");v(t,r,[\"x\",\"y\"],i);var x=r[h];x&&a(\"histfunc\"),a(\"histnorm\"),a(\"autobin\"+f),s_t(t,r,a,n,i),x4.coerceSelectionMarkerOpacity(r,a);var 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W=b(H,G),re=H[G+\"calendar\"]||\"\",ae=n[X],_e=!0;ae&&(W===ae.axType&&re===ae.calendar?(_e=!1,ae.traces.push(H),ae.dirs.push(G)):(X=N,W!==ae.axType&&b4.warn([\"Attempted to group the bins of trace\",H.index,\"set on a\",\"type:\"+W,\"axis\",\"with bins on\",\"type:\"+ae.axType,\"axis.\"].join(\" \")),re!==ae.calendar&&b4.warn([\"Attempted to group the bins of trace\",H.index,\"set with a\",re,\"calendar\",\"with bins\",ae.calendar?\"on a \"+ae.calendar+\" calendar\":\"w/o a set calendar\"].join(\" \")))),_e&&(n[X]={traces:[H],dirs:[G],axType:W,calendar:H[G+\"calendar\"]||\"\"}),H[\"_\"+G+\"bingroup\"]=X}for(f=0;f<t.length;f++)if(s=t[f],f8(s,\"histogram\")){if(i.push(s),delete s._xautoBinFinished,delete s._yautoBinFinished,s.type===\"histogram\"){var E=v(\"marker.cornerradius\",r.barcornerradius);s.marker&&(s.marker.cornerradius=f_t(E))}f8(s,\"2dMap\")||c_t(s._input,s,r,v,r.barmode)}var k=r._alignmentOpts||{};for(f=0;f<i.length;f++){if(s=i[f],u=\"\",!f8(s,\"2dMap\")){if(c=x(s),r.barmode===\"group\"&&s.alignmentgroup){var A=s[c+\"axis\"],L=KV(r,A)+s.orientation;(k[L]||{})[s.alignmentgroup]&&(u=L)}!u&&r.barmode!==\"overlay\"&&(u=KV(r,s.xaxis)+KV(r,s.yaxis)+x(s))}u?(a[u]||(a[u]=[]),a[u].push(s)):o.push(s)}for(u in a){if(l=a[u],l.length===1){o.push(l[0]);continue}var _=!1;for(l.length&&(s=l[0],_=v(\"bingroup\")),u=_||u,f=0;f<l.length;f++){s=l[f];var C=s._input.bingroup;C&&C!==u&&b4.warn([\"Trace\",s.index,\"must match\",\"within bingroup\",u+\".\",\"Ignoring its bingroup:\",C,\"setting.\"].join(\" \")),s.bingroup=u,g(s,u,x(s))}}for(f=0;f<o.length;f++){s=o[f];var M=v(\"bingroup\");if(f8(s,\"2dMap\"))for(d=0;d<2;d++){c=h_t[d];var p=v(c+\"bingroup\",M?M+\"__\"+c:null);g(s,p,c)}else g(s,M,x(s))}for(u in n){var P=n[u];for(l=P.traces,h=0;h<exe.length;h++){var 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w8=xa(),ube=ao(),lxt=s8(),uxt=gH();cbe.exports=function(t){var r=w8.select(t).selectAll(\"g.contour\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=w8.select(this),a=n[0].trace,o=a.contours,s=a.line,l=o.size||1,u=o.start,c=o.type===\"constraint\",f=!c&&o.coloring===\"lines\",h=!c&&o.coloring===\"fill\",d=f||h?uxt(a):null;i.selectAll(\"g.contourlevel\").each(function(b){w8.select(this).selectAll(\"path\").call(ube.lineGroupStyle,s.width,f?d(b.level):s.color,s.dash)});var v=o.labelfont;if(i.selectAll(\"g.contourlabels text\").each(function(b){ube.font(w8.select(this),{weight:v.weight,style:v.style,variant:v.variant,textcase:v.textcase,lineposition:v.lineposition,shadow:v.shadow,family:v.family,size:v.size,color:v.color||(f?d(b.level):s.color)})}),c)i.selectAll(\"g.contourfill path\").style(\"fill\",a.fillcolor);else if(h){var x;i.selectAll(\"g.contourfill path\").style(\"fill\",function(b){return x===void 0&&(x=b.level),d(b.level+.5*l)}),x===void 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pbe=ye((Ysr,vbe)=>{\"use strict\";vbe.exports={attributes:rH(),supplyDefaults:zxe(),crossTraceDefaults:h8(),calc:sH(),plot:b8().plot,layerName:\"contourlayer\",style:T8(),colorbar:A8(),hoverPoints:mH(),moduleType:\"trace\",name:\"histogram2dcontour\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"histogram\",\"showLegend\"],meta:{}}});var mbe=ye((Ksr,gbe)=>{\"use strict\";gbe.exports=pbe()});var yH=ye((Jsr,Tbe)=>{\"use strict\";var ybe=uo(),vxt=iH(),bbe=va(),_be=bbe.addOpacity,pxt=bbe.opacity,wbe=p8(),xbe=Mr().isArrayOrTypedArray,gxt=wbe.CONSTRAINT_REDUCTION,mxt=wbe.COMPARISON_OPS2;Tbe.exports=function(t,r,n,i,a,o){var s=r.contours,l,u,c,f=n(\"contours.operation\");if(s._operation=gxt[f],yxt(n,s),f===\"=\"?l=s.showlines=!0:(l=n(\"contours.showlines\"),c=n(\"fillcolor\",_be((t.line||{}).color||a,.5))),l){var h=c&&pxt(c)?_be(r.fillcolor,1):a;u=n(\"line.color\",h),n(\"line.width\",2),n(\"line.dash\")}n(\"line.smoothing\"),vxt(n,i,u,o)};function yxt(e,t){var r;mxt.indexOf(t.operation)===-1?(e(\"contours.value\",[0,1]),xbe(t.value)?t.value.length>2?t.value=t.value.slice(2):t.length===0?t.value=[0,1]:t.length<2?(r=parseFloat(t.value[0]),t.value=[r,r+1]):t.value=[parseFloat(t.value[0]),parseFloat(t.value[1])]:ybe(t.value)&&(r=parseFloat(t.value),t.value=[r,r+1])):(e(\"contours.value\",0),ybe(t.value)||(xbe(t.value)?t.value=parseFloat(t.value[0]):t.value=0))}});var Mbe=ye(($sr,Sbe)=>{\"use strict\";var _H=Mr(),_xt=ZI(),xxt=Pg(),bxt=yH(),wxt=m8(),Txt=y8(),Axt=y4(),Abe=T4();Sbe.exports=function(t,r,n,i){function a(u,c){return _H.coerce(t,r,Abe,u,c)}function o(u){return _H.coerce2(t,r,Abe,u)}var s=_xt(t,r,a,i);if(!s){r.visible=!1;return}xxt(t,r,i,a),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"text\"),a(\"hovertext\"),a(\"hoverongaps\"),a(\"hovertemplate\");var 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Sxt=Wo().hovertemplateAttrs,Mxt=Wo().texttemplateAttrs,Ext=Eg(),a0=Uc(),kxt=vl(),Pbe=Kl(),Cxt=Ed().dash,M_=no().extendFlat,j0=a0.marker,C4=a0.line,Lxt=j0.line;Ibe.exports={a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},c:{valType:\"data_array\",editType:\"calc\"},sum:{valType:\"number\",dflt:0,min:0,editType:\"calc\"},mode:M_({},a0.mode,{dflt:\"markers\"}),text:M_({},a0.text,{}),texttemplate:Mxt({editType:\"plot\"},{keys:[\"a\",\"b\",\"c\",\"text\"]}),hovertext:M_({},a0.hovertext,{}),line:{color:C4.color,width:C4.width,dash:Cxt,backoff:C4.backoff,shape:M_({},C4.shape,{values:[\"linear\",\"spline\"]}),smoothing:C4.smoothing,editType:\"calc\"},connectgaps:a0.connectgaps,cliponaxis:a0.cliponaxis,fill:M_({},a0.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:Ext(),marker:M_({symbol:j0.symbol,opacity:j0.opacity,angle:j0.angle,angleref:j0.angleref,standoff:j0.standoff,maxdisplayed:j0.maxdisplayed,size:j0.size,sizeref:j0.sizeref,sizemin:j0.sizemin,sizemode:j0.sizemode,line:M_({width:Lxt.width,editType:\"calc\"},Pbe(\"marker.line\")),gradient:j0.gradient,editType:\"calc\"},Pbe(\"marker\")),textfont:a0.textfont,textposition:a0.textposition,selected:a0.selected,unselected:a0.unselected,hoverinfo:M_({},kxt.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:a0.hoveron,hovertemplate:Sxt()}});var Fbe=ye((rlr,zbe)=>{\"use strict\";var Rbe=Mr(),Pxt=Sm(),zT=lu(),Ixt=$p(),Rxt=R0(),Dbe=J3(),Dxt=D0(),zxt=Ig(),Fxt=xH();zbe.exports=function(t,r,n,i){function a(h,d){return Rbe.coerce(t,r,Fxt,h,d)}var o=a(\"a\"),s=a(\"b\"),l=a(\"c\"),u;if(o?(u=o.length,s?(u=Math.min(u,s.length),l&&(u=Math.min(u,l.length))):l?u=Math.min(u,l.length):u=0):s&&l&&(u=Math.min(s.length,l.length)),!u){r.visible=!1;return}r._length=u,a(\"sum\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&a(\"hovertemplate\");var c=u<Pxt.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"mode\",c),zT.hasMarkers(r)&&Ixt(t,r,n,i,a,{gradient:!0}),zT.hasLines(r)&&(Rxt(t,r,n,i,a,{backoff:!0}),Dbe(t,r,a),a(\"connectgaps\")),zT.hasText(r)&&(a(\"texttemplate\"),Dxt(t,r,i,a));var f=[];(zT.hasMarkers(r)||zT.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),f.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(zxt(t,r,n,a),zT.hasLines(r)||Dbe(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&f.push(\"fills\"),a(\"hoveron\",f.join(\"+\")||\"points\"),Rbe.coerceSelectionMarkerOpacity(r,a)}});var Obe=ye((ilr,qbe)=>{\"use strict\";var bH=Qa();qbe.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot;return i.aLabel=bH.tickText(a.aaxis,t.a,!0).text,i.bLabel=bH.tickText(a.baxis,t.b,!0).text,i.cLabel=bH.tickText(a.caxis,t.c,!0).text,i}});var Vbe=ye((nlr,Ube)=>{\"use strict\";var wH=uo(),qxt=z0(),Oxt=km(),Bxt=F0(),Nxt=q0().calcMarkerSize,Bbe=[\"a\",\"b\",\"c\"],Nbe={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};Ube.exports=function(t,r){var n=t._fullLayout[r.subplot],i=n.sum,a=r.sum||i,o={a:r.a,b:r.b,c:r.c},s=r.ids,l,u,c,f,h,d;for(l=0;l<Bbe.length;l++)if(c=Bbe[l],!o[c]){for(h=o[Nbe[c][0]],d=o[Nbe[c][1]],f=new 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o.x0=Math.max(Math.min(o.x0,c),u),o.x1=Math.max(Math.min(o.x1,c),u),a}var f=o.cd[o.index],h=o.trace,d=o.subplot;o.a=f.a,o.b=f.b,o.c=f.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var v={};v[h.subplot]={_subplot:d};var x=h._module.formatLabels(f,h,v);o.aLabel=x.aLabel,o.bLabel=x.bLabel,o.cLabel=x.cLabel;var b=f.hi||h.hoverinfo,g=[];function E(A,L){g.push(A._hovertitle+\": \"+L)}if(!h.hovertemplate){var k=b.split(\"+\");k.indexOf(\"all\")!==-1&&(k=[\"a\",\"b\",\"c\"]),k.indexOf(\"a\")!==-1&&E(d.aaxis,o.aLabel),k.indexOf(\"b\")!==-1&&E(d.baxis,o.bLabel),k.indexOf(\"c\")!==-1&&E(d.caxis,o.cLabel)}return o.extraText=g.join(\"<br>\"),o.hovertemplate=h.hovertemplate,a}});var Xbe=ye((slr,Zbe)=>{\"use strict\";Zbe.exports=function(t,r,n,i,a){if(r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),i[a]){var o=i[a];t.a=o.a,t.b=o.b,t.c=o.c}else t.a=r.a,t.b=r.b,t.c=r.c;return t}});var a2e=ye((llr,n2e)=>{\"use strict\";var e2e=xa(),Hxt=id(),TH=ba(),By=Mr(),Dm=By.strTranslate,M8=By._,qT=va(),E8=ao(),L4=ym(),AH=no().extendFlat,Gxt=Xu(),E_=Qa(),Ybe=gv(),Kbe=Nc(),t2e=Sg(),Jbe=t2e.freeMode,jxt=t2e.rectMode,SH=Mb(),Wxt=wf().prepSelect,Zxt=wf().selectOnClick,Xxt=wf().clearOutline,Yxt=wf().clearSelectionsCache,r2e=ad();function i2e(e,t){this.id=e.id,this.graphDiv=e.graphDiv,this.init(t),this.makeFramework(t),this.updateFx(t),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}n2e.exports=i2e;var zm=i2e.prototype;zm.init=function(e){this.container=e._ternarylayer,this.defs=e._defs,this.layoutId=e._uid,this.traceHash={},this.layers={}};zm.plot=function(e,t){var r=this,n=t[r.id],i=t._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){r._hasClipOnAxisFalse=!0;break}}r.updateLayers(n),r.adjustLayout(n,i),Gxt.generalUpdatePerTraceModule(r.graphDiv,r,e,n),r.layers.plotbg.select(\"path\").call(qT.fill,n.bgcolor)};zm.makeFramework=function(e){var t=this,r=t.graphDiv,n=e[t.id],i=t.clipId=\"clip\"+t.layoutId+t.id,a=t.clipIdRelative=\"clip-relative\"+t.layoutId+t.id;t.clipDef=By.ensureSingleById(e._clips,\"clipPath\",i,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.clipDefRelative=By.ensureSingleById(e._clips,\"clipPath\",a,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.plotContainer=By.ensureSingle(t.container,\"g\",t.id),t.updateLayers(n),E8.setClipUrl(t.layers.backplot,i,r),E8.setClipUrl(t.layers.grids,i,r)};zm.updateFx=function(e){e._ternarylayer.selectAll(\"g.toplevel\").style(\"cursor\",e.dragmode===\"pan\"?\"move\":\"crosshair\")};zm.updateLayers=function(e){var t=this,r=t.layers,n=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];e.aaxis.layer===\"below traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"below traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"below traces\"&&n.push(\"caxis\",\"cline\"),n.push(\"frontplot\"),e.aaxis.layer===\"above traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"above traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"above traces\"&&n.push(\"caxis\",\"cline\");var i=t.plotContainer.selectAll(\"g.toplevel\").data(n,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",function(o){return\"toplevel \"+o}).each(function(o){var s=e2e.select(this);r[o]=s,o===\"frontplot\"?s.append(\"g\").classed(\"scatterlayer\",!0):o===\"backplot\"?s.append(\"g\").classed(\"maplayer\",!0):o===\"plotbg\"?s.append(\"path\").attr(\"d\",\"M0,0Z\"):o===\"aline\"||o===\"bline\"||o===\"cline\"?s.append(\"path\"):o===\"grids\"&&a.forEach(function(l){r[l]=s.append(\"g\").classed(\"grid \"+l,!0)})}),i.order()};var FT=Math.sqrt(4/3);zm.adjustLayout=function(e,t){var r=this,n=e.domain,i=(n.x[0]+n.x[1])/2,a=(n.y[0]+n.y[1])/2,o=n.x[1]-n.x[0],s=n.y[1]-n.y[0],l=o*t.w,u=s*t.h,c=e.sum,f=e.aaxis.min,h=e.baxis.min,d=e.caxis.min,v,x,b,g,E,k;l>FT*u?(g=u,b=g*FT):(b=l,g=b/FT),E=o*b/l,k=s*g/u,v=t.l+t.w*i-b/2,x=t.t+t.h*(1-a)-g/2,r.x0=v,r.y0=x,r.w=b,r.h=g,r.sum=c,r.xaxis={type:\"linear\",range:[f+2*d-c,c-f-2*h],domain:[i-E/2,i+E/2],_id:\"x\"},L4(r.xaxis,r.graphDiv._fullLayout),r.xaxis.setScale(),r.xaxis.isPtWithinRange=function(V){return V.a>=r.aaxis.range[0]&&V.a<=r.aaxis.range[1]&&V.b>=r.baxis.range[1]&&V.b<=r.baxis.range[0]&&V.c>=r.caxis.range[1]&&V.c<=r.caxis.range[0]},r.yaxis={type:\"linear\",range:[f,c-h-d],domain:[a-k/2,a+k/2],_id:\"y\"},L4(r.yaxis,r.graphDiv._fullLayout),r.yaxis.setScale(),r.yaxis.isPtWithinRange=function(){return!0};var A=r.yaxis.domain[0],L=r.aaxis=AH({},e.aaxis,{range:[f,c-h-d],side:\"left\",tickangle:(+e.aaxis.tickangle||0)-30,domain:[A,A+k*FT],anchor:\"free\",position:0,_id:\"y\",_length:b});L4(L,r.graphDiv._fullLayout),L.setScale();var _=r.baxis=AH({},e.baxis,{range:[c-f-d,h],side:\"bottom\",domain:r.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:b});L4(_,r.graphDiv._fullLayout),_.setScale();var C=r.caxis=AH({},e.caxis,{range:[c-f-h,d],side:\"right\",tickangle:(+e.caxis.tickangle||0)+30,domain:[A,A+k*FT],anchor:\"free\",position:0,_id:\"y\",_length:b});L4(C,r.graphDiv._fullLayout),C.setScale();var M=\"M\"+v+\",\"+(x+g)+\"h\"+b+\"l-\"+b/2+\",-\"+g+\"Z\";r.clipDef.select(\"path\").attr(\"d\",M),r.layers.plotbg.select(\"path\").attr(\"d\",M);var p=\"M0,\"+g+\"h\"+b+\"l-\"+b/2+\",-\"+g+\"Z\";r.clipDefRelative.select(\"path\").attr(\"d\",p);var P=Dm(v,x);r.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),r.clipDefRelative.select(\"path\").attr(\"transform\",null);var T=Dm(v-_._offset,x+g);r.layers.baxis.attr(\"transform\",T),r.layers.bgrid.attr(\"transform\",T);var F=Dm(v+b/2,x)+\"rotate(30)\"+Dm(0,-L._offset);r.layers.aaxis.attr(\"transform\",F),r.layers.agrid.attr(\"transform\",F);var q=Dm(v+b/2,x)+\"rotate(-30)\"+Dm(0,-C._offset);r.layers.caxis.attr(\"transform\",q),r.layers.cgrid.attr(\"transform\",q),r.drawAxes(!0),r.layers.aline.select(\"path\").attr(\"d\",L.showline?\"M\"+v+\",\"+(x+g)+\"l\"+b/2+\",-\"+g:\"M0,0\").call(qT.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),r.layers.bline.select(\"path\").attr(\"d\",_.showline?\"M\"+v+\",\"+(x+g)+\"h\"+b:\"M0,0\").call(qT.stroke,_.linecolor||\"#000\").style(\"stroke-width\",(_.linewidth||0)+\"px\"),r.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(v+b/2)+\",\"+x+\"l\"+b/2+\",\"+g:\"M0,0\").call(qT.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),r.graphDiv._context.staticPlot||r.initInteractions(),E8.setClipUrl(r.layers.frontplot,r._hasClipOnAxisFalse?null:r.clipId,r.graphDiv)};zm.drawAxes=function(e){var t=this,r=t.graphDiv,n=t.id.substr(7)+\"title\",i=t.layers,a=t.aaxis,o=t.baxis,s=t.caxis;if(t.drawAx(a),t.drawAx(o),t.drawAx(s),e){var 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k_=ye((clr,s2e)=>{\"use strict\";var nbt=Mr(),abt=Vs(),obt=Ju().defaults;s2e.exports=function(t,r,n,i){var a=i.type,o=i.attributes,s=i.handleDefaults,l=i.partition||\"x\",u=r._subplots[a],c=u.length,f=c&&u[0].replace(/\\d+$/,\"\"),h,d;function v(E,k){return nbt.coerce(h,d,o,E,k)}for(var x=0;x<c;x++){var b=u[x];t[b]?h=t[b]:h=t[b]={},d=abt.newContainer(r,b,f),i.noUirevision||v(\"uirevision\",r.uirevision);var g={};g[l]=[x/c,(x+1)/c],obt(d,r,v,g),i.id=b,s(h,d,v,i)}}});var f2e=ye((flr,c2e)=>{\"use strict\";var sbt=va(),lbt=Vs(),C8=Mr(),ubt=k_(),cbt=e_(),fbt=t_(),hbt=T3(),dbt=xb(),vbt=YM(),u2e=kH(),l2e=[\"aaxis\",\"baxis\",\"caxis\"];c2e.exports=function(t,r,n){ubt(t,r,n,{type:\"ternary\",attributes:u2e,handleDefaults:pbt,font:r.font,paper_bgcolor:r.paper_bgcolor})};function pbt(e,t,r,n){var i=r(\"bgcolor\"),a=r(\"sum\");n.bgColor=sbt.combine(i,n.paper_bgcolor);for(var o,s,l,u=0;u<l2e.length;u++)o=l2e[u],s=e[o]||{},l=lbt.newContainer(t,o),l._name=o,gbt(s,l,n,t);var c=t.aaxis,f=t.baxis,h=t.caxis;c.min+f.min+h.min>=a&&(c.min=0,f.min=0,h.min=0,e.aaxis&&delete e.aaxis.min,e.baxis&&delete e.baxis.min,e.caxis&&delete e.caxis.min)}function gbt(e,t,r,n){var i=u2e[t._name];function a(d,v){return C8.coerce(e,t,i,d,v)}a(\"uirevision\",n.uirevision),t.type=\"linear\";var o=a(\"color\"),s=o!==i.color.dflt?o:r.font.color,l=t._name,u=l.charAt(0).toUpperCase(),c=\"Component \"+u,f=a(\"title.text\",c);t._hovertitle=f===c?f:u,C8.coerceFont(a,\"title.font\",r.font,{overrideDflt:{size:C8.bigFont(r.font.size),color:s}}),a(\"min\"),dbt(e,t,a,\"linear\"),fbt(e,t,a,\"linear\"),cbt(e,t,a,\"linear\",{noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0}),hbt(e,t,a,{outerTicks:!0});var h=a(\"showticklabels\");h&&(C8.coerceFont(a,\"tickfont\",r.font,{overrideDflt:{color:s}}),a(\"tickangle\"),a(\"tickformat\")),vbt(e,t,a,{dfltColor:o,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),a(\"hoverformat\"),a(\"layer\")}});var h2e=ye(W0=>{\"use strict\";var mbt=a2e(),ybt=kd().getSubplotCalcData,_bt=Mr().counterRegex,OT=\"ternary\";W0.name=OT;var xbt=W0.attr=\"subplot\";W0.idRoot=OT;W0.idRegex=W0.attrRegex=_bt(OT);var bbt=W0.attributes={};bbt[xbt]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"};W0.layoutAttributes=kH();W0.supplyLayoutDefaults=f2e();W0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[OT],a=0;a<i.length;a++){var o=i[a],s=ybt(n,OT,o),l=r[o]._subplot;l||(l=new mbt({id:o,graphDiv:t,container:r._ternarylayer.node()},r),r[o]._subplot=l),l.plot(s,r,t._promises)}};W0.clean=function(e,t,r,n){for(var i=n._subplots[OT]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!t[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers[\"a-title\"].remove(),s.layers[\"b-title\"].remove(),s.layers[\"c-title\"].remove())}};W0.updateFx=function(e){var 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jh=v4(),BT=no().extendFlat,m2e=Oc().axisHoverFormat;y2e.exports={y:jh.y,x:jh.x,x0:jh.x0,y0:jh.y0,xhoverformat:m2e(\"x\"),yhoverformat:m2e(\"y\"),name:BT({},jh.name,{}),orientation:BT({},jh.orientation,{}),bandwidth:{valType:\"number\",min:0,editType:\"calc\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},scalemode:{valType:\"enumerated\",values:[\"width\",\"count\"],dflt:\"width\",editType:\"calc\"},spanmode:{valType:\"enumerated\",values:[\"soft\",\"hard\",\"manual\"],dflt:\"soft\",editType:\"calc\"},span:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:jh.fillcolor,points:BT({},jh.boxpoints,{}),jitter:BT({},jh.jitter,{}),pointpos:BT({},jh.pointpos,{}),width:BT({},jh.width,{}),marker:jh.marker,text:jh.text,hovertext:jh.hovertext,hovertemplate:jh.hovertemplate,quartilemethod:jh.quartilemethod,box:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},width:{valType:\"number\",min:0,max:1,dflt:.25,editType:\"plot\"},fillcolor:{valType:\"color\",editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},editType:\"plot\"},meanline:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"plot\"},side:{valType:\"enumerated\",values:[\"both\",\"positive\",\"negative\"],dflt:\"both\",editType:\"calc\"},offsetgroup:jh.offsetgroup,alignmentgroup:jh.alignmentgroup,selected:jh.selected,unselected:jh.unselected,hoveron:{valType:\"flaglist\",flags:[\"violins\",\"points\",\"kde\"],dflt:\"violins+points+kde\",extras:[\"all\"],editType:\"style\"},zorder:jh.zorder}});var IH=ye((glr,_2e)=>{\"use strict\";var LH=p4(),PH=Mr().extendFlat;_2e.exports={violinmode:PH({},LH.boxmode,{}),violingap:PH({},LH.boxgap,{}),violingroupgap:PH({},LH.boxgroupgap,{})}});var A2e=ye((mlr,T2e)=>{\"use strict\";var x2e=Mr(),wbt=va(),b2e=m4(),w2e=CH();T2e.exports=function(t,r,n,i){function a(L,_){return x2e.coerce(t,r,w2e,L,_)}function o(L,_){return x2e.coerce2(t,r,w2e,L,_)}if(b2e.handleSampleDefaults(t,r,a,i),r.visible!==!1){a(\"bandwidth\"),a(\"side\");var s=a(\"width\");s||(a(\"scalegroup\",r.name),a(\"scalemode\"));var l=a(\"span\"),u;Array.isArray(l)&&(u=\"manual\"),a(\"spanmode\",u);var c=a(\"line.color\",(t.marker||{}).color||n),f=a(\"line.width\"),h=a(\"fillcolor\",wbt.addOpacity(r.line.color,.5));b2e.handlePointsDefaults(t,r,a,{prefix:\"\"});var d=o(\"box.width\"),v=o(\"box.fillcolor\",h),x=o(\"box.line.color\",c),b=o(\"box.line.width\",f),g=a(\"box.visible\",!!(d||v||x||b));g||(r.box={visible:!1});var E=o(\"meanline.color\",c),k=o(\"meanline.width\",f),A=a(\"meanline.visible\",!!(E||k));A||(r.meanline={visible:!1}),a(\"quartilemethod\"),a(\"zorder\")}}});var M2e=ye((ylr,S2e)=>{\"use strict\";var Tbt=Mr(),Abt=IH(),Sbt=UI();S2e.exports=function(t,r,n){function i(a,o){return Tbt.coerce(t,r,Abt,a,o)}Sbt._supply(t,r,n,i,\"violin\")}});var L8=ye(o2=>{\"use strict\";var Mbt=Mr(),Ebt={gaussian:function(e){return 1/Math.sqrt(2*Math.PI)*Math.exp(-.5*e*e)}};o2.makeKDE=function(e,t,r){var n=r.length,i=Ebt.gaussian,a=e.bandwidth,o=1/(n*a);return function(s){for(var l=0,u=0;u<n;u++)l+=i((s-r[u])/a);return o*l}};o2.getPositionOnKdePath=function(e,t,r){var n,i;t.orientation===\"h\"?(n=\"y\",i=\"x\"):(n=\"x\",i=\"y\");var a=Mbt.findPointOnPath(e.path,r,i,{pathLength:e.pathLength}),o=e.posCenterPx,s=a[n],l=t.side===\"both\"?2*o-s:o;return[s,l]};o2.getKdeValue=function(e,t,r){var n=e.pts.map(o2.extractVal),i=o2.makeKDE(e,t,n);return i(r)/e.posDensityScale};o2.extractVal=function(e){return e.v}});var C2e=ye((xlr,k2e)=>{\"use strict\";var RH=Mr(),DH=Qa(),kbt=MV(),E2e=L8(),Cbt=es().BADNUM;k2e.exports=function(t,r){var n=kbt(t,r);if(n[0].t.empty)return n;for(var i=t._fullLayout,a=DH.getFromId(t,r[r.orientation===\"h\"?\"xaxis\":\"yaxis\"]),o=1/0,s=-1/0,l=0,u=0,c=0;c<n.length;c++){var f=n[c],h=f.pts.map(E2e.extractVal),d=f.bandwidth=Pbt(r,f,h),v=f.span=Ibt(r,f,a,d);if(f.min===f.max&&d===0)v=f.span=[f.min,f.max],f.density=[{v:1,t:v[0]}],f.bandwidth=d,l=Math.max(l,1);else{var x=v[1]-v[0],b=Math.ceil(x/(d/3)),g=x/b;if(!isFinite(g)||!isFinite(b))return RH.error(\"Something went wrong with computing the violin span\"),n[0].t.empty=!0,n;var E=E2e.makeKDE(f,r,h);f.density=new Array(b);for(var k=0,A=v[0];A<v[1]+g/2;k++,A+=g){var L=E(A);f.density[k]={v:L,t:A},l=Math.max(l,L)}}u=Math.max(u,h.length),o=Math.min(o,v[0]),s=Math.max(s,v[1])}var _=DH.findExtremes(a,[o,s],{padded:!0});if(r._extremes[a._id]=_,r.width)n[0].t.maxKDE=l;else{var C=i._violinScaleGroupStats,M=r.scalegroup,p=C[M];p?(p.maxKDE=Math.max(p.maxKDE,l),p.maxCount=Math.max(p.maxCount,u)):C[M]={maxKDE:l,maxCount:u}}return n[0].t.labels.kde=RH._(t,\"kde:\"),n};function Lbt(e,t,r){var n=Math.min(t,r/1.349);return 1.059*n*Math.pow(e,-.2)}function Pbt(e,t,r){var n=t.max-t.min;if(!n)return e.bandwidth?e.bandwidth:0;if(e.bandwidth)return Math.max(e.bandwidth,n/1e4);var i=r.length,a=RH.stdev(r,i-1,t.mean);return Math.max(Lbt(i,a,t.q3-t.q1),n/100)}function Ibt(e,t,r,n){var i=e.spanmode,a=e.span||[],o=[t.min,t.max],s=[t.min-2*n,t.max+2*n],l;function u(f){var h=a[f],d=r.type===\"multicategory\"?r.r2c(h):r.d2c(h,0,e[t.valLetter+\"calendar\"]);return d===Cbt?s[f]:d}i===\"soft\"?l=s:i===\"hard\"?l=o:l=[u(0),u(1)];var c={type:\"linear\",range:l};return DH.setConvert(c),c.cleanRange(),l}});var I2e=ye((blr,P2e)=>{\"use strict\";var Rbt=HI().setPositionOffset,L2e=[\"v\",\"h\"];P2e.exports=function(t,r){for(var n=t.calcdata,i=r.xaxis,a=r.yaxis,o=0;o<L2e.length;o++){for(var s=L2e[o],l=s===\"h\"?a:i,u=[],c=0;c<n.length;c++){var f=n[c],h=f[0].t,d=f[0].trace;d.visible===!0&&d.type===\"violin\"&&!h.empty&&d.orientation===s&&d.xaxis===i._id&&d.yaxis===a._id&&u.push(c)}Rbt(\"violin\",t,u,l)}}});var D2e=ye((wlr,R2e)=>{\"use strict\";var zH=xa(),FH=Mr(),Dbt=ao(),qH=GI(),zbt=fU(),Fbt=L8();R2e.exports=function(t,r,n,i){var a=t._context.staticPlot,o=t._fullLayout,s=r.xaxis,l=r.yaxis;function u(c,f){var h=zbt(c,{xaxis:s,yaxis:l,trace:f,connectGaps:!0,baseTolerance:.75,shape:\"spline\",simplify:!0,linearized:!0});return Dbt.smoothopen(h[0],1)}FH.makeTraceGroups(i,n,\"trace violins\").each(function(c){var f=zH.select(this),h=c[0],d=h.t,v=h.trace;if(v.visible!==!0||d.empty){f.remove();return}var x=d.bPos,b=d.bdPos,g=r[d.valLetter+\"axis\"],E=r[d.posLetter+\"axis\"],k=v.side===\"both\",A=k||v.side===\"positive\",L=k||v.side===\"negative\",_=f.selectAll(\"path.violin\").data(FH.identity);_.enter().append(\"path\").style(\"vector-effect\",a?\"none\":\"non-scaling-stroke\").attr(\"class\",\"violin\"),_.exit().remove(),_.each(function(V){var H=zH.select(this),X=V.density,G=X.length,N=E.c2l(V.pos+x,!0),W=E.l2p(N),re;if(v.width)re=d.maxKDE/b;else{var ae=o._violinScaleGroupStats[v.scalegroup];re=v.scalemode===\"count\"?ae.maxKDE/b*(ae.maxCount/V.pts.length):ae.maxKDE/b}var _e,Me,ke,ge,ie,Te,Ee;if(A){for(Te=new Array(G),ge=0;ge<G;ge++)Ee=Te[ge]={},Ee[d.posLetter]=N+X[ge].v/re,Ee[d.valLetter]=g.c2l(X[ge].t,!0);_e=u(Te,v)}if(L){for(Te=new Array(G),ie=0,ge=G-1;ie<G;ie++,ge--)Ee=Te[ie]={},Ee[d.posLetter]=N-X[ge].v/re,Ee[d.valLetter]=g.c2l(X[ge].t,!0);Me=u(Te,v)}if(k)ke=_e+\"L\"+Me.substr(1)+\"Z\";else{var Ae=[W,g.c2p(X[0].t)],ze=[W,g.c2p(X[G-1].t)];v.orientation===\"h\"&&(Ae.reverse(),ze.reverse()),A?ke=\"M\"+Ae+\"L\"+_e.substr(1)+\"L\"+ze:ke=\"M\"+ze+\"L\"+Me.substr(1)+\"L\"+Ae}H.attr(\"d\",ke),V.posCenterPx=W,V.posDensityScale=re*b,V.path=H.node(),V.pathLength=V.path.getTotalLength()/(k?2:1)});var C=v.box,M=C.width,p=(C.line||{}).width,P,T;k?(P=b*M,T=0):A?(P=[0,b*M/2],T=p*{x:1,y:-1}[d.posLetter]):(P=[b*M/2,0],T=p*{x:-1,y:1}[d.posLetter]),qH.plotBoxAndWhiskers(f,{pos:E,val:g},v,{bPos:x,bdPos:P,bPosPxOffset:T}),qH.plotBoxMean(f,{pos:E,val:g},v,{bPos:x,bdPos:P,bPosPxOffset:T});var F;!v.box.visible&&v.meanline.visible&&(F=FH.identity);var q=f.selectAll(\"path.meanline\").data(F||[]);q.enter().append(\"path\").attr(\"class\",\"meanline\").style(\"fill\",\"none\").style(\"vector-effect\",a?\"none\":\"non-scaling-stroke\"),q.exit().remove(),q.each(function(V){var H=g.c2p(V.mean,!0),X=Fbt.getPositionOnKdePath(V,v,H);zH.select(this).attr(\"d\",v.orientation===\"h\"?\"M\"+H+\",\"+X[0]+\"V\"+X[1]:\"M\"+X[0]+\",\"+H+\"H\"+X[1])}),qH.plotPoints(f,{x:s,y:l},v,d)})}});var q2e=ye((Tlr,F2e)=>{\"use strict\";var z2e=xa(),NT=va(),qbt=op().stylePoints;F2e.exports=function(t){var r=z2e.select(t).selectAll(\"g.trace.violins\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=n[0].trace,a=z2e.select(this),o=i.box||{},s=o.line||{},l=i.meanline||{},u=l.width;a.selectAll(\"path.violin\").style(\"stroke-width\",i.line.width+\"px\").call(NT.stroke,i.line.color).call(NT.fill,i.fillcolor),a.selectAll(\"path.box\").style(\"stroke-width\",s.width+\"px\").call(NT.stroke,s.color).call(NT.fill,o.fillcolor);var c={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};a.selectAll(\"path.mean\").style(c).call(NT.stroke,l.color),a.selectAll(\"path.meanline\").style(c).call(NT.stroke,l.color),qbt(a,i,t)})}});var U2e=ye((Alr,N2e)=>{\"use strict\";var Obt=va(),OH=Mr(),Bbt=Qa(),O2e=PV(),B2e=L8();N2e.exports=function(t,r,n,i,a){a||(a={});var o=a.hoverLayer,s=t.cd,l=s[0].trace,u=l.hoveron,c=u.indexOf(\"violins\")!==-1,f=u.indexOf(\"kde\")!==-1,h=[],d,v;if(c||f){var x=O2e.hoverOnBoxes(t,r,n,i);if(f&&x.length>0){var b=t.xa,g=t.ya,E,k,A,L,_;l.orientation===\"h\"?(_=r,E=\"y\",A=g,k=\"x\",L=b):(_=n,E=\"x\",A=b,k=\"y\",L=g);var C=s[t.index];if(_>=C.span[0]&&_<=C.span[1]){var M=OH.extendFlat({},t),p=L.c2p(_,!0),P=B2e.getKdeValue(C,l,_),T=B2e.getPositionOnKdePath(C,l,p),F=A._offset,q=A._length;M[E+\"0\"]=T[0],M[E+\"1\"]=T[1],M[k+\"0\"]=M[k+\"1\"]=p,M[k+\"Label\"]=k+\": \"+Bbt.hoverLabelText(L,_,l[k+\"hoverformat\"])+\", \"+s[0].t.labels.kde+\" \"+P.toFixed(3);for(var V=0,H=0;H<x.length;H++)if(x[H].attr===\"med\"){V=H;break}M.spikeDistance=x[V].spikeDistance;var X=E+\"Spike\";M[X]=x[V][X],x[V].spikeDistance=void 0,x[V][X]=void 0,M.hovertemplate=!1,h.push(M),v={},v[E+\"1\"]=OH.constrain(F+T[0],F,F+q),v[E+\"2\"]=OH.constrain(F+T[1],F,F+q),v[k+\"1\"]=v[k+\"2\"]=L._offset+p}}c&&(h=h.concat(x))}u.indexOf(\"points\")!==-1&&(d=O2e.hoverOnPoints(t,r,n));var G=o.selectAll(\".violinline-\"+l.uid).data(v?[0]:[]);return G.enter().append(\"line\").classed(\"violinline-\"+l.uid,!0).attr(\"stroke-width\",1.5),G.exit().remove(),G.attr(v).call(Obt.stroke,t.color),i===\"closest\"?d?[d]:h:(d&&h.push(d),h)}});var H2e=ye((Slr,V2e)=>{\"use strict\";V2e.exports={attributes:CH(),layoutAttributes:IH(),supplyDefaults:A2e(),crossTraceDefaults:m4().crossTraceDefaults,supplyLayoutDefaults:M2e(),calc:C2e(),crossTraceCalc:I2e(),plot:D2e(),style:q2e(),styleOnSelect:op().styleOnSelect,hoverPoints:U2e(),selectPoints:IV(),moduleType:\"trace\",name:\"violin\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"violinLayout\",\"zoomScale\"],meta:{}}});var j2e=ye((Mlr,G2e)=>{\"use strict\";G2e.exports=H2e()});var Z2e=ye((Elr,W2e)=>{\"use strict\";W2e.exports={eventDataKeys:[\"percentInitial\",\"percentPrevious\",\"percentTotal\"]}});var NH=ye((klr,K2e)=>{\"use strict\";var lc=Lm(),BH=Uc().line,Nbt=vl(),X2e=Oc().axisHoverFormat,Ubt=Wo().hovertemplateAttrs,Vbt=Wo().texttemplateAttrs,Y2e=Z2e(),Ny=no().extendFlat,Hbt=va();K2e.exports={x:lc.x,x0:lc.x0,dx:lc.dx,y:lc.y,y0:lc.y0,dy:lc.dy,xperiod:lc.xperiod,yperiod:lc.yperiod,xperiod0:lc.xperiod0,yperiod0:lc.yperiod0,xperiodalignment:lc.xperiodalignment,yperiodalignment:lc.yperiodalignment,xhoverformat:X2e(\"x\"),yhoverformat:X2e(\"y\"),hovertext:lc.hovertext,hovertemplate:Ubt({},{keys:Y2e.eventDataKeys}),hoverinfo:Ny({},Nbt.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent total\",\"value\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:Vbt({editType:\"plot\"},{keys:Y2e.eventDataKeys.concat([\"label\",\"value\"])}),text:lc.text,textposition:lc.textposition,insidetextanchor:Ny({},lc.insidetextanchor,{dflt:\"middle\"}),textangle:Ny({},lc.textangle,{dflt:0}),textfont:lc.textfont,insidetextfont:lc.insidetextfont,outsidetextfont:lc.outsidetextfont,constraintext:lc.constraintext,cliponaxis:lc.cliponaxis,orientation:Ny({},lc.orientation,{}),offset:Ny({},lc.offset,{arrayOk:!1}),width:Ny({},lc.width,{arrayOk:!1}),marker:Gbt(),connector:{fillcolor:{valType:\"color\",editType:\"style\"},line:{color:Ny({},BH.color,{dflt:Hbt.defaultLine}),width:Ny({},BH.width,{dflt:0,editType:\"plot\"}),dash:BH.dash,editType:\"style\"},visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},offsetgroup:lc.offsetgroup,alignmentgroup:lc.alignmentgroup,zorder:lc.zorder};function Gbt(){var e=Ny({},lc.marker);return delete e.pattern,delete e.cornerradius,e}});var UH=ye((Clr,J2e)=>{\"use strict\";J2e.exports={funnelmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},funnelgap:{valType:\"number\",min:0,max:1,editType:\"calc\"},funnelgroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"}}});var HH=ye((Llr,Q2e)=>{\"use strict\";var P8=Mr(),jbt=Hb(),Wbt=r0().handleText,Zbt=K3(),Xbt=Pg(),$2e=NH(),VH=va();function Ybt(e,t,r,n){function i(f,h){return P8.coerce(e,t,$2e,f,h)}var a=Zbt(e,t,n,i);if(!a){t.visible=!1;return}Xbt(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"orientation\",t.y&&!t.x?\"v\":\"h\"),i(\"offset\"),i(\"width\");var o=i(\"text\");i(\"hovertext\"),i(\"hovertemplate\");var s=i(\"textposition\");Wbt(e,t,n,i,s,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&!t.texttemplate&&i(\"textinfo\",P8.isArrayOrTypedArray(o)?\"text+value\":\"value\");var l=i(\"marker.color\",r);i(\"marker.line.color\",VH.defaultLine),i(\"marker.line.width\");var u=i(\"connector.visible\");if(u){i(\"connector.fillcolor\",Kbt(l));var c=i(\"connector.line.width\");c&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function Kbt(e){var t=P8.isArrayOrTypedArray(e)?\"#000\":e;return VH.addOpacity(t,.5*VH.opacity(t))}function Jbt(e,t){var r,n;function i(o){return P8.coerce(n._input,n,$2e,o)}for(var a=0;a<e.length;a++)n=e[a],n.type===\"funnel\"&&(r=n._input,jbt(r,n,t,i,t.funnelmode))}Q2e.exports={supplyDefaults:Ybt,crossTraceDefaults:Jbt}});var twe=ye((Plr,ewe)=>{\"use strict\";var $bt=Mr(),Qbt=UH();ewe.exports=function(e,t,r){var n=!1;function i(s,l){return $bt.coerce(e,t,Qbt,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"funnel\"){n=!0;break}}n&&(i(\"funnelmode\"),i(\"funnelgap\",.2),i(\"funnelgroupgap\"))}});var iwe=ye((Ilr,rwe)=>{\"use strict\";var UT=Mr();rwe.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;UT.mergeArray(r.text,t,\"tx\"),UT.mergeArray(r.hovertext,t,\"htx\");var i=r.marker;if(i){UT.mergeArray(i.opacity,t,\"mo\"),UT.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(UT.mergeArray(a.color,t,\"mlc\"),UT.mergeArrayCastPositive(a.width,t,\"mlw\"))}}});var swe=ye((Rlr,owe)=>{\"use strict\";var nwe=Qa(),awe=Rg(),e2t=iwe(),t2t=F0(),P4=es().BADNUM;owe.exports=function(t,r){var n=nwe.getFromId(t,r.xaxis||\"x\"),i=nwe.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f,h;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=awe(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=awe(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;var d=Math.min(o.length,a.length),v=new Array(d);for(r._base=[],f=0;f<d;f++){a[f]<0&&(a[f]=P4);var x=!1;a[f]!==P4&&f+1<d&&a[f+1]!==P4&&(x=!0),h=v[f]={p:o[f],s:a[f],cNext:x},r._base[f]=-.5*h.s,u&&(v[f].orig_p=s[f],v[f][c+\"End\"]=l.ends[f],v[f][c+\"Start\"]=l.starts[f]),r.ids&&(h.id=String(r.ids[f])),f===0&&(v[0].vTotal=0),v[0].vTotal+=GH(h.s),h.begR=GH(h.s)/GH(v[0].s)}var b;for(f=0;f<d;f++)h=v[f],h.s!==P4&&(h.sumR=h.s/v[0].vTotal,h.difR=b!==void 0?h.s/b:1,b=h.s);return e2t(v,r),t2t(v,r),v};function GH(e){return e===P4?0:e}});var cwe=ye((Dlr,uwe)=>{\"use strict\";var lwe=Gb().setGroupPositions;uwe.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h],v=d.orientation===\"h\";d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"funnel\"&&(f=a[h],v?c.push(f):u.push(f),l.push(f))}var x={mode:n.funnelmode,norm:n.funnelnorm,gap:n.funnelgap,groupgap:n.funnelgroupgap};for(lwe(t,o,s,u,x),lwe(t,s,o,c,x),h=0;h<l.length;h++){f=l[h];for(var b=0;b<f.length;b++)b+1<f.length&&(f[b].nextP0=f[b+1].p0,f[b].nextS0=f[b+1].s0,f[b].nextP1=f[b+1].p1,f[b].nextS1=f[b+1].s1)}}});var vwe=ye((zlr,dwe)=>{\"use strict\";var I8=xa(),L_=Mr(),fwe=ao(),C_=es().BADNUM,r2t=i2(),i2t=_v().clearMinTextSize;dwe.exports=function(t,r,n,i){var a=t._fullLayout;i2t(\"funnel\",a),n2t(t,r,n,i),a2t(t,r,n,i),r2t.plot(t,r,n,i,{mode:a.funnelmode,norm:a.funnelmode,gap:a.funnelgap,groupgap:a.funnelgroupgap})};function n2t(e,t,r,n){var i=t.xaxis,a=t.yaxis;L_.makeTraceGroups(n,r,\"trace bars\").each(function(o){var 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mwe=ye((Flr,gwe)=>{\"use strict\";var I4=xa(),pwe=ao(),jH=va(),o2t=N1().DESELECTDIM,s2t=N0(),l2t=_v().resizeText,u2t=s2t.styleTextPoints;function c2t(e,t,r){var n=r||I4.select(e).selectAll('g[class^=\"funnellayer\"]').selectAll(\"g.trace\");l2t(e,n,\"funnel\"),n.style(\"opacity\",function(i){return i[0].trace.opacity}),n.each(function(i){var a=I4.select(this),o=i[0].trace;a.selectAll(\".point > path\").each(function(s){if(!s.isBlank){var l=o.marker;I4.select(this).call(jH.fill,s.mc||l.color).call(jH.stroke,s.mlc||l.line.color).call(pwe.dashLine,l.line.dash,s.mlw||l.line.width).style(\"opacity\",o.selectedpoints&&!s.selected?o2t:1)}}),u2t(a,o,e),a.selectAll(\".regions\").each(function(){I4.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(jH.fill,o.connector.fillcolor)}),a.selectAll(\".lines\").each(function(){var s=o.connector.line;pwe.lineGroupStyle(I4.select(this).selectAll(\"path\"),s.width,s.color,s.dash)})})}gwe.exports={style:c2t}});var xwe=ye((qlr,_we)=>{\"use 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Uu=Lm(),ZH=Uc().line,d2t=vl(),Cwe=Oc().axisHoverFormat,v2t=Wo().hovertemplateAttrs,p2t=Wo().texttemplateAttrs,Lwe=kwe(),VT=no().extendFlat,g2t=va();function XH(e){return{marker:{color:VT({},Uu.marker.color,{arrayOk:!1,editType:\"style\"}),line:{color:VT({},Uu.marker.line.color,{arrayOk:!1,editType:\"style\"}),width:VT({},Uu.marker.line.width,{arrayOk:!1,editType:\"style\"}),editType:\"style\"},editType:\"style\"},editType:\"style\"}}Pwe.exports={measure:{valType:\"data_array\",dflt:[],editType:\"calc\"},base:{valType:\"number\",dflt:null,arrayOk:!1,editType:\"calc\"},x:Uu.x,x0:Uu.x0,dx:Uu.dx,y:Uu.y,y0:Uu.y0,dy:Uu.dy,xperiod:Uu.xperiod,yperiod:Uu.yperiod,xperiod0:Uu.xperiod0,yperiod0:Uu.yperiod0,xperiodalignment:Uu.xperiodalignment,yperiodalignment:Uu.yperiodalignment,xhoverformat:Cwe(\"x\"),yhoverformat:Cwe(\"y\"),hovertext:Uu.hovertext,hovertemplate:v2t({},{keys:Lwe.eventDataKeys}),hoverinfo:VT({},d2t.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"initial\",\"delta\",\"final\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"initial\",\"delta\",\"final\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:p2t({editType:\"plot\"},{keys:Lwe.eventDataKeys.concat([\"label\"])}),text:Uu.text,textposition:Uu.textposition,insidetextanchor:Uu.insidetextanchor,textangle:Uu.textangle,textfont:Uu.textfont,insidetextfont:Uu.insidetextfont,outsidetextfont:Uu.outsidetextfont,constraintext:Uu.constraintext,cliponaxis:Uu.cliponaxis,orientation:Uu.orientation,offset:Uu.offset,width:Uu.width,increasing:XH(\"increasing\"),decreasing:XH(\"decreasing\"),totals:XH(\"intermediate 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Dwe=Mr(),m2t=Hb(),y2t=r0().handleText,_2t=K3(),x2t=Pg(),zwe=YH(),b2t=va(),Fwe=HT(),w2t=Fwe.INCREASING.COLOR,T2t=Fwe.DECREASING.COLOR,A2t=\"#4499FF\";function JH(e,t,r){e(t+\".marker.color\",r),e(t+\".marker.line.color\",b2t.defaultLine),e(t+\".marker.line.width\")}function S2t(e,t,r,n){function i(u,c){return Dwe.coerce(e,t,zwe,u,c)}var a=_2t(e,t,n,i);if(!a){t.visible=!1;return}x2t(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"measure\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\");var o=i(\"textposition\");y2t(e,t,n,i,o,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&(i(\"texttemplate\"),t.texttemplate||i(\"textinfo\")),JH(i,\"increasing\",w2t),JH(i,\"decreasing\",T2t),JH(i,\"totals\",A2t);var s=i(\"connector.visible\");if(s){i(\"connector.mode\");var l=i(\"connector.line.width\");l&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function M2t(e,t){var r,n;function i(o){return Dwe.coerce(n._input,n,zwe,o)}if(t.waterfallmode===\"group\")for(var a=0;a<e.length;a++)n=e[a],r=n._input,m2t(r,n,t,i,t.waterfallmode)}qwe.exports={supplyDefaults:S2t,crossTraceDefaults:M2t}});var Bwe=ye((Wlr,Owe)=>{\"use strict\";var E2t=Mr(),k2t=KH();Owe.exports=function(e,t,r){var n=!1;function i(s,l){return E2t.coerce(e,t,k2t,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"waterfall\"){n=!0;break}}n&&(i(\"waterfallmode\"),i(\"waterfallgap\",.2),i(\"waterfallgroupgap\"))}});var jwe=ye((Zlr,Gwe)=>{\"use strict\";var Nwe=Qa(),Uwe=Rg(),Vwe=Mr().mergeArray,C2t=F0(),Hwe=es().BADNUM;function QH(e){return e===\"a\"||e===\"absolute\"}function eG(e){return e===\"t\"||e===\"total\"}Gwe.exports=function(t,r){var n=Nwe.getFromId(t,r.xaxis||\"x\"),i=Nwe.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=Uwe(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=Uwe(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var f=Math.min(o.length,a.length),h=new Array(f),d=0,v,x=!1,b=0;b<f;b++){var g=a[b]||0,E=!1;(a[b]!==Hwe||eG(r.measure[b])||QH(r.measure[b]))&&b+1<f&&(a[b+1]!==Hwe||eG(r.measure[b+1])||QH(r.measure[b+1]))&&(E=!0);var k=h[b]={i:b,p:o[b],s:g,rawS:g,cNext:E};QH(r.measure[b])?(d=k.s,k.isSum=!0,k.dir=\"totals\",k.s=d):eG(r.measure[b])?(k.isSum=!0,k.dir=\"totals\",k.s=d):(k.isSum=!1,k.dir=k.rawS<0?\"decreasing\":\"increasing\",v=k.s,k.s=d+v,d+=v),k.dir===\"totals\"&&(x=!0),u&&(h[b].orig_p=s[b],h[b][c+\"End\"]=l.ends[b],h[b][c+\"Start\"]=l.starts[b]),r.ids&&(k.id=String(r.ids[b])),k.v=(r.base||0)+d}return h.length&&(h[0].hasTotals=x),Vwe(r.text,h,\"tx\"),Vwe(r.hovertext,h,\"htx\"),C2t(h,r),h}});var Xwe=ye((Xlr,Zwe)=>{\"use strict\";var Wwe=Gb().setGroupPositions;Zwe.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h];d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"waterfall\"&&(f=a[h],d.orientation===\"h\"?c.push(f):u.push(f),l.push(f))}var v={mode:n.waterfallmode,norm:n.waterfallnorm,gap:n.waterfallgap,groupgap:n.waterfallgroupgap};for(Wwe(t,o,s,u,v),Wwe(t,s,o,c,v),h=0;h<l.length;h++){f=l[h];for(var x=0;x<f.length;x++){var b=f[x];b.isSum===!1&&(b.s0+=x===0?0:f[x-1].s),x+1<f.length&&(f[x].nextP0=f[x+1].p0,f[x].nextS0=f[x+1].s0)}}}});var Jwe=ye((Ylr,Kwe)=>{\"use strict\";var Ywe=xa(),R8=Mr(),L2t=ao(),GT=es().BADNUM,P2t=i2(),I2t=_v().clearMinTextSize;Kwe.exports=function(t,r,n,i){var a=t._fullLayout;I2t(\"waterfall\",a),P2t.plot(t,r,n,i,{mode:a.waterfallmode,norm:a.waterfallmode,gap:a.waterfallgap,groupgap:a.waterfallgroupgap}),R2t(t,r,n,i)};function R2t(e,t,r,n){var i=t.xaxis,a=t.yaxis;R8.makeTraceGroups(n,r,\"trace bars\").each(function(o){var s=Ywe.select(this),l=o[0].trace,u=R8.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible){u.remove();return}var c=l.orientation===\"h\",f=l.connector.mode,h=u.selectAll(\"g.line\").data(R8.identity);h.enter().append(\"g\").classed(\"line\",!0),h.exit().remove();var d=h.size();h.each(function(v,x){if(!(x!==d-1&&!v.cNext)){var 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t=e._readableState;Pl(\"emitReadable_\",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit(\"readable\"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,gj(e)}function vj(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(gAt,e,t))}function gAt(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var r=t.length;if(Pl(\"maybeReadMore read 0\"),e.read(0),r===t.length)break}t.readingMore=!1}vu.prototype._read=function(e){Y4(this,new cAt(\"_read()\"))};vu.prototype.pipe=function(e,t){var r=this,n=this._readableState;switch(n.pipesCount){case 0:n.pipes=e;break;case 1:n.pipes=[n.pipes,e];break;default:n.pipes.push(e);break}n.pipesCount+=1,Pl(\"pipe count=%d opts=%j\",n.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,a=i?s:x;n.endEmitted?process.nextTick(a):r.once(\"end\",a),e.on(\"unpipe\",o);function 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r=K4.prototype.on.call(this,e,t),n=this._readableState;return e===\"data\"?(n.readableListening=this.listenerCount(\"readable\")>0,n.flowing!==!1&&this.resume()):e===\"readable\"&&!n.endEmitted&&!n.readableListening&&(n.readableListening=n.needReadable=!0,n.flowing=!1,n.emittedReadable=!1,Pl(\"on readable\",n.length,n.reading),n.length?AR(this):n.reading||process.nextTick(yAt,this)),r};vu.prototype.addListener=vu.prototype.on;vu.prototype.removeListener=function(e,t){var r=K4.prototype.removeListener.call(this,e,t);return e===\"readable\"&&process.nextTick(fAe,this),r};vu.prototype.removeAllListeners=function(e){var t=K4.prototype.removeAllListeners.apply(this,arguments);return(e===\"readable\"||e===void 0)&&process.nextTick(fAe,this),t};function fAe(e){var t=e._readableState;t.readableListening=e.listenerCount(\"readable\")>0,t.resumeScheduled&&!t.paused?t.flowing=!0:e.listenerCount(\"data\")>0&&e.resume()}function yAt(e){Pl(\"readable nexttick read 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this._readableState.flowing},set:function(t){this._readableState&&(this._readableState.flowing=t)}});vu._fromList=hAe;Object.defineProperty(vu.prototype,\"readableLength\",{enumerable:!1,get:function(){return this._readableState.length}});function hAe(e,t){if(t.length===0)return null;var r;return t.objectMode?r=t.buffer.shift():!e||e>=t.length?(t.decoder?r=t.buffer.join(\"\"):t.buffer.length===1?r=t.buffer.first():r=t.buffer.concat(t.length),t.buffer.clear()):r=t.buffer.consume(e,t.decoder),r}function dj(e){var t=e._readableState;Pl(\"endReadable\",t.endEmitted),t.endEmitted||(t.ended=!0,process.nextTick(bAt,t,e))}function bAt(e,t){if(Pl(\"endReadableNT\",e.endEmitted,e.length),!e.endEmitted&&e.length===0&&(e.endEmitted=!0,t.readable=!1,t.emit(\"end\"),e.autoDestroy)){var r=t._writableState;(!r||r.autoDestroy&&r.finished)&&t.destroy()}}typeof Symbol==\"function\"&&(vu.from=function(e,t){return cj===void 0&&(cj=nAe()),cj(vu,e,t)});function dAe(e,t){for(var r=0,n=e.length;r<n;r++)if(e[r]===t)return r;return-1}});var mj=ye((tcr,gAe)=>{\"use strict\";gAe.exports=Hy;var SR=v2().codes,wAt=SR.ERR_METHOD_NOT_IMPLEMENTED,TAt=SR.ERR_MULTIPLE_CALLBACK,AAt=SR.ERR_TRANSFORM_ALREADY_TRANSFORMING,SAt=SR.ERR_TRANSFORM_WITH_LENGTH_0,MR=p2();Uy()(Hy,MR);function MAt(e,t){var r=this._transformState;r.transforming=!1;var n=r.writecb;if(n===null)return this.emit(\"error\",new TAt);r.writechunk=null,r.writecb=null,t!=null&&this.push(t),n(e);var i=this._readableState;i.reading=!1,(i.needReadable||i.length<i.highWaterMark)&&this._read(i.highWaterMark)}function Hy(e){if(!(this instanceof Hy))return new Hy(e);MR.call(this,e),this._transformState={afterTransform:MAt.bind(this),needTransform:!1,transforming:!1,writecb:null,writechunk:null,writeencoding:null},this._readableState.needReadable=!0,this._readableState.sync=!1,e&&(typeof e.transform==\"function\"&&(this._transform=e.transform),typeof 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+       "\n",
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wMe=ye(($u,bMe)=>{$u=bMe.exports=jj.debug=jj.default=jj;$u.coerce=HMt;$u.disable=UMt;$u.enable=NMt;$u.enabled=VMt;$u.humanize=xMe();$u.names=[];$u.skips=[];$u.formatters={};var Gj;function BMt(e){var t=0,r;for(r in e)t=(t<<5)-t+e.charCodeAt(r),t|=0;return $u.colors[Math.abs(t)%$u.colors.length]}function jj(e){function t(){if(t.enabled){var r=t,n=+new Date,i=n-(Gj||n);r.diff=i,r.prev=Gj,r.curr=n,Gj=n;for(var a=new Array(arguments.length),o=0;o<a.length;o++)a[o]=arguments[o];a[0]=$u.coerce(a[0]),typeof a[0]!=\"string\"&&a.unshift(\"%O\");var s=0;a[0]=a[0].replace(/%([a-zA-Z%])/g,function(u,c){if(u===\"%%\")return u;s++;var f=$u.formatters[c];if(typeof f==\"function\"){var h=a[s];u=f.call(r,h),a.splice(s,1),s--}return u}),$u.formatArgs.call(r,a);var l=t.log||$u.log||console.log.bind(console);l.apply(r,a)}}return t.namespace=e,t.enabled=$u.enabled(e),t.useColors=$u.useColors(),t.color=BMt(e),typeof $u.init==\"function\"&&$u.init(t),t}function NMt(e){$u.save(e),$u.names=[],$u.skips=[];for(var t=(typeof e==\"string\"?e:\"\").split(/[\\s,]+/),r=t.length,n=0;n<r;n++)t[n]&&(e=t[n].replace(/\\*/g,\".*?\"),e[0]===\"-\"?$u.skips.push(new RegExp(\"^\"+e.substr(1)+\"$\")):$u.names.push(new RegExp(\"^\"+e+\"$\")))}function UMt(){$u.enable(\"\")}function VMt(e){var t,r;for(t=0,r=$u.skips.length;t<r;t++)if($u.skips[t].test(e))return!1;for(t=0,r=$u.names.length;t<r;t++)if($u.names[t].test(e))return!0;return!1}function HMt(e){return e instanceof Error?e.stack||e.message:e}});var SMe=ye((lp,AMe)=>{lp=AMe.exports=wMe();lp.log=WMt;lp.formatArgs=jMt;lp.save=ZMt;lp.load=TMe;lp.useColors=GMt;lp.storage=typeof chrome!=\"undefined\"&&typeof chrome.storage!=\"undefined\"?chrome.storage.local:XMt();lp.colors=[\"lightseagreen\",\"forestgreen\",\"goldenrod\",\"dodgerblue\",\"darkorchid\",\"crimson\"];function GMt(){return typeof window!=\"undefined\"&&window.process&&window.process.type===\"renderer\"?!0:typeof document!=\"undefined\"&&document.documentElement&&document.documentElement.style&&document.documentElement.style.WebkitAppearance||typeof window!=\"undefined\"&&window.console&&(window.console.firebug||window.console.exception&&window.console.table)||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/firefox\\/(\\d+)/)&&parseInt(RegExp.$1,10)>=31||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/applewebkit\\/(\\d+)/)}lp.formatters.j=function(e){try{return JSON.stringify(e)}catch(t){return\"[UnexpectedJSONParseError]: \"+t.message}};function jMt(e){var t=this.useColors;if(e[0]=(t?\"%c\":\"\")+this.namespace+(t?\" %c\":\" \")+e[0]+(t?\"%c \":\" \")+\"+\"+lp.humanize(this.diff),!!t){var r=\"color: \"+this.color;e.splice(1,0,r,\"color: inherit\");var n=0,i=0;e[0].replace(/%[a-zA-Z%]/g,function(a){a!==\"%%\"&&(n++,a===\"%c\"&&(i=n))}),e.splice(i,0,r)}}function WMt(){return typeof console==\"object\"&&console.log&&Function.prototype.apply.call(console.log,console,arguments)}function ZMt(e){try{e==null?lp.storage.removeItem(\"debug\"):lp.storage.debug=e}catch(t){}}function TMe(){var e;try{e=lp.storage.debug}catch(t){}return!e&&typeof process!=\"undefined\"&&\"env\"in process&&(e=process.env.DEBUG),e}lp.enable(TMe());function XMt(){try{return window.localStorage}catch(e){}}});var RMe=ye((Scr,IMe)=>{var p5=tE(),V_=SMe()(\"stream-parser\");IMe.exports=KMt;var EMe=-1,$R=0,YMt=1,kMe=2;function KMt(e){var t=e&&typeof e._transform==\"function\",r=e&&typeof e._write==\"function\";if(!t&&!r)throw new Error(\"must pass a Writable or Transform stream in\");V_(\"extending Parser into stream\"),e._bytes=JMt,e._skipBytes=$Mt,t&&(e._passthrough=QMt),t?e._transform=t4t:e._write=e4t}function yE(e){V_(\"initializing parser stream\"),e._parserBytesLeft=0,e._parserBuffers=[],e._parserBuffered=0,e._parserState=EMe,e._parserCallback=null,typeof 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t==\"function\"&&(r=t),LMe(this,e,null,r)}function t4t(e,t,r){this._parserInit||yE(this),V_(\"transform(%o bytes)\",e.length),typeof t!=\"function\"&&(t=this._parserOutput),LMe(this,e,t,r)}function CMe(e,t,r,n){return e._parserBytesLeft<=0?n(new Error(\"got data but not currently parsing anything\")):t.length<=e._parserBytesLeft?function(){return MMe(e,t,r,n)}:function(){var i=t.slice(0,e._parserBytesLeft);return MMe(e,i,r,function(a){if(a)return n(a);if(t.length>i.length)return function(){return CMe(e,t.slice(i.length),r,n)}})}}function MMe(e,t,r,n){if(e._parserBytesLeft-=t.length,V_(\"%o bytes left for stream piece\",e._parserBytesLeft),e._parserState===$R?(e._parserBuffers.push(t),e._parserBuffered+=t.length):e._parserState===kMe&&r(t),e._parserBytesLeft===0){var i=e._parserCallback;if(i&&e._parserState===$R&&e._parserBuffers.length>1&&(t=Buffer.concat(e._parserBuffers,e._parserBuffered)),e._parserState!==$R&&(t=null),e._parserCallback=null,e._parserBuffered=0,e._parserState=EMe,e._parserBuffers.splice(0),i){var a=[];t&&a.push(t),r&&a.push(r);var o=i.length>a.length;o&&a.push(PMe(n));var s=i.apply(e,a);if(!o||n===s)return n}}else return n}var LMe=PMe(CMe);function PMe(e){return function(){for(var t=e.apply(this,arguments);typeof t==\"function\";)t=t();return t}}});var Eu=ye(Gy=>{\"use strict\";var DMe=MAe().Transform,r4t=RMe();function _E(){DMe.call(this,{readableObjectMode:!0})}_E.prototype=Object.create(DMe.prototype);_E.prototype.constructor=_E;r4t(_E.prototype);Gy.ParserStream=_E;Gy.sliceEq=function(e,t,r){for(var n=t,i=0;i<r.length;)if(e[n++]!==r[i++])return!1;return!0};Gy.str2arr=function(e,t){var r=[],n=0;if(t&&t===\"hex\")for(;n<e.length;)r.push(parseInt(e.slice(n,n+2),16)),n+=2;else for(;n<e.length;n++)r.push(e.charCodeAt(n)&255);return r};Gy.readUInt16LE=function(e,t){return e[t]|e[t+1]<<8};Gy.readUInt16BE=function(e,t){return e[t+1]|e[t]<<8};Gy.readUInt32LE=function(e,t){return e[t]|e[t+1]<<8|e[t+2]<<16|e[t+3]*16777216};Gy.readUInt32BE=function(e,t){return e[t+3]|e[t+2]<<8|e[t+1]<<16|e[t]*16777216};function QR(e,t,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=new Error().stack||\"\",this.name=this.constructor.name,this.message=e,t&&(this.code=t),r&&(this.statusCode=r)}QR.prototype=Object.create(Error.prototype);QR.prototype.constructor=QR;Gy.ProbeError=QR});var zMe=ye((Ecr,eD)=>{\"use strict\";var g5=Eu().readUInt16BE,Zj=Eu().readUInt32BE;function xE(e,t){if(e.length<4+t)return null;var r=Zj(e,t);return e.length<r+t||r<8?null:{boxtype:String.fromCharCode.apply(null,e.slice(t+4,t+8)),data:e.slice(t+8,t+r),end:t+r}}eD.exports.unbox=xE;function i4t(e,t){for(var r=0;;){var n=xE(e,r);if(!n)break;switch(n.boxtype){case\"ispe\":t.sizes.push({width:Zj(n.data,4),height:Zj(n.data,8)});break;case\"irot\":t.transforms.push({type:\"irot\",value:n.data[0]&3});break;case\"imir\":t.transforms.push({type:\"imir\",value:n.data[0]&1});break}r=n.end}}function Wj(e,t,r){for(var n=0,i=0;i<r;i++)n=n*256+(e[t+i]||0);return n}function n4t(e,t){for(var r=e[4]>>4&15,n=e[4]&15,i=e[5]>>4&15,a=g5(e,6),o=8,s=0;s<a;s++){var l=g5(e,o);o+=2;var u=g5(e,o);o+=2;var c=Wj(e,o,i);o+=i;var f=g5(e,o);if(o+=2,u===0&&f===1){var h=Wj(e,o,r),d=Wj(e,o+r,n);t.item_loc[l]={length:d,offset:h+c}}o+=f*(r+n)}}function a4t(e,t){for(var r=g5(e,4),n=6,i=0;i<r;i++){var a=xE(e,n);if(!a)break;if(a.boxtype===\"infe\"){for(var o=g5(a.data,4),s=\"\",l=8;l<a.data.length&&a.data[l];l++)s+=String.fromCharCode(a.data[l]);t.item_inf[s]=o}n=a.end}}function o4t(e,t){for(var r=0;;){var n=xE(e,r);if(!n)break;n.boxtype===\"ipco\"&&i4t(n.data,t),r=n.end}}function s4t(e,t){for(var r=4;;){var n=xE(e,r);if(!n)break;n.boxtype===\"iprp\"&&o4t(n.data,t),n.boxtype===\"iloc\"&&n4t(n.data,t),n.boxtype===\"iinf\"&&a4t(n.data,t),r=n.end}}function l4t(e){var t=e.reduce(function(i,a){return i.width>a.width||i.width===a.width&&i.height>a.height?i:a}),r=e.reduce(function(i,a){return i.height>a.height||i.height===a.height&&i.width>a.width?i:a}),n;return t.width>r.height||t.width===r.height&&t.height>r.width?n=t:n=r,n}eD.exports.readSizeFromMeta=function(e){var t={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(s4t(e,t),!!t.sizes.length){var r=l4t(t.sizes),n=1;t.transforms.forEach(function(a){var o={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},s={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(a.type===\"imir\"&&(a.value===0?n=s[n]:(n=s[n],n=o[n],n=o[n])),a.type===\"irot\")for(var l=0;l<a.value;l++)n=o[n]});var i=null;return t.item_inf.Exif&&(i=t.item_loc[t.item_inf.Exif]),{width:r.width,height:r.height,orientation:t.transforms.length?n:null,variants:t.sizes,exif_location:i}}};eD.exports.getMimeType=function(e){var t=String.fromCharCode.apply(null,e.slice(0,4)),r={};r[t]=!0;for(var n=8;n<e.length;n+=4)r[String.fromCharCode.apply(null,e.slice(n,n+4))]=!0;if(!(!r.mif1&&!r.msf1&&!r.miaf))return t===\"avif\"||t===\"avis\"||t===\"avio\"?{type:\"avif\",mime:\"image/avif\"}:t===\"heic\"||t===\"heix\"?{type:\"heic\",mime:\"image/heic\"}:t===\"hevc\"||t===\"hevx\"?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}});var rD=ye((kcr,Xj)=>{\"use strict\";function tD(e,t){var r=new Error(e);return r.code=t,r}function u4t(e){try{return decodeURIComponent(escape(e))}catch(t){return e}}function jy(e,t,r){this.input=e.subarray(t,r),this.start=t;var n=String.fromCharCode.apply(null,this.input.subarray(0,4));if(n!==\"II*\\0\"&&n!==\"MM\\0*\")throw tD(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=n[0]===\"M\"}jy.prototype.each=function(e){this.aborted=!1;var t=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:t}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,e)}};jy.prototype.read_uint16=function(e){var t=this.input;if(e+2>t.length)throw tD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*256+t[e+1]:t[e]+t[e+1]*256};jy.prototype.read_uint32=function(e){var t=this.input;if(e+4>t.length)throw tD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*16777216+t[e+1]*65536+t[e+2]*256+t[e+3]:t[e]+t[e+1]*256+t[e+2]*65536+t[e+3]*16777216};jy.prototype.is_subifd_link=function(e,t){return e===0&&t===34665||e===0&&t===34853||e===34665&&t===40965};jy.prototype.exif_format_length=function(e){switch(e){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}};jy.prototype.exif_format_read=function(e,t){var r;switch(e){case 1:case 2:return r=this.input[t],r;case 6:return r=this.input[t],r|(r&128)*33554430;case 3:return r=this.read_uint16(t),r;case 8:return r=this.read_uint16(t),r|(r&32768)*131070;case 4:return r=this.read_uint32(t),r;case 9:return r=this.read_uint32(t),r|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}};jy.prototype.scan_ifd=function(e,t,r){var n=this.read_uint16(t);t+=2;for(var i=0;i<n;i++){var a=this.read_uint16(t),o=this.read_uint16(t+2),s=this.read_uint32(t+4),l=this.exif_format_length(o),u=s*l,c=u<=4?t+8:this.read_uint32(t+8),f=!1;if(c+u>this.input.length)throw tD(\"unexpected EOF\",\"EBADDATA\");for(var h=[],d=c,v=0;v<s;v++,d+=l){var x=this.exif_format_read(o,d);if(x===null){h=null;break}h.push(x)}Array.isArray(h)&&o===2&&(h=u4t(String.fromCharCode.apply(null,h)),h&&h[h.length-1]===\"\\0\"&&(h=h.slice(0,-1))),this.is_subifd_link(e,a)&&Array.isArray(h)&&Number.isInteger(h[0])&&h[0]>0&&(this.ifds_to_read.push({id:a,offset:h[0]}),f=!0);var b={is_big_endian:this.big_endian,ifd:e,tag:a,format:o,count:s,entry_offset:t+this.start,data_length:u,data_offset:c+this.start,value:h,is_subifd_link:f};if(r(b)===!1){this.aborted=!0;return}t+=12}e===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(t)})};Xj.exports.ExifParser=jy;Xj.exports.get_orientation=function(e){var t=0;try{return new jy(e,0,e.length).each(function(r){if(r.ifd===0&&r.tag===274&&Array.isArray(r.value))return t=r.value[0],!1}),t}catch(r){return-1}}});var qMe=ye((Ccr,FMe)=>{\"use strict\";var c4t=Eu().str2arr,f4t=Eu().sliceEq,h4t=Eu().readUInt32BE,iD=zMe(),d4t=rD(),v4t=c4t(\"ftyp\");FMe.exports=function(e){if(f4t(e,4,v4t)){var t=iD.unbox(e,0);if(t){var 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HMe=Eu().str2arr,UMe=Eu().sliceEq,VMe=Eu().readUInt16LE,y4t=HMe(\"GIF87a\"),_4t=HMe(\"GIF89a\");GMe.exports=function(e){if(!(e.length<10)&&!(!UMe(e,0,y4t)&&!UMe(e,0,_4t)))return{width:VMe(e,6),height:VMe(e,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}});var XMe=ye((Icr,ZMe)=>{\"use strict\";var Yj=Eu().readUInt16LE,x4t=0,b4t=1,WMe=16;ZMe.exports=function(e){var t=Yj(e,0),r=Yj(e,2),n=Yj(e,4);if(!(t!==x4t||r!==b4t||!n)){for(var i=[],a={width:0,height:0},o=0;o<n;o++){var s=e[6+WMe*o]||256,l=e[6+WMe*o+1]||256,u={width:s,height:l};i.push(u),(s>a.width||l>a.height)&&(a=u)}return{width:a.width,height:a.height,variants:i,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}});var KMe=ye((Rcr,YMe)=>{\"use strict\";var Kj=Eu().readUInt16BE,w4t=Eu().str2arr,T4t=Eu().sliceEq,A4t=rD(),S4t=w4t(\"Exif\\0\\0\");YMe.exports=function(e){if(!(e.length<2)&&!(e[0]!==255||e[1]!==216||e[2]!==255))for(var t=2;;){for(;;){if(e.length-t<2)return;if(e[t++]===255)break}for(var 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pEt=vl(),gEt=Ju().attributes,mEt=Su(),yEt=dh(),_Et=Wo().hovertemplateAttrs,xEt=Wo().texttemplateAttrs,bE=no().extendFlat,bEt=Ed().pattern,sD=mEt({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});U4e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:yEt.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:bEt,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:bE({},pEt.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:_Et({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:xEt({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:bE({},sD,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:bE({},sD,{}),outsidetextfont:bE({},sD,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:bE({},sD,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:gEt({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"}}});var S2=ye((Kcr,G4e)=>{\"use strict\";var wEt=uo(),wE=Mr(),TEt=A2(),AEt=Ju().defaults,SEt=r0().handleText,MEt=Mr().coercePattern;function V4e(e,t){var r=wE.isArrayOrTypedArray(e),n=wE.isArrayOrTypedArray(t),i=Math.min(r?e.length:1/0,n?t.length:1/0);if(isFinite(i)||(i=0),i&&n){for(var a,o=0;o<i;o++){var s=t[o];if(wEt(s)&&s>0){a=!0;break}}a||(i=0)}return{hasLabels:r,hasValues:n,len:i}}function H4e(e,t,r,n,i){var a=n(\"marker.line.width\");a&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var o=n(\"marker.colors\");MEt(n,\"marker.pattern\",o),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=r.paper_bgcolor)}function EEt(e,t,r,n){function i(E,k){return wE.coerce(e,t,TEt,E,k)}var a=i(\"labels\"),o=i(\"values\"),s=V4e(a,o),l=s.len;if(t._hasLabels=s.hasLabels,t._hasValues=s.hasValues,!t._hasLabels&&t._hasValues&&(i(\"label0\"),i(\"dlabel\")),!l){t.visible=!1;return}t._length=l,H4e(e,t,n,i,!0),i(\"scalegroup\");var u=i(\"text\"),c=i(\"texttemplate\"),f;if(c||(f=i(\"textinfo\",wE.isArrayOrTypedArray(u)?\"text+percent\":\"percent\")),i(\"hovertext\"),i(\"hovertemplate\"),c||f&&f!==\"none\"){var h=i(\"textposition\");SEt(e,t,n,i,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1});var d=Array.isArray(h)||h===\"auto\",v=d||h===\"outside\";v&&i(\"automargin\"),(h===\"inside\"||h===\"auto\"||Array.isArray(h))&&i(\"insidetextorientation\")}else f===\"none\"&&i(\"textposition\",\"none\");AEt(t,n,i);var x=i(\"hole\"),b=i(\"title.text\");if(b){var g=i(\"title.position\",x?\"middle center\":\"top center\");!x&&g===\"middle center\"&&(t.title.position=\"top center\"),wE.coerceFont(i,\"title.font\",n.font)}i(\"sort\"),i(\"direction\"),i(\"rotation\"),i(\"pull\")}G4e.exports={handleLabelsAndValues:V4e,handleMarkerDefaults:H4e,supplyDefaults:EEt}});var lD=ye((Jcr,j4e)=>{\"use strict\";j4e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var Z4e=ye(($cr,W4e)=>{\"use strict\";var kEt=Mr(),CEt=lD();W4e.exports=function(t,r){function n(i,a){return kEt.coerce(t,r,CEt,i,a)}n(\"hiddenlabels\"),n(\"piecolorway\",r.colorway),n(\"extendpiecolors\")}});var y5=ye((Qcr,K4e)=>{\"use strict\";var LEt=uo(),tW=id(),PEt=va(),IEt={};function REt(e,t){var r=[],n=e._fullLayout,i=n.hiddenlabels||[],a=t.labels,o=t.marker.colors||[],s=t.values,l=t._length,u=t._hasValues&&l,c,f;if(t.dlabel)for(a=new Array(l),c=0;c<l;c++)a[c]=String(t.label0+c*t.dlabel);var h={},d=X4e(n[\"_\"+t.type+\"colormap\"]),v=0,x=!1;for(c=0;c<l;c++){var b,g,E;if(u){if(b=s[c],!LEt(b))continue;b=+b}else b=1;g=a[c],(g===void 0||g===\"\")&&(g=c),g=String(g);var k=h[g];k===void 0?(h[g]=r.length,E=i.indexOf(g)!==-1,E||(v+=b),r.push({v:b,label:g,color:d(o[c],g),i:c,pts:[c],hidden:E})):(x=!0,f=r[k],f.v+=b,f.pts.push(c),f.hidden||(v+=b),f.color===!1&&o[c]&&(f.color=d(o[c],g)))}r=r.filter(function(L){return L.v>=0});var A=t.type===\"funnelarea\"?x:t.sort;return A&&r.sort(function(L,_){return _.v-L.v}),r[0]&&(r[0].vTotal=v),r}function X4e(e){return function(r,n){return!r||(r=tW(r),!r.isValid())?!1:(r=PEt.addOpacity(r,r.getAlpha()),e[n]||(e[n]=r),r)}}function DEt(e,t){var r=(t||{}).type;r||(r=\"pie\");var n=e._fullLayout,i=e.calcdata,a=n[r+\"colorway\"],o=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=Y4e(a,IEt));for(var s=0,l=0;l<i.length;l++){var u=i[l],c=u[0].trace.type;if(c===r)for(var f=0;f<u.length;f++){var h=u[f];h.color===!1&&(o[h.label]?h.color=o[h.label]:(o[h.label]=h.color=a[s%a.length],s++))}}}function Y4e(e,t){var r,n=JSON.stringify(e),i=t[n];if(!i){for(i=e.slice(),r=0;r<e.length;r++)i.push(tW(e[r]).lighten(20).toHexString());for(r=0;r<e.length;r++)i.push(tW(e[r]).darken(20).toHexString());t[n]=i}return i}K4e.exports={calc:REt,crossTraceCalc:DEt,makePullColorFn:X4e,generateExtendedColors:Y4e}});var $4e=ye((efr,J4e)=>{\"use strict\";var zEt=rp().appendArrayMultiPointValues;J4e.exports=function(t,r){var n={curveNumber:r.index,pointNumbers:t.pts,data:r._input,fullData:r,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return t.pts.length===1&&(n.pointNumber=n.i=t.pts[0]),zEt(n,r,t.pts),r.type===\"funnelarea\"&&(delete n.v,delete n.i),n}});var hD=ye((tfr,_Ee)=>{\"use strict\";var zp=xa(),FEt=Xu(),uD=Nc(),nEe=va(),Wy=ao(),ev=Mr(),qEt=ev.strScale,Q4e=ev.strTranslate,rW=Ll(),aEe=_v(),OEt=aEe.recordMinTextSize,BEt=aEe.clearMinTextSize,oEe=Qb().TEXTPAD,Zo=l_(),cD=$4e(),eEe=Mr().isValidTextValue;function NEt(e,t){var r=e._context.staticPlot,n=e._fullLayout,i=n._size;BEt(\"pie\",n),uEe(t,e),gEe(t,i);var a=ev.makeTraceGroups(n._pielayer,t,\"trace\").each(function(o){var s=zp.select(this),l=o[0],u=l.trace;YEt(o),s.attr(\"stroke-linejoin\",\"round\"),s.each(function(){var c=zp.select(this).selectAll(\"g.slice\").data(o);c.enter().append(\"g\").classed(\"slice\",!0),c.exit().remove();var f=[[[],[]],[[],[]]],h=!1;c.each(function(A,L){if(A.hidden){zp.select(this).selectAll(\"path,g\").remove();return}A.pointNumber=A.i,A.curveNumber=u.index,f[A.pxmid[1]<0?0:1][A.pxmid[0]<0?0:1].push(A);var _=l.cx,C=l.cy,M=zp.select(this),p=M.selectAll(\"path.surface\").data([A]);if(p.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),M.call(sEe,e,o),u.pull){var P=+Zo.castOption(u.pull,A.pts)||0;P>0&&(_+=P*A.pxmid[0],C+=P*A.pxmid[1])}A.cxFinal=_,A.cyFinal=C;function T(N,W,re,ae){var _e=ae*(W[0]-N[0]),Me=ae*(W[1]-N[1]);return\"a\"+ae*l.r+\",\"+ae*l.r+\" 0 \"+A.largeArc+(re?\" 1 \":\" 0 \")+_e+\",\"+Me}var F=u.hole;if(A.v===l.vTotal){var q=\"M\"+(_+A.px0[0])+\",\"+(C+A.px0[1])+T(A.px0,A.pxmid,!0,1)+T(A.pxmid,A.px0,!0,1)+\"Z\";F?p.attr(\"d\",\"M\"+(_+F*A.px0[0])+\",\"+(C+F*A.px0[1])+T(A.px0,A.pxmid,!1,F)+T(A.pxmid,A.px0,!1,F)+\"Z\"+q):p.attr(\"d\",q)}else{var V=T(A.px0,A.px1,!0,1);if(F){var H=1-F;p.attr(\"d\",\"M\"+(_+F*A.px1[0])+\",\"+(C+F*A.px1[1])+T(A.px1,A.px0,!1,F)+\"l\"+H*A.px0[0]+\",\"+H*A.px0[1]+V+\"Z\")}else p.attr(\"d\",\"M\"+_+\",\"+C+\"l\"+A.px0[0]+\",\"+A.px0[1]+V+\"Z\")}mEe(e,A,l);var X=Zo.castOption(u.textposition,A.pts),G=M.selectAll(\"g.slicetext\").data(A.text&&X!==\"none\"?[0]:[]);G.enter().append(\"g\").classed(\"slicetext\",!0),G.exit().remove(),G.each(function(){var N=ev.ensureSingle(zp.select(this),\"text\",\"\",function(ie){ie.attr(\"data-notex\",1)}),W=ev.ensureUniformFontSize(e,X===\"outside\"?VEt(u,A,n.font):lEe(u,A,n.font));N.text(A.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(Wy.font,W).call(rW.convertToTspans,e);var re=Wy.bBox(N.node()),ae;if(X===\"outside\")ae=iEe(re,A);else if(ae=cEe(re,A,l),X===\"auto\"&&ae.scale<1){var _e=ev.ensureUniformFontSize(e,u.outsidetextfont);N.call(Wy.font,_e),re=Wy.bBox(N.node()),ae=iEe(re,A)}var Me=ae.textPosAngle,ke=Me===void 0?A.pxmid:fD(l.r,Me);if(ae.targetX=_+ke[0]*ae.rCenter+(ae.x||0),ae.targetY=C+ke[1]*ae.rCenter+(ae.y||0),yEe(ae,re),ae.outside){var ge=ae.targetY;A.yLabelMin=ge-re.height/2,A.yLabelMid=ge,A.yLabelMax=ge+re.height/2,A.labelExtraX=0,A.labelExtraY=0,h=!0}ae.fontSize=W.size,OEt(u.type,ae,n),o[L].transform=ae,ev.setTransormAndDisplay(N,ae)})});var d=zp.select(this).selectAll(\"g.titletext\").data(u.title.text?[0]:[]);if(d.enter().append(\"g\").classed(\"titletext\",!0),d.exit().remove(),d.each(function(){var A=ev.ensureSingle(zp.select(this),\"text\",\"\",function(C){C.attr(\"data-notex\",1)}),L=u.title.text;u._meta&&(L=ev.templateString(L,u._meta)),A.text(L).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(Wy.font,u.title.font).call(rW.convertToTspans,e);var _;u.title.position===\"middle center\"?_=jEt(l):_=vEe(l,i),A.attr(\"transform\",Q4e(_.x,_.y)+qEt(Math.min(1,_.scale))+Q4e(_.tx,_.ty))}),h&&ZEt(f,u),UEt(c,u),h&&u.automargin){var v=Wy.bBox(s.node()),x=u.domain,b=i.w*(x.x[1]-x.x[0]),g=i.h*(x.y[1]-x.y[0]),E=(.5*b-l.r)/i.w,k=(.5*g-l.r)/i.h;FEt.autoMargin(e,\"pie.\"+u.uid+\".automargin\",{xl:x.x[0]-E,xr:x.x[1]+E,yb:x.y[0]-k,yt:x.y[1]+k,l:Math.max(l.cx-l.r-v.left,0),r:Math.max(v.right-(l.cx+l.r),0),b:Math.max(v.bottom-(l.cy+l.r),0),t:Math.max(l.cy-l.r-v.top,0),pad:5})}})});setTimeout(function(){a.selectAll(\"tspan\").each(function(){var o=zp.select(this);o.attr(\"dy\")&&o.attr(\"dy\",o.attr(\"dy\"))})},0)}function UEt(e,t){e.each(function(r){var n=zp.select(this);if(!r.labelExtraX&&!r.labelExtraY){n.select(\"path.textline\").remove();return}var i=n.select(\"g.slicetext text\");r.transform.targetX+=r.labelExtraX,r.transform.targetY+=r.labelExtraY,ev.setTransormAndDisplay(i,r.transform);var a=r.cxFinal+r.pxmid[0],o=r.cyFinal+r.pxmid[1],s=\"M\"+a+\",\"+o,l=(r.yLabelMax-r.yLabelMin)*(r.pxmid[0]<0?-1:1)/4;if(r.labelExtraX){var u=r.labelExtraX*r.pxmid[1]/r.pxmid[0],c=r.yLabelMid+r.labelExtraY-(r.cyFinal+r.pxmid[1]);Math.abs(u)>Math.abs(c)?s+=\"l\"+c*r.pxmid[0]/r.pxmid[1]+\",\"+c+\"H\"+(a+r.labelExtraX+l):s+=\"l\"+r.labelExtraX+\",\"+u+\"v\"+(c-u)+\"h\"+l}else s+=\"V\"+(r.yLabelMid+r.labelExtraY)+\"h\"+l;ev.ensureSingle(n,\"path\",\"textline\").call(nEe.stroke,t.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,t.outsidetextfont.size/8),d:s,fill:\"none\"})})}function sEe(e,t,r){var n=r[0],i=n.cx,a=n.cy,o=n.trace,s=o.type===\"funnelarea\";\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),e.on(\"mouseover\",function(l){var u=t._fullLayout,c=t._fullData[o.index];if(!(t._dragging||u.hovermode===!1)){var f=c.hoverinfo;if(Array.isArray(f)&&(f=uD.castHoverinfo({hoverinfo:[Zo.castOption(f,l.pts)],_module:o._module},u,0)),f===\"all\"&&(f=\"label+text+value+percent+name\"),c.hovertemplate||f!==\"none\"&&f!==\"skip\"&&f){var h=l.rInscribed||0,d=i+l.pxmid[0]*(1-h),v=a+l.pxmid[1]*(1-h),x=u.separators,b=[];if(f&&f.indexOf(\"label\")!==-1&&b.push(l.label),l.text=Zo.castOption(c.hovertext||c.text,l.pts),f&&f.indexOf(\"text\")!==-1){var g=l.text;ev.isValidTextValue(g)&&b.push(g)}l.value=l.v,l.valueLabel=Zo.formatPieValue(l.v,x),f&&f.indexOf(\"value\")!==-1&&b.push(l.valueLabel),l.percent=l.v/n.vTotal,l.percentLabel=Zo.formatPiePercent(l.percent,x),f&&f.indexOf(\"percent\")!==-1&&b.push(l.percentLabel);var E=c.hoverlabel,k=E.font,A=[];uD.loneHover({trace:o,x0:d-h*n.r,x1:d+h*n.r,y:v,_x0:s?i+l.TL[0]:d-h*n.r,_x1:s?i+l.TR[0]:d+h*n.r,_y0:s?a+l.TL[1]:v-h*n.r,_y1:s?a+l.BL[1]:v+h*n.r,text:b.join(\"<br>\"),name:c.hovertemplate||f.indexOf(\"name\")!==-1?c.name:void 0,idealAlign:l.pxmid[0]<0?\"left\":\"right\",color:Zo.castOption(E.bgcolor,l.pts)||l.color,borderColor:Zo.castOption(E.bordercolor,l.pts),fontFamily:Zo.castOption(k.family,l.pts),fontSize:Zo.castOption(k.size,l.pts),fontColor:Zo.castOption(k.color,l.pts),nameLength:Zo.castOption(E.namelength,l.pts),textAlign:Zo.castOption(E.align,l.pts),hovertemplate:Zo.castOption(c.hovertemplate,l.pts),hovertemplateLabels:l,eventData:[cD(l,c)]},{container:u._hoverlayer.node(),outerContainer:u._paper.node(),gd:t,inOut_bbox:A}),l.bbox=A[0],o._hasHoverLabel=!0}o._hasHoverEvent=!0,t.emit(\"plotly_hover\",{points:[cD(l,c)],event:zp.event})}}),e.on(\"mouseout\",function(l){var u=t._fullLayout,c=t._fullData[o.index],f=zp.select(this).datum();o._hasHoverEvent&&(l.originalEvent=zp.event,t.emit(\"plotly_unhover\",{points:[cD(f,c)],event:zp.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(uD.loneUnhover(u._hoverlayer.node()),o._hasHoverLabel=!1)}),e.on(\"click\",function(l){var u=t._fullLayout,c=t._fullData[o.index];t._dragging||u.hovermode===!1||(t._hoverdata=[cD(l,c)],uD.click(t,zp.event))})}function VEt(e,t,r){var n=Zo.castOption(e.outsidetextfont.color,t.pts)||Zo.castOption(e.textfont.color,t.pts)||r.color,i=Zo.castOption(e.outsidetextfont.family,t.pts)||Zo.castOption(e.textfont.family,t.pts)||r.family,a=Zo.castOption(e.outsidetextfont.size,t.pts)||Zo.castOption(e.textfont.size,t.pts)||r.size,o=Zo.castOption(e.outsidetextfont.weight,t.pts)||Zo.castOption(e.textfont.weight,t.pts)||r.weight,s=Zo.castOption(e.outsidetextfont.style,t.pts)||Zo.castOption(e.textfont.style,t.pts)||r.style,l=Zo.castOption(e.outsidetextfont.variant,t.pts)||Zo.castOption(e.textfont.variant,t.pts)||r.variant,u=Zo.castOption(e.outsidetextfont.textcase,t.pts)||Zo.castOption(e.textfont.textcase,t.pts)||r.textcase,c=Zo.castOption(e.outsidetextfont.lineposition,t.pts)||Zo.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=Zo.castOption(e.outsidetextfont.shadow,t.pts)||Zo.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n,family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function lEe(e,t,r){var n=Zo.castOption(e.insidetextfont.color,t.pts);!n&&e._input.textfont&&(n=Zo.castOption(e._input.textfont.color,t.pts));var 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ie=BE.select(this),Te=bv.ensureSingle(ie,\"path\",\"surface\",function(Re){Re.style(\"pointer-events\",i?\"none\":\"all\")});ge.rpx0=q(ge.y0),ge.rpx1=q(ge.y1),ge.xmid=(ge.x0+ge.x1)/2,ge.pxmid=V(ge.rpx1,ge.xmid),ge.midangle=-(ge.xmid-Math.PI/2),ge.startangle=-(ge.x0-Math.PI/2),ge.stopangle=-(ge.x1-Math.PI/2),ge.halfangle=.5*Math.min(bv.angleDelta(ge.x0,ge.x1)||Math.PI,Math.PI),ge.ring=1-ge.rpx0/ge.rpx1,ge.rInscribed=uCt(ge,c),o?Te.transition().attrTween(\"d\",function(Re){var ce=_e(Re);return function(Ge){return H(ce(Ge))}}):Te.attr(\"d\",H),ie.call(sCt,h,e,t,{eventDataKeys:CW.eventDataKeys,transitionTime:CW.CLICK_TRANSITION_TIME,transitionEasing:CW.CLICK_TRANSITION_EASING}).call(sl.setSliceCursor,e,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:e._transitioning}),Te.call(aCt,ge,c,e);var Ee=bv.ensureSingle(ie,\"g\",\"slicetext\"),Ae=bv.ensureSingle(Ee,\"text\",\"\",function(Re){Re.attr(\"data-notex\",1)}),ze=bv.ensureUniformFontSize(e,sl.determineTextFont(c,ge,a.font));Ae.text(DD.formatSliceLabel(ge,h,c,t,a)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(uCe.font,ze).call(eCt.convertToTspans,e);var Ce=uCe.bBox(Ae.node());ge.transform=nCt(Ce,ge,u),ge.transform.targetX=X(ge),ge.transform.targetY=G(ge);var me=function(Re,ce){var Ge=Re.transform;return iCt(Ge,ce),Ge.fontSize=ze.size,cCe(c.type,Ge,a),bv.getTextTransform(Ge)};o?Ae.transition().attrTween(\"transform\",function(Re){var ce=Me(Re);return function(Ge){return me(ce(Ge),Ce)}}):Ae.attr(\"transform\",me(ge,Ce))});function ae(ge){var ie=sl.getPtId(ge),Te=_[ie],Ee=_[sl.getPtId(h)],Ae;if(Ee){var ze=(ge.x1>Ee.x1?2*Math.PI:0)+T;Ae=ge.rpx1<Ee.rpx1?{x0:ge.x0,x1:ge.x1,rpx0:0,rpx1:0}:{x0:ze,x1:ze,rpx0:ge.rpx0,rpx1:ge.rpx1}}else{var Ce,me=sl.getPtId(ge.parent);l.each(function(ct){if(sl.getPtId(ct)===me)return 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fCt=Wo().hovertemplateAttrs,hCt=Wo().texttemplateAttrs,dCt=Kl(),vCt=Ju().attributes,F2=A2(),Q0=AE(),wCe=z2(),LW=no().extendFlat,pCt=Ed().pattern;TCe.exports={labels:Q0.labels,parents:Q0.parents,values:Q0.values,branchvalues:Q0.branchvalues,count:Q0.count,level:Q0.level,maxdepth:Q0.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:LW({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:Q0.marker.colors,pattern:pCt,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:Q0.marker.line,cornerradius:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},dCt(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:LW({},F2.textfont,{}),editType:\"calc\"},text:F2.text,textinfo:Q0.textinfo,texttemplate:hCt({editType:\"plot\"},{keys:wCe.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:F2.hovertext,hoverinfo:Q0.hoverinfo,hovertemplate:fCt({},{keys:wCe.eventDataKeys}),textfont:F2.textfont,insidetextfont:F2.insidetextfont,outsidetextfont:LW({},F2.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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u=a(\"tiling.packing\");u===\"squarify\"&&a(\"tiling.squarifyratio\"),a(\"tiling.flip\"),a(\"tiling.pad\");var c=a(\"text\");a(\"texttemplate\"),r.texttemplate||a(\"textinfo\",SCe.isArrayOrTypedArray(c)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\");var f=a(\"pathbar.visible\"),h=\"auto\";_Ct(t,r,i,a,h,{hasPathbar:f,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),a(\"textposition\");var d=r.textposition.indexOf(\"bottom\")!==-1;bCt(t,r,i,a);var v=r._hasColorscale=wCt(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;v?TCt(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}):a(\"marker.depthfade\",!(r.marker.colors||[]).length);var x=r.textfont.size*2;a(\"marker.pad.t\",d?x/4:x),a(\"marker.pad.l\",x/4),a(\"marker.pad.r\",x/4),a(\"marker.pad.b\",d?x:x/4),a(\"marker.cornerradius\"),r._hovered={marker:{line:{width:2,color:mCt.contrast(i.paper_bgcolor)}}},f&&(a(\"pathbar.thickness\",r.pathbar.textfont.size+2*xCt),a(\"pathbar.side\"),a(\"pathbar.edgeshape\")),a(\"sort\"),a(\"root.color\"),yCt(r,i,a),r._length=null}});var LCe=ye((ddr,CCe)=>{\"use strict\";var ACt=Mr(),SCt=PW();CCe.exports=function(t,r){function n(i,a){return ACt.coerce(t,r,SCt,i,a)}n(\"treemapcolorway\",r.colorway),n(\"extendtreemapcolors\")}});var RW=ye(IW=>{\"use strict\";var PCe=EE();IW.calc=function(e,t){return PCe.calc(e,t)};IW.crossTraceCalc=function(e){return PCe._runCrossTraceCalc(\"treemap\",e)}});var DW=ye((pdr,ICe)=>{\"use strict\";ICe.exports=function e(t,r,n){var i;n.swapXY&&(i=t.x0,t.x0=t.y0,t.y0=i,i=t.x1,t.x1=t.y1,t.y1=i),n.flipX&&(i=t.x0,t.x0=r[0]-t.x1,t.x1=r[0]-i),n.flipY&&(i=t.y0,t.y0=r[1]-t.y1,t.y1=r[1]-i);var a=t.children;if(a)for(var o=0;o<a.length;o++)e(a[o],r,n)}});var zW=ye((gdr,RCe)=>{\"use strict\";var P5=SE(),MCt=DW();RCe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.packing===\"dice-slice\",s=n.pad[a?\"bottom\":\"top\"],l=n.pad[i?\"right\":\"left\"],u=n.pad[i?\"left\":\"right\"],c=n.pad[a?\"top\":\"bottom\"],f;o&&(f=l,l=s,s=f,f=u,u=c,c=f);var h=P5.treemap().tile(ECt(n.packing,n.squarifyratio)).paddingInner(n.pad.inner).paddingLeft(l).paddingRight(u).paddingTop(s).paddingBottom(c).size(o?[r[1],r[0]]:r)(t);return(o||i||a)&&MCt(h,r,{swapXY:o,flipX:i,flipY:a}),h};function ECt(e,t){switch(e){case\"squarify\":return P5.treemapSquarify.ratio(t);case\"binary\":return P5.treemapBinary;case\"dice\":return P5.treemapDice;case\"slice\":return P5.treemapSlice;default:return P5.treemapSliceDice}}});var qD=ye((mdr,qCe)=>{\"use strict\";var DCe=xa(),I5=va(),zCe=Mr(),FW=Ky(),kCt=_v().resizeText,CCt=RD();function LCt(e){var t=e._fullLayout._treemaplayer.selectAll(\".trace\");kCt(e,t,\"treemap\"),t.each(function(r){var n=DCe.select(this),i=r[0],a=i.trace;n.style(\"opacity\",a.opacity),n.selectAll(\"path.surface\").each(function(o){DCe.select(this).call(FCe,o,a,e,{hovered:!1})})})}function FCe(e,t,r,n,i){var a=(i||{}).hovered,o=t.data.data,s=o.i,l,u,c=o.color,f=FW.isHierarchyRoot(t),h=1;if(a)l=r._hovered.marker.line.color,u=r._hovered.marker.line.width;else if(f&&c===r.root.color)h=100,l=\"rgba(0,0,0,0)\",u=0;else if(l=zCe.castOption(r,s,\"marker.line.color\")||I5.defaultLine,u=zCe.castOption(r,s,\"marker.line.width\")||0,!r._hasColorscale&&!t.onPathbar){var d=r.marker.depthfade;if(d){var v=I5.combine(I5.addOpacity(r._backgroundColor,.75),c),x;if(d===!0){var b=FW.getMaxDepth(r);isFinite(b)?FW.isLeaf(t)?x=0:x=r._maxVisibleLayers-(t.data.depth-r._entryDepth):x=t.data.height+1}else x=t.data.depth-r._entryDepth,r._atRootLevel||x++;if(x>0)for(var g=0;g<x;g++){var 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ie(this,xe,Se,lt,!0)},T.prototype.lastIndexOf=function(xe,Se,lt){return ie(this,xe,Se,lt,!1)};function Ee(Le,xe,Se,lt){Se=Number(Se)||0;var Gt=Le.length-Se;lt?(lt=Number(lt),lt>Gt&&(lt=Gt)):lt=Gt;var Vt=xe.length;lt>Vt/2&&(lt=Vt/2);var ar;for(ar=0;ar<lt;++ar){var Qr=parseInt(xe.substr(ar*2,2),16);if(Ye(Qr))return ar;Le[Se+ar]=Qr}return ar}function Ae(Le,xe,Se,lt){return ut(_r(xe,Le.length-Se),Le,Se,lt)}function ze(Le,xe,Se,lt){return ut(Br(xe),Le,Se,lt)}function Ce(Le,xe,Se,lt){return ut(Nr(xe),Le,Se,lt)}function me(Le,xe,Se,lt){return ut(Or(xe,Le.length-Se),Le,Se,lt)}T.prototype.write=function(xe,Se,lt,Gt){if(Se===void 0)Gt=\"utf8\",lt=this.length,Se=0;else if(lt===void 0&&typeof Se==\"string\")Gt=Se,lt=this.length,Se=0;else if(isFinite(Se))Se=Se>>>0,isFinite(lt)?(lt=lt>>>0,Gt===void 0&&(Gt=\"utf8\")):(Gt=lt,lt=void 0);else throw new Error(\"Buffer.write(string, encoding, offset[, length]) is no longer supported\");var Vt=this.length-Se;if((lt===void 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lt=Le.length;(!xe||xe<0)&&(xe=0),(!Se||Se<0||Se>lt)&&(Se=lt);for(var Gt=\"\",Vt=xe;Vt<Se;++Vt)Gt+=Ve[Le[Vt]];return Gt}function ot(Le,xe,Se){for(var lt=Le.slice(xe,Se),Gt=\"\",Vt=0;Vt<lt.length-1;Vt+=2)Gt+=String.fromCharCode(lt[Vt]+lt[Vt+1]*256);return Gt}T.prototype.slice=function(xe,Se){var lt=this.length;xe=~~xe,Se=Se===void 0?lt:~~Se,xe<0?(xe+=lt,xe<0&&(xe=0)):xe>lt&&(xe=lt),Se<0?(Se+=lt,Se<0&&(Se=0)):Se>lt&&(Se=lt),Se<xe&&(Se=xe);var Gt=this.subarray(xe,Se);return Object.setPrototypeOf(Gt,T.prototype),Gt};function Rt(Le,xe,Se){if(Le%1!==0||Le<0)throw new RangeError(\"offset is not uint\");if(Le+xe>Se)throw new RangeError(\"Trying to access beyond buffer length\")}T.prototype.readUintLE=T.prototype.readUIntLE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe],Vt=1,ar=0;++ar<Se&&(Vt*=256);)Gt+=this[xe+ar]*Vt;return Gt},T.prototype.readUintBE=T.prototype.readUIntBE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe+--Se],Vt=1;Se>0&&(Vt*=256);)Gt+=this[xe+--Se]*Vt;return Gt},T.prototype.readUint8=T.prototype.readUInt8=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,1,this.length),this[xe]},T.prototype.readUint16LE=T.prototype.readUInt16LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,2,this.length),this[xe]|this[xe+1]<<8},T.prototype.readUint16BE=T.prototype.readUInt16BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,2,this.length),this[xe]<<8|this[xe+1]},T.prototype.readUint32LE=T.prototype.readUInt32LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),(this[xe]|this[xe+1]<<8|this[xe+2]<<16)+this[xe+3]*16777216},T.prototype.readUint32BE=T.prototype.readUInt32BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]*16777216+(this[xe+1]<<16|this[xe+2]<<8|this[xe+3])},T.prototype.readBigUInt64LE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=Se+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24),Vt=this[++xe]+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+lt*Math.pow(2,24);return BigInt(Gt)+(BigInt(Vt)<<BigInt(32))}),T.prototype.readBigUInt64BE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=Se*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe],Vt=this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+lt;return(BigInt(Gt)<<BigInt(32))+BigInt(Vt)}),T.prototype.readIntLE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe],Vt=1,ar=0;++ar<Se&&(Vt*=256);)Gt+=this[xe+ar]*Vt;return Vt*=128,Gt>=Vt&&(Gt-=Math.pow(2,8*Se)),Gt},T.prototype.readIntBE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=Se,Vt=1,ar=this[xe+--Gt];Gt>0&&(Vt*=256);)ar+=this[xe+--Gt]*Vt;return Vt*=128,ar>=Vt&&(ar-=Math.pow(2,8*Se)),ar},T.prototype.readInt8=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,1,this.length),this[xe]&128?(255-this[xe]+1)*-1:this[xe]},T.prototype.readInt16LE=function(xe,Se){xe=xe>>>0,Se||Rt(xe,2,this.length);var lt=this[xe]|this[xe+1]<<8;return lt&32768?lt|4294901760:lt},T.prototype.readInt16BE=function(xe,Se){xe=xe>>>0,Se||Rt(xe,2,this.length);var lt=this[xe+1]|this[xe]<<8;return lt&32768?lt|4294901760:lt},T.prototype.readInt32LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]|this[xe+1]<<8|this[xe+2]<<16|this[xe+3]<<24},T.prototype.readInt32BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]<<24|this[xe+1]<<16|this[xe+2]<<8|this[xe+3]},T.prototype.readBigInt64LE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=this[xe+4]+this[xe+5]*Math.pow(2,8)+this[xe+6]*Math.pow(2,16)+(lt<<24);return(BigInt(Gt)<<BigInt(32))+BigInt(Se+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24))}),T.prototype.readBigInt64BE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=(Se<<24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe];return(BigInt(Gt)<<BigInt(32))+BigInt(this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+lt)}),T.prototype.readFloatLE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),_.read(this,xe,!0,23,4)},T.prototype.readFloatBE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),_.read(this,xe,!1,23,4)},T.prototype.readDoubleLE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,8,this.length),_.read(this,xe,!0,52,8)},T.prototype.readDoubleBE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,8,this.length),_.read(this,xe,!1,52,8)};function kt(Le,xe,Se,lt,Gt,Vt){if(!T.isBuffer(Le))throw new TypeError('\"buffer\" argument must be a Buffer instance');if(xe>Gt||xe<Vt)throw new RangeError('\"value\" argument is out of bounds');if(Se+lt>Le.length)throw new RangeError(\"Index out of range\")}T.prototype.writeUintLE=T.prototype.writeUIntLE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,lt=lt>>>0,!Gt){var Vt=Math.pow(2,8*lt)-1;kt(this,xe,Se,lt,Vt,0)}var ar=1,Qr=0;for(this[Se]=xe&255;++Qr<lt&&(ar*=256);)this[Se+Qr]=xe/ar&255;return Se+lt},T.prototype.writeUintBE=T.prototype.writeUIntBE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,lt=lt>>>0,!Gt){var Vt=Math.pow(2,8*lt)-1;kt(this,xe,Se,lt,Vt,0)}var ar=lt-1,Qr=1;for(this[Se+ar]=xe&255;--ar>=0&&(Qr*=256);)this[Se+ar]=xe/Qr&255;return Se+lt},T.prototype.writeUint8=T.prototype.writeUInt8=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,1,255,0),this[Se]=xe&255,Se+1},T.prototype.writeUint16LE=T.prototype.writeUInt16LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,65535,0),this[Se]=xe&255,this[Se+1]=xe>>>8,Se+2},T.prototype.writeUint16BE=T.prototype.writeUInt16BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,65535,0),this[Se]=xe>>>8,this[Se+1]=xe&255,Se+2},T.prototype.writeUint32LE=T.prototype.writeUInt32LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,4294967295,0),this[Se+3]=xe>>>24,this[Se+2]=xe>>>16,this[Se+1]=xe>>>8,this[Se]=xe&255,Se+4},T.prototype.writeUint32BE=T.prototype.writeUInt32BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,4294967295,0),this[Se]=xe>>>24,this[Se+1]=xe>>>16,this[Se+2]=xe>>>8,this[Se+3]=xe&255,Se+4};function Ct(Le,xe,Se,lt,Gt){Et(xe,lt,Gt,Le,Se,7);var Vt=Number(xe&BigInt(4294967295));Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt;var ar=Number(xe>>BigInt(32)&BigInt(4294967295));return Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,Se}function Yt(Le,xe,Se,lt,Gt){Et(xe,lt,Gt,Le,Se,7);var Vt=Number(xe&BigInt(4294967295));Le[Se+7]=Vt,Vt=Vt>>8,Le[Se+6]=Vt,Vt=Vt>>8,Le[Se+5]=Vt,Vt=Vt>>8,Le[Se+4]=Vt;var ar=Number(xe>>BigInt(32)&BigInt(4294967295));return Le[Se+3]=ar,ar=ar>>8,Le[Se+2]=ar,ar=ar>>8,Le[Se+1]=ar,ar=ar>>8,Le[Se]=ar,Se+8}T.prototype.writeBigUInt64LE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Ct(this,xe,Se,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeBigUInt64BE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Yt(this,xe,Se,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeIntLE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,!Gt){var Vt=Math.pow(2,8*lt-1);kt(this,xe,Se,lt,Vt-1,-Vt)}var ar=0,Qr=1,ai=0;for(this[Se]=xe&255;++ar<lt&&(Qr*=256);)xe<0&&ai===0&&this[Se+ar-1]!==0&&(ai=1),this[Se+ar]=(xe/Qr>>0)-ai&255;return Se+lt},T.prototype.writeIntBE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,!Gt){var Vt=Math.pow(2,8*lt-1);kt(this,xe,Se,lt,Vt-1,-Vt)}var ar=lt-1,Qr=1,ai=0;for(this[Se+ar]=xe&255;--ar>=0&&(Qr*=256);)xe<0&&ai===0&&this[Se+ar+1]!==0&&(ai=1),this[Se+ar]=(xe/Qr>>0)-ai&255;return Se+lt},T.prototype.writeInt8=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,1,127,-128),xe<0&&(xe=255+xe+1),this[Se]=xe&255,Se+1},T.prototype.writeInt16LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,32767,-32768),this[Se]=xe&255,this[Se+1]=xe>>>8,Se+2},T.prototype.writeInt16BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,32767,-32768),this[Se]=xe>>>8,this[Se+1]=xe&255,Se+2},T.prototype.writeInt32LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,2147483647,-2147483648),this[Se]=xe&255,this[Se+1]=xe>>>8,this[Se+2]=xe>>>16,this[Se+3]=xe>>>24,Se+4},T.prototype.writeInt32BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,2147483647,-2147483648),xe<0&&(xe=4294967295+xe+1),this[Se]=xe>>>24,this[Se+1]=xe>>>16,this[Se+2]=xe>>>8,this[Se+3]=xe&255,Se+4},T.prototype.writeBigInt64LE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Ct(this,xe,Se,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))}),T.prototype.writeBigInt64BE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Yt(this,xe,Se,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))});function xr(Le,xe,Se,lt,Gt,Vt){if(Se+lt>Le.length)throw new RangeError(\"Index out of range\");if(Se<0)throw new RangeError(\"Index out of range\")}function er(Le,xe,Se,lt,Gt){return xe=+xe,Se=Se>>>0,Gt||xr(Le,xe,Se,4,34028234663852886e22,-34028234663852886e22),_.write(Le,xe,Se,lt,23,4),Se+4}T.prototype.writeFloatLE=function(xe,Se,lt){return er(this,xe,Se,!0,lt)},T.prototype.writeFloatBE=function(xe,Se,lt){return er(this,xe,Se,!1,lt)};function Ke(Le,xe,Se,lt,Gt){return xe=+xe,Se=Se>>>0,Gt||xr(Le,xe,Se,8,17976931348623157e292,-17976931348623157e292),_.write(Le,xe,Se,lt,52,8),Se+8}T.prototype.writeDoubleLE=function(xe,Se,lt){return Ke(this,xe,Se,!0,lt)},T.prototype.writeDoubleBE=function(xe,Se,lt){return Ke(this,xe,Se,!1,lt)},T.prototype.copy=function(xe,Se,lt,Gt){if(!T.isBuffer(xe))throw new TypeError(\"argument should be a Buffer\");if(lt||(lt=0),!Gt&&Gt!==0&&(Gt=this.length),Se>=xe.length&&(Se=xe.length),Se||(Se=0),Gt>0&&Gt<lt&&(Gt=lt),Gt===lt||xe.length===0||this.length===0)return 0;if(Se<0)throw new RangeError(\"targetStart out of bounds\");if(lt<0||lt>=this.length)throw new RangeError(\"Index out of range\");if(Gt<0)throw new RangeError(\"sourceEnd out of bounds\");Gt>this.length&&(Gt=this.length),xe.length-Se<Gt-lt&&(Gt=xe.length-Se+lt);var Vt=Gt-lt;return this===xe&&typeof Uint8Array.prototype.copyWithin==\"function\"?this.copyWithin(Se,lt,Gt):Uint8Array.prototype.set.call(xe,this.subarray(lt,Gt),Se),Vt},T.prototype.fill=function(xe,Se,lt,Gt){if(typeof xe==\"string\"){if(typeof Se==\"string\"?(Gt=Se,Se=0,lt=this.length):typeof lt==\"string\"&&(Gt=lt,lt=this.length),Gt!==void 0&&typeof Gt!=\"string\")throw new TypeError(\"encoding must be a string\");if(typeof Gt==\"string\"&&!T.isEncoding(Gt))throw new TypeError(\"Unknown encoding: \"+Gt);if(xe.length===1){var Vt=xe.charCodeAt(0);(Gt===\"utf8\"&&Vt<128||Gt===\"latin1\")&&(xe=Vt)}}else typeof xe==\"number\"?xe=xe&255:typeof xe==\"boolean\"&&(xe=Number(xe));if(Se<0||this.length<Se||this.length<lt)throw new RangeError(\"Out of range index\");if(lt<=Se)return this;Se=Se>>>0,lt=lt===void 0?this.length:lt>>>0,xe||(xe=0);var ar;if(typeof xe==\"number\")for(ar=Se;ar<lt;++ar)this[ar]=xe;else{var Qr=T.isBuffer(xe)?xe:T.from(xe,Gt),ai=Qr.length;if(ai===0)throw new TypeError('The value \"'+xe+'\" is invalid for argument \"value\"');for(ar=0;ar<lt-Se;++ar)this[ar+Se]=Qr[ar%ai]}return this};var xt={};function bt(Le,xe,Se){xt[Le]=function(lt){function Gt(){var Vt;return l(this,Gt),Vt=d(this,Gt),Object.defineProperty(Vt,\"message\",{value:xe.apply(Vt,arguments),writable:!0,configurable:!0}),Vt.name=\"\".concat(Vt.name,\" [\").concat(Le,\"]\"),Vt.stack,delete Vt.name,Vt}return E(Gt,lt),c(Gt,[{key:\"code\",get:function(){return Le},set:function(ar){Object.defineProperty(this,\"code\",{configurable:!0,enumerable:!0,value:ar,writable:!0})}},{key:\"toString\",value:function(){return\"\".concat(this.name,\" [\").concat(Le,\"]: \").concat(this.message)}}])}(Se)}bt(\"ERR_BUFFER_OUT_OF_BOUNDS\",function(Le){return Le?\"\".concat(Le,\" is outside of buffer bounds\"):\"Attempt to access memory outside buffer bounds\"},RangeError),bt(\"ERR_INVALID_ARG_TYPE\",function(Le,xe){return'The \"'.concat(Le,'\" argument must be of type number. Received type ').concat(A(xe))},TypeError),bt(\"ERR_OUT_OF_RANGE\",function(Le,xe,Se){var lt='The value of \"'.concat(Le,'\" is out of range.'),Gt=Se;return Number.isInteger(Se)&&Math.abs(Se)>Math.pow(2,32)?Gt=Lt(String(Se)):typeof Se==\"bigint\"&&(Gt=String(Se),(Se>Math.pow(BigInt(2),BigInt(32))||Se<-Math.pow(BigInt(2),BigInt(32)))&&(Gt=Lt(Gt)),Gt+=\"n\"),lt+=\" It must be \".concat(xe,\". Received \").concat(Gt),lt},RangeError);function Lt(Le){for(var xe=\"\",Se=Le.length,lt=Le[0]===\"-\"?1:0;Se>=lt+4;Se-=3)xe=\"_\".concat(Le.slice(Se-3,Se)).concat(xe);return\"\".concat(Le.slice(0,Se)).concat(xe)}function St(Le,xe,Se){dt(xe,\"offset\"),(Le[xe]===void 0||Le[xe+Se]===void 0)&&Ht(xe,Le.length-(Se+1))}function Et(Le,xe,Se,lt,Gt,Vt){if(Le>Se||Le<xe){var ar=typeof xe==\"bigint\"?\"n\":\"\",Qr;throw Vt>3?xe===0||xe===BigInt(0)?Qr=\">= 0\".concat(ar,\" and < 2\").concat(ar,\" ** \").concat((Vt+1)*8).concat(ar):Qr=\">= -(2\".concat(ar,\" ** \").concat((Vt+1)*8-1).concat(ar,\") and < 2 ** \")+\"\".concat((Vt+1)*8-1).concat(ar):Qr=\">= \".concat(xe).concat(ar,\" and <= \").concat(Se).concat(ar),new xt.ERR_OUT_OF_RANGE(\"value\",Qr,Le)}St(lt,Gt,Vt)}function dt(Le,xe){if(typeof Le!=\"number\")throw new xt.ERR_INVALID_ARG_TYPE(xe,\"number\",Le)}function Ht(Le,xe,Se){throw Math.floor(Le)!==Le?(dt(Le,Se),new xt.ERR_OUT_OF_RANGE(Se||\"offset\",\"an integer\",Le)):xe<0?new xt.ERR_BUFFER_OUT_OF_BOUNDS:new xt.ERR_OUT_OF_RANGE(Se||\"offset\",\">= \".concat(Se?1:0,\" and <= \").concat(xe),Le)}var $t=/[^+/0-9A-Za-z-_]/g;function fr(Le){if(Le=Le.split(\"=\")[0],Le=Le.trim().replace($t,\"\"),Le.length<2)return\"\";for(;Le.length%4!==0;)Le=Le+\"=\";return Le}function _r(Le,xe){xe=xe||1/0;for(var Se,lt=Le.length,Gt=null,Vt=[],ar=0;ar<lt;++ar){if(Se=Le.charCodeAt(ar),Se>55295&&Se<57344){if(!Gt){if(Se>56319){(xe-=3)>-1&&Vt.push(239,191,189);continue}else if(ar+1===lt){(xe-=3)>-1&&Vt.push(239,191,189);continue}Gt=Se;continue}if(Se<56320){(xe-=3)>-1&&Vt.push(239,191,189),Gt=Se;continue}Se=(Gt-55296<<10|Se-56320)+65536}else Gt&&(xe-=3)>-1&&Vt.push(239,191,189);if(Gt=null,Se<128){if((xe-=1)<0)break;Vt.push(Se)}else if(Se<2048){if((xe-=2)<0)break;Vt.push(Se>>6|192,Se&63|128)}else if(Se<65536){if((xe-=3)<0)break;Vt.push(Se>>12|224,Se>>6&63|128,Se&63|128)}else if(Se<1114112){if((xe-=4)<0)break;Vt.push(Se>>18|240,Se>>12&63|128,Se>>6&63|128,Se&63|128)}else throw new Error(\"Invalid code point\")}return Vt}function Br(Le){for(var xe=[],Se=0;Se<Le.length;++Se)xe.push(Le.charCodeAt(Se)&255);return xe}function Or(Le,xe){for(var Se,lt,Gt,Vt=[],ar=0;ar<Le.length&&!((xe-=2)<0);++ar)Se=Le.charCodeAt(ar),lt=Se>>8,Gt=Se%256,Vt.push(Gt),Vt.push(lt);return Vt}function Nr(Le){return L.toByteArray(fr(Le))}function ut(Le,xe,Se,lt){var Gt;for(Gt=0;Gt<lt&&!(Gt+Se>=xe.length||Gt>=Le.length);++Gt)xe[Gt+Se]=Le[Gt];return Gt}function Ne(Le,xe){return Le instanceof xe||Le!=null&&Le.constructor!=null&&Le.constructor.name!=null&&Le.constructor.name===xe.name}function Ye(Le){return Le!==Le}var Ve=function(){for(var Le=\"0123456789abcdef\",xe=new Array(256),Se=0;Se<16;++Se)for(var lt=Se*16,Gt=0;Gt<16;++Gt)xe[lt+Gt]=Le[Se]+Le[Gt];return xe}();function Xe(Le){return typeof BigInt==\"undefined\"?ht:Le}function ht(){throw new Error(\"BigInt not supported\")}},9216:function(i){\"use strict\";i.exports=l,i.exports.isMobile=l,i.exports.default=l;var a=/(android|bb\\d+|meego).+mobile|armv7l|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|samsungbrowser.*mobile|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,o=/CrOS/,s=/android|ipad|playbook|silk/i;function l(u){u||(u={});var c=u.ua;if(!c&&typeof navigator!=\"undefined\"&&(c=navigator.userAgent),c&&c.headers&&typeof c.headers[\"user-agent\"]==\"string\"&&(c=c.headers[\"user-agent\"]),typeof c!=\"string\")return!1;var f=a.test(c)&&!o.test(c)||!!u.tablet&&s.test(c);return!f&&u.tablet&&u.featureDetect&&navigator&&navigator.maxTouchPoints>1&&c.indexOf(\"Macintosh\")!==-1&&c.indexOf(\"Safari\")!==-1&&(f=!0),f}},6296:function(i,a,o){\"use strict\";i.exports=h;var s=o(7261),l=o(9977),u=o(1811);function c(d,v){this._controllerNames=Object.keys(d),this._controllerList=this._controllerNames.map(function(x){return d[x]}),this._mode=v,this._active=d[v],this._active||(this._mode=\"turntable\",this._active=d.turntable),this.modes=this._controllerNames,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}var f=c.prototype;f.flush=function(d){for(var v=this._controllerList,x=0;x<v.length;++x)v[x].flush(d)},f.idle=function(d){for(var v=this._controllerList,x=0;x<v.length;++x)v[x].idle(d)},f.lookAt=function(d,v,x,b){for(var g=this._controllerList,E=0;E<g.length;++E)g[E].lookAt(d,v,x,b)},f.rotate=function(d,v,x,b){for(var g=this._controllerList,E=0;E<g.length;++E)g[E].rotate(d,v,x,b)},f.pan=function(d,v,x,b){for(var g=this._controllerList,E=0;E<g.length;++E)g[E].pan(d,v,x,b)},f.translate=function(d,v,x,b){for(var g=this._controllerList,E=0;E<g.length;++E)g[E].translate(d,v,x,b)},f.setMatrix=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setMatrix(d,v)},f.setDistanceLimits=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setDistanceLimits(d,v)},f.setDistance=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setDistance(d,v)},f.recalcMatrix=function(d){this._active.recalcMatrix(d)},f.getDistance=function(d){return this._active.getDistance(d)},f.getDistanceLimits=function(d){return this._active.getDistanceLimits(d)},f.lastT=function(){return this._active.lastT()},f.setMode=function(d){if(d!==this._mode){var v=this._controllerNames.indexOf(d);if(!(v<0)){var 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b=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],g=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],E=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];f.prototype.toString=function(N,W){N=N||10,W=W|0||1;var re;if(N===16||N===\"hex\"){re=\"\";for(var ae=0,_e=0,Me=0;Me<this.length;Me++){var ke=this.words[Me],ge=((ke<<ae|_e)&16777215).toString(16);_e=ke>>>24-ae&16777215,_e!==0||Me!==this.length-1?re=b[6-ge.length]+ge+re:re=ge+re,ae+=2,ae>=26&&(ae-=26,Me--)}for(_e!==0&&(re=_e.toString(16)+re);re.length%W!==0;)re=\"0\"+re;return this.negative!==0&&(re=\"-\"+re),re}if(N===(N|0)&&N>=2&&N<=36){var ie=g[N],Te=E[N];re=\"\";var Ee=this.clone();for(Ee.negative=0;!Ee.isZero();){var Ae=Ee.modn(Te).toString(N);Ee=Ee.idivn(Te),Ee.isZero()?re=Ae+re:re=b[ie-Ae.length]+Ae+re}for(this.isZero()&&(re=\"0\"+re);re.length%W!==0;)re=\"0\"+re;return this.negative!==0&&(re=\"-\"+re),re}u(!1,\"Base should be between 2 and 36\")},f.prototype.toNumber=function(){var N=this.words[0];return this.length===2?N+=this.words[1]*67108864:this.length===3&&this.words[2]===1?N+=4503599627370496+this.words[1]*67108864:this.length>2&&u(!1,\"Number can only safely store up to 53 bits\"),this.negative!==0?-N:N},f.prototype.toJSON=function(){return this.toString(16)},f.prototype.toBuffer=function(N,W){return u(typeof h!=\"undefined\"),this.toArrayLike(h,N,W)},f.prototype.toArray=function(N,W){return this.toArrayLike(Array,N,W)},f.prototype.toArrayLike=function(N,W,re){var ae=this.byteLength(),_e=re||Math.max(1,ae);u(ae<=_e,\"byte array longer than desired length\"),u(_e>0,\"Requested array length <= 0\"),this.strip();var Me=W===\"le\",ke=new N(_e),ge,ie,Te=this.clone();if(Me){for(ie=0;!Te.isZero();ie++)ge=Te.andln(255),Te.iushrn(8),ke[ie]=ge;for(;ie<_e;ie++)ke[ie]=0}else{for(ie=0;ie<_e-ae;ie++)ke[ie]=0;for(ie=0;!Te.isZero();ie++)ge=Te.andln(255),Te.iushrn(8),ke[_e-ie-1]=ge}return ke},Math.clz32?f.prototype._countBits=function(N){return 32-Math.clz32(N)}:f.prototype._countBits=function(N){var W=N,re=0;return W>=4096&&(re+=13,W>>>=13),W>=64&&(re+=7,W>>>=7),W>=8&&(re+=4,W>>>=4),W>=2&&(re+=2,W>>>=2),re+W},f.prototype._zeroBits=function(N){if(N===0)return 26;var W=N,re=0;return W&8191||(re+=13,W>>>=13),W&127||(re+=7,W>>>=7),W&15||(re+=4,W>>>=4),W&3||(re+=2,W>>>=2),W&1||re++,re},f.prototype.bitLength=function(){var N=this.words[this.length-1],W=this._countBits(N);return(this.length-1)*26+W};function k(G){for(var N=new Array(G.bitLength()),W=0;W<N.length;W++){var re=W/26|0,ae=W%26;N[W]=(G.words[re]&1<<ae)>>>ae}return N}f.prototype.zeroBits=function(){if(this.isZero())return 0;for(var N=0,W=0;W<this.length;W++){var re=this._zeroBits(this.words[W]);if(N+=re,re!==26)break}return N},f.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},f.prototype.toTwos=function(N){return this.negative!==0?this.abs().inotn(N).iaddn(1):this.clone()},f.prototype.fromTwos=function(N){return this.testn(N-1)?this.notn(N).iaddn(1).ineg():this.clone()},f.prototype.isNeg=function(){return this.negative!==0},f.prototype.neg=function(){return this.clone().ineg()},f.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},f.prototype.iuor=function(N){for(;this.length<N.length;)this.words[this.length++]=0;for(var W=0;W<N.length;W++)this.words[W]=this.words[W]|N.words[W];return this.strip()},f.prototype.ior=function(N){return u((this.negative|N.negative)===0),this.iuor(N)},f.prototype.or=function(N){return this.length>N.length?this.clone().ior(N):N.clone().ior(this)},f.prototype.uor=function(N){return this.length>N.length?this.clone().iuor(N):N.clone().iuor(this)},f.prototype.iuand=function(N){var W;this.length>N.length?W=N:W=this;for(var re=0;re<W.length;re++)this.words[re]=this.words[re]&N.words[re];return this.length=W.length,this.strip()},f.prototype.iand=function(N){return u((this.negative|N.negative)===0),this.iuand(N)},f.prototype.and=function(N){return this.length>N.length?this.clone().iand(N):N.clone().iand(this)},f.prototype.uand=function(N){return this.length>N.length?this.clone().iuand(N):N.clone().iuand(this)},f.prototype.iuxor=function(N){var W,re;this.length>N.length?(W=this,re=N):(W=N,re=this);for(var ae=0;ae<re.length;ae++)this.words[ae]=W.words[ae]^re.words[ae];if(this!==W)for(;ae<W.length;ae++)this.words[ae]=W.words[ae];return this.length=W.length,this.strip()},f.prototype.ixor=function(N){return u((this.negative|N.negative)===0),this.iuxor(N)},f.prototype.xor=function(N){return this.length>N.length?this.clone().ixor(N):N.clone().ixor(this)},f.prototype.uxor=function(N){return this.length>N.length?this.clone().iuxor(N):N.clone().iuxor(this)},f.prototype.inotn=function(N){u(typeof N==\"number\"&&N>=0);var W=Math.ceil(N/26)|0,re=N%26;this._expand(W),re>0&&W--;for(var ae=0;ae<W;ae++)this.words[ae]=~this.words[ae]&67108863;return re>0&&(this.words[ae]=~this.words[ae]&67108863>>26-re),this.strip()},f.prototype.notn=function(N){return this.clone().inotn(N)},f.prototype.setn=function(N,W){u(typeof N==\"number\"&&N>=0);var re=N/26|0,ae=N%26;return this._expand(re+1),W?this.words[re]=this.words[re]|1<<ae:this.words[re]=this.words[re]&~(1<<ae),this.strip()},f.prototype.iadd=function(N){var W;if(this.negative!==0&&N.negative===0)return this.negative=0,W=this.isub(N),this.negative^=1,this._normSign();if(this.negative===0&&N.negative!==0)return N.negative=0,W=this.isub(N),N.negative=1,W._normSign();var re,ae;this.length>N.length?(re=this,ae=N):(re=N,ae=this);for(var _e=0,Me=0;Me<ae.length;Me++)W=(re.words[Me]|0)+(ae.words[Me]|0)+_e,this.words[Me]=W&67108863,_e=W>>>26;for(;_e!==0&&Me<re.length;Me++)W=(re.words[Me]|0)+_e,this.words[Me]=W&67108863,_e=W>>>26;if(this.length=re.length,_e!==0)this.words[this.length]=_e,this.length++;else if(re!==this)for(;Me<re.length;Me++)this.words[Me]=re.words[Me];return this},f.prototype.add=function(N){var W;return N.negative!==0&&this.negative===0?(N.negative=0,W=this.sub(N),N.negative^=1,W):N.negative===0&&this.negative!==0?(this.negative=0,W=N.sub(this),this.negative=1,W):this.length>N.length?this.clone().iadd(N):N.clone().iadd(this)},f.prototype.isub=function(N){if(N.negative!==0){N.negative=0;var W=this.iadd(N);return N.negative=1,W._normSign()}else if(this.negative!==0)return this.negative=0,this.iadd(N),this.negative=1,this._normSign();var re=this.cmp(N);if(re===0)return this.negative=0,this.length=1,this.words[0]=0,this;var ae,_e;re>0?(ae=this,_e=N):(ae=N,_e=this);for(var Me=0,ke=0;ke<_e.length;ke++)W=(ae.words[ke]|0)-(_e.words[ke]|0)+Me,Me=W>>26,this.words[ke]=W&67108863;for(;Me!==0&&ke<ae.length;ke++)W=(ae.words[ke]|0)+Me,Me=W>>26,this.words[ke]=W&67108863;if(Me===0&&ke<ae.length&&ae!==this)for(;ke<ae.length;ke++)this.words[ke]=ae.words[ke];return this.length=Math.max(this.length,ke),ae!==this&&(this.negative=1),this.strip()},f.prototype.sub=function(N){return this.clone().isub(N)};function A(G,N,W){W.negative=N.negative^G.negative;var re=G.length+N.length|0;W.length=re,re=re-1|0;var ae=G.words[0]|0,_e=N.words[0]|0,Me=ae*_e,ke=Me&67108863,ge=Me/67108864|0;W.words[0]=ke;for(var ie=1;ie<re;ie++){for(var Te=ge>>>26,Ee=ge&67108863,Ae=Math.min(ie,N.length-1),ze=Math.max(0,ie-G.length+1);ze<=Ae;ze++){var Ce=ie-ze|0;ae=G.words[Ce]|0,_e=N.words[ze]|0,Me=ae*_e+Ee,Te+=Me/67108864|0,Ee=Me&67108863}W.words[ie]=Ee|0,ge=Te|0}return ge!==0?W.words[ie]=ge|0:W.length--,W.strip()}var L=function(N,W,re){var ae=N.words,_e=W.words,Me=re.words,ke=0,ge,ie,Te,Ee=ae[0]|0,Ae=Ee&8191,ze=Ee>>>13,Ce=ae[1]|0,me=Ce&8191,Re=Ce>>>13,ce=ae[2]|0,Ge=ce&8191,nt=ce>>>13,ct=ae[3]|0,qt=ct&8191,rt=ct>>>13,ot=ae[4]|0,Rt=ot&8191,kt=ot>>>13,Ct=ae[5]|0,Yt=Ct&8191,xr=Ct>>>13,er=ae[6]|0,Ke=er&8191,xt=er>>>13,bt=ae[7]|0,Lt=bt&8191,St=bt>>>13,Et=ae[8]|0,dt=Et&8191,Ht=Et>>>13,$t=ae[9]|0,fr=$t&8191,_r=$t>>>13,Br=_e[0]|0,Or=Br&8191,Nr=Br>>>13,ut=_e[1]|0,Ne=ut&8191,Ye=ut>>>13,Ve=_e[2]|0,Xe=Ve&8191,ht=Ve>>>13,Le=_e[3]|0,xe=Le&8191,Se=Le>>>13,lt=_e[4]|0,Gt=lt&8191,Vt=lt>>>13,ar=_e[5]|0,Qr=ar&8191,ai=ar>>>13,jr=_e[6]|0,ri=jr&8191,bi=jr>>>13,nn=_e[7]|0,Wi=nn&8191,Ni=nn>>>13,_n=_e[8]|0,$i=_n&8191,zn=_n>>>13,Wn=_e[9]|0,It=Wn&8191,ft=Wn>>>13;re.negative=N.negative^W.negative,re.length=19,ge=Math.imul(Ae,Or),ie=Math.imul(Ae,Nr),ie=ie+Math.imul(ze,Or)|0,Te=Math.imul(ze,Nr);var jt=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jt>>>26)|0,jt&=67108863,ge=Math.imul(me,Or),ie=Math.imul(me,Nr),ie=ie+Math.imul(Re,Or)|0,Te=Math.imul(Re,Nr),ge=ge+Math.imul(Ae,Ne)|0,ie=ie+Math.imul(Ae,Ye)|0,ie=ie+Math.imul(ze,Ne)|0,Te=Te+Math.imul(ze,Ye)|0;var Zt=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Zt>>>26)|0,Zt&=67108863,ge=Math.imul(Ge,Or),ie=Math.imul(Ge,Nr),ie=ie+Math.imul(nt,Or)|0,Te=Math.imul(nt,Nr),ge=ge+Math.imul(me,Ne)|0,ie=ie+Math.imul(me,Ye)|0,ie=ie+Math.imul(Re,Ne)|0,Te=Te+Math.imul(Re,Ye)|0,ge=ge+Math.imul(Ae,Xe)|0,ie=ie+Math.imul(Ae,ht)|0,ie=ie+Math.imul(ze,Xe)|0,Te=Te+Math.imul(ze,ht)|0;var yr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(yr>>>26)|0,yr&=67108863,ge=Math.imul(qt,Or),ie=Math.imul(qt,Nr),ie=ie+Math.imul(rt,Or)|0,Te=Math.imul(rt,Nr),ge=ge+Math.imul(Ge,Ne)|0,ie=ie+Math.imul(Ge,Ye)|0,ie=ie+Math.imul(nt,Ne)|0,Te=Te+Math.imul(nt,Ye)|0,ge=ge+Math.imul(me,Xe)|0,ie=ie+Math.imul(me,ht)|0,ie=ie+Math.imul(Re,Xe)|0,Te=Te+Math.imul(Re,ht)|0,ge=ge+Math.imul(Ae,xe)|0,ie=ie+Math.imul(Ae,Se)|0,ie=ie+Math.imul(ze,xe)|0,Te=Te+Math.imul(ze,Se)|0;var Fr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Fr>>>26)|0,Fr&=67108863,ge=Math.imul(Rt,Or),ie=Math.imul(Rt,Nr),ie=ie+Math.imul(kt,Or)|0,Te=Math.imul(kt,Nr),ge=ge+Math.imul(qt,Ne)|0,ie=ie+Math.imul(qt,Ye)|0,ie=ie+Math.imul(rt,Ne)|0,Te=Te+Math.imul(rt,Ye)|0,ge=ge+Math.imul(Ge,Xe)|0,ie=ie+Math.imul(Ge,ht)|0,ie=ie+Math.imul(nt,Xe)|0,Te=Te+Math.imul(nt,ht)|0,ge=ge+Math.imul(me,xe)|0,ie=ie+Math.imul(me,Se)|0,ie=ie+Math.imul(Re,xe)|0,Te=Te+Math.imul(Re,Se)|0,ge=ge+Math.imul(Ae,Gt)|0,ie=ie+Math.imul(Ae,Vt)|0,ie=ie+Math.imul(ze,Gt)|0,Te=Te+Math.imul(ze,Vt)|0;var Zr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Zr>>>26)|0,Zr&=67108863,ge=Math.imul(Yt,Or),ie=Math.imul(Yt,Nr),ie=ie+Math.imul(xr,Or)|0,Te=Math.imul(xr,Nr),ge=ge+Math.imul(Rt,Ne)|0,ie=ie+Math.imul(Rt,Ye)|0,ie=ie+Math.imul(kt,Ne)|0,Te=Te+Math.imul(kt,Ye)|0,ge=ge+Math.imul(qt,Xe)|0,ie=ie+Math.imul(qt,ht)|0,ie=ie+Math.imul(rt,Xe)|0,Te=Te+Math.imul(rt,ht)|0,ge=ge+Math.imul(Ge,xe)|0,ie=ie+Math.imul(Ge,Se)|0,ie=ie+Math.imul(nt,xe)|0,Te=Te+Math.imul(nt,Se)|0,ge=ge+Math.imul(me,Gt)|0,ie=ie+Math.imul(me,Vt)|0,ie=ie+Math.imul(Re,Gt)|0,Te=Te+Math.imul(Re,Vt)|0,ge=ge+Math.imul(Ae,Qr)|0,ie=ie+Math.imul(Ae,ai)|0,ie=ie+Math.imul(ze,Qr)|0,Te=Te+Math.imul(ze,ai)|0;var Vr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Vr>>>26)|0,Vr&=67108863,ge=Math.imul(Ke,Or),ie=Math.imul(Ke,Nr),ie=ie+Math.imul(xt,Or)|0,Te=Math.imul(xt,Nr),ge=ge+Math.imul(Yt,Ne)|0,ie=ie+Math.imul(Yt,Ye)|0,ie=ie+Math.imul(xr,Ne)|0,Te=Te+Math.imul(xr,Ye)|0,ge=ge+Math.imul(Rt,Xe)|0,ie=ie+Math.imul(Rt,ht)|0,ie=ie+Math.imul(kt,Xe)|0,Te=Te+Math.imul(kt,ht)|0,ge=ge+Math.imul(qt,xe)|0,ie=ie+Math.imul(qt,Se)|0,ie=ie+Math.imul(rt,xe)|0,Te=Te+Math.imul(rt,Se)|0,ge=ge+Math.imul(Ge,Gt)|0,ie=ie+Math.imul(Ge,Vt)|0,ie=ie+Math.imul(nt,Gt)|0,Te=Te+Math.imul(nt,Vt)|0,ge=ge+Math.imul(me,Qr)|0,ie=ie+Math.imul(me,ai)|0,ie=ie+Math.imul(Re,Qr)|0,Te=Te+Math.imul(Re,ai)|0,ge=ge+Math.imul(Ae,ri)|0,ie=ie+Math.imul(Ae,bi)|0,ie=ie+Math.imul(ze,ri)|0,Te=Te+Math.imul(ze,bi)|0;var gi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(gi>>>26)|0,gi&=67108863,ge=Math.imul(Lt,Or),ie=Math.imul(Lt,Nr),ie=ie+Math.imul(St,Or)|0,Te=Math.imul(St,Nr),ge=ge+Math.imul(Ke,Ne)|0,ie=ie+Math.imul(Ke,Ye)|0,ie=ie+Math.imul(xt,Ne)|0,Te=Te+Math.imul(xt,Ye)|0,ge=ge+Math.imul(Yt,Xe)|0,ie=ie+Math.imul(Yt,ht)|0,ie=ie+Math.imul(xr,Xe)|0,Te=Te+Math.imul(xr,ht)|0,ge=ge+Math.imul(Rt,xe)|0,ie=ie+Math.imul(Rt,Se)|0,ie=ie+Math.imul(kt,xe)|0,Te=Te+Math.imul(kt,Se)|0,ge=ge+Math.imul(qt,Gt)|0,ie=ie+Math.imul(qt,Vt)|0,ie=ie+Math.imul(rt,Gt)|0,Te=Te+Math.imul(rt,Vt)|0,ge=ge+Math.imul(Ge,Qr)|0,ie=ie+Math.imul(Ge,ai)|0,ie=ie+Math.imul(nt,Qr)|0,Te=Te+Math.imul(nt,ai)|0,ge=ge+Math.imul(me,ri)|0,ie=ie+Math.imul(me,bi)|0,ie=ie+Math.imul(Re,ri)|0,Te=Te+Math.imul(Re,bi)|0,ge=ge+Math.imul(Ae,Wi)|0,ie=ie+Math.imul(Ae,Ni)|0,ie=ie+Math.imul(ze,Wi)|0,Te=Te+Math.imul(ze,Ni)|0;var Si=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Si>>>26)|0,Si&=67108863,ge=Math.imul(dt,Or),ie=Math.imul(dt,Nr),ie=ie+Math.imul(Ht,Or)|0,Te=Math.imul(Ht,Nr),ge=ge+Math.imul(Lt,Ne)|0,ie=ie+Math.imul(Lt,Ye)|0,ie=ie+Math.imul(St,Ne)|0,Te=Te+Math.imul(St,Ye)|0,ge=ge+Math.imul(Ke,Xe)|0,ie=ie+Math.imul(Ke,ht)|0,ie=ie+Math.imul(xt,Xe)|0,Te=Te+Math.imul(xt,ht)|0,ge=ge+Math.imul(Yt,xe)|0,ie=ie+Math.imul(Yt,Se)|0,ie=ie+Math.imul(xr,xe)|0,Te=Te+Math.imul(xr,Se)|0,ge=ge+Math.imul(Rt,Gt)|0,ie=ie+Math.imul(Rt,Vt)|0,ie=ie+Math.imul(kt,Gt)|0,Te=Te+Math.imul(kt,Vt)|0,ge=ge+Math.imul(qt,Qr)|0,ie=ie+Math.imul(qt,ai)|0,ie=ie+Math.imul(rt,Qr)|0,Te=Te+Math.imul(rt,ai)|0,ge=ge+Math.imul(Ge,ri)|0,ie=ie+Math.imul(Ge,bi)|0,ie=ie+Math.imul(nt,ri)|0,Te=Te+Math.imul(nt,bi)|0,ge=ge+Math.imul(me,Wi)|0,ie=ie+Math.imul(me,Ni)|0,ie=ie+Math.imul(Re,Wi)|0,Te=Te+Math.imul(Re,Ni)|0,ge=ge+Math.imul(Ae,$i)|0,ie=ie+Math.imul(Ae,zn)|0,ie=ie+Math.imul(ze,$i)|0,Te=Te+Math.imul(ze,zn)|0;var Mi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Mi>>>26)|0,Mi&=67108863,ge=Math.imul(fr,Or),ie=Math.imul(fr,Nr),ie=ie+Math.imul(_r,Or)|0,Te=Math.imul(_r,Nr),ge=ge+Math.imul(dt,Ne)|0,ie=ie+Math.imul(dt,Ye)|0,ie=ie+Math.imul(Ht,Ne)|0,Te=Te+Math.imul(Ht,Ye)|0,ge=ge+Math.imul(Lt,Xe)|0,ie=ie+Math.imul(Lt,ht)|0,ie=ie+Math.imul(St,Xe)|0,Te=Te+Math.imul(St,ht)|0,ge=ge+Math.imul(Ke,xe)|0,ie=ie+Math.imul(Ke,Se)|0,ie=ie+Math.imul(xt,xe)|0,Te=Te+Math.imul(xt,Se)|0,ge=ge+Math.imul(Yt,Gt)|0,ie=ie+Math.imul(Yt,Vt)|0,ie=ie+Math.imul(xr,Gt)|0,Te=Te+Math.imul(xr,Vt)|0,ge=ge+Math.imul(Rt,Qr)|0,ie=ie+Math.imul(Rt,ai)|0,ie=ie+Math.imul(kt,Qr)|0,Te=Te+Math.imul(kt,ai)|0,ge=ge+Math.imul(qt,ri)|0,ie=ie+Math.imul(qt,bi)|0,ie=ie+Math.imul(rt,ri)|0,Te=Te+Math.imul(rt,bi)|0,ge=ge+Math.imul(Ge,Wi)|0,ie=ie+Math.imul(Ge,Ni)|0,ie=ie+Math.imul(nt,Wi)|0,Te=Te+Math.imul(nt,Ni)|0,ge=ge+Math.imul(me,$i)|0,ie=ie+Math.imul(me,zn)|0,ie=ie+Math.imul(Re,$i)|0,Te=Te+Math.imul(Re,zn)|0,ge=ge+Math.imul(Ae,It)|0,ie=ie+Math.imul(Ae,ft)|0,ie=ie+Math.imul(ze,It)|0,Te=Te+Math.imul(ze,ft)|0;var Pi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Pi>>>26)|0,Pi&=67108863,ge=Math.imul(fr,Ne),ie=Math.imul(fr,Ye),ie=ie+Math.imul(_r,Ne)|0,Te=Math.imul(_r,Ye),ge=ge+Math.imul(dt,Xe)|0,ie=ie+Math.imul(dt,ht)|0,ie=ie+Math.imul(Ht,Xe)|0,Te=Te+Math.imul(Ht,ht)|0,ge=ge+Math.imul(Lt,xe)|0,ie=ie+Math.imul(Lt,Se)|0,ie=ie+Math.imul(St,xe)|0,Te=Te+Math.imul(St,Se)|0,ge=ge+Math.imul(Ke,Gt)|0,ie=ie+Math.imul(Ke,Vt)|0,ie=ie+Math.imul(xt,Gt)|0,Te=Te+Math.imul(xt,Vt)|0,ge=ge+Math.imul(Yt,Qr)|0,ie=ie+Math.imul(Yt,ai)|0,ie=ie+Math.imul(xr,Qr)|0,Te=Te+Math.imul(xr,ai)|0,ge=ge+Math.imul(Rt,ri)|0,ie=ie+Math.imul(Rt,bi)|0,ie=ie+Math.imul(kt,ri)|0,Te=Te+Math.imul(kt,bi)|0,ge=ge+Math.imul(qt,Wi)|0,ie=ie+Math.imul(qt,Ni)|0,ie=ie+Math.imul(rt,Wi)|0,Te=Te+Math.imul(rt,Ni)|0,ge=ge+Math.imul(Ge,$i)|0,ie=ie+Math.imul(Ge,zn)|0,ie=ie+Math.imul(nt,$i)|0,Te=Te+Math.imul(nt,zn)|0,ge=ge+Math.imul(me,It)|0,ie=ie+Math.imul(me,ft)|0,ie=ie+Math.imul(Re,It)|0,Te=Te+Math.imul(Re,ft)|0;var Gi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Gi>>>26)|0,Gi&=67108863,ge=Math.imul(fr,Xe),ie=Math.imul(fr,ht),ie=ie+Math.imul(_r,Xe)|0,Te=Math.imul(_r,ht),ge=ge+Math.imul(dt,xe)|0,ie=ie+Math.imul(dt,Se)|0,ie=ie+Math.imul(Ht,xe)|0,Te=Te+Math.imul(Ht,Se)|0,ge=ge+Math.imul(Lt,Gt)|0,ie=ie+Math.imul(Lt,Vt)|0,ie=ie+Math.imul(St,Gt)|0,Te=Te+Math.imul(St,Vt)|0,ge=ge+Math.imul(Ke,Qr)|0,ie=ie+Math.imul(Ke,ai)|0,ie=ie+Math.imul(xt,Qr)|0,Te=Te+Math.imul(xt,ai)|0,ge=ge+Math.imul(Yt,ri)|0,ie=ie+Math.imul(Yt,bi)|0,ie=ie+Math.imul(xr,ri)|0,Te=Te+Math.imul(xr,bi)|0,ge=ge+Math.imul(Rt,Wi)|0,ie=ie+Math.imul(Rt,Ni)|0,ie=ie+Math.imul(kt,Wi)|0,Te=Te+Math.imul(kt,Ni)|0,ge=ge+Math.imul(qt,$i)|0,ie=ie+Math.imul(qt,zn)|0,ie=ie+Math.imul(rt,$i)|0,Te=Te+Math.imul(rt,zn)|0,ge=ge+Math.imul(Ge,It)|0,ie=ie+Math.imul(Ge,ft)|0,ie=ie+Math.imul(nt,It)|0,Te=Te+Math.imul(nt,ft)|0;var Ki=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Ki>>>26)|0,Ki&=67108863,ge=Math.imul(fr,xe),ie=Math.imul(fr,Se),ie=ie+Math.imul(_r,xe)|0,Te=Math.imul(_r,Se),ge=ge+Math.imul(dt,Gt)|0,ie=ie+Math.imul(dt,Vt)|0,ie=ie+Math.imul(Ht,Gt)|0,Te=Te+Math.imul(Ht,Vt)|0,ge=ge+Math.imul(Lt,Qr)|0,ie=ie+Math.imul(Lt,ai)|0,ie=ie+Math.imul(St,Qr)|0,Te=Te+Math.imul(St,ai)|0,ge=ge+Math.imul(Ke,ri)|0,ie=ie+Math.imul(Ke,bi)|0,ie=ie+Math.imul(xt,ri)|0,Te=Te+Math.imul(xt,bi)|0,ge=ge+Math.imul(Yt,Wi)|0,ie=ie+Math.imul(Yt,Ni)|0,ie=ie+Math.imul(xr,Wi)|0,Te=Te+Math.imul(xr,Ni)|0,ge=ge+Math.imul(Rt,$i)|0,ie=ie+Math.imul(Rt,zn)|0,ie=ie+Math.imul(kt,$i)|0,Te=Te+Math.imul(kt,zn)|0,ge=ge+Math.imul(qt,It)|0,ie=ie+Math.imul(qt,ft)|0,ie=ie+Math.imul(rt,It)|0,Te=Te+Math.imul(rt,ft)|0;var ka=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(ka>>>26)|0,ka&=67108863,ge=Math.imul(fr,Gt),ie=Math.imul(fr,Vt),ie=ie+Math.imul(_r,Gt)|0,Te=Math.imul(_r,Vt),ge=ge+Math.imul(dt,Qr)|0,ie=ie+Math.imul(dt,ai)|0,ie=ie+Math.imul(Ht,Qr)|0,Te=Te+Math.imul(Ht,ai)|0,ge=ge+Math.imul(Lt,ri)|0,ie=ie+Math.imul(Lt,bi)|0,ie=ie+Math.imul(St,ri)|0,Te=Te+Math.imul(St,bi)|0,ge=ge+Math.imul(Ke,Wi)|0,ie=ie+Math.imul(Ke,Ni)|0,ie=ie+Math.imul(xt,Wi)|0,Te=Te+Math.imul(xt,Ni)|0,ge=ge+Math.imul(Yt,$i)|0,ie=ie+Math.imul(Yt,zn)|0,ie=ie+Math.imul(xr,$i)|0,Te=Te+Math.imul(xr,zn)|0,ge=ge+Math.imul(Rt,It)|0,ie=ie+Math.imul(Rt,ft)|0,ie=ie+Math.imul(kt,It)|0,Te=Te+Math.imul(kt,ft)|0;var jn=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jn>>>26)|0,jn&=67108863,ge=Math.imul(fr,Qr),ie=Math.imul(fr,ai),ie=ie+Math.imul(_r,Qr)|0,Te=Math.imul(_r,ai),ge=ge+Math.imul(dt,ri)|0,ie=ie+Math.imul(dt,bi)|0,ie=ie+Math.imul(Ht,ri)|0,Te=Te+Math.imul(Ht,bi)|0,ge=ge+Math.imul(Lt,Wi)|0,ie=ie+Math.imul(Lt,Ni)|0,ie=ie+Math.imul(St,Wi)|0,Te=Te+Math.imul(St,Ni)|0,ge=ge+Math.imul(Ke,$i)|0,ie=ie+Math.imul(Ke,zn)|0,ie=ie+Math.imul(xt,$i)|0,Te=Te+Math.imul(xt,zn)|0,ge=ge+Math.imul(Yt,It)|0,ie=ie+Math.imul(Yt,ft)|0,ie=ie+Math.imul(xr,It)|0,Te=Te+Math.imul(xr,ft)|0;var la=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(la>>>26)|0,la&=67108863,ge=Math.imul(fr,ri),ie=Math.imul(fr,bi),ie=ie+Math.imul(_r,ri)|0,Te=Math.imul(_r,bi),ge=ge+Math.imul(dt,Wi)|0,ie=ie+Math.imul(dt,Ni)|0,ie=ie+Math.imul(Ht,Wi)|0,Te=Te+Math.imul(Ht,Ni)|0,ge=ge+Math.imul(Lt,$i)|0,ie=ie+Math.imul(Lt,zn)|0,ie=ie+Math.imul(St,$i)|0,Te=Te+Math.imul(St,zn)|0,ge=ge+Math.imul(Ke,It)|0,ie=ie+Math.imul(Ke,ft)|0,ie=ie+Math.imul(xt,It)|0,Te=Te+Math.imul(xt,ft)|0;var Fa=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Fa>>>26)|0,Fa&=67108863,ge=Math.imul(fr,Wi),ie=Math.imul(fr,Ni),ie=ie+Math.imul(_r,Wi)|0,Te=Math.imul(_r,Ni),ge=ge+Math.imul(dt,$i)|0,ie=ie+Math.imul(dt,zn)|0,ie=ie+Math.imul(Ht,$i)|0,Te=Te+Math.imul(Ht,zn)|0,ge=ge+Math.imul(Lt,It)|0,ie=ie+Math.imul(Lt,ft)|0,ie=ie+Math.imul(St,It)|0,Te=Te+Math.imul(St,ft)|0;var Ra=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Ra>>>26)|0,Ra&=67108863,ge=Math.imul(fr,$i),ie=Math.imul(fr,zn),ie=ie+Math.imul(_r,$i)|0,Te=Math.imul(_r,zn),ge=ge+Math.imul(dt,It)|0,ie=ie+Math.imul(dt,ft)|0,ie=ie+Math.imul(Ht,It)|0,Te=Te+Math.imul(Ht,ft)|0;var jo=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jo>>>26)|0,jo&=67108863,ge=Math.imul(fr,It),ie=Math.imul(fr,ft),ie=ie+Math.imul(_r,It)|0,Te=Math.imul(_r,ft);var oa=(ke+ge|0)+((ie&8191)<<13)|0;return ke=(Te+(ie>>>13)|0)+(oa>>>26)|0,oa&=67108863,Me[0]=jt,Me[1]=Zt,Me[2]=yr,Me[3]=Fr,Me[4]=Zr,Me[5]=Vr,Me[6]=gi,Me[7]=Si,Me[8]=Mi,Me[9]=Pi,Me[10]=Gi,Me[11]=Ki,Me[12]=ka,Me[13]=jn,Me[14]=la,Me[15]=Fa,Me[16]=Ra,Me[17]=jo,Me[18]=oa,ke!==0&&(Me[19]=ke,re.length++),re};Math.imul||(L=A);function _(G,N,W){W.negative=N.negative^G.negative,W.length=G.length+N.length;for(var re=0,ae=0,_e=0;_e<W.length-1;_e++){var Me=ae;ae=0;for(var ke=re&67108863,ge=Math.min(_e,N.length-1),ie=Math.max(0,_e-G.length+1);ie<=ge;ie++){var Te=_e-ie,Ee=G.words[Te]|0,Ae=N.words[ie]|0,ze=Ee*Ae,Ce=ze&67108863;Me=Me+(ze/67108864|0)|0,Ce=Ce+ke|0,ke=Ce&67108863,Me=Me+(Ce>>>26)|0,ae+=Me>>>26,Me&=67108863}W.words[_e]=ke,re=Me,Me=ae}return re!==0?W.words[_e]=re:W.length--,W.strip()}function C(G,N,W){var re=new M;return re.mulp(G,N,W)}f.prototype.mulTo=function(N,W){var re,ae=this.length+N.length;return this.length===10&&N.length===10?re=L(this,N,W):ae<63?re=A(this,N,W):ae<1024?re=_(this,N,W):re=C(this,N,W),re};function M(G,N){this.x=G,this.y=N}M.prototype.makeRBT=function(N){for(var W=new Array(N),re=f.prototype._countBits(N)-1,ae=0;ae<N;ae++)W[ae]=this.revBin(ae,re,N);return W},M.prototype.revBin=function(N,W,re){if(N===0||N===re-1)return N;for(var ae=0,_e=0;_e<W;_e++)ae|=(N&1)<<W-_e-1,N>>=1;return ae},M.prototype.permute=function(N,W,re,ae,_e,Me){for(var ke=0;ke<Me;ke++)ae[ke]=W[N[ke]],_e[ke]=re[N[ke]]},M.prototype.transform=function(N,W,re,ae,_e,Me){this.permute(Me,N,W,re,ae,_e);for(var ke=1;ke<_e;ke<<=1)for(var ge=ke<<1,ie=Math.cos(2*Math.PI/ge),Te=Math.sin(2*Math.PI/ge),Ee=0;Ee<_e;Ee+=ge)for(var Ae=ie,ze=Te,Ce=0;Ce<ke;Ce++){var me=re[Ee+Ce],Re=ae[Ee+Ce],ce=re[Ee+Ce+ke],Ge=ae[Ee+Ce+ke],nt=Ae*ce-ze*Ge;Ge=Ae*Ge+ze*ce,ce=nt,re[Ee+Ce]=me+ce,ae[Ee+Ce]=Re+Ge,re[Ee+Ce+ke]=me-ce,ae[Ee+Ce+ke]=Re-Ge,Ce!==ge&&(nt=ie*Ae-Te*ze,ze=ie*ze+Te*Ae,Ae=nt)}},M.prototype.guessLen13b=function(N,W){var re=Math.max(W,N)|1,ae=re&1,_e=0;for(re=re/2|0;re;re=re>>>1)_e++;return 1<<_e+1+ae},M.prototype.conjugate=function(N,W,re){if(!(re<=1))for(var ae=0;ae<re/2;ae++){var _e=N[ae];N[ae]=N[re-ae-1],N[re-ae-1]=_e,_e=W[ae],W[ae]=-W[re-ae-1],W[re-ae-1]=-_e}},M.prototype.normalize13b=function(N,W){for(var re=0,ae=0;ae<W/2;ae++){var _e=Math.round(N[2*ae+1]/W)*8192+Math.round(N[2*ae]/W)+re;N[ae]=_e&67108863,_e<67108864?re=0:re=_e/67108864|0}return N},M.prototype.convert13b=function(N,W,re,ae){for(var _e=0,Me=0;Me<W;Me++)_e=_e+(N[Me]|0),re[2*Me]=_e&8191,_e=_e>>>13,re[2*Me+1]=_e&8191,_e=_e>>>13;for(Me=2*W;Me<ae;++Me)re[Me]=0;u(_e===0),u((_e&-8192)===0)},M.prototype.stub=function(N){for(var W=new Array(N),re=0;re<N;re++)W[re]=0;return W},M.prototype.mulp=function(N,W,re){var ae=2*this.guessLen13b(N.length,W.length),_e=this.makeRBT(ae),Me=this.stub(ae),ke=new Array(ae),ge=new Array(ae),ie=new Array(ae),Te=new Array(ae),Ee=new Array(ae),Ae=new Array(ae),ze=re.words;ze.length=ae,this.convert13b(N.words,N.length,ke,ae),this.convert13b(W.words,W.length,Te,ae),this.transform(ke,Me,ge,ie,ae,_e),this.transform(Te,Me,Ee,Ae,ae,_e);for(var Ce=0;Ce<ae;Ce++){var me=ge[Ce]*Ee[Ce]-ie[Ce]*Ae[Ce];ie[Ce]=ge[Ce]*Ae[Ce]+ie[Ce]*Ee[Ce],ge[Ce]=me}return this.conjugate(ge,ie,ae),this.transform(ge,ie,ze,Me,ae,_e),this.conjugate(ze,Me,ae),this.normalize13b(ze,ae),re.negative=N.negative^W.negative,re.length=N.length+W.length,re.strip()},f.prototype.mul=function(N){var W=new f(null);return W.words=new Array(this.length+N.length),this.mulTo(N,W)},f.prototype.mulf=function(N){var W=new f(null);return W.words=new Array(this.length+N.length),C(this,N,W)},f.prototype.imul=function(N){return this.clone().mulTo(N,this)},f.prototype.imuln=function(N){u(typeof N==\"number\"),u(N<67108864);for(var W=0,re=0;re<this.length;re++){var ae=(this.words[re]|0)*N,_e=(ae&67108863)+(W&67108863);W>>=26,W+=ae/67108864|0,W+=_e>>>26,this.words[re]=_e&67108863}return W!==0&&(this.words[re]=W,this.length++),this},f.prototype.muln=function(N){return this.clone().imuln(N)},f.prototype.sqr=function(){return this.mul(this)},f.prototype.isqr=function(){return this.imul(this.clone())},f.prototype.pow=function(N){var W=k(N);if(W.length===0)return new f(1);for(var re=this,ae=0;ae<W.length&&W[ae]===0;ae++,re=re.sqr());if(++ae<W.length)for(var _e=re.sqr();ae<W.length;ae++,_e=_e.sqr())W[ae]!==0&&(re=re.mul(_e));return re},f.prototype.iushln=function(N){u(typeof N==\"number\"&&N>=0);var W=N%26,re=(N-W)/26,ae=67108863>>>26-W<<26-W,_e;if(W!==0){var Me=0;for(_e=0;_e<this.length;_e++){var ke=this.words[_e]&ae,ge=(this.words[_e]|0)-ke<<W;this.words[_e]=ge|Me,Me=ke>>>26-W}Me&&(this.words[_e]=Me,this.length++)}if(re!==0){for(_e=this.length-1;_e>=0;_e--)this.words[_e+re]=this.words[_e];for(_e=0;_e<re;_e++)this.words[_e]=0;this.length+=re}return this.strip()},f.prototype.ishln=function(N){return u(this.negative===0),this.iushln(N)},f.prototype.iushrn=function(N,W,re){u(typeof N==\"number\"&&N>=0);var ae;W?ae=(W-W%26)/26:ae=0;var _e=N%26,Me=Math.min((N-_e)/26,this.length),ke=67108863^67108863>>>_e<<_e,ge=re;if(ae-=Me,ae=Math.max(0,ae),ge){for(var ie=0;ie<Me;ie++)ge.words[ie]=this.words[ie];ge.length=Me}if(Me!==0)if(this.length>Me)for(this.length-=Me,ie=0;ie<this.length;ie++)this.words[ie]=this.words[ie+Me];else this.words[0]=0,this.length=1;var Te=0;for(ie=this.length-1;ie>=0&&(Te!==0||ie>=ae);ie--){var Ee=this.words[ie]|0;this.words[ie]=Te<<26-_e|Ee>>>_e,Te=Ee&ke}return ge&&Te!==0&&(ge.words[ge.length++]=Te),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.ishrn=function(N,W,re){return u(this.negative===0),this.iushrn(N,W,re)},f.prototype.shln=function(N){return this.clone().ishln(N)},f.prototype.ushln=function(N){return this.clone().iushln(N)},f.prototype.shrn=function(N){return this.clone().ishrn(N)},f.prototype.ushrn=function(N){return this.clone().iushrn(N)},f.prototype.testn=function(N){u(typeof N==\"number\"&&N>=0);var W=N%26,re=(N-W)/26,ae=1<<W;if(this.length<=re)return!1;var _e=this.words[re];return!!(_e&ae)},f.prototype.imaskn=function(N){u(typeof N==\"number\"&&N>=0);var W=N%26,re=(N-W)/26;if(u(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=re)return this;if(W!==0&&re++,this.length=Math.min(re,this.length),W!==0){var ae=67108863^67108863>>>W<<W;this.words[this.length-1]&=ae}return this.strip()},f.prototype.maskn=function(N){return this.clone().imaskn(N)},f.prototype.iaddn=function(N){return u(typeof N==\"number\"),u(N<67108864),N<0?this.isubn(-N):this.negative!==0?this.length===1&&(this.words[0]|0)<N?(this.words[0]=N-(this.words[0]|0),this.negative=0,this):(this.negative=0,this.isubn(N),this.negative=1,this):this._iaddn(N)},f.prototype._iaddn=function(N){this.words[0]+=N;for(var W=0;W<this.length&&this.words[W]>=67108864;W++)this.words[W]-=67108864,W===this.length-1?this.words[W+1]=1:this.words[W+1]++;return this.length=Math.max(this.length,W+1),this},f.prototype.isubn=function(N){if(u(typeof N==\"number\"),u(N<67108864),N<0)return this.iaddn(-N);if(this.negative!==0)return this.negative=0,this.iaddn(N),this.negative=1,this;if(this.words[0]-=N,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var W=0;W<this.length&&this.words[W]<0;W++)this.words[W]+=67108864,this.words[W+1]-=1;return this.strip()},f.prototype.addn=function(N){return this.clone().iaddn(N)},f.prototype.subn=function(N){return this.clone().isubn(N)},f.prototype.iabs=function(){return this.negative=0,this},f.prototype.abs=function(){return this.clone().iabs()},f.prototype._ishlnsubmul=function(N,W,re){var ae=N.length+re,_e;this._expand(ae);var Me,ke=0;for(_e=0;_e<N.length;_e++){Me=(this.words[_e+re]|0)+ke;var ge=(N.words[_e]|0)*W;Me-=ge&67108863,ke=(Me>>26)-(ge/67108864|0),this.words[_e+re]=Me&67108863}for(;_e<this.length-re;_e++)Me=(this.words[_e+re]|0)+ke,ke=Me>>26,this.words[_e+re]=Me&67108863;if(ke===0)return this.strip();for(u(ke===-1),ke=0,_e=0;_e<this.length;_e++)Me=-(this.words[_e]|0)+ke,ke=Me>>26,this.words[_e]=Me&67108863;return this.negative=1,this.strip()},f.prototype._wordDiv=function(N,W){var re=this.length-N.length,ae=this.clone(),_e=N,Me=_e.words[_e.length-1]|0,ke=this._countBits(Me);re=26-ke,re!==0&&(_e=_e.ushln(re),ae.iushln(re),Me=_e.words[_e.length-1]|0);var ge=ae.length-_e.length,ie;if(W!==\"mod\"){ie=new f(null),ie.length=ge+1,ie.words=new Array(ie.length);for(var Te=0;Te<ie.length;Te++)ie.words[Te]=0}var Ee=ae.clone()._ishlnsubmul(_e,1,ge);Ee.negative===0&&(ae=Ee,ie&&(ie.words[ge]=1));for(var Ae=ge-1;Ae>=0;Ae--){var ze=(ae.words[_e.length+Ae]|0)*67108864+(ae.words[_e.length+Ae-1]|0);for(ze=Math.min(ze/Me|0,67108863),ae._ishlnsubmul(_e,ze,Ae);ae.negative!==0;)ze--,ae.negative=0,ae._ishlnsubmul(_e,1,Ae),ae.isZero()||(ae.negative^=1);ie&&(ie.words[Ae]=ze)}return ie&&ie.strip(),ae.strip(),W!==\"div\"&&re!==0&&ae.iushrn(re),{div:ie||null,mod:ae}},f.prototype.divmod=function(N,W,re){if(u(!N.isZero()),this.isZero())return{div:new f(0),mod:new f(0)};var ae,_e,Me;return this.negative!==0&&N.negative===0?(Me=this.neg().divmod(N,W),W!==\"mod\"&&(ae=Me.div.neg()),W!==\"div\"&&(_e=Me.mod.neg(),re&&_e.negative!==0&&_e.iadd(N)),{div:ae,mod:_e}):this.negative===0&&N.negative!==0?(Me=this.divmod(N.neg(),W),W!==\"mod\"&&(ae=Me.div.neg()),{div:ae,mod:Me.mod}):this.negative&N.negative?(Me=this.neg().divmod(N.neg(),W),W!==\"div\"&&(_e=Me.mod.neg(),re&&_e.negative!==0&&_e.isub(N)),{div:Me.div,mod:_e}):N.length>this.length||this.cmp(N)<0?{div:new f(0),mod:this}:N.length===1?W===\"div\"?{div:this.divn(N.words[0]),mod:null}:W===\"mod\"?{div:null,mod:new f(this.modn(N.words[0]))}:{div:this.divn(N.words[0]),mod:new f(this.modn(N.words[0]))}:this._wordDiv(N,W)},f.prototype.div=function(N){return this.divmod(N,\"div\",!1).div},f.prototype.mod=function(N){return this.divmod(N,\"mod\",!1).mod},f.prototype.umod=function(N){return this.divmod(N,\"mod\",!0).mod},f.prototype.divRound=function(N){var W=this.divmod(N);if(W.mod.isZero())return W.div;var re=W.div.negative!==0?W.mod.isub(N):W.mod,ae=N.ushrn(1),_e=N.andln(1),Me=re.cmp(ae);return Me<0||_e===1&&Me===0?W.div:W.div.negative!==0?W.div.isubn(1):W.div.iaddn(1)},f.prototype.modn=function(N){u(N<=67108863);for(var W=(1<<26)%N,re=0,ae=this.length-1;ae>=0;ae--)re=(W*re+(this.words[ae]|0))%N;return re},f.prototype.idivn=function(N){u(N<=67108863);for(var W=0,re=this.length-1;re>=0;re--){var ae=(this.words[re]|0)+W*67108864;this.words[re]=ae/N|0,W=ae%N}return this.strip()},f.prototype.divn=function(N){return this.clone().idivn(N)},f.prototype.egcd=function(N){u(N.negative===0),u(!N.isZero());var W=this,re=N.clone();W.negative!==0?W=W.umod(N):W=W.clone();for(var ae=new f(1),_e=new f(0),Me=new f(0),ke=new f(1),ge=0;W.isEven()&&re.isEven();)W.iushrn(1),re.iushrn(1),++ge;for(var ie=re.clone(),Te=W.clone();!W.isZero();){for(var Ee=0,Ae=1;!(W.words[0]&Ae)&&Ee<26;++Ee,Ae<<=1);if(Ee>0)for(W.iushrn(Ee);Ee-- >0;)(ae.isOdd()||_e.isOdd())&&(ae.iadd(ie),_e.isub(Te)),ae.iushrn(1),_e.iushrn(1);for(var ze=0,Ce=1;!(re.words[0]&Ce)&&ze<26;++ze,Ce<<=1);if(ze>0)for(re.iushrn(ze);ze-- >0;)(Me.isOdd()||ke.isOdd())&&(Me.iadd(ie),ke.isub(Te)),Me.iushrn(1),ke.iushrn(1);W.cmp(re)>=0?(W.isub(re),ae.isub(Me),_e.isub(ke)):(re.isub(W),Me.isub(ae),ke.isub(_e))}return{a:Me,b:ke,gcd:re.iushln(ge)}},f.prototype._invmp=function(N){u(N.negative===0),u(!N.isZero());var W=this,re=N.clone();W.negative!==0?W=W.umod(N):W=W.clone();for(var ae=new f(1),_e=new f(0),Me=re.clone();W.cmpn(1)>0&&re.cmpn(1)>0;){for(var ke=0,ge=1;!(W.words[0]&ge)&&ke<26;++ke,ge<<=1);if(ke>0)for(W.iushrn(ke);ke-- >0;)ae.isOdd()&&ae.iadd(Me),ae.iushrn(1);for(var ie=0,Te=1;!(re.words[0]&Te)&&ie<26;++ie,Te<<=1);if(ie>0)for(re.iushrn(ie);ie-- >0;)_e.isOdd()&&_e.iadd(Me),_e.iushrn(1);W.cmp(re)>=0?(W.isub(re),ae.isub(_e)):(re.isub(W),_e.isub(ae))}var Ee;return W.cmpn(1)===0?Ee=ae:Ee=_e,Ee.cmpn(0)<0&&Ee.iadd(N),Ee},f.prototype.gcd=function(N){if(this.isZero())return N.abs();if(N.isZero())return this.abs();var W=this.clone(),re=N.clone();W.negative=0,re.negative=0;for(var ae=0;W.isEven()&&re.isEven();ae++)W.iushrn(1),re.iushrn(1);do{for(;W.isEven();)W.iushrn(1);for(;re.isEven();)re.iushrn(1);var _e=W.cmp(re);if(_e<0){var Me=W;W=re,re=Me}else if(_e===0||re.cmpn(1)===0)break;W.isub(re)}while(!0);return re.iushln(ae)},f.prototype.invm=function(N){return this.egcd(N).a.umod(N)},f.prototype.isEven=function(){return(this.words[0]&1)===0},f.prototype.isOdd=function(){return(this.words[0]&1)===1},f.prototype.andln=function(N){return this.words[0]&N},f.prototype.bincn=function(N){u(typeof N==\"number\");var W=N%26,re=(N-W)/26,ae=1<<W;if(this.length<=re)return this._expand(re+1),this.words[re]|=ae,this;for(var _e=ae,Me=re;_e!==0&&Me<this.length;Me++){var ke=this.words[Me]|0;ke+=_e,_e=ke>>>26,ke&=67108863,this.words[Me]=ke}return _e!==0&&(this.words[Me]=_e,this.length++),this},f.prototype.isZero=function(){return this.length===1&&this.words[0]===0},f.prototype.cmpn=function(N){var W=N<0;if(this.negative!==0&&!W)return-1;if(this.negative===0&&W)return 1;this.strip();var re;if(this.length>1)re=1;else{W&&(N=-N),u(N<=67108863,\"Number is too big\");var ae=this.words[0]|0;re=ae===N?0:ae<N?-1:1}return this.negative!==0?-re|0:re},f.prototype.cmp=function(N){if(this.negative!==0&&N.negative===0)return-1;if(this.negative===0&&N.negative!==0)return 1;var W=this.ucmp(N);return this.negative!==0?-W|0:W},f.prototype.ucmp=function(N){if(this.length>N.length)return 1;if(this.length<N.length)return-1;for(var W=0,re=this.length-1;re>=0;re--){var ae=this.words[re]|0,_e=N.words[re]|0;if(ae!==_e){ae<_e?W=-1:ae>_e&&(W=1);break}}return W},f.prototype.gtn=function(N){return this.cmpn(N)===1},f.prototype.gt=function(N){return this.cmp(N)===1},f.prototype.gten=function(N){return this.cmpn(N)>=0},f.prototype.gte=function(N){return this.cmp(N)>=0},f.prototype.ltn=function(N){return this.cmpn(N)===-1},f.prototype.lt=function(N){return this.cmp(N)===-1},f.prototype.lten=function(N){return this.cmpn(N)<=0},f.prototype.lte=function(N){return this.cmp(N)<=0},f.prototype.eqn=function(N){return this.cmpn(N)===0},f.prototype.eq=function(N){return this.cmp(N)===0},f.red=function(N){return new H(N)},f.prototype.toRed=function(N){return u(!this.red,\"Already a number in reduction context\"),u(this.negative===0,\"red works only with positives\"),N.convertTo(this)._forceRed(N)},f.prototype.fromRed=function(){return u(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},f.prototype._forceRed=function(N){return this.red=N,this},f.prototype.forceRed=function(N){return u(!this.red,\"Already a number in reduction context\"),this._forceRed(N)},f.prototype.redAdd=function(N){return u(this.red,\"redAdd works only with red numbers\"),this.red.add(this,N)},f.prototype.redIAdd=function(N){return u(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,N)},f.prototype.redSub=function(N){return u(this.red,\"redSub works only with red numbers\"),this.red.sub(this,N)},f.prototype.redISub=function(N){return u(this.red,\"redISub works only with red numbers\"),this.red.isub(this,N)},f.prototype.redShl=function(N){return u(this.red,\"redShl works only with red numbers\"),this.red.shl(this,N)},f.prototype.redMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.mul(this,N)},f.prototype.redIMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.imul(this,N)},f.prototype.redSqr=function(){return u(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},f.prototype.redISqr=function(){return u(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},f.prototype.redSqrt=function(){return u(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},f.prototype.redInvm=function(){return u(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},f.prototype.redNeg=function(){return u(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},f.prototype.redPow=function(N){return u(this.red&&!N.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,N)};var p={k256:null,p224:null,p192:null,p25519:null};function P(G,N){this.name=G,this.p=new f(N,16),this.n=this.p.bitLength(),this.k=new f(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}P.prototype._tmp=function(){var N=new f(null);return N.words=new Array(Math.ceil(this.n/13)),N},P.prototype.ireduce=function(N){var W=N,re;do this.split(W,this.tmp),W=this.imulK(W),W=W.iadd(this.tmp),re=W.bitLength();while(re>this.n);var ae=re<this.n?-1:W.ucmp(this.p);return ae===0?(W.words[0]=0,W.length=1):ae>0?W.isub(this.p):W.strip!==void 0?W.strip():W._strip(),W},P.prototype.split=function(N,W){N.iushrn(this.n,0,W)},P.prototype.imulK=function(N){return N.imul(this.k)};function T(){P.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}c(T,P),T.prototype.split=function(N,W){for(var re=4194303,ae=Math.min(N.length,9),_e=0;_e<ae;_e++)W.words[_e]=N.words[_e];if(W.length=ae,N.length<=9){N.words[0]=0,N.length=1;return}var Me=N.words[9];for(W.words[W.length++]=Me&re,_e=10;_e<N.length;_e++){var ke=N.words[_e]|0;N.words[_e-10]=(ke&re)<<4|Me>>>22,Me=ke}Me>>>=22,N.words[_e-10]=Me,Me===0&&N.length>10?N.length-=10:N.length-=9},T.prototype.imulK=function(N){N.words[N.length]=0,N.words[N.length+1]=0,N.length+=2;for(var W=0,re=0;re<N.length;re++){var ae=N.words[re]|0;W+=ae*977,N.words[re]=W&67108863,W=ae*64+(W/67108864|0)}return N.words[N.length-1]===0&&(N.length--,N.words[N.length-1]===0&&N.length--),N};function F(){P.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}c(F,P);function q(){P.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}c(q,P);function V(){P.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}c(V,P),V.prototype.imulK=function(N){for(var W=0,re=0;re<N.length;re++){var ae=(N.words[re]|0)*19+W,_e=ae&67108863;ae>>>=26,N.words[re]=_e,W=ae}return W!==0&&(N.words[N.length++]=W),N},f._prime=function(N){if(p[N])return p[N];var W;if(N===\"k256\")W=new T;else if(N===\"p224\")W=new F;else if(N===\"p192\")W=new q;else if(N===\"p25519\")W=new V;else throw new Error(\"Unknown prime \"+N);return p[N]=W,W};function H(G){if(typeof G==\"string\"){var N=f._prime(G);this.m=N.p,this.prime=N}else u(G.gtn(1),\"modulus must be greater than 1\"),this.m=G,this.prime=null}H.prototype._verify1=function(N){u(N.negative===0,\"red works only with positives\"),u(N.red,\"red works only with red numbers\")},H.prototype._verify2=function(N,W){u((N.negative|W.negative)===0,\"red works only with positives\"),u(N.red&&N.red===W.red,\"red works only with red numbers\")},H.prototype.imod=function(N){return this.prime?this.prime.ireduce(N)._forceRed(this):N.umod(this.m)._forceRed(this)},H.prototype.neg=function(N){return N.isZero()?N.clone():this.m.sub(N)._forceRed(this)},H.prototype.add=function(N,W){this._verify2(N,W);var re=N.add(W);return re.cmp(this.m)>=0&&re.isub(this.m),re._forceRed(this)},H.prototype.iadd=function(N,W){this._verify2(N,W);var re=N.iadd(W);return re.cmp(this.m)>=0&&re.isub(this.m),re},H.prototype.sub=function(N,W){this._verify2(N,W);var re=N.sub(W);return re.cmpn(0)<0&&re.iadd(this.m),re._forceRed(this)},H.prototype.isub=function(N,W){this._verify2(N,W);var re=N.isub(W);return re.cmpn(0)<0&&re.iadd(this.m),re},H.prototype.shl=function(N,W){return this._verify1(N),this.imod(N.ushln(W))},H.prototype.imul=function(N,W){return this._verify2(N,W),this.imod(N.imul(W))},H.prototype.mul=function(N,W){return this._verify2(N,W),this.imod(N.mul(W))},H.prototype.isqr=function(N){return this.imul(N,N.clone())},H.prototype.sqr=function(N){return this.mul(N,N)},H.prototype.sqrt=function(N){if(N.isZero())return N.clone();var W=this.m.andln(3);if(u(W%2===1),W===3){var re=this.m.add(new f(1)).iushrn(2);return this.pow(N,re)}for(var ae=this.m.subn(1),_e=0;!ae.isZero()&&ae.andln(1)===0;)_e++,ae.iushrn(1);u(!ae.isZero());var Me=new f(1).toRed(this),ke=Me.redNeg(),ge=this.m.subn(1).iushrn(1),ie=this.m.bitLength();for(ie=new f(2*ie*ie).toRed(this);this.pow(ie,ge).cmp(ke)!==0;)ie.redIAdd(ke);for(var Te=this.pow(ie,ae),Ee=this.pow(N,ae.addn(1).iushrn(1)),Ae=this.pow(N,ae),ze=_e;Ae.cmp(Me)!==0;){for(var Ce=Ae,me=0;Ce.cmp(Me)!==0;me++)Ce=Ce.redSqr();u(me<ze);var Re=this.pow(Te,new f(1).iushln(ze-me-1));Ee=Ee.redMul(Re),Te=Re.redSqr(),Ae=Ae.redMul(Te),ze=me}return Ee},H.prototype.invm=function(N){var W=N._invmp(this.m);return W.negative!==0?(W.negative=0,this.imod(W).redNeg()):this.imod(W)},H.prototype.pow=function(N,W){if(W.isZero())return new f(1).toRed(this);if(W.cmpn(1)===0)return N.clone();var re=4,ae=new Array(1<<re);ae[0]=new f(1).toRed(this),ae[1]=N;for(var _e=2;_e<ae.length;_e++)ae[_e]=this.mul(ae[_e-1],N);var Me=ae[0],ke=0,ge=0,ie=W.bitLength()%26;for(ie===0&&(ie=26),_e=W.length-1;_e>=0;_e--){for(var Te=W.words[_e],Ee=ie-1;Ee>=0;Ee--){var Ae=Te>>Ee&1;if(Me!==ae[0]&&(Me=this.sqr(Me)),Ae===0&&ke===0){ge=0;continue}ke<<=1,ke|=Ae,ge++,!(ge!==re&&(_e!==0||Ee!==0))&&(Me=this.mul(Me,ae[ke]),ge=0,ke=0)}ie=26}return Me},H.prototype.convertTo=function(N){var W=N.umod(this.m);return W===N?W.clone():W},H.prototype.convertFrom=function(N){var W=N.clone();return W.red=null,W},f.mont=function(N){return new X(N)};function X(G){H.call(this,G),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new f(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}c(X,H),X.prototype.convertTo=function(N){return this.imod(N.ushln(this.shift))},X.prototype.convertFrom=function(N){var W=this.imod(N.mul(this.rinv));return W.red=null,W},X.prototype.imul=function(N,W){if(N.isZero()||W.isZero())return N.words[0]=0,N.length=1,N;var re=N.imul(W),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Me=_e;return _e.cmp(this.m)>=0?Me=_e.isub(this.m):_e.cmpn(0)<0&&(Me=_e.iadd(this.m)),Me._forceRed(this)},X.prototype.mul=function(N,W){if(N.isZero()||W.isZero())return new f(0)._forceRed(this);var re=N.mul(W),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Me=_e;return _e.cmp(this.m)>=0?Me=_e.isub(this.m):_e.cmpn(0)<0&&(Me=_e.iadd(this.m)),Me._forceRed(this)},X.prototype.invm=function(N){var W=this.imod(N._invmp(this.m).mul(this.r2));return W._forceRed(this)}}(i,this)},6204:function(i){\"use strict\";i.exports=a;function a(o){var s,l,u,c=o.length,f=0;for(s=0;s<c;++s)f+=o[s].length;var h=new Array(f),d=0;for(s=0;s<c;++s){var v=o[s],x=v.length;for(l=0;l<x;++l){var b=h[d++]=new Array(x-1),g=0;for(u=0;u<x;++u)u!==l&&(b[g++]=v[u]);if(l&1){var E=b[1];b[1]=b[0],b[0]=E}}}return h}},6867:function(i,a,o){\"use strict\";i.exports=g;var s=o(1888),l=o(855),u=o(7150);function c(E,k){for(var A=0;A<E;++A)if(!(k[A]<=k[A+E]))return!0;return!1}function f(E,k,A,L){for(var _=0,C=0,M=0,p=E.length;M<p;++M){var P=E[M];if(!c(k,P)){for(var T=0;T<2*k;++T)A[_++]=P[T];L[C++]=M}}return C}function h(E,k,A,L){var _=E.length,C=k.length;if(!(_<=0||C<=0)){var M=E[0].length>>>1;if(!(M<=0)){var p,P=s.mallocDouble(2*M*_),T=s.mallocInt32(_);if(_=f(E,M,P,T),_>0){if(M===1&&L)l.init(_),p=l.sweepComplete(M,A,0,_,P,T,0,_,P,T);else{var F=s.mallocDouble(2*M*C),q=s.mallocInt32(C);C=f(k,M,F,q),C>0&&(l.init(_+C),M===1?p=l.sweepBipartite(M,A,0,_,P,T,0,C,F,q):p=u(M,A,L,_,P,T,C,F,q),s.free(F),s.free(q))}s.free(P),s.free(T)}return p}}}var d;function v(E,k){d.push([E,k])}function x(E){return d=[],h(E,E,v,!0),d}function b(E,k){return d=[],h(E,k,v,!1),d}function g(E,k,A){switch(arguments.length){case 1:return x(E);case 2:return typeof k==\"function\"?h(E,E,k,!0):b(E,k);case 3:return h(E,k,A,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}}},2455:function(i,a){\"use strict\";function o(){function u(h,d,v,x,b,g,E,k,A,L,_){for(var C=2*h,M=x,p=C*x;M<b;++M,p+=C){var P=g[d+p],T=g[d+p+h],F=E[M];e:for(var q=k,V=C*k;q<A;++q,V+=C){var H=L[d+V],X=L[d+V+h],G=_[q];if(!(X<P||T<H)){for(var N=d+1;N<h;++N){var W=g[N+p],re=g[N+h+p],ae=L[N+V],_e=L[N+h+V];if(re<ae||_e<W)continue e}var 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re=k[W+T],ae=k[W+v+T],_e=C[W+X],Me=C[W+v+X];if(ae<_e||Me<re)continue e}var ke=b(V,N);if(ke!==void 0)return ke}}}}function f(v,x,b,g,E,k,A,L,_,C,M){for(var p=2*v,P=L,T=p*L;P<_;++P,T+=p){var F=C[x+T],q=M[P];e:for(var V=g,H=p*g;V<E;++V,H+=p){var X=k[x+H],G=k[x+H+v],N=A[V];if(!(F<=X||G<F)){for(var W=x+1;W<v;++W){var re=k[W+H],ae=k[W+v+H],_e=C[W+T],Me=C[W+v+T];if(ae<_e||Me<re)continue e}var ke=b(q,N);if(ke!==void 0)return ke}}}}function h(v,x,b,g,E,k,A,L,_,C,M){for(var p=2*v,P=L,T=p*L;P<_;++P,T+=p){var F=C[x+T],q=M[P];e:for(var V=g,H=p*g;V<E;++V,H+=p){var X=k[x+H],G=k[x+H+v],N=A[V];if(!(F<X||G<F)){for(var W=x+1;W<v;++W){var re=k[W+H],ae=k[W+v+H],_e=C[W+T],Me=C[W+v+T];if(ae<_e||Me<re)continue e}var ke=b(N,q);if(ke!==void 0)return ke}}}}function d(v,x,b,g,E,k,A,L,_,C,M,p){return k-E>C-_?g?u(v,x,b,E,k,A,L,_,C,M,p):c(v,x,b,E,k,A,L,_,C,M,p):g?f(v,x,b,E,k,A,L,_,C,M,p):h(v,x,b,E,k,A,L,_,C,M,p)}return d}function l(u){return u?o():s()}a.partial=l(!1),a.full=l(!0)},7150:function(i,a,o){\"use 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ot}}}function X(N,W,re,ae,_e,Me,ke,ge,ie,Te){var Ee=2*N,Ae=ge*Ee,ze=ie[Ae+W];e:for(var Ce=ae,me=ae*Ee;Ce<_e;++Ce,me+=Ee){var Re=ke[Ce];if(Re!==Te){var ce=Me[me+W],Ge=Me[me+W+N];if(!(ze<ce||Ge<ze)){for(var nt=W+1;nt<N;++nt){var ce=Me[me+nt],Ge=Me[me+nt+N],ct=ie[Ae+nt],qt=ie[Ae+nt+N];if(Ge<ct||qt<ce)continue e}var rt=re(Re,Te);if(rt!==void 0)return rt}}}}function G(N,W,re,ae,_e,Me,ke,ge,ie){q(N,ae+ke);var Te=0,Ee=2*N,Ae;for(V(Te++,0,0,ae,0,ke,re?16:0,-1/0,1/0),re||V(Te++,0,0,ke,0,ae,1,-1/0,1/0);Te>0;){Te-=1;var ze=Te*M,Ce=T[ze],me=T[ze+1],Re=T[ze+2],ce=T[ze+3],Ge=T[ze+4],nt=T[ze+5],ct=Te*p,qt=F[ct],rt=F[ct+1],ot=nt&1,Rt=!!(nt&16),kt=_e,Ct=Me,Yt=ge,xr=ie;if(ot&&(kt=ge,Ct=ie,Yt=_e,xr=Me),!(nt&2&&(Re=A(N,Ce,me,Re,kt,Ct,rt),me>=Re))&&!(nt&4&&(me=L(N,Ce,me,Re,kt,Ct,qt),me>=Re))){var er=Re-me,Ke=Ge-ce;if(Rt){if(N*er*(er+Ke)<g){if(Ae=h.scanComplete(N,Ce,W,me,Re,kt,Ct,ce,Ge,Yt,xr),Ae!==void 0)return Ae;continue}}else if(N*Math.min(er,Ke)<x){if(Ae=c(N,Ce,W,ot,me,Re,kt,Ct,ce,Ge,Yt,xr),Ae!==void 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me=E[2*ke+1]|0,Re=me&1;if(ke<Ee-1&&me>>1===E[2*ke+3]>>1&&(Re=2,ke+=1),me<0){for(var ce=-(me>>1)-1,Ge=0;Ge<Ce;++Ge){var nt=T(b[Ge],ce);if(nt!==void 0)return nt}if(Re!==0)for(var Ge=0;Ge<Ae;++Ge){var nt=T(h[Ge],ce);if(nt!==void 0)return nt}if(Re!==1)for(var Ge=0;Ge<ze;++Ge){var nt=T(v[Ge],ce);if(nt!==void 0)return nt}Re===0?L(h,d,Ae++,ce):Re===1?L(v,x,ze++,ce):Re===2&&L(b,g,Ce++,ce)}else{var ce=(me>>1)-1;Re===0?A(h,d,Ae--,ce):Re===1?A(v,x,ze--,ce):Re===2&&A(b,g,Ce--,ce)}}}function M(P,T,F,q,V,H,X,G,N,W,re,ae){var _e=0,Me=2*P,ke=T,ge=T+P,ie=1,Te=1;q?Te=c:ie=c;for(var Ee=V;Ee<H;++Ee){var Ae=Ee+ie,ze=Me*Ee;E[_e++]=X[ze+ke],E[_e++]=-Ae,E[_e++]=X[ze+ge],E[_e++]=Ae}for(var Ee=N;Ee<W;++Ee){var Ae=Ee+Te,Ce=Me*Ee;E[_e++]=re[Ce+ke],E[_e++]=-Ae}var me=_e>>>1;u(E,me);for(var Re=0,Ee=0;Ee<me;++Ee){var ce=E[2*Ee+1]|0;if(ce<0){var Ae=-ce,Ge=!1;if(Ae>=c?(Ge=!q,Ae-=c):(Ge=!!q,Ae-=1),Ge)L(h,d,Re++,Ae);else{var nt=ae[Ae],ct=Me*Ae,qt=re[ct+T+1],rt=re[ct+T+1+P];e:for(var ot=0;ot<Re;++ot){var 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F=_[T-2];F.left===M?F.left=p:F.right=p}_[T-1]=p;return}else if(p.left&&p.left._color===a){if(p=M.right=l(p),P=p.left=l(p.left),M.right=P.left,p.left=P.right,P.left=M,P.right=p,P._color=M._color,M._color=o,p._color=o,C._color=o,c(M),c(p),c(P),T>1){var F=_[T-2];F.left===M?F.left=P:F.right=P}_[T-1]=P;return}if(p._color===o)if(M._color===a){M._color=o,M.right=u(a,p);return}else{M.right=u(a,p);continue}else{if(p=l(p),M.right=p.left,p.left=M,p._color=M._color,M._color=a,c(M),c(p),T>1){var F=_[T-2];F.left===M?F.left=p:F.right=p}_[T-1]=p,_[T]=M,T+1<_.length?_[T+1]=C:_.push(C),T=T+2}}else{if(p=M.left,p.left&&p.left._color===a){if(p=M.left=l(p),P=p.left=l(p.left),M.left=p.right,p.right=M,p.left=P,p._color=M._color,C._color=o,M._color=o,P._color=o,c(M),c(p),T>1){var F=_[T-2];F.right===M?F.right=p:F.left=p}_[T-1]=p;return}else if(p.right&&p.right._color===a){if(p=M.left=l(p),P=p.right=l(p.right),M.left=P.right,p.right=P.left,P.right=M,P.left=p,P._color=M._color,M._color=o,p._color=o,C._color=o,c(M),c(p),c(P),T>1){var F=_[T-2];F.right===M?F.right=P:F.left=P}_[T-1]=P;return}if(p._color===o)if(M._color===a){M._color=o,M.left=u(a,p);return}else{M.left=u(a,p);continue}else{if(p=l(p),M.left=p.right,p.right=M,p._color=M._color,M._color=a,c(M),c(p),T>1){var F=_[T-2];F.right===M?F.right=p:F.left=p}_[T-1]=p,_[T]=M,T+1<_.length?_[T+1]=C:_.push(C),T=T+2}}}}g.remove=function(){var _=this._stack;if(_.length===0)return this.tree;var C=new Array(_.length),M=_[_.length-1];C[C.length-1]=new s(M._color,M.key,M.value,M.left,M.right,M._count);for(var p=_.length-2;p>=0;--p){var M=_[p];M.left===_[p+1]?C[p]=new s(M._color,M.key,M.value,C[p+1],M.right,M._count):C[p]=new s(M._color,M.key,M.value,M.left,C[p+1],M._count)}if(M=C[C.length-1],M.left&&M.right){var P=C.length;for(M=M.left;M.right;)C.push(M),M=M.right;var T=C[P-1];C.push(new s(M._color,T.key,T.value,M.left,M.right,M._count)),C[P-1].key=M.key,C[P-1].value=M.value;for(var p=C.length-2;p>=P;--p)M=C[p],C[p]=new s(M._color,M.key,M.value,M.left,C[p+1],M._count);C[P-1].left=C[P]}if(M=C[C.length-1],M._color===a){var F=C[C.length-2];F.left===M?F.left=null:F.right===M&&(F.right=null),C.pop();for(var p=0;p<C.length;++p)C[p]._count--;return new f(this.tree._compare,C[0])}else if(M.left||M.right){M.left?E(M,M.left):M.right&&E(M,M.right),M._color=o;for(var p=0;p<C.length-1;++p)C[p]._count--;return new f(this.tree._compare,C[0])}else{if(C.length===1)return new f(this.tree._compare,null);for(var p=0;p<C.length;++p)C[p]._count--;var q=C[C.length-2];k(C),q.left===M?q.left=null:q.right=null}return new f(this.tree._compare,C[0])},Object.defineProperty(g,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(g,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(g,\"index\",{get:function(){var _=0,C=this._stack;if(C.length===0){var M=this.tree.root;return M?M._count:0}else C[C.length-1].left&&(_=C[C.length-1].left._count);for(var p=C.length-2;p>=0;--p)C[p+1]===C[p].right&&(++_,C[p].left&&(_+=C[p].left._count));return _},enumerable:!0}),g.next=function(){var _=this._stack;if(_.length!==0){var C=_[_.length-1];if(C.right)for(C=C.right;C;)_.push(C),C=C.left;else for(_.pop();_.length>0&&_[_.length-1].right===C;)C=_[_.length-1],_.pop()}},Object.defineProperty(g,\"hasNext\",{get:function(){var _=this._stack;if(_.length===0)return!1;if(_[_.length-1].right)return!0;for(var C=_.length-1;C>0;--C)if(_[C-1].left===_[C])return!0;return!1}}),g.update=function(_){var C=this._stack;if(C.length===0)throw new Error(\"Can't update empty node!\");var M=new Array(C.length),p=C[C.length-1];M[M.length-1]=new s(p._color,p.key,_,p.left,p.right,p._count);for(var P=C.length-2;P>=0;--P)p=C[P],p.left===C[P+1]?M[P]=new s(p._color,p.key,p.value,M[P+1],p.right,p._count):M[P]=new s(p._color,p.key,p.value,p.left,M[P+1],p._count);return new f(this.tree._compare,M[0])},g.prev=function(){var _=this._stack;if(_.length!==0){var C=_[_.length-1];if(C.left)for(C=C.left;C;)_.push(C),C=C.right;else for(_.pop();_.length>0&&_[_.length-1].left===C;)C=_[_.length-1],_.pop()}},Object.defineProperty(g,\"hasPrev\",{get:function(){var _=this._stack;if(_.length===0)return!1;if(_[_.length-1].left)return!0;for(var C=_.length-1;C>0;--C)if(_[C-1].right===_[C])return!0;return!1}});function A(_,C){return _<C?-1:_>C?1:0}function L(_){return new f(_||A,null)}},3837:function(i,a,o){\"use strict\";i.exports=q;var s=o(4935),l=o(501),u=o(5304),c=o(6429),f=o(6444),h=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=ArrayBuffer,v=DataView;function x(V){return d.isView(V)&&!(V instanceof v)}function b(V){return Array.isArray(V)||x(V)}function g(V,H){return V[0]=H[0],V[1]=H[1],V[2]=H[2],V}function E(V){this.gl=V,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=u(V)}var k=E.prototype;k.update=function(V){V=V||{};function H(Ae,ze,Ce){if(Ce in V){var me=V[Ce],Re=this[Ce],ce;(Ae?b(me)&&b(me[0]):b(me))?this[Ce]=ce=[ze(me[0]),ze(me[1]),ze(me[2])]:this[Ce]=ce=[ze(me),ze(me),ze(me)];for(var Ge=0;Ge<3;++Ge)if(ce[Ge]!==Re[Ge])return!0}return!1}var X=H.bind(this,!1,Number),G=H.bind(this,!1,Boolean),N=H.bind(this,!1,String),W=H.bind(this,!0,function(Ae){if(b(Ae)){if(Ae.length===3)return[+Ae[0],+Ae[1],+Ae[2],1];if(Ae.length===4)return[+Ae[0],+Ae[1],+Ae[2],+Ae[3]]}return[0,0,0,1]}),re,ae=!1,_e=!1;if(\"bounds\"in V)for(var Me=V.bounds,ke=0;ke<2;++ke)for(var ge=0;ge<3;++ge)Me[ke][ge]!==this.bounds[ke][ge]&&(_e=!0),this.bounds[ke][ge]=Me[ke][ge];if(\"ticks\"in V){re=V.ticks,ae=!0,this.autoTicks=!1;for(var ke=0;ke<3;++ke)this.tickSpacing[ke]=0}else X(\"tickSpacing\")&&(this.autoTicks=!0,_e=!0);if(this._firstInit&&(\"ticks\"in V||\"tickSpacing\"in V||(this.autoTicks=!0),_e=!0,ae=!0,this._firstInit=!1),_e&&this.autoTicks&&(re=f.create(this.bounds,this.tickSpacing),ae=!0),ae){for(var ke=0;ke<3;++ke)re[ke].sort(function(ze,Ce){return ze.x-Ce.x});f.equal(re,this.ticks)?ae=!1:this.ticks=re}G(\"tickEnable\"),N(\"tickFont\")&&(ae=!0),N(\"tickFontStyle\")&&(ae=!0),N(\"tickFontWeight\")&&(ae=!0),N(\"tickFontVariant\")&&(ae=!0),X(\"tickSize\"),X(\"tickAngle\"),X(\"tickPad\"),W(\"tickColor\");var ie=N(\"labels\");N(\"labelFont\")&&(ie=!0),N(\"labelFontStyle\")&&(ie=!0),N(\"labelFontWeight\")&&(ie=!0),N(\"labelFontVariant\")&&(ie=!0),G(\"labelEnable\"),X(\"labelSize\"),X(\"labelPad\"),W(\"labelColor\"),G(\"lineEnable\"),G(\"lineMirror\"),X(\"lineWidth\"),W(\"lineColor\"),G(\"lineTickEnable\"),G(\"lineTickMirror\"),X(\"lineTickLength\"),X(\"lineTickWidth\"),W(\"lineTickColor\"),G(\"gridEnable\"),X(\"gridWidth\"),W(\"gridColor\"),G(\"zeroEnable\"),W(\"zeroLineColor\"),X(\"zeroLineWidth\"),G(\"backgroundEnable\"),W(\"backgroundColor\");var Te=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],Ee=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(ie||ae)&&this._text.update(this.bounds,this.labels,Te,this.ticks,Ee):this._text=s(this.gl,this.bounds,this.labels,Te,this.ticks,Ee),this._lines&&ae&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=l(this.gl,this.bounds,this.ticks))};function A(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var L=[new A,new A,new A];function _(V,H,X,G,N){for(var W=V.primalOffset,re=V.primalMinor,ae=V.mirrorOffset,_e=V.mirrorMinor,Me=G[H],ke=0;ke<3;++ke)if(H!==ke){var ge=W,ie=ae,Te=re,Ee=_e;Me&1<<ke&&(ge=ae,ie=W,Te=_e,Ee=re),ge[ke]=X[0][ke],ie[ke]=X[1][ke],N[ke]>0?(Te[ke]=-1,Ee[ke]=0):(Te[ke]=0,Ee[ke]=1)}}var C=[0,0,0],M={model:h,view:h,projection:h,_ortho:!1};k.isOpaque=function(){return!0},k.isTransparent=function(){return!1},k.drawTransparent=function(V){};var p=0,P=[0,0,0],T=[0,0,0],F=[0,0,0];k.draw=function(V){V=V||M;for(var Ce=this.gl,H=V.model||h,X=V.view||h,G=V.projection||h,N=this.bounds,W=V._ortho||!1,re=c(H,X,G,N,W),ae=re.cubeEdges,_e=re.axis,Me=X[12],ke=X[13],ge=X[14],ie=X[15],Te=W?2:1,Ee=Te*this.pixelRatio*(G[3]*Me+G[7]*ke+G[11]*ge+G[15]*ie)/Ce.drawingBufferHeight,Ae=0;Ae<3;++Ae)this.lastCubeProps.cubeEdges[Ae]=ae[Ae],this.lastCubeProps.axis[Ae]=_e[Ae];for(var ze=L,Ae=0;Ae<3;++Ae)_(L[Ae],Ae,this.bounds,ae,_e);for(var Ce=this.gl,me=C,Ae=0;Ae<3;++Ae)this.backgroundEnable[Ae]?me[Ae]=_e[Ae]:me[Ae]=0;this._background.draw(H,X,G,N,me,this.backgroundColor),this._lines.bind(H,X,G,this);for(var Ae=0;Ae<3;++Ae){var Re=[0,0,0];_e[Ae]>0?Re[Ae]=N[1][Ae]:Re[Ae]=N[0][Ae];for(var ce=0;ce<2;++ce){var Ge=(Ae+1+ce)%3,nt=(Ae+1+(ce^1))%3;this.gridEnable[Ge]&&this._lines.drawGrid(Ge,nt,this.bounds,Re,this.gridColor[Ge],this.gridWidth[Ge]*this.pixelRatio)}for(var ce=0;ce<2;++ce){var Ge=(Ae+1+ce)%3,nt=(Ae+1+(ce^1))%3;this.zeroEnable[nt]&&Math.min(N[0][nt],N[1][nt])<=0&&Math.max(N[0][nt],N[1][nt])>=0&&this._lines.drawZero(Ge,nt,this.bounds,Re,this.zeroLineColor[nt],this.zeroLineWidth[nt]*this.pixelRatio)}}for(var Ae=0;Ae<3;++Ae){this.lineEnable[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,ze[Ae].primalOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio),this.lineMirror[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,ze[Ae].mirrorOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio);for(var ct=g(P,ze[Ae].primalMinor),qt=g(T,ze[Ae].mirrorMinor),rt=this.lineTickLength,ce=0;ce<3;++ce){var ot=Ee/H[5*ce];ct[ce]*=rt[ce]*ot,qt[ce]*=rt[ce]*ot}this.lineTickEnable[Ae]&&this._lines.drawAxisTicks(Ae,ze[Ae].primalOffset,ct,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio),this.lineTickMirror[Ae]&&this._lines.drawAxisTicks(Ae,ze[Ae].mirrorOffset,qt,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio)}this._lines.unbind(),this._text.bind(H,X,G,this.pixelRatio);var Rt,kt=.5,Ct,Yt;function xr(St){Yt=[0,0,0],Yt[St]=1}function er(St,Et,dt){var Ht=(St+1)%3,$t=(St+2)%3,fr=Et[Ht],_r=Et[$t],Br=dt[Ht],Or=dt[$t];if(fr>0&&Or>0){xr(Ht);return}else if(fr>0&&Or<0){xr(Ht);return}else if(fr<0&&Or>0){xr(Ht);return}else if(fr<0&&Or<0){xr(Ht);return}else if(_r>0&&Br>0){xr($t);return}else if(_r>0&&Br<0){xr($t);return}else if(_r<0&&Br>0){xr($t);return}else if(_r<0&&Br<0){xr($t);return}}for(var Ae=0;Ae<3;++Ae){for(var Ke=ze[Ae].primalMinor,xt=ze[Ae].mirrorMinor,bt=g(F,ze[Ae].primalOffset),ce=0;ce<3;++ce)this.lineTickEnable[Ae]&&(bt[ce]+=Ee*Ke[ce]*Math.max(this.lineTickLength[ce],0)/H[5*ce]);var Lt=[0,0,0];if(Lt[Ae]=1,this.tickEnable[Ae]){this.tickAngle[Ae]===-3600?(this.tickAngle[Ae]=0,this.tickAlign[Ae]=\"auto\"):this.tickAlign[Ae]=-1,Ct=1,Rt=[this.tickAlign[Ae],kt,Ct],Rt[0]===\"auto\"?Rt[0]=p:Rt[0]=parseInt(\"\"+Rt[0]),Yt=[0,0,0],er(Ae,Ke,xt);for(var ce=0;ce<3;++ce)bt[ce]+=Ee*Ke[ce]*this.tickPad[ce]/H[5*ce];this._text.drawTicks(Ae,this.tickSize[Ae],this.tickAngle[Ae],bt,this.tickColor[Ae],Lt,Yt,Rt)}if(this.labelEnable[Ae]){Ct=0,Yt=[0,0,0],this.labels[Ae].length>4&&(xr(Ae),Ct=1),Rt=[this.labelAlign[Ae],kt,Ct],Rt[0]===\"auto\"?Rt[0]=p:Rt[0]=parseInt(\"\"+Rt[0]);for(var ce=0;ce<3;++ce)bt[ce]+=Ee*Ke[ce]*this.labelPad[ce]/H[5*ce];bt[Ae]+=.5*(N[0][Ae]+N[1][Ae]),this._text.drawLabel(Ae,this.labelSize[Ae],this.labelAngle[Ae],bt,this.labelColor[Ae],[0,0,0],Yt,Rt)}}this._text.unbind()},k.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function q(V,H){var X=new E(V);return X.update(H),X}},5304:function(i,a,o){\"use strict\";i.exports=h;var s=o(2762),l=o(8116),u=o(1879).bg;function c(d,v,x,b){this.gl=d,this.buffer=v,this.vao=x,this.shader=b}var f=c.prototype;f.draw=function(d,v,x,b,g,E){for(var k=!1,A=0;A<3;++A)k=k||g[A];if(k){var L=this.gl;L.enable(L.POLYGON_OFFSET_FILL),L.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:d,view:v,projection:x,bounds:b,enable:g,colors:E},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),L.disable(L.POLYGON_OFFSET_FILL)}},f.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function h(d){for(var v=[],x=[],b=0,g=0;g<3;++g)for(var E=(g+1)%3,k=(g+2)%3,A=[0,0,0],L=[0,0,0],_=-1;_<=1;_+=2){x.push(b,b+2,b+1,b+1,b+2,b+3),A[g]=_,L[g]=_;for(var C=-1;C<=1;C+=2){A[E]=C;for(var M=-1;M<=1;M+=2)A[k]=M,v.push(A[0],A[1],A[2],L[0],L[1],L[2]),b+=1}var p=E;E=k,k=p}var P=s(d,new Float32Array(v)),T=s(d,new Uint16Array(x),d.ELEMENT_ARRAY_BUFFER),F=l(d,[{buffer:P,type:d.FLOAT,size:3,offset:0,stride:24},{buffer:P,type:d.FLOAT,size:3,offset:12,stride:24}],T),q=u(d);return q.attributes.position.location=0,q.attributes.normal.location=1,new c(d,P,F,q)}},6429:function(i,a,o){\"use strict\";i.exports=_;var s=o(8828),l=o(6760),u=o(5202),c=o(3250),f=new Array(16),h=new Array(8),d=new Array(8),v=new Array(3),x=[0,0,0];(function(){for(var C=0;C<8;++C)h[C]=[1,1,1,1],d[C]=[1,1,1]})();function b(C,M,p){for(var P=0;P<4;++P){C[P]=p[12+P];for(var T=0;T<3;++T)C[P]+=M[T]*p[4*T+P]}}var g=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function E(C){for(var M=0;M<g.length;++M)if(C=u.positive(C,g[M]),C.length<3)return 0;for(var p=C[0],P=p[0]/p[3],T=p[1]/p[3],F=0,M=1;M+1<C.length;++M){var q=C[M],V=C[M+1],H=q[0]/q[3],X=q[1]/q[3],G=V[0]/V[3],N=V[1]/V[3],W=H-P,re=X-T,ae=G-P,_e=N-T;F+=Math.abs(W*_e-re*ae)}return F}var k=[1,1,1],A=[0,0,0],L={cubeEdges:k,axis:A};function _(C,M,p,P,T){l(f,M,C),l(f,p,f);for(var F=0,q=0;q<2;++q){v[2]=P[q][2];for(var V=0;V<2;++V){v[1]=P[V][1];for(var H=0;H<2;++H)v[0]=P[H][0],b(h[F],v,f),F+=1}}for(var X=-1,q=0;q<8;++q){for(var G=h[q][3],N=0;N<3;++N)d[q][N]=h[q][N]/G;T&&(d[q][2]*=-1),G<0&&(X<0||d[q][2]<d[X][2])&&(X=q)}if(X<0){X=0;for(var W=0;W<3;++W){for(var re=(W+2)%3,ae=(W+1)%3,_e=-1,Me=-1,ke=0;ke<2;++ke){var ge=ke<<W,ie=ge+(ke<<re)+(1-ke<<ae),Te=ge+(1-ke<<re)+(ke<<ae);c(d[ge],d[ie],d[Te],x)<0||(ke?_e=1:Me=1)}if(_e<0||Me<0){Me>_e&&(X|=1<<W);continue}for(var ke=0;ke<2;++ke){var ge=ke<<W,ie=ge+(ke<<re)+(1-ke<<ae),Te=ge+(1-ke<<re)+(ke<<ae),Ee=E([h[ge],h[ie],h[Te],h[ge+(1<<re)+(1<<ae)]]);ke?_e=Ee:Me=Ee}if(Me>_e){X|=1<<W;continue}}}for(var Ae=7^X,ze=-1,q=0;q<8;++q)q===X||q===Ae||(ze<0||d[ze][1]>d[q][1])&&(ze=q);for(var Ce=-1,q=0;q<3;++q){var me=ze^1<<q;if(!(me===X||me===Ae)){Ce<0&&(Ce=me);var ae=d[me];ae[0]<d[Ce][0]&&(Ce=me)}}for(var Re=-1,q=0;q<3;++q){var me=ze^1<<q;if(!(me===X||me===Ae||me===Ce)){Re<0&&(Re=me);var ae=d[me];ae[0]>d[Re][0]&&(Re=me)}}var ce=k;ce[0]=ce[1]=ce[2]=0,ce[s.log2(Ce^ze)]=ze&Ce,ce[s.log2(ze^Re)]=ze&Re;var Ge=Re^7;Ge===X||Ge===Ae?(Ge=Ce^7,ce[s.log2(Re^Ge)]=Ge&Re):ce[s.log2(Ce^Ge)]=Ge&Ce;for(var nt=A,ct=X,W=0;W<3;++W)ct&1<<W?nt[W]=-1:nt[W]=1;return L}},501:function(i,a,o){\"use strict\";i.exports=k;var s=o(2762),l=o(8116),u=o(1879).n,c=[0,0,0],f=[0,0,0],h=[0,0,0],d=[0,0,0],v=[1,1];function x(A){return A[0]=A[1]=A[2]=0,A}function b(A,L){return A[0]=L[0],A[1]=L[1],A[2]=L[2],A}function g(A,L,_,C,M,p,P,T){this.gl=A,this.vertBuffer=L,this.vao=_,this.shader=C,this.tickCount=M,this.tickOffset=p,this.gridCount=P,this.gridOffset=T}var E=g.prototype;E.bind=function(A,L,_){this.shader.bind(),this.shader.uniforms.model=A,this.shader.uniforms.view=L,this.shader.uniforms.projection=_,v[0]=this.gl.drawingBufferWidth,v[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=v,this.vao.bind()},E.unbind=function(){this.vao.unbind()},E.drawAxisLine=function(A,L,_,C,M){var p=x(f);this.shader.uniforms.majorAxis=f,p[A]=L[1][A]-L[0][A],this.shader.uniforms.minorAxis=p;var P=b(d,_);P[A]+=L[0][A],this.shader.uniforms.offset=P,this.shader.uniforms.lineWidth=M,this.shader.uniforms.color=C;var T=x(h);T[(A+2)%3]=1,this.shader.uniforms.screenAxis=T,this.vao.draw(this.gl.TRIANGLES,6);var T=x(h);T[(A+1)%3]=1,this.shader.uniforms.screenAxis=T,this.vao.draw(this.gl.TRIANGLES,6)},E.drawAxisTicks=function(A,L,_,C,M){if(this.tickCount[A]){var p=x(c);p[A]=1,this.shader.uniforms.majorAxis=p,this.shader.uniforms.offset=L,this.shader.uniforms.minorAxis=_,this.shader.uniforms.color=C,this.shader.uniforms.lineWidth=M;var P=x(h);P[A]=1,this.shader.uniforms.screenAxis=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[A],this.tickOffset[A])}},E.drawGrid=function(A,L,_,C,M,p){if(this.gridCount[A]){var P=x(f);P[L]=_[1][L]-_[0][L],this.shader.uniforms.minorAxis=P;var T=b(d,C);T[L]+=_[0][L],this.shader.uniforms.offset=T;var F=x(c);F[A]=1,this.shader.uniforms.majorAxis=F;var q=x(h);q[A]=1,this.shader.uniforms.screenAxis=q,this.shader.uniforms.lineWidth=p,this.shader.uniforms.color=M,this.vao.draw(this.gl.TRIANGLES,this.gridCount[A],this.gridOffset[A])}},E.drawZero=function(A,L,_,C,M,p){var P=x(f);this.shader.uniforms.majorAxis=P,P[A]=_[1][A]-_[0][A],this.shader.uniforms.minorAxis=P;var T=b(d,C);T[A]+=_[0][A],this.shader.uniforms.offset=T;var F=x(h);F[L]=1,this.shader.uniforms.screenAxis=F,this.shader.uniforms.lineWidth=p,this.shader.uniforms.color=M,this.vao.draw(this.gl.TRIANGLES,6)},E.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()};function k(A,L,_){var C=[],M=[0,0,0],p=[0,0,0],P=[0,0,0],T=[0,0,0];C.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var F=0;F<3;++F){for(var H=C.length/3|0,q=0;q<_[F].length;++q){var V=+_[F][q].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var G=C.length/3|0;M[F]=H,p[F]=G-H;for(var H=C.length/3|0,X=0;X<_[F].length;++X){var V=+_[F][X].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var G=C.length/3|0;P[F]=H,T[F]=G-H}var N=s(A,new Float32Array(C)),W=l(A,[{buffer:N,type:A.FLOAT,size:3,stride:0,offset:0}]),re=u(A);return re.attributes.position.location=0,new g(A,N,W,re,p,M,T,P)}},1879:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, majorAxis, minorAxis, screenAxis;\n",
+       "uniform float lineWidth;\n",
+       "uniform vec2 screenShape;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 major = position.x * majorAxis;\n",
+       "  vec3 minor = position.y * minorAxis;\n",
+       "\n",
+       "  vec3 vPosition = major + minor + offset;\n",
+       "  vec3 pPosition = project(vPosition);\n",
+       "  vec3 offset = project(vPosition + screenAxis * position.z);\n",
+       "\n",
+       "  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.n=function(x){return l(x,u,c,null,[{name:\"position\",type:\"vec3\"}])};var f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, axis, alignDir, alignOpt;\n",
+       "uniform float scale, angle, pixelScale;\n",
+       "uniform vec2 resolution;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "float computeViewAngle(vec3 a, vec3 b) {\n",
+       "  vec3 A = project(a);\n",
+       "  vec3 B = project(b);\n",
+       "\n",
+       "  return atan(\n",
+       "    (B.y - A.y) * resolution.y,\n",
+       "    (B.x - A.x) * resolution.x\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "const float PI = 3.141592;\n",
+       "const float TWO_PI = 2.0 * PI;\n",
+       "const float HALF_PI = 0.5 * PI;\n",
+       "const float ONE_AND_HALF_PI = 1.5 * PI;\n",
+       "\n",
+       "int option = int(floor(alignOpt.x + 0.001));\n",
+       "float hv_ratio =       alignOpt.y;\n",
+       "bool enableAlign =    (alignOpt.z != 0.0);\n",
+       "\n",
+       "float mod_angle(float a) {\n",
+       "  return mod(a, PI);\n",
+       "}\n",
+       "\n",
+       "float positive_angle(float a) {\n",
+       "  return mod_angle((a < 0.0) ?\n",
+       "    a + TWO_PI :\n",
+       "    a\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "float look_upwards(float a) {\n",
+       "  float b = positive_angle(a);\n",
+       "  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n",
+       "    b - PI :\n",
+       "    b;\n",
+       "}\n",
+       "\n",
+       "float look_horizontal_or_vertical(float a, float ratio) {\n",
+       "  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n",
+       "  // if ratio is set to 0.5 then it is 50%, 50%.\n",
+       "  // when using a higher ratio e.g. 0.75 the result would\n",
+       "  // likely be more horizontal than vertical.\n",
+       "\n",
+       "  float b = positive_angle(a);\n",
+       "\n",
+       "  return\n",
+       "    (b < (      ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n",
+       "    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n",
+       "                                    0.0;\n",
+       "}\n",
+       "\n",
+       "float roundTo(float a, float b) {\n",
+       "  return float(b * floor((a + 0.5 * b) / b));\n",
+       "}\n",
+       "\n",
+       "float look_round_n_directions(float a, int n) {\n",
+       "  float b = positive_angle(a);\n",
+       "  float div = TWO_PI / float(n);\n",
+       "  float c = roundTo(b, div);\n",
+       "  return look_upwards(c);\n",
+       "}\n",
+       "\n",
+       "float applyAlignOption(float rawAngle, float delta) {\n",
+       "  return\n",
+       "    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n",
+       "    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n",
+       "    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n",
+       "    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n",
+       "    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n",
+       "                    rawAngle;                // otherwise return back raw input angle\n",
+       "}\n",
+       "\n",
+       "bool isAxisTitle = (axis.x == 0.0) &&\n",
+       "                   (axis.y == 0.0) &&\n",
+       "                   (axis.z == 0.0);\n",
+       "\n",
+       "void main() {\n",
+       "  //Compute world offset\n",
+       "  float axisDistance = position.z;\n",
+       "  vec3 dataPosition = axisDistance * axis + offset;\n",
+       "\n",
+       "  float beta = angle; // i.e. user defined attributes for each tick\n",
+       "\n",
+       "  float axisAngle;\n",
+       "  float clipAngle;\n",
+       "  float flip;\n",
+       "\n",
+       "  if (enableAlign) {\n",
+       "    axisAngle = (isAxisTitle) ? HALF_PI :\n",
+       "                      computeViewAngle(dataPosition, dataPosition + axis);\n",
+       "    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n",
+       "\n",
+       "    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n",
+       "    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n",
+       "\n",
+       "    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n",
+       "                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n",
+       "\n",
+       "    beta += applyAlignOption(clipAngle, flip * PI);\n",
+       "  }\n",
+       "\n",
+       "  //Compute plane offset\n",
+       "  vec2 planeCoord = position.xy * pixelScale;\n",
+       "\n",
+       "  mat2 planeXform = scale * mat2(\n",
+       "     cos(beta), sin(beta),\n",
+       "    -sin(beta), cos(beta)\n",
+       "  );\n",
+       "\n",
+       "  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n",
+       "\n",
+       "  //Compute clip position\n",
+       "  vec3 clipPosition = project(dataPosition);\n",
+       "\n",
+       "  //Apply text offset in clip coordinates\n",
+       "  clipPosition += vec3(viewOffset, 0.0);\n",
+       "\n",
+       "  //Done\n",
+       "  gl_Position = vec4(clipPosition, 1.0);\n",
+       "}\n",
+       "`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.Q=function(x){return l(x,f,h,null,[{name:\"position\",type:\"vec3\"}])};var d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 enable;\n",
+       "uniform vec3 bounds[2];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "\n",
+       "  vec3 signAxis = sign(bounds[1] - bounds[0]);\n",
+       "\n",
+       "  vec3 realNormal = signAxis * normal;\n",
+       "\n",
+       "  if(dot(realNormal, enable) > 0.0) {\n",
+       "    vec3 minRange = min(bounds[0], bounds[1]);\n",
+       "    vec3 maxRange = max(bounds[0], bounds[1]);\n",
+       "    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n",
+       "    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\n",
+       "  } else {\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  }\n",
+       "\n",
+       "  colorChannel = abs(realNormal);\n",
+       "}\n",
+       "`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 colors[3];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = colorChannel.x * colors[0] +\n",
+       "                 colorChannel.y * colors[1] +\n",
+       "                 colorChannel.z * colors[2];\n",
+       "}`]);a.bg=function(x){return l(x,d,v,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(i,a,o){\"use strict\";i.exports=E;var s=o(2762),l=o(8116),u=o(4359),c=o(1879).Q,f=window||process.global||{},h=f.__TEXT_CACHE||{};f.__TEXT_CACHE={};var d=3;function v(k,A,L,_){this.gl=k,this.shader=A,this.buffer=L,this.vao=_,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var x=v.prototype,b=[0,0];x.bind=function(k,A,L,_){this.vao.bind(),this.shader.bind();var C=this.shader.uniforms;C.model=k,C.view=A,C.projection=L,C.pixelScale=_,b[0]=this.gl.drawingBufferWidth,b[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=b},x.unbind=function(){this.vao.unbind()},x.update=function(k,A,L,_,C){var M=[];function p(W,re,ae,_e,Me,ke){var ge=[ae.style,ae.weight,ae.variant,ae.family].join(\"_\"),ie=h[ge];ie||(ie=h[ge]={});var Te=ie[re];Te||(Te=ie[re]=g(re,{triangles:!0,font:ae.family,fontStyle:ae.style,fontWeight:ae.weight,fontVariant:ae.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:Me,styletags:ke}));for(var Ee=(_e||12)/12,Ae=Te.positions,ze=Te.cells,Ce=0,me=ze.length;Ce<me;++Ce)for(var Re=ze[Ce],ce=2;ce>=0;--ce){var Ge=Ae[Re[ce]];M.push(Ee*Ge[0],-Ee*Ge[1],W)}}for(var P=[0,0,0],T=[0,0,0],F=[0,0,0],q=[0,0,0],V=1.25,H={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},X=0;X<3;++X){F[X]=M.length/d|0,p(.5*(k[0][X]+k[1][X]),A[X],L[X],12,V,H),q[X]=(M.length/d|0)-F[X],P[X]=M.length/d|0;for(var G=0;G<_[X].length;++G)if(_[X][G].text){var N={family:_[X][G].font||C[X].family,style:C[X].fontStyle||C[X].style,weight:C[X].fontWeight||C[X].weight,variant:C[X].fontVariant||C[X].variant};p(_[X][G].x,_[X][G].text,N,_[X][G].fontSize||12,V,H)}T[X]=(M.length/d|0)-P[X]}this.buffer.update(M),this.tickOffset=P,this.tickCount=T,this.labelOffset=F,this.labelCount=q},x.drawTicks=function(k,A,L,_,C,M,p,P){this.tickCount[k]&&(this.shader.uniforms.axis=M,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=A,this.shader.uniforms.offset=_,this.shader.uniforms.alignDir=p,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[k],this.tickOffset[k]))},x.drawLabel=function(k,A,L,_,C,M,p,P){this.labelCount[k]&&(this.shader.uniforms.axis=M,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=A,this.shader.uniforms.offset=_,this.shader.uniforms.alignDir=p,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.labelCount[k],this.labelOffset[k]))},x.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()};function g(k,A){try{return u(k,A)}catch(L){return console.warn('error vectorizing text:\"'+k+'\" error:',L),{cells:[],positions:[]}}}function E(k,A,L,_,C,M){var p=s(k),P=l(k,[{buffer:p,size:3}]),T=c(k);T.attributes.position.location=0;var F=new v(k,T,p,P);return F.update(A,L,_,C,M),F}},6444:function(i,a){\"use strict\";a.create=s,a.equal=l;function o(u,c){var f=u+\"\",h=f.indexOf(\".\"),d=0;h>=0&&(d=f.length-h-1);var v=Math.pow(10,d),x=Math.round(u*c*v),b=x+\"\";if(b.indexOf(\"e\")>=0)return b;var g=x/v,E=x%v;x<0?(g=-Math.ceil(g)|0,E=-E|0):(g=Math.floor(g)|0,E=E|0);var k=\"\"+g;if(x<0&&(k=\"-\"+k),d){for(var A=\"\"+E;A.length<d;)A=\"0\"+A;return k+\".\"+A}else return k}function s(u,c){for(var f=[],h=0;h<3;++h){for(var d=[],v=.5*(u[0][h]+u[1][h]),x=0;x*c[h]<=u[1][h];++x)d.push({x:x*c[h],text:o(c[h],x)});for(var x=-1;x*c[h]>=u[0][h];--x)d.push({x:x*c[h],text:o(c[h],x)});f.push(d)}return f}function l(u,c){for(var f=0;f<3;++f){if(u[f].length!==c[f].length)return!1;for(var h=0;h<u[f].length;++h){var d=u[f][h],v=c[f][h];if(d.x!==v.x||d.text!==v.text||d.font!==v.font||d.fontColor!==v.fontColor||d.fontSize!==v.fontSize||d.dx!==v.dx||d.dy!==v.dy)return!1}}return!0}},5445:function(i,a,o){\"use strict\";i.exports=L;var s=o(5033),l=o(5202),u=o(6429),c=o(6760),f=o(5665),h=o(5352),d=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),v=new Float32Array(16);function x(_,C,M){this.lo=_,this.hi=C,this.pixelsPerDataUnit=M}var b=[0,0,0,1],g=[0,0,0,1];function E(_,C,M,p,P){for(var T=0;T<3;++T){for(var F=b,q=g,V=0;V<3;++V)q[V]=F[V]=M[V];q[3]=F[3]=1,q[T]+=1,h(q,q,C),q[3]<0&&(_[T]=1/0),F[T]-=1,h(F,F,C),F[3]<0&&(_[T]=1/0);var H=(F[0]/F[3]-q[0]/q[3])*p,X=(F[1]/F[3]-q[1]/q[3])*P;_[T]=.25*Math.sqrt(H*H+X*X)}return _}var k=[new x(1/0,-1/0,1/0),new x(1/0,-1/0,1/0),new x(1/0,-1/0,1/0)],A=[0,0,0];function L(_,C,M,p,X){var T=C.model||d,F=C.view||d,q=C.projection||d,V=C._ortho||!1,H=_.bounds,X=X||u(T,F,q,H,V),G=X.axis;c(v,F,T),c(v,q,v);for(var N=k,W=0;W<3;++W)N[W].lo=1/0,N[W].hi=-1/0,N[W].pixelsPerDataUnit=1/0;var re=s(f(v,v));f(v,v);for(var ae=0;ae<3;++ae){var _e=(ae+1)%3,Me=(ae+2)%3,ke=A;e:for(var W=0;W<2;++W){var ge=[];if(G[ae]<0!=!!W){ke[ae]=H[W][ae];for(var ie=0;ie<2;++ie){ke[_e]=H[ie^W][_e];for(var Te=0;Te<2;++Te)ke[Me]=H[Te^ie^W][Me],ge.push(ke.slice())}for(var Ee=V?5:4,ie=Ee;ie===Ee;++ie){if(ge.length===0)continue e;ge=l.positive(ge,re[ie])}for(var ie=0;ie<ge.length;++ie)for(var Me=ge[ie],Ae=E(A,v,Me,M,p),Te=0;Te<3;++Te)N[Te].lo=Math.min(N[Te].lo,Me[Te]),N[Te].hi=Math.max(N[Te].hi,Me[Te]),Te!==ae&&(N[Te].pixelsPerDataUnit=Math.min(N[Te].pixelsPerDataUnit,Math.abs(Ae[Te])))}}}return N}},2762:function(i,a,o){\"use strict\";var s=o(1888),l=o(5298),u=o(9618),c=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function f(g,E,k,A,L){this.gl=g,this.type=E,this.handle=k,this.length=A,this.usage=L}var h=f.prototype;h.bind=function(){this.gl.bindBuffer(this.type,this.handle)},h.unbind=function(){this.gl.bindBuffer(this.type,null)},h.dispose=function(){this.gl.deleteBuffer(this.handle)};function d(g,E,k,A,L,_){var C=L.length*L.BYTES_PER_ELEMENT;if(_<0)return g.bufferData(E,L,A),C;if(C+_>k)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return g.bufferSubData(E,_,L),k}function v(g,E){for(var k=s.malloc(g.length,E),A=g.length,L=0;L<A;++L)k[L]=g[L];return k}function x(g,E){for(var k=1,A=E.length-1;A>=0;--A){if(E[A]!==k)return!1;k*=g[A]}return!0}h.update=function(g,E){if(typeof E!=\"number\"&&(E=-1),this.bind(),typeof g==\"object\"&&typeof g.shape!=\"undefined\"){var k=g.dtype;if(c.indexOf(k)<0&&(k=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var A=gl.getExtension(\"OES_element_index_uint\");A&&k!==\"uint16\"?k=\"uint32\":k=\"uint16\"}if(k===g.dtype&&x(g.shape,g.stride))g.offset===0&&g.data.length===g.shape[0]?this.length=d(this.gl,this.type,this.length,this.usage,g.data,E):this.length=d(this.gl,this.type,this.length,this.usage,g.data.subarray(g.offset,g.shape[0]),E);else{var L=s.malloc(g.size,k),_=u(L,g.shape);l.assign(_,g),E<0?this.length=d(this.gl,this.type,this.length,this.usage,L,E):this.length=d(this.gl,this.type,this.length,this.usage,L.subarray(0,g.size),E),s.free(L)}}else if(Array.isArray(g)){var C;this.type===this.gl.ELEMENT_ARRAY_BUFFER?C=v(g,\"uint16\"):C=v(g,\"float32\"),E<0?this.length=d(this.gl,this.type,this.length,this.usage,C,E):this.length=d(this.gl,this.type,this.length,this.usage,C.subarray(0,g.length),E),s.free(C)}else if(typeof g==\"object\"&&typeof g.length==\"number\")this.length=d(this.gl,this.type,this.length,this.usage,g,E);else if(typeof g==\"number\"||g===void 0){if(E>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");g=g|0,g<=0&&(g=1),this.gl.bufferData(this.type,g|0,this.usage),this.length=g}else throw new Error(\"gl-buffer: Invalid data type\")};function b(g,E,k,A){if(k=k||g.ARRAY_BUFFER,A=A||g.DYNAMIC_DRAW,k!==g.ARRAY_BUFFER&&k!==g.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(A!==g.DYNAMIC_DRAW&&A!==g.STATIC_DRAW&&A!==g.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var L=g.createBuffer(),_=new f(g,k,L,0,A);return _.update(E),_}i.exports=b},6405:function(i,a,o){\"use strict\";var s=o(2931);i.exports=function(u,c){var f=u.positions,h=u.vectors,d={positions:[],vertexIntensity:[],vertexIntensityBounds:u.vertexIntensityBounds,vectors:[],cells:[],coneOffset:u.coneOffset,colormap:u.colormap};if(u.positions.length===0)return c&&(c[0]=[0,0,0],c[1]=[0,0,0]),d;for(var v=0,x=1/0,b=-1/0,g=1/0,E=-1/0,k=1/0,A=-1/0,L=null,_=null,C=[],M=1/0,p=!1,P=u.coneSizemode===\"raw\",T=0;T<f.length;T++){var F=f[T];x=Math.min(F[0],x),b=Math.max(F[0],b),g=Math.min(F[1],g),E=Math.max(F[1],E),k=Math.min(F[2],k),A=Math.max(F[2],A);var q=h[T];if(s.length(q)>v&&(v=s.length(q)),T&&!P){var V=2*s.distance(L,F)/(s.length(_)+s.length(q));V?(M=Math.min(M,V),p=!1):p=!0}p||(L=F,_=q),C.push(q)}var H=[x,g,k],X=[b,E,A];c&&(c[0]=H,c[1]=X),v===0&&(v=1);var G=1/v;isFinite(M)||(M=1),d.vectorScale=M;var N=u.coneSize||(P?1:.5);u.absoluteConeSize&&(N=u.absoluteConeSize*G),d.coneScale=N;for(var T=0,W=0;T<f.length;T++)for(var F=f[T],re=F[0],ae=F[1],_e=F[2],Me=C[T],ke=s.length(Me)*G,ge=0,ie=8;ge<ie;ge++){d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.positions.push([re,ae,_e,W++]),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vertexIntensity.push(ke,ke,ke),d.vertexIntensity.push(ke,ke,ke);var Te=d.positions.length;d.cells.push([Te-6,Te-5,Te-4],[Te-3,Te-2,Te-1])}return d};var l=o(614);i.exports.createMesh=o(9060),i.exports.createConeMesh=function(u,c){return i.exports.createMesh(u,c,{shaders:l,traceType:\"cone\"})}},9060:function(i,a,o){\"use strict\";var s=o(9405),l=o(2762),u=o(8116),c=o(7766),f=o(6760),h=o(7608),d=o(9618),v=o(6729),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function b(C,M,p,P,T,F,q,V,H,X,G){this.gl=C,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=M,this.dirty=!0,this.triShader=p,this.pickShader=P,this.trianglePositions=T,this.triangleVectors=F,this.triangleColors=V,this.triangleUVs=H,this.triangleIds=q,this.triangleVAO=X,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=G,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=x,this._view=x,this._projection=x,this._resolution=[1,1]}var g=b.prototype;g.isOpaque=function(){return this.opacity>=1},g.isTransparent=function(){return this.opacity<1},g.pickSlots=1,g.setPickBase=function(C){this.pickId=C};function E(C){for(var M=v({colormap:C,nshades:256,format:\"rgba\"}),p=new Uint8Array(256*4),P=0;P<256;++P){for(var T=M[P],F=0;F<3;++F)p[4*P+F]=T[F];p[4*P+3]=T[3]*255}return d(p,[256,256,4],[4,0,1])}function k(C){for(var M=C.length,p=new Array(M),P=0;P<M;++P)p[P]=C[P][2];return p}g.update=function(C){C=C||{};var M=this.gl;this.dirty=!0,\"lightPosition\"in C&&(this.lightPosition=C.lightPosition),\"opacity\"in C&&(this.opacity=C.opacity),\"ambient\"in C&&(this.ambientLight=C.ambient),\"diffuse\"in C&&(this.diffuseLight=C.diffuse),\"specular\"in C&&(this.specularLight=C.specular),\"roughness\"in C&&(this.roughness=C.roughness),\"fresnel\"in C&&(this.fresnel=C.fresnel),C.tubeScale!==void 0&&(this.tubeScale=C.tubeScale),C.vectorScale!==void 0&&(this.vectorScale=C.vectorScale),C.coneScale!==void 0&&(this.coneScale=C.coneScale),C.coneOffset!==void 0&&(this.coneOffset=C.coneOffset),C.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=M.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=M.LINEAR,this.texture.setPixels(E(C.colormap)),this.texture.generateMipmap());var p=C.cells,P=C.positions,T=C.vectors;if(!(!P||!p||!T)){var F=[],q=[],V=[],H=[],X=[];this.cells=p,this.positions=P,this.vectors=T;var G=C.meshColor||[1,1,1,1],N=C.vertexIntensity,W=1/0,re=-1/0;if(N)if(C.vertexIntensityBounds)W=+C.vertexIntensityBounds[0],re=+C.vertexIntensityBounds[1];else for(var ae=0;ae<N.length;++ae){var _e=N[ae];W=Math.min(W,_e),re=Math.max(re,_e)}else for(var ae=0;ae<P.length;++ae){var _e=P[ae][2];W=Math.min(W,_e),re=Math.max(re,_e)}N?this.intensity=N:this.intensity=k(P),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var ae=0;ae<P.length;++ae)for(var Me=P[ae],ke=0;ke<3;++ke)isNaN(Me[ke])||!isFinite(Me[ke])||(this.bounds[0][ke]=Math.min(this.bounds[0][ke],Me[ke]),this.bounds[1][ke]=Math.max(this.bounds[1][ke],Me[ke]));var ge=0;e:for(var ae=0;ae<p.length;++ae){var ie=p[ae];switch(ie.length){case 3:for(var ke=0;ke<3;++ke)for(var Te=ie[ke],Me=P[Te],Ee=0;Ee<3;++Ee)if(isNaN(Me[Ee])||!isFinite(Me[Ee]))continue e;for(var ke=0;ke<3;++ke){var Te=ie[2-ke],Me=P[Te];F.push(Me[0],Me[1],Me[2],Me[3]);var Ae=T[Te];q.push(Ae[0],Ae[1],Ae[2],Ae[3]||0);var ze=G;ze.length===3?V.push(ze[0],ze[1],ze[2],1):V.push(ze[0],ze[1],ze[2],ze[3]);var Ce;N?Ce=[(N[Te]-W)/(re-W),0]:Ce=[(Me[2]-W)/(re-W),0],H.push(Ce[0],Ce[1]),X.push(ae)}ge+=1;break;default:break}}this.triangleCount=ge,this.trianglePositions.update(F),this.triangleVectors.update(q),this.triangleColors.update(V),this.triangleUVs.update(H),this.triangleIds.update(new Uint32Array(X))}},g.drawTransparent=g.draw=function(C){C=C||{};for(var M=this.gl,p=C.model||x,P=C.view||x,T=C.projection||x,F=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)F[0][q]=Math.max(F[0][q],this.clipBounds[0][q]),F[1][q]=Math.min(F[1][q],this.clipBounds[1][q]);var V={model:p,view:P,projection:T,inverseModel:x.slice(),clipBounds:F,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};V.inverseModel=h(V.inverseModel,V.model),M.disable(M.CULL_FACE),this.texture.bind(0);var H=new Array(16);f(H,V.view,V.model),f(H,V.projection,H),h(H,H);for(var q=0;q<3;++q)V.eyePosition[q]=H[12+q]/H[15];for(var X=H[15],q=0;q<3;++q)X+=this.lightPosition[q]*H[4*q+3];for(var q=0;q<3;++q){for(var G=H[12+q],N=0;N<3;++N)G+=H[4*N+q]*this.lightPosition[N];V.lightPosition[q]=G/X}if(this.triangleCount>0){var W=this.triShader;W.bind(),W.uniforms=V,this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},g.drawPick=function(C){C=C||{};for(var M=this.gl,p=C.model||x,P=C.view||x,T=C.projection||x,F=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)F[0][q]=Math.max(F[0][q],this.clipBounds[0][q]),F[1][q]=Math.min(F[1][q],this.clipBounds[1][q]);this._model=[].slice.call(p),this._view=[].slice.call(P),this._projection=[].slice.call(T),this._resolution=[M.drawingBufferWidth,M.drawingBufferHeight];var V={model:p,view:P,projection:T,clipBounds:F,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},H=this.pickShader;H.bind(),H.uniforms=V,this.triangleCount>0&&(this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},g.pick=function(C){if(!C||C.id!==this.pickId)return null;var M=C.value[0]+256*C.value[1]+65536*C.value[2],p=this.cells[M],P=this.positions[p[1]].slice(0,3),T={position:P,dataCoordinate:P,index:Math.floor(p[1]/48)};return this.traceType===\"cone\"?T.index=Math.floor(p[1]/48):this.traceType===\"streamtube\"&&(T.intensity=this.intensity[p[1]],T.velocity=this.vectors[p[1]].slice(0,3),T.divergence=this.vectors[p[1]][3],T.index=M),T},g.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()};function A(C,M){var p=s(C,M.meshShader.vertex,M.meshShader.fragment,null,M.meshShader.attributes);return p.attributes.position.location=0,p.attributes.color.location=2,p.attributes.uv.location=3,p.attributes.vector.location=4,p}function L(C,M){var p=s(C,M.pickShader.vertex,M.pickShader.fragment,null,M.pickShader.attributes);return p.attributes.position.location=0,p.attributes.id.location=1,p.attributes.vector.location=4,p}function _(C,M,p){var P=p.shaders;arguments.length===1&&(M=C,C=M.gl);var T=A(C,P),F=L(C,P),q=c(C,d(new Uint8Array([255,255,255,255]),[1,1,4]));q.generateMipmap(),q.minFilter=C.LINEAR_MIPMAP_LINEAR,q.magFilter=C.LINEAR;var V=l(C),H=l(C),X=l(C),G=l(C),N=l(C),W=u(C,[{buffer:V,type:C.FLOAT,size:4},{buffer:N,type:C.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:X,type:C.FLOAT,size:4},{buffer:G,type:C.FLOAT,size:2},{buffer:H,type:C.FLOAT,size:4}]),re=new b(C,q,T,F,V,H,N,X,G,W,p.traceType||\"cone\");return re.update(M),re}i.exports=_},614:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec3 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * conePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(conePosition, 1.0);\n",
+       "  vec4 t_position  = view * conePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = conePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "  gl_Position = projection * (view * conePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(i){i.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(i,a,o){var s=o(737);i.exports=function(u){return s[u]}},9165:function(i,a,o){\"use strict\";i.exports=b;var s=o(2762),l=o(8116),u=o(3436),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(g,E,k,A){this.gl=g,this.shader=A,this.buffer=E,this.vao=k,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var h=f.prototype;h.isOpaque=function(){return!this.hasAlpha},h.isTransparent=function(){return this.hasAlpha},h.drawTransparent=h.draw=function(g){var E=this.gl,k=this.shader.uniforms;this.shader.bind();var A=k.view=g.view||c,L=k.projection=g.projection||c;k.model=g.model||c,k.clipBounds=this.clipBounds,k.opacity=this.opacity;var _=A[12],C=A[13],M=A[14],p=A[15],P=g._ortho||!1,T=P?2:1,F=T*this.pixelRatio*(L[3]*_+L[7]*C+L[11]*M+L[15]*p)/E.drawingBufferHeight;this.vao.bind();for(var q=0;q<3;++q)E.lineWidth(this.lineWidth[q]*this.pixelRatio),k.capSize=this.capSize[q]*F,this.lineCount[q]&&E.drawArrays(E.LINES,this.lineOffset[q],this.lineCount[q]);this.vao.unbind()};function d(g,E){for(var k=0;k<3;++k)g[0][k]=Math.min(g[0][k],E[k]),g[1][k]=Math.max(g[1][k],E[k])}var v=function(){for(var g=new Array(3),E=0;E<3;++E){for(var k=[],A=1;A<=2;++A)for(var L=-1;L<=1;L+=2){var _=(A+E)%3,C=[0,0,0];C[_]=L,k.push(C)}g[E]=k}return g}();function x(g,E,k,A){for(var L=v[A],_=0;_<L.length;++_){var C=L[_];g.push(E[0],E[1],E[2],k[0],k[1],k[2],k[3],C[0],C[1],C[2])}return L.length}h.update=function(g){g=g||{},\"lineWidth\"in g&&(this.lineWidth=g.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in g&&(this.capSize=g.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in g&&(this.opacity=+g.opacity,this.opacity<1&&(this.hasAlpha=!0));var E=g.color||[[0,0,0],[0,0,0],[0,0,0]],k=g.position,A=g.error;if(Array.isArray(E[0])||(E=[E,E,E]),k&&A){var L=[],_=k.length,C=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var M=0;M<3;++M){this.lineOffset[M]=C;e:for(var p=0;p<_;++p){for(var P=k[p],T=0;T<3;++T)if(isNaN(P[T])||!isFinite(P[T]))continue e;var F=A[p],q=E[M];if(Array.isArray(q[0])&&(q=E[p]),q.length===3?q=[q[0],q[1],q[2],1]:q.length===4&&(q=[q[0],q[1],q[2],q[3]],!this.hasAlpha&&q[3]<1&&(this.hasAlpha=!0)),!(isNaN(F[0][M])||isNaN(F[1][M]))){if(F[0][M]<0){var V=P.slice();V[M]+=F[0][M],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+x(L,V,q,M)}if(F[1][M]>0){var V=P.slice();V[M]+=F[1][M],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+x(L,V,q,M)}}}this.lineCount[M]=C-this.lineOffset[M]}this.buffer.update(L)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()};function b(g){var E=g.gl,k=s(E),A=l(E,[{buffer:k,type:E.FLOAT,size:3,offset:0,stride:40},{buffer:k,type:E.FLOAT,size:4,offset:12,stride:40},{buffer:k,type:E.FLOAT,size:3,offset:28,stride:40}]),L=u(E);L.attributes.position.location=0,L.attributes.color.location=1,L.attributes.offset.location=2;var _=new f(E,k,A,L);return _.update(g),_}},3436:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, offset;\n",
+       "attribute vec4 color;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float capSize;\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 fragPosition;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 worldPosition  = model * vec4(position, 1.0);\n",
+       "  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n",
+       "  gl_Position         = projection * (view * worldPosition);\n",
+       "  fragColor           = color;\n",
+       "  fragPosition        = position;\n",
+       "}`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float opacity;\n",
+       "varying vec3 fragPosition;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  gl_FragColor = opacity * fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(i,a,o){\"use strict\";var s=o(7766);i.exports=C;var l=null,u,c,f,h;function d(M){var p=M.getParameter(M.FRAMEBUFFER_BINDING),P=M.getParameter(M.RENDERBUFFER_BINDING),T=M.getParameter(M.TEXTURE_BINDING_2D);return[p,P,T]}function v(M,p){M.bindFramebuffer(M.FRAMEBUFFER,p[0]),M.bindRenderbuffer(M.RENDERBUFFER,p[1]),M.bindTexture(M.TEXTURE_2D,p[2])}function x(M,p){var P=M.getParameter(p.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(P+1);for(var T=0;T<=P;++T){for(var F=new Array(P),q=0;q<T;++q)F[q]=M.COLOR_ATTACHMENT0+q;for(var q=T;q<P;++q)F[q]=M.NONE;l[T]=F}}function b(M){switch(M){case u:throw new Error(\"gl-fbo: Framebuffer unsupported\");case c:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case f:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case h:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function g(M,p,P,T,F,q){if(!T)return null;var V=s(M,p,P,F,T);return V.magFilter=M.NEAREST,V.minFilter=M.NEAREST,V.mipSamples=1,V.bind(),M.framebufferTexture2D(M.FRAMEBUFFER,q,M.TEXTURE_2D,V.handle,0),V}function E(M,p,P,T,F){var q=M.createRenderbuffer();return M.bindRenderbuffer(M.RENDERBUFFER,q),M.renderbufferStorage(M.RENDERBUFFER,T,p,P),M.framebufferRenderbuffer(M.FRAMEBUFFER,F,M.RENDERBUFFER,q),q}function k(M){var p=d(M.gl),P=M.gl,T=M.handle=P.createFramebuffer(),F=M._shape[0],q=M._shape[1],V=M.color.length,H=M._ext,X=M._useStencil,G=M._useDepth,N=M._colorType;P.bindFramebuffer(P.FRAMEBUFFER,T);for(var W=0;W<V;++W)M.color[W]=g(P,F,q,N,P.RGBA,P.COLOR_ATTACHMENT0+W);V===0?(M._color_rb=E(P,F,q,P.RGBA4,P.COLOR_ATTACHMENT0),H&&H.drawBuffersWEBGL(l[0])):V>1&&H.drawBuffersWEBGL(l[V]);var re=P.getExtension(\"WEBGL_depth_texture\");re?X?M.depth=g(P,F,q,re.UNSIGNED_INT_24_8_WEBGL,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):G&&(M.depth=g(P,F,q,P.UNSIGNED_SHORT,P.DEPTH_COMPONENT,P.DEPTH_ATTACHMENT)):G&&X?M._depth_rb=E(P,F,q,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):G?M._depth_rb=E(P,F,q,P.DEPTH_COMPONENT16,P.DEPTH_ATTACHMENT):X&&(M._depth_rb=E(P,F,q,P.STENCIL_INDEX,P.STENCIL_ATTACHMENT));var ae=P.checkFramebufferStatus(P.FRAMEBUFFER);if(ae!==P.FRAMEBUFFER_COMPLETE){M._destroyed=!0,P.bindFramebuffer(P.FRAMEBUFFER,null),P.deleteFramebuffer(M.handle),M.handle=null,M.depth&&(M.depth.dispose(),M.depth=null),M._depth_rb&&(P.deleteRenderbuffer(M._depth_rb),M._depth_rb=null);for(var W=0;W<M.color.length;++W)M.color[W].dispose(),M.color[W]=null;M._color_rb&&(P.deleteRenderbuffer(M._color_rb),M._color_rb=null),v(P,p),b(ae)}v(P,p)}function A(M,p,P,T,F,q,V,H){this.gl=M,this._shape=[p|0,P|0],this._destroyed=!1,this._ext=H,this.color=new Array(F);for(var X=0;X<F;++X)this.color[X]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=T,this._useDepth=q,this._useStencil=V;var G=this,N=[p|0,P|0];Object.defineProperties(N,{0:{get:function(){return G._shape[0]},set:function(W){return G.width=W}},1:{get:function(){return G._shape[1]},set:function(W){return G.height=W}}}),this._shapeVector=N,k(this)}var L=A.prototype;function _(M,p,P){if(M._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(!(M._shape[0]===p&&M._shape[1]===P)){var T=M.gl,F=T.getParameter(T.MAX_RENDERBUFFER_SIZE);if(p<0||p>F||P<0||P>F)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");M._shape[0]=p,M._shape[1]=P;for(var q=d(T),V=0;V<M.color.length;++V)M.color[V].shape=M._shape;M._color_rb&&(T.bindRenderbuffer(T.RENDERBUFFER,M._color_rb),T.renderbufferStorage(T.RENDERBUFFER,T.RGBA4,M._shape[0],M._shape[1])),M.depth&&(M.depth.shape=M._shape),M._depth_rb&&(T.bindRenderbuffer(T.RENDERBUFFER,M._depth_rb),M._useDepth&&M._useStencil?T.renderbufferStorage(T.RENDERBUFFER,T.DEPTH_STENCIL,M._shape[0],M._shape[1]):M._useDepth?T.renderbufferStorage(T.RENDERBUFFER,T.DEPTH_COMPONENT16,M._shape[0],M._shape[1]):M._useStencil&&T.renderbufferStorage(T.RENDERBUFFER,T.STENCIL_INDEX,M._shape[0],M._shape[1])),T.bindFramebuffer(T.FRAMEBUFFER,M.handle);var H=T.checkFramebufferStatus(T.FRAMEBUFFER);H!==T.FRAMEBUFFER_COMPLETE&&(M.dispose(),v(T,q),b(H)),v(T,q)}}Object.defineProperties(L,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(M){if(Array.isArray(M)||(M=[M|0,M|0]),M.length!==2)throw new Error(\"gl-fbo: Shape vector must be length 2\");var p=M[0]|0,P=M[1]|0;return _(this,p,P),[p,P]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(M){return M=M|0,_(this,M,this._shape[1]),M},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(M){return M=M|0,_(this,this._shape[0],M),M},enumerable:!1}}),L.bind=function(){if(!this._destroyed){var M=this.gl;M.bindFramebuffer(M.FRAMEBUFFER,this.handle),M.viewport(0,0,this._shape[0],this._shape[1])}},L.dispose=function(){if(!this._destroyed){this._destroyed=!0;var M=this.gl;M.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(M.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var p=0;p<this.color.length;++p)this.color[p].dispose(),this.color[p]=null;this._color_rb&&(M.deleteRenderbuffer(this._color_rb),this._color_rb=null)}};function C(M,p,P,T){u||(u=M.FRAMEBUFFER_UNSUPPORTED,c=M.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,f=M.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,h=M.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var F=M.getExtension(\"WEBGL_draw_buffers\");if(!l&&F&&x(M,F),Array.isArray(p)&&(T=P,P=p[1]|0,p=p[0]|0),typeof p!=\"number\")throw new Error(\"gl-fbo: Missing shape parameter\");var q=M.getParameter(M.MAX_RENDERBUFFER_SIZE);if(p<0||p>q||P<0||P>q)throw new Error(\"gl-fbo: Parameters are too large for FBO\");T=T||{};var V=1;if(\"color\"in T){if(V=Math.max(T.color|0,0),V<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(V>1)if(F){if(V>M.getParameter(F.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+V+\" draw buffers\")}else throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\")}var H=M.UNSIGNED_BYTE,X=M.getExtension(\"OES_texture_float\");if(T.float&&V>0){if(!X)throw new Error(\"gl-fbo: Context does not support floating point textures\");H=M.FLOAT}else T.preferFloat&&V>0&&X&&(H=M.FLOAT);var G=!0;\"depth\"in T&&(G=!!T.depth);var N=!1;return\"stencil\"in T&&(N=!!T.stencil),new A(M,p,P,H,V,G,N,F)}},2992:function(i,a,o){var s=o(3387).sprintf,l=o(5171),u=o(1848),c=o(1085);i.exports=f;function f(h,d,v){\"use strict\";var x=u(d)||\"of unknown name (see npm glsl-shader-name)\",b=\"unknown type\";v!==void 0&&(b=v===l.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var g=s(`Error compiling %s shader %s:\n",
+       "`,b,x),E=s(\"%s%s\",g,h),k=h.split(`\n",
+       "`),A={},L=0;L<k.length;L++){var _=k[L];if(!(_===\"\"||_===\"\\0\")){var C=parseInt(_.split(\":\")[2]);if(isNaN(C))throw new Error(s(\"Could not parse error: %s\",_));A[C]=_}}for(var M=c(d).split(`\n",
+       "`),L=0;L<M.length;L++)if(!(!A[L+3]&&!A[L+2]&&!A[L+1])){var p=M[L];if(g+=p+`\n",
+       "`,A[L+1]){var P=A[L+1];P=P.substr(P.split(\":\",3).join(\":\").length+1).trim(),g+=s(`^^^ %s\n",
+       "\n",
+       "`,P)}}return{long:g.trim(),short:E.trim()}}},7319:function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, nextPosition;\n",
+       "attribute float arcLength, lineWidth;\n",
+       "attribute vec4 color;\n",
+       "\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float pixelRatio;\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 startPoint = project(position);\n",
+       "  vec4 endPoint   = project(nextPosition);\n",
+       "\n",
+       "  vec2 A = startPoint.xy / startPoint.w;\n",
+       "  vec2 B =   endPoint.xy /   endPoint.w;\n",
+       "\n",
+       "  float clipAngle = atan(\n",
+       "    (B.y - A.y) * screenShape.y,\n",
+       "    (B.x - A.x) * screenShape.x\n",
+       "  );\n",
+       "\n",
+       "  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n",
+       "    sin(clipAngle),\n",
+       "    -cos(clipAngle)\n",
+       "  ) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n",
+       "\n",
+       "  worldPosition = position;\n",
+       "  pixelArcLength = arcLength;\n",
+       "  fragColor = color;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3      clipBounds[2];\n",
+       "uniform sampler2D dashTexture;\n",
+       "uniform float     dashScale;\n",
+       "uniform float     opacity;\n",
+       "\n",
+       "varying vec3    worldPosition;\n",
+       "varying float   pixelArcLength;\n",
+       "varying vec4    fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n",
+       "  if(dashWeight < 0.5) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = fragColor * opacity;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "#define FLOAT_MAX  1.70141184e38\n",
+       "#define FLOAT_MIN  1.17549435e-38\n",
+       "\n",
+       "// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\n",
+       "vec4 packFloat(float v) {\n",
+       "  float av = abs(v);\n",
+       "\n",
+       "  //Handle special cases\n",
+       "  if(av < FLOAT_MIN) {\n",
+       "    return vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else if(v > FLOAT_MAX) {\n",
+       "    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  } else if(v < -FLOAT_MAX) {\n",
+       "    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  }\n",
+       "\n",
+       "  vec4 c = vec4(0,0,0,0);\n",
+       "\n",
+       "  //Compute exponent and mantissa\n",
+       "  float e = floor(log2(av));\n",
+       "  float m = av * pow(2.0, -e) - 1.0;\n",
+       "\n",
+       "  //Unpack mantissa\n",
+       "  c[1] = floor(128.0 * m);\n",
+       "  m -= c[1] / 128.0;\n",
+       "  c[2] = floor(32768.0 * m);\n",
+       "  m -= c[2] / 32768.0;\n",
+       "  c[3] = floor(8388608.0 * m);\n",
+       "\n",
+       "  //Unpack exponent\n",
+       "  float ebias = e + 127.0;\n",
+       "  c[0] = floor(ebias / 2.0);\n",
+       "  ebias -= c[0] * 2.0;\n",
+       "  c[1] += floor(ebias) * 128.0;\n",
+       "\n",
+       "  //Unpack sign bit\n",
+       "  c[0] += 128.0 * step(0.0, -v);\n",
+       "\n",
+       "  //Scale back to range\n",
+       "  return c / 255.0;\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform float pickId;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n",
+       "}`]),h=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];a.createShader=function(d){return l(d,u,c,null,h)},a.createPickShader=function(d){return l(d,u,f,null,h)}},5714:function(i,a,o){\"use strict\";i.exports=M;var s=o(2762),l=o(8116),u=o(7766),c=new Uint8Array(4),f=new Float32Array(c.buffer);function h(p,P,T,F){return c[0]=F,c[1]=T,c[2]=P,c[3]=p,f[0]}var d=o(2478),v=o(9618),x=o(7319),b=x.createShader,g=x.createPickShader,E=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(p,P){for(var T=0,F=0;F<3;++F){var q=p[F]-P[F];T+=q*q}return Math.sqrt(T)}function A(p){for(var P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],T=0;T<3;++T)P[0][T]=Math.max(p[0][T],P[0][T]),P[1][T]=Math.min(p[1][T],P[1][T]);return P}function L(p,P,T,F){this.arcLength=p,this.position=P,this.index=T,this.dataCoordinate=F}function _(p,P,T,F,q,V){this.gl=p,this.shader=P,this.pickShader=T,this.buffer=F,this.vao=q,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=V,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var C=_.prototype;C.isTransparent=function(){return this.hasAlpha},C.isOpaque=function(){return!this.hasAlpha},C.pickSlots=1,C.setPickBase=function(p){this.pickId=p},C.drawTransparent=C.draw=function(p){if(this.vertexCount){var P=this.gl,T=this.shader,F=this.vao;T.bind(),T.uniforms={model:p.model||E,view:p.view||E,projection:p.projection||E,clipBounds:A(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},F.bind(),F.draw(P.TRIANGLE_STRIP,this.vertexCount),F.unbind()}},C.drawPick=function(p){if(this.vertexCount){var P=this.gl,T=this.pickShader,F=this.vao;T.bind(),T.uniforms={model:p.model||E,view:p.view||E,projection:p.projection||E,pickId:this.pickId,clipBounds:A(this.clipBounds),screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},F.bind(),F.draw(P.TRIANGLE_STRIP,this.vertexCount),F.unbind()}},C.update=function(p){var P,T;this.dirty=!0;var F=!!p.connectGaps;\"dashScale\"in p&&(this.dashScale=p.dashScale),this.hasAlpha=!1,\"opacity\"in p&&(this.opacity=+p.opacity,this.opacity<1&&(this.hasAlpha=!0));var q=[],V=[],H=[],X=0,G=0,N=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=p.position||p.positions;if(W){var re=p.color||p.colors||[0,0,0,1],ae=p.lineWidth||1,_e=!1;e:for(P=1;P<W.length;++P){var Me=W[P-1],ke=W[P];for(V.push(X),H.push(Me.slice()),T=0;T<3;++T){if(isNaN(Me[T])||isNaN(ke[T])||!isFinite(Me[T])||!isFinite(ke[T])){if(!F&&q.length>0){for(var ge=0;ge<24;++ge)q.push(q[q.length-12]);G+=2,_e=!0}continue e}N[0][T]=Math.min(N[0][T],Me[T],ke[T]),N[1][T]=Math.max(N[1][T],Me[T],ke[T])}var ie,Te;Array.isArray(re[0])?(ie=re.length>P-1?re[P-1]:re.length>0?re[re.length-1]:[0,0,0,1],Te=re.length>P?re[P]:re.length>0?re[re.length-1]:[0,0,0,1]):ie=Te=re,ie.length===3&&(ie=[ie[0],ie[1],ie[2],1]),Te.length===3&&(Te=[Te[0],Te[1],Te[2],1]),!this.hasAlpha&&ie[3]<1&&(this.hasAlpha=!0);var Ee;Array.isArray(ae)?Ee=ae.length>P-1?ae[P-1]:ae.length>0?ae[ae.length-1]:[0,0,0,1]:Ee=ae;var Ae=X;if(X+=k(Me,ke),_e){for(T=0;T<2;++T)q.push(Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,Ee,ie[0],ie[1],ie[2],ie[3]);G+=2,_e=!1}q.push(Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,Ee,ie[0],ie[1],ie[2],ie[3],Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,-Ee,ie[0],ie[1],ie[2],ie[3],ke[0],ke[1],ke[2],Me[0],Me[1],Me[2],X,-Ee,Te[0],Te[1],Te[2],Te[3],ke[0],ke[1],ke[2],Me[0],Me[1],Me[2],X,Ee,Te[0],Te[1],Te[2],Te[3]),G+=4}}if(this.buffer.update(q),V.push(X),H.push(W[W.length-1].slice()),this.bounds=N,this.vertexCount=G,this.points=H,this.arcLength=V,\"dashes\"in p){var ze=p.dashes,Ce=ze.slice();for(Ce.unshift(0),P=1;P<Ce.length;++P)Ce[P]=Ce[P-1]+Ce[P];var me=v(new Array(256*4),[256,1,4]);for(P=0;P<256;++P){for(T=0;T<4;++T)me.set(P,0,T,0);d.le(Ce,Ce[Ce.length-1]*P/255)&1?me.set(P,0,0,0):me.set(P,0,0,255)}this.texture.setPixels(me)}},C.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},C.pick=function(p){if(!p||p.id!==this.pickId)return null;var P=h(p.value[0],p.value[1],p.value[2],0),T=d.le(this.arcLength,P);if(T<0)return null;if(T===this.arcLength.length-1)return new L(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),T);for(var F=this.points[T],q=this.points[Math.min(T+1,this.points.length-1)],V=(P-this.arcLength[T])/(this.arcLength[T+1]-this.arcLength[T]),H=1-V,X=[0,0,0],G=0;G<3;++G)X[G]=H*F[G]+V*q[G];var N=Math.min(V<.5?T:T+1,this.points.length-1);return new L(P,X,N,this.points[N])};function M(p){var P=p.gl||p.scene&&p.scene.gl,T=b(P);T.attributes.position.location=0,T.attributes.nextPosition.location=1,T.attributes.arcLength.location=2,T.attributes.lineWidth.location=3,T.attributes.color.location=4;var F=g(P);F.attributes.position.location=0,F.attributes.nextPosition.location=1,F.attributes.arcLength.location=2,F.attributes.lineWidth.location=3,F.attributes.color.location=4;for(var q=s(P),V=l(P,[{buffer:q,size:3,offset:0,stride:48},{buffer:q,size:3,offset:12,stride:48},{buffer:q,size:1,offset:24,stride:48},{buffer:q,size:1,offset:28,stride:48},{buffer:q,size:4,offset:32,stride:48}]),H=v(new Array(256*4),[256,1,4]),X=0;X<1024;++X)H.data[X]=255;var G=u(P,H);G.wrap=P.REPEAT;var N=new _(P,T,F,q,V,G);return N.update(p),N}},1903:function(i){i.exports=a;function a(o){var s=new Float32Array(16);return s[0]=o[0],s[1]=o[1],s[2]=o[2],s[3]=o[3],s[4]=o[4],s[5]=o[5],s[6]=o[6],s[7]=o[7],s[8]=o[8],s[9]=o[9],s[10]=o[10],s[11]=o[11],s[12]=o[12],s[13]=o[13],s[14]=o[14],s[15]=o[15],s}},6864:function(i){i.exports=a;function a(){var o=new Float32Array(16);return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},9921:function(i){i.exports=a;function a(o){var s=o[0],l=o[1],u=o[2],c=o[3],f=o[4],h=o[5],d=o[6],v=o[7],x=o[8],b=o[9],g=o[10],E=o[11],k=o[12],A=o[13],L=o[14],_=o[15],C=s*h-l*f,M=s*d-u*f,p=s*v-c*f,P=l*d-u*h,T=l*v-c*h,F=u*v-c*d,q=x*A-b*k,V=x*L-g*k,H=x*_-E*k,X=b*L-g*A,G=b*_-E*A,N=g*_-E*L;return C*N-M*G+p*X+P*H-T*V+F*q}},7399:function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=l+l,d=u+u,v=c+c,x=l*h,b=u*h,g=u*d,E=c*h,k=c*d,A=c*v,L=f*h,_=f*d,C=f*v;return o[0]=1-g-A,o[1]=b+C,o[2]=E-_,o[3]=0,o[4]=b-C,o[5]=1-x-A,o[6]=k+L,o[7]=0,o[8]=E+_,o[9]=k-L,o[10]=1-x-g,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},6743:function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=u+u,v=c+c,x=f+f,b=u*d,g=u*v,E=u*x,k=c*v,A=c*x,L=f*x,_=h*d,C=h*v,M=h*x;return o[0]=1-(k+L),o[1]=g+M,o[2]=E-C,o[3]=0,o[4]=g-M,o[5]=1-(b+L),o[6]=A+_,o[7]=0,o[8]=E+C,o[9]=A-_,o[10]=1-(b+k),o[11]=0,o[12]=l[0],o[13]=l[1],o[14]=l[2],o[15]=1,o}},7894:function(i){i.exports=a;function a(o){return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},7608:function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=s[4],d=s[5],v=s[6],x=s[7],b=s[8],g=s[9],E=s[10],k=s[11],A=s[12],L=s[13],_=s[14],C=s[15],M=l*d-u*h,p=l*v-c*h,P=l*x-f*h,T=u*v-c*d,F=u*x-f*d,q=c*x-f*v,V=b*L-g*A,H=b*_-E*A,X=b*C-k*A,G=g*_-E*L,N=g*C-k*L,W=E*C-k*_,re=M*W-p*N+P*G+T*X-F*H+q*V;return re?(re=1/re,o[0]=(d*W-v*N+x*G)*re,o[1]=(c*N-u*W-f*G)*re,o[2]=(L*q-_*F+C*T)*re,o[3]=(E*F-g*q-k*T)*re,o[4]=(v*X-h*W-x*H)*re,o[5]=(l*W-c*X+f*H)*re,o[6]=(_*P-A*q-C*p)*re,o[7]=(b*q-E*P+k*p)*re,o[8]=(h*N-d*X+x*V)*re,o[9]=(u*X-l*N-f*V)*re,o[10]=(A*F-L*P+C*M)*re,o[11]=(g*P-b*F-k*M)*re,o[12]=(d*H-h*G-v*V)*re,o[13]=(l*G-u*H+c*V)*re,o[14]=(L*p-A*T-_*M)*re,o[15]=(b*T-g*p+E*M)*re,o):null}},6582:function(i,a,o){var s=o(7894);i.exports=l;function l(u,c,f,h){var d,v,x,b,g,E,k,A,L,_,C=c[0],M=c[1],p=c[2],P=h[0],T=h[1],F=h[2],q=f[0],V=f[1],H=f[2];return Math.abs(C-q)<1e-6&&Math.abs(M-V)<1e-6&&Math.abs(p-H)<1e-6?s(u):(k=C-q,A=M-V,L=p-H,_=1/Math.sqrt(k*k+A*A+L*L),k*=_,A*=_,L*=_,d=T*L-F*A,v=F*k-P*L,x=P*A-T*k,_=Math.sqrt(d*d+v*v+x*x),_?(_=1/_,d*=_,v*=_,x*=_):(d=0,v=0,x=0),b=A*x-L*v,g=L*d-k*x,E=k*v-A*d,_=Math.sqrt(b*b+g*g+E*E),_?(_=1/_,b*=_,g*=_,E*=_):(b=0,g=0,E=0),u[0]=d,u[1]=b,u[2]=k,u[3]=0,u[4]=v,u[5]=g,u[6]=A,u[7]=0,u[8]=x,u[9]=E,u[10]=L,u[11]=0,u[12]=-(d*C+v*M+x*p),u[13]=-(b*C+g*M+E*p),u[14]=-(k*C+A*M+L*p),u[15]=1,u)}},6760:function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=s[4],v=s[5],x=s[6],b=s[7],g=s[8],E=s[9],k=s[10],A=s[11],L=s[12],_=s[13],C=s[14],M=s[15],p=l[0],P=l[1],T=l[2],F=l[3];return o[0]=p*u+P*d+T*g+F*L,o[1]=p*c+P*v+T*E+F*_,o[2]=p*f+P*x+T*k+F*C,o[3]=p*h+P*b+T*A+F*M,p=l[4],P=l[5],T=l[6],F=l[7],o[4]=p*u+P*d+T*g+F*L,o[5]=p*c+P*v+T*E+F*_,o[6]=p*f+P*x+T*k+F*C,o[7]=p*h+P*b+T*A+F*M,p=l[8],P=l[9],T=l[10],F=l[11],o[8]=p*u+P*d+T*g+F*L,o[9]=p*c+P*v+T*E+F*_,o[10]=p*f+P*x+T*k+F*C,o[11]=p*h+P*b+T*A+F*M,p=l[12],P=l[13],T=l[14],F=l[15],o[12]=p*u+P*d+T*g+F*L,o[13]=p*c+P*v+T*E+F*_,o[14]=p*f+P*x+T*k+F*C,o[15]=p*h+P*b+T*A+F*M,o}},4040:function(i){i.exports=a;function a(o,s,l,u,c,f,h){var d=1/(s-l),v=1/(u-c),x=1/(f-h);return o[0]=-2*d,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=-2*v,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=2*x,o[11]=0,o[12]=(s+l)*d,o[13]=(c+u)*v,o[14]=(h+f)*x,o[15]=1,o}},4772:function(i){i.exports=a;function a(o,s,l,u,c){var f=1/Math.tan(s/2),h=1/(u-c);return o[0]=f/l,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=f,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=(c+u)*h,o[11]=-1,o[12]=0,o[13]=0,o[14]=2*c*u*h,o[15]=0,o}},6079:function(i){i.exports=a;function a(o,s,l,u){var c=u[0],f=u[1],h=u[2],d=Math.sqrt(c*c+f*f+h*h),v,x,b,g,E,k,A,L,_,C,M,p,P,T,F,q,V,H,X,G,N,W,re,ae;return Math.abs(d)<1e-6?null:(d=1/d,c*=d,f*=d,h*=d,v=Math.sin(l),x=Math.cos(l),b=1-x,g=s[0],E=s[1],k=s[2],A=s[3],L=s[4],_=s[5],C=s[6],M=s[7],p=s[8],P=s[9],T=s[10],F=s[11],q=c*c*b+x,V=f*c*b+h*v,H=h*c*b-f*v,X=c*f*b-h*v,G=f*f*b+x,N=h*f*b+c*v,W=c*h*b+f*v,re=f*h*b-c*v,ae=h*h*b+x,o[0]=g*q+L*V+p*H,o[1]=E*q+_*V+P*H,o[2]=k*q+C*V+T*H,o[3]=A*q+M*V+F*H,o[4]=g*X+L*G+p*N,o[5]=E*X+_*G+P*N,o[6]=k*X+C*G+T*N,o[7]=A*X+M*G+F*N,o[8]=g*W+L*re+p*ae,o[9]=E*W+_*re+P*ae,o[10]=k*W+C*re+T*ae,o[11]=A*W+M*re+F*ae,s!==o&&(o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o)}},5567:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[4],h=s[5],d=s[6],v=s[7],x=s[8],b=s[9],g=s[10],E=s[11];return s!==o&&(o[0]=s[0],o[1]=s[1],o[2]=s[2],o[3]=s[3],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[4]=f*c+x*u,o[5]=h*c+b*u,o[6]=d*c+g*u,o[7]=v*c+E*u,o[8]=x*c-f*u,o[9]=b*c-h*u,o[10]=g*c-d*u,o[11]=E*c-v*u,o}},2408:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],x=s[8],b=s[9],g=s[10],E=s[11];return s!==o&&(o[4]=s[4],o[5]=s[5],o[6]=s[6],o[7]=s[7],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c-x*u,o[1]=h*c-b*u,o[2]=d*c-g*u,o[3]=v*c-E*u,o[8]=f*u+x*c,o[9]=h*u+b*c,o[10]=d*u+g*c,o[11]=v*u+E*c,o}},7089:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],x=s[4],b=s[5],g=s[6],E=s[7];return s!==o&&(o[8]=s[8],o[9]=s[9],o[10]=s[10],o[11]=s[11],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c+x*u,o[1]=h*c+b*u,o[2]=d*c+g*u,o[3]=v*c+E*u,o[4]=x*c-f*u,o[5]=b*c-h*u,o[6]=g*c-d*u,o[7]=E*c-v*u,o}},2504:function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2];return o[0]=s[0]*u,o[1]=s[1]*u,o[2]=s[2]*u,o[3]=s[3]*u,o[4]=s[4]*c,o[5]=s[5]*c,o[6]=s[6]*c,o[7]=s[7]*c,o[8]=s[8]*f,o[9]=s[9]*f,o[10]=s[10]*f,o[11]=s[11]*f,o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15],o}},7656:function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2],h,d,v,x,b,g,E,k,A,L,_,C;return s===o?(o[12]=s[0]*u+s[4]*c+s[8]*f+s[12],o[13]=s[1]*u+s[5]*c+s[9]*f+s[13],o[14]=s[2]*u+s[6]*c+s[10]*f+s[14],o[15]=s[3]*u+s[7]*c+s[11]*f+s[15]):(h=s[0],d=s[1],v=s[2],x=s[3],b=s[4],g=s[5],E=s[6],k=s[7],A=s[8],L=s[9],_=s[10],C=s[11],o[0]=h,o[1]=d,o[2]=v,o[3]=x,o[4]=b,o[5]=g,o[6]=E,o[7]=k,o[8]=A,o[9]=L,o[10]=_,o[11]=C,o[12]=h*u+b*c+A*f+s[12],o[13]=d*u+g*c+L*f+s[13],o[14]=v*u+E*c+_*f+s[14],o[15]=x*u+k*c+C*f+s[15]),o}},5665:function(i){i.exports=a;function a(o,s){if(o===s){var l=s[1],u=s[2],c=s[3],f=s[6],h=s[7],d=s[11];o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=l,o[6]=s[9],o[7]=s[13],o[8]=u,o[9]=f,o[11]=s[14],o[12]=c,o[13]=h,o[14]=d}else o[0]=s[0],o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=s[1],o[5]=s[5],o[6]=s[9],o[7]=s[13],o[8]=s[2],o[9]=s[6],o[10]=s[10],o[11]=s[14],o[12]=s[3],o[13]=s[7],o[14]=s[11],o[15]=s[15];return o}},7626:function(i,a,o){\"use strict\";var s=o(2642),l=o(9346);i.exports=d;function u(v,x){for(var b=[0,0,0,0],g=0;g<4;++g)for(var E=0;E<4;++E)b[E]+=v[4*g+E]*x[g];return b}function c(v,x,b,g,E){for(var k=u(g,u(b,u(x,[v[0],v[1],v[2],1]))),A=0;A<3;++A)k[A]/=k[3];return[.5*E[0]*(1+k[0]),.5*E[1]*(1-k[1])]}function f(v,x){if(v.length===2){for(var b=0,g=0,E=0;E<2;++E)b+=Math.pow(x[E]-v[0][E],2),g+=Math.pow(x[E]-v[1][E],2);return b=Math.sqrt(b),g=Math.sqrt(g),b+g<1e-6?[1,0]:[g/(b+g),b/(g+b)]}else if(v.length===3){var k=[0,0];return l(v[0],v[1],v[2],x,k),s(v,k)}return[]}function h(v,x){for(var b=[0,0,0],g=0;g<v.length;++g)for(var E=v[g],k=x[g],A=0;A<3;++A)b[A]+=k*E[A];return b}function d(v,x,b,g,E,k){if(v.length===1)return[0,v[0].slice()];for(var A=new Array(v.length),L=0;L<v.length;++L)A[L]=c(v[L],b,g,E,k);for(var _=0,C=1/0,L=0;L<A.length;++L){for(var M=0,p=0;p<2;++p)M+=Math.pow(A[L][p]-x[p],2);M<C&&(C=M,_=L)}for(var P=f(A,x),T=0,L=0;L<3;++L){if(P[L]<-.001||P[L]>1.0001)return null;T+=P[L]}return Math.abs(T-1)>.001?null:[_,h(v,P),P]}},840:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, normal;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model\n",
+       "           , view\n",
+       "           , projection\n",
+       "           , inverseModel;\n",
+       "uniform vec3 eyePosition\n",
+       "           , lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position      = project(position);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * vec4(position , 1.0);\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = position;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness\n",
+       "            , fresnel\n",
+       "            , kambient\n",
+       "            , kdiffuse\n",
+       "            , kspecular;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (f_color.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], f_data)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n",
+       "\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * f_color.a;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_color = color;\n",
+       "  f_data  = position;\n",
+       "  f_uv    = uv;\n",
+       "}`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n",
+       "\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "attribute float pointSize;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n",
+       "  } else {\n",
+       "    gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  }\n",
+       "  gl_PointSize = pointSize;\n",
+       "  f_color = color;\n",
+       "  f_uv = uv;\n",
+       "}`]),d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n",
+       "  if(dot(pointR, pointR) > 0.25) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_id        = id;\n",
+       "  f_position  = position;\n",
+       "}`]),x=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]),b=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3  position;\n",
+       "attribute float pointSize;\n",
+       "attribute vec4  id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else {\n",
+       "    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\n",
+       "    gl_PointSize = pointSize;\n",
+       "  }\n",
+       "  f_id         = id;\n",
+       "  f_position   = position;\n",
+       "}`]),g=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "}`]),E=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec3 contourColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = vec4(contourColor, 1.0);\n",
+       "}\n",
+       "`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.wireShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.pointShader={vertex:h,fragment:d,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},a.pickShader={vertex:v,fragment:x,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},a.pointPickShader={vertex:b,fragment:x,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},a.contourShader={vertex:g,fragment:E,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(i,a,o){\"use strict\";var s=1e-6,l=1e-6,u=o(9405),c=o(2762),f=o(8116),h=o(7766),d=o(8406),v=o(6760),x=o(7608),b=o(9618),g=o(6729),E=o(7765),k=o(1888),A=o(840),L=o(7626),_=A.meshShader,C=A.wireShader,M=A.pointShader,p=A.pickShader,P=A.pointPickShader,T=A.contourShader,F=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function q(ge,ie,Te,Ee,Ae,ze,Ce,me,Re,ce,Ge,nt,ct,qt,rt,ot,Rt,kt,Ct,Yt,xr,er,Ke,xt,bt,Lt,St){this.gl=ge,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=ie,this.dirty=!0,this.triShader=Te,this.lineShader=Ee,this.pointShader=Ae,this.pickShader=ze,this.pointPickShader=Ce,this.contourShader=me,this.trianglePositions=Re,this.triangleColors=Ge,this.triangleNormals=ct,this.triangleUVs=nt,this.triangleIds=ce,this.triangleVAO=qt,this.triangleCount=0,this.lineWidth=1,this.edgePositions=rt,this.edgeColors=Rt,this.edgeUVs=kt,this.edgeIds=ot,this.edgeVAO=Ct,this.edgeCount=0,this.pointPositions=Yt,this.pointColors=er,this.pointUVs=Ke,this.pointSizes=xt,this.pointIds=xr,this.pointVAO=bt,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=Lt,this.contourVAO=St,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=F,this._view=F,this._projection=F,this._resolution=[1,1]}var V=q.prototype;V.isOpaque=function(){return!this.hasAlpha},V.isTransparent=function(){return this.hasAlpha},V.pickSlots=1,V.setPickBase=function(ge){this.pickId=ge};function H(ge,ie){if(!ie||!ie.length)return 1;for(var Te=0;Te<ie.length;++Te){if(ie.length<2)return 1;if(ie[Te][0]===ge)return ie[Te][1];if(ie[Te][0]>ge&&Te>0){var Ee=(ie[Te][0]-ge)/(ie[Te][0]-ie[Te-1][0]);return ie[Te][1]*(1-Ee)+Ee*ie[Te-1][1]}}return 1}function X(ge,ie){for(var Te=g({colormap:ge,nshades:256,format:\"rgba\"}),Ee=new Uint8Array(256*4),Ae=0;Ae<256;++Ae){for(var ze=Te[Ae],Ce=0;Ce<3;++Ce)Ee[4*Ae+Ce]=ze[Ce];ie?Ee[4*Ae+3]=255*H(Ae/255,ie):Ee[4*Ae+3]=255*ze[3]}return b(Ee,[256,256,4],[4,0,1])}function G(ge){for(var ie=ge.length,Te=new Array(ie),Ee=0;Ee<ie;++Ee)Te[Ee]=ge[Ee][2];return Te}V.highlight=function(ge){if(!ge||!this.contourEnable){this.contourCount=0;return}for(var ie=E(this.cells,this.intensity,ge.intensity),Te=ie.cells,Ee=ie.vertexIds,Ae=ie.vertexWeights,ze=Te.length,Ce=k.mallocFloat32(2*3*ze),me=0,Re=0;Re<ze;++Re)for(var ce=Te[Re],Ge=0;Ge<2;++Ge){var nt=ce[0];ce.length===2&&(nt=ce[Ge]);for(var ct=Ee[nt][0],qt=Ee[nt][1],rt=Ae[nt],ot=1-rt,Rt=this.positions[ct],kt=this.positions[qt],Ct=0;Ct<3;++Ct)Ce[me++]=rt*Rt[Ct]+ot*kt[Ct]}this.contourCount=me/3|0,this.contourPositions.update(Ce.subarray(0,me)),k.free(Ce)},V.update=function(ge){ge=ge||{};var ie=this.gl;this.dirty=!0,\"contourEnable\"in ge&&(this.contourEnable=ge.contourEnable),\"contourColor\"in ge&&(this.contourColor=ge.contourColor),\"lineWidth\"in ge&&(this.lineWidth=ge.lineWidth),\"lightPosition\"in ge&&(this.lightPosition=ge.lightPosition),this.hasAlpha=!1,\"opacity\"in ge&&(this.opacity=ge.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in ge&&(this.opacityscale=ge.opacityscale,this.hasAlpha=!0),\"ambient\"in ge&&(this.ambientLight=ge.ambient),\"diffuse\"in ge&&(this.diffuseLight=ge.diffuse),\"specular\"in ge&&(this.specularLight=ge.specular),\"roughness\"in ge&&(this.roughness=ge.roughness),\"fresnel\"in ge&&(this.fresnel=ge.fresnel),ge.texture?(this.texture.dispose(),this.texture=h(ie,ge.texture)):ge.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=ie.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=ie.LINEAR,this.texture.setPixels(X(ge.colormap,this.opacityscale)),this.texture.generateMipmap());var Te=ge.cells,Ee=ge.positions;if(!(!Ee||!Te)){var Ae=[],ze=[],Ce=[],me=[],Re=[],ce=[],Ge=[],nt=[],ct=[],qt=[],rt=[],ot=[],Rt=[],kt=[];this.cells=Te,this.positions=Ee;var Ct=ge.vertexNormals,Yt=ge.cellNormals,xr=ge.vertexNormalsEpsilon===void 0?s:ge.vertexNormalsEpsilon,er=ge.faceNormalsEpsilon===void 0?l:ge.faceNormalsEpsilon;ge.useFacetNormals&&!Yt&&(Yt=d.faceNormals(Te,Ee,er)),!Yt&&!Ct&&(Ct=d.vertexNormals(Te,Ee,xr));var Ke=ge.vertexColors,xt=ge.cellColors,bt=ge.meshColor||[1,1,1,1],Lt=ge.vertexUVs,St=ge.vertexIntensity,Et=ge.cellUVs,dt=ge.cellIntensity,Ht=1/0,$t=-1/0;if(!Lt&&!Et)if(St)if(ge.vertexIntensityBounds)Ht=+ge.vertexIntensityBounds[0],$t=+ge.vertexIntensityBounds[1];else for(var fr=0;fr<St.length;++fr){var _r=St[fr];Ht=Math.min(Ht,_r),$t=Math.max($t,_r)}else if(dt)if(ge.cellIntensityBounds)Ht=+ge.cellIntensityBounds[0],$t=+ge.cellIntensityBounds[1];else for(var fr=0;fr<dt.length;++fr){var _r=dt[fr];Ht=Math.min(Ht,_r),$t=Math.max($t,_r)}else for(var fr=0;fr<Ee.length;++fr){var _r=Ee[fr][2];Ht=Math.min(Ht,_r),$t=Math.max($t,_r)}St?this.intensity=St:dt?this.intensity=dt:this.intensity=G(Ee),this.pickVertex=!(dt||xt);var Br=ge.pointSizes,Or=ge.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var fr=0;fr<Ee.length;++fr)for(var Nr=Ee[fr],ut=0;ut<3;++ut)isNaN(Nr[ut])||!isFinite(Nr[ut])||(this.bounds[0][ut]=Math.min(this.bounds[0][ut],Nr[ut]),this.bounds[1][ut]=Math.max(this.bounds[1][ut],Nr[ut]));var Ne=0,Ye=0,Ve=0;e:for(var fr=0;fr<Te.length;++fr){var Xe=Te[fr];switch(Xe.length){case 1:for(var ht=Xe[0],Nr=Ee[ht],ut=0;ut<3;++ut)if(isNaN(Nr[ut])||!isFinite(Nr[ut]))continue e;qt.push(Nr[0],Nr[1],Nr[2]);var Le;Ke?Le=Ke[ht]:xt?Le=xt[fr]:Le=bt,this.opacityscale&&St?ze.push(Le[0],Le[1],Le[2],this.opacity*H((St[ht]-Ht)/($t-Ht),this.opacityscale)):Le.length===3?rt.push(Le[0],Le[1],Le[2],this.opacity):(rt.push(Le[0],Le[1],Le[2],Le[3]*this.opacity),Le[3]<1&&(this.hasAlpha=!0));var xe;Lt?xe=Lt[ht]:St?xe=[(St[ht]-Ht)/($t-Ht),0]:Et?xe=Et[fr]:dt?xe=[(dt[fr]-Ht)/($t-Ht),0]:xe=[(Nr[2]-Ht)/($t-Ht),0],ot.push(xe[0],xe[1]),Br?Rt.push(Br[ht]):Rt.push(Or),kt.push(fr),Ve+=1;break;case 2:for(var ut=0;ut<2;++ut)for(var ht=Xe[ut],Nr=Ee[ht],Se=0;Se<3;++Se)if(isNaN(Nr[Se])||!isFinite(Nr[Se]))continue e;for(var ut=0;ut<2;++ut){var ht=Xe[ut],Nr=Ee[ht];ce.push(Nr[0],Nr[1],Nr[2]);var Le;Ke?Le=Ke[ht]:xt?Le=xt[fr]:Le=bt,this.opacityscale&&St?ze.push(Le[0],Le[1],Le[2],this.opacity*H((St[ht]-Ht)/($t-Ht),this.opacityscale)):Le.length===3?Ge.push(Le[0],Le[1],Le[2],this.opacity):(Ge.push(Le[0],Le[1],Le[2],Le[3]*this.opacity),Le[3]<1&&(this.hasAlpha=!0));var xe;Lt?xe=Lt[ht]:St?xe=[(St[ht]-Ht)/($t-Ht),0]:Et?xe=Et[fr]:dt?xe=[(dt[fr]-Ht)/($t-Ht),0]:xe=[(Nr[2]-Ht)/($t-Ht),0],nt.push(xe[0],xe[1]),ct.push(fr)}Ye+=1;break;case 3:for(var ut=0;ut<3;++ut)for(var ht=Xe[ut],Nr=Ee[ht],Se=0;Se<3;++Se)if(isNaN(Nr[Se])||!isFinite(Nr[Se]))continue e;for(var ut=0;ut<3;++ut){var ht=Xe[2-ut],Nr=Ee[ht];Ae.push(Nr[0],Nr[1],Nr[2]);var Le;Ke?Le=Ke[ht]:xt?Le=xt[fr]:Le=bt,Le?this.opacityscale&&St?ze.push(Le[0],Le[1],Le[2],this.opacity*H((St[ht]-Ht)/($t-Ht),this.opacityscale)):Le.length===3?ze.push(Le[0],Le[1],Le[2],this.opacity):(ze.push(Le[0],Le[1],Le[2],Le[3]*this.opacity),Le[3]<1&&(this.hasAlpha=!0)):ze.push(.5,.5,.5,1);var xe;Lt?xe=Lt[ht]:St?xe=[(St[ht]-Ht)/($t-Ht),0]:Et?xe=Et[fr]:dt?xe=[(dt[fr]-Ht)/($t-Ht),0]:xe=[(Nr[2]-Ht)/($t-Ht),0],me.push(xe[0],xe[1]);var lt;Ct?lt=Ct[ht]:lt=Yt[fr],Ce.push(lt[0],lt[1],lt[2]),Re.push(fr)}Ne+=1;break;default:break}}this.pointCount=Ve,this.edgeCount=Ye,this.triangleCount=Ne,this.pointPositions.update(qt),this.pointColors.update(rt),this.pointUVs.update(ot),this.pointSizes.update(Rt),this.pointIds.update(new Uint32Array(kt)),this.edgePositions.update(ce),this.edgeColors.update(Ge),this.edgeUVs.update(nt),this.edgeIds.update(new Uint32Array(ct)),this.trianglePositions.update(Ae),this.triangleColors.update(ze),this.triangleUVs.update(me),this.triangleNormals.update(Ce),this.triangleIds.update(new Uint32Array(Re))}},V.drawTransparent=V.draw=function(ge){ge=ge||{};for(var ie=this.gl,Te=ge.model||F,Ee=ge.view||F,Ae=ge.projection||F,ze=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Ce=0;Ce<3;++Ce)ze[0][Ce]=Math.max(ze[0][Ce],this.clipBounds[0][Ce]),ze[1][Ce]=Math.min(ze[1][Ce],this.clipBounds[1][Ce]);var me={model:Te,view:Ee,projection:Ae,inverseModel:F.slice(),clipBounds:ze,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};me.inverseModel=x(me.inverseModel,me.model),ie.disable(ie.CULL_FACE),this.texture.bind(0);var Re=new Array(16);v(Re,me.view,me.model),v(Re,me.projection,Re),x(Re,Re);for(var Ce=0;Ce<3;++Ce)me.eyePosition[Ce]=Re[12+Ce]/Re[15];for(var ce=Re[15],Ce=0;Ce<3;++Ce)ce+=this.lightPosition[Ce]*Re[4*Ce+3];for(var Ce=0;Ce<3;++Ce){for(var Ge=Re[12+Ce],nt=0;nt<3;++nt)Ge+=Re[4*nt+Ce]*this.lightPosition[nt];me.lightPosition[Ce]=Ge/ce}if(this.triangleCount>0){var ct=this.triShader;ct.bind(),ct.uniforms=me,this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var ct=this.lineShader;ct.bind(),ct.uniforms=me,this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var ct=this.pointShader;ct.bind(),ct.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var ct=this.contourShader;ct.bind(),ct.uniforms=me,this.contourVAO.bind(),ie.drawArrays(ie.LINES,0,this.contourCount),this.contourVAO.unbind()}},V.drawPick=function(ge){ge=ge||{};for(var ie=this.gl,Te=ge.model||F,Ee=ge.view||F,Ae=ge.projection||F,ze=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Ce=0;Ce<3;++Ce)ze[0][Ce]=Math.max(ze[0][Ce],this.clipBounds[0][Ce]),ze[1][Ce]=Math.min(ze[1][Ce],this.clipBounds[1][Ce]);this._model=[].slice.call(Te),this._view=[].slice.call(Ee),this._projection=[].slice.call(Ae),this._resolution=[ie.drawingBufferWidth,ie.drawingBufferHeight];var me={model:Te,view:Ee,projection:Ae,clipBounds:ze,pickId:this.pickId/255},Re=this.pickShader;if(Re.bind(),Re.uniforms=me,this.triangleCount>0&&(this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var Re=this.pointPickShader;Re.bind(),Re.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}},V.pick=function(ge){if(!ge||ge.id!==this.pickId)return null;for(var ie=ge.value[0]+256*ge.value[1]+65536*ge.value[2],Te=this.cells[ie],Ee=this.positions,Ae=new Array(Te.length),ze=0;ze<Te.length;++ze)Ae[ze]=Ee[Te[ze]];var Ce=ge.coord[0],me=ge.coord[1];if(!this.pickVertex){var Re=this.positions[Te[0]],ce=this.positions[Te[1]],Ge=this.positions[Te[2]],nt=[(Re[0]+ce[0]+Ge[0])/3,(Re[1]+ce[1]+Ge[1])/3,(Re[2]+ce[2]+Ge[2])/3];return{_cellCenter:!0,position:[Ce,me],index:ie,cell:Te,cellId:ie,intensity:this.intensity[ie],dataCoordinate:nt}}var ct=L(Ae,[Ce*this.pixelRatio,this._resolution[1]-me*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!ct)return null;for(var qt=ct[2],rt=0,ze=0;ze<Te.length;++ze)rt+=qt[ze]*this.intensity[Te[ze]];return{position:ct[1],index:Te[ct[0]],cell:Te,cellId:ie,intensity:rt,dataCoordinate:this.positions[Te[ct[0]]]}},V.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()};function N(ge){var ie=u(ge,_.vertex,_.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.normal.location=4,ie}function W(ge){var ie=u(ge,C.vertex,C.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie}function re(ge){var ie=u(ge,M.vertex,M.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.pointSize.location=4,ie}function ae(ge){var ie=u(ge,p.vertex,p.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie}function _e(ge){var ie=u(ge,P.vertex,P.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie.attributes.pointSize.location=4,ie}function Me(ge){var ie=u(ge,T.vertex,T.fragment);return ie.attributes.position.location=0,ie}function ke(ge,ie){arguments.length===1&&(ie=ge,ge=ie.gl);var Te=ge.getExtension(\"OES_standard_derivatives\")||ge.getExtension(\"MOZ_OES_standard_derivatives\")||ge.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!Te)throw new Error(\"derivatives not supported\");var Ee=N(ge),Ae=W(ge),ze=re(ge),Ce=ae(ge),me=_e(ge),Re=Me(ge),ce=h(ge,b(new Uint8Array([255,255,255,255]),[1,1,4]));ce.generateMipmap(),ce.minFilter=ge.LINEAR_MIPMAP_LINEAR,ce.magFilter=ge.LINEAR;var Ge=c(ge),nt=c(ge),ct=c(ge),qt=c(ge),rt=c(ge),ot=f(ge,[{buffer:Ge,type:ge.FLOAT,size:3},{buffer:rt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:nt,type:ge.FLOAT,size:4},{buffer:ct,type:ge.FLOAT,size:2},{buffer:qt,type:ge.FLOAT,size:3}]),Rt=c(ge),kt=c(ge),Ct=c(ge),Yt=c(ge),xr=f(ge,[{buffer:Rt,type:ge.FLOAT,size:3},{buffer:Yt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:kt,type:ge.FLOAT,size:4},{buffer:Ct,type:ge.FLOAT,size:2}]),er=c(ge),Ke=c(ge),xt=c(ge),bt=c(ge),Lt=c(ge),St=f(ge,[{buffer:er,type:ge.FLOAT,size:3},{buffer:Lt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Ke,type:ge.FLOAT,size:4},{buffer:xt,type:ge.FLOAT,size:2},{buffer:bt,type:ge.FLOAT,size:1}]),Et=c(ge),dt=f(ge,[{buffer:Et,type:ge.FLOAT,size:3}]),Ht=new q(ge,ce,Ee,Ae,ze,Ce,me,Re,Ge,rt,nt,ct,qt,ot,Rt,Yt,kt,Ct,xr,er,Lt,Ke,xt,bt,St,Et,dt);return Ht.update(ie),Ht}i.exports=ke},4437:function(i,a,o){\"use strict\";i.exports=d;var s=o(3025),l=o(6296),u=o(351),c=o(8512),f=o(24),h=o(7520);function d(v,x){v=v||document.body,x=x||{};var b=[.01,1/0];\"distanceLimits\"in x&&(b[0]=x.distanceLimits[0],b[1]=x.distanceLimits[1]),\"zoomMin\"in x&&(b[0]=x.zoomMin),\"zoomMax\"in x&&(b[1]=x.zoomMax);var g=l({center:x.center||[0,0,0],up:x.up||[0,1,0],eye:x.eye||[0,0,10],mode:x.mode||\"orbit\",distanceLimits:b}),E=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],k=0,A=v.clientWidth,L=v.clientHeight,_={keyBindingMode:\"rotate\",enableWheel:!0,view:g,element:v,delay:x.delay||16,rotateSpeed:x.rotateSpeed||1,zoomSpeed:x.zoomSpeed||1,translateSpeed:x.translateSpeed||1,flipX:!!x.flipX,flipY:!!x.flipY,modes:g.modes,_ortho:x._ortho||x.projection&&x.projection.type===\"orthographic\"||!1,tick:function(){var C=s(),M=this.delay,p=C-2*M;g.idle(C-M),g.recalcMatrix(p),g.flush(C-(100+M*2));for(var P=!0,T=g.computedMatrix,F=0;F<16;++F)P=P&&E[F]===T[F],E[F]=T[F];var q=v.clientWidth===A&&v.clientHeight===L;return A=v.clientWidth,L=v.clientHeight,P?!q:(k=Math.exp(g.computedRadius[0]),!0)},lookAt:function(C,M,p){g.lookAt(g.lastT(),C,M,p)},rotate:function(C,M,p){g.rotate(g.lastT(),C,M,p)},pan:function(C,M,p){g.pan(g.lastT(),C,M,p)},translate:function(C,M,p){g.translate(g.lastT(),C,M,p)}};return Object.defineProperties(_,{matrix:{get:function(){return g.computedMatrix},set:function(C){return g.setMatrix(g.lastT(),C),g.computedMatrix},enumerable:!0},mode:{get:function(){return g.getMode()},set:function(C){var M=g.computedUp.slice(),p=g.computedEye.slice(),P=g.computedCenter.slice();if(g.setMode(C),C===\"turntable\"){var T=s();g._active.lookAt(T,p,P,M),g._active.lookAt(T+500,p,P,[0,0,1]),g._active.flush(T)}return g.getMode()},enumerable:!0},center:{get:function(){return g.computedCenter},set:function(C){return g.lookAt(g.lastT(),null,C),g.computedCenter},enumerable:!0},eye:{get:function(){return g.computedEye},set:function(C){return g.lookAt(g.lastT(),C),g.computedEye},enumerable:!0},up:{get:function(){return g.computedUp},set:function(C){return g.lookAt(g.lastT(),null,null,C),g.computedUp},enumerable:!0},distance:{get:function(){return k},set:function(C){return g.setDistance(g.lastT(),C),C},enumerable:!0},distanceLimits:{get:function(){return g.getDistanceLimits(b)},set:function(C){return g.setDistanceLimits(C),C},enumerable:!0}}),v.addEventListener(\"contextmenu\",function(C){return C.preventDefault(),!1}),_._lastX=-1,_._lastY=-1,_._lastMods={shift:!1,control:!1,alt:!1,meta:!1},_.enableMouseListeners=function(){_.mouseListener=u(v,C),v.addEventListener(\"touchstart\",function(M){var p=f(M.changedTouches[0],v);C(0,p[0],p[1],_._lastMods),C(1,p[0],p[1],_._lastMods)},h?{passive:!0}:!1),v.addEventListener(\"touchmove\",function(M){var p=f(M.changedTouches[0],v);C(1,p[0],p[1],_._lastMods),M.preventDefault()},h?{passive:!1}:!1),v.addEventListener(\"touchend\",function(M){C(0,_._lastX,_._lastY,_._lastMods)},h?{passive:!0}:!1);function C(M,p,P,T){var F=_.keyBindingMode;if(F!==!1){var q=F===\"rotate\",V=F===\"pan\",H=F===\"zoom\",X=!!T.control,G=!!T.alt,N=!!T.shift,W=!!(M&1),re=!!(M&2),ae=!!(M&4),_e=1/v.clientHeight,Me=_e*(p-_._lastX),ke=_e*(P-_._lastY),ge=_.flipX?1:-1,ie=_.flipY?1:-1,Te=Math.PI*_.rotateSpeed,Ee=s();if(_._lastX!==-1&&_._lastY!==-1&&((q&&W&&!X&&!G&&!N||W&&!X&&!G&&N)&&g.rotate(Ee,ge*Te*Me,-ie*Te*ke,0),(V&&W&&!X&&!G&&!N||re||W&&X&&!G&&!N)&&g.pan(Ee,-_.translateSpeed*Me*k,_.translateSpeed*ke*k,0),H&&W&&!X&&!G&&!N||ae||W&&!X&&G&&!N)){var Ae=-_.zoomSpeed*ke/window.innerHeight*(Ee-g.lastT())*100;g.pan(Ee,0,0,k*(Math.exp(Ae)-1))}return _._lastX=p,_._lastY=P,_._lastMods=T,!0}}_.wheelListener=c(v,function(M,p){if(_.keyBindingMode!==!1&&_.enableWheel){var P=_.flipX?1:-1,T=_.flipY?1:-1,F=s();if(Math.abs(M)>Math.abs(p))g.rotate(F,0,0,-M*P*Math.PI*_.rotateSpeed/window.innerWidth);else if(!_._ortho){var q=-_.zoomSpeed*T*p/window.innerHeight*(F-g.lastT())/20;g.pan(F,0,0,k*(Math.exp(q)-1))}}},!0)},_.enableMouseListeners(),_}},799:function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "attribute vec2 position;\n",
+       "varying vec2 uv;\n",
+       "void main() {\n",
+       "  uv = position;\n",
+       "  gl_Position = vec4(position, 0, 1);\n",
+       "}`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D accumBuffer;\n",
+       "varying vec2 uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n",
+       "  gl_FragColor = min(vec4(1,1,1,1), accum);\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(i,a,o){\"use strict\";var s=o(4437),l=o(3837),u=o(5445),c=o(4449),f=o(3589),h=o(2260),d=o(7169),v=o(351),x=o(4772),b=o(4040),g=o(799),E=o(9216)({tablet:!0,featureDetect:!0});i.exports={createScene:C,createCamera:s};function k(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function A(p,P){var T=null;try{T=p.getContext(\"webgl\",P),T||(T=p.getContext(\"experimental-webgl\",P))}catch(F){return null}return T}function L(p){var P=Math.round(Math.log(Math.abs(p))/Math.log(10));if(P<0){var T=Math.round(Math.pow(10,-P));return Math.ceil(p*T)/T}else if(P>0){var T=Math.round(Math.pow(10,P));return Math.ceil(p/T)*T}return Math.ceil(p)}function _(p){return typeof p==\"boolean\"?p:!0}function C(p){p=p||{},p.camera=p.camera||{};var P=p.canvas;if(!P)if(P=document.createElement(\"canvas\"),p.container){var T=p.container;T.appendChild(P)}else document.body.appendChild(P);var F=p.gl;if(F||(p.glOptions&&(E=!!p.glOptions.preserveDrawingBuffer),F=A(P,p.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:E})),!F)throw new Error(\"webgl not supported\");var q=p.bounds||[[-10,-10,-10],[10,10,10]],V=new k,H=h(F,F.drawingBufferWidth,F.drawingBufferHeight,{preferFloat:!E}),X=g(F),G=p.cameraObject&&p.cameraObject._ortho===!0||p.camera.projection&&p.camera.projection.type===\"orthographic\"||!1,N={eye:p.camera.eye||[2,0,0],center:p.camera.center||[0,0,0],up:p.camera.up||[0,1,0],zoomMin:p.camera.zoomMax||.1,zoomMax:p.camera.zoomMin||100,mode:p.camera.mode||\"turntable\",_ortho:G},W=p.axes||{},re=l(F,W);re.enable=!W.disable;var ae=p.spikes||{},_e=c(F,ae),Me=[],ke=[],ge=[],ie=[],Te=!0,Ce=!0,Ee=new Array(16),Ae=new Array(16),ze={view:null,projection:Ee,model:Ae,_ortho:!1},Ce=!0,me=[F.drawingBufferWidth,F.drawingBufferHeight],Re=p.cameraObject||s(P,N),ce={gl:F,contextLost:!1,pixelRatio:p.pixelRatio||1,canvas:P,selection:V,camera:Re,axes:re,axesPixels:null,spikes:_e,bounds:q,objects:Me,shape:me,aspect:p.aspectRatio||[1,1,1],pickRadius:p.pickRadius||10,zNear:p.zNear||.01,zFar:p.zFar||1e3,fovy:p.fovy||Math.PI/4,clearColor:p.clearColor||[0,0,0,0],autoResize:_(p.autoResize),autoBounds:_(p.autoBounds),autoScale:!!p.autoScale,autoCenter:_(p.autoCenter),clipToBounds:_(p.clipToBounds),snapToData:!!p.snapToData,onselect:p.onselect||null,onrender:p.onrender||null,onclick:p.onclick||null,cameraParams:ze,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(Yt){this.aspect[0]=Yt.x,this.aspect[1]=Yt.y,this.aspect[2]=Yt.z,Ce=!0},setBounds:function(Yt,xr){this.bounds[0][Yt]=xr.min,this.bounds[1][Yt]=xr.max},setClearColor:function(Yt){this.clearColor=Yt},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},Ge=[F.drawingBufferWidth/ce.pixelRatio|0,F.drawingBufferHeight/ce.pixelRatio|0];function nt(){if(!ce._stopped&&ce.autoResize){var Yt=P.parentNode,xr=1,er=1;Yt&&Yt!==document.body?(xr=Yt.clientWidth,er=Yt.clientHeight):(xr=window.innerWidth,er=window.innerHeight);var Ke=Math.ceil(xr*ce.pixelRatio)|0,xt=Math.ceil(er*ce.pixelRatio)|0;if(Ke!==P.width||xt!==P.height){P.width=Ke,P.height=xt;var bt=P.style;bt.position=bt.position||\"absolute\",bt.left=\"0px\",bt.top=\"0px\",bt.width=xr+\"px\",bt.height=er+\"px\",Te=!0}}}ce.autoResize&&nt(),window.addEventListener(\"resize\",nt);function ct(){for(var Yt=Me.length,xr=ie.length,er=0;er<xr;++er)ge[er]=0;e:for(var er=0;er<Yt;++er){var Ke=Me[er],xt=Ke.pickSlots;if(!xt){ke[er]=-1;continue}for(var bt=0;bt<xr;++bt)if(ge[bt]+xt<255){ke[er]=bt,Ke.setPickBase(ge[bt]+1),ge[bt]+=xt;continue e}var Lt=f(F,me);ke[er]=xr,ie.push(Lt),ge.push(xt),Ke.setPickBase(1),xr+=1}for(;xr>0&&ge[xr-1]===0;)ge.pop(),ie.pop().dispose()}ce.update=function(Yt){ce._stopped||(Yt=Yt||{},Te=!0,Ce=!0)},ce.add=function(Yt){ce._stopped||(Yt.axes=re,Me.push(Yt),ke.push(-1),Te=!0,Ce=!0,ct())},ce.remove=function(Yt){if(!ce._stopped){var xr=Me.indexOf(Yt);xr<0||(Me.splice(xr,1),ke.pop(),Te=!0,Ce=!0,ct())}},ce.dispose=function(){if(!ce._stopped&&(ce._stopped=!0,window.removeEventListener(\"resize\",nt),P.removeEventListener(\"webglcontextlost\",qt),ce.mouseListener.enabled=!1,!ce.contextLost)){re.dispose(),_e.dispose();for(var Yt=0;Yt<Me.length;++Yt)Me[Yt].dispose();H.dispose();for(var Yt=0;Yt<ie.length;++Yt)ie[Yt].dispose();X.dispose(),F=null,re=null,_e=null,Me=[]}},ce._mouseRotating=!1,ce._prevButtons=0,ce.enableMouseListeners=function(){ce.mouseListener=v(P,function(Yt,xr,er){if(!ce._stopped){var Ke=ie.length,xt=Me.length,bt=V.object;V.distance=1/0,V.mouse[0]=xr,V.mouse[1]=er,V.object=null,V.screen=null,V.dataCoordinate=V.dataPosition=null;var Lt=!1;if(Yt&&ce._prevButtons)ce._mouseRotating=!0;else{ce._mouseRotating&&(Ce=!0),ce._mouseRotating=!1;for(var St=0;St<Ke;++St){var Et=ie[St].query(xr,Ge[1]-er-1,ce.pickRadius);if(Et){if(Et.distance>V.distance)continue;for(var dt=0;dt<xt;++dt){var Ht=Me[dt];if(ke[dt]===St){var $t=Ht.pick(Et);$t&&(V.buttons=Yt,V.screen=Et.coord,V.distance=Et.distance,V.object=Ht,V.index=$t.distance,V.dataPosition=$t.position,V.dataCoordinate=$t.dataCoordinate,V.data=$t,Lt=!0)}}}}}bt&&bt!==V.object&&(bt.highlight&&bt.highlight(null),Te=!0),V.object&&(V.object.highlight&&V.object.highlight(V.data),Te=!0),Lt=Lt||V.object!==bt,Lt&&ce.onselect&&ce.onselect(V),Yt&1&&!(ce._prevButtons&1)&&ce.onclick&&ce.onclick(V),ce._prevButtons=Yt}})};function qt(){if(ce.contextLost)return!0;F.isContextLost()&&(ce.contextLost=!0,ce.mouseListener.enabled=!1,ce.selection.object=null,ce.oncontextloss&&ce.oncontextloss())}P.addEventListener(\"webglcontextlost\",qt);function rt(){if(!qt()){F.colorMask(!0,!0,!0,!0),F.depthMask(!0),F.disable(F.BLEND),F.enable(F.DEPTH_TEST),F.depthFunc(F.LEQUAL);for(var Yt=Me.length,xr=ie.length,er=0;er<xr;++er){var Ke=ie[er];Ke.shape=Ge,Ke.begin();for(var xt=0;xt<Yt;++xt)if(ke[xt]===er){var bt=Me[xt];bt.drawPick&&(bt.pixelRatio=1,bt.drawPick(ze))}Ke.end()}}}var ot=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Rt=[ot[0].slice(),ot[1].slice()];function kt(){if(!qt()){nt();var Yt=ce.camera.tick();ze.view=ce.camera.matrix,Te=Te||Yt,Ce=Ce||Yt,re.pixelRatio=ce.pixelRatio,_e.pixelRatio=ce.pixelRatio;var xr=Me.length,er=ot[0],Ke=ot[1];er[0]=er[1]=er[2]=1/0,Ke[0]=Ke[1]=Ke[2]=-1/0;for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.pixelRatio=ce.pixelRatio,bt.axes=ce.axes,Te=Te||!!bt.dirty,Ce=Ce||!!bt.dirty;var Lt=bt.bounds;if(Lt)for(var St=Lt[0],Et=Lt[1],dt=0;dt<3;++dt)er[dt]=Math.min(er[dt],St[dt]),Ke[dt]=Math.max(Ke[dt],Et[dt])}var Ht=ce.bounds;if(ce.autoBounds)for(var dt=0;dt<3;++dt){if(Ke[dt]<er[dt])er[dt]=-1,Ke[dt]=1;else{er[dt]===Ke[dt]&&(er[dt]-=1,Ke[dt]+=1);var $t=.05*(Ke[dt]-er[dt]);er[dt]=er[dt]-$t,Ke[dt]=Ke[dt]+$t}Ht[0][dt]=er[dt],Ht[1][dt]=Ke[dt]}for(var fr=!1,dt=0;dt<3;++dt)fr=fr||Rt[0][dt]!==Ht[0][dt]||Rt[1][dt]!==Ht[1][dt],Rt[0][dt]=Ht[0][dt],Rt[1][dt]=Ht[1][dt];if(Ce=Ce||fr,Te=Te||fr,!!Te){if(fr){for(var _r=[0,0,0],xt=0;xt<3;++xt)_r[xt]=L((Ht[1][xt]-Ht[0][xt])/10);re.autoTicks?re.update({bounds:Ht,tickSpacing:_r}):re.update({bounds:Ht})}var Br=F.drawingBufferWidth,Or=F.drawingBufferHeight;me[0]=Br,me[1]=Or,Ge[0]=Math.max(Br/ce.pixelRatio,1)|0,Ge[1]=Math.max(Or/ce.pixelRatio,1)|0,M(ce,G);for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.axesBounds=Ht,ce.clipToBounds&&(bt.clipBounds=Ht)}V.object&&(ce.snapToData?_e.position=V.dataCoordinate:_e.position=V.dataPosition,_e.bounds=Ht),Ce&&(Ce=!1,rt()),ce.axesPixels=u(ce.axes,ze,Br,Or),ce.onrender&&ce.onrender(),F.bindFramebuffer(F.FRAMEBUFFER,null),F.viewport(0,0,Br,Or),ce.clearRGBA(),F.depthMask(!0),F.colorMask(!0,!0,!0,!0),F.enable(F.DEPTH_TEST),F.depthFunc(F.LEQUAL),F.disable(F.BLEND),F.disable(F.CULL_FACE);var Nr=!1;re.enable&&(Nr=Nr||re.isTransparent(),re.draw(ze)),_e.axes=re,V.object&&_e.draw(ze),F.disable(F.CULL_FACE);for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.axes=re,bt.pixelRatio=ce.pixelRatio,bt.isOpaque&&bt.isOpaque()&&bt.draw(ze),bt.isTransparent&&bt.isTransparent()&&(Nr=!0)}if(Nr){H.shape=me,H.bind(),F.clear(F.DEPTH_BUFFER_BIT),F.colorMask(!1,!1,!1,!1),F.depthMask(!0),F.depthFunc(F.LESS),re.enable&&re.isTransparent()&&re.drawTransparent(ze);for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.isOpaque&&bt.isOpaque()&&bt.draw(ze)}F.enable(F.BLEND),F.blendEquation(F.FUNC_ADD),F.blendFunc(F.ONE,F.ONE_MINUS_SRC_ALPHA),F.colorMask(!0,!0,!0,!0),F.depthMask(!1),F.clearColor(0,0,0,0),F.clear(F.COLOR_BUFFER_BIT),re.isTransparent()&&re.drawTransparent(ze);for(var xt=0;xt<xr;++xt){var bt=Me[xt];bt.isTransparent&&bt.isTransparent()&&bt.drawTransparent(ze)}F.bindFramebuffer(F.FRAMEBUFFER,null),F.blendFunc(F.ONE,F.ONE_MINUS_SRC_ALPHA),F.disable(F.DEPTH_TEST),X.bind(),H.color[0].bind(0),X.uniforms.accumBuffer=0,d(F),F.disable(F.BLEND)}Te=!1;for(var xt=0;xt<xr;++xt)Me[xt].dirty=!1}}}function Ct(){ce._stopped||ce.contextLost||(kt(),requestAnimationFrame(Ct))}return ce.enableMouseListeners(),Ct(),ce.redraw=function(){ce._stopped||(Te=!0,kt())},ce}function M(p,P){var T=p.bounds,F=p.cameraParams,q=F.projection,V=F.model,H=p.gl.drawingBufferWidth,X=p.gl.drawingBufferHeight,G=p.zNear,N=p.zFar,W=p.fovy,re=H/X;P?(b(q,-re,re,-1,1,G,N),F._ortho=!0):(x(q,W,re,G,N),F._ortho=!1);for(var ae=0;ae<16;++ae)V[ae]=0;V[15]=1;for(var _e=0,ae=0;ae<3;++ae)_e=Math.max(_e,T[1][ae]-T[0][ae]);for(var ae=0;ae<3;++ae)p.autoScale?V[5*ae]=p.aspect[ae]/(T[1][ae]-T[0][ae]):V[5*ae]=1/_e,p.autoCenter&&(V[12+ae]=-V[5*ae]*.5*(T[0][ae]+T[1][ae]))}},783:function(i){i.exports=a;function a(o,s,l,u){var c=s[0],f=s[1],h=s[2],d=s[3],v=l[0],x=l[1],b=l[2],g=l[3],E,k,A,L,_;return k=c*v+f*x+h*b+d*g,k<0&&(k=-k,v=-v,x=-x,b=-b,g=-g),1-k>1e-6?(E=Math.acos(k),A=Math.sin(E),L=Math.sin((1-u)*E)/A,_=Math.sin(u*E)/A):(L=1-u,_=u),o[0]=L*c+_*v,o[1]=L*f+_*x,o[2]=L*h+_*b,o[3]=L*d+_*g,o}},5964:function(i){\"use strict\";i.exports=function(a){return!a&&a!==0?\"\":a.toString()}},9366:function(i,a,o){\"use strict\";var s=o(4359);i.exports=u;var l={};function u(c,f,h){var d=[f.style,f.weight,f.variant,f.family].join(\"_\"),v=l[d];if(v||(v=l[d]={}),c in v)return v[c];var x={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:f.family,fontStyle:f.style,fontWeight:f.weight,fontVariant:f.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};x.triangles=!0;var b=s(c,x);x.triangles=!1;var g=s(c,x),E,k;if(h&&h!==1){for(E=0;E<b.positions.length;++E)for(k=0;k<b.positions[E].length;++k)b.positions[E][k]/=h;for(E=0;E<g.positions.length;++E)for(k=0;k<g.positions[E].length;++k)g.positions[E][k]/=h}var A=[[1/0,1/0],[-1/0,-1/0]],L=g.positions.length;for(E=0;E<L;++E){var _=g.positions[E];for(k=0;k<2;++k)A[0][k]=Math.min(A[0][k],_[k]),A[1][k]=Math.max(A[1][k],_[k])}return v[c]=[b,g,A]}},1283:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform vec4 highlightId;\n",
+       "uniform float highlightScale;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = 1.0;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      scale = highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    viewPosition = viewPosition / viewPosition.w;\n",
+       "    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float highlightScale, pixelRatio;\n",
+       "uniform vec4 highlightId;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = pixelRatio;\n",
+       "    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n",
+       "      scale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1.0);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    vec4 clipPosition = projection * viewPosition;\n",
+       "    clipPosition /= clipPosition.w;\n",
+       "\n",
+       "    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform float highlightScale;\n",
+       "uniform vec4 highlightId;\n",
+       "uniform vec3 axes[2];\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float scale, pixelRatio;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float lscale = pixelRatio * scale;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      lscale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\n",
+       "    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n",
+       "    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = dataPosition;\n",
+       "  }\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n",
+       "    interpColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "  gl_FragColor = interpColor * opacity;\n",
+       "}\n",
+       "`]),d=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float pickGroup;\n",
+       "\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickGroup, pickId.bgr);\n",
+       "}`]),v=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],x={vertex:u,fragment:h,attributes:v},b={vertex:c,fragment:h,attributes:v},g={vertex:f,fragment:h,attributes:v},E={vertex:u,fragment:d,attributes:v},k={vertex:c,fragment:d,attributes:v},A={vertex:f,fragment:d,attributes:v};function L(_,C){var M=s(_,C),p=M.attributes;return p.position.location=0,p.color.location=1,p.glyph.location=2,p.id.location=3,M}a.createPerspective=function(_){return L(_,x)},a.createOrtho=function(_){return L(_,b)},a.createProject=function(_){return L(_,g)},a.createPickPerspective=function(_){return L(_,E)},a.createPickOrtho=function(_){return L(_,k)},a.createPickProject=function(_){return L(_,A)}},8418:function(i,a,o){\"use strict\";var s=o(5219),l=o(2762),u=o(8116),c=o(1888),f=o(6760),h=o(1283),d=o(9366),v=o(5964),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],b=ArrayBuffer,g=DataView;function E(Ae){return b.isView(Ae)&&!(Ae instanceof g)}function k(Ae){return Array.isArray(Ae)||E(Ae)}i.exports=Ee;function A(Ae,ze){var Ce=Ae[0],me=Ae[1],Re=Ae[2],ce=Ae[3];return Ae[0]=ze[0]*Ce+ze[4]*me+ze[8]*Re+ze[12]*ce,Ae[1]=ze[1]*Ce+ze[5]*me+ze[9]*Re+ze[13]*ce,Ae[2]=ze[2]*Ce+ze[6]*me+ze[10]*Re+ze[14]*ce,Ae[3]=ze[3]*Ce+ze[7]*me+ze[11]*Re+ze[15]*ce,Ae}function L(Ae,ze,Ce,me){return A(me,me,Ce),A(me,me,ze),A(me,me,Ae)}function _(Ae,ze){this.index=Ae,this.dataCoordinate=this.position=ze}function C(Ae){return Ae===!0||Ae>1?1:Ae}function M(Ae,ze,Ce,me,Re,ce,Ge,nt,ct,qt,rt,ot){this.gl=Ae,this.pixelRatio=1,this.shader=ze,this.orthoShader=Ce,this.projectShader=me,this.pointBuffer=Re,this.colorBuffer=ce,this.glyphBuffer=Ge,this.idBuffer=nt,this.vao=ct,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[.6666666666666666,.6666666666666666,.6666666666666666],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=qt,this.pickOrthoShader=rt,this.pickProjectShader=ot,this.points=[],this._selectResult=new _(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}var p=M.prototype;p.pickSlots=1,p.setPickBase=function(Ae){this.pickId=Ae},p.isTransparent=function(){if(this.hasAlpha)return!0;for(var Ae=0;Ae<3;++Ae)if(this.axesProject[Ae]&&this.projectHasAlpha)return!0;return!1},p.isOpaque=function(){if(!this.hasAlpha)return!0;for(var Ae=0;Ae<3;++Ae)if(this.axesProject[Ae]&&!this.projectHasAlpha)return!0;return!1};var P=[0,0],T=[0,0,0],F=[0,0,0],q=[0,0,0,1],V=[0,0,0,1],H=x.slice(),X=[0,0,0],G=[[0,0,0],[0,0,0]];function N(Ae){return Ae[0]=Ae[1]=Ae[2]=0,Ae}function W(Ae,ze){return Ae[0]=ze[0],Ae[1]=ze[1],Ae[2]=ze[2],Ae[3]=1,Ae}function re(Ae,ze,Ce,me){return Ae[0]=ze[0],Ae[1]=ze[1],Ae[2]=ze[2],Ae[Ce]=me,Ae}function ae(Ae){for(var ze=G,Ce=0;Ce<2;++Ce)for(var me=0;me<3;++me)ze[Ce][me]=Math.max(Math.min(Ae[Ce][me],1e8),-1e8);return ze}function _e(Ae,ze,Ce,me){var Re=ze.axesProject,ce=ze.gl,Ge=Ae.uniforms,nt=Ce.model||x,ct=Ce.view||x,qt=Ce.projection||x,rt=ze.axesBounds,ot=ae(ze.clipBounds),Rt;ze.axes&&ze.axes.lastCubeProps?Rt=ze.axes.lastCubeProps.axis:Rt=[1,1,1],P[0]=2/ce.drawingBufferWidth,P[1]=2/ce.drawingBufferHeight,Ae.bind(),Ge.view=ct,Ge.projection=qt,Ge.screenSize=P,Ge.highlightId=ze.highlightId,Ge.highlightScale=ze.highlightScale,Ge.clipBounds=ot,Ge.pickGroup=ze.pickId/255,Ge.pixelRatio=me;for(var kt=0;kt<3;++kt)if(Re[kt]){Ge.scale=ze.projectScale[kt],Ge.opacity=ze.projectOpacity[kt];for(var Ct=H,Yt=0;Yt<16;++Yt)Ct[Yt]=0;for(var Yt=0;Yt<4;++Yt)Ct[5*Yt]=1;Ct[5*kt]=0,Rt[kt]<0?Ct[12+kt]=rt[0][kt]:Ct[12+kt]=rt[1][kt],f(Ct,nt,Ct),Ge.model=Ct;var xr=(kt+1)%3,er=(kt+2)%3,Ke=N(T),xt=N(F);Ke[xr]=1,xt[er]=1;var bt=L(qt,ct,nt,W(q,Ke)),Lt=L(qt,ct,nt,W(V,xt));if(Math.abs(bt[1])>Math.abs(Lt[1])){var St=bt;bt=Lt,Lt=St,St=Ke,Ke=xt,xt=St;var Et=xr;xr=er,er=Et}bt[0]<0&&(Ke[xr]=-1),Lt[1]>0&&(xt[er]=-1);for(var dt=0,Ht=0,Yt=0;Yt<4;++Yt)dt+=Math.pow(nt[4*xr+Yt],2),Ht+=Math.pow(nt[4*er+Yt],2);Ke[xr]/=Math.sqrt(dt),xt[er]/=Math.sqrt(Ht),Ge.axes[0]=Ke,Ge.axes[1]=xt,Ge.fragClipBounds[0]=re(X,ot[0],kt,-1e8),Ge.fragClipBounds[1]=re(X,ot[1],kt,1e8),ze.vao.bind(),ze.vao.draw(ce.TRIANGLES,ze.vertexCount),ze.lineWidth>0&&(ce.lineWidth(ze.lineWidth*me),ze.vao.draw(ce.LINES,ze.lineVertexCount,ze.vertexCount)),ze.vao.unbind()}}var Me=[-1e8,-1e8,-1e8],ke=[1e8,1e8,1e8],ge=[Me,ke];function ie(Ae,ze,Ce,me,Re,ce,Ge){var nt=Ce.gl;if((ce===Ce.projectHasAlpha||Ge)&&_e(ze,Ce,me,Re),ce===Ce.hasAlpha||Ge){Ae.bind();var ct=Ae.uniforms;ct.model=me.model||x,ct.view=me.view||x,ct.projection=me.projection||x,P[0]=2/nt.drawingBufferWidth,P[1]=2/nt.drawingBufferHeight,ct.screenSize=P,ct.highlightId=Ce.highlightId,ct.highlightScale=Ce.highlightScale,ct.fragClipBounds=ge,ct.clipBounds=Ce.axes.bounds,ct.opacity=Ce.opacity,ct.pickGroup=Ce.pickId/255,ct.pixelRatio=Re,Ce.vao.bind(),Ce.vao.draw(nt.TRIANGLES,Ce.vertexCount),Ce.lineWidth>0&&(nt.lineWidth(Ce.lineWidth*Re),Ce.vao.draw(nt.LINES,Ce.lineVertexCount,Ce.vertexCount)),Ce.vao.unbind()}}p.draw=function(Ae){var ze=this.useOrtho?this.orthoShader:this.shader;ie(ze,this.projectShader,this,Ae,this.pixelRatio,!1,!1)},p.drawTransparent=function(Ae){var ze=this.useOrtho?this.orthoShader:this.shader;ie(ze,this.projectShader,this,Ae,this.pixelRatio,!0,!1)},p.drawPick=function(Ae){var ze=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;ie(ze,this.pickProjectShader,this,Ae,1,!0,!0)},p.pick=function(Ae){if(!Ae||Ae.id!==this.pickId)return null;var ze=Ae.value[2]+(Ae.value[1]<<8)+(Ae.value[0]<<16);if(ze>=this.pointCount||ze<0)return null;var Ce=this.points[ze],me=this._selectResult;me.index=ze;for(var Re=0;Re<3;++Re)me.position[Re]=me.dataCoordinate[Re]=Ce[Re];return me},p.highlight=function(Ae){if(!Ae)this.highlightId=[1,1,1,1];else{var ze=Ae.index,Ce=ze&255,me=ze>>8&255,Re=ze>>16&255;this.highlightId=[Ce/255,me/255,Re/255,0]}};function Te(Ae,ze,Ce,me){var Re;k(Ae)?ze<Ae.length?Re=Ae[ze]:Re=void 0:Re=Ae,Re=v(Re);var ce=!0;s(Re)&&(Re=\"\\u25BC\",ce=!1),Ce||(Ce={});var Ge=Ce.family;k(Ge)&&(Ge=Ge[ze]),Ge||(Ge=\"normal\");var nt=Ce.weight;k(nt)&&(nt=nt[ze]),nt||(nt=\"normal\");var ct=Ce.style;k(ct)&&(ct=ct[ze]),ct||(ct=\"normal\");var qt=Ce.variant;k(qt)&&(qt=qt[ze]),qt||(qt=\"normal\");var rt=d(Re,{family:Ge,weight:nt,style:ct,variant:qt},me),rt=d(Re,Ce,me);return{mesh:rt[0],lines:rt[1],bounds:rt[2],visible:ce}}p.update=function(Ae){if(Ae=Ae||{},\"perspective\"in Ae&&(this.useOrtho=!Ae.perspective),\"orthographic\"in Ae&&(this.useOrtho=!!Ae.orthographic),\"lineWidth\"in Ae&&(this.lineWidth=Ae.lineWidth),\"project\"in Ae)if(k(Ae.project))this.axesProject=Ae.project;else{var ze=!!Ae.project;this.axesProject=[ze,ze,ze]}if(\"projectScale\"in Ae)if(k(Ae.projectScale))this.projectScale=Ae.projectScale.slice();else{var Ce=+Ae.projectScale;this.projectScale=[Ce,Ce,Ce]}if(this.projectHasAlpha=!1,\"projectOpacity\"in Ae){if(k(Ae.projectOpacity))this.projectOpacity=Ae.projectOpacity.slice();else{var Ce=+Ae.projectOpacity;this.projectOpacity=[Ce,Ce,Ce]}for(var me=0;me<3;++me)this.projectOpacity[me]=C(this.projectOpacity[me]),this.projectOpacity[me]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in Ae&&(this.opacity=C(Ae.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var Re=Ae.position,ce={family:Ae.font||\"normal\",style:Ae.fontStyle||\"normal\",weight:Ae.fontWeight||\"normal\",variant:Ae.fontVariant||\"normal\"},Ge=Ae.alignment||[0,0],nt,ct;if(Ge.length===2)nt=Ge[0],ct=Ge[1];else{nt=[],ct=[];for(var me=0;me<Ge.length;++me)nt[me]=Ge[me][0],ct[me]=Ge[me][1]}var qt=[1/0,1/0,1/0],rt=[-1/0,-1/0,-1/0],ot=Ae.glyph,Rt=Ae.color,kt=Ae.size,Ct=Ae.angle,Yt=Ae.lineColor,xr=-1,er=0,Ke=0,xt=0;if(Re.length){xt=Re.length;e:for(var me=0;me<xt;++me){for(var bt=Re[me],Lt=0;Lt<3;++Lt)if(isNaN(bt[Lt])||!isFinite(bt[Lt]))continue e;var St=Te(ot,me,ce,this.pixelRatio),Et=St.mesh,dt=St.lines,Ht=St.bounds;er+=Et.cells.length*3,Ke+=dt.edges.length*2}}var $t=er+Ke,fr=c.mallocFloat(3*$t),_r=c.mallocFloat(4*$t),Br=c.mallocFloat(2*$t),Or=c.mallocUint32($t);if($t>0){var Nr=0,ut=er,Ne=[0,0,0,1],Ye=[0,0,0,1],Ve=k(Rt)&&k(Rt[0]),Xe=k(Yt)&&k(Yt[0]);e:for(var me=0;me<xt;++me){xr+=1;for(var bt=Re[me],Lt=0;Lt<3;++Lt){if(isNaN(bt[Lt])||!isFinite(bt[Lt]))continue e;rt[Lt]=Math.max(rt[Lt],bt[Lt]),qt[Lt]=Math.min(qt[Lt],bt[Lt])}var St=Te(ot,me,ce,this.pixelRatio),Et=St.mesh,dt=St.lines,Ht=St.bounds,ht=St.visible;if(!ht)Ne=[1,1,1,0];else if(k(Rt)){var Le;if(Ve?me<Rt.length?Le=Rt[me]:Le=[0,0,0,0]:Le=Rt,Le.length===3){for(var Lt=0;Lt<3;++Lt)Ne[Lt]=Le[Lt];Ne[3]=1}else if(Le.length===4){for(var Lt=0;Lt<4;++Lt)Ne[Lt]=Le[Lt];!this.hasAlpha&&Le[3]<1&&(this.hasAlpha=!0)}}else Ne[0]=Ne[1]=Ne[2]=0,Ne[3]=1;if(!ht)Ye=[1,1,1,0];else if(k(Yt)){var Le;if(Xe?me<Yt.length?Le=Yt[me]:Le=[0,0,0,0]:Le=Yt,Le.length===3){for(var Lt=0;Lt<3;++Lt)Ye[Lt]=Le[Lt];Ye[Lt]=1}else if(Le.length===4){for(var Lt=0;Lt<4;++Lt)Ye[Lt]=Le[Lt];!this.hasAlpha&&Le[3]<1&&(this.hasAlpha=!0)}}else Ye[0]=Ye[1]=Ye[2]=0,Ye[3]=1;var xe=.5;ht?k(kt)?me<kt.length?xe=+kt[me]:xe=12:kt?xe=+kt:this.useOrtho&&(xe=12):xe=0;var Se=0;k(Ct)?me<Ct.length?Se=+Ct[me]:Se=0:Ct&&(Se=+Ct);for(var lt=Math.cos(Se),Gt=Math.sin(Se),bt=Re[me],Lt=0;Lt<3;++Lt)rt[Lt]=Math.max(rt[Lt],bt[Lt]),qt[Lt]=Math.min(qt[Lt],bt[Lt]);var Vt=nt,ar=ct,Vt=0;k(nt)?me<nt.length?Vt=nt[me]:Vt=0:nt&&(Vt=nt);var ar=0;k(ct)?me<ct.length?ar=ct[me]:ar=0:ct&&(ar=ct),Vt*=Vt>0?1-Ht[0][0]:Vt<0?1+Ht[1][0]:1,ar*=ar>0?1-Ht[0][1]:ar<0?1+Ht[1][1]:1;for(var Qr=[Vt,ar],nn=Et.cells||[],Wi=Et.positions||[],Lt=0;Lt<nn.length;++Lt)for(var ai=nn[Lt],jr=0;jr<3;++jr){for(var ri=0;ri<3;++ri)fr[3*Nr+ri]=bt[ri];for(var ri=0;ri<4;++ri)_r[4*Nr+ri]=Ne[ri];Or[Nr]=xr;var bi=Wi[ai[jr]];Br[2*Nr]=xe*(lt*bi[0]-Gt*bi[1]+Qr[0]),Br[2*Nr+1]=xe*(Gt*bi[0]+lt*bi[1]+Qr[1]),Nr+=1}for(var nn=dt.edges,Wi=dt.positions,Lt=0;Lt<nn.length;++Lt)for(var ai=nn[Lt],jr=0;jr<2;++jr){for(var ri=0;ri<3;++ri)fr[3*ut+ri]=bt[ri];for(var ri=0;ri<4;++ri)_r[4*ut+ri]=Ye[ri];Or[ut]=xr;var bi=Wi[ai[jr]];Br[2*ut]=xe*(lt*bi[0]-Gt*bi[1]+Qr[0]),Br[2*ut+1]=xe*(Gt*bi[0]+lt*bi[1]+Qr[1]),ut+=1}}}this.bounds=[qt,rt],this.points=Re,this.pointCount=Re.length,this.vertexCount=er,this.lineVertexCount=Ke,this.pointBuffer.update(fr),this.colorBuffer.update(_r),this.glyphBuffer.update(Br),this.idBuffer.update(Or),c.free(fr),c.free(_r),c.free(Br),c.free(Or)},p.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()};function Ee(Ae){var ze=Ae.gl,Ce=h.createPerspective(ze),me=h.createOrtho(ze),Re=h.createProject(ze),ce=h.createPickPerspective(ze),Ge=h.createPickOrtho(ze),nt=h.createPickProject(ze),ct=l(ze),qt=l(ze),rt=l(ze),ot=l(ze),Rt=u(ze,[{buffer:ct,size:3,type:ze.FLOAT},{buffer:qt,size:4,type:ze.FLOAT},{buffer:rt,size:2,type:ze.FLOAT},{buffer:ot,size:4,type:ze.UNSIGNED_BYTE,normalized:!0}]),kt=new M(ze,Ce,me,Re,ct,qt,rt,ot,Rt,ce,Ge,nt);return kt.update(Ae),kt}},3589:function(i,a,o){\"use strict\";i.exports=x;var s=o(2260),l=o(1888),u=o(9618),c=o(8828).nextPow2,f=function(b,g,E){for(var k=1e8,A=-1,L=-1,_=b.shape[0],C=b.shape[1],M=0;M<_;M++)for(var p=0;p<C;p++){var P=b.get(M,p,0),T=b.get(M,p,1),F=b.get(M,p,2),q=b.get(M,p,3);if(P<255||T<255||F<255||q<255){var V=g-M,H=E-p,X=V*V+H*H;X<k&&(k=X,A=M,L=p)}}return[A,L,k]};function h(b,g,E,k,A){this.coord=[b,g],this.id=E,this.value=k,this.distance=A}function d(b,g,E){this.gl=b,this.fbo=g,this.buffer=E,this._readTimeout=null;var k=this;this._readCallback=function(){k.gl&&(g.bind(),b.readPixels(0,0,g.shape[0],g.shape[1],b.RGBA,b.UNSIGNED_BYTE,k.buffer),k._readTimeout=null)}}var v=d.prototype;Object.defineProperty(v,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(b){if(this.gl){this.fbo.shape=b;var g=this.fbo.shape[0],E=this.fbo.shape[1];if(E*g*4>this.buffer.length){l.free(this.buffer);for(var k=this.buffer=l.mallocUint8(c(E*g*4)),A=0;A<E*g*4;++A)k[A]=255}return b}}}),v.begin=function(){var b=this.gl,g=this.shape;b&&(this.fbo.bind(),b.clearColor(1,1,1,1),b.clear(b.COLOR_BUFFER_BIT|b.DEPTH_BUFFER_BIT))},v.end=function(){var b=this.gl;b&&(b.bindFramebuffer(b.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},v.query=function(b,g,E){if(!this.gl)return null;var k=this.fbo.shape.slice();b=b|0,g=g|0,typeof E!=\"number\"&&(E=1);var A=Math.min(Math.max(b-E,0),k[0])|0,L=Math.min(Math.max(b+E,0),k[0])|0,_=Math.min(Math.max(g-E,0),k[1])|0,C=Math.min(Math.max(g+E,0),k[1])|0;if(L<=A||C<=_)return null;var M=[L-A,C-_],p=u(this.buffer,[M[0],M[1],4],[4,k[0]*4,1],4*(A+k[0]*_)),P=f(p.hi(M[0],M[1],1),E,E),T=P[0],F=P[1];if(T<0||Math.pow(this.radius,2)<P[2])return null;var q=p.get(T,F,0),V=p.get(T,F,1),H=p.get(T,F,2),X=p.get(T,F,3);return new h(T+A|0,F+_|0,q,[V,H,X],Math.sqrt(P[2]))},v.dispose=function(){this.gl&&(this.fbo.dispose(),l.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))};function x(b,g){var E=g[0],k=g[1],A={},L=s(b,E,k,A),_=l.mallocUint8(E*k*4);return new d(b,L,_)}},9405:function(i,a,o){\"use strict\";var s=o(3327),l=o(8731),u=o(216),c=o(5091),f=o(2145),h=o(8866);function d(g){this.gl=g,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var v=d.prototype;v.bind=function(){this.program||this._relink();var g,E=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),k=this.gl.lastAttribCount;if(E>k)for(g=k;g<E;g++)this.gl.enableVertexAttribArray(g);else if(k>E)for(g=E;g<k;g++)this.gl.disableVertexAttribArray(g);this.gl.lastAttribCount=E,this.gl.useProgram(this.program)},v.dispose=function(){for(var g=this.gl.lastAttribCount,E=0;E<g;E++)this.gl.disableVertexAttribArray(E);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null};function x(g,E){return g.name<E.name?-1:1}v.update=function(g,E,k,A){if(!E||arguments.length===1){var L=g;g=L.vertex,E=L.fragment,k=L.uniforms,A=L.attributes}var _=this,C=_.gl,M=_._vref;_._vref=c.shader(C,C.VERTEX_SHADER,g),M&&M.dispose(),_.vertShader=_._vref.shader;var p=this._fref;if(_._fref=c.shader(C,C.FRAGMENT_SHADER,E),p&&p.dispose(),_.fragShader=_._fref.shader,!k||!A){var P=C.createProgram();if(C.attachShader(P,_.fragShader),C.attachShader(P,_.vertShader),C.linkProgram(P),!C.getProgramParameter(P,C.LINK_STATUS)){var T=C.getProgramInfoLog(P);throw new h(T,\"Error linking program:\"+T)}k=k||f.uniforms(C,P),A=A||f.attributes(C,P),C.deleteProgram(P)}A=A.slice(),A.sort(x);var F=[],q=[],V=[],H;for(H=0;H<A.length;++H){var X=A[H];if(X.type.indexOf(\"mat\")>=0){for(var G=X.type.charAt(X.type.length-1)|0,N=new Array(G),W=0;W<G;++W)N[W]=V.length,q.push(X.name+\"[\"+W+\"]\"),typeof X.location==\"number\"?V.push(X.location+W):Array.isArray(X.location)&&X.location.length===G&&typeof X.location[W]==\"number\"?V.push(X.location[W]|0):V.push(-1);F.push({name:X.name,type:X.type,locations:N})}else F.push({name:X.name,type:X.type,locations:[V.length]}),q.push(X.name),typeof X.location==\"number\"?V.push(X.location|0):V.push(-1)}var re=0;for(H=0;H<V.length;++H)if(V[H]<0){for(;V.indexOf(re)>=0;)re+=1;V[H]=re}var ae=new Array(k.length);function _e(){_.program=c.program(C,_._vref,_._fref,q,V);for(var Me=0;Me<k.length;++Me)ae[Me]=C.getUniformLocation(_.program,k[Me].name)}_e(),_._relink=_e,_.types={uniforms:u(k),attributes:u(A)},_.attributes=l(C,_,F,V),Object.defineProperty(_,\"uniforms\",s(C,_,k,ae))};function b(g,E,k,A,L){var _=new d(g);return _.update(E,k,A,L),_}i.exports=b},8866:function(i){function a(o,s,l){this.shortMessage=s||\"\",this.longMessage=l||\"\",this.rawError=o||\"\",this.message=\"gl-shader: \"+(s||o||\"\")+(l?`\n",
+       "`+l:\"\"),this.stack=new Error().stack}a.prototype=new Error,a.prototype.name=\"GLError\",a.prototype.constructor=a,i.exports=a},8731:function(i,a,o){\"use strict\";i.exports=d;var s=o(8866);function l(v,x,b,g,E,k){this._gl=v,this._wrapper=x,this._index=b,this._locations=g,this._dimension=E,this._constFunc=k}var u=l.prototype;u.pointer=function(x,b,g,E){var k=this,A=k._gl,L=k._locations[k._index];A.vertexAttribPointer(L,k._dimension,x||A.FLOAT,!!b,g||0,E||0),A.enableVertexAttribArray(L)},u.set=function(v,x,b,g){return this._constFunc(this._locations[this._index],v,x,b,g)},Object.defineProperty(u,\"location\",{get:function(){return this._locations[this._index]},set:function(v){return v!==this._locations[this._index]&&(this._locations[this._index]=v|0,this._wrapper.program=null),v|0}});var c=[function(v,x,b){return b.length===void 0?v.vertexAttrib1f(x,b):v.vertexAttrib1fv(x,b)},function(v,x,b,g){return b.length===void 0?v.vertexAttrib2f(x,b,g):v.vertexAttrib2fv(x,b)},function(v,x,b,g,E){return b.length===void 0?v.vertexAttrib3f(x,b,g,E):v.vertexAttrib3fv(x,b)},function(v,x,b,g,E,k){return b.length===void 0?v.vertexAttrib4f(x,b,g,E,k):v.vertexAttrib4fv(x,b)}];function f(v,x,b,g,E,k,A){var L=c[E],_=new l(v,x,b,g,E,L);Object.defineProperty(k,A,{set:function(C){return v.disableVertexAttribArray(g[b]),L(v,g[b],C),C},get:function(){return _},enumerable:!0})}function h(v,x,b,g,E,k,A){for(var L=new Array(E),_=new Array(E),C=0;C<E;++C)f(v,x,b[C],g,E,L,C),_[C]=L[C];Object.defineProperty(L,\"location\",{set:function(P){if(Array.isArray(P))for(var T=0;T<E;++T)_[T].location=P[T];else for(var T=0;T<E;++T)_[T].location=P+T;return P},get:function(){for(var P=new Array(E),T=0;T<E;++T)P[T]=g[b[T]];return P},enumerable:!0}),L.pointer=function(P,T,F,q){P=P||v.FLOAT,T=!!T,F=F||E*E,q=q||0;for(var V=0;V<E;++V){var H=g[b[V]];v.vertexAttribPointer(H,E,P,T,F,q+V*E),v.enableVertexAttribArray(H)}};var M=new Array(E),p=v[\"vertexAttrib\"+E+\"fv\"];Object.defineProperty(k,A,{set:function(P){for(var T=0;T<E;++T){var F=g[b[T]];if(v.disableVertexAttribArray(F),Array.isArray(P[0]))p.call(v,F,P[T]);else{for(var q=0;q<E;++q)M[q]=P[E*T+q];p.call(v,F,M)}}return P},get:function(){return L},enumerable:!0})}function d(v,x,b,g){for(var E={},k=0,A=b.length;k<A;++k){var L=b[k],_=L.name,C=L.type,M=L.locations;switch(C){case\"bool\":case\"int\":case\"float\":f(v,x,M[0],g,1,E,_);break;default:if(C.indexOf(\"vec\")>=0){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+_+\": \"+C);f(v,x,M[0],g,p,E,_)}else if(C.indexOf(\"mat\")>=0){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+_+\": \"+C);h(v,x,M,g,p,E,_)}else throw new s(\"\",\"Unknown data type for attribute \"+_+\": \"+C);break}}return E}},3327:function(i,a,o){\"use strict\";var s=o(216),l=o(8866);i.exports=f;function u(h){return function(){return h}}function c(h,d){for(var v=new Array(h),x=0;x<h;++x)v[x]=d;return v}function f(h,d,v,x){function b(C){return function(M,p,P){return M.getUniform(p.program,P[C])}}function g(C){return function(p){for(var P=E(\"\",C),T=0;T<P.length;++T){var F=P[T],q=F[0],V=F[1];if(x[V]){var H=p;if(typeof q==\"string\"&&(q.indexOf(\".\")===0||q.indexOf(\"[\")===0)){var X=q;if(q.indexOf(\".\")===0&&(X=q.slice(1)),X.indexOf(\"]\")===X.length-1){var G=X.indexOf(\"[\"),N=X.slice(0,G),W=X.slice(G+1,X.length-1);H=N?p[N][W]:p[W]}else H=p[X]}var re=v[V].type,ae;switch(re){case\"bool\":case\"int\":case\"sampler2D\":case\"samplerCube\":h.uniform1i(x[V],H);break;case\"float\":h.uniform1f(x[V],H);break;default:var _e=re.indexOf(\"vec\");if(0<=_e&&_e<=1&&re.length===4+_e){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid data type\");switch(re.charAt(0)){case\"b\":case\"i\":h[\"uniform\"+ae+\"iv\"](x[V],H);break;case\"v\":h[\"uniform\"+ae+\"fv\"](x[V],H);break;default:throw new l(\"\",\"Unrecognized data type for vector \"+name+\": \"+re)}}else if(re.indexOf(\"mat\")===0&&re.length===4){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+re);h[\"uniformMatrix\"+ae+\"fv\"](x[V],!1,H);break}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+re)}}}}}function E(C,M){if(typeof M!=\"object\")return[[C,M]];var p=[];for(var P in M){var T=M[P],F=C;parseInt(P)+\"\"===P?F+=\"[\"+P+\"]\":F+=\".\"+P,typeof T==\"object\"?p.push.apply(p,E(F,T)):p.push([F,T])}return p}function k(C){switch(C){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":return 0;case\"float\":return 0;default:var M=C.indexOf(\"vec\");if(0<=M&&M<=1&&C.length===4+M){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new l(\"\",\"Invalid data type\");return C.charAt(0)===\"b\"?c(p,!1):c(p,0)}else if(C.indexOf(\"mat\")===0&&C.length===4){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+C);return c(p*p,0)}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+C)}}function A(C,M,p){if(typeof p==\"object\"){var P=L(p);Object.defineProperty(C,M,{get:u(P),set:g(p),enumerable:!0,configurable:!1})}else x[p]?Object.defineProperty(C,M,{get:b(p),set:g(p),enumerable:!0,configurable:!1}):C[M]=k(v[p].type)}function L(C){var M;if(Array.isArray(C)){M=new Array(C.length);for(var p=0;p<C.length;++p)A(M,p,C[p])}else{M={};for(var P in C)A(M,P,C[P])}return M}var _=s(v,!0);return{get:u(L(_)),set:g(_),enumerable:!0,configurable:!0}}},216:function(i){\"use strict\";i.exports=a;function a(o,s){for(var l={},u=0;u<o.length;++u)for(var c=o[u].name,f=c.split(\".\"),h=l,d=0;d<f.length;++d){var v=f[d].split(\"[\");if(v.length>1){v[0]in h||(h[v[0]]=[]),h=h[v[0]];for(var x=1;x<v.length;++x){var b=parseInt(v[x]);x<v.length-1||d<f.length-1?(b in h||(x<v.length-1?h[b]=[]:h[b]={}),h=h[b]):s?h[b]=u:h[b]=o[u].type}}else d<f.length-1?(v[0]in h||(h[v[0]]={}),h=h[v[0]]):s?h[v[0]]=u:h[v[0]]=o[u].type}return l}},2145:function(i,a){\"use strict\";a.uniforms=u,a.attributes=c;var o={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},s=null;function l(f,h){if(!s){var d=Object.keys(o);s={};for(var v=0;v<d.length;++v){var x=d[v];s[f[x]]=o[x]}}return s[h]}function u(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_UNIFORMS),v=[],x=0;x<d;++x){var b=f.getActiveUniform(h,x);if(b){var g=l(f,b.type);if(b.size>1)for(var E=0;E<b.size;++E)v.push({name:b.name.replace(\"[0]\",\"[\"+E+\"]\"),type:g});else v.push({name:b.name,type:g})}}return v}function c(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_ATTRIBUTES),v=[],x=0;x<d;++x){var b=f.getActiveAttrib(h,x);b&&v.push({name:b.name,type:l(f,b.type)})}return v}},5091:function(i,a,o){\"use strict\";a.shader=E,a.program=k;var s=o(8866),l=o(2992),u=typeof WeakMap==\"undefined\"?o(606):WeakMap,c=new u,f=0;function h(A,L,_,C,M,p,P){this.id=A,this.src=L,this.type=_,this.shader=C,this.count=p,this.programs=[],this.cache=P}h.prototype.dispose=function(){if(--this.count===0){for(var A=this.cache,L=A.gl,_=this.programs,C=0,M=_.length;C<M;++C){var p=A.programs[_[C]];p&&(delete A.programs[C],L.deleteProgram(p))}L.deleteShader(this.shader),delete A.shaders[this.type===L.FRAGMENT_SHADER|0][this.src]}};function d(A){this.gl=A,this.shaders=[{},{}],this.programs={}}var v=d.prototype;function x(A,L,_){var C=A.createShader(L);if(A.shaderSource(C,_),A.compileShader(C),!A.getShaderParameter(C,A.COMPILE_STATUS)){var M=A.getShaderInfoLog(C);try{var p=l(M,_,L)}catch(P){throw console.warn(\"Failed to format compiler error: \"+P),new s(M,`Error compiling shader:\n",
+       "`+M)}throw new s(M,p.short,p.long)}return C}v.getShaderReference=function(A,L){var _=this.gl,C=this.shaders[A===_.FRAGMENT_SHADER|0],M=C[L];if(!M||!_.isShader(M.shader)){var p=x(_,A,L);M=C[L]=new h(f++,L,A,p,[],1,this)}else M.count+=1;return M};function b(A,L,_,C,M){var p=A.createProgram();A.attachShader(p,L),A.attachShader(p,_);for(var P=0;P<C.length;++P)A.bindAttribLocation(p,M[P],C[P]);if(A.linkProgram(p),!A.getProgramParameter(p,A.LINK_STATUS)){var T=A.getProgramInfoLog(p);throw new s(T,\"Error linking program: \"+T)}return p}v.getProgram=function(A,L,_,C){var M=[A.id,L.id,_.join(\":\"),C.join(\":\")].join(\"@\"),p=this.programs[M];return(!p||!this.gl.isProgram(p))&&(this.programs[M]=p=b(this.gl,A.shader,L.shader,_,C),A.programs.push(M),L.programs.push(M)),p};function g(A){var L=c.get(A);return L||(L=new d(A),c.set(A,L)),L}function E(A,L,_){return g(A).getShaderReference(L,_)}function k(A,L,_,C,M){return g(A).getProgram(L,_,C,M)}},1493:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, color;\n",
+       "attribute float weight;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 coordinates[3];\n",
+       "uniform vec4 colors[3];\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float lineWidth;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 vertexPosition = mix(coordinates[0],\n",
+       "    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n",
+       "\n",
+       "  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\n",
+       "  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\n",
+       "  vec2 delta = weight * clipOffset * screenShape;\n",
+       "  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n",
+       "\n",
+       "  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n",
+       "  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n",
+       "}\n",
+       "`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},4449:function(i,a,o){\"use strict\";var s=o(2762),l=o(8116),u=o(1493);i.exports=b;var c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(g,E,k,A){this.gl=g,this.buffer=E,this.vao=k,this.shader=A,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var h=f.prototype,d=[0,0,0],v=[0,0,0],x=[0,0];h.isTransparent=function(){return!1},h.drawTransparent=function(g){},h.draw=function(g){var E=this.gl,k=this.vao,A=this.shader;k.bind(),A.bind();var L=g.model||c,_=g.view||c,C=g.projection||c,M;this.axes&&(M=this.axes.lastCubeProps.axis);for(var p=d,P=v,T=0;T<3;++T)M&&M[T]<0?(p[T]=this.bounds[0][T],P[T]=this.bounds[1][T]):(p[T]=this.bounds[1][T],P[T]=this.bounds[0][T]);x[0]=E.drawingBufferWidth,x[1]=E.drawingBufferHeight,A.uniforms.model=L,A.uniforms.view=_,A.uniforms.projection=C,A.uniforms.coordinates=[this.position,p,P],A.uniforms.colors=this.colors,A.uniforms.screenShape=x;for(var T=0;T<3;++T)A.uniforms.lineWidth=this.lineWidth[T]*this.pixelRatio,this.enabled[T]&&(k.draw(E.TRIANGLES,6,6*T),this.drawSides[T]&&k.draw(E.TRIANGLES,12,18+12*T));k.unbind()},h.update=function(g){g&&(\"bounds\"in g&&(this.bounds=g.bounds),\"position\"in g&&(this.position=g.position),\"lineWidth\"in g&&(this.lineWidth=g.lineWidth),\"colors\"in g&&(this.colors=g.colors),\"enabled\"in g&&(this.enabled=g.enabled),\"drawSides\"in g&&(this.drawSides=g.drawSides))},h.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function b(g,E){var k=[];function A(p,P,T,F,q,V){var H=[p,P,T,0,0,0,1];H[F+3]=1,H[F]=q,k.push.apply(k,H),H[6]=-1,k.push.apply(k,H),H[F]=V,k.push.apply(k,H),k.push.apply(k,H),H[6]=1,k.push.apply(k,H),H[F]=q,k.push.apply(k,H)}A(0,0,0,0,0,1),A(0,0,0,1,0,1),A(0,0,0,2,0,1),A(1,0,0,1,-1,1),A(1,0,0,2,-1,1),A(0,1,0,0,-1,1),A(0,1,0,2,-1,1),A(0,0,1,0,-1,1),A(0,0,1,1,-1,1);var L=s(g,k),_=l(g,[{type:g.FLOAT,buffer:L,size:3,offset:0,stride:28},{type:g.FLOAT,buffer:L,size:3,offset:12,stride:28},{type:g.FLOAT,buffer:L,size:1,offset:24,stride:28}]),C=u(g);C.attributes.position.location=0,C.attributes.color.location=1,C.attributes.weight.location=2;var M=new f(g,L,_,C);return M.update(E),M}},6740:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, tubeScale;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * tubePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n",
+       "  vec4 t_position  = view * tubePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = tubePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float tubeScale;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  gl_Position = projection * (view * tubePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(i,a,o){\"use strict\";var s=o(2931),l=o(9970),u=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],c=function(A,L,_,C){for(var M=A.points,p=A.velocities,P=A.divergences,T=[],F=[],q=[],V=[],H=[],X=[],G=0,N=0,W=l.create(),re=l.create(),ae=8,_e=0;_e<M.length;_e++){var Me=M[_e],ke=p[_e],ge=P[_e];L===0&&(ge=_*.05),N=s.length(ke)/C,W=l.create(),s.copy(W,ke),W[3]=ge;for(var ie=0;ie<ae;ie++)H[ie]=[Me[0],Me[1],Me[2],ie];if(V.length>0)for(var ie=0;ie<ae;ie++){var Te=(ie+1)%ae;T.push(V[ie],H[ie],H[Te],H[Te],V[Te],V[ie]),q.push(re,W,W,W,re,re),X.push(G,N,N,N,G,G);var Ee=T.length;F.push([Ee-6,Ee-5,Ee-4],[Ee-3,Ee-2,Ee-1])}var Ae=V;V=H,H=Ae;var ze=re;re=W,W=ze;var Ce=G;G=N,N=Ce}return{positions:T,cells:F,vectors:q,vertexIntensity:X}},f=function(A,L,_,C){for(var M=0,p=0;p<A.length;p++)for(var P=A[p].velocities,T=0;T<P.length;T++)M=Math.max(M,s.length(P[T]));for(var F=A.map(function(_e){return c(_e,_,C,M)}),q=[],V=[],H=[],X=[],p=0;p<F.length;p++){var G=F[p],N=q.length;q=q.concat(G.positions),H=H.concat(G.vectors),X=X.concat(G.vertexIntensity);for(var T=0;T<G.cells.length;T++){var W=G.cells[T],re=[];V.push(re);for(var ae=0;ae<W.length;ae++)re.push(W[ae]+N)}}return{positions:q,cells:V,vectors:H,vertexIntensity:X,colormap:L}},h=function(A,L){var _=A.length,C;for(C=0;C<_;C++){var M=A[C];if(M===L)return C;if(M>L)return C-1}return C},d=function(A,L,_){return A<L?L:A>_?_:A},v=function(A,L,_){var C=L.vectors,M=L.meshgrid,p=A[0],P=A[1],T=A[2],F=M[0].length,q=M[1].length,V=M[2].length,H=h(M[0],p),X=h(M[1],P),G=h(M[2],T),N=H+1,W=X+1,re=G+1;if(H=d(H,0,F-1),N=d(N,0,F-1),X=d(X,0,q-1),W=d(W,0,q-1),G=d(G,0,V-1),re=d(re,0,V-1),H<0||X<0||G<0||N>F-1||W>q-1||re>V-1)return s.create();var ae=M[0][H],_e=M[0][N],Me=M[1][X],ke=M[1][W],ge=M[2][G],ie=M[2][re],Te=(p-ae)/(_e-ae),Ee=(P-Me)/(ke-Me),Ae=(T-ge)/(ie-ge);isFinite(Te)||(Te=.5),isFinite(Ee)||(Ee=.5),isFinite(Ae)||(Ae=.5);var ze,Ce,me,Re,ce,Ge;switch(_.reversedX&&(H=F-1-H,N=F-1-N),_.reversedY&&(X=q-1-X,W=q-1-W),_.reversedZ&&(G=V-1-G,re=V-1-re),_.filled){case 5:ce=G,Ge=re,me=X*V,Re=W*V,ze=H*V*q,Ce=N*V*q;break;case 4:ce=G,Ge=re,ze=H*V,Ce=N*V,me=X*V*F,Re=W*V*F;break;case 3:me=X,Re=W,ce=G*q,Ge=re*q,ze=H*q*V,Ce=N*q*V;break;case 2:me=X,Re=W,ze=H*q,Ce=N*q,ce=G*q*F,Ge=re*q*F;break;case 1:ze=H,Ce=N,ce=G*F,Ge=re*F,me=X*F*V,Re=W*F*V;break;default:ze=H,Ce=N,me=X*F,Re=W*F,ce=G*F*q,Ge=re*F*q;break}var nt=C[ze+me+ce],ct=C[ze+me+Ge],qt=C[ze+Re+ce],rt=C[ze+Re+Ge],ot=C[Ce+me+ce],Rt=C[Ce+me+Ge],kt=C[Ce+Re+ce],Ct=C[Ce+Re+Ge],Yt=s.create(),xr=s.create(),er=s.create(),Ke=s.create();s.lerp(Yt,nt,ot,Te),s.lerp(xr,ct,Rt,Te),s.lerp(er,qt,kt,Te),s.lerp(Ke,rt,Ct,Te);var xt=s.create(),bt=s.create();s.lerp(xt,Yt,er,Ee),s.lerp(bt,xr,Ke,Ee);var Lt=s.create();return s.lerp(Lt,xt,bt,Ae),Lt},x=function(A,L){var _=L[0],C=L[1],M=L[2];return A[0]=_<0?-_:_,A[1]=C<0?-C:C,A[2]=M<0?-M:M,A},b=function(A){var L=1/0;A.sort(function(p,P){return p-P});for(var _=A.length,C=1;C<_;C++){var M=Math.abs(A[C]-A[C-1]);M<L&&(L=M)}return L},g=function(A){for(var L=[],_=[],C=[],M={},p={},P={},T=A.length,F=0;F<T;F++){var q=A[F],V=q[0],H=q[1],X=q[2];M[V]||(L.push(V),M[V]=!0),p[H]||(_.push(H),p[H]=!0),P[X]||(C.push(X),P[X]=!0)}var G=b(L),N=b(_),W=b(C),re=Math.min(G,N,W);return isFinite(re)?re:1};i.exports=function(A,L){var _=A.startingPositions,C=A.maxLength||1e3,M=A.tubeSize||1,p=A.absoluteTubeSize,P=A.gridFill||\"+x+y+z\",T={};P.indexOf(\"-x\")!==-1&&(T.reversedX=!0),P.indexOf(\"-y\")!==-1&&(T.reversedY=!0),P.indexOf(\"-z\")!==-1&&(T.reversedZ=!0),T.filled=u.indexOf(P.replace(/-/g,\"\").replace(/\\+/g,\"\"));var F=A.getVelocity||function(Rt){return v(Rt,A,T)},q=A.getDivergence||function(Rt,kt){var Ct=s.create(),Yt=1e-4;s.add(Ct,Rt,[Yt,0,0]);var xr=F(Ct);s.subtract(xr,xr,kt),s.scale(xr,xr,1/Yt),s.add(Ct,Rt,[0,Yt,0]);var er=F(Ct);s.subtract(er,er,kt),s.scale(er,er,1/Yt),s.add(Ct,Rt,[0,0,Yt]);var Ke=F(Ct);return s.subtract(Ke,Ke,kt),s.scale(Ke,Ke,1/Yt),s.add(Ct,xr,er),s.add(Ct,Ct,Ke),Ct},V=[],H=L[0][0],X=L[0][1],G=L[0][2],N=L[1][0],W=L[1][1],re=L[1][2],ae=function(Rt){var kt=Rt[0],Ct=Rt[1],Yt=Rt[2];return!(kt<H||kt>N||Ct<X||Ct>W||Yt<G||Yt>re)},_e=s.distance(L[0],L[1]),Me=10*_e/C,ke=Me*Me,ge=1,ie=0,Te=_.length;Te>1&&(ge=g(_));for(var Ee=0;Ee<Te;Ee++){var Ae=s.create();s.copy(Ae,_[Ee]);var ze=[Ae],Ce=[],me=F(Ae),Re=Ae;Ce.push(me);var ce=[],Ge=q(Ae,me),nt=s.length(Ge);isFinite(nt)&&nt>ie&&(ie=nt),ce.push(nt),V.push({points:ze,velocities:Ce,divergences:ce});for(var ct=0;ct<C*100&&ze.length<C&&ae(Ae);){ct++;var qt=s.clone(me),rt=s.squaredLength(qt);if(rt===0)break;if(rt>ke&&s.scale(qt,qt,Me/Math.sqrt(rt)),s.add(qt,qt,Ae),me=F(qt),s.squaredDistance(Re,qt)-ke>-1e-4*ke){ze.push(qt),Re=qt,Ce.push(me);var Ge=q(qt,me),nt=s.length(Ge);isFinite(nt)&&nt>ie&&(ie=nt),ce.push(nt)}Ae=qt}}var ot=f(V,A.colormap,ie,ge);return p?ot.tubeScale=p:(ie===0&&(ie=1),ot.tubeScale=M*.5*ge/ie),ot};var E=o(6740),k=o(6405).createMesh;i.exports.createTubeMesh=function(A,L){return k(A,L,{shaders:E,traceType:\"streamtube\"})}},990:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute vec3 f;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 lightPosition, eyePosition;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 localCoordinate = vec3(uv.zw, f.x);\n",
+       "  worldCoordinate = objectOffset + localCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  gl_Position = clipPosition;\n",
+       "  kill = f.y;\n",
+       "  value = f.z;\n",
+       "  planeCoordinate = uv.xy;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * worldPosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n",
+       "}\n",
+       "`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float beckmannSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness) {\n",
+       "  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 lowerBound, upperBound;\n",
+       "uniform float contourTint;\n",
+       "uniform vec4 contourColor;\n",
+       "uniform sampler2D colormap;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform float vertexColor;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    kill > 0.0 ||\n",
+       "    vColor.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(surfaceNormal);\n",
+       "  vec3 V = normalize(eyeDirection);\n",
+       "  vec3 L = normalize(lightDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  //decide how to interpolate color \\u2014 in vertex or in fragment\n",
+       "  vec4 surfaceColor =\n",
+       "    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n",
+       "    step(.5, vertexColor) * vColor;\n",
+       "\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n",
+       "}\n",
+       "`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute float f;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat3 permutation;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float height, zOffset;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n",
+       "  worldCoordinate = objectOffset + dataCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\n",
+       "\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  clipPosition.z += zOffset;\n",
+       "\n",
+       "  gl_Position = clipPosition;\n",
+       "  value = f + objectOffset.z;\n",
+       "  kill = -1.0;\n",
+       "  planeCoordinate = uv.zw;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Don't do lighting for contours\n",
+       "  surfaceNormal   = vec3(1,0,0);\n",
+       "  eyeDirection    = vec3(0,1,0);\n",
+       "  lightDirection  = vec3(0,0,1);\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec2 shape;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 surfaceNormal;\n",
+       "\n",
+       "vec2 splitFloat(float v) {\n",
+       "  float vh = 255.0 * v;\n",
+       "  float upper = floor(vh);\n",
+       "  float lower = fract(vh);\n",
+       "  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  if ((kill > 0.0) ||\n",
+       "      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n",
+       "\n",
+       "  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n",
+       "  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n",
+       "  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n",
+       "}\n",
+       "`]);a.createShader=function(d){var v=s(d,u,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createPickShader=function(d){var v=s(d,u,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createContourShader=function(d){var v=s(d,f,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v},a.createPickContourShader=function(d){var v=s(d,f,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v}},9499:function(i,a,o){\"use strict\";i.exports=ze;var s=o(8828),l=o(2762),u=o(8116),c=o(7766),f=o(1888),h=o(6729),d=o(5298),v=o(9994),x=o(9618),b=o(3711),g=o(6760),E=o(7608),k=o(2478),A=o(6199),L=o(990),_=L.createShader,C=L.createContourShader,M=L.createPickShader,p=L.createPickContourShader,P=4*10,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],F=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],q=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];(function(){for(var Ce=0;Ce<3;++Ce){var me=q[Ce],Re=(Ce+1)%3,ce=(Ce+2)%3;me[Re+0]=1,me[ce+3]=1,me[Ce+6]=1}})();function V(Ce,me,Re,ce,Ge){this.position=Ce,this.index=me,this.uv=Re,this.level=ce,this.dataCoordinate=Ge}var H=256;function X(Ce,me,Re,ce,Ge,nt,ct,qt,rt,ot,Rt,kt,Ct,Yt,xr){this.gl=Ce,this.shape=me,this.bounds=Re,this.objectOffset=xr,this.intensityBounds=[],this._shader=ce,this._pickShader=Ge,this._coordinateBuffer=nt,this._vao=ct,this._colorMap=qt,this._contourShader=rt,this._contourPickShader=ot,this._contourBuffer=Rt,this._contourVAO=kt,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new V([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=Ct,this._dynamicVAO=Yt,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[x(f.mallocFloat(1024),[0,0]),x(f.mallocFloat(1024),[0,0]),x(f.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var G=X.prototype;G.genColormap=function(Ce,me){var Re=!1,ce=v([h({colormap:Ce,nshades:H,format:\"rgba\"}).map(function(Ge,nt){var ct=me?N(nt/255,me):Ge[3];return ct<1&&(Re=!0),[Ge[0],Ge[1],Ge[2],255*ct]})]);return d.divseq(ce,255),this.hasAlphaScale=Re,ce},G.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},G.isOpaque=function(){return!this.isTransparent()},G.pickSlots=1,G.setPickBase=function(Ce){this.pickId=Ce};function N(Ce,me){if(!me||!me.length)return 1;for(var Re=0;Re<me.length;++Re){if(me.length<2)return 1;if(me[Re][0]===Ce)return me[Re][1];if(me[Re][0]>Ce&&Re>0){var ce=(me[Re][0]-Ce)/(me[Re][0]-me[Re-1][0]);return me[Re][1]*(1-ce)+ce*me[Re-1][1]}}return 1}var W=[0,0,0],re={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function ae(Ce,me){var Re,ce,Ge,nt=me.axes&&me.axes.lastCubeProps.axis||W,ct=me.showSurface,qt=me.showContour;for(Re=0;Re<3;++Re)for(ct=ct||me.surfaceProject[Re],ce=0;ce<3;++ce)qt=qt||me.contourProject[Re][ce];for(Re=0;Re<3;++Re){var rt=re.projections[Re];for(ce=0;ce<16;++ce)rt[ce]=0;for(ce=0;ce<4;++ce)rt[5*ce]=1;rt[5*Re]=0,rt[12+Re]=me.axesBounds[+(nt[Re]>0)][Re],g(rt,Ce.model,rt);var ot=re.clipBounds[Re];for(Ge=0;Ge<2;++Ge)for(ce=0;ce<3;++ce)ot[Ge][ce]=Ce.clipBounds[Ge][ce];ot[0][Re]=-1e8,ot[1][Re]=1e8}return re.showSurface=ct,re.showContour=qt,re}var _e={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},Me=T.slice(),ke=[1,0,0,0,1,0,0,0,1];function ge(Ce,me){Ce=Ce||{};var Re=this.gl;Re.disable(Re.CULL_FACE),this._colorMap.bind(0);var ce=_e;ce.model=Ce.model||T,ce.view=Ce.view||T,ce.projection=Ce.projection||T,ce.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],ce.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],ce.objectOffset=this.objectOffset,ce.contourColor=this.contourColor[0],ce.inverseModel=E(ce.inverseModel,ce.model);for(var Ge=0;Ge<2;++Ge)for(var nt=ce.clipBounds[Ge],ct=0;ct<3;++ct)nt[ct]=Math.min(Math.max(this.clipBounds[Ge][ct],-1e8),1e8);ce.kambient=this.ambientLight,ce.kdiffuse=this.diffuseLight,ce.kspecular=this.specularLight,ce.roughness=this.roughness,ce.fresnel=this.fresnel,ce.opacity=this.opacity,ce.height=0,ce.permutation=ke,ce.vertexColor=this.vertexColor;var qt=Me;for(g(qt,ce.view,ce.model),g(qt,ce.projection,qt),E(qt,qt),Ge=0;Ge<3;++Ge)ce.eyePosition[Ge]=qt[12+Ge]/qt[15];var rt=qt[15];for(Ge=0;Ge<3;++Ge)rt+=this.lightPosition[Ge]*qt[4*Ge+3];for(Ge=0;Ge<3;++Ge){var ot=qt[12+Ge];for(ct=0;ct<3;++ct)ot+=qt[4*ct+Ge]*this.lightPosition[ct];ce.lightPosition[Ge]=ot/rt}var Rt=ae(ce,this);if(Rt.showSurface){for(this._shader.bind(),this._shader.uniforms=ce,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(Re.TRIANGLES,this._vertexCount),Ge=0;Ge<3;++Ge)!this.surfaceProject[Ge]||!this.vertexCount||(this._shader.uniforms.model=Rt.projections[Ge],this._shader.uniforms.clipBounds=Rt.clipBounds[Ge],this._vao.draw(Re.TRIANGLES,this._vertexCount));this._vao.unbind()}if(Rt.showContour){var kt=this._contourShader;ce.kambient=1,ce.kdiffuse=0,ce.kspecular=0,ce.opacity=1,kt.bind(),kt.uniforms=ce;var Ct=this._contourVAO;for(Ct.bind(),Ge=0;Ge<3;++Ge)for(kt.uniforms.permutation=q[Ge],Re.lineWidth(this.contourWidth[Ge]*this.pixelRatio),ct=0;ct<this.contourLevels[Ge].length;++ct)ct===this.highlightLevel[Ge]?(kt.uniforms.contourColor=this.highlightColor[Ge],kt.uniforms.contourTint=this.highlightTint[Ge]):(ct===0||ct-1===this.highlightLevel[Ge])&&(kt.uniforms.contourColor=this.contourColor[Ge],kt.uniforms.contourTint=this.contourTint[Ge]),this._contourCounts[Ge][ct]&&(kt.uniforms.height=this.contourLevels[Ge][ct],Ct.draw(Re.LINES,this._contourCounts[Ge][ct],this._contourOffsets[Ge][ct]));for(Ge=0;Ge<3;++Ge)for(kt.uniforms.model=Rt.projections[Ge],kt.uniforms.clipBounds=Rt.clipBounds[Ge],ct=0;ct<3;++ct)if(this.contourProject[Ge][ct]){kt.uniforms.permutation=q[ct],Re.lineWidth(this.contourWidth[ct]*this.pixelRatio);for(var Yt=0;Yt<this.contourLevels[ct].length;++Yt)Yt===this.highlightLevel[ct]?(kt.uniforms.contourColor=this.highlightColor[ct],kt.uniforms.contourTint=this.highlightTint[ct]):(Yt===0||Yt-1===this.highlightLevel[ct])&&(kt.uniforms.contourColor=this.contourColor[ct],kt.uniforms.contourTint=this.contourTint[ct]),this._contourCounts[ct][Yt]&&(kt.uniforms.height=this.contourLevels[ct][Yt],Ct.draw(Re.LINES,this._contourCounts[ct][Yt],this._contourOffsets[ct][Yt]))}for(Ct.unbind(),Ct=this._dynamicVAO,Ct.bind(),Ge=0;Ge<3;++Ge)if(this._dynamicCounts[Ge]!==0)for(kt.uniforms.model=ce.model,kt.uniforms.clipBounds=ce.clipBounds,kt.uniforms.permutation=q[Ge],Re.lineWidth(this.dynamicWidth[Ge]*this.pixelRatio),kt.uniforms.contourColor=this.dynamicColor[Ge],kt.uniforms.contourTint=this.dynamicTint[Ge],kt.uniforms.height=this.dynamicLevel[Ge],Ct.draw(Re.LINES,this._dynamicCounts[Ge],this._dynamicOffsets[Ge]),ct=0;ct<3;++ct)this.contourProject[ct][Ge]&&(kt.uniforms.model=Rt.projections[ct],kt.uniforms.clipBounds=Rt.clipBounds[ct],Ct.draw(Re.LINES,this._dynamicCounts[Ge],this._dynamicOffsets[Ge]));Ct.unbind()}}G.draw=function(Ce){return ge.call(this,Ce,!1)},G.drawTransparent=function(Ce){return ge.call(this,Ce,!0)};var ie={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};G.drawPick=function(Ce){Ce=Ce||{};var me=this.gl;me.disable(me.CULL_FACE);var Re=ie;Re.model=Ce.model||T,Re.view=Ce.view||T,Re.projection=Ce.projection||T,Re.shape=this._field[2].shape,Re.pickId=this.pickId/255,Re.lowerBound=this.bounds[0],Re.upperBound=this.bounds[1],Re.objectOffset=this.objectOffset,Re.permutation=ke;for(var ce=0;ce<2;++ce)for(var Ge=Re.clipBounds[ce],nt=0;nt<3;++nt)Ge[nt]=Math.min(Math.max(this.clipBounds[ce][nt],-1e8),1e8);var ct=ae(Re,this);if(ct.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=Re,this._vao.bind(),this._vao.draw(me.TRIANGLES,this._vertexCount),ce=0;ce<3;++ce)this.surfaceProject[ce]&&(this._pickShader.uniforms.model=ct.projections[ce],this._pickShader.uniforms.clipBounds=ct.clipBounds[ce],this._vao.draw(me.TRIANGLES,this._vertexCount));this._vao.unbind()}if(ct.showContour){var qt=this._contourPickShader;qt.bind(),qt.uniforms=Re;var rt=this._contourVAO;for(rt.bind(),nt=0;nt<3;++nt)for(me.lineWidth(this.contourWidth[nt]*this.pixelRatio),qt.uniforms.permutation=q[nt],ce=0;ce<this.contourLevels[nt].length;++ce)this._contourCounts[nt][ce]&&(qt.uniforms.height=this.contourLevels[nt][ce],rt.draw(me.LINES,this._contourCounts[nt][ce],this._contourOffsets[nt][ce]));for(ce=0;ce<3;++ce)for(qt.uniforms.model=ct.projections[ce],qt.uniforms.clipBounds=ct.clipBounds[ce],nt=0;nt<3;++nt)if(this.contourProject[ce][nt]){qt.uniforms.permutation=q[nt],me.lineWidth(this.contourWidth[nt]*this.pixelRatio);for(var ot=0;ot<this.contourLevels[nt].length;++ot)this._contourCounts[nt][ot]&&(qt.uniforms.height=this.contourLevels[nt][ot],rt.draw(me.LINES,this._contourCounts[nt][ot],this._contourOffsets[nt][ot]))}rt.unbind()}},G.pick=function(Ce){if(!Ce||Ce.id!==this.pickId)return null;var me=this._field[2].shape,Re=this._pickResult,ce=me[0]*(Ce.value[0]+(Ce.value[2]>>4)/16)/255,Ge=Math.floor(ce),nt=ce-Ge,ct=me[1]*(Ce.value[1]+(Ce.value[2]&15)/16)/255,qt=Math.floor(ct),rt=ct-qt;Ge+=1,qt+=1;var ot=Re.position;ot[0]=ot[1]=ot[2]=0;for(var Rt=0;Rt<2;++Rt)for(var kt=Rt?nt:1-nt,Ct=0;Ct<2;++Ct)for(var Yt=Ct?rt:1-rt,xr=Ge+Rt,er=qt+Ct,Ke=kt*Yt,xt=0;xt<3;++xt)ot[xt]+=this._field[xt].get(xr,er)*Ke;for(var bt=this._pickResult.level,Lt=0;Lt<3;++Lt)if(bt[Lt]=k.le(this.contourLevels[Lt],ot[Lt]),bt[Lt]<0)this.contourLevels[Lt].length>0&&(bt[Lt]=0);else if(bt[Lt]<this.contourLevels[Lt].length-1){var St=this.contourLevels[Lt][bt[Lt]],Et=this.contourLevels[Lt][bt[Lt]+1];Math.abs(St-ot[Lt])>Math.abs(Et-ot[Lt])&&(bt[Lt]+=1)}for(Re.index[0]=nt<.5?Ge:Ge+1,Re.index[1]=rt<.5?qt:qt+1,Re.uv[0]=ce/me[0],Re.uv[1]=ct/me[1],xt=0;xt<3;++xt)Re.dataCoordinate[xt]=this._field[xt].get(Re.index[0],Re.index[1]);return Re},G.padField=function(Ce,me){var Re=me.shape.slice(),ce=Ce.shape.slice();d.assign(Ce.lo(1,1).hi(Re[0],Re[1]),me),d.assign(Ce.lo(1).hi(Re[0],1),me.hi(Re[0],1)),d.assign(Ce.lo(1,ce[1]-1).hi(Re[0],1),me.lo(0,Re[1]-1).hi(Re[0],1)),d.assign(Ce.lo(0,1).hi(1,Re[1]),me.hi(1)),d.assign(Ce.lo(ce[0]-1,1).hi(1,Re[1]),me.lo(Re[0]-1)),Ce.set(0,0,me.get(0,0)),Ce.set(0,ce[1]-1,me.get(0,Re[1]-1)),Ce.set(ce[0]-1,0,me.get(Re[0]-1,0)),Ce.set(ce[0]-1,ce[1]-1,me.get(Re[0]-1,Re[1]-1))};function Te(Ce,me){return Array.isArray(Ce)?[me(Ce[0]),me(Ce[1]),me(Ce[2])]:[me(Ce),me(Ce),me(Ce)]}function Ee(Ce){return Array.isArray(Ce)?Ce.length===3?[Ce[0],Ce[1],Ce[2],1]:[Ce[0],Ce[1],Ce[2],Ce[3]]:[0,0,0,1]}function Ae(Ce){if(Array.isArray(Ce)){if(Array.isArray(Ce))return[Ee(Ce[0]),Ee(Ce[1]),Ee(Ce[2])];var me=Ee(Ce);return[me.slice(),me.slice(),me.slice()]}}G.update=function(Ce){Ce=Ce||{},this.objectOffset=Ce.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in Ce&&(this.contourWidth=Te(Ce.contourWidth,Number)),\"showContour\"in Ce&&(this.showContour=Te(Ce.showContour,Boolean)),\"showSurface\"in Ce&&(this.showSurface=!!Ce.showSurface),\"contourTint\"in Ce&&(this.contourTint=Te(Ce.contourTint,Boolean)),\"contourColor\"in Ce&&(this.contourColor=Ae(Ce.contourColor)),\"contourProject\"in Ce&&(this.contourProject=Te(Ce.contourProject,function(Gi){return Te(Gi,Boolean)})),\"surfaceProject\"in Ce&&(this.surfaceProject=Ce.surfaceProject),\"dynamicColor\"in Ce&&(this.dynamicColor=Ae(Ce.dynamicColor)),\"dynamicTint\"in Ce&&(this.dynamicTint=Te(Ce.dynamicTint,Number)),\"dynamicWidth\"in Ce&&(this.dynamicWidth=Te(Ce.dynamicWidth,Number)),\"opacity\"in Ce&&(this.opacity=Ce.opacity),\"opacityscale\"in Ce&&(this.opacityscale=Ce.opacityscale),\"colorBounds\"in Ce&&(this.colorBounds=Ce.colorBounds),\"vertexColor\"in Ce&&(this.vertexColor=Ce.vertexColor?1:0),\"colormap\"in Ce&&this._colorMap.setPixels(this.genColormap(Ce.colormap,this.opacityscale));var me=Ce.field||Ce.coords&&Ce.coords[2]||null,Re=!1;if(me||(this._field[2].shape[0]||this._field[2].shape[2]?me=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):me=this._field[2].hi(0,0)),\"field\"in Ce||\"coords\"in Ce){var ce=(me.shape[0]+2)*(me.shape[1]+2);ce>this._field[2].data.length&&(f.freeFloat(this._field[2].data),this._field[2].data=f.mallocFloat(s.nextPow2(ce))),this._field[2]=x(this._field[2].data,[me.shape[0]+2,me.shape[1]+2]),this.padField(this._field[2],me),this.shape=me.shape.slice();for(var Ge=this.shape,nt=0;nt<2;++nt)this._field[2].size>this._field[nt].data.length&&(f.freeFloat(this._field[nt].data),this._field[nt].data=f.mallocFloat(this._field[2].size)),this._field[nt]=x(this._field[nt].data,[Ge[0]+2,Ge[1]+2]);if(Ce.coords){var ct=Ce.coords;if(!Array.isArray(ct)||ct.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(nt=0;nt<2;++nt){var qt=ct[nt];for(Ct=0;Ct<2;++Ct)if(qt.shape[Ct]!==Ge[Ct])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[nt],qt)}}else if(Ce.ticks){var rt=Ce.ticks;if(!Array.isArray(rt)||rt.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(nt=0;nt<2;++nt){var ot=rt[nt];if((Array.isArray(ot)||ot.length)&&(ot=x(ot)),ot.shape[0]!==Ge[nt])throw new Error(\"gl-surface: invalid tick length\");var Rt=x(ot.data,Ge);Rt.stride[nt]=ot.stride[0],Rt.stride[nt^1]=0,this.padField(this._field[nt],Rt)}}else{for(nt=0;nt<2;++nt){var kt=[0,0];kt[nt]=1,this._field[nt]=x(this._field[nt].data,[Ge[0]+2,Ge[1]+2],kt,0)}this._field[0].set(0,0,0);for(var Ct=0;Ct<Ge[0];++Ct)this._field[0].set(Ct+1,0,Ct);for(this._field[0].set(Ge[0]+1,0,Ge[0]-1),this._field[1].set(0,0,0),Ct=0;Ct<Ge[1];++Ct)this._field[1].set(0,Ct+1,Ct);this._field[1].set(0,Ge[1]+1,Ge[1]-1)}var Yt=this._field,xr=x(f.mallocFloat(Yt[2].size*3*2),[3,Ge[0]+2,Ge[1]+2,2]);for(nt=0;nt<3;++nt)A(xr.pick(nt),Yt[nt],\"mirror\");var er=x(f.mallocFloat(Yt[2].size*3),[Ge[0]+2,Ge[1]+2,3]);for(nt=0;nt<Ge[0]+2;++nt)for(Ct=0;Ct<Ge[1]+2;++Ct){var Ke=xr.get(0,nt,Ct,0),xt=xr.get(0,nt,Ct,1),bt=xr.get(1,nt,Ct,0),Lt=xr.get(1,nt,Ct,1),St=xr.get(2,nt,Ct,0),Et=xr.get(2,nt,Ct,1),dt=bt*Et-Lt*St,Ht=St*xt-Et*Ke,$t=Ke*Lt-xt*bt,fr=Math.sqrt(dt*dt+Ht*Ht+$t*$t);fr<1e-8?(fr=Math.max(Math.abs(dt),Math.abs(Ht),Math.abs($t)),fr<1e-8?($t=1,Ht=dt=0,fr=1):fr=1/fr):fr=1/Math.sqrt(fr),er.set(nt,Ct,0,dt*fr),er.set(nt,Ct,1,Ht*fr),er.set(nt,Ct,2,$t*fr)}f.free(xr.data);var _r=[1/0,1/0,1/0],Br=[-1/0,-1/0,-1/0],Or=1/0,Nr=-1/0,ut=(Ge[0]-1)*(Ge[1]-1)*6,Ne=f.mallocFloat(s.nextPow2(10*ut)),Ye=0,Ve=0;for(nt=0;nt<Ge[0]-1;++nt)e:for(Ct=0;Ct<Ge[1]-1;++Ct){for(var Xe=0;Xe<2;++Xe)for(var ht=0;ht<2;++ht)for(var Le=0;Le<3;++Le){var xe=this._field[Le].get(1+nt+Xe,1+Ct+ht);if(isNaN(xe)||!isFinite(xe))continue e}for(Le=0;Le<6;++Le){var Se=nt+F[Le][0],lt=Ct+F[Le][1],Gt=this._field[0].get(Se+1,lt+1),Vt=this._field[1].get(Se+1,lt+1);xe=this._field[2].get(Se+1,lt+1),dt=er.get(Se+1,lt+1,0),Ht=er.get(Se+1,lt+1,1),$t=er.get(Se+1,lt+1,2),Ce.intensity&&(ar=Ce.intensity.get(Se,lt));var ar=Ce.intensity?Ce.intensity.get(Se,lt):xe+this.objectOffset[2];Ne[Ye++]=Se,Ne[Ye++]=lt,Ne[Ye++]=Gt,Ne[Ye++]=Vt,Ne[Ye++]=xe,Ne[Ye++]=0,Ne[Ye++]=ar,Ne[Ye++]=dt,Ne[Ye++]=Ht,Ne[Ye++]=$t,_r[0]=Math.min(_r[0],Gt+this.objectOffset[0]),_r[1]=Math.min(_r[1],Vt+this.objectOffset[1]),_r[2]=Math.min(_r[2],xe+this.objectOffset[2]),Or=Math.min(Or,ar),Br[0]=Math.max(Br[0],Gt+this.objectOffset[0]),Br[1]=Math.max(Br[1],Vt+this.objectOffset[1]),Br[2]=Math.max(Br[2],xe+this.objectOffset[2]),Nr=Math.max(Nr,ar),Ve+=1}}for(Ce.intensityBounds&&(Or=+Ce.intensityBounds[0],Nr=+Ce.intensityBounds[1]),nt=6;nt<Ye;nt+=10)Ne[nt]=(Ne[nt]-Or)/(Nr-Or);this._vertexCount=Ve,this._coordinateBuffer.update(Ne.subarray(0,Ye)),f.freeFloat(Ne),f.free(er.data),this.bounds=[_r,Br],this.intensity=Ce.intensity||this._field[2],(this.intensityBounds[0]!==Or||this.intensityBounds[1]!==Nr)&&(Re=!0),this.intensityBounds=[Or,Nr]}if(\"levels\"in Ce){var Qr=Ce.levels;for(Array.isArray(Qr[0])?Qr=Qr.slice():Qr=[[],[],Qr],nt=0;nt<3;++nt)Qr[nt]=Qr[nt].slice(),Qr[nt].sort(function(Gi,Ki){return Gi-Ki});for(nt=0;nt<3;++nt)for(Ct=0;Ct<Qr[nt].length;++Ct)Qr[nt][Ct]-=this.objectOffset[nt];e:for(nt=0;nt<3;++nt){if(Qr[nt].length!==this.contourLevels[nt].length){Re=!0;break}for(Ct=0;Ct<Qr[nt].length;++Ct)if(Qr[nt][Ct]!==this.contourLevels[nt][Ct]){Re=!0;break e}}this.contourLevels=Qr}if(Re){Yt=this._field,Ge=this.shape;for(var ai=[],jr=0;jr<3;++jr){var ri=this.contourLevels[jr],bi=[],nn=[],Wi=[0,0,0];for(nt=0;nt<ri.length;++nt){var Ni=b(this._field[jr],ri[nt]);bi.push(ai.length/5|0),Ve=0;e:for(Ct=0;Ct<Ni.cells.length;++Ct){var _n=Ni.cells[Ct];for(Le=0;Le<2;++Le){var $i=Ni.positions[_n[Le]],zn=$i[0],Wn=Math.floor(zn)|0,It=zn-Wn,ft=$i[1],jt=Math.floor(ft)|0,Zt=ft-jt,yr=!1;t:for(var Fr=0;Fr<3;++Fr){Wi[Fr]=0;var Zr=(jr+Fr+1)%3;for(Xe=0;Xe<2;++Xe){var Vr=Xe?It:1-It;for(Se=Math.min(Math.max(Wn+Xe,0),Ge[0])|0,ht=0;ht<2;++ht){var gi=ht?Zt:1-Zt;if(lt=Math.min(Math.max(jt+ht,0),Ge[1])|0,Fr<2?xe=this._field[Zr].get(Se,lt):xe=(this.intensity.get(Se,lt)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(xe)||isNaN(xe)){yr=!0;break t}var Si=Vr*gi;Wi[Fr]+=Si*xe}}}if(!yr)ai.push(Wi[0],Wi[1],$i[0],$i[1],Wi[2]),Ve+=1;else{if(Le>0){for(var Mi=0;Mi<5;++Mi)ai.pop();Ve-=1}continue e}}}nn.push(Ve)}this._contourOffsets[jr]=bi,this._contourCounts[jr]=nn}var Pi=f.mallocFloat(ai.length);for(nt=0;nt<ai.length;++nt)Pi[nt]=ai[nt];this._contourBuffer.update(Pi),f.freeFloat(Pi)}},G.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var Ce=0;Ce<3;++Ce)f.freeFloat(this._field[Ce].data)},G.highlight=function(Ce){var me;if(!Ce){this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],this.highlightLevel=[-1,-1,-1];return}for(me=0;me<3;++me)this.enableHighlight[me]?this.highlightLevel[me]=Ce.level[me]:this.highlightLevel[me]=-1;var Re;for(this.snapToData?Re=Ce.dataCoordinate:Re=Ce.position,me=0;me<3;++me)Re[me]-=this.objectOffset[me];if(!((!this.enableDynamic[0]||Re[0]===this.dynamicLevel[0])&&(!this.enableDynamic[1]||Re[1]===this.dynamicLevel[1])&&(!this.enableDynamic[2]||Re[2]===this.dynamicLevel[2]))){for(var ce=0,Ge=this.shape,nt=f.mallocFloat(12*Ge[0]*Ge[1]),ct=0;ct<3;++ct){if(!this.enableDynamic[ct]){this.dynamicLevel[ct]=NaN,this._dynamicCounts[ct]=0;continue}this.dynamicLevel[ct]=Re[ct];var qt=(ct+1)%3,rt=(ct+2)%3,ot=this._field[ct],Rt=this._field[qt],kt=this._field[rt],Ct=b(ot,Re[ct]),Yt=Ct.cells,xr=Ct.positions;for(this._dynamicOffsets[ct]=ce,me=0;me<Yt.length;++me)for(var er=Yt[me],Ke=0;Ke<2;++Ke){var xt=xr[er[Ke]],bt=+xt[0],Lt=bt|0,St=Math.min(Lt+1,Ge[0])|0,Et=bt-Lt,dt=1-Et,Ht=+xt[1],$t=Ht|0,fr=Math.min($t+1,Ge[1])|0,_r=Ht-$t,Br=1-_r,Or=dt*Br,Nr=dt*_r,ut=Et*Br,Ne=Et*_r,Ye=Or*Rt.get(Lt,$t)+Nr*Rt.get(Lt,fr)+ut*Rt.get(St,$t)+Ne*Rt.get(St,fr),Ve=Or*kt.get(Lt,$t)+Nr*kt.get(Lt,fr)+ut*kt.get(St,$t)+Ne*kt.get(St,fr);if(isNaN(Ye)||isNaN(Ve)){Ke&&(ce-=1);break}nt[2*ce+0]=Ye,nt[2*ce+1]=Ve,ce+=1}this._dynamicCounts[ct]=ce-this._dynamicOffsets[ct]}this._dynamicBuffer.update(nt.subarray(0,2*ce)),f.freeFloat(nt)}};function ze(Ce){var me=Ce.gl,Re=_(me),ce=M(me),Ge=C(me),nt=p(me),ct=l(me),qt=u(me,[{buffer:ct,size:4,stride:P,offset:0},{buffer:ct,size:3,stride:P,offset:16},{buffer:ct,size:3,stride:P,offset:28}]),rt=l(me),ot=u(me,[{buffer:rt,size:4,stride:20,offset:0},{buffer:rt,size:1,stride:20,offset:16}]),Rt=l(me),kt=u(me,[{buffer:Rt,size:2,type:me.FLOAT}]),Ct=c(me,1,H,me.RGBA,me.UNSIGNED_BYTE);Ct.minFilter=me.LINEAR,Ct.magFilter=me.LINEAR;var Yt=new X(me,[0,0],[[0,0,0],[0,0,0]],Re,ce,ct,qt,Ct,Ge,nt,rt,ot,Rt,kt,[0,0,0]),xr={levels:[[],[],[]]};for(var er in Ce)xr[er]=Ce[er];return xr.colormap=xr.colormap||\"jet\",Yt.update(xr),Yt}},7766:function(i,a,o){\"use strict\";var s=o(9618),l=o(5298),u=o(1888);i.exports=p;var c=null,f=null,h=null;function d(P){c=[P.LINEAR,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_NEAREST],f=[P.NEAREST,P.LINEAR,P.NEAREST_MIPMAP_NEAREST,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_LINEAR],h=[P.REPEAT,P.CLAMP_TO_EDGE,P.MIRRORED_REPEAT]}function v(P){return typeof HTMLCanvasElement!=\"undefined\"&&P instanceof HTMLCanvasElement||typeof HTMLImageElement!=\"undefined\"&&P instanceof HTMLImageElement||typeof HTMLVideoElement!=\"undefined\"&&P instanceof HTMLVideoElement||typeof ImageData!=\"undefined\"&&P instanceof ImageData}var x=function(P,T){l.muls(P,T,255)};function b(P,T,F){var q=P.gl,V=q.getParameter(q.MAX_TEXTURE_SIZE);if(T<0||T>V||F<0||F>V)throw new Error(\"gl-texture2d: Invalid texture size\");return P._shape=[T,F],P.bind(),q.texImage2D(q.TEXTURE_2D,0,P.format,T,F,0,P.format,P.type,null),P._mipLevels=[0],P}function g(P,T,F,q,V,H){this.gl=P,this.handle=T,this.format=V,this.type=H,this._shape=[F,q],this._mipLevels=[0],this._magFilter=P.NEAREST,this._minFilter=P.NEAREST,this._wrapS=P.CLAMP_TO_EDGE,this._wrapT=P.CLAMP_TO_EDGE,this._anisoSamples=1;var X=this,G=[this._wrapS,this._wrapT];Object.defineProperties(G,[{get:function(){return X._wrapS},set:function(W){return X.wrapS=W}},{get:function(){return X._wrapT},set:function(W){return X.wrapT=W}}]),this._wrapVector=G;var N=[this._shape[0],this._shape[1]];Object.defineProperties(N,[{get:function(){return X._shape[0]},set:function(W){return X.width=W}},{get:function(){return X._shape[1]},set:function(W){return X.height=W}}]),this._shapeVector=N}var E=g.prototype;Object.defineProperties(E,{minFilter:{get:function(){return this._minFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MIN_FILTER,P),this._minFilter=P}},magFilter:{get:function(){return this._magFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MAG_FILTER,P),this._magFilter=P}},mipSamples:{get:function(){return this._anisoSamples},set:function(P){var T=this._anisoSamples;if(this._anisoSamples=Math.max(P,1)|0,T!==this._anisoSamples){var F=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");F&&this.gl.texParameterf(this.gl.TEXTURE_2D,F.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,P),this._wrapS=P}},wrapT:{get:function(){return this._wrapT},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,P),this._wrapT=P}},wrap:{get:function(){return this._wrapVector},set:function(P){if(Array.isArray(P)||(P=[P,P]),P.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var T=0;T<2;++T)if(h.indexOf(P[T])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);this._wrapS=P[0],this._wrapT=P[1];var F=this.gl;return this.bind(),F.texParameteri(F.TEXTURE_2D,F.TEXTURE_WRAP_S,this._wrapS),F.texParameteri(F.TEXTURE_2D,F.TEXTURE_WRAP_T,this._wrapT),P}},shape:{get:function(){return this._shapeVector},set:function(P){if(!Array.isArray(P))P=[P|0,P|0];else if(P.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return b(this,P[0]|0,P[1]|0),[P[0]|0,P[1]|0]}},width:{get:function(){return this._shape[0]},set:function(P){return P=P|0,b(this,P,this._shape[1]),P}},height:{get:function(){return this._shape[1]},set:function(P){return P=P|0,b(this,this._shape[0],P),P}}}),E.bind=function(P){var T=this.gl;return P!==void 0&&T.activeTexture(T.TEXTURE0+(P|0)),T.bindTexture(T.TEXTURE_2D,this.handle),P!==void 0?P|0:T.getParameter(T.ACTIVE_TEXTURE)-T.TEXTURE0},E.dispose=function(){this.gl.deleteTexture(this.handle)},E.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var P=Math.min(this._shape[0],this._shape[1]),T=0;P>0;++T,P>>>=1)this._mipLevels.indexOf(T)<0&&this._mipLevels.push(T)},E.setPixels=function(P,T,F,q){var V=this.gl;this.bind(),Array.isArray(T)?(q=F,F=T[1]|0,T=T[0]|0):(T=T||0,F=F||0),q=q||0;var H=v(P)?P:P.raw;if(H){var X=this._mipLevels.indexOf(q)<0;X?(V.texImage2D(V.TEXTURE_2D,0,this.format,this.format,this.type,H),this._mipLevels.push(q)):V.texSubImage2D(V.TEXTURE_2D,q,T,F,this.format,this.type,H)}else if(P.shape&&P.stride&&P.data){if(P.shape.length<2||T+P.shape[1]>this._shape[1]>>>q||F+P.shape[0]>this._shape[0]>>>q||T<0||F<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");A(V,T,F,q,this.format,this.type,this._mipLevels,P)}else throw new Error(\"gl-texture2d: Unsupported data type\")};function k(P,T){return P.length===3?T[2]===1&&T[1]===P[0]*P[2]&&T[0]===P[2]:T[0]===1&&T[1]===P[0]}function A(P,T,F,q,V,H,X,G){var N=G.dtype,W=G.shape.slice();if(W.length<2||W.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var re=0,ae=0,_e=k(W,G.stride.slice());N===\"float32\"?re=P.FLOAT:N===\"float64\"?(re=P.FLOAT,_e=!1,N=\"float32\"):N===\"uint8\"?re=P.UNSIGNED_BYTE:(re=P.UNSIGNED_BYTE,_e=!1,N=\"uint8\");var Me=1;if(W.length===2)ae=P.LUMINANCE,W=[W[0],W[1],1],G=s(G.data,W,[G.stride[0],G.stride[1],1],G.offset);else if(W.length===3){if(W[2]===1)ae=P.ALPHA;else if(W[2]===2)ae=P.LUMINANCE_ALPHA;else if(W[2]===3)ae=P.RGB;else if(W[2]===4)ae=P.RGBA;else throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");Me=W[2]}else throw new Error(\"gl-texture2d: Invalid shape for texture\");if((ae===P.LUMINANCE||ae===P.ALPHA)&&(V===P.LUMINANCE||V===P.ALPHA)&&(ae=V),ae!==V)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var ke=G.size,ge=X.indexOf(q)<0;if(ge&&X.push(q),re===H&&_e)G.offset===0&&G.data.length===ke?ge?P.texImage2D(P.TEXTURE_2D,q,V,W[0],W[1],0,V,H,G.data):P.texSubImage2D(P.TEXTURE_2D,q,T,F,W[0],W[1],V,H,G.data):ge?P.texImage2D(P.TEXTURE_2D,q,V,W[0],W[1],0,V,H,G.data.subarray(G.offset,G.offset+ke)):P.texSubImage2D(P.TEXTURE_2D,q,T,F,W[0],W[1],V,H,G.data.subarray(G.offset,G.offset+ke));else{var ie;H===P.FLOAT?ie=u.mallocFloat32(ke):ie=u.mallocUint8(ke);var 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if(rt<0){for(Rt=C*Re,kt=C*ge,Ct=C*ie,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,nt=Ct+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=L[nt],L[nt]=Ee,$t+=T;++ge,--ie;break}else{for(Rt=C*Re,kt=C*ie,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=Ee,$t+=T;--ie;break}}}else for(Re=ge;Re<=ie;++Re){ce=_+Re*C,Ht=0;e:for(ot=0;ot<P;++ot){if(ct=L[ce]-_r[Ht],ct!==0)break e;Ht+=q,ce+=F}if(ct<0){if(Re!==ge)for(Rt=C*Re,kt=C*ge,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=Ee,$t+=T;++ge}else{ce=_+Re*C,Ht=0;e:for(ot=0;ot<P;++ot){if(qt=L[ce]-Br[Ht],qt!==0)break e;Ht+=q,ce+=F}if(qt>0)for(;;){ce=_+ie*C,Ht=0;e:for(ot=0;ot<P;++ot){if(rt=L[ce]-Br[Ht],rt!==0)break e;Ht+=q,ce+=F}if(rt>0){if(--ie<Re)break;continue}else{ce=_+ie*C,Ht=0;e:for(ot=0;ot<P;++ot){if(rt=L[ce]-_r[Ht],rt!==0)break 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e;Ht+=q,ce+=F}if(ct===0){if(Re!==ge)for(Rt=C*Re,kt=C*ge,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=Ee,$t+=T;++ge}else{ce=_+Re*C,Ht=0;e:for(ot=0;ot<P;++ot){if(qt=L[ce]-Br[Ht],qt!==0)break e;Ht+=q,ce+=F}if(qt===0)for(;;){ce=_+ie*C,Ht=0;e:for(ot=0;ot<P;++ot){if(rt=L[ce]-Br[Ht],rt!==0)break e;Ht+=q,ce+=F}if(rt===0){if(--ie<Re)break;continue}else{ce=_+ie*C,Ht=0;e:for(ot=0;ot<P;++ot){if(rt=L[ce]-_r[Ht],rt!==0)break e;Ht+=q,ce+=F}if(rt<0){for(Rt=C*Re,kt=C*ge,Ct=C*ie,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,nt=Ct+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=L[nt],L[nt]=Ee,$t+=T;++ge,--ie}else{for(Rt=C*Re,kt=C*ie,$t=_,ot=0;ot<P;++ot)ce=Rt+$t,Ge=kt+$t,Ee=L[ce],L[ce]=L[Ge],L[Ge]=Ee,$t+=T;--ie}break}}}}}g(_r),g(Br),ie-ge<=32?x(ge,ie,L,_,C,M,p,P,T,F,q):E(ge,ie,L,_,C,M,p,P,T,F,q)}}};function h(x,b,g){var E=l(b),k=[b,x].join(\",\"),A=f[k];return x.length>1&&E?A(g,E[0],E[1]):A(g)}var d={\"uint32,1,0\":function(x,b){return function(g){var 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F=this.shape[0],q=this.shape[1],V=this.shape[2],H=this.shape[3],X=this.shape[4],G=this.stride[0],N=this.stride[1],W=this.stride[2],re=this.stride[3],ae=this.stride[4],_e=this.offset,Me=0,ke=Math.ceil;return typeof C==\"number\"&&(Me=C|0,Me<0?(_e+=G*(F-1),F=ke(-F/Me)):F=ke(F/Me),G*=Me),typeof M==\"number\"&&(Me=M|0,Me<0?(_e+=N*(q-1),q=ke(-q/Me)):q=ke(q/Me),N*=Me),typeof p==\"number\"&&(Me=p|0,Me<0?(_e+=W*(V-1),V=ke(-V/Me)):V=ke(V/Me),W*=Me),typeof P==\"number\"&&(Me=P|0,Me<0?(_e+=re*(H-1),H=ke(-H/Me)):H=ke(H/Me),re*=Me),typeof T==\"number\"&&(Me=T|0,Me<0?(_e+=ae*(X-1),X=ke(-X/Me)):X=ke(X/Me),ae*=Me),new A(this.data,F,q,V,H,X,G,N,W,re,ae,_e)},L.transpose=function(C,M,p,P,T){C=C===void 0?0:C|0,M=M===void 0?1:M|0,p=p===void 0?2:p|0,P=P===void 0?3:P|0,T=T===void 0?4:T|0;var F=this.shape,q=this.stride;return new A(this.data,F[C],F[M],F[p],F[P],F[T],q[C],q[M],q[p],q[P],q[T],this.offset)},L.pick=function(C,M,p,P,T){var F=[],q=[],V=this.offset;typeof 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Int32Array]\":return\"int32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(b)?\"array\":\"generic\"}var v={generic:[],buffer:[],array:[],float32:[],float64:[],int8:[],int16:[],int32:[],uint8_clamped:[],uint8:[],uint16:[],uint32:[],bigint64:[],biguint64:[]};function x(b,g,E,k){if(b===void 0){var p=v.array[0];return p([])}else typeof b==\"number\"&&(b=[b]);g===void 0&&(g=[b.length]);var A=g.length;if(E===void 0){E=new Array(A);for(var L=A-1,_=1;L>=0;--L)E[L]=_,_*=g[L]}if(k===void 0){k=0;for(var L=0;L<A;++L)E[L]<0&&(k-=(g[L]-1)*E[L])}for(var C=d(b),M=v[C];M.length<=A+1;)M.push(h(C,M.length-1));var p=M[A+1];return p(b,g,E,k)}i.exports=x},1278:function(i,a,o){\"use strict\";var s=o(2361),l=Math.pow(2,-1074),u=-1>>>0;i.exports=c;function c(f,h){if(isNaN(f)||isNaN(h))return NaN;if(f===h)return f;if(f===0)return h<0?-l:l;var d=s.hi(f),v=s.lo(f);return h>f==f>0?v===u?(d+=1,v=0):v+=1:v===0?(v=u,d-=1):v-=1,s.pack(v,d)}},8406:function(i,a){var o=1e-6,s=1e-6;a.vertexNormals=function(l,u,c){for(var f=u.length,h=new Array(f),d=c===void 0?o:c,v=0;v<f;++v)h[v]=[0,0,0];for(var v=0;v<l.length;++v)for(var x=l[v],b=0,g=x[x.length-1],E=x[0],k=0;k<x.length;++k){b=g,g=E,E=x[(k+1)%x.length];for(var A=u[b],L=u[g],_=u[E],C=new Array(3),M=0,p=new Array(3),P=0,T=0;T<3;++T)C[T]=A[T]-L[T],M+=C[T]*C[T],p[T]=_[T]-L[T],P+=p[T]*p[T];if(M*P>d)for(var F=h[g],q=1/Math.sqrt(M*P),T=0;T<3;++T){var V=(T+1)%3,H=(T+2)%3;F[T]+=q*(p[V]*C[H]-p[H]*C[V])}}for(var v=0;v<f;++v){for(var F=h[v],X=0,T=0;T<3;++T)X+=F[T]*F[T];if(X>d)for(var q=1/Math.sqrt(X),T=0;T<3;++T)F[T]*=q;else for(var T=0;T<3;++T)F[T]=0}return h},a.faceNormals=function(l,u,c){for(var f=l.length,h=new Array(f),d=c===void 0?s:c,v=0;v<f;++v){for(var x=l[v],b=new Array(3),g=0;g<3;++g)b[g]=u[x[g]];for(var E=new Array(3),k=new Array(3),g=0;g<3;++g)E[g]=b[1][g]-b[0][g],k[g]=b[2][g]-b[0][g];for(var A=new Array(3),L=0,g=0;g<3;++g){var _=(g+1)%3,C=(g+2)%3;A[g]=E[_]*k[C]-E[C]*k[_],L+=A[g]*A[g]}L>d?L=1/Math.sqrt(L):L=0;for(var g=0;g<3;++g)A[g]*=L;h[v]=A}return h}},4081:function(i){\"use strict\";i.exports=a;function a(o,s,l,u,c,f,h,d,v,x){var b=s+f+x;if(g>0){var g=Math.sqrt(b+1);o[0]=.5*(h-v)/g,o[1]=.5*(d-u)/g,o[2]=.5*(l-f)/g,o[3]=.5*g}else{var E=Math.max(s,f,x),g=Math.sqrt(2*E-b+1);s>=E?(o[0]=.5*g,o[1]=.5*(c+l)/g,o[2]=.5*(d+u)/g,o[3]=.5*(h-v)/g):f>=E?(o[0]=.5*(l+c)/g,o[1]=.5*g,o[2]=.5*(v+h)/g,o[3]=.5*(d-u)/g):(o[0]=.5*(u+d)/g,o[1]=.5*(h+v)/g,o[2]=.5*g,o[3]=.5*(l-c)/g)}return o}},9977:function(i,a,o){\"use strict\";i.exports=g;var s=o(9215),l=o(6582),u=o(7399),c=o(7608),f=o(4081);function h(E,k,A){return Math.sqrt(Math.pow(E,2)+Math.pow(k,2)+Math.pow(A,2))}function d(E,k,A,L){return Math.sqrt(Math.pow(E,2)+Math.pow(k,2)+Math.pow(A,2)+Math.pow(L,2))}function v(E,k){var A=k[0],L=k[1],_=k[2],C=k[3],M=d(A,L,_,C);M>1e-6?(E[0]=A/M,E[1]=L/M,E[2]=_/M,E[3]=C/M):(E[0]=E[1]=E[2]=0,E[3]=1)}function x(E,k,A){this.radius=s([A]),this.center=s(k),this.rotation=s(E),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var b=x.prototype;b.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},b.recalcMatrix=function(E){this.radius.curve(E),this.center.curve(E),this.rotation.curve(E);var k=this.computedRotation;v(k,k);var A=this.computedMatrix;u(A,k);var L=this.computedCenter,_=this.computedEye,C=this.computedUp,M=Math.exp(this.computedRadius[0]);_[0]=L[0]+M*A[2],_[1]=L[1]+M*A[6],_[2]=L[2]+M*A[10],C[0]=A[1],C[1]=A[5],C[2]=A[9];for(var p=0;p<3;++p){for(var P=0,T=0;T<3;++T)P+=A[p+4*T]*_[T];A[12+p]=-P}},b.getMatrix=function(E,k){this.recalcMatrix(E);var A=this.computedMatrix;if(k){for(var L=0;L<16;++L)k[L]=A[L];return k}return A},b.idle=function(E){this.center.idle(E),this.radius.idle(E),this.rotation.idle(E)},b.flush=function(E){this.center.flush(E),this.radius.flush(E),this.rotation.flush(E)},b.pan=function(E,k,A,L){k=k||0,A=A||0,L=L||0,this.recalcMatrix(E);var _=this.computedMatrix,C=_[1],M=_[5],p=_[9],P=h(C,M,p);C/=P,M/=P,p/=P;var T=_[0],F=_[4],q=_[8],V=T*C+F*M+q*p;T-=C*V,F-=M*V,q-=p*V;var H=h(T,F,q);T/=H,F/=H,q/=H;var X=_[2],G=_[6],N=_[10],W=X*C+G*M+N*p,re=X*T+G*F+N*q;X-=W*C+re*T,G-=W*M+re*F,N-=W*p+re*q;var ae=h(X,G,N);X/=ae,G/=ae,N/=ae;var _e=T*k+C*A,Me=F*k+M*A,ke=q*k+p*A;this.center.move(E,_e,Me,ke);var ge=Math.exp(this.computedRadius[0]);ge=Math.max(1e-4,ge+L),this.radius.set(E,Math.log(ge))},b.rotate=function(E,k,A,L){this.recalcMatrix(E),k=k||0,A=A||0;var _=this.computedMatrix,C=_[0],M=_[4],p=_[8],P=_[1],T=_[5],F=_[9],q=_[2],V=_[6],H=_[10],X=k*C+A*P,G=k*M+A*T,N=k*p+A*F,W=-(V*N-H*G),re=-(H*X-q*N),ae=-(q*G-V*X),_e=Math.sqrt(Math.max(0,1-Math.pow(W,2)-Math.pow(re,2)-Math.pow(ae,2))),Me=d(W,re,ae,_e);Me>1e-6?(W/=Me,re/=Me,ae/=Me,_e/=Me):(W=re=ae=0,_e=1);var ke=this.computedRotation,ge=ke[0],ie=ke[1],Te=ke[2],Ee=ke[3],Ae=ge*_e+Ee*W+ie*ae-Te*re,ze=ie*_e+Ee*re+Te*W-ge*ae,Ce=Te*_e+Ee*ae+ge*re-ie*W,me=Ee*_e-ge*W-ie*re-Te*ae;if(L){W=q,re=V,ae=H;var Re=Math.sin(L)/h(W,re,ae);W*=Re,re*=Re,ae*=Re,_e=Math.cos(k),Ae=Ae*_e+me*W+ze*ae-Ce*re,ze=ze*_e+me*re+Ce*W-Ae*ae,Ce=Ce*_e+me*ae+Ae*re-ze*W,me=me*_e-Ae*W-ze*re-Ce*ae}var ce=d(Ae,ze,Ce,me);ce>1e-6?(Ae/=ce,ze/=ce,Ce/=ce,me/=ce):(Ae=ze=Ce=0,me=1),this.rotation.set(E,Ae,ze,Ce,me)},b.lookAt=function(E,k,A,L){this.recalcMatrix(E),A=A||this.computedCenter,k=k||this.computedEye,L=L||this.computedUp;var _=this.computedMatrix;l(_,k,A,L);var C=this.computedRotation;f(C,_[0],_[1],_[2],_[4],_[5],_[6],_[8],_[9],_[10]),v(C,C),this.rotation.set(E,C[0],C[1],C[2],C[3]);for(var M=0,p=0;p<3;++p)M+=Math.pow(A[p]-k[p],2);this.radius.set(E,.5*Math.log(Math.max(M,1e-6))),this.center.set(E,A[0],A[1],A[2])},b.translate=function(E,k,A,L){this.center.move(E,k||0,A||0,L||0)},b.setMatrix=function(E,k){var A=this.computedRotation;f(A,k[0],k[1],k[2],k[4],k[5],k[6],k[8],k[9],k[10]),v(A,A),this.rotation.set(E,A[0],A[1],A[2],A[3]);var L=this.computedMatrix;c(L,k);var _=L[15];if(Math.abs(_)>1e-6){var C=L[12]/_,M=L[13]/_,p=L[14]/_;this.recalcMatrix(E);var P=Math.exp(this.computedRadius[0]);this.center.set(E,C-L[2]*P,M-L[6]*P,p-L[10]*P),this.radius.idle(E)}else 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g=c[b],E=g.length;if(E===4){var k=(d[g[0]]<<0)+(d[g[1]]<<1)+(d[g[2]]<<2)+(d[g[3]]<<3);if(k===0||k===15)continue;switch(k){case 0:break;case 1:x.push([l(h,f,g[0],g[1]),l(h,f,g[0],g[2]),l(h,f,g[0],g[3])]);break;case 2:x.push([l(h,f,g[1],g[2]),l(h,f,g[1],g[0]),l(h,f,g[1],g[3])]);break;case 3:x.push([l(h,f,g[1],g[2]),l(h,f,g[0],g[2]),l(h,f,g[0],g[3])],[l(h,f,g[1],g[3]),l(h,f,g[1],g[2]),l(h,f,g[0],g[3])]);break;case 4:x.push([l(h,f,g[2],g[0]),l(h,f,g[2],g[1]),l(h,f,g[2],g[3])]);break;case 5:x.push([l(h,f,g[0],g[1]),l(h,f,g[2],g[1]),l(h,f,g[0],g[3])],[l(h,f,g[2],g[1]),l(h,f,g[2],g[3]),l(h,f,g[0],g[3])]);break;case 6:x.push([l(h,f,g[2],g[0]),l(h,f,g[1],g[0]),l(h,f,g[1],g[3])],[l(h,f,g[2],g[3]),l(h,f,g[2],g[0]),l(h,f,g[1],g[3])]);break;case 7:x.push([l(h,f,g[0],g[3]),l(h,f,g[1],g[3]),l(h,f,g[2],g[3])]);break;case 8:x.push([l(h,f,g[3],g[1]),l(h,f,g[3],g[0]),l(h,f,g[3],g[2])]);break;case 9:x.push([l(h,f,g[3],g[1]),l(h,f,g[0],g[1]),l(h,f,g[0],g[2])],[l(h,f,g[3],g[2]),l(h,f,g[3],g[1]),l(h,f,g[0],g[2])]);break;case 10:x.push([l(h,f,g[1],g[0]),l(h,f,g[3],g[0]),l(h,f,g[1],g[2])],[l(h,f,g[3],g[0]),l(h,f,g[3],g[2]),l(h,f,g[1],g[2])]);break;case 11:x.push([l(h,f,g[1],g[2]),l(h,f,g[0],g[2]),l(h,f,g[3],g[2])]);break;case 12:x.push([l(h,f,g[3],g[0]),l(h,f,g[2],g[0]),l(h,f,g[2],g[1])],[l(h,f,g[3],g[1]),l(h,f,g[3],g[0]),l(h,f,g[2],g[1])]);break;case 13:x.push([l(h,f,g[0],g[1]),l(h,f,g[2],g[1]),l(h,f,g[3],g[1])]);break;case 14:x.push([l(h,f,g[2],g[0]),l(h,f,g[1],g[0]),l(h,f,g[3],g[0])]);break;case 15:break}}else if(E===3){var k=(d[g[0]]<<0)+(d[g[1]]<<1)+(d[g[2]]<<2);if(k===0||k===7)continue;switch(k){case 0:break;case 1:x.push([l(h,f,g[0],g[2]),l(h,f,g[0],g[1])]);break;case 2:x.push([l(h,f,g[1],g[0]),l(h,f,g[1],g[2])]);break;case 3:x.push([l(h,f,g[0],g[2]),l(h,f,g[1],g[2])]);break;case 4:x.push([l(h,f,g[2],g[1]),l(h,f,g[2],g[0])]);break;case 5:x.push([l(h,f,g[2],g[1]),l(h,f,g[0],g[1])]);break;case 6:x.push([l(h,f,g[1],g[0]),l(h,f,g[2],g[0])]);break;case 7:break}}else if(E===2){var k=(d[g[0]]<<0)+(d[g[1]]<<1);if(k===0||k===3)continue;switch(k){case 0:break;case 1:x.push([l(h,f,g[0],g[1])]);break;case 2:x.push([l(h,f,g[1],g[0])]);break;case 3:break}}}return x}return u}];function o(s){return a[s]()}},6803:function(i,a,o){\"use strict\";var s,l=o(8828),u=o(1755);function c(P){for(var T=0,F=Math.max,q=0,V=P.length;q<V;++q)T=F(T,P[q].length);return T-1}s=c;function f(P){for(var T=-1,F=Math.max,q=0,V=P.length;q<V;++q)for(var H=P[q],X=0,G=H.length;X<G;++X)T=F(T,H[X]);return T+1}s=f;function h(P){for(var T=new Array(P.length),F=0,q=P.length;F<q;++F)T[F]=P[F].slice(0);return T}s=h;function d(P,T){var F=P.length,q=P.length-T.length,V=Math.min;if(q)return q;switch(F){case 0:return 0;case 1:return P[0]-T[0];case 2:var W=P[0]+P[1]-T[0]-T[1];return W||V(P[0],P[1])-V(T[0],T[1]);case 3:var H=P[0]+P[1],X=T[0]+T[1];if(W=H+P[2]-(X+T[2]),W)return W;var G=V(P[0],P[1]),N=V(T[0],T[1]),W=V(G,P[2])-V(N,T[2]);return W||V(G+P[2],H)-V(N+T[2],X);default:var re=P.slice(0);re.sort();var ae=T.slice(0);ae.sort();for(var _e=0;_e<F;++_e)if(q=re[_e]-ae[_e],q)return q;return 0}}a.Fw=d;function v(P,T){return d(P[0],T[0])}function x(P,T){if(T){for(var F=P.length,q=new Array(F),V=0;V<F;++V)q[V]=[P[V],T[V]];q.sort(v);for(var V=0;V<F;++V)P[V]=q[V][0],T[V]=q[V][1];return P}else return P.sort(d),P}s=x;function b(P){if(P.length===0)return[];for(var T=1,F=P.length,q=1;q<F;++q){var V=P[q];if(d(V,P[q-1])){if(q===T){T++;continue}P[T++]=V}}return P.length=T,P}s=b;function g(P,T){for(var F=0,q=P.length-1,V=-1;F<=q;){var H=F+q>>1,X=d(P[H],T);X<=0?(X===0&&(V=H),F=H+1):X>0&&(q=H-1)}return V}s=g;function E(P,T){for(var F=new Array(P.length),q=0,V=F.length;q<V;++q)F[q]=[];for(var H=[],q=0,X=T.length;q<X;++q)for(var G=T[q],N=G.length,W=1,re=1<<N;W<re;++W){H.length=l.popCount(W);for(var ae=0,_e=0;_e<N;++_e)W&1<<_e&&(H[ae++]=G[_e]);var Me=g(P,H);if(!(Me<0))for(;F[Me++].push(q),!(Me>=P.length||d(P[Me],H)!==0););}return F}s=E;function k(P,T){if(!T)return E(b(L(P,0)),P,0);for(var F=new Array(T),q=0;q<T;++q)F[q]=[];for(var q=0,V=P.length;q<V;++q)for(var H=P[q],X=0,G=H.length;X<G;++X)F[H[X]].push(q);return F}s=k;function A(P){for(var T=[],F=0,q=P.length;F<q;++F)for(var V=P[F],H=V.length|0,X=1,G=1<<H;X<G;++X){for(var N=[],W=0;W<H;++W)X>>>W&1&&N.push(V[W]);T.push(N)}return x(T)}s=A;function L(P,T){if(T<0)return[];for(var F=[],q=(1<<T+1)-1,V=0;V<P.length;++V)for(var H=P[V],X=q;X<1<<H.length;X=l.nextCombination(X)){for(var G=new Array(T+1),N=0,W=0;W<H.length;++W)X&1<<W&&(G[N++]=H[W]);F.push(G)}return x(F)}s=L;function _(P){for(var T=[],F=0,q=P.length;F<q;++F)for(var V=P[F],H=0,X=V.length;H<X;++H){for(var G=new Array(V.length-1),N=0,W=0;N<X;++N)N!==H&&(G[W++]=V[N]);T.push(G)}return x(T)}s=_;function C(P,T){for(var F=new u(T),q=0;q<P.length;++q)for(var V=P[q],H=0;H<V.length;++H)for(var X=H+1;X<V.length;++X)F.link(V[H],V[X]);for(var G=[],N=F.ranks,q=0;q<N.length;++q)N[q]=-1;for(var q=0;q<P.length;++q){var W=F.find(P[q][0]);N[W]<0?(N[W]=G.length,G.push([P[q].slice(0)])):G[N[W]].push(P[q].slice(0))}return G}function M(P){for(var T=b(x(L(P,0))),F=new u(T.length),q=0;q<P.length;++q)for(var V=P[q],H=0;H<V.length;++H)for(var X=g(T,[V[H]]),G=H+1;G<V.length;++G)F.link(X,g(T,[V[G]]));for(var N=[],W=F.ranks,q=0;q<W.length;++q)W[q]=-1;for(var q=0;q<P.length;++q){var re=F.find(g(T,[P[q][0]]));W[re]<0?(W[re]=N.length,N.push([P[q].slice(0)])):N[W[re]].push(P[q].slice(0))}return N}function p(P,T){return T?C(P,T):M(P)}s=p},3105:function(i,a){\"use strict\";\"use restrict\";var o=32;a.INT_BITS=o,a.INT_MAX=2147483647,a.INT_MIN=-1<<o-1,a.sign=function(u){return(u>0)-(u<0)},a.abs=function(u){var c=u>>o-1;return(u^c)-c},a.min=function(u,c){return c^(u^c)&-(u<c)},a.max=function(u,c){return u^(u^c)&-(u<c)},a.isPow2=function(u){return!(u&u-1)&&!!u},a.log2=function(u){var c,f;return c=(u>65535)<<4,u>>>=c,f=(u>255)<<3,u>>>=f,c|=f,f=(u>15)<<2,u>>>=f,c|=f,f=(u>3)<<1,u>>>=f,c|=f,c|u>>1},a.log10=function(u){return u>=1e9?9:u>=1e8?8:u>=1e7?7:u>=1e6?6:u>=1e5?5:u>=1e4?4:u>=1e3?3:u>=100?2:u>=10?1:0},a.popCount=function(u){return u=u-(u>>>1&1431655765),u=(u&858993459)+(u>>>2&858993459),(u+(u>>>4)&252645135)*16843009>>>24};function s(u){var c=32;return u&=-u,u&&c--,u&65535&&(c-=16),u&16711935&&(c-=8),u&252645135&&(c-=4),u&858993459&&(c-=2),u&1431655765&&(c-=1),c}a.countTrailingZeros=s,a.nextPow2=function(u){return u+=u===0,--u,u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u+1},a.prevPow2=function(u){return u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u-(u>>>1)},a.parity=function(u){return u^=u>>>16,u^=u>>>8,u^=u>>>4,u&=15,27030>>>u&1};var l=new Array(256);(function(u){for(var c=0;c<256;++c){var f=c,h=c,d=7;for(f>>>=1;f;f>>>=1)h<<=1,h|=f&1,--d;u[c]=h<<d&255}})(l),a.reverse=function(u){return l[u&255]<<24|l[u>>>8&255]<<16|l[u>>>16&255]<<8|l[u>>>24&255]},a.interleave2=function(u,c){return u&=65535,u=(u|u<<8)&16711935,u=(u|u<<4)&252645135,u=(u|u<<2)&858993459,u=(u|u<<1)&1431655765,c&=65535,c=(c|c<<8)&16711935,c=(c|c<<4)&252645135,c=(c|c<<2)&858993459,c=(c|c<<1)&1431655765,u|c<<1},a.deinterleave2=function(u,c){return u=u>>>c&1431655765,u=(u|u>>>1)&858993459,u=(u|u>>>2)&252645135,u=(u|u>>>4)&16711935,u=(u|u>>>16)&65535,u<<16>>16},a.interleave3=function(u,c,f){return u&=1023,u=(u|u<<16)&4278190335,u=(u|u<<8)&251719695,u=(u|u<<4)&3272356035,u=(u|u<<2)&1227133513,c&=1023,c=(c|c<<16)&4278190335,c=(c|c<<8)&251719695,c=(c|c<<4)&3272356035,c=(c|c<<2)&1227133513,u|=c<<1,f&=1023,f=(f|f<<16)&4278190335,f=(f|f<<8)&251719695,f=(f|f<<4)&3272356035,f=(f|f<<2)&1227133513,u|f<<2},a.deinterleave3=function(u,c){return u=u>>>c&1227133513,u=(u|u>>>2)&3272356035,u=(u|u>>>4)&251719695,u=(u|u>>>8)&4278190335,u=(u|u>>>16)&1023,u<<22>>22},a.nextCombination=function(u){var c=u|u-1;return c+1|(~c&-~c)-1>>>s(u)+1}},2014:function(i,a,o){\"use strict\";\"use restrict\";var s=o(3105),l=o(4623);function u(p){for(var P=0,T=Math.max,F=0,q=p.length;F<q;++F)P=T(P,p[F].length);return P-1}a.dimension=u;function c(p){for(var P=-1,T=Math.max,F=0,q=p.length;F<q;++F)for(var V=p[F],H=0,X=V.length;H<X;++H)P=T(P,V[H]);return P+1}a.countVertices=c;function f(p){for(var P=new Array(p.length),T=0,F=p.length;T<F;++T)P[T]=p[T].slice(0);return P}a.cloneCells=f;function h(p,P){var T=p.length,F=p.length-P.length,q=Math.min;if(F)return F;switch(T){case 0:return 0;case 1:return p[0]-P[0];case 2:var N=p[0]+p[1]-P[0]-P[1];return N||q(p[0],p[1])-q(P[0],P[1]);case 3:var V=p[0]+p[1],H=P[0]+P[1];if(N=V+p[2]-(H+P[2]),N)return N;var X=q(p[0],p[1]),G=q(P[0],P[1]),N=q(X,p[2])-q(G,P[2]);return N||q(X+p[2],V)-q(G+P[2],H);default:var W=p.slice(0);W.sort();var re=P.slice(0);re.sort();for(var ae=0;ae<T;++ae)if(F=W[ae]-re[ae],F)return F;return 0}}a.compareCells=h;function d(p,P){return h(p[0],P[0])}function v(p,P){if(P){for(var T=p.length,F=new Array(T),q=0;q<T;++q)F[q]=[p[q],P[q]];F.sort(d);for(var q=0;q<T;++q)p[q]=F[q][0],P[q]=F[q][1];return p}else return p.sort(h),p}a.normalize=v;function x(p){if(p.length===0)return[];for(var P=1,T=p.length,F=1;F<T;++F){var q=p[F];if(h(q,p[F-1])){if(F===P){P++;continue}p[P++]=q}}return p.length=P,p}a.unique=x;function b(p,P){for(var T=0,F=p.length-1,q=-1;T<=F;){var V=T+F>>1,H=h(p[V],P);H<=0?(H===0&&(q=V),T=V+1):H>0&&(F=V-1)}return q}a.findCell=b;function g(p,P){for(var T=new Array(p.length),F=0,q=T.length;F<q;++F)T[F]=[];for(var V=[],F=0,H=P.length;F<H;++F)for(var X=P[F],G=X.length,N=1,W=1<<G;N<W;++N){V.length=s.popCount(N);for(var re=0,ae=0;ae<G;++ae)N&1<<ae&&(V[re++]=X[ae]);var _e=b(p,V);if(!(_e<0))for(;T[_e++].push(F),!(_e>=p.length||h(p[_e],V)!==0););}return 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b(A,L,_,C,M,p,P,T){this.center=s(_),this.up=s(C),this.right=s(M),this.radius=s([p]),this.angle=s([P,T]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(A,L),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var F=0;F<16;++F)this.computedMatrix[F]=.5;this.recalcMatrix(0)}var g=b.prototype;g.setDistanceLimits=function(A,L){A>0?A=Math.log(A):A=-1/0,L>0?L=Math.log(L):L=1/0,L=Math.max(L,A),this.radius.bounds[0][0]=A,this.radius.bounds[1][0]=L},g.getDistanceLimits=function(A){var L=this.radius.bounds[0];return A?(A[0]=Math.exp(L[0][0]),A[1]=Math.exp(L[1][0]),A):[Math.exp(L[0][0]),Math.exp(L[1][0])]},g.recalcMatrix=function(A){this.center.curve(A),this.up.curve(A),this.right.curve(A),this.radius.curve(A),this.angle.curve(A);for(var L=this.computedUp,_=this.computedRight,C=0,M=0,p=0;p<3;++p)M+=L[p]*_[p],C+=L[p]*L[p];for(var P=Math.sqrt(C),T=0,p=0;p<3;++p)_[p]-=L[p]*M/C,T+=_[p]*_[p],L[p]/=P;for(var F=Math.sqrt(T),p=0;p<3;++p)_[p]/=F;var q=this.computedToward;c(q,L,_),f(q,q);for(var V=Math.exp(this.computedRadius[0]),H=this.computedAngle[0],X=this.computedAngle[1],G=Math.cos(H),N=Math.sin(H),W=Math.cos(X),re=Math.sin(X),ae=this.computedCenter,_e=G*W,Me=N*W,ke=re,ge=-G*re,ie=-N*re,Te=W,Ee=this.computedEye,Ae=this.computedMatrix,p=0;p<3;++p){var ze=_e*_[p]+Me*q[p]+ke*L[p];Ae[4*p+1]=ge*_[p]+ie*q[p]+Te*L[p],Ae[4*p+2]=ze,Ae[4*p+3]=0}var Ce=Ae[1],me=Ae[5],Re=Ae[9],ce=Ae[2],Ge=Ae[6],nt=Ae[10],ct=me*nt-Re*Ge,qt=Re*ce-Ce*nt,rt=Ce*Ge-me*ce,ot=d(ct,qt,rt);ct/=ot,qt/=ot,rt/=ot,Ae[0]=ct,Ae[4]=qt,Ae[8]=rt;for(var p=0;p<3;++p)Ee[p]=ae[p]+Ae[2+4*p]*V;for(var p=0;p<3;++p){for(var T=0,Rt=0;Rt<3;++Rt)T+=Ae[p+4*Rt]*Ee[Rt];Ae[12+p]=-T}Ae[15]=1},g.getMatrix=function(A,L){this.recalcMatrix(A);var _=this.computedMatrix;if(L){for(var C=0;C<16;++C)L[C]=_[C];return L}return _};var E=[0,0,0];g.rotate=function(A,L,_,C){if(this.angle.move(A,L,_),C){this.recalcMatrix(A);var M=this.computedMatrix;E[0]=M[2],E[1]=M[6],E[2]=M[10];for(var p=this.computedUp,P=this.computedRight,T=this.computedToward,F=0;F<3;++F)M[4*F]=p[F],M[4*F+1]=P[F],M[4*F+2]=T[F];u(M,M,C,E);for(var F=0;F<3;++F)p[F]=M[4*F],P[F]=M[4*F+1];this.up.set(A,p[0],p[1],p[2]),this.right.set(A,P[0],P[1],P[2])}},g.pan=function(A,L,_,C){L=L||0,_=_||0,C=C||0,this.recalcMatrix(A);var M=this.computedMatrix,p=Math.exp(this.computedRadius[0]),P=M[1],T=M[5],F=M[9],q=d(P,T,F);P/=q,T/=q,F/=q;var V=M[0],H=M[4],X=M[8],G=V*P+H*T+X*F;V-=P*G,H-=T*G,X-=F*G;var N=d(V,H,X);V/=N,H/=N,X/=N;var W=V*L+P*_,re=H*L+T*_,ae=X*L+F*_;this.center.move(A,W,re,ae);var _e=Math.exp(this.computedRadius[0]);_e=Math.max(1e-4,_e+C),this.radius.set(A,Math.log(_e))},g.translate=function(A,L,_,C){this.center.move(A,L||0,_||0,C||0)},g.setMatrix=function(A,L,_,C){var M=1;typeof _==\"number\"&&(M=_|0),(M<0||M>3)&&(M=1);var p=(M+2)%3,P=(M+1)%3;L||(this.recalcMatrix(A),L=this.computedMatrix);var T=L[M],F=L[M+4],q=L[M+8];if(C){var H=Math.abs(T),X=Math.abs(F),G=Math.abs(q),N=Math.max(H,X,G);H===N?(T=T<0?-1:1,F=q=0):G===N?(q=q<0?-1:1,T=F=0):(F=F<0?-1:1,T=q=0)}else{var V=d(T,F,q);T/=V,F/=V,q/=V}var W=L[p],re=L[p+4],ae=L[p+8],_e=W*T+re*F+ae*q;W-=T*_e,re-=F*_e,ae-=q*_e;var Me=d(W,re,ae);W/=Me,re/=Me,ae/=Me;var ke=F*ae-q*re,ge=q*W-T*ae,ie=T*re-F*W,Te=d(ke,ge,ie);ke/=Te,ge/=Te,ie/=Te,this.center.jump(A,er,Ke,xt),this.radius.idle(A),this.up.jump(A,T,F,q),this.right.jump(A,W,re,ae);var Ee,Ae;if(M===2){var ze=L[1],Ce=L[5],me=L[9],Re=ze*W+Ce*re+me*ae,ce=ze*ke+Ce*ge+me*ie;qt<0?Ee=-Math.PI/2:Ee=Math.PI/2,Ae=Math.atan2(ce,Re)}else{var Ge=L[2],nt=L[6],ct=L[10],qt=Ge*T+nt*F+ct*q,rt=Ge*W+nt*re+ct*ae,ot=Ge*ke+nt*ge+ct*ie;Ee=Math.asin(v(qt)),Ae=Math.atan2(ot,rt)}this.angle.jump(A,Ae,Ee),this.recalcMatrix(A);var Rt=L[2],kt=L[6],Ct=L[10],Yt=this.computedMatrix;l(Yt,L);var xr=Yt[15],er=Yt[12]/xr,Ke=Yt[13]/xr,xt=Yt[14]/xr,bt=Math.exp(this.computedRadius[0]);this.center.jump(A,er-Rt*bt,Ke-kt*bt,xt-Ct*bt)},g.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},g.idle=function(A){this.center.idle(A),this.up.idle(A),this.right.idle(A),this.radius.idle(A),this.angle.idle(A)},g.flush=function(A){this.center.flush(A),this.up.flush(A),this.right.flush(A),this.radius.flush(A),this.angle.flush(A)},g.setDistance=function(A,L){L>0&&this.radius.set(A,Math.log(L))},g.lookAt=function(A,L,_,C){this.recalcMatrix(A),L=L||this.computedEye,_=_||this.computedCenter,C=C||this.computedUp;var M=C[0],p=C[1],P=C[2],T=d(M,p,P);if(!(T<1e-6)){M/=T,p/=T,P/=T;var F=L[0]-_[0],q=L[1]-_[1],V=L[2]-_[2],H=d(F,q,V);if(!(H<1e-6)){F/=H,q/=H,V/=H;var X=this.computedRight,G=X[0],N=X[1],W=X[2],re=M*G+p*N+P*W;G-=re*M,N-=re*p,W-=re*P;var ae=d(G,N,W);if(!(ae<.01&&(G=p*V-P*q,N=P*F-M*V,W=M*q-p*F,ae=d(G,N,W),ae<1e-6))){G/=ae,N/=ae,W/=ae,this.up.set(A,M,p,P),this.right.set(A,G,N,W),this.center.set(A,_[0],_[1],_[2]),this.radius.set(A,Math.log(H));var _e=p*W-P*N,Me=P*G-M*W,ke=M*N-p*G,ge=d(_e,Me,ke);_e/=ge,Me/=ge,ke/=ge;var ie=M*F+p*q+P*V,Te=G*F+N*q+W*V,Ee=_e*F+Me*q+ke*V,Ae=Math.asin(v(ie)),ze=Math.atan2(Ee,Te),Ce=this.angle._state,me=Ce[Ce.length-1],Re=Ce[Ce.length-2];me=me%(2*Math.PI);var ce=Math.abs(me+2*Math.PI-ze),Ge=Math.abs(me-ze),nt=Math.abs(me-2*Math.PI-ze);ce<Ge&&(me+=2*Math.PI),nt<Ge&&(me-=2*Math.PI),this.angle.jump(this.angle.lastT(),me,Re),this.angle.set(A,ze,Ae)}}}};function k(A){A=A||{};var L=A.center||[0,0,0],_=A.up||[0,1,0],C=A.right||x(_),M=A.radius||1,p=A.theta||0,P=A.phi||0;if(L=[].slice.call(L,0,3),_=[].slice.call(_,0,3),f(_,_),C=[].slice.call(C,0,3),f(C,C),\"eye\"in A){var T=A.eye,F=[T[0]-L[0],T[1]-L[1],T[2]-L[2]];c(C,F,_),d(C[0],C[1],C[2])<1e-6?C=x(_):f(C,C),M=d(F[0],F[1],F[2]);var q=h(_,F)/M,V=h(C,F)/M;P=Math.acos(q),p=Math.acos(V)}return M=Math.log(M),new b(A.zoomMin,A.zoomMax,L,_,C,M,p,P)}},5250:function(i){\"use strict\";i.exports=o;var a=+(Math.pow(2,27)+1);function o(s,l,u){var c=s*l,f=a*s,h=f-s,d=f-h,v=s-d,x=a*l,b=x-l,g=x-b,E=l-g,k=c-d*g,A=k-v*g,L=A-d*E,_=v*E-L;return u?(u[0]=_,u[1]=c,u):[_,c]}},9362:function(i){\"use strict\";i.exports=a;function a(o,s,l){var u=o+s,c=u-o,f=u-c,h=s-c,d=o-f;return l?(l[0]=d+h,l[1]=u,l):[d+h,u]}},1888:function(i,a,o){\"use strict\";var s=o(8828),l=o(1338),u=o(4793).hp;o.g.__TYPEDARRAY_POOL||(o.g.__TYPEDARRAY_POOL={UINT8:l([32,0]),UINT16:l([32,0]),UINT32:l([32,0]),BIGUINT64:l([32,0]),INT8:l([32,0]),INT16:l([32,0]),INT32:l([32,0]),BIGINT64:l([32,0]),FLOAT:l([32,0]),DOUBLE:l([32,0]),DATA:l([32,0]),UINT8C:l([32,0]),BUFFER:l([32,0])});var c=typeof Uint8ClampedArray!=\"undefined\",f=typeof BigUint64Array!=\"undefined\",h=typeof 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t==\"string\")&&(t=nLt(t),t[0]/=255,t[1]/=255,t[2]/=255),oLt(t)?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:255,a&&(i[0]/=255,i[1]/=255,i[2]/=255,i[3]/=255),i):(a?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:1):(i[0]=GD(Math.floor(t[0]*255),0,255),i[1]=GD(Math.floor(t[1]*255),0,255),i[2]=GD(Math.floor(t[2]*255),0,255),i[3]=t[3]==null?255:GD(Math.floor(t[3]*255),0,255)),i)};function oLt(e){return!!(e instanceof Uint8Array||e instanceof Uint8ClampedArray||Array.isArray(e)&&(e[0]>1||e[0]===0)&&(e[1]>1||e[1]===0)&&(e[2]>1||e[2]===0)&&(!e[3]||e[3]>1))}});var Jy=ye((rvr,xLe)=>{\"use strict\";var sLt=J_();function lLt(e){return e?sLt(e):[0,0,0,1]}xLe.exports=lLt});var $y=ye((ivr,ELe)=>{\"use strict\";var SLe=uo(),uLt=id(),jD=J_(),WD=Mu(),cLt=dh().defaultLine,bLe=vv().isArrayOrTypedArray,iZ=jD(cLt),MLe=1;function wLe(e,t){var r=e;return r[3]*=t,r}function TLe(e){if(SLe(e))return iZ;var t=jD(e);return t.length?t:iZ}function ALe(e){return SLe(e)?e:MLe}function fLt(e,t,r){var n=e.color;n&&n._inputArray&&(n=n._inputArray);var i=bLe(n),a=bLe(t),o=WD.extractOpts(e),s=[],l,u,c,f,h;if(o.colorscale!==void 0?l=WD.makeColorScaleFuncFromTrace(e):l=TLe,i?u=function(v,x){return v[x]===void 0?iZ:jD(l(v[x]))}:u=TLe,a?c=function(v,x){return v[x]===void 0?MLe:ALe(v[x])}:c=ALe,i||a)for(var d=0;d<r;d++)f=u(n,d),h=c(t,d),s[d]=wLe(f,h);else s=wLe(jD(n),t);return s}function hLt(e){var t=WD.extractOpts(e),r=t.colorscale;return t.reversescale&&(r=WD.flipScale(t.colorscale)),r.map(function(n){var i=n[0],a=uLt(n[1]),o=a.toRgb();return{index:i,rgb:[o.r,o.g,o.b,o.a]}})}ELe.exports={formatColor:fLt,parseColorScale:hLt}});var nZ=ye((nvr,kLe)=>{\"use strict\";kLe.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}});var ZD=ye((avr,CLe)=>{\"use 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fZ=HLe.exports=qLt({x:e1.x,y:e1.y,z:{valType:\"data_array\"},text:Yg({},e1.text,{}),texttemplate:DLt({},{}),hovertext:Yg({},e1.hovertext,{}),hovertemplate:RLt(),xhoverformat:uZ(\"x\"),yhoverformat:uZ(\"y\"),zhoverformat:uZ(\"z\"),mode:Yg({},e1.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:cZ(\"x\"),y:cZ(\"y\"),z:cZ(\"z\")},connectgaps:e1.connectgaps,line:NLt,marker:Yg({symbol:{valType:\"enumerated\",values:VLe(FLt),dflt:\"circle\",arrayOk:!0},size:Yg({},N2.size,{dflt:8}),sizeref:N2.sizeref,sizemin:N2.sizemin,sizemode:N2.sizemode,opacity:Yg({},N2.opacity,{arrayOk:!1}),colorbar:N2.colorbar,line:Yg({width:Yg({},BLt.width,{arrayOk:!1})},hZ(\"marker.line\"))},hZ(\"marker\")),textposition:Yg({},e1.textposition,{dflt:\"top 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s=(r.line||{}).color,l=(r.marker||{}).color;a(\"surfaceaxis\")>=0&&a(\"surfacecolor\",s||l);for(var u=[\"x\",\"y\",\"z\"],c=0;c<3;++c){var f=\"projection.\"+u[c];a(f+\".show\")&&(a(f+\".opacity\"),a(f+\".scale\"))}var h=GLe.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,s||l||n,{axis:\"z\"}),h(t,r,s||l||n,{axis:\"y\",inherit:\"z\"}),h(t,r,s||l||n,{axis:\"x\",inherit:\"z\"})};function WLt(e,t,r,n){var i=0,a=r(\"x\"),o=r(\"y\"),s=r(\"z\"),l=GLe.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return l(e,t,[\"x\",\"y\",\"z\"],n),a&&o&&s&&(i=Math.min(a.length,o.length,s.length),t._length=t._xlength=t._ylength=t._zlength=i),i}});var XLe=ye((cvr,ZLe)=>{\"use strict\";var ZLt=km(),XLt=z0();ZLe.exports=function(t,r){var n=[{x:!1,y:!1,trace:r,t:{}}];return ZLt(n,r),XLt(t,r),n}});var KLe=ye((fvr,YLe)=>{YLe.exports=YLt;function YLt(e,t){if(typeof e!=\"string\")throw new TypeError(\"must specify type string\");if(t=t||{},typeof document==\"undefined\"&&!t.canvas)return null;var r=t.canvas||document.createElement(\"canvas\");typeof t.width==\"number\"&&(r.width=t.width),typeof t.height==\"number\"&&(r.height=t.height);var n=t,i;try{var a=[e];e.indexOf(\"webgl\")===0&&a.push(\"experimental-\"+e);for(var o=0;o<a.length;o++)if(i=r.getContext(a[o],n),i)return i}catch(s){i=null}return i||null}});var $Le=ye((hvr,JLe)=>{var KLt=KLe();JLe.exports=function(t){return KLt(\"webgl\",t)}});var pZ=ye((dvr,ePe)=>{\"use strict\";var QLe=va(),JLt=function(){};ePe.exports=function(t){for(var r in t)typeof t[r]==\"function\"&&(t[r]=JLt);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var n=document.createElement(\"div\");n.className=\"no-webgl\",n.style.cursor=\"pointer\",n.style.fontSize=\"24px\",n.style.color=QLe.defaults[0],n.style.position=\"absolute\",n.style.left=n.style.top=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"background-color\"]=QLe.lightLine,n.style[\"z-index\"]=30;var i=document.createElement(\"p\");return i.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more info\",i.style.position=\"relative\",i.style.top=\"50%\",i.style.left=\"50%\",i.style.height=\"30%\",i.style.width=\"50%\",i.style.margin=\"-15% 0 0 -25%\",n.appendChild(i),t.container.appendChild(n),t.container.style.background=\"#FFFFFF\",t.container.onclick=function(){window.open(\"https://get.webgl.org\")},!1}});var iPe=ye((vvr,rPe)=>{\"use strict\";var U2=Jy(),$Lt=Mr(),QLt=[\"xaxis\",\"yaxis\",\"zaxis\"];function tPe(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open 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ePt=tPe.prototype;ePt.merge=function(e,t){for(var r=this,n=0;n<3;++n){var i=t[QLt[n]];if(!i.visible){r.tickEnable[n]=!1,r.labelEnable[n]=!1,r.lineEnable[n]=!1,r.lineTickEnable[n]=!1,r.gridEnable[n]=!1,r.zeroEnable[n]=!1,r.backgroundEnable[n]=!1;continue}r.labels[n]=e._meta?$Lt.templateString(i.title.text,e._meta):i.title.text,\"font\"in i.title&&(i.title.font.color&&(r.labelColor[n]=U2(i.title.font.color)),i.title.font.family&&(r.labelFont[n]=i.title.font.family),i.title.font.size&&(r.labelSize[n]=i.title.font.size),i.title.font.weight&&(r.labelFontWeight[n]=i.title.font.weight),i.title.font.style&&(r.labelFontStyle[n]=i.title.font.style),i.title.font.variant&&(r.labelFontVariant[n]=i.title.font.variant)),\"showline\"in i&&(r.lineEnable[n]=i.showline),\"linecolor\"in i&&(r.lineColor[n]=U2(i.linecolor)),\"linewidth\"in i&&(r.lineWidth[n]=i.linewidth),\"showgrid\"in i&&(r.gridEnable[n]=i.showgrid),\"gridcolor\"in i&&(r.gridColor[n]=U2(i.gridcolor)),\"gridwidth\"in i&&(r.gridWidth[n]=i.gridwidth),i.type===\"log\"?r.zeroEnable[n]=!1:\"zeroline\"in i&&(r.zeroEnable[n]=i.zeroline),\"zerolinecolor\"in i&&(r.zeroLineColor[n]=U2(i.zerolinecolor)),\"zerolinewidth\"in i&&(r.zeroLineWidth[n]=i.zerolinewidth),\"ticks\"in i&&i.ticks?r.lineTickEnable[n]=!0:r.lineTickEnable[n]=!1,\"ticklen\"in i&&(r.lineTickLength[n]=r._defaultLineTickLength[n]=i.ticklen),\"tickcolor\"in i&&(r.lineTickColor[n]=U2(i.tickcolor)),\"tickwidth\"in i&&(r.lineTickWidth[n]=i.tickwidth),\"tickangle\"in i&&(r.tickAngle[n]=i.tickangle===\"auto\"?-3600:Math.PI*-i.tickangle/180),\"showticklabels\"in i&&(r.tickEnable[n]=i.showticklabels),\"tickfont\"in i&&(i.tickfont.color&&(r.tickColor[n]=U2(i.tickfont.color)),i.tickfont.family&&(r.tickFont[n]=i.tickfont.family),i.tickfont.size&&(r.tickSize[n]=i.tickfont.size),i.tickfont.weight&&(r.tickFontWeight[n]=i.tickfont.weight),i.tickfont.style&&(r.tickFontStyle[n]=i.tickfont.style),i.tickfont.variant&&(r.tickFontVariant[n]=i.tickfont.variant)),\"mirror\"in i?[\"ticks\",\"all\",\"allticks\"].indexOf(i.mirror)!==-1?(r.lineTickMirror[n]=!0,r.lineMirror[n]=!0):i.mirror===!0?(r.lineTickMirror[n]=!1,r.lineMirror[n]=!0):(r.lineTickMirror[n]=!1,r.lineMirror[n]=!1):r.lineMirror[n]=!1,\"showbackground\"in i&&i.showbackground!==!1?(r.backgroundEnable[n]=!0,r.backgroundColor[n]=U2(i.backgroundcolor)):r.backgroundEnable[n]=!1}};function tPt(e,t){var r=new tPe;return r.merge(e,t),r}rPe.exports=tPt});var oPe=ye((pvr,aPe)=>{\"use strict\";var rPt=Jy(),iPt=[\"xaxis\",\"yaxis\",\"zaxis\"];function nPe(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}var nPt=nPe.prototype;nPt.merge=function(e){for(var t=0;t<3;++t){var r=e[iPt[t]];if(!r.visible){this.enabled[t]=!1,this.drawSides[t]=!1;continue}this.enabled[t]=r.showspikes,this.colors[t]=rPt(r.spikecolor),this.drawSides[t]=r.spikesides,this.lineWidth[t]=r.spikethickness}};function aPt(e){var t=new nPe;return t.merge(e),t}aPe.exports=aPt});var uPe=ye((gvr,lPe)=>{\"use strict\";lPe.exports=cPt;var sPe=Qa(),oPt=Mr(),sPt=[\"xaxis\",\"yaxis\",\"zaxis\"],lPt=[0,0,0];function uPt(e){for(var t=new Array(3),r=0;r<3;++r){for(var n=e[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;t[r]=i}return t}function cPt(e){for(var t=e.axesOptions,r=e.glplot.axesPixels,n=e.fullSceneLayout,i=[[],[],[]],a=0;a<3;++a){var o=n[sPt[a]];if(o._length=(r[a].hi-r[a].lo)*r[a].pixelsPerDataUnit/e.dataScale[a],Math.abs(o._length)===1/0||isNaN(o._length))i[a]=[];else{o._input_range=o.range.slice(),o.range[0]=r[a].lo/e.dataScale[a],o.range[1]=r[a].hi/e.dataScale[a],o._m=1/(e.dataScale[a]*r[a].pixelsPerDataUnit),o.range[0]===o.range[1]&&(o.range[0]-=1,o.range[1]+=1);var s=o.tickmode;if(o.tickmode===\"auto\"){o.tickmode=\"linear\";var l=o.nticks||oPt.constrain(o._length/40,4,9);sPe.autoTicks(o,Math.abs(o.range[1]-o.range[0])/l)}for(var u=sPe.calcTicks(o,{msUTC:!0}),c=0;c<u.length;++c)u[c].x=u[c].x*e.dataScale[a],o.type===\"date\"&&(u[c].text=u[c].text.replace(/\\<br\\>/g,\" \"));i[a]=u,o.tickmode=s}}t.ticks=i;for(var a=0;a<3;++a){lPt[a]=.5*(e.glplot.bounds[0][a]+e.glplot.bounds[1][a]);for(var c=0;c<2;++c)t.bounds[c][a]=e.glplot.bounds[c][a]}e.contourLevels=uPt(i)}});var gPe=ye((mvr,pPe)=>{\"use strict\";var hPe=Rd().gl_plot3d,fPt=hPe.createCamera,cPe=hPe.createScene,hPt=$Le(),dPt=EL(),JD=ba(),up=Mr(),KD=up.preserveDrawingBuffer(),$D=Qa(),Kg=Nc(),vPt=Jy(),pPt=pZ(),gPt=DU(),mPt=iPe(),yPt=oPe(),_Pt=uPe(),xPt=wg().applyAutorangeOptions,VE,YD,dPe=!1;function vPe(e,t){var r=document.createElement(\"div\"),n=e.container;this.graphDiv=e.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=e.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=t,this.id=e.id||\"scene\",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=mPt(t,t[this.id]),this.spikeOptions=yPt(t[this.id]),this.container=r,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=JD.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=JD.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var wv=vPe.prototype;wv.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:KD,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!YD&&(VE=document.createElement(\"canvas\"),YD=hPt({canvas:VE,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!YD))throw new Error(\"error creating static canvas/context for image server\");t.gl=YD,t.canvas=VE}return t};var fPe=!0;wv.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),r=!0;try{e.glplot=cPe(t)}catch(n){if(e.staticMode||!fPe||KD)r=!1;else{up.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{KD=t.glOptions.preserveDrawingBuffer=!0,e.glplot=cPe(t)}catch(i){KD=t.glOptions.preserveDrawingBuffer=!1,r=!1}}}return fPe=!1,r};wv.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,r=t.projection.type===\"orthographic\";e.camera=fPt(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})};wv.initializeGLPlot=function(){var e=this;e.initializeGLCamera();var t=e.tryCreatePlot();if(!t)return pPt(e);e.traces={},e.make4thDimension();var r=e.graphDiv,n=r.layout,i=function(){var o={};return e.isCameraChanged(n)&&(o[e.id+\".camera\"]=e.getCamera()),e.isAspectChanged(n)&&(o[e.id+\".aspectratio\"]=e.glplot.getAspectratio(),n[e.id].aspectmode!==\"manual\"&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=o[e.id+\".aspectmode\"]=\"manual\")),o},a=function(o){if(o.fullSceneLayout.dragmode!==!1){var s=i();o.saveLayout(n),o.graphDiv.emit(\"plotly_relayout\",s)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener(\"mouseup\",function(){a(e)}),e.glplot.canvas.addEventListener(\"touchstart\",function(){dPe=!0}),e.glplot.canvas.addEventListener(\"wheel\",function(o){if(r._context._scrollZoom.gl3d){if(e.camera._ortho){var s=o.deltaX>o.deltaY?1.1:.9090909090909091,l=e.glplot.getAspectratio();e.glplot.setAspectratio({x:s*l.x,y:s*l.y,z:s*l.z})}a(e)}},dPt?{passive:!1}:!1),e.glplot.canvas.addEventListener(\"mousemove\",function(){if(e.fullSceneLayout.dragmode!==!1&&e.camera.mouseListener.buttons!==0){var o=i();e.graphDiv.emit(\"plotly_relayouting\",o)}}),e.staticMode||e.glplot.canvas.addEventListener(\"webglcontextlost\",function(o){r&&r.emit&&r.emit(\"plotly_webglcontextlost\",{event:o,layer:e.id})},!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0};wv.render=function(){var e=this,t=e.graphDiv,r,n=e.svgContainer,i=e.container.getBoundingClientRect();t._fullLayout._calcInverseTransform(t);var a=t._fullLayout._invScaleX,o=t._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_Pt(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,f=e.glplot.selection,h=0;h<u.length;++h)r=e.traces[u[h]],r.data.hoverinfo!==\"skip\"&&r.handlePick(f)&&(c=r),r.setContourLevels&&r.setContourLevels();function d(P,T,F){var q=e.fullSceneLayout[P+\"axis\"];return q.type!==\"log\"&&(T=q.d2l(T)),$D.hoverLabelText(q,T,F)}if(c!==null){var v=gPt(e.glplot.cameraParams,f.dataCoordinate);r=c.data;var x=t._fullData[r.index],b=f.index,g={xLabel:d(\"x\",f.traceCoordinate[0],r.xhoverformat),yLabel:d(\"y\",f.traceCoordinate[1],r.yhoverformat),zLabel:d(\"z\",f.traceCoordinate[2],r.zhoverformat)},E=Kg.castHoverinfo(x,e.fullLayout,b),k=(E||\"\").split(\"+\"),A=E&&E===\"all\";!x.hovertemplate&&!A&&(k.indexOf(\"x\")===-1&&(g.xLabel=void 0),k.indexOf(\"y\")===-1&&(g.yLabel=void 0),k.indexOf(\"z\")===-1&&(g.zLabel=void 0),k.indexOf(\"text\")===-1&&(f.textLabel=void 0),k.indexOf(\"name\")===-1&&(c.name=void 0));var L,_=[];r.type===\"cone\"||r.type===\"streamtube\"?(g.uLabel=d(\"x\",f.traceCoordinate[3],r.uhoverformat),(A||k.indexOf(\"u\")!==-1)&&_.push(\"u: \"+g.uLabel),g.vLabel=d(\"y\",f.traceCoordinate[4],r.vhoverformat),(A||k.indexOf(\"v\")!==-1)&&_.push(\"v: \"+g.vLabel),g.wLabel=d(\"z\",f.traceCoordinate[5],r.whoverformat),(A||k.indexOf(\"w\")!==-1)&&_.push(\"w: \"+g.wLabel),g.normLabel=f.traceCoordinate[6].toPrecision(3),(A||k.indexOf(\"norm\")!==-1)&&_.push(\"norm: \"+g.normLabel),r.type===\"streamtube\"&&(g.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(A||k.indexOf(\"divergence\")!==-1)&&_.push(\"divergence: \"+g.divergenceLabel)),f.textLabel&&_.push(f.textLabel),L=_.join(\"<br>\")):r.type===\"isosurface\"||r.type===\"volume\"?(g.valueLabel=$D.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),r.valuehoverformat),_.push(\"value: \"+g.valueLabel),f.textLabel&&_.push(f.textLabel),L=_.join(\"<br>\")):L=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:x._input,fullData:x,curveNumber:x.index,pointNumber:b};Kg.appendArrayPointValue(C,x,b),r._module.eventData&&(C=x._module.eventData(C,f,x,{},b));var M={points:[C]};if(e.fullSceneLayout.hovermode){var p=[];Kg.loneHover({trace:x,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:g.xLabel,yLabel:g.yLabel,zLabel:g.zLabel,text:L,name:c.name,color:Kg.castHoverOption(x,b,\"bgcolor\")||c.color,borderColor:Kg.castHoverOption(x,b,\"bordercolor\"),fontFamily:Kg.castHoverOption(x,b,\"font.family\"),fontSize:Kg.castHoverOption(x,b,\"font.size\"),fontColor:Kg.castHoverOption(x,b,\"font.color\"),nameLength:Kg.castHoverOption(x,b,\"namelength\"),textAlign:Kg.castHoverOption(x,b,\"align\"),hovertemplate:up.castOption(x,b,\"hovertemplate\"),hovertemplateLabels:up.extendFlat({},C,g),eventData:[C]},{container:n,gd:t,inOut_bbox:p}),C.bbox=p[0]}f.distance<5&&(f.buttons||dPe)?t.emit(\"plotly_click\",M):t.emit(\"plotly_hover\",M),this.oldEventData=M}else Kg.loneUnhover(n),this.oldEventData&&t.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)};wv.recoverContext=function(){var e=this;e.glplot.dispose();var t=function(){if(e.glplot.gl.isContextLost()){requestAnimationFrame(t);return}if(!e.initializeGLPlot()){up.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");return}e.plot.apply(e,e.plotArgs)};requestAnimationFrame(t)};var HE=[\"xaxis\",\"yaxis\",\"zaxis\"];function bPt(e,t,r){for(var n=e.fullSceneLayout,i=0;i<3;i++){var a=HE[i],o=a.charAt(0),s=n[a],l=t[o],u=t[o+\"calendar\"],c=t[\"_\"+o+\"length\"];if(!up.isArrayOrTypedArray(l))r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1);else for(var f,h=0;h<(c||l.length);h++)if(up.isArrayOrTypedArray(l[h]))for(var d=0;d<l[h].length;++d)f=s.d2l(l[h][d],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[h],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f))}}function wPt(e,t){for(var r=e.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=HE[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(t[0][i]=Math.min(t[0][i],c),t[1][i]=Math.max(t[1][i],c))}}}wv.plot=function(e,t,r){var n=this;if(n.plotArgs=[e,t,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=t[n.id],f=r[n.id];n.fullLayout=t,n.fullSceneLayout=c,n.axesOptions.merge(t,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(vPt(c.bgcolor)),n.setConvert(l),e?Array.isArray(e)||(e=[e]):e=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&bPt(this,i,h);wPt(this,h);var d=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?d[s]=1:d[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=d,n.convertAnnotations(this),o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&(a=n.traces[i.uid],a?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var v=Object.keys(n.traces);e:for(o=0;o<v.length;++o){for(s=0;s<e.length;++s)if(e[s].uid===v[o]&&e[s].visible===!0&&e[s]._length!==0)continue 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T=x[1][o]-x[0][o];x[0][o]-=T/32,x[1][o]+=T/32}if(E=[x[0][o],x[1][o]],E=xPt(E,l),x[0][o]=E[0],x[1][o]=E[1],l.isReversed()){var F=x[0][o];x[0][o]=x[1][o],x[1][o]=F}}else E=l.range,x[0][o]=l.r2l(E[0]),x[1][o]=l.r2l(E[1]);x[0][o]===x[1][o]&&(x[0][o]-=1,x[1][o]+=1),b[o]=x[1][o]-x[0][o],l.range=[x[0][o],x[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*d[o],max:l.range[1]*d[o]})}var q,V=c.aspectmode;if(V===\"cube\")q=[1,1,1];else if(V===\"manual\"){var H=c.aspectratio;q=[H.x,H.y,H.z]}else if(V===\"auto\"||V===\"data\"){var X=[1,1,1];for(o=0;o<3;++o){l=c[HE[o]],u=l.type;var G=g[u];X[o]=Math.pow(G.acc,1/G.count)/d[o]}V===\"data\"||Math.max.apply(null,X)/Math.min.apply(null,X)<=4?q=X:q=[1,1,1]}else throw new Error(\"scene.js aspectRatio was not one of the enumerated 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APt(e){return{up:{x:e.up[0],y:e.up[1],z:e.up[2]},center:{x:e.center[0],y:e.center[1],z:e.center[2]},eye:{x:e.eye[0],y:e.eye[1],z:e.eye[2]},projection:{type:e._ortho===!0?\"orthographic\":\"perspective\"}}}wv.getCamera=function(){var e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),APt(e.camera)};wv.setViewport=function(e){var t=this,r=e.camera;t.camera.lookAt.apply(this,TPt(r)),t.glplot.setAspectratio(e.aspectratio);var n=r.projection.type===\"orthographic\",i=t.camera._ortho;n!==i&&(t.glplot.redraw(),t.glplot.clearRGBA(),t.glplot.dispose(),t.initializeGLPlot())};wv.isCameraChanged=function(e){var t=this,r=t.getCamera(),n=up.nestedProperty(e,t.id+\".camera\"),i=n.get();function a(u,c,f,h){var d=[\"up\",\"center\",\"eye\"],v=[\"x\",\"y\",\"z\"];return c[d[f]]&&u[d[f]][v[h]]===c[d[f]][v[h]]}var o=!1;if(i===void 0)o=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!a(r,i,s,l)){o=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(o=!0)}return o};wv.isAspectChanged=function(e){var t=this,r=t.glplot.getAspectratio(),n=up.nestedProperty(e,t.id+\".aspectratio\"),i=n.get();return i===void 0||i.x!==r.x||i.y!==r.y||i.z!==r.z};wv.saveLayout=function(e){var t=this,r=t.fullLayout,n,i,a,o,s,l,u=t.isCameraChanged(e),c=t.isAspectChanged(e),f=u||c;if(f){var h={};if(u&&(n=t.getCamera(),i=up.nestedProperty(e,t.id+\".camera\"),a=i.get(),h[t.id+\".camera\"]=a),c&&(o=t.glplot.getAspectratio(),s=up.nestedProperty(e,t.id+\".aspectratio\"),l=s.get(),h[t.id+\".aspectratio\"]=l),JD.call(\"_storeDirectGUIEdit\",e,r._preGUI,h),u){i.set(n);var d=up.nestedProperty(r,t.id+\".camera\");d.set(n)}if(c){s.set(o);var v=up.nestedProperty(r,t.id+\".aspectratio\");v.set(o),t.glplot.redraw()}}return f};wv.updateFx=function(e,t){var r=this,n=r.camera;if(n)if(e===\"orbit\")n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(e===\"turntable\"){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var c=r.id+\".camera.up\",f={x:0,y:0,z:1},h={};h[c]=f;var d=i.layout;JD.call(\"_storeDirectGUIEdit\",d,a._preGUI,h),o.up=f,up.nestedProperty(d,c).set(f)}}else n.keyBindingMode=e;r.fullSceneLayout.hovermode=t};function SPt(e,t,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<t;++a)for(var o=0;o<4;++o){var s=4*(t*n+a)+o,l=4*(t*i+a)+o,u=e[s];e[s]=e[l],e[l]=u}}function MPt(e,t,r){for(var n=0;n<r;++n)for(var i=0;i<t;++i){var a=4*(t*n+i),o=e[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}wv.toImage=function(e){var t=this;e||(e=\"png\"),t.staticMode&&t.container.appendChild(VE),t.glplot.redraw();var r=t.glplot.gl,n=r.drawingBufferWidth,i=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);r.readPixels(0,0,n,i,r.RGBA,r.UNSIGNED_BYTE,a),SPt(a,n,i),MPt(a,n,i);var o=document.createElement(\"canvas\");o.width=n,o.height=i;var s=o.getContext(\"2d\",{willReadFrequently:!0}),l=s.createImageData(n,i);l.data.set(a),s.putImageData(l,0,0);var u;switch(e){case\"jpeg\":u=o.toDataURL(\"image/jpeg\");break;case\"webp\":u=o.toDataURL(\"image/webp\");break;default:u=o.toDataURL(\"image/png\")}return t.staticMode&&t.container.removeChild(VE),u};wv.setConvert=function(){for(var e=this,t=0;t<3;t++){var r=e.fullSceneLayout[HE[t]];$D.setConvert(r,e.fullLayout),r.setScale=up.noop}};wv.make4thDimension=function(){var e=this,t=e.graphDiv,r=t._fullLayout;e._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},$D.setConvert(e._mockAxis,r)};pPe.exports=vPe});var yPe=ye((yvr,mPe)=>{\"use strict\";mPe.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}});var mZ=ye((_vr,_Pe)=>{\"use strict\";var EPt=va(),cs=Cd(),gZ=no().extendFlat,kPt=Bu().overrideAll;_Pe.exports=kPt({visible:cs.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:EPt.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:cs.color,categoryorder:cs.categoryorder,categoryarray:cs.categoryarray,title:{text:cs.title.text,font:cs.title.font},type:gZ({},cs.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:cs.autotypenumbers,autorange:cs.autorange,autorangeoptions:{minallowed:cs.autorangeoptions.minallowed,maxallowed:cs.autorangeoptions.maxallowed,clipmin:cs.autorangeoptions.clipmin,clipmax:cs.autorangeoptions.clipmax,include:cs.autorangeoptions.include,editType:\"plot\"},rangemode:cs.rangemode,minallowed:cs.minallowed,maxallowed:cs.maxallowed,range:gZ({},cs.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:cs.minor.tickmode,nticks:cs.nticks,tick0:cs.tick0,dtick:cs.dtick,tickvals:cs.tickvals,ticktext:cs.ticktext,ticks:cs.ticks,mirror:cs.mirror,ticklen:cs.ticklen,tickwidth:cs.tickwidth,tickcolor:cs.tickcolor,showticklabels:cs.showticklabels,labelalias:cs.labelalias,tickfont:cs.tickfont,tickangle:cs.tickangle,tickprefix:cs.tickprefix,showtickprefix:cs.showtickprefix,ticksuffix:cs.ticksuffix,showticksuffix:cs.showticksuffix,showexponent:cs.showexponent,exponentformat:cs.exponentformat,minexponent:cs.minexponent,separatethousands:cs.separatethousands,tickformat:cs.tickformat,tickformatstops:cs.tickformatstops,hoverformat:cs.hoverformat,showline:cs.showline,linecolor:cs.linecolor,linewidth:cs.linewidth,showgrid:cs.showgrid,gridcolor:gZ({},cs.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:cs.gridwidth,zeroline:cs.zeroline,zerolinecolor:cs.zerolinecolor,zerolinewidth:cs.zerolinewidth},\"plot\",\"from-root\")});var bZ=ye((xvr,xPe)=>{\"use strict\";var yZ=mZ(),CPt=Ju().attributes,_Z=no().extendFlat,LPt=Mr().counterRegex;function xZ(e,t,r){return{x:{valType:\"number\",dflt:e,editType:\"camera\"},y:{valType:\"number\",dflt:t,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}xPe.exports={_arrayAttrRegexps:[LPt(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:_Z(xZ(0,0,1),{}),center:_Z(xZ(0,0,0),{}),eye:_Z(xZ(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:CPt({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:yZ,yaxis:yZ,zaxis:yZ,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\"}});var APe=ye((bvr,TPe)=>{\"use strict\";var PPt=id().mix,bPe=Mr(),IPt=Vs(),RPt=mZ(),DPt=yU(),zPt=JM(),wPe=[\"xaxis\",\"yaxis\",\"zaxis\"],FPt=100*136/187;TPe.exports=function(t,r,n){var i,a;function o(u,c){return bPe.coerce(i,a,RPt,u,c)}for(var s=0;s<wPe.length;s++){var l=wPe[s];i=t[l]||{},a=IPt.newContainer(r,l),a._id=l[0]+n.scene,a._name=l,DPt(i,a,o,n),zPt(i,a,o,{font:n.font,letter:l[0],data:n.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),o(\"gridcolor\",PPt(a.color,n.bgColor,FPt).toRgbString()),o(\"title.text\",l[0]),a.setScale=bPe.noop,o(\"showspikes\")&&(o(\"spikesides\"),o(\"spikethickness\"),o(\"spikecolor\",a.color)),o(\"showaxeslabels\"),o(\"showbackground\")&&o(\"backgroundcolor\")}}});var kPe=ye((wvr,EPe)=>{\"use strict\";var qPt=Mr(),OPt=va(),BPt=ba(),NPt=k_(),UPt=APe(),SPe=bZ(),VPt=kd().getSubplotData,MPe=\"gl3d\";EPe.exports=function(t,r,n){var i=r._basePlotModules.length>1;function a(o){if(!i){var s=qPt.validate(t[o],SPe[o]);if(s)return t[o]}}NPt(t,r,n,{type:MPe,attributes:SPe,handleDefaults:HPt,fullLayout:r,font:r.font,fullData:n,getDfltFromLayout:a,autotypenumbersDflt:r.autotypenumbers,paper_bgcolor:r.paper_bgcolor,calendar:r.calendar})};function HPt(e,t,r,n){for(var i=r(\"bgcolor\"),a=OPt.combine(i,n.paper_bgcolor),o=[\"up\",\"center\",\"eye\"],s=0;s<o.length;s++)r(\"camera.\"+o[s]+\".x\"),r(\"camera.\"+o[s]+\".y\"),r(\"camera.\"+o[s]+\".z\");r(\"camera.projection.type\");var l=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),u=l?\"manual\":\"auto\",c=r(\"aspectmode\",u);l||(e.aspectratio=t.aspectratio={x:1,y:1,z:1},c===\"manual\"&&(t.aspectmode=\"auto\"),e.aspectmode=t.aspectmode);var f=VPt(n.fullData,MPe,n.id);UPt(e,t,{font:n.font,scene:n.id,data:f,bgColor:a,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),BPt.getComponentMethod(\"annotations3d\",\"handleDefaults\")(e,t,n);var h=n.getDfltFromLayout(\"dragmode\");if(h!==!1&&!h)if(h=\"orbit\",e.camera&&e.camera.up){var d=e.camera.up.x,v=e.camera.up.y,x=e.camera.up.z;x!==0&&(!d||!v||!x||x/Math.sqrt(d*d+v*v+x*x)>.999)&&(h=\"turntable\")}else h=\"turntable\";r(\"dragmode\",h),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}});var $_=ye(cp=>{\"use strict\";var GPt=Bu().overrideAll,jPt=B1(),WPt=gPe(),ZPt=kd().getSubplotData,XPt=Mr(),YPt=Zp(),B5=\"gl3d\",wZ=\"scene\";cp.name=B5;cp.attr=wZ;cp.idRoot=wZ;cp.idRegex=cp.attrRegex=XPt.counterRegex(\"scene\");cp.attributes=yPe();cp.layoutAttributes=bZ();cp.baseLayoutAttrOverrides=GPt({hoverlabel:jPt.hoverlabel},\"plot\",\"nested\");cp.supplyLayoutDefaults=kPe();cp.plot=function(t){for(var r=t._fullLayout,n=t._fullData,i=r._subplots[B5],a=0;a<i.length;a++){var o=i[a],s=ZPt(n,B5,o),l=r[o],u=l.camera,c=l._scene;c||(c=new WPt({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},r),l._scene=c),c.viewInitial||(c.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),c.plot(s,r,t.layout)}};cp.clean=function(e,t,r,n){for(var i=n._subplots[B5]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}};cp.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[B5],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._scene,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:YPt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}};cp.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var r=t.substr(5);return r===\"1\"&&(r=\"\"),wZ+r}};cp.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[B5],n=0;n<r.length;n++){var i=t[r[n]]._scene;i.updateFx(t.dragmode,t.hovermode)}}});var LPe=ye((Avr,CPe)=>{\"use strict\";CPe.exports={plot:NLe(),attributes:dZ(),markerSymbols:ZD(),supplyDefaults:WLe(),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:XLe(),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:$_(),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var IPe=ye((Svr,PPe)=>{\"use strict\";PPe.exports=LPe()});var GE=ye((Mvr,zPe)=>{\"use strict\";var RPe=va(),KPt=Kl(),TZ=Oc().axisHoverFormat,JPt=Wo().hovertemplateAttrs,DPe=vl(),AZ=no().extendFlat,$Pt=Bu().overrideAll;function SZ(e){return{valType:\"boolean\",dflt:!1}}function MZ(e){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:SZ(\"x\"),y:SZ(\"y\"),z:SZ(\"z\")},color:{valType:\"color\",dflt:RPe.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:RPe.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var EZ=zPe.exports=$Pt(AZ({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:JPt(),xhoverformat:TZ(\"x\"),yhoverformat:TZ(\"y\"),zhoverformat:TZ(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},KPt(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:MZ(\"x\"),y:MZ(\"y\"),z:MZ(\"z\")},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},hoverinfo:AZ({},DPe.hoverinfo),showlegend:AZ({},DPe.showlegend,{dflt:!1})}),\"calc\",\"nested\");EZ.x.editType=EZ.y.editType=EZ.z.editType=\"calc+clearAxisTypes\"});var CZ=ye((Evr,OPe)=>{\"use strict\";var QPt=ba(),FPe=Mr(),eIt=Uh(),tIt=GE(),kZ=.1;function rIt(e,t){for(var r=[],n=32,i=0;i<n;i++){var a=i/(n-1),o=t+(1-t)*(1-Math.pow(Math.sin(e*a*Math.PI),2));r.push([a,Math.max(0,Math.min(1,o))])}return r}function iIt(e){var t=0;if(!Array.isArray(e)||e.length<2||!e[0]||!e[e.length-1]||+e[0][0]!=0||+e[e.length-1][0]!=1)return!1;for(var r=0;r<e.length;r++){var n=e[r];if(n.length!==2||+n[0]<t)return!1;t=+n[0]}return!0}function nIt(e,t,r,n){var i,a;function o(b,g){return FPe.coerce(e,t,tIt,b,g)}var s=o(\"x\"),l=o(\"y\"),u=o(\"z\");if(!u||!u.length||s&&s.length<1||l&&l.length<1){t.visible=!1;return}t._xlength=Array.isArray(s)&&FPe.isArrayOrTypedArray(s[0])?u.length:u[0].length,t._ylength=u.length;var c=QPt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");c(e,t,[\"x\",\"y\",\"z\"],n),o(\"text\"),o(\"hovertext\"),o(\"hovertemplate\"),o(\"xhoverformat\"),o(\"yhoverformat\"),o(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(b){o(b)});var f=o(\"surfacecolor\"),h=[\"x\",\"y\",\"z\"];for(i=0;i<3;++i){var d=\"contours.\"+h[i],v=o(d+\".show\"),x=o(d+\".highlight\");if(v||x)for(a=0;a<3;++a)o(d+\".project.\"+h[a]);v&&(o(d+\".color\"),o(d+\".width\"),o(d+\".usecolormap\")),x&&(o(d+\".highlightcolor\"),o(d+\".highlightwidth\")),o(d+\".start\"),o(d+\".end\"),o(d+\".size\")}eIt(e,t,n,o,{prefix:\"\",cLetter:\"c\"}),qPe(e,t,n,o),t._length=null}function qPe(e,t,r,n){var i=n(\"opacityscale\");i===\"max\"?t.opacityscale=[[0,kZ],[1,1]]:i===\"min\"?t.opacityscale=[[0,1],[1,kZ]]:i===\"extremes\"?t.opacityscale=rIt(1,kZ):iIt(i)||(t.opacityscale=void 0)}OPe.exports={supplyDefaults:nIt,opacityscaleDefaults:qPe}});var UPe=ye((kvr,NPe)=>{\"use strict\";var BPe=zv();NPe.exports=function(t,r){r.surfacecolor?BPe(t,r,{vals:r.surfacecolor,containerStr:\"\",cLetter:\"c\"}):BPe(t,r,{vals:r.z,containerStr:\"\",cLetter:\"c\"})}});var ZPe=ye((Cvr,WPe)=>{\"use strict\";var aIt=Rd().gl_surface3d,N5=Rd().ndarray,oIt=Rd().ndarray_linear_interpolate.d2,sIt=QI(),lIt=e8(),jE=Mr().isArrayOrTypedArray,uIt=$y().parseColorScale,VPe=Jy(),cIt=Mu().extractOpts;function GPe(e,t,r){this.scene=e,this.uid=r,this.surface=t,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var Jg=GPe.prototype;Jg.getXat=function(e,t,r,n){var i=jE(this.data.x)?jE(this.data.x[0])?this.data.x[t][e]:this.data.x[e]:e;return r===void 0?i:n.d2l(i,0,r)};Jg.getYat=function(e,t,r,n){var i=jE(this.data.y)?jE(this.data.y[0])?this.data.y[t][e]:this.data.y[t]:t;return r===void 0?i:n.d2l(i,0,r)};Jg.getZat=function(e,t,r,n){var i=this.data.z[t][e];return i===null&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[t][e]),r===void 0?i:n.d2l(i,0,r)};Jg.handlePick=function(e){if(e.object===this.surface){var t=(e.data.index[0]-1)/this.dataScaleX-1,r=(e.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(t),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);e.index=[n,i],e.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],e.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=e.dataCoordinate[a];o!=null&&(e.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return jE(s)&&s[i]&&s[i][n]!==void 0?e.textLabel=s[i][n]:s?e.textLabel=s:e.textLabel=\"\",e.data.dataCoordinate=e.dataCoordinate.slice(),this.surface.highlight(e.data),this.scene.glplot.spikes.position=e.dataCoordinate,!0}};function fIt(e){var t=e[0].rgb,r=e[e.length-1].rgb;return t[0]===r[0]&&t[1]===r[1]&&t[2]===r[2]&&t[3]===r[3]}var U5=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function hIt(e,t){if(e<t)return 0;for(var r=0;Math.floor(e%t)===0;)e/=t,r++;return r}function LZ(e){for(var t=[],r=0;r<U5.length;r++){var n=U5[r];t.push(hIt(e,n))}return t}function dIt(e){for(var t=LZ(e),r=e,n=0;n<U5.length;n++)if(t[n]>0){r=U5[n];break}return r}function vIt(e,t){if(!(e<1||t<1)){for(var r=LZ(e),n=LZ(t),i=1,a=0;a<U5.length;a++)i*=Math.pow(U5[a],Math.max(r[a],n[a]));return i}}function pIt(e){if(e.length!==0){for(var t=1,r=0;r<e.length;r++)t=vIt(t,e[r]);return t}}Jg.calcXnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getXat(t-1,0),i=this.getXat(t,0);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};Jg.calcYnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getYat(0,t-1),i=this.getYat(0,t);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};var jPe=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],HPe=jPe[9],QD=jPe[13];Jg.estimateScale=function(e,t){for(var r=t===0?this.calcXnums(e):this.calcYnums(e),n=1+pIt(r);n<HPe;)n*=2;for(;n>QD;)n--,n/=dIt(n),n++,n<HPe&&(n=QD);var i=Math.round(n/e);return i>1?i:1};function gIt(e,t,r){var n=r[8]+r[2]*t[0]+r[5]*t[1];return e[0]=(r[6]+r[0]*t[0]+r[3]*t[1])/n,e[1]=(r[7]+r[1]*t[0]+r[4]*t[1])/n,e}function mIt(e,t,r){return yIt(e,t,gIt,r),e}function yIt(e,t,r,n){for(var i=[0,0],a=e.shape[0],o=e.shape[1],s=0;s<a;s++)for(var l=0;l<o;l++)r(i,[s,l],n),e.set(s,l,oIt(t,i[0],i[1]));return e}Jg.refineCoords=function(e){for(var t=this.dataScaleX,r=this.dataScaleY,n=e[0].shape[0],i=e[0].shape[1],a=Math.floor(e[0].shape[0]*t+1)|0,o=Math.floor(e[0].shape[1]*r+1)|0,s=1+n+1,l=1+i+1,u=N5(new Float32Array(s*l),[s,l]),c=[1/t,0,0,0,1/r,0,0,0,1],f=0;f<e.length;++f){this.surface.padField(u,e[f]);var h=N5(new Float32Array(a*o),[a,o]);mIt(h,u,c),e[f]=h}};function _It(e,t){for(var r=!1,n=0;n<e.length;n++)if(t===e[n]){r=!0;break}r===!1&&e.push(t)}Jg.setContourLevels=function(){var e=[[],[],[]],t=[!1,!1,!1],r=!1,n,i,a;for(n=0;n<3;++n)if(this.showContour[n]&&(r=!0,this.contourSize[n]>0&&this.contourStart[n]!==null&&this.contourEnd[n]!==null&&this.contourEnd[n]>this.contourStart[n]))for(t[n]=!0,i=this.contourStart[n];i<this.contourEnd[n];i+=this.contourSize[n])a=i*this.scene.dataScale[n],_It(e[n],a);if(r){var o=[[],[],[]];for(n=0;n<3;++n)this.showContour[n]&&(o[n]=t[n]?e[n]:this.scene.contourLevels[n]);this.surface.update({levels:o})}};Jg.update=function(e){var t=this.scene,r=t.fullSceneLayout,n=this.surface,i=uIt(e),a=t.dataScale,o=e.z[0].length,s=e._ylength,l=t.contourLevels;this.data=e;var u,c,f,h,d=[];for(u=0;u<3;u++)for(d[u]=[],c=0;c<o;c++)d[u][c]=[];for(c=0;c<o;c++)for(f=0;f<s;f++)d[0][c][f]=this.getXat(c,f,e.xcalendar,r.xaxis),d[1][c][f]=this.getYat(c,f,e.ycalendar,r.yaxis),d[2][c][f]=this.getZat(c,f,e.zcalendar,r.zaxis);if(e.connectgaps)for(e._emptypoints=lIt(d[2]),sIt(d[2],e._emptypoints),e._interpolatedZ=[],c=0;c<o;c++)for(e._interpolatedZ[c]=[],f=0;f<s;f++)e._interpolatedZ[c][f]=d[2][c][f];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h==null?d[u][c][f]=NaN:h=d[u][c][f]*=a[u];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(this.minValues[u]>h&&(this.minValues[u]=h),this.maxValues[u]<h&&(this.maxValues[u]=h));for(u=0;u<3;u++)this.objectOffset[u]=.5*(this.minValues[u]+this.maxValues[u]);for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(d[u][c][f]-=this.objectOffset[u]);var v=[N5(new Float32Array(o*s),[o,s]),N5(new Float32Array(o*s),[o,s]),N5(new Float32Array(o*s),[o,s])];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)v[u].set(c,f,d[u][c][f]);d=[];var x={colormap:i,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!e.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:e.opacityscale,opacity:e.opacity},b=cIt(e);if(x.intensityBounds=[b.min,b.max],e.surfacecolor){var g=N5(new Float32Array(o*s),[o,s]);for(c=0;c<o;c++)for(f=0;f<s;f++)g.set(c,f,e.surfacecolor[f][c]);v.push(g)}else x.intensityBounds[0]*=a[2],x.intensityBounds[1]*=a[2];(QD<v[0].shape[0]||QD<v[0].shape[1])&&(this.refineData=!1),this.refineData===!0&&(this.dataScaleX=this.estimateScale(v[0].shape[0],0),this.dataScaleY=this.estimateScale(v[0].shape[1],1),(this.dataScaleX!==1||this.dataScaleY!==1)&&this.refineCoords(v)),e.surfacecolor&&(x.intensity=v.pop());var E=[!0,!0,!0],k=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var A=e.contours[k[u]];E[u]=A.highlight,x.showContour[u]=A.show||A.highlight,x.showContour[u]&&(x.contourProject[u]=[A.project.x,A.project.y,A.project.z],A.show?(this.showContour[u]=!0,x.levels[u]=l[u],n.highlightColor[u]=x.contourColor[u]=VPe(A.color),A.usecolormap?n.highlightTint[u]=x.contourTint[u]=0:n.highlightTint[u]=x.contourTint[u]=1,x.contourWidth[u]=A.width,this.contourStart[u]=A.start,this.contourEnd[u]=A.end,this.contourSize[u]=A.size):(this.showContour[u]=!1,this.contourStart[u]=null,this.contourEnd[u]=null,this.contourSize[u]=0),A.highlight&&(x.dynamicColor[u]=VPe(A.highlightcolor),x.dynamicWidth[u]=A.highlightwidth))}fIt(i)&&(x.vertexColor=!0),x.objectOffset=this.objectOffset,x.coords=v,n.update(x),n.visible=e.visible,n.enableDynamic=E,n.enableHighlight=E,n.snapToData=!0,\"lighting\"in e&&(n.ambientLight=e.lighting.ambient,n.diffuseLight=e.lighting.diffuse,n.specularLight=e.lighting.specular,n.roughness=e.lighting.roughness,n.fresnel=e.lighting.fresnel),\"lightposition\"in e&&(n.lightPosition=[e.lightposition.x,e.lightposition.y,e.lightposition.z])};Jg.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()};function xIt(e,t){var r=e.glplot.gl,n=aIt({gl:r}),i=new GPe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}WPe.exports=xIt});var YPe=ye((Lvr,XPe)=>{\"use strict\";XPe.exports={attributes:GE(),supplyDefaults:CZ().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:UPe(),plot:ZPe(),moduleType:\"trace\",name:\"surface\",basePlotModule:$_(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}});var JPe=ye((Pvr,KPe)=>{\"use strict\";KPe.exports=YPe()});var V5=ye((Ivr,QPe)=>{\"use strict\";var bIt=Kl(),PZ=Oc().axisHoverFormat,wIt=Wo().hovertemplateAttrs,Q_=GE(),$Pe=vl(),ex=no().extendFlat;QPe.exports=ex({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:wIt({editType:\"calc\"}),xhoverformat:PZ(\"x\"),yhoverformat:PZ(\"y\"),zhoverformat:PZ(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"}},bIt(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:Q_.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:ex({},Q_.contours.x.show,{}),color:Q_.contours.x.color,width:Q_.contours.x.width,editType:\"calc\"},lightposition:{x:ex({},Q_.lightposition.x,{dflt:1e5}),y:ex({},Q_.lightposition.y,{dflt:1e5}),z:ex({},Q_.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:ex({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\"},editType:\"calc\"},Q_.lighting),hoverinfo:ex({},$Pe.hoverinfo,{editType:\"calc\"}),showlegend:ex({},$Pe.showlegend,{dflt:!1})})});var tz=ye((Rvr,tIe)=>{\"use strict\";var TIt=Kl(),ez=Oc().axisHoverFormat,AIt=Wo().hovertemplateAttrs,WE=V5(),eIe=vl(),IZ=no().extendFlat,SIt=Bu().overrideAll;function RZ(e){return{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}}function DZ(e){return{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}}var H5=tIe.exports=SIt(IZ({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:RZ(\"x\"),y:RZ(\"y\"),z:RZ(\"z\")},caps:{x:DZ(\"x\"),y:DZ(\"y\"),z:DZ(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:AIt(),xhoverformat:ez(\"x\"),yhoverformat:ez(\"y\"),zhoverformat:ez(\"z\"),valuehoverformat:ez(\"value\",1),showlegend:IZ({},eIe.showlegend,{dflt:!1})},TIt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:WE.opacity,lightposition:WE.lightposition,lighting:WE.lighting,flatshading:WE.flatshading,contour:WE.contour,hoverinfo:IZ({},eIe.hoverinfo)}),\"calc\",\"nested\");H5.flatshading.dflt=!0;H5.lighting.facenormalsepsilon.dflt=0;H5.x.editType=H5.y.editType=H5.z.editType=H5.value.editType=\"calc+clearAxisTypes\"});var zZ=ye((Dvr,iIe)=>{\"use strict\";var MIt=Mr(),EIt=ba(),kIt=tz(),CIt=Uh();function LIt(e,t,r,n){function i(a,o){return MIt.coerce(e,t,kIt,a,o)}rIe(e,t,r,n,i)}function rIe(e,t,r,n,i){var a=i(\"isomin\"),o=i(\"isomax\");o!=null&&a!==void 0&&a!==null&&a>o&&(t.isomin=null,t.isomax=null);var s=i(\"x\"),l=i(\"y\"),u=i(\"z\"),c=i(\"value\");if(!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length){t.visible=!1;return}var f=EIt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");f(e,t,[\"x\",\"y\",\"z\"],n),i(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach(function(x){i(x+\"hoverformat\");var b=\"caps.\"+x,g=i(b+\".show\");g&&i(b+\".fill\");var E=\"slices.\"+x,k=i(E+\".show\");k&&(i(E+\".fill\"),i(E+\".locations\"))});var h=i(\"spaceframe.show\");h&&i(\"spaceframe.fill\");var d=i(\"surface.show\");d&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\"));var v=i(\"contour.show\");v&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(x){i(x)}),CIt(e,t,n,i,{prefix:\"\",cLetter:\"c\"}),t._length=null}iIe.exports={supplyDefaults:LIt,supplyIsoDefaults:rIe}});var rz=ye((zvr,aIe)=>{\"use strict\";var qZ=Mr(),PIt=zv();function IIt(e,t){t._len=Math.min(t.u.length,t.v.length,t.w.length,t.x.length,t.y.length,t.z.length),t._u=Gm(t.u,t._len),t._v=Gm(t.v,t._len),t._w=Gm(t.w,t._len),t._x=Gm(t.x,t._len),t._y=Gm(t.y,t._len),t._z=Gm(t.z,t._len);var r=nIe(t);t._gridFill=r.fill,t._Xs=r.Xs,t._Ys=r.Ys,t._Zs=r.Zs,t._len=r.len;var n=0,i,a,o;t.starts&&(i=Gm(t.starts.x||[]),a=Gm(t.starts.y||[]),o=Gm(t.starts.z||[]),n=Math.min(i.length,a.length,o.length)),t._startsX=i||[],t._startsY=a||[],t._startsZ=o||[];var s=0,l=1/0,u;for(u=0;u<t._len;u++){var c=t._u[u],f=t._v[u],h=t._w[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}for(PIt(e,t,{vals:[l,s],containerStr:\"\",cLetter:\"c\"}),u=0;u<n;u++){var v=i[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var x=a[u];r.yMax=Math.max(r.yMax,x),r.yMin=Math.min(r.yMin,x);var b=o[u];r.zMax=Math.max(r.zMax,b),r.zMin=Math.min(r.zMin,b)}t._slen=n,t._normMax=s,t._xbnds=[r.xMin,r.xMax],t._ybnds=[r.yMin,r.yMax],t._zbnds=[r.zMin,r.zMax]}function nIe(e){var t=e._x,r=e._y,n=e._z,i=e._len,a,o,s,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,v=\"\",x,b,g,E,k,A,L,_,C;for(i&&(E=t[0],A=r[0],_=n[0]),i>1&&(k=t[i-1],L=r[i-1],C=n[i-1]),a=0;a<i;a++)l=Math.max(l,t[a]),u=Math.min(u,t[a]),c=Math.max(c,r[a]),f=Math.min(f,r[a]),h=Math.max(h,n[a]),d=Math.min(d,n[a]),!x&&t[a]!==E&&(x=!0,v+=\"x\"),!b&&r[a]!==A&&(b=!0,v+=\"y\"),!g&&n[a]!==_&&(g=!0,v+=\"z\");x||(v+=\"x\"),b||(v+=\"y\"),g||(v+=\"z\");var M=FZ(e._x),p=FZ(e._y),P=FZ(e._z);v=v.replace(\"x\",(E>k?\"-\":\"+\")+\"x\"),v=v.replace(\"y\",(A>L?\"-\":\"+\")+\"y\"),v=v.replace(\"z\",(_>C?\"-\":\"+\")+\"z\");var T=function(){i=0,M=[],p=[],P=[]};(!i||i<M.length*p.length*P.length)&&T();var F=function(ze){return ze===\"x\"?t:ze===\"y\"?r:n},q=function(ze){return ze===\"x\"?M:ze===\"y\"?p:P},V=function(ze){return ze[i-1]<ze[0]?-1:1},H=F(v[1]),X=F(v[3]),G=F(v[5]),N=q(v[1]).length,W=q(v[3]).length,re=q(v[5]).length,ae=!1,_e=function(ze,Ce,me){return N*(W*ze+Ce)+me},Me=V(F(v[1])),ke=V(F(v[3])),ge=V(F(v[5]));for(a=0;a<re-1;a++){for(o=0;o<W-1;o++){for(s=0;s<N-1;s++){var ie=_e(a,o,s),Te=_e(a,o,s+1),Ee=_e(a,o+1,s),Ae=_e(a+1,o,s);if((!(H[ie]*Me<H[Te]*Me)||!(X[ie]*ke<X[Ee]*ke)||!(G[ie]*ge<G[Ae]*ge))&&(ae=!0),ae)break}if(ae)break}if(ae)break}return ae&&(qZ.warn(\"Encountered arbitrary coordinates! Unable to input data grid.\"),T()),{xMin:u,yMin:f,zMin:d,xMax:l,yMax:c,zMax:h,Xs:M,Ys:p,Zs:P,len:i,fill:v}}function FZ(e){return qZ.distinctVals(e).vals}function Gm(e,t){if(t===void 0&&(t=e.length),qZ.isTypedArray(e))return e.subarray(0,t);for(var r=[],n=0;n<t;n++)r[n]=+e[n];return r}aIe.exports={calc:IIt,filter:Gm,processGrid:nIe}});var OZ=ye((Fvr,oIe)=>{\"use strict\";var RIt=zv(),DIt=rz().processGrid,iz=rz().filter;oIe.exports=function(t,r){r._len=Math.min(r.x.length,r.y.length,r.z.length,r.value.length),r._x=iz(r.x,r._len),r._y=iz(r.y,r._len),r._z=iz(r.z,r._len),r._value=iz(r.value,r._len);var n=DIt(r);r._gridFill=n.fill,r._Xs=n.Xs,r._Ys=n.Ys,r._Zs=n.Zs,r._len=n.len;for(var i=1/0,a=-1/0,o=0;o<r._len;o++){var s=r._value[o];i=Math.min(i,s),a=Math.max(a,s)}r._minValues=i,r._maxValues=a,r._vMin=r.isomin===void 0||r.isomin===null?i:r.isomin,r._vMax=r.isomax===void 0||r.isomax===null?a:r.isomax,RIt(t,r,{vals:[r._vMin,r._vMax],containerStr:\"\",cLetter:\"c\"})}});var G5=ye((qvr,sIe)=>{\"use strict\";sIe.exports=function(t,r,n,i){i=i||t.length;for(var a=new Array(i),o=0;o<i;o++)a[o]=[t[o],r[o],n[o]];return a}});var nz=ye((Ovr,fIe)=>{\"use strict\";var zIt=Rd().gl_mesh3d,FIt=$y().parseColorScale,qIt=Mr().isArrayOrTypedArray,OIt=Jy(),BIt=Mu().extractOpts,lIe=G5(),ZE=function(e,t){for(var r=t.length-1;r>0;r--){var n=Math.min(t[r],t[r-1]),i=Math.max(t[r],t[r-1]);if(i>n&&n<e&&e<=i)return{id:r,distRatio:(i-e)/(i-n)}}return{id:0,distRatio:0}};function uIe(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var BZ=uIe.prototype;BZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=ZE(r,this.data._Xs).id,l=ZE(n,this.data._Ys).id,u=ZE(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return qIt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};BZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=cIe(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=lIe(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=lIe(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:OIt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=BIt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=FIt(e),this.mesh.update(o)};BZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var NIt=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function cIe(e){e._meshI=[],e._meshJ=[],e._meshK=[];var t=e.surface.show,r=e.spaceframe.show,n=e.surface.fill,i=e.spaceframe.fill,a=!1,o=!1,s=0,l,u,c=e._Xs,f=e._Ys,h=e._Zs,d=c.length,v=f.length,x=h.length,b=NIt.indexOf(e._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),g=function(bt,Lt,St){switch(b){case 5:return St+x*Lt+x*v*bt;case 4:return St+x*bt+x*d*Lt;case 3:return Lt+v*St+v*x*bt;case 2:return Lt+v*bt+v*d*St;case 1:return bt+d*St+d*x*Lt;default:return bt+d*Lt+d*v*St}},E=e._minValues,k=e._maxValues,A=e._vMin,L=e._vMax,_,C,M,p;function P(bt,Lt,St){for(var Et=p.length,dt=u;dt<Et;dt++)if(bt===_[dt]&&Lt===C[dt]&&St===M[dt])return dt;return-1}function T(){u=l}function F(){_=[],C=[],M=[],p=[],l=0,T()}function q(bt,Lt,St,Et){return _.push(bt),C.push(Lt),M.push(St),p.push(Et),l++,l-1}function V(bt,Lt,St){return e._meshI.push(bt),e._meshJ.push(Lt),e._meshK.push(St),s++,s-1}function H(bt,Lt,St){for(var Et=[],dt=0;dt<bt.length;dt++)Et[dt]=(bt[dt]+Lt[dt]+St[dt])/3;return Et}function X(bt,Lt,St){for(var Et=[],dt=0;dt<bt.length;dt++)Et[dt]=bt[dt]*(1-St)+St*Lt[dt];return Et}var G;function N(bt){G=bt}function W(bt,Lt){var St=bt[0],Et=bt[1],dt=bt[2],Ht=H(St,Et,dt),$t=Math.sqrt(1-G),fr=X(Ht,St,$t),_r=X(Ht,Et,$t),Br=X(Ht,dt,$t),Or=Lt[0],Nr=Lt[1],ut=Lt[2];return{xyzv:[[St,Et,_r],[_r,fr,St],[Et,dt,Br],[Br,_r,Et],[dt,St,fr],[fr,Br,dt]],abc:[[Or,Nr,-1],[-1,-1,Or],[Nr,ut,-1],[-1,-1,Nr],[ut,Or,-1],[-1,-1,ut]]}}function re(bt,Lt){return bt===\"all\"||bt===null?!0:bt.indexOf(Lt)>-1}function ae(bt,Lt){return bt===null?Lt:bt}function _e(bt,Lt,St){T();var Et=[Lt],dt=[St];if(G>=1)Et=[Lt],dt=[St];else if(G>0){var Ht=W(Lt,St);Et=Ht.xyzv,dt=Ht.abc}for(var $t=0;$t<Et.length;$t++){Lt=Et[$t],St=dt[$t];for(var fr=[],_r=0;_r<3;_r++){var Br=Lt[_r][0],Or=Lt[_r][1],Nr=Lt[_r][2],ut=Lt[_r][3],Ne=St[_r]>-1?St[_r]:P(Br,Or,Nr);Ne>-1?fr[_r]=Ne:fr[_r]=q(Br,Or,Nr,ae(bt,ut))}V(fr[0],fr[1],fr[2])}}function Me(bt,Lt,St){var Et=function(dt,Ht,$t){_e(bt,[Lt[dt],Lt[Ht],Lt[$t]],[St[dt],St[Ht],St[$t]])};Et(0,1,2),Et(2,3,0)}function ke(bt,Lt,St){var Et=function(dt,Ht,$t){_e(bt,[Lt[dt],Lt[Ht],Lt[$t]],[St[dt],St[Ht],St[$t]])};Et(0,1,2),Et(3,0,1),Et(2,3,0),Et(1,2,3)}function ge(bt,Lt,St,Et){var dt=bt[3];dt<St&&(dt=St),dt>Et&&(dt=Et);for(var Ht=(bt[3]-dt)/(bt[3]-Lt[3]+1e-9),$t=[],fr=0;fr<4;fr++)$t[fr]=(1-Ht)*bt[fr]+Ht*Lt[fr];return $t}function ie(bt,Lt,St){return bt>=Lt&&bt<=St}function Te(bt){var Lt=.001*(L-A);return bt>=A-Lt&&bt<=L+Lt}function Ee(bt){for(var Lt=[],St=0;St<4;St++){var Et=bt[St];Lt.push([e._x[Et],e._y[Et],e._z[Et],e._value[Et]])}return Lt}var Ae=3;function ze(bt,Lt,St,Et,dt,Ht){Ht||(Ht=1),St=[-1,-1,-1];var $t=!1,fr=[ie(Lt[0][3],Et,dt),ie(Lt[1][3],Et,dt),ie(Lt[2][3],Et,dt)];if(!fr[0]&&!fr[1]&&!fr[2])return!1;var _r=function(Or,Nr,ut){return Te(Nr[0][3])&&Te(Nr[1][3])&&Te(Nr[2][3])?(_e(Or,Nr,ut),!0):Ht<Ae?ze(Or,Nr,ut,A,L,++Ht):!1};if(fr[0]&&fr[1]&&fr[2])return _r(bt,Lt,St)||$t;var Br=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach(function(Or){if(fr[Or[0]]&&fr[Or[1]]&&!fr[Or[2]]){var Nr=Lt[Or[0]],ut=Lt[Or[1]],Ne=Lt[Or[2]],Ye=ge(Ne,Nr,Et,dt),Ve=ge(Ne,ut,Et,dt);$t=_r(bt,[Ve,Ye,Nr],[-1,-1,St[Or[0]]])||$t,$t=_r(bt,[Nr,ut,Ve],[St[Or[0]],St[Or[1]],-1])||$t,Br=!0}}),Br||[[0,1,2],[1,2,0],[2,0,1]].forEach(function(Or){if(fr[Or[0]]&&!fr[Or[1]]&&!fr[Or[2]]){var Nr=Lt[Or[0]],ut=Lt[Or[1]],Ne=Lt[Or[2]],Ye=ge(ut,Nr,Et,dt),Ve=ge(Ne,Nr,Et,dt);$t=_r(bt,[Ve,Ye,Nr],[-1,-1,St[Or[0]]])||$t,Br=!0}}),$t}function Ce(bt,Lt,St,Et){var dt=!1,Ht=Ee(Lt),$t=[ie(Ht[0][3],St,Et),ie(Ht[1][3],St,Et),ie(Ht[2][3],St,Et),ie(Ht[3][3],St,Et)];if(!$t[0]&&!$t[1]&&!$t[2]&&!$t[3])return dt;if($t[0]&&$t[1]&&$t[2]&&$t[3])return o&&(dt=ke(bt,Ht,Lt)||dt),dt;var fr=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach(function(_r){if($t[_r[0]]&&$t[_r[1]]&&$t[_r[2]]&&!$t[_r[3]]){var Br=Ht[_r[0]],Or=Ht[_r[1]],Nr=Ht[_r[2]],ut=Ht[_r[3]];if(o)dt=_e(bt,[Br,Or,Nr],[Lt[_r[0]],Lt[_r[1]],Lt[_r[2]]])||dt;else{var Ne=ge(ut,Br,St,Et),Ye=ge(ut,Or,St,Et),Ve=ge(ut,Nr,St,Et);dt=_e(null,[Ne,Ye,Ve],[-1,-1,-1])||dt}fr=!0}}),fr||([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach(function(_r){if($t[_r[0]]&&$t[_r[1]]&&!$t[_r[2]]&&!$t[_r[3]]){var Br=Ht[_r[0]],Or=Ht[_r[1]],Nr=Ht[_r[2]],ut=Ht[_r[3]],Ne=ge(Nr,Br,St,Et),Ye=ge(Nr,Or,St,Et),Ve=ge(ut,Or,St,Et),Xe=ge(ut,Br,St,Et);o?(dt=_e(bt,[Br,Xe,Ne],[Lt[_r[0]],-1,-1])||dt,dt=_e(bt,[Or,Ye,Ve],[Lt[_r[1]],-1,-1])||dt):dt=Me(null,[Ne,Ye,Ve,Xe],[-1,-1,-1,-1])||dt,fr=!0}}),fr)||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach(function(_r){if($t[_r[0]]&&!$t[_r[1]]&&!$t[_r[2]]&&!$t[_r[3]]){var Br=Ht[_r[0]],Or=Ht[_r[1]],Nr=Ht[_r[2]],ut=Ht[_r[3]],Ne=ge(Or,Br,St,Et),Ye=ge(Nr,Br,St,Et),Ve=ge(ut,Br,St,Et);o?(dt=_e(bt,[Br,Ne,Ye],[Lt[_r[0]],-1,-1])||dt,dt=_e(bt,[Br,Ye,Ve],[Lt[_r[0]],-1,-1])||dt,dt=_e(bt,[Br,Ve,Ne],[Lt[_r[0]],-1,-1])||dt):dt=_e(null,[Ne,Ye,Ve],[-1,-1,-1])||dt,fr=!0}}),dt}function me(bt,Lt,St,Et,dt,Ht,$t,fr,_r,Br,Or){var Nr=!1;return a&&(re(bt,\"A\")&&(Nr=Ce(null,[Lt,St,Et,Ht],Br,Or)||Nr),re(bt,\"B\")&&(Nr=Ce(null,[St,Et,dt,_r],Br,Or)||Nr),re(bt,\"C\")&&(Nr=Ce(null,[St,Ht,$t,_r],Br,Or)||Nr),re(bt,\"D\")&&(Nr=Ce(null,[Et,Ht,fr,_r],Br,Or)||Nr),re(bt,\"E\")&&(Nr=Ce(null,[St,Et,Ht,_r],Br,Or)||Nr)),o&&(Nr=Ce(bt,[St,Et,Ht,_r],Br,Or)||Nr),Nr}function Re(bt,Lt,St,Et,dt,Ht,$t,fr){return[fr[0]===!0?!0:ze(bt,Ee([Lt,St,Et]),[Lt,St,Et],Ht,$t),fr[1]===!0?!0:ze(bt,Ee([Et,dt,Lt]),[Et,dt,Lt],Ht,$t)]}function ce(bt,Lt,St,Et,dt,Ht,$t,fr,_r){return fr?Re(bt,Lt,St,dt,Et,Ht,$t,_r):Re(bt,St,dt,Et,Lt,Ht,$t,_r)}function Ge(bt,Lt,St,Et,dt,Ht,$t){var fr=!1,_r,Br,Or,Nr,ut=function(){fr=ze(bt,[_r,Br,Or],[-1,-1,-1],dt,Ht)||fr,fr=ze(bt,[Or,Nr,_r],[-1,-1,-1],dt,Ht)||fr},Ne=$t[0],Ye=$t[1],Ve=$t[2];return Ne&&(_r=X(Ee([g(Lt,St-0,Et-0)])[0],Ee([g(Lt-1,St-0,Et-0)])[0],Ne),Br=X(Ee([g(Lt,St-0,Et-1)])[0],Ee([g(Lt-1,St-0,Et-1)])[0],Ne),Or=X(Ee([g(Lt,St-1,Et-1)])[0],Ee([g(Lt-1,St-1,Et-1)])[0],Ne),Nr=X(Ee([g(Lt,St-1,Et-0)])[0],Ee([g(Lt-1,St-1,Et-0)])[0],Ne),ut()),Ye&&(_r=X(Ee([g(Lt-0,St,Et-0)])[0],Ee([g(Lt-0,St-1,Et-0)])[0],Ye),Br=X(Ee([g(Lt-0,St,Et-1)])[0],Ee([g(Lt-0,St-1,Et-1)])[0],Ye),Or=X(Ee([g(Lt-1,St,Et-1)])[0],Ee([g(Lt-1,St-1,Et-1)])[0],Ye),Nr=X(Ee([g(Lt-1,St,Et-0)])[0],Ee([g(Lt-1,St-1,Et-0)])[0],Ye),ut()),Ve&&(_r=X(Ee([g(Lt-0,St-0,Et)])[0],Ee([g(Lt-0,St-0,Et-1)])[0],Ve),Br=X(Ee([g(Lt-0,St-1,Et)])[0],Ee([g(Lt-0,St-1,Et-1)])[0],Ve),Or=X(Ee([g(Lt-1,St-1,Et)])[0],Ee([g(Lt-1,St-1,Et-1)])[0],Ve),Nr=X(Ee([g(Lt-1,St-0,Et)])[0],Ee([g(Lt-1,St-0,Et-1)])[0],Ve),ut()),fr}function nt(bt,Lt,St,Et,dt,Ht,$t,fr,_r,Br,Or,Nr){var ut=bt;return Nr?(a&&bt===\"even\"&&(ut=null),me(ut,Lt,St,Et,dt,Ht,$t,fr,_r,Br,Or)):(a&&bt===\"odd\"&&(ut=null),me(ut,_r,fr,$t,Ht,dt,Et,St,Lt,Br,Or))}function ct(bt,Lt,St,Et,dt){for(var Ht=[],$t=0,fr=0;fr<Lt.length;fr++)for(var _r=Lt[fr],Br=1;Br<x;Br++)for(var Or=1;Or<v;Or++)Ht.push(ce(bt,g(_r,Or-1,Br-1),g(_r,Or-1,Br),g(_r,Or,Br-1),g(_r,Or,Br),St,Et,(_r+Or+Br)%2,dt&&dt[$t]?dt[$t]:[])),$t++;return Ht}function qt(bt,Lt,St,Et,dt){for(var Ht=[],$t=0,fr=0;fr<Lt.length;fr++)for(var _r=Lt[fr],Br=1;Br<d;Br++)for(var Or=1;Or<x;Or++)Ht.push(ce(bt,g(Br-1,_r,Or-1),g(Br,_r,Or-1),g(Br-1,_r,Or),g(Br,_r,Or),St,Et,(Br+_r+Or)%2,dt&&dt[$t]?dt[$t]:[])),$t++;return Ht}function rt(bt,Lt,St,Et,dt){for(var Ht=[],$t=0,fr=0;fr<Lt.length;fr++)for(var _r=Lt[fr],Br=1;Br<v;Br++)for(var Or=1;Or<d;Or++)Ht.push(ce(bt,g(Or-1,Br-1,_r),g(Or-1,Br,_r),g(Or,Br-1,_r),g(Or,Br,_r),St,Et,(Or+Br+_r)%2,dt&&dt[$t]?dt[$t]:[])),$t++;return Ht}function ot(bt,Lt,St){for(var Et=1;Et<x;Et++)for(var dt=1;dt<v;dt++)for(var Ht=1;Ht<d;Ht++)nt(bt,g(Ht-1,dt-1,Et-1),g(Ht-1,dt-1,Et),g(Ht-1,dt,Et-1),g(Ht-1,dt,Et),g(Ht,dt-1,Et-1),g(Ht,dt-1,Et),g(Ht,dt,Et-1),g(Ht,dt,Et),Lt,St,(Ht+dt+Et)%2)}function Rt(bt,Lt,St){o=!0,ot(bt,Lt,St),o=!1}function kt(bt,Lt,St){a=!0,ot(bt,Lt,St),a=!1}function Ct(bt,Lt,St,Et,dt,Ht){for(var $t=[],fr=0,_r=0;_r<Lt.length;_r++)for(var Br=Lt[_r],Or=1;Or<x;Or++)for(var Nr=1;Nr<v;Nr++)$t.push(Ge(bt,Br,Nr,Or,St,Et,dt[_r],Ht&&Ht[fr]?Ht[fr]:[])),fr++;return $t}function Yt(bt,Lt,St,Et,dt,Ht){for(var $t=[],fr=0,_r=0;_r<Lt.length;_r++)for(var Br=Lt[_r],Or=1;Or<d;Or++)for(var Nr=1;Nr<x;Nr++)$t.push(Ge(bt,Or,Br,Nr,St,Et,dt[_r],Ht&&Ht[fr]?Ht[fr]:[])),fr++;return $t}function xr(bt,Lt,St,Et,dt,Ht){for(var $t=[],fr=0,_r=0;_r<Lt.length;_r++)for(var Br=Lt[_r],Or=1;Or<v;Or++)for(var Nr=1;Nr<d;Nr++)$t.push(Ge(bt,Nr,Or,Br,St,Et,dt[_r],Ht&&Ht[fr]?Ht[fr]:[])),fr++;return $t}function er(bt,Lt){for(var St=[],Et=bt;Et<Lt;Et++)St.push(Et);return St}function Ke(){for(var bt=0;bt<d;bt++)for(var Lt=0;Lt<v;Lt++)for(var St=0;St<x;St++){var Et=g(bt,Lt,St);q(e._x[Et],e._y[Et],e._z[Et],e._value[Et])}}function xt(){F(),Ke();var bt=null;if(r&&i&&(N(i),Rt(bt,A,L)),t&&n){N(n);for(var Lt=e.surface.pattern,St=e.surface.count,Et=0;Et<St;Et++){var dt=St===1?.5:Et/(St-1),Ht=(1-dt)*A+dt*L,$t=Math.abs(Ht-E),fr=Math.abs(Ht-k),_r=$t>fr?[E,Ht]:[Ht,k];kt(Lt,_r[0],_r[1])}}var Br=[[Math.min(A,k),Math.max(A,k)],[Math.min(E,L),Math.max(E,L)]];[\"x\",\"y\",\"z\"].forEach(function(Or){for(var Nr=[],ut=0;ut<Br.length;ut++){var Ne=0,Ye=Br[ut][0],Ve=Br[ut][1],Xe=e.slices[Or];if(Xe.show&&Xe.fill){N(Xe.fill);var ht=[],Le=[],xe=[];if(Xe.locations.length)for(var Se=0;Se<Xe.locations.length;Se++){var lt=ZE(Xe.locations[Se],Or===\"x\"?c:Or===\"y\"?f:h);lt.distRatio===0?ht.push(lt.id):lt.id>0&&(Le.push(lt.id),Or===\"x\"?xe.push([lt.distRatio,0,0]):Or===\"y\"?xe.push([0,lt.distRatio,0]):xe.push([0,0,lt.distRatio]))}else Or===\"x\"?ht=er(1,d-1):Or===\"y\"?ht=er(1,v-1):ht=er(1,x-1);Le.length>0&&(Or===\"x\"?Nr[Ne]=Ct(bt,Le,Ye,Ve,xe,Nr[Ne]):Or===\"y\"?Nr[Ne]=Yt(bt,Le,Ye,Ve,xe,Nr[Ne]):Nr[Ne]=xr(bt,Le,Ye,Ve,xe,Nr[Ne]),Ne++),ht.length>0&&(Or===\"x\"?Nr[Ne]=ct(bt,ht,Ye,Ve,Nr[Ne]):Or===\"y\"?Nr[Ne]=qt(bt,ht,Ye,Ve,Nr[Ne]):Nr[Ne]=rt(bt,ht,Ye,Ve,Nr[Ne]),Ne++)}var Gt=e.caps[Or];Gt.show&&Gt.fill&&(N(Gt.fill),Or===\"x\"?Nr[Ne]=ct(bt,[0,d-1],Ye,Ve,Nr[Ne]):Or===\"y\"?Nr[Ne]=qt(bt,[0,v-1],Ye,Ve,Nr[Ne]):Nr[Ne]=rt(bt,[0,x-1],Ye,Ve,Nr[Ne]),Ne++)}}),s===0&&F(),e._meshX=_,e._meshY=C,e._meshZ=M,e._meshIntensity=p,e._Xs=c,e._Ys=f,e._Zs=h}return xt(),e}function UIt(e,t){var r=e.glplot.gl,n=zIt({gl:r}),i=new uIe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}fIe.exports={findNearestOnAxis:ZE,generateIsoMeshes:cIe,createIsosurfaceTrace:UIt}});var dIe=ye((Bvr,hIe)=>{\"use strict\";hIe.exports={attributes:tz(),supplyDefaults:zZ().supplyDefaults,calc:OZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:nz().createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var pIe=ye((Nvr,vIe)=>{\"use strict\";vIe.exports=dIe()});var UZ=ye((Uvr,mIe)=>{\"use strict\";var VIt=Kl(),xh=tz(),HIt=GE(),gIe=vl(),NZ=no().extendFlat,GIt=Bu().overrideAll,az=mIe.exports=GIt(NZ({x:xh.x,y:xh.y,z:xh.z,value:xh.value,isomin:xh.isomin,isomax:xh.isomax,surface:xh.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:xh.slices,caps:xh.caps,text:xh.text,hovertext:xh.hovertext,xhoverformat:xh.xhoverformat,yhoverformat:xh.yhoverformat,zhoverformat:xh.zhoverformat,valuehoverformat:xh.valuehoverformat,hovertemplate:xh.hovertemplate},VIt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:xh.colorbar,opacity:xh.opacity,opacityscale:HIt.opacityscale,lightposition:xh.lightposition,lighting:xh.lighting,flatshading:xh.flatshading,contour:xh.contour,hoverinfo:NZ({},gIe.hoverinfo),showlegend:NZ({},gIe.showlegend,{dflt:!1})}),\"calc\",\"nested\");az.x.editType=az.y.editType=az.z.editType=az.value.editType=\"calc+clearAxisTypes\"});var _Ie=ye((Vvr,yIe)=>{\"use strict\";var jIt=Mr(),WIt=UZ(),ZIt=zZ().supplyIsoDefaults,XIt=CZ().opacityscaleDefaults;yIe.exports=function(t,r,n,i){function a(o,s){return jIt.coerce(t,r,WIt,o,s)}ZIt(t,r,n,i,a),XIt(t,r,i,a)}});var TIe=ye((Hvr,wIe)=>{\"use strict\";var YIt=Rd().gl_mesh3d,KIt=$y().parseColorScale,JIt=Mr().isArrayOrTypedArray,$It=Jy(),QIt=Mu().extractOpts,xIe=G5(),VZ=nz().findNearestOnAxis,e8t=nz().generateIsoMeshes;function bIe(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var HZ=bIe.prototype;HZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=VZ(r,this.data._Xs).id,l=VZ(n,this.data._Ys).id,u=VZ(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return JIt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};HZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=e8t(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=xIe(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=xIe(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,opacityscale:e.opacityscale,contourEnable:e.contour.show,contourColor:$It(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=QIt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=KIt(e),this.mesh.update(o)};HZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function t8t(e,t){var r=e.glplot.gl,n=YIt({gl:r}),i=new bIe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}wIe.exports=t8t});var SIe=ye((Gvr,AIe)=>{\"use strict\";AIe.exports={attributes:UZ(),supplyDefaults:_Ie(),calc:OZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:TIe(),moduleType:\"trace\",name:\"volume\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var EIe=ye((jvr,MIe)=>{\"use strict\";MIe.exports=SIe()});var LIe=ye((Wvr,CIe)=>{\"use strict\";var r8t=ba(),kIe=Mr(),i8t=Uh(),n8t=V5();CIe.exports=function(t,r,n,i){function a(c,f){return kIe.coerce(t,r,n8t,c,f)}function o(c){var f=c.map(function(h){var d=a(h);return d&&kIe.isArrayOrTypedArray(d)?d:null});return f.every(function(h){return h&&h.length===f[0].length})&&f}var s=o([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(o([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var l=r8t.getComponentMethod(\"calendars\",\"handleTraceDefaults\");l(t,r,[\"x\",\"y\",\"z\"],i),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach(function(c){a(c)});var u=a(\"contour.show\");u&&(a(\"contour.color\"),a(\"contour.width\")),\"intensity\"in t?(a(\"intensity\"),a(\"intensitymode\"),i8t(t,r,i,a,{prefix:\"\",cLetter:\"c\"})):(r.showscale=!1,\"facecolor\"in t?a(\"facecolor\"):\"vertexcolor\"in t?a(\"vertexcolor\"):a(\"color\",n)),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),r._length=null}});var IIe=ye((Zvr,PIe)=>{\"use strict\";var a8t=zv();PIe.exports=function(t,r){r.intensity&&a8t(t,r,{vals:r.intensity,containerStr:\"\",cLetter:\"c\"})}});var qIe=ye((Xvr,FIe)=>{\"use strict\";var o8t=Rd().gl_mesh3d,s8t=Rd().delaunay_triangulate,l8t=Rd().alpha_shape,u8t=Rd().convex_hull,c8t=$y().parseColorScale,f8t=Mr().isArrayOrTypedArray,ZZ=Jy(),h8t=Mu().extractOpts,RIe=G5();function zIe(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var XZ=zIe.prototype;XZ.handlePick=function(e){if(e.object===this.mesh){var t=e.index=e.data.index;e.data._cellCenter?e.traceCoordinate=e.data.dataCoordinate:e.traceCoordinate=[this.data.x[t],this.data.y[t],this.data.z[t]];var r=this.data.hovertext||this.data.text;return f8t(r)&&r[t]!==void 0?e.textLabel=r[t]:r&&(e.textLabel=r),!0}};function DIe(e){for(var t=[],r=e.length,n=0;n<r;n++)t[n]=ZZ(e[n]);return t}function GZ(e,t,r,n){for(var i=[],a=t.length,o=0;o<a;o++)i[o]=e.d2l(t[o],0,n)*r;return i}function jZ(e){for(var t=[],r=e.length,n=0;n<r;n++)t[n]=Math.round(e[n]);return t}function d8t(e,t){for(var r=[\"x\",\"y\",\"z\"].indexOf(e),n=[],i=t.length,a=0;a<i;a++)n[a]=[t[a][(r+1)%3],t[a][(r+2)%3]];return s8t(n)}function WZ(e,t){for(var r=e.length,n=0;n<r;n++)if(e[n]<=-.5||e[n]>=t-.5)return!1;return!0}XZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=e;var n=e.x.length,i=RIe(GZ(r.xaxis,e.x,t.dataScale[0],e.xcalendar),GZ(r.yaxis,e.y,t.dataScale[1],e.ycalendar),GZ(r.zaxis,e.z,t.dataScale[2],e.zcalendar)),a;if(e.i&&e.j&&e.k){if(e.i.length!==e.j.length||e.j.length!==e.k.length||!WZ(e.i,n)||!WZ(e.j,n)||!WZ(e.k,n))return;a=RIe(jZ(e.i),jZ(e.j),jZ(e.k))}else e.alphahull===0?a=u8t(i):e.alphahull>0?a=l8t(e.alphahull,i):a=d8t(e.delaunayaxis,i);var o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:ZZ(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading};if(e.intensity){var s=h8t(e);this.color=\"#fff\";var l=e.intensitymode;o[l+\"Intensity\"]=e.intensity,o[l+\"IntensityBounds\"]=[s.min,s.max],o.colormap=c8t(e)}else e.vertexcolor?(this.color=e.vertexcolor[0],o.vertexColors=DIe(e.vertexcolor)):e.facecolor?(this.color=e.facecolor[0],o.cellColors=DIe(e.facecolor)):(this.color=e.color,o.meshColor=ZZ(e.color));this.mesh.update(o)};XZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function v8t(e,t){var r=e.glplot.gl,n=o8t({gl:r}),i=new 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p8t=Kl(),j5=Oc().axisHoverFormat,g8t=Wo().hovertemplateAttrs,m8t=V5(),VIe=vl(),YZ=no().extendFlat,oz={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:g8t({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:j5(\"u\",1),vhoverformat:j5(\"v\",1),whoverformat:j5(\"w\",1),xhoverformat:j5(\"x\"),yhoverformat:j5(\"y\"),zhoverformat:j5(\"z\"),showlegend:YZ({},VIe.showlegend,{dflt:!1})};YZ(oz,p8t(\"\",{colorAttr:\"u/v/w 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T8t=Rd().gl_cone3d,A8t=Rd().gl_cone3d.createConeMesh,S8t=Mr().simpleMap,M8t=$y().parseColorScale,E8t=Mu().extractOpts,k8t=Mr().isArrayOrTypedArray,XIe=G5();function YIe(e,t){this.scene=e,this.uid=t,this.mesh=null,this.data=null}var JZ=YIe.prototype;JZ.handlePick=function(e){if(e.object===this.mesh){var t=e.index=e.data.index,r=this.data.x[t],n=this.data.y[t],i=this.data.z[t],a=this.data.u[t],o=this.data.v[t],s=this.data.w[t];e.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return k8t(l)&&l[t]!==void 0?e.textLabel=l[t]:l&&(e.textLabel=l),!0}};var C8t={xaxis:0,yaxis:1,zaxis:2},L8t={tip:1,tail:0,cm:.25,center:.5},P8t={tip:1,tail:1,cm:.75,center:.5};function KIe(e,t){var r=e.fullSceneLayout,n=e.dataScale,i={};function a(c,f){var h=r[f],d=n[C8t[f]];return S8t(c,function(v){return h.d2l(v)*d})}i.vectors=XIe(a(t.u,\"xaxis\"),a(t.v,\"yaxis\"),a(t.w,\"zaxis\"),t._len),i.positions=XIe(a(t.x,\"xaxis\"),a(t.y,\"yaxis\"),a(t.z,\"zaxis\"),t._len);var o=E8t(t);i.colormap=M8t(t),i.vertexIntensityBounds=[o.min/t._normMax,o.max/t._normMax],i.coneOffset=L8t[t.anchor];var s=t.sizemode;s===\"scaled\"?i.coneSize=t.sizeref||.5:s===\"absolute\"?i.coneSize=t.sizeref&&t._normMax?t.sizeref/t._normMax:.5:s===\"raw\"&&(i.coneSize=t.sizeref),i.coneSizemode=s;var l=T8t(i),u=t.lightposition;return l.lightPosition=[u.x,u.y,u.z],l.ambient=t.lighting.ambient,l.diffuse=t.lighting.diffuse,l.specular=t.lighting.specular,l.roughness=t.lighting.roughness,l.fresnel=t.lighting.fresnel,l.opacity=t.opacity,t._pad=P8t[t.anchor]*l.vectorScale*l.coneScale*t._normMax,l}JZ.update=function(e){this.data=e;var t=KIe(this.scene,e);this.mesh.update(t)};JZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function I8t(e,t){var r=e.glplot.gl,n=KIe(e,t),i=A8t(r,n),a=new YIe(e,t.uid);return a.mesh=i,a.data=t,i._trace=a,e.glplot.add(i),a}JIe.exports=I8t});var e8e=ye((tpr,QIe)=>{\"use 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R8t=Kl(),W5=Oc().axisHoverFormat,D8t=Wo().hovertemplateAttrs,z8t=V5(),i8e=vl(),$Z=no().extendFlat,sz={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:D8t({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:W5(\"u\",1),vhoverformat:W5(\"v\",1),whoverformat:W5(\"w\",1),xhoverformat:W5(\"x\"),yhoverformat:W5(\"y\"),zhoverformat:W5(\"z\"),showlegend:$Z({},i8e.showlegend,{dflt:!1})};$Z(sz,R8t(\"\",{colorAttr:\"u/v/w 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o=a(\"u\"),s=a(\"v\"),l=a(\"w\"),u=a(\"x\"),c=a(\"y\"),f=a(\"z\");if(!o||!o.length||!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length||!f||!f.length){r.visible=!1;return}a(\"starts.x\"),a(\"starts.y\"),a(\"starts.z\"),a(\"maxdisplayed\"),a(\"sizeref\"),a(\"lighting.ambient\"),a(\"lighting.diffuse\"),a(\"lighting.specular\"),a(\"lighting.roughness\"),a(\"lighting.fresnel\"),a(\"lightposition.x\"),a(\"lightposition.y\"),a(\"lightposition.z\"),O8t(t,r,i,a,{prefix:\"\",cLetter:\"c\"}),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"uhoverformat\"),a(\"vhoverformat\"),a(\"whoverformat\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),r._length=null}});var v8e=ye((apr,d8e)=>{\"use strict\";var u8e=Rd().gl_streamtube3d,N8t=u8e.createTubeMesh,U8t=Mr(),V8t=$y().parseColorScale,H8t=Mu().extractOpts,s8e=G5(),c8e={xaxis:0,yaxis:1,zaxis:2};function f8e(e,t){this.scene=e,this.uid=t,this.mesh=null,this.data=null}var tX=f8e.prototype;tX.handlePick=function(e){var t=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(o,s){var l=t[s],u=r[c8e[s]];return l.l2c(o)/u}if(e.object===this.mesh){var i=e.data.position,a=e.data.velocity;return e.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),e.data.intensity*this.data._normMax,e.data.divergence],e.textLabel=this.data.hovertext||this.data.text,!0}};function l8e(e){var t=e.length,r;return t>2?r=e.slice(1,t-1):t===2?r=[(e[0]+e[1])/2]:r=e,r}function eX(e){var t=e.length;return t===1?[.5,.5]:[e[1]-e[0],e[t-1]-e[t-2]]}function h8e(e,t){var r=e.fullSceneLayout,n=e.dataScale,i=t._len,a={};function o(F,q){var V=r[q],H=n[c8e[q]];return U8t.simpleMap(F,function(X){return V.d2l(X)*H})}if(a.vectors=s8e(o(t._u,\"xaxis\"),o(t._v,\"yaxis\"),o(t._w,\"zaxis\"),i),!i)return{positions:[],cells:[]};var s=o(t._Xs,\"xaxis\"),l=o(t._Ys,\"yaxis\"),u=o(t._Zs,\"zaxis\");a.meshgrid=[s,l,u],a.gridFill=t._gridFill;var c=t._slen;if(c)a.startingPositions=s8e(o(t._startsX,\"xaxis\"),o(t._startsY,\"yaxis\"),o(t._startsZ,\"zaxis\"));else{for(var f=l[0],h=l8e(s),d=l8e(u),v=new Array(h.length*d.length),x=0,b=0;b<h.length;b++)for(var g=0;g<d.length;g++)v[x++]=[h[b],f,d[g]];a.startingPositions=v}a.colormap=V8t(t),a.tubeSize=t.sizeref,a.maxLength=t.maxdisplayed;var E=o(t._xbnds,\"xaxis\"),k=o(t._ybnds,\"yaxis\"),A=o(t._zbnds,\"zaxis\"),L=eX(s),_=eX(l),C=eX(u),M=[[E[0]-L[0],k[0]-_[0],A[0]-C[0]],[E[1]+L[1],k[1]+_[1],A[1]+C[1]]],p=u8e(a,M),P=H8t(t);p.vertexIntensityBounds=[P.min/t._normMax,P.max/t._normMax];var T=t.lightposition;return p.lightPosition=[T.x,T.y,T.z],p.ambient=t.lighting.ambient,p.diffuse=t.lighting.diffuse,p.specular=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel,p.opacity=t.opacity,t._pad=p.tubeScale*t.sizeref*2,p}tX.update=function(e){this.data=e;var t=h8e(this.scene,e);this.mesh.update(t)};tX.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function G8t(e,t){var r=e.glplot.gl,n=h8e(e,t),i=N8t(r,n),a=new f8e(e,t.uid);return a.mesh=i,a.data=t,i._trace=a,e.glplot.add(i),a}d8e.exports=G8t});var g8e=ye((opr,p8e)=>{\"use strict\";p8e.exports={moduleType:\"trace\",name:\"streamtube\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],attributes:QZ(),supplyDefaults:o8e(),colorbar:{min:\"cmin\",max:\"cmax\"},calc:rz().calc,plot:v8e(),eventData:function(e,t){return e.tubex=e.x,e.tubey=e.y,e.tubez=e.z,e.tubeu=t.traceCoordinate[3],e.tubev=t.traceCoordinate[4],e.tubew=t.traceCoordinate[5],e.norm=t.traceCoordinate[6],e.divergence=t.traceCoordinate[7],delete e.x,delete e.y,delete e.z,e},meta:{}}});var y8e=ye((spr,m8e)=>{\"use strict\";m8e.exports=g8e()});var H2=ye((lpr,b8e)=>{\"use strict\";var 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fi=Bt(Ur),xi=la(),Fi=Bt(xi),Xi=!1,hn,Ti,qi,Ii={point:mi,lineStart:Ma,lineEnd:Ta,polygonStart:function(){Ii.point=Ea,Ii.lineStart=qa,Ii.lineEnd=Cn,Ti=[],hn=[]},polygonEnd:function(){Ii.point=mi,Ii.lineStart=Ma,Ii.lineEnd=Ta,Ti=t.merge(Ti);var sn=oo(hn,vr);Ti.length?(Xi||(Ur.polygonStart(),Xi=!0),jo(Ti,br,sn,wr,Ur)):sn&&(Xi||(Ur.polygonStart(),Xi=!0),Ur.lineStart(),wr(null,null,1,Ur),Ur.lineEnd()),Xi&&(Ur.polygonEnd(),Xi=!1),Ti=hn=null},sphere:function(){Ur.polygonStart(),Ur.lineStart(),wr(null,null,1,Ur),Ur.lineEnd(),Ur.polygonEnd()}};function mi(sn,Ua){gt(sn,Ua)&&Ur.point(sn,Ua)}function Pn(sn,Ua){fi.point(sn,Ua)}function Ma(){Ii.point=Pn,fi.lineStart()}function Ta(){Ii.point=mi,fi.lineEnd()}function Ea(sn,Ua){qi.push([sn,Ua]),Fi.point(sn,Ua)}function qa(){Fi.lineStart(),qi=[]}function Cn(){Ea(qi[0][0],qi[0][1]),Fi.lineEnd();var sn=Fi.clean(),Ua=xi.result(),mo,Xo=Ua.length,Ts,Qo,ys;if(qi.pop(),hn.push(qi),qi=null,!!Xo){if(sn&1){if(Qo=Ua[0],(Ts=Qo.length-1)>0){for(Xi||(Ur.polygonStart(),Xi=!0),Ur.lineStart(),mo=0;mo<Ts;++mo)Ur.point((ys=Qo[mo])[0],ys[1]);Ur.lineEnd()}return}Xo>1&&sn&2&&Ua.push(Ua.pop().concat(Ua.shift())),Ti.push(Ua.filter(_t))}}return Ii}}function _t(gt){return gt.length>1}function br(gt,Bt){return((gt=gt.x)[0]<0?gt[1]-u-o:u-gt[1])-((Bt=Bt.x)[0]<0?Bt[1]-u-o:u-Bt[1])}var Hr=xn(function(){return!0},ti,Yi,[-l,-u]);function ti(gt){var Bt=NaN,wr=NaN,vr=NaN,Ur;return{lineStart:function(){gt.lineStart(),Ur=1},point:function(fi,xi){var Fi=fi>0?l:-l,Xi=v(fi-Bt);v(Xi-l)<o?(gt.point(Bt,wr=(wr+xi)/2>0?u:-u),gt.point(vr,wr),gt.lineEnd(),gt.lineStart(),gt.point(Fi,wr),gt.point(fi,wr),Ur=0):vr!==Fi&&Xi>=l&&(v(Bt-vr)<o&&(Bt-=vr*o),v(fi-Fi)<o&&(fi-=Fi*o),wr=zi(Bt,wr,fi,xi),gt.point(vr,wr),gt.lineEnd(),gt.lineStart(),gt.point(Fi,wr),Ur=0),gt.point(Bt=fi,wr=xi),vr=Fi},lineEnd:function(){gt.lineEnd(),Bt=wr=NaN},clean:function(){return 2-Ur}}}function zi(gt,Bt,wr,vr){var Ur,fi,xi=_(gt-wr);return v(xi)>o?x((_(Bt)*(fi=g(vr))*_(wr)-_(vr)*(Ur=g(Bt))*_(gt))/(Ur*fi*xi)):(Bt+vr)/2}function Yi(gt,Bt,wr,vr){var Ur;if(gt==null)Ur=wr*u,vr.point(-l,Ur),vr.point(0,Ur),vr.point(l,Ur),vr.point(l,0),vr.point(l,-Ur),vr.point(0,-Ur),vr.point(-l,-Ur),vr.point(-l,0),vr.point(-l,Ur);else if(v(gt[0]-Bt[0])>o){var fi=gt[0]<Bt[0]?l:-l;Ur=wr*fi/2,vr.point(-fi,Ur),vr.point(0,Ur),vr.point(fi,Ur)}else vr.point(Bt[0],Bt[1])}function an(gt){var Bt=g(gt),wr=6*d,vr=Bt>0,Ur=v(Bt)>o;function fi(Ti,qi,Ii,mi){Ki(mi,gt,wr,Ii,Ti,qi)}function xi(Ti,qi){return g(Ti)*g(qi)>Bt}function Fi(Ti){var qi,Ii,mi,Pn,Ma;return{lineStart:function(){Pn=mi=!1,Ma=1},point:function(Ta,Ea){var qa=[Ta,Ea],Cn,sn=xi(Ta,Ea),Ua=vr?sn?0:hn(Ta,Ea):sn?hn(Ta+(Ta<0?l:-l),Ea):0;if(!qi&&(Pn=mi=sn)&&Ti.lineStart(),sn!==mi&&(Cn=Xi(qi,qa),(!Cn||Fa(qi,Cn)||Fa(qa,Cn))&&(qa[2]=1)),sn!==mi)Ma=0,sn?(Ti.lineStart(),Cn=Xi(qa,qi),Ti.point(Cn[0],Cn[1])):(Cn=Xi(qi,qa),Ti.point(Cn[0],Cn[1],2),Ti.lineEnd()),qi=Cn;else if(Ur&&qi&&vr^sn){var mo;!(Ua&Ii)&&(mo=Xi(qa,qi,!0))&&(Ma=0,vr?(Ti.lineStart(),Ti.point(mo[0][0],mo[0][1]),Ti.point(mo[1][0],mo[1][1]),Ti.lineEnd()):(Ti.point(mo[1][0],mo[1][1]),Ti.lineEnd(),Ti.lineStart(),Ti.point(mo[0][0],mo[0][1],3)))}sn&&(!qi||!Fa(qi,qa))&&Ti.point(qa[0],qa[1]),qi=qa,mi=sn,Ii=Ua},lineEnd:function(){mi&&Ti.lineEnd(),qi=null},clean:function(){return Ma|(Pn&&mi)<<1}}}function Xi(Ti,qi,Ii){var mi=ce(Ti),Pn=ce(qi),Ma=[1,0,0],Ta=nt(mi,Pn),Ea=Ge(Ta,Ta),qa=Ta[0],Cn=Ea-qa*qa;if(!Cn)return!Ii&&Ti;var sn=Bt*Ea/Cn,Ua=-Bt*qa/Cn,mo=nt(Ma,Ta),Xo=qt(Ma,sn),Ts=qt(Ta,Ua);ct(Xo,Ts);var Qo=mo,ys=Ge(Xo,Qo),Bo=Ge(Qo,Qo),yl=ys*ys-Bo*(Ge(Xo,Xo)-1);if(!(yl<0)){var Gs=M(yl),Rs=qt(Qo,(-ys-Gs)/Bo);if(ct(Rs,Xo),Rs=Re(Rs),!Ii)return Rs;var ia=Ti[0],Ka=qi[0],vs=Ti[1],Ko=qi[1],iu;Ka<ia&&(iu=ia,ia=Ka,Ka=iu);var Ru=Ka-ia,ac=v(Ru-l)<o,mf=ac||Ru<o;if(!ac&&Ko<vs&&(iu=vs,vs=Ko,Ko=iu),mf?ac?vs+Ko>0^Rs[1]<(v(Rs[0]-ia)<o?vs:Ko):vs<=Rs[1]&&Rs[1]<=Ko:Ru>l^(ia<=Rs[0]&&Rs[0]<=Ka)){var bu=qt(Qo,(-ys+Gs)/Bo);return ct(bu,Xo),[Rs,Re(bu)]}}}function hn(Ti,qi){var Ii=vr?gt:l-gt,mi=0;return Ti<-Ii?mi|=1:Ti>Ii&&(mi|=2),qi<-Ii?mi|=4:qi>Ii&&(mi|=8),mi}return xn(xi,Fi,fi,vr?[0,-gt]:[-l,gt-l])}function hi(gt,Bt,wr,vr,Ur,fi){var xi=gt[0],Fi=gt[1],Xi=Bt[0],hn=Bt[1],Ti=0,qi=1,Ii=Xi-xi,mi=hn-Fi,Pn;if(Pn=wr-xi,!(!Ii&&Pn>0)){if(Pn/=Ii,Ii<0){if(Pn<Ti)return;Pn<qi&&(qi=Pn)}else if(Ii>0){if(Pn>qi)return;Pn>Ti&&(Ti=Pn)}if(Pn=Ur-xi,!(!Ii&&Pn<0)){if(Pn/=Ii,Ii<0){if(Pn>qi)return;Pn>Ti&&(Ti=Pn)}else 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Ti=hn,qi=la(),Ii,mi,Pn,Ma,Ta,Ea,qa,Cn,sn,Ua,mo,Xo={point:Ts,lineStart:yl,lineEnd:Gs,polygonStart:ys,polygonEnd:Bo};function Ts(ia,Ka){Ur(ia,Ka)&&Ti.point(ia,Ka)}function Qo(){for(var ia=0,Ka=0,vs=mi.length;Ka<vs;++Ka)for(var Ko=mi[Ka],iu=1,Ru=Ko.length,ac=Ko[0],mf,bu,Kc=ac[0],Du=ac[1];iu<Ru;++iu)mf=Kc,bu=Du,ac=Ko[iu],Kc=ac[0],Du=ac[1],bu<=vr?Du>vr&&(Kc-mf)*(vr-bu)>(Du-bu)*(gt-mf)&&++ia:Du<=vr&&(Kc-mf)*(vr-bu)<(Du-bu)*(gt-mf)&&--ia;return ia}function ys(){Ti=qi,Ii=[],mi=[],mo=!0}function Bo(){var ia=Qo(),Ka=mo&&ia,vs=(Ii=t.merge(Ii)).length;(Ka||vs)&&(hn.polygonStart(),Ka&&(hn.lineStart(),fi(null,null,1,hn),hn.lineEnd()),vs&&jo(Ii,Fi,ia,fi,hn),hn.polygonEnd()),Ti=hn,Ii=mi=Pn=null}function yl(){Xo.point=Rs,mi&&mi.push(Pn=[]),Ua=!0,sn=!1,qa=Cn=NaN}function Gs(){Ii&&(Rs(Ma,Ta),Ea&&sn&&qi.rejoin(),Ii.push(qi.result())),Xo.point=Ts,sn&&Ti.lineEnd()}function Rs(ia,Ka){var vs=Ur(ia,Ka);if(mi&&Pn.push([ia,Ka]),Ua)Ma=ia,Ta=Ka,Ea=vs,Ua=!1,vs&&(Ti.lineStart(),Ti.point(ia,Ka));else 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Pe=v(he),Oe=v(be),Je=o(be),He=o(he)*Je,et=x(he)*Je,Mt=x(Oe*be);he=n(a(et,Mt)),be=q(He),n(he-A)>g&&(he%=A);var Dt=Ji(he>k/4?A-he:he,be);return he>k/4&&(Mt=Dt[0],Dt[0]=-Dt[1],Dt[1]=-Mt),Dt[0]*=Pe,Dt[1]*=-Oe,Dt}hi.invert=function(he,be){n(he)>1&&(he=v(he)*2-he),n(be)>1&&(be=v(be)*2-be);var Pe=v(he),Oe=v(be),Je=-Pe*he,He=-Oe*be,et=He/Je<1,Mt=ua(et?He:Je,et?Je:He),Dt=Mt[0],Ut=Mt[1],tr=o(Ut);return et&&(Dt=-A-Dt),[Pe*(a(x(Dt)*tr,-x(Ut))+k),Oe*q(o(Dt)*tr)]};function Ji(he,be){if(be===A)return[0,0];var Pe=x(be),Oe=Pe*Pe,Je=Oe*Oe,He=1+Je,et=1+3*Je,Mt=1-Je,Dt=q(1/H(He)),Ut=Mt+Oe*He*Dt,tr=(1-Pe)/Ut,mr=H(tr),Rr=tr*He,zr=H(Rr),Xr=mr*Mt,di,Li;if(he===0)return[0,-(Xr+Oe*zr)];var Ci=o(be),Qi=1/Ci,Mn=2*Pe*Ci,pa=(-3*Oe+Dt*et)*Mn,ea=(-Ut*Ci-(1-Pe)*pa)/(Ut*Ut),Ga=.5*ea/mr,To=Mt*Ga-2*Oe*mr*Mn,Wa=Oe*He*ea+tr*et*Mn,co=-Qi*Mn,Ro=-Qi*Wa,Ds=-2*Qi*To,As=4*he/k,yo;if(he>.222*k||be<k/4&&he>.175*k){if(di=(Xr+Oe*H(Rr*(1+Je)-Xr*Xr))/(1+Je),he>k/4)return[di,di];var po=di,_l=.5*di;di=.5*(_l+po),Li=50;do{var 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et=1/x(Oe),Mt=1/(b(Oe)*b(Oe)),Dt=-(Mt+Pe*(He*He*et*et)-1+Pe),Ut=(Pe-1)*Mt,tr=(-Dt+H(Dt*Dt-4*Ut))/2;return[ho(i(1/H(tr)),Pe)*v(he),ho(i(H((tr/Mt-1)/Pe)),1-Pe)*v(be)]}return[0,ho(i(He),1-Pe)*v(be)]}function ho(he,be){if(!be)return he;if(be===1)return u(b(he/2+L));for(var Pe=1,Oe=H(1-be),Je=H(be),He=0;n(Je)>g;He++){if(he%k){var et=i(Oe*b(he)/Pe);et<0&&(et+=k),he+=et+~~(he/k)*k}else he+=he;Je=(Pe+Oe)/2,Oe=H(Pe*Oe),Je=((Pe=Je)-Oe)/2}return he/(h(2,He)*Pe)}function Mo(he,be){var Pe=(C-1)/(C+1),Oe=H(1-Pe*Pe),Je=ho(A,Oe*Oe),He=-1,et=u(b(k/4+n(be)/2)),Mt=s(He*et)/H(Pe),Dt=xo(Mt*o(He*he),Mt*x(He*he)),Ut=Oo(Dt[0],Dt[1],Oe*Oe);return[-Ut[1],(be>=0?1:-1)*(.5*Je-Ut[0])]}function xo(he,be){var Pe=he*he,Oe=be+1,Je=1-Pe-be*be;return[.5*((he>=0?A:-A)-a(Je,2*he)),-.25*u(Je*Je+4*Pe)+.5*u(Oe*Oe+Pe)]}function zs(he,be){var Pe=be[0]*be[0]+be[1]*be[1];return[(he[0]*be[0]+he[1]*be[1])/Pe,(he[1]*be[0]-he[0]*be[1])/Pe]}Mo.invert=function(he,be){var Pe=(C-1)/(C+1),Oe=H(1-Pe*Pe),Je=ho(A,Oe*Oe),He=-1,et=Sa(.5*Je-be,-he,Oe*Oe),Mt=zs(et[0],et[1]),Dt=a(Mt[1],Mt[0])/He;return[Dt,2*i(s(.5/He*u(Pe*Mt[0]*Mt[0]+Pe*Mt[1]*Mt[1])))-A]};function ks(){return t.geoProjection(an(Mo)).scale(151.496)}function Zs(he){var be=x(he),Pe=o(he),Oe=Xs(he);Oe.invert=Xs(-he);function Je(He,et){var Mt=Oe(He,et);He=Mt[0],et=Mt[1];var Dt=x(et),Ut=o(et),tr=o(He),mr=V(be*Dt+Pe*Ut*tr),Rr=x(mr),zr=n(Rr)>g?mr/Rr:1;return[zr*Pe*x(He),(n(He)>A?zr:-zr)*(be*Ut-Pe*Dt*tr)]}return Je.invert=function(He,et){var Mt=H(He*He+et*et),Dt=-x(Mt),Ut=o(Mt),tr=Mt*Ut,mr=-et*Dt,Rr=Mt*be,zr=H(tr*tr+mr*mr-Rr*Rr),Xr=a(tr*Rr+mr*zr,mr*Rr-tr*zr),di=(Mt>A?-1:1)*a(He*Dt,Mt*o(Xr)*Ut+et*x(Xr)*Dt);return Oe.invert(di,Xr)},Je}function Xs(he){var be=x(he),Pe=o(he);return function(Oe,Je){var He=o(Je),et=o(Oe)*He,Mt=x(Oe)*He,Dt=x(Je);return[a(Mt,et*Pe-Dt*be),q(Dt*Pe+et*be)]}}function wl(){var he=0,be=t.geoProjectionMutator(Zs),Pe=be(he),Oe=Pe.rotate,Je=Pe.stream,He=t.geoCircle();return Pe.parallel=function(et){if(!arguments.length)return he*P;var Mt=Pe.rotate();return be(he=et*T).rotate(Mt)},Pe.rotate=function(et){return arguments.length?(Oe.call(Pe,[et[0],et[1]-he*P]),He.center([-et[0],-et[1]]),Pe):(et=Oe.call(Pe),et[1]+=he*P,et)},Pe.stream=function(et){return et=Je(et),et.sphere=function(){et.polygonStart();var Mt=.01,Dt=He.radius(90-Mt)().coordinates[0],Ut=Dt.length-1,tr=-1,mr;for(et.lineStart();++tr<Ut;)et.point((mr=Dt[tr])[0],mr[1]);for(et.lineEnd(),Dt=He.radius(90+Mt)().coordinates[0],Ut=Dt.length-1,et.lineStart();--tr>=0;)et.point((mr=Dt[tr])[0],mr[1]);et.lineEnd(),et.polygonEnd()},et},Pe.scale(79.4187).parallel(45).clipAngle(180-.001)}var os=3,cl=q(1-1/os)*P,Cs=ar(0);function ml(he){var be=cl*T,Pe=ht(k,be)[0]-ht(-k,be)[0],Oe=Cs(0,be)[1],Je=ht(0,be)[1],He=M-Je,et=p/he,Mt=4/p,Dt=Oe+He*He*4/p;function Ut(tr,mr){var Rr,zr=n(mr);if(zr>be){var Xr=f(he-1,c(0,l((tr+k)/et)));tr+=k*(he-1)/he-Xr*et,Rr=ht(tr,zr),Rr[0]=Rr[0]*p/Pe-p*(he-1)/(2*he)+Xr*p/he,Rr[1]=Oe+(Rr[1]-Je)*4*He/p,mr<0&&(Rr[1]=-Rr[1])}else Rr=Cs(tr,mr);return Rr[0]*=Mt,Rr[1]/=Dt,Rr}return Ut.invert=function(tr,mr){tr/=Mt,mr*=Dt;var Rr=n(mr);if(Rr>Oe){var zr=f(he-1,c(0,l((tr+k)/et)));tr=(tr+k*(he-1)/he-zr*et)*Pe/p;var Xr=ht.invert(tr,.25*(Rr-Oe)*p/He+Je);return Xr[0]-=k*(he-1)/he-zr*et,mr<0&&(Xr[1]=-Xr[1]),Xr}return Cs.invert(tr,mr)},Ut}function Ys(he,be){return[he,be&1?90-g:cl]}function Hs(he,be){return[he,be&1?-90+g:-cl]}function Eo(he){return[he[0]*(1-g),he[1]]}function fs(he){var be=[].concat(r.range(-180,180+he/2,he).map(Ys),r.range(180,-180-he/2,-he).map(Hs));return{type:\"Polygon\",coordinates:[he===180?be.map(Eo):be]}}function $l(){var he=4,be=t.geoProjectionMutator(ml),Pe=be(he),Oe=Pe.stream;return Pe.lobes=function(Je){return arguments.length?be(he=+Je):he},Pe.stream=function(Je){var He=Pe.rotate(),et=Oe(Je),Mt=(Pe.rotate([0,0]),Oe(Je));return 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SRe=ye((Epr,ARe)=>{\"use strict\";var Zh=xa(),bX=Mr(),bDt=ba(),X5=Math.PI/180,G2=180/Math.PI,TX={cursor:\"pointer\"},AX={cursor:\"auto\"};function wDt(e,t){var r=e.projection,n;return t._isScoped?n=TDt:t._isClipped?n=SDt:n=ADt,n(e,r)}ARe.exports=wDt;function SX(e,t){return Zh.behavior.zoom().translate(t.translate()).scale(t.scale())}function MX(e,t,r){var n=e.id,i=e.graphDiv,a=i.layout,o=a[n],s=i._fullLayout,l=s[n],u={},c={};function f(h,d){u[n+\".\"+h]=bX.nestedProperty(o,h).get(),bDt.call(\"_storeDirectGUIEdit\",a,s._preGUI,u);var v=bX.nestedProperty(l,h);v.get()!==d&&(v.set(d),bX.nestedProperty(o,h).set(d),c[n+\".\"+h]=d)}r(f),f(\"projection.scale\",t.scale()/e.fitScale),f(\"fitbounds\",!1),i.emit(\"plotly_relayout\",c)}function TDt(e,t){var r=SX(e,t);function n(){Zh.select(this).style(TX)}function i(){t.scale(Zh.event.scale).translate(Zh.event.translate),e.render(!0);var 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t1=xa(),CX=xX(),DDt=CX.geoPath,zDt=CX.geoDistance,FDt=xRe(),qDt=ba(),QE=Mr(),ODt=QE.strTranslate,Mz=va(),$E=ao(),MRe=Nc(),BDt=Xu(),kX=Qa(),ERe=wg().getAutoRange,EX=gv(),NDt=wf().prepSelect,UDt=wf().clearOutline,VDt=wf().selectOnClick,HDt=SRe(),fp=XE(),GDt=ix(),CRe=cz(),jDt=aX().feature;function LRe(e){this.id=e.id,this.graphDiv=e.graphDiv,this.container=e.container,this.topojsonURL=e.topojsonURL,this.isStatic=e.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var $g=LRe.prototype;PRe.exports=function(t){return new LRe(t)};$g.plot=function(e,t,r,n){var i=this;if(n)return i.update(e,t,!0);i._geoCalcData=e,i._fullLayout=t;var a=t[this.id],o=[],s=!1;for(var l in 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r=this.graphDiv,n=t[this.id],i=t._size,a=n.domain,o=n.projection,s=n.lonaxis,l=n.lataxis,u=s._ax,c=l._ax,f=this.projection=WDt(n),h=[[i.l+i.w*a.x[0],i.t+i.h*(1-a.y[1])],[i.l+i.w*a.x[1],i.t+i.h*(1-a.y[0])]],d=n.center||{},v=o.rotation||{},x=s.range||[],b=l.range||[];if(n.fitbounds){u._length=h[1][0]-h[0][0],c._length=h[1][1]-h[0][1],u.range=ERe(r,u),c.range=ERe(r,c);var g=(u.range[0]+u.range[1])/2,E=(c.range[0]+c.range[1])/2;if(n._isScoped)d={lon:g,lat:E};else if(n._isClipped){d={lon:g,lat:E},v={lon:g,lat:E,roll:v.roll};var k=o.type,A=fp.lonaxisSpan[k]/2||180,L=fp.lataxisSpan[k]/2||90;x=[g-A,g+A],b=[E-L,E+L]}else d={lon:g,lat:E},v={lon:g,lat:v.lat,roll:v.roll}}f.center([d.lon-v.lon,d.lat-v.lat]).rotate([-v.lon,-v.lat,v.roll]).parallels(o.parallels);var _=kRe(x,b);f.fitExtent(h,_);var C=this.bounds=f.getBounds(_),M=this.fitScale=f.scale(),p=f.translate();if(n.fitbounds){var P=f.getBounds(kRe(u.range,c.range)),T=Math.min((C[1][0]-C[0][0])/(P[1][0]-P[0][0]),(C[1][1]-C[0][1])/(P[1][1]-P[0][1]));isFinite(T)?f.scale(T*M):QE.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else f.scale(o.scale*M);var F=this.midPt=[(C[0][0]+C[1][0])/2,(C[0][1]+C[1][1])/2];if(f.translate([p[0]+(F[0]-p[0]),p[1]+(F[1]-p[1])]).clipExtent(C),n._isAlbersUsa){var q=f([d.lon,d.lat]),V=f.translate();f.translate([V[0]-(q[0]-V[0]),V[1]-(q[1]-V[1])])}};$g.updateBaseLayers=function(e,t){var r=this,n=r.topojson,i=r.layers,a=r.basePaths;function o(h){return h===\"lonaxis\"||h===\"lataxis\"}function s(h){return!!fp.lineLayers[h]}function l(h){return!!fp.fillLayers[h]}var u=this.hasChoropleth?fp.layersForChoropleth:fp.layers,c=u.filter(function(h){return s(h)||l(h)?t[\"show\"+h]:o(h)?t[h].showgrid:!0}),f=r.framework.selectAll(\".layer\").data(c,String);f.exit().each(function(h){delete i[h],delete 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r=this.bounds,n=(t.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;$E.setRect(this.clipRect,i,a,o,s),this.bgRect.call($E.setRect,i,a,o,s).call(Mz.fill,t.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s};$g.updateFx=function(e,t){var r=this,n=r.graphDiv,i=r.bgRect,a=e.dragmode,o=e.clickmode;if(r.isStatic)return;function s(){var f=r.viewInitial,h={};for(var d in f)h[r.id+\".\"+d]=f[d];qDt.call(\"_guiRelayout\",n,h),n.emit(\"plotly_doubleclick\",null)}function l(f){return r.projection.invert([f[0]+r.xaxis._offset,f[1]+r.yaxis._offset])}var u=function(f,h){if(h.isRect){var d=f.range={};d[r.id]=[l([h.xmin,h.ymin]),l([h.xmax,h.ymax])]}else{var v=f.lassoPoints={};v[r.id]=h.map(l)}},c={element:r.bgRect.node(),gd:n,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(f){f===2&&UDt(n)}};a===\"pan\"?(i.node().onmousedown=null,i.call(HDt(r,t)),i.on(\"dblclick.zoom\",s),n._context._scrollZoom.geo||i.on(\"wheel.zoom\",null)):(a===\"select\"||a===\"lasso\")&&(i.on(\".zoom\",null),c.prepFn=function(f,h,d){NDt(f,h,d,c,a)},EX.init(c)),i.on(\"mousemove\",function(){var f=r.projection.invert(QE.getPositionFromD3Event());if(!f)return EX.unhover(n,t1.event);r.xaxis.p2c=function(){return f[0]},r.yaxis.p2c=function(){return f[1]},MRe.hover(n,t1.event,r.id)}),i.on(\"mouseout\",function(){n._dragging||EX.unhover(n,t1.event)}),i.on(\"click\",function(){a!==\"select\"&&a!==\"lasso\"&&(o.indexOf(\"select\")>-1&&VDt(t1.event,n,[r.xaxis],[r.yaxis],r.id,c),o.indexOf(\"event\")>-1&&MRe.click(n,t1.event))})};$g.makeFramework=function(){var e=this,t=e.graphDiv,r=t._fullLayout,n=\"clip\"+r._uid+e.id;e.clipDef=r._clips.append(\"clipPath\").attr(\"id\",n),e.clipRect=e.clipDef.append(\"rect\"),e.framework=t1.select(e.container).append(\"g\").attr(\"class\",\"geo \"+e.id).call($E.setClipUrl,n,t),e.project=function(i){var a=e.projection(i);return a?[a[0]-e.xaxis._offset,a[1]-e.yaxis._offset]:[null,null]},e.xaxis={_id:\"x\",c2p:function(i){return e.project(i)[0]}},e.yaxis={_id:\"y\",c2p:function(i){return e.project(i)[1]}},e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},kX.setConvert(e.mockAxis,r)};$g.saveViewInitial=function(e){var t=e.center||{},r=e.projection,n=r.rotation||{};this.viewInitial={fitbounds:e.fitbounds,\"projection.scale\":r.scale};var i;e._isScoped?i={\"center.lon\":t.lon,\"center.lat\":t.lat}:e._isClipped?i={\"projection.rotation.lon\":n.lon,\"projection.rotation.lat\":n.lat}:i={\"center.lon\":t.lon,\"center.lat\":t.lat,\"projection.rotation.lon\":n.lon},QE.extendFlat(this.viewInitial,i)};$g.render=function(e){this._hasMarkerAngles&&e?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()};$g._render=function(){var e=this.projection,t=e.getPath(),r;function n(a){var o=e(a.lonlat);return o?ODt(o[0],o[1]):null}function i(a){return e.isLonLatOverEdges(a.lonlat)?\"none\":null}for(r in this.basePaths)this.basePaths[r].attr(\"d\",t);for(r in this.dataPaths)this.dataPaths[r].attr(\"d\",function(a){return t(a.geojson)});for(r in this.dataPoints)this.dataPoints[r].attr(\"display\",i).attr(\"transform\",n)};function WDt(e){var t=e.projection,r=t.type,n=fp.projNames[r];n=\"geo\"+QE.titleCase(n);for(var i=CX[n]||FDt[n],a=i(),o=e._isSatellite?Math.acos(1/t.distance)*180/Math.PI:e._isClipped?fp.lonaxisSpan[r]/2:null,s=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],l=function(f){return f?a:[]},u=0;u<s.length;u++){var c=s[u];typeof a[c]!=\"function\"&&(a[c]=l)}return a.isLonLatOverEdges=function(f){if(a(f)===null)return!0;if(o){var h=a.rotate(),d=zDt(f,[-h[0],-h[1]]),v=o*Math.PI/180;return d>v}else return!1},a.getPath=function(){return DDt().projection(a)},a.getBounds=function(f){return a.getPath().bounds(f)},a.precision(fp.precision),e._isSatellite&&a.tilt(t.tilt).distance(t.distance),o&&a.clipAngle(o-fp.clipPad),a}function ZDt(e,t,r){var n=1e-6,i=2.5,a=t[e],o=fp.scopeDefaults[t.scope],s,l,u;e===\"lonaxis\"?(s=o.lonaxisRange,l=o.lataxisRange,u=function(E,k){return[E,k]}):e===\"lataxis\"&&(s=o.lataxisRange,l=o.lonaxisRange,u=function(E,k){return[k,E]});var c={type:\"linear\",range:[s[0],s[1]-n],tick0:a.tick0,dtick:a.dtick};kX.setConvert(c,r);var f=kX.calcTicks(c);!t.isScoped&&e===\"lonaxis\"&&f.pop();for(var h=f.length,d=new Array(h),v=0;v<h;v++)for(var x=f[v].x,b=d[v]=[],g=l[0];g<l[1]+i;g+=i)b.push(u(x,g));return{type:\"MultiLineString\",coordinates:d}}function kRe(e,t){var r=fp.clipPad,n=e[0]+r,i=e[1]-r,a=t[0]+r,o=t[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}});var LX=ye((Cpr,zRe)=>{\"use strict\";var K5=dh(),XDt=Ju().attributes,YDt=Ed().dash,Y5=XE(),KDt=Bu().overrideAll,RRe=X1(),DRe={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:K5.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:YDt},JDt=zRe.exports=KDt({domain:XDt({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:RRe(Y5.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:RRe(Y5.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:K5.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:Y5.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:Y5.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:Y5.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:Y5.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:K5.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:K5.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:K5.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:K5.background},lonaxis:DRe,lataxis:DRe},\"plot\",\"from-root\");JDt.uirevision={valType:\"any\",editType:\"none\"}});var ORe=ye((Lpr,qRe)=>{\"use strict\";var Ez=Mr(),$Dt=k_(),QDt=kd().getSubplotData,kz=XE(),ezt=LX(),FRe=kz.axesNames;qRe.exports=function(t,r,n){$Dt(t,r,n,{type:\"geo\",attributes:ezt,handleDefaults:tzt,fullData:n,partition:\"y\"})};function tzt(e,t,r,n){var i=QDt(n.fullData,\"geo\",n.id),a=i.map(function(ae){return ae.index}),o=r(\"resolution\"),s=r(\"scope\"),l=kz.scopeDefaults[s],u=r(\"projection.type\",l.projType),c=t._isAlbersUsa=u===\"albers usa\";c&&(s=t.scope=\"usa\");var f=t._isScoped=s!==\"world\",h=t._isSatellite=u===\"satellite\",d=t._isConic=u.indexOf(\"conic\")!==-1||u===\"albers\",v=t._isClipped=!!kz.lonaxisSpan[u];if(e.visible===!1){var x=Ez.extendDeep({},t._template);x.showcoastlines=!1,x.showcountries=!1,x.showframe=!1,x.showlakes=!1,x.showland=!1,x.showocean=!1,x.showrivers=!1,x.showsubunits=!1,x.lonaxis&&(x.lonaxis.showgrid=!1),x.lataxis&&(x.lataxis.showgrid=!1),t._template=x}for(var b=r(\"visible\"),g,E=0;E<FRe.length;E++){var k=FRe[E],A=[30,10][E],L;if(f)L=l[k+\"Range\"];else{var _=kz[k+\"Span\"],C=(_[u]||_[\"*\"])/2,M=r(\"projection.rotation.\"+k.substr(0,3),l.projRotate[E]);L=[M-C,M+C]}var p=r(k+\".range\",L);r(k+\".tick0\"),r(k+\".dtick\",A),g=r(k+\".showgrid\",b?void 0:!1),g&&(r(k+\".gridcolor\"),r(k+\".gridwidth\"),r(k+\".griddash\")),t[k]._ax={type:\"linear\",_id:k.slice(0,3),_traceIndices:a,setScale:Ez.identity,c2l:Ez.identity,r2l:Ez.identity,autorange:!0,range:p.slice(),_m:1,_input:{}}}var P=t.lonaxis.range,T=t.lataxis.range,F=P[0],q=P[1];F>0&&q<0&&(q+=360);var V=(F+q)/2,H;if(!c){var X=f?l.projRotate:[V,0,0];H=r(\"projection.rotation.lon\",X[0]),r(\"projection.rotation.lat\",X[1]),r(\"projection.rotation.roll\",X[2]),g=r(\"showcoastlines\",!f&&b),g&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),g=r(\"showocean\",b?void 0:!1),g&&r(\"oceancolor\")}var G,N;if(c?(G=-96.6,N=38.7):(G=f?V:H,N=(T[0]+T[1])/2),r(\"center.lon\",G),r(\"center.lat\",N),h&&(r(\"projection.tilt\"),r(\"projection.distance\")),d){var W=l.projParallels||[0,60];r(\"projection.parallels\",W)}r(\"projection.scale\"),g=r(\"showland\",b?void 0:!1),g&&r(\"landcolor\"),g=r(\"showlakes\",b?void 0:!1),g&&r(\"lakecolor\"),g=r(\"showrivers\",b?void 0:!1),g&&(r(\"rivercolor\"),r(\"riverwidth\")),g=r(\"showcountries\",f&&s!==\"usa\"&&b),g&&(r(\"countrycolor\"),r(\"countrywidth\")),(s===\"usa\"||s===\"north america\"&&o===50)&&(r(\"showsubunits\",b),r(\"subunitcolor\"),r(\"subunitwidth\")),f||(g=r(\"showframe\",b),g&&(r(\"framecolor\"),r(\"framewidth\"))),r(\"bgcolor\");var re=r(\"fitbounds\");re&&(delete t.projection.scale,f?(delete t.center.lon,delete t.center.lat):v?(delete t.center.lon,delete t.center.lat,delete t.projection.rotation.lon,delete t.projection.rotation.lat,delete t.lonaxis.range,delete t.lataxis.range):(delete t.center.lon,delete t.center.lat,delete 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lzt=Wo().hovertemplateAttrs,ax=H2(),uzt=Kl(),WRe=vl(),czt=dh().defaultLine,nx=no().extendFlat,ZRe=ax.marker.line;XRe.exports=nx({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:ax.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:nx({},ax.geojson,{}),featureidkey:ax.featureidkey,text:nx({},ax.text,{}),hovertext:nx({},ax.hovertext,{}),marker:{line:{color:nx({},ZRe.color,{dflt:czt}),width:nx({},ZRe.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:ax.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:ax.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:nx({},WRe.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:lzt(),showlegend:nx({},WRe.showlegend,{dflt:!1})},uzt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var KRe=ye((zpr,YRe)=>{\"use 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v[b].length||f.draw(b);h[b]&&n.textOptions[b]&&h[b].render()}d&&d.draw(v),n.dirty=!1},n.destroy=function(){n.fill2d&&n.fill2d.destroy&&n.fill2d.destroy(),n.scatter2d&&n.scatter2d.destroy&&n.scatter2d.destroy(),n.error2d&&n.error2d.destroy&&n.error2d.destroy(),n.line2d&&n.line2d.destroy&&n.line2d.destroy(),n.select2d&&n.select2d.destroy&&n.select2d.destroy(),n.glText&&n.glText.forEach(function(s){s.destroy&&s.destroy()}),n.lineOptions=null,n.fillOptions=null,n.markerOptions=null,n.markerSelectedOptions=null,n.markerUnselectedOptions=null,n.errorXOptions=null,n.errorYOptions=null,n.textOptions=null,n.textSelectedOptions=null,n.textUnselectedOptions=null,n.selectBatch=null,n.unselectBatch=null,r._scene=null}),n.dirty||jz.extendFlat(n,i),n}});var Fze=ye((g0r,zze)=>{\"use strict\";var XFt=Oz(),nA=Mr(),Pze=af(),YFt=wg().findExtremes,Ize=Rg(),XX=q0(),KFt=XX.calcMarkerSize,JFt=XX.calcAxisExpansion,$Ft=XX.setFirstScatter,QFt=z0(),aA=Y2(),e7t=ZX(),Rze=es().BADNUM,t7t=ox().TOO_MANY_POINTS;zze.exports=function(t,r){var n=t._fullLayout,i=r._xA=Pze.getFromId(t,r.xaxis,\"x\"),a=r._yA=Pze.getFromId(t,r.yaxis,\"y\"),o=n._plots[r.xaxis+r.yaxis],s=r._length,l=s>=t7t,u=s*2,c={},f,h=i.makeCalcdata(r,\"x\"),d=a.makeCalcdata(r,\"y\"),v=Ize(r,i,\"x\",h),x=Ize(r,a,\"y\",d),b=v.vals,g=x.vals;r._x=b,r._y=g,r.xperiodalignment&&(r._origX=h,r._xStarts=v.starts,r._xEnds=v.ends),r.yperiodalignment&&(r._origY=d,r._yStarts=x.starts,r._yEnds=x.ends);var E=new Array(u),k=new Array(s);for(f=0;f<s;f++)E[f*2]=b[f]===Rze?NaN:b[f],E[f*2+1]=g[f]===Rze?NaN:g[f],k[f]=f;if(i.type===\"log\")for(f=0;f<u;f+=2)E[f]=i.c2l(E[f]);if(a.type===\"log\")for(f=1;f<u;f+=2)E[f]=a.c2l(E[f]);l&&i.type!==\"log\"&&a.type!==\"log\"?c.tree=XFt(E):c.ids=k,QFt(t,r);var A=r7t(t,o,r,E,b,g),L=e7t(t,o);$Ft(n,r);var _;return l?A.marker&&(_=A.marker.sizeAvg||Math.max(A.marker.size,3)):_=KFt(r,s),JFt(t,r,i,a,b,g,_),A.errorX&&Dze(r,i,A.errorX),A.errorY&&Dze(r,a,A.errorY),A.fill&&!L.fill2d&&(L.fill2d=!0),A.marker&&!L.scatter2d&&(L.scatter2d=!0),A.line&&!L.line2d&&(L.line2d=!0),(A.errorX||A.errorY)&&!L.error2d&&(L.error2d=!0),A.text&&!L.glText&&(L.glText=!0),A.marker&&(A.marker.snap=s),L.lineOptions.push(A.line),L.errorXOptions.push(A.errorX),L.errorYOptions.push(A.errorY),L.fillOptions.push(A.fill),L.markerOptions.push(A.marker),L.markerSelectedOptions.push(A.markerSel),L.markerUnselectedOptions.push(A.markerUnsel),L.textOptions.push(A.text),L.textSelectedOptions.push(A.textSel),L.textUnselectedOptions.push(A.textUnsel),L.selectBatch.push([]),L.unselectBatch.push([]),c._scene=L,c.index=L.count,c.x=b,c.y=g,c.positions=E,L.count++,[{x:!1,y:!1,t:c,trace:r}]};function Dze(e,t,r){var n=e._extremes[t._id],i=YFt(t,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}function r7t(e,t,r,n,i,a){var o=aA.style(e,r);if(o.marker&&(o.marker.positions=n),o.line&&n.length>1&&nA.extendFlat(o.line,aA.linePositions(e,r,n)),o.errorX||o.errorY){var s=aA.errorBarPositions(e,r,n,i,a);o.errorX&&nA.extendFlat(o.errorX,s.x),o.errorY&&nA.extendFlat(o.errorY,s.y)}return o.text&&(nA.extendFlat(o.text,{positions:n},aA.textPosition(e,r,o.text,o.marker)),nA.extendFlat(o.textSel,{positions:n},aA.textPosition(e,r,o.text,o.markerSel)),nA.extendFlat(o.textUnsel,{positions:n},aA.textPosition(e,r,o.text,o.markerUnsel))),o}});var YX=ye((m0r,Oze)=>{\"use strict\";var qze=Mr(),i7t=va(),n7t=N1().DESELECTDIM;function a7t(e){var t=e[0],r=t.trace,n=t.t,i=n._scene,a=n.index,o=i.selectBatch[a],s=i.unselectBatch[a],l=i.textOptions[a],u=i.textSelectedOptions[a]||{},c=i.textUnselectedOptions[a]||{},f=qze.extendFlat({},l),h,d;if(o.length||s.length){var v=u.color,x=c.color,b=l.color,g=qze.isArrayOrTypedArray(b);for(f.color=new Array(r._length),h=0;h<o.length;h++)d=o[h],f.color[d]=v||(g?b[d]:b);for(h=0;h<s.length;h++){d=s[h];var E=g?b[d]:b;f.color[d]=x||(v?E:i7t.addOpacity(E,n7t))}}i.glText[a].update(f)}Oze.exports={styleTextSelection:a7t}});var KX=ye((y0r,Nze)=>{\"use strict\";var Bze=lu(),o7t=YX().styleTextSelection;Nze.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l=n[0].t,u=s._length,c=l.x,f=l.y,h=l._scene,d=l.index;if(!h)return o;var v=Bze.hasText(s),x=Bze.hasMarkers(s),b=!x&&!v;if(s.visible!==!0||b)return o;var g=[],E=[];if(r!==!1&&!r.degenerate)for(var k=0;k<u;k++)r.contains([l.xpx[k],l.ypx[k]],!1,k,t)?(g.push(k),o.push({pointNumber:k,x:i.c2d(c[k]),y:a.c2d(f[k])})):E.push(k);if(x){var A=h.scatter2d;if(!g.length&&!E.length){var L=new Array(h.count);L[d]=h.markerOptions[d],A.update.apply(A,L)}else if(!h.selectBatch[d].length&&!h.unselectBatch[d].length){var _=new Array(h.count);_[d]=h.markerUnselectedOptions[d],A.update.apply(A,_)}}return h.selectBatch[d]=g,h.unselectBatch[d]=E,v&&o7t(n),o}});var Vze=ye((_0r,Uze)=>{\"use strict\";var s7t=zz();Uze.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:Jf(),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:ek(),supplyDefaults:TDe(),crossTraceDefaults:$N(),colorbar:Kd(),formatLabels:SDe(),calc:Fze(),hoverPoints:s7t.hoverPoints,selectPoints:KX(),meta:{}}});var Gze=ye((x0r,Zz)=>{\"use strict\";var Wz=O5();Zz.exports=Hze;Zz.exports.to=Hze;Zz.exports.from=l7t;function Hze(e,t){t==null&&(t=!0);var r=e[0],n=e[1],i=e[2],a=e[3];a==null&&(a=t?1:255),t&&(r*=255,n*=255,i*=255,a*=255),r=Wz(r,0,255)&255,n=Wz(n,0,255)&255,i=Wz(i,0,255)&255,a=Wz(a,0,255)&255;var o=r*16777216+(n<<16)+(i<<8)+a;return o}function l7t(e,t){e=+e;var r=e>>>24,n=(e&16711680)>>>16,i=(e&65280)>>>8,a=e&255;return t===!1?[r,n,i,a]:[r/255,n/255,i/255,a/255]}});var bh=ye((b0r,Wze)=>{\"use strict\";var jze=Object.getOwnPropertySymbols,u7t=Object.prototype.hasOwnProperty,c7t=Object.prototype.propertyIsEnumerable;function f7t(e){if(e==null)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(e)}function h7t(){try{if(!Object.assign)return!1;var e=new String(\"abc\");if(e[5]=\"de\",Object.getOwnPropertyNames(e)[0]===\"5\")return!1;for(var t={},r=0;r<10;r++)t[\"_\"+String.fromCharCode(r)]=r;var n=Object.getOwnPropertyNames(t).map(function(a){return t[a]});if(n.join(\"\")!==\"0123456789\")return!1;var i={};return\"abcdefghijklmnopqrst\".split(\"\").forEach(function(a){i[a]=a}),Object.keys(Object.assign({},i)).join(\"\")===\"abcdefghijklmnopqrst\"}catch(a){return!1}}Wze.exports=h7t()?Object.assign:function(e,t){for(var r,n=f7t(e),i,a=1;a<arguments.length;a++){r=Object(arguments[a]);for(var o in r)u7t.call(r,o)&&(n[o]=r[o]);if(jze){i=jze(r);for(var s=0;s<i.length;s++)c7t.call(r,i[s])&&(n[i[s]]=r[i[s]])}}return n}});var Xze=ye((w0r,Zze)=>{Zze.exports=function(e){typeof e==\"string\"&&(e=[e]);for(var t=[].slice.call(arguments,1),r=[],n=0;n<e.length-1;n++)r.push(e[n],t[n]||\"\");return r.push(e[n]),r.join(\"\")}});var JX=ye((T0r,Yze)=>{\"use strict\";Yze.exports=function(t,r,n){Array.isArray(n)||(n=[].slice.call(arguments,2));for(var i=0,a=n.length;i<a;i++){var o=n[i];for(var s in o)if(!(r[s]!==void 0&&!Array.isArray(r[s])&&t[s]===r[s])&&s in r){var l;if(o[s]===!0)l=r[s];else{if(o[s]===!1)continue;if(typeof o[s]==\"function\"&&(l=o[s](r[s],t,r),l===void 0))continue}t[s]=l}}return t}});var Jze=ye((A0r,Kze)=>{\"use strict\";Kze.exports=typeof navigator!=\"undefined\"&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))});var Xz=ye((S0r,oA)=>{\"use strict\";oA.exports=ak;oA.exports.float32=oA.exports.float=ak;oA.exports.fract32=oA.exports.fract=d7t;var $ze=new Float32Array(1);function d7t(e,t){if(e.length){if(e instanceof Float32Array)return new Float32Array(e.length);t instanceof 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e==\"string\")return $X(e,t);var r=Object.prototype.toString.call(e).slice(8,-1);if(r===\"Object\"&&e.constructor&&(r=e.constructor.name),r===\"Map\"||r===\"Set\")return Array.from(e);if(r===\"Arguments\"||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r))return $X(e,t)}}function $X(e,t){(t==null||t>e.length)&&(t=e.length);for(var r=0,n=new Array(t);r<t;r++)n[r]=e[r];return n}function x7t(){throw new TypeError(`Invalid attempt to spread non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}function b7t(){throw new TypeError(`Invalid attempt to destructure non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}var w7t=J_(),T7t=j2(),A7t=Gze(),S7t=Oz(),K2=bh(),Yz=Xze(),M7t=Zm(),E7t=JX(),k7t=W2(),Qze=Jze(),Kz=Xz(),C7t=eA(),L7t=rv;function rv(e,t){var r=this;if(!(this instanceof rv))return new rv(e,t);typeof e==\"function\"?(t||(t={}),t.regl=e):(t=e,e=null),t&&t.length&&(t.positions=t),e=t.regl;var n=e._gl,i,a=[],o={},s=[],l=[null],u=[null],c=255,f=100;this.tooManyColors=Qze,i=e.texture({data:new Uint8Array(c*4),width:c,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),K2(this,{regl:e,gl:n,groups:s,markerCache:u,markerTextures:l,palette:a,paletteIds:o,paletteTexture:i,maxColors:c,maxSize:f,canvas:n.canvas}),this.update(t);var h={uniforms:{constPointSize:!!t.constPointSize,opacity:e.prop(\"opacity\"),paletteSize:function(b,g){return[r.tooManyColors?0:c,i.height]},pixelRatio:e.context(\"pixelRatio\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translate:e.prop(\"translate\"),translateFract:e.prop(\"translateFract\"),markerTexture:e.prop(\"markerTexture\"),paletteTexture:i},attributes:{x:function(b,g){return g.xAttr||{buffer:g.positionBuffer,stride:8,offset:0}},y:function(b,g){return g.yAttr||{buffer:g.positionBuffer,stride:8,offset:4}},xFract:function(b,g){return g.xAttr?{constant:[0,0]}:{buffer:g.positionFractBuffer,stride:8,offset:0}},yFract:function(b,g){return g.yAttr?{constant:[0,0]}:{buffer:g.positionFractBuffer,stride:8,offset:4}},size:function(b,g){return g.size.length?{buffer:g.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(g.size*255/r.maxSize)]}},borderSize:function(b,g){return g.borderSize.length?{buffer:g.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(g.borderSize*255/r.maxSize)]}},colorId:function(b,g){return g.color.length?{buffer:g.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(g.color*4,g.color*4+4):[g.color]}},borderColorId:function(b,g){return g.borderColor.length?{buffer:g.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(g.borderColor*4,g.borderColor*4+4):[g.borderColor]}},isActive:function(b,g){return g.activation===!0?{constant:[1]}:g.activation?g.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:e.prop(\"elements\"),count:e.prop(\"count\"),offset:e.prop(\"offset\"),primitive:\"points\"},d=K2({},h);d.frag=Yz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform float opacity;\n",
+       "uniform sampler2D markerTexture;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float smoothStep(float x, float y) {\n",
+       "  return 1.0 / (1.0 + exp(50.0*(x - y)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n",
+       "\n",
+       "  // max-distance alpha\n",
+       "  if (dist < 0.003) discard;\n",
+       "\n",
+       "  // null-border case\n",
+       "  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n",
+       "    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n",
+       "    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n",
+       "  }\n",
+       "  else {\n",
+       "    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n",
+       "    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n",
+       "\n",
+       "    vec4 color = fragBorderColor;\n",
+       "    color.a *= borderColorAmt;\n",
+       "    color = mix(color, fragColor, colorAmt);\n",
+       "    color.a *= opacity;\n",
+       "\n",
+       "    gl_FragColor = color;\n",
+       "  }\n",
+       "\n",
+       "}\n",
+       "`]),d.vert=Yz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "const float borderLevel = .5;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = 2. * size * pointSizeScale;\n",
+       "  fragPointSize = size * pixelRatio;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "\n",
+       "  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n",
+       "  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n",
+       "}\n",
+       "`]),this.drawMarker=e(d);var v=K2({},h);v.frag=Yz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "uniform float opacity;\n",
+       "\n",
+       "float smoothStep(float edge0, float edge1, float x) {\n",
+       "\tfloat t;\n",
+       "\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n",
+       "\treturn t * t * (3.0 - 2.0 * t);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat radius, alpha = 1.0, delta = fragWidth;\n",
+       "\n",
+       "\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n",
+       "\n",
+       "\tif (radius > 1.0 + delta) {\n",
+       "\t\tdiscard;\n",
+       "\t}\n",
+       "\n",
+       "\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n",
+       "\n",
+       "\tfloat borderRadius = fragBorderRadius;\n",
+       "\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n",
+       "\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n",
+       "\tcolor.a *= alpha * opacity;\n",
+       "\tgl_FragColor = color;\n",
+       "}\n",
+       "`]),v.vert=Yz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = (size + borderSize) * pointSizeScale;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "}\n",
+       "`]),Qze&&(v.frag=v.frag.replace(\"smoothstep\",\"smoothStep\"),d.frag=d.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=e(v)}rv.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4};rv.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this};rv.prototype.draw=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];var i=this.groups;if(r.length===1&&Array.isArray(r[0])&&(r[0][0]===null||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach(function(o,s){e.drawItem(s)});return this};rv.prototype.drawItem=function(e,t){var r=this.groups,n=r[e];if(typeof t==\"number\"&&(e=t,n=r[t],t=null),!!(n&&n.count&&n.opacity)){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,t));for(var i=[],a=1;a<n.activation.length;a++)!n.activation[a]||n.activation[a]!==!0&&!n.activation[a].data.length||i.push.apply(i,g7t(this.getMarkerDrawOptions(a,n,t)));i.length&&this.drawMarker(i)}};rv.prototype.getMarkerDrawOptions=function(e,t,r){var n=t.range,i=t.tree,a=t.viewport,o=t.activation,s=t.selectionBuffer,l=t.count,u=this.regl;if(!i)return r?[K2({},t,{markerTexture:this.markerTextures[e],activation:o[e],count:r.length,elements:r,offset:0})]:[K2({},t,{markerTexture:this.markerTextures[e],activation:o[e],offset:0})];var c=[],f=i.range(n,{lod:!0,px:[(n[2]-n[0])/a.width,(n[3]-n[1])/a.height]});if(r){for(var h=o[e],d=h.data,v=new Uint8Array(l),x=0;x<r.length;x++){var b=r[x];v[b]=d?d[b]:1}s.subdata(v)}for(var g=f.length;g--;){var E=p7t(f[g],2),k=E[0],A=E[1];c.push(K2({},t,{markerTexture:this.markerTextures[e],activation:r?s:o[e],offset:k,count:A-k}))}return c};rv.prototype.update=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];if(r.length){r.length===1&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,l=this.maxColors,u=this.palette;this.groups=i=r.map(function(c,f){var h=i[f];if(c===void 0)return h;c===null?c={positions:null}:typeof c==\"function\"?c={ondraw:c}:typeof c[0]==\"number\"&&(c={positions:c}),c=M7t(c,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"}),c.positions===null&&(c.positions=[]),c.tooManyColors!=null&&(e.tooManyColors=c.tooManyColors),h||(i[f]=h={id:f,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},c=K2({},rv.defaults,c)),c.positions&&!(\"marker\"in c)&&(c.marker=h.marker,delete h.marker),c.marker&&!(\"positions\"in c)&&(c.positions=h.positions,delete h.positions);var d=0,v=0;if(E7t(h,c,[{snap:!0,size:function(G,N){return G==null&&(G=rv.defaults.size),d+=G&&G.length?1:0,G},borderSize:function(G,N){return G==null&&(G=rv.defaults.borderSize),d+=G&&G.length?1:0,G},opacity:parseFloat,color:function(G,N){return G==null&&(G=rv.defaults.color),G=e.updateColor(G),v++,G},borderColor:function(G,N){return G==null&&(G=rv.defaults.borderColor),G=e.updateColor(G),v++,G},bounds:function(G,N,W){return\"range\"in W||(W.range=null),G},positions:function(G,N,W){var re=N.snap,ae=N.positionBuffer,_e=N.positionFractBuffer,Me=N.selectionBuffer;if(G.x||G.y)return G.x.length?N.xAttr={buffer:o.buffer(G.x),offset:0,stride:4,count:G.x.length}:N.xAttr={buffer:G.x.buffer,offset:G.x.offset*4||0,stride:(G.x.stride||1)*4,count:G.x.count},G.y.length?N.yAttr={buffer:o.buffer(G.y),offset:0,stride:4,count:G.y.length}:N.yAttr={buffer:G.y.buffer,offset:G.y.offset*4||0,stride:(G.y.stride||1)*4,count:G.y.count},N.count=Math.max(N.xAttr.count,N.yAttr.count),G;G=k7t(G,\"float64\");var ke=N.count=Math.floor(G.length/2),ge=N.bounds=ke?T7t(G,2):null;if(!W.range&&!N.range&&(delete N.range,W.range=ge),!W.marker&&!N.marker&&(delete N.marker,W.marker=null),re&&(re===!0||ke>re)?N.tree=S7t(G,{bounds:ge}):re&&re.length&&(N.tree=re),N.tree){var ie={primitive:\"points\",usage:\"static\",data:N.tree,type:\"uint32\"};N.elements?N.elements(ie):N.elements=o.elements(ie)}var Te=Kz.float32(G);ae({data:Te,usage:\"dynamic\"});var Ee=Kz.fract32(G,Te);return _e({data:Ee,usage:\"dynamic\"}),Me({data:new Uint8Array(ke),type:\"uint8\",usage:\"stream\"}),G}},{marker:function(G,N,W){var re=N.activation;if(re.forEach(function(Ee){return Ee&&Ee.destroy&&Ee.destroy()}),re.length=0,!G||typeof G[0]==\"number\"){var ae=e.addMarker(G);re[ae]=!0}else{for(var _e=[],Me=0,ke=Math.min(G.length,N.count);Me<ke;Me++){var ge=e.addMarker(G[Me]);_e[ge]||(_e[ge]=new Uint8Array(N.count)),_e[ge][Me]=1}for(var ie=0;ie<_e.length;ie++)if(_e[ie]){var Te={data:_e[ie],type:\"uint8\",usage:\"static\"};re[ie]?re[ie](Te):re[ie]=o.buffer(Te),re[ie].data=_e[ie]}}return G},range:function(G,N,W){var re=N.bounds;if(re)return G||(G=re),N.scale=[1/(G[2]-G[0]),1/(G[3]-G[1])],N.translate=[-G[0],-G[1]],N.scaleFract=Kz.fract(N.scale),N.translateFract=Kz.fract(N.translate),G},viewport:function(G){var N=C7t(G||[a.drawingBufferWidth,a.drawingBufferHeight]);return N}}]),d){var x=h,b=x.count,g=x.size,E=x.borderSize,k=x.sizeBuffer,A=new Uint8Array(b*2);if(g.length||E.length)for(var L=0;L<b;L++)A[L*2]=Math.round((g[L]==null?g:g[L])*255/s),A[L*2+1]=Math.round((E[L]==null?E:E[L])*255/s);k({data:A,usage:\"dynamic\"})}if(v){var _=h,C=_.count,M=_.color,p=_.borderColor,P=_.colorBuffer,T;if(e.tooManyColors){if(M.length||p.length){T=new Uint8Array(C*8);for(var F=0;F<C;F++){var q=M[F];T[F*8]=u[q*4],T[F*8+1]=u[q*4+1],T[F*8+2]=u[q*4+2],T[F*8+3]=u[q*4+3];var V=p[F];T[F*8+4]=u[V*4],T[F*8+5]=u[V*4+1],T[F*8+6]=u[V*4+2],T[F*8+7]=u[V*4+3]}}}else if(M.length||p.length){T=new Uint8Array(C*4+2);for(var H=0;H<C;H++)M[H]!=null&&(T[H*4]=M[H]%l,T[H*4+1]=Math.floor(M[H]/l)),p[H]!=null&&(T[H*4+2]=p[H]%l,T[H*4+3]=Math.floor(p[H]/l))}P({data:T||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return h})}};rv.prototype.addMarker=function(e){var t=this.markerTextures,r=this.regl,n=this.markerCache,i=e==null?0:n.indexOf(e);if(i>=0)return i;var a;if(e instanceof Uint8Array||e instanceof Uint8ClampedArray)a=e;else{a=new Uint8Array(e.length);for(var o=0,s=e.length;o<s;o++)a[o]=e[o]*255}var l=Math.floor(Math.sqrt(a.length));return i=t.length,n.push(e),t.push(r.texture({channels:1,data:a,radius:l,mag:\"linear\",min:\"linear\"})),i};rv.prototype.updateColor=function(e){var t=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(e)||(e=[e]);var i=[];if(typeof e[0]==\"number\"){var a=[];if(Array.isArray(e))for(var o=0;o<e.length;o+=4)a.push(e.slice(o,o+4));else for(var s=0;s<e.length;s+=4)a.push(e.subarray(s,s+4));e=a}for(var l=0;l<e.length;l++){var u=e[l];u=w7t(u,\"uint8\");var c=A7t(u,!1);if(t[c]==null){var f=r.length;t[c]=Math.floor(f/4),r[f]=u[0],r[f+1]=u[1],r[f+2]=u[2],r[f+3]=u[3]}i[l]=t[c]}return!this.tooManyColors&&r.length>n*4&&(this.tooManyColors=!0),this.updatePalette(r),i.length===1?i[0]:i};rv.prototype.updatePalette=function(e){if(!this.tooManyColors){var t=this.maxColors,r=this.paletteTexture,n=Math.ceil(e.length*.25/t);if(n>1){e=e.slice();for(var i=e.length*.25%t;i<n*t;i++)e.push(0,0,0,0)}r.height<n&&r.resize(t,n),r.subimage({width:Math.min(e.length*.25,t),height:n,data:e},0,0)}};rv.prototype.destroy=function(){return this.groups.forEach(function(e){e.sizeBuffer.destroy(),e.positionBuffer.destroy(),e.positionFractBuffer.destroy(),e.colorBuffer.destroy(),e.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),e.selectionBuffer.destroy(),e.elements&&e.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(e){return e&&e.destroy&&e.destroy()}),this};var P7t=bh(),I7t=function(t,r){var n=new L7t(t,r),i=n.render.bind(n);return P7t(i,{render:i,update:n.update.bind(n),draw:n.draw.bind(n),destroy:n.destroy.bind(n),regl:n.regl,gl:n.gl,canvas:n.gl.canvas,groups:n.groups,markers:n.markerCache,palette:n.palette}),i};tFe.exports=I7t});var oFe=ye((E0r,iY)=>{\"use strict\";iY.exports=Qz;iY.exports.default=Qz;function Qz(e,t,r){r=r||2;var n=t&&t.length,i=n?t[0]*r:e.length,a=iFe(e,0,i,r,!0),o=[];if(!a||a.next===a.prev)return o;var s,l,u,c,f,h,d;if(n&&(a=q7t(e,t,a,r)),e.length>80*r){s=u=e[0],l=c=e[1];for(var v=r;v<i;v+=r)f=e[v],h=e[v+1],f<s&&(s=f),h<l&&(l=h),f>u&&(u=f),h>c&&(c=h);d=Math.max(u-s,c-l),d=d!==0?32767/d:0}return ok(a,o,r,s,l,d,0),o}function iFe(e,t,r,n,i){var a,o;if(i===rY(e,t,r,n)>0)for(a=t;a<r;a+=n)o=rFe(a,e[a],e[a+1],o);else for(a=r-n;a>=t;a-=n)o=rFe(a,e[a],e[a+1],o);return o&&eF(o,o.next)&&(lk(o),o=o.next),o}function J2(e,t){if(!e)return e;t||(t=e);var r=e,n;do 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e.toString()}catch(t){try{return String(e)}catch(r){return null}}}});var q7e=ye((_gr,F7e)=>{\"use strict\";var G9t=z7e(),j9t=/[\\n\\r\\u2028\\u2029]/g;F7e.exports=function(e){var t=G9t(e);return t===null?\"<Non-coercible to string value>\":(t.length>100&&(t=t.slice(0,99)+\"\\u2026\"),t=t.replace(j9t,function(r){switch(r){case`\n",
+       "`:return\"\\\\n\";case\"\\r\":return\"\\\\r\";case\"\\u2028\":return\"\\\\u2028\";case\"\\u2029\":return\"\\\\u2029\";default:throw new Error(\"Unexpected character\")}}),t)}});var gY=ye((xgr,N7e)=>{\"use strict\";var O7e=$2(),W9t=nF(),Z9t=R7e(),X9t=q7e(),B7e=function(e,t){return e.replace(\"%v\",X9t(t))};N7e.exports=function(e,t,r){if(!W9t(r))throw new TypeError(B7e(t,e));if(!O7e(e)){if(\"default\"in r)return r.default;if(r.isOptional)return null}var n=Z9t(r.errorMessage);throw O7e(n)||(n=t),new TypeError(B7e(n,e))}});var V7e=ye((bgr,U7e)=>{\"use strict\";var Y9t=gY(),K9t=$2();U7e.exports=function(e){return K9t(e)?e:Y9t(e,\"Cannot use %v\",arguments[1])}});var G7e=ye((wgr,H7e)=>{\"use strict\";var J9t=gY(),$9t=lY();H7e.exports=function(e){return $9t(e)?e:J9t(e,\"%v is not a plain function\",arguments[1])}});var W7e=ye((Tgr,j7e)=>{\"use strict\";j7e.exports=function(){var e=Array.from,t,r;return typeof 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U9e(e)}});var j9e=ye((Hgr,G9e)=>{\"use strict\";var Yqt=ck(),Kqt=uA(),Jqt=fk(),$qt=TY(),Qqt=Array.isArray,AY=Function.prototype.call,eOt=Array.prototype.some;G9e.exports=function(e,t){var r,n=arguments[2],i,a,o,s,l,u,c;if(Qqt(e)||Yqt(e)?r=\"array\":Jqt(e)?r=\"string\":e=$qt(e),Kqt(t),a=function(){o=!0},r===\"array\"){eOt.call(e,function(f){return AY.call(t,n,f,a),o});return}if(r===\"string\"){for(l=e.length,s=0;s<l&&(u=e[s],s+1<l&&(c=u.charCodeAt(0),c>=55296&&c<=56319&&(u+=e[++s])),AY.call(t,n,u,a),!o);++s);return}for(i=e.next();!i.done;){if(AY.call(t,n,i.value,a),o)return;i=e.next()}}});var Z9e=ye((Ggr,W9e)=>{\"use strict\";W9e.exports=function(){return typeof WeakMap!=\"function\"?!1:Object.prototype.toString.call(new WeakMap)===\"[object WeakMap]\"}()});var K9e=ye((jgr,Y9e)=>{\"use strict\";var tOt=sx(),fF=iF(),cF=TFe(),rOt=i1(),iOt=SFe(),a1=n1(),nOt=TY(),aOt=j9e(),oOt=lx().toStringTag,X9e=Z9e(),sOt=Array.isArray,MY=Object.defineProperty,SY=Object.prototype.hasOwnProperty,lOt=Object.getPrototypeOf,ux;Y9e.exports=ux=function(){var e=arguments[0],t;if(!(this instanceof ux))throw new TypeError(\"Constructor requires 'new'\");return t=X9e&&fF&&WeakMap!==ux?fF(new WeakMap,lOt(this)):this,tOt(e)&&(sOt(e)||(e=nOt(e))),MY(t,\"__weakMapData__\",a1(\"c\",\"$weakMap$\"+iOt())),e&&aOt(e,function(r){rOt(r),t.set(r[0],r[1])}),t};X9e&&(fF&&fF(ux,WeakMap),ux.prototype=Object.create(WeakMap.prototype,{constructor:a1(ux)}));Object.defineProperties(ux.prototype,{delete:a1(function(e){return SY.call(cF(e),this.__weakMapData__)?(delete e[this.__weakMapData__],!0):!1}),get:a1(function(e){if(SY.call(cF(e),this.__weakMapData__))return e[this.__weakMapData__]}),has:a1(function(e){return SY.call(cF(e),this.__weakMapData__)}),set:a1(function(e,t){return MY(cF(e),this.__weakMapData__,a1(\"c\",t)),this}),toString:a1(function(){return\"[object WeakMap]\"})});MY(ux.prototype,oOt,a1(\"c\",\"WeakMap\"))});var EY=ye((Wgr,J9e)=>{\"use strict\";J9e.exports=cFe()()?WeakMap:K9e()});var Q9e=ye((Zgr,$9e)=>{\"use strict\";$9e.exports=function(e,t,r){if(typeof Array.prototype.findIndex==\"function\")return e.findIndex(t,r);if(typeof t!=\"function\")throw new TypeError(\"predicate must be a function\");var n=Object(e),i=n.length;if(i===0)return-1;for(var a=0;a<i;a++)if(t.call(r,n[a],a,n))return a;return-1}});var LY=ye((Xgr,rqe)=>{\"use strict\";var hF=J_(),uOt=j2(),CY=bh(),cOt=Zm(),fOt=W2(),eqe=oFe(),hOt=lFe(),{float32:dOt,fract32:kY}=Xz(),vOt=EY(),tqe=eA(),pOt=Q9e(),gOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\n",
+       "attribute vec4 color;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "vec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n",
+       "\t// the order is important\n",
+       "\treturn position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineOffset = lineTop * 2. - 1.;\n",
+       "\n",
+       "\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n",
+       "\ttangent = normalize(diff * scale * viewport.zw);\n",
+       "\tvec2 normal = vec2(-tangent.y, tangent.x);\n",
+       "\n",
+       "\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n",
+       "\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n",
+       "\n",
+       "\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "}\n",
+       "`,mOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1.;\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`,yOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 position, positionFract;\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float pixelRatio, id;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "const float MAX_LINES = 256.;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n",
+       "\n",
+       "\tvec2 position = position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "\tfragColor.a *= opacity;\n",
+       "}\n",
+       "`,_Ot=`\n",
+       "precision highp float;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "\tgl_FragColor = fragColor;\n",
+       "}\n",
+       "`,xOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, nextCoord, prevCoord;\n",
+       "attribute vec4 aColor, bColor;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, translate;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float miterLimit, miterMode;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 tangent;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "const float REVERSE_THRESHOLD = -.875;\n",
+       "const float MIN_DIFF = 1e-6;\n",
+       "\n",
+       "// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n",
+       "// TODO: precalculate dot products, normalize things beforehead etc.\n",
+       "// TODO: refactor to rectangular algorithm\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "bool isNaN( float val ){\n",
+       "  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n",
+       "\n",
+       "  vec2 adjustedScale;\n",
+       "  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n",
+       "  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n",
+       "\n",
+       "  vec2 scaleRatio = adjustedScale * viewport.zw;\n",
+       "\tvec2 normalWidth = thickness / scaleRatio;\n",
+       "\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineBot = 1. - lineTop;\n",
+       "\n",
+       "\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n",
+       "\n",
+       "\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n",
+       "\n",
+       "\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n",
+       "\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n",
+       "\n",
+       "\n",
+       "\tvec2 prevDiff = aCoord - prevCoord;\n",
+       "\tvec2 currDiff = bCoord - aCoord;\n",
+       "\tvec2 nextDiff = nextCoord - bCoord;\n",
+       "\n",
+       "\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n",
+       "\tvec2 currTangent = normalize(currDiff * scaleRatio);\n",
+       "\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n",
+       "\n",
+       "\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n",
+       "\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n",
+       "\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n",
+       "\n",
+       "\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n",
+       "\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n",
+       "\n",
+       "\t// collapsed/unidirectional segment cases\n",
+       "\t// FIXME: there should be more elegant solution\n",
+       "\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n",
+       "\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n",
+       "\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tstartJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tendJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (aCoord == bCoord) {\n",
+       "\t\tendJoinDirection = startJoinDirection;\n",
+       "\t\tcurrNormal = prevNormal;\n",
+       "\t\tcurrTangent = prevTangent;\n",
+       "\t}\n",
+       "\n",
+       "\ttangent = currTangent;\n",
+       "\n",
+       "\t//calculate join shifts relative to normals\n",
+       "\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n",
+       "\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n",
+       "\n",
+       "\tfloat startMiterRatio = abs(1. / startJoinShift);\n",
+       "\tfloat endMiterRatio = abs(1. / endJoinShift);\n",
+       "\n",
+       "\tvec2 startJoin = startJoinDirection * startMiterRatio;\n",
+       "\tvec2 endJoin = endJoinDirection * endMiterRatio;\n",
+       "\n",
+       "\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n",
+       "\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n",
+       "\tstartBotJoin = -startTopJoin;\n",
+       "\n",
+       "\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n",
+       "\tendBotJoin = -endTopJoin;\n",
+       "\n",
+       "\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n",
+       "\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n",
+       "\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n",
+       "\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n",
+       "\n",
+       "\t//miter anti-clipping\n",
+       "\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n",
+       "\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n",
+       "\n",
+       "\t//prevent close to reverse direction switch\n",
+       "\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\n",
+       "\tif (prevReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n",
+       "\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\tbTopCoord -= normalWidth * endTopJoin;\n",
+       "\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tif (nextReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n",
+       "\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\taBotCoord -= normalWidth * startBotJoin;\n",
+       "\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\t//position is normalized 0..1 coord on the screen\n",
+       "\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n",
+       "\n",
+       "\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n",
+       "\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n",
+       "\n",
+       "\t//bevel miter cutoffs\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t//round miter cutoffs\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "}\n",
+       "`,bOt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1., distToStart, distToEnd;\n",
+       "\tfloat cutoff = thickness * .5;\n",
+       "\n",
+       "\t//bevel miter\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t// round miter\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`;rqe.exports=uc;function uc(e,t){if(!(this instanceof uc))return new uc(e,t);if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=e._gl,this.regl=e,this.passes=[],this.shaders=uc.shaders.has(e)?uc.shaders.get(e):uc.shaders.set(e,uc.createShaders(e)).get(e),this.update(t)}uc.dashMult=2;uc.maxPatternLength=256;uc.precisionThreshold=3e6;uc.maxPoints=1e4;uc.maxLines=2048;uc.shaders=new vOt;uc.createShaders=function(e){let t=e.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:e.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:(o,s)=>s.join===\"round\"?2:1,miterLimit:e.prop(\"miterLimit\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),thickness:e.prop(\"thickness\"),dashTexture:e.prop(\"dashTexture\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),dashLength:e.prop(\"dashLength\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight],depth:e.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:(o,s)=>!s.overlay},stencil:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\")},n=e(CY({vert:gOt,frag:mOt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r)),i;try{i=e(CY({cull:{enable:!0,face:\"back\"},vert:xOt,frag:bOt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(o){i=n}return{fill:e({primitive:\"triangle\",elements:(o,s)=>s.triangles,offset:0,vert:yOt,frag:_Ot,uniforms:{scale:e.prop(\"scale\"),color:e.prop(\"fill\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight]},attributes:{position:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:n,miter:i}};uc.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null};uc.prototype.render=function(...e){e.length&&this.update(...e),this.draw()};uc.prototype.draw=function(...e){return(e.length?e:this.passes).forEach((t,r)=>{if(t&&Array.isArray(t))return this.draw(...t);typeof t==\"number\"&&(t=this.passes[t]),t&&t.count>1&&t.opacity&&(this.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&this.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>uc.precisionThreshold||t.scale[1]*t.viewport.height>uc.precisionThreshold?this.shaders.rect(t):t.join===\"rect\"||!t.join&&(t.thickness<=2||t.count>=uc.maxPoints)?this.shaders.rect(t):this.shaders.miter(t)))}),this};uc.prototype.update=function(e){if(!e)return;e.length!=null?typeof e[0]==\"number\"&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);let{regl:t,gl:r}=this;if(e.forEach((i,a)=>{let o=this.passes[a];if(i!==void 0){if(i===null){this.passes[a]=null;return}if(typeof i[0]==\"number\"&&(i={positions:i}),i=cOt(i,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),o||(this.passes[a]=o={id:a,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:t.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},i=CY({},uc.defaults,i)),i.thickness!=null&&(o.thickness=parseFloat(i.thickness)),i.opacity!=null&&(o.opacity=parseFloat(i.opacity)),i.miterLimit!=null&&(o.miterLimit=parseFloat(i.miterLimit)),i.overlay!=null&&(o.overlay=!!i.overlay,a<uc.maxLines&&(o.depth=2*(uc.maxLines-1-a%uc.maxLines)/uc.maxLines-1)),i.join!=null&&(o.join=i.join),i.hole!=null&&(o.hole=i.hole),i.fill!=null&&(o.fill=i.fill?hF(i.fill,\"uint8\"):null),i.viewport!=null&&(o.viewport=tqe(i.viewport)),o.viewport||(o.viewport=tqe([r.drawingBufferWidth,r.drawingBufferHeight])),i.close!=null&&(o.close=i.close),i.positions===null&&(i.positions=[]),i.positions){let u,c;if(i.positions.x&&i.positions.y){let v=i.positions.x,x=i.positions.y;c=o.count=Math.max(v.length,x.length),u=new Float64Array(c*2);for(let b=0;b<c;b++)u[b*2]=v[b],u[b*2+1]=x[b]}else u=fOt(i.positions,\"float64\"),c=o.count=Math.floor(u.length/2);let f=o.bounds=uOt(u,2);if(o.fill){let v=[],x={},b=0;for(let g=0,E=0,k=o.count;g<k;g++){let A=u[g*2],L=u[g*2+1];isNaN(A)||isNaN(L)||A==null||L==null?(A=u[b*2],L=u[b*2+1],x[g]=b):b=g,v[E++]=A,v[E++]=L}if(i.splitNull){o.count-1 in x||(x[o.count]=o.count-1);let g=Object.keys(x).map(Number).sort((L,_)=>L-_),E=[],k=0,A=o.hole!=null?o.hole[0]:null;if(A!=null){let L=pOt(g,_=>_>=A);g=g.slice(0,L),g.push(A)}for(let L=0;L<g.length;L++){let _=v.slice(k*2,g[L]*2).concat(A?v.slice(A*2):[]),C=(o.hole||[]).map(p=>p-A+(g[L]-k)),M=eqe(_,C);M=M.map(p=>p+k+(p+k<g[L]?0:A-g[L])),E.push(...M),k=g[L]+1}for(let L=0,_=E.length;L<_;L++)x[E[L]]!=null&&(E[L]=x[E[L]]);o.triangles=E}else{let g=eqe(v,o.hole||[]);for(let E=0,k=g.length;E<k;E++)x[g[E]]!=null&&(g[E]=x[g[E]]);o.triangles=g}}let h=new Float64Array(u);hOt(h,2,f);let d=new 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v=0;v<i.dashes.length;++v){for(let x=0,b=i.dashes[v]*uc.dashMult*.5;x<b;++x)c[f++]=h;h^=255}}o.dashLength=u,o.dashTexture({channels:1,data:c,width:c.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(i.color){let u=o.count,c=i.color;c||(c=\"transparent\");let f=new Uint8Array(u*4+4);if(!Array.isArray(c)||typeof c[0]==\"number\"){let h=hF(c,\"uint8\");for(let d=0;d<u+1;d++)f.set(h,d*4)}else{for(let h=0;h<u;h++){let d=hF(c[h],\"uint8\");f.set(d,h*4)}f.set(hF(c[0],\"uint8\"),u*4)}o.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:f})}}}),e.length<this.passes.length){for(let i=e.length;i<this.passes.length;i++){let a=this.passes[i];a&&(a.colorBuffer.destroy(),a.positionBuffer.destroy(),a.dashTexture.destroy())}this.passes.length=e.length}let n=[];for(let i=0;i<this.passes.length;i++)this.passes[i]!==null&&n.push(this.passes[i]);return this.passes=n,this};uc.prototype.destroy=function(){return this.passes.forEach(e=>{e.colorBuffer.destroy(),e.positionBuffer.destroy(),e.dashTexture.destroy()}),this.passes.length=0,this}});var sqe=ye((Ygr,oqe)=>{\"use strict\";var wOt=j2(),TOt=J_(),AOt=JX(),SOt=Zm(),iqe=bh(),nqe=W2(),{float32:MOt,fract32:PY}=Xz();oqe.exports=EOt;var aqe=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]];function EOt(e,t){if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");let r=e._gl,n,i,a,o,s,l,u={color:\"black\",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},c=[];return o=e.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array(0)}),i=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),a=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),s=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),l=e.buffer({usage:\"static\",type:\"float\",data:aqe}),v(t),n=e({vert:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tattribute vec2 position, positionFract;\n",
+       "\t\tattribute vec4 error;\n",
+       "\t\tattribute vec4 color;\n",
+       "\n",
+       "\t\tattribute vec2 direction, lineOffset, capOffset;\n",
+       "\n",
+       "\t\tuniform vec4 viewport;\n",
+       "\t\tuniform float lineWidth, capSize;\n",
+       "\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tfragColor = color / 255.;\n",
+       "\n",
+       "\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n",
+       "\n",
+       "\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n",
+       "\n",
+       "\t\t\tvec2 position = position + dxy;\n",
+       "\n",
+       "\t\t\tvec2 pos = (position + translate) * scale\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scale\n",
+       "\t\t\t\t+ (position + translate) * scaleFract\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "\t\t\tpos += pixelOffset / viewport.zw;\n",
+       "\n",
+       "\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n",
+       "\t\t}\n",
+       "\t\t`,frag:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tuniform float opacity;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tgl_FragColor = fragColor;\n",
+       "\t\t\tgl_FragColor.a *= opacity;\n",
+       "\t\t}\n",
+       "\t\t`,uniforms:{range:e.prop(\"range\"),lineWidth:e.prop(\"lineWidth\"),capSize:e.prop(\"capSize\"),opacity:e.prop(\"opacity\"),scale:e.prop(\"scale\"),translate:e.prop(\"translate\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),viewport:(b,g)=>[g.viewport.x,g.viewport.y,b.viewportWidth,b.viewportHeight]},attributes:{color:{buffer:o,offset:(b,g)=>g.offset*4,divisor:1},position:{buffer:i,offset:(b,g)=>g.offset*8,divisor:1},positionFract:{buffer:a,offset:(b,g)=>g.offset*8,divisor:1},error:{buffer:s,offset:(b,g)=>g.offset*16,divisor:1},direction:{buffer:l,stride:24,offset:0},lineOffset:{buffer:l,stride:24,offset:8},capOffset:{buffer:l,stride:24,offset:16}},primitive:\"triangles\",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:!1,instances:e.prop(\"count\"),count:aqe.length}),iqe(f,{update:v,draw:h,destroy:x,regl:e,gl:r,canvas:r.canvas,groups:c}),f;function f(b){b?v(b):b===null&&x(),h()}function h(b){if(typeof b==\"number\")return d(b);b&&!Array.isArray(b)&&(b=[b]),e._refresh(),c.forEach((g,E)=>{if(g){if(b&&(b[E]?g.draw=!0:g.draw=!1),!g.draw){g.draw=!0;return}d(E)}})}function d(b){typeof b==\"number\"&&(b=c[b]),b!=null&&b&&b.count&&b.color&&b.opacity&&b.positions&&b.positions.length>1&&(b.scaleRatio=[b.scale[0]*b.viewport.width,b.scale[1]*b.viewport.height],n(b),b.after&&b.after(b))}function v(b){if(!b)return;b.length!=null?typeof b[0]==\"number\"&&(b=[{positions:b}]):Array.isArray(b)||(b=[b]);let g=0,E=0;if(f.groups=c=b.map((L,_)=>{let C=c[_];if(L)typeof L==\"function\"?L={after:L}:typeof L[0]==\"number\"&&(L={positions:L});else return C;return L=SOt(L,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),C||(c[_]=C={id:_,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},L=iqe({},u,L)),AOt(C,L,[{lineWidth:M=>+M*.5,capSize:M=>+M*.5,opacity:parseFloat,errors:M=>(M=nqe(M),E+=M.length,M),positions:(M,p)=>(M=nqe(M,\"float64\"),p.count=Math.floor(M.length/2),p.bounds=wOt(M,2),p.offset=g,g+=p.count,M)},{color:(M,p)=>{let P=p.count;if(M||(M=\"transparent\"),!Array.isArray(M)||typeof M[0]==\"number\"){let F=M;M=Array(P);for(let q=0;q<P;q++)M[q]=F}if(M.length<P)throw Error(\"Not enough colors\");let T=new Uint8Array(P*4);for(let F=0;F<P;F++){let q=TOt(M[F],\"uint8\");T.set(q,F*4)}return T},range:(M,p,P)=>{let T=p.bounds;return M||(M=T),p.scale=[1/(M[2]-M[0]),1/(M[3]-M[1])],p.translate=[-M[0],-M[1]],p.scaleFract=PY(p.scale),p.translateFract=PY(p.translate),M},viewport:M=>{let p;return Array.isArray(M)?p={x:M[0],y:M[1],width:M[2]-M[0],height:M[3]-M[1]}:M?(p={x:M.x||M.left||0,y:M.y||M.top||0},M.right?p.width=M.right-p.x:p.width=M.w||M.width||0,M.bottom?p.height=M.bottom-p.y:p.height=M.h||M.height||0):p={x:0,y:0,width:r.drawingBufferWidth,height:r.drawingBufferHeight},p}}]),C}),g||E){let L=c.reduce((p,P,T)=>p+(P?P.count:0),0),_=new Float64Array(L*2),C=new Uint8Array(L*4),M=new Float32Array(L*4);c.forEach((p,P)=>{if(!p)return;let{positions:T,count:F,offset:q,color:V,errors:H}=p;F&&(C.set(V,q*4),M.set(H,q*4),_.set(T,q*2))});var k=MOt(_);i(k);var A=PY(_,k);a(A),o(C),s(M)}}function x(){i.destroy(),a.destroy(),o.destroy(),s.destroy(),l.destroy()}}});var cqe=ye((Kgr,uqe)=>{var lqe=/[\\'\\\"]/;uqe.exports=function(t){return t?(lqe.test(t.charAt(0))&&(t=t.substr(1)),lqe.test(t.charAt(t.length-1))&&(t=t.substr(0,t.length-1)),t):\"\"}});var IY=ye(()=>{});var RY=ye(()=>{});var DY=ye(()=>{});var zY=ye(()=>{});var FY=ye(()=>{});var vqe=ye((smr,dqe)=>{\"use strict\";function fqe(e,t){if(typeof e!=\"string\")return[e];var r=[e];typeof t==\"string\"||Array.isArray(t)?t={brackets:t}:t||(t={});var n=t.brackets?Array.isArray(t.brackets)?t.brackets:[t.brackets]:[\"{}\",\"[]\",\"()\"],i=t.escape||\"___\",a=!!t.flat;n.forEach(function(l){var u=new RegExp([\"\\\\\",l[0],\"[^\\\\\",l[0],\"\\\\\",l[1],\"]*\\\\\",l[1]].join(\"\")),c=[];function f(h,d,v){var x=r.push(h.slice(l[0].length,-l[1].length))-1;return c.push(x),i+x+i}r.forEach(function(h,d){for(var v,x=0;h!=v;)if(v=h,h=h.replace(u,f),x++>1e4)throw Error(\"References have circular dependency. 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kOt=yqe();_qe.exports={isSize:function(t){return/^[\\d\\.]/.test(t)||t.indexOf(\"/\")!==-1||kOt.indexOf(t)!==-1}}});var Tqe=ye((hmr,wqe)=>{\"use strict\";var COt=cqe(),LOt=IY(),POt=RY(),IOt=DY(),ROt=zY(),DOt=FY(),BY=mqe(),zOt=OY().isSize;wqe.exports=bqe;var pk=bqe.cache={};function bqe(e){if(typeof e!=\"string\")throw new Error(\"Font argument must be a string.\");if(pk[e])return pk[e];if(e===\"\")throw new Error(\"Cannot parse an empty string.\");if(POt.indexOf(e)!==-1)return pk[e]={system:e};for(var t={style:\"normal\",variant:\"normal\",weight:\"normal\",stretch:\"normal\",lineHeight:\"normal\",size:\"1rem\",family:[\"serif\"]},r=BY(e,/\\s+/),n;n=r.shift();){if(LOt.indexOf(n)!==-1)return[\"style\",\"variant\",\"weight\",\"stretch\"].forEach(function(a){t[a]=n}),pk[e]=t;if(ROt.indexOf(n)!==-1){t.style=n;continue}if(n===\"normal\"||n===\"small-caps\"){t.variant=n;continue}if(DOt.indexOf(n)!==-1){t.stretch=n;continue}if(IOt.indexOf(n)!==-1){t.weight=n;continue}if(zOt(n)){var i=BY(n,\"/\");if(t.size=i[0],i[1]!=null?t.lineHeight=xqe(i[1]):r[0]===\"/\"&&(r.shift(),t.lineHeight=xqe(r.shift())),!r.length)throw new Error(\"Missing required font-family.\");return t.family=BY(r.join(\" \"),/\\s*,\\s*/).map(COt),pk[e]=t}throw new Error(\"Unknown or unsupported font token: \"+n)}throw new Error(\"Missing required font-size.\")}function xqe(e){var t=parseFloat(e);return t.toString()===e?t:e}});var UY=ye((dmr,Aqe)=>{\"use strict\";var FOt=Zm(),qOt=OY().isSize,OOt=mk(IY()),BOt=mk(RY()),NOt=mk(DY()),UOt=mk(zY()),VOt=mk(FY()),HOt={normal:1,\"small-caps\":1},GOt={serif:1,\"sans-serif\":1,monospace:1,cursive:1,fantasy:1,\"system-ui\":1},NY={style:\"normal\",variant:\"normal\",weight:\"normal\",stretch:\"normal\",size:\"1rem\",lineHeight:\"normal\",family:\"serif\"};Aqe.exports=function(t){if(t=FOt(t,{style:\"style fontstyle fontStyle font-style slope distinction\",variant:\"variant font-variant fontVariant fontvariant var capitalization\",weight:\"weight w font-weight 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Ie},unbind:function(){this.bindCount-=1},decRef:function(){--this.refCount<=0&&Y(this)}});function z(de,Ie){var $e=new ls(Ji);Hl[$e.id]=$e,Oi.textureCount++;function pt(Jt,vt){var Pt=$e.texInfo;El.call(Pt);var Wt=xs();return typeof Jt==\"number\"?typeof vt==\"number\"?Po(Wt,Jt|0,vt|0):Po(Wt,Jt|0,Jt|0):Jt?(bc(Pt,Jt),Jo(Wt,Jt)):Po(Wt,1,1),Pt.genMipmaps&&(Wt.mipmask=(Wt.width<<1)-1),$e.mipmask=Wt.mipmask,vn($e,Wt),$e.internalformat=Wt.internalformat,pt.width=Wt.width,pt.height=Wt.height,_f($e),Xl(Wt,Ji),wc(Pt,Ji),ns(),Qc(Wt),Bi.profile&&($e.stats.size=Wc($e.internalformat,$e.type,Wt.width,Wt.height,Pt.genMipmaps,!1)),pt.format=Ln[$e.internalformat],pt.type=Un[$e.type],pt.mag=gn[Pt.magFilter],pt.min=ca[Pt.minFilter],pt.wrapS=Kn[Pt.wrapS],pt.wrapT=Kn[Pt.wrapT],pt}function Kt(Jt,vt,Pt,Wt){var rr=vt|0,dr=Pt|0,pr=Wt|0,kr=Jn();return 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dr==\"object\")if(pr)Jo(vt[0],dr),Jo(vt[1],pr),Jo(vt[2],kr),Jo(vt[3],Ar),Jo(vt[4],gr),Jo(vt[5],Cr);else if(bc(Gr,dr),Aa(Jt,dr),\"faces\"in dr){var yi=dr.faces;for(cr=0;cr<6;++cr)vn(vt[cr],Jt),Jo(vt[cr],yi[cr])}else for(cr=0;cr<6;++cr)Jo(vt[cr],dr);for(vn(Jt,vt[0]),Gr.genMipmaps?Jt.mipmask=(vt[0].width<<1)-1:Jt.mipmask=vt[0].mipmask,Jt.internalformat=vt[0].internalformat,Pt.width=vt[0].width,Pt.height=vt[0].height,_f(Jt),cr=0;cr<6;++cr)Xl(vt[cr],Fn+cr);for(wc(Gr,ua),ns(),Bi.profile&&(Jt.stats.size=Wc(Jt.internalformat,Jt.type,Pt.width,Pt.height,Gr.genMipmaps,!0)),Pt.format=Ln[Jt.internalformat],Pt.type=Un[Jt.type],Pt.mag=gn[Gr.magFilter],Pt.min=ca[Gr.minFilter],Pt.wrapS=Kn[Gr.wrapS],Pt.wrapT=Kn[Gr.wrapT],cr=0;cr<6;++cr)Qc(vt[cr]);return Pt}function Wt(dr,pr,kr,Ar,gr){var Cr=kr|0,cr=Ar|0,Gr=gr|0,ei=Jn();return vn(ei,Jt),ei.width=0,ei.height=0,Vn(ei,pr),ei.width=ei.width||(Jt.width>>Gr)-Cr,ei.height=ei.height||(Jt.height>>Gr)-cr,_f(Jt),ro(ei,Fn+dr,Cr,cr,Gr),ns(),Oa(ei),Pt}function rr(dr){var pr=dr|0;if(pr!==Jt.width){Pt.width=Jt.width=pr,Pt.height=Jt.height=pr,_f(Jt);for(var kr=0;kr<6;++kr)for(var Ar=0;Jt.mipmask>>Ar;++Ar)At.texImage2D(Fn+kr,Ar,Jt.format,pr>>Ar,pr>>Ar,0,Jt.format,Jt.type,null);return ns(),Bi.profile&&(Jt.stats.size=Wc(Jt.internalformat,Jt.type,Pt.width,Pt.height,!1,!0)),Pt}}return Pt(de,Ie,$e,pt,Kt,ir),Pt.subimage=Wt,Pt.resize=rr,Pt._reglType=\"textureCube\",Pt._texture=Jt,Bi.profile&&(Pt.stats=Jt.stats),Pt.destroy=function(){Jt.decRef()},Pt}function O(){for(var de=0;de<Fc;++de)At.activeTexture(Cc+de),At.bindTexture(Ji,null),ef[de]=null;ut(Hl).forEach(Y),Oi.cubeCount=0,Oi.textureCount=0}Bi.profile&&(Oi.getTotalTextureSize=function(){var de=0;return Object.keys(Hl).forEach(function(Ie){de+=Hl[Ie].stats.size}),de});function $(){for(var de=0;de<Fc;++de){var Ie=ef[de];Ie&&(Ie.bindCount=0,Ie.unit=-1,ef[de]=null)}ut(Hl).forEach(function($e){$e.texture=At.createTexture(),At.bindTexture($e.target,$e.texture);for(var pt=0;pt<32;++pt)if($e.mipmask&1<<pt)if($e.target===Ji)At.texImage2D(Ji,pt,$e.internalformat,$e.width>>pt,$e.height>>pt,0,$e.internalformat,$e.type,null);else for(var Kt=0;Kt<6;++Kt)At.texImage2D(Fn+Kt,pt,$e.internalformat,$e.width>>pt,$e.height>>pt,0,$e.internalformat,$e.type,null);wc($e.texInfo,$e.target)})}function pe(){for(var de=0;de<Fc;++de){var Ie=ef[de];Ie&&(Ie.bindCount=0,Ie.unit=-1,ef[de]=null),At.activeTexture(Cc+de),At.bindTexture(Ji,null),At.bindTexture(ua,null)}}return{create2D:z,createCube:K,clear:O,getTexture:function(de){return null},restore:$,refresh:pe}}var Cu=36161,Nf=32854,Zc=32855,ds=36194,Ch=33189,Bd=36168,Jh=34041,Cf=35907,pd=34836,Lu=34842,$h=34843,eu=[];eu[Nf]=2,eu[Zc]=2,eu[ds]=2,eu[Ch]=2,eu[Bd]=1,eu[Jh]=4,eu[Cf]=4,eu[pd]=16,eu[Lu]=8,eu[$h]=6;function Pu(At,Er,Wr){return eu[At]*Er*Wr}var Lc=function(At,Er,Wr,wi,Ui){var Oi={rgba4:Nf,rgb565:ds,\"rgb5 a1\":Zc,depth:Ch,stencil:Bd,\"depth stencil\":Jh};Er.ext_srgb&&(Oi.srgba=Cf),Er.ext_color_buffer_half_float&&(Oi.rgba16f=Lu,Oi.rgb16f=$h),Er.webgl_color_buffer_float&&(Oi.rgba32f=pd);var Bi=[];Object.keys(Oi).forEach(function(Dn){var fn=Oi[Dn];Bi[fn]=Dn});var cn=0,On={};function Bn(Dn){this.id=cn++,this.refCount=1,this.renderbuffer=Dn,this.format=Nf,this.width=0,this.height=0,Ui.profile&&(this.stats={size:0})}Bn.prototype.decRef=function(){--this.refCount<=0&&yn(this)};function yn(Dn){var fn=Dn.renderbuffer;At.bindRenderbuffer(Cu,null),At.deleteRenderbuffer(fn),Dn.renderbuffer=null,Dn.refCount=0,delete On[Dn.id],wi.renderbufferCount--}function to(Dn,fn){var Ai=new Bn(At.createRenderbuffer());On[Ai.id]=Ai,wi.renderbufferCount++;function ji(Un,gn){var ca=0,Kn=0,Za=Nf;if(typeof Un==\"object\"&&Un){var wn=Un;if(\"shape\"in wn){var vn=wn.shape;ca=vn[0]|0,Kn=vn[1]|0}else\"radius\"in wn&&(ca=Kn=wn.radius|0),\"width\"in wn&&(ca=wn.width|0),\"height\"in wn&&(Kn=wn.height|0);\"format\"in wn&&(Za=Oi[wn.format])}else typeof Un==\"number\"?(ca=Un|0,typeof gn==\"number\"?Kn=gn|0:Kn=ca):Un||(ca=Kn=1);if(!(ca===Ai.width&&Kn===Ai.height&&Za===Ai.format))return ji.width=Ai.width=ca,ji.height=Ai.height=Kn,Ai.format=Za,At.bindRenderbuffer(Cu,Ai.renderbuffer),At.renderbufferStorage(Cu,Za,ca,Kn),Ui.profile&&(Ai.stats.size=Pu(Ai.format,Ai.width,Ai.height)),ji.format=Bi[Ai.format],ji}function Ln(Un,gn){var ca=Un|0,Kn=gn|0||ca;return ca===Ai.width&&Kn===Ai.height||(ji.width=Ai.width=ca,ji.height=Ai.height=Kn,At.bindRenderbuffer(Cu,Ai.renderbuffer),At.renderbufferStorage(Cu,Ai.format,ca,Kn),Ui.profile&&(Ai.stats.size=Pu(Ai.format,Ai.width,Ai.height))),ji}return ji(Dn,fn),ji.resize=Ln,ji._reglType=\"renderbuffer\",ji._renderbuffer=Ai,Ui.profile&&(ji.stats=Ai.stats),ji.destroy=function(){Ai.decRef()},ji}Ui.profile&&(wi.getTotalRenderbufferSize=function(){var Dn=0;return Object.keys(On).forEach(function(fn){Dn+=On[fn].stats.size}),Dn});function Rn(){ut(On).forEach(function(Dn){Dn.renderbuffer=At.createRenderbuffer(),At.bindRenderbuffer(Cu,Dn.renderbuffer),At.renderbufferStorage(Cu,Dn.format,Dn.width,Dn.height)}),At.bindRenderbuffer(Cu,null)}return{create:to,clear:function(){ut(On).forEach(yn)},restore:Rn}},fl=36160,Xc=36161,ic=3553,yu=34069,Qs=36064,Qh=36096,gd=36128,Gu=33306,Pc=36053,vc=36193,sv=5121,Lf=5126,Uf=6407,Iu=6408,oh=[];oh[Iu]=4,oh[Uf]=3;var tu=[];tu[sv]=1,tu[Lf]=4,tu[vc]=2;function vf(At,Er,Wr,wi,Ui,Oi){var Bi={cur:null,next:null,dirty:!1,setFBO:null},cn=[\"rgba\"],On=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];Er.ext_srgb&&On.push(\"srgba\"),Er.ext_color_buffer_half_float&&On.push(\"rgba16f\",\"rgb16f\"),Er.webgl_color_buffer_float&&On.push(\"rgba32f\");var Bn=[\"uint8\"];Er.oes_texture_half_float&&Bn.push(\"half float\",\"float16\"),Er.oes_texture_float&&Bn.push(\"float\",\"float32\");function yn(Xn,Vn,ma){this.target=Xn,this.texture=Vn,this.renderbuffer=ma;var ro=0,Ao=0;Vn?(ro=Vn.width,Ao=Vn.height):ma&&(ro=ma.width,Ao=ma.height),this.width=ro,this.height=Ao}function to(Xn){Xn&&(Xn.texture&&Xn.texture._texture.decRef(),Xn.renderbuffer&&Xn.renderbuffer._renderbuffer.decRef())}function Rn(Xn,Vn,ma){if(Xn)if(Xn.texture){var ro=Xn.texture._texture,Ao=Math.max(1,ro.width),Jn=Math.max(1,ro.height);ro.refCount+=1}else{var Oa=Xn.renderbuffer._renderbuffer;Oa.refCount+=1}}function Dn(Xn,Vn){Vn&&(Vn.texture?At.framebufferTexture2D(fl,Xn,Vn.target,Vn.texture._texture.texture,0):At.framebufferRenderbuffer(fl,Xn,Xc,Vn.renderbuffer._renderbuffer.renderbuffer))}function fn(Xn){var Vn=ic,ma=null,ro=null,Ao=Xn;typeof Xn==\"object\"&&(Ao=Xn.data,\"target\"in Xn&&(Vn=Xn.target|0));var Jn=Ao._reglType;return Jn===\"texture2d\"||Jn===\"textureCube\"?ma=Ao:Jn===\"renderbuffer\"&&(ro=Ao,Vn=Xc),new yn(Vn,ma,ro)}function Ai(Xn,Vn,ma,ro,Ao){if(ma){var Jn=wi.create2D({width:Xn,height:Vn,format:ro,type:Ao});return Jn._texture.refCount=0,new yn(ic,Jn,null)}else{var Oa=Ui.create({width:Xn,height:Vn,format:ro});return Oa._renderbuffer.refCount=0,new yn(Xc,null,Oa)}}function ji(Xn){return Xn&&(Xn.texture||Xn.renderbuffer)}function Ln(Xn,Vn,ma){Xn&&(Xn.texture?Xn.texture.resize(Vn,ma):Xn.renderbuffer&&Xn.renderbuffer.resize(Vn,ma),Xn.width=Vn,Xn.height=ma)}var Un=0,gn={};function ca(){this.id=Un++,gn[this.id]=this,this.framebuffer=At.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Kn(Xn){Xn.colorAttachments.forEach(to),to(Xn.depthAttachment),to(Xn.stencilAttachment),to(Xn.depthStencilAttachment)}function Za(Xn){var Vn=Xn.framebuffer;At.deleteFramebuffer(Vn),Xn.framebuffer=null,Oi.framebufferCount--,delete gn[Xn.id]}function wn(Xn){var Vn;At.bindFramebuffer(fl,Xn.framebuffer);var ma=Xn.colorAttachments;for(Vn=0;Vn<ma.length;++Vn)Dn(Qs+Vn,ma[Vn]);for(Vn=ma.length;Vn<Wr.maxColorAttachments;++Vn)At.framebufferTexture2D(fl,Qs+Vn,ic,null,0);At.framebufferTexture2D(fl,Gu,ic,null,0),At.framebufferTexture2D(fl,Qh,ic,null,0),At.framebufferTexture2D(fl,gd,ic,null,0),Dn(Qh,Xn.depthAttachment),Dn(gd,Xn.stencilAttachment),Dn(Gu,Xn.depthStencilAttachment);var ro=At.checkFramebufferStatus(fl);At.isContextLost(),At.bindFramebuffer(fl,Bi.next?Bi.next.framebuffer:null),Bi.cur=Bi.next,At.getError()}function vn(Xn,Vn){var ma=new ca;Oi.framebufferCount++;function ro(Jn,Oa){var _o,Po=0,Jo=0,Xl=!0,$c=!0,xs=null,Qc=!0,El=\"rgba\",bc=\"uint8\",wc=1,yf=null,Hl=null,Fc=null,ef=!1;if(typeof Jn==\"number\")Po=Jn|0,Jo=Oa|0||Po;else if(!Jn)Po=Jo=1;else{var ls=Jn;if(\"shape\"in ls){var _f=ls.shape;Po=_f[0],Jo=_f[1]}else\"radius\"in ls&&(Po=Jo=ls.radius),\"width\"in ls&&(Po=ls.width),\"height\"in ls&&(Jo=ls.height);(\"color\"in ls||\"colors\"in ls)&&(xs=ls.color||ls.colors,Array.isArray(xs)),xs||(\"colorCount\"in ls&&(wc=ls.colorCount|0),\"colorTexture\"in ls&&(Qc=!!ls.colorTexture,El=\"rgba4\"),\"colorType\"in ls&&(bc=ls.colorType,Qc||(bc===\"half float\"||bc===\"float16\"?El=\"rgba16f\":(bc===\"float\"||bc===\"float32\")&&(El=\"rgba32f\"))),\"colorFormat\"in ls&&(El=ls.colorFormat,cn.indexOf(El)>=0?Qc=!0:On.indexOf(El)>=0&&(Qc=!1))),(\"depthTexture\"in ls||\"depthStencilTexture\"in ls)&&(ef=!!(ls.depthTexture||ls.depthStencilTexture)),\"depth\"in ls&&(typeof ls.depth==\"boolean\"?Xl=ls.depth:(yf=ls.depth,$c=!1)),\"stencil\"in ls&&(typeof ls.stencil==\"boolean\"?$c=ls.stencil:(Hl=ls.stencil,Xl=!1)),\"depthStencil\"in ls&&(typeof ls.depthStencil==\"boolean\"?Xl=$c=ls.depthStencil:(Fc=ls.depthStencil,Xl=!1,$c=!1))}var ns=null,Y=null,z=null,K=null;if(Array.isArray(xs))ns=xs.map(fn);else if(xs)ns=[fn(xs)];else for(ns=new Array(wc),_o=0;_o<wc;++_o)ns[_o]=Ai(Po,Jo,Qc,El,bc);Po=Po||ns[0].width,Jo=Jo||ns[0].height,yf?Y=fn(yf):Xl&&!$c&&(Y=Ai(Po,Jo,ef,\"depth\",\"uint32\")),Hl?z=fn(Hl):$c&&!Xl&&(z=Ai(Po,Jo,!1,\"stencil\",\"uint8\")),Fc?K=fn(Fc):!yf&&!Hl&&$c&&Xl&&(K=Ai(Po,Jo,ef,\"depth stencil\",\"depth stencil\"));var O=null;for(_o=0;_o<ns.length;++_o)if(Rn(ns[_o],Po,Jo),ns[_o]&&ns[_o].texture){var $=oh[ns[_o].texture._texture.format]*tu[ns[_o].texture._texture.type];O===null&&(O=$)}return Rn(Y,Po,Jo),Rn(z,Po,Jo),Rn(K,Po,Jo),Kn(ma),ma.width=Po,ma.height=Jo,ma.colorAttachments=ns,ma.depthAttachment=Y,ma.stencilAttachment=z,ma.depthStencilAttachment=K,ro.color=ns.map(ji),ro.depth=ji(Y),ro.stencil=ji(z),ro.depthStencil=ji(K),ro.width=ma.width,ro.height=ma.height,wn(ma),ro}function Ao(Jn,Oa){var _o=Math.max(Jn|0,1),Po=Math.max(Oa|0||_o,1);if(_o===ma.width&&Po===ma.height)return ro;for(var Jo=ma.colorAttachments,Xl=0;Xl<Jo.length;++Xl)Ln(Jo[Xl],_o,Po);return Ln(ma.depthAttachment,_o,Po),Ln(ma.stencilAttachment,_o,Po),Ln(ma.depthStencilAttachment,_o,Po),ma.width=ro.width=_o,ma.height=ro.height=Po,wn(ma),ro}return ro(Xn,Vn),e(ro,{resize:Ao,_reglType:\"framebuffer\",_framebuffer:ma,destroy:function(){Za(ma),Kn(ma)},use:function(Jn){Bi.setFBO({framebuffer:ro},Jn)}})}function Aa(Xn){var Vn=Array(6);function ma(Ao){var Jn,Oa={color:null},_o=0,Po=null,Jo=\"rgba\",Xl=\"uint8\",$c=1;if(typeof Ao==\"number\")_o=Ao|0;else if(!Ao)_o=1;else{var xs=Ao;if(\"shape\"in xs){var Qc=xs.shape;_o=Qc[0]}else\"radius\"in xs&&(_o=xs.radius|0),\"width\"in xs?(_o=xs.width|0,\"height\"in xs):\"height\"in xs&&(_o=xs.height|0);(\"color\"in xs||\"colors\"in xs)&&(Po=xs.color||xs.colors,Array.isArray(Po)),Po||(\"colorCount\"in xs&&($c=xs.colorCount|0),\"colorType\"in xs&&(Xl=xs.colorType),\"colorFormat\"in xs&&(Jo=xs.colorFormat)),\"depth\"in xs&&(Oa.depth=xs.depth),\"stencil\"in xs&&(Oa.stencil=xs.stencil),\"depthStencil\"in xs&&(Oa.depthStencil=xs.depthStencil)}var El;if(Po)if(Array.isArray(Po))for(El=[],Jn=0;Jn<Po.length;++Jn)El[Jn]=Po[Jn];else El=[Po];else{El=Array($c);var bc={radius:_o,format:Jo,type:Xl};for(Jn=0;Jn<$c;++Jn)El[Jn]=wi.createCube(bc)}for(Oa.color=Array(El.length),Jn=0;Jn<El.length;++Jn){var wc=El[Jn];_o=_o||wc.width,Oa.color[Jn]={target:yu,data:El[Jn]}}for(Jn=0;Jn<6;++Jn){for(var yf=0;yf<El.length;++yf)Oa.color[yf].target=yu+Jn;Jn>0&&(Oa.depth=Vn[0].depth,Oa.stencil=Vn[0].stencil,Oa.depthStencil=Vn[0].depthStencil),Vn[Jn]?Vn[Jn](Oa):Vn[Jn]=vn(Oa)}return e(ma,{width:_o,height:_o,color:El})}function ro(Ao){var Jn,Oa=Ao|0;if(Oa===ma.width)return ma;var _o=ma.color;for(Jn=0;Jn<_o.length;++Jn)_o[Jn].resize(Oa);for(Jn=0;Jn<6;++Jn)Vn[Jn].resize(Oa);return ma.width=ma.height=Oa,ma}return ma(Xn),e(ma,{faces:Vn,resize:ro,_reglType:\"framebufferCube\",destroy:function(){Vn.forEach(function(Ao){Ao.destroy()})}})}function aa(){Bi.cur=null,Bi.next=null,Bi.dirty=!0,ut(gn).forEach(function(Xn){Xn.framebuffer=At.createFramebuffer(),wn(Xn)})}return e(Bi,{getFramebuffer:function(Xn){if(typeof Xn==\"function\"&&Xn._reglType===\"framebuffer\"){var Vn=Xn._framebuffer;if(Vn instanceof ca)return Vn}return null},create:vn,createCube:Aa,clear:function(){ut(gn).forEach(Za)},restore:aa})}var md=5126,sh=34962,Fs=34963;function _u(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=md,this.offset=0,this.stride=0,this.divisor=0}function xu(At,Er,Wr,wi,Ui,Oi,Bi){for(var cn=Wr.maxAttributes,On=new Array(cn),Bn=0;Bn<cn;++Bn)On[Bn]=new _u;var yn=0,to={},Rn={Record:_u,scope:{},state:On,currentVAO:null,targetVAO:null,restore:fn()?Kn:function(){},createVAO:Za,getVAO:ji,destroyBuffer:Dn,setVAO:fn()?Ln:Un,clear:fn()?gn:function(){}};function Dn(wn){for(var vn=0;vn<On.length;++vn){var Aa=On[vn];Aa.buffer===wn&&(At.disableVertexAttribArray(vn),Aa.buffer=null)}}function fn(){return Er.oes_vertex_array_object}function Ai(){return Er.angle_instanced_arrays}function ji(wn){return typeof wn==\"function\"&&wn._vao?wn._vao:null}function Ln(wn){if(wn!==Rn.currentVAO){var vn=fn();wn?vn.bindVertexArrayOES(wn.vao):vn.bindVertexArrayOES(null),Rn.currentVAO=wn}}function Un(wn){if(wn!==Rn.currentVAO){if(wn)wn.bindAttrs();else{for(var vn=Ai(),Aa=0;Aa<On.length;++Aa){var aa=On[Aa];aa.buffer?(At.enableVertexAttribArray(Aa),aa.buffer.bind(),At.vertexAttribPointer(Aa,aa.size,aa.type,aa.normalized,aa.stride,aa.offfset),vn&&aa.divisor&&vn.vertexAttribDivisorANGLE(Aa,aa.divisor)):(At.disableVertexAttribArray(Aa),At.vertexAttrib4f(Aa,aa.x,aa.y,aa.z,aa.w))}Bi.elements?At.bindBuffer(Fs,Bi.elements.buffer.buffer):At.bindBuffer(Fs,null)}Rn.currentVAO=wn}}function gn(){ut(to).forEach(function(wn){wn.destroy()})}function ca(){this.id=++yn,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var wn=fn();wn?this.vao=wn.createVertexArrayOES():this.vao=null,to[this.id]=this,this.buffers=[]}ca.prototype.bindAttrs=function(){for(var wn=Ai(),vn=this.attributes,Aa=0;Aa<vn.length;++Aa){var aa=vn[Aa];aa.buffer?(At.enableVertexAttribArray(Aa),At.bindBuffer(sh,aa.buffer.buffer),At.vertexAttribPointer(Aa,aa.size,aa.type,aa.normalized,aa.stride,aa.offset),wn&&aa.divisor&&wn.vertexAttribDivisorANGLE(Aa,aa.divisor)):(At.disableVertexAttribArray(Aa),At.vertexAttrib4f(Aa,aa.x,aa.y,aa.z,aa.w))}for(var Xn=vn.length;Xn<cn;++Xn)At.disableVertexAttribArray(Xn);var Vn=Oi.getElements(this.elements);Vn?At.bindBuffer(Fs,Vn.buffer.buffer):At.bindBuffer(Fs,null)},ca.prototype.refresh=function(){var wn=fn();wn&&(wn.bindVertexArrayOES(this.vao),this.bindAttrs(),Rn.currentVAO=null,wn.bindVertexArrayOES(null))},ca.prototype.destroy=function(){if(this.vao){var wn=fn();this===Rn.currentVAO&&(Rn.currentVAO=null,wn.bindVertexArrayOES(null)),wn.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),to[this.id]&&(delete to[this.id],wi.vaoCount-=1)};function Kn(){var wn=fn();wn&&ut(to).forEach(function(vn){vn.refresh()})}function Za(wn){var vn=new ca;wi.vaoCount+=1;function Aa(aa){var Xn;if(Array.isArray(aa))Xn=aa,vn.elements&&vn.ownsElements&&vn.elements.destroy(),vn.elements=null,vn.ownsElements=!1,vn.offset=0,vn.count=0,vn.instances=-1,vn.primitive=4;else{if(aa.elements){var Vn=aa.elements;vn.ownsElements?typeof Vn==\"function\"&&Vn._reglType===\"elements\"?(vn.elements.destroy(),vn.ownsElements=!1):(vn.elements(Vn),vn.ownsElements=!1):Oi.getElements(aa.elements)?(vn.elements=aa.elements,vn.ownsElements=!1):(vn.elements=Oi.create(aa.elements),vn.ownsElements=!0)}else 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Ai=At.deleteShader.bind(At);ut(Ui).forEach(Ai),Ui={},ut(Oi).forEach(Ai),Oi={},yn.forEach(function(ji){At.deleteProgram(ji.program)}),yn.length=0,Bn={},Wr.shaderCount=0},program:function(Ai,ji,Ln,Un){var gn=Bn[ji];gn||(gn=Bn[ji]={});var ca=gn[Ai];if(ca&&(ca.refCount++,!Un))return ca;var Kn=new Rn(ji,Ai);return Wr.shaderCount++,Dn(Kn,Ln,Un),ca||(gn[Ai]=Kn),yn.push(Kn),e(Kn,{destroy:function(){if(Kn.refCount--,Kn.refCount<=0){At.deleteProgram(Kn.program);var Za=yn.indexOf(Kn);yn.splice(Za,1),Wr.shaderCount--}gn[Kn.vertId].refCount<=0&&(At.deleteShader(Oi[Kn.vertId]),delete Oi[Kn.vertId],delete Bn[Kn.fragId][Kn.vertId]),Object.keys(Bn[Kn.fragId]).length||(At.deleteShader(Ui[Kn.fragId]),delete Ui[Kn.fragId],delete Bn[Kn.fragId])}})},restore:fn,shader:On,frag:-1,vert:-1}}var Vf=6408,pc=5121,pf=3333,Ph=5126;function Rl(At,Er,Wr,wi,Ui,Oi,Bi){function cn(yn){var to;Er.next===null?to=pc:to=Er.next.colorAttachments[0].texture._texture.type;var 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Er=Ih?\"0123456789ABCDEF\":\"0123456789abcdef\",Wr=\"\",wi,Ui=0;Ui<At.length;Ui++)wi=At.charCodeAt(Ui),Wr+=Er.charAt(wi>>>4&15)+Er.charAt(wi&15);return Wr}function mc(At){for(var Er=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Wr=\"\",wi=At.length,Ui=0;Ui<wi;Ui+=3)for(var Oi=At.charCodeAt(Ui)<<16|(Ui+1<wi?At.charCodeAt(Ui+1)<<8:0)|(Ui+2<wi?At.charCodeAt(Ui+2):0),Bi=0;Bi<4;Bi++)Ui*8+Bi*6>At.length*8?Wr+=Wu:Wr+=Er.charAt(Oi>>>6*(3-Bi)&63);return Wr}function Yc(At,Er){var Wr=Er.length,wi=Array(),Ui,Oi,Bi,cn,On=Array(Math.ceil(At.length/2));for(Ui=0;Ui<On.length;Ui++)On[Ui]=At.charCodeAt(Ui*2)<<8|At.charCodeAt(Ui*2+1);for(;On.length>0;){for(cn=Array(),Bi=0,Ui=0;Ui<On.length;Ui++)Bi=(Bi<<16)+On[Ui],Oi=Math.floor(Bi/Wr),Bi-=Oi*Wr,(cn.length>0||Oi>0)&&(cn[cn.length]=Oi);wi[wi.length]=Bi,On=cn}var Bn=\"\";for(Ui=wi.length-1;Ui>=0;Ui--)Bn+=Er.charAt(wi[Ui]);var yn=Math.ceil(At.length*8/(Math.log(Er.length)/Math.log(2)));for(Ui=Bn.length;Ui<yn;Ui++)Bn=Er[0]+Bn;return 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ro={gl:At,context:Rn,strings:Er,next:Za,current:Kn,draw:to,elements:Oi,buffer:Ui,shader:yn,attributes:Bn.state,vao:Bn,uniforms:On,framebuffer:cn,extensions:Wr,timer:Dn,isBufferArgs:vi},Ao={primTypes:Ki,compareFuncs:qr,blendFuncs:ui,blendEquations:Ln,stencilOps:Kr,glTypes:bi,orientationType:ii};gn&&(Ao.backBuffer=[oe],Ao.drawBuffer=M(wi.maxDrawbuffers,function(vt){return vt===0?[0]:M(vt,function(Pt){return oi+Pt})}));var Jn=0;function Oa(){var vt=Pn({cache:fn}),Pt=vt.link,Wt=vt.global;vt.id=Jn++,vt.batchId=\"0\";var rr=Pt(ro),dr=vt.shared={props:\"a0\"};Object.keys(ro).forEach(function(Cr){dr[Cr]=Wt.def(rr,\".\",Cr)});var pr=vt.next={},kr=vt.current={};Object.keys(Aa).forEach(function(Cr){Array.isArray(Kn[Cr])&&(pr[Cr]=Wt.def(dr.next,\".\",Cr),kr[Cr]=Wt.def(dr.current,\".\",Cr))});var Ar=vt.constants={};Object.keys(Ao).forEach(function(Cr){Ar[Cr]=Wt.def(JSON.stringify(Ao[Cr]))}),vt.invoke=function(Cr,cr){switch(cr.type){case Cn:var Gr=[\"this\",dr.context,dr.props,vt.batchId];return Cr.def(Pt(cr.data),\".call(\",Gr.slice(0,Math.max(cr.data.length+1,4)),\")\");case sn:return Cr.def(dr.props,cr.data);case Ua:return Cr.def(dr.context,cr.data);case mo:return Cr.def(\"this\",cr.data);case Xo:return cr.data.append(vt,Cr),cr.data.ref;case Ts:return cr.data.toString();case Qo:return cr.data.map(function(ei){return vt.invoke(Cr,ei)})}},vt.attribCache={};var gr={};return vt.scopeAttrib=function(Cr){var cr=Er.id(Cr);if(cr in gr)return gr[cr];var Gr=Bn.scope[cr];Gr||(Gr=Bn.scope[cr]=new ji);var ei=gr[cr]=Pt(Gr);return ei},vt}function _o(vt){var Pt=vt.static,Wt=vt.dynamic,rr;if(se in Pt){var dr=!!Pt[se];rr=dn(function(kr,Ar){return dr}),rr.enable=dr}else if(se in Wt){var pr=Wt[se];rr=En(pr,function(kr,Ar){return kr.invoke(Ar,pr)})}return rr}function Po(vt,Pt){var Wt=vt.static,rr=vt.dynamic;if(qe in Wt){var dr=Wt[qe];return dr?(dr=cn.getFramebuffer(dr),dn(function(kr,Ar){var gr=kr.link(dr),Cr=kr.shared;Ar.set(Cr.framebuffer,\".next\",gr);var cr=Cr.context;return Ar.set(cr,\".\"+Oe,gr+\".width\"),Ar.set(cr,\".\"+Je,gr+\".height\"),gr})):dn(function(kr,Ar){var gr=kr.shared;Ar.set(gr.framebuffer,\".next\",\"null\");var Cr=gr.context;return Ar.set(Cr,\".\"+Oe,Cr+\".\"+Dt),Ar.set(Cr,\".\"+Je,Cr+\".\"+Ut),\"null\"})}else if(qe in rr){var pr=rr[qe];return En(pr,function(kr,Ar){var gr=kr.invoke(Ar,pr),Cr=kr.shared,cr=Cr.framebuffer,Gr=Ar.def(cr,\".getFramebuffer(\",gr,\")\");Ar.set(cr,\".next\",Gr);var ei=Cr.context;return Ar.set(ei,\".\"+Oe,Gr+\"?\"+Gr+\".width:\"+ei+\".\"+Dt),Ar.set(ei,\".\"+Je,Gr+\"?\"+Gr+\".height:\"+ei+\".\"+Ut),Gr})}else return null}function Jo(vt,Pt,Wt){var rr=vt.static,dr=vt.dynamic;function pr(gr){if(gr in rr){var Cr=rr[gr],cr=!0,Gr=Cr.x|0,ei=Cr.y|0,yi,tn;return\"width\"in Cr?yi=Cr.width|0:cr=!1,\"height\"in Cr?tn=Cr.height|0:cr=!1,new Jr(!cr&&Pt&&Pt.thisDep,!cr&&Pt&&Pt.contextDep,!cr&&Pt&&Pt.propDep,function(Qn,qn){var rn=Qn.shared.context,bn=yi;\"width\"in Cr||(bn=qn.def(rn,\".\",Oe,\"-\",Gr));var mn=tn;return\"height\"in 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Gr.def(Ri+\")\")}),{frag:kr,vert:Ar,progVar:Cr,program:gr}}function xs(vt,Pt){var Wt=vt.static,rr=vt.dynamic,dr={},pr=!1;function kr(){if(he in Wt){var qn=Wt[he];return qn!==null&&Bn.getVAO(qn)===null&&(qn=Bn.createVAO(qn)),pr=!0,dr.vao=qn,dn(function(bn){var mn=Bn.getVAO(qn);return mn?bn.link(mn):\"null\"})}else if(he in rr){pr=!0;var rn=rr[he];return En(rn,function(bn,mn){var Gn=bn.invoke(mn,rn);return mn.def(bn.shared.vao+\".getVAO(\"+Gn+\")\")})}return null}var Ar=kr(),gr=!1;function Cr(){if(yt in Wt){var qn=Wt[yt];if(dr.elements=qn,vi(qn)){var rn=dr.elements=Oi.create(qn,!0);qn=Oi.getElements(rn),gr=!0}else qn&&(qn=Oi.getElements(qn),gr=!0);var bn=dn(function(Gn,da){if(qn){var No=Gn.link(qn);return Gn.ELEMENTS=No,No}return Gn.ELEMENTS=null,null});return bn.value=qn,bn}else if(yt in rr){gr=!0;var mn=rr[yt];return En(mn,function(Gn,da){var No=Gn.shared,Do=No.isBufferArgs,ps=No.elements,fo=Gn.invoke(da,mn),as=da.def(\"null\"),tl=da.def(Do,\"(\",fo,\")\"),zu=Gn.cond(tl).then(as,\"=\",ps,\".createStream(\",fo,\");\").else(as,\"=\",ps,\".getElements(\",fo,\");\");return da.entry(zu),da.exit(Gn.cond(tl).then(ps,\".destroyStream(\",as,\");\")),Gn.ELEMENTS=as,as})}else if(pr)return new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(Gn,da){return da.def(Gn.shared.vao+\".currentVAO?\"+Gn.shared.elements+\".getElements(\"+Gn.shared.vao+\".currentVAO.elements):null\")});return null}var cr=Cr();function Gr(){if(Ot in Wt){var qn=Wt[Ot];return dr.primitive=qn,dn(function(bn,mn){return Ki[qn]})}else if(Ot in rr){var rn=rr[Ot];return En(rn,function(bn,mn){var Gn=bn.constants.primTypes,da=bn.invoke(mn,rn);return mn.def(Gn,\"[\",da,\"]\")})}else{if(gr)return un(cr)?cr.value?dn(function(bn,mn){return mn.def(bn.ELEMENTS,\".primType\")}):dn(function(){return zl}):new Jr(cr.thisDep,cr.contextDep,cr.propDep,function(bn,mn){var Gn=bn.ELEMENTS;return mn.def(Gn,\"?\",Gn,\".primType:\",zl)});if(pr)return new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(bn,mn){return mn.def(bn.shared.vao+\".currentVAO?\"+bn.shared.vao+\".currentVAO.primitive:\"+zl)})}return null}function ei(qn,rn){if(qn in Wt){var bn=Wt[qn]|0;return rn?dr.offset=bn:dr.instances=bn,dn(function(Gn,da){return rn&&(Gn.OFFSET=bn),bn})}else if(qn in rr){var mn=rr[qn];return En(mn,function(Gn,da){var No=Gn.invoke(da,mn);return rn&&(Gn.OFFSET=No),No})}else if(rn){if(gr)return dn(function(Gn,da){return Gn.OFFSET=0,0});if(pr)return new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(Gn,da){return da.def(Gn.shared.vao+\".currentVAO?\"+Gn.shared.vao+\".currentVAO.offset:0\")})}else if(pr)return new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(Gn,da){return da.def(Gn.shared.vao+\".currentVAO?\"+Gn.shared.vao+\".currentVAO.instances:-1\")});return null}var yi=ei(hr,!0);function tn(){if(Nt in Wt){var qn=Wt[Nt]|0;return dr.count=qn,dn(function(){return qn})}else if(Nt in rr){var rn=rr[Nt];return En(rn,function(da,No){var Do=da.invoke(No,rn);return Do})}else if(gr)if(un(cr)){if(cr)return yi?new Jr(yi.thisDep,yi.contextDep,yi.propDep,function(da,No){var Do=No.def(da.ELEMENTS,\".vertCount-\",da.OFFSET);return Do}):dn(function(da,No){return No.def(da.ELEMENTS,\".vertCount\")});var bn=dn(function(){return-1});return bn}else{var mn=new Jr(cr.thisDep||yi.thisDep,cr.contextDep||yi.contextDep,cr.propDep||yi.propDep,function(da,No){var Do=da.ELEMENTS;return da.OFFSET?No.def(Do,\"?\",Do,\".vertCount-\",da.OFFSET,\":-1\"):No.def(Do,\"?\",Do,\".vertCount:-1\")});return mn}else if(pr){var Gn=new Jr(Ar.thisDep,Ar.contextDep,Ar.propDep,function(da,No){return No.def(da.shared.vao,\".currentVAO?\",da.shared.vao,\".currentVAO.count:-1\")});return Gn}return null}var Ri=Gr(),ln=tn(),Qn=ei(Sr,!1);return{elements:cr,primitive:Ri,count:ln,instances:Qn,offset:yi,vao:Ar,vaoActive:pr,elementsActive:gr,static:dr}}function Qc(vt,Pt){var Wt=vt.static,rr=vt.dynamic,dr={};return wn.forEach(function(pr){var kr=aa(pr);function Ar(gr,Cr){if(pr in Wt){var cr=gr(Wt[pr]);dr[kr]=dn(function(){return cr})}else if(pr in rr){var Gr=rr[pr];dr[kr]=En(Gr,function(ei,yi){return Cr(ei,yi,ei.invoke(yi,Gr))})}}switch(pr){case Ru:case Bo:case ys:case Jc:case ia:case B:case Kc:case Dc:case Da:case Ko:return Ar(function(gr){return gr},function(gr,Cr,cr){return cr});case Ka:return Ar(function(gr){return qr[gr]},function(gr,Cr,cr){var Gr=gr.constants.compareFuncs;return Cr.def(Gr,\"[\",cr,\"]\")});case vs:return Ar(function(gr){return gr},function(gr,Cr,cr){var Gr=Cr.def(\"+\",cr,\"[0]\"),ei=Cr.def(\"+\",cr,\"[1]\");return[Gr,ei]});case Rs:return Ar(function(gr){var Cr=\"srcRGB\"in gr?gr.srcRGB:gr.src,cr=\"srcAlpha\"in gr?gr.srcAlpha:gr.src,Gr=\"dstRGB\"in gr?gr.dstRGB:gr.dst,ei=\"dstAlpha\"in gr?gr.dstAlpha:gr.dst;return[ui[Cr],ui[Gr],ui[cr],ui[ei]]},function(gr,Cr,cr){var Gr=gr.constants.blendFuncs;function ei(rn,bn){var mn=Cr.def('\"',rn,bn,'\" in ',cr,\"?\",cr,\".\",rn,bn,\":\",cr,\".\",rn);return mn}var yi=ei(\"src\",\"RGB\"),tn=ei(\"dst\",\"RGB\"),Ri=Cr.def(Gr,\"[\",yi,\"]\"),ln=Cr.def(Gr,\"[\",ei(\"src\",\"Alpha\"),\"]\"),Qn=Cr.def(Gr,\"[\",tn,\"]\"),qn=Cr.def(Gr,\"[\",ei(\"dst\",\"Alpha\"),\"]\");return[Ri,Qn,ln,qn]});case Gs:return Ar(function(gr){if(typeof gr==\"string\")return[Ln[gr],Ln[gr]];if(typeof gr==\"object\")return[Ln[gr.rgb],Ln[gr.alpha]]},function(gr,Cr,cr){var Gr=gr.constants.blendEquations,ei=Cr.def(),yi=Cr.def(),tn=gr.cond(\"typeof \",cr,'===\"string\"');return tn.then(ei,\"=\",yi,\"=\",Gr,\"[\",cr,\"];\"),tn.else(ei,\"=\",Gr,\"[\",cr,\".rgb];\",yi,\"=\",Gr,\"[\",cr,\".alpha];\"),Cr(tn),[ei,yi]});case yl:return Ar(function(gr){return M(4,function(Cr){return+gr[Cr]})},function(gr,Cr,cr){return M(4,function(Gr){return Cr.def(\"+\",cr,\"[\",Gr,\"]\")})});case yc:return Ar(function(gr){return gr|0},function(gr,Cr,cr){return Cr.def(cr,\"|0\")});case _c:return Ar(function(gr){var Cr=gr.cmp||\"keep\",cr=gr.ref||0,Gr=\"mask\"in gr?gr.mask:-1;return[qr[Cr],cr,Gr]},function(gr,Cr,cr){var Gr=gr.constants.compareFuncs,ei=Cr.def('\"cmp\" in ',cr,\"?\",Gr,\"[\",cr,\".cmp]\",\":\",tt),yi=Cr.def(cr,\".ref|0\"),tn=Cr.def('\"mask\" in ',cr,\"?\",cr,\".mask|0:-1\");return[ei,yi,tn]});case le:case w:return Ar(function(gr){var Cr=gr.fail||\"keep\",cr=gr.zfail||\"keep\",Gr=gr.zpass||\"keep\";return[pr===w?oe:Z,Kr[Cr],Kr[cr],Kr[Gr]]},function(gr,Cr,cr){var Gr=gr.constants.stencilOps;function ei(yi){return Cr.def('\"',yi,'\" in ',cr,\"?\",Gr,\"[\",cr,\".\",yi,\"]:\",tt)}return[pr===w?oe:Z,ei(\"fail\"),ei(\"zfail\"),ei(\"zpass\")]});case Du:return Ar(function(gr){var Cr=gr.factor|0,cr=gr.units|0;return[Cr,cr]},function(gr,Cr,cr){var Gr=Cr.def(cr,\".factor|0\"),ei=Cr.def(cr,\".units|0\");return[Gr,ei]});case ac:return Ar(function(gr){var Cr=0;return gr===\"front\"?Cr=Z:gr===\"back\"&&(Cr=oe),Cr},function(gr,Cr,cr){return Cr.def(cr,'===\"front\"?',Z,\":\",oe)});case bu:return Ar(function(gr){return gr},function(gr,Cr,cr){return cr});case mf:return Ar(function(gr){return ii[gr]},function(gr,Cr,cr){return Cr.def(cr+'===\"cw\"?'+we+\":\"+Be)});case iu:return Ar(function(gr){return gr.map(function(Cr){return!!Cr})},function(gr,Cr,cr){return M(4,function(Gr){return\"!!\"+cr+\"[\"+Gr+\"]\"})});case eo:return Ar(function(gr){var Cr=\"value\"in gr?gr.value:1,cr=!!gr.invert;return[Cr,cr]},function(gr,Cr,cr){var Gr=Cr.def('\"value\" in ',cr,\"?+\",cr,\".value:1\"),ei=Cr.def(\"!!\",cr,\".invert\");return[Gr,ei]})}}),dr}function El(vt,Pt){var Wt=vt.static,rr=vt.dynamic,dr={};return Object.keys(Wt).forEach(function(pr){var kr=Wt[pr],Ar;if(typeof kr==\"number\"||typeof kr==\"boolean\")Ar=dn(function(){return kr});else if(typeof kr==\"function\"){var gr=kr._reglType;gr===\"texture2d\"||gr===\"textureCube\"?Ar=dn(function(Cr){return Cr.link(kr)}):(gr===\"framebuffer\"||gr===\"framebufferCube\")&&(Ar=dn(function(Cr){return Cr.link(kr.color[0])}))}else an(kr)&&(Ar=dn(function(Cr){var cr=Cr.global.def(\"[\",M(kr.length,function(Gr){return kr[Gr]}),\"]\");return cr}));Ar.value=kr,dr[pr]=Ar}),Object.keys(rr).forEach(function(pr){var kr=rr[pr];dr[pr]=En(kr,function(Ar,gr){return Ar.invoke(gr,kr)})}),dr}function bc(vt,Pt){var Wt=vt.static,rr=vt.dynamic,dr={};return Object.keys(Wt).forEach(function(pr){var kr=Wt[pr],Ar=Er.id(pr),gr=new ji;if(vi(kr))gr.state=Ea,gr.buffer=Ui.getBuffer(Ui.create(kr,mr,!1,!0)),gr.type=0;else{var Cr=Ui.getBuffer(kr);if(Cr)gr.state=Ea,gr.buffer=Cr,gr.type=0;else if(\"constant\"in kr){var cr=kr.constant;gr.buffer=\"null\",gr.state=qa,typeof cr==\"number\"?gr.x=cr:Ma.forEach(function(Qn,qn){qn<cr.length&&(gr[Qn]=cr[qn])})}else{vi(kr.buffer)?Cr=Ui.getBuffer(Ui.create(kr.buffer,mr,!1,!0)):Cr=Ui.getBuffer(kr.buffer);var Gr=kr.offset|0,ei=kr.stride|0,yi=kr.size|0,tn=!!kr.normalized,Ri=0;\"type\"in kr&&(Ri=bi[kr.type]);var ln=kr.divisor|0;gr.buffer=Cr,gr.state=Ea,gr.size=yi,gr.normalized=tn,gr.type=Ri||Cr.dtype,gr.offset=Gr,gr.stride=ei,gr.divisor=ln}}dr[pr]=dn(function(Qn,qn){var rn=Qn.attribCache;if(Ar in rn)return rn[Ar];var bn={isStream:!1};return Object.keys(gr).forEach(function(mn){bn[mn]=gr[mn]}),gr.buffer&&(bn.buffer=Qn.link(gr.buffer),bn.type=bn.type||bn.buffer+\".dtype\"),rn[Ar]=bn,bn})}),Object.keys(rr).forEach(function(pr){var kr=rr[pr];function Ar(gr,Cr){var cr=gr.invoke(Cr,kr),Gr=gr.shared,ei=gr.constants,yi=Gr.isBufferArgs,tn=Gr.buffer,Ri={isStream:Cr.def(!1)},ln=new ji;ln.state=Ea,Object.keys(ln).forEach(function(bn){Ri[bn]=Cr.def(\"\"+ln[bn])});var Qn=Ri.buffer,qn=Ri.type;Cr(\"if(\",yi,\"(\",cr,\")){\",Ri.isStream,\"=true;\",Qn,\"=\",tn,\".createStream(\",mr,\",\",cr,\");\",qn,\"=\",Qn,\".dtype;\",\"}else{\",Qn,\"=\",tn,\".getBuffer(\",cr,\");\",\"if(\",Qn,\"){\",qn,\"=\",Qn,\".dtype;\",'}else if(\"constant\" in ',cr,\"){\",Ri.state,\"=\",qa,\";\",\"if(typeof \"+cr+'.constant === \"number\"){',Ri[Ma[0]],\"=\",cr,\".constant;\",Ma.slice(1).map(function(bn){return Ri[bn]}).join(\"=\"),\"=0;\",\"}else{\",Ma.map(function(bn,mn){return Ri[bn]+\"=\"+cr+\".constant.length>\"+mn+\"?\"+cr+\".constant[\"+mn+\"]:0;\"}).join(\"\"),\"}}else{\",\"if(\",yi,\"(\",cr,\".buffer)){\",Qn,\"=\",tn,\".createStream(\",mr,\",\",cr,\".buffer);\",\"}else{\",Qn,\"=\",tn,\".getBuffer(\",cr,\".buffer);\",\"}\",qn,'=\"type\" in ',cr,\"?\",ei.glTypes,\"[\",cr,\".type]:\",Qn,\".dtype;\",Ri.normalized,\"=!!\",cr,\".normalized;\");function rn(bn){Cr(Ri[bn],\"=\",cr,\".\",bn,\"|0;\")}return rn(\"size\"),rn(\"offset\"),rn(\"stride\"),rn(\"divisor\"),Cr(\"}}\"),Cr.exit(\"if(\",Ri.isStream,\"){\",tn,\".destroyStream(\",Qn,\");\",\"}\"),Ri}dr[pr]=En(kr,Ar)}),dr}function wc(vt){var Pt=vt.static,Wt=vt.dynamic,rr={};return Object.keys(Pt).forEach(function(dr){var pr=Pt[dr];rr[dr]=dn(function(kr,Ar){return typeof pr==\"number\"||typeof pr==\"boolean\"?\"\"+pr:kr.link(pr)})}),Object.keys(Wt).forEach(function(dr){var pr=Wt[dr];rr[dr]=En(pr,function(kr,Ar){return kr.invoke(Ar,pr)})}),rr}function yf(vt,Pt,Wt,rr,dr){var pr=vt.static,kr=vt.dynamic,Ar=Xl(vt,Pt),gr=Po(vt,dr),Cr=Jo(vt,gr,dr),cr=xs(vt,dr),Gr=Qc(vt,dr),ei=$c(vt,dr,Ar);function yi(rn){var bn=Cr[rn];bn&&(Gr[rn]=bn)}yi(ee),yi(aa(Q));var tn=Object.keys(Gr).length>0,Ri={framebuffer:gr,draw:cr,shader:ei,state:Gr,dirty:tn,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(Ri.profile=_o(vt,dr),Ri.uniforms=El(Wt,dr),Ri.drawVAO=Ri.scopeVAO=cr.vao,!Ri.drawVAO&&ei.program&&!Ar&&Wr.angle_instanced_arrays&&cr.static.elements){var ln=!0,Qn=ei.program.attributes.map(function(rn){var bn=Pt.static[rn];return ln=ln&&!!bn,bn});if(ln&&Qn.length>0){var qn=Bn.getVAO(Bn.createVAO({attributes:Qn,elements:cr.static.elements}));Ri.drawVAO=new Jr(null,null,null,function(rn,bn){return rn.link(qn)}),Ri.useVAO=!0}}return Ar?Ri.useVAO=!0:Ri.attributes=bc(Pt,dr),Ri.context=wc(rr,dr),Ri}function Hl(vt,Pt,Wt){var rr=vt.shared,dr=rr.context,pr=vt.scope();Object.keys(Wt).forEach(function(kr){Pt.save(dr,\".\"+kr);var Ar=Wt[kr],gr=Ar.append(vt,Pt);Array.isArray(gr)?pr(dr,\".\",kr,\"=[\",gr.join(),\"];\"):pr(dr,\".\",kr,\"=\",gr,\";\")}),Pt(pr)}function Fc(vt,Pt,Wt,rr){var dr=vt.shared,pr=dr.gl,kr=dr.framebuffer,Ar;gn&&(Ar=Pt.def(dr.extensions,\".webgl_draw_buffers\"));var gr=vt.constants,Cr=gr.drawBuffer,cr=gr.backBuffer,Gr;Wt?Gr=Wt.append(vt,Pt):Gr=Pt.def(kr,\".next\"),rr||Pt(\"if(\",Gr,\"!==\",kr,\".cur){\"),Pt(\"if(\",Gr,\"){\",pr,\".bindFramebuffer(\",Ir,\",\",Gr,\".framebuffer);\"),gn&&Pt(Ar,\".drawBuffersWEBGL(\",Cr,\"[\",Gr,\".colorAttachments.length]);\"),Pt(\"}else{\",pr,\".bindFramebuffer(\",Ir,\",null);\"),gn&&Pt(Ar,\".drawBuffersWEBGL(\",cr,\");\"),Pt(\"}\",kr,\".cur=\",Gr,\";\"),rr||Pt(\"}\")}function ef(vt,Pt,Wt){var rr=vt.shared,dr=rr.gl,pr=vt.current,kr=vt.next,Ar=rr.current,gr=rr.next,Cr=vt.cond(Ar,\".dirty\");wn.forEach(function(cr){var Gr=aa(cr);if(!(Gr in Wt.state)){var ei,yi;if(Gr in kr){ei=kr[Gr],yi=pr[Gr];var tn=M(Kn[Gr].length,function(ln){return Cr.def(ei,\"[\",ln,\"]\")});Cr(vt.cond(tn.map(function(ln,Qn){return ln+\"!==\"+yi+\"[\"+Qn+\"]\"}).join(\"||\")).then(dr,\".\",Aa[Gr],\"(\",tn,\");\",tn.map(function(ln,Qn){return yi+\"[\"+Qn+\"]=\"+ln}).join(\";\"),\";\"))}else{ei=Cr.def(gr,\".\",Gr);var Ri=vt.cond(ei,\"!==\",Ar,\".\",Gr);Cr(Ri),Gr in vn?Ri(vt.cond(ei).then(dr,\".enable(\",vn[Gr],\");\").else(dr,\".disable(\",vn[Gr],\");\"),Ar,\".\",Gr,\"=\",ei,\";\"):Ri(dr,\".\",Aa[Gr],\"(\",ei,\");\",Ar,\".\",Gr,\"=\",ei,\";\")}}}),Object.keys(Wt.state).length===0&&Cr(Ar,\".dirty=false;\"),Pt(Cr)}function ls(vt,Pt,Wt,rr){var dr=vt.shared,pr=vt.current,kr=dr.current,Ar=dr.gl,gr;ci(Object.keys(Wt)).forEach(function(Cr){var cr=Wt[Cr];if(!(rr&&!rr(cr))){var Gr=cr.append(vt,Pt);if(vn[Cr]){var ei=vn[Cr];un(cr)?(gr=vt.link(Gr,{stable:!0}),Pt(vt.cond(gr).then(Ar,\".enable(\",ei,\");\").else(Ar,\".disable(\",ei,\");\")),Pt(kr,\".\",Cr,\"=\",gr,\";\")):(Pt(vt.cond(Gr).then(Ar,\".enable(\",ei,\");\").else(Ar,\".disable(\",ei,\");\")),Pt(kr,\".\",Cr,\"=\",Gr,\";\"))}else if(an(Gr)){var yi=pr[Cr];Pt(Ar,\".\",Aa[Cr],\"(\",Gr,\");\",Gr.map(function(tn,Ri){return yi+\"[\"+Ri+\"]=\"+tn}).join(\";\"),\";\")}else un(cr)?(gr=vt.link(Gr,{stable:!0}),Pt(Ar,\".\",Aa[Cr],\"(\",gr,\");\",kr,\".\",Cr,\"=\",gr,\";\")):Pt(Ar,\".\",Aa[Cr],\"(\",Gr,\");\",kr,\".\",Cr,\"=\",Gr,\";\")}})}function _f(vt,Pt){Un&&(vt.instancing=Pt.def(vt.shared.extensions,\".angle_instanced_arrays\"))}function ns(vt,Pt,Wt,rr,dr){var pr=vt.shared,kr=vt.stats,Ar=pr.current,gr=pr.timer,Cr=Wt.profile;function cr(){return typeof performance==\"undefined\"?\"Date.now()\":\"performance.now()\"}var Gr,ei;function yi(rn){Gr=Pt.def(),rn(Gr,\"=\",cr(),\";\"),typeof dr==\"string\"?rn(kr,\".count+=\",dr,\";\"):rn(kr,\".count++;\"),Dn&&(rr?(ei=Pt.def(),rn(ei,\"=\",gr,\".getNumPendingQueries();\")):rn(gr,\".beginQuery(\",kr,\");\"))}function tn(rn){rn(kr,\".cpuTime+=\",cr(),\"-\",Gr,\";\"),Dn&&(rr?rn(gr,\".pushScopeStats(\",ei,\",\",gr,\".getNumPendingQueries(),\",kr,\");\"):rn(gr,\".endQuery();\"))}function Ri(rn){var bn=Pt.def(Ar,\".profile\");Pt(Ar,\".profile=\",rn,\";\"),Pt.exit(Ar,\".profile=\",bn,\";\")}var ln;if(Cr){if(un(Cr)){Cr.enable?(yi(Pt),tn(Pt.exit),Ri(\"true\")):Ri(\"false\");return}ln=Cr.append(vt,Pt),Ri(ln)}else ln=Pt.def(Ar,\".profile\");var Qn=vt.block();yi(Qn),Pt(\"if(\",ln,\"){\",Qn,\"}\");var qn=vt.block();tn(qn),Pt.exit(\"if(\",ln,\"){\",qn,\"}\")}function Y(vt,Pt,Wt,rr,dr){var pr=vt.shared;function kr(gr){switch(gr){case To:case Ds:case _l:return 2;case Wa:case As:case Vl:return 3;case co:case yo:case Zu:return 4;default:return 1}}function Ar(gr,Cr,cr){var Gr=pr.gl,ei=Pt.def(gr,\".location\"),yi=Pt.def(pr.attributes,\"[\",ei,\"]\"),tn=cr.state,Ri=cr.buffer,ln=[cr.x,cr.y,cr.z,cr.w],Qn=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function qn(){Pt(\"if(!\",yi,\".buffer){\",Gr,\".enableVertexAttribArray(\",ei,\");}\");var bn=cr.type,mn;if(cr.size?mn=Pt.def(cr.size,\"||\",Cr):mn=Cr,Pt(\"if(\",yi,\".type!==\",bn,\"||\",yi,\".size!==\",mn,\"||\",Qn.map(function(da){return yi+\".\"+da+\"!==\"+cr[da]}).join(\"||\"),\"){\",Gr,\".bindBuffer(\",mr,\",\",Ri,\".buffer);\",Gr,\".vertexAttribPointer(\",[ei,mn,bn,cr.normalized,cr.stride,cr.offset],\");\",yi,\".type=\",bn,\";\",yi,\".size=\",mn,\";\",Qn.map(function(da){return yi+\".\"+da+\"=\"+cr[da]+\";\"}).join(\"\"),\"}\"),Un){var Gn=cr.divisor;Pt(\"if(\",yi,\".divisor!==\",Gn,\"){\",vt.instancing,\".vertexAttribDivisorANGLE(\",[ei,Gn],\");\",yi,\".divisor=\",Gn,\";}\")}}function rn(){Pt(\"if(\",yi,\".buffer){\",Gr,\".disableVertexAttribArray(\",ei,\");\",yi,\".buffer=null;\",\"}if(\",Ma.map(function(bn,mn){return yi+\".\"+bn+\"!==\"+ln[mn]}).join(\"||\"),\"){\",Gr,\".vertexAttrib4f(\",ei,\",\",ln,\");\",Ma.map(function(bn,mn){return yi+\".\"+bn+\"=\"+ln[mn]+\";\"}).join(\"\"),\"}\")}tn===Ea?qn():tn===qa?rn():(Pt(\"if(\",tn,\"===\",Ea,\"){\"),qn(),Pt(\"}else{\"),rn(),Pt(\"}\"))}rr.forEach(function(gr){var Cr=gr.name,cr=Wt.attributes[Cr],Gr;if(cr){if(!dr(cr))return;Gr=cr.append(vt,Pt)}else{if(!dr(Nn))return;var ei=vt.scopeAttrib(Cr);Gr={},Object.keys(new ji).forEach(function(yi){Gr[yi]=Pt.def(ei,\".\",yi)})}Ar(vt.link(gr),kr(gr.info.type),Gr)})}function z(vt,Pt,Wt,rr,dr,pr){for(var kr=vt.shared,Ar=kr.gl,gr,Cr=0;Cr<rr.length;++Cr){var cr=rr[Cr],Gr=cr.name,ei=cr.info.type,yi=Wt.uniforms[Gr],tn=vt.link(cr),Ri=tn+\".location\",ln;if(yi){if(!dr(yi))continue;if(un(yi)){var Qn=yi.value;if(ei===zc||ei===Dl){var qn=vt.link(Qn._texture||Qn.color[0]._texture);Pt(Ar,\".uniform1i(\",Ri,\",\",qn+\".bind());\"),Pt.exit(qn,\".unbind();\")}else if(ei===cu||ei===el||ei===nu){var rn=vt.global.def(\"new Float32Array([\"+Array.prototype.slice.call(Qn)+\"])\"),bn=2;ei===el?bn=3:ei===nu&&(bn=4),Pt(Ar,\".uniformMatrix\",bn,\"fv(\",Ri,\",false,\",rn,\");\")}else{switch(ei){case Ga:gr=\"1f\";break;case To:gr=\"2f\";break;case Wa:gr=\"3f\";break;case co:gr=\"4f\";break;case po:gr=\"1i\";break;case Ro:gr=\"1i\";break;case _l:gr=\"2i\";break;case Ds:gr=\"2i\";break;case Vl:gr=\"3i\";break;case As:gr=\"3i\";break;case Zu:gr=\"4i\";break;case yo:gr=\"4i\";break}Pt(Ar,\".uniform\",gr,\"(\",Ri,\",\",an(Qn)?Array.prototype.slice.call(Qn):Qn,\");\")}continue}else ln=yi.append(vt,Pt)}else{if(!dr(Nn))continue;ln=Pt.def(kr.uniforms,\"[\",Er.id(Gr),\"]\")}ei===zc?Pt(\"if(\",ln,\"&&\",ln,'._reglType===\"framebuffer\"){',ln,\"=\",ln,\".color[0];\",\"}\"):ei===Dl&&Pt(\"if(\",ln,\"&&\",ln,'._reglType===\"framebufferCube\"){',ln,\"=\",ln,\".color[0];\",\"}\");var mn=1;switch(ei){case zc:case Dl:var Gn=Pt.def(ln,\"._texture\");Pt(Ar,\".uniform1i(\",Ri,\",\",Gn,\".bind());\"),Pt.exit(Gn,\".unbind();\");continue;case Ro:case po:gr=\"1i\";break;case Ds:case _l:gr=\"2i\",mn=2;break;case As:case Vl:gr=\"3i\",mn=3;break;case yo:case Zu:gr=\"4i\",mn=4;break;case Ga:gr=\"1f\";break;case To:gr=\"2f\",mn=2;break;case Wa:gr=\"3f\",mn=3;break;case co:gr=\"4f\",mn=4;break;case cu:gr=\"Matrix2fv\";break;case el:gr=\"Matrix3fv\";break;case nu:gr=\"Matrix4fv\";break}if(gr.charAt(0)===\"M\"){Pt(Ar,\".uniform\",gr,\"(\",Ri,\",\");var da=Math.pow(ei-cu+2,2),No=vt.global.def(\"new Float32Array(\",da,\")\");Array.isArray(ln)?Pt(\"false,(\",M(da,function(tl){return No+\"[\"+tl+\"]=\"+ln[tl]}),\",\",No,\")\"):Pt(\"false,(Array.isArray(\",ln,\")||\",ln,\" instanceof Float32Array)?\",ln,\":(\",M(da,function(tl){return No+\"[\"+tl+\"]=\"+ln+\"[\"+tl+\"]\"}),\",\",No,\")\"),Pt(\");\")}else if(mn>1){for(var Do=[],ps=[],fo=0;fo<mn;++fo)Array.isArray(ln)?ps.push(ln[fo]):ps.push(Pt.def(ln+\"[\"+fo+\"]\")),pr&&Do.push(Pt.def());pr&&Pt(\"if(!\",vt.batchId,\"||\",Do.map(function(tl,zu){return tl+\"!==\"+ps[zu]}).join(\"||\"),\"){\",Do.map(function(tl,zu){return tl+\"=\"+ps[zu]+\";\"}).join(\"\")),Pt(Ar,\".uniform\",gr,\"(\",Ri,\",\",ps.join(\",\"),\");\"),pr&&Pt(\"}\")}else{if(pr){var as=Pt.def();Pt(\"if(!\",vt.batchId,\"||\",as,\"!==\",ln,\"){\",as,\"=\",ln,\";\")}Pt(Ar,\".uniform\",gr,\"(\",Ri,\",\",ln,\");\"),pr&&Pt(\"}\")}}}function K(vt,Pt,Wt,rr){var dr=vt.shared,pr=dr.gl,kr=dr.draw,Ar=rr.draw;function gr(){var mn=Ar.elements,Gn,da=Pt;return mn?((mn.contextDep&&rr.contextDynamic||mn.propDep)&&(da=Wt),Gn=mn.append(vt,da),Ar.elementsActive&&da(\"if(\"+Gn+\")\"+pr+\".bindBuffer(\"+Rr+\",\"+Gn+\".buffer.buffer);\")):(Gn=da.def(),da(Gn,\"=\",kr,\".\",yt,\";\",\"if(\",Gn,\"){\",pr,\".bindBuffer(\",Rr,\",\",Gn,\".buffer.buffer);}\",\"else if(\",dr.vao,\".currentVAO){\",Gn,\"=\",vt.shared.elements+\".getElements(\"+dr.vao,\".currentVAO.elements);\",ca?\"\":\"if(\"+Gn+\")\"+pr+\".bindBuffer(\"+Rr+\",\"+Gn+\".buffer.buffer);\",\"}\")),Gn}function Cr(){var mn=Ar.count,Gn,da=Pt;return mn?((mn.contextDep&&rr.contextDynamic||mn.propDep)&&(da=Wt),Gn=mn.append(vt,da)):Gn=da.def(kr,\".\",Nt),Gn}var cr=gr();function Gr(mn){var Gn=Ar[mn];return Gn?Gn.contextDep&&rr.contextDynamic||Gn.propDep?Gn.append(vt,Wt):Gn.append(vt,Pt):Pt.def(kr,\".\",mn)}var ei=Gr(Ot),yi=Gr(hr),tn=Cr();if(typeof tn==\"number\"){if(tn===0)return}else Wt(\"if(\",tn,\"){\"),Wt.exit(\"}\");var Ri,ln;Un&&(Ri=Gr(Sr),ln=vt.instancing);var Qn=cr+\".type\",qn=Ar.elements&&un(Ar.elements)&&!Ar.vaoActive;function rn(){function mn(){Wt(ln,\".drawElementsInstancedANGLE(\",[ei,tn,Qn,yi+\"<<((\"+Qn+\"-\"+Ta+\")>>1)\",Ri],\");\")}function Gn(){Wt(ln,\".drawArraysInstancedANGLE(\",[ei,yi,tn,Ri],\");\")}cr&&cr!==\"null\"?qn?mn():(Wt(\"if(\",cr,\"){\"),mn(),Wt(\"}else{\"),Gn(),Wt(\"}\")):Gn()}function bn(){function mn(){Wt(pr+\".drawElements(\"+[ei,tn,Qn,yi+\"<<((\"+Qn+\"-\"+Ta+\")>>1)\"]+\");\")}function Gn(){Wt(pr+\".drawArrays(\"+[ei,yi,tn]+\");\")}cr&&cr!==\"null\"?qn?mn():(Wt(\"if(\",cr,\"){\"),mn(),Wt(\"}else{\"),Gn(),Wt(\"}\")):Gn()}Un&&(typeof Ri!=\"number\"||Ri>=0)?typeof Ri==\"string\"?(Wt(\"if(\",Ri,\">0){\"),rn(),Wt(\"}else if(\",Ri,\"<0){\"),bn(),Wt(\"}\")):rn():bn()}function O(vt,Pt,Wt,rr,dr){var pr=Oa(),kr=pr.proc(\"body\",dr);return Un&&(pr.instancing=kr.def(pr.shared.extensions,\".angle_instanced_arrays\")),vt(pr,kr,Wt,rr),pr.compile().body}function $(vt,Pt,Wt,rr){_f(vt,Pt),Wt.useVAO?Wt.drawVAO?Pt(vt.shared.vao,\".setVAO(\",Wt.drawVAO.append(vt,Pt),\");\"):Pt(vt.shared.vao,\".setVAO(\",vt.shared.vao,\".targetVAO);\"):(Pt(vt.shared.vao,\".setVAO(null);\"),Y(vt,Pt,Wt,rr.attributes,function(){return!0})),z(vt,Pt,Wt,rr.uniforms,function(){return!0},!1),K(vt,Pt,Pt,Wt)}function pe(vt,Pt){var Wt=vt.proc(\"draw\",1);_f(vt,Wt),Hl(vt,Wt,Pt.context),Fc(vt,Wt,Pt.framebuffer),ef(vt,Wt,Pt),ls(vt,Wt,Pt.state),ns(vt,Wt,Pt,!1,!0);var rr=Pt.shader.progVar.append(vt,Wt);if(Wt(vt.shared.gl,\".useProgram(\",rr,\".program);\"),Pt.shader.program)$(vt,Wt,Pt,Pt.shader.program);else{Wt(vt.shared.vao,\".setVAO(null);\");var dr=vt.global.def(\"{}\"),pr=Wt.def(rr,\".id\"),kr=Wt.def(dr,\"[\",pr,\"]\");Wt(vt.cond(kr).then(kr,\".call(this,a0);\").else(kr,\"=\",dr,\"[\",pr,\"]=\",vt.link(function(Ar){return O($,vt,Pt,Ar,1)}),\"(\",rr,\");\",kr,\".call(this,a0);\"))}Object.keys(Pt.state).length>0&&Wt(vt.shared.current,\".dirty=true;\"),vt.shared.vao&&Wt(vt.shared.vao,\".setVAO(null);\")}function de(vt,Pt,Wt,rr){vt.batchId=\"a1\",_f(vt,Pt);function dr(){return!0}Y(vt,Pt,Wt,rr.attributes,dr),z(vt,Pt,Wt,rr.uniforms,dr,!1),K(vt,Pt,Pt,Wt)}function Ie(vt,Pt,Wt,rr){_f(vt,Pt);var dr=Wt.contextDep,pr=Pt.def(),kr=\"a0\",Ar=\"a1\",gr=Pt.def();vt.shared.props=gr,vt.batchId=pr;var Cr=vt.scope(),cr=vt.scope();Pt(Cr.entry,\"for(\",pr,\"=0;\",pr,\"<\",Ar,\";++\",pr,\"){\",gr,\"=\",kr,\"[\",pr,\"];\",cr,\"}\",Cr.exit);function Gr(Qn){return Qn.contextDep&&dr||Qn.propDep}function ei(Qn){return!Gr(Qn)}if(Wt.needsContext&&Hl(vt,cr,Wt.context),Wt.needsFramebuffer&&Fc(vt,cr,Wt.framebuffer),ls(vt,cr,Wt.state,Gr),Wt.profile&&Gr(Wt.profile)&&ns(vt,cr,Wt,!1,!0),rr)Wt.useVAO?Wt.drawVAO?Gr(Wt.drawVAO)?cr(vt.shared.vao,\".setVAO(\",Wt.drawVAO.append(vt,cr),\");\"):Cr(vt.shared.vao,\".setVAO(\",Wt.drawVAO.append(vt,Cr),\");\"):Cr(vt.shared.vao,\".setVAO(\",vt.shared.vao,\".targetVAO);\"):(Cr(vt.shared.vao,\".setVAO(null);\"),Y(vt,Cr,Wt,rr.attributes,ei),Y(vt,cr,Wt,rr.attributes,Gr)),z(vt,Cr,Wt,rr.uniforms,ei,!1),z(vt,cr,Wt,rr.uniforms,Gr,!0),K(vt,Cr,cr,Wt);else{var yi=vt.global.def(\"{}\"),tn=Wt.shader.progVar.append(vt,cr),Ri=cr.def(tn,\".id\"),ln=cr.def(yi,\"[\",Ri,\"]\");cr(vt.shared.gl,\".useProgram(\",tn,\".program);\",\"if(!\",ln,\"){\",ln,\"=\",yi,\"[\",Ri,\"]=\",vt.link(function(Qn){return O(de,vt,Wt,Qn,2)}),\"(\",tn,\");}\",ln,\".call(this,a0[\",pr,\"],\",pr,\");\")}}function $e(vt,Pt){var Wt=vt.proc(\"batch\",2);vt.batchId=\"0\",_f(vt,Wt);var rr=!1,dr=!0;Object.keys(Pt.context).forEach(function(yi){rr=rr||Pt.context[yi].propDep}),rr||(Hl(vt,Wt,Pt.context),dr=!1);var pr=Pt.framebuffer,kr=!1;pr?(pr.propDep?rr=kr=!0:pr.contextDep&&rr&&(kr=!0),kr||Fc(vt,Wt,pr)):Fc(vt,Wt,null),Pt.state.viewport&&Pt.state.viewport.propDep&&(rr=!0);function Ar(yi){return yi.contextDep&&rr||yi.propDep}ef(vt,Wt,Pt),ls(vt,Wt,Pt.state,function(yi){return!Ar(yi)}),(!Pt.profile||!Ar(Pt.profile))&&ns(vt,Wt,Pt,!1,\"a1\"),Pt.contextDep=rr,Pt.needsContext=dr,Pt.needsFramebuffer=kr;var gr=Pt.shader.progVar;if(gr.contextDep&&rr||gr.propDep)Ie(vt,Wt,Pt,null);else{var Cr=gr.append(vt,Wt);if(Wt(vt.shared.gl,\".useProgram(\",Cr,\".program);\"),Pt.shader.program)Ie(vt,Wt,Pt,Pt.shader.program);else{Wt(vt.shared.vao,\".setVAO(null);\");var cr=vt.global.def(\"{}\"),Gr=Wt.def(Cr,\".id\"),ei=Wt.def(cr,\"[\",Gr,\"]\");Wt(vt.cond(ei).then(ei,\".call(this,a0,a1);\").else(ei,\"=\",cr,\"[\",Gr,\"]=\",vt.link(function(yi){return 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dr=vt.global,pr=Object.keys(rr),kr=!1,Ar=!1,gr=!1,Cr=vt.global.def(\"{}\");pr.forEach(function(Gr){var ei=rr[Gr];if(h.isDynamic(ei)){typeof ei==\"function\"&&(ei=rr[Gr]=h.unbox(ei));var yi=En(ei,null);kr=kr||yi.thisDep,gr=gr||yi.propDep,Ar=Ar||yi.contextDep}else{switch(dr(Cr,\".\",Gr,\"=\"),typeof ei){case\"number\":dr(ei);break;case\"string\":dr('\"',ei,'\"');break;case\"object\":Array.isArray(ei)&&dr(\"[\",ei.join(),\"]\");break;default:dr(vt.link(ei));break}dr(\";\")}});function cr(Gr,ei){pr.forEach(function(yi){var tn=rr[yi];if(h.isDynamic(tn)){var Ri=Gr.invoke(ei,tn);ei(Cr,\".\",yi,\"=\",Ri,\";\")}})}Pt.dynamic[Wt]=new h.DynamicVariable(Xo,{thisDep:kr,contextDep:Ar,propDep:gr,ref:Cr,append:cr}),delete Pt.static[Wt]}function Jt(vt,Pt,Wt,rr,dr){var pr=Oa();pr.stats=pr.link(dr),Object.keys(Pt.static).forEach(function(Ar){ir(pr,Pt,Ar)}),tr.forEach(function(Ar){ir(pr,vt,Ar)});var kr=yf(vt,Pt,Wt,rr,pr);return kr.shader.program&&(kr.shader.program.attributes.sort(function(Ar,gr){return 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yF,Vu=function(t){bBt(t)?(t={regl:t},this.gl=t.regl._gl):this.gl=uBt(t),this.shader=dOe.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||lBt({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),dOe.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(dBt(t)?t:{})};Vu.prototype.createShader=function(){var t=this.regl,r=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(i,a){return[a.atlas.width,a.atlas.height]},atlasDim:function(i,a){return[a.atlas.cols,a.atlas.rows]},atlas:function(i,a){return a.atlas.texture},charStep:function(i,a){return a.atlas.step},em:function(i,a){return a.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tattribute float width, charOffset, char;\n",
+       "\t\t\tattribute vec2 position;\n",
+       "\t\t\tuniform float fontSize, charStep, em, align, baseline;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform vec4 color;\n",
+       "\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n",
+       "\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n",
+       "\t\t\t\t\t/ (viewport.zw * scale.xy);\n",
+       "\n",
+       "\t\t\t\tvec2 position = (position + translate) * scale;\n",
+       "\t\t\t\tposition += offset * scale;\n",
+       "\n",
+       "\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n",
+       "\n",
+       "\t\t\t\tgl_PointSize = charStep;\n",
+       "\n",
+       "\t\t\t\tcharId.x = mod(char, atlasDim.x);\n",
+       "\t\t\t\tcharId.y = floor(char / atlasDim.x);\n",
+       "\n",
+       "\t\t\t\tcharWidth = width * em;\n",
+       "\n",
+       "\t\t\t\tfontColor = color / 255.;\n",
+       "\t\t\t}`,frag:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tuniform float fontSize, charStep, opacity;\n",
+       "\t\t\tuniform vec2 atlasSize;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform sampler2D atlas;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\n",
+       "\t\t\tfloat lightness(vec4 color) {\n",
+       "\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n",
+       "\t\t\t}\n",
+       "\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n",
+       "\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n",
+       "\n",
+       "\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n",
+       "\t\t\t\tuv.y = charStep - uv.y;\n",
+       "\n",
+       "\t\t\t\t// ignore points outside of character bounding box\n",
+       "\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n",
+       "\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n",
+       "\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n",
+       "\n",
+       "\t\t\t\tuv += charId * charStep;\n",
+       "\t\t\t\tuv = uv / atlasSize;\n",
+       "\n",
+       "\t\t\t\tvec4 color = fontColor;\n",
+       "\t\t\t\tvec4 mask = texture2D(atlas, uv);\n",
+       "\n",
+       "\t\t\t\tfloat maskY = lightness(mask);\n",
+       "\t\t\t\t// float colorY = lightness(color);\n",
+       "\t\t\t\tcolor.a *= maskY;\n",
+       "\t\t\t\tcolor.a *= opacity;\n",
+       "\n",
+       "\t\t\t\t// color.a += .1;\n",
+       "\n",
+       "\t\t\t\t// antialiasing, see yiq color space y-channel formula\n",
+       "\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n",
+       "\n",
+       "\t\t\t\tgl_FragColor = color;\n",
+       "\t\t\t}`}),n={};return{regl:t,draw:r,atlas:n}};Vu.prototype.update=function(t){var r=this;if(typeof t==\"string\")t={text:t};else if(!t)return;t=sBt(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),t.opacity!=null&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(ke){return parseFloat(ke)}):this.opacity=parseFloat(t.opacity)),t.viewport!=null&&(this.viewport=hBt(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),t.kerning!=null&&(this.kerning=t.kerning),t.offset!=null&&(typeof t.offset==\"number\"&&(t.offset=[t.offset,0]),this.positionOffset=_Bt(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),!this.font.length&&!t.font&&(t.font=Vu.baseFontSize+\"px sans-serif\");var n=!1,i=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(ke,ge){if(typeof ke==\"string\")try{ke=hA.parse(ke)}catch(Ge){ke=hA.parse(Vu.baseFontSize+\"px \"+ke)}else{var ie=ke.style,Te=ke.weight,Ee=ke.stretch,Ae=ke.variant;ke=hA.parse(hA.stringify(ke)),ie&&(ke.style=ie),Te&&(ke.weight=Te),Ee&&(ke.stretch=Ee),Ae&&(ke.variant=Ae)}var ze=hA.stringify({size:Vu.baseFontSize,family:ke.family,stretch:_F?ke.stretch:void 0,variant:ke.variant,weight:ke.weight,style:ke.style}),Ce=vBt(ke.size),me=Math.round(Ce[0]*pBt(Ce[1]));if(me!==r.fontSize[ge]&&(i=!0,r.fontSize[ge]=me),(!r.font[ge]||ze!=r.font[ge].baseString)&&(n=!0,r.font[ge]=Vu.fonts[ze],!r.font[ge])){var Re=ke.family.join(\", \"),ce=[ke.style];ke.style!=ke.variant&&ce.push(ke.variant),ke.variant!=ke.weight&&ce.push(ke.weight),_F&&ke.weight!=ke.stretch&&ce.push(ke.stretch),r.font[ge]={baseString:ze,family:Re,weight:ke.weight,stretch:ke.stretch,style:ke.style,variant:ke.variant,width:{},kerning:{},metrics:yBt(Re,{origin:\"top\",fontSize:Vu.baseFontSize,fontStyle:ce.join(\" \")})},Vu.fonts[ze]=r.font[ge]}}),(n||i)&&this.font.forEach(function(ke,ge){var ie=hA.stringify({size:r.fontSize[ge],family:ke.family,stretch:_F?ke.stretch:void 0,variant:ke.variant,weight:ke.weight,style:ke.style});if(r.fontAtlas[ge]=r.shader.atlas[ie],!r.fontAtlas[ge]){var Te=ke.metrics;r.shader.atlas[ie]=r.fontAtlas[ge]={fontString:ie,step:Math.ceil(r.fontSize[ge]*Te.bottom*.5)*2,em:r.fontSize[ge],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:r.regl.texture()}}t.text==null&&(t.text=r.text)}),typeof t.text==\"string\"&&t.position&&t.position.length>2){for(var a=Array(t.position.length*.5),o=0;o<a.length;o++)a[o]=t.text;t.text=a}var s;if(t.text!=null||n){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var l=1;l<t.text.length;l++)this.textOffsets[l]=this.textOffsets[l-1]+t.text[l-1].length,this.count+=t.text[l].length,this.counts.push(t.text[l].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];s=[],this.font.forEach(function(ke,ge){Vu.atlasContext.font=ke.baseString;for(var ie=r.fontAtlas[ge],Te=0;Te<r.text.length;Te++){var Ee=r.text.charAt(Te);if(ie.ids[Ee]==null&&(ie.ids[Ee]=ie.chars.length,ie.chars.push(Ee),s.push(Ee)),ke.width[Ee]==null&&(ke.width[Ee]=Vu.atlasContext.measureText(Ee).width/Vu.baseFontSize,r.kerning)){var Ae=[];for(var ze in ke.width)Ae.push(ze+Ee,Ee+ze);mBt(ke.kerning,gBt(ke.family,{pairs:Ae}))}}})}if(t.position)if(t.position.length>2){for(var u=!t.position[0].length,c=hx.mallocFloat(this.count*2),f=0,h=0;f<this.counts.length;f++){var d=this.counts[f];if(u)for(var v=0;v<d;v++)c[h++]=t.position[f*2],c[h++]=t.position[f*2+1];else for(var x=0;x<d;x++)c[h++]=t.position[f][0],c[h++]=t.position[f][1]}this.position.call?this.position({type:\"float\",data:c}):this.position=this.regl.buffer({type:\"float\",data:c}),hx.freeFloat(c)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||n){var b=hx.mallocUint8(this.count),g=hx.mallocFloat(this.count*2);this.textWidth=[];for(var E=0,k=0;E<this.counts.length;E++){for(var A=this.counts[E],L=this.font[E]||this.font[0],_=this.fontAtlas[E]||this.fontAtlas[0],C=0;C<A;C++){var M=this.text.charAt(k),p=this.text.charAt(k-1);if(b[k]=_.ids[M],g[k*2]=L.width[M],C){var P=g[k*2-2],T=g[k*2],F=g[k*2-1],q=F+P*.5+T*.5;if(this.kerning){var V=L.kerning[p+M];V&&(q+=V*.001)}g[k*2+1]=q}else g[k*2+1]=g[k*2]*.5;k++}this.textWidth.push(g.length?g[k*2-2]*.5+g[k*2-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:b,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:g,type:\"float\",usage:\"stream\"}),hx.freeUint8(b),hx.freeFloat(g),s.length&&this.font.forEach(function(ke,ge){var ie=r.fontAtlas[ge],Te=ie.step,Ee=Math.floor(Vu.maxAtlasSize/Te),Ae=Math.min(Ee,ie.chars.length),ze=Math.ceil(ie.chars.length/Ae),Ce=hOe(Ae*Te),me=hOe(ze*Te);ie.width=Ce,ie.height=me,ie.rows=ze,ie.cols=Ae,ie.em&&ie.texture({data:fBt({canvas:Vu.atlasCanvas,font:ie.fontString,chars:ie.chars,shape:[Ce,me],step:[Te,Te]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(ke,ge){var ie=Array.isArray(r.align)?r.align.length>1?r.align[ge]:r.align[0]:r.align;if(typeof ie==\"number\")return ie;switch(ie){case\"right\":case\"end\":return-ke;case\"center\":case\"centre\":case\"middle\":return-ke*.5}return 0})),this.baseline==null&&t.baseline==null&&(t.baseline=0),t.baseline!=null&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(ke,ge){var ie=(r.font[ge]||r.font[0]).metrics,Te=0;return Te+=ie.bottom*.5,typeof ke==\"number\"?Te+=ke-ie.baseline:Te+=-ie[ke],Te*=-1,Te})),t.color!=null)if(t.color||(t.color=\"transparent\"),typeof t.color==\"string\"||!isNaN(t.color))this.color=KY(t.color,\"uint8\");else{var H;if(typeof t.color[0]==\"number\"&&t.color.length>this.counts.length){var X=t.color.length;H=hx.mallocUint8(X);for(var G=(t.color.subarray||t.color.slice).bind(t.color),N=0;N<X;N+=4)H.set(KY(G(N,N+4),\"uint8\"),N)}else{var W=t.color.length;H=hx.mallocUint8(W*4);for(var re=0;re<W;re++)H.set(KY(t.color[re]||0,\"uint8\"),re*4)}this.color=H}if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity){var ae=this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(ae){var _e=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(_e);for(var Me=0;Me<this.batch.length;Me++)this.batch[Me]={count:this.counts.length>1?this.counts[Me]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Me]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(Me*4,Me*4+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Me]:this.opacity,baseline:this.baselineOffset[Me]!=null?this.baselineOffset[Me]:this.baselineOffset[0],align:this.align?this.alignOffset[Me]!=null?this.alignOffset[Me]:this.alignOffset[0]:0,atlas:this.fontAtlas[Me]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(Me*2,Me*2+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]}};Vu.prototype.destroy=function(){};Vu.prototype.kerning=!0;Vu.prototype.position={constant:new Float32Array(2)};Vu.prototype.translate=null;Vu.prototype.scale=null;Vu.prototype.font=null;Vu.prototype.text=\"\";Vu.prototype.positionOffset=[0,0];Vu.prototype.opacity=1;Vu.prototype.color=new Uint8Array([0,0,0,255]);Vu.prototype.alignOffset=[0,0];Vu.maxAtlasSize=1024;Vu.atlasCanvas=document.createElement(\"canvas\");Vu.atlasContext=Vu.atlasCanvas.getContext(\"2d\",{alpha:!1});Vu.baseFontSize=64;Vu.fonts={};function bBt(e){return typeof e==\"function\"&&e._gl&&e.prop&&e.texture&&e.buffer}vOe.exports=Vu});var xF=ye((Mmr,gOe)=>{\"use strict\";var wBt=pZ(),TBt=GY();gOe.exports=function(t,r,n){var i=t._fullLayout,a=!0;return i._glcanvas.each(function(o){if(o.regl){o.regl.preloadCachedCode(n);return}if(!(o.pick&&!i._has(\"parcoords\"))){try{o.regl=TBt({canvas:this,attributes:{antialias:!o.pick,preserveDrawingBuffer:!0},pixelRatio:t._context.plotGlPixelRatio||window.devicePixelRatio,extensions:r||[],cachedCode:n||{}})}catch(s){a=!1}o.regl||(a=!1),a&&this.addEventListener(\"webglcontextlost\",function(s){t&&t.emit&&t.emit(\"plotly_webglcontextlost\",{event:s,layer:o.key})},!1)}}),a||wBt({container:i._glcontainer.node()}),a}});var QY=ye(($Y,bOe)=>{\"use strict\";var mOe=QX(),yOe=LY(),ABt=sqe(),_Oe=pOe(),JY=Mr(),SBt=Sg().selectMode,MBt=xF(),EBt=lu(),kBt=hU(),CBt=YX().styleTextSelection,xOe={};function LBt(e,t,r,n){var i=e._size,a=e.width*n,o=e.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+t.domain[0]*f,l+r.domain[0]*h,a-u-(1-t.domain[1])*f,o-c-(1-r.domain[1])*h]}var $Y=bOe.exports=function(t,r,n){if(n.length){var i=t._fullLayout,a=r._scene,o=r.xaxis,s=r.yaxis,l,u;if(a){var c=MBt(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],xOe);if(!c){a.init();return}var f=a.count,h=i._glcanvas.data()[0].regl;if(kBt(t,r,n),a.dirty){if((a.line2d||a.error2d)&&!(a.scatter2d||a.fill2d||a.glText)&&h.clear({}),a.error2d===!0&&(a.error2d=ABt(h)),a.line2d===!0&&(a.line2d=yOe(h)),a.scatter2d===!0&&(a.scatter2d=mOe(h)),a.fill2d===!0&&(a.fill2d=yOe(h)),a.glText===!0)for(a.glText=new Array(f),l=0;l<f;l++)a.glText[l]=new _Oe(h);if(a.glText){if(f>a.glText.length){var d=f-a.glText.length;for(l=0;l<d;l++)a.glText.push(new _Oe(h))}else if(f<a.glText.length){var v=a.glText.length-f,x=a.glText.splice(f,v);x.forEach(function(W){W.destroy()})}for(l=0;l<f;l++)a.glText[l].update(a.textOptions[l])}if(a.line2d&&(a.line2d.update(a.lineOptions),a.lineOptions=a.lineOptions.map(function(W){if(W&&W.positions){for(var re=W.positions,ae=0;ae<re.length&&(isNaN(re[ae])||isNaN(re[ae+1]));)ae+=2;for(var _e=re.length-2;_e>ae&&(isNaN(re[_e])||isNaN(re[_e+1]));)_e-=2;W.positions=re.slice(ae,_e+2)}return W}),a.line2d.update(a.lineOptions)),a.error2d){var b=(a.errorXOptions||[]).concat(a.errorYOptions||[]);a.error2d.update(b)}a.scatter2d&&a.scatter2d.update(a.markerOptions),a.fillOrder=JY.repeat(null,f),a.fill2d&&(a.fillOptions=a.fillOptions.map(function(W,re){var ae=n[re];if(!(!W||!ae||!ae[0]||!ae[0].trace)){var _e=ae[0],Me=_e.trace,ke=_e.t,ge=a.lineOptions[re],ie,Te,Ee=[];Me._ownfill&&Ee.push(re),Me._nexttrace&&Ee.push(re+1),Ee.length&&(a.fillOrder[re]=Ee);var Ae=[],ze=ge&&ge.positions||ke.positions,Ce,me;if(Me.fill===\"tozeroy\"){for(Ce=0;Ce<ze.length&&isNaN(ze[Ce+1]);)Ce+=2;for(me=ze.length-2;me>Ce&&isNaN(ze[me+1]);)me-=2;ze[Ce+1]!==0&&(Ae=[ze[Ce],0]),Ae=Ae.concat(ze.slice(Ce,me+2)),ze[me+1]!==0&&(Ae=Ae.concat([ze[me],0]))}else if(Me.fill===\"tozerox\"){for(Ce=0;Ce<ze.length&&isNaN(ze[Ce]);)Ce+=2;for(me=ze.length-2;me>Ce&&isNaN(ze[me]);)me-=2;ze[Ce]!==0&&(Ae=[0,ze[Ce+1]]),Ae=Ae.concat(ze.slice(Ce,me+2)),ze[me]!==0&&(Ae=Ae.concat([0,ze[me+1]]))}else if(Me.fill===\"toself\"||Me.fill===\"tonext\"){for(Ae=[],ie=0,W.splitNull=!0,Te=0;Te<ze.length;Te+=2)(isNaN(ze[Te])||isNaN(ze[Te+1]))&&(Ae=Ae.concat(ze.slice(ie,Te)),Ae.push(ze[ie],ze[ie+1]),Ae.push(null,null),ie=Te+2);Ae=Ae.concat(ze.slice(ie)),ie&&Ae.push(ze[ie],ze[ie+1])}else{var Re=Me._nexttrace;if(Re){var ce=a.lineOptions[re+1];if(ce){var Ge=ce.positions;if(Me.fill===\"tonexty\"){for(Ae=ze.slice(),re=Math.floor(Ge.length/2);re--;){var nt=Ge[re*2],ct=Ge[re*2+1];isNaN(nt)||isNaN(ct)||Ae.push(nt,ct)}W.fill=Re.fillcolor}}}}if(Me._prevtrace&&Me._prevtrace.fill===\"tonext\"){var qt=a.lineOptions[re-1].positions,rt=Ae.length/2;ie=rt;var ot=[ie];for(Te=0;Te<qt.length;Te+=2)(isNaN(qt[Te])||isNaN(qt[Te+1]))&&(ot.push(Te/2+rt+1),ie=Te+2);Ae=Ae.concat(qt),W.hole=ot}return W.fillmode=Me.fill,W.opacity=Me.opacity,W.positions=Ae,W}}),a.fill2d.update(a.fillOptions))}var g=i.dragmode,E=SBt(g),k=i.clickmode.indexOf(\"select\")>-1;for(l=0;l<f;l++){var A=n[l][0],L=A.trace,_=A.t,C=_.index,M=L._length,p=_.x,P=_.y;if(L.selectedpoints||E||k){if(E||(E=!0),L.selectedpoints){var T=a.selectBatch[C]=JY.selIndices2selPoints(L),F={};for(u=0;u<T.length;u++)F[T[u]]=1;var q=[];for(u=0;u<M;u++)F[u]||q.push(u);a.unselectBatch[C]=q}var V=_.xpx=new Array(M),H=_.ypx=new Array(M);for(u=0;u<M;u++)V[u]=o.c2p(p[u]),H[u]=s.c2p(P[u])}else _.xpx=_.ypx=null}if(E){if(a.select2d||(a.select2d=mOe(i._glcanvas.data()[1].regl)),a.scatter2d){var X=new Array(f);for(l=0;l<f;l++)X[l]=a.selectBatch[l].length||a.unselectBatch[l].length?a.markerUnselectedOptions[l]:{};a.scatter2d.update(X)}a.select2d&&(a.select2d.update(a.markerOptions),a.select2d.update(a.markerSelectedOptions)),a.glText&&n.forEach(function(W){var re=((W||[])[0]||{}).trace||{};EBt.hasText(re)&&CBt(W)})}else a.scatter2d&&a.scatter2d.update(a.markerOptions);var G={viewport:LBt(i,o,s,t._context.plotGlPixelRatio),range:[(o._rl||o.range)[0],(s._rl||s.range)[0],(o._rl||o.range)[1],(s._rl||s.range)[1]]},N=JY.repeat(G,a.count);a.fill2d&&a.fill2d.update(N),a.line2d&&a.line2d.update(N),a.error2d&&a.error2d.update(N.concat(N)),a.scatter2d&&a.scatter2d.update(N),a.select2d&&a.select2d.update(N),a.glText&&a.glText.forEach(function(W){W.update(G)})}}};$Y.reglPrecompiled=xOe});var AOe=ye((Emr,TOe)=>{\"use strict\";var wOe=Vze();wOe.plot=QY();TOe.exports=wOe});var MOe=ye((kmr,SOe)=>{\"use strict\";SOe.exports=AOe()});var eK=ye((Cmr,LOe)=>{\"use strict\";var PBt=Uc(),COe=Kl(),EOe=Oc().axisHoverFormat,IBt=Wo().hovertemplateAttrs,xk=ek(),RBt=ad().idRegex,DBt=Vs().templatedArray,dA=no().extendFlat,o1=PBt.marker,zBt=o1.line,FBt=dA(COe(\"marker.line\",{editTypeOverride:\"calc\"}),{width:dA({},zBt.width,{editType:\"calc\"}),editType:\"calc\"}),bF=dA(COe(\"marker\"),{symbol:o1.symbol,angle:o1.angle,size:dA({},o1.size,{editType:\"markerSize\"}),sizeref:o1.sizeref,sizemin:o1.sizemin,sizemode:o1.sizemode,opacity:o1.opacity,colorbar:o1.colorbar,line:FBt,editType:\"calc\"});bF.color.editType=bF.cmin.editType=bF.cmax.editType=\"style\";function kOe(e){return{valType:\"info_array\",freeLength:!0,editType:\"calc\",items:{valType:\"subplotid\",regex:RBt[e],editType:\"plot\"}}}LOe.exports={dimensions:DBt(\"dimension\",{visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},label:{valType:\"string\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},axis:{type:{valType:\"enumerated\",values:[\"linear\",\"log\",\"date\",\"category\"],editType:\"calc+clearAxisTypes\"},matches:{valType:\"boolean\",dflt:!1,editType:\"calc\"},editType:\"calc+clearAxisTypes\"},editType:\"calc+clearAxisTypes\"}),text:dA({},xk.text,{}),hovertext:dA({},xk.hovertext,{}),hovertemplate:IBt(),xhoverformat:EOe(\"x\"),yhoverformat:EOe(\"y\"),marker:bF,xaxes:kOe(\"x\"),yaxes:kOe(\"y\"),diagonal:{visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},editType:\"calc\"},showupperhalf:{valType:\"boolean\",dflt:!0,editType:\"calc\"},showlowerhalf:{valType:\"boolean\",dflt:!0,editType:\"calc\"},selected:{marker:xk.selected.marker,editType:\"calc\"},unselected:{marker:xk.unselected.marker,editType:\"calc\"},opacity:xk.opacity}});var 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n=t.cd,i=n[0].trace,a=n[0].t,o=t.scene,s=o.matrixOptions.cdata,l=t.xaxis,u=t.yaxis,c=[];if(!o)return c;var f=!oBe.hasMarkers(i)&&!oBe.hasText(i);if(i.visible!==!0||f)return c;var h=sBe.getDimIndex(i,l),d=sBe.getDimIndex(i,u);if(h===!1||d===!1)return c;var v=a.xpx[h],x=a.ypx[d],b=s[h],g=s[d],E=(t.scene.selectBatch||[]).slice(),k=[];if(r!==!1&&!r.degenerate)for(var A=0;A<b.length;A++)r.contains([v[A],x[A]],null,A,t)?(c.push({pointNumber:A,x:b[A],y:g[A]}),aBe(E,A)):E.indexOf(A)!==-1?aBe(E,A):k.push(A);var L=o.matrixOptions;return!E.length&&!k.length?o.matrix.update(L,null):!o.selectBatch.length&&!o.unselectBatch.length&&o.matrix.update(o.unselectedOptions,lBe.extendFlat({},L,o.selectedOptions,o.viewOpts)),o.selectBatch=E,o.unselectBatch=k,c}});var dBe=ye((Umr,hBe)=>{\"use strict\";var fBe=Mr(),cNt=z0(),fNt=Y2().markerStyle;hBe.exports=function(t,r){var n=r.trace,i=t._fullLayout._splomScenes[n.uid];if(i){cNt(t,n),fBe.extendFlat(i.matrixOptions,fNt(t,n));var a=fBe.extendFlat({},i.matrixOptions,i.viewOpts);i.matrix.update(a,null)}}});var pBe=ye((Vmr,vBe)=>{\"use strict\";var hNt=ba(),dNt=nV();vBe.exports={moduleType:\"trace\",name:\"splom\",categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:eK(),supplyDefaults:DOe(),colorbar:Kd(),calc:NOe(),plot:$Oe(),hoverPoints:nBe().hoverPoints,selectPoints:cBe(),editStyle:dBe(),meta:{}};hNt.register(dNt)});var bBe=ye((Hmr,xBe)=>{\"use strict\";var vNt=LY(),pNt=ba(),gNt=xF(),mNt=kd().getModuleCalcData,px=Jf(),gBe=af().getFromId,mBe=Qa().shouldShowZeroLine,yBe=\"splom\",_Be={};function yNt(e){var t=e._fullLayout,r=pNt.getModule(yBe),n=mNt(e.calcdata,r)[0],i=gNt(e,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],_Be);i&&(t._hasOnlyLargeSploms&&sK(e),r.plot(e,{},n))}function _Nt(e){var t=e.calcdata,r=e._fullLayout;r._hasOnlyLargeSploms&&sK(e);for(var n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=r._splomScenes[a.uid];a.type===\"splom\"&&o&&o.matrix&&xNt(e,a,o)}}function xNt(e,t,r){for(var n=r.matrixOptions.data.length,i=t._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],l=a[o]=new Array(4),u=gBe(e,t._diag[s][0]);u&&(l[0]=u.r2l(u.range[0]),l[2]=u.r2l(u.range[1]));var c=gBe(e,t._diag[s][1]);c&&(l[1]=c.r2l(c.range[0]),l[3]=c.r2l(c.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function sK(e){var t=e._fullLayout,r=t._glcanvas.data()[0].regl,n=t._splomGrid;n||(n=t._splomGrid=vNt(r)),n.update(bNt(e))}function bNt(e){var t=e._context.plotGlPixelRatio,r=e._fullLayout,n=r._size,i=[0,0,r.width*t,r.height*t],a={},o;function s(_,C,M,p,P,T){M*=t,p*=t,P*=t,T*=t;var F=C[_+\"color\"],q=C[_+\"width\"],V=String(F+q);V in a?a[V].data.push(NaN,NaN,M,p,P,T):a[V]={data:[M,p,P,T],join:\"rect\",thickness:q*t,color:F,viewport:i,range:i,overlay:!1}}for(o in r._splomSubplots){var l=r._plots[o],u=l.xaxis,c=l.yaxis,f=u._gridVals,h=c._gridVals,d=u._offset,v=u._length,x=c._length,b=n.b+c.domain[0]*n.h,g=-c._m,E=-g*c.r2l(c.range[0],c.calendar),k,A;if(u.showgrid)for(o=0;o<f.length;o++)k=d+u.l2p(f[o].x),s(\"grid\",u,k,b,k,b+x);if(c.showgrid)for(o=0;o<h.length;o++)A=b+E+g*h[o].x,s(\"grid\",c,d,A,d+v,A);mBe(e,u,c)&&(k=d+u.l2p(0),s(\"zeroline\",u,k,b,k,b+x)),mBe(e,c,u)&&(A=b+E+0,s(\"zeroline\",c,d,A,d+v,A))}var L=[];for(o in a)L.push(a[o]);return L}function wNt(e,t,r,n){var i={},a;if(n._splomScenes){for(a=0;a<e.length;a++){var o=e[a];o.type===\"splom\"&&(i[o.uid]=1)}for(a=0;a<r.length;a++){var s=r[a];if(!i[s.uid]){var l=n._splomScenes[s.uid];l&&l.destroy&&l.destroy(),n._splomScenes[s.uid]=null,delete n._splomScenes[s.uid]}}}Object.keys(n._splomScenes||{}).length===0&&delete n._splomScenes,n._splomGrid&&!t._hasOnlyLargeSploms&&n._hasOnlyLargeSploms&&(n._splomGrid.destroy(),n._splomGrid=null,delete n._splomGrid),px.clean(e,t,r,n)}xBe.exports={name:yBe,attr:px.attr,attrRegex:px.attrRegex,layoutAttributes:px.layoutAttributes,supplyLayoutDefaults:px.supplyLayoutDefaults,drawFramework:px.drawFramework,plot:yNt,drag:_Nt,updateGrid:sK,clean:wNt,updateFx:px.updateFx,toSVG:px.toSVG,reglPrecompiled:_Be}});var ABe=ye((Gmr,TBe)=>{\"use strict\";var wBe=pBe();wBe.basePlotModule=bBe(),TBe.exports=wBe});var MBe=ye((jmr,SBe)=>{\"use strict\";SBe.exports=ABe()});var cK=ye((Wmr,EBe)=>{\"use strict\";var TNt=Kl(),lK=Cd(),uK=Su(),ANt=Ju().attributes,CF=no().extendFlat,SNt=Vs().templatedArray;EBe.exports={domain:ANt({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:uK({editType:\"plot\"}),tickfont:uK({autoShadowDflt:!0,editType:\"plot\"}),rangefont:uK({editType:\"plot\"}),dimensions:SNt(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:CF({},lK.tickvals,{editType:\"plot\"}),ticktext:CF({},lK.ticktext,{editType:\"plot\"}),tickformat:CF({},lK.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:CF({editType:\"calc\"},TNt(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}});var Tk=ye((Zmr,kBe)=>{\"use 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Km=ye((Xmr,LBe)=>{\"use strict\";var MNt=OS();function CBe(e){return[e]}LBe.exports={keyFun:function(e){return e.key},repeat:CBe,descend:MNt,wrap:CBe,unwrap:function(e){return e[0]}}});var dK=ye((Ymr,UBe)=>{\"use strict\";var th=Tk(),em=xa(),ENt=Km().keyFun,LF=Km().repeat,mA=Mr().sorterAsc,kNt=Mr().strTranslate,PBe=th.bar.snapRatio;function IBe(e,t){return e*(1-PBe)+t*PBe}var RBe=th.bar.snapClose;function CNt(e,t){return e*(1-RBe)+t*RBe}function IF(e,t,r,n){if(LNt(r,n))return r;var i=e?-1:1,a=0,o=t.length-1;if(i<0){var s=a;a=o,o=s}for(var l=t[a],u=l,c=a;i*c<i*o;c+=i){var f=c+i,h=t[f];if(i*r<i*CNt(l,h))return IBe(l,u);if(i*r<i*h||f===o)return IBe(h,l);u=l,l=h}}function LNt(e,t){for(var r=0;r<t.length;r++)if(e>=t[r][0]&&e<=t[r][1])return!0;return!1}function PNt(e){e.attr(\"x\",-th.bar.captureWidth/2).attr(\"width\",th.bar.captureWidth)}function INt(e){e.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function RNt(e){if(!e.brush.filterSpecified)return\"0,\"+e.height;for(var t=DBe(e.brush.filter.getConsolidated(),e.height),r=[0],n,i,a,o=t.length?t[0][0]:null,s=0;s<t.length;s++)n=t[s],i=n[1]-n[0],r.push(o),r.push(i),a=s+1,a<t.length&&(o=t[a][0]-n[1]);return r.push(e.height),r}function DBe(e,t){return e.map(function(r){return r.map(function(n){return Math.max(0,n*t)}).sort(mA)})}function DNt(e,t){var r=th.bar.handleHeight;if(!(t>e[1]+r||t<e[0]-r))return t>=.9*e[1]+.1*e[0]?\"n\":t<=.9*e[0]+.1*e[1]?\"s\":\"ns\"}function zBe(){em.select(document.body).style(\"cursor\",null)}function hK(e){e.attr(\"stroke-dasharray\",RNt)}function PF(e,t){var r=em.select(e).selectAll(\".highlight, .highlight-shadow\"),n=t?r.transition().duration(th.bar.snapDuration).each(\"end\",t):r;hK(n)}function FBe(e,t){var r=e.brush,n=r.filterSpecified,i=NaN,a={},o;if(n){var s=e.height,l=r.filter.getConsolidated(),u=DBe(l,s),c=NaN,f=NaN,h=NaN;for(o=0;o<=u.length;o++){var d=u[o];if(d&&d[0]<=t&&t<=d[1]){c=o;break}else if(f=o?o-1:NaN,d&&d[0]>t){h=o;break}}if(i=c,isNaN(i)&&(isNaN(f)||isNaN(h)?i=isNaN(f)?h:f:i=t-u[f][1]<u[h][0]-t?f:h),!isNaN(i)){var v=u[i],x=DNt(v,t);x&&(a.interval=l[i],a.intervalPix=v,a.region=x)}}if(e.ordinal&&!a.region){var b=e.unitTickvals,g=e.unitToPaddedPx.invert(t);for(o=0;o<b.length;o++){var E=[b[Math.max(o-1,0)]*.25+b[o]*.75,b[Math.min(o+1,b.length-1)]*.25+b[o]*.75];if(g>=E[0]&&g<=E[1]){a.clickableOrdinalRange=E;break}}}return a}function zNt(e,t){em.event.sourceEvent.stopPropagation();var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=t.unitToPaddedPx.invert(r),i=t.brush,a=FBe(t,r),o=a.interval,s=i.svgBrush;if(s.wasDragged=!1,s.grabbingBar=a.region===\"ns\",s.grabbingBar){var l=o.map(t.unitToPaddedPx);s.grabPoint=r-l[0]-th.verticalPadding,s.barLength=l[1]-l[0]}s.clickableOrdinalRange=a.clickableOrdinalRange,s.stayingIntervals=t.multiselect&&i.filterSpecified?i.filter.getConsolidated():[],o&&(s.stayingIntervals=s.stayingIntervals.filter(function(u){return u[0]!==o[0]&&u[1]!==o[1]})),s.startExtent=a.region?o[a.region===\"s\"?1:0]:n,t.parent.inBrushDrag=!0,s.brushStartCallback()}function qBe(e,t){em.event.sourceEvent.stopPropagation();var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=t.brush.svgBrush;n.wasDragged=!0,n._dragging=!0,n.grabbingBar?n.newExtent=[r-n.grabPoint,r+n.barLength-n.grabPoint].map(t.unitToPaddedPx.invert):n.newExtent=[n.startExtent,t.unitToPaddedPx.invert(r)].sort(mA),t.brush.filterSpecified=!0,n.extent=n.stayingIntervals.concat([n.newExtent]),n.brushCallback(t),PF(e.parentNode)}function FNt(e,t){var r=t.brush,n=r.filter,i=r.svgBrush;i._dragging||(OBe(e,t),qBe(e,t),t.brush.svgBrush.wasDragged=!1),i._dragging=!1;var a=em.event;a.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,t.parent.inBrushDrag=!1,zBe(),!i.wasDragged){i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&t.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,i.extent.length===0&&fK(r)):fK(r),i.brushCallback(t),PF(e.parentNode),i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);return}var s=function(){n.set(n.getConsolidated())};if(t.ordinal){var l=t.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[IF(0,l,i.newExtent[0],i.stayingIntervals),IF(1,l,i.newExtent[1],i.stayingIntervals)];var u=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(u?[i.newExtent]:[]),i.extent.length||fK(r),i.brushCallback(t),u?PF(e.parentNode,s):(s(),PF(e.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}function OBe(e,t){var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=FBe(t,r),i=\"crosshair\";n.clickableOrdinalRange?i=\"pointer\":n.region&&(i=n.region+\"-resize\"),em.select(document.body).style(\"cursor\",i)}function qNt(e){e.on(\"mousemove\",function(t){em.event.preventDefault(),t.parent.inBrushDrag||OBe(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||zBe()}).call(em.behavior.drag().on(\"dragstart\",function(t){zNt(this,t)}).on(\"drag\",function(t){qBe(this,t)}).on(\"dragend\",function(t){FNt(this,t)}))}function BBe(e,t){return e[0]-t[0]}function ONt(e,t,r){var n=r._context.staticPlot,i=e.selectAll(\".background\").data(LF);i.enter().append(\"rect\").classed(\"background\",!0).call(PNt).call(INt).style(\"pointer-events\",n?\"none\":\"auto\").attr(\"transform\",kNt(0,th.verticalPadding)),i.call(qNt).attr(\"height\",function(s){return s.height-th.verticalPadding});var a=e.selectAll(\".highlight-shadow\").data(LF);a.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-th.bar.width/2).attr(\"stroke-width\",th.bar.width+th.bar.strokeWidth).attr(\"stroke\",t).attr(\"opacity\",th.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(s){return s.height}).call(hK);var o=e.selectAll(\".highlight\").data(LF);o.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-th.bar.width/2).attr(\"stroke-width\",th.bar.width-th.bar.strokeWidth).attr(\"stroke\",th.bar.fillColor).attr(\"opacity\",th.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),o.attr(\"y1\",function(s){return s.height}).call(hK)}function BNt(e,t,r){var n=e.selectAll(\".\"+th.cn.axisBrush).data(LF,ENt);n.enter().append(\"g\").classed(th.cn.axisBrush,!0),ONt(n,t,r)}function NNt(e){return e.svgBrush.extent.map(function(t){return t.slice()})}function fK(e){e.filterSpecified=!1,e.svgBrush.extent=[[-1/0,1/0]]}function UNt(e){return function(r){var n=r.brush,i=NNt(n),a=i.slice();n.filter.set(a),e()}}function NBe(e){for(var t=e.slice(),r=[],n,i=t.shift();i;){for(n=i.slice();(i=t.shift())&&i[0]<=n[1];)n[1]=Math.max(n[1],i[1]);r.push(n)}return r.length===1&&r[0][0]>r[0][1]&&(r=[]),r}function VNt(){var e=[],t,r;return{set:function(n){e=n.map(function(i){return i.slice().sort(mA)}).sort(BBe),e.length===1&&e[0][0]===-1/0&&e[0][1]===1/0&&(e=[[0,-1]]),t=NBe(e),r=e.reduce(function(i,a){return[Math.min(i[0],a[0]),Math.max(i[1],a[1])]},[1/0,-1/0])},get:function(){return e.slice()},getConsolidated:function(){return t},getBounds:function(){return r}}}function HNt(e,t,r,n,i,a){var o=VNt();return o.set(r),{filter:o,filterSpecified:t,svgBrush:{extent:[],brushStartCallback:n,brushCallback:UNt(i),brushEndCallback:a}}}function GNt(e,t){if(Array.isArray(e[0])?(e=e.map(function(n){return n.sort(mA)}),t.multiselect?e=NBe(e.sort(BBe)):e=[e[0]]):e=[e.sort(mA)],t.tickvals){var r=t.tickvals.slice().sort(mA);if(e=e.map(function(n){var i=[IF(0,r,n[0],[]),IF(1,r,n[1],[])];if(i[1]>i[0])return i}).filter(function(n){return n}),!e.length)return}return e.length>1?e:e[0]}UBe.exports={makeBrush:HNt,ensureAxisBrush:BNt,cleanRanges:GNt}});var GBe=ye((Kmr,HBe)=>{\"use strict\";var gx=Mr(),jNt=Dv().hasColorscale,WNt=Uh(),ZNt=Ju().defaults,XNt=Zd(),YNt=Qa(),VBe=cK(),KNt=dK(),vK=Tk().maxDimensionCount,JNt=wF();function $Nt(e,t,r,n,i){var a=i(\"line.color\",r);if(jNt(e,\"line\")&&gx.isArrayOrTypedArray(a)){if(a.length)return i(\"line.colorscale\"),WNt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function QNt(e,t,r,n){function i(u,c){return gx.coerce(e,t,VBe.dimensions,u,c)}var a=i(\"values\"),o=i(\"visible\");if(a&&a.length||(o=t.visible=!1),o){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var s=i(\"range\");t._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:s},YNt.setConvert(t._ax,n.layout),i(\"multiselect\");var l=i(\"constraintrange\");l&&(t.constraintrange=KNt.cleanRanges(l,t))}}HBe.exports=function(t,r,n,i){function a(c,f){return gx.coerce(t,r,VBe,c,f)}var o=t.dimensions;Array.isArray(o)&&o.length>vK&&(gx.log(\"parcoords traces support up to \"+vK+\" dimensions at the moment\"),o.splice(vK));var s=XNt(t,r,{name:\"dimensions\",layout:i,handleItemDefaults:QNt}),l=$Nt(t,r,n,i,a);ZNt(r,i,a),(!Array.isArray(s)||!s.length)&&(r.visible=!1),JNt(r,s,\"values\",l);var u=gx.extendFlat({},i.font,{size:Math.round(i.font.size/1.2)});gx.coerceFont(a,\"labelfont\",u),gx.coerceFont(a,\"tickfont\",u,{autoShadowDflt:!0}),gx.coerceFont(a,\"rangefont\",u),a(\"labelangle\"),a(\"labelside\"),a(\"unselected.line.color\"),a(\"unselected.line.opacity\")}});var WBe=ye((Jmr,jBe)=>{\"use strict\";var eUt=Mr().isArrayOrTypedArray,pK=Mu(),tUt=Km().wrap;jBe.exports=function(t,r){var n,i;return pK.hasColorscale(r,\"line\")&&eUt(r.line.color)?(n=r.line.color,i=pK.extractOpts(r.line).colorscale,pK.calc(t,r,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=rUt(r._length),i=[[0,r.line.color],[1,r.line.color]]),tUt({lineColor:n,cscale:i})};function rUt(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=.5;return t}});var gK=ye(RF=>{\"use strict\";var iUt=Mr().isTypedArray;RF.convertTypedArray=function(e){return iUt(e)?Array.prototype.slice.call(e):e};RF.isOrdinal=function(e){return!!e.tickvals};RF.isVisible=function(e){return e.visible||!(\"visible\"in e)}});var rNe=ye((Qmr,tNe)=>{\"use strict\";var nUt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(`\n",
+       "`),aUt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(`\n",
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Array(e*(Ak+4)),i=0,a=0;a<e;a++){for(var o=0;o<Ak;o++)n[i++]=o<t.length?t[o].paddedUnitValues[a]:.5;n[i++]=mK(a,2),n[i++]=mK(a,1),n[i++]=mK(a,0),n[i++]=uUt(r[a])}return n}function hUt(e,t,r){for(var n=new Array(t*8),i=0,a=0;a<t;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=e*4+s,u=r[a*64+l];l===63&&o===0&&(u*=-1),n[i++]=u}return n}function KBe(e){var t=\"0\"+e;return t.substr(t.length-2)}function eNe(e){return e<Ak?\"p\"+KBe(e+1)+\"_\"+KBe(e+4):\"colors\"}function dUt(e,t,r){for(var n=0;n<=Ak;n+=4)e[eNe(n)](hUt(n/4,t,r))}function vUt(e){for(var t={},r=0;r<=Ak;r+=4)t[eNe(r)]=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return t}function pUt(e,t,r,n,i,a,o,s,l,u,c,f,h,d){for(var v=[[],[]],x=0;x<64;x++)v[0][x]=x===i?1:0,v[1][x]=x===a?1:0;o*=d,s*=d,l*=d,u*=d;var b=e.lines.canvasOverdrag*d,g=e.domain,E=e.canvasWidth*d,k=e.canvasHeight*d,A=e.pad.l*d,L=e.pad.b*d,_=e.layoutHeight*d,C=e.layoutWidth*d,M=e.deselectedLines.color,p=e.deselectedLines.opacity,P=$Be.extendFlat({key:c,resolution:[E,k],viewBoxPos:[o+b,s],viewBoxSize:[l,u],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:f,contextColor:[M[0]/255,M[1]/255,M[2]/255,p!==\"auto\"?M[3]*p:Math.max(1/255,Math.pow(1/e.lines.color.length,1/3))],scissorX:(n===t?0:o+b)+(A-b)+C*g.x[0],scissorWidth:(n===r?E-o+b:l+.5)+(n===t?o+b:0),scissorY:s+L+_*g.y[0],scissorHeight:u,viewportX:A-b+C*g.x[0],viewportY:L+_*g.y[0],viewportWidth:E,viewportHeight:k},h);return P}function JBe(e){var t=DF-1,r=Math.max(0,Math.floor(e[0]*t),0),n=Math.min(t,Math.ceil(e[1]*t),t);return[Math.min(r,n),Math.max(r,n)]}tNe.exports=function(e,t){var r=t.context,n=t.pick,i=t.regl,a=i._gl,o=a.getParameter(a.ALIASED_LINE_WIDTH_RANGE),s=Math.max(o[0],Math.min(o[1],t.viewModel.plotGlPixelRatio)),l={currentRafs:{},drawCompleted:!0,clearOnly:!1},u,c,f,h,d=vUt(i),v,x=i.texture(YBe),b=[];E(t);var g=i({profile:!1,blend:{enable:r,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!r,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:i.prop(\"scissorX\"),y:i.prop(\"scissorY\"),width:i.prop(\"scissorWidth\"),height:i.prop(\"scissorHeight\")}},viewport:{x:i.prop(\"viewportX\"),y:i.prop(\"viewportY\"),width:i.prop(\"viewportWidth\"),height:i.prop(\"viewportHeight\")},dither:!1,vert:nUt,frag:aUt,primitive:\"lines\",lineWidth:s,attributes:d,uniforms:{resolution:i.prop(\"resolution\"),viewBoxPos:i.prop(\"viewBoxPos\"),viewBoxSize:i.prop(\"viewBoxSize\"),dim0A:i.prop(\"dim0A\"),dim1A:i.prop(\"dim1A\"),dim0B:i.prop(\"dim0B\"),dim1B:i.prop(\"dim1B\"),dim0C:i.prop(\"dim0C\"),dim1C:i.prop(\"dim1C\"),dim0D:i.prop(\"dim0D\"),dim1D:i.prop(\"dim1D\"),loA:i.prop(\"loA\"),hiA:i.prop(\"hiA\"),loB:i.prop(\"loB\"),hiB:i.prop(\"hiB\"),loC:i.prop(\"loC\"),hiC:i.prop(\"hiC\"),loD:i.prop(\"loD\"),hiD:i.prop(\"hiD\"),palette:x,contextColor:i.prop(\"contextColor\"),maskTexture:i.prop(\"maskTexture\"),drwLayer:i.prop(\"drwLayer\"),maskHeight:i.prop(\"maskHeight\")},offset:i.prop(\"offset\"),count:i.prop(\"count\")});function E(M){u=M.model,c=M.viewModel,f=c.dimensions.slice(),h=f[0]?f[0].values.length:0;var p=u.lines,P=n?p.color.map(function(F,q){return q/p.color.length}):p.color,T=fUt(h,f,P);dUt(d,h,T),!r&&!n&&(x=i.texture($Be.extendFlat({data:cUt(u.unitToColor,255)},YBe)))}function k(M){var p,P,T,F=[[],[]];for(T=0;T<64;T++){var q=!M&&T<f.length?f[T].brush.filter.getBounds():[-1/0,1/0];F[0][T]=q[0],F[1][T]=q[1]}var V=DF*8,H=new Array(V);for(p=0;p<V;p++)H[p]=255;if(!M)for(p=0;p<f.length;p++){var X=p%8,G=(p-X)/8,N=Math.pow(2,X),W=f[p],re=W.brush.filter.get();if(!(re.length<2)){var ae=JBe(re[0])[1];for(P=1;P<re.length;P++){var _e=JBe(re[P]);for(T=ae+1;T<_e[0];T++)H[T*8+G]&=~N;ae=Math.max(ae,_e[1])}}}var Me={shape:[8,DF],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:H};return v?v(Me):v=i.texture(Me),{maskTexture:v,maskHeight:DF,loA:F[0].slice(0,16),loB:F[0].slice(16,32),loC:F[0].slice(32,48),loD:F[0].slice(48,64),hiA:F[1].slice(0,16),hiB:F[1].slice(16,32),hiC:F[1].slice(32,48),hiD:F[1].slice(48,64)}}function A(M,p,P){var T=M.length,F,q,V,H=1/0,X=-1/0;for(F=0;F<T;F++)M[F].dim0.canvasX<H&&(H=M[F].dim0.canvasX,q=F),M[F].dim1.canvasX>X&&(X=M[F].dim1.canvasX,V=F);T===0&&QBe(i,0,0,u.canvasWidth,u.canvasHeight);var G=k(r);for(F=0;F<T;F++){var N=M[F],W=N.dim0.crossfilterDimensionIndex,re=N.dim1.crossfilterDimensionIndex,ae=N.canvasX,_e=N.canvasY,Me=ae+N.panelSizeX,ke=N.plotGlPixelRatio;if(p||!b[W]||b[W][0]!==ae||b[W][1]!==Me){b[W]=[ae,Me];var ge=pUt(u,q,V,F,W,re,ae,_e,N.panelSizeX,N.panelSizeY,N.dim0.crossfilterDimensionIndex,r?0:n?2:1,G,ke);l.clearOnly=P;var ie=p?u.lines.blockLineCount:h;lUt(i,g,l,ie,h,ge)}}}function L(M,p){return i.read({x:M,y:p,width:1,height:1,data:XBe}),XBe}function _(M,p,P,T){var F=new Uint8Array(4*P*T);return i.read({x:M,y:p,width:P,height:T,data:F}),F}function C(){e.style[\"pointer-events\"]=\"none\",x.destroy(),v&&v.destroy();for(var M in d)d[M].destroy()}return{render:A,readPixel:L,readPixels:_,destroy:C,update:E}}});var gNe=ye((eyr,pNe)=>{\"use strict\";var zd=xa(),l1=Mr(),yK=l1.isArrayOrTypedArray,lNe=l1.numberFormat,uNe=rZ(),cNe=Qa(),gUt=l1.strRotate,Jm=l1.strTranslate,mUt=Ll(),zF=ao(),iNe=Mu(),bK=Km(),tg=bK.keyFun,$m=bK.repeat,fNe=bK.unwrap,yA=gK(),ll=Tk(),hNe=dK(),yUt=rNe();function nNe(e,t,r){return l1.aggNums(e,null,t,r)}function dNe(e,t){return wK(nNe(Math.min,e,t),nNe(Math.max,e,t))}function FF(e){var t=e.range;return t?wK(t[0],t[1]):dNe(e.values,e._length)}function wK(e,t){return(isNaN(e)||!isFinite(e))&&(e=0),(isNaN(t)||!isFinite(t))&&(t=0),e===t&&(e===0?(e-=1,t+=1):(e*=.9,t*=1.1)),[e,t]}function _Ut(e,t){return t?function(r,n){var i=t[n];return i==null?e(r):i}:e}function xUt(e,t,r,n,i){var a=FF(r);return n?zd.scale.ordinal().domain(n.map(_Ut(lNe(r.tickformat),i))).range(n.map(function(o){var s=(o-a[0])/(a[1]-a[0]);return e-t+s*(2*t-e)})):zd.scale.linear().domain(a).range([e-t,t])}function bUt(e,t){return zd.scale.linear().range([t,e-t])}function wUt(e,t){return zd.scale.linear().domain(FF(e)).range([t,1-t])}function TUt(e){if(e.tickvals){var t=FF(e);return zd.scale.ordinal().domain(e.tickvals).range(e.tickvals.map(function(r){return(r-t[0])/(t[1]-t[0])}))}}function AUt(e){var t=e.map(function(a){return a[0]}),r=e.map(function(a){var o=uNe(a[1]);return zd.rgb(\"rgb(\"+o[0]+\",\"+o[1]+\",\"+o[2]+\")\")}),n=function(a){return function(o){return o[a]}},i=\"rgb\".split(\"\").map(function(a){return zd.scale.linear().clamp(!0).domain(t).range(r.map(n(a)))});return function(a){return i.map(function(o){return o(a)})}}function xK(e){return e.dimensions.some(function(t){return t.brush.filterSpecified})}function SUt(e,t,r){var 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l=i.font;_A.coerceFont(a,\"labelfont\",l,{overrideDflt:{size:Math.round(l.size)}}),_A.coerceFont(a,\"tickfont\",l,{autoShadowDflt:!0,overrideDflt:{size:Math.round(l.size/1.2)}})}});var ONe=ye((syr,qNe)=>{\"use strict\";var ZUt=Km().wrap,XUt=Dv().hasColorscale,YUt=zv(),KUt=Gq(),JUt=ao(),Mk=Mr(),$Ut=uo();qNe.exports=function(t,r){var n=Mk.filterVisible(r.dimensions);if(n.length===0)return[];var i=n.map(function(p){var P;if(p.categoryorder===\"trace\")P=null;else if(p.categoryorder===\"array\")P=p.categoryarray;else{P=KUt(p.values);for(var T=!0,F=0;F<P.length;F++)if(!$Ut(P[F])){T=!1;break}P.sort(T?Mk.sorterAsc:void 0),p.categoryorder===\"category descending\"&&(P=P.reverse())}return aVt(p.values,P)}),a,o,s;Mk.isArrayOrTypedArray(r.counts)?a=r.counts:a=[r.counts],oVt(n),n.forEach(function(p,P){sVt(p,i[P])});var l=r.line,u;l?(XUt(r,\"line\")&&YUt(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),u=JUt.tryColorscale(l)):u=Mk.identity;function c(p){var P,T;return Mk.isArrayOrTypedArray(l.color)?(P=l.color[p%l.color.length],T=P):P=l.color,{color:u(P),rawColor:T}}var f=n[0].values.length,h={},d=i.map(function(p){return p.inds});s=0;var v,x;for(v=0;v<f;v++){var b=[];for(x=0;x<d.length;x++)b.push(d[x][v]);o=a[v%a.length],s+=o;var g=c(v),E=b+\"-\"+g.rawColor;h[E]===void 0&&(h[E]=iVt(b,g.color,g.rawColor)),nVt(h[E],v,o)}var k=n.map(function(p,P){return eVt(P,p._index,p._displayindex,p.label,s)});for(v=0;v<f;v++)for(o=a[v%a.length],x=0;x<k.length;x++){var A=k[x].containerInd,L=i[x].inds[v],_=k[x].categories;if(_[L]===void 0){var C=r.dimensions[A]._categoryarray[L],M=r.dimensions[A]._ticktext[L];_[L]=tVt(x,L,C,M)}rVt(_[L],v,o)}return ZUt(QUt(k,h,s))};function QUt(e,t,r){var n=e.map(function(i){return i.categories.length}).reduce(function(i,a){return Math.max(i,a)});return{dimensions:e,paths:t,trace:void 0,maxCats:n,count:r}}function eVt(e,t,r,n,i){return{dimensionInd:e,containerInd:t,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}function tVt(e,t,r,n){return{dimensionInd:e,categoryInd:t,categoryValue:r,displayInd:t,categoryLabel:n,valueInds:[],count:0,dragY:null}}function rVt(e,t,r){e.valueInds.push(t),e.count+=r}function iVt(e,t,r){return{categoryInds:e,color:t,rawColor:r,valueInds:[],count:0}}function nVt(e,t,r){e.valueInds.push(t),e.count+=r}function aVt(e,t){t==null?t=[]:t=t.map(function(u){return u});var r={},n={},i=[];t.forEach(function(u,c){r[u]=0,n[u]=c});for(var a=0;a<e.length;a++){var o=e[a],s;r[o]===void 0?(r[o]=1,s=t.push(o)-1,n[o]=s):(r[o]++,s=n[o]),i.push(s)}var l=t.map(function(u){return r[u]});return{uniqueValues:t,uniqueCounts:l,inds:i}}function oVt(e){var t=e.map(function(n){return n.displayindex}),r;if(lVt(t))for(r=0;r<e.length;r++)e[r]._displayindex=e[r].displayindex;else for(r=0;r<e.length;r++)e[r]._displayindex=r}function sVt(e,t){e._categoryarray=t.uniqueValues,e.ticktext===null||e.ticktext===void 0?e._ticktext=[]:e._ticktext=e.ticktext.slice();for(var r=e._ticktext.length;r<t.uniqueValues.length;r++)e._ticktext.push(t.uniqueValues[r])}function lVt(e){for(var t=new Array(e.length),r=0;r<e.length;r++){if(e[r]<0||e[r]>=e.length||t[e[r]]!==void 0)return!1;t[e[r]]=!0}return!0}});var ZNe=ye((lyr,WNe)=>{\"use strict\";var ul=xa(),uVt=(R2(),ab(I2)).interpolateNumber,cVt=qP(),Ck=Nc(),mx=Mr(),Ek=mx.strTranslate,BNe=ao(),MK=id(),fVt=Ll();function hVt(e,t,r,n){var i=t._context.staticPlot,a=e.map(EVt.bind(0,t,r)),o=n.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",i?\"none\":\"all\");var s=o.selectAll(\"g.trace.parcats\").data(a,u1),l=s.enter().append(\"g\").attr(\"class\",\"trace parcats\");s.attr(\"transform\",function(E){return Ek(E.x,E.y)}),l.append(\"g\").attr(\"class\",\"paths\");var u=s.select(\"g.paths\"),c=u.selectAll(\"path.path\").data(function(E){return E.paths},u1);c.attr(\"fill\",function(E){return E.model.color});var f=c.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(E){return E.model.color}).attr(\"fill-opacity\",0);CK(f),c.attr(\"d\",function(E){return E.svgD}),f.empty()||c.sort(EK),c.exit().remove(),c.on(\"mouseover\",dVt).on(\"mouseout\",vVt).on(\"click\",pVt),l.append(\"g\").attr(\"class\",\"dimensions\");var h=s.select(\"g.dimensions\"),d=h.selectAll(\"g.dimension\").data(function(E){return E.dimensions},u1);d.enter().append(\"g\").attr(\"class\",\"dimension\"),d.attr(\"transform\",function(E){return Ek(E.x,0)}),d.exit().remove();var v=d.selectAll(\"g.category\").data(function(E){return E.categories},u1),x=v.enter().append(\"g\").attr(\"class\",\"category\");v.attr(\"transform\",function(E){return Ek(0,E.y)}),x.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),v.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",function(E){return E.width}).attr(\"height\",function(E){return E.height}),UNe(x);var b=v.selectAll(\"rect.bandrect\").data(function(E){return E.bands},u1);b.each(function(){mx.raiseToTop(this)}),b.attr(\"fill\",function(E){return E.color});var g=b.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",function(E){return E.color}).attr(\"fill-opacity\",0);b.attr(\"fill\",function(E){return E.color}).attr(\"width\",function(E){return E.width}).attr(\"height\",function(E){return E.height}).attr(\"y\",function(E){return E.y}).attr(\"cursor\",function(E){return E.parcatsViewModel.arrangement===\"fixed\"?\"default\":E.parcatsViewModel.arrangement===\"perpendicular\"?\"ns-resize\":\"move\"}),PK(g),b.exit().remove(),x.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),v.select(\"text.catlabel\").attr(\"text-anchor\",function(E){return kk(E)?\"start\":\"end\"}).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",function(E){return kk(E)?E.width+5:-5}).attr(\"y\",function(E){return E.height/2}).text(function(E){return E.model.categoryLabel}).each(function(E){BNe.font(ul.select(this),E.parcatsViewModel.categorylabelfont),fVt.convertToTspans(ul.select(this),t)}),x.append(\"text\").attr(\"class\",\"dimlabel\"),v.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",function(E){return E.parcatsViewModel.arrangement===\"fixed\"?\"default\":\"ew-resize\"}).attr(\"x\",function(E){return E.width/2}).attr(\"y\",-5).text(function(E,k){return k===0?E.parcatsViewModel.model.dimensions[E.model.dimensionInd].dimensionLabel:null}).each(function(E){BNe.font(ul.select(this),E.parcatsViewModel.labelfont)}),v.selectAll(\"rect.bandrect\").on(\"mouseover\",wVt).on(\"mouseout\",TVt),v.exit().remove(),d.call(ul.behavior.drag().origin(function(E){return{x:E.x,y:0}}).on(\"dragstart\",AVt).on(\"drag\",SVt).on(\"dragend\",MVt)),s.each(function(E){E.traceSelection=ul.select(this),E.pathSelection=ul.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),E.dimensionSelection=ul.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")}),s.exit().remove()}WNe.exports=function(e,t,r,n){hVt(r,e,n,t)};function u1(e){return e.key}function kk(e){var t=e.parcatsViewModel.dimensions.length,r=e.parcatsViewModel.dimensions[t-1].model.dimensionInd;return e.model.dimensionInd===r}function EK(e,t){return e.model.rawColor>t.model.rawColor?1:e.model.rawColor<t.model.rawColor?-1:0}function dVt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){mx.raiseToTop(this),LK(ul.select(this));var t=Lk(e),r=kK(e);if(e.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:t,event:ul.event,constraints:r}),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var n=ul.mouse(this)[0],i=e.parcatsViewModel.graphDiv,a=e.parcatsViewModel.trace,o=i._fullLayout,s=o._paperdiv.node().getBoundingClientRect(),l=e.parcatsViewModel.graphDiv.getBoundingClientRect(),u,c,f;for(f=0;f<e.leftXs.length-1;f++)if(e.leftXs[f]+e.dimWidths[f]-2<=n&&n<=e.leftXs[f+1]+2){var h=e.parcatsViewModel.dimensions[f],d=e.parcatsViewModel.dimensions[f+1];u=(h.x+h.width+d.x)/2,c=(e.topYs[f]+e.topYs[f+1]+e.height)/2;break}var v=e.parcatsViewModel.x+u,x=e.parcatsViewModel.y+c,b=MK.mostReadable(e.model.color,[\"black\",\"white\"]),g=e.model.count,E=g/e.parcatsViewModel.model.count,k={countLabel:g,probabilityLabel:E.toFixed(3)},A=[];e.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&A.push([\"Count:\",k.countLabel].join(\" \")),e.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&A.push([\"P:\",k.probabilityLabel].join(\" \"));var L=A.join(\"<br>\"),_=ul.mouse(i)[0];Ck.loneHover({trace:a,x:v-s.left+l.left,y:x-s.top+l.top,text:L,color:e.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:b,idealAlign:_<v?\"right\":\"left\",hovertemplate:(a.line||{}).hovertemplate,hovertemplateLabels:k,eventData:[{data:a._input,fullData:a,count:g,probability:E}]},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:i})}}}function vVt(e){if(!e.parcatsViewModel.dragDimension&&(CK(ul.select(this)),Ck.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),e.parcatsViewModel.pathSelection.sort(EK),e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1)){var t=Lk(e),r=kK(e);e.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:t,event:ul.event,constraints:r})}}function Lk(e){for(var t=[],r=HNe(e.parcatsViewModel),n=0;n<e.model.valueInds.length;n++){var i=e.model.valueInds[n];t.push({curveNumber:r,pointNumber:i})}return t}function kK(e){for(var t={},r=e.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[e.model.categoryInds[n]];t[i.containerInd]=a.categoryValue}return e.model.rawColor!==void 0&&(t.color=e.model.rawColor),t}function pVt(e){if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Lk(e),r=kK(e);e.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:t,event:ul.event,constraints:r})}}function CK(e){e.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function LK(e){e.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return MK.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function gVt(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}function UNe(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function mVt(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}function PK(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function qF(e){var t=e.parcatsViewModel.pathSelection,r=e.categoryViewModel.model.dimensionInd,n=e.categoryViewModel.model.categoryInd;return t.filter(function(i){return i.model.categoryInds[r]===n&&i.model.color===e.color})}function yVt(e){var t=ul.select(e.parentNode).selectAll(\"rect.bandrect\");t.each(function(r){var n=qF(r);LK(n),n.each(function(){mx.raiseToTop(this)})}),gVt(ul.select(e.parentNode))}function _Vt(e){var t=ul.select(e).datum(),r=qF(t);LK(r),r.each(function(){mx.raiseToTop(this)}),ul.select(e.parentNode).selectAll(\"rect.bandrect\").filter(function(n){return n.color===t.color}).each(function(){mx.raiseToTop(this),mVt(ul.select(this))})}function IK(e,t,r){var n=ul.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=ul.select(e.parentNode).selectAll(\"rect.bandrect\"),s=[];o.each(function(u){var c=qF(u);c.each(function(f){Array.prototype.push.apply(s,Lk(f))})});var l={};l[i.dimensionInd]=i.categoryValue,a.emit(t,{points:s,event:r,constraints:l})}function RK(e,t,r){var n=ul.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=qF(n),s=[];o.each(function(u){Array.prototype.push.apply(s,Lk(u))});var l={};l[i.dimensionInd]=i.categoryValue,n.rawColor!==void 0&&(l.color=n.rawColor),a.emit(t,{points:s,event:r,constraints:l})}function VNe(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=ul.select(r.parentNode).select(\"rect.catrect\"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=o.top+o.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=o.left,d=\"left\"):(h=o.left+o.width,d=\"right\");var v=s.model.count,x=s.model.categoryLabel,b=v/s.parcatsViewModel.model.count,g={countLabel:v,categoryLabel:x,probabilityLabel:b.toFixed(3)},E=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&E.push([\"Count:\",g.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&E.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var k=E.join(\"<br>\");return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:k,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:g,eventData:[{data:c._input,fullData:c,count:v,category:x,probability:b}]}}function xVt(e,t,r){var n=[];return ul.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){var i=this;n.push(VNe(e,t,i))}),n}function bVt(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=r.getBoundingClientRect(),o=ul.select(r).datum(),s=o.categoryViewModel,l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=a.y+a.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=a.left,d=\"left\"):(h=a.left+a.width,d=\"right\");var v=s.model.categoryLabel,x=o.parcatsViewModel.model.count,b=0;o.categoryViewModel.bands.forEach(function(P){P.color===o.color&&(b+=P.count)});var g=s.model.count,E=0;l.pathSelection.each(function(P){P.model.color===o.color&&(E+=P.model.count)});var k=b/x,A=b/E,L=b/g,_={countLabel:b,categoryLabel:v,probabilityLabel:k.toFixed(3)},C=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&C.push([\"Count:\",_.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&(C.push(\"P(color \\u2229 \"+v+\"): \"+_.probabilityLabel),C.push(\"P(\"+v+\" | color): \"+A.toFixed(3)),C.push(\"P(color | \"+v+\"): \"+L.toFixed(3)));var M=C.join(\"<br>\"),p=MK.mostReadable(o.color,[\"black\",\"white\"]);return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:M,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:p,fontSize:10,idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:_,eventData:[{data:c._input,fullData:c,category:v,count:x,probability:k,categorycount:g,colorcount:E,bandcolorcount:b}]}}function wVt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=ul.mouse(this)[1];if(t<-1)return;var r=e.parcatsViewModel.graphDiv,n=r._fullLayout,i=n._paperdiv.node().getBoundingClientRect(),a=e.parcatsViewModel.hoveron,o=this;if(a===\"color\"?(_Vt(o),RK(o,\"plotly_hover\",ul.event)):(yVt(o),IK(o,\"plotly_hover\",ul.event)),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var s;a===\"category\"?s=VNe(r,i,o):a===\"color\"?s=bVt(r,i,o):a===\"dimension\"&&(s=xVt(r,i,o)),s&&Ck.loneHover(s,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:r})}}}function TVt(e){var t=e.parcatsViewModel;if(!t.dragDimension&&(CK(t.pathSelection),UNe(t.dimensionSelection.selectAll(\"g.category\")),PK(t.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),Ck.loneUnhover(t.graphDiv._fullLayout._hoverlayer.node()),t.pathSelection.sort(EK),t.hoverinfoItems.indexOf(\"skip\")===-1)){var r=e.parcatsViewModel.hoveron,n=this;r===\"color\"?RK(n,\"plotly_unhover\",ul.event):IK(n,\"plotly_unhover\",ul.event)}}function AVt(e){e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragDimensionDisplayInd=e.model.displayInd,e.initialDragDimensionDisplayInds=e.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),e.dragHasMoved=!1,e.dragCategoryDisplayInd=null,ul.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(t){var r=ul.mouse(this)[0],n=ul.mouse(this)[1];-2<=r&&r<=t.width+2&&-2<=n&&n<=t.height+2&&(e.dragCategoryDisplayInd=t.model.displayInd,e.initialDragCategoryDisplayInds=e.model.categories.map(function(i){return i.displayInd}),t.model.dragY=t.y,mx.raiseToTop(this.parentNode),ul.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(i){i.y<n&&n<=i.y+i.height&&(e.potentialClickBand=this)}))}),e.parcatsViewModel.dragDimension=e,Ck.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function SVt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragHasMoved=!0,e.dragDimensionDisplayInd!==null)){var t=e.dragDimensionDisplayInd,r=t-1,n=t+1,i=e.parcatsViewModel.dimensions[t];if(e.dragCategoryDisplayInd!==null){var a=i.categories[e.dragCategoryDisplayInd];a.model.dragY+=ul.event.dy;var o=a.model.dragY,s=a.model.displayInd,l=i.categories,u=l[s-1],c=l[s+1];u!==void 0&&o<u.y+u.height/2&&(a.model.displayInd=u.model.displayInd,u.model.displayInd=s),c!==void 0&&o+a.height>c.y+c.height/2&&(a.model.displayInd=c.model.displayInd,c.model.displayInd=s),e.dragCategoryDisplayInd=a.model.displayInd}if(e.dragCategoryDisplayInd===null||e.parcatsViewModel.arrangement===\"freeform\"){i.model.dragX=ul.event.x;var f=e.parcatsViewModel.dimensions[r],h=e.parcatsViewModel.dimensions[n];f!==void 0&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=t),h!==void 0&&i.model.dragX+i.width>h.x&&(i.model.displayInd=h.model.displayInd,h.model.displayInd=e.dragDimensionDisplayInd),e.dragDimensionDisplayInd=i.model.displayInd}zK(e.parcatsViewModel),DK(e.parcatsViewModel),jNe(e.parcatsViewModel),GNe(e.parcatsViewModel)}}function MVt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&e.dragDimensionDisplayInd!==null){ul.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var t={},r=HNe(e.parcatsViewModel),n=e.parcatsViewModel.model.dimensions.map(function(h){return h.displayInd}),i=e.initialDragDimensionDisplayInds.some(function(h,d){return h!==n[d]});i&&n.forEach(function(h,d){var v=e.parcatsViewModel.model.dimensions[d].containerInd;t[\"dimensions[\"+v+\"].displayindex\"]=h});var a=!1;if(e.dragCategoryDisplayInd!==null){var o=e.model.categories.map(function(h){return h.displayInd});if(a=e.initialDragCategoryDisplayInds.some(function(h,d){return h!==o[d]}),a){var s=e.model.categories.slice().sort(function(h,d){return h.displayInd-d.displayInd}),l=s.map(function(h){return h.categoryValue}),u=s.map(function(h){return h.categoryLabel});t[\"dimensions[\"+e.model.containerInd+\"].categoryarray\"]=[l],t[\"dimensions[\"+e.model.containerInd+\"].ticktext\"]=[u],t[\"dimensions[\"+e.model.containerInd+\"].categoryorder\"]=\"array\"}}if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1&&!e.dragHasMoved&&e.potentialClickBand&&(e.parcatsViewModel.hoveron===\"color\"?RK(e.potentialClickBand,\"plotly_click\",ul.event.sourceEvent):IK(e.potentialClickBand,\"plotly_click\",ul.event.sourceEvent)),e.model.dragX=null,e.dragCategoryDisplayInd!==null){var c=e.parcatsViewModel.dimensions[e.dragDimensionDisplayInd].categories[e.dragCategoryDisplayInd];c.model.dragY=null,e.dragCategoryDisplayInd=null}e.dragDimensionDisplayInd=null,e.parcatsViewModel.dragDimension=null,e.dragHasMoved=null,e.potentialClickBand=null,zK(e.parcatsViewModel),DK(e.parcatsViewModel);var f=ul.transition().duration(300).ease(\"cubic-in-out\");f.each(function(){jNe(e.parcatsViewModel,!0),GNe(e.parcatsViewModel,!0)}).each(\"end\",function(){(i||a)&&cVt.restyle(e.parcatsViewModel.graphDiv,t,[r])})}}function HNe(e){for(var t,r=e.graphDiv._fullData,n=0;n<r.length;n++)if(e.key===r[n].uid){t=n;break}return t}function GNe(e,t){t===void 0&&(t=!1);function r(n){return t?n.transition():n}e.pathSelection.data(function(n){return n.paths},u1),r(e.pathSelection).attr(\"d\",function(n){return n.svgD})}function jNe(e,t){t===void 0&&(t=!1);function r(l){return t?l.transition():l}e.dimensionSelection.data(function(l){return l.dimensions},u1);var n=e.dimensionSelection.selectAll(\"g.category\").data(function(l){return l.categories},u1);r(e.dimensionSelection).attr(\"transform\",function(l){return Ek(l.x,0)}),r(n).attr(\"transform\",function(l){return Ek(0,l.y)});var i=n.select(\".dimlabel\");i.text(function(l,u){return u===0?l.parcatsViewModel.model.dimensions[l.model.dimensionInd].dimensionLabel:null});var a=n.select(\".catlabel\");a.attr(\"text-anchor\",function(l){return kk(l)?\"start\":\"end\"}).attr(\"x\",function(l){return kk(l)?l.width+5:-5}).each(function(l){var u,c;kk(l)?(u=l.width+5,c=\"start\"):(u=-5,c=\"end\"),ul.select(this).selectAll(\"tspan\").attr(\"x\",u).attr(\"text-anchor\",c)});var o=n.selectAll(\"rect.bandrect\").data(function(l){return l.bands},u1),s=o.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(l){return l.color}).attr(\"fill-opacity\",0);o.attr(\"fill\",function(l){return l.color}).attr(\"width\",function(l){return l.width}).attr(\"height\",function(l){return l.height}).attr(\"y\",function(l){return l.y}),PK(s),o.each(function(){mx.raiseToTop(this)}),o.exit().remove()}function EVt(e,t,r){var n=r[0],i=t.margin||{l:80,r:80,t:100,b:80},a=n.trace,o=a.domain,s=t.width,l=t.height,u=Math.floor(s*(o.x[1]-o.x[0])),c=Math.floor(l*(o.y[1]-o.y[0])),f=o.x[0]*s+i.l,h=t.height-o.y[1]*t.height+i.t,d=a.line.shape,v;a.hoverinfo===\"all\"?v=[\"count\",\"probability\"]:v=(a.hoverinfo||\"\").split(\"+\");var x={trace:a,key:a.uid,model:n,x:f,y:h,width:u,height:c,hoveron:a.hoveron,hoverinfoItems:v,arrangement:a.arrangement,bundlecolors:a.bundlecolors,sortpaths:a.sortpaths,labelfont:a.labelfont,categorylabelfont:a.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:e,traceSelection:null,pathSelection:null,dimensionSelection:null};return n.dimensions&&(zK(x),DK(x)),x}function NNe(e,t,r,n,i){var a=[],o=[],s,l;for(l=0;l<r.length-1;l++)s=uVt(r[l]+e[l],e[l+1]),a.push(s(i)),o.push(s(1-i));var u=\"M \"+e[0]+\",\"+t[0];for(u+=\"l\"+r[0]+\",0 \",l=1;l<r.length;l++)u+=\"C\"+a[l-1]+\",\"+t[l-1]+\" \"+o[l-1]+\",\"+t[l]+\" \"+e[l]+\",\"+t[l],u+=\"l\"+r[l]+\",0 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e.sortpaths===\"backward\"&&(H.reverse(),X.reverse()),H.push(q.valueInds[0]),X.push(V.valueInds[0]),e.bundlecolors&&(H.unshift(q.rawColor),X.unshift(V.rawColor)),H<X?-1:H>X?1:0});for(var h=new Array(u.length),d=t[0].model.count,v=t[0].categories.map(function(q){return q.height}).reduce(function(q,V){return q+V}),x=0;x<u.length;x++){var b=u[x],g;d>0?g=v*(b.count/d):g=0;for(var E=new Array(n.length),k=0;k<b.categoryInds.length;k++){var A=b.categoryInds[k],L=i[k][A],_=a[k];E[_]=n[_][L],n[_][L]+=g;var C=e.dimensions[_].categories[L],M=C.bands.length,p=C.bands[M-1];if(p===void 0||b.rawColor!==p.rawColor){var P=p===void 0?0:p.y+p.height;C.bands.push({key:P,color:b.color,rawColor:b.rawColor,height:g,width:C.width,count:b.count,y:P,categoryViewModel:C,parcatsViewModel:e})}else{var T=C.bands[M-1];T.height+=g,T.count+=b.count}}var F;e.pathShape===\"hspline\"?F=NNe(s,E,l,g,.5):F=NNe(s,E,l,g,0),h[x]={key:b.valueInds[0],model:b,height:g,leftXs:s,topYs:E,dimWidths:l,svgD:F,parcatsViewModel:e}}e.paths=h}function zK(e){var t=e.model.dimensions.map(function(o){return{displayInd:o.displayInd,dimensionInd:o.dimensionInd}});t.sort(function(o,s){return o.displayInd-s.displayInd});var r=[];for(var n in t){var i=t[n].dimensionInd,a=e.model.dimensions[i];r.push(kVt(e,a))}e.dimensions=r}function kVt(e,t){var r=40,n=16,i=e.model.dimensions.length,a=t.displayInd,o,s,l;i>1?o=(e.width-2*r-n)/(i-1):o=0,s=r,l=s+o*a;var u=[],c=e.model.maxCats,f=t.categories.length,h=8,d=t.count,v=e.height-h*(c-1),x,b,g,E,k,A=(c-f)*h/2,L=t.categories.map(function(_){return{displayInd:_.displayInd,categoryInd:_.categoryInd}});for(L.sort(function(_,C){return 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lUe=Mr(),uUe=va().defaultLine,DVt=Ju().attributes,zVt=Su(),FVt=Uc().textposition,qVt=Bu().overrideAll,OVt=Vs().templatedArray,qK=c1(),cUe=zVt({noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0});cUe.family.dflt=\"Open Sans Regular, Arial Unicode MS Regular\";var BVt=fUe.exports=qVt({_arrayAttrRegexps:[lUe.counterRegex(\"mapbox\",\".layers\",!0)],domain:DVt({name:\"mapbox\"}),accesstoken:{valType:\"string\",noBlank:!0,strict:!0},style:{valType:\"any\",values:qK.styleValuesMapbox.concat(qK.styleValuesNonMapbox),dflt:qK.styleValueDflt},center:{lon:{valType:\"number\",dflt:0},lat:{valType:\"number\",dflt:0}},zoom:{valType:\"number\",dflt:1},bearing:{valType:\"number\",dflt:0},pitch:{valType:\"number\",dflt:0},bounds:{west:{valType:\"number\"},east:{valType:\"number\"},south:{valType:\"number\"},north:{valType:\"number\"}},layers:OVt(\"layer\",{visible:{valType:\"boolean\",dflt:!0},sourcetype:{valType:\"enumerated\",values:[\"geojson\",\"vector\",\"raster\",\"image\"],dflt:\"geojson\"},source:{valType:\"any\"},sourcelayer:{valType:\"string\",dflt:\"\"},sourceattribution:{valType:\"string\"},type:{valType:\"enumerated\",values:[\"circle\",\"line\",\"fill\",\"symbol\",\"raster\"],dflt:\"circle\"},coordinates:{valType:\"any\"},below:{valType:\"string\"},color:{valType:\"color\",dflt:uUe},opacity:{valType:\"number\",min:0,max:1,dflt:1},minzoom:{valType:\"number\",min:0,max:24,dflt:0},maxzoom:{valType:\"number\",min:0,max:24,dflt:24},circle:{radius:{valType:\"number\",dflt:15}},line:{width:{valType:\"number\",dflt:2},dash:{valType:\"data_array\"}},fill:{outlinecolor:{valType:\"color\",dflt:uUe}},symbol:{icon:{valType:\"string\",dflt:\"marker\"},iconsize:{valType:\"number\",dflt:10},text:{valType:\"string\",dflt:\"\"},placement:{valType:\"enumerated\",values:[\"point\",\"line\",\"line-center\"],dflt:\"point\"},textfont:cUe,textposition:lUe.extendFlat({},FVt,{arrayOk:!1})}})},\"plot\",\"from-root\");BVt.uirevision={valType:\"any\",editType:\"none\"}});var BF=ye((pyr,vUe)=>{\"use strict\";var NVt=Wo().hovertemplateAttrs,UVt=Wo().texttemplateAttrs,VVt=Eg(),Ik=H2(),xA=Uc(),hUe=Pk(),HVt=vl(),GVt=Kl(),ew=no().extendFlat,jVt=Bu().overrideAll,WVt=Pk(),dUe=Ik.line,bA=Ik.marker;vUe.exports=jVt({lon:Ik.lon,lat:Ik.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:ew({},WVt.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:ew({},bA.opacity,{dflt:1})},mode:ew({},xA.mode,{dflt:\"markers\"}),text:ew({},xA.text,{}),texttemplate:UVt({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:ew({},xA.hovertext,{}),line:{color:dUe.color,width:dUe.width},connectgaps:xA.connectgaps,marker:ew({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:bA.opacity,size:bA.size,sizeref:bA.sizeref,sizemin:bA.sizemin,sizemode:bA.sizemode},GVt(\"marker\")),fill:Ik.fill,fillcolor:VVt(),textfont:hUe.layers.symbol.textfont,textposition:hUe.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:xA.selected.marker},unselected:{marker:xA.unselected.marker},hoverinfo:ew({},HVt.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:NVt()},\"calc\",\"nested\")});var OK=ye((gyr,pUe)=>{\"use strict\";var ZVt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];pUe.exports={isSupportedFont:function(e){return ZVt.indexOf(e)!==-1}}});var yUe=ye((myr,mUe)=>{\"use strict\";var Rk=Mr(),BK=lu(),XVt=$p(),YVt=R0(),KVt=D0(),JVt=Ig(),gUe=BF(),$Vt=OK().isSupportedFont;mUe.exports=function(t,r,n,i){function a(g,E){return Rk.coerce(t,r,gUe,g,E)}function o(g,E){return Rk.coerce2(t,r,gUe,g,E)}var s=QVt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),a(\"below\"),BK.hasMarkers(r)){XVt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Rk.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Rk.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}BK.hasLines(r)&&(YVt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,x=a(\"cluster.enabled\",v);if(x||BK.hasText(r)){var b=i.font.family;KVt(t,r,i,a,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:$Vt(b)?b:\"Open Sans Regular\",weight:i.font.weight,style:i.font.style,size:i.font.size,color:i.font.color}})}a(\"fill\"),r.fill!==\"none\"&&JVt(t,r,n,a),Rk.coerceSelectionMarkerOpacity(r,a)};function QVt(e,t,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return t._length=a,a}});var NK=ye((yyr,xUe)=>{\"use strict\";var _Ue=Qa();xUe.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot,o=a.mockAxis,s=t.lonlat;return i.lonLabel=_Ue.tickText(o,o.c2l(s[0]),!0).text,i.latLabel=_Ue.tickText(o,o.c2l(s[1]),!0).text,i}});var UK=ye((_yr,wUe)=>{\"use strict\";var bUe=Mr();wUe.exports=function(t,r){var n=t.split(\" 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g;if((a||o)&&(g=UF.calcTraceToLineCoords(r)),a&&(h.geojson=UF.makePolygon(g),h.layout.visibility=\"visible\",iv.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=UF.makeLine(g),d.layout.visibility=\"visible\",iv.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var E=lHt(r);v.geojson=E.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":HK(n.cluster.color,n.cluster.step),\"circle-radius\":HK(n.cluster.size,n.cluster.step),\"circle-opacity\":HK(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":AUe(n),\"text-size\":12}}),iv.extendFlat(v.paint,{\"circle-color\":E.mcc,\"circle-radius\":E.mrc,\"circle-opacity\":E.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(x.geojson=uHt(r,t),iv.extendFlat(x.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(iv.extendFlat(x.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in n.marker&&n.marker.angle!==\"auto\"&&iv.extendFlat(x.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),x.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,iv.extendFlat(x.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var k=(n.marker||{}).size,A=nHt(n.textposition,k);iv.extendFlat(x.layout,{\"text-size\":n.textfont.size,\"text-anchor\":A.anchor,\"text-offset\":A.offset,\"text-font\":AUe(n)}),iv.extendFlat(x.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function NF(e){return{type:e,geojson:UF.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function lHt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=iv.isArrayOrTypedArray(r.color),a=iv.isArrayOrTypedArray(r.size),o=iv.isArrayOrTypedArray(r.opacity),s;function l(k){return t.opacity*k}function u(k){return k/2}var c;i&&(TUe.hasColorscale(t,\"marker\")?c=TUe.makeColorScaleFuncFromTrace(r):c=iv.identity);var f;a&&(f=rHt(t));var h;o&&(h=function(k){var A=SUe(k)?+iv.constrain(k,0,1):0;return l(A)});var d=[];for(s=0;s<e.length;s++){var v=e[s],x=v.lonlat;if(!MUe(x)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:x},properties:b})}}var g;if(n)for(g=tHt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var E=d[s].properties;g.selectedOpacityFn&&(E.mo=l(g.selectedOpacityFn(E))),g.selectedColorFn&&(E.mcc=g.selectedColorFn(E)),g.selectedSizeFn&&(E.mrc=g.selectedSizeFn(E))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||g&&g.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||g&&g.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||g&&g.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function uHt(e,t){for(var r=t._fullLayout,n=e[0].trace,i=n.marker||{},a=i.symbol,o=i.angle,s=a!==\"circle\"?VK(a):HF,l=o!==\"auto\"?VK(o,!0):HF,u=VF.hasText(n)?VK(n.text):HF,c=[],f=0;f<e.length;f++){var h=e[f];if(!MUe(h.lonlat)){var d=n.texttemplate,v;if(d){var x=Array.isArray(d)?d[f]||\"\":d,b=n._module.formatLabels(h,n,r),g={};aHt(g,n,h.i);var E=n._meta||{};v=iv.texttemplateString(x,b,r._d3locale,g,h,E)}else v=u(f);v&&(v=v.replace(oHt,\"\").replace(sHt,`\n",
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LUe(e,t,r,n){this.type=\"scattermapbox\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:wA+t+\"-fill\",line:wA+t+\"-line\",circle:wA+t+\"-circle\",symbol:wA+t+\"-symbol\",cluster:wA+t+\"-cluster\",clusterCount:wA+t+\"-cluster-count\"},this.below=null}var Dk=LUe.prototype;Dk.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&cHt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};Dk.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};Dk.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};Dk.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=CUe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(k){k||u.addSource(\"circle\",a.circle,r.cluster);for(var A=rg.cluster,L=0;L<A.length;L++){var _=A[L],C=a[_];u.addLayer(_,C,o)}}function f(k){for(var A=rg.cluster,L=A.length-1;L>=0;L--){var _=A[L];i.removeLayer(u.layerIds[_])}k||i.removeSource(u.sourceIds.circle)}function h(k){for(var A=rg.nonCluster,L=0;L<A.length;L++){var _=A[L],C=a[_];k||u.addSource(_,C),u.addLayer(_,C,o)}}function d(k){for(var A=rg.nonCluster,L=A.length-1;L>=0;L--){var _=A[L];i.removeLayer(u.layerIds[_]),k||i.removeSource(u.sourceIds[_])}}function v(k){l?f(k):d(k)}function x(k){s?c(k):h(k)}function b(){for(var k=s?rg.cluster:rg.nonCluster,A=0;A<k.length;A++){var L=k[A],_=a[L];_&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",_.layout),_.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,_),n.setOptions(u.layerIds[L],\"setPaintProperty\",_.paint)))}}var g=this.isHidden,E=r.visible!==!0;E?g||v():g?E||x():l!==s?(v(),x()):(this.below!==o&&(v(!0),x(!0)),b()),this.clusterEnabled=s,this.isHidden=E,this.below=o,t[0].trace._glTrace=this};Dk.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?rg.cluster:rg.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};PUe.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new LUe(t,n.uid,i,a),s=CUe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<rg.cluster.length;u++)c=rg.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<rg.nonCluster.length;u++)c=rg.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var GF=ye((wyr,DUe)=>{\"use strict\";var fHt=Nc(),GK=Mr(),hHt=oT(),dHt=GK.fillText,vHt=es().BADNUM,pHt=c1().traceLayerPrefix;function gHt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=pHt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(M){return M.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function x(M){var p=M.lonlat;if(p[0]===vHt||c&&l.indexOf(M.i+1)===-1)return 1/0;var P=GK.modHalf(p[0],360),T=p[1],F=s.project([P,T]),q=F.x-a.c2p([v,T]),V=F.y-o.c2p([P,r]),H=Math.max(3,M.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-H,1-3/H)}if(fHt.getClosest(n,x,e),e.index!==!1){var b=n[e.index],g=b.lonlat,E=[GK.modHalf(g[0],360)+d,g[1]],k=a.c2p(E),A=o.c2p(E),L=b.mrc||1;e.x0=k-L,e.x1=k+L,e.y0=A-L,e.y1=A+L;var _={};_[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,_);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=hHt(i,b),e.extraText=RUe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function RUe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&dHt(t,e,u),u.join(\"<br>\")}DUe.exports={hoverPoints:gHt,getExtraText:RUe}});var FUe=ye((Tyr,zUe)=>{\"use strict\";zUe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var OUe=ye((Ayr,qUe)=>{\"use strict\";var mHt=Mr(),yHt=lu(),_Ht=es().BADNUM;qUe.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l;if(!yHt.hasMarkers(s))return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++){var u=n[l],c=u.lonlat;if(c[0]!==_Ht){var f=[mHt.modHalf(c[0],360),c[1]],h=[i.c2p(f),a.c2p(f)];r.contains(h,null,l,t)?(o.push({pointNumber:l,lon:c[0],lat:c[1]}),u.selected=1):u.selected=0}}return o}});var ZK=ye((jK,WK)=>{(function(e,t){typeof jK==\"object\"&&typeof WK!=\"undefined\"?WK.exports=t():typeof define==\"function\"&&define.amd?define(t):(e=e||self,e.mapboxgl=t())})(jK,function(){\"use strict\";var e,t,r;function n(i,a){if(!e)e=a;else if(!t)t=a;else{var o=\"var sharedChunk = {}; (\"+e+\")(sharedChunk); (\"+t+\")(sharedChunk);\",s={};e(s),r=a(s),typeof window!=\"undefined\"&&(r.workerUrl=window.URL.createObjectURL(new Blob([o],{type:\"text/javascript\"})))}}return n([\"exports\"],function(i){\"use strict\";function a(m,y){return 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I=this.index.evaluate(y),U=this.input.evaluate(y);if(I<0)throw new Ms(\"Array index out of bounds: \"+I+\" < 0.\");if(I>=U.length)throw new Ms(\"Array index out of bounds: \"+I+\" > \"+(U.length-1)+\".\");if(I!==Math.floor(I))throw new Ms(\"Array index must be an integer, but found \"+I+\" instead.\");return U[I]},gc.prototype.eachChild=function(y){y(this.index),y(this.input)},gc.prototype.outputDefined=function(){return!1},gc.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var hl=function(y,I){this.type=Co,this.needle=y,this.haystack=I};hl.parse=function(y,I){if(y.length!==3)return I.error(\"Expected 2 arguments, but found \"+(y.length-1)+\" instead.\");var U=I.parse(y[1],1,So),J=I.parse(y[2],2,So);return!U||!J?null:Of(U.type,[Co,ko,Zn,Ec,So])?new hl(U,J):I.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Ls(U.type)+\" instead\")},hl.prototype.evaluate=function(y){var I=this.needle.evaluate(y),U=this.haystack.evaluate(y);if(!U)return!1;if(!Gc(I,[\"boolean\",\"string\",\"number\",\"null\"]))throw new Ms(\"Expected first argument to be of type boolean, string, number or null, but found \"+Ls(ws(I))+\" instead.\");if(!Gc(U,[\"string\",\"array\"]))throw new Ms(\"Expected second argument to be of type array or string, but found \"+Ls(ws(U))+\" instead.\");return U.indexOf(I)>=0},hl.prototype.eachChild=function(y){y(this.needle),y(this.haystack)},hl.prototype.outputDefined=function(){return!0},hl.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var ru=function(y,I,U){this.type=Zn,this.needle=y,this.haystack=I,this.fromIndex=U};ru.parse=function(y,I){if(y.length<=2||y.length>=5)return I.error(\"Expected 3 or 4 arguments, but found \"+(y.length-1)+\" instead.\");var U=I.parse(y[1],1,So),J=I.parse(y[2],2,So);if(!U||!J)return null;if(!Of(U.type,[Co,ko,Zn,Ec,So]))return I.error(\"Expected first argument to be of 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Ru(m.default,y.default);var U=m.stops.length;if(U===1||I<=m.stops[0][0])return m.stops[0][1];if(I>=m.stops[U-1][0])return m.stops[U-1][1];var J=ic(m.stops.map(function(ne){return ne[0]}),I);return m.stops[J][1]}function bu(m,y,I){var U=m.base!==void 0?m.base:1;if(Ka(I)!==\"number\")return Ru(m.default,y.default);var J=m.stops.length;if(J===1||I<=m.stops[0][0])return m.stops[0][1];if(I>=m.stops[J-1][0])return m.stops[J-1][1];var ne=ic(m.stops.map(function(Xt){return Xt[0]}),I),fe=Du(I,U,m.stops[ne][0],m.stops[ne+1][0]),Fe=m.stops[ne][1],Qe=m.stops[ne+1][1],st=Gu[y.type]||Ko;if(m.colorSpace&&m.colorSpace!==\"rgb\"){var mt=Ph[m.colorSpace];st=function(Xt,ur){return mt.reverse(mt.interpolate(mt.forward(Xt),mt.forward(ur),fe))}}return typeof Fe.evaluate==\"function\"?{evaluate:function(){for(var ur=[],nr=arguments.length;nr--;)ur[nr]=arguments[nr];var Lr=Fe.evaluate.apply(void 0,ur),Yr=Qe.evaluate.apply(void 0,ur);if(!(Lr===void 0||Yr===void 0))return st(Lr,Yr,fe)}}:st(Fe,Qe,fe)}function Kc(m,y,I){return y.type===\"color\"?I=ss.parse(I):y.type===\"formatted\"?I=Ul.fromString(I.toString()):y.type===\"resolvedImage\"?I=Js.fromString(I.toString()):Ka(I)!==y.type&&(y.type!==\"enum\"||!y.values[I])&&(I=void 0),Ru(I,m.default,y.default)}function Du(m,y,I,U){var J=U-I,ne=m-I;return J===0?0:y===1?ne/J:(Math.pow(y,ne)-1)/(Math.pow(y,J)-1)}var Dc=function(y,I){this.expression=y,this._warningHistory={},this._evaluator=new $o,this._defaultValue=I?ee(I):null,this._enumValues=I&&I.type===\"enum\"?I.values:null};Dc.prototype.evaluateWithoutErrorHandling=function(y,I,U,J,ne,fe){return this._evaluator.globals=y,this._evaluator.feature=I,this._evaluator.featureState=U,this._evaluator.canonical=J,this._evaluator.availableImages=ne||null,this._evaluator.formattedSection=fe,this.expression.evaluate(this._evaluator)},Dc.prototype.evaluate=function(y,I,U,J,ne,fe){this._evaluator.globals=y,this._evaluator.feature=I||null,this._evaluator.featureState=U||null,this._evaluator.canonical=J,this._evaluator.availableImages=ne||null,this._evaluator.formattedSection=fe||null;try{var Fe=this.expression.evaluate(this._evaluator);if(Fe==null||typeof Fe==\"number\"&&Fe!==Fe)return this._defaultValue;if(this._enumValues&&!(Fe in this._enumValues))throw new Ms(\"Expected value to be one of \"+Object.keys(this._enumValues).map(function(Qe){return JSON.stringify(Qe)}).join(\", \")+\", but found \"+JSON.stringify(Fe)+\" instead.\");return Fe}catch(Qe){return this._warningHistory[Qe.message]||(this._warningHistory[Qe.message]=!0,typeof 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this._styleExpression.evaluateWithoutErrorHandling(y,I,U,J,ne,fe)},yc.prototype.evaluate=function(y,I,U,J,ne,fe){return this._styleExpression.evaluate(y,I,U,J,ne,fe)},yc.prototype.interpolationFactor=function(y,I,U){return this.interpolationType?Rl.interpolationFactor(this.interpolationType,y,I,U):0};function _c(m,y){if(m=eo(m,y),m.result===\"error\")return m;var I=m.value.expression,U=$h(I);if(!U&&!Gs(y))return yl([new Ks(\"\",\"data expressions not supported\")]);var J=Pu(I,[\"zoom\"]);if(!J&&!Rs(y))return yl([new Ks(\"\",\"zoom expressions not supported\")]);var ne=B(I);if(!ne&&!J)return yl([new Ks(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(ne instanceof Ks)return yl([ne]);if(ne instanceof Rl&&!ia(y))return yl([new Ks(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!ne)return Bo(U?new Jc(\"constant\",m.value):new Jc(\"source\",m.value));var fe=ne instanceof Rl?ne.interpolation:void 0;return Bo(U?new yc(\"camera\",m.value,ne.labels,fe):new yc(\"composite\",m.value,ne.labels,fe))}var le=function(y,I){this._parameters=y,this._specification=I,Il(this,iu(this._parameters,this._specification))};le.deserialize=function(y){return new le(y._parameters,y._specification)},le.serialize=function(y){return{_parameters:y._parameters,_specification:y._specification}};function w(m,y){if(vs(m))return new le(m,y);if(Da(m)){var I=_c(m,y);if(I.result===\"error\")throw new Error(I.value.map(function(J){return J.key+\": \"+J.message}).join(\", \"));return I.value}else{var U=m;return typeof m==\"string\"&&y.type===\"color\"&&(U=ss.parse(m)),{kind:\"constant\",evaluate:function(){return U}}}}function B(m){var y=null;if(m instanceof Rc)y=B(m.result);else if(m instanceof Wu)for(var I=0,U=m.args;I<U.length;I+=1){var J=U[I];if(y=B(J),y)break}else(m instanceof yu||m instanceof Rl)&&m.input instanceof Ja&&m.input.name===\"zoom\"&&(y=m);return y instanceof Ks||m.eachChild(function(ne){var fe=B(ne);fe instanceof Ks?y=fe:!y&&fe?y=new Ks(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):y&&fe&&y!==fe&&(y=new Ks(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),y}function Q(m){var y={color:Tl,string:ko,number:Zn,enum:ko,boolean:Co,formatted:Al,resolvedImage:Hc};return m.type===\"array\"?Ql(y[m.value]||So,m.length):y[m.type]}function ee(m){return m.type===\"color\"&&vs(m.default)?new ss(0,0,0,0):m.type===\"color\"?ss.parse(m.default)||null:m.default===void 0?null:m.default}function se(m){var y=m.key,I=m.value,U=m.valueSpec||{},J=m.objectElementValidators||{},ne=m.style,fe=m.styleSpec,Fe=[],Qe=Ka(I);if(Qe!==\"object\")return[new fa(y,I,\"object expected, \"+Qe+\" found\")];for(var st in I){var mt=st.split(\".\")[0],Xt=U[mt]||U[\"*\"],ur=void 0;if(J[mt])ur=J[mt];else if(U[mt])ur=Wa;else if(J[\"*\"])ur=J[\"*\"];else if(U[\"*\"])ur=Wa;else{Fe.push(new fa(y,I[st],'unknown property \"'+st+'\"'));continue}Fe=Fe.concat(ur({key:(y&&y+\".\")+st,value:I[st],valueSpec:Xt,style:ne,styleSpec:fe,object:I,objectKey:st},I))}for(var nr in U)J[nr]||U[nr].required&&U[nr].default===void 0&&I[nr]===void 0&&Fe.push(new fa(y,I,'missing required property \"'+nr+'\"'));return Fe}function qe(m){var y=m.value,I=m.valueSpec,U=m.style,J=m.styleSpec,ne=m.key,fe=m.arrayElementValidator||Wa;if(Ka(y)!==\"array\")return[new fa(ne,y,\"array expected, \"+Ka(y)+\" found\")];if(I.length&&y.length!==I.length)return[new fa(ne,y,\"array length \"+I.length+\" expected, length \"+y.length+\" found\")];if(I[\"min-length\"]&&y.length<I[\"min-length\"])return[new fa(ne,y,\"array length at least \"+I[\"min-length\"]+\" expected, length \"+y.length+\" found\")];var Fe={type:I.value,values:I.values};J.$version<7&&(Fe.function=I.function),Ka(I.value)===\"object\"&&(Fe=I.value);for(var Qe=[],st=0;st<y.length;st++)Qe=Qe.concat(fe({array:y,arrayIndex:st,value:y[st],valueSpec:Fe,style:U,styleSpec:J,key:ne+\"[\"+st+\"]\"}));return Qe}function je(m){var y=m.key,I=m.value,U=m.valueSpec,J=Ka(I);return J===\"number\"&&I!==I&&(J=\"NaN\"),J!==\"number\"?[new fa(y,I,\"number expected, \"+J+\" found\")]:\"minimum\"in U&&I<U.minimum?[new fa(y,I,I+\" is less than the minimum value \"+U.minimum)]:\"maximum\"in U&&I>U.maximum?[new fa(y,I,I+\" is greater than the maximum value \"+U.maximum)]:[]}function it(m){var y=m.valueSpec,I=vo(m.value.type),U,J={},ne,fe,Fe=I!==\"categorical\"&&m.value.property===void 0,Qe=!Fe,st=Ka(m.value.stops)===\"array\"&&Ka(m.value.stops[0])===\"array\"&&Ka(m.value.stops[0][0])===\"object\",mt=se({key:m.key,value:m.value,valueSpec:m.styleSpec.function,style:m.style,styleSpec:m.styleSpec,objectElementValidators:{stops:Xt,default:Lr}});return I===\"identity\"&&Fe&&mt.push(new fa(m.key,m.value,'missing required property 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_i=[],si=Yr.value,Hi=Yr.key;if(Ka(si)!==\"array\")return[new fa(Hi,si,\"array expected, \"+Ka(si)+\" found\")];if(si.length!==2)return[new fa(Hi,si,\"array length 2 expected, length \"+si.length+\" found\")];if(st){if(Ka(si[0])!==\"object\")return[new fa(Hi,si,\"object expected, \"+Ka(si[0])+\" found\")];if(si[0].zoom===void 0)return[new fa(Hi,si,\"object stop key must have zoom\")];if(si[0].value===void 0)return[new fa(Hi,si,\"object stop key must have value\")];if(fe&&fe>vo(si[0].zoom))return[new fa(Hi,si[0].zoom,\"stop zoom values must appear in ascending order\")];vo(si[0].zoom)!==fe&&(fe=vo(si[0].zoom),ne=void 0,J={}),_i=_i.concat(se({key:Hi+\"[0]\",value:si[0],valueSpec:{zoom:{}},style:Yr.style,styleSpec:Yr.styleSpec,objectElementValidators:{zoom:je,value:nr}}))}else _i=_i.concat(nr({key:Hi+\"[0]\",value:si[0],valueSpec:{},style:Yr.style,styleSpec:Yr.styleSpec},si));return Da(Wl(si[1]))?_i.concat([new fa(Hi+\"[1]\",si[1],\"expressions are not allowed in function stops.\")]):_i.concat(Wa({key:Hi+\"[1]\",value:si[1],valueSpec:y,style:Yr.style,styleSpec:Yr.styleSpec}))}function nr(Yr,_i){var si=Ka(Yr.value),Hi=vo(Yr.value),Ei=Yr.value!==null?Yr.value:_i;if(!U)U=si;else if(si!==U)return[new fa(Yr.key,Ei,si+\" stop domain type must match previous stop domain type \"+U)];if(si!==\"number\"&&si!==\"string\"&&si!==\"boolean\")return[new fa(Yr.key,Ei,\"stop domain value must be a number, string, or boolean\")];if(si!==\"number\"&&I!==\"categorical\"){var Vi=\"number expected, \"+si+\" found\";return Gs(y)&&I===void 0&&(Vi+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new fa(Yr.key,Ei,Vi)]}return I===\"categorical\"&&si===\"number\"&&(!isFinite(Hi)||Math.floor(Hi)!==Hi)?[new fa(Yr.key,Ei,\"integer expected, found \"+Hi)]:I!==\"categorical\"&&si===\"number\"&&ne!==void 0&&Hi<ne?[new fa(Yr.key,Ei,\"stop domain values must appear in ascending order\")]:(ne=Hi,I===\"categorical\"&&Hi in J?[new fa(Yr.key,Ei,\"stop domain values must be unique\")]:(J[Hi]=!0,[]))}function Lr(Yr){return Wa({key:Yr.key,value:Yr.value,valueSpec:y,style:Yr.style,styleSpec:Yr.styleSpec})}}function yt(m){var y=(m.expressionContext===\"property\"?_c:eo)(Wl(m.value),m.valueSpec);if(y.result===\"error\")return y.value.map(function(U){return new fa(\"\"+m.key+U.key,m.value,U.message)});var I=y.value.expression||y.value._styleExpression.expression;if(m.expressionContext===\"property\"&&m.propertyKey===\"text-font\"&&!I.outputDefined())return[new fa(m.key,m.value,'Invalid data expression for \"'+m.propertyKey+'\". Output values must be contained as literals within the expression.')];if(m.expressionContext===\"property\"&&m.propertyType===\"layout\"&&!eu(I))return[new fa(m.key,m.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(m.expressionContext===\"filter\"&&!eu(I))return[new fa(m.key,m.value,'\"feature-state\" data expressions are not supported with filters.')];if(m.expressionContext&&m.expressionContext.indexOf(\"cluster\")===0){if(!Pu(I,[\"zoom\",\"feature-state\"]))return[new fa(m.key,m.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(m.expressionContext===\"cluster-initial\"&&!$h(I))return[new fa(m.key,m.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function Ot(m){var y=m.value,I=m.key,U=Ka(y);return U!==\"boolean\"?[new fa(I,y,\"boolean expected, \"+U+\" found\")]:[]}function Nt(m){var y=m.key,I=m.value,U=Ka(I);return U!==\"string\"?[new fa(y,I,\"color expected, \"+U+\" found\")]:Bf(I)===null?[new fa(y,I,'color expected, \"'+I+'\" found')]:[]}function hr(m){var y=m.key,I=m.value,U=m.valueSpec,J=[];return Array.isArray(U.values)?U.values.indexOf(vo(I))===-1&&J.push(new fa(y,I,\"expected one of [\"+U.values.join(\", \")+\"], \"+JSON.stringify(I)+\" found\")):Object.keys(U.values).indexOf(vo(I))===-1&&J.push(new fa(y,I,\"expected one of [\"+Object.keys(U.values).join(\", \")+\"], \"+JSON.stringify(I)+\" found\")),J}function Sr(m){if(m===!0||m===!1)return!0;if(!Array.isArray(m)||m.length===0)return!1;switch(m[0]){case\"has\":return m.length>=2&&m[1]!==\"$id\"&&m[1]!==\"$type\";case\"in\":return m.length>=3&&(typeof m[1]!=\"string\"||Array.isArray(m[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return m.length!==3||Array.isArray(m[1])||Array.isArray(m[2]);case\"any\":case\"all\":for(var y=0,I=m.slice(1);y<I.length;y+=1){var U=I[y];if(!Sr(U)&&typeof U!=\"boolean\")return!1}return!0;default:return!0}}var he={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function be(m){if(m==null)return{filter:function(){return!0},needGeometry:!1};Sr(m)||(m=Je(m));var y=eo(m,he);if(y.result===\"error\")throw new Error(y.value.map(function(U){return U.key+\": \"+U.message}).join(\", \"));var I=Oe(m);return{filter:function(U,J,ne){return y.value.evaluate(U,J,{},ne)},needGeometry:I}}function Pe(m,y){return m<y?-1:m>y?1:0}function Oe(m){if(!Array.isArray(m))return!1;if(m[0]===\"within\")return!0;for(var y=1;y<m.length;y++)if(Oe(m[y]))return!0;return!1}function Je(m){if(!m)return!0;var y=m[0];if(m.length<=1)return y!==\"any\";var I=y===\"==\"?He(m[1],m[2],\"==\"):y===\"!=\"?Ut(He(m[1],m[2],\"==\")):y===\"<\"||y===\">\"||y===\"<=\"||y===\">=\"?He(m[1],m[2],y):y===\"any\"?et(m.slice(1)):y===\"all\"?[\"all\"].concat(m.slice(1).map(Je)):y===\"none\"?[\"all\"].concat(m.slice(1).map(Je).map(Ut)):y===\"in\"?Mt(m[1],m.slice(2)):y===\"!in\"?Ut(Mt(m[1],m.slice(2))):y===\"has\"?Dt(m[1]):y===\"!has\"?Ut(Dt(m[1])):y===\"within\"?m:!0;return I}function He(m,y,I){switch(m){case\"$type\":return[\"filter-type-\"+I,y];case\"$id\":return[\"filter-id-\"+I,y];default:return[\"filter-\"+I,m,y]}}function et(m){return[\"any\"].concat(m.map(Je))}function Mt(m,y){if(y.length===0)return!1;switch(m){case\"$type\":return[\"filter-type-in\",[\"literal\",y]];case\"$id\":return[\"filter-id-in\",[\"literal\",y]];default:return y.length>200&&!y.some(function(I){return typeof I!=typeof y[0]})?[\"filter-in-large\",m,[\"literal\",y.sort(Pe)]]:[\"filter-in-small\",m,[\"literal\",y]]}}function 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this.int16[en+0]=J,this.int16[en+1]=ne,this.uint16[en+2]=fe,this.uint16[en+3]=Fe,this.uint32[An+2]=Qe,this.uint32[An+3]=st,this.uint32[An+4]=mt,this.uint16[en+10]=Xt,this.uint16[en+11]=ur,this.uint16[en+12]=nr,this.float32[An+7]=Lr,this.float32[An+8]=Yr,this.uint8[ra+36]=_i,this.uint8[ra+37]=si,this.uint8[ra+38]=Hi,this.uint32[An+10]=Ei,this.int16[en+22]=Vi,U},y}(Rn);ro.prototype.bytesPerElement=48,Z(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ro);var Ao=function(m){function y(){m.apply(this,arguments)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},y.prototype.emplaceBack=function(U,J,ne,fe,Fe,Qe,st,mt,Xt,ur,nr,Lr,Yr,_i,si,Hi,Ei,Vi,en,An,ra,$n,Ba,_a,Pa,qo,Na,ja){var 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this._structArray.uint8[this._pos1+38]},I.hidden.set=function(U){this._structArray.uint8[this._pos1+38]=U},I.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},I.crossTileID.set=function(U){this._structArray.uint32[this._pos4+10]=U},I.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(y.prototype,I),y}(Bn);Qc.prototype.size=48;var El=function(m){function y(){m.apply(this,arguments)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.get=function(U){return new Qc(this,U)},y}(ro);Z(\"PlacedSymbolArray\",El);var bc=function(m){function y(){m.apply(this,arguments)}m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y;var 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I.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},I.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},I.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},I.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},I.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},I.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},I.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},I.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},I.key.get=function(){return this._structArray.uint16[this._pos2+8]},I.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},I.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},I.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},I.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},I.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},I.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},I.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},I.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},I.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},I.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},I.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},I.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},I.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},I.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},I.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},I.crossTileID.set=function(U){this._structArray.uint32[this._pos4+12]=U},I.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},I.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},I.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},I.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(y.prototype,I),y}(Bn);bc.prototype.size=68;var wc=function(m){function y(){m.apply(this,arguments)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.get=function(U){return new bc(this,U)},y}(Ao);Z(\"SymbolInstanceArray\",wc);var yf=function(m){function y(){m.apply(this,arguments)}return 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0&&(ne.sortKey=J),this.segments.push(ne)),ne},ns.prototype.get=function(){return this.segments},ns.prototype.destroy=function(){for(var y=0,I=this.segments;y<I.length;y+=1){var U=I[y];for(var J in U.vaos)U.vaos[J].destroy()}},ns.simpleSegment=function(y,I,U,J){return new ns([{vertexOffset:y,primitiveOffset:I,vertexLength:U,primitiveLength:J,vaos:{},sortKey:0}])},ns.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Z(\"SegmentVector\",ns);function Y(m,y){return m=g(Math.floor(m),0,255),y=g(Math.floor(y),0,255),256*m+y}var z=Dn([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]),K=a(function(m){function y(I,U){var 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ne};yi.prototype.populatePaintArray=function(y,I,U){var J=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(y),this.zoomOutPaintVertexArray.resize(y),this._setPaintValues(J,y,I.patterns&&I.patterns[this.layerId],U)},yi.prototype.updatePaintArray=function(y,I,U,J,ne){this._setPaintValues(y,I,U.patterns&&U.patterns[this.layerId],ne)},yi.prototype._setPaintValues=function(y,I,U,J){if(!(!J||!U)){var ne=U.min,fe=U.mid,Fe=U.max,Qe=J[ne],st=J[fe],mt=J[Fe];if(!(!Qe||!st||!mt))for(var Xt=y;Xt<I;Xt++)this.zoomInPaintVertexArray.emplace(Xt,st.tl[0],st.tl[1],st.br[0],st.br[1],Qe.tl[0],Qe.tl[1],Qe.br[0],Qe.br[1],st.pixelRatio,Qe.pixelRatio),this.zoomOutPaintVertexArray.emplace(Xt,st.tl[0],st.tl[1],st.br[0],st.br[1],mt.tl[0],mt.tl[1],mt.br[0],mt.br[1],st.pixelRatio,mt.pixelRatio)}},yi.prototype.upload=function(y){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=y.createVertexBuffer(this.zoomInPaintVertexArray,z.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=y.createVertexBuffer(this.zoomOutPaintVertexArray,z.members,this.expression.isStateDependent))},yi.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var tn=function(y,I,U){this.binders={},this._buffers=[];var J=[];for(var ne in y.paint._values)if(U(ne)){var fe=y.paint.get(ne);if(!(!(fe instanceof dl)||!Gs(fe.property.specification))){var Fe=ln(ne,y.type),Qe=fe.value,st=fe.property.specification.type,mt=fe.property.useIntegerZoom,Xt=fe.property.specification[\"property-type\"],ur=Xt===\"cross-faded\"||Xt===\"cross-faded-data-driven\";if(Qe.kind===\"constant\")this.binders[ne]=ur?new cr(Qe.value,Fe):new Cr(Qe.value,Fe,st),J.push(\"/u_\"+ne);else if(Qe.kind===\"source\"||ur){var nr=qn(ne,st,\"source\");this.binders[ne]=ur?new yi(Qe,st,mt,I,nr,y.id):new Gr(Qe,Fe,st,nr),J.push(\"/a_\"+ne)}else{var Lr=qn(ne,st,\"composite\");this.binders[ne]=new ei(Qe,Fe,st,mt,I,Lr),J.push(\"/z_\"+ne)}}}this.cacheKey=J.sort().join(\"\")};tn.prototype.getMaxValue=function(y){var I=this.binders[y];return I instanceof Gr||I instanceof ei?I.maxValue:0},tn.prototype.populatePaintArrays=function(y,I,U,J,ne){for(var fe in this.binders){var Fe=this.binders[fe];(Fe instanceof Gr||Fe instanceof ei||Fe instanceof yi)&&Fe.populatePaintArray(y,I,U,J,ne)}},tn.prototype.setConstantPatternPositions=function(y,I){for(var U in this.binders){var J=this.binders[U];J instanceof cr&&J.setConstantPatternPositions(y,I)}},tn.prototype.updatePaintArrays=function(y,I,U,J,ne){var fe=!1;for(var Fe in y)for(var Qe=I.getPositions(Fe),st=0,mt=Qe;st<mt.length;st+=1){var Xt=mt[st],ur=U.feature(Xt.index);for(var nr in this.binders){var Lr=this.binders[nr];if((Lr instanceof Gr||Lr instanceof ei||Lr instanceof yi)&&Lr.expression.isStateDependent===!0){var Yr=J.paint.get(nr);Lr.expression=Yr.value,Lr.updatePaintArray(Xt.start,Xt.end,ur,y[Fe],ne),fe=!0}}}return fe},tn.prototype.defines=function(){var y=[];for(var I in this.binders){var U=this.binders[I];(U instanceof Cr||U instanceof cr)&&y.push.apply(y,U.uniformNames.map(function(J){return\"#define HAS_UNIFORM_\"+J}))}return y},tn.prototype.getBinderAttributes=function(){var y=[];for(var I in this.binders){var U=this.binders[I];if(U instanceof Gr||U instanceof ei)for(var J=0;J<U.paintVertexAttributes.length;J++)y.push(U.paintVertexAttributes[J].name);else if(U instanceof yi)for(var ne=0;ne<z.members.length;ne++)y.push(z.members[ne].name)}return y},tn.prototype.getBinderUniforms=function(){var y=[];for(var I in this.binders){var U=this.binders[I];if(U instanceof Cr||U instanceof cr||U instanceof ei)for(var J=0,ne=U.uniformNames;J<ne.length;J+=1){var fe=ne[J];y.push(fe)}}return y},tn.prototype.getPaintVertexBuffers=function(){return this._buffers},tn.prototype.getUniforms=function(y,I){var U=[];for(var J in this.binders){var ne=this.binders[J];if(ne instanceof Cr||ne instanceof cr||ne instanceof ei)for(var fe=0,Fe=ne.uniformNames;fe<Fe.length;fe+=1){var Qe=Fe[fe];if(I[Qe]){var st=ne.getBinding(y,I[Qe],Qe);U.push({name:Qe,property:J,binding:st})}}}return U},tn.prototype.setUniforms=function(y,I,U,J){for(var ne=0,fe=I;ne<fe.length;ne+=1){var Fe=fe[ne],Qe=Fe.name,st=Fe.property,mt=Fe.binding;this.binders[st].setUniform(mt,J,U.get(st),Qe)}},tn.prototype.updatePaintBuffers=function(y){this._buffers=[];for(var I in this.binders){var U=this.binders[I];if(y&&U instanceof yi){var J=y.fromScale===2?U.zoomInPaintVertexBuffer:U.zoomOutPaintVertexBuffer;J&&this._buffers.push(J)}else(U instanceof Gr||U instanceof ei)&&U.paintVertexBuffer&&this._buffers.push(U.paintVertexBuffer)}},tn.prototype.upload=function(y){for(var I in this.binders){var U=this.binders[I];(U instanceof Gr||U instanceof ei||U instanceof yi)&&U.upload(y)}this.updatePaintBuffers()},tn.prototype.destroy=function(){for(var y in this.binders){var I=this.binders[y];(I instanceof Gr||I instanceof ei||I instanceof yi)&&I.destroy()}};var Ri=function(y,I,U){U===void 0&&(U=function(){return!0}),this.programConfigurations={};for(var J=0,ne=y;J<ne.length;J+=1){var fe=ne[J];this.programConfigurations[fe.id]=new tn(fe,I,U)}this.needsUpload=!1,this._featureMap=new Ie,this._bufferOffset=0};Ri.prototype.populatePaintArrays=function(y,I,U,J,ne,fe){for(var Fe in this.programConfigurations)this.programConfigurations[Fe].populatePaintArrays(y,I,J,ne,fe);I.id!==void 0&&this._featureMap.add(I.id,U,this._bufferOffset,y),this._bufferOffset=y,this.needsUpload=!0},Ri.prototype.updatePaintArrays=function(y,I,U,J){for(var ne=0,fe=U;ne<fe.length;ne+=1){var Fe=fe[ne];this.needsUpload=this.programConfigurations[Fe.id].updatePaintArrays(y,this._featureMap,I,Fe,J)||this.needsUpload}},Ri.prototype.get=function(y){return this.programConfigurations[y]},Ri.prototype.upload=function(y){if(this.needsUpload){for(var I in this.programConfigurations)this.programConfigurations[I].upload(y);this.needsUpload=!1}},Ri.prototype.destroy=function(){for(var y in this.programConfigurations)this.programConfigurations[y].destroy()};function ln(m,y){var I={\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]};return I[m]||[m.replace(y+\"-\",\"\").replace(/-/g,\"_\")]}function Qn(m){var y={\"line-pattern\":{source:Kn,composite:Kn},\"fill-pattern\":{source:Kn,composite:Kn},\"fill-extrusion-pattern\":{source:Kn,composite:Kn}};return y[m]}function qn(m,y,I){var U={color:{source:ca,composite:Xl},number:{source:Jn,composite:ca}},J=Qn(m);return 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I.id}),this.index=y.index,this.hasPattern=!1,this.layoutVertexArray=new ji,this.indexArray=new ma,this.segments=new ns,this.programConfigurations=new Ri(y.layers,y.zoom),this.stateDependentLayerIds=this.layers.filter(function(I){return I.isStateDependent()}).map(function(I){return I.id})};ps.prototype.populate=function(y,I,U){var J=this.layers[0],ne=[],fe=null;J.type===\"circle\"&&(fe=J.layout.get(\"circle-sort-key\"));for(var Fe=0,Qe=y;Fe<Qe.length;Fe+=1){var st=Qe[Fe],mt=st.feature,Xt=st.id,ur=st.index,nr=st.sourceLayerIndex,Lr=this.layers[0]._featureFilter.needGeometry,Yr=No(mt,Lr);if(this.layers[0]._featureFilter.filter(new pn(this.zoom),Yr,U)){var _i=fe?fe.evaluate(Yr,{},U):void 0,si={id:Xt,properties:mt.properties,type:mt.type,sourceLayerIndex:nr,index:ur,geometry:Lr?Yr.geometry:da(mt),patterns:{},sortKey:_i};ne.push(si)}}fe&&ne.sort(function(_a,Pa){return _a.sortKey-Pa.sortKey});for(var Hi=0,Ei=ne;Hi<Ei.length;Hi+=1){var Vi=Ei[Hi],en=Vi,An=en.geometry,ra=en.index,$n=en.sourceLayerIndex,Ba=y[ra].feature;this.addFeature(Vi,An,ra,U),I.featureIndex.insert(Ba,An,ra,$n,this.index)}},ps.prototype.update=function(y,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(y,I,this.stateDependentLayers,U)},ps.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},ps.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ps.prototype.upload=function(y){this.uploaded||(this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,_f),this.indexBuffer=y.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(y),this.uploaded=!0},ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ps.prototype.addFeature=function(y,I,U,J){for(var ne=0,fe=I;ne<fe.length;ne+=1)for(var Fe=fe[ne],Qe=0,st=Fe;Qe<st.length;Qe+=1){var mt=st[Qe],Xt=mt.x,ur=mt.y;if(!(Xt<0||Xt>=rn||ur<0||ur>=rn)){var nr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,y.sortKey),Lr=nr.vertexLength;Do(this.layoutVertexArray,Xt,ur,-1,-1),Do(this.layoutVertexArray,Xt,ur,1,-1),Do(this.layoutVertexArray,Xt,ur,1,1),Do(this.layoutVertexArray,Xt,ur,-1,1),this.indexArray.emplaceBack(Lr,Lr+1,Lr+2),this.indexArray.emplaceBack(Lr,Lr+3,Lr+2),nr.vertexLength+=4,nr.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,y,U,{},J)},Z(\"CircleBucket\",ps,{omit:[\"layers\"]});function fo(m,y){for(var I=0;I<m.length;I++)if(_d(y,m[I]))return!0;for(var U=0;U<y.length;U++)if(_d(m,y[U]))return!0;return!!Ev(m,y)}function as(m,y,I){return!!(_d(m,y)||Yv(y,m,I))}function tl(m,y){if(m.length===1)return vp(y,m[0]);for(var I=0;I<y.length;I++)for(var U=y[I],J=0;J<U.length;J++)if(_d(m,U[J]))return!0;for(var ne=0;ne<m.length;ne++)if(vp(y,m[ne]))return!0;for(var fe=0;fe<y.length;fe++)if(Ev(m,y[fe]))return!0;return!1}function zu(m,y,I){for(var U=0;U<y.length;U++){var J=y[U];if(m.length>=3){for(var ne=0;ne<J.length;ne++)if(_d(m,J[ne]))return!0}if(Mv(m,J,I))return!0}return!1}function Mv(m,y,I){if(m.length>1){if(Ev(m,y))return!0;for(var U=0;U<y.length;U++)if(Yv(y[U],m,I))return!0}for(var J=0;J<m.length;J++)if(Yv(m[J],y,I))return!0;return!1}function Ev(m,y){if(m.length===0||y.length===0)return!1;for(var I=0;I<m.length-1;I++)for(var U=m[I],J=m[I+1],ne=0;ne<y.length-1;ne++){var fe=y[ne],Fe=y[ne+1];if(yd(U,J,fe,Fe))return!0}return!1}function yd(m,y,I,U){return ae(m,I,U)!==ae(y,I,U)&&ae(m,y,I)!==ae(m,y,U)}function Yv(m,y,I){var U=I*I;if(y.length===1)return m.distSqr(y[0])<U;for(var J=1;J<y.length;J++){var ne=y[J-1],fe=y[J];if(cg(m,ne,fe)<U)return!0}return!1}function cg(m,y,I){var U=y.distSqr(I);if(U===0)return m.distSqr(y);var J=((m.x-y.x)*(I.x-y.x)+(m.y-y.y)*(I.y-y.y))/U;return 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ne!==ae(m,y,I[1])||ne!==ae(m,y,I[2])||ne!==ae(m,y,I[3])}function xd(m,y,I){var U=y.paint.get(m).value;return U.kind===\"constant\"?U.value:I.programConfigurations.get(y.id).getMaxValue(m)}function kv(m){return Math.sqrt(m[0]*m[0]+m[1]*m[1])}function Kv(m,y,I,U,J){if(!y[0]&&!y[1])return m;var ne=u.convert(y)._mult(J);I===\"viewport\"&&ne._rotate(-U);for(var fe=[],Fe=0;Fe<m.length;Fe++){var Qe=m[Fe];fe.push(Qe.sub(ne))}return fe}var Cv=new Oi({\"circle-sort-key\":new Er(on.layout_circle[\"circle-sort-key\"])}),ny=new Oi({\"circle-radius\":new Er(on.paint_circle[\"circle-radius\"]),\"circle-color\":new Er(on.paint_circle[\"circle-color\"]),\"circle-blur\":new Er(on.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Er(on.paint_circle[\"circle-opacity\"]),\"circle-translate\":new At(on.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new At(on.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new 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y=m.readVarint()+m.pos,I=1,U=0,J=0,ne=0,fe=[],Fe;m.pos<y;){if(U<=0){var Qe=m.readVarint();I=Qe&7,U=Qe>>3}if(U--,I===1||I===2)J+=m.readSVarint(),ne+=m.readSVarint(),I===1&&(Fe&&fe.push(Fe),Fe=[]),Fe.push(new u(J,ne));else if(I===7)Fe&&Fe.push(Fe[0].clone());else throw new Error(\"unknown command \"+I)}return Fe&&fe.push(Fe),fe},cy.prototype.bbox=function(){var m=this._pbf;m.pos=this._geometry;for(var y=m.readVarint()+m.pos,I=1,U=0,J=0,ne=0,fe=1/0,Fe=-1/0,Qe=1/0,st=-1/0;m.pos<y;){if(U<=0){var mt=m.readVarint();I=mt&7,U=mt>>3}if(U--,I===1||I===2)J+=m.readSVarint(),ne+=m.readSVarint(),J<fe&&(fe=J),J>Fe&&(Fe=J),ne<Qe&&(Qe=ne),ne>st&&(st=ne);else if(I!==7)throw new Error(\"unknown command \"+I)}return[fe,Qe,Fe,st]},cy.prototype.toGeoJSON=function(m,y,I){var U=this.extent*Math.pow(2,I),J=this.extent*m,ne=this.extent*y,fe=this.loadGeometry(),Fe=cy.types[this.type],Qe,st;function mt(nr){for(var Lr=0;Lr<nr.length;Lr++){var Yr=nr[Lr],_i=180-(Yr.y+ne)*360/U;nr[Lr]=[(Yr.x+J)*360/U-180,360/Math.PI*Math.atan(Math.exp(_i*Math.PI/180))-90]}}switch(this.type){case 1:var Xt=[];for(Qe=0;Qe<fe.length;Qe++)Xt[Qe]=fe[Qe][0];fe=Xt,mt(fe);break;case 2:for(Qe=0;Qe<fe.length;Qe++)mt(fe[Qe]);break;case 3:for(fe=G9(fe),Qe=0;Qe<fe.length;Qe++)for(st=0;st<fe[Qe].length;st++)mt(fe[Qe][st]);break}fe.length===1?fe=fe[0]:Fe=\"Multi\"+Fe;var ur={type:\"Feature\",geometry:{type:Fe,coordinates:fe},properties:this.properties};return\"id\"in this&&(ur.id=this.id),ur};function G9(m){var y=m.length;if(y<=1)return[m];for(var I=[],U,J,ne=0;ne<y;ne++){var fe=MC(m[ne]);fe!==0&&(J===void 0&&(J=fe<0),J===fe<0?(U&&I.push(U),U=[m[ne]]):U.push(m[ne]))}return U&&I.push(U),I}function MC(m){for(var y=0,I=0,U=m.length,J=U-1,ne,fe;I<U;J=I++)ne=m[I],fe=m[J],y+=(fe.x-ne.x)*(ne.y+fe.y);return y}var vg=vS;function vS(m,y){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=m,this._keys=[],this._values=[],this._features=[],m.readFields(EC,this,y),this.length=this._features.length}function EC(m,y,I){m===15?y.version=I.readVarint():m===1?y.name=I.readString():m===5?y.extent=I.readVarint():m===2?y._features.push(I.pos):m===3?y._keys.push(I.readString()):m===4&&y._values.push(kC(I))}function kC(m){for(var y=null,I=m.readVarint()+m.pos;m.pos<I;){var U=m.readVarint()>>3;y=U===1?m.readString():U===2?m.readFloat():U===3?m.readDouble():U===4?m.readVarint64():U===5?m.readVarint():U===6?m.readSVarint():U===7?m.readBoolean():null}return y}vS.prototype.feature=function(m){if(m<0||m>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[m];var y=this._pbf.readVarint()+this._pbf.pos;return new dS(this._pbf,y,this.extent,this._keys,this._values)};var CC=j9;function j9(m,y){this.layers=m.readFields(W9,{},y)}function W9(m,y,I){if(m===3){var U=new vg(I,I.readVarint()+I.pos);U.length&&(y[U.name]=U)}}var LC=CC,C1=dS,PC=vg,pg={VectorTile:LC,VectorTileFeature:C1,VectorTileLayer:PC},IC=pg.VectorTileFeature.types,qw=500,L1=Math.pow(2,13);function cm(m,y,I,U,J,ne,fe,Fe){m.emplaceBack(y,I,Math.floor(U*L1)*2+fe,J*L1*2,ne*L1*2,Math.round(Fe))}var Hp=function(y){this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(I){return I.id}),this.index=y.index,this.hasPattern=!1,this.layoutVertexArray=new Un,this.indexArray=new ma,this.programConfigurations=new Ri(y.layers,y.zoom),this.segments=new ns,this.stateDependentLayerIds=this.layers.filter(function(I){return I.isStateDependent()}).map(function(I){return I.id})};Hp.prototype.populate=function(y,I,U){this.features=[],this.hasPattern=Fw(\"fill-extrusion\",this.layers,I);for(var J=0,ne=y;J<ne.length;J+=1){var fe=ne[J],Fe=fe.feature,Qe=fe.id,st=fe.index,mt=fe.sourceLayerIndex,Xt=this.layers[0]._featureFilter.needGeometry,ur=No(Fe,Xt);if(this.layers[0]._featureFilter.filter(new pn(this.zoom),ur,U)){var nr={id:Qe,sourceLayerIndex:mt,index:st,geometry:Xt?ur.geometry:da(Fe),properties:Fe.properties,type:Fe.type,patterns:{}};this.hasPattern?this.features.push(Kx(\"fill-extrusion\",this.layers,nr,this.zoom,I)):this.addFeature(nr,nr.geometry,st,U,{}),I.featureIndex.insert(Fe,nr.geometry,st,mt,this.index,!0)}}},Hp.prototype.addFeatures=function(y,I,U){for(var J=0,ne=this.features;J<ne.length;J+=1){var fe=ne[J],Fe=fe.geometry;this.addFeature(fe,Fe,fe.index,I,U)}},Hp.prototype.update=function(y,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(y,I,this.stateDependentLayers,U)},Hp.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},Hp.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Hp.prototype.upload=function(y){this.uploaded||(this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,TC),this.indexBuffer=y.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(y),this.uploaded=!0},Hp.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Hp.prototype.addFeature=function(y,I,U,J,ne){for(var fe=0,Fe=zw(I,qw);fe<Fe.length;fe+=1){for(var Qe=Fe[fe],st=0,mt=0,Xt=Qe;mt<Xt.length;mt+=1){var ur=Xt[mt];st+=ur.length}for(var nr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),Lr=0,Yr=Qe;Lr<Yr.length;Lr+=1){var _i=Yr[Lr];if(_i.length!==0&&!X9(_i))for(var si=0,Hi=0;Hi<_i.length;Hi++){var Ei=_i[Hi];if(Hi>=1){var Vi=_i[Hi-1];if(!Z9(Ei,Vi)){nr.vertexLength+4>ns.MAX_VERTEX_ARRAY_LENGTH&&(nr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var en=Ei.sub(Vi)._perp()._unit(),An=Vi.dist(Ei);si+An>32768&&(si=0),cm(this.layoutVertexArray,Ei.x,Ei.y,en.x,en.y,0,0,si),cm(this.layoutVertexArray,Ei.x,Ei.y,en.x,en.y,0,1,si),si+=An,cm(this.layoutVertexArray,Vi.x,Vi.y,en.x,en.y,0,0,si),cm(this.layoutVertexArray,Vi.x,Vi.y,en.x,en.y,0,1,si);var ra=nr.vertexLength;this.indexArray.emplaceBack(ra,ra+2,ra+1),this.indexArray.emplaceBack(ra+1,ra+2,ra+3),nr.vertexLength+=4,nr.primitiveLength+=2}}}}if(nr.vertexLength+st>ns.MAX_VERTEX_ARRAY_LENGTH&&(nr=this.segments.prepareSegment(st,this.layoutVertexArray,this.indexArray)),IC[y.type]===\"Polygon\"){for(var $n=[],Ba=[],_a=nr.vertexLength,Pa=0,qo=Qe;Pa<qo.length;Pa+=1){var Na=qo[Pa];if(Na.length!==0){Na!==Qe[0]&&Ba.push($n.length/2);for(var ja=0;ja<Na.length;ja++){var us=Na[ja];cm(this.layoutVertexArray,us.x,us.y,0,0,1,1,0),$n.push(us.x),$n.push(us.y)}}}for(var zo=Pw($n,Ba),rl=0;rl<zo.length;rl+=3)this.indexArray.emplaceBack(_a+zo[rl],_a+zo[rl+2],_a+zo[rl+1]);nr.primitiveLength+=zo.length/3,nr.vertexLength+=st}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,y,U,ne,J)},Z(\"FillExtrusionBucket\",Hp,{omit:[\"layers\",\"features\"]});function Z9(m,y){return m.x===y.x&&(m.x<0||m.x>rn)||m.y===y.y&&(m.y<0||m.y>rn)}function X9(m){return m.every(function(y){return y.x<0})||m.every(function(y){return y.x>rn})||m.every(function(y){return y.y<0})||m.every(function(y){return y.y>rn})}var P1=new Oi({\"fill-extrusion-opacity\":new At(on[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Er(on[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new At(on[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new At(on[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Wr(on[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Er(on[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Er(on[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new At(on[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])}),ed={paint:P1},fm=function(m){function y(I){m.call(this,I,ed)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.createBucket=function(U){return new Hp(U)},y.prototype.queryRadius=function(){return kv(this.paint.get(\"fill-extrusion-translate\"))},y.prototype.is3D=function(){return!0},y.prototype.queryIntersectsFeature=function(U,J,ne,fe,Fe,Qe,st,mt){var Xt=Kv(U,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),Qe.angle,st),ur=this.paint.get(\"fill-extrusion-height\").evaluate(J,ne),nr=this.paint.get(\"fill-extrusion-base\").evaluate(J,ne),Lr=Y9(Xt,mt,Qe,0),Yr=gS(fe,nr,ur,mt),_i=Yr[0],si=Yr[1];return RC(_i,si,Lr)},y}(cn);function fy(m,y){return m.x*y.x+m.y*y.y}function pS(m,y){if(m.length===1){for(var I=0,U=y[I++],J;!J||U.equals(J);)if(J=y[I++],!J)return 1/0;for(;I<y.length;I++){var ne=y[I],fe=m[0],Fe=J.sub(U),Qe=ne.sub(U),st=fe.sub(U),mt=fy(Fe,Fe),Xt=fy(Fe,Qe),ur=fy(Qe,Qe),nr=fy(st,Fe),Lr=fy(st,Qe),Yr=mt*ur-Xt*Xt,_i=(ur*nr-Xt*Lr)/Yr,si=(mt*Lr-Xt*nr)/Yr,Hi=1-_i-si,Ei=U.z*Hi+J.z*_i+ne.z*si;if(isFinite(Ei))return Ei}return 1/0}else{for(var Vi=1/0,en=0,An=y;en<An.length;en+=1){var ra=An[en];Vi=Math.min(Vi,ra.z)}return Vi}}function RC(m,y,I){var U=1/0;tl(I,y)&&(U=pS(I,y[0]));for(var J=0;J<y.length;J++)for(var ne=y[J],fe=m[J],Fe=0;Fe<ne.length-1;Fe++){var Qe=ne[Fe],st=ne[Fe+1],mt=fe[Fe],Xt=fe[Fe+1],ur=[Qe,st,Xt,mt,Qe];fo(I,ur)&&(U=Math.min(U,pS(I,ur)))}return U===1/0?!1:U}function gS(m,y,I,U){for(var J=[],ne=[],fe=U[8]*y,Fe=U[9]*y,Qe=U[10]*y,st=U[11]*y,mt=U[8]*I,Xt=U[9]*I,ur=U[10]*I,nr=U[11]*I,Lr=0,Yr=m;Lr<Yr.length;Lr+=1){for(var _i=Yr[Lr],si=[],Hi=[],Ei=0,Vi=_i;Ei<Vi.length;Ei+=1){var en=Vi[Ei],An=en.x,ra=en.y,$n=U[0]*An+U[4]*ra+U[12],Ba=U[1]*An+U[5]*ra+U[13],_a=U[2]*An+U[6]*ra+U[14],Pa=U[3]*An+U[7]*ra+U[15],qo=$n+fe,Na=Ba+Fe,ja=_a+Qe,us=Pa+st,zo=$n+mt,rl=Ba+Xt,ou=_a+ur,il=Pa+nr,nl=new u(qo/us,Na/us);nl.z=ja/us,si.push(nl);var Ws=new u(zo/il,rl/il);Ws.z=ou/il,Hi.push(Ws)}J.push(si),ne.push(Hi)}return[J,ne]}function Y9(m,y,I,U){for(var J=[],ne=0,fe=m;ne<fe.length;ne+=1){var Fe=fe[ne],Qe=[Fe.x,Fe.y,U,1];ly(Qe,Qe,y),J.push(new u(Qe[0]/Qe[3],Qe[1]/Qe[3]))}return J}var DC=Dn([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),zC=DC.members,K9=Dn([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),FC=K9.members,mS=pg.VectorTileFeature.types,Ow=63,qC=Math.cos(75/2*(Math.PI/180)),Qx=15,yS=20,OC=15,Bw=1/2,eb=Math.pow(2,OC-1)/Bw,Gf=function(y){var I=this;this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(U){return U.id}),this.index=y.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(function(U){I.gradients[U.id]={}}),this.layoutVertexArray=new gn,this.layoutVertexArray2=new ca,this.indexArray=new ma,this.programConfigurations=new Ri(y.layers,y.zoom),this.segments=new ns,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(function(U){return U.isStateDependent()}).map(function(U){return U.id})};Gf.prototype.populate=function(y,I,U){this.hasPattern=Fw(\"line\",this.layers,I);for(var J=this.layers[0].layout.get(\"line-sort-key\"),ne=[],fe=0,Fe=y;fe<Fe.length;fe+=1){var Qe=Fe[fe],st=Qe.feature,mt=Qe.id,Xt=Qe.index,ur=Qe.sourceLayerIndex,nr=this.layers[0]._featureFilter.needGeometry,Lr=No(st,nr);if(this.layers[0]._featureFilter.filter(new pn(this.zoom),Lr,U)){var Yr=J?J.evaluate(Lr,{},U):void 0,_i={id:mt,properties:st.properties,type:st.type,sourceLayerIndex:ur,index:Xt,geometry:nr?Lr.geometry:da(st),patterns:{},sortKey:Yr};ne.push(_i)}}J&&ne.sort(function(_a,Pa){return _a.sortKey-Pa.sortKey});for(var si=0,Hi=ne;si<Hi.length;si+=1){var Ei=Hi[si],Vi=Ei,en=Vi.geometry,An=Vi.index,ra=Vi.sourceLayerIndex;if(this.hasPattern){var $n=Kx(\"line\",this.layers,Ei,this.zoom,I);this.patternFeatures.push($n)}else this.addFeature(Ei,en,An,U,{});var Ba=y[An].feature;I.featureIndex.insert(Ba,en,An,ra,this.index)}},Gf.prototype.update=function(y,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(y,I,this.stateDependentLayers,U)},Gf.prototype.addFeatures=function(y,I,U){for(var J=0,ne=this.patternFeatures;J<ne.length;J+=1){var fe=ne[J];this.addFeature(fe,fe.geometry,fe.index,I,U)}},Gf.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},Gf.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Gf.prototype.upload=function(y){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=y.createVertexBuffer(this.layoutVertexArray2,FC)),this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,zC),this.indexBuffer=y.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(y),this.uploaded=!0},Gf.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Gf.prototype.lineFeatureClips=function(y){if(y.properties&&y.properties.hasOwnProperty(\"mapbox_clip_start\")&&y.properties.hasOwnProperty(\"mapbox_clip_end\")){var I=+y.properties.mapbox_clip_start,U=+y.properties.mapbox_clip_end;return{start:I,end:U}}},Gf.prototype.addFeature=function(y,I,U,J,ne){var fe=this.layers[0].layout,Fe=fe.get(\"line-join\").evaluate(y,{}),Qe=fe.get(\"line-cap\"),st=fe.get(\"line-miter-limit\"),mt=fe.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(y);for(var Xt=0,ur=I;Xt<ur.length;Xt+=1){var nr=ur[Xt];this.addLine(nr,y,Fe,Qe,st,mt)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,y,U,ne,J)},Gf.prototype.addLine=function(y,I,U,J,ne,fe){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var Fe=0;Fe<y.length-1;Fe++)this.totalDistance+=y[Fe].dist(y[Fe+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var Qe=mS[I.type]===\"Polygon\",st=y.length;st>=2&&y[st-1].equals(y[st-2]);)st--;for(var mt=0;mt<st-1&&y[mt].equals(y[mt+1]);)mt++;if(!(st<(Qe?3:2))){U===\"bevel\"&&(ne=1.05);var Xt=this.overscaling<=16?Qx*rn/(512*this.overscaling):0,ur=this.segments.prepareSegment(st*10,this.layoutVertexArray,this.indexArray),nr,Lr=void 0,Yr=void 0,_i=void 0,si=void 0;this.e1=this.e2=-1,Qe&&(nr=y[st-2],si=y[mt].sub(nr)._unit()._perp());for(var Hi=mt;Hi<st;Hi++)if(Yr=Hi===st-1?Qe?y[mt+1]:void 0:y[Hi+1],!(Yr&&y[Hi].equals(Yr))){si&&(_i=si),nr&&(Lr=nr),nr=y[Hi],si=Yr?Yr.sub(nr)._unit()._perp():_i,_i=_i||si;var Ei=_i.add(si);(Ei.x!==0||Ei.y!==0)&&Ei._unit();var Vi=_i.x*si.x+_i.y*si.y,en=Ei.x*si.x+Ei.y*si.y,An=en!==0?1/en:1/0,ra=2*Math.sqrt(2-2*en),$n=en<qC&&Lr&&Yr,Ba=_i.x*si.y-_i.y*si.x>0;if($n&&Hi>mt){var _a=nr.dist(Lr);if(_a>2*Xt){var Pa=nr.sub(nr.sub(Lr)._mult(Xt/_a)._round());this.updateDistance(Lr,Pa),this.addCurrentVertex(Pa,_i,0,0,ur),Lr=Pa}}var qo=Lr&&Yr,Na=qo?U:Qe?\"butt\":J;if(qo&&Na===\"round\"&&(An<fe?Na=\"miter\":An<=2&&(Na=\"fakeround\")),Na===\"miter\"&&An>ne&&(Na=\"bevel\"),Na===\"bevel\"&&(An>2&&(Na=\"flipbevel\"),An<ne&&(Na=\"miter\")),Lr&&this.updateDistance(Lr,nr),Na===\"miter\")Ei._mult(An),this.addCurrentVertex(nr,Ei,0,0,ur);else if(Na===\"flipbevel\"){if(An>100)Ei=si.mult(-1);else{var ja=An*_i.add(si).mag()/_i.sub(si).mag();Ei._perp()._mult(ja*(Ba?-1:1))}this.addCurrentVertex(nr,Ei,0,0,ur),this.addCurrentVertex(nr,Ei.mult(-1),0,0,ur)}else if(Na===\"bevel\"||Na===\"fakeround\"){var us=-Math.sqrt(An*An-1),zo=Ba?us:0,rl=Ba?0:us;if(Lr&&this.addCurrentVertex(nr,_i,zo,rl,ur),Na===\"fakeround\")for(var ou=Math.round(ra*180/Math.PI/yS),il=1;il<ou;il++){var nl=il/ou;if(nl!==.5){var Ws=nl-.5,Au=1.0904+Vi*(-3.2452+Vi*(3.55645-Vi*1.43519)),Ou=.848013+Vi*(-1.06021+Vi*.215638);nl=nl+nl*Ws*(nl-1)*(Au*Ws*Ws+Ou)}var nf=si.sub(_i)._mult(nl)._add(_i)._unit()._mult(Ba?-1:1);this.addHalfVertex(nr,nf.x,nf.y,!1,Ba,0,ur)}Yr&&this.addCurrentVertex(nr,si,-zo,-rl,ur)}else if(Na===\"butt\")this.addCurrentVertex(nr,Ei,0,0,ur);else if(Na===\"square\"){var bf=Lr?1:-1;this.addCurrentVertex(nr,Ei,bf,bf,ur)}else Na===\"round\"&&(Lr&&(this.addCurrentVertex(nr,_i,0,0,ur),this.addCurrentVertex(nr,_i,1,1,ur,!0)),Yr&&(this.addCurrentVertex(nr,si,-1,-1,ur,!0),this.addCurrentVertex(nr,si,0,0,ur)));if($n&&Hi<st-1){var qh=nr.dist(Yr);if(qh>2*Xt){var Zf=nr.add(Yr.sub(nr)._mult(Xt/qh)._round());this.updateDistance(nr,Zf),this.addCurrentVertex(Zf,si,0,0,ur),nr=Zf}}}}},Gf.prototype.addCurrentVertex=function(y,I,U,J,ne,fe){fe===void 0&&(fe=!1);var Fe=I.x+I.y*U,Qe=I.y-I.x*U,st=-I.x+I.y*J,mt=-I.y-I.x*J;this.addHalfVertex(y,Fe,Qe,fe,!1,U,ne),this.addHalfVertex(y,st,mt,fe,!0,-J,ne),this.distance>eb/2&&this.totalDistance===0&&(this.distance=0,this.addCurrentVertex(y,I,U,J,ne,fe))},Gf.prototype.addHalfVertex=function(y,I,U,J,ne,fe,Fe){var Qe=y.x,st=y.y,mt=this.lineClips?this.scaledDistance*(eb-1):this.scaledDistance,Xt=mt*Bw;if(this.layoutVertexArray.emplaceBack((Qe<<1)+(J?1:0),(st<<1)+(ne?1:0),Math.round(Ow*I)+128,Math.round(Ow*U)+128,(fe===0?0:fe<0?-1:1)+1|(Xt&63)<<2,Xt>>6),this.lineClips){var ur=this.scaledDistance-this.lineClips.start,nr=this.lineClips.end-this.lineClips.start,Lr=ur/nr;this.layoutVertexArray2.emplaceBack(Lr,this.lineClipsArray.length)}var 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ur=0,nr=R1,Lr=0,Yr=0,_i=Fe===\"right\"?1:Fe===\"left\"?0:.5,si=0,Hi=0,Ei=J;Hi<Ei.length;Hi+=1){var Vi=Ei[Hi];Vi.trim();var en=Vi.getMaxScale(),An=(en-1)*Zi,ra={positionedGlyphs:[],lineOffset:0};m.positionedLines[si]=ra;var $n=ra.positionedGlyphs,Ba=0;if(!Vi.length()){nr+=ne,++si;continue}for(var _a=0;_a<Vi.length();_a++){var Pa=Vi.getSection(_a),qo=Vi.getSectionIndex(_a),Na=Vi.getCharCode(_a),ja=0,us=null,zo=null,rl=null,ou=Zi,il=!(Qe===uv.horizontal||!mt&&!Ir(Na)||mt&&(m0[Na]||qr(Na)));if(Pa.imageName){var nf=U[Pa.imageName];if(!nf)continue;rl=Pa.imageName,m.iconsInText=m.iconsInText||!0,zo=nf.paddedRect;var bf=nf.displaySize;Pa.scale=Pa.scale*Zi/Xt,us={width:bf[0],height:bf[1],left:oc,top:-Gp,advance:il?bf[1]:bf[0]};var qh=Zi-bf[1]*Pa.scale;ja=An+qh,ou=us.advance;var Zf=il?bf[0]*Pa.scale-Zi*en:bf[1]*Pa.scale-Zi*en;Zf>0&&Zf>Ba&&(Ba=Zf)}else{var nl=I[Pa.fontStack],Ws=nl&&nl[Na];if(Ws&&Ws.rect)zo=Ws.rect,us=Ws.metrics;else{var 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y=0,I=0;I<m.length-1;I++)y+=m[I].dist(m[I+1]);return y}function bQ(m,y,I){return m?3/5*y*I:0}function wQ(m,y){return Math.max(m?m.right-m.left:0,y?y.right-y.left:0)}function K$e(m,y,I,U,J,ne){for(var fe=bQ(I,J,ne),Fe=wQ(I,U)*ne,Qe=0,st=xQ(m)/2,mt=0;mt<m.length-1;mt++){var Xt=m[mt],ur=m[mt+1],nr=Xt.dist(ur);if(Qe+nr>st){var Lr=(st-Qe)/nr,Yr=Qs(Xt.x,ur.x,Lr),_i=Qs(Xt.y,ur.y,Lr),si=new Gd(Yr,_i,ur.angleTo(Xt),mt);return si._round(),!fe||_Q(m,si,Fe,fe,y)?si:void 0}Qe+=nr}}function J$e(m,y,I,U,J,ne,fe,Fe,Qe){var st=bQ(U,ne,fe),mt=wQ(U,J),Xt=mt*fe,ur=m[0].x===0||m[0].x===Qe||m[0].y===0||m[0].y===Qe;y-Xt<y/4&&(y=Xt+y/4);var nr=ne*2,Lr=ur?y/2*Fe%y:(mt/2+nr)*fe*Fe%y;return TQ(m,Lr,y,st,I,Xt,ur,!1,Qe)}function TQ(m,y,I,U,J,ne,fe,Fe,Qe){for(var st=ne/2,mt=xQ(m),Xt=0,ur=y-I,nr=[],Lr=0;Lr<m.length-1;Lr++){for(var Yr=m[Lr],_i=m[Lr+1],si=Yr.dist(_i),Hi=_i.angleTo(Yr);ur+I<Xt+si;){ur+=I;var Ei=(ur-Xt)/si,Vi=Qs(Yr.x,_i.x,Ei),en=Qs(Yr.y,_i.y,Ei);if(Vi>=0&&Vi<Qe&&en>=0&&en<Qe&&ur-st>=0&&ur+st<=mt){var 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Pa=J?[Yr.x+ra,Yr.y]:[0,0],qo=J?[0,0]:[Yr.x+ra+I[0],Yr.y+I[1]-en],Na=[0,0];An&&(Na=qo,qo=[0,0]);var ja=(Yr.metrics.left-Hi)*Yr.scale-ra+qo[0],us=(-Yr.metrics.top-Hi)*Yr.scale+qo[1],zo=ja+_i.w*Yr.scale/Vi,rl=us+_i.h*Yr.scale/Vi,ou=new u(ja,us),il=new u(zo,us),nl=new u(ja,rl),Ws=new u(zo,rl);if(An){var Au=new u(-ra,ra-R1),Ou=-Math.PI/2,nf=Zi/2-ra,bf=Yr.imageName?nf:0,qh=new u(5-R1-nf,-bf),Zf=new(Function.prototype.bind.apply(u,[null].concat(Na)));ou._rotateAround(Ou,Au)._add(qh)._add(Zf),il._rotateAround(Ou,Au)._add(qh)._add(Zf),nl._rotateAround(Ou,Au)._add(qh)._add(Zf),Ws._rotateAround(Ou,Au)._add(qh)._add(Zf)}if(Qe){var jd=Math.sin(Qe),Wd=Math.cos(Qe),Oh=[Wd,-jd,jd,Wd];ou._matMult(Oh),il._matMult(Oh),nl._matMult(Oh),Ws._matMult(Oh)}var fv=new u(0,0),hv=new u(0,0),hh=0,dv=0;st.push({tl:ou,tr:il,bl:nl,br:Ws,tex:_i,writingMode:y.writingMode,glyphOffset:Pa,sectionIndex:Yr.sectionIndex,isSDF:Ei,pixelOffsetTL:fv,pixelOffsetBR:hv,minFontScaleX:hh,minFontScaleY:dv})}}return st}var 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U=(this.length>>1)-1;U>=0;U--)this._down(U)};jw.prototype.push=function(y){this.data.push(y),this.length++,this._up(this.length-1)},jw.prototype.pop=function(){if(this.length!==0){var y=this.data[0],I=this.data.pop();return this.length--,this.length>0&&(this.data[0]=I,this._down(0)),y}},jw.prototype.peek=function(){return this.data[0]},jw.prototype._up=function(y){for(var I=this,U=I.data,J=I.compare,ne=U[y];y>0;){var fe=y-1>>1,Fe=U[fe];if(J(ne,Fe)>=0)break;U[y]=Fe,y=fe}U[y]=ne},jw.prototype._down=function(y){for(var I=this,U=I.data,J=I.compare,ne=this.length>>1,fe=U[y];y<ne;){var Fe=(y<<1)+1,Qe=U[Fe],st=Fe+1;if(st<this.length&&J(U[st],Qe)<0&&(Fe=st,Qe=U[st]),J(Qe,fe)>=0)break;U[y]=Qe,y=Fe}U[y]=fe};function Q$e(m,y){return m<y?-1:m>y?1:0}function eQe(m,y,I){y===void 0&&(y=1),I===void 0&&(I=!1);for(var U=1/0,J=1/0,ne=-1/0,fe=-1/0,Fe=m[0],Qe=0;Qe<Fe.length;Qe++){var st=Fe[Qe];(!Qe||st.x<U)&&(U=st.x),(!Qe||st.y<J)&&(J=st.y),(!Qe||st.x>ne)&&(ne=st.x),(!Qe||st.y>fe)&&(fe=st.y)}var mt=ne-U,Xt=fe-J,ur=Math.min(mt,Xt),nr=ur/2,Lr=new jw([],tQe);if(ur===0)return new u(U,J);for(var Yr=U;Yr<ne;Yr+=ur)for(var _i=J;_i<fe;_i+=ur)Lr.push(new Ww(Yr+nr,_i+nr,nr,m));for(var si=iQe(m),Hi=Lr.length;Lr.length;){var Ei=Lr.pop();(Ei.d>si.d||!si.d)&&(si=Ei,I&&console.log(\"found best %d after %d probes\",Math.round(1e4*Ei.d)/1e4,Hi)),!(Ei.max-si.d<=y)&&(nr=Ei.h/2,Lr.push(new Ww(Ei.p.x-nr,Ei.p.y-nr,nr,m)),Lr.push(new Ww(Ei.p.x+nr,Ei.p.y-nr,nr,m)),Lr.push(new Ww(Ei.p.x-nr,Ei.p.y+nr,nr,m)),Lr.push(new Ww(Ei.p.x+nr,Ei.p.y+nr,nr,m)),Hi+=4)}return I&&(console.log(\"num probes: \"+Hi),console.log(\"best distance: \"+si.d)),si.p}function tQe(m,y){return y.max-m.max}function Ww(m,y,I,U){this.p=new u(m,y),this.h=I,this.d=rQe(this.p,U),this.max=this.d+this.h*Math.SQRT2}function rQe(m,y){for(var I=!1,U=1/0,J=0;J<y.length;J++)for(var ne=y[J],fe=0,Fe=ne.length,Qe=Fe-1;fe<Fe;Qe=fe++){var st=ne[fe],mt=ne[Qe];st.y>m.y!=mt.y>m.y&&m.x<(mt.x-st.x)*(m.y-st.y)/(mt.y-st.y)+st.x&&(I=!I),U=Math.min(U,cg(m,st,mt))}return(I?1:-1)*Math.sqrt(U)}function iQe(m){for(var y=0,I=0,U=0,J=m[0],ne=0,fe=J.length,Fe=fe-1;ne<fe;Fe=ne++){var Qe=J[ne],st=J[Fe],mt=Qe.x*st.y-st.x*Qe.y;I+=(Qe.x+st.x)*mt,U+=(Qe.y+st.y)*mt,y+=mt*3}return new Ww(I/y,U/y,0,m)}var Zw=7,iq=Number.POSITIVE_INFINITY;function EQ(m,y){function I(J,ne){var fe=0,Fe=0;ne<0&&(ne=0);var Qe=ne/Math.sqrt(2);switch(J){case\"top-right\":case\"top-left\":Fe=Qe-Zw;break;case\"bottom-right\":case\"bottom-left\":Fe=-Qe+Zw;break;case\"bottom\":Fe=-ne+Zw;break;case\"top\":Fe=ne-Zw;break}switch(J){case\"top-right\":case\"bottom-right\":fe=-Qe;break;case\"top-left\":case\"bottom-left\":fe=Qe;break;case\"left\":fe=ne;break;case\"right\":fe=-ne;break}return[fe,Fe]}function U(J,ne,fe){var Fe=0,Qe=0;switch(ne=Math.abs(ne),fe=Math.abs(fe),J){case\"top-right\":case\"top-left\":case\"top\":Qe=fe-Zw;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":Qe=-fe+Zw;break}switch(J){case\"top-right\":case\"bottom-right\":case\"right\":Fe=-ne;break;case\"top-left\":case\"bottom-left\":case\"left\":Fe=ne;break}return[Fe,Qe]}return y[1]!==iq?U(m,y[0],y[1]):I(m,y[0])}function nQe(m,y,I,U,J,ne,fe){m.createArrays();var Fe=512*m.overscaling;m.tilePixelRatio=rn/Fe,m.compareText={},m.iconsNeedLinear=!1;var Qe=m.layers[0].layout,st=m.layers[0]._unevaluatedLayout._values,mt={};if(m.textSizeData.kind===\"composite\"){var Xt=m.textSizeData,ur=Xt.minZoom,nr=Xt.maxZoom;mt.compositeTextSizes=[st[\"text-size\"].possiblyEvaluate(new pn(ur),fe),st[\"text-size\"].possiblyEvaluate(new pn(nr),fe)]}if(m.iconSizeData.kind===\"composite\"){var Lr=m.iconSizeData,Yr=Lr.minZoom,_i=Lr.maxZoom;mt.compositeIconSizes=[st[\"icon-size\"].possiblyEvaluate(new pn(Yr),fe),st[\"icon-size\"].possiblyEvaluate(new pn(_i),fe)]}mt.layoutTextSize=st[\"text-size\"].possiblyEvaluate(new pn(m.zoom+1),fe),mt.layoutIconSize=st[\"icon-size\"].possiblyEvaluate(new pn(m.zoom+1),fe),mt.textMaxSize=st[\"text-size\"].possiblyEvaluate(new pn(18));for(var si=Qe.get(\"text-line-height\")*Zi,Hi=Qe.get(\"text-rotation-alignment\")===\"map\"&&Qe.get(\"symbol-placement\")!==\"point\",Ei=Qe.get(\"text-keep-upright\"),Vi=Qe.get(\"text-size\"),en=function(){var $n=ra[An],Ba=Qe.get(\"text-font\").evaluate($n,{},fe).join(\",\"),_a=Vi.evaluate($n,{},fe),Pa=mt.layoutTextSize.evaluate($n,{},fe),qo=mt.layoutIconSize.evaluate($n,{},fe),Na={horizontal:{},vertical:void 0},ja=$n.text,us=[0,0];if(ja){var zo=ja.toString(),rl=Qe.get(\"text-letter-spacing\").evaluate($n,{},fe)*Zi,ou=or(zo)?rl:0,il=Qe.get(\"text-anchor\").evaluate($n,{},fe),nl=Qe.get(\"text-variable-anchor\");if(!nl){var Ws=Qe.get(\"text-radial-offset\").evaluate($n,{},fe);Ws?us=EQ(il,[Ws*Zi,iq]):us=Qe.get(\"text-offset\").evaluate($n,{},fe).map(function(py){return py*Zi})}var Au=Hi?\"center\":Qe.get(\"text-justify\").evaluate($n,{},fe),Ou=Qe.get(\"symbol-placement\"),nf=Ou===\"point\"?Qe.get(\"text-max-width\").evaluate($n,{},fe)*Zi:0,bf=function(){m.allowVerticalPlacement&&zt(zo)&&(Na.vertical=Vw(ja,y,I,J,Ba,nf,si,il,\"left\",ou,us,uv.vertical,!0,Ou,Pa,_a))};if(!Hi&&nl){for(var qh=Au===\"auto\"?nl.map(function(py){return nq(py)}):[Au],Zf=!1,jd=0;jd<qh.length;jd++){var Wd=qh[jd];if(!Na.horizontal[Wd])if(Zf)Na.horizontal[Wd]=Na.horizontal[0];else{var Oh=Vw(ja,y,I,J,Ba,nf,si,\"center\",Wd,ou,us,uv.horizontal,!1,Ou,Pa,_a);Oh&&(Na.horizontal[Wd]=Oh,Zf=Oh.positionedLines.length===1)}}bf()}else{Au===\"auto\"&&(Au=nq(il));var fv=Vw(ja,y,I,J,Ba,nf,si,il,Au,ou,us,uv.horizontal,!1,Ou,Pa,_a);fv&&(Na.horizontal[Au]=fv),bf(),zt(zo)&&Hi&&Ei&&(Na.vertical=Vw(ja,y,I,J,Ba,nf,si,il,Au,ou,us,uv.vertical,!1,Ou,Pa,_a))}}var hv=void 0,hh=!1;if($n.icon&&$n.icon.name){var dv=U[$n.icon.name];dv&&(hv=tp(J[$n.icon.name],Qe.get(\"icon-offset\").evaluate($n,{},fe),Qe.get(\"icon-anchor\").evaluate($n,{},fe)),hh=dv.sdf,m.sdfIcons===void 0?m.sdfIcons=dv.sdf:m.sdfIcons!==dv.sdf&&re(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),(dv.pixelRatio!==m.pixelRatio||Qe.get(\"icon-rotate\").constantOr(1)!==0)&&(m.iconsNeedLinear=!0))}var _p=CQ(Na.horizontal)||Na.vertical;m.iconsInText=_p?_p.iconsInText:!1,(_p||hv)&&aQe(m,$n,Na,hv,U,mt,Pa,qo,us,hh,fe)},An=0,ra=m.features;An<ra.length;An+=1)en();ne&&m.generateCollisionDebugBuffers()}function nq(m){switch(m){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function aQe(m,y,I,U,J,ne,fe,Fe,Qe,st,mt){var Xt=ne.textMaxSize.evaluate(y,{});Xt===void 0&&(Xt=fe);var ur=m.layers[0].layout,nr=ur.get(\"icon-offset\").evaluate(y,{},mt),Lr=CQ(I.horizontal),Yr=24,_i=fe/Yr,si=m.tilePixelRatio*_i,Hi=m.tilePixelRatio*Xt/Yr,Ei=m.tilePixelRatio*Fe,Vi=m.tilePixelRatio*ur.get(\"symbol-spacing\"),en=ur.get(\"text-padding\")*m.tilePixelRatio,An=ur.get(\"icon-padding\")*m.tilePixelRatio,ra=ur.get(\"text-max-angle\")/180*Math.PI,$n=ur.get(\"text-rotation-alignment\")===\"map\"&&ur.get(\"symbol-placement\")!==\"point\",Ba=ur.get(\"icon-rotation-alignment\")===\"map\"&&ur.get(\"symbol-placement\")!==\"point\",_a=ur.get(\"symbol-placement\"),Pa=Vi/2,qo=ur.get(\"icon-text-fit\"),Na;U&&qo!==\"none\"&&(m.allowVerticalPlacement&&I.vertical&&(Na=hm(U,I.vertical,qo,ur.get(\"icon-text-fit-padding\"),nr,_i)),Lr&&(U=hm(U,Lr,qo,ur.get(\"icon-text-fit-padding\"),nr,_i)));var ja=function($w,y0){y0.x<0||y0.x>=rn||y0.y<0||y0.y>=rn||oQe(m,y0,$w,I,U,J,Na,m.layers[0],m.collisionBoxArray,y.index,y.sourceLayerIndex,m.index,si,en,$n,Qe,Ei,An,Ba,nr,y,ne,st,mt,fe)};if(_a===\"line\")for(var us=0,zo=AQ(y.geometry,0,0,rn,rn);us<zo.length;us+=1)for(var rl=zo[us],ou=J$e(rl,Vi,ra,I.vertical||Lr,U,Yr,Hi,m.overscaling,rn),il=0,nl=ou;il<nl.length;il+=1){var Ws=nl[il],Au=Lr;(!Au||!sQe(m,Au.text,Pa,Ws))&&ja(rl,Ws)}else if(_a===\"line-center\")for(var Ou=0,nf=y.geometry;Ou<nf.length;Ou+=1){var bf=nf[Ou];if(bf.length>1){var qh=K$e(bf,ra,I.vertical||Lr,U,Yr,Hi);qh&&ja(bf,qh)}}else if(y.type===\"Polygon\")for(var Zf=0,jd=zw(y.geometry,0);Zf<jd.length;Zf+=1){var Wd=jd[Zf],Oh=eQe(Wd,16);ja(Wd[0],new Gd(Oh.x,Oh.y,0))}else if(y.type===\"LineString\")for(var fv=0,hv=y.geometry;fv<hv.length;fv+=1){var hh=hv[fv];ja(hh,new Gd(hh[0].x,hh[0].y,0))}else if(y.type===\"Point\")for(var dv=0,_p=y.geometry;dv<_p.length;dv+=1)for(var py=_p[dv],F1=0,q1=py;F1<q1.length;F1+=1){var O1=q1[F1];ja([O1],new Gd(O1.x,O1.y,0))}}var TS=255,D1=TS*Sd;function kQ(m,y,I,U,J,ne,fe,Fe,Qe,st,mt,Xt,ur,nr,Lr){var Yr=$$e(y,I,Fe,J,ne,fe,U,m.allowVerticalPlacement),_i=m.textSizeData,si=null;_i.kind===\"source\"?(si=[Sd*J.layout.get(\"text-size\").evaluate(fe,{})],si[0]>D1&&re(m.layerIds[0]+': Value for \"text-size\" is >= '+TS+'. 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Reduce your \"icon-size\".')):hv.kind===\"composite\"&&(hh=[Sd*en.compositeIconSizes[0].evaluate(Vi,{},ra),Sd*en.compositeIconSizes[1].evaluate(Vi,{},ra)],(hh[0]>D1||hh[1]>D1)&&re(m.layerIds[0]+': Value for \"icon-size\" is >= '+TS+'. Reduce your \"icon-size\".')),m.addSymbols(m.icon,Oh,hh,Ei,Hi,Vi,!1,y,_a.lineStartIndex,_a.lineLength,-1,ra),il=m.icon.placedSymbolArray.length-1,fv&&(zo=fv.length*4,m.addSymbols(m.icon,fv,hh,Ei,Hi,Vi,uv.vertical,y,_a.lineStartIndex,_a.lineLength,-1,ra),nl=m.icon.placedSymbolArray.length-1)}for(var dv in U.horizontal){var _p=U.horizontal[dv];if(!Pa){Au=$(_p.text);var py=Fe.layout.get(\"text-rotate\").evaluate(Vi,{},ra);Pa=new GC(Qe,y,st,mt,Xt,_p,ur,nr,Lr,py)}var F1=_p.positionedLines.length===1;if(rl+=kQ(m,y,_p,ne,Fe,Lr,Vi,Yr,_a,U.vertical?uv.horizontal:uv.horizontalOnly,F1?Object.keys(U.horizontal):[dv],Ws,il,en,ra),F1)break}U.vertical&&(ou+=kQ(m,y,U.vertical,ne,Fe,Lr,Vi,Yr,_a,uv.vertical,[\"vertical\"],Ws,nl,en,ra));var q1=Pa?Pa.boxStartIndex:m.collisionBoxArray.length,O1=Pa?Pa.boxEndIndex:m.collisionBoxArray.length,$w=Na?Na.boxStartIndex:m.collisionBoxArray.length,y0=Na?Na.boxEndIndex:m.collisionBoxArray.length,YC=qo?qo.boxStartIndex:m.collisionBoxArray.length,cq=qo?qo.boxEndIndex:m.collisionBoxArray.length,KC=ja?ja.boxStartIndex:m.collisionBoxArray.length,fq=ja?ja.boxEndIndex:m.collisionBoxArray.length,jp=-1,Qw=function(MS,jQ){return MS&&MS.circleDiameter?Math.max(MS.circleDiameter,jQ):jQ};jp=Qw(Pa,jp),jp=Qw(Na,jp),jp=Qw(qo,jp),jp=Qw(ja,jp);var JC=jp>-1?1:0;JC&&(jp*=$n/Zi),m.glyphOffsetArray.length>=au.MAX_GLYPHS&&re(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),Vi.sortKey!==void 0&&m.addToSortKeyRanges(m.symbolInstances.length,Vi.sortKey),m.symbolInstances.emplaceBack(y.x,y.y,Ws.right>=0?Ws.right:-1,Ws.center>=0?Ws.center:-1,Ws.left>=0?Ws.left:-1,Ws.vertical||-1,il,nl,Au,q1,O1,$w,y0,YC,cq,KC,fq,st,rl,ou,us,zo,JC,0,ur,Ou,nf,jp)}function sQe(m,y,I,U){var J=m.compareText;if(!(y in J))J[y]=[];else for(var ne=J[y],fe=ne.length-1;fe>=0;fe--)if(U.dist(ne[fe])<I)return!0;return J[y].push(U),!1}var lQe=pg.VectorTileFeature.types,uQe=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function jC(m,y,I,U,J,ne,fe,Fe,Qe,st,mt,Xt,ur){var nr=Fe?Math.min(D1,Math.round(Fe[0])):0,Lr=Fe?Math.min(D1,Math.round(Fe[1])):0;m.emplaceBack(y,I,Math.round(U*32),Math.round(J*32),ne,fe,(nr<<1)+(Qe?1:0),Lr,st*16,mt*16,Xt*256,ur*256)}function aq(m,y,I){m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I)}function cQe(m){for(var y=0,I=m.sections;y<I.length;y+=1){var U=I[y];if(vi(U.text))return!0}return!1}var Xw=function(y){this.layoutVertexArray=new Za,this.indexArray=new ma,this.programConfigurations=y,this.segments=new ns,this.dynamicLayoutVertexArray=new wn,this.opacityVertexArray=new vn,this.placedSymbolArray=new El};Xw.prototype.isEmpty=function(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0},Xw.prototype.upload=function(y,I,U,J){this.isEmpty()||(U&&(this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,te.members),this.indexBuffer=y.createIndexBuffer(this.indexArray,I),this.dynamicLayoutVertexBuffer=y.createVertexBuffer(this.dynamicLayoutVertexArray,ue.members,!0),this.opacityVertexBuffer=y.createVertexBuffer(this.opacityVertexArray,uQe,!0),this.opacityVertexBuffer.itemSize=1),(U||J)&&this.programConfigurations.upload(y))},Xw.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Z(\"SymbolBuffers\",Xw);var AS=function(y,I,U){this.layoutVertexArray=new y,this.layoutAttributes=I,this.indexArray=new U,this.segments=new ns,this.collisionVertexArray=new Vn};AS.prototype.upload=function(y){this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=y.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=y.createVertexBuffer(this.collisionVertexArray,De.members,!0)},AS.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Z(\"CollisionBuffers\",AS);var au=function(y){this.collisionBoxArray=y.collisionBoxArray,this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(Qe){return Qe.id}),this.index=y.index,this.pixelRatio=y.pixelRatio,this.sourceLayerIndex=y.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=oy([]),this.placementViewportMatrix=oy([]);var I=this.layers[0],U=I._unevaluatedLayout._values;this.textSizeData=yp(this.zoom,U[\"text-size\"]),this.iconSizeData=yp(this.zoom,U[\"icon-size\"]);var J=this.layers[0].layout,ne=J.get(\"symbol-sort-key\"),fe=J.get(\"symbol-z-order\");this.canOverlap=J.get(\"text-allow-overlap\")||J.get(\"icon-allow-overlap\")||J.get(\"text-ignore-placement\")||J.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=fe!==\"viewport-y\"&&ne.constantOr(1)!==void 0;var Fe=fe===\"viewport-y\"||fe===\"auto\"&&!this.sortFeaturesByKey;this.sortFeaturesByY=Fe&&this.canOverlap,J.get(\"symbol-placement\")===\"point\"&&(this.writingModes=J.get(\"text-writing-mode\").map(function(Qe){return uv[Qe]})),this.stateDependentLayerIds=this.layers.filter(function(Qe){return Qe.isStateDependent()}).map(function(Qe){return Qe.id}),this.sourceID=y.sourceID};au.prototype.createArrays=function(){this.text=new Xw(new Ri(this.layers,this.zoom,function(y){return/^text/.test(y)})),this.icon=new Xw(new Ri(this.layers,this.zoom,function(y){return/^icon/.test(y)})),this.glyphOffsetArray=new yf,this.lineVertexArray=new Hl,this.symbolInstances=new wc},au.prototype.calculateGlyphDependencies=function(y,I,U,J,ne){for(var fe=0;fe<y.length;fe++)if(I[y.charCodeAt(fe)]=!0,(U||J)&&ne){var Fe=pi[y.charAt(fe)];Fe&&(I[Fe.charCodeAt(0)]=!0)}},au.prototype.populate=function(y,I,U){var J=this.layers[0],ne=J.layout,fe=ne.get(\"text-font\"),Fe=ne.get(\"text-field\"),Qe=ne.get(\"icon-image\"),st=(Fe.value.kind!==\"constant\"||Fe.value.value instanceof Ul&&!Fe.value.value.isEmpty()||Fe.value.value.toString().length>0)&&(fe.value.kind!==\"constant\"||fe.value.value.length>0),mt=Qe.value.kind!==\"constant\"||!!Qe.value.value||Object.keys(Qe.parameters).length>0,Xt=ne.get(\"symbol-sort-key\");if(this.features=[],!(!st&&!mt)){for(var ur=I.iconDependencies,nr=I.glyphDependencies,Lr=I.availableImages,Yr=new pn(this.zoom),_i=0,si=y;_i<si.length;_i+=1){var Hi=si[_i],Ei=Hi.feature,Vi=Hi.id,en=Hi.index,An=Hi.sourceLayerIndex,ra=J._featureFilter.needGeometry,$n=No(Ei,ra);if(J._featureFilter.filter(Yr,$n,U)){ra||($n.geometry=da(Ei));var Ba=void 0;if(st){var _a=J.getValueAndResolveTokens(\"text-field\",$n,U,Lr),Pa=Ul.factory(_a);cQe(Pa)&&(this.hasRTLText=!0),(!this.hasRTLText||so()===\"unavailable\"||this.hasRTLText&&_s.isParsed())&&(Ba=ni(Pa,J,$n))}var qo=void 0;if(mt){var Na=J.getValueAndResolveTokens(\"icon-image\",$n,U,Lr);Na instanceof Js?qo=Na:qo=Js.fromString(Na)}if(!(!Ba&&!qo)){var ja=this.sortFeaturesByKey?Xt.evaluate($n,{},U):void 0,us={id:Vi,text:Ba,icon:qo,index:en,sourceLayerIndex:An,geometry:$n.geometry,properties:Ei.properties,type:lQe[Ei.type],sortKey:ja};if(this.features.push(us),qo&&(ur[qo.name]=!0),Ba){var zo=fe.evaluate($n,{},U).join(\",\"),rl=ne.get(\"text-rotation-alignment\")===\"map\"&&ne.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(uv.vertical)>=0;for(var ou=0,il=Ba.sections;ou<il.length;ou+=1){var nl=il[ou];if(nl.image)ur[nl.image.name]=!0;else{var Ws=zt(Ba.toString()),Au=nl.fontStack||zo,Ou=nr[Au]=nr[Au]||{};this.calculateGlyphDependencies(nl.text,Ou,rl,this.allowVerticalPlacement,Ws)}}}}}}ne.get(\"symbol-placement\")===\"line\"&&(this.features=Di(this.features)),this.sortFeaturesByKey&&this.features.sort(function(nf,bf){return nf.sortKey-bf.sortKey})}},au.prototype.update=function(y,I,U){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(y,I,this.layers,U),this.icon.programConfigurations.updatePaintArrays(y,I,this.layers,U))},au.prototype.isEmpty=function(){return this.symbolInstances.length===0&&!this.hasRTLText},au.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},au.prototype.upload=function(y){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(y),this.iconCollisionBox.upload(y)),this.text.upload(y,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(y,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},au.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},au.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},au.prototype.addToLineVertexArray=function(y,I){var U=this.lineVertexArray.length;if(y.segment!==void 0){for(var J=y.dist(I[y.segment+1]),ne=y.dist(I[y.segment]),fe={},Fe=y.segment+1;Fe<I.length;Fe++)fe[Fe]={x:I[Fe].x,y:I[Fe].y,tileUnitDistanceFromAnchor:J},Fe<I.length-1&&(J+=I[Fe+1].dist(I[Fe]));for(var Qe=y.segment||0;Qe>=0;Qe--)fe[Qe]={x:I[Qe].x,y:I[Qe].y,tileUnitDistanceFromAnchor:ne},Qe>0&&(ne+=I[Qe-1].dist(I[Qe]));for(var st=0;st<I.length;st++){var mt=fe[st];this.lineVertexArray.emplaceBack(mt.x,mt.y,mt.tileUnitDistanceFromAnchor)}}return{lineStartIndex:U,lineLength:this.lineVertexArray.length-U}},au.prototype.addSymbols=function(y,I,U,J,ne,fe,Fe,Qe,st,mt,Xt,ur){for(var nr=y.indexArray,Lr=y.layoutVertexArray,Yr=y.segments.prepareSegment(4*I.length,Lr,nr,this.canOverlap?fe.sortKey:void 0),_i=this.glyphOffsetArray.length,si=Yr.vertexLength,Hi=this.allowVerticalPlacement&&Fe===uv.vertical?Math.PI/2:0,Ei=fe.text&&fe.text.sections,Vi=0;Vi<I.length;Vi++){var en=I[Vi],An=en.tl,ra=en.tr,$n=en.bl,Ba=en.br,_a=en.tex,Pa=en.pixelOffsetTL,qo=en.pixelOffsetBR,Na=en.minFontScaleX,ja=en.minFontScaleY,us=en.glyphOffset,zo=en.isSDF,rl=en.sectionIndex,ou=Yr.vertexLength,il=us[1];jC(Lr,Qe.x,Qe.y,An.x,il+An.y,_a.x,_a.y,U,zo,Pa.x,Pa.y,Na,ja),jC(Lr,Qe.x,Qe.y,ra.x,il+ra.y,_a.x+_a.w,_a.y,U,zo,qo.x,Pa.y,Na,ja),jC(Lr,Qe.x,Qe.y,$n.x,il+$n.y,_a.x,_a.y+_a.h,U,zo,Pa.x,qo.y,Na,ja),jC(Lr,Qe.x,Qe.y,Ba.x,il+Ba.y,_a.x+_a.w,_a.y+_a.h,U,zo,qo.x,qo.y,Na,ja),aq(y.dynamicLayoutVertexArray,Qe,Hi),nr.emplaceBack(ou,ou+1,ou+2),nr.emplaceBack(ou+1,ou+2,ou+3),Yr.vertexLength+=4,Yr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(us[0]),(Vi===I.length-1||rl!==I[Vi+1].sectionIndex)&&y.programConfigurations.populatePaintArrays(Lr.length,fe,fe.index,{},ur,Ei&&Ei[rl])}y.placedSymbolArray.emplaceBack(Qe.x,Qe.y,_i,this.glyphOffsetArray.length-_i,si,st,mt,Qe.segment,U?U[0]:0,U?U[1]:0,J[0],J[1],Fe,0,!1,0,Xt)},au.prototype._addCollisionDebugVertex=function(y,I,U,J,ne,fe){return I.emplaceBack(0,0),y.emplaceBack(U.x,U.y,J,ne,Math.round(fe.x),Math.round(fe.y))},au.prototype.addCollisionDebugVertices=function(y,I,U,J,ne,fe,Fe){var Qe=ne.segments.prepareSegment(4,ne.layoutVertexArray,ne.indexArray),st=Qe.vertexLength,mt=ne.layoutVertexArray,Xt=ne.collisionVertexArray,ur=Fe.anchorX,nr=Fe.anchorY;this._addCollisionDebugVertex(mt,Xt,fe,ur,nr,new u(y,I)),this._addCollisionDebugVertex(mt,Xt,fe,ur,nr,new u(U,I)),this._addCollisionDebugVertex(mt,Xt,fe,ur,nr,new u(U,J)),this._addCollisionDebugVertex(mt,Xt,fe,ur,nr,new u(y,J)),Qe.vertexLength+=4;var Lr=ne.indexArray;Lr.emplaceBack(st,st+1),Lr.emplaceBack(st+1,st+2),Lr.emplaceBack(st+2,st+3),Lr.emplaceBack(st+3,st),Qe.primitiveLength+=4},au.prototype.addDebugCollisionBoxes=function(y,I,U,J){for(var ne=y;ne<I;ne++){var fe=this.collisionBoxArray.get(ne),Fe=fe.x1,Qe=fe.y1,st=fe.x2,mt=fe.y2;this.addCollisionDebugVertices(Fe,Qe,st,mt,J?this.textCollisionBox:this.iconCollisionBox,fe.anchorPoint,U)}},au.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new AS(aa,at.members,Po),this.iconCollisionBox=new AS(aa,at.members,Po);for(var y=0;y<this.symbolInstances.length;y++){var I=this.symbolInstances.get(y);this.addDebugCollisionBoxes(I.textBoxStartIndex,I.textBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.verticalTextBoxStartIndex,I.verticalTextBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.iconBoxStartIndex,I.iconBoxEndIndex,I,!1),this.addDebugCollisionBoxes(I.verticalIconBoxStartIndex,I.verticalIconBoxEndIndex,I,!1)}},au.prototype._deserializeCollisionBoxesForSymbol=function(y,I,U,J,ne,fe,Fe,Qe,st){for(var mt={},Xt=I;Xt<U;Xt++){var ur=y.get(Xt);mt.textBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},mt.textFeatureIndex=ur.featureIndex;break}for(var nr=J;nr<ne;nr++){var Lr=y.get(nr);mt.verticalTextBox={x1:Lr.x1,y1:Lr.y1,x2:Lr.x2,y2:Lr.y2,anchorPointX:Lr.anchorPointX,anchorPointY:Lr.anchorPointY},mt.verticalTextFeatureIndex=Lr.featureIndex;break}for(var Yr=fe;Yr<Fe;Yr++){var _i=y.get(Yr);mt.iconBox={x1:_i.x1,y1:_i.y1,x2:_i.x2,y2:_i.y2,anchorPointX:_i.anchorPointX,anchorPointY:_i.anchorPointY},mt.iconFeatureIndex=_i.featureIndex;break}for(var si=Qe;si<st;si++){var Hi=y.get(si);mt.verticalIconBox={x1:Hi.x1,y1:Hi.y1,x2:Hi.x2,y2:Hi.y2,anchorPointX:Hi.anchorPointX,anchorPointY:Hi.anchorPointY},mt.verticalIconFeatureIndex=Hi.featureIndex;break}return mt},au.prototype.deserializeCollisionBoxes=function(y){this.collisionArrays=[];for(var I=0;I<this.symbolInstances.length;I++){var U=this.symbolInstances.get(I);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(y,U.textBoxStartIndex,U.textBoxEndIndex,U.verticalTextBoxStartIndex,U.verticalTextBoxEndIndex,U.iconBoxStartIndex,U.iconBoxEndIndex,U.verticalIconBoxStartIndex,U.verticalIconBoxEndIndex))}},au.prototype.hasTextData=function(){return this.text.segments.get().length>0},au.prototype.hasIconData=function(){return this.icon.segments.get().length>0},au.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},au.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},au.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},au.prototype.addIndicesForPlacedSymbol=function(y,I){for(var U=y.placedSymbolArray.get(I),J=U.vertexStartIndex+U.numGlyphs*4,ne=U.vertexStartIndex;ne<J;ne+=4)y.indexArray.emplaceBack(ne,ne+1,ne+2),y.indexArray.emplaceBack(ne+1,ne+2,ne+3)},au.prototype.getSortedSymbolIndexes=function(y){if(this.sortedAngle===y&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;for(var I=Math.sin(y),U=Math.cos(y),J=[],ne=[],fe=[],Fe=0;Fe<this.symbolInstances.length;++Fe){fe.push(Fe);var Qe=this.symbolInstances.get(Fe);J.push(Math.round(I*Qe.anchorX+U*Qe.anchorY)|0),ne.push(Qe.featureIndex)}return fe.sort(function(st,mt){return J[st]-J[mt]||ne[mt]-ne[st]}),fe},au.prototype.addToSortKeyRanges=function(y,I){var U=this.sortKeyRanges[this.sortKeyRanges.length-1];U&&U.sortKey===I?U.symbolInstanceEnd=y+1:this.sortKeyRanges.push({sortKey:I,symbolInstanceStart:y,symbolInstanceEnd:y+1})},au.prototype.sortFeatures=function(y){var I=this;if(this.sortFeaturesByY&&this.sortedAngle!==y&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(y),this.sortedAngle=y,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var U=0,J=this.symbolInstanceIndexes;U<J.length;U+=1){var ne=J[U],fe=this.symbolInstances.get(ne);this.featureSortOrder.push(fe.featureIndex),[fe.rightJustifiedTextSymbolIndex,fe.centerJustifiedTextSymbolIndex,fe.leftJustifiedTextSymbolIndex].forEach(function(Fe,Qe,st){Fe>=0&&st.indexOf(Fe)===Qe&&I.addIndicesForPlacedSymbol(I.text,Fe)}),fe.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,fe.verticalPlacedTextSymbolIndex),fe.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,fe.placedIconSymbolIndex),fe.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,fe.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Z(\"SymbolBucket\",au,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),au.MAX_GLYPHS=65535,au.addDynamicAttributes=aq;function fQe(m,y){return y.replace(/{([^{}]+)}/g,function(I,U){return U in m?String(m[U]):\"\"})}var hQe=new Oi({\"symbol-placement\":new At(on.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new At(on.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new At(on.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Er(on.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new At(on.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new At(on.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new At(on.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new At(on.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new At(on.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Er(on.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new At(on.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new At(on.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Er(on.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Er(on.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new At(on.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new At(on.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Er(on.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Er(on.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new At(on.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new At(on.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new At(on.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Er(on.layout_symbol[\"text-field\"]),\"text-font\":new Er(on.layout_symbol[\"text-font\"]),\"text-size\":new Er(on.layout_symbol[\"text-size\"]),\"text-max-width\":new Er(on.layout_symbol[\"text-max-width\"]),\"text-line-height\":new At(on.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Er(on.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Er(on.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Er(on.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new At(on.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Er(on.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new At(on.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new At(on.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Er(on.layout_symbol[\"text-rotate\"]),\"text-padding\":new At(on.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new At(on.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Er(on.layout_symbol[\"text-transform\"]),\"text-offset\":new Er(on.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new At(on.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new At(on.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new At(on.layout_symbol[\"text-optional\"])}),dQe=new Oi({\"icon-opacity\":new Er(on.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Er(on.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Er(on.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Er(on.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Er(on.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new At(on.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new At(on.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Er(on.paint_symbol[\"text-opacity\"]),\"text-color\":new Er(on.paint_symbol[\"text-color\"],{runtimeType:Tl,getOverride:function(m){return m.textColor},hasOverride:function(m){return!!m.textColor}}),\"text-halo-color\":new Er(on.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Er(on.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Er(on.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new At(on.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new At(on.paint_symbol[\"text-translate-anchor\"])}),oq={paint:dQe,layout:hQe},Yw=function(y){this.type=y.property.overrides?y.property.overrides.runtimeType:Ec,this.defaultValue=y};Yw.prototype.evaluate=function(y){if(y.formattedSection){var I=this.defaultValue.property.overrides;if(I&&I.hasOverride(y.formattedSection))return I.getOverride(y.formattedSection)}return y.feature&&y.featureState?this.defaultValue.evaluate(y.feature,y.featureState):this.defaultValue.property.specification.default},Yw.prototype.eachChild=function(y){if(!this.defaultValue.isConstant()){var I=this.defaultValue.value;y(I._styleExpression.expression)}},Yw.prototype.outputDefined=function(){return!1},Yw.prototype.serialize=function(){return null},Z(\"FormatSectionOverride\",Yw,{omit:[\"defaultValue\"]});var vQe=function(m){function y(I){m.call(this,I,oq)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.recalculate=function(U,J){if(m.prototype.recalculate.call(this,U,J),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){var ne=this.layout.get(\"text-writing-mode\");if(ne){for(var fe=[],Fe=0,Qe=ne;Fe<Qe.length;Fe+=1){var st=Qe[Fe];fe.indexOf(st)<0&&fe.push(st)}this.layout._values[\"text-writing-mode\"]=fe}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},y.prototype.getValueAndResolveTokens=function(U,J,ne,fe){var Fe=this.layout.get(U).evaluate(J,{},ne,fe),Qe=this._unevaluatedLayout._values[U];return!Qe.isDataDriven()&&!Da(Qe.value)&&Fe?fQe(J.properties,Fe):Fe},y.prototype.createBucket=function(U){return new au(U)},y.prototype.queryRadius=function(){return 0},y.prototype.queryIntersectsFeature=function(){return!1},y.prototype._setPaintOverrides=function(){for(var U=0,J=oq.paint.overridableProperties;U<J.length;U+=1){var ne=J[U];if(y.hasPaintOverride(this.layout,ne)){var fe=this.paint.get(ne),Fe=new Yw(fe),Qe=new Dc(Fe,fe.property.specification),st=null;fe.value.kind===\"constant\"||fe.value.kind===\"source\"?st=new Jc(\"source\",Qe):st=new yc(\"composite\",Qe,fe.value.zoomStops,fe.value._interpolationType),this.paint._values[ne]=new dl(fe.property,st,fe.parameters)}}},y.prototype._handleOverridablePaintPropertyUpdate=function(U,J,ne){return!this.layout||J.isDataDriven()||ne.isDataDriven()?!1:y.hasPaintOverride(this.layout,U)},y.hasPaintOverride=function(U,J){var ne=U.get(\"text-field\"),fe=oq.paint.properties[J],Fe=!1,Qe=function(Xt){for(var ur=0,nr=Xt;ur<nr.length;ur+=1){var Lr=nr[ur];if(fe.overrides&&fe.overrides.hasOverride(Lr)){Fe=!0;return}}};if(ne.value.kind===\"constant\"&&ne.value.value instanceof Ul)Qe(ne.value.value.sections);else if(ne.value.kind===\"source\"){var st=function(Xt){if(!Fe)if(Xt instanceof hs&&ws(Xt.value)===Al){var ur=Xt.value;Qe(ur.sections)}else Xt instanceof ec?Qe(Xt.sections):Xt.eachChild(st)},mt=ne.value;mt._styleExpression&&st(mt._styleExpression.expression)}return Fe},y}(cn),pQe=new Oi({\"background-color\":new At(on.paint_background[\"background-color\"]),\"background-pattern\":new wi(on.paint_background[\"background-pattern\"]),\"background-opacity\":new At(on.paint_background[\"background-opacity\"])}),gQe={paint:pQe},mQe=function(m){function y(I){m.call(this,I,gQe)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y}(cn),yQe=new Oi({\"raster-opacity\":new At(on.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new At(on.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new At(on.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new At(on.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new At(on.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new At(on.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new At(on.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new At(on.paint_raster[\"raster-fade-duration\"])}),_Qe={paint:yQe},xQe=function(m){function y(I){m.call(this,I,_Qe)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y}(cn);function bQe(m){var y=[],I=m.id;return I===void 0&&y.push({message:\"layers.\"+I+': missing required property \"id\"'}),m.render===void 0&&y.push({message:\"layers.\"+I+': missing required method \"render\"'}),m.renderingMode&&m.renderingMode!==\"2d\"&&m.renderingMode!==\"3d\"&&y.push({message:\"layers.\"+I+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),y}var wQe=function(m){function y(I){m.call(this,I,{}),this.implementation=I}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.is3D=function(){return this.implementation.renderingMode===\"3d\"},y.prototype.hasOffscreenPass=function(){return this.implementation.prerender!==void 0},y.prototype.recalculate=function(){},y.prototype.updateTransitions=function(){},y.prototype.hasTransition=function(){},y.prototype.serialize=function(){},y.prototype.onAdd=function(U){this.implementation.onAdd&&this.implementation.onAdd(U,U.painter.context.gl)},y.prototype.onRemove=function(U){this.implementation.onRemove&&this.implementation.onRemove(U,U.painter.context.gl)},y}(cn),TQe={circle:q9,heatmap:Lw,hillshade:fC,fill:$x,\"fill-extrusion\":fm,line:S,symbol:vQe,background:mQe,raster:xQe};function AQe(m){return m.type===\"custom\"?new wQe(m):new TQe[m.type](m)}var LQ=f.HTMLImageElement,PQ=f.HTMLCanvasElement,IQ=f.HTMLVideoElement,RQ=f.ImageData,WC=f.ImageBitmap,rb=function(y,I,U,J){this.context=y,this.format=U,this.texture=y.gl.createTexture(),this.update(I,J)};rb.prototype.update=function(y,I,U){var J=y.width,ne=y.height,fe=(!this.size||this.size[0]!==J||this.size[1]!==ne)&&!U,Fe=this,Qe=Fe.context,st=Qe.gl;if(this.useMipmap=!!(I&&I.useMipmap),st.bindTexture(st.TEXTURE_2D,this.texture),Qe.pixelStoreUnpackFlipY.set(!1),Qe.pixelStoreUnpack.set(1),Qe.pixelStoreUnpackPremultiplyAlpha.set(this.format===st.RGBA&&(!I||I.premultiply!==!1)),fe)this.size=[J,ne],y instanceof LQ||y instanceof PQ||y instanceof IQ||y instanceof RQ||WC&&y instanceof WC?st.texImage2D(st.TEXTURE_2D,0,this.format,this.format,st.UNSIGNED_BYTE,y):st.texImage2D(st.TEXTURE_2D,0,this.format,J,ne,0,this.format,st.UNSIGNED_BYTE,y.data);else{var mt=U||{x:0,y:0},Xt=mt.x,ur=mt.y;y instanceof LQ||y instanceof PQ||y instanceof IQ||y instanceof RQ||WC&&y instanceof WC?st.texSubImage2D(st.TEXTURE_2D,0,Xt,ur,st.RGBA,st.UNSIGNED_BYTE,y):st.texSubImage2D(st.TEXTURE_2D,0,Xt,ur,J,ne,st.RGBA,st.UNSIGNED_BYTE,y.data)}this.useMipmap&&this.isSizePowerOfTwo()&&st.generateMipmap(st.TEXTURE_2D)},rb.prototype.bind=function(y,I,U){var J=this,ne=J.context,fe=ne.gl;fe.bindTexture(fe.TEXTURE_2D,this.texture),U===fe.LINEAR_MIPMAP_NEAREST&&!this.isSizePowerOfTwo()&&(U=fe.LINEAR),y!==this.filter&&(fe.texParameteri(fe.TEXTURE_2D,fe.TEXTURE_MAG_FILTER,y),fe.texParameteri(fe.TEXTURE_2D,fe.TEXTURE_MIN_FILTER,U||y),this.filter=y),I!==this.wrap&&(fe.texParameteri(fe.TEXTURE_2D,fe.TEXTURE_WRAP_S,I),fe.texParameteri(fe.TEXTURE_2D,fe.TEXTURE_WRAP_T,I),this.wrap=I)},rb.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1===0},rb.prototype.destroy=function(){var y=this.context,I=y.gl;I.deleteTexture(this.texture),this.texture=null};var sq=function(y){var I=this;this._callback=y,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){I._triggered=!1,I._callback()})};sq.prototype.trigger=function(){var y=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){y._triggered=!1,y._callback()},0))},sq.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Kw=function(y,I,U){this.target=y,this.parent=I,this.mapId=U,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},q([\"receive\",\"process\"],this),this.invoker=new sq(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=ke()?y:f};Kw.prototype.send=function(y,I,U,J,ne){var fe=this;ne===void 0&&(ne=!1);var Fe=Math.round(Math.random()*1e18).toString(36).substring(0,10);U&&(this.callbacks[Fe]=U);var Qe=Te(this.globalScope)?void 0:[];return this.target.postMessage({id:Fe,type:y,hasCallback:!!U,targetMapId:J,mustQueue:ne,sourceMapId:this.mapId,data:Ue(I,Qe)},Qe),{cancel:function(){U&&delete fe.callbacks[Fe],fe.target.postMessage({id:Fe,type:\"<cancel>\",targetMapId:J,sourceMapId:fe.mapId})}}},Kw.prototype.receive=function(y){var I=y.data,U=I.id;if(U&&!(I.targetMapId&&this.mapId!==I.targetMapId))if(I.type===\"<cancel>\"){delete this.tasks[U];var J=this.cancelCallbacks[U];delete this.cancelCallbacks[U],J&&J()}else ke()||I.mustQueue?(this.tasks[U]=I,this.taskQueue.push(U),this.invoker.trigger()):this.processTask(U,I)},Kw.prototype.process=function(){if(this.taskQueue.length){var y=this.taskQueue.shift(),I=this.tasks[y];delete this.tasks[y],this.taskQueue.length&&this.invoker.trigger(),I&&this.processTask(y,I)}},Kw.prototype.processTask=function(y,I){var U=this;if(I.type===\"<response>\"){var J=this.callbacks[y];delete this.callbacks[y],J&&(I.error?J(We(I.error)):J(null,We(I.data)))}else{var ne=!1,fe=Te(this.globalScope)?void 0:[],Fe=I.hasCallback?function(ur,nr){ne=!0,delete 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jf=function(y,I){y&&(I?this.setSouthWest(y).setNorthEast(I):y.length===4?this.setSouthWest([y[0],y[1]]).setNorthEast([y[2],y[3]]):this.setSouthWest(y[0]).setNorthEast(y[1]))};jf.prototype.setNorthEast=function(y){return this._ne=y instanceof sc?new sc(y.lng,y.lat):sc.convert(y),this},jf.prototype.setSouthWest=function(y){return this._sw=y instanceof sc?new sc(y.lng,y.lat):sc.convert(y),this},jf.prototype.extend=function(y){var I=this._sw,U=this._ne,J,ne;if(y instanceof sc)J=y,ne=y;else if(y instanceof jf){if(J=y._sw,ne=y._ne,!J||!ne)return this}else{if(Array.isArray(y))if(y.length===4||y.every(Array.isArray)){var fe=y;return this.extend(jf.convert(fe))}else{var Fe=y;return this.extend(sc.convert(Fe))}return this}return!I&&!U?(this._sw=new sc(J.lng,J.lat),this._ne=new sc(ne.lng,ne.lat)):(I.lng=Math.min(J.lng,I.lng),I.lat=Math.min(J.lat,I.lat),U.lng=Math.max(ne.lng,U.lng),U.lat=Math.max(ne.lat,U.lat)),this},jf.prototype.getCenter=function(){return new sc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},jf.prototype.getSouthWest=function(){return this._sw},jf.prototype.getNorthEast=function(){return this._ne},jf.prototype.getNorthWest=function(){return new sc(this.getWest(),this.getNorth())},jf.prototype.getSouthEast=function(){return new sc(this.getEast(),this.getSouth())},jf.prototype.getWest=function(){return this._sw.lng},jf.prototype.getSouth=function(){return this._sw.lat},jf.prototype.getEast=function(){return this._ne.lng},jf.prototype.getNorth=function(){return this._ne.lat},jf.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},jf.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},jf.prototype.isEmpty=function(){return!(this._sw&&this._ne)},jf.prototype.contains=function(y){var I=sc.convert(y),U=I.lng,J=I.lat,ne=this._sw.lat<=J&&J<=this._ne.lat,fe=this._sw.lng<=U&&U<=this._ne.lng;return this._sw.lng>this._ne.lng&&(fe=this._sw.lng>=U&&U>=this._ne.lng),ne&&fe},jf.convert=function(y){return!y||y instanceof jf?y:new jf(y)};var zQ=63710088e-1,sc=function(y,I){if(isNaN(y)||isNaN(I))throw new Error(\"Invalid LngLat object: (\"+y+\", \"+I+\")\");if(this.lng=+y,this.lat=+I,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};sc.prototype.wrap=function(){return new sc(E(this.lng,-180,180),this.lat)},sc.prototype.toArray=function(){return[this.lng,this.lat]},sc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},sc.prototype.distanceTo=function(y){var I=Math.PI/180,U=this.lat*I,J=y.lat*I,ne=Math.sin(U)*Math.sin(J)+Math.cos(U)*Math.cos(J)*Math.cos((y.lng-this.lng)*I),fe=zQ*Math.acos(Math.min(ne,1));return fe},sc.prototype.toBounds=function(y){y===void 0&&(y=0);var I=40075017,U=360*y/I,J=U/Math.cos(Math.PI/180*this.lat);return new jf(new sc(this.lng-J,this.lat-U),new sc(this.lng+J,this.lat+U))},sc.convert=function(y){if(y instanceof sc)return y;if(Array.isArray(y)&&(y.length===2||y.length===3))return new sc(Number(y[0]),Number(y[1]));if(!Array.isArray(y)&&typeof y==\"object\"&&y!==null)return new sc(Number(\"lng\"in y?y.lng:y.lon),Number(y.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var FQ=2*Math.PI*zQ;function qQ(m){return FQ*Math.cos(m*Math.PI/180)}function OQ(m){return(180+m)/360}function BQ(m){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+m*Math.PI/360)))/360}function NQ(m,y){return m/qQ(y)}function MQe(m){return m*360-180}function lq(m){var y=180-m*360;return 360/Math.PI*Math.atan(Math.exp(y*Math.PI/180))-90}function EQe(m,y){return m*qQ(lq(y))}function kQe(m){return 1/Math.cos(m*Math.PI/180)}var ib=function(y,I,U){U===void 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y.overscaledZ===0||y.overscaledZ<this.overscaledZ&&y.canonical.x===this.canonical.x>>I&&y.canonical.y===this.canonical.y>>I},Wf.prototype.children=function(y){if(this.overscaledZ>=y)return[new Wf(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var I=this.canonical.z+1,U=this.canonical.x*2,J=this.canonical.y*2;return[new Wf(I,this.wrap,I,U,J),new Wf(I,this.wrap,I,U+1,J),new Wf(I,this.wrap,I,U,J+1),new Wf(I,this.wrap,I,U+1,J+1)]},Wf.prototype.isLessThan=function(y){return this.wrap<y.wrap?!0:this.wrap>y.wrap?!1:this.overscaledZ<y.overscaledZ?!0:this.overscaledZ>y.overscaledZ?!1:this.canonical.x<y.canonical.x?!0:this.canonical.x>y.canonical.x?!1:this.canonical.y<y.canonical.y},Wf.prototype.wrapped=function(){return new Wf(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Wf.prototype.unwrapTo=function(y){return new Wf(this.overscaledZ,y,this.canonical.z,this.canonical.x,this.canonical.y)},Wf.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Wf.prototype.toUnwrapped=function(){return new UQ(this.wrap,this.canonical)},Wf.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Wf.prototype.getTilePoint=function(y){return this.canonical.getTilePoint(new ib(y.x-this.wrap,y.y))};function SS(m,y,I,U,J){m*=2,m<0&&(m=m*-1-1);var ne=1<<I;return(ne*ne*m+ne*J+U).toString(36)+I.toString(36)+y.toString(36)}function CQe(m,y,I){for(var U=\"\",J,ne=m;ne>0;ne--)J=1<<ne-1,U+=(y&J?1:0)+(I&J?2:0);return U}Z(\"CanonicalTileID\",nb),Z(\"OverscaledTileID\",Wf,{omit:[\"posMatrix\"]});var dy=function(y,I,U){if(this.uid=y,I.height!==I.width)throw new RangeError(\"DEM tiles must be square\");if(U&&U!==\"mapbox\"&&U!==\"terrarium\")return re('\"'+U+'\" is not a valid encoding type. 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this.encoding===\"terrarium\"?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},dy.prototype._idx=function(y,I){if(y<-1||y>=this.dim+1||I<-1||I>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(I+1)*this.stride+(y+1)},dy.prototype._unpackMapbox=function(y,I,U){return(y*256*256+I*256+U)/10-1e4},dy.prototype._unpackTerrarium=function(y,I,U){return y*256+I+U/256-32768},dy.prototype.getPixels=function(){return new lh({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},dy.prototype.backfillBorder=function(y,I,U){if(this.dim!==y.dim)throw new Error(\"dem dimension mismatch\");var J=I*this.dim,ne=I*this.dim+this.dim,fe=U*this.dim,Fe=U*this.dim+this.dim;switch(I){case-1:J=ne-1;break;case 1:ne=J+1;break}switch(U){case-1:fe=Fe-1;break;case 1:Fe=fe+1;break}for(var Qe=-I*this.dim,st=-U*this.dim,mt=fe;mt<Fe;mt++)for(var Xt=J;Xt<ne;Xt++)this.data[this._idx(Xt,mt)]=y.data[this._idx(Xt+Qe,mt+st)]},Z(\"DEMData\",dy);function LQe(m,y){var I={};if(!y)return I;for(var U=function(){var fe=ne[J],Fe=fe.layerIds.map(function(Xt){return y.getLayer(Xt)}).filter(Boolean);if(Fe.length!==0){fe.layers=Fe,fe.stateDependentLayerIds&&(fe.stateDependentLayers=fe.stateDependentLayerIds.map(function(Xt){return Fe.filter(function(ur){return ur.id===Xt})[0]}));for(var Qe=0,st=Fe;Qe<st.length;Qe+=1){var mt=st[Qe];I[mt.id]=fe}}},J=0,ne=m;J<ne.length;J+=1)U();return I}var ZC=function(y){this._stringToNumber={},this._numberToString=[];for(var I=0;I<y.length;I++){var U=y[I];this._stringToNumber[U]=I,this._numberToString[I]=U}};ZC.prototype.encode=function(y){return this._stringToNumber[y]},ZC.prototype.decode=function(y){return this._numberToString[y]};var XC=function(y,I,U,J,ne){this.type=\"Feature\",this._vectorTileFeature=y,y._z=I,y._x=U,y._y=J,this.properties=y.properties,this.id=ne},uq={geometry:{configurable:!0}};uq.geometry.get=function(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},uq.geometry.set=function(m){this._geometry=m},XC.prototype.toJSON=function(){var y={geometry:this.geometry};for(var I in this)I===\"_geometry\"||I===\"_vectorTileFeature\"||(y[I]=this[I]);return y},Object.defineProperties(XC.prototype,uq);var Jw=function(){this.state={},this.stateChanges={},this.deletedStates={}};Jw.prototype.updateState=function(y,I,U){var J=String(I);if(this.stateChanges[y]=this.stateChanges[y]||{},this.stateChanges[y][J]=this.stateChanges[y][J]||{},_(this.stateChanges[y][J],U),this.deletedStates[y]===null){this.deletedStates[y]={};for(var ne in this.state[y])ne!==J&&(this.deletedStates[y][ne]=null)}else{var fe=this.deletedStates[y]&&this.deletedStates[y][J]===null;if(fe){this.deletedStates[y][J]={};for(var Fe in this.state[y][J])U[Fe]||(this.deletedStates[y][J][Fe]=null)}else for(var Qe in U){var st=this.deletedStates[y]&&this.deletedStates[y][J]&&this.deletedStates[y][J][Qe]===null;st&&delete this.deletedStates[y][J][Qe]}}},Jw.prototype.removeFeatureState=function(y,I,U){var J=this.deletedStates[y]===null;if(!J){var ne=String(I);if(this.deletedStates[y]=this.deletedStates[y]||{},U&&I!==void 0)this.deletedStates[y][ne]!==null&&(this.deletedStates[y][ne]=this.deletedStates[y][ne]||{},this.deletedStates[y][ne][U]=null);else if(I!==void 0){var fe=this.stateChanges[y]&&this.stateChanges[y][ne];if(fe){this.deletedStates[y][ne]={};for(U in this.stateChanges[y][ne])this.deletedStates[y][ne][U]=null}else this.deletedStates[y][ne]=null}else this.deletedStates[y]=null}},Jw.prototype.getState=function(y,I){var U=String(I),J=this.state[y]||{},ne=this.stateChanges[y]||{},fe=_({},J[U],ne[U]);if(this.deletedStates[y]===null)return{};if(this.deletedStates[y]){var Fe=this.deletedStates[y][I];if(Fe===null)return{};for(var Qe in Fe)delete fe[Qe]}return fe},Jw.prototype.initializeTileState=function(y,I){y.setFeatureState(this.state,I)},Jw.prototype.coalesceChanges=function(y,I){var U={};for(var J in this.stateChanges){this.state[J]=this.state[J]||{};var ne={};for(var fe in this.stateChanges[J])this.state[J][fe]||(this.state[J][fe]={}),_(this.state[J][fe],this.stateChanges[J][fe]),ne[fe]=this.state[J][fe];U[J]=ne}for(var Fe in this.deletedStates){this.state[Fe]=this.state[Fe]||{};var Qe={};if(this.deletedStates[Fe]===null)for(var st in this.state[Fe])Qe[st]={},this.state[Fe][st]={};else for(var mt in this.deletedStates[Fe]){var Xt=this.deletedStates[Fe][mt]===null;if(Xt)this.state[Fe][mt]={};else for(var ur=0,nr=Object.keys(this.deletedStates[Fe][mt]);ur<nr.length;ur+=1){var Lr=nr[ur];delete this.state[Fe][mt][Lr]}Qe[mt]=this.state[Fe][mt]}U[Fe]=U[Fe]||{},_(U[Fe],Qe)}if(this.stateChanges={},this.deletedStates={},Object.keys(U).length!==0)for(var Yr in y){var _i=y[Yr];_i.setFeatureState(U,I)}};var vy=function(y,I){this.tileID=y,this.x=y.canonical.x,this.y=y.canonical.y,this.z=y.canonical.z,this.grid=new cu(rn,16,0),this.grid3D=new cu(rn,16,0),this.featureIndexArray=new ef,this.promoteId=I};vy.prototype.insert=function(y,I,U,J,ne,fe){var Fe=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(U,J,ne);for(var Qe=fe?this.grid3D:this.grid,st=0;st<I.length;st++){for(var mt=I[st],Xt=[1/0,1/0,-1/0,-1/0],ur=0;ur<mt.length;ur++){var nr=mt[ur];Xt[0]=Math.min(Xt[0],nr.x),Xt[1]=Math.min(Xt[1],nr.y),Xt[2]=Math.max(Xt[2],nr.x),Xt[3]=Math.max(Xt[3],nr.y)}Xt[0]<rn&&Xt[1]<rn&&Xt[2]>=0&&Xt[3]>=0&&Qe.insert(Fe,Xt[0],Xt[1],Xt[2],Xt[3])}},vy.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new pg.VectorTile(new La(this.rawTileData)).layers,this.sourceLayerCoder=new ZC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},vy.prototype.query=function(y,I,U,J){var ne=this;this.loadVTLayers();for(var fe=y.params||{},Fe=rn/y.tileSize/y.scale,Qe=be(fe.filter),st=y.queryGeometry,mt=y.queryPadding*Fe,Xt=HQ(st),ur=this.grid.query(Xt.minX-mt,Xt.minY-mt,Xt.maxX+mt,Xt.maxY+mt),nr=HQ(y.cameraQueryGeometry),Lr=this.grid3D.query(nr.minX-mt,nr.minY-mt,nr.maxX+mt,nr.maxY+mt,function(An,ra,$n,Ba){return pp(y.cameraQueryGeometry,An-mt,ra-mt,$n+mt,Ba+mt)}),Yr=0,_i=Lr;Yr<_i.length;Yr+=1){var si=_i[Yr];ur.push(si)}ur.sort(PQe);for(var Hi={},Ei,Vi=function(An){var ra=ur[An];if(ra!==Ei){Ei=ra;var $n=ne.featureIndexArray.get(ra),Ba=null;ne.loadMatchingFeature(Hi,$n.bucketIndex,$n.sourceLayerIndex,$n.featureIndex,Qe,fe.layers,fe.availableImages,I,U,J,function(_a,Pa,qo){return Ba||(Ba=da(_a)),Pa.queryIntersectsFeature(st,_a,qo,Ba,ne.z,y.transform,Fe,y.pixelPosMatrix)})}},en=0;en<ur.length;en++)Vi(en);return Hi},vy.prototype.loadMatchingFeature=function(y,I,U,J,ne,fe,Fe,Qe,st,mt,Xt){var ur=this.bucketLayerIDs[I];if(!(fe&&!N(fe,ur))){var nr=this.sourceLayerCoder.decode(U),Lr=this.vtLayers[nr],Yr=Lr.feature(J);if(ne.needGeometry){var _i=No(Yr,!0);if(!ne.filter(new pn(this.tileID.overscaledZ),_i,this.tileID.canonical))return}else if(!ne.filter(new pn(this.tileID.overscaledZ),Yr))return;for(var si=this.getId(Yr,nr),Hi=0;Hi<ur.length;Hi++){var Ei=ur[Hi];if(!(fe&&fe.indexOf(Ei)<0)){var Vi=Qe[Ei];if(Vi){var en={};si!==void 0&&mt&&(en=mt.getState(Vi.sourceLayer||\"_geojsonTileLayer\",si));var An=_({},st[Ei]);An.paint=VQ(An.paint,Vi.paint,Yr,en,Fe),An.layout=VQ(An.layout,Vi.layout,Yr,en,Fe);var ra=!Xt||Xt(Yr,Vi,en);if(ra){var $n=new XC(Yr,this.z,this.x,this.y,si);$n.layer=An;var Ba=y[Ei];Ba===void 0&&(Ba=y[Ei]=[]),Ba.push({featureIndex:J,feature:$n,intersectionZ:ra})}}}}}},vy.prototype.lookupSymbolFeatures=function(y,I,U,J,ne,fe,Fe,Qe){var st={};this.loadVTLayers();for(var mt=be(ne),Xt=0,ur=y;Xt<ur.length;Xt+=1){var nr=ur[Xt];this.loadMatchingFeature(st,U,J,nr,mt,fe,Fe,Qe,I)}return st},vy.prototype.hasLayer=function(y){for(var I=0,U=this.bucketLayerIDs;I<U.length;I+=1)for(var J=U[I],ne=0,fe=J;ne<fe.length;ne+=1){var Fe=fe[ne];if(y===Fe)return!0}return!1},vy.prototype.getId=function(y,I){var U=y.id;if(this.promoteId){var J=typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[I];U=y.properties[J],typeof U==\"boolean\"&&(U=Number(U))}return U},Z(\"FeatureIndex\",vy,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});function VQ(m,y,I,U,J){return H(m,function(ne,fe){var Fe=y instanceof xc?y.get(fe):null;return Fe&&Fe.evaluate?Fe.evaluate(I,U,J):Fe})}function HQ(m){for(var y=1/0,I=1/0,U=-1/0,J=-1/0,ne=0,fe=m;ne<fe.length;ne+=1){var Fe=fe[ne];y=Math.min(y,Fe.x),I=Math.min(I,Fe.y),U=Math.max(U,Fe.x),J=Math.max(J,Fe.y)}return{minX:y,minY:I,maxX:U,maxY:J}}function PQe(m,y){return y-m}var IQe=3e4,Fh=function(y,I){this.tileID=y,this.uid=p(),this.uses=0,this.tileSize=I,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Fh.prototype.registerFadeDuration=function(y){var I=y+this.timeAdded;I<nt.now()||this.fadeEndTime&&I<this.fadeEndTime||(this.fadeEndTime=I)},Fh.prototype.wasRequested=function(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"},Fh.prototype.loadVectorData=function(y,I,U){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",!y){this.collisionBoxArray=new xs;return}y.featureIndex&&(this.latestFeatureIndex=y.featureIndex,y.rawTileData?(this.latestRawTileData=y.rawTileData,this.latestFeatureIndex.rawTileData=y.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=y.collisionBoxArray,this.buckets=LQe(y.buckets,I.style),this.hasSymbolBuckets=!1;for(var J in this.buckets){var ne=this.buckets[J];if(ne instanceof au)if(this.hasSymbolBuckets=!0,U)ne.justReloaded=!0;else break}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var fe in this.buckets){var Fe=this.buckets[fe];if(Fe instanceof au&&Fe.hasRTLText){this.hasRTLText=!0,Ns();break}}this.queryPadding=0;for(var Qe in this.buckets){var st=this.buckets[Qe];this.queryPadding=Math.max(this.queryPadding,I.style.getLayer(Qe).queryRadius(st))}y.imageAtlas&&(this.imageAtlas=y.imageAtlas),y.glyphAtlasImage&&(this.glyphAtlasImage=y.glyphAtlasImage)},Fh.prototype.unloadVectorData=function(){for(var y in this.buckets)this.buckets[y].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Fh.prototype.getBucket=function(y){return this.buckets[y.id]},Fh.prototype.upload=function(y){for(var I in this.buckets){var U=this.buckets[I];U.uploadPending()&&U.upload(y)}var J=y.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new rb(y,this.imageAtlas.image,J.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new rb(y,this.glyphAtlasImage,J.ALPHA),this.glyphAtlasImage=null)},Fh.prototype.prepare=function(y){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(y,this.imageAtlasTexture)},Fh.prototype.queryRenderedFeatures=function(y,I,U,J,ne,fe,Fe,Qe,st,mt){return!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData?{}:this.latestFeatureIndex.query({queryGeometry:J,cameraQueryGeometry:ne,scale:fe,tileSize:this.tileSize,pixelPosMatrix:mt,transform:Qe,params:Fe,queryPadding:this.queryPadding*st},y,I,U)},Fh.prototype.querySourceFeatures=function(y,I){var U=this.latestFeatureIndex;if(!(!U||!U.rawTileData)){var J=U.loadVTLayers(),ne=I?I.sourceLayer:\"\",fe=J._geojsonTileLayer||J[ne];if(fe)for(var Fe=be(I&&I.filter),Qe=this.tileID.canonical,st=Qe.z,mt=Qe.x,Xt=Qe.y,ur={z:st,x:mt,y:Xt},nr=0;nr<fe.length;nr++){var Lr=fe.feature(nr);if(Fe.needGeometry){var Yr=No(Lr,!0);if(!Fe.filter(new pn(this.tileID.overscaledZ),Yr,this.tileID.canonical))continue}else if(!Fe.filter(new pn(this.tileID.overscaledZ),Lr))continue;var _i=U.getId(Lr,ne),si=new XC(Lr,st,mt,Xt,_i);si.tile=ur,y.push(si)}}},Fh.prototype.hasData=function(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"},Fh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Fh.prototype.setExpiryData=function(y){var I=this.expirationTime;if(y.cacheControl){var U=ge(y.cacheControl);U[\"max-age\"]&&(this.expirationTime=Date.now()+U[\"max-age\"]*1e3)}else y.expires&&(this.expirationTime=new Date(y.expires).getTime());if(this.expirationTime){var J=Date.now(),ne=!1;if(this.expirationTime>J)ne=!1;else if(!I)ne=!0;else if(this.expirationTime<I)ne=!0;else{var fe=this.expirationTime-I;fe?this.expirationTime=J+Math.max(fe,IQe):ne=!0}ne?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Fh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)},Fh.prototype.setFeatureState=function(y,I){if(!(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(y).length===0)){var U=this.latestFeatureIndex.loadVTLayers();for(var J in this.buckets)if(I.style.hasLayer(J)){var ne=this.buckets[J],fe=ne.layers[0].sourceLayer||\"_geojsonTileLayer\",Fe=U[fe],Qe=y[fe];if(!(!Fe||!Qe||Object.keys(Qe).length===0)){ne.update(Qe,Fe,this.imageAtlas&&this.imageAtlas.patternPositions||{});var st=I&&I.style&&I.style.getLayer(J);st&&(this.queryPadding=Math.max(this.queryPadding,st.queryRadius(ne)))}}}},Fh.prototype.holdingForFade=function(){return this.symbolFadeHoldUntil!==void 0},Fh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<nt.now()},Fh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Fh.prototype.setHoldDuration=function(y){this.symbolFadeHoldUntil=nt.now()+y},Fh.prototype.setDependencies=function(y,I){for(var U={},J=0,ne=I;J<ne.length;J+=1){var fe=ne[J];U[fe]=!0}this.dependencies[y]=U},Fh.prototype.hasDependency=function(y,I){for(var U=0,J=y;U<J.length;U+=1){var ne=J[U],fe=this.dependencies[ne];if(fe)for(var Fe=0,Qe=I;Fe<Qe.length;Fe+=1){var st=Qe[Fe];if(fe[st])return!0}}return!1};var RQe=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],z1=f.performance,GQ=function(y){this._marks={start:[y.url,\"start\"].join(\"#\"),end:[y.url,\"end\"].join(\"#\"),measure:y.url.toString()},z1.mark(this._marks.start)};GQ.prototype.finish=function(){z1.mark(this._marks.end);var y=z1.getEntriesByName(this._marks.measure);return y.length===0&&(z1.measure(this._marks.measure,this._marks.start,this._marks.end),y=z1.getEntriesByName(this._marks.measure),z1.clearMarks(this._marks.start),z1.clearMarks(this._marks.end),z1.clearMeasures(this._marks.measure)),y},i.Actor=Kw,i.AlphaImage=Pv,i.CanonicalTileID=nb,i.CollisionBoxArray=xs,i.Color=ss,i.DEMData=dy,i.DataConstantProperty=At,i.DictionaryCoder=ZC,i.EXTENT=rn,i.ErrorEvent=oa,i.EvaluationParameters=pn,i.Event=jo,i.Evented=Sn,i.FeatureIndex=vy,i.FillBucket=gp,i.FillExtrusionBucket=Hp,i.ImageAtlas=gg,i.ImagePosition=If,i.LineBucket=Gf,i.LngLat=sc,i.LngLatBounds=jf,i.MercatorCoordinate=ib,i.ONE_EM=Zi,i.OverscaledTileID=Wf,i.Point=u,i.Point$1=u,i.Properties=Oi,i.Protobuf=La,i.RGBAImage=lh,i.RequestManager=Ke,i.RequestPerformance=GQ,i.ResourceType=zn,i.SegmentVector=ns,i.SourceFeatureState=Jw,i.StructArrayLayout1ui2=Jo,i.StructArrayLayout2f1f2i16=Xn,i.StructArrayLayout2i4=ji,i.StructArrayLayout3ui6=ma,i.StructArrayLayout4i8=Ln,i.SymbolBucket=au,i.Texture=rb,i.Tile=Fh,i.Transitionable=Fo,i.Uniform1f=Pt,i.Uniform1i=vt,i.Uniform2f=Wt,i.Uniform3f=rr,i.Uniform4f=dr,i.UniformColor=pr,i.UniformMatrix4f=Ar,i.UnwrappedTileID=UQ,i.ValidationError=fa,i.WritingMode=uv,i.ZoomHistory=wt,i.add=Lv,i.addDynamicAttributes=aq,i.asyncAll=k,i.bezier=x,i.bindAll=q,i.browser=nt,i.cacheEntryPossiblyAdded=bi,i.clamp=g,i.clearTileCache=Wi,i.clipLine=AQ,i.clone=T1,i.clone$1=G,i.clone$2=Mw,i.collisionCircleLayout=Tt,i.config=ct,i.create=w1,i.create$1=Rh,i.create$2=hg,i.createCommonjsModule=a,i.createExpression=eo,i.createLayout=Dn,i.createStyleLayer=AQe,i.cross=P9,i.deepEqual=h,i.dot=L9,i.dot$1=F9,i.ease=b,i.emitValidationErrors=Zu,i.endsWith=V,i.enforceCacheSizeLimit=nn,i.evaluateSizeForFeature=mQ,i.evaluateSizeForZoom=yQ,i.evaluateVariableOffset=EQ,i.evented=ya,i.extend=_,i.featureFilter=be,i.filterObject=X,i.fromRotation=rm,i.getAnchorAlignment=wS,i.getAnchorJustification=nq,i.getArrayBuffer=Zr,i.getImage=jn,i.getJSON=Fr,i.getRTLTextPluginStatus=so,i.getReferrer=It,i.getVideo=la,i.identity=oy,i.invert=im,i.isChar=tt,i.isMapboxURL=xt,i.keysDifference=L,i.makeRequest=yr,i.mapObject=H,i.mercatorXfromLng=OQ,i.mercatorYfromLat=BQ,i.mercatorZfromAltitude=NQ,i.mul=Bx,i.multiply=nm,i.mvt=pg,i.nextPowerOfTwo=T,i.normalize=Nx,i.number=Qs,i.offscreenCanvasSupported=$i,i.ortho=Yl,i.parseGlyphPBF=p0,i.pbf=La,i.performSymbolLayout=nQe,i.perspective=A1,i.pick=C,i.plugin=_s,i.polygonIntersectsPolygon=fo,i.postMapLoadEvent=Ve,i.postTurnstileEvent=Ne,i.potpack=Qv,i.refProperties=RQe,i.register=Z,i.registerForPluginStateChange=wa,i.renderColorRamp=Hx,i.rotate=ay,i.rotateX=bd,i.rotateZ=sy,i.scale=kl,i.scale$1=z9,i.scale$2=Ew,i.setCacheLimits=Ni,i.setRTLTextPlugin=io,i.sphericalToCartesian=Me,i.sqrLen=rS,i.styleSpec=on,i.sub=R9,i.symbolSize=Y$e,i.transformMat3=I9,i.transformMat4=ly,i.translate=Fu,i.triggerPluginCompletionEvent=Nn,i.uniqueId=p,i.validateCustomStyleLayer=bQe,i.validateLight=po,i.validateStyle=yo,i.values=A,i.vectorTile=pg,i.version=o,i.warnOnce=re,i.webpSupported=qt,i.window=f,i.wrap=E}),n([\"./shared\"],function(i){\"use strict\";function a(It){var ft=typeof It;if(ft===\"number\"||ft===\"boolean\"||ft===\"string\"||It===void 0||It===null)return JSON.stringify(It);if(Array.isArray(It)){for(var jt=\"[\",Zt=0,yr=It;Zt<yr.length;Zt+=1){var Fr=yr[Zt];jt+=a(Fr)+\",\"}return jt+\"]\"}for(var Zr=Object.keys(It).sort(),Vr=\"{\",gi=0;gi<Zr.length;gi++)Vr+=JSON.stringify(Zr[gi])+\":\"+a(It[Zr[gi]])+\",\";return Vr+\"}\"}function o(It){for(var ft=\"\",jt=0,Zt=i.refProperties;jt<Zt.length;jt+=1){var yr=Zt[jt];ft+=\"/\"+a(It[yr])}return ft}function s(It,ft){for(var jt={},Zt=0;Zt<It.length;Zt++){var yr=ft&&ft[It[Zt].id]||o(It[Zt]);ft&&(ft[It[Zt].id]=yr);var Fr=jt[yr];Fr||(Fr=jt[yr]=[]),Fr.push(It[Zt])}var Zr=[];for(var Vr in jt)Zr.push(jt[Vr]);return Zr}var l=function(ft){this.keyCache={},ft&&this.replace(ft)};l.prototype.replace=function(ft){this._layerConfigs={},this._layers={},this.update(ft,[])},l.prototype.update=function(ft,jt){for(var Zt=this,yr=0,Fr=ft;yr<Fr.length;yr+=1){var Zr=Fr[yr];this._layerConfigs[Zr.id]=Zr;var Vr=this._layers[Zr.id]=i.createStyleLayer(Zr);Vr._featureFilter=i.featureFilter(Vr.filter),this.keyCache[Zr.id]&&delete this.keyCache[Zr.id]}for(var gi=0,Si=jt;gi<Si.length;gi+=1){var Mi=Si[gi];delete this.keyCache[Mi],delete this._layerConfigs[Mi],delete this._layers[Mi]}this.familiesBySource={};for(var Pi=s(i.values(this._layerConfigs),this.keyCache),Gi=0,Ki=Pi;Gi<Ki.length;Gi+=1){var ka=Ki[Gi],jn=ka.map(function(Sn){return Zt._layers[Sn.id]}),la=jn[0];if(la.visibility!==\"none\"){var Fa=la.source||\"\",Ra=this.familiesBySource[Fa];Ra||(Ra=this.familiesBySource[Fa]={});var jo=la.sourceLayer||\"_geojsonTileLayer\",oa=Ra[jo];oa||(oa=Ra[jo]=[]),oa.push(jn)}}};var u=1,c=function(ft){var jt={},Zt=[];for(var yr in ft){var Fr=ft[yr],Zr=jt[yr]={};for(var Vr in Fr){var gi=Fr[+Vr];if(!(!gi||gi.bitmap.width===0||gi.bitmap.height===0)){var Si={x:0,y:0,w:gi.bitmap.width+2*u,h:gi.bitmap.height+2*u};Zt.push(Si),Zr[Vr]={rect:Si,metrics:gi.metrics}}}}var Mi=i.potpack(Zt),Pi=Mi.w,Gi=Mi.h,Ki=new i.AlphaImage({width:Pi||1,height:Gi||1});for(var ka in ft){var jn=ft[ka];for(var la in jn){var Fa=jn[+la];if(!(!Fa||Fa.bitmap.width===0||Fa.bitmap.height===0)){var Ra=jt[ka][la].rect;i.AlphaImage.copy(Fa.bitmap,Ki,{x:0,y:0},{x:Ra.x+u,y:Ra.y+u},Fa.bitmap)}}}this.image=Ki,this.positions=jt};i.register(\"GlyphAtlas\",c);var f=function(ft){this.tileID=new i.OverscaledTileID(ft.tileID.overscaledZ,ft.tileID.wrap,ft.tileID.canonical.z,ft.tileID.canonical.x,ft.tileID.canonical.y),this.uid=ft.uid,this.zoom=ft.zoom,this.pixelRatio=ft.pixelRatio,this.tileSize=ft.tileSize,this.source=ft.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=ft.showCollisionBoxes,this.collectResourceTiming=!!ft.collectResourceTiming,this.returnDependencies=!!ft.returnDependencies,this.promoteId=ft.promoteId};f.prototype.parse=function(ft,jt,Zt,yr,Fr){var Zr=this;this.status=\"parsing\",this.data=ft,this.collisionBoxArray=new i.CollisionBoxArray;var Vr=new i.DictionaryCoder(Object.keys(ft.layers).sort()),gi=new i.FeatureIndex(this.tileID,this.promoteId);gi.bucketLayerIDs=[];var Si={},Mi={featureIndex:gi,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:Zt},Pi=jt.familiesBySource[this.source];for(var Gi in Pi){var Ki=ft.layers[Gi];if(Ki){Ki.version===1&&i.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+Gi+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var ka=Vr.encode(Gi),jn=[],la=0;la<Ki.length;la++){var Fa=Ki.feature(la),Ra=gi.getId(Fa,Gi);jn.push({feature:Fa,id:Ra,index:la,sourceLayerIndex:ka})}for(var jo=0,oa=Pi[Gi];jo<oa.length;jo+=1){var Sn=oa[jo],Ha=Sn[0];if(!(Ha.minzoom&&this.zoom<Math.floor(Ha.minzoom))&&!(Ha.maxzoom&&this.zoom>=Ha.maxzoom)&&Ha.visibility!==\"none\"){h(Sn,this.zoom,Zt);var oo=Si[Ha.id]=Ha.createBucket({index:gi.bucketLayerIDs.length,layers:Sn,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:ka,sourceID:this.source});oo.populate(jn,Mi,this.tileID.canonical),gi.bucketLayerIDs.push(Sn.map(function(hi){return hi.id}))}}}}var xn,_t,br,Hr,ti=i.mapObject(Mi.glyphDependencies,function(hi){return Object.keys(hi).map(Number)});Object.keys(ti).length?yr.send(\"getGlyphs\",{uid:this.uid,stacks:ti},function(hi,Ji){xn||(xn=hi,_t=Ji,an.call(Zr))}):_t={};var zi=Object.keys(Mi.iconDependencies);zi.length?yr.send(\"getImages\",{icons:zi,source:this.source,tileID:this.tileID,type:\"icons\"},function(hi,Ji){xn||(xn=hi,br=Ji,an.call(Zr))}):br={};var Yi=Object.keys(Mi.patternDependencies);Yi.length?yr.send(\"getImages\",{icons:Yi,source:this.source,tileID:this.tileID,type:\"patterns\"},function(hi,Ji){xn||(xn=hi,Hr=Ji,an.call(Zr))}):Hr={},an.call(this);function an(){if(xn)return Fr(xn);if(_t&&br&&Hr){var hi=new c(_t),Ji=new i.ImageAtlas(br,Hr);for(var ua in Si){var Fn=Si[ua];Fn instanceof i.SymbolBucket?(h(Fn.layers,this.zoom,Zt),i.performSymbolLayout(Fn,_t,hi.positions,br,Ji.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):Fn.hasPattern&&(Fn instanceof i.LineBucket||Fn instanceof i.FillBucket||Fn instanceof i.FillExtrusionBucket)&&(h(Fn.layers,this.zoom,Zt),Fn.addFeatures(Mi,this.tileID.canonical,Ji.patternPositions))}this.status=\"done\",Fr(null,{buckets:i.values(Si).filter(function(Sa){return!Sa.isEmpty()}),featureIndex:gi,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:hi.image,imageAtlas:Ji,glyphMap:this.returnDependencies?_t:null,iconMap:this.returnDependencies?br:null,glyphPositions:this.returnDependencies?hi.positions:null})}}};function h(It,ft,jt){for(var Zt=new i.EvaluationParameters(ft),yr=0,Fr=It;yr<Fr.length;yr+=1){var Zr=Fr[yr];Zr.recalculate(Zt,jt)}}function d(It,ft){var jt=i.getArrayBuffer(It.request,function(Zt,yr,Fr,Zr){Zt?ft(Zt):yr&&ft(null,{vectorTile:new i.vectorTile.VectorTile(new i.pbf(yr)),rawData:yr,cacheControl:Fr,expires:Zr})});return function(){jt.cancel(),ft()}}var v=function(ft,jt,Zt,yr){this.actor=ft,this.layerIndex=jt,this.availableImages=Zt,this.loadVectorData=yr||d,this.loading={},this.loaded={}};v.prototype.loadTile=function(ft,jt){var Zt=this,yr=ft.uid;this.loading||(this.loading={});var Fr=ft&&ft.request&&ft.request.collectResourceTiming?new i.RequestPerformance(ft.request):!1,Zr=this.loading[yr]=new f(ft);Zr.abort=this.loadVectorData(ft,function(Vr,gi){if(delete Zt.loading[yr],Vr||!gi)return Zr.status=\"done\",Zt.loaded[yr]=Zr,jt(Vr);var Si=gi.rawData,Mi={};gi.expires&&(Mi.expires=gi.expires),gi.cacheControl&&(Mi.cacheControl=gi.cacheControl);var Pi={};if(Fr){var Gi=Fr.finish();Gi&&(Pi.resourceTiming=JSON.parse(JSON.stringify(Gi)))}Zr.vectorTile=gi.vectorTile,Zr.parse(gi.vectorTile,Zt.layerIndex,Zt.availableImages,Zt.actor,function(Ki,ka){if(Ki||!ka)return jt(Ki);jt(null,i.extend({rawTileData:Si.slice(0)},ka,Mi,Pi))}),Zt.loaded=Zt.loaded||{},Zt.loaded[yr]=Zr})},v.prototype.reloadTile=function(ft,jt){var Zt=this,yr=this.loaded,Fr=ft.uid,Zr=this;if(yr&&yr[Fr]){var Vr=yr[Fr];Vr.showCollisionBoxes=ft.showCollisionBoxes;var gi=function(Si,Mi){var Pi=Vr.reloadCallback;Pi&&(delete Vr.reloadCallback,Vr.parse(Vr.vectorTile,Zr.layerIndex,Zt.availableImages,Zr.actor,Pi)),jt(Si,Mi)};Vr.status===\"parsing\"?Vr.reloadCallback=gi:Vr.status===\"done\"&&(Vr.vectorTile?Vr.parse(Vr.vectorTile,this.layerIndex,this.availableImages,this.actor,gi):gi())}},v.prototype.abortTile=function(ft,jt){var Zt=this.loading,yr=ft.uid;Zt&&Zt[yr]&&Zt[yr].abort&&(Zt[yr].abort(),delete Zt[yr]),jt()},v.prototype.removeTile=function(ft,jt){var Zt=this.loaded,yr=ft.uid;Zt&&Zt[yr]&&delete Zt[yr],jt()};var x=i.window.ImageBitmap,b=function(){this.loaded={}};b.prototype.loadTile=function(ft,jt){var Zt=ft.uid,yr=ft.encoding,Fr=ft.rawImageData,Zr=x&&Fr instanceof x?this.getImageData(Fr):Fr,Vr=new i.DEMData(Zt,Zr,yr);this.loaded=this.loaded||{},this.loaded[Zt]=Vr,jt(null,Vr)},b.prototype.getImageData=function(ft){(!this.offscreenCanvas||!this.offscreenCanvasContext)&&(this.offscreenCanvas=new OffscreenCanvas(ft.width,ft.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=ft.width,this.offscreenCanvas.height=ft.height,this.offscreenCanvasContext.drawImage(ft,0,0,ft.width,ft.height);var jt=this.offscreenCanvasContext.getImageData(-1,-1,ft.width+2,ft.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new i.RGBAImage({width:jt.width,height:jt.height},jt.data)},b.prototype.removeTile=function(ft){var jt=this.loaded,Zt=ft.uid;jt&&jt[Zt]&&delete jt[Zt]};var g=E;function E(It,ft){var jt=It&&It.type,Zt;if(jt===\"FeatureCollection\")for(Zt=0;Zt<It.features.length;Zt++)E(It.features[Zt],ft);else if(jt===\"GeometryCollection\")for(Zt=0;Zt<It.geometries.length;Zt++)E(It.geometries[Zt],ft);else if(jt===\"Feature\")E(It.geometry,ft);else if(jt===\"Polygon\")k(It.coordinates,ft);else if(jt===\"MultiPolygon\")for(Zt=0;Zt<It.coordinates.length;Zt++)k(It.coordinates[Zt],ft);return It}function k(It,ft){if(It.length!==0){A(It[0],ft);for(var jt=1;jt<It.length;jt++)A(It[jt],!ft)}}function A(It,ft){for(var jt=0,Zt=0,yr=It.length,Fr=yr-1;Zt<yr;Fr=Zt++)jt+=(It[Zt][0]-It[Fr][0])*(It[Fr][1]+It[Zt][1]);jt>=0!=!!ft&&It.reverse()}var L=i.vectorTile.VectorTileFeature.prototype.toGeoJSON,_=function(ft){this._feature=ft,this.extent=i.EXTENT,this.type=ft.type,this.properties=ft.tags,\"id\"in ft&&!isNaN(ft.id)&&(this.id=parseInt(ft.id,10))};_.prototype.loadGeometry=function(){if(this._feature.type===1){for(var ft=[],jt=0,Zt=this._feature.geometry;jt<Zt.length;jt+=1){var yr=Zt[jt];ft.push([new i.Point$1(yr[0],yr[1])])}return ft}else{for(var Fr=[],Zr=0,Vr=this._feature.geometry;Zr<Vr.length;Zr+=1){for(var gi=Vr[Zr],Si=[],Mi=0,Pi=gi;Mi<Pi.length;Mi+=1){var Gi=Pi[Mi];Si.push(new i.Point$1(Gi[0],Gi[1]))}Fr.push(Si)}return Fr}},_.prototype.toGeoJSON=function(ft,jt,Zt){return L.call(this,ft,jt,Zt)};var C=function(ft){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.EXTENT,this.length=ft.length,this._features=ft};C.prototype.feature=function(ft){return new _(this._features[ft])};var M=i.vectorTile.VectorTileFeature,p=P;function P(It,ft){this.options=ft||{},this.features=It,this.length=It.length}P.prototype.feature=function(It){return new T(this.features[It],this.options.extent)};function T(It,ft){this.id=typeof It.id==\"number\"?It.id:void 0,this.type=It.type,this.rawGeometry=It.type===1?[It.geometry]:It.geometry,this.properties=It.tags,this.extent=ft||4096}T.prototype.loadGeometry=function(){var It=this.rawGeometry;this.geometry=[];for(var ft=0;ft<It.length;ft++){for(var jt=It[ft],Zt=[],yr=0;yr<jt.length;yr++)Zt.push(new i.Point$1(jt[yr][0],jt[yr][1]));this.geometry.push(Zt)}return this.geometry},T.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var It=this.geometry,ft=1/0,jt=-1/0,Zt=1/0,yr=-1/0,Fr=0;Fr<It.length;Fr++)for(var Zr=It[Fr],Vr=0;Vr<Zr.length;Vr++){var gi=Zr[Vr];ft=Math.min(ft,gi.x),jt=Math.max(jt,gi.x),Zt=Math.min(Zt,gi.y),yr=Math.max(yr,gi.y)}return[ft,Zt,jt,yr]},T.prototype.toGeoJSON=M.prototype.toGeoJSON;var F=X,q=X,V=G,H=p;function X(It){var ft=new i.pbf;return N(It,ft),ft.finish()}function G(It,ft){ft=ft||{};var jt={};for(var Zt in It)jt[Zt]=new p(It[Zt].features,ft),jt[Zt].name=Zt,jt[Zt].version=ft.version,jt[Zt].extent=ft.extent;return X({layers:jt})}function N(It,ft){for(var jt in It.layers)ft.writeMessage(3,W,It.layers[jt])}function W(It,ft){ft.writeVarintField(15,It.version||1),ft.writeStringField(1,It.name||\"\"),ft.writeVarintField(5,It.extent||4096);var jt,Zt={keys:[],values:[],keycache:{},valuecache:{}};for(jt=0;jt<It.length;jt++)Zt.feature=It.feature(jt),ft.writeMessage(2,re,Zt);var yr=Zt.keys;for(jt=0;jt<yr.length;jt++)ft.writeStringField(3,yr[jt]);var Fr=Zt.values;for(jt=0;jt<Fr.length;jt++)ft.writeMessage(4,ge,Fr[jt])}function re(It,ft){var jt=It.feature;jt.id!==void 0&&ft.writeVarintField(1,jt.id),ft.writeMessage(2,ae,It),ft.writeVarintField(3,jt.type),ft.writeMessage(4,ke,jt)}function ae(It,ft){var jt=It.feature,Zt=It.keys,yr=It.values,Fr=It.keycache,Zr=It.valuecache;for(var Vr in jt.properties){var gi=Fr[Vr];typeof gi==\"undefined\"&&(Zt.push(Vr),gi=Zt.length-1,Fr[Vr]=gi),ft.writeVarint(gi);var Si=jt.properties[Vr],Mi=typeof Si;Mi!==\"string\"&&Mi!==\"boolean\"&&Mi!==\"number\"&&(Si=JSON.stringify(Si));var Pi=Mi+\":\"+Si,Gi=Zr[Pi];typeof Gi==\"undefined\"&&(yr.push(Si),Gi=yr.length-1,Zr[Pi]=Gi),ft.writeVarint(Gi)}}function _e(It,ft){return(ft<<3)+(It&7)}function Me(It){return It<<1^It>>31}function ke(It,ft){for(var jt=It.loadGeometry(),Zt=It.type,yr=0,Fr=0,Zr=jt.length,Vr=0;Vr<Zr;Vr++){var gi=jt[Vr],Si=1;Zt===1&&(Si=gi.length),ft.writeVarint(_e(1,Si));for(var Mi=Zt===3?gi.length-1:gi.length,Pi=0;Pi<Mi;Pi++){Pi===1&&Zt!==1&&ft.writeVarint(_e(2,Mi-1));var Gi=gi[Pi].x-yr,Ki=gi[Pi].y-Fr;ft.writeVarint(Me(Gi)),ft.writeVarint(Me(Ki)),yr+=Gi,Fr+=Ki}Zt===3&&ft.writeVarint(_e(7,1))}}function ge(It,ft){var jt=typeof It;jt===\"string\"?ft.writeStringField(1,It):jt===\"boolean\"?ft.writeBooleanField(7,It):jt===\"number\"&&(It%1!==0?ft.writeDoubleField(3,It):It<0?ft.writeSVarintField(6,It):ft.writeVarintField(5,It))}F.fromVectorTileJs=q,F.fromGeojsonVt=V,F.GeoJSONWrapper=H;function ie(It,ft,jt,Zt,yr,Fr){if(!(yr-Zt<=jt)){var Zr=Zt+yr>>1;Te(It,ft,Zr,Zt,yr,Fr%2),ie(It,ft,jt,Zt,Zr-1,Fr+1),ie(It,ft,jt,Zr+1,yr,Fr+1)}}function Te(It,ft,jt,Zt,yr,Fr){for(;yr>Zt;){if(yr-Zt>600){var Zr=yr-Zt+1,Vr=jt-Zt+1,gi=Math.log(Zr),Si=.5*Math.exp(2*gi/3),Mi=.5*Math.sqrt(gi*Si*(Zr-Si)/Zr)*(Vr-Zr/2<0?-1:1),Pi=Math.max(Zt,Math.floor(jt-Vr*Si/Zr+Mi)),Gi=Math.min(yr,Math.floor(jt+(Zr-Vr)*Si/Zr+Mi));Te(It,ft,jt,Pi,Gi,Fr)}var Ki=ft[2*jt+Fr],ka=Zt,jn=yr;for(Ee(It,ft,Zt,jt),ft[2*yr+Fr]>Ki&&Ee(It,ft,Zt,yr);ka<jn;){for(Ee(It,ft,ka,jn),ka++,jn--;ft[2*ka+Fr]<Ki;)ka++;for(;ft[2*jn+Fr]>Ki;)jn--}ft[2*Zt+Fr]===Ki?Ee(It,ft,Zt,jn):(jn++,Ee(It,ft,jn,yr)),jn<=jt&&(Zt=jn+1),jt<=jn&&(yr=jn-1)}}function Ee(It,ft,jt,Zt){Ae(It,jt,Zt),Ae(ft,2*jt,2*Zt),Ae(ft,2*jt+1,2*Zt+1)}function Ae(It,ft,jt){var Zt=It[ft];It[ft]=It[jt],It[jt]=Zt}function ze(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=[0,It.length-1,0],gi=[],Si,Mi;Vr.length;){var Pi=Vr.pop(),Gi=Vr.pop(),Ki=Vr.pop();if(Gi-Ki<=Zr){for(var ka=Ki;ka<=Gi;ka++)Si=ft[2*ka],Mi=ft[2*ka+1],Si>=jt&&Si<=yr&&Mi>=Zt&&Mi<=Fr&&gi.push(It[ka]);continue}var jn=Math.floor((Ki+Gi)/2);Si=ft[2*jn],Mi=ft[2*jn+1],Si>=jt&&Si<=yr&&Mi>=Zt&&Mi<=Fr&&gi.push(It[jn]);var la=(Pi+1)%2;(Pi===0?jt<=Si:Zt<=Mi)&&(Vr.push(Ki),Vr.push(jn-1),Vr.push(la)),(Pi===0?yr>=Si:Fr>=Mi)&&(Vr.push(jn+1),Vr.push(Gi),Vr.push(la))}return gi}function Ce(It,ft,jt,Zt,yr,Fr){for(var Zr=[0,It.length-1,0],Vr=[],gi=yr*yr;Zr.length;){var Si=Zr.pop(),Mi=Zr.pop(),Pi=Zr.pop();if(Mi-Pi<=Fr){for(var Gi=Pi;Gi<=Mi;Gi++)me(ft[2*Gi],ft[2*Gi+1],jt,Zt)<=gi&&Vr.push(It[Gi]);continue}var Ki=Math.floor((Pi+Mi)/2),ka=ft[2*Ki],jn=ft[2*Ki+1];me(ka,jn,jt,Zt)<=gi&&Vr.push(It[Ki]);var la=(Si+1)%2;(Si===0?jt-yr<=ka:Zt-yr<=jn)&&(Zr.push(Pi),Zr.push(Ki-1),Zr.push(la)),(Si===0?jt+yr>=ka:Zt+yr>=jn)&&(Zr.push(Ki+1),Zr.push(Mi),Zr.push(la))}return Vr}function me(It,ft,jt,Zt){var yr=It-jt,Fr=ft-Zt;return yr*yr+Fr*Fr}var Re=function(It){return It[0]},ce=function(It){return It[1]},Ge=function(ft,jt,Zt,yr,Fr){jt===void 0&&(jt=Re),Zt===void 0&&(Zt=ce),yr===void 0&&(yr=64),Fr===void 0&&(Fr=Float64Array),this.nodeSize=yr,this.points=ft;for(var Zr=ft.length<65536?Uint16Array:Uint32Array,Vr=this.ids=new Zr(ft.length),gi=this.coords=new Fr(ft.length*2),Si=0;Si<ft.length;Si++)Vr[Si]=Si,gi[2*Si]=jt(ft[Si]),gi[2*Si+1]=Zt(ft[Si]);ie(Vr,gi,yr,0,Vr.length-1,0)};Ge.prototype.range=function(ft,jt,Zt,yr){return ze(this.ids,this.coords,ft,jt,Zt,yr,this.nodeSize)},Ge.prototype.within=function(ft,jt,Zt){return Ce(this.ids,this.coords,ft,jt,Zt,this.nodeSize)};var nt={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(It){return It}},ct=function(ft){this.options=er(Object.create(nt),ft),this.trees=new Array(this.options.maxZoom+1)};ct.prototype.load=function(ft){var jt=this.options,Zt=jt.log,yr=jt.minZoom,Fr=jt.maxZoom,Zr=jt.nodeSize;Zt&&console.time(\"total time\");var Vr=\"prepare \"+ft.length+\" points\";Zt&&console.time(Vr),this.points=ft;for(var gi=[],Si=0;Si<ft.length;Si++)ft[Si].geometry&&gi.push(rt(ft[Si],Si));this.trees[Fr+1]=new Ge(gi,Ke,xt,Zr,Float32Array),Zt&&console.timeEnd(Vr);for(var Mi=Fr;Mi>=yr;Mi--){var Pi=+Date.now();gi=this._cluster(gi,Mi),this.trees[Mi]=new Ge(gi,Ke,xt,Zr,Float32Array),Zt&&console.log(\"z%d: %d clusters in %dms\",Mi,gi.length,+Date.now()-Pi)}return Zt&&console.timeEnd(\"total time\"),this},ct.prototype.getClusters=function(ft,jt){var Zt=((ft[0]+180)%360+360)%360-180,yr=Math.max(-90,Math.min(90,ft[1])),Fr=ft[2]===180?180:((ft[2]+180)%360+360)%360-180,Zr=Math.max(-90,Math.min(90,ft[3]));if(ft[2]-ft[0]>=360)Zt=-180,Fr=180;else if(Zt>Fr){var Vr=this.getClusters([Zt,yr,180,Zr],jt),gi=this.getClusters([-180,yr,Fr,Zr],jt);return Vr.concat(gi)}for(var Si=this.trees[this._limitZoom(jt)],Mi=Si.range(kt(Zt),Ct(Zr),kt(Fr),Ct(yr)),Pi=[],Gi=0,Ki=Mi;Gi<Ki.length;Gi+=1){var ka=Ki[Gi],jn=Si.points[ka];Pi.push(jn.numPoints?ot(jn):this.points[jn.index])}return Pi},ct.prototype.getChildren=function(ft){var jt=this._getOriginId(ft),Zt=this._getOriginZoom(ft),yr=\"No cluster with the specified id.\",Fr=this.trees[Zt];if(!Fr)throw new Error(yr);var Zr=Fr.points[jt];if(!Zr)throw new Error(yr);for(var Vr=this.options.radius/(this.options.extent*Math.pow(2,Zt-1)),gi=Fr.within(Zr.x,Zr.y,Vr),Si=[],Mi=0,Pi=gi;Mi<Pi.length;Mi+=1){var Gi=Pi[Mi],Ki=Fr.points[Gi];Ki.parentId===ft&&Si.push(Ki.numPoints?ot(Ki):this.points[Ki.index])}if(Si.length===0)throw new Error(yr);return Si},ct.prototype.getLeaves=function(ft,jt,Zt){jt=jt||10,Zt=Zt||0;var yr=[];return this._appendLeaves(yr,ft,jt,Zt,0),yr},ct.prototype.getTile=function(ft,jt,Zt){var yr=this.trees[this._limitZoom(ft)],Fr=Math.pow(2,ft),Zr=this.options,Vr=Zr.extent,gi=Zr.radius,Si=gi/Vr,Mi=(Zt-Si)/Fr,Pi=(Zt+1+Si)/Fr,Gi={features:[]};return this._addTileFeatures(yr.range((jt-Si)/Fr,Mi,(jt+1+Si)/Fr,Pi),yr.points,jt,Zt,Fr,Gi),jt===0&&this._addTileFeatures(yr.range(1-Si/Fr,Mi,1,Pi),yr.points,Fr,Zt,Fr,Gi),jt===Fr-1&&this._addTileFeatures(yr.range(0,Mi,Si/Fr,Pi),yr.points,-1,Zt,Fr,Gi),Gi.features.length?Gi:null},ct.prototype.getClusterExpansionZoom=function(ft){for(var jt=this._getOriginZoom(ft)-1;jt<=this.options.maxZoom;){var Zt=this.getChildren(ft);if(jt++,Zt.length!==1)break;ft=Zt[0].properties.cluster_id}return jt},ct.prototype._appendLeaves=function(ft,jt,Zt,yr,Fr){for(var Zr=this.getChildren(jt),Vr=0,gi=Zr;Vr<gi.length;Vr+=1){var Si=gi[Vr],Mi=Si.properties;if(Mi&&Mi.cluster?Fr+Mi.point_count<=yr?Fr+=Mi.point_count:Fr=this._appendLeaves(ft,Mi.cluster_id,Zt,yr,Fr):Fr<yr?Fr++:ft.push(Si),ft.length===Zt)break}return Fr},ct.prototype._addTileFeatures=function(ft,jt,Zt,yr,Fr,Zr){for(var Vr=0,gi=ft;Vr<gi.length;Vr+=1){var Si=gi[Vr],Mi=jt[Si],Pi=Mi.numPoints,Gi={type:1,geometry:[[Math.round(this.options.extent*(Mi.x*Fr-Zt)),Math.round(this.options.extent*(Mi.y*Fr-yr))]],tags:Pi?Rt(Mi):this.points[Mi.index].properties},Ki=void 0;Pi?Ki=Mi.id:this.options.generateId?Ki=Mi.index:this.points[Mi.index].id&&(Ki=this.points[Mi.index].id),Ki!==void 0&&(Gi.id=Ki),Zr.features.push(Gi)}},ct.prototype._limitZoom=function(ft){return Math.max(this.options.minZoom,Math.min(+ft,this.options.maxZoom+1))},ct.prototype._cluster=function(ft,jt){for(var Zt=[],yr=this.options,Fr=yr.radius,Zr=yr.extent,Vr=yr.reduce,gi=yr.minPoints,Si=Fr/(Zr*Math.pow(2,jt)),Mi=0;Mi<ft.length;Mi++){var Pi=ft[Mi];if(!(Pi.zoom<=jt)){Pi.zoom=jt;for(var Gi=this.trees[jt+1],Ki=Gi.within(Pi.x,Pi.y,Si),ka=Pi.numPoints||1,jn=ka,la=0,Fa=Ki;la<Fa.length;la+=1){var Ra=Fa[la],jo=Gi.points[Ra];jo.zoom>jt&&(jn+=jo.numPoints||1)}if(jn>=gi){for(var oa=Pi.x*ka,Sn=Pi.y*ka,Ha=Vr&&ka>1?this._map(Pi,!0):null,oo=(Mi<<5)+(jt+1)+this.points.length,xn=0,_t=Ki;xn<_t.length;xn+=1){var br=_t[xn],Hr=Gi.points[br];if(!(Hr.zoom<=jt)){Hr.zoom=jt;var ti=Hr.numPoints||1;oa+=Hr.x*ti,Sn+=Hr.y*ti,Hr.parentId=oo,Vr&&(Ha||(Ha=this._map(Pi,!0)),Vr(Ha,this._map(Hr)))}}Pi.parentId=oo,Zt.push(qt(oa/jn,Sn/jn,oo,jn,Ha))}else if(Zt.push(Pi),jn>1)for(var zi=0,Yi=Ki;zi<Yi.length;zi+=1){var an=Yi[zi],hi=Gi.points[an];hi.zoom<=jt||(hi.zoom=jt,Zt.push(hi))}}}return Zt},ct.prototype._getOriginId=function(ft){return ft-this.points.length>>5},ct.prototype._getOriginZoom=function(ft){return(ft-this.points.length)%32},ct.prototype._map=function(ft,jt){if(ft.numPoints)return jt?er({},ft.properties):ft.properties;var Zt=this.points[ft.index].properties,yr=this.options.map(Zt);return jt&&yr===Zt?er({},yr):yr};function qt(It,ft,jt,Zt,yr){return{x:It,y:ft,zoom:1/0,id:jt,parentId:-1,numPoints:Zt,properties:yr}}function rt(It,ft){var jt=It.geometry.coordinates,Zt=jt[0],yr=jt[1];return{x:kt(Zt),y:Ct(yr),zoom:1/0,index:ft,parentId:-1}}function ot(It){return{type:\"Feature\",id:It.id,properties:Rt(It),geometry:{type:\"Point\",coordinates:[Yt(It.x),xr(It.y)]}}}function Rt(It){var ft=It.numPoints,jt=ft>=1e4?Math.round(ft/1e3)+\"k\":ft>=1e3?Math.round(ft/100)/10+\"k\":ft;return er(er({},It.properties),{cluster:!0,cluster_id:It.id,point_count:ft,point_count_abbreviated:jt})}function kt(It){return It/360+.5}function Ct(It){var ft=Math.sin(It*Math.PI/180),jt=.5-.25*Math.log((1+ft)/(1-ft))/Math.PI;return jt<0?0:jt>1?1:jt}function Yt(It){return(It-.5)*360}function xr(It){var ft=(180-It*360)*Math.PI/180;return 360*Math.atan(Math.exp(ft))/Math.PI-90}function er(It,ft){for(var jt in ft)It[jt]=ft[jt];return It}function Ke(It){return It.x}function xt(It){return It.y}function bt(It,ft,jt,Zt){for(var yr=Zt,Fr=jt-ft>>1,Zr=jt-ft,Vr,gi=It[ft],Si=It[ft+1],Mi=It[jt],Pi=It[jt+1],Gi=ft+3;Gi<jt;Gi+=3){var Ki=Lt(It[Gi],It[Gi+1],gi,Si,Mi,Pi);if(Ki>yr)Vr=Gi,yr=Ki;else if(Ki===yr){var ka=Math.abs(Gi-Fr);ka<Zr&&(Vr=Gi,Zr=ka)}}yr>Zt&&(Vr-ft>3&&bt(It,ft,Vr,Zt),It[Vr+2]=yr,jt-Vr>3&&bt(It,Vr,jt,Zt))}function Lt(It,ft,jt,Zt,yr,Fr){var Zr=yr-jt,Vr=Fr-Zt;if(Zr!==0||Vr!==0){var gi=((It-jt)*Zr+(ft-Zt)*Vr)/(Zr*Zr+Vr*Vr);gi>1?(jt=yr,Zt=Fr):gi>0&&(jt+=Zr*gi,Zt+=Vr*gi)}return Zr=It-jt,Vr=ft-Zt,Zr*Zr+Vr*Vr}function St(It,ft,jt,Zt){var yr={id:typeof It==\"undefined\"?null:It,type:ft,geometry:jt,tags:Zt,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return Et(yr),yr}function Et(It){var ft=It.geometry,jt=It.type;if(jt===\"Point\"||jt===\"MultiPoint\"||jt===\"LineString\")dt(It,ft);else if(jt===\"Polygon\"||jt===\"MultiLineString\")for(var Zt=0;Zt<ft.length;Zt++)dt(It,ft[Zt]);else if(jt===\"MultiPolygon\")for(Zt=0;Zt<ft.length;Zt++)for(var yr=0;yr<ft[Zt].length;yr++)dt(It,ft[Zt][yr])}function dt(It,ft){for(var jt=0;jt<ft.length;jt+=3)It.minX=Math.min(It.minX,ft[jt]),It.minY=Math.min(It.minY,ft[jt+1]),It.maxX=Math.max(It.maxX,ft[jt]),It.maxY=Math.max(It.maxY,ft[jt+1])}function Ht(It,ft){var jt=[];if(It.type===\"FeatureCollection\")for(var Zt=0;Zt<It.features.length;Zt++)$t(jt,It.features[Zt],ft,Zt);else It.type===\"Feature\"?$t(jt,It,ft):$t(jt,{geometry:It},ft);return jt}function $t(It,ft,jt,Zt){if(ft.geometry){var yr=ft.geometry.coordinates,Fr=ft.geometry.type,Zr=Math.pow(jt.tolerance/((1<<jt.maxZoom)*jt.extent),2),Vr=[],gi=ft.id;if(jt.promoteId?gi=ft.properties[jt.promoteId]:jt.generateId&&(gi=Zt||0),Fr===\"Point\")fr(yr,Vr);else if(Fr===\"MultiPoint\")for(var Si=0;Si<yr.length;Si++)fr(yr[Si],Vr);else if(Fr===\"LineString\")_r(yr,Vr,Zr,!1);else if(Fr===\"MultiLineString\")if(jt.lineMetrics){for(Si=0;Si<yr.length;Si++)Vr=[],_r(yr[Si],Vr,Zr,!1),It.push(St(gi,\"LineString\",Vr,ft.properties));return}else Br(yr,Vr,Zr,!1);else if(Fr===\"Polygon\")Br(yr,Vr,Zr,!0);else if(Fr===\"MultiPolygon\")for(Si=0;Si<yr.length;Si++){var Mi=[];Br(yr[Si],Mi,Zr,!0),Vr.push(Mi)}else if(Fr===\"GeometryCollection\"){for(Si=0;Si<ft.geometry.geometries.length;Si++)$t(It,{id:gi,geometry:ft.geometry.geometries[Si],properties:ft.properties},jt,Zt);return}else throw new Error(\"Input data is not a valid GeoJSON object.\");It.push(St(gi,Fr,Vr,ft.properties))}}function fr(It,ft){ft.push(Or(It[0])),ft.push(Nr(It[1])),ft.push(0)}function _r(It,ft,jt,Zt){for(var yr,Fr,Zr=0,Vr=0;Vr<It.length;Vr++){var gi=Or(It[Vr][0]),Si=Nr(It[Vr][1]);ft.push(gi),ft.push(Si),ft.push(0),Vr>0&&(Zt?Zr+=(yr*Si-gi*Fr)/2:Zr+=Math.sqrt(Math.pow(gi-yr,2)+Math.pow(Si-Fr,2))),yr=gi,Fr=Si}var Mi=ft.length-3;ft[2]=1,bt(ft,0,Mi,jt),ft[Mi+2]=1,ft.size=Math.abs(Zr),ft.start=0,ft.end=ft.size}function Br(It,ft,jt,Zt){for(var yr=0;yr<It.length;yr++){var Fr=[];_r(It[yr],Fr,jt,Zt),ft.push(Fr)}}function Or(It){return It/360+.5}function Nr(It){var ft=Math.sin(It*Math.PI/180),jt=.5-.25*Math.log((1+ft)/(1-ft))/Math.PI;return jt<0?0:jt>1?1:jt}function ut(It,ft,jt,Zt,yr,Fr,Zr,Vr){if(jt/=ft,Zt/=ft,Fr>=jt&&Zr<Zt)return It;if(Zr<jt||Fr>=Zt)return null;for(var gi=[],Si=0;Si<It.length;Si++){var Mi=It[Si],Pi=Mi.geometry,Gi=Mi.type,Ki=yr===0?Mi.minX:Mi.minY,ka=yr===0?Mi.maxX:Mi.maxY;if(Ki>=jt&&ka<Zt){gi.push(Mi);continue}else if(ka<jt||Ki>=Zt)continue;var jn=[];if(Gi===\"Point\"||Gi===\"MultiPoint\")Ne(Pi,jn,jt,Zt,yr);else if(Gi===\"LineString\")Ye(Pi,jn,jt,Zt,yr,!1,Vr.lineMetrics);else if(Gi===\"MultiLineString\")Xe(Pi,jn,jt,Zt,yr,!1);else if(Gi===\"Polygon\")Xe(Pi,jn,jt,Zt,yr,!0);else if(Gi===\"MultiPolygon\")for(var la=0;la<Pi.length;la++){var Fa=[];Xe(Pi[la],Fa,jt,Zt,yr,!0),Fa.length&&jn.push(Fa)}if(jn.length){if(Vr.lineMetrics&&Gi===\"LineString\"){for(la=0;la<jn.length;la++)gi.push(St(Mi.id,Gi,jn[la],Mi.tags));continue}(Gi===\"LineString\"||Gi===\"MultiLineString\")&&(jn.length===1?(Gi=\"LineString\",jn=jn[0]):Gi=\"MultiLineString\"),(Gi===\"Point\"||Gi===\"MultiPoint\")&&(Gi=jn.length===3?\"Point\":\"MultiPoint\"),gi.push(St(Mi.id,Gi,jn,Mi.tags))}}return gi.length?gi:null}function Ne(It,ft,jt,Zt,yr){for(var Fr=0;Fr<It.length;Fr+=3){var Zr=It[Fr+yr];Zr>=jt&&Zr<=Zt&&(ft.push(It[Fr]),ft.push(It[Fr+1]),ft.push(It[Fr+2]))}}function Ye(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=Ve(It),gi=yr===0?Le:xe,Si=It.start,Mi,Pi,Gi=0;Gi<It.length-3;Gi+=3){var Ki=It[Gi],ka=It[Gi+1],jn=It[Gi+2],la=It[Gi+3],Fa=It[Gi+4],Ra=yr===0?Ki:ka,jo=yr===0?la:Fa,oa=!1;Zr&&(Mi=Math.sqrt(Math.pow(Ki-la,2)+Math.pow(ka-Fa,2))),Ra<jt?jo>jt&&(Pi=gi(Vr,Ki,ka,la,Fa,jt),Zr&&(Vr.start=Si+Mi*Pi)):Ra>Zt?jo<Zt&&(Pi=gi(Vr,Ki,ka,la,Fa,Zt),Zr&&(Vr.start=Si+Mi*Pi)):ht(Vr,Ki,ka,jn),jo<jt&&Ra>=jt&&(Pi=gi(Vr,Ki,ka,la,Fa,jt),oa=!0),jo>Zt&&Ra<=Zt&&(Pi=gi(Vr,Ki,ka,la,Fa,Zt),oa=!0),!Fr&&oa&&(Zr&&(Vr.end=Si+Mi*Pi),ft.push(Vr),Vr=Ve(It)),Zr&&(Si+=Mi)}var Sn=It.length-3;Ki=It[Sn],ka=It[Sn+1],jn=It[Sn+2],Ra=yr===0?Ki:ka,Ra>=jt&&Ra<=Zt&&ht(Vr,Ki,ka,jn),Sn=Vr.length-3,Fr&&Sn>=3&&(Vr[Sn]!==Vr[0]||Vr[Sn+1]!==Vr[1])&&ht(Vr,Vr[0],Vr[1],Vr[2]),Vr.length&&ft.push(Vr)}function Ve(It){var ft=[];return ft.size=It.size,ft.start=It.start,ft.end=It.end,ft}function Xe(It,ft,jt,Zt,yr,Fr){for(var Zr=0;Zr<It.length;Zr++)Ye(It[Zr],ft,jt,Zt,yr,Fr,!1)}function ht(It,ft,jt,Zt){It.push(ft),It.push(jt),It.push(Zt)}function Le(It,ft,jt,Zt,yr,Fr){var Zr=(Fr-ft)/(Zt-ft);return It.push(Fr),It.push(jt+(yr-jt)*Zr),It.push(1),Zr}function xe(It,ft,jt,Zt,yr,Fr){var Zr=(Fr-jt)/(yr-jt);return It.push(ft+(Zt-ft)*Zr),It.push(Fr),It.push(1),Zr}function Se(It,ft){var jt=ft.buffer/ft.extent,Zt=It,yr=ut(It,1,-1-jt,jt,0,-1,2,ft),Fr=ut(It,1,1-jt,2+jt,0,-1,2,ft);return(yr||Fr)&&(Zt=ut(It,1,-jt,1+jt,0,-1,2,ft)||[],yr&&(Zt=lt(yr,1).concat(Zt)),Fr&&(Zt=Zt.concat(lt(Fr,-1)))),Zt}function lt(It,ft){for(var jt=[],Zt=0;Zt<It.length;Zt++){var yr=It[Zt],Fr=yr.type,Zr;if(Fr===\"Point\"||Fr===\"MultiPoint\"||Fr===\"LineString\")Zr=Gt(yr.geometry,ft);else if(Fr===\"MultiLineString\"||Fr===\"Polygon\"){Zr=[];for(var Vr=0;Vr<yr.geometry.length;Vr++)Zr.push(Gt(yr.geometry[Vr],ft))}else if(Fr===\"MultiPolygon\")for(Zr=[],Vr=0;Vr<yr.geometry.length;Vr++){for(var gi=[],Si=0;Si<yr.geometry[Vr].length;Si++)gi.push(Gt(yr.geometry[Vr][Si],ft));Zr.push(gi)}jt.push(St(yr.id,Fr,Zr,yr.tags))}return jt}function Gt(It,ft){var jt=[];jt.size=It.size,It.start!==void 0&&(jt.start=It.start,jt.end=It.end);for(var Zt=0;Zt<It.length;Zt+=3)jt.push(It[Zt]+ft,It[Zt+1],It[Zt+2]);return jt}function Vt(It,ft){if(It.transformed)return It;var jt=1<<It.z,Zt=It.x,yr=It.y,Fr,Zr,Vr;for(Fr=0;Fr<It.features.length;Fr++){var gi=It.features[Fr],Si=gi.geometry,Mi=gi.type;if(gi.geometry=[],Mi===1)for(Zr=0;Zr<Si.length;Zr+=2)gi.geometry.push(ar(Si[Zr],Si[Zr+1],ft,jt,Zt,yr));else for(Zr=0;Zr<Si.length;Zr++){var Pi=[];for(Vr=0;Vr<Si[Zr].length;Vr+=2)Pi.push(ar(Si[Zr][Vr],Si[Zr][Vr+1],ft,jt,Zt,yr));gi.geometry.push(Pi)}}return It.transformed=!0,It}function ar(It,ft,jt,Zt,yr,Fr){return[Math.round(jt*(It*Zt-yr)),Math.round(jt*(ft*Zt-Fr))]}function Qr(It,ft,jt,Zt,yr){for(var Fr=ft===yr.maxZoom?0:yr.tolerance/((1<<ft)*yr.extent),Zr={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:jt,y:Zt,z:ft,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},Vr=0;Vr<It.length;Vr++){Zr.numFeatures++,ai(Zr,It[Vr],Fr,yr);var gi=It[Vr].minX,Si=It[Vr].minY,Mi=It[Vr].maxX,Pi=It[Vr].maxY;gi<Zr.minX&&(Zr.minX=gi),Si<Zr.minY&&(Zr.minY=Si),Mi>Zr.maxX&&(Zr.maxX=Mi),Pi>Zr.maxY&&(Zr.maxY=Pi)}return Zr}function ai(It,ft,jt,Zt){var yr=ft.geometry,Fr=ft.type,Zr=[];if(Fr===\"Point\"||Fr===\"MultiPoint\")for(var Vr=0;Vr<yr.length;Vr+=3)Zr.push(yr[Vr]),Zr.push(yr[Vr+1]),It.numPoints++,It.numSimplified++;else if(Fr===\"LineString\")jr(Zr,yr,It,jt,!1,!1);else if(Fr===\"MultiLineString\"||Fr===\"Polygon\")for(Vr=0;Vr<yr.length;Vr++)jr(Zr,yr[Vr],It,jt,Fr===\"Polygon\",Vr===0);else if(Fr===\"MultiPolygon\")for(var gi=0;gi<yr.length;gi++){var Si=yr[gi];for(Vr=0;Vr<Si.length;Vr++)jr(Zr,Si[Vr],It,jt,!0,Vr===0)}if(Zr.length){var Mi=ft.tags||null;if(Fr===\"LineString\"&&Zt.lineMetrics){Mi={};for(var Pi in ft.tags)Mi[Pi]=ft.tags[Pi];Mi.mapbox_clip_start=yr.start/yr.size,Mi.mapbox_clip_end=yr.end/yr.size}var Gi={geometry:Zr,type:Fr===\"Polygon\"||Fr===\"MultiPolygon\"?3:Fr===\"LineString\"||Fr===\"MultiLineString\"?2:1,tags:Mi};ft.id!==null&&(Gi.id=ft.id),It.features.push(Gi)}}function jr(It,ft,jt,Zt,yr,Fr){var Zr=Zt*Zt;if(Zt>0&&ft.size<(yr?Zr:Zt)){jt.numPoints+=ft.length/3;return}for(var Vr=[],gi=0;gi<ft.length;gi+=3)(Zt===0||ft[gi+2]>Zr)&&(jt.numSimplified++,Vr.push(ft[gi]),Vr.push(ft[gi+1])),jt.numPoints++;yr&&ri(Vr,Fr),It.push(Vr)}function ri(It,ft){for(var jt=0,Zt=0,yr=It.length,Fr=yr-2;Zt<yr;Fr=Zt,Zt+=2)jt+=(It[Zt]-It[Fr])*(It[Zt+1]+It[Fr+1]);if(jt>0===ft)for(Zt=0,yr=It.length;Zt<yr/2;Zt+=2){var Zr=It[Zt],Vr=It[Zt+1];It[Zt]=It[yr-2-Zt],It[Zt+1]=It[yr-1-Zt],It[yr-2-Zt]=Zr,It[yr-1-Zt]=Vr}}function bi(It,ft){return new nn(It,ft)}function nn(It,ft){ft=this.options=Ni(Object.create(this.options),ft);var jt=ft.debug;if(jt&&console.time(\"preprocess data\"),ft.maxZoom<0||ft.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(ft.promoteId&&ft.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var Zt=Ht(It,ft);this.tiles={},this.tileCoords=[],jt&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",ft.indexMaxZoom,ft.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),Zt=Se(Zt,ft),Zt.length&&this.splitTile(Zt,0,0,0),jt&&(Zt.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}nn.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},nn.prototype.splitTile=function(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=[It,ft,jt,Zt],gi=this.options,Si=gi.debug;Vr.length;){Zt=Vr.pop(),jt=Vr.pop(),ft=Vr.pop(),It=Vr.pop();var Mi=1<<ft,Pi=Wi(ft,jt,Zt),Gi=this.tiles[Pi];if(!Gi&&(Si>1&&console.time(\"creation\"),Gi=this.tiles[Pi]=Qr(It,ft,jt,Zt,gi),this.tileCoords.push({z:ft,x:jt,y:Zt}),Si)){Si>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",ft,jt,Zt,Gi.numFeatures,Gi.numPoints,Gi.numSimplified),console.timeEnd(\"creation\"));var Ki=\"z\"+ft;this.stats[Ki]=(this.stats[Ki]||0)+1,this.total++}if(Gi.source=It,yr){if(ft===gi.maxZoom||ft===yr)continue;var ka=1<<yr-ft;if(jt!==Math.floor(Fr/ka)||Zt!==Math.floor(Zr/ka))continue}else if(ft===gi.indexMaxZoom||Gi.numPoints<=gi.indexMaxPoints)continue;if(Gi.source=null,It.length!==0){Si>1&&console.time(\"clipping\");var jn=.5*gi.buffer/gi.extent,la=.5-jn,Fa=.5+jn,Ra=1+jn,jo,oa,Sn,Ha,oo,xn;jo=oa=Sn=Ha=null,oo=ut(It,Mi,jt-jn,jt+Fa,0,Gi.minX,Gi.maxX,gi),xn=ut(It,Mi,jt+la,jt+Ra,0,Gi.minX,Gi.maxX,gi),It=null,oo&&(jo=ut(oo,Mi,Zt-jn,Zt+Fa,1,Gi.minY,Gi.maxY,gi),oa=ut(oo,Mi,Zt+la,Zt+Ra,1,Gi.minY,Gi.maxY,gi),oo=null),xn&&(Sn=ut(xn,Mi,Zt-jn,Zt+Fa,1,Gi.minY,Gi.maxY,gi),Ha=ut(xn,Mi,Zt+la,Zt+Ra,1,Gi.minY,Gi.maxY,gi),xn=null),Si>1&&console.timeEnd(\"clipping\"),Vr.push(jo||[],ft+1,jt*2,Zt*2),Vr.push(oa||[],ft+1,jt*2,Zt*2+1),Vr.push(Sn||[],ft+1,jt*2+1,Zt*2),Vr.push(Ha||[],ft+1,jt*2+1,Zt*2+1)}}},nn.prototype.getTile=function(It,ft,jt){var Zt=this.options,yr=Zt.extent,Fr=Zt.debug;if(It<0||It>24)return null;var Zr=1<<It;ft=(ft%Zr+Zr)%Zr;var Vr=Wi(It,ft,jt);if(this.tiles[Vr])return Vt(this.tiles[Vr],yr);Fr>1&&console.log(\"drilling down to z%d-%d-%d\",It,ft,jt);for(var gi=It,Si=ft,Mi=jt,Pi;!Pi&&gi>0;)gi--,Si=Math.floor(Si/2),Mi=Math.floor(Mi/2),Pi=this.tiles[Wi(gi,Si,Mi)];return!Pi||!Pi.source?null:(Fr>1&&console.log(\"found parent tile z%d-%d-%d\",gi,Si,Mi),Fr>1&&console.time(\"drilling down\"),this.splitTile(Pi.source,gi,Si,Mi,It,ft,jt),Fr>1&&console.timeEnd(\"drilling down\"),this.tiles[Vr]?Vt(this.tiles[Vr],yr):null)};function Wi(It,ft,jt){return((1<<It)*jt+ft)*32+It}function Ni(It,ft){for(var jt in ft)It[jt]=ft[jt];return It}function _n(It,ft){var jt=It.tileID.canonical;if(!this._geoJSONIndex)return ft(null,null);var Zt=this._geoJSONIndex.getTile(jt.z,jt.x,jt.y);if(!Zt)return ft(null,null);var yr=new C(Zt.features),Fr=F(yr);(Fr.byteOffset!==0||Fr.byteLength!==Fr.buffer.byteLength)&&(Fr=new Uint8Array(Fr)),ft(null,{vectorTile:yr,rawData:Fr.buffer})}var $i=function(It){function ft(jt,Zt,yr,Fr){It.call(this,jt,Zt,yr,_n),Fr&&(this.loadGeoJSON=Fr)}return It&&(ft.__proto__=It),ft.prototype=Object.create(It&&It.prototype),ft.prototype.constructor=ft,ft.prototype.loadData=function(Zt,yr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=yr,this._pendingLoadDataParams=Zt,this._state&&this._state!==\"Idle\"?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},ft.prototype._loadData=function(){var Zt=this;if(!(!this._pendingCallback||!this._pendingLoadDataParams)){var yr=this._pendingCallback,Fr=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var Zr=Fr&&Fr.request&&Fr.request.collectResourceTiming?new i.RequestPerformance(Fr.request):!1;this.loadGeoJSON(Fr,function(Vr,gi){if(Vr||!gi)return yr(Vr);if(typeof gi!=\"object\")return yr(new Error(\"Input data given to '\"+Fr.source+\"' is not a valid GeoJSON object.\"));g(gi,!0);try{if(Fr.filter){var Si=i.createExpression(Fr.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Si.result===\"error\")throw new Error(Si.value.map(function(Ki){return Ki.key+\": \"+Ki.message}).join(\", \"));var Mi=gi.features.filter(function(Ki){return Si.value.evaluate({zoom:0},Ki)});gi={type:\"FeatureCollection\",features:Mi}}Zt._geoJSONIndex=Fr.cluster?new ct(zn(Fr)).load(gi.features):bi(gi,Fr.geojsonVtOptions)}catch(Ki){return yr(Ki)}Zt.loaded={};var Pi={};if(Zr){var Gi=Zr.finish();Gi&&(Pi.resourceTiming={},Pi.resourceTiming[Fr.source]=JSON.parse(JSON.stringify(Gi)))}yr(null,Pi)})}},ft.prototype.coalesce=function(){this._state===\"Coalescing\"?this._state=\"Idle\":this._state===\"NeedsLoadData\"&&(this._state=\"Coalescing\",this._loadData())},ft.prototype.reloadTile=function(Zt,yr){var Fr=this.loaded,Zr=Zt.uid;return Fr&&Fr[Zr]?It.prototype.reloadTile.call(this,Zt,yr):this.loadTile(Zt,yr)},ft.prototype.loadGeoJSON=function(Zt,yr){if(Zt.request)i.getJSON(Zt.request,yr);else if(typeof Zt.data==\"string\")try{return yr(null,JSON.parse(Zt.data))}catch(Fr){return yr(new Error(\"Input data given to '\"+Zt.source+\"' is not a valid GeoJSON object.\"))}else return yr(new Error(\"Input data given to '\"+Zt.source+\"' is not a valid GeoJSON object.\"))},ft.prototype.removeSource=function(Zt,yr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),yr()},ft.prototype.getClusterExpansionZoom=function(Zt,yr){try{yr(null,this._geoJSONIndex.getClusterExpansionZoom(Zt.clusterId))}catch(Fr){yr(Fr)}},ft.prototype.getClusterChildren=function(Zt,yr){try{yr(null,this._geoJSONIndex.getChildren(Zt.clusterId))}catch(Fr){yr(Fr)}},ft.prototype.getClusterLeaves=function(Zt,yr){try{yr(null,this._geoJSONIndex.getLeaves(Zt.clusterId,Zt.limit,Zt.offset))}catch(Fr){yr(Fr)}},ft}(v);function zn(It){var ft=It.superclusterOptions,jt=It.clusterProperties;if(!jt||!ft)return ft;for(var Zt={},yr={},Fr={accumulated:null,zoom:0},Zr={properties:null},Vr=Object.keys(jt),gi=0,Si=Vr;gi<Si.length;gi+=1){var Mi=Si[gi],Pi=jt[Mi],Gi=Pi[0],Ki=Pi[1],ka=i.createExpression(Ki),jn=i.createExpression(typeof Gi==\"string\"?[Gi,[\"accumulated\"],[\"get\",Mi]]:Gi);Zt[Mi]=ka.value,yr[Mi]=jn.value}return ft.map=function(la){Zr.properties=la;for(var Fa={},Ra=0,jo=Vr;Ra<jo.length;Ra+=1){var oa=jo[Ra];Fa[oa]=Zt[oa].evaluate(Fr,Zr)}return Fa},ft.reduce=function(la,Fa){Zr.properties=Fa;for(var Ra=0,jo=Vr;Ra<jo.length;Ra+=1){var oa=jo[Ra];Fr.accumulated=la[oa],la[oa]=yr[oa].evaluate(Fr,Zr)}},ft}var Wn=function(ft){var jt=this;this.self=ft,this.actor=new i.Actor(ft,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:v,geojson:$i},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(Zt,yr){if(jt.workerSourceTypes[Zt])throw new Error('Worker source with name \"'+Zt+'\" already registered.');jt.workerSourceTypes[Zt]=yr},this.self.registerRTLTextPlugin=function(Zt){if(i.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");i.plugin.applyArabicShaping=Zt.applyArabicShaping,i.plugin.processBidirectionalText=Zt.processBidirectionalText,i.plugin.processStyledBidirectionalText=Zt.processStyledBidirectionalText}};return Wn.prototype.setReferrer=function(ft,jt){this.referrer=jt},Wn.prototype.setImages=function(ft,jt,Zt){this.availableImages[ft]=jt;for(var yr in this.workerSources[ft]){var Fr=this.workerSources[ft][yr];for(var Zr in Fr)Fr[Zr].availableImages=jt}Zt()},Wn.prototype.setLayers=function(ft,jt,Zt){this.getLayerIndex(ft).replace(jt),Zt()},Wn.prototype.updateLayers=function(ft,jt,Zt){this.getLayerIndex(ft).update(jt.layers,jt.removedIds),Zt()},Wn.prototype.loadTile=function(ft,jt,Zt){this.getWorkerSource(ft,jt.type,jt.source).loadTile(jt,Zt)},Wn.prototype.loadDEMTile=function(ft,jt,Zt){this.getDEMWorkerSource(ft,jt.source).loadTile(jt,Zt)},Wn.prototype.reloadTile=function(ft,jt,Zt){this.getWorkerSource(ft,jt.type,jt.source).reloadTile(jt,Zt)},Wn.prototype.abortTile=function(ft,jt,Zt){this.getWorkerSource(ft,jt.type,jt.source).abortTile(jt,Zt)},Wn.prototype.removeTile=function(ft,jt,Zt){this.getWorkerSource(ft,jt.type,jt.source).removeTile(jt,Zt)},Wn.prototype.removeDEMTile=function(ft,jt){this.getDEMWorkerSource(ft,jt.source).removeTile(jt)},Wn.prototype.removeSource=function(ft,jt,Zt){if(!(!this.workerSources[ft]||!this.workerSources[ft][jt.type]||!this.workerSources[ft][jt.type][jt.source])){var yr=this.workerSources[ft][jt.type][jt.source];delete this.workerSources[ft][jt.type][jt.source],yr.removeSource!==void 0?yr.removeSource(jt,Zt):Zt()}},Wn.prototype.loadWorkerSource=function(ft,jt,Zt){try{this.self.importScripts(jt.url),Zt()}catch(yr){Zt(yr.toString())}},Wn.prototype.syncRTLPluginState=function(ft,jt,Zt){try{i.plugin.setState(jt);var yr=i.plugin.getPluginURL();if(i.plugin.isLoaded()&&!i.plugin.isParsed()&&yr!=null){this.self.importScripts(yr);var Fr=i.plugin.isParsed(),Zr=Fr?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+yr);Zt(Zr,Fr)}}catch(Vr){Zt(Vr.toString())}},Wn.prototype.getAvailableImages=function(ft){var jt=this.availableImages[ft];return jt||(jt=[]),jt},Wn.prototype.getLayerIndex=function(ft){var jt=this.layerIndexes[ft];return jt||(jt=this.layerIndexes[ft]=new l),jt},Wn.prototype.getWorkerSource=function(ft,jt,Zt){var yr=this;if(this.workerSources[ft]||(this.workerSources[ft]={}),this.workerSources[ft][jt]||(this.workerSources[ft][jt]={}),!this.workerSources[ft][jt][Zt]){var Fr={send:function(Zr,Vr,gi){yr.actor.send(Zr,Vr,gi,ft)}};this.workerSources[ft][jt][Zt]=new this.workerSourceTypes[jt](Fr,this.getLayerIndex(ft),this.getAvailableImages(ft))}return this.workerSources[ft][jt][Zt]},Wn.prototype.getDEMWorkerSource=function(ft,jt){return this.demWorkerSources[ft]||(this.demWorkerSources[ft]={}),this.demWorkerSources[ft][jt]||(this.demWorkerSources[ft][jt]=new b),this.demWorkerSources[ft][jt]},Wn.prototype.enforceCacheSizeLimit=function(ft,jt){i.enforceCacheSizeLimit(jt)},typeof WorkerGlobalScope!=\"undefined\"&&typeof self!=\"undefined\"&&self instanceof WorkerGlobalScope&&(self.worker=new Wn(self)),Wn}),n([\"./shared\"],function(i){\"use strict\";var 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Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}$(null,pe)},z.prototype.getPixelSize=function(){var O=this.atlasImage,$=O.width,pe=O.height;return{width:$,height:pe}},z.prototype.getPattern=function(O){var $=this.patterns[O],pe=this.getImage(O);if(!pe)return null;if($&&$.position.version===pe.version)return $.position;if($)$.position.version=pe.version;else{var de=pe.data.width+g*2,Ie=pe.data.height+g*2,$e={w:de,h:Ie,x:0,y:0},pt=new i.ImagePosition($e,pe);this.patterns[O]={bin:$e,position:pt}}return this._updatePatternAtlas(),this.patterns[O].position},z.prototype.bind=function(O){var $=O.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new i.Texture(O,this.atlasImage,$.RGBA),this.atlasTexture.bind($.LINEAR,$.CLAMP_TO_EDGE)},z.prototype._updatePatternAtlas=function(){var O=[];for(var $ in this.patterns)O.push(this.patterns[$].bin);var pe=i.potpack(O),de=pe.w,Ie=pe.h,$e=this.atlasImage;$e.resize({width:de||1,height:Ie||1});for(var pt in this.patterns){var Kt=this.patterns[pt],ir=Kt.bin,Jt=ir.x+g,vt=ir.y+g,Pt=this.images[pt].data,Wt=Pt.width,rr=Pt.height;i.RGBAImage.copy(Pt,$e,{x:0,y:0},{x:Jt,y:vt},{width:Wt,height:rr}),i.RGBAImage.copy(Pt,$e,{x:0,y:rr-1},{x:Jt,y:vt-1},{width:Wt,height:1}),i.RGBAImage.copy(Pt,$e,{x:0,y:0},{x:Jt,y:vt+rr},{width:Wt,height:1}),i.RGBAImage.copy(Pt,$e,{x:Wt-1,y:0},{x:Jt-1,y:vt},{width:1,height:rr}),i.RGBAImage.copy(Pt,$e,{x:0,y:0},{x:Jt+Wt,y:vt},{width:1,height:rr})}this.dirty=!0},z.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},z.prototype.dispatchRenderCallbacks=function(O){for(var $=0,pe=O;$<pe.length;$+=1){var de=pe[$];if(!this.callbackDispatchedThisFrame[de]){this.callbackDispatchedThisFrame[de]=!0;var Ie=this.images[de],$e=b(Ie);$e&&this.updateImage(de,Ie)}}},z}(i.Evented);function k(Y,z,K,O,$){var pe=z*256,de=pe+255,Ie=O.transformRequest(O.normalizeGlyphsURL(K).replace(\"{fontstack}\",Y).replace(\"{range}\",pe+\"-\"+de),i.ResourceType.Glyphs);i.getArrayBuffer(Ie,function($e,pt){if($e)$($e);else if(pt){for(var Kt={},ir=0,Jt=i.parseGlyphPBF(pt);ir<Jt.length;ir+=1){var vt=Jt[ir];Kt[vt.id]=vt}$(null,Kt)}})}var A=C,L=C,_=1e20;function C(Y,z,K,O,$,pe){this.fontSize=Y||24,this.buffer=z===void 0?3:z,this.cutoff=O||.25,this.fontFamily=$||\"sans-serif\",this.fontWeight=pe||\"normal\",this.radius=K||8;var de=this.size=this.fontSize+this.buffer*2;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=de,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(de*de),this.gridInner=new Float64Array(de*de),this.f=new Float64Array(de),this.d=new Float64Array(de),this.z=new Float64Array(de+1),this.v=new Int16Array(de),this.middle=Math.round(de/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}C.prototype.draw=function(Y){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(Y,this.buffer,this.middle);for(var z=this.ctx.getImageData(0,0,this.size,this.size),K=new Uint8ClampedArray(this.size*this.size),O=0;O<this.size*this.size;O++){var $=z.data[O*4+3]/255;this.gridOuter[O]=$===1?0:$===0?_:Math.pow(Math.max(0,.5-$),2),this.gridInner[O]=$===1?_:$===0?0:Math.pow(Math.max(0,$-.5),2)}for(M(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),M(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),O=0;O<this.size*this.size;O++){var pe=this.gridOuter[O]-this.gridInner[O];K[O]=Math.max(0,Math.min(255,Math.round(255-255*(pe/this.radius+this.cutoff))))}return K};function M(Y,z,K,O,$,pe,de){for(var Ie=0;Ie<z;Ie++){for(var $e=0;$e<K;$e++)O[$e]=Y[$e*z+Ie];for(p(O,$,pe,de,K),$e=0;$e<K;$e++)Y[$e*z+Ie]=$[$e]}for($e=0;$e<K;$e++){for(Ie=0;Ie<z;Ie++)O[Ie]=Y[$e*z+Ie];for(p(O,$,pe,de,z),Ie=0;Ie<z;Ie++)Y[$e*z+Ie]=Math.sqrt($[Ie])}}function p(Y,z,K,O,$){K[0]=0,O[0]=-_,O[1]=+_;for(var pe=1,de=0;pe<$;pe++){for(var Ie=(Y[pe]+pe*pe-(Y[K[de]]+K[de]*K[de]))/(2*pe-2*K[de]);Ie<=O[de];)de--,Ie=(Y[pe]+pe*pe-(Y[K[de]]+K[de]*K[de]))/(2*pe-2*K[de]);de++,K[de]=pe,O[de]=Ie,O[de+1]=+_}for(pe=0,de=0;pe<$;pe++){for(;O[de+1]<pe;)de++;z[pe]=(pe-K[de])*(pe-K[de])+Y[K[de]]}}A.default=L;var P=function(z,K){this.requestManager=z,this.localIdeographFontFamily=K,this.entries={}};P.prototype.setURL=function(z){this.url=z},P.prototype.getGlyphs=function(z,K){var O=this,$=[];for(var pe in z)for(var de=0,Ie=z[pe];de<Ie.length;de+=1){var $e=Ie[de];$.push({stack:pe,id:$e})}i.asyncAll($,function(pt,Kt){var ir=pt.stack,Jt=pt.id,vt=O.entries[ir];vt||(vt=O.entries[ir]={glyphs:{},requests:{},ranges:{}});var Pt=vt.glyphs[Jt];if(Pt!==void 0){Kt(null,{stack:ir,id:Jt,glyph:Pt});return}if(Pt=O._tinySDF(vt,ir,Jt),Pt){vt.glyphs[Jt]=Pt,Kt(null,{stack:ir,id:Jt,glyph:Pt});return}var Wt=Math.floor(Jt/256);if(Wt*256>65535){Kt(new Error(\"glyphs > 65535 not supported\"));return}if(vt.ranges[Wt]){Kt(null,{stack:ir,id:Jt,glyph:Pt});return}var rr=vt.requests[Wt];rr||(rr=vt.requests[Wt]=[],P.loadGlyphRange(ir,Wt,O.url,O.requestManager,function(dr,pr){if(pr){for(var kr in pr)O._doesCharSupportLocalGlyph(+kr)||(vt.glyphs[+kr]=pr[+kr]);vt.ranges[Wt]=!0}for(var Ar=0,gr=rr;Ar<gr.length;Ar+=1){var Cr=gr[Ar];Cr(dr,pr)}delete vt.requests[Wt]})),rr.push(function(dr,pr){dr?Kt(dr):pr&&Kt(null,{stack:ir,id:Jt,glyph:pr[Jt]||null})})},function(pt,Kt){if(pt)K(pt);else if(Kt){for(var ir={},Jt=0,vt=Kt;Jt<vt.length;Jt+=1){var Pt=vt[Jt],Wt=Pt.stack,rr=Pt.id,dr=Pt.glyph;(ir[Wt]||(ir[Wt]={}))[rr]=dr&&{id:dr.id,bitmap:dr.bitmap.clone(),metrics:dr.metrics}}K(null,ir)}})},P.prototype._doesCharSupportLocalGlyph=function(z){return!!this.localIdeographFontFamily&&(i.isChar[\"CJK Unified Ideographs\"](z)||i.isChar[\"Hangul Syllables\"](z)||i.isChar.Hiragana(z)||i.isChar.Katakana(z))},P.prototype._tinySDF=function(z,K,O){var $=this.localIdeographFontFamily;if($&&this._doesCharSupportLocalGlyph(O)){var pe=z.tinySDF;if(!pe){var de=\"400\";/bold/i.test(K)?de=\"900\":/medium/i.test(K)?de=\"500\":/light/i.test(K)&&(de=\"200\"),pe=z.tinySDF=new P.TinySDF(24,3,8,.25,$,de)}return{id:O,bitmap:new i.AlphaImage({width:30,height:30},pe.draw(String.fromCharCode(O))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},P.loadGlyphRange=k,P.TinySDF=A;var T=function(){this.specification=i.styleSpec.light.position};T.prototype.possiblyEvaluate=function(z,K){return i.sphericalToCartesian(z.expression.evaluate(K))},T.prototype.interpolate=function(z,K,O){return{x:i.number(z.x,K.x,O),y:i.number(z.y,K.y,O),z:i.number(z.z,K.z,O)}};var F=new i.Properties({anchor:new i.DataConstantProperty(i.styleSpec.light.anchor),position:new T,color:new i.DataConstantProperty(i.styleSpec.light.color),intensity:new i.DataConstantProperty(i.styleSpec.light.intensity)}),q=\"-transition\",V=function(Y){function z(K){Y.call(this),this._transitionable=new i.Transitionable(F),this.setLight(K),this._transitioning=this._transitionable.untransitioned()}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.getLight=function(){return this._transitionable.serialize()},z.prototype.setLight=function(O,$){if($===void 0&&($={}),!this._validate(i.validateLight,O,$))for(var pe in O){var de=O[pe];i.endsWith(pe,q)?this._transitionable.setTransition(pe.slice(0,-q.length),de):this._transitionable.setValue(pe,de)}},z.prototype.updateTransitions=function(O){this._transitioning=this._transitionable.transitioned(O,this._transitioning)},z.prototype.hasTransition=function(){return this._transitioning.hasTransition()},z.prototype.recalculate=function(O){this.properties=this._transitioning.possiblyEvaluate(O)},z.prototype._validate=function(O,$,pe){return pe&&pe.validate===!1?!1:i.emitValidationErrors(this,O.call(i.validateStyle,i.extend({value:$,style:{glyphs:!0,sprite:!0},styleSpec:i.styleSpec})))},z}(i.Evented),H=function(z,K){this.width=z,this.height=K,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};H.prototype.getDash=function(z,K){var O=z.join(\",\")+String(K);return this.dashEntry[O]||(this.dashEntry[O]=this.addDash(z,K)),this.dashEntry[O]},H.prototype.getDashRanges=function(z,K,O){var $=z.length%2===1,pe=[],de=$?-z[z.length-1]*O:0,Ie=z[0]*O,$e=!0;pe.push({left:de,right:Ie,isDash:$e,zeroLength:z[0]===0});for(var pt=z[0],Kt=1;Kt<z.length;Kt++){$e=!$e;var ir=z[Kt];de=pt*O,pt+=ir,Ie=pt*O,pe.push({left:de,right:Ie,isDash:$e,zeroLength:ir===0})}return pe},H.prototype.addRoundDash=function(z,K,O){for(var $=K/2,pe=-O;pe<=O;pe++)for(var de=this.nextRow+O+pe,Ie=this.width*de,$e=0,pt=z[$e],Kt=0;Kt<this.width;Kt++){Kt/pt.right>1&&(pt=z[++$e]);var ir=Math.abs(Kt-pt.left),Jt=Math.abs(Kt-pt.right),vt=Math.min(ir,Jt),Pt=void 0,Wt=pe/O*($+1);if(pt.isDash){var rr=$-Math.abs(Wt);Pt=Math.sqrt(vt*vt+rr*rr)}else Pt=$-Math.sqrt(vt*vt+Wt*Wt);this.data[Ie+Kt]=Math.max(0,Math.min(255,Pt+128))}},H.prototype.addRegularDash=function(z){for(var K=z.length-1;K>=0;--K){var O=z[K],$=z[K+1];O.zeroLength?z.splice(K,1):$&&$.isDash===O.isDash&&($.left=O.left,z.splice(K,1))}var pe=z[0],de=z[z.length-1];pe.isDash===de.isDash&&(pe.left=de.left-this.width,de.right=pe.right+this.width);for(var Ie=this.width*this.nextRow,$e=0,pt=z[$e],Kt=0;Kt<this.width;Kt++){Kt/pt.right>1&&(pt=z[++$e]);var ir=Math.abs(Kt-pt.left),Jt=Math.abs(Kt-pt.right),vt=Math.min(ir,Jt),Pt=pt.isDash?vt:-vt;this.data[Ie+Kt]=Math.max(0,Math.min(255,Pt+128))}},H.prototype.addDash=function(z,K){var O=K?7:0,$=2*O+1;if(this.nextRow+$>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var pe=0,de=0;de<z.length;de++)pe+=z[de];if(pe!==0){var Ie=this.width/pe,$e=this.getDashRanges(z,this.width,Ie);K?this.addRoundDash($e,Ie,O):this.addRegularDash($e)}var pt={y:(this.nextRow+O+.5)/this.height,height:2*O/this.height,width:pe};return this.nextRow+=$,this.dirty=!0,pt},H.prototype.bind=function(z){var K=z.gl;this.texture?(K.bindTexture(K.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,K.texSubImage2D(K.TEXTURE_2D,0,0,0,this.width,this.height,K.ALPHA,K.UNSIGNED_BYTE,this.data))):(this.texture=K.createTexture(),K.bindTexture(K.TEXTURE_2D,this.texture),K.texParameteri(K.TEXTURE_2D,K.TEXTURE_WRAP_S,K.REPEAT),K.texParameteri(K.TEXTURE_2D,K.TEXTURE_WRAP_T,K.REPEAT),K.texParameteri(K.TEXTURE_2D,K.TEXTURE_MIN_FILTER,K.LINEAR),K.texParameteri(K.TEXTURE_2D,K.TEXTURE_MAG_FILTER,K.LINEAR),K.texImage2D(K.TEXTURE_2D,0,K.ALPHA,this.width,this.height,0,K.ALPHA,K.UNSIGNED_BYTE,this.data))};var X=function Y(z,K){this.workerPool=z,this.actors=[],this.currentActor=0,this.id=i.uniqueId();for(var O=this.workerPool.acquire(this.id),$=0;$<O.length;$++){var pe=O[$],de=new Y.Actor(pe,K,this.id);de.name=\"Worker \"+$,this.actors.push(de)}};X.prototype.broadcast=function(z,K,O){O=O||function(){},i.asyncAll(this.actors,function($,pe){$.send(z,K,pe)},O)},X.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},X.prototype.remove=function(){this.actors.forEach(function(z){z.remove()}),this.actors=[],this.workerPool.release(this.id)},X.Actor=i.Actor;function G(Y,z,K){var O=function($,pe){if($)return K($);if(pe){var de=i.pick(i.extend(pe,Y),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);pe.vector_layers&&(de.vectorLayers=pe.vector_layers,de.vectorLayerIds=de.vectorLayers.map(function(Ie){return Ie.id})),de.tiles=z.canonicalizeTileset(de,Y.url),K(null,de)}};return Y.url?i.getJSON(z.transformRequest(z.normalizeSourceURL(Y.url),i.ResourceType.Source),O):i.browser.frame(function(){return O(null,Y)})}var N=function(z,K,O){this.bounds=i.LngLatBounds.convert(this.validateBounds(z)),this.minzoom=K||0,this.maxzoom=O||24};N.prototype.validateBounds=function(z){return!Array.isArray(z)||z.length!==4?[-180,-90,180,90]:[Math.max(-180,z[0]),Math.max(-90,z[1]),Math.min(180,z[2]),Math.min(90,z[3])]},N.prototype.contains=function(z){var K=Math.pow(2,z.z),O={minX:Math.floor(i.mercatorXfromLng(this.bounds.getWest())*K),minY:Math.floor(i.mercatorYfromLat(this.bounds.getNorth())*K),maxX:Math.ceil(i.mercatorXfromLng(this.bounds.getEast())*K),maxY:Math.ceil(i.mercatorYfromLat(this.bounds.getSouth())*K)},$=z.x>=O.minX&&z.x<O.maxX&&z.y>=O.minY&&z.y<O.maxY;return $};var W=function(Y){function z(K,O,$,pe){if(Y.call(this),this.id=K,this.dispatcher=$,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=i.extend({type:\"vector\"},O),this._collectResourceTiming=O.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(pe)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=G(this._options,this.map._requestManager,function($,pe){O._tileJSONRequest=null,O._loaded=!0,$?O.fire(new i.ErrorEvent($)):pe&&(i.extend(O,pe),pe.bounds&&(O.tileBounds=new N(pe.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(pe.tiles,O.map._requestManager._customAccessToken),i.postMapLoadEvent(pe.tiles,O.map._getMapId(),O.map._requestManager._skuToken,O.map._requestManager._customAccessToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},z.prototype.loaded=function(){return this._loaded},z.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.setSourceProperty=function(O){this._tileJSONRequest&&this._tileJSONRequest.cancel(),O();var $=this.map.style.sourceCaches[this.id];$.clearTiles(),this.load()},z.prototype.setTiles=function(O){var $=this;return this.setSourceProperty(function(){$._options.tiles=O}),this},z.prototype.setUrl=function(O){var $=this;return this.setSourceProperty(function(){$.url=O,$._options.url=O}),this},z.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},z.prototype.serialize=function(){return i.extend({},this._options)},z.prototype.loadTile=function(O,$){var pe=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme)),de={request:this.map._requestManager.transformRequest(pe,i.ResourceType.Tile),uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,tileSize:this.tileSize*O.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};de.request.collectResourceTiming=this._collectResourceTiming,!O.actor||O.state===\"expired\"?(O.actor=this.dispatcher.getActor(),O.request=O.actor.send(\"loadTile\",de,Ie.bind(this))):O.state===\"loading\"?O.reloadCallback=$:O.request=O.actor.send(\"reloadTile\",de,Ie.bind(this));function Ie($e,pt){if(delete O.request,O.aborted)return $(null);if($e&&$e.status!==404)return $($e);pt&&pt.resourceTiming&&(O.resourceTiming=pt.resourceTiming),this.map._refreshExpiredTiles&&pt&&O.setExpiryData(pt),O.loadVectorData(pt,this.map.painter),i.cacheEntryPossiblyAdded(this.dispatcher),$(null),O.reloadCallback&&(this.loadTile(O,O.reloadCallback),O.reloadCallback=null)}},z.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.actor&&O.actor.send(\"abortTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},z.prototype.unloadTile=function(O){O.unloadVectorData(),O.actor&&O.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},z.prototype.hasTransition=function(){return!1},z}(i.Evented),re=function(Y){function z(K,O,$,pe){Y.call(this),this.id=K,this.dispatcher=$,this.setEventedParent(pe),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=i.extend({type:\"raster\"},O),i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\"]))}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=G(this._options,this.map._requestManager,function($,pe){O._tileJSONRequest=null,O._loaded=!0,$?O.fire(new i.ErrorEvent($)):pe&&(i.extend(O,pe),pe.bounds&&(O.tileBounds=new N(pe.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(pe.tiles),i.postMapLoadEvent(pe.tiles,O.map._getMapId(),O.map._requestManager._skuToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},z.prototype.loaded=function(){return this._loaded},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},z.prototype.serialize=function(){return i.extend({},this._options)},z.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},z.prototype.loadTile=function(O,$){var pe=this,de=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(de,i.ResourceType.Tile),function(Ie,$e){if(delete O.request,O.aborted)O.state=\"unloaded\",$(null);else if(Ie)O.state=\"errored\",$(Ie);else if($e){pe.map._refreshExpiredTiles&&O.setExpiryData($e),delete $e.cacheControl,delete $e.expires;var pt=pe.map.painter.context,Kt=pt.gl;O.texture=pe.map.painter.getTileTexture($e.width),O.texture?O.texture.update($e,{useMipmap:!0}):(O.texture=new i.Texture(pt,$e,Kt.RGBA,{useMipmap:!0}),O.texture.bind(Kt.LINEAR,Kt.CLAMP_TO_EDGE,Kt.LINEAR_MIPMAP_NEAREST),pt.extTextureFilterAnisotropic&&Kt.texParameterf(Kt.TEXTURE_2D,pt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,pt.extTextureFilterAnisotropicMax)),O.state=\"loaded\",i.cacheEntryPossiblyAdded(pe.dispatcher),$(null)}})},z.prototype.abortTile=function(O,$){O.request&&(O.request.cancel(),delete O.request),$()},z.prototype.unloadTile=function(O,$){O.texture&&this.map.painter.saveTileTexture(O.texture),$()},z.prototype.hasTransition=function(){return!1},z}(i.Evented),ae=function(Y){function z(K,O,$,pe){Y.call(this,K,O,$,pe),this.type=\"raster-dem\",this.maxzoom=22,this._options=i.extend({type:\"raster-dem\"},O),this.encoding=O.encoding||\"mapbox\"}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},z.prototype.loadTile=function(O,$){var pe=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(pe,i.ResourceType.Tile),de.bind(this)),O.neighboringTiles=this._getNeighboringTiles(O.tileID);function de($e,pt){if(delete O.request,O.aborted)O.state=\"unloaded\",$(null);else if($e)O.state=\"errored\",$($e);else if(pt){this.map._refreshExpiredTiles&&O.setExpiryData(pt),delete pt.cacheControl,delete pt.expires;var Kt=i.window.ImageBitmap&&pt instanceof i.window.ImageBitmap&&i.offscreenCanvasSupported(),ir=Kt?pt:i.browser.getImageData(pt,1),Jt={uid:O.uid,coord:O.tileID,source:this.id,rawImageData:ir,encoding:this.encoding};(!O.actor||O.state===\"expired\")&&(O.actor=this.dispatcher.getActor(),O.actor.send(\"loadDEMTile\",Jt,Ie.bind(this)))}}function Ie($e,pt){$e&&(O.state=\"errored\",$($e)),pt&&(O.dem=pt,O.needsHillshadePrepare=!0,O.state=\"loaded\",$(null))}},z.prototype._getNeighboringTiles=function(O){var $=O.canonical,pe=Math.pow(2,$.z),de=($.x-1+pe)%pe,Ie=$.x===0?O.wrap-1:O.wrap,$e=($.x+1+pe)%pe,pt=$.x+1===pe?O.wrap+1:O.wrap,Kt={};return Kt[new i.OverscaledTileID(O.overscaledZ,Ie,$.z,de,$.y).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,pt,$.z,$e,$.y).key]={backfilled:!1},$.y>0&&(Kt[new i.OverscaledTileID(O.overscaledZ,Ie,$.z,de,$.y-1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,O.wrap,$.z,$.x,$.y-1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,pt,$.z,$e,$.y-1).key]={backfilled:!1}),$.y+1<pe&&(Kt[new i.OverscaledTileID(O.overscaledZ,Ie,$.z,de,$.y+1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,O.wrap,$.z,$.x,$.y+1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,pt,$.z,$e,$.y+1).key]={backfilled:!1}),Kt},z.prototype.unloadTile=function(O){O.demTexture&&this.map.painter.saveTileTexture(O.demTexture),O.fbo&&(O.fbo.destroy(),delete O.fbo),O.dem&&delete O.dem,delete O.neighboringTiles,O.state=\"unloaded\",O.actor&&O.actor.send(\"removeDEMTile\",{uid:O.uid,source:this.id})},z}(re),_e=function(Y){function z(K,O,$,pe){Y.call(this),this.id=K,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=$.getActor(),this.setEventedParent(pe),this._data=O.data,this._options=i.extend({},O),this._collectResourceTiming=O.collectResourceTiming,this._resourceTiming=[],O.maxzoom!==void 0&&(this.maxzoom=O.maxzoom),O.type&&(this.type=O.type),O.attribution&&(this.attribution=O.attribution),this.promoteId=O.promoteId;var de=i.EXTENT/this.tileSize;this.workerOptions=i.extend({source:this.id,cluster:O.cluster||!1,geojsonVtOptions:{buffer:(O.buffer!==void 0?O.buffer:128)*de,tolerance:(O.tolerance!==void 0?O.tolerance:.375)*de,extent:i.EXTENT,maxZoom:this.maxzoom,lineMetrics:O.lineMetrics||!1,generateId:O.generateId||!1},superclusterOptions:{maxZoom:O.clusterMaxZoom!==void 0?Math.min(O.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,O.clusterMinPoints||2),extent:i.EXTENT,radius:(O.clusterRadius||50)*de,log:!1,generateId:O.generateId||!1},clusterProperties:O.clusterProperties,filter:O.filter},O.workerOptions)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){var O=this;this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function($){if($){O.fire(new i.ErrorEvent($));return}var pe={dataType:\"source\",sourceDataType:\"metadata\"};O._collectResourceTiming&&O._resourceTiming&&O._resourceTiming.length>0&&(pe.resourceTiming=O._resourceTiming,O._resourceTiming=[]),O.fire(new i.Event(\"data\",pe))})},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.setData=function(O){var $=this;return this._data=O,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(pe){if(pe){$.fire(new i.ErrorEvent(pe));return}var de={dataType:\"source\",sourceDataType:\"content\"};$._collectResourceTiming&&$._resourceTiming&&$._resourceTiming.length>0&&(de.resourceTiming=$._resourceTiming,$._resourceTiming=[]),$.fire(new i.Event(\"data\",de))}),this},z.prototype.getClusterExpansionZoom=function(O,$){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:O,source:this.id},$),this},z.prototype.getClusterChildren=function(O,$){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:O,source:this.id},$),this},z.prototype.getClusterLeaves=function(O,$,pe,de){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:O,limit:$,offset:pe},de),this},z.prototype._updateWorkerData=function(O){var $=this;this._loaded=!1;var pe=i.extend({},this.workerOptions),de=this._data;typeof de==\"string\"?(pe.request=this.map._requestManager.transformRequest(i.browser.resolveURL(de),i.ResourceType.Source),pe.request.collectResourceTiming=this._collectResourceTiming):pe.data=JSON.stringify(de),this.actor.send(this.type+\".loadData\",pe,function(Ie,$e){$._removed||$e&&$e.abandoned||($._loaded=!0,$e&&$e.resourceTiming&&$e.resourceTiming[$.id]&&($._resourceTiming=$e.resourceTiming[$.id].slice(0)),$.actor.send($.type+\".coalesce\",{source:pe.source},null),O(Ie))})},z.prototype.loaded=function(){return this._loaded},z.prototype.loadTile=function(O,$){var pe=this,de=O.actor?\"reloadTile\":\"loadTile\";O.actor=this.actor;var Ie={type:this.type,uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};O.request=this.actor.send(de,Ie,function($e,pt){return delete O.request,O.unloadVectorData(),O.aborted?$(null):$e?$($e):(O.loadVectorData(pt,pe.map.painter,de===\"reloadTile\"),$(null))})},z.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.aborted=!0},z.prototype.unloadTile=function(O){O.unloadVectorData(),this.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id})},z.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},z.prototype.serialize=function(){return i.extend({},this._options,{type:this.type,data:this._data})},z.prototype.hasTransition=function(){return!1},z}(i.Evented),Me=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),ke=function(Y){function z(K,O,$,pe){Y.call(this),this.id=K,this.dispatcher=$,this.coordinates=O.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(pe),this.options=O}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(O,$){var pe=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,i.getImage(this.map._requestManager.transformRequest(this.url,i.ResourceType.Image),function(de,Ie){pe._loaded=!0,de?pe.fire(new i.ErrorEvent(de)):Ie&&(pe.image=Ie,O&&(pe.coordinates=O),$&&$(),pe._finishLoading())})},z.prototype.loaded=function(){return this._loaded},z.prototype.updateImage=function(O){var $=this;return!this.image||!O.url?this:(this.options.url=O.url,this.load(O.coordinates,function(){$.texture=null}),this)},z.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.setCoordinates=function(O){var $=this;this.coordinates=O;var pe=O.map(i.MercatorCoordinate.fromLngLat);this.tileID=ge(pe),this.minzoom=this.maxzoom=this.tileID.z;var de=pe.map(function(Ie){return $.tileID.getTilePoint(Ie)._round()});return this._boundsArray=new i.StructArrayLayout4i8,this._boundsArray.emplaceBack(de[0].x,de[0].y,0,0),this._boundsArray.emplaceBack(de[1].x,de[1].y,i.EXTENT,0),this._boundsArray.emplaceBack(de[3].x,de[3].y,0,i.EXTENT),this._boundsArray.emplaceBack(de[2].x,de[2].y,i.EXTENT,i.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},z.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var O=this.map.painter.context,$=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new i.Texture(O,this.image,$.RGBA),this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE));for(var pe in this.tiles){var de=this.tiles[pe];de.state!==\"loaded\"&&(de.state=\"loaded\",de.texture=this.texture)}}},z.prototype.loadTile=function(O,$){this.tileID&&this.tileID.equals(O.tileID.canonical)?(this.tiles[String(O.tileID.wrap)]=O,O.buckets={},$(null)):(O.state=\"errored\",$(null))},z.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},z.prototype.hasTransition=function(){return!1},z}(i.Evented);function ge(Y){for(var z=1/0,K=1/0,O=-1/0,$=-1/0,pe=0,de=Y;pe<de.length;pe+=1){var Ie=de[pe];z=Math.min(z,Ie.x),K=Math.min(K,Ie.y),O=Math.max(O,Ie.x),$=Math.max($,Ie.y)}var $e=O-z,pt=$-K,Kt=Math.max($e,pt),ir=Math.max(0,Math.floor(-Math.log(Kt)/Math.LN2)),Jt=Math.pow(2,ir);return new i.CanonicalTileID(ir,Math.floor((z+O)/2*Jt),Math.floor((K+$)/2*Jt))}var ie=function(Y){function z(K,O,$,pe){Y.call(this,K,O,$,pe),this.roundZoom=!0,this.type=\"video\",this.options=O}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){var O=this;this._loaded=!1;var $=this.options;this.urls=[];for(var pe=0,de=$.urls;pe<de.length;pe+=1){var Ie=de[pe];this.urls.push(this.map._requestManager.transformRequest(Ie,i.ResourceType.Source).url)}i.getVideo(this.urls,function($e,pt){O._loaded=!0,$e?O.fire(new i.ErrorEvent($e)):pt&&(O.video=pt,O.video.loop=!0,O.video.addEventListener(\"playing\",function(){O.map.triggerRepaint()}),O.map&&O.video.play(),O._finishLoading())})},z.prototype.pause=function(){this.video&&this.video.pause()},z.prototype.play=function(){this.video&&this.video.play()},z.prototype.seek=function(O){if(this.video){var $=this.video.seekable;O<$.start(0)||O>$.end(0)?this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+$.start(0)+\" and \"+$.end(0)+\"-second mark.\"))):this.video.currentTime=O}},z.prototype.getVideo=function(){return this.video},z.prototype.onAdd=function(O){this.map||(this.map=O,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},z.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var O=this.map.painter.context,$=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE),$.texSubImage2D($.TEXTURE_2D,0,0,0,$.RGBA,$.UNSIGNED_BYTE,this.video)):(this.texture=new i.Texture(O,this.video,$.RGBA),this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE));for(var pe in this.tiles){var de=this.tiles[pe];de.state!==\"loaded\"&&(de.state=\"loaded\",de.texture=this.texture)}}},z.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},z.prototype.hasTransition=function(){return this.video&&!this.video.paused},z}(ke),Te=function(Y){function z(K,O,$,pe){Y.call(this,K,O,$,pe),O.coordinates?(!Array.isArray(O.coordinates)||O.coordinates.length!==4||O.coordinates.some(function(de){return!Array.isArray(de)||de.length!==2||de.some(function(Ie){return typeof Ie!=\"number\"})}))&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'missing required property \"coordinates\"'))),O.animate&&typeof O.animate!=\"boolean\"&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'optional \"animate\" property must be a boolean value'))),O.canvas?typeof O.canvas!=\"string\"&&!(O.canvas instanceof i.window.HTMLCanvasElement)&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'missing required property \"canvas\"'))),this.options=O,this.animate=O.animate!==void 0?O.animate:!0}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof i.window.HTMLCanvasElement?this.options.canvas:i.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new i.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},z.prototype.getCanvas=function(){return this.canvas},z.prototype.onAdd=function(O){this.map=O,this.load(),this.canvas&&this.animate&&this.play()},z.prototype.onRemove=function(){this.pause()},z.prototype.prepare=function(){var O=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,O=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,O=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var $=this.map.painter.context,pe=$.gl;this.boundsBuffer||(this.boundsBuffer=$.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(O||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new i.Texture($,this.canvas,pe.RGBA,{premultiply:!0});for(var de in this.tiles){var Ie=this.tiles[de];Ie.state!==\"loaded\"&&(Ie.state=\"loaded\",Ie.texture=this.texture)}}},z.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},z.prototype.hasTransition=function(){return this._playing},z.prototype._hasInvalidDimensions=function(){for(var O=0,$=[this.canvas.width,this.canvas.height];O<$.length;O+=1){var pe=$[O];if(isNaN(pe)||pe<=0)return!0}return!1},z}(ke),Ee={vector:W,raster:re,\"raster-dem\":ae,geojson:_e,video:ie,image:ke,canvas:Te},Ae=function(Y,z,K,O){var $=new Ee[z.type](Y,z,K,O);if($.id!==Y)throw new Error(\"Expected Source id to be \"+Y+\" instead of \"+$.id);return i.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],$),$},ze=function(Y){return Ee[Y]},Ce=function(Y,z){Ee[Y]=z};function me(Y,z){var K=i.identity([]);return i.translate(K,K,[1,1,0]),i.scale(K,K,[Y.width*.5,Y.height*.5,1]),i.multiply(K,K,Y.calculatePosMatrix(z.toUnwrapped()))}function Re(Y,z,K){if(Y)for(var O=0,$=Y;O<$.length;O+=1){var pe=$[O],de=z[pe];if(de&&de.source===K&&de.type===\"fill-extrusion\")return!0}else for(var Ie in z){var $e=z[Ie];if($e.source===K&&$e.type===\"fill-extrusion\")return!0}return!1}function ce(Y,z,K,O,$,pe){var de=Re($&&$.layers,z,Y.id),Ie=pe.maxPitchScaleFactor(),$e=Y.tilesIn(O,Ie,de);$e.sort(ct);for(var pt=[],Kt=0,ir=$e;Kt<ir.length;Kt+=1){var Jt=ir[Kt];pt.push({wrappedTileID:Jt.tileID.wrapped().key,queryResults:Jt.tile.queryRenderedFeatures(z,K,Y._state,Jt.queryGeometry,Jt.cameraQueryGeometry,Jt.scale,$,pe,Ie,me(Y.transform,Jt.tileID))})}var vt=qt(pt);for(var Pt in vt)vt[Pt].forEach(function(Wt){var rr=Wt.feature,dr=Y.getFeatureState(rr.layer[\"source-layer\"],rr.id);rr.source=rr.layer.source,rr.layer[\"source-layer\"]&&(rr.sourceLayer=rr.layer[\"source-layer\"]),rr.state=dr});return vt}function Ge(Y,z,K,O,$,pe,de){for(var Ie={},$e=pe.queryRenderedSymbols(O),pt=[],Kt=0,ir=Object.keys($e).map(Number);Kt<ir.length;Kt+=1){var Jt=ir[Kt];pt.push(de[Jt])}pt.sort(ct);for(var vt=function(){var pr=Wt[Pt],kr=pr.featureIndex.lookupSymbolFeatures($e[pr.bucketInstanceId],z,pr.bucketIndex,pr.sourceLayerIndex,$.filter,$.layers,$.availableImages,Y);for(var Ar in kr){var gr=Ie[Ar]=Ie[Ar]||[],Cr=kr[Ar];Cr.sort(function(yi,tn){var Ri=pr.featureSortOrder;if(Ri){var ln=Ri.indexOf(yi.featureIndex),Qn=Ri.indexOf(tn.featureIndex);return Qn-ln}else 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Qr(this),this.extTextureFilterAnisotropic=z.getExtension(\"EXT_texture_filter_anisotropic\")||z.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||z.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=z.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=z.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(z.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=z.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=z.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=z.getParameter(z.MAX_TEXTURE_SIZE)};Fr.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Fr.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Fr.prototype.createIndexBuffer=function(z,K){return new ot(this,z,K)},Fr.prototype.createVertexBuffer=function(z,K,O){return new kt(this,z,K,O)},Fr.prototype.createRenderbuffer=function(z,K,O){var $=this.gl,pe=$.createRenderbuffer();return this.bindRenderbuffer.set(pe),$.renderbufferStorage($.RENDERBUFFER,z,K,O),this.bindRenderbuffer.set(null),pe},Fr.prototype.createFramebuffer=function(z,K,O){return new bi(this,z,K,O)},Fr.prototype.clear=function(z){var K=z.color,O=z.depth,$=this.gl,pe=0;K&&(pe|=$.COLOR_BUFFER_BIT,this.clearColor.set(K),this.colorMask.set([!0,!0,!0,!0])),typeof O!=\"undefined\"&&(pe|=$.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(O),this.depthMask.set(!0)),$.clear(pe)},Fr.prototype.setCullFace=function(z){z.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(z.mode),this.frontFace.set(z.frontFace))},Fr.prototype.setDepthMode=function(z){z.func===this.gl.ALWAYS&&!z.mask?this.depthTest.set(!1):(this.depthTest.set(!0),this.depthFunc.set(z.func),this.depthMask.set(z.mask),this.depthRange.set(z.range))},Fr.prototype.setStencilMode=function(z){z.test.func===this.gl.ALWAYS&&!z.mask?this.stencilTest.set(!1):(this.stencilTest.set(!0),this.stencilMask.set(z.mask),this.stencilOp.set([z.fail,z.depthFail,z.pass]),this.stencilFunc.set({func:z.test.func,ref:z.ref,mask:z.test.mask}))},Fr.prototype.setColorMode=function(z){i.deepEqual(z.blendFunction,ft.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(z.blendFunction),this.blendColor.set(z.blendColor)),this.colorMask.set(z.mask)},Fr.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Zr=function(Y){function z(K,O,$){var pe=this;Y.call(this),this.id=K,this.dispatcher=$,this.on(\"data\",function(de){de.dataType===\"source\"&&de.sourceDataType===\"metadata\"&&(pe._sourceLoaded=!0),pe._sourceLoaded&&!pe._paused&&de.dataType===\"source\"&&de.sourceDataType===\"content\"&&(pe.reload(),pe.transform&&pe.update(pe.transform))}),this.on(\"error\",function(){pe._sourceErrored=!0}),this._source=Ae(K,O,$,this),this._tiles={},this._cache=new rt(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new i.SourceFeatureState}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.onAdd=function(O){this.map=O,this._maxTileCacheSize=O?O._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(O)},z.prototype.onRemove=function(O){this._source&&this._source.onRemove&&this._source.onRemove(O)},z.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;for(var O in this._tiles){var $=this._tiles[O];if($.state!==\"loaded\"&&$.state!==\"errored\")return!1}return!0},z.prototype.getSource=function(){return this._source},z.prototype.pause=function(){this._paused=!0},z.prototype.resume=function(){if(this._paused){var O=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,O&&this.reload(),this.transform&&this.update(this.transform)}},z.prototype._loadTile=function(O,$){return this._source.loadTile(O,$)},z.prototype._unloadTile=function(O){if(this._source.unloadTile)return this._source.unloadTile(O,function(){})},z.prototype._abortTile=function(O){if(this._source.abortTile)return this._source.abortTile(O,function(){})},z.prototype.serialize=function(){return this._source.serialize()},z.prototype.prepare=function(O){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(var $ in this._tiles){var pe=this._tiles[$];pe.upload(O),pe.prepare(this.map.style.imageManager)}},z.prototype.getIds=function(){return i.values(this._tiles).map(function(O){return O.tileID}).sort(Vr).map(function(O){return O.key})},z.prototype.getRenderableIds=function(O){var $=this,pe=[];for(var de in this._tiles)this._isIdRenderable(de,O)&&pe.push(this._tiles[de]);return O?pe.sort(function(Ie,$e){var pt=Ie.tileID,Kt=$e.tileID,ir=new i.Point(pt.canonical.x,pt.canonical.y)._rotate($.transform.angle),Jt=new i.Point(Kt.canonical.x,Kt.canonical.y)._rotate($.transform.angle);return pt.overscaledZ-Kt.overscaledZ||Jt.y-ir.y||Jt.x-ir.x}).map(function(Ie){return Ie.tileID.key}):pe.map(function(Ie){return Ie.tileID}).sort(Vr).map(function(Ie){return Ie.key})},z.prototype.hasRenderableParent=function(O){var $=this.findLoadedParent(O,0);return $?this._isIdRenderable($.tileID.key):!1},z.prototype._isIdRenderable=function(O,$){return this._tiles[O]&&this._tiles[O].hasData()&&!this._coveredTiles[O]&&($||!this._tiles[O].holdingForFade())},z.prototype.reload=function(){if(this._paused){this._shouldReloadOnResume=!0;return}this._cache.reset();for(var O in this._tiles)this._tiles[O].state!==\"errored\"&&this._reloadTile(O,\"reloading\")},z.prototype._reloadTile=function(O,$){var pe=this._tiles[O];pe&&(pe.state!==\"loading\"&&(pe.state=$),this._loadTile(pe,this._tileLoaded.bind(this,pe,O,$)))},z.prototype._tileLoaded=function(O,$,pe,de){if(de){O.state=\"errored\",de.status!==404?this._source.fire(new i.ErrorEvent(de,{tile:O})):this.update(this.transform);return}O.timeAdded=i.browser.now(),pe===\"expired\"&&(O.refreshedUponExpiration=!0),this._setTileReloadTimer($,O),this.getSource().type===\"raster-dem\"&&O.dem&&this._backfillDEM(O),this._state.initializeTileState(O,this.map?this.map.painter:null),this._source.fire(new i.Event(\"data\",{dataType:\"source\",tile:O,coord:O.tileID}))},z.prototype._backfillDEM=function(O){for(var $=this.getRenderableIds(),pe=0;pe<$.length;pe++){var de=$[pe];if(O.neighboringTiles&&O.neighboringTiles[de]){var Ie=this.getTileByID(de);$e(O,Ie),$e(Ie,O)}}function $e(pt,Kt){pt.needsHillshadePrepare=!0;var ir=Kt.tileID.canonical.x-pt.tileID.canonical.x,Jt=Kt.tileID.canonical.y-pt.tileID.canonical.y,vt=Math.pow(2,pt.tileID.canonical.z),Pt=Kt.tileID.key;ir===0&&Jt===0||Math.abs(Jt)>1||(Math.abs(ir)>1&&(Math.abs(ir+vt)===1?ir+=vt:Math.abs(ir-vt)===1&&(ir-=vt)),!(!Kt.dem||!pt.dem)&&(pt.dem.backfillBorder(Kt.dem,ir,Jt),pt.neighboringTiles&&pt.neighboringTiles[Pt]&&(pt.neighboringTiles[Pt].backfilled=!0)))}},z.prototype.getTile=function(O){return this.getTileByID(O.key)},z.prototype.getTileByID=function(O){return this._tiles[O]},z.prototype._retainLoadedChildren=function(O,$,pe,de){for(var Ie in this._tiles){var $e=this._tiles[Ie];if(!(de[Ie]||!$e.hasData()||$e.tileID.overscaledZ<=$||$e.tileID.overscaledZ>pe)){for(var pt=$e.tileID;$e&&$e.tileID.overscaledZ>$+1;){var Kt=$e.tileID.scaledTo($e.tileID.overscaledZ-1);$e=this._tiles[Kt.key],$e&&$e.hasData()&&(pt=Kt)}for(var ir=pt;ir.overscaledZ>$;)if(ir=ir.scaledTo(ir.overscaledZ-1),O[ir.key]){de[pt.key]=pt;break}}}},z.prototype.findLoadedParent=function(O,$){if(O.key in this._loadedParentTiles){var pe=this._loadedParentTiles[O.key];return pe&&pe.tileID.overscaledZ>=$?pe:null}for(var de=O.overscaledZ-1;de>=$;de--){var Ie=O.scaledTo(de),$e=this._getLoadedTile(Ie);if($e)return $e}},z.prototype._getLoadedTile=function(O){var $=this._tiles[O.key];if($&&$.hasData())return $;var pe=this._cache.getByKey(O.wrapped().key);return pe},z.prototype.updateCacheSize=function(O){var $=Math.ceil(O.width/this._source.tileSize)+1,pe=Math.ceil(O.height/this._source.tileSize)+1,de=$*pe,Ie=5,$e=Math.floor(de*Ie),pt=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,$e):$e;this._cache.setMaxSize(pt)},z.prototype.handleWrapJump=function(O){var $=this._prevLng===void 0?O:this._prevLng,pe=O-$,de=pe/360,Ie=Math.round(de);if(this._prevLng=O,Ie){var $e={};for(var pt in this._tiles){var Kt=this._tiles[pt];Kt.tileID=Kt.tileID.unwrapTo(Kt.tileID.wrap+Ie),$e[Kt.tileID.key]=Kt}this._tiles=$e;for(var ir in this._timers)clearTimeout(this._timers[ir]),delete this._timers[ir];for(var Jt in this._tiles){var vt=this._tiles[Jt];this._setTileReloadTimer(Jt,vt)}}},z.prototype.update=function(O){var $=this;if(this.transform=O,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(O),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var pe;this.used?this._source.tileID?pe=O.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(yi){return new i.OverscaledTileID(yi.canonical.z,yi.wrap,yi.canonical.z,yi.canonical.x,yi.canonical.y)}):(pe=O.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(pe=pe.filter(function(yi){return $._source.hasTile(yi)}))):pe=[];var de=O.coveringZoomLevel(this._source),Ie=Math.max(de-z.maxOverzooming,this._source.minzoom),$e=Math.max(de+z.maxUnderzooming,this._source.minzoom),pt=this._updateRetainedTiles(pe,de);if(gi(this._source.type)){for(var Kt={},ir={},Jt=Object.keys(pt),vt=0,Pt=Jt;vt<Pt.length;vt+=1){var Wt=Pt[vt],rr=pt[Wt],dr=this._tiles[Wt];if(!(!dr||dr.fadeEndTime&&dr.fadeEndTime<=i.browser.now())){var pr=this.findLoadedParent(rr,Ie);pr&&(this._addTile(pr.tileID),Kt[pr.tileID.key]=pr.tileID),ir[Wt]=rr}}this._retainLoadedChildren(ir,de,$e,pt);for(var kr in Kt)pt[kr]||(this._coveredTiles[kr]=!0,pt[kr]=Kt[kr])}for(var Ar in pt)this._tiles[Ar].clearFadeHold();for(var gr=i.keysDifference(this._tiles,pt),Cr=0,cr=gr;Cr<cr.length;Cr+=1){var Gr=cr[Cr],ei=this._tiles[Gr];ei.hasSymbolBuckets&&!ei.holdingForFade()?ei.setHoldDuration(this.map._fadeDuration):(!ei.hasSymbolBuckets||ei.symbolFadeFinished())&&this._removeTile(Gr)}this._updateLoadedParentTileCache()}},z.prototype.releaseSymbolFadeTiles=function(){for(var O in this._tiles)this._tiles[O].holdingForFade()&&this._removeTile(O)},z.prototype._updateRetainedTiles=function(O,$){for(var pe={},de={},Ie=Math.max($-z.maxOverzooming,this._source.minzoom),$e=Math.max($+z.maxUnderzooming,this._source.minzoom),pt={},Kt=0,ir=O;Kt<ir.length;Kt+=1){var Jt=ir[Kt],vt=this._addTile(Jt);pe[Jt.key]=Jt,!vt.hasData()&&$<this._source.maxzoom&&(pt[Jt.key]=Jt)}this._retainLoadedChildren(pt,$,$e,pe);for(var Pt=0,Wt=O;Pt<Wt.length;Pt+=1){var rr=Wt[Pt],dr=this._tiles[rr.key];if(!dr.hasData()){if($+1>this._source.maxzoom){var pr=rr.children(this._source.maxzoom)[0],kr=this.getTile(pr);if(kr&&kr.hasData()){pe[pr.key]=pr;continue}}else{var Ar=rr.children(this._source.maxzoom);if(pe[Ar[0].key]&&pe[Ar[1].key]&&pe[Ar[2].key]&&pe[Ar[3].key])continue}for(var gr=dr.wasRequested(),Cr=rr.overscaledZ-1;Cr>=Ie;--Cr){var cr=rr.scaledTo(Cr);if(de[cr.key]||(de[cr.key]=!0,dr=this.getTile(cr),!dr&&gr&&(dr=this._addTile(cr)),dr&&(pe[cr.key]=cr,gr=dr.wasRequested(),dr.hasData())))break}}}return pe},z.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var O in this._tiles){for(var $=[],pe=void 0,de=this._tiles[O].tileID;de.overscaledZ>0;){if(de.key in this._loadedParentTiles){pe=this._loadedParentTiles[de.key];break}$.push(de.key);var Ie=de.scaledTo(de.overscaledZ-1);if(pe=this._getLoadedTile(Ie),pe)break;de=Ie}for(var $e=0,pt=$;$e<pt.length;$e+=1){var Kt=pt[$e];this._loadedParentTiles[Kt]=pe}}},z.prototype._addTile=function(O){var $=this._tiles[O.key];if($)return $;$=this._cache.getAndRemove(O),$&&(this._setTileReloadTimer(O.key,$),$.tileID=O,this._state.initializeTileState($,this.map?this.map.painter:null),this._cacheTimers[O.key]&&(clearTimeout(this._cacheTimers[O.key]),delete this._cacheTimers[O.key],this._setTileReloadTimer(O.key,$)));var pe=!!$;return pe||($=new i.Tile(O,this._source.tileSize*O.overscaleFactor()),this._loadTile($,this._tileLoaded.bind(this,$,O.key,$.state))),$?($.uses++,this._tiles[O.key]=$,pe||this._source.fire(new i.Event(\"dataloading\",{tile:$,coord:$.tileID,dataType:\"source\"})),$):null},z.prototype._setTileReloadTimer=function(O,$){var pe=this;O in this._timers&&(clearTimeout(this._timers[O]),delete this._timers[O]);var de=$.getExpiryTimeout();de&&(this._timers[O]=setTimeout(function(){pe._reloadTile(O,\"expired\"),delete pe._timers[O]},de))},z.prototype._removeTile=function(O){var $=this._tiles[O];$&&($.uses--,delete this._tiles[O],this._timers[O]&&(clearTimeout(this._timers[O]),delete this._timers[O]),!($.uses>0)&&($.hasData()&&$.state!==\"reloading\"?this._cache.add($.tileID,$,$.getExpiryTimeout()):($.aborted=!0,this._abortTile($),this._unloadTile($))))},z.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var O in this._tiles)this._removeTile(O);this._cache.reset()},z.prototype.tilesIn=function(O,$,pe){var de=this,Ie=[],$e=this.transform;if(!$e)return Ie;for(var pt=pe?$e.getCameraQueryGeometry(O):O,Kt=O.map(function(Cr){return $e.pointCoordinate(Cr)}),ir=pt.map(function(Cr){return $e.pointCoordinate(Cr)}),Jt=this.getIds(),vt=1/0,Pt=1/0,Wt=-1/0,rr=-1/0,dr=0,pr=ir;dr<pr.length;dr+=1){var kr=pr[dr];vt=Math.min(vt,kr.x),Pt=Math.min(Pt,kr.y),Wt=Math.max(Wt,kr.x),rr=Math.max(rr,kr.y)}for(var Ar=function(Cr){var cr=de._tiles[Jt[Cr]];if(!cr.holdingForFade()){var Gr=cr.tileID,ei=Math.pow(2,$e.zoom-cr.tileID.overscaledZ),yi=$*cr.queryPadding*i.EXTENT/cr.tileSize/ei,tn=[Gr.getTilePoint(new i.MercatorCoordinate(vt,Pt)),Gr.getTilePoint(new i.MercatorCoordinate(Wt,rr))];if(tn[0].x-yi<i.EXTENT&&tn[0].y-yi<i.EXTENT&&tn[1].x+yi>=0&&tn[1].y+yi>=0){var Ri=Kt.map(function(Qn){return Gr.getTilePoint(Qn)}),ln=ir.map(function(Qn){return Gr.getTilePoint(Qn)});Ie.push({tile:cr,tileID:Gr,queryGeometry:Ri,cameraQueryGeometry:ln,scale:ei})}}},gr=0;gr<Jt.length;gr++)Ar(gr);return Ie},z.prototype.getVisibleCoordinates=function(O){for(var $=this,pe=this.getRenderableIds(O).map(function(pt){return $._tiles[pt].tileID}),de=0,Ie=pe;de<Ie.length;de+=1){var $e=Ie[de];$e.posMatrix=this.transform.calculatePosMatrix($e.toUnwrapped())}return pe},z.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(gi(this._source.type))for(var O in this._tiles){var $=this._tiles[O];if($.fadeEndTime!==void 0&&$.fadeEndTime>=i.browser.now())return!0}return!1},z.prototype.setFeatureState=function(O,$,pe){O=O||\"_geojsonTileLayer\",this._state.updateState(O,$,pe)},z.prototype.removeFeatureState=function(O,$,pe){O=O||\"_geojsonTileLayer\",this._state.removeFeatureState(O,$,pe)},z.prototype.getFeatureState=function(O,$){return O=O||\"_geojsonTileLayer\",this._state.getState(O,$)},z.prototype.setDependencies=function(O,$,pe){var de=this._tiles[O];de&&de.setDependencies($,pe)},z.prototype.reloadTilesForDependencies=function(O,$){for(var pe in this._tiles){var de=this._tiles[pe];de.hasDependency(O,$)&&this._reloadTile(pe,\"reloading\")}this._cache.filter(function(Ie){return!Ie.hasDependency(O,$)})},z}(i.Evented);Zr.maxOverzooming=10,Zr.maxUnderzooming=3;function Vr(Y,z){var K=Math.abs(Y.wrap*2)-+(Y.wrap<0),O=Math.abs(z.wrap*2)-+(z.wrap<0);return Y.overscaledZ-z.overscaledZ||O-K||z.canonical.y-Y.canonical.y||z.canonical.x-Y.canonical.x}function gi(Y){return Y===\"raster\"||Y===\"image\"||Y===\"video\"}function Si(){return new i.window.Worker(ns.workerUrl)}var Mi=\"mapboxgl_preloaded_worker_pool\",Pi=function(){this.active={}};Pi.prototype.acquire=function(z){if(!this.workers)for(this.workers=[];this.workers.length<Pi.workerCount;)this.workers.push(new Si);return this.active[z]=!0,this.workers.slice()},Pi.prototype.release=function(z){delete this.active[z],this.numActive()===0&&(this.workers.forEach(function(K){K.terminate()}),this.workers=null)},Pi.prototype.isPreloaded=function(){return!!this.active[Mi]},Pi.prototype.numActive=function(){return Object.keys(this.active).length};var Gi=Math.floor(i.browser.hardwareConcurrency/2);Pi.workerCount=Math.max(Math.min(Gi,6),1);var Ki;function ka(){return Ki||(Ki=new Pi),Ki}function jn(){var Y=ka();Y.acquire(Mi)}function la(){var Y=Ki;Y&&(Y.isPreloaded()&&Y.numActive()===1?(Y.release(Mi),Ki=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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oa={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Sn(Y,z,K){K.push({command:oa.addSource,args:[Y,z[Y]]})}function Ha(Y,z,K){z.push({command:oa.removeSource,args:[Y]}),K[Y]=!0}function oo(Y,z,K,O){Ha(Y,K,O),Sn(Y,z,K)}function xn(Y,z,K){var O;for(O in Y[K])if(Y[K].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[K][O],z[K][O]))return!1;for(O in z[K])if(z[K].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[K][O],z[K][O]))return!1;return!0}function _t(Y,z,K,O){Y=Y||{},z=z||{};var $;for($ in Y)Y.hasOwnProperty($)&&(z.hasOwnProperty($)||Ha($,K,O));for($ in z)z.hasOwnProperty($)&&(Y.hasOwnProperty($)?i.deepEqual(Y[$],z[$])||(Y[$].type===\"geojson\"&&z[$].type===\"geojson\"&&xn(Y,z,$)?K.push({command:oa.setGeoJSONSourceData,args:[$,z[$].data]}):oo($,z,K,O)):Sn($,z,K))}function br(Y,z,K,O,$,pe){Y=Y||{},z=z||{};var de;for(de in Y)Y.hasOwnProperty(de)&&(i.deepEqual(Y[de],z[de])||K.push({command:pe,args:[O,de,z[de],$]}));for(de in z)!z.hasOwnProperty(de)||Y.hasOwnProperty(de)||i.deepEqual(Y[de],z[de])||K.push({command:pe,args:[O,de,z[de],$]})}function Hr(Y){return Y.id}function ti(Y,z){return Y[z.id]=z,Y}function zi(Y,z,K){Y=Y||[],z=z||[];var O=Y.map(Hr),$=z.map(Hr),pe=Y.reduce(ti,{}),de=z.reduce(ti,{}),Ie=O.slice(),$e=Object.create(null),pt,Kt,ir,Jt,vt,Pt,Wt;for(pt=0,Kt=0;pt<O.length;pt++)ir=O[pt],de.hasOwnProperty(ir)?Kt++:(K.push({command:oa.removeLayer,args:[ir]}),Ie.splice(Ie.indexOf(ir,Kt),1));for(pt=0,Kt=0;pt<$.length;pt++)ir=$[$.length-1-pt],Ie[Ie.length-1-pt]!==ir&&(pe.hasOwnProperty(ir)?(K.push({command:oa.removeLayer,args:[ir]}),Ie.splice(Ie.lastIndexOf(ir,Ie.length-Kt),1)):Kt++,Pt=Ie[Ie.length-pt],K.push({command:oa.addLayer,args:[de[ir],Pt]}),Ie.splice(Ie.length-pt,0,ir),$e[ir]=!0);for(pt=0;pt<$.length;pt++)if(ir=$[pt],Jt=pe[ir],vt=de[ir],!($e[ir]||i.deepEqual(Jt,vt))){if(!i.deepEqual(Jt.source,vt.source)||!i.deepEqual(Jt[\"source-layer\"],vt[\"source-layer\"])||!i.deepEqual(Jt.type,vt.type)){K.push({command:oa.removeLayer,args:[ir]}),Pt=Ie[Ie.lastIndexOf(ir)+1],K.push({command:oa.addLayer,args:[vt,Pt]});continue}br(Jt.layout,vt.layout,K,ir,null,oa.setLayoutProperty),br(Jt.paint,vt.paint,K,ir,null,oa.setPaintProperty),i.deepEqual(Jt.filter,vt.filter)||K.push({command:oa.setFilter,args:[ir,vt.filter]}),(!i.deepEqual(Jt.minzoom,vt.minzoom)||!i.deepEqual(Jt.maxzoom,vt.maxzoom))&&K.push({command:oa.setLayerZoomRange,args:[ir,vt.minzoom,vt.maxzoom]});for(Wt in Jt)Jt.hasOwnProperty(Wt)&&(Wt===\"layout\"||Wt===\"paint\"||Wt===\"filter\"||Wt===\"metadata\"||Wt===\"minzoom\"||Wt===\"maxzoom\"||(Wt.indexOf(\"paint.\")===0?br(Jt[Wt],vt[Wt],K,ir,Wt.slice(6),oa.setPaintProperty):i.deepEqual(Jt[Wt],vt[Wt])||K.push({command:oa.setLayerProperty,args:[ir,Wt,vt[Wt]]})));for(Wt in vt)!vt.hasOwnProperty(Wt)||Jt.hasOwnProperty(Wt)||Wt===\"layout\"||Wt===\"paint\"||Wt===\"filter\"||Wt===\"metadata\"||Wt===\"minzoom\"||Wt===\"maxzoom\"||(Wt.indexOf(\"paint.\")===0?br(Jt[Wt],vt[Wt],K,ir,Wt.slice(6),oa.setPaintProperty):i.deepEqual(Jt[Wt],vt[Wt])||K.push({command:oa.setLayerProperty,args:[ir,Wt,vt[Wt]]}))}}function Yi(Y,z){if(!Y)return[{command:oa.setStyle,args:[z]}];var K=[];try{if(!i.deepEqual(Y.version,z.version))return[{command:oa.setStyle,args:[z]}];i.deepEqual(Y.center,z.center)||K.push({command:oa.setCenter,args:[z.center]}),i.deepEqual(Y.zoom,z.zoom)||K.push({command:oa.setZoom,args:[z.zoom]}),i.deepEqual(Y.bearing,z.bearing)||K.push({command:oa.setBearing,args:[z.bearing]}),i.deepEqual(Y.pitch,z.pitch)||K.push({command:oa.setPitch,args:[z.pitch]}),i.deepEqual(Y.sprite,z.sprite)||K.push({command:oa.setSprite,args:[z.sprite]}),i.deepEqual(Y.glyphs,z.glyphs)||K.push({command:oa.setGlyphs,args:[z.glyphs]}),i.deepEqual(Y.transition,z.transition)||K.push({command:oa.setTransition,args:[z.transition]}),i.deepEqual(Y.light,z.light)||K.push({command:oa.setLight,args:[z.light]});var O={},$=[];_t(Y.sources,z.sources,$,O);var pe=[];Y.layers&&Y.layers.forEach(function(de){O[de.source]?K.push({command:oa.removeLayer,args:[de.id]}):pe.push(de)}),K=K.concat($),zi(pe,z.layers,K)}catch(de){console.warn(\"Unable to compute style diff:\",de),K=[{command:oa.setStyle,args:[z]}]}return K}var an=function(z,K){this.reset(z,K)};an.prototype.reset=function(z,K){this.points=z||[],this._distances=[0];for(var O=1;O<this.points.length;O++)this._distances[O]=this._distances[O-1]+this.points[O].dist(this.points[O-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(K||0,this.length*.5),this.paddedLength=this.length-this.padding*2},an.prototype.lerp=function(z){if(this.points.length===1)return this.points[0];z=i.clamp(z,0,1);for(var K=1,O=this._distances[K],$=z*this.paddedLength+this.padding;O<$&&K<this._distances.length;)O=this._distances[++K];var pe=K-1,de=this._distances[pe],Ie=O-de,$e=Ie>0?($-de)/Ie:0;return this.points[pe].mult(1-$e).add(this.points[K].mult($e))};var hi=function(z,K,O){var $=this.boxCells=[],pe=this.circleCells=[];this.xCellCount=Math.ceil(z/O),this.yCellCount=Math.ceil(K/O);for(var de=0;de<this.xCellCount*this.yCellCount;de++)$.push([]),pe.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=z,this.height=K,this.xScale=this.xCellCount/z,this.yScale=this.yCellCount/K,this.boxUid=0,this.circleUid=0};hi.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},hi.prototype.insert=function(z,K,O,$,pe){this._forEachCell(K,O,$,pe,this._insertBoxCell,this.boxUid++),this.boxKeys.push(z),this.bboxes.push(K),this.bboxes.push(O),this.bboxes.push($),this.bboxes.push(pe)},hi.prototype.insertCircle=function(z,K,O,$){this._forEachCell(K-$,O-$,K+$,O+$,this._insertCircleCell,this.circleUid++),this.circleKeys.push(z),this.circles.push(K),this.circles.push(O),this.circles.push($)},hi.prototype._insertBoxCell=function(z,K,O,$,pe,de){this.boxCells[pe].push(de)},hi.prototype._insertCircleCell=function(z,K,O,$,pe,de){this.circleCells[pe].push(de)},hi.prototype._query=function(z,K,O,$,pe,de){if(O<0||z>this.width||$<0||K>this.height)return pe?!1:[];var Ie=[];if(z<=0&&K<=0&&this.width<=O&&this.height<=$){if(pe)return!0;for(var $e=0;$e<this.boxKeys.length;$e++)Ie.push({key:this.boxKeys[$e],x1:this.bboxes[$e*4],y1:this.bboxes[$e*4+1],x2:this.bboxes[$e*4+2],y2:this.bboxes[$e*4+3]});for(var pt=0;pt<this.circleKeys.length;pt++){var Kt=this.circles[pt*3],ir=this.circles[pt*3+1],Jt=this.circles[pt*3+2];Ie.push({key:this.circleKeys[pt],x1:Kt-Jt,y1:ir-Jt,x2:Kt+Jt,y2:ir+Jt})}return de?Ie.filter(de):Ie}else{var vt={hitTest:pe,seenUids:{box:{},circle:{}}};return this._forEachCell(z,K,O,$,this._queryCell,Ie,vt,de),pe?Ie.length>0:Ie}},hi.prototype._queryCircle=function(z,K,O,$,pe){var de=z-O,Ie=z+O,$e=K-O,pt=K+O;if(Ie<0||de>this.width||pt<0||$e>this.height)return $?!1:[];var Kt=[],ir={hitTest:$,circle:{x:z,y:K,radius:O},seenUids:{box:{},circle:{}}};return this._forEachCell(de,$e,Ie,pt,this._queryCellCircle,Kt,ir,pe),$?Kt.length>0:Kt},hi.prototype.query=function(z,K,O,$,pe){return this._query(z,K,O,$,!1,pe)},hi.prototype.hitTest=function(z,K,O,$,pe){return this._query(z,K,O,$,!0,pe)},hi.prototype.hitTestCircle=function(z,K,O,$){return this._queryCircle(z,K,O,!0,$)},hi.prototype._queryCell=function(z,K,O,$,pe,de,Ie,$e){var pt=Ie.seenUids,Kt=this.boxCells[pe];if(Kt!==null)for(var ir=this.bboxes,Jt=0,vt=Kt;Jt<vt.length;Jt+=1){var Pt=vt[Jt];if(!pt.box[Pt]){pt.box[Pt]=!0;var Wt=Pt*4;if(z<=ir[Wt+2]&&K<=ir[Wt+3]&&O>=ir[Wt+0]&&$>=ir[Wt+1]&&(!$e||$e(this.boxKeys[Pt]))){if(Ie.hitTest)return de.push(!0),!0;de.push({key:this.boxKeys[Pt],x1:ir[Wt],y1:ir[Wt+1],x2:ir[Wt+2],y2:ir[Wt+3]})}}}var rr=this.circleCells[pe];if(rr!==null)for(var dr=this.circles,pr=0,kr=rr;pr<kr.length;pr+=1){var Ar=kr[pr];if(!pt.circle[Ar]){pt.circle[Ar]=!0;var gr=Ar*3;if(this._circleAndRectCollide(dr[gr],dr[gr+1],dr[gr+2],z,K,O,$)&&(!$e||$e(this.circleKeys[Ar]))){if(Ie.hitTest)return de.push(!0),!0;var Cr=dr[gr],cr=dr[gr+1],Gr=dr[gr+2];de.push({key:this.circleKeys[Ar],x1:Cr-Gr,y1:cr-Gr,x2:Cr+Gr,y2:cr+Gr})}}}},hi.prototype._queryCellCircle=function(z,K,O,$,pe,de,Ie,$e){var pt=Ie.circle,Kt=Ie.seenUids,ir=this.boxCells[pe];if(ir!==null)for(var Jt=this.bboxes,vt=0,Pt=ir;vt<Pt.length;vt+=1){var Wt=Pt[vt];if(!Kt.box[Wt]){Kt.box[Wt]=!0;var rr=Wt*4;if(this._circleAndRectCollide(pt.x,pt.y,pt.radius,Jt[rr+0],Jt[rr+1],Jt[rr+2],Jt[rr+3])&&(!$e||$e(this.boxKeys[Wt])))return de.push(!0),!0}}var dr=this.circleCells[pe];if(dr!==null)for(var pr=this.circles,kr=0,Ar=dr;kr<Ar.length;kr+=1){var gr=Ar[kr];if(!Kt.circle[gr]){Kt.circle[gr]=!0;var Cr=gr*3;if(this._circlesCollide(pr[Cr],pr[Cr+1],pr[Cr+2],pt.x,pt.y,pt.radius)&&(!$e||$e(this.circleKeys[gr])))return de.push(!0),!0}}},hi.prototype._forEachCell=function(z,K,O,$,pe,de,Ie,$e){for(var pt=this._convertToXCellCoord(z),Kt=this._convertToYCellCoord(K),ir=this._convertToXCellCoord(O),Jt=this._convertToYCellCoord($),vt=pt;vt<=ir;vt++)for(var Pt=Kt;Pt<=Jt;Pt++){var Wt=this.xCellCount*Pt+vt;if(pe.call(this,z,K,O,$,Wt,de,Ie,$e))return}},hi.prototype._convertToXCellCoord=function(z){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(z*this.xScale)))},hi.prototype._convertToYCellCoord=function(z){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(z*this.yScale)))},hi.prototype._circlesCollide=function(z,K,O,$,pe,de){var Ie=$-z,$e=pe-K,pt=O+de;return pt*pt>Ie*Ie+$e*$e},hi.prototype._circleAndRectCollide=function(z,K,O,$,pe,de,Ie){var $e=(de-$)/2,pt=Math.abs(z-($+$e));if(pt>$e+O)return!1;var Kt=(Ie-pe)/2,ir=Math.abs(K-(pe+Kt));if(ir>Kt+O)return!1;if(pt<=$e||ir<=Kt)return!0;var Jt=pt-$e,vt=ir-Kt;return Jt*Jt+vt*vt<=O*O};function Ji(Y,z,K,O,$){var pe=i.create();return z?(i.scale(pe,pe,[1/$,1/$,1]),K||i.rotateZ(pe,pe,O.angle)):i.multiply(pe,O.labelPlaneMatrix,Y),pe}function ua(Y,z,K,O,$){if(z){var pe=i.clone(Y);return i.scale(pe,pe,[$,$,1]),K||i.rotateZ(pe,pe,-O.angle),pe}else return O.glCoordMatrix}function Fn(Y,z){var K=[Y.x,Y.y,0,1];wl(K,K,z);var O=K[3];return{point:new i.Point(K[0]/O,K[1]/O),signedDistanceFromCamera:O}}function Sa(Y,z){return .5+.5*(Y/z)}function go(Y,z){var K=Y[0]/Y[3],O=Y[1]/Y[3],$=K>=-z[0]&&K<=z[0]&&O>=-z[1]&&O<=z[1];return $}function Oo(Y,z,K,O,$,pe,de,Ie){var $e=O?Y.textSizeData:Y.iconSizeData,pt=i.evaluateSizeForZoom($e,K.transform.zoom),Kt=[256/K.width*2+1,256/K.height*2+1],ir=O?Y.text.dynamicLayoutVertexArray:Y.icon.dynamicLayoutVertexArray;ir.clear();for(var Jt=Y.lineVertexArray,vt=O?Y.text.placedSymbolArray:Y.icon.placedSymbolArray,Pt=K.transform.width/K.transform.height,Wt=!1,rr=0;rr<vt.length;rr++){var dr=vt.get(rr);if(dr.hidden||dr.writingMode===i.WritingMode.vertical&&!Wt){Xs(dr.numGlyphs,ir);continue}Wt=!1;var pr=[dr.anchorX,dr.anchorY,0,1];if(i.transformMat4(pr,pr,z),!go(pr,Kt)){Xs(dr.numGlyphs,ir);continue}var kr=pr[3],Ar=Sa(K.transform.cameraToCenterDistance,kr),gr=i.evaluateSizeForFeature($e,pt,dr),Cr=de?gr/Ar:gr*Ar,cr=new i.Point(dr.anchorX,dr.anchorY),Gr=Fn(cr,$).point,ei={},yi=xo(dr,Cr,!1,Ie,z,$,pe,Y.glyphOffsetArray,Jt,ir,Gr,cr,ei,Pt);Wt=yi.useVertical,(yi.notEnoughRoom||Wt||yi.needsFlipping&&xo(dr,Cr,!0,Ie,z,$,pe,Y.glyphOffsetArray,Jt,ir,Gr,cr,ei,Pt).notEnoughRoom)&&Xs(dr.numGlyphs,ir)}O?Y.text.dynamicLayoutVertexBuffer.updateData(ir):Y.icon.dynamicLayoutVertexBuffer.updateData(ir)}function ho(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt){var ir=Ie.glyphStartIndex+Ie.numGlyphs,Jt=Ie.lineStartIndex,vt=Ie.lineStartIndex+Ie.lineLength,Pt=z.getoffsetX(Ie.glyphStartIndex),Wt=z.getoffsetX(ir-1),rr=ks(Y*Pt,K,O,$,pe,de,Ie.segment,Jt,vt,$e,pt,Kt);if(!rr)return null;var dr=ks(Y*Wt,K,O,$,pe,de,Ie.segment,Jt,vt,$e,pt,Kt);return dr?{first:rr,last:dr}:null}function Mo(Y,z,K,O){if(Y===i.WritingMode.horizontal){var $=Math.abs(K.y-z.y),pe=Math.abs(K.x-z.x)*O;if($>pe)return{useVertical:!0}}return(Y===i.WritingMode.vertical?z.y<K.y:z.x>K.x)?{needsFlipping:!0}:null}function xo(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt){var Pt=z/24,Wt=Y.lineOffsetX*Pt,rr=Y.lineOffsetY*Pt,dr;if(Y.numGlyphs>1){var pr=Y.glyphStartIndex+Y.numGlyphs,kr=Y.lineStartIndex,Ar=Y.lineStartIndex+Y.lineLength,gr=ho(Pt,Ie,Wt,rr,K,Kt,ir,Y,$e,pe,Jt);if(!gr)return{notEnoughRoom:!0};var Cr=Fn(gr.first.point,de).point,cr=Fn(gr.last.point,de).point;if(O&&!K){var Gr=Mo(Y.writingMode,Cr,cr,vt);if(Gr)return Gr}dr=[gr.first];for(var ei=Y.glyphStartIndex+1;ei<pr-1;ei++)dr.push(ks(Pt*Ie.getoffsetX(ei),Wt,rr,K,Kt,ir,Y.segment,kr,Ar,$e,pe,Jt));dr.push(gr.last)}else{if(O&&!K){var yi=Fn(ir,$).point,tn=Y.lineStartIndex+Y.segment+1,Ri=new i.Point($e.getx(tn),$e.gety(tn)),ln=Fn(Ri,$),Qn=ln.signedDistanceFromCamera>0?ln.point:zs(ir,Ri,yi,1,$),qn=Mo(Y.writingMode,yi,Qn,vt);if(qn)return qn}var rn=ks(Pt*Ie.getoffsetX(Y.glyphStartIndex),Wt,rr,K,Kt,ir,Y.segment,Y.lineStartIndex,Y.lineStartIndex+Y.lineLength,$e,pe,Jt);if(!rn)return{notEnoughRoom:!0};dr=[rn]}for(var bn=0,mn=dr;bn<mn.length;bn+=1){var Gn=mn[bn];i.addDynamicAttributes(pt,Gn.point,Gn.angle)}return{}}function zs(Y,z,K,O,$){var pe=Fn(Y.add(Y.sub(z)._unit()),$).point,de=K.sub(pe);return K.add(de._mult(O/de.mag()))}function ks(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt,ir){var Jt=O?Y-z:Y+z,vt=Jt>0?1:-1,Pt=0;O&&(vt*=-1,Pt=Math.PI),vt<0&&(Pt+=Math.PI);for(var Wt=vt>0?Ie+de:Ie+de+1,rr=$,dr=$,pr=0,kr=0,Ar=Math.abs(Jt),gr=[];pr+kr<=Ar;){if(Wt+=vt,Wt<Ie||Wt>=$e)return null;if(dr=rr,gr.push(rr),rr=ir[Wt],rr===void 0){var Cr=new i.Point(pt.getx(Wt),pt.gety(Wt)),cr=Fn(Cr,Kt);if(cr.signedDistanceFromCamera>0)rr=ir[Wt]=cr.point;else{var Gr=Wt-vt,ei=pr===0?pe:new i.Point(pt.getx(Gr),pt.gety(Gr));rr=zs(ei,Cr,dr,Ar-pr+1,Kt)}}pr+=kr,kr=dr.dist(rr)}var yi=(Ar-pr)/kr,tn=rr.sub(dr),Ri=tn.mult(yi)._add(dr);Ri._add(tn._unit()._perp()._mult(K*vt));var ln=Pt+Math.atan2(rr.y-dr.y,rr.x-dr.x);return gr.push(Ri),{point:Ri,angle:ln,path:gr}}var Zs=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Xs(Y,z){for(var K=0;K<Y;K++){var O=z.length;z.resize(O+4),z.float32.set(Zs,O*3)}}function wl(Y,z,K){var O=z[0],$=z[1];return Y[0]=K[0]*O+K[4]*$+K[12],Y[1]=K[1]*O+K[5]*$+K[13],Y[3]=K[3]*O+K[7]*$+K[15],Y}var os=100,cl=function(z,K,O){K===void 0&&(K=new hi(z.width+2*os,z.height+2*os,25)),O===void 0&&(O=new hi(z.width+2*os,z.height+2*os,25)),this.transform=z,this.grid=K,this.ignoredGrid=O,this.pitchfactor=Math.cos(z._pitch)*z.cameraToCenterDistance,this.screenRightBoundary=z.width+os,this.screenBottomBoundary=z.height+os,this.gridRightBoundary=z.width+2*os,this.gridBottomBoundary=z.height+2*os};cl.prototype.placeCollisionBox=function(z,K,O,$,pe){var de=this.projectAndGetPerspectiveRatio($,z.anchorPointX,z.anchorPointY),Ie=O*de.perspectiveRatio,$e=z.x1*Ie+de.point.x,pt=z.y1*Ie+de.point.y,Kt=z.x2*Ie+de.point.x,ir=z.y2*Ie+de.point.y;return!this.isInsideGrid($e,pt,Kt,ir)||!K&&this.grid.hitTest($e,pt,Kt,ir,pe)?{box:[],offscreen:!1}:{box:[$e,pt,Kt,ir],offscreen:this.isOffscreen($e,pt,Kt,ir)}},cl.prototype.placeCollisionCircles=function(z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt){var Pt=[],Wt=new i.Point(K.anchorX,K.anchorY),rr=Fn(Wt,de),dr=Sa(this.transform.cameraToCenterDistance,rr.signedDistanceFromCamera),pr=Kt?pe/dr:pe*dr,kr=pr/i.ONE_EM,Ar=Fn(Wt,Ie).point,gr={},Cr=K.lineOffsetX*kr,cr=K.lineOffsetY*kr,Gr=ho(kr,$,Cr,cr,!1,Ar,Wt,K,O,Ie,gr),ei=!1,yi=!1,tn=!0;if(Gr){for(var Ri=Jt*.5*dr+vt,ln=new i.Point(-os,-os),Qn=new i.Point(this.screenRightBoundary,this.screenBottomBoundary),qn=new an,rn=Gr.first,bn=Gr.last,mn=[],Gn=rn.path.length-1;Gn>=1;Gn--)mn.push(rn.path[Gn]);for(var da=1;da<bn.path.length;da++)mn.push(bn.path[da]);var No=Ri*2.5;if($e){var Do=mn.map(function(Cv){return Fn(Cv,$e)});Do.some(function(Cv){return Cv.signedDistanceFromCamera<=0})?mn=[]:mn=Do.map(function(Cv){return Cv.point})}var ps=[];if(mn.length>0){for(var fo=mn[0].clone(),as=mn[0].clone(),tl=1;tl<mn.length;tl++)fo.x=Math.min(fo.x,mn[tl].x),fo.y=Math.min(fo.y,mn[tl].y),as.x=Math.max(as.x,mn[tl].x),as.y=Math.max(as.y,mn[tl].y);fo.x>=ln.x&&as.x<=Qn.x&&fo.y>=ln.y&&as.y<=Qn.y?ps=[mn]:as.x<ln.x||fo.x>Qn.x||as.y<ln.y||fo.y>Qn.y?ps=[]:ps=i.clipLine([mn],ln.x,ln.y,Qn.x,Qn.y)}for(var zu=0,Mv=ps;zu<Mv.length;zu+=1){var Ev=Mv[zu];qn.reset(Ev,Ri*.25);var yd=0;qn.length<=.5*Ri?yd=1:yd=Math.ceil(qn.paddedLength/No)+1;for(var Yv=0;Yv<yd;Yv++){var cg=Yv/Math.max(yd-1,1),vp=qn.lerp(cg),_d=vp.x+os,pp=vp.y+os;Pt.push(_d,pp,Ri,0);var Nd=_d-Ri,xd=pp-Ri,kv=_d+Ri,Kv=pp+Ri;if(tn=tn&&this.isOffscreen(Nd,xd,kv,Kv),yi=yi||this.isInsideGrid(Nd,xd,kv,Kv),!z&&this.grid.hitTestCircle(_d,pp,Ri,ir)&&(ei=!0,!pt))return{circles:[],offscreen:!1,collisionDetected:ei}}}}return{circles:!pt&&ei||!yi?[]:Pt,offscreen:tn,collisionDetected:ei}},cl.prototype.queryRenderedSymbols=function(z){if(z.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};for(var K=[],O=1/0,$=1/0,pe=-1/0,de=-1/0,Ie=0,$e=z;Ie<$e.length;Ie+=1){var pt=$e[Ie],Kt=new i.Point(pt.x+os,pt.y+os);O=Math.min(O,Kt.x),$=Math.min($,Kt.y),pe=Math.max(pe,Kt.x),de=Math.max(de,Kt.y),K.push(Kt)}for(var ir=this.grid.query(O,$,pe,de).concat(this.ignoredGrid.query(O,$,pe,de)),Jt={},vt={},Pt=0,Wt=ir;Pt<Wt.length;Pt+=1){var rr=Wt[Pt],dr=rr.key;if(Jt[dr.bucketInstanceId]===void 0&&(Jt[dr.bucketInstanceId]={}),!Jt[dr.bucketInstanceId][dr.featureIndex]){var pr=[new i.Point(rr.x1,rr.y1),new i.Point(rr.x2,rr.y1),new i.Point(rr.x2,rr.y2),new i.Point(rr.x1,rr.y2)];i.polygonIntersectsPolygon(K,pr)&&(Jt[dr.bucketInstanceId][dr.featureIndex]=!0,vt[dr.bucketInstanceId]===void 0&&(vt[dr.bucketInstanceId]=[]),vt[dr.bucketInstanceId].push(dr.featureIndex))}}return vt},cl.prototype.insertCollisionBox=function(z,K,O,$,pe){var de=K?this.ignoredGrid:this.grid,Ie={bucketInstanceId:O,featureIndex:$,collisionGroupID:pe};de.insert(Ie,z[0],z[1],z[2],z[3])},cl.prototype.insertCollisionCircles=function(z,K,O,$,pe){for(var de=K?this.ignoredGrid:this.grid,Ie={bucketInstanceId:O,featureIndex:$,collisionGroupID:pe},$e=0;$e<z.length;$e+=4)de.insertCircle(Ie,z[$e],z[$e+1],z[$e+2])},cl.prototype.projectAndGetPerspectiveRatio=function(z,K,O){var $=[K,O,0,1];wl($,$,z);var pe=new i.Point(($[0]/$[3]+1)/2*this.transform.width+os,(-$[1]/$[3]+1)/2*this.transform.height+os);return{point:pe,perspectiveRatio:.5+.5*(this.transform.cameraToCenterDistance/$[3])}},cl.prototype.isOffscreen=function(z,K,O,$){return O<os||z>=this.screenRightBoundary||$<os||K>this.screenBottomBoundary},cl.prototype.isInsideGrid=function(z,K,O,$){return O>=0&&z<this.gridRightBoundary&&$>=0&&K<this.gridBottomBoundary},cl.prototype.getViewportMatrix=function(){var z=i.identity([]);return i.translate(z,z,[-os,-os,0]),z};function Cs(Y,z,K){return z*(i.EXTENT/(Y.tileSize*Math.pow(2,K-Y.tileID.overscaledZ)))}var ml=function(z,K,O,$){z?this.opacity=Math.max(0,Math.min(1,z.opacity+(z.placed?K:-K))):this.opacity=$&&O?1:0,this.placed=O};ml.prototype.isHidden=function(){return this.opacity===0&&!this.placed};var Ys=function(z,K,O,$,pe){this.text=new ml(z?z.text:null,K,O,pe),this.icon=new ml(z?z.icon:null,K,$,pe)};Ys.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var Hs=function(z,K,O){this.text=z,this.icon=K,this.skipFade=O},Eo=function(){this.invProjMatrix=i.create(),this.viewportMatrix=i.create(),this.circles=[]},fs=function(z,K,O,$,pe){this.bucketInstanceId=z,this.featureIndex=K,this.sourceLayerIndex=O,this.bucketIndex=$,this.tileID=pe},$l=function(z){this.crossSourceCollisions=z,this.maxGroupID=0,this.collisionGroups={}};$l.prototype.get=function(z){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[z]){var K=++this.maxGroupID;this.collisionGroups[z]={ID:K,predicate:function(O){return O.collisionGroupID===K}}}return this.collisionGroups[z]};function Hu(Y,z,K,O,$){var pe=i.getAnchorAlignment(Y),de=pe.horizontalAlign,Ie=pe.verticalAlign,$e=-(de-.5)*z,pt=-(Ie-.5)*K,Kt=i.evaluateVariableOffset(Y,O);return new i.Point($e+Kt[0]*$,pt+Kt[1]*$)}function fc(Y,z,K,O,$,pe){var de=Y.x1,Ie=Y.x2,$e=Y.y1,pt=Y.y2,Kt=Y.anchorPointX,ir=Y.anchorPointY,Jt=new i.Point(z,K);return O&&Jt._rotate($?pe:-pe),{x1:de+Jt.x,y1:$e+Jt.y,x2:Ie+Jt.x,y2:pt+Jt.y,anchorPointX:Kt,anchorPointY:ir}}var ms=function(z,K,O,$){this.transform=z.clone(),this.collisionIndex=new cl(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=K,this.retainedQueryData={},this.collisionGroups=new $l(O),this.collisionCircleArrays={},this.prevPlacement=$,$&&($.prevPlacement=void 0),this.placedOrientations={}};ms.prototype.getBucketParts=function(z,K,O,$){var pe=O.getBucket(K),de=O.latestFeatureIndex;if(!(!pe||!de||K.id!==pe.layerIds[0])){var Ie=O.collisionBoxArray,$e=pe.layers[0].layout,pt=Math.pow(2,this.transform.zoom-O.tileID.overscaledZ),Kt=O.tileSize/i.EXTENT,ir=this.transform.calculatePosMatrix(O.tileID.toUnwrapped()),Jt=$e.get(\"text-pitch-alignment\")===\"map\",vt=$e.get(\"text-rotation-alignment\")===\"map\",Pt=Cs(O,1,this.transform.zoom),Wt=Ji(ir,Jt,vt,this.transform,Pt),rr=null;if(Jt){var dr=ua(ir,Jt,vt,this.transform,Pt);rr=i.multiply([],this.transform.labelPlaneMatrix,dr)}this.retainedQueryData[pe.bucketInstanceId]=new fs(pe.bucketInstanceId,de,pe.sourceLayerIndex,pe.index,O.tileID);var pr={bucket:pe,layout:$e,posMatrix:ir,textLabelPlaneMatrix:Wt,labelToScreenMatrix:rr,scale:pt,textPixelRatio:Kt,holdingForFade:O.holdingForFade(),collisionBoxArray:Ie,partiallyEvaluatedTextSize:i.evaluateSizeForZoom(pe.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(pe.sourceID)};if($)for(var kr=0,Ar=pe.sortKeyRanges;kr<Ar.length;kr+=1){var gr=Ar[kr],Cr=gr.sortKey,cr=gr.symbolInstanceStart,Gr=gr.symbolInstanceEnd;z.push({sortKey:Cr,symbolInstanceStart:cr,symbolInstanceEnd:Gr,parameters:pr})}else z.push({symbolInstanceStart:0,symbolInstanceEnd:pe.symbolInstances.length,parameters:pr})}},ms.prototype.attemptAnchorPlacement=function(z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt,Pt,Wt){var rr=[Jt.textOffset0,Jt.textOffset1],dr=Hu(z,O,$,rr,pe),pr=this.collisionIndex.placeCollisionBox(fc(K,dr.x,dr.y,de,Ie,this.transform.angle),ir,$e,pt,Kt.predicate);if(Wt){var kr=this.collisionIndex.placeCollisionBox(fc(Wt,dr.x,dr.y,de,Ie,this.transform.angle),ir,$e,pt,Kt.predicate);if(kr.box.length===0)return}if(pr.box.length>0){var Ar;return this.prevPlacement&&this.prevPlacement.variableOffsets[Jt.crossTileID]&&this.prevPlacement.placements[Jt.crossTileID]&&this.prevPlacement.placements[Jt.crossTileID].text&&(Ar=this.prevPlacement.variableOffsets[Jt.crossTileID].anchor),this.variableOffsets[Jt.crossTileID]={textOffset:rr,width:O,height:$,anchor:z,textBoxScale:pe,prevAnchor:Ar},this.markUsedJustification(vt,z,Jt,Pt),vt.allowVerticalPlacement&&(this.markUsedOrientation(vt,Pt,Jt),this.placedOrientations[Jt.crossTileID]=Pt),{shift:dr,placedGlyphBoxes:pr}}},ms.prototype.placeLayerBucketPart=function(z,K,O){var $=this,pe=z.parameters,de=pe.bucket,Ie=pe.layout,$e=pe.posMatrix,pt=pe.textLabelPlaneMatrix,Kt=pe.labelToScreenMatrix,ir=pe.textPixelRatio,Jt=pe.holdingForFade,vt=pe.collisionBoxArray,Pt=pe.partiallyEvaluatedTextSize,Wt=pe.collisionGroup,rr=Ie.get(\"text-optional\"),dr=Ie.get(\"icon-optional\"),pr=Ie.get(\"text-allow-overlap\"),kr=Ie.get(\"icon-allow-overlap\"),Ar=Ie.get(\"text-rotation-alignment\")===\"map\",gr=Ie.get(\"text-pitch-alignment\")===\"map\",Cr=Ie.get(\"icon-text-fit\")!==\"none\",cr=Ie.get(\"symbol-z-order\")===\"viewport-y\",Gr=pr&&(kr||!de.hasIconData()||dr),ei=kr&&(pr||!de.hasTextData()||rr);!de.collisionArrays&&vt&&de.deserializeCollisionBoxes(vt);var yi=function(rn,bn){if(!K[rn.crossTileID]){if(Jt){$.placements[rn.crossTileID]=new Hs(!1,!1,!1);return}var mn=!1,Gn=!1,da=!0,No=null,Do={box:null,offscreen:null},ps={box:null,offscreen:null},fo=null,as=null,tl=null,zu=0,Mv=0,Ev=0;bn.textFeatureIndex?zu=bn.textFeatureIndex:rn.useRuntimeCollisionCircles&&(zu=rn.featureIndex),bn.verticalTextFeatureIndex&&(Mv=bn.verticalTextFeatureIndex);var yd=bn.textBox;if(yd){var Yv=function(Fu){var kl=i.WritingMode.horizontal;if(de.allowVerticalPlacement&&!Fu&&$.prevPlacement){var bd=$.prevPlacement.placedOrientations[rn.crossTileID];bd&&($.placedOrientations[rn.crossTileID]=bd,kl=bd,$.markUsedOrientation(de,kl,rn))}return kl},cg=function(Fu,kl){if(de.allowVerticalPlacement&&rn.numVerticalGlyphVertices>0&&bn.verticalTextBox)for(var bd=0,sy=de.writingModes;bd<sy.length;bd+=1){var A1=sy[bd];if(A1===i.WritingMode.vertical?(Do=kl(),ps=Do):Do=Fu(),Do&&Do.box&&Do.box.length)break}else Do=Fu()};if(Ie.get(\"text-variable-anchor\")){var Nd=Ie.get(\"text-variable-anchor\");if($.prevPlacement&&$.prevPlacement.variableOffsets[rn.crossTileID]){var xd=$.prevPlacement.variableOffsets[rn.crossTileID];Nd.indexOf(xd.anchor)>0&&(Nd=Nd.filter(function(Fu){return Fu!==xd.anchor}),Nd.unshift(xd.anchor))}var kv=function(Fu,kl,bd){for(var sy=Fu.x2-Fu.x1,A1=Fu.y2-Fu.y1,Yl=rn.textBoxScale,Bx=Cr&&!kr?kl:null,am={box:[],offscreen:!1},Mw=pr?Nd.length*2:Nd.length,Lv=0;Lv<Mw;++Lv){var om=Nd[Lv%Nd.length],Ew=Lv>=Nd.length,Nx=$.attemptAnchorPlacement(om,Fu,sy,A1,Yl,Ar,gr,ir,$e,Wt,Ew,rn,de,bd,Bx);if(Nx&&(am=Nx.placedGlyphBoxes,am&&am.box&&am.box.length)){mn=!0,No=Nx.shift;break}}return am},Kv=function(){return kv(yd,bn.iconBox,i.WritingMode.horizontal)},Cv=function(){var Fu=bn.verticalTextBox,kl=Do&&Do.box&&Do.box.length;return de.allowVerticalPlacement&&!kl&&rn.numVerticalGlyphVertices>0&&Fu?kv(Fu,bn.verticalIconBox,i.WritingMode.vertical):{box:null,offscreen:null}};cg(Kv,Cv),Do&&(mn=Do.box,da=Do.offscreen);var ny=Yv(Do&&Do.box);if(!mn&&$.prevPlacement){var fg=$.prevPlacement.variableOffsets[rn.crossTileID];fg&&($.variableOffsets[rn.crossTileID]=fg,$.markUsedJustification(de,fg.anchor,rn,ny))}}else{var vp=function(Fu,kl){var bd=$.collisionIndex.placeCollisionBox(Fu,pr,ir,$e,Wt.predicate);return bd&&bd.box&&bd.box.length&&($.markUsedOrientation(de,kl,rn),$.placedOrientations[rn.crossTileID]=kl),bd},_d=function(){return vp(yd,i.WritingMode.horizontal)},pp=function(){var Fu=bn.verticalTextBox;return de.allowVerticalPlacement&&rn.numVerticalGlyphVertices>0&&Fu?vp(Fu,i.WritingMode.vertical):{box:null,offscreen:null}};cg(_d,pp),Yv(Do&&Do.box&&Do.box.length)}}if(fo=Do,mn=fo&&fo.box&&fo.box.length>0,da=fo&&fo.offscreen,rn.useRuntimeCollisionCircles){var Hf=de.text.placedSymbolArray.get(rn.centerJustifiedTextSymbolIndex),hg=i.evaluateSizeForFeature(de.textSizeData,Pt,Hf),ay=Ie.get(\"text-padding\"),Rh=rn.collisionCircleDiameter;as=$.collisionIndex.placeCollisionCircles(pr,Hf,de.lineVertexArray,de.glyphOffsetArray,hg,$e,pt,Kt,O,gr,Wt.predicate,Rh,ay),mn=pr||as.circles.length>0&&!as.collisionDetected,da=da&&as.offscreen}if(bn.iconFeatureIndex&&(Ev=bn.iconFeatureIndex),bn.iconBox){var rm=function(Fu){var kl=Cr&&No?fc(Fu,No.x,No.y,Ar,gr,$.transform.angle):Fu;return $.collisionIndex.placeCollisionBox(kl,kr,ir,$e,Wt.predicate)};ps&&ps.box&&ps.box.length&&bn.verticalIconBox?(tl=rm(bn.verticalIconBox),Gn=tl.box.length>0):(tl=rm(bn.iconBox),Gn=tl.box.length>0),da=da&&tl.offscreen}var w1=rr||rn.numHorizontalGlyphVertices===0&&rn.numVerticalGlyphVertices===0,T1=dr||rn.numIconVertices===0;if(!w1&&!T1?Gn=mn=Gn&&mn:T1?w1||(Gn=Gn&&mn):mn=Gn&&mn,mn&&fo&&fo.box&&(ps&&ps.box&&Mv?$.collisionIndex.insertCollisionBox(fo.box,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,Mv,Wt.ID):$.collisionIndex.insertCollisionBox(fo.box,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,zu,Wt.ID)),Gn&&tl&&$.collisionIndex.insertCollisionBox(tl.box,Ie.get(\"icon-ignore-placement\"),de.bucketInstanceId,Ev,Wt.ID),as&&(mn&&$.collisionIndex.insertCollisionCircles(as.circles,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,zu,Wt.ID),O)){var oy=de.bucketInstanceId,im=$.collisionCircleArrays[oy];im===void 0&&(im=$.collisionCircleArrays[oy]=new Eo);for(var nm=0;nm<as.circles.length;nm+=4)im.circles.push(as.circles[nm+0]),im.circles.push(as.circles[nm+1]),im.circles.push(as.circles[nm+2]),im.circles.push(as.collisionDetected?1:0)}$.placements[rn.crossTileID]=new Hs(mn||Gr,Gn||ei,da||de.justReloaded),K[rn.crossTileID]=!0}};if(cr)for(var tn=de.getSortedSymbolIndexes(this.transform.angle),Ri=tn.length-1;Ri>=0;--Ri){var ln=tn[Ri];yi(de.symbolInstances.get(ln),de.collisionArrays[ln])}else for(var Qn=z.symbolInstanceStart;Qn<z.symbolInstanceEnd;Qn++)yi(de.symbolInstances.get(Qn),de.collisionArrays[Qn]);if(O&&de.bucketInstanceId in this.collisionCircleArrays){var qn=this.collisionCircleArrays[de.bucketInstanceId];i.invert(qn.invProjMatrix,$e),qn.viewportMatrix=this.collisionIndex.getViewportMatrix()}de.justReloaded=!1},ms.prototype.markUsedJustification=function(z,K,O,$){var pe={left:O.leftJustifiedTextSymbolIndex,center:O.centerJustifiedTextSymbolIndex,right:O.rightJustifiedTextSymbolIndex},de;$===i.WritingMode.vertical?de=O.verticalPlacedTextSymbolIndex:de=pe[i.getAnchorJustification(K)];for(var Ie=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex,O.verticalPlacedTextSymbolIndex],$e=0,pt=Ie;$e<pt.length;$e+=1){var Kt=pt[$e];Kt>=0&&(de>=0&&Kt!==de?z.text.placedSymbolArray.get(Kt).crossTileID=0:z.text.placedSymbolArray.get(Kt).crossTileID=O.crossTileID)}},ms.prototype.markUsedOrientation=function(z,K,O){for(var $=K===i.WritingMode.horizontal||K===i.WritingMode.horizontalOnly?K:0,pe=K===i.WritingMode.vertical?K:0,de=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex],Ie=0,$e=de;Ie<$e.length;Ie+=1){var pt=$e[Ie];z.text.placedSymbolArray.get(pt).placedOrientation=$}O.verticalPlacedTextSymbolIndex&&(z.text.placedSymbolArray.get(O.verticalPlacedTextSymbolIndex).placedOrientation=pe)},ms.prototype.commit=function(z){this.commitTime=z,this.zoomAtLastRecencyCheck=this.transform.zoom;var K=this.prevPlacement,O=!1;this.prevZoomAdjustment=K?K.zoomAdjustment(this.transform.zoom):0;var $=K?K.symbolFadeChange(z):1,pe=K?K.opacities:{},de=K?K.variableOffsets:{},Ie=K?K.placedOrientations:{};for(var $e in this.placements){var pt=this.placements[$e],Kt=pe[$e];Kt?(this.opacities[$e]=new Ys(Kt,$,pt.text,pt.icon),O=O||pt.text!==Kt.text.placed||pt.icon!==Kt.icon.placed):(this.opacities[$e]=new Ys(null,$,pt.text,pt.icon,pt.skipFade),O=O||pt.text||pt.icon)}for(var ir in pe){var Jt=pe[ir];if(!this.opacities[ir]){var vt=new Ys(Jt,$,!1,!1);vt.isHidden()||(this.opacities[ir]=vt,O=O||Jt.text.placed||Jt.icon.placed)}}for(var Pt in de)!this.variableOffsets[Pt]&&this.opacities[Pt]&&!this.opacities[Pt].isHidden()&&(this.variableOffsets[Pt]=de[Pt]);for(var Wt in Ie)!this.placedOrientations[Wt]&&this.opacities[Wt]&&!this.opacities[Wt].isHidden()&&(this.placedOrientations[Wt]=Ie[Wt]);O?this.lastPlacementChangeTime=z:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=K?K.lastPlacementChangeTime:z)},ms.prototype.updateLayerOpacities=function(z,K){for(var O={},$=0,pe=K;$<pe.length;$+=1){var de=pe[$],Ie=de.getBucket(z);Ie&&de.latestFeatureIndex&&z.id===Ie.layerIds[0]&&this.updateBucketOpacities(Ie,O,de.collisionBoxArray)}},ms.prototype.updateBucketOpacities=function(z,K,O){var $=this;z.hasTextData()&&z.text.opacityVertexArray.clear(),z.hasIconData()&&z.icon.opacityVertexArray.clear(),z.hasIconCollisionBoxData()&&z.iconCollisionBox.collisionVertexArray.clear(),z.hasTextCollisionBoxData()&&z.textCollisionBox.collisionVertexArray.clear();var pe=z.layers[0].layout,de=new Ys(null,0,!1,!1,!0),Ie=pe.get(\"text-allow-overlap\"),$e=pe.get(\"icon-allow-overlap\"),pt=pe.get(\"text-variable-anchor\"),Kt=pe.get(\"text-rotation-alignment\")===\"map\",ir=pe.get(\"text-pitch-alignment\")===\"map\",Jt=pe.get(\"icon-text-fit\")!==\"none\",vt=new Ys(null,0,Ie&&($e||!z.hasIconData()||pe.get(\"icon-optional\")),$e&&(Ie||!z.hasTextData()||pe.get(\"text-optional\")),!0);!z.collisionArrays&&O&&(z.hasIconCollisionBoxData()||z.hasTextCollisionBoxData())&&z.deserializeCollisionBoxes(O);for(var Pt=function(pr,kr,Ar){for(var gr=0;gr<kr/4;gr++)pr.opacityVertexArray.emplaceBack(Ar)},Wt=function(pr){var kr=z.symbolInstances.get(pr),Ar=kr.numHorizontalGlyphVertices,gr=kr.numVerticalGlyphVertices,Cr=kr.crossTileID,cr=K[Cr],Gr=$.opacities[Cr];cr?Gr=de:Gr||(Gr=vt,$.opacities[Cr]=Gr),K[Cr]=!0;var ei=Ar>0||gr>0,yi=kr.numIconVertices>0,tn=$.placedOrientations[kr.crossTileID],Ri=tn===i.WritingMode.vertical,ln=tn===i.WritingMode.horizontal||tn===i.WritingMode.horizontalOnly;if(ei){var Qn=Ec(Gr.text),qn=Ri?Zn:Qn;Pt(z.text,Ar,qn);var rn=ln?Zn:Qn;Pt(z.text,gr,rn);var bn=Gr.text.isHidden();[kr.rightJustifiedTextSymbolIndex,kr.centerJustifiedTextSymbolIndex,kr.leftJustifiedTextSymbolIndex].forEach(function(Ev){Ev>=0&&(z.text.placedSymbolArray.get(Ev).hidden=bn||Ri?1:0)}),kr.verticalPlacedTextSymbolIndex>=0&&(z.text.placedSymbolArray.get(kr.verticalPlacedTextSymbolIndex).hidden=bn||ln?1:0);var mn=$.variableOffsets[kr.crossTileID];mn&&$.markUsedJustification(z,mn.anchor,kr,tn);var Gn=$.placedOrientations[kr.crossTileID];Gn&&($.markUsedJustification(z,\"left\",kr,Gn),$.markUsedOrientation(z,Gn,kr))}if(yi){var da=Ec(Gr.icon),No=!(Jt&&kr.verticalPlacedIconSymbolIndex&&Ri);if(kr.placedIconSymbolIndex>=0){var Do=No?da:Zn;Pt(z.icon,kr.numIconVertices,Do),z.icon.placedSymbolArray.get(kr.placedIconSymbolIndex).hidden=Gr.icon.isHidden()}if(kr.verticalPlacedIconSymbolIndex>=0){var ps=No?Zn:da;Pt(z.icon,kr.numVerticalIconVertices,ps),z.icon.placedSymbolArray.get(kr.verticalPlacedIconSymbolIndex).hidden=Gr.icon.isHidden()}}if(z.hasIconCollisionBoxData()||z.hasTextCollisionBoxData()){var fo=z.collisionArrays[pr];if(fo){var as=new i.Point(0,0);if(fo.textBox||fo.verticalTextBox){var tl=!0;if(pt){var zu=$.variableOffsets[Cr];zu?(as=Hu(zu.anchor,zu.width,zu.height,zu.textOffset,zu.textBoxScale),Kt&&as._rotate(ir?$.transform.angle:-$.transform.angle)):tl=!1}fo.textBox&&on(z.textCollisionBox.collisionVertexArray,Gr.text.placed,!tl||Ri,as.x,as.y),fo.verticalTextBox&&on(z.textCollisionBox.collisionVertexArray,Gr.text.placed,!tl||ln,as.x,as.y)}var Mv=!!(!ln&&fo.verticalIconBox);fo.iconBox&&on(z.iconCollisionBox.collisionVertexArray,Gr.icon.placed,Mv,Jt?as.x:0,Jt?as.y:0),fo.verticalIconBox&&on(z.iconCollisionBox.collisionVertexArray,Gr.icon.placed,!Mv,Jt?as.x:0,Jt?as.y:0)}}},rr=0;rr<z.symbolInstances.length;rr++)Wt(rr);if(z.sortFeatures(this.transform.angle),this.retainedQueryData[z.bucketInstanceId]&&(this.retainedQueryData[z.bucketInstanceId].featureSortOrder=z.featureSortOrder),z.hasTextData()&&z.text.opacityVertexBuffer&&z.text.opacityVertexBuffer.updateData(z.text.opacityVertexArray),z.hasIconData()&&z.icon.opacityVertexBuffer&&z.icon.opacityVertexBuffer.updateData(z.icon.opacityVertexArray),z.hasIconCollisionBoxData()&&z.iconCollisionBox.collisionVertexBuffer&&z.iconCollisionBox.collisionVertexBuffer.updateData(z.iconCollisionBox.collisionVertexArray),z.hasTextCollisionBoxData()&&z.textCollisionBox.collisionVertexBuffer&&z.textCollisionBox.collisionVertexBuffer.updateData(z.textCollisionBox.collisionVertexArray),z.bucketInstanceId in this.collisionCircleArrays){var dr=this.collisionCircleArrays[z.bucketInstanceId];z.placementInvProjMatrix=dr.invProjMatrix,z.placementViewportMatrix=dr.viewportMatrix,z.collisionCircleArray=dr.circles,delete this.collisionCircleArrays[z.bucketInstanceId]}},ms.prototype.symbolFadeChange=function(z){return this.fadeDuration===0?1:(z-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},ms.prototype.zoomAdjustment=function(z){return Math.max(0,(this.transform.zoom-z)/1.5)},ms.prototype.hasTransitions=function(z){return this.stale||z-this.lastPlacementChangeTime<this.fadeDuration},ms.prototype.stillRecent=function(z,K){var O=this.zoomAtLastRecencyCheck===K?1-this.zoomAdjustment(K):1;return this.zoomAtLastRecencyCheck=K,this.commitTime+this.fadeDuration*O>z},ms.prototype.setStale=function(){this.stale=!0};function on(Y,z,K,O,$){Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0)}var fa=Math.pow(2,25),Qu=Math.pow(2,24),Il=Math.pow(2,17),vo=Math.pow(2,16),Wl=Math.pow(2,9),Ks=Math.pow(2,8),Zl=Math.pow(2,1);function Ec(Y){if(Y.opacity===0&&!Y.placed)return 0;if(Y.opacity===1&&Y.placed)return 4294967295;var z=Y.placed?1:0,K=Math.floor(Y.opacity*127);return K*fa+z*Qu+K*Il+z*vo+K*Wl+z*Ks+K*Zl+z}var Zn=0,ko=function(z){this._sortAcrossTiles=z.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&z.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};ko.prototype.continuePlacement=function(z,K,O,$,pe){for(var de=this._bucketParts;this._currentTileIndex<z.length;){var Ie=z[this._currentTileIndex];if(K.getBucketParts(de,$,Ie,this._sortAcrossTiles),this._currentTileIndex++,pe())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,de.sort(function(pt,Kt){return pt.sortKey-Kt.sortKey}));this._currentPartIndex<de.length;){var $e=de[this._currentPartIndex];if(K.placeLayerBucketPart($e,this._seenCrossTileIDs,O),this._currentPartIndex++,pe())return!0}return!1};var Co=function(z,K,O,$,pe,de,Ie){this.placement=new ms(z,pe,de,Ie),this._currentPlacementIndex=K.length-1,this._forceFullPlacement=O,this._showCollisionBoxes=$,this._done=!1};Co.prototype.isDone=function(){return this._done},Co.prototype.continuePlacement=function(z,K,O){for(var $=this,pe=i.browser.now(),de=function(){var ir=i.browser.now()-pe;return $._forceFullPlacement?!1:ir>2};this._currentPlacementIndex>=0;){var Ie=z[this._currentPlacementIndex],$e=K[Ie],pt=this.placement.collisionIndex.transform.zoom;if($e.type===\"symbol\"&&(!$e.minzoom||$e.minzoom<=pt)&&(!$e.maxzoom||$e.maxzoom>pt)){this._inProgressLayer||(this._inProgressLayer=new ko($e));var Kt=this._inProgressLayer.continuePlacement(O[$e.source],this.placement,this._showCollisionBoxes,$e,de);if(Kt)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Co.prototype.commit=function(z){return this.placement.commit(z),this.placement};var Tl=512/i.EXTENT/2,uf=function(z,K,O){this.tileID=z,this.indexedSymbolInstances={},this.bucketInstanceId=O;for(var $=0;$<K.length;$++){var pe=K.get($),de=pe.key;this.indexedSymbolInstances[de]||(this.indexedSymbolInstances[de]=[]),this.indexedSymbolInstances[de].push({crossTileID:pe.crossTileID,coord:this.getScaledCoordinates(pe,z)})}};uf.prototype.getScaledCoordinates=function(z,K){var O=K.canonical.z-this.tileID.canonical.z,$=Tl/Math.pow(2,O);return{x:Math.floor((K.canonical.x*i.EXTENT+z.anchorX)*$),y:Math.floor((K.canonical.y*i.EXTENT+z.anchorY)*$)}},uf.prototype.findMatches=function(z,K,O){for(var $=this.tileID.canonical.z<K.canonical.z?1:Math.pow(2,this.tileID.canonical.z-K.canonical.z),pe=0;pe<z.length;pe++){var de=z.get(pe);if(!de.crossTileID){var Ie=this.indexedSymbolInstances[de.key];if(Ie)for(var $e=this.getScaledCoordinates(de,K),pt=0,Kt=Ie;pt<Kt.length;pt+=1){var ir=Kt[pt];if(Math.abs(ir.coord.x-$e.x)<=$&&Math.abs(ir.coord.y-$e.y)<=$&&!O[ir.crossTileID]){O[ir.crossTileID]=!0,de.crossTileID=ir.crossTileID;break}}}}};var So=function(){this.maxCrossTileID=0};So.prototype.generate=function(){return++this.maxCrossTileID};var cf=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};cf.prototype.handleWrapJump=function(z){var K=Math.round((z-this.lng)/360);if(K!==0)for(var O in this.indexes){var $=this.indexes[O],pe={};for(var de in $){var Ie=$[de];Ie.tileID=Ie.tileID.unwrapTo(Ie.tileID.wrap+K),pe[Ie.tileID.key]=Ie}this.indexes[O]=pe}this.lng=z},cf.prototype.addBucket=function(z,K,O){if(this.indexes[z.overscaledZ]&&this.indexes[z.overscaledZ][z.key]){if(this.indexes[z.overscaledZ][z.key].bucketInstanceId===K.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(z.overscaledZ,this.indexes[z.overscaledZ][z.key])}for(var $=0;$<K.symbolInstances.length;$++){var pe=K.symbolInstances.get($);pe.crossTileID=0}this.usedCrossTileIDs[z.overscaledZ]||(this.usedCrossTileIDs[z.overscaledZ]={});var de=this.usedCrossTileIDs[z.overscaledZ];for(var Ie in this.indexes){var $e=this.indexes[Ie];if(Number(Ie)>z.overscaledZ)for(var pt in $e){var Kt=$e[pt];Kt.tileID.isChildOf(z)&&Kt.findMatches(K.symbolInstances,z,de)}else{var ir=z.scaledTo(Number(Ie)),Jt=$e[ir.key];Jt&&Jt.findMatches(K.symbolInstances,z,de)}}for(var vt=0;vt<K.symbolInstances.length;vt++){var Pt=K.symbolInstances.get(vt);Pt.crossTileID||(Pt.crossTileID=O.generate(),de[Pt.crossTileID]=!0)}return this.indexes[z.overscaledZ]===void 0&&(this.indexes[z.overscaledZ]={}),this.indexes[z.overscaledZ][z.key]=new uf(z,K.symbolInstances,K.bucketInstanceId),!0},cf.prototype.removeBucketCrossTileIDs=function(z,K){for(var O in K.indexedSymbolInstances)for(var $=0,pe=K.indexedSymbolInstances[O];$<pe.length;$+=1){var de=pe[$];delete this.usedCrossTileIDs[z][de.crossTileID]}},cf.prototype.removeStaleBuckets=function(z){var K=!1;for(var O in this.indexes){var $=this.indexes[O];for(var pe in $)z[$[pe].bucketInstanceId]||(this.removeBucketCrossTileIDs(O,$[pe]),delete $[pe],K=!0)}return K};var rh=function(){this.layerIndexes={},this.crossTileIDs=new So,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};rh.prototype.addLayer=function(z,K,O){var $=this.layerIndexes[z.id];$===void 0&&($=this.layerIndexes[z.id]=new cf);var pe=!1,de={};$.handleWrapJump(O);for(var Ie=0,$e=K;Ie<$e.length;Ie+=1){var pt=$e[Ie],Kt=pt.getBucket(z);!Kt||z.id!==Kt.layerIds[0]||(Kt.bucketInstanceId||(Kt.bucketInstanceId=++this.maxBucketInstanceId),$.addBucket(pt.tileID,Kt,this.crossTileIDs)&&(pe=!0),de[Kt.bucketInstanceId]=!0)}return $.removeStaleBuckets(de)&&(pe=!0),pe},rh.prototype.pruneUnusedLayers=function(z){var K={};z.forEach(function($){K[$]=!0});for(var O in this.layerIndexes)K[O]||delete this.layerIndexes[O]};var Al=function(Y,z){return i.emitValidationErrors(Y,z&&z.filter(function(K){return K.identifier!==\"source.canvas\"}))},Hc=i.pick(oa,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ql=i.pick(oa,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ls=jo(),mu=function(Y){function z(K,O){var $=this;O===void 0&&(O={}),Y.call(this),this.map=K,this.dispatcher=new X(ka(),this),this.imageManager=new E,this.imageManager.setEventedParent(this),this.glyphManager=new P(K._requestManager,O.localIdeographFontFamily),this.lineAtlas=new H(256,512),this.crossTileSymbolIndex=new rh,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new i.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",i.getReferrer());var pe=this;this._rtlTextPluginCallback=z.registerForPluginStateChange(function(de){var Ie={pluginStatus:de.pluginStatus,pluginURL:de.pluginURL};pe.dispatcher.broadcast(\"syncRTLPluginState\",Ie,function($e,pt){if(i.triggerPluginCompletionEvent($e),pt){var Kt=pt.every(function(Jt){return Jt});if(Kt)for(var ir in pe.sourceCaches)pe.sourceCaches[ir].reload()}})}),this.on(\"data\",function(de){if(!(de.dataType!==\"source\"||de.sourceDataType!==\"metadata\")){var Ie=$.sourceCaches[de.sourceId];if(Ie){var $e=Ie.getSource();if(!(!$e||!$e.vectorLayerIds))for(var pt in $._layers){var Kt=$._layers[pt];Kt.source===$e.id&&$._validateLayer(Kt)}}}})}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.loadURL=function(O,$){var pe=this;$===void 0&&($={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"}));var de=typeof $.validate==\"boolean\"?$.validate:!i.isMapboxURL(O);O=this.map._requestManager.normalizeStyleURL(O,$.accessToken);var Ie=this.map._requestManager.transformRequest(O,i.ResourceType.Style);this._request=i.getJSON(Ie,function($e,pt){pe._request=null,$e?pe.fire(new i.ErrorEvent($e)):pt&&pe._load(pt,de)})},z.prototype.loadJSON=function(O,$){var pe=this;$===void 0&&($={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._request=i.browser.frame(function(){pe._request=null,pe._load(O,$.validate!==!1)})},z.prototype.loadEmpty=function(){this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ls,!1)},z.prototype._load=function(O,$){if(!($&&Al(this,i.validateStyle(O)))){this._loaded=!0,this.stylesheet=O;for(var pe in O.sources)this.addSource(pe,O.sources[pe],{validate:!1});O.sprite?this._loadSprite(O.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(O.glyphs);var de=Ra(this.stylesheet.layers);this._order=de.map(function(Kt){return Kt.id}),this._layers={},this._serializedLayers={};for(var Ie=0,$e=de;Ie<$e.length;Ie+=1){var pt=$e[Ie];pt=i.createStyleLayer(pt),pt.setEventedParent(this,{layer:{id:pt.id}}),this._layers[pt.id]=pt,this._serializedLayers[pt.id]=pt.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new i.Event(\"data\",{dataType:\"style\"})),this.fire(new i.Event(\"style.load\"))}},z.prototype._loadSprite=function(O){var $=this;this._spriteRequest=x(O,this.map._requestManager,function(pe,de){if($._spriteRequest=null,pe)$.fire(new i.ErrorEvent(pe));else if(de)for(var Ie in de)$.imageManager.addImage(Ie,de[Ie]);$.imageManager.setLoaded(!0),$._availableImages=$.imageManager.listImages(),$.dispatcher.broadcast(\"setImages\",$._availableImages),$.fire(new i.Event(\"data\",{dataType:\"style\"}))})},z.prototype._validateLayer=function(O){var $=this.sourceCaches[O.source];if($){var pe=O.sourceLayer;if(pe){var de=$.getSource();(de.type===\"geojson\"||de.vectorLayerIds&&de.vectorLayerIds.indexOf(pe)===-1)&&this.fire(new i.ErrorEvent(new Error('Source layer \"'+pe+'\" does not exist on source \"'+de.id+'\" as specified by style layer \"'+O.id+'\"')))}}},z.prototype.loaded=function(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(var O in this.sourceCaches)if(!this.sourceCaches[O].loaded())return!1;return!!this.imageManager.isLoaded()},z.prototype._serializeLayers=function(O){for(var $=[],pe=0,de=O;pe<de.length;pe+=1){var Ie=de[pe],$e=this._layers[Ie];$e.type!==\"custom\"&&$.push($e.serialize())}return $},z.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var O in this.sourceCaches)if(this.sourceCaches[O].hasTransition())return!0;for(var $ in this._layers)if(this._layers[$].hasTransition())return!0;return!1},z.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},z.prototype.update=function(O){if(this._loaded){var $=this._changed;if(this._changed){var pe=Object.keys(this._updatedLayers),de=Object.keys(this._removedLayers);(pe.length||de.length)&&this._updateWorkerLayers(pe,de);for(var Ie in this._updatedSources){var $e=this._updatedSources[Ie];$e===\"reload\"?this._reloadSource(Ie):$e===\"clear\"&&this._clearSource(Ie)}this._updateTilesForChangedImages();for(var pt in this._updatedPaintProps)this._layers[pt].updateTransitions(O);this.light.updateTransitions(O),this._resetUpdates()}var Kt={};for(var ir in this.sourceCaches){var Jt=this.sourceCaches[ir];Kt[ir]=Jt.used,Jt.used=!1}for(var vt=0,Pt=this._order;vt<Pt.length;vt+=1){var Wt=Pt[vt],rr=this._layers[Wt];rr.recalculate(O,this._availableImages),!rr.isHidden(O.zoom)&&rr.source&&(this.sourceCaches[rr.source].used=!0)}for(var dr in Kt){var pr=this.sourceCaches[dr];Kt[dr]!==pr.used&&pr.fire(new i.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:dr}))}this.light.recalculate(O),this.z=O.zoom,$&&this.fire(new i.Event(\"data\",{dataType:\"style\"}))}},z.prototype._updateTilesForChangedImages=function(){var O=Object.keys(this._changedImages);if(O.length){for(var $ in this.sourceCaches)this.sourceCaches[$].reloadTilesForDependencies([\"icons\",\"patterns\"],O);this._changedImages={}}},z.prototype._updateWorkerLayers=function(O,$){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(O),removedIds:$})},z.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},z.prototype.setState=function(O){var $=this;if(this._checkLoaded(),Al(this,i.validateStyle(O)))return!1;O=i.clone$1(O),O.layers=Ra(O.layers);var pe=Yi(this.serialize(),O).filter(function(Ie){return!(Ie.command in Ql)});if(pe.length===0)return!1;var de=pe.filter(function(Ie){return!(Ie.command in Hc)});if(de.length>0)throw new Error(\"Unimplemented: \"+de.map(function(Ie){return Ie.command}).join(\", \")+\".\");return pe.forEach(function(Ie){Ie.command!==\"setTransition\"&&$[Ie.command].apply($,Ie.args)}),this.stylesheet=O,!0},z.prototype.addImage=function(O,$){if(this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(O,$),this._afterImageUpdated(O)},z.prototype.updateImage=function(O,$){this.imageManager.updateImage(O,$)},z.prototype.getImage=function(O){return this.imageManager.getImage(O)},z.prototype.removeImage=function(O){if(!this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(O),this._afterImageUpdated(O)},z.prototype._afterImageUpdated=function(O){this._availableImages=this.imageManager.listImages(),this._changedImages[O]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new i.Event(\"data\",{dataType:\"style\"}))},z.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},z.prototype.addSource=function(O,$,pe){var de=this;if(pe===void 0&&(pe={}),this._checkLoaded(),this.sourceCaches[O]!==void 0)throw new Error(\"There is already a source with this ID\");if(!$.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys($).join(\", \")+\".\");var Ie=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],$e=Ie.indexOf($.type)>=0;if(!($e&&this._validate(i.validateStyle.source,\"sources.\"+O,$,null,pe))){this.map&&this.map._collectResourceTiming&&($.collectResourceTiming=!0);var pt=this.sourceCaches[O]=new Zr(O,$,this.dispatcher);pt.style=this,pt.setEventedParent(this,function(){return{isSourceLoaded:de.loaded(),source:pt.serialize(),sourceId:O}}),pt.onAdd(this.map),this._changed=!0}},z.prototype.removeSource=function(O){if(this._checkLoaded(),this.sourceCaches[O]===void 0)throw new Error(\"There is no source with this ID\");for(var $ in this._layers)if(this._layers[$].source===O)return this.fire(new i.ErrorEvent(new Error('Source \"'+O+'\" cannot be removed while layer \"'+$+'\" is using it.')));var pe=this.sourceCaches[O];delete this.sourceCaches[O],delete this._updatedSources[O],pe.fire(new i.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:O})),pe.setEventedParent(null),pe.clearTiles(),pe.onRemove&&pe.onRemove(this.map),this._changed=!0},z.prototype.setGeoJSONSourceData=function(O,$){this._checkLoaded();var pe=this.sourceCaches[O].getSource();pe.setData($),this._changed=!0},z.prototype.getSource=function(O){return this.sourceCaches[O]&&this.sourceCaches[O].getSource()},z.prototype.addLayer=function(O,$,pe){pe===void 0&&(pe={}),this._checkLoaded();var de=O.id;if(this.getLayer(de)){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+de+'\" already exists on this map')));return}var Ie;if(O.type===\"custom\"){if(Al(this,i.validateCustomStyleLayer(O)))return;Ie=i.createStyleLayer(O)}else{if(typeof O.source==\"object\"&&(this.addSource(de,O.source),O=i.clone$1(O),O=i.extend(O,{source:de})),this._validate(i.validateStyle.layer,\"layers.\"+de,O,{arrayIndex:-1},pe))return;Ie=i.createStyleLayer(O),this._validateLayer(Ie),Ie.setEventedParent(this,{layer:{id:de}}),this._serializedLayers[Ie.id]=Ie.serialize()}var $e=$?this._order.indexOf($):this._order.length;if($&&$e===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+$+'\" does not exist on this map.')));return}if(this._order.splice($e,0,de),this._layerOrderChanged=!0,this._layers[de]=Ie,this._removedLayers[de]&&Ie.source&&Ie.type!==\"custom\"){var pt=this._removedLayers[de];delete this._removedLayers[de],pt.type!==Ie.type?this._updatedSources[Ie.source]=\"clear\":(this._updatedSources[Ie.source]=\"reload\",this.sourceCaches[Ie.source].pause())}this._updateLayer(Ie),Ie.onAdd&&Ie.onAdd(this.map)},z.prototype.moveLayer=function(O,$){this._checkLoaded(),this._changed=!0;var pe=this._layers[O];if(!pe){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be moved.\")));return}if(O!==$){var de=this._order.indexOf(O);this._order.splice(de,1);var Ie=$?this._order.indexOf($):this._order.length;if($&&Ie===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+$+'\" does not exist on this map.')));return}this._order.splice(Ie,0,O),this._layerOrderChanged=!0}},z.prototype.removeLayer=function(O){this._checkLoaded();var $=this._layers[O];if(!$){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be removed.\")));return}$.setEventedParent(null);var pe=this._order.indexOf(O);this._order.splice(pe,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[O]=$,delete this._layers[O],delete this._serializedLayers[O],delete this._updatedLayers[O],delete this._updatedPaintProps[O],$.onRemove&&$.onRemove(this.map)},z.prototype.getLayer=function(O){return this._layers[O]},z.prototype.hasLayer=function(O){return O in this._layers},z.prototype.setLayerZoomRange=function(O,$,pe){this._checkLoaded();var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot have zoom extent.\")));return}de.minzoom===$&&de.maxzoom===pe||($!=null&&(de.minzoom=$),pe!=null&&(de.maxzoom=pe),this._updateLayer(de))},z.prototype.setFilter=function(O,$,pe){pe===void 0&&(pe={}),this._checkLoaded();var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!i.deepEqual(de.filter,$)){if($==null){de.filter=void 0,this._updateLayer(de);return}this._validate(i.validateStyle.filter,\"layers.\"+de.id+\".filter\",$,null,pe)||(de.filter=i.clone$1($),this._updateLayer(de))}},z.prototype.getFilter=function(O){return i.clone$1(this.getLayer(O).filter)},z.prototype.setLayoutProperty=function(O,$,pe,de){de===void 0&&(de={}),this._checkLoaded();var Ie=this.getLayer(O);if(!Ie){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}i.deepEqual(Ie.getLayoutProperty($),pe)||(Ie.setLayoutProperty($,pe,de),this._updateLayer(Ie))},z.prototype.getLayoutProperty=function(O,$){var pe=this.getLayer(O);if(!pe){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style.\")));return}return pe.getLayoutProperty($)},z.prototype.setPaintProperty=function(O,$,pe,de){de===void 0&&(de={}),this._checkLoaded();var Ie=this.getLayer(O);if(!Ie){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}if(!i.deepEqual(Ie.getPaintProperty($),pe)){var $e=Ie.setPaintProperty($,pe,de);$e&&this._updateLayer(Ie),this._changed=!0,this._updatedPaintProps[O]=!0}},z.prototype.getPaintProperty=function(O,$){return this.getLayer(O).getPaintProperty($)},z.prototype.setFeatureState=function(O,$){this._checkLoaded();var pe=O.source,de=O.sourceLayer,Ie=this.sourceCaches[pe];if(Ie===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+pe+\"' does not exist in the map's style.\")));return}var $e=Ie.getSource().type;if($e===\"geojson\"&&de){this.fire(new i.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if($e===\"vector\"&&!de){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),Ie.setFeatureState(de,O.id,$)},z.prototype.removeFeatureState=function(O,$){this._checkLoaded();var pe=O.source,de=this.sourceCaches[pe];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+pe+\"' does not exist in the map's style.\")));return}var Ie=de.getSource().type,$e=Ie===\"vector\"?O.sourceLayer:void 0;if(Ie===\"vector\"&&!$e){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if($&&typeof O.id!=\"string\"&&typeof O.id!=\"number\"){this.fire(new i.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}de.removeFeatureState($e,O.id,$)},z.prototype.getFeatureState=function(O){this._checkLoaded();var $=O.source,pe=O.sourceLayer,de=this.sourceCaches[$];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+$+\"' does not exist in the map's style.\")));return}var Ie=de.getSource().type;if(Ie===\"vector\"&&!pe){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),de.getFeatureState(pe,O.id)},z.prototype.getTransition=function(){return i.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},z.prototype.serialize=function(){return i.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:i.mapObject(this.sourceCaches,function(O){return O.serialize()}),layers:this._serializeLayers(this._order)},function(O){return O!==void 0})},z.prototype._updateLayer=function(O){this._updatedLayers[O.id]=!0,O.source&&!this._updatedSources[O.source]&&this.sourceCaches[O.source].getSource().type!==\"raster\"&&(this._updatedSources[O.source]=\"reload\",this.sourceCaches[O.source].pause()),this._changed=!0},z.prototype._flattenAndSortRenderedFeatures=function(O){for(var $=this,pe=function(ln){return $._layers[ln].type===\"fill-extrusion\"},de={},Ie=[],$e=this._order.length-1;$e>=0;$e--){var pt=this._order[$e];if(pe(pt)){de[pt]=$e;for(var Kt=0,ir=O;Kt<ir.length;Kt+=1){var Jt=ir[Kt],vt=Jt[pt];if(vt)for(var Pt=0,Wt=vt;Pt<Wt.length;Pt+=1){var rr=Wt[Pt];Ie.push(rr)}}}}Ie.sort(function(ln,Qn){return Qn.intersectionZ-ln.intersectionZ});for(var dr=[],pr=this._order.length-1;pr>=0;pr--){var kr=this._order[pr];if(pe(kr))for(var Ar=Ie.length-1;Ar>=0;Ar--){var gr=Ie[Ar].feature;if(de[gr.layer.id]<pr)break;dr.push(gr),Ie.pop()}else for(var Cr=0,cr=O;Cr<cr.length;Cr+=1){var Gr=cr[Cr],ei=Gr[kr];if(ei)for(var yi=0,tn=ei;yi<tn.length;yi+=1){var Ri=tn[yi];dr.push(Ri.feature)}}}return dr},z.prototype.queryRenderedFeatures=function(O,$,pe){$&&$.filter&&this._validate(i.validateStyle.filter,\"queryRenderedFeatures.filter\",$.filter,null,$);var de={};if($&&$.layers){if(!Array.isArray($.layers))return this.fire(new i.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var Ie=0,$e=$.layers;Ie<$e.length;Ie+=1){var pt=$e[Ie],Kt=this._layers[pt];if(!Kt)return this.fire(new i.ErrorEvent(new Error(\"The layer '\"+pt+\"' does not exist in the map's style and cannot be queried for features.\"))),[];de[Kt.source]=!0}}var ir=[];$.availableImages=this._availableImages;for(var Jt in this.sourceCaches)$.layers&&!de[Jt]||ir.push(ce(this.sourceCaches[Jt],this._layers,this._serializedLayers,O,$,pe));return this.placement&&ir.push(Ge(this._layers,this._serializedLayers,this.sourceCaches,O,$,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(ir)},z.prototype.querySourceFeatures=function(O,$){$&&$.filter&&this._validate(i.validateStyle.filter,\"querySourceFeatures.filter\",$.filter,null,$);var pe=this.sourceCaches[O];return pe?nt(pe,$):[]},z.prototype.addSourceType=function(O,$,pe){if(z.getSourceType(O))return pe(new Error('A source type called \"'+O+'\" already exists.'));if(z.setSourceType(O,$),!$.workerSourceURL)return pe(null,null);this.dispatcher.broadcast(\"loadWorkerSource\",{name:O,url:$.workerSourceURL},pe)},z.prototype.getLight=function(){return this.light.getLight()},z.prototype.setLight=function(O,$){$===void 0&&($={}),this._checkLoaded();var pe=this.light.getLight(),de=!1;for(var Ie in O)if(!i.deepEqual(O[Ie],pe[Ie])){de=!0;break}if(de){var $e={now:i.browser.now(),transition:i.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(O,$),this.light.updateTransitions($e)}},z.prototype._validate=function(O,$,pe,de,Ie){return Ie===void 0&&(Ie={}),Ie&&Ie.validate===!1?!1:Al(this,O.call(i.validateStyle,i.extend({key:$,style:this.serialize(),value:pe,styleSpec:i.styleSpec},de)))},z.prototype._remove=function(){this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),i.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback);for(var O in this._layers){var $=this._layers[O];$.setEventedParent(null)}for(var pe in this.sourceCaches)this.sourceCaches[pe].clearTiles(),this.sourceCaches[pe].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},z.prototype._clearSource=function(O){this.sourceCaches[O].clearTiles()},z.prototype._reloadSource=function(O){this.sourceCaches[O].resume(),this.sourceCaches[O].reload()},z.prototype._updateSources=function(O){for(var $ in this.sourceCaches)this.sourceCaches[$].update(O)},z.prototype._generateCollisionBoxes=function(){for(var O in this.sourceCaches)this._reloadSource(O)},z.prototype._updatePlacement=function(O,$,pe,de,Ie){Ie===void 0&&(Ie=!1);for(var $e=!1,pt=!1,Kt={},ir=0,Jt=this._order;ir<Jt.length;ir+=1){var vt=Jt[ir],Pt=this._layers[vt];if(Pt.type===\"symbol\"){if(!Kt[Pt.source]){var Wt=this.sourceCaches[Pt.source];Kt[Pt.source]=Wt.getRenderableIds(!0).map(function(Cr){return Wt.getTileByID(Cr)}).sort(function(Cr,cr){return cr.tileID.overscaledZ-Cr.tileID.overscaledZ||(Cr.tileID.isLessThan(cr.tileID)?-1:1)})}var rr=this.crossTileSymbolIndex.addLayer(Pt,Kt[Pt.source],O.center.lng);$e=$e||rr}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),Ie=Ie||this._layerOrderChanged||pe===0,(Ie||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(i.browser.now(),O.zoom))&&(this.pauseablePlacement=new Co(O,this._order,Ie,$,pe,de,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,Kt),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(i.browser.now()),pt=!0),$e&&this.pauseablePlacement.placement.setStale()),pt||$e)for(var dr=0,pr=this._order;dr<pr.length;dr+=1){var kr=pr[dr],Ar=this._layers[kr];Ar.type===\"symbol\"&&this.placement.updateLayerOpacities(Ar,Kt[Ar.source])}var gr=!this.pauseablePlacement.isDone()||this.placement.hasTransitions(i.browser.now());return gr},z.prototype._releaseSymbolFadeTiles=function(){for(var O in this.sourceCaches)this.sourceCaches[O].releaseSymbolFadeTiles()},z.prototype.getImages=function(O,$,pe){this.imageManager.getImages($.icons,pe),this._updateTilesForChangedImages();var de=this.sourceCaches[$.source];de&&de.setDependencies($.tileID.key,$.type,$.icons)},z.prototype.getGlyphs=function(O,$,pe){this.glyphManager.getGlyphs($.stacks,pe)},z.prototype.getResource=function(O,$,pe){return i.makeRequest($,pe)},z}(i.Evented);mu.getSourceType=ze,mu.setSourceType=Ce,mu.registerForPluginStateChange=i.registerForPluginStateChange;var kc=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Of=`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif`,Gc=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}`,vd=`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Bf=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",ss=`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ff=\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\",ih=`varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ul=`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`,Js=\"void main() {gl_FragColor=vec4(1.0);}\",hc=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Cc=`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ws=`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}`,$s=`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,hs=\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\",Ms=\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",dc=\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\",Sl=\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",ec=\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\",Ps=\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",ov=\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\",wo=`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Od=`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`,$o=`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ja=`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,Ef=`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,tc=`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,uu=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Mh=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`,jc=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,kf=`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`,Ml=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Yh=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`,Eh=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,nh=\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\",hf=`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,kh=\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\",Kh=`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,rc=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,ah=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Wc=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,df=`uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Cu=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`,Nf=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Zc=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`,ds=`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ch=\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\",Bd=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Jh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}`,Cf=`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,pd=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`,Lu=`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,$h=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`,eu=Is(Of,Gc),Pu=Is(vd,Bf),Lc=Is(ss,ff),fl=Is(ih,Ul),Xc=Is(Js,hc),ic=Is(Cc,ws),yu=Is($s,hs),Qs=Is(Ms,dc),Qh=Is(Sl,ec),gd=Is(Ps,ov),Gu=Is(wo,Od),Pc=Is($o,Ja),vc=Is(Ef,tc),sv=Is(uu,Mh),Lf=Is(jc,kf),Uf=Is(Ml,Yh),Iu=Is(Eh,nh),oh=Is(hf,kh),tu=Is(Kh,rc),vf=Is(ah,Wc),md=Is(df,Cu),sh=Is(Nf,Zc),Fs=Is(ds,Ch),_u=Is(Bd,Jh),xu=Is(Cf,pd),Lh=Is(Lu,$h);function Is(Y,z){var K=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,O=z.match(/attribute ([\\w]+) ([\\w]+)/g),$=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),pe=z.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),de=pe?pe.concat($):$,Ie={};return Y=Y.replace(K,function($e,pt,Kt,ir,Jt){return Ie[Jt]=!0,pt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "varying `+Kt+\" \"+ir+\" \"+Jt+`;\n",
+       "#else\n",
+       "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`}),z=z.replace(K,function($e,pt,Kt,ir,Jt){var vt=ir===\"float\"?\"vec2\":\"vec4\",Pt=Jt.match(/color/)?\"color\":vt;return Ie[Jt]?pt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "uniform lowp float u_`+Jt+`_t;\n",
+       "attribute `+Kt+\" \"+vt+\" a_\"+Jt+`;\n",
+       "varying `+Kt+\" \"+ir+\" \"+Jt+`;\n",
+       "#else\n",
+       "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:Pt===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Jt+\" = a_\"+Jt+`;\n",
+       "#else\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Jt+\" = unpack_mix_\"+Pt+\"(a_\"+Jt+\", u_\"+Jt+`_t);\n",
+       "#else\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:pt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "uniform lowp float u_`+Jt+`_t;\n",
+       "attribute `+Kt+\" \"+vt+\" a_\"+Jt+`;\n",
+       "#else\n",
+       "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:Pt===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = a_\"+Jt+`;\n",
+       "#else\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Jt+`\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = unpack_mix_\"+Pt+\"(a_\"+Jt+\", u_\"+Jt+`_t);\n",
+       "#else\n",
+       "    `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n",
+       "#endif\n",
+       "`}),{fragmentSource:Y,vertexSource:z,staticAttributes:O,staticUniforms:de}}var Pf=Object.freeze({__proto__:null,prelude:eu,background:Pu,backgroundPattern:Lc,circle:fl,clippingMask:Xc,heatmap:ic,heatmapTexture:yu,collisionBox:Qs,collisionCircle:Qh,debug:gd,fill:Gu,fillOutline:Pc,fillOutlinePattern:vc,fillPattern:sv,fillExtrusion:Lf,fillExtrusionPattern:Uf,hillshadePrepare:Iu,hillshade:oh,line:tu,lineGradient:vf,linePattern:md,lineSDF:sh,raster:Fs,symbolIcon:_u,symbolSDF:xu,symbolTextAndIcon:Lh}),Ic=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Ic.prototype.bind=function(z,K,O,$,pe,de,Ie,$e){this.context=z;for(var pt=this.boundPaintVertexBuffers.length!==$.length,Kt=0;!pt&&Kt<$.length;Kt++)this.boundPaintVertexBuffers[Kt]!==$[Kt]&&(pt=!0);var ir=!this.vao||this.boundProgram!==K||this.boundLayoutVertexBuffer!==O||pt||this.boundIndexBuffer!==pe||this.boundVertexOffset!==de||this.boundDynamicVertexBuffer!==Ie||this.boundDynamicVertexBuffer2!==$e;!z.extVertexArrayObject||ir?this.freshBind(K,O,$,pe,de,Ie,$e):(z.bindVertexArrayOES.set(this.vao),Ie&&Ie.bind(),pe&&pe.dynamicDraw&&pe.bind(),$e&&$e.bind())},Ic.prototype.freshBind=function(z,K,O,$,pe,de,Ie){var $e,pt=z.numAttributes,Kt=this.context,ir=Kt.gl;if(Kt.extVertexArrayObject)this.vao&&this.destroy(),this.vao=Kt.extVertexArrayObject.createVertexArrayOES(),Kt.bindVertexArrayOES.set(this.vao),$e=0,this.boundProgram=z,this.boundLayoutVertexBuffer=K,this.boundPaintVertexBuffers=O,this.boundIndexBuffer=$,this.boundVertexOffset=pe,this.boundDynamicVertexBuffer=de,this.boundDynamicVertexBuffer2=Ie;else{$e=Kt.currentNumAttributes||0;for(var Jt=pt;Jt<$e;Jt++)ir.disableVertexAttribArray(Jt)}K.enableAttributes(ir,z);for(var vt=0,Pt=O;vt<Pt.length;vt+=1){var Wt=Pt[vt];Wt.enableAttributes(ir,z)}de&&de.enableAttributes(ir,z),Ie&&Ie.enableAttributes(ir,z),K.bind(),K.setVertexAttribPointers(ir,z,pe);for(var rr=0,dr=O;rr<dr.length;rr+=1){var pr=dr[rr];pr.bind(),pr.setVertexAttribPointers(ir,z,pe)}de&&(de.bind(),de.setVertexAttribPointers(ir,z,pe)),$&&$.bind(),Ie&&(Ie.bind(),Ie.setVertexAttribPointers(ir,z,pe)),Kt.currentNumAttributes=pt},Ic.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};function ju(Y){for(var z=[],K=0;K<Y.length;K++)if(Y[K]!==null){var O=Y[K].split(\" \");z.push(O.pop())}return z}var Vf=function(z,K,O,$,pe,de){var Ie=z.gl;this.program=Ie.createProgram();for(var $e=ju(O.staticAttributes),pt=$?$.getBinderAttributes():[],Kt=$e.concat(pt),ir=O.staticUniforms?ju(O.staticUniforms):[],Jt=$?$.getBinderUniforms():[],vt=ir.concat(Jt),Pt=[],Wt=0,rr=vt;Wt<rr.length;Wt+=1){var dr=rr[Wt];Pt.indexOf(dr)<0&&Pt.push(dr)}var pr=$?$.defines():[];de&&pr.push(\"#define OVERDRAW_INSPECTOR;\");var kr=pr.concat(eu.fragmentSource,O.fragmentSource).join(`\n",
+       "`),Ar=pr.concat(eu.vertexSource,O.vertexSource).join(`\n",
+       "`),gr=Ie.createShader(Ie.FRAGMENT_SHADER);if(Ie.isContextLost()){this.failedToCreate=!0;return}Ie.shaderSource(gr,kr),Ie.compileShader(gr),Ie.attachShader(this.program,gr);var Cr=Ie.createShader(Ie.VERTEX_SHADER);if(Ie.isContextLost()){this.failedToCreate=!0;return}Ie.shaderSource(Cr,Ar),Ie.compileShader(Cr),Ie.attachShader(this.program,Cr),this.attributes={};var cr={};this.numAttributes=Kt.length;for(var Gr=0;Gr<this.numAttributes;Gr++)Kt[Gr]&&(Ie.bindAttribLocation(this.program,Gr,Kt[Gr]),this.attributes[Kt[Gr]]=Gr);Ie.linkProgram(this.program),Ie.deleteShader(Cr),Ie.deleteShader(gr);for(var ei=0;ei<Pt.length;ei++){var yi=Pt[ei];if(yi&&!cr[yi]){var tn=Ie.getUniformLocation(this.program,yi);tn&&(cr[yi]=tn)}}this.fixedUniforms=pe(z,cr),this.binderUniforms=$?$.getUniforms(z,cr):[]};Vf.prototype.draw=function(z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt,Pt,Wt,rr){var dr,pr=z.gl;if(!this.failedToCreate){z.program.set(this.program),z.setDepthMode(O),z.setStencilMode($),z.setColorMode(pe),z.setCullFace(de);for(var kr in this.fixedUniforms)this.fixedUniforms[kr].set(Ie[kr]);Pt&&Pt.setUniforms(z,this.binderUniforms,Jt,{zoom:vt});for(var Ar=(dr={},dr[pr.LINES]=2,dr[pr.TRIANGLES]=3,dr[pr.LINE_STRIP]=1,dr)[K],gr=0,Cr=ir.get();gr<Cr.length;gr+=1){var cr=Cr[gr],Gr=cr.vaos||(cr.vaos={}),ei=Gr[$e]||(Gr[$e]=new Ic);ei.bind(z,this,pt,Pt?Pt.getPaintVertexBuffers():[],Kt,cr.vertexOffset,Wt,rr),pr.drawElements(K,cr.primitiveLength*Ar,pr.UNSIGNED_SHORT,cr.primitiveOffset*Ar*2)}}};function pc(Y,z,K){var O=1/Cs(K,1,z.transform.tileZoom),$=Math.pow(2,K.tileID.overscaledZ),pe=K.tileSize*Math.pow(2,z.transform.tileZoom)/$,de=pe*(K.tileID.canonical.x+K.tileID.wrap*$),Ie=pe*K.tileID.canonical.y;return{u_image:0,u_texsize:K.imageAtlasTexture.size,u_scale:[O,Y.fromScale,Y.toScale],u_fade:Y.t,u_pixel_coord_upper:[de>>16,Ie>>16],u_pixel_coord_lower:[de&65535,Ie&65535]}}function pf(Y,z,K,O){var $=K.imageManager.getPattern(Y.from.toString()),pe=K.imageManager.getPattern(Y.to.toString()),de=K.imageManager.getPixelSize(),Ie=de.width,$e=de.height,pt=Math.pow(2,O.tileID.overscaledZ),Kt=O.tileSize*Math.pow(2,K.transform.tileZoom)/pt,ir=Kt*(O.tileID.canonical.x+O.tileID.wrap*pt),Jt=Kt*O.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:$.tl,u_pattern_br_a:$.br,u_pattern_tl_b:pe.tl,u_pattern_br_b:pe.br,u_texsize:[Ie,$e],u_mix:z.t,u_pattern_size_a:$.displaySize,u_pattern_size_b:pe.displaySize,u_scale_a:z.fromScale,u_scale_b:z.toScale,u_tile_units_to_pixels:1/Cs(O,1,K.transform.tileZoom),u_pixel_coord_upper:[ir>>16,Jt>>16],u_pixel_coord_lower:[ir&65535,Jt&65535]}}var Ph=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_lightpos:new i.Uniform3f(Y,z.u_lightpos),u_lightintensity:new i.Uniform1f(Y,z.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,z.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,z.u_vertical_gradient),u_opacity:new i.Uniform1f(Y,z.u_opacity)}},Rl=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_lightpos:new i.Uniform3f(Y,z.u_lightpos),u_lightintensity:new i.Uniform1f(Y,z.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,z.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,z.u_vertical_gradient),u_height_factor:new i.Uniform1f(Y,z.u_height_factor),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade),u_opacity:new i.Uniform1f(Y,z.u_opacity)}},Ih=function(Y,z,K,O){var $=z.style.light,pe=$.properties.get(\"position\"),de=[pe.x,pe.y,pe.z],Ie=i.create$1();$.properties.get(\"anchor\")===\"viewport\"&&i.fromRotation(Ie,-z.transform.angle),i.transformMat3(de,de,Ie);var $e=$.properties.get(\"color\");return{u_matrix:Y,u_lightpos:de,u_lightintensity:$.properties.get(\"intensity\"),u_lightcolor:[$e.r,$e.g,$e.b],u_vertical_gradient:+K,u_opacity:O}},Wu=function(Y,z,K,O,$,pe,de){return i.extend(Ih(Y,z,K,O),pc(pe,z,de),{u_height_factor:-Math.pow(2,$.overscaledZ)/de.tileSize/8})},Rc=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},gc=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade)}},hl=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_world:new i.Uniform2f(Y,z.u_world)}},ru=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_world:new i.Uniform2f(Y,z.u_world),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade)}},mc=function(Y){return{u_matrix:Y}},Yc=function(Y,z,K,O){return i.extend(mc(Y),pc(K,z,O))},nc=function(Y,z){return{u_matrix:Y,u_world:z}},gf=function(Y,z,K,O,$){return i.extend(Yc(Y,z,K,O),{u_world:$})},gt=function(Y,z){return{u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_scale_with_map:new i.Uniform1i(Y,z.u_scale_with_map),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_extrude_scale:new i.Uniform2f(Y,z.u_extrude_scale),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},Bt=function(Y,z,K,O){var $=Y.transform,pe,de;if(O.paint.get(\"circle-pitch-alignment\")===\"map\"){var Ie=Cs(K,1,$.zoom);pe=!0,de=[Ie,Ie]}else 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O=Cs(K,1,z.zoom),$=Math.pow(2,z.zoom-K.tileID.overscaledZ),pe=K.tileID.overscaleFactor();return{u_matrix:Y,u_camera_to_center_distance:z.cameraToCenterDistance,u_pixels_to_tile_units:O,u_extrude_scale:[z.pixelsToGLUnits[0]/(O*$),z.pixelsToGLUnits[1]/(O*$)],u_overscale_factor:pe}},fi=function(Y,z,K){return{u_matrix:Y,u_inv_matrix:z,u_camera_to_center_distance:K.cameraToCenterDistance,u_viewport_size:[K.width,K.height]}},xi=function(Y,z){return{u_color:new i.UniformColor(Y,z.u_color),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_overlay:new i.Uniform1i(Y,z.u_overlay),u_overlay_scale:new i.Uniform1f(Y,z.u_overlay_scale)}},Fi=function(Y,z,K){return K===void 0&&(K=1),{u_matrix:Y,u_color:z,u_overlay:0,u_overlay_scale:K}},Xi=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},hn=function(Y){return{u_matrix:Y}},Ti=function(Y,z){return{u_extrude_scale:new i.Uniform1f(Y,z.u_extrude_scale),u_intensity:new i.Uniform1f(Y,z.u_intensity),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},qi=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_world:new i.Uniform2f(Y,z.u_world),u_image:new i.Uniform1i(Y,z.u_image),u_color_ramp:new i.Uniform1i(Y,z.u_color_ramp),u_opacity:new i.Uniform1f(Y,z.u_opacity)}},Ii=function(Y,z,K,O){return{u_matrix:Y,u_extrude_scale:Cs(z,1,K),u_intensity:O}},mi=function(Y,z,K,O){var $=i.create();i.ortho($,0,Y.width,Y.height,0,0,1);var pe=Y.context.gl;return{u_matrix:$,u_world:[pe.drawingBufferWidth,pe.drawingBufferHeight],u_image:K,u_color_ramp:O,u_opacity:z.paint.get(\"heatmap-opacity\")}},Pn=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_image:new i.Uniform1i(Y,z.u_image),u_latrange:new i.Uniform2f(Y,z.u_latrange),u_light:new i.Uniform2f(Y,z.u_light),u_shadow:new i.UniformColor(Y,z.u_shadow),u_highlight:new i.UniformColor(Y,z.u_highlight),u_accent:new i.UniformColor(Y,z.u_accent)}},Ma=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_image:new i.Uniform1i(Y,z.u_image),u_dimension:new i.Uniform2f(Y,z.u_dimension),u_zoom:new i.Uniform1f(Y,z.u_zoom),u_unpack:new i.Uniform4f(Y,z.u_unpack)}},Ta=function(Y,z,K){var O=K.paint.get(\"hillshade-shadow-color\"),$=K.paint.get(\"hillshade-highlight-color\"),pe=K.paint.get(\"hillshade-accent-color\"),de=K.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);K.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(de-=Y.transform.angle);var Ie=!Y.options.moving;return{u_matrix:Y.transform.calculatePosMatrix(z.tileID.toUnwrapped(),Ie),u_image:0,u_latrange:qa(Y,z.tileID),u_light:[K.paint.get(\"hillshade-exaggeration\"),de],u_shadow:O,u_highlight:$,u_accent:pe}},Ea=function(Y,z){var K=z.stride,O=i.create();return i.ortho(O,0,i.EXTENT,-i.EXTENT,0,0,1),i.translate(O,O,[0,-i.EXTENT,0]),{u_matrix:O,u_image:1,u_dimension:[K,K],u_zoom:Y.overscaledZ,u_unpack:z.getUnpackVector()}};function qa(Y,z){var K=Math.pow(2,z.canonical.z),O=z.canonical.y;return[new i.MercatorCoordinate(0,O/K).toLngLat().lat,new i.MercatorCoordinate(0,(O+1)/K).toLngLat().lat]}var Cn=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_ratio:new i.Uniform1f(Y,z.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,z.u_units_to_pixels)}},sn=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_ratio:new i.Uniform1f(Y,z.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,z.u_units_to_pixels),u_image:new i.Uniform1i(Y,z.u_image),u_image_height:new i.Uniform1f(Y,z.u_image_height)}},Ua=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_ratio:new i.Uniform1f(Y,z.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_image:new i.Uniform1i(Y,z.u_image),u_units_to_pixels:new i.Uniform2f(Y,z.u_units_to_pixels),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new 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$=Y.transform,pe=Bo(z,$);return{u_matrix:yl(Y,z,K),u_texsize:z.imageAtlasTexture.size,u_ratio:1/Cs(z,1,$.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_image:0,u_scale:[pe,O.fromScale,O.toScale],u_fade:O.t,u_units_to_pixels:[1/$.pixelsToGLUnits[0],1/$.pixelsToGLUnits[1]]}},ys=function(Y,z,K,O,$){var pe=Y.transform,de=Y.lineAtlas,Ie=Bo(z,pe),$e=K.layout.get(\"line-cap\")===\"round\",pt=de.getDash(O.from,$e),Kt=de.getDash(O.to,$e),ir=pt.width*$.fromScale,Jt=Kt.width*$.toScale;return i.extend(Xo(Y,z,K),{u_patternscale_a:[Ie/ir,-pt.height/2],u_patternscale_b:[Ie/Jt,-Kt.height/2],u_sdfgamma:de.width/(Math.min(ir,Jt)*256*i.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:pt.y,u_tex_y_b:Kt.y,u_mix:$.t})};function Bo(Y,z){return 1/Cs(Y,1,z.tileZoom)}function yl(Y,z,K){return Y.translatePosMatrix(z.tileID.posMatrix,z,K.paint.get(\"line-translate\"),K.paint.get(\"line-translate-anchor\"))}var Gs=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_tl_parent:new i.Uniform2f(Y,z.u_tl_parent),u_scale_parent:new i.Uniform1f(Y,z.u_scale_parent),u_buffer_scale:new i.Uniform1f(Y,z.u_buffer_scale),u_fade_t:new i.Uniform1f(Y,z.u_fade_t),u_opacity:new i.Uniform1f(Y,z.u_opacity),u_image0:new i.Uniform1i(Y,z.u_image0),u_image1:new i.Uniform1i(Y,z.u_image1),u_brightness_low:new i.Uniform1f(Y,z.u_brightness_low),u_brightness_high:new i.Uniform1f(Y,z.u_brightness_high),u_saturation_factor:new i.Uniform1f(Y,z.u_saturation_factor),u_contrast_factor:new i.Uniform1f(Y,z.u_contrast_factor),u_spin_weights:new i.Uniform3f(Y,z.u_spin_weights)}},Rs=function(Y,z,K,O,$){return{u_matrix:Y,u_tl_parent:z,u_scale_parent:K,u_buffer_scale:1,u_fade_t:O.mix,u_opacity:O.opacity*$.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:$.paint.get(\"raster-brightness-min\"),u_brightness_high:$.paint.get(\"raster-brightness-max\"),u_saturation_factor:vs($.paint.get(\"raster-saturation\")),u_contrast_factor:Ka($.paint.get(\"raster-contrast\")),u_spin_weights:ia($.paint.get(\"raster-hue-rotate\"))}};function ia(Y){Y*=Math.PI/180;var z=Math.sin(Y),K=Math.cos(Y);return[(2*K+1)/3,(-Math.sqrt(3)*z-K+1)/3,(Math.sqrt(3)*z-K+1)/3]}function Ka(Y){return Y>0?1/(1-Y):1+Y}function vs(Y){return Y>0?1-1/(1.001-Y):-Y}var Ko=function(Y,z){return{u_is_size_zoom_constant:new i.Uniform1i(Y,z.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,z.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,z.u_size_t),u_size:new i.Uniform1f(Y,z.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,z.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,z.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,z.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,z.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,z.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,z.u_coord_matrix),u_is_text:new i.Uniform1i(Y,z.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_texture:new i.Uniform1i(Y,z.u_texture)}},iu=function(Y,z){return{u_is_size_zoom_constant:new i.Uniform1i(Y,z.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,z.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,z.u_size_t),u_size:new i.Uniform1f(Y,z.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,z.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,z.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,z.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,z.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,z.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,z.u_coord_matrix),u_is_text:new i.Uniform1i(Y,z.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_texture:new i.Uniform1i(Y,z.u_texture),u_gamma_scale:new i.Uniform1f(Y,z.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,z.u_is_halo)}},Ru=function(Y,z){return{u_is_size_zoom_constant:new i.Uniform1i(Y,z.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,z.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,z.u_size_t),u_size:new i.Uniform1f(Y,z.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,z.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,z.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,z.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,z.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,z.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,z.u_coord_matrix),u_is_text:new i.Uniform1i(Y,z.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_texsize_icon:new i.Uniform2f(Y,z.u_texsize_icon),u_texture:new i.Uniform1i(Y,z.u_texture),u_texture_icon:new i.Uniform1i(Y,z.u_texture_icon),u_gamma_scale:new i.Uniform1f(Y,z.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,z.u_is_halo)}},ac=function(Y,z,K,O,$,pe,de,Ie,$e,pt){var Kt=$.transform;return{u_is_size_zoom_constant:+(Y===\"constant\"||Y===\"source\"),u_is_size_feature_constant:+(Y===\"constant\"||Y===\"camera\"),u_size_t:z?z.uSizeT:0,u_size:z?z.uSize:0,u_camera_to_center_distance:Kt.cameraToCenterDistance,u_pitch:Kt.pitch/360*2*Math.PI,u_rotate_symbol:+K,u_aspect_ratio:Kt.width/Kt.height,u_fade_change:$.options.fadeDuration?$.symbolFadeChange:1,u_matrix:pe,u_label_plane_matrix:de,u_coord_matrix:Ie,u_is_text:+$e,u_pitch_with_map:+O,u_texsize:pt,u_texture:0}},mf=function(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt){var ir=$.transform;return i.extend(ac(Y,z,K,O,$,pe,de,Ie,$e,pt),{u_gamma_scale:O?Math.cos(ir._pitch)*ir.cameraToCenterDistance:1,u_device_pixel_ratio:i.browser.devicePixelRatio,u_is_halo:+Kt})},bu=function(Y,z,K,O,$,pe,de,Ie,$e,pt){return i.extend(mf(Y,z,K,O,$,pe,de,Ie,!0,$e,!0),{u_texsize_icon:pt,u_texture_icon:1})},Kc=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_opacity:new i.Uniform1f(Y,z.u_opacity),u_color:new i.UniformColor(Y,z.u_color)}},Du=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_opacity:new i.Uniform1f(Y,z.u_opacity),u_image:new i.Uniform1i(Y,z.u_image),u_pattern_tl_a:new i.Uniform2f(Y,z.u_pattern_tl_a),u_pattern_br_a:new i.Uniform2f(Y,z.u_pattern_br_a),u_pattern_tl_b:new i.Uniform2f(Y,z.u_pattern_tl_b),u_pattern_br_b:new i.Uniform2f(Y,z.u_pattern_br_b),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_mix:new i.Uniform1f(Y,z.u_mix),u_pattern_size_a:new i.Uniform2f(Y,z.u_pattern_size_a),u_pattern_size_b:new i.Uniform2f(Y,z.u_pattern_size_b),u_scale_a:new i.Uniform1f(Y,z.u_scale_a),u_scale_b:new i.Uniform1f(Y,z.u_scale_b),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_tile_units_to_pixels:new i.Uniform1f(Y,z.u_tile_units_to_pixels)}},Dc=function(Y,z,K){return{u_matrix:Y,u_opacity:z,u_color:K}},Da=function(Y,z,K,O,$,pe){return i.extend(pf(O,pe,K,$),{u_matrix:Y,u_opacity:z})},eo={fillExtrusion:Ph,fillExtrusionPattern:Rl,fill:Rc,fillPattern:gc,fillOutline:hl,fillOutlinePattern:ru,circle:gt,collisionBox:wr,collisionCircle:vr,debug:xi,clippingMask:Xi,heatmap:Ti,heatmapTexture:qi,hillshade:Pn,hillshadePrepare:Ma,line:Cn,lineGradient:sn,linePattern:Ua,lineSDF:mo,raster:Gs,symbolIcon:Ko,symbolSDF:iu,symbolTextAndIcon:Ru,background:Kc,backgroundPattern:Du},Jc;function yc(Y,z,K,O,$,pe,de){for(var Ie=Y.context,$e=Ie.gl,pt=Y.useProgram(\"collisionBox\"),Kt=[],ir=0,Jt=0,vt=0;vt<O.length;vt++){var Pt=O[vt],Wt=z.getTile(Pt),rr=Wt.getBucket(K);if(rr){var dr=Pt.posMatrix;($[0]!==0||$[1]!==0)&&(dr=Y.translatePosMatrix(Pt.posMatrix,Wt,$,pe));var pr=de?rr.textCollisionBox:rr.iconCollisionBox,kr=rr.collisionCircleArray;if(kr.length>0){var Ar=i.create(),gr=dr;i.mul(Ar,rr.placementInvProjMatrix,Y.transform.glCoordMatrix),i.mul(Ar,Ar,rr.placementViewportMatrix),Kt.push({circleArray:kr,circleOffset:Jt,transform:gr,invTransform:Ar}),ir+=kr.length/4,Jt=ir}pr&&pt.draw(Ie,$e.LINES,Wi.disabled,$i.disabled,Y.colorModeForRenderPass(),yr.disabled,Ur(dr,Y.transform,Wt),K.id,pr.layoutVertexBuffer,pr.indexBuffer,pr.segments,null,Y.transform.zoom,null,null,pr.collisionVertexBuffer)}}if(!(!de||!Kt.length)){var Cr=Y.useProgram(\"collisionCircle\"),cr=new i.StructArrayLayout2f1f2i16;cr.resize(ir*4),cr._trim();for(var Gr=0,ei=0,yi=Kt;ei<yi.length;ei+=1)for(var tn=yi[ei],Ri=0;Ri<tn.circleArray.length/4;Ri++){var ln=Ri*4,Qn=tn.circleArray[ln+0],qn=tn.circleArray[ln+1],rn=tn.circleArray[ln+2],bn=tn.circleArray[ln+3];cr.emplace(Gr++,Qn,qn,rn,bn,0),cr.emplace(Gr++,Qn,qn,rn,bn,1),cr.emplace(Gr++,Qn,qn,rn,bn,2),cr.emplace(Gr++,Qn,qn,rn,bn,3)}(!Jc||Jc.length<ir*2)&&(Jc=_c(ir));for(var mn=Ie.createIndexBuffer(Jc,!0),Gn=Ie.createVertexBuffer(cr,i.collisionCircleLayout.members,!0),da=0,No=Kt;da<No.length;da+=1){var Do=No[da],ps=fi(Do.transform,Do.invTransform,Y.transform);Cr.draw(Ie,$e.TRIANGLES,Wi.disabled,$i.disabled,Y.colorModeForRenderPass(),yr.disabled,ps,K.id,Gn,mn,i.SegmentVector.simpleSegment(0,Do.circleOffset*2,Do.circleArray.length,Do.circleArray.length/2),null,Y.transform.zoom,null,null,null)}Gn.destroy(),mn.destroy()}}function _c(Y){var z=Y*2,K=new i.StructArrayLayout3ui6;K.resize(z),K._trim();for(var O=0;O<z;O++){var $=O*6;K.uint16[$+0]=O*4+0,K.uint16[$+1]=O*4+1,K.uint16[$+2]=O*4+2,K.uint16[$+3]=O*4+2,K.uint16[$+4]=O*4+3,K.uint16[$+5]=O*4+0}return K}var le=i.identity(new Float32Array(16));function w(Y,z,K,O,$){if(Y.renderPass===\"translucent\"){var pe=$i.disabled,de=Y.colorModeForRenderPass(),Ie=K.layout.get(\"text-variable-anchor\");Ie&&Q(O,Y,K,z,K.layout.get(\"text-rotation-alignment\"),K.layout.get(\"text-pitch-alignment\"),$),K.paint.get(\"icon-opacity\").constantOr(1)!==0&&qe(Y,z,K,O,!1,K.paint.get(\"icon-translate\"),K.paint.get(\"icon-translate-anchor\"),K.layout.get(\"icon-rotation-alignment\"),K.layout.get(\"icon-pitch-alignment\"),K.layout.get(\"icon-keep-upright\"),pe,de),K.paint.get(\"text-opacity\").constantOr(1)!==0&&qe(Y,z,K,O,!0,K.paint.get(\"text-translate\"),K.paint.get(\"text-translate-anchor\"),K.layout.get(\"text-rotation-alignment\"),K.layout.get(\"text-pitch-alignment\"),K.layout.get(\"text-keep-upright\"),pe,de),z.map.showCollisionBoxes&&(yc(Y,z,K,O,K.paint.get(\"text-translate\"),K.paint.get(\"text-translate-anchor\"),!0),yc(Y,z,K,O,K.paint.get(\"icon-translate\"),K.paint.get(\"icon-translate-anchor\"),!1))}}function B(Y,z,K,O,$,pe){var de=i.getAnchorAlignment(Y),Ie=de.horizontalAlign,$e=de.verticalAlign,pt=-(Ie-.5)*z,Kt=-($e-.5)*K,ir=i.evaluateVariableOffset(Y,O);return new i.Point((pt/$+ir[0])*pe,(Kt/$+ir[1])*pe)}function Q(Y,z,K,O,$,pe,de){for(var Ie=z.transform,$e=$===\"map\",pt=pe===\"map\",Kt=0,ir=Y;Kt<ir.length;Kt+=1){var Jt=ir[Kt],vt=O.getTile(Jt),Pt=vt.getBucket(K);if(!(!Pt||!Pt.text||!Pt.text.segments.get().length)){var Wt=Pt.textSizeData,rr=i.evaluateSizeForZoom(Wt,Ie.zoom),dr=Cs(vt,1,z.transform.zoom),pr=Ji(Jt.posMatrix,pt,$e,z.transform,dr),kr=K.layout.get(\"icon-text-fit\")!==\"none\"&&Pt.hasIconData();if(rr){var Ar=Math.pow(2,Ie.zoom-vt.tileID.overscaledZ);ee(Pt,$e,pt,de,i.symbolSize,Ie,pr,Jt.posMatrix,Ar,rr,kr)}}}}function ee(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt){var ir=Y.text.placedSymbolArray,Jt=Y.text.dynamicLayoutVertexArray,vt=Y.icon.dynamicLayoutVertexArray,Pt={};Jt.clear();for(var Wt=0;Wt<ir.length;Wt++){var rr=ir.get(Wt),dr=Y.allowVerticalPlacement&&!rr.placedOrientation,pr=!rr.hidden&&rr.crossTileID&&!dr?O[rr.crossTileID]:null;if(!pr)Xs(rr.numGlyphs,Jt);else{var kr=new i.Point(rr.anchorX,rr.anchorY),Ar=Fn(kr,K?Ie:de),gr=Sa(pe.cameraToCenterDistance,Ar.signedDistanceFromCamera),Cr=$.evaluateSizeForFeature(Y.textSizeData,pt,rr)*gr/i.ONE_EM;K&&(Cr*=Y.tilePixelRatio/$e);for(var cr=pr.width,Gr=pr.height,ei=pr.anchor,yi=pr.textOffset,tn=pr.textBoxScale,Ri=B(ei,cr,Gr,yi,tn,Cr),ln=K?Fn(kr.add(Ri),de).point:Ar.point.add(z?Ri.rotate(-pe.angle):Ri),Qn=Y.allowVerticalPlacement&&rr.placedOrientation===i.WritingMode.vertical?Math.PI/2:0,qn=0;qn<rr.numGlyphs;qn++)i.addDynamicAttributes(Jt,ln,Qn);Kt&&rr.associatedIconIndex>=0&&(Pt[rr.associatedIconIndex]={shiftedAnchor:ln,angle:Qn})}}if(Kt){vt.clear();for(var rn=Y.icon.placedSymbolArray,bn=0;bn<rn.length;bn++){var mn=rn.get(bn);if(mn.hidden)Xs(mn.numGlyphs,vt);else{var Gn=Pt[bn];if(!Gn)Xs(mn.numGlyphs,vt);else for(var da=0;da<mn.numGlyphs;da++)i.addDynamicAttributes(vt,Gn.shiftedAnchor,Gn.angle)}}Y.icon.dynamicLayoutVertexBuffer.updateData(vt)}Y.text.dynamicLayoutVertexBuffer.updateData(Jt)}function se(Y,z,K){return K.iconsInText&&z?\"symbolTextAndIcon\":Y?\"symbolSDF\":\"symbolIcon\"}function qe(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt,ir){for(var Jt=Y.context,vt=Jt.gl,Pt=Y.transform,Wt=Ie===\"map\",rr=$e===\"map\",dr=Wt&&K.layout.get(\"symbol-placement\")!==\"point\",pr=Wt&&!rr&&!dr,kr=K.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,Ar=!1,gr=Y.depthModeForSublayer(0,Wi.ReadOnly),Cr=K.layout.get(\"text-variable-anchor\"),cr=[],Gr=0,ei=O;Gr<ei.length;Gr+=1){var yi=ei[Gr],tn=z.getTile(yi),Ri=tn.getBucket(K);if(Ri){var ln=$?Ri.text:Ri.icon;if(!(!ln||!ln.segments.get().length)){var Qn=ln.programConfigurations.get(K.id),qn=$||Ri.sdfIcons,rn=$?Ri.textSizeData:Ri.iconSizeData,bn=rr||Pt.pitch!==0,mn=Y.useProgram(se(qn,$,Ri),Qn),Gn=i.evaluateSizeForZoom(rn,Pt.zoom),da=void 0,No=[0,0],Do=void 0,ps=void 0,fo=null,as=void 0;if($){if(Do=tn.glyphAtlasTexture,ps=vt.LINEAR,da=tn.glyphAtlasTexture.size,Ri.iconsInText){No=tn.imageAtlasTexture.size,fo=tn.imageAtlasTexture;var tl=rn.kind===\"composite\"||rn.kind===\"camera\";as=bn||Y.options.rotating||Y.options.zooming||tl?vt.LINEAR:vt.NEAREST}}else{var zu=K.layout.get(\"icon-size\").constantOr(0)!==1||Ri.iconsNeedLinear;Do=tn.imageAtlasTexture,ps=qn||Y.options.rotating||Y.options.zooming||zu||bn?vt.LINEAR:vt.NEAREST,da=tn.imageAtlasTexture.size}var Mv=Cs(tn,1,Y.transform.zoom),Ev=Ji(yi.posMatrix,rr,Wt,Y.transform,Mv),yd=ua(yi.posMatrix,rr,Wt,Y.transform,Mv),Yv=Cr&&Ri.hasTextData(),cg=K.layout.get(\"icon-text-fit\")!==\"none\"&&Yv&&Ri.hasIconData();dr&&Oo(Ri,yi.posMatrix,Y,$,Ev,yd,rr,pt);var vp=Y.translatePosMatrix(yi.posMatrix,tn,pe,de),_d=dr||$&&Cr||cg?le:Ev,pp=Y.translatePosMatrix(yd,tn,pe,de,!0),Nd=qn&&K.paint.get($?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,xd=void 0;qn?Ri.iconsInText?xd=bu(rn.kind,Gn,pr,rr,Y,vp,_d,pp,da,No):xd=mf(rn.kind,Gn,pr,rr,Y,vp,_d,pp,$,da,!0):xd=ac(rn.kind,Gn,pr,rr,Y,vp,_d,pp,$,da);var kv={program:mn,buffers:ln,uniformValues:xd,atlasTexture:Do,atlasTextureIcon:fo,atlasInterpolation:ps,atlasInterpolationIcon:as,isSDF:qn,hasHalo:Nd};if(kr&&Ri.canOverlap){Ar=!0;for(var Kv=ln.segments.get(),Cv=0,ny=Kv;Cv<ny.length;Cv+=1){var fg=ny[Cv];cr.push({segments:new i.SegmentVector([fg]),sortKey:fg.sortKey,state:kv})}}else cr.push({segments:ln.segments,sortKey:0,state:kv})}}}Ar&&cr.sort(function(w1,T1){return w1.sortKey-T1.sortKey});for(var Hf=0,hg=cr;Hf<hg.length;Hf+=1){var ay=hg[Hf],Rh=ay.state;if(Jt.activeTexture.set(vt.TEXTURE0),Rh.atlasTexture.bind(Rh.atlasInterpolation,vt.CLAMP_TO_EDGE),Rh.atlasTextureIcon&&(Jt.activeTexture.set(vt.TEXTURE1),Rh.atlasTextureIcon&&Rh.atlasTextureIcon.bind(Rh.atlasInterpolationIcon,vt.CLAMP_TO_EDGE)),Rh.isSDF){var rm=Rh.uniformValues;Rh.hasHalo&&(rm.u_is_halo=1,je(Rh.buffers,ay.segments,K,Y,Rh.program,gr,Kt,ir,rm)),rm.u_is_halo=0}je(Rh.buffers,ay.segments,K,Y,Rh.program,gr,Kt,ir,Rh.uniformValues)}}function je(Y,z,K,O,$,pe,de,Ie,$e){var pt=O.context,Kt=pt.gl;$.draw(pt,Kt.TRIANGLES,pe,de,Ie,yr.disabled,$e,K.id,Y.layoutVertexBuffer,Y.indexBuffer,z,K.paint,O.transform.zoom,Y.programConfigurations.get(K.id),Y.dynamicLayoutVertexBuffer,Y.opacityVertexBuffer)}function it(Y,z,K,O){if(Y.renderPass===\"translucent\"){var $=K.paint.get(\"circle-opacity\"),pe=K.paint.get(\"circle-stroke-width\"),de=K.paint.get(\"circle-stroke-opacity\"),Ie=K.layout.get(\"circle-sort-key\").constantOr(1)!==void 0;if(!($.constantOr(1)===0&&(pe.constantOr(1)===0||de.constantOr(1)===0))){for(var $e=Y.context,pt=$e.gl,Kt=Y.depthModeForSublayer(0,Wi.ReadOnly),ir=$i.disabled,Jt=Y.colorModeForRenderPass(),vt=[],Pt=0;Pt<O.length;Pt++){var Wt=O[Pt],rr=z.getTile(Wt),dr=rr.getBucket(K);if(dr){var pr=dr.programConfigurations.get(K.id),kr=Y.useProgram(\"circle\",pr),Ar=dr.layoutVertexBuffer,gr=dr.indexBuffer,Cr=Bt(Y,Wt,rr,K),cr={programConfiguration:pr,program:kr,layoutVertexBuffer:Ar,indexBuffer:gr,uniformValues:Cr};if(Ie)for(var Gr=dr.segments.get(),ei=0,yi=Gr;ei<yi.length;ei+=1){var tn=yi[ei];vt.push({segments:new i.SegmentVector([tn]),sortKey:tn.sortKey,state:cr})}else vt.push({segments:dr.segments,sortKey:0,state:cr})}}Ie&&vt.sort(function(Do,ps){return Do.sortKey-ps.sortKey});for(var Ri=0,ln=vt;Ri<ln.length;Ri+=1){var Qn=ln[Ri],qn=Qn.state,rn=qn.programConfiguration,bn=qn.program,mn=qn.layoutVertexBuffer,Gn=qn.indexBuffer,da=qn.uniformValues,No=Qn.segments;bn.draw($e,pt.TRIANGLES,Kt,ir,Jt,yr.disabled,da,K.id,mn,Gn,No,K.paint,Y.transform.zoom,rn)}}}}function yt(Y,z,K,O){if(K.paint.get(\"heatmap-opacity\")!==0)if(Y.renderPass===\"offscreen\"){var $=Y.context,pe=$.gl,de=$i.disabled,Ie=new ft([pe.ONE,pe.ONE],i.Color.transparent,[!0,!0,!0,!0]);Ot($,Y,K),$.clear({color:i.Color.transparent});for(var $e=0;$e<O.length;$e++){var pt=O[$e];if(!z.hasRenderableParent(pt)){var Kt=z.getTile(pt),ir=Kt.getBucket(K);if(ir){var Jt=ir.programConfigurations.get(K.id),vt=Y.useProgram(\"heatmap\",Jt),Pt=Y.transform,Wt=Pt.zoom;vt.draw($,pe.TRIANGLES,Wi.disabled,de,Ie,yr.disabled,Ii(pt.posMatrix,Kt,Wt,K.paint.get(\"heatmap-intensity\")),K.id,ir.layoutVertexBuffer,ir.indexBuffer,ir.segments,K.paint,Y.transform.zoom,Jt)}}}$.viewport.set([0,0,Y.width,Y.height])}else Y.renderPass===\"translucent\"&&(Y.context.setColorMode(Y.colorModeForRenderPass()),hr(Y,K))}function Ot(Y,z,K){var O=Y.gl;Y.activeTexture.set(O.TEXTURE1),Y.viewport.set([0,0,z.width/4,z.height/4]);var $=K.heatmapFbo;if($)O.bindTexture(O.TEXTURE_2D,$.colorAttachment.get()),Y.bindFramebuffer.set($.framebuffer);else{var pe=O.createTexture();O.bindTexture(O.TEXTURE_2D,pe),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_S,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_T,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MIN_FILTER,O.LINEAR),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MAG_FILTER,O.LINEAR),$=K.heatmapFbo=Y.createFramebuffer(z.width/4,z.height/4,!1),Nt(Y,z,pe,$)}}function Nt(Y,z,K,O){var $=Y.gl,pe=Y.extRenderToTextureHalfFloat?Y.extTextureHalfFloat.HALF_FLOAT_OES:$.UNSIGNED_BYTE;$.texImage2D($.TEXTURE_2D,0,$.RGBA,z.width/4,z.height/4,0,$.RGBA,pe,null),O.colorAttachment.set(K)}function hr(Y,z){var K=Y.context,O=K.gl,$=z.heatmapFbo;if($){K.activeTexture.set(O.TEXTURE0),O.bindTexture(O.TEXTURE_2D,$.colorAttachment.get()),K.activeTexture.set(O.TEXTURE1);var pe=z.colorRampTexture;pe||(pe=z.colorRampTexture=new i.Texture(K,z.colorRamp,O.RGBA)),pe.bind(O.LINEAR,O.CLAMP_TO_EDGE),Y.useProgram(\"heatmapTexture\").draw(K,O.TRIANGLES,Wi.disabled,$i.disabled,Y.colorModeForRenderPass(),yr.disabled,mi(Y,z,0,1),z.id,Y.viewportBuffer,Y.quadTriangleIndexBuffer,Y.viewportSegments,z.paint,Y.transform.zoom)}}function Sr(Y,z,K,O){if(Y.renderPass===\"translucent\"){var $=K.paint.get(\"line-opacity\"),pe=K.paint.get(\"line-width\");if(!($.constantOr(1)===0||pe.constantOr(1)===0))for(var de=Y.depthModeForSublayer(0,Wi.ReadOnly),Ie=Y.colorModeForRenderPass(),$e=K.paint.get(\"line-dasharray\"),pt=K.paint.get(\"line-pattern\"),Kt=pt.constantOr(1),ir=K.paint.get(\"line-gradient\"),Jt=K.getCrossfadeParameters(),vt=Kt?\"linePattern\":$e?\"lineSDF\":ir?\"lineGradient\":\"line\",Pt=Y.context,Wt=Pt.gl,rr=!0,dr=0,pr=O;dr<pr.length;dr+=1){var kr=pr[dr],Ar=z.getTile(kr);if(!(Kt&&!Ar.patternsLoaded())){var gr=Ar.getBucket(K);if(gr){var Cr=gr.programConfigurations.get(K.id),cr=Y.context.program.get(),Gr=Y.useProgram(vt,Cr),ei=rr||Gr.program!==cr,yi=pt.constantOr(null);if(yi&&Ar.imageAtlas){var tn=Ar.imageAtlas,Ri=tn.patternPositions[yi.to.toString()],ln=tn.patternPositions[yi.from.toString()];Ri&&ln&&Cr.setConstantPatternPositions(Ri,ln)}var Qn=Kt?Qo(Y,Ar,K,Jt):$e?ys(Y,Ar,K,$e,Jt):ir?Ts(Y,Ar,K,gr.lineClipsArray.length):Xo(Y,Ar,K);if(Kt)Pt.activeTexture.set(Wt.TEXTURE0),Ar.imageAtlasTexture.bind(Wt.LINEAR,Wt.CLAMP_TO_EDGE),Cr.updatePaintBuffers(Jt);else if($e&&(ei||Y.lineAtlas.dirty))Pt.activeTexture.set(Wt.TEXTURE0),Y.lineAtlas.bind(Pt);else if(ir){var qn=gr.gradients[K.id],rn=qn.texture;if(K.gradientVersion!==qn.version){var bn=256;if(K.stepInterpolant){var mn=z.getSource().maxzoom,Gn=kr.canonical.z===mn?Math.ceil(1<<Y.transform.maxZoom-kr.canonical.z):1,da=gr.maxLineLength/i.EXTENT,No=1024,Do=da*No*Gn;bn=i.clamp(i.nextPowerOfTwo(Do),256,Pt.maxTextureSize)}qn.gradient=i.renderColorRamp({expression:K.gradientExpression(),evaluationKey:\"lineProgress\",resolution:bn,image:qn.gradient||void 0,clips:gr.lineClipsArray}),qn.texture?qn.texture.update(qn.gradient):qn.texture=new i.Texture(Pt,qn.gradient,Wt.RGBA),qn.version=K.gradientVersion,rn=qn.texture}Pt.activeTexture.set(Wt.TEXTURE0),rn.bind(K.stepInterpolant?Wt.NEAREST:Wt.LINEAR,Wt.CLAMP_TO_EDGE)}Gr.draw(Pt,Wt.TRIANGLES,de,Y.stencilModeForClipping(kr),Ie,yr.disabled,Qn,K.id,gr.layoutVertexBuffer,gr.indexBuffer,gr.segments,K.paint,Y.transform.zoom,Cr,gr.layoutVertexBuffer2),rr=!1}}}}}function he(Y,z,K,O){var $=K.paint.get(\"fill-color\"),pe=K.paint.get(\"fill-opacity\");if(pe.constantOr(1)!==0){var de=Y.colorModeForRenderPass(),Ie=K.paint.get(\"fill-pattern\"),$e=Y.opaquePassEnabledForLayer()&&!Ie.constantOr(1)&&$.constantOr(i.Color.transparent).a===1&&pe.constantOr(0)===1?\"opaque\":\"translucent\";if(Y.renderPass===$e){var pt=Y.depthModeForSublayer(1,Y.renderPass===\"opaque\"?Wi.ReadWrite:Wi.ReadOnly);be(Y,z,K,O,pt,de,!1)}if(Y.renderPass===\"translucent\"&&K.paint.get(\"fill-antialias\")){var Kt=Y.depthModeForSublayer(K.getPaintProperty(\"fill-outline-color\")?2:0,Wi.ReadOnly);be(Y,z,K,O,Kt,de,!0)}}}function be(Y,z,K,O,$,pe,de){var Ie=Y.context.gl,$e=K.paint.get(\"fill-pattern\"),pt=$e&&$e.constantOr(1),Kt=K.getCrossfadeParameters(),ir,Jt,vt,Pt,Wt;de?(Jt=pt&&!K.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",ir=Ie.LINES):(Jt=pt?\"fillPattern\":\"fill\",ir=Ie.TRIANGLES);for(var rr=0,dr=O;rr<dr.length;rr+=1){var pr=dr[rr],kr=z.getTile(pr);if(!(pt&&!kr.patternsLoaded())){var Ar=kr.getBucket(K);if(Ar){var gr=Ar.programConfigurations.get(K.id),Cr=Y.useProgram(Jt,gr);pt&&(Y.context.activeTexture.set(Ie.TEXTURE0),kr.imageAtlasTexture.bind(Ie.LINEAR,Ie.CLAMP_TO_EDGE),gr.updatePaintBuffers(Kt));var cr=$e.constantOr(null);if(cr&&kr.imageAtlas){var Gr=kr.imageAtlas,ei=Gr.patternPositions[cr.to.toString()],yi=Gr.patternPositions[cr.from.toString()];ei&&yi&&gr.setConstantPatternPositions(ei,yi)}var tn=Y.translatePosMatrix(pr.posMatrix,kr,K.paint.get(\"fill-translate\"),K.paint.get(\"fill-translate-anchor\"));if(!de)Pt=Ar.indexBuffer,Wt=Ar.segments,vt=pt?Yc(tn,Y,Kt,kr):mc(tn);else{Pt=Ar.indexBuffer2,Wt=Ar.segments2;var Ri=[Ie.drawingBufferWidth,Ie.drawingBufferHeight];vt=Jt===\"fillOutlinePattern\"&&pt?gf(tn,Y,Kt,kr,Ri):nc(tn,Ri)}Cr.draw(Y.context,ir,$,Y.stencilModeForClipping(pr),pe,yr.disabled,vt,K.id,Ar.layoutVertexBuffer,Pt,Wt,K.paint,Y.transform.zoom,gr)}}}}function Pe(Y,z,K,O){var $=K.paint.get(\"fill-extrusion-opacity\");if($!==0&&Y.renderPass===\"translucent\"){var pe=new Wi(Y.context.gl.LEQUAL,Wi.ReadWrite,Y.depthRangeFor3D);if($===1&&!K.paint.get(\"fill-extrusion-pattern\").constantOr(1)){var de=Y.colorModeForRenderPass();Oe(Y,z,K,O,pe,$i.disabled,de)}else Oe(Y,z,K,O,pe,$i.disabled,ft.disabled),Oe(Y,z,K,O,pe,Y.stencilModeFor3D(),Y.colorModeForRenderPass())}}function Oe(Y,z,K,O,$,pe,de){for(var Ie=Y.context,$e=Ie.gl,pt=K.paint.get(\"fill-extrusion-pattern\"),Kt=pt.constantOr(1),ir=K.getCrossfadeParameters(),Jt=K.paint.get(\"fill-extrusion-opacity\"),vt=0,Pt=O;vt<Pt.length;vt+=1){var Wt=Pt[vt],rr=z.getTile(Wt),dr=rr.getBucket(K);if(dr){var pr=dr.programConfigurations.get(K.id),kr=Y.useProgram(Kt?\"fillExtrusionPattern\":\"fillExtrusion\",pr);Kt&&(Y.context.activeTexture.set($e.TEXTURE0),rr.imageAtlasTexture.bind($e.LINEAR,$e.CLAMP_TO_EDGE),pr.updatePaintBuffers(ir));var Ar=pt.constantOr(null);if(Ar&&rr.imageAtlas){var gr=rr.imageAtlas,Cr=gr.patternPositions[Ar.to.toString()],cr=gr.patternPositions[Ar.from.toString()];Cr&&cr&&pr.setConstantPatternPositions(Cr,cr)}var Gr=Y.translatePosMatrix(Wt.posMatrix,rr,K.paint.get(\"fill-extrusion-translate\"),K.paint.get(\"fill-extrusion-translate-anchor\")),ei=K.paint.get(\"fill-extrusion-vertical-gradient\"),yi=Kt?Wu(Gr,Y,ei,Jt,Wt,ir,rr):Ih(Gr,Y,ei,Jt);kr.draw(Ie,Ie.gl.TRIANGLES,$,pe,de,yr.backCCW,yi,K.id,dr.layoutVertexBuffer,dr.indexBuffer,dr.segments,K.paint,Y.transform.zoom,pr)}}}function Je(Y,z,K,O){if(!(Y.renderPass!==\"offscreen\"&&Y.renderPass!==\"translucent\")){for(var $=Y.context,pe=Y.depthModeForSublayer(0,Wi.ReadOnly),de=Y.colorModeForRenderPass(),Ie=Y.renderPass===\"translucent\"?Y.stencilConfigForOverlap(O):[{},O],$e=Ie[0],pt=Ie[1],Kt=0,ir=pt;Kt<ir.length;Kt+=1){var Jt=ir[Kt],vt=z.getTile(Jt);vt.needsHillshadePrepare&&Y.renderPass===\"offscreen\"?et(Y,vt,K,pe,$i.disabled,de):Y.renderPass===\"translucent\"&&He(Y,vt,K,pe,$e[Jt.overscaledZ],de)}$.viewport.set([0,0,Y.width,Y.height])}}function He(Y,z,K,O,$,pe){var de=Y.context,Ie=de.gl,$e=z.fbo;if($e){var pt=Y.useProgram(\"hillshade\");de.activeTexture.set(Ie.TEXTURE0),Ie.bindTexture(Ie.TEXTURE_2D,$e.colorAttachment.get());var Kt=Ta(Y,z,K);pt.draw(de,Ie.TRIANGLES,O,$,pe,yr.disabled,Kt,K.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function et(Y,z,K,O,$,pe){var de=Y.context,Ie=de.gl,$e=z.dem;if($e&&$e.data){var pt=$e.dim,Kt=$e.stride,ir=$e.getPixels();if(de.activeTexture.set(Ie.TEXTURE1),de.pixelStoreUnpackPremultiplyAlpha.set(!1),z.demTexture=z.demTexture||Y.getTileTexture(Kt),z.demTexture){var Jt=z.demTexture;Jt.update(ir,{premultiply:!1}),Jt.bind(Ie.NEAREST,Ie.CLAMP_TO_EDGE)}else z.demTexture=new i.Texture(de,ir,Ie.RGBA,{premultiply:!1}),z.demTexture.bind(Ie.NEAREST,Ie.CLAMP_TO_EDGE);de.activeTexture.set(Ie.TEXTURE0);var vt=z.fbo;if(!vt){var Pt=new i.Texture(de,{width:pt,height:pt,data:null},Ie.RGBA);Pt.bind(Ie.LINEAR,Ie.CLAMP_TO_EDGE),vt=z.fbo=de.createFramebuffer(pt,pt,!0),vt.colorAttachment.set(Pt.texture)}de.bindFramebuffer.set(vt.framebuffer),de.viewport.set([0,0,pt,pt]),Y.useProgram(\"hillshadePrepare\").draw(de,Ie.TRIANGLES,O,$,pe,yr.disabled,Ea(z.tileID,$e),K.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments),z.needsHillshadePrepare=!1}}function Mt(Y,z,K,O){if(Y.renderPass===\"translucent\"&&K.paint.get(\"raster-opacity\")!==0&&O.length)for(var $=Y.context,pe=$.gl,de=z.getSource(),Ie=Y.useProgram(\"raster\"),$e=Y.colorModeForRenderPass(),pt=de instanceof ke?[{},O]:Y.stencilConfigForOverlap(O),Kt=pt[0],ir=pt[1],Jt=ir[ir.length-1].overscaledZ,vt=!Y.options.moving,Pt=0,Wt=ir;Pt<Wt.length;Pt+=1){var rr=Wt[Pt],dr=Y.depthModeForSublayer(rr.overscaledZ-Jt,K.paint.get(\"raster-opacity\")===1?Wi.ReadWrite:Wi.ReadOnly,pe.LESS),pr=z.getTile(rr),kr=Y.transform.calculatePosMatrix(rr.toUnwrapped(),vt);pr.registerFadeDuration(K.paint.get(\"raster-fade-duration\"));var Ar=z.findLoadedParent(rr,0),gr=Dt(pr,Ar,z,K,Y.transform),Cr=void 0,cr=void 0,Gr=K.paint.get(\"raster-resampling\")===\"nearest\"?pe.NEAREST:pe.LINEAR;$.activeTexture.set(pe.TEXTURE0),pr.texture.bind(Gr,pe.CLAMP_TO_EDGE,pe.LINEAR_MIPMAP_NEAREST),$.activeTexture.set(pe.TEXTURE1),Ar?(Ar.texture.bind(Gr,pe.CLAMP_TO_EDGE,pe.LINEAR_MIPMAP_NEAREST),Cr=Math.pow(2,Ar.tileID.overscaledZ-pr.tileID.overscaledZ),cr=[pr.tileID.canonical.x*Cr%1,pr.tileID.canonical.y*Cr%1]):pr.texture.bind(Gr,pe.CLAMP_TO_EDGE,pe.LINEAR_MIPMAP_NEAREST);var ei=Rs(kr,cr||[0,0],Cr||1,gr,K);de instanceof ke?Ie.draw($,pe.TRIANGLES,dr,$i.disabled,$e,yr.disabled,ei,K.id,de.boundsBuffer,Y.quadTriangleIndexBuffer,de.boundsSegments):Ie.draw($,pe.TRIANGLES,dr,Kt[rr.overscaledZ],$e,yr.disabled,ei,K.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function Dt(Y,z,K,O,$){var pe=O.paint.get(\"raster-fade-duration\");if(pe>0){var de=i.browser.now(),Ie=(de-Y.timeAdded)/pe,$e=z?(de-z.timeAdded)/pe:-1,pt=K.getSource(),Kt=$.coveringZoomLevel({tileSize:pt.tileSize,roundZoom:pt.roundZoom}),ir=!z||Math.abs(z.tileID.overscaledZ-Kt)>Math.abs(Y.tileID.overscaledZ-Kt),Jt=ir&&Y.refreshedUponExpiration?1:i.clamp(ir?Ie:1-$e,0,1);return Y.refreshedUponExpiration&&Ie>=1&&(Y.refreshedUponExpiration=!1),z?{opacity:1,mix:1-Jt}:{opacity:Jt,mix:0}}else return{opacity:1,mix:0}}function Ut(Y,z,K){var O=K.paint.get(\"background-color\"),$=K.paint.get(\"background-opacity\");if($!==0){var pe=Y.context,de=pe.gl,Ie=Y.transform,$e=Ie.tileSize,pt=K.paint.get(\"background-pattern\");if(!Y.isPatternMissing(pt)){var Kt=!pt&&O.a===1&&$===1&&Y.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Y.renderPass===Kt){var ir=$i.disabled,Jt=Y.depthModeForSublayer(0,Kt===\"opaque\"?Wi.ReadWrite:Wi.ReadOnly),vt=Y.colorModeForRenderPass(),Pt=Y.useProgram(pt?\"backgroundPattern\":\"background\"),Wt=Ie.coveringTiles({tileSize:$e});pt&&(pe.activeTexture.set(de.TEXTURE0),Y.imageManager.bind(Y.context));for(var rr=K.getCrossfadeParameters(),dr=0,pr=Wt;dr<pr.length;dr+=1){var kr=pr[dr],Ar=Y.transform.calculatePosMatrix(kr.toUnwrapped()),gr=pt?Da(Ar,$,Y,pt,{tileID:kr,tileSize:$e},rr):Dc(Ar,$,O);Pt.draw(pe,de.TRIANGLES,Jt,ir,vt,yr.disabled,gr,K.id,Y.tileExtentBuffer,Y.quadTriangleIndexBuffer,Y.tileExtentSegments)}}}}}var tr=new i.Color(1,0,0,1),mr=new i.Color(0,1,0,1),Rr=new i.Color(0,0,1,1),zr=new i.Color(1,0,1,1),Xr=new i.Color(0,1,1,1);function di(Y){var z=Y.transform.padding,K=3;Ci(Y,Y.transform.height-(z.top||0),K,tr),Ci(Y,z.bottom||0,K,mr),Qi(Y,z.left||0,K,Rr),Qi(Y,Y.transform.width-(z.right||0),K,zr);var O=Y.transform.centerPoint;Li(Y,O.x,Y.transform.height-O.y,Xr)}function Li(Y,z,K,O){var $=20,pe=2;Mn(Y,z-pe/2,K-$/2,pe,$,O),Mn(Y,z-$/2,K-pe/2,$,pe,O)}function Ci(Y,z,K,O){Mn(Y,0,z+K/2,Y.transform.width,K,O)}function Qi(Y,z,K,O){Mn(Y,z-K/2,0,K,Y.transform.height,O)}function Mn(Y,z,K,O,$,pe){var de=Y.context,Ie=de.gl;Ie.enable(Ie.SCISSOR_TEST),Ie.scissor(z*i.browser.devicePixelRatio,K*i.browser.devicePixelRatio,O*i.browser.devicePixelRatio,$*i.browser.devicePixelRatio),de.clear({color:pe}),Ie.disable(Ie.SCISSOR_TEST)}function pa(Y,z,K){for(var O=0;O<K.length;O++)ea(Y,z,K[O])}function ea(Y,z,K){var O=Y.context,$=O.gl,pe=K.posMatrix,de=Y.useProgram(\"debug\"),Ie=Wi.disabled,$e=$i.disabled,pt=Y.colorModeForRenderPass(),Kt=\"$debug\";O.activeTexture.set($.TEXTURE0),Y.emptyTexture.bind($.LINEAR,$.CLAMP_TO_EDGE),de.draw(O,$.LINE_STRIP,Ie,$e,pt,yr.disabled,Fi(pe,i.Color.red),Kt,Y.debugBuffer,Y.tileBorderIndexBuffer,Y.debugSegments);var ir=z.getTileByID(K.key).latestRawTileData,Jt=ir&&ir.byteLength||0,vt=Math.floor(Jt/1024),Pt=z.getTile(K).tileSize,Wt=512/Math.min(Pt,512)*(K.overscaledZ/Y.transform.zoom)*.5,rr=K.canonical.toString();K.overscaledZ!==K.canonical.z&&(rr+=\" => \"+K.overscaledZ);var dr=rr+\" \"+vt+\"kb\";Ga(Y,dr),de.draw(O,$.TRIANGLES,Ie,$e,ft.alphaBlended,yr.disabled,Fi(pe,i.Color.transparent,Wt),Kt,Y.debugBuffer,Y.quadTriangleIndexBuffer,Y.debugSegments)}function Ga(Y,z){Y.initDebugOverlayCanvas();var K=Y.debugOverlayCanvas,O=Y.context.gl,$=Y.debugOverlayCanvas.getContext(\"2d\");$.clearRect(0,0,K.width,K.height),$.shadowColor=\"white\",$.shadowBlur=2,$.lineWidth=1.5,$.strokeStyle=\"white\",$.textBaseline=\"top\",$.font=\"bold 36px Open Sans, sans-serif\",$.fillText(z,5,5),$.strokeText(z,5,5),Y.debugOverlayTexture.update(K),Y.debugOverlayTexture.bind(O.LINEAR,O.CLAMP_TO_EDGE)}function To(Y,z,K){var O=Y.context,$=K.implementation;if(Y.renderPass===\"offscreen\"){var pe=$.prerender;pe&&(Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),pe.call($,O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState())}else if(Y.renderPass===\"translucent\"){Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),O.setStencilMode($i.disabled);var de=$.renderingMode===\"3d\"?new Wi(Y.context.gl.LEQUAL,Wi.ReadWrite,Y.depthRangeFor3D):Y.depthModeForSublayer(0,Wi.ReadOnly);O.setDepthMode(de),$.render(O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState(),O.bindFramebuffer.set(null)}}var Wa={symbol:w,circle:it,heatmap:yt,line:Sr,fill:he,\"fill-extrusion\":Pe,hillshade:Je,raster:Mt,background:Ut,debug:pa,custom:To},co=function(z,K){this.context=new Fr(z),this.transform=K,this._tileTextures={},this.setup(),this.numSublayers=Zr.maxUnderzooming+Zr.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new rh,this.gpuTimers={}};co.prototype.resize=function(z,K){if(this.width=z*i.browser.devicePixelRatio,this.height=K*i.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var O=0,$=this.style._order;O<$.length;O+=1){var pe=$[O];this.style._layers[pe].resize()}},co.prototype.setup=function(){var z=this.context,K=new i.StructArrayLayout2i4;K.emplaceBack(0,0),K.emplaceBack(i.EXTENT,0),K.emplaceBack(0,i.EXTENT),K.emplaceBack(i.EXTENT,i.EXTENT),this.tileExtentBuffer=z.createVertexBuffer(K,kc.members),this.tileExtentSegments=i.SegmentVector.simpleSegment(0,0,4,2);var O=new i.StructArrayLayout2i4;O.emplaceBack(0,0),O.emplaceBack(i.EXTENT,0),O.emplaceBack(0,i.EXTENT),O.emplaceBack(i.EXTENT,i.EXTENT),this.debugBuffer=z.createVertexBuffer(O,kc.members),this.debugSegments=i.SegmentVector.simpleSegment(0,0,4,5);var $=new i.StructArrayLayout4i8;$.emplaceBack(0,0,0,0),$.emplaceBack(i.EXTENT,0,i.EXTENT,0),$.emplaceBack(0,i.EXTENT,0,i.EXTENT),$.emplaceBack(i.EXTENT,i.EXTENT,i.EXTENT,i.EXTENT),this.rasterBoundsBuffer=z.createVertexBuffer($,Me.members),this.rasterBoundsSegments=i.SegmentVector.simpleSegment(0,0,4,2);var pe=new i.StructArrayLayout2i4;pe.emplaceBack(0,0),pe.emplaceBack(1,0),pe.emplaceBack(0,1),pe.emplaceBack(1,1),this.viewportBuffer=z.createVertexBuffer(pe,kc.members),this.viewportSegments=i.SegmentVector.simpleSegment(0,0,4,2);var de=new i.StructArrayLayout1ui2;de.emplaceBack(0),de.emplaceBack(1),de.emplaceBack(3),de.emplaceBack(2),de.emplaceBack(0),this.tileBorderIndexBuffer=z.createIndexBuffer(de);var Ie=new i.StructArrayLayout3ui6;Ie.emplaceBack(0,1,2),Ie.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=z.createIndexBuffer(Ie),this.emptyTexture=new i.Texture(z,{width:1,height:1,data:new Uint8Array([0,0,0,0])},z.gl.RGBA);var $e=this.context.gl;this.stencilClearMode=new $i({func:$e.ALWAYS,mask:0},0,255,$e.ZERO,$e.ZERO,$e.ZERO)},co.prototype.clearStencil=function(){var z=this.context,K=z.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var O=i.create();i.ortho(O,0,this.width,this.height,0,0,1),i.scale(O,O,[K.drawingBufferWidth,K.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(z,K.TRIANGLES,Wi.disabled,this.stencilClearMode,ft.disabled,yr.disabled,hn(O),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},co.prototype._renderTileClippingMasks=function(z,K){if(!(this.currentStencilSource===z.source||!z.isTileClipped()||!K||!K.length)){this.currentStencilSource=z.source;var O=this.context,$=O.gl;this.nextStencilID+K.length>256&&this.clearStencil(),O.setColorMode(ft.disabled),O.setDepthMode(Wi.disabled);var pe=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var de=0,Ie=K;de<Ie.length;de+=1){var $e=Ie[de],pt=this._tileClippingMaskIDs[$e.key]=this.nextStencilID++;pe.draw(O,$.TRIANGLES,Wi.disabled,new $i({func:$.ALWAYS,mask:0},pt,255,$.KEEP,$.KEEP,$.REPLACE),ft.disabled,yr.disabled,hn($e.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},co.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var z=this.nextStencilID++,K=this.context.gl;return new $i({func:K.NOTEQUAL,mask:255},z,255,K.KEEP,K.KEEP,K.REPLACE)},co.prototype.stencilModeForClipping=function(z){var K=this.context.gl;return new $i({func:K.EQUAL,mask:255},this._tileClippingMaskIDs[z.key],0,K.KEEP,K.KEEP,K.REPLACE)},co.prototype.stencilConfigForOverlap=function(z){var K,O=this.context.gl,$=z.sort(function(pt,Kt){return Kt.overscaledZ-pt.overscaledZ}),pe=$[$.length-1].overscaledZ,de=$[0].overscaledZ-pe+1;if(de>1){this.currentStencilSource=void 0,this.nextStencilID+de>256&&this.clearStencil();for(var Ie={},$e=0;$e<de;$e++)Ie[$e+pe]=new $i({func:O.GEQUAL,mask:255},$e+this.nextStencilID,255,O.KEEP,O.KEEP,O.REPLACE);return this.nextStencilID+=de,[Ie,$]}return[(K={},K[pe]=$i.disabled,K),$]},co.prototype.colorModeForRenderPass=function(){var z=this.context.gl;if(this._showOverdrawInspector){var K=8,O=1/K;return new ft([z.CONSTANT_COLOR,z.ONE],new i.Color(O,O,O,0),[!0,!0,!0,!0])}else return this.renderPass===\"opaque\"?ft.unblended:ft.alphaBlended},co.prototype.depthModeForSublayer=function(z,K,O){if(!this.opaquePassEnabledForLayer())return Wi.disabled;var $=1-((1+this.currentLayer)*this.numSublayers+z)*this.depthEpsilon;return new Wi(O||this.context.gl.LEQUAL,K,[$,$])},co.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},co.prototype.render=function(z,K){var O=this;this.style=z,this.options=K,this.lineAtlas=z.lineAtlas,this.imageManager=z.imageManager,this.glyphManager=z.glyphManager,this.symbolFadeChange=z.placement.symbolFadeChange(i.browser.now()),this.imageManager.beginFrame();var $=this.style._order,pe=this.style.sourceCaches;for(var de in pe){var Ie=pe[de];Ie.used&&Ie.prepare(this.context)}var $e={},pt={},Kt={};for(var ir in pe){var Jt=pe[ir];$e[ir]=Jt.getVisibleCoordinates(),pt[ir]=$e[ir].slice().reverse(),Kt[ir]=Jt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var vt=0;vt<$.length;vt++){var Pt=$[vt];if(this.style._layers[Pt].is3D()){this.opaquePassCutoff=vt;break}}this.renderPass=\"offscreen\";for(var Wt=0,rr=$;Wt<rr.length;Wt+=1){var dr=rr[Wt],pr=this.style._layers[dr];if(!(!pr.hasOffscreenPass()||pr.isHidden(this.transform.zoom))){var kr=pt[pr.source];pr.type!==\"custom\"&&!kr.length||this.renderLayer(this,pe[pr.source],pr,kr)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:K.showOverdrawInspector?i.Color.black:i.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=K.showOverdrawInspector,this.depthRangeFor3D=[0,1-(z._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=$.length-1;this.currentLayer>=0;this.currentLayer--){var Ar=this.style._layers[$[this.currentLayer]],gr=pe[Ar.source],Cr=$e[Ar.source];this._renderTileClippingMasks(Ar,Cr),this.renderLayer(this,gr,Ar,Cr)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<$.length;this.currentLayer++){var cr=this.style._layers[$[this.currentLayer]],Gr=pe[cr.source],ei=(cr.type===\"symbol\"?Kt:pt)[cr.source];this._renderTileClippingMasks(cr,$e[cr.source]),this.renderLayer(this,Gr,cr,ei)}if(this.options.showTileBoundaries){var yi,tn,Ri=i.values(this.style._layers);Ri.forEach(function(ln){ln.source&&!ln.isHidden(O.transform.zoom)&&(ln.source!==(tn&&tn.id)&&(tn=O.style.sourceCaches[ln.source]),(!yi||yi.getSource().maxzoom<tn.getSource().maxzoom)&&(yi=tn))}),yi&&Wa.debug(this,yi,yi.getVisibleCoordinates())}this.options.showPadding&&di(this),this.context.setDefault()},co.prototype.renderLayer=function(z,K,O,$){O.isHidden(this.transform.zoom)||O.type!==\"background\"&&O.type!==\"custom\"&&!$.length||(this.id=O.id,this.gpuTimingStart(O),Wa[O.type](z,K,O,$,this.style.placement.variableOffsets),this.gpuTimingEnd())},co.prototype.gpuTimingStart=function(z){if(this.options.gpuTiming){var K=this.context.extTimerQuery,O=this.gpuTimers[z.id];O||(O=this.gpuTimers[z.id]={calls:0,cpuTime:0,query:K.createQueryEXT()}),O.calls++,K.beginQueryEXT(K.TIME_ELAPSED_EXT,O.query)}},co.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var z=this.context.extTimerQuery;z.endQueryEXT(z.TIME_ELAPSED_EXT)}},co.prototype.collectGpuTimers=function(){var z=this.gpuTimers;return this.gpuTimers={},z},co.prototype.queryGpuTimers=function(z){var K={};for(var O in z){var $=z[O],pe=this.context.extTimerQuery,de=pe.getQueryObjectEXT($.query,pe.QUERY_RESULT_EXT)/(1e3*1e3);pe.deleteQueryEXT($.query),K[O]=de}return K},co.prototype.translatePosMatrix=function(z,K,O,$,pe){if(!O[0]&&!O[1])return z;var de=pe?$===\"map\"?this.transform.angle:0:$===\"viewport\"?-this.transform.angle:0;if(de){var Ie=Math.sin(de),$e=Math.cos(de);O=[O[0]*$e-O[1]*Ie,O[0]*Ie+O[1]*$e]}var pt=[pe?O[0]:Cs(K,O[0],this.transform.zoom),pe?O[1]:Cs(K,O[1],this.transform.zoom),0],Kt=new Float32Array(16);return i.translate(Kt,z,pt),Kt},co.prototype.saveTileTexture=function(z){var K=this._tileTextures[z.size[0]];K?K.push(z):this._tileTextures[z.size[0]]=[z]},co.prototype.getTileTexture=function(z){var K=this._tileTextures[z];return K&&K.length>0?K.pop():null},co.prototype.isPatternMissing=function(z){if(!z)return!1;if(!z.from||!z.to)return!0;var K=this.imageManager.getPattern(z.from.toString()),O=this.imageManager.getPattern(z.to.toString());return!K||!O},co.prototype.useProgram=function(z,K){this.cache=this.cache||{};var O=\"\"+z+(K?K.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[O]||(this.cache[O]=new Vf(this.context,z,Pf[z],K,eo[z],this._showOverdrawInspector)),this.cache[O]},co.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},co.prototype.setBaseState=function(){var z=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(z.FUNC_ADD)},co.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=i.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var z=this.context.gl;this.debugOverlayTexture=new i.Texture(this.context,this.debugOverlayCanvas,z.RGBA)}},co.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Ro=function(z,K){this.points=z,this.planes=K};Ro.fromInvProjectionMatrix=function(z,K,O){var $=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]],pe=Math.pow(2,O),de=$.map(function(pt){return i.transformMat4([],pt,z)}).map(function(pt){return i.scale$1([],pt,1/pt[3]/K*pe)}),Ie=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],$e=Ie.map(function(pt){var Kt=i.sub([],de[pt[0]],de[pt[1]]),ir=i.sub([],de[pt[2]],de[pt[1]]),Jt=i.normalize([],i.cross([],Kt,ir)),vt=-i.dot(Jt,de[pt[1]]);return Jt.concat(vt)});return new Ro(de,$e)};var Ds=function(z,K){this.min=z,this.max=K,this.center=i.scale$2([],i.add([],this.min,this.max),.5)};Ds.prototype.quadrant=function(z){for(var K=[z%2===0,z<2],O=i.clone$2(this.min),$=i.clone$2(this.max),pe=0;pe<K.length;pe++)O[pe]=K[pe]?this.min[pe]:this.center[pe],$[pe]=K[pe]?this.center[pe]:this.max[pe];return $[2]=this.max[2],new Ds(O,$)},Ds.prototype.distanceX=function(z){var K=Math.max(Math.min(this.max[0],z[0]),this.min[0]);return K-z[0]},Ds.prototype.distanceY=function(z){var K=Math.max(Math.min(this.max[1],z[1]),this.min[1]);return K-z[1]},Ds.prototype.intersects=function(z){for(var K=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],O=!0,$=0;$<z.planes.length;$++){for(var pe=z.planes[$],de=0,Ie=0;Ie<K.length;Ie++)de+=i.dot$1(pe,K[Ie])>=0;if(de===0)return 0;de!==K.length&&(O=!1)}if(O)return 2;for(var $e=0;$e<3;$e++){for(var pt=Number.MAX_VALUE,Kt=-Number.MAX_VALUE,ir=0;ir<z.points.length;ir++){var Jt=z.points[ir][$e]-this.min[$e];pt=Math.min(pt,Jt),Kt=Math.max(Kt,Jt)}if(Kt<0||pt>this.max[$e]-this.min[$e])return 0}return 1};var As=function(z,K,O,$){if(z===void 0&&(z=0),K===void 0&&(K=0),O===void 0&&(O=0),$===void 0&&($=0),isNaN(z)||z<0||isNaN(K)||K<0||isNaN(O)||O<0||isNaN($)||$<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=z,this.bottom=K,this.left=O,this.right=$};As.prototype.interpolate=function(z,K,O){return K.top!=null&&z.top!=null&&(this.top=i.number(z.top,K.top,O)),K.bottom!=null&&z.bottom!=null&&(this.bottom=i.number(z.bottom,K.bottom,O)),K.left!=null&&z.left!=null&&(this.left=i.number(z.left,K.left,O)),K.right!=null&&z.right!=null&&(this.right=i.number(z.right,K.right,O)),this},As.prototype.getCenter=function(z,K){var O=i.clamp((this.left+z-this.right)/2,0,z),$=i.clamp((this.top+K-this.bottom)/2,0,K);return new i.Point(O,$)},As.prototype.equals=function(z){return this.top===z.top&&this.bottom===z.bottom&&this.left===z.left&&this.right===z.right},As.prototype.clone=function(){return new As(this.top,this.bottom,this.left,this.right)},As.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var yo=function(z,K,O,$,pe){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=pe===void 0?!0:pe,this._minZoom=z||0,this._maxZoom=K||22,this._minPitch=O==null?0:O,this._maxPitch=$==null?60:$,this.setMaxBounds(),this.width=0,this.height=0,this._center=new i.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new As,this._posMatrixCache={},this._alignedPosMatrixCache={}},po={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};yo.prototype.clone=function(){var z=new yo(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return z.tileSize=this.tileSize,z.latRange=this.latRange,z.width=this.width,z.height=this.height,z._center=this._center,z.zoom=this.zoom,z.angle=this.angle,z._fov=this._fov,z._pitch=this._pitch,z._unmodified=this._unmodified,z._edgeInsets=this._edgeInsets.clone(),z._calcMatrices(),z},po.minZoom.get=function(){return this._minZoom},po.minZoom.set=function(Y){this._minZoom!==Y&&(this._minZoom=Y,this.zoom=Math.max(this.zoom,Y))},po.maxZoom.get=function(){return this._maxZoom},po.maxZoom.set=function(Y){this._maxZoom!==Y&&(this._maxZoom=Y,this.zoom=Math.min(this.zoom,Y))},po.minPitch.get=function(){return this._minPitch},po.minPitch.set=function(Y){this._minPitch!==Y&&(this._minPitch=Y,this.pitch=Math.max(this.pitch,Y))},po.maxPitch.get=function(){return this._maxPitch},po.maxPitch.set=function(Y){this._maxPitch!==Y&&(this._maxPitch=Y,this.pitch=Math.min(this.pitch,Y))},po.renderWorldCopies.get=function(){return this._renderWorldCopies},po.renderWorldCopies.set=function(Y){Y===void 0?Y=!0:Y===null&&(Y=!1),this._renderWorldCopies=Y},po.worldSize.get=function(){return this.tileSize*this.scale},po.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},po.size.get=function(){return new i.Point(this.width,this.height)},po.bearing.get=function(){return-this.angle/Math.PI*180},po.bearing.set=function(Y){var z=-i.wrap(Y,-180,180)*Math.PI/180;this.angle!==z&&(this._unmodified=!1,this.angle=z,this._calcMatrices(),this.rotationMatrix=i.create$2(),i.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},po.pitch.get=function(){return this._pitch/Math.PI*180},po.pitch.set=function(Y){var z=i.clamp(Y,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==z&&(this._unmodified=!1,this._pitch=z,this._calcMatrices())},po.fov.get=function(){return this._fov/Math.PI*180},po.fov.set=function(Y){Y=Math.max(.01,Math.min(60,Y)),this._fov!==Y&&(this._unmodified=!1,this._fov=Y/180*Math.PI,this._calcMatrices())},po.zoom.get=function(){return this._zoom},po.zoom.set=function(Y){var z=Math.min(Math.max(Y,this.minZoom),this.maxZoom);this._zoom!==z&&(this._unmodified=!1,this._zoom=z,this.scale=this.zoomScale(z),this.tileZoom=Math.floor(z),this.zoomFraction=z-this.tileZoom,this._constrain(),this._calcMatrices())},po.center.get=function(){return this._center},po.center.set=function(Y){Y.lat===this._center.lat&&Y.lng===this._center.lng||(this._unmodified=!1,this._center=Y,this._constrain(),this._calcMatrices())},po.padding.get=function(){return this._edgeInsets.toJSON()},po.padding.set=function(Y){this._edgeInsets.equals(Y)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,Y,1),this._calcMatrices())},po.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},yo.prototype.isPaddingEqual=function(z){return this._edgeInsets.equals(z)},yo.prototype.interpolatePadding=function(z,K,O){this._unmodified=!1,this._edgeInsets.interpolate(z,K,O),this._constrain(),this._calcMatrices()},yo.prototype.coveringZoomLevel=function(z){var K=(z.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/z.tileSize));return Math.max(0,K)},yo.prototype.getVisibleUnwrappedCoordinates=function(z){var K=[new i.UnwrappedTileID(0,z)];if(this._renderWorldCopies)for(var O=this.pointCoordinate(new i.Point(0,0)),$=this.pointCoordinate(new i.Point(this.width,0)),pe=this.pointCoordinate(new i.Point(this.width,this.height)),de=this.pointCoordinate(new i.Point(0,this.height)),Ie=Math.floor(Math.min(O.x,$.x,pe.x,de.x)),$e=Math.floor(Math.max(O.x,$.x,pe.x,de.x)),pt=1,Kt=Ie-pt;Kt<=$e+pt;Kt++)Kt!==0&&K.push(new i.UnwrappedTileID(Kt,z));return K},yo.prototype.coveringTiles=function(z){var K=this.coveringZoomLevel(z),O=K;if(z.minzoom!==void 0&&K<z.minzoom)return[];z.maxzoom!==void 0&&K>z.maxzoom&&(K=z.maxzoom);var $=i.MercatorCoordinate.fromLngLat(this.center),pe=Math.pow(2,K),de=[pe*$.x,pe*$.y,0],Ie=Ro.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,K),$e=z.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&($e=K);var pt=3,Kt=function(Ri){return{aabb:new Ds([Ri*pe,0,0],[(Ri+1)*pe,pe,0]),zoom:0,x:0,y:0,wrap:Ri,fullyVisible:!1}},ir=[],Jt=[],vt=K,Pt=z.reparseOverscaled?O:K;if(this._renderWorldCopies)for(var Wt=1;Wt<=3;Wt++)ir.push(Kt(-Wt)),ir.push(Kt(Wt));for(ir.push(Kt(0));ir.length>0;){var rr=ir.pop(),dr=rr.x,pr=rr.y,kr=rr.fullyVisible;if(!kr){var Ar=rr.aabb.intersects(Ie);if(Ar===0)continue;kr=Ar===2}var gr=rr.aabb.distanceX(de),Cr=rr.aabb.distanceY(de),cr=Math.max(Math.abs(gr),Math.abs(Cr)),Gr=pt+(1<<vt-rr.zoom)-2;if(rr.zoom===vt||cr>Gr&&rr.zoom>=$e){Jt.push({tileID:new i.OverscaledTileID(rr.zoom===vt?Pt:rr.zoom,rr.wrap,rr.zoom,dr,pr),distanceSq:i.sqrLen([de[0]-.5-dr,de[1]-.5-pr])});continue}for(var ei=0;ei<4;ei++){var yi=(dr<<1)+ei%2,tn=(pr<<1)+(ei>>1);ir.push({aabb:rr.aabb.quadrant(ei),zoom:rr.zoom+1,x:yi,y:tn,wrap:rr.wrap,fullyVisible:kr})}}return Jt.sort(function(Ri,ln){return Ri.distanceSq-ln.distanceSq}).map(function(Ri){return Ri.tileID})},yo.prototype.resize=function(z,K){this.width=z,this.height=K,this.pixelsToGLUnits=[2/z,-2/K],this._constrain(),this._calcMatrices()},po.unmodified.get=function(){return this._unmodified},yo.prototype.zoomScale=function(z){return Math.pow(2,z)},yo.prototype.scaleZoom=function(z){return Math.log(z)/Math.LN2},yo.prototype.project=function(z){var K=i.clamp(z.lat,-this.maxValidLatitude,this.maxValidLatitude);return new i.Point(i.mercatorXfromLng(z.lng)*this.worldSize,i.mercatorYfromLat(K)*this.worldSize)},yo.prototype.unproject=function(z){return new i.MercatorCoordinate(z.x/this.worldSize,z.y/this.worldSize).toLngLat()},po.point.get=function(){return this.project(this.center)},yo.prototype.setLocationAtPoint=function(z,K){var O=this.pointCoordinate(K),$=this.pointCoordinate(this.centerPoint),pe=this.locationCoordinate(z),de=new i.MercatorCoordinate(pe.x-(O.x-$.x),pe.y-(O.y-$.y));this.center=this.coordinateLocation(de),this._renderWorldCopies&&(this.center=this.center.wrap())},yo.prototype.locationPoint=function(z){return this.coordinatePoint(this.locationCoordinate(z))},yo.prototype.pointLocation=function(z){return this.coordinateLocation(this.pointCoordinate(z))},yo.prototype.locationCoordinate=function(z){return i.MercatorCoordinate.fromLngLat(z)},yo.prototype.coordinateLocation=function(z){return z.toLngLat()},yo.prototype.pointCoordinate=function(z){var K=0,O=[z.x,z.y,0,1],$=[z.x,z.y,1,1];i.transformMat4(O,O,this.pixelMatrixInverse),i.transformMat4($,$,this.pixelMatrixInverse);var pe=O[3],de=$[3],Ie=O[0]/pe,$e=$[0]/de,pt=O[1]/pe,Kt=$[1]/de,ir=O[2]/pe,Jt=$[2]/de,vt=ir===Jt?0:(K-ir)/(Jt-ir);return new i.MercatorCoordinate(i.number(Ie,$e,vt)/this.worldSize,i.number(pt,Kt,vt)/this.worldSize)},yo.prototype.coordinatePoint=function(z){var K=[z.x*this.worldSize,z.y*this.worldSize,0,1];return i.transformMat4(K,K,this.pixelMatrix),new i.Point(K[0]/K[3],K[1]/K[3])},yo.prototype.getBounds=function(){return new i.LngLatBounds().extend(this.pointLocation(new i.Point(0,0))).extend(this.pointLocation(new i.Point(this.width,0))).extend(this.pointLocation(new i.Point(this.width,this.height))).extend(this.pointLocation(new i.Point(0,this.height)))},yo.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new i.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},yo.prototype.setMaxBounds=function(z){z?(this.lngRange=[z.getWest(),z.getEast()],this.latRange=[z.getSouth(),z.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},yo.prototype.calculatePosMatrix=function(z,K){K===void 0&&(K=!1);var O=z.key,$=K?this._alignedPosMatrixCache:this._posMatrixCache;if($[O])return $[O];var pe=z.canonical,de=this.worldSize/this.zoomScale(pe.z),Ie=pe.x+Math.pow(2,pe.z)*z.wrap,$e=i.identity(new Float64Array(16));return i.translate($e,$e,[Ie*de,pe.y*de,0]),i.scale($e,$e,[de/i.EXTENT,de/i.EXTENT,1]),i.multiply($e,K?this.alignedProjMatrix:this.projMatrix,$e),$[O]=new Float32Array($e),$[O]},yo.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},yo.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var z=-90,K=90,O=-180,$=180,pe,de,Ie,$e,pt=this.size,Kt=this._unmodified;if(this.latRange){var ir=this.latRange;z=i.mercatorYfromLat(ir[1])*this.worldSize,K=i.mercatorYfromLat(ir[0])*this.worldSize,pe=K-z<pt.y?pt.y/(K-z):0}if(this.lngRange){var Jt=this.lngRange;O=i.mercatorXfromLng(Jt[0])*this.worldSize,$=i.mercatorXfromLng(Jt[1])*this.worldSize,de=$-O<pt.x?pt.x/($-O):0}var vt=this.point,Pt=Math.max(de||0,pe||0);if(Pt){this.center=this.unproject(new i.Point(de?($+O)/2:vt.x,pe?(K+z)/2:vt.y)),this.zoom+=this.scaleZoom(Pt),this._unmodified=Kt,this._constraining=!1;return}if(this.latRange){var Wt=vt.y,rr=pt.y/2;Wt-rr<z&&($e=z+rr),Wt+rr>K&&($e=K-rr)}if(this.lngRange){var dr=vt.x,pr=pt.x/2;dr-pr<O&&(Ie=O+pr),dr+pr>$&&(Ie=$-pr)}(Ie!==void 0||$e!==void 0)&&(this.center=this.unproject(new i.Point(Ie!==void 0?Ie:vt.x,$e!==void 0?$e:vt.y))),this._unmodified=Kt,this._constraining=!1}},yo.prototype._calcMatrices=function(){if(this.height){var z=this._fov/2,K=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(z)*this.height;var O=Math.PI/2+this._pitch,$=this._fov*(.5+K.y/this.height),pe=Math.sin($)*this.cameraToCenterDistance/Math.sin(i.clamp(Math.PI-O-$,.01,Math.PI-.01)),de=this.point,Ie=de.x,$e=de.y,pt=Math.cos(Math.PI/2-this._pitch)*pe+this.cameraToCenterDistance,Kt=pt*1.01,ir=this.height/50,Jt=new Float64Array(16);i.perspective(Jt,this._fov,this.width/this.height,ir,Kt),Jt[8]=-K.x*2/this.width,Jt[9]=K.y*2/this.height,i.scale(Jt,Jt,[1,-1,1]),i.translate(Jt,Jt,[0,0,-this.cameraToCenterDistance]),i.rotateX(Jt,Jt,this._pitch),i.rotateZ(Jt,Jt,this.angle),i.translate(Jt,Jt,[-Ie,-$e,0]),this.mercatorMatrix=i.scale([],Jt,[this.worldSize,this.worldSize,this.worldSize]),i.scale(Jt,Jt,[1,1,i.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=Jt,this.invProjMatrix=i.invert([],this.projMatrix);var vt=this.width%2/2,Pt=this.height%2/2,Wt=Math.cos(this.angle),rr=Math.sin(this.angle),dr=Ie-Math.round(Ie)+Wt*vt+rr*Pt,pr=$e-Math.round($e)+Wt*Pt+rr*vt,kr=new Float64Array(Jt);if(i.translate(kr,kr,[dr>.5?dr-1:dr,pr>.5?pr-1:pr,0]),this.alignedProjMatrix=kr,Jt=i.create(),i.scale(Jt,Jt,[this.width/2,-this.height/2,1]),i.translate(Jt,Jt,[1,-1,0]),this.labelPlaneMatrix=Jt,Jt=i.create(),i.scale(Jt,Jt,[1,-1,1]),i.translate(Jt,Jt,[-1,-1,0]),i.scale(Jt,Jt,[2/this.width,2/this.height,1]),this.glCoordMatrix=Jt,this.pixelMatrix=i.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),Jt=i.invert(new Float64Array(16),this.pixelMatrix),!Jt)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=Jt,this._posMatrixCache={},this._alignedPosMatrixCache={}}},yo.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var z=this.pointCoordinate(new i.Point(0,0)),K=[z.x*this.worldSize,z.y*this.worldSize,0,1],O=i.transformMat4(K,K,this.pixelMatrix);return O[3]/this.cameraToCenterDistance},yo.prototype.getCameraPoint=function(){var z=this._pitch,K=Math.tan(z)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new i.Point(0,K))},yo.prototype.getCameraQueryGeometry=function(z){var K=this.getCameraPoint();if(z.length===1)return[z[0],K];for(var O=K.x,$=K.y,pe=K.x,de=K.y,Ie=0,$e=z;Ie<$e.length;Ie+=1){var pt=$e[Ie];O=Math.min(O,pt.x),$=Math.min($,pt.y),pe=Math.max(pe,pt.x),de=Math.max(de,pt.y)}return[new i.Point(O,$),new i.Point(pe,$),new i.Point(pe,de),new i.Point(O,de),new i.Point(O,$)]},Object.defineProperties(yo.prototype,po);function _l(Y,z){var K=!1,O=null,$=function(){O=null,K&&(Y(),O=setTimeout($,z),K=!1)};return function(){return K=!0,O||$(),O}}var Vl=function(z){this._hashName=z&&encodeURIComponent(z),i.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=_l(this._updateHashUnthrottled.bind(this),30*1e3/100)};Vl.prototype.addTo=function(z){return this._map=z,i.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Vl.prototype.remove=function(){return i.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Vl.prototype.getHashString=function(z){var K=this._map.getCenter(),O=Math.round(this._map.getZoom()*100)/100,$=Math.ceil((O*Math.LN2+Math.log(512/360/.5))/Math.LN10),pe=Math.pow(10,$),de=Math.round(K.lng*pe)/pe,Ie=Math.round(K.lat*pe)/pe,$e=this._map.getBearing(),pt=this._map.getPitch(),Kt=\"\";if(z?Kt+=\"/\"+de+\"/\"+Ie+\"/\"+O:Kt+=O+\"/\"+Ie+\"/\"+de,($e||pt)&&(Kt+=\"/\"+Math.round($e*10)/10),pt&&(Kt+=\"/\"+Math.round(pt)),this._hashName){var ir=this._hashName,Jt=!1,vt=i.window.location.hash.slice(1).split(\"&\").map(function(Pt){var Wt=Pt.split(\"=\")[0];return Wt===ir?(Jt=!0,Wt+\"=\"+Kt):Pt}).filter(function(Pt){return Pt});return Jt||vt.push(ir+\"=\"+Kt),\"#\"+vt.join(\"&\")}return\"#\"+Kt},Vl.prototype._getCurrentHash=function(){var z=this,K=i.window.location.hash.replace(\"#\",\"\");if(this._hashName){var O;return K.split(\"&\").map(function($){return $.split(\"=\")}).forEach(function($){$[0]===z._hashName&&(O=$)}),(O&&O[1]||\"\").split(\"/\")}return K.split(\"/\")},Vl.prototype._onHashChange=function(){var z=this._getCurrentHash();if(z.length>=3&&!z.some(function(O){return isNaN(O)})){var K=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(z[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+z[2],+z[1]],zoom:+z[0],bearing:K,pitch:+(z[4]||0)}),!0}return!1},Vl.prototype._updateHashUnthrottled=function(){var z=i.window.location.href.replace(/(#.+)?$/,this.getHashString());try{i.window.history.replaceState(i.window.history.state,null,z)}catch(K){}};var Zu={linearity:.3,easing:i.bezier(0,0,.3,1)},cu=i.extend({deceleration:2500,maxSpeed:1400},Zu),el=i.extend({deceleration:20,maxSpeed:1400},Zu),nu=i.extend({deceleration:1e3,maxSpeed:360},Zu),zc=i.extend({deceleration:1e3,maxSpeed:90},Zu),Dl=function(z){this._map=z,this.clear()};Dl.prototype.clear=function(){this._inertiaBuffer=[]},Dl.prototype.record=function(z){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.browser.now(),settings:z})},Dl.prototype._drainInertiaBuffer=function(){for(var z=this._inertiaBuffer,K=i.browser.now(),O=160;z.length>0&&K-z[0].time>O;)z.shift()},Dl.prototype._onMoveEnd=function(z){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var K={zoom:0,bearing:0,pitch:0,pan:new i.Point(0,0),pinchAround:void 0,around:void 0},O=0,$=this._inertiaBuffer;O<$.length;O+=1){var pe=$[O],de=pe.settings;K.zoom+=de.zoomDelta||0,K.bearing+=de.bearingDelta||0,K.pitch+=de.pitchDelta||0,de.panDelta&&K.pan._add(de.panDelta),de.around&&(K.around=de.around),de.pinchAround&&(K.pinchAround=de.pinchAround)}var Ie=this._inertiaBuffer[this._inertiaBuffer.length-1],$e=Ie.time-this._inertiaBuffer[0].time,pt={};if(K.pan.mag()){var Kt=Z(K.pan.mag(),$e,i.extend({},cu,z||{}));pt.offset=K.pan.mult(Kt.amount/K.pan.mag()),pt.center=this._map.transform.center,zl(pt,Kt)}if(K.zoom){var ir=Z(K.zoom,$e,el);pt.zoom=this._map.transform.zoom+ir.amount,zl(pt,ir)}if(K.bearing){var Jt=Z(K.bearing,$e,nu);pt.bearing=this._map.transform.bearing+i.clamp(Jt.amount,-179,179),zl(pt,Jt)}if(K.pitch){var vt=Z(K.pitch,$e,zc);pt.pitch=this._map.transform.pitch+vt.amount,zl(pt,vt)}if(pt.zoom||pt.bearing){var Pt=K.pinchAround===void 0?K.around:K.pinchAround;pt.around=Pt?this._map.unproject(Pt):this._map.getCenter()}return this.clear(),i.extend(pt,{noMoveStart:!0})}};function zl(Y,z){(!Y.duration||Y.duration<z.duration)&&(Y.duration=z.duration,Y.easing=z.easing)}function Z(Y,z,K){var O=K.maxSpeed,$=K.linearity,pe=K.deceleration,de=i.clamp(Y*$/(z/1e3),-O,O),Ie=Math.abs(de)/(pe*$);return{easing:K.easing,duration:Ie*1e3,amount:de*(Ie/2)}}var oe=function(Y){function z(O,$,pe,de){de===void 0&&(de={});var Ie=o.mousePos($.getCanvasContainer(),pe),$e=$.unproject(Ie);Y.call(this,O,i.extend({point:Ie,lngLat:$e,originalEvent:pe},de)),this._defaultPrevented=!1,this.target=$}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={defaultPrevented:{configurable:!0}};return z.prototype.preventDefault=function(){this._defaultPrevented=!0},K.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(z.prototype,K),z}(i.Event),we=function(Y){function z(O,$,pe){var de=O===\"touchend\"?pe.changedTouches:pe.touches,Ie=o.touchPos($.getCanvasContainer(),de),$e=Ie.map(function(ir){return $.unproject(ir)}),pt=Ie.reduce(function(ir,Jt,vt,Pt){return ir.add(Jt.div(Pt.length))},new i.Point(0,0)),Kt=$.unproject(pt);Y.call(this,O,{points:Ie,point:pt,lngLats:$e,lngLat:Kt,originalEvent:pe}),this._defaultPrevented=!1}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={defaultPrevented:{configurable:!0}};return z.prototype.preventDefault=function(){this._defaultPrevented=!0},K.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(z.prototype,K),z}(i.Event),Be=function(Y){function z(O,$,pe){Y.call(this,O,{originalEvent:pe}),this._defaultPrevented=!1}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={defaultPrevented:{configurable:!0}};return z.prototype.preventDefault=function(){this._defaultPrevented=!0},K.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(z.prototype,K),z}(i.Event),Ue=function(z,K){this._map=z,this._clickTolerance=K.clickTolerance};Ue.prototype.reset=function(){delete this._mousedownPos},Ue.prototype.wheel=function(z){return this._firePreventable(new Be(z.type,this._map,z))},Ue.prototype.mousedown=function(z,K){return this._mousedownPos=K,this._firePreventable(new oe(z.type,this._map,z))},Ue.prototype.mouseup=function(z){this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.click=function(z,K){this._mousedownPos&&this._mousedownPos.dist(K)>=this._clickTolerance||this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.dblclick=function(z){return this._firePreventable(new oe(z.type,this._map,z))},Ue.prototype.mouseover=function(z){this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.mouseout=function(z){this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.touchstart=function(z){return this._firePreventable(new we(z.type,this._map,z))},Ue.prototype.touchmove=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype.touchend=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype.touchcancel=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype._firePreventable=function(z){if(this._map.fire(z),z.defaultPrevented)return{}},Ue.prototype.isEnabled=function(){return!0},Ue.prototype.isActive=function(){return!1},Ue.prototype.enable=function(){},Ue.prototype.disable=function(){};var We=function(z){this._map=z};We.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},We.prototype.mousemove=function(z){this._map.fire(new oe(z.type,this._map,z))},We.prototype.mousedown=function(){this._delayContextMenu=!0},We.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new oe(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},We.prototype.contextmenu=function(z){this._delayContextMenu?this._contextMenuEvent=z:this._map.fire(new oe(z.type,this._map,z)),this._map.listens(\"contextmenu\")&&z.preventDefault()},We.prototype.isEnabled=function(){return!0},We.prototype.isActive=function(){return!1},We.prototype.enable=function(){},We.prototype.disable=function(){};var wt=function(z,K){this._map=z,this._el=z.getCanvasContainer(),this._container=z.getContainer(),this._clickTolerance=K.clickTolerance||1};wt.prototype.isEnabled=function(){return!!this._enabled},wt.prototype.isActive=function(){return!!this._active},wt.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},wt.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},wt.prototype.mousedown=function(z,K){this.isEnabled()&&z.shiftKey&&z.button===0&&(o.disableDrag(),this._startPos=this._lastPos=K,this._active=!0)},wt.prototype.mousemoveWindow=function(z,K){if(this._active){var O=K;if(!(this._lastPos.equals(O)||!this._box&&O.dist(this._startPos)<this._clickTolerance)){var $=this._startPos;this._lastPos=O,this._box||(this._box=o.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",z));var pe=Math.min($.x,O.x),de=Math.max($.x,O.x),Ie=Math.min($.y,O.y),$e=Math.max($.y,O.y);o.setTransform(this._box,\"translate(\"+pe+\"px,\"+Ie+\"px)\"),this._box.style.width=de-pe+\"px\",this._box.style.height=$e-Ie+\"px\"}}},wt.prototype.mouseupWindow=function(z,K){var O=this;if(this._active&&z.button===0){var $=this._startPos,pe=K;if(this.reset(),o.suppressClick(),$.x===pe.x&&$.y===pe.y)this._fireEvent(\"boxzoomcancel\",z);else return this._map.fire(new i.Event(\"boxzoomend\",{originalEvent:z})),{cameraAnimation:function(de){return de.fitScreenCoordinates($,pe,O._map.getBearing(),{linear:!0})}}}},wt.prototype.keydown=function(z){this._active&&z.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",z))},wt.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos},wt.prototype._fireEvent=function(z,K){return this._map.fire(new i.Event(z,{originalEvent:K}))};function tt(Y,z){for(var K={},O=0;O<Y.length;O++)K[Y[O].identifier]=z[O];return K}function zt(Y){for(var z=new i.Point(0,0),K=0,O=Y;K<O.length;K+=1){var $=O[K];z._add($)}return z.div(Y.length)}var or=500,lr=500,Dr=30,Ir=function(z){this.reset(),this.numTouches=z.numTouches};Ir.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Ir.prototype.touchstart=function(z,K,O){(this.centroid||O.length>this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=z.timeStamp),O.length===this.numTouches&&(this.centroid=zt(K),this.touches=tt(O,K)))},Ir.prototype.touchmove=function(z,K,O){if(!(this.aborted||!this.centroid)){var $=tt(O,K);for(var pe in this.touches){var de=this.touches[pe],Ie=$[pe];(!Ie||Ie.dist(de)>Dr)&&(this.aborted=!0)}}},Ir.prototype.touchend=function(z,K,O){if((!this.centroid||z.timeStamp-this.startTime>lr)&&(this.aborted=!0),O.length===0){var $=!this.aborted&&this.centroid;if(this.reset(),$)return $}};var oi=function(z){this.singleTap=new Ir(z),this.numTaps=z.numTaps,this.reset()};oi.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},oi.prototype.touchstart=function(z,K,O){this.singleTap.touchstart(z,K,O)},oi.prototype.touchmove=function(z,K,O){this.singleTap.touchmove(z,K,O)},oi.prototype.touchend=function(z,K,O){var $=this.singleTap.touchend(z,K,O);if($){var pe=z.timeStamp-this.lastTime<or,de=!this.lastTap||this.lastTap.dist($)<Dr;if((!pe||!de)&&this.reset(),this.count++,this.lastTime=z.timeStamp,this.lastTap=$,this.count===this.numTaps)return this.reset(),$}};var ui=function(){this._zoomIn=new oi({numTouches:1,numTaps:2}),this._zoomOut=new oi({numTouches:2,numTaps:1}),this.reset()};ui.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},ui.prototype.touchstart=function(z,K,O){this._zoomIn.touchstart(z,K,O),this._zoomOut.touchstart(z,K,O)},ui.prototype.touchmove=function(z,K,O){this._zoomIn.touchmove(z,K,O),this._zoomOut.touchmove(z,K,O)},ui.prototype.touchend=function(z,K,O){var 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ci=function(z){this.reset(),this._clickTolerance=z.clickTolerance||1};ci.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},ci.prototype._correctButton=function(z,K){return!1},ci.prototype._move=function(z,K){return{}},ci.prototype.mousedown=function(z,K){if(!this._lastPoint){var O=o.mouseButton(z);this._correctButton(z,O)&&(this._lastPoint=K,this._eventButton=O)}},ci.prototype.mousemoveWindow=function(z,K){var O=this._lastPoint;if(O){if(z.preventDefault(),vi(z,this._eventButton)){this.reset();return}if(!(!this._moved&&K.dist(O)<this._clickTolerance))return this._moved=!0,this._lastPoint=K,this._move(O,K)}},ci.prototype.mouseupWindow=function(z){if(this._lastPoint){var K=o.mouseButton(z);K===this._eventButton&&(this._moved&&o.suppressClick(),this.reset())}},ci.prototype.enable=function(){this._enabled=!0},ci.prototype.disable=function(){this._enabled=!1,this.reset()},ci.prototype.isEnabled=function(){return this._enabled},ci.prototype.isActive=function(){return this._active};var Jr=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.mousedown=function(O,$){Y.prototype.mousedown.call(this,O,$),this._lastPoint&&(this._active=!0)},z.prototype._correctButton=function(O,$){return $===qr&&!O.ctrlKey},z.prototype._move=function(O,$){return{around:$,panDelta:$.sub(O)}},z}(ci),un=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype._correctButton=function(O,$){return $===qr&&O.ctrlKey||$===Kr},z.prototype._move=function(O,$){var pe=.8,de=($.x-O.x)*pe;if(de)return this._active=!0,{bearingDelta:de}},z.prototype.contextmenu=function(O){O.preventDefault()},z}(ci),dn=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype._correctButton=function(O,$){return $===qr&&O.ctrlKey||$===Kr},z.prototype._move=function(O,$){var pe=-.5,de=($.y-O.y)*pe;if(de)return this._active=!0,{pitchDelta:de}},z.prototype.contextmenu=function(O){O.preventDefault()},z}(ci),En=function(z){this._minTouches=1,this._clickTolerance=z.clickTolerance||1,this.reset()};En.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new i.Point(0,0)},En.prototype.touchstart=function(z,K,O){return this._calculateTransform(z,K,O)},En.prototype.touchmove=function(z,K,O){if(!(!this._active||O.length<this._minTouches))return z.preventDefault(),this._calculateTransform(z,K,O)},En.prototype.touchend=function(z,K,O){this._calculateTransform(z,K,O),this._active&&O.length<this._minTouches&&this.reset()},En.prototype.touchcancel=function(){this.reset()},En.prototype._calculateTransform=function(z,K,O){O.length>0&&(this._active=!0);var $=tt(O,K),pe=new i.Point(0,0),de=new i.Point(0,0),Ie=0;for(var $e in $){var pt=$[$e],Kt=this._touches[$e];Kt&&(pe._add(pt),de._add(pt.sub(Kt)),Ie++,$[$e]=pt)}if(this._touches=$,!(Ie<this._minTouches||!de.mag())){var ir=de.div(Ie);if(this._sum._add(ir),!(this._sum.mag()<this._clickTolerance)){var Jt=pe.div(Ie);return{around:Jt,panDelta:ir}}}},En.prototype.enable=function(){this._enabled=!0},En.prototype.disable=function(){this._enabled=!1,this.reset()},En.prototype.isEnabled=function(){return this._enabled},En.prototype.isActive=function(){return this._active};var Nn=function(){this.reset()};Nn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Nn.prototype._start=function(z){},Nn.prototype._move=function(z,K,O){return{}},Nn.prototype.touchstart=function(z,K,O){this._firstTwoTouches||O.length<2||(this._firstTwoTouches=[O[0].identifier,O[1].identifier],this._start([K[0],K[1]]))},Nn.prototype.touchmove=function(z,K,O){if(this._firstTwoTouches){z.preventDefault();var $=this._firstTwoTouches,pe=$[0],de=$[1],Ie=ga(O,K,pe),$e=ga(O,K,de);if(!(!Ie||!$e)){var pt=this._aroundCenter?null:Ie.add($e).div(2);return this._move([Ie,$e],pt,z)}}},Nn.prototype.touchend=function(z,K,O){if(this._firstTwoTouches){var $=this._firstTwoTouches,pe=$[0],de=$[1],Ie=ga(O,K,pe),$e=ga(O,K,de);Ie&&$e||(this._active&&o.suppressClick(),this.reset())}},Nn.prototype.touchcancel=function(){this.reset()},Nn.prototype.enable=function(z){this._enabled=!0,this._aroundCenter=!!z&&z.around===\"center\"},Nn.prototype.disable=function(){this._enabled=!1,this.reset()},Nn.prototype.isEnabled=function(){return this._enabled},Nn.prototype.isActive=function(){return this._active};function ga(Y,z,K){for(var O=0;O<Y.length;O++)if(Y[O].identifier===K)return z[O]}var ya=.1;function so(Y,z){return Math.log(Y/z)/Math.LN2}var wa=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.reset=function(){Y.prototype.reset.call(this),delete this._distance,delete this._startDistance},z.prototype._start=function(O){this._startDistance=this._distance=O[0].dist(O[1])},z.prototype._move=function(O,$){var pe=this._distance;if(this._distance=O[0].dist(O[1]),!(!this._active&&Math.abs(so(this._distance,this._startDistance))<ya))return this._active=!0,{zoomDelta:so(this._distance,pe),pinchAround:$}},z}(Nn),io=25;function Ss(Y,z){return Y.angleWith(z)*180/Math.PI}var _s=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.reset=function(){Y.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},z.prototype._start=function(O){this._startVector=this._vector=O[0].sub(O[1]),this._minDiameter=O[0].dist(O[1])},z.prototype._move=function(O,$){var pe=this._vector;if(this._vector=O[0].sub(O[1]),!(!this._active&&this._isBelowThreshold(this._vector)))return this._active=!0,{bearingDelta:Ss(this._vector,pe),pinchAround:$}},z.prototype._isBelowThreshold=function(O){this._minDiameter=Math.min(this._minDiameter,O.mag());var $=Math.PI*this._minDiameter,pe=io/$*360,de=Ss(O,this._startVector);return Math.abs(de)<pe},z}(Nn);function Ns(Y){return Math.abs(Y.y)>Math.abs(Y.x)}var pn=100,za=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.reset=function(){Y.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},z.prototype._start=function(O){this._lastPoints=O,Ns(O[0].sub(O[1]))&&(this._valid=!1)},z.prototype._move=function(O,$,pe){var de=O[0].sub(this._lastPoints[0]),Ie=O[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(de,Ie,pe.timeStamp),!!this._valid){this._lastPoints=O,this._active=!0;var $e=(de.y+Ie.y)/2,pt=-.5;return{pitchDelta:$e*pt}}},z.prototype.gestureBeginsVertically=function(O,$,pe){if(this._valid!==void 0)return this._valid;var de=2,Ie=O.mag()>=de,$e=$.mag()>=de;if(!(!Ie&&!$e)){if(!Ie||!$e)return this._firstMove===void 0&&(this._firstMove=pe),pe-this._firstMove<pn?void 0:!1;var pt=O.y>0==$.y>0;return Ns(O)&&Ns($)&&pt}},z}(Nn),Lo={panStep:100,bearingStep:15,pitchStep:10},Fo=function(){var z=Lo;this._panStep=z.panStep,this._bearingStep=z.bearingStep,this._pitchStep=z.pitchStep,this._rotationDisabled=!1};Fo.prototype.reset=function(){this._active=!1},Fo.prototype.keydown=function(z){var K=this;if(!(z.altKey||z.ctrlKey||z.metaKey)){var O=0,$=0,pe=0,de=0,Ie=0;switch(z.keyCode){case 61:case 107:case 171:case 187:O=1;break;case 189:case 109:case 173:O=-1;break;case 37:z.shiftKey?$=-1:(z.preventDefault(),de=-1);break;case 39:z.shiftKey?$=1:(z.preventDefault(),de=1);break;case 38:z.shiftKey?pe=1:(z.preventDefault(),Ie=-1);break;case 40:z.shiftKey?pe=-1:(z.preventDefault(),Ie=1);break;default:return}return this._rotationDisabled&&($=0,pe=0),{cameraAnimation:function($e){var pt=$e.getZoom();$e.easeTo({duration:300,easeId:\"keyboardHandler\",easing:js,zoom:O?Math.round(pt)+O*(z.shiftKey?2:1):pt,bearing:$e.getBearing()+$*K._bearingStep,pitch:$e.getPitch()+pe*K._pitchStep,offset:[-de*K._panStep,-Ie*K._panStep],center:$e.getCenter()},{originalEvent:z})}}}},Fo.prototype.enable=function(){this._enabled=!0},Fo.prototype.disable=function(){this._enabled=!1,this.reset()},Fo.prototype.isEnabled=function(){return this._enabled},Fo.prototype.isActive=function(){return this._active},Fo.prototype.disableRotation=function(){this._rotationDisabled=!0},Fo.prototype.enableRotation=function(){this._rotationDisabled=!1};function js(Y){return Y*(2-Y)}var xl=4.000244140625,fu=1/100,dl=1/450,xc=2,At=function(z,K){this._map=z,this._el=z.getCanvasContainer(),this._handler=K,this._delta=0,this._defaultZoomRate=fu,this._wheelZoomRate=dl,i.bindAll([\"_onTimeout\"],this)};At.prototype.setZoomRate=function(z){this._defaultZoomRate=z},At.prototype.setWheelZoomRate=function(z){this._wheelZoomRate=z},At.prototype.isEnabled=function(){return!!this._enabled},At.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},At.prototype.isZooming=function(){return!!this._zooming},At.prototype.enable=function(z){this.isEnabled()||(this._enabled=!0,this._aroundCenter=z&&z.around===\"center\")},At.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},At.prototype.wheel=function(z){if(this.isEnabled()){var K=z.deltaMode===i.window.WheelEvent.DOM_DELTA_LINE?z.deltaY*40:z.deltaY,O=i.browser.now(),$=O-(this._lastWheelEventTime||0);this._lastWheelEventTime=O,K!==0&&K%xl===0?this._type=\"wheel\":K!==0&&Math.abs(K)<4?this._type=\"trackpad\":$>400?(this._type=null,this._lastValue=K,this._timeout=setTimeout(this._onTimeout,40,z)):this._type||(this._type=Math.abs($*K)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,K+=this._lastValue)),z.shiftKey&&K&&(K=K/4),this._type&&(this._lastWheelEvent=z,this._delta-=K,this._active||this._start(z)),z.preventDefault()}},At.prototype._onTimeout=function(z){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(z)},At.prototype._start=function(z){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var K=o.mousePos(this._el,z);this._around=i.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(K)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},At.prototype.renderFrame=function(){var z=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var K=this._map.transform;if(this._delta!==0){var O=this._type===\"wheel\"&&Math.abs(this._delta)>xl?this._wheelZoomRate:this._defaultZoomRate,$=xc/(1+Math.exp(-Math.abs(this._delta*O)));this._delta<0&&$!==0&&($=1/$);var pe=typeof this._targetZoom==\"number\"?K.zoomScale(this._targetZoom):K.scale;this._targetZoom=Math.min(K.maxZoom,Math.max(K.minZoom,K.scaleZoom(pe*$))),this._type===\"wheel\"&&(this._startZoom=K.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var de=typeof this._targetZoom==\"number\"?this._targetZoom:K.zoom,Ie=this._startZoom,$e=this._easing,pt=!1,Kt;if(this._type===\"wheel\"&&Ie&&$e){var ir=Math.min((i.browser.now()-this._lastWheelEventTime)/200,1),Jt=$e(ir);Kt=i.number(Ie,de,Jt),ir<1?this._frameId||(this._frameId=!0):pt=!0}else Kt=de,pt=!0;return this._active=!0,pt&&(this._active=!1,this._finishTimeout=setTimeout(function(){z._zooming=!1,z._handler._triggerRenderFrame(),delete z._targetZoom,delete z._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!pt,zoomDelta:Kt-K.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},At.prototype._smoothOutEasing=function(z){var K=i.ease;if(this._prevEase){var O=this._prevEase,$=(i.browser.now()-O.start)/O.duration,pe=O.easing($+.01)-O.easing($),de=.27/Math.sqrt(pe*pe+1e-4)*.01,Ie=Math.sqrt(.27*.27-de*de);K=i.bezier(de,Ie,.25,1)}return this._prevEase={start:i.browser.now(),duration:z,easing:K},K},At.prototype.reset=function(){this._active=!1};var Er=function(z,K){this._clickZoom=z,this._tapZoom=K};Er.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},Er.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},Er.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},Er.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var Wr=function(){this.reset()};Wr.prototype.reset=function(){this._active=!1},Wr.prototype.dblclick=function(z,K){return z.preventDefault(),{cameraAnimation:function(O){O.easeTo({duration:300,zoom:O.getZoom()+(z.shiftKey?-1:1),around:O.unproject(K)},{originalEvent:z})}}},Wr.prototype.enable=function(){this._enabled=!0},Wr.prototype.disable=function(){this._enabled=!1,this.reset()},Wr.prototype.isEnabled=function(){return this._enabled},Wr.prototype.isActive=function(){return this._active};var wi=function(){this._tap=new oi({numTouches:1,numTaps:1}),this.reset()};wi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},wi.prototype.touchstart=function(z,K,O){this._swipePoint||(this._tapTime&&z.timeStamp-this._tapTime>or&&this.reset(),this._tapTime?O.length>0&&(this._swipePoint=K[0],this._swipeTouch=O[0].identifier):this._tap.touchstart(z,K,O))},wi.prototype.touchmove=function(z,K,O){if(!this._tapTime)this._tap.touchmove(z,K,O);else if(this._swipePoint){if(O[0].identifier!==this._swipeTouch)return;var $=K[0],pe=$.y-this._swipePoint.y;return this._swipePoint=$,z.preventDefault(),this._active=!0,{zoomDelta:pe/128}}},wi.prototype.touchend=function(z,K,O){if(this._tapTime)this._swipePoint&&O.length===0&&this.reset();else{var $=this._tap.touchend(z,K,O);$&&(this._tapTime=z.timeStamp)}},wi.prototype.touchcancel=function(){this.reset()},wi.prototype.enable=function(){this._enabled=!0},wi.prototype.disable=function(){this._enabled=!1,this.reset()},wi.prototype.isEnabled=function(){return this._enabled},wi.prototype.isActive=function(){return this._active};var Ui=function(z,K,O){this._el=z,this._mousePan=K,this._touchPan=O};Ui.prototype.enable=function(z){this._inertiaOptions=z||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},Ui.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},Ui.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},Ui.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var Oi=function(z,K,O){this._pitchWithRotate=z.pitchWithRotate,this._mouseRotate=K,this._mousePitch=O};Oi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},Oi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},Oi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},Oi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var Bi=function(z,K,O,$){this._el=z,this._touchZoom=K,this._touchRotate=O,this._tapDragZoom=$,this._rotationDisabled=!1,this._enabled=!0};Bi.prototype.enable=function(z){this._touchZoom.enable(z),this._rotationDisabled||this._touchRotate.enable(z),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},Bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},Bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},Bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},Bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},Bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var cn=function(Y){return Y.zoom||Y.drag||Y.pitch||Y.rotate},On=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z}(i.Event);function Bn(Y){return Y.panDelta&&Y.panDelta.mag()||Y.zoomDelta||Y.bearingDelta||Y.pitchDelta}var yn=function(z,K){this._map=z,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Dl(z),this._bearingSnap=K.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(K),i.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var O=this._el;this._listeners=[[O,\"touchstart\",{passive:!0}],[O,\"touchmove\",{passive:!1}],[O,\"touchend\",void 0],[O,\"touchcancel\",void 0],[O,\"mousedown\",void 0],[O,\"mousemove\",void 0],[O,\"mouseup\",void 0],[i.window.document,\"mousemove\",{capture:!0}],[i.window.document,\"mouseup\",void 0],[O,\"mouseover\",void 0],[O,\"mouseout\",void 0],[O,\"dblclick\",void 0],[O,\"click\",void 0],[O,\"keydown\",{capture:!1}],[O,\"keyup\",void 0],[O,\"wheel\",{passive:!1}],[O,\"contextmenu\",void 0],[i.window,\"blur\",void 0]];for(var $=0,pe=this._listeners;$<pe.length;$+=1){var de=pe[$],Ie=de[0],$e=de[1],pt=de[2];o.addEventListener(Ie,$e,Ie===i.window.document?this.handleWindowEvent:this.handleEvent,pt)}};yn.prototype.destroy=function(){for(var z=0,K=this._listeners;z<K.length;z+=1){var O=K[z],$=O[0],pe=O[1],de=O[2];o.removeEventListener($,pe,$===i.window.document?this.handleWindowEvent:this.handleEvent,de)}},yn.prototype._addDefaultHandlers=function(z){var K=this._map,O=K.getCanvasContainer();this._add(\"mapEvent\",new Ue(K,z));var $=K.boxZoom=new wt(K,z);this._add(\"boxZoom\",$);var pe=new ui,de=new Wr;K.doubleClickZoom=new Er(de,pe),this._add(\"tapZoom\",pe),this._add(\"clickZoom\",de);var Ie=new wi;this._add(\"tapDragZoom\",Ie);var $e=K.touchPitch=new za;this._add(\"touchPitch\",$e);var pt=new un(z),Kt=new dn(z);K.dragRotate=new Oi(z,pt,Kt),this._add(\"mouseRotate\",pt,[\"mousePitch\"]),this._add(\"mousePitch\",Kt,[\"mouseRotate\"]);var ir=new Jr(z),Jt=new En(z);K.dragPan=new Ui(O,ir,Jt),this._add(\"mousePan\",ir),this._add(\"touchPan\",Jt,[\"touchZoom\",\"touchRotate\"]);var vt=new _s,Pt=new wa;K.touchZoomRotate=new Bi(O,Pt,vt,Ie),this._add(\"touchRotate\",vt,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",Pt,[\"touchPan\",\"touchRotate\"]);var Wt=K.scrollZoom=new At(K,this);this._add(\"scrollZoom\",Wt,[\"mousePan\"]);var rr=K.keyboard=new Fo;this._add(\"keyboard\",rr),this._add(\"blockableMapEvent\",new We(K));for(var dr=0,pr=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];dr<pr.length;dr+=1){var kr=pr[dr];z.interactive&&z[kr]&&K[kr].enable(z[kr])}},yn.prototype._add=function(z,K,O){this._handlers.push({handlerName:z,handler:K,allowed:O}),this._handlersById[z]=K},yn.prototype.stop=function(z){if(!this._updatingCamera){for(var K=0,O=this._handlers;K<O.length;K+=1){var $=O[K],pe=$.handler;pe.reset()}this._inertia.clear(),this._fireEvents({},{},z),this._changes=[]}},yn.prototype.isActive=function(){for(var z=0,K=this._handlers;z<K.length;z+=1){var O=K[z],$=O.handler;if($.isActive())return!0}return!1},yn.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yn.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yn.prototype.isMoving=function(){return!!cn(this._eventsInProgress)||this.isZooming()},yn.prototype._blockedByActive=function(z,K,O){for(var $ in z)if($!==O&&(!K||K.indexOf($)<0))return!0;return!1},yn.prototype.handleWindowEvent=function(z){this.handleEvent(z,z.type+\"Window\")},yn.prototype._getMapTouches=function(z){for(var K=[],O=0,$=z;O<$.length;O+=1){var pe=$[O],de=pe.target;this._el.contains(de)&&K.push(pe)}return K},yn.prototype.handleEvent=function(z,K){if(z.type===\"blur\"){this.stop(!0);return}this._updatingCamera=!0;for(var O=z.type===\"renderFrame\"?void 0:z,$={needsRenderFrame:!1},pe={},de={},Ie=z.touches?this._getMapTouches(z.touches):void 0,$e=Ie?o.touchPos(this._el,Ie):o.mousePos(this._el,z),pt=0,Kt=this._handlers;pt<Kt.length;pt+=1){var ir=Kt[pt],Jt=ir.handlerName,vt=ir.handler,Pt=ir.allowed;if(vt.isEnabled()){var Wt=void 0;this._blockedByActive(de,Pt,Jt)?vt.reset():vt[K||z.type]&&(Wt=vt[K||z.type](z,$e,Ie),this.mergeHandlerResult($,pe,Wt,Jt,O),Wt&&Wt.needsRenderFrame&&this._triggerRenderFrame()),(Wt||vt.isActive())&&(de[Jt]=vt)}}var rr={};for(var dr in this._previousActiveHandlers)de[dr]||(rr[dr]=O);this._previousActiveHandlers=de,(Object.keys(rr).length||Bn($))&&(this._changes.push([$,pe,rr]),this._triggerRenderFrame()),(Object.keys(de).length||Bn($))&&this._map._stop(!0),this._updatingCamera=!1;var pr=$.cameraAnimation;pr&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],pr(this._map))},yn.prototype.mergeHandlerResult=function(z,K,O,$,pe){if(O){i.extend(z,O);var de={handlerName:$,originalEvent:O.originalEvent||pe};O.zoomDelta!==void 0&&(K.zoom=de),O.panDelta!==void 0&&(K.drag=de),O.pitchDelta!==void 0&&(K.pitch=de),O.bearingDelta!==void 0&&(K.rotate=de)}},yn.prototype._applyChanges=function(){for(var z={},K={},O={},$=0,pe=this._changes;$<pe.length;$+=1){var de=pe[$],Ie=de[0],$e=de[1],pt=de[2];Ie.panDelta&&(z.panDelta=(z.panDelta||new i.Point(0,0))._add(Ie.panDelta)),Ie.zoomDelta&&(z.zoomDelta=(z.zoomDelta||0)+Ie.zoomDelta),Ie.bearingDelta&&(z.bearingDelta=(z.bearingDelta||0)+Ie.bearingDelta),Ie.pitchDelta&&(z.pitchDelta=(z.pitchDelta||0)+Ie.pitchDelta),Ie.around!==void 0&&(z.around=Ie.around),Ie.pinchAround!==void 0&&(z.pinchAround=Ie.pinchAround),Ie.noInertia&&(z.noInertia=Ie.noInertia),i.extend(K,$e),i.extend(O,pt)}this._updateMapTransform(z,K,O),this._changes=[]},yn.prototype._updateMapTransform=function(z,K,O){var $=this._map,pe=$.transform;if(!Bn(z))return this._fireEvents(K,O,!0);var de=z.panDelta,Ie=z.zoomDelta,$e=z.bearingDelta,pt=z.pitchDelta,Kt=z.around,ir=z.pinchAround;ir!==void 0&&(Kt=ir),$._stop(!0),Kt=Kt||$.transform.centerPoint;var Jt=pe.pointLocation(de?Kt.sub(de):Kt);$e&&(pe.bearing+=$e),pt&&(pe.pitch+=pt),Ie&&(pe.zoom+=Ie),pe.setLocationAtPoint(Jt,Kt),this._map._update(),z.noInertia||this._inertia.record(z),this._fireEvents(K,O,!0)},yn.prototype._fireEvents=function(z,K,O){var $=this,pe=cn(this._eventsInProgress),de=cn(z),Ie={};for(var $e in z){var pt=z[$e],Kt=pt.originalEvent;this._eventsInProgress[$e]||(Ie[$e+\"start\"]=Kt),this._eventsInProgress[$e]=z[$e]}!pe&&de&&this._fireEvent(\"movestart\",de.originalEvent);for(var ir in Ie)this._fireEvent(ir,Ie[ir]);de&&this._fireEvent(\"move\",de.originalEvent);for(var Jt in z){var vt=z[Jt],Pt=vt.originalEvent;this._fireEvent(Jt,Pt)}var Wt={},rr;for(var dr in this._eventsInProgress){var pr=this._eventsInProgress[dr],kr=pr.handlerName,Ar=pr.originalEvent;this._handlersById[kr].isActive()||(delete this._eventsInProgress[dr],rr=K[kr]||Ar,Wt[dr+\"end\"]=rr)}for(var gr in Wt)this._fireEvent(gr,Wt[gr]);var Cr=cn(this._eventsInProgress);if(O&&(pe||de)&&!Cr){this._updatingCamera=!0;var cr=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),Gr=function(ei){return ei!==0&&-$._bearingSnap<ei&&ei<$._bearingSnap};cr?(Gr(cr.bearing||this._map.getBearing())&&(cr.bearing=0),this._map.easeTo(cr,{originalEvent:rr})):(this._map.fire(new i.Event(\"moveend\",{originalEvent:rr})),Gr(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},yn.prototype._fireEvent=function(z,K){this._map.fire(new i.Event(z,K?{originalEvent:K}:{}))},yn.prototype._requestFrame=function(){var z=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add(function(K){delete z._frameId,z.handleEvent(new On(\"renderFrame\",{timeStamp:K})),z._applyChanges()})},yn.prototype._triggerRenderFrame=function(){this._frameId===void 0&&(this._frameId=this._requestFrame())};var to=function(Y){function z(K,O){Y.call(this),this._moving=!1,this._zooming=!1,this.transform=K,this._bearingSnap=O.bearingSnap,i.bindAll([\"_renderFrameCallback\"],this)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.getCenter=function(){return new i.LngLat(this.transform.center.lng,this.transform.center.lat)},z.prototype.setCenter=function(O,$){return this.jumpTo({center:O},$)},z.prototype.panBy=function(O,$,pe){return O=i.Point.convert(O).mult(-1),this.panTo(this.transform.center,i.extend({offset:O},$),pe)},z.prototype.panTo=function(O,$,pe){return this.easeTo(i.extend({center:O},$),pe)},z.prototype.getZoom=function(){return this.transform.zoom},z.prototype.setZoom=function(O,$){return this.jumpTo({zoom:O},$),this},z.prototype.zoomTo=function(O,$,pe){return this.easeTo(i.extend({zoom:O},$),pe)},z.prototype.zoomIn=function(O,$){return this.zoomTo(this.getZoom()+1,O,$),this},z.prototype.zoomOut=function(O,$){return this.zoomTo(this.getZoom()-1,O,$),this},z.prototype.getBearing=function(){return this.transform.bearing},z.prototype.setBearing=function(O,$){return this.jumpTo({bearing:O},$),this},z.prototype.getPadding=function(){return this.transform.padding},z.prototype.setPadding=function(O,$){return this.jumpTo({padding:O},$),this},z.prototype.rotateTo=function(O,$,pe){return this.easeTo(i.extend({bearing:O},$),pe)},z.prototype.resetNorth=function(O,$){return this.rotateTo(0,i.extend({duration:1e3},O),$),this},z.prototype.resetNorthPitch=function(O,$){return this.easeTo(i.extend({bearing:0,pitch:0,duration:1e3},O),$),this},z.prototype.snapToNorth=function(O,$){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(O,$):this},z.prototype.getPitch=function(){return this.transform.pitch},z.prototype.setPitch=function(O,$){return this.jumpTo({pitch:O},$),this},z.prototype.cameraForBounds=function(O,$){O=i.LngLatBounds.convert(O);var pe=$&&$.bearing||0;return this._cameraForBoxAndBearing(O.getNorthWest(),O.getSouthEast(),pe,$)},z.prototype._cameraForBoxAndBearing=function(O,$,pe,de){var Ie={top:0,bottom:0,right:0,left:0};if(de=i.extend({padding:Ie,offset:[0,0],maxZoom:this.transform.maxZoom},de),typeof de.padding==\"number\"){var $e=de.padding;de.padding={top:$e,bottom:$e,right:$e,left:$e}}de.padding=i.extend(Ie,de.padding);var pt=this.transform,Kt=pt.padding,ir=pt.project(i.LngLat.convert(O)),Jt=pt.project(i.LngLat.convert($)),vt=ir.rotate(-pe*Math.PI/180),Pt=Jt.rotate(-pe*Math.PI/180),Wt=new i.Point(Math.max(vt.x,Pt.x),Math.max(vt.y,Pt.y)),rr=new i.Point(Math.min(vt.x,Pt.x),Math.min(vt.y,Pt.y)),dr=Wt.sub(rr),pr=(pt.width-(Kt.left+Kt.right+de.padding.left+de.padding.right))/dr.x,kr=(pt.height-(Kt.top+Kt.bottom+de.padding.top+de.padding.bottom))/dr.y;if(kr<0||pr<0){i.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");return}var Ar=Math.min(pt.scaleZoom(pt.scale*Math.min(pr,kr)),de.maxZoom),gr=typeof de.offset.x==\"number\"?new i.Point(de.offset.x,de.offset.y):i.Point.convert(de.offset),Cr=(de.padding.left-de.padding.right)/2,cr=(de.padding.top-de.padding.bottom)/2,Gr=new i.Point(Cr,cr),ei=Gr.rotate(pe*Math.PI/180),yi=gr.add(ei),tn=yi.mult(pt.scale/pt.zoomScale(Ar)),Ri=pt.unproject(ir.add(Jt).div(2).sub(tn));return{center:Ri,zoom:Ar,bearing:pe}},z.prototype.fitBounds=function(O,$,pe){return this._fitInternal(this.cameraForBounds(O,$),$,pe)},z.prototype.fitScreenCoordinates=function(O,$,pe,de,Ie){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(i.Point.convert(O)),this.transform.pointLocation(i.Point.convert($)),pe,de),de,Ie)},z.prototype._fitInternal=function(O,$,pe){return O?($=i.extend(O,$),delete $.padding,$.linear?this.easeTo($,pe):this.flyTo($,pe)):this},z.prototype.jumpTo=function(O,$){this.stop();var pe=this.transform,de=!1,Ie=!1,$e=!1;return\"zoom\"in O&&pe.zoom!==+O.zoom&&(de=!0,pe.zoom=+O.zoom),O.center!==void 0&&(pe.center=i.LngLat.convert(O.center)),\"bearing\"in O&&pe.bearing!==+O.bearing&&(Ie=!0,pe.bearing=+O.bearing),\"pitch\"in O&&pe.pitch!==+O.pitch&&($e=!0,pe.pitch=+O.pitch),O.padding!=null&&!pe.isPaddingEqual(O.padding)&&(pe.padding=O.padding),this.fire(new i.Event(\"movestart\",$)).fire(new i.Event(\"move\",$)),de&&this.fire(new i.Event(\"zoomstart\",$)).fire(new i.Event(\"zoom\",$)).fire(new i.Event(\"zoomend\",$)),Ie&&this.fire(new i.Event(\"rotatestart\",$)).fire(new i.Event(\"rotate\",$)).fire(new i.Event(\"rotateend\",$)),$e&&this.fire(new i.Event(\"pitchstart\",$)).fire(new i.Event(\"pitch\",$)).fire(new i.Event(\"pitchend\",$)),this.fire(new i.Event(\"moveend\",$))},z.prototype.easeTo=function(O,$){var pe=this;this._stop(!1,O.easeId),O=i.extend({offset:[0,0],duration:500,easing:i.ease},O),(O.animate===!1||!O.essential&&i.browser.prefersReducedMotion)&&(O.duration=0);var de=this.transform,Ie=this.getZoom(),$e=this.getBearing(),pt=this.getPitch(),Kt=this.getPadding(),ir=\"zoom\"in O?+O.zoom:Ie,Jt=\"bearing\"in O?this._normalizeBearing(O.bearing,$e):$e,vt=\"pitch\"in O?+O.pitch:pt,Pt=\"padding\"in O?O.padding:de.padding,Wt=i.Point.convert(O.offset),rr=de.centerPoint.add(Wt),dr=de.pointLocation(rr),pr=i.LngLat.convert(O.center||dr);this._normalizeCenter(pr);var kr=de.project(dr),Ar=de.project(pr).sub(kr),gr=de.zoomScale(ir-Ie),Cr,cr;O.around&&(Cr=i.LngLat.convert(O.around),cr=de.locationPoint(Cr));var Gr={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||ir!==Ie,this._rotating=this._rotating||$e!==Jt,this._pitching=this._pitching||vt!==pt,this._padding=!de.isPaddingEqual(Pt),this._easeId=O.easeId,this._prepareEase($,O.noMoveStart,Gr),this._ease(function(ei){if(pe._zooming&&(de.zoom=i.number(Ie,ir,ei)),pe._rotating&&(de.bearing=i.number($e,Jt,ei)),pe._pitching&&(de.pitch=i.number(pt,vt,ei)),pe._padding&&(de.interpolatePadding(Kt,Pt,ei),rr=de.centerPoint.add(Wt)),Cr)de.setLocationAtPoint(Cr,cr);else{var yi=de.zoomScale(de.zoom-Ie),tn=ir>Ie?Math.min(2,gr):Math.max(.5,gr),Ri=Math.pow(tn,1-ei),ln=de.unproject(kr.add(Ar.mult(ei*Ri)).mult(yi));de.setLocationAtPoint(de.renderWorldCopies?ln.wrap():ln,rr)}pe._fireMoveEvents($)},function(ei){pe._afterEase($,ei)},O),this},z.prototype._prepareEase=function(O,$,pe){pe===void 0&&(pe={}),this._moving=!0,!$&&!pe.moving&&this.fire(new i.Event(\"movestart\",O)),this._zooming&&!pe.zooming&&this.fire(new i.Event(\"zoomstart\",O)),this._rotating&&!pe.rotating&&this.fire(new i.Event(\"rotatestart\",O)),this._pitching&&!pe.pitching&&this.fire(new i.Event(\"pitchstart\",O))},z.prototype._fireMoveEvents=function(O){this.fire(new i.Event(\"move\",O)),this._zooming&&this.fire(new i.Event(\"zoom\",O)),this._rotating&&this.fire(new i.Event(\"rotate\",O)),this._pitching&&this.fire(new i.Event(\"pitch\",O))},z.prototype._afterEase=function(O,$){if(!(this._easeId&&$&&this._easeId===$)){delete this._easeId;var pe=this._zooming,de=this._rotating,Ie=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,pe&&this.fire(new i.Event(\"zoomend\",O)),de&&this.fire(new i.Event(\"rotateend\",O)),Ie&&this.fire(new i.Event(\"pitchend\",O)),this.fire(new i.Event(\"moveend\",O))}},z.prototype.flyTo=function(O,$){var pe=this;if(!O.essential&&i.browser.prefersReducedMotion){var de=i.pick(O,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(de,$)}this.stop(),O=i.extend({offset:[0,0],speed:1.2,curve:1.42,easing:i.ease},O);var Ie=this.transform,$e=this.getZoom(),pt=this.getBearing(),Kt=this.getPitch(),ir=this.getPadding(),Jt=\"zoom\"in O?i.clamp(+O.zoom,Ie.minZoom,Ie.maxZoom):$e,vt=\"bearing\"in O?this._normalizeBearing(O.bearing,pt):pt,Pt=\"pitch\"in O?+O.pitch:Kt,Wt=\"padding\"in O?O.padding:Ie.padding,rr=Ie.zoomScale(Jt-$e),dr=i.Point.convert(O.offset),pr=Ie.centerPoint.add(dr),kr=Ie.pointLocation(pr),Ar=i.LngLat.convert(O.center||kr);this._normalizeCenter(Ar);var gr=Ie.project(kr),Cr=Ie.project(Ar).sub(gr),cr=O.curve,Gr=Math.max(Ie.width,Ie.height),ei=Gr/rr,yi=Cr.mag();if(\"minZoom\"in O){var tn=i.clamp(Math.min(O.minZoom,$e,Jt),Ie.minZoom,Ie.maxZoom),Ri=Gr/Ie.zoomScale(tn-$e);cr=Math.sqrt(Ri/yi*2)}var ln=cr*cr;function Qn(fo){var as=(ei*ei-Gr*Gr+(fo?-1:1)*ln*ln*yi*yi)/(2*(fo?ei:Gr)*ln*yi);return Math.log(Math.sqrt(as*as+1)-as)}function qn(fo){return(Math.exp(fo)-Math.exp(-fo))/2}function rn(fo){return(Math.exp(fo)+Math.exp(-fo))/2}function bn(fo){return qn(fo)/rn(fo)}var mn=Qn(0),Gn=function(fo){return rn(mn)/rn(mn+cr*fo)},da=function(fo){return Gr*((rn(mn)*bn(mn+cr*fo)-qn(mn))/ln)/yi},No=(Qn(1)-mn)/cr;if(Math.abs(yi)<1e-6||!isFinite(No)){if(Math.abs(Gr-ei)<1e-6)return this.easeTo(O,$);var Do=ei<Gr?-1:1;No=Math.abs(Math.log(ei/Gr))/cr,da=function(){return 0},Gn=function(fo){return Math.exp(Do*cr*fo)}}if(\"duration\"in O)O.duration=+O.duration;else{var ps=\"screenSpeed\"in O?+O.screenSpeed/cr:+O.speed;O.duration=1e3*No/ps}return O.maxDuration&&O.duration>O.maxDuration&&(O.duration=0),this._zooming=!0,this._rotating=pt!==vt,this._pitching=Pt!==Kt,this._padding=!Ie.isPaddingEqual(Wt),this._prepareEase($,!1),this._ease(function(fo){var as=fo*No,tl=1/Gn(as);Ie.zoom=fo===1?Jt:$e+Ie.scaleZoom(tl),pe._rotating&&(Ie.bearing=i.number(pt,vt,fo)),pe._pitching&&(Ie.pitch=i.number(Kt,Pt,fo)),pe._padding&&(Ie.interpolatePadding(ir,Wt,fo),pr=Ie.centerPoint.add(dr));var zu=fo===1?Ar:Ie.unproject(gr.add(Cr.mult(da(as))).mult(tl));Ie.setLocationAtPoint(Ie.renderWorldCopies?zu.wrap():zu,pr),pe._fireMoveEvents($)},function(){return pe._afterEase($)},O),this},z.prototype.isEasing=function(){return!!this._easeFrameId},z.prototype.stop=function(){return this._stop()},z.prototype._stop=function(O,$){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var pe=this._onEaseEnd;delete this._onEaseEnd,pe.call(this,$)}if(!O){var de=this.handlers;de&&de.stop(!1)}return this},z.prototype._ease=function(O,$,pe){pe.animate===!1||pe.duration===0?(O(1),$()):(this._easeStart=i.browser.now(),this._easeOptions=pe,this._onEaseFrame=O,this._onEaseEnd=$,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},z.prototype._renderFrameCallback=function(){var O=Math.min((i.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(O)),O<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},z.prototype._normalizeBearing=function(O,$){O=i.wrap(O,-180,180);var pe=Math.abs(O-$);return Math.abs(O-360-$)<pe&&(O-=360),Math.abs(O+360-$)<pe&&(O+=360),O},z.prototype._normalizeCenter=function(O){var $=this.transform;if(!(!$.renderWorldCopies||$.lngRange)){var pe=O.lng-$.center.lng;O.lng+=pe>180?-360:pe<-180?360:0}},z}(i.Evented),Rn=function(z){z===void 0&&(z={}),this.options=z,i.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Rn.prototype.getDefaultPosition=function(){return\"bottom-right\"},Rn.prototype.onAdd=function(z){var K=this.options&&this.options.compact;return this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=o.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),K&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),K===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Rn.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Rn.prototype._setElementTitle=function(z,K){var O=this._map._getUIString(\"AttributionControl.\"+K);z.title=O,z.setAttribute(\"aria-label\",O)},Rn.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Rn.prototype._updateEditLink=function(){var z=this._editLink;z||(z=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var K=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||i.config.ACCESS_TOKEN}];if(z){var O=K.reduce(function($,pe,de){return pe.value&&($+=pe.key+\"=\"+pe.value+(de<K.length-1?\"&\":\"\")),$},\"?\");z.href=i.config.FEEDBACK_URL+\"/\"+O+(this._map._hash?this._map._hash.getHashString(!0):\"\"),z.rel=\"noopener nofollow\",this._setElementTitle(z,\"MapFeedback\")}},Rn.prototype._updateData=function(z){z&&(z.sourceDataType===\"metadata\"||z.sourceDataType===\"visibility\"||z.dataType===\"style\")&&(this._updateAttributions(),this._updateEditLink())},Rn.prototype._updateAttributions=function(){if(this._map.style){var z=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?z=z.concat(this.options.customAttribution.map(function($e){return typeof $e!=\"string\"?\"\":$e})):typeof this.options.customAttribution==\"string\"&&z.push(this.options.customAttribution)),this._map.style.stylesheet){var K=this._map.style.stylesheet;this.styleOwner=K.owner,this.styleId=K.id}var O=this._map.style.sourceCaches;for(var $ in O){var pe=O[$];if(pe.used){var de=pe.getSource();de.attribution&&z.indexOf(de.attribution)<0&&z.push(de.attribution)}}z.sort(function($e,pt){return $e.length-pt.length}),z=z.filter(function($e,pt){for(var Kt=pt+1;Kt<z.length;Kt++)if(z[Kt].indexOf($e)>=0)return!1;return!0});var Ie=z.join(\" | \");Ie!==this._attribHTML&&(this._attribHTML=Ie,z.length?(this._innerContainer.innerHTML=Ie,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Rn.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Dn=function(){i.bindAll([\"_updateLogo\"],this),i.bindAll([\"_updateCompact\"],this)};Dn.prototype.onAdd=function(z){this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl\");var K=o.create(\"a\",\"mapboxgl-ctrl-logo\");return K.target=\"_blank\",K.rel=\"noopener nofollow\",K.href=\"https://www.mapbox.com/\",K.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),K.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(K),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Dn.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Dn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Dn.prototype._updateLogo=function(z){(!z||z.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Dn.prototype._logoRequired=function(){if(this._map.style){var z=this._map.style.sourceCaches;for(var K in z){var O=z[K].getSource();if(O.mapbox_logo)return!0}return!1}},Dn.prototype._updateCompact=function(){var z=this._container.children;if(z.length){var K=z[0];this._map.getCanvasContainer().offsetWidth<250?K.classList.add(\"mapboxgl-compact\"):K.classList.remove(\"mapboxgl-compact\")}};var fn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};fn.prototype.add=function(z){var K=++this._id,O=this._queue;return O.push({callback:z,id:K,cancelled:!1}),K},fn.prototype.remove=function(z){for(var K=this._currentlyRunning,O=K?this._queue.concat(K):this._queue,$=0,pe=O;$<pe.length;$+=1){var de=pe[$];if(de.id===z){de.cancelled=!0;return}}},fn.prototype.run=function(z){z===void 0&&(z=0);var K=this._currentlyRunning=this._queue;this._queue=[];for(var O=0,$=K;O<$.length;O+=1){var pe=$[O];if(!pe.cancelled&&(pe.callback(z),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},fn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ai={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ji=i.window.HTMLImageElement,Ln=i.window.HTMLElement,Un=i.window.ImageBitmap,gn=-2,ca=22,Kn=0,Za=60,wn={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:gn,maxZoom:ca,minPitch:Kn,maxPitch:Za,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},vn=function(Y){function z(O){var $=this;if(O=i.extend({},wn,O),O.minZoom!=null&&O.maxZoom!=null&&O.minZoom>O.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(O.minPitch!=null&&O.maxPitch!=null&&O.minPitch>O.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(O.minPitch!=null&&O.minPitch<Kn)throw new Error(\"minPitch must be greater than or equal to \"+Kn);if(O.maxPitch!=null&&O.maxPitch>Za)throw new Error(\"maxPitch must be less than or equal to \"+Za);var pe=new yo(O.minZoom,O.maxZoom,O.minPitch,O.maxPitch,O.renderWorldCopies);if(Y.call(this,pe,O),this._interactive=O.interactive,this._maxTileCacheSize=O.maxTileCacheSize,this._failIfMajorPerformanceCaveat=O.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=O.preserveDrawingBuffer,this._antialias=O.antialias,this._trackResize=O.trackResize,this._bearingSnap=O.bearingSnap,this._refreshExpiredTiles=O.refreshExpiredTiles,this._fadeDuration=O.fadeDuration,this._crossSourceCollisions=O.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=O.collectResourceTiming,this._renderTaskQueue=new fn,this._controls=[],this._mapId=i.uniqueId(),this._locale=i.extend({},Ai,O.locale),this._clickTolerance=O.clickTolerance,this._requestManager=new i.RequestManager(O.transformRequest,O.accessToken),typeof O.container==\"string\"){if(this._container=i.window.document.getElementById(O.container),!this._container)throw new Error(\"Container '\"+O.container+\"' not found.\")}else if(O.container instanceof Ln)this._container=O.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(O.maxBounds&&this.setMaxBounds(O.maxBounds),i.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return $._update(!1)}),this.on(\"moveend\",function(){return $._update(!1)}),this.on(\"zoom\",function(){return $._update(!0)}),typeof i.window!=\"undefined\"&&(i.window.addEventListener(\"online\",this._onWindowOnline,!1),i.window.addEventListener(\"resize\",this._onWindowResize,!1),i.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new yn(this,O);var de=typeof O.hash==\"string\"&&O.hash||void 0;this._hash=O.hash&&new Vl(de).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:O.center,zoom:O.zoom,bearing:O.bearing,pitch:O.pitch}),O.bounds&&(this.resize(),this.fitBounds(O.bounds,i.extend({},O.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=O.localIdeographFontFamily,O.style&&this.setStyle(O.style,{localIdeographFontFamily:O.localIdeographFontFamily}),O.attributionControl&&this.addControl(new Rn({customAttribution:O.customAttribution})),this.addControl(new Dn,O.logoPosition),this.on(\"style.load\",function(){$.transform.unmodified&&$.jumpTo($.style.stylesheet)}),this.on(\"data\",function(Ie){$._update(Ie.dataType===\"style\"),$.fire(new i.Event(Ie.dataType+\"data\",Ie))}),this.on(\"dataloading\",function(Ie){$.fire(new i.Event(Ie.dataType+\"dataloading\",Ie))})}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return z.prototype._getMapId=function(){return this._mapId},z.prototype.addControl=function($,pe){if(pe===void 0&&($.getDefaultPosition?pe=$.getDefaultPosition():pe=\"top-right\"),!$||!$.onAdd)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var de=$.onAdd(this);this._controls.push($);var Ie=this._controlPositions[pe];return pe.indexOf(\"bottom\")!==-1?Ie.insertBefore(de,Ie.firstChild):Ie.appendChild(de),this},z.prototype.removeControl=function($){if(!$||!$.onRemove)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var pe=this._controls.indexOf($);return pe>-1&&this._controls.splice(pe,1),$.onRemove(this),this},z.prototype.hasControl=function($){return this._controls.indexOf($)>-1},z.prototype.resize=function($){var pe=this._containerDimensions(),de=pe[0],Ie=pe[1];this._resizeCanvas(de,Ie),this.transform.resize(de,Ie),this.painter.resize(de,Ie);var $e=!this._moving;return $e&&(this.stop(),this.fire(new i.Event(\"movestart\",$)).fire(new i.Event(\"move\",$))),this.fire(new i.Event(\"resize\",$)),$e&&this.fire(new i.Event(\"moveend\",$)),this},z.prototype.getBounds=function(){return this.transform.getBounds()},z.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},z.prototype.setMaxBounds=function($){return this.transform.setMaxBounds(i.LngLatBounds.convert($)),this._update()},z.prototype.setMinZoom=function($){if($=$==null?gn:$,$>=gn&&$<=this.transform.maxZoom)return this.transform.minZoom=$,this._update(),this.getZoom()<$&&this.setZoom($),this;throw new Error(\"minZoom must be between \"+gn+\" and the current maxZoom, inclusive\")},z.prototype.getMinZoom=function(){return this.transform.minZoom},z.prototype.setMaxZoom=function($){if($=$==null?ca:$,$>=this.transform.minZoom)return this.transform.maxZoom=$,this._update(),this.getZoom()>$&&this.setZoom($),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},z.prototype.getMaxZoom=function(){return this.transform.maxZoom},z.prototype.setMinPitch=function($){if($=$==null?Kn:$,$<Kn)throw new Error(\"minPitch must be greater than or equal to \"+Kn);if($>=Kn&&$<=this.transform.maxPitch)return this.transform.minPitch=$,this._update(),this.getPitch()<$&&this.setPitch($),this;throw new Error(\"minPitch must be between \"+Kn+\" and the current maxPitch, inclusive\")},z.prototype.getMinPitch=function(){return this.transform.minPitch},z.prototype.setMaxPitch=function($){if($=$==null?Za:$,$>Za)throw new Error(\"maxPitch must be less than or equal to \"+Za);if($>=this.transform.minPitch)return this.transform.maxPitch=$,this._update(),this.getPitch()>$&&this.setPitch($),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},z.prototype.getMaxPitch=function(){return this.transform.maxPitch},z.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},z.prototype.setRenderWorldCopies=function($){return this.transform.renderWorldCopies=$,this._update()},z.prototype.project=function($){return this.transform.locationPoint(i.LngLat.convert($))},z.prototype.unproject=function($){return this.transform.pointLocation(i.Point.convert($))},z.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},z.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},z.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},z.prototype._createDelegatedListener=function($,pe,de){var Ie=this,$e;if($===\"mouseenter\"||$===\"mouseover\"){var pt=!1,Kt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length?pt||(pt=!0,de.call(Ie,new oe($,Ie,rr.originalEvent,{features:dr}))):pt=!1},ir=function(){pt=!1};return{layer:pe,listener:de,delegates:{mousemove:Kt,mouseout:ir}}}else if($===\"mouseleave\"||$===\"mouseout\"){var Jt=!1,vt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length?Jt=!0:Jt&&(Jt=!1,de.call(Ie,new oe($,Ie,rr.originalEvent)))},Pt=function(rr){Jt&&(Jt=!1,de.call(Ie,new oe($,Ie,rr.originalEvent)))};return{layer:pe,listener:de,delegates:{mousemove:vt,mouseout:Pt}}}else{var Wt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length&&(rr.features=dr,de.call(Ie,rr),delete rr.features)};return{layer:pe,listener:de,delegates:($e={},$e[$]=Wt,$e)}}},z.prototype.on=function($,pe,de){if(de===void 0)return Y.prototype.on.call(this,$,pe);var Ie=this._createDelegatedListener($,pe,de);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[$]=this._delegatedListeners[$]||[],this._delegatedListeners[$].push(Ie);for(var $e in Ie.delegates)this.on($e,Ie.delegates[$e]);return this},z.prototype.once=function($,pe,de){if(de===void 0)return Y.prototype.once.call(this,$,pe);var Ie=this._createDelegatedListener($,pe,de);for(var $e in Ie.delegates)this.once($e,Ie.delegates[$e]);return this},z.prototype.off=function($,pe,de){var Ie=this;if(de===void 0)return Y.prototype.off.call(this,$,pe);var $e=function(pt){for(var Kt=pt[$],ir=0;ir<Kt.length;ir++){var Jt=Kt[ir];if(Jt.layer===pe&&Jt.listener===de){for(var vt in Jt.delegates)Ie.off(vt,Jt.delegates[vt]);return Kt.splice(ir,1),Ie}}};return this._delegatedListeners&&this._delegatedListeners[$]&&$e(this._delegatedListeners),this},z.prototype.queryRenderedFeatures=function($,pe){if(!this.style)return[];pe===void 0&&$!==void 0&&!($ instanceof i.Point)&&!Array.isArray($)&&(pe=$,$=void 0),pe=pe||{},$=$||[[0,0],[this.transform.width,this.transform.height]];var de;if($ instanceof i.Point||typeof $[0]==\"number\")de=[i.Point.convert($)];else{var Ie=i.Point.convert($[0]),$e=i.Point.convert($[1]);de=[Ie,new i.Point($e.x,Ie.y),$e,new i.Point(Ie.x,$e.y),Ie]}return this.style.queryRenderedFeatures(de,pe,this.transform)},z.prototype.querySourceFeatures=function($,pe){return this.style.querySourceFeatures($,pe)},z.prototype.setStyle=function($,pe){return pe=i.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},pe),pe.diff!==!1&&pe.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&$?(this._diffStyle($,pe),this):(this._localIdeographFontFamily=pe.localIdeographFontFamily,this._updateStyle($,pe))},z.prototype._getUIString=function($){var pe=this._locale[$];if(pe==null)throw new Error(\"Missing UI string '\"+$+\"'\");return pe},z.prototype._updateStyle=function($,pe){if(this.style&&(this.style.setEventedParent(null),this.style._remove()),$)this.style=new mu(this,pe||{});else return delete this.style,this;return this.style.setEventedParent(this,{style:this.style}),typeof $==\"string\"?this.style.loadURL($):this.style.loadJSON($),this},z.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new mu(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},z.prototype._diffStyle=function($,pe){var de=this;if(typeof $==\"string\"){var Ie=this._requestManager.normalizeStyleURL($),$e=this._requestManager.transformRequest(Ie,i.ResourceType.Style);i.getJSON($e,function(pt,Kt){pt?de.fire(new i.ErrorEvent(pt)):Kt&&de._updateDiff(Kt,pe)})}else typeof $==\"object\"&&this._updateDiff($,pe)},z.prototype._updateDiff=function($,pe){try{this.style.setState($)&&this._update(!0)}catch(de){i.warnOnce(\"Unable to perform style diff: \"+(de.message||de.error||de)+\".  Rebuilding the style from scratch.\"),this._updateStyle($,pe)}},z.prototype.getStyle=function(){if(this.style)return this.style.serialize()},z.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():i.warnOnce(\"There is no style added to the map.\")},z.prototype.addSource=function($,pe){return this._lazyInitEmptyStyle(),this.style.addSource($,pe),this._update(!0)},z.prototype.isSourceLoaded=function($){var pe=this.style&&this.style.sourceCaches[$];if(pe===void 0){this.fire(new i.ErrorEvent(new Error(\"There is no source with ID '\"+$+\"'\")));return}return pe.loaded()},z.prototype.areTilesLoaded=function(){var $=this.style&&this.style.sourceCaches;for(var pe in $){var de=$[pe],Ie=de._tiles;for(var $e in Ie){var pt=Ie[$e];if(!(pt.state===\"loaded\"||pt.state===\"errored\"))return!1}}return!0},z.prototype.addSourceType=function($,pe,de){return this._lazyInitEmptyStyle(),this.style.addSourceType($,pe,de)},z.prototype.removeSource=function($){return this.style.removeSource($),this._update(!0)},z.prototype.getSource=function($){return this.style.getSource($)},z.prototype.addImage=function($,pe,de){de===void 0&&(de={});var Ie=de.pixelRatio;Ie===void 0&&(Ie=1);var $e=de.sdf;$e===void 0&&($e=!1);var pt=de.stretchX,Kt=de.stretchY,ir=de.content;this._lazyInitEmptyStyle();var Jt=0;if(pe instanceof ji||Un&&pe instanceof Un){var vt=i.browser.getImageData(pe),Pt=vt.width,Wt=vt.height,rr=vt.data;this.style.addImage($,{data:new i.RGBAImage({width:Pt,height:Wt},rr),pixelRatio:Ie,stretchX:pt,stretchY:Kt,content:ir,sdf:$e,version:Jt})}else{if(pe.width===void 0||pe.height===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var dr=pe.width,pr=pe.height,kr=pe.data,Ar=pe;this.style.addImage($,{data:new i.RGBAImage({width:dr,height:pr},new Uint8Array(kr)),pixelRatio:Ie,stretchX:pt,stretchY:Kt,content:ir,sdf:$e,version:Jt,userImage:Ar}),Ar.onAdd&&Ar.onAdd(this,$)}},z.prototype.updateImage=function($,pe){var de=this.style.getImage($);if(!de)return this.fire(new i.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var Ie=pe instanceof ji||Un&&pe instanceof Un?i.browser.getImageData(pe):pe,$e=Ie.width,pt=Ie.height,Kt=Ie.data;if($e===void 0||pt===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if($e!==de.data.width||pt!==de.data.height)return this.fire(new i.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var ir=!(pe instanceof ji||Un&&pe instanceof Un);de.data.replace(Kt,ir),this.style.updateImage($,de)},z.prototype.hasImage=function($){return $?!!this.style.getImage($):(this.fire(new i.ErrorEvent(new Error(\"Missing required image id\"))),!1)},z.prototype.removeImage=function($){this.style.removeImage($)},z.prototype.loadImage=function($,pe){i.getImage(this._requestManager.transformRequest($,i.ResourceType.Image),pe)},z.prototype.listImages=function(){return this.style.listImages()},z.prototype.addLayer=function($,pe){return this._lazyInitEmptyStyle(),this.style.addLayer($,pe),this._update(!0)},z.prototype.moveLayer=function($,pe){return this.style.moveLayer($,pe),this._update(!0)},z.prototype.removeLayer=function($){return this.style.removeLayer($),this._update(!0)},z.prototype.getLayer=function($){return this.style.getLayer($)},z.prototype.setLayerZoomRange=function($,pe,de){return this.style.setLayerZoomRange($,pe,de),this._update(!0)},z.prototype.setFilter=function($,pe,de){return de===void 0&&(de={}),this.style.setFilter($,pe,de),this._update(!0)},z.prototype.getFilter=function($){return this.style.getFilter($)},z.prototype.setPaintProperty=function($,pe,de,Ie){return Ie===void 0&&(Ie={}),this.style.setPaintProperty($,pe,de,Ie),this._update(!0)},z.prototype.getPaintProperty=function($,pe){return this.style.getPaintProperty($,pe)},z.prototype.setLayoutProperty=function($,pe,de,Ie){return Ie===void 0&&(Ie={}),this.style.setLayoutProperty($,pe,de,Ie),this._update(!0)},z.prototype.getLayoutProperty=function($,pe){return this.style.getLayoutProperty($,pe)},z.prototype.setLight=function($,pe){return pe===void 0&&(pe={}),this._lazyInitEmptyStyle(),this.style.setLight($,pe),this._update(!0)},z.prototype.getLight=function(){return this.style.getLight()},z.prototype.setFeatureState=function($,pe){return this.style.setFeatureState($,pe),this._update()},z.prototype.removeFeatureState=function($,pe){return this.style.removeFeatureState($,pe),this._update()},z.prototype.getFeatureState=function($){return this.style.getFeatureState($)},z.prototype.getContainer=function(){return this._container},z.prototype.getCanvasContainer=function(){return this._canvasContainer},z.prototype.getCanvas=function(){return this._canvas},z.prototype._containerDimensions=function(){var $=0,pe=0;return this._container&&($=this._container.clientWidth||400,pe=this._container.clientHeight||300),[$,pe]},z.prototype._detectMissingCSS=function(){var $=i.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\");$!==\"rgb(250, 128, 114)\"&&i.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},z.prototype._setupContainer=function(){var $=this._container;$.classList.add(\"mapboxgl-map\");var pe=this._missingCSSCanary=o.create(\"div\",\"mapboxgl-canary\",$);pe.style.visibility=\"hidden\",this._detectMissingCSS();var de=this._canvasContainer=o.create(\"div\",\"mapboxgl-canvas-container\",$);this._interactive&&de.classList.add(\"mapboxgl-interactive\"),this._canvas=o.create(\"canvas\",\"mapboxgl-canvas\",de),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var Ie=this._containerDimensions();this._resizeCanvas(Ie[0],Ie[1]);var $e=this._controlContainer=o.create(\"div\",\"mapboxgl-control-container\",$),pt=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(Kt){pt[Kt]=o.create(\"div\",\"mapboxgl-ctrl-\"+Kt,$e)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},z.prototype._resizeCanvas=function($,pe){var de=i.browser.devicePixelRatio||1;this._canvas.width=de*$,this._canvas.height=de*pe,this._canvas.style.width=$+\"px\",this._canvas.style.height=pe+\"px\"},z.prototype._setupPainter=function(){var $=i.extend({},a.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),pe=this._canvas.getContext(\"webgl\",$)||this._canvas.getContext(\"experimental-webgl\",$);if(!pe){this.fire(new i.ErrorEvent(new Error(\"Failed to initialize WebGL\")));return}this.painter=new co(pe,this.transform),i.webpSupported.testSupport(pe)},z.prototype._contextLost=function($){$.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new i.Event(\"webglcontextlost\",{originalEvent:$}))},z.prototype._contextRestored=function($){this._setupPainter(),this.resize(),this._update(),this.fire(new i.Event(\"webglcontextrestored\",{originalEvent:$}))},z.prototype._onMapScroll=function($){if($.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},z.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},z.prototype._update=function($){return this.style?(this._styleDirty=this._styleDirty||$,this._sourcesDirty=!0,this.triggerRepaint(),this):this},z.prototype._requestRenderFrame=function($){return this._update(),this._renderTaskQueue.add($)},z.prototype._cancelRenderFrame=function($){this._renderTaskQueue.remove($)},z.prototype._render=function($){var pe=this,de,Ie=0,$e=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(de=$e.createQueryEXT(),$e.beginQueryEXT($e.TIME_ELAPSED_EXT,de),Ie=i.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run($),!this._removed){var pt=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var Kt=this.transform.zoom,ir=i.browser.now();this.style.zoomHistory.update(Kt,ir);var Jt=new i.EvaluationParameters(Kt,{now:ir,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),vt=Jt.crossFadingFactor();(vt!==1||vt!==this._crossFadingFactor)&&(pt=!0,this._crossFadingFactor=vt),this.style.update(Jt)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new i.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new i.Event(\"load\"))),this.style&&(this.style.hasTransitions()||pt)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var Pt=i.browser.now()-Ie;$e.endQueryEXT($e.TIME_ELAPSED_EXT,de),setTimeout(function(){var dr=$e.getQueryObjectEXT(de,$e.QUERY_RESULT_EXT)/1e6;$e.deleteQueryEXT(de),pe.fire(new i.Event(\"gpu-timing-frame\",{cpuTime:Pt,gpuTime:dr}))},50)}if(this.listens(\"gpu-timing-layer\")){var Wt=this.painter.collectGpuTimers();setTimeout(function(){var dr=pe.painter.queryGpuTimers(Wt);pe.fire(new i.Event(\"gpu-timing-layer\",{layerTimes:dr}))},50)}var rr=this._sourcesDirty||this._styleDirty||this._placementDirty;return rr||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new i.Event(\"idle\")),this._loaded&&!this._fullyLoaded&&!rr&&(this._fullyLoaded=!0),this}},z.prototype.remove=function(){this._hash&&this._hash.remove();for(var $=0,pe=this._controls;$<pe.length;$+=1){var de=pe[$];de.onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof i.window!=\"undefined\"&&(i.window.removeEventListener(\"resize\",this._onWindowResize,!1),i.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),i.window.removeEventListener(\"online\",this._onWindowOnline,!1));var Ie=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");Ie&&Ie.loseContext&&Ie.loseContext(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new i.Event(\"remove\"))},z.prototype.triggerRepaint=function(){var $=this;this.style&&!this._frame&&(this._frame=i.browser.frame(function(pe){$._frame=null,$._render(pe)}))},z.prototype._onWindowOnline=function(){this._update()},z.prototype._onWindowResize=function($){this._trackResize&&this.resize({originalEvent:$})._update()},K.showTileBoundaries.get=function(){return!!this._showTileBoundaries},K.showTileBoundaries.set=function(O){this._showTileBoundaries!==O&&(this._showTileBoundaries=O,this._update())},K.showPadding.get=function(){return!!this._showPadding},K.showPadding.set=function(O){this._showPadding!==O&&(this._showPadding=O,this._update())},K.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},K.showCollisionBoxes.set=function(O){this._showCollisionBoxes!==O&&(this._showCollisionBoxes=O,O?this.style._generateCollisionBoxes():this._update())},K.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},K.showOverdrawInspector.set=function(O){this._showOverdrawInspector!==O&&(this._showOverdrawInspector=O,this._update())},K.repaint.get=function(){return!!this._repaint},K.repaint.set=function(O){this._repaint!==O&&(this._repaint=O,this.triggerRepaint())},K.vertices.get=function(){return!!this._vertices},K.vertices.set=function(O){this._vertices=O,this._update()},z.prototype._setCacheLimits=function($,pe){i.setCacheLimits($,pe)},K.version.get=function(){return i.version},Object.defineProperties(z.prototype,K),z}(to);function Aa(Y){Y.parentNode&&Y.parentNode.removeChild(Y)}var aa={showCompass:!0,showZoom:!0,visualizePitch:!1},Xn=function(z){var K=this;this.options=i.extend({},aa,z),this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(O){return O.preventDefault()}),this.options.showZoom&&(i.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",function(O){return K._map.zoomIn({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",function(O){return K._map.zoomOut({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(i.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",function(O){K.options.visualizePitch?K._map.resetNorthPitch({},{originalEvent:O}):K._map.resetNorth({},{originalEvent:O})}),this._compassIcon=o.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Xn.prototype._updateZoomButtons=function(){var z=this._map.getZoom(),K=z===this._map.getMaxZoom(),O=z===this._map.getMinZoom();this._zoomInButton.disabled=K,this._zoomOutButton.disabled=O,this._zoomInButton.setAttribute(\"aria-disabled\",K.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",O.toString())},Xn.prototype._rotateCompassArrow=function(){var z=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=z},Xn.prototype.onAdd=function(z){return this._map=z,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Vn(this._map,this._compass,this.options.visualizePitch)),this._container},Xn.prototype.onRemove=function(){o.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Xn.prototype._createButton=function(z,K){var O=o.create(\"button\",z,this._container);return O.type=\"button\",O.addEventListener(\"click\",K),O},Xn.prototype._setButtonTitle=function(z,K){var O=this._map._getUIString(\"NavigationControl.\"+K);z.title=O,z.setAttribute(\"aria-label\",O)};var Vn=function(z,K,O){O===void 0&&(O=!1),this._clickTolerance=10,this.element=K,this.mouseRotate=new un({clickTolerance:z.dragRotate._mouseRotate._clickTolerance}),this.map=z,O&&(this.mousePitch=new dn({clickTolerance:z.dragRotate._mousePitch._clickTolerance})),i.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),o.addEventListener(K,\"mousedown\",this.mousedown),o.addEventListener(K,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(K,\"touchmove\",this.touchmove),o.addEventListener(K,\"touchend\",this.touchend),o.addEventListener(K,\"touchcancel\",this.reset)};Vn.prototype.down=function(z,K){this.mouseRotate.mousedown(z,K),this.mousePitch&&this.mousePitch.mousedown(z,K),o.disableDrag()},Vn.prototype.move=function(z,K){var O=this.map,$=this.mouseRotate.mousemoveWindow(z,K);if($&&$.bearingDelta&&O.setBearing(O.getBearing()+$.bearingDelta),this.mousePitch){var pe=this.mousePitch.mousemoveWindow(z,K);pe&&pe.pitchDelta&&O.setPitch(O.getPitch()+pe.pitchDelta)}},Vn.prototype.off=function(){var z=this.element;o.removeEventListener(z,\"mousedown\",this.mousedown),o.removeEventListener(z,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(z,\"touchmove\",this.touchmove),o.removeEventListener(z,\"touchend\",this.touchend),o.removeEventListener(z,\"touchcancel\",this.reset),this.offTemp()},Vn.prototype.offTemp=function(){o.enableDrag(),o.removeEventListener(i.window,\"mousemove\",this.mousemove),o.removeEventListener(i.window,\"mouseup\",this.mouseup)},Vn.prototype.mousedown=function(z){this.down(i.extend({},z,{ctrlKey:!0,preventDefault:function(){return z.preventDefault()}}),o.mousePos(this.element,z)),o.addEventListener(i.window,\"mousemove\",this.mousemove),o.addEventListener(i.window,\"mouseup\",this.mouseup)},Vn.prototype.mousemove=function(z){this.move(z,o.mousePos(this.element,z))},Vn.prototype.mouseup=function(z){this.mouseRotate.mouseupWindow(z),this.mousePitch&&this.mousePitch.mouseupWindow(z),this.offTemp()},Vn.prototype.touchstart=function(z){z.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,z.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return z.preventDefault()}},this._startPos))},Vn.prototype.touchmove=function(z){z.targetTouches.length!==1?this.reset():(this._lastPos=o.touchPos(this.element,z.targetTouches)[0],this.move({preventDefault:function(){return z.preventDefault()}},this._lastPos))},Vn.prototype.touchend=function(z){z.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Vn.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};function ma(Y,z,K){if(Y=new i.LngLat(Y.lng,Y.lat),z){var O=new i.LngLat(Y.lng-360,Y.lat),$=new i.LngLat(Y.lng+360,Y.lat),pe=K.locationPoint(Y).distSqr(z);K.locationPoint(O).distSqr(z)<pe?Y=O:K.locationPoint($).distSqr(z)<pe&&(Y=$)}for(;Math.abs(Y.lng-K.center.lng)>180;){var de=K.locationPoint(Y);if(de.x>=0&&de.y>=0&&de.x<=K.width&&de.y<=K.height)break;Y.lng>K.center.lng?Y.lng-=360:Y.lng+=360}return Y}var ro={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ao(Y,z,K){var O=Y.classList;for(var $ in ro)O.remove(\"mapboxgl-\"+K+\"-anchor-\"+$);O.add(\"mapboxgl-\"+K+\"-anchor-\"+z)}var Jn=function(Y){function z(K,O){if(Y.call(this),(K instanceof i.window.HTMLElement||O)&&(K=i.extend({element:K},O)),i.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=K&&K.anchor||\"center\",this._color=K&&K.color||\"#3FB1CE\",this._scale=K&&K.scale||1,this._draggable=K&&K.draggable||!1,this._clickTolerance=K&&K.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=K&&K.rotation||0,this._rotationAlignment=K&&K.rotationAlignment||\"auto\",this._pitchAlignment=K&&K.pitchAlignment&&K.pitchAlignment!==\"auto\"?K.pitchAlignment:this._rotationAlignment,!K||!K.element){this._defaultMarker=!0,this._element=o.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var $=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),pe=41,de=27;$.setAttributeNS(null,\"display\",\"block\"),$.setAttributeNS(null,\"height\",pe+\"px\"),$.setAttributeNS(null,\"width\",de+\"px\"),$.setAttributeNS(null,\"viewBox\",\"0 0 \"+de+\" \"+pe);var Ie=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ie.setAttributeNS(null,\"stroke\",\"none\"),Ie.setAttributeNS(null,\"stroke-width\",\"1\"),Ie.setAttributeNS(null,\"fill\",\"none\"),Ie.setAttributeNS(null,\"fill-rule\",\"evenodd\");var $e=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");$e.setAttributeNS(null,\"fill-rule\",\"nonzero\");var pt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");pt.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),pt.setAttributeNS(null,\"fill\",\"#000000\");for(var Kt=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}],ir=0,Jt=Kt;ir<Jt.length;ir+=1){var vt=Jt[ir],Pt=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Pt.setAttributeNS(null,\"opacity\",\"0.04\"),Pt.setAttributeNS(null,\"cx\",\"10.5\"),Pt.setAttributeNS(null,\"cy\",\"5.80029008\"),Pt.setAttributeNS(null,\"rx\",vt.rx),Pt.setAttributeNS(null,\"ry\",vt.ry),pt.appendChild(Pt)}var Wt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Wt.setAttributeNS(null,\"fill\",this._color);var rr=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");rr.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),Wt.appendChild(rr);var dr=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");dr.setAttributeNS(null,\"opacity\",\"0.25\"),dr.setAttributeNS(null,\"fill\",\"#000000\");var pr=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");pr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),dr.appendChild(pr);var kr=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");kr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),kr.setAttributeNS(null,\"fill\",\"#FFFFFF\");var Ar=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ar.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var gr=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");gr.setAttributeNS(null,\"fill\",\"#000000\"),gr.setAttributeNS(null,\"opacity\",\"0.25\"),gr.setAttributeNS(null,\"cx\",\"5.5\"),gr.setAttributeNS(null,\"cy\",\"5.5\"),gr.setAttributeNS(null,\"r\",\"5.4999962\");var Cr=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Cr.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Cr.setAttributeNS(null,\"cx\",\"5.5\"),Cr.setAttributeNS(null,\"cy\",\"5.5\"),Cr.setAttributeNS(null,\"r\",\"5.4999962\"),Ar.appendChild(gr),Ar.appendChild(Cr),$e.appendChild(pt),$e.appendChild(Wt),$e.appendChild(dr),$e.appendChild(kr),$e.appendChild(Ar),$.appendChild($e),$.setAttributeNS(null,\"height\",pe*this._scale+\"px\"),$.setAttributeNS(null,\"width\",de*this._scale+\"px\"),this._element.appendChild($),this._offset=i.Point.convert(K&&K.offset||[0,-14])}else this._element=K.element,this._offset=i.Point.convert(K&&K.offset||[0,0]);this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(cr){cr.preventDefault()}),this._element.addEventListener(\"mousedown\",function(cr){cr.preventDefault()}),Ao(this._element,this._anchor,\"marker\"),this._popup=null}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.addTo=function(O){return this.remove(),this._map=O,O.getCanvasContainer().appendChild(this._element),O.on(\"move\",this._update),O.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},z.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this},z.prototype.getLngLat=function(){return this._lngLat},z.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},z.prototype.getElement=function(){return this._element},z.prototype.setPopup=function(O){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),O){if(!(\"offset\"in O.options)){var $=38.1,pe=13.5,de=Math.sqrt(Math.pow(pe,2)/2);O.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-$],\"bottom-left\":[de,($-pe+de)*-1],\"bottom-right\":[-de,($-pe+de)*-1],left:[pe,($-pe)*-1],right:[-pe,($-pe)*-1]}:this._offset}this._popup=O,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},z.prototype._onKeyPress=function(O){var $=O.code,pe=O.charCode||O.keyCode;($===\"Space\"||$===\"Enter\"||pe===32||pe===13)&&this.togglePopup()},z.prototype._onMapClick=function(O){var $=O.originalEvent.target,pe=this._element;this._popup&&($===pe||pe.contains($))&&this.togglePopup()},z.prototype.getPopup=function(){return this._popup},z.prototype.togglePopup=function(){var O=this._popup;if(O)O.isOpen()?O.remove():O.addTo(this._map);else return this;return this},z.prototype._update=function(O){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ma(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var $=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?$=\"rotateZ(\"+this._rotation+\"deg)\":this._rotationAlignment===\"map\"&&($=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var pe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?pe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(pe=\"rotateX(\"+this._map.getPitch()+\"deg)\"),(!O||O.type===\"moveend\")&&(this._pos=this._pos.round()),o.setTransform(this._element,ro[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+pe+\" \"+$)}},z.prototype.getOffset=function(){return this._offset},z.prototype.setOffset=function(O){return this._offset=i.Point.convert(O),this._update(),this},z.prototype._onMove=function(O){if(!this._isDragging){var $=this._clickTolerance||this._map._clickTolerance;this._isDragging=O.point.dist(this._pointerdownPos)>=$}this._isDragging&&(this._pos=O.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new i.Event(\"dragstart\"))),this.fire(new i.Event(\"drag\")))},z.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new i.Event(\"dragend\")),this._state=\"inactive\"},z.prototype._addDragHandler=function(O){this._element.contains(O.originalEvent.target)&&(O.preventDefault(),this._positionDelta=O.point.sub(this._pos).add(this._offset),this._pointerdownPos=O.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},z.prototype.setDraggable=function(O){return this._draggable=!!O,this._map&&(O?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},z.prototype.isDraggable=function(){return this._draggable},z.prototype.setRotation=function(O){return this._rotation=O||0,this._update(),this},z.prototype.getRotation=function(){return this._rotation},z.prototype.setRotationAlignment=function(O){return this._rotationAlignment=O||\"auto\",this._update(),this},z.prototype.getRotationAlignment=function(){return this._rotationAlignment},z.prototype.setPitchAlignment=function(O){return this._pitchAlignment=O&&O!==\"auto\"?O:this._rotationAlignment,this._update(),this},z.prototype.getPitchAlignment=function(){return this._pitchAlignment},z}(i.Evented),Oa={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},_o;function Po(Y){_o!==void 0?Y(_o):i.window.navigator.permissions!==void 0?i.window.navigator.permissions.query({name:\"geolocation\"}).then(function(z){_o=z.state!==\"denied\",Y(_o)}):(_o=!!i.window.navigator.geolocation,Y(_o))}var Jo=0,Xl=!1,$c=function(Y){function z(K){Y.call(this),this.options=i.extend({},Oa,K),i.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.onAdd=function(O){return this._map=O,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),Po(this._setupUI),this._container},z.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Jo=0,Xl=!1},z.prototype._isOutOfMapMaxBounds=function(O){var $=this._map.getMaxBounds(),pe=O.coords;return $&&(pe.longitude<$.getWest()||pe.longitude>$.getEast()||pe.latitude<$.getSouth()||pe.latitude>$.getNorth())},z.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break}},z.prototype._onSuccess=function(O){if(this._map){if(this._isOutOfMapMaxBounds(O)){this._setErrorState(),this.fire(new i.Event(\"outofmaxbounds\",O)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=O,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(O),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(O),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"geolocate\",O)),this._finish()}},z.prototype._updateCamera=function(O){var $=new i.LngLat(O.coords.longitude,O.coords.latitude),pe=O.coords.accuracy,de=this._map.getBearing(),Ie=i.extend({bearing:de},this.options.fitBoundsOptions);this._map.fitBounds($.toBounds(pe),Ie,{geolocateSource:!0})},z.prototype._updateMarker=function(O){if(O){var $=new i.LngLat(O.coords.longitude,O.coords.latitude);this._accuracyCircleMarker.setLngLat($).addTo(this._map),this._userLocationDotMarker.setLngLat($).addTo(this._map),this._accuracy=O.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},z.prototype._updateCircleRadius=function(){var O=this._map._container.clientHeight/2,$=this._map.unproject([0,O]),pe=this._map.unproject([1,O]),de=$.distanceTo(pe),Ie=Math.ceil(2*this._accuracy/de);this._circleElement.style.width=Ie+\"px\",this._circleElement.style.height=Ie+\"px\"},z.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},z.prototype._onError=function(O){if(this._map){if(this.options.trackUserLocation)if(O.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var $=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=$,this._geolocateButton.setAttribute(\"aria-label\",$),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(O.code===3&&Xl)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"error\",O)),this._finish()}},z.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},z.prototype._setupUI=function(O){var $=this;if(this._container.addEventListener(\"contextmenu\",function(Ie){return Ie.preventDefault()}),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",O===!1){i.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var pe=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=pe,this._geolocateButton.setAttribute(\"aria-label\",pe)}else{var de=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=de,this._geolocateButton.setAttribute(\"aria-label\",de)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Jn(this._dotElement),this._circleElement=o.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Jn({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(Ie){var $e=Ie.originalEvent&&Ie.originalEvent.type===\"resize\";!Ie.geolocateSource&&$._watchState===\"ACTIVE_LOCK\"&&!$e&&($._watchState=\"BACKGROUND\",$._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),$._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),$.fire(new i.Event(\"trackuserlocationend\")))})},z.prototype.trigger=function(){if(!this._setup)return i.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new i.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Jo--,Xl=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new i.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new i.Event(\"trackuserlocationstart\"));break}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Jo++;var O;Jo>1?(O={maximumAge:6e5,timeout:0},Xl=!0):(O=this.options.positionOptions,Xl=!1),this._geolocationWatchID=i.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,O)}}else i.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},z.prototype._clearWatch=function(){i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},z}(i.Evented),xs={maxWidth:100,unit:\"metric\"},Qc=function(z){this.options=i.extend({},xs,z),i.bindAll([\"_onMove\",\"setUnit\"],this)};Qc.prototype.getDefaultPosition=function(){return\"bottom-left\"},Qc.prototype._onMove=function(){El(this._map,this._container,this.options)},Qc.prototype.onAdd=function(z){return this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",z.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Qc.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Qc.prototype.setUnit=function(z){this.options.unit=z,El(this._map,this._container,this.options)};function El(Y,z,K){var O=K&&K.maxWidth||100,$=Y._container.clientHeight/2,pe=Y.unproject([0,$]),de=Y.unproject([O,$]),Ie=pe.distanceTo(de);if(K&&K.unit===\"imperial\"){var $e=3.2808*Ie;if($e>5280){var pt=$e/5280;bc(z,O,pt,Y._getUIString(\"ScaleControl.Miles\"))}else bc(z,O,$e,Y._getUIString(\"ScaleControl.Feet\"))}else if(K&&K.unit===\"nautical\"){var Kt=Ie/1852;bc(z,O,Kt,Y._getUIString(\"ScaleControl.NauticalMiles\"))}else Ie>=1e3?bc(z,O,Ie/1e3,Y._getUIString(\"ScaleControl.Kilometers\")):bc(z,O,Ie,Y._getUIString(\"ScaleControl.Meters\"))}function bc(Y,z,K,O){var $=yf(K),pe=$/K;Y.style.width=z*pe+\"px\",Y.innerHTML=$+\"&nbsp;\"+O}function wc(Y){var z=Math.pow(10,Math.ceil(-Math.log(Y)/Math.LN10));return Math.round(Y*z)/z}function yf(Y){var z=Math.pow(10,(\"\"+Math.floor(Y)).length-1),K=Y/z;return K=K>=10?10:K>=5?5:K>=3?3:K>=2?2:K>=1?1:wc(K),z*K}var Hl=function(z){this._fullscreen=!1,z&&z.container&&(z.container instanceof i.window.HTMLElement?this._container=z.container:i.warnOnce(\"Full screen control 'container' must be a DOM element.\")),i.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in i.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in i.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in i.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in i.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Hl.prototype.onAdd=function(z){return this._map=z,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",i.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Hl.prototype.onRemove=function(){o.remove(this._controlContainer),this._map=null,i.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Hl.prototype._checkFullscreenSupport=function(){return!!(i.window.document.fullscreenEnabled||i.window.document.mozFullScreenEnabled||i.window.document.msFullscreenEnabled||i.window.document.webkitFullscreenEnabled)},Hl.prototype._setupUI=function(){var z=this._fullscreenButton=o.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"mapboxgl-ctrl-icon\",z).setAttribute(\"aria-hidden\",!0),z.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),i.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Hl.prototype._updateTitle=function(){var z=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",z),this._fullscreenButton.title=z},Hl.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Hl.prototype._isFullscreen=function(){return this._fullscreen},Hl.prototype._changeIcon=function(){var z=i.window.document.fullscreenElement||i.window.document.mozFullScreenElement||i.window.document.webkitFullscreenElement||i.window.document.msFullscreenElement;z===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Hl.prototype._onClickFullscreen=function(){this._isFullscreen()?i.window.document.exitFullscreen?i.window.document.exitFullscreen():i.window.document.mozCancelFullScreen?i.window.document.mozCancelFullScreen():i.window.document.msExitFullscreen?i.window.document.msExitFullscreen():i.window.document.webkitCancelFullScreen&&i.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Fc={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},ef=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ls=function(Y){function z(K){Y.call(this),this.options=i.extend(Object.create(Fc),K),i.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.addTo=function(O){return this._map&&this.remove(),this._map=O,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new i.Event(\"open\")),this},z.prototype.isOpen=function(){return!!this._map},z.prototype.remove=function(){return this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new i.Event(\"close\")),this},z.prototype.getLngLat=function(){return this._lngLat},z.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},z.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},z.prototype.getElement=function(){return this._container},z.prototype.setText=function(O){return this.setDOMContent(i.window.document.createTextNode(O))},z.prototype.setHTML=function(O){var $=i.window.document.createDocumentFragment(),pe=i.window.document.createElement(\"body\"),de;for(pe.innerHTML=O;de=pe.firstChild,!!de;)$.appendChild(de);return this.setDOMContent($)},z.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},z.prototype.setMaxWidth=function(O){return this.options.maxWidth=O,this._update(),this},z.prototype.setDOMContent=function(O){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(O),this._createCloseButton(),this._update(),this._focusFirstElement(),this},z.prototype.addClassName=function(O){this._container&&this._container.classList.add(O)},z.prototype.removeClassName=function(O){this._container&&this._container.classList.remove(O)},z.prototype.setOffset=function(O){return this.options.offset=O,this._update(),this},z.prototype.toggleClassName=function(O){if(this._container)return this._container.classList.toggle(O)},z.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},z.prototype._onMouseUp=function(O){this._update(O.point)},z.prototype._onMouseMove=function(O){this._update(O.point)},z.prototype._onDrag=function(O){this._update(O.point)},z.prototype._update=function(O){var $=this,pe=this._lngLat||this._trackPointer;if(!(!this._map||!pe||!this._content)&&(this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(vt){return $._container.classList.add(vt)}),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ma(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!O))){var de=this._pos=this._trackPointer&&O?O:this._map.project(this._lngLat),Ie=this.options.anchor,$e=_f(this.options.offset);if(!Ie){var pt=this._container.offsetWidth,Kt=this._container.offsetHeight,ir;de.y+$e.bottom.y<Kt?ir=[\"top\"]:de.y>this._map.transform.height-Kt?ir=[\"bottom\"]:ir=[],de.x<pt/2?ir.push(\"left\"):de.x>this._map.transform.width-pt/2&&ir.push(\"right\"),ir.length===0?Ie=\"bottom\":Ie=ir.join(\"-\")}var Jt=de.add($e[Ie]).round();o.setTransform(this._container,ro[Ie]+\" translate(\"+Jt.x+\"px,\"+Jt.y+\"px)\"),Ao(this._container,Ie,\"popup\")}},z.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var O=this._container.querySelector(ef);O&&O.focus()}},z.prototype._onClose=function(){this.remove()},z}(i.Evented);function _f(Y){if(Y)if(typeof Y==\"number\"){var z=Math.round(Math.sqrt(.5*Math.pow(Y,2)));return{center:new i.Point(0,0),top:new i.Point(0,Y),\"top-left\":new i.Point(z,z),\"top-right\":new i.Point(-z,z),bottom:new i.Point(0,-Y),\"bottom-left\":new i.Point(z,-z),\"bottom-right\":new i.Point(-z,-z),left:new i.Point(Y,0),right:new i.Point(-Y,0)}}else if(Y instanceof i.Point||Array.isArray(Y)){var K=i.Point.convert(Y);return{center:K,top:K,\"top-left\":K,\"top-right\":K,bottom:K,\"bottom-left\":K,\"bottom-right\":K,left:K,right:K}}else return{center:i.Point.convert(Y.center||[0,0]),top:i.Point.convert(Y.top||[0,0]),\"top-left\":i.Point.convert(Y[\"top-left\"]||[0,0]),\"top-right\":i.Point.convert(Y[\"top-right\"]||[0,0]),bottom:i.Point.convert(Y.bottom||[0,0]),\"bottom-left\":i.Point.convert(Y[\"bottom-left\"]||[0,0]),\"bottom-right\":i.Point.convert(Y[\"bottom-right\"]||[0,0]),left:i.Point.convert(Y.left||[0,0]),right:i.Point.convert(Y.right||[0,0])};else return _f(new i.Point(0,0))}var ns={version:i.version,supported:a,setRTLTextPlugin:i.setRTLTextPlugin,getRTLTextPluginStatus:i.getRTLTextPluginStatus,Map:vn,NavigationControl:Xn,GeolocateControl:$c,AttributionControl:Rn,ScaleControl:Qc,FullscreenControl:Hl,Popup:ls,Marker:Jn,Style:mu,LngLat:i.LngLat,LngLatBounds:i.LngLatBounds,Point:i.Point,MercatorCoordinate:i.MercatorCoordinate,Evented:i.Evented,config:i.config,prewarm:jn,clearPrewarmedResources:la,get accessToken(){return i.config.ACCESS_TOKEN},set accessToken(Y){i.config.ACCESS_TOKEN=Y},get baseApiUrl(){return i.config.API_URL},set baseApiUrl(Y){i.config.API_URL=Y},get workerCount(){return Pi.workerCount},set workerCount(Y){Pi.workerCount=Y},get maxParallelImageRequests(){return i.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(Y){i.config.MAX_PARALLEL_IMAGE_REQUESTS=Y},clearStorage:function(z){i.clearTileCache(z)},workerUrl:\"\"};return ns}),r})});var HUe=ye((Syr,VUe)=>{\"use strict\";var tw=Mr(),xHt=Ll().sanitizeHTML,bHt=UK(),BUe=c1();function NUe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=BUe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ig=NUe.prototype;ig.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=jF(t)};ig.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ig.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ig.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ig.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ig.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapboxLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ig.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!jF(e)){var r=wHt(e);t.addSource(this.idSource,r)}};ig.findFollowingMapboxLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(BUe.traceLayerPrefix)===0){e=n;break}}return e};ig.updateLayer=function(e){var t=this.subplot,r=UUe(e),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),jF(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ig.updateStyle=function(e){if(jF(e)){var t=UUe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ig.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ig.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function jF(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return tw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function UUe(e){var t={},r={};switch(e.type){case\"circle\":tw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":tw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":tw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=bHt(n.textposition,n.iconsize);tw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),tw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":tw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function wHt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=xHt(e.sourceattribution)),n}VUe.exports=function(t,r,n){var i=new NUe(t,r);return i.update(n),i}});var $Ue=ye((Myr,JUe)=>{\"use strict\";var XK=ZK(),YK=Mr(),ZUe=ix(),GUe=ba(),THt=Qa(),AHt=gv(),WF=Nc(),XUe=Sg(),SHt=XUe.drawMode,MHt=XUe.selectMode,EHt=wf().prepSelect,kHt=wf().clearOutline,CHt=wf().clearSelectionsCache,LHt=wf().selectOnClick,yx=c1(),PHt=HUe();function YUe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Ah=YUe.prototype;Ah.plot=function(e,t,r){var n=this,i=t[n.id];n.map&&i.accesstoken!==n.accessToken&&(n.map.remove(),n.map=null,n.styleObj=null,n.traceHash={},n.layerList=[]);var a;n.map?a=new Promise(function(o,s){n.updateMap(e,t,o,s)}):a=new Promise(function(o,s){n.createMap(e,t,o,s)}),r.push(a)};Ah.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=KUe(a.style,t);i.accessToken=a.accesstoken;var s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new XK.Map({container:i.div,style:o.style,center:KK(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new XK.AttributionControl({compact:!0}));u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var c=[];c.push(new Promise(function(f){u.once(\"load\",f)})),c=c.concat(ZUe.fetchTraceGeoData(e)),Promise.all(c).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Ah.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=KUe(o.style,t);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(ZUe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Ah.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var jUe={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};Ah.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return jUe[f[0].trace.type]-jUe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Ah.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(KK(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.mapbox?t.scrollZoom.enable():t.scrollZoom.disable()};Ah.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Ah.rejectOnError=function(e){var t=this.map;function r(){e(new Error(yx.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Ah.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},THt.setConvert(t.mockAxis,e)};Ah.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];GUe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&WF.hover(n,s,r.id)},WF.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){WF.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];GUe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(KK(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){CHt(r.dragOptions),kHt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&LHt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&WF.click(n,l.originalEvent)}}};Ah.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=YK.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),MHt(a)||SHt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){EHt(l,u,c,t.dragOptions,a)},AHt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Ah.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Ah.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(PHt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Ah.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Ah.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Ah.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Ah.getMapLayers=function(){return this.map.getStyle().layers};Ah.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}YK.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Ah.project=function(e){return this.map.project(new XK.LngLat(e[0],e[1]))};Ah.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Ah.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Ah.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function KUe(e,t){var r={};if(YK.isPlainObject(e))r.id=e.id,r.style=e;else if(typeof e==\"string\")if(r.id=e,yx.styleValuesMapbox.indexOf(e)!==-1)r.style=WUe(e);else if(yx.stylesNonMapbox[e]){r.style=yx.stylesNonMapbox[e];var n=r.style.sources[\"plotly-\"+e],i=n?n.tiles:void 0;i&&i[0]&&i[0].slice(-9)===\"?api_key=\"&&(i[0]+=t._mapboxAccessToken)}else r.style=e;else r.id=yx.styleValueDflt,r.style=WUe(yx.styleValueDflt);return r.transition={duration:0,delay:0},r}function WUe(e){return yx.styleUrlPrefix+e+\"-\"+yx.styleUrlSuffix}function KK(e){return[e.lon,e.lat]}JUe.exports=YUe});var tVe=ye((Eyr,eVe)=>{\"use strict\";var JK=Mr(),IHt=k_(),RHt=Zd(),QUe=Pk();eVe.exports=function(t,r,n){IHt(t,r,n,{type:\"mapbox\",attributes:QUe,handleDefaults:DHt,partition:\"y\",accessToken:r._mapboxAccessToken})};function DHt(e,t,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var i=r(\"bounds.west\"),a=r(\"bounds.east\"),o=r(\"bounds.south\"),s=r(\"bounds.north\");(i===void 0||a===void 0||o===void 0||s===void 0)&&delete t.bounds,RHt(e,t,{name:\"layers\",handleItemDefaults:zHt}),t._input=e}function zHt(e,t){function r(l,u){return JK.coerce(e,t,QUe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",JK.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),JK.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var ZF=ye(Np=>{\"use strict\";var rVe=ZK(),tm=Mr(),$K=tm.strTranslate,FHt=tm.strScale,qHt=kd().getSubplotCalcData,OHt=Zp(),BHt=xa(),iVe=ao(),NHt=Ll(),UHt=$Ue(),_x=\"mapbox\",Qm=Np.constants=c1();Np.name=_x;Np.attr=\"subplot\";Np.idRoot=_x;Np.idRegex=Np.attrRegex=tm.counterRegex(_x);var VHt=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");Np.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}};Np.layoutAttributes=Pk();Np.supplyLayoutDefaults=tVe();var nVe=!0;Np.plot=function(t){nVe&&(nVe=!1,tm.warn(VHt));var r=t._fullLayout,n=t.calcdata,i=r._subplots[_x];if(rVe.version!==Qm.requiredVersion)throw new 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h=t._glimages.append(\"g\");h.attr(\"transform\",$K(n.l+n.w*o.x[0]+10,n.t+n.h*(1-o.y[0])-31)),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"polygon\").attr(\"points\",Qm.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var d=c.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=t._glimages.append(\"g\"),x=v.append(\"text\");x.text(d).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":d});var b=iVe.bBox(x.node()),g=n.w*(o.x[1]-o.x[0]);if(b.width>g/2){var E=d.split(\"|\").join(\"<br>\");x.text(E).attr(\"data-unformatted\",E).call(NHt.convertToTspans,e),b=iVe.bBox(x.node())}x.attr(\"transform\",$K(-3,-b.height+8)),v.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var k=1;b.width+6>g&&(k=g/(b.width+6));var A=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];v.attr(\"transform\",$K(A[0],A[1])+FHt(k))}};function HHt(e,t){var r=e._fullLayout,n=e._context;if(n.mapboxAccessToken===\"\")return\"\";for(var i=[],a=[],o=!1,s=!1,l=0;l<t.length;l++){var u=r[t[l]],c=u.accesstoken;aVe(u.style)&&(c?tm.pushUnique(i,c):(aVe(u._input.style)&&(tm.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),c&&tm.pushUnique(a,c)}if(s){var f=o?Qm.noAccessTokenErrorMsg:Qm.missingStyleErrorMsg;throw tm.error(f),new Error(f)}return i.length?(i.length>1&&tm.warn(Qm.multipleTokensErrorMsg),i[0]):(a.length&&tm.log([\"Listed mapbox access 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r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:ZF(),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var uVe=ye((Pyr,lVe)=>{\"use strict\";lVe.exports=sVe()});var QK=ye((Iyr,cVe)=>{\"use strict\";var f1=J5(),GHt=Kl(),jHt=Wo().hovertemplateAttrs,WHt=vl(),xx=no().extendFlat;cVe.exports=xx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:xx({},f1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:f1.text,hovertext:f1.hovertext,marker:{line:{color:xx({},f1.marker.line.color,{editType:\"plot\"}),width:xx({},f1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:xx({},f1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:xx({},f1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:xx({},f1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:f1.hoverinfo,hovertemplate:jHt({},{keys:[\"properties\"]}),showlegend:xx({},WHt.showlegend,{dflt:!1})},GHt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var hVe=ye((Ryr,fVe)=>{\"use 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s=KHt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;h1.isArrayOrTypedArray(l.opacity)&&(c=function(E){var k=E.mo;return YHt(k)?+h1.constrain(k,0,1):0});var f;h1.isArrayOrTypedArray(u.color)&&(f=function(E){return E.mlc});var h;h1.isArrayOrTypedArray(u.width)&&(h=function(E){return E.mlw});for(var d=0;d<e.length;d++){var v=e[d],x=v.fOut;if(x){var b=x.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=dVe.feature2polygons(x)}}var g=c?{type:\"identity\",property:\"mo\"}:l.opacity;return h1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":g}),h1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":g}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},vVe(e),a}function vVe(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=JHt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=h1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return h1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),h1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}pVe.exports={convert:QHt,convertOnSelect:vVe}});var xVe=ye((zyr,_Ve)=>{\"use strict\";var mVe=eJ().convert,eGt=eJ().convertOnSelect,gVe=c1().traceLayerPrefix;function yVe(e,t){this.type=\"choroplethmapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",gVe+t+\"-fill\"],[\"line\",gVe+t+\"-line\"]],this.below=null}var TA=yVe.prototype;TA.update=function(e){this._update(mVe(e)),e[0].trace._glTrace=this};TA.updateOnSelect=function(e){this._update(eGt(e))};TA._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};TA._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};TA._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};TA.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};_Ve.exports=function(t,r){var n=r[0].trace,i=new yVe(t,n.uid),a=i.sourceId,o=mVe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var wVe=ye((qyr,bVe)=>{\"use strict\";var Fyr=[\"*choroplethmapbox* trace is deprecated!\",\"Please consider switching to the *choroplethmap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");bVe.exports={attributes:QK(),supplyDefaults:hVe(),colorbar:S_(),calc:Lz(),plot:xVe(),hoverPoints:Iz(),eventData:Rz(),selectPoints:Dz(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmapbox\",basePlotModule:ZF(),categories:[\"mapbox\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_mapbox\"}}});var AVe=ye((Oyr,TVe)=>{\"use strict\";TVe.exports=wVe()});var rJ=ye((Byr,MVe)=>{\"use strict\";var tGt=Kl(),rGt=Wo().hovertemplateAttrs,SVe=vl(),XF=BF(),tJ=no().extendFlat;MVe.exports=tJ({lon:XF.lon,lat:XF.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:XF.text,hovertext:XF.hovertext,hoverinfo:tJ({},SVe.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:rGt(),showlegend:tJ({},SVe.showlegend,{dflt:!1})},tGt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var kVe=ye((Nyr,EVe)=>{\"use strict\";var iGt=Mr(),nGt=Uh(),aGt=rJ();EVe.exports=function(t,r,n,i){function a(u,c){return iGt.coerce(t,r,aGt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),nGt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var PVe=ye((Uyr,LVe)=>{\"use strict\";var iJ=uo(),oGt=Mr().isArrayOrTypedArray,nJ=es().BADNUM,sGt=zv(),CVe=Mr()._;LVe.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=oGt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=iJ(u)&&iJ(c)?[+u,+c]:[nJ,nJ],o){var f=a[s];l.z=iJ(f)?f:nJ}}return sGt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:CVe(t,\"lat:\")+\" \",lon:CVe(t,\"lon:\")+\" \"}}),i}});var FVe=ye((Vyr,zVe)=>{\"use strict\";var lGt=uo(),aJ=Mr(),IVe=va(),RVe=Mu(),DVe=es().BADNUM,uGt=tx().makeBlank;zVe.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:uGt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=aJ.isArrayOrTypedArray(l)&&l.length,f=aJ.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==DVe){var v={};if(c){var x=h.z;v.z=x!==DVe?x:0}f&&(v.r=lGt(u[s])&&u[s]>0?+u[s]:0),o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:d},properties:v})}}var b=RVe.extractOpts(r),g=b.reversescale?RVe.flipScale(b.colorscale):b.colorscale,E=g[0][1],k=IVe.opacity(E)<1?E:IVe.addOpacity(E,0),A=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,k];for(s=1;s<g.length;s++)A.push(g[s][0],g[s][1]);var L=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return aJ.extendFlat(a.heatmap.paint,{\"heatmap-weight\":c?L:1/(b.max-b.min),\"heatmap-color\":A,\"heatmap-radius\":f?{type:\"identity\",property:\"r\"}:r.radius,\"heatmap-opacity\":r.opacity}),a.geojson={type:\"FeatureCollection\",features:o},a.heatmap.layout.visibility=\"visible\",a}});var NVe=ye((Hyr,BVe)=>{\"use strict\";var qVe=FVe(),cGt=c1().traceLayerPrefix;function OVe(e,t){this.type=\"densitymapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",cGt+t+\"-heatmap\"]],this.below=null}var YF=OVe.prototype;YF.update=function(e){var t=this.subplot,r=this.layerList,n=qVe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};YF._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};YF._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};YF.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};BVe.exports=function(t,r){var n=r[0].trace,i=new OVe(t,n.uid),a=i.sourceId,o=qVe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),i}});var VVe=ye((Gyr,UVe)=>{\"use strict\";var fGt=Qa(),hGt=GF().hoverPoints,dGt=GF().getExtraText;UVe.exports=function(t,r,n){var i=hGt(t,r,n);if(i){var a=i[0],o=a.cd,s=o[0].trace,l=o[a.index];if(delete a.color,\"z\"in l){var u=a.subplot.mockAxis;a.z=l.z,a.zLabel=fGt.tickText(u,u.c2l(l.z),\"hover\").text}return a.extraText=dGt(s,l,o[0].t.labels),[a]}}});var GVe=ye((jyr,HVe)=>{\"use strict\";HVe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t.z=r.z,t}});var WVe=ye((Zyr,jVe)=>{\"use strict\";var Wyr=[\"*densitymapbox* trace is deprecated!\",\"Please consider switching to the *densitymap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");jVe.exports={attributes:rJ(),supplyDefaults:kVe(),colorbar:S_(),formatLabels:NK(),calc:PVe(),plot:NVe(),hoverPoints:VVe(),eventData:GVe(),getBelow:function(e,t){for(var r=t.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if(i.type===\"symbol\"&&typeof a==\"string\"&&a.indexOf(\"plotly-\")===-1)return a}},moduleType:\"trace\",name:\"densitymapbox\",basePlotModule:ZF(),categories:[\"mapbox\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_mapbox\"}}});var XVe=ye((Xyr,ZVe)=>{\"use strict\";ZVe.exports=WVe()});var 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1)\"}},{id:\"highway-shield-us-other\",type:\"symbol\",source:\"openmaptiles\",\"source-layer\":\"transportation_name\",minzoom:9,filter:[\"all\",[\"<=\",\"ref_length\",6],[\"==\",\"$type\",\"LineString\"],[\"in\",\"network\",\"us-highway\",\"us-state\"]],layout:{\"text-size\":10,\"icon-image\":\"{network}_{ref_length}\",\"icon-rotation-alignment\":\"viewport\",\"symbol-spacing\":200,\"text-font\":[\"Noto Sans Regular\"],\"symbol-placement\":{base:1,stops:[[10,\"point\"],[11,\"line\"]]},\"text-rotation-alignment\":\"viewport\",\"icon-size\":1,\"text-field\":\"{ref}\"},paint:{\"text-color\":\"rgba(0, 0, 0, 1)\"}},{id:\"place-other\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",minzoom:12,filter:[\"!in\",\"class\",\"city\",\"town\",\"village\",\"country\",\"continent\"],layout:{\"text-letter-spacing\":.1,\"text-size\":{base:1.2,stops:[[12,10],[15,14]]},\"text-font\":[\"Noto Sans Bold\"],\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-transform\":\"uppercase\",\"text-max-width\":9,visibility:\"visible\"},paint:{\"text-color\":\"rgba(255,255,255,1)\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(57, 28, 28, 1)\"}},{id:\"place-village\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",minzoom:10,filter:[\"==\",\"class\",\"village\"],layout:{\"text-font\":[\"Noto Sans Regular\"],\"text-size\":{base:1.2,stops:[[10,12],[15,16]]},\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-max-width\":8,visibility:\"visible\"},paint:{\"text-color\":\"rgba(255, 255, 255, 1)\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(10, 9, 9, 0.8)\"}},{id:\"place-town\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"==\",\"class\",\"town\"],layout:{\"text-font\":[\"Noto Sans Regular\"],\"text-size\":{base:1.2,stops:[[10,14],[15,24]]},\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-max-width\":8,visibility:\"visible\"},paint:{\"text-color\":\"rgba(255, 255, 255, 1)\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(22, 22, 22, 0.8)\"}},{id:\"place-city\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"!=\",\"capital\",2],[\"==\",\"class\",\"city\"]],layout:{\"text-font\":[\"Noto Sans Regular\"],\"text-size\":{base:1.2,stops:[[7,14],[11,24]]},\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-max-width\":8,visibility:\"visible\"},paint:{\"text-color\":\"rgba(0, 0, 0, 1)\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-city-capital\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"capital\",2],[\"==\",\"class\",\"city\"]],layout:{\"text-font\":[\"Noto Sans Regular\"],\"text-size\":{base:1.2,stops:[[7,14],[11,24]]},\"text-field\":`{name:latin}\n",
+       "{name:nonlatin}`,\"text-max-width\":8,\"icon-image\":\"star_11\",\"text-offset\":[.4,0],\"icon-size\":.8,\"text-anchor\":\"left\",visibility:\"visible\"},paint:{\"text-color\":\"#333\",\"text-halo-width\":1.2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-country-other\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"class\",\"country\"],[\">=\",\"rank\",3],[\"!has\",\"iso_a2\"]],layout:{\"text-font\":[\"Noto Sans Italic\"],\"text-field\":\"{name:latin}\",\"text-size\":{stops:[[3,11],[7,17]]},\"text-transform\":\"uppercase\",\"text-max-width\":6.25,visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-country-3\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"class\",\"country\"],[\">=\",\"rank\",3],[\"has\",\"iso_a2\"]],layout:{\"text-font\":[\"Noto Sans Bold\"],\"text-field\":\"{name:latin}\",\"text-size\":{stops:[[3,11],[7,17]]},\"text-transform\":\"uppercase\",\"text-max-width\":6.25,visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-country-2\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"class\",\"country\"],[\"==\",\"rank\",2],[\"has\",\"iso_a2\"]],layout:{\"text-font\":[\"Noto Sans Bold\"],\"text-field\":\"{name:latin}\",\"text-size\":{stops:[[2,11],[5,17]]},\"text-transform\":\"uppercase\",\"text-max-width\":6.25,visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-country-1\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",filter:[\"all\",[\"==\",\"class\",\"country\"],[\"==\",\"rank\",1],[\"has\",\"iso_a2\"]],layout:{\"text-font\":[\"Noto Sans Bold\"],\"text-field\":\"{name:latin}\",\"text-size\":{stops:[[1,11],[4,17]]},\"text-transform\":\"uppercase\",\"text-max-width\":6.25,visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}},{id:\"place-continent\",type:\"symbol\",metadata:{\"mapbox:group\":\"1444849242106.713\"},source:\"openmaptiles\",\"source-layer\":\"place\",maxzoom:1,filter:[\"==\",\"class\",\"continent\"],layout:{\"text-font\":[\"Noto Sans Bold\"],\"text-field\":\"{name:latin}\",\"text-size\":14,\"text-max-width\":6.25,\"text-transform\":\"uppercase\",visibility:\"visible\"},paint:{\"text-halo-blur\":1,\"text-color\":\"#334\",\"text-halo-width\":2,\"text-halo-color\":\"rgba(255,255,255,0.8)\"}}],id:\"qebnlkra6\"}});var $Ve=ye((Kyr,JVe)=>{JVe.exports={version:8,name:\"orto\",metadata:{},center:[1.537786,41.837539],zoom:12,bearing:0,pitch:0,light:{anchor:\"viewport\",color:\"white\",intensity:.4,position:[1.15,45,30]},sources:{ortoEsri:{type:\"raster\",tiles:[\"https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}\"],tileSize:256,maxzoom:18,attribution:\"ESRI &copy; <a href='http://www.esri.com'>ESRI</a>\"},ortoInstaMaps:{type:\"raster\",tiles:[\"https://tilemaps.icgc.cat/mapfactory/wmts/orto_8_12/CAT3857/{z}/{x}/{y}.png\"],tileSize:256,maxzoom:13},ortoICGC:{type:\"raster\",tiles:[\"https://geoserveis.icgc.cat/icc_mapesmultibase/noutm/wmts/orto/GRID3857/{z}/{x}/{y}.jpeg\"],tileSize:256,minzoom:13.1,maxzoom:20},openmaptiles:{type:\"vector\",url:\"https://geoserveis.icgc.cat/contextmaps/basemap.json\"}},sprite:\"https://geoserveis.icgc.cat/contextmaps/sprites/sprite@1\",glyphs:\"https://geoserveis.icgc.cat/contextmaps/glyphs/{fontstack}/{range}.pbf\",layers:[{id:\"background\",type:\"background\",paint:{\"background-color\":\"#F4F9F4\"}},{id:\"ortoEsri\",type:\"raster\",source:\"ortoEsri\",maxzoom:16,layout:{visibility:\"visible\"}},{id:\"ortoICGC\",type:\"raster\",source:\"ortoICGC\",minzoom:13.1,maxzoom:19,layout:{visibility:\"visible\"}},{id:\"ortoInstaMaps\",type:\"raster\",source:\"ortoInstaMaps\",maxzoom:13,layout:{visibility:\"visible\"}}]}});var bx=ye((Jyr,iHe)=>{\"use strict\";var vGt=X1(),pGt=KVe(),gGt=$Ve(),mGt='\\xA9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',QVe=\"https://basemaps.cartocdn.com/gl/positron-gl-style/style.json\",eHe=\"https://basemaps.cartocdn.com/gl/dark-matter-gl-style/style.json\",KF=\"https://basemaps.cartocdn.com/gl/voyager-gl-style/style.json\",yGt=\"https://basemaps.cartocdn.com/gl/positron-nolabels-gl-style/style.json\",_Gt=\"https://basemaps.cartocdn.com/gl/dark-matter-nolabels-gl-style/style.json\",xGt=\"https://basemaps.cartocdn.com/gl/voyager-nolabels-gl-style/style.json\",rHe={basic:KF,streets:KF,outdoors:KF,light:QVe,dark:eHe,satellite:gGt,\"satellite-streets\":pGt,\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:mGt,tiles:[\"https://tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"carto-positron\":QVe,\"carto-darkmatter\":eHe,\"carto-voyager\":KF,\"carto-positron-nolabels\":yGt,\"carto-darkmatter-nolabels\":_Gt,\"carto-voyager-nolabels\":xGt},tHe=vGt(rHe);iHe.exports={styleValueDflt:\"basic\",stylesMap:rHe,styleValuesMap:tHe,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",missingStyleErrorMsg:[\"No valid maplibre style found, please set `map.style` to one of:\",tHe.join(\", \"),\"or use a tile service.\"].join(`\n",
+       "`),mapOnErrorMsg:\"Map error.\"}});var Fk=ye(($yr,lHe)=>{\"use strict\";var nHe=Mr(),aHe=va().defaultLine,bGt=Ju().attributes,wGt=Su(),TGt=Uc().textposition,AGt=Bu().overrideAll,SGt=Vs().templatedArray,oHe=bx(),sHe=wGt({noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0});sHe.family.dflt=\"Open Sans Regular, Arial Unicode MS Regular\";var MGt=lHe.exports=AGt({_arrayAttrRegexps:[nHe.counterRegex(\"map\",\".layers\",!0)],domain:bGt({name:\"map\"}),style:{valType:\"any\",values:oHe.styleValuesMap,dflt:oHe.styleValueDflt},center:{lon:{valType:\"number\",dflt:0},lat:{valType:\"number\",dflt:0}},zoom:{valType:\"number\",dflt:1},bearing:{valType:\"number\",dflt:0},pitch:{valType:\"number\",dflt:0},bounds:{west:{valType:\"number\"},east:{valType:\"number\"},south:{valType:\"number\"},north:{valType:\"number\"}},layers:SGt(\"layer\",{visible:{valType:\"boolean\",dflt:!0},sourcetype:{valType:\"enumerated\",values:[\"geojson\",\"vector\",\"raster\",\"image\"],dflt:\"geojson\"},source:{valType:\"any\"},sourcelayer:{valType:\"string\",dflt:\"\"},sourceattribution:{valType:\"string\"},type:{valType:\"enumerated\",values:[\"circle\",\"line\",\"fill\",\"symbol\",\"raster\"],dflt:\"circle\"},coordinates:{valType:\"any\"},below:{valType:\"string\"},color:{valType:\"color\",dflt:aHe},opacity:{valType:\"number\",min:0,max:1,dflt:1},minzoom:{valType:\"number\",min:0,max:24,dflt:0},maxzoom:{valType:\"number\",min:0,max:24,dflt:24},circle:{radius:{valType:\"number\",dflt:15}},line:{width:{valType:\"number\",dflt:2},dash:{valType:\"data_array\"}},fill:{outlinecolor:{valType:\"color\",dflt:aHe}},symbol:{icon:{valType:\"string\",dflt:\"marker\"},iconsize:{valType:\"number\",dflt:10},text:{valType:\"string\",dflt:\"\"},placement:{valType:\"enumerated\",values:[\"point\",\"line\",\"line-center\"],dflt:\"point\"},textfont:sHe,textposition:nHe.extendFlat({},TGt,{arrayOk:!1})}})},\"plot\",\"from-root\");MGt.uirevision={valType:\"any\",editType:\"none\"}});var JF=ye((Qyr,fHe)=>{\"use strict\";var EGt=Wo().hovertemplateAttrs,kGt=Wo().texttemplateAttrs,CGt=Eg(),qk=H2(),AA=Uc(),uHe=Fk(),LGt=vl(),PGt=Kl(),rw=no().extendFlat,IGt=Bu().overrideAll,RGt=Fk(),cHe=qk.line,SA=qk.marker;fHe.exports=IGt({lon:qk.lon,lat:qk.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:rw({},RGt.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:rw({},SA.opacity,{dflt:1})},mode:rw({},AA.mode,{dflt:\"markers\"}),text:rw({},AA.text,{}),texttemplate:kGt({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:rw({},AA.hovertext,{}),line:{color:cHe.color,width:cHe.width},connectgaps:AA.connectgaps,marker:rw({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:SA.opacity,size:SA.size,sizeref:SA.sizeref,sizemin:SA.sizemin,sizemode:SA.sizemode},PGt(\"marker\")),fill:qk.fill,fillcolor:CGt(),textfont:uHe.layers.symbol.textfont,textposition:uHe.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:AA.selected.marker},unselected:{marker:AA.unselected.marker},hoverinfo:rw({},LGt.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:EGt()},\"calc\",\"nested\")});var oJ=ye((e1r,hHe)=>{\"use strict\";var DGt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];hHe.exports={isSupportedFont:function(e){return DGt.indexOf(e)!==-1}}});var pHe=ye((t1r,vHe)=>{\"use strict\";var Ok=Mr(),sJ=lu(),zGt=$p(),FGt=R0(),qGt=D0(),OGt=Ig(),dHe=JF(),BGt=oJ().isSupportedFont;vHe.exports=function(t,r,n,i){function a(g,E){return Ok.coerce(t,r,dHe,g,E)}function o(g,E){return Ok.coerce2(t,r,dHe,g,E)}var s=NGt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),a(\"below\"),sJ.hasMarkers(r)){zGt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Ok.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Ok.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}sJ.hasLines(r)&&(FGt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,x=a(\"cluster.enabled\",v);if(x||sJ.hasText(r)){var b=i.font.family;qGt(t,r,i,a,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:BGt(b)?b:\"Open Sans Regular\",weight:i.font.weight,style:i.font.style,size:i.font.size,color:i.font.color}})}a(\"fill\"),r.fill!==\"none\"&&OGt(t,r,n,a),Ok.coerceSelectionMarkerOpacity(r,a)};function NGt(e,t,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return t._length=a,a}});var lJ=ye((r1r,mHe)=>{\"use strict\";var gHe=Qa();mHe.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot,o=a.mockAxis,s=t.lonlat;return i.lonLabel=gHe.tickText(o,o.c2l(s[0]),!0).text,i.latLabel=gHe.tickText(o,o.c2l(s[1]),!0).text,i}});var uJ=ye((i1r,_He)=>{\"use strict\";var yHe=Mr();_He.exports=function(t,r){var n=t.split(\" 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g;if((a||o)&&(g=QF.calcTraceToLineCoords(r)),a&&(h.geojson=QF.makePolygon(g),h.layout.visibility=\"visible\",nv.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=QF.makeLine(g),d.layout.visibility=\"visible\",nv.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var E=YGt(r);v.geojson=E.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":fJ(n.cluster.color,n.cluster.step),\"circle-radius\":fJ(n.cluster.size,n.cluster.step),\"circle-opacity\":fJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":bHe(n),\"text-size\":12}}),nv.extendFlat(v.paint,{\"circle-color\":E.mcc,\"circle-radius\":E.mrc,\"circle-opacity\":E.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(x.geojson=KGt(r,t),nv.extendFlat(x.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(nv.extendFlat(x.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in n.marker&&n.marker.angle!==\"auto\"&&nv.extendFlat(x.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),x.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,nv.extendFlat(x.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var k=(n.marker||{}).size,A=jGt(n.textposition,k);nv.extendFlat(x.layout,{\"text-size\":n.textfont.size,\"text-anchor\":A.anchor,\"text-offset\":A.offset,\"text-font\":bHe(n)}),nv.extendFlat(x.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function $F(e){return{type:e,geojson:QF.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function YGt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=nv.isArrayOrTypedArray(r.color),a=nv.isArrayOrTypedArray(r.size),o=nv.isArrayOrTypedArray(r.opacity),s;function l(k){return t.opacity*k}function u(k){return k/2}var c;i&&(xHe.hasColorscale(t,\"marker\")?c=xHe.makeColorScaleFuncFromTrace(r):c=nv.identity);var f;a&&(f=HGt(t));var h;o&&(h=function(k){var A=wHe(k)?+nv.constrain(k,0,1):0;return l(A)});var d=[];for(s=0;s<e.length;s++){var v=e[s],x=v.lonlat;if(!THe(x)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:x},properties:b})}}var g;if(n)for(g=VGt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var E=d[s].properties;g.selectedOpacityFn&&(E.mo=l(g.selectedOpacityFn(E))),g.selectedColorFn&&(E.mcc=g.selectedColorFn(E)),g.selectedSizeFn&&(E.mrc=g.selectedSizeFn(E))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||g&&g.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||g&&g.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||g&&g.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function KGt(e,t){for(var r=t._fullLayout,n=e[0].trace,i=n.marker||{},a=i.symbol,o=i.angle,s=a!==\"circle\"?cJ(a):t7,l=o!==\"auto\"?cJ(o,!0):t7,u=e7.hasText(n)?cJ(n.text):t7,c=[],f=0;f<e.length;f++){var h=e[f];if(!THe(h.lonlat)){var d=n.texttemplate,v;if(d){var x=Array.isArray(d)?d[f]||\"\":d,b=n._module.formatLabels(h,n,r),g={};WGt(g,n,h.i);var E=n._meta||{};v=nv.texttemplateString(x,b,r._d3locale,g,h,E)}else v=u(f);v&&(v=v.replace(ZGt,\"\").replace(XGt,`\n",
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EHe(e,t,r,n){this.type=\"scattermap\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:MA+t+\"-fill\",line:MA+t+\"-line\",circle:MA+t+\"-circle\",symbol:MA+t+\"-symbol\",cluster:MA+t+\"-cluster\",clusterCount:MA+t+\"-cluster-count\"},this.below=null}var Bk=EHe.prototype;Bk.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&JGt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};Bk.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};Bk.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};Bk.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=MHe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(k){k||u.addSource(\"circle\",a.circle,r.cluster);for(var A=ng.cluster,L=0;L<A.length;L++){var _=A[L],C=a[_];u.addLayer(_,C,o)}}function f(k){for(var A=ng.cluster,L=A.length-1;L>=0;L--){var _=A[L];i.removeLayer(u.layerIds[_])}k||i.removeSource(u.sourceIds.circle)}function h(k){for(var A=ng.nonCluster,L=0;L<A.length;L++){var _=A[L],C=a[_];k||u.addSource(_,C),u.addLayer(_,C,o)}}function d(k){for(var 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Math.max(Math.sqrt(q*q+V*V)-H,1-3/H)}if($Gt.getClosest(n,x,e),e.index!==!1){var b=n[e.index],g=b.lonlat,E=[hJ.modHalf(g[0],360)+d,g[1]],k=a.c2p(E),A=o.c2p(E),L=b.mrc||1;e.x0=k-L,e.x1=k+L,e.y0=A-L,e.y1=A+L;var _={};_[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,_);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=QGt(i,b),e.extraText=LHe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function LHe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&ejt(t,e,u),u.join(\"<br>\")}PHe.exports={hoverPoints:ijt,getExtraText:LHe}});var RHe=ye((s1r,IHe)=>{\"use strict\";IHe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var zHe=ye((l1r,DHe)=>{\"use strict\";var njt=Mr(),ajt=lu(),ojt=es().BADNUM;DHe.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l;if(!ajt.hasMarkers(s))return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++){var u=n[l],c=u.lonlat;if(c[0]!==ojt){var f=[njt.modHalf(c[0],360),c[1]],h=[i.c2p(f),a.c2p(f)];r.contains(h,null,l,t)?(o.push({pointNumber:l,lon:c[0],lat:c[1]}),u.selected=1):u.selected=0}}return o}});var qHe=ye((dJ,vJ)=>{(function(e,t){typeof dJ==\"object\"&&typeof vJ!=\"undefined\"?vJ.exports=t():typeof define==\"function\"&&define.amd?define(t):(e=typeof globalThis!=\"undefined\"?globalThis:e||self,e.maplibregl=t())})(dJ,function(){\"use strict\";var e={},t={};function r(i,a,o){if(t[i]=o,i===\"index\"){var s=\"var sharedModule = {}; (\"+t.shared+\")(sharedModule); (\"+t.worker+\")(sharedModule);\",l={};return t.shared(l),t.index(e,l),typeof window!=\"undefined\"&&e.setWorkerUrl(window.URL.createObjectURL(new 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j=D.parse(S[1],1,fr),te=D.parse(S[2],2,fr);if(!j||!te)return null;if(!ht(j.type,[dt,Et,St,Lt,fr]))return D.error(`Expected first argument to be of type boolean, string, number or null, but found ${Ye(j.type)} instead`);if(S.length===4){let ue=D.parse(S[3],3,St);return ue?new ti(j,te,ue):null}return new ti(j,te)}evaluate(S){let D=this.needle.evaluate(S),j=this.haystack.evaluate(S);if(!Le(D,[\"boolean\",\"string\",\"number\",\"null\"]))throw new la(`Expected first argument to be of type boolean, string, number or null, but found ${Ye(Ki(D))} instead.`);let te;if(this.fromIndex&&(te=this.fromIndex.evaluate(S)),Le(j,[\"string\"])){let ue=j.indexOf(D,te);return ue===-1?-1:[...j.slice(0,ue)].length}if(Le(j,[\"array\"]))return j.indexOf(D,te);throw new la(`Expected second argument to be of type array or string, but found ${Ye(Ki(j))} instead.`)}eachChild(S){S(this.needle),S(this.haystack),this.fromIndex&&S(this.fromIndex)}outputDefined(){return!1}}class zi{constructor(S,D,j,te,ue,ve){this.inputType=S,this.type=D,this.input=j,this.cases=te,this.outputs=ue,this.otherwise=ve}static parse(S,D){if(S.length<5)return D.error(`Expected at least 4 arguments, but found only ${S.length-1}.`);if(S.length%2!=1)return D.error(\"Expected an even number of arguments.\");let j,te;D.expectedType&&D.expectedType.kind!==\"value\"&&(te=D.expectedType);let ue={},ve=[];for(let at=2;at<S.length-1;at+=2){let Tt=S[at],Ft=S[at+1];Array.isArray(Tt)||(Tt=[Tt]);let Qt=D.concat(at);if(Tt.length===0)return Qt.error(\"Expected at least one branch label.\");for(let Tr of Tt){if(typeof Tr!=\"number\"&&typeof Tr!=\"string\")return Qt.error(\"Branch labels must be numbers or strings.\");if(typeof Tr==\"number\"&&Math.abs(Tr)>Number.MAX_SAFE_INTEGER)return Qt.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(typeof Tr==\"number\"&&Math.floor(Tr)!==Tr)return Qt.error(\"Numeric branch labels must be integer 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j;D.expectedType&&D.expectedType.kind!==\"value\"&&(j=D.expectedType);let te=[];for(let ve=1;ve<S.length-1;ve+=2){let De=D.parse(S[ve],ve,dt);if(!De)return null;let Ze=D.parse(S[ve+1],ve+1,j);if(!Ze)return null;te.push([De,Ze]),j=j||Ze.type}let ue=D.parse(S[S.length-1],S.length-1,j);if(!ue)return null;if(!j)throw new Error(\"Can't infer output type\");return new Yi(j,te,ue)}evaluate(S){for(let[D,j]of this.branches)if(D.evaluate(S))return j.evaluate(S);return this.otherwise.evaluate(S)}eachChild(S){for(let[D,j]of this.branches)S(D),S(j);S(this.otherwise)}outputDefined(){return this.branches.every(([S,D])=>D.outputDefined())&&this.otherwise.outputDefined()}}class an{constructor(S,D,j,te){this.type=S,this.input=D,this.beginIndex=j,this.endIndex=te}static parse(S,D){if(S.length<=2||S.length>=5)return D.error(`Expected 3 or 4 arguments, but found ${S.length-1} instead.`);let j=D.parse(S[1],1,fr),te=D.parse(S[2],2,St);if(!j||!te)return null;if(!ht(j.type,[Ne(fr),Et,fr]))return D.error(`Expected first argument to be of type array or string, but found ${Ye(j.type)} instead`);if(S.length===4){let ue=D.parse(S[3],3,St);return ue?new an(j.type,j,te,ue):null}return new an(j.type,j,te)}evaluate(S){let D=this.input.evaluate(S),j=this.beginIndex.evaluate(S),te;if(this.endIndex&&(te=this.endIndex.evaluate(S)),Le(D,[\"string\"]))return[...D].slice(j,te).join(\"\");if(Le(D,[\"array\"]))return D.slice(j,te);throw new la(`Expected first argument to be of type array or string, but found ${Ye(Ki(D))} instead.`)}eachChild(S){S(this.input),S(this.beginIndex),this.endIndex&&S(this.endIndex)}outputDefined(){return!1}}function hi(R,S){let D=R.length-1,j,te,ue=0,ve=D,De=0;for(;ue<=ve;)if(De=Math.floor((ue+ve)/2),j=R[De],te=R[De+1],j<=S){if(De===D||S<te)return De;ue=De+1}else{if(!(j>S))throw new la(\"Input is not a number.\");ve=De-1}return 0}class Ji{constructor(S,D,j){this.type=S,this.input=D,this.labels=[],this.outputs=[];for(let[te,ue]of j)this.labels.push(te),this.outputs.push(ue)}static parse(S,D){if(S.length-1<4)return D.error(`Expected at least 4 arguments, but found only ${S.length-1}.`);if((S.length-1)%2!=0)return D.error(\"Expected an even number of arguments.\");let j=D.parse(S[1],1,St);if(!j)return null;let te=[],ue=null;D.expectedType&&D.expectedType.kind!==\"value\"&&(ue=D.expectedType);for(let ve=1;ve<S.length;ve+=2){let De=ve===1?-1/0:S[ve],Ze=S[ve+1],at=ve,Tt=ve+1;if(typeof De!=\"number\")return D.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',at);if(te.length&&te[te.length-1][0]>=De)return D.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',at);let Ft=D.parse(Ze,Tt,ue);if(!Ft)return null;ue=ue||Ft.type,te.push([De,Ft])}return new Ji(ue,j,te)}evaluate(S){let D=this.labels,j=this.outputs;if(D.length===1)return j[0].evaluate(S);let 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this._warningHistory[De.message]||(this._warningHistory[De.message]=!0,typeof console!=\"undefined\"&&console.warn(De.message)),this._defaultValue}}}function Lc(R){return Array.isArray(R)&&R.length>0&&typeof R[0]==\"string\"&&R[0]in kf}function fl(R,S){let D=new oo(kf,kh,[],S?function(te){let ue={color:Ht,string:Et,number:St,enum:Et,boolean:dt,formatted:Br,padding:Or,resolvedImage:Nr,variableAnchorOffsetCollection:ut};return te.type===\"array\"?Ne(ue[te.value]||fr,te.length):ue[te.type]}(S):void 0),j=D.parse(R,void 0,void 0,void 0,S&&S.type===\"string\"?{typeAnnotation:\"coerce\"}:void 0);return j?Wc(new Pu(j,S)):df(D.errors)}class Xc{constructor(S,D){this.kind=S,this._styleExpression=D,this.isStateDependent=S!==\"constant\"&&!rc(D.expression)}evaluateWithoutErrorHandling(S,D,j,te,ue,ve){return this._styleExpression.evaluateWithoutErrorHandling(S,D,j,te,ue,ve)}evaluate(S,D,j,te,ue,ve){return this._styleExpression.evaluate(S,D,j,te,ue,ve)}}class 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S=R.valueSpec,D=Fs(R.value.type),j,te,ue,ve={},De=D!==\"categorical\"&&R.value.property===void 0,Ze=!De,at=ds(R.value.stops)===\"array\"&&ds(R.value.stops[0])===\"array\"&&ds(R.value.stops[0][0])===\"object\",Tt=xu({key:R.key,value:R.value,valueSpec:R.styleSpec.function,validateSpec:R.validateSpec,style:R.style,styleSpec:R.styleSpec,objectElementValidators:{stops:function(sr){if(D===\"identity\")return[new er(sr.key,sr.value,'identity function may not have a \"stops\" property')];let Tr=[],Pr=sr.value;return Tr=Tr.concat(Lh({key:sr.key,value:Pr,valueSpec:sr.valueSpec,validateSpec:sr.validateSpec,style:sr.style,styleSpec:sr.styleSpec,arrayElementValidator:Ft})),ds(Pr)===\"array\"&&Pr.length===0&&Tr.push(new er(sr.key,Pr,\"array must have at least one stop\")),Tr},default:function(sr){return sr.validateSpec({key:sr.key,value:sr.value,valueSpec:S,validateSpec:sr.validateSpec,style:sr.style,styleSpec:sr.styleSpec})}}});return D===\"identity\"&&De&&Tt.push(new er(R.key,R.value,'missing 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D=S.value.expression||S.value._styleExpression.expression;if(R.expressionContext===\"property\"&&R.propertyKey===\"text-font\"&&!D.outputDefined())return[new er(R.key,R.value,`Invalid data expression for \"${R.propertyKey}\". 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+       "Use an identity property function instead: \\`{ \"type\": \"identity\", \"property\": ${JSON.stringify(Ft[1])} }\\`.`)];let Qt=[];return R.layerType===\"symbol\"&&(De===\"text-field\"&&te&&!te.glyphs&&Qt.push(new er(D,ve,'use of \"text-field\" requires a style \"glyphs\" property')),De===\"text-font\"&&Ch(_u(ve))&&Fs(ve.type)===\"identity\"&&Qt.push(new er(D,ve,'\"text-font\" does not support identity functions'))),Qt.concat(j({key:R.key,value:ve,valueSpec:Tt,style:te,styleSpec:ue,expressionContext:\"property\",propertyType:S,propertyKey:De}))}function Ph(R){return pf(R,\"paint\")}function Rl(R){return pf(R,\"layout\")}function Ih(R){let S=[],D=R.value,j=R.key,te=R.style,ue=R.styleSpec;D.type||D.ref||S.push(new er(j,D,'either \"type\" or \"ref\" is required'));let ve=Fs(D.type),De=Fs(D.ref);if(D.id){let Ze=Fs(D.id);for(let at=0;at<R.arrayIndex;at++){let Tt=te.layers[at];Fs(Tt.id)===Ze&&S.push(new er(j,D.id,`duplicate layer id \"${D.id}\", previously used at line 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S=S.concat(xu({key:j,value:D,valueSpec:ue.layer,style:R.style,styleSpec:R.styleSpec,validateSpec:R.validateSpec,objectElementValidators:{\"*\":()=>[],type:()=>R.validateSpec({key:`${j}.type`,value:D.type,valueSpec:ue.layer.type,style:R.style,styleSpec:R.styleSpec,validateSpec:R.validateSpec,object:D,objectKey:\"type\"}),filter:Vf,layout:Ze=>xu({layer:D,key:Ze.key,value:Ze.value,style:Ze.style,styleSpec:Ze.styleSpec,validateSpec:Ze.validateSpec,objectElementValidators:{\"*\":at=>Rl(Ke({layerType:ve},at))}}),paint:Ze=>xu({layer:D,key:Ze.key,value:Ze.value,style:Ze.style,styleSpec:Ze.styleSpec,validateSpec:Ze.validateSpec,objectElementValidators:{\"*\":at=>Ph(Ke({layerType:ve},at))}})}})),S}function Wu(R){let S=R.value,D=R.key,j=ds(S);return j!==\"string\"?[new er(D,S,`string expected, ${j} found`)]:[]}let Rc={promoteId:function({key:R,value:S}){if(ds(S)===\"string\")return Wu({key:R,value:S});{let D=[];for(let j in S)D.push(...Wu({key:`${R}.${j}`,value:S[j]}));return D}}};function gc(R){let S=R.value,D=R.key,j=R.styleSpec,te=R.style,ue=R.validateSpec;if(!S.type)return[new er(D,S,'\"type\" is required')];let ve=Fs(S.type),De;switch(ve){case\"vector\":case\"raster\":return De=xu({key:D,value:S,valueSpec:j[`source_${ve.replace(\"-\",\"_\")}`],style:R.style,styleSpec:j,objectElementValidators:Rc,validateSpec:ue}),De;case\"raster-dem\":return De=function(Ze){var at;let Tt=(at=Ze.sourceName)!==null&&at!==void 0?at:\"\",Ft=Ze.value,Qt=Ze.styleSpec,sr=Qt.source_raster_dem,Tr=Ze.style,Pr=[],$r=ds(Ft);if(Ft===void 0)return Pr;if($r!==\"object\")return Pr.push(new er(\"source_raster_dem\",Ft,`object expected, ${$r} found`)),Pr;let ni=Fs(Ft.encoding)===\"custom\",Di=[\"redFactor\",\"greenFactor\",\"blueFactor\",\"baseShift\"],pi=Ze.value.encoding?`\"${Ze.value.encoding}\"`:\"Default\";for(let ki in Ft)!ni&&Di.includes(ki)?Pr.push(new er(ki,Ft[ki],`In \"${Tt}\": \"${ki}\" is only valid when \"encoding\" is set to \"custom\". ${pi} encoding 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D=D.concat(gf({key:\"\",value:R,valueSpec:S.$root,styleSpec:S,style:R,validateSpec:gf,objectElementValidators:{glyphs:gt,\"*\":()=>[]}})),R.constants&&(D=D.concat(sh({key:\"constants\",value:R.constants,style:R,styleSpec:S,validateSpec:gf}))),vr(D)}function wr(R){return function(S){return R(KQ(YQ({},S),{validateSpec:gf}))}}function vr(R){return[].concat(R).sort((S,D)=>S.line-D.line)}function Ur(R){return function(...S){return vr(R.apply(this,S))}}Bt.source=Ur(wr(gc)),Bt.sprite=Ur(wr(Yc)),Bt.glyphs=Ur(wr(gt)),Bt.light=Ur(wr(hl)),Bt.sky=Ur(wr(ru)),Bt.terrain=Ur(wr(mc)),Bt.layer=Ur(wr(Ih)),Bt.filter=Ur(wr(Vf)),Bt.paintProperty=Ur(wr(Ph)),Bt.layoutProperty=Ur(wr(Rl));let fi=Bt,xi=fi.light,Fi=fi.sky,Xi=fi.paintProperty,hn=fi.layoutProperty;function Ti(R,S){let D=!1;if(S&&S.length)for(let j of S)R.fire(new me(new Error(j.message))),D=!0;return D}class qi{constructor(S,D,j){let te=this.cells=[];if(S instanceof ArrayBuffer){this.arrayBuffer=S;let ve=new 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instanceof String||R instanceof Date||R instanceof RegExp||R instanceof Blob||R instanceof Error||Pn(R)||H(R)||ArrayBuffer.isView(R)||R instanceof ImageData)}function Ea(R,S){if(Ta(R))return(Pn(R)||H(R))&&S&&S.push(R),ArrayBuffer.isView(R)&&S&&S.push(R.buffer),R instanceof ImageData&&S&&S.push(R.data.buffer),R;if(Array.isArray(R)){let ue=[];for(let ve of R)ue.push(Ea(ve,S));return ue}if(typeof R!=\"object\")throw new Error(\"can't serialize object of type \"+typeof R);let D=Ma(R);if(!D)throw new Error(`can't serialize object of unregistered class ${R.constructor.name}`);if(!Ii[D])throw new Error(`${D} is not registered.`);let{klass:j}=Ii[D],te=j.serialize?j.serialize(R,S):{};if(j.serialize){if(S&&te===S[S.length-1])throw new Error(\"statically serialized object won't survive transfer of $name property\")}else{for(let ue in R){if(!R.hasOwnProperty(ue)||Ii[D].omit.indexOf(ue)>=0)continue;let ve=R[ue];te[ue]=Ii[D].shallow.indexOf(ue)>=0?ve:Ea(ve,S)}R instanceof Error&&(te.message=R.message)}if(te.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return D!==\"Object\"&&(te.$name=D),te}function qa(R){if(Ta(R))return R;if(Array.isArray(R))return R.map(qa);if(typeof R!=\"object\")throw new Error(\"can't deserialize object of type \"+typeof R);let S=Ma(R)||\"Object\";if(!Ii[S])throw new Error(`can't deserialize unregistered class ${S}`);let{klass:D}=Ii[S];if(!D)throw new Error(`can't deserialize unregistered class ${S}`);if(D.deserialize)return D.deserialize(R);let j=Object.create(D.prototype);for(let te of Object.keys(R)){if(te===\"$name\")continue;let ue=R[te];j[te]=Ii[S].shallow.indexOf(te)>=0?ue:qa(ue)}return j}class Cn{constructor(){this.first=!0}update(S,D){let j=Math.floor(S);return this.first?(this.first=!1,this.lastIntegerZoom=j,this.lastIntegerZoomTime=0,this.lastZoom=S,this.lastFloorZoom=j,!0):(this.lastFloorZoom>j?(this.lastIntegerZoom=j+1,this.lastIntegerZoomTime=D):this.lastFloorZoom<j&&(this.lastIntegerZoom=j,this.lastIntegerZoomTime=D),S!==this.lastZoom&&(this.lastZoom=S,this.lastFloorZoom=j,!0))}}let sn={\"Latin-1 Supplement\":R=>R>=128&&R<=255,\"Hangul Jamo\":R=>R>=4352&&R<=4607,Khmer:R=>R>=6016&&R<=6143,\"General Punctuation\":R=>R>=8192&&R<=8303,\"Letterlike Symbols\":R=>R>=8448&&R<=8527,\"Number Forms\":R=>R>=8528&&R<=8591,\"Miscellaneous Technical\":R=>R>=8960&&R<=9215,\"Control Pictures\":R=>R>=9216&&R<=9279,\"Optical Character Recognition\":R=>R>=9280&&R<=9311,\"Enclosed Alphanumerics\":R=>R>=9312&&R<=9471,\"Geometric Shapes\":R=>R>=9632&&R<=9727,\"Miscellaneous Symbols\":R=>R>=9728&&R<=9983,\"Miscellaneous Symbols and Arrows\":R=>R>=11008&&R<=11263,\"Ideographic Description Characters\":R=>R>=12272&&R<=12287,\"CJK Symbols and Punctuation\":R=>R>=12288&&R<=12351,Katakana:R=>R>=12448&&R<=12543,Kanbun:R=>R>=12688&&R<=12703,\"CJK Strokes\":R=>R>=12736&&R<=12783,\"Enclosed CJK Letters and Months\":R=>R>=12800&&R<=13055,\"CJK Compatibility\":R=>R>=13056&&R<=13311,\"Yijing Hexagram Symbols\":R=>R>=19904&&R<=19967,\"Private Use Area\":R=>R>=57344&&R<=63743,\"Vertical Forms\":R=>R>=65040&&R<=65055,\"CJK Compatibility Forms\":R=>R>=65072&&R<=65103,\"Small Form Variants\":R=>R>=65104&&R<=65135,\"Halfwidth and Fullwidth Forms\":R=>R>=65280&&R<=65519};function Ua(R){for(let S of R)if(Bo(S.charCodeAt(0)))return!0;return!1}function mo(R){for(let S of R)if(!Qo(S.charCodeAt(0)))return!1;return!0}function Xo(R){let S=R.map(D=>{try{return new RegExp(`\\\\p{sc=${D}}`,\"u\").source}catch(j){return null}}).filter(D=>D);return new RegExp(S.join(\"|\"),\"u\")}let Ts=Xo([\"Arab\",\"Dupl\",\"Mong\",\"Ougr\",\"Syrc\"]);function Qo(R){return!Ts.test(String.fromCodePoint(R))}let ys=Xo([\"Bopo\",\"Hani\",\"Hira\",\"Kana\",\"Kits\",\"Nshu\",\"Tang\",\"Yiii\"]);function Bo(R){return!(R!==746&&R!==747&&(R<4352||!(sn[\"CJK Compatibility Forms\"](R)&&!(R>=65097&&R<=65103)||sn[\"CJK Compatibility\"](R)||sn[\"CJK Strokes\"](R)||!(!sn[\"CJK Symbols and Punctuation\"](R)||R>=12296&&R<=12305||R>=12308&&R<=12319||R===12336)||sn[\"Enclosed CJK Letters and Months\"](R)||sn[\"Ideographic Description Characters\"](R)||sn.Kanbun(R)||sn.Katakana(R)&&R!==12540||!(!sn[\"Halfwidth and Fullwidth Forms\"](R)||R===65288||R===65289||R===65293||R>=65306&&R<=65310||R===65339||R===65341||R===65343||R>=65371&&R<=65503||R===65507||R>=65512&&R<=65519)||!(!sn[\"Small Form Variants\"](R)||R>=65112&&R<=65118||R>=65123&&R<=65126)||sn[\"Vertical Forms\"](R)||sn[\"Yijing Hexagram Symbols\"](R)||new RegExp(\"\\\\p{sc=Cans}\",\"u\").test(String.fromCodePoint(R))||new RegExp(\"\\\\p{sc=Hang}\",\"u\").test(String.fromCodePoint(R))||ys.test(String.fromCodePoint(R)))))}function yl(R){return!(Bo(R)||function(S){return!!(sn[\"Latin-1 Supplement\"](S)&&(S===167||S===169||S===174||S===177||S===188||S===189||S===190||S===215||S===247)||sn[\"General Punctuation\"](S)&&(S===8214||S===8224||S===8225||S===8240||S===8241||S===8251||S===8252||S===8258||S===8263||S===8264||S===8265||S===8273)||sn[\"Letterlike Symbols\"](S)||sn[\"Number Forms\"](S)||sn[\"Miscellaneous Technical\"](S)&&(S>=8960&&S<=8967||S>=8972&&S<=8991||S>=8996&&S<=9e3||S===9003||S>=9085&&S<=9114||S>=9150&&S<=9165||S===9167||S>=9169&&S<=9179||S>=9186&&S<=9215)||sn[\"Control Pictures\"](S)&&S!==9251||sn[\"Optical Character Recognition\"](S)||sn[\"Enclosed Alphanumerics\"](S)||sn[\"Geometric Shapes\"](S)||sn[\"Miscellaneous Symbols\"](S)&&!(S>=9754&&S<=9759)||sn[\"Miscellaneous Symbols and Arrows\"](S)&&(S>=11026&&S<=11055||S>=11088&&S<=11097||S>=11192&&S<=11243)||sn[\"CJK Symbols and Punctuation\"](S)||sn.Katakana(S)||sn[\"Private Use Area\"](S)||sn[\"CJK Compatibility Forms\"](S)||sn[\"Small Form Variants\"](S)||sn[\"Halfwidth and Fullwidth Forms\"](S)||S===8734||S===8756||S===8757||S>=9984&&S<=10087||S>=10102&&S<=10131||S===65532||S===65533)}(R))}let Gs=Xo([\"Adlm\",\"Arab\",\"Armi\",\"Avst\",\"Chrs\",\"Cprt\",\"Egyp\",\"Elym\",\"Gara\",\"Hatr\",\"Hebr\",\"Hung\",\"Khar\",\"Lydi\",\"Mand\",\"Mani\",\"Mend\",\"Merc\",\"Mero\",\"Narb\",\"Nbat\",\"Nkoo\",\"Orkh\",\"Palm\",\"Phli\",\"Phlp\",\"Phnx\",\"Prti\",\"Rohg\",\"Samr\",\"Sarb\",\"Sogo\",\"Syrc\",\"Thaa\",\"Todr\",\"Yezi\"]);function Rs(R){return Gs.test(String.fromCodePoint(R))}function ia(R,S){return!(!S&&Rs(R)||R>=2304&&R<=3583||R>=3840&&R<=4255||sn.Khmer(R))}function Ka(R){for(let S of R)if(Rs(S.charCodeAt(0)))return!0;return!1}let vs=new class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(R){this.pluginStatus=R.pluginStatus,this.pluginURL=R.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(R){this.applyArabicShaping=R.applyArabicShaping,this.processBidirectionalText=R.processBidirectionalText,this.processStyledBidirectionalText=R.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class Ko{constructor(S,D){this.zoom=S,D?(this.now=D.now,this.fadeDuration=D.fadeDuration,this.zoomHistory=D.zoomHistory,this.transition=D.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Cn,this.transition={})}isSupportedScript(S){return function(D,j){for(let te of D)if(!ia(te.charCodeAt(0),j))return!1;return!0}(S,vs.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let S=this.zoom,D=S-Math.floor(S),j=this.crossFadingFactor();return S>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:D+(1-D)*j}:{fromScale:.5,toScale:1,t:1-(1-j)*D}}}class iu{constructor(S,D){this.property=S,this.value=D,this.expression=function(j,te){if(Ch(j))return new Qs(j,te);if(Lc(j)){let ue=yu(j,te);if(ue.result===\"error\")throw new Error(ue.value.map(ve=>`${ve.key}: ${ve.message}`).join(\", \"));return ue.value}{let ue=j;return te.type===\"color\"&&typeof j==\"string\"?ue=Zt.parse(j):te.type!==\"padding\"||typeof j!=\"number\"&&!Array.isArray(j)?te.type===\"variableAnchorOffsetCollection\"&&Array.isArray(j)&&(ue=Si.parse(j)):ue=Vr.parse(j),{kind:\"constant\",evaluate:()=>ue}}}(D===void 0?S.specification.default:D,S.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(S,D,j){return this.property.possiblyEvaluate(this,S,D,j)}}class Ru{constructor(S){this.property=S,this.value=new iu(S,void 0)}transitioned(S,D){return new mf(this.property,this.value,D,L({},S.transition,this.transition),S.now)}untransitioned(){return new mf(this.property,this.value,null,{},0)}}class ac{constructor(S){this._properties=S,this._values=Object.create(S.defaultTransitionablePropertyValues)}getValue(S){return p(this._values[S].value.value)}setValue(S,D){Object.prototype.hasOwnProperty.call(this._values,S)||(this._values[S]=new Ru(this._values[S].property)),this._values[S].value=new iu(this._values[S].property,D===null?void 0:p(D))}getTransition(S){return p(this._values[S].transition)}setTransition(S,D){Object.prototype.hasOwnProperty.call(this._values,S)||(this._values[S]=new Ru(this._values[S].property)),this._values[S].transition=p(D)||void 0}serialize(){let S={};for(let D of Object.keys(this._values)){let j=this.getValue(D);j!==void 0&&(S[D]=j);let te=this.getTransition(D);te!==void 0&&(S[`${D}-transition`]=te)}return S}transitioned(S,D){let j=new bu(this._properties);for(let te of Object.keys(this._values))j._values[te]=this._values[te].transitioned(S,D._values[te]);return j}untransitioned(){let S=new bu(this._properties);for(let D of Object.keys(this._values))S._values[D]=this._values[D].untransitioned();return S}}class mf{constructor(S,D,j,te,ue){this.property=S,this.value=D,this.begin=ue+te.delay||0,this.end=this.begin+te.duration||0,S.specification.transition&&(te.delay||te.duration)&&(this.prior=j)}possiblyEvaluate(S,D,j){let te=S.now||0,ue=this.value.possiblyEvaluate(S,D,j),ve=this.prior;if(ve){if(te>this.end)return this.prior=null,ue;if(this.value.isDataDriven())return this.prior=null,ue;if(te<this.begin)return ve.possiblyEvaluate(S,D,j);{let De=(te-this.begin)/(this.end-this.begin);return this.property.interpolate(ve.possiblyEvaluate(S,D,j),ue,function(Ze){if(Ze<=0)return 0;if(Ze>=1)return 1;let at=Ze*Ze,Tt=at*Ze;return 4*(Ze<.5?Tt:3*(Ze-at)+Tt-.75)}(De))}}return ue}}class bu{constructor(S){this._properties=S,this._values=Object.create(S.defaultTransitioningPropertyValues)}possiblyEvaluate(S,D,j){let te=new Dc(this._properties);for(let ue of Object.keys(this._values))te._values[ue]=this._values[ue].possiblyEvaluate(S,D,j);return te}hasTransition(){for(let S of Object.keys(this._values))if(this._values[S].prior)return!0;return!1}}class Kc{constructor(S){this._properties=S,this._values=Object.create(S.defaultPropertyValues)}hasValue(S){return this._values[S].value!==void 0}getValue(S){return p(this._values[S].value)}setValue(S,D){this._values[S]=new iu(this._values[S].property,D===null?void 0:p(D))}serialize(){let S={};for(let D of Object.keys(this._values)){let j=this.getValue(D);j!==void 0&&(S[D]=j)}return S}possiblyEvaluate(S,D,j){let te=new Dc(this._properties);for(let ue of Object.keys(this._values))te._values[ue]=this._values[ue].possiblyEvaluate(S,D,j);return te}}class Du{constructor(S,D,j){this.property=S,this.value=D,this.parameters=j}isConstant(){return this.value.kind===\"constant\"}constantOr(S){return this.value.kind===\"constant\"?this.value.value:S}evaluate(S,D,j,te){return this.property.evaluate(this.value,this.parameters,S,D,j,te)}}class Dc{constructor(S){this._properties=S,this._values=Object.create(S.defaultPossiblyEvaluatedValues)}get(S){return this._values[S]}}class Da{constructor(S){this.specification=S}possiblyEvaluate(S,D){if(S.isDataDriven())throw new Error(\"Value should not be data driven\");return S.expression.evaluate(D)}interpolate(S,D,j){let te=Mo[this.specification.type];return te?te(S,D,j):S}}class eo{constructor(S,D){this.specification=S,this.overrides=D}possiblyEvaluate(S,D,j,te){return new Du(this,S.expression.kind===\"constant\"||S.expression.kind===\"camera\"?{kind:\"constant\",value:S.expression.evaluate(D,null,{},j,te)}:S.expression,D)}interpolate(S,D,j){if(S.value.kind!==\"constant\"||D.value.kind!==\"constant\")return S;if(S.value.value===void 0||D.value.value===void 0)return new Du(this,{kind:\"constant\",value:void 0},S.parameters);let te=Mo[this.specification.type];if(te){let ue=te(S.value.value,D.value.value,j);return new Du(this,{kind:\"constant\",value:ue},S.parameters)}return S}evaluate(S,D,j,te,ue,ve){return S.kind===\"constant\"?S.value:S.evaluate(D,j,te,ue,ve)}}class Jc extends eo{possiblyEvaluate(S,D,j,te){if(S.value===void 0)return new Du(this,{kind:\"constant\",value:void 0},D);if(S.expression.kind===\"constant\"){let ue=S.expression.evaluate(D,null,{},j,te),ve=S.property.specification.type===\"resolvedImage\"&&typeof ue!=\"string\"?ue.name:ue,De=this._calculate(ve,ve,ve,D);return new Du(this,{kind:\"constant\",value:De},D)}if(S.expression.kind===\"camera\"){let ue=this._calculate(S.expression.evaluate({zoom:D.zoom-1}),S.expression.evaluate({zoom:D.zoom}),S.expression.evaluate({zoom:D.zoom+1}),D);return new Du(this,{kind:\"constant\",value:ue},D)}return new Du(this,S.expression,D)}evaluate(S,D,j,te,ue,ve){if(S.kind===\"source\"){let De=S.evaluate(D,j,te,ue,ve);return this._calculate(De,De,De,D)}return S.kind===\"composite\"?this._calculate(S.evaluate({zoom:Math.floor(D.zoom)-1},j,te),S.evaluate({zoom:Math.floor(D.zoom)},j,te),S.evaluate({zoom:Math.floor(D.zoom)+1},j,te),D):S.value}_calculate(S,D,j,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:S,to:D}:{from:j,to:D}}interpolate(S){return S}}class yc{constructor(S){this.specification=S}possiblyEvaluate(S,D,j,te){if(S.value!==void 0){if(S.expression.kind===\"constant\"){let ue=S.expression.evaluate(D,null,{},j,te);return this._calculate(ue,ue,ue,D)}return this._calculate(S.expression.evaluate(new Ko(Math.floor(D.zoom-1),D)),S.expression.evaluate(new Ko(Math.floor(D.zoom),D)),S.expression.evaluate(new Ko(Math.floor(D.zoom+1),D)),D)}}_calculate(S,D,j,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:S,to:D}:{from:j,to:D}}interpolate(S){return S}}class _c{constructor(S){this.specification=S}possiblyEvaluate(S,D,j,te){return!!S.expression.evaluate(D,null,{},j,te)}interpolate(){return!1}}class le{constructor(S){this.properties=S,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let D in S){let j=S[D];j.specification.overridable&&this.overridableProperties.push(D);let te=this.defaultPropertyValues[D]=new iu(j,void 0),ue=this.defaultTransitionablePropertyValues[D]=new Ru(j);this.defaultTransitioningPropertyValues[D]=ue.untransitioned(),this.defaultPossiblyEvaluatedValues[D]=te.possiblyEvaluate({})}}}mi(\"DataDrivenProperty\",eo),mi(\"DataConstantProperty\",Da),mi(\"CrossFadedDataDrivenProperty\",Jc),mi(\"CrossFadedProperty\",yc),mi(\"ColorRampProperty\",_c);let w=\"-transition\";class B extends Re{constructor(S,D){if(super(),this.id=S.id,this.type=S.type,this._featureFilter={filter:()=>!0,needGeometry:!1},S.type!==\"custom\"&&(this.metadata=S.metadata,this.minzoom=S.minzoom,this.maxzoom=S.maxzoom,S.type!==\"background\"&&(this.source=S.source,this.sourceLayer=S[\"source-layer\"],this.filter=S.filter),D.layout&&(this._unevaluatedLayout=new Kc(D.layout)),D.paint)){this._transitionablePaint=new ac(D.paint);for(let j in S.paint)this.setPaintProperty(j,S.paint[j],{validate:!1});for(let j in S.layout)this.setLayoutProperty(j,S.layout[j],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Dc(D.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(S){return S===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(S)}setLayoutProperty(S,D,j={}){D!=null&&this._validate(hn,`layers.${this.id}.layout.${S}`,S,D,j)||(S!==\"visibility\"?this._unevaluatedLayout.setValue(S,D):this.visibility=D)}getPaintProperty(S){return S.endsWith(w)?this._transitionablePaint.getTransition(S.slice(0,-11)):this._transitionablePaint.getValue(S)}setPaintProperty(S,D,j={}){if(D!=null&&this._validate(Xi,`layers.${this.id}.paint.${S}`,S,D,j))return!1;if(S.endsWith(w))return this._transitionablePaint.setTransition(S.slice(0,-11),D||void 0),!1;{let te=this._transitionablePaint._values[S],ue=te.property.specification[\"property-type\"]===\"cross-faded-data-driven\",ve=te.value.isDataDriven(),De=te.value;this._transitionablePaint.setValue(S,D),this._handleSpecialPaintPropertyUpdate(S);let Ze=this._transitionablePaint._values[S].value;return Ze.isDataDriven()||ve||ue||this._handleOverridablePaintPropertyUpdate(S,De,Ze)}}_handleSpecialPaintPropertyUpdate(S){}_handleOverridablePaintPropertyUpdate(S,D,j){return!1}isHidden(S){return!!(this.minzoom&&S<this.minzoom)||!!(this.maxzoom&&S>=this.maxzoom)||this.visibility===\"none\"}updateTransitions(S){this._transitioningPaint=this._transitionablePaint.transitioned(S,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(S,D){S.getCrossfadeParameters&&(this._crossfadeParameters=S.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(S,void 0,D)),this.paint=this._transitioningPaint.possiblyEvaluate(S,void 0,D)}serialize(){let S={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(S.layout=S.layout||{},S.layout.visibility=this.visibility),M(S,(D,j)=>!(D===void 0||j===\"layout\"&&!Object.keys(D).length||j===\"paint\"&&!Object.keys(D).length))}_validate(S,D,j,te,ue={}){return(!ue||ue.validate!==!1)&&Ti(this,S.call(fi,{key:D,layerType:this.type,objectKey:j,value:te,styleSpec:ce,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let S in this.paint._values){let D=this.paint.get(S);if(D instanceof Du&&Cu(D.property.specification)&&(D.value.kind===\"source\"||D.value.kind===\"composite\")&&D.value.isStateDependent)return!0}return!1}}let Q={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class ee{constructor(S,D){this._structArray=S,this._pos1=D*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class se{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(S,D){return S._trim(),D&&(S.isTransferred=!0,D.push(S.arrayBuffer)),{length:S.length,arrayBuffer:S.arrayBuffer}}static deserialize(S){let D=Object.create(this.prototype);return D.arrayBuffer=S.arrayBuffer,D.length=S.length,D.capacity=S.arrayBuffer.byteLength/D.bytesPerElement,D._refreshViews(),D}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(S){this.reserve(S),this.length=S}reserve(S){if(S>this.capacity){this.capacity=Math.max(S,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let D=this.uint8;this._refreshViews(),D&&this.uint8.set(D)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function qe(R,S=1){let D=0,j=0;return{members:R.map(te=>{let ue=Q[te.type].BYTES_PER_ELEMENT,ve=D=je(D,Math.max(S,ue)),De=te.components||1;return j=Math.max(j,ue),D+=ue*De,{name:te.name,type:te.type,components:De,offset:ve}}),size:je(D,Math.max(j,S)),alignment:S}}function je(R,S){return Math.ceil(R/S)*S}class it extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.int16[te+0]=D,this.int16[te+1]=j,S}}it.prototype.bytesPerElement=4,mi(\"StructArrayLayout2i4\",it);class yt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.int16[ue+0]=D,this.int16[ue+1]=j,this.int16[ue+2]=te,S}}yt.prototype.bytesPerElement=6,mi(\"StructArrayLayout3i6\",yt);class Ot extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te){let ue=this.length;return this.resize(ue+1),this.emplace(ue,S,D,j,te)}emplace(S,D,j,te,ue){let ve=4*S;return this.int16[ve+0]=D,this.int16[ve+1]=j,this.int16[ve+2]=te,this.int16[ve+3]=ue,S}}Ot.prototype.bytesPerElement=8,mi(\"StructArrayLayout4i8\",Ot);class Nt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=6*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.int16[Ze+2]=te,this.int16[Ze+3]=ue,this.int16[Ze+4]=ve,this.int16[Ze+5]=De,S}}Nt.prototype.bytesPerElement=12,mi(\"StructArrayLayout2i4i12\",Nt);class hr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=4*S,at=8*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.uint8[at+4]=te,this.uint8[at+5]=ue,this.uint8[at+6]=ve,this.uint8[at+7]=De,S}}hr.prototype.bytesPerElement=8,mi(\"StructArrayLayout2i4ub8\",hr);class Sr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.float32[te+0]=D,this.float32[te+1]=j,S}}Sr.prototype.bytesPerElement=8,mi(\"StructArrayLayout2f8\",Sr);class he extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt){let Ft=this.length;return this.resize(Ft+1),this.emplace(Ft,S,D,j,te,ue,ve,De,Ze,at,Tt)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft){let Qt=10*S;return this.uint16[Qt+0]=D,this.uint16[Qt+1]=j,this.uint16[Qt+2]=te,this.uint16[Qt+3]=ue,this.uint16[Qt+4]=ve,this.uint16[Qt+5]=De,this.uint16[Qt+6]=Ze,this.uint16[Qt+7]=at,this.uint16[Qt+8]=Tt,this.uint16[Qt+9]=Ft,S}}he.prototype.bytesPerElement=20,mi(\"StructArrayLayout10ui20\",he);class be extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt){let sr=this.length;return this.resize(sr+1),this.emplace(sr,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr){let Tr=12*S;return this.int16[Tr+0]=D,this.int16[Tr+1]=j,this.int16[Tr+2]=te,this.int16[Tr+3]=ue,this.uint16[Tr+4]=ve,this.uint16[Tr+5]=De,this.uint16[Tr+6]=Ze,this.uint16[Tr+7]=at,this.int16[Tr+8]=Tt,this.int16[Tr+9]=Ft,this.int16[Tr+10]=Qt,this.int16[Tr+11]=sr,S}}be.prototype.bytesPerElement=24,mi(\"StructArrayLayout4i4ui4i24\",be);class Pe extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.float32[ue+0]=D,this.float32[ue+1]=j,this.float32[ue+2]=te,S}}Pe.prototype.bytesPerElement=12,mi(\"StructArrayLayout3f12\",Pe);class Oe extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.uint32[1*S+0]=D,S}}Oe.prototype.bytesPerElement=4,mi(\"StructArrayLayout1ul4\",Oe);class Je extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at){let Tt=this.length;return this.resize(Tt+1),this.emplace(Tt,S,D,j,te,ue,ve,De,Ze,at)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt){let Ft=10*S,Qt=5*S;return this.int16[Ft+0]=D,this.int16[Ft+1]=j,this.int16[Ft+2]=te,this.int16[Ft+3]=ue,this.int16[Ft+4]=ve,this.int16[Ft+5]=De,this.uint32[Qt+3]=Ze,this.uint16[Ft+8]=at,this.uint16[Ft+9]=Tt,S}}Je.prototype.bytesPerElement=20,mi(\"StructArrayLayout6i1ul2ui20\",Je);class He extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=6*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.int16[Ze+2]=te,this.int16[Ze+3]=ue,this.int16[Ze+4]=ve,this.int16[Ze+5]=De,S}}He.prototype.bytesPerElement=12,mi(\"StructArrayLayout2i2i2i12\",He);class et extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue){let ve=this.length;return this.resize(ve+1),this.emplace(ve,S,D,j,te,ue)}emplace(S,D,j,te,ue,ve){let De=4*S,Ze=8*S;return this.float32[De+0]=D,this.float32[De+1]=j,this.float32[De+2]=te,this.int16[Ze+6]=ue,this.int16[Ze+7]=ve,S}}et.prototype.bytesPerElement=16,mi(\"StructArrayLayout2f1f2i16\",et);class Mt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=16*S,at=4*S,Tt=8*S;return this.uint8[Ze+0]=D,this.uint8[Ze+1]=j,this.float32[at+1]=te,this.float32[at+2]=ue,this.int16[Tt+6]=ve,this.int16[Tt+7]=De,S}}Mt.prototype.bytesPerElement=16,mi(\"StructArrayLayout2ub2f2i16\",Mt);class Dt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.uint16[ue+0]=D,this.uint16[ue+1]=j,this.uint16[ue+2]=te,S}}Dt.prototype.bytesPerElement=6,mi(\"StructArrayLayout3ui6\",Dt);class Ut extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni){let Di=this.length;return this.resize(Di+1),this.emplace(Di,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di){let pi=24*S,ki=12*S,Zi=48*S;return this.int16[pi+0]=D,this.int16[pi+1]=j,this.uint16[pi+2]=te,this.uint16[pi+3]=ue,this.uint32[ki+2]=ve,this.uint32[ki+3]=De,this.uint32[ki+4]=Ze,this.uint16[pi+10]=at,this.uint16[pi+11]=Tt,this.uint16[pi+12]=Ft,this.float32[ki+7]=Qt,this.float32[ki+8]=sr,this.uint8[Zi+36]=Tr,this.uint8[Zi+37]=Pr,this.uint8[Zi+38]=$r,this.uint32[ki+10]=ni,this.int16[pi+22]=Di,S}}Ut.prototype.bytesPerElement=48,mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ut);class tr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a){let Xa=this.length;return this.resize(Xa+1),this.emplace(Xa,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a,Xa){let Tn=32*S,bo=16*S;return this.int16[Tn+0]=D,this.int16[Tn+1]=j,this.int16[Tn+2]=te,this.int16[Tn+3]=ue,this.int16[Tn+4]=ve,this.int16[Tn+5]=De,this.int16[Tn+6]=Ze,this.int16[Tn+7]=at,this.uint16[Tn+8]=Tt,this.uint16[Tn+9]=Ft,this.uint16[Tn+10]=Qt,this.uint16[Tn+11]=sr,this.uint16[Tn+12]=Tr,this.uint16[Tn+13]=Pr,this.uint16[Tn+14]=$r,this.uint16[Tn+15]=ni,this.uint16[Tn+16]=Di,this.uint16[Tn+17]=pi,this.uint16[Tn+18]=ki,this.uint16[Tn+19]=Zi,this.uint16[Tn+20]=ta,this.uint16[Tn+21]=Va,this.uint16[Tn+22]=Io,this.uint32[bo+12]=La,this.float32[bo+13]=Hn,this.float32[bo+14]=lo,this.uint16[Tn+30]=$a,this.uint16[Tn+31]=Xa,S}}tr.prototype.bytesPerElement=64,mi(\"StructArrayLayout8i15ui1ul2f2ui64\",tr);class mr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.float32[1*S+0]=D,S}}mr.prototype.bytesPerElement=4,mi(\"StructArrayLayout1f4\",mr);class Rr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.uint16[6*S+0]=D,this.float32[ue+1]=j,this.float32[ue+2]=te,S}}Rr.prototype.bytesPerElement=12,mi(\"StructArrayLayout1ui2f12\",Rr);class zr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=4*S;return this.uint32[2*S+0]=D,this.uint16[ue+2]=j,this.uint16[ue+3]=te,S}}zr.prototype.bytesPerElement=8,mi(\"StructArrayLayout1ul2ui8\",zr);class Xr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.uint16[te+0]=D,this.uint16[te+1]=j,S}}Xr.prototype.bytesPerElement=4,mi(\"StructArrayLayout2ui4\",Xr);class di extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.uint16[1*S+0]=D,S}}di.prototype.bytesPerElement=2,mi(\"StructArrayLayout1ui2\",di);class Li extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te){let ue=this.length;return this.resize(ue+1),this.emplace(ue,S,D,j,te)}emplace(S,D,j,te,ue){let ve=4*S;return this.float32[ve+0]=D,this.float32[ve+1]=j,this.float32[ve+2]=te,this.float32[ve+3]=ue,S}}Li.prototype.bytesPerElement=16,mi(\"StructArrayLayout4f16\",Li);class Ci extends ee{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new u(this.anchorPointX,this.anchorPointY)}}Ci.prototype.size=20;class Qi extends Je{get(S){return new Ci(this,S)}}mi(\"CollisionBoxArray\",Qi);class Mn extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(S){this._structArray.uint8[this._pos1+37]=S}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(S){this._structArray.uint8[this._pos1+38]=S}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(S){this._structArray.uint32[this._pos4+10]=S}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Mn.prototype.size=48;class pa extends Ut{get(S){return new Mn(this,S)}}mi(\"PlacedSymbolArray\",pa);class ea extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(S){this._structArray.uint32[this._pos4+12]=S}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}ea.prototype.size=64;class Ga extends tr{get(S){return new ea(this,S)}}mi(\"SymbolInstanceArray\",Ga);class To extends mr{getoffsetX(S){return this.float32[1*S+0]}}mi(\"GlyphOffsetArray\",To);class Wa extends yt{getx(S){return this.int16[3*S+0]}gety(S){return this.int16[3*S+1]}gettileUnitDistanceFromAnchor(S){return this.int16[3*S+2]}}mi(\"SymbolLineVertexArray\",Wa);class co extends ee{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}co.prototype.size=12;class Ro extends Rr{get(S){return new co(this,S)}}mi(\"TextAnchorOffsetArray\",Ro);class Ds extends ee{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ds.prototype.size=8;class As extends zr{get(S){return new Ds(this,S)}}mi(\"FeatureIndexArray\",As);class yo extends it{}class po extends it{}class _l extends it{}class Vl extends Nt{}class Zu extends hr{}class cu extends Sr{}class el extends he{}class nu extends be{}class zc extends Pe{}class Dl extends Oe{}class zl extends He{}class Z extends Mt{}class oe extends Dt{}class we extends Xr{}let Be=qe([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:Ue}=Be;class We{constructor(S=[]){this.segments=S}prepareSegment(S,D,j,te){let ue=this.segments[this.segments.length-1];return S>We.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${We.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${S}`),(!ue||ue.vertexLength+S>We.MAX_VERTEX_ARRAY_LENGTH||ue.sortKey!==te)&&(ue={vertexOffset:D.length,primitiveOffset:j.length,vertexLength:0,primitiveLength:0},te!==void 0&&(ue.sortKey=te),this.segments.push(ue)),ue}get(){return this.segments}destroy(){for(let S of this.segments)for(let D in S.vaos)S.vaos[D].destroy()}static simpleSegment(S,D,j,te){return new We([{vertexOffset:S,primitiveOffset:D,vertexLength:j,primitiveLength:te,vaos:{},sortKey:0}])}}function wt(R,S){return 256*(R=k(Math.floor(R),0,255))+k(Math.floor(S),0,255)}We.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,mi(\"SegmentVector\",We);let tt=qe([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var zt={exports:{}},or={exports:{}};or.exports=function(R,S){var D,j,te,ue,ve,De,Ze,at;for(j=R.length-(D=3&R.length),te=S,ve=3432918353,De=461845907,at=0;at<j;)Ze=255&R.charCodeAt(at)|(255&R.charCodeAt(++at))<<8|(255&R.charCodeAt(++at))<<16|(255&R.charCodeAt(++at))<<24,++at,te=27492+(65535&(ue=5*(65535&(te=(te^=Ze=(65535&(Ze=(Ze=(65535&Ze)*ve+(((Ze>>>16)*ve&65535)<<16)&4294967295)<<15|Ze>>>17))*De+(((Ze>>>16)*De&65535)<<16)&4294967295)<<13|te>>>19))+((5*(te>>>16)&65535)<<16)&4294967295))+((58964+(ue>>>16)&65535)<<16);switch(Ze=0,D){case 3:Ze^=(255&R.charCodeAt(at+2))<<16;case 2:Ze^=(255&R.charCodeAt(at+1))<<8;case 1:te^=Ze=(65535&(Ze=(Ze=(65535&(Ze^=255&R.charCodeAt(at)))*ve+(((Ze>>>16)*ve&65535)<<16)&4294967295)<<15|Ze>>>17))*De+(((Ze>>>16)*De&65535)<<16)&4294967295}return te^=R.length,te=2246822507*(65535&(te^=te>>>16))+((2246822507*(te>>>16)&65535)<<16)&4294967295,te=3266489909*(65535&(te^=te>>>13))+((3266489909*(te>>>16)&65535)<<16)&4294967295,(te^=te>>>16)>>>0};var lr=or.exports,Dr={exports:{}};Dr.exports=function(R,S){for(var D,j=R.length,te=S^j,ue=0;j>=4;)D=1540483477*(65535&(D=255&R.charCodeAt(ue)|(255&R.charCodeAt(++ue))<<8|(255&R.charCodeAt(++ue))<<16|(255&R.charCodeAt(++ue))<<24))+((1540483477*(D>>>16)&65535)<<16),te=1540483477*(65535&te)+((1540483477*(te>>>16)&65535)<<16)^(D=1540483477*(65535&(D^=D>>>24))+((1540483477*(D>>>16)&65535)<<16)),j-=4,++ue;switch(j){case 3:te^=(255&R.charCodeAt(ue+2))<<16;case 2:te^=(255&R.charCodeAt(ue+1))<<8;case 1:te=1540483477*(65535&(te^=255&R.charCodeAt(ue)))+((1540483477*(te>>>16)&65535)<<16)}return te=1540483477*(65535&(te^=te>>>13))+((1540483477*(te>>>16)&65535)<<16),(te^=te>>>15)>>>0};var Ir=lr,oi=Dr.exports;zt.exports=Ir,zt.exports.murmur3=Ir,zt.exports.murmur2=oi;var ui=o(zt.exports);class qr{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(S,D,j,te){this.ids.push(Kr(S)),this.positions.push(D,j,te)}getPositions(S){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let D=Kr(S),j=0,te=this.ids.length-1;for(;j<te;){let ve=j+te>>1;this.ids[ve]>=D?te=ve:j=ve+1}let ue=[];for(;this.ids[j]===D;)ue.push({index:this.positions[3*j],start:this.positions[3*j+1],end:this.positions[3*j+2]}),j++;return ue}static serialize(S,D){let j=new Float64Array(S.ids),te=new Uint32Array(S.positions);return ii(j,te,0,j.length-1),D&&D.push(j.buffer,te.buffer),{ids:j,positions:te}}static deserialize(S){let D=new qr;return D.ids=S.ids,D.positions=S.positions,D.indexed=!0,D}}function Kr(R){let S=+R;return!isNaN(S)&&S<=Number.MAX_SAFE_INTEGER?S:ui(String(R))}function ii(R,S,D,j){for(;D<j;){let te=R[D+j>>1],ue=D-1,ve=j+1;for(;;){do ue++;while(R[ue]<te);do ve--;while(R[ve]>te);if(ue>=ve)break;vi(R,ue,ve),vi(S,3*ue,3*ve),vi(S,3*ue+1,3*ve+1),vi(S,3*ue+2,3*ve+2)}ve-D<j-ve?(ii(R,S,D,ve),D=ve+1):(ii(R,S,ve+1,j),j=ve)}}function vi(R,S,D){let j=R[S];R[S]=R[D],R[D]=j}mi(\"FeaturePositionMap\",qr);class ci{constructor(S,D){this.gl=S.gl,this.location=D}}class Jr extends ci{constructor(S,D){super(S,D),this.current=0}set(S){this.current!==S&&(this.current=S,this.gl.uniform1f(this.location,S))}}class un extends ci{constructor(S,D){super(S,D),this.current=[0,0,0,0]}set(S){S[0]===this.current[0]&&S[1]===this.current[1]&&S[2]===this.current[2]&&S[3]===this.current[3]||(this.current=S,this.gl.uniform4f(this.location,S[0],S[1],S[2],S[3]))}}class dn extends ci{constructor(S,D){super(S,D),this.current=Zt.transparent}set(S){S.r===this.current.r&&S.g===this.current.g&&S.b===this.current.b&&S.a===this.current.a||(this.current=S,this.gl.uniform4f(this.location,S.r,S.g,S.b,S.a))}}let En=new Float32Array(16);function Nn(R){return[wt(255*R.r,255*R.g),wt(255*R.b,255*R.a)]}class ga{constructor(S,D,j){this.value=S,this.uniformNames=D.map(te=>`u_${te}`),this.type=j}setUniform(S,D,j){S.set(j.constantOr(this.value))}getBinding(S,D,j){return this.type===\"color\"?new dn(S,D):new Jr(S,D)}}class ya{constructor(S,D){this.uniformNames=D.map(j=>`u_${j}`),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(S,D){this.pixelRatioFrom=D.pixelRatio,this.pixelRatioTo=S.pixelRatio,this.patternFrom=D.tlbr,this.patternTo=S.tlbr}setUniform(S,D,j,te){let ue=te===\"u_pattern_to\"?this.patternTo:te===\"u_pattern_from\"?this.patternFrom:te===\"u_pixel_ratio_to\"?this.pixelRatioTo:te===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;ue&&S.set(ue)}getBinding(S,D,j){return j.substr(0,9)===\"u_pattern\"?new un(S,D):new Jr(S,D)}}class so{constructor(S,D,j,te){this.expression=S,this.type=j,this.maxValue=0,this.paintVertexAttributes=D.map(ue=>({name:`a_${ue}`,type:\"Float32\",components:j===\"color\"?2:1,offset:0})),this.paintVertexArray=new te}populatePaintArray(S,D,j,te,ue){let ve=this.paintVertexArray.length,De=this.expression.evaluate(new Ko(0),D,{},te,[],ue);this.paintVertexArray.resize(S),this._setPaintValue(ve,S,De)}updatePaintArray(S,D,j,te){let ue=this.expression.evaluate({zoom:0},j,te);this._setPaintValue(S,D,ue)}_setPaintValue(S,D,j){if(this.type===\"color\"){let te=Nn(j);for(let ue=S;ue<D;ue++)this.paintVertexArray.emplace(ue,te[0],te[1])}else{for(let te=S;te<D;te++)this.paintVertexArray.emplace(te,j);this.maxValue=Math.max(this.maxValue,Math.abs(j))}}upload(S){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=S.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class wa{constructor(S,D,j,te,ue,ve){this.expression=S,this.uniformNames=D.map(De=>`u_${De}_t`),this.type=j,this.useIntegerZoom=te,this.zoom=ue,this.maxValue=0,this.paintVertexAttributes=D.map(De=>({name:`a_${De}`,type:\"Float32\",components:j===\"color\"?4:2,offset:0})),this.paintVertexArray=new ve}populatePaintArray(S,D,j,te,ue){let ve=this.expression.evaluate(new Ko(this.zoom),D,{},te,[],ue),De=this.expression.evaluate(new Ko(this.zoom+1),D,{},te,[],ue),Ze=this.paintVertexArray.length;this.paintVertexArray.resize(S),this._setPaintValue(Ze,S,ve,De)}updatePaintArray(S,D,j,te){let ue=this.expression.evaluate({zoom:this.zoom},j,te),ve=this.expression.evaluate({zoom:this.zoom+1},j,te);this._setPaintValue(S,D,ue,ve)}_setPaintValue(S,D,j,te){if(this.type===\"color\"){let ue=Nn(j),ve=Nn(te);for(let De=S;De<D;De++)this.paintVertexArray.emplace(De,ue[0],ue[1],ve[0],ve[1])}else{for(let ue=S;ue<D;ue++)this.paintVertexArray.emplace(ue,j,te);this.maxValue=Math.max(this.maxValue,Math.abs(j),Math.abs(te))}}upload(S){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=S.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(S,D){let j=this.useIntegerZoom?Math.floor(D.zoom):D.zoom,te=k(this.expression.interpolationFactor(j,this.zoom,this.zoom+1),0,1);S.set(te)}getBinding(S,D,j){return new Jr(S,D)}}class io{constructor(S,D,j,te,ue,ve){this.expression=S,this.type=D,this.useIntegerZoom=j,this.zoom=te,this.layerId=ve,this.zoomInPaintVertexArray=new ue,this.zoomOutPaintVertexArray=new ue}populatePaintArray(S,D,j){let te=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(S),this.zoomOutPaintVertexArray.resize(S),this._setPaintValues(te,S,D.patterns&&D.patterns[this.layerId],j)}updatePaintArray(S,D,j,te,ue){this._setPaintValues(S,D,j.patterns&&j.patterns[this.layerId],ue)}_setPaintValues(S,D,j,te){if(!te||!j)return;let{min:ue,mid:ve,max:De}=j,Ze=te[ue],at=te[ve],Tt=te[De];if(Ze&&at&&Tt)for(let Ft=S;Ft<D;Ft++)this.zoomInPaintVertexArray.emplace(Ft,at.tl[0],at.tl[1],at.br[0],at.br[1],Ze.tl[0],Ze.tl[1],Ze.br[0],Ze.br[1],at.pixelRatio,Ze.pixelRatio),this.zoomOutPaintVertexArray.emplace(Ft,at.tl[0],at.tl[1],at.br[0],at.br[1],Tt.tl[0],Tt.tl[1],Tt.br[0],Tt.br[1],at.pixelRatio,Tt.pixelRatio)}upload(S){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=S.createVertexBuffer(this.zoomInPaintVertexArray,tt.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=S.createVertexBuffer(this.zoomOutPaintVertexArray,tt.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Ss{constructor(S,D,j){this.binders={},this._buffers=[];let te=[];for(let ue in S.paint._values){if(!j(ue))continue;let ve=S.paint.get(ue);if(!(ve instanceof Du&&Cu(ve.property.specification)))continue;let De=Ns(ue,S.type),Ze=ve.value,at=ve.property.specification.type,Tt=ve.property.useIntegerZoom,Ft=ve.property.specification[\"property-type\"],Qt=Ft===\"cross-faded\"||Ft===\"cross-faded-data-driven\";if(Ze.kind===\"constant\")this.binders[ue]=Qt?new ya(Ze.value,De):new ga(Ze.value,De,at),te.push(`/u_${ue}`);else if(Ze.kind===\"source\"||Qt){let sr=pn(ue,at,\"source\");this.binders[ue]=Qt?new io(Ze,at,Tt,D,sr,S.id):new so(Ze,De,at,sr),te.push(`/a_${ue}`)}else{let sr=pn(ue,at,\"composite\");this.binders[ue]=new wa(Ze,De,at,Tt,D,sr),te.push(`/z_${ue}`)}}this.cacheKey=te.sort().join(\"\")}getMaxValue(S){let D=this.binders[S];return D instanceof so||D instanceof wa?D.maxValue:0}populatePaintArrays(S,D,j,te,ue){for(let ve in this.binders){let De=this.binders[ve];(De instanceof so||De instanceof wa||De instanceof io)&&De.populatePaintArray(S,D,j,te,ue)}}setConstantPatternPositions(S,D){for(let j in this.binders){let te=this.binders[j];te instanceof ya&&te.setConstantPatternPositions(S,D)}}updatePaintArrays(S,D,j,te,ue){let ve=!1;for(let De in S){let Ze=D.getPositions(De);for(let at of Ze){let Tt=j.feature(at.index);for(let Ft in this.binders){let Qt=this.binders[Ft];if((Qt instanceof so||Qt instanceof wa||Qt instanceof io)&&Qt.expression.isStateDependent===!0){let sr=te.paint.get(Ft);Qt.expression=sr.value,Qt.updatePaintArray(at.start,at.end,Tt,S[De],ue),ve=!0}}}}return ve}defines(){let S=[];for(let D in this.binders){let j=this.binders[D];(j instanceof ga||j instanceof ya)&&S.push(...j.uniformNames.map(te=>`#define HAS_UNIFORM_${te}`))}return S}getBinderAttributes(){let S=[];for(let D in this.binders){let j=this.binders[D];if(j instanceof so||j instanceof wa)for(let te=0;te<j.paintVertexAttributes.length;te++)S.push(j.paintVertexAttributes[te].name);else if(j instanceof io)for(let te=0;te<tt.members.length;te++)S.push(tt.members[te].name)}return S}getBinderUniforms(){let S=[];for(let D in this.binders){let j=this.binders[D];if(j instanceof ga||j instanceof ya||j instanceof wa)for(let te of j.uniformNames)S.push(te)}return S}getPaintVertexBuffers(){return this._buffers}getUniforms(S,D){let j=[];for(let te in this.binders){let ue=this.binders[te];if(ue instanceof ga||ue instanceof ya||ue instanceof wa){for(let ve of ue.uniformNames)if(D[ve]){let De=ue.getBinding(S,D[ve],ve);j.push({name:ve,property:te,binding:De})}}}return j}setUniforms(S,D,j,te){for(let{name:ue,property:ve,binding:De}of D)this.binders[ve].setUniform(De,te,j.get(ve),ue)}updatePaintBuffers(S){this._buffers=[];for(let D in this.binders){let j=this.binders[D];if(S&&j instanceof io){let te=S.fromScale===2?j.zoomInPaintVertexBuffer:j.zoomOutPaintVertexBuffer;te&&this._buffers.push(te)}else(j instanceof so||j instanceof wa)&&j.paintVertexBuffer&&this._buffers.push(j.paintVertexBuffer)}}upload(S){for(let D in this.binders){let j=this.binders[D];(j instanceof so||j instanceof wa||j instanceof io)&&j.upload(S)}this.updatePaintBuffers()}destroy(){for(let S in this.binders){let D=this.binders[S];(D instanceof so||D instanceof wa||D instanceof io)&&D.destroy()}}}class _s{constructor(S,D,j=()=>!0){this.programConfigurations={};for(let te of S)this.programConfigurations[te.id]=new Ss(te,D,j);this.needsUpload=!1,this._featureMap=new qr,this._bufferOffset=0}populatePaintArrays(S,D,j,te,ue,ve){for(let De in this.programConfigurations)this.programConfigurations[De].populatePaintArrays(S,D,te,ue,ve);D.id!==void 0&&this._featureMap.add(D.id,j,this._bufferOffset,S),this._bufferOffset=S,this.needsUpload=!0}updatePaintArrays(S,D,j,te){for(let ue of j)this.needsUpload=this.programConfigurations[ue.id].updatePaintArrays(S,this._featureMap,D,ue,te)||this.needsUpload}get(S){return this.programConfigurations[S]}upload(S){if(this.needsUpload){for(let D in this.programConfigurations)this.programConfigurations[D].upload(S);this.needsUpload=!1}}destroy(){for(let S in this.programConfigurations)this.programConfigurations[S].destroy()}}function Ns(R,S){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[R]||[R.replace(`${S}-`,\"\").replace(/-/g,\"_\")]}function pn(R,S,D){let 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j=S[0],te=S[1],ue=S[2],ve=S[3],De=S[4],Ze=S[5],at=S[6],Tt=S[7],Ft=S[8],Qt=S[9],sr=S[10],Tr=S[11],Pr=S[12],$r=S[13],ni=S[14],Di=S[15],pi=D[0],ki=D[1],Zi=D[2],ta=D[3];return R[0]=pi*j+ki*De+Zi*Ft+ta*Pr,R[1]=pi*te+ki*Ze+Zi*Qt+ta*$r,R[2]=pi*ue+ki*at+Zi*sr+ta*ni,R[3]=pi*ve+ki*Tt+Zi*Tr+ta*Di,R[4]=(pi=D[4])*j+(ki=D[5])*De+(Zi=D[6])*Ft+(ta=D[7])*Pr,R[5]=pi*te+ki*Ze+Zi*Qt+ta*$r,R[6]=pi*ue+ki*at+Zi*sr+ta*ni,R[7]=pi*ve+ki*Tt+Zi*Tr+ta*Di,R[8]=(pi=D[8])*j+(ki=D[9])*De+(Zi=D[10])*Ft+(ta=D[11])*Pr,R[9]=pi*te+ki*Ze+Zi*Qt+ta*$r,R[10]=pi*ue+ki*at+Zi*sr+ta*ni,R[11]=pi*ve+ki*Tt+Zi*Tr+ta*Di,R[12]=(pi=D[12])*j+(ki=D[13])*De+(Zi=D[14])*Ft+(ta=D[15])*Pr,R[13]=pi*te+ki*Ze+Zi*Qt+ta*$r,R[14]=pi*ue+ki*at+Zi*sr+ta*ni,R[15]=pi*ve+ki*Tt+Zi*Tr+ta*Di,R}Math.hypot||(Math.hypot=function(){for(var R=0,S=arguments.length;S--;)R+=arguments[S]*arguments[S];return Math.sqrt(R)});var ca,Kn=gn;function Za(R,S,D){var j=S[0],te=S[1],ue=S[2],ve=S[3];return 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De=te.x,Ze=ue.x,at=ve.x,Tt=te.y,Ft=ue.y,Qt=ve.y,sr=De<Ze?De<at?De:at:Ze<at?Ze:at,Tr=Tt<Ft?Tt<Qt?Tt:Qt:Ft<Qt?Ft:Qt,Pr=De>Ze?De>at?De:at:Ze>at?Ze:at,$r=Tt>Ft?Tt>Qt?Tt:Qt:Ft>Qt?Ft:Qt,ni=z(sr,Tr,S,D,j),Di=z(Pr,$r,S,D,j),pi=R.prevZ,ki=R.nextZ;for(;pi&&pi.z>=ni&&ki&&ki.z<=Di;){if(pi.x>=sr&&pi.x<=Pr&&pi.y>=Tr&&pi.y<=$r&&pi!==te&&pi!==ve&&O(De,Tt,Ze,Ft,at,Qt,pi.x,pi.y)&&pe(pi.prev,pi,pi.next)>=0||(pi=pi.prevZ,ki.x>=sr&&ki.x<=Pr&&ki.y>=Tr&&ki.y<=$r&&ki!==te&&ki!==ve&&O(De,Tt,Ze,Ft,at,Qt,ki.x,ki.y)&&pe(ki.prev,ki,ki.next)>=0))return!1;ki=ki.nextZ}for(;pi&&pi.z>=ni;){if(pi.x>=sr&&pi.x<=Pr&&pi.y>=Tr&&pi.y<=$r&&pi!==te&&pi!==ve&&O(De,Tt,Ze,Ft,at,Qt,pi.x,pi.y)&&pe(pi.prev,pi,pi.next)>=0)return!1;pi=pi.prevZ}for(;ki&&ki.z<=Di;){if(ki.x>=sr&&ki.x<=Pr&&ki.y>=Tr&&ki.y<=$r&&ki!==te&&ki!==ve&&O(De,Tt,Ze,Ft,at,Qt,ki.x,ki.y)&&pe(ki.prev,ki,ki.next)>=0)return!1;ki=ki.nextZ}return!0}function ef(R,S){let D=R;do{let j=D.prev,te=D.next.next;!de(j,te)&&Ie(j,D,D.next,te)&&Kt(j,te)&&Kt(te,j)&&(S.push(j.i,D.i,te.i),vt(D),vt(D.next),D=R=te),D=D.next}while(D!==R);return wc(D)}function ls(R,S,D,j,te,ue){let ve=R;do{let De=ve.next.next;for(;De!==ve.prev;){if(ve.i!==De.i&&$(ve,De)){let Ze=ir(ve,De);return ve=wc(ve,ve.next),Ze=wc(Ze,Ze.next),yf(ve,S,D,j,te,ue,0),void yf(Ze,S,D,j,te,ue,0)}De=De.next}ve=ve.next}while(ve!==R)}function _f(R,S){return R.x-S.x}function ns(R,S){let D=function(te,ue){let ve=ue,De=te.x,Ze=te.y,at,Tt=-1/0;do{if(Ze<=ve.y&&Ze>=ve.next.y&&ve.next.y!==ve.y){let Pr=ve.x+(Ze-ve.y)*(ve.next.x-ve.x)/(ve.next.y-ve.y);if(Pr<=De&&Pr>Tt&&(Tt=Pr,at=ve.x<ve.next.x?ve:ve.next,Pr===De))return at}ve=ve.next}while(ve!==ue);if(!at)return null;let Ft=at,Qt=at.x,sr=at.y,Tr=1/0;ve=at;do{if(De>=ve.x&&ve.x>=Qt&&De!==ve.x&&O(Ze<sr?De:Tt,Ze,Qt,sr,Ze<sr?Tt:De,Ze,ve.x,ve.y)){let Pr=Math.abs(Ze-ve.y)/(De-ve.x);Kt(ve,te)&&(Pr<Tr||Pr===Tr&&(ve.x>at.x||ve.x===at.x&&Y(at,ve)))&&(at=ve,Tr=Pr)}ve=ve.next}while(ve!==Ft);return at}(R,S);if(!D)return S;let j=ir(D,R);return wc(j,j.next),wc(D,D.next)}function Y(R,S){return pe(R.prev,R,S.prev)<0&&pe(S.next,R,R.next)<0}function z(R,S,D,j,te){return(R=1431655765&((R=858993459&((R=252645135&((R=16711935&((R=(R-D)*te|0)|R<<8))|R<<4))|R<<2))|R<<1))|(S=1431655765&((S=858993459&((S=252645135&((S=16711935&((S=(S-j)*te|0)|S<<8))|S<<4))|S<<2))|S<<1))<<1}function K(R){let S=R,D=R;do(S.x<D.x||S.x===D.x&&S.y<D.y)&&(D=S),S=S.next;while(S!==R);return D}function O(R,S,D,j,te,ue,ve,De){return(te-ve)*(S-De)>=(R-ve)*(ue-De)&&(R-ve)*(j-De)>=(D-ve)*(S-De)&&(D-ve)*(ue-De)>=(te-ve)*(j-De)}function $(R,S){return R.next.i!==S.i&&R.prev.i!==S.i&&!function(D,j){let te=D;do{if(te.i!==D.i&&te.next.i!==D.i&&te.i!==j.i&&te.next.i!==j.i&&Ie(te,te.next,D,j))return!0;te=te.next}while(te!==D);return!1}(R,S)&&(Kt(R,S)&&Kt(S,R)&&function(D,j){let te=D,ue=!1,ve=(D.x+j.x)/2,De=(D.y+j.y)/2;do te.y>De!=te.next.y>De&&te.next.y!==te.y&&ve<(te.next.x-te.x)*(De-te.y)/(te.next.y-te.y)+te.x&&(ue=!ue),te=te.next;while(te!==D);return ue}(R,S)&&(pe(R.prev,R,S.prev)||pe(R,S.prev,S))||de(R,S)&&pe(R.prev,R,R.next)>0&&pe(S.prev,S,S.next)>0)}function pe(R,S,D){return(S.y-R.y)*(D.x-S.x)-(S.x-R.x)*(D.y-S.y)}function de(R,S){return R.x===S.x&&R.y===S.y}function Ie(R,S,D,j){let te=pt(pe(R,S,D)),ue=pt(pe(R,S,j)),ve=pt(pe(D,j,R)),De=pt(pe(D,j,S));return te!==ue&&ve!==De||!(te!==0||!$e(R,D,S))||!(ue!==0||!$e(R,j,S))||!(ve!==0||!$e(D,R,j))||!(De!==0||!$e(D,S,j))}function $e(R,S,D){return S.x<=Math.max(R.x,D.x)&&S.x>=Math.min(R.x,D.x)&&S.y<=Math.max(R.y,D.y)&&S.y>=Math.min(R.y,D.y)}function pt(R){return R>0?1:R<0?-1:0}function Kt(R,S){return pe(R.prev,R,R.next)<0?pe(R,S,R.next)>=0&&pe(R,R.prev,S)>=0:pe(R,S,R.prev)<0||pe(R,R.next,S)<0}function ir(R,S){let D=Pt(R.i,R.x,R.y),j=Pt(S.i,S.x,S.y),te=R.next,ue=S.prev;return R.next=S,S.prev=R,D.next=te,te.prev=D,j.next=D,D.prev=j,ue.next=j,j.prev=ue,j}function Jt(R,S,D,j){let te=Pt(R,S,D);return j?(te.next=j.next,te.prev=j,j.next.prev=te,j.next=te):(te.prev=te,te.next=te),te}function vt(R){R.next.prev=R.prev,R.prev.next=R.next,R.prevZ&&(R.prevZ.nextZ=R.nextZ),R.nextZ&&(R.nextZ.prevZ=R.prevZ)}function Pt(R,S,D){return{i:R,x:S,y:D,prev:null,next:null,z:0,prevZ:null,nextZ:null,steiner:!1}}function Wt(R,S,D){let j=D.patternDependencies,te=!1;for(let ue of S){let ve=ue.paint.get(`${R}-pattern`);ve.isConstant()||(te=!0);let De=ve.constantOr(null);De&&(te=!0,j[De.to]=!0,j[De.from]=!0)}return te}function rr(R,S,D,j,te){let ue=te.patternDependencies;for(let ve of S){let De=ve.paint.get(`${R}-pattern`).value;if(De.kind!==\"constant\"){let Ze=De.evaluate({zoom:j-1},D,{},te.availableImages),at=De.evaluate({zoom:j},D,{},te.availableImages),Tt=De.evaluate({zoom:j+1},D,{},te.availableImages);Ze=Ze&&Ze.name?Ze.name:Ze,at=at&&at.name?at.name:at,Tt=Tt&&Tt.name?Tt.name:Tt,ue[Ze]=!0,ue[at]=!0,ue[Tt]=!0,D.patterns[ve.id]={min:Ze,mid:at,max:Tt}}}return D}class dr{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(D=>D.id),this.index=S.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new _l,this.indexArray=new oe,this.indexArray2=new we,this.programConfigurations=new _s(S.layers,S.zoom),this.segments=new We,this.segments2=new We,this.stateDependentLayerIds=this.layers.filter(D=>D.isStateDependent()).map(D=>D.id)}populate(S,D,j){this.hasPattern=Wt(\"fill\",this.layers,D);let te=this.layers[0].layout.get(\"fill-sort-key\"),ue=!te.isConstant(),ve=[];for(let{feature:De,id:Ze,index:at,sourceLayerIndex:Tt}of S){let Ft=this.layers[0]._featureFilter.needGeometry,Qt=xl(De,Ft);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),Qt,j))continue;let sr=ue?te.evaluate(Qt,{},j,D.availableImages):void 0,Tr={id:Ze,properties:De.properties,type:De.type,sourceLayerIndex:Tt,index:at,geometry:Ft?Qt.geometry:js(De),patterns:{},sortKey:sr};ve.push(Tr)}ue&&ve.sort((De,Ze)=>De.sortKey-Ze.sortKey);for(let De of ve){let{geometry:Ze,index:at,sourceLayerIndex:Tt}=De;if(this.hasPattern){let Ft=rr(\"fill\",this.layers,De,this.zoom,D);this.patternFeatures.push(Ft)}else this.addFeature(De,Ze,at,j,{});D.featureIndex.insert(S[at].feature,Ze,at,Tt,this.index)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}addFeatures(S,D,j){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,D,j)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,Qc),this.indexBuffer=S.createIndexBuffer(this.indexArray),this.indexBuffer2=S.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())}addFeature(S,D,j,te,ue){for(let ve of Of(D,500)){let De=0;for(let sr of ve)De+=sr.length;let Ze=this.segments.prepareSegment(De,this.layoutVertexArray,this.indexArray),at=Ze.vertexLength,Tt=[],Ft=[];for(let sr of ve){if(sr.length===0)continue;sr!==ve[0]&&Ft.push(Tt.length/2);let Tr=this.segments2.prepareSegment(sr.length,this.layoutVertexArray,this.indexArray2),Pr=Tr.vertexLength;this.layoutVertexArray.emplaceBack(sr[0].x,sr[0].y),this.indexArray2.emplaceBack(Pr+sr.length-1,Pr),Tt.push(sr[0].x),Tt.push(sr[0].y);for(let $r=1;$r<sr.length;$r++)this.layoutVertexArray.emplaceBack(sr[$r].x,sr[$r].y),this.indexArray2.emplaceBack(Pr+$r-1,Pr+$r),Tt.push(sr[$r].x),Tt.push(sr[$r].y);Tr.vertexLength+=sr.length,Tr.primitiveLength+=sr.length}let Qt=El(Tt,Ft);for(let sr=0;sr<Qt.length;sr+=3)this.indexArray.emplaceBack(at+Qt[sr],at+Qt[sr+1],at+Qt[sr+2]);Ze.vertexLength+=De,Ze.primitiveLength+=Qt.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,j,ue,te)}}let pr,kr;mi(\"FillBucket\",dr,{omit:[\"layers\",\"patternFeatures\"]});var Ar={get paint(){return kr=kr||new le({\"fill-antialias\":new Da(ce.paint_fill[\"fill-antialias\"]),\"fill-opacity\":new eo(ce.paint_fill[\"fill-opacity\"]),\"fill-color\":new eo(ce.paint_fill[\"fill-color\"]),\"fill-outline-color\":new eo(ce.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Da(ce.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Da(ce.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new Jc(ce.paint_fill[\"fill-pattern\"])})},get layout(){return pr=pr||new le({\"fill-sort-key\":new eo(ce.layout_fill[\"fill-sort-key\"])})}};class gr extends B{constructor(S){super(S,Ar)}recalculate(S,D){super.recalculate(S,D);let j=this.paint._values[\"fill-outline-color\"];j.value.kind===\"constant\"&&j.value.value===void 0&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(S){return new dr(S)}queryRadius(){return to(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(S,D,j,te,ue,ve,De){return Er(Rn(S,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),ve.angle,De),te)}isTileClipped(){return!0}}let Cr=qe([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),cr=qe([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:Gr}=Cr;var ei={},yi=s,tn=Ri;function Ri(R,S,D,j,te){this.properties={},this.extent=D,this.type=0,this._pbf=R,this._geometry=-1,this._keys=j,this._values=te,R.readFields(ln,this,S)}function ln(R,S,D){R==1?S.id=D.readVarint():R==2?function(j,te){for(var ue=j.readVarint()+j.pos;j.pos<ue;){var ve=te._keys[j.readVarint()],De=te._values[j.readVarint()];te.properties[ve]=De}}(D,S):R==3?S.type=D.readVarint():R==4&&(S._geometry=D.pos)}function Qn(R){for(var S,D,j=0,te=0,ue=R.length,ve=ue-1;te<ue;ve=te++)j+=((D=R[ve]).x-(S=R[te]).x)*(S.y+D.y);return j}Ri.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ri.prototype.loadGeometry=function(){var R=this._pbf;R.pos=this._geometry;for(var S,D=R.readVarint()+R.pos,j=1,te=0,ue=0,ve=0,De=[];R.pos<D;){if(te<=0){var Ze=R.readVarint();j=7&Ze,te=Ze>>3}if(te--,j===1||j===2)ue+=R.readSVarint(),ve+=R.readSVarint(),j===1&&(S&&De.push(S),S=[]),S.push(new yi(ue,ve));else{if(j!==7)throw new Error(\"unknown command \"+j);S&&S.push(S[0].clone())}}return S&&De.push(S),De},Ri.prototype.bbox=function(){var R=this._pbf;R.pos=this._geometry;for(var S=R.readVarint()+R.pos,D=1,j=0,te=0,ue=0,ve=1/0,De=-1/0,Ze=1/0,at=-1/0;R.pos<S;){if(j<=0){var Tt=R.readVarint();D=7&Tt,j=Tt>>3}if(j--,D===1||D===2)(te+=R.readSVarint())<ve&&(ve=te),te>De&&(De=te),(ue+=R.readSVarint())<Ze&&(Ze=ue),ue>at&&(at=ue);else if(D!==7)throw new Error(\"unknown command \"+D)}return[ve,Ze,De,at]},Ri.prototype.toGeoJSON=function(R,S,D){var j,te,ue=this.extent*Math.pow(2,D),ve=this.extent*R,De=this.extent*S,Ze=this.loadGeometry(),at=Ri.types[this.type];function Tt(sr){for(var Tr=0;Tr<sr.length;Tr++){var Pr=sr[Tr];sr[Tr]=[360*(Pr.x+ve)/ue-180,360/Math.PI*Math.atan(Math.exp((180-360*(Pr.y+De)/ue)*Math.PI/180))-90]}}switch(this.type){case 1:var Ft=[];for(j=0;j<Ze.length;j++)Ft[j]=Ze[j][0];Tt(Ze=Ft);break;case 2:for(j=0;j<Ze.length;j++)Tt(Ze[j]);break;case 3:for(Ze=function(sr){var Tr=sr.length;if(Tr<=1)return[sr];for(var Pr,$r,ni=[],Di=0;Di<Tr;Di++){var pi=Qn(sr[Di]);pi!==0&&($r===void 0&&($r=pi<0),$r===pi<0?(Pr&&ni.push(Pr),Pr=[sr[Di]]):Pr.push(sr[Di]))}return Pr&&ni.push(Pr),ni}(Ze),j=0;j<Ze.length;j++)for(te=0;te<Ze[j].length;te++)Tt(Ze[j][te])}Ze.length===1?Ze=Ze[0]:at=\"Multi\"+at;var Qt={type:\"Feature\",geometry:{type:at,coordinates:Ze},properties:this.properties};return\"id\"in this&&(Qt.id=this.id),Qt};var qn=tn,rn=bn;function bn(R,S){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=R,this._keys=[],this._values=[],this._features=[],R.readFields(mn,this,S),this.length=this._features.length}function mn(R,S,D){R===15?S.version=D.readVarint():R===1?S.name=D.readString():R===5?S.extent=D.readVarint():R===2?S._features.push(D.pos):R===3?S._keys.push(D.readString()):R===4&&S._values.push(function(j){for(var te=null,ue=j.readVarint()+j.pos;j.pos<ue;){var ve=j.readVarint()>>3;te=ve===1?j.readString():ve===2?j.readFloat():ve===3?j.readDouble():ve===4?j.readVarint64():ve===5?j.readVarint():ve===6?j.readSVarint():ve===7?j.readBoolean():null}return te}(D))}bn.prototype.feature=function(R){if(R<0||R>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[R];var S=this._pbf.readVarint()+this._pbf.pos;return new qn(this._pbf,S,this.extent,this._keys,this._values)};var Gn=rn;function da(R,S,D){if(R===3){var j=new Gn(D,D.readVarint()+D.pos);j.length&&(S[j.name]=j)}}ei.VectorTile=function(R,S){this.layers=R.readFields(da,{},S)},ei.VectorTileFeature=tn,ei.VectorTileLayer=rn;let No=ei.VectorTileFeature.types,Do=Math.pow(2,13);function ps(R,S,D,j,te,ue,ve,De){R.emplaceBack(S,D,2*Math.floor(j*Do)+ve,te*Do*2,ue*Do*2,Math.round(De))}class fo{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(D=>D.id),this.index=S.index,this.hasPattern=!1,this.layoutVertexArray=new Vl,this.centroidVertexArray=new yo,this.indexArray=new oe,this.programConfigurations=new _s(S.layers,S.zoom),this.segments=new We,this.stateDependentLayerIds=this.layers.filter(D=>D.isStateDependent()).map(D=>D.id)}populate(S,D,j){this.features=[],this.hasPattern=Wt(\"fill-extrusion\",this.layers,D);for(let{feature:te,id:ue,index:ve,sourceLayerIndex:De}of S){let Ze=this.layers[0]._featureFilter.needGeometry,at=xl(te,Ze);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),at,j))continue;let Tt={id:ue,sourceLayerIndex:De,index:ve,geometry:Ze?at.geometry:js(te),properties:te.properties,type:te.type,patterns:{}};this.hasPattern?this.features.push(rr(\"fill-extrusion\",this.layers,Tt,this.zoom,D)):this.addFeature(Tt,Tt.geometry,ve,j,{}),D.featureIndex.insert(te,Tt.geometry,ve,De,this.index,!0)}}addFeatures(S,D,j){for(let te of this.features){let{geometry:ue}=te;this.addFeature(te,ue,te.index,D,j)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,Gr),this.centroidVertexBuffer=S.createVertexBuffer(this.centroidVertexArray,cr.members,!0),this.indexBuffer=S.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(S,D,j,te,ue){for(let ve of Of(D,500)){let De={x:0,y:0,vertexCount:0},Ze=0;for(let Tr of ve)Ze+=Tr.length;let at=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let Tr of ve){if(Tr.length===0||tl(Tr))continue;let Pr=0;for(let $r=0;$r<Tr.length;$r++){let ni=Tr[$r];if($r>=1){let Di=Tr[$r-1];if(!as(ni,Di)){at.vertexLength+4>We.MAX_VERTEX_ARRAY_LENGTH&&(at=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let pi=ni.sub(Di)._perp()._unit(),ki=Di.dist(ni);Pr+ki>32768&&(Pr=0),ps(this.layoutVertexArray,ni.x,ni.y,pi.x,pi.y,0,0,Pr),ps(this.layoutVertexArray,ni.x,ni.y,pi.x,pi.y,0,1,Pr),De.x+=2*ni.x,De.y+=2*ni.y,De.vertexCount+=2,Pr+=ki,ps(this.layoutVertexArray,Di.x,Di.y,pi.x,pi.y,0,0,Pr),ps(this.layoutVertexArray,Di.x,Di.y,pi.x,pi.y,0,1,Pr),De.x+=2*Di.x,De.y+=2*Di.y,De.vertexCount+=2;let Zi=at.vertexLength;this.indexArray.emplaceBack(Zi,Zi+2,Zi+1),this.indexArray.emplaceBack(Zi+1,Zi+2,Zi+3),at.vertexLength+=4,at.primitiveLength+=2}}}}if(at.vertexLength+Ze>We.MAX_VERTEX_ARRAY_LENGTH&&(at=this.segments.prepareSegment(Ze,this.layoutVertexArray,this.indexArray)),No[S.type]!==\"Polygon\")continue;let Tt=[],Ft=[],Qt=at.vertexLength;for(let Tr of ve)if(Tr.length!==0){Tr!==ve[0]&&Ft.push(Tt.length/2);for(let Pr=0;Pr<Tr.length;Pr++){let $r=Tr[Pr];ps(this.layoutVertexArray,$r.x,$r.y,0,0,1,1,0),De.x+=$r.x,De.y+=$r.y,De.vertexCount+=1,Tt.push($r.x),Tt.push($r.y)}}let sr=El(Tt,Ft);for(let Tr=0;Tr<sr.length;Tr+=3)this.indexArray.emplaceBack(Qt+sr[Tr],Qt+sr[Tr+2],Qt+sr[Tr+1]);at.primitiveLength+=sr.length/3,at.vertexLength+=Ze;for(let Tr=0;Tr<De.vertexCount;Tr++){let Pr=Math.floor(De.x/De.vertexCount),$r=Math.floor(De.y/De.vertexCount);this.centroidVertexArray.emplaceBack(Pr,$r)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,j,ue,te)}}function as(R,S){return R.x===S.x&&(R.x<0||R.x>za)||R.y===S.y&&(R.y<0||R.y>za)}function tl(R){return R.every(S=>S.x<0)||R.every(S=>S.x>za)||R.every(S=>S.y<0)||R.every(S=>S.y>za)}let zu;mi(\"FillExtrusionBucket\",fo,{omit:[\"layers\",\"features\"]});var Mv={get paint(){return zu=zu||new le({\"fill-extrusion-opacity\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Jc(ce[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Ev extends B{constructor(S){super(S,Mv)}createBucket(S){return new fo(S)}queryRadius(){return to(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(S,D,j,te,ue,ve,De,Ze){let at=Rn(S,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),ve.angle,De),Tt=this.paint.get(\"fill-extrusion-height\").evaluate(D,j),Ft=this.paint.get(\"fill-extrusion-base\").evaluate(D,j),Qt=function(Tr,Pr,$r,ni){let Di=[];for(let pi of Tr){let ki=[pi.x,pi.y,0,1];Za(ki,ki,Pr),Di.push(new u(ki[0]/ki[3],ki[1]/ki[3]))}return Di}(at,Ze),sr=function(Tr,Pr,$r,ni){let Di=[],pi=[],ki=ni[8]*Pr,Zi=ni[9]*Pr,ta=ni[10]*Pr,Va=ni[11]*Pr,Io=ni[8]*$r,La=ni[9]*$r,Hn=ni[10]*$r,lo=ni[11]*$r;for(let $a of Tr){let Xa=[],Tn=[];for(let bo of $a){let Ya=bo.x,Uo=bo.y,wu=ni[0]*Ya+ni[4]*Uo+ni[12],hu=ni[1]*Ya+ni[5]*Uo+ni[13],uh=ni[2]*Ya+ni[6]*Uo+ni[14],$v=ni[3]*Ya+ni[7]*Uo+ni[15],td=uh+ta,ch=$v+Va,Ud=wu+Io,Vd=hu+La,Hd=uh+Hn,rf=$v+lo,fh=new u((wu+ki)/ch,(hu+Zi)/ch);fh.z=td/ch,Xa.push(fh);let Td=new u(Ud/rf,Vd/rf);Td.z=Hd/rf,Tn.push(Td)}Di.push(Xa),pi.push(Tn)}return[Di,pi]}(te,Ft,Tt,Ze);return function(Tr,Pr,$r){let ni=1/0;Er($r,Pr)&&(ni=Yv($r,Pr[0]));for(let Di=0;Di<Pr.length;Di++){let pi=Pr[Di],ki=Tr[Di];for(let Zi=0;Zi<pi.length-1;Zi++){let ta=pi[Zi],Va=[ta,pi[Zi+1],ki[Zi+1],ki[Zi],ta];xc($r,Va)&&(ni=Math.min(ni,Yv($r,Va)))}}return ni!==1/0&&ni}(sr[0],sr[1],Qt)}}function yd(R,S){return R.x*S.x+R.y*S.y}function Yv(R,S){if(R.length===1){let D=0,j=S[D++],te;for(;!te||j.equals(te);)if(te=S[D++],!te)return 1/0;for(;D<S.length;D++){let ue=S[D],ve=R[0],De=te.sub(j),Ze=ue.sub(j),at=ve.sub(j),Tt=yd(De,De),Ft=yd(De,Ze),Qt=yd(Ze,Ze),sr=yd(at,De),Tr=yd(at,Ze),Pr=Tt*Qt-Ft*Ft,$r=(Qt*sr-Ft*Tr)/Pr,ni=(Tt*Tr-Ft*sr)/Pr,Di=j.z*(1-$r-ni)+te.z*$r+ue.z*ni;if(isFinite(Di))return Di}return 1/0}{let D=1/0;for(let j of S)D=Math.min(D,j.z);return D}}let cg=qe([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:vp}=cg,_d=qe([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:pp}=_d,Nd=ei.VectorTileFeature.types,xd=Math.cos(Math.PI/180*37.5),kv=Math.pow(2,14)/.5;class Kv{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(D=>D.id),this.index=S.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(D=>{this.gradients[D.id]={}}),this.layoutVertexArray=new Zu,this.layoutVertexArray2=new cu,this.indexArray=new oe,this.programConfigurations=new _s(S.layers,S.zoom),this.segments=new We,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(D=>D.isStateDependent()).map(D=>D.id)}populate(S,D,j){this.hasPattern=Wt(\"line\",this.layers,D);let te=this.layers[0].layout.get(\"line-sort-key\"),ue=!te.isConstant(),ve=[];for(let{feature:De,id:Ze,index:at,sourceLayerIndex:Tt}of S){let Ft=this.layers[0]._featureFilter.needGeometry,Qt=xl(De,Ft);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),Qt,j))continue;let sr=ue?te.evaluate(Qt,{},j):void 0,Tr={id:Ze,properties:De.properties,type:De.type,sourceLayerIndex:Tt,index:at,geometry:Ft?Qt.geometry:js(De),patterns:{},sortKey:sr};ve.push(Tr)}ue&&ve.sort((De,Ze)=>De.sortKey-Ze.sortKey);for(let De of ve){let{geometry:Ze,index:at,sourceLayerIndex:Tt}=De;if(this.hasPattern){let Ft=rr(\"line\",this.layers,De,this.zoom,D);this.patternFeatures.push(Ft)}else this.addFeature(De,Ze,at,j,{});D.featureIndex.insert(S[at].feature,Ze,at,Tt,this.index)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}addFeatures(S,D,j){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,D,j)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=S.createVertexBuffer(this.layoutVertexArray2,pp)),this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,vp),this.indexBuffer=S.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(S){if(S.properties&&Object.prototype.hasOwnProperty.call(S.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(S.properties,\"mapbox_clip_end\"))return{start:+S.properties.mapbox_clip_start,end:+S.properties.mapbox_clip_end}}addFeature(S,D,j,te,ue){let ve=this.layers[0].layout,De=ve.get(\"line-join\").evaluate(S,{}),Ze=ve.get(\"line-cap\"),at=ve.get(\"line-miter-limit\"),Tt=ve.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(S);for(let Ft of D)this.addLine(Ft,S,De,Ze,at,Tt);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,j,ue,te)}addLine(S,D,j,te,ue,ve){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let ni=0;ni<S.length-1;ni++)this.totalDistance+=S[ni].dist(S[ni+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}let De=Nd[D.type]===\"Polygon\",Ze=S.length;for(;Ze>=2&&S[Ze-1].equals(S[Ze-2]);)Ze--;let at=0;for(;at<Ze-1&&S[at].equals(S[at+1]);)at++;if(Ze<(De?3:2))return;j===\"bevel\"&&(ue=1.05);let Tt=this.overscaling<=16?15*za/(512*this.overscaling):0,Ft=this.segments.prepareSegment(10*Ze,this.layoutVertexArray,this.indexArray),Qt,sr,Tr,Pr,$r;this.e1=this.e2=-1,De&&(Qt=S[Ze-2],$r=S[at].sub(Qt)._unit()._perp());for(let ni=at;ni<Ze;ni++){if(Tr=ni===Ze-1?De?S[at+1]:void 0:S[ni+1],Tr&&S[ni].equals(Tr))continue;$r&&(Pr=$r),Qt&&(sr=Qt),Qt=S[ni],$r=Tr?Tr.sub(Qt)._unit()._perp():Pr,Pr=Pr||$r;let Di=Pr.add($r);Di.x===0&&Di.y===0||Di._unit();let pi=Pr.x*$r.x+Pr.y*$r.y,ki=Di.x*$r.x+Di.y*$r.y,Zi=ki!==0?1/ki:1/0,ta=2*Math.sqrt(2-2*ki),Va=ki<xd&&sr&&Tr,Io=Pr.x*$r.y-Pr.y*$r.x>0;if(Va&&ni>at){let lo=Qt.dist(sr);if(lo>2*Tt){let $a=Qt.sub(Qt.sub(sr)._mult(Tt/lo)._round());this.updateDistance(sr,$a),this.addCurrentVertex($a,Pr,0,0,Ft),sr=$a}}let La=sr&&Tr,Hn=La?j:De?\"butt\":te;if(La&&Hn===\"round\"&&(Zi<ve?Hn=\"miter\":Zi<=2&&(Hn=\"fakeround\")),Hn===\"miter\"&&Zi>ue&&(Hn=\"bevel\"),Hn===\"bevel\"&&(Zi>2&&(Hn=\"flipbevel\"),Zi<ue&&(Hn=\"miter\")),sr&&this.updateDistance(sr,Qt),Hn===\"miter\")Di._mult(Zi),this.addCurrentVertex(Qt,Di,0,0,Ft);else if(Hn===\"flipbevel\"){if(Zi>100)Di=$r.mult(-1);else{let lo=Zi*Pr.add($r).mag()/Pr.sub($r).mag();Di._perp()._mult(lo*(Io?-1:1))}this.addCurrentVertex(Qt,Di,0,0,Ft),this.addCurrentVertex(Qt,Di.mult(-1),0,0,Ft)}else if(Hn===\"bevel\"||Hn===\"fakeround\"){let lo=-Math.sqrt(Zi*Zi-1),$a=Io?lo:0,Xa=Io?0:lo;if(sr&&this.addCurrentVertex(Qt,Pr,$a,Xa,Ft),Hn===\"fakeround\"){let Tn=Math.round(180*ta/Math.PI/20);for(let bo=1;bo<Tn;bo++){let Ya=bo/Tn;if(Ya!==.5){let wu=Ya-.5;Ya+=Ya*wu*(Ya-1)*((1.0904+pi*(pi*(3.55645-1.43519*pi)-3.2452))*wu*wu+(.848013+pi*(.215638*pi-1.06021)))}let Uo=$r.sub(Pr)._mult(Ya)._add(Pr)._unit()._mult(Io?-1:1);this.addHalfVertex(Qt,Uo.x,Uo.y,!1,Io,0,Ft)}}Tr&&this.addCurrentVertex(Qt,$r,-$a,-Xa,Ft)}else if(Hn===\"butt\")this.addCurrentVertex(Qt,Di,0,0,Ft);else if(Hn===\"square\"){let lo=sr?1:-1;this.addCurrentVertex(Qt,Di,lo,lo,Ft)}else Hn===\"round\"&&(sr&&(this.addCurrentVertex(Qt,Pr,0,0,Ft),this.addCurrentVertex(Qt,Pr,1,1,Ft,!0)),Tr&&(this.addCurrentVertex(Qt,$r,-1,-1,Ft,!0),this.addCurrentVertex(Qt,$r,0,0,Ft)));if(Va&&ni<Ze-1){let lo=Qt.dist(Tr);if(lo>2*Tt){let $a=Qt.add(Tr.sub(Qt)._mult(Tt/lo)._round());this.updateDistance(Qt,$a),this.addCurrentVertex($a,$r,0,0,Ft),Qt=$a}}}}addCurrentVertex(S,D,j,te,ue,ve=!1){let De=D.y*te-D.x,Ze=-D.y-D.x*te;this.addHalfVertex(S,D.x+D.y*j,D.y-D.x*j,ve,!1,j,ue),this.addHalfVertex(S,De,Ze,ve,!0,-te,ue),this.distance>kv/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(S,D,j,te,ue,ve))}addHalfVertex({x:S,y:D},j,te,ue,ve,De,Ze){let at=.5*(this.lineClips?this.scaledDistance*(kv-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((S<<1)+(ue?1:0),(D<<1)+(ve?1:0),Math.round(63*j)+128,Math.round(63*te)+128,1+(De===0?0:De<0?-1:1)|(63&at)<<2,at>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let Tt=Ze.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,Tt),Ze.primitiveLength++),ve?this.e2=Tt:this.e1=Tt}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(S,D){this.distance+=S.dist(D),this.updateScaledDistance()}}let Cv,ny;mi(\"LineBucket\",Kv,{omit:[\"layers\",\"patternFeatures\"]});var fg={get paint(){return ny=ny||new le({\"line-opacity\":new eo(ce.paint_line[\"line-opacity\"]),\"line-color\":new eo(ce.paint_line[\"line-color\"]),\"line-translate\":new Da(ce.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Da(ce.paint_line[\"line-translate-anchor\"]),\"line-width\":new eo(ce.paint_line[\"line-width\"]),\"line-gap-width\":new eo(ce.paint_line[\"line-gap-width\"]),\"line-offset\":new eo(ce.paint_line[\"line-offset\"]),\"line-blur\":new eo(ce.paint_line[\"line-blur\"]),\"line-dasharray\":new yc(ce.paint_line[\"line-dasharray\"]),\"line-pattern\":new Jc(ce.paint_line[\"line-pattern\"]),\"line-gradient\":new _c(ce.paint_line[\"line-gradient\"])})},get layout(){return Cv=Cv||new le({\"line-cap\":new Da(ce.layout_line[\"line-cap\"]),\"line-join\":new eo(ce.layout_line[\"line-join\"]),\"line-miter-limit\":new Da(ce.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Da(ce.layout_line[\"line-round-limit\"]),\"line-sort-key\":new eo(ce.layout_line[\"line-sort-key\"])})}};class Hf extends eo{possiblyEvaluate(S,D){return D=new Ko(Math.floor(D.zoom),{now:D.now,fadeDuration:D.fadeDuration,zoomHistory:D.zoomHistory,transition:D.transition}),super.possiblyEvaluate(S,D)}evaluate(S,D,j,te){return D=L({},D,{zoom:Math.floor(D.zoom)}),super.evaluate(S,D,j,te)}}let hg;class ay extends B{constructor(S){super(S,fg),this.gradientVersion=0,hg||(hg=new Hf(fg.paint.properties[\"line-width\"].specification),hg.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(S){if(S===\"line-gradient\"){let D=this.gradientExpression();this.stepInterpolant=!!function(j){return j._styleExpression!==void 0}(D)&&D._styleExpression.expression instanceof Ji,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(S,D){super.recalculate(S,D),this.paint._values[\"line-floorwidth\"]=hg.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,S)}createBucket(S){return new Kv(S)}queryRadius(S){let D=S,j=Rh(yn(\"line-width\",this,D),yn(\"line-gap-width\",this,D)),te=yn(\"line-offset\",this,D);return j/2+Math.abs(te)+to(this.paint.get(\"line-translate\"))}queryIntersectsFeature(S,D,j,te,ue,ve,De){let Ze=Rn(S,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),ve.angle,De),at=De/2*Rh(this.paint.get(\"line-width\").evaluate(D,j),this.paint.get(\"line-gap-width\").evaluate(D,j)),Tt=this.paint.get(\"line-offset\").evaluate(D,j);return Tt&&(te=function(Ft,Qt){let sr=[];for(let Tr=0;Tr<Ft.length;Tr++){let Pr=Ft[Tr],$r=[];for(let ni=0;ni<Pr.length;ni++){let Di=Pr[ni-1],pi=Pr[ni],ki=Pr[ni+1],Zi=ni===0?new u(0,0):pi.sub(Di)._unit()._perp(),ta=ni===Pr.length-1?new u(0,0):ki.sub(pi)._unit()._perp(),Va=Zi._add(ta)._unit(),Io=Va.x*ta.x+Va.y*ta.y;Io!==0&&Va._mult(1/Io),$r.push(Va._mult(Qt)._add(pi))}sr.push($r)}return sr}(te,Tt*De)),function(Ft,Qt,sr){for(let Tr=0;Tr<Qt.length;Tr++){let Pr=Qt[Tr];if(Ft.length>=3){for(let 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gC(R,S){let{expression:D}=S;if(D.kind===\"constant\")return{kind:\"constant\",layoutSize:D.evaluate(new Ko(R+1))};if(D.kind===\"source\")return{kind:\"source\"};{let{zoomStops:j,interpolationType:te}=D,ue=0;for(;ue<j.length&&j[ue]<=R;)ue++;ue=Math.max(0,ue-1);let ve=ue;for(;ve<j.length&&j[ve]<R+1;)ve++;ve=Math.min(j.length-1,ve);let De=j[ue],Ze=j[ve];return D.kind===\"composite\"?{kind:\"composite\",minZoom:De,maxZoom:Ze,interpolationType:te}:{kind:\"camera\",minZoom:De,maxZoom:Ze,minSize:D.evaluate(new Ko(De)),maxSize:D.evaluate(new Ko(Ze)),interpolationType:te}}}function nS(R,S,D){let j=\"never\",te=R.get(S);return te?j=te:R.get(D)&&(j=\"always\"),j}let U9=ei.VectorTileFeature.types,V9=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Rw(R,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt){let sr=De?Math.min(lm,Math.round(De[0])):0,Tr=De?Math.min(lm,Math.round(De[1])):0;R.emplaceBack(S,D,Math.round(32*j),Math.round(32*te),ue,ve,(sr<<1)+(Ze?1:0),Tr,16*at,16*Tt,256*Ft,256*Qt)}function aS(R,S,D){R.emplaceBack(S.x,S.y,D),R.emplaceBack(S.x,S.y,D),R.emplaceBack(S.x,S.y,D),R.emplaceBack(S.x,S.y,D)}function oS(R){for(let S of R.sections)if(Ka(S.text))return!0;return!1}class sS{constructor(S){this.layoutVertexArray=new nu,this.indexArray=new oe,this.programConfigurations=S,this.segments=new We,this.dynamicLayoutVertexArray=new zc,this.opacityVertexArray=new Dl,this.hasVisibleVertices=!1,this.placedSymbolArray=new pa}isEmpty(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0}upload(S,D,j,te){this.isEmpty()||(j&&(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,rm.members),this.indexBuffer=S.createIndexBuffer(this.indexArray,D),this.dynamicLayoutVertexBuffer=S.createVertexBuffer(this.dynamicLayoutVertexArray,w1.members,!0),this.opacityVertexBuffer=S.createVertexBuffer(this.opacityVertexArray,V9,!0),this.opacityVertexBuffer.itemSize=1),(j||te)&&this.programConfigurations.upload(S))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}mi(\"SymbolBuffers\",sS);class um{constructor(S,D,j){this.layoutVertexArray=new S,this.layoutAttributes=D,this.indexArray=new j,this.segments=new We,this.collisionVertexArray=new Z}upload(S){this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=S.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=S.createVertexBuffer(this.collisionVertexArray,T1.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}mi(\"CollisionBuffers\",um);class E1{constructor(S){this.collisionBoxArray=S.collisionBoxArray,this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(ve=>ve.id),this.index=S.index,this.pixelRatio=S.pixelRatio,this.sourceLayerIndex=S.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Un([]),this.placementViewportMatrix=Un([]);let D=this.layers[0]._unevaluatedLayout._values;this.textSizeData=gC(this.zoom,D[\"text-size\"]),this.iconSizeData=gC(this.zoom,D[\"icon-size\"]);let j=this.layers[0].layout,te=j.get(\"symbol-sort-key\"),ue=j.get(\"symbol-z-order\");this.canOverlap=nS(j,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||nS(j,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||j.get(\"text-ignore-placement\")||j.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=ue!==\"viewport-y\"&&!te.isConstant(),this.sortFeaturesByY=(ue===\"viewport-y\"||ue===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,j.get(\"symbol-placement\")===\"point\"&&(this.writingModes=j.get(\"text-writing-mode\").map(ve=>i.ah[ve])),this.stateDependentLayerIds=this.layers.filter(ve=>ve.isStateDependent()).map(ve=>ve.id),this.sourceID=S.sourceID}createArrays(){this.text=new sS(new _s(this.layers,this.zoom,S=>/^text/.test(S))),this.icon=new sS(new _s(this.layers,this.zoom,S=>/^icon/.test(S))),this.glyphOffsetArray=new To,this.lineVertexArray=new Wa,this.symbolInstances=new Ga,this.textAnchorOffsets=new Ro}calculateGlyphDependencies(S,D,j,te,ue){for(let ve=0;ve<S.length;ve++)if(D[S.charCodeAt(ve)]=!0,(j||te)&&ue){let De=Fu[S.charAt(ve)];De&&(D[De.charCodeAt(0)]=!0)}}populate(S,D,j){let te=this.layers[0],ue=te.layout,ve=ue.get(\"text-font\"),De=ue.get(\"text-field\"),Ze=ue.get(\"icon-image\"),at=(De.value.kind!==\"constant\"||De.value.value instanceof Zr&&!De.value.value.isEmpty()||De.value.value.toString().length>0)&&(ve.value.kind!==\"constant\"||ve.value.value.length>0),Tt=Ze.value.kind!==\"constant\"||!!Ze.value.value||Object.keys(Ze.parameters).length>0,Ft=ue.get(\"symbol-sort-key\");if(this.features=[],!at&&!Tt)return;let Qt=D.iconDependencies,sr=D.glyphDependencies,Tr=D.availableImages,Pr=new Ko(this.zoom);for(let{feature:$r,id:ni,index:Di,sourceLayerIndex:pi}of S){let ki=te._featureFilter.needGeometry,Zi=xl($r,ki);if(!te._featureFilter.filter(Pr,Zi,j))continue;let ta,Va;if(ki||(Zi.geometry=js($r)),at){let La=te.getValueAndResolveTokens(\"text-field\",Zi,j,Tr),Hn=Zr.factory(La),lo=this.hasRTLText=this.hasRTLText||oS(Hn);(!lo||vs.getRTLTextPluginStatus()===\"unavailable\"||lo&&vs.isParsed())&&(ta=nm(Hn,te,Zi))}if(Tt){let La=te.getValueAndResolveTokens(\"icon-image\",Zi,j,Tr);Va=La instanceof Mi?La:Mi.fromString(La)}if(!ta&&!Va)continue;let Io=this.sortFeaturesByKey?Ft.evaluate(Zi,{},j):void 0;if(this.features.push({id:ni,text:ta,icon:Va,index:Di,sourceLayerIndex:pi,geometry:Zi.geometry,properties:$r.properties,type:U9[$r.type],sortKey:Io}),Va&&(Qt[Va.name]=!0),ta){let La=ve.evaluate(Zi,{},j).join(\",\"),Hn=ue.get(\"text-rotation-alignment\")!==\"viewport\"&&ue.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(i.ah.vertical)>=0;for(let lo of ta.sections)if(lo.image)Qt[lo.image.name]=!0;else{let $a=Ua(ta.toString()),Xa=lo.fontStack||La,Tn=sr[Xa]=sr[Xa]||{};this.calculateGlyphDependencies(lo.text,Tn,Hn,this.allowVerticalPlacement,$a)}}}ue.get(\"symbol-placement\")===\"line\"&&(this.features=function($r){let ni={},Di={},pi=[],ki=0;function Zi(La){pi.push($r[La]),ki++}function ta(La,Hn,lo){let $a=Di[La];return delete Di[La],Di[Hn]=$a,pi[$a].geometry[0].pop(),pi[$a].geometry[0]=pi[$a].geometry[0].concat(lo[0]),$a}function Va(La,Hn,lo){let $a=ni[Hn];return delete ni[Hn],ni[La]=$a,pi[$a].geometry[0].shift(),pi[$a].geometry[0]=lo[0].concat(pi[$a].geometry[0]),$a}function Io(La,Hn,lo){let $a=lo?Hn[0][Hn[0].length-1]:Hn[0][0];return`${La}:${$a.x}:${$a.y}`}for(let La=0;La<$r.length;La++){let Hn=$r[La],lo=Hn.geometry,$a=Hn.text?Hn.text.toString():null;if(!$a){Zi(La);continue}let Xa=Io($a,lo),Tn=Io($a,lo,!0);if(Xa in Di&&Tn in ni&&Di[Xa]!==ni[Tn]){let bo=Va(Xa,Tn,lo),Ya=ta(Xa,Tn,pi[bo].geometry);delete ni[Xa],delete Di[Tn],Di[Io($a,pi[Ya].geometry,!0)]=Ya,pi[bo].geometry=null}else Xa in Di?ta(Xa,Tn,lo):Tn in ni?Va(Xa,Tn,lo):(Zi(La),ni[Xa]=ki-1,Di[Tn]=ki-1)}return pi.filter(La=>La.geometry)}(this.features)),this.sortFeaturesByKey&&this.features.sort(($r,ni)=>$r.sortKey-ni.sortKey)}update(S,D,j){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(S,D,this.layers,j),this.icon.programConfigurations.updatePaintArrays(S,D,this.layers,j))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(S){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(S),this.iconCollisionBox.upload(S)),this.text.upload(S,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(S,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(S,D){let j=this.lineVertexArray.length;if(S.segment!==void 0){let te=S.dist(D[S.segment+1]),ue=S.dist(D[S.segment]),ve={};for(let De=S.segment+1;De<D.length;De++)ve[De]={x:D[De].x,y:D[De].y,tileUnitDistanceFromAnchor:te},De<D.length-1&&(te+=D[De+1].dist(D[De]));for(let De=S.segment||0;De>=0;De--)ve[De]={x:D[De].x,y:D[De].y,tileUnitDistanceFromAnchor:ue},De>0&&(ue+=D[De-1].dist(D[De]));for(let De=0;De<D.length;De++){let Ze=ve[De];this.lineVertexArray.emplaceBack(Ze.x,Ze.y,Ze.tileUnitDistanceFromAnchor)}}return{lineStartIndex:j,lineLength:this.lineVertexArray.length-j}}addSymbols(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt){let sr=S.indexArray,Tr=S.layoutVertexArray,Pr=S.segments.prepareSegment(4*D.length,Tr,sr,this.canOverlap?ve.sortKey:void 0),$r=this.glyphOffsetArray.length,ni=Pr.vertexLength,Di=this.allowVerticalPlacement&&De===i.ah.vertical?Math.PI/2:0,pi=ve.text&&ve.text.sections;for(let ki=0;ki<D.length;ki++){let{tl:Zi,tr:ta,bl:Va,br:Io,tex:La,pixelOffsetTL:Hn,pixelOffsetBR:lo,minFontScaleX:$a,minFontScaleY:Xa,glyphOffset:Tn,isSDF:bo,sectionIndex:Ya}=D[ki],Uo=Pr.vertexLength,wu=Tn[1];Rw(Tr,Ze.x,Ze.y,Zi.x,wu+Zi.y,La.x,La.y,j,bo,Hn.x,Hn.y,$a,Xa),Rw(Tr,Ze.x,Ze.y,ta.x,wu+ta.y,La.x+La.w,La.y,j,bo,lo.x,Hn.y,$a,Xa),Rw(Tr,Ze.x,Ze.y,Va.x,wu+Va.y,La.x,La.y+La.h,j,bo,Hn.x,lo.y,$a,Xa),Rw(Tr,Ze.x,Ze.y,Io.x,wu+Io.y,La.x+La.w,La.y+La.h,j,bo,lo.x,lo.y,$a,Xa),aS(S.dynamicLayoutVertexArray,Ze,Di),sr.emplaceBack(Uo,Uo+1,Uo+2),sr.emplaceBack(Uo+1,Uo+2,Uo+3),Pr.vertexLength+=4,Pr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(Tn[0]),ki!==D.length-1&&Ya===D[ki+1].sectionIndex||S.programConfigurations.populatePaintArrays(Tr.length,ve,ve.index,{},Qt,pi&&pi[Ya])}S.placedSymbolArray.emplaceBack(Ze.x,Ze.y,$r,this.glyphOffsetArray.length-$r,ni,at,Tt,Ze.segment,j?j[0]:0,j?j[1]:0,te[0],te[1],De,0,!1,0,Ft)}_addCollisionDebugVertex(S,D,j,te,ue,ve){return D.emplaceBack(0,0),S.emplaceBack(j.x,j.y,te,ue,Math.round(ve.x),Math.round(ve.y))}addCollisionDebugVertices(S,D,j,te,ue,ve,De){let Ze=ue.segments.prepareSegment(4,ue.layoutVertexArray,ue.indexArray),at=Ze.vertexLength,Tt=ue.layoutVertexArray,Ft=ue.collisionVertexArray,Qt=De.anchorX,sr=De.anchorY;this._addCollisionDebugVertex(Tt,Ft,ve,Qt,sr,new u(S,D)),this._addCollisionDebugVertex(Tt,Ft,ve,Qt,sr,new u(j,D)),this._addCollisionDebugVertex(Tt,Ft,ve,Qt,sr,new u(j,te)),this._addCollisionDebugVertex(Tt,Ft,ve,Qt,sr,new u(S,te)),Ze.vertexLength+=4;let Tr=ue.indexArray;Tr.emplaceBack(at,at+1),Tr.emplaceBack(at+1,at+2),Tr.emplaceBack(at+2,at+3),Tr.emplaceBack(at+3,at),Ze.primitiveLength+=4}addDebugCollisionBoxes(S,D,j,te){for(let ue=S;ue<D;ue++){let ve=this.collisionBoxArray.get(ue);this.addCollisionDebugVertices(ve.x1,ve.y1,ve.x2,ve.y2,te?this.textCollisionBox:this.iconCollisionBox,ve.anchorPoint,j)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new um(zl,oy.members,we),this.iconCollisionBox=new um(zl,oy.members,we);for(let S=0;S<this.symbolInstances.length;S++){let D=this.symbolInstances.get(S);this.addDebugCollisionBoxes(D.textBoxStartIndex,D.textBoxEndIndex,D,!0),this.addDebugCollisionBoxes(D.verticalTextBoxStartIndex,D.verticalTextBoxEndIndex,D,!0),this.addDebugCollisionBoxes(D.iconBoxStartIndex,D.iconBoxEndIndex,D,!1),this.addDebugCollisionBoxes(D.verticalIconBoxStartIndex,D.verticalIconBoxEndIndex,D,!1)}}_deserializeCollisionBoxesForSymbol(S,D,j,te,ue,ve,De,Ze,at){let Tt={};for(let Ft=D;Ft<j;Ft++){let Qt=S.get(Ft);Tt.textBox={x1:Qt.x1,y1:Qt.y1,x2:Qt.x2,y2:Qt.y2,anchorPointX:Qt.anchorPointX,anchorPointY:Qt.anchorPointY},Tt.textFeatureIndex=Qt.featureIndex;break}for(let Ft=te;Ft<ue;Ft++){let Qt=S.get(Ft);Tt.verticalTextBox={x1:Qt.x1,y1:Qt.y1,x2:Qt.x2,y2:Qt.y2,anchorPointX:Qt.anchorPointX,anchorPointY:Qt.anchorPointY},Tt.verticalTextFeatureIndex=Qt.featureIndex;break}for(let Ft=ve;Ft<De;Ft++){let Qt=S.get(Ft);Tt.iconBox={x1:Qt.x1,y1:Qt.y1,x2:Qt.x2,y2:Qt.y2,anchorPointX:Qt.anchorPointX,anchorPointY:Qt.anchorPointY},Tt.iconFeatureIndex=Qt.featureIndex;break}for(let Ft=Ze;Ft<at;Ft++){let Qt=S.get(Ft);Tt.verticalIconBox={x1:Qt.x1,y1:Qt.y1,x2:Qt.x2,y2:Qt.y2,anchorPointX:Qt.anchorPointX,anchorPointY:Qt.anchorPointY},Tt.verticalIconFeatureIndex=Qt.featureIndex;break}return Tt}deserializeCollisionBoxes(S){this.collisionArrays=[];for(let D=0;D<this.symbolInstances.length;D++){let j=this.symbolInstances.get(D);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(S,j.textBoxStartIndex,j.textBoxEndIndex,j.verticalTextBoxStartIndex,j.verticalTextBoxEndIndex,j.iconBoxStartIndex,j.iconBoxEndIndex,j.verticalIconBoxStartIndex,j.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(S,D){let j=S.placedSymbolArray.get(D),te=j.vertexStartIndex+4*j.numGlyphs;for(let ue=j.vertexStartIndex;ue<te;ue+=4)S.indexArray.emplaceBack(ue,ue+1,ue+2),S.indexArray.emplaceBack(ue+1,ue+2,ue+3)}getSortedSymbolIndexes(S){if(this.sortedAngle===S&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;let D=Math.sin(S),j=Math.cos(S),te=[],ue=[],ve=[];for(let De=0;De<this.symbolInstances.length;++De){ve.push(De);let Ze=this.symbolInstances.get(De);te.push(0|Math.round(D*Ze.anchorX+j*Ze.anchorY)),ue.push(Ze.featureIndex)}return ve.sort((De,Ze)=>te[De]-te[Ze]||ue[Ze]-ue[De]),ve}addToSortKeyRanges(S,D){let j=this.sortKeyRanges[this.sortKeyRanges.length-1];j&&j.sortKey===D?j.symbolInstanceEnd=S+1:this.sortKeyRanges.push({sortKey:D,symbolInstanceStart:S,symbolInstanceEnd:S+1})}sortFeatures(S){if(this.sortFeaturesByY&&this.sortedAngle!==S&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(S),this.sortedAngle=S,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let D of this.symbolInstanceIndexes){let j=this.symbolInstances.get(D);this.featureSortOrder.push(j.featureIndex),[j.rightJustifiedTextSymbolIndex,j.centerJustifiedTextSymbolIndex,j.leftJustifiedTextSymbolIndex].forEach((te,ue,ve)=>{te>=0&&ve.indexOf(te)===ue&&this.addIndicesForPlacedSymbol(this.text,te)}),j.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,j.verticalPlacedTextSymbolIndex),j.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,j.placedIconSymbolIndex),j.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,j.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let tf,Wx;mi(\"SymbolBucket\",E1,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),E1.MAX_GLYPHS=65535,E1.addDynamicAttributes=aS;var Dw={get paint(){return Wx=Wx||new le({\"icon-opacity\":new eo(ce.paint_symbol[\"icon-opacity\"]),\"icon-color\":new eo(ce.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new eo(ce.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new eo(ce.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new eo(ce.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Da(ce.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Da(ce.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new eo(ce.paint_symbol[\"text-opacity\"]),\"text-color\":new eo(ce.paint_symbol[\"text-color\"],{runtimeType:Ht,getOverride:R=>R.textColor,hasOverride:R=>!!R.textColor}),\"text-halo-color\":new eo(ce.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new eo(ce.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new eo(ce.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Da(ce.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Da(ce.paint_symbol[\"text-translate-anchor\"])})},get layout(){return tf=tf||new le({\"symbol-placement\":new Da(ce.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Da(ce.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Da(ce.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new eo(ce.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Da(ce.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Da(ce.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Da(ce.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Da(ce.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Da(ce.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Da(ce.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new eo(ce.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Da(ce.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Da(ce.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new eo(ce.layout_symbol[\"icon-image\"]),\"icon-rotate\":new eo(ce.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new eo(ce.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Da(ce.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new eo(ce.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new eo(ce.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Da(ce.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Da(ce.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Da(ce.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new eo(ce.layout_symbol[\"text-field\"]),\"text-font\":new eo(ce.layout_symbol[\"text-font\"]),\"text-size\":new eo(ce.layout_symbol[\"text-size\"]),\"text-max-width\":new eo(ce.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Da(ce.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new eo(ce.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new eo(ce.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new eo(ce.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Da(ce.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new eo(ce.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new eo(ce.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Da(ce.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Da(ce.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new eo(ce.layout_symbol[\"text-rotate\"]),\"text-padding\":new Da(ce.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Da(ce.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new eo(ce.layout_symbol[\"text-transform\"]),\"text-offset\":new eo(ce.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Da(ce.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Da(ce.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Da(ce.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Da(ce.layout_symbol[\"text-optional\"])})}};class Zx{constructor(S){if(S.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=S.property.overrides?S.property.overrides.runtimeType:Lt,this.defaultValue=S}evaluate(S){if(S.formattedSection){let D=this.defaultValue.property.overrides;if(D&&D.hasOverride(S.formattedSection))return D.getOverride(S.formattedSection)}return S.feature&&S.featureState?this.defaultValue.evaluate(S.feature,S.featureState):this.defaultValue.property.specification.default}eachChild(S){this.defaultValue.isConstant()||S(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}mi(\"FormatSectionOverride\",Zx,{omit:[\"defaultValue\"]});class uy extends B{constructor(S){super(S,Dw)}recalculate(S,D){if(super.recalculate(S,D),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let j=this.layout.get(\"text-writing-mode\");if(j){let te=[];for(let ue of j)te.indexOf(ue)<0&&te.push(ue);this.layout._values[\"text-writing-mode\"]=te}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(S,D,j,te){let ue=this.layout.get(S).evaluate(D,{},j,te),ve=this._unevaluatedLayout._values[S];return ve.isDataDriven()||Lc(ve.value)||!ue?ue:function(De,Ze){return Ze.replace(/{([^{}]+)}/g,(at,Tt)=>De&&Tt in De?String(De[Tt]):\"\")}(D.properties,ue)}createBucket(S){return new E1(S)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let S of Dw.paint.overridableProperties){if(!uy.hasPaintOverride(this.layout,S))continue;let D=this.paint.get(S),j=new Zx(D),te=new Pu(j,D.property.specification),ue=null;ue=D.value.kind===\"constant\"||D.value.kind===\"source\"?new Xc(\"source\",te):new ic(\"composite\",te,D.value.zoomStops),this.paint._values[S]=new Du(D.property,ue,D.parameters)}}_handleOverridablePaintPropertyUpdate(S,D,j){return!(!this.layout||D.isDataDriven()||j.isDataDriven())&&uy.hasPaintOverride(this.layout,S)}static hasPaintOverride(S,D){let j=S.get(\"text-field\"),te=Dw.paint.properties[D],ue=!1,ve=De=>{for(let Ze of De)if(te.overrides&&te.overrides.hasOverride(Ze))return void(ue=!0)};if(j.value.kind===\"constant\"&&j.value.value instanceof Zr)ve(j.value.value.sections);else if(j.value.kind===\"source\"){let De=at=>{ue||(at instanceof jn&&Ki(at.value)===Br?ve(at.value.sections):at instanceof $l?ve(at.sections):at.eachChild(De))},Ze=j.value;Ze._styleExpression&&De(Ze._styleExpression.expression)}return ue}}let mC;var Xx={get paint(){return mC=mC||new le({\"background-color\":new Da(ce.paint_background[\"background-color\"]),\"background-pattern\":new yc(ce.paint_background[\"background-pattern\"]),\"background-opacity\":new Da(ce.paint_background[\"background-opacity\"])})}};class H9 extends B{constructor(S){super(S,Xx)}}let lS;var yC={get paint(){return lS=lS||new le({\"raster-opacity\":new Da(ce.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Da(ce.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Da(ce.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Da(ce.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Da(ce.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Da(ce.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Da(ce.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Da(ce.paint_raster[\"raster-fade-duration\"])})}};class Yx extends B{constructor(S){super(S,yC)}}class uS extends B{constructor(S){super(S,{}),this.onAdd=D=>{this.implementation.onAdd&&this.implementation.onAdd(D,D.painter.context.gl)},this.onRemove=D=>{this.implementation.onRemove&&this.implementation.onRemove(D,D.painter.context.gl)},this.implementation=S}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class cS{constructor(S){this._methodToThrottle=S,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(()=>{this._triggered=!1,this._methodToThrottle()},0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}let fS=63710088e-1;class dg{constructor(S,D){if(isNaN(S)||isNaN(D))throw new Error(`Invalid LngLat object: (${S}, ${D})`);if(this.lng=+S,this.lat=+D,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new dg(A(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(S){let D=Math.PI/180,j=this.lat*D,te=S.lat*D,ue=Math.sin(j)*Math.sin(te)+Math.cos(j)*Math.cos(te)*Math.cos((S.lng-this.lng)*D);return fS*Math.acos(Math.min(ue,1))}static convert(S){if(S instanceof dg)return S;if(Array.isArray(S)&&(S.length===2||S.length===3))return new dg(Number(S[0]),Number(S[1]));if(!Array.isArray(S)&&typeof S==\"object\"&&S!==null)return new dg(Number(\"lng\"in S?S.lng:S.lon),Number(S.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}let k1=2*Math.PI*fS;function _C(R){return k1*Math.cos(R*Math.PI/180)}function zw(R){return(180+R)/360}function xC(R){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R*Math.PI/360)))/360}function Fw(R,S){return R/_C(S)}function Kx(R){return 360/Math.PI*Math.atan(Math.exp((180-360*R)*Math.PI/180))-90}class Jx{constructor(S,D,j=0){this.x=+S,this.y=+D,this.z=+j}static fromLngLat(S,D=0){let j=dg.convert(S);return new Jx(zw(j.lng),xC(j.lat),Fw(D,j.lat))}toLngLat(){return new dg(360*this.x-180,Kx(this.y))}toAltitude(){return this.z*_C(Kx(this.y))}meterInMercatorCoordinateUnits(){return 1/k1*(S=Kx(this.y),1/Math.cos(S*Math.PI/180));var S}}function gp(R,S,D){var j=2*Math.PI*6378137/256/Math.pow(2,D);return[R*j-2*Math.PI*6378137/2,S*j-2*Math.PI*6378137/2]}class hS{constructor(S,D,j){if(!function(te,ue,ve){return!(te<0||te>25||ve<0||ve>=Math.pow(2,te)||ue<0||ue>=Math.pow(2,te))}(S,D,j))throw new Error(`x=${D}, y=${j}, z=${S} outside of bounds. 0<=x<${Math.pow(2,S)}, 0<=y<${Math.pow(2,S)} 0<=z<=25 `);this.z=S,this.x=D,this.y=j,this.key=$x(0,S,S,D,j)}equals(S){return this.z===S.z&&this.x===S.x&&this.y===S.y}url(S,D,j){let te=(ve=this.y,De=this.z,Ze=gp(256*(ue=this.x),256*(ve=Math.pow(2,De)-ve-1),De),at=gp(256*(ue+1),256*(ve+1),De),Ze[0]+\",\"+Ze[1]+\",\"+at[0]+\",\"+at[1]);var ue,ve,De,Ze,at;let Tt=function(Ft,Qt,sr){let Tr,Pr=\"\";for(let $r=Ft;$r>0;$r--)Tr=1<<$r-1,Pr+=(Qt&Tr?1:0)+(sr&Tr?2:0);return Pr}(this.z,this.x,this.y);return S[(this.x+this.y)%S.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(j===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,D>1?\"@2x\":\"\").replace(/{quadkey}/g,Tt).replace(/{bbox-epsg-3857}/g,te)}isChildOf(S){let D=this.z-S.z;return D>0&&S.x===this.x>>D&&S.y===this.y>>D}getTilePoint(S){let D=Math.pow(2,this.z);return new u((S.x*D-this.x)*za,(S.y*D-this.y)*za)}toString(){return`${this.z}/${this.x}/${this.y}`}}class bC{constructor(S,D){this.wrap=S,this.canonical=D,this.key=$x(S,D.z,D.z,D.x,D.y)}}class Jv{constructor(S,D,j,te,ue){if(S<j)throw new Error(`overscaledZ should be >= z; overscaledZ = ${S}; z = ${j}`);this.overscaledZ=S,this.wrap=D,this.canonical=new hS(j,+te,+ue),this.key=$x(D,S,j,te,ue)}clone(){return new Jv(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(S){return this.overscaledZ===S.overscaledZ&&this.wrap===S.wrap&&this.canonical.equals(S.canonical)}scaledTo(S){if(S>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${S}; overscaledZ = ${this.overscaledZ}`);let D=this.canonical.z-S;return S>this.canonical.z?new Jv(S,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Jv(S,this.wrap,S,this.canonical.x>>D,this.canonical.y>>D)}calculateScaledKey(S,D){if(S>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${S}; overscaledZ = ${this.overscaledZ}`);let j=this.canonical.z-S;return S>this.canonical.z?$x(this.wrap*+D,S,this.canonical.z,this.canonical.x,this.canonical.y):$x(this.wrap*+D,S,S,this.canonical.x>>j,this.canonical.y>>j)}isChildOf(S){if(S.wrap!==this.wrap)return!1;let D=this.canonical.z-S.canonical.z;return S.overscaledZ===0||S.overscaledZ<this.overscaledZ&&S.canonical.x===this.canonical.x>>D&&S.canonical.y===this.canonical.y>>D}children(S){if(this.overscaledZ>=S)return[new Jv(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let D=this.canonical.z+1,j=2*this.canonical.x,te=2*this.canonical.y;return[new Jv(D,this.wrap,D,j,te),new Jv(D,this.wrap,D,j+1,te),new Jv(D,this.wrap,D,j,te+1),new Jv(D,this.wrap,D,j+1,te+1)]}isLessThan(S){return this.wrap<S.wrap||!(this.wrap>S.wrap)&&(this.overscaledZ<S.overscaledZ||!(this.overscaledZ>S.overscaledZ)&&(this.canonical.x<S.canonical.x||!(this.canonical.x>S.canonical.x)&&this.canonical.y<S.canonical.y))}wrapped(){return new Jv(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(S){return new Jv(this.overscaledZ,S,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new bC(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(S){return this.canonical.getTilePoint(new Jx(S.x-this.wrap,S.y))}}function $x(R,S,D,j,te){(R*=2)<0&&(R=-1*R-1);let ue=1<<D;return(ue*ue*R+ue*te+j).toString(36)+D.toString(36)+S.toString(36)}mi(\"CanonicalTileID\",hS),mi(\"OverscaledTileID\",Jv,{omit:[\"posMatrix\"]});class wC{constructor(S,D,j,te=1,ue=1,ve=1,De=0){if(this.uid=S,D.height!==D.width)throw new RangeError(\"DEM tiles must be square\");if(j&&![\"mapbox\",\"terrarium\",\"custom\"].includes(j))return void T(`\"${j}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=D.height;let Ze=this.dim=D.height-2;switch(this.data=new Uint32Array(D.data.buffer),j){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=te,this.greenFactor=ue,this.blueFactor=ve,this.baseShift=De;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let at=0;at<Ze;at++)this.data[this._idx(-1,at)]=this.data[this._idx(0,at)],this.data[this._idx(Ze,at)]=this.data[this._idx(Ze-1,at)],this.data[this._idx(at,-1)]=this.data[this._idx(at,0)],this.data[this._idx(at,Ze)]=this.data[this._idx(at,Ze-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(Ze,-1)]=this.data[this._idx(Ze-1,0)],this.data[this._idx(-1,Ze)]=this.data[this._idx(0,Ze-1)],this.data[this._idx(Ze,Ze)]=this.data[this._idx(Ze-1,Ze-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let at=0;at<Ze;at++)for(let Tt=0;Tt<Ze;Tt++){let Ft=this.get(at,Tt);Ft>this.max&&(this.max=Ft),Ft<this.min&&(this.min=Ft)}}get(S,D){let j=new Uint8Array(this.data.buffer),te=4*this._idx(S,D);return this.unpack(j[te],j[te+1],j[te+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(S,D){if(S<-1||S>=this.dim+1||D<-1||D>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(D+1)*this.stride+(S+1)}unpack(S,D,j){return S*this.redFactor+D*this.greenFactor+j*this.blueFactor-this.baseShift}getPixels(){return new Jn({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(S,D,j){if(this.dim!==S.dim)throw new Error(\"dem dimension mismatch\");let te=D*this.dim,ue=D*this.dim+this.dim,ve=j*this.dim,De=j*this.dim+this.dim;switch(D){case-1:te=ue-1;break;case 1:ue=te+1}switch(j){case-1:ve=De-1;break;case 1:De=ve+1}let Ze=-D*this.dim,at=-j*this.dim;for(let Tt=ve;Tt<De;Tt++)for(let Ft=te;Ft<ue;Ft++)this.data[this._idx(Ft,Tt)]=S.data[this._idx(Ft+Ze,Tt+at)]}}mi(\"DEMData\",wC);class TC{constructor(S){this._stringToNumber={},this._numberToString=[];for(let D=0;D<S.length;D++){let j=S[D];this._stringToNumber[j]=D,this._numberToString[D]=j}}encode(S){return this._stringToNumber[S]}decode(S){if(S>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${S} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[S]}}class dS{constructor(S,D,j,te,ue){this.type=\"Feature\",this._vectorTileFeature=S,S._z=D,S._x=j,S._y=te,this.properties=S.properties,this.id=ue}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(S){this._geometry=S}toJSON(){let S={geometry:this.geometry};for(let D in this)D!==\"_geometry\"&&D!==\"_vectorTileFeature\"&&(S[D]=this[D]);return S}}class cy{constructor(S,D){this.tileID=S,this.x=S.canonical.x,this.y=S.canonical.y,this.z=S.canonical.z,this.grid=new qi(za,16,0),this.grid3D=new qi(za,16,0),this.featureIndexArray=new As,this.promoteId=D}insert(S,D,j,te,ue,ve){let De=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(j,te,ue);let Ze=ve?this.grid3D:this.grid;for(let at=0;at<D.length;at++){let Tt=D[at],Ft=[1/0,1/0,-1/0,-1/0];for(let Qt=0;Qt<Tt.length;Qt++){let sr=Tt[Qt];Ft[0]=Math.min(Ft[0],sr.x),Ft[1]=Math.min(Ft[1],sr.y),Ft[2]=Math.max(Ft[2],sr.x),Ft[3]=Math.max(Ft[3],sr.y)}Ft[0]<za&&Ft[1]<za&&Ft[2]>=0&&Ft[3]>=0&&Ze.insert(De,Ft[0],Ft[1],Ft[2],Ft[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new ei.VectorTile(new tS(this.rawTileData)).layers,this.sourceLayerCoder=new TC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(S,D,j,te){this.loadVTLayers();let ue=S.params||{},ve=za/S.tileSize/S.scale,De=Pc(ue.filter),Ze=S.queryGeometry,at=S.queryPadding*ve,Tt=SC(Ze),Ft=this.grid.query(Tt.minX-at,Tt.minY-at,Tt.maxX+at,Tt.maxY+at),Qt=SC(S.cameraQueryGeometry),sr=this.grid3D.query(Qt.minX-at,Qt.minY-at,Qt.maxX+at,Qt.maxY+at,($r,ni,Di,pi)=>function(ki,Zi,ta,Va,Io){for(let Hn of ki)if(Zi<=Hn.x&&ta<=Hn.y&&Va>=Hn.x&&Io>=Hn.y)return!0;let La=[new u(Zi,ta),new u(Zi,Io),new u(Va,Io),new u(Va,ta)];if(ki.length>2){for(let Hn of La)if(On(ki,Hn))return!0}for(let Hn=0;Hn<ki.length-1;Hn++)if(Bn(ki[Hn],ki[Hn+1],La))return!0;return!1}(S.cameraQueryGeometry,$r-at,ni-at,Di+at,pi+at));for(let $r of sr)Ft.push($r);Ft.sort(G9);let Tr={},Pr;for(let $r=0;$r<Ft.length;$r++){let ni=Ft[$r];if(ni===Pr)continue;Pr=ni;let Di=this.featureIndexArray.get(ni),pi=null;this.loadMatchingFeature(Tr,Di.bucketIndex,Di.sourceLayerIndex,Di.featureIndex,De,ue.layers,ue.availableImages,D,j,te,(ki,Zi,ta)=>(pi||(pi=js(ki)),Zi.queryIntersectsFeature(Ze,ki,ta,pi,this.z,S.transform,ve,S.pixelPosMatrix)))}return Tr}loadMatchingFeature(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft){let Qt=this.bucketLayerIDs[D];if(ve&&!function($r,ni){for(let Di=0;Di<$r.length;Di++)if(ni.indexOf($r[Di])>=0)return!0;return!1}(ve,Qt))return;let sr=this.sourceLayerCoder.decode(j),Tr=this.vtLayers[sr].feature(te);if(ue.needGeometry){let $r=xl(Tr,!0);if(!ue.filter(new Ko(this.tileID.overscaledZ),$r,this.tileID.canonical))return}else if(!ue.filter(new Ko(this.tileID.overscaledZ),Tr))return;let Pr=this.getId(Tr,sr);for(let $r=0;$r<Qt.length;$r++){let ni=Qt[$r];if(ve&&ve.indexOf(ni)<0)continue;let Di=Ze[ni];if(!Di)continue;let pi={};Pr&&Tt&&(pi=Tt.getState(Di.sourceLayer||\"_geojsonTileLayer\",Pr));let ki=L({},at[ni]);ki.paint=AC(ki.paint,Di.paint,Tr,pi,De),ki.layout=AC(ki.layout,Di.layout,Tr,pi,De);let Zi=!Ft||Ft(Tr,Di,pi);if(!Zi)continue;let ta=new dS(Tr,this.z,this.x,this.y,Pr);ta.layer=ki;let Va=S[ni];Va===void 0&&(Va=S[ni]=[]),Va.push({featureIndex:te,feature:ta,intersectionZ:Zi})}}lookupSymbolFeatures(S,D,j,te,ue,ve,De,Ze){let at={};this.loadVTLayers();let Tt=Pc(ue);for(let Ft of S)this.loadMatchingFeature(at,j,te,Ft,Tt,ve,De,Ze,D);return at}hasLayer(S){for(let D of this.bucketLayerIDs)for(let j of D)if(S===j)return!0;return!1}getId(S,D){let j=S.id;return this.promoteId&&(j=S.properties[typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[D]],typeof j==\"boolean\"&&(j=Number(j))),j}}function AC(R,S,D,j,te){return C(R,(ue,ve)=>{let De=S instanceof Dc?S.get(ve):null;return De&&De.evaluate?De.evaluate(D,j,te):De})}function SC(R){let S=1/0,D=1/0,j=-1/0,te=-1/0;for(let ue of R)S=Math.min(S,ue.x),D=Math.min(D,ue.y),j=Math.max(j,ue.x),te=Math.max(te,ue.y);return{minX:S,minY:D,maxX:j,maxY:te}}function G9(R,S){return S-R}function MC(R,S,D,j,te){let ue=[];for(let ve=0;ve<R.length;ve++){let De=R[ve],Ze;for(let at=0;at<De.length-1;at++){let Tt=De[at],Ft=De[at+1];Tt.x<S&&Ft.x<S||(Tt.x<S?Tt=new u(S,Tt.y+(S-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round():Ft.x<S&&(Ft=new u(S,Tt.y+(S-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round()),Tt.y<D&&Ft.y<D||(Tt.y<D?Tt=new u(Tt.x+(D-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),D)._round():Ft.y<D&&(Ft=new u(Tt.x+(D-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),D)._round()),Tt.x>=j&&Ft.x>=j||(Tt.x>=j?Tt=new u(j,Tt.y+(j-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round():Ft.x>=j&&(Ft=new u(j,Tt.y+(j-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round()),Tt.y>=te&&Ft.y>=te||(Tt.y>=te?Tt=new u(Tt.x+(te-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),te)._round():Ft.y>=te&&(Ft=new u(Tt.x+(te-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),te)._round()),Ze&&Tt.equals(Ze[Ze.length-1])||(Ze=[Tt],ue.push(Ze)),Ze.push(Ft)))))}}return ue}mi(\"FeatureIndex\",cy,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class vg extends u{constructor(S,D,j,te){super(S,D),this.angle=j,te!==void 0&&(this.segment=te)}clone(){return new vg(this.x,this.y,this.angle,this.segment)}}function vS(R,S,D,j,te){if(S.segment===void 0||D===0)return!0;let ue=S,ve=S.segment+1,De=0;for(;De>-D/2;){if(ve--,ve<0)return!1;De-=R[ve].dist(ue),ue=R[ve]}De+=R[ve].dist(R[ve+1]),ve++;let Ze=[],at=0;for(;De<D/2;){let Tt=R[ve],Ft=R[ve+1];if(!Ft)return!1;let Qt=R[ve-1].angleTo(Tt)-Tt.angleTo(Ft);for(Qt=Math.abs((Qt+3*Math.PI)%(2*Math.PI)-Math.PI),Ze.push({distance:De,angleDelta:Qt}),at+=Qt;De-Ze[0].distance>j;)at-=Ze.shift().angleDelta;if(at>te)return!1;ve++,De+=Tt.dist(Ft)}return!0}function EC(R){let S=0;for(let D=0;D<R.length-1;D++)S+=R[D].dist(R[D+1]);return S}function kC(R,S,D){return R?.6*S*D:0}function CC(R,S){return Math.max(R?R.right-R.left:0,S?S.right-S.left:0)}function j9(R,S,D,j,te,ue){let ve=kC(D,te,ue),De=CC(D,j)*ue,Ze=0,at=EC(R)/2;for(let Tt=0;Tt<R.length-1;Tt++){let Ft=R[Tt],Qt=R[Tt+1],sr=Ft.dist(Qt);if(Ze+sr>at){let Tr=(at-Ze)/sr,Pr=Mo.number(Ft.x,Qt.x,Tr),$r=Mo.number(Ft.y,Qt.y,Tr),ni=new vg(Pr,$r,Qt.angleTo(Ft),Tt);return ni._round(),!ve||vS(R,ni,De,ve,S)?ni:void 0}Ze+=sr}}function W9(R,S,D,j,te,ue,ve,De,Ze){let at=kC(j,ue,ve),Tt=CC(j,te),Ft=Tt*ve,Qt=R[0].x===0||R[0].x===Ze||R[0].y===0||R[0].y===Ze;return S-Ft<S/4&&(S=Ft+S/4),LC(R,Qt?S/2*De%S:(Tt/2+2*ue)*ve*De%S,S,at,D,Ft,Qt,!1,Ze)}function LC(R,S,D,j,te,ue,ve,De,Ze){let at=ue/2,Tt=EC(R),Ft=0,Qt=S-D,sr=[];for(let Tr=0;Tr<R.length-1;Tr++){let Pr=R[Tr],$r=R[Tr+1],ni=Pr.dist($r),Di=$r.angleTo(Pr);for(;Qt+D<Ft+ni;){Qt+=D;let pi=(Qt-Ft)/ni,ki=Mo.number(Pr.x,$r.x,pi),Zi=Mo.number(Pr.y,$r.y,pi);if(ki>=0&&ki<Ze&&Zi>=0&&Zi<Ze&&Qt-at>=0&&Qt+at<=Tt){let ta=new vg(ki,Zi,Di,Tr);ta._round(),j&&!vS(R,ta,ue,j,te)||sr.push(ta)}}Ft+=ni}return De||sr.length||ve||(sr=LC(R,Ft/2,D,j,te,ue,ve,!0,Ze)),sr}mi(\"Anchor\",vg);let C1=wd;function PC(R,S,D,j){let te=[],ue=R.image,ve=ue.pixelRatio,De=ue.paddedRect.w-2*C1,Ze=ue.paddedRect.h-2*C1,at={x1:R.left,y1:R.top,x2:R.right,y2:R.bottom},Tt=ue.stretchX||[[0,De]],Ft=ue.stretchY||[[0,Ze]],Qt=(Tn,bo)=>Tn+bo[1]-bo[0],sr=Tt.reduce(Qt,0),Tr=Ft.reduce(Qt,0),Pr=De-sr,$r=Ze-Tr,ni=0,Di=sr,pi=0,ki=Tr,Zi=0,ta=Pr,Va=0,Io=$r;if(ue.content&&j){let Tn=ue.content,bo=Tn[2]-Tn[0],Ya=Tn[3]-Tn[1];(ue.textFitWidth||ue.textFitHeight)&&(at=vC(R)),ni=pg(Tt,0,Tn[0]),pi=pg(Ft,0,Tn[1]),Di=pg(Tt,Tn[0],Tn[2]),ki=pg(Ft,Tn[1],Tn[3]),Zi=Tn[0]-ni,Va=Tn[1]-pi,ta=bo-Di,Io=Ya-ki}let La=at.x1,Hn=at.y1,lo=at.x2-La,$a=at.y2-Hn,Xa=(Tn,bo,Ya,Uo)=>{let wu=qw(Tn.stretch-ni,Di,lo,La),hu=L1(Tn.fixed-Zi,ta,Tn.stretch,sr),uh=qw(bo.stretch-pi,ki,$a,Hn),$v=L1(bo.fixed-Va,Io,bo.stretch,Tr),td=qw(Ya.stretch-ni,Di,lo,La),ch=L1(Ya.fixed-Zi,ta,Ya.stretch,sr),Ud=qw(Uo.stretch-pi,ki,$a,Hn),Vd=L1(Uo.fixed-Va,Io,Uo.stretch,Tr),Hd=new u(wu,uh),rf=new u(td,uh),fh=new u(td,Ud),Td=new u(wu,Ud),rd=new u(hu/ve,$v/ve),Dh=new u(ch/ve,Vd/ve),xf=S*Math.PI/180;if(xf){let Cl=Math.sin(xf),qu=Math.cos(xf),Tu=[qu,-Cl,Cl,qu];Hd._matMult(Tu),rf._matMult(Tu),Td._matMult(Tu),fh._matMult(Tu)}let Iv=Tn.stretch+Tn.fixed,lv=bo.stretch+bo.fixed;return{tl:Hd,tr:rf,bl:Td,br:fh,tex:{x:ue.paddedRect.x+C1+Iv,y:ue.paddedRect.y+C1+lv,w:Ya.stretch+Ya.fixed-Iv,h:Uo.stretch+Uo.fixed-lv},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:rd,pixelOffsetBR:Dh,minFontScaleX:ta/ve/lo,minFontScaleY:Io/ve/$a,isSDF:D}};if(j&&(ue.stretchX||ue.stretchY)){let Tn=IC(Tt,Pr,sr),bo=IC(Ft,$r,Tr);for(let Ya=0;Ya<Tn.length-1;Ya++){let Uo=Tn[Ya],wu=Tn[Ya+1];for(let hu=0;hu<bo.length-1;hu++)te.push(Xa(Uo,bo[hu],wu,bo[hu+1]))}}else te.push(Xa({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:De+1},{fixed:0,stretch:Ze+1}));return te}function pg(R,S,D){let j=0;for(let te of R)j+=Math.max(S,Math.min(D,te[1]))-Math.max(S,Math.min(D,te[0]));return j}function IC(R,S,D){let j=[{fixed:-C1,stretch:0}];for(let[te,ue]of R){let ve=j[j.length-1];j.push({fixed:te-ve.stretch,stretch:ve.stretch}),j.push({fixed:te-ve.stretch,stretch:ve.stretch+(ue-te)})}return j.push({fixed:S+C1,stretch:D}),j}function qw(R,S,D,j){return R/S*D+j}function L1(R,S,D,j){return R-S*D/j}class cm{constructor(S,D,j,te,ue,ve,De,Ze,at,Tt){var Ft;if(this.boxStartIndex=S.length,at){let Qt=ve.top,sr=ve.bottom,Tr=ve.collisionPadding;Tr&&(Qt-=Tr[1],sr+=Tr[3]);let Pr=sr-Qt;Pr>0&&(Pr=Math.max(10,Pr),this.circleDiameter=Pr)}else{let Qt=!((Ft=ve.image)===null||Ft===void 0)&&Ft.content&&(ve.image.textFitWidth||ve.image.textFitHeight)?vC(ve):{x1:ve.left,y1:ve.top,x2:ve.right,y2:ve.bottom};Qt.y1=Qt.y1*De-Ze[0],Qt.y2=Qt.y2*De+Ze[2],Qt.x1=Qt.x1*De-Ze[3],Qt.x2=Qt.x2*De+Ze[1];let sr=ve.collisionPadding;if(sr&&(Qt.x1-=sr[0]*De,Qt.y1-=sr[1]*De,Qt.x2+=sr[2]*De,Qt.y2+=sr[3]*De),Tt){let Tr=new u(Qt.x1,Qt.y1),Pr=new u(Qt.x2,Qt.y1),$r=new u(Qt.x1,Qt.y2),ni=new u(Qt.x2,Qt.y2),Di=Tt*Math.PI/180;Tr._rotate(Di),Pr._rotate(Di),$r._rotate(Di),ni._rotate(Di),Qt.x1=Math.min(Tr.x,Pr.x,$r.x,ni.x),Qt.x2=Math.max(Tr.x,Pr.x,$r.x,ni.x),Qt.y1=Math.min(Tr.y,Pr.y,$r.y,ni.y),Qt.y2=Math.max(Tr.y,Pr.y,$r.y,ni.y)}S.emplaceBack(D.x,D.y,Qt.x1,Qt.y1,Qt.x2,Qt.y2,j,te,ue)}this.boxEndIndex=S.length}}class Hp{constructor(S=[],D=(j,te)=>j<te?-1:j>te?1:0){if(this.data=S,this.length=this.data.length,this.compare=D,this.length>0)for(let j=(this.length>>1)-1;j>=0;j--)this._down(j)}push(S){this.data.push(S),this._up(this.length++)}pop(){if(this.length===0)return;let S=this.data[0],D=this.data.pop();return--this.length>0&&(this.data[0]=D,this._down(0)),S}peek(){return this.data[0]}_up(S){let{data:D,compare:j}=this,te=D[S];for(;S>0;){let ue=S-1>>1,ve=D[ue];if(j(te,ve)>=0)break;D[S]=ve,S=ue}D[S]=te}_down(S){let{data:D,compare:j}=this,te=this.length>>1,ue=D[S];for(;S<te;){let ve=1+(S<<1),De=ve+1;if(De<this.length&&j(D[De],D[ve])<0&&(ve=De),j(D[ve],ue)>=0)break;D[S]=D[ve],S=ve}D[S]=ue}}function Z9(R,S=1,D=!1){let j=1/0,te=1/0,ue=-1/0,ve=-1/0,De=R[0];for(let sr=0;sr<De.length;sr++){let Tr=De[sr];(!sr||Tr.x<j)&&(j=Tr.x),(!sr||Tr.y<te)&&(te=Tr.y),(!sr||Tr.x>ue)&&(ue=Tr.x),(!sr||Tr.y>ve)&&(ve=Tr.y)}let Ze=Math.min(ue-j,ve-te),at=Ze/2,Tt=new Hp([],X9);if(Ze===0)return new u(j,te);for(let sr=j;sr<ue;sr+=Ze)for(let Tr=te;Tr<ve;Tr+=Ze)Tt.push(new P1(sr+at,Tr+at,at,R));let Ft=function(sr){let Tr=0,Pr=0,$r=0,ni=sr[0];for(let Di=0,pi=ni.length,ki=pi-1;Di<pi;ki=Di++){let Zi=ni[Di],ta=ni[ki],Va=Zi.x*ta.y-ta.x*Zi.y;Pr+=(Zi.x+ta.x)*Va,$r+=(Zi.y+ta.y)*Va,Tr+=3*Va}return new P1(Pr/Tr,$r/Tr,0,sr)}(R),Qt=Tt.length;for(;Tt.length;){let sr=Tt.pop();(sr.d>Ft.d||!Ft.d)&&(Ft=sr,D&&console.log(\"found best %d after %d probes\",Math.round(1e4*sr.d)/1e4,Qt)),sr.max-Ft.d<=S||(at=sr.h/2,Tt.push(new P1(sr.p.x-at,sr.p.y-at,at,R)),Tt.push(new P1(sr.p.x+at,sr.p.y-at,at,R)),Tt.push(new P1(sr.p.x-at,sr.p.y+at,at,R)),Tt.push(new P1(sr.p.x+at,sr.p.y+at,at,R)),Qt+=4)}return D&&(console.log(`num probes: ${Qt}`),console.log(`best distance: ${Ft.d}`)),Ft.p}function X9(R,S){return S.max-R.max}function P1(R,S,D,j){this.p=new u(R,S),this.h=D,this.d=function(te,ue){let ve=!1,De=1/0;for(let Ze=0;Ze<ue.length;Ze++){let at=ue[Ze];for(let Tt=0,Ft=at.length,Qt=Ft-1;Tt<Ft;Qt=Tt++){let sr=at[Tt],Tr=at[Qt];sr.y>te.y!=Tr.y>te.y&&te.x<(Tr.x-sr.x)*(te.y-sr.y)/(Tr.y-sr.y)+sr.x&&(ve=!ve),De=Math.min(De,Bi(te,sr,Tr))}}return(ve?1:-1)*Math.sqrt(De)}(this.p,j),this.max=this.d+this.h*Math.SQRT2}var ed;i.aq=void 0,(ed=i.aq||(i.aq={}))[ed.center=1]=\"center\",ed[ed.left=2]=\"left\",ed[ed.right=3]=\"right\",ed[ed.top=4]=\"top\",ed[ed.bottom=5]=\"bottom\",ed[ed[\"top-left\"]=6]=\"top-left\",ed[ed[\"top-right\"]=7]=\"top-right\",ed[ed[\"bottom-left\"]=8]=\"bottom-left\",ed[ed[\"bottom-right\"]=9]=\"bottom-right\";let fm=7,fy=Number.POSITIVE_INFINITY;function pS(R,S){return S[1]!==fy?function(D,j,te){let ue=0,ve=0;switch(j=Math.abs(j),te=Math.abs(te),D){case\"top-right\":case\"top-left\":case\"top\":ve=te-fm;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":ve=-te+fm}switch(D){case\"top-right\":case\"bottom-right\":case\"right\":ue=-j;break;case\"top-left\":case\"bottom-left\":case\"left\":ue=j}return[ue,ve]}(R,S[0],S[1]):function(D,j){let te=0,ue=0;j<0&&(j=0);let ve=j/Math.SQRT2;switch(D){case\"top-right\":case\"top-left\":ue=ve-fm;break;case\"bottom-right\":case\"bottom-left\":ue=-ve+fm;break;case\"bottom\":ue=-j+fm;break;case\"top\":ue=j-fm}switch(D){case\"top-right\":case\"bottom-right\":te=-ve;break;case\"top-left\":case\"bottom-left\":te=ve;break;case\"left\":te=j;break;case\"right\":te=-j}return[te,ue]}(R,S[0])}function RC(R,S,D){var j;let te=R.layout,ue=(j=te.get(\"text-variable-anchor-offset\"))===null||j===void 0?void 0:j.evaluate(S,{},D);if(ue){let De=ue.values,Ze=[];for(let at=0;at<De.length;at+=2){let Tt=Ze[at]=De[at],Ft=De[at+1].map(Qt=>Qt*kl);Tt.startsWith(\"top\")?Ft[1]-=fm:Tt.startsWith(\"bottom\")&&(Ft[1]+=fm),Ze[at+1]=Ft}return new Si(Ze)}let ve=te.get(\"text-variable-anchor\");if(ve){let De;De=R._unevaluatedLayout.getValue(\"text-radial-offset\")!==void 0?[te.get(\"text-radial-offset\").evaluate(S,{},D)*kl,fy]:te.get(\"text-offset\").evaluate(S,{},D).map(at=>at*kl);let Ze=[];for(let at of ve)Ze.push(at,pS(at,De));return new Si(Ze)}return null}function gS(R){switch(R){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function Y9(R,S,D,j,te,ue,ve,De,Ze,at,Tt){let Ft=ue.textMaxSize.evaluate(S,{});Ft===void 0&&(Ft=ve);let Qt=R.layers[0].layout,sr=Qt.get(\"icon-offset\").evaluate(S,{},Tt),Tr=zC(D.horizontal),Pr=ve/24,$r=R.tilePixelRatio*Pr,ni=R.tilePixelRatio*Ft/24,Di=R.tilePixelRatio*De,pi=R.tilePixelRatio*Qt.get(\"symbol-spacing\"),ki=Qt.get(\"text-padding\")*R.tilePixelRatio,Zi=function(Tn,bo,Ya,Uo=1){let wu=Tn.get(\"icon-padding\").evaluate(bo,{},Ya),hu=wu&&wu.values;return[hu[0]*Uo,hu[1]*Uo,hu[2]*Uo,hu[3]*Uo]}(Qt,S,Tt,R.tilePixelRatio),ta=Qt.get(\"text-max-angle\")/180*Math.PI,Va=Qt.get(\"text-rotation-alignment\")!==\"viewport\"&&Qt.get(\"symbol-placement\")!==\"point\",Io=Qt.get(\"icon-rotation-alignment\")===\"map\"&&Qt.get(\"symbol-placement\")!==\"point\",La=Qt.get(\"symbol-placement\"),Hn=pi/2,lo=Qt.get(\"icon-text-fit\"),$a;j&&lo!==\"none\"&&(R.allowVerticalPlacement&&D.vertical&&($a=pC(j,D.vertical,lo,Qt.get(\"icon-text-fit-padding\"),sr,Pr)),Tr&&(j=pC(j,Tr,lo,Qt.get(\"icon-text-fit-padding\"),sr,Pr)));let Xa=(Tn,bo)=>{bo.x<0||bo.x>=za||bo.y<0||bo.y>=za||function(Ya,Uo,wu,hu,uh,$v,td,ch,Ud,Vd,Hd,rf,fh,Td,rd,Dh,xf,Iv,lv,Cl,qu,Tu,Rv,qc,I1){let p0=Ya.addToLineVertexArray(Uo,wu),Gp,Qv,oc,If,ep=0,gg=0,uv=0,R1=0,bS=-1,Uw=-1,g0={},hy=ui(\"\");if(Ya.allowVerticalPlacement&&hu.vertical){let Ad=ch.layout.get(\"text-rotate\").evaluate(qu,{},qc)+90;oc=new 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xe={},Se={featureIndex:Le,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:Ve},lt=Ye.familiesBySource[this.source];for(let _n in lt){let $i=Ne.layers[_n];if(!$i)continue;$i.version===1&&i.w(`Vector tile source \"${this.source}\" layer \"${_n}\" does not use vector tile spec v2 and therefore may have some rendering errors.`);let zn=ht.encode(_n),Wn=[];for(let It=0;It<$i.length;It++){let ft=$i.feature(It),jt=Le.getId(ft,_n);Wn.push({feature:ft,id:jt,index:It,sourceLayerIndex:zn})}for(let It of lt[_n]){let ft=It[0];ft.source!==this.source&&i.w(`layer.source = ${ft.source} does not equal this.source = 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Ye=Ne.uid;if(!this.loaded||!this.loaded[Ye])throw new Error(\"Should not be trying to reload a tile that was never loaded or has been removed\");let Ve=this.loaded[Ye];if(Ve.showCollisionBoxes=Ne.showCollisionBoxes,Ve.status===\"parsing\"){let Xe=yield Ve.parse(Ve.vectorTile,this.layerIndex,this.availableImages,this.actor),ht;if(this.fetching[Ye]){let{rawTileData:Le,cacheControl:xe,resourceTiming:Se}=this.fetching[Ye];delete this.fetching[Ye],ht=i.e({rawTileData:Le.slice(0)},Xe,xe,Se)}else ht=Xe;return ht}if(Ve.status===\"done\"&&Ve.vectorTile)return Ve.parse(Ve.vectorTile,this.layerIndex,this.availableImages,this.actor)})}abortTile(Ne){return i._(this,void 0,void 0,function*(){let Ye=this.loading,Ve=Ne.uid;Ye&&Ye[Ve]&&Ye[Ve].abort&&(Ye[Ve].abort.abort(),delete Ye[Ve])})}removeTile(Ne){return i._(this,void 0,void 0,function*(){this.loaded&&this.loaded[Ne.uid]&&delete this.loaded[Ne.uid]})}}class c{constructor(){this.loaded={}}loadTile(Ne){return i._(this,void 0,void 0,function*(){let{uid:Ye,encoding:Ve,rawImageData:Xe,redFactor:ht,greenFactor:Le,blueFactor:xe,baseShift:Se}=Ne,lt=Xe.width+2,Gt=Xe.height+2,Vt=i.b(Xe)?new i.R({width:lt,height:Gt},yield i.bw(Xe,-1,-1,lt,Gt)):Xe,ar=new i.bx(Ye,Vt,Ve,ht,Le,xe,Se);return this.loaded=this.loaded||{},this.loaded[Ye]=ar,ar})}removeTile(Ne){let Ye=this.loaded,Ve=Ne.uid;Ye&&Ye[Ve]&&delete Ye[Ve]}}function f(ut,Ne){if(ut.length!==0){h(ut[0],Ne);for(var Ye=1;Ye<ut.length;Ye++)h(ut[Ye],!Ne)}}function h(ut,Ne){for(var Ye=0,Ve=0,Xe=0,ht=ut.length,Le=ht-1;Xe<ht;Le=Xe++){var xe=(ut[Xe][0]-ut[Le][0])*(ut[Le][1]+ut[Xe][1]),Se=Ye+xe;Ve+=Math.abs(Ye)>=Math.abs(xe)?Ye-Se+xe:xe-Se+Ye,Ye=Se}Ye+Ve>=0!=!!Ne&&ut.reverse()}var d=i.by(function ut(Ne,Ye){var Ve,Xe=Ne&&Ne.type;if(Xe===\"FeatureCollection\")for(Ve=0;Ve<Ne.features.length;Ve++)ut(Ne.features[Ve],Ye);else if(Xe===\"GeometryCollection\")for(Ve=0;Ve<Ne.geometries.length;Ve++)ut(Ne.geometries[Ve],Ye);else if(Xe===\"Feature\")ut(Ne.geometry,Ye);else if(Xe===\"Polygon\")f(Ne.coordinates,Ye);else if(Xe===\"MultiPolygon\")for(Ve=0;Ve<Ne.coordinates.length;Ve++)f(Ne.coordinates[Ve],Ye);return Ne});let v=i.bt.VectorTileFeature.prototype.toGeoJSON;var x={exports:{}},b=i.bz,g=i.bt.VectorTileFeature,E=k;function k(ut,Ne){this.options=Ne||{},this.features=ut,this.length=ut.length}function A(ut,Ne){this.id=typeof ut.id==\"number\"?ut.id:void 0,this.type=ut.type,this.rawGeometry=ut.type===1?[ut.geometry]:ut.geometry,this.properties=ut.tags,this.extent=Ne||4096}k.prototype.feature=function(ut){return new A(this.features[ut],this.options.extent)},A.prototype.loadGeometry=function(){var ut=this.rawGeometry;this.geometry=[];for(var Ne=0;Ne<ut.length;Ne++){for(var Ye=ut[Ne],Ve=[],Xe=0;Xe<Ye.length;Xe++)Ve.push(new b(Ye[Xe][0],Ye[Xe][1]));this.geometry.push(Ve)}return this.geometry},A.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var ut=this.geometry,Ne=1/0,Ye=-1/0,Ve=1/0,Xe=-1/0,ht=0;ht<ut.length;ht++)for(var Le=ut[ht],xe=0;xe<Le.length;xe++){var Se=Le[xe];Ne=Math.min(Ne,Se.x),Ye=Math.max(Ye,Se.x),Ve=Math.min(Ve,Se.y),Xe=Math.max(Xe,Se.y)}return[Ne,Ve,Ye,Xe]},A.prototype.toGeoJSON=g.prototype.toGeoJSON;var L=i.bA,_=E;function C(ut){var Ne=new L;return function(Ye,Ve){for(var Xe in Ye.layers)Ve.writeMessage(3,M,Ye.layers[Xe])}(ut,Ne),Ne.finish()}function M(ut,Ne){var Ye;Ne.writeVarintField(15,ut.version||1),Ne.writeStringField(1,ut.name||\"\"),Ne.writeVarintField(5,ut.extent||4096);var Ve={keys:[],values:[],keycache:{},valuecache:{}};for(Ye=0;Ye<ut.length;Ye++)Ve.feature=ut.feature(Ye),Ne.writeMessage(2,p,Ve);var Xe=Ve.keys;for(Ye=0;Ye<Xe.length;Ye++)Ne.writeStringField(3,Xe[Ye]);var ht=Ve.values;for(Ye=0;Ye<ht.length;Ye++)Ne.writeMessage(4,V,ht[Ye])}function p(ut,Ne){var Ye=ut.feature;Ye.id!==void 0&&Ne.writeVarintField(1,Ye.id),Ne.writeMessage(2,P,ut),Ne.writeVarintField(3,Ye.type),Ne.writeMessage(4,q,Ye)}function P(ut,Ne){var Ye=ut.feature,Ve=ut.keys,Xe=ut.values,ht=ut.keycache,Le=ut.valuecache;for(var xe in Ye.properties){var Se=Ye.properties[xe],lt=ht[xe];if(Se!==null){lt===void 0&&(Ve.push(xe),ht[xe]=lt=Ve.length-1),Ne.writeVarint(lt);var Gt=typeof Se;Gt!==\"string\"&&Gt!==\"boolean\"&&Gt!==\"number\"&&(Se=JSON.stringify(Se));var Vt=Gt+\":\"+Se,ar=Le[Vt];ar===void 0&&(Xe.push(Se),Le[Vt]=ar=Xe.length-1),Ne.writeVarint(ar)}}}function T(ut,Ne){return(Ne<<3)+(7&ut)}function F(ut){return ut<<1^ut>>31}function q(ut,Ne){for(var Ye=ut.loadGeometry(),Ve=ut.type,Xe=0,ht=0,Le=Ye.length,xe=0;xe<Le;xe++){var Se=Ye[xe],lt=1;Ve===1&&(lt=Se.length),Ne.writeVarint(T(1,lt));for(var Gt=Ve===3?Se.length-1:Se.length,Vt=0;Vt<Gt;Vt++){Vt===1&&Ve!==1&&Ne.writeVarint(T(2,Gt-1));var ar=Se[Vt].x-Xe,Qr=Se[Vt].y-ht;Ne.writeVarint(F(ar)),Ne.writeVarint(F(Qr)),Xe+=ar,ht+=Qr}Ve===3&&Ne.writeVarint(T(7,1))}}function V(ut,Ne){var Ye=typeof ut;Ye===\"string\"?Ne.writeStringField(1,ut):Ye===\"boolean\"?Ne.writeBooleanField(7,ut):Ye===\"number\"&&(ut%1!=0?Ne.writeDoubleField(3,ut):ut<0?Ne.writeSVarintField(6,ut):Ne.writeVarintField(5,ut))}x.exports=C,x.exports.fromVectorTileJs=C,x.exports.fromGeojsonVt=function(ut,Ne){Ne=Ne||{};var Ye={};for(var Ve in ut)Ye[Ve]=new _(ut[Ve].features,Ne),Ye[Ve].name=Ve,Ye[Ve].version=Ne.version,Ye[Ve].extent=Ne.extent;return C({layers:Ye})},x.exports.GeoJSONWrapper=_;var H=i.by(x.exports);let X={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:ut=>ut},G=Math.fround||(N=new Float32Array(1),ut=>(N[0]=+ut,N[0]));var N;let W=3,re=5,ae=6;class _e{constructor(Ne){this.options=Object.assign(Object.create(X),Ne),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Ne){let{log:Ye,minZoom:Ve,maxZoom:Xe}=this.options;Ye&&console.time(\"total time\");let ht=`prepare ${Ne.length} points`;Ye&&console.time(ht),this.points=Ne;let Le=[];for(let Se=0;Se<Ne.length;Se++){let lt=Ne[Se];if(!lt.geometry)continue;let[Gt,Vt]=lt.geometry.coordinates,ar=G(ge(Gt)),Qr=G(ie(Vt));Le.push(ar,Qr,1/0,Se,-1,1),this.options.reduce&&Le.push(0)}let xe=this.trees[Xe+1]=this._createTree(Le);Ye&&console.timeEnd(ht);for(let Se=Xe;Se>=Ve;Se--){let lt=+Date.now();xe=this.trees[Se]=this._createTree(this._cluster(xe,Se)),Ye&&console.log(\"z%d: %d clusters in %dms\",Se,xe.numItems,+Date.now()-lt)}return Ye&&console.timeEnd(\"total time\"),this}getClusters(Ne,Ye){let Ve=((Ne[0]+180)%360+360)%360-180,Xe=Math.max(-90,Math.min(90,Ne[1])),ht=Ne[2]===180?180:((Ne[2]+180)%360+360)%360-180,Le=Math.max(-90,Math.min(90,Ne[3]));if(Ne[2]-Ne[0]>=360)Ve=-180,ht=180;else if(Ve>ht){let Vt=this.getClusters([Ve,Xe,180,Le],Ye),ar=this.getClusters([-180,Xe,ht,Le],Ye);return Vt.concat(ar)}let xe=this.trees[this._limitZoom(Ye)],Se=xe.range(ge(Ve),ie(Le),ge(ht),ie(Xe)),lt=xe.data,Gt=[];for(let Vt of Se){let ar=this.stride*Vt;Gt.push(lt[ar+re]>1?Me(lt,ar,this.clusterProps):this.points[lt[ar+W]])}return Gt}getChildren(Ne){let Ye=this._getOriginId(Ne),Ve=this._getOriginZoom(Ne),Xe=\"No cluster with the specified id.\",ht=this.trees[Ve];if(!ht)throw new Error(Xe);let Le=ht.data;if(Ye*this.stride>=Le.length)throw new Error(Xe);let xe=this.options.radius/(this.options.extent*Math.pow(2,Ve-1)),Se=ht.within(Le[Ye*this.stride],Le[Ye*this.stride+1],xe),lt=[];for(let Gt of Se){let Vt=Gt*this.stride;Le[Vt+4]===Ne&&lt.push(Le[Vt+re]>1?Me(Le,Vt,this.clusterProps):this.points[Le[Vt+W]])}if(lt.length===0)throw new Error(Xe);return lt}getLeaves(Ne,Ye,Ve){let Xe=[];return this._appendLeaves(Xe,Ne,Ye=Ye||10,Ve=Ve||0,0),Xe}getTile(Ne,Ye,Ve){let Xe=this.trees[this._limitZoom(Ne)],ht=Math.pow(2,Ne),{extent:Le,radius:xe}=this.options,Se=xe/Le,lt=(Ve-Se)/ht,Gt=(Ve+1+Se)/ht,Vt={features:[]};return this._addTileFeatures(Xe.range((Ye-Se)/ht,lt,(Ye+1+Se)/ht,Gt),Xe.data,Ye,Ve,ht,Vt),Ye===0&&this._addTileFeatures(Xe.range(1-Se/ht,lt,1,Gt),Xe.data,ht,Ve,ht,Vt),Ye===ht-1&&this._addTileFeatures(Xe.range(0,lt,Se/ht,Gt),Xe.data,-1,Ve,ht,Vt),Vt.features.length?Vt:null}getClusterExpansionZoom(Ne){let Ye=this._getOriginZoom(Ne)-1;for(;Ye<=this.options.maxZoom;){let Ve=this.getChildren(Ne);if(Ye++,Ve.length!==1)break;Ne=Ve[0].properties.cluster_id}return Ye}_appendLeaves(Ne,Ye,Ve,Xe,ht){let Le=this.getChildren(Ye);for(let xe of Le){let Se=xe.properties;if(Se&&Se.cluster?ht+Se.point_count<=Xe?ht+=Se.point_count:ht=this._appendLeaves(Ne,Se.cluster_id,Ve,Xe,ht):ht<Xe?ht++:Ne.push(xe),Ne.length===Ve)break}return ht}_createTree(Ne){let Ye=new i.av(Ne.length/this.stride|0,this.options.nodeSize,Float32Array);for(let Ve=0;Ve<Ne.length;Ve+=this.stride)Ye.add(Ne[Ve],Ne[Ve+1]);return Ye.finish(),Ye.data=Ne,Ye}_addTileFeatures(Ne,Ye,Ve,Xe,ht,Le){for(let xe of Ne){let Se=xe*this.stride,lt=Ye[Se+re]>1,Gt,Vt,ar;if(lt)Gt=ke(Ye,Se,this.clusterProps),Vt=Ye[Se],ar=Ye[Se+1];else{let jr=this.points[Ye[Se+W]];Gt=jr.properties;let[ri,bi]=jr.geometry.coordinates;Vt=ge(ri),ar=ie(bi)}let Qr={type:1,geometry:[[Math.round(this.options.extent*(Vt*ht-Ve)),Math.round(this.options.extent*(ar*ht-Xe))]],tags:Gt},ai;ai=lt||this.options.generateId?Ye[Se+W]:this.points[Ye[Se+W]].id,ai!==void 0&&(Qr.id=ai),Le.features.push(Qr)}}_limitZoom(Ne){return Math.max(this.options.minZoom,Math.min(Math.floor(+Ne),this.options.maxZoom+1))}_cluster(Ne,Ye){let{radius:Ve,extent:Xe,reduce:ht,minPoints:Le}=this.options,xe=Ve/(Xe*Math.pow(2,Ye)),Se=Ne.data,lt=[],Gt=this.stride;for(let Vt=0;Vt<Se.length;Vt+=Gt){if(Se[Vt+2]<=Ye)continue;Se[Vt+2]=Ye;let ar=Se[Vt],Qr=Se[Vt+1],ai=Ne.within(Se[Vt],Se[Vt+1],xe),jr=Se[Vt+re],ri=jr;for(let bi of ai){let nn=bi*Gt;Se[nn+2]>Ye&&(ri+=Se[nn+re])}if(ri>jr&&ri>=Le){let bi,nn=ar*jr,Wi=Qr*jr,Ni=-1,_n=((Vt/Gt|0)<<5)+(Ye+1)+this.points.length;for(let $i of ai){let zn=$i*Gt;if(Se[zn+2]<=Ye)continue;Se[zn+2]=Ye;let Wn=Se[zn+re];nn+=Se[zn]*Wn,Wi+=Se[zn+1]*Wn,Se[zn+4]=_n,ht&&(bi||(bi=this._map(Se,Vt,!0),Ni=this.clusterProps.length,this.clusterProps.push(bi)),ht(bi,this._map(Se,zn)))}Se[Vt+4]=_n,lt.push(nn/ri,Wi/ri,1/0,_n,-1,ri),ht&&lt.push(Ni)}else{for(let bi=0;bi<Gt;bi++)lt.push(Se[Vt+bi]);if(ri>1)for(let bi of ai){let nn=bi*Gt;if(!(Se[nn+2]<=Ye)){Se[nn+2]=Ye;for(let Wi=0;Wi<Gt;Wi++)lt.push(Se[nn+Wi])}}}}return lt}_getOriginId(Ne){return Ne-this.points.length>>5}_getOriginZoom(Ne){return(Ne-this.points.length)%32}_map(Ne,Ye,Ve){if(Ne[Ye+re]>1){let Le=this.clusterProps[Ne[Ye+ae]];return Ve?Object.assign({},Le):Le}let Xe=this.points[Ne[Ye+W]].properties,ht=this.options.map(Xe);return Ve&&ht===Xe?Object.assign({},ht):ht}}function Me(ut,Ne,Ye){return{type:\"Feature\",id:ut[Ne+W],properties:ke(ut,Ne,Ye),geometry:{type:\"Point\",coordinates:[(Ve=ut[Ne],360*(Ve-.5)),Te(ut[Ne+1])]}};var Ve}function ke(ut,Ne,Ye){let Ve=ut[Ne+re],Xe=Ve>=1e4?`${Math.round(Ve/1e3)}k`:Ve>=1e3?Math.round(Ve/100)/10+\"k\":Ve,ht=ut[Ne+ae],Le=ht===-1?{}:Object.assign({},Ye[ht]);return Object.assign(Le,{cluster:!0,cluster_id:ut[Ne+W],point_count:Ve,point_count_abbreviated:Xe})}function ge(ut){return ut/360+.5}function ie(ut){let Ne=Math.sin(ut*Math.PI/180),Ye=.5-.25*Math.log((1+Ne)/(1-Ne))/Math.PI;return Ye<0?0:Ye>1?1:Ye}function Te(ut){let Ne=(180-360*ut)*Math.PI/180;return 360*Math.atan(Math.exp(Ne))/Math.PI-90}function Ee(ut,Ne,Ye,Ve){let Xe=Ve,ht=Ne+(Ye-Ne>>1),Le,xe=Ye-Ne,Se=ut[Ne],lt=ut[Ne+1],Gt=ut[Ye],Vt=ut[Ye+1];for(let ar=Ne+3;ar<Ye;ar+=3){let Qr=Ae(ut[ar],ut[ar+1],Se,lt,Gt,Vt);if(Qr>Xe)Le=ar,Xe=Qr;else if(Qr===Xe){let ai=Math.abs(ar-ht);ai<xe&&(Le=ar,xe=ai)}}Xe>Ve&&(Le-Ne>3&&Ee(ut,Ne,Le,Ve),ut[Le+2]=Xe,Ye-Le>3&&Ee(ut,Le,Ye,Ve))}function Ae(ut,Ne,Ye,Ve,Xe,ht){let Le=Xe-Ye,xe=ht-Ve;if(Le!==0||xe!==0){let Se=((ut-Ye)*Le+(Ne-Ve)*xe)/(Le*Le+xe*xe);Se>1?(Ye=Xe,Ve=ht):Se>0&&(Ye+=Le*Se,Ve+=xe*Se)}return Le=ut-Ye,xe=Ne-Ve,Le*Le+xe*xe}function ze(ut,Ne,Ye,Ve){let Xe={id:ut==null?null:ut,type:Ne,geometry:Ye,tags:Ve,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};if(Ne===\"Point\"||Ne===\"MultiPoint\"||Ne===\"LineString\")Ce(Xe,Ye);else if(Ne===\"Polygon\")Ce(Xe,Ye[0]);else if(Ne===\"MultiLineString\")for(let ht of Ye)Ce(Xe,ht);else if(Ne===\"MultiPolygon\")for(let ht of Ye)Ce(Xe,ht[0]);return Xe}function Ce(ut,Ne){for(let Ye=0;Ye<Ne.length;Ye+=3)ut.minX=Math.min(ut.minX,Ne[Ye]),ut.minY=Math.min(ut.minY,Ne[Ye+1]),ut.maxX=Math.max(ut.maxX,Ne[Ye]),ut.maxY=Math.max(ut.maxY,Ne[Ye+1])}function me(ut,Ne,Ye,Ve){if(!Ne.geometry)return;let Xe=Ne.geometry.coordinates;if(Xe&&Xe.length===0)return;let ht=Ne.geometry.type,Le=Math.pow(Ye.tolerance/((1<<Ye.maxZoom)*Ye.extent),2),xe=[],Se=Ne.id;if(Ye.promoteId?Se=Ne.properties[Ye.promoteId]:Ye.generateId&&(Se=Ve||0),ht===\"Point\")Re(Xe,xe);else if(ht===\"MultiPoint\")for(let lt of Xe)Re(lt,xe);else if(ht===\"LineString\")ce(Xe,xe,Le,!1);else if(ht===\"MultiLineString\"){if(Ye.lineMetrics){for(let lt of Xe)xe=[],ce(lt,xe,Le,!1),ut.push(ze(Se,\"LineString\",xe,Ne.properties));return}Ge(Xe,xe,Le,!1)}else if(ht===\"Polygon\")Ge(Xe,xe,Le,!0);else{if(ht!==\"MultiPolygon\"){if(ht===\"GeometryCollection\"){for(let lt of Ne.geometry.geometries)me(ut,{id:Se,geometry:lt,properties:Ne.properties},Ye,Ve);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(let lt of Xe){let Gt=[];Ge(lt,Gt,Le,!0),xe.push(Gt)}}ut.push(ze(Se,ht,xe,Ne.properties))}function Re(ut,Ne){Ne.push(nt(ut[0]),ct(ut[1]),0)}function ce(ut,Ne,Ye,Ve){let Xe,ht,Le=0;for(let Se=0;Se<ut.length;Se++){let lt=nt(ut[Se][0]),Gt=ct(ut[Se][1]);Ne.push(lt,Gt,0),Se>0&&(Le+=Ve?(Xe*Gt-lt*ht)/2:Math.sqrt(Math.pow(lt-Xe,2)+Math.pow(Gt-ht,2))),Xe=lt,ht=Gt}let xe=Ne.length-3;Ne[2]=1,Ee(Ne,0,xe,Ye),Ne[xe+2]=1,Ne.size=Math.abs(Le),Ne.start=0,Ne.end=Ne.size}function Ge(ut,Ne,Ye,Ve){for(let Xe=0;Xe<ut.length;Xe++){let ht=[];ce(ut[Xe],ht,Ye,Ve),Ne.push(ht)}}function nt(ut){return ut/360+.5}function ct(ut){let Ne=Math.sin(ut*Math.PI/180),Ye=.5-.25*Math.log((1+Ne)/(1-Ne))/Math.PI;return Ye<0?0:Ye>1?1:Ye}function qt(ut,Ne,Ye,Ve,Xe,ht,Le,xe){if(Ve/=Ne,ht>=(Ye/=Ne)&&Le<Ve)return ut;if(Le<Ye||ht>=Ve)return null;let Se=[];for(let lt of ut){let Gt=lt.geometry,Vt=lt.type,ar=Xe===0?lt.minX:lt.minY,Qr=Xe===0?lt.maxX:lt.maxY;if(ar>=Ye&&Qr<Ve){Se.push(lt);continue}if(Qr<Ye||ar>=Ve)continue;let ai=[];if(Vt===\"Point\"||Vt===\"MultiPoint\")rt(Gt,ai,Ye,Ve,Xe);else if(Vt===\"LineString\")ot(Gt,ai,Ye,Ve,Xe,!1,xe.lineMetrics);else if(Vt===\"MultiLineString\")kt(Gt,ai,Ye,Ve,Xe,!1);else if(Vt===\"Polygon\")kt(Gt,ai,Ye,Ve,Xe,!0);else if(Vt===\"MultiPolygon\")for(let jr of Gt){let ri=[];kt(jr,ri,Ye,Ve,Xe,!0),ri.length&&ai.push(ri)}if(ai.length){if(xe.lineMetrics&&Vt===\"LineString\"){for(let jr of ai)Se.push(ze(lt.id,Vt,jr,lt.tags));continue}Vt!==\"LineString\"&&Vt!==\"MultiLineString\"||(ai.length===1?(Vt=\"LineString\",ai=ai[0]):Vt=\"MultiLineString\"),Vt!==\"Point\"&&Vt!==\"MultiPoint\"||(Vt=ai.length===3?\"Point\":\"MultiPoint\"),Se.push(ze(lt.id,Vt,ai,lt.tags))}}return Se.length?Se:null}function rt(ut,Ne,Ye,Ve,Xe){for(let ht=0;ht<ut.length;ht+=3){let Le=ut[ht+Xe];Le>=Ye&&Le<=Ve&&Ct(Ne,ut[ht],ut[ht+1],ut[ht+2])}}function ot(ut,Ne,Ye,Ve,Xe,ht,Le){let xe=Rt(ut),Se=Xe===0?Yt:xr,lt,Gt,Vt=ut.start;for(let ri=0;ri<ut.length-3;ri+=3){let bi=ut[ri],nn=ut[ri+1],Wi=ut[ri+2],Ni=ut[ri+3],_n=ut[ri+4],$i=Xe===0?bi:nn,zn=Xe===0?Ni:_n,Wn=!1;Le&&(lt=Math.sqrt(Math.pow(bi-Ni,2)+Math.pow(nn-_n,2))),$i<Ye?zn>Ye&&(Gt=Se(xe,bi,nn,Ni,_n,Ye),Le&&(xe.start=Vt+lt*Gt)):$i>Ve?zn<Ve&&(Gt=Se(xe,bi,nn,Ni,_n,Ve),Le&&(xe.start=Vt+lt*Gt)):Ct(xe,bi,nn,Wi),zn<Ye&&$i>=Ye&&(Gt=Se(xe,bi,nn,Ni,_n,Ye),Wn=!0),zn>Ve&&$i<=Ve&&(Gt=Se(xe,bi,nn,Ni,_n,Ve),Wn=!0),!ht&&Wn&&(Le&&(xe.end=Vt+lt*Gt),Ne.push(xe),xe=Rt(ut)),Le&&(Vt+=lt)}let ar=ut.length-3,Qr=ut[ar],ai=ut[ar+1],jr=Xe===0?Qr:ai;jr>=Ye&&jr<=Ve&&Ct(xe,Qr,ai,ut[ar+2]),ar=xe.length-3,ht&&ar>=3&&(xe[ar]!==xe[0]||xe[ar+1]!==xe[1])&&Ct(xe,xe[0],xe[1],xe[2]),xe.length&&Ne.push(xe)}function Rt(ut){let Ne=[];return Ne.size=ut.size,Ne.start=ut.start,Ne.end=ut.end,Ne}function kt(ut,Ne,Ye,Ve,Xe,ht){for(let Le of ut)ot(Le,Ne,Ye,Ve,Xe,ht,!1)}function Ct(ut,Ne,Ye,Ve){ut.push(Ne,Ye,Ve)}function Yt(ut,Ne,Ye,Ve,Xe,ht){let Le=(ht-Ne)/(Ve-Ne);return Ct(ut,ht,Ye+(Xe-Ye)*Le,1),Le}function xr(ut,Ne,Ye,Ve,Xe,ht){let Le=(ht-Ye)/(Xe-Ye);return Ct(ut,Ne+(Ve-Ne)*Le,ht,1),Le}function er(ut,Ne){let Ye=[];for(let Ve=0;Ve<ut.length;Ve++){let Xe=ut[Ve],ht=Xe.type,Le;if(ht===\"Point\"||ht===\"MultiPoint\"||ht===\"LineString\")Le=Ke(Xe.geometry,Ne);else if(ht===\"MultiLineString\"||ht===\"Polygon\"){Le=[];for(let xe of Xe.geometry)Le.push(Ke(xe,Ne))}else if(ht===\"MultiPolygon\"){Le=[];for(let xe of Xe.geometry){let Se=[];for(let lt of xe)Se.push(Ke(lt,Ne));Le.push(Se)}}Ye.push(ze(Xe.id,ht,Le,Xe.tags))}return Ye}function Ke(ut,Ne){let Ye=[];Ye.size=ut.size,ut.start!==void 0&&(Ye.start=ut.start,Ye.end=ut.end);for(let Ve=0;Ve<ut.length;Ve+=3)Ye.push(ut[Ve]+Ne,ut[Ve+1],ut[Ve+2]);return Ye}function xt(ut,Ne){if(ut.transformed)return ut;let Ye=1<<ut.z,Ve=ut.x,Xe=ut.y;for(let ht of ut.features){let Le=ht.geometry,xe=ht.type;if(ht.geometry=[],xe===1)for(let Se=0;Se<Le.length;Se+=2)ht.geometry.push(bt(Le[Se],Le[Se+1],Ne,Ye,Ve,Xe));else for(let Se=0;Se<Le.length;Se++){let lt=[];for(let Gt=0;Gt<Le[Se].length;Gt+=2)lt.push(bt(Le[Se][Gt],Le[Se][Gt+1],Ne,Ye,Ve,Xe));ht.geometry.push(lt)}}return ut.transformed=!0,ut}function bt(ut,Ne,Ye,Ve,Xe,ht){return[Math.round(Ye*(ut*Ve-Xe)),Math.round(Ye*(Ne*Ve-ht))]}function Lt(ut,Ne,Ye,Ve,Xe){let ht=Ne===Xe.maxZoom?0:Xe.tolerance/((1<<Ne)*Xe.extent),Le={features:[],numPoints:0,numSimplified:0,numFeatures:ut.length,source:null,x:Ye,y:Ve,z:Ne,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(let xe of ut)St(Le,xe,ht,Xe);return Le}function St(ut,Ne,Ye,Ve){let Xe=Ne.geometry,ht=Ne.type,Le=[];if(ut.minX=Math.min(ut.minX,Ne.minX),ut.minY=Math.min(ut.minY,Ne.minY),ut.maxX=Math.max(ut.maxX,Ne.maxX),ut.maxY=Math.max(ut.maxY,Ne.maxY),ht===\"Point\"||ht===\"MultiPoint\")for(let xe=0;xe<Xe.length;xe+=3)Le.push(Xe[xe],Xe[xe+1]),ut.numPoints++,ut.numSimplified++;else if(ht===\"LineString\")Et(Le,Xe,ut,Ye,!1,!1);else if(ht===\"MultiLineString\"||ht===\"Polygon\")for(let xe=0;xe<Xe.length;xe++)Et(Le,Xe[xe],ut,Ye,ht===\"Polygon\",xe===0);else if(ht===\"MultiPolygon\")for(let xe=0;xe<Xe.length;xe++){let Se=Xe[xe];for(let lt=0;lt<Se.length;lt++)Et(Le,Se[lt],ut,Ye,!0,lt===0)}if(Le.length){let xe=Ne.tags||null;if(ht===\"LineString\"&&Ve.lineMetrics){xe={};for(let lt in Ne.tags)xe[lt]=Ne.tags[lt];xe.mapbox_clip_start=Xe.start/Xe.size,xe.mapbox_clip_end=Xe.end/Xe.size}let Se={geometry:Le,type:ht===\"Polygon\"||ht===\"MultiPolygon\"?3:ht===\"LineString\"||ht===\"MultiLineString\"?2:1,tags:xe};Ne.id!==null&&(Se.id=Ne.id),ut.features.push(Se)}}function Et(ut,Ne,Ye,Ve,Xe,ht){let Le=Ve*Ve;if(Ve>0&&Ne.size<(Xe?Le:Ve))return void(Ye.numPoints+=Ne.length/3);let xe=[];for(let Se=0;Se<Ne.length;Se+=3)(Ve===0||Ne[Se+2]>Le)&&(Ye.numSimplified++,xe.push(Ne[Se],Ne[Se+1])),Ye.numPoints++;Xe&&function(Se,lt){let Gt=0;for(let Vt=0,ar=Se.length,Qr=ar-2;Vt<ar;Qr=Vt,Vt+=2)Gt+=(Se[Vt]-Se[Qr])*(Se[Vt+1]+Se[Qr+1]);if(Gt>0===lt)for(let Vt=0,ar=Se.length;Vt<ar/2;Vt+=2){let Qr=Se[Vt],ai=Se[Vt+1];Se[Vt]=Se[ar-2-Vt],Se[Vt+1]=Se[ar-1-Vt],Se[ar-2-Vt]=Qr,Se[ar-1-Vt]=ai}}(xe,ht),ut.push(xe)}let dt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class Ht{constructor(Ne,Ye){let Ve=(Ye=this.options=function(ht,Le){for(let xe in Le)ht[xe]=Le[xe];return ht}(Object.create(dt),Ye)).debug;if(Ve&&console.time(\"preprocess data\"),Ye.maxZoom<0||Ye.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Ye.promoteId&&Ye.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let Xe=function(ht,Le){let xe=[];if(ht.type===\"FeatureCollection\")for(let Se=0;Se<ht.features.length;Se++)me(xe,ht.features[Se],Le,Se);else me(xe,ht.type===\"Feature\"?ht:{geometry:ht},Le);return xe}(Ne,Ye);this.tiles={},this.tileCoords=[],Ve&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Ye.indexMaxZoom,Ye.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),Xe=function(ht,Le){let xe=Le.buffer/Le.extent,Se=ht,lt=qt(ht,1,-1-xe,xe,0,-1,2,Le),Gt=qt(ht,1,1-xe,2+xe,0,-1,2,Le);return(lt||Gt)&&(Se=qt(ht,1,-xe,1+xe,0,-1,2,Le)||[],lt&&(Se=er(lt,1).concat(Se)),Gt&&(Se=Se.concat(er(Gt,-1)))),Se}(Xe,Ye),Xe.length&&this.splitTile(Xe,0,0,0),Ve&&(Xe.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(Ne,Ye,Ve,Xe,ht,Le,xe){let Se=[Ne,Ye,Ve,Xe],lt=this.options,Gt=lt.debug;for(;Se.length;){Xe=Se.pop(),Ve=Se.pop(),Ye=Se.pop(),Ne=Se.pop();let Vt=1<<Ye,ar=$t(Ye,Ve,Xe),Qr=this.tiles[ar];if(!Qr&&(Gt>1&&console.time(\"creation\"),Qr=this.tiles[ar]=Lt(Ne,Ye,Ve,Xe,lt),this.tileCoords.push({z:Ye,x:Ve,y:Xe}),Gt)){Gt>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Ye,Ve,Xe,Qr.numFeatures,Qr.numPoints,Qr.numSimplified),console.timeEnd(\"creation\"));let Wn=`z${Ye}`;this.stats[Wn]=(this.stats[Wn]||0)+1,this.total++}if(Qr.source=Ne,ht==null){if(Ye===lt.indexMaxZoom||Qr.numPoints<=lt.indexMaxPoints)continue}else{if(Ye===lt.maxZoom||Ye===ht)continue;if(ht!=null){let Wn=ht-Ye;if(Ve!==Le>>Wn||Xe!==xe>>Wn)continue}}if(Qr.source=null,Ne.length===0)continue;Gt>1&&console.time(\"clipping\");let ai=.5*lt.buffer/lt.extent,jr=.5-ai,ri=.5+ai,bi=1+ai,nn=null,Wi=null,Ni=null,_n=null,$i=qt(Ne,Vt,Ve-ai,Ve+ri,0,Qr.minX,Qr.maxX,lt),zn=qt(Ne,Vt,Ve+jr,Ve+bi,0,Qr.minX,Qr.maxX,lt);Ne=null,$i&&(nn=qt($i,Vt,Xe-ai,Xe+ri,1,Qr.minY,Qr.maxY,lt),Wi=qt($i,Vt,Xe+jr,Xe+bi,1,Qr.minY,Qr.maxY,lt),$i=null),zn&&(Ni=qt(zn,Vt,Xe-ai,Xe+ri,1,Qr.minY,Qr.maxY,lt),_n=qt(zn,Vt,Xe+jr,Xe+bi,1,Qr.minY,Qr.maxY,lt),zn=null),Gt>1&&console.timeEnd(\"clipping\"),Se.push(nn||[],Ye+1,2*Ve,2*Xe),Se.push(Wi||[],Ye+1,2*Ve,2*Xe+1),Se.push(Ni||[],Ye+1,2*Ve+1,2*Xe),Se.push(_n||[],Ye+1,2*Ve+1,2*Xe+1)}}getTile(Ne,Ye,Ve){Ne=+Ne,Ye=+Ye,Ve=+Ve;let Xe=this.options,{extent:ht,debug:Le}=Xe;if(Ne<0||Ne>24)return null;let xe=1<<Ne,Se=$t(Ne,Ye=Ye+xe&xe-1,Ve);if(this.tiles[Se])return xt(this.tiles[Se],ht);Le>1&&console.log(\"drilling down to z%d-%d-%d\",Ne,Ye,Ve);let lt,Gt=Ne,Vt=Ye,ar=Ve;for(;!lt&&Gt>0;)Gt--,Vt>>=1,ar>>=1,lt=this.tiles[$t(Gt,Vt,ar)];return lt&&lt.source?(Le>1&&(console.log(\"found parent tile z%d-%d-%d\",Gt,Vt,ar),console.time(\"drilling down\")),this.splitTile(lt.source,Gt,Vt,ar,Ne,Ye,Ve),Le>1&&console.timeEnd(\"drilling down\"),this.tiles[Se]?xt(this.tiles[Se],ht):null):null}}function $t(ut,Ne,Ye){return 32*((1<<ut)*Ye+Ne)+ut}function fr(ut,Ne){return Ne?ut.properties[Ne]:ut.id}function _r(ut,Ne){if(ut==null)return!0;if(ut.type===\"Feature\")return fr(ut,Ne)!=null;if(ut.type===\"FeatureCollection\"){let Ye=new Set;for(let Ve of ut.features){let Xe=fr(Ve,Ne);if(Xe==null||Ye.has(Xe))return!1;Ye.add(Xe)}return!0}return!1}function Br(ut,Ne){let Ye=new Map;if(ut!=null)if(ut.type===\"Feature\")Ye.set(fr(ut,Ne),ut);else for(let Ve of ut.features)Ye.set(fr(Ve,Ne),Ve);return Ye}class Or extends u{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(Ne,Ye){return i._(this,void 0,void 0,function*(){let Ve=Ne.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");let Xe=this._geoJSONIndex.getTile(Ve.z,Ve.x,Ve.y);if(!Xe)return null;let ht=new class{constructor(xe){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.X,this.length=xe.length,this._features=xe}feature(xe){return new class{constructor(Se){this._feature=Se,this.extent=i.X,this.type=Se.type,this.properties=Se.tags,\"id\"in Se&&!isNaN(Se.id)&&(this.id=parseInt(Se.id,10))}loadGeometry(){if(this._feature.type===1){let Se=[];for(let lt of this._feature.geometry)Se.push([new i.P(lt[0],lt[1])]);return Se}{let Se=[];for(let lt of this._feature.geometry){let Gt=[];for(let Vt of lt)Gt.push(new i.P(Vt[0],Vt[1]));Se.push(Gt)}return Se}}toGeoJSON(Se,lt,Gt){return v.call(this,Se,lt,Gt)}}(this._features[xe])}}(Xe.features),Le=H(ht);return Le.byteOffset===0&&Le.byteLength===Le.buffer.byteLength||(Le=new Uint8Array(Le)),{vectorTile:ht,rawData:Le.buffer}})}loadData(Ne){return i._(this,void 0,void 0,function*(){var Ye;(Ye=this._pendingRequest)===null||Ye===void 0||Ye.abort();let Ve=!!(Ne&&Ne.request&&Ne.request.collectResourceTiming)&&new i.bv(Ne.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(Ne,this._pendingRequest),this._geoJSONIndex=Ne.cluster?new _e(function({superclusterOptions:Le,clusterProperties:xe}){if(!xe||!Le)return Le;let Se={},lt={},Gt={accumulated:null,zoom:0},Vt={properties:null},ar=Object.keys(xe);for(let Qr of ar){let[ai,jr]=xe[Qr],ri=i.bC(jr),bi=i.bC(typeof ai==\"string\"?[ai,[\"accumulated\"],[\"get\",Qr]]:ai);Se[Qr]=ri.value,lt[Qr]=bi.value}return Le.map=Qr=>{Vt.properties=Qr;let ai={};for(let jr of ar)ai[jr]=Se[jr].evaluate(Gt,Vt);return ai},Le.reduce=(Qr,ai)=>{Vt.properties=ai;for(let jr of ar)Gt.accumulated=Qr[jr],Qr[jr]=lt[jr].evaluate(Gt,Vt)},Le}(Ne)).load((yield this._pendingData).features):(Xe=yield this._pendingData,new Ht(Xe,Ne.geojsonVtOptions)),this.loaded={};let ht={};if(Ve){let Le=Ve.finish();Le&&(ht.resourceTiming={},ht.resourceTiming[Ne.source]=JSON.parse(JSON.stringify(Le)))}return ht}catch(ht){if(delete this._pendingRequest,i.bB(ht))return{abandoned:!0};throw ht}var Xe})}getData(){return i._(this,void 0,void 0,function*(){return this._pendingData})}reloadTile(Ne){let Ye=this.loaded;return Ye&&Ye[Ne.uid]?super.reloadTile(Ne):this.loadTile(Ne)}loadAndProcessGeoJSON(Ne,Ye){return i._(this,void 0,void 0,function*(){let Ve=yield this.loadGeoJSON(Ne,Ye);if(delete this._pendingRequest,typeof Ve!=\"object\")throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`);if(d(Ve,!0),Ne.filter){let Xe=i.bC(Ne.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Xe.result===\"error\")throw new Error(Xe.value.map(Le=>`${Le.key}: ${Le.message}`).join(\", \"));Ve={type:\"FeatureCollection\",features:Ve.features.filter(Le=>Xe.value.evaluate({zoom:0},Le))}}return Ve})}loadGeoJSON(Ne,Ye){return i._(this,void 0,void 0,function*(){let{promoteId:Ve}=Ne;if(Ne.request){let Xe=yield i.h(Ne.request,Ye);return this._dataUpdateable=_r(Xe.data,Ve)?Br(Xe.data,Ve):void 0,Xe.data}if(typeof Ne.data==\"string\")try{let Xe=JSON.parse(Ne.data);return this._dataUpdateable=_r(Xe,Ve)?Br(Xe,Ve):void 0,Xe}catch(Xe){throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`)}if(!Ne.dataDiff)throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Ne.source}`);return function(Xe,ht,Le){var xe,Se,lt,Gt;if(ht.removeAll&&Xe.clear(),ht.remove)for(let Vt of ht.remove)Xe.delete(Vt);if(ht.add)for(let Vt of ht.add){let ar=fr(Vt,Le);ar!=null&&Xe.set(ar,Vt)}if(ht.update)for(let Vt of ht.update){let ar=Xe.get(Vt.id);if(ar==null)continue;let Qr=!Vt.removeAllProperties&&(((xe=Vt.removeProperties)===null||xe===void 0?void 0:xe.length)>0||((Se=Vt.addOrUpdateProperties)===null||Se===void 0?void 0:Se.length)>0);if((Vt.newGeometry||Vt.removeAllProperties||Qr)&&(ar=Object.assign({},ar),Xe.set(Vt.id,ar),Qr&&(ar.properties=Object.assign({},ar.properties))),Vt.newGeometry&&(ar.geometry=Vt.newGeometry),Vt.removeAllProperties)ar.properties={};else if(((lt=Vt.removeProperties)===null||lt===void 0?void 0:lt.length)>0)for(let ai of Vt.removeProperties)Object.prototype.hasOwnProperty.call(ar.properties,ai)&&delete ar.properties[ai];if(((Gt=Vt.addOrUpdateProperties)===null||Gt===void 0?void 0:Gt.length)>0)for(let{key:ai,value:jr}of Vt.addOrUpdateProperties)ar.properties[ai]=jr}}(this._dataUpdateable,Ne.dataDiff,Ve),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}})}removeSource(Ne){return i._(this,void 0,void 0,function*(){this._pendingRequest&&this._pendingRequest.abort()})}getClusterExpansionZoom(Ne){return this._geoJSONIndex.getClusterExpansionZoom(Ne.clusterId)}getClusterChildren(Ne){return this._geoJSONIndex.getChildren(Ne.clusterId)}getClusterLeaves(Ne){return this._geoJSONIndex.getLeaves(Ne.clusterId,Ne.limit,Ne.offset)}}class Nr{constructor(Ne){this.self=Ne,this.actor=new i.F(Ne),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Ye,Ve)=>{if(this.externalWorkerSourceTypes[Ye])throw new Error(`Worker source with name \"${Ye}\" already registered.`);this.externalWorkerSourceTypes[Ye]=Ve},this.self.addProtocol=i.bi,this.self.removeProtocol=i.bj,this.self.registerRTLTextPlugin=Ye=>{if(i.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");i.bD.setMethods(Ye)},this.actor.registerMessageHandler(\"LDT\",(Ye,Ve)=>this._getDEMWorkerSource(Ye,Ve.source).loadTile(Ve)),this.actor.registerMessageHandler(\"RDT\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getDEMWorkerSource(Ye,Ve.source).removeTile(Ve)})),this.actor.registerMessageHandler(\"GCEZ\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterExpansionZoom(Ve)})),this.actor.registerMessageHandler(\"GCC\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterChildren(Ve)})),this.actor.registerMessageHandler(\"GCL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterLeaves(Ve)})),this.actor.registerMessageHandler(\"LD\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).loadData(Ve)),this.actor.registerMessageHandler(\"GD\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).getData()),this.actor.registerMessageHandler(\"LT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).loadTile(Ve)),this.actor.registerMessageHandler(\"RT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).reloadTile(Ve)),this.actor.registerMessageHandler(\"AT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).abortTile(Ve)),this.actor.registerMessageHandler(\"RMT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).removeTile(Ve)),this.actor.registerMessageHandler(\"RS\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){if(!this.workerSources[Ye]||!this.workerSources[Ye][Ve.type]||!this.workerSources[Ye][Ve.type][Ve.source])return;let Xe=this.workerSources[Ye][Ve.type][Ve.source];delete this.workerSources[Ye][Ve.type][Ve.source],Xe.removeSource!==void 0&&Xe.removeSource(Ve)})),this.actor.registerMessageHandler(\"RM\",Ye=>i._(this,void 0,void 0,function*(){delete this.layerIndexes[Ye],delete this.availableImages[Ye],delete this.workerSources[Ye],delete this.demWorkerSources[Ye]})),this.actor.registerMessageHandler(\"SR\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this.referrer=Ve})),this.actor.registerMessageHandler(\"SRPS\",(Ye,Ve)=>this._syncRTLPluginState(Ye,Ve)),this.actor.registerMessageHandler(\"IS\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this.self.importScripts(Ve)})),this.actor.registerMessageHandler(\"SI\",(Ye,Ve)=>this._setImages(Ye,Ve)),this.actor.registerMessageHandler(\"UL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Ye).update(Ve.layers,Ve.removedIds)})),this.actor.registerMessageHandler(\"SL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Ye).replace(Ve)}))}_setImages(Ne,Ye){return i._(this,void 0,void 0,function*(){this.availableImages[Ne]=Ye;for(let Ve in this.workerSources[Ne]){let Xe=this.workerSources[Ne][Ve];for(let ht in Xe)Xe[ht].availableImages=Ye}})}_syncRTLPluginState(Ne,Ye){return i._(this,void 0,void 0,function*(){if(i.bD.isParsed())return i.bD.getState();if(Ye.pluginStatus!==\"loading\")return i.bD.setState(Ye),Ye;let Ve=Ye.pluginURL;if(this.self.importScripts(Ve),i.bD.isParsed()){let Xe={pluginStatus:\"loaded\",pluginURL:Ve};return i.bD.setState(Xe),Xe}throw i.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${Ve}`)})}_getAvailableImages(Ne){let Ye=this.availableImages[Ne];return Ye||(Ye=[]),Ye}_getLayerIndex(Ne){let Ye=this.layerIndexes[Ne];return Ye||(Ye=this.layerIndexes[Ne]=new a),Ye}_getWorkerSource(Ne,Ye,Ve){if(this.workerSources[Ne]||(this.workerSources[Ne]={}),this.workerSources[Ne][Ye]||(this.workerSources[Ne][Ye]={}),!this.workerSources[Ne][Ye][Ve]){let Xe={sendAsync:(ht,Le)=>(ht.targetMapId=Ne,this.actor.sendAsync(ht,Le))};switch(Ye){case\"vector\":this.workerSources[Ne][Ye][Ve]=new u(Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne));break;case\"geojson\":this.workerSources[Ne][Ye][Ve]=new Or(Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne));break;default:this.workerSources[Ne][Ye][Ve]=new this.externalWorkerSourceTypes[Ye](Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne))}}return this.workerSources[Ne][Ye][Ve]}_getDEMWorkerSource(Ne,Ye){return this.demWorkerSources[Ne]||(this.demWorkerSources[Ne]={}),this.demWorkerSources[Ne][Ye]||(this.demWorkerSources[Ne][Ye]=new c),this.demWorkerSources[Ne][Ye]}}return i.i(self)&&(self.worker=new Nr(self)),Nr}),r(\"index\",[\"exports\",\"./shared\"],function(i,a){\"use strict\";var o=\"4.7.1\";let s,l,u={now:typeof performance!=\"undefined\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:le=>new Promise((w,B)=>{let 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w=le.createTexture();le.bindTexture(le.TEXTURE_2D,w);try{if(le.texImage2D(le.TEXTURE_2D,0,le.RGBA,le.RGBA,le.UNSIGNED_BYTE,d),le.isContextLost())return;f.supported=!0}catch(B){}le.deleteTexture(w),v=!0}var g;typeof document!=\"undefined\"&&(d=document.createElement(\"img\"),d.onload=()=>{h&&b(h),h=null,x=!0},d.onerror=()=>{v=!0,h=null},d.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(le){let w,B,Q,ee;le.resetRequestQueue=()=>{w=[],B=0,Q=0,ee={}},le.addThrottleControl=it=>{let yt=Q++;return ee[yt]=it,yt},le.removeThrottleControl=it=>{delete ee[it],qe()},le.getImage=(it,yt,Ot=!0)=>new Promise((Nt,hr)=>{f.supported&&(it.headers||(it.headers={}),it.headers.accept=\"image/webp,*/*\"),a.e(it,{type:\"image\"}),w.push({abortController:yt,requestParameters:it,supportImageRefresh:Ot,state:\"queued\",onError:Sr=>{hr(Sr)},onSuccess:Sr=>{Nt(Sr)}}),qe()});let se=it=>a._(this,void 0,void 0,function*(){it.state=\"running\";let{requestParameters:yt,supportImageRefresh:Ot,onError:Nt,onSuccess:hr,abortController:Sr}=it,he=Ot===!1&&!a.i(self)&&!a.g(yt.url)&&(!yt.headers||Object.keys(yt.headers).reduce((Oe,Je)=>Oe&&Je===\"accept\",!0));B++;let be=he?je(yt,Sr):a.m(yt,Sr);try{let Oe=yield be;delete it.abortController,it.state=\"completed\",Oe.data instanceof HTMLImageElement||a.b(Oe.data)?hr(Oe):Oe.data&&hr({data:yield(Pe=Oe.data,typeof createImageBitmap==\"function\"?a.d(Pe):a.f(Pe)),cacheControl:Oe.cacheControl,expires:Oe.expires})}catch(Oe){delete it.abortController,Nt(Oe)}finally{B--,qe()}var Pe}),qe=()=>{let it=(()=>{for(let yt of Object.keys(ee))if(ee[yt]())return!0;return!1})()?a.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:a.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let yt=B;yt<it&&w.length>0;yt++){let Ot=w.shift();Ot.abortController.signal.aborted?yt--:se(Ot)}},je=(it,yt)=>new Promise((Ot,Nt)=>{let hr=new Image,Sr=it.url,he=it.credentials;he&&he===\"include\"?hr.crossOrigin=\"use-credentials\":(he&&he===\"same-origin\"||!a.s(Sr))&&(hr.crossOrigin=\"anonymous\"),yt.signal.addEventListener(\"abort\",()=>{hr.src=\"\",Nt(a.c())}),hr.fetchPriority=\"high\",hr.onload=()=>{hr.onerror=hr.onload=null,Ot({data:hr})},hr.onerror=()=>{hr.onerror=hr.onload=null,yt.signal.aborted||Nt(new Error(\"Could not load image. 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p{constructor(w,B,Q,ee){this.context=w,this.format=Q,this.texture=w.gl.createTexture(),this.update(B,ee)}update(w,B,Q){let{width:ee,height:se}=w,qe=!(this.size&&this.size[0]===ee&&this.size[1]===se||Q),{context:je}=this,{gl:it}=je;if(this.useMipmap=!!(B&&B.useMipmap),it.bindTexture(it.TEXTURE_2D,this.texture),je.pixelStoreUnpackFlipY.set(!1),je.pixelStoreUnpack.set(1),je.pixelStoreUnpackPremultiplyAlpha.set(this.format===it.RGBA&&(!B||B.premultiply!==!1)),qe)this.size=[ee,se],w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?it.texImage2D(it.TEXTURE_2D,0,this.format,this.format,it.UNSIGNED_BYTE,w):it.texImage2D(it.TEXTURE_2D,0,this.format,ee,se,0,this.format,it.UNSIGNED_BYTE,w.data);else{let{x:yt,y:Ot}=Q||{x:0,y:0};w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?it.texSubImage2D(it.TEXTURE_2D,0,yt,Ot,it.RGBA,it.UNSIGNED_BYTE,w):it.texSubImage2D(it.TEXTURE_2D,0,yt,Ot,ee,se,it.RGBA,it.UNSIGNED_BYTE,w.data)}this.useMipmap&&this.isSizePowerOfTwo()&&it.generateMipmap(it.TEXTURE_2D)}bind(w,B,Q){let{context:ee}=this,{gl:se}=ee;se.bindTexture(se.TEXTURE_2D,this.texture),Q!==se.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(Q=se.LINEAR),w!==this.filter&&(se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MAG_FILTER,w),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MIN_FILTER,Q||w),this.filter=w),B!==this.wrap&&(se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_S,B),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_T,B),this.wrap=B)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){let{gl:w}=this.context;w.deleteTexture(this.texture),this.texture=null}}function P(le){let{userImage:w}=le;return!!(w&&w.render&&w.render())&&(le.data.replace(new Uint8Array(w.data.buffer)),!0)}class T extends a.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new a.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(w){if(this.loaded!==w&&(this.loaded=w,w)){for(let{ids:B,promiseResolve:Q}of this.requestors)Q(this._getImagesForIds(B));this.requestors=[]}}getImage(w){let B=this.images[w];if(B&&!B.data&&B.spriteData){let Q=B.spriteData;B.data=new a.R({width:Q.width,height:Q.height},Q.context.getImageData(Q.x,Q.y,Q.width,Q.height).data),B.spriteData=null}return B}addImage(w,B){if(this.images[w])throw new Error(`Image id ${w} already exist, use updateImage instead`);this._validate(w,B)&&(this.images[w]=B)}_validate(w,B){let Q=!0,ee=B.data||B.spriteData;return this._validateStretch(B.stretchX,ee&&ee.width)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchX\" value`))),Q=!1),this._validateStretch(B.stretchY,ee&&ee.height)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchY\" value`))),Q=!1),this._validateContent(B.content,B)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"content\" value`))),Q=!1),Q}_validateStretch(w,B){if(!w)return!0;let Q=0;for(let ee of w){if(ee[0]<Q||ee[1]<ee[0]||B<ee[1])return!1;Q=ee[1]}return!0}_validateContent(w,B){if(!w)return!0;if(w.length!==4)return!1;let Q=B.spriteData,ee=Q&&Q.width||B.data.width,se=Q&&Q.height||B.data.height;return!(w[0]<0||ee<w[0]||w[1]<0||se<w[1]||w[2]<0||ee<w[2]||w[3]<0||se<w[3]||w[2]<w[0]||w[3]<w[1])}updateImage(w,B,Q=!0){let ee=this.getImage(w);if(Q&&(ee.data.width!==B.data.width||ee.data.height!==B.data.height))throw new Error(`size mismatch between old image (${ee.data.width}x${ee.data.height}) and new image (${B.data.width}x${B.data.height}).`);B.version=ee.version+1,this.images[w]=B,this.updatedImages[w]=!0}removeImage(w){let B=this.images[w];delete this.images[w],delete this.patterns[w],B.userImage&&B.userImage.onRemove&&B.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(w){return new Promise((B,Q)=>{let ee=!0;if(!this.isLoaded())for(let se of w)this.images[se]||(ee=!1);this.isLoaded()||ee?B(this._getImagesForIds(w)):this.requestors.push({ids:w,promiseResolve:B})})}_getImagesForIds(w){let B={};for(let Q of w){let ee=this.getImage(Q);ee||(this.fire(new a.k(\"styleimagemissing\",{id:Q})),ee=this.getImage(Q)),ee?B[Q]={data:ee.data.clone(),pixelRatio:ee.pixelRatio,sdf:ee.sdf,version:ee.version,stretchX:ee.stretchX,stretchY:ee.stretchY,content:ee.content,textFitWidth:ee.textFitWidth,textFitHeight:ee.textFitHeight,hasRenderCallback:!!(ee.userImage&&ee.userImage.render)}:a.w(`Image \"${Q}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return B}getPixelSize(){let{width:w,height:B}=this.atlasImage;return{width:w,height:B}}getPattern(w){let B=this.patterns[w],Q=this.getImage(w);if(!Q)return null;if(B&&B.position.version===Q.version)return B.position;if(B)B.position.version=Q.version;else{let ee={w:Q.data.width+2,h:Q.data.height+2,x:0,y:0},se=new a.I(ee,Q);this.patterns[w]={bin:ee,position:se}}return this._updatePatternAtlas(),this.patterns[w].position}bind(w){let B=w.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new p(w,this.atlasImage,B.RGBA),this.atlasTexture.bind(B.LINEAR,B.CLAMP_TO_EDGE)}_updatePatternAtlas(){let w=[];for(let se in this.patterns)w.push(this.patterns[se].bin);let{w:B,h:Q}=a.p(w),ee=this.atlasImage;ee.resize({width:B||1,height:Q||1});for(let se in this.patterns){let{bin:qe}=this.patterns[se],je=qe.x+1,it=qe.y+1,yt=this.getImage(se).data,Ot=yt.width,Nt=yt.height;a.R.copy(yt,ee,{x:0,y:0},{x:je,y:it},{width:Ot,height:Nt}),a.R.copy(yt,ee,{x:0,y:Nt-1},{x:je,y:it-1},{width:Ot,height:1}),a.R.copy(yt,ee,{x:0,y:0},{x:je,y:it+Nt},{width:Ot,height:1}),a.R.copy(yt,ee,{x:Ot-1,y:0},{x:je-1,y:it},{width:1,height:Nt}),a.R.copy(yt,ee,{x:0,y:0},{x:je+Ot,y:it},{width:1,height:Nt})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(w){for(let B of w){if(this.callbackDispatchedThisFrame[B])continue;this.callbackDispatchedThisFrame[B]=!0;let Q=this.getImage(B);Q||a.w(`Image with ID: \"${B}\" was not found`),P(Q)&&this.updateImage(B,Q)}}}let F=1e20;function q(le,w,B,Q,ee,se,qe,je,it){for(let yt=w;yt<w+Q;yt++)V(le,B*se+yt,se,ee,qe,je,it);for(let yt=B;yt<B+ee;yt++)V(le,yt*se+w,1,Q,qe,je,it)}function V(le,w,B,Q,ee,se,qe){se[0]=0,qe[0]=-F,qe[1]=F,ee[0]=le[w];for(let je=1,it=0,yt=0;je<Q;je++){ee[je]=le[w+je*B];let Ot=je*je;do{let Nt=se[it];yt=(ee[je]-ee[Nt]+Ot-Nt*Nt)/(je-Nt)/2}while(yt<=qe[it]&&--it>-1);it++,se[it]=je,qe[it]=yt,qe[it+1]=F}for(let je=0,it=0;je<Q;je++){for(;qe[it+1]<je;)it++;let yt=se[it],Ot=je-yt;le[w+je*B]=ee[yt]+Ot*Ot}}class H{constructor(w,B){this.requestManager=w,this.localIdeographFontFamily=B,this.entries={}}setURL(w){this.url=w}getGlyphs(w){return a._(this,void 0,void 0,function*(){let B=[];for(let se in w)for(let qe of w[se])B.push(this._getAndCacheGlyphsPromise(se,qe));let Q=yield Promise.all(B),ee={};for(let{stack:se,id:qe,glyph:je}of Q)ee[se]||(ee[se]={}),ee[se][qe]=je&&{id:je.id,bitmap:je.bitmap.clone(),metrics:je.metrics};return ee})}_getAndCacheGlyphsPromise(w,B){return a._(this,void 0,void 0,function*(){let Q=this.entries[w];Q||(Q=this.entries[w]={glyphs:{},requests:{},ranges:{}});let ee=Q.glyphs[B];if(ee!==void 0)return{stack:w,id:B,glyph:ee};if(ee=this._tinySDF(Q,w,B),ee)return Q.glyphs[B]=ee,{stack:w,id:B,glyph:ee};let se=Math.floor(B/256);if(256*se>65535)throw new Error(\"glyphs > 65535 not supported\");if(Q.ranges[se])return{stack:w,id:B,glyph:ee};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!Q.requests[se]){let je=H.loadGlyphRange(w,se,this.url,this.requestManager);Q.requests[se]=je}let qe=yield Q.requests[se];for(let je in qe)this._doesCharSupportLocalGlyph(+je)||(Q.glyphs[+je]=qe[+je]);return Q.ranges[se]=!0,{stack:w,id:B,glyph:qe[B]||null}})}_doesCharSupportLocalGlyph(w){return!!this.localIdeographFontFamily&&new RegExp(\"\\\\p{Ideo}|\\\\p{sc=Hang}|\\\\p{sc=Hira}|\\\\p{sc=Kana}\",\"u\").test(String.fromCodePoint(w))}_tinySDF(w,B,Q){let ee=this.localIdeographFontFamily;if(!ee||!this._doesCharSupportLocalGlyph(Q))return;let se=w.tinySDF;if(!se){let je=\"400\";/bold/i.test(B)?je=\"900\":/medium/i.test(B)?je=\"500\":/light/i.test(B)&&(je=\"200\"),se=w.tinySDF=new H.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:ee,fontWeight:je})}let qe=se.draw(String.fromCharCode(Q));return{id:Q,bitmap:new a.o({width:qe.width||60,height:qe.height||60},qe.data),metrics:{width:qe.glyphWidth/2||24,height:qe.glyphHeight/2||24,left:qe.glyphLeft/2+.5||0,top:qe.glyphTop/2-27.5||-8,advance:qe.glyphAdvance/2||24,isDoubleResolution:!0}}}}H.loadGlyphRange=function(le,w,B,Q){return a._(this,void 0,void 0,function*(){let ee=256*w,se=ee+255,qe=Q.transformRequest(B.replace(\"{fontstack}\",le).replace(\"{range}\",`${ee}-${se}`),\"Glyphs\"),je=yield a.l(qe,new AbortController);if(!je||!je.data)throw new Error(`Could not load glyph range. range: ${w}, ${ee}-${se}`);let it={};for(let yt of a.n(je.data))it[yt.id]=yt;return it})},H.TinySDF=class{constructor({fontSize:le=24,buffer:w=3,radius:B=8,cutoff:Q=.25,fontFamily:ee=\"sans-serif\",fontWeight:se=\"normal\",fontStyle:qe=\"normal\"}={}){this.buffer=w,this.cutoff=Q,this.radius=B;let je=this.size=le+4*w,it=this._createCanvas(je),yt=this.ctx=it.getContext(\"2d\",{willReadFrequently:!0});yt.font=`${qe} ${se} ${le}px ${ee}`,yt.textBaseline=\"alphabetic\",yt.textAlign=\"left\",yt.fillStyle=\"black\",this.gridOuter=new Float64Array(je*je),this.gridInner=new Float64Array(je*je),this.f=new Float64Array(je),this.z=new Float64Array(je+1),this.v=new Uint16Array(je)}_createCanvas(le){let w=document.createElement(\"canvas\");return w.width=w.height=le,w}draw(le){let{width:w,actualBoundingBoxAscent:B,actualBoundingBoxDescent:Q,actualBoundingBoxLeft:ee,actualBoundingBoxRight:se}=this.ctx.measureText(le),qe=Math.ceil(B),je=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(se-ee))),it=Math.min(this.size-this.buffer,qe+Math.ceil(Q)),yt=je+2*this.buffer,Ot=it+2*this.buffer,Nt=Math.max(yt*Ot,0),hr=new Uint8ClampedArray(Nt),Sr={data:hr,width:yt,height:Ot,glyphWidth:je,glyphHeight:it,glyphTop:qe,glyphLeft:0,glyphAdvance:w};if(je===0||it===0)return Sr;let{ctx:he,buffer:be,gridInner:Pe,gridOuter:Oe}=this;he.clearRect(be,be,je,it),he.fillText(le,be,be+qe);let Je=he.getImageData(be,be,je,it);Oe.fill(F,0,Nt),Pe.fill(0,0,Nt);for(let He=0;He<it;He++)for(let et=0;et<je;et++){let Mt=Je.data[4*(He*je+et)+3]/255;if(Mt===0)continue;let Dt=(He+be)*yt+et+be;if(Mt===1)Oe[Dt]=0,Pe[Dt]=F;else{let Ut=.5-Mt;Oe[Dt]=Ut>0?Ut*Ut:0,Pe[Dt]=Ut<0?Ut*Ut:0}}q(Oe,0,0,yt,Ot,yt,this.f,this.v,this.z),q(Pe,be,be,je,it,yt,this.f,this.v,this.z);for(let He=0;He<Nt;He++){let et=Math.sqrt(Oe[He])-Math.sqrt(Pe[He]);hr[He]=Math.round(255-255*(et/this.radius+this.cutoff))}return Sr}};class X{constructor(){this.specification=a.v.light.position}possiblyEvaluate(w,B){return a.x(w.expression.evaluate(B))}interpolate(w,B,Q){return{x:a.y.number(w.x,B.x,Q),y:a.y.number(w.y,B.y,Q),z:a.y.number(w.z,B.z,Q)}}}let G;class N extends a.E{constructor(w){super(),G=G||new a.q({anchor:new a.D(a.v.light.anchor),position:new X,color:new a.D(a.v.light.color),intensity:new a.D(a.v.light.intensity)}),this._transitionable=new a.T(G),this.setLight(w),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(w,B={}){if(!this._validate(a.r,w,B))for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q){return(!Q||Q.validate!==!1)&&a.t(this,w.call(a.u,{value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v}))}}let W=new a.q({\"sky-color\":new a.D(a.v.sky[\"sky-color\"]),\"horizon-color\":new a.D(a.v.sky[\"horizon-color\"]),\"fog-color\":new a.D(a.v.sky[\"fog-color\"]),\"fog-ground-blend\":new a.D(a.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new a.D(a.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new a.D(a.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new a.D(a.v.sky[\"atmosphere-blend\"])});class re extends a.E{constructor(w){super(),this._transitionable=new a.T(W),this.setSky(w),this._transitioning=this._transitionable.untransitioned(),this.recalculate(new a.z(0))}setSky(w,B={}){if(!this._validate(a.B,w,B)){w||(w={\"sky-color\":\"transparent\",\"horizon-color\":\"transparent\",\"fog-color\":\"transparent\",\"fog-ground-blend\":1,\"atmosphere-blend\":0});for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}}getSky(){return this._transitionable.serialize()}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q={}){return(Q==null?void 0:Q.validate)!==!1&&a.t(this,w.call(a.u,a.e({value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v})))}calculateFogBlendOpacity(w){return w<60?0:w<70?(w-60)/10:1}}class ae{constructor(w,B){this.width=w,this.height=B,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(w,B){let Q=w.join(\",\")+String(B);return this.dashEntry[Q]||(this.dashEntry[Q]=this.addDash(w,B)),this.dashEntry[Q]}getDashRanges(w,B,Q){let ee=[],se=w.length%2==1?-w[w.length-1]*Q:0,qe=w[0]*Q,je=!0;ee.push({left:se,right:qe,isDash:je,zeroLength:w[0]===0});let it=w[0];for(let yt=1;yt<w.length;yt++){je=!je;let Ot=w[yt];se=it*Q,it+=Ot,qe=it*Q,ee.push({left:se,right:qe,isDash:je,zeroLength:Ot===0})}return ee}addRoundDash(w,B,Q){let ee=B/2;for(let se=-Q;se<=Q;se++){let qe=this.width*(this.nextRow+Q+se),je=0,it=w[je];for(let yt=0;yt<this.width;yt++){yt/it.right>1&&(it=w[++je]);let Ot=Math.abs(yt-it.left),Nt=Math.abs(yt-it.right),hr=Math.min(Ot,Nt),Sr,he=se/Q*(ee+1);if(it.isDash){let be=ee-Math.abs(he);Sr=Math.sqrt(hr*hr+be*be)}else Sr=ee-Math.sqrt(hr*hr+he*he);this.data[qe+yt]=Math.max(0,Math.min(255,Sr+128))}}}addRegularDash(w){for(let je=w.length-1;je>=0;--je){let it=w[je],yt=w[je+1];it.zeroLength?w.splice(je,1):yt&&yt.isDash===it.isDash&&(yt.left=it.left,w.splice(je,1))}let B=w[0],Q=w[w.length-1];B.isDash===Q.isDash&&(B.left=Q.left-this.width,Q.right=B.right+this.width);let ee=this.width*this.nextRow,se=0,qe=w[se];for(let je=0;je<this.width;je++){je/qe.right>1&&(qe=w[++se]);let it=Math.abs(je-qe.left),yt=Math.abs(je-qe.right),Ot=Math.min(it,yt);this.data[ee+je]=Math.max(0,Math.min(255,(qe.isDash?Ot:-Ot)+128))}}addDash(w,B){let Q=B?7:0,ee=2*Q+1;if(this.nextRow+ee>this.height)return a.w(\"LineAtlas out of space\"),null;let se=0;for(let je=0;je<w.length;je++)se+=w[je];if(se!==0){let je=this.width/se,it=this.getDashRanges(w,this.width,je);B?this.addRoundDash(it,je,Q):this.addRegularDash(it)}let qe={y:(this.nextRow+Q+.5)/this.height,height:2*Q/this.height,width:se};return this.nextRow+=ee,this.dirty=!0,qe}bind(w){let B=w.gl;this.texture?(B.bindTexture(B.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,B.texSubImage2D(B.TEXTURE_2D,0,0,0,this.width,this.height,B.ALPHA,B.UNSIGNED_BYTE,this.data))):(this.texture=B.createTexture(),B.bindTexture(B.TEXTURE_2D,this.texture),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_S,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_T,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MIN_FILTER,B.LINEAR),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MAG_FILTER,B.LINEAR),B.texImage2D(B.TEXTURE_2D,0,B.ALPHA,this.width,this.height,0,B.ALPHA,B.UNSIGNED_BYTE,this.data))}}let _e=\"maplibre_preloaded_worker_pool\";class Me{constructor(){this.active={}}acquire(w){if(!this.workers)for(this.workers=[];this.workers.length<Me.workerCount;)this.workers.push(new Worker(a.a.WORKER_URL));return this.active[w]=!0,this.workers.slice()}release(w){delete this.active[w],this.numActive()===0&&(this.workers.forEach(B=>{B.terminate()}),this.workers=null)}isPreloaded(){return!!this.active[_e]}numActive(){return Object.keys(this.active).length}}let ke=Math.floor(u.hardwareConcurrency/2),ge,ie;function Te(){return ge||(ge=new Me),ge}Me.workerCount=a.C(globalThis)?Math.max(Math.min(ke,3),1):1;class Ee{constructor(w,B){this.workerPool=w,this.actors=[],this.currentActor=0,this.id=B;let Q=this.workerPool.acquire(B);for(let ee=0;ee<Q.length;ee++){let se=new a.F(Q[ee],B);se.name=`Worker ${ee}`,this.actors.push(se)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(w,B){let Q=[];for(let ee of this.actors)Q.push(ee.sendAsync({type:w,data:B}));return Promise.all(Q)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(w=!0){this.actors.forEach(B=>{B.remove()}),this.actors=[],w&&this.workerPool.release(this.id)}registerMessageHandler(w,B){for(let Q of this.actors)Q.registerMessageHandler(w,B)}}function Ae(){return ie||(ie=new Ee(Te(),a.G),ie.registerMessageHandler(\"GR\",(le,w,B)=>a.m(w,B))),ie}function ze(le,w){let B=a.H();return a.J(B,B,[1,1,0]),a.K(B,B,[.5*le.width,.5*le.height,1]),a.L(B,B,le.calculatePosMatrix(w.toUnwrapped()))}function Ce(le,w,B,Q,ee,se){let qe=function(Nt,hr,Sr){if(Nt)for(let he of Nt){let be=hr[he];if(be&&be.source===Sr&&be.type===\"fill-extrusion\")return!0}else for(let he in hr){let be=hr[he];if(be.source===Sr&&be.type===\"fill-extrusion\")return!0}return!1}(ee&&ee.layers,w,le.id),je=se.maxPitchScaleFactor(),it=le.tilesIn(Q,je,qe);it.sort(me);let yt=[];for(let Nt of it)yt.push({wrappedTileID:Nt.tileID.wrapped().key,queryResults:Nt.tile.queryRenderedFeatures(w,B,le._state,Nt.queryGeometry,Nt.cameraQueryGeometry,Nt.scale,ee,se,je,ze(le.transform,Nt.tileID))});let Ot=function(Nt){let hr={},Sr={};for(let he of Nt){let be=he.queryResults,Pe=he.wrappedTileID,Oe=Sr[Pe]=Sr[Pe]||{};for(let Je in be){let He=be[Je],et=Oe[Je]=Oe[Je]||{},Mt=hr[Je]=hr[Je]||[];for(let Dt of He)et[Dt.featureIndex]||(et[Dt.featureIndex]=!0,Mt.push(Dt))}}return hr}(yt);for(let Nt in Ot)Ot[Nt].forEach(hr=>{let Sr=hr.feature,he=le.getFeatureState(Sr.layer[\"source-layer\"],Sr.id);Sr.source=Sr.layer.source,Sr.layer[\"source-layer\"]&&(Sr.sourceLayer=Sr.layer[\"source-layer\"]),Sr.state=he});return Ot}function me(le,w){let B=le.tileID,Q=w.tileID;return B.overscaledZ-Q.overscaledZ||B.canonical.y-Q.canonical.y||B.wrap-Q.wrap||B.canonical.x-Q.canonical.x}function Re(le,w,B){return a._(this,void 0,void 0,function*(){let Q=le;if(le.url?Q=(yield a.h(w.transformRequest(le.url,\"Source\"),B)).data:yield u.frameAsync(B),!Q)return null;let ee=a.M(a.e(Q,le),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in Q&&Q.vector_layers&&(ee.vectorLayerIds=Q.vector_layers.map(se=>se.id)),ee})}class ce{constructor(w,B){w&&(B?this.setSouthWest(w).setNorthEast(B):Array.isArray(w)&&(w.length===4?this.setSouthWest([w[0],w[1]]).setNorthEast([w[2],w[3]]):this.setSouthWest(w[0]).setNorthEast(w[1])))}setNorthEast(w){return this._ne=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}setSouthWest(w){return this._sw=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}extend(w){let B=this._sw,Q=this._ne,ee,se;if(w instanceof a.N)ee=w,se=w;else{if(!(w instanceof ce))return Array.isArray(w)?w.length===4||w.every(Array.isArray)?this.extend(ce.convert(w)):this.extend(a.N.convert(w)):w&&(\"lng\"in w||\"lon\"in w)&&\"lat\"in w?this.extend(a.N.convert(w)):this;if(ee=w._sw,se=w._ne,!ee||!se)return this}return B||Q?(B.lng=Math.min(ee.lng,B.lng),B.lat=Math.min(ee.lat,B.lat),Q.lng=Math.max(se.lng,Q.lng),Q.lat=Math.max(se.lat,Q.lat)):(this._sw=new a.N(ee.lng,ee.lat),this._ne=new a.N(se.lng,se.lat)),this}getCenter(){return new a.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new a.N(this.getWest(),this.getNorth())}getSouthEast(){return new a.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(w){let{lng:B,lat:Q}=a.N.convert(w),ee=this._sw.lng<=B&&B<=this._ne.lng;return this._sw.lng>this._ne.lng&&(ee=this._sw.lng>=B&&B>=this._ne.lng),this._sw.lat<=Q&&Q<=this._ne.lat&&ee}static convert(w){return w instanceof ce?w:w&&new ce(w)}static fromLngLat(w,B=0){let Q=360*B/40075017,ee=Q/Math.cos(Math.PI/180*w.lat);return new ce(new a.N(w.lng-ee,w.lat-Q),new a.N(w.lng+ee,w.lat+Q))}adjustAntiMeridian(){let w=new a.N(this._sw.lng,this._sw.lat),B=new a.N(this._ne.lng,this._ne.lat);return new ce(w,w.lng>B.lng?new a.N(B.lng+360,B.lat):B)}}class Ge{constructor(w,B,Q){this.bounds=ce.convert(this.validateBounds(w)),this.minzoom=B||0,this.maxzoom=Q||24}validateBounds(w){return Array.isArray(w)&&w.length===4?[Math.max(-180,w[0]),Math.max(-90,w[1]),Math.min(180,w[2]),Math.min(90,w[3])]:[-180,-90,180,90]}contains(w){let B=Math.pow(2,w.z),Q=Math.floor(a.O(this.bounds.getWest())*B),ee=Math.floor(a.Q(this.bounds.getNorth())*B),se=Math.ceil(a.O(this.bounds.getEast())*B),qe=Math.ceil(a.Q(this.bounds.getSouth())*B);return w.x>=Q&&w.x<se&&w.y>=ee&&w.y<qe}}class nt extends a.E{constructor(w,B,Q,ee){if(super(),this.id=w,this.dispatcher=Q,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=a.e({type:\"vector\"},B),this._collectResourceTiming=B.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(ee)}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Re(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ge(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}onAdd(w){this.map=w,this.load()}setSourceProperty(w){this._tileJSONRequest&&this._tileJSONRequest.abort(),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return a.e({},this._options)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q={request:this.map._requestManager.transformRequest(B,\"Tile\"),uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,tileSize:this.tileSize*w.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Q.request.collectResourceTiming=this._collectResourceTiming;let ee=\"RT\";if(w.actor&&w.state!==\"expired\"){if(w.state===\"loading\")return new Promise((se,qe)=>{w.reloadPromise={resolve:se,reject:qe}})}else w.actor=this.dispatcher.getActor(),ee=\"LT\";w.abortController=new AbortController;try{let se=yield w.actor.sendAsync({type:ee,data:Q},w.abortController);if(delete w.abortController,w.aborted)return;this._afterTileLoadWorkerResponse(w,se)}catch(se){if(delete w.abortController,w.aborted)return;if(se&&se.status!==404)throw se;this._afterTileLoadWorkerResponse(w,null)}})}_afterTileLoadWorkerResponse(w,B){if(B&&B.resourceTiming&&(w.resourceTiming=B.resourceTiming),B&&this.map._refreshExpiredTiles&&w.setExpiryData(B),w.loadVectorData(B,this.map.painter),w.reloadPromise){let Q=w.reloadPromise;w.reloadPromise=null,this.loadTile(w).then(Q.resolve).catch(Q.reject)}}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.actor&&(yield w.actor.sendAsync({type:\"AT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),w.actor&&(yield w.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}hasTransition(){return!1}}class ct extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.setEventedParent(ee),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=a.e({type:\"raster\"},B),a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\"]))}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Re(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ge(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}onAdd(w){this.map=w,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(w){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}serialize(){return a.e({},this._options)}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);w.abortController=new AbortController;try{let Q=yield g.getImage(this.map._requestManager.transformRequest(B,\"Tile\"),w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(Q&&Q.data){this.map._refreshExpiredTiles&&Q.cacheControl&&Q.expires&&w.setExpiryData({cacheControl:Q.cacheControl,expires:Q.expires});let ee=this.map.painter.context,se=ee.gl,qe=Q.data;w.texture=this.map.painter.getTileTexture(qe.width),w.texture?w.texture.update(qe,{useMipmap:!0}):(w.texture=new p(ee,qe,se.RGBA,{useMipmap:!0}),w.texture.bind(se.LINEAR,se.CLAMP_TO_EDGE,se.LINEAR_MIPMAP_NEAREST)),w.state=\"loaded\"}}catch(Q){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(Q)throw w.state=\"errored\",Q}})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController)})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.texture&&this.map.painter.saveTileTexture(w.texture)})}hasTransition(){return!1}}class qt extends ct{constructor(w,B,Q,ee){super(w,B,Q,ee),this.type=\"raster-dem\",this.maxzoom=22,this._options=a.e({type:\"raster-dem\"},B),this.encoding=B.encoding||\"mapbox\",this.redFactor=B.redFactor,this.greenFactor=B.greenFactor,this.blueFactor=B.blueFactor,this.baseShift=B.baseShift}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q=this.map._requestManager.transformRequest(B,\"Tile\");w.neighboringTiles=this._getNeighboringTiles(w.tileID),w.abortController=new AbortController;try{let ee=yield g.getImage(Q,w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(ee&&ee.data){let se=ee.data;this.map._refreshExpiredTiles&&ee.cacheControl&&ee.expires&&w.setExpiryData({cacheControl:ee.cacheControl,expires:ee.expires});let qe=a.b(se)&&a.U()?se:yield this.readImageNow(se),je={type:this.type,uid:w.uid,source:this.id,rawImageData:qe,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!w.actor||w.state===\"expired\"){w.actor=this.dispatcher.getActor();let it=yield w.actor.sendAsync({type:\"LDT\",data:je});w.dem=it,w.needsHillshadePrepare=!0,w.needsTerrainPrepare=!0,w.state=\"loaded\"}}}catch(ee){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(ee)throw w.state=\"errored\",ee}})}readImageNow(w){return a._(this,void 0,void 0,function*(){if(typeof VideoFrame!=\"undefined\"&&a.V()){let B=w.width+2,Q=w.height+2;try{return new a.R({width:B,height:Q},yield a.W(w,-1,-1,B,Q))}catch(ee){}}return u.getImageData(w,1)})}_getNeighboringTiles(w){let B=w.canonical,Q=Math.pow(2,B.z),ee=(B.x-1+Q)%Q,se=B.x===0?w.wrap-1:w.wrap,qe=(B.x+1+Q)%Q,je=B.x+1===Q?w.wrap+1:w.wrap,it={};return it[new a.S(w.overscaledZ,se,B.z,ee,B.y).key]={backfilled:!1},it[new a.S(w.overscaledZ,je,B.z,qe,B.y).key]={backfilled:!1},B.y>0&&(it[new a.S(w.overscaledZ,se,B.z,ee,B.y-1).key]={backfilled:!1},it[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y-1).key]={backfilled:!1},it[new a.S(w.overscaledZ,je,B.z,qe,B.y-1).key]={backfilled:!1}),B.y+1<Q&&(it[new a.S(w.overscaledZ,se,B.z,ee,B.y+1).key]={backfilled:!1},it[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y+1).key]={backfilled:!1},it[new a.S(w.overscaledZ,je,B.z,qe,B.y+1).key]={backfilled:!1}),it}unloadTile(w){return a._(this,void 0,void 0,function*(){w.demTexture&&this.map.painter.saveTileTexture(w.demTexture),w.fbo&&(w.fbo.destroy(),delete w.fbo),w.dem&&delete w.dem,delete w.neighboringTiles,w.state=\"unloaded\",w.actor&&(yield w.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:w.uid,source:this.id}}))})}}class rt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=Q.getActor(),this.setEventedParent(ee),this._data=B.data,this._options=a.e({},B),this._collectResourceTiming=B.collectResourceTiming,B.maxzoom!==void 0&&(this.maxzoom=B.maxzoom),B.type&&(this.type=B.type),B.attribution&&(this.attribution=B.attribution),this.promoteId=B.promoteId;let se=a.X/this.tileSize;B.clusterMaxZoom!==void 0&&this.maxzoom<=B.clusterMaxZoom&&a.w(`The maxzoom value \"${this.maxzoom}\" is expected to be greater than the clusterMaxZoom value \"${B.clusterMaxZoom}\".`),this.workerOptions=a.e({source:this.id,cluster:B.cluster||!1,geojsonVtOptions:{buffer:(B.buffer!==void 0?B.buffer:128)*se,tolerance:(B.tolerance!==void 0?B.tolerance:.375)*se,extent:a.X,maxZoom:this.maxzoom,lineMetrics:B.lineMetrics||!1,generateId:B.generateId||!1},superclusterOptions:{maxZoom:B.clusterMaxZoom!==void 0?B.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,B.clusterMinPoints||2),extent:a.X,radius:(B.clusterRadius||50)*se,log:!1,generateId:B.generateId||!1},clusterProperties:B.clusterProperties,filter:B.filter},B.workerOptions),typeof this.promoteId==\"string\"&&(this.workerOptions.promoteId=this.promoteId)}load(){return a._(this,void 0,void 0,function*(){yield this._updateWorkerData()})}onAdd(w){this.map=w,this.load()}setData(w){return this._data=w,this._updateWorkerData(),this}updateData(w){return this._updateWorkerData(w),this}getData(){return a._(this,void 0,void 0,function*(){let w=a.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:w})})}setClusterOptions(w){return this.workerOptions.cluster=w.cluster,w&&(w.clusterRadius!==void 0&&(this.workerOptions.superclusterOptions.radius=w.clusterRadius),w.clusterMaxZoom!==void 0&&(this.workerOptions.superclusterOptions.maxZoom=w.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(w){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterChildren(w){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterLeaves(w,B,Q){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:w,limit:B,offset:Q}})}_updateWorkerData(w){return a._(this,void 0,void 0,function*(){let B=a.e({type:this.type},this.workerOptions);w?B.dataDiff=w:typeof this._data==\"string\"?(B.request=this.map._requestManager.transformRequest(u.resolveURL(this._data),\"Source\"),B.request.collectResourceTiming=this._collectResourceTiming):B.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new a.k(\"dataloading\",{dataType:\"source\"}));try{let Q=yield this.actor.sendAsync({type:\"LD\",data:B});if(this._pendingLoads--,this._removed||Q.abandoned)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));let ee=null;Q.resourceTiming&&Q.resourceTiming[this.id]&&(ee=Q.resourceTiming[this.id].slice(0));let se={dataType:\"source\"};this._collectResourceTiming&&ee&&ee.length>0&&a.e(se,{resourceTiming:ee}),this.fire(new a.k(\"data\",Object.assign(Object.assign({},se),{sourceDataType:\"metadata\"}))),this.fire(new a.k(\"data\",Object.assign(Object.assign({},se),{sourceDataType:\"content\"})))}catch(Q){if(this._pendingLoads--,this._removed)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));this.fire(new a.j(Q))}})}loaded(){return this._pendingLoads===0}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.actor?\"RT\":\"LT\";w.actor=this.actor;let Q={type:this.type,uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};w.abortController=new AbortController;let ee=yield this.actor.sendAsync({type:B,data:Q},w.abortController);delete w.abortController,w.unloadVectorData(),w.aborted||w.loadVectorData(ee,this.map.painter,B===\"RT\")})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.aborted=!0})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}})})}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return a.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var ot=a.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class Rt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.coordinates=B.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(ee),this.options=B}load(w){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let B=yield g.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,B&&B.data&&(this.image=B.data,w&&(this.coordinates=w),this._finishLoading())}catch(B){this._request=null,this._loaded=!0,this.fire(new a.j(B))}})}loaded(){return this._loaded}updateImage(w){return w.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=w.url,this.load(w.coordinates).finally(()=>{this.texture=null}),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(w){this.map=w,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(w){this.coordinates=w;let B=w.map(a.Z.fromLngLat);this.tileID=function(ee){let se=1/0,qe=1/0,je=-1/0,it=-1/0;for(let hr of ee)se=Math.min(se,hr.x),qe=Math.min(qe,hr.y),je=Math.max(je,hr.x),it=Math.max(it,hr.y);let yt=Math.max(je-se,it-qe),Ot=Math.max(0,Math.floor(-Math.log(yt)/Math.LN2)),Nt=Math.pow(2,Ot);return new a.a1(Ot,Math.floor((se+je)/2*Nt),Math.floor((qe+it)/2*Nt))}(B),this.minzoom=this.maxzoom=this.tileID.z;let Q=B.map(ee=>this.tileID.getTilePoint(ee)._round());return this._boundsArray=new a.$,this._boundsArray.emplaceBack(Q[0].x,Q[0].y,0,0),this._boundsArray.emplaceBack(Q[1].x,Q[1].y,a.X,0),this._boundsArray.emplaceBack(Q[3].x,Q[3].y,0,a.X),this._boundsArray.emplaceBack(Q[2].x,Q[2].y,a.X,a.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new p(w,this.image,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let se=this.tiles[ee];se.state!==\"loaded\"&&(se.state=\"loaded\",se.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(w){return a._(this,void 0,void 0,function*(){this.tileID&&this.tileID.equals(w.tileID.canonical)?(this.tiles[String(w.tileID.wrap)]=w,w.buckets={}):w.state=\"errored\"})}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class kt extends Rt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.roundZoom=!0,this.type=\"video\",this.options=B}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1;let w=this.options;this.urls=[];for(let B of w.urls)this.urls.push(this.map._requestManager.transformRequest(B,\"Source\").url);try{let B=yield a.a3(this.urls);if(this._loaded=!0,!B)return;this.video=B,this.video.loop=!0,this.video.addEventListener(\"playing\",()=>{this.map.triggerRepaint()}),this.map&&this.video.play(),this._finishLoading()}catch(B){this.fire(new a.j(B))}})}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(w){if(this.video){let B=this.video.seekable;w<B.start(0)||w>B.end(0)?this.fire(new a.j(new a.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${B.start(0)} and ${B.end(0)}-second mark.`))):this.video.currentTime=w}}getVideo(){return this.video}onAdd(w){this.map||(this.map=w,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE),B.texSubImage2D(B.TEXTURE_2D,0,0,0,B.RGBA,B.UNSIGNED_BYTE,this.video)):(this.texture=new p(w,this.video,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let se=this.tiles[ee];se.state!==\"loaded\"&&(se.state=\"loaded\",se.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class Ct extends Rt{constructor(w,B,Q,ee){super(w,B,Q,ee),B.coordinates?Array.isArray(B.coordinates)&&B.coordinates.length===4&&!B.coordinates.some(se=>!Array.isArray(se)||se.length!==2||se.some(qe=>typeof qe!=\"number\"))||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"coordinates\"'))),B.animate&&typeof B.animate!=\"boolean\"&&this.fire(new a.j(new a.a2(`sources.${w}`,null,'optional \"animate\" property must be a boolean value'))),B.canvas?typeof B.canvas==\"string\"||B.canvas instanceof HTMLCanvasElement||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"canvas\"'))),this.options=B,this.animate=B.animate===void 0||B.animate}load(){return a._(this,void 0,void 0,function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new a.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())})}getCanvas(){return this.canvas}onAdd(w){this.map=w,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let w=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,w=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,w=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let B=this.map.painter.context,Q=B.gl;this.boundsBuffer||(this.boundsBuffer=B.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?(w||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new p(B,this.canvas,Q.RGBA,{premultiply:!0});let ee=!1;for(let se in this.tiles){let qe=this.tiles[se];qe.state!==\"loaded\"&&(qe.state=\"loaded\",qe.texture=this.texture,ee=!0)}ee&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let w of[this.canvas.width,this.canvas.height])if(isNaN(w)||w<=0)return!0;return!1}}let Yt={},xr=le=>{switch(le){case\"geojson\":return rt;case\"image\":return Rt;case\"raster\":return ct;case\"raster-dem\":return qt;case\"vector\":return nt;case\"video\":return kt;case\"canvas\":return Ct}return Yt[le]},er=\"RTLPluginLoaded\";class Ke extends a.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=Ae()}_syncState(w){return this.status=w,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:w,pluginURL:this.url}).catch(B=>{throw this.status=\"error\",B})}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(w){return a._(this,arguments,void 0,function*(B,Q=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=u.resolveURL(B),!this.url)throw new Error(`requested url ${B} is invalid`);if(this.status===\"unavailable\"){if(!Q)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()})}_requestImport(){return a._(this,void 0,void 0,function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new a.k(er))})}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let xt=null;function bt(){return xt||(xt=new Ke),xt}class Lt{constructor(w,B){this.timeAdded=0,this.fadeEndTime=0,this.tileID=w,this.uid=a.a4(),this.uses=0,this.tileSize=B,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(w){let B=w+this.timeAdded;B<this.fadeEndTime||(this.fadeEndTime=B)}wasRequested(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"}clearTextures(w){this.demTexture&&w.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(w,B,Q){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",w){w.featureIndex&&(this.latestFeatureIndex=w.featureIndex,w.rawTileData?(this.latestRawTileData=w.rawTileData,this.latestFeatureIndex.rawTileData=w.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=w.collisionBoxArray,this.buckets=function(ee,se){let qe={};if(!se)return qe;for(let je of ee){let it=je.layerIds.map(yt=>se.getLayer(yt)).filter(Boolean);if(it.length!==0){je.layers=it,je.stateDependentLayerIds&&(je.stateDependentLayers=je.stateDependentLayerIds.map(yt=>it.filter(Ot=>Ot.id===yt)[0]));for(let yt of it)qe[yt.id]=je}}return qe}(w.buckets,B.style),this.hasSymbolBuckets=!1;for(let ee in this.buckets){let se=this.buckets[ee];if(se instanceof a.a6){if(this.hasSymbolBuckets=!0,!Q)break;se.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let ee in this.buckets){let se=this.buckets[ee];if(se instanceof a.a6&&se.hasRTLText){this.hasRTLText=!0,bt().lazyLoad();break}}this.queryPadding=0;for(let ee in this.buckets){let se=this.buckets[ee];this.queryPadding=Math.max(this.queryPadding,B.style.getLayer(ee).queryRadius(se))}w.imageAtlas&&(this.imageAtlas=w.imageAtlas),w.glyphAtlasImage&&(this.glyphAtlasImage=w.glyphAtlasImage)}else this.collisionBoxArray=new a.a5}unloadVectorData(){for(let w in this.buckets)this.buckets[w].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(w){return this.buckets[w.id]}upload(w){for(let Q in this.buckets){let ee=this.buckets[Q];ee.uploadPending()&&ee.upload(w)}let B=w.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new p(w,this.imageAtlas.image,B.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new p(w,this.glyphAtlasImage,B.ALPHA),this.glyphAtlasImage=null)}prepare(w){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(w,this.imageAtlasTexture)}queryRenderedFeatures(w,B,Q,ee,se,qe,je,it,yt,Ot){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:ee,cameraQueryGeometry:se,scale:qe,tileSize:this.tileSize,pixelPosMatrix:Ot,transform:it,params:je,queryPadding:this.queryPadding*yt},w,B,Q):{}}querySourceFeatures(w,B){let Q=this.latestFeatureIndex;if(!Q||!Q.rawTileData)return;let ee=Q.loadVTLayers(),se=B&&B.sourceLayer?B.sourceLayer:\"\",qe=ee._geojsonTileLayer||ee[se];if(!qe)return;let je=a.a7(B&&B.filter),{z:it,x:yt,y:Ot}=this.tileID.canonical,Nt={z:it,x:yt,y:Ot};for(let hr=0;hr<qe.length;hr++){let Sr=qe.feature(hr);if(je.needGeometry){let Pe=a.a8(Sr,!0);if(!je.filter(new a.z(this.tileID.overscaledZ),Pe,this.tileID.canonical))continue}else if(!je.filter(new a.z(this.tileID.overscaledZ),Sr))continue;let he=Q.getId(Sr,se),be=new a.a9(Sr,it,yt,Ot,he);be.tile=Nt,w.push(be)}}hasData(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(w){let B=this.expirationTime;if(w.cacheControl){let Q=a.aa(w.cacheControl);Q[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*Q[\"max-age\"])}else w.expires&&(this.expirationTime=new Date(w.expires).getTime());if(this.expirationTime){let Q=Date.now(),ee=!1;if(this.expirationTime>Q)ee=!1;else if(B)if(this.expirationTime<B)ee=!0;else{let se=this.expirationTime-B;se?this.expirationTime=Q+Math.max(se,3e4):ee=!0}else ee=!0;ee?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)}setFeatureState(w,B){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(w).length===0)return;let Q=this.latestFeatureIndex.loadVTLayers();for(let ee in this.buckets){if(!B.style.hasLayer(ee))continue;let se=this.buckets[ee],qe=se.layers[0].sourceLayer||\"_geojsonTileLayer\",je=Q[qe],it=w[qe];if(!je||!it||Object.keys(it).length===0)continue;se.update(it,je,this.imageAtlas&&this.imageAtlas.patternPositions||{});let yt=B&&B.style&&B.style.getLayer(ee);yt&&(this.queryPadding=Math.max(this.queryPadding,yt.queryRadius(se)))}}holdingForFade(){return this.symbolFadeHoldUntil!==void 0}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<u.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(w){this.symbolFadeHoldUntil=u.now()+w}setDependencies(w,B){let Q={};for(let ee of B)Q[ee]=!0;this.dependencies[w]=Q}hasDependency(w,B){for(let Q of w){let ee=this.dependencies[Q];if(ee){for(let se of B)if(ee[se])return!0}}return!1}}class St{constructor(w,B){this.max=w,this.onRemove=B,this.reset()}reset(){for(let w in this.data)for(let B of this.data[w])B.timeout&&clearTimeout(B.timeout),this.onRemove(B.value);return this.data={},this.order=[],this}add(w,B,Q){let ee=w.wrapped().key;this.data[ee]===void 0&&(this.data[ee]=[]);let se={value:B,timeout:void 0};if(Q!==void 0&&(se.timeout=setTimeout(()=>{this.remove(w,se)},Q)),this.data[ee].push(se),this.order.push(ee),this.order.length>this.max){let qe=this._getAndRemoveByKey(this.order[0]);qe&&this.onRemove(qe)}return this}has(w){return w.wrapped().key in this.data}getAndRemove(w){return this.has(w)?this._getAndRemoveByKey(w.wrapped().key):null}_getAndRemoveByKey(w){let B=this.data[w].shift();return B.timeout&&clearTimeout(B.timeout),this.data[w].length===0&&delete this.data[w],this.order.splice(this.order.indexOf(w),1),B.value}getByKey(w){let B=this.data[w];return B?B[0].value:null}get(w){return this.has(w)?this.data[w.wrapped().key][0].value:null}remove(w,B){if(!this.has(w))return this;let Q=w.wrapped().key,ee=B===void 0?0:this.data[Q].indexOf(B),se=this.data[Q][ee];return this.data[Q].splice(ee,1),se.timeout&&clearTimeout(se.timeout),this.data[Q].length===0&&delete this.data[Q],this.onRemove(se.value),this.order.splice(this.order.indexOf(Q),1),this}setMaxSize(w){for(this.max=w;this.order.length>this.max;){let B=this._getAndRemoveByKey(this.order[0]);B&&this.onRemove(B)}return this}filter(w){let B=[];for(let Q in this.data)for(let ee of this.data[Q])w(ee.value)||B.push(ee);for(let Q of B)this.remove(Q.value.tileID,Q)}}class Et{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(w,B,Q){let ee=String(B);if(this.stateChanges[w]=this.stateChanges[w]||{},this.stateChanges[w][ee]=this.stateChanges[w][ee]||{},a.e(this.stateChanges[w][ee],Q),this.deletedStates[w]===null){this.deletedStates[w]={};for(let se in this.state[w])se!==ee&&(this.deletedStates[w][se]=null)}else if(this.deletedStates[w]&&this.deletedStates[w][ee]===null){this.deletedStates[w][ee]={};for(let se in this.state[w][ee])Q[se]||(this.deletedStates[w][ee][se]=null)}else for(let se in Q)this.deletedStates[w]&&this.deletedStates[w][ee]&&this.deletedStates[w][ee][se]===null&&delete this.deletedStates[w][ee][se]}removeFeatureState(w,B,Q){if(this.deletedStates[w]===null)return;let ee=String(B);if(this.deletedStates[w]=this.deletedStates[w]||{},Q&&B!==void 0)this.deletedStates[w][ee]!==null&&(this.deletedStates[w][ee]=this.deletedStates[w][ee]||{},this.deletedStates[w][ee][Q]=null);else if(B!==void 0)if(this.stateChanges[w]&&this.stateChanges[w][ee])for(Q in this.deletedStates[w][ee]={},this.stateChanges[w][ee])this.deletedStates[w][ee][Q]=null;else this.deletedStates[w][ee]=null;else this.deletedStates[w]=null}getState(w,B){let Q=String(B),ee=a.e({},(this.state[w]||{})[Q],(this.stateChanges[w]||{})[Q]);if(this.deletedStates[w]===null)return{};if(this.deletedStates[w]){let se=this.deletedStates[w][B];if(se===null)return{};for(let qe in se)delete ee[qe]}return ee}initializeTileState(w,B){w.setFeatureState(this.state,B)}coalesceChanges(w,B){let Q={};for(let ee in this.stateChanges){this.state[ee]=this.state[ee]||{};let se={};for(let qe in this.stateChanges[ee])this.state[ee][qe]||(this.state[ee][qe]={}),a.e(this.state[ee][qe],this.stateChanges[ee][qe]),se[qe]=this.state[ee][qe];Q[ee]=se}for(let ee in this.deletedStates){this.state[ee]=this.state[ee]||{};let se={};if(this.deletedStates[ee]===null)for(let qe in this.state[ee])se[qe]={},this.state[ee][qe]={};else for(let qe in this.deletedStates[ee]){if(this.deletedStates[ee][qe]===null)this.state[ee][qe]={};else for(let je of Object.keys(this.deletedStates[ee][qe]))delete this.state[ee][qe][je];se[qe]=this.state[ee][qe]}Q[ee]=Q[ee]||{},a.e(Q[ee],se)}if(this.stateChanges={},this.deletedStates={},Object.keys(Q).length!==0)for(let ee in w)w[ee].setFeatureState(Q,B)}}class dt extends a.E{constructor(w,B,Q){super(),this.id=w,this.dispatcher=Q,this.on(\"data\",ee=>this._dataHandler(ee)),this.on(\"dataloading\",()=>{this._sourceErrored=!1}),this.on(\"error\",()=>{this._sourceErrored=this._source.loaded()}),this._source=((ee,se,qe,je)=>{let it=new(xr(se.type))(ee,se,qe,je);if(it.id!==ee)throw new Error(`Expected Source id to be ${ee} instead of ${it.id}`);return it})(w,B,Q,this),this._tiles={},this._cache=new St(0,ee=>this._unloadTile(ee)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new Et,this._didEmitContent=!1,this._updated=!1}onAdd(w){this.map=w,this._maxTileCacheSize=w?w._maxTileCacheSize:null,this._maxTileCacheZoomLevels=w?w._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(w)}onRemove(w){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(w)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let w in this._tiles){let B=this._tiles[w];if(B.state!==\"loaded\"&&B.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let w=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,w&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(w,B,Q){return a._(this,void 0,void 0,function*(){try{yield this._source.loadTile(w),this._tileLoaded(w,B,Q)}catch(ee){w.state=\"errored\",ee.status!==404?this._source.fire(new a.j(ee,{tile:w})):this.update(this.transform,this.terrain)}})}_unloadTile(w){this._source.unloadTile&&this._source.unloadTile(w)}_abortTile(w){this._source.abortTile&&this._source.abortTile(w),this._source.fire(new a.k(\"dataabort\",{tile:w,coord:w.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(w){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let B in this._tiles){let Q=this._tiles[B];Q.upload(w),Q.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map(w=>w.tileID).sort(Ht).map(w=>w.key)}getRenderableIds(w){let B=[];for(let Q in this._tiles)this._isIdRenderable(Q,w)&&B.push(this._tiles[Q]);return w?B.sort((Q,ee)=>{let se=Q.tileID,qe=ee.tileID,je=new a.P(se.canonical.x,se.canonical.y)._rotate(this.transform.angle),it=new a.P(qe.canonical.x,qe.canonical.y)._rotate(this.transform.angle);return se.overscaledZ-qe.overscaledZ||it.y-je.y||it.x-je.x}).map(Q=>Q.tileID.key):B.map(Q=>Q.tileID).sort(Ht).map(Q=>Q.key)}hasRenderableParent(w){let B=this.findLoadedParent(w,0);return!!B&&this._isIdRenderable(B.tileID.key)}_isIdRenderable(w,B){return this._tiles[w]&&this._tiles[w].hasData()&&!this._coveredTiles[w]&&(B||!this._tiles[w].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let w in this._tiles)this._tiles[w].state!==\"errored\"&&this._reloadTile(w,\"reloading\")}}_reloadTile(w,B){return a._(this,void 0,void 0,function*(){let Q=this._tiles[w];Q&&(Q.state!==\"loading\"&&(Q.state=B),yield this._loadTile(Q,w,B))})}_tileLoaded(w,B,Q){w.timeAdded=u.now(),Q===\"expired\"&&(w.refreshedUponExpiration=!0),this._setTileReloadTimer(B,w),this.getSource().type===\"raster-dem\"&&w.dem&&this._backfillDEM(w),this._state.initializeTileState(w,this.map?this.map.painter:null),w.aborted||this._source.fire(new a.k(\"data\",{dataType:\"source\",tile:w,coord:w.tileID}))}_backfillDEM(w){let B=this.getRenderableIds();for(let ee=0;ee<B.length;ee++){let se=B[ee];if(w.neighboringTiles&&w.neighboringTiles[se]){let qe=this.getTileByID(se);Q(w,qe),Q(qe,w)}}function Q(ee,se){ee.needsHillshadePrepare=!0,ee.needsTerrainPrepare=!0;let qe=se.tileID.canonical.x-ee.tileID.canonical.x,je=se.tileID.canonical.y-ee.tileID.canonical.y,it=Math.pow(2,ee.tileID.canonical.z),yt=se.tileID.key;qe===0&&je===0||Math.abs(je)>1||(Math.abs(qe)>1&&(Math.abs(qe+it)===1?qe+=it:Math.abs(qe-it)===1&&(qe-=it)),se.dem&&ee.dem&&(ee.dem.backfillBorder(se.dem,qe,je),ee.neighboringTiles&&ee.neighboringTiles[yt]&&(ee.neighboringTiles[yt].backfilled=!0)))}}getTile(w){return this.getTileByID(w.key)}getTileByID(w){return this._tiles[w]}_retainLoadedChildren(w,B,Q,ee){for(let se in this._tiles){let qe=this._tiles[se];if(ee[se]||!qe.hasData()||qe.tileID.overscaledZ<=B||qe.tileID.overscaledZ>Q)continue;let je=qe.tileID;for(;qe&&qe.tileID.overscaledZ>B+1;){let yt=qe.tileID.scaledTo(qe.tileID.overscaledZ-1);qe=this._tiles[yt.key],qe&&qe.hasData()&&(je=yt)}let it=je;for(;it.overscaledZ>B;)if(it=it.scaledTo(it.overscaledZ-1),w[it.key]){ee[je.key]=je;break}}}findLoadedParent(w,B){if(w.key in this._loadedParentTiles){let Q=this._loadedParentTiles[w.key];return Q&&Q.tileID.overscaledZ>=B?Q:null}for(let Q=w.overscaledZ-1;Q>=B;Q--){let ee=w.scaledTo(Q),se=this._getLoadedTile(ee);if(se)return se}}findLoadedSibling(w){return this._getLoadedTile(w)}_getLoadedTile(w){let B=this._tiles[w.key];return B&&B.hasData()?B:this._cache.getByKey(w.wrapped().key)}updateCacheSize(w){let B=Math.ceil(w.width/this._source.tileSize)+1,Q=Math.ceil(w.height/this._source.tileSize)+1,ee=Math.floor(B*Q*(this._maxTileCacheZoomLevels===null?a.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),se=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,ee):ee;this._cache.setMaxSize(se)}handleWrapJump(w){let B=Math.round((w-(this._prevLng===void 0?w:this._prevLng))/360);if(this._prevLng=w,B){let Q={};for(let ee in this._tiles){let se=this._tiles[ee];se.tileID=se.tileID.unwrapTo(se.tileID.wrap+B),Q[se.tileID.key]=se}this._tiles=Q;for(let ee in this._timers)clearTimeout(this._timers[ee]),delete this._timers[ee];for(let ee in this._tiles)this._setTileReloadTimer(ee,this._tiles[ee])}}_updateCoveredAndRetainedTiles(w,B,Q,ee,se,qe){let je={},it={},yt=Object.keys(w),Ot=u.now();for(let Nt of yt){let hr=w[Nt],Sr=this._tiles[Nt];if(!Sr||Sr.fadeEndTime!==0&&Sr.fadeEndTime<=Ot)continue;let he=this.findLoadedParent(hr,B),be=this.findLoadedSibling(hr),Pe=he||be||null;Pe&&(this._addTile(Pe.tileID),je[Pe.tileID.key]=Pe.tileID),it[Nt]=hr}this._retainLoadedChildren(it,ee,Q,w);for(let Nt in je)w[Nt]||(this._coveredTiles[Nt]=!0,w[Nt]=je[Nt]);if(qe){let Nt={},hr={};for(let Sr of se)this._tiles[Sr.key].hasData()?Nt[Sr.key]=Sr:hr[Sr.key]=Sr;for(let Sr in hr){let he=hr[Sr].children(this._source.maxzoom);this._tiles[he[0].key]&&this._tiles[he[1].key]&&this._tiles[he[2].key]&&this._tiles[he[3].key]&&(Nt[he[0].key]=w[he[0].key]=he[0],Nt[he[1].key]=w[he[1].key]=he[1],Nt[he[2].key]=w[he[2].key]=he[2],Nt[he[3].key]=w[he[3].key]=he[3],delete hr[Sr])}for(let Sr in hr){let he=hr[Sr],be=this.findLoadedParent(he,this._source.minzoom),Pe=this.findLoadedSibling(he),Oe=be||Pe||null;if(Oe){Nt[Oe.tileID.key]=w[Oe.tileID.key]=Oe.tileID;for(let Je in Nt)Nt[Je].isChildOf(Oe.tileID)&&delete Nt[Je]}}for(let Sr in this._tiles)Nt[Sr]||(this._coveredTiles[Sr]=!0)}}update(w,B){if(!this._sourceLoaded||this._paused)return;let Q;this.transform=w,this.terrain=B,this.updateCacheSize(w),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?Q=w.getVisibleUnwrappedCoordinates(this._source.tileID).map(Ot=>new a.S(Ot.canonical.z,Ot.wrap,Ot.canonical.z,Ot.canonical.x,Ot.canonical.y)):(Q=w.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:B}),this._source.hasTile&&(Q=Q.filter(Ot=>this._source.hasTile(Ot)))):Q=[];let ee=w.coveringZoomLevel(this._source),se=Math.max(ee-dt.maxOverzooming,this._source.minzoom),qe=Math.max(ee+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let Ot={};for(let Nt of Q)if(Nt.canonical.z>this._source.minzoom){let hr=Nt.scaledTo(Nt.canonical.z-1);Ot[hr.key]=hr;let Sr=Nt.scaledTo(Math.max(this._source.minzoom,Math.min(Nt.canonical.z,5)));Ot[Sr.key]=Sr}Q=Q.concat(Object.values(Ot))}let je=Q.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,je&&this.fire(new a.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let it=this._updateRetainedTiles(Q,ee);$t(this._source.type)&&this._updateCoveredAndRetainedTiles(it,se,qe,ee,Q,B);for(let Ot in it)this._tiles[Ot].clearFadeHold();let yt=a.ab(this._tiles,it);for(let Ot of yt){let Nt=this._tiles[Ot];Nt.hasSymbolBuckets&&!Nt.holdingForFade()?Nt.setHoldDuration(this.map._fadeDuration):Nt.hasSymbolBuckets&&!Nt.symbolFadeFinished()||this._removeTile(Ot)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let w in this._tiles)this._tiles[w].holdingForFade()&&this._removeTile(w)}_updateRetainedTiles(w,B){var Q;let ee={},se={},qe=Math.max(B-dt.maxOverzooming,this._source.minzoom),je=Math.max(B+dt.maxUnderzooming,this._source.minzoom),it={};for(let yt of w){let Ot=this._addTile(yt);ee[yt.key]=yt,Ot.hasData()||B<this._source.maxzoom&&(it[yt.key]=yt)}this._retainLoadedChildren(it,B,je,ee);for(let yt of w){let Ot=this._tiles[yt.key];if(Ot.hasData())continue;if(B+1>this._source.maxzoom){let hr=yt.children(this._source.maxzoom)[0],Sr=this.getTile(hr);if(Sr&&Sr.hasData()){ee[hr.key]=hr;continue}}else{let hr=yt.children(this._source.maxzoom);if(ee[hr[0].key]&&ee[hr[1].key]&&ee[hr[2].key]&&ee[hr[3].key])continue}let Nt=Ot.wasRequested();for(let hr=yt.overscaledZ-1;hr>=qe;--hr){let Sr=yt.scaledTo(hr);if(se[Sr.key])break;if(se[Sr.key]=!0,Ot=this.getTile(Sr),!Ot&&Nt&&(Ot=this._addTile(Sr)),Ot){let he=Ot.hasData();if((he||!(!((Q=this.map)===null||Q===void 0)&&Q.cancelPendingTileRequestsWhileZooming)||Nt)&&(ee[Sr.key]=Sr),Nt=Ot.wasRequested(),he)break}}}return ee}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let w in this._tiles){let B=[],Q,ee=this._tiles[w].tileID;for(;ee.overscaledZ>0;){if(ee.key in this._loadedParentTiles){Q=this._loadedParentTiles[ee.key];break}B.push(ee.key);let se=ee.scaledTo(ee.overscaledZ-1);if(Q=this._getLoadedTile(se),Q)break;ee=se}for(let se of B)this._loadedParentTiles[se]=Q}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let w in this._tiles){let B=this._tiles[w].tileID,Q=this._getLoadedTile(B);this._loadedSiblingTiles[B.key]=Q}}_addTile(w){let B=this._tiles[w.key];if(B)return B;B=this._cache.getAndRemove(w),B&&(this._setTileReloadTimer(w.key,B),B.tileID=w,this._state.initializeTileState(B,this.map?this.map.painter:null),this._cacheTimers[w.key]&&(clearTimeout(this._cacheTimers[w.key]),delete this._cacheTimers[w.key],this._setTileReloadTimer(w.key,B)));let Q=B;return B||(B=new Lt(w,this._source.tileSize*w.overscaleFactor()),this._loadTile(B,w.key,B.state)),B.uses++,this._tiles[w.key]=B,Q||this._source.fire(new a.k(\"dataloading\",{tile:B,coord:B.tileID,dataType:\"source\"})),B}_setTileReloadTimer(w,B){w in this._timers&&(clearTimeout(this._timers[w]),delete this._timers[w]);let Q=B.getExpiryTimeout();Q&&(this._timers[w]=setTimeout(()=>{this._reloadTile(w,\"expired\"),delete this._timers[w]},Q))}_removeTile(w){let B=this._tiles[w];B&&(B.uses--,delete this._tiles[w],this._timers[w]&&(clearTimeout(this._timers[w]),delete this._timers[w]),B.uses>0||(B.hasData()&&B.state!==\"reloading\"?this._cache.add(B.tileID,B,B.getExpiryTimeout()):(B.aborted=!0,this._abortTile(B),this._unloadTile(B))))}_dataHandler(w){let B=w.sourceDataType;w.dataType===\"source\"&&B===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&w.dataType===\"source\"&&B===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let w in this._tiles)this._removeTile(w);this._cache.reset()}tilesIn(w,B,Q){let ee=[],se=this.transform;if(!se)return ee;let qe=Q?se.getCameraQueryGeometry(w):w,je=w.map(he=>se.pointCoordinate(he,this.terrain)),it=qe.map(he=>se.pointCoordinate(he,this.terrain)),yt=this.getIds(),Ot=1/0,Nt=1/0,hr=-1/0,Sr=-1/0;for(let he of it)Ot=Math.min(Ot,he.x),Nt=Math.min(Nt,he.y),hr=Math.max(hr,he.x),Sr=Math.max(Sr,he.y);for(let he=0;he<yt.length;he++){let be=this._tiles[yt[he]];if(be.holdingForFade())continue;let Pe=be.tileID,Oe=Math.pow(2,se.zoom-be.tileID.overscaledZ),Je=B*be.queryPadding*a.X/be.tileSize/Oe,He=[Pe.getTilePoint(new a.Z(Ot,Nt)),Pe.getTilePoint(new a.Z(hr,Sr))];if(He[0].x-Je<a.X&&He[0].y-Je<a.X&&He[1].x+Je>=0&&He[1].y+Je>=0){let et=je.map(Dt=>Pe.getTilePoint(Dt)),Mt=it.map(Dt=>Pe.getTilePoint(Dt));ee.push({tile:be,tileID:Pe,queryGeometry:et,cameraQueryGeometry:Mt,scale:Oe})}}return ee}getVisibleCoordinates(w){let B=this.getRenderableIds(w).map(Q=>this._tiles[Q].tileID);for(let Q of B)Q.posMatrix=this.transform.calculatePosMatrix(Q.toUnwrapped());return B}hasTransition(){if(this._source.hasTransition())return!0;if($t(this._source.type)){let w=u.now();for(let B in this._tiles)if(this._tiles[B].fadeEndTime>=w)return!0}return!1}setFeatureState(w,B,Q){this._state.updateState(w=w||\"_geojsonTileLayer\",B,Q)}removeFeatureState(w,B,Q){this._state.removeFeatureState(w=w||\"_geojsonTileLayer\",B,Q)}getFeatureState(w,B){return this._state.getState(w=w||\"_geojsonTileLayer\",B)}setDependencies(w,B,Q){let ee=this._tiles[w];ee&&ee.setDependencies(B,Q)}reloadTilesForDependencies(w,B){for(let Q in this._tiles)this._tiles[Q].hasDependency(w,B)&&this._reloadTile(Q,\"reloading\");this._cache.filter(Q=>!Q.hasDependency(w,B))}}function Ht(le,w){let B=Math.abs(2*le.wrap)-+(le.wrap<0),Q=Math.abs(2*w.wrap)-+(w.wrap<0);return le.overscaledZ-w.overscaledZ||Q-B||w.canonical.y-le.canonical.y||w.canonical.x-le.canonical.x}function $t(le){return le===\"raster\"||le===\"image\"||le===\"video\"}dt.maxOverzooming=10,dt.maxUnderzooming=3;class fr{constructor(w,B){this.reset(w,B)}reset(w,B){this.points=w||[],this._distances=[0];for(let Q=1;Q<this.points.length;Q++)this._distances[Q]=this._distances[Q-1]+this.points[Q].dist(this.points[Q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(B||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(w){if(this.points.length===1)return this.points[0];w=a.ac(w,0,1);let B=1,Q=this._distances[B],ee=w*this.paddedLength+this.padding;for(;Q<ee&&B<this._distances.length;)Q=this._distances[++B];let se=B-1,qe=this._distances[se],je=Q-qe,it=je>0?(ee-qe)/je:0;return this.points[se].mult(1-it).add(this.points[B].mult(it))}}function _r(le,w){let B=!0;return le===\"always\"||le!==\"never\"&&w!==\"never\"||(B=!1),B}class Br{constructor(w,B,Q){let ee=this.boxCells=[],se=this.circleCells=[];this.xCellCount=Math.ceil(w/Q),this.yCellCount=Math.ceil(B/Q);for(let qe=0;qe<this.xCellCount*this.yCellCount;qe++)ee.push([]),se.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=w,this.height=B,this.xScale=this.xCellCount/w,this.yScale=this.yCellCount/B,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(w,B,Q,ee,se){this._forEachCell(B,Q,ee,se,this._insertBoxCell,this.boxUid++),this.boxKeys.push(w),this.bboxes.push(B),this.bboxes.push(Q),this.bboxes.push(ee),this.bboxes.push(se)}insertCircle(w,B,Q,ee){this._forEachCell(B-ee,Q-ee,B+ee,Q+ee,this._insertCircleCell,this.circleUid++),this.circleKeys.push(w),this.circles.push(B),this.circles.push(Q),this.circles.push(ee)}_insertBoxCell(w,B,Q,ee,se,qe){this.boxCells[se].push(qe)}_insertCircleCell(w,B,Q,ee,se,qe){this.circleCells[se].push(qe)}_query(w,B,Q,ee,se,qe,je){if(Q<0||w>this.width||ee<0||B>this.height)return[];let it=[];if(w<=0&&B<=0&&this.width<=Q&&this.height<=ee){if(se)return[{key:null,x1:w,y1:B,x2:Q,y2:ee}];for(let yt=0;yt<this.boxKeys.length;yt++)it.push({key:this.boxKeys[yt],x1:this.bboxes[4*yt],y1:this.bboxes[4*yt+1],x2:this.bboxes[4*yt+2],y2:this.bboxes[4*yt+3]});for(let yt=0;yt<this.circleKeys.length;yt++){let Ot=this.circles[3*yt],Nt=this.circles[3*yt+1],hr=this.circles[3*yt+2];it.push({key:this.circleKeys[yt],x1:Ot-hr,y1:Nt-hr,x2:Ot+hr,y2:Nt+hr})}}else this._forEachCell(w,B,Q,ee,this._queryCell,it,{hitTest:se,overlapMode:qe,seenUids:{box:{},circle:{}}},je);return it}query(w,B,Q,ee){return this._query(w,B,Q,ee,!1,null)}hitTest(w,B,Q,ee,se,qe){return this._query(w,B,Q,ee,!0,se,qe).length>0}hitTestCircle(w,B,Q,ee,se){let qe=w-Q,je=w+Q,it=B-Q,yt=B+Q;if(je<0||qe>this.width||yt<0||it>this.height)return!1;let Ot=[];return this._forEachCell(qe,it,je,yt,this._queryCellCircle,Ot,{hitTest:!0,overlapMode:ee,circle:{x:w,y:B,radius:Q},seenUids:{box:{},circle:{}}},se),Ot.length>0}_queryCell(w,B,Q,ee,se,qe,je,it){let{seenUids:yt,hitTest:Ot,overlapMode:Nt}=je,hr=this.boxCells[se];if(hr!==null){let he=this.bboxes;for(let be of hr)if(!yt.box[be]){yt.box[be]=!0;let Pe=4*be,Oe=this.boxKeys[be];if(w<=he[Pe+2]&&B<=he[Pe+3]&&Q>=he[Pe+0]&&ee>=he[Pe+1]&&(!it||it(Oe))&&(!Ot||!_r(Nt,Oe.overlapMode))&&(qe.push({key:Oe,x1:he[Pe],y1:he[Pe+1],x2:he[Pe+2],y2:he[Pe+3]}),Ot))return!0}}let Sr=this.circleCells[se];if(Sr!==null){let he=this.circles;for(let be of Sr)if(!yt.circle[be]){yt.circle[be]=!0;let Pe=3*be,Oe=this.circleKeys[be];if(this._circleAndRectCollide(he[Pe],he[Pe+1],he[Pe+2],w,B,Q,ee)&&(!it||it(Oe))&&(!Ot||!_r(Nt,Oe.overlapMode))){let Je=he[Pe],He=he[Pe+1],et=he[Pe+2];if(qe.push({key:Oe,x1:Je-et,y1:He-et,x2:Je+et,y2:He+et}),Ot)return!0}}}return!1}_queryCellCircle(w,B,Q,ee,se,qe,je,it){let{circle:yt,seenUids:Ot,overlapMode:Nt}=je,hr=this.boxCells[se];if(hr!==null){let he=this.bboxes;for(let be of hr)if(!Ot.box[be]){Ot.box[be]=!0;let Pe=4*be,Oe=this.boxKeys[be];if(this._circleAndRectCollide(yt.x,yt.y,yt.radius,he[Pe+0],he[Pe+1],he[Pe+2],he[Pe+3])&&(!it||it(Oe))&&!_r(Nt,Oe.overlapMode))return qe.push(!0),!0}}let Sr=this.circleCells[se];if(Sr!==null){let he=this.circles;for(let be of Sr)if(!Ot.circle[be]){Ot.circle[be]=!0;let Pe=3*be,Oe=this.circleKeys[be];if(this._circlesCollide(he[Pe],he[Pe+1],he[Pe+2],yt.x,yt.y,yt.radius)&&(!it||it(Oe))&&!_r(Nt,Oe.overlapMode))return qe.push(!0),!0}}}_forEachCell(w,B,Q,ee,se,qe,je,it){let yt=this._convertToXCellCoord(w),Ot=this._convertToYCellCoord(B),Nt=this._convertToXCellCoord(Q),hr=this._convertToYCellCoord(ee);for(let Sr=yt;Sr<=Nt;Sr++)for(let he=Ot;he<=hr;he++)if(se.call(this,w,B,Q,ee,this.xCellCount*he+Sr,qe,je,it))return}_convertToXCellCoord(w){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(w*this.xScale)))}_convertToYCellCoord(w){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(w*this.yScale)))}_circlesCollide(w,B,Q,ee,se,qe){let je=ee-w,it=se-B,yt=Q+qe;return yt*yt>je*je+it*it}_circleAndRectCollide(w,B,Q,ee,se,qe,je){let it=(qe-ee)/2,yt=Math.abs(w-(ee+it));if(yt>it+Q)return!1;let Ot=(je-se)/2,Nt=Math.abs(B-(se+Ot));if(Nt>Ot+Q)return!1;if(yt<=it||Nt<=Ot)return!0;let hr=yt-it,Sr=Nt-Ot;return hr*hr+Sr*Sr<=Q*Q}}function Or(le,w,B,Q,ee){let se=a.H();return w?(a.K(se,se,[1/ee,1/ee,1]),B||a.ad(se,se,Q.angle)):a.L(se,Q.labelPlaneMatrix,le),se}function Nr(le,w,B,Q,ee){if(w){let se=a.ae(le);return a.K(se,se,[ee,ee,1]),B||a.ad(se,se,-Q.angle),se}return Q.glCoordMatrix}function ut(le,w,B,Q){let ee;Q?(ee=[le,w,Q(le,w),1],a.af(ee,ee,B)):(ee=[le,w,0,1],jr(ee,ee,B));let se=ee[3];return{point:new a.P(ee[0]/se,ee[1]/se),signedDistanceFromCamera:se,isOccluded:!1}}function Ne(le,w){return .5+le/w*.5}function Ye(le,w){return le.x>=-w[0]&&le.x<=w[0]&&le.y>=-w[1]&&le.y<=w[1]}function Ve(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he){let be=Q?le.textSizeData:le.iconSizeData,Pe=a.ag(be,B.transform.zoom),Oe=[256/B.width*2+1,256/B.height*2+1],Je=Q?le.text.dynamicLayoutVertexArray:le.icon.dynamicLayoutVertexArray;Je.clear();let He=le.lineVertexArray,et=Q?le.text.placedSymbolArray:le.icon.placedSymbolArray,Mt=B.transform.width/B.transform.height,Dt=!1;for(let Ut=0;Ut<et.length;Ut++){let tr=et.get(Ut);if(tr.hidden||tr.writingMode===a.ah.vertical&&!Dt){ai(tr.numGlyphs,Je);continue}Dt=!1;let mr=ut(tr.anchorX,tr.anchorY,w,he);if(!Ye(mr.point,Oe)){ai(tr.numGlyphs,Je);continue}let Rr=Ne(B.transform.cameraToCenterDistance,mr.signedDistanceFromCamera),zr=a.ai(be,Pe,tr),Xr=qe?zr/Rr:zr*Rr,di={getElevation:he,labelPlaneMatrix:ee,lineVertexArray:He,pitchWithMap:qe,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:yt,tileAnchorPoint:new a.P(tr.anchorX,tr.anchorY),unwrappedTileID:Ot,width:Nt,height:hr,translation:Sr},Li=Le(di,tr,Xr,!1,je,w,se,le.glyphOffsetArray,Je,Mt,it);Dt=Li.useVertical,(Li.notEnoughRoom||Dt||Li.needsFlipping&&Le(di,tr,Xr,!0,je,w,se,le.glyphOffsetArray,Je,Mt,it).notEnoughRoom)&&ai(tr.numGlyphs,Je)}Q?le.text.dynamicLayoutVertexBuffer.updateData(Je):le.icon.dynamicLayoutVertexBuffer.updateData(Je)}function Xe(le,w,B,Q,ee,se,qe,je){let it=se.glyphStartIndex+se.numGlyphs,yt=se.lineStartIndex,Ot=se.lineStartIndex+se.lineLength,Nt=w.getoffsetX(se.glyphStartIndex),hr=w.getoffsetX(it-1),Sr=ar(le*Nt,B,Q,ee,se.segment,yt,Ot,je,qe);if(!Sr)return null;let he=ar(le*hr,B,Q,ee,se.segment,yt,Ot,je,qe);return he?je.projectionCache.anyProjectionOccluded?null:{first:Sr,last:he}:null}function ht(le,w,B,Q){return le===a.ah.horizontal&&Math.abs(B.y-w.y)>Math.abs(B.x-w.x)*Q?{useVertical:!0}:(le===a.ah.vertical?w.y<B.y:w.x>B.x)?{needsFlipping:!0}:null}function Le(le,w,B,Q,ee,se,qe,je,it,yt,Ot){let Nt=B/24,hr=w.lineOffsetX*Nt,Sr=w.lineOffsetY*Nt,he;if(w.numGlyphs>1){let be=w.glyphStartIndex+w.numGlyphs,Pe=w.lineStartIndex,Oe=w.lineStartIndex+w.lineLength,Je=Xe(Nt,je,hr,Sr,Q,w,Ot,le);if(!Je)return{notEnoughRoom:!0};let He=ut(Je.first.point.x,Je.first.point.y,qe,le.getElevation).point,et=ut(Je.last.point.x,Je.last.point.y,qe,le.getElevation).point;if(ee&&!Q){let Mt=ht(w.writingMode,He,et,yt);if(Mt)return Mt}he=[Je.first];for(let Mt=w.glyphStartIndex+1;Mt<be-1;Mt++)he.push(ar(Nt*je.getoffsetX(Mt),hr,Sr,Q,w.segment,Pe,Oe,le,Ot));he.push(Je.last)}else{if(ee&&!Q){let Pe=ut(le.tileAnchorPoint.x,le.tileAnchorPoint.y,se,le.getElevation).point,Oe=w.lineStartIndex+w.segment+1,Je=new a.P(le.lineVertexArray.getx(Oe),le.lineVertexArray.gety(Oe)),He=ut(Je.x,Je.y,se,le.getElevation),et=He.signedDistanceFromCamera>0?He.point:function(Dt,Ut,tr,mr,Rr,zr){return xe(Dt,Ut,tr,1,Rr,zr)}(le.tileAnchorPoint,Je,Pe,0,se,le),Mt=ht(w.writingMode,Pe,et,yt);if(Mt)return Mt}let be=ar(Nt*je.getoffsetX(w.glyphStartIndex),hr,Sr,Q,w.segment,w.lineStartIndex,w.lineStartIndex+w.lineLength,le,Ot);if(!be||le.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};he=[be]}for(let be of he)a.aj(it,be.point,be.angle);return{}}function xe(le,w,B,Q,ee,se){let qe=le.add(le.sub(w)._unit()),je=ee!==void 0?ut(qe.x,qe.y,ee,se.getElevation).point:lt(qe.x,qe.y,se).point,it=B.sub(je);return B.add(it._mult(Q/it.mag()))}function Se(le,w,B){let Q=w.projectionCache;if(Q.projections[le])return Q.projections[le];let ee=new a.P(w.lineVertexArray.getx(le),w.lineVertexArray.gety(le)),se=lt(ee.x,ee.y,w);if(se.signedDistanceFromCamera>0)return Q.projections[le]=se.point,Q.anyProjectionOccluded=Q.anyProjectionOccluded||se.isOccluded,se.point;let qe=le-B.direction;return function(je,it,yt,Ot,Nt){return xe(je,it,yt,Ot,void 0,Nt)}(B.distanceFromAnchor===0?w.tileAnchorPoint:new a.P(w.lineVertexArray.getx(qe),w.lineVertexArray.gety(qe)),ee,B.previousVertex,B.absOffsetX-B.distanceFromAnchor+1,w)}function lt(le,w,B){let Q=le+B.translation[0],ee=w+B.translation[1],se;return!B.pitchWithMap&&B.projection.useSpecialProjectionForSymbols?(se=B.projection.projectTileCoordinates(Q,ee,B.unwrappedTileID,B.getElevation),se.point.x=(.5*se.point.x+.5)*B.width,se.point.y=(.5*-se.point.y+.5)*B.height):(se=ut(Q,ee,B.labelPlaneMatrix,B.getElevation),se.isOccluded=!1),se}function Gt(le,w,B){return le._unit()._perp()._mult(w*B)}function Vt(le,w,B,Q,ee,se,qe,je,it){if(je.projectionCache.offsets[le])return je.projectionCache.offsets[le];let yt=B.add(w);if(le+it.direction<Q||le+it.direction>=ee)return je.projectionCache.offsets[le]=yt,yt;let Ot=Se(le+it.direction,je,it),Nt=Gt(Ot.sub(B),qe,it.direction),hr=B.add(Nt),Sr=Ot.add(Nt);return je.projectionCache.offsets[le]=a.ak(se,yt,hr,Sr)||yt,je.projectionCache.offsets[le]}function ar(le,w,B,Q,ee,se,qe,je,it){let yt=Q?le-w:le+w,Ot=yt>0?1:-1,Nt=0;Q&&(Ot*=-1,Nt=Math.PI),Ot<0&&(Nt+=Math.PI);let hr,Sr=Ot>0?se+ee:se+ee+1;je.projectionCache.cachedAnchorPoint?hr=je.projectionCache.cachedAnchorPoint:(hr=lt(je.tileAnchorPoint.x,je.tileAnchorPoint.y,je).point,je.projectionCache.cachedAnchorPoint=hr);let he,be,Pe=hr,Oe=hr,Je=0,He=0,et=Math.abs(yt),Mt=[],Dt;for(;Je+He<=et;){if(Sr+=Ot,Sr<se||Sr>=qe)return null;Je+=He,Oe=Pe,be=he;let mr={absOffsetX:et,direction:Ot,distanceFromAnchor:Je,previousVertex:Oe};if(Pe=Se(Sr,je,mr),B===0)Mt.push(Oe),Dt=Pe.sub(Oe);else{let Rr,zr=Pe.sub(Oe);Rr=zr.mag()===0?Gt(Se(Sr+Ot,je,mr).sub(Pe),B,Ot):Gt(zr,B,Ot),be||(be=Oe.add(Rr)),he=Vt(Sr,Rr,Pe,se,qe,be,B,je,mr),Mt.push(be),Dt=he.sub(be)}He=Dt.mag()}let Ut=Dt._mult((et-Je)/He)._add(be||Oe),tr=Nt+Math.atan2(Pe.y-Oe.y,Pe.x-Oe.x);return Mt.push(Ut),{point:Ut,angle:it?tr:0,path:Mt}}let Qr=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ai(le,w){for(let B=0;B<le;B++){let Q=w.length;w.resize(Q+4),w.float32.set(Qr,3*Q)}}function jr(le,w,B){let Q=w[0],ee=w[1];return le[0]=B[0]*Q+B[4]*ee+B[12],le[1]=B[1]*Q+B[5]*ee+B[13],le[3]=B[3]*Q+B[7]*ee+B[15],le}let ri=100;class bi{constructor(w,B,Q=new Br(w.width+200,w.height+200,25),ee=new Br(w.width+200,w.height+200,25)){this.transform=w,this.mapProjection=B,this.grid=Q,this.ignoredGrid=ee,this.pitchFactor=Math.cos(w._pitch)*w.cameraToCenterDistance,this.screenRightBoundary=w.width+ri,this.screenBottomBoundary=w.height+ri,this.gridRightBoundary=w.width+200,this.gridBottomBoundary=w.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt){let hr=w.anchorPointX+it[0],Sr=w.anchorPointY+it[1],he=this.projectAndGetPerspectiveRatio(ee,hr,Sr,se,Ot),be=Q*he.perspectiveRatio,Pe;if(qe||je)Pe=this._projectCollisionBox(w,be,ee,se,qe,je,it,he,Ot,Nt);else{let Mt=he.point.x+(Nt?Nt.x*be:0),Dt=he.point.y+(Nt?Nt.y*be:0);Pe={allPointsOccluded:!1,box:[Mt+w.x1*be,Dt+w.y1*be,Mt+w.x2*be,Dt+w.y2*be]}}let[Oe,Je,He,et]=Pe.box;return this.mapProjection.useSpecialProjectionForSymbols&&(qe?Pe.allPointsOccluded:this.mapProjection.isOccluded(hr,Sr,se))||he.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(Oe,Je,He,et)||B!==\"always\"&&this.grid.hitTest(Oe,Je,He,et,B,yt)?{box:[Oe,Je,He,et],placeable:!1,offscreen:!1}:{box:[Oe,Je,He,et],placeable:!0,offscreen:this.isOffscreen(Oe,Je,He,et)}}placeCollisionCircles(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he,be,Pe){let Oe=[],Je=new a.P(B.anchorX,B.anchorY),He=this.getPerspectiveRatio(qe,Je.x,Je.y,je,Pe),et=(Nt?se/He:se*He)/a.ap,Mt={getElevation:Pe,labelPlaneMatrix:it,lineVertexArray:Q,pitchWithMap:Nt,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:Je,unwrappedTileID:je,width:this.transform.width,height:this.transform.height,translation:be},Dt=Xe(et,ee,B.lineOffsetX*et,B.lineOffsetY*et,!1,B,!1,Mt),Ut=!1,tr=!1,mr=!0;if(Dt){let Rr=.5*Sr*He+he,zr=new a.P(-100,-100),Xr=new a.P(this.screenRightBoundary,this.screenBottomBoundary),di=new fr,Li=Dt.first,Ci=Dt.last,Qi=[];for(let ea=Li.path.length-1;ea>=1;ea--)Qi.push(Li.path[ea]);for(let ea=1;ea<Ci.path.length;ea++)Qi.push(Ci.path[ea]);let Mn=2.5*Rr;if(yt){let ea=this.projectPathToScreenSpace(Qi,Mt,yt);Qi=ea.some(Ga=>Ga.signedDistanceFromCamera<=0)?[]:ea.map(Ga=>Ga.point)}let pa=[];if(Qi.length>0){let ea=Qi[0].clone(),Ga=Qi[0].clone();for(let To=1;To<Qi.length;To++)ea.x=Math.min(ea.x,Qi[To].x),ea.y=Math.min(ea.y,Qi[To].y),Ga.x=Math.max(Ga.x,Qi[To].x),Ga.y=Math.max(Ga.y,Qi[To].y);pa=ea.x>=zr.x&&Ga.x<=Xr.x&&ea.y>=zr.y&&Ga.y<=Xr.y?[Qi]:Ga.x<zr.x||ea.x>Xr.x||Ga.y<zr.y||ea.y>Xr.y?[]:a.al([Qi],zr.x,zr.y,Xr.x,Xr.y)}for(let ea of pa){di.reset(ea,.25*Rr);let Ga=0;Ga=di.length<=.5*Rr?1:Math.ceil(di.paddedLength/Mn)+1;for(let To=0;To<Ga;To++){let Wa=To/Math.max(Ga-1,1),co=di.lerp(Wa),Ro=co.x+ri,Ds=co.y+ri;Oe.push(Ro,Ds,Rr,0);let As=Ro-Rr,yo=Ds-Rr,po=Ro+Rr,_l=Ds+Rr;if(mr=mr&&this.isOffscreen(As,yo,po,_l),tr=tr||this.isInsideGrid(As,yo,po,_l),w!==\"always\"&&this.grid.hitTestCircle(Ro,Ds,Rr,w,hr)&&(Ut=!0,!Ot))return{circles:[],offscreen:!1,collisionDetected:Ut}}}}return{circles:!Ot&&Ut||!tr||He<this.perspectiveRatioCutoff?[]:Oe,offscreen:mr,collisionDetected:Ut}}projectPathToScreenSpace(w,B,Q){return w.map(ee=>ut(ee.x,ee.y,Q,B.getElevation))}queryRenderedSymbols(w){if(w.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let B=[],Q=1/0,ee=1/0,se=-1/0,qe=-1/0;for(let Ot of w){let Nt=new a.P(Ot.x+ri,Ot.y+ri);Q=Math.min(Q,Nt.x),ee=Math.min(ee,Nt.y),se=Math.max(se,Nt.x),qe=Math.max(qe,Nt.y),B.push(Nt)}let je=this.grid.query(Q,ee,se,qe).concat(this.ignoredGrid.query(Q,ee,se,qe)),it={},yt={};for(let Ot of je){let Nt=Ot.key;if(it[Nt.bucketInstanceId]===void 0&&(it[Nt.bucketInstanceId]={}),it[Nt.bucketInstanceId][Nt.featureIndex])continue;let hr=[new a.P(Ot.x1,Ot.y1),new a.P(Ot.x2,Ot.y1),new a.P(Ot.x2,Ot.y2),new a.P(Ot.x1,Ot.y2)];a.am(B,hr)&&(it[Nt.bucketInstanceId][Nt.featureIndex]=!0,yt[Nt.bucketInstanceId]===void 0&&(yt[Nt.bucketInstanceId]=[]),yt[Nt.bucketInstanceId].push(Nt.featureIndex))}return yt}insertCollisionBox(w,B,Q,ee,se,qe){(Q?this.ignoredGrid:this.grid).insert({bucketInstanceId:ee,featureIndex:se,collisionGroupID:qe,overlapMode:B},w[0],w[1],w[2],w[3])}insertCollisionCircles(w,B,Q,ee,se,qe){let je=Q?this.ignoredGrid:this.grid,it={bucketInstanceId:ee,featureIndex:se,collisionGroupID:qe,overlapMode:B};for(let yt=0;yt<w.length;yt+=4)je.insertCircle(it,w[yt],w[yt+1],w[yt+2])}projectAndGetPerspectiveRatio(w,B,Q,ee,se){let qe;se?(qe=[B,Q,se(B,Q),1],a.af(qe,qe,w)):(qe=[B,Q,0,1],jr(qe,qe,w));let je=qe[3];return{point:new a.P((qe[0]/je+1)/2*this.transform.width+ri,(-qe[1]/je+1)/2*this.transform.height+ri),perspectiveRatio:.5+this.transform.cameraToCenterDistance/je*.5,isOccluded:!1,signedDistanceFromCamera:je}}getPerspectiveRatio(w,B,Q,ee,se){let qe=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(B,Q,ee,se):ut(B,Q,w,se);return .5+this.transform.cameraToCenterDistance/qe.signedDistanceFromCamera*.5}isOffscreen(w,B,Q,ee){return Q<ri||w>=this.screenRightBoundary||ee<ri||B>this.screenBottomBoundary}isInsideGrid(w,B,Q,ee){return Q>=0&&w<this.gridRightBoundary&&ee>=0&&B<this.gridBottomBoundary}getViewportMatrix(){let w=a.an([]);return a.J(w,w,[-100,-100,0]),w}_projectCollisionBox(w,B,Q,ee,se,qe,je,it,yt,Ot){let Nt=new a.P(1,0),hr=new a.P(0,1),Sr=new a.P(w.anchorPointX+je[0],w.anchorPointY+je[1]);if(qe&&!se){let mr=this.projectAndGetPerspectiveRatio(Q,Sr.x+1,Sr.y,ee,yt).point.sub(it.point).unit(),Rr=Math.atan(mr.y/mr.x)+(mr.x<0?Math.PI:0),zr=Math.sin(Rr),Xr=Math.cos(Rr);Nt=new a.P(Xr,zr),hr=new a.P(-zr,Xr)}else if(!qe&&se){let mr=-this.transform.angle,Rr=Math.sin(mr),zr=Math.cos(mr);Nt=new a.P(zr,Rr),hr=new a.P(-Rr,zr)}let he=it.point,be=B;if(se){he=Sr;let mr=this.transform.zoom-Math.floor(this.transform.zoom);be=Math.pow(2,-mr),be*=this.mapProjection.getPitchedTextCorrection(this.transform,Sr,ee),Ot||(be*=a.ac(.5+it.signedDistanceFromCamera/this.transform.cameraToCenterDistance*.5,0,4))}Ot&&(he=he.add(Nt.mult(Ot.x*be)).add(hr.mult(Ot.y*be)));let Pe=w.x1*be,Oe=w.x2*be,Je=(Pe+Oe)/2,He=w.y1*be,et=w.y2*be,Mt=(He+et)/2,Dt=[{offsetX:Pe,offsetY:He},{offsetX:Je,offsetY:He},{offsetX:Oe,offsetY:He},{offsetX:Oe,offsetY:Mt},{offsetX:Oe,offsetY:et},{offsetX:Je,offsetY:et},{offsetX:Pe,offsetY:et},{offsetX:Pe,offsetY:Mt}],Ut=[];for(let{offsetX:mr,offsetY:Rr}of Dt)Ut.push(new a.P(he.x+Nt.x*mr+hr.x*Rr,he.y+Nt.y*mr+hr.y*Rr));let tr=!1;if(se){let mr=Ut.map(Rr=>this.projectAndGetPerspectiveRatio(Q,Rr.x,Rr.y,ee,yt));tr=mr.some(Rr=>!Rr.isOccluded),Ut=mr.map(Rr=>Rr.point)}else tr=!0;return{box:a.ao(Ut),allPointsOccluded:!tr}}}function nn(le,w,B){return w*(a.X/(le.tileSize*Math.pow(2,B-le.tileID.overscaledZ)))}class Wi{constructor(w,B,Q,ee){this.opacity=w?Math.max(0,Math.min(1,w.opacity+(w.placed?B:-B))):ee&&Q?1:0,this.placed=Q}isHidden(){return this.opacity===0&&!this.placed}}class Ni{constructor(w,B,Q,ee,se){this.text=new Wi(w?w.text:null,B,Q,se),this.icon=new Wi(w?w.icon:null,B,ee,se)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class _n{constructor(w,B,Q){this.text=w,this.icon=B,this.skipFade=Q}}class $i{constructor(){this.invProjMatrix=a.H(),this.viewportMatrix=a.H(),this.circles=[]}}class zn{constructor(w,B,Q,ee,se){this.bucketInstanceId=w,this.featureIndex=B,this.sourceLayerIndex=Q,this.bucketIndex=ee,this.tileID=se}}class Wn{constructor(w){this.crossSourceCollisions=w,this.maxGroupID=0,this.collisionGroups={}}get(w){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[w]){let B=++this.maxGroupID;this.collisionGroups[w]={ID:B,predicate:Q=>Q.collisionGroupID===B}}return this.collisionGroups[w]}}function It(le,w,B,Q,ee){let{horizontalAlign:se,verticalAlign:qe}=a.au(le);return new a.P(-(se-.5)*w+Q[0]*ee,-(qe-.5)*B+Q[1]*ee)}class ft{constructor(w,B,Q,ee,se,qe){this.transform=w.clone(),this.terrain=Q,this.collisionIndex=new bi(this.transform,B),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ee,this.retainedQueryData={},this.collisionGroups=new Wn(se),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=qe,qe&&(qe.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(w){let B=this.terrain;return B?(Q,ee)=>B.getElevation(w,Q,ee):null}getBucketParts(w,B,Q,ee){let se=Q.getBucket(B),qe=Q.latestFeatureIndex;if(!se||!qe||B.id!==se.layerIds[0])return;let je=Q.collisionBoxArray,it=se.layers[0].layout,yt=se.layers[0].paint,Ot=Math.pow(2,this.transform.zoom-Q.tileID.overscaledZ),Nt=Q.tileSize/a.X,hr=Q.tileID.toUnwrapped(),Sr=this.transform.calculatePosMatrix(hr),he=it.get(\"text-pitch-alignment\")===\"map\",be=it.get(\"text-rotation-alignment\")===\"map\",Pe=nn(Q,1,this.transform.zoom),Oe=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,yt.get(\"text-translate\"),yt.get(\"text-translate-anchor\")),Je=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,yt.get(\"icon-translate\"),yt.get(\"icon-translate-anchor\")),He=Or(Sr,he,be,this.transform,Pe),et=null;if(he){let Dt=Nr(Sr,he,be,this.transform,Pe);et=a.L([],this.transform.labelPlaneMatrix,Dt)}this.retainedQueryData[se.bucketInstanceId]=new zn(se.bucketInstanceId,qe,se.sourceLayerIndex,se.index,Q.tileID);let Mt={bucket:se,layout:it,translationText:Oe,translationIcon:Je,posMatrix:Sr,unwrappedTileID:hr,textLabelPlaneMatrix:He,labelToScreenMatrix:et,scale:Ot,textPixelRatio:Nt,holdingForFade:Q.holdingForFade(),collisionBoxArray:je,partiallyEvaluatedTextSize:a.ag(se.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(se.sourceID)};if(ee)for(let Dt of se.sortKeyRanges){let{sortKey:Ut,symbolInstanceStart:tr,symbolInstanceEnd:mr}=Dt;w.push({sortKey:Ut,symbolInstanceStart:tr,symbolInstanceEnd:mr,parameters:Mt})}else w.push({symbolInstanceStart:0,symbolInstanceEnd:se.symbolInstances.length,parameters:Mt})}attemptAnchorPlacement(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he,be,Pe,Oe,Je,He){let et=a.aq[w.textAnchor],Mt=[w.textOffset0,w.textOffset1],Dt=It(et,Q,ee,Mt,se),Ut=this.collisionIndex.placeCollisionBox(B,hr,it,yt,Ot,je,qe,Pe,Nt.predicate,He,Dt);if((!Je||this.collisionIndex.placeCollisionBox(Je,hr,it,yt,Ot,je,qe,Oe,Nt.predicate,He,Dt).placeable)&&Ut.placeable){let tr;if(this.prevPlacement&&this.prevPlacement.variableOffsets[Sr.crossTileID]&&this.prevPlacement.placements[Sr.crossTileID]&&this.prevPlacement.placements[Sr.crossTileID].text&&(tr=this.prevPlacement.variableOffsets[Sr.crossTileID].anchor),Sr.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[Sr.crossTileID]={textOffset:Mt,width:Q,height:ee,anchor:et,textBoxScale:se,prevAnchor:tr},this.markUsedJustification(he,et,Sr,be),he.allowVerticalPlacement&&(this.markUsedOrientation(he,be,Sr),this.placedOrientations[Sr.crossTileID]=be),{shift:Dt,placedGlyphBoxes:Ut}}}placeLayerBucketPart(w,B,Q){let{bucket:ee,layout:se,translationText:qe,translationIcon:je,posMatrix:it,unwrappedTileID:yt,textLabelPlaneMatrix:Ot,labelToScreenMatrix:Nt,textPixelRatio:hr,holdingForFade:Sr,collisionBoxArray:he,partiallyEvaluatedTextSize:be,collisionGroup:Pe}=w.parameters,Oe=se.get(\"text-optional\"),Je=se.get(\"icon-optional\"),He=a.ar(se,\"text-overlap\",\"text-allow-overlap\"),et=He===\"always\",Mt=a.ar(se,\"icon-overlap\",\"icon-allow-overlap\"),Dt=Mt===\"always\",Ut=se.get(\"text-rotation-alignment\")===\"map\",tr=se.get(\"text-pitch-alignment\")===\"map\",mr=se.get(\"icon-text-fit\")!==\"none\",Rr=se.get(\"symbol-z-order\")===\"viewport-y\",zr=et&&(Dt||!ee.hasIconData()||Je),Xr=Dt&&(et||!ee.hasTextData()||Oe);!ee.collisionArrays&&he&&ee.deserializeCollisionBoxes(he);let di=this._getTerrainElevationFunc(this.retainedQueryData[ee.bucketInstanceId].tileID),Li=(Ci,Qi,Mn)=>{var pa,ea;if(B[Ci.crossTileID])return;if(Sr)return void(this.placements[Ci.crossTileID]=new _n(!1,!1,!1));let Ga=!1,To=!1,Wa=!0,co=null,Ro={box:null,placeable:!1,offscreen:null},Ds={box:null,placeable:!1,offscreen:null},As=null,yo=null,po=null,_l=0,Vl=0,Zu=0;Qi.textFeatureIndex?_l=Qi.textFeatureIndex:Ci.useRuntimeCollisionCircles&&(_l=Ci.featureIndex),Qi.verticalTextFeatureIndex&&(Vl=Qi.verticalTextFeatureIndex);let cu=Qi.textBox;if(cu){let Dl=we=>{let Be=a.ah.horizontal;if(ee.allowVerticalPlacement&&!we&&this.prevPlacement){let Ue=this.prevPlacement.placedOrientations[Ci.crossTileID];Ue&&(this.placedOrientations[Ci.crossTileID]=Ue,Be=Ue,this.markUsedOrientation(ee,Be,Ci))}return Be},zl=(we,Be)=>{if(ee.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&Qi.verticalTextBox){for(let Ue of ee.writingModes)if(Ue===a.ah.vertical?(Ro=Be(),Ds=Ro):Ro=we(),Ro&&Ro.placeable)break}else Ro=we()},Z=Ci.textAnchorOffsetStartIndex,oe=Ci.textAnchorOffsetEndIndex;if(oe===Z){let we=(Be,Ue)=>{let We=this.collisionIndex.placeCollisionBox(Be,He,hr,it,yt,tr,Ut,qe,Pe.predicate,di);return We&&We.placeable&&(this.markUsedOrientation(ee,Ue,Ci),this.placedOrientations[Ci.crossTileID]=Ue),We};zl(()=>we(cu,a.ah.horizontal),()=>{let Be=Qi.verticalTextBox;return ee.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&Be?we(Be,a.ah.vertical):{box:null,offscreen:null}}),Dl(Ro&&Ro.placeable)}else{let we=a.aq[(ea=(pa=this.prevPlacement)===null||pa===void 0?void 0:pa.variableOffsets[Ci.crossTileID])===null||ea===void 0?void 0:ea.anchor],Be=(We,wt,tt)=>{let zt=We.x2-We.x1,or=We.y2-We.y1,lr=Ci.textBoxScale,Dr=mr&&Mt===\"never\"?wt:null,Ir=null,oi=He===\"never\"?1:2,ui=\"never\";we&&oi++;for(let qr=0;qr<oi;qr++){for(let Kr=Z;Kr<oe;Kr++){let ii=ee.textAnchorOffsets.get(Kr);if(we&&ii.textAnchor!==we)continue;let vi=this.attemptAnchorPlacement(ii,We,zt,or,lr,Ut,tr,hr,it,yt,Pe,ui,Ci,ee,tt,qe,je,Dr,di);if(vi&&(Ir=vi.placedGlyphBoxes,Ir&&Ir.placeable))return Ga=!0,co=vi.shift,Ir}we?we=null:ui=He}return Q&&!Ir&&(Ir={box:this.collisionIndex.placeCollisionBox(cu,\"always\",hr,it,yt,tr,Ut,qe,Pe.predicate,di,new a.P(0,0)).box,offscreen:!1,placeable:!1}),Ir};zl(()=>Be(cu,Qi.iconBox,a.ah.horizontal),()=>{let We=Qi.verticalTextBox;return ee.allowVerticalPlacement&&(!Ro||!Ro.placeable)&&Ci.numVerticalGlyphVertices>0&&We?Be(We,Qi.verticalIconBox,a.ah.vertical):{box:null,occluded:!0,offscreen:null}}),Ro&&(Ga=Ro.placeable,Wa=Ro.offscreen);let Ue=Dl(Ro&&Ro.placeable);if(!Ga&&this.prevPlacement){let We=this.prevPlacement.variableOffsets[Ci.crossTileID];We&&(this.variableOffsets[Ci.crossTileID]=We,this.markUsedJustification(ee,We.anchor,Ci,Ue))}}}if(As=Ro,Ga=As&&As.placeable,Wa=As&&As.offscreen,Ci.useRuntimeCollisionCircles){let Dl=ee.text.placedSymbolArray.get(Ci.centerJustifiedTextSymbolIndex),zl=a.ai(ee.textSizeData,be,Dl),Z=se.get(\"text-padding\");yo=this.collisionIndex.placeCollisionCircles(He,Dl,ee.lineVertexArray,ee.glyphOffsetArray,zl,it,yt,Ot,Nt,Q,tr,Pe.predicate,Ci.collisionCircleDiameter,Z,qe,di),yo.circles.length&&yo.collisionDetected&&!Q&&a.w(\"Collisions detected, but collision boxes are not shown\"),Ga=et||yo.circles.length>0&&!yo.collisionDetected,Wa=Wa&&yo.offscreen}if(Qi.iconFeatureIndex&&(Zu=Qi.iconFeatureIndex),Qi.iconBox){let Dl=zl=>this.collisionIndex.placeCollisionBox(zl,Mt,hr,it,yt,tr,Ut,je,Pe.predicate,di,mr&&co?co:void 0);Ds&&Ds.placeable&&Qi.verticalIconBox?(po=Dl(Qi.verticalIconBox),To=po.placeable):(po=Dl(Qi.iconBox),To=po.placeable),Wa=Wa&&po.offscreen}let el=Oe||Ci.numHorizontalGlyphVertices===0&&Ci.numVerticalGlyphVertices===0,nu=Je||Ci.numIconVertices===0;el||nu?nu?el||(To=To&&Ga):Ga=To&&Ga:To=Ga=To&&Ga;let zc=To&&po.placeable;if(Ga&&As.placeable&&this.collisionIndex.insertCollisionBox(As.box,He,se.get(\"text-ignore-placement\"),ee.bucketInstanceId,Ds&&Ds.placeable&&Vl?Vl:_l,Pe.ID),zc&&this.collisionIndex.insertCollisionBox(po.box,Mt,se.get(\"icon-ignore-placement\"),ee.bucketInstanceId,Zu,Pe.ID),yo&&Ga&&this.collisionIndex.insertCollisionCircles(yo.circles,He,se.get(\"text-ignore-placement\"),ee.bucketInstanceId,_l,Pe.ID),Q&&this.storeCollisionData(ee.bucketInstanceId,Mn,Qi,As,po,yo),Ci.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(ee.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[Ci.crossTileID]=new _n(Ga||zr,To||Xr,Wa||ee.justReloaded),B[Ci.crossTileID]=!0};if(Rr){if(w.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let Ci=ee.getSortedSymbolIndexes(this.transform.angle);for(let Qi=Ci.length-1;Qi>=0;--Qi){let Mn=Ci[Qi];Li(ee.symbolInstances.get(Mn),ee.collisionArrays[Mn],Mn)}}else for(let Ci=w.symbolInstanceStart;Ci<w.symbolInstanceEnd;Ci++)Li(ee.symbolInstances.get(Ci),ee.collisionArrays[Ci],Ci);if(Q&&ee.bucketInstanceId in this.collisionCircleArrays){let Ci=this.collisionCircleArrays[ee.bucketInstanceId];a.as(Ci.invProjMatrix,it),Ci.viewportMatrix=this.collisionIndex.getViewportMatrix()}ee.justReloaded=!1}storeCollisionData(w,B,Q,ee,se,qe){if(Q.textBox||Q.iconBox){let je,it;this.collisionBoxArrays.has(w)?je=this.collisionBoxArrays.get(w):(je=new Map,this.collisionBoxArrays.set(w,je)),je.has(B)?it=je.get(B):(it={text:null,icon:null},je.set(B,it)),Q.textBox&&(it.text=ee.box),Q.iconBox&&(it.icon=se.box)}if(qe){let je=this.collisionCircleArrays[w];je===void 0&&(je=this.collisionCircleArrays[w]=new $i);for(let it=0;it<qe.circles.length;it+=4)je.circles.push(qe.circles[it+0]),je.circles.push(qe.circles[it+1]),je.circles.push(qe.circles[it+2]),je.circles.push(qe.collisionDetected?1:0)}}markUsedJustification(w,B,Q,ee){let se;se=ee===a.ah.vertical?Q.verticalPlacedTextSymbolIndex:{left:Q.leftJustifiedTextSymbolIndex,center:Q.centerJustifiedTextSymbolIndex,right:Q.rightJustifiedTextSymbolIndex}[a.at(B)];let qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex,Q.verticalPlacedTextSymbolIndex];for(let je of qe)je>=0&&(w.text.placedSymbolArray.get(je).crossTileID=se>=0&&je!==se?0:Q.crossTileID)}markUsedOrientation(w,B,Q){let ee=B===a.ah.horizontal||B===a.ah.horizontalOnly?B:0,se=B===a.ah.vertical?B:0,qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex];for(let je of qe)w.text.placedSymbolArray.get(je).placedOrientation=ee;Q.verticalPlacedTextSymbolIndex&&(w.text.placedSymbolArray.get(Q.verticalPlacedTextSymbolIndex).placedOrientation=se)}commit(w){this.commitTime=w,this.zoomAtLastRecencyCheck=this.transform.zoom;let B=this.prevPlacement,Q=!1;this.prevZoomAdjustment=B?B.zoomAdjustment(this.transform.zoom):0;let ee=B?B.symbolFadeChange(w):1,se=B?B.opacities:{},qe=B?B.variableOffsets:{},je=B?B.placedOrientations:{};for(let it in this.placements){let yt=this.placements[it],Ot=se[it];Ot?(this.opacities[it]=new Ni(Ot,ee,yt.text,yt.icon),Q=Q||yt.text!==Ot.text.placed||yt.icon!==Ot.icon.placed):(this.opacities[it]=new Ni(null,ee,yt.text,yt.icon,yt.skipFade),Q=Q||yt.text||yt.icon)}for(let it in se){let yt=se[it];if(!this.opacities[it]){let Ot=new Ni(yt,ee,!1,!1);Ot.isHidden()||(this.opacities[it]=Ot,Q=Q||yt.text.placed||yt.icon.placed)}}for(let it in qe)this.variableOffsets[it]||!this.opacities[it]||this.opacities[it].isHidden()||(this.variableOffsets[it]=qe[it]);for(let it in je)this.placedOrientations[it]||!this.opacities[it]||this.opacities[it].isHidden()||(this.placedOrientations[it]=je[it]);if(B&&B.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");Q?this.lastPlacementChangeTime=w:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=B?B.lastPlacementChangeTime:w)}updateLayerOpacities(w,B){let Q={};for(let ee of B){let se=ee.getBucket(w);se&&ee.latestFeatureIndex&&w.id===se.layerIds[0]&&this.updateBucketOpacities(se,ee.tileID,Q,ee.collisionBoxArray)}}updateBucketOpacities(w,B,Q,ee){w.hasTextData()&&(w.text.opacityVertexArray.clear(),w.text.hasVisibleVertices=!1),w.hasIconData()&&(w.icon.opacityVertexArray.clear(),w.icon.hasVisibleVertices=!1),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexArray.clear(),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexArray.clear();let se=w.layers[0],qe=se.layout,je=new Ni(null,0,!1,!1,!0),it=qe.get(\"text-allow-overlap\"),yt=qe.get(\"icon-allow-overlap\"),Ot=se._unevaluatedLayout.hasValue(\"text-variable-anchor\")||se._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Nt=qe.get(\"text-rotation-alignment\")===\"map\",hr=qe.get(\"text-pitch-alignment\")===\"map\",Sr=qe.get(\"icon-text-fit\")!==\"none\",he=new Ni(null,0,it&&(yt||!w.hasIconData()||qe.get(\"icon-optional\")),yt&&(it||!w.hasTextData()||qe.get(\"text-optional\")),!0);!w.collisionArrays&&ee&&(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData())&&w.deserializeCollisionBoxes(ee);let be=(Oe,Je,He)=>{for(let et=0;et<Je/4;et++)Oe.opacityVertexArray.emplaceBack(He);Oe.hasVisibleVertices=Oe.hasVisibleVertices||He!==Pi},Pe=this.collisionBoxArrays.get(w.bucketInstanceId);for(let Oe=0;Oe<w.symbolInstances.length;Oe++){let Je=w.symbolInstances.get(Oe),{numHorizontalGlyphVertices:He,numVerticalGlyphVertices:et,crossTileID:Mt}=Je,Dt=this.opacities[Mt];Q[Mt]?Dt=je:Dt||(Dt=he,this.opacities[Mt]=Dt),Q[Mt]=!0;let Ut=Je.numIconVertices>0,tr=this.placedOrientations[Je.crossTileID],mr=tr===a.ah.vertical,Rr=tr===a.ah.horizontal||tr===a.ah.horizontalOnly;if(He>0||et>0){let Xr=Mi(Dt.text);be(w.text,He,mr?Pi:Xr),be(w.text,et,Rr?Pi:Xr);let di=Dt.text.isHidden();[Je.rightJustifiedTextSymbolIndex,Je.centerJustifiedTextSymbolIndex,Je.leftJustifiedTextSymbolIndex].forEach(Qi=>{Qi>=0&&(w.text.placedSymbolArray.get(Qi).hidden=di||mr?1:0)}),Je.verticalPlacedTextSymbolIndex>=0&&(w.text.placedSymbolArray.get(Je.verticalPlacedTextSymbolIndex).hidden=di||Rr?1:0);let Li=this.variableOffsets[Je.crossTileID];Li&&this.markUsedJustification(w,Li.anchor,Je,tr);let Ci=this.placedOrientations[Je.crossTileID];Ci&&(this.markUsedJustification(w,\"left\",Je,Ci),this.markUsedOrientation(w,Ci,Je))}if(Ut){let Xr=Mi(Dt.icon),di=!(Sr&&Je.verticalPlacedIconSymbolIndex&&mr);Je.placedIconSymbolIndex>=0&&(be(w.icon,Je.numIconVertices,di?Xr:Pi),w.icon.placedSymbolArray.get(Je.placedIconSymbolIndex).hidden=Dt.icon.isHidden()),Je.verticalPlacedIconSymbolIndex>=0&&(be(w.icon,Je.numVerticalIconVertices,di?Pi:Xr),w.icon.placedSymbolArray.get(Je.verticalPlacedIconSymbolIndex).hidden=Dt.icon.isHidden())}let zr=Pe&&Pe.has(Oe)?Pe.get(Oe):{text:null,icon:null};if(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData()){let Xr=w.collisionArrays[Oe];if(Xr){let di=new a.P(0,0);if(Xr.textBox||Xr.verticalTextBox){let Li=!0;if(Ot){let Ci=this.variableOffsets[Mt];Ci?(di=It(Ci.anchor,Ci.width,Ci.height,Ci.textOffset,Ci.textBoxScale),Nt&&di._rotate(hr?this.transform.angle:-this.transform.angle)):Li=!1}if(Xr.textBox||Xr.verticalTextBox){let Ci;Xr.textBox&&(Ci=mr),Xr.verticalTextBox&&(Ci=Rr),jt(w.textCollisionBox.collisionVertexArray,Dt.text.placed,!Li||Ci,zr.text,di.x,di.y)}}if(Xr.iconBox||Xr.verticalIconBox){let Li=!!(!Rr&&Xr.verticalIconBox),Ci;Xr.iconBox&&(Ci=Li),Xr.verticalIconBox&&(Ci=!Li),jt(w.iconCollisionBox.collisionVertexArray,Dt.icon.placed,Ci,zr.icon,Sr?di.x:0,Sr?di.y:0)}}}}if(w.sortFeatures(this.transform.angle),this.retainedQueryData[w.bucketInstanceId]&&(this.retainedQueryData[w.bucketInstanceId].featureSortOrder=w.featureSortOrder),w.hasTextData()&&w.text.opacityVertexBuffer&&w.text.opacityVertexBuffer.updateData(w.text.opacityVertexArray),w.hasIconData()&&w.icon.opacityVertexBuffer&&w.icon.opacityVertexBuffer.updateData(w.icon.opacityVertexArray),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexBuffer&&w.iconCollisionBox.collisionVertexBuffer.updateData(w.iconCollisionBox.collisionVertexArray),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexBuffer&&w.textCollisionBox.collisionVertexBuffer.updateData(w.textCollisionBox.collisionVertexArray),w.text.opacityVertexArray.length!==w.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${w.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${w.text.layoutVertexArray.length}) / 4`);if(w.icon.opacityVertexArray.length!==w.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${w.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${w.icon.layoutVertexArray.length}) / 4`);if(w.bucketInstanceId in this.collisionCircleArrays){let Oe=this.collisionCircleArrays[w.bucketInstanceId];w.placementInvProjMatrix=Oe.invProjMatrix,w.placementViewportMatrix=Oe.viewportMatrix,w.collisionCircleArray=Oe.circles,delete this.collisionCircleArrays[w.bucketInstanceId]}}symbolFadeChange(w){return this.fadeDuration===0?1:(w-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(w){return Math.max(0,(this.transform.zoom-w)/1.5)}hasTransitions(w){return this.stale||w-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(w,B){let Q=this.zoomAtLastRecencyCheck===B?1-this.zoomAdjustment(B):1;return this.zoomAtLastRecencyCheck=B,this.commitTime+this.fadeDuration*Q>w}setStale(){this.stale=!0}}function jt(le,w,B,Q,ee,se){Q&&Q.length!==0||(Q=[0,0,0,0]);let qe=Q[0]-ri,je=Q[1]-ri,it=Q[2]-ri,yt=Q[3]-ri;le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,qe,je),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,it,je),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,it,yt),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,qe,yt)}let Zt=Math.pow(2,25),yr=Math.pow(2,24),Fr=Math.pow(2,17),Zr=Math.pow(2,16),Vr=Math.pow(2,9),gi=Math.pow(2,8),Si=Math.pow(2,1);function Mi(le){if(le.opacity===0&&!le.placed)return 0;if(le.opacity===1&&le.placed)return 4294967295;let w=le.placed?1:0,B=Math.floor(127*le.opacity);return B*Zt+w*yr+B*Fr+w*Zr+B*Vr+w*gi+B*Si+w}let Pi=0;function Gi(){return{isOccluded:(le,w,B)=>!1,getPitchedTextCorrection:(le,w,B)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(le,w,B,Q){throw new Error(\"Not implemented.\")},translatePosition:(le,w,B,Q)=>function(ee,se,qe,je,it=!1){if(!qe[0]&&!qe[1])return[0,0];let yt=it?je===\"map\"?ee.angle:0:je===\"viewport\"?-ee.angle:0;if(yt){let Ot=Math.sin(yt),Nt=Math.cos(yt);qe=[qe[0]*Nt-qe[1]*Ot,qe[0]*Ot+qe[1]*Nt]}return[it?qe[0]:nn(se,qe[0],ee.zoom),it?qe[1]:nn(se,qe[1],ee.zoom)]}(le,w,B,Q),getCircleRadiusCorrection:le=>1}}class Ki{constructor(w){this._sortAcrossTiles=w.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!w.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(w,B,Q,ee,se){let qe=this._bucketParts;for(;this._currentTileIndex<w.length;)if(B.getBucketParts(qe,ee,w[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,se())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,qe.sort((je,it)=>je.sortKey-it.sortKey));this._currentPartIndex<qe.length;)if(B.placeLayerBucketPart(qe[this._currentPartIndex],this._seenCrossTileIDs,Q),this._currentPartIndex++,se())return!0;return!1}}class ka{constructor(w,B,Q,ee,se,qe,je,it){this.placement=new ft(w,Gi(),B,qe,je,it),this._currentPlacementIndex=Q.length-1,this._forceFullPlacement=ee,this._showCollisionBoxes=se,this._done=!1}isDone(){return this._done}continuePlacement(w,B,Q){let ee=u.now(),se=()=>!this._forceFullPlacement&&u.now()-ee>2;for(;this._currentPlacementIndex>=0;){let qe=B[w[this._currentPlacementIndex]],je=this.placement.collisionIndex.transform.zoom;if(qe.type===\"symbol\"&&(!qe.minzoom||qe.minzoom<=je)&&(!qe.maxzoom||qe.maxzoom>je)){if(this._inProgressLayer||(this._inProgressLayer=new Ki(qe)),this._inProgressLayer.continuePlacement(Q[qe.source],this.placement,this._showCollisionBoxes,qe,se))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(w){return this.placement.commit(w),this.placement}}let jn=512/a.X/2;class la{constructor(w,B,Q){this.tileID=w,this.bucketInstanceId=Q,this._symbolsByKey={};let ee=new Map;for(let se=0;se<B.length;se++){let qe=B.get(se),je=qe.key,it=ee.get(je);it?it.push(qe):ee.set(je,[qe])}for(let[se,qe]of ee){let je={positions:qe.map(it=>({x:Math.floor(it.anchorX*jn),y:Math.floor(it.anchorY*jn)})),crossTileIDs:qe.map(it=>it.crossTileID)};if(je.positions.length>128){let it=new a.av(je.positions.length,16,Uint16Array);for(let{x:yt,y:Ot}of je.positions)it.add(yt,Ot);it.finish(),delete je.positions,je.index=it}this._symbolsByKey[se]=je}}getScaledCoordinates(w,B){let{x:Q,y:ee,z:se}=this.tileID.canonical,{x:qe,y:je,z:it}=B.canonical,yt=jn/Math.pow(2,it-se),Ot=(je*a.X+w.anchorY)*yt,Nt=ee*a.X*jn;return{x:Math.floor((qe*a.X+w.anchorX)*yt-Q*a.X*jn),y:Math.floor(Ot-Nt)}}findMatches(w,B,Q){let ee=this.tileID.canonical.z<B.canonical.z?1:Math.pow(2,this.tileID.canonical.z-B.canonical.z);for(let se=0;se<w.length;se++){let qe=w.get(se);if(qe.crossTileID)continue;let je=this._symbolsByKey[qe.key];if(!je)continue;let it=this.getScaledCoordinates(qe,B);if(je.index){let yt=je.index.range(it.x-ee,it.y-ee,it.x+ee,it.y+ee).sort();for(let Ot of yt){let Nt=je.crossTileIDs[Ot];if(!Q[Nt]){Q[Nt]=!0,qe.crossTileID=Nt;break}}}else if(je.positions)for(let yt=0;yt<je.positions.length;yt++){let Ot=je.positions[yt],Nt=je.crossTileIDs[yt];if(Math.abs(Ot.x-it.x)<=ee&&Math.abs(Ot.y-it.y)<=ee&&!Q[Nt]){Q[Nt]=!0,qe.crossTileID=Nt;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map(({crossTileIDs:w})=>w)}}class Fa{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class Ra{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(w){let B=Math.round((w-this.lng)/360);if(B!==0)for(let Q in this.indexes){let ee=this.indexes[Q],se={};for(let qe in ee){let je=ee[qe];je.tileID=je.tileID.unwrapTo(je.tileID.wrap+B),se[je.tileID.key]=je}this.indexes[Q]=se}this.lng=w}addBucket(w,B,Q){if(this.indexes[w.overscaledZ]&&this.indexes[w.overscaledZ][w.key]){if(this.indexes[w.overscaledZ][w.key].bucketInstanceId===B.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(w.overscaledZ,this.indexes[w.overscaledZ][w.key])}for(let se=0;se<B.symbolInstances.length;se++)B.symbolInstances.get(se).crossTileID=0;this.usedCrossTileIDs[w.overscaledZ]||(this.usedCrossTileIDs[w.overscaledZ]={});let ee=this.usedCrossTileIDs[w.overscaledZ];for(let se in this.indexes){let qe=this.indexes[se];if(Number(se)>w.overscaledZ)for(let je in qe){let it=qe[je];it.tileID.isChildOf(w)&&it.findMatches(B.symbolInstances,w,ee)}else{let je=qe[w.scaledTo(Number(se)).key];je&&je.findMatches(B.symbolInstances,w,ee)}}for(let se=0;se<B.symbolInstances.length;se++){let qe=B.symbolInstances.get(se);qe.crossTileID||(qe.crossTileID=Q.generate(),ee[qe.crossTileID]=!0)}return this.indexes[w.overscaledZ]===void 0&&(this.indexes[w.overscaledZ]={}),this.indexes[w.overscaledZ][w.key]=new la(w,B.symbolInstances,B.bucketInstanceId),!0}removeBucketCrossTileIDs(w,B){for(let Q of B.getCrossTileIDsLists())for(let ee of Q)delete this.usedCrossTileIDs[w][ee]}removeStaleBuckets(w){let B=!1;for(let Q in this.indexes){let ee=this.indexes[Q];for(let se in ee)w[ee[se].bucketInstanceId]||(this.removeBucketCrossTileIDs(Q,ee[se]),delete ee[se],B=!0)}return B}}class jo{constructor(){this.layerIndexes={},this.crossTileIDs=new Fa,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(w,B,Q){let ee=this.layerIndexes[w.id];ee===void 0&&(ee=this.layerIndexes[w.id]=new Ra);let se=!1,qe={};ee.handleWrapJump(Q);for(let je of B){let it=je.getBucket(w);it&&w.id===it.layerIds[0]&&(it.bucketInstanceId||(it.bucketInstanceId=++this.maxBucketInstanceId),ee.addBucket(je.tileID,it,this.crossTileIDs)&&(se=!0),qe[it.bucketInstanceId]=!0)}return ee.removeStaleBuckets(qe)&&(se=!0),se}pruneUnusedLayers(w){let B={};w.forEach(Q=>{B[Q]=!0});for(let Q in this.layerIndexes)B[Q]||delete this.layerIndexes[Q]}}let oa=(le,w)=>a.t(le,w&&w.filter(B=>B.identifier!==\"source.canvas\")),Sn=a.aw();class Ha extends a.E{constructor(w,B={}){super(),this._rtlPluginLoaded=()=>{for(let Q in this.sourceCaches){let ee=this.sourceCaches[Q].getSource().type;ee!==\"vector\"&&ee!==\"geojson\"||this.sourceCaches[Q].reload()}},this.map=w,this.dispatcher=new Ee(Te(),w._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",(Q,ee)=>this.getGlyphs(Q,ee)),this.dispatcher.registerMessageHandler(\"GI\",(Q,ee)=>this.getImages(Q,ee)),this.imageManager=new T,this.imageManager.setEventedParent(this),this.glyphManager=new H(w._requestManager,B.localIdeographFontFamily),this.lineAtlas=new ae(256,512),this.crossTileSymbolIndex=new jo,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new a.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",a.ay()),bt().on(er,this._rtlPluginLoaded),this.on(\"data\",Q=>{if(Q.dataType!==\"source\"||Q.sourceDataType!==\"metadata\")return;let ee=this.sourceCaches[Q.sourceId];if(!ee)return;let se=ee.getSource();if(se&&se.vectorLayerIds)for(let qe in this._layers){let je=this._layers[qe];je.source===se.id&&this._validateLayer(je)}})}loadURL(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),B.validate=typeof B.validate!=\"boolean\"||B.validate;let ee=this.map._requestManager.transformRequest(w,\"Style\");this._loadStyleRequest=new AbortController;let se=this._loadStyleRequest;a.h(ee,this._loadStyleRequest).then(qe=>{this._loadStyleRequest=null,this._load(qe.data,B,Q)}).catch(qe=>{this._loadStyleRequest=null,qe&&!se.signal.aborted&&this.fire(new a.j(qe))})}loadJSON(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(()=>{this._frameRequest=null,B.validate=B.validate!==!1,this._load(w,B,Q)}).catch(()=>{})}loadEmpty(){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._load(Sn,{validate:!1})}_load(w,B,Q){var ee;let se=B.transformStyle?B.transformStyle(Q,w):w;if(!B.validate||!oa(this,a.u(se))){this._loaded=!0,this.stylesheet=se;for(let qe in se.sources)this.addSource(qe,se.sources[qe],{validate:!1});se.sprite?this._loadSprite(se.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(se.glyphs),this._createLayers(),this.light=new N(this.stylesheet.light),this.sky=new re(this.stylesheet.sky),this.map.setTerrain((ee=this.stylesheet.terrain)!==null&&ee!==void 0?ee:null),this.fire(new a.k(\"data\",{dataType:\"style\"})),this.fire(new a.k(\"style.load\"))}}_createLayers(){let w=a.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",w),this._order=w.map(B=>B.id),this._layers={},this._serializedLayers=null;for(let B of w){let Q=a.aA(B);Q.setEventedParent(this,{layer:{id:B.id}}),this._layers[B.id]=Q}}_loadSprite(w,B=!1,Q=void 0){let ee;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,function(se,qe,je,it){return a._(this,void 0,void 0,function*(){let yt=C(se),Ot=je>1?\"@2x\":\"\",Nt={},hr={};for(let{id:Sr,url:he}of yt){let be=qe.transformRequest(M(he,Ot,\".json\"),\"SpriteJSON\");Nt[Sr]=a.h(be,it);let Pe=qe.transformRequest(M(he,Ot,\".png\"),\"SpriteImage\");hr[Sr]=g.getImage(Pe,it)}return yield Promise.all([...Object.values(Nt),...Object.values(hr)]),function(Sr,he){return a._(this,void 0,void 0,function*(){let be={};for(let Pe in Sr){be[Pe]={};let Oe=u.getImageCanvasContext((yield he[Pe]).data),Je=(yield Sr[Pe]).data;for(let He in Je){let{width:et,height:Mt,x:Dt,y:Ut,sdf:tr,pixelRatio:mr,stretchX:Rr,stretchY:zr,content:Xr,textFitWidth:di,textFitHeight:Li}=Je[He];be[Pe][He]={data:null,pixelRatio:mr,sdf:tr,stretchX:Rr,stretchY:zr,content:Xr,textFitWidth:di,textFitHeight:Li,spriteData:{width:et,height:Mt,x:Dt,y:Ut,context:Oe}}}}return be})}(Nt,hr)})}(w,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then(se=>{if(this._spriteRequest=null,se)for(let qe in se){this._spritesImagesIds[qe]=[];let je=this._spritesImagesIds[qe]?this._spritesImagesIds[qe].filter(it=>!(it in se)):[];for(let it of je)this.imageManager.removeImage(it),this._changedImages[it]=!0;for(let it in se[qe]){let yt=qe===\"default\"?it:`${qe}:${it}`;this._spritesImagesIds[qe].push(yt),yt in this.imageManager.images?this.imageManager.updateImage(yt,se[qe][it],!1):this.imageManager.addImage(yt,se[qe][it]),B&&(this._changedImages[yt]=!0)}}}).catch(se=>{this._spriteRequest=null,ee=se,this.fire(new a.j(ee))}).finally(()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),B&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"})),Q&&Q(ee)})}_unloadSprite(){for(let w of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(w),this._changedImages[w]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}_validateLayer(w){let B=this.sourceCaches[w.source];if(!B)return;let Q=w.sourceLayer;if(!Q)return;let ee=B.getSource();(ee.type===\"geojson\"||ee.vectorLayerIds&&ee.vectorLayerIds.indexOf(Q)===-1)&&this.fire(new a.j(new Error(`Source layer \"${Q}\" does not exist on source \"${ee.id}\" as specified by style layer \"${w.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let w in this.sourceCaches)if(!this.sourceCaches[w].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(w,B=!1){let Q=this._serializedAllLayers();if(!w||w.length===0)return Object.values(B?a.aB(Q):Q);let ee=[];for(let se of w)if(Q[se]){let qe=B?a.aB(Q[se]):Q[se];ee.push(qe)}return ee}_serializedAllLayers(){let w=this._serializedLayers;if(w)return w;w=this._serializedLayers={};let B=Object.keys(this._layers);for(let Q of B){let ee=this._layers[Q];ee.type!==\"custom\"&&(w[Q]=ee.serialize())}return w}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let w in this.sourceCaches)if(this.sourceCaches[w].hasTransition())return!0;for(let w in this._layers)if(this._layers[w].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(w){if(!this._loaded)return;let B=this._changed;if(B){let ee=Object.keys(this._updatedLayers),se=Object.keys(this._removedLayers);(ee.length||se.length)&&this._updateWorkerLayers(ee,se);for(let qe in this._updatedSources){let je=this._updatedSources[qe];if(je===\"reload\")this._reloadSource(qe);else{if(je!==\"clear\")throw new Error(`Invalid action ${je}`);this._clearSource(qe)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let qe in this._updatedPaintProps)this._layers[qe].updateTransitions(w);this.light.updateTransitions(w),this.sky.updateTransitions(w),this._resetUpdates()}let Q={};for(let ee in this.sourceCaches){let se=this.sourceCaches[ee];Q[ee]=se.used,se.used=!1}for(let ee of this._order){let se=this._layers[ee];se.recalculate(w,this._availableImages),!se.isHidden(w.zoom)&&se.source&&(this.sourceCaches[se.source].used=!0)}for(let ee in Q){let se=this.sourceCaches[ee];!!Q[ee]!=!!se.used&&se.fire(new a.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:ee}))}this.light.recalculate(w),this.sky.recalculate(w),this.z=w.zoom,B&&this.fire(new a.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let w=Object.keys(this._changedImages);if(w.length){for(let B in this.sourceCaches)this.sourceCaches[B].reloadTilesForDependencies([\"icons\",\"patterns\"],w);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let w in this.sourceCaches)this.sourceCaches[w].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(w,B){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(w,!1),removedIds:B})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(w,B={}){var Q;this._checkLoaded();let ee=this.serialize();if(w=B.transformStyle?B.transformStyle(ee,w):w,((Q=B.validate)===null||Q===void 0||Q)&&oa(this,a.u(w)))return!1;(w=a.aB(w)).layers=a.az(w.layers);let se=a.aC(ee,w),qe=this._getOperationsToPerform(se);if(qe.unimplemented.length>0)throw new Error(`Unimplemented: ${qe.unimplemented.join(\", \")}.`);if(qe.operations.length===0)return!1;for(let je of qe.operations)je();return this.stylesheet=w,this._serializedLayers=null,!0}_getOperationsToPerform(w){let B=[],Q=[];for(let ee of w)switch(ee.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":B.push(()=>this.addLayer.apply(this,ee.args));break;case\"removeLayer\":B.push(()=>this.removeLayer.apply(this,ee.args));break;case\"setPaintProperty\":B.push(()=>this.setPaintProperty.apply(this,ee.args));break;case\"setLayoutProperty\":B.push(()=>this.setLayoutProperty.apply(this,ee.args));break;case\"setFilter\":B.push(()=>this.setFilter.apply(this,ee.args));break;case\"addSource\":B.push(()=>this.addSource.apply(this,ee.args));break;case\"removeSource\":B.push(()=>this.removeSource.apply(this,ee.args));break;case\"setLayerZoomRange\":B.push(()=>this.setLayerZoomRange.apply(this,ee.args));break;case\"setLight\":B.push(()=>this.setLight.apply(this,ee.args));break;case\"setGeoJSONSourceData\":B.push(()=>this.setGeoJSONSourceData.apply(this,ee.args));break;case\"setGlyphs\":B.push(()=>this.setGlyphs.apply(this,ee.args));break;case\"setSprite\":B.push(()=>this.setSprite.apply(this,ee.args));break;case\"setSky\":B.push(()=>this.setSky.apply(this,ee.args));break;case\"setTerrain\":B.push(()=>this.map.setTerrain.apply(this,ee.args));break;case\"setTransition\":B.push(()=>{});break;default:Q.push(ee.command)}return{operations:B,unimplemented:Q}}addImage(w,B){if(this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" already exists.`)));this.imageManager.addImage(w,B),this._afterImageUpdated(w)}updateImage(w,B){this.imageManager.updateImage(w,B)}getImage(w){return this.imageManager.getImage(w)}removeImage(w){if(!this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" does not exist.`)));this.imageManager.removeImage(w),this._afterImageUpdated(w)}_afterImageUpdated(w){this._availableImages=this.imageManager.listImages(),this._changedImages[w]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(w,B,Q={}){if(this._checkLoaded(),this.sourceCaches[w]!==void 0)throw new Error(`Source \"${w}\" already exists.`);if(!B.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(B).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(B.type)>=0&&this._validate(a.u.source,`sources.${w}`,B,null,Q))return;this.map&&this.map._collectResourceTiming&&(B.collectResourceTiming=!0);let ee=this.sourceCaches[w]=new dt(w,B,this.dispatcher);ee.style=this,ee.setEventedParent(this,()=>({isSourceLoaded:ee.loaded(),source:ee.serialize(),sourceId:w})),ee.onAdd(this.map),this._changed=!0}removeSource(w){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(\"There is no source with this ID\");for(let Q in this._layers)if(this._layers[Q].source===w)return this.fire(new a.j(new Error(`Source \"${w}\" cannot be removed while layer \"${Q}\" is using it.`)));let B=this.sourceCaches[w];delete this.sourceCaches[w],delete this._updatedSources[w],B.fire(new a.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:w})),B.setEventedParent(null),B.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(w,B){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(`There is no source with this ID=${w}`);let Q=this.sourceCaches[w].getSource();if(Q.type!==\"geojson\")throw new Error(`geojsonSource.type is ${Q.type}, which is !== 'geojson`);Q.setData(B),this._changed=!0}getSource(w){return this.sourceCaches[w]&&this.sourceCaches[w].getSource()}addLayer(w,B,Q={}){this._checkLoaded();let ee=w.id;if(this.getLayer(ee))return void this.fire(new a.j(new Error(`Layer \"${ee}\" already exists on this map.`)));let se;if(w.type===\"custom\"){if(oa(this,a.aD(w)))return;se=a.aA(w)}else{if(\"source\"in w&&typeof w.source==\"object\"&&(this.addSource(ee,w.source),w=a.aB(w),w=a.e(w,{source:ee})),this._validate(a.u.layer,`layers.${ee}`,w,{arrayIndex:-1},Q))return;se=a.aA(w),this._validateLayer(se),se.setEventedParent(this,{layer:{id:ee}})}let qe=B?this._order.indexOf(B):this._order.length;if(B&&qe===-1)this.fire(new a.j(new Error(`Cannot add layer \"${ee}\" before non-existing layer \"${B}\".`)));else{if(this._order.splice(qe,0,ee),this._layerOrderChanged=!0,this._layers[ee]=se,this._removedLayers[ee]&&se.source&&se.type!==\"custom\"){let je=this._removedLayers[ee];delete this._removedLayers[ee],je.type!==se.type?this._updatedSources[se.source]=\"clear\":(this._updatedSources[se.source]=\"reload\",this.sourceCaches[se.source].pause())}this._updateLayer(se),se.onAdd&&se.onAdd(this.map)}}moveLayer(w,B){if(this._checkLoaded(),this._changed=!0,!this._layers[w])return void this.fire(new a.j(new Error(`The layer '${w}' does not exist in the map's style and cannot be moved.`)));if(w===B)return;let Q=this._order.indexOf(w);this._order.splice(Q,1);let ee=B?this._order.indexOf(B):this._order.length;B&&ee===-1?this.fire(new a.j(new Error(`Cannot move layer \"${w}\" before non-existing layer \"${B}\".`))):(this._order.splice(ee,0,w),this._layerOrderChanged=!0)}removeLayer(w){this._checkLoaded();let B=this._layers[w];if(!B)return void this.fire(new a.j(new Error(`Cannot remove non-existing layer \"${w}\".`)));B.setEventedParent(null);let Q=this._order.indexOf(w);this._order.splice(Q,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[w]=B,delete this._layers[w],this._serializedLayers&&delete this._serializedLayers[w],delete this._updatedLayers[w],delete this._updatedPaintProps[w],B.onRemove&&B.onRemove(this.map)}getLayer(w){return this._layers[w]}getLayersOrder(){return[...this._order]}hasLayer(w){return w in this._layers}setLayerZoomRange(w,B,Q){this._checkLoaded();let ee=this.getLayer(w);ee?ee.minzoom===B&&ee.maxzoom===Q||(B!=null&&(ee.minzoom=B),Q!=null&&(ee.maxzoom=Q),this._updateLayer(ee)):this.fire(new a.j(new Error(`Cannot set the zoom range of non-existing layer \"${w}\".`)))}setFilter(w,B,Q={}){this._checkLoaded();let ee=this.getLayer(w);if(ee){if(!a.aE(ee.filter,B))return B==null?(ee.filter=void 0,void this._updateLayer(ee)):void(this._validate(a.u.filter,`layers.${ee.id}.filter`,B,null,Q)||(ee.filter=a.aB(B),this._updateLayer(ee)))}else this.fire(new a.j(new Error(`Cannot filter non-existing layer \"${w}\".`)))}getFilter(w){return a.aB(this.getLayer(w).filter)}setLayoutProperty(w,B,Q,ee={}){this._checkLoaded();let se=this.getLayer(w);se?a.aE(se.getLayoutProperty(B),Q)||(se.setLayoutProperty(B,Q,ee),this._updateLayer(se)):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getLayoutProperty(w,B){let Q=this.getLayer(w);if(Q)return Q.getLayoutProperty(B);this.fire(new a.j(new Error(`Cannot get style of non-existing layer \"${w}\".`)))}setPaintProperty(w,B,Q,ee={}){this._checkLoaded();let se=this.getLayer(w);se?a.aE(se.getPaintProperty(B),Q)||(se.setPaintProperty(B,Q,ee)&&this._updateLayer(se),this._changed=!0,this._updatedPaintProps[w]=!0,this._serializedLayers=null):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getPaintProperty(w,B){return this.getLayer(w).getPaintProperty(B)}setFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=w.sourceLayer,se=this.sourceCaches[Q];if(se===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let qe=se.getSource().type;qe===\"geojson\"&&ee?this.fire(new a.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):qe!==\"vector\"||ee?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),se.setFeatureState(ee,w.id,B)):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=this.sourceCaches[Q];if(ee===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let se=ee.getSource().type,qe=se===\"vector\"?w.sourceLayer:void 0;se!==\"vector\"||qe?B&&typeof w.id!=\"string\"&&typeof w.id!=\"number\"?this.fire(new a.j(new Error(\"A feature id is required to remove its specific state property.\"))):ee.removeFeatureState(qe,w.id,B):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(w){this._checkLoaded();let B=w.source,Q=w.sourceLayer,ee=this.sourceCaches[B];if(ee!==void 0)return ee.getSource().type!==\"vector\"||Q?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),ee.getFeatureState(Q,w.id)):void this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new a.j(new Error(`The source '${B}' does not exist in the map's style.`)))}getTransition(){return a.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let w=a.aF(this.sourceCaches,se=>se.serialize()),B=this._serializeByIds(this._order,!0),Q=this.map.getTerrain()||void 0,ee=this.stylesheet;return a.aG({version:ee.version,name:ee.name,metadata:ee.metadata,light:ee.light,sky:ee.sky,center:ee.center,zoom:ee.zoom,bearing:ee.bearing,pitch:ee.pitch,sprite:ee.sprite,glyphs:ee.glyphs,transition:ee.transition,sources:w,layers:B,terrain:Q},se=>se!==void 0)}_updateLayer(w){this._updatedLayers[w.id]=!0,w.source&&!this._updatedSources[w.source]&&this.sourceCaches[w.source].getSource().type!==\"raster\"&&(this._updatedSources[w.source]=\"reload\",this.sourceCaches[w.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(w){let B=qe=>this._layers[qe].type===\"fill-extrusion\",Q={},ee=[];for(let qe=this._order.length-1;qe>=0;qe--){let je=this._order[qe];if(B(je)){Q[je]=qe;for(let it of w){let yt=it[je];if(yt)for(let Ot of yt)ee.push(Ot)}}}ee.sort((qe,je)=>je.intersectionZ-qe.intersectionZ);let se=[];for(let qe=this._order.length-1;qe>=0;qe--){let je=this._order[qe];if(B(je))for(let it=ee.length-1;it>=0;it--){let yt=ee[it].feature;if(Q[yt.layer.id]<qe)break;se.push(yt),ee.pop()}else for(let it of w){let yt=it[je];if(yt)for(let Ot of yt)se.push(Ot.feature)}}return se}queryRenderedFeatures(w,B,Q){B&&B.filter&&this._validate(a.u.filter,\"queryRenderedFeatures.filter\",B.filter,null,B);let ee={};if(B&&B.layers){if(!Array.isArray(B.layers))return this.fire(new a.j(new Error(\"parameters.layers must be an Array.\"))),[];for(let je of B.layers){let it=this._layers[je];if(!it)return this.fire(new a.j(new Error(`The layer '${je}' does not exist in the map's style and cannot be queried for features.`))),[];ee[it.source]=!0}}let se=[];B.availableImages=this._availableImages;let qe=this._serializedAllLayers();for(let je in this.sourceCaches)B.layers&&!ee[je]||se.push(Ce(this.sourceCaches[je],this._layers,qe,w,B,Q));return this.placement&&se.push(function(je,it,yt,Ot,Nt,hr,Sr){let he={},be=hr.queryRenderedSymbols(Ot),Pe=[];for(let Oe of Object.keys(be).map(Number))Pe.push(Sr[Oe]);Pe.sort(me);for(let Oe of Pe){let Je=Oe.featureIndex.lookupSymbolFeatures(be[Oe.bucketInstanceId],it,Oe.bucketIndex,Oe.sourceLayerIndex,Nt.filter,Nt.layers,Nt.availableImages,je);for(let He in Je){let et=he[He]=he[He]||[],Mt=Je[He];Mt.sort((Dt,Ut)=>{let tr=Oe.featureSortOrder;if(tr){let mr=tr.indexOf(Dt.featureIndex);return tr.indexOf(Ut.featureIndex)-mr}return Ut.featureIndex-Dt.featureIndex});for(let Dt of Mt)et.push(Dt)}}for(let Oe in he)he[Oe].forEach(Je=>{let He=Je.feature,et=yt[je[Oe].source].getFeatureState(He.layer[\"source-layer\"],He.id);He.source=He.layer.source,He.layer[\"source-layer\"]&&(He.sourceLayer=He.layer[\"source-layer\"]),He.state=et});return he}(this._layers,qe,this.sourceCaches,w,B,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(se)}querySourceFeatures(w,B){B&&B.filter&&this._validate(a.u.filter,\"querySourceFeatures.filter\",B.filter,null,B);let Q=this.sourceCaches[w];return Q?function(ee,se){let qe=ee.getRenderableIds().map(yt=>ee.getTileByID(yt)),je=[],it={};for(let yt=0;yt<qe.length;yt++){let Ot=qe[yt],Nt=Ot.tileID.canonical.key;it[Nt]||(it[Nt]=!0,Ot.querySourceFeatures(je,se))}return je}(Q,B):[]}getLight(){return this.light.getLight()}setLight(w,B={}){this._checkLoaded();let Q=this.light.getLight(),ee=!1;for(let qe in w)if(!a.aE(w[qe],Q[qe])){ee=!0;break}if(!ee)return;let se={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(w,B),this.light.updateTransitions(se)}getSky(){var w;return(w=this.stylesheet)===null||w===void 0?void 0:w.sky}setSky(w,B={}){let Q=this.getSky(),ee=!1;if(!w&&!Q)return;if(w&&!Q)ee=!0;else if(!w&&Q)ee=!0;else for(let qe in w)if(!a.aE(w[qe],Q[qe])){ee=!0;break}if(!ee)return;let se={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=w,this.sky.setSky(w,B),this.sky.updateTransitions(se)}_validate(w,B,Q,ee,se={}){return(!se||se.validate!==!1)&&oa(this,w.call(a.u,a.e({key:B,style:this.serialize(),value:Q,styleSpec:a.v},ee)))}_remove(w=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),bt().off(er,this._rtlPluginLoaded);for(let B in this._layers)this._layers[B].setEventedParent(null);for(let B in this.sourceCaches){let Q=this.sourceCaches[B];Q.setEventedParent(null),Q.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),w&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(w)}_clearSource(w){this.sourceCaches[w].clearTiles()}_reloadSource(w){this.sourceCaches[w].resume(),this.sourceCaches[w].reload()}_updateSources(w){for(let B in this.sourceCaches)this.sourceCaches[B].update(w,this.map.terrain)}_generateCollisionBoxes(){for(let w in this.sourceCaches)this._reloadSource(w)}_updatePlacement(w,B,Q,ee,se=!1){let qe=!1,je=!1,it={};for(let yt of this._order){let Ot=this._layers[yt];if(Ot.type!==\"symbol\")continue;if(!it[Ot.source]){let hr=this.sourceCaches[Ot.source];it[Ot.source]=hr.getRenderableIds(!0).map(Sr=>hr.getTileByID(Sr)).sort((Sr,he)=>he.tileID.overscaledZ-Sr.tileID.overscaledZ||(Sr.tileID.isLessThan(he.tileID)?-1:1))}let Nt=this.crossTileSymbolIndex.addLayer(Ot,it[Ot.source],w.center.lng);qe=qe||Nt}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((se=se||this._layerOrderChanged||Q===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(u.now(),w.zoom))&&(this.pauseablePlacement=new ka(w,this.map.terrain,this._order,se,B,Q,ee,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,it),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(u.now()),je=!0),qe&&this.pauseablePlacement.placement.setStale()),je||qe)for(let yt of this._order){let Ot=this._layers[yt];Ot.type===\"symbol\"&&this.placement.updateLayerOpacities(Ot,it[Ot.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(u.now())}_releaseSymbolFadeTiles(){for(let w in this.sourceCaches)this.sourceCaches[w].releaseSymbolFadeTiles()}getImages(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.imageManager.getImages(B.icons);this._updateTilesForChangedImages();let ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,B.icons),Q})}getGlyphs(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.glyphManager.getGlyphs(B.stacks),ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,[\"\"]),Q})}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(w,B={}){this._checkLoaded(),w&&this._validate(a.u.glyphs,\"glyphs\",w,null,B)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=w,this.glyphManager.entries={},this.glyphManager.setURL(w))}addSprite(w,B,Q={},ee){this._checkLoaded();let se=[{id:w,url:B}],qe=[...C(this.stylesheet.sprite),...se];this._validate(a.u.sprite,\"sprite\",qe,null,Q)||(this.stylesheet.sprite=qe,this._loadSprite(se,!0,ee))}removeSprite(w){this._checkLoaded();let B=C(this.stylesheet.sprite);if(B.find(Q=>Q.id===w)){if(this._spritesImagesIds[w])for(let Q of this._spritesImagesIds[w])this.imageManager.removeImage(Q),this._changedImages[Q]=!0;B.splice(B.findIndex(Q=>Q.id===w),1),this.stylesheet.sprite=B.length>0?B:void 0,delete this._spritesImagesIds[w],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}else this.fire(new a.j(new Error(`Sprite \"${w}\" doesn't exists on this map.`)))}getSprite(){return C(this.stylesheet.sprite)}setSprite(w,B={},Q){this._checkLoaded(),w&&this._validate(a.u.sprite,\"sprite\",w,null,B)||(this.stylesheet.sprite=w,w?this._loadSprite(w,!0,Q):(this._unloadSprite(),Q&&Q(null)))}}var oo=a.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let xn={prelude:_t(`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "`,`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\n",
+       "#ifdef TERRAIN3D\n",
+       "uniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\n",
+       "#endif\n",
+       "const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\n",
+       "#ifdef TERRAIN3D\n",
+       "highp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float calculate_visibility(vec4 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float ele(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}float get_elevation(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}`),background:_t(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:_t(`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:_t(`varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:_t(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:_t(`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:_t(`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:_t(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:_t(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:_t(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:_t(`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:_t(`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:_t(`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillPattern:_t(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`),fillExtrusion:_t(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`),fillExtrusionPattern:_t(`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`),hillshadePrepare:_t(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:_t(`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:_t(`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),lineGradient:_t(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),linePattern:_t(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:_t(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`),raster:_t(`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:_t(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}`),symbolSDF:_t(`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`),symbolTextAndIcon:_t(`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`),terrain:_t(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:_t(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:_t(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:_t(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function _t(le,w){let B=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,Q=w.match(/attribute ([\\w]+) ([\\w]+)/g),ee=le.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),se=w.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),qe=se?se.concat(ee):ee,je={};return{fragmentSource:le=le.replace(B,(it,yt,Ot,Nt,hr)=>(je[hr]=!0,yt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "varying ${Ot} ${Nt} ${hr};\n",
+       "#else\n",
+       "uniform ${Ot} ${Nt} u_${hr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_${hr}\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`)),vertexSource:w=w.replace(B,(it,yt,Ot,Nt,hr)=>{let Sr=Nt===\"float\"?\"vec2\":\"vec4\",he=hr.match(/color/)?\"color\":Sr;return je[hr]?yt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "uniform lowp float u_${hr}_t;\n",
+       "attribute ${Ot} ${Sr} a_${hr};\n",
+       "varying ${Ot} ${Nt} ${hr};\n",
+       "#else\n",
+       "uniform ${Ot} ${Nt} u_${hr};\n",
+       "#endif\n",
+       "`:he===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "    ${hr} = a_${hr};\n",
+       "#else\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "    ${hr} = unpack_mix_${he}(a_${hr}, u_${hr}_t);\n",
+       "#else\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`:yt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "uniform lowp float u_${hr}_t;\n",
+       "attribute ${Ot} ${Sr} a_${hr};\n",
+       "#else\n",
+       "uniform ${Ot} ${Nt} u_${hr};\n",
+       "#endif\n",
+       "`:he===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "    ${Ot} ${Nt} ${hr} = a_${hr};\n",
+       "#else\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${hr}\n",
+       "    ${Ot} ${Nt} ${hr} = unpack_mix_${he}(a_${hr}, u_${hr}_t);\n",
+       "#else\n",
+       "    ${Ot} ${Nt} ${hr} = u_${hr};\n",
+       "#endif\n",
+       "`}),staticAttributes:Q,staticUniforms:qe}}class br{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(w,B,Q,ee,se,qe,je,it,yt){this.context=w;let Ot=this.boundPaintVertexBuffers.length!==ee.length;for(let Nt=0;!Ot&&Nt<ee.length;Nt++)this.boundPaintVertexBuffers[Nt]!==ee[Nt]&&(Ot=!0);!this.vao||this.boundProgram!==B||this.boundLayoutVertexBuffer!==Q||Ot||this.boundIndexBuffer!==se||this.boundVertexOffset!==qe||this.boundDynamicVertexBuffer!==je||this.boundDynamicVertexBuffer2!==it||this.boundDynamicVertexBuffer3!==yt?this.freshBind(B,Q,ee,se,qe,je,it,yt):(w.bindVertexArray.set(this.vao),je&&je.bind(),se&&se.dynamicDraw&&se.bind(),it&&it.bind(),yt&&yt.bind())}freshBind(w,B,Q,ee,se,qe,je,it){let yt=w.numAttributes,Ot=this.context,Nt=Ot.gl;this.vao&&this.destroy(),this.vao=Ot.createVertexArray(),Ot.bindVertexArray.set(this.vao),this.boundProgram=w,this.boundLayoutVertexBuffer=B,this.boundPaintVertexBuffers=Q,this.boundIndexBuffer=ee,this.boundVertexOffset=se,this.boundDynamicVertexBuffer=qe,this.boundDynamicVertexBuffer2=je,this.boundDynamicVertexBuffer3=it,B.enableAttributes(Nt,w);for(let hr of Q)hr.enableAttributes(Nt,w);qe&&qe.enableAttributes(Nt,w),je&&je.enableAttributes(Nt,w),it&&it.enableAttributes(Nt,w),B.bind(),B.setVertexAttribPointers(Nt,w,se);for(let hr of Q)hr.bind(),hr.setVertexAttribPointers(Nt,w,se);qe&&(qe.bind(),qe.setVertexAttribPointers(Nt,w,se)),ee&&ee.bind(),je&&(je.bind(),je.setVertexAttribPointers(Nt,w,se)),it&&(it.bind(),it.setVertexAttribPointers(Nt,w,se)),Ot.currentNumAttributes=yt}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}let Hr=(le,w,B,Q,ee)=>({u_matrix:le,u_texture:0,u_ele_delta:w,u_fog_matrix:B,u_fog_color:Q?Q.properties.get(\"fog-color\"):a.aM.white,u_fog_ground_blend:Q?Q.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:Q?Q.calculateFogBlendOpacity(ee):0,u_horizon_color:Q?Q.properties.get(\"horizon-color\"):a.aM.white,u_horizon_fog_blend:Q?Q.properties.get(\"horizon-fog-blend\"):1});function ti(le){let w=[];for(let B=0;B<le.length;B++){if(le[B]===null)continue;let Q=le[B].split(\" \");w.push(Q.pop())}return w}class zi{constructor(w,B,Q,ee,se,qe){let je=w.gl;this.program=je.createProgram();let it=ti(B.staticAttributes),yt=Q?Q.getBinderAttributes():[],Ot=it.concat(yt),Nt=xn.prelude.staticUniforms?ti(xn.prelude.staticUniforms):[],hr=B.staticUniforms?ti(B.staticUniforms):[],Sr=Q?Q.getBinderUniforms():[],he=Nt.concat(hr).concat(Sr),be=[];for(let Dt of he)be.indexOf(Dt)<0&&be.push(Dt);let Pe=Q?Q.defines():[];se&&Pe.push(\"#define OVERDRAW_INSPECTOR;\"),qe&&Pe.push(\"#define TERRAIN3D;\");let Oe=Pe.concat(xn.prelude.fragmentSource,B.fragmentSource).join(`\n",
+       "`),Je=Pe.concat(xn.prelude.vertexSource,B.vertexSource).join(`\n",
+       "`),He=je.createShader(je.FRAGMENT_SHADER);if(je.isContextLost())return void(this.failedToCreate=!0);if(je.shaderSource(He,Oe),je.compileShader(He),!je.getShaderParameter(He,je.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${je.getShaderInfoLog(He)}`);je.attachShader(this.program,He);let et=je.createShader(je.VERTEX_SHADER);if(je.isContextLost())return void(this.failedToCreate=!0);if(je.shaderSource(et,Je),je.compileShader(et),!je.getShaderParameter(et,je.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${je.getShaderInfoLog(et)}`);je.attachShader(this.program,et),this.attributes={};let Mt={};this.numAttributes=Ot.length;for(let Dt=0;Dt<this.numAttributes;Dt++)Ot[Dt]&&(je.bindAttribLocation(this.program,Dt,Ot[Dt]),this.attributes[Ot[Dt]]=Dt);if(je.linkProgram(this.program),!je.getProgramParameter(this.program,je.LINK_STATUS))throw new Error(`Program failed to link: ${je.getProgramInfoLog(this.program)}`);je.deleteShader(et),je.deleteShader(He);for(let Dt=0;Dt<be.length;Dt++){let Ut=be[Dt];if(Ut&&!Mt[Ut]){let tr=je.getUniformLocation(this.program,Ut);tr&&(Mt[Ut]=tr)}}this.fixedUniforms=ee(w,Mt),this.terrainUniforms=((Dt,Ut)=>({u_depth:new a.aH(Dt,Ut.u_depth),u_terrain:new a.aH(Dt,Ut.u_terrain),u_terrain_dim:new a.aI(Dt,Ut.u_terrain_dim),u_terrain_matrix:new a.aJ(Dt,Ut.u_terrain_matrix),u_terrain_unpack:new a.aK(Dt,Ut.u_terrain_unpack),u_terrain_exaggeration:new a.aI(Dt,Ut.u_terrain_exaggeration)}))(w,Mt),this.binderUniforms=Q?Q.getUniforms(w,Mt):[]}draw(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he,be,Pe,Oe,Je){let He=w.gl;if(this.failedToCreate)return;if(w.program.set(this.program),w.setDepthMode(Q),w.setStencilMode(ee),w.setColorMode(se),w.setCullFace(qe),it){w.activeTexture.set(He.TEXTURE2),He.bindTexture(He.TEXTURE_2D,it.depthTexture),w.activeTexture.set(He.TEXTURE3),He.bindTexture(He.TEXTURE_2D,it.texture);for(let Mt in this.terrainUniforms)this.terrainUniforms[Mt].set(it[Mt])}for(let Mt in this.fixedUniforms)this.fixedUniforms[Mt].set(je[Mt]);be&&be.setUniforms(w,this.binderUniforms,Sr,{zoom:he});let et=0;switch(B){case He.LINES:et=2;break;case He.TRIANGLES:et=3;break;case He.LINE_STRIP:et=1}for(let Mt of hr.get()){let Dt=Mt.vaos||(Mt.vaos={});(Dt[yt]||(Dt[yt]=new br)).bind(w,this,Ot,be?be.getPaintVertexBuffers():[],Nt,Mt.vertexOffset,Pe,Oe,Je),He.drawElements(B,Mt.primitiveLength*et,He.UNSIGNED_SHORT,Mt.primitiveOffset*et*2)}}}function Yi(le,w,B){let Q=1/nn(B,1,w.transform.tileZoom),ee=Math.pow(2,B.tileID.overscaledZ),se=B.tileSize*Math.pow(2,w.transform.tileZoom)/ee,qe=se*(B.tileID.canonical.x+B.tileID.wrap*ee),je=se*B.tileID.canonical.y;return{u_image:0,u_texsize:B.imageAtlasTexture.size,u_scale:[Q,le.fromScale,le.toScale],u_fade:le.t,u_pixel_coord_upper:[qe>>16,je>>16],u_pixel_coord_lower:[65535&qe,65535&je]}}let an=(le,w,B,Q)=>{let ee=w.style.light,se=ee.properties.get(\"position\"),qe=[se.x,se.y,se.z],je=function(){var yt=new a.A(9);return a.A!=Float32Array&&(yt[1]=0,yt[2]=0,yt[3]=0,yt[5]=0,yt[6]=0,yt[7]=0),yt[0]=1,yt[4]=1,yt[8]=1,yt}();ee.properties.get(\"anchor\")===\"viewport\"&&function(yt,Ot){var Nt=Math.sin(Ot),hr=Math.cos(Ot);yt[0]=hr,yt[1]=Nt,yt[2]=0,yt[3]=-Nt,yt[4]=hr,yt[5]=0,yt[6]=0,yt[7]=0,yt[8]=1}(je,-w.transform.angle),function(yt,Ot,Nt){var hr=Ot[0],Sr=Ot[1],he=Ot[2];yt[0]=hr*Nt[0]+Sr*Nt[3]+he*Nt[6],yt[1]=hr*Nt[1]+Sr*Nt[4]+he*Nt[7],yt[2]=hr*Nt[2]+Sr*Nt[5]+he*Nt[8]}(qe,qe,je);let it=ee.properties.get(\"color\");return{u_matrix:le,u_lightpos:qe,u_lightintensity:ee.properties.get(\"intensity\"),u_lightcolor:[it.r,it.g,it.b],u_vertical_gradient:+B,u_opacity:Q}},hi=(le,w,B,Q,ee,se,qe)=>a.e(an(le,w,B,Q),Yi(se,w,qe),{u_height_factor:-Math.pow(2,ee.overscaledZ)/qe.tileSize/8}),Ji=le=>({u_matrix:le}),ua=(le,w,B,Q)=>a.e(Ji(le),Yi(B,w,Q)),Fn=(le,w)=>({u_matrix:le,u_world:w}),Sa=(le,w,B,Q,ee)=>a.e(ua(le,w,B,Q),{u_world:ee}),go=(le,w,B,Q)=>{let ee=le.transform,se,qe;if(Q.paint.get(\"circle-pitch-alignment\")===\"map\"){let je=nn(B,1,ee.zoom);se=!0,qe=[je,je]}else se=!1,qe=ee.pixelsToGLUnits;return{u_camera_to_center_distance:ee.cameraToCenterDistance,u_scale_with_map:+(Q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:le.translatePosMatrix(w.posMatrix,B,Q.paint.get(\"circle-translate\"),Q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+se,u_device_pixel_ratio:le.pixelRatio,u_extrude_scale:qe}},Oo=(le,w,B)=>({u_matrix:le,u_inv_matrix:w,u_camera_to_center_distance:B.cameraToCenterDistance,u_viewport_size:[B.width,B.height]}),ho=(le,w,B=1)=>({u_matrix:le,u_color:w,u_overlay:0,u_overlay_scale:B}),Mo=le=>({u_matrix:le}),xo=(le,w,B,Q)=>({u_matrix:le,u_extrude_scale:nn(w,1,B),u_intensity:Q}),zs=(le,w,B,Q)=>{let ee=a.H();a.aP(ee,0,le.width,le.height,0,0,1);let se=le.context.gl;return{u_matrix:ee,u_world:[se.drawingBufferWidth,se.drawingBufferHeight],u_image:B,u_color_ramp:Q,u_opacity:w.paint.get(\"heatmap-opacity\")}};function ks(le,w){let B=Math.pow(2,w.canonical.z),Q=w.canonical.y;return[new a.Z(0,Q/B).toLngLat().lat,new a.Z(0,(Q+1)/B).toLngLat().lat]}let Zs=(le,w,B,Q)=>{let ee=le.transform;return{u_matrix:Cs(le,w,B,Q),u_ratio:1/nn(w,1,ee.zoom),u_device_pixel_ratio:le.pixelRatio,u_units_to_pixels:[1/ee.pixelsToGLUnits[0],1/ee.pixelsToGLUnits[1]]}},Xs=(le,w,B,Q,ee)=>a.e(Zs(le,w,B,ee),{u_image:0,u_image_height:Q}),wl=(le,w,B,Q,ee)=>{let se=le.transform,qe=cl(w,se);return{u_matrix:Cs(le,w,B,ee),u_texsize:w.imageAtlasTexture.size,u_ratio:1/nn(w,1,se.zoom),u_device_pixel_ratio:le.pixelRatio,u_image:0,u_scale:[qe,Q.fromScale,Q.toScale],u_fade:Q.t,u_units_to_pixels:[1/se.pixelsToGLUnits[0],1/se.pixelsToGLUnits[1]]}},os=(le,w,B,Q,ee,se)=>{let qe=le.lineAtlas,je=cl(w,le.transform),it=B.layout.get(\"line-cap\")===\"round\",yt=qe.getDash(Q.from,it),Ot=qe.getDash(Q.to,it),Nt=yt.width*ee.fromScale,hr=Ot.width*ee.toScale;return a.e(Zs(le,w,B,se),{u_patternscale_a:[je/Nt,-yt.height/2],u_patternscale_b:[je/hr,-Ot.height/2],u_sdfgamma:qe.width/(256*Math.min(Nt,hr)*le.pixelRatio)/2,u_image:0,u_tex_y_a:yt.y,u_tex_y_b:Ot.y,u_mix:ee.t})};function cl(le,w){return 1/nn(le,1,w.tileZoom)}function Cs(le,w,B,Q){return le.translatePosMatrix(Q?Q.posMatrix:w.tileID.posMatrix,w,B.paint.get(\"line-translate\"),B.paint.get(\"line-translate-anchor\"))}let ml=(le,w,B,Q,ee)=>{return{u_matrix:le,u_tl_parent:w,u_scale_parent:B,u_buffer_scale:1,u_fade_t:Q.mix,u_opacity:Q.opacity*ee.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:ee.paint.get(\"raster-brightness-min\"),u_brightness_high:ee.paint.get(\"raster-brightness-max\"),u_saturation_factor:(qe=ee.paint.get(\"raster-saturation\"),qe>0?1-1/(1.001-qe):-qe),u_contrast_factor:(se=ee.paint.get(\"raster-contrast\"),se>0?1/(1-se):1+se),u_spin_weights:Ys(ee.paint.get(\"raster-hue-rotate\"))};var se,qe};function Ys(le){le*=Math.PI/180;let w=Math.sin(le),B=Math.cos(le);return[(2*B+1)/3,(-Math.sqrt(3)*w-B+1)/3,(Math.sqrt(3)*w-B+1)/3]}let Hs=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr)=>{let he=qe.transform;return{u_is_size_zoom_constant:+(le===\"constant\"||le===\"source\"),u_is_size_feature_constant:+(le===\"constant\"||le===\"camera\"),u_size_t:w?w.uSizeT:0,u_size:w?w.uSize:0,u_camera_to_center_distance:he.cameraToCenterDistance,u_pitch:he.pitch/360*2*Math.PI,u_rotate_symbol:+B,u_aspect_ratio:he.width/he.height,u_fade_change:qe.options.fadeDuration?qe.symbolFadeChange:1,u_matrix:je,u_label_plane_matrix:it,u_coord_matrix:yt,u_is_text:+Nt,u_pitch_with_map:+Q,u_is_along_line:ee,u_is_variable_anchor:se,u_texsize:hr,u_texture:0,u_translation:Ot,u_pitched_scale:Sr}},Eo=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he)=>{let be=qe.transform;return a.e(Hs(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,he),{u_gamma_scale:Q?Math.cos(be._pitch)*be.cameraToCenterDistance:1,u_device_pixel_ratio:qe.pixelRatio,u_is_halo:+Sr})},fs=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr)=>a.e(Eo(le,w,B,Q,ee,se,qe,je,it,yt,Ot,!0,Nt,!0,Sr),{u_texsize_icon:hr,u_texture_icon:1}),$l=(le,w,B)=>({u_matrix:le,u_opacity:w,u_color:B}),Hu=(le,w,B,Q,ee,se)=>a.e(function(qe,je,it,yt){let Ot=it.imageManager.getPattern(qe.from.toString()),Nt=it.imageManager.getPattern(qe.to.toString()),{width:hr,height:Sr}=it.imageManager.getPixelSize(),he=Math.pow(2,yt.tileID.overscaledZ),be=yt.tileSize*Math.pow(2,it.transform.tileZoom)/he,Pe=be*(yt.tileID.canonical.x+yt.tileID.wrap*he),Oe=be*yt.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:Ot.tl,u_pattern_br_a:Ot.br,u_pattern_tl_b:Nt.tl,u_pattern_br_b:Nt.br,u_texsize:[hr,Sr],u_mix:je.t,u_pattern_size_a:Ot.displaySize,u_pattern_size_b:Nt.displaySize,u_scale_a:je.fromScale,u_scale_b:je.toScale,u_tile_units_to_pixels:1/nn(yt,1,it.transform.tileZoom),u_pixel_coord_upper:[Pe>>16,Oe>>16],u_pixel_coord_lower:[65535&Pe,65535&Oe]}}(Q,se,B,ee),{u_matrix:le,u_opacity:w}),fc={fillExtrusion:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_lightpos:new a.aN(le,w.u_lightpos),u_lightintensity:new a.aI(le,w.u_lightintensity),u_lightcolor:new a.aN(le,w.u_lightcolor),u_vertical_gradient:new a.aI(le,w.u_vertical_gradient),u_opacity:new a.aI(le,w.u_opacity)}),fillExtrusionPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_lightpos:new a.aN(le,w.u_lightpos),u_lightintensity:new a.aI(le,w.u_lightintensity),u_lightcolor:new a.aN(le,w.u_lightcolor),u_vertical_gradient:new a.aI(le,w.u_vertical_gradient),u_height_factor:new a.aI(le,w.u_height_factor),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade),u_opacity:new a.aI(le,w.u_opacity)}),fill:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix)}),fillPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),fillOutline:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world)}),fillOutlinePattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),circle:(le,w)=>({u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_scale_with_map:new a.aH(le,w.u_scale_with_map),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_extrude_scale:new a.aO(le,w.u_extrude_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_matrix:new a.aJ(le,w.u_matrix)}),collisionBox:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_pixel_extrude_scale:new a.aO(le,w.u_pixel_extrude_scale)}),collisionCircle:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_inv_matrix:new a.aJ(le,w.u_inv_matrix),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_viewport_size:new a.aO(le,w.u_viewport_size)}),debug:(le,w)=>({u_color:new a.aL(le,w.u_color),u_matrix:new a.aJ(le,w.u_matrix),u_overlay:new a.aH(le,w.u_overlay),u_overlay_scale:new a.aI(le,w.u_overlay_scale)}),clippingMask:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix)}),heatmap:(le,w)=>({u_extrude_scale:new a.aI(le,w.u_extrude_scale),u_intensity:new a.aI(le,w.u_intensity),u_matrix:new a.aJ(le,w.u_matrix)}),heatmapTexture:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world),u_image:new a.aH(le,w.u_image),u_color_ramp:new a.aH(le,w.u_color_ramp),u_opacity:new a.aI(le,w.u_opacity)}),hillshade:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_latrange:new a.aO(le,w.u_latrange),u_light:new a.aO(le,w.u_light),u_shadow:new a.aL(le,w.u_shadow),u_highlight:new a.aL(le,w.u_highlight),u_accent:new a.aL(le,w.u_accent)}),hillshadePrepare:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_dimension:new a.aO(le,w.u_dimension),u_zoom:new a.aI(le,w.u_zoom),u_unpack:new a.aK(le,w.u_unpack)}),line:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels)}),lineGradient:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_image:new a.aH(le,w.u_image),u_image_height:new a.aI(le,w.u_image_height)}),linePattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_texsize:new a.aO(le,w.u_texsize),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_image:new a.aH(le,w.u_image),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),lineSDF:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_patternscale_a:new a.aO(le,w.u_patternscale_a),u_patternscale_b:new a.aO(le,w.u_patternscale_b),u_sdfgamma:new a.aI(le,w.u_sdfgamma),u_image:new a.aH(le,w.u_image),u_tex_y_a:new a.aI(le,w.u_tex_y_a),u_tex_y_b:new a.aI(le,w.u_tex_y_b),u_mix:new a.aI(le,w.u_mix)}),raster:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_tl_parent:new a.aO(le,w.u_tl_parent),u_scale_parent:new a.aI(le,w.u_scale_parent),u_buffer_scale:new a.aI(le,w.u_buffer_scale),u_fade_t:new a.aI(le,w.u_fade_t),u_opacity:new a.aI(le,w.u_opacity),u_image0:new a.aH(le,w.u_image0),u_image1:new a.aH(le,w.u_image1),u_brightness_low:new a.aI(le,w.u_brightness_low),u_brightness_high:new a.aI(le,w.u_brightness_high),u_saturation_factor:new a.aI(le,w.u_saturation_factor),u_contrast_factor:new a.aI(le,w.u_contrast_factor),u_spin_weights:new a.aN(le,w.u_spin_weights)}),symbolIcon:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texture:new a.aH(le,w.u_texture),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),symbolSDF:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texture:new a.aH(le,w.u_texture),u_gamma_scale:new a.aI(le,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_is_halo:new a.aH(le,w.u_is_halo),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),symbolTextAndIcon:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texsize_icon:new a.aO(le,w.u_texsize_icon),u_texture:new a.aH(le,w.u_texture),u_texture_icon:new a.aH(le,w.u_texture_icon),u_gamma_scale:new a.aI(le,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_is_halo:new a.aH(le,w.u_is_halo),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),background:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_opacity:new a.aI(le,w.u_opacity),u_color:new a.aL(le,w.u_color)}),backgroundPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_opacity:new a.aI(le,w.u_opacity),u_image:new a.aH(le,w.u_image),u_pattern_tl_a:new a.aO(le,w.u_pattern_tl_a),u_pattern_br_a:new a.aO(le,w.u_pattern_br_a),u_pattern_tl_b:new a.aO(le,w.u_pattern_tl_b),u_pattern_br_b:new a.aO(le,w.u_pattern_br_b),u_texsize:new a.aO(le,w.u_texsize),u_mix:new a.aI(le,w.u_mix),u_pattern_size_a:new a.aO(le,w.u_pattern_size_a),u_pattern_size_b:new a.aO(le,w.u_pattern_size_b),u_scale_a:new a.aI(le,w.u_scale_a),u_scale_b:new a.aI(le,w.u_scale_b),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_tile_units_to_pixels:new a.aI(le,w.u_tile_units_to_pixels)}),terrain:(le,w)=>({u_matrix:new 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ee=w.gl;this.buffer=ee.createBuffer(),this.dynamicDraw=!!Q,this.context.unbindVAO(),w.bindElementBuffer.set(this.buffer),ee.bufferData(ee.ELEMENT_ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?ee.DYNAMIC_DRAW:ee.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(w){let B=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),B.bufferSubData(B.ELEMENT_ARRAY_BUFFER,0,w.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let on={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class fa{constructor(w,B,Q,ee){this.length=B.length,this.attributes=Q,this.itemSize=B.bytesPerElement,this.dynamicDraw=ee,this.context=w;let se=w.gl;this.buffer=se.createBuffer(),w.bindVertexBuffer.set(this.buffer),se.bufferData(se.ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?se.DYNAMIC_DRAW:se.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(w){if(w.length!==this.length)throw new Error(`Length of new data is ${w.length}, which doesn't match current length of ${this.length}`);let B=this.context.gl;this.bind(),B.bufferSubData(B.ARRAY_BUFFER,0,w.arrayBuffer)}enableAttributes(w,B){for(let Q=0;Q<this.attributes.length;Q++){let ee=B.attributes[this.attributes[Q].name];ee!==void 0&&w.enableVertexAttribArray(ee)}}setVertexAttribPointers(w,B,Q){for(let ee=0;ee<this.attributes.length;ee++){let se=this.attributes[ee],qe=B.attributes[se.name];qe!==void 0&&w.vertexAttribPointer(qe,se.components,w[on[se.type]],!1,this.itemSize,se.offset+this.itemSize*(Q||0))}}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Qu=new WeakMap;function Il(le){var w;if(Qu.has(le))return Qu.get(le);{let B=(w=le.getParameter(le.VERSION))===null||w===void 0?void 0:w.startsWith(\"WebGL 2.0\");return Qu.set(le,B),B}}class vo{constructor(w){this.gl=w.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(w){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class Wl extends vo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.clearColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Ks extends vo{getDefault(){return 1}set(w){(w!==this.current||this.dirty)&&(this.gl.clearDepth(w),this.current=w,this.dirty=!1)}}class Zl extends vo{getDefault(){return 0}set(w){(w!==this.current||this.dirty)&&(this.gl.clearStencil(w),this.current=w,this.dirty=!1)}}class Ec extends vo{getDefault(){return[!0,!0,!0,!0]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.colorMask(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class Zn extends vo{getDefault(){return!0}set(w){(w!==this.current||this.dirty)&&(this.gl.depthMask(w),this.current=w,this.dirty=!1)}}class ko extends vo{getDefault(){return 255}set(w){(w!==this.current||this.dirty)&&(this.gl.stencilMask(w),this.current=w,this.dirty=!1)}}class Co extends vo{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(w){let B=this.current;(w.func!==B.func||w.ref!==B.ref||w.mask!==B.mask||this.dirty)&&(this.gl.stencilFunc(w.func,w.ref,w.mask),this.current=w,this.dirty=!1)}}class Tl extends vo{getDefault(){let w=this.gl;return[w.KEEP,w.KEEP,w.KEEP]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||this.dirty)&&(this.gl.stencilOp(w[0],w[1],w[2]),this.current=w,this.dirty=!1)}}class uf extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.STENCIL_TEST):B.disable(B.STENCIL_TEST),this.current=w,this.dirty=!1}}class So extends vo{getDefault(){return[0,1]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.depthRange(w[0],w[1]),this.current=w,this.dirty=!1)}}class cf extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.DEPTH_TEST):B.disable(B.DEPTH_TEST),this.current=w,this.dirty=!1}}class rh extends vo{getDefault(){return this.gl.LESS}set(w){(w!==this.current||this.dirty)&&(this.gl.depthFunc(w),this.current=w,this.dirty=!1)}}class Al extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.BLEND):B.disable(B.BLEND),this.current=w,this.dirty=!1}}class Hc extends vo{getDefault(){let w=this.gl;return[w.ONE,w.ZERO]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.blendFunc(w[0],w[1]),this.current=w,this.dirty=!1)}}class Ql extends vo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.blendColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Ls extends vo{getDefault(){return this.gl.FUNC_ADD}set(w){(w!==this.current||this.dirty)&&(this.gl.blendEquation(w),this.current=w,this.dirty=!1)}}class mu extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.CULL_FACE):B.disable(B.CULL_FACE),this.current=w,this.dirty=!1}}class kc extends vo{getDefault(){return this.gl.BACK}set(w){(w!==this.current||this.dirty)&&(this.gl.cullFace(w),this.current=w,this.dirty=!1)}}class Of extends vo{getDefault(){return this.gl.CCW}set(w){(w!==this.current||this.dirty)&&(this.gl.frontFace(w),this.current=w,this.dirty=!1)}}class Gc extends vo{getDefault(){return null}set(w){(w!==this.current||this.dirty)&&(this.gl.useProgram(w),this.current=w,this.dirty=!1)}}class vd extends vo{getDefault(){return this.gl.TEXTURE0}set(w){(w!==this.current||this.dirty)&&(this.gl.activeTexture(w),this.current=w,this.dirty=!1)}}class Bf extends vo{getDefault(){let w=this.gl;return[0,0,w.drawingBufferWidth,w.drawingBufferHeight]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.viewport(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class ss extends vo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindFramebuffer(B.FRAMEBUFFER,w),this.current=w,this.dirty=!1}}class ff extends vo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindRenderbuffer(B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class ih extends vo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindTexture(B.TEXTURE_2D,w),this.current=w,this.dirty=!1}}class Ul extends vo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindBuffer(B.ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class Js extends vo{getDefault(){return null}set(w){let B=this.gl;B.bindBuffer(B.ELEMENT_ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class hc extends vo{getDefault(){return null}set(w){var B;if(w===this.current&&!this.dirty)return;let Q=this.gl;Il(Q)?Q.bindVertexArray(w):(B=Q.getExtension(\"OES_vertex_array_object\"))===null||B===void 0||B.bindVertexArrayOES(w),this.current=w,this.dirty=!1}}class Cc extends vo{getDefault(){return 4}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_ALIGNMENT,w),this.current=w,this.dirty=!1}}class ws extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_PREMULTIPLY_ALPHA_WEBGL,w),this.current=w,this.dirty=!1}}class $s extends vo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_FLIP_Y_WEBGL,w),this.current=w,this.dirty=!1}}class hs extends vo{constructor(w,B){super(w),this.context=w,this.parent=B}getDefault(){return null}}class Ms extends hs{setDirty(){this.dirty=!0}set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferTexture2D(B.FRAMEBUFFER,B.COLOR_ATTACHMENT0,B.TEXTURE_2D,w,0),this.current=w,this.dirty=!1}}class dc extends hs{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Sl extends hs{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_STENCIL_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class ec{constructor(w,B,Q,ee,se){this.context=w,this.width=B,this.height=Q;let qe=w.gl,je=this.framebuffer=qe.createFramebuffer();if(this.colorAttachment=new Ms(w,je),ee)this.depthAttachment=se?new Sl(w,je):new dc(w,je);else if(se)throw new Error(\"Stencil cannot be set without depth\");if(qe.checkFramebufferStatus(qe.FRAMEBUFFER)!==qe.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){let w=this.context.gl,B=this.colorAttachment.get();if(B&&w.deleteTexture(B),this.depthAttachment){let Q=this.depthAttachment.get();Q&&w.deleteRenderbuffer(Q)}w.deleteFramebuffer(this.framebuffer)}}class Ps{constructor(w,B,Q){this.blendFunction=w,this.blendColor=B,this.mask=Q}}Ps.Replace=[1,0],Ps.disabled=new Ps(Ps.Replace,a.aM.transparent,[!1,!1,!1,!1]),Ps.unblended=new Ps(Ps.Replace,a.aM.transparent,[!0,!0,!0,!0]),Ps.alphaBlended=new Ps([1,771],a.aM.transparent,[!0,!0,!0,!0]);class ov{constructor(w){var B,Q;if(this.gl=w,this.clearColor=new Wl(this),this.clearDepth=new Ks(this),this.clearStencil=new Zl(this),this.colorMask=new Ec(this),this.depthMask=new Zn(this),this.stencilMask=new ko(this),this.stencilFunc=new Co(this),this.stencilOp=new Tl(this),this.stencilTest=new uf(this),this.depthRange=new So(this),this.depthTest=new cf(this),this.depthFunc=new rh(this),this.blend=new Al(this),this.blendFunc=new Hc(this),this.blendColor=new Ql(this),this.blendEquation=new Ls(this),this.cullFace=new mu(this),this.cullFaceSide=new kc(this),this.frontFace=new Of(this),this.program=new Gc(this),this.activeTexture=new vd(this),this.viewport=new Bf(this),this.bindFramebuffer=new ss(this),this.bindRenderbuffer=new ff(this),this.bindTexture=new ih(this),this.bindVertexBuffer=new Ul(this),this.bindElementBuffer=new Js(this),this.bindVertexArray=new hc(this),this.pixelStoreUnpack=new Cc(this),this.pixelStoreUnpackPremultiplyAlpha=new ws(this),this.pixelStoreUnpackFlipY=new $s(this),this.extTextureFilterAnisotropic=w.getExtension(\"EXT_texture_filter_anisotropic\")||w.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||w.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=w.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=w.getParameter(w.MAX_TEXTURE_SIZE),Il(w)){this.HALF_FLOAT=w.HALF_FLOAT;let ee=w.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=(B=w.RGBA16F)!==null&&B!==void 0?B:ee==null?void 0:ee.RGBA16F_EXT,this.RGB16F=(Q=w.RGB16F)!==null&&Q!==void 0?Q:ee==null?void 0:ee.RGB16F_EXT,w.getExtension(\"EXT_color_buffer_float\")}else{w.getExtension(\"EXT_color_buffer_half_float\"),w.getExtension(\"OES_texture_half_float_linear\");let ee=w.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=ee==null?void 0:ee.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(w,B){return new ms(this,w,B)}createVertexBuffer(w,B,Q){return new fa(this,w,B,Q)}createRenderbuffer(w,B,Q){let ee=this.gl,se=ee.createRenderbuffer();return this.bindRenderbuffer.set(se),ee.renderbufferStorage(ee.RENDERBUFFER,w,B,Q),this.bindRenderbuffer.set(null),se}createFramebuffer(w,B,Q,ee){return new ec(this,w,B,Q,ee)}clear({color:w,depth:B,stencil:Q}){let ee=this.gl,se=0;w&&(se|=ee.COLOR_BUFFER_BIT,this.clearColor.set(w),this.colorMask.set([!0,!0,!0,!0])),B!==void 0&&(se|=ee.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(B),this.depthMask.set(!0)),Q!==void 0&&(se|=ee.STENCIL_BUFFER_BIT,this.clearStencil.set(Q),this.stencilMask.set(255)),ee.clear(se)}setCullFace(w){w.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(w.mode),this.frontFace.set(w.frontFace))}setDepthMode(w){w.func!==this.gl.ALWAYS||w.mask?(this.depthTest.set(!0),this.depthFunc.set(w.func),this.depthMask.set(w.mask),this.depthRange.set(w.range)):this.depthTest.set(!1)}setStencilMode(w){w.test.func!==this.gl.ALWAYS||w.mask?(this.stencilTest.set(!0),this.stencilMask.set(w.mask),this.stencilOp.set([w.fail,w.depthFail,w.pass]),this.stencilFunc.set({func:w.test.func,ref:w.ref,mask:w.test.mask})):this.stencilTest.set(!1)}setColorMode(w){a.aE(w.blendFunction,Ps.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(w.blendFunction),this.blendColor.set(w.blendColor)),this.colorMask.set(w.mask)}createVertexArray(){var w;return Il(this.gl)?this.gl.createVertexArray():(w=this.gl.getExtension(\"OES_vertex_array_object\"))===null||w===void 0?void 0:w.createVertexArrayOES()}deleteVertexArray(w){var B;return Il(this.gl)?this.gl.deleteVertexArray(w):(B=this.gl.getExtension(\"OES_vertex_array_object\"))===null||B===void 0?void 0:B.deleteVertexArrayOES(w)}unbindVAO(){this.bindVertexArray.set(null)}}class wo{constructor(w,B,Q){this.func=w,this.mask=B,this.range=Q}}wo.ReadOnly=!1,wo.ReadWrite=!0,wo.disabled=new wo(519,wo.ReadOnly,[0,1]);let Od=7680;class $o{constructor(w,B,Q,ee,se,qe){this.test=w,this.ref=B,this.mask=Q,this.fail=ee,this.depthFail=se,this.pass=qe}}$o.disabled=new $o({func:519,mask:0},0,0,Od,Od,Od);class Ja{constructor(w,B,Q){this.enable=w,this.mode=B,this.frontFace=Q}}let Ef;function tc(le,w,B,Q,ee){let se=le.context,qe=se.gl,je=le.useProgram(\"collisionBox\"),it=[],yt=0,Ot=0;for(let Oe=0;Oe<Q.length;Oe++){let Je=Q[Oe],He=w.getTile(Je).getBucket(B);if(!He)continue;let et=ee?He.textCollisionBox:He.iconCollisionBox,Mt=He.collisionCircleArray;if(Mt.length>0){let Dt=a.H();a.aQ(Dt,He.placementInvProjMatrix,le.transform.glCoordMatrix),a.aQ(Dt,Dt,He.placementViewportMatrix),it.push({circleArray:Mt,circleOffset:Ot,transform:Je.posMatrix,invTransform:Dt,coord:Je}),yt+=Mt.length/4,Ot=yt}et&&je.draw(se,qe.LINES,wo.disabled,$o.disabled,le.colorModeForRenderPass(),Ja.disabled,{u_matrix:Je.posMatrix,u_pixel_extrude_scale:[1/(Nt=le.transform).width,1/Nt.height]},le.style.map.terrain&&le.style.map.terrain.getTerrainData(Je),B.id,et.layoutVertexBuffer,et.indexBuffer,et.segments,null,le.transform.zoom,null,null,et.collisionVertexBuffer)}var Nt;if(!ee||!it.length)return;let hr=le.useProgram(\"collisionCircle\"),Sr=new a.aR;Sr.resize(4*yt),Sr._trim();let he=0;for(let Oe of it)for(let Je=0;Je<Oe.circleArray.length/4;Je++){let He=4*Je,et=Oe.circleArray[He+0],Mt=Oe.circleArray[He+1],Dt=Oe.circleArray[He+2],Ut=Oe.circleArray[He+3];Sr.emplace(he++,et,Mt,Dt,Ut,0),Sr.emplace(he++,et,Mt,Dt,Ut,1),Sr.emplace(he++,et,Mt,Dt,Ut,2),Sr.emplace(he++,et,Mt,Dt,Ut,3)}(!Ef||Ef.length<2*yt)&&(Ef=function(Oe){let Je=2*Oe,He=new a.aT;He.resize(Je),He._trim();for(let et=0;et<Je;et++){let Mt=6*et;He.uint16[Mt+0]=4*et+0,He.uint16[Mt+1]=4*et+1,He.uint16[Mt+2]=4*et+2,He.uint16[Mt+3]=4*et+2,He.uint16[Mt+4]=4*et+3,He.uint16[Mt+5]=4*et+0}return He}(yt));let be=se.createIndexBuffer(Ef,!0),Pe=se.createVertexBuffer(Sr,a.aS.members,!0);for(let Oe of it){let Je=Oo(Oe.transform,Oe.invTransform,le.transform);hr.draw(se,qe.TRIANGLES,wo.disabled,$o.disabled,le.colorModeForRenderPass(),Ja.disabled,Je,le.style.map.terrain&&le.style.map.terrain.getTerrainData(Oe.coord),B.id,Pe,be,a.a0.simpleSegment(0,2*Oe.circleOffset,Oe.circleArray.length,Oe.circleArray.length/2),null,le.transform.zoom,null,null,null)}Pe.destroy(),be.destroy()}Ja.disabled=new Ja(!1,1029,2305),Ja.backCCW=new Ja(!0,1029,2305);let uu=a.an(new Float32Array(16));function Mh(le,w,B,Q,ee,se){let{horizontalAlign:qe,verticalAlign:je}=a.au(le);return new a.P((-(qe-.5)*w/ee+Q[0])*se,(-(je-.5)*B/ee+Q[1])*se)}function jc(le,w,B,Q,ee,se){let qe=w.tileAnchorPoint.add(new a.P(w.translation[0],w.translation[1]));if(w.pitchWithMap){let je=Q.mult(se);B||(je=je.rotate(-ee));let it=qe.add(je);return ut(it.x,it.y,w.labelPlaneMatrix,w.getElevation).point}if(B){let je=lt(w.tileAnchorPoint.x+1,w.tileAnchorPoint.y,w).point.sub(le),it=Math.atan(je.y/je.x)+(je.x<0?Math.PI:0);return le.add(Q.rotate(it))}return le.add(Q)}function kf(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr){let he=le.text.placedSymbolArray,be=le.text.dynamicLayoutVertexArray,Pe=le.icon.dynamicLayoutVertexArray,Oe={};be.clear();for(let Je=0;Je<he.length;Je++){let He=he.get(Je),et=He.hidden||!He.crossTileID||le.allowVerticalPlacement&&!He.placedOrientation?null:Q[He.crossTileID];if(et){let Mt=new a.P(He.anchorX,He.anchorY),Dt={getElevation:Sr,width:ee.width,height:ee.height,labelPlaneMatrix:se,lineVertexArray:null,pitchWithMap:B,projection:Ot,projectionCache:null,tileAnchorPoint:Mt,translation:Nt,unwrappedTileID:hr},Ut=B?ut(Mt.x,Mt.y,qe,Sr):lt(Mt.x,Mt.y,Dt),tr=Ne(ee.cameraToCenterDistance,Ut.signedDistanceFromCamera),mr=a.ai(le.textSizeData,it,He)*tr/a.ap;B&&(mr*=le.tilePixelRatio/je);let{width:Rr,height:zr,anchor:Xr,textOffset:di,textBoxScale:Li}=et,Ci=Mh(Xr,Rr,zr,di,Li,mr),Qi=Ot.getPitchedTextCorrection(ee,Mt.add(new a.P(Nt[0],Nt[1])),hr),Mn=jc(Ut.point,Dt,w,Ci,ee.angle,Qi),pa=le.allowVerticalPlacement&&He.placedOrientation===a.ah.vertical?Math.PI/2:0;for(let ea=0;ea<He.numGlyphs;ea++)a.aj(be,Mn,pa);yt&&He.associatedIconIndex>=0&&(Oe[He.associatedIconIndex]={shiftedAnchor:Mn,angle:pa})}else ai(He.numGlyphs,be)}if(yt){Pe.clear();let Je=le.icon.placedSymbolArray;for(let He=0;He<Je.length;He++){let et=Je.get(He);if(et.hidden)ai(et.numGlyphs,Pe);else{let Mt=Oe[He];if(Mt)for(let Dt=0;Dt<et.numGlyphs;Dt++)a.aj(Pe,Mt.shiftedAnchor,Mt.angle);else ai(et.numGlyphs,Pe)}}le.icon.dynamicLayoutVertexBuffer.updateData(Pe)}le.text.dynamicLayoutVertexBuffer.updateData(be)}function Ml(le,w,B){return B.iconsInText&&w?\"symbolTextAndIcon\":le?\"symbolSDF\":\"symbolIcon\"}function Yh(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt){let hr=le.context,Sr=hr.gl,he=le.transform,be=Gi(),Pe=je===\"map\",Oe=it===\"map\",Je=je!==\"viewport\"&&B.layout.get(\"symbol-placement\")!==\"point\",He=Pe&&!Oe&&!Je,et=!Oe&&Je,Mt=!B.layout.get(\"symbol-sort-key\").isConstant(),Dt=!1,Ut=le.depthModeForSublayer(0,wo.ReadOnly),tr=B._unevaluatedLayout.hasValue(\"text-variable-anchor\")||B._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),mr=[],Rr=be.getCircleRadiusCorrection(he);for(let zr of Q){let Xr=w.getTile(zr),di=Xr.getBucket(B);if(!di)continue;let Li=ee?di.text:di.icon;if(!Li||!Li.segments.get().length||!Li.hasVisibleVertices)continue;let Ci=Li.programConfigurations.get(B.id),Qi=ee||di.sdfIcons,Mn=ee?di.textSizeData:di.iconSizeData,pa=Oe||he.pitch!==0,ea=le.useProgram(Ml(Qi,ee,di),Ci),Ga=a.ag(Mn,he.zoom),To=le.style.map.terrain&&le.style.map.terrain.getTerrainData(zr),Wa,co,Ro,Ds,As=[0,0],yo=null;if(ee)co=Xr.glyphAtlasTexture,Ro=Sr.LINEAR,Wa=Xr.glyphAtlasTexture.size,di.iconsInText&&(As=Xr.imageAtlasTexture.size,yo=Xr.imageAtlasTexture,Ds=pa||le.options.rotating||le.options.zooming||Mn.kind===\"composite\"||Mn.kind===\"camera\"?Sr.LINEAR:Sr.NEAREST);else{let We=B.layout.get(\"icon-size\").constantOr(0)!==1||di.iconsNeedLinear;co=Xr.imageAtlasTexture,Ro=Qi||le.options.rotating||le.options.zooming||We||pa?Sr.LINEAR:Sr.NEAREST,Wa=Xr.imageAtlasTexture.size}let po=nn(Xr,1,le.transform.zoom),_l=et?zr.posMatrix:uu,Vl=Or(_l,Oe,Pe,le.transform,po),Zu=Nr(_l,Oe,Pe,le.transform,po),cu=Nr(zr.posMatrix,Oe,Pe,le.transform,po),el=be.translatePosition(le.transform,Xr,se,qe),nu=tr&&di.hasTextData(),zc=B.layout.get(\"icon-text-fit\")!==\"none\"&&nu&&di.hasIconData();if(Je){let We=le.style.map.terrain?(tt,zt)=>le.style.map.terrain.getElevation(zr,tt,zt):null,wt=B.layout.get(\"text-rotation-alignment\")===\"map\";Ve(di,zr.posMatrix,le,ee,Vl,cu,Oe,yt,wt,be,zr.toUnwrapped(),he.width,he.height,el,We)}let Dl=zr.posMatrix,zl=ee&&tr||zc,Z=Je||zl?uu:Vl,oe=Zu,we=Qi&&B.paint.get(ee?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Be;Be=Qi?di.iconsInText?fs(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,Wa,As,Rr):Eo(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,ee,Wa,!0,Rr):Hs(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,ee,Wa,Rr);let Ue={program:ea,buffers:Li,uniformValues:Be,atlasTexture:co,atlasTextureIcon:yo,atlasInterpolation:Ro,atlasInterpolationIcon:Ds,isSDF:Qi,hasHalo:we};if(Mt&&di.canOverlap){Dt=!0;let We=Li.segments.get();for(let wt of We)mr.push({segments:new a.a0([wt]),sortKey:wt.sortKey,state:Ue,terrainData:To})}else mr.push({segments:Li.segments,sortKey:0,state:Ue,terrainData:To})}Dt&&mr.sort((zr,Xr)=>zr.sortKey-Xr.sortKey);for(let zr of mr){let Xr=zr.state;if(hr.activeTexture.set(Sr.TEXTURE0),Xr.atlasTexture.bind(Xr.atlasInterpolation,Sr.CLAMP_TO_EDGE),Xr.atlasTextureIcon&&(hr.activeTexture.set(Sr.TEXTURE1),Xr.atlasTextureIcon&&Xr.atlasTextureIcon.bind(Xr.atlasInterpolationIcon,Sr.CLAMP_TO_EDGE)),Xr.isSDF){let di=Xr.uniformValues;Xr.hasHalo&&(di.u_is_halo=1,Eh(Xr.buffers,zr.segments,B,le,Xr.program,Ut,Ot,Nt,di,zr.terrainData)),di.u_is_halo=0}Eh(Xr.buffers,zr.segments,B,le,Xr.program,Ut,Ot,Nt,Xr.uniformValues,zr.terrainData)}}function Eh(le,w,B,Q,ee,se,qe,je,it,yt){let Ot=Q.context;ee.draw(Ot,Ot.gl.TRIANGLES,se,qe,je,Ja.disabled,it,yt,B.id,le.layoutVertexBuffer,le.indexBuffer,w,B.paint,Q.transform.zoom,le.programConfigurations.get(B.id),le.dynamicLayoutVertexBuffer,le.opacityVertexBuffer)}function nh(le,w,B,Q){let ee=le.context,se=ee.gl,qe=$o.disabled,je=new Ps([se.ONE,se.ONE],a.aM.transparent,[!0,!0,!0,!0]),it=w.getBucket(B);if(!it)return;let yt=Q.key,Ot=B.heatmapFbos.get(yt);Ot||(Ot=kh(ee,w.tileSize,w.tileSize),B.heatmapFbos.set(yt,Ot)),ee.bindFramebuffer.set(Ot.framebuffer),ee.viewport.set([0,0,w.tileSize,w.tileSize]),ee.clear({color:a.aM.transparent});let Nt=it.programConfigurations.get(B.id),hr=le.useProgram(\"heatmap\",Nt),Sr=le.style.map.terrain.getTerrainData(Q);hr.draw(ee,se.TRIANGLES,wo.disabled,qe,je,Ja.disabled,xo(Q.posMatrix,w,le.transform.zoom,B.paint.get(\"heatmap-intensity\")),Sr,B.id,it.layoutVertexBuffer,it.indexBuffer,it.segments,B.paint,le.transform.zoom,Nt)}function hf(le,w,B){let Q=le.context,ee=Q.gl;Q.setColorMode(le.colorModeForRenderPass());let se=Kh(Q,w),qe=B.key,je=w.heatmapFbos.get(qe);je&&(Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,je.colorAttachment.get()),Q.activeTexture.set(ee.TEXTURE1),se.bind(ee.LINEAR,ee.CLAMP_TO_EDGE),le.useProgram(\"heatmapTexture\").draw(Q,ee.TRIANGLES,wo.disabled,$o.disabled,le.colorModeForRenderPass(),Ja.disabled,zs(le,w,0,1),null,w.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments,w.paint,le.transform.zoom),je.destroy(),w.heatmapFbos.delete(qe))}function kh(le,w,B){var Q,ee;let se=le.gl,qe=se.createTexture();se.bindTexture(se.TEXTURE_2D,qe),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_S,se.CLAMP_TO_EDGE),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_T,se.CLAMP_TO_EDGE),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MIN_FILTER,se.LINEAR),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MAG_FILTER,se.LINEAR);let je=(Q=le.HALF_FLOAT)!==null&&Q!==void 0?Q:se.UNSIGNED_BYTE,it=(ee=le.RGBA16F)!==null&&ee!==void 0?ee:se.RGBA;se.texImage2D(se.TEXTURE_2D,0,it,w,B,0,se.RGBA,je,null);let yt=le.createFramebuffer(w,B,!1,!1);return yt.colorAttachment.set(qe),yt}function Kh(le,w){return w.colorRampTexture||(w.colorRampTexture=new p(le,w.colorRamp,le.gl.RGBA)),w.colorRampTexture}function rc(le,w,B,Q,ee){if(!B||!Q||!Q.imageAtlas)return;let se=Q.imageAtlas.patternPositions,qe=se[B.to.toString()],je=se[B.from.toString()];if(!qe&&je&&(qe=je),!je&&qe&&(je=qe),!qe||!je){let it=ee.getPaintProperty(w);qe=se[it],je=se[it]}qe&&je&&le.setConstantPatternPositions(qe,je)}function ah(le,w,B,Q,ee,se,qe){let je=le.context.gl,it=\"fill-pattern\",yt=B.paint.get(it),Ot=yt&&yt.constantOr(1),Nt=B.getCrossfadeParameters(),hr,Sr,he,be,Pe;qe?(Sr=Ot&&!B.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",hr=je.LINES):(Sr=Ot?\"fillPattern\":\"fill\",hr=je.TRIANGLES);let Oe=yt.constantOr(null);for(let Je of Q){let He=w.getTile(Je);if(Ot&&!He.patternsLoaded())continue;let et=He.getBucket(B);if(!et)continue;let Mt=et.programConfigurations.get(B.id),Dt=le.useProgram(Sr,Mt),Ut=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Je);Ot&&(le.context.activeTexture.set(je.TEXTURE0),He.imageAtlasTexture.bind(je.LINEAR,je.CLAMP_TO_EDGE),Mt.updatePaintBuffers(Nt)),rc(Mt,it,Oe,He,B);let tr=Ut?Je:null,mr=le.translatePosMatrix(tr?tr.posMatrix:Je.posMatrix,He,B.paint.get(\"fill-translate\"),B.paint.get(\"fill-translate-anchor\"));if(qe){be=et.indexBuffer2,Pe=et.segments2;let Rr=[je.drawingBufferWidth,je.drawingBufferHeight];he=Sr===\"fillOutlinePattern\"&&Ot?Sa(mr,le,Nt,He,Rr):Fn(mr,Rr)}else be=et.indexBuffer,Pe=et.segments,he=Ot?ua(mr,le,Nt,He):Ji(mr);Dt.draw(le.context,hr,ee,le.stencilModeForClipping(Je),se,Ja.disabled,he,Ut,B.id,et.layoutVertexBuffer,be,Pe,B.paint,le.transform.zoom,Mt)}}function Wc(le,w,B,Q,ee,se,qe){let je=le.context,it=je.gl,yt=\"fill-extrusion-pattern\",Ot=B.paint.get(yt),Nt=Ot.constantOr(1),hr=B.getCrossfadeParameters(),Sr=B.paint.get(\"fill-extrusion-opacity\"),he=Ot.constantOr(null);for(let be of Q){let Pe=w.getTile(be),Oe=Pe.getBucket(B);if(!Oe)continue;let Je=le.style.map.terrain&&le.style.map.terrain.getTerrainData(be),He=Oe.programConfigurations.get(B.id),et=le.useProgram(Nt?\"fillExtrusionPattern\":\"fillExtrusion\",He);Nt&&(le.context.activeTexture.set(it.TEXTURE0),Pe.imageAtlasTexture.bind(it.LINEAR,it.CLAMP_TO_EDGE),He.updatePaintBuffers(hr)),rc(He,yt,he,Pe,B);let Mt=le.translatePosMatrix(be.posMatrix,Pe,B.paint.get(\"fill-extrusion-translate\"),B.paint.get(\"fill-extrusion-translate-anchor\")),Dt=B.paint.get(\"fill-extrusion-vertical-gradient\"),Ut=Nt?hi(Mt,le,Dt,Sr,be,hr,Pe):an(Mt,le,Dt,Sr);et.draw(je,je.gl.TRIANGLES,ee,se,qe,Ja.backCCW,Ut,Je,B.id,Oe.layoutVertexBuffer,Oe.indexBuffer,Oe.segments,B.paint,le.transform.zoom,He,le.style.map.terrain&&Oe.centroidVertexBuffer)}}function df(le,w,B,Q,ee,se,qe){let je=le.context,it=je.gl,yt=B.fbo;if(!yt)return;let Ot=le.useProgram(\"hillshade\"),Nt=le.style.map.terrain&&le.style.map.terrain.getTerrainData(w);je.activeTexture.set(it.TEXTURE0),it.bindTexture(it.TEXTURE_2D,yt.colorAttachment.get()),Ot.draw(je,it.TRIANGLES,ee,se,qe,Ja.disabled,((hr,Sr,he,be)=>{let Pe=he.paint.get(\"hillshade-shadow-color\"),Oe=he.paint.get(\"hillshade-highlight-color\"),Je=he.paint.get(\"hillshade-accent-color\"),He=he.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);he.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(He-=hr.transform.angle);let et=!hr.options.moving;return{u_matrix:be?be.posMatrix:hr.transform.calculatePosMatrix(Sr.tileID.toUnwrapped(),et),u_image:0,u_latrange:ks(0,Sr.tileID),u_light:[he.paint.get(\"hillshade-exaggeration\"),He],u_shadow:Pe,u_highlight:Oe,u_accent:Je}})(le,B,Q,Nt?w:null),Nt,Q.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments)}function Cu(le,w,B,Q,ee,se){let qe=le.context,je=qe.gl,it=w.dem;if(it&&it.data){let yt=it.dim,Ot=it.stride,Nt=it.getPixels();if(qe.activeTexture.set(je.TEXTURE1),qe.pixelStoreUnpackPremultiplyAlpha.set(!1),w.demTexture=w.demTexture||le.getTileTexture(Ot),w.demTexture){let Sr=w.demTexture;Sr.update(Nt,{premultiply:!1}),Sr.bind(je.NEAREST,je.CLAMP_TO_EDGE)}else w.demTexture=new p(qe,Nt,je.RGBA,{premultiply:!1}),w.demTexture.bind(je.NEAREST,je.CLAMP_TO_EDGE);qe.activeTexture.set(je.TEXTURE0);let hr=w.fbo;if(!hr){let Sr=new p(qe,{width:yt,height:yt,data:null},je.RGBA);Sr.bind(je.LINEAR,je.CLAMP_TO_EDGE),hr=w.fbo=qe.createFramebuffer(yt,yt,!0,!1),hr.colorAttachment.set(Sr.texture)}qe.bindFramebuffer.set(hr.framebuffer),qe.viewport.set([0,0,yt,yt]),le.useProgram(\"hillshadePrepare\").draw(qe,je.TRIANGLES,Q,ee,se,Ja.disabled,((Sr,he)=>{let be=he.stride,Pe=a.H();return a.aP(Pe,0,a.X,-a.X,0,0,1),a.J(Pe,Pe,[0,-a.X,0]),{u_matrix:Pe,u_image:1,u_dimension:[be,be],u_zoom:Sr.overscaledZ,u_unpack:he.getUnpackVector()}})(w.tileID,it),null,B.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments),w.needsHillshadePrepare=!1}}function Nf(le,w,B,Q,ee,se){let qe=Q.paint.get(\"raster-fade-duration\");if(!se&&qe>0){let je=u.now(),it=(je-le.timeAdded)/qe,yt=w?(je-w.timeAdded)/qe:-1,Ot=B.getSource(),Nt=ee.coveringZoomLevel({tileSize:Ot.tileSize,roundZoom:Ot.roundZoom}),hr=!w||Math.abs(w.tileID.overscaledZ-Nt)>Math.abs(le.tileID.overscaledZ-Nt),Sr=hr&&le.refreshedUponExpiration?1:a.ac(hr?it:1-yt,0,1);return le.refreshedUponExpiration&&it>=1&&(le.refreshedUponExpiration=!1),w?{opacity:1,mix:1-Sr}:{opacity:Sr,mix:0}}return{opacity:1,mix:0}}let Zc=new a.aM(1,0,0,1),ds=new a.aM(0,1,0,1),Ch=new a.aM(0,0,1,1),Bd=new a.aM(1,0,1,1),Jh=new a.aM(0,1,1,1);function Cf(le,w,B,Q){Lu(le,0,w+B/2,le.transform.width,B,Q)}function pd(le,w,B,Q){Lu(le,w-B/2,0,B,le.transform.height,Q)}function Lu(le,w,B,Q,ee,se){let qe=le.context,je=qe.gl;je.enable(je.SCISSOR_TEST),je.scissor(w*le.pixelRatio,B*le.pixelRatio,Q*le.pixelRatio,ee*le.pixelRatio),qe.clear({color:se}),je.disable(je.SCISSOR_TEST)}function $h(le,w,B){let Q=le.context,ee=Q.gl,se=B.posMatrix,qe=le.useProgram(\"debug\"),je=wo.disabled,it=$o.disabled,yt=le.colorModeForRenderPass(),Ot=\"$debug\",Nt=le.style.map.terrain&&le.style.map.terrain.getTerrainData(B);Q.activeTexture.set(ee.TEXTURE0);let hr=w.getTileByID(B.key).latestRawTileData,Sr=Math.floor((hr&&hr.byteLength||0)/1024),he=w.getTile(B).tileSize,be=512/Math.min(he,512)*(B.overscaledZ/le.transform.zoom)*.5,Pe=B.canonical.toString();B.overscaledZ!==B.canonical.z&&(Pe+=` => ${B.overscaledZ}`),function(Oe,Je){Oe.initDebugOverlayCanvas();let He=Oe.debugOverlayCanvas,et=Oe.context.gl,Mt=Oe.debugOverlayCanvas.getContext(\"2d\");Mt.clearRect(0,0,He.width,He.height),Mt.shadowColor=\"white\",Mt.shadowBlur=2,Mt.lineWidth=1.5,Mt.strokeStyle=\"white\",Mt.textBaseline=\"top\",Mt.font=\"bold 36px Open Sans, sans-serif\",Mt.fillText(Je,5,5),Mt.strokeText(Je,5,5),Oe.debugOverlayTexture.update(He),Oe.debugOverlayTexture.bind(et.LINEAR,et.CLAMP_TO_EDGE)}(le,`${Pe} ${Sr}kB`),qe.draw(Q,ee.TRIANGLES,je,it,Ps.alphaBlended,Ja.disabled,ho(se,a.aM.transparent,be),null,Ot,le.debugBuffer,le.quadTriangleIndexBuffer,le.debugSegments),qe.draw(Q,ee.LINE_STRIP,je,it,yt,Ja.disabled,ho(se,a.aM.red),Nt,Ot,le.debugBuffer,le.tileBorderIndexBuffer,le.debugSegments)}function eu(le,w,B){let Q=le.context,ee=Q.gl,se=le.colorModeForRenderPass(),qe=new wo(ee.LEQUAL,wo.ReadWrite,le.depthRangeFor3D),je=le.useProgram(\"terrain\"),it=w.getTerrainMesh();Q.bindFramebuffer.set(null),Q.viewport.set([0,0,le.width,le.height]);for(let yt of B){let Ot=le.renderToTexture.getTexture(yt),Nt=w.getTerrainData(yt.tileID);Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Ot.texture);let hr=le.transform.calculatePosMatrix(yt.tileID.toUnwrapped()),Sr=w.getMeshFrameDelta(le.transform.zoom),he=le.transform.calculateFogMatrix(yt.tileID.toUnwrapped()),be=Hr(hr,Sr,he,le.style.sky,le.transform.pitch);je.draw(Q,ee.TRIANGLES,qe,$o.disabled,se,Ja.backCCW,be,Nt,\"terrain\",it.vertexBuffer,it.indexBuffer,it.segments)}}class Pu{constructor(w,B,Q){this.vertexBuffer=w,this.indexBuffer=B,this.segments=Q}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Lc{constructor(w,B){this.context=new ov(w),this.transform=B,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:a.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new jo}resize(w,B,Q){if(this.width=Math.floor(w*Q),this.height=Math.floor(B*Q),this.pixelRatio=Q,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let ee of this.style._order)this.style._layers[ee].resize()}setup(){let w=this.context,B=new a.aX;B.emplaceBack(0,0),B.emplaceBack(a.X,0),B.emplaceBack(0,a.X),B.emplaceBack(a.X,a.X),this.tileExtentBuffer=w.createVertexBuffer(B,oo.members),this.tileExtentSegments=a.a0.simpleSegment(0,0,4,2);let Q=new a.aX;Q.emplaceBack(0,0),Q.emplaceBack(a.X,0),Q.emplaceBack(0,a.X),Q.emplaceBack(a.X,a.X),this.debugBuffer=w.createVertexBuffer(Q,oo.members),this.debugSegments=a.a0.simpleSegment(0,0,4,5);let ee=new a.$;ee.emplaceBack(0,0,0,0),ee.emplaceBack(a.X,0,a.X,0),ee.emplaceBack(0,a.X,0,a.X),ee.emplaceBack(a.X,a.X,a.X,a.X),this.rasterBoundsBuffer=w.createVertexBuffer(ee,ot.members),this.rasterBoundsSegments=a.a0.simpleSegment(0,0,4,2);let se=new a.aX;se.emplaceBack(0,0),se.emplaceBack(1,0),se.emplaceBack(0,1),se.emplaceBack(1,1),this.viewportBuffer=w.createVertexBuffer(se,oo.members),this.viewportSegments=a.a0.simpleSegment(0,0,4,2);let qe=new a.aZ;qe.emplaceBack(0),qe.emplaceBack(1),qe.emplaceBack(3),qe.emplaceBack(2),qe.emplaceBack(0),this.tileBorderIndexBuffer=w.createIndexBuffer(qe);let je=new a.aY;je.emplaceBack(0,1,2),je.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=w.createIndexBuffer(je);let it=this.context.gl;this.stencilClearMode=new $o({func:it.ALWAYS,mask:0},0,255,it.ZERO,it.ZERO,it.ZERO)}clearStencil(){let w=this.context,B=w.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let Q=a.H();a.aP(Q,0,this.width,this.height,0,0,1),a.K(Q,Q,[B.drawingBufferWidth,B.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(w,B.TRIANGLES,wo.disabled,this.stencilClearMode,Ps.disabled,Ja.disabled,Mo(Q),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(w,B){if(this.currentStencilSource===w.source||!w.isTileClipped()||!B||!B.length)return;this.currentStencilSource=w.source;let Q=this.context,ee=Q.gl;this.nextStencilID+B.length>256&&this.clearStencil(),Q.setColorMode(Ps.disabled),Q.setDepthMode(wo.disabled);let se=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let qe of B){let je=this._tileClippingMaskIDs[qe.key]=this.nextStencilID++,it=this.style.map.terrain&&this.style.map.terrain.getTerrainData(qe);se.draw(Q,ee.TRIANGLES,wo.disabled,new $o({func:ee.ALWAYS,mask:0},je,255,ee.KEEP,ee.KEEP,ee.REPLACE),Ps.disabled,Ja.disabled,Mo(qe.posMatrix),it,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let w=this.nextStencilID++,B=this.context.gl;return new $o({func:B.NOTEQUAL,mask:255},w,255,B.KEEP,B.KEEP,B.REPLACE)}stencilModeForClipping(w){let B=this.context.gl;return new $o({func:B.EQUAL,mask:255},this._tileClippingMaskIDs[w.key],0,B.KEEP,B.KEEP,B.REPLACE)}stencilConfigForOverlap(w){let B=this.context.gl,Q=w.sort((qe,je)=>je.overscaledZ-qe.overscaledZ),ee=Q[Q.length-1].overscaledZ,se=Q[0].overscaledZ-ee+1;if(se>1){this.currentStencilSource=void 0,this.nextStencilID+se>256&&this.clearStencil();let qe={};for(let je=0;je<se;je++)qe[je+ee]=new $o({func:B.GEQUAL,mask:255},je+this.nextStencilID,255,B.KEEP,B.KEEP,B.REPLACE);return this.nextStencilID+=se,[qe,Q]}return[{[ee]:$o.disabled},Q]}colorModeForRenderPass(){let w=this.context.gl;return this._showOverdrawInspector?new Ps([w.CONSTANT_COLOR,w.ONE],new a.aM(.125,.125,.125,0),[!0,!0,!0,!0]):this.renderPass===\"opaque\"?Ps.unblended:Ps.alphaBlended}depthModeForSublayer(w,B,Q){if(!this.opaquePassEnabledForLayer())return wo.disabled;let ee=1-((1+this.currentLayer)*this.numSublayers+w)*this.depthEpsilon;return new wo(Q||this.context.gl.LEQUAL,B,[ee,ee])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(w,B){this.style=w,this.options=B,this.lineAtlas=w.lineAtlas,this.imageManager=w.imageManager,this.glyphManager=w.glyphManager,this.symbolFadeChange=w.placement.symbolFadeChange(u.now()),this.imageManager.beginFrame();let Q=this.style._order,ee=this.style.sourceCaches,se={},qe={},je={};for(let it in ee){let yt=ee[it];yt.used&&yt.prepare(this.context),se[it]=yt.getVisibleCoordinates(),qe[it]=se[it].slice().reverse(),je[it]=yt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let it=0;it<Q.length;it++)if(this.style._layers[Q[it]].is3D()){this.opaquePassCutoff=it;break}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(let it of Q){let yt=this.style._layers[it];if(!yt.hasOffscreenPass()||yt.isHidden(this.transform.zoom))continue;let Ot=qe[yt.source];(yt.type===\"custom\"||Ot.length)&&this.renderLayer(this,ee[yt.source],yt,Ot)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:B.showOverdrawInspector?a.aM.black:a.aM.transparent,depth:1}),this.clearStencil(),this.style.sky&&function(it,yt){let Ot=it.context,Nt=Ot.gl,hr=((Oe,Je,He)=>({u_sky_color:Oe.properties.get(\"sky-color\"),u_horizon_color:Oe.properties.get(\"horizon-color\"),u_horizon:(Je.height/2+Je.getHorizon())*He,u_sky_horizon_blend:Oe.properties.get(\"sky-horizon-blend\")*Je.height/2*He}))(yt,it.style.map.transform,it.pixelRatio),Sr=new wo(Nt.LEQUAL,wo.ReadWrite,[0,1]),he=$o.disabled,be=it.colorModeForRenderPass(),Pe=it.useProgram(\"sky\");if(!yt.mesh){let Oe=new a.aX;Oe.emplaceBack(-1,-1),Oe.emplaceBack(1,-1),Oe.emplaceBack(1,1),Oe.emplaceBack(-1,1);let Je=new a.aY;Je.emplaceBack(0,1,2),Je.emplaceBack(0,2,3),yt.mesh=new Pu(Ot.createVertexBuffer(Oe,oo.members),Ot.createIndexBuffer(Je),a.a0.simpleSegment(0,0,Oe.length,Je.length))}Pe.draw(Ot,Nt.TRIANGLES,Sr,he,be,Ja.disabled,hr,void 0,\"sky\",yt.mesh.vertexBuffer,yt.mesh.indexBuffer,yt.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=B.showOverdrawInspector,this.depthRangeFor3D=[0,1-(w._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=Q.length-1;this.currentLayer>=0;this.currentLayer--){let it=this.style._layers[Q[this.currentLayer]],yt=ee[it.source],Ot=se[it.source];this._renderTileClippingMasks(it,Ot),this.renderLayer(this,yt,it,Ot)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<Q.length;this.currentLayer++){let it=this.style._layers[Q[this.currentLayer]],yt=ee[it.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(it))continue;let Ot=(it.type===\"symbol\"?je:qe)[it.source];this._renderTileClippingMasks(it,se[it.source]),this.renderLayer(this,yt,it,Ot)}if(this.options.showTileBoundaries){let it=function(yt,Ot){let Nt=null,hr=Object.values(yt._layers).flatMap(Pe=>Pe.source&&!Pe.isHidden(Ot)?[yt.sourceCaches[Pe.source]]:[]),Sr=hr.filter(Pe=>Pe.getSource().type===\"vector\"),he=hr.filter(Pe=>Pe.getSource().type!==\"vector\"),be=Pe=>{(!Nt||Nt.getSource().maxzoom<Pe.getSource().maxzoom)&&(Nt=Pe)};return Sr.forEach(Pe=>be(Pe)),Nt||he.forEach(Pe=>be(Pe)),Nt}(this.style,this.transform.zoom);it&&function(yt,Ot,Nt){for(let hr=0;hr<Nt.length;hr++)$h(yt,Ot,Nt[hr])}(this,it,it.getVisibleCoordinates())}this.options.showPadding&&function(it){let yt=it.transform.padding;Cf(it,it.transform.height-(yt.top||0),3,Zc),Cf(it,yt.bottom||0,3,ds),pd(it,yt.left||0,3,Ch),pd(it,it.transform.width-(yt.right||0),3,Bd);let Ot=it.transform.centerPoint;(function(Nt,hr,Sr,he){Lu(Nt,hr-1,Sr-10,2,20,he),Lu(Nt,hr-10,Sr-1,20,2,he)})(it,Ot.x,it.transform.height-Ot.y,Jh)}(this),this.context.setDefault()}maybeDrawDepthAndCoords(w){if(!this.style||!this.style.map||!this.style.map.terrain)return;let B=this.terrainFacilitator.matrix,Q=this.transform.modelViewProjectionMatrix,ee=this.terrainFacilitator.dirty;ee||(ee=w?!a.a_(B,Q):!a.a$(B,Q)),ee||(ee=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),ee&&(a.b0(B,Q),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(se,qe){let je=se.context,it=je.gl,yt=Ps.unblended,Ot=new wo(it.LEQUAL,wo.ReadWrite,[0,1]),Nt=qe.getTerrainMesh(),hr=qe.sourceCache.getRenderableTiles(),Sr=se.useProgram(\"terrainDepth\");je.bindFramebuffer.set(qe.getFramebuffer(\"depth\").framebuffer),je.viewport.set([0,0,se.width/devicePixelRatio,se.height/devicePixelRatio]),je.clear({color:a.aM.transparent,depth:1});for(let he of hr){let be=qe.getTerrainData(he.tileID),Pe={u_matrix:se.transform.calculatePosMatrix(he.tileID.toUnwrapped()),u_ele_delta:qe.getMeshFrameDelta(se.transform.zoom)};Sr.draw(je,it.TRIANGLES,Ot,$o.disabled,yt,Ja.backCCW,Pe,be,\"terrain\",Nt.vertexBuffer,Nt.indexBuffer,Nt.segments)}je.bindFramebuffer.set(null),je.viewport.set([0,0,se.width,se.height])}(this,this.style.map.terrain),function(se,qe){let je=se.context,it=je.gl,yt=Ps.unblended,Ot=new wo(it.LEQUAL,wo.ReadWrite,[0,1]),Nt=qe.getTerrainMesh(),hr=qe.getCoordsTexture(),Sr=qe.sourceCache.getRenderableTiles(),he=se.useProgram(\"terrainCoords\");je.bindFramebuffer.set(qe.getFramebuffer(\"coords\").framebuffer),je.viewport.set([0,0,se.width/devicePixelRatio,se.height/devicePixelRatio]),je.clear({color:a.aM.transparent,depth:1}),qe.coordsIndex=[];for(let be of Sr){let Pe=qe.getTerrainData(be.tileID);je.activeTexture.set(it.TEXTURE0),it.bindTexture(it.TEXTURE_2D,hr.texture);let Oe={u_matrix:se.transform.calculatePosMatrix(be.tileID.toUnwrapped()),u_terrain_coords_id:(255-qe.coordsIndex.length)/255,u_texture:0,u_ele_delta:qe.getMeshFrameDelta(se.transform.zoom)};he.draw(je,it.TRIANGLES,Ot,$o.disabled,yt,Ja.backCCW,Oe,Pe,\"terrain\",Nt.vertexBuffer,Nt.indexBuffer,Nt.segments),qe.coordsIndex.push(be.tileID.key)}je.bindFramebuffer.set(null),je.viewport.set([0,0,se.width,se.height])}(this,this.style.map.terrain))}renderLayer(w,B,Q,ee){if(!Q.isHidden(this.transform.zoom)&&(Q.type===\"background\"||Q.type===\"custom\"||(ee||[]).length))switch(this.id=Q.id,Q.type){case\"symbol\":(function(se,qe,je,it,yt){if(se.renderPass!==\"translucent\")return;let Ot=$o.disabled,Nt=se.colorModeForRenderPass();(je._unevaluatedLayout.hasValue(\"text-variable-anchor\")||je._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(hr,Sr,he,be,Pe,Oe,Je,He,et){let Mt=Sr.transform,Dt=Gi(),Ut=Pe===\"map\",tr=Oe===\"map\";for(let mr of hr){let Rr=be.getTile(mr),zr=Rr.getBucket(he);if(!zr||!zr.text||!zr.text.segments.get().length)continue;let Xr=a.ag(zr.textSizeData,Mt.zoom),di=nn(Rr,1,Sr.transform.zoom),Li=Or(mr.posMatrix,tr,Ut,Sr.transform,di),Ci=he.layout.get(\"icon-text-fit\")!==\"none\"&&zr.hasIconData();if(Xr){let Qi=Math.pow(2,Mt.zoom-Rr.tileID.overscaledZ),Mn=Sr.style.map.terrain?(ea,Ga)=>Sr.style.map.terrain.getElevation(mr,ea,Ga):null,pa=Dt.translatePosition(Mt,Rr,Je,He);kf(zr,Ut,tr,et,Mt,Li,mr.posMatrix,Qi,Xr,Ci,Dt,pa,mr.toUnwrapped(),Mn)}}}(it,se,je,qe,je.layout.get(\"text-rotation-alignment\"),je.layout.get(\"text-pitch-alignment\"),je.paint.get(\"text-translate\"),je.paint.get(\"text-translate-anchor\"),yt),je.paint.get(\"icon-opacity\").constantOr(1)!==0&&Yh(se,qe,je,it,!1,je.paint.get(\"icon-translate\"),je.paint.get(\"icon-translate-anchor\"),je.layout.get(\"icon-rotation-alignment\"),je.layout.get(\"icon-pitch-alignment\"),je.layout.get(\"icon-keep-upright\"),Ot,Nt),je.paint.get(\"text-opacity\").constantOr(1)!==0&&Yh(se,qe,je,it,!0,je.paint.get(\"text-translate\"),je.paint.get(\"text-translate-anchor\"),je.layout.get(\"text-rotation-alignment\"),je.layout.get(\"text-pitch-alignment\"),je.layout.get(\"text-keep-upright\"),Ot,Nt),qe.map.showCollisionBoxes&&(tc(se,qe,je,it,!0),tc(se,qe,je,it,!1))})(w,B,Q,ee,this.style.placement.variableOffsets);break;case\"circle\":(function(se,qe,je,it){if(se.renderPass!==\"translucent\")return;let yt=je.paint.get(\"circle-opacity\"),Ot=je.paint.get(\"circle-stroke-width\"),Nt=je.paint.get(\"circle-stroke-opacity\"),hr=!je.layout.get(\"circle-sort-key\").isConstant();if(yt.constantOr(1)===0&&(Ot.constantOr(1)===0||Nt.constantOr(1)===0))return;let Sr=se.context,he=Sr.gl,be=se.depthModeForSublayer(0,wo.ReadOnly),Pe=$o.disabled,Oe=se.colorModeForRenderPass(),Je=[];for(let He=0;He<it.length;He++){let et=it[He],Mt=qe.getTile(et),Dt=Mt.getBucket(je);if(!Dt)continue;let Ut=Dt.programConfigurations.get(je.id),tr=se.useProgram(\"circle\",Ut),mr=Dt.layoutVertexBuffer,Rr=Dt.indexBuffer,zr=se.style.map.terrain&&se.style.map.terrain.getTerrainData(et),Xr={programConfiguration:Ut,program:tr,layoutVertexBuffer:mr,indexBuffer:Rr,uniformValues:go(se,et,Mt,je),terrainData:zr};if(hr){let di=Dt.segments.get();for(let Li of di)Je.push({segments:new a.a0([Li]),sortKey:Li.sortKey,state:Xr})}else Je.push({segments:Dt.segments,sortKey:0,state:Xr})}hr&&Je.sort((He,et)=>He.sortKey-et.sortKey);for(let He of Je){let{programConfiguration:et,program:Mt,layoutVertexBuffer:Dt,indexBuffer:Ut,uniformValues:tr,terrainData:mr}=He.state;Mt.draw(Sr,he.TRIANGLES,be,Pe,Oe,Ja.disabled,tr,mr,je.id,Dt,Ut,He.segments,je.paint,se.transform.zoom,et)}})(w,B,Q,ee);break;case\"heatmap\":(function(se,qe,je,it){if(je.paint.get(\"heatmap-opacity\")===0)return;let yt=se.context;if(se.style.map.terrain){for(let Ot of it){let Nt=qe.getTile(Ot);qe.hasRenderableParent(Ot)||(se.renderPass===\"offscreen\"?nh(se,Nt,je,Ot):se.renderPass===\"translucent\"&&hf(se,je,Ot))}yt.viewport.set([0,0,se.width,se.height])}else se.renderPass===\"offscreen\"?function(Ot,Nt,hr,Sr){let he=Ot.context,be=he.gl,Pe=$o.disabled,Oe=new Ps([be.ONE,be.ONE],a.aM.transparent,[!0,!0,!0,!0]);(function(Je,He,et){let Mt=Je.gl;Je.activeTexture.set(Mt.TEXTURE1),Je.viewport.set([0,0,He.width/4,He.height/4]);let Dt=et.heatmapFbos.get(a.aU);Dt?(Mt.bindTexture(Mt.TEXTURE_2D,Dt.colorAttachment.get()),Je.bindFramebuffer.set(Dt.framebuffer)):(Dt=kh(Je,He.width/4,He.height/4),et.heatmapFbos.set(a.aU,Dt))})(he,Ot,hr),he.clear({color:a.aM.transparent});for(let Je=0;Je<Sr.length;Je++){let He=Sr[Je];if(Nt.hasRenderableParent(He))continue;let et=Nt.getTile(He),Mt=et.getBucket(hr);if(!Mt)continue;let Dt=Mt.programConfigurations.get(hr.id),Ut=Ot.useProgram(\"heatmap\",Dt),{zoom:tr}=Ot.transform;Ut.draw(he,be.TRIANGLES,wo.disabled,Pe,Oe,Ja.disabled,xo(He.posMatrix,et,tr,hr.paint.get(\"heatmap-intensity\")),null,hr.id,Mt.layoutVertexBuffer,Mt.indexBuffer,Mt.segments,hr.paint,Ot.transform.zoom,Dt)}he.viewport.set([0,0,Ot.width,Ot.height])}(se,qe,je,it):se.renderPass===\"translucent\"&&function(Ot,Nt){let hr=Ot.context,Sr=hr.gl;hr.setColorMode(Ot.colorModeForRenderPass());let he=Nt.heatmapFbos.get(a.aU);he&&(hr.activeTexture.set(Sr.TEXTURE0),Sr.bindTexture(Sr.TEXTURE_2D,he.colorAttachment.get()),hr.activeTexture.set(Sr.TEXTURE1),Kh(hr,Nt).bind(Sr.LINEAR,Sr.CLAMP_TO_EDGE),Ot.useProgram(\"heatmapTexture\").draw(hr,Sr.TRIANGLES,wo.disabled,$o.disabled,Ot.colorModeForRenderPass(),Ja.disabled,zs(Ot,Nt,0,1),null,Nt.id,Ot.viewportBuffer,Ot.quadTriangleIndexBuffer,Ot.viewportSegments,Nt.paint,Ot.transform.zoom))}(se,je)})(w,B,Q,ee);break;case\"line\":(function(se,qe,je,it){if(se.renderPass!==\"translucent\")return;let yt=je.paint.get(\"line-opacity\"),Ot=je.paint.get(\"line-width\");if(yt.constantOr(1)===0||Ot.constantOr(1)===0)return;let Nt=se.depthModeForSublayer(0,wo.ReadOnly),hr=se.colorModeForRenderPass(),Sr=je.paint.get(\"line-dasharray\"),he=je.paint.get(\"line-pattern\"),be=he.constantOr(1),Pe=je.paint.get(\"line-gradient\"),Oe=je.getCrossfadeParameters(),Je=be?\"linePattern\":Sr?\"lineSDF\":Pe?\"lineGradient\":\"line\",He=se.context,et=He.gl,Mt=!0;for(let Dt of it){let Ut=qe.getTile(Dt);if(be&&!Ut.patternsLoaded())continue;let tr=Ut.getBucket(je);if(!tr)continue;let mr=tr.programConfigurations.get(je.id),Rr=se.context.program.get(),zr=se.useProgram(Je,mr),Xr=Mt||zr.program!==Rr,di=se.style.map.terrain&&se.style.map.terrain.getTerrainData(Dt),Li=he.constantOr(null);if(Li&&Ut.imageAtlas){let Mn=Ut.imageAtlas,pa=Mn.patternPositions[Li.to.toString()],ea=Mn.patternPositions[Li.from.toString()];pa&&ea&&mr.setConstantPatternPositions(pa,ea)}let Ci=di?Dt:null,Qi=be?wl(se,Ut,je,Oe,Ci):Sr?os(se,Ut,je,Sr,Oe,Ci):Pe?Xs(se,Ut,je,tr.lineClipsArray.length,Ci):Zs(se,Ut,je,Ci);if(be)He.activeTexture.set(et.TEXTURE0),Ut.imageAtlasTexture.bind(et.LINEAR,et.CLAMP_TO_EDGE),mr.updatePaintBuffers(Oe);else if(Sr&&(Xr||se.lineAtlas.dirty))He.activeTexture.set(et.TEXTURE0),se.lineAtlas.bind(He);else if(Pe){let Mn=tr.gradients[je.id],pa=Mn.texture;if(je.gradientVersion!==Mn.version){let ea=256;if(je.stepInterpolant){let Ga=qe.getSource().maxzoom,To=Dt.canonical.z===Ga?Math.ceil(1<<se.transform.maxZoom-Dt.canonical.z):1;ea=a.ac(a.aV(tr.maxLineLength/a.X*1024*To),256,He.maxTextureSize)}Mn.gradient=a.aW({expression:je.gradientExpression(),evaluationKey:\"lineProgress\",resolution:ea,image:Mn.gradient||void 0,clips:tr.lineClipsArray}),Mn.texture?Mn.texture.update(Mn.gradient):Mn.texture=new p(He,Mn.gradient,et.RGBA),Mn.version=je.gradientVersion,pa=Mn.texture}He.activeTexture.set(et.TEXTURE0),pa.bind(je.stepInterpolant?et.NEAREST:et.LINEAR,et.CLAMP_TO_EDGE)}zr.draw(He,et.TRIANGLES,Nt,se.stencilModeForClipping(Dt),hr,Ja.disabled,Qi,di,je.id,tr.layoutVertexBuffer,tr.indexBuffer,tr.segments,je.paint,se.transform.zoom,mr,tr.layoutVertexBuffer2),Mt=!1}})(w,B,Q,ee);break;case\"fill\":(function(se,qe,je,it){let yt=je.paint.get(\"fill-color\"),Ot=je.paint.get(\"fill-opacity\");if(Ot.constantOr(1)===0)return;let Nt=se.colorModeForRenderPass(),hr=je.paint.get(\"fill-pattern\"),Sr=se.opaquePassEnabledForLayer()&&!hr.constantOr(1)&&yt.constantOr(a.aM.transparent).a===1&&Ot.constantOr(0)===1?\"opaque\":\"translucent\";if(se.renderPass===Sr){let he=se.depthModeForSublayer(1,se.renderPass===\"opaque\"?wo.ReadWrite:wo.ReadOnly);ah(se,qe,je,it,he,Nt,!1)}if(se.renderPass===\"translucent\"&&je.paint.get(\"fill-antialias\")){let he=se.depthModeForSublayer(je.getPaintProperty(\"fill-outline-color\")?2:0,wo.ReadOnly);ah(se,qe,je,it,he,Nt,!0)}})(w,B,Q,ee);break;case\"fill-extrusion\":(function(se,qe,je,it){let yt=je.paint.get(\"fill-extrusion-opacity\");if(yt!==0&&se.renderPass===\"translucent\"){let Ot=new wo(se.context.gl.LEQUAL,wo.ReadWrite,se.depthRangeFor3D);if(yt!==1||je.paint.get(\"fill-extrusion-pattern\").constantOr(1))Wc(se,qe,je,it,Ot,$o.disabled,Ps.disabled),Wc(se,qe,je,it,Ot,se.stencilModeFor3D(),se.colorModeForRenderPass());else{let Nt=se.colorModeForRenderPass();Wc(se,qe,je,it,Ot,$o.disabled,Nt)}}})(w,B,Q,ee);break;case\"hillshade\":(function(se,qe,je,it){if(se.renderPass!==\"offscreen\"&&se.renderPass!==\"translucent\")return;let yt=se.context,Ot=se.depthModeForSublayer(0,wo.ReadOnly),Nt=se.colorModeForRenderPass(),[hr,Sr]=se.renderPass===\"translucent\"?se.stencilConfigForOverlap(it):[{},it];for(let he of Sr){let be=qe.getTile(he);be.needsHillshadePrepare!==void 0&&be.needsHillshadePrepare&&se.renderPass===\"offscreen\"?Cu(se,be,je,Ot,$o.disabled,Nt):se.renderPass===\"translucent\"&&df(se,he,be,je,Ot,hr[he.overscaledZ],Nt)}yt.viewport.set([0,0,se.width,se.height])})(w,B,Q,ee);break;case\"raster\":(function(se,qe,je,it){if(se.renderPass!==\"translucent\"||je.paint.get(\"raster-opacity\")===0||!it.length)return;let yt=se.context,Ot=yt.gl,Nt=qe.getSource(),hr=se.useProgram(\"raster\"),Sr=se.colorModeForRenderPass(),[he,be]=Nt instanceof Rt?[{},it]:se.stencilConfigForOverlap(it),Pe=be[be.length-1].overscaledZ,Oe=!se.options.moving;for(let Je of be){let He=se.depthModeForSublayer(Je.overscaledZ-Pe,je.paint.get(\"raster-opacity\")===1?wo.ReadWrite:wo.ReadOnly,Ot.LESS),et=qe.getTile(Je);et.registerFadeDuration(je.paint.get(\"raster-fade-duration\"));let Mt=qe.findLoadedParent(Je,0),Dt=qe.findLoadedSibling(Je),Ut=Nf(et,Mt||Dt||null,qe,je,se.transform,se.style.map.terrain),tr,mr,Rr=je.paint.get(\"raster-resampling\")===\"nearest\"?Ot.NEAREST:Ot.LINEAR;yt.activeTexture.set(Ot.TEXTURE0),et.texture.bind(Rr,Ot.CLAMP_TO_EDGE,Ot.LINEAR_MIPMAP_NEAREST),yt.activeTexture.set(Ot.TEXTURE1),Mt?(Mt.texture.bind(Rr,Ot.CLAMP_TO_EDGE,Ot.LINEAR_MIPMAP_NEAREST),tr=Math.pow(2,Mt.tileID.overscaledZ-et.tileID.overscaledZ),mr=[et.tileID.canonical.x*tr%1,et.tileID.canonical.y*tr%1]):et.texture.bind(Rr,Ot.CLAMP_TO_EDGE,Ot.LINEAR_MIPMAP_NEAREST),et.texture.useMipmap&&yt.extTextureFilterAnisotropic&&se.transform.pitch>20&&Ot.texParameterf(Ot.TEXTURE_2D,yt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,yt.extTextureFilterAnisotropicMax);let zr=se.style.map.terrain&&se.style.map.terrain.getTerrainData(Je),Xr=zr?Je:null,di=Xr?Xr.posMatrix:se.transform.calculatePosMatrix(Je.toUnwrapped(),Oe),Li=ml(di,mr||[0,0],tr||1,Ut,je);Nt instanceof Rt?hr.draw(yt,Ot.TRIANGLES,He,$o.disabled,Sr,Ja.disabled,Li,zr,je.id,Nt.boundsBuffer,se.quadTriangleIndexBuffer,Nt.boundsSegments):hr.draw(yt,Ot.TRIANGLES,He,he[Je.overscaledZ],Sr,Ja.disabled,Li,zr,je.id,se.rasterBoundsBuffer,se.quadTriangleIndexBuffer,se.rasterBoundsSegments)}})(w,B,Q,ee);break;case\"background\":(function(se,qe,je,it){let yt=je.paint.get(\"background-color\"),Ot=je.paint.get(\"background-opacity\");if(Ot===0)return;let Nt=se.context,hr=Nt.gl,Sr=se.transform,he=Sr.tileSize,be=je.paint.get(\"background-pattern\");if(se.isPatternMissing(be))return;let Pe=!be&&yt.a===1&&Ot===1&&se.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(se.renderPass!==Pe)return;let Oe=$o.disabled,Je=se.depthModeForSublayer(0,Pe===\"opaque\"?wo.ReadWrite:wo.ReadOnly),He=se.colorModeForRenderPass(),et=se.useProgram(be?\"backgroundPattern\":\"background\"),Mt=it||Sr.coveringTiles({tileSize:he,terrain:se.style.map.terrain});be&&(Nt.activeTexture.set(hr.TEXTURE0),se.imageManager.bind(se.context));let Dt=je.getCrossfadeParameters();for(let Ut of Mt){let tr=it?Ut.posMatrix:se.transform.calculatePosMatrix(Ut.toUnwrapped()),mr=be?Hu(tr,Ot,se,be,{tileID:Ut,tileSize:he},Dt):$l(tr,Ot,yt),Rr=se.style.map.terrain&&se.style.map.terrain.getTerrainData(Ut);et.draw(Nt,hr.TRIANGLES,Je,Oe,He,Ja.disabled,mr,Rr,je.id,se.tileExtentBuffer,se.quadTriangleIndexBuffer,se.tileExtentSegments)}})(w,0,Q,ee);break;case\"custom\":(function(se,qe,je){let it=se.context,yt=je.implementation;if(se.renderPass===\"offscreen\"){let Ot=yt.prerender;Ot&&(se.setCustomLayerDefaults(),it.setColorMode(se.colorModeForRenderPass()),Ot.call(yt,it.gl,se.transform.customLayerMatrix()),it.setDirty(),se.setBaseState())}else if(se.renderPass===\"translucent\"){se.setCustomLayerDefaults(),it.setColorMode(se.colorModeForRenderPass()),it.setStencilMode($o.disabled);let Ot=yt.renderingMode===\"3d\"?new wo(se.context.gl.LEQUAL,wo.ReadWrite,se.depthRangeFor3D):se.depthModeForSublayer(0,wo.ReadOnly);it.setDepthMode(Ot),yt.render(it.gl,se.transform.customLayerMatrix(),{farZ:se.transform.farZ,nearZ:se.transform.nearZ,fov:se.transform._fov,modelViewProjectionMatrix:se.transform.modelViewProjectionMatrix,projectionMatrix:se.transform.projectionMatrix}),it.setDirty(),se.setBaseState(),it.bindFramebuffer.set(null)}})(w,0,Q)}}translatePosMatrix(w,B,Q,ee,se){if(!Q[0]&&!Q[1])return w;let qe=se?ee===\"map\"?this.transform.angle:0:ee===\"viewport\"?-this.transform.angle:0;if(qe){let yt=Math.sin(qe),Ot=Math.cos(qe);Q=[Q[0]*Ot-Q[1]*yt,Q[0]*yt+Q[1]*Ot]}let je=[se?Q[0]:nn(B,Q[0],this.transform.zoom),se?Q[1]:nn(B,Q[1],this.transform.zoom),0],it=new Float32Array(16);return a.J(it,w,je),it}saveTileTexture(w){let B=this._tileTextures[w.size[0]];B?B.push(w):this._tileTextures[w.size[0]]=[w]}getTileTexture(w){let B=this._tileTextures[w];return B&&B.length>0?B.pop():null}isPatternMissing(w){if(!w)return!1;if(!w.from||!w.to)return!0;let B=this.imageManager.getPattern(w.from.toString()),Q=this.imageManager.getPattern(w.to.toString());return!B||!Q}useProgram(w,B){this.cache=this.cache||{};let Q=w+(B?B.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[Q]||(this.cache[Q]=new zi(this.context,xn[w],B,fc[w],this._showOverdrawInspector,this.style.map.terrain)),this.cache[Q]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){let w=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(w.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new p(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:w,drawingBufferHeight:B}=this.context.gl;return this.width!==w||this.height!==B}}class fl{constructor(w,B){this.points=w,this.planes=B}static fromInvProjectionMatrix(w,B,Q){let ee=Math.pow(2,Q),se=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map(je=>{let it=1/(je=a.af([],je,w))[3]/B*ee;return a.b1(je,je,[it,it,1/je[3],it])}),qe=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(je=>{let it=function(hr,Sr){var he=Sr[0],be=Sr[1],Pe=Sr[2],Oe=he*he+be*be+Pe*Pe;return Oe>0&&(Oe=1/Math.sqrt(Oe)),hr[0]=Sr[0]*Oe,hr[1]=Sr[1]*Oe,hr[2]=Sr[2]*Oe,hr}([],function(hr,Sr,he){var be=Sr[0],Pe=Sr[1],Oe=Sr[2],Je=he[0],He=he[1],et=he[2];return hr[0]=Pe*et-Oe*He,hr[1]=Oe*Je-be*et,hr[2]=be*He-Pe*Je,hr}([],L([],se[je[0]],se[je[1]]),L([],se[je[2]],se[je[1]]))),yt=-((Ot=it)[0]*(Nt=se[je[1]])[0]+Ot[1]*Nt[1]+Ot[2]*Nt[2]);var Ot,Nt;return it.concat(yt)});return new fl(se,qe)}}class Xc{constructor(w,B){this.min=w,this.max=B,this.center=function(Q,ee,se){return Q[0]=.5*ee[0],Q[1]=.5*ee[1],Q[2]=.5*ee[2],Q}([],function(Q,ee,se){return Q[0]=ee[0]+se[0],Q[1]=ee[1]+se[1],Q[2]=ee[2]+se[2],Q}([],this.min,this.max))}quadrant(w){let B=[w%2==0,w<2],Q=k(this.min),ee=k(this.max);for(let se=0;se<B.length;se++)Q[se]=B[se]?this.min[se]:this.center[se],ee[se]=B[se]?this.center[se]:this.max[se];return ee[2]=this.max[2],new Xc(Q,ee)}distanceX(w){return Math.max(Math.min(this.max[0],w[0]),this.min[0])-w[0]}distanceY(w){return Math.max(Math.min(this.max[1],w[1]),this.min[1])-w[1]}intersects(w){let B=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]],Q=!0;for(let ee=0;ee<w.planes.length;ee++){let se=w.planes[ee],qe=0;for(let je=0;je<B.length;je++)a.b2(se,B[je])>=0&&qe++;if(qe===0)return 0;qe!==B.length&&(Q=!1)}if(Q)return 2;for(let ee=0;ee<3;ee++){let se=Number.MAX_VALUE,qe=-Number.MAX_VALUE;for(let je=0;je<w.points.length;je++){let it=w.points[je][ee]-this.min[ee];se=Math.min(se,it),qe=Math.max(qe,it)}if(qe<0||se>this.max[ee]-this.min[ee])return 0}return 1}}class ic{constructor(w=0,B=0,Q=0,ee=0){if(isNaN(w)||w<0||isNaN(B)||B<0||isNaN(Q)||Q<0||isNaN(ee)||ee<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=w,this.bottom=B,this.left=Q,this.right=ee}interpolate(w,B,Q){return B.top!=null&&w.top!=null&&(this.top=a.y.number(w.top,B.top,Q)),B.bottom!=null&&w.bottom!=null&&(this.bottom=a.y.number(w.bottom,B.bottom,Q)),B.left!=null&&w.left!=null&&(this.left=a.y.number(w.left,B.left,Q)),B.right!=null&&w.right!=null&&(this.right=a.y.number(w.right,B.right,Q)),this}getCenter(w,B){let Q=a.ac((this.left+w-this.right)/2,0,w),ee=a.ac((this.top+B-this.bottom)/2,0,B);return new a.P(Q,ee)}equals(w){return this.top===w.top&&this.bottom===w.bottom&&this.left===w.left&&this.right===w.right}clone(){return new ic(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let yu=85.051129;class Qs{constructor(w,B,Q,ee,se){this.tileSize=512,this._renderWorldCopies=se===void 0||!!se,this._minZoom=w||0,this._maxZoom=B||22,this._minPitch=Q==null?0:Q,this._maxPitch=ee==null?60:ee,this.setMaxBounds(),this.width=0,this.height=0,this._center=new a.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new ic,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let w=new Qs(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return w.apply(this),w}apply(w){this.tileSize=w.tileSize,this.latRange=w.latRange,this.lngRange=w.lngRange,this.width=w.width,this.height=w.height,this._center=w._center,this._elevation=w._elevation,this.minElevationForCurrentTile=w.minElevationForCurrentTile,this.zoom=w.zoom,this.angle=w.angle,this._fov=w._fov,this._pitch=w._pitch,this._unmodified=w._unmodified,this._edgeInsets=w._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(w){this._minZoom!==w&&(this._minZoom=w,this.zoom=Math.max(this.zoom,w))}get maxZoom(){return this._maxZoom}set maxZoom(w){this._maxZoom!==w&&(this._maxZoom=w,this.zoom=Math.min(this.zoom,w))}get minPitch(){return this._minPitch}set minPitch(w){this._minPitch!==w&&(this._minPitch=w,this.pitch=Math.max(this.pitch,w))}get maxPitch(){return this._maxPitch}set maxPitch(w){this._maxPitch!==w&&(this._maxPitch=w,this.pitch=Math.min(this.pitch,w))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(w){w===void 0?w=!0:w===null&&(w=!1),this._renderWorldCopies=w}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new a.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(w){let B=-a.b3(w,-180,180)*Math.PI/180;this.angle!==B&&(this._unmodified=!1,this.angle=B,this._calcMatrices(),this.rotationMatrix=function(){var Q=new a.A(4);return a.A!=Float32Array&&(Q[1]=0,Q[2]=0),Q[0]=1,Q[3]=1,Q}(),function(Q,ee,se){var qe=ee[0],je=ee[1],it=ee[2],yt=ee[3],Ot=Math.sin(se),Nt=Math.cos(se);Q[0]=qe*Nt+it*Ot,Q[1]=je*Nt+yt*Ot,Q[2]=qe*-Ot+it*Nt,Q[3]=je*-Ot+yt*Nt}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(w){let B=a.ac(w,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==B&&(this._unmodified=!1,this._pitch=B,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(w){w=Math.max(.01,Math.min(60,w)),this._fov!==w&&(this._unmodified=!1,this._fov=w/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(w){let B=Math.min(Math.max(w,this.minZoom),this.maxZoom);this._zoom!==B&&(this._unmodified=!1,this._zoom=B,this.tileZoom=Math.max(0,Math.floor(B)),this.scale=this.zoomScale(B),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(w){w.lat===this._center.lat&&w.lng===this._center.lng||(this._unmodified=!1,this._center=w,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(w){w!==this._elevation&&(this._elevation=w,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(w){this._edgeInsets.equals(w)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,w,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(w){return this._edgeInsets.equals(w)}interpolatePadding(w,B,Q){this._unmodified=!1,this._edgeInsets.interpolate(w,B,Q),this._constrain(),this._calcMatrices()}coveringZoomLevel(w){let B=(w.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/w.tileSize));return Math.max(0,B)}getVisibleUnwrappedCoordinates(w){let B=[new a.b4(0,w)];if(this._renderWorldCopies){let Q=this.pointCoordinate(new a.P(0,0)),ee=this.pointCoordinate(new a.P(this.width,0)),se=this.pointCoordinate(new a.P(this.width,this.height)),qe=this.pointCoordinate(new a.P(0,this.height)),je=Math.floor(Math.min(Q.x,ee.x,se.x,qe.x)),it=Math.floor(Math.max(Q.x,ee.x,se.x,qe.x)),yt=1;for(let Ot=je-yt;Ot<=it+yt;Ot++)Ot!==0&&B.push(new a.b4(Ot,w))}return B}coveringTiles(w){var B,Q;let ee=this.coveringZoomLevel(w),se=ee;if(w.minzoom!==void 0&&ee<w.minzoom)return[];w.maxzoom!==void 0&&ee>w.maxzoom&&(ee=w.maxzoom);let qe=this.pointCoordinate(this.getCameraPoint()),je=a.Z.fromLngLat(this.center),it=Math.pow(2,ee),yt=[it*qe.x,it*qe.y,0],Ot=[it*je.x,it*je.y,0],Nt=fl.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,ee),hr=w.minzoom||0;!w.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(hr=ee);let Sr=w.terrain?2/Math.min(this.tileSize,w.tileSize)*this.tileSize:3,he=He=>({aabb:new Xc([He*it,0,0],[(He+1)*it,it,0]),zoom:0,x:0,y:0,wrap:He,fullyVisible:!1}),be=[],Pe=[],Oe=ee,Je=w.reparseOverscaled?se:ee;if(this._renderWorldCopies)for(let He=1;He<=3;He++)be.push(he(-He)),be.push(he(He));for(be.push(he(0));be.length>0;){let He=be.pop(),et=He.x,Mt=He.y,Dt=He.fullyVisible;if(!Dt){let zr=He.aabb.intersects(Nt);if(zr===0)continue;Dt=zr===2}let Ut=w.terrain?yt:Ot,tr=He.aabb.distanceX(Ut),mr=He.aabb.distanceY(Ut),Rr=Math.max(Math.abs(tr),Math.abs(mr));if(He.zoom===Oe||Rr>Sr+(1<<Oe-He.zoom)-2&&He.zoom>=hr){let zr=Oe-He.zoom,Xr=yt[0]-.5-(et<<zr),di=yt[1]-.5-(Mt<<zr);Pe.push({tileID:new a.S(He.zoom===Oe?Je:He.zoom,He.wrap,He.zoom,et,Mt),distanceSq:_([Ot[0]-.5-et,Ot[1]-.5-Mt]),tileDistanceToCamera:Math.sqrt(Xr*Xr+di*di)})}else for(let zr=0;zr<4;zr++){let Xr=(et<<1)+zr%2,di=(Mt<<1)+(zr>>1),Li=He.zoom+1,Ci=He.aabb.quadrant(zr);if(w.terrain){let Qi=new a.S(Li,He.wrap,Li,Xr,di),Mn=w.terrain.getMinMaxElevation(Qi),pa=(B=Mn.minElevation)!==null&&B!==void 0?B:this.elevation,ea=(Q=Mn.maxElevation)!==null&&Q!==void 0?Q:this.elevation;Ci=new Xc([Ci.min[0],Ci.min[1],pa],[Ci.max[0],Ci.max[1],ea])}be.push({aabb:Ci,zoom:Li,x:Xr,y:di,wrap:He.wrap,fullyVisible:Dt})}}return Pe.sort((He,et)=>He.distanceSq-et.distanceSq).map(He=>He.tileID)}resize(w,B){this.width=w,this.height=B,this.pixelsToGLUnits=[2/w,-2/B],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(w){return Math.pow(2,w)}scaleZoom(w){return Math.log(w)/Math.LN2}project(w){let B=a.ac(w.lat,-85.051129,yu);return new a.P(a.O(w.lng)*this.worldSize,a.Q(B)*this.worldSize)}unproject(w){return new a.Z(w.x/this.worldSize,w.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(w){let B=this.elevation,Q=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,ee=this.pointLocation(this.centerPoint,w),se=w.getElevationForLngLatZoom(ee,this.tileZoom);if(!(this.elevation-se))return;let qe=Q+B-se,je=Math.cos(this._pitch)*this.cameraToCenterDistance/qe/a.b5(1,ee.lat),it=this.scaleZoom(je/this.tileSize);this._elevation=se,this._center=ee,this.zoom=it}setLocationAtPoint(w,B){let Q=this.pointCoordinate(B),ee=this.pointCoordinate(this.centerPoint),se=this.locationCoordinate(w),qe=new a.Z(se.x-(Q.x-ee.x),se.y-(Q.y-ee.y));this.center=this.coordinateLocation(qe),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(w,B){return B?this.coordinatePoint(this.locationCoordinate(w),B.getElevationForLngLatZoom(w,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(w))}pointLocation(w,B){return this.coordinateLocation(this.pointCoordinate(w,B))}locationCoordinate(w){return a.Z.fromLngLat(w)}coordinateLocation(w){return w&&w.toLngLat()}pointCoordinate(w,B){if(B){let hr=B.pointCoordinate(w);if(hr!=null)return hr}let Q=[w.x,w.y,0,1],ee=[w.x,w.y,1,1];a.af(Q,Q,this.pixelMatrixInverse),a.af(ee,ee,this.pixelMatrixInverse);let se=Q[3],qe=ee[3],je=Q[1]/se,it=ee[1]/qe,yt=Q[2]/se,Ot=ee[2]/qe,Nt=yt===Ot?0:(0-yt)/(Ot-yt);return new a.Z(a.y.number(Q[0]/se,ee[0]/qe,Nt)/this.worldSize,a.y.number(je,it,Nt)/this.worldSize)}coordinatePoint(w,B=0,Q=this.pixelMatrix){let ee=[w.x*this.worldSize,w.y*this.worldSize,B,1];return a.af(ee,ee,Q),new a.P(ee[0]/ee[3],ee[1]/ee[3])}getBounds(){let w=Math.max(0,this.height/2-this.getHorizon());return new ce().extend(this.pointLocation(new a.P(0,w))).extend(this.pointLocation(new a.P(this.width,w))).extend(this.pointLocation(new a.P(this.width,this.height))).extend(this.pointLocation(new a.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new ce([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(w){w?(this.lngRange=[w.getWest(),w.getEast()],this.latRange=[w.getSouth(),w.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,yu])}calculateTileMatrix(w){let B=w.canonical,Q=this.worldSize/this.zoomScale(B.z),ee=B.x+Math.pow(2,B.z)*w.wrap,se=a.an(new Float64Array(16));return a.J(se,se,[ee*Q,B.y*Q,0]),a.K(se,se,[Q/a.X,Q/a.X,1]),se}calculatePosMatrix(w,B=!1){let Q=w.key,ee=B?this._alignedPosMatrixCache:this._posMatrixCache;if(ee[Q])return ee[Q];let se=this.calculateTileMatrix(w);return a.L(se,B?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,se),ee[Q]=new Float32Array(se),ee[Q]}calculateFogMatrix(w){let B=w.key,Q=this._fogMatrixCache;if(Q[B])return Q[B];let ee=this.calculateTileMatrix(w);return a.L(ee,this.fogMatrix,ee),Q[B]=new Float32Array(ee),Q[B]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(w,B){B=a.ac(+B,this.minZoom,this.maxZoom);let Q={center:new a.N(w.lng,w.lat),zoom:B},ee=this.lngRange;if(!this._renderWorldCopies&&ee===null){let He=179.9999999999;ee=[-He,He]}let se=this.tileSize*this.zoomScale(Q.zoom),qe=0,je=se,it=0,yt=se,Ot=0,Nt=0,{x:hr,y:Sr}=this.size;if(this.latRange){let He=this.latRange;qe=a.Q(He[1])*se,je=a.Q(He[0])*se,je-qe<Sr&&(Ot=Sr/(je-qe))}ee&&(it=a.b3(a.O(ee[0])*se,0,se),yt=a.b3(a.O(ee[1])*se,0,se),yt<it&&(yt+=se),yt-it<hr&&(Nt=hr/(yt-it)));let{x:he,y:be}=this.project.call({worldSize:se},w),Pe,Oe,Je=Math.max(Nt||0,Ot||0);if(Je){let He=new a.P(Nt?(yt+it)/2:he,Ot?(je+qe)/2:be);return Q.center=this.unproject.call({worldSize:se},He).wrap(),Q.zoom+=this.scaleZoom(Je),Q}if(this.latRange){let He=Sr/2;be-He<qe&&(Oe=qe+He),be+He>je&&(Oe=je-He)}if(ee){let He=(it+yt)/2,et=he;this._renderWorldCopies&&(et=a.b3(he,He-se/2,He+se/2));let Mt=hr/2;et-Mt<it&&(Pe=it+Mt),et+Mt>yt&&(Pe=yt-Mt)}if(Pe!==void 0||Oe!==void 0){let He=new a.P(Pe!=null?Pe:he,Oe!=null?Oe:be);Q.center=this.unproject.call({worldSize:se},He).wrap()}return Q}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let w=this._unmodified,{center:B,zoom:Q}=this.getConstrained(this.center,this.zoom);this.center=B,this.zoom=Q,this._unmodified=w,this._constraining=!1}_calcMatrices(){if(!this.height)return;let w=this.centerOffset,B=this.point.x,Q=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=a.b5(1,this.center.lat)*this.worldSize;let ee=a.an(new Float64Array(16));a.K(ee,ee,[this.width/2,-this.height/2,1]),a.J(ee,ee,[1,-1,0]),this.labelPlaneMatrix=ee,ee=a.an(new Float64Array(16)),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[-1,-1,0]),a.K(ee,ee,[2/this.width,2/this.height,1]),this.glCoordMatrix=ee;let se=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),qe=Math.min(this.elevation,this.minElevationForCurrentTile),je=se-qe*this._pixelPerMeter/Math.cos(this._pitch),it=qe<0?je:se,yt=Math.PI/2+this._pitch,Ot=this._fov*(.5+w.y/this.height),Nt=Math.sin(Ot)*it/Math.sin(a.ac(Math.PI-yt-Ot,.01,Math.PI-.01)),hr=this.getHorizon(),Sr=2*Math.atan(hr/this.cameraToCenterDistance)*(.5+w.y/(2*hr)),he=Math.sin(Sr)*it/Math.sin(a.ac(Math.PI-yt-Sr,.01,Math.PI-.01)),be=Math.min(Nt,he);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*be+it),this.nearZ=this.height/50,ee=new Float64Array(16),a.b6(ee,this._fov,this.width/this.height,this.nearZ,this.farZ),ee[8]=2*-w.x/this.width,ee[9]=2*w.y/this.height,this.projectionMatrix=a.ae(ee),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[0,0,-this.cameraToCenterDistance]),a.b7(ee,ee,this._pitch),a.ad(ee,ee,this.angle),a.J(ee,ee,[-B,-Q,0]),this.mercatorMatrix=a.K([],ee,[this.worldSize,this.worldSize,this.worldSize]),a.K(ee,ee,[1,1,this._pixelPerMeter]),this.pixelMatrix=a.L(new Float64Array(16),this.labelPlaneMatrix,ee),a.J(ee,ee,[0,0,-this.elevation]),this.modelViewProjectionMatrix=ee,this.invModelViewProjectionMatrix=a.as([],ee),this.fogMatrix=new Float64Array(16),a.b6(this.fogMatrix,this._fov,this.width/this.height,se,this.farZ),this.fogMatrix[8]=2*-w.x/this.width,this.fogMatrix[9]=2*w.y/this.height,a.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),a.b7(this.fogMatrix,this.fogMatrix,this._pitch),a.ad(this.fogMatrix,this.fogMatrix,this.angle),a.J(this.fogMatrix,this.fogMatrix,[-B,-Q,0]),a.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=a.L(new Float64Array(16),this.labelPlaneMatrix,ee);let Pe=this.width%2/2,Oe=this.height%2/2,Je=Math.cos(this.angle),He=Math.sin(this.angle),et=B-Math.round(B)+Je*Pe+He*Oe,Mt=Q-Math.round(Q)+Je*Oe+He*Pe,Dt=new Float64Array(ee);if(a.J(Dt,Dt,[et>.5?et-1:et,Mt>.5?Mt-1:Mt,0]),this.alignedModelViewProjectionMatrix=Dt,ee=a.as(new Float64Array(16),this.pixelMatrix),!ee)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=ee,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let w=this.pointCoordinate(new a.P(0,0)),B=[w.x*this.worldSize,w.y*this.worldSize,0,1];return a.af(B,B,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let w=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new a.P(0,w))}getCameraQueryGeometry(w){let B=this.getCameraPoint();if(w.length===1)return[w[0],B];{let Q=B.x,ee=B.y,se=B.x,qe=B.y;for(let je of w)Q=Math.min(Q,je.x),ee=Math.min(ee,je.y),se=Math.max(se,je.x),qe=Math.max(qe,je.y);return[new a.P(Q,ee),new a.P(se,ee),new a.P(se,qe),new a.P(Q,qe),new a.P(Q,ee)]}}lngLatToCameraDepth(w,B){let Q=this.locationCoordinate(w),ee=[Q.x*this.worldSize,Q.y*this.worldSize,B,1];return a.af(ee,ee,this.modelViewProjectionMatrix),ee[2]/ee[3]}}function Qh(le,w){let B,Q=!1,ee=null,se=null,qe=()=>{ee=null,Q&&(le.apply(se,B),ee=setTimeout(qe,w),Q=!1)};return(...je)=>(Q=!0,se=this,B=je,ee||qe(),ee)}class gd{constructor(w){this._getCurrentHash=()=>{let B=window.location.hash.replace(\"#\",\"\");if(this._hashName){let Q;return B.split(\"&\").map(ee=>ee.split(\"=\")).forEach(ee=>{ee[0]===this._hashName&&(Q=ee)}),(Q&&Q[1]||\"\").split(\"/\")}return B.split(\"/\")},this._onHashChange=()=>{let B=this._getCurrentHash();if(B.length>=3&&!B.some(Q=>isNaN(Q))){let Q=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(B[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+B[2],+B[1]],zoom:+B[0],bearing:Q,pitch:+(B[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let B=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,B)},this._removeHash=()=>{let B=this._getCurrentHash();if(B.length===0)return;let Q=B.join(\"/\"),ee=Q;ee.split(\"&\").length>0&&(ee=ee.split(\"&\")[0]),this._hashName&&(ee=`${this._hashName}=${Q}`);let se=window.location.hash.replace(ee,\"\");se.startsWith(\"#&\")?se=se.slice(0,1)+se.slice(2):se===\"#\"&&(se=\"\");let qe=window.location.href.replace(/(#.+)?$/,se);qe=qe.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,qe)},this._updateHash=Qh(this._updateHashUnthrottled,300),this._hashName=w&&encodeURIComponent(w)}addTo(w){return this._map=w,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(w){let B=this._map.getCenter(),Q=Math.round(100*this._map.getZoom())/100,ee=Math.ceil((Q*Math.LN2+Math.log(512/360/.5))/Math.LN10),se=Math.pow(10,ee),qe=Math.round(B.lng*se)/se,je=Math.round(B.lat*se)/se,it=this._map.getBearing(),yt=this._map.getPitch(),Ot=\"\";if(Ot+=w?`/${qe}/${je}/${Q}`:`${Q}/${je}/${qe}`,(it||yt)&&(Ot+=\"/\"+Math.round(10*it)/10),yt&&(Ot+=`/${Math.round(yt)}`),this._hashName){let Nt=this._hashName,hr=!1,Sr=window.location.hash.slice(1).split(\"&\").map(he=>{let be=he.split(\"=\")[0];return be===Nt?(hr=!0,`${be}=${Ot}`):he}).filter(he=>he);return hr||Sr.push(`${Nt}=${Ot}`),`#${Sr.join(\"&\")}`}return`#${Ot}`}}let Gu={linearity:.3,easing:a.b8(0,0,.3,1)},Pc=a.e({deceleration:2500,maxSpeed:1400},Gu),vc=a.e({deceleration:20,maxSpeed:1400},Gu),sv=a.e({deceleration:1e3,maxSpeed:360},Gu),Lf=a.e({deceleration:1e3,maxSpeed:90},Gu);class Uf{constructor(w){this._map=w,this.clear()}clear(){this._inertiaBuffer=[]}record(w){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:u.now(),settings:w})}_drainInertiaBuffer(){let w=this._inertiaBuffer,B=u.now();for(;w.length>0&&B-w[0].time>160;)w.shift()}_onMoveEnd(w){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let B={zoom:0,bearing:0,pitch:0,pan:new a.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:se}of this._inertiaBuffer)B.zoom+=se.zoomDelta||0,B.bearing+=se.bearingDelta||0,B.pitch+=se.pitchDelta||0,se.panDelta&&B.pan._add(se.panDelta),se.around&&(B.around=se.around),se.pinchAround&&(B.pinchAround=se.pinchAround);let Q=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,ee={};if(B.pan.mag()){let se=oh(B.pan.mag(),Q,a.e({},Pc,w||{}));ee.offset=B.pan.mult(se.amount/B.pan.mag()),ee.center=this._map.transform.center,Iu(ee,se)}if(B.zoom){let se=oh(B.zoom,Q,vc);ee.zoom=this._map.transform.zoom+se.amount,Iu(ee,se)}if(B.bearing){let se=oh(B.bearing,Q,sv);ee.bearing=this._map.transform.bearing+a.ac(se.amount,-179,179),Iu(ee,se)}if(B.pitch){let se=oh(B.pitch,Q,Lf);ee.pitch=this._map.transform.pitch+se.amount,Iu(ee,se)}if(ee.zoom||ee.bearing){let se=B.pinchAround===void 0?B.around:B.pinchAround;ee.around=se?this._map.unproject(se):this._map.getCenter()}return this.clear(),a.e(ee,{noMoveStart:!0})}}function Iu(le,w){(!le.duration||le.duration<w.duration)&&(le.duration=w.duration,le.easing=w.easing)}function oh(le,w,B){let{maxSpeed:Q,linearity:ee,deceleration:se}=B,qe=a.ac(le*ee/(w/1e3),-Q,Q),je=Math.abs(qe)/(se*ee);return{easing:B.easing,duration:1e3*je,amount:qe*(je/2)}}class tu extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q,ee={}){let se=c.mousePos(B.getCanvas(),Q),qe=B.unproject(se);super(w,a.e({point:se,lngLat:qe,originalEvent:Q},ee)),this._defaultPrevented=!1,this.target=B}}class vf extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){let ee=w===\"touchend\"?Q.changedTouches:Q.touches,se=c.touchPos(B.getCanvasContainer(),ee),qe=se.map(it=>B.unproject(it)),je=se.reduce((it,yt,Ot,Nt)=>it.add(yt.div(Nt.length)),new a.P(0,0));super(w,{points:se,point:je,lngLats:qe,lngLat:B.unproject(je),originalEvent:Q}),this._defaultPrevented=!1}}class md extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){super(w,{originalEvent:Q}),this._defaultPrevented=!1}}class sh{constructor(w,B){this._map=w,this._clickTolerance=B.clickTolerance}reset(){delete this._mousedownPos}wheel(w){return this._firePreventable(new md(w.type,this._map,w))}mousedown(w,B){return this._mousedownPos=B,this._firePreventable(new tu(w.type,this._map,w))}mouseup(w){this._map.fire(new tu(w.type,this._map,w))}click(w,B){this._mousedownPos&&this._mousedownPos.dist(B)>=this._clickTolerance||this._map.fire(new tu(w.type,this._map,w))}dblclick(w){return this._firePreventable(new tu(w.type,this._map,w))}mouseover(w){this._map.fire(new tu(w.type,this._map,w))}mouseout(w){this._map.fire(new tu(w.type,this._map,w))}touchstart(w){return this._firePreventable(new vf(w.type,this._map,w))}touchmove(w){this._map.fire(new vf(w.type,this._map,w))}touchend(w){this._map.fire(new vf(w.type,this._map,w))}touchcancel(w){this._map.fire(new vf(w.type,this._map,w))}_firePreventable(w){if(this._map.fire(w),w.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Fs{constructor(w){this._map=w}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(w){this._map.fire(new tu(w.type,this._map,w))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new tu(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(w){this._delayContextMenu?this._contextMenuEvent=w:this._ignoreContextMenu||this._map.fire(new tu(w.type,this._map,w)),this._map.listens(\"contextmenu\")&&w.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class _u{constructor(w){this._map=w}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(w){return this.transform.pointLocation(a.P.convert(w),this._map.terrain)}}class xu{constructor(w,B){this._map=w,this._tr=new _u(w),this._el=w.getCanvasContainer(),this._container=w.getContainer(),this._clickTolerance=B.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(w,B){this.isEnabled()&&w.shiftKey&&w.button===0&&(c.disableDrag(),this._startPos=this._lastPos=B,this._active=!0)}mousemoveWindow(w,B){if(!this._active)return;let Q=B;if(this._lastPos.equals(Q)||!this._box&&Q.dist(this._startPos)<this._clickTolerance)return;let ee=this._startPos;this._lastPos=Q,this._box||(this._box=c.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",w));let se=Math.min(ee.x,Q.x),qe=Math.max(ee.x,Q.x),je=Math.min(ee.y,Q.y),it=Math.max(ee.y,Q.y);c.setTransform(this._box,`translate(${se}px,${je}px)`),this._box.style.width=qe-se+\"px\",this._box.style.height=it-je+\"px\"}mouseupWindow(w,B){if(!this._active||w.button!==0)return;let Q=this._startPos,ee=B;if(this.reset(),c.suppressClick(),Q.x!==ee.x||Q.y!==ee.y)return this._map.fire(new a.k(\"boxzoomend\",{originalEvent:w})),{cameraAnimation:se=>se.fitScreenCoordinates(Q,ee,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",w)}keydown(w){this._active&&w.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",w))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(c.remove(this._box),this._box=null),c.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(w,B){return this._map.fire(new a.k(w,{originalEvent:B}))}}function Lh(le,w){if(le.length!==w.length)throw new Error(`The number of touches and points are not equal - touches ${le.length}, points ${w.length}`);let B={};for(let Q=0;Q<le.length;Q++)B[le[Q].identifier]=w[Q];return B}class Is{constructor(w){this.reset(),this.numTouches=w.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(w,B,Q){(this.centroid||Q.length>this.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=w.timeStamp),Q.length===this.numTouches&&(this.centroid=function(ee){let se=new a.P(0,0);for(let qe of ee)se._add(qe);return se.div(ee.length)}(B),this.touches=Lh(Q,B)))}touchmove(w,B,Q){if(this.aborted||!this.centroid)return;let ee=Lh(Q,B);for(let se in this.touches){let qe=ee[se];(!qe||qe.dist(this.touches[se])>30)&&(this.aborted=!0)}}touchend(w,B,Q){if((!this.centroid||w.timeStamp-this.startTime>500)&&(this.aborted=!0),Q.length===0){let ee=!this.aborted&&this.centroid;if(this.reset(),ee)return ee}}}class Pf{constructor(w){this.singleTap=new Is(w),this.numTaps=w.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(w,B,Q){this.singleTap.touchstart(w,B,Q)}touchmove(w,B,Q){this.singleTap.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this.singleTap.touchend(w,B,Q);if(ee){let se=w.timeStamp-this.lastTime<500,qe=!this.lastTap||this.lastTap.dist(ee)<30;if(se&&qe||this.reset(),this.count++,this.lastTime=w.timeStamp,this.lastTap=ee,this.count===this.numTaps)return this.reset(),ee}}}class Ic{constructor(w){this._tr=new _u(w),this._zoomIn=new Pf({numTouches:1,numTaps:2}),this._zoomOut=new Pf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(w,B,Q){this._zoomIn.touchstart(w,B,Q),this._zoomOut.touchstart(w,B,Q)}touchmove(w,B,Q){this._zoomIn.touchmove(w,B,Q),this._zoomOut.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this._zoomIn.touchend(w,B,Q),se=this._zoomOut.touchend(w,B,Q),qe=this._tr;return ee?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:je=>je.easeTo({duration:300,zoom:qe.zoom+1,around:qe.unproject(ee)},{originalEvent:w})}):se?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:je=>je.easeTo({duration:300,zoom:qe.zoom-1,around:qe.unproject(se)},{originalEvent:w})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ju{constructor(w){this._enabled=!!w.enable,this._moveStateManager=w.moveStateManager,this._clickTolerance=w.clickTolerance||1,this._moveFunction=w.move,this._activateOnStart=!!w.activateOnStart,w.assignEvents(this),this.reset()}reset(w){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(w)}_move(...w){let B=this._moveFunction(...w);if(B.bearingDelta||B.pitchDelta||B.around||B.panDelta)return this._active=!0,B}dragStart(w,B){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(w)&&(this._moveStateManager.startMove(w),this._lastPoint=B.length?B[0]:B,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(w,B){if(!this.isEnabled())return;let Q=this._lastPoint;if(!Q)return;if(w.preventDefault(),!this._moveStateManager.isValidMoveEvent(w))return void this.reset(w);let ee=B.length?B[0]:B;return!this._moved&&ee.dist(Q)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=ee,this._move(Q,ee))}dragEnd(w){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(w)&&(this._moved&&c.suppressClick(),this.reset(w))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}let Vf={0:1,2:2};class pc{constructor(w){this._correctEvent=w.checkCorrectEvent}startMove(w){let B=c.mouseButton(w);this._eventButton=B}endMove(w){delete this._eventButton}isValidStartEvent(w){return this._correctEvent(w)}isValidMoveEvent(w){return!function(B,Q){let ee=Vf[Q];return B.buttons===void 0||(B.buttons&ee)!==ee}(w,this._eventButton)}isValidEndEvent(w){return c.mouseButton(w)===this._eventButton}}class pf{constructor(){this._firstTouch=void 0}_isOneFingerTouch(w){return w.targetTouches.length===1}_isSameTouchEvent(w){return w.targetTouches[0].identifier===this._firstTouch}startMove(w){this._firstTouch=w.targetTouches[0].identifier}endMove(w){delete this._firstTouch}isValidStartEvent(w){return this._isOneFingerTouch(w)}isValidMoveEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}isValidEndEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}}let Ph=le=>{le.mousedown=le.dragStart,le.mousemoveWindow=le.dragMove,le.mouseup=le.dragEnd,le.contextmenu=w=>{w.preventDefault()}},Rl=({enable:le,clickTolerance:w,bearingDegreesPerPixelMoved:B=.8})=>{let Q=new pc({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new ju({clickTolerance:w,move:(ee,se)=>({bearingDelta:(se.x-ee.x)*B}),moveStateManager:Q,enable:le,assignEvents:Ph})},Ih=({enable:le,clickTolerance:w,pitchDegreesPerPixelMoved:B=-.5})=>{let Q=new pc({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new ju({clickTolerance:w,move:(ee,se)=>({pitchDelta:(se.y-ee.y)*B}),moveStateManager:Q,enable:le,assignEvents:Ph})};class Wu{constructor(w,B){this._clickTolerance=w.clickTolerance||1,this._map=B,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new a.P(0,0)}_shouldBePrevented(w){return w<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(w,B,Q){return this._calculateTransform(w,B,Q)}touchmove(w,B,Q){if(this._active){if(!this._shouldBePrevented(Q.length))return w.preventDefault(),this._calculateTransform(w,B,Q);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",w)}}touchend(w,B,Q){this._calculateTransform(w,B,Q),this._active&&this._shouldBePrevented(Q.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(w,B,Q){Q.length>0&&(this._active=!0);let ee=Lh(Q,B),se=new a.P(0,0),qe=new a.P(0,0),je=0;for(let yt in ee){let Ot=ee[yt],Nt=this._touches[yt];Nt&&(se._add(Ot),qe._add(Ot.sub(Nt)),je++,ee[yt]=Ot)}if(this._touches=ee,this._shouldBePrevented(je)||!qe.mag())return;let it=qe.div(je);return this._sum._add(it),this._sum.mag()<this._clickTolerance?void 0:{around:se.div(je),panDelta:it}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Rc{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(w,B,Q){this._firstTwoTouches||Q.length<2||(this._firstTwoTouches=[Q[0].identifier,Q[1].identifier],this._start([B[0],B[1]]))}touchmove(w,B,Q){if(!this._firstTwoTouches)return;w.preventDefault();let[ee,se]=this._firstTwoTouches,qe=gc(Q,B,ee),je=gc(Q,B,se);if(!qe||!je)return;let it=this._aroundCenter?null:qe.add(je).div(2);return this._move([qe,je],it,w)}touchend(w,B,Q){if(!this._firstTwoTouches)return;let[ee,se]=this._firstTwoTouches,qe=gc(Q,B,ee),je=gc(Q,B,se);qe&&je||(this._active&&c.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(w){this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\"}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function gc(le,w,B){for(let Q=0;Q<le.length;Q++)if(le[Q].identifier===B)return w[Q]}function hl(le,w){return Math.log(le/w)/Math.LN2}class ru extends Rc{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(w){this._startDistance=this._distance=w[0].dist(w[1])}_move(w,B){let Q=this._distance;if(this._distance=w[0].dist(w[1]),this._active||!(Math.abs(hl(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:hl(this._distance,Q),pinchAround:B}}}function mc(le,w){return 180*le.angleWith(w)/Math.PI}class Yc extends Rc{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(w){this._startVector=this._vector=w[0].sub(w[1]),this._minDiameter=w[0].dist(w[1])}_move(w,B,Q){let ee=this._vector;if(this._vector=w[0].sub(w[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:mc(this._vector,ee),pinchAround:B}}_isBelowThreshold(w){this._minDiameter=Math.min(this._minDiameter,w.mag());let B=25/(Math.PI*this._minDiameter)*360,Q=mc(w,this._startVector);return Math.abs(Q)<B}}function nc(le){return Math.abs(le.y)>Math.abs(le.x)}class gf extends Rc{constructor(w){super(),this._currentTouchCount=0,this._map=w}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(w,B,Q){super.touchstart(w,B,Q),this._currentTouchCount=Q.length}_start(w){this._lastPoints=w,nc(w[0].sub(w[1]))&&(this._valid=!1)}_move(w,B,Q){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let ee=w[0].sub(this._lastPoints[0]),se=w[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(ee,se,Q.timeStamp),this._valid?(this._lastPoints=w,this._active=!0,{pitchDelta:(ee.y+se.y)/2*-.5}):void 0}gestureBeginsVertically(w,B,Q){if(this._valid!==void 0)return this._valid;let ee=w.mag()>=2,se=B.mag()>=2;if(!ee&&!se)return;if(!ee||!se)return this._firstMove===void 0&&(this._firstMove=Q),Q-this._firstMove<100&&void 0;let qe=w.y>0==B.y>0;return nc(w)&&nc(B)&&qe}}let gt={panStep:100,bearingStep:15,pitchStep:10};class Bt{constructor(w){this._tr=new _u(w);let B=gt;this._panStep=B.panStep,this._bearingStep=B.bearingStep,this._pitchStep=B.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(w){if(w.altKey||w.ctrlKey||w.metaKey)return;let B=0,Q=0,ee=0,se=0,qe=0;switch(w.keyCode){case 61:case 107:case 171:case 187:B=1;break;case 189:case 109:case 173:B=-1;break;case 37:w.shiftKey?Q=-1:(w.preventDefault(),se=-1);break;case 39:w.shiftKey?Q=1:(w.preventDefault(),se=1);break;case 38:w.shiftKey?ee=1:(w.preventDefault(),qe=-1);break;case 40:w.shiftKey?ee=-1:(w.preventDefault(),qe=1);break;default:return}return this._rotationDisabled&&(Q=0,ee=0),{cameraAnimation:je=>{let it=this._tr;je.easeTo({duration:300,easeId:\"keyboardHandler\",easing:wr,zoom:B?Math.round(it.zoom)+B*(w.shiftKey?2:1):it.zoom,bearing:it.bearing+Q*this._bearingStep,pitch:it.pitch+ee*this._pitchStep,offset:[-se*this._panStep,-qe*this._panStep],center:it.center},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function wr(le){return le*(2-le)}let vr=4.000244140625;class Ur{constructor(w,B){this._onTimeout=Q=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Q)},this._map=w,this._tr=new _u(w),this._triggerRenderFrame=B,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(w){this._defaultZoomRate=w}setWheelZoomRate(w){this._wheelZoomRate=w}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(w){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(w){return!!this._map.cooperativeGestures.isEnabled()&&!(w.ctrlKey||this._map.cooperativeGestures.isBypassed(w))}wheel(w){if(!this.isEnabled())return;if(this._shouldBePrevented(w))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",w);let B=w.deltaMode===WheelEvent.DOM_DELTA_LINE?40*w.deltaY:w.deltaY,Q=u.now(),ee=Q-(this._lastWheelEventTime||0);this._lastWheelEventTime=Q,B!==0&&B%vr==0?this._type=\"wheel\":B!==0&&Math.abs(B)<4?this._type=\"trackpad\":ee>400?(this._type=null,this._lastValue=B,this._timeout=setTimeout(this._onTimeout,40,w)):this._type||(this._type=Math.abs(ee*B)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,B+=this._lastValue)),w.shiftKey&&B&&(B/=4),this._type&&(this._lastWheelEvent=w,this._delta-=B,this._active||this._start(w)),w.preventDefault()}_start(w){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);let B=c.mousePos(this._map.getCanvas(),w),Q=this._tr;this._around=B.y>Q.transform.height/2-Q.transform.getHorizon()?a.N.convert(this._aroundCenter?Q.center:Q.unproject(B)):a.N.convert(Q.center),this._aroundPoint=Q.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let w=this._tr.transform;if(this._delta!==0){let it=this._type===\"wheel\"&&Math.abs(this._delta)>vr?this._wheelZoomRate:this._defaultZoomRate,yt=2/(1+Math.exp(-Math.abs(this._delta*it)));this._delta<0&&yt!==0&&(yt=1/yt);let Ot=typeof this._targetZoom==\"number\"?w.zoomScale(this._targetZoom):w.scale;this._targetZoom=Math.min(w.maxZoom,Math.max(w.minZoom,w.scaleZoom(Ot*yt))),this._type===\"wheel\"&&(this._startZoom=w.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let B=typeof this._targetZoom==\"number\"?this._targetZoom:w.zoom,Q=this._startZoom,ee=this._easing,se,qe=!1,je=u.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&Q&&ee&&je){let it=Math.min(je/200,1),yt=ee(it);se=a.y.number(Q,B,yt),it<1?this._frameId||(this._frameId=!0):qe=!0}else se=B,qe=!0;return this._active=!0,qe&&(this._active=!1,this._finishTimeout=setTimeout(()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!qe,zoomDelta:se-w.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(w){let B=a.b9;if(this._prevEase){let Q=this._prevEase,ee=(u.now()-Q.start)/Q.duration,se=Q.easing(ee+.01)-Q.easing(ee),qe=.27/Math.sqrt(se*se+1e-4)*.01,je=Math.sqrt(.0729-qe*qe);B=a.b8(qe,je,.25,1)}return this._prevEase={start:u.now(),duration:w,easing:B},B}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class fi{constructor(w,B){this._clickZoom=w,this._tapZoom=B}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class xi{constructor(w){this._tr=new _u(w),this.reset()}reset(){this._active=!1}dblclick(w,B){return w.preventDefault(),{cameraAnimation:Q=>{Q.easeTo({duration:300,zoom:this._tr.zoom+(w.shiftKey?-1:1),around:this._tr.unproject(B)},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Fi{constructor(){this._tap=new Pf({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(w,B,Q){if(!this._swipePoint)if(this._tapTime){let ee=B[0],se=w.timeStamp-this._tapTime<500,qe=this._tapPoint.dist(ee)<30;se&&qe?Q.length>0&&(this._swipePoint=ee,this._swipeTouch=Q[0].identifier):this.reset()}else this._tap.touchstart(w,B,Q)}touchmove(w,B,Q){if(this._tapTime){if(this._swipePoint){if(Q[0].identifier!==this._swipeTouch)return;let ee=B[0],se=ee.y-this._swipePoint.y;return this._swipePoint=ee,w.preventDefault(),this._active=!0,{zoomDelta:se/128}}}else this._tap.touchmove(w,B,Q)}touchend(w,B,Q){if(this._tapTime)this._swipePoint&&Q.length===0&&this.reset();else{let ee=this._tap.touchend(w,B,Q);ee&&(this._tapTime=w.timeStamp,this._tapPoint=ee)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Xi{constructor(w,B,Q){this._el=w,this._mousePan=B,this._touchPan=Q}enable(w){this._inertiaOptions=w||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class hn{constructor(w,B,Q){this._pitchWithRotate=w.pitchWithRotate,this._mouseRotate=B,this._mousePitch=Q}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class Ti{constructor(w,B,Q,ee){this._el=w,this._touchZoom=B,this._touchRotate=Q,this._tapDragZoom=ee,this._rotationDisabled=!1,this._enabled=!0}enable(w){this._touchZoom.enable(w),this._rotationDisabled||this._touchRotate.enable(w),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class qi{constructor(w,B){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=w,this._options=B,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let w=this._map.getCanvasContainer();w.classList.add(\"maplibregl-cooperative-gestures\"),this._container=c.create(\"div\",\"maplibregl-cooperative-gesture-screen\",w);let B=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(B=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let Q=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),ee=document.createElement(\"div\");ee.className=\"maplibregl-desktop-message\",ee.textContent=B,this._container.appendChild(ee);let se=document.createElement(\"div\");se.className=\"maplibregl-mobile-message\",se.textContent=Q,this._container.appendChild(se),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(c.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(w){return w[this._bypassKey]}notifyGestureBlocked(w,B){this._enabled&&(this._map.fire(new a.k(\"cooperativegestureprevented\",{gestureType:w,originalEvent:B})),this._container.classList.add(\"maplibregl-show\"),setTimeout(()=>{this._container.classList.remove(\"maplibregl-show\")},100))}}let Ii=le=>le.zoom||le.drag||le.pitch||le.rotate;class mi extends a.k{}function Pn(le){return le.panDelta&&le.panDelta.mag()||le.zoomDelta||le.bearingDelta||le.pitchDelta}class Ma{constructor(w,B){this.handleWindowEvent=ee=>{this.handleEvent(ee,`${ee.type}Window`)},this.handleEvent=(ee,se)=>{if(ee.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let qe=ee.type===\"renderFrame\"?void 0:ee,je={needsRenderFrame:!1},it={},yt={},Ot=ee.touches,Nt=Ot?this._getMapTouches(Ot):void 0,hr=Nt?c.touchPos(this._map.getCanvas(),Nt):c.mousePos(this._map.getCanvas(),ee);for(let{handlerName:be,handler:Pe,allowed:Oe}of this._handlers){if(!Pe.isEnabled())continue;let Je;this._blockedByActive(yt,Oe,be)?Pe.reset():Pe[se||ee.type]&&(Je=Pe[se||ee.type](ee,hr,Nt),this.mergeHandlerResult(je,it,Je,be,qe),Je&&Je.needsRenderFrame&&this._triggerRenderFrame()),(Je||Pe.isActive())&&(yt[be]=Pe)}let Sr={};for(let be in this._previousActiveHandlers)yt[be]||(Sr[be]=qe);this._previousActiveHandlers=yt,(Object.keys(Sr).length||Pn(je))&&(this._changes.push([je,it,Sr]),this._triggerRenderFrame()),(Object.keys(yt).length||Pn(je))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:he}=je;he&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],he(this._map))},this._map=w,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Uf(w),this._bearingSnap=B.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(B);let Q=this._el;this._listeners=[[Q,\"touchstart\",{passive:!0}],[Q,\"touchmove\",{passive:!1}],[Q,\"touchend\",void 0],[Q,\"touchcancel\",void 0],[Q,\"mousedown\",void 0],[Q,\"mousemove\",void 0],[Q,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[Q,\"mouseover\",void 0],[Q,\"mouseout\",void 0],[Q,\"dblclick\",void 0],[Q,\"click\",void 0],[Q,\"keydown\",{capture:!1}],[Q,\"keyup\",void 0],[Q,\"wheel\",{passive:!1}],[Q,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[ee,se,qe]of this._listeners)c.addEventListener(ee,se,ee===document?this.handleWindowEvent:this.handleEvent,qe)}destroy(){for(let[w,B,Q]of this._listeners)c.removeEventListener(w,B,w===document?this.handleWindowEvent:this.handleEvent,Q)}_addDefaultHandlers(w){let B=this._map,Q=B.getCanvasContainer();this._add(\"mapEvent\",new sh(B,w));let ee=B.boxZoom=new xu(B,w);this._add(\"boxZoom\",ee),w.interactive&&w.boxZoom&&ee.enable();let se=B.cooperativeGestures=new qi(B,w.cooperativeGestures);this._add(\"cooperativeGestures\",se),w.cooperativeGestures&&se.enable();let qe=new Ic(B),je=new xi(B);B.doubleClickZoom=new fi(je,qe),this._add(\"tapZoom\",qe),this._add(\"clickZoom\",je),w.interactive&&w.doubleClickZoom&&B.doubleClickZoom.enable();let it=new Fi;this._add(\"tapDragZoom\",it);let yt=B.touchPitch=new gf(B);this._add(\"touchPitch\",yt),w.interactive&&w.touchPitch&&B.touchPitch.enable(w.touchPitch);let Ot=Rl(w),Nt=Ih(w);B.dragRotate=new hn(w,Ot,Nt),this._add(\"mouseRotate\",Ot,[\"mousePitch\"]),this._add(\"mousePitch\",Nt,[\"mouseRotate\"]),w.interactive&&w.dragRotate&&B.dragRotate.enable();let hr=(({enable:Je,clickTolerance:He})=>{let et=new pc({checkCorrectEvent:Mt=>c.mouseButton(Mt)===0&&!Mt.ctrlKey});return new ju({clickTolerance:He,move:(Mt,Dt)=>({around:Dt,panDelta:Dt.sub(Mt)}),activateOnStart:!0,moveStateManager:et,enable:Je,assignEvents:Ph})})(w),Sr=new Wu(w,B);B.dragPan=new Xi(Q,hr,Sr),this._add(\"mousePan\",hr),this._add(\"touchPan\",Sr,[\"touchZoom\",\"touchRotate\"]),w.interactive&&w.dragPan&&B.dragPan.enable(w.dragPan);let he=new Yc,be=new ru;B.touchZoomRotate=new Ti(Q,be,he,it),this._add(\"touchRotate\",he,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",be,[\"touchPan\",\"touchRotate\"]),w.interactive&&w.touchZoomRotate&&B.touchZoomRotate.enable(w.touchZoomRotate);let Pe=B.scrollZoom=new Ur(B,()=>this._triggerRenderFrame());this._add(\"scrollZoom\",Pe,[\"mousePan\"]),w.interactive&&w.scrollZoom&&B.scrollZoom.enable(w.scrollZoom);let Oe=B.keyboard=new Bt(B);this._add(\"keyboard\",Oe),w.interactive&&w.keyboard&&B.keyboard.enable(),this._add(\"blockableMapEvent\",new Fs(B))}_add(w,B,Q){this._handlers.push({handlerName:w,handler:B,allowed:Q}),this._handlersById[w]=B}stop(w){if(!this._updatingCamera){for(let{handler:B}of this._handlers)B.reset();this._inertia.clear(),this._fireEvents({},{},w),this._changes=[]}}isActive(){for(let{handler:w}of this._handlers)if(w.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!Ii(this._eventsInProgress)||this.isZooming()}_blockedByActive(w,B,Q){for(let ee in w)if(ee!==Q&&(!B||B.indexOf(ee)<0))return!0;return!1}_getMapTouches(w){let B=[];for(let Q of w)this._el.contains(Q.target)&&B.push(Q);return B}mergeHandlerResult(w,B,Q,ee,se){if(!Q)return;a.e(w,Q);let qe={handlerName:ee,originalEvent:Q.originalEvent||se};Q.zoomDelta!==void 0&&(B.zoom=qe),Q.panDelta!==void 0&&(B.drag=qe),Q.pitchDelta!==void 0&&(B.pitch=qe),Q.bearingDelta!==void 0&&(B.rotate=qe)}_applyChanges(){let w={},B={},Q={};for(let[ee,se,qe]of this._changes)ee.panDelta&&(w.panDelta=(w.panDelta||new a.P(0,0))._add(ee.panDelta)),ee.zoomDelta&&(w.zoomDelta=(w.zoomDelta||0)+ee.zoomDelta),ee.bearingDelta&&(w.bearingDelta=(w.bearingDelta||0)+ee.bearingDelta),ee.pitchDelta&&(w.pitchDelta=(w.pitchDelta||0)+ee.pitchDelta),ee.around!==void 0&&(w.around=ee.around),ee.pinchAround!==void 0&&(w.pinchAround=ee.pinchAround),ee.noInertia&&(w.noInertia=ee.noInertia),a.e(B,se),a.e(Q,qe);this._updateMapTransform(w,B,Q),this._changes=[]}_updateMapTransform(w,B,Q){let ee=this._map,se=ee._getTransformForUpdate(),qe=ee.terrain;if(!(Pn(w)||qe&&this._terrainMovement))return this._fireEvents(B,Q,!0);let{panDelta:je,zoomDelta:it,bearingDelta:yt,pitchDelta:Ot,around:Nt,pinchAround:hr}=w;hr!==void 0&&(Nt=hr),ee._stop(!0),Nt=Nt||ee.transform.centerPoint;let Sr=se.pointLocation(je?Nt.sub(je):Nt);yt&&(se.bearing+=yt),Ot&&(se.pitch+=Ot),it&&(se.zoom+=it),qe?this._terrainMovement||!B.drag&&!B.zoom?B.drag&&this._terrainMovement?se.center=se.pointLocation(se.centerPoint.sub(je)):se.setLocationAtPoint(Sr,Nt):(this._terrainMovement=!0,this._map._elevationFreeze=!0,se.setLocationAtPoint(Sr,Nt)):se.setLocationAtPoint(Sr,Nt),ee._applyUpdatedTransform(se),this._map._update(),w.noInertia||this._inertia.record(w),this._fireEvents(B,Q,!0)}_fireEvents(w,B,Q){let ee=Ii(this._eventsInProgress),se=Ii(w),qe={};for(let Nt in w){let{originalEvent:hr}=w[Nt];this._eventsInProgress[Nt]||(qe[`${Nt}start`]=hr),this._eventsInProgress[Nt]=w[Nt]}!ee&&se&&this._fireEvent(\"movestart\",se.originalEvent);for(let Nt in qe)this._fireEvent(Nt,qe[Nt]);se&&this._fireEvent(\"move\",se.originalEvent);for(let Nt in w){let{originalEvent:hr}=w[Nt];this._fireEvent(Nt,hr)}let je={},it;for(let Nt in this._eventsInProgress){let{handlerName:hr,originalEvent:Sr}=this._eventsInProgress[Nt];this._handlersById[hr].isActive()||(delete this._eventsInProgress[Nt],it=B[hr]||Sr,je[`${Nt}end`]=it)}for(let Nt in je)this._fireEvent(Nt,je[Nt]);let yt=Ii(this._eventsInProgress),Ot=(ee||se)&&!yt;if(Ot&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let Nt=this._map._getTransformForUpdate();Nt.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(Nt)}if(Q&&Ot){this._updatingCamera=!0;let Nt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),hr=Sr=>Sr!==0&&-this._bearingSnap<Sr&&Sr<this._bearingSnap;!Nt||!Nt.essential&&u.prefersReducedMotion?(this._map.fire(new a.k(\"moveend\",{originalEvent:it})),hr(this._map.getBearing())&&this._map.resetNorth()):(hr(Nt.bearing||this._map.getBearing())&&(Nt.bearing=0),Nt.freezeElevation=!0,this._map.easeTo(Nt,{originalEvent:it})),this._updatingCamera=!1}}_fireEvent(w,B){this._map.fire(new a.k(w,B?{originalEvent:B}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add(w=>{delete this._frameId,this.handleEvent(new mi(\"renderFrame\",{timeStamp:w})),this._applyChanges()})}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class Ta extends a.E{constructor(w,B){super(),this._renderFrameCallback=()=>{let Q=Math.min((u.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(Q)),Q<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=w,this._bearingSnap=B.bearingSnap,this.on(\"moveend\",()=>{delete this._requestedCameraState})}getCenter(){return new a.N(this.transform.center.lng,this.transform.center.lat)}setCenter(w,B){return this.jumpTo({center:w},B)}panBy(w,B,Q){return w=a.P.convert(w).mult(-1),this.panTo(this.transform.center,a.e({offset:w},B),Q)}panTo(w,B,Q){return this.easeTo(a.e({center:w},B),Q)}getZoom(){return this.transform.zoom}setZoom(w,B){return this.jumpTo({zoom:w},B),this}zoomTo(w,B,Q){return this.easeTo(a.e({zoom:w},B),Q)}zoomIn(w,B){return this.zoomTo(this.getZoom()+1,w,B),this}zoomOut(w,B){return this.zoomTo(this.getZoom()-1,w,B),this}getBearing(){return this.transform.bearing}setBearing(w,B){return this.jumpTo({bearing:w},B),this}getPadding(){return this.transform.padding}setPadding(w,B){return this.jumpTo({padding:w},B),this}rotateTo(w,B,Q){return this.easeTo(a.e({bearing:w},B),Q)}resetNorth(w,B){return this.rotateTo(0,a.e({duration:1e3},w),B),this}resetNorthPitch(w,B){return this.easeTo(a.e({bearing:0,pitch:0,duration:1e3},w),B),this}snapToNorth(w,B){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(w,B):this}getPitch(){return this.transform.pitch}setPitch(w,B){return this.jumpTo({pitch:w},B),this}cameraForBounds(w,B){w=ce.convert(w).adjustAntiMeridian();let Q=B&&B.bearing||0;return this._cameraForBoxAndBearing(w.getNorthWest(),w.getSouthEast(),Q,B)}_cameraForBoxAndBearing(w,B,Q,ee){let se={top:0,bottom:0,right:0,left:0};if(typeof(ee=a.e({padding:se,offset:[0,0],maxZoom:this.transform.maxZoom},ee)).padding==\"number\"){let zr=ee.padding;ee.padding={top:zr,bottom:zr,right:zr,left:zr}}ee.padding=a.e(se,ee.padding);let qe=this.transform,je=qe.padding,it=new ce(w,B),yt=qe.project(it.getNorthWest()),Ot=qe.project(it.getNorthEast()),Nt=qe.project(it.getSouthEast()),hr=qe.project(it.getSouthWest()),Sr=a.ba(-Q),he=yt.rotate(Sr),be=Ot.rotate(Sr),Pe=Nt.rotate(Sr),Oe=hr.rotate(Sr),Je=new a.P(Math.max(he.x,be.x,Oe.x,Pe.x),Math.max(he.y,be.y,Oe.y,Pe.y)),He=new a.P(Math.min(he.x,be.x,Oe.x,Pe.x),Math.min(he.y,be.y,Oe.y,Pe.y)),et=Je.sub(He),Mt=(qe.width-(je.left+je.right+ee.padding.left+ee.padding.right))/et.x,Dt=(qe.height-(je.top+je.bottom+ee.padding.top+ee.padding.bottom))/et.y;if(Dt<0||Mt<0)return void a.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");let Ut=Math.min(qe.scaleZoom(qe.scale*Math.min(Mt,Dt)),ee.maxZoom),tr=a.P.convert(ee.offset),mr=new a.P((ee.padding.left-ee.padding.right)/2,(ee.padding.top-ee.padding.bottom)/2).rotate(a.ba(Q)),Rr=tr.add(mr).mult(qe.scale/qe.zoomScale(Ut));return{center:qe.unproject(yt.add(Nt).div(2).sub(Rr)),zoom:Ut,bearing:Q}}fitBounds(w,B,Q){return this._fitInternal(this.cameraForBounds(w,B),B,Q)}fitScreenCoordinates(w,B,Q,ee,se){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(a.P.convert(w)),this.transform.pointLocation(a.P.convert(B)),Q,ee),ee,se)}_fitInternal(w,B,Q){return w?(delete(B=a.e(w,B)).padding,B.linear?this.easeTo(B,Q):this.flyTo(B,Q)):this}jumpTo(w,B){this.stop();let Q=this._getTransformForUpdate(),ee=!1,se=!1,qe=!1;return\"zoom\"in w&&Q.zoom!==+w.zoom&&(ee=!0,Q.zoom=+w.zoom),w.center!==void 0&&(Q.center=a.N.convert(w.center)),\"bearing\"in w&&Q.bearing!==+w.bearing&&(se=!0,Q.bearing=+w.bearing),\"pitch\"in w&&Q.pitch!==+w.pitch&&(qe=!0,Q.pitch=+w.pitch),w.padding==null||Q.isPaddingEqual(w.padding)||(Q.padding=w.padding),this._applyUpdatedTransform(Q),this.fire(new a.k(\"movestart\",B)).fire(new a.k(\"move\",B)),ee&&this.fire(new a.k(\"zoomstart\",B)).fire(new a.k(\"zoom\",B)).fire(new a.k(\"zoomend\",B)),se&&this.fire(new a.k(\"rotatestart\",B)).fire(new a.k(\"rotate\",B)).fire(new a.k(\"rotateend\",B)),qe&&this.fire(new a.k(\"pitchstart\",B)).fire(new a.k(\"pitch\",B)).fire(new a.k(\"pitchend\",B)),this.fire(new a.k(\"moveend\",B))}calculateCameraOptionsFromTo(w,B,Q,ee=0){let se=a.Z.fromLngLat(w,B),qe=a.Z.fromLngLat(Q,ee),je=qe.x-se.x,it=qe.y-se.y,yt=qe.z-se.z,Ot=Math.hypot(je,it,yt);if(Ot===0)throw new Error(\"Can't calculate camera options with same From and To\");let Nt=Math.hypot(je,it),hr=this.transform.scaleZoom(this.transform.cameraToCenterDistance/Ot/this.transform.tileSize),Sr=180*Math.atan2(je,-it)/Math.PI,he=180*Math.acos(Nt/Ot)/Math.PI;return he=yt<0?90-he:90+he,{center:qe.toLngLat(),zoom:hr,pitch:he,bearing:Sr}}easeTo(w,B){var Q;this._stop(!1,w.easeId),((w=a.e({offset:[0,0],duration:500,easing:a.b9},w)).animate===!1||!w.essential&&u.prefersReducedMotion)&&(w.duration=0);let ee=this._getTransformForUpdate(),se=ee.zoom,qe=ee.bearing,je=ee.pitch,it=ee.padding,yt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Ot=\"pitch\"in w?+w.pitch:je,Nt=\"padding\"in w?w.padding:ee.padding,hr=a.P.convert(w.offset),Sr=ee.centerPoint.add(hr),he=ee.pointLocation(Sr),{center:be,zoom:Pe}=ee.getConstrained(a.N.convert(w.center||he),(Q=w.zoom)!==null&&Q!==void 0?Q:se);this._normalizeCenter(be,ee);let Oe=ee.project(he),Je=ee.project(be).sub(Oe),He=ee.zoomScale(Pe-se),et,Mt;w.around&&(et=a.N.convert(w.around),Mt=ee.locationPoint(et));let Dt={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||Pe!==se,this._rotating=this._rotating||qe!==yt,this._pitching=this._pitching||Ot!==je,this._padding=!ee.isPaddingEqual(Nt),this._easeId=w.easeId,this._prepareEase(B,w.noMoveStart,Dt),this.terrain&&this._prepareElevation(be),this._ease(Ut=>{if(this._zooming&&(ee.zoom=a.y.number(se,Pe,Ut)),this._rotating&&(ee.bearing=a.y.number(qe,yt,Ut)),this._pitching&&(ee.pitch=a.y.number(je,Ot,Ut)),this._padding&&(ee.interpolatePadding(it,Nt,Ut),Sr=ee.centerPoint.add(hr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Ut),et)ee.setLocationAtPoint(et,Mt);else{let tr=ee.zoomScale(ee.zoom-se),mr=Pe>se?Math.min(2,He):Math.max(.5,He),Rr=Math.pow(mr,1-Ut),zr=ee.unproject(Oe.add(Je.mult(Ut*Rr)).mult(tr));ee.setLocationAtPoint(ee.renderWorldCopies?zr.wrap():zr,Sr)}this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},Ut=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B,Ut)},w),this}_prepareEase(w,B,Q={}){this._moving=!0,B||Q.moving||this.fire(new a.k(\"movestart\",w)),this._zooming&&!Q.zooming&&this.fire(new a.k(\"zoomstart\",w)),this._rotating&&!Q.rotating&&this.fire(new a.k(\"rotatestart\",w)),this._pitching&&!Q.pitching&&this.fire(new a.k(\"pitchstart\",w))}_prepareElevation(w){this._elevationCenter=w,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(w,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(w){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let B=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(w<1&&B!==this._elevationTarget){let Q=this._elevationTarget-this._elevationStart;this._elevationStart+=w*(Q-(B-(Q*w+this._elevationStart))/(1-w)),this._elevationTarget=B}this.transform.elevation=a.y.number(this._elevationStart,this._elevationTarget,w)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(w){let B=w.getCameraPosition(),Q=this.terrain.getElevationForLngLatZoom(B.lngLat,w.zoom);if(B.altitude<Q){let ee=this.calculateCameraOptionsFromTo(B.lngLat,Q,w.center,w.elevation);return{pitch:ee.pitch,zoom:ee.zoom}}return{}}_applyUpdatedTransform(w){let B=[];if(this.terrain&&B.push(ee=>this._elevateCameraIfInsideTerrain(ee)),this.transformCameraUpdate&&B.push(ee=>this.transformCameraUpdate(ee)),!B.length)return;let Q=w.clone();for(let ee of B){let se=Q.clone(),{center:qe,zoom:je,pitch:it,bearing:yt,elevation:Ot}=ee(se);qe&&(se.center=qe),je!==void 0&&(se.zoom=je),it!==void 0&&(se.pitch=it),yt!==void 0&&(se.bearing=yt),Ot!==void 0&&(se.elevation=Ot),Q.apply(se)}this.transform.apply(Q)}_fireMoveEvents(w){this.fire(new a.k(\"move\",w)),this._zooming&&this.fire(new a.k(\"zoom\",w)),this._rotating&&this.fire(new a.k(\"rotate\",w)),this._pitching&&this.fire(new a.k(\"pitch\",w))}_afterEase(w,B){if(this._easeId&&B&&this._easeId===B)return;delete this._easeId;let Q=this._zooming,ee=this._rotating,se=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Q&&this.fire(new a.k(\"zoomend\",w)),ee&&this.fire(new a.k(\"rotateend\",w)),se&&this.fire(new a.k(\"pitchend\",w)),this.fire(new a.k(\"moveend\",w))}flyTo(w,B){var Q;if(!w.essential&&u.prefersReducedMotion){let Qi=a.M(w,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(Qi,B)}this.stop(),w=a.e({offset:[0,0],speed:1.2,curve:1.42,easing:a.b9},w);let ee=this._getTransformForUpdate(),se=ee.zoom,qe=ee.bearing,je=ee.pitch,it=ee.padding,yt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Ot=\"pitch\"in w?+w.pitch:je,Nt=\"padding\"in w?w.padding:ee.padding,hr=a.P.convert(w.offset),Sr=ee.centerPoint.add(hr),he=ee.pointLocation(Sr),{center:be,zoom:Pe}=ee.getConstrained(a.N.convert(w.center||he),(Q=w.zoom)!==null&&Q!==void 0?Q:se);this._normalizeCenter(be,ee);let Oe=ee.zoomScale(Pe-se),Je=ee.project(he),He=ee.project(be).sub(Je),et=w.curve,Mt=Math.max(ee.width,ee.height),Dt=Mt/Oe,Ut=He.mag();if(\"minZoom\"in w){let Qi=a.ac(Math.min(w.minZoom,se,Pe),ee.minZoom,ee.maxZoom),Mn=Mt/ee.zoomScale(Qi-se);et=Math.sqrt(Mn/Ut*2)}let tr=et*et;function mr(Qi){let Mn=(Dt*Dt-Mt*Mt+(Qi?-1:1)*tr*tr*Ut*Ut)/(2*(Qi?Dt:Mt)*tr*Ut);return Math.log(Math.sqrt(Mn*Mn+1)-Mn)}function Rr(Qi){return(Math.exp(Qi)-Math.exp(-Qi))/2}function zr(Qi){return(Math.exp(Qi)+Math.exp(-Qi))/2}let Xr=mr(!1),di=function(Qi){return zr(Xr)/zr(Xr+et*Qi)},Li=function(Qi){return Mt*((zr(Xr)*(Rr(Mn=Xr+et*Qi)/zr(Mn))-Rr(Xr))/tr)/Ut;var Mn},Ci=(mr(!0)-Xr)/et;if(Math.abs(Ut)<1e-6||!isFinite(Ci)){if(Math.abs(Mt-Dt)<1e-6)return this.easeTo(w,B);let Qi=Dt<Mt?-1:1;Ci=Math.abs(Math.log(Dt/Mt))/et,Li=()=>0,di=Mn=>Math.exp(Qi*et*Mn)}return w.duration=\"duration\"in w?+w.duration:1e3*Ci/(\"screenSpeed\"in w?+w.screenSpeed/et:+w.speed),w.maxDuration&&w.duration>w.maxDuration&&(w.duration=0),this._zooming=!0,this._rotating=qe!==yt,this._pitching=Ot!==je,this._padding=!ee.isPaddingEqual(Nt),this._prepareEase(B,!1),this.terrain&&this._prepareElevation(be),this._ease(Qi=>{let Mn=Qi*Ci,pa=1/di(Mn);ee.zoom=Qi===1?Pe:se+ee.scaleZoom(pa),this._rotating&&(ee.bearing=a.y.number(qe,yt,Qi)),this._pitching&&(ee.pitch=a.y.number(je,Ot,Qi)),this._padding&&(ee.interpolatePadding(it,Nt,Qi),Sr=ee.centerPoint.add(hr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Qi);let ea=Qi===1?be:ee.unproject(Je.add(He.mult(Li(Mn))).mult(pa));ee.setLocationAtPoint(ee.renderWorldCopies?ea.wrap():ea,Sr),this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},()=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B)},w),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(w,B){var Q;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let ee=this._onEaseEnd;delete this._onEaseEnd,ee.call(this,B)}return w||(Q=this.handlers)===null||Q===void 0||Q.stop(!1),this}_ease(w,B,Q){Q.animate===!1||Q.duration===0?(w(1),B()):(this._easeStart=u.now(),this._easeOptions=Q,this._onEaseFrame=w,this._onEaseEnd=B,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(w,B){w=a.b3(w,-180,180);let Q=Math.abs(w-B);return Math.abs(w-360-B)<Q&&(w-=360),Math.abs(w+360-B)<Q&&(w+=360),w}_normalizeCenter(w,B){if(!B.renderWorldCopies||B.lngRange)return;let Q=w.lng-B.center.lng;w.lng+=Q>180?-360:Q<-180?360:0}queryTerrainElevation(w){return this.terrain?this.terrain.getElevationForLngLatZoom(a.N.convert(w),this.transform.tileZoom)-this.transform.elevation:null}}let Ea={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class qa{constructor(w=Ea){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=B=>{!B||B.sourceDataType!==\"metadata\"&&B.sourceDataType!==\"visibility\"&&B.dataType!==\"style\"&&B.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=w}getDefaultPosition(){return\"bottom-right\"}onAdd(w){return this._map=w,this._compact=this.options.compact,this._container=c.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=c.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=c.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){c.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(w,B){let Q=this._map._getUIString(`AttributionControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)}_updateAttributions(){if(!this._map.style)return;let w=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?w=w.concat(this.options.customAttribution.map(ee=>typeof ee!=\"string\"?\"\":ee)):typeof this.options.customAttribution==\"string\"&&w.push(this.options.customAttribution)),this._map.style.stylesheet){let ee=this._map.style.stylesheet;this.styleOwner=ee.owner,this.styleId=ee.id}let B=this._map.style.sourceCaches;for(let ee in B){let se=B[ee];if(se.used||se.usedForTerrain){let qe=se.getSource();qe.attribution&&w.indexOf(qe.attribution)<0&&w.push(qe.attribution)}}w=w.filter(ee=>String(ee).trim()),w.sort((ee,se)=>ee.length-se.length),w=w.filter((ee,se)=>{for(let qe=se+1;qe<w.length;qe++)if(w[qe].indexOf(ee)>=0)return!1;return!0});let Q=w.join(\" | \");Q!==this._attribHTML&&(this._attribHTML=Q,w.length?(this._innerContainer.innerHTML=Q,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Cn{constructor(w={}){this._updateCompact=()=>{let B=this._container.children;if(B.length){let Q=B[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&Q.classList.add(\"maplibregl-compact\"):Q.classList.remove(\"maplibregl-compact\")}},this.options=w}getDefaultPosition(){return\"bottom-left\"}onAdd(w){this._map=w,this._compact=this.options&&this.options.compact,this._container=c.create(\"div\",\"maplibregl-ctrl\");let B=c.create(\"a\",\"maplibregl-ctrl-logo\");return B.target=\"_blank\",B.rel=\"noopener nofollow\",B.href=\"https://maplibre.org/\",B.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),B.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(B),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){c.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class sn{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(w){let B=++this._id;return this._queue.push({callback:w,id:B,cancelled:!1}),B}remove(w){let B=this._currentlyRunning,Q=B?this._queue.concat(B):this._queue;for(let ee of Q)if(ee.id===w)return void(ee.cancelled=!0)}run(w=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let B=this._currentlyRunning=this._queue;this._queue=[];for(let Q of B)if(!Q.cancelled&&(Q.callback(w),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var Ua=a.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class mo extends a.E{constructor(w){super(),this.sourceCache=w,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,w.usedForTerrain=!0,w.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(w,B){this.sourceCache.update(w,B),this._renderableTilesKeys=[];let Q={};for(let ee of w.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:B}))Q[ee.key]=!0,this._renderableTilesKeys.push(ee.key),this._tiles[ee.key]||(ee.posMatrix=new Float64Array(16),a.aP(ee.posMatrix,0,a.X,0,a.X,0,1),this._tiles[ee.key]=new Lt(ee,this.tileSize));for(let ee in this._tiles)Q[ee]||delete this._tiles[ee]}freeRtt(w){for(let B in this._tiles){let Q=this._tiles[B];(!w||Q.tileID.equals(w)||Q.tileID.isChildOf(w)||w.isChildOf(Q.tileID))&&(Q.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map(w=>this.getTileByID(w))}getTileByID(w){return this._tiles[w]}getTerrainCoords(w){let B={};for(let Q of this._renderableTilesKeys){let ee=this._tiles[Q].tileID;if(ee.canonical.equals(w.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16),a.aP(se.posMatrix,0,a.X,0,a.X,0,1),B[Q]=se}else if(ee.canonical.isChildOf(w.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16);let qe=ee.canonical.z-w.canonical.z,je=ee.canonical.x-(ee.canonical.x>>qe<<qe),it=ee.canonical.y-(ee.canonical.y>>qe<<qe),yt=a.X>>qe;a.aP(se.posMatrix,0,yt,0,yt,0,1),a.J(se.posMatrix,se.posMatrix,[-je*yt,-it*yt,0]),B[Q]=se}else if(w.canonical.isChildOf(ee.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16);let qe=w.canonical.z-ee.canonical.z,je=w.canonical.x-(w.canonical.x>>qe<<qe),it=w.canonical.y-(w.canonical.y>>qe<<qe),yt=a.X>>qe;a.aP(se.posMatrix,0,a.X,0,a.X,0,1),a.J(se.posMatrix,se.posMatrix,[je*yt,it*yt,0]),a.K(se.posMatrix,se.posMatrix,[1/2**qe,1/2**qe,0]),B[Q]=se}}return B}getSourceTile(w,B){let Q=this.sourceCache._source,ee=w.overscaledZ-this.deltaZoom;if(ee>Q.maxzoom&&(ee=Q.maxzoom),ee<Q.minzoom)return null;this._sourceTileCache[w.key]||(this._sourceTileCache[w.key]=w.scaledTo(ee).key);let se=this.sourceCache.getTileByID(this._sourceTileCache[w.key]);if((!se||!se.dem)&&B)for(;ee>=Q.minzoom&&(!se||!se.dem);)se=this.sourceCache.getTileByID(w.scaledTo(ee--).key);return se}tilesAfterTime(w=Date.now()){return Object.values(this._tiles).filter(B=>B.timeAdded>=w)}}class Xo{constructor(w,B,Q){this.painter=w,this.sourceCache=new mo(B),this.options=Q,this.exaggeration=typeof Q.exaggeration==\"number\"?Q.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(w,B,Q,ee=a.X){var se;if(!(B>=0&&B<ee&&Q>=0&&Q<ee))return 0;let qe=this.getTerrainData(w),je=(se=qe.tile)===null||se===void 0?void 0:se.dem;if(!je)return 0;let it=function(he,be,Pe){var Oe=be[0],Je=be[1];return he[0]=Pe[0]*Oe+Pe[4]*Je+Pe[12],he[1]=Pe[1]*Oe+Pe[5]*Je+Pe[13],he}([],[B/ee*a.X,Q/ee*a.X],qe.u_terrain_matrix),yt=[it[0]*je.dim,it[1]*je.dim],Ot=Math.floor(yt[0]),Nt=Math.floor(yt[1]),hr=yt[0]-Ot,Sr=yt[1]-Nt;return je.get(Ot,Nt)*(1-hr)*(1-Sr)+je.get(Ot+1,Nt)*hr*(1-Sr)+je.get(Ot,Nt+1)*(1-hr)*Sr+je.get(Ot+1,Nt+1)*hr*Sr}getElevationForLngLatZoom(w,B){if(!a.bb(B,w.wrap()))return 0;let{tileID:Q,mercatorX:ee,mercatorY:se}=this._getOverscaledTileIDFromLngLatZoom(w,B);return this.getElevation(Q,ee%a.X,se%a.X,a.X)}getElevation(w,B,Q,ee=a.X){return this.getDEMElevation(w,B,Q,ee)*this.exaggeration}getTerrainData(w){if(!this._emptyDemTexture){let ee=this.painter.context,se=new a.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new p(ee,se,ee.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new p(ee,new a.R({width:1,height:1}),ee.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=a.an([])}let B=this.sourceCache.getSourceTile(w,!0);if(B&&B.dem&&(!B.demTexture||B.needsTerrainPrepare)){let ee=this.painter.context;B.demTexture=this.painter.getTileTexture(B.dem.stride),B.demTexture?B.demTexture.update(B.dem.getPixels(),{premultiply:!1}):B.demTexture=new p(ee,B.dem.getPixels(),ee.gl.RGBA,{premultiply:!1}),B.demTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),B.needsTerrainPrepare=!1}let Q=B&&B+B.tileID.key+w.key;if(Q&&!this._demMatrixCache[Q]){let ee=this.sourceCache.sourceCache._source.maxzoom,se=w.canonical.z-B.tileID.canonical.z;w.overscaledZ>w.canonical.z&&(w.canonical.z>=ee?se=w.canonical.z-ee:a.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let qe=w.canonical.x-(w.canonical.x>>se<<se),je=w.canonical.y-(w.canonical.y>>se<<se),it=a.bc(new Float64Array(16),[1/(a.X<<se),1/(a.X<<se),0]);a.J(it,it,[qe*a.X,je*a.X,0]),this._demMatrixCache[w.key]={matrix:it,coord:w}}return{u_depth:2,u_terrain:3,u_terrain_dim:B&&B.dem&&B.dem.dim||1,u_terrain_matrix:Q?this._demMatrixCache[w.key].matrix:this._emptyDemMatrix,u_terrain_unpack:B&&B.dem&&B.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(B&&B.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:B}}getFramebuffer(w){let B=this.painter,Q=B.width/devicePixelRatio,ee=B.height/devicePixelRatio;return!this._fbo||this._fbo.width===Q&&this._fbo.height===ee||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new p(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new p(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=B.context.createFramebuffer(Q,ee,!0,!1),this._fbo.depthAttachment.set(B.context.createRenderbuffer(B.context.gl.DEPTH_COMPONENT16,Q,ee))),this._fbo.colorAttachment.set(w===\"coords\"?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){let w=this.painter.context;if(this._coordsTexture)return this._coordsTexture;let B=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let se=0,qe=0;se<this._coordsTextureSize;se++)for(let je=0;je<this._coordsTextureSize;je++,qe+=4)B[qe+0]=255&je,B[qe+1]=255&se,B[qe+2]=je>>8<<4|se>>8,B[qe+3]=0;let Q=new a.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(B.buffer)),ee=new p(w,Q,w.gl.RGBA,{premultiply:!1});return ee.bind(w.gl.NEAREST,w.gl.CLAMP_TO_EDGE),this._coordsTexture=ee,ee}pointCoordinate(w){this.painter.maybeDrawDepthAndCoords(!0);let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl,se=Math.round(w.x*this.painter.pixelRatio/devicePixelRatio),qe=Math.round(w.y*this.painter.pixelRatio/devicePixelRatio),je=Math.round(this.painter.height/devicePixelRatio);Q.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),ee.readPixels(se,je-qe-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null);let it=B[0]+(B[2]>>4<<8),yt=B[1]+((15&B[2])<<8),Ot=this.coordsIndex[255-B[3]],Nt=Ot&&this.sourceCache.getTileByID(Ot);if(!Nt)return null;let hr=this._coordsTextureSize,Sr=(1<<Nt.tileID.canonical.z)*hr;return new a.Z((Nt.tileID.canonical.x*hr+it)/Sr+Nt.tileID.wrap,(Nt.tileID.canonical.y*hr+yt)/Sr,this.getElevation(Nt.tileID,it,yt,hr))}depthAtPoint(w){let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl;return Q.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),ee.readPixels(w.x,this.painter.height/devicePixelRatio-w.y-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null),(B[0]/16777216+B[1]/65536+B[2]/256+B[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;let w=this.painter.context,B=new a.bd,Q=new a.aY,ee=this.meshSize,se=a.X/ee,qe=ee*ee;for(let Nt=0;Nt<=ee;Nt++)for(let hr=0;hr<=ee;hr++)B.emplaceBack(hr*se,Nt*se,0);for(let Nt=0;Nt<qe;Nt+=ee+1)for(let hr=0;hr<ee;hr++)Q.emplaceBack(hr+Nt,ee+hr+Nt+1,ee+hr+Nt+2),Q.emplaceBack(hr+Nt,ee+hr+Nt+2,hr+Nt+1);let je=B.length,it=je+2*(ee+1);for(let Nt of[0,1])for(let hr=0;hr<=ee;hr++)for(let Sr of[0,1])B.emplaceBack(hr*se,Nt*a.X,Sr);for(let Nt=0;Nt<2*ee;Nt+=2)Q.emplaceBack(it+Nt,it+Nt+1,it+Nt+3),Q.emplaceBack(it+Nt,it+Nt+3,it+Nt+2),Q.emplaceBack(je+Nt,je+Nt+3,je+Nt+1),Q.emplaceBack(je+Nt,je+Nt+2,je+Nt+3);let yt=B.length,Ot=yt+2*(ee+1);for(let Nt of[0,1])for(let hr=0;hr<=ee;hr++)for(let Sr of[0,1])B.emplaceBack(Nt*a.X,hr*se,Sr);for(let Nt=0;Nt<2*ee;Nt+=2)Q.emplaceBack(yt+Nt,yt+Nt+1,yt+Nt+3),Q.emplaceBack(yt+Nt,yt+Nt+3,yt+Nt+2),Q.emplaceBack(Ot+Nt,Ot+Nt+3,Ot+Nt+1),Q.emplaceBack(Ot+Nt,Ot+Nt+2,Ot+Nt+3);return this._mesh=new Pu(w.createVertexBuffer(B,Ua.members),w.createIndexBuffer(Q),a.a0.simpleSegment(0,0,B.length,Q.length)),this._mesh}getMeshFrameDelta(w){return 2*Math.PI*a.be/Math.pow(2,w)/5}getMinTileElevationForLngLatZoom(w,B){var Q;let{tileID:ee}=this._getOverscaledTileIDFromLngLatZoom(w,B);return(Q=this.getMinMaxElevation(ee).minElevation)!==null&&Q!==void 0?Q:0}getMinMaxElevation(w){let B=this.getTerrainData(w).tile,Q={minElevation:null,maxElevation:null};return B&&B.dem&&(Q.minElevation=B.dem.min*this.exaggeration,Q.maxElevation=B.dem.max*this.exaggeration),Q}_getOverscaledTileIDFromLngLatZoom(w,B){let Q=a.Z.fromLngLat(w.wrap()),ee=(1<<B)*a.X,se=Q.x*ee,qe=Q.y*ee,je=Math.floor(se/a.X),it=Math.floor(qe/a.X);return{tileID:new a.S(B,0,B,je,it),mercatorX:se,mercatorY:qe}}}class Ts{constructor(w,B,Q){this._context=w,this._size=B,this._tileSize=Q,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(let w of this._objects)w.texture.destroy(),w.fbo.destroy()}_createObject(w){let B=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),Q=new p(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return Q.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),B.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),B.colorAttachment.set(Q.texture),{id:w,fbo:B,texture:Q,stamp:-1,inUse:!1}}getObjectForId(w){return this._objects[w]}useObject(w){w.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter(B=>w.id!==B),this._recentlyUsed.push(w.id)}stampObject(w){w.stamp=++this._stamp}getOrCreateFreeObject(){for(let B of this._recentlyUsed)if(!this._objects[B].inUse)return this._objects[B];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let w=this._createObject(this._objects.length);return this._objects.push(w),w}freeObject(w){w.inUse=!1}freeAllObjects(){for(let w of this._objects)this.freeObject(w)}isFull(){return!(this._objects.length<this._size)&&this._objects.some(w=>!w.inUse)===!1}}let Qo={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class ys{constructor(w,B){this.painter=w,this.terrain=B,this.pool=new Ts(w.context,30,B.sourceCache.tileSize*B.qualityFactor)}destruct(){this.pool.destruct()}getTexture(w){return this.pool.getObjectForId(w.rtt[this._stacks.length-1].id).texture}prepareForRender(w,B){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=w._order.filter(Q=>!w._layers[Q].isHidden(B)),this._coordsDescendingInv={};for(let Q in w.sourceCaches){this._coordsDescendingInv[Q]={};let ee=w.sourceCaches[Q].getVisibleCoordinates();for(let se of ee){let qe=this.terrain.sourceCache.getTerrainCoords(se);for(let je in qe)this._coordsDescendingInv[Q][je]||(this._coordsDescendingInv[Q][je]=[]),this._coordsDescendingInv[Q][je].push(qe[je])}}this._coordsDescendingInvStr={};for(let Q of w._order){let ee=w._layers[Q],se=ee.source;if(Qo[ee.type]&&!this._coordsDescendingInvStr[se]){this._coordsDescendingInvStr[se]={};for(let qe in this._coordsDescendingInv[se])this._coordsDescendingInvStr[se][qe]=this._coordsDescendingInv[se][qe].map(je=>je.key).sort().join()}}for(let Q of this._renderableTiles)for(let ee in this._coordsDescendingInvStr){let se=this._coordsDescendingInvStr[ee][Q.tileID.key];se&&se!==Q.rttCoords[ee]&&(Q.rtt=[])}}renderLayer(w){if(w.isHidden(this.painter.transform.zoom))return!1;let B=w.type,Q=this.painter,ee=this._renderableLayerIds[this._renderableLayerIds.length-1]===w.id;if(Qo[B]&&(this._prevType&&Qo[this._prevType]||this._stacks.push([]),this._prevType=B,this._stacks[this._stacks.length-1].push(w.id),!ee))return!0;if(Qo[this._prevType]||Qo[B]&&ee){this._prevType=B;let se=this._stacks.length-1,qe=this._stacks[se]||[];for(let je of this._renderableTiles){if(this.pool.isFull()&&(eu(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(je),je.rtt[se]){let yt=this.pool.getObjectForId(je.rtt[se].id);if(yt.stamp===je.rtt[se].stamp){this.pool.useObject(yt);continue}}let it=this.pool.getOrCreateFreeObject();this.pool.useObject(it),this.pool.stampObject(it),je.rtt[se]={id:it.id,stamp:it.stamp},Q.context.bindFramebuffer.set(it.fbo.framebuffer),Q.context.clear({color:a.aM.transparent,stencil:0}),Q.currentStencilSource=void 0;for(let yt=0;yt<qe.length;yt++){let Ot=Q.style._layers[qe[yt]],Nt=Ot.source?this._coordsDescendingInv[Ot.source][je.tileID.key]:[je.tileID];Q.context.viewport.set([0,0,it.fbo.width,it.fbo.height]),Q._renderTileClippingMasks(Ot,Nt),Q.renderLayer(Q,Q.style.sourceCaches[Ot.source],Ot,Nt),Ot.source&&(je.rttCoords[Ot.source]=this._coordsDescendingInvStr[Ot.source][je.tileID.key])}}return eu(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Qo[B]}return!1}}let Bo={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use \\u2318 + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},yl=o,Gs={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Ea,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:a.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0},Rs=le=>{le.touchstart=le.dragStart,le.touchmoveWindow=le.dragMove,le.touchend=le.dragEnd},ia={showCompass:!0,showZoom:!0,visualizePitch:!1};class Ka{constructor(w,B,Q=!1){this.mousedown=qe=>{this.startMouse(a.e({},qe,{ctrlKey:!0,preventDefault:()=>qe.preventDefault()}),c.mousePos(this.element,qe)),c.addEventListener(window,\"mousemove\",this.mousemove),c.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=qe=>{this.moveMouse(qe,c.mousePos(this.element,qe))},this.mouseup=qe=>{this.mouseRotate.dragEnd(qe),this.mousePitch&&this.mousePitch.dragEnd(qe),this.offTemp()},this.touchstart=qe=>{qe.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.startTouch(qe,this._startPos),c.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=qe=>{qe.targetTouches.length!==1?this.reset():(this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.moveTouch(qe,this._lastPos))},this.touchend=qe=>{qe.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;let ee=w.dragRotate._mouseRotate.getClickTolerance(),se=w.dragRotate._mousePitch.getClickTolerance();this.element=B,this.mouseRotate=Rl({clickTolerance:ee,enable:!0}),this.touchRotate=(({enable:qe,clickTolerance:je,bearingDegreesPerPixelMoved:it=.8})=>{let yt=new pf;return new ju({clickTolerance:je,move:(Ot,Nt)=>({bearingDelta:(Nt.x-Ot.x)*it}),moveStateManager:yt,enable:qe,assignEvents:Rs})})({clickTolerance:ee,enable:!0}),this.map=w,Q&&(this.mousePitch=Ih({clickTolerance:se,enable:!0}),this.touchPitch=(({enable:qe,clickTolerance:je,pitchDegreesPerPixelMoved:it=-.5})=>{let yt=new pf;return new ju({clickTolerance:je,move:(Ot,Nt)=>({pitchDelta:(Nt.y-Ot.y)*it}),moveStateManager:yt,enable:qe,assignEvents:Rs})})({clickTolerance:se,enable:!0})),c.addEventListener(B,\"mousedown\",this.mousedown),c.addEventListener(B,\"touchstart\",this.touchstart,{passive:!1}),c.addEventListener(B,\"touchcancel\",this.reset)}startMouse(w,B){this.mouseRotate.dragStart(w,B),this.mousePitch&&this.mousePitch.dragStart(w,B),c.disableDrag()}startTouch(w,B){this.touchRotate.dragStart(w,B),this.touchPitch&&this.touchPitch.dragStart(w,B),c.disableDrag()}moveMouse(w,B){let Q=this.map,{bearingDelta:ee}=this.mouseRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.mousePitch){let{pitchDelta:se}=this.mousePitch.dragMove(w,B)||{};se&&Q.setPitch(Q.getPitch()+se)}}moveTouch(w,B){let Q=this.map,{bearingDelta:ee}=this.touchRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.touchPitch){let{pitchDelta:se}=this.touchPitch.dragMove(w,B)||{};se&&Q.setPitch(Q.getPitch()+se)}}off(){let w=this.element;c.removeEventListener(w,\"mousedown\",this.mousedown),c.removeEventListener(w,\"touchstart\",this.touchstart,{passive:!1}),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend),c.removeEventListener(w,\"touchcancel\",this.reset),this.offTemp()}offTemp(){c.enableDrag(),c.removeEventListener(window,\"mousemove\",this.mousemove),c.removeEventListener(window,\"mouseup\",this.mouseup),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend)}}let vs;function Ko(le,w,B){let Q=new a.N(le.lng,le.lat);if(le=new a.N(le.lng,le.lat),w){let ee=new a.N(le.lng-360,le.lat),se=new a.N(le.lng+360,le.lat),qe=B.locationPoint(le).distSqr(w);B.locationPoint(ee).distSqr(w)<qe?le=ee:B.locationPoint(se).distSqr(w)<qe&&(le=se)}for(;Math.abs(le.lng-B.center.lng)>180;){let ee=B.locationPoint(le);if(ee.x>=0&&ee.y>=0&&ee.x<=B.width&&ee.y<=B.height)break;le.lng>B.center.lng?le.lng-=360:le.lng+=360}return le.lng!==Q.lng&&B.locationPoint(le).y>B.height/2-B.getHorizon()?le:Q}let iu={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ru(le,w,B){let Q=le.classList;for(let ee in iu)Q.remove(`maplibregl-${B}-anchor-${ee}`);Q.add(`maplibregl-${B}-anchor-${w}`)}class ac extends a.E{constructor(w){if(super(),this._onKeyPress=B=>{let Q=B.code,ee=B.charCode||B.keyCode;Q!==\"Space\"&&Q!==\"Enter\"&&ee!==32&&ee!==13||this.togglePopup()},this._onMapClick=B=>{let Q=B.originalEvent.target,ee=this._element;this._popup&&(Q===ee||ee.contains(Q))&&this.togglePopup()},this._update=B=>{var Q;if(!this._map)return;let ee=this._map.loaded()&&!this._map.isMoving();((B==null?void 0:B.type)===\"terrain\"||(B==null?void 0:B.type)===\"render\"&&!ee)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?Ko(this._lngLat,this._flatPos,this._map.transform):(Q=this._lngLat)===null||Q===void 0?void 0:Q.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let se=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?se=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(se=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let qe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?qe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(qe=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||B&&B.type!==\"moveend\"||(this._pos=this._pos.round()),c.setTransform(this._element,`${iu[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${qe} ${se}`),u.frameAsync(new AbortController).then(()=>{this._updateOpacity(B&&B.type===\"moveend\")}).catch(()=>{})},this._onMove=B=>{if(!this._isDragging){let Q=this._clickTolerance||this._map._clickTolerance;this._isDragging=B.point.dist(this._pointerdownPos)>=Q}this._isDragging&&(this._pos=B.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new a.k(\"dragstart\"))),this.fire(new a.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new a.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=B=>{this._element.contains(B.originalEvent.target)&&(B.preventDefault(),this._positionDelta=B.point.sub(this._pos).add(this._offset),this._pointerdownPos=B.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=w&&w.anchor||\"center\",this._color=w&&w.color||\"#3FB1CE\",this._scale=w&&w.scale||1,this._draggable=w&&w.draggable||!1,this._clickTolerance=w&&w.clickTolerance||0,this._subpixelPositioning=w&&w.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=w&&w.rotation||0,this._rotationAlignment=w&&w.rotationAlignment||\"auto\",this._pitchAlignment=w&&w.pitchAlignment&&w.pitchAlignment!==\"auto\"?w.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(w==null?void 0:w.opacity,w==null?void 0:w.opacityWhenCovered),w&&w.element)this._element=w.element,this._offset=a.P.convert(w&&w.offset||[0,0]);else{this._defaultMarker=!0,this._element=c.create(\"div\");let B=c.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Q=41,ee=27;B.setAttributeNS(null,\"display\",\"block\"),B.setAttributeNS(null,\"height\",`${Q}px`),B.setAttributeNS(null,\"width\",`${ee}px`),B.setAttributeNS(null,\"viewBox\",`0 0 ${ee} ${Q}`);let se=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");se.setAttributeNS(null,\"stroke\",\"none\"),se.setAttributeNS(null,\"stroke-width\",\"1\"),se.setAttributeNS(null,\"fill\",\"none\"),se.setAttributeNS(null,\"fill-rule\",\"evenodd\");let qe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");qe.setAttributeNS(null,\"fill-rule\",\"nonzero\");let je=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");je.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),je.setAttributeNS(null,\"fill\",\"#000000\");let it=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(let Oe of it){let Je=c.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Je.setAttributeNS(null,\"opacity\",\"0.04\"),Je.setAttributeNS(null,\"cx\",\"10.5\"),Je.setAttributeNS(null,\"cy\",\"5.80029008\"),Je.setAttributeNS(null,\"rx\",Oe.rx),Je.setAttributeNS(null,\"ry\",Oe.ry),je.appendChild(Je)}let yt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");yt.setAttributeNS(null,\"fill\",this._color);let Ot=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");Ot.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),yt.appendChild(Ot);let Nt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Nt.setAttributeNS(null,\"opacity\",\"0.25\"),Nt.setAttributeNS(null,\"fill\",\"#000000\");let hr=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");hr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),Nt.appendChild(hr);let Sr=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Sr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Sr.setAttributeNS(null,\"fill\",\"#FFFFFF\");let he=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");he.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");let be=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");be.setAttributeNS(null,\"fill\",\"#000000\"),be.setAttributeNS(null,\"opacity\",\"0.25\"),be.setAttributeNS(null,\"cx\",\"5.5\"),be.setAttributeNS(null,\"cy\",\"5.5\"),be.setAttributeNS(null,\"r\",\"5.4999962\");let Pe=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Pe.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Pe.setAttributeNS(null,\"cx\",\"5.5\"),Pe.setAttributeNS(null,\"cy\",\"5.5\"),Pe.setAttributeNS(null,\"r\",\"5.4999962\"),he.appendChild(be),he.appendChild(Pe),qe.appendChild(je),qe.appendChild(yt),qe.appendChild(Nt),qe.appendChild(Sr),qe.appendChild(he),B.appendChild(qe),B.setAttributeNS(null,\"height\",Q*this._scale+\"px\"),B.setAttributeNS(null,\"width\",ee*this._scale+\"px\"),this._element.appendChild(B),this._offset=a.P.convert(w&&w.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",B=>{B.preventDefault()}),this._element.addEventListener(\"mousedown\",B=>{B.preventDefault()}),Ru(this._element,this._anchor,\"marker\"),w&&w.className)for(let B of w.className.split(\" \"))this._element.classList.add(B);this._popup=null}addTo(w){return this.remove(),this._map=w,this._element.setAttribute(\"aria-label\",w._getUIString(\"Marker.Title\")),w.getCanvasContainer().appendChild(this._element),w.on(\"move\",this._update),w.on(\"moveend\",this._update),w.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),c.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(w){return this._lngLat=a.N.convert(w),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(w){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),w){if(!(\"offset\"in w.options)){let ee=Math.abs(13.5)/Math.SQRT2;w.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[ee,-1*(38.1-13.5+ee)],\"bottom-right\":[-ee,-1*(38.1-13.5+ee)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=w,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(w){return this._subpixelPositioning=w,this}getPopup(){return this._popup}togglePopup(){let w=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:w?(w.isOpen()?w.remove():(w.setLngLat(this._lngLat),w.addTo(this._map)),this):this}_updateOpacity(w=!1){var B,Q;if(!(!((B=this._map)===null||B===void 0)&&B.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(w)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout(()=>{this._opacityTimeout=null},100)}let ee=this._map,se=ee.terrain.depthAtPoint(this._pos),qe=ee.terrain.getElevationForLngLatZoom(this._lngLat,ee.transform.tileZoom);if(ee.transform.lngLatToCameraDepth(this._lngLat,qe)-se<.006)return void(this._element.style.opacity=this._opacity);let je=-this._offset.y/ee.transform._pixelPerMeter,it=Math.sin(ee.getPitch()*Math.PI/180)*je,yt=ee.terrain.depthAtPoint(new a.P(this._pos.x,this._pos.y-this._offset.y)),Ot=ee.transform.lngLatToCameraDepth(this._lngLat,qe+it)-yt>.006;!((Q=this._popup)===null||Q===void 0)&&Q.isOpen()&&Ot&&this._popup.remove(),this._element.style.opacity=Ot?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(w){return this._offset=a.P.convert(w),this._update(),this}addClassName(w){this._element.classList.add(w)}removeClassName(w){this._element.classList.remove(w)}toggleClassName(w){return this._element.classList.toggle(w)}setDraggable(w){return this._draggable=!!w,this._map&&(w?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(w){return this._rotation=w||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(w){return this._rotationAlignment=w||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(w){return this._pitchAlignment=w&&w!==\"auto\"?w:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(w,B){return w===void 0&&B===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),w!==void 0&&(this._opacity=w),B!==void 0&&(this._opacityWhenCovered=B),this._map&&this._updateOpacity(!0),this}}let mf={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},bu=0,Kc=!1,Du={maxWidth:100,unit:\"metric\"};function Dc(le,w,B){let Q=B&&B.maxWidth||100,ee=le._container.clientHeight/2,se=le.unproject([0,ee]),qe=le.unproject([Q,ee]),je=se.distanceTo(qe);if(B&&B.unit===\"imperial\"){let it=3.2808*je;it>5280?Da(w,Q,it/5280,le._getUIString(\"ScaleControl.Miles\")):Da(w,Q,it,le._getUIString(\"ScaleControl.Feet\"))}else B&&B.unit===\"nautical\"?Da(w,Q,je/1852,le._getUIString(\"ScaleControl.NauticalMiles\")):je>=1e3?Da(w,Q,je/1e3,le._getUIString(\"ScaleControl.Kilometers\")):Da(w,Q,je,le._getUIString(\"ScaleControl.Meters\"))}function Da(le,w,B,Q){let ee=function(se){let qe=Math.pow(10,`${Math.floor(se)}`.length-1),je=se/qe;return je=je>=10?10:je>=5?5:je>=3?3:je>=2?2:je>=1?1:function(it){let yt=Math.pow(10,Math.ceil(-Math.log(it)/Math.LN10));return Math.round(it*yt)/yt}(je),qe*je}(B);le.style.width=w*(ee/B)+\"px\",le.innerHTML=`${ee}&nbsp;${Q}`}let eo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Jc=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function yc(le){if(le){if(typeof le==\"number\"){let w=Math.round(Math.abs(le)/Math.SQRT2);return{center:new a.P(0,0),top:new a.P(0,le),\"top-left\":new a.P(w,w),\"top-right\":new a.P(-w,w),bottom:new a.P(0,-le),\"bottom-left\":new a.P(w,-w),\"bottom-right\":new a.P(-w,-w),left:new a.P(le,0),right:new a.P(-le,0)}}if(le instanceof a.P||Array.isArray(le)){let w=a.P.convert(le);return{center:w,top:w,\"top-left\":w,\"top-right\":w,bottom:w,\"bottom-left\":w,\"bottom-right\":w,left:w,right:w}}return{center:a.P.convert(le.center||[0,0]),top:a.P.convert(le.top||[0,0]),\"top-left\":a.P.convert(le[\"top-left\"]||[0,0]),\"top-right\":a.P.convert(le[\"top-right\"]||[0,0]),bottom:a.P.convert(le.bottom||[0,0]),\"bottom-left\":a.P.convert(le[\"bottom-left\"]||[0,0]),\"bottom-right\":a.P.convert(le[\"bottom-right\"]||[0,0]),left:a.P.convert(le.left||[0,0]),right:a.P.convert(le.right||[0,0])}}return yc(new a.P(0,0))}let _c=o;i.AJAXError=a.bh,i.Evented=a.E,i.LngLat=a.N,i.MercatorCoordinate=a.Z,i.Point=a.P,i.addProtocol=a.bi,i.config=a.a,i.removeProtocol=a.bj,i.AttributionControl=qa,i.BoxZoomHandler=xu,i.CanvasSource=Ct,i.CooperativeGesturesHandler=qi,i.DoubleClickZoomHandler=fi,i.DragPanHandler=Xi,i.DragRotateHandler=hn,i.EdgeInsets=ic,i.FullscreenControl=class extends a.E{constructor(le={}){super(),this._onFullscreenChange=()=>{var w;let B=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((w=B==null?void 0:B.shadowRoot)===null||w===void 0)&&w.fullscreenElement;)B=B.shadowRoot.fullscreenElement;B===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,le&&le.container&&(le.container instanceof HTMLElement?this._container=le.container:a.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(le){return this._map=le,this._container||(this._container=this._map.getContainer()),this._controlContainer=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){c.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let le=this._fullscreenButton=c.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);c.create(\"span\",\"maplibregl-ctrl-icon\",le).setAttribute(\"aria-hidden\",\"true\"),le.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let le=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",le),this._fullscreenButton.title=le}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new a.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new a.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}},i.GeoJSONSource=rt,i.GeolocateControl=class extends a.E{constructor(le){super(),this._onSuccess=w=>{if(this._map){if(this._isOutOfMapMaxBounds(w))return this._setErrorState(),this.fire(new a.k(\"outofmaxbounds\",w)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=w,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(w),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(w),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"geolocate\",w)),this._finish()}},this._updateCamera=w=>{let B=new a.N(w.coords.longitude,w.coords.latitude),Q=w.coords.accuracy,ee=this._map.getBearing(),se=a.e({bearing:ee},this.options.fitBoundsOptions),qe=ce.fromLngLat(B,Q);this._map.fitBounds(qe,se,{geolocateSource:!0})},this._updateMarker=w=>{if(w){let B=new a.N(w.coords.longitude,w.coords.latitude);this._accuracyCircleMarker.setLngLat(B).addTo(this._map),this._userLocationDotMarker.setLngLat(B).addTo(this._map),this._accuracy=w.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=w=>{if(this._map){if(this.options.trackUserLocation)if(w.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(w.code===3&&Kc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"error\",w)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this._geolocateButton=c.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=w=>{if(this._map){if(w===!1){a.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}else{let B=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=c.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new ac({element:this._dotElement}),this._circleElement=c.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new ac({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",()=>this.trigger()),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",B=>{B.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||B.originalEvent&&B.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new a.k(\"trackuserlocationend\")),this.fire(new a.k(\"userlocationlostfocus\")))})}},this.options=a.e({},mf,le)}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return a._(this,arguments,void 0,function*(w=!1){if(vs!==void 0&&!w)return vs;if(window.navigator.permissions===void 0)return vs=!!window.navigator.geolocation,vs;try{vs=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch(B){vs=!!window.navigator.geolocation}return vs})}().then(w=>this._finishSetupUI(w)),this._container}onRemove(){this._geolocationWatchID!==void 0&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),c.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,bu=0,Kc=!1}_isOutOfMapMaxBounds(le){let w=this._map.getMaxBounds(),B=le.coords;return w&&(B.longitude<w.getWest()||B.longitude>w.getEast()||B.latitude<w.getSouth()||B.latitude>w.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){let le=this._map.getBounds(),w=le.getSouthEast(),B=le.getNorthEast(),Q=w.distanceTo(B),ee=Math.ceil(this._accuracy/(Q/this._map._container.clientHeight)*2);this._circleElement.style.width=`${ee}px`,this._circleElement.style.height=`${ee}px`}trigger(){if(!this._setup)return a.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new a.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":bu--,Kc=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new a.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new a.k(\"trackuserlocationstart\")),this.fire(new a.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let le;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),bu++,bu>1?(le={maximumAge:6e5,timeout:0},Kc=!0):(le=this.options.positionOptions,Kc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,le)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}},i.Hash=gd,i.ImageSource=Rt,i.KeyboardHandler=Bt,i.LngLatBounds=ce,i.LogoControl=Cn,i.Map=class extends Ta{constructor(le){a.bf.mark(a.bg.create);let w=Object.assign(Object.assign({},Gs),le);if(w.minZoom!=null&&w.maxZoom!=null&&w.minZoom>w.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(w.minPitch!=null&&w.maxPitch!=null&&w.minPitch>w.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(w.minPitch!=null&&w.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(w.maxPitch!=null&&w.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new Qs(w.minZoom,w.maxZoom,w.minPitch,w.maxPitch,w.renderWorldCopies),{bearingSnap:w.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new sn,this._controls=[],this._mapId=a.a4(),this._contextLost=B=>{B.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new a.k(\"webglcontextlost\",{originalEvent:B}))},this._contextRestored=B=>{this._setupPainter(),this.resize(),this._update(),this.fire(new a.k(\"webglcontextrestored\",{originalEvent:B}))},this._onMapScroll=B=>{if(B.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=w.interactive,this._maxTileCacheSize=w.maxTileCacheSize,this._maxTileCacheZoomLevels=w.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=w.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=w.preserveDrawingBuffer===!0,this._antialias=w.antialias===!0,this._trackResize=w.trackResize===!0,this._bearingSnap=w.bearingSnap,this._refreshExpiredTiles=w.refreshExpiredTiles===!0,this._fadeDuration=w.fadeDuration,this._crossSourceCollisions=w.crossSourceCollisions===!0,this._collectResourceTiming=w.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},Bo),w.locale),this._clickTolerance=w.clickTolerance,this._overridePixelRatio=w.pixelRatio,this._maxCanvasSize=w.maxCanvasSize,this.transformCameraUpdate=w.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=w.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=g.addThrottleControl(()=>this.isMoving()),this._requestManager=new E(w.transformRequest),typeof w.container==\"string\"){if(this._container=document.getElementById(w.container),!this._container)throw new Error(`Container '${w.container}' not found.`)}else{if(!(w.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=w.container}if(w.maxBounds&&this.setMaxBounds(w.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",()=>this._update(!1)).on(\"moveend\",()=>this._update(!1)).on(\"zoom\",()=>this._update(!0)).on(\"terrain\",()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)}).once(\"idle\",()=>{this._idleTriggered=!0}),typeof window!=\"undefined\"){addEventListener(\"online\",this._onWindowOnline,!1);let B=!1,Q=Qh(ee=>{this._trackResize&&!this._removed&&(this.resize(ee),this.redraw())},50);this._resizeObserver=new ResizeObserver(ee=>{B?Q(ee):B=!0}),this._resizeObserver.observe(this._container)}this.handlers=new Ma(this,w),this._hash=w.hash&&new gd(typeof w.hash==\"string\"&&w.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:w.center,zoom:w.zoom,bearing:w.bearing,pitch:w.pitch}),w.bounds&&(this.resize(),this.fitBounds(w.bounds,a.e({},w.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=w.localIdeographFontFamily,this._validateStyle=w.validateStyle,w.style&&this.setStyle(w.style,{localIdeographFontFamily:w.localIdeographFontFamily}),w.attributionControl&&this.addControl(new qa(typeof w.attributionControl==\"boolean\"?void 0:w.attributionControl)),w.maplibreLogo&&this.addControl(new Cn,w.logoPosition),this.on(\"style.load\",()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)}),this.on(\"data\",B=>{this._update(B.dataType===\"style\"),this.fire(new a.k(`${B.dataType}data`,B))}),this.on(\"dataloading\",B=>{this.fire(new a.k(`${B.dataType}dataloading`,B))}),this.on(\"dataabort\",B=>{this.fire(new a.k(\"sourcedataabort\",B))})}_getMapId(){return this._mapId}addControl(le,w){if(w===void 0&&(w=le.getDefaultPosition?le.getDefaultPosition():\"top-right\"),!le||!le.onAdd)return this.fire(new a.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let B=le.onAdd(this);this._controls.push(le);let Q=this._controlPositions[w];return w.indexOf(\"bottom\")!==-1?Q.insertBefore(B,Q.firstChild):Q.appendChild(B),this}removeControl(le){if(!le||!le.onRemove)return this.fire(new a.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let w=this._controls.indexOf(le);return w>-1&&this._controls.splice(w,1),le.onRemove(this),this}hasControl(le){return this._controls.indexOf(le)>-1}calculateCameraOptionsFromTo(le,w,B,Q){return Q==null&&this.terrain&&(Q=this.terrain.getElevationForLngLatZoom(B,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(le,w,B,Q)}resize(le){var w;let B=this._containerDimensions(),Q=B[0],ee=B[1],se=this._getClampedPixelRatio(Q,ee);if(this._resizeCanvas(Q,ee,se),this.painter.resize(Q,ee,se),this.painter.overLimit()){let je=this.painter.context.gl;this._maxCanvasSize=[je.drawingBufferWidth,je.drawingBufferHeight];let it=this._getClampedPixelRatio(Q,ee);this._resizeCanvas(Q,ee,it),this.painter.resize(Q,ee,it)}this.transform.resize(Q,ee),(w=this._requestedCameraState)===null||w===void 0||w.resize(Q,ee);let qe=!this._moving;return qe&&(this.stop(),this.fire(new a.k(\"movestart\",le)).fire(new a.k(\"move\",le))),this.fire(new a.k(\"resize\",le)),qe&&this.fire(new a.k(\"moveend\",le)),this}_getClampedPixelRatio(le,w){let{0:B,1:Q}=this._maxCanvasSize,ee=this.getPixelRatio(),se=le*ee,qe=w*ee;return Math.min(se>B?B/se:1,qe>Q?Q/qe:1)*ee}getPixelRatio(){var le;return(le=this._overridePixelRatio)!==null&&le!==void 0?le:devicePixelRatio}setPixelRatio(le){this._overridePixelRatio=le,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(le){return this.transform.setMaxBounds(ce.convert(le)),this._update()}setMinZoom(le){if((le=le==null?-2:le)>=-2&&le<=this.transform.maxZoom)return this.transform.minZoom=le,this._update(),this.getZoom()<le&&this.setZoom(le),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(le){if((le=le==null?22:le)>=this.transform.minZoom)return this.transform.maxZoom=le,this._update(),this.getZoom()>le&&this.setZoom(le),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(le){if((le=le==null?0:le)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(le>=0&&le<=this.transform.maxPitch)return this.transform.minPitch=le,this._update(),this.getPitch()<le&&this.setPitch(le),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(le){if((le=le==null?60:le)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(le>=this.transform.minPitch)return this.transform.maxPitch=le,this._update(),this.getPitch()>le&&this.setPitch(le),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(le){return this.transform.renderWorldCopies=le,this._update()}project(le){return this.transform.locationPoint(a.N.convert(le),this.style&&this.terrain)}unproject(le){return this.transform.pointLocation(a.P.convert(le),this.terrain)}isMoving(){var le;return this._moving||((le=this.handlers)===null||le===void 0?void 0:le.isMoving())}isZooming(){var le;return this._zooming||((le=this.handlers)===null||le===void 0?void 0:le.isZooming())}isRotating(){var le;return this._rotating||((le=this.handlers)===null||le===void 0?void 0:le.isRotating())}_createDelegatedListener(le,w,B){if(le===\"mouseenter\"||le===\"mouseover\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:se=>{let qe=w.filter(it=>this.getLayer(it)),je=qe.length!==0?this.queryRenderedFeatures(se.point,{layers:qe}):[];je.length?Q||(Q=!0,B.call(this,new tu(le,this,se.originalEvent,{features:je}))):Q=!1},mouseout:()=>{Q=!1}}}}if(le===\"mouseleave\"||le===\"mouseout\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:qe=>{let je=w.filter(it=>this.getLayer(it));(je.length!==0?this.queryRenderedFeatures(qe.point,{layers:je}):[]).length?Q=!0:Q&&(Q=!1,B.call(this,new tu(le,this,qe.originalEvent)))},mouseout:qe=>{Q&&(Q=!1,B.call(this,new tu(le,this,qe.originalEvent)))}}}}{let Q=ee=>{let se=w.filter(je=>this.getLayer(je)),qe=se.length!==0?this.queryRenderedFeatures(ee.point,{layers:se}):[];qe.length&&(ee.features=qe,B.call(this,ee),delete ee.features)};return{layers:w,listener:B,delegates:{[le]:Q}}}}_saveDelegatedListener(le,w){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[le]=this._delegatedListeners[le]||[],this._delegatedListeners[le].push(w)}_removeDelegatedListener(le,w,B){if(!this._delegatedListeners||!this._delegatedListeners[le])return;let Q=this._delegatedListeners[le];for(let ee=0;ee<Q.length;ee++){let se=Q[ee];if(se.listener===B&&se.layers.length===w.length&&se.layers.every(qe=>w.includes(qe))){for(let qe in se.delegates)this.off(qe,se.delegates[qe]);return void Q.splice(ee,1)}}}on(le,w,B){if(B===void 0)return super.on(le,w);let Q=this._createDelegatedListener(le,typeof w==\"string\"?[w]:w,B);this._saveDelegatedListener(le,Q);for(let ee in Q.delegates)this.on(ee,Q.delegates[ee]);return this}once(le,w,B){if(B===void 0)return super.once(le,w);let Q=typeof w==\"string\"?[w]:w,ee=this._createDelegatedListener(le,Q,B);for(let se in ee.delegates){let qe=ee.delegates[se];ee.delegates[se]=(...je)=>{this._removeDelegatedListener(le,Q,B),qe(...je)}}this._saveDelegatedListener(le,ee);for(let se in ee.delegates)this.once(se,ee.delegates[se]);return this}off(le,w,B){return B===void 0?super.off(le,w):(this._removeDelegatedListener(le,typeof w==\"string\"?[w]:w,B),this)}queryRenderedFeatures(le,w){if(!this.style)return[];let B,Q=le instanceof a.P||Array.isArray(le),ee=Q?le:[[0,0],[this.transform.width,this.transform.height]];if(w=w||(Q?{}:le)||{},ee instanceof a.P||typeof ee[0]==\"number\")B=[a.P.convert(ee)];else{let se=a.P.convert(ee[0]),qe=a.P.convert(ee[1]);B=[se,new a.P(qe.x,se.y),qe,new a.P(se.x,qe.y),se]}return this.style.queryRenderedFeatures(B,w,this.transform)}querySourceFeatures(le,w){return this.style.querySourceFeatures(le,w)}setStyle(le,w){return(w=a.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},w)).diff!==!1&&w.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&le?(this._diffStyle(le,w),this):(this._localIdeographFontFamily=w.localIdeographFontFamily,this._updateStyle(le,w))}setTransformRequest(le){return this._requestManager.setTransformRequest(le),this}_getUIString(le){let w=this._locale[le];if(w==null)throw new Error(`Missing UI string '${le}'`);return w}_updateStyle(le,w){if(w.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",()=>this._updateStyle(le,w));let B=this.style&&w.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!le)),le?(this.style=new Ha(this,w||{}),this.style.setEventedParent(this,{style:this.style}),typeof le==\"string\"?this.style.loadURL(le,w,B):this.style.loadJSON(le,w,B),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new Ha(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(le,w){if(typeof le==\"string\"){let B=this._requestManager.transformRequest(le,\"Style\");a.h(B,new AbortController).then(Q=>{this._updateDiff(Q.data,w)}).catch(Q=>{Q&&this.fire(new a.j(Q))})}else typeof le==\"object\"&&this._updateDiff(le,w)}_updateDiff(le,w){try{this.style.setState(le,w)&&this._update(!0)}catch(B){a.w(`Unable to perform style diff: ${B.message||B.error||B}.  Rebuilding the style from scratch.`),this._updateStyle(le,w)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():a.w(\"There is no style added to the map.\")}addSource(le,w){return this._lazyInitEmptyStyle(),this.style.addSource(le,w),this._update(!0)}isSourceLoaded(le){let w=this.style&&this.style.sourceCaches[le];if(w!==void 0)return w.loaded();this.fire(new a.j(new Error(`There is no source with ID '${le}'`)))}setTerrain(le){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),le){let w=this.style.sourceCaches[le.source];if(!w)throw new Error(`cannot load terrain, because there exists no source with ID: ${le.source}`);this.terrain===null&&w.reload();for(let B in this.style._layers){let Q=this.style._layers[B];Q.type===\"hillshade\"&&Q.source===le.source&&a.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Xo(this.painter,w,le),this.painter.renderToTexture=new ys(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=B=>{B.dataType===\"style\"?this.terrain.sourceCache.freeRtt():B.dataType===\"source\"&&B.tile&&(B.sourceId!==le.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(B.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new a.k(\"terrain\",{terrain:le})),this}getTerrain(){var le,w;return(w=(le=this.terrain)===null||le===void 0?void 0:le.options)!==null&&w!==void 0?w:null}areTilesLoaded(){let le=this.style&&this.style.sourceCaches;for(let w in le){let B=le[w]._tiles;for(let Q in B){let ee=B[Q];if(ee.state!==\"loaded\"&&ee.state!==\"errored\")return!1}}return!0}removeSource(le){return this.style.removeSource(le),this._update(!0)}getSource(le){return this.style.getSource(le)}addImage(le,w,B={}){let{pixelRatio:Q=1,sdf:ee=!1,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt}=B;if(this._lazyInitEmptyStyle(),!(w instanceof HTMLImageElement||a.b(w))){if(w.width===void 0||w.height===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{let{width:Ot,height:Nt,data:hr}=w,Sr=w;return this.style.addImage(le,{data:new a.R({width:Ot,height:Nt},new Uint8Array(hr)),pixelRatio:Q,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt,sdf:ee,version:0,userImage:Sr}),Sr.onAdd&&Sr.onAdd(this,le),this}}{let{width:Ot,height:Nt,data:hr}=u.getImageData(w);this.style.addImage(le,{data:new a.R({width:Ot,height:Nt},hr),pixelRatio:Q,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt,sdf:ee,version:0})}}updateImage(le,w){let B=this.style.getImage(le);if(!B)return this.fire(new a.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let Q=w instanceof HTMLImageElement||a.b(w)?u.getImageData(w):w,{width:ee,height:se,data:qe}=Q;if(ee===void 0||se===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(ee!==B.data.width||se!==B.data.height)return this.fire(new a.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let je=!(w instanceof HTMLImageElement||a.b(w));return B.data.replace(qe,je),this.style.updateImage(le,B),this}getImage(le){return this.style.getImage(le)}hasImage(le){return le?!!this.style.getImage(le):(this.fire(new a.j(new Error(\"Missing required image id\"))),!1)}removeImage(le){this.style.removeImage(le)}loadImage(le){return g.getImage(this._requestManager.transformRequest(le,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(le,w){return this._lazyInitEmptyStyle(),this.style.addLayer(le,w),this._update(!0)}moveLayer(le,w){return this.style.moveLayer(le,w),this._update(!0)}removeLayer(le){return this.style.removeLayer(le),this._update(!0)}getLayer(le){return this.style.getLayer(le)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(le,w,B){return this.style.setLayerZoomRange(le,w,B),this._update(!0)}setFilter(le,w,B={}){return this.style.setFilter(le,w,B),this._update(!0)}getFilter(le){return this.style.getFilter(le)}setPaintProperty(le,w,B,Q={}){return this.style.setPaintProperty(le,w,B,Q),this._update(!0)}getPaintProperty(le,w){return this.style.getPaintProperty(le,w)}setLayoutProperty(le,w,B,Q={}){return this.style.setLayoutProperty(le,w,B,Q),this._update(!0)}getLayoutProperty(le,w){return this.style.getLayoutProperty(le,w)}setGlyphs(le,w={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(le,w),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(le,w,B={}){return this._lazyInitEmptyStyle(),this.style.addSprite(le,w,B,Q=>{Q||this._update(!0)}),this}removeSprite(le){return this._lazyInitEmptyStyle(),this.style.removeSprite(le),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(le,w={}){return this._lazyInitEmptyStyle(),this.style.setSprite(le,w,B=>{B||this._update(!0)}),this}setLight(le,w={}){return this._lazyInitEmptyStyle(),this.style.setLight(le,w),this._update(!0)}getLight(){return this.style.getLight()}setSky(le){return this._lazyInitEmptyStyle(),this.style.setSky(le),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(le,w){return this.style.setFeatureState(le,w),this._update()}removeFeatureState(le,w){return this.style.removeFeatureState(le,w),this._update()}getFeatureState(le){return this.style.getFeatureState(le)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let le=0,w=0;return this._container&&(le=this._container.clientWidth||400,w=this._container.clientHeight||300),[le,w]}_setupContainer(){let le=this._container;le.classList.add(\"maplibregl-map\");let w=this._canvasContainer=c.create(\"div\",\"maplibregl-canvas-container\",le);this._interactive&&w.classList.add(\"maplibregl-interactive\"),this._canvas=c.create(\"canvas\",\"maplibregl-canvas\",w),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");let B=this._containerDimensions(),Q=this._getClampedPixelRatio(B[0],B[1]);this._resizeCanvas(B[0],B[1],Q);let ee=this._controlContainer=c.create(\"div\",\"maplibregl-control-container\",le),se=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(qe=>{se[qe]=c.create(\"div\",`maplibregl-ctrl-${qe} `,ee)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(le,w,B){this._canvas.width=Math.floor(B*le),this._canvas.height=Math.floor(B*w),this._canvas.style.width=`${le}px`,this._canvas.style.height=`${w}px`}_setupPainter(){let le={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},w=null;this._canvas.addEventListener(\"webglcontextcreationerror\",Q=>{w={requestedAttributes:le},Q&&(w.statusMessage=Q.statusMessage,w.type=Q.type)},{once:!0});let B=this._canvas.getContext(\"webgl2\",le)||this._canvas.getContext(\"webgl\",le);if(!B){let Q=\"Failed to initialize WebGL\";throw w?(w.message=Q,new Error(JSON.stringify(w))):new Error(Q)}this.painter=new Lc(B,this.transform),f.testSupport(B)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(le){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||le,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(le){return this._update(),this._renderTaskQueue.add(le)}_cancelRenderFrame(le){this._renderTaskQueue.remove(le)}_render(le){let w=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(le),this._removed)return;let B=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let ee=this.transform.zoom,se=u.now();this.style.zoomHistory.update(ee,se);let qe=new a.z(ee,{now:se,fadeDuration:w,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),je=qe.crossFadingFactor();je===1&&je===this._crossFadingFactor||(B=!0,this._crossFadingFactor=je),this.style.update(qe)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,w,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:w,showPadding:this.showPadding}),this.fire(new a.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,a.bf.mark(a.bg.load),this.fire(new a.k(\"load\"))),this.style&&(this.style.hasTransitions()||B)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let Q=this._sourcesDirty||this._styleDirty||this._placementDirty;return Q||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new a.k(\"idle\")),!this._loaded||this._fullyLoaded||Q||(this._fullyLoaded=!0,a.bf.mark(a.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var le;this._hash&&this._hash.remove();for(let B of this._controls)B.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof window!=\"undefined\"&&removeEventListener(\"online\",this._onWindowOnline,!1),g.removeThrottleControl(this._imageQueueHandle),(le=this._resizeObserver)===null||le===void 0||le.disconnect();let w=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");w!=null&&w.loseContext&&w.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),c.remove(this._canvasContainer),c.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),a.bf.clearMetrics(),this._removed=!0,this.fire(new a.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(le=>{a.bf.frame(le),this._frameRequest=null,this._render(le)}).catch(()=>{}))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(le){this._showTileBoundaries!==le&&(this._showTileBoundaries=le,this._update())}get showPadding(){return!!this._showPadding}set showPadding(le){this._showPadding!==le&&(this._showPadding=le,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(le){this._showCollisionBoxes!==le&&(this._showCollisionBoxes=le,le?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(le){this._showOverdrawInspector!==le&&(this._showOverdrawInspector=le,this._update())}get repaint(){return!!this._repaint}set repaint(le){this._repaint!==le&&(this._repaint=le,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(le){this._vertices=le,this._update()}get version(){return yl}getCameraTargetElevation(){return this.transform.elevation}},i.MapMouseEvent=tu,i.MapTouchEvent=vf,i.MapWheelEvent=md,i.Marker=ac,i.NavigationControl=class{constructor(le){this._updateZoomButtons=()=>{let w=this._map.getZoom(),B=w===this._map.getMaxZoom(),Q=w===this._map.getMinZoom();this._zoomInButton.disabled=B,this._zoomOutButton.disabled=Q,this._zoomInButton.setAttribute(\"aria-disabled\",B.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",Q.toString())},this._rotateCompassArrow=()=>{let w=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=w},this._setButtonTitle=(w,B)=>{let Q=this._map._getUIString(`NavigationControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)},this.options=a.e({},ia,le),this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",w=>this._map.zoomIn({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",w=>this._map.zoomOut({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",w=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:w}):this._map.resetNorth({},{originalEvent:w})}),this._compassIcon=c.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(le){return this._map=le,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ka(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){c.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map}_createButton(le,w){let B=c.create(\"button\",le,this._container);return B.type=\"button\",B.addEventListener(\"click\",w),B}},i.Popup=class extends a.E{constructor(le){super(),this.remove=()=>(this._content&&c.remove(this._content),this._container&&(c.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new a.k(\"close\"))),this),this._onMouseUp=w=>{this._update(w.point)},this._onMouseMove=w=>{this._update(w.point)},this._onDrag=w=>{this._update(w.point)},this._update=w=>{var B;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=c.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=c.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let je of this.options.className.split(\" \"))this._container.classList.add(je);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?Ko(this._lngLat,this._flatPos,this._map.transform):(B=this._lngLat)===null||B===void 0?void 0:B.wrap(),this._trackPointer&&!w)return;let Q=this._flatPos=this._pos=this._trackPointer&&w?w:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&w?w:this._map.transform.locationPoint(this._lngLat));let ee=this.options.anchor,se=yc(this.options.offset);if(!ee){let je=this._container.offsetWidth,it=this._container.offsetHeight,yt;yt=Q.y+se.bottom.y<it?[\"top\"]:Q.y>this._map.transform.height-it?[\"bottom\"]:[],Q.x<je/2?yt.push(\"left\"):Q.x>this._map.transform.width-je/2&&yt.push(\"right\"),ee=yt.length===0?\"bottom\":yt.join(\"-\")}let qe=Q.add(se[ee]);this.options.subpixelPositioning||(qe=qe.round()),c.setTransform(this._container,`${iu[ee]} translate(${qe.x}px,${qe.y}px)`),Ru(this._container,ee,\"popup\")},this._onClose=()=>{this.remove()},this.options=a.e(Object.create(eo),le)}addTo(le){return this._map&&this.remove(),this._map=le,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new a.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(le){return this._lngLat=a.N.convert(le),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(le){return this.setDOMContent(document.createTextNode(le))}setHTML(le){let w=document.createDocumentFragment(),B=document.createElement(\"body\"),Q;for(B.innerHTML=le;Q=B.firstChild,Q;)w.appendChild(Q);return this.setDOMContent(w)}getMaxWidth(){var le;return(le=this._container)===null||le===void 0?void 0:le.style.maxWidth}setMaxWidth(le){return this.options.maxWidth=le,this._update(),this}setDOMContent(le){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=c.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(le),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(le){return this._container&&this._container.classList.add(le),this}removeClassName(le){return this._container&&this._container.classList.remove(le),this}setOffset(le){return this.options.offset=le,this._update(),this}toggleClassName(le){if(this._container)return this._container.classList.toggle(le)}setSubpixelPositioning(le){this.options.subpixelPositioning=le}_createCloseButton(){this.options.closeButton&&(this._closeButton=c.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;let le=this._container.querySelector(Jc);le&&le.focus()}},i.RasterDEMTileSource=qt,i.RasterTileSource=ct,i.ScaleControl=class{constructor(le){this._onMove=()=>{Dc(this._map,this._container,this.options)},this.setUnit=w=>{this.options.unit=w,Dc(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},Du),le)}getDefaultPosition(){return\"bottom-left\"}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",le.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){c.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},i.ScrollZoomHandler=Ur,i.Style=Ha,i.TerrainControl=class{constructor(le){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=le}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=c.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){c.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},i.TwoFingersTouchPitchHandler=gf,i.TwoFingersTouchRotateHandler=Yc,i.TwoFingersTouchZoomHandler=ru,i.TwoFingersTouchZoomRotateHandler=Ti,i.VectorTileSource=nt,i.VideoSource=kt,i.addSourceType=(le,w)=>a._(void 0,void 0,void 0,function*(){if(xr(le))throw new Error(`A source type called \"${le}\" already exists.`);((B,Q)=>{Yt[B]=Q})(le,w)}),i.clearPrewarmedResources=function(){let le=ge;le&&(le.isPreloaded()&&le.numActive()===1?(le.release(_e),ge=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},i.getMaxParallelImageRequests=function(){return a.a.MAX_PARALLEL_IMAGE_REQUESTS},i.getRTLTextPluginStatus=function(){return bt().getRTLTextPluginStatus()},i.getVersion=function(){return _c},i.getWorkerCount=function(){return Me.workerCount},i.getWorkerUrl=function(){return a.a.WORKER_URL},i.importScriptInWorkers=function(le){return Ae().broadcast(\"IS\",le)},i.prewarm=function(){Te().acquire(_e)},i.setMaxParallelImageRequests=function(le){a.a.MAX_PARALLEL_IMAGE_REQUESTS=le},i.setRTLTextPlugin=function(le,w){return bt().setRTLTextPlugin(le,w)},i.setWorkerCount=function(le){Me.workerCount=le},i.setWorkerUrl=function(le){a.a.WORKER_URL=le}});var n=e;return n})});var VHe=ye((R1r,UHe)=>{\"use strict\";var iw=Mr(),sjt=Ll().sanitizeHTML,ljt=uJ(),OHe=bx();function BHe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=OHe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ag=BHe.prototype;ag.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=i7(t)};ag.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ag.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ag.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ag.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ag.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ag.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!i7(e)){var r=ujt(e);t.addSource(this.idSource,r)}};ag.findFollowingMapLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(OHe.traceLayerPrefix)===0){e=n;break}}return e};ag.updateLayer=function(e){var t=this.subplot,r=NHe(e),n=this.lookupBelow(),i=this.findFollowingMapLayerId(n);this.removeLayer(),i7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ag.updateStyle=function(e){if(i7(e)){var t=NHe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ag.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ag.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function i7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return iw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function NHe(e){var t={},r={};switch(e.type){case\"circle\":iw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":iw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":iw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=ljt(n.textposition,n.iconsize);iw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),iw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":iw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function ujt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=sjt(e.sourceattribution)),n}UHe.exports=function(t,r,n){var i=new BHe(t,r);return i.update(n),i}});var KHe=ye((D1r,YHe)=>{\"use strict\";var pJ=qHe(),gJ=Mr(),jHe=ix(),HHe=ba(),cjt=Qa(),fjt=gv(),n7=Nc(),WHe=Sg(),hjt=WHe.drawMode,djt=WHe.selectMode,vjt=wf().prepSelect,pjt=wf().clearOutline,gjt=wf().clearSelectionsCache,mjt=wf().selectOnClick,nw=bx(),yjt=VHe();function ZHe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Sh=ZHe.prototype;Sh.plot=function(e,t,r){var n=this,i;n.map?i=new Promise(function(a,o){n.updateMap(e,t,a,o)}):i=new Promise(function(a,o){n.createMap(e,t,a,o)}),r.push(i)};Sh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=XHe(a.style),s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new pJ.Map({container:i.div,style:o.style,center:mJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new pJ.AttributionControl({compact:!0})),c={};u.on(\"styleimagemissing\",function(h){var d=h.id;if(!c[d]&&d.includes(\"-15\")){c[d]=!0;var v=new Image(15,15);v.onload=function(){u.addImage(d,v)},v.crossOrigin=\"Anonymous\",v.src=\"https://unpkg.com/maki@2.1.0/icons/\"+d+\".svg\"}}),u.setTransformRequest(function(h){return h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:h}}),u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var f=[];f.push(new Promise(function(h){u.once(\"load\",h)})),f=f.concat(jHe.fetchTraceGeoData(e)),Promise.all(f).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Sh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=XHe(o.style);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(jHe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Sh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var GHe={choroplethmap:0,densitymap:1,scattermap:2};Sh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return GHe[f[0].trace.type]-GHe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Sh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(mJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.map?t.scrollZoom.enable():t.scrollZoom.disable()};Sh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Sh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(nw.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Sh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},cjt.setConvert(t.mockAxis,e)};Sh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];HHe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l&&l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&n7.hover(n,s,r.id)},n7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){n7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];HHe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(mJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){gjt(r.dragOptions),pjt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&mjt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&n7.click(n,l.originalEvent)}}};Sh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=gJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),djt(a)||hjt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){vjt(l,u,c,t.dragOptions,a)},fjt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Sh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Sh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(yjt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Sh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Sh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Sh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Sh.getMapLayers=function(){return this.map.getStyle().layers};Sh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}gJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Sh.project=function(e){return this.map.project(new pJ.LngLat(e[0],e[1]))};Sh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Sh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Sh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function XHe(e){var t={};return gJ.isPlainObject(e)?(t.id=e.id,t.style=e):typeof e==\"string\"?(t.id=e,nw.stylesMap[e]?t.style=nw.stylesMap[e]:t.style=e):(t.id=nw.styleValueDflt,t.style=_jt(nw.styleValueDflt)),t.transition={duration:0,delay:0},t}function _jt(e){return nw.styleUrlPrefix+e+\"-\"+nw.styleUrlSuffix}function mJ(e){return[e.lon,e.lat]}YHe.exports=ZHe});var QHe=ye((z1r,$He)=>{\"use strict\";var yJ=Mr(),xjt=k_(),bjt=Zd(),JHe=Fk();$He.exports=function(t,r,n){xjt(t,r,n,{type:\"map\",attributes:JHe,handleDefaults:wjt,partition:\"y\"})};function wjt(e,t,r){r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var n=r(\"bounds.west\"),i=r(\"bounds.east\"),a=r(\"bounds.south\"),o=r(\"bounds.north\");(n===void 0||i===void 0||a===void 0||o===void 0)&&delete t.bounds,bjt(e,t,{name:\"layers\",handleItemDefaults:Tjt}),t._input=e}function Tjt(e,t){function r(l,u){return yJ.coerce(e,t,JHe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",yJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),yJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var o7=ye(l0=>{\"use strict\";var a7=Mr(),eGe=a7.strTranslate,Ajt=a7.strScale,Sjt=kd().getSubplotCalcData,Mjt=Zp(),Ejt=xa(),tGe=ao(),kjt=Ll(),Cjt=KHe(),wx=\"map\";l0.name=wx;l0.attr=\"subplot\";l0.idRoot=wx;l0.idRegex=l0.attrRegex=a7.counterRegex(wx);l0.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}};l0.layoutAttributes=Fk();l0.supplyLayoutDefaults=QHe();l0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[wx],a=0;a<i.length;a++){var o=i[a],s=Sjt(n,wx,o),l=r[o],u=l._subplot;u||(u=new Cjt(t,o),r[o]._subplot=u),u.viewInitial||(u.viewInitial={center:a7.extendFlat({},l.center),zoom:l.zoom,bearing:l.bearing,pitch:l.pitch}),u.plot(s,r,t._promises)}};l0.clean=function(e,t,r,n){for(var i=n._subplots[wx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};l0.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[wx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:Mjt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"});var c=Ejt.select(a._subplot.div),f=c.select(\".maplibregl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),h=t._glimages.append(\"g\"),d=h.append(\"text\");d.text(f).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":f});var v=tGe.bBox(d.node()),x=n.w*(o.x[1]-o.x[0]);if(v.width>x/2){var b=f.split(\"|\").join(\"<br>\");d.text(b).attr(\"data-unformatted\",b).call(kjt.convertToTspans,e),v=tGe.bBox(d.node())}d.attr(\"transform\",eGe(-3,-v.height+8)),h.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var g=1;v.width+6>x&&(g=x/(v.width+6));var E=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];h.attr(\"transform\",eGe(E[0],E[1])+Ajt(g))}};l0.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[wx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var iGe=ye((q1r,rGe)=>{\"use strict\";rGe.exports={attributes:JF(),supplyDefaults:pHe(),colorbar:Kd(),formatLabels:lJ(),calc:lz(),plot:CHe(),hoverPoints:r7().hoverPoints,eventData:RHe(),selectPoints:zHe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermap\",basePlotModule:o7(),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var aGe=ye((O1r,nGe)=>{\"use strict\";nGe.exports=iGe()});var _J=ye((B1r,oGe)=>{\"use strict\";var d1=J5(),Ljt=Kl(),Pjt=Wo().hovertemplateAttrs,Ijt=vl(),Tx=no().extendFlat;oGe.exports=Tx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Tx({},d1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:d1.text,hovertext:d1.hovertext,marker:{line:{color:Tx({},d1.marker.line.color,{editType:\"plot\"}),width:Tx({},d1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Tx({},d1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Tx({},d1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Tx({},d1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:d1.hoverinfo,hovertemplate:Pjt({},{keys:[\"properties\"]}),showlegend:Tx({},Ijt.showlegend,{dflt:!1})},Ljt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var lGe=ye((N1r,sGe)=>{\"use strict\";var Nk=Mr(),Rjt=Uh(),Djt=_J();sGe.exports=function(t,r,n,i){function a(c,f){return Nk.coerce(t,r,Djt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!Nk.isArrayOrTypedArray(o)||!o.length||!Nk.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||Nk.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),Rjt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),Nk.coerceSelectionMarkerOpacity(r,a)}});var xJ=ye((U1r,fGe)=>{\"use strict\";var zjt=uo(),v1=Mr(),Fjt=Mu(),qjt=ao(),Ojt=tx().makeBlank,uGe=ix();function Bjt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:Ojt()};if(!r)return a;var o=uGe.extractTraceFeature(e);if(!o)return a;var s=Fjt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;v1.isArrayOrTypedArray(l.opacity)&&(c=function(E){var k=E.mo;return zjt(k)?+v1.constrain(k,0,1):0});var f;v1.isArrayOrTypedArray(u.color)&&(f=function(E){return E.mlc});var h;v1.isArrayOrTypedArray(u.width)&&(h=function(E){return E.mlw});for(var d=0;d<e.length;d++){var v=e[d],x=v.fOut;if(x){var b=x.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=uGe.feature2polygons(x)}}var g=c?{type:\"identity\",property:\"mo\"}:l.opacity;return v1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":g}),v1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":g}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},cGe(e),a}function cGe(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=qjt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=v1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return v1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),v1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}fGe.exports={convert:Bjt,convertOnSelect:cGe}});var gGe=ye((V1r,pGe)=>{\"use strict\";var dGe=xJ().convert,Njt=xJ().convertOnSelect,hGe=bx().traceLayerPrefix;function vGe(e,t){this.type=\"choroplethmap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",hGe+t+\"-fill\"],[\"line\",hGe+t+\"-line\"]],this.below=null}var EA=vGe.prototype;EA.update=function(e){this._update(dGe(e)),e[0].trace._glTrace=this};EA.updateOnSelect=function(e){this._update(Njt(e))};EA._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};EA._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};EA._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};EA.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};pGe.exports=function(t,r){var n=r[0].trace,i=new vGe(t,n.uid),a=i.sourceId,o=dGe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var yGe=ye((H1r,mGe)=>{\"use strict\";mGe.exports={attributes:_J(),supplyDefaults:lGe(),colorbar:S_(),calc:Lz(),plot:gGe(),hoverPoints:Iz(),eventData:Rz(),selectPoints:Dz(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:o7(),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}});var xGe=ye((G1r,_Ge)=>{\"use strict\";_Ge.exports=yGe()});var wJ=ye((j1r,wGe)=>{\"use strict\";var 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xt=Ke.source.column,bt=Ke.circularLinkType,Lt=rt.links.filter(function(dt){return dt.source.column==xt&&dt.circularLinkType==bt});Ke.circularLinkType==\"bottom\"?Lt.sort(Me):Lt.sort(_e);var St=0;Lt.forEach(function(dt,Ht){dt.circularLinkID==Ke.circularLinkID&&(Ke.circularPathData.leftSmallArcRadius=p+Ke.width/2+St,Ke.circularPathData.leftLargeArcRadius=p+Ke.width/2+Ht*ot+St),St=St+dt.width}),xt=Ke.target.column,Lt=rt.links.filter(function(dt){return dt.target.column==xt&&dt.circularLinkType==bt}),Ke.circularLinkType==\"bottom\"?Lt.sort(ge):Lt.sort(ke),St=0,Lt.forEach(function(dt,Ht){dt.circularLinkID==Ke.circularLinkID&&(Ke.circularPathData.rightSmallArcRadius=p+Ke.width/2+St,Ke.circularPathData.rightLargeArcRadius=p+Ke.width/2+Ht*ot+St),St=St+dt.width}),Ke.circularLinkType==\"bottom\"?(Ke.circularPathData.verticalFullExtent=Math.max(Rt,Ke.source.y1,Ke.target.y1)+M+Ke.circularPathData.verticalBuffer,Ke.circularPathData.verticalLeftInnerExtent=Ke.circularPathData.verticalFullExtent-Ke.circularPathData.leftLargeArcRadius,Ke.circularPathData.verticalRightInnerExtent=Ke.circularPathData.verticalFullExtent-Ke.circularPathData.rightLargeArcRadius):(Ke.circularPathData.verticalFullExtent=Yt-M-Ke.circularPathData.verticalBuffer,Ke.circularPathData.verticalLeftInnerExtent=Ke.circularPathData.verticalFullExtent+Ke.circularPathData.leftLargeArcRadius,Ke.circularPathData.verticalRightInnerExtent=Ke.circularPathData.verticalFullExtent+Ke.circularPathData.rightLargeArcRadius)}Ke.circularPathData.leftInnerExtent=Ke.circularPathData.sourceX+Ke.circularPathData.leftNodeBuffer,Ke.circularPathData.rightInnerExtent=Ke.circularPathData.targetX-Ke.circularPathData.rightNodeBuffer,Ke.circularPathData.leftFullExtent=Ke.circularPathData.sourceX+Ke.circularPathData.leftLargeArcRadius+Ke.circularPathData.leftNodeBuffer,Ke.circularPathData.rightFullExtent=Ke.circularPathData.targetX-Ke.circularPathData.rightLargeArcRadius-Ke.circularPathData.rightNodeBuffer}if(Ke.circular)Ke.path=re(Ke);else{var Et=n.linkHorizontal().source(function(dt){var Ht=dt.source.x0+(dt.source.x1-dt.source.x0),$t=dt.y0;return[Ht,$t]}).target(function(dt){var Ht=dt.target.x0,$t=dt.y1;return[Ht,$t]});Ke.path=Et(Ke)}})}function re(rt){var ot=\"\";return rt.circularLinkType==\"top\"?ot=\"M\"+rt.circularPathData.sourceX+\" \"+rt.circularPathData.sourceY+\" L\"+rt.circularPathData.leftInnerExtent+\" \"+rt.circularPathData.sourceY+\" A\"+rt.circularPathData.leftLargeArcRadius+\" \"+rt.circularPathData.leftSmallArcRadius+\" 0 0 0 \"+rt.circularPathData.leftFullExtent+\" \"+(rt.circularPathData.sourceY-rt.circularPathData.leftSmallArcRadius)+\" L\"+rt.circularPathData.leftFullExtent+\" \"+rt.circularPathData.verticalLeftInnerExtent+\" A\"+rt.circularPathData.leftLargeArcRadius+\" \"+rt.circularPathData.leftLargeArcRadius+\" 0 0 0 \"+rt.circularPathData.leftInnerExtent+\" \"+rt.circularPathData.verticalFullExtent+\" L\"+rt.circularPathData.rightInnerExtent+\" \"+rt.circularPathData.verticalFullExtent+\" A\"+rt.circularPathData.rightLargeArcRadius+\" \"+rt.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+rt.circularPathData.rightFullExtent+\" \"+rt.circularPathData.verticalRightInnerExtent+\" L\"+rt.circularPathData.rightFullExtent+\" \"+(rt.circularPathData.targetY-rt.circularPathData.rightSmallArcRadius)+\" A\"+rt.circularPathData.rightLargeArcRadius+\" \"+rt.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+rt.circularPathData.rightInnerExtent+\" \"+rt.circularPathData.targetY+\" L\"+rt.circularPathData.targetX+\" \"+rt.circularPathData.targetY:ot=\"M\"+rt.circularPathData.sourceX+\" \"+rt.circularPathData.sourceY+\" L\"+rt.circularPathData.leftInnerExtent+\" \"+rt.circularPathData.sourceY+\" A\"+rt.circularPathData.leftLargeArcRadius+\" \"+rt.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+rt.circularPathData.leftFullExtent+\" \"+(rt.circularPathData.sourceY+rt.circularPathData.leftSmallArcRadius)+\" L\"+rt.circularPathData.leftFullExtent+\" \"+rt.circularPathData.verticalLeftInnerExtent+\" A\"+rt.circularPathData.leftLargeArcRadius+\" \"+rt.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+rt.circularPathData.leftInnerExtent+\" \"+rt.circularPathData.verticalFullExtent+\" L\"+rt.circularPathData.rightInnerExtent+\" \"+rt.circularPathData.verticalFullExtent+\" A\"+rt.circularPathData.rightLargeArcRadius+\" \"+rt.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+rt.circularPathData.rightFullExtent+\" \"+rt.circularPathData.verticalRightInnerExtent+\" L\"+rt.circularPathData.rightFullExtent+\" \"+(rt.circularPathData.targetY+rt.circularPathData.rightSmallArcRadius)+\" A\"+rt.circularPathData.rightLargeArcRadius+\" \"+rt.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+rt.circularPathData.rightInnerExtent+\" \"+rt.circularPathData.targetY+\" L\"+rt.circularPathData.targetX+\" \"+rt.circularPathData.targetY,ot}function ae(rt,ot){return ie(rt)==ie(ot)?rt.circularLinkType==\"bottom\"?Me(rt,ot):_e(rt,ot):ie(ot)-ie(rt)}function _e(rt,ot){return rt.y0-ot.y0}function Me(rt,ot){return ot.y0-rt.y0}function ke(rt,ot){return rt.y1-ot.y1}function ge(rt,ot){return ot.y1-rt.y1}function ie(rt){return rt.target.column-rt.source.column}function Te(rt){return rt.target.x0-rt.source.x1}function Ee(rt,ot){var Rt=V(rt),kt=Te(ot)/Math.tan(Rt),Ct=nt(rt)==\"up\"?rt.y1+kt:rt.y1-kt;return Ct}function Ae(rt,ot){var Rt=V(rt),kt=Te(ot)/Math.tan(Rt),Ct=nt(rt)==\"up\"?rt.y1-kt:rt.y1+kt;return Ct}function ze(rt,ot,Rt,kt){rt.links.forEach(function(Ct){if(!Ct.circular&&Ct.target.column-Ct.source.column>1){var Yt=Ct.source.column+1,xr=Ct.target.column-1,er=1,Ke=xr-Yt+1;for(er=1;Yt<=xr;Yt++,er++)rt.nodes.forEach(function(xt){if(xt.column==Yt){var bt=er/(Ke+1),Lt=Math.pow(1-bt,3),St=3*bt*Math.pow(1-bt,2),Et=3*Math.pow(bt,2)*(1-bt),dt=Math.pow(bt,3),Ht=Lt*Ct.y0+St*Ct.y0+Et*Ct.y1+dt*Ct.y1,$t=Ht-Ct.width/2,fr=Ht+Ct.width/2,_r;$t>xt.y0&&$t<xt.y1?(_r=xt.y1-$t+10,_r=xt.circularLinkType==\"bottom\"?_r:-_r,xt=me(xt,_r,ot,Rt),rt.nodes.forEach(function(Br){C(Br,kt)==C(xt,kt)||Br.column!=xt.column||Ce(xt,Br)&&me(Br,_r,ot,Rt)})):fr>xt.y0&&fr<xt.y1?(_r=fr-xt.y0+10,xt=me(xt,_r,ot,Rt),rt.nodes.forEach(function(Br){C(Br,kt)==C(xt,kt)||Br.column!=xt.column||Br.y0<xt.y1&&Br.y1>xt.y1&&me(Br,_r,ot,Rt)})):$t<xt.y0&&fr>xt.y1&&(_r=fr-xt.y0+10,xt=me(xt,_r,ot,Rt),rt.nodes.forEach(function(Br){C(Br,kt)==C(xt,kt)||Br.column!=xt.column||Br.y0<xt.y1&&Br.y1>xt.y1&&me(Br,_r,ot,Rt)}))}})}})}function Ce(rt,ot){return rt.y0>ot.y0&&rt.y0<ot.y1||rt.y1>ot.y0&&rt.y1<ot.y1?!0:rt.y0<ot.y0&&rt.y1>ot.y1}function me(rt,ot,Rt,kt){return rt.y0+ot>=Rt&&rt.y1+ot<=kt&&(rt.y0=rt.y0+ot,rt.y1=rt.y1+ot,rt.targetLinks.forEach(function(Ct){Ct.y1=Ct.y1+ot}),rt.sourceLinks.forEach(function(Ct){Ct.y0=Ct.y0+ot})),rt}function Re(rt,ot,Rt,kt){rt.nodes.forEach(function(Ct){kt&&Ct.y+(Ct.y1-Ct.y0)>ot&&(Ct.y=Ct.y-(Ct.y+(Ct.y1-Ct.y0)-ot));var Yt=rt.links.filter(function(Ke){return C(Ke.source,Rt)==C(Ct,Rt)}),xr=Yt.length;xr>1&&Yt.sort(function(Ke,xt){if(!Ke.circular&&!xt.circular){if(Ke.target.column==xt.target.column)return Ke.y1-xt.y1;if(Ge(Ke,xt)){if(Ke.target.column>xt.target.column){var bt=Ae(xt,Ke);return Ke.y1-bt}if(xt.target.column>Ke.target.column){var Lt=Ae(Ke,xt);return Lt-xt.y1}}else return Ke.y1-xt.y1}if(Ke.circular&&!xt.circular)return Ke.circularLinkType==\"top\"?-1:1;if(xt.circular&&!Ke.circular)return xt.circularLinkType==\"top\"?1:-1;if(Ke.circular&&xt.circular)return Ke.circularLinkType===xt.circularLinkType&&Ke.circularLinkType==\"top\"?Ke.target.column===xt.target.column?Ke.target.y1-xt.target.y1:xt.target.column-Ke.target.column:Ke.circularLinkType===xt.circularLinkType&&Ke.circularLinkType==\"bottom\"?Ke.target.column===xt.target.column?xt.target.y1-Ke.target.y1:Ke.target.column-xt.target.column:Ke.circularLinkType==\"top\"?-1:1});var er=Ct.y0;Yt.forEach(function(Ke){Ke.y0=er+Ke.width/2,er=er+Ke.width}),Yt.forEach(function(Ke,xt){if(Ke.circularLinkType==\"bottom\"){var bt=xt+1,Lt=0;for(bt;bt<xr;bt++)Lt=Lt+Yt[bt].width;Ke.y0=Ct.y1-Lt-Ke.width/2}})})}function ce(rt,ot,Rt){rt.nodes.forEach(function(kt){var Ct=rt.links.filter(function(er){return C(er.target,Rt)==C(kt,Rt)}),Yt=Ct.length;Yt>1&&Ct.sort(function(er,Ke){if(!er.circular&&!Ke.circular){if(er.source.column==Ke.source.column)return er.y0-Ke.y0;if(Ge(er,Ke)){if(Ke.source.column<er.source.column){var xt=Ee(Ke,er);return er.y0-xt}if(er.source.column<Ke.source.column){var bt=Ee(er,Ke);return bt-Ke.y0}}else return er.y0-Ke.y0}if(er.circular&&!Ke.circular)return er.circularLinkType==\"top\"?-1:1;if(Ke.circular&&!er.circular)return Ke.circularLinkType==\"top\"?1:-1;if(er.circular&&Ke.circular)return er.circularLinkType===Ke.circularLinkType&&er.circularLinkType==\"top\"?er.source.column===Ke.source.column?er.source.y1-Ke.source.y1:er.source.column-Ke.source.column:er.circularLinkType===Ke.circularLinkType&&er.circularLinkType==\"bottom\"?er.source.column===Ke.source.column?er.source.y1-Ke.source.y1:Ke.source.column-er.source.column:er.circularLinkType==\"top\"?-1:1});var xr=kt.y0;Ct.forEach(function(er){er.y1=xr+er.width/2,xr=xr+er.width}),Ct.forEach(function(er,Ke){if(er.circularLinkType==\"bottom\"){var xt=Ke+1,bt=0;for(xt;xt<Yt;xt++)bt=bt+Ct[xt].width;er.y1=kt.y1-bt-er.width/2}})})}function Ge(rt,ot){return nt(rt)==nt(ot)}function nt(rt){return rt.y0-rt.y1>0?\"up\":\"down\"}function ct(rt,ot){return C(rt.source,ot)==C(rt.target,ot)}function qt(rt,ot,Rt){var kt=rt.nodes,Ct=rt.links,Yt=!1,xr=!1;if(Ct.forEach(function(St){St.circularLinkType==\"top\"?Yt=!0:St.circularLinkType==\"bottom\"&&(xr=!0)}),Yt==!1||xr==!1){var er=t.min(kt,function(St){return St.y0}),Ke=t.max(kt,function(St){return St.y1}),xt=Ke-er,bt=Rt-ot,Lt=bt/xt;kt.forEach(function(St){var Et=(St.y1-St.y0)*Lt;St.y0=(St.y0-er)*Lt,St.y1=St.y0+Et}),Ct.forEach(function(St){St.y0=(St.y0-er)*Lt,St.y1=(St.y1-er)*Lt,St.width=St.width*Lt})}}e.sankeyCircular=T,e.sankeyCenter=u,e.sankeyLeft=o,e.sankeyRight=s,e.sankeyJustify=l,Object.defineProperty(e,\"__esModule\",{value:!0})})});var LJ=ye((o_r,Tje)=>{\"use strict\";Tje.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}});var Fje=ye((s_r,zje)=>{\"use strict\";var Aje=dje(),mWt=(R2(),ab(I2)).interpolateNumber,LA=xa(),Vk=yje(),yWt=wje(),pu=LJ(),PA=id(),aw=va(),_Wt=ao(),p1=Mr(),RJ=p1.strTranslate,xWt=p1.strRotate,DJ=Km(),Hk=DJ.keyFun,x7=DJ.repeat,Lje=DJ.unwrap,Sje=Ll(),bWt=ba(),Pje=Nh(),wWt=Pje.CAP_SHIFT,TWt=Pje.LINE_SPACING,AWt=3;function SWt(e,t,r){var n=Lje(t),i=n.trace,a=i.domain,o=i.orientation===\"h\",s=i.node.pad,l=i.node.thickness,u={justify:Vk.sankeyJustify,left:Vk.sankeyLeft,right:Vk.sankeyRight,center:Vk.sankeyCenter}[i.node.align],c=e.width*(a.x[1]-a.x[0]),f=e.height*(a.y[1]-a.y[0]),h=n._nodes,d=n._links,v=n.circular,x;v?x=yWt.sankeyCircular().circularLinkGap(0):x=Vk.sankey(),x.iterations(pu.sankeyIterations).size(o?[c,f]:[f,c]).nodeWidth(l).nodePadding(s).nodeId(function(V){return V.pointNumber}).nodeAlign(u).nodes(h).links(d);var b=x();x.nodePadding()<s&&p1.warn(\"node.pad was reduced to \",x.nodePadding(),\" to fit within the figure.\");var g,E,k;for(var A in n._groupLookup){var L=parseInt(n._groupLookup[A]),_;for(g=0;g<b.nodes.length;g++)if(b.nodes[g].pointNumber===L){_=b.nodes[g];break}if(_){var C={pointNumber:parseInt(A),x0:_.x0,x1:_.x1,y0:_.y0,y1:_.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};b.nodes.unshift(C),_.childrenNodes.unshift(C)}}function M(){for(g=0;g<b.nodes.length;g++){var V=b.nodes[g],H={},X,G;for(E=0;E<V.targetLinks.length;E++)G=V.targetLinks[E],X=G.source.pointNumber+\":\"+G.target.pointNumber,H.hasOwnProperty(X)||(H[X]=[]),H[X].push(G);var N=Object.keys(H);for(E=0;E<N.length;E++){X=N[E];var W=H[X],re=0,ae={};for(k=0;k<W.length;k++)G=W[k],ae[G.label]||(ae[G.label]=0),ae[G.label]+=G.value,re+=G.value;for(k=0;k<W.length;k++)G=W[k],G.flow={value:re,labelConcentration:ae[G.label]/re,concentration:G.value/re,links:W},G.concentrationscale&&(G.color=PA(G.concentrationscale(G.flow.labelConcentration)))}var _e=0;for(E=0;E<V.sourceLinks.length;E++)_e+=V.sourceLinks[E].value;for(E=0;E<V.sourceLinks.length;E++)G=V.sourceLinks[E],G.concentrationOut=G.value/_e;var Me=0;for(E=0;E<V.targetLinks.length;E++)Me+=V.targetLinks[E].value;for(E=0;E<V.targetLinks.length;E++)G=V.targetLinks[E],G.concenrationIn=G.value/Me}}M();function p(V){V.forEach(function(H){var X,G,N=0,W=H.length,re;for(H.sort(function(ae,_e){return ae.y0-_e.y0}),re=0;re<W;++re)X=H[re],X.y0>=N||(G=N-X.y0,G>1e-6&&(X.y0+=G,X.y1+=G)),N=X.y1+s})}function P(V){var H=V.map(function(_e,Me){return{x0:_e.x0,index:Me}}).sort(function(_e,Me){return _e.x0-Me.x0}),X=[],G=-1,N,W=-1/0,re;for(g=0;g<H.length;g++){var ae=V[H[g].index];ae.x0>W+l&&(G+=1,N=ae.x0),W=ae.x0,X[G]||(X[G]=[]),X[G].push(ae),re=N-ae.x0,ae.x0+=re,ae.x1+=re}return X}if(i.node.x.length&&i.node.y.length){for(g=0;g<Math.min(i.node.x.length,i.node.y.length,b.nodes.length);g++)if(i.node.x[g]&&i.node.y[g]){var T=[i.node.x[g]*c,i.node.y[g]*f];b.nodes[g].x0=T[0]-l/2,b.nodes[g].x1=T[0]+l/2;var F=b.nodes[g].y1-b.nodes[g].y0;b.nodes[g].y0=T[1]-F/2,b.nodes[g].y1=T[1]+F/2}if(i.arrangement===\"snap\"){h=b.nodes;var q=P(h);p(q)}x.update(b)}return{circular:v,key:r,trace:i,guid:p1.randstr(),horizontal:o,width:c,height:f,nodePad:i.node.pad,nodeLineColor:i.node.line.color,nodeLineWidth:i.node.line.width,linkLineColor:i.link.line.color,linkLineWidth:i.link.line.width,linkArrowLength:i.link.arrowlen,valueFormat:i.valueformat,valueSuffix:i.valuesuffix,textFont:i.textfont,translateX:a.x[0]*e.width+e.margin.l,translateY:e.height-a.y[1]*e.height+e.margin.t,dragParallel:o?f:c,dragPerpendicular:o?c:f,arrangement:i.arrangement,sankey:x,graph:b,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function MWt(e,t,r){var n=PA(t.color),i=PA(t.hovercolor),a=t.source.label+\"|\"+t.target.label,o=a+\"__\"+r;return t.trace=e.trace,t.curveNumber=e.trace.index,{circular:e.circular,key:o,traceId:e.key,pointNumber:t.pointNumber,link:t,tinyColorHue:aw.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:aw.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:zJ,linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,linkArrowLength:e.linkArrowLength,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,parent:e,interactionState:e.interactionState,flow:t.flow}}function EWt(e,t){var r=\"\",n=e.width/2,i=e.circularPathData,a=i.sourceX+i.verticalBuffer<i.targetX,o=i.rightFullExtent-i.rightLargeArcRadius-t<=i.leftFullExtent-n,s=Math.abs(i.rightFullExtent-i.leftFullExtent-n)<n;return e.circularLinkType===\"top\"?(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY+n)+\"A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\"L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" L \"+(i.rightFullExtent+n-(i.rightLargeArcRadius-n)-t)+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent-n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.verticalFullExtent+n)+\"L\"+(i.rightFullExtent+n-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent-n-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L \"+(i.rightFullExtent+n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" L \"+(i.targetX-t)+\" \"+(i.targetY-n)+(t>0?\" L 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a=t.dx,o=Math.max(.5,t.dy),s=\"node_\"+t.pointNumber;return t.group&&(s=p1.randstr()),t.trace=e.trace,t.curveNumber=e.trace.index,{index:t.pointNumber,key:s,partOfGroup:t.partOfGroup||!1,group:t.group,traceId:e.key,trace:e.trace,node:t,nodePad:e.nodePad,nodeLineColor:e.nodeLineColor,nodeLineWidth:e.nodeLineWidth,textFont:e.textFont,size:e.horizontal?e.height:e.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:e.horizontal?t.dy/2+1:t.dx/2+1,left:t.originalLayer===1,sizeAcross:e.width,forceLayouts:e.forceLayouts,horizontal:e.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:aw.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,graph:e.graph,arrangement:e.arrangement,uniqueNodeLabelPathId:[e.guid,e.key,s].join(\"_\"),interactionState:e.interactionState,figure:e}}function IJ(e){e.attr(\"transform\",function(t){return RJ(t.node.x0.toFixed(3),t.node.y0.toFixed(3))})}function CWt(e){e.call(IJ)}function Ije(e,t){e.call(CWt),t.attr(\"d\",zJ())}function Mje(e){e.attr(\"width\",function(t){return t.node.x1-t.node.x0}).attr(\"height\",function(t){return t.visibleHeight})}function PJ(e){return e.link.width>1||e.linkLineWidth>0}function Eje(e){var t=RJ(e.translateX,e.translateY);return t+(e.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function kje(e,t,r){e.on(\".basic\",null).on(\"mouseover.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.hover(this,n,t),n.interactionState.hovered=[this,n])}).on(\"mousemove.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.follow(this,n),n.interactionState.hovered=[this,n])}).on(\"mouseout.basic\",function(n){!n.interactionState.dragInProgress&&!n.partOfGroup&&(r.unhover(this,n,t),n.interactionState.hovered=!1)}).on(\"click.basic\",function(n){n.interactionState.hovered&&(r.unhover(this,n,t),n.interactionState.hovered=!1),!n.interactionState.dragInProgress&&!n.partOfGroup&&r.select(this,n,t)})}function LWt(e,t,r,n){var i=LA.behavior.drag().origin(function(a){return{x:a.node.x0+a.visibleWidth/2,y:a.node.y0+a.visibleHeight/2}}).on(\"dragstart\",function(a){if(a.arrangement!==\"fixed\"&&(p1.ensureSingle(n._fullLayout._infolayer,\"g\",\"dragcover\",function(s){n._fullLayout._dragCover=s}),p1.raiseToTop(this),a.interactionState.dragInProgress=a.node,Cje(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),a.arrangement===\"snap\")){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):PWt(e,o,a,n),IWt(e,t,a,o,n)}}).on(\"drag\",function(a){if(a.arrangement!==\"fixed\"){var o=LA.event.x,s=LA.event.y;a.arrangement===\"snap\"?(a.node.x0=o-a.visibleWidth/2,a.node.x1=o+a.visibleWidth/2,a.node.y0=s-a.visibleHeight/2,a.node.y1=s+a.visibleHeight/2):(a.arrangement===\"freeform\"&&(a.node.x0=o-a.visibleWidth/2,a.node.x1=o+a.visibleWidth/2),s=Math.max(0,Math.min(a.size-a.visibleHeight/2,s)),a.node.y0=s-a.visibleHeight/2,a.node.y1=s+a.visibleHeight/2),Cje(a.node),a.arrangement!==\"snap\"&&(a.sankey.update(a.graph),Ije(e.filter(Dje(a)),t))}}).on(\"dragend\",function(a){if(a.arrangement!==\"fixed\"){a.interactionState.dragInProgress=!1;for(var o=0;o<a.node.childrenNodes.length;o++)a.node.childrenNodes[o].x=a.node.x,a.node.childrenNodes[o].y=a.node.y;a.arrangement!==\"snap\"&&Rje(a,n)}});e.on(\".drag\",null).call(i)}function PWt(e,t,r,n){zWt(r.graph.nodes);var i=r.graph.nodes.filter(function(a){return a.originalX===r.node.originalX}).filter(function(a){return!a.partOfGroup});r.forceLayouts[t]=Aje.forceSimulation(i).alphaDecay(0).force(\"collide\",Aje.forceCollide().radius(function(a){return a.dy/2+r.nodePad/2}).strength(1).iterations(pu.forceIterations)).force(\"constrain\",RWt(e,t,i,r,n)).stop()}function IWt(e,t,r,n,i){window.requestAnimationFrame(function a(){var o;for(o=0;o<pu.forceTicksPerFrame;o++)r.forceLayouts[n].tick();var s=r.graph.nodes;if(FWt(s),r.sankey.update(r.graph),Ije(e.filter(Dje(r)),t),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,Rje(r,i)}})}function RWt(e,t,r,n){return function(){for(var a=0,o=0;o<r.length;o++){var s=r[o];s===n.interactionState.dragInProgress?(s.x=s.lastDraggedX,s.y=s.lastDraggedY):(s.vx=(s.originalX-s.x)/pu.forceTicksPerFrame,s.y=Math.min(n.size-s.dy/2,Math.max(s.dy/2,s.y))),a=Math.max(a,Math.abs(s.vx),Math.abs(s.vy))}!n.interactionState.dragInProgress&&a<.1&&n.forceLayouts[t].alpha()>0&&n.forceLayouts[t].alpha(0)}}function Rje(e,t){for(var r=[],n=[],i=0;i<e.graph.nodes.length;i++){var a=(e.graph.nodes[i].x0+e.graph.nodes[i].x1)/2,o=(e.graph.nodes[i].y0+e.graph.nodes[i].y1)/2;r.push(a/e.figure.width),n.push(o/e.figure.height)}bWt.call(\"_guiRestyle\",t,{\"node.x\":[r],\"node.y\":[n]},e.trace.index).then(function(){t._fullLayout._dragCover&&t._fullLayout._dragCover.remove()})}function DWt(e){var t=[],r;for(r=0;r<e.length;r++)e[r].originalX=(e[r].x0+e[r].x1)/2,e[r].originalY=(e[r].y0+e[r].y1)/2,t.indexOf(e[r].originalX)===-1&&t.push(e[r].originalX);for(t.sort(function(n,i){return n-i}),r=0;r<e.length;r++)e[r].originalLayerIndex=t.indexOf(e[r].originalX),e[r].originalLayer=e[r].originalLayerIndex/(t.length-1)}function Cje(e){e.lastDraggedX=e.x0+e.dx/2,e.lastDraggedY=e.y0+e.dy/2}function Dje(e){return function(t){return t.node.originalX===e.node.originalX}}function zWt(e){for(var t=0;t<e.length;t++)e[t].y=(e[t].y0+e[t].y1)/2,e[t].x=(e[t].x0+e[t].x1)/2}function FWt(e){for(var t=0;t<e.length;t++)e[t].y0=e[t].y-e[t].dy/2,e[t].y1=e[t].y0+e[t].dy,e[t].x0=e[t].x-e[t].dx/2,e[t].x1=e[t].x0+e[t].dx}zje.exports=function(e,t,r,n,i){var a=e._context.staticPlot,o=!1;p1.ensureSingle(e._fullLayout._infolayer,\"g\",\"first-render\",function(){o=!0});var s=e._fullLayout._dragCover,l=r.filter(function(b){return Lje(b).trace.visible}).map(SWt.bind(null,n)),u=t.selectAll(\".\"+pu.cn.sankey).data(l,Hk);u.exit().remove(),u.enter().append(\"g\").classed(pu.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",a?\"none\":\"auto\").attr(\"transform\",Eje),u.each(function(b,g){e._fullData[g]._sankey=b;var E=\"bgsankey-\"+b.trace.uid+\"-\"+g;p1.ensureSingle(e._fullLayout._draggers,\"rect\",E),e._fullData[g]._bgRect=LA.select(\".\"+E),e._fullData[g]._bgRect.style(\"pointer-events\",a?\"none\":\"all\").attr(\"width\",b.width).attr(\"height\",b.height).attr(\"x\",b.translateX).attr(\"y\",b.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})}),u.transition().ease(pu.ease).duration(pu.duration).attr(\"transform\",Eje);var c=u.selectAll(\".\"+pu.cn.sankeyLinks).data(x7,Hk);c.enter().append(\"g\").classed(pu.cn.sankeyLinks,!0).style(\"fill\",\"none\");var f=c.selectAll(\".\"+pu.cn.sankeyLink).data(function(b){var g=b.graph.links;return g.filter(function(E){return E.value}).map(MWt.bind(null,b))},Hk);f.enter().append(\"path\").classed(pu.cn.sankeyLink,!0).call(kje,u,i.linkEvents),f.style(\"stroke\",function(b){return PJ(b)?aw.tinyRGB(PA(b.linkLineColor)):b.tinyColorHue}).style(\"stroke-opacity\",function(b){return PJ(b)?aw.opacity(b.linkLineColor):b.tinyColorAlpha}).style(\"fill\",function(b){return b.tinyColorHue}).style(\"fill-opacity\",function(b){return b.tinyColorAlpha}).style(\"stroke-width\",function(b){return PJ(b)?b.linkLineWidth:1}).attr(\"d\",zJ()),f.style(\"opacity\",function(){return e._context.staticPlot||o||s?1:0}).transition().ease(pu.ease).duration(pu.duration).style(\"opacity\",1),f.exit().transition().ease(pu.ease).duration(pu.duration).style(\"opacity\",0).remove();var h=u.selectAll(\".\"+pu.cn.sankeyNodeSet).data(x7,Hk);h.enter().append(\"g\").classed(pu.cn.sankeyNodeSet,!0),h.style(\"cursor\",function(b){switch(b.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}});var d=h.selectAll(\".\"+pu.cn.sankeyNode).data(function(b){var g=b.graph.nodes;return DWt(g),g.map(kWt.bind(null,b))},Hk);d.enter().append(\"g\").classed(pu.cn.sankeyNode,!0).call(IJ).style(\"opacity\",function(b){return(e._context.staticPlot||o)&&!b.partOfGroup?1:0}),d.call(kje,u,i.nodeEvents).call(LWt,f,i,e),d.transition().ease(pu.ease).duration(pu.duration).call(IJ).style(\"opacity\",function(b){return b.partOfGroup?0:1}),d.exit().transition().ease(pu.ease).duration(pu.duration).style(\"opacity\",0).remove();var v=d.selectAll(\".\"+pu.cn.nodeRect).data(x7);v.enter().append(\"rect\").classed(pu.cn.nodeRect,!0).call(Mje),v.style(\"stroke-width\",function(b){return b.nodeLineWidth}).style(\"stroke\",function(b){return aw.tinyRGB(PA(b.nodeLineColor))}).style(\"stroke-opacity\",function(b){return aw.opacity(b.nodeLineColor)}).style(\"fill\",function(b){return b.tinyColorHue}).style(\"fill-opacity\",function(b){return b.tinyColorAlpha}),v.transition().ease(pu.ease).duration(pu.duration).call(Mje);var x=d.selectAll(\".\"+pu.cn.nodeLabel).data(x7);x.enter().append(\"text\").classed(pu.cn.nodeLabel,!0).style(\"cursor\",\"default\"),x.attr(\"data-notex\",1).text(function(b){return b.node.label}).each(function(b){var g=LA.select(this);_Wt.font(g,b.textFont),Sje.convertToTspans(g,e)}).attr(\"text-anchor\",function(b){return b.horizontal&&b.left?\"end\":\"start\"}).attr(\"transform\",function(b){var g=LA.select(this),E=Sje.lineCount(g),k=b.textFont.size*((E-1)*TWt-wWt),A=b.nodeLineWidth/2+AWt,L=((b.horizontal?b.visibleHeight:b.visibleWidth)-k)/2;b.horizontal&&(b.left?A=-A:A+=b.visibleWidth);var _=b.horizontal?\"\":\"scale(-1,1)\"+xWt(90);return RJ(b.horizontal?A:L,b.horizontal?L:A)+_}),x.transition().ease(pu.ease).duration(pu.duration)}});var OJ=ye((l_r,jje)=>{\"use strict\";var Zv=xa(),qJ=Mr(),b7=qJ.numberFormat,qWt=Fje(),IA=Nc(),OWt=va(),Ax=LJ().cn,Gk=qJ._;function qje(e){return e!==\"\"}function RA(e,t){return e.filter(function(r){return r.key===t.traceId})}function Oje(e,t){Zv.select(e).select(\"path\").style(\"fill-opacity\",t),Zv.select(e).select(\"rect\").style(\"fill-opacity\",t)}function Bje(e){Zv.select(e).select(\"text.name\").style(\"fill\",\"black\")}function Nje(e){return function(t){return e.node.sourceLinks.indexOf(t.link)!==-1||e.node.targetLinks.indexOf(t.link)!==-1}}function Uje(e){return function(t){return t.node.sourceLinks.indexOf(e.link)!==-1||t.node.targetLinks.indexOf(e.link)!==-1}}function Vje(e,t,r){t&&r&&RA(r,t).selectAll(\".\"+Ax.sankeyLink).filter(Nje(t)).call(Hje.bind(0,t,r,!1))}function FJ(e,t,r){t&&r&&RA(r,t).selectAll(\".\"+Ax.sankeyLink).filter(Nje(t)).call(Gje.bind(0,t,r,!1))}function 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Wje=ye(ow=>{\"use strict\";var BWt=Bu().overrideAll,NWt=kd().getModuleCalcData,UWt=OJ(),VWt=B1(),HWt=Tg(),GWt=gv(),jWt=wf().prepSelect,BJ=Mr(),WWt=ba(),w7=\"sankey\";ow.name=w7;ow.baseLayoutAttrOverrides=BWt({hoverlabel:VWt.hoverlabel},\"plot\",\"nested\");ow.plot=function(e){var t=NWt(e.calcdata,w7)[0];UWt(e,t),ow.updateFx(e)};ow.clean=function(e,t,r,n){var i=n._has&&n._has(w7),a=t._has&&t._has(w7);i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())};ow.updateFx=function(e){for(var t=0;t<e._fullData.length;t++)ZWt(e,t)};function ZWt(e,t){var r=e._fullData[t],n=e._fullLayout,i=n.dragmode,a=n.dragmode===\"pan\"?\"move\":\"crosshair\",o=r._bgRect;if(o&&!(i===\"pan\"||i===\"zoom\")){HWt(o,a);var s={_id:\"x\",c2p:BJ.identity,_offset:r._sankey.translateX,_length:r._sankey.width},l={_id:\"y\",c2p:BJ.identity,_offset:r._sankey.translateY,_length:r._sankey.height},u={gd:e,element:o.node(),plotinfo:{id:t,xaxis:s,yaxis:l,fillRangeItems:BJ.noop},subplot:t,xaxes:[s],yaxes:[l],doneFnCompleted:function(c){var f=e._fullData[t],h,d=f.node.groups.slice(),v=[];function x(k){for(var A=f._sankey.graph.nodes,L=0;L<A.length;L++)if(A[L].pointNumber===k)return A[L]}for(var b=0;b<c.length;b++){var g=x(c[b].pointNumber);if(g)if(g.group){for(var E=0;E<g.childrenNodes.length;E++)v.push(g.childrenNodes[E].pointNumber);d[g.pointNumber-f.node._count]=!1}else v.push(g.pointNumber)}h=d.filter(Boolean).concat([v]),WWt.call(\"_guiRestyle\",e,{\"node.groups\":[h]},t)}};u.prepFn=function(c,f,h){jWt(c,f,h,u,i)},GWt.init(u)}}});var Xje=ye((c_r,Zje)=>{\"use strict\";Zje.exports=function(t,r){for(var n=t.cd,i=[],a=n[0].trace,o=a._sankey.graph.nodes,s=0;s<o.length;s++){var l=o[s];if(!l.partOfGroup){var 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VJ=ye((p_r,sWe)=>{\"use strict\";sWe.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}});var cWe=ye((g_r,uWe)=>{\"use strict\";var ey=Mr(),S7=UJ(),$Wt=Ju().defaults,lWe=Vs(),QWt=Zd(),A7=VJ(),eZt=xb(),tZt=T3(),rZt=e_(),iZt=t_();function nZt(e,t,r,n){function i(_,C){return ey.coerce(e,t,S7,_,C)}$Wt(t,n,i),i(\"mode\"),t._hasNumber=t.mode.indexOf(\"number\")!==-1,t._hasDelta=t.mode.indexOf(\"delta\")!==-1,t._hasGauge=t.mode.indexOf(\"gauge\")!==-1;var a=i(\"value\");t._range=[0,typeof a==\"number\"?1.5*a:1];var o=new Array(2),s;if(t._hasNumber){i(\"number.valueformat\");var l=ey.extendFlat({},n.font);l.size=void 0,ey.coerceFont(i,\"number.font\",l),t.number.font.size===void 0&&(t.number.font.size=A7.defaultNumberFontSize,o[0]=!0),i(\"number.prefix\"),i(\"number.suffix\"),s=t.number.font.size}var u;if(t._hasDelta){var c=ey.extendFlat({},n.font);c.size=void 0,ey.coerceFont(i,\"delta.font\",c),t.delta.font.size===void 0&&(t.delta.font.size=(t._hasNumber?.5:1)*(s||A7.defaultNumberFontSize),o[1]=!0),i(\"delta.reference\",t.value),i(\"delta.relative\"),i(\"delta.valueformat\",t.delta.relative?\"2%\":\"\"),i(\"delta.increasing.symbol\"),i(\"delta.increasing.color\"),i(\"delta.decreasing.symbol\"),i(\"delta.decreasing.color\"),i(\"delta.position\"),i(\"delta.prefix\"),i(\"delta.suffix\"),u=t.delta.font.size}t._scaleNumbers=(!t._hasNumber||o[0])&&(!t._hasDelta||o[1])||!1;var f=ey.extendFlat({},n.font);f.size=.25*(s||u||A7.defaultNumberFontSize),ey.coerceFont(i,\"title.font\",f),i(\"title.text\");var h,d,v,x;function b(_,C){return ey.coerce(h,d,S7.gauge,_,C)}function g(_,C){return ey.coerce(v,x,S7.gauge.axis,_,C)}if(t._hasGauge){h=e.gauge,h||(h={}),d=lWe.newContainer(t,\"gauge\"),b(\"shape\");var E=t._isBullet=t.gauge.shape===\"bullet\";E||i(\"title.align\",\"center\");var k=t._isAngular=t.gauge.shape===\"angular\";k||i(\"align\",\"center\"),b(\"bgcolor\",n.paper_bgcolor),b(\"borderwidth\"),b(\"bordercolor\"),b(\"bar.color\"),b(\"bar.line.color\"),b(\"bar.line.width\");var A=A7.valueThickness*(t.gauge.shape===\"bullet\"?.5:1);b(\"bar.thickness\",A),QWt(h,d,{name:\"steps\",handleItemDefaults:aZt}),b(\"threshold.value\"),b(\"threshold.thickness\"),b(\"threshold.line.width\"),b(\"threshold.line.color\"),v={},h&&(v=h.axis||{}),x=lWe.newContainer(d,\"axis\"),g(\"visible\"),t._range=g(\"range\",t._range);var L={font:n.font,noAutotickangles:!0,outerTicks:!0,noTicklabelshift:!0,noTicklabelstandoff:!0};eZt(v,x,g,\"linear\"),iZt(v,x,g,\"linear\",L),rZt(v,x,g,\"linear\",L),tZt(v,x,g,L)}else i(\"title.align\",\"center\"),i(\"align\",\"center\"),t._isAngular=t._isBullet=!1;t._length=null}function aZt(e,t){function r(n,i){return ey.coerce(e,t,S7.gauge.steps,n,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}uWe.exports={supplyDefaults:nZt}});var hWe=ye((m_r,fWe)=>{\"use strict\";function oZt(e,t){var r=[],n=t.value;typeof t._lastValue!=\"number\"&&(t._lastValue=t.value);var i=t._lastValue,a=i;return t._hasDelta&&typeof t.delta.reference==\"number\"&&(a=t.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}fWe.exports={calc:oZt}});var yWe=ye((y_r,mWe)=>{\"use strict\";var fw=xa(),sZt=(R2(),ab(I2)).interpolate,dWe=(R2(),ab(I2)).interpolateNumber,Mx=Mr(),lZt=Mx.strScale,Zk=Mx.strTranslate,uZt=Mx.rad2deg,cZt=Nh().MID_SHIFT,cw=ao(),sw=VJ(),E7=Ll(),av=Qa(),fZt=JM(),hZt=rI(),dZt=Cd(),zA=va(),HJ={left:\"start\",center:\"middle\",right:\"end\"},lw={left:0,center:.5,right:1},vWe=/[yzafpnµmkMGTPEZY]/;function Xk(e){return e&&e.duration>0}mWe.exports=function(t,r,n,i){var 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P=r.filter(function(){return i.gauge.threshold.value||i.gauge.threshold.value===0}),T=a.selectAll(\"g.threshold-bullet\").data(P);T.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),T.select(\"line\").attr(\"x1\",d.c2p(i.gauge.threshold.value)).attr(\"x2\",d.c2p(i.gauge.threshold.value)).attr(\"y1\",(1-i.gauge.threshold.thickness)/2*E).attr(\"y2\",(1-(1-i.gauge.threshold.thickness)/2)*E).call(zA.stroke,i.gauge.threshold.line.color).style(\"stroke-width\",i.gauge.threshold.line.width),T.exit().remove();var F=a.selectAll(\"g.gauge-outline\").data([l]);F.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),F.select(\"rect\").call(_).call(uw),F.exit().remove()}function pZt(e,t,r,n){var i=r[0].trace,a=n.size,o=n.radius,s=n.innerRadius,l=n.gaugeBg,u=n.gaugeOutline,c=[a.l+a.w/2,a.t+a.h/2+o/2],f=n.gauge,h=n.layer,d=n.transitionOpts,v=n.onComplete,x=Math.PI/2;function b(_e){var Me=i.gauge.axis.range[0],ke=i.gauge.axis.range[1],ge=(_e-Me)/(ke-Me)*Math.PI-x;return ge<-x?-x:ge>x?x:ge}function g(_e){return fw.svg.arc().innerRadius((s+o)/2-_e/2*(o-s)).outerRadius((s+o)/2+_e/2*(o-s)).startAngle(-x)}function E(_e){_e.attr(\"d\",function(Me){return g(Me.thickness).startAngle(b(Me.range[0])).endAngle(b(Me.range[1]))()})}var k,A,L,_;f.enter().append(\"g\").classed(\"angular\",!0),f.attr(\"transform\",Zk(c[0],c[1])),h.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),h.selectAll(\"g.xangularaxistick,path,text\").remove(),k=Wk(e,i.gauge.axis),k.type=\"linear\",k.range=i.gauge.axis.range,k._id=\"xangularaxis\",k.ticklabeloverflow=\"allow\",k.setScale();var C=function(_e){return(k.range[0]-_e.x)/(k.range[1]-k.range[0])*Math.PI+Math.PI},M={},p=av.makeLabelFns(k,0),P=p.labelStandoff;M.xFn=function(_e){var Me=C(_e);return Math.cos(Me)*P},M.yFn=function(_e){var 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A=i.mode+i.align,L;if(i._hasDelta&&(L=k(),A+=i.delta.position+i.delta.font.size+i.delta.font.family+i.delta.valueformat,A+=i.delta.increasing.symbol+i.delta.decreasing.symbol,v=d),i._hasNumber&&(E(),A+=i.number.font.size+i.number.font.family+i.number.valueformat+i.number.suffix+i.number.prefix,v=h),i._hasDelta&&i._hasNumber){var 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r=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),n=t/r;return[n,e,t]}function gWe(e,t,r,n){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),a=fw.select(i);return a.text(e).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",e).call(E7.convertToTspans,n).call(cw.font,t),cw.bBox(a.node())}function M7(e,t,r,n,i,a){var o=\"_cache\"+t;e[o]&&e[o].key===i||(e[o]={key:i,value:r});var s=Mx.aggNums(a,null,[e[o].value,n],2);return e[o].value=s,s}});var xWe=ye((__r,_We)=>{\"use strict\";_We.exports={moduleType:\"trace\",name:\"indicator\",basePlotModule:eWe(),categories:[\"svg\",\"noOpacity\",\"noHover\"],animatable:!0,attributes:UJ(),supplyDefaults:cWe().supplyDefaults,calc:hWe().calc,plot:yWe(),meta:{}}});var wWe=ye((x_r,bWe)=>{\"use strict\";bWe.exports=xWe()});var GJ=ye((w_r,MWe)=>{\"use strict\";var 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mKe(e,t,r){this.isSmith=r||!1,this.id=t,this.gd=e,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=e._fullLayout,i=\"clip\"+n._uid+t;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",t),this.getHole=function(a){return this.isSmith?0:a.hole},this.getSector=function(a){return this.isSmith?[0,360]:a.sector},this.getRadial=function(a){return this.isSmith?a.realaxis:a.radialaxis},this.getAngular=function(a){return this.isSmith?a.imaginaryaxis:a.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var Fd=mKe.prototype;xKe.exports=function(t,r,n){return new mKe(t,r,n)};Fd.plot=function(e,t){for(var r=this,n=t[r.id],i=!1,a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){i=!0;break}}r._hasClipOnAxisFalse=i,r.updateLayers(t,n),r.updateLayout(t,n),mKt.generalUpdatePerTraceModule(r.gd,r,e,n),r.updateFx(t,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)};Fd.updateLayers=function(e,t){var r=this,n=r.isSmith,i=r.layers,a=r.getRadial(t),o=r.getAngular(t),s=Cx.layerNames,l=s.indexOf(\"frontplot\"),u=s.slice(0,l),c=o.layer===\"below traces\",f=a.layer===\"below traces\";c&&u.push(\"angular-line\"),f&&u.push(\"radial-line\"),c&&u.push(\"angular-axis\"),f&&u.push(\"radial-axis\"),u.push(\"frontplot\"),c||u.push(\"angular-line\"),f||u.push(\"radial-line\"),c||u.push(\"angular-axis\"),f||u.push(\"radial-axis\");var h=(n?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+h).data(u,String);d.enter().append(\"g\").attr(\"class\",function(v){return h+\" \"+v}).each(function(v){var 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X=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",X).attr(\"transform\",dd(F,q)),n.frontplot.attr(\"transform\",dd(_,C)).call(tC.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",X).attr(\"transform\",dd(P,T)).call(L$.fill,t.bgcolor)};Fd.mockAxis=function(e,t,r,n){var i=cc.extendFlat({},r,n);return _Kt(i,t,e),i};Fd.mockCartesianAxis=function(e,t,r){var n=this,i=n.isSmith,a=r._id,o=cc.extendFlat({type:\"linear\"},r);yKt(o,e);var s={x:[0,2],y:[1,3]};return o.setRange=function(){var l=n.sectorBBox,u=s[a],c=n.radialAxis._rl,f=(c[1]-c[0])/(1-n.getHole(t));o.range=[l[u[0]]*f,l[u[1]]*f]},o.isPtWithinRange=a===\"x\"&&!i?function(l){return n.isPtInside(l)}:function(){return!0},o.setRange(),o.setScale(),o};Fd.doAutoRange=function(e,t){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(t);xKt(n,i);var o=i.range;if(a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")],i.minallowed!==void 0){var s=i.r2l(i.minallowed);i._rl[0]>i._rl[1]?i._rl[1]=Math.max(i._rl[1],s):i._rl[0]=Math.max(i._rl[0],s)}if(i.maxallowed!==void 0){var l=i.r2l(i.maxallowed);i._rl[0]<i._rl[1]?i._rl[1]=Math.min(i._rl[1],l):i._rl[0]=Math.min(i._rl[0],l)}};Fd.updateRadialAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getRadial(t),c=gKe(r.getSector(t)[0],360),f=r.radialAxis,h=o<a,d=r.isSmith;d||(r.fillViewInitialKey(\"radialaxis.angle\",u.angle),r.fillViewInitialKey(\"radialaxis.range\",f.range.slice()),f.setGeometry()),f.tickangle===\"auto\"&&c>90&&c<=270&&(f.tickangle=180);var v=d?function(M){var p=o9(r,a9([M.x,0]));return dd(p[0]-s,p[1]-l)}:function(M){return dd(f.l2p(M.x)+o,0)},x=d?function(M){return MKt(r,M.x,-1/0,1/0)}:function(M){return r.pathArc(f.r2p(M.x)+o)},b=yKe(u);if(r.radialTickLayout!==b&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=b),h){f.setScale();var g=0,E=d?(f.tickvals||[]).filter(function(M){return M>=0}).map(function(M){return dp.tickText(f,M,!0,!1)}):dp.calcTicks(f),k=d?E:dp.clipEnds(f,E),A=dp.getTickSigns(f)[2];d&&((f.ticks===\"top\"&&f.side===\"bottom\"||f.ticks===\"bottom\"&&f.side===\"top\")&&(A=-A),f.ticks===\"top\"&&f.side===\"top\"&&(g=-f.ticklen),f.ticks===\"bottom\"&&f.side===\"bottom\"&&(g=f.ticklen)),dp.drawTicks(n,f,{vals:E,layer:i[\"radial-axis\"],path:dp.makeTickPath(f,0,A),transFn:v,crisp:!1}),dp.drawGrid(n,f,{vals:k,layer:i[\"radial-grid\"],path:x,transFn:cc.noop,crisp:!1}),dp.drawLabels(n,f,{vals:E,layer:i[\"radial-axis\"],transFn:v,labelFns:dp.makeLabelFns(f,g)})}var L=r.radialAxisAngle=r.vangles?pw(_Ke(Lx(u.angle),r.vangles)):u.angle,_=dd(s,l),C=_+ry(-L);rC(i[\"radial-axis\"],h&&(u.showticklabels||u.ticks),{transform:C}),rC(i[\"radial-grid\"],h&&u.showgrid,{transform:d?\"\":_}),rC(i[\"radial-line\"].select(\"line\"),h&&u.showline,{x1:d?-a:o,y1:0,x2:a,y2:0,transform:C}).attr(\"stroke-width\",u.linewidth).call(L$.stroke,u.linecolor)};Fd.updateRadialAxisTitle=function(e,t,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(t),u=n.id+\"title\",c=0;if(l.title){var f=tC.bBox(n.layers[\"radial-axis\"].node()).height,h=l.title.font.size,d=l.side;c=d===\"top\"?h:d===\"counterclockwise\"?-(f+h*.4):f+h*.8}var v=r!==void 0?r:n.radialAxisAngle,x=Lx(v),b=Math.cos(x),g=Math.sin(x),E=o+a/2*b+c*g,k=s-a/2*g+c*b;n.layers[\"radial-axis-title\"]=bKt.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title\",placeholder:EKt(i,\"Click to enter radial axis 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W$(e,t,r,n){if(this._calendar=e,this._year=t,this._month=r,this._day=n,this._calendar._validateLevel===0&&!this._calendar.isValid(this._year,this._month,this._day))throw(Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function w9(e,t){return e=\"\"+e,\"000000\".substring(0,t-e.length)+e}T9(W$.prototype,{newDate:function(e,t,r){return this._calendar.newDate(e==null?this:e,t,r)},year:function(e){return arguments.length===0?this._year:this.set(e,\"y\")},month:function(e){return arguments.length===0?this._month:this.set(e,\"m\")},day:function(e){return arguments.length===0?this._day:this.set(e,\"d\")},date:function(e,t,r){if(!this._calendar.isValid(e,t,r))throw(Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=e,this._month=t,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(e,t){return this._calendar.add(this,e,t)},set:function(e,t){return this._calendar.set(this,e,t)},compareTo:function(e){if(this._calendar.name!==e._calendar.name)throw(Es.local.differentCalendars||Es.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,e._calendar.local.name);var t=this._year!==e._year?this._year-e._year:this._month!==e._month?this.monthOfYear()-e.monthOfYear():this._day-e._day;return t===0?0:t<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(e){return this._calendar.fromJD(e)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(e){return this._calendar.fromJSDate(e)},toString:function(){return(this.year()<0?\"-\":\"\")+w9(Math.abs(this.year()),4)+\"-\"+w9(this.month(),2)+\"-\"+w9(this.day(),2)}});function Z$(){this.shortYearCutoff=\"+10\"}T9(Z$.prototype,{_validateLevel:0,newDate:function(e,t,r){return e==null?this.today():(e.year&&(this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),r=e.day(),t=e.month(),e=e.year()),new W$(this,e,t,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return t.year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return(t.year()<0?\"-\":\"\")+w9(Math.abs(t.year()),4)},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(e,t){var r=this._validate(e,t,this.minDay,Es.local.invalidMonth||Es.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(e,t){var r=(t+this.firstMonth-2*this.minMonth)%this.monthsInYear(e)+this.minMonth;return this._validate(e,r,this.minDay,Es.local.invalidMonth||Es.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return this.leapYear(t)?366:365},dayOfYear:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(e,t,r){return this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),{}},add:function(e,t,r){return this._validate(e,this.minMonth,this.minDay,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),this._correctAdd(e,this._add(e,t,r),t,r)},_add:function(e,t,r){if(this._validateLevel++,r===\"d\"||r===\"w\"){var n=e.toJD()+t*(r===\"w\"?this.daysInWeek():1),i=e.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=e.year()+(r===\"y\"?t:0),o=e.monthOfYear()+(r===\"m\"?t:0),i=e.day(),s=function(c){for(;o<c.minMonth;)a--,o+=c.monthsInYear(a);for(var f=c.monthsInYear(a);o>f-1+c.minMonth;)a++,o-=f,f=c.monthsInYear(a)};r===\"y\"?(e.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,e.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):r===\"m\"&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(u){throw this._validateLevel--,u}},_correctAdd:function(e,t,r,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(t[0]===0||e.year()>0!=t[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;t=this._add(e,r*i[0]+a*i[1],i[2])}return e.date(t[0],t[1],t[2])},set:function(e,t,r){this._validate(e,this.minMonth,this.minDay,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);var n=r===\"y\"?t:e.year(),i=r===\"m\"?t:e.month(),a=r===\"d\"?t:e.day();return(r===\"y\"||r===\"m\")&&(a=Math.min(a,this.daysInMonth(n,i))),e.date(n,i,a)},isValid:function(e,t,r){this._validateLevel++;var n=this.hasYearZero||e!==0;if(n){var i=this.newDate(e,t,this.minDay);n=t>=this.minMonth&&t-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);return Es.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(e){return this.fromJD(Es.instance().fromJSDate(e).toJD())},_validate:function(e,t,r,n){if(e.year){if(this._validateLevel===0&&this.name!==e.calendar().name)throw(Es.local.differentCalendars||Es.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,e.calendar().local.name);return e}try{if(this._validateLevel++,this._validateLevel===1&&!this.isValid(e,t,r))throw n.replace(/\\{0\\}/,this.local.name);var i=this.newDate(e,t,r);return this._validateLevel--,i}catch(a){throw this._validateLevel--,a}}});function X$(e){this.local=this.regionalOptions[e]||this.regionalOptions[\"\"]}X$.prototype=new Z$;T9(X$.prototype,{name:\"Gregorian\",jdEpoch:17214255e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Gregorian\",epochs:[\"BCE\",\"CE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===0&&(r%100!==0||r%400===0)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Es.local.invalidMonth||Es.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<3&&(t+=12,e--);var i=Math.floor(e/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r+a-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=Math.floor((t-186721625e-2)/36524.25);r=t+1+r-Math.floor(r/4);var n=r+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(o*30.6001),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(e){return this.newDate(e.getFullYear(),e.getMonth()+1,e.getDate())}});var Es=y$e.exports=new m$e;Es.cdate=W$;Es.baseCalendar=Z$;Es.calendars.gregorian=X$});var _$e=ye(()=>{var Y$=bh(),qd=Sv();Y$(qd.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"});qd.local=qd.regionalOptions[\"\"];Y$(qd.cdate.prototype,{formatDate:function(e,t){return typeof e!=\"string\"&&(t=e,e=\"\"),this._calendar.formatDate(e||\"\",this,t)}});Y$(qd.baseCalendar.prototype,{UNIX_EPOCH:qd.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:24*60*60,TICKS_EPOCH:qd.instance().jdEpoch,TICKS_PER_DAY:24*60*60*1e7,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(e,t,r){if(typeof e!=\"string\"&&(r=t,t=e,e=\"\"),!t)return\"\";if(t.calendar()!==this)throw qd.local.invalidFormat||qd.regionalOptions[\"\"].invalidFormat;e=e||this.local.dateFormat,r=r||{};for(var n=r.dayNamesShort||this.local.dayNamesShort,i=r.dayNames||this.local.dayNames,a=r.monthNumbers||this.local.monthNumbers,o=r.monthNamesShort||this.local.monthNamesShort,s=r.monthNames||this.local.monthNames,l=r.calculateWeek||this.local.calculateWeek,u=function(A,L){for(var _=1;k+_<e.length&&e.charAt(k+_)===A;)_++;return k+=_-1,Math.floor(_/(L||1))>1},c=function(A,L,_,C){var M=\"\"+L;if(u(A,C))for(;M.length<_;)M=\"0\"+M;return M},f=function(A,L,_,C){return u(A)?C[L]:_[L]},h=this,d=function(A){return typeof a==\"function\"?a.call(h,A,u(\"m\")):b(c(\"m\",A.month(),2))},v=function(A,L){return L?typeof s==\"function\"?s.call(h,A):s[A.month()-h.minMonth]:typeof o==\"function\"?o.call(h,A):o[A.month()-h.minMonth]},x=this.local.digits,b=function(A){return r.localNumbers&&x?x(A):A},g=\"\",E=!1,k=0;k<e.length;k++)if(E)e.charAt(k)===\"'\"&&!u(\"'\")?E=!1:g+=e.charAt(k);else switch(e.charAt(k)){case\"d\":g+=b(c(\"d\",t.day(),2));break;case\"D\":g+=f(\"D\",t.dayOfWeek(),n,i);break;case\"o\":g+=c(\"o\",t.dayOfYear(),3);break;case\"w\":g+=c(\"w\",t.weekOfYear(),2);break;case\"m\":g+=d(t);break;case\"M\":g+=v(t,u(\"M\"));break;case\"y\":g+=u(\"y\",2)?t.year():(t.year()%100<10?\"0\":\"\")+t.year()%100;break;case\"Y\":u(\"Y\",2),g+=t.formatYear();break;case\"J\":g+=t.toJD();break;case\"@\":g+=(t.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":g+=(t.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":u(\"'\")?g+=\"'\":E=!0;break;default:g+=e.charAt(k)}return g},parseDate:function(e,t,r){if(t==null)throw qd.local.invalidArguments||qd.regionalOptions[\"\"].invalidArguments;if(t=typeof t==\"object\"?t.toString():t+\"\",t===\"\")return null;e=e||this.local.dateFormat,r=r||{};var n=r.shortYearCutoff||this.shortYearCutoff;n=typeof n!=\"string\"?n:this.today().year()%100+parseInt(n,10);for(var i=r.dayNamesShort||this.local.dayNamesShort,a=r.dayNames||this.local.dayNames,o=r.parseMonth||this.local.parseMonth,s=r.monthNumbers||this.local.monthNumbers,l=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,c=-1,f=-1,h=-1,d=-1,v=-1,x=!1,b=!1,g=function(F,q){for(var V=1;p+V<e.length&&e.charAt(p+V)===F;)V++;return p+=V-1,Math.floor(V/(q||1))>1},E=function(F,q){var V=g(F,q),H=[2,3,V?4:2,V?4:2,10,11,20][\"oyYJ@!\".indexOf(F)+1],X=new RegExp(\"^-?\\\\d{1,\"+H+\"}\"),G=t.substring(M).match(X);if(!G)throw(qd.local.missingNumberAt||qd.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,M);return M+=G[0].length,parseInt(G[0],10)},k=this,A=function(){if(typeof s==\"function\"){g(\"m\");var F=s.call(k,t.substring(M));return M+=F.length,F}return E(\"m\")},L=function(F,q,V,H){for(var X=g(F,H)?V:q,G=0;G<X.length;G++)if(t.substr(M,X[G].length).toLowerCase()===X[G].toLowerCase())return M+=X[G].length,G+k.minMonth;throw(qd.local.unknownNameAt||qd.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,M)},_=function(){if(typeof u==\"function\"){var F=g(\"M\")?u.call(k,t.substring(M)):l.call(k,t.substring(M));return M+=F.length,F}return L(\"M\",l,u)},C=function(){if(t.charAt(M)!==e.charAt(p))throw(qd.local.unexpectedLiteralAt||qd.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,M);M++},M=0,p=0;p<e.length;p++)if(b)e.charAt(p)===\"'\"&&!g(\"'\")?b=!1:C();else switch(e.charAt(p)){case\"d\":d=E(\"d\");break;case\"D\":L(\"D\",i,a);break;case\"o\":v=E(\"o\");break;case\"w\":E(\"w\");break;case\"m\":h=A();break;case\"M\":h=_();break;case\"y\":var P=p;x=!g(\"y\",2),p=P,f=E(\"y\",2);break;case\"Y\":f=E(\"Y\",2);break;case\"J\":c=E(\"J\")+.5,t.charAt(M)===\".\"&&(M++,E(\"J\"));break;case\"@\":c=E(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":c=E(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":M=t.length;break;case\"'\":g(\"'\")?C():b=!0;break;default:C()}if(M<t.length)throw qd.local.unexpectedText||qd.regionalOptions[\"\"].unexpectedText;if(f===-1?f=this.today().year():f<100&&x&&(f+=n===-1?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),typeof h==\"string\"&&(h=o.call(this,f,h)),v>-1){h=1,d=v;for(var T=this.daysInMonth(f,h);d>T;T=this.daysInMonth(f,h))h++,d-=T}return c>-1?this.fromJD(c):this.newDate(f,h,d)},determineDate:function(e,t,r,n,i){r&&typeof r!=\"object\"&&(i=n,n=r,r=null),typeof n!=\"string\"&&(i=n,n=\"\");var a=this,o=function(s){try{return a.parseDate(n,s,i)}catch(f){}s=s.toLowerCase();for(var 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e=n.year()+(n.year()<0?1:0),t=n.month(),r=n.day(),r+(t>1?16:0)+(t>2?(t-2)*32:0)+(e-1)*400+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e+.5)-Math.floor(this.jdEpoch)-1;var t=Math.floor(e/400)+1;e-=(t-1)*400,e+=e>15?16:0;var r=Math.floor(e/32)+1,n=e-(r-1)*32+1;return this.newDate(t<=0?t-1:t,r,n)}});var aQt={20:\"Fruitbat\",21:\"Anchovy\"};b1.calendars.discworld=$$});var T$e=ye(()=>{var xw=Sv(),oQt=bh();function Q$(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}Q$.prototype=new 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eQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}eQ.prototype=new qx.baseCalendar;sQt(eQ.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear);return this._leapYear(t.year())},_leapYear:function(e){return e=e<0?e+1:e,S9(e*7+1,19)<7},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear),this._leapYear(e.year?e.year():e)?13:12},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear);return e=t.year(),this.toJD(e===-1?1:e+1,7,1)-this.toJD(e,7,1)},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,qx.local.invalidMonth),t===12&&this.leapYear(e)||t===8&&S9(this.daysInYear(e),10)===5?30:t===9&&S9(this.daysInYear(e),10)===3?29:this.daysPerMonth[t-1]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,qx.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(e,t,r){var n=this._validate(e,t,r,qx.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e<=0?e+1:e,a=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(t<7){for(var o=7;o<=this.monthsInYear(e);o++)a+=this.daysInMonth(e,o);for(var o=1;o<t;o++)a+=this.daysInMonth(e,o)}else for(var o=7;o<t;o++)a+=this.daysInMonth(e,o);return a},_delay1:function(e){var t=Math.floor((235*e-234)/19),r=12084+13753*t,n=t*29+Math.floor(r/25920);return S9(3*(n+1),7)<3&&n++,n},_delay2:function(e){var t=this._delay1(e-1),r=this._delay1(e),n=this._delay1(e+1);return n-r===356?2:r-t===382?1:0},fromJD:function(e){e=Math.floor(e)+.5;for(var t=Math.floor((e-this.jdEpoch)*98496/35975351)-1;e>=this.toJD(t===-1?1:t+1,7,1);)t++;for(var r=e<this.toJD(t,1,1)?7:1;e>this.toJD(t,r,this.daysInMonth(t,r));)r++;var n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});function S9(e,t){return e-t*Math.floor(e/t)}qx.calendars.hebrew=eQ});var S$e=ye(()=>{var nC=Sv(),lQt=bh();function tQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}tQ.prototype=new nC.baseCalendar;lQt(tQ.prototype,{name:\"Islamic\",jdEpoch:19484395e-1,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012Bs\",\"Yawm al-jum'a\",\"Yawm 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t=Math.floor((30*(e-this.jdEpoch)+10646)/10631);t=t<=0?t-1:t;var r=Math.min(12,Math.ceil((e-29-this.toJD(t,1,1))/29.5)+1),n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});nC.calendars.islamic=tQ});var M$e=ye(()=>{var aC=Sv(),uQt=bh();function rQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}rQ.prototype=new aC.baseCalendar;uQt(rQ.prototype,{name:\"Julian\",jdEpoch:17214235e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,aC.local.invalidYear),r=t.year()<0?t.year()+1:t.year();return r%4===0},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,aC.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,aC.local.invalidDate);return e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<=2&&(e--,t+=12),Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=t+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}});aC.calendars.julian=rQ});var k$e=ye(()=>{var ug=Sv(),cQt=bh();function nQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}nQ.prototype=new ug.baseCalendar;cQt(nQ.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),!1},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear);e=t.year();var r=Math.floor(e/400);e=e%400,e+=e<0?400:0;var n=Math.floor(e/20);return r+\".\"+n+\".\"+e%20},forYear:function(e){if(e=e.split(\".\"),e.length<3)throw\"Invalid Mayan year\";for(var t=0,r=0;r<e.length;r++){var n=parseInt(e[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";t=t*20+n}return t},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),18},weekOfYear:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),0},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),360},daysInMonth:function(e,t){return this._validate(e,t,this.minDay,ug.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()},weekDay:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),!0},extraInfo:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate),i=n.toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(e){e-=this.jdEpoch;var t=iQ(e+8+17*20,365);return[Math.floor(t/20)+1,iQ(t,20)]},_toTzolkin:function(e){return e-=this.jdEpoch,[E$e(e+20,20),E$e(e+4,13)]},toJD:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()+n.month()*20+n.year()*360+this.jdEpoch},fromJD:function(e){e=Math.floor(e)+.5-this.jdEpoch;var t=Math.floor(e/360);e=e%360,e+=e<0?360:0;var r=Math.floor(e/20),n=e%20;return this.newDate(t,r,n)}});function iQ(e,t){return e-t*Math.floor(e/t)}function E$e(e,t){return iQ(e-1,t)+1}ug.calendars.mayan=nQ});var L$e=ye(()=>{var bw=Sv(),fQt=bh();function aQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}aQ.prototype=new bw.baseCalendar;var C$e=bw.instance(\"gregorian\");fQt(aQ.prototype,{name:\"Nanakshahi\",jdEpoch:22576735e-1,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,bw.local.invalidYear||bw.regionalOptions[\"\"].invalidYear);return C$e.leapYear(t.year()+(t.year()<1?1:0)+1469)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,bw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,bw.local.invalidMonth),i=n.year();i<0&&i++;for(var a=n.day(),o=1;o<n.month();o++)a+=this.daysPerMonth[o-1];return a+C$e.toJD(i+1468,3,13)},fromJD:function(e){e=Math.floor(e+.5);for(var t=Math.floor((e-(this.jdEpoch-1))/366);e>=this.toJD(t+1,1,1);)t++;for(var r=e-Math.floor(this.toJD(t,1,1)+.5)+1,n=1;r>this.daysInMonth(t,n);)r-=this.daysInMonth(t,n),n++;return this.newDate(t,n,r)}});bw.calendars.nanakshahi=aQ});var P$e=ye(()=>{var ww=Sv(),hQt=bh();function oQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}oQ.prototype=new ww.baseCalendar;hQt(oQ.prototype,{name:\"Nepali\",jdEpoch:17007095e-1,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(e){return 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l=e-(o>9||o===9&&r>=this.NEPALI_CALENDAR_DATA[s][0]?56:57);for(t!==9&&(a=r,o--);o!==9;)o<=0&&(o=12,s--),a+=this.NEPALI_CALENDAR_DATA[s][o],o--;return t===9?(a+=r-this.NEPALI_CALENDAR_DATA[s][0],a<0&&(a+=i.daysInYear(l))):a+=this.NEPALI_CALENDAR_DATA[s][9]-this.NEPALI_CALENDAR_DATA[s][0],i.newDate(l,1,1).add(a,\"d\").toJD()},fromJD:function(e){var t=ww.instance(),r=t.fromJD(e),n=r.year(),i=r.dayOfYear(),a=n+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)o++,o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(e){var t=this.daysPerMonth.slice(0);t.unshift(17);for(var r=e-1;r<e+2;r++)typeof 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t=this._validate(e,this.minMonth,this.minDay,QA.local.invalidYear);return((t.year()-(t.year()>0?474:473))%2820+474+38)*682%2816<682},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-((n.dayOfWeek()+1)%7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,QA.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,QA.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e-(e>=0?474:473),a=474+sQ(i,2820);return r+(t<=7?(t-1)*31:(t-1)*30+6)+Math.floor((a*682-110)/2816)+(a-1)*365+Math.floor(i/2820)*1029983+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e)+.5;var t=e-this.toJD(475,1,1),r=Math.floor(t/1029983),n=sQ(t,1029983),i=2820;if(n!==1029982){var a=Math.floor(n/366),o=sQ(n,366);i=Math.floor((2134*a+2816*o+2815)/1028522)+a+1}var s=i+2820*r+474;s=s<=0?s-1:s;var l=e-this.toJD(s,1,1)+1,u=l<=186?Math.ceil(l/31):Math.ceil((l-6)/30),c=e-this.toJD(s,u,1)+1;return this.newDate(s,u,c)}});function sQ(e,t){return e-t*Math.floor(e/t)}QA.calendars.persian=M9;QA.calendars.jalali=M9});var R$e=ye(()=>{var Tw=Sv(),vQt=bh(),E9=Tw.instance();function lQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}lQ.prototype=new 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n=this._validate(i,this.minMonth,this.minDay,Tw.local.invalidYear),i=this._t2gYear(n.year());return E9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Tw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Tw.local.invalidDate),i=this._t2gYear(n.year());return E9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=E9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)},_g2tYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)}});Tw.calendars.taiwan=lQ});var D$e=ye(()=>{var Aw=Sv(),pQt=bh(),k9=Aw.instance();function uQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}uQ.prototype=new 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n=this._validate(i,this.minMonth,this.minDay,Aw.local.invalidYear),i=this._t2gYear(n.year());return k9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Aw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Aw.local.invalidDate),i=this._t2gYear(n.year());return k9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=k9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)},_g2tYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)}});Aw.calendars.thai=uQ});var z$e=ye(()=>{var Sw=Sv(),gQt=bh();function cQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}cQ.prototype=new 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n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){for(var t=0,r=1;r<=12;r++)t+=this.daysInMonth(e,r);return t},daysInMonth:function(e,t){for(var r=this._validate(e,t,this.minDay,Sw.local.invalidMonth),n=r.toJD()-24e5+.5,i=0,a=0;a<Ox.length;a++){if(Ox[a]>n)return Ox[i]-Ox[i-1];i++}return 30},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Sw.local.invalidDate),i=12*(n.year()-1)+n.month()-15292,a=n.day()+Ox[i-1]-1;return a+24e5-.5},fromJD:function(e){for(var t=e-24e5+.5,r=0,n=0;n<Ox.length&&!(Ox[n]>t);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),o=a+1,s=i-12*a,l=t-Ox[r-1]+1;return this.newDate(o,s,l)},isValid:function(e,t,r){var n=Sw.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(e=e.year!=null?e.year:e,n=e>=1276&&e<=1500),n},_validate:function(e,t,r,n){var i=Sw.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return i}});Sw.calendars.ummalqura=cQ;var 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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\n",
+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*!\n",
+       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT license.\n",
+       " */\n",
+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
+       "/*! Bundled license information:\n",
+       "\n",
+       "native-promise-only/lib/npo.src.js:\n",
+       "  (*! Native Promise Only\n",
+       "      v0.8.1 (c) Kyle Simpson\n",
+       "      MIT License: http://getify.mit-license.org\n",
+       "  *)\n",
+       "\n",
+       "polybooljs/index.js:\n",
+       "  (*\n",
+       "   * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+       "   * @license MIT\n",
+       "   * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
+       "   *)\n",
+       "\n",
+       "ieee754/index.js:\n",
+       "  (*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
+       "\n",
+       "buffer/index.js:\n",
+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "safe-buffer/index.js:\n",
+       "  (*! safe-buffer. MIT License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
+       "\n",
+       "assert/build/internal/util/comparisons.js:\n",
+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "object-assign/index.js:\n",
+       "  (*\n",
+       "  object-assign\n",
+       "  (c) Sindre Sorhus\n",
+       "  @license MIT\n",
+       "  *)\n",
+       "\n",
+       "maplibre-gl/dist/maplibre-gl.js:\n",
+       "  (**\n",
+       "   * MapLibre GL JS\n",
+       "   * @license 3-Clause BSD. Full text of license: https://github.com/maplibre/maplibre-gl-js/blob/v4.7.1/LICENSE.txt\n",
+       "   *)\n",
+       "*/\n",
+       "\n",
+       "window.Plotly = Plotly;\n",
+       "return Plotly;\n",
+       "}));</script>                <div id=\"869270c2-e17f-4cad-b8ea-ebf52ab2c18c\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                window.PLOTLYENV=window.PLOTLYENV || {};                                if (document.getElementById(\"869270c2-e17f-4cad-b8ea-ebf52ab2c18c\")) {                    Plotly.newPlot(                        \"869270c2-e17f-4cad-b8ea-ebf52ab2c18c\",                        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        "                            \n",
-       "var gd = document.getElementById('aebf8ff9-562a-4f76-a436-fe8415975958');\n",
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@@ -2328,7 +9948,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
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diff --git a/CVECWE.ipynb b/CVECWE.ipynb
index 54d1c9e4b2..af122fd860 100644
--- a/CVECWE.ipynb
+++ b/CVECWE.ipynb
@@ -15,10 +15,10 @@
    "id": "91b44dc2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:47.333059Z",
-     "iopub.status.busy": "2024-09-13T08:30:47.332888Z",
-     "iopub.status.idle": "2024-09-13T08:30:48.028575Z",
-     "shell.execute_reply": "2024-09-13T08:30:48.027965Z"
+     "iopub.execute_input": "2025-02-02T04:34:08.962345Z",
+     "iopub.status.busy": "2025-02-02T04:34:08.962176Z",
+     "iopub.status.idle": "2025-02-02T04:34:09.598440Z",
+     "shell.execute_reply": "2025-02-02T04:34:09.597870Z"
     },
     "tags": [
      "remove-cell"
@@ -102,10 +102,10 @@
    "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:30:48.031415Z",
-     "iopub.status.busy": "2024-09-13T08:30:48.030877Z",
-     "iopub.status.idle": "2024-09-13T08:31:08.345531Z",
-     "shell.execute_reply": "2024-09-13T08:31:08.344970Z"
+     "iopub.execute_input": "2025-02-02T04:34:09.600401Z",
+     "iopub.status.busy": "2025-02-02T04:34:09.600187Z",
+     "iopub.status.idle": "2025-02-02T04:34:33.829008Z",
+     "shell.execute_reply": "2025-02-02T04:34:33.828383Z"
     },
     "tags": [
      "remove-cell"
@@ -240,10 +240,10 @@
    "id": "6815f0a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:31:08.348153Z",
-     "iopub.status.busy": "2024-09-13T08:31:08.347790Z",
-     "iopub.status.idle": "2024-09-13T08:31:08.619644Z",
-     "shell.execute_reply": "2024-09-13T08:31:08.618994Z"
+     "iopub.execute_input": "2025-02-02T04:34:33.831417Z",
+     "iopub.status.busy": "2025-02-02T04:34:33.831054Z",
+     "iopub.status.idle": "2025-02-02T04:34:34.108982Z",
+     "shell.execute_reply": "2025-02-02T04:34:34.108365Z"
     },
     "tags": [
      "remove-input"
@@ -252,7 +252,7 @@
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -279,10 +279,10 @@
    "id": "04a26e54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:31:08.622434Z",
-     "iopub.status.busy": "2024-09-13T08:31:08.621929Z",
-     "iopub.status.idle": "2024-09-13T08:31:08.630267Z",
-     "shell.execute_reply": "2024-09-13T08:31:08.629801Z"
+     "iopub.execute_input": "2025-02-02T04:34:34.111016Z",
+     "iopub.status.busy": "2025-02-02T04:34:34.110565Z",
+     "iopub.status.idle": "2025-02-02T04:34:34.118385Z",
+     "shell.execute_reply": "2025-02-02T04:34:34.117935Z"
     },
     "tags": [
      "remove-input"
@@ -292,7 +292,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_8a8fd64e_065d_4e28_9742_a005575d38e5\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_47f47c13_2142_4be2_a9a0_b03531df3f27\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -301,7 +301,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -392,24 +391,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_47f47c13_2142_4be2_a9a0_b03531df3f27:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_8a8fd64e_065d_4e28_9742_a005575d38e5:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"NVD-CWE-Other\", 28847], [\"CWE-79\", 28616], [\"NVD-CWE-noinfo\", 27971], [\"Missing_Data\", 21346], [\"CWE-89\", 12373], [\"CWE-119\", 11545], [\"CWE-787\", 9825], [\"CWE-20\", 9399], [\"CWE-200\", 7078], [\"CWE-22\", 6229], [\"CWE-125\", 6076], [\"CWE-352\", 5991], [\"CWE-264\", 5130], [\"CWE-416\", 4345], [\"CWE-78\", 3590], [\"CWE-94\", 3332], [\"CWE-287\", 3270], [\"CWE-862\", 2676], [\"CWE-476\", 2614], [\"CWE-399\", 2491], [\"CWE-310\", 2405], [\"CWE-434\", 2401], [\"CWE-120\", 2284], [\"CWE-190\", 2275], [\"CWE-77\", 1634], [\"CWE-269\", 1611], [\"CWE-400\", 1481], [\"CWE-362\", 1435], [\"CWE-284\", 1394], [\"CWE-863\", 1355], [\"CWE-502\", 1320], [\"CWE-798\", 1208], [\"CWE-189\", 1199], [\"CWE-732\", 1174], [\"CWE-918\", 1153], [\"CWE-306\", 1085], [\"CWE-59\", 1045], [\"CWE-295\", 992], [\"CWE-611\", 992], [\"CWE-601\", 974], [\"CWE-522\", 911], [\"CWE-276\", 902], [\"CWE-74\", 877], [\"CWE-121\", 830], [\"CWE-770\", 762], [\"CWE-532\", 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+       "        const data = [[\"CWE-79\", 32405], [\"NVD-CWE-Other\", 27282], [\"NVD-CWE-noinfo\", 25861], [\"Missing_Data\", 19908], [\"CWE-89\", 13215], [\"CWE-119\", 11663], [\"CWE-20\", 10529], [\"CWE-787\", 8765], [\"CWE-200\", 8066], [\"CWE-352\", 6574], [\"CWE-125\", 6469], [\"CWE-22\", 6367], [\"CWE-264\", 5335], [\"CWE-416\", 4995], [\"CWE-78\", 3779], [\"CWE-862\", 3713], [\"CWE-94\", 3636], [\"CWE-476\", 3225], [\"CWE-287\", 3197], [\"CWE-120\", 2779], [\"CWE-399\", 2638], [\"CWE-434\", 2601], [\"CWE-284\", 2524], [\"CWE-190\", 2368], [\"CWE-310\", 2293], [\"CWE-77\", 1935], [\"CWE-400\", 1875], [\"CWE-269\", 1661], [\"CWE-121\", 1640], [\"CWE-502\", 1489], [\"CWE-362\", 1438], [\"CWE-863\", 1397], [\"CWE-918\", 1265], [\"CWE-122\", 1245], [\"CWE-74\", 1223], [\"CWE-189\", 1197], [\"CWE-306\", 1140], [\"CWE-59\", 1134], [\"CWE-732\", 1129], [\"CWE-798\", 1119], [\"CWE-611\", 1050], [\"CWE-601\", 1038], [\"CWE-276\", 1006], [\"CWE-295\", 992], [\"CWE-522\", 852], 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[\"CWE-1385\", 11], [\"CWE-409\", 11], [\"CWE-701\", 11], [\"CWE-603\", 11], [\"CWE-779\", 11], [\"CWE-833\", 11], [\"CWE-226\", 11], [\"CWE-841\", 10], [\"CWE-1295\", 10], [\"CWE-26\", 10], [\"CWE-253\", 10], [\"CWE-268\", 10], [\"CWE-155\", 10], [\"CWE-825\", 10], [\"CWE-289\", 10], [\"CWE-488\", 10], [\"CWE-366\", 9], [\"CWE-1393\", 9], [\"CWE-158\", 9], [\"CWE-215\", 9], [\"CWE-272\", 9], [\"CWE-642\", 9], [\"CWE-449\", 9], [\"CWE-332\", 9], [\"CWE-708\", 9], [\"CWE-334\", 9], [\"CWE-911\", 9], [\"CWE-943\", 9], [\"CWE-229\", 9], [\"CWE-1288\", 9], [\"CWE-350\", 9], [\"CWE-76\", 9], [\"CWE-260\", 9], [\"CWE-279\", 9], [\"CWE-195\", 9], [\"CWE-1022\", 9], [\"CWE-1327\", 9], [\"CWE-419\", 9], [\"CWE-258\", 8], [\"CWE-214\", 8], [\"CWE-477\", 8], [\"CWE-390\", 8], [\"CWE-636\", 8], [\"CWE-140\", 8], [\"CWE-696\", 8], [\"CWE-790\", 8], [\"CWE-176\", 8], [\"CWE-340\", 8], [\"CWE-606\", 8], [\"CWE-283\", 8], [\"CWE-394\", 8], [\"CWE-228\", 8], [\"CWE-1230\", 8], [\"CWE-14\", 8], [\"CWE-1263\", 8], [\"CWE-838\", 8], [\"CWE-199\", 7], [\"CWE-361\", 7], [\"CWE-698\", 7], [\"CWE-549\", 7], [\"CWE-456\", 7], [\"CWE-138\", 7], [\"CWE-836\", 7], [\"CWE-232\", 7], [\"CWE-341\", 7], [\"CWE-821\", 7], [\"CWE-590\", 7], [\"CWE-643\", 7], [\"CWE-842\", 7], [\"CWE-530\", 7], [\"CWE-791\", 7], [\"CWE-159\", 7], [\"CWE-86\", 7], [\"CWE-25\", 7], [\"CWE-939\", 7], [\"CWE-837\", 7], [\"CWE-371\", 7], [\"CWE-561\", 7], [\"CWE-65\", 6], [\"CWE-1394\", 6], [\"CWE-421\", 6], [\"CWE-31\", 6], [\"CWE-526\", 6], [\"CWE-249\", 6], [\"CWE-271\", 6], [\"CWE-475\", 6], [\"CWE-1320\", 6], [\"CWE-223\", 6], [\"CWE-612\", 6], [\"CWE-37\", 6], [\"CWE-1299\", 6], [\"CWE-21\", 6], [\"CWE-242\", 6], [\"CWE-18\", 6], [\"CWE-650\", 6], [\"CWE-83\", 6], [\"CWE-230\", 6], [\"CWE-308\", 6], [\"CWE-84\", 6], [\"CWE-112\", 6], [\"CWE-146\", 6], [\"CWE-656\", 6], [\"CWE-364\", 6], [\"CWE-337\", 6], [\"CWE-547\", 5], [\"CWE-413\", 5], [\"CWE-710\", 5], [\"CWE-646\", 5], [\"CWE-329\", 5], [\"CWE-219\", 5], [\"CWE-322\", 5], [\"CWE-641\", 5], [\"CWE-342\", 5], [\"CWE-676\", 5], [\"CWE-141\", 5], [\"CWE-1258\", 5], [\"CWE-544\", 5], [\"CWE-315\", 5], [\"CWE-372\", 5], [\"CWE-1242\", 5], [\"CWE-244\", 5], [\"CWE-296\", 5], [\"CWE-1191\", 4], [\"CWE-671\", 4], [\"CWE-216\", 4], [\"CWE-625\", 4], [\"CWE-767\", 4], [\"CWE-177\", 4], [\"CWE-1104\", 4], [\"CWE-231\", 4], [\"CWE-820\", 4], [\"CWE-291\", 4], [\"CWE-1240\", 4], [\"CWE-194\", 4], [\"CWE-649\", 4], [\"CWE-317\", 4], [\"CWE-784\", 4], [\"CWE-351\", 4], [\"CWE-760\", 4], [\"CWE-830\", 4], [\"CWE-1077\", 4], [\"CWE-920\", 4], [\"CWE-299\", 4], [\"CWE-1050\", 4], [\"CWE-759\", 4], [\"CWE-265\", 4], [\"CWE-1326\", 4], [\"CWE-192\", 4], [\"CWE-1125\", 4], [\"CWE-534\", 4], [\"CWE-921\", 4], [\"CWE-81\", 4], [\"CWE-1289\", 4], [\"CWE-1325\", 4], [\"CWE-694\", 4], [\"CWE-1241\", 3], [\"CWE-463\", 3], [\"CWE-551\", 3], [\"CWE-599\", 3], [\"CWE-262\", 3], [\"CWE-804\", 3], [\"CWE-1250\", 3], [\"CWE-196\", 3], [\"CWE-1283\", 3], [\"CWE-127\", 3], [\"CWE-187\", 3], [\"CWE-539\", 3], [\"CWE-1319\", 3], [\"CWE-597\", 3], [\"CWE-562\", 3], [\"CWE-786\", 3], [\"CWE-1187\", 3], [\"CWE-437\", 3], [\"CWE-173\", 3], [\"CWE-914\", 3], [\"CWE-1270\", 3], [\"CWE-941\", 3], [\"CWE-278\", 3], [\"CWE-794\", 3], [\"CWE-762\", 3], [\"CWE-237\", 3], [\"CWE-756\", 3], [\"CWE-1303\", 3], [\"CWE-626\", 3], [\"CWE-412\", 3], [\"CWE-368\", 3], [\"CWE-1173\", 3], [\"CWE-792\", 3], [\"CWE-167\", 3], [\"CWE-1357\", 3], [\"CWE-645\", 3], [\"CWE-473\", 3], [\"CWE-616\", 3], [\"CWE-97\", 3], [\"CWE-1259\", 3], [\"CWE-180\", 2], [\"CWE-450\", 2], [\"CWE-343\", 2], [\"CWE-1076\", 2], [\"CWE-567\", 2], [\"CWE-205\", 2], [\"CWE-431\", 2], [\"CWE-1221\", 2], [\"CWE-64\", 2], [\"CWE-1335\", 2], [\"CWE-468\", 2], [\"CWE-466\", 2], [\"CWE-1269\", 2], [\"CWE-622\", 2], [\"CWE-1107\", 2], [\"CWE-1260\", 2], [\"CWE-1189\", 2], [\"CWE-32\", 2], [\"CWE-925\", 2], [\"CWE-686\", 2], [\"CWE-783\", 2], [\"CWE-360\", 2], [\"CWE-628\", 2], [\"CWE-1049\", 2], [\"CWE-465\", 2], [\"CWE-144\", 2], [\"CWE-182\", 2], [\"CWE-393\", 2], [\"CWE-1342\", 2], [\"CWE-775\", 2], [\"CWE-111\", 2], [\"CWE-769\", 2], [\"CWE-128\", 2], [\"CWE-235\", 2], [\"CWE-435\", 2], [\"CWE-815\", 2], [\"CWE-1244\", 2], [\"CWE-1234\", 2], [\"CWE-447\", 2], [\"CWE-550\", 2], [\"CWE-826\", 2], [\"CWE-11\", 2], [\"CWE-771\", 2], [\"CWE-563\", 2], [\"CWE-1\", 2], [\"CWE-687\", 2], [\"CWE-1245\", 2], [\"CWE-67\", 2], [\"CWE-1332\", 2], [\"CWE-1275\", 2], [\"CWE-210\", 2], [\"CWE-1329\", 2], [\"CWE-392\", 2], [\"CWE-839\", 2], [\"CWE-85\", 2], [\"CWE-408\", 2], [\"CWE-527\", 2], [\"CWE-179\", 2], [\"CWE-1246\", 2], [\"CWE-227\", 2], [\"CWE-1103\", 2], [\"CWE-780\", 2], [\"CWE-1274\", 2], [\"CWE-1247\", 2], [\"CWE-1038\", 2], [\"CWE-1281\", 2], [\"CWE-234\", 1], [\"CWE-910\", 1], [\"CWE-507\", 1], [\"CWE-733\", 1], [\"CWE-689\", 1], [\"CWE-344\", 1], [\"CWE-1291\", 1], [\"CWE-448\", 1], [\"CWE-1218\", 1], [\"CWE-336\", 1], [\"CWE-1278\", 1], [\"CWE-363\", 1], [\"CWE-1190\", 1], [\"CWE-485\", 1], [\"CWE-239\", 1], [\"CWE-39\", 1], [\"CWE-1108\", 1], [\"CWE-1059\", 1], [\"CWE-1352\", 1], [\"CWE-571\", 1], [\"CWE-573\", 1], [\"CWE-236\", 1], [\"CWE-688\", 1], [\"CWE-1083\", 1], [\"CWE-564\", 1], [\"CWE-1025\", 1], [\"CWE-1051\", 1], [\"CWE-414\", 1], [\"CWE-1298\", 1], [\"CWE-491\", 1], [\"CWE-57\", 1], [\"CWE-1037\", 1], [\"CWE-69\", 1], [\"CWE-566\", 1], [\"CWE-1323\", 1], [\"CWE-1264\", 1], [\"CWE-154\", 1], [\"CWE-1255\", 1], [\"CWE-166\", 1], [\"CWE-1389\", 1], [\"CWE-240\", 1], [\"CWE-1027\", 1], [\"CWE-1262\", 1], [\"CWE-556\", 1], [\"CWE-587\", 1], [\"CWE-588\", 1], [\"CWE-479\", 1], [\"CWE-882\", 1], [\"CWE-895\", 1], [\"CWE-1024\", 1], [\"CWE-1118\", 1], [\"CWE-480\", 1], [\"CWE-1023\", 1], [\"CWE-474\", 1], [\"CWE-28\", 1], [\"CWE-1026\", 1], [\"CWE-1204\", 1], [\"CWE-301\", 1], [\"CWE-509\", 1], [\"CWE-6\", 1], [\"CWE-774\", 1], [\"CWE-82\", 1], [\"CWE-1112\", 1], [\"CWE-714\", 1], [\"CWE-758\", 1], [\"CWE-683\", 1], [\"CWE-555\", 1], [\"CWE-318\", 1], [\"CWE-952\", 1], [\"CWE-263\", 1], [\"CWE-446\", 1], [\"CWE-647\", 1], [\"CWE-1282\", 1], [\"CWE-1088\", 1], [\"CWE-467\", 1], [\"CWE-12\", 1], [\"CWE-355\", 1], [\"CWE-1224\", 1], [\"CWE-293\", 1], [\"CWE-1231\", 1], [\"CWE-455\", 1], [\"CWE-403\", 1], [\"CWE-1300\", 1], [\"CWE-298\", 1], [\"CWE-149\", 1], [\"CWE-50\", 1], [\"CWE-1334\", 1], [\"CWE-148\", 1], [\"CWE-1223\", 1], [\"CWE-1039\", 1], [\"CWE-40\", 1], [\"CWE-1253\", 1], [\"CWE-1272\", 1], [\"CWE-1047\", 1], [\"CWE-1279\", 1], [\"CWE-1018\", 1], [\"CWE-627\", 1], [\"CWE-168\", 1], [\"CWE-292\", 1], [\"CWE-692\", 1], [\"CWE-623\", 1], [\"CWE-570\", 1], [\"CWE-386\", 1], [\"CWE-828\", 1], [\"CWE-764\", 1], [\"CWE-605\", 1], [\"CWE-621\", 1], [\"CWE-1304\", 1], [\"CWE-528\", 1], [\"CWE-638\", 1], [\"CWE-765\", 1], [\"CWE-66\", 1], [\"CWE-1057\", 1], [\"CWE-615\", 1], [\"CWE-147\", 1], [\"CWE-702\", 1], [\"CWE-1251\", 1], [\"CWE-600\", 1], [\"CWE-624\", 1], [\"CWE-832\", 1]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -435,10 +433,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:31:08.632611Z",
-     "iopub.status.busy": "2024-09-13T08:31:08.632243Z",
-     "iopub.status.idle": "2024-09-13T08:31:08.636164Z",
-     "shell.execute_reply": "2024-09-13T08:31:08.635599Z"
+     "iopub.execute_input": "2025-02-02T04:34:34.120194Z",
+     "iopub.status.busy": "2025-02-02T04:34:34.119831Z",
+     "iopub.status.idle": "2025-02-02T04:34:34.123700Z",
+     "shell.execute_reply": "2025-02-02T04:34:34.123138Z"
     },
     "tags": [
      "remove-input"
@@ -448,7 +446,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:31:08.633227**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:34:34.120777**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -480,7 +478,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVECalendar.ipynb b/CVECalendar.ipynb
index db81f21618..d1eec5e620 100644
--- a/CVECalendar.ipynb
+++ b/CVECalendar.ipynb
@@ -17,10 +17,10 @@
    "id": "diverse-prison",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:28:45.173797Z",
-     "iopub.status.busy": "2024-09-13T08:28:45.173367Z",
-     "iopub.status.idle": "2024-09-13T08:28:45.776626Z",
-     "shell.execute_reply": "2024-09-13T08:28:45.776058Z"
+     "iopub.execute_input": "2025-02-02T04:31:47.079490Z",
+     "iopub.status.busy": "2025-02-02T04:31:47.079315Z",
+     "iopub.status.idle": "2025-02-02T04:31:47.666316Z",
+     "shell.execute_reply": "2025-02-02T04:31:47.665652Z"
     },
     "tags": [
      "remove-cell"
@@ -60,10 +60,10 @@
    "id": "organized-ambassador",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:28:45.779473Z",
-     "iopub.status.busy": "2024-09-13T08:28:45.779041Z",
-     "iopub.status.idle": "2024-09-13T08:29:05.752703Z",
-     "shell.execute_reply": "2024-09-13T08:29:05.752066Z"
+     "iopub.execute_input": "2025-02-02T04:31:47.668600Z",
+     "iopub.status.busy": "2025-02-02T04:31:47.668366Z",
+     "iopub.status.idle": "2025-02-02T04:32:12.635032Z",
+     "shell.execute_reply": "2025-02-02T04:32:12.634469Z"
     },
     "tags": [
      "remove-cell"
@@ -183,10 +183,10 @@
    "id": "fdaba3b0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:05.755357Z",
-     "iopub.status.busy": "2024-09-13T08:29:05.754990Z",
-     "iopub.status.idle": "2024-09-13T08:29:23.140270Z",
-     "shell.execute_reply": "2024-09-13T08:29:23.139649Z"
+     "iopub.execute_input": "2025-02-02T04:32:12.637311Z",
+     "iopub.status.busy": "2025-02-02T04:32:12.636892Z",
+     "iopub.status.idle": "2025-02-02T04:32:31.125476Z",
+     "shell.execute_reply": "2025-02-02T04:32:31.124848Z"
     },
     "tags": [
      "remove-input"
@@ -195,9 +195,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
-       "<Figure size 2500x9000 with 37 Axes>"
+       "<Figure size 2500x9000 with 38 Axes>"
       ]
      },
      "metadata": {},
@@ -219,10 +219,10 @@
    "id": "332b1486",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:23.151008Z",
-     "iopub.status.busy": "2024-09-13T08:29:23.150537Z",
-     "iopub.status.idle": "2024-09-13T08:29:23.189814Z",
-     "shell.execute_reply": "2024-09-13T08:29:23.189226Z"
+     "iopub.execute_input": "2025-02-02T04:32:31.135549Z",
+     "iopub.status.busy": "2025-02-02T04:32:31.135169Z",
+     "iopub.status.idle": "2025-02-02T04:32:31.177267Z",
+     "shell.execute_reply": "2025-02-02T04:32:31.176787Z"
     },
     "tags": [
      "remove-input"
@@ -232,7 +232,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total Number of CVEs: **262756**<br />Average CVEs Per Day: **29.12**<br />Average CVSS Score: **7.11**"
+       "Total Number of CVEs: **279759**<br />Average CVEs Per Day: **30.53**<br />Average CVSS Score: **6.91**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -253,10 +253,10 @@
    "id": "20ee3a71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:23.192253Z",
-     "iopub.status.busy": "2024-09-13T08:29:23.191881Z",
-     "iopub.status.idle": "2024-09-13T08:29:23.195842Z",
-     "shell.execute_reply": "2024-09-13T08:29:23.195258Z"
+     "iopub.execute_input": "2025-02-02T04:32:31.179157Z",
+     "iopub.status.busy": "2025-02-02T04:32:31.178799Z",
+     "iopub.status.idle": "2025-02-02T04:32:31.182474Z",
+     "shell.execute_reply": "2025-02-02T04:32:31.182027Z"
     },
     "tags": [
      "remove-input"
@@ -266,7 +266,7 @@
     {
      "data": {
       "text/markdown": [
-       "This report is updated automatically every day, last generated on: **2024-09-13 08:29:23.192942**"
+       "This report is updated automatically every day, last generated on: **2025-02-02 04:32:31.179840**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -298,7 +298,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/CVEGrowth.ipynb b/CVEGrowth.ipynb
index 3d3fee1418..5606a7b073 100644
--- a/CVEGrowth.ipynb
+++ b/CVEGrowth.ipynb
@@ -14,10 +14,10 @@
    "id": "postal-angle",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:28.011360Z",
-     "iopub.status.busy": "2024-09-13T08:29:28.011173Z",
-     "iopub.status.idle": "2024-09-13T08:29:28.721124Z",
-     "shell.execute_reply": "2024-09-13T08:29:28.720552Z"
+     "iopub.execute_input": "2025-02-02T04:32:36.075179Z",
+     "iopub.status.busy": "2025-02-02T04:32:36.075007Z",
+     "iopub.status.idle": "2025-02-02T04:32:36.772218Z",
+     "shell.execute_reply": "2025-02-02T04:32:36.771656Z"
     },
     "tags": [
      "remove-cell"
@@ -100,10 +100,10 @@
    "id": "sophisticated-interstate",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:28.723465Z",
-     "iopub.status.busy": "2024-09-13T08:29:28.723124Z",
-     "iopub.status.idle": "2024-09-13T08:29:48.787206Z",
-     "shell.execute_reply": "2024-09-13T08:29:48.786666Z"
+     "iopub.execute_input": "2025-02-02T04:32:36.774399Z",
+     "iopub.status.busy": "2025-02-02T04:32:36.774020Z",
+     "iopub.status.idle": "2025-02-02T04:33:01.265810Z",
+     "shell.execute_reply": "2025-02-02T04:33:01.265201Z"
     },
     "tags": [
      "remove-cell"
@@ -224,10 +224,10 @@
    "id": "6ceed616",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:48.790065Z",
-     "iopub.status.busy": "2024-09-13T08:29:48.789552Z",
-     "iopub.status.idle": "2024-09-13T08:29:48.859152Z",
-     "shell.execute_reply": "2024-09-13T08:29:48.858628Z"
+     "iopub.execute_input": "2025-02-02T04:33:01.268082Z",
+     "iopub.status.busy": "2025-02-02T04:33:01.267614Z",
+     "iopub.status.idle": "2025-02-02T04:33:01.336408Z",
+     "shell.execute_reply": "2025-02-02T04:33:01.335879Z"
     },
     "tags": [
      "remove-cell"
@@ -248,10 +248,10 @@
    "id": "d46acbd3-cd6e-4079-8a6a-3dacd4b08cfb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:48.861858Z",
-     "iopub.status.busy": "2024-09-13T08:29:48.861471Z",
-     "iopub.status.idle": "2024-09-13T08:29:48.873949Z",
-     "shell.execute_reply": "2024-09-13T08:29:48.873448Z"
+     "iopub.execute_input": "2025-02-02T04:33:01.338493Z",
+     "iopub.status.busy": "2025-02-02T04:33:01.338067Z",
+     "iopub.status.idle": "2025-02-02T04:33:01.350199Z",
+     "shell.execute_reply": "2025-02-02T04:33:01.349614Z"
     },
     "tags": [
      "remove-input"
@@ -261,7 +261,7 @@
     {
      "data": {
       "text/html": [
-       "<table id=\"itables_6383ac43_66c6_4fb9_a5cc_4a9b235bdf9a\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<table id=\"itables_891add6b_0d57_4992_bad9_6ec9097c3549\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
        "<thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      \n",
@@ -272,7 +272,6 @@
        "    </tr>\n",
        "  </thead><tbody><tr>\n",
        "<td style=\"vertical-align:middle; text-align:left\">\n",
-       "<div style=\"float:left; margin-right: 10px;\">\n",
        "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
        "    <g style=\"fill:#d9d7fc\">\n",
@@ -363,24 +362,23 @@
        "    </g>\n",
        "</svg>\n",
        "</a>\n",
-       "</div>\n",
-       "<div>\n",
-       "Loading ITables v2.1.5 from the internet...\n",
+       "Loading ITables v2.2.4 from the internet...\n",
        "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
-       "</div>\n",
        "</tr></tbody>\n",
-       "\n",
        "</table>\n",
-       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.css\" rel=\"stylesheet\">\n",
        "<script type=\"module\">\n",
-       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.12/dt_bundle.js';\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.13/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_891add6b_0d57_4992_bad9_6ec9097c3549:not(.dataTable)\").forEach(table => {\n",
+       "        if (!(table instanceof HTMLTableElement))\n",
+       "            return;\n",
        "\n",
-       "    document.querySelectorAll(\"#itables_6383ac43_66c6_4fb9_a5cc_4a9b235bdf9a:not(.dataTable)\").forEach(table => {\n",
        "        // Define the table data\n",
-       "        const data = [[\"1988\", 2, 0.0, NaN], [\"1989\", 3, 0.0, 50.0], [\"1990\", 11, 0.0, 266.67], [\"1991\", 15, 0.01, 36.36], [\"1992\", 14, 0.01, -6.67], [\"1993\", 13, 0.0, -7.14], [\"1994\", 26, 0.01, 100.0], [\"1995\", 25, 0.01, -3.85], [\"1996\", 75, 0.03, 200.0], [\"1997\", 253, 0.1, 237.33], [\"1998\", 247, 0.09, -2.37], [\"1999\", 923, 0.35, 273.68], [\"2000\", 1020, 0.39, 10.51], [\"2001\", 1679, 0.64, 64.61], [\"2002\", 2170, 0.83, 29.24], [\"2003\", 1548, 0.59, -28.66], [\"2004\", 2479, 0.94, 60.14], [\"2005\", 5010, 1.91, 102.1], [\"2006\", 6659, 2.53, 32.91], [\"2007\", 6596, 2.51, -0.95], [\"2008\", 5664, 2.16, -14.13], [\"2009\", 5778, 2.2, 2.01], [\"2010\", 4667, 1.78, -19.23], [\"2011\", 4172, 1.59, -10.61], [\"2012\", 5351, 2.04, 28.26], [\"2013\", 5324, 2.03, -0.5], [\"2014\", 8008, 3.05, 50.41], [\"2015\", 6595, 2.51, -17.64], [\"2016\", 6517, 2.48, -1.18], [\"2017\", 18113, 6.89, 177.93], [\"2018\", 18154, 6.91, 0.23], [\"2019\", 18938, 7.21, 4.32], [\"2020\", 19222, 7.32, 1.5], [\"2021\", 21950, 8.35, 14.19], [\"2022\", 26431, 10.06, 20.41], [\"2023\", 30949, 11.78, 17.09], [\"2024\", 28155, 10.72, -9.03]];\n",
+       "        const data = [[\"1988\", 2, 0.0, NaN], [\"1989\", 3, 0.0, 50.0], [\"1990\", 11, 0.0, 266.67], [\"1991\", 15, 0.01, 36.36], [\"1992\", 14, 0.01, -6.67], [\"1993\", 13, 0.0, -7.14], [\"1994\", 26, 0.01, 100.0], [\"1995\", 25, 0.01, -3.85], [\"1996\", 75, 0.03, 200.0], [\"1997\", 253, 0.09, 237.33], [\"1998\", 247, 0.09, -2.37], [\"1999\", 923, 0.33, 273.68], [\"2000\", 1020, 0.36, 10.51], [\"2001\", 1679, 0.6, 64.61], [\"2002\", 2170, 0.78, 29.24], [\"2003\", 1548, 0.55, -28.66], [\"2004\", 2479, 0.89, 60.14], [\"2005\", 5010, 1.79, 102.1], [\"2006\", 6659, 2.38, 32.91], [\"2007\", 6596, 2.36, -0.95], [\"2008\", 5664, 2.02, -14.13], [\"2009\", 5778, 2.07, 2.01], [\"2010\", 4667, 1.67, -19.23], [\"2011\", 4172, 1.49, -10.61], [\"2012\", 5351, 1.91, 28.26], [\"2013\", 5324, 1.9, -0.5], [\"2014\", 8008, 2.86, 50.41], [\"2015\", 6595, 2.36, -17.64], [\"2016\", 6517, 2.33, -1.18], [\"2017\", 18113, 6.47, 177.93], [\"2018\", 18154, 6.49, 0.23], [\"2019\", 18938, 6.77, 4.32], [\"2020\", 19222, 6.87, 1.5], [\"2021\", 21950, 7.85, 14.19], [\"2022\", 26431, 9.45, 20.41], [\"2023\", 30949, 11.06, 17.09], [\"2024\", 40704, 14.55, 31.52], [\"2025\", 4454, 1.59, -89.06]];\n",
        "\n",
        "        // Define the dt_args\n",
-       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
        "        dt_args[\"data\"] = data;\n",
        "\n",
        "        \n",
@@ -414,10 +412,10 @@
    "id": "6d1b132c-4d52-40ad-9683-fc5e11caa8c1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:48.876392Z",
-     "iopub.status.busy": "2024-09-13T08:29:48.875999Z",
-     "iopub.status.idle": "2024-09-13T08:29:49.171462Z",
-     "shell.execute_reply": "2024-09-13T08:29:49.170891Z"
+     "iopub.execute_input": "2025-02-02T04:33:01.351971Z",
+     "iopub.status.busy": "2025-02-02T04:33:01.351654Z",
+     "iopub.status.idle": "2025-02-02T04:33:01.649696Z",
+     "shell.execute_reply": "2025-02-02T04:33:01.649085Z"
     },
     "tags": [
      "remove-input"
@@ -426,7 +424,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -447,10 +445,10 @@
    "id": "dc6c6302-aaac-48ed-9d78-6862b42b8073",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-13T08:29:49.173811Z",
-     "iopub.status.busy": "2024-09-13T08:29:49.173477Z",
-     "iopub.status.idle": "2024-09-13T08:29:49.448368Z",
-     "shell.execute_reply": "2024-09-13T08:29:49.447746Z"
+     "iopub.execute_input": "2025-02-02T04:33:01.651906Z",
+     "iopub.status.busy": "2025-02-02T04:33:01.651437Z",
+     "iopub.status.idle": "2025-02-02T04:33:01.936837Z",
+     "shell.execute_reply": "2025-02-02T04:33:01.936219Z"
     },
     "tags": [
      "remove-input"
@@ -459,7 +457,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x800 with 1 Axes>"
       ]
@@ -491,7 +489,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   },
   "vscode": {
    "interpreter": {
diff --git a/LICENSE b/LICENSE
index e95ededbd0..681e4c46ed 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2023 KhulnaSoft Lab
+Copyright (c) 2023 KhulnaSoft Ltd.
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
diff --git a/README.md b/README.md
index 492bccb6b3..0f91acb257 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,13 @@
 # cve-icu
+[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fkhulnasoft%2FCVE-ICU.svg?type=shield)](https://app.fossa.com/projects/git%2Bgithub.com%2Fkhulnasoft%2FCVE-ICU?ref=badge_shield)
+
 
 Jupuyter Book for CVE-icu
+
+
+## License and Compliance
+
+This project's license compliance is verified by FOSSA, an automated license compliance tool.
+
+[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fkhulnasoft%2FCVE-ICU.svg?type=large)](https://app.fossa.com/projects/git%2Bgithub.com%2Fkhulnasoft%2FCVE-ICU?ref=badge_large)
+[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fkhulnasoft%2FCVE-ICU.svg?type=large)](https://app.fossa.com/projects/git%2Bgithub.com%2Fkhulnasoft%2FCVE-ICU?ref=badge_large)