From 3cb598fa26acb24a50743573770bbc3dd2d8c3b4 Mon Sep 17 00:00:00 2001
From: Juan Emmanuel Johnson <emanjohnson91@gmail.com>
Date: Mon, 3 Jun 2024 17:00:08 +0200
Subject: [PATCH 1/4] Added changes to docs and notebooks. (#46)

* Add MkDocs. (#41)

* Simple MODIS PipeLine Completed.

* Working barebones GOES16 Pipeline

* Updates.

* Quick commit.

Co-authored-by: annajungbluth <annajungbluth@users.noreply.github.com>
Co-authored-by: Lilli Freischem <lillif@users.noreply.github.com>

* Coding session w/ Anna & Lilli

---------

Co-authored-by: annajungbluth <annajungbluth@users.noreply.github.com>
Co-authored-by: Lilli Freischem <lillif@users.noreply.github.com>

* More Mkdocs. (#42)

* Simple MODIS PipeLine Completed.

* Working barebones GOES16 Pipeline

* Updates.

* Quick commit.

Co-authored-by: annajungbluth <annajungbluth@users.noreply.github.com>
Co-authored-by: Lilli Freischem <lillif@users.noreply.github.com>

* Coding session w/ Anna & Lilli

* Add prelim docs.

---------

Co-authored-by: annajungbluth <annajungbluth@users.noreply.github.com>
Co-authored-by: Lilli Freischem <lillif@users.noreply.github.com>

* Updated docs.

* Updates.

* Final Updates.

* Updated the ReadMe.

* Fixed pictures.

* Fixed links.

* Fixed notebooks.

* Updated notebooks.

* Updates.

* Updated requirements and figure.

* Updated requirements.

* Updates.

* Updates.

* Updates.

* Final Updates.

---------

Co-authored-by: annajungbluth <annajungbluth@users.noreply.github.com>
Co-authored-by: Lilli Freischem <lillif@users.noreply.github.com>
---
 .env.example                                  |   5 +
 Makefile                                      |   6 +-
 config/miniset/satellite/goes.yaml            |   6 +-
 config/miniset/satellite/msg.yaml             |   2 +-
 docs/index.md                                 |   2 +-
 docs/pipelines/analysis_datasets.ipynb        |   4 +-
 docs/pipelines/goes16.ipynb                   | 149 +++++++++++++-----
 docs/pipelines/ml_ready_datasets.ipynb        |  89 +++++------
 docs/pipelines/msg.ipynb                      |  92 +++++------
 .../dev/pipelines/1.1-pipeline-goes16.ipynb   |   4 +-
 .../dev/pipelines/1.2-pipeline-msg.ipynb      |  17 +-
 rs_tools/_src/data/goes/downloader_goes16.py  |   1 +
 .../geoprocessing/goes/geoprocessor_goes16.py |   2 +
 13 files changed, 226 insertions(+), 153 deletions(-)

diff --git a/.env.example b/.env.example
index e69de29..7d7db5a 100644
--- a/.env.example
+++ b/.env.example
@@ -0,0 +1,5 @@
+ITI_DATA_SAVEDIR=MY/SAVEDIR/
+EARTHDATA_USERNAME=USERNAME
+EARTHDATA_PASSWORD=PASSWORD
+EUMDAC_KEY=KEYYY
+EUMDAC_SECRET=EXAMPLE
diff --git a/Makefile b/Makefile
index 4917d9d..82cd206 100644
--- a/Makefile
+++ b/Makefile
@@ -2,13 +2,13 @@
 .DEFAULT_GOAL = help
 
 PYTHON = python
-VERSION = 3.10
+VERSION = 3.11
 NAME = py_name
 ROOT = ./
 PIP = pip
 CONDA = conda
 SHELL = bash
-PKGROOT = finitevolx
+PKGROOT = rs_tools
 
 
 help:	## Display this help
@@ -32,5 +32,5 @@ format: ## Code styling - black, isort
 ##@ Testing
 test:  ## Test code using pytest.
 		@printf "\033[1;34mRunning tests with pytest...\033[0m\n\n"
-		pytest -v finitevolx
+		pytest -v rs_tools
 		@printf "\033[1;34mPyTest passes!\033[0m\n\n"
\ No newline at end of file
diff --git a/config/miniset/satellite/goes.yaml b/config/miniset/satellite/goes.yaml
index 0db7b77..6fd19c3 100644
--- a/config/miniset/satellite/goes.yaml
+++ b/config/miniset/satellite/goes.yaml
@@ -11,10 +11,10 @@ download:
 
 geoprocess:
   _target_: rs_tools._src.geoprocessing.goes.geoprocessor_goes16.geoprocess
-  read_path: /mnt/disks/data/miniset/goes16/raw
-  save_path: /mnt/disks/data/miniset-full-disk/goes16/geoprocessed
+  read_path: ${read_path}/goes16/raw
+  save_path: ${save_path}/goes16/geoprocessed
   resolution: null
-  region: null # "-45 0 -20 40"
+  region: "-45 0 -20 40"
   resample_method: null
 
 patch:
diff --git a/config/miniset/satellite/msg.yaml b/config/miniset/satellite/msg.yaml
index 99c651d..d5d3a27 100644
--- a/config/miniset/satellite/msg.yaml
+++ b/config/miniset/satellite/msg.yaml
@@ -14,7 +14,7 @@ geoprocess:
   read_path: /mnt/disks/data/miniset/msg/raw
   save_path: /mnt/disks/data/miniset-full-disk/msg/geoprocessed
   resolution: null
-  region: null # "-45 0 -20 40"
+  region: "-45 0 -20 40"
   resample_method: null
 
 patch:
diff --git a/docs/index.md b/docs/index.md
index 7441aa7..889210b 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -4,7 +4,7 @@
 
 ## What are RS-Tools?
 
-`rs_tools` is a toolbox of functions designed to 
+`rs_tools` is a toolbox of functions designed to handle all of the boilerplate code that comes with preprocessing.
 There is a high barrier to entry when working with remote sensing data for machine learning (ML) research.
 This is especially true for level 1 data which is typically raw radiance observations.
 There are often many domain-specific transformations that can completely make or break the success of the ML task.
diff --git a/docs/pipelines/analysis_datasets.ipynb b/docs/pipelines/analysis_datasets.ipynb
index b900436..83b578a 100644
--- a/docs/pipelines/analysis_datasets.ipynb
+++ b/docs/pipelines/analysis_datasets.ipynb
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 26,
    "id": "86a8d52f-849b-4f0b-a4ea-1e828d51488d",
    "metadata": {},
    "outputs": [
@@ -1894,7 +1894,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/docs/pipelines/goes16.ipynb b/docs/pipelines/goes16.ipynb
index ab0fd80..e021b09 100644
--- a/docs/pipelines/goes16.ipynb
+++ b/docs/pipelines/goes16.ipynb
@@ -20,6 +20,14 @@
     "> 3) create patches that are ready for ML consumption."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5c17d634-abcc-4099-ad3f-afaaa8463c14",
+   "metadata": {},
+   "source": [
+    "## Preamble"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -58,7 +66,9 @@
   {
    "cell_type": "markdown",
    "id": "070298b8-c943-4e73-a6fe-8e471b81c530",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "***\n",
     "\n",
@@ -176,12 +186,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 22,
    "id": "7b92c827-8a66-4173-8ef8-6f588d7531e3",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "download:\n",
+      "  _target_: rs_tools._src.data.goes.downloader_goes16.download\n",
+      "  save_dir: ${save_dir}/goes16/raw\n",
+      "  start_date: ${period.start_date}\n",
+      "  start_time: ${period.start_time}\n",
+      "  end_date: ${period.end_date}\n",
+      "  end_time: ${period.end_time}\n",
+      "  daily_window_t0: \"14:00:00\"\n",
+      "  daily_window_t1: \"20:00:00\"\n",
+      "  time_step: \"1:00:00\"\n",
+      "\n",
+      "geoprocess:\n",
+      "  _target_: rs_tools._src.geoprocessing.goes.geoprocessor_goes16.geoprocess\n",
+      "  read_path: ${read_path}/goes16/raw\n",
+      "  save_path: ${save_path}/goes16/geoprocessed\n",
+      "  resolution: null\n",
+      "  region: \"-130 -15 -90 5\"\n",
+      "  resample_method: bilinear\n",
+      "\n",
+      "# preprocess:\n",
+      "\n",
+      "patch:\n",
+      "  _target_: rs_tools._src.preprocessing.prepatcher.prepatch\n",
+      "  read_path: ${read_path}/goes16/geoprocessed\n",
+      "  save_path: ${save_path}/goes16/analysis\n",
+      "  patch_size: ${patch_size}\n",
+      "  stride_size: ${stride_size}\n",
+      "  nan_cutoff: ${nan_cutoff}\n",
+      "  save_filetype: ${save_filetype}\n"
+     ]
+    }
+   ],
    "source": [
-    "# !cat $autoroot.root/config/example/satellite/goes.yaml"
+    "!cat $autoroot.root/config/example/satellite/goes.yaml"
    ]
   },
   {
@@ -229,7 +275,9 @@
   {
    "cell_type": "markdown",
    "id": "e399b813-0540-4cce-b4c1-32a14424fbfa",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "***\n",
     "\n",
@@ -722,11 +770,11 @@
        "    time_coverage_start:       2020-10-01T15:00:19.6Z\n",
        "    time_coverage_end:         2020-10-01T15:09:50.4Z\n",
        "    LUT_Filenames:             SpaceLookParams(FM1A_CDRL79RevP_PR_09_00_02)-6...\n",
-       "    id:                        ae981973-758f-4213-b71e-e619d91ddddb</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2bb0badc-c413-4997-805d-137aa0d51242' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2bb0badc-c413-4997-805d-137aa0d51242' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 302</li><li><span class='xr-has-index'>y</span>: 207</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>band_wavelength</span>: 16</li><li><span class='xr-has-index'>band</span>: 16</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3ab48551-f01a-4754-b4d0-9cbb4f1b1eea' class='xr-section-summary-in' type='checkbox'  ><label for='section-3ab48551-f01a-4754-b4d0-9cbb4f1b1eea' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.64e+06 -4.63e+06 ... -1.63e+06</div><input id='attrs-ba1897f5-b261-4bdc-b918-c3be1b345ab8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba1897f5-b261-4bdc-b918-c3be1b345ab8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff4c92d1-2da9-4114-9933-dbaf4d8e9674' class='xr-var-data-in' type='checkbox'><label for='data-ff4c92d1-2da9-4114-9933-dbaf4d8e9674' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([-4640312.504387, -4630312.504387, -4620312.504387, ..., -1650312.504387,\n",
-       "       -1640312.504387, -1630312.504387])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.431e+05 5.331e+05 ... -1.517e+06</div><input id='attrs-455b857d-65ca-4610-b3e4-ccbca7804394' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-455b857d-65ca-4610-b3e4-ccbca7804394' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76db5698-4767-4e23-a022-41e72f657be6' class='xr-var-data-in' type='checkbox'><label for='data-76db5698-4767-4e23-a022-41e72f657be6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([  543098.816912,   533098.816912,   523098.816912, ..., -1496901.183088,\n",
-       "       -1506901.183088, -1516901.183088])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U16</div><div class='xr-var-preview xr-preview'>&#x27;2020-10-01 15:05&#x27;</div><input id='attrs-024f535e-c057-42a6-b956-844ef9516a5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-024f535e-c057-42a6-b956-844ef9516a5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab4eb38-7791-402b-999f-99e70923b989' class='xr-var-data-in' type='checkbox'><label for='data-eab4eb38-7791-402b-999f-99e70923b989' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-01 15:05&#x27;], dtype=&#x27;&lt;U16&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band_wavelength</span></div><div class='xr-var-dims'>(band_wavelength)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.47 0.64 0.87 ... 12.27 13.27</div><input id='attrs-bf69883e-9eb0-404a-a94c-8b509f27e68c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf69883e-9eb0-404a-a94c-8b509f27e68c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-547f20d9-9154-4335-908c-82ba7f989f49' class='xr-var-data-in' type='checkbox'><label for='data-547f20d9-9154-4335-908c-82ba7f989f49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>array([ 0.47,  0.64,  0.87,  1.38,  1.61,  2.25,  3.89,  6.17,  6.93,  7.34,\n",
-       "        8.44,  9.61, 10.33, 11.19, 12.27, 13.27], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 11 12 13 14 15 16</div><input id='attrs-4312bce1-de73-4419-9b27-e81f813772c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4312bce1-de73-4419-9b27-e81f813772c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20a74c16-8d38-42ec-9340-6d809f4ca3a6' class='xr-var-data-in' type='checkbox'><label for='data-20a74c16-8d38-42ec-9340-6d809f4ca3a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band number</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16],\n",
-       "      dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afa0bbff-3582-49ac-80f9-9109625366e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afa0bbff-3582-49ac-80f9-9109625366e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10359456-62ac-4562-a543-2af55c25f1d7' class='xr-var-data-in' type='checkbox'><label for='data-10359456-62ac-4562-a543-2af55c25f1d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[62514 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51d1abd6-92d8-4daa-90dc-c9c3e9dc1701' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51d1abd6-92d8-4daa-90dc-c9c3e9dc1701' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8fe1c80-5e9d-450e-b8ae-6ca51b808c9e' class='xr-var-data-in' type='checkbox'><label for='data-b8fe1c80-5e9d-450e-b8ae-6ca51b808c9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[62514 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0eb0f7e4-8451-4ada-b784-4abbfe8c104d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eb0f7e4-8451-4ada-b784-4abbfe8c104d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2a35922-ccbe-4fd7-84b8-4bb82120d76c' class='xr-var-data-in' type='checkbox'><label for='data-a2a35922-ccbe-4fd7-84b8-4bb82120d76c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI L2+ Clear Sky Mask</dd><dt><span>standard_name :</span></dt><dd>cloud_binary_mask</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[62514 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-55ef1d99-69fe-4603-8643-2da0c24784af' class='xr-section-summary-in' type='checkbox'  ><label for='section-55ef1d99-69fe-4603-8643-2da0c24784af' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rad</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27dbad24-8c15-4961-a37b-41a3826b3ff3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27dbad24-8c15-4961-a37b-41a3826b3ff3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a4d986f-9705-4849-a989-e5cdc86cf6f7' class='xr-var-data-in' type='checkbox'><label for='data-6a4d986f-9705-4849-a989-e5cdc86cf6f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI L1b Radiances</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavelength</dd><dt><span>units :</span></dt><dd>W m-2 sr-1 um-1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd></dl></div><div class='xr-var-data'><pre>[1000224 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96800fdb-96aa-46c3-a460-82aca7a8f34d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96800fdb-96aa-46c3-a460-82aca7a8f34d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a0ff83c-2a62-48ff-bd51-ded0ee7a6387' class='xr-var-data-in' type='checkbox'><label for='data-7a0ff83c-2a62-48ff-bd51-ded0ee7a6387' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd></dl></div><div class='xr-var-data'><pre>[1000224 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-351f3b88-664d-48cd-b886-bb08b321549c' class='xr-section-summary-in' type='checkbox'  ><label for='section-351f3b88-664d-48cd-b886-bb08b321549c' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c075337f-5e52-4897-ac23-3ca8599f9604' class='xr-index-data-in' type='checkbox'/><label for='index-c075337f-5e52-4897-ac23-3ca8599f9604' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -4640312.504387059,  -4630312.504387059,  -4620312.504387059,\n",
+       "    id:                        ae981973-758f-4213-b71e-e619d91ddddb</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f96242a4-184b-449a-ba8e-2df4439a92da' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f96242a4-184b-449a-ba8e-2df4439a92da' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 302</li><li><span class='xr-has-index'>y</span>: 207</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>band_wavelength</span>: 16</li><li><span class='xr-has-index'>band</span>: 16</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c6fcf96b-1f79-4bc6-a3f7-d962da9cd0c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-c6fcf96b-1f79-4bc6-a3f7-d962da9cd0c9' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.64e+06 -4.63e+06 ... -1.63e+06</div><input id='attrs-047742a9-3da6-40f1-96c9-add3a94ee27d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-047742a9-3da6-40f1-96c9-add3a94ee27d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08264034-7825-4c55-a485-334acb6566fd' class='xr-var-data-in' type='checkbox'><label for='data-08264034-7825-4c55-a485-334acb6566fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([-4640312.504387, -4630312.504387, -4620312.504387, ..., -1650312.504387,\n",
+       "       -1640312.504387, -1630312.504387])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.431e+05 5.331e+05 ... -1.517e+06</div><input id='attrs-6cd81fff-c23a-42ce-a7c3-f1c4433e11cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cd81fff-c23a-42ce-a7c3-f1c4433e11cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa341c27-e259-4ad0-8138-e4bf37e83d1a' class='xr-var-data-in' type='checkbox'><label for='data-fa341c27-e259-4ad0-8138-e4bf37e83d1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([  543098.816912,   533098.816912,   523098.816912, ..., -1496901.183088,\n",
+       "       -1506901.183088, -1516901.183088])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U16</div><div class='xr-var-preview xr-preview'>&#x27;2020-10-01 15:05&#x27;</div><input id='attrs-ff5efc0d-8843-40c5-b225-a917d9c08b5b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff5efc0d-8843-40c5-b225-a917d9c08b5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ae1ff98-e482-4127-8ae2-83eeeb378c1c' class='xr-var-data-in' type='checkbox'><label for='data-9ae1ff98-e482-4127-8ae2-83eeeb378c1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-01 15:05&#x27;], dtype=&#x27;&lt;U16&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band_wavelength</span></div><div class='xr-var-dims'>(band_wavelength)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.47 0.64 0.87 ... 12.27 13.27</div><input id='attrs-7d6817c4-0943-4cce-9261-0ca3ccf5b18d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d6817c4-0943-4cce-9261-0ca3ccf5b18d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34d9abae-163d-4cd2-bd7c-3d7ae31455fc' class='xr-var-data-in' type='checkbox'><label for='data-34d9abae-163d-4cd2-bd7c-3d7ae31455fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>array([ 0.47,  0.64,  0.87,  1.38,  1.61,  2.25,  3.89,  6.17,  6.93,  7.34,\n",
+       "        8.44,  9.61, 10.33, 11.19, 12.27, 13.27], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 11 12 13 14 15 16</div><input id='attrs-fca7f93c-c92b-4fa2-a1e8-939f318cc34e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fca7f93c-c92b-4fa2-a1e8-939f318cc34e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0101f653-7206-45cc-a9f2-e8923e7a59ea' class='xr-var-data-in' type='checkbox'><label for='data-0101f653-7206-45cc-a9f2-e8923e7a59ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band number</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16],\n",
+       "      dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-822e3028-f0f6-4083-b7ad-2695a9638e0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-822e3028-f0f6-4083-b7ad-2695a9638e0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c6c30af-dea4-438f-9b4d-f9e652aa2785' class='xr-var-data-in' type='checkbox'><label for='data-7c6c30af-dea4-438f-9b4d-f9e652aa2785' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[62514 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36823ff4-c853-4a77-a2f1-6d343fb6327b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36823ff4-c853-4a77-a2f1-6d343fb6327b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc33fd75-e9b8-4120-b052-3a7f1e464ac4' class='xr-var-data-in' type='checkbox'><label for='data-bc33fd75-e9b8-4120-b052-3a7f1e464ac4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[62514 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5178965-ce7a-4d00-8d52-42138308b515' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5178965-ce7a-4d00-8d52-42138308b515' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c43f4d7b-4f3d-4871-8f85-8c9955f1a9c6' class='xr-var-data-in' type='checkbox'><label for='data-c43f4d7b-4f3d-4871-8f85-8c9955f1a9c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI L2+ Clear Sky Mask</dd><dt><span>standard_name :</span></dt><dd>cloud_binary_mask</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[62514 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f11f1595-477c-4823-a9d4-b0fa66256492' class='xr-section-summary-in' type='checkbox'  ><label for='section-f11f1595-477c-4823-a9d4-b0fa66256492' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rad</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-506f3b1e-c2be-4a86-a92b-920fdbf23f2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-506f3b1e-c2be-4a86-a92b-920fdbf23f2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd68e0d-7e33-494e-ac5f-4fa052d63506' class='xr-var-data-in' type='checkbox'><label for='data-ddd68e0d-7e33-494e-ac5f-4fa052d63506' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI L1b Radiances</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavelength</dd><dt><span>units :</span></dt><dd>W m-2 sr-1 um-1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd></dl></div><div class='xr-var-data'><pre>[1000224 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10190dd6-f494-4718-84ad-8a862518230d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10190dd6-f494-4718-84ad-8a862518230d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-346ab14e-a9af-4082-963a-02a4f4dc799b' class='xr-var-data-in' type='checkbox'><label for='data-346ab14e-a9af-4082-963a-02a4f4dc799b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd></dl></div><div class='xr-var-data'><pre>[1000224 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cba8c351-2786-4c90-934d-cf7bd635529f' class='xr-section-summary-in' type='checkbox'  ><label for='section-cba8c351-2786-4c90-934d-cf7bd635529f' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3c164fb9-a635-40d5-8d6c-e01a1414dd51' class='xr-index-data-in' type='checkbox'/><label for='index-3c164fb9-a635-40d5-8d6c-e01a1414dd51' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -4640312.504387059,  -4630312.504387059,  -4620312.504387059,\n",
        "        -4610312.504387059,  -4600312.504387059,  -4590312.504387059,\n",
        "        -4580312.504387059,  -4570312.504387059,  -4560312.504387059,\n",
        "        -4550312.504387059,\n",
@@ -735,7 +783,7 @@
        "       -1690312.5043870592, -1680312.5043870592, -1670312.5043870592,\n",
        "       -1660312.5043870592, -1650312.5043870592, -1640312.5043870592,\n",
        "       -1630312.5043870592],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=302))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-443bc287-72af-4c6f-b7c8-e50d404f9966' class='xr-index-data-in' type='checkbox'/><label for='index-443bc287-72af-4c6f-b7c8-e50d404f9966' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 543098.8169122998,  533098.8169122998, 523098.81691229984,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=302))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ff58c45-4d5a-4de4-a745-4381b670d882' class='xr-index-data-in' type='checkbox'/><label for='index-5ff58c45-4d5a-4de4-a745-4381b670d882' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 543098.8169122998,  533098.8169122998, 523098.81691229984,\n",
        "       513098.81691229984, 503098.81691229984, 493098.81691229984,\n",
        "       483098.81691229984, 473098.81691229984, 463098.81691229984,\n",
        "       453098.81691229984,\n",
@@ -744,13 +792,13 @@
        "         -1456901.1830877,   -1466901.1830877,   -1476901.1830877,\n",
        "         -1486901.1830877,   -1496901.1830877,   -1506901.1830877,\n",
        "         -1516901.1830877],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=207))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-14af5098-135a-4de3-9def-210b6680a709' class='xr-index-data-in' type='checkbox'/><label for='index-14af5098-135a-4de3-9def-210b6680a709' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2020-10-01 15:05&#x27;], dtype=&#x27;object&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band_wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-723c9042-f5eb-4a4b-8015-14e3f0387f23' class='xr-index-data-in' type='checkbox'/><label for='index-723c9042-f5eb-4a4b-8015-14e3f0387f23' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.4699999988079071, 0.6399999856948853, 0.8700000047683716,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=207))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5b688838-c2bc-4a33-911f-1fa1f0c59725' class='xr-index-data-in' type='checkbox'/><label for='index-5b688838-c2bc-4a33-911f-1fa1f0c59725' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2020-10-01 15:05&#x27;], dtype=&#x27;object&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band_wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3a129061-a4dc-4d4c-acaf-7eea9c231c1c' class='xr-index-data-in' type='checkbox'/><label for='index-3a129061-a4dc-4d4c-acaf-7eea9c231c1c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.4699999988079071, 0.6399999856948853, 0.8700000047683716,\n",
        "       1.3799999952316284, 1.6100000143051147,               2.25,\n",
        "        3.890000104904175,  6.170000076293945,  6.929999828338623,\n",
        "        7.340000152587891,    8.4399995803833,  9.609999656677246,\n",
        "       10.329999923706055,   11.1899995803833, 12.270000457763672,\n",
        "       13.270000457763672],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;band_wavelength&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9a9189ca-0574-470e-9857-4df49002e623' class='xr-index-data-in' type='checkbox'/><label for='index-9a9189ca-0574-470e-9857-4df49002e623' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], dtype=&#x27;int8&#x27;, name=&#x27;band&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71bd3384-17e8-45e5-b57d-1b69d7cc7839' class='xr-section-summary-in' type='checkbox'  ><label for='section-71bd3384-17e8-45e5-b57d-1b69d7cc7839' class='xr-section-summary' >Attributes: <span>(30)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>naming_authority :</span></dt><dd>gov.nesdis.noaa</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v35, 20 July 2016)</dd><dt><span>institution :</span></dt><dd>DOC/NOAA/NESDIS &gt; U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Services</dd><dt><span>project :</span></dt><dd>GOES</dd><dt><span>production_site :</span></dt><dd>RBU</dd><dt><span>production_environment :</span></dt><dd>OE</dd><dt><span>spatial_resolution :</span></dt><dd>1km at nadir</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>orbital_slot :</span></dt><dd>GOES-East</dd><dt><span>platform_ID :</span></dt><dd>G16</dd><dt><span>instrument_type :</span></dt><dd>GOES R Series Advanced Baseline Imager</dd><dt><span>scene_id :</span></dt><dd>Full Disk</dd><dt><span>instrument_ID :</span></dt><dd>FM1</dd><dt><span>title :</span></dt><dd>ABI L1b Radiances</dd><dt><span>summary :</span></dt><dd>Single reflective band ABI L1b Radiance Products are digital maps of outgoing radiance values at the top of the atmosphere for visible and near-IR bands.</dd><dt><span>keywords :</span></dt><dd>SPECTRAL/ENGINEERING &gt; VISIBLE WAVELENGTHS &gt; VISIBLE RADIANCE</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 7.0.0.0.0</dd><dt><span>iso_series_metadata_id :</span></dt><dd>a70be540-c38b-11e0-962b-0800200c9a66</dd><dt><span>license :</span></dt><dd>Unclassified data.  Access is restricted to approved users only.</dd><dt><span>processing_level :</span></dt><dd>National Aeronautics and Space Administration (NASA) L1b</dd><dt><span>cdm_data_type :</span></dt><dd>Image</dd><dt><span>dataset_name :</span></dt><dd>OR_ABI-L1b-RadF-M6C01_G16_s20202751500196_e20202751509504_c20202751509565.nc</dd><dt><span>production_data_source :</span></dt><dd>Realtime</dd><dt><span>timeline_id :</span></dt><dd>ABI Mode 6</dd><dt><span>date_created :</span></dt><dd>2020-10-01T15:09:56.5Z</dd><dt><span>time_coverage_start :</span></dt><dd>2020-10-01T15:00:19.6Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-10-01T15:09:50.4Z</dd><dt><span>LUT_Filenames :</span></dt><dd>SpaceLookParams(FM1A_CDRL79RevP_PR_09_00_02)-633686100.0.h5 QTableBand01(FM1A_CDRL79RevH_DO_07_00_00)-582860861.0.h5 CalTargetTimeIntervals(FM1A_CDRL79RevP_DO_08_00_01)-611906620.0.h5 BandSaturationLimits(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 SolarSpaceLookParams(FM1A_CDRL79RevH_DO_09_00_00)-600765435.0.h5 DeadRowListParams(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 Mirror_Record(FM1A_CDRL79RevG_DO_07_00_00)-582860861.0.h5 KalmanAstroConsts(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.xml KalmanFilterControls(FM1A_CDRL79RevJ_PR_09_02_06)-651055200.0.xml KalmanMeasMaxSensibles(FMAA_INT_ONLY_DO_09_01_00)-651039038.0.xml KalmanPreprocessorControls(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml KalmanReferenceData(FM1A_CDRL79RevH_DO_08_00_00)-888.0.xml KalmanStarCatalogs(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.xml ABI_NavigationRDP_Band01(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml ABI_NavigationParameters_Band01(FM1A_CDRL79RevH_DO_07_00_00)-582860861.0.xml ABI_ResamplingImplementation_Band01(FM1A_CDRL79RevH_DO_07_02_00)-602129336.0.xml ABI_ResamplingParameters_Band01(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml StarLookParams(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 StarDetectionParams(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml ResamplingScaledConversion(FMAA_INT_ONLY_DO_08_00_00)-1111.0.xml BlockReleaseRegions(FMAA_INT_ONLY_DO_08_00_00)-2222.0.csv VNIR_RetrievalParameters(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 SCT_Record(FM1A_CDRL79RevM_DO_09_00_00)-600765435.0.h5 ICM_ConversionConsts(FM1A_CDRL43-18_DO_09_01_00)-651038920.0.h5 ICM_SensorCoefficients(FM1A_TMABI_18_159_TMABI_18_533_DO_09_01_00)-651038920.0.h5</dd><dt><span>id :</span></dt><dd>ae981973-758f-4213-b71e-e619d91ddddb</dd></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float32&#x27;, name=&#x27;band_wavelength&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-06920a3f-c74a-46f4-9de6-181b74c7551a' class='xr-index-data-in' type='checkbox'/><label for='index-06920a3f-c74a-46f4-9de6-181b74c7551a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], dtype=&#x27;int8&#x27;, name=&#x27;band&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7378b1a-49b7-4eb5-8a0b-b449b149e19c' class='xr-section-summary-in' type='checkbox'  ><label for='section-d7378b1a-49b7-4eb5-8a0b-b449b149e19c' class='xr-section-summary' >Attributes: <span>(30)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>naming_authority :</span></dt><dd>gov.nesdis.noaa</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v35, 20 July 2016)</dd><dt><span>institution :</span></dt><dd>DOC/NOAA/NESDIS &gt; U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Services</dd><dt><span>project :</span></dt><dd>GOES</dd><dt><span>production_site :</span></dt><dd>RBU</dd><dt><span>production_environment :</span></dt><dd>OE</dd><dt><span>spatial_resolution :</span></dt><dd>1km at nadir</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>orbital_slot :</span></dt><dd>GOES-East</dd><dt><span>platform_ID :</span></dt><dd>G16</dd><dt><span>instrument_type :</span></dt><dd>GOES R Series Advanced Baseline Imager</dd><dt><span>scene_id :</span></dt><dd>Full Disk</dd><dt><span>instrument_ID :</span></dt><dd>FM1</dd><dt><span>title :</span></dt><dd>ABI L1b Radiances</dd><dt><span>summary :</span></dt><dd>Single reflective band ABI L1b Radiance Products are digital maps of outgoing radiance values at the top of the atmosphere for visible and near-IR bands.</dd><dt><span>keywords :</span></dt><dd>SPECTRAL/ENGINEERING &gt; VISIBLE WAVELENGTHS &gt; VISIBLE RADIANCE</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 7.0.0.0.0</dd><dt><span>iso_series_metadata_id :</span></dt><dd>a70be540-c38b-11e0-962b-0800200c9a66</dd><dt><span>license :</span></dt><dd>Unclassified data.  Access is restricted to approved users only.</dd><dt><span>processing_level :</span></dt><dd>National Aeronautics and Space Administration (NASA) L1b</dd><dt><span>cdm_data_type :</span></dt><dd>Image</dd><dt><span>dataset_name :</span></dt><dd>OR_ABI-L1b-RadF-M6C01_G16_s20202751500196_e20202751509504_c20202751509565.nc</dd><dt><span>production_data_source :</span></dt><dd>Realtime</dd><dt><span>timeline_id :</span></dt><dd>ABI Mode 6</dd><dt><span>date_created :</span></dt><dd>2020-10-01T15:09:56.5Z</dd><dt><span>time_coverage_start :</span></dt><dd>2020-10-01T15:00:19.6Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-10-01T15:09:50.4Z</dd><dt><span>LUT_Filenames :</span></dt><dd>SpaceLookParams(FM1A_CDRL79RevP_PR_09_00_02)-633686100.0.h5 QTableBand01(FM1A_CDRL79RevH_DO_07_00_00)-582860861.0.h5 CalTargetTimeIntervals(FM1A_CDRL79RevP_DO_08_00_01)-611906620.0.h5 BandSaturationLimits(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 SolarSpaceLookParams(FM1A_CDRL79RevH_DO_09_00_00)-600765435.0.h5 DeadRowListParams(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 Mirror_Record(FM1A_CDRL79RevG_DO_07_00_00)-582860861.0.h5 KalmanAstroConsts(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.xml KalmanFilterControls(FM1A_CDRL79RevJ_PR_09_02_06)-651055200.0.xml KalmanMeasMaxSensibles(FMAA_INT_ONLY_DO_09_01_00)-651039038.0.xml KalmanPreprocessorControls(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml KalmanReferenceData(FM1A_CDRL79RevH_DO_08_00_00)-888.0.xml KalmanStarCatalogs(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.xml ABI_NavigationRDP_Band01(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml ABI_NavigationParameters_Band01(FM1A_CDRL79RevH_DO_07_00_00)-582860861.0.xml ABI_ResamplingImplementation_Band01(FM1A_CDRL79RevH_DO_07_02_00)-602129336.0.xml ABI_ResamplingParameters_Band01(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml StarLookParams(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 StarDetectionParams(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml ResamplingScaledConversion(FMAA_INT_ONLY_DO_08_00_00)-1111.0.xml BlockReleaseRegions(FMAA_INT_ONLY_DO_08_00_00)-2222.0.csv VNIR_RetrievalParameters(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 SCT_Record(FM1A_CDRL79RevM_DO_09_00_00)-600765435.0.h5 ICM_ConversionConsts(FM1A_CDRL43-18_DO_09_01_00)-651038920.0.h5 ICM_SensorCoefficients(FM1A_TMABI_18_159_TMABI_18_533_DO_09_01_00)-651038920.0.h5</dd><dt><span>id :</span></dt><dd>ae981973-758f-4213-b71e-e619d91ddddb</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 10MB\n",
@@ -800,7 +848,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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//PZM/TnnnMNFF11ELBZ73PmNRoNvfetbTExMEIlEqFarPPzww/z6179uy9S2bd74xjfymc98hmXLlv1B/du1axdHHXUUs7OzDA4O8oY3vIFKpcKxxx7L29/+duLx+B90/2eSe+65hyOOOAKAL33pS5x77rntY5/85Cf56Ec/ihCC3bt3/58B2k9Z1/0DDJU/CvRMf2dRLBZlsVh8truhCdHy6Cy0PDoLLY/O4UCShe/78kc/+pE85phj2rPUH/zgB2UQBE/5Hj/60Y/2meW+9tpr5W9/+1t57rnnynvuuef36s/o6Kj82te+Jl/1qlfJaDTavuef/MmfyJGRkd/38aSUauXmkksu2ecZU6mU/NrXvvZ7Pedjefvb3y4BecQRR8jp6emnfZ/F4qSTTpKA/NznPiellHJ4eFj+0z/9U3tM/uVf/uUp3eep6rpa6dcsKs/VJdo/VrQ8Ogstj85Cy6NzOBBl4fu+vPDCC9sK4Be+8IWnfG2z2ZRHHHFE+9oHHnhgHwX7G9/4xv95jx07dsg3velN0jCMfQyIFStWyH/8x3+U5XL5cf395S9/Kb/yla/IT3/60/KSSy6Rt9122/+pxN95553yxBNPbN//rLPOelqK/5YtW9p9ve22237v658NvvCFL0hAOo4jDznkkH3G+b3vfe9Tvo9W+kO00t9ZHEizNX8MaHl0FloenYWWR+dwIMvic5/7nARkMpmUzWbzKV93yy23tBXIrq6ux/m4X3zxxU967TXXXCPz+Xz73GOOOUb+4z/+o7zvvvtkEASPk8f09HR71vqx27HHHitvv/3239lXz/PkF77wBek4zu9t4EipFP7DDjtMAvKMM874va59NqnVao8btxNOOEF+5Stfka7rPuX7PFVdt3MSqWo0Go1Go9Fo9uGv/uqv+Pu//3sqlQrj4+NP2e/92GOP5Ytf/CKf/vSnnzBDzHnnnUe5XOZlL3sZ8Xic4eFhbrnlFn74wx9yxx13AHDMMcfwta99jcMPP/xJ27n88ss599xzKZfLJBIJTj31VHK5HGNjY9xwww3cfvvtnHTSSXz0ox/l/PPPf0Lff9M0+au/+iui0SjnnXceH/rQh3Bdl7/5m7950jz2oLIIXXLJJZx//vnUajXy+Tyf/exnn9L4dAKxWIzf/va33HLLLczOznLUUUcxNDS039rTgbyaRaVarQKQSCSe5Z5oQMuj09Dy6Cy0PDqHA1kWzWaTZDKJ53l85jOfIZ/Pc+aZZ5LNZp/S9ZOTk/zsZz8jk8kQiUTo6+vjy1/+Mt/5znee9BrDMHjb297GV77ylSdU0uflUalUWLVqFbVajfXr1/Pd736XI488cp+2zznnHH7+858DcNBBB3HRRRdxyimnPGG7Ukre/e53841vfAOAU045hUsvvZQlS5Y87tzp6Wne85738OMf/xiAU089le985zv7VWnuVHQgb4h27+ksDuQl2k5Ey6Oz0PLoLLQ8OocDWRbnn3/+41xmMpmMvOiii6TneU/rns1mU37+85+XL37xi2UymZTJZFIuX75cvvrVr5Zf/vKX/89UofPyeMc73iEBuX79eun7/hOe63mevOSSS2Q6nZaAFELIL37xi0967yAI5CWXXCLj8bgEZD6fl1dddVX7+EMPPSTf8573yFQqJQFp27b8/Oc//6TtHwjolJ0heqa/syiXywCkUqlnuSca0PLoNLQ8Ogstj87hQJVFoVAgl8sB8IpXvIL//d//3ef43/3d3/HpT3960ftVLpcZHR1lw4YNAE9JxxoZGeHCCy9sz+L/7Gc/41WvehXFYpFyufy42fytW7fy5je/mbvuuou+vj62bt1KNBpl6dKlTE5OAnDYYYfxrW99q5368kDlqeq6uiKvZlERQjwjuYI1zwxaHp2FlkdnoeXRORyosshms5x55pkAXHXVVY87fskllyx2l5BSctlll3Hssce2933oQx96wnP37t3LaaedxsaNG9m6dSuXXHIJhxxyCABnnHEGQgiy2SwrVqzg4Ycf3ufadevWccMNN7BmzRomJiZ45Stf2a5SCyoO4O677z7gFf7fB630axaVIAj2a+ltze+HlkdnoeXRWWh5dA4Hsiwuv/xyXve619FqtR53bHp6mtnZWUqlEpdeein/9E//xM9//nN27NjB8PAwP/nJT9i+ffsf3AcpJXfffTeXX345L3nJSzjvvPMolUocc8wx3H///Zx11lmPu6bRaPCFL3yBq666ii1btvBv//ZvAJx++umPO9f3fd7//vc/TsaxWIxLLrmEZDLJjTfeyMknn8wXv/jF9jXPxLMdSOjsPZpF5XdF4WsWHy2PzkLLo7PQ8ugcDmRZOI7DD3/4Q2644Qbuv/9+brnlFoQQ/PSnP6VcLjMwMEAkEmm7QD0RH/nIR+jq6uL1r3/9/1nd9bHU63XOPPNMfvGLX7T3RSIRPvKRj/C3f/u3WNYTq5LPf/7zufvuu9t/H3bYYQD8/d//PZdffjnj4+P7nP+b3/wGx3HYsWPHPhmKXvSiF3Hvvfdyxhln8NBDD/Hxj3+co446irvuuovf/OY3rFmz5vd6ngOZA/dTpHlWkKo2xLPdDU2IlkdnoeXRWWh5dA4HuiyEEJx00kmcd955XH755Vx22WVcd9119Pf302q12gr/m970JjZs2EA8Ht/n+k9+8pOcf/75rFy5kmOOOeZ3Zu55LJdddllb4X/hC1/IBz7wAW6//Xb+4i/+4kkVft/3OfXUU9t9F0Lwohe9CIBcLscDDzzwhG45vu+zfPlyduzYsc/+VatW8etf/5ply5axbdu2tt/6nj17nvJzaLTSr1lkDvQv7k5Dy6Oz0PLoLLQ8Ogcti8dzxBFH7BPYe+KJJ/Kf//mfbN68mWq1iud5/PjHP+b000/nrW99Ky960YvwfZ8777yTs88+my1btjyldkZHRwEVrHvVVVfxr//6r6xYseJ3ysM0TVatWsWFF17Ib37zG2666SZe/OIXA0qWb33rW9urAB/60IeYnp7m5JNPbl//k5/85HH3HBoa4stf/vI++x67WqD53WilX7OomKaJaZrPdjc0IVoenYWWR2eh5dE5aFk8MUcccQSf/exnsSyL97///fscM02T1772tfzyl7/ksssu49prr2XXrl0cfPDBSCn5whe+sM/5nudx2223PS524LTTTsMwDDZt2sT73ve+9r3/L3m8733v42Mf+xinnnoqJ5xwQnt/s9nk17/+NQCWZXHuuefS1dXFNddcw80338zll1/Ou971rie853HHHbfP3zMzM7+zD5p90Uq/ZlHxfR/f95/tbmhCtDw6Cy2PzkLLo3PQsnhyPvShD1Gv158wmPaxLF++nIsvvhiAb3zjG2zatAlQ6THXrVvH8ccfz6c+9al9rjnxxBP5/ve/jxCCb37zm1x22WV/kDyi0ShHH300AJ/61KdYvnx5+9gJJ5zAW97yFtLp9BNem8lkyOfz7b+fKChY8+RopV+zqOgl2s5Cy6Oz0PLoLLQ8Ogcti9/Nk/nWPxEnnngif/qnf4qUkvPOO4+dO3fyuc99jp07dwJw/fXXP+6aN7zhDfz93/89AGeffTY/+MEP/iB5nHPOOYBS+qempp7ydbZtc+211/J3f/d3XHHFFZx77rlPuw8HIlrp1ywqtm1j2/az3Q1NiJZHZ6Hl0VloeXQOWhbPDOPj43zmM5/hVa96FfF4nFtvvZVVq1btk+///vvvf8L0oJ/4xCc4++yz8X2fd73rXU9oHDxVzjnnHA4//HAKhQIXXHDB73XtIYccwqc//Wne/OY3H5C1G/4QtNKvWVQ8z8PzvGe7G5oQLY/OQsujs9Dy6By0LP5warUaxx9/PB/+8Ic5++yzufjii3nxi1/8OMV5enqa733ve4+73jAMLrnkEt761rcipeSTn/zk0+6LaZr8+7//OwBf//rXueOOO572vTRPHa30azQajUaj0TzH+dGPftSuaNtqtbjtttu4+uqreeihh/jIRz7C9773Pf7xH/8RgH/5l395nPvO9ddfzwc+8AFGRkYAuOOOO6jVak+7Py984QvbbkZveMMbdCaeRUAX59IsKjr7Qmeh5dFZaHl0FloenYOWxR9Of3//Pn9//etf55//+Z/ZsGEDn/jEJwA1y//Rj36Uu+++m4mJifY1v/rVr3j5y1++jyHwqle9img0+gf16Utf+hJ33XUXW7du5XWvex3XXHPNH3xPzZOjZ/o1i4rOwNBZaHl0FloenYWWR+egZfGH85KXvGQfl5xWq8Xs7Ow+53R3d9Pd3Q3AO9/5Tt71rndx+OGH87KXvQwpJccddxyf/exnueKKK7j00kv/4ErJuVyOn//85+RyOW699Vbe/va347ruH3RPzZOjZ/o1i4oOuukstDw6Cy2PzkLLo3PQsnhmuOCCCzjrrLP42c9+xsaNGxkaGnrcOS972cu49NJL+dWvfrXP/pe+9KV873vfI5vNtisAPxOsXbuWH/zgB5x++un893//N67r8oMf/ECv7uwHtNKv0Wg0Go1Gc4Cwdu1a/uqv/upJj1988cUceuihTExMkEgkOPTQQznuuOMYHBzcb3168YtfzI9+9CPOPPNMfvKTn/D5z3+ev/3bv91v7R2oaKVfs6joPMudhZZHZ6Hl0VloeXQOWhaLRywW46//+q9/5zn7Qx5nnHEGX/nKV/izP/szPvKRj3DGGWfwvOc97xlv50BG+/RrFhVdSr2z0PLoLLQ8Ogstj85By6Kz2F/yeOc738krXvEKXNflL/7iL3QcxzOMVvo1i4oOxuostDw6Cy2PzkLLo3PQsugs9pc8hBBceOGFmKbJ1VdfzV/+5V/+QWlBNfuilX6NRqPRaDQaTUdw7LHHtrMMXXTRRbz85S8nCIJnuVfPDbTSr1lULMvCsnQoSaeg5dFZaHl0FloenYOWRWexv+Vx/vnnc8YZZwCqKNgPf/jD/dbWgYRW+jWLiuu6OgdvB6Hl0VloeXQWWh6dg5ZFZ7G/5RGLxfif//kf3v3udwOq+q/mD0ebzZpFReda7iy0PDoLLY/OQsujc9Cy6CwWQx5SSu68807g8dWENU8PrfRrFhWdfaGz0PLoLLQ8Ogstj85By6KzWAx5fPKTn+Tuu+8G4KCDDtrv7R0IaKVfs6jo7AudhZZHZ6Hl0VloeXQOWhadxWLIY/v27e3/P//5z9/v7R0IaJ9+zaIihNDLtB2ElkdnoeXRWWh5dA5aFp3FYsjjxBNPBCCRSDA1NbVf2zpQ0Eq/ZlHRX9ydhZZHZ6Hl0VloeXQOWhadxWLI45xzzuGkk06iWq3ygQ98YL+2daCglX7NohIEgc6320FoeXQWWh6dhZZH56Bl0VkshjxM0+TrX/86Qgh+/vOfs2XLlv3a3oGAVvo1i4phGBiGfu06BS2PzkLLo7PQ8ugctCw6i8WSx7p16zj99NMB+NrXvrbf23uuowN5NYuKlPLZ7oLmUWh5dBZaHp2FlkfnoGXRWSyGPKSUfO1rX+P6668HYNmyZfu9zec6WunXLCr6i7uz0PLoLLQ8Ogstj85By6Kz2N/y8H2fM844gyuvvBKAl7/85bz//e/fr20eCGilX7Oo6FzLnYWWR2eh5dFZaHl0DloWncX+lseePXvaCv8JJ5zAz372M/0OPANoBznNouL7vs633EFoeXQWWh6dhZZH56Bl0Vnsb3msXLmST33qUwDccsstPPDAA/utrQMJrfRrNBqNRqPRaDqKD3/4w+0g3quvvvpZ7s1zA+3eo1lUOmF57mXps9V/5nMMLxlARvf9KARRW/3nMW6LRt1FeF54UnhKeK10wnv4Emkre9qsNNvH/Lgd3kNd76UcAOxSEzcbASDywF51fj5LZUMOgMTuirpubGahI3bYluMs7HNd8Oc7FXa80cRbvxQAa6ZCczADQCtrkdhTxfNbeOkIJKIAxHcW1HWzBa4c/zKaxaUTPh+aBbQ8Ogcti85iseRxyCGH8Ktf/Yrh4eFFae+5jlb6NYtKJyzPyjC3sAi/tGRMKePSMBDzx1z1bxBV5xgN1W8RBGAYiHpr4YZ2+OXnqWukKRCh8j1vCIhGC6vRQsyW2saGkUupY7Mlgq4lANQPX65uFTNIbRoN7xuOmWkqxf7R+/wG2KGB0nIX+hQ+h+ztwpostXfP9ys61cSPWVQzJk7Fw2oFNLM2zaE0AJG5Ii89/hPhWPjUh5Jq/2wLa0YZIVRq7Xa8lf1Y4wW137Hxk1GMhhojNx/HGS0CUDiql9ik6qfZ8Gh2K2PHaAY0um2C8BvJiwiyjyiDyUuYxHeXaPYlw4eA6ENqbIrPX0YjZ2C2lJHjJgRIEKHtE1iAAc2s+jv/UEBpuUGjW/2d3gVGS1JZpmTiFMF4lGhFAMKHep/6OzEi6fnFI8j+bmYPVzfNPlTB3DkKRmhEBhIpA4RpIgd61C7HQrg+rd44Iy8Mjb0y2FXw4iDDNVfPbWBXwR2KYjYW+uLFwWyB74DZUPse/Oxfotm/dML3lUahZdFZLJY83PA3LxKJLEp7z3W00q858JhXyMM/RSucuY/YIATC9ZGxUNlv+eG/6hwxOavOtSyIqi+h4DGrBH74t1V1kfMKfrEKgLe8j8BRGp6zbUxd35snMlFDeB6VdWp2P3XzTnWzR82muCt7AbC3jkAirnYGwcKsf7MZdsBvGxaisKDwEwQ4D1cgEcfrzwJQ7zYREqRtkdhdxU8oA8Jf2oc5PgdAa0UPsbGaeo6pAgRq5AovXEb2jgn1/7UxukfV+dIywIAg7mDUWngJC6NbGTjZ63dROVYZNvVem8BS/UyM+rgxgeGpeycmfYqr1Pj2XjsGtoWXUGOReGQOb7kai8icR3pzmfGTutSY1yWlVQKnoB45UoDyCkiqBRQaOQOnBE4JWmlwE0Bc4CibhOwjHo28iRdR/XKTkN3u0X13XYljco5gqAdjdJqu34TP25ND9nbBhCoTL2yb6vFriI3VMEtKQzenC5BOUu+xscuqLS8JQkJ0VlIdUO35JkRnwZoAGYrVTUB0Bswm1AbACH9r13/iXzAb0Hdni7n1Dolx9V43sgbSBARIodoAMJuSwBLYNQlS4juCWr8Ij9HuFwLMlqQcGkKNngC7aOClJFZV4CUDREu0+xddUYLbM2R2BRRWGxgeSFMZKgCtbg+jbiINSRD3sWctrKogfuwMxg/z6r06c5rm//aAAYVDXexki1yqRvWmHmV0DQQYdfW5cbs8REuQ2G1itqB0ZBNzwiG3GerdguoGl/R9Nl6C9ntgNpW8mzk1Ho0hFyR03WlT2BgQnTAQPjR6JYlhgR+B+qF10r8UzB7hY8SixPeYtDLg9bfI3eZQOqmGHI1htAQbn7+D+7cvAQNS9zn03VFnz+kxhq5tsfN1Js6siV2Bnntcdp4JkXSTwVyRvVN5LMfDuDtFvT9ABGCXDLyVdfyGRf+1FhMv9Om5xaTWI2gcUcfcHmPwhhZThzt4CUgcNUPu8wmc4QKzx/cxt0EwcJNLablN7x0lGr0x4veNgKU+P1fu/CIazR8LsVgMgEql8iz35LmBVvo1i0pHLNFKpRwZOaVwBM5jPgZSYtRaSMvAmHfPmQpda2LKDQbXVVsug3CVFjbvEuRMqi+nIGJjVsNp2dBAMOouRh0agwmMlf3qvHlXoIZHZC6crQ+V+iATxxhXhoa9QynY0vOYL34eZBPqvo92/RGi3R4td2EFwAlXBEyz7f4TK0giJR/TdHGzkbaRYxZr1DcOqHbLbtsVyRnzCfqUYRIfazF2ujrHqUgqh6nnMTxJPR+uopgQnfVp9EaQpiC1MyCxQ2nYjYEkZlPJopW1iU8pwyo2Wqe0LkmtP3we22L2aDU1L3zJ1AndZLcqJbyyxMYuOPjtSSBBK+fTykF6q0l1AKwqNPJguOAlILVLPbsfFdRXuaTvV+MiAghsQWCqZzA8Nbsem2hQW6rkYfTHSNw3qsbP90FKxMgkmAbuQSsA8GJqfIvrkiT3qHfLqTeYObabwITYtCRSDCgvNUFAKy0IQtFYZYGfhCBD230stzXAiwqkAXZZtJV4u6KU+iBiYDaVQWO4EmmAH76mgQFGeB+nDEhJYIJTluE9QmPDhlYmPK8ExdWCZj78nLQErS4fZ85UY1M38BPqWGSwinljBruq+tLKSnIPQWG9aBsR+U3hapcvaGUMqkslyS2SqaVpEqHRYf+yh0Y3tHIB6e4qyWiTic29GCmQpoTuJl5RvYNW0cQuC6orfeJ7TahYDBw+zt5cN9232jRmLMqrAhJ7Dbw4NLohMgP1AUn33TB5rERYEmevQ3mZ6ndtiU9ms4mX9ej6pWTyCAc5EyG7q0J2F+x5b4t6fwQh4ag1u9l671r8mo1TFRg+PHTbSozQ0EqOBJRWRglsSb3XJjYqiBTUO1gZsui9EYqvbOJJAxlAs+KQcIGUR+AK3FwL0wowpm0iRQ9pqPclMRawc72FN+Ayc7CDtCDziMTf28Xu02HN5Rb5K7eS3LuckZOj9G7yKGxMkb2/qL6rTAOaLY4+54vMHQTrPrcdohH8nizSMmhlHay6j1l1aXVFiY6UqKzNkrpvEncwi9HyMXeNM3vaavI3qpW2recNsu4/hiEaobo2T3x7AQx45G3ddD0gsSsBqfsm2PxXfWz4hy2MnHMQA9eXMfeM460apLo0Rua67ch6A+E4jP7pegZ/shtZq+EeshLDDTDv345ctZRgfIKfPPIFNJ3BYv2WL12q3FN37969KO0919FKv2ZR6YQlWhEPpyDnFfj5/fOz+Q2lJM+7+lCpIpJKuW67cMRj7euMWgs/G8dLhj77tfl/myAEMmojZorhPqWssiRJK6POi+1Sx2TUwq4pf462Mj8y1VbQZV0ZEKKni8rzlBJc7VdfvH2/KlM9WPmgJO4ZQabUM4qZ4oKyP0+1hhnO+pmJCDLwwZDqR72p5OPnEziFJpWlcdykOjdScCkfq4qjBJYgcATRgsR3wKrJdl+EB8kRNYbxrVMEmVBhHp9VrlHTBUjEkaag3qsUOTf+KGW27OBFID4R9rdSo5FT457Z5VPrM6guUbIrrhakd9r0bmowc1CUeh9KEUTN6EaK4IUGQaNHkt4u8GLh6osHiYdtRLjQE52TVPtMgjBMIjEWUOs1qA3ESN2qfnCKL1jBnrOWsew729RJgYRsGkplpewDjS4LuxrgxgVzG2K4SaidsYTkXoEXvnLdt88hZA7fERTWGBiuMjqsOUkzo14zK1y48WICL6oMg/RuJZ+5tSamq9x/ZjZaSqEHjDrUepWBI02wwtctUlJy8h1BbNqnsNpsuxSZLjS7lQLZSglKqyBwJGZT4McCDE8QCHBTAUZLYDbEvFcXEuWiVB2EuRNbRLdGcdWiDm4KolPKgCqtUEaAm4b4sMCLwdCvTKJz6iFnNkaIj0OzR1KtRCjPxXGqglbWV1q5Z0LCRxQtejZJ6l2C5lqXxKhBM28wMp4jtcXG8CR+MsDItAjG1Wc0iEgqa32sgsnMoUDaJbIrgpuSOAVB7mFBcZVBvQ9W/Zdk5D0tsj+38ZIG9li4BDS1hMEbJRPHCh78zVpIghnzQNj4EYhOCxBQXeeSGPVo5h3ioyZeRNK7yWXs7CaRm5PMHiqJTBskY01qLQdhgD0SQVpg2D7W3hixw8o4P8oxt1EyeYRFbC+Mn1UlcXOCZf/jsfelAuGDF4PonM/wKSZLrvHVKqRlYpWb9N1uEt82Q6Q7xfgLswxcL9V3QSqJ4UP3PTD1itUkRz3Mpo89VSE+XcbPJzCaLkbLwe1OkNhRJkjHaGVs4juryN48+dsmkaUSI98cICg1keUKQkriu0tsOTcPaZeNHx8lSMV5+D0pNt5SY/23qgjLwqrBzOEperbtwRovkBmbJVjah7F3AmJRcttciEYQ0QjTh0UZ/OleyGdh9yjSq3fE74dGsViy2LhxIwBXXXUVc3Nz5HK5RWn3uYpW+jWLipgPnn0W+eXs13n50g9AqEQbYZ+CeKgdRhYCcgFEOgXzyno4q48baorz7juGgRMaDfOuPEFXKvy7BqnQaKgoN5n4I6GbkB+0/fP9XLzdR2vnuPrPvMLfbLXdePzuFIntBQASj4SacquFUwgdwH1f/cA/yjAhmWg/L0FA6WC1yiEKNZydU1iGs7A6YJn4GXWt4Ss3EIBGziYxqu7hJi2aOdUfN2FQ61PnpHcFNDMGRjh2ODaN/vDZ+xNt9x0vZuDFDdxQAY9P+1QG1P1q/TbSUL75vddPUDx+Kam9aowaWZP0Lj/sg4FdhsmjlCbtpiAyR1uJ9yNqpl7OL3DUBbUBsMJVYquqFCe7pvrUSgmqS8AO9bzCGoPYJPgRQeGkFWTum6UyZNC1xWsPa+OIlThzDYxSmdjduyievAbDA6foMX2oep56v09kxiQ+GTC3Vmnakyd2Y7iSRpfACG9nV6CeU/2NTYYNGGC4EsNSinwrra6XFngW2J6KW3BKSguf3aj6LC0VizB/b+FL/LhaCaj1mtjVhVfDTUB0Whkdzawal1b4ETCaBl63h6goI0EayiAwmgI37xFUHZrHt0CCvTcKMnShCT8mjW6ITSvjIzqrnq3n3hYjL3KwqwI34VDrUwaNtMCsGfg4pLablA9tEn84gh8Fc0h9/vzdGebWQ2OJS2JzlHoPpLdDazqKlwS/JBApF2NPjFYaBm7xmHIsWtLEy3kYUR9Zt0gMw+wJLskHbKaPAKMJkVmwyy1836Dr5gny90TwIjZichZnVpDcWcL+fxVGbx2id5PPjIyBhNpyD2t9Df+h9IIvlZSk9/gMn+GTu8TDujuJHwe6mzAVo35rF431DaRn4KcD/AQYw1Eis1DamSW6RBlJVg3KB7eIPJzAt6G40sKqSuwq5F81QvT7MdZ9SyLmyrQ2LsXZMUmjN87sRhvoQviS7CMuolhR3wf1BtKArutHaa7uxqz7eHGL0sY8mVv20Ozppp5Pkv/FFibfsJG+/x2neuQSpCFUHJPvs+19S+m5p4fymKTnVgO5YhAxU6K2Ik3XvQY9t1aIX1pl8nN9bPjyHHMvXkVybwMjk6L/x4+o77IgYOakQRKjLrtfaZPdkqbvN6PKJXJqBhGP0UoBnk/QnUWUK2rCoAN+PzSKxZLFySefTE9PD1NTU9x99928+MUvXpR2n6volJ2aRUUI0Vlf3FJCtQatFpgCTIGoNNRWKCEKJfxMHH+gayGIFsDz1BaPQTymgoGFQDQ8ZDqOTMfVvaVERm2kbapZ4SBQW7UO1TrVDd1qWtcQSFNt1ugcGAYYBrLeUEvfuSwiGkVEo5iTJUSlgTRNRLmGKNdASqyZGtZMbaGPtfpCe74PiRgkYshcSs0exwRu2qT4/KXqOWp1tVXrGOUmRrmJ2ZLEx5rEx5q4SYGXsPASFkHEIL2tTHqbmmJ2imrLPFTAd2B2vYPZ8HF7klT7Lar9FrMbbMyGj9nwMVxJK2Eo5V6AFzWIzgVYDYldDWiloJWCiVP6qCwxcBNqk4YyRAxfIoWazc7s8Mns8ImPK6VUmmpzSih3lKbazAYEtprZNl1lJPhRpRgbnvp/fAxSI5LUiMRsQO7hGq2UQStlIEoVnKJEBFA7ZiUIQWWJzeQxacbfuI7xN67D8CR2Rbn9uAmlUGcfMrGqMHGscvOIFKCyDAJH+Y4HttpaKXCKgsi0UN/MoZJdXmpQXCNo5pTrUWAq3/DksKQ2qJRqN2HQzBg4RQgcZQgEpjJ8/Ai0UgbNDDS61CxxfCogPhXQ6FIz9VYNKoOCxpCHFwfDFURmleGFKxC+IDJrYFcEXq+L1+tiRHwoW0R2O2TucbBqqm0vpsbfTQeYTZh7nnodm1nwojB8ijo3Me6RGPcQPjR7AowWRCcF8RGT6pAke0eE6irle+/fl6FWjOGvrxKdVbZ2daVLendA4XkBbkIFOUsLpGeAAAQ0MyaNXp/UDoFVtBBCIiTMHOviDDv4EUFgBwQRycAtdVoZh+cNjrPndf3sPT2HqLeQvV20NtSpLk+y575BWtkAq+pTX9XCqoEzbVGbieMlJV03O0wfEsNNmtR6THAN6n0RvERoyE1F8Q6t4kdAGBLpC7CU+1JkWhBYYNYNkntluLIT4Aw7CE+5ppUOa+EUBfEpn90PDSBmS4hChaA3S20gotzNAokXBz9iMHyqTWGNTWNdHxOn9NHYOED+7iJ4HuPHRiiujlFc5TB5tMH0S5YT21Fg8lgJfT103V8F26aeN4mN1KDRRKYTxMcg+9vtDFwrSO9usvO1GYrHDrH7NZLs1jrC9al8oI9GzkBMzZHc28DePk5jVTeV41YgshmwLRKjLjveJFj77SJeFBqrutnxRmXAl56/gsEbG+B5GJOziEgETLOzfjsOcBbrt7zRaDAzo9xX169fv9/be66jZ/o1i0rHLM/O+yeE6TeDARUIaozPtvfJppo5N4uhIj2fJScIFtJ9mspuNqqh779lqAw9gIgoPxE/p7LOmA1XKfNAa5UKRE08PENtncrwEgldHfxelUHH2LpXrTKACtKd980P3ZKMqTmlzIP6sZ+Zg3Sq3TeZS7XbE/UWjaVZdV3LJ7WrQXl5lMQuNeXr9qWw5wOBARGuPkSmG7Qy6jmyW+uUl6u2nUqAMVlQ5xTTWDU1noWDs6TDWfl6bwSzGRCf8hGepJWxaebVvRrZUDFDuQpJU82QOuWA+O4Kc+tUX4WvXFiaGUFsJqDebTBzqHKjSe0UuEnl6gJqprqhhpLECDS6lOKv5KIUa6OllE/hKx93KWi7DokAkNDICmKzAXZVMPKieNtFZvT1K+i7vcL4CUqes+vW0H1/C6vmMXOQWqWxqj5e3GT64BiRWaUEu0mo90t675CAJLm3wfCL45hN2fapFwHYFUnTCGhloKkWYjDrqq/JPUqZbqUFZhMKa20aXUpZ98IFHS+mAlEJIDqjFHYvpoKAG13K1cmNgVOVzK0L31tXTU7bNUkrLcjfbREphAHBeYNGD8SGLWVgWeCmJMacjZ/0oW5itAyEVAp3clgyexA4pXD1yzUYuq7JntMj+BHovt9j6nALP6LiFNykydxaA7sGQcajLiyWPm+c8VsGVTCwAKNm0sqp/sS3OtSWmNgVCUKSedCh2qfc8Ho3+YycIqgsNbAmbRCSIKICl51Zk+IGH7tkInbFyDwimT61idmyCV4+y+ClWcpLBUbTwxSway6PcWIB89dZpOfhpZIEDQsvKnBKguNe/iCbbz8IcwZqgyqGIrHLQrgwt1GS3iGYOE7ScxfE9lhMHQ6twRbWZhtnVmBMJTBa4BsSs2RhtAQUY2RfMs7oRBZZsqkOmrhpyZq/eYiRTRuJTJnqfRp22jEnG/5jum3U73ptllWXjSO7MhTWOMTHoDJosvzKBs2cTXRPgeh2j+byLoKEw9Sxy0m8YIryLT0YLRi6zkX4ki3n5ln/7QqtwRS+Y2BNm0RKgcpOFY0gJmcZvGwChEFyTx1rskTPvX2kthYQQRZneIrNH+1m2Q8MiqsF3VaYzrjZJPqQSkAQZBIYlklgCzZ+oYjwfPpuryL8gFU/9BGpJHbZU4kOkgkVgFxvIMtu5/x+aBZNFjt27CAIAtLpNIODg4vS5nMZrfRrFpWOCOSFBaV/3j0nDJZFCKXcS7ng0/8oZbjNvNIfZrKhopRnESrZQV+uHVxrhi46fj6Ft1z5IzpToSFhCOI75/Zx85lfUZAADdV262CV8cYZnmvv41FfujI0CAS0jQLR9NQKBuANdWFVXayJIoVjVISsUwnaMzVe3MKeb18IGvP9nK233Xgi03Xik0p+gWW0XY8SIws5LqcPjdD1oPp7bp1DZqe6ZzNvYVWh2muS31yjmYm13Wrq3QKzGbpSBVDakCY6EwYaz/htjwkvohRMqxq6Y9lKoQWl3Bot5UMOStFGLGSQMTzwYwvpLq0aFA5xsWfVs5kNQWKEdj98R2US6rvTIzqiLAcZsTHGZ+m5O8zOVGggoxbmTIW+yRJISX1NN7MbTKqrlTxSW2wqh7SgYjJxvOr35LEx+m4NKC8xMMOhE4EaB08YNLMSIyKxaqIdlFs3odEbBs9OGwQO+BGJJUU7ABepXJgMV2WrsWoLY+OUoBl6n1R7BWYd7LpyhUrvaWHPNbErcSIF1e+Jo6Jkt/s08iatnMQuC5o9PtIOg3vrJpEZ5V5ltKC0NiA5Al7ex8tD+gGVpaiy1MGPBdgVg6nDLFoZiR8LGDkF8vea1Na3SD7gIEoW5FpM3jhI9Mg57J/l8GIQmQkz9qQkkTmoLYXKEoH0BZUVAdFJg8BWincQCxAlA+ELvISEQDD9Ag9nxEZGA2TVwGwIpIDk3VHqfZLBL8TZe6rBwM0uZrGOm8nS/aU40wc59GyqAoLy39Qx9mZJb6viR5Lc8uuDiXSBn3dJ5GtUx5K4SZPcFkkrNCAjswaGG5DdLmklDaxD6wSWHRp3KgbCtAJYWqU1HUO0BOMzGWLJJv7OKH4EVv93nRu9g4isrNByE8QmDNxMQGqnQWxHAemYVI9ZRvKWHfRu8mGuiDu0nGhBtt3mJo6K0nNvC/yA1pIckYf2UnzhKuLTPvUf9ZBuSlK7GwSWQeS+XWzcnWPHm3tZ9dWdyHwaTIPU/VMEy/owxmcJ+rvBMqj3xPCjBslyg8TuKqLeojJkkL6hSnTnIHvPajD0QwHxGPa2UTb/4zo2fnwn+D5GuQaVKjPP6yeVyTPz+hqr/3wUUkma67qpvmAp6c0lJl+xErMl6frFVohFEbbdOb8fmkWRRbPZ5LzzzgPgyCOP1Cs9zwBa6dcsKnK+aFSnMP8lMl9waz4VZrWm0nICNFuPvw7ULHqpvPB/wFumppqtXRPUDlNZB+IPqdScmAKr4mIWasq9BxYU92QCb1Ap2kYYSGwUHPweNevvPBBmLkgu+P3PUzl+JfEr7wagfNgG0nereIA9r1eZdZZdvoPyCjUdnDQFTlG1KS3RjluITNcXApvrDaLDyrG9uiZHK6WerbxKrTo0cgZWU+ImVVBv+q6xdrxBfzmOF64MDPxqjOpGNR61HjVDDTB+fJz4pKSZCf35J1V2GoDsfbNUV2ex6uDFwzGNqn/rXQa+rdyIaoMSsyXaM/mJMYmbVDP/AMJVKTGb2dCYkMp1Zr4PbhLMsoVVme8D1HsgtzWMoTAhMAU73yCADD23mvTcPK1kEdYcwBA0euMY1TD7T6WBFzeITdEO6g4cSGx2aGUgvUNdVuuH0nJBaljSSobZc6IqFafwJXZFudcglS98IwFeXPnRgzJglBKsFH4jfAWtmjJyDC9ctQhf7UaPMna8+IKvPYDVgNz2Bl7MxM1FKC81mTgmXEXZDYU1JpE5yOyEai80ekG4YaapusAuqdWSVlJl5pnbIDCjaoCdso3hSwprBeltAi8O1Y0t8rc6FDaE79NKkK6BCGDwehg5xaaZD4gISXGtpPteiM1AvUtg1dSzLlkzyYjbh1myCKIB9b4Aq2wiAh+jbuCmA+yyQWRGII4q0tqaoTngYpYs7LIgtUcq46gJQ9d6SEOQPHKG+EUzEIlgl9Tnq5VzMGstGkM5mr+KsuqhBpUVCbrummPm8CxWzSC6y6baTBIfNonOwPRhatzchIqLqHcbWDXltlUdTuHEBN33e8yut3C7XChEiOYaRMdM4mMAMeJnFoj/zGDb2xK4SYtlv3ap9SYprFPvdnq7oVZ/mi0olhn5+wSp5evIb2lBLkNhbRSnHNDMqXc9Ni3Zc47H6n9NghD4K/rJ3DkGEZtoTxJpGtjbx6HZIljSxyNvy7DmP0tgWyrlbrVJbW2exEOTNA5eQnTTTnBs3JUryNwxgjeQxxqbZeakJQz+fBQsC/PwIvGbMwR2ANUastnCKhvIRhN34xKEF2A9UMB0If1wierNWbb8w2o2/Ns48Z0Fii/uoXlclvSZI1QvH0T2dyEdC+E3O+/34wBmf8siCAKOPfZY7rvvPgA+8YlP7Nf2DhS00q9ZVDr2SzvMBUz1UT7xQYDs60JMhNPJoWI/rxzvky4zXBWwRmfbl8fv3Usw2I3K5Qe1AdVGwvUhqhRjI8zqA0rRUNeF09WWhVF/TLpNYQCh5hYaKIkdRUS/chcKLAjCzD3LLt/Rvncjr/oem7bawbS+JTDLyvgwZLi64Niq4nC9gd+TpZUysKsBviOoDqh7ZLe5uElTpTrsNTAOVVmDjJYEAZEZNZ1eX91FtS+cFW8sBNg6RfCiyrc8UgpwCj5TR4TpTstZvFgYrCqguMpqF+wSPu0A1MEbA0rLF2aaKktV4KMZ2lJIdb3ZUMqPm55P06n8+4UPsXGBFc785x+sMXJynLn1Rrut5d8fo+e6hVWa6tociTvLalUnEQcvwC612pmZ5k5ZSXp7lcpAktyWMDg4KZg7tkV8m8PsIeodSW9XOeHr3YJmmIgiNqECYI0pMIpgRlQKzUaXUvznk7Q6BWh2SQJHUh+QOHNq1r+VDYiNqVnvwBI4pbD99EINAlCGQaSojhkelJdGiE+4jB3v4KYksYkFd6PUcABSKa+JSYlTUeM9c4KLJ8FNmVh1lfkniAREd5pEp2OUV0maOYjMqSBlpyIpn9DAmIhi1STdm2Dy1Ba5ByP4wxaNbpg8yoBEC2ePQ/mRHEGfS2Cpd8KuKGFmdnnMNQeQh7agbJHZYlI5oU76uhjDZwQYhfn6GFDf2MBoOMhogHACNcNvQmLUxUuYZLY12PmaBEt/2yL6nRzlF2TVmLiSVsqg/xaXIGZjtBqUVwUM3elS7Y9T78kjRUBtqU90wiSx26SZUzUAgoSPUzLJ7PBxii6jJ8bwHRXDYVUNWimID1eJD8PDG2PEH3Fozlkkj56leneeyOFzTN84QPxIFVS86zUma/6rhRdzyG0JqPYZBAZEaxKvN4NVqRLMOfgOeHETrzeNFDD2AvWe2CVwU4LUjXFEq0BzIEbqtlFmXrKSrhtGsaerjL60h7w9RGTTdkTLQ7hCJR6Qknp/jFpvip7bZvH6MthzTXBsdp+9inpfwPRZOVZ9ssXD5y/BLgpyD8TZ+WeDrLpgmiBWRrg+QW8esXuU+JigdfQaItunmThtiN4HILPTw6g0Ka9UdSBoNKHeoOeeBNYjI4zE15IfayEti7EXZen70Wzn/n4cgOxvWRQKhbbCD7Bu3br92t6Bgg7k1Swqpml25hJtq9V2hdkHKZG9oYN1GLRLowmNJkahilEItVDLUtt8XnzbAtvCGJ1WdQFkQHy0Rny0hnB9RBBgzJWoHTxI7eBB6itzCDfAmWkiUwlkKgGepwL1ao9yL3LdhSDiag2qNZVVI5AQSLL3TGM0WsqYCIOBAQZ+souBn+wi+vA4Vs3DqnlEZlv4XSnc/kz7nqJWbz9LELOIzPlE5nzy9xSJFCWRoiQIXV8MT5Lf3CR51zDJu4aJ75zDjxjUBuPUhuLU+mxaaaUQxSd9nEqgYgE8ifDDWWep8sx3PeQjfDCbgUoHagkQgvRun+x2n9iUpLpk4UemlTQYuKaAF1EpORPDKnA1sNSMdrNL5Xxv5QIMFxUcq1zqiU9JIoWF4NlmBiaPipN7OCD3cMCKb+5k+Xd2QrOFTMaQyRjTR6ao9FuMvX4VY69fhbQtqNUx905BJAKRCF4Exp6fpLghYPJYycRpLZX+0zXwo+AUDOWOYimDxC5Lknsk0WnV78gcBDFBs0fQ6A6fJeXT6PeRpkSakiCiFHKjJbCLBsJTxpRdVm3YVYH9qBo2ZjPMuBOukFgNKK0UlFaqoGARqCJpZhMy29TKSWxGqtnilIEbF0TnlPvMfHC1UbAwXGVMVQeVe0982KQ2oIqHRaYFZgPsWkCjz6e8VCBnIsQmRDsDEIGgkYfqEqgv8dTKRNOgMTCfGUky+eIWbkKQ2dnEj6r4F/PUWVIPOBgtFfSa/a3K8mIlWhhDNXKbBfWBgO6uMmJvFHwBdZV5qOv54yBg6lATL2kTKYDhBoy9usXI6118R1BabiENQTNnUloVR3iSFf/rYxRrNE8uk97lYlUMCASxqdAgS/sYHgz9WgXY+hGD4qoo3pEVKitUjEZ8DJ73mq2k/32C8qoUZtRXgdYZnw1dU0SnIR+vIU0YePNOpAHZZUVmnxejOqBiLuy6Mnrzt4xhtDxqR66g93aDvlfsZeRPWnhxCyEh87B6xyIvmqGVVoHcGAZO2QOhZC8LRWorsirm495dNI9azehLu1n7L9uQ8QjWZapmSGCDGJ3ikTfFEL7P5CtXQQAb/nkPy/7dpNmbYO3lZZZc22D6Hz267wkQxSpTx6QwGi2a/QkwBENXbMW5azsEPr03T4MhiE42oFQms6rAyp+WkN1ZlRTBAH9FP4EFsXv3YIxPM/Tfuxg7Y6gzfzsOUPb3b3k+n+fP/uzP2n8ff/zx/OIXv9hv7R0oaKVfs6j4vt8RwVhXjn1p3x2+v4+P/DxiptieyW1nt5knVP4RQvm3z8cAgErp6XpqX6MJno9RbWJUm4hSFVGqIjNJYruLxHYXiUzUiEzUsIankXEHGXfU7L5jq7R1vXmC3ryKN5hflTDNdsXeoDdL0JuFUkVtUiK7MsiujLpHGPDnLVH5/a09U7hJi1bCoLzERsZjyHgsjC1QBoA9VSE2UiY2Uqa2PEl01ic66+MmTaoDaiuujiiXo2QcKjW8uErFGZtQ2X6shkqbaVd8fEfgO0IpraHRECn4uHGBGxdkdgR4MYNI0SdS9Kl3CWrdJrVuk+IaQWq3aGfmic75lNemyewMMHyo96og1kavpNEXYDYg/4BB/oEwYNWnndFlboNQbjejksSoxKpBdanETQjcROgTIwS0WojxacTUHM0M9P10GwP/rTZRb4JpEvTnCTIJgkyCZk6w5H8niY0bxMYN1n3ZhUAVszKbSgFHQGmDypCj3JGUD75dVdl+PEciwriC+Rl6e85UWWksaPT6+FGJnwgIbJXRxUssBOQG4W9wKyVopQQizEw0HxtQ61eKfnRG/RufcHHKAclR2W7DiwoMVxIpBe3qv820oLpUUl2qqvL68YDIrHqm+lIXP6qy08QmlRHgR6C03MCsGnhJ5VIjPJg9vcHs6Q3M2dD9yZIkdlkYLUAKhB0gTYkV9bCiHl5MrUZkThunuSxL5aGcCpwdEbSyqm+Gq8QlBCAhtbzIbDFJbEIQdLn0X2cQRAOmbu/HmanT9VBAdOs4tcEAoxUQeyhK7KEomQfn6Lm7RnTGIz7uUlhn0OyK4GwdZeebB2hUIkQnasTHIL2siFWXmHVI7DbxHYkfERSXWwhfUlwjSMab9N4hiE1LMrt8pj6xgrvuWMvoqzzEnhiBA0bVZMv31iNfMsfYzUNEZ+DB3YNEp0D8Io9TVuk5Z9eZ+BHo+8VOKFcwpovseiPtdLrGnpgq2PXaGfyIGpNCIY6X8lnyP+PgBRhNH3+wm5Vf34F7+Coisw2WffsRpO8T3TrB0E9HIBZl8oQc7rlp7JE5EmM+pJLYZYNWV5zs1jr1gQCkxIuZOFM1pg9PM7c2SvnubtK/fRiZSYCE0kFdxO7ehYjFkOF3q7eku53owJwoIvu6sH6UwyhUEdUGlCvYO1W+2q4HXMimKZ60ClIJSoc0OuK3Q6NYjN/yz3zmM+3/79q1i1e96lX8x3/8B+6jM+lpfi+00q/RPJpHzY4D+xoDoVIv82kV5OY4+27GE3yc5u/neYjpgipMFZ4vSgvJ0o1aUxXzcl1EU23UG2ozDbxMBC8TWagEbBgLfSuVMYYnqS1JLOwzDaSlttby7raBYO2ZwtozRe2QQeySi11yET7ImK3Sjj7KcAniDngBeAGJbQUS22bVNtxoz9hGZ1VaTrcnSfXIJcq9yILy8ihWXWLVJU5JUh2wQYDZktjVhW3qUJvYtEds2gOh3Cu8mIEXMzAbkBz3SI57xMfUfeeV59Jyi+qgQXVQFbaKzkJ6hyC9QxDfq1xevKjapKWCWYWrNlAKaHVIUB1S/ubxEbGwwhCNMHfSMlUUKJ8FwyA+te9SdtCVAkMwfGqG4ZdmafYnWPK9XUy+oLet/E4dkVTuO4GgttqlttoltVsSG7HwYwupOgMbWhmVujSISoKoxI8HVJf5WFX1fAiVsYa4j/AEkSlTufLYKrWom5QqPWdUGQ/NrDKOqkOhK9OUMgia+YBmPiA5EhAp+jgzNZppg9ik25aJU5GYLUlgC6r9grn14RiNCgJb4kcl0TGrbUAI1yC3JSA+EeDFVCrUVlYZGX4ywEuool5+FJwHY/hFh8CRZHYEdB08jdmAVkZCzEd6AsMVyOE4XsPGaEFqd4PWf/ZhzzVw82olwItC4qgZUntatDJgPpjAviehUmP+d5ZgKoKbAtkyqPcYBI5k1XenmT00TWTWZfKly4guqWCNF1j+vVHq/QHN/hSBo2pM7HiDRfd9Ps2cRWPDAG5K0nWjQ6srRmI8oFyMYVclGMoVJz6u3N9a6dCVTkClFqHwqipOSa1u7TndJsi4JDJ1Vc+gX72MxY0+tbpDdAoqSyWiYNPKQHZ7C6um0pEiYPDKCZCS8TesQ6biGFWTZhaipseKX9SIT0oaN3VRG1RudqYdkHrEpLEyz8yRGZpdEcxCFVlvYE9VMCcKAEy/doOazGg28ftz9NxRREzO8vD7B5jdYEKthreyjlVx2XNewJKrA2RXhrETHbxMhOwjDXruKrL62+OIbAbR9Oj/4VbMloRcRiVFEAYYgh2vi6nvQmFAucLYyTm67imy/ewBZMxhz9lrIRqhsiyBXXGpr8iRuXEXmz+Qx5pwnsYXuuaPmZ6ensf58r///e/nyiuvfJZ69MeP9unXLCodvzz7WMX90bP3IaISOoLPB/8+drbjCa5pY5r7BP+K+TSc8+0aBmKmSPXoZSSm5tS+Wh1nW125Fj1qhsNfprLwBDH1MY6N1pE9yklcVJs0e5Rvf3SsgsynVYGeMDjZLrtgCIRpEi0EGBNhW45DkFOxCm4uit8bVtP1JXZJuT+1sjbRuQUlWISPa9V8jJSSr10NiBTCIOGZBqXV6p7VAYPorCQ+ocYuOmsQmAt+5I186JddD7CakmYmrBw8n7DICWfFk6Lt61/vl3TdC1489HsvqyDe+X5JAxo9AV33qONWU5De4zGdVjdYcn0Ns1hj7BS1CkKzRXzcpbFEpcWJ3l+k+6bJdtD37EtW40UFqb1Rhq5TsjSHp5G5FI38QiXd+ToCkVkBszaxCRBS0spKopMqR78XU7q82YRmThL44UqDpRQ3L+PjhasPwhdQsRC+CuSdR1oQHxMqFakQ7amceX9yL6b+b7gQGzdCWbnKwMpEcSoBfszEqqt7VgZVsQNpQP5hn1qPycwR8ylcTeyyGmPfVqsItaULNamis1Bco1YD3LTErBhEpwW+o3LxAxAo2Yy9ugXbuohFQFoSYQaIooMfmc+IpWQ/+sIY8QkYPjWDPSuJT6pVGfGTLkTQwk2q8+2Kqnhc71Y1BmIT0OhWLlDZB032vKY77KOJF4fI1Wm2nK8iv2PjBtGdMyqmpdnCLg6SunuEvf+QYs3FLqndgtP+/Cbuet/hjB3vMPQjGy8umD3CI3ufRe+ddUoro2olyw9z8k8maeQhsAMmjzQJYj5WPMyyJWHJshmGd3djlk08EaG40Uc6AdFcg2AuRWG1Q2w6UMXNalIp5ok46V0uYy/uRmabeNMRHrp3Od1rBOXlKn4jMhsWO9uuPnOBqYzZaq+J0eoiFo8QRC3MuTKV41fSc+VOALyV/ZhbdsNQH+6GpSz/X5fqgM3469fCuKS0Go5cspWHVq9n7IQ8a78xrtJpzhYgHkemYjAygRAGUgYkNu3FW9HHzEm9ZHa1iD44wpEnbKPiONQPHiI6VmHwBzupHrUU4cPWs/P87St+wmVbz2D0JQED10TJ3jpCa+0AZsUg87Do/N+PA4jFksUFF1zAkiVL9nH1OeGEExal7ecieqZfs6h0invPkxIW1GoTjahtfsY+dPug2Xy8S9B8IawnYv6YEAv3mt8Xj7VdZNzV/bir+0ncvguZz6qtW21BJq6CiGNRiEYw5yqYcxXsHRPYOyYwx2aQloW0LGi1CBxB4Ahqy1LUlqVASvyupNqilvL1FgG+JSHiQMRBpmI0exM0exP4URNpC6StlE437RA4JhNHWzhlH6fsY1d86r0R6r0RfMcgOuMRnVFZUdykqVyBlsTb/hdWuLhR67OoDFo41YDIXJPIXJPApu3qU+8yEcHC39JUga2tDLgJgUSlPrQrkBgWVIZEuxBVo1sp0W5Kuf0ID1I7DFpp5R/eSkFlwCI6A/ktPtbuScR0AauhfN7xPCIP7iG6ZYzoljEKp6xSClcY6+CUfXqvHiG2u8CuM1LsOkNlNaqtypLd7pMc9pUSnwcEpHdJ0rsk8WmfuXWCxN6FtHPeqjqBpZ5D+AKjAUZTYjaUawyewKwbmHUDaUtlDAAYC+9obFLN5kfm1HPbZbWBUsy9sCByYKuxsGpQXGmrisgpCz8isKo+kTlPxVtIiJR8pIDpQ0xmDwmwKgZWxSA+ptyOIoUAaaqxtkomhdUGhdUGMnSxmU+N6keVa0+kqGQQxAKskkls1EBWlIuPVQcRCGIPRZFZd2FVIxYQm5VYdShsUHEY0UlBvVuQHPVpZmHqMIfYhEBIVVV4vqaC0YLiC+pEZgxSIz5uHNw01Na38OIGjS6oDYJdMlj660BlfWq28LriBKk4fXf4bD9niPTtDr4tiBQkv9y7EYAVP53Dixu0koKuOy0Kh3kEERMhVUxDaZWg0aXGAaHe12BdFUxJMBan9VAGowXTt/RjFUzMpgDXoGvFHLFhm+ZUnPiEMtJMV9KzqcLsQeAPdDHz/D6Kq21i0wGGFRCfhP71UwSmoOcen8SYKogmApV7PzUctGNwejaViG/azc435DDqLsXnL2f8WBMyKVXfI5AUTl/P1nOyVIciRLdNIQ1Y9dZt5DYLGl2CncU83fe3iE0Bc0VafSmwbYJ8Uin80ShyqBcRTi5YO8eZPTQgunOWnees5I57V0M8RmALxMgkSMneMz2aXT7xUcGnr3sVoycZbNwwTPauSYrHDOFsn2DJ1R7Vvg6q86JZtN9yIQTveMc7OPTQQwH48Ic/TE9Pz35v97mKnunXHLjMK/fzaTsNY8E3PxXmfpz34Z+fiX+0QTCv4D9qln6f/VIqH3lYSLXZch9/nue1c+/bblgYrDePmAwzAYVFvmR3pn2ev1xlzDFLDTXbBuAHuHnl7x+pNUlsmWH6xF6SI+HqgOe3swE5vlR+tEGT4uq+9hiIeovY9hlqa7swmqp/xZUOkVLo2mRYWDWYPshi+Q8naC7J4hQ9/KiB2QiwamFb0qHWp5S6Vtpoz9Qj1Ew9QLXfwK5Lxk6cL16mXEIAEmOBSrNZDs8dMNqKpF2TNPMCIxy+es9CHn4vJomPLawCCEfNts/P+jfyys0oOhcWoMoZhOXP6P3ZI5Sfv1LFTTwqqDt7xwQEAe5qtbJSGbQIrH68mEFuiySwoLWmn8SDk+0CapXXL28r8/NxAm7cJDatApvn6wu0hmPEx5QxE0QkgZRIITEtVXFY+AI/Nv+eSURT5aGX87alUPezyyoNqTSUa4/ZVEqj4RGmg1wYA7OpFHvDlTRzFs20wI0pWTW6BGYLfFuoQmljJjJ8X5N7JdUhVYQLlKy8+IIPf2QWSqtUUazEuMrqI2O+ivMIDQ8pFvrlTJtqpWBAYjQEtSEf6RoQDYjvsqkPwMzBYU2BkiA57hFMCyaPNCmsNhE+bb/+yKyKjbAqksljJMt+FTAejymDwlduOFYN7G0OkdkWiVGn3Z89rxAMXB+A6zJ+XJz+21TBN7muSu4qZcDOHCxwbsoz+zzovsenkRMUj2/Q/3MHEfeI7iwwdWh/u1Ca4Sp5uGll9Pgtk8z9Fq0M1Ad9ZCQgMm4jAoEzB8a6KrWGQ6PXJz1Ywt+iYhcCS9DKOAze6GOW6xRXp+jd5DP6QgNnq2ps9rY+zF4wPIOu22eIzqapDNqUltlESgHxvRW8eBo/ZlE/dgXpHZLKmgzJXVUmjk/CbAF3/RLsPdNk6in8SIbpQwXSUEXStv33WvrvrzB+fJLUZ1NIQzJwY1lNhqCKAIodIwjTRFZrzL5kBaldUewHduGvX8bGz+6lsWGA7gd8piwTrytJ4p4R5l66lti0RzJdozrr8Kq33cT//NeJKpXtj/toPc8mc/Nu/CXdxHfOYaxJozkw+fa3v819991HKpXir//6r5/t7vxRo2f6NYtKR2XvaUf/hczP3M8r/KaxcM78rPz8SsCjFf75Y4+d6TdNdQ/TWMjqAwt++fP3sm2IRSkdv2yha/WW6odhqDoBzRZISTDYjb+iH+EFCC+AWp2ZY3uYObYHPJU5xI8YBPEIQTxC111z7X3EY4iGi2iotqde1M/0C/pJjvnUV3cpg8Iy20aE4QYYbkBi0sdqSKyGxPBQ3xoG1FfmMLwAwwsQAUhT4KYcyivi+4xrbDpoZ84xXElqW5HUtiKJMR9pCBLjKlgRQTsmIFLw8SJh4K9UxaXmZ/LdhHJfCEy1CRn6lgeQ2S5w0+Bm1KaMjAXf+fJSE6sCzaxBM2vQ6BLs/dMV7VWV6HQLfJ/GoctpbBhg9LXLmX5BP7IrQzPv0Mw79N0wTb3HJDnSJDnSpOv2Geq9EWg0kZkEMpMgMCG/WZJ72KeZURmCDFdSfJ6H8KCwIaCwQY1beVVYS8ANXXgMQWAtGJfCV/7+BALpKBlISyItpVDaFWXYSEsptlZNFfKaz9lveKpegB9uhqcCQEsrbKx6QGbHgoETWKELVcXHbEmkubByUF4uaPQE7ToAhqsKhM1PzAc2WDVBaodBcY3AmRMYVVVZ1oupTbSEqkcQQGIUWnkVkCwkdN9l4KRaOKmWKrbWMNoxC2ZDXROZUX3NbvdJ7Q3ouj8IZ7hVTAOAVTEQnoo9UKtBHtV1Lk5BPdvoCxzikz7xSZ/YTIBww9oVEQe7BvZYkeyOgCWX2NiFFlNHKYPdbELu4RpBRFUVlq7B1OuUfz6ez+CNFVb9pMKaK2YwXFV1OLFHKKNbwKqzHlEF1gwQDQM3FeDHAuWOtitJa2cKu2BS2Z5Vnz9PGcax3QVEADvf1IubUelz7bL6DNhVSWtlg557XNK7m2AKzLqHFxOk96h4HT8ZYfyVLew900QnG0wdLZndaGKOTrPmP8vI/m7m1sfY/PFetp2dJrW7xdEnbyYy6zF9GBQPcdl+ZoL+m8o0czaRrWP4cZvp05bjbN5LeX0O9/BVSBkgunLKYByeQwgDEUhwXWY3OqTun6L/dg+j6TJzyjKmzmhiNnwMI8CPB/x2dB3LfjFL8KfTlFZFSW4aAd+nsCHJ7tf3IiPavaeTWKzf8unpad7//vcD8A//8A90dXXt9zafy+iZfs2i0lHLs8lw+nFeQZ3P0T8Xpk3pyS8o8faTFOoKgoWZ+/lnmzcaygs+9G3//0cbGo9ZaUjfsnvhPDvMy+/YVA9RRbYSD0wAUNvYS3zHXLsL6V1qCtxdmseuesytj2GEpWiFL4lONRaeL+xj9aBuorMBE+shuVcpn0QjKng3vM5ohkW8hK1+vFEzj/nNar9V87CKjfD8KGZRjV9lqIvW0jDHejVQAbphbYDM9jrTR2cB5SIyXzlUGkqJjIRDL3zZniE3PDVrOp+jH9TsshcP3VmKypUHVHYaaSxU5vUSyjCYv298yiexdY6R05V/d2xaUu8WiKLyh/GWpim8bCU9/7sdgJy5nNgDKqtJcrOani8d0k3fL/e2jThveR+x6RZEI/iZ+RgIKC8RxKbNdmXcxLhHZcTGTUPuwbBA1XI1S13vV5lyZBAo/3YpkJEAwmJYwhNKyQ/CSrwVtd+PSRp5pZQnhqGyPByfpkopaVdlOLuuxjI6G+DGBZFCQHTGxU1bFNYombeyakwz2yQzBzvYVTAbUrkqZVW6TYDZ5wl6NklVGMxbyDJkeGC6qrZAdFrFElhVA2nOZyMSVHMBUpg0uiBwJMIVSAvcwRa1ioN9b4LaEp9oIzTUIpLqyoD4sInRDJC2QXKvyjAUmVOfldmNDm4YwxEpgZ8IKK6yiY1Dz11VqktjJB42iJSkCtxO+wy/BDZ+ehhvSTd9t8aIb5th4uXLqJ5SQd4YoTJgMHjjHuqruqgNBPQ8LJk5XDIaixMfU8++9KcmpeUOmR0eRB3mNqrvE6cUI4hA9Z0FYv+dY+owB1n2KTSjBAkfs2zhJ3xE1EWYkuhchPKSOs69CZIjksqQwK6GqzY5CBIR3KRB930+U2+p4SaS+BFY9usGBJLGHTFKKyC3JUA0PWoDUeYO9+i9vYbZiGCPl2C2B4Rg5KQkhh+w/HtjNA4awiq7mE2X7NY6M4c7ZDcb7HiHYPeNGxh0fKyqILfZQgqBOT5LstFC1us4u2ZIB3lwHNI3bFcrmuEkRc/ts1BvsOv/rafZLVn+v8uIFCSbP9DL0LXQ7E0QKQUII8D+5BSle5cRLRjMpuNUzkggroW+vU28ZT3MHBJn9uCAtd+t0frwWGf9fhzgLIYsfN/nRS96EbVajec973l88IMf3O9tPtfRSr9mUemoMtr1ecfjxyjrvlIApRCQTSNKlYVzQ2VchsG4oi/0LazVF5T5SqidmubCqsATPff8vkf3w9k3Q4U31EV8ewEAd4kK0jVbAUFY3CvIJ9SMP2CErjXp3SaGNx80KdVzADIbLo/bJlZdHe960MePGQjLwOtJY4ZBylbdp5VVbUQKLl5MzejkbhtHxsI+jkzCkCoKZk0UVcwBKkNPMzevZKpUhvPuQeUVsXZ/an1m2w3HqoHVlJgNpSCOneioYEjU7CxSpf4EaORpGx6VIZN6rypEBErpDEylvIJSPJf/tkqzR00DF1Zb+E6eoV9NhxcImv3zDj5QHbTp+e0w/grlyhPbXYB4jNnjwuesS6JTTaqHDBAbU9p8K+cQf2icoCvdNnyK6yLk7zNphMW3ml3gxW26HvSZPsykOqSKSPlxiZ+QYAfgmSAF0g6Uz74vIFSYJaKt+AcRiQxtwiAa4AUGiTEVwOvFwlUDP5zhNwW1fuh6yA/HUqUljc2GM86+JL03dCkbERRWmyqLkakMhMqQEcpKue9E5sJMRgK67wtU0C/KDavepVK0JkfAjSslPLkHav1hAHUV7Glb+aqXVYVfaYT1GpB40bYYkBYk96oA1NJGDylUhWajJem5q8TE8Wni4+qdaubUakf2EZ9qv4nwlG99fBz2vjSBHwU362M2TbrvCyiuUu/y7MnLmFsnWP0f2xh/w1qSoz49PTMgkwQObP7EChL3eoiwroTRUM/azAiiUzB6okFmm4oPqXcrI3LyBR5911u46YBSKUbkNWWsm9IgYKKUwqiaRJaVadZtnKiHcWeKWh+IMOjWiwniE5J6j6o3kFxZRP7GpjxkMHRtibGWzfQRkp47YfiUKEZLfRZSj5SorE7jjJtMH2qw+j9bGBNzTL9gBd3zg+o4dG32cG51kXMFIsM2WAaMTuIU4jiF5cwe6dF1g8PMET7jb2my+h9LbPmrJCu/q9ICl1eliHUncMZKOLunod6gcuJqkg9N43clVUriWhN/aQ/yiDIrcwW8X/eTu69IZptNvT+KFzcoLTfpy5UpNaMk9hjET52i/useaoOS1C5BrdemmYnQ9WCdmWMszEoT8xM5xNUd9PtxgLMYv+Xf+973eOihhwA466yz9ErPM4BW+jWLSicp/TKnlL35vNFt//3Mvr6jslpDzFfEDavxitCfdZ+8/Y/ld2XxeTTz/uP5LBQXMvsABLaBEc6+m6FS3+yKUBlSmWViU0phi++YU/n5gej4NO66IXW9Y+DbBpE9hXZ/Wn3JdiaeZrcgtreKZXoYjRbSUV8JRt0jUlf3NsdmcMLnbS3N4wyHqwzdefykGo/Gyix2WZ3vVAJqvWFV3TAzjxcV2NUAsylpJcMZfDesthoSn1DPV+uzkcaC779dkdQGhPILl9DMS+Y2hFl9Gsq1xQmHLbu9RWG1A6HdlRiTjJycCO8v8R0oLTMoLesmu8Mndf8UzkxNFQYCGllB5fBBkg+qpYLami6iU3WmjlZ96b8RnMkKMwf3EJm1FsY+GmHbW9V7M3h9wKofe5j1JntPC6smD6tVh2q/STS0N4rrfayyqZR+1yCwJEHOQ9RMmFeAI0pmomJitARSgmip8fPjAaIlsKpCFc1yVVBzM68U7uJqiVUX2CVwSko29W6b8mpJM28SHzNJ7XUpL1PvdjMDrVCBjk9JGlljYZViDLJbXfa+1CK3zWfyKIvBG5u0UvOGYUBgmlSWqoxB88acF1f9gtB1KyppWWrW30sEJHeZtLKQyNUgV8P5SZZa3aSVJnQZg4FrDKoD4BQ9dp0RYeCmBD13KQGXVsexy2pVYG6tiX9cGWN7ktayJplHHKSpCrxNHWriO7QrLltVKKwVqoZAKonwVfapXdcvR/6JykKEhJ6769QGo3Q9OM3k8/Okd5g0M1BZFSANyeyJPvlbHJWj/+QakW1xJo8JU5TWLGp1C7tPEu+rYFs+/lAV3zdY1jdLoRFjbpWHVTCJzKk4FKsmSe1p0shHOeTInewtZRk/Pknl4BZTpTSZ69Q5xdWC9E6J2YLR17ls+OAMteNztFJdLPltE2fbGDgOZgO2v9FhyW8l46f2kdnpYpaayKUD7H1FlkaPZP2np/H78yz7ZY1H/jRCctzDfcQi93MHMT3B0M+zRPfO4OUTZO6dQs7MIgPlmihyWZKbRnjnb2/iW8cfwcRZG8ltaTJxTIT4b8DfFUUAlX9uMLIzycC1guz1uwms5fiBwfiuLlbf1WDHsi76xwL8mEF+c5OJYyPtInPCkIycmseeanTU78eBzv6WRaVSafvvn3322VxwwQX7tb0DBe3Tr1lUgiAgeKrK8H6mnTd/nkRcbe3js4jpWfB9ZL2hMlzM+7yHFXDb/CHPNO/yM1tQs/2GgT/QhT/QpYrgJGzwArykg5d0iMw06bpxjK4bx7DLrkq/WaosVAzOplW6SAH2XAN7TlW+DDJxgkyc4soIjR61ObMtlFMytAbS7dz+ftyi1RWl1RWFVEK5N1WqSuEP+1tb04UUAinmK+iigmQnG6R3+2p7YLbtb+8mDAJbEClJpfynoNYnqPUJqoOCVsqklTKRApLD0MgJGjlBZcho++9HZyAyI/bJUCN8wtSGARPHOG0f8/Qul+isjxdXymcrI4gUUX7bNZhdbzJ5cj/GxBxiusDsYVmW/GyM2FiN1mCG1mCG+NYpjIk51l5aZu2lZTK37gVUbMH4cXGMhkvx0G4KR3TTfQ903wN21cePmrhJq+2P7qbUMMcng4WqtFIVKguigZrptwNkC4h5SEsqJV8Vc24H9LZjGCSYNQOjqX54Gz0SN6XamVfUzabATakUl/Uem3qPzeTRKqXk4A1N/BhMHWHT6ILEhI/hg1OASDGg2q/cbuZjObJbXcaPt3HmBGYzILVLYlY9slvrZLfWKawxqQ5Cao+Sa2pY5ZevDagUpYETBmkH4McC6ks8SCjZSAGlQpxSIU51UGVq8hMB1SFVoKm03CA+Idl7apTsZqFSiB6aYPSFCebWC2pH1hEB9G1q0hxJEJ0SOLsjdN1dQBoqA9TKS/fiZtQKQmJUpXTNPCKJjQtaQ1l6b52b/xiw8qcl+m6vkdxmsefdAXiS8sY8VsGk57YCJ555D+kVBYymgTXuUFqp3Moi98dpLWmBKRGDdZLdNQzHx+txqc7EMQ2J27BwGxaT5STVWgQj5qlCaw4YRxQpvqbC2AlRAgvu2bKc0oN5rAak73Wo9UPs9eOkdjfg4LKqptwlWPLfFls/uJrUHpeJF/jYxQYyl6J6SB+pPS5rvt/EKXjqM7JrLlzh8Vn+vVGi00IZB1MFDDdg1Y88nLkWXQ+2mH2ezfhrV5F+YJogYmONF6BWR1gWzaPXwGAfMqaK8330P99M45g1pPeozFfveecvyD3cIHbfXsy6h/2FPCt+LAksgb+km9EXSypX9ULMZ+LoKN2b1Hvcc5/Hnpc5LL1yjtoAeDETc8am+8EWRkt2zG+HZv/+ll988cUMDQ0xPj7OypUr+dKXvoTxRHVwNL83eqZfs6h00gf3yrEv8fIlf7HgUjPv5hNmyJFhJh0x7/YDSFvNMItwVv0pK/uPzdjTvqFccPOZd8PJpzGn1eqDt1otzjf7E0SmlDY3n1M/6M0iTXXf1toBrIqavTdKdZzRIpTK7Rl/w7LaWVji0z71LvUcqb0eRqmGYXiQi+JlorgpS+Xc9wK1QjDvrpROqTGSkiAVJ7ZXOXPLqKPcKkKlafaYKOm96jnd3iTRWTWOzaxFrVc9o9mASDEMDAZqvYLyUtWneh/kNkuaaXVu4CxknmmlIYhAu1pBqEBPHWGQ3ql8/Vuht055uU10NiA+EQ61AfFJn9R9ym9o9JUD9F43QfFE5QhvtiQ0mph765igYj7C5zXGVSYlf0k3rVyUJf+1A4DqUcuUi8xDc+z8EyWrwLSx65K5dRbNLtXxVT9uYTR8Rk5OIMNvXcMHLxUgmgYyqt494UhEyUaklA+9UTeRhsRPquNGXRCEeeylAGfOoNnnY1aNBd96F5qGymYUmxDU+gAErbRS6gMHZp8XITYtiU+oe5WXmG3//GbGoJVR1ytLDvJ3l3FKeWLTqnhaZkcDP6wPYRcbCC90FYsI0rtVxibDBS+UhZtSCnZkVuCmTNy8R2TEwawrmbnVsNbElHIl6r1dkBxuUFkSwUtAcZWg1ePjTZu4oV1uV6E+IOnrKlGvxBh9foTILFTWemz83LSqZG3mlNF40hJaGSUL3zEQPjTyyrBxHh6heNIqzJZk5X/PsOXPM2z4jyJLf1xgSy5Ps0vQel0Rb0+Gbe/MMDa2nNJYivx69U7MziTJdavPa2MuSWBAJlXHMgLqVQcr4eIPxwn6BU7Uo9WwqJWjJNIN3LqN4QoafT6iGkFMRjCPLWLcnEGYEi8dkH+wSenvqzTu7GH8vj66l0Gz0qLrpnFkIoqbi9F7l0FstIJZzbLjjRlyWyTZh6uYUyVkIgpBwPAp3TilLLFHpqFaY/JVaxi4qUHQn8dNR/CjBtHRKkFCZd5KjEsiRZ8gEcEoVMEwkPU6IpnAcAP1HdhoEqwYYNV3RlUMk+Mwc/oavv6NteRTHnvPXUXXgwFjL/XI3G1TPMhj8pgEQ6smmRntp7+vQGFnL41A0Htng0febiHqki3vTUOyif13E6x7t83Otw4Q3dXkjFd+getu+DiaZ5/9+Vv+2c9+llJJfaYuuugiYvNV6DV/MFrp1ywq8tEpLzuBsFpuO4sOPL7Y1rxS3mgi5oN9f98ZjiBQKe7mn38+IPjRS6Rhak7R8tpFuCI7VfBoc2UXQVT1T6SVEWKUGzhzSiH3+rN4aeWCY7dCY8XM4CbDgFop8TJhHIApSO8IA3AbLWQigjQjWHNqX2FNltQe9XxBMoJwlDLu9iRx9iqDw83HCJzQ4Eir45UBk8SET2xa0kqGPwgDjsrdjvJXDsIhFoGakZYCnIqkNgBd96ljVl3gJgVORaWfjBRUvnlQSp5VU77j85ihh5WboN0WKHeS6cMMBm5yw+Mm0lg4ITorGTutDyd0Meq6eYLxV68gNqWePXPrXspHL2HkFNGeiey+bhRHCPwhFcvRyJukdjeZOr67/Wy5LTXGT0jQykjMmhqH7X9ig2mR2ryQllS4giARgCkxamoMfRlmPDEkMhUGUrsGRt1Ahor//D0DS2XXmXfxEeFr60chsyPAiwmQMKfSy7Pktyq1qjQFhTUG2Uc8ymHAdaQgKawT0AW5hyXRGbHPWG45N0NkUrnlFFZbmE2LgV+PK/kvyVIbknQ/6DO9zMHNQGRGGReBrcbSKpvKePMgNg5W3SI6DZWlgASraOJlfAJLuWrZlYDRE6NEZ1RsQmxaFdUKLNrPGdgQJHzqP+uj3guNJS5IEE5AkIjS6oljuuo9mz4CMg+HPvk5aAz4BJZJfrMKQLVragVm7MVd4PuIWhOZjKlYkUBS3JHFKRo0B13qD+QgHTC7M0fPqhn6e4tYpo/nm7xwzXbunRpkdXaG4UqGwDWJPhjDPqZIreEQuTlJ/NQZqg2HynScaK5BM4ChoVlGdnZjDNbpTVUYj2XI95Wo1CJMHZHE+X4MXlHBK0aYeKGAhsn4aQP03TiDs3UUezaLNAwGbpSkthXY/qYc+TsaUK3hLskxtzHG0PUtnKmaciGMOKrg3nQFUalTXztE9vZxqNbw1w6Sv3onmy9cxrKfw9RRGXreXMB4S4AQBjvOWUbXAwHbzx5k/UUNGj0xap9okv2nJWx/Q0yttJQhMtVErmuSf+EkqQ91U1ptYd9m0vX2PWzd20e8CeVreom8YBZ+kwchSDxi03Ovy96XWAz9ymTP23OYZ6Xou80l95fbeGiyH01nsL9+y8vlMhMTaqbmE5/4BK985Sv3SzsHKlrp1ywqHaf0h8q1zGcRhdC3P5zBEJHHlH1/JrIVhKsHTzjzP3/MryG7lM/+vJFgFVvUlqgpztSsUvRlzFHpNwFpG9izSvudD/IlDrHRcEUiFqW8NPS/Lgb40bBybhjw6/Yl2ko/Epo59dVgNiJYlXAFQgj8roVVD6egVkTcRIz+q9WXdHV9F/kHVZvFdUmlOM6vYBiC5Ihqr95ltIN9C+sF6R0LfuDCp10dtrxMVRmdz9xT6vJwinY7ULf3LpeJo5XianhgNBfOdSoB0jCYOEYdzz4iqfUIUtuU1m1XAnJ3zeFn1SxSY0We7LYWpeVqnCZPX07XAxXWfM/ArISFBjwPs1Bj9hil9Cf3tmh02fTcOk1iMgvA2IkJWmlYcq16X4ZPMdspS5thVKXhquw1+EJlsImG70FVEDgSww5UznpQBoAjoakKdHmJsGaCI/FTKlOP2VgoTDW3JgAMMjt9WkmD7nvV/onjbNI7JbEpj2bWoLDaJj4Z1ivIG2S3qUxG2ftmiU6nVBAzgB/QWJFn558G2GWb/BaPqcMtZDyMawkkTkEw9nyH3JaAQtIAQ2XwiU6b1PpVEHZsSin5fkz56rsJteIThK+r0QrjETwYPVmQeVhlAvIjSlE3wqJThgcItSphlkxVfdYEAoFZMQniPtWVKUrLTXW/LFhVQb1PBR+7SQPREvTf4TF8isn04X2svWgPUy9dBoEK2J0+aQDDhcbyMoHpYLiC5qALgcBLBpBQn9WWb7IiNYdj+ERNl4Zv8/yBneyu5Gn5JpmuCtV0nogAb0+C2CmzlCpRvEIEI+6RiLbwXJMV6VnGy32sWT/FbC1O9wvHKNWj9GQq2A87RGYaVAfT5F84ycTWbvpuU3EcYq5M4UUrGHupx8Z/GCaaiRDEbLylDRibxF+3FGfPLJX3Z8hutSltSJOtNaFUJvNIXbk35jI4RZ8gm2DX2wdxijBY72b9VysgBEYrhvEmVV+k8oI1rPyvabyuOEgLY3Sa3e8fYvBbXUQ/vYvUD1fRelGJwkQCN57AH5Y8WB3C/BObpb/xKK6yedeSG/ibHWfRc9oI1SsGmdqd5RXvuIs7LjoSw4PdrxGs+1YVo+7iP5Jjyal72dm1BPuvumm8Y8H9UvPssj9+y2+99dZ2td1oNMrrXve6Z7yNAx2t9GsWlU6NvhelysKs/2N5on3zPLbA1xMxnxrU81RsACDyWbVvfuXAMJD59MK9ggBRa+L1KuXfaLpEp5v7tClmS+3AYntM+XZ43SlEaEgY5SZBSilmZk20A2ilMCBrkNrrUl+u0svYwqDZr/qZHPfaM/VWsUkQFm7yEiYYSkOzyi0afUpZNryFugWJbbPtYGDhS3I3jzD14iUA9Nw0TeHwPKACbitD8xVZBU5ZMrshzPJSg0hB/d8pqrSc9TBJUnTYbudjj8zC+HF2O1DUj0BsSqU8BIhsVcHAfbcrK6CwLkF2u8eeV6pnXv6DCfB9rL3qeP3oJUSnm0hTPWMzA37ExHlEzWjjOPj9eUZOSREJ7UPhB6TvmWDqZJVWtZFXfvpLr26w/e1hvYP5NKRNo51dJ7tHUB9SgbhGy4CWiZ8MICaRfhiQYcxn4hGIllAVeQOQpiQybeIlpPIHN5XSWxugnfGoNiCRhipgNV8YzU2qWIpGl8XQ9S6tjKn89usSp6Ky7+S2eYi5Mo1DcrQyykJJPzDL5FEORlHSd3sde7ZGl50liIaGYc0jOgNdD9bZe2oMNy1xSqJtmPnxACENCFCz+jUlK2movnnJMGC7YKg6AQmITigXnMBRz1QdVPecTxtqNtQ9UrvUu+MmlPFkVQTNtKTarypOe3GJUxTtOAc3IUgNSwLbwE2o+JD4BOx++3JqS3z6bjZw7lcZeiorJM5YhPgUlJYFdN1mM3Osi0yHAevJFhu6pqh5NnGrxdZCD4aQDFcyrErP8PB4L4NdRcxDZhhIlgiOmiOQgmh2jp2xPIlIi1I9ylB3gaWxOXYdOoEXGKzIzFHxHMbu7Sd16ASx7TM0vuqT/WqS4964k5/d00v2vhmqq7Ng22Sv2cHU4WsgEsHZo1yODDOPME3MiQLU6qw+X9XmiAzH2fLnPaz+7xRWoa6+8+aKGEsySMvA8CCz02f7mWl671L1NUxXUjtiOfUei2q/oLC6m4GbKqz8Lmz7lz4OGxxm+t0JHNMn+cpxRoa76LndoPvXO2mt6Wf7mRHskmDnGwTP+8RuPrThzRiBYNfeHsQRkqFr4RfRQ4m8qkqr7JDY7DB5VJL3vf8nfPOfXsPOJd3kHwAQmN1txz7Ns8wz9Vt+44038sgjjyCE4EMf+hAAlmVx9dVXc/DBBz8jbWgW0Eq/ZlHpuDzL876CzeaTn/NY38VHz84/lQwG8xl+PK/tmtNO07lPhd/wXzt0m1mWb6e39EI3nei2ifaKgCxXKIcFveJj6n7lFTHiY8p1yOuNYTbm03m26LlX9aOwRhkKzZyFF7oCWXXwI2FQaN4kmM+6k4u203U28iaZR8K4gYZHMzOfQUcSZJXBUFqTJLVLaVhOOQDTpOe6MQrH9DN3VFfbTae4wlGzs0DfzXPMHZolt1UiDaj2q1lZUPn2vbiavXcT7DPrX1mqFMj56rZuUvnsm63QHSkuqPcIRk5Okn0kwK5JKkMW0dlwJaFao3bYEqYPUZ1a9qNxygf30HWfasAaVllN2is8rkt5dYJlV+xsi2znOSuRVoz+29U4pvYG7DrDorLcwZyZN2IEXtLAj0hyD6t9s4f5CCvAnnLUjD8oJT8IEK6BdASiqd4Dw1XVZj1TYlUX8vOrYODwePj6OmVlSIhAqOJOQxKzIdr3qXcL4hMBgWNgNlW7sbEaTtRC+BF2vQaed6fH5DHqmq57YcsHM2Q3QX5LgLN9AplLUc+b1PMpem6eJkhHaXTB7IYYme2SyRN9zKYVxhIo/HiAFzcQATS6JXZJVf5tpWkH0AK42QCrbBCbUoaem5KAwKoJ/OiCa48fATcNrZxPZrNJKyMRnkpbKlyD2gC0sgHOnNE2CmuDAX7UIDGisvNEZzzcI2xmeyXxUYPuOwymXtYglmjR85UYpQ0myVFJ6YQ65lyW4lpJJKsGujdTpula7C7lWJ+bJGE1afkmppDYps+y2Cw783n2jHQzNDBLgGBlcoYjk7v5woMvoVF1OGr9Xm6urGRDZpK6b1OqRwmigslyCu/OLGYU6q5N698Dzuy/n28cvISCGyNYVkeUa4wf28Wae6H0glUkhtX7ufuiHPKuDNnfqmfefGEfy78v8BIqleeqi3ew4TNViEWZetEA0UKW+N4ac+sd6r0O0RlI7KlgvNkkfVmDIBHBj9lYhQblpVkVAL1dMnFMkr5by7ilGDtvWU3jBRVMI2CmnCC52ab7t3sgHqO0Msr6bxYx9kzQPHQFtFr03wIgGT1VkNtikL5vgufdBzPH91J6TYXonENhveRfr3gt7kHQ/eso8qxppl7uM+TMoOkM/tDf8j179nD77bfz5je/Gdfd15j76U9/yvOf//w/6P6aJ0Yr/ZpFpePce+bTZT7WR//Riv5T8d9/ohn/+cJcj67e+9jiXo+aLfG6E/seqns0epSCnrh7WN2qL6eC6gB33QBmK/SZnlEuNQlLYIT7hFQzmgBB3MFoekjTIDqnjjtFj6aplNVGTxSnEu4vS+yK2m80fVp9auY7tbuJNRqm64zY7VlXaUJ5pTJmMvfNLjx+3G4XNWulDIQvsUO3nWZGUA4LSSXH0u2g3dqAUuzTO9V5bnzBAEjuUUrivE+8H5Ek9y7cJ7dFZQexKwFuwsCuSdJ3qvGePEIFribG1HMl7x1T42IL8ls8Sssspk7qo7xMsOKn6geoeMJSYhNNxt6yBoDeTQ2iMx6ttQOUVqrlBjclWfcfe6kcoQKmpw5xMKvKBaXVHebGj4NVMRG9Teq98w79IH01c22H7lN+UkBDgA+RyTB1qgutrFLwjZax4GcvQleXlgECGr1qvCJFA7MBrV4Pr2QROJLAkXTdIzBd5S5leAbpXS5za5WxU+1PkRr2mH2egVEHTJP1n1XFyWpHryCxxab3tjLC9Zl8+Qq67q8we5h6V3ruMJk8OolThMoy1bHIhIUXVdlxAKqDBo2+gEYPuOkAu2AgTaisWPhcCU/w/9n77zDLrqvMH//sE2/OlXPnIKmlVrRsybbkbJwxBmOiAeMhDMMwgMcMv4FhvsAAw4AZgm0wBkcchGVsS06yopVTt9S5uqsrh1t1870n7t8f+9xbpYCxCVIzrvU856m6556w9z7nnrPW2u96X6cUIAKBmw9oerqa0emyUEViVQCt0QC9oykYVM6lcshABAK9ruPmA7SOhjPuYp+3EMGmZgMCwn1N/I0kjQlJY9xECoitaLQvaVP8hMmaq9NaT3PuBz2yD+kU33QG68OjbFwNQb/LUFZRRq3WUhh6SC7RJowuynimgiFCHnpwFx9bznHp1By1fIzhZI1P7vga/3XlEj63fCkvHj9Nxuhw64euJdmGy3/xHL/70Csx7IDmuQzWaJOfffvnOdPp53htgNf2H+GPjtyAO+Sz0k6TfCCON17CKwTIpM3itYIwFjD81STNcoIDn1xi7UUDrL5hD3v+oklrKM7GD9bZ8ZNLSBly5j/vJ3tGkjvVYenqOOmjLYa+UMMfznP63RqDt0vid6UQTgO92mT2RycYvhOcArhTHfy5GMVjDtNvSbPvz6ucf3WW4VyVSieOjO7ZhTeOM/SRY+SPpzj7HoNsskDp3csQhMR+YoGma2M+1qeK7qWEWp0X/MIMx969H31tAd0ZIrnkYtZcsn+wwOv7HuHPf+bVzL4sC69n2y4A++e+yzudDu9617v4m7/5m2d8l81m+dKXvtSD+Gzbv75tO/3b9pya2S2WvVDsX4tr+NmO83RY0NPVeWEzi6zriCBiZYmcG+GHJB9WFJGtQwoikzi1JdMVSsyqR2vI7p1fhBI3HxUEh2Cvqey+NDZ5/xOLUcZ/TxKttqm0G0SFuUYr6LWhORrvce2LUNLZpXA2axdbFJ9UzrHuBJhlld1fub5E4cno+Ltt8oGib8mfaFPdEcO3BdXdKnPdZdWpTunEV7svEEXZaLQ2g4Mu1r/dD8kFSXV3JPy1Jkgt+PgRi4zUVbEwgFUPSJ6tsXFIQXnGPn6O2jXj2OsqCFh4/RjDX17pfWbcQAQwcruDl4szd4PNzo+uQsdlqKVgV6tXpEkuBcRXFFWlsbBB6Ruw+D3j1CejrPkySkBr6+SQDv6gAzUzylyD1tYQDQ0hwSlEQZorovtA62XutUBBs4w2OEXZY0giULUOoQ1uPuwFQp2SUMWvgeqPtaEa4iXBWJeYdajf0GTgv9awyipQ09frtPb3Y1Vhxwdm8ScHmL9eecpD3+wQxBR9q73aoroLqruT7Pq4ut7HfzrD3g9WkZrG2TenCWKS9LSCOPlxQbwcqjoGGdVqNDRCUzmGMuWjVdXzIHNG0BxWDELJeZXJr+1S6sR+UgNEL2OPADnUgVAQ+hpaW0crOfiaKnI2awInp2oDzAa0RtSg5Z/QMB5I0C7C0F2StUu06N4MaTTiLLxIEjtr4OzpYMV86lMWGwvDmBcZhIMOfQWV3beMAJ5Ik7tmiflTfQQ7NcbSFUbjFeK6y/Hze/j+G+/mdKuPRn2ETs7gPy8dxg91CnaLuh8jlBq1Kzv86hW38In5K/jpS+/kKyv7uHz3YwxZFb5Z3cmOxBod3+D3v/kqhkbWWT2XYLaaY/Sz59l40Rj7/2AZbzCD5gr2/s4ZvH1jXH/RSdY2DIoPqN/E2lVFDAfSn8ngXmxjnV0lvgLZaYe1S+KIAGbfMIBdUUXz+XwZITXS5wOe/OUSU58OGfqmg1F3aI6bZB+MUX1pm+xZnexpOP4fEoyOLWHqAa2OhbuUYPy+JquHkwjT5NzrUmS/KEku2jg7M1iPnCH24yH+pXn8N7tMfc5j7nWDOPlB6r8VkGpXmX3TMCPfqHHix5OY1RTeyUle3/cI5Xe6yOWnJka27fmzf+67/Od+7uee4vCPjIyQTCbZvXs3f/Inf8Lk5OS/Ugu37dls2+nftufU/G+Fj38+7LlsT/dcUm5m+LuzAGGIMa8cem9cYalFxyXsU06rVYmcUz9Q3NignH0gsexCXWX/O/sKpI+p4/jFFKFt4OYtAks5w+kjq71iXKmDH0FL7JYkVlbnCCwNN6seDUYnJH5SzSIEaWuT7aWqoDKguNmDtPI6+x6s0ZiMIEwSmqNqvRQQq0TiYEs6ukMP3uOmwWxFBaV5HbMhqexWDtnwXW1WL1UQLBEoR7IL8dB8CGyN9FxIu6BR3SnIn4i+8yRh3Owp/FavHVeCVbvUsay6ZOZN/eRPqfPGKkq4y56rRGMzgJ9PMHdDH4kI0l882mL5ygRBLPKwx4eo7NJwChJrQ42vlwY/76M3dKw11UE/HRJiKMXcdIhV1tHcCGsvoSuXIjXAVWqvWpSd7m4jdTAaojdmIlRBgF0Wiq8/Uu4lVFAtIcGqSmIbarDmX6qTO+OTv32eyso4+Ou0R9RJUut1rLLD6CfnwPNojsR6TERexqD4RICb0fGSKUZu91i72GTlcuV8xefh9Nsz7PxUkyAmyZwRW2A5SpvBaEY6A5aCYjXHQjWj4eikZrribep89oYq3vUTah9pSYKMT2hrGA3VeWlKLNsnHe/Q6Ni0fY3A09Cb6ni1yxziKYfgYpfgkRR2WVC6YYHq+eFopgM4L9E8CA41qFdT1A85GLaPsxyHdYv4qRj1a9qYQYdg2MOOG7RcFUx3PEnpmiXmzhfRPY1srE3RblC0Gqy4aeo7Ak42B1hqp5Flm5l0nk5gsC+zQsbo8PXZ3Vw3eobXH3icT8xfwd7sCtPtEt8zeISPnL2KlO3Q9ixObfRxsLjIucYwSyf6iG8IBv+nwcmfG2P8Vo8T7x6gcBSyl6xx4r272Pv7s5x63wHy2inyH1jlvvv3Yo42sO5JM3hvi5Vf7eDdO8bEx+apXT5E5rzi5F//1TYbJwuMfj1g5RoLP2uQnKkj7Djlgzb9D7UpH8qgdSC+GpL5pEVll86v/uLH+M0PvJ3F+gD2eB13Jc4fvfpv+Y/JH2DscwHz378Lex0qewRGRyd7yymEZVK9epTEksPuvwg5/0shU/9tjfr+PH5MUD2QY/j2On7aIjGnq3qOtsWnd13BmyceZnLPKvBf2bbn3/457/Jms8lf/uVfAvDFL36RG264AcuytkXXnkPbdvq3bduezf6loiPdqc9nowKNCnX/sX2E11VhbdM8pApEUw+qjH+4USG8dI/6PjqcUe306D5T0zXcQZWZ1tsqNWo0fYJIUTgoJAkjCs5QF3QftWbdx08a0fqoOBdInFMVq9Iy6PTZxCohzUGd1Lzfgw6ZFQd9RcF+Ki8YfUqXgoiZJTPdYf4lyuFOzUqsuqRTUPvblU3FWDulEdiC+Krad/nKeK/WwekDq6YwxaCciWYnwr37isKxNql61C6axNcM7KoapHZJJ3umQ21CtSF7VmkV9AIdW0d3Apr7itF4wMxrkyTnN4uIg1gC3YGVw5tYfb2jrkNXR8AphRjrBkFc4uZCEosaQUxAxsdYVoPhFgMKj+g0JlRNgtmA9kBI+qxGxxT4cejC/L2Ucvh7sz+B2kfzwE+qIMAuAwhaI0oEq7ZTkj4rSC75nH+FuqaxVUHi9DonfmmCPR8sM/vWMQBKj7vgerhFG2MmhEKOwBJM/r2CaR3/2QzZo7o6XxxGvlJh/DF1T1Sun2D41lXOvW2Ayp4k+ScEiVUfvWNQ3dMdD8U2VHpIUYXWplRfNEcgzZDqRSHJMyZOQZJYUIw0bjFEFlzYsJBmiBAodqOSqlvJJx2khEKiRSnZxCiFHD0/jNQkA6+fJfn+UTa+18XrGCSiIuqOZ+LHYOCBgIXrNBZfqGE2wG1YpGtgxT30x1JoMdh7/TSPJ8Yo5lrU1yWYIboWIiW0FlLEBlssrOQQoSCza4PlRpqc1eFUrY/+eIPLDp3l3rkJnIbN911/L43A5myjyIqTZr6Z4dLBeapenCdWB/neqUc50+rjyNoQd/s76E/XuawwzyPrI6zU05ytFdH6HIq5BsadRWq7Uvg5n7kbLHZ+qkn54iSVE0X0kRbEbPJfO8PJPxqDGcne355m5XW76OTh1Nttdv8OGOUVwmySzJ1nWHjbbkpVj+ZDRV772ge5/fwVlD6SoDEq2NgbJ3kUGoc7SC1O/8MOTt5G6tD5qTLVU0V+5a7v5dDrzvDYsQl2ldZ4fCPOL3zzbYiGQXypRXMwhR+Dkds94qfXWP6+A9jVkNzXT0Muy/RvJxj7PzqNfXkyT5SZfns/hWMhy9ek2fP9J7HemaN8dR+lIyGzKzuZviFBGAp+6jK27d+pbWxsIKXENE1e/epXP9/N+a60bad/255Tu1DZe/7Vrev0x2ObOP6tNJ1Px0MKobbTNIzZVQA6B4Yx2iF6JyAcVKw3WhDgJpUDnz7b6B03KCgYjeZ4vcJbo75ZnNzN9PtpC6Ou2hOrhARRskbvBPgRh70RFXgKKQkTylHVWm6P0Sc965N8UtHEeMM5goTBxg1jUb83M/peUqJHXXdzZk88KrEWYNZ8/Ijy0U0LFl+g/s9OS7zoqdQpKix3t3C3OS4xG6LXl9gaVPeG0VhoxJfpQUASayFSE1hVtWLlsEG8vMn8AyrY2NgT1UwsB9QmTcyIsz++os4fGur8nSKEbeX4Jhc2WYb8OBTvUm1YvkLHqmh4KaUlANDpDwktiagbhPGoZqKs0xgHo7lJU4pQtJREGgTdX8lWUbJNpV3FXtMNBNoDEftNXSnwBn0ecsbCyeukzneLeNXMz9TfOwTpOKNfVkGaWFojmBpi8RqDHbN5xHoN3ZHU9uZolzSyRyB/yuPsWwQjX9Y4+asJkg+qwEgLoPXKAawaNMYEehvqE4ZSpe1EInaeQNohnaJOEIPULHRKKvtvtM3o3pCYdUFzIsL7F1xkoEHOI5Z08V0D01I36mC2RsuzkBJius9yM81YuoL0Ncj6rDZTuN9XRwP2jC2zmFUBcOb/S1J9OfgJDQY77PgzyfS7BemkQ33Swi3HiV1W5/U7n+BL5/ZzyZ5Zji0O4DYgmW9h3KFYtHI3rtP32zGaIxZL1wic+wq4WUn/S6eZb2aouHFm1vPoWsjocJlHNkZZrqc51L/AXFMd40BqkdlOnhvHTmJqPqEUrK+lAIEQks8uHiKXayFuy+G82iGVatPxDPb+wmkeWxxm8q9slt5Zx5gt88I/OcZtH7+CvVct0KqBLOaZ+lPJwvUJ0HVKD1R69/vZ782x4w9nyH1eY/G3d9IcgeGbVugrjHLi83txXgetl1UIvlwkOy1JLHk0V206ecj/j/Oce3AnflzD/EofWQdKb12i5tr0j22w1EiTKTV59cST3Lm8E0hiNiVWHZavNDH/Q4yRn5mBMKRx7U6a/To7fmmeJ9/bz4HfmOP0H5TY9cuzeOMl3vnfv8T/+cCb6R91uORnH+eJ9UF+ZPxBPvjE5bRP5Nm2C8P+Oe/yRkO9s+LxOFLK7Qz/82AXjjzqtn1XWBAEFx6Dz1bTtGey9Xw7JuVTHfnucbYW7obhZoZ/qwrv1gef76tAIR7Dnqthz9Uw1ptoS+toS+uEwyX0jo/e8QniBkHcQHRc0AXoAmcwhRZI7LUOXjaGl40pmsSOxOhI3LSBPrOMPrOM5ktiKx1iKx3cnEloCbyUTmvQpDVoElga7cE47cE45cN5NF+i+RI3rdE82E/zYD9rhxJYM2uUbpujXVKFqc0BneaAoovsjoub0YmtS2Lrkvh8k+aIrUSXVnwyMz7JeUlyXmK0Qvx417lWWXDdk+iepPi4ynQ7WWgOQWouJHNKI3NKQ3eg/5EOheMuheOu4uC/ZwEvZeClDArHQqqTBn4S/CTUR3SspsLCBzHVZj+m4EPduoDkosRLqWy7VVOOd//DLvlTPvlTPrH1kNwZn/h8i/h8Swk5AeiSIKaWUFcYf6kpPLvR0HBLgSqwNSCxohYp1MyGtSGxqlLNHgQq4FAUpipACI2ogNdTf6WBEs0Vip5Sbwu0ikEQAy8usGqSkVtXkTrMvjxJfdzGmFnm1A/lOPVDOYLxQcoXp9j5wVnEchlsi5UrNFau0Bj8xipoMHeDgdbWWHitT+6OONoN62g3qJkAJw+ZmYD+hzyl4huTGKsmRl1DczRk2icxY9LY5RMa0CmpGZn0bIh/uIF/uEFyTuAUQ8KMjzPmkc230KyATK5FKd2kmGtwcHCJg4NL9MWb7Myt0Z9s0AkMQinQhERbN9GMgM4DBXRNwgNZZsoFXM+gNp9hY5+apVm7RJC7Pc7Z18fZ8WeS5nQWtxCQG62Sjnf4zJ1XsaNQpu7aXDY6j2a4WLqH8bIyTh6cewus/GqH1g9XSM8osTkx1uLu919BMdbi9HIfqZhLa0NBpxa+NE4u0ebx1SFmjg5T++IQn5+7mC+f3M9cK8+HnnwBJbuBEfN51cGjjGSrhBs26+dyGC8vsy+/TONEHvumHDO1PG7DIvee8+STbc79cYEjG0M0pgLObBSZ+YndTL+9xKkftnDyEoKAMG4y++oczak0O993CoAH7t/DzBsluz5SBsNg7kbByR9JsuNjK7i3FRn+1DRORnD+VSZ+XLDjTWeY/uhu6HMYuaNN9aBHdbfkzKNjvGzgBJVGnN/d/xleNn4CUwQ4Nw0w85oUVi0g1KGzp8PQb+qEA3mlc9EOSKwF4Hkkz5qs3ThO7osJ5t40hrlS53/e+kZ++Me+zMqlNnM/PkrrHwb4kyMvoX4qy+teeu93/mzetn8T++e8y/v7+7Ftm1qtxk033fRv1LJt+1a2nenftufULtjI/tvh2/9W9vT9nk18q2t+9KC0zGd+L0SPu18kI2D3RrXHxw+gN11EIPFy0br5FbwrFMOMm4l+0hKCeASfWXWwy5GgkybwpxRkKL7Uxg9CnJyN0X12e5LkgoJRdEoWtQmVzbE3JLHyJoazm4G2ahKZiMStSlA64lMfNXvbdDP9uhuQPK5qDToTeeIrKgMfm61QubREfF0dMDAF2XOqMa1+FTg0hyN2G1sFAqDgPE5OIzMbMeRYgsDezDy1+nRqrxnpnV8KxT6SPbUp+hVaiukGVKErUgUUEFGEpgWFY+r4zUFVbCwk1IfUGG8clMSWDbxro1kWT9FEJha0HibeKUhCNLRAOeWgxJ/8ZMjU5xxmXqOuseYKRr/hUR5TQYiuKUy+7kpCUxB2ALoiZwrz7sfVGHevRWhLjLLA7ZNIoTjpQRVx+zFILEFzSJAfKrLjs+oem3tFGqMFZ390DC8p2fOBFfxICfjYf8kRPwvBsMPIZ0z8hEknD5WlKHtuwuTnNli5Js/6NQHGMgRFn8Qp1fnWWABNg8AGramjdxTLUHpaEMQEsbtV7Ue7D2TOQ7cCNE3i+TqGGTCUqWFpAYYWYmnq3gulRsOzGUrUWGxl0ITkkfkR4jtqNBdTZKcl5QMm/j4HGtG0ji5Zf3EHUbYIsz4NzyLo91i6JkFohmgZl7jpKQiPgLprEzc9Zus50AQbq2m0uM3Q1ctsNBLUp3Nog23yVUn1Mg8cg/VrXfyNAoGvsVpOg5DMzZYwr2gyt5InmXQQ/Q7Fi8q0PYt0us3D58cIA8FNj18GIdwxuxPPM5B2CEKSsh0e+LtLOPymk2jXSmZqedL5FnvTyxz7xk4O3XCShm/xqqsf4/4PHCbzphWMvygy+xoICj5nfm4XA/f7tEZCQlMnfZ+OiMcIsx4H3jsHlkn9smEKRzT6Hqpx7JfzpJ8Af2qQ0tEO7/qZL/O3930P5U6C9cMe2fvjaE4dPQHxkybNXT5/+di1mDGfn37oHbxs6gRfOH2QcBIy01CbMGgPgGwbLF4XozUIUzcbxO47BUIgpWTir89y4pcm2ft7Z/EnBjj/+n7Gb/G4+bYbabwyYGOpgPOSOl7dRgQBV6Wm2bYLw76Td/n8/Dy/9mu/xtGjR3EieuzPf/7zvPnNb/63at62/SO2nenftm2DzYx7EHz7yrtRFlt6HtLzNrH78NSs/tPN0NXybN938f5hCLU61OpIGSpqUddFW62irVYRaxWMpofR9BDxGEbDw2h4JBbaJBbaNIdNzKqHWfUwFsqYi1XMxSpCgl5vo9fbeGkLL2VhdAJCQxAaAimgPWDTHrAx6wHJxZDkYkhi2SO22CC22MBP6ixfZbF8lUXxniWc0QzOaIbJf2hRmzSRBtSnlDMaK7tqWWzT2lWgtauAvdygMWrSGDXxiyk0T+IlBF5CICRUJ3Wqk0rFVgqV7TcbUVFrqBbdVZAbEUpEqDLpflyjPmpSHzXx0ptCTqCy9bmTIZ28oJMXlI4GdEpbxx3MdgSdcaA5qvbZ2K2zsVuntkOydimcfbPey/6bNcHQvZ3eIYbu8dhxk4ufUAFKYCshLVI+6WkNqUukLknNqOLbIK5jVsGsQvEIGE1P0Yye88lO+1gN5fCDCtb0joL1INWsgF1RAYBZF2qJqDDNDZ3meIjVUKJb519fRBrQ91CV8Y+cZeOiDJ0+m06fTd9jPunZkOG7HEa/7uMNZtj/e0tq+fV5xj9fwT4ZY+GtLmuXCPyYotcUvhLfkobi3teqJsl5MJdNQlNl8611HXSJ0VYiWsnrVtFcQW1PqGY1apJ2PzhDHtQNbNsjk2ozmKmxs38NAC2iK+oEJqHU6AQGlh5wplZktppDCEnM9sgnWxy66Bz7fvYJBvJ1hCaxki5W0sUutmHdYvzgInvf18ZPhwwNbtC42EHaIUHHYHG+QNszkXbIufP9nN/Is3S6RDrdJltqgBQsrWbxXIMw59OXa9B8Qw1hhFAzKdxj0WpbhI5OPOmgxwIQknjMRa7ZOJ5BLttksZIlZniMZyvoRsC+sSUOTs5jpV0O9i/jtUyMis6le8/j+gaNyRBNSB5dHAbgrTse4RuLuyletcy+9BJzN09yx02HGfjaIhv39zP/UsGB/7kIniA1A4m5JlZFIzUncfcOU3nBCCMj65x9Xx/+SJHUdI3s980xd2OG0bE1/AQsvChBYOscbY4gQri8OMuujwbULvHY8X9PgYS3/tA3wJAY03E4mmaiuM4XHr2E8ffpeH0erVfWyZ/02HvdNKKj4aYhcxZO/7Smkhma6Cme544L/I8atAdjJF6yysz3h+T/0wzWmk67JHjJxCl2/VVAZu8Gf3T2xm/v2bxtF4zdfffd7N27l7/+67/mwQcf7K0fHx9/Hlv13WtCXnDE6f+6dvnll/Pwww9z+PBhHnrooee7Od/1VqspDEQmk3meW7Jprx76me9sh+gnIyPRLWFHGcWY/RQ2nn+xdX+aprkZUHRFxFLJTYEvw4BQBSrehKo6FYFEuGqdXm0RFBTbSrf4FsA8u4IfOrg7BjD0TbB7lxZyY28c3VUfYusBdqQIXNuZoHC/wvQvv3Sgt03pziU6OxTee/WQhebDwP0qozzzqgRTf69A/WuHsyqzDtgVSXa6Q7tfnT+wN511JyOUox8llBqjytEFBXlpDUAuKuo1GwEIQauksv2N8U0l2r6HPdr9Bht7RbQtEYZeEluNnGpdCTZ5kVabFqnH9gIHobLrXSrNTh9ITWHRE5EKrpuG1qjKFpv1LYw8KDGtroVWiLWhmEnqU2r92K0+9XETbb1FvOxjGDEViJkCJ6fjZDcVbjslSXJOFfHqHXqzCrqjsv+dvkjFeEzNpqSPmbRGJYk5wdgnznHs18ZInlXj5BQV85AIoXnQYeArFq0+EbUTmqMhdllDHmwo2s1jKjvv5kJSZzXqewPQJNayQawMsVeu0v6KugcbkyGaI8idFFRuaCNDSD4cp77Hx6gYvTY7kw66FZBNtxlK1fCjQXN8g7jp9XjwAVKmiyFCQilY6yTo+CZSCgw9wBAhIrp5y011gyUsj6WlHKJmkJ6sUltPsntiiY2/HWPnT5zkgfv3EMZCRNLDjPnY30zxyh++l6986BpaA+DYqqBEi8XQci6GFeCuxcmc1BWU7XAbK+bTXo+DkOhxH6HB5MAaS7UMphFQrSR4y0WP8sWz+/nB3Q/yoSeuYbBQo3nTEGZTUn5Vh6FSBTvSzGh5Foun+th70SxL9TTV9ST7Jxc5MTfAb1x5M7esX0zLt9CE5PjndtM84GIuWOiuut/yJyTNfsHLfvg+bj5+Cbv/vxYn35PAPBVHGrDj42sc/5k841+UzLxB8l9eeAv/+8uvRXMEr33ZA3z1767CbED1mg6XTMxz8tadpF+4ylimwvGbd/PWd3yDnbbi2324OcmT1UFOL/Zz/c5TPLQ0RnUlRXzOpPTCRby/GWTfzz7B3d+4CKMNpccD0necZv6H9pI/4RG/7zRyUgU0596QJVaG4S8sUn6fQfWBPgbv9ahNmPzoz3+Bv/rdG2kNwKnfeQ/b9vzbt/Mul1Jy+eWX88gjj3DVVVfxzne+ky984QucOXOGz372s+zZs+e5au7/8/bt+rrb8J5te07tgizk1bRNJ73raHfbuYVHv/tZusqZkpEyrigVo220TfXd79S6gYTrIUqqaJeaEgLC99Wxu/8DtNqEpZxq/sIKhJHzu6gc69auIolT6v8wFe8p+sqoWDd2bkMx/oRgdAJE5JR6KRM/GbH7GJA902W30dDrqm+tgSS5qAg3thH2YCTNA3294/c96uLkjJ5o2OhtOq0x5TAWnmjSGlbetZcUbOxR/xePNlg/mKT4kGr36lU5kiuqv9UJA2moIAGgk1e87V1/sFPQKd29QuvFSslL7yj6R4CVK0yS85LiE2pfox2ydLWOVVGYbC1ylty0orsEpRPQKQjS8xHsyBJoy5LUrAq0zDNL6p4xDDr7ldNiVhzOvjmNnwwJbHWu4TsDGsOKzUZzI2faVIXC1cMug19W10XzJYVjbVwjxGgE6LqH8EP8tBW1Z8u0hdRwCqooVmqQXFL3qJAKhqS5qjg2fUwdu77Xp++bOlogOfar45gbGm4O/LEOycdi1Pf4JM4b0NZZfplL7ExUVH1W0tzn47dNbD2guZ5ARJoCRkOjvjvAKraRp1NKQbcfaitZ9KEoCNxVZvVsgdrLO8jFOMZIi/pBj+wjJo1ro4G2fFhKoA94CCHxpYYhQpqehakHdHyDmBEJyPkGq36SrNUhlAIv1Fley9BfrOMHOoYRUnNiaMie87+8lqHYX6O6VKJ2PsvQ7lVOHRshVRAc+9RexKjE7mvhNGxsy6c5JvnMkUthZ0jyvMbIfWpsZ94qYCVG/0VLrADamEutGtG/mj5eVScoeQRtg6nJFc4cH6YwUWF9JofV1+aR9RE6bYvPzV6CboRsNBM4L24Sj3kcyK/z+Kkx9JhPuGGTPalx2fedpubaxE0fq69GuZUkle7wx6dvYF9hRQU+CA6/+Qnuun8/4Y4Wxc/HaRcEIpA0Lnd4pDxK0NE5/h9y2Kd1gn1Nxv/CYO7VJawyzP1AG9ExWPayGHWNF7z8KDU/Rt/L5plIb/DAwhidwMBPwEuGTnGsNkj7UJu/fuQFjA6tc23fWSZja6w5KS7ev8i9v3kljRcLTEfNSrkfGaQxLsiZLfxMwO4/W8D4G49jV+9l9++d4OzP7iU5sp8Xvft+PnfkEELvIMIYU59cwPtPByi/u828FWfg8BLzTp7GDW2Mo12ltW17vu3beZfXajUee+wxQAUH73jHO/ipn/qpf+umbdu3sG14z7Y9p3ZBFvKG4Wbhra6rpQux6cJ+up+DENnuINsdRDKOSMZBE2pptf/5hcDReYRtQb2hlm5b0ilVEByx+6BpEURIU0s6BVmFK6fZgmaLxNEFgmKKoJjCz9qYa23MtTbWSgtrpaVgSXELGTMRbbeHDbdqHva6WjQPNC9A8wJii01aUzlaUzkSyxK3L4Hbl6A5pOHHBH5MEJgCvROid0KscguzGdDakQc/wEvrBKbaxlhrkLnnHJl7zlGbEGiBRAsUVCpz1kUrV9HKVdoDire/k9fJnPdJnad3jMSqJL4KsUpArBIQ6oLK4T6seojmS7LTIboj0R1J7lRIu0/gxdVS2alj1jeH3nCUs+8nwIuW0FAOemLRJbHoUrx7ifwd5zFqDkbNUcFgKgmGjtQFUhdUDqRILMHgNyE1I0jNCMoXGQp7H0D2tFr0lkZ8NURbN1l6UcjSi0KMpoeXMdHrDvpaFWO1RpAwsJbqxFYdUueavfb6SZXNdbIK4rSxV8fNaNQmdOJrIboLsWU1M+AnwF4yKF8qKV8ERlOLrisUb7NpDUuKDxloDox9SbD/d2pMfWoVqw6xso++ZpI+J4hZKjs/dBcM3QV+NqD4sI7bsPDyAa0h8KfaJDJtgkxAkAlYnc1j9beRZ5NIAelbUqCHtK9v9PrirCTQiw6+qxM3VTBdceJ0fBM/1NCExA103ECn7VnUOjHqro0vNfxAx4xFgbeQbLTjuJ5B07FI2S4p2+Xdl91BpZZAhLD3ollWHxkgeU6ndVmb1gAEBY/Bv4zR31+lPp9W1KZph4H7BPnTAU5G5+z3GMhUgDHWZO7EAEKTxE2PvaPLWCfi+PfmCdIBxrKFkfRZqmbAkFTrcaQd4lRinJkdIJdtMZCsc8ngIrlEG02X1FZSHHl8ksN7Z0g+HGf3wTkaL2gz+6GdJAyP+tf7OVBc5ur+GXYX13jXzju5/8sHeWxhGEOErDsJLrr0HEHHIL7qEdiw+qY2U38lMH6zwP7/VQU7xN/TUvUSaZ12v8QZ8sjeFcfKOHzkGy+i76olFloZltoZzs70c2XmLDHL5/rSaWJluOnkIc7csoOX7T7BlTtneOnAKRY7Wabbfdx9zwHONErEf26evX+2hj/gQfQ8yb94iXv++Er67teYf9MYR46P42cCFv+6D/OyCtWdENc9pKvTV6wz+ZkyJ37xAKd/1CB9d5ypq89TacX51NHDcCLe0xXZtuffvp13eTab5S//8i+xbZuvfvWrvP/973+OWrdt/5htZ/q3bdu6TnoysZldf7p4VlR8K30fYaqfjSjkn/LdM2YH/qXWPXc9cpIMYzPT3+6gLUffd4t8dW0TctRXJLQj3n1Lx+1XGTJ7sd7bX0gbEXqEyTi6ExVKmjpWpK6bimnIaIbBGUzSKUQ0jIFS4QUwG5KNfeqQ6XmJ0VLHcYuJnsKwN5Ql9cRqj8lIppN0LlZ8/pOf22D+RjWO+sI6cryv1+/UnKSySznf/Q8LYush8VV1jE7JojkoiFUinv5gE//u5ARWXeHZAeyKT3WHhdlWnxtjAntDQWFACUMZnQj2g2LpMVtgV0HztrAtGTqiFeF7TBMaTcLBEvFji+oyHBe0LhrCi2vE16NzV1UGvt0vqO6EoW/6aL5OarZDYziBFkT0qudXMWYFXtZW11jTsc4sIwsZ6lMJco+USZ1Tp26MpCkfVMq7XQiTm1EQncaIhh+PmH6i2QZ7XeABQSIkc1onsaLWt/oEsTVol6A9Gqh23a/uj8YVKaoHDfKPCjYu9bEeK5JYhcVXKcdc6CGNV7fQp1P4BR9tT4u46dM5kscCBY3a0yScTiE1SWpGY+OGNjg6g/ka86vqmkszRNdD4kkXUwuwtICM3cEPtaiAN6DlqxmLtmfQn2qwXE+TsBTsZyhbo9xMYhoBnq/TbtrIukl2h5qR+ebGDg6PzXF/c4qFapbLrjvJuhNn7XNjtPuhOFBj9h1JZDmNlnVpxQz25zdYKGRZenlA2A6wZyy8nMAtxxASXjpxilsevgQmyvRfv0AQaniVNGHWZbxvnaZrEwQaMdvDfyJBe5eLEfOoPlmgs8tgKFtjfrEATZ2XX3mU2+64hKF4lc7r1QVOJjtkf3CN43ftwHxBlSszZ3myNczD02O4gc5LX/Mwt9x/CGvM59j8OEgYGV6n/Ysa8U/0YaU6TP9QmljGx50pgeESrsTo27NGaMRJzQoGPt3hRR+8i7PtIvc/eAnBvf1c957b+dCjL+DNhx/mgdoUv7LnVv6hfIj3/PQn+LUH3sC73nELntQJ6We6VaJkNTicmiF+o8eQVWHeybP6NymcX81SvghWrpTIpTzZtODKH36M0//tAJpnUrnYp/VogR1/t47zh3P83devZdfNDmZZZ/m6AhuX+oyMrrHjQJkjf3uQn/m5m9nwk8xP2AThBThTvG3f0m644Qb6+/uZnZ3llltu4Rd+4Ree7yZ9V9u2079tz6kZxgV4y3Ux+bX6M1l4urCbyJEX2TR0Ik/r6VCeLjToH8PzfytGn29l3f2eRgsqGyr7K8JN5190sf8dpwf1Mbt9SMZ6yrlGuQqOiwh9ZMlCi2A4wXCu1z6jFVCfUGMTX/UxIqdZBLIH4xEBjH9FOYJeUsdPRAFRKNEddRzzzBKYBv5oqdfe0FJ92rg4R3JJbXf2xyYY/UYbMgoGZDYk6YhnvjWgM/CFmV5AZa7naIwUaAxHDEVV2eO81zywqj6rhxQ0ZuyBVcx9I3Ry6lhWTWXIuw6zXYkYc6ISiURLUZyKANysGs/QzGGWm0hTj87hQcwmyNhsHFIaBfUxQXwFgiiYSCyHtAc16lMhiUV17sawQbsP7Krd0x9w0xCMFNFnllUg5ktFgu95BOkY7ZJAHFKQL6mpYmcRQn1XQHw+CsSiGgQ/iao/SCkWIYDWcMQGc04nMxOwvn8TvmWvQ+3qDrGTMeo7QubftgOA0U/4nH+NoLZDojd0YmtQv9hThauAbgZ0NmKMHlpmcS1LzPKorqUgG92LGQ9ZtdFH2xhn49R3BrBuoxUcKq04ekQXFZi6KrrVAzQhaXjqmnmhTt5uE0pBTPfZcOKUkk2cwCBm+qxupEmn2zQ6KWKWT7NjkU10SNouFMAPNDqeSSfW5keH72G5nWLhoWFO7Je4nkHxtUvgWFTr6mKZMzE0Dzr9ATPreZxr2+DqoGt0xgLsqk1ogSw5HN0YwtgwWG73UdxdZnU1QzLbiWYl1E3ouzpNXyPc7SAdnUDXCQs+8nwa/ytJxCs0wnjIbWd2A3CmXmL2yxO0hkNkLKB9NM/kC86TMl2+Vt7P3F/uJP76GkeOjbM0lubyQ9Pcf+tBLnvZKY6v9tP+7CD575sl9c5pZj+yk6E3L5MwXc6eT5E4YTP+DxucfXM/U8fWqP+ITnMhy5cWDrB0oo9ECCtXwxd+9yWIw1D3Y7w4d4L/+uCb+NsXfJCH25MMFGt87I9fhVULWbwh4OWHnuRFmZP8n+mX8YaRx/n62j76Yg2m4mVq/+M8M/fsQuoSK+5hNi3u+9ghcrZP+IoNEvfmaU75HP+ZDMaDBd7wivu4deVqvHSM4uEVWMjzPSNH+MJ/u4Gf+J+f53NLh6h+YJzylIfTH8D1bNsFYN/uu9xxHGZnlbjkiRMn/i2btG3fhl2AHti2/b9snuc93014prlbuPRjUQAQOfZd/H43u4/nq4x+EIAVyc12i2u3OvPPRgH6zy3u3Vpv0D2elIjuzEJXC2DLDEM40gdRpl2LstOi7SKzm9SfWCZhEKKV6/iDyiHXOgEiyvoHtoZdVedu9RuYrQgT70isJVXElfNSNEfUMWPrHvWxSBl43sM6o4r9yKSg0VKiY0IQFrNUdqrxjJclUld9Gvqmy8rlcYpHVb8yT6wjqirzLEs5vKl+zLOqalaUqwx/SV2b1q4C7ZLRa2u7pLNy2MKInPj1Fw7THoB41ByiS9PF77eGIDlHr1C2cNyjNmmSWA5ws6otseWWgkFtqLFsXDFG6qE5apMxOvkomKiiAJPR8eujGkJC6WFBIyKq0Dx13la/3hMKMxw1ywEQConwHFXCoevoGy3cdAKr2q0HUAw6UgNrTe8VOXupzTqGwIZQ13AzgKZoRglVDcTSVTpBQo2T5goKT0qGf22V0+8aY+pzSukVILGiE18QtHc7SFfDbJgYawbhaBdOA8lii3rHJvR0RjNV8vE2s4+q+obCjhobdTWgzpCHZgfoZkDg6tRrcfqK6rrWNEki5pKJdej4JkJIglBD10LWOwm8aCYkkAJTCwhCjZXFHGbKpVpJkM83qVQS5HItTD3A0n1W6grq5vk6x2cH+e36q6hV4+y+eoaLc4t8dW4PtVsGib1slWrHhEAwfIdL6xeqZIDmN/qwdVXoLdo+oS3xBzxEzUCs2Mz5Rcj56FkXQw8RuiR+c4bW62rMn4nkm5M+MtDIFhqkbJel9QzmuRhuKWB9j4FZB1cDYyFB36MB84sTtMdD9LZAtAyChMQPNY4tD+DMJym9dY2JZJNj9RijmSrLv7+Dfb94hoFYDWvA58TrfM49PEpoSfbeU2bmlXGqDwxQun6VlTNFTv5KjFRqg/AfbGrnk7zzf3yJP/rSazhw+TmOO5Nog21WXqWTybZ4ee4JVv0077rkTma9IidaQxwsLDH+M0/y+dmL0MppHlkdYTy2zur9g9x5fYsjRyeY3LOEpfmsd+Ik91ZI2i7ig320fmSD0f/kMvO/4ohQI3XdKtf3zfLa/GP8pwe/j52xFdpDIT9xw218+k9vZOqUy7UvPc2nf+IyLo7NcfHEHL/zwJsJmymWXn6BQUO/i+0fe5c3Gg0ee+wxHn74Yb74xS/yla98pffd2972tueqedv2j9i2079tz6ldkDz9XQc9keg58DJ6oMmIIUeUlDPTy/IHKhMLPNOZ3+qcPz27v7Vo+FvZs2339LGLoDcygvwIH8Io+z/3I7sY/6TKrnThP0EqhrGuvpfFrGpnIBGOjzGvOPSDvlwvePCTes+BbfcJzJnoQyBpTUXQJl1gV6IgwdIIIwfe3HAgqbKo7mAGcz2aAWh2qO3PMPCAghDptTaVi9WxzLqL2bBY368cz6FljdYhBQOqTplkpz3kTlWo2ylZOJnIETYEdj0ksKPg4a4mtZ0JNF+1tzaukTshcbKbfP9om8w6IlSfuw702sUmqfmwh+sHCG0DzXGRBcVUkXpoDjwPoy0Z+cSZaCx03F2DrFyu+u0UIT0DpQfW6RRVsXfhWIu5GxJQg5FPnFb7GQarr5ggsAWlTz+x2ZAgYOVFJaw6eKnuLIUksBWUxxn0MSrKKdY7qijZyaldpR7N7uiQmNdoTvnEy4LmCMRWVMcnbl5HdDxOv2sMKaBTMnoFyIlll6UbNWjrDN6pYzYD/KROPQqKvZzXK5ZNZNo8eX6IRNph5FIFdTp/egC7r4XXMRC+wMz49GUbrNZSBL5GuZqkkGmi6yGGFtLyLGKGhxfqKmPuG2hC4viqfynb7THy2NkOTjUGusTxDDLZNq2ORaWSwLACihl1j280EiAV7WdYszhrFzlxbggE5G5Yp9JIEE936DQtFq+NIR/sw09JzCQ4xci5DEFmA0RokTqnUdvvYy1aeLmAcDVGbmiFajJGpxhjorDBDBCzfOKmx3h6g0cXR1i/v0AwHKDtacJKHF5cwavF0FZt0jOS+RsEWqlNKuHgHM0pStahDm5g4PsaMuep+oipgNx9NqezJa54zxPcfvfFPGaF7Ny/wMaZPLLfRVuzMP9vlc7MMFpBIm7ro7QmaQ7Hcaw4p344ZOeBef7ib15LPFD1E9pEixdNnuHo2hC/vOdWbt24GA1J2U0S5AT7kwu878mXkJ7q8NLhU5gjAQnd5d71KRKXrrPcTEPK59x8ibjpcW3pLPdrE0w/OEa2KKjV4gy1qrzn4O387//zNjoWXPSue/m5r/0QQ7dpLO7LcdUVp7gscY4P7gvxbYtzXonyaoYjU6PENI+T7+rnLS/4Op86fhnbdmHY1nf5wsICS0tLvP/97+eDH/zgM7D+ExMTvOMd7+A3fuM3nutmbtvTbNvp37bn1C5I9p6uc+04yG7WPsrwa10mnadDebrFvc92HE3bgvPvOsrRd/nUJka/a8/m4HeLi5/t+FtMul5PxCss5dDWKgCM/+20cuxRWXEA3fXwB3MAGEsV3PECQWCh111oR9nftoOMmHmsio+XVtcrvip7IlCdokFyQc0u6B2f9oAKKtyMhhPFAkHCwOmLcNuGQGrKYVt9WYHUYohTUI790qsS7PyreQBWXjZC4ckWWieaXVmrkIj6E1oTLL3AJLaq4DbxctibeRChxGwEuBnV1uZoHLdL9wlYdbBrIWYrYhka1EBswnk0T8F9jAhuY1VVIGA4ITgKUtMYj5Mw+9GjmgXdMsHzyDyxjizkECtlkEqxuBtMpM9B8WgLaRmUHlfjFZoaVgUGPne6F2wGQ0WkLpTDLrZMFQjlyLf7lBgZQHWPohk1GxDs9BDlCE6SCTFqGkZb1SR0aVetdUFgQWzBIDAlmWlB/pQaGK+QwDq1iBQw/lWHpavs3rmbQxaJ04JOvyQ177B6SIkrCT8KtDwNEtBu2uhmwNjQOqYWUG6p61wc32BtIYuR8kicM8hPNdhoxnFrNsKK6GVDnXxSBX9SCqQUOJ6BEJC2VebfjmBAS+UsdsylVYuhWyHJQovmcpImMYQmkS2D3EiN5uMFKvs2fydCUwW1Rk3HSxlYsxaxMnSuU/eR7+sMD1RY2OjHHmkiplMKQmKF0fUKoW5CTFK/xFWzFeMedszHP5vi1DcnsfZWaY6FnHh4gt2Xnadgt7j3zBQbzTja/Rmcy5pM/aXJzGvjkPFpncoS5n2s0RZVJ0l6okIm3lEBzJVLzC/lSaYd1u4d5NCNpzj2D7vxLmvSvHmQ1ksbeLUYt09fDBKm9i2SMDzeeN0D3LG4k7JM0wkM7ISHva/F4RfPcdv9FzF0tyT1U3NKvVhISjcu0Bdv8trS43zUuIq3lh7g5Xl17UZjG0zZq8w4JWLC51hzGM/TmYyt4YQmt6/tpj9eJ2F4jGUqnP7KDvSMxM/7uIHOveVJQik4cPVZzqzvQMzHQAg++ItvQby7TMZy+cLKxezevcDKkXHuWZsiZbrc39yJOdSicIvNo81xXnbgGO/71OsoXbPEpdec5mvL+/j5S29n2y4M03WdIAj4/d//fX7lV36FcMv7aWRkhEsvvZQXvehFvOENb2Dfvn0XZsLvu9C2nf5te07tgmPuYQvffj6LMA3kegWRi6RZu0WykUpur5C2y+oDz8T92/am09/dJhKiIQyfyr+/Zf9n2LPNCHTPFUF6RDqlCnwBMbuIv28CAP2Js9BqI3eNbUKTmi20ZhQg5JKq0NYP0GotgpJy0N18rHeO+PQ64Q4V9MQqAhHRguoOWEsKntGezKJ3VDvtUGLVuhzvOn6kCCxCKF+kAon0XEirXyM5rxzPyX9oI1NqjFPzHsa5Lgbnqaa5IVZF7zm/nYJGdloFB35Cx0vquCl1PrMto2LWzbqD2oTeo/s0u6JX3VIJoWg7u3Agux6iu7LXr1AXCEsHIfCz6jpqTQtRbyhnf8u1MRY2EGEEa8nBwnUJ3CwkIiVhqcPIp889pT5DX9mg/+t15t44zOzbpwBINmP0377M0KdPPXMw8lnOvbUfcT6ONKI+VTT8pOqXVQPdUX2v7ffIHDNx8lDdpSA+iRV1PzSGdYbKGaw6bOyxae70KDyo7smlF3sYKQ/9bIKzb7ARA23iD8cBQWtYYq6ZkHWQnsbO0WVWmynWV9IkchGtayXFRbvneHJ2iPZQyM5Yi8UnB7BGm2QTapvyRoowLSgmm3R8k5qj7oMwVHScbc+kWlNjWcg2WK+m0MyQwNNoSwuR9AkdXeFk7JDKagox3sGMIp52NYYMBfEZE6cUUirWaaYcakspWEmAgFhfi9VqCpn1cB2DMC7JnNCpKag9oq4hrRBjJUbh4jXWjpcIiy6+p5PcU6GQaHHufD97L5llvZVgrpJj9oEJsi9YZyK7wfQLJOLJHOd/rE24oUNbJ3egTOXJIqyYeCMOdCxVp7CaQVu3MByBWWjSLIQ8dHICJgJiekjz+iaTxXVOz/cTxkOwAyw9oOrGWOpkuLxvjtVMip2pNQbjdYZiVR5aH2N83xKV8TjBX49R+Z4mb97zGIUowl32M+TsDrNukbNOH05oUDIbfGzhKn5i9E4eb40zHNtg/9Ayp1sDDNpVXtZ3nD957CUYp+KkZsF6/Tr+0QKpUgtDC1mqp2k/WsCdcJh82GVjr0XjijGMn1uEThz/rwe5/r9+lZjwKf3cN5nzCpgiwAlNpvrKnHpHP3PHL6GQbeD0B1zVN4MpAh6t7uV9n381/2k72f+828rKCj/5kz/JHXfcQaVS6a2/6qqr+L3f+z2uv3678OJCtW3Kzm17Tk0IceFF/Kahli5tZjEPlqmWripup4PsdBSOv4vlj9R7pe8rVh/bVg5/u6NqA7r1AVu2pdnaDBh8Xy3PFgh9u5p5yTjIEGSIiMcxzixgnFnonUMr11UAEgUh2uKqWso1jPUmxkaLIJvAKcZwijFCSxA/vUb89BqIzf+T01WkJpCawGz4iLaDaDtYVY/Q1ghtjcDWCE0lKNWlsZS6QPMlZlMtuispPOkwe2Oc2RvjaHWn19aVy01IxCERp33RCN6uoR5FqZPTCU3InXbJnXZx8vRoRt20QHdDrIZa3LTAaNFTzu2y2bT6BK0+JWqVnfZxsuBkwcuo4l7k5mJveAhfqqJalPiXH9d7S5i0n/16tNu982quCpCKR0KcooL7tPuhfXBYQcm61nFwxwokViRhHMK4mnlodyFU3fuhu2xUSc9I7DIUnlCL1EEaKnBxM2r/ThFi8yZ+HJILYDbBy0g29uhs7NFxc3DyxwpYFaUdMPlpqOwPqexXOHXzeIJdf34eEYB2Lk5rNKQ1GhJbEUhD4rZMcn0NTpwcodGyMVZNEp/PkPh8hsGhCscfmERbtjGHWszWcujDLdy6RbUVp9qKY56J4/k65xZLVFvK4e+4SpBrpZqm0bZ7Xa4249gxFxkKND0k9HTCTqTabIUIM4CmgaybNNeSNNeS2OctzFWT8JIG0pJ0PJMw1MiOVtEyLlaxjdM2CXydXLFJLO6i+YLWNU1E2kOkPWQ6IDXYwMsH1FoxUjsrWHGPoGpRqyQQQtI/VOH0Yj+rZwu0WxadoqTVsZi+aSfD2SpewUc3AjRHg0RA2nIwphp4Iw7pbBtvJU7n1j7o6Mg+Bz+jBL1I+vTdbiI8gWX6BItxziz2kcm2kLrEWDU5fmqEuOFhaQEhgsdnR/jq3B4MLeBTRw4znKiRNh2uGZrhNb90Oz9x4B7+7onDPFSd4Gure9GRnNko4kmd/fEFDibm+fDxq3F8gwUvT8ms87cnr+JgdpGLknN86txlnHcK7PgTiVlXdTD6PxRAQns6w5n7x2kcz2O0IPugjb3cwo9DbNVhdi1P9ViBpetCjjeGmG738Rcz15PV28y0S9iax/FTI8SeiBOu2bRv62Pkq4Lr0idY7GQROkxcMfftPRe37d/U/uN//I/cfPPNVCoV8vk873vf+wjDkPvuu2/b4b/AbTvTv23PqV1wDj9sFsR2LQg3M/URxEbEI0qWrc54d5tIpItiBAWqVDfx/k+n/vy2G/WPjFO0vithz3oF2V/otVUsq8xzr0+e95RjyQhyI9ZrCN9GhBIvb2NEzm07b5DszmZALyARtSapR5sEfTnCuAG2yggb5QYiguqEpobmqeP4cQ17Qx3HWm8TGoqRx6qoAt/BmKqRCDMxKnsVrCC+Sk852E/qLF1tMXVWtT256JJ/oKLauLNIrKxw/qCUY0t3l2lHsxJuWkP3NguEA1M5xF14ktmU1EeN3qxB5lxIrOxTm1L9aA5qxFcEgR3RgfoSP6krleOoOFrVAGzOFhBKtQjJwAPq2jeHDJrDgviaDyIar3aIlzYILxogeTSa1Wi3aYzahPqmgFd8QxJaGjIqsBaLq5vXREqKX5/BedNkDwlUeDKkOagRxNRDvavSKw2wypvwpfS0IIxuHc+C0qNQvHsBgoDpHx8jf1R9V5+yGPlGh9qVo4QDDrJsEY/YgJpjIZonkK6Gc18BMwHaXIrwYJN6R12/oJokSIZobQWlysUU7t5KuaTiapanulvHlALNCLFMRbnpeQaVZpxiukm9Y+NEWXspBe2GjdAlYccAT4AhEYHAyDoYRohbthFOt+BZ4vQF7P7bDpW9Scov79DumIyVNli4a5TM5evU63Gs6RhOKUC7PY7sA/3iJrmUmtUrJZscPVpCPpBj1/cscnp6EK9qUNi/xmrDIptvUoi1mV/PEZRtzJpG2IqRXBCMXb7K+Rf7nJrvZ/eeBUqxJt9c2wNCMvPkEPmdG3izKZobJliS2iEXWjrpB2Nwwwbia3nqV7dpDltkpzaonc6z89AsLc+i0opjVHSue8kR5po5XtJ3koVOnoVOlp+/9Ovcs7GLF2ZPk7uozUI7x4tLp/jmxg423ASjiQ1euGOaO0/u4vsueYgnGsO8fepB1vw091V3cCC9gNuwOLRjnjUvzXSrxOVDc3z6+KX4HZNiX42bjlxKcb+Nm4Wpz1YQfkh6Nk3i8XlkLsX64SLli9W1OffmHFZFzXiZR+DS1x7j+N/s59TXD1C+SGPy+hlCKbgqfYYPnL+OxIyBd6jJfzt0C//z4dfwiz/xRT4wfz0nHpnAFy1ygw7b9vxbF8rzlre8hY9+9KPY9j+SBNm2C84uiEx/o9HgF37hFxgeHiYWi3HppZfyiU984inbuK7LT//0T5PJZNi5cyc333zz89TabfuXWBiGT8H+XRDWzd43WmoJAgXHsa1NUa7u0s3OS4mMagDEYD9isL8njIUQm8Ja3az+P1e06+kWHUe6nmIWsm1E01FLudqbdejNNMRsxU7kumCaOEMZnKFINr3ehHoTc6ND7HyF2PkK+YfXVBDTDWR0XQVBQgOhoS+tY6w1wfHA8QgTVi8jbrQiWIwria05xGYrxGYraItl9XnNwcmbdPYNUT5gUj5gElo6yUWP5KJH/ninN+PQ6tOx6vSEz1qDFtI2kLZBY9ggNBXNZhADe0Oy+IoBWv0GrX6D+FqACBWMx2xIpK4gPl1rDmrE10PcnMTNSdolFayEOoQ6xNcknZKJ2fQxmz4ikJFDHhLEtGgxFDyr6+x3TUoSR+ZJHJln/ZAkuSBZu9gi9/g6ucfXqU7pNIY0pXngeeB5VF66g/yRClZDYkTL2jUBblqjfFmOtctzW0TiIic4kyK1GNIYFTRGVWFvu19Rdtob9AS4AktSn5SYDaU94KWVHoHZgMKxkE5RUH7hEMFAjtGvd+i7v0Lf/RXyxyTLV8YwGwH5u2LEljQ0X9UW6I5g6OAyesJHauAnQ0IbzCNJsleukr1yFTmXIDHYIMj6mEbA7Foet2FhGAGOZ+B4BomEgwSSCYdWx6LZsBkpVDCNgKZrKYVe18B3DdymRfxYjKBpEjtnQjxAj/tghwTLcbyzKcJYSDjgEA44ZE9qCF8QxnTcrIDVGJxLMn12gGBfk1ysjT4dR/goitM4XPO6x9GOJdk40sfGkT52pda4fPc5vMtqnHlyhMwxk9KjUL+/D6TA0gOWWynCUFB8TDE1Zc8IUnMh3i+XsD+XJflQnJm7x7lvepLBqTIHJxfQ+jusr6UJo7oBq9SGjk58Uac5KvEeyNN+kar7aY0E5OMtQkOy8bdjjKaqXDd6hvHD80pI6/5xHq5McLpR4vrCSTb8JPvTizzWGOfzX76aFxdOMGRuMBqvsO7EsTWfgtXkl678MjtjKzx400U8VJ3gK4v76AQmXmjw45ffTcbo0A4tkrrLncd38737HsWIeVh/W6Dv6xbSgPFbW1QOZqnty9EuGTQvG8UZymDXQrJnBEP3tjEaMHxHjdAAZ3+bmO4x+gPTNAc0hu90WW8luHX1IDHNo9aJ0ZrweenUKU52BrlkbJ6P//irqfz5OF9/y+/xPYcfYfV3x//lz9Bt+xfbrl27AKWyu+3w//uyCyLT/+Y3v5kHHniA3/md32HPnj187GMf4wd+4AcIw5C3v/3tAPzhH/4hDz74IJ/5zGc4d+4cP/IjP8Ljjz/O2NjY89z6bftOTPvXcHz/ta3LyLMVjtPF8D+9vVsw9SKrnGdZVnSLIhN97nQ2M+1RkW1P9Otfaluz8EDromESj8xsrogKkIlFtQhbHcWIeQYgGO9Hn16A0EdfXAc96rttqTqGICDoU9vr8+VNWlNNQzguaILaZYNkvjlDlwTU6U9iNNX5zXOrdPYNAWBtxBRXPyC1IdycSf6Ur2hAFyq4+xXNod728RMqDS0CBclZfrV6yQ98fRk3ClYa44LkPOhuJLY1orK77X71N7aqoEDxta44l4K8GK3NYfLiosfrLwKwVhtou+2ojWrpcvSbdZ/k+RbtkURPnyCIG8hCpjez0ivUDmVvlmfv/56jetUoWgCtKVUjkj0bEFiC5Hyndy91chrlt+YZutvD2aOOX3jIYGMv9D0WUBvXaV0+CUDioXMQjxFmYpFwmLo/20UNq66c+dwZn8ag6lxrSJCak3Ryajyz06qd6/s1Sg832diTJrAEViNBbNVBW1H3cu6kQX08hVn3KD7ucuZ7E/Q9orrYKSn6TBkKRKDGKtQh9YIyfqhRXsiSWhaMfgxO/KwkZnmEocAJBK16DCuhxsdtqGtt5ELCQCA0WNjIYhgBBNBaTkVjCkZdxykozQC3GEJDFSaLEMi7SF0ydLPNYlSg2+4He11j5XBUJ5D3kFpIMuUQHMlybtIgtQEIGPmaIPiJFZ4oD+FMOcROq/vg3uUJNsoasXtStPZB7MZVVk4XSU9WaC+nWV3LoK9YBH0etR3gDbo0QovweyosH89TOAqdPjD3VfHbFi3XJGZY6EZI0AG94BD6mgqG6hraFVU4nWH4pbOcOT6M3tK47JozPHp2lNxkhbVEmurcKDHbo3kmy6GrzvDGV97LcieNG+rcs7GLa3LTLHsZNBHy06+7hWPNYXYlljle6ydjOVyVPMPj7XG+snaAtXaSN/7AnSy7GYaTguNr/fhS47LsLHOdHKYIKbtJXnbwGJ88cjlW3KP5A1Wqy2kO/M4K868fxmhD4c45ZCKOKG9APEYwmKcylWLhhXEQcOrtaYK0z+v3PYEnNdbaSepTkuSyQfWRPpoHLKyRgOuGpjn9zixf/8+HCOKSH3nJHZT/uMLtH7mCd09/H8enc+SGTbbt+beLL74YgCNHjjzPLdm279Sed6e/y+PadfQBXvrSlzIzM8N/+S//hbe97W3ous6dd97Jr//6r/Pyl78cgC996Uvcf//9207/vzOT3y5W/bk07WlQmjCELpznaRz8PXrMZGJTHKsYYa+7xbVdh1vTINrmn7Rn4/V/uoXhpm5APgdA4slFSEfOUa3eK+qVecVVLpbKYEQCTmsVYqsbm20L5RbF4S0FypH5CfWCleN9GGeV045l9gKLzCNLSqU2grzonQCtEykXZ5M9Fpv2cILkqmqX0fQIYhEN46JPkE/1CmaFLzGa0f4FjdCExIr6XDnc12OyLDwRsn5QY+hu1Y76uMXgfS7VCJ7TGlCOfpey04+LniMP6m9gC/oeUd+nZjusvKCI0VGfnbzArBMx6YDUDAxTw6z5isYUpUgs1irPXnvRXddxyN5xBmI21asV9Wjm2AblywusH0wwsKTusfhayOAX51h76RjJOXW/OUOqzqBd0BFSMSYBJIQg6MvRHE2gu2FvTEJTFSS3BlQGv3hUZYqFTNIcFqRmJesHBLqj+lR8ImTxujRSB3sVVg/pqoibSaQh2f2RDv0PeZQvSpCe99n7vgXO/siI6p4AUw8IO7oKpMwQLdAIv6RoSfVdEqckmXltlmS+ytp8TjH2tA20tIvXVn2xki5SCvLJFnPVAnZKfQ5DDd/X0BuqrUE6wE+GGC2BCAR+OkT4AnughbOaQFuxCU3J0rVQejgq5m6FNAY1tAA6JUg/btG8vE1zPUHmUIXgeA43q2ZDKrs02sf7COMBif4mrWHVvvZiDiGbWDeuEk/YrCzkMBxB43QOrd9BlC2MqQZ+JYY35EJbJ9jdonYmhzHZpLmewu330EKNoGWQLjksbGQZ+pDNwnUm3iBMja9w9nw/TLRonU9jNwShFFhldd0rTgwz5nPFwCyzqRyhFAwnajA4x87EKrUgzqPLI+wprXK+nmMikaVkNjjpDtBn1HnAmaJoNbiqMIMjTT608CJWWymWT5Z46/X38pnPXEfsqnUO9S0wmKlxZr3IidU+hrI1QikYTNQ5Xumn78s25UtsUscFkwsezYP9ZM4FJM83aO8dQIQQcz3k2jpapUZi9wE29qmgMLRVjcjnH7+EwaEK4q9L7P7p83S+MkzxCBgPpPir//wiXtf/GCdHb2THZxqc/2X42IkrODS0QP9DbX70P9zDyXiOr3zoRc/8vW3bc24XXXQRACdPnnyeW7Jt36k972nXm266iVQqxVvf+tanrP+xH/sxFhYWuO+++wDYuXMnH/7wh1ldXeWBBx7grrvuYs+ePc9Hk7ftX2BSygvP8Y/H1BLBLdA05ew7W/CjUUWhMAyEYSgnuQu5qNbV0v3cLdrVxCYs6J+yZ4EBScdVLD2ZtFo0bct2avFHiopOtNVWcJMu/KhrlqnWm6bqw1aYUnQMgmATjqRrarFMzJqDWXMwzm/Bkzdbm+PV7qjC52YH0exgVDqEcYMwbiCaDlbVxaq6KhsbQYakEHSKhnJiQ0mQMtG8EM0LaQ/GFA5+yMBwJMUnA0JdEOoCzZP4tsC3BU5Ww97YbFJ6RuKldFoDyunNnZHoHcXeExoC3ZHoblTsqoPZklg1iVULsGoBa4ditIbAroY9gS+pCfyYWsx6QGhrtPtN/JiGH4uuTyHzVBanrnUhP0EIQtA6OET27hmyd89QPZjHSykazS5cKbHUAc8nc87ptdHoqJmJ0qM1NBc6OUEnJ6hetwN9dpnQhFZJJ7EIiUUFu0kuqH7HHptBP7+Cfj4SMvPByarZkW6Bb31Mo/+RDokl6L97jeQ87Ptf59n3v86TmtZpD8RIHJln4IszxGfrlK8bZupD55n60Hn8XMDMXeOkT5g0DncYvEMnvgzFI22KR9rEFwXGzgbO7g6NtYTC9Xd0Yn0t9PNx8oUm+YIKhnOpFlIKCqUGAtC1kE7DQs4mCPpdgn5XBWuJgHCkg1fwVT2BBp1KTB2zLZj8vI9V0YiXQ+LlkPTpJum5kPYAOKMeqVcs9y5V+0SWiVs6JBdAd6E5FoCQCEdj4E/jJAYaJAYaCEMSBgL7Q3nW1tOMfVEjvX8De0MgaybJcxpOOU7ytEn6cQuz2EGGgvS0hluzae1xEUZIzPIYGt1gbqaE/nhK/R52NhFmiPPnw8QyDrsHV8mc0Yhdsc5cOQ/7G3SGfNa+MMpIocI9c5MMxuuUW0mOrA3xyPIIHz91OX9/6zW8bPwE44l1DhXn6bdqnG71c9vtl3CsPUwnMBgyK3zy+GGKZp29mRVihselh6f5u8euwCmFBIHGHad2EUpBq20h7svSdG2Wa2nuu38vlS8PkVj2SM0IvBSsHjKpjxgsvUBDa7lIXWA0POTyau/Zl//7I+z46BqxMkg7pO8Og9yDFvmfl2RvPc5GO0EQ08jddobUPWdY+KsdLHtZVq/Msn4whf5AmoniOkeWhqjsivGe+9/EA5UJXvH7d3wbD/Rt+7e2VktNm6ZSqee5Jdv2ndrznuk/evQo+/fvf4ak8yWXXNL7/tprr+W9730vr3rVq+jv70fTNH7jN36jN8W0bf9+7ILk6e/Ce7ZScG7l3N/6Xdek3Cym7QYxW5VzYVMp9zux7jHCcJPVp/t3y9i5Y6poVXMCxTwE0O4gIyx+l68fXd+E5gix2TYpo77pTz1HN+BIxdFW1TGCkSL63NrmMSKTxSxidQNQ46e12mgr0ZeJeO9cZs1j8c07AEjP+tgb6lydkoHeUcJPoDLw3Wy75qsM/fo+1Z7stMRwIl7+liRWgaBLCSqVg9/l3e/kBW4WUhHRR2ALwi23neapdfa6Gpd4UsNoaaxcpjYy60AcjLbqq1MwiZVdAsvsCYB5aYO1i0sM/12Fb2lSgiY4+05FxZk5J2mMwuD9QY8ByDw5D9kMRqWDHwmatSclYTIgNDPYFYkTqf46WU2JgKVUHUJvTCT03b5IbiS/qRiNKlqWmqA1AOnZiKoUsCuS5ctj+ClwB9PUp6A/gn9JDdYO6aSPqsDu/GvypOcky69SUKvigxBfD2j16aS+ZLN6GLInt9wbEjorCaxSG0+AVjEIdEGnHMf2oNGOoGQnU6yWYgxNlmk8XOTylx3jsaVhhC7RO4Kgoe5re0PHHfIImybxBQOnEKK5AtExyN6WYmM/GC2f/oc0rFqko3B+iey8zuplOzCXTCrTA8gDbWQgyB0Ha3qFvlaeU+9IsusTDiuXJ3BzsLHXYvz/p2ZJyodNKqOS1CPnGTWmWL1Ux761QHt/QOlBjdpO0Bo6ZksFaI2lODLtU73UVfococBOuVQXMjilNrnHDRJrIZobYhxJUnzhCs6PaQzZHdxAp3rA5+JMhRPtfoxHUhhA/WIX/xujuFnJN49ehFtQ1/X7Xngfn//0tWiXNmj6NgN2jbuXdrCaSfPIA7u47AWnKZl11to7ebI1zDsOPMDNc5eQMF2EkOxMrRHb47HYzDCVKXO3uwNLDwh9jc6hNuPxFv6n+hg63aHdb7Ox1yI0oTkikf0O4vEYuRNQubRI9gtPINKpzVqt6HfvjmQY/uRp4ms7MRsBxb8/gWP4nPePsfQ/XAbbu4iPXQS2QenzJ1n62SytQZj68zOsvmYn+zIrnDo3yNCch1Gs8+iZSS67fJu950KwpSU189vX1/c8t2TbvlN73p3+crnMjh07nrG+UCj0vgfo7+/nwQcfZHp6mkKh0Pt+2/592YXI09+j4OzCfBz32yu6lVLtG6n2EjlU3xKi809ZxAgkgwDRr5hbngIR6nK7d5RzIzWxGQwIgZZVsJ5eLYHjPnt7euuiICAf6RLUIljIWqXH9BPEDRhVbdFnVwlTymnTltafecyofWEqjvCjrHlC9E4jdYERtd2uqEx8EGXO/YSG2VT7uCkN3ZU9wSwpwKpu3juBrdHsj/jmxyF/XJI5v4lXtzc22XpAZXRl9LQLLIHZ3BQIS59tU92dQO+oMfGT9GYGQOHl/ZhiOrIaXccG0nMBckBBWsT8Cs9qUlLZaZCaUwOweoXErAtafTqxNdUgHaDRxJnK48UjbQArxFoxaPepWoXuzEZ61qV98Sj54y0aY7HeabLTLug67X4bc9buzVJpPiSXfJAGtUlB7rRqh1ULcDMGiSUoH7SZ/IcWoq2CoOG7W7hZE7+UpjnWT//DLvETyzi7+tV1O7FE87IRajtUUW/fw5LMyTpLL1T3nlOSEAuUaFagoU82kXNJjP4msgDmAyo76KVBOBrlBwdw+wLuv2sfjHbQlmxia+AMqrHw4xoYIemjNn4SzKrSJLAqiqrVrAqm3xhnzwdWNmfnTFPB2oTC1OeTbdqeyXojS+mhCrNvHafvcZf0tIa52qDvMQ0/puMUDKSh7kcnLxi412XmHWOIq9sEp9I4V3fo+5pN6daztH50B8k5JarW93ALJ5ug029CKIjvr9A6lcWP+WSHa1QXMkx+bQ0hJa2pHKk5SbmWJAwF5U4GQsHkzmWOzgzT91Wb4l0LzL1xGJqGmr1xBM3xEKRg9GuSvxNXs+/mdcxXVPja6b1cv/MUU9l1zlYLHDx8ltm/2MXyD6WotOLcvzqBJiTyw30M//wxcmabM40Su1MrnFjv58xvHcB+Z4PlRprSl2M4WcGJHROMrgaY6y2CmI4IdRav09Bc8NqK+So0BPFVdc/IWh2h64q6WNeRQYB19xMwPEhi0cVP6Sy9YpTT//BnNFsrcA+c4VGsnT7j6yWwLR5cGyN3SiJLOfq+cJqFd2bZO7WIrBWZLCyR/g8Z7o5fAkef/ae2bc+d/emf/inAduL136E9704/fGsax63faZrWqxr/Ti0IAprNJkEQ9LjiwzBE07Qe5KSrMAc86//d/YIgQNf173i/f+x8UkpM08SPYBlb9wOecQ7DMPA8DyHEt32OC6VP9fpmQeuF0idfBEAIbteplOBHhO2ahgJOSyQSTUZ1Cbqu1jtNiJwE3FZvW1D3bihDBOIp6zf/f+Y66buAoHrjbnL3zKr1od/bRlog0HB1H5BoaFCv9MY0rCj13dbVo0gZkn5wbvMcwZbZA0NxnPuhi9ANcCPFYa+zuX1HTeF6wibQFH7e0iXh2hoCCJEQepvtD91eAOJkBIYrkTKknQwQNVW4urJLUDym1qOFBKYGQYAQGn6oxlYIAXWJGxOYyxpISTsBrV0CGUr8BBRO+og6IATpJyXWkosenS/XtnGKJkEUXASGjvRlj6pSeMrxD6Lr3Z40iM3VCQsWQgikIxVBU6iCGBEIQk2CDnbVQ0pFu2lUJV40LprwN4t5hUDKECE08CX9X5qjdlERKSXFuwXtfo16XpJrNaN+u3g7R6gXQowVBZmauGmFxZf1I0JBaEhSMz5C6HgEir3I0tHbLunz6vzrowalJ8okbl+jduk4GDpSBjRTLsGgQLg+qROSelGNpxETtFI+6bKkVdJYOKTRHsiBJtj5gVkqe0apv8Bg9Ct11nfb9J/XcaWDEBpayqCjuRTv82j2C3xP0s4IvFAFv6Ej0LU6siNhySSsGhgHymh+SOrv06y8oA1hyMBkmdWTAyT2rtFeyhCmBcxpINq0Lm+juQrqZp23adkeelWQOdLByRlkT7eYfXkKc77D0JMOotXBW69E97dEpNL4w0XCRofGsk6Y0fCPJhl92OXEW2Ps/MQSneEUfbeuUh/LEj+5iF5KkVzTCVdVoilx1qaV8Bi/6izrn91D8d7zCv7X6nDqp3YiLYeRz5xRWhl+iL5zBHfEx16z8L4eY+LONTYuShNftSiuVvADh/OvL5JaCPCMgIK5ho/JWi3BYF8VpwX6MUicqjJ/Q5HqWIOpTwZ0SiYLNwQ95e62bZAdqJD5w2V2mSuc1ZMcnctFSsYVSmGZ+TfYNNYMLu6fZrGdY34tw2U/foQxsconj15K4OmU9pVJBhXOvsLGqoaI40mCl1awH42jLcPcFYKJJVjeEzB62wajqzHOvc7EntEZ+NAT+PvGkYHE1wJENkcYZX/1XBG/XFblJrOziIVZLNNkOX9aOfxb7PiZz5FNvg75oitZOCvZe8dpAi9AOg5XWee4afVStKLgjmPDJK420T1JrVbbfuc+j3364z/+Y2699VZ0XednfuZnqNVq/+779P/Cdfp2E6rPu9NfLBZ72fyttr6usojbGf3/t+yChPd0bWvwqQEIhW9Hg7CrsKuhFIG21CV0p7UN/anbIqJCy6c7/d11W/5GDDsiEQc0cg8ube67ddZBqGDDyxggIXlkaUubdbSCys4n7zipzpdMbjr6QvSKetVxRbejm2xFW8wvJJWD2PLR6tFshmEgbRUIiY3GM/bpNTOUtPtt5fwGEk35YnhpiZcUILUelWZoqQeYmwKjtTlGeluSXPaQhDSGTYKYmjEQIThpJfqFUMfQ3BCnEFPBRLf9EfxH9yRucpO2M7BU941oZifUVaGsH1eXN31W4qUEnuo+dl1pAZhNiZsxVJ9CSaeoEwoFx4kxgDYbXYteHBdd/1qD+mifepi7kD/uU53S8dIWQmjYQiD8kMSShxaTinApFcNsSHU76YrhR2gawle6A6EFoSBi8FHjEY4O0Bq0Scw3aU5lVXAqwLcBHTRfUXsiVV+MJmwcgPGveKztNzCrqsnuWJHsWYf+W1cgGSM82Mf8q4rIUAUyA60khhOyfsAkdT6gMaphtXTyp9RLrN4xqVkJzPEG9rrg4pcf56G5cXANRL+AhAdhSPmxPlIXVfG/UiQZB6spqBzwiS3pUE4SJBQ0qrnDx1oxMVpKeyF9voNbiDFyewtjZgVsmzCTQHMSUSG7pHnRIPZKmyATYsQ9tLsyBFe0mMsmKD0kWTucozkmmHi0QueSIuHBPkSg4GVmSs2SBbagMqHT+eIE/eddRdNbq3P+3fvJX7FM+8sDamau4zLzo5P4MYle1xh40KM+onP67Ql23OxirLeo785QnUip+86RNEYE9sf7Wb1OsvPDLU7/aIFksYOflqwfiJGZ8UgsClpDNssv9rHSDl45CSE4b6rg3V+gdcMGS04Gy/DRtZAdmQ2eWB9EhpI9+VWOr/fx2PIIr5w6iQxDOoHJ5z5yHeGlLV637yh3r+xg7WyOfQfmOXF8FPp9BrJNlneYmBmH/psSnH95krHb2vjZGKGlsee3TqhnlQwxjs30Zkfl+npUwyQJy12ygM3nqSgVGEjuZ5UHCfB66yWSdW+BsTtO4hR1Hlq4hZSRZ6J4Fe///Cu5/MXHefiyQUbfrzP7Y23G/u8FRvf8XWSe5/GTP/mT3HTTTQC85z3veVaUxrZd2Pa8O/0XX3wxH//4x/F9/ym4/i4VVLdK/F9quq6TTCb/VY61bf9yy2Qy//RGz5EZXbrKbtY6Ed+E7PSw7pGz3HXAu+Jbmq5oLmGT217bDGy+/RAnepkFm06v7FNwCtFl3NlimfmIKciwNmlpukXEAHZ05nS2B9npnQMirPlm64zuo6AbX2gaRoR5l7YkTChIhu420bsBALo6xtagxFKMP246iRGtb/dp2A3Vr8J5DUPf7KOXEZht9TlWlrg5gQRS8x7VKYtWQX2Xnfeoj1sgwHIkYVKgR/vpoSTotzAC5eS6KZ14WxJbU9ejsstSsU4XYhTFcW70ONA7EGsFpGpqPLwhBYuxuqUaOUgthDhZjdiaC+i0+00S6z5aNIam5yB0+2nBoIyCRkHMVfdYcjkgyFvEHUElopOMTewnvhYgTYGfUGNuTbuIVJzESkD6yTJr1yjsbBgTWIBrgxGALKjr1ndO0tqTx0sIaOq0JtWxjQ4kmtAYVf3385t3QrIB/Wd8qgfjxBwwomtUOWxTn5Kkz2YZ/uICww96aB2XlRcqKNPSK2wGHvTJrOmsXyHofyjE0EI0X7VFs01MCfqjCUILHjx9EfgCGQ8QGRNrPaLR3NPGSuisX2ay/zdnCIdL9B83mH9JjPgqlHeo65eaiWG0IcxA9q4lvMk+YvPqnpZOiJA+4IBmIXPquZKedykfLiDiElmNEXvtBtxVpHNxm8KnffSFNZqXj+FftptEU2Pxuhi5E5JKv2D0a+p3klmGyqTN8L3rGAvd36DJzg/NwodAetMgDIQHIw8Kzr7FoO9ejdUXCvyEpHBOsHEppBZS2E5IZz8kzxq0x8G7uEPtygD7dIrhPznHzDf3YyYCOlmLREtgu9DaEWPjQIjh2ehxGL9EJccKsTZHjRRn7jzA2SuqNFeTJAeaDBeWOOtpCDPOxn8ZoPh7Nc4cL3LzA9fSt7tMPLXBRT9wjgfv2cM/PPxC4osa8TiEdhzNspncu8TMk8PEhlo4lSxrb3cIKjbnfjDD2JclVj3AzBSQlaoKtpNpBevJZgnXN0BY6oEXSnRtkypYGx4kWFii4x8jJ0pURRk/3Kx3WgnOM+BPUv6bmwlCl41gibmlk5Smv58f/dFHeezuS5l/vc3O351l6P1LF9S747vJ3vve93LTTTdhGAa/9Vu/xbvf/W7gwnqXfzfbt5tQfd7Ze970pjfRaDT4zGc+85T1H/7whxkeHubqq69+nlq2bd811mW8MXS1dItog+CZrDo9Zh5tc3Hc76xo91sx+gRhDybSZcV5ikXtCRMWYcJStKGmoZZuce5Wlp96c/N8Wx1SXf/W7QhDpGkgTQOxUSeM6YQxfTMYerb+aBqd3QN0dg/g5vQeew4CvKTASwp0V+IlBF5C4erNZogfF/hxgZsWGB2J0ZE0hk2aI2DVJVZd4uQNnCw4WbCrEqu2uZ+T1WgM6fhxDT+uYbRCQkNQm7CoTVgICUZbYjXUIiTojsr8i0DRXdZHdPy4EmnSXECCm1aLVYd2ScNqRO3IK+fWT+oEttZT7n3W2omINclsqqXZr0czHeo8mgurV4Z4SXWM7jhRa9B/d5nkuTobh0ts7BNs7BNU9khCQ/HxSw2a/QbNfoPQFFg1JUrmJwxCQ/Hym80oMHLAT4DeVktgK52D6pSBVZf037NGY1jQGBZkzvsYbUH+lEfQl0FrOoj1GvG1kPhaSO6UpDppEFiC3ElJfUwjsDSsioNVcRj+6iqjt7mMfbHM5AdOY9Q09LZQNJsbYFWj5UScxiNFEud1nAMjbBxMU9kdJ3NOiaGN3iIYvUX0NBvafSBzKYyaA802rG2o7LvjQrPdo9AFEGFIY0xgNDRiqxrrc1kmPjJD+t44YUzH2TtM8p4zxB+dYeUyg11/chY/Lhj/6Fm0uRW0uRWsozP0P+ThlpIIy0REAYVstZEdB4JQ6XFYJp2SgVHRqe4UOOMuQcnDzQACMneeoVPQ2f8HZZp7XRqTIfm7Y4hjKbQ9dY799QFK+9YY+W8hhcd18t84R23KJr4WMny7JDlVJTiXZHp6kLZnMV/PcunQAolr17hkYIHLDp5jOFvl5i9cQxBqFOw2a4eznDk9RP6ojvAF1VaMmVqe4+U+fvxVXye+pHHo9cdAwvR8H5qrMffwMFp/B10PESEYRkjivIG1oeNkdewTC8hqTd3nlknn4AgiESfcqGx5Fsin/tUE4eIyTVnjhPcQZbn4FIcfoBKs8Ej7awRb1sswoHnrHfz8p95JrAy7/+Aki79lsPi27cTd82Gf+cxn+KM/+iMAPvWpT/Erv/Irz3OLtu2fa897pv/Vr341L3/5y3n3u99NrVZj165dfPzjH+eWW27hIx/5yIUNB9m279guyOvZY8eJnLfgaRnxrX+32tMZfrp/tzLwPL0guEuP+Wz7bzXX26Te3Hr8aIZBX4tqI2y7V/z7lPM9g6XnaW3ubRs5/98q/JcSc7a8ud/TndtI1Mwf2oTiaa4ktLrwGdHbRd8yk9HJaRidzeLY9NkWbi4qEk7pGA1BGGnxeAmNxOqmmJXuyh4UyMkKBYOJnmahqeElBH4ktWC0AanqDEAx3YhAKfaCgnEEtsqKg+J17zrkoAIBEYCbFMQqMjpmSHVCp3Q00m2oNtWMT+QM9ixiTsqeUg7pxr4kiWXF95+aU99pvo2XkLgpjURZrWtePo7mScoHTTQXUrPqcK1BQd8jTaq7EjQHBVZdtac+ZmBXFXTKS+tY0eROu6Q0B6wKxCqSIBrPTlHgZARWVZJY9mnsyTNx00pvVigxU0BrtKlcMUDuviruniFi5e4sxApnfnJcFReHgoEH2hjrTURUIyHL68SWVhW8Ix5n4gsdzr0+hr1s0BijV5ztlEL0loabgfIBG81TgUlySTJ4R5nFG9TMQmwDio83Wbomycwbi0z+5TSy1UbEbPUbCUNIpxC+z/LVaipD6jDyjTbWsVmmf3YPuSMG4UCeoY8e6zmk/oFJGmMxxr7aRJZydEqw8popgmjir90P1qLDwJ0VNfsXsxVFrWX1nhXS9ZQew5eOkf1C2Au4hWVy+hd2I66qIr+SZ+2wZOXqEjv/2sUs11i+rkRyDphLU90tCRZzNH+zRXMxoFPcQXt/h+RjMRq7fBL35ijNSTo5A/+bfZRvcOBvSpjAY281uXpkho1OHHfYZe1kkRW7QK5bv/LaMrF7ihi7fFbO5zEqBh9qXcOVrzvG+T/YS/DWJhPFCrPLw3gFH30xTtAQpKow8gGJdu4EMgjA93vsPELXEZkMK5dZjD3kR2xnW56PW7L88pLdaCfOoze/dX6xEW6Q1os0qKjzAYXkDszf+iz+gV0cfXsJUUkzZPzjkMJt+7ezL37xi4DSUHrjG98IXKDv8m37J+15d/oBPvvZz/Le976XX//1X2d9fZ19+/bx8Y9/nO///u9/vpu2bf/KdkGy93StC89JxLsslD24gKg97WUTBD0hrGdQdm7JnssoMy5SUYZqK23m04ME6GHSRTy+qRDcam+et+s9d+FF9iZTC7q+ydrT3WdrJn9rtr/3wI4Klp/FxHpl80OX1lTTnhoAxeMEA4r5R4QhRiNSW83ovcN2RbJAOeZdJd1uLbOMulSfSqiZAdS62Dq0+tUYpRbCHt2kHwM3I9C6MZGvMtetAbVtfE1itCV2LXLqLUHxK2fpHFQCWZ2SgZPReucyWxKjvcnWY5cFTgGsaAgDC4JYlPGPnL3Eakh9T4DZUt6Vlx6lk9NIzXvEH52Jdgx7zo8+vQBAsVFArKw/xUkafJxolslg5boB1YZFF+PcMoPVfuZuTDLxORV0VS7OU9mTIHeyRW1HEqseRn0QiEDipnWcjEbpERUUanUHdMHsq4s4oSC1oH5/ga1jtiR+TJA4vgKmweIrBmgNKkjZ4H0+7VIWuxLS3ttP/NhibzbL3TeK1GHggTbNYZv1A3EGbl2ns6sP++Ezm/fGFvG3PX++zJO/WiR10iSxHAVOTQ3dhcaYCrT0jgrQYmseKy8s9mowOgWo7Uww8MCmSrZIJZFtdYFEIq5+A0GgsuuomQ3rzDIyCNjxxydUQKZpyDCqxxGC+mScWNmnsidB6WtrTH6kRVDKsHaZYiGavLlGWK2qANyIIS0DuWMEUW3R3N9H4lyVlWuL9N+9BucXe90+/tt72ffHG/jJEOkYiHqFPX8BYSaGPruKbLXpe9hGX65w8mdHyR0X1HaYDE7WMH894NR74ox8ymL1UrCXDESo6jgKJ1xiJ5epvzbH0is1ktk2/akGFTfBZcU5+uJNHpkbYShfZ04vcf3FJ1hoZZjel+SVw2d54ObDVG5sE3RM7j09hXyphKbF2doAmiUxKgaFA2uUN1L4AubJMPrB2c2kCKiZFd9HuC5jf3Zky7NMPDPLD4hHTyI1QVxLMaRPsRicVZvrJlahn87qfG9bV7Z5+dBPM3dVnPqXb2H23O3qi/vugvsFky/9QU7/jym27bm3w4cP81d/9VfcdtttfOYzn+Etb3nLhf0u37Z/1C4Ipz+VSvFHf/RHvemjbft/174VU9Pzbt0XmOf1nGvRDQS+lcDW0533iGUDVFasd0xQSr9bRb+edgxhdlOxzubMw9YmdlV/n1J0vCW73y3I7X7/9HY/ff23Ixz2NAtG+ggSkfKvqfVKBYyWR2tEpdelBn4sGsOQXr2y7qoi34j0BikUTh1A60iCKDvvJwSx9RAZjUG7qKFHnPRSixx9c0u3AnqzFU5GYLYkQXRSq6YaGHtCcXy3XzqFCEHzNoMCEUiCaGZCCyCxTI/bX2gKAkSoZglAaQikT2l4kTaN29FUkLE1qNtq3ULtpTIzP7WXifefeErRsfABKTdnKwwBvk+n32b4rg5BRg1MctHFzRg0JuKUHgsw2hHFpylw0xrJpQDNl1T2qYbZ1QSJc3VVSA3UJnWsmkR3JZoPXgrm3zBC/8NtQhMG71f3+9yNOsIDq6pj1XREOEgnqh+wKwGaC+dfEWf06w6ZUx3wfZpDJrGuijFKnE62O5hHzyGBA+9tqHs1Ckz9UprFFybRXTAaKDGtoobUBa1+mPrUKp1RFVC2+038hEH8yJxy3jMpda/rGtLzVJAMxNbVOJduOqZiTimRIvpdhKHK0qOC68Siy9kfk+jzJq3BCcY+cAzd9xn4RvQbarYIPRVYyMBBaBpuf57V67MM31GlNZkltehz5gdL7PztyOkPQ/b98pMA7P21RQW7y2RgblGxbOgaYqCENHQ2/twm92lBasEjtqFxJjtM7nqdwU8HLF8RqR2j7j2jI4k9MQ+Oy453tUATHP+1XZxNJFjvb3BseYBO3WZydJVivMWcKHLvbQfxhl32/9Y6d3zfYfxXNRjMNEj9coy1K3MU3n6e/niDh+bH0B5MUzgeEP9MgtLSOp3dfcQeOwUxG9lqb0Ibu7fzRkVl/BNxRVHguAry9GwW3fuX9L+GkfVTOGETTRicWHvwKZs5YYt5a4Fg9zXM3aTGMBcfodKeBylpVBa4ZCj9jMNXq1X+/M//nJWVFX7pl36JoaGhZ2/Htv2z7cknn+z9/73f+73cc889/2r1ltv23NoF4fRv23ePXdBOf9cMYzPrvzXLDpsvPtPcdKCfLePRdcStpznurvvMbeCZwl7x2GYbou9kx0Hkc2pdN3DYisvX9V6bZEY5fWK98qwzCpv27V+PLie9W7B7zm+oC6ya8uCdgo0Iuo65crxBOf/d7L4IVOZf6pFDXg8IXPW/l9TQo2Ag9BWkp3uM0AAnJ4itS7SWgrF02yCFCizMCOriJdXxukJaYSSy1QusQqnaEV02GUqlhLvlcgRxtmgLqCz/4O1lmjtzvT5ZNdGjAXVTAqseEn9i4Z8cx67DL7oOsgzVZylIlNU1Wr4qST43Req+c7Qum8AdVCcyW6HSOmhLRCjR2129BoP8AyusvHgQsy174+2mNORUmsSKpDmgxsGNYE66q4Kv5FLI0tVxYmVJfF5hb1IzWYyWUjgOLLAXamiOmq3ykwZmA4pHPfyUjtHSaR8YQvfkUwKZp2d+uwFr9941anUKfVOsXGqQXFazDm4OKrtMhu51Wbu61Lsf7HWf8kGLfneY1qBFcq6DsUhP9Rjfx58aojUUBZqJOLLTUYXxW4IwGQQKn59KEyR0svcZxDYk+bvn1H3QaEJeOZbNA+Noa3Ws00uIRBIZMwksjdACrdoiObOE9H123v00SN1Wcz1keVPPQsRi4AcYSxVWjg2x90tnqVw/gb3us+uTAbMvi6M7OmYTnLzErAmkAStXCPJfdnvQF4HOvt88hXtwnLVfkphGgPGExXohwfmjw6TnBK3DbXB1qpf2M/GJBdbmh1jZm6JxHdR3hTTuHKd+1QrOfJKYoQJCiFG9dgTNg+rbJyjcY1E43sZ49PQzAloZBAS7RnCKFtaGi/7QCdW2eKw3w0koeyw+Qgiyl72Isw99mmn38d5x+i5+MfHpDc43H+fJc59jcnZMBWoSauFybzttop/J1FO1QU6cOMF//+//nU984hOAEo366Ec/+szrsG3/bOt0Onz4wx/ufb7qqqsYHx//9/Eu37Zn2LbTv23PqV2IU4LhkHJmtUoENn66o7/Vno7H/07t2ag+tyio9oTCnm2cImytauwWRz7KcuI4hAMK06y1vWce++mmacqv/Xb6omm0xjezbD06TCckjAIb3Q17zrzUNp1qPyY2M/2eRO+EyAhaE1tsULkop7pnsiU4iBz3aDi6irudSJlWBQ/qO4Fy+t30JmY/MDdZgZycwlmvvHpSnXPj/8/ef8fbllV13vB3rrRzPjmfc/O9lYsqoCgKiiAZqVJRRGwU0BZ8W9+WBx/1aZW3W7RtfdQ2odhtaAMgFKBILKoIlXO46dx77sk57LNzWmG+f8y1wzn33AqoxUXPqM/+1Ll7r73WXHPNvdZvjPEbv+GhG+1IfmFCEF6lRQeqZlQH3yag1+uKUrT02gymH301yxLNlYgms8ov/nWGujAutCkLTWvRtoTW+nsHQAbwJKGHFf3BTR5XjdciYQLbdaycOrfc0TCaA8KVBHIeRl4NwA0ZUK1R6wK3JKj0qe1Da2DUVJGvWVYZje3D6rZfSwnMksQNCOwYJC94eJb6LLwuic1WCeSDbB/WmP6hLiL+aYXXXXofrmFulnBjIdZuiJKccVrZm6aJgAWO2wKq/km3MkOyYRO57wL91XHWbrBIn3WpJ3WEB9ljFrbP71fXwKOegnrKpNyrEdxq6U0hQkFo2BjnF+m3RrCmlHSqMAzQpeLdg/otSP/f2RxS6yG65FLt0sm9dJDsMQ2jrBy8xLSNXvMo9ZmsvWiU9FIANyBI37/C8P25nef0bPe0DvqfrFSR/RnsZIAjv3YOUgk8QzD7Vp2jf1Ki+wmLjWvUwjzwiRKLr42ROO9RS2qs3X6Enk+fUY6OrlG9ZhTNlUT/MqmcYFeSezxFZkay8RIXWTaJTRpsXQnLb+6Ckkf8vA4aaHWBPF7C/GiG6LhG4YRNcNnEXVWyrukzDfrvKuCFAhQPRkg8AULTkB0UQS0cRjw1RVgIKq88Rqh5PQwDMTKI3Nhqg39AlsrMeWeYthXgHzAPMhG5lmhllM1bgsx/8Snl/Jbr9L77x9n87N/jbhcA6O2/lmHvGDVnsrW/O++8k7e+9a1Uq+379fDw8DNfi317XpbL5fj1X/91yuUyAwMDLC4utsB+Pp//Do9u374d2wf9+/aC2mVZ/CN2RoKxTMXjfb7fbz7cL0XxuJS5bqv4UyZUNFVkCxcfJpNqOR0yomQPxWYOyr6zYllo6zn1t+OojEVTeQguBvfxKMKzOiQ9ecZOxM0ovmZLzJJC3JVei1pK1R6Etly0RrNBlaZAK4qa0OTjaw2X0IUtZMAHnoPxtuKopLWdUZM4AdHidaP70fzmUEWbniM19d3m8XaDz8iqA5rWciiqaQ3dVipCAPWMi3D01veF51N8/C66TlhQS/nA3j+9cq/AKqhxgso26DWPencAY6Y5h4rTvzuq3/x7t6lov/o79bULlF4yTuHaPuIPLlC5YkBNQ12BdN2F4HoV0WwMU3NZedsYdkwdtjlPwZz06SHgmIKNa3T67/WlWHXB5pUmrl+ovH6djllQ6y+Qh7Ubw8RnXeJzktKQaM3r5lU6o1+sIvJl1m/totYN4S9tIoMm5ZsPqTm/57z6DVgmoqGiwhcVxQuBdF0Cj11g5DGQYwPkx/z6EEdd4+RZ5WUtvDbC4LcabB+ysKNQTxgEmhPnuorm4zhYZxbaE2pZyGqV8iuOYOUdKv0WiS+eaR0/tFxh+ZY49RSYZQ07Kum/1yZ0drWdMRuKEcoZrN+iUc+4pJ4KwlbHb/v5/M797etdIaQhKN18EL3mURgTxC7obL4ohRsUGCXoOmlz7t1h9HQV/dYc+Y0kciuAGzxG/9+coXF0iHraYPuQRq3XRQZd9IKBZ3psDLsY66a65hGojzaIPm1R61G1K6XXlhDno0S/GiU/ppxnI2oTWjcxKh6ZUw6B9TKFY2ni5/Jkj2ok7w4hyxW0aASvVEZLxKmdGCL49DyyXCH8zUlVoqPreMUSmmmCJxGhIPZV42wfCdLzN0/ReOxxtS61KIE33krhpiz27Fd44lMqQxbpHSPefxj9NWXS3/NTVJ6cwpofI+32Iap1nvzklXCrmsqPfOQjOwD/933f9/Erv/Irz+967NueViqV+Kmf+ik++clP0vCz0z/2Yz+2I7p/WT7L9+1ZbR/079sLavL5PiRfANNWOprDdQL3zn//K1srbV+z28ffFUGU+aKKagIyFkbbzCmQ3swOdFJ9OuoKWtb5nqYpsO81dqr3dH5H03ZkNsJPKk58/dgApSEFuYyK17qJOEENo+k/NdodcPVG22FwwjpeJEhtQIHL8OQGnqWKRz1T4FqiBaQ9XWtlCMyqcgKMevOzduGtUYPQuk1hzPKPJ0mcr1Ae8nnwj87jjPfhBNqg3o4oigxAfEpXOvDN/VUVnajsU0U0H4Cqf7TPqVMxyKwoKVCvoyFR0zpBfutvy1QULoB8UVEgXJDSRRiKOqbZqkmYTMWoZYzWuYGiwpz/4RgTn1GgpzAWoNIHsRnoejxP/kisNaeBbZe1G0wyp1w0G0pDqhhCagrI21HofcRh+7BBYlqtufyEjhtQVKj0EzkydxWYf8co4XVJfAZWXhZl4GsOqXMN5IxGYyCBXnOwcmr9Cr/IPX/zGPGvTTZPfufvqRUBBzTB+o0Jv9ZCqfgALN2q1snYHZtsX5tpSa2G11SGQ1imKiyNRRW3vFhq04pcF/fwCOV+g9KAQe6YR+KL7XFo2yU8K440oDzscuxXpth+3WGCiSg46ndglBq4rmT8986Qe/1RWFhFNHnuz9Psaw9iPj5FI66TeGiJ4rUD1FM6vQ/bNGI6q2+r0/2lINtXetSus0nHqlQeytCYDXLk/nVKxzIsvhoGTBMvoAq2GxkPaUmEIYkeyGE7OtVcCGlKajGPwJaONW9RPGpz6K8cFl8VInx3lMJNVfLjEs/RGPqUSW0yTGzB8R1Bi/orLIIbENpUEqr5WyZIPLgItqMi/qUyWsOFZBwRjyENHWYXWvcxL7uNODiK2MxhPjVD72kDz/PoNUZZcCapeSVmPvcx+Fx7frRAkOQP34axDfJ8FEpRwqKX/qUq1V5BJaWRPtuuG/jpn/5p7r//fhqNBu9617v46Ec/SjAYfN7XZd8utv/23/4bf/3Xfw3A8ePHef/739/S5W/a5fgs37dnt33Qv28vqF32N4qAHz9sFtHWOrjzsNMZaEbFm+CtuW2nLOdeyj57RNOF39SqSd+RidhFRcQiGVe6+4CWK7aLg5sqQp1R/YYNfmfRVtbC86CpIuQ4qmagswfBHuOzx1RTKHNxu3U8O2q0FHfcYHvbekIQ3G6ez05qTjOaH15zdsqD1upEHlfOROXKQVxLbxUAm2VJPeHz8F2JVW47JHodjJpfxKoLPFPQ8w2f/1tSvQkSM/7GmkZpONhyEtAU8K8n25kBqflAHnyw246WO6G2I9A011L9ApyQHxH2sxlGxX1ujmI4BLmObE4TqErU96UkuFxGeBG2r04RyPlymBpEFutUe4MkJ3WKo8qxMSuS5HlITFXBbY8rmPUIzucR13aRO6CTPuO1aFC1lDpP4amofy0DwS013/FZj60rNNZuMOiyEoQ2QsTnPWpp9Xn6tE11JIrUBIFsAyekU09bLVnPcx88SGxOYIchkU4hN3dysfeyvs9Ns/bmCQoHJQPfcimMGhQOqWvsxkKEV21KgyZWUSBsn2YSjyGqNdU/wjBU4XzIL9YtV9BPXqDnnMncTx3jyJ/6Y/D7bMhsDs8YoP8+h7m3SdyDgySf3ELUndbvX9suIWbyICyqaUH5x4+TvOAiXEn4G2eec1ZPhIKYT06DlMS/dAqpaUTvLiCiEXIvH0EK0BZC2CE49l+myP1NkuR7a7iDAfTZVVUHUElx5M8KYBiU+00acdD7q7ASgohNfi2GcAXS8LBygnqXoOdRh+VbdPSiwYX3uRiL0EhC95eCrL2mQezJAJrjYB+qUtgK0ftgkdCKhtZwKB6IUUubBLMu69cbxL9SVPcpIfCOj2OtFZHLa2AaiJ4ulVlp1iwJAfMrSCFoXHuAwEoBUW+Q1gcYuO3Hyd77dbx6DS/gYaRjhK+5hr7g1aSnTPSaTde9Wc79eA/BZYepHzU4/qsLLP9ynO5vtSklt99+O9lsFikl4XD4Wa/Bvj13++Y3vwnAr/3ar/ELv/ALe/L3L/tn+b7tafugf99eULusU4JStgttm9Hz5o2tCcobdssxkFGfYrPlP4iaBbf1BiKxU2VCbimAJw+Poq3uAkBSXiT/KcoV5Lbar4j5EjHlSrv7b8NuOxtN50DKNsDfi6Kkae16hWhEfS6BRAyKeytvmNM+kA4G8PqUDr8TbBfp2mGB7tNsmnx3UEW0Db+gNrLutppPeZbAToZa9KBOwBQ+s4p2qBc7qtZII661gL5rCYQDiccUX5tqbUdWwh3rU2Af2tKk/lpzh7txgm16it6Q1JPtf1sFSSMmWqBeuGCHfU5/M3NRVpSTpvNS65GE1wFPOQnVjEZkpYF1ZnHPedxhmqA2kSE47e9rIkPwsRmE0BBa21msDUXRGh6BnKskUIHYdIXtY2Hisw1iT63toHlVrxxi5ntDHPq9Nbq/qNZY+foRRMMmOeWRP6CRO6ARXfYVbk7abB03sQqw9EqBkB7bJ3x6VUkjfcajMKIR3LJZvjmIlVfOFkC1xyC07oAB69eHWjSsrRPKCRm418UJCkRKozGUxNzMXhocN3n+jkPuuERqko2rDRpJSeqkT4syNYJTGzTifThhHf3cvALmxVKbxtbMgjUVrJrN9WyH0T88jQhYipPeXCOaxtjHV5j9oX4yD0P2uIFuRwit2wQfmlL7cnxOuvAY+OwcF/7jKEuDGt2PQyQaUYW/zwH4d3LbkbI1tsn/a4TDv3oWoeuENscJnlxk7fYjhP/ERZYm0c6WVN2NEJSGTIJPbVG9ZpR6QlAZkEQeiFBPgciHiF2bJb+UQC/r2DGJl3TY+NE6XtUkHK0z9KuSC7/gMvrzWTZeNUT31y3cAKy81MCaNKj2QP5QFKvkITWIXSiyeW0CqUNwS43BOTSEMbeOdmoaKQRL772Sga/noOFQefkRQnedbM+FL2scWMyx/LpeKi8PM/GbLv3vqhM99AFS5z2Kg6owutrnEXlYsPhDNTJfDbJ5YZqNL3+Vxj3nuaH/B8CNMPC5IPnrdkbyQ816pn37F7VXv/rV3H///dx999384i/+4p7bXNbP8n27pH3HO/Lu278vc133sizmbVmzK2+jsVNpx3HVS9db2wjHQzi+ekjzwS+VWoUslpDFEvWJHuoTPdRuOoo8PKr21dy+aTtUfKR62Q7S8V+ZBDKTUIDf7/4r6/X28Zov11XbBKwOHf5d5h+7yakHqegle42l01wXLVdGy5XRG1Jp11ttTjv4EWOt/TLqEqMusfI2UoNA3kVzQbNdzKkVzCklc5i7ZZTcLaOKOuBKVexrK/WOZtdcs+SR+Na0cnx8+cXWeZsmwvGQyXirrwJA9aphqlcNU08HWyow0KT2tP/diItWIS5SgX25a/r0huL5O0H1srYFpSFBbNEmuuwSXXbRSzZeX1f7+pqmAqaaaL9SCWRfF8Gn5ikf66Z8rFtJMTYzS1K29P0DmzXqSUM5TP651noChLIegZNzkC8iVjcRq5vguugNj8iSIH/TqMokhEOE54tg6ATyDj2PNbBjsH1EsH1EUO4zlLRqGAKbGta2hlkUmEVBbdAmP64RzML86wIID4LbkuxVHtmrPIrDAt32qCdVJ2PhQWzBZeCeGgP31AjPFskeUzKrC68KtiLEF706LR7jyG/PE7+gIVzofkyiOeq1dSIExRKR+Qp2GEQopGQ6dR2ZjiN7M9RH0hAJI0wDYRo717LrKkqOaeygrMmtbaSunLyNlzlUegTBh6ZUEbLrthcFQL3O+GcKdD0B1R/IUXzxaLv/xrdph//LKQCcw0M4YZ38zWM4YYjedVYdv4OyV08K3JE+Kr0mtQwYw2XKQ5LGSIN6l0tuLQYhh54jm8iRKoFondpqGFkyKS9HmfyPMYKPRDjz8wNYRUnXN1cI5DzG78hTm2gQm4PSoCA3oXpsnP2pMO7bsuReUQUPzv/SMfTTs8h8Aem6SMdh8C/PIKaXEA2X8D3n0KIRtO6MyriMD+FcMYbTHSOy6hH/SgQnYmL+RYbklMf2EQ3npUXe+oP3olc1Vm9xOfT/Nuh6YIP5xW9Q/Prj1J0Sy9VJJj80zuYxoShG+/avbu95z3sAVSydy+X23Oayf5bv2562H+nft33zm/U0o4I7LOzrzjcpAwGzXQOwK7onm9ScUhlxYAyAwFOz6r2BbkShvPfxdzfQ8q3J399BLWr+PdADlWbY1Y8ixqLtOoDOrrC7zxUQlb0j+zvMbEuXepk4TlxlOMySi+YoQOVaWqug1gkLIstqv/W01Wp+VRwJoNmyxak3YQedKPmN2dYhnYiO8Jt5hbIu4bMbANTGMzvG35yP4kvHAQgvV9A6m4kJgVlQTpsTNRGe3FlYrIuWDrrUQBq0QiDNZlxag1YE2zNQTkgz8VNUEX6pi1bnYX1pA68vzeIPH1Tnfdjl2P9Yg2oNmfabvJWqCNsGKQmtVNCWN9X+h3rQ5lZ3TL8+s4IYOoBZclsKSVIXxO65sLMDqn++24eDJM/bqvYiFqF01FelqntUuw3MiqTvQYfNq9Rt344KdBsaKf8cTUlkQZ1L8pyO1CWhDYfSiEnmlENh1KDvfrVtYURRrsKrNsFNgVl2MKdWqF6pGqCJmMXw16rUuiwSd9kQDiMsB1mpqLHvERmXW9sI0yCQk+h1QWFca3XHrY826HmoD61aZ+irak1WTwwgdcH2YVNJj655VPp7SH6hXaMjLEupJDV/D51ZMb9uZux/nqb+ooNYRYvcYTW2izj7UiJrdex4AKMq0b6SYuUmiRscU8XBnY3vnqv5Y6i/6CCbV1hIA5IXXLqf2JnFArCvGiewLVl7aYyBT00Tmx+g8XiI9WsFtmYy8E2P2IOL2Af6qPR10edKVm7WOPq/s1RHEyzdbBDIqQZog3eqNb/2mgGcMDjBOJpRo5ZSqk0bL3eoDBhEp3Tqs2mSm9DzidOt+gnpZym0gT7k6jqir4fcdd0k71bUI7cvhV6uQrWB4Xnkrs5QjwuC2x7mdpXiaJB6UjD8lTL67y3wRP8RDq6cRiQTeOkoFMskvucN+rOJ9AABAABJREFUlL/8SbRYjEFnmM01QebRBvnrB5/fHO/bt2VjY2Mkk0lyuRxzc3Mkk8nv9JD27V/I9kH/vr2gdlmmBAOBdlR/dwGvz9MXvsa4M9Z9cXqsRRmQeD7FRNvyye1+BFdaBsLtAO/NYzwTUGg2dMoW2t/xm3eJlc0Wf7ZF/9nLaek8Xqe1IjQXf1Y/rh6sgdNt6UltNYvVxKSmwfZNahuzInHNJgffaxX4RhfrlAfU35qj6DnNceQPhOha6eg23EGdEq5syXmGlkotyk7w6fJFc2UfGmj9LXd3Cgb0krp2UhfoNR3DaqsPudE2LUl6gNPW9Vf7w1cIUv/2TAWYREfGYOjjM4oGVlHeQ+mlE4RWq3Q93WD7sEXyaR1MAxmIc+69CoAPf8UhfGYdd6wPPVtuXQdtwadRCT8jIAQEAzSiAs/Q0euyxZffoQjkz2n9+DD5QxInbLLysnFSZ2WrE7IwlQxmLaXhhDQiS/5560q2U6+pYt7QmqChxHOIrELi3gW8rgQ9j0XRGpLIisf69Wo99z7ioVdsdGD7WJTUqRroOlbWd/q6g0hDUOlSNRrF4QFSpwqUxoeJ3T3ZUkFSA2lfN2k7ZO5dhXqD+XeMkprxyE9ohM5brL3Eov/vz7H0zsMIL4VmQyOqsjDFMYkb1AhuSZwrxlQNCiC3c3tL0jYzcz7wDzw4SfeD0N25jZStIH/zZ2I9cg5L04gLQeTVR1l6JRiVI5R7DXo+eerZ5Tv3sNxBCycCySmP7DGd1KTA3FWIb60UqF0fojTmId8+gfCg55EyEx+vgJSUD6XBdTGeniFxIQSmQfx+G1mtEVpc49ADOlP/+QiZUw6Vbp1GQhDISeKzNqsvsTjyS5s0xrtZvTFI/1d0qhlBtResHMTmbaZ/7jgAE//9KRXFnxhuTY1cXSeYTYOU5G4ZJfGVSQq3HiF+zzRkbVI1m8LVPWSP6eQn0sQWJMUxCSKCfPFxBv/PpLoHSI/qYIRIvkLwpeNc3X0llV6NxX7J4T/bopq2WHnN857effs2rFKptCL8Q0NDe25zWT7L9+1ZbR/079sLapdjOtDtiqM3o/dGs4PuLs65/39zdkNFwKHNmW82fQpYSP9Guf0aFe1NPaAoLNpW8dLgY/dxmko+nT0Bmp16m2aZbbjeHM/ujpjNaLqhw26ZyFZX4IudjsCZPRpMSYk30KV2u7JF8pSqNygcSbQVbEoekbwauzm/SSDUC0Bx2FJ0H7/wVkfgppSjoldrijbln0f49Opzlks1zy9jrvm1E4XiRZ+LNXVNDSeFlrI6CnEFvV+ca3HAS8cyVLoNPB0leUmH7r5fH2iWfYpPs4tvQFC6YYToAzOtaxi974KiTh0YIJRVBysfSjP/ZoifEaTPKNDudsUVHSlkQTDdml+xuuXXIhigGeC41FMCtyxITtWpp9QaMLtSiM1mxbTg3O8MAh7pr0ClG6xtqHQL+h70lX0mQsqJkRCfd9H961BP6ZT7BUZZcbYrvVAfV+sismzRGOumkfSzJIag3K+1Mh3BzQZrN8YY+Id55Iko0tKhXkefW1G0og2oT/RgVnSMmqQeF2xel6A0DK51hNTXLqgdGQaNw/2YT820m3htZkEIhj92GhGPkrrPX+nVGt5AD7UMBLKQP+JiFHSMGmROQmlAOaHV3iDmpHIWRSLWqo25eIHs4Qw3HYGWIyIv+kxYJt5wL5tXaQSyED25SiPWT+O6g1gPT168z2exvrvX2bipG82ByLJk67hG7E52qG25iTBuCGTUpXC1Q3DGInsiQtfDNrWBiOrGHAkj/PtH+bph9JpH4JEpRa3SdTKnJMUhg8ypKqWhAHoDyv0mXU+7bLxqSNHc6hDYdgiveiyngvQ+XMF4eobGW49y9EOnkZ5H7ZYTrL7EZPjOigIQQqgmcYk4lW6N1d8dx6t5aK+Y4OgfbjJ3ew/dj9sM3GNTGg6QOygIbkIgJ9k+KijfdACkcvLDUznIFUhM9dGI6lTHHYa/AMuvyZA7mqf3Th0+8LyneN+ep83NzQEQiURIp9N7bnM5Psv37dltH/Tv279re8PEB9Gh/ZBvAs69AEETXO8VTfetCdSLg+r7qeZ3SpWLN+6MTHeq5zTBfrO4V9PaSj3N7QKBlnPgDKQx5jcuvf+mSs/uY17K9mogpmktKgqW2eojkHisRvWAimK7QQ3Pp/00xrtxgxq1tI7mSuh4PiSf3Gr3IWiqBTVVk6rV9nk7l57n1jjzF/czaJl/ziKbI/JIgUhTez2TUHPnF3zq9TSRdYf4nMfG1YrG5VmARpsCJNTLjnZo+dd9Z6yzm7KuY1xYJjmnzkEVP0eQOq3iZTeigLRebtBIK/qYUbIxNvx5qDdA09h+7SG6n6hR7bZoJAz0un+cTtUfTcM8E2odf+SOFZyeOOXBEOVB5dRotqQ0qOEZUBzX6b/HY/UlyoGo97igSYxtg/gM6LUAjQTkDkOlL4Qdha6nPZJ3T1NPHiC83l4bhUMe0RuGyDyWR9vKgxBsve4gsQXlOGxeFaCehuiCjhNUNRF9DzmYhXYRevnKfpyghtVU+NkFumVHDwnRnUFbXCN5LoETEsTO6xSPOuhrBrWUILQB9YSGE4Lg8REApZjTBM8d/xeGoeh4ux3xS3UZ7XQEPIkXNJE6GCWQAYvU50+rfT3fHh3Qujcs3SrJPK4RXZKIRAy3L4V2ZlZdw6kFRucMzv/cYZykQ73bwyxrzHxfEiuvFHliMwnc0Yxy0HoNNFeyffg4egO6798kulAj3nDRp5YwulSPgOhUmZnvT2LHPboeU3UDuYMWfd/YJLQRRKu5iICFtaXuSULTCN1zhvGHlFBA/s1XEJsqM317iCO/tkD/3SbJ83EC2SrauQVIJtAaUO43yL++wYH/mkVzUkqtyIHEFKxdb5B68TqLk11oVY1Df2YTXnUIhDT0hkGl2y+itzXs6H4Z4gthvb29mKZJuVzm5MmTXHnlld/pIe3bv5Dtg/59e0HtsksJOrsi+rvlN3dsuyuysVeU3o+o9z1UY7dJX9FHdBbO7gYZnof0j+0dUcBFX9hoR/qbIKXRaDkHxvQKBH3Q3HRILqWJ3klrkJK96D07bK/C3obdGrcMWXgBtU1xyGjJXoY2XdygwCqo8dpRDavgZzDKu+Z2jznYMe5/iXbvnbUS6x3qSZpG6KkF3OFuckeiiCYDy/U5/c3NbLBKHpEVdYL1lKlAuN2RlWj2VtB1ii9W1y60WqP/bg294ZI7rMB51/0b4LjY/Qlcv7Nx8OkVVm8/RNfXFsnfNIxuBBCexLU0jKqHZkv0mq+BPtiNZxkY51VRo+X7AMURQehYN6HlMonHVvGSqsg0fzROaEOCgKoj2D5q0phQ6zN4PohZhFoPbN1gI2wNQuo46TNqzTWiGs54vyrerQnSZ22csE7yrEb2KMSfqrN82yjJaQfdlmxeoX5DDb+m2ip6BPKAhGpaxzMEdryfWkqt33KvIPGNgqI17U6GdVJ/NrYQ8Si1jKARg8Fv1uh5HLauMCiNSKxtgVFTUqvbR4IkphvUX3SQpVdYTPyWKphF17GvGmflphDBbej5+zOqiVQmhVzf3Hkt1ZVvj6O55h2H5ZvDTHx8Cy9sIeqNdj7gokzBM1iHEyo1QfK0KopGCLK3DJO+a1bR1pr7tSwCW+AFNYQjqCfBiUmcuCS0pLF1VYTwukthVMcqSMySpDAuSExJVl/ZhVmWZB7cYuHdR9AcKByGwEaSRsYlNqWTOwLBTeh+sMzKrV0M/OMCm7cOkTnf4MD/PA+JODJfQMRjauyZIMUhjcQX5wmun1DiAnPLhGaXWnMtN7cY+tMs6Dpdj/bDwir2DWnSp8vom0Wc7jiaE8Z8LI3xIg2jBo3BJIHtOovXRQmvSuIzDTavCqBVDczn3x5h374NS6fTvOUtb+GOO+7g4x//+J6g/7J7lu/bc7J90L9vL6hddinB3fr7zUh/M0Lf5OF7HsUbVYv32EkfHDTrAPxInZsvoPlqHqLgg/5aXe1DiDbY36tzrz8vslxB+MXDWlNGMxJuRaU7MwLNosnQk/N4SeVQaHm/WNhx9gb9nSaEQrXfjt5ysyB4u0jlBpX+NcsSN9gs3tUxyhAp+9FtB+yIL6HZFUfYPpe9XKM+mkL68x88u3IxkO78+/mMVUrsw37twfnliz7rLIzWt0oUR2No/iXVbIgteSQeXwegcHUPdkRgnVYdXy1QTldHj4PKVYOKnlSrE9z0u94aGuG1Bo24QXLSv4alCsUb1FpqdiBG1+m5P8fKLV1Elh0M00PqAjuqozkSJ6zhhP0sSsLAyredu9SU+rs4aOCENKShQbXG1iv61blXJbUeDeGoBmSaB8FJBcwT0x7VjEb6tGT1FWBt6lh5dZ2qXRBb8Fh/pU10JcDQXSVmvjfK3BE15t57JFYRVl/TS3LKJvzEAsW3TCjgCkSXJGZFUurXiK56CAfKfYJGTMeoylYNhTSgcuMEriWI3n0JekxzHdTqBLOSRlxw4d0aE3+tOg733+ti5R20hsv86yOM/87p1lo5cD7eAuX1Fx2kPGBilqA0DLWfPKa6/wIjf+/tUQMgdx4fwPMY/mKWsz+V5OgvTe4kyD0fB7UpKzu3THg8ztZxHb2uisgbcUHgumHCMzlEtYHM5pDVKoECaLZGaEsqqdgeAZ5SnwqvuzghweBfTzL/niOUBwRuUJI/KEif8ah0aWy+RGXlCtc26PuyQaDggCvRHJelWywKx23icyGSF2zW/yhEz/tmkZ6HrFQRrsfW7VcQm29QGrJI/8NpQps94LqMfsyfh+Y5eR6ivwc2soqvbxqwukn9uoN037NOYyDB3I/20/WUUoJKnq2SPqsof6svDtHzukVemZzkwY9ez+KrAvzhD/8pxaLHz/d933Of3337Z9n111/PHXfcwdra2p6fX3bP8n17TrYP+vftBbW9mnxcFtbS5d+l8uG/76UiLT53iz/ejPyHgshcHi0YgH7VXVaafhSkQ0XHGVMcd2PZ52MHTNUVF9oNuBLxVtS+1Zyr0WgXu3ZQi0LnfGWbq0YITvpVtk1Vl73qB5rWBM66Du4eIHqv7+6QFe1o4CVlKzoudQX8i0PqGlsFiV5VH6YeW2wBXTdsIKS69Wxdn6D7K/PtAshnGnendWYsdp9X0wxjB9iX6SSi6heaHugicHKhvW2pzMgX8mxe61eyCtWPIH+Nup6Jb023C687IrRiK9/qXyBciYyGIBZGLyvQXx2IYEc1GhENz/QbX61ZBHI25X6rlRlpHO7HWsojnCCepVHpMlpzGt5wcS2hOgMDZtFVwF8TNA71q0ZVQO9Xlihe04dWrnP+Z8cJZNU4s70QXgI7BbUBm+iUSXxOzVVxSCOQh2pGEJo3seOS8Hlax0bC4Od1pJCsviTKwLfaDpnwHOopHa0hCE9uULtiiPCGS2lErf2+B2sUR4PEFzyCG3XWrw9hViA51SB73ML1l7QbhJWXGAx/taokMBsNZL1DLrfj2sqGTfrzZwnfcJDKrEl+TGAWIbxYRsyqay1ee2xnhiAaonpFP+GHZ1i6xcIsQXRZElmVFEY1ikccAqsGy28dpP+vO2hnzYWwly2t0f/NpNpC12lcOUojbhD55rl2f4Dn4qD6vyVru4EbDFHtU8eNn/epLB6qmN11QWr0fOI03uFhFl4bo3a0hnUhiN5Qv7XSgE583kFKj+qAh7Wl0fWEpDgsKA1omCXo/tIMFz4wgZYzaLxzm8Y/ZOh+OMfia5OE1yBzY5bIXJjigQi5fITC74Q48JNV8OWDM587g+jOEDhbhmiEzKeeVnPcrBESgvkPnGDkfz6lAH8yDqUypWsHiT40h9QFcmUNq1Bk/GkbGjbxrweQrktySrD1lqPEXrVO7tND3Dk4xGv+46Pk7RDv//hPIHI13Oi3EaDYt2/LNjdVcCvQpF7uMiEEGxsbvPe97+W2227jHe94xws5vH37Nm0f9O/bC2qXHehvjqcZXd79oK7Xkck4ouYQeVoV5dJsCFMstb7bjM43QbzudIDYmB/9b7itfQKqwLaVUXB3jmO3NZtyCa31fVlQAMUN9rYdEMtqZyD2Ah2dnYSfC8C+RKfeTuu6Z7XF63ciOqOfXGufU5N2FA4RXlG5+XoqgFlS59l91zLOUBfG3NrO4zWP2ZnlgDaY2lVg3Tr3Zj1AtQqxCHaPyoC4QR03oBHYVHOn1S+OUmlbBZJTaryNpIlnCIS76zgd61dkC8z++ARjfz7D2puUdKjw4rghrVUs22yqZccglFX7qI9nKPdZSB2E76RVuywKYz30fGOe1df0Ed9S46tmdFxLsHGN1uoQHFk2SczUQQiMQo3tG5MAVHoHsEoedneUgXtcchMGrgWhFRUJtoHoORPhQerxLX//XTghKI17WNsagazA9sWgrKKkltYwKxKzZGOWIJCto5VUFkts5sj+0EEQsPbaAewQDH1+lXq8FwQUJoJ03TnPzHtGGf28Ta07RP99Dsu3WESWwPCTUg0PrBLMvz5E/32DhO87f2nQLCW4kuCD57EOqx4MQqIyR74U6Njvndr5nfkVwtkChMM0ulwmfvcc3sQQjXSA5AWd9DlYekeVciDI1IeOEdyEoS9uwvzKxcdvmuuRfHiVzbcdwyxJNt9eQZwJMlA9SPDJOdWM67nU0UgJnof51AzOm48R2NLQq6qAvNKjEemKYKz59Tr+b1A7t8DYQpAzvz5E4sYNth/vRkiVnWrEdYITQxz+/022AgDxIyOce3eII39aZOs14wx/tcbKy4KUihmSNYkXMCkfsRn/O0mp1IM+c46oNYz7pRB2WOAdHEY7O9O6R7mpMAs/2ItZhO4naphPTrPyruMMfHWDrRu76Huw3j53Q0dWquhVl+JLRgEIgMocpJOqT4LrIqIRZCJCeVDg3dfD4JkafZ9d5snHr1X9QA5A5ikXvezAf7n0dO7bP9+2trZ43/vex2c+8xkAjh07tud2Qgje/e53861vfYs77rhjH/R/l9h+Vcy+vaDmeR7ec43mvhC2u8HV7qZBQuBFAniRgKLq1OqKOuM4qpNtIqaA6e7vZXOQzSFTMeUIFEro2+plH+xXBZvNhl/Npl/N1+4xdYIG225t12xQFHlkfufnHWPfk27QbPizG4x0NAK66L1mEeRu8C8lVGsElwoElwoEtu1WAzEcV2UmbIfGYAKtXEcr17FyDYytCo2URfnKXrS63d5357Gg3YOg0/Zq8iSEOvdqVb0AtvOtJmBa3cWoutR6g9R6g0rSUUrV2yAWBV3Hy8Qxt8qYW2VCKxXMkktws07svuk9j3/uP48x9vEVlm8fV8BTQj1poBp8aXiWRmjDphERNOJQGtApDehUu0yskqei97Zs9QLIPLzF+V+M0/1YEeGpYuFgzsMOC1KTikqTOe0SzHmtrEG9O4xZlphl2ZIgXfiAg2sKImseThScKBQPeKrwtKbkR7PXZ8hen2Hw8ysMfnqOrsdUx+PIitqXE4JKjyBzskLibIngQgHNlUzfFkUGTGTAVADUhp5HKvR+fpZ6F1Ao4oQEmUeyZB7Jgm1jlJV6VWwWNq42EC4URyH/qgr5V1UIbkt67t1Cr8PmFQaiGVl8pgCBlOizq4QemiL48BRuJLBjPYuervb6RYFMWShw9BcVfUjfLBB8aArPFGwfMhj6KwM75RKfVj0ZnFTYd8hlO/u363chc3m6vjrH0utchv7EJDYrWX9/lY03HURODLd/z8/FpCSQFeqaZ9V1wIPs0VBbxat5Pq6LrNaInLLIV4KMvXSeSo/ADapi8+pASGUYXVc11Ts7R+KUzvIrk+gNSaXPIj7jEVmG3EHBzNsiXH9klqVXWuQPCeRgD8bUEkZF0vePs2jlOqK/t3U98oejjP3JOfruL2I+dp6lHztO/1+dot4fJ/NP5wg8re5H0nXVfVPXCd4/SfTO01Tfu61qAnQd2SxIdxxksQSLa4z8wxbxWUnuYBCZjhP7yimSXziD1MDarGJdWN09c/v2L2x/93d/1wL873//+/mJn/iJPbfzPI9vfetbwD7V57vJ9iP9+/aCmnapjq/fKdsdjdsjOqf5hafSB9SiGb1u8vDDIUSzFqAJVn3pTzcRRl9SvPDmw9ucXtsbcD8TQGjSHTqBeXP7zqjoHnr1OywQ6JDrZCeweqYMgOe1OwLvAfybajxGwGwVQ9fG0gSn/eZThobwI8RG3YFKFa2uKj21tW0FvEGB/Es0K2sea8c1uhQwbCmt+PKUGQuj7BJ9aK51rvUTIwR8jr47rKhXmt9ATd8u4gwOE5rK75xPXz8fwMwLSlf0kLxgs/A96lY6+k8OZqGOVnMoHYjjWroC+DmN0hCkzyguux0WaI762yqqMdaGEkQf9tC319h6vQKtvY/YhNZdCmMBtAaEl3zFoXxVAcWtGoG1Ck7CH9NGmZWZDG5AEtxy8KsPSJ7SsCNQTyrVlHpCMPAZfy7qdTJfmiJ87Rh63WXreJDiCbWeC8dNMg+HMapRMg9usX5zglpPGKtg44330XeP7zzV6hz4/SkA+j43zeSHVOYj/XSa3kdqlK7qxQ0oNaSuBxt4AY3a0yFST+eAOmI9y/gfbeEN97L09gliCy7xx1aRufwl13OLAqRrGNPLyA6lKbm+efE6av7bBbmVBU0j/tWzJNJJqoe6Of7bWdZf3sPg18tqf7bDMxW6u0dH0c/OEe2q4Okhuj53ltXwMUrDEMzFYOKI6qz7TFSf5meex8gfn0L0dDF/Wy8giC1KhCupXjtG8MHzFxW4D91VYNmNM5eKYQLRZY/twxrBTaOlVNW01Hmb7cMmybsvQCqBF7aQlkGXrjHzvSFOrfaRPi3ZvBoqozFChkb8zrN4E4Pkj8YJbtqUb+ohc8dJUp99GmmZaKdnQNcZ/LOnFUVptaiojsUSIh5j8Q+TiLsTDG4VqB7tI/jAOfoiRWb+II37dIKJPziHbLSvjbAs5OIaXJcmdbZCdTihMjS6ztgdWziz88jh/ktej337l7GXv/zlaJqG53ncfffd/MZv/AYf/OAHCYfDrW0KhQI/8iM/suN7nuddfs/3fbvI9kH/vr2gJr+dotF/Tduty9+kh9h2m2ffpJc0I5C+ko7czMJwHwBeT1K9Z6ibnr66DfUGxoXlVlffFtgOBS9WAuq8We6muHQck87uon7jrx2SnLuVb2An6Ngtg9naho6UvLFzP833HXfn2PZykNa2W+MKzmxRPehr+9sStzeBHVMg1ChHCc3n29/3HSqvK4m2sf3cKUi7nYBOE6J1Pa2CQ3HYInSyeS4OgYVtiCv6j768iUzFsEe7WXmJul6ZMw7Vg12EHi+1928YOAOKw6/XwMrbOEGdrsfVJis3WSSmTcJrNpUutbbCmy6RZY/4rEe5X43HqEicoOLpt7T/gxp9927R6E8Q9gOablDDjmjoDaloPtep8cbngoSzObT5VZwDg5SGlaNlpSzMomDrCsH4Z+oEttV815NQTyt1FjcIXU9WKb5IFYI3Mxmhk0tsfM8omg2ipMaeuKDRc88m1ZEEjYEYfV838CyX0og6XvLRolLd8efHPjLE7BtDdD2uzskJCraPBInPNCgNS4QnWLcshAOZUzairq67dBxEIIC2to1RTVDt0jGO9hCaC8DK+jM7sq6HdJsV2M8TdEhJYzhNcD5P+ZACm/qZ2bYDAXs7lprG5tVhkuEDjLx/Ea8/g3t0lNS5BrWMQfTctsoWPIfj7/jn+iYj/ysHmiD/yoMk7l+gdP2Q6gFSre0oQBdTC6R7DtNI6KzdIGgkNaQuSU161F90kMCDflH0cB/r15o4EVUT4fTEmHqnSXDJIJCHxDkIPRAmetdpkv/o+XUVtqLdTC+RnF4Cx0G//nBrvLUbDhKayyF1wdaLMlR6BMMffbqlNiTzBQbfVQQ5jzQMgvflQErcNxcZESXlmAHTfzbKkZ51klaVXMPk1COHOfxnW8iQyfzrwzTePkSiq0RxOsnwpwzMp3Zl3fbtX9yuvvpq/v7v/553vetdnDlzhl/5lV/hrrvu4vOf/zzRqArO/NIv/RL/+I//uON7f/EXf8GP//iPfyeGvG/Pw/bdsn17QU1KeXkBf9fbUWxLo7GzO68QiituWRCNqFe1BtUawjIRlTqiUscLmupl6eqVibe2d8Z6VRFvIKBenlSUoE5a0G6gv5tq0xyX7bQpPz51ZoftVrvZDVguNfeWuUOJBstsFw8buno918LEJmXJNLBydaxcnUbSoNIfwiw2MIsNjIVNqDXUSwi8ZAwvGVN6737k85KAfzfl6VJmmq1XYKlAeM3Z+d1iSRVlF4qqGFfXMadW6HuwSt+DVfSah+Z4EA6rlxDgOBhreYy1PAP3VigNBtAcSfrxbdKPbxOblzRigkbcoOeBLD0PZNEcpTDjhDX0ukSvq22skkdw00FqIDUljVkaj1EctRCebPH946e2MGqqYLpJI7IjvnKQJ9ErDZygwAkKyn06TgQC25A7FiV/wiZ/wkazIbwGbggaCcnCa0KUBnVKgzor339IOaLRMN1fWwABwhMIT1Dthpm3d7H5ExWcsE7qiSy1lE54tUF4tcH6Lb1svbibyo0TlG8cxwnpRJYh/USO9BM5AnmP3q8uM3u7RnBD0Puwx8inV6kMKUWiFnUOlO77S0fIHZNsn/DYvNpk68WZdofiZzNN29v5vZR5CuBaF9YQm1nC951vFWC315q3N73Ht9KgiazXEdNL6Gfn8AyBWfKwu6Is3xxuj2f3/3ebv+btaw6w8oNHKPx1nNw7ikz/bprioK4Af+e2zVqAkkPiVA69JkidlfQ+6OFZgu3DFvZ1h9Qh17N4JkQXYO2HjmMu57A2DZwTZcRrs2xfIRXNzA9ONI4M4I4PIAb7EOEQImAh+nowHztP9WbF7y73G8ilVZhbJvPpp1Ujtd5uvKOjnPvl4yAEZ//HMeovPaqciKbaVzqJSCdb12f4Dw1Ozg/w6MoQ85+aQHNg/X8IZr83gTNW5eCfuwz82AapkxquJTj/i0ee/bru2z/bbr/9dhYWFvjzP/9z4vE43/jGN3j9619PoVDg7/7u7/iDP/iDi77zsY997Dsw0n17vrYf6d+3F9QuN21frzcFqC6zLdsV/XdnFQVET/nKLk0tf09vRaj1guKRNwGMtpqlflTJRbphtb/to0q7vfu+zXazriYI8PXd1U6ep4JN535Msx3Nj4Ta/QaazsJF+xbtz/cyXW8rAun6TpWdS0RVm0WtvV9fww0px8EqOHi6IHdYFTVnlraUehHgJSJouWJ7rLtrBp6NHrH776bSSyqmAE+fyjaYJefiMQsBkTBasaa6ygqBNdUMs7uQSlC6SlF/mt13C9f0tjrTJiZL6AtrOAcGAAhtuRSHDOywoDqkovJGxSW0VCZ/NN46rFWUqrg2preKha2iiyir4tlQQb3nGYJGfxypCcxK+9pFlqqtbJFY3aTao9ZxYBvMIiDBqEpMvzOwVVRc/uiSh1lymX+9TuxRdYxGTCP3kkGS35wFz8MNgBtT6yGyYFIe8Yh/Nk5+TCC1JKkzJebeqM4tmIWGIch8aZb8LQdYvk3Sd6dHZSRGZHKL5GMbSn3GlPQ+UkezXSgUiV3oUw3OthQtTALEoiy/xSY8GSC4IYjP28zeJgivHiT0wPlnL4ztoMo8J9M0KlcNEnpwSjn+fvS8Zc2+G52OYodT0fu3pyi96ihCaEjpIEyLpVcaOHGPY/9vntFP5xV3vTmm5nebv6Pd61rTyE+o5mj9gRrlz/XhBqH7sfIlz1uv2FTG4phFyB8QIHXMoqrdsGMGJooG1f9Ag5m36QzcLZBb2xz4S4257+slNxwkvO4XrIdDUCpjZqvU+iJoCYuZX4px9GfnkKvrnP29Yxz92bMAZD5zWjU5i4RB06gd7UevOUhNcPDvVGbs6P91hoX3X4l1cJTev1XF1XI7r+iRUlJ+xREid5/hyOMaImBBMI+XiqNtFMCqKQqWrrP6Q8fp/eQZ9L8T5D43/tyu7b79sy2dTvPud7+b48eP87rXvY57772XRCJxye1zfjf6fbu8bR/079sLapdbwU9TH74l2WnbyJhKy0sflGp+lK1+ha8+cX5V8dtNExlU24icr9rjc9vzLxsjsqy+p9cUgModiJA8b1MZT2KWVJrUnFF8/z259VLiDipVHH1xs/WeM6JkJPV8FVFUgMDLqJuxtukXDwNe2EJvAva9uvJ6HjRVxneBDxn3FYe28u3xhIIKwDWtE1z52zjjffR+Ybb1trUMjf44wpaEZnOEnvaLbHW9lWHR1rPPzuO/lIVCVI6q+Qg/ubCzCdeacuRyV6i5ST+wSuNgH3Zc3fYijy6AoeN0qWshXA89X25Rgpy+JMLziJ5cbx8vGsGzBJ6h5rJwOIo+EiayqJw4J6gRXXbxDEFxRK2N2KKDHjSpZgSGf/oaEs1Rr0q3cvbyBwUjf1NAjqbRHImVUw7l0iuCjH16E9FwlWMCiNUOJxXoelqtMduXBq11KccgFQ3TiAuciGo2VktraLZk+E6vRT+q9Av67m9Qu2KI4JkVup+oggyROVMH6oQ2LMp9gkABQqtVFl4ba3UqrqdAr6A68c7XCc4HcYKS1FcutAdn6MROmjQSLtHzRaTjMPDJ84qW0xFFX/reQSh4BLdAcyS1tE7/11W32ZAmWv0u9nQCfSfUOzSC1gTuz+YAeB6h+86Rfetx0p89ufc2nVH+PZrIRe+ehHRSFe47LnbGYWh4CwolvMFuhJGB5Z0658IyFZe9Oe6O32P358+z9fpD5D46QiJnE1rII9aze2dHpUTbKlI7HqN2RZX014JkrwKzKAhtehjl9r02P24xdGiF1WI/kcVR9DOzjHx0i83bj1GYgIXvMThyxj/XmUVCWzHqh/s58psVZENl447+53NtoYGm0++6zL9rnOE/UtKdmEYrgCAsi+GPnUGYJnMfOEFwU8nPlgZ0+v76FJFvTLbOWzoOZ/6fcfSwzeGfKrXnRErCt60ynzqG++UaI1/cL+R9oe3GG2/ka1/7Gm9729tYWFi46HMhBFJK3vWud30HRrdvz9f26T379oLa5UbvsZMB7GSA6pEeqkd6QAhEtqAKU32AIXQdoes4EfXC81oKNes3dbF+U1d7h0Ig03HiZ7cRrodwPUojIUojIfruLWCUHYyyo/SqdR9ENBoqOm8Y6iWlciqCAfS1HPparh3x1jSElOpVreMOpHEH0mi5olLBiUValAlhu1CpqpdpXEz30TSk/98O8zzEdhGxXWzTeqRU0plNilOTCtRJCQKMmVWQEq8vrSgz1RrWhTWsC2s43fH29raN0xXD6Yo9M3XjUgpEvrk9ccJPLRJ+anFn/UOzBgJI33mB9J0XoFLFOr9CbsIgN2FAKMjGa4bRyw30cgOt5kAkRPnKXspX9tJIWeq9zjGUykSW6pglD7PkkXp4HTuiKS6zB9GZMuvX6eQmNIQLwgU7pFHtDaDXQbiqONMqSuywoBFrbzfxN5uQzdOISrSGR34iQH4iQM/jDpsvzpC7vpvqSOIiwI/rETm7CQLMiodRhdA65A6HMaoSvY46tgTXUo3Tyr0GbkDghARWDi68UyM/ruRe7YiBXodKr0Wl18KsSAJ5VYewdUUU56oysUVJfN4jNekRWZMICdaZBRoJSSDvK+ZIH9R7HtU+SWi1Biu+/KSUkE7iHRpunUZ0yaP7EUHvpybp/odzaA6U+jSS35hl9R3H2jUse5m/BrXz8wjTYP3tx9X2mqbW/h5rFQDPuzTgFwIpxM5uu7vvXa6Lm46p95Nxkk+abDzYh314kNzxOJg69RsPtZR87OsO4Q33wnAfojtz0SFlrU76n84Sna0SemgK5ld2Unt2b7+5ReJClYFPWVT6BLFpQTCrKGRmoa6K7A2D/EFJ/ov9xGah3h1AHhwG16Xr06fpecTFygmyNw+0so2yVEavOoj1LGKwDzSNmf/vCaY/NgK6hkglmP/ACco3jDHyF1MIy/KdAN8Z0HU23nqY3OuPsvz2g9SvrND7uSnCy1WsgkTEomz9bQ8LP9Xu9BpcNhjq3UZk0q3fW/Wmw8S+f4ORPzrF0J+ewlvfuORc7Nu/nl133XWcPXuW9773vRd9JqUkEonw/ve//zswsn17vrYf6d+3F9TMDjB2OZjh68XbCYvgfB4Zi7Si5y1Q7tN5jGo7cub6xZw9D26rNzrT//4Da/MqFUHuvcvX+9Y0rE1VvOp1qeizTEQQuWZUywetwQ75wd0Fv4BW8cOEARN9u9L6jt2lovPmwlZ7TE2lIWhnM8qV1v61Z/P7vZ3R0lakWYg21ecZiiedkW6MLZUFMZa32tSocqWtzf/P6N2gz63tnHu4uFi5af559H89p/5dqZI7JIgtqHmrZQyCm+3vBjZ8JaFmdsN3umoZS0mTAktvVJr09WSEzElFT0qd9aj0anj+Uq+lNJwImCXwrGa2xcMqSRoxpcMf3nQpH04RemCLUEGjEdfRfUGoekInkPMwql57Te6YBA0KRcLTfgbjyQrVY/1sHzHp+vqiahgGbL0oQz0pMEtQSytHwPRPLfOQSXkA7MODhB+fY+nd/fT/rVo7+QmD6KKH3vAo9xkc/OUyZz5kkXhSnaBrgROBxvcd4sgfrkCugBzoZub70kz8uYoMHvrdGapXDmEYhgKWkTDrt/TS89nJVoG8kvrcQkoPEYtSHNIIbUpKN45SGoLZDxxj7PdPXwy8d5tp0vPJ9na1Gw5iVBzMyUU19ZcC0ZpG+ZVHidx1uv0WGux2ind/bXJW7TdkEd7wsAqCpVeE6HrapXgwTvz+OdB1Fn/0CLFFj9K1Qfq/mYe55Z3n0nTsXQ/91HMvWNVPzRDb6kZz06y9SDlziWkbcW4OhKB080ECOcEr3/kId33yRcxdBwc+EcBqdpLu1WkkJFbBZenHj5OYcYnePYkxt4bX18Xk+2Ic/qsgPY85RH53Hu/ICG7IoOtph/A3ziCB2k1HacR1EvfOqd94rkD3/ZuQzeH9RZKBd2WRros+tUT6rEPj6gnyZZeuaf/eYjuM/+5pxJ8EkZVqa15C95xtZRaey7XYt389C4fD9PX17Xjv4MGDTE1N8aY3vYlkMvmdGdi+PS/bB/379oKacylA9h2yFiDdQkXEgY3XKRpPSz/dB9lGUf3fHepqAW+xsb1zh6bZAp9dT6l9Vw51ET6puoU6QyoroBf9RlUDcYyYAmXGchusy7ACQvawci6s8yvtSKeUlA4lAQhuKKApPFThIDD61340LBho8+QvIW95UZS/9cHe74ttvxtxpzRoh1Ri87vNGglt9746awd2y5Q+n6ZhneN8pq68ne/5tBCtec0sk4H7HJZvVs5Q3wM29aRBaN1v4FWuI7b8bX3Kj0zF0G2J49dp9D1QYuWmKOlzNqIJVDYd1m80ic76dB6hAH9w2yO41cCOqX3ZEY16QqDZEJlWzqCLJH6+Qn000epYKzzwTIErNWL3zbTVcjwJ0TBeJo7UtJa0bPaWYTauh6GvOVSP9rVqBsKbLrWM0smPrErqcUE9qXZV7ZVEFwT5gyG8owc59CvrrN2inCEnBG5QsH3EQGtA6Uia2NOG6hYLDN+xTOlKVfdAroCUHk4yRCPtkXupqmtJPrBCcLmI7M1QOpAge0xX+E3XFJe8UiVz5wzrb5yg5x+ybN806GcmBMGNOhOfdll7aWzvNbCL7tMJGvE8Qk8tKJ3+5+BcGpUOR9bzkHRQ4FoH2Pu3JLbyBLdiLN5qodmwdUyn+wmb0o2jWHmbvgcr6KdniR0YQlTtFj3mon0/n46+/jkWj2UwKi6xWYlZkdRTJs3wimcIqr0eX7j7egI69N6jU+nRCMSiyGKJnk+cxnzzMfLjBoN/cYbyzYeo3HwYK29jPDXN2D8cwolY1BM63quPEp0tYU2tYQUsleFyXYL3nSWoacz8pxNtx2xlHZFJkfkxtbbnPnCcekZy5E82MB+fYuIndM7+16PEv6r5lCdb6fV33BM2fvBKuj/+lLonysuLGvrv0YrFYuvv0dHR1t+33Xbbd2I4+/Zt2D7o37d/1yYNHeF30W12ve3+0qz6d0SB6Bbn25PYcbWNZftFlH4kXcYjCF/jvSnbqVVVqNYIGe1swbYfWi1X8XpTWNlaK3pbvkoVgwbXqy3pO2vWB/BCtLID2to2gS01NjeofsKeKUhPqjEVbxgi9uiSog11AofnC6b3Ah2a1pY1bfKR94r0N8FMMIA9rGgM5u7GOntQLb4teya9fri4lqHD8bRyNpqtzid3yGTg76cVfakzui8lXrdf8L2eJaRpeGG1DopjYQa/ukX+RAqzoo4jBQx/2WHtxWaL+67ZklpSwwkFCOTV3Fh5F70mKffpFI4mAYisrqIXGyQfXmvXSWSiipIhoHzDGJGHZ9VOAyYIjenvT5CclISyynmUGhz4RAWt4eBGLNavD7VqCayCaj7l6SrSn55Uzmth1MIJoZSFooLFN/Qw9Km51jWZ+ulxUmeVo7D0Cp2Dnyyhz65y4ff7uHBLnJ6/U9QlggFEKIh5doHuRw6xfl1znnsIP6yi12I8TjAL9ThUrhujPGAgmiq0tuTMhw8w8fc2lZ4AsYUGxtIWsliif2qn89b8u6mX31KIMQ3O/OYYR3/2PJgGsnktO/jme5rnEXhgEkxDFefuVvF6lh4RslQmeGqJA4/WmP3/HMMqQLXHILxqM/UjOsf/RwEJ1LtChC5UdsqC7rbdUp6eh3iGjFppQCd5wSN1pqJ6OCyutPYRWSgTWYhhx6CRgHpRIKQg/9Jh4mdzICWpL5yl9iPHEKEQgWwD4+kZNr7/BEkxQfDB84hMCjvWQ2HUIHbnArL5+zYUbVD4fTaGv1Zh+S/7GfgP6vheMoJWKiNdl+E7S2xeHUWutileR39F8fplbwYWOgroDQNcl8xTxfa5C8Edi3906Tnbt391+7mf+zmKxSLZbJaDBw/yW7/1W1iWxRvf+Mbv9ND27TnaPqd/315Q03X9slHw+Z6X/le8eLANcP2Ou/aBPuwDfUpXv15HL9XxTA03oCOFAnVuNIAbDahoejCAyKoGNNWjfay9JMHaSxLUeyPUeyPoVactr9ns6islXsDACxitTrXCkYRWKghX0khaNJJWW/6yw+zxHvSag15zsLJVrGyVQLaOUXYxyi6BrN3mtTfPTUq8/gxef0aNuUVDar52WRPU7ObUe55SLLLtndSh3dbkTzdszAurCvA3QU6nHOdzld+8VBfezvE+2346ZROFgHAI88IqoXXFga9lwOvPUD6S2dm1WNfRihW0YgWEwE6HWXlZlNJIGOGBnYkQ2HYILZYILZYUCJJQG3AIb7qEN13MisQqeVhFj/BUjvBUDrPkKKWeTY/ioEZxUIN4jI2XJFn9nn5y13eTv7qb8lAIM2+rbq2rVdzRXqpXj1A93o+MBAivQv6QYP1aQ3H1LYE0NbaujlPLWAiX1rr1TOUUOCGB48vIB5YVFcMqSoyqpP/uTaQB5WsGFVA2Daw8ZI8LUudtuh+HuTdGIWDhTUfxpqOsvFSjntShVsdLhPEGekg/liV5TjDyVRvNlYrfH4sSPbMFEsIbklqXgVmWxGfqxGdUk7D4OZ3ZN1sM3JUlf8BSReVex/XtXJtA7miYxrUHOtaoJPakpbIITY45XAz4L7VebKcN+Ju/j85j72VNxahiCVyPsd87TWTVJf1EDqkLjv+XBQpXdIGUhB6bQa5t7MxOPIvDuxvwi1BQdbb156Dvb05h5eqKMre8s/mfNjlP8oKLcMDpbRCfdwhmPZbf5FDrj1IdTSCH+9FsIBrGPL+Md3SU7s+cwdwoq4zH1jbRey+QPG+3lIhEIIBIJrjwC1eCZSFrNfRTM6T/KAr9PRRffZTVmxJIv3GhvrhJ7+emWH/7CZ/3r3H2I4eovPyIAvy6AvYiEVfAX0qmfjCK0DTVEVg3Lptnx79XGx4e5o//+I+5+uqr+Z3f+R0APvjBDxKPx5/lm/t2udh+pH/fXlC73NR7gDZ49ccmbL8Q0Y8Q1o/0odfUZ57lP3wrCkBsX99NfKoEiRChuRwAoaf8FKgQ2Af68Cwd3VQ/tdqoihhvnbAY+JqiwGxfqyLhoY0OPvmm4h17fekWbaPF5RcCz+fW2/EAbkiNKXJGKfxUDmWw9gAnO2RJW9ax3aUoBXsppYCKmD+bjOKOAfhz1/ng3ms9+NSKi6z5vWdaQ3udw6X+XSiCrhPadCkN6gQ3oXA4RvKBlZ3f0TRkSEX2V98wQNeTFUKbEr2uxmiul6gdSxGaV+BGa3jUUzpH/yCH60u4Gqs5vHQUbTXbknk1szm6z0Hj6BCJ+1aQmQROwKDnvixLt/dTT2hEVtU4qt0hwuselaEwjZiG9KciNO3Q9USV9ReFsPKq8RbA/PeE0BrQSOhoNsQX1NqqJ3TKPaopmPCgOGRiR9SaNMuSwLaNaLj0PlJj+WVB6gnVwCs55bH0Ksn2IZPkBRv7OoPtm4dJnVXjs8NC0ZECFtPfF2f4q3UCp+bp+WqlRZtDaFAsIaVHYiaFVnepZyycoMBazuOFA3j93fTdV2Tp1hh2OowbULQZ59go+pm51jVudreW0iN5toKxXW6tZOm6DP7VGeyrxjGfmG5no3avqedUS9KRXejcx+7v7naMgdhdkwjLxD0QxxntJf7wIpJdNQXPkcazO9Ivm8GDjv1oVbu9713jid49SWHkOFVXtJrB9d5pMnubR/SCjjmSpO8fZnH+j8bMwwdInYHMedrKQyP9zL0pTWgTQv443IOD6DMrDN3VgEoFITQWf+wYQ5+YRlZrxNY2iKdTSEBkUqq/iePS8/enKb/yKNH7p8ERRB5foH7dQVZfGmDko2eQhWKL+nTkD1dUMfXKGhiX6fPj34mVSiU+8pGP8Kd/+qdsbalnydvf/nY+/OEPf4dHtm/Px/ZB/769oCb+GUWb/9LmmX73XB9A1CYU397aVg9OEY/TGMug2R61Lp/Wk9sZLYws1trFtM0HbrMrZSbRkuRsTChZyeC0AubdTprqkIqOpJ7IAlA6mKRyQvGWo0vtOoK1l3cD0PvleQDKR9MEfDnH4LnVdqdgPyNQGDVBqu+En1psF/B20n2aXYLLjUtHMfcC9Lv4+dKnvYjN3HPnIHds50z0q/Oc9oudnyGSV71C8cOdsE7s/pn2GC81vudgzngfofU6UldoOfHQ0k4wBRAKIoNqDqUO9UyAYNalEVPXuTaSQOqC7Iu6SN+/SvjcJuFKFZmM44YMAqdVMau2VMUd7t2h658/GCI+XcUZ7cGYXUN4DQgE6H3Ypjhk0og3rwHUkhrhDYd6UtUBANTG07hBjWBWkj8g8Cx1/lZOIByIrHjkDmlkA+pWH59TUVrNURF/zxQURtWc63UwSzrbr+ql97NTjOS72LomQTCnQOzA3QLP9Kh2G0TnBI0oVNWyxrUgPiPZes0YXU96So/fsqBSxT6qFHrMqRVo2AihEXxsBm+ol81rQkRWPMpHM4TvPa/mSWiMzGoQCjJ4WjkMeqEKmkDE41AugyeRg+rg+UNhYvM65sZWu9Ge62E+foHld59g4O5tRKGCzOVbRaF7mv+7XfnRE/T/1Sl/u4vBfMv2opU132tx8y2CG/WLu/x2bs/FkfwmyBehoOqM60fLQQHo8pX9hGdysLimnKBwiGpfBCs0gjY5D0P9eLGA+ts/zuDnV3AD/axfr2heyXM2wWWT6nVVGlMhME0WvjFIz2kP+Z4Nztx0iMGvasS/NolYz9J/fxjND4gUXnuM+FdVEa9wJbLeYPqDJzjwP8+Rfd0hUo9uUTiRpjygEVvoJj+uM/SXk1SvHye4XGTtep3gxiDHPnwBPIn15DQDzhhCaOTeeILEU1nVCb2hah+EZSKc+mX1/Pj3ZP/0T//ET/7kT7K0tARAb28vH/7wh/nhH/5hVZy/b981tn+19u3frdXTCsiZCwpgmwU/or6apX64H+IBpK/H3tS8dqIKIDWiqkwuPl1pg/2mNR/kdbtVuGtN++D/QC/SL8Q0/GxBEzgEsg1ijym+q9uvCni3j0cJbqsH7cx/GGH8rxaIPd6h+mFZ1Mb87MFxdT6BvFTSok2z24ChffKNi9/rBNAdhbrVq4YJbFRac9MJrFuFzIFAu5NxJ/BOxCDfLv7abcbc+s43LhX5F4LApgKARsSidqVqdBZ8ev75FT02x+fPubFVwk2ESNyvgLnXk0Qr1iBfaG9frSEzUTaviqJXFchZv94g5AdBPUOgOZLisCB5WnFmNEOnOprAqLlUr1EFb0bFwZxaIfvaA6TvVlHrzLJJYzTD2o1BImNjuHaNyvcV6Ptjh/xhg8iCILjtF+Ku2dQySk7TtTqmzNIQHgSyUE+r8xIu9D1coxE3GPpalfyhMFZBrSOrCHYEMqfU9WrWlLgBQXC1TPZYkpn/eBCtDoPfrLD6EnVOQ59dVl2M/Wuy9T0HSFyQ5A5qaDYUxgX1AZueewzyB0JwYITIqoNRtimOhmBknOKwYPTPp1RB9Vae8kASqWkkZiRCdESyHad9LICVDYTQmPkPgzSSkuCGYPRvFQBZvylO+pFSG/B3rIWB/3OGhfccI7SZpDwwSGJGkvyntjrPDiDvrwmr2PEb2L0cLxXt30U5ar1drmCeWUDqexTt7jIx2Ke63NJ2AnZE7psUolwBqfUz/UNdjH0ugBsxMYp1isMW6YL6rdcH42ydsBi8YNA4MYLW8NDPzjHyv9S69oZ6qY5EiS5KikYIJySZf/sgyZesE3lFjdXPjyBO2Bg1j43bjhHIe8TvmkSEQkhAcyULP3mC4T85xfLLA4yfDXHgj2eoXjdO6vNn1DGuzdD/l6cQ3RliD9UgEaPWZWJUQhz4P2tQqXLu/zrE4d+aQqBhnp6nev04ia9Okn3zUTL3u8itLPk3HKOe0Eh//IlnnL99+9exP//zP+e9730vnucxPj7Ob//2b/OWt7yFarX6nR7avn0btg/69+0FtctJoz96SgHsxpiKijc7scpMAs1RD3bDB5qirB6+5RMquhibq+EGdJywie4XAF/UUbZcxfB5xDKtovrmZonyQQXSrbx6QFfG4kROb2BV6q3ut27IwFot0vVAla0bleOQvNCeu/oBpZaydUWA2KICE/3fzOEkVMRaOM9CQwgG2rQLywDNVFG1pnV03A1NbbYBld99EyB4eqkNsOod0XGfr1s7rOTdgoXSpUG567b5/8/Ea3Zd5XAAmpRKmUSInd1N4XlH+tnOo2/nWxmG7FVxhBsn85Viq7Abx0XfLCJks4mXJHPSozSoEV5XY47OVVl9nQlfUsfPXdNFZKmmahkSKnuz8KZuuHGCgXtKrfUg1rMITxJb8Ni8UsOtaQTuSWJNr8FoF8a5CMJfE1IXmGUPO6wi9QClAZOur8yw/qYJNTcNxdu3o7B1PEj/Z6bZfuUYgbyH9KcoMVPHWi0iAyb1rhCrN5qMfFE5ZtmrE3Q/Xmf7SAA3oLIBzSLgJgj3hnvRVrZInilRGo8wdLdyCCv9QQLflGh2ncJ4AOH5js7MOtqgctISs5LJX5jg8MeyiNUtYrP441bz2PAb4CFUlsuOB7CenAZP4h4coDpsEz9lEl6XlK/oxSw5HPiETeloiuiuJlhqsJLhjymQ3wVK+Wi3c9s0/72uuxYUqcfzFM9cSkVNEgLv4DDa+fm9qUKXoJHJzgzbXtt1/EZFJKy6+HY6PChJzHpKJ/FPp8B1idx9hgMPBLEPD7L0yiDOMZfMP0q0hoMwDYKPz2CNHIbuNI2kSfTkOt7EIPPfkyC6JFl/TYNjH5olYpps/6cRhq9dpvEn/dTyPUzdXMO6qciJrk1OvWmYY7+zDpvbbL71KJkHt6BUJnqhgHDVuh77vVNgGGTfcJjK9+cZOhNFlsqk7pyCTAqZ3YahPrBdko9vIXIFZHcKezBB34MS2aMCHKLaIPToDCs/dIx6GjL3elRffJCVl0uO/focTih0WT0//q1boVDgF37hF/ijP1LF0+95z3v4/d//fUIhXzBg/1p8V9o+6N+3F9Quq0KspkLOnOInyngUL6aoMk1ajkwqoNdUfLG2falO18NarzzDvv0HuR9RF/XOKLgC/bWMTxnKO21FGUtlEOopEzx17ORpBQBKYxEKL1IUl+KwT02qQTWt5tTT40Tny/74dhU97rZm4yJ0sD0Uybtju04QXm/sADnB00vt7fYC234RbLMHQvn6YSKPzO/8vHmMzuPsBfz3AGWd3UAvsmcD/3tRmYRAdqeo90aILtm4AY3aVSMEzykQaU/0Ig2N+Jy6hoHVEuXxOEZFa2Vtlm+OQMWlPKqAUPJbbTWZppPX/WSDwFoJUawy9w51HUf/IkdxNIjmSLyAJLys9jf5wWEOfyRP/niodYxGTMcsubhB9W/NVqAcTUOvS+xBgXBVUTJAerJO5ZphUndNg2Fw7mcUoLbyAZJTJnZY0P2lGWID49T61IM8f1Bglk0S0w0CWzVEpUHqrFpf7ng/+uwqm9cl6PlqAS9kEFpvtNSqaikNMAit1YlP16h1BzDnNihfN0TSz2BN/mqc2P0hSodSxFa36PvMFCvff5DSoIm86QCRh2bVJR7qYfIDQfq/bBAIh6FaQ6vWGfxShNxBKI4KvGW95SzEnlpvS3Lu7tuw69+itwu5trljDZRedZTYQwvIUhmZLyK6M8iNLZAunRSf7SuiZKbE3mv12WpihgdwU2H0Uh1mFnf+NjUNubaJiISpH+5HczyMp9pa/aHJdUIBE9l0cgFZb9BIWgQ3IfgPYVZv9ojPmGjhEDJfpPsfz3P+Px+m/34HGQkippfwzATrr26gbVrMvk9lcw7/4QKTH+lC3CgQUhKcDDL6uQprLxrDeF2F1Vt76LsjT3jVwYsElPrH3DLRene7jqLRIP3Fc6S+4DH/nmP0PVxj+eYgo39wGjRB8WCc2F2TeAeHqRwZJbRawwnpBDfqiEpd9ZKoVKleP47wYOQfc1CtEbr/PEcXepl/xyh9X9m4vJ4f/4bNcRxe+9rX8tBDDwGqWPc3f/M3d9Cr9q/Fd6ftg/59e0HtcirEcroVQKunLUIrCsDrC76cnLWriZjPlzdn1lWnWUA0/HNpRvibBcG1ekvDfIf5jcmaQEWv+vzr7RpunwKG+prStI49vkrpahUpl75zICREZ1REVq9HKA2qn2/qnArFNhIm+rKKhstEBFHyO/F20h78gmI3GUYvVwFP7bjTmnzkprkuhZvGiD8wz0V2ieh84aaxFv83+uQKsiupzmErv7Ogtxnpb1rn350qP5qG7E61Mi4tSU2AWFRlLXb3DdhtFxUkN6O9INa2CNaVkyINDS8SaF0vO2piluxWrYedDmPlHYSE0oDfEGtNAjoLb7LRqjq8apTorEYgJ6l2qwdldEniGTEQsRYw93rSRBfr5McDBDcE9ZgaU+KsxtxbUsTnJImzyunTynVWb+0imFOymlZRnWf5uqFWZ91qL/Q86lM8kibxx1chHqN4RRdWXo3DjkGlVyO04eGO9KA5UPMdx5EvV1l4dYiJP10C08DtTbL6kgBdTzs4kRCROUEjBitvHsYzYeDLm5QPpwjPF+l+uIZWrDF/ex/1NJhFyB0YUXUQiR6kgK4vQbkfyv061duO0POZSfo/M0PuFuWQOBP9bF2l+gNET4Edllz4iVEO/MF5RM1m60qN1KTEDgnCa05L6tOLhto9FcAvvBV4h4bRV7eROUVrWfrRY3Q/XWfjjT0M/dVkS3oyevckdKURUiLLFQX4gdqLJgg+NgMShGWS+cxpXxXo+Uc5q2MJ3KBGCDAGepHLawi/tkbW6iz85HGGP3aGwMk5nAODbL/lOKnPn2HztmNYRUnivjlEOolc32w5C3rNI/+SGrmcRXBNp56x0E+re0Tl+nGCm2qNekaC2MIqI18sMv+GGJ4JRgkyZ2zOfLiHzF0BKn2qYLuWEsx/WKey4hF9OEKlH87+9jDg0v3VKJn1GJSrrN/cQ/cn/eyK5kucaho9TzQwH7/A6KOqD8fGbccw6mq+zr8rwpEPT9K4doLwk4uc+bVBRu7oIXJ6gzP/bRhj0+DQn62B7eD1Z3DDJubpeWo9aebeELusnh//lu33fu/3eOihh0gmk3z605/mVa961UXb7F+L707bB/379u/WPFPDKNQILTXQ1nPqzSbo9AG8KPrR/CZgNHS0te2d7zW7zF6q0ydANNzS3jfKftZgcbsNPJu8ex8E1MZSRGYUUKn1R1u7caLKAQjPFzGqimtdHPEpPRKCfqdgfXGzfS7NrIMULRqLvrSl6CuehGq93fjrEjfy+MnNnef7TOcKqgtpMypkmq2mXl5fWqkICXFJcN5yEDZzOxp2ic1cq3fCjkhrsQTxmFLj6fzs2QqTO5qdYZqwrRwuAeg5s3VNQnMG9aE45rklCAawtguUrx4gcn4b4aixGlUXvWGBZlJX/ht2BDRHENiGSj/kDwiEq2MVPWILDUKTCjBt/lcP8zMBjCpYPn+/cKWi1aQf2aTRq5xTOxXAKkmcAJiV9rlFHpql+voD2BEBUhXngnIQZTiAKNWodOv031en1qUcGc8U5Cc0ql1RMifr1FMGm1fp5CdCBLdg/kfGiS14RJYbBHKQO+A7N48bDH1ihrU3jxNe8xDVOtEHZsi9UtGLogsWRgXq15URT0VITrnUExq1pCA+r9Z9MAeRB2dwDqpsh6zVSN6zANUajStG6f0HP8LtOKBpdMeiLL7zEEN/O0VwQ/U8ICQIT26Qv66P+F2THYunI5Pjwca1UXoedKhd0U9ovkBkXVIcsghmJY0rRjGfnG5t3wT6AMIwkK7L8itMxrP9MLOBrDcQAQu5K/N10Rq7RJYpdM9ZGB2gOprAiSQJLK8hK1XcKw+gl+pYeZDjgzghg7UbwwgXUprArEjCa0pK2MjXYMNfx55H8Kk5er94kEZMUMvA5gmDkW/5x1ssUHl9ivSTgtwBnejMAPrMMuO+1H3+1kMgJbGnAmi3b+A93E0jptF7zxaTx1JoUjmIRgkaWQtpSsq3FYjNdmOenCW2aLd/n80sSiqpeh0AorcbuZklfbqMfnqWCz9/gqMfmUICc+91OfzTDY7+TpnsbziUP93PsV+cQvaksfviGKdm0YolRF+G8ksPcPg3zrH90qG953zf/kXtE5/4BB/60IcA+O///b/vCfj37bvX9kH/vr2gdrlU+r9h+Gew4NKyfbul73S93ZTK3VUY2+TGd3ap7Yz6A5QqCD9ybOTVfsoneog8uXzxvkyT4PmNFlgXbgQzp/YjfalOkSti+mML+jKidkRvyXuqjf2xuLL9d3M8oSDYNsJzFV+5E+zvRZEplNrvV2s4o6q2wZhbv4gqc9F3Gw3VJCkRRTieyho86qv12PZFxZStrr+A16sQtFasqeh+M8K/G3T58psXHftStqvB047uwI6jxtUsyN7aRutW0eemElJwvUbxaJrYg3Ot8VjTFsIdotznU6/qUByD/vscQlvqPeFJto4ZJGY96i9RoNf8jAJ2wgMrq45Zqagajupoku1DZovDb1Yk9aTALEHAbp9nbLGBbltojmD7kEF8zqM4ESOQdwjOOugNiRtoZ1E8A8KrsPXyBgOfWSX3hlFGP6/mffM61cipntBIPlUiPqtTy6g1W7xBKfH0fn4Gd7gbHIeldxykcFQNsPdbIeILLrXJCEYFtq7QSZ3zCG+46DV1zeyoTv4VB9i6QmMgMk7g0QsQCbF8+yj5wy7R2QlCm+rcGjFFWep5tMry2w8iXDBqHolvXGD19kPkjnlYhQMEH5ra8zJH1lzsZIhaSscJJkl9Y47S9UNotkSvOYiAReU6lWUIn1lvKfxIqcaamtSo9Ucx57eUYlDD3vOeISwLDF11A34mms/yOmHbVfvy3zaWt5G5PN0hk1p3iOBGlfKQJDYjqN1wkNiFMmigz64qPfymU6tpyIZN6qE1yBeoXzGKG1BKNwCsbDLyhRihR2eY/akjXHh7kshSkoHPzCKrVeJnsmzdkCG4Jck/3k1jvI4bsuj53BaH/sZi9i0x3AAM31mh/P8UqXyhF/dCgkq/h/yFDPFfrSNSSeR2jurLDmPmG2i2h64J5MYWcjMLmsCYVrKbo1+s+rQ8D8/RIBalcCRB5mc2kFtnIByGpTXMZY0z/+Mgx355CbGZI1KsMPe+I/Tfmb1snh//Vu2zn/0s73znO/E8j/e97328733vu+S2+9fiu9P2r9q+vaBm76Uk850wwwd4PoiTvqShyKrouowrkOeFrRY/vhXh98F7KzpvWW2Q2JTCbILojveagF3LK+AaeSzXdg60Du375n79SLRZbLTAfLU3qYa/aiAaCmgZFRcnamBWPbyQ2p++XdwJwDszGJWqcmo0Dc9zQRfo3iW48Jq25/vGbEfRZEemY+nt4wAMfnKG6pVDhJ5e9M/LbanExE9u4qVV9kIr16FU2QnAOxyQHb0FPK9d9Lee3TlO09zpuHRwny/i/+/urgo7uvTuaOLlm3V2EXSd4pWq6Ft4YJZdGocH1GcA9QaBbQfNVte53K/T+5CLcCSe7zPYYY1AHhpRQeqMyiJ5lka1J0DyXIXF69V899/fQK+7lAcCdD1VpTSs5rgRE9RTENqUSA1SX7sAQGAxT3GoG6sg8UzRkvr0TANkinpC4ARNAgU1z6F1h1qXQewJC2ekG8+C6oBap8FtDzegYVSl4nA7Eilo0Yk8U82fni0z9f5RDv7RHF2H+vzid5vZD3jE74rQiCmJ0/y4hl7T6Hm8xuKt6jy6H3eJLKo6haBhMHd7D5EVSfppHTyl+w/Qf+cmYmubjTcdJLLqYUcEWqO9FsNLl+gv2XSIN+rU0xalfkH/AzVkMkrkQo7qWBJ9fh1nvJ/wIzMUbz5A8do+Qmsp9NOzeIeG0SbnSX1xkvwrD1C/7gDBp+ZajaY6M00iHGLmJw4S3FJNsprNq/YE/g0btvNqP/4alFt+gfrkPOHuDGRzBLJxIiseZr6BXqopil4oqGhKHU3u3BMTlIdCBLdSeJaG5krlGKTjZK9JUukRDD2ittcOligMGnjmGD2PVjFPzqI5GWppgRQQezJAz6M1pj9wmOAWjN+RozYQpdIXpPC1MG4Khr9cppGyMH8tytTbQxz+Sxu2c4QWioildRb/wxFCGxHSn9kE16V24xHcoEZ4rqSK2uOKipf6ZhDqdbLHNDI/XWbtz46S+coFhNBY+/4jjN7hgJQ0jg6x9cEKoz9+DtuQl8/z49+gffGLX+Ttb387ruvyrne9i49+9KPPKJG6fy2+O20f9O/bC2qXjc5yU1UnFt75fjO669N69O1iG8g3H+LNm51/Lm5PHFFXoFLzJSylr9giXLeVNRCdCmea6CimpS2hGbDa0Xg/kqKv5VvHDK6YLSBsD6kouLlewpoq7RwjtOkrttN+33Hb51OpIqRUmYDmZdkNljsBcDOCWK3tBMwdVJ/BT0yTu2WM3MtHCa82qJ1Q0ezgyUW0DUWfkbEIWrbUGmPjYB9G0ZdLbTpWndYR1W+B/VgUGg1kUs2zF1Jj0xdVHwRnuBtjZuXi+oTWjr6Ndeh5OMEOeUsp0XSBFWrOZ4Xg+TXERA/FEQujIrHyDnrVodqj1llTfrWa0XFD6vpuXhVAb0Bs2iGQD+CZkDtoYVQlwZyHXnNaINgJQWQZ7Iig744p6ieUKo5naSSma5QHA+gFj3rcV17adDALdVXwuQFaQ1Lt1qgnTILbHj2P1SiNBHEtKA0aOL4PGl3x8ExBcTyCUZOE1+xWg7rCeJClH5yg+4kaB/52i+2XD1MY1TDLSio0+k0F9t2gKjTXq5Ccdph+D4TOQOKChxsQuEEU7WS2h74H6ggp2T4cJDVZxQ3qrLzMYuaHupj4n1t0PbTFyqu7iC24lPsNtMYIfX8/ycZbDxOa2VaKN7tVnITAODmLmU7SiPVjRwy2D3fhmZA5VUXW6xibRZZ/8DDpSfX700/PAqCdVxKucqSP7PdWqT4dYfjpDiCvt0G/TCcJ5CF9pq5oQY7zjEpUstJxI+h0PqVs8fW7n3TQqx7FiTCxWYExv9FW9OmoezFWsiQWPebfMcrIHSuc/vluxu4YAAGVHkF0SY1j9I/OkH3TUeo/sE1hzMINhugJHSS45VDtMkmek5hlibWUww32UbihRmk4weHfmUHW62z9zDEaEzW2liO4QYis6AS3BHY6hDkH6y9O0UikGP4/U6pxmN/MzMo30B6cQ0TCyFoNajWKrz7K9hUeuj3O+F8tMVucYPDJbeZ/9CDpSYfeT00iB3uQlSrmk9P0/QcB6RQin718nh//xuz8+fPcfvvt2LbND/zAD/C///f/RtMu4VD7tn8tvjvtma/qvu3bv7Dpun55VP1bFlgWIldSr2xBRfnDIQiHkNEQMhFFZhIqMl6pIpPRtpoPgGVij3XjWTpeyFTA01ekEcUyIl9sA24pFaBvykB6EjyJFw3gRQPtfdYbNA700jjQq8BqvQG2jdeVxOtKKlDcVL3xdcFFUxJzd2TRdlrHl11J9Qr5evqNhg82NPVq7q9Tb1wI5XgYBl5vitwNfWo8ux8Gu27+yW/NkfzWHJtXBykOmRSH1LzUjvVTO9avxhu0kLEQMhzAXC8hTR1p6sy/c+zia9U8387jFkug6YjNHGIzh1aq4Vk6MpNAZhIYG4WL9/NMJoRqmKXrrZc73r9Te13TiC7WkZpqjlVL6WxeaVK8to/itX14Qz1QqxOYz5I6UyJ1poSZrbL60ghOUJA4VyG0WiN7TMcNwNaVARoJg/icS9/nZtg+ESe0LbHKYJUkXQ9sYIcF5eEI6TMVIusuyWmX5FSD8LoPcP3LV0/peJZG8huzSE0QyrqEsi5SE3gBg1qXRyMJwW0bsyQxS5JKl4Z1dpHkE1sYVZW9iKx5RNaULGh0voYdFizfrLFyk8XMT8DSK0IURwRGWUmClg4m8QxBeE1S6wI3oF6ps3XCa4CEoU/NUe4zmPhffi+BpEY9qYEE3YbKcJStKwMsvCZIalKp/uQOWfQ+7ND7sAOGjljdIrKinIXIso1ec5DSo/vz55l+Zy9r339EOdLNl6616HEyHCD9pXPU0wZSh+iygx0xFMUmu62kRYs2gYd9ipAmWH3HMdUMbH6V2F0xUlNuOysHOyRsWVnHLEqszbL6TsC6+DdyiTXXubY6rdKls36tRXilgTGpVIUY6MW+9gBbtx2n8vIj6tzyRdA14gueor5pkrk36dzwkUdVCU8DRFBlV9KPZwmZDq98yUkOveEC69ebbF5lMvi356knBfG7JpHZbVJnJZoh0euCyjXDVF52CKMEvV+w6L1jkq63LbB5lUbigke1ywIhsGPKwatc60uumgYiGkE7PaPGWSype5EnWb7N5ugfbSI1cLvi9N9bZOOGFD2PNygOGSz+6BGwOzKltoPc2GL6Awcuj2fHv0H79V//dWq1Grfeeit/8zd/85yoO5fNs3zfnpftR/r37QW1y6biv9lIKubzLsoq+iYtE1GuIGy7pdjTKlIr7WpG4kmE01SA2UWPCQYu6uwqwwo0VA93Ue5TP73ur/ic8GgYN6Eixta6H9FzvVa0vknlQcoWNck6v3Lxee2mFfhgQuT9fQptVzS0I3LZbI4kPWQzG2CqyL+oNUiczrX3HY9C0efXG3orc9JpA5+awfM79iIEgTW1vT3eg3Aldlw5QKGnF9H9Bl4jH8/upPjoekd0Vd/5mdY+V5Ev4wwlMHL+tqXyc+L2y0yqdZ71TADhKvrO1DuixKcE/bMdGwcCSiu/4tNcdIFVFDghNW/FiRjxqo0XCbQoYdLU6Xq6wfYRi/whFe3vfbhBYdQiebKKHVcZCne4G6vkUQsqrrcU0OiLY0c0Ug8u48XCRLZU9qk+FKee1PAGuigOWUq2E6DbJOC6xL91oT1f/v+PfcRl5bYJSoMWdlgQWXWxmqUTrkd0xcWOaAS2XZyIjt6QGMU6hYkQVh6sPNS7LQJ+IkZIJRmqNVVsBNgxidZQa2vtRQEGvqVA8OZrRnCDMPtGldEI+gJZeh30ssQsOZQHdCLHs6wW00RWJNEll0q3jm5D/bUHSN+zTOK+eajVFd++2btgqJtADoQD5ZsPEb1XnfvcTxxBsyE+q5pKecP92CGB8CD6wAyEw74Wv6T/M9OtJljCXw9GRVJ85WGM1QLdX5lFb3gqu9S8F/R1I1d8CSYpSZ6vUuuPErAMtJUt6leNEnhwjwJjaP9G/fe84+OURiIE8g6Bh/yuxA5EVyTW4xeQQPVlh8keNogteJhlST2pE+nrRm5sMfkzQ4SXBfpN4/R9XaPSLfj8xktIvXqNrXAv8SeCCNdl+gcyBL4Edx/swuqrMPqaeebuG1FF0n81ifQkaAI7IvA2Alh11d271gWZky7Rb55DAsYHY4i3QT2uEV1VQYXBvziDSKeQAQMRDlG7Ygit4SG8Xownplq/49KtRzj6QeUIZE900/Vp1VyvZy0GtkPfI1VEMqFUxjIpFWypVMHzGP+tk7g/e5k8P/6N2WOPPQbAz/zMz2A26avPYpfNs3zfnpftg/59e0HtcksJStMvjPU8CIcQdodeffOmFvcpJHEFhMvDEaWtD1g+EBObObVt67sXq8eIbIGN16lIWJPmIVM+DahSbxfhNsG0lGD50UW9g2bjPQOYvUiW0geoPUmAVoOrljX5+JrVBu5O+2Ze74m0QKXwQA6o8VrbNfTOcbZOsiN6CeBruLt9afTVLOd+VtFRMk+B7nOztSMDBCaXW8eWiRiiuW/bboPXTtpR89+e16qxcMIaotLhaO0u1u2Yj+Y481erGoF6QiO06TH/BnV+RtHvzBoJQ7mitq9UsM5UsVIJALLXd2EVJVbBxfM7N8uQSf5IlOiCDyIlZI9Z2FFInlcULc8QGDWJHTdpxNW5mQUdK+dQGRCYZUmtW1C/Mkhs0aV0RQ/Rc9u4UXWtzHwdo8ugPBbDrMj2PNZVMbJMx3ETYYzVHAC5G/tI3rdI/6cUoJR9XYg1RRHLv+IAdljQ9a2VlqPkTgwAMPfmJKF1FS0uDYNW04iu+E20Yj74dVRtQXTJodJn4oQgqBhW5I6GsSMCsySpZSA2J6j2qDkZ+Lgai9ffzdZ1CQbucVjx0mReuU7hWz3E5jXsmKCg6sVpRAfperKMPrlLNnZxleSFGMVBg9yEgVkew47oZE45hFarLN8SI2EYeEGD7SskvQ9I8rccIPHkhlLisW1kvQ79PYj1LfLX9VJPqPVVGNUpXRtk/HNdzP/fFhM/swWaKq5dealJYrqLzJcvIOsNjJOzaEdGELZL43A/1W4D7fpDqgna0urO30Sn8tRQP1qxjm6HqaUNvJsOE7r/POl/Oot7VN0rCq85yurLVC1D42Vlgt+M4ekQHkkS3NzmyK+fZ/FjPRQbSQa+uIZ4UTerVzqsLKcIOTD9rn7Cq9D1pIsT1ogtSHIHokxdZfDa73mCO88dYTpxhKG7a5jbVZwQpE5q9Hz6DOd++QiZQ1ssDqYZLx0g+PgMjWSI2oBN30OC7BGD8L0a699/jNIQdD3t0Yhl8EyBp0PvvbmWwIGIRij36az+Xj+H/u8cY19ogK4hohFW3jRM38fPqKzkdo7F956gPOJx9DdmEYYBXSnsjHXZPT/+LZjneZw7dw6A48ePP+fv7V+L707bB/379oLaZXOj8KPlolJX4NE02g9iP3Xvjqqut7s192MPL1C9QnHVm1xyrdlhNVtQD/jOIqfOhiZN8Zw19cfmjWm6v64i9q1MQjikgCa0sgWt5l6wE7g+WzTbP7ZWqHZ04LUoX6HOzVzwQ7cbJRqHVadda2YD4W+rNSIUxxTYDK85hC74hbV6Bx3BbXfv3ZHh8Dy05c12DQEw+A0F3KtpndCamiPNdpGpWEu1R3QWK8JOTn4nYKrV8YZ6WjUOsYcXL128uxv8o6RBm42vPF0BWSlg6G4F2DevDu6kM0UjSiXIl/ZMTAaV0k3EQPiHKg0kiK64WFOrVK5WEoPCBaMCwWV1frkrU5gVj3pSR7MlRk3SSFkIT+JaEMi7rYJbs+QSPLMMwQCVoTCBrFoH1YyGbkMw66msggBpCggEEOtZjHwZbJvsaw+oqTrcR/DJWZWdWlpvXb9aSiOy6lA70EXwsSLSdZVKDJA5PUFxSKOegNAq1LoF5T5BMOuh1yXVjEZkWRJZdXADgsS0ogUZ1faatCMCOyoY/UKJxVdFMcqoYuNhtf7qXSGyV4A9ZxBZguJ2D5VjDay8hV6F6AKYZbU/O26Rve0YPfduQL7Yis5HnlwmtJRg+0SchVcHiLR6x4XQG2AfHsQ8v0xs+iDFIUFoU7J2ay/QS2K6QfDxGc58KE7/l9JIDWp+8qfaL5F1weqLozSWTCb/c5RDf1tk/g06XY9KkufK1K4cIX/Aovfzs2i+Q2LOSeKlEbTpRWQnDQgo3XqU3EGdoY/5Bb9+F+Fosz5gVaVB7CvGcUMGjZcdxiy7aHWTyCKURzUqfeBZkrWQxehTOt5gN969CawK1IeSrL5ccuy/LDP1gTHca0qk7wgT2HZZu8FU9KZFndIhh+M/t8DMx9P0ZIqs5iwu/KjO0d+VlK+uMfAHDiIQoPsRQWGjG+uaEms3ROkKHsANaIzd4eJZAtcCEQhQHIODvz2puk9rGnIzS+E1RxELK5RfcYTIPeeZ/5ExRj63QXQ5DfU6gZMLNK4ap/ihItvLNo3XDDDyqx6iXEN4kDrl/9YDFtLUMU/OXj7Pj39DtrCwQLVaRdM0xsfHn/P39q/Fd6ftc/r37QU1z/PwnqHI7QUzTVeArlxRkW3HxUtG8JIRZDqOTMfRl7Poy1mE6yJcF62qovEyHsUJaTghDTtuYcctxHZRgVZjD45jBzBPPZkl9WSWRtykETdJna1SPdRN9VC3T73RoFxpcfAv2o+UiloTj+7k3++1XeerKSUoBNTrRE6vEzm9jtRAK5QhFKQ0FKA0FCB/4yDFawcoXjtA7lAIs+wX+W3VkAFDKR05Ll5PspVBIBhQLynbGvn+uGTQRAZNiIaJnNkkcmaT6LKNHTew4wa5wyHsrqhyvMxLxCF2c/qbby+uK3DvujsdLWjPSyjYzmh0mBsLKV6xqYClUZXEZySFsQCFsQCJGYf8S0daTcK2XtJD48ig4u4HA+gbOYQHgbyHWZWYVYnmQnFIx57opZ4yqKcMwhseyWmH/IkUje4o4VUbzZakvzJF8uvThJYqhJYqNKIawpEEV6sEsy7BrItZbGBP9JJ9aR+htRpuyMANGYS2PMXrlxBcrxJaLBFaLEHdd7hcl+rVI4Q2HEIbjnIM/IyVonIJtl9zEKskCW42VAMqUJQpx6X0YtVcLbwhic975K+1mfjfCwgPyn0a5T4NJ6Si9uV+A88Q2CEBEmppDTuiXlZBkrhgkz8Uoe+hOsP/pLjc9UyQeiYIUhLIqhoBqaveBNHTFtVbi0RXHEqDkDxdIHm6QPaoiW5LGj1R7AN9CNNA6DqyVEZbXCdz5wwjX65hFST9X1ohemqD/q9tsnl1mMbRIbqeVmCynhTkjkm1/yETggGOfWiW7DGN1DfmCOQgecGl/x4Pma4hNUloVUO4UByPgisI5F20ch3N8dBsqZzWjrWrnZ9HxONUbjmCaK69kX6KIzpOGLwjIyqDNTqAd2QEubqhAL+uga5RHA2ycpPJ6o0GKy81Qar50Scj2IN1bnn507gBWHzHQbSVLaIrkvQPz2P+8irRaZ3Zd4/hjlRprIVYvUUSWsijX5en/2VLeCYc/eMSsifN5idHaHy2B0zJ4T+u4SSCpL8RZPOaKGd+eZTIUoOxj53HeDyKUYXCqIFRdql2GaoDswaTHxzHHa1y4WeOqHuXaSAsk81rNKZ+/ijRUxuUX36Yao/ESYaJ3jNF7pYxCAbYPhTklv4LjH0KgpaDyJeYeWc/Rk3Jwm6/agIiYcw/zMNw3+Xx7Pg3Zk3w7nkeJ0+efM7fu2ye5fv2vExI+VxErb977frrr+exxx7juuuu49FHH/1OD+ffvZVKilsejUafZct/PXvD0H9SfzRBaUbRNZpUH9nsdrm82f5S82fiq/I0t210qZqAwPT6DlrMju90WhOINqPfmqAyrkKL4af9EGXAakepm4ChWN4ZrX6mn22nIkin5KbvkMhoiNxVitYSe2iJtVf2oJsB1TnVj3L2PtRQqijAwlt7SZ9T1B/hQfikykw0xrqp9ihefuKxNdwuNTd6vqp0/XfNQeNQP2ZORWcb3WEaMaOlGuQZgsTDfo1Co9H+nuftBPvNc3+mh82zNeXqjPank+SuUXMR2nAInl5qdVyWpo6eq7Su9eotGRpJiC5IwutqPkLnN6Bao/hiRcWopTRiizb5MQvHF4bqOlmn3G/hmrRkS3v+afriBmJCULqij+DpZQxhUjuusknr11vgQWxJttR1uh7NITa2wXVxJgYwppdb51h50Tjhx+ZoHB2iPKi+EF5pEJjb8gugFd1i8w0HAYjP1JTsaCyqMhlCQDoJwMZNXdTSAr2hsiHJCw6upRGbUdd389o4hXGIzUN5AOpdLqFlnbBKFhBdskGA3vAILOZZeHMPXkDNoedjZM2FjeslXsgjcUq9acfAtWD80zncmIXnXwOj2ODcj4cZ/QcPO6YTWahibBTwoiG0XJHNW4dwLdFax0hInXcpDur8/9n77zDLrqvOG//sE2+OlXNXVXd1t3KWJVmW5GwsJ8YBTDBgzA8wYQYGxvhlHpif3yGN+Q0wAxh4YQx4MDPGAWdLliVZOaulzlVdOde9dXM4af/+2Ofe6m7LNjPvjCQ8tZ6nn666dcI+e59zz3et9V3f1eyDiX+sorUczr0rT3wN+h/apXowTer+WbBtTv7aCEc+ssS5Dxxg7Ct1PL+N5vqYgUFtMkXyiRXW/jhJ6+kcvc/4JE8W2XxVL3YpIDlXpzodJ3mujtQ09Hqb2lSa2FpDZQGEQPT3IDd3cK6aYvM6m9E/O9F9XoVl4hwdxVopcfqn+8meEOzc4GFnW1iPqu9Lsw5SU8+hG4fAgsaIz/jn1fPQ6FfzVxsReJfVcWsW0XMmfkTNhZP3OfK7a6z8QRLrCxnKU6peozmo9rd3NFp9AcnRCo0zaeySYPwvzlK6Y4pGn4ZvwejfKI7+2V+YQG8J2j0+M39ZZ/OGFCKAgU+fpXbjAZbulGSOKcoXAuqHHVLPWKSWfBJzFZx8jOq4RfFSyJwSFK70GXxAsHOZUoKyi8qptEsB67dJzMQuT7/1Qy/pu+N71d75znfyqU99iqmpKZ588knS6fR33efl8C7ftz37p2LdfXrPvr2o9rLwMUNAHQz0XPBxB+yLjnKEaezx3MNOsDLkqHeoKHalft4Bvg3YPO9v5VcoTnvqdInatPpiTZxR4Lpy4xipYyq9H2SUM6Ft7n7rcV+oKPDi814c/Rei65SIepvMcUVRcRM2kV0f3VQyj7EQd1cmLPyomh/hQ21QfVUk1rxub4PSdITksqKbrL9+kN5nQkqSsxdxl5mUUjECrMUdgkwS4XlYG1WcVJbaoAJzkZJEptQciwoq4txqX1jIC+rc7fa3OgIXz0vHLmr8dcGfRvoITB0tHK69WgHToN0bdjoeMUms2gSWoHxAXX90SzXIKh5WtK5o7yBSQP7xHWg0SQJoOpWxYSJFxbdv9phYFZ92Wid/z7LK5tg2QTpO9WCK9LPb3aZjkWdVYXcw1o+bDIFuE/oer1M6FCNSCogtNwgsA933wTAwzq4oRzEsSo89MY8/OYS1UcFJ54iuhbSutqPUmEId+epY6Ny6EfTWAPpaUc1rMtGlMMW2szgpAykU2KyMKUctdVyte2rRodlrYZcCotuSwiU6bhJ6P6coV7tX5oivOohANRob/ftFVt6pHCSrJoluqePUByP4EQ2jAU4azBpYHlQOpyhcojH1pyoTUXrlOIP3qW6zqz+cQ780zuQfr1O7sp9Gb4aBz53DnRpg4c4osXV1fVtXh/0xXNi4JUn2tEvPcwGBActvyNK6solvTZM+UaH3UY3i7RNM/tUycz85irEW1lwYERIrar5Tf5EiLT2Q0DiQIb7hE1ups3Fzisp0QGkqSWYuIP1sk8T9Z/aUfjpdf6Uq0M3kDuNcNYX11KwqoJ0ZwTq9hmy3mfn3ZeRgD61cntqMzdDrV1k4O0D/Qwp47x4JH4eSoP8hjcW3wMyf11h+fRLhCg790RJL7x7DvbTN2JfLLN6Zxi6C0dJZe8sotUqLVEzVaxiv2CUlJNyVQ75mF/3BLO3dDMICcV2Zs6mD9D4TUJ2QWGXBqV+b5I03P82JZ0bIPGjQ9xTsXJli8CtrLH2/UsBKnCxwaCeJMb9M+eYJEssN9M812b26h40bNdzvSxCfM0msSoy6WqfRu2DjBg2rDF4MIqUAsx6Q/uUldu+eZPjzEvmWl8H743vQ/vRP/5QnnniCubk5fvM3f5Pf//3f/677vCze5fv2P2z7oH/fXlR7WXxRJOIX/BrEwk652wqcBvEwuu75ONMDAFhzinsrOlz7zjEc51tUfl7QQqCcfkTpfwd9GYxQBUaUOlHx7J7mfTLynY/Zmcdvl03ocO4N4wIQrvTFfQpXZdSwVmukH1nB0Gx2XzmKb6vz2cWAnUsV4MmeVk2RQIF/o672TaztdSdNLXts3KDAslmL0f+lBTWUclVRkQAqe9KcAPUBndSScqoq4wbNYbVdbKekHK4OsD8fuDsO2HaXxiJ7swQRozuOwNQw5zZoXq46x3abg50/V8EeCGv1KV18AD8dJeiNYxVa7F6aQPMl7ZxB9t4FnNSE2kWoCLTmQbQQau7nNM68v4eJL6gxWSdX6PvCLNVXHCC+qO4pbW0H+YoDOBO9aGFPBydrkX5inSCfxB9QNSGyUkVb3caPWxh1tV3uhE99OEq04OOkdPTlzb219TzlILluF6gjBKLl4SejGI2g66gSi0K50o0sT3y22FWF8jOxblG5NDRIRWkOh1msXUmzV2A0QBpKd1+GtSxeVCO+Lll/g4d0NYa+HlAf1Ni5LsfOLR7gMfg1k/hqS3H9fZ/hr+1Qn85iF9rdmoqhbzbYvD6G0ZbE5gJ8S1Af0EjO1ylcmmTjLQcYuHuDzJMqo7b61mFyxyW1YVh79zRmVRLfUPPV6rGJL6vsRN83VbZu9+o8kYKHk9ZZfJPOwMOCVlYQKYD2eJT06TLa9i6lmQxuzqNw+QhIGHywwuptKYb+7mx4kwTEH6jAcD9BzEIv1LrUOauSxKwoGpDUBKWr8iSWYhjPL4CUeJcdwCg0FI9fSpJfP8XOO44QyRwmcd8ZhBsQ9OWY+8E0Pc9CarZGciVAc02iH25i/ZxO9EdX0T+SZ+dmHWH5tE2L1g0lDsQanP2hYfDBjwcsvWeM2JbEjbqc+Zc25iLURiWXv2KOjXqS8loWqcHkX6+zWhwECdVJyVC0xda1NRJ3JQgsyH01wtIbJI1ejcTULvZnMgzd7zL/21niP2bipGHnBknuKXDGcgw+0qR4xwGi2y7p/2uZZ06PYW9oFC5L4FsJDv7HWbKPJ6FUZvMdh8g+XyF/V4H6NWPU+w0mP1Vm7lcMUt+I0+jR6Fl3OLPdi1WH+bclXx7vj+9By+fz/P7v/z7veMc7+KM/+iN+/dd/nWw2+x332V+Lf562D/r37UW1l4OurwxBfQfwaMaF4FJISRAx8IfzaG4IEC/uwqtrqpPsP9WCMLvQn0XbKKJt7hLpyHCGljxbRnYKgl2/m024cPAXUVRe6ItXygsVfjrbJOM0x1R2waxLrKqPLzW88T6kbilN73BbLyKIhuym2EaLhe9TgD65BM1+NRdmLUCGy9nK6ORPqLlp9Bt4Y0r60lgvqfN7PkQj6OuFbq+C3HEDJ6t+Tqz5eDGd1BOrCvALDeQeXWr79RPEttXv8SeXuo3CxE4JLZ/G6VMAtdljklnQsbdU5DwYyKFtlS5sVBb2JNA2ijhHUmSeL7P05gzlyTiBBYMPufTcFUqphpSo3DdD58E0KV3bh1WROImwOHMUtLagnQnnpT+P2Ngh+dC5C5Yl+dA5dR+FlC3hxWkc7mPl1Qa9T6ttEk/ugtAwT6/gXTVBOxPSyMJzZe9b7K7n+tsPkDvRxj6+9C3ZEG1jh7kPTtP/uIcX3u/xM0tKCSXsIC1NvXvP+1EDP2JgzW/hj/RgLGxihc6wWdEw2krqU/MUzUdqGm7WxmgGaJ4aY+Z5g7VXe/Q9JIht++Q+phzYM++LMfFZg8DSMC2TzVt7aPSDXYph70qiRbWuRl11Ks5/fZnq9aMEBqy+KonmQc+7lmifVcW/596lM/OxMn7MJP9oje2bejHaSr0pGMyDgIGHyhSuSLH5qh4ipQDNl2xeZ5JakES2BO0U3b4CsQ049TMxMs+k8RIBUpfYOwKzDsXLU4zcXWLrzoNESmquErMVtI0d9GiUlbcP42Rg4BEXKWD0a6qxWGBrFGcMqiMx+u0prCdmMZ5fUJH9tU3lmOk6bkxQHdeR4hCpZzah7ZB7Pg1Sop1ZJrtoUfuhafB8ep4J2NkdJrgJxsbWWDo1ADmHxnM5uAy0oQZey+SyAys4R3QW7h9nqm+HvkiNM729pH/FYuXEFKU3NrBTbXrv3KRQHGH4kyFd5+cOUKzFGP5zi/kfdMg8YVGZsBh6wMeLaOw8l8UbgsJlFjPLMZwkJFYklUhAfQjyzwfoJxbInTY5+VsT2N+YIgL0PuPjRQTFSzRVZ/LkPMHEIIk1j+pkEjsfJTZXopXLc+pnYgx83iB311nwA6qvnEaeiNAYlMRnxcvi/fG9aqVSCYB0Ok0ymfyu2++vxT9P2wf9+/ai2stB21fUFRjpcNBFKwTfjgsRW8lnhuN082FEv1Og2/m/eh6tp2MvwBnvbh9mA7SNYrfJj2g6e9sbBqLaVJFbIMinuwC8y+tvtvYKXV9AF1+d4DwOP0DbQYaRdlGpEZ1XwCXabFG5fgTPBTdqooUNfOxdNc5Gv4EdgpzyVJR0KP3eTkN9SJ0jPSfouVsplsQtk607hpDhpeuVJvWpDPT2k3h+a2+K8ukujapyIIIXO58CBYUfVRH60bsbGIvhfhGb3rsuAraOizut1IaEL7E2VbbEPl2DeBQ/bHgmNYHfM4ibUOvQyul4URj6ouLAJxeb7F6RxgyX09wAJ6UTCes8Vl+dZeTTy7Qn+7A2lBMW3XSxz25QvE1RtXRHRYzbGY38kx0he7FXW3HefVG/egTNkdSG1DoWL4XMGYFd9pAaNA6kiCQsjOVd7I06kZVwnXUdNxvd03Yf7KX/gRLVQynar5xCaigde9cFx2H1Bw5i1GH3oEFqKSB931y30Rqeh8xnu6pHAFoySmMoQis/TOoB5ayYZ1Ypvk7x/r2IwElBdEfS+5V5nENDtPJ7r4+xT2tsXgt9D+o4SYEXMajfmCR1TtLzOAS2xDcF3nAeqyLRXEHP4yU2XpnBj6jjRAoBjT4NmU+z9i8cgl2L2KpObA1W7hmj8QMuPQ+b5J6E7WvTxLZ9ylNRmr0CBIz99TlO/e4QySd06v1p1TsgphyUmrqtKFwBkU0oXuMSXTFJLCnwH102qY9Kep8QtL6/xk1XznPPV6/Gb0DhshSxGhSuD8g9ZdDsyRDbShLoygnSm7B9pUlkB5ZeH0VO1bGfipOeV1mP8gGb3ifDDNqZdXX/j/Rz+sdzpM+C5qj7VMYj1K7oJzXfxDixCJpAui7RHcn6u2eo3tLk1qmz3P/Ny3D+coCZDywz+/gY7nAbKQUzA1scnx/mzHYvnqvTe1pycnSIk47GKy4/S/AnGo1Gk+gf9rFxvcHaUUnyPTvUShMsv15A3CHx9TStX9pkxm4xF+0hfXeczR9t4qzFOfx/z7L4E9NIQzL7YwMc/I+zFF4/hRVzcDMGK7fH6M0fIvbgWVLHTNILPpvX6qy9UsMYreM2DbauiTDgT9DsNTEaAWtv9ogmWzQ3siTnBEd/bQGkpH7jJJ6tsXtYY+ILVfSFDTzh4//OS//++F63arXKxsYGIyMj33G7l8O7fN/+x20f9O/b/3HmDmUAMOe39qge8RhEI0grLHYNOxJKUwFcaavfRcvtUnDcqYG943TsIpBPp7Oh0PayBB1Jy/MB4fnNwlpttFK12/23S/+Bbw/2O8d7gZ/Pl/sMQtqQ1mgSX23ieS2a/VG8aAhKypJ22sBohODSEuiuKsRs9mjoDsRXFR+7Y+UbFaJq9qGK9gC7mqM8qeYuuplCazjh8Qz07RIA6TmL+nBEqYAArbyiEgHUhyJEzQFFq3Jc5fh05ggdPB9zVhUg1K8ZI+KETlUuRf1Aqns91WGNyK6kmQ+LtnVIrshutsc8t0nG7aU6EdYT+Eqz349Z1EejJFcC1u4cJbYT4NvKEdDbqmmaXVbnbOc0kBpDn16icoOai1S9pRw4IWgdUhFqo+piNHwq4xbV8ZDW8oCPk9CILpSoT2UUd17vZCJ2Lqg7sU4ud3sWNMbVvZF+eJkzvzhG9jhUrx9VsqXA8H87x+zPTZKcB98SBMMq86LV2lCp4vbG2X1lD8llF6OprqMTaVYTpRyW3NfCLrXJBDu3DFC4FPL3mQSmhlXyqUyobIAbN4htQDurZByjOxLvQIv2rrohkisB7bRJq8cisdxi/m0RCrfEiJ2GzDMujT4DNy7Q27B9fRa/6ZKcD7n4nsSNCzLHTKJFFTUG2LlMJ3s6wKoKhAcLPzGJ9Bxi25L123zSxw30tioUTs9BYwBAoPlw5PfLLN+p5rY56ZB+yiK2JohtuuzMZbjv8auJliE261H4wQbyXAypS0qvbBJ/Mkp5Qie2LRn6+7N408MIx0ffLuG+Y5TgqEerT2K0lMLR0BfWwLYIhnpYuSNDdtbHNwUj9/hURwzS8xKjHbB5cw6jJamMxwhuOEL2rEdp2mD47l2q0ylKRYsnHr8crm/gPxdlsZBDP1DnppFFzpZ62fovE1iTgsk/WWH9HZNkn9wi87xJ8coMa5+dZvFdkoHBEhuv0zjy2ws0Lxmi9S9bWL+wzpGf1JWSmW1x8roBNosmfUe2qfTGGUxXqEQc5v8/0wgPkvMa9SFJ+dZJ8ncv0Ow5gB4DP6q6VNffcYShvzkJgWTqAR051Iubi2GdXef0L6k+CuUDGiP3NOi5L87ONTqRgQYVK8LqDxykPiLRx+s4dQt7yeLMj8QY/8LEnjjAvv1vsfe+97385//8n3nyySf5oR/6Ib7+9a/vR/O/B20f9O/bi2oviy8RKZGawJnswzoXAvYQTHei69JSj4ZZCnXyW+6epGRbgVRzvdw9XtcuVvA5H+Cfd/7uZxfTc6r17rbng/0O7afbgbbTD+BiC2ksMhHFTyrAZazsdM+nbYaR6GQcfaeKDByMTJTIunJI/IiGHTYe27jBIhrSx2PbQbfHQKexGIDMJDBa6vf4qgJUAG5UkD2lfqlMxrBLoYrMsVWQstsTwKwr/jbAwOcXu4XO1VGNVjZCFgWYV18V4cDfhgo1mnbBPMefWqZxxQhuPCy6rPmkFupsX5/BqkDxEhh4OKA+oOZG8ySBbdLuicBwkthcEbMvQmxerWdzNAWaILGk6Fu+FWf3kIZdCudWg+HTHoEu2LpGxypBdBvW3zpObFPNxdbtQ/Q9sAW75W5xLkLgXjGGVZXknw+dKkMQGNAaTmGVXHTfp90TwWorQOr0xShPKApUci1B7KklsCxEZwkiNolFge5IlWWJh15Xtc70H8yy/aYpck/u0BpN46TUPZ36ZgWA8kEJ0kR3wyLlRB/xxxeQfTmlDHTevekOpsker5E9JfCGciDAj2qqsBsoH1AAWwqIbUoiuz7acpTaeIC1q7F2s4XRBL3HQHgGmZNQnbBw0uDGdUQAjf6wsNiB2LyJl4ADf3aOrTdNYlWhPizxbLUtQvU+2LxREF+GwID4msSoWdQHoPdhHYQkuqMKqO2yj/DV/VEbEZz6lRRWvEZ7Pk7qmEX1gKT3adDbPmDQnHRoalDLm6S/nKJ6Keg1nehpE7MB/V9VSlu1Gw9gNAJMxwfXY/hrO2w4PZhSjTF/3EOWyghdR1vaZOg+neU3JMnMBkSXa6zelqb/EUk7ravMRFyQXA4oTWoULjHQXGgNxKkN6xz5D6tUrh5AyBjO9xdJfSpL/e0VVuppml/uI/ruLajGOPW7Q5h2jVWjD+O1BaYyZ9n87UmGv6iz+c44elNw4jeGsVIOeWDp0VGy/2mbrfVxDv9+mcO/U6F4XZ7Y59MUXw07Xx2mNuljX1Zl4M8jRI+vsfKf0tz6uuN8ceES/EegOeVgJRz0a+tsn+6l7/MmeD6LH5jB3oWBu9aRuRSH/qJAbSaL5kCrN8LOq1zG/16wc2mSmAXpBZ/adQ6jf2ywdrOFf2UNfT7O8ms1/JT+8nh/fI+aZVn83d/9HVdffTX33Xcfv/M7v8Ov/dqvfdvt99fin6ftS3bu24tqlYoCHKlU6iU5/xsu+TAAbp+KlBoVFbXvguGQPhPkQ25900X8z0SYXgjkf7vfv92+5zfAOt+ZCOlBnN+wKzxme0Z1U62OWxCeJv90idqUup7k8zv4WRXVdlM2ntdCb3k4oxkA0k9vsfxWlcHIzvroYRS4PmSihUkGqxoQ2VYegLG0Tf0qJS3pxrVuZ1oRgAjrCoQHfkRFUQEix7vdk8A0cMcUwDXnt6hfOYyb2LvuzP0hYI5GoNmidq2KpCeeWL5AmrR80ziJBcXR8RMmlQkbq6KQcXVMR29BVYnGMPHFBu28TaM3VMdpqa66Hf58/t5ldm8Z7WYHmn1hdqMqsStqPnYPGuROuFTHVKTbSapott6W1AfCAuizbeznls7rFxCFZpP2paMYVbV2rb4oZtVDcwOqE1GsZfV8WNLEyVjE5krd++/Ur44x/ckWxmYZaZls3KHmbfAz81RuHMNJaSRWXCKzSgGKRgNyGYrX9qC3JamT6h4X27vI3iw71+XQXdi8w8VeUo7F5F8tU71qiOTJArRdkAH1y0IHreZRPmDTzggS6wGBIRC+JBJy8isTJr6p5DbNupKUrB/wyD9hULxKbWNv6gw96LB1tXIC2lmQl1WJ3pPEDeu9pQaDj7QoHo7Q+0SV9VuT+OEtHxhK2Ufz1fFBqRtpLugtdc85byshvp7FqENjEIYeaFGZsLFLAbWhUC1qN6B4RENIyJ4KSJ+oEMQtVm+N0fe0S33AoDwtyD9cx6x71GbS+JZSlTFrkH++yfZVysHqFHULDyK7Lq2sye5hDc2B/EmP2INnEaaJc3iEncsitLOQP+4T22jT7LNpZzRiGx5eXKeZ09AdSc8XzoBlsnvbBG5Mw6op6lN0J6A2rDJuvqXmw03B4HVrVFoRStsJ4tkm7VNpxGQddyeC1tKwSgJpwMDDLhvvbzH2UY3l18RxjzY49H+Vmf33KW6ZmOPZ7WFKZ3LMfHSR0780TmRHYNywS2UpzcH/2mTpDXHa4w75b1oUb2shXY3IvIXmqyxfdEvVC/U8VmTuB/KM3OtgFZqIhTXKr5tBb0mKR3Wkpjo3717pIeIe5nyEvqd92u8vsj2fAykYmdlkZS1P9KyFk5EYG20e//WffcneHf+n2Mc//nHe9773kc1mWVtbIxL51h4n8NK/y/ftQtuX7Ny3fXsB6wAoq9Od9mLlnU7Ev+3uce67O19UPBsW9wa5xJ7T0LFOU6zvZh06UDSyVyfwQpmDzrlNE2dU6ci3ehRQSz2ziYyqnysTFmZTdXnNPK7C9O5QhnZKAen2TX34IT2i/94tHFOdS3PV/34+QXRH/dzMa2TOqjkwawZBGJH3TYFRCB0hTRB/Tp2ndbAX4YX79pu0UxqJdTWfXkzv/o1YdK87sOthzm10r1FzZbe7bddEKN8ZjSiw37HzNPx1V9LujXS5+5oHzR718/BnV6lf1o9dUb8vvS7G6N1NpFBzFpiC6EaT0pSq8SjfMIIIJPnnHcpTNslFsGoB7bSG0VRzkFgNiC2UiD23VzCMlGj1NkYjA4CTNJBXjKtIfzp8MTYkZrGJl7QJbB29HdDstUjO10jN1XE05aiYu3WMUhNMvdsALfucxsrtMTJzEdopjfQ5t3vu1KPLlF45huYFeENKdcOYbUClRvpMBDdt44Y9JaytIqJQJr6eIrpYZufKPJGiGp5MxminNRK2qTojA8vv8tDXbUDHSwTY2zq7SY3oFiRXfLyYRnS9Rf5Zh9LhGLorcGOq+3TuKYPgziLW07lwLWHhzQb2DqTnAuxdQaukAL+bhIHH1P3SGLDYvcwnMJOYNUW7kgKEpRwKuxyQnA+flwC2bkhitCW5J3ZYHOil/4TDyk+69Hwmyty/MImtCbyIjpCK5tPs1zBrKqtgNiQbr8ow9MV1GsMRNq9rkvjHJPnjAYnHFvDH+tA8id4GqwrRgs/ceyy0loQ+FTQw74pgoORZo1subtIisiWIrjUQvXncviT1YZvsWZf1m0wCS3D2AwZHfuUcSSmR4fdOUhMw1MfOmw+ROd0gtuHiJnWssodd0ome3mL3x4YZ+lKNc29LMP6VFgs/JVkvpnG3oqRPa7R6LSIVmLp5g8x4k9nfO8rIvzpDyYlg3eZjeCbrN42SuWmLrWKSlbcM8uaDj/K1v7sB/4Yqyeldmv/FJP5FQfpN6/iBRiXucfZHbUS8xc3T53iwMcPB4S3mnh0ldzLAiwnVsfuJc6AJgrEB/JikcInF8Bd3wTRJf+UU6z9ylPG/XWL1HWM0BiD7jAEYBCY4SY3qY730LkhqI4L68UHsQZXB8aOCsY/Pwa+zb/+b7Yd+6If4t//237K0tMSXv/xl3v72t7/UQ9q3/4W2D/r37UW1lzol6B7oAxSXG3hhiowQF/LoO3YRiJeJCG5ORc2t8HDdplv1f6KyT0fD+4UKgy+mCgFBNk7hUhV5SS15eBGN8tX9pB9VXG7fzhMthMW4h3q6zaDsMOrtW6IL+uuHcmjF8LwC7IKDb+tECz5WeU/m09yqkt6qdueqOZbGGUhhzW50r0HmUtgbNUS1Sfm6QYQPsW2/C/StSoC9FCLLVvtbew2E4D16eoto5/NODUS4rTOcwVoMqUqOe4FWvxQqu5A8t9cUrDkcpzZksPn6YVILLoGuurFGt8HJqO6unq2i1c3BGH4Uep5T4KtwxKCZs0ktq9/baR2rEmC01VjMbQcvE6N2Rb5LT4ptukSrLQJbjavRr9N/9xakUwSdwuLsAPriJlYmRXM8Ayi60e4lSeySj7WqMii7V+VJzdVpDMewCw6aJ8kfbyBPqozI5vdNdDM55Zkk2mSS5Lk6WtNFnN87wvPQFzfRNY3d2ybI3h1y9E0Do+EhiiUOfbSi1Ft+dpzZ9+aZ+GID0XTwR/vxYwZ9X7VpZdU1WlWNwFS1Ea3Xl9G+pApqtbZaq+zJOrXRGKAhNXAToN2dI1mD8kF16siWRnJJsvZGH3vFRGqKqpOelVTGDOyyujCjJmj2q8i/3oTeYz7lCR2zISlPamzcFCdzUs21k4LS9Q6JpQROCtZusRj6a43qiMaR/7CKM57Hi+o0+g0m/3IFmVZphdkfyNK6qYm/EKd8dT9HfmeZU/96FH9aYDQF0QNDeAmTnkcLyIjF9rUp4o8vcGirHydjI001fvApHjKoTQTIiEbqpJqvwhVJer+4hXNIOYV602PyDxUwLlxyiPKtU6TuPqUeg3QSmYgi1ndoDOSpTMYxGpA75bN7KIIfBSc1iJuS7FyeIHfFNnPZLEd+bZOtVw+TfM8qa/1pRvO7zC33c/L+KZzRNpEfqFPcGGQkW2KxlKWykuLInQucPDnKDZfPMnf3IT7z8LUc+fQ6J2Z6cGpxKvkY8nKHkR9rc/LDo1x12TxPz41in4nwxLmjXPfqMyz8xUGCV/g4SfWdUf/5EvPrkwx/VSf94CKxlRSNQUljKofezmCvVxi4r0ThtlEiBUl8XQUnAkOQuvcs3qERmj1xSjOCA5+rsfimBL4F6fk2vV9aYeUd0y/5++N73RYXF3nsscc4cOAAS0tLbG1tfdtt99fin6ftg/59e1Htpa7492IhV//iP5jnfeK6F/8VoKtjjpQEcfuC44lJxT3XHB99efufPqDv1LX34r/bFlq5QWxTRY21dkBiK9T119QXcGJdabmDUrXRw2RFbLVJYzjapeh09u8U2NpFt9st148auPGQ571Y7tY3iEIZf6QHq9RG36pckPkQxUr3uOnHFH2nPd2HfSrs9mXoVK9S1KPYehN9ZecCvfzuz85F2ZVYFBlSroxy2Kyr08vgvEi/kOAmdLSwZa2TMvAiArusjuvFNDQfEmthofCAQWrRpTqtjm2XJHoLNCcE9XVFn+ioEbWygtiWRGsHFC61AIPhL28RNwRGWY2nOZykPpOnndLJnKwQXQUaTfyxPvxoWBiuC9pXjRN7dpno8wqcu1MDJE9W2bqlj7YWRXckZkPixS0Kl+ho7SipZTVuq+zTvnYUqyZp9RhdMG7WJG7aJlKoEeRTaCvhy7pTN5JOkv3aWdAE7UsVz6k2YpE/Z+JO9LL+ihgyzPr4EQM9YbN4Z5L0nFTFmpeNdHs4bF1jkD0V4H4zTfHWFu1jEaIbBvUR5QAnluqkHylSvG0MKZRevh+BlOqvRbMXytMCzfYAExFA79MurZ6wAdyycnwC3Ua8e5vicz14CbUW8c2ARq9G65Im1lwU8y3btL/Si1mH0U8brLxaJz0H6bk2tRGLnqernPqXg8RWNGLbErsU0Lh0kOKhToE9uC2DaFHgRYBohMiWhh9VReVbV0cxmhCksyQfXcQuJSi/cpLU6RLRlR1kq4Wwbao3jpM556M7OlZFUB9SVJf8MxWk6xLZbCJFFCdrYQ7kYX0bzYH6gEYKCA6NUrg8SeFKn+RsD2N/cZr5n5lBaspR7//COeXo6hrxlSHOvT2Gv5HG2jY4+et9JPMlFpZ70aMec0v99PWX0folxWoMeTyJXoMNL8Ubf+QhHolNMLvZC7aPpXm031omZ/ic+o0syWdNmgMStm2yh4oU/jyO9YTOei3F2HABe8zj7OIAntS46mee5ZmdYWqLvRSu1Ig83MuBx13sjQpEI4x+coHi7eNEthq0e2Ms3dlL77MOdsmn0Wtg1QL0pk98vYb0fVZvizP+Z6eZ+4UZFn4J8qlNyvf30+yxcG6YILHcesnfH9/Ldvz4cW655ZaudCfA1NTUt91+fy3+edo+6N+3F9XEd2pg9SJY9PhaZyB7/4e68R2KjCiGwLPTVCqkoojdKm4I7isTKtpu1RQYiz23+Z2bc/2PmBD4A4oO0VG6wfO79QadQttAF+ibqvhUJqN46Qh2oc3OpQp8GQ1BakmNb+mNcbKn1M9GU5J/SKUmvLYCnsZ2o1ssrLd8SgfD66vEMFZDacdYFH1XZTCCfHJP8tE09jIWgEyFTZ0Wdy+gQiWP7+zVKZwX3SdQmYL2QNgcSgOz6objqnYdLD9uYjoeolMcHVrtujHliJmCyphaQ98WuAlIhmA50BX4dUOJUM2VVEdN7JIaX7To4yYM9Kaa2/iGjpMQeLEwA7ET4EUF9SGTSLEjh+qqjFH48ottFancMkn6bA0/rsahhc5Ms9fCrIVqPxkd7dIRnJRB6tg25kYFrydBasnB9X2s3TaGHuDkI8TXlHJNZUxj5OvKsQpMncTSFkQjrLxF8e3tisTcbdMeyxGYApu+7hj0Wls1BxvuQ6xvI41OJ16JN9aL1AS9zzqUpi3Six6BreEnbPLPBVQmNPKWRfT5VVpHlNOWOxHQymnYJYl4MsLwlzYpXdNL4aiaq81rkxz88yqxTRcvYiE1Bdjb6ZBOU1NcdONYlMGHmzT6bTZvMNGb0ByQmHUbqyqxapLVczk0WxJb1mj06yRWPWxT0DwXxaxA8KkezPAea/ToDN/bRuqCjRtszAace3sSs6pqAHxTUB0NC2ZTkH3FJglA/1gP5QmIr7sUr+9j4m+X2XzdKMlTRQqvVtHmIKfjRSdACPR2QPHKLJFSiviza1BvYlZ9qqOmchBMQWJVUhkXlA+l6H06SXK2jm9rWGUPsVFABpLhb7YQvkQM9KKdWaZ3VmA2DrN1rWTr7TPENiC+6ZF4dp2TvzZBfElj9Es7LL8mTnoW2jsWmgftAagWY1w2tcJzcyPET1s0j/VSnfEg6kOvz+WvnuPpBw7xZHGUm3rn+WYwxeZCP49sXILUJdV+h6umlnmGEXrzVTZXshTns+QnizjDLuUH+mgO+aRGKlwxtcxuK8qprT6uHlrB+74iJ//7DPH1APNX11m+a4zEaprss2Vyj2zSnFTfZT3Pu0SfnGftvTPkTjqUJy00R0PqSWKuz9jHToJQ9QqNis3GegwtI9GdgOU3QfS48ZK/P76X7WMf+9gFgP9HfuRHePWrX/1tt99fi3+etg/69+1FtZf8i+L8yHmHihMCsy5Vp6FAZYcDLbUE1lIRNJ1mnwKgZj2ky9gvTA/6lnN9p79d/JmU6Gs73zJuaatsROTE2rfs0xzpw6wpwJo9rfjnAEZDAc2+JwPKB8KIeQvqh1URqP1k2KFV0xAF5UBoMYu+exV1p36kB70S646zE/XXdmv4I+oY+k51T0pUiG4fhG4nYClDOUAbQlDN+VEiTSOI210+vggkbqg8ZKYsRCC7nVtFTxyzc6564wKef/WGMcxagFlR562NRrq1DAj1rxP5B0FioY21pbT3/XSMaFzDWtimfbAfu+TSytpoNYnUwt0DSWzToT6k7oHFHxhm/BNLF1xP6oFzoGm0r1QFx2ZUXYfwZVcas3TQJLoNiXMVylcoKc3UmTLFS+J4vqTv5Dq6ZmEavWj9iu7iJgSNEXU/1vt0YoNjGI2AofvK3Q7HwvVp9pn4tmDraovGiDrfwIM20XyMyEIR2ZPrqglZg700xhMEpoaTFJgNGVJVIDA00k+sY5d7aR3spTxhofmS7KkmiYaH8CMKPCcES2/rZ/TLBdbuSGOU1Fh2bxwk+/U5Is9r1K4bo9mj03OsRTunHJFGr46bhI3ro9Quc6ChQ8Qn/ZRFYEBkW91D1m4UJ+vjR6Ctg1nTaeUFflQiSoJ2WhApSuKh+pSbMlh/hU58DQYerODkIpx7tyC6ZVK4wSX/uEkrC3oDxF/0It+/jf9TO5ieweJIjvwx2Ll9hMS6hyjXSWwkKB0UDD3YwkmbRLaatHptkostnIxJ+YYRkrMVKuMWPU+VVMO3Q0NYzy+SB6QMYLif5TfliOxAbdgiHZ0mPl9B6qrOQGtG0HMZZLFE5ksnyXwJmjcepNlnsHmdQeLBBvlnNXau9zj18xmG7lbPtzTAjULPo6b62wOT6JMNGkMGPU8L+j7pgYRz7xDMlfK4OZUFqLQibG+nIR4g7QC9anDkN3Y49u+HGeorUf3yAMb1TUQhSnE2h9HQuPxNp1mppVlZ7OH5ho1XN7l6ZpGZ+CYRzaX01giL94wT/OUo9Vs9AtOgnc4w+ImTRIq7+DNj6CcXkcDg355k4eeO0Br06HlUpzJu4sXypPyApbf1Y1bBTrdx2lHsDY3SlEH6ONSvK7/074/vYesU5N544438wz/8A0NDQ99x+/21+Odp++o9+/aiWrmsgGU6nX7Rz/3Go0p+TIYdeDsAtgOaglCjvwOkpaHhRdRnsecUZaUT6feiofJLw+vq9HdBcEciMxHb69r7nRyAi7v9fjvrRMn94Fv7AUjJzmsn1GEDutKZdlEB5FbewGiF3PiEILUQSpGeUR1eTS3knKdVtN1PRwmscJ7C89orpT0aTqu9N27HoXnpcBdsa213r7D5/OvWtL39df0C4B8M9dDqVQBZGgLf1tDCegCj7u+BUUsjfra4RznaKe0dXwicg4NdB6E8adPsVZFlUD0IhITsMbWP2N5V40mqjI7Xl8JY24WIAqZnfryH/PMQ3Qp5/TmDzPMlildmKE+pc4zc08IsNnBCB9E+sYzsz9Puj2MVmt2htXtj1AcNasNqv4lPbbF5Wx96W5JYdcP5rbB5VQwvKkiW1Xokz1ZoTCRVw6J+AzdkmEUKEt1VzkRiOewbkTRDHr3O5nUCe1edy4tB5owke6yMl4lgLWx3pWR375hE86DRq2FVJSKA6E54vRmdwFSqS4Gl4Vuiq3hklwMCU6C3JJVxxd8f+mad5deqefCjkD0pSS632T0UIbns0uwxqA+KLuUssRJQG9FILgds3Cjwe1yshEPi7gRSKEUeUAo/rR51PCFRPRjknnpPfFPSyggys6EiUo9Jo09gVhWtyI1BYEP/Yw6NfkUnkjqUpgVoQIdZlg2IrWs0DjmMfkanPqBTSzQxmjB2X53mRIald3vk77UpTwusXcid8Ymt1ClckSS5rLrytvIG2Uc3lFSnUDdu+Y6DrN+yV8/Q7BFECxLfElhVpfqUfHCuW9ALIKdGWHl1CqnB+J+fJpgY5Oy/MjFno7gJiVUSpOclua+eZesth3DS0LqhjjgTx0sG+HEfYUjG/kFj95CBk4aeYwGrd7oM9JfZrUcZ+UOD5Q/6OA2T3EM25WkJo00GchU2n+ln+m93OfWvEtjJNof7tnh2foSJoR0W1nqgYZB/Uqc8Dd6Aw+1HTnHfQ5dhFwTCV8+d0YT8sSrVyTiZB5YVNU/XOP2hadJn1DqWD0oypwR2JSB912nqtxyk9OM12s9lcEYdBr5mYhc9PK/Jl/77L74k747/E+z06dNcfvnlOI7DwYMH+eM//mNe85rXfNvtX8p3+b59q+2r9+zby9JeyuKfDrjvRPT9sOCyE4HtmN5wafWHUf/yhUDc2AnpMBqIdviCDoGtmwzpFGHknHpzrw4gNFGqfasDEHbhlbkUMqS8aLshR/482swFP5/fpCuk/XTB42qlS4nRi1VaUz3Etly8qDp2ZBesDXV8j/OiNecVxrZ77a5uvZuLYa2WwgsQe0XK7XbXcYk+v7rXOdjQX7gXQRDs/X4RH1S0HIxmSLPSBGbNw0nv1VlYxdBJkRIqNUQQ8EKmtX2Mkhpf0sqg+QZOcq8xV+7RAqJYunCnEAAbc2vI/nx3vAf/qkB7OEVnijLPFli/o4fMWZfcM8qTWP13Au3uHLnTIZLNpAiiJq28QXlSvQzLU5L0nIBgr/nY1iv7qA+CWRPURtR1Ryd7yD2yTWsoBjEF6OsHkmieyhJIw+j2SqhMCrKnAqojGolFycJbFAIWAZhV6H06YONVvtKrB9ppQbs/htH0qV0xSOKR+e7lN/MabkIp07hxQeaUclbKkylEAF5UQ+oilOikW3zpxgTRLReERXNQsnpHnOSy0sYHqIwbNHssygclwjfpu38T53X9SKGK0AEiBUHxsEZkC9qehb1tURtRFK/UPAQm3W7JQkKzR6C5qvA3WpA4SYETFyTWfcqTIT3PByRk5lrUf7VCvRIn+fU4tWETP6IaefU+WcZoJqmMaRgttb3mqyLl1NMW1WFwMpA9oe6b9mAKJ6EROx5h53qPwYkCG6d7QdNZuzlJ/+MSs+KwdkuCwYcbbL52iOypHK28SerBedL3nyMwpyhPwtYNAZiSWswj/kyE6I7ErPuUXj1N+munoSN1O7fC6Jzi+y/9+Ayj/89JZn5R5+T/dxJ7wyAWlm1I36fvC7OsvmcafzWGZkDqjMbulQEEsHG9UsdJLqpM1OY7B0n+ZpzKr3jUP1RF1KOksg3S79qmsNDP0d+oMf+eASwHzvybKNY5i/YwFD4xwZFfWObsIxMMX7WB+ft5Ft7tY65bRBJtnvj7yxl73mH5fT7ZuyK0coKeZ5uc+bEY+Sc1CrePUTok6H/cI0i7lKdN0mcFqXOCxLpHdL0BfkDiqVVauTGq1/lKmelaMGom+k6wXzz6v9FmZma46667eM973sPZs2d57Wtfy3ve8x4+8pGPvCC3f38t/nnaPujftxfVXsrEUhANNdUz6n+rpEByO6t+j602kEIo4B0Os1Oo23lQRKW2B247BaUh8I2shM26NG1PNz/kqestBXL8wWQ3Auym1XHaObPbQTZzUtFNiEa+NUtwPoA+vyYhpNFETq5RuGOc+mC+GyVPnRPdiL1ddHATIZAO5IXHBggCRFOhSnu7jdhVY7F2q93tCq+ZIH/PUnf78x0Fry+sCai2EIk41Op7Wvrh/pVXjJM8HerFN9rdsYvdKrIvieb6CF85XtZKCYDa0R7sDUdF5r+LGYub3Z+jx6pE1jLgKaAtylXlbJx/zdHIHg2JsOnZeYXFkVC2svSqCVr5HEYT6oMGVkU5VcZXYhhNSfNflWh+qQ8O95E947L+Oo+Bu9VcC19QOQAj33CpDRk0BkOqkq9UZ1LzEi+mmnRVp+LozQA/LtC88L7acWn2mNilgHZGzXdiCTZugtg6GBslIjvx7jXoLagPalg7Wlcxp+9JHyFh7ZYokQIkchkolsh+fY6ttxwktilJLrWxzqx1HbKB5U22v2+623vBSYiuChSA3pY4aYPEaoDR0CjPBER29no1JJc9Gr0GfU8GRAou26/sw6xLrKqklVOAYefVbYzlCN6MepaqWQMr38LdihKYOskV9dxEV+uUD6fQXFVfESn6SKGKZWPPLlO/dkxF74+qseef0jGLTar39uEectXzLKDvoRIrvyE4c1mS/oeh95hDs9eklREkF/cK36PbLrVhEyehGqilNj1Ssy18K4neMtgp9tN7SmKXPDavN9i6RtDKJsie9Vh8Q4zAhHY6QqtXojsTxJ9ewY0KYutgVnXaOQgMFX2vDeuUrvPRtwSBfpjEcgvz2J5Tps+v431fWO/ieox+WVCegP6vbyB3lCKW7M1SOeJhFgyYrqPPxkmeMRABjHxilpO/NUarbrH5tmkG/6tHq19g3quzfrnL0F06G9/nYOgB8XMm8+/uwztSJ/A0rFNR+p72WHqzRvGHa1Q+M0HPVsC62Y94LaA5+DFJ7rMJNu9wiG2ZyHWT6rggfzxg5/IowgmoTEJkW2DvQuLBOaZKY+htB31jF28wh35mqfudJGt1ss/X6PlGifn3jfKKNx3jG88cJbIjX9L3x/8Jduutt3Ly5El+/dd/nf/0n/4Tn/zkJ/nUpz7F+9//fn7913/9AsrP/lr88zTtu2+yb/v2v86kfOm+uKsH4lQPxInPlYjPlbo8b7PuE58rIVoO+nYJfbtEZL1OZL2O3vbDLp3nWbO1B/iBoD9L0J9VVJtqCHRNE0wTq9jEKjZp5yy8mKFoC5u7aJu7mJU2ZqWNFJBcbJFcbFE9kKB6IIEzcF7DE03bcySE6AJ+b7QXb6RHceVtBULzD22Qf2gDsx5g1gN2D8dxEhpOQsPcqePFdby4TpCM7EXsQzoLoNRzHAdjvbjXa0BKsCyc6QGSCy2c6X7ciV5FdYpHkek4Mh3H2G1gFOsI19+j8cAFINu3BbtX5ti9Mkf5mgFkOt69Lvv0GubCNubCNsLxCJIRgmQEzblQHegCO3+MHbB+3j+xVUQUSyq6fzHgh5CmZIBlqqZnjqNoVr6/9w+VfZCaIPd8HbsiEZ6PkzJJLbgICc5n+qgPQX0IzLJD9jGLdkrgJAWpBQXO64MGZkMS2VGNiayK6uS7c11AYKqodqTgIjVF+YgUPCIFj3bWIDVbI1L0scuKd+9HILamMXxPnXPvGyYz6xHbksS2JINfXafviSbRTQWKCWDrKh2t7StaTAIlFxqxVUffFZeer8xhzW7QuHIU/8Bgd3p0ByI7Dk5Kw2xK0g8vo3mSxHydxEKdyI6Lveuj+ZB7TutmRXxb4EU1SjOS+Gqb3UMWzR5B7tkyRivAiwjK0wJzMYLmQirTwDoXQUu4+Atxkmd1pFBN0JyERnkmSfahNXxLFaIXD5tIQ1AfMmhdMoKT1MmdapM7ppN7VkfzJIWrMgx9s8HgXTrFK310B87+SBr3+TTp0xqbN0LhEgvhS/LHW1QmBPV+QWq2hlluk32+ht5WBci7h2No5QbxDZf4RoBZhXZKUD5gYJXAKkGkGNDM67gHWvQ8J2n1SK696QzrP9xm99Yxcicb6K4kthWQPRUQW1c0vOqEJPOYxeDDAaVDgsU3RvEuOwBjgwjbQvo+iSW6oDh+32mGPn4CuV3o3vfVmSzpEwaxTfA2ouzc4FGdcVX3Ys/nyL9ZxL20jvHWbTZuUHM69Nklsk+bNPo1eu6xGU/vcs2dx2mNu3htA79lYF5TojxhMP0Jl5Hf0alc7rJ9Z5sg4dP/qGT48yaRbcHmTQHS09i4zSM5L0jNS8yqj5OGK68+h/AguiPxbdh6+wzW7Ab6/Dr1ywYxzq0hhIbQdYRhqH4XZ5eQ1Rr553we/czlEAjczD7QfDEsnU7zh3/4hzzxxBO8/vWvx/M8/vRP/5SpqSl+5Vd+hUJBCTi8lO/yffuft31O/769qFavq1x9PB7/Llv+r7cOp5+WgzOeB9jTmr/YQs68O5rvcva/nXnjfeiVUOEnpPx0ddktA60ZFhnmwsLh8ImzZjeoXz2ifg6zDlLsZRci66GkY08U++RFqkOmuVcD8AI1AUFPhvZAOMedrEPOwGgoMN4pfvWCUCVHC49hGnuRbyEgGR6j48wAzctH96hCO3tKOlrLRy+FXIyL+xQk4nufx2O4oVNjnqf/j+Oed30GVOv4g2qd9NXtb3UkXkjatJNVuLjI7Lt8zcm+sHmUL1W2o3He+M871u6rp4ivqj4Du4fVeupt1UwotSixqmFReFyjNCVo9wQkz4W1ERpkz3o4SfV7vV8jsR6w9hofo6zWfPIPFyneNIApLIymUiQCiG47mDt1agcz3bn3LXVuoynRWwHtnDpG5ukCQSpCZVI12gpCn86LEnaNVVzygW9s7WV8XI/SjYPE1tq4aZP4c5s0D6ki45XbLVLnILnmqZqBuNa9jypjBslVn3ZKw0kL9DbYpb11Ej6svckj/6CF5qmMRnLZo9mj44X9IsyGpPKWGq2KjRFzGe3ZZfvLI9gl1cPAt0TXmTCaktimS+mgRf54i8U3RJCaJL4qyJzziK7UmH9Hhtg6DH5BZaS2XjdGZRJ6rt7E/fs+dq4NSJ3R8W3l1GiuUhNCQN8TDWqjESoTao5r4zUQ0P9QHCFVfUfsyXmaV01QHzKVgpYrqY4p2lB0G3xbZXC8OIx9tUF5Okp9QDD2ZycJpkeojcVB0M3uebaAtxbw7s5TuapNLNmiXoiRedYkveBhVj2stTLUG8hWi+YN08SeWQbPQ57/rHaK3XUdAknzmgMsfp/B6N0BsQfPsvnuI9Ruq2Mci+NHYPL/d/KCZ2D1R4/gZMC6okRfssq548OIXBsr4uGfSWLtgvHKIs1ncnhJCULS/wi0MhrVcUjPQX1YOa9eXDL8DZ+lN4OwAlJPW5h1KE8ph7dxdZNg18IeaKA9k2TwwTaFS2wycy7lSZOBT5xQz8zUCH7MZOW2KOnnmtzzN7/wkrw7/k+2++67jw9/+MM8+OCDACSTSX75l3+ZD3zgAySTyf31eJnYPxXr7oP+fXtR7aVq3f3G6X+tfgj580E21LrvFIJ2gN35wNIK0dJFTaK629oWMpT7FJ2C2rDo1cuomoDmYITItgLGHa124Uns0yGID+kxMgTX7ZEUtWEFwHvuUcC8fvkQ8WdWLxwDYRdYVOagO+4O9UhKZEKB0nZ/nGZvqPyzo64l+vwqCIEXKF6+ITu65d9dkUHmUtSnMmqKdh0ag8rBsUs+0edWztvwQoWiIATw2kbxAopUt2HaRkVlS9qhI3F+se93AvwvOMjv8rUW7u9PDKAvb3cLtM3tGtLQELVml+tPPAZtZ28MqQStsQytvEEkLHoVvgLonSJidEErq9PKCRoD6qPkAiAge7JJbVRdv5BQG1JgefC+XTy/TWU6RX0mhuZCbFtdh132qfcb9D2wTemKPLWhkLJVVh2M4xserZzedTqiyzWaYwlqQwZGU3YLiM06pBZ9Sgd0moOSwYfU9qu3akQ3BVJXIDi1ELD+SjVuu6ChtyB9TtF07FOruNODlKY7srUSqSuHNfvohpK+FQJ8NfbyFTm2rhWM3uVRHTGJb3mUDxjkTjoUD6vnpz4iiWwLWnlV/Nk+2AIJiacj9D3Vwlou0jyonJDCT9ep7sbIPWSRPdOicEkEsy6JbXnoTsDqrTapc7LbSE1vSdZv1rB3BUYd5O0lop9O45sCPwLpOZdW3qDRKxi+Z5ft67NECz4rdwiCZgt7R0Ne7aPNxhm9u4VZbCLWt5X6V62hwHYygbQtnIEkjUElU6p5ksqoRn0swKhrHPzDeWSrxea7jpBadIkulWmNpLuZxHNvtxASMtO75GN1zswOEck1SXw5CQKSyy6Rx2cRmTTOWE5RgAIV6Rd9PVCpItt7fS6ErqvnzDCQlQpCaKz88AzDdxdgbS+QISIRZKsVPhYau687yPY1AuEKjIbKSMXfuMn6WpZouoV/IkXqnKR4hSRzUqN4g1JfmrlkhcVCjp5UjaZrUiwmSDwdQfNUc7XSYUlkRzD+/5yl9opJjnz4OXadGKcLvUgpEN/IMPypBWRTBVDaV09RuMSictgn95SOI1o89Ls/+6K/O/ZNRfW//OUv8+EPf5hnnnkGgMHBQb7whS9w9dVXv7SD2zdgv5B33/btQusAuBDsaeervsC3Anr4VjWdDn89BPb1o31dxRprPaSfhJG3ylSM2JaLWfO7YL9bOOz5XU38bnOpQhkMnciZJtZWWPwbSPyBHJGNZhck12fyGHUFEjpgQQ7k9iQ+NQ2vN6wjqLa6502fVvx8baN44bV2sgTetwHRnW0tc08pyJfEFtTxvGyE9HHFta9NZ5D59N71wB5Q1jR1bsA5OKAkUMPjd7sjXwzmff+Fwf3/W6m4cP/W5WOAKrwWAWh1hyBiEURNjHJdOR2wl7XQNGRGrZsb19Fc8CNq/fRWgJs0QupK6PhFBIEOsTCZJDWIb/hYa2XS4do1hqI0hjSi64LNm7L4TotIIWD4vho7VyTYuNUncdagNmgQ25aUL82TebZA5pu17picqX5K0xESay7tjBqzP53CrPnobYnuSBKhLyYCiM9XqA5nsUqC4iEdswGpc9B4VY3Bv7KpDZtUxzQmL11m88tKelRzwWwG6E0P78AA5plVemc7z4OunhXTpHl0kLVbLOxd6Hu6RWBqRAoe8WWLwBIK8I8b2LuSrassdZ1XJkidE2iOcpwCA8SOjVEVaD6UDkboqcZZeLPOoY/XGfyITvDhJsWbIbAiICG249PoM2j0K968DJeundYgrQp/kSrbod+bQWrKKZC6wIvrZJ8rERlN0hhLUpqReIs64190KY6qa6yWbWxfNX3buSyLVc0QLfjEH1ugdJtSQCoeUco8VjXAqnhURy00H6aOrjJ/bEQ5j60WA/9whs23HSL2WAHnaI7kXIPNG9NAoDJ9vsZyMYswA9rrcbwZyeDDAZVxk40bjzDxDwWqozaNa44gdRj7+Cxya4fGK2eIP7eOLKnGeeU7DlKaUtKeQw/kMXZbjPy3eZUhGOwlSESojcbC7yiN2GoDfbVA5qunyX4tXFtNcPI/jFM71Ys11CAda1G5RGKcSGIVNCq319HWYgRWwOn5QWKzFiuHbN575aN83ruU2qiNOaruVfvpJI1DDkvvO8jYx2f52mOXoecc7IhDaynJoW/scuYXxpn4UhvruUX0tk/1mhZXHVjh+PY0T/z8z/6/e+737X/ahBC86U1v4g1veAOf+tSn+NCHPsS5c+e48847eeKJJxgcHPzuB9m3l4Xtg/59e1HtJav4/6do519snW07UelQPccbyBDYOmbVw00p0Kw3VGRfWjqlg2GEPaMer/iyilxJYSIk3eZIAEFEbaNDF1Sf75CsvFYB+MzZUJ1FgllV0WU3aWLUXWRER+9cQ72BUVMUm9alijoUW6riZsKorJRdtR88H9wQyGvmt8prAt5oD8Z2dW97VDGzP96HH8qWBnG7241VOB5Uai88nyFlylot7zlhmqacKC8E+J6nwBGouon/ma6P326NQ8BOvQm+T2ReOR7Ny0Ywmj5eOuzmm7VIbBhqXG1HjTF0QGZ/VMmy5p+XqnNsOO3trEltUENIjdjmXlbCLimlm75H1Lk2b86RfLRB9Zo+9LD7r9Qlmi/wbcieCHsMjMUxmpLErIHXyZ5vqejx1s299H2p2q3zsNbKxJMGRtOnOqbux+hOQHRhl8iSBho0R9Oq462A8pE05ZmA2JqG0VZUFADjmQTtrCS+4eFFDEp/N8rAKeXw1Icj1Pt1pGYTf1QVmW68bZK+h0pqGde3kbkUrZ6weFnCym0Rxr7WQK80GVpX69KYzOBFof/xOkYzhpu0iO4E1Ps1gqggviZpZQV6S1F66oOqLkEr1jjyHxu4g2mq41ESnwLvoKB0jUPmSYtmXida9ImUlMpQbUjDSSm1Id8CswJ2CdoZ0AKIbXis32KSOS1JnihSP5Rl8xodIWH6v5ZojiSoDxkk1zychCD2TR3NDagPGJSvbUNTJ95fxywPY7QkiQdmKRydwTcF7ZRG8sEl7GcC5GAPa/4oQ4s+OM6ehOdBye5/HOfwh1eQqTjJFY/KlOrmW/MyRAqCGIoq49tQ/tEqtWqEvq/aiKaj6iNOe2xeZyB7MrCySfypZerXjBL7ZpXabaqbb2sgID5RYd3L0M7ZpGfV/PsWuGlw8j79Dxps3uHS29+i+tgEgw85FI9YuHFoZyU990LvP55h6f0zbIxF0Rsa21eD3+OQjrVpDIN9LE7+OBQugUN/3OYz/+ZycokGlUiAPJHEyfkkm5B61sJJooINMR+/aeCdi2J6cPr9aZLjJZadLPotM0z82VkG/3GK+f5pbGtfLeblYJqm8a53vYvbb7+dW265hTNnzvCTP/mTfP7zn9/X7f9nYvugf99eVHvJW3dHbAXkoNuJt/v7ec2xABXdBmT4v6g3aE8pGkhtVO2bWFb7NkZD0K8JMmcUUKoeUJ852Y6UoMSLqRdXJGwARsTCj5v40wNYZ9e/Zbjjf6MaKdWuHsaqKLBvzanIuDvRu7fhCwD2yMl1tl87RnUkQ+5EHX21EALYAH8o5LAvre3tH4LyzTeO4YXlB/njDm4q3x2/tauyB/XhCHpbgdvakEX+IRXOlhGTF/zqD4K9WgHX2xuv7xPk02jVMJrueXvrEYsqBaAXMk2jfu0YdkFta8yt7f1NCIhGodm8YJduE6vOB602rSODCAl63aExEqfZo7apvHmY3GkHzVHXaK2VQUqm/q6kjiElp34qRfqUTt+TDaKbbWLLPruXJHBS6gxuAvSW4s7XDqs5HPjaGqQSJOfqlA+r/gB2UVAfkSSWBLvToRNpaSRXPMrTBulZNVdOSpCad7CLsPruSXqeVffQuR8WjPyjwE0Y9H9hgaAno67XMhAbOyAEsZ0S0Zz63O1PYJUitDPQ/1ib1dtsVfALFI8K8s9pZOZcFt4BiRUTEUjsXQ+9rSM8iT82gF6skjvZYuNVGXqebUFmFCdtYDQDYps6Zk2CFGxfFQPUcxDfCFh9s8fgVwN2j8Rp9AqSKwbbVwkO/nWB0uVhF2oXnCxEClBPBHg1DTRB+ep+dmc0ep9Rz0Fi2UBqFoEJrZygMm6QXFZOVnUqACmwCwKzRneurK0qO9fncRM6sXWIlHy2b+qhlYPeZwOaOY12Xxy9FaC5Ok4cfENSeUsdbzkOSHq/oYqSrafTrN8EiTVJAjjwyU1a41nsp+YIRgcRvo/YLDD4gElzMMbc+0dxx1vIismR/7BG45J+0HTwJb6lMfZVl8q4hVFXY06s+7gxwcZrfNxCHD3m0soJaDsMfrPKyuuSeHFJ6Yo8mZVNZL1B7P7Tam7uPU3pTUcASWU7jnZJi967bLZu9Emd1kmsSVIPNjn39ijb10r0HZNCqYexhx0i80UGn9yFQCJ0neUfmwHbYuyzW5Su6iFScKmMWexeYlJ2UuAJkjtg1nzaOY3mQJThzBpnFwYwd3Vim+BOuNSvdmA7ojzCIODA30Gz1yB791lkPsvpDyVonMpgNUBzYPH9Bxn/60Xqbx8nMF4G745961pvby8f//jHufXWW/niF7/Ib/7mb/Ibv/EbL/Ww9u2fYPugf9++5+3Vd/wWHBzALChgGeRC+su6UiFoXBlGxE9tA+BnFRjTq02o1pXUY2gdik6nYZO9qI7Ryg+gOwHCl7R7VMQ4NacAq5cw8U0NqYkuiJTxSFdCtGOto8OAkt7sWgiOE8+ssflGRUdJm4PdsdiF9rds2zXPo/erC+pn09gD+oDWkRCNWApkC9Et6ux9okLpcCgRqAl2LlPjzB93u3Sd2HqrW+BsT/ZTu0Q5ING1JrrVKSz2LmzI1ZH4PE8SE0DbKu5RpzQNZ3pASUc2LgTt3csMi26jq3W0hvPC2ySjCF0jSCvAqdXbnPlQjOw9USBPz1MlapMpdi4P+yK4FsklSTuzB9g3rrcYeFQdv3RNL7F1B80N0HfVfTT13122rtJVQy8AXSN7EkTbp3w0hdGUqnOqZWCGDpufS7L45iTuwSYDnw35+gVB/2MeeiugZXu4MQ3DDFi9VSe6pcB+z7OhIzkepZUX5E66LL3OJrkE2cfBTUhFDblprFsonv7mub3CZikR1TqFO9Q9NPKNFrURG2kI3HSA5oQ1AjuKAtTsMcg/LtB8h83rLHx1S2Pt6tiDBrXhJKkFSe/TTWbfazJ8l9o/9cA5mndO41uqU247K7BLqu7AiwiSz1qU31WGx9I0BwP8iMbEF5q0B5JknlbPUuGGPK1LajjPJIluaiRv3qZ8eoDakIbehHq/ge4o2lL+hKQ6rFSDnJykisBNSvSGhuZAsz8gMDSKR21Six7egQxOWuDbgsFPzVK/fgKzEaC7AhGo5l9SgNQFuacKbF0RR/Mh+bUEzT5VmNzoh4HXLVP49Ci9z7pElys0rptk8Z2QfcKk/ykQy+sEkyM0bpli5S0+yWMGI/e0cZMGpUmd5kwfsaeWkO02oqoRy8cwTiwSffI8QT3bAilxEpNUXl1n4O8jJO47iQwk+nyLsT/2Kb/hMFY1YP5fXcLkny8iq2GWTUoyXzpJfOUAzX6bVtYkuu2SPqGezdxds2zdeZDBK9bxA42N7TSJZIvN6zMMyBx2Ud3T0vcZur8K8RhBIkL6K6cA6HtKp+eZQTZvSFG7tU47HWf51RaDDwXEF6oslRTNT2+rxmo9X7fZPQpyrEmwFVE1R5og/4EF1pMHyZ1ocvhDGzQvHSb6xDnWfmCG6iGP6l9auN+ge0/v28vHjh49ykc/+lF+/ud/nt/8zd/k8OHDvOc973mph7Vv38X2Qf++vaj2UqRordkwMt4pGO2o8XQ6zW4qcNkB+0HUwLd13IyNvR5y7kshL3U3bBIVar9vv2qQ/FNlkmcrXXUeqYvuNn7MRHMCfDOMvm+FVB9r79ETnWY8vsQ+pQp2ZRitFYVyl46Tf1Y5EY2hCNFtB711Eef9fAqTEHucdCnBcVWkH5CpBH4mpCDle7FPnZdhkBJto0huc5fWEeVcDD5Qx0sqsODHVdbCXCt16xKkgPIBg+Gvhk5TbwY/7Adgnd3oZkwuUOe52IKgKztqFht7Y+/87Txz+hTfxdqoEsRtVch8vpoR0B5IEFnyaPfGsHeaBIkI0WejREJlmfpEkuJhVaAKEFgqWpw74VKZMDEaUB+B1dsssqfU+tSHbTwb8s8oR6BwSYT4pmT1rcMMf2YJAh99q4KM2mSfUHNBowm2hRE1kbqGNDUGHnWRT5jEFnbZvTJHpKQyQO2sgYOKVAemhtTVec2apDGo6FnZY7ts3Zhj6fUGI9/wiD+7Fq5pnOZIinbOoJVVnU4b3z/NwAO76h4KpUjzX50DwD04hG8qjnpiXsOsQaeWuz6gobeh56kqhSuTjH9yjZW3Kn3uofvLnP65KDN/1GTn6jRGqYmxG0ULqV/16ybo+7wC0+20jm9Bar6FeWaVs784DUD8G2mkBunJEqV0Av2rHmaxwfprexj60gY9D2zSyg3gJhQXv/xYL+3bfHLPgpsEzZeUpwWRbQBBekFx4ROrneZdgnZeEt0SWGUNzQWrKqmOGKrA1lFqPe7BIVZu14mtCZIrAbHVBvHFAG29gHNoiNqhLJmzFQqXxcisukQLGm5cY+s6ybnnh8k3JLUhE7MWI3ZmmyP/V4vTvzdI+tw00SfOAZA8toV19SCRomTnCpvhz65iNHsRnlTPRbPF2g/NMPSFVSTgHRqhcGmc5IpL9NFZCCR9/3CS/rtSrL51mERYuCt9Hwb70FuSzasNRr5xoYxwx6zTq8AwXjRCs8cgvhmQPqayPz1PlFgaHKR5sI22YxH5uk1s26OdMXBunyGxUEPMraDNrqg2B9vnZUINHTG/ymChyomr+8jsSEbeuMSCM07q2TaNtV5E2oUAJj5bRGwV8e1pGvUYXgx2XneA7RsCtKcm6K1JquMRtt82zswfrUEiRnwzoF40aDwxyPjdazgj2X16z8vMdF3nx3/8x1lZWeF3f/d3+eAHP8hrXvMaenp6Xuqh7dt3sH3Qv28vqr0kKdowAq7XFGCvXaMi+4nHFHWmA1D1hku7V4Fh31Lg1N4KXzQhWNXDbq+02vj9GXLHa4rHDhhVBQb1nQoypSLM5pwC2qXXTwAQe35XaetzIbcfQPgB/mjvBZ/pQiBjoTRkTb3UE4s+Xjwcc8vtFsi+0DVj2xCEc97h5JerGFXlQMikCTLobl++KcwmPLSEvam2EbUmoCJ3xvJ2lwYkihUIAqydEgONXlojahtrt4VRbu2NI+QxXwze1QWE82tZXdUe0W6ze5uar8zxMqJcu6AGoONA1acy2EUHv+PMLRe7lJ7IsSVIJvCiGmZI6xn9/A7NyUz31BOf2qI2k6M0rTrdejGILpbxYlk1z+tgF9pdwC18Sfp0HRGq0mRPOyy9wcTahfoVChTHZksESRu90lKZnISNaHlITWPrGuWs6E5HajNBclHNU6PfVh14h6DvmTaGISgdMdHbqkuuCKAyISgeztH/uEvxGsH2FQZuXN3LqTNV/IiGZ4Mbg9RSKKk5k8aLZsg/vKWoUkEAqSTmZpVEzMDebJCYF2gbRfzRXoJwblu9Nu2eCF4Edm4dpJ2Dyb9X93JkweL0BzSmPtnizE9k6H8k6MpPgnI2489toh/sJb4uWbs5SnxyiqEH1XOitwO2rrRoPZNj4KRk4ZcdYvfmyT/XBl2jckme1IKPk9Jo9qiGThOfqaLtVth+zSjJZYeeu9apXzXC2s0G9WGN9CzEtj2iOx7ttMH6UQevEKExHGAXNdpZQaQA8c2A1BPKsa5fNojUJYElaGU1zP4oqz/gkksnif+BRvLBc3iBQ8YaxtBtIluu6uXRzqG5EpC4CY3KgQj5E1Wa1xwgesxi+3IY2R7g7A/HiS8lu9Qp4cOZnx1i+pNVvLiJP5BFq9bofbZJ+dpB4isZjDMrcNkMpWmT2Ok0sliievsMkYLD8CdnL9BFD+I21VGd0a830KstZKhMdn5GTbbamMfmyT0vEELDmxkF10O2HbSdEqmFNIFhY5UhWvBYfING7jnVmXj9lQlmfi8GiRhU62y/foLMbAvj+AL16yaIPXSW8nWDDNwraPQJUmab5IKkdG0fhz9Woj2QwIt6CMdj685p+j83C0HAuQ8eoufBTXS3H9+E1LkGbspCGioDUpoyGfzHRRJLeXU/lqtY5eo+vedlZp31+MhHPsJXvvIVjh07xi/90i/x8Y9//CUe2b59J9sH/fv2otpLUuwTvii1UM0m8WSoLKPrOFP9IMHaDLvPdgBtWLQr6q0LjkGtQfuQioDbZ8IIebiP3lF5EWIP4IbXG98IpUL7Moo2BDh9ikJj1B0CSxUR+rEwKi7B3KkhM4kQdIM3mMNYLyKqYNVCvkW1vldo3JGVPK+BV5COdzMQ9tmNCyQwq9eP4bktEnMSqdsgBOkHFtTfLZPGmBpf/LSDsRKqA3XqIEA5EWEUX2s5BLY6T2MkTny+snf97fMoSBdbZzzn8+81jew3lym/YpTKTJrEooHe6bQbBESXy7SHUmhNSXk6SmLVJXJ8tbtvZ+7bo1msqkcQUevjJVPgS8xamBGo1ND8HNGdMNMSQGssTepJFT3fuX2EViaKWVd/92IaO1emkJqiJQMIF+Jrknqf+ioNjCzttEZq3sTcCakWhoaxVsBNxJXijw2WFBRnbNw4REJ2UGBAakXS6jGRCZPscfWZb0NtVHSzEq0eg/g5ocbhQfo5tTalqTRuCoyaUq3p1GUMPFilfEUvdjlLs0d1adVDOUv6Y9ibDbbedEDdc83wWXEk8fU62SBGZdyi59mA5nia7csMtDbE5wyE52BUNZwEFF7hMvq58Nn2PLyJfkUNu1Tps2dP1Vl+bYLRr6nnzKxboEErIzCfSBBYim+//OY+Bh9udJWnzr0rR2IZZMSgeOsoVkWy9DqL1PQEwoPh+9RaVsdNtq8yiG5CYs0j+2CE2PevwzcGkTq0egNEoOFFNVIPubjTg1hll9Gju8iv92E0Araushj9uKRwtJetd7okrjjI0H85wfZVEXKrJtbJZTAMAiNH+p7ZC27j1lUHiD6zyNiZGHM/PoxWbXH4320gh/sILIPy4QTpBY/8CR8vaYGEhTsTTP5dL+aJJeTwQfQzS0hAdySNAUHpugEy99SQAoxyC9nJZAmBe8Ukestj6FPncGaG0Fc3lSzuzBjaqcULsn7uFZOYhTq0XIz5DWS7DcN9yNUtVYwubQJTKVCN3COwd1us3xihb2aH2Z+dwNqFvmcc4use8f97jeW/PUJ9CJJ9h1Wx+VKLwqVRjn39ELlmQHVEY/vKHF48gJRL+sk+vCisvWuawITEMriDaZo5Qc/zLfTTS+gjAwzfmyKyWqF/xwTHQau10ADn0nGsuc39QtGXmXXWwzRN/uzP/owbb7yRv/mbv+GjH/3ofrT/ZWz7oH/fXlR7Sb+4G81vUfGpDyvwbJ1RQC/oUxSfDqVG70SYz6OPaCG1pwuAu0BadilDu1co3nnuQQVemj0G+cdC+ks6zCZENPRWgBe3cJMKmGqhoovmS1rDij4TDRVUjOXtvfFXagrgdhRvOuM47/r8MKPQ7QkA+GMqKq4vbZE8tokXOKqg9XKVYTCyMcy5DXA94k93dB4F268dC8cFuadUZkG0nW5xrtitEtutdufFGcthbVQhGVcFpZuFb12P8/n+51vouHRUj/yYiW6a3W3FbhUzrtYtLkBzgz1FIj/obmefWKZ12Rh+VEPzQqUcUxCYOlahgezNYhXaGDW9WxzduGyIxtEBAlMQKfoICW5MUwDbV7Qpqy7DSC/0PxGe1pJsXyMooZGaDeld5bCmY7SH2tEM+RMexcNqnK03Kl57YIMXgnkRqF4H9QEDbHWMSCnAbwlEoNR9AlPp+ps1xZWObrVpD6kMS2xbEjnjE+iCxOldmuNpoqsdkO1TmrawSwGtrIZdVnOUfHqTpXePInXInA0oHtGY+JzyQsT2LhEpWXivJHrGJrkskNcpZy44lqLVa2PvKiWa+BmTVlYSLfrUbzhA4YhBcjkgveDTzOksfF8CowmV6QTttEBI5bDEtgJKKUUnmn9nDxP/WKZ0NEXum+p+MSs5KlOSnmckmzdIhu+F6LogueSy9Aad3UsMZv54k9gsFF7Rj5sQJE4WsEopdv5xEEtC+YYWYttG6uCm4PSvHCD/DFQOCHgwSvutLvEzFrFNSfTYMvLSSUa/pNFOSxZ/Ygq9DpvX6niRaVJn63gRwc6bD1G4SjLwAFRHNTLnfHXvVWv4UUnp6l4yd5cQ5Rq60AiMBLvTBrlTEuFLos8ukR+YpHBdnp4vFomvtlXTracW6fn8GfIyoH31FNL1SD+z1a1NQQjKbzhMfKWFVmnRumQEe7PG7K8eZvrfn0BfL7L7fUfJ3q862iIEetNFrO+oTIAQrP3oUfofq2MUI5jPzZObjUIQ4I/1oTc1zOUC8fERSg/3kZ2X5B/aQO6WcC8/wOm7pmhfEmDUNNLn2mhtH73S5MBnA0QQsHlDkp5jDltXWwzf59P8uQqbl2XIP2FCsJflWnxjFOGB5gTUX3mI+DfPoA8lqB3MYBdddt5zkJ5nWwSWhuYEtA8O7IP+l5mdvx433HADR44c4eTJk3zhC1/gfe9730s3sH37jrbfnGvfXlR7sZtzvXHsF9UPF0XeuxYC98aMAr2xYypiHAzkEGGRqOioyYT/y4xyDEQ9dAg8rwv2/f4MsFcoW5lJE90OFX76QychHEJyvoEWHqM9GBYXNz0C80Luqr1WVk2AUHx8UQqj6GHxa9CfRVt/AVB9Hqe/fVhlJzpNujIPLIPvK9AvBHqvun5RKO9lCfoy1CfUuJKPr9C4VFFYpCmIP7G0d57z5jToVdQYbad0QaOwrgrPtwP6oLr2hnPcOjxI5Ph5jb6E2HOudB2ZTVI7mA3Htrw3Bl1T193Juug6tWtHscohtaTlIXWtW4yLLqgdzJA4W1K/+xJnIEl5UjkV0YJPK6sRLahz+7ZGYEA7o9EMg1m5kwHb72zS82nlzCUWm1SmY2SOlyldogB5dVQQWBBfoVtXsHO5hr0LrRzEwkQG1RZuDAwjghEmP+xyQPrBBbXP6w8AiucPkH5kmdLNoxSPqnvBnW7CRgQ0iK0IogW13fb1AX0Pa5SnlBSmtQv5E053bncuNUmuBtQGNYbur1C4Irwf21AdVw5H/+PKafHDZbXKqqlW+qyg0a+2rR11OPz7ytEoXpUDAbURgVUOtf4be68bJ6maccVXJcVXt4g+F6X3aYeF90pm/qBFc1jRoaSAwNQoHNUYfNjBTeokH19h7qfGMZpglWDwi6qR3dpbRxG+arhVmTBJrnpUxgxqo6o5mpNC8f031Zg6jdPMOlSuaqNvWfQ9Kck8vsniuwYRuy2MFgTZCMkV5RRlZiXZu86y/eaD9H5xlsorp4ivNDj3tgTD94fN75bKnH1fnkMf24TdMLMYjagmfJvK+S/ceRjfFuSP1SlcEQepejlIDQa/tkHtaA/x+88gdB0pA0Q2g9eXwljYpHHlKCt3GBz8rVMwMqCe24iN3CmCEIh4jPbhQayNqnIsvjynMgWBVM3E+nsR9QatQwPYW3VYWr+gf4ccH8JPWuhVBwwNbWkD2ZejejiHkxSYNYnZDIg9t4as1RG2DbEo535kEDchOfhfq7gpGyElXtygOGMQ25REip6iLm0HlCc0YluSnidKVA+m2bpGOX9aG3KnfVZeCxOfCzCrLkuvj/H4L/wE8OI3dty3F7aL3+W//du/zYc+9CGmp6c5efIkhrEfU34xbb851769LE3rqLS8WNYBmJ0XWuf8nc/D4rfY6bDwMuTPa5UmXo8C98a6AuYyq4BQp4gXx9kDmxEFEvW1kF+vazjjPUQ323hx9Zg5ybCYd1dx6OvDUXRXIahAFyQfVTUGzctVQ6RWToF2+3QdJ6QUWWc39op8W2Hm4WJO//lR7/Ba7VARqJ0eQ2qC8o2jpO+fUwCA85ppnXed2kYRMx/rHiP27PKFc9jdYQ/IadshVyUaUfMDexKc4XG+rVVr3S7I9SETzRvC6lCofP+C4l6xWyW6pcbWOjqE8CTWTliDUG2q9QivP7rWZONmdU3peaVt3vekWq/EbAknoVE9lAEg9cgS/niazKy6LzTHZ+PGOI2K0eVmV8dh6q832bxNybduXi/wixEQsHW1YOuamGo2VWniWwr0RwrQTkNtFEqvUceOPBUjM+sRXa1176nioajiMRt7VBsvpuhi9esniOwGJB6Z35t3oUD8+BerzP5gHLZtMqcFlSmJkwWzLqhMKzUboyXJPy/xooKtmwICU811fFOSWFfnGvnSFts396piYMCqAgEkFyS1IUNR4Tp91wzIP6dqCIRUnXR77zdZfa2SJzXr0PdwETeWY/eSgMSCRv8XFlRfhLq6d92EiZvQST0URQSwfYVF+klws6A3AxbuVPey5goO/tUOZ34ij9Ql8o5RjvzWPM3LRli/yaQ50090rsDQF9dZfvsg1VGTgc8vQCyKF+nFt7RQdx6im4LkUkD7x4oYrkH8v6Vp5gXpJ2zaWVh/nYsTH1ROV9i0buQTZzn14SkGHwhIP73FuQ8eYvSuBiQTxJfrSE1j8BGf2MktMA22b+kjewLqh3tY/cE0h36tyM5tQ6Tm25gh6O/50lkFsD2P/o0U628axqpJnISgMZ2nldVJ5DIQSJbfNUxyOaBwmcboXcNYuw655w0qd8yQ/sZZpO+rWEKo1hT0ZLCfWwJdJzWfYO5npxn7WgPN8dFmV9i8rYeB/3YazQs49S/jjH36EPGH5lSBsJSIxTW866cxTy5DNo10PVjfxhhLI3yN1e93EUIy87ygef00sZMbFG4eIL6q1L/cdASz2FT9Gy4Zo3JEIgKTzKkm7etMrDcUSH2ih8q44NTPJImf0xh41EdzAqyyy8odMfoekbhxKE3HVFbgxX537Nt3tIvX44Mf/CAf/ehHmZ2d5W//9m/3o/0vU9sH/fv2otqLnlj6bo23QIHYtqOi/r7fla4MrBBkhrQe0VK/y6h1AUiGPQ14b6IXaagvQ2tVbSNHMoBKa1s1Be7ceFgwGQl5kfWgC6bNahgtfH61ew3WUrELnt0QiJvbNcqXKhpR5oHzIu/dLrutb5HxTD2yhDehwKo/NkAjBHepuUq3WPb8a4ucCMdwXqHtBcC901wLLtTfb7aU89H6Dnz+i02IbmfX/D1LBH2ZbmGzcH3wJRuvzABKWefgf9mG3bL6ErMtgryKOAnPU/r/QyoUr28UcTJJMmcC3LiG0YTk02vdAmmpQerZLVbfPEh19ADD/7BI0JfpOlPp2QMEJt1of2VSZ+vWfrKnQ/pRJIpZ0yhNC9Ih1bt8UIIYBKki3MIHJwPxNRAbYSMzCe20jhtPkfnmIpVXjKO5LVSBKHhxReMBpYpjlVyafbZqMtaJHmsamUfWcUeyTP+dyl4ULk0Q2BI365NYNCBcrnZao+++TcpX9DJ0j6Cd3uP2N/OCof82B7rO9iuy2Ok29sMJ3Dj4EQgMgZuAgceamHMbrH3/ATQP3JhSCso/ryLqPV+dh2iE0z+nnFQnqWomDn9sl/ZAku3XT9B7/wbbtw6gh75gar5J6nSLwDaVtr0XUJ9MU+/XyZykmxlrTmTInFLNt8ozAUvvPUDPCQ8nE7BzmUXj9QP4KQ9wEVZAKz9BbFPJsI58epm5nxzlwOcb6OUGwvHZ/Md+nCEYeWqb6lt7ia9J7BJkzxg0frDI8L9y8MpFVn5gktbl4xz+nUXO/dQBotsZJv/zWdbfeZDBpR3clE1gaySeXEE2Qipeu4/WD+xSAQb+Kg2aoHJAEF/T0GbG2D0Sw2iB5krqgxpDnzjN4H8/o0A3IHJZNm4coDY6xMSfnCa2Kcnecw7Nm8Qst9i5Oo1dCkg/sqz28X1kvaEA/8ExNm9MMvSZErLeQGv7aC40+yOUD2hoNx1h6O4C/tQQ1oll4qcOsvzaAOPGGSa+UAcJxtIWxaMWyeRBUk+u412mMkyx2SK4HsNigEAXnPngCIMPBeD5bN3uknvYojkcR7gSEzj3swdpjzmIlkb1mhaBkeLAXy6y6IzDuHIgzecN3AQsvx76HjFYfZUqYPctQfWojl2EgUedF//dsW/f0S5ej0Qiwa/+6q/yr//1v+bf/bt/x3vf+17Mzrto3142tg/69+1FtRf9i/vihlu+/63R5o6kZAeghttas2HDqWwSUW2A6yqg6AVdZ8I5qPgB1tlw21ysG7VtTipAHllXyC1batIaUJSFDsdcb2uIi4ZjrOx0o9QypbINbl8CJx1mDFLKwYiZGsmwF0DXYQGClAKzzSO9xI+pCH9rZoDICfVzp8NuYyqHvR2CR9N4Qcm/rqb+RY2uLsiYnF88nEpAudqVCb3AOi8A96LPLz5ueB1aoaKKhcP18od7SS+GjZnWhBpvp3PwSA/GVkUVVSdiUK6ye1RF94PLk/Q/6tLOqfkb/XKJ4i0j5L6xAEDPoxKaLYa/okL5zmQfzT6bdEjv0jxJfMPvgs/EEhSu9ck/67F1fRLhQ2zbx0kb3S67VllQOSCJrwmV2QGiWxq7V3ikThlkz4RdleMamgdr/+IArTz4LY3YJlgV5YxoLhhNSSurE5gCNy6oHsmDUNH05IkClCo42X62rjZo9fmAT/Z5HbMmMBsB7W0N45VFvMNwdrofqatGYGZNIsNllB0mWD5NdNlErpk4GfVZ7mRAZVSN01zdVb0UUtAcU9eQOWZQuMTArAJC0B7Pc811ZznxuUOqK2xOsH5bHr0Nu5cGOKlBhr+yxdkfU/Ulrbxq4DVwXwmnL4Yf0Ug8u0HrtiGqo0p1B2DjOoPUvERzIbqpMfrlAgtvzxPdVBkJ86xg9wqN6KreLXouXCnpe1xJmo5/qUHpUJTdI1EGHgkQvrru0pV5jAbk756n8opxNSbHpHxlBmM7Sn3GoRikGDrmkX8+QK+5FF4/zeAXlqHZYuNGVZg7tpFFK9usvWmAoU+cptqYpjasI/WA8jUDTP7VKmd/apjEikVgQM+jO/jpGJpn07h+EqPh46YMrJKLcXwBqzKAk4aFn55h4pMbyP487ZRGeqNI5qzN2i0RYhu97Fw+zuDnFpDNJiKVRl/bIb0Q8vSPTmDMrnLgL3RW3j1JZs6nNKWzfWMeqxqQWYCBR9VkbVwfYeu6OHob+hclVlmyfaVGZCfP/FttRu7xqUz0kT1WJnn/LEQjJJbzbF2ToPHmCQ79SZWFt1jobZ2eR7Y59eEUufth5J6AygGTwuU2UoP5nxinnQtIn9ZILXnov7hB3bGJfLYXJwl2QTVo632kQOHaHL4t2LnM2gf9LzN7ofX46Z/+aX7v936P+fl5/uAP/oBf/uVffglGtm/fyfZB/769qPZiai2/ceTn1Q+dL6cO2A+lKzuqO127KCsgc6m9Lq4h7aQj+RhdUNuYm2Eo1jTBNLDWK13QrdcVaNy6IUtiPWzmVQyj9aHuvWbIPdDf4a0HQTdKHdgGBBKt7eOH9QexTZd2xqCdMZDhkKPrBYJ+xXGvjyeIbLexSg61q1TDL+FLggHlhPhRA3OjQmy2QDXk7MusSeR47cJ5+ieazKWUfCcowP/t7DzJvWCgZ48KdH6zriCg+Nop0meVM9PqjRDZUA6HXm0S3yjijYaSp8lY93jG4hbugT5kSFfyxzNkj1do96i1iD63QqzjlACJ5b0sSGCbaEJApUblpgkAUidDylTLoefeNUVVMg3W3qqoV4P3CpbemMTJynCcBoMPOazfaBHbhOiWoqREtyUIKE8odD1wn05gSFo5nUafGmtiNcCzwY9IAg1qByAYdsg9auEmoP+rqrZh9+YRnKSgmdcV7UZC85Y++j5fJv7EEvG+SRJL6jzttIrC621BclXS+HoO4UMccJMC3QHfVnUGqqASWpeNETm+QmAqxZzKlCRzCtyooH7YhYYOjot7oA+zDto59fqojaiIbWLNZ/1tB/CiYP5sH/b14bJHIFoIKE1rHP6TAovv6GXj9j68pM/oVzuZBp36ZJK1V2oEVsBAYpDojk961mHnihjCh+yZ0KGq+iB0Spfn8OJgVtU5rLJEmgFWSUd3oDEIdlFj+xrJ5ivSEPcZ+WxA7xU7rMR7mJhZpXX3MIV3NIg8lMCdHmTncp1IESL3J3Hjkvh9qxg7U/Q814JEnOp7K7S+nKH/3i3W3jrK0CfPMnxfk6XXRtHKDaqX9pI97SJlQDsTOkqNAHu7iTOeZ/wr6r6zTq3gzoywOxOl7zOnOf1rh5j5D8u0bprAXC7SvG6a/HGX+qCBVZWwW8YZnaD3M6o5l3ViifHdXtxMhMhuwNo7JjBrkt6vzLN55yR9D6nu2/qJBdzLDmCeWGL4r08iIhE0d5SV12hoTQ2rdoDYI3NIGTDcGEGbXUGEEruxHZ9mr8H2VRFm/nCVlXcM46TBrCfRJpJsXK/jZnxSZyC17HHmx2LknlFZoYV39pF8Cvru3eDkL/QxfK8kuq4x9MYlDC1g7dMT+DYUjhi4xQzG0wlsDcqHAvSGRqQAp34pCfUAa1fHKr00PV727dvbC61HPB7nIx/5CB/4wAf41V/9VUzT5Od//uf3i7BfRrYP+vftRbWXRGu5Ayg7hUWd/ztfROHvHRApdquga0ofPvzMGVbc7Fa2o7KjqCSR+SJ+PgGpCF4ot2mGGvVOPkazz8SqS8yKim4HoTZ/YArMioveBD+UlCQIurz1jva/7vo0h8OmYeGw7ZUKejMcqy8xdmoQi3blPpPPbnaj7OZZF1IK2HdAt2hZ3W630edVpN/QrAvn6p8yp2GUvQv4L7qGC6RLQdVLNJoqUtwbQ0uHykmnQwpRuF/uofWuIlGsHsfLxtArbYKIxfI7+hj/+Hz3eF5fCn23oQqcPYm5rKL17mQ/lUNJzJBO1bhyFKPp0+xV15m+/1x3WNrGDrI3S/nSLJn7VV0FUqr5SodFg0017qHPqbqG2pVDjHyjgblc4OzPjODFJPUBE6NJ18HzogaBCW5CIx5y5jVPKopRS3YLdZPzTaqjcRKLgjBRQGTZonJAqZ3geshcisyxIl42xvaV0Qs6lBbeME3+q3NkTzeoj0RopzXMJrSykDvtqT4ELdVlGBTXvnCNR/qEQWMAvLRPZENnvddiUIww9IAqgh36po8XVWs88feSwArYfOM4vU+WiRQj7FwB8VVBdBuavRBYAjcOtUMu85kM8TW6xc6VadCbQLlKfK2HygFB/8MaiRObLL9VZct2rhbknxE0+3WcBJSmNSJFg1ZOZT5EIHHiGm7UoHogzII0lMMy9Llltl4zil41aA6AWYEDn9zi5AfVAIQniD9vsXp7gP50P5Nfa7P4xiHSu1Cv2rgHAvLHdexd8CKQmQtI3XsWL/CZ+qNZnOsOYSRjtJ/L0HeyCTu7uLE+ZG+W3UNRojuw+eoB+j91GrJpiMWIFnziTy5DPIYsFBEHhtm4KcXgJ04iAfPEEhkxhhzqZeReXzlUMcH2HUPkjtdx0ha7hwXD93pg6Ky82ma8OYaQksDSMc9tUrgli12RWFVJ6ZAge3qA9LwDK5vqFpES4/gCEqjePkPyRJF6v8HoXR6L/8KjnTbxbjtIK6vR+r4y/tNH1Hz5qg5l9EsFTv5CiuFPeTSubZJ8MIpZD7B3mkwuS2Z/MIWbUDS16U802bkiRu32OsbJOP6ryqxoA5hV0DyfwILyX42iv3cLL6oKdlNLAeuXWEQaUJ2A6LqmFH5uL8Jqil++40v83oNvwIsZ+zr9LzP7duvx/ve/nyeffJKPfexj/OIv/iIbGxv81m/91os8un37drav3rNvL6qVywpkptPp/+3nesNlHwaU9KD6IQT5FxUgyd5sF7g2LgubLD2mQGEwobjJWkFFsGuX93dlNWPPh1KYHZWakB7TnhnAKIddW68Mte5DnX6j7nclPztgX3ODvYLVsAjXG8wR2OrvrR4FVO2Si7WmxuH2KwQndUF9UP09sdTqHrdbD3CxhQXHHafA9VsQBJiafeF2/xTwf/48XszzP+9zmcsAsPT2HsY/udY9v+pBEPIwztfyF2LvGL6POzVA6aCK2Pc8WaJyKGwCVvHUdXbW1fPUfmE0n2qd9bcrLvLAvTuIndKFFKNUEirnZSZ0/cKskK53HSXZk1H3SCy6RwMzdJU1SigHbPO2PuxSQDt13vVrYFUCNA+cRDhOoZy+wFARcAAnoSEFtPUmvgW6HaUxqqKeB/9kmZ3bVROuwmtamHNRWkMuiVmzm+kZfKiJdXoV58gIgaF1G4jtXGFjNCC25VOe1EnPq+tppzW2b3VBqGZbWnhJ0W3o+/K84oj355GG1nVAg7jN1jUJyjMB8eVQeeg8Oe7saZ/iUZ3ITQV6/63B7qUpCpeBGFU899Q9cfoeLlI9mKY0rasOwFJ1Q46EdfSDX1mjenk/0S1VAB9ZLlO8pod2WlAbV0pBHSpSOwXNIUlsRdDzvEvhEpOBh+sIP6DVH+0WHjfUI4zUILKjHKnYls/2FTqTHzsHQrD7qnGKRzW0I1VaVZu+e0zsso/96FkATE9D9uWpH1LZtPKEzvAnZ0N6WyjVm04pcC80ardMU/mJMpX5DMPfkCSPbe7R0UKH0ptUA/PiJvZTc5RfO8PGzRBb1kgvBKS+fprKq2coT2iM/eVpzvybQ/Q+reovWj3Q+4xP8qF5/NF+9PUCeB716yZUL4K7TiFSCWQqTnswyfIdFv1PBMRXGtTGYrgxgZMSOCnlNKWWAorvrKMJiXcqheYpCdmeYz5WycM+vqS+50yTnZv72b4+4BVXnWH9N6ZYeIdGdMXArMHwZ5ZZ+KFR/v/svXeYJFd59v07lTrHmenJeWZ3ZyWtchaSEEIJRAaTBAZjwocxwQaE/dpgbOMXDDY2xmCSjbGNQWQJSSAkoZy1iju7Oznn6Zyr6nx/nOqeXZIxSJjX7HNde+3MdFfVqXMqPOF+7rvrrgpzl/kRrgogkNB5T51Ct0m5TR2z9fEaxU6TYrfqFwmsQ263g5Go4HsohBME/aQsp3QsMpFp43tnXQ38at4dx+y/tp/1LpdS8rGPfYx3v/vdAHz4wx/mPe95z690fL9pdoy955j9WtqvsrFHVD3+eg+aQ72+w63vNes2M/peM2pgUTmBUipnTNtUD7bCiZ1IXXlYxU4PUz+lnP3MqarZNLBRx8jXMPI1in3KEYzMK+e/FjUIrB/dM+AaokkR2mQGyhSafQKN4wWXVErY9euInILg2ENxAnNqbHpZOcT1iIleddBrRzjgDYYXANNABtT5i0oVpERzAX6K836kHenINzL5R2Z6jvjc7m/HaIhpAdXuKP6ZLfq/skKtL0ktpq6B8KOrOxCr6hH7sFVmu9FQbOSqtN3u9R5UqiBiRKY8Zz3g36EDDQSgVFIaBt44rLyk5fYdnYKj+glyeTBNKh6dqX8ujd0WwVjNNOeLXAFcVwUMmoYM+prCbcXj2/Gvl9EXN8mf0UdwzSE8laWeDFLsspRKrQO2X2AHRNPBd3wC24sTba+RWwpVBdB0neCKi264aLaGPy2RkSCllBLj8j8RoDRgo5V0lY31hrp2RoDegxJrIU36jHaMirrGjCIkDlfYOs5Pz/UbOFF14NUzIiTut6gmIbgiKXYJWg6o9dy4bACjrBpHhXf9FM4cAMCXk5hZjZ4bNsmNJUFoVBRqjPVTdYa+uo17s4+ZqyHxHei60yX8aEatC5A9f5jAepX6KQF6bq1Sardwddg+TqDVYep1Xfg3QbMtzILN+O8niXZnyG2GiT5mUg9BZFFBhQCstGIv8m2WSRwWFPoCmCUXVxe0f3OiGbjN/u4oAkiO13ANgZWrM3CtzcwbhxSGvAbJAy6V1Qjas7IkHisx8boo4Y5hkk+WkbqFtZjGytSxnpgjfI9GfVc35mYRJxZg7YwwHXdmWHjpGH3XpTGKDqm/8tE1PU1trIftszsxiy6RJzZYvqwDf1oSWq3he3weI+CHSJjwQoWR/5DMPTeEmXcQpknsh5PE4jGIR9n115NgmtSeM0B4QQW9hbMGWT1TRy9HqLa6kKghdEn0iRTYDuNvjxJIVOj/hEstbrJ5Ypj2HyyzfXYn5fML1FaD+Dc1lp/tsPd9Jcbf3gqdNbS0SevYJvZEK8GlGofeN4JvU1CLS/pOXsL8dBeTA61sP9uk81ZJvlc57PYreikP1SnO+Dj3wie45wfHIzWwwy4rZ5sYFQiuSjKXlMgVQlQSEFiD2JRLcLWG4/Nz9UXX8YHFl6H3FakuRLhrbgwcgfmMY02hv072s97lQogmnv/d7343V199Nc9//vPZvXv3r2p4x+yn2DGn/5j9Ss1uCEk9zXbpye+HkB/hOOA3lQOpaTvOfiOj28D3exlwsZlRv3sPtNpAG1rNwb9RxfE3BLuUwyE9dp/IdJFq0o9jalT6VKNuZEJVDtbPjhOdq2MWnR0VVxdqUVPxcntZadmAGLXGKXuZfbOoxuaby1MZ8DyrhkCVLakndzDtAGa2RnaX+lvLoZ9QwBNaUzDK7Uii5cpIp9qE+vxcZho7c+aNF1DNzaaO2MoqETFNa0J0/AdXyJ+uMtW+dJ2CFzRZmZZmszQ+n/q+ZYLPY0dqnOtm5igWouBKhdXzVHap6ysb4LNwOlQGVl+oghCsX64y/KUOaGlQhzYHfcTc1OvUw2o8xbNSaLYknleOsbQMtGK5eY5S09BKVWr9LWRG1Xf8G4LaSAfhQ2kqfTEqXRH8y3kCpkY1rta0HhYkx6sY+Rp6WgUkxb1tFDoM9BqEllUwaKQrFFt17ICGv2bj3wK95iItg+i8EtUCKBqS4KxGeMmlktRwLC+bKgQUilh5l2pcZ+t4FVDUI37Cyy6ks+jZPGtXDhGdge1TbIJzBnZAYBZprouQgITtZw/j37QJ7p8jfECp/lYGk1SSFqWhuGIDunaS9EVDbO5TY5t+WRJfGvx3QXS6xPppQcL3VxWErlojdusEGDrOc4cpdFmsn+0SmtGJH5JsHw9WTlCLQ3rUoNirEzsoMB+IYw0JfFnJxlkOWt1rGgb6vrWO67co9YcpthtYRQlS9c7IjlbqyQDmRoG+G7LYYXVfWek6a2dFCS851KKSykCd0EGLSquGWYC+P6kz/vY4QncotrtkRg3677SoJdqxMnVqx/dTTlmkd2m0P2Cwuc+iclqR6qEgXXeUOfiWKEZOo+1hg7WXDdN/fR3/ls3CpQa7n1AKy6sXOOhBF3NqlJ5bK2RG/KSunWTu9SMYRTAqDtnzh5pZftnVhsjkGP/TXnybMPTPSh1443mdjPzDDFNvHqTzDjjnjx/h5n86i6lXBxj5uwn6rmtl8aIQtbgkdMdhQkDllGElYnZTmPavH4KAH6e7BaRk+Ks1pl5hIVzoj6bZf0Ibx79jmpmZEWpOEDtms1UMEdJB/7cWnHNUM3jbZYto1/VgB2HkX2wWLzS5Y2oYt8UhdbeG/qoNcmU/5bkI5T01oneGqCQh/IwNCne0YVQFtZhBcazKnz/2HHChvhIktKARXlY0pr+qd8cx+/ns51mPP/zDP+S2227juuuu42//9m/59Kc//SsY2TH7WXbM6T9m/ytNeI6dqHsOaiPb7fzI7w0HsAHZaIhHaRr14Q6E46JnvEZSL/Nux73MemsYa24LvVilNrQjJARQHPR44ad3HM5yylORXSgS9Jyo2oCqEphbRcq9ypF1PDVWva5hFmyq/Qn8M1vNcVfHutBstwn/cXWV7SQELT9c+AmT4Q2qXldVBC/wkQk/tl3Bd/BnOP2N7LtpIGPh5v7EZkZxjJs6G6epcbdfO43bqVhltExxp2rgOATWGnSfEn/GxSi51GIG5XP60Kvqe1bOxmqoBx/Z+PUj2FFzapWuKVQW1zSRsTD6gocP8Y7ZwK/Hpl0V4Kxs7ZyLpu1k/ONRIvfNsfVsFSTkezSEGyewrj6XyU7WT7aaGPqeW3IgJanb1poVBnekk0pvtLluhZEYkfvm8YeC1LpiBDbAOniE0BgQOgBGIYnv8AqFU1VAlO+LEZzIIDEQjaFWHJyQhe0TbJ9so1U0tJKOWVJj9adRjZ4N03WWztcVa1BjSgwotWrEvbls/+6smu98H+k9IDKQH3QxO0tEb1DXcW5YEFiDStyknBqm5SbVR+F/okRC9GAHdVI3zlI4a5DQUhWjYhF5WK3d2iW9zQA3e5yNmR+k7buTShPCW4PkAdWQHn/CopoAzYZdn9tCuG7zXpx6Q69yKG9boe3GCgiB7R8kOlcn+MgC028aYvoVKRKHJVIoTLjdVyX6gJ/Qikap00ctos473+sj/dwSPZ81qVk6lRaIzku6b3NYeL4AF/r/bZaNS/qZ/3MTfU4HCU7QZnRsicXSLupRSfyACvbab1lh7YwOFi42cX0uQ5/SKfSa2H6L8KRqLLYDMPCdGtNXCWKPmGo9pKQeBa2s0X6zj1I7ZAfVc2H9yhGS4w6ROyYhHMRaMIg9jBL10jRkTzst+3XqEcid1k10/yo9/3YY4rEm/emTV6QQn90idEML0rYJ3ztDvGsE4drgSoSloETtE2Fmr+qldMYQ/rUS2qF5tp43hmbDnn9MM/f8JA/fO0rk+G3unB9CTocIH7dNfjJBljDVvRqOD1ofloRWqmx/vYfCqCQwmEM+K4dxQy9nDk9x5/Qw2ZEAlYUkZqSGE3IQdZ3L33AXX7vhXLaebMXwgz/tsPiqOpoLciKMLwdGRaBXYP05FXq+fCzL//+q/eEf/iHXXXcdn//857nqqqs499xz/6eH9Bttx5z+Y/YrtV8VA4PIeLSUDYz+uJeVaNBSNgSs6vaOM9jgm/fgMQ2nutrjNe1OK8fb0DTsqAfz8PYTmVHwhQa3//ZYgJYn1N9ETTmtgflsk92mPtLA8xoKUqRpTUepQQ3pmKIZaBxJJ+qbVcwyTmtk54Q9DLeMhXdUdRswovYE9ZjfO56OVve+K8D3xKo64H+F4a/bTbiN3ZfC8Dju7YiPqgfprO7pxvGpOTQiPqzDO7AaqQvqYW/OJU2WnUKXRuKQmh9rweu9OBJKdCQ1qPezjEdBF+R3q+x+YK1CZaSfyAOLTThHYy4T961CrU7mggFAVWX0hY2d5uZMDjSNlvtVEBbsj5PrNzEqaqzhJzfom1WsSttnd5LZE8EquFiTJTa8akJg0yG4VMIJqG0cv0F1dxe+J+exGj0DDZhVI8jMF7C2/GDbhO+bBU0jDNRSEZyghf+xecXHD+SOU4FU4tGdx7WVk+h+hW+38i6Ru2d25rqrQrkeIH5YUg83Gsdh5SUjdF4z0exnSDywji/Tgh3UqYU1imEfeg1qUUFoSTXhChccv0BeMkj8cInVs1VQUItCsXMAX1ZSagtQScLGib0MfWmF9ltWmirMI1/qxkiX2L5khMSjacSyJ0x17WHs0R6kZhGZl7TcPMv2RQNkX1CgstGCb03Bl/JDLlgm+RPbKXTqtD5WQs/XKJ7WR9ujDulRnXyPggbVW220DR9WVlLo1jCKapybJ/jpuCtLZN7H1OsloSd96BXYPN4gdsEake8r3QqEoO32VWpTcTb3CaILDmtjGofnumlbgrbz56kebzC32kL6/ATJHwo0R1Ju0Ui/uwjf9pM5zkXUvHt2ERy/RuJ+k/avjoMrWXvpXqLTUuHuD2dYfnYIUdHovFPg37SptBjMvXE3/Z+foHTqACuvr1JN+0nuV03XQ39/CHtXT/PecLtSLFwRR9iqKrRx2SAtf1Gi3Kn0RmS1RvtXximfOQKaoPZlP/kv9tByzzpdz1zA+hIsvriX7rpD8oEtnHgAkc4j7CRDpyww+XgPoQWN1CGb7HKSRBkqLSaph2roVYftvQG0ikM9CAPX1pj+rRAr98UonVDl9vv2YuY1uu6oMXeFib5sEkyrAPM7/3kuznEVfBN+Ku0OK2cZSLeO/4kA4fM3KP6wDceE3Ek1gk8GKHQeY+/5dbOfdz3OP/98XvGKV/DlL3+Zl73sZezfv59UKvU0j+6Y/TQ75vQfs1+p/coYGDwISnDck1F15Y6CbrWmGllDAYUpbyjXNgICzzHTy2ofelY5704ijL6yhahUMb3Ee6OJU19Sf9ASEeotQRKHK02mHrNgN2FDMvnjEvINZV3X9Cgc5ysILxtfiytIgoyHEZmCYr7pjnsbCjQvoJCmcoj1la0jdiyo7lZBT7ldZcqMktusRngnq/6LRnaw8Uc42EeZ17C8eVKI2LSJHfTYdg7ZFDsMMqM+jLIkslBVgUvA35xT8/AStdMH1BjKLrk+L1hadBGuxMrWcFoj6PPln9kUXNnXp/aXrjZ7HQr9AepBQfVZ6rPWm+dJ3V9k7jkhpl7XxfCnZ4k9uk2lN0ot7sNXTaI1BMg0TUGKvGBMijjVOMQnbHwHl5rHLZ4xQOIRNbdiM0N9V3czwx5+ckOtxXIJAn5MUMHHkdUKIZQTXyw3lYrF2tZOMNCAMtXq+B+dBc1SAQkQXA6xeVkIs6AqGO5YkSLgeyCEZkNornDUMo183GbiKpfkIzmcqMoim5Mr2P3tO0FHLg9CEHy4AKEgmt1ObFZHuJJ8rxp3uddGz+uq2XcbMruC4EJqv1rT7JCP1YsVNKbY62LmNBaf10l4RZ1LeK6MeWgRmUriTzuU+qOEljea/TLGxCIprRc7ZFA5rpvkD+fJDvbTNe5iByW2X4lZZU5sIf7IJhsnpZh+iR/X52PwGw6lHpPikE3rfeo6HNk7y/j3R/DlHNJ7dJLjku3j60STRQ6PxEg+rhHdD+33Ftnap4KX4o3t5EccYod1qNdxW2JYT84Tbh2hGtWITjpEpzVaDmWQDycpHhdGnibpvBOCq2oe4oddKhMxalGJG3Ew10yGP3JArWdLgsA96ebaVJPQ+9mD1E8YZOP0OL4V8KUhfts0M787RO8PSsTvWEPaNnrFZeiDNWZeEia04lBN6Ix/ZIiuG3SitxyCZIKNM+JUk5LRvzqo5lzXqe/uwb9RRfgsZLUGjkvgngk2XzRG4O8ckrePI6XEepmBM9hFfMqhlgph7Z9m+nV7MEr9WDmYv6OPgTtr+B9VjFbBmSTS1NHm11h+1W5sP3TeXUKr2XT/IEO1I8SJe+dYeGiYyPct1i+toq/70asOp585w+yndmHlXWy/zuBlMxxaTWGHJGZWp/VRl/5nzfLogTFKN7cRWZFKFbqo4/ggP/g/xPx2zH6q/bzrIYTgM5/5DI888gjj4+P8/d//PX/xF3/xNI/umP00O+b0H7Nfqf0q+Hov7307CNHkpW9AfMSmVwP3mkel1/ApQh42vtHw6zllxtQybkcr0jCQXta/2XjayLzXd3CNDZ5822Pl8a8Ud7joPWtg6s2aQ709otR3vYenHdCoRQSkdOITyqFwTYFecSn3xQhmvPG6EtfTD2j0GQjHxZpaO+pYGHqzGbga0YgsquDCt1lpBgfZkz2svWPhn/W2KxSbwYnYziHb1HmJksL/d3xnBkJBNs9R2RqjIpsCVK4pcLy5kuEAopENyuWxMjtQJ39Ux8p5AYsmmmskW+OKMhWUuFBnC3bMYy8aX6bY6TUB21LNTc0luFaj1G41KySlE7oITmwhXOXYTb9xgKHPziGkF3Dpnh6CZYKuIYMBRK2ObI0TWMrTt3+bH7XQ/bNknzFE9MltZDKOVnOI3b+krhlNI39cK5H75nDjnvjaZpbceUNEn9jETnjZ8YSFf9VCW948eudS4vR1oK9uN6+PZlUgEcNIF7FyIUodksicoKSp/TUEqLSlDTLPHFK4fqAa1TDzsHFmHM2WSjjstD5C983sBCJHMCRtn9NJ8uYZNfebGfI9QwS2JKVeget38W3qhFbqLDzbYNe/pJl5cQI76DUKr1uElyV9X5pl6i1DBNclxXa131JriK45U+GzAxqx2yZVNc1jr5LSxZjfgL42jEkVYEXnJKHFsmoE96mAZfOTFmmtla47a/hn04xfnaQe1ml9MI2QCVoe3EZkClRuMhmIbHLwvRFk3SW4KgketijFLKwqmCWJ1AWbJ4UQrrpujQqcccYT7H/kRLAdtMU1pHSJ3jnNxnNG2Ly0hnXIT8ukQJteRIztYeyjS2xc1IM1vgCJGFNXpRi4tkBgDfybPgL3HvAWRjRVtBvBXT0EoiWJtbCNNtRJYEPQ9ZVJcucO4tuGiTfp7HlnBSE0rP1TiHAIvZzE8Qv6/vEAaAJnVx8iEkZup2n/Rpb2gB+3txNtI035eKXLYWWqyuH3jnvo74fY/Y6DVE4fYfZzvQy8cZHty3cRP5AjdNshll+7l2h0F7s+v4Eb9qtrVAhVyYyEWXhhJ6mHqpQ6LRLzawQ2XGIHcmjL60jHQaRaKXQZFL8wRPs96xifKeB+YRC95pK9usDa13aTv7hKz7cNSrtqHLx/AF9aUDmujOFzYH+QB+b70AJQ63Wwcjq+jEQva9ghiVYVx7jef83sv7Me4XCY1772tVx99dVMT0//1xscs6fNfkI673+vSSl5zWteg67rfPGLXzym8Pe/1YIBCAZwfQauz0BsZnYadEE5O5rmYYyFJ6xlKmffcUDXkdUaslJFOA7CcdC3CuhbBVVBsNV3iEfVS9Gjv9RWt9FWtwk+tkhwYhOtcARW3rJ2ggq/TzHn1ByVqS9XoFwhPF/CykmsnKSc8lFO+ZCawCjaGMWd4MKcWlV3rgbSEEhDNKFIDavt6qQ2lEKv2OgVm9C6Qz2sq6bVI+760MFNjLLKtlOtqn+6TqU7SqU7CtEwolBGCoEb8isnQkrWz28nOlslOlvFKrjE7pojdtcc/i0bvWwTeHwRsZlRbEGFImga5tQq0tCQhkbyjkXCj60RfmyNUodBJRWkkgrihH2qAiMlGAb60gbmdhlzu8zalYNYeRfhQrHbYus4i+yQj+yQDyvnUGrViMyU8G1X2TqnHTOv1GST4y61oRSVpEElaZDdE1VrHA0hoyFEscT6c4bUdbJ+hMNvmjvXit9H7I7p5rzra1kV+HlzFnlkFcIhqq0B1T9Qt4neOQ2ZHJWUj2JvgHpYp9YaxOltP/p6jUWxIxb1wRT1/jaIHQHbyhUgX6TnP2eITgukgPiEJLimGm59Oa/aMFsm16dRbtFwTUg95JAfgPCSTaHTIHT/rOrBaEmwefkIh943xPgfDXDgg72sXmBT3tfL9kkJEILur06j2ZLIpE5kUsc1Id9jQnuFtXMSSB1SD0lSD0miM4p1aOvZgwz/0yxbxwtyIy7+bYkvK8me04/YzuCaMP/6XQDYe/ubAlCyVEI/OIe0bTLPHKblzhX0YhVZrSKjQcq72gj9XYzEHQtkhyzSp6cIHTRZulAgckUSBwpkj0tQHe2gfFwXlb4Ysqbji1fZOl4FgnZ7jdpQhch0idTd26RPcKi0QvGFOdbPcvnBg8fTdpcKxOpjvcz+3hhISWDbJfC4n/5/n0fMLoMrSV47jswXaP32QZy+Drb+VtDyuIs+uYQ2sUDg/kkANl80Rv7CXRz+/b6dtZSSjgds5MYW2+d00vrtg3T+6wFkpUq+V6dwThlyJmsvG2tSBctCkf4vL7D8LAcRCiKiUSZ+28fW+T3gStKXjJI9uxdteZ3iKb0EJjepRwz0bJnVV+2levoouWfvYc+fbiEHuvDfe5iBNywgeztJ3rPabG5uf6CEXnap9MWpR33K4bdtEBrzL+6k7ZEaK+f4qMYE+H3UohpiYQWZ8ggG8kVaHssTmyxDJsfa5wbZONNlc5/G5mQLXbdl6bzBJHL3DFraZNcnF6nFwPLbBP01NvdpWJaNPVhGj9WUOrUFSOi52UYax97V/6/baaedBsD1119P+UcV3o/Zr8x+o3j6r7/+ejo6Ouju7mZpaYnl5WU6Ozv/p4f4G2W5nIIsRKM/DnN5quzywXepHzxnvNlcuqWO3WhIFWtbO7ztP9rg2/i9kalu8Ns3MvywA5VobNP4ToOPG3agKpq2w9QTVC/aRrbeWNigPqiy5tWk+kyvyibcx7HU//7NWpPtpnFO1dZAk/ff12j2rdV3GlqH2pvja2DqhasUagFst4aMhjF0H7njk8QeUHoBdleC7TFVAXF80HmzB5PKF3fO13V3KgK226TKPBK7bg92oHnwpVoyQDWhxhBYrzXx/05AJ/zAPEsvVRj56JyDlVVBTrHbIrBeJzCjKib541uJ3DffXIL8GX1NKJQ4olegHhS4piC8oDKtjl8jsFRoCp0F5rPYyVBTNVnUbES+hAyrXgUnEsCYW8P1nBrhujhhH8b0yhEibzoE/LgBdQ1JXUer2dhe/0R2yE/r92contpHoVtt499yVSZ7ZqV5beXO7ke4Cs4iiyp9Hyrq+B6fx+1uQyt5ys7PSCEcSXDToRbRCS2pa9EaXwDLYvuCvqaAW+tty2TO6iS4XGXmBX4i04LYrJrTjRMNkuMO0cc3WbuwneCGutazgzr+bUnrDZNgWRz8UDsD/6rWKDtskThUYfYKH+33K8y85sWhuXPKtF3vJ3nrLLOvH0TqEJ2WWIUdDYLAtkN6xMCXlbR+b4aNywdp2Z9FzHh9H5pA6DrZC0YUdAUQgYAKxBuMW5qAYIDx93bRe6NEr0pmr9TQ4jVS1/sRrkTz+rPTuzW6bymycUqIzGk1EvdbtN+5RT0ZpNJqsXGSTmQOEodKrJ2hrvPum1TAt3FGktS3DkFrArtaZPHKTga+va6qeqahKhDZHFgWslBEmAbyiIpfw4SuM/87u+n9zIGjGKPqJw8z+1wf8YOCtq8daH6X1gTki8hSmcmr9+LfhJ7PHaB89ijB6TSZk1vRq5Jyi05spsrq6T7qERj5+0myzxgi9uAKuI7q61neYOrT3Qz9rrpXJt83xsiHDqhKSwPO2BinYahsfTDA0ksHaXu0gnVgAXukm6ULgvR/dQWnJYw+u6q2TcRU4qNUYvZ3R3H8MPzpWQ69u4/ItEbnv41z8G+GGfw3eM7f3cLNl+yhPtRO6C+XWf7CEI4paHvlHIWaj9XH2pE6uAGX8KSOe26W8kIEK60hHHVPG17x6673/w7w9L47jtnPb//dd7nrugwPDzM7O8u//uu/ctVVVz2dw/uNs2M8/T/BWltbueSSS7j55pu5+uqr6ejo+J8e0m+c/UqasRpiWd6LWFvdpj7cgRNqxdguqkbPTEE5b5bn9NueI+th0GVDvbYB/dE09aKzrCb8hx8tbzYCgiP/rmk7MKOK2k7LqSyH3R3D3C4jW2IYHkNQNWkhpFI3FXZDxRXCDx8tttXI0OkVh+0xdb5Rsw2jpM7ZWlaYdWlo6GXvb1mJ62H/y8d3Y2VruE4NO2ji6hbBlQp4eOvtvUH822oOzIJDPaWyz2b+CFYeIY5W4/Wae5u9AYBeqLJ2joIHmUXVsNmkwGwJYhRrkFHbJg55jDmGwMyUye2OotmSSouB1NUchqbzOw5UwE94Io0bUMGWGzBw/Dor56i56buxQDWhPvNtVxE1m+DhTSqDLVQ71YvKXCnvUJbaNsJbf2MjDZaFsG3wTlfqQglWeetbHIwQWiiiFRtQrzKYhsLPD7QTP1yicnwPesVFOBDY8npESrWjnMByq4ZelYQX67heL8r0yy3aekZo/cEcTncL6b1hxeNvQzFlYBXdJpwJgFqN8EKF3KAfqcPGRV203bLM1Bu6iUxDYqKO3xN269n04fp1ykNJ6mHIhnXMApgFjzlKSqjXGfoCzPyuQ+ghta5TLzWJjQtiT2yS720jd04Z/xMB1Xy5VGH5xYP0f3ubyT/2Eb1ZUA+bBPcrPLg92En3EyvqnqzViSx43rl2xEkYhqL0FBrpS0bRq5LobSpzLqULDohCibE/mQRDp76rm9R9firJAHrFYekiGPqmTfU9aRLAarmD9gfLmEU/oZUa9ZYQCxf7Gf6HSaJ3evNvWUQ6eondNokz2Im+sEHq+oxygtNZZL1Mx0PJ5riLp/UROrChKkX5AgjB+PuHGfvrZWQmh0jEcVsiOEETc3KFvi9Nq64ZIVj43b30fuZJrAML7HrcZeN5u6iePoJvtQBrXsBerSF8FqMfOwyaxvw/d9P3xhmk4+AabcRuPEgYEJZJ/yEVdBCPEbt7jvlXDdL35TnE6ibuQCfDV+eRvR2IusPIhxXmXwhNqYz7LMgXWHrlKKUO6Lupiu/gCsF1l8lXGuz9cJjMrgCh8zZYrHaSPGQTmLRxdvWRHwriWND6vRnaH6jhf3CK5VeNMfzVErPPVc/L3X9XIvdXVf7j7y+jvXYYPVdl8YvDbJ3uoJc0En/WztrlPnadOcfEPQMYJZ1yh4SKhV7S6Lm1wvaYn8yYi2VqHPqTd1Is7jxXjtn/vP133+WapvGGN7yB//N//g8f//jHefWrX30MsvU/YL9RTr+u63zve9/7nx7Gb7Q93c1Yl+9Wqo3UbeWge0qvRlY5c/U2lek1fMrZ17a97HQjm9jIGhsGsiWBBITX5NmE5/w8JiWlfQovb3gNwU6rcp78KwXqiYDqof2RQltwqUS5U704gwdUVr801kHpRIXVDT6iMvTW1FpTaCxJounk223KOS/uaaUWVQ/l8II6hrmwjd0RV/MQNdDKdVynhu46WGU1T9kzujFLLuEVG63qYuYbgUpF0SlGQlCt7wQ+Rzb9SglF1fSMpuF0KzpSf8YluLzDPtSAWvlypSaXP66L69tRkpW6Tvx2z2HsSyG9pmhtK4s92IGxtAWOQ60jguaxLZkz6xiREB33KjqhWszCytWptlhUUn5C20UoFPE/eURp+UdZi0xzh86zXIFSCeFhy0UsgBQCbSNNdXdXsxpBOvtjVR87rK6vmefrDFzrYlQkmWG1Hr4tP9aaoHhqL1IThFYd1VwtwNHBv5Bjz99Vye9NKqEyQ282XzsW+HIujiWwQ0ZTORpXYj4xS8ztxzV1Sh0m6bM7kQI67smRHwzjt12WLlcSuj3fWKJ4Qjuph8pKwfmRuZ019M7ByNfwBySFAXX+VlonsuiwfHEbZgGswwG67ihhrqrAzzlVJVGS3w1iZNOUOv2UTu4HYOHZBgPXG/geU8fxH16DUhnZ09FkhUJKFq/aTc+XDlHs1Oj+l/FGmznuaG+THcncKLB+TiuJwxVa7lohc0YH2UGd2CFYeJaO7/sdVE4vwplFZjqDRGYFuQGL9u8vkTjYxdoLRmi/btarIrgE1qvM/c4uWg7YhKfqzYAfy0K4NfQnZ6jv2425kmX+JQ79X25VwYyuIYTG2PsnkY3ruFRCK5UQts3Wc/eQeDJPZo+6J3uvVzh56Tn2LY/mmH1+jKF/LiNrdSr9cXxBC20tjdPbjja5QPKfQ8haHREJk7huHNHeitzYQto2s28aZeATB5DpDMJn0X27EhnMXjhC7JYJFbhkdIiE1XNNCMqnDuJfLcLiKnS34+rQ8rhUtL9+H4nvT7B66QALL+ykMGIjploY3F9lc58PrTaMb7XA2NunuP/r+1h50RCx6TqV00cU/j5fYeQf1iAaRcyvUXNaCC8rqlBteZ22b67gy+0mvUuwfoofKSQH5zsIZMHKgXAF7oJigqrFTRwfCEdQD6ur4Fgj76+X/SLr8aY3vYm//Mu/5OGHH+b73/8+l1566dMwsmP2s+w3yuk/Zv/7rSGYVdqt4C+hh1R5u0Hh2WB7FjXvJe1ltp2upKJytEwFj3FcxBEOLHC0muuPHdhzT0LBZrXAv+bxuHsBBlKi2VLBRHJeRcHbtxP14Rrq5+C8F2TUbSp7u9Fsiaircdr9KWSDOn9GQW6sqbXm8WsJD8pUc0ncfkR1wPu80B/AyjqIuqTcFcauG2ycbNJ7v/o836vR8y0VbFSGWtHn15tzYPenmvsypleau04/U8FyErfu0EYCbJ+gAqy27881qx2EgjuZdV2j1t/OyjmqUtF5Vxk75AmgLW9SOK1X/VxxkaZGqU2HkT5av7dzHN/kuoLJ6G+i4kEAAQAASURBVApqIzI5AvniUWtlzGg/xgjUOBdjZpX8mf1EHvOaoG0bGpvqGgKtiW82pncoSH0HFo6a16ZFI1Cu4H9snureXoa+brO910fLExWSNy8fNY7Qw4sKfgXouSrV9iBSF1R6IljSh29bDSTf76fULojN7Cj6+rIOwQdmdoJVVBbXPLSI29dB4sACMhkn/oiinI3dNQvhEJF5FytnK6z8/iU1T41z8GAfE+8ZZfSfVsgPhjFu09hzzQxOrwrgcsMhOu7OsnJ+jJ6bS+ilOuPvbPPmwuHwewNE7xaIbIF6KEE1arL1jBpQp5QykScOUOowSX5/Enw+CkNRfMkAekmda8+XDoGhU+h3EX4/0rtWajGLwKPzSG9dwytx9GIdqjXiN00Q14SiqOxOIZbW4VtRVi/ppOUJT83a0KBWI3nbPGvP6Yd6nanf30VsUuIaQmkpZG1IxmFDZd1lqYR0bUQ0DLaLG/GDRPVm7O7Gml5HJqPU437Mx2aYes9ehAtDH1WQnc2TILAeIHnrrIICpTPNtZK2jba4Tj0axW2JIDJZzHwdbSOL09WKNqmur/BdUxAOsfmsPoyKJP6DCUQ0CobOwNc2m2snqzW0g3NIXSN600GK5+0ieOdh1R+S9wgAfBZ6xUGUa7gDXdRaAlTPKNL11y7a5AIT7xuj6842ovsNOu/MMdEVYff/ncTtSSGfWWauP0biQJKJ2xKM3rANUjL5qhZGPzHD7F91kdwvlZ5HOoMIh2h71TorV7USetCkuqcb34EFYvcsoFe7CU1kmPztFmTOVKxUz85i6A7mtxIkrlxm+bgYvZ800Gw/tWNonv811traypve9CY+/vGP87a3vY3HHnsMv9//Pz2s3yj7b2P68/k8f/7nf84jjzzC/v372dzc5P3vfz8f+MAHfuy7Dz/8MO95z3u49957MQyDiy66iI9+9KMMDQ0d9b0nn3yS17/+9Tz++ONccMEFfP7zn6erq6v5eb1e5wtf+AKf+9znmJqaolKp0NbWxkknncRv//Zv88IXvvCnjvfnxTkds1+NlUrKkQ4Gg//FN38xe9aFHwLAKHgZ6vWM+qDhbIWCO4w7DWe86nl5jex10wnyMhkN3H/4iDHnjy41y0QEJ6Y+N1bVMRs8+vmhEP4tdUwzqzLeourt29CamX3/hgoEij1BQnNq/7UW9UAMTO1QcS68QGVUe7+xzPJz1H3S9XXlCJf29ezAPrzTCI6vsvx85UD7tyX+TTUWaQj8T6jAQCTjTL9EZciHvpJBazQ+e3ORO7sfM+/BpRyJ74AXUBzJPR8OKSpIUM5v4++N4OkIK+/zxrNSaEKESid2E3zYw+sfIZAGYAcNil1qHSILNYxsDSeoAgRrfht+WmPYEZnrxu+l0wcJzKnscnEoRrlVb2LBfVlH8eb/rMfikfts/CwEtd0ec8rBRRCC/NkqGBISAkslpKVjzHgKxN61VThbYZxBwXyS922h1WyMDQ82pesKUnJwC+kxR4nN7R1nPx7dwWhLJWzl9Lejr2VUsydgBwXChtSd69gtYYwpFbyUT+pHOBK96mAeWgQpKZ88AMDWXovu722ycU4rRkWS/P5E85y3nz1C4rE0B98ZRvc7+B8JoDdaXQR0f22OzLm9lFs0zKJk44I6oqDWKjSnUW6X+DcFnfcoSs/DfzjCyFfyaLMqkFx7yW5aHymgz6yoDLorFebf56N0Ui96RZ2vXraZfV6I8DykHsghZo6GwAmh4Q50Nve7dNVu2vZXcPyqcrI9ZpKYsPGvl6nHfPhntpHbaebfPEap02Xsk1tMvUDdE/232+j5CtIyOPzaMHv+7xyyUqF89iiB6Qzrz2il/bZ1Kn1xfA9NqTH3tHP46iCBRwP4tyF13SSyWmP+LXsB6PvUAWR/F2J2CdGSQPosDr49zq5/rqDPr1Pb3cXSBX5SD9mEDm0hN7bUPJimyt7nC5RP7MO3VkIsrCBME+lBDIVlUt/Ti7mg7g1Zr0NXChZWd/RIXIk70kt2d5jEDQdZeu0Y+RNqDP+LgzW5ytpzBwmv2ITunlLJENvG7W2n3B3CytQ54e8e4+ALu5DZPAf/cjdjH1uDSpWpNw8ycF0eaegYS1tMv76Xwb8bRxgGyy8fpdAnccIOnT/UqMQ10mdX6bzeZPVcGNi7zNZ1PRROL2MdDDB68TRBo85Xzv700/7uOGb/PftF1yObzTI2NsbKygof+MAHeP/73/90DO83zn5eX/e/7fTPzs5y0kknceKJJ7Jr1y4+97nP/USn/+DBg5xxxhmcdNJJXH311VQqFf70T/+UdDrNI488QltbW/O7e/fu5YorruDKK6/kc5/7HOl0muuuu675+ctf/nK+8Y1v8I53vIMLL7wQn8/H9PQ0N954I21tbT9T2vmY0//rZdmscrZisdhTvu/LTvwTAETecwBd5Vi5CZUqanCzy4iiPBQNOr0jm3PhqCZcWVGOeINtpCGY1MwkO+5Oln1UNYWbW8phF+k8a1cMAJA4pMYkGy9cwFpVDnK1W+3TSqtjlbuCTTiHb1uN0TV1rC1PACxwROWgtNNf0IRJeGb3pyh1KUiR1CA7qI7d99Wl5jnUompfphHACSkYh9HI7nuWO0sxkGi2bEJarMNHZK11faeht+40HdLyYEIJkoGCwDTmNRqmOKoy/5WkTsvNc8y/Us1T+8PVZkDhppKUe1W1oB7WyHdrJCbU8Y2ySyVp7Pyc0PGn1XqH75vlZ1n5pH7sgIbmQYl8G1Xq3jxUEwbRgzm0lY2dDRo8+o3g70crPj+CS3U726i1BdFqDrW42qYW1UnePKOqSA0cuxA7cCLvxVnsDWNNrWHWac7XwqtH6P3Xw+BKnGEV5DWbKkE5cY0+lkoVwiHG/yBF162CXJ835wJ6r12nOJok9MBsc99LvzWEFNDzr6p5tjE22ZqkNBxXlTLHORr25PeB45I5rw+9Ksn36HTevInwdAVKJ/Wy/AyT1kddQksVpt8iCN8foPvbal0P/J8Ug9dAYL9ap5m3jNJ5dw3/zA5zkjQNtk9vIbk/DUtrCMMAXWftyiFSXxv3sOnq2nBao2jTnuKxK1l7xV46bllXOge2g5QuItUKG2r/9bFetk5Q91jnTWuQyTL7xl0M/OeKcmxbY4ra8+QIgamcovc0AxR/P0Pg0wlCj61QGW2n1G6SvG+Nwl7VYBuY2qI8lMR//yTCMhWMxzKZevsu2FUgemOIlkfzpP+8SsvrstiNtTw4h/D7cXrbsIMmhR6LlusPqz6GrhQrz2yh6z8OsfLy3SQO1fBPbyK3M8y+bS/JcZf1l5SxHg3R/xlVJZH1OrS3wcq6gtP5fdTGetDLNvrkUvM77lAP2vQicrAbMbUImqBw/i6CK2Vmrwwz/IlJxj84gJWoMPQXdRb+TMNxNAZ/f5OVFwwSXHeJPbqBG/EjqnVE1aawt5XwE+tQKLL0ilE67i2gL26y/KIB4pN1gg/NUjxzkMWX1/GNBxCnZCmthBERdW2Zs37E3jzWXRGlanxyAU2THHzRnz6t745j9t+3X2Y9/uM//oNXvepV9PT0MD8/fwzb/xTY0+b0N74uhGBzc5O2traf6PS/7GUv49Zbb2VqaqrZ3T03N8fo6CjvfOc7+fCHPwzA5uYmu3btYntbPZBzuRzd3d3k88ohmpmZYWhoiD/90z/lz/7sz35sPK7rov0kISHPjjn9v172dLL3XHraBwDVvAqgL3p86F5W1e1SeOYGtKfmNacaHrRA2G6zSbOxD2POg3001GA959YJ+TAWjnAMUQJaAKJc2+Hn9rKz+VO8F3xNole8BtlM9ejxrmw3FYQbcJ7AXIatM1WAnHxIZfvrbeFmj0I1FWoev8HI47Ynmtj41fNUE61mQ+vD6p7SMztVCrug8OiGZpE5f4D4XR5speHg6XqTlag82raDra+6+J/0HK2Av1nVELZLyXPUpUZT/Tf00PxRQULx1F7MrDpGOeUjMqMgCMW+UDOTG3xsidxZfRglj8NfF/hXVfCklatsn9KC5hVMXEOxHLU+lFGfLx29Nug661eoCqNZcrEKLuWkWhvNAaO88xiUAmK3T1HbozLl1pPzR7GeyFQLYiutfj/SgW/MF4pdKT8UIbNLrW1s2kVqgsRNE0ez0QT8SrDL249tV0ETGIlWBcuwj8bN5p8xQuRuD8fvHV+mkuT2JolMqntLSxdZekE3Wg06bvegKrquAhnDwB5oZ/7SIB33qvkPPjSrAldvXJVTVIXC/9g89dEupCbI9/sREhW4ALJaVY53Mo60dHJ7k1hZm8ABL1v/nH7KrdBxf41ip0n6OSV6P2006WJdQ2PzeBPXAmFDz/czCClhcZXMZXuIP6HW0QlazL1L0vsPOuWUj/B8ETtkkR320XbPJtMfUMHO8Ns3kC0x8rviRH84ofpdbBvZlsAN+5Wz6/c1q3VLl6fo/uoMMhHBToYwD8xTOG+E4GKRtbOiRBZs7IDGZn+N+Jnr5J7oo+0RtRYbJ+roFQgvqcZ0LAsZ8rH+YUHiI0GsJ+exd/UoNqGJBRWwJGJQLON0JBFSImaWWPh8F73/p470q94cbWWLynHdO5UCIPufLcTf6jahQaPfL/Ld20/FDTmM/ekss28Yof9T4yr7n4hR7YwqLv17V6BSxe1IImaXES1J5NY205/uZeiN89CdQmxm2LhimNZveAxCPkv1D1hmM4h0OhLkhoIkfjCJ7GxDlGvIrW0qp48QmNhg+YouWh+vYKbLsLhK/ssJor9TVfd6tUbm4lFi3zuI0HVWXr6bzm9MUzi9j42TDM577qPcee2J1JIS0VEmGS2Sv68NXxq6rl+h+GnJ5i1dhFYkD3zhXb8S5rdj9vPbL7MeDbRGoVDg/vvv5/TTT3+qh/cbZ08be8/PE5HZts11113Ha17zmqMuiP7+fp75zGfyzW9+s+n0J5NJhBD827/9G8973vP4x3/8R3bv3t3cZmtLvbR+GrXmz3L4f15bX1/nscceY3Jykn379nHqqafi85r3jtlTa08ne4/wqCtdv3n0B94xtQ2v2bVXOf/VhEFoaScDL3UN0VC49ZzbJiON5/A1sunGEcK3mOo2ckO+pjJvg4LT3FQOdmCtSqHPj+MThHLK2ap7aqlGvoZwHNyW6E4jsVSqs04kQGBdBSnr57USnfEoKNuU86LV3Cb1ZW2XukdcU6MaV2NKTNTQvABCK1eb4k92j5oD8lkaeKDgSnUH0qRpO46saUC1TuDQugoGGhlv06A67GHSqw7Gmpob0R0iOJlRx2kJYmyVkPEoYjuj9islwZks9RZPZKrmUuxVP0fum6c22qkqCUD0voWdYEFKqnu7cfw6EMCoqB4Jvye6VoubzWug8f0js/CpG2bIn6GqFqIuiR9WlRNjfoPKWFezVyKwfxaEUA2u+2eVQy5EExYhttI7WOpWVbGYenUr4QVI3aPOW8uWiN21RXi2jclXhKm0CHZ/dOZohx92qkwehAXdm/diSR2jURnyjhd5fB2EoOipG1vZOoVeP7WQYOMlcQB6bg3S/bU5tVauqxpSYac3YXKJ2PAIwceXm/sunzJIYGoLN+Jn+TyL2JSk2DmM/sp1Nh9uZ/jfN1m9oJWZNw4x+NkZhN+v9p/NkX/GMPkejWRJY/0y1bjr33Jpv3aO/Jl9BNZtNlYDLF2gYXp98113FIjO68TuX6K4r5P0iTGsnEskV8K/ZSM9Olv98DzDbzNZ/q0ROn+YZu2cBK4Bdkjdb8O/t8rGFcNsXBqi7ZZFli6ME57dgfRsndZCqUPQTTei7uD6DLb2hTDKUDitl6XfqiM0ya7fF4Rmchx+r5/UdyWt755l5ssjBLYF2Qfaia1IjJKLUazT+wNU87IQyGSU5b/UCP5njPbXTYKZQ3anMNIlxt+eZOzPvb6EtU3QBPpMBSldtp+7h743TSLbW9AW1rBHupn7XRVsDU7HWbm0k86vTxJ75TYzbx0juNpJbLbG7V+02P0fXka/WsMoK2rT+mCKatJi+RU15DIkbq+zfsWgov49KYp48SbBfxhh+PdmcYd7EJML4LPYPNOh7aawCpKkRAiB3Nxm/fmjtN+6yuE3+og9qhFvb1G6G5UKoq2FfI+J/4EsbY8mKLdZzD7HhzWsM/DKFZau2k3LEzWcgKYcfu8esQPg9LbR9d4pav+4i1tv28fAHRVm3yiRKwGMb/l53tV3c9M/nUN5uIXFdYdTn3OYh+e93p5fBfPbMfu57ZdZD7/fz+WXX84111zDV7/61WNO/6/QnpZG3qmpKcrlMvv27fuxz/bt28dNN91EpVLB7/ejaRqf+9zneM1rXsNVV11FV1cX3/72t5vfHxsbIx6P82d/9mdomsYll1zCwMDAUzbWe++9l4svvvgoOrCzzz6bu++++yk7xjHbsaeLgeGiZ/1faAmie1h5rVjDbUvsKOJ62HMZDaNnyohiiegSOxCJhtJuA8bTqoJV18PpS0NDX1fc3I73mb7qwRH8viZcxe1WL6jIA14WvFyhdoJyhITXSlBOKWdfq7uEJjJq/x5kp8H0Y+Sq1D2+9+DjChahOV1o3vlZc6qKURtoIziucOJ2Z5JKu5eh83nc/tNb1LviANRbw1hVNYhyh5/IAwvYGl42WcdayR2FVW9UNerJILWEykYaRU9QDCi3+4iOq/l1ogG2z1b4e7Pgsn2aaiiOLFQpDavj+0O+phKw2M5heQGUharCaN5nR0KHKsf1YBTqzYqLVnMpt6m5Ci5Xm7oFAKaUarsjmXQa56OpZt7I/apnIH1BP8HH1qns7cYe6wIBgSeWVNCjaRAIUE0aBBpJBZ9Fdbgd35waY60vSTVuErlvjvK+Xrpvr1NKGWilKtJvIoM+RKGIvrTB4LcNXEunclwP/v1eprxDBV1bpyZwfIL2b06ocXv0ozIcRdTqO4xIQjRpFhGCjZPUo3vgs7NUjxuhmoTkAUl0xoO2GQb1wRTmwYWdXhVQvRalMrWoIHNeL/GbJgBFEbt9VjvJW+fov95g4+QwHdfPww/B+fQG4p9dOm9ep9YZpbq7C99js2oeLxkhvFgl1x9Aq7pkdkucoFq72KNBIvtXqQ62sucvZ5l7/ShSB/8WlLoCaLYEoRHav0T1wj5y/Tq+7SSBJ5ehXkcm49Dehh0L4GogltbpuKbRWO6trePSdsdaM3ga+7AKEg98eIjkgyYd35ykdHI/WrFKPRmk2mKRunubidckyI7omBMGg1/ZRKaSiM0MgUcHKXTB1NdHKA5IBj+3iSgUWX71LsLLEnN2o9moDyB0jeBXRsgNCvynDBJ4cJr0vjiJ6w+iRcNsP3OAxHfHEbrO5nN30XrDJAc/MMKeT6VxBjtZeZ9Nz++4GDOrDHyiivD5KJzRT+tjpWbTct8NqkJX7grQeVtaXQeahjBNuv9lnNrxA6THAmR2SXa9dQ4RCLD5mRCp3z6M7Gxj7nkJtNvaEK0S9+whQrcdQrQmkZvbjH1wAYIB1S/gWeGaJO1vU9CgsT+aQ9bryP5OhBDMvH0MOySJHfZuiz9fpfjpfnp/UMf6usb4RwexlpQuxvK5Bu3WHqK3TzL+/mFih6Ca9PPQnbuwn13DWvQx8waJWzYwqoLiKzN8f3EPmbOrDL16nq1vjPKg24fYUs+eY+w9v172y67Hq1/9aq655ho+/elP8973vpfW1tanaGTH7GfZ0+L0N7LzyWTyxz5LJpNIKUmn083s/Qtf+EJWV1dZWFhgaGgI6whqxFAoxL//+7/z2te+lje96U0AtLS0cNFFF3HVVVdx5ZVX/lJjffLJJ3+M/3d0dPSX2ucx++n2dGH3RCPzqh39e8NkwoOfpL1GU49iT7Yp+Iu01K2grSknVs+WcGJBpKahb3vbeM6T69cxpz3Yj6FDuUJowgsAvPNzulvQDikHU+rCG5P6SmiuSLXtaMaCBouPXrZxTQ0naFKLeWMaTGGHPAEoj2dfhgNIv6Ualr3AxQ6bypFCiXtpdUn+hBTBxRL6RgaAxRepoKTn2w0mGkH2/AGia41fo0rxVwhEoYIM+TC3ipS6lDOqV0Qz4Ng8sZda2OPPX7WpJL1AY8tFhNU4tYqD02IRvddr0PX7qHXHAa8B15tTaWhNhpiVc8L0/Oc0Tl8KM19TDEJeEGBOrqC39BPZv5OlPooyFJoqoWIjDbre7LWwljJUexMIVxJarrH4W4N03KPu/R+FalEuo1ek54h7YlvDPsRgJ7WIOs/uLyuHuUF3afW2QzaHyHKUyJteshX8AZoZfrG2BX4frbcUjho7HvSsuCtB+IF5kJKNK4ape8fsun4ViiUGPj+NTEaRrXE6blxChv04ET/GSobSWIpaLKWoGV2prlFvjgrHtRF+coOWJytq/j3Wm9DdU2inDoJto8+s0F5IMPPbqirS94E8lLZYecEApXZoe9TF5+lb2AHB5Mt8jP3FJG5HK513RSh063R+a1adj22rXhTHpf/zh5U2huMcLRClCSKzZeqBINt7Azin9NN9zSz5vUkK3WrcHfcWwe+jsrcL/8OqYiKlgxAa8y/qoOP+SrOqNv2nPvb+3izbl4ww8XedWI+Z+HtbaN2fJ78vQOSuLQa/E1ABETD91l2k9juE79yi74sq++6ELBYuDiEKJWS5TN+/TFDf1U36Gb0YFUnk9klF7ek4xK8fJ2EauL3tyM5WkncsIl3J7neqhm5ak5DOsnUStN5sMfYnk0jpormSrj/vYfE1u4nNOkRun6S2q4vwnZOs/NZuOqd8yNY42vQiQmiEJr0qJFA/cQhrYgV3tBdrLU/qsRmi18QQQkMmIrS8V2mNiM0MA/+0QfHMIazsDlOT3NxWPUulMlQqiEQcmcmy++YC931sL3JtHID8s/awdLFk92cLUK9zxiVPMvORPSyfp5HqbKPy/jCyS9HMik8V2P2uBLPPs0jvMui602bjRAPHN0pwWVAPweyLITgrCC36yI269LanmZ9sRwwVaY/k2SiGMZd8PJQbJuiHFx//CN+45Ux1zxzDff9a2S+7HldeeSUnn3wy+/fv5/Of/zzvfe97n6KRHbOfZU8rZefPuih+9LNQKMSePXt+4nevuOIK5ufn+d73vsddd93F/fffz7e+9S2uueYa3vrWt/IP//AP/+VYHMehWCziOA5CCIQQuK7LBRdc0PzOSSedxBve8AZe9rKXNb8Lqox15HaO46DrOlJKpJTNz4/87k/artF/8KPbSSkxTRPbc0SP3A74sWMYhkG9XkcI8XMf478a26/qnBoB1lN9TjKXRwgNR6DK7thIXHTdcy4y24CG62HPtbUMIKGYx01GkLKGvrSFC8hYBIQDZW+s9QrgIk3VsCqLRWxZAzSw64BASo9ZJV+GoA+2KrjRIC6uBwnSMMo61sI2Eij1dSIQWHXPGdwsqKpCHbS1EiAp9XbQ8sNFwKV+fDcCMLfK6DUHG4nIlhXUY1cC32YZbT1DpUfBZEohg9hUBRBk+k2saAyBoPXObepRk8JgDP+BRWy3hrFeJuMxCEWWalR3twCCcspQHoYQ1P01Wh/JIdA4+LoWWp4UWGsVbEsiNUE2JfDNlTCrkjqSYtCh9UCNmu4SvGeJWjIOSHK7Il7RRRIp+tDT6loRa5tUBlrwH1ymY05gSxdmFwGhqhFqIODaBO6dpJ6IAhJRK5M5p5f4HfOAoLK3g0pcJ34gh4wFKI7E0euqmVMr5Vk4O078oIsQglKwwuaIhlEVyO42otMl9OXtZgN44P5pMqd2ku8zAYlerVCPCLo85dbicZ34Hp8DIXD72pFuBenWQGiqeRQNpEuuU0N3/PhXitCTQF/cpHBaH+un6Qx9ahqkpLanB2tuk2JPHDdsoNXK2G4NLB+2XSX+UAUhNKoRnVp/G/7FPMX+AOGHvB6MYhbWBLYmmLsgAZrGyCc2cS3ArrN+2aAKOoWD1u5n/SRBz+OKBcjtbQcks8906PB3Y/vByjokHi4jpUuuTSMyXaL16wep7ukmM2ISrBRB10h8+0lyyRGKezvwTa0TmF/A19dBLRGgMByh2KGDlMSnuzEKdcytIqsXtZG6L4vjN9g6OYx0XTq/PkXLSpT0yS203r+G7dYJ/vAAQU0nfeEA6V6NqBNjq8fBivdRbdXo+N4a5PJ0XruCyORwXMmhD3TDlku9NYyxUqD3b+oIWUNKF9t1SV23hV2vsHiqoGcjzNz7TPRHq6wPSfwPCOpDKaZfoDP8nxV6P7+CXS5AIkpluIPA+BKZ03rx5QSBkAlViaxVob1VBckLS8hIGK1cxKXO9rMGic7XMDYKiHiAoQ8+RuHEQfyH11l8UT89X5mmGtNIfXcRzXapdSZwS0Vst0bbfz6BbRqwvAKmjqyUQSpWHuJRxGaGejGLmKthI5DUMV+ZZerjKXgkSOoJF/9SjZXnDdLxYAlrcg1Rc8ie3Eb08RprL9tDy8Ea5hNzOP2d6AvrELE4cGmYCAc48CcD7P74GjUqjHxwASkFdr3KY58eJfXgHMP31Mmc1sP2Huj/6ixOoYR8aytiexV21SnXJec+/zDXP3Iy2vE5yiU/g/9os74dJruvStuMjnZKCfM9PoblFvn+MIeekwBHMvC9LCvn+SkNlPj2EyP0fiNH9vVZyuXysXfur9E5FQqF5vh/0XN67Wtfy/79+/nqV7/KW9/61v/xc/p/eZ1+3srL0+L0t7So0n4j43+kbW9vI4QgHo//t/YZCAR4wQtewAte8AIA5ufnufzyy/nkJz/JW97yFo477rhfaKyZTKb584c+9CHOPffcX2g/x+znM/dHxZCeKvOgHMLj3ZeWjpTaEY2QEvwWWq6EGwuqBrdaQwFWR0qB4zX61mMWIDDzVZAS3TIVJaTj4oRNpHRpohm9zJkTCyBcFxENID2nUa+pbKQdsrDWC1gFiYyGAEGlRQMEUZ9JPeZTHOvLGTVH0SDF3hBWzmXjkj6QkrbbFYxFui7Cw+DLsJ+185IgJe0rCvYhNQisVwls1XFMxSluFl0C01uAYO7lHXT/oIgQGtsX9GEt5RFCYuUccv0G1aSfxEFPQ0CAf9NWwVS7hpYtIdDovMeHXpMINMoJDaG8SbaO1zDqAiklfdduYbeE1fz4fAjHVs5tVKOaFLiaJDsUxspHiE+oplCt4niwIkX3KdJ58PkAl1pvEmvKg3YE/RRGY4QnMsh4RDX+agLQqId07ICgOBxDSpdqTENIgX/DpbS3k4H/XAME9c4YgRWXetTEn7aR0sUJmmy8aAArrdRujTIE1ioYVUnivapSkf9AN6JchXwR30Ya/BaYFtpWniZHqmlArQpBTyn50TUFCZGy2WcQfmKN8IS6zirH9wACanWszQL5ZIKt83Q4v4/UQ1APgzm1ikioc7LSinkq/MAcs7+rmpMHvjAHtk35+D5GP7mM3duG3dNCqd1H7M4ZUt+dUixLLXFA0nmnS/7cISIHttBWNll45RD+VcgNCFwkZswgtC4JzRXR5tbU/VV3cP0a8cn6UfCa/s9PNBlhRCTE1olRCt2SwX+eQ57Th0QSmNxk7iUdJA9adHx3kdlXddP+QI3EoRrFNp3tZw1R6tDouKvA6qWdRGdthOMSeGyBwEYd/8EVBIKE2Ya1kmPtog6q3TFWXp4isCaQWoKOb0zhWzDpvKNKvTXM2hkmVtak+0Z13eT3tqCnQgQfLNL7pUlA0P3pLsyZWeoDKep9rTg+ncFv1pl6hZ/dH5VkLhgguFojPWbQ/WAF4ULq2mmc3lZqbUEcTRK6ZwphetXpbJbaWD/zz7IY+vIWbiyIqFQV/exxA/gPrSArVXxZWHjlEPEZyew7Iox8vk6xN4R47RryX4aJTOZhaRWh6chalfz5owS2bQrdFqUWQSADzqlxWr9ziJVX7yF1bwFjLUP0ujBmro6ra5TOHMafkWRGg2w8w2DoX20iE3lEKMgzrnqQJ95/ErKzFW1qAelK1l44RPsd27C8xuA36yy8tBu9JImZJniBc9s3x5FCg552Aus1ImE/2Db1sV60Sp2B/0iT+/t+dr/tcW5dGCU2rtPx4Ry4WabePICoScxwDf+2ReWBEEvPEpxxxWP88PAuYvEylrCJ/1GWmYkBTuxbYfYbQ7hXq6qe67pNIpFj9j9vruv+0tn+5z73ubzjHe/g4YcfZmFhgZ6enqdodMfsp9nT4vQPDw8TCAR4/PHHf+yzxx9/nJGRkV9akKGvr483vvGNvOMd7+DJJ5/8L51+XdcJhUI/9vdTTz2VT33qU+zZs4cLL7zwlxrTMfuvrdF4HQ6Hn7J9Xnry+zExcKI+lQ1f8WgiyxXQjlDRdT0YSE5F2G5cXQ92TDXruh4Mx/TYY2TSh6sLnBSYRbWN8OkIQPR2qawwirVHL0tqbRGVj/agC1qhhgxZmIBu7TTjAqTGy5jpEmgWlXaFnQ9semw+0qDWrcYWn1OBiWGLIzD2arzW7Badj6rP7Y4W0rsVBMfU/dh+dS4hTwm3tqeH4Eya4W8qGkMqVVLLWWypttfa2sgdH0YC2RN8pB4s4pt1KXcEQUCoBFo0jraZIfaEF8z7fYTmaTIVtdwH5b2dSE2jPpDCytXJDgcoD8exCi6llI4ORDclLXd64l61Ok5HEpBUW4MYmgUZDzOtWeAKQEcrC7RYnNVnqgZpqUNxRFUnYjMOhj+M9FnEp8rkjk8SO7jK/EsUE5J/G2xDzY2NRTVuELtbQXJKJ/fi294ic4qCFnXdnaOeDJAZ8VEPQ2zRRl/Ls/gN9XxpX1nCaW9FL3kNGjWpIEpSKsVmXwjCQeZenKL/cxPNJvLSqaMEH5rZacytulCtsPbCMdq/pWBCRGKsPCtJfLJO/+3q0Ryc3KZFSjYv203rTWrM2RM6KZ7XRtf31hn53AKFswapnDFM+OElIlM5Fl88Qs9XVe9AYMpW8xgOIUN+RFHN7fbJSSLzFQxXB2HSd0+d3LC65qLTJSopP46lYS0vguk9q00TW1o4MQ0j2QbZHFIIxeLjgtQEouTQ+YNliqf2Yug+NL8frSYpntZHcgkSB1ah5tL9iE6lPYxwIViRSAGBOZDJCG3TksULwgTWwWkbI7xQQW9tRaxvE5zcZPVFo3R/e5riaX303WVjjc97cCGDvrvBWq1Q64zSf5dkc1+ArWf3kXlGmd1/sITbk2Ly74fY9Y5FZHsLxuF1xZY0tbHTZG2Z7P1CFGH6GHzrEtl3pjCED/YMMfCdLYjEMOa2FZ2uz2T8r44ndbdGy73rTL6unY77HHb/45TaV7GuoudqFWN8lfKpg0hd0Hn9NPh9uB1JEh9YZ/PyEWpRgfHdAYyIpDriI+jzs3pejFI7dN5rs3FeiN7vbIIGwpFUemKYup/iyRr+66vIfJXWm2YUxMfL+olQUN3rN2sc/Ggvvik/g58pMPPCNkIsMffZDvrflYJSiZ7rVzn0B/2MfjGIeXiDwSkdbJv8ucNE7plBt4LYQ12snBui5/MHMIC2fIqDfz7InndPgit5+JqzcF6bIa23ICZSOJdk0e9uY/2sBG6bw9hfrzL38m42Xlek99OCcspk/SVhjkuUWLmsk+ihGjO/F8afC7FFC4WzNCL/PkDsObFm4+hT+e44Zr+4PRXv8mg0yoUXXsgPf/hDPve5z/Gxj33sqRreb5z9vI3VT4vTbxgGV155Jd/4xjf4yEc+QiSiIBXz8/PceuutvPOd7/y595XP5xFC/MQLa3xc4Q6PFPL675oQgje/+c2/8PbH7L9nT0empkHBqRe9rMOP8qg3HK1G1r/hiHlQGCtr41oawlZy9I5Pawpc2UH13YbTLzXQqy5OwGxm+6W3P9+Mwro7qSiupeMEzWb2vjSqnP3QikcXGjexllVwElhTjrmdCGEsbCCAtoeM5hjDD3lUnH5PjGo1DzmFBa8mfM3xRb0AITNi0n6f6kPQ8lVqHRH0qovr8fC7fhM95ymdxg2s6XW0rSwtB9U9lhkyqMVVsOTfrLK914P+PHCEDoCUZE9RzD2aLZuNw7En0k1WnlrUbM6jf6NKYNWjhGzzHcVio69sgesSXKLJiAJgxwMYOVVtEXUHJx6k4zrl+Kaf0UtwtY5wj8iue0Gbf7tOvTtB7/UqOCn3RKmHdSJTimLOP1uhcFovZt5BLzmgCWpeD4Id8+E7vEL7lPp9/ZI+hBum/cYFxbEP5AeCxLcjSojM49qX8TCiarNxnqf0W0SxHHklXNW0KtQ16F2PMpWk/duTavy6DqUybQ+XWHxWgNRhnegTivGFdI6WB01Wnzeg+gyAyIID6Sz2SDfhA+q6W31uP4FNl56vzrD84kG6vjELpsmhP+yn93s2rk+jnEzQdssiyTsXWbusl5hfx/9kFX1hg6iXtSv0BTELDpHZDOPvHyI8reNrxNFt0P/v86xd3kelpZ3+axTEBlvh66V0EY5DodMg/dIBer48efQ5t7cgNI3Ag9MELFPh+5Nx2NhWvPQoTYzhR2gKUFX3DWCsqHNcfI3H7GbbBGdzTL4ySXT3KIEtl+gdU+R7fWxfniI6KWh9NE/7/XlmnxfBmA6oMVbr7PqTIiRiOGEfekcLrGwgUq2KOndxDcoOYrUOsQj53wmh1TMUTo8QWQyw/IoAwQWNyJIk/kQG128w9hcL1EZVE/vIP87hpuLUjuvDyFV3qGPbkpArEHhohvrePjLPHiX+wBpauoC0bVq+Pd7srxC6jtvXzsSrY3Td6ZA45BLYP0uudxRRrrJ6WTdt+wv41grg9zH6+Toyk1UsOcUShTP6CT+6qno58gVFMVsqs+eDGaWGbRoKy9/bQc//1ZAZRdsrO9twojb1ZIDqRyJEfmsbd3cf9pu2mNszgjgzS98bl+idkKy+Yi/td6WZeVGC/q/VEULj0J/uYvTfsqzLOPZNFfx/u03nb6vzb/9ulvhEJ7Ov6qb/U+OUzxjB2j+B1dMOrnqWdNy2hajUaflUC/OXSuKvypD7nB/hRLxHzrEs/6+TPVXr8b73vY8f/vCHfPKTn+Rtb3vbU0rUcsx+3P7bPP0AN9xwA8VikXw+z+tf/3pe+tKX8rKXvQxQ+PtgMMjBgwc5/fTTOeWUU44S59re3v4xca6fZQ8++CCXXnopL3/5y7ngggvo7OwknU7z3e9+l8985jNceOGF3HzzzT+VuvMX4enf2Nhg//79XHjhhUc1FR+zX96eDq7lS876IEBT5bapJtuwhnCR6zZZPhr0lkbOy65710/dc6IbLDl61WnScNaGPIfOU9XVVj0dgKh6KdW6YpjryhmXQXXd2GH1fz1iNB3g0LjaTvqUEy/Sedx2j0/fUxCWiQjVTrVf/xPK6S+d0ofp0X2aMwqyICMhVi5WAUVsxqbY4WWIN9T4/RvVpoNf7Yw0gxjXoySVBY+20vSzdZxB8qB33hW3SVtaD2gUO9X8NJR/MQ2q3nxodYdShwdlOZRROgVA+vQUoZUa1oTHsNMQufKscJpqKg4/tobdEW8KZAUeX2zSoOZO7yG6X21fOKEdxxRY+R3s4taYp9K76BK7e665ruVWC/+WmivfwSV13LAKRjbO76D1/i3KvUpUxsrUKPQHiD2Zbu5XbKSRrXEAsickid86TfV4Nd6Fi3x03VnHt6Wy5umxMI4laL99ncUr1Jy0P1jG8en4FzLUPT2IpQsCDPzLHEsv6SdxyOPIf2xJBQbeY9gWDk53C75M/WglY6+hWEaCVDvU/nyredyghT613GwQdgY7EbbLyvkxEhN2U+Rtc59B37XbYLs4iSCOT10H0hBodRdrfBHZGmf5Q+rv3W/LQ93GTSXRVjYU25DrUu5R920tphOZKlJr8Su2nWqVykkDAPgfmVUHPZKe1OdDlnbOpyl21/jcMJDVHZE82d+JlleQqGpfEt8Tc6oxVWikL1FEC4mbp3AGOlg7M0J4WTn9xTMGqcZ0pAZbJ0D37epaCd0/o5qIQ0FWL27Hl5UkfjBJ5qJh4o9sKYXtBlShWlVVGyA31kLwoVkMfwhiEajbFI5PEd6/pJ4lfh+V3R34H5lVDEBVGzcWZOplESIzgo4bl6BUwhns9K6VEJW4oOvWDGvnxWnbX8KYXUMmo4itLNlzB4jdOkH2olGiNx/C2d2Ha2rUoyahe6Y4fPUuzLwgPuESnSpy6I1+9n54G7I5CIfIntJB7PYp3M42yr1hrv67L/KJs89H2rbSCwj4kdk8Ih5j/L0djH14ldJYiuDDc0pMrL2V0mCCfJ9JaM0hNJ2FhVWER1088zuDDP7HChSKTL1tBDsk6bnFYe5K2Pv+eez+dpYuChGdcalFNVLXjKsqjBBKsMy2m8GhO9rL9t4QiUNl9AOzjH9kF6P/WsOcWSdzXh/xO+aw+1NkR4Lc/8VjPP2/bvZUrYeUkosvvphbbrmF5zznOVx77bXHmrZ/AXvaxLkABgYGmJub+4mfzczMNCO1hx56iPe+973cc889GIbBRRddxEc/+lGGh4d/7mNlMhk++clPcsstt3Do0CE2NjYwTZPR0VFe8pKX8K53vYtAIPBTt/9FnP5LL72U73//+8cEvZ4GazTy/iSo1S9iDUGuhrPcZEHxVHcdD7rjNLLki8qxazDIGEXlfDkB9bn0nCe9YqNVPHrLbpUBb/CaN5x/O2gQmFMp0HoqfNT2vukjVG0bvPZN+kj1vxv2e1hwqA4rx933xAKVExRrim9FPVRFUTlDbksE11JOWS1uEXxUBQPLL1L83q2PlZvMOnZ3S5M3vyGcZQdNMiNeUGNLAlsOjl1D6gLdsAgfTDdZjGqpIP5Dytl2OhJU2tU8hp5c3+GWDwUp7mnx5h1CjyvIzuKLemk5oOY1cHAV6jY/ZsEAxbFWQo+pbdzWGE7QUweeXtsJDhyHyr7+plpxPerDDnu6C1WX5fMs2h9U+w8/MN/cff7MftXfsKECEHNy5ShV3dpQikqbD6OonMLMqEnH3Tm0ggctyuQgFKRwgqpmBBeLiGq9uYbbJyeITZYxZteazDjzr+qn94Y062epAM41oPP7q9gpj/7V0sgM+0kfJ9n9Sa9Hw28iNjNNp95266BrSjDOsnbYjVJJxHZO0Ss2gkWPnSh77gCxu2ab7Ef6rGJfOvS+IYa/WqGa9CgPfRqOT5C4dYba7i7WTlOBWjUJ9ZiDFq/hOxBg4GvrbP2tOs+WN5ZUNr5Wx97Vo87XcwBXn92JUZHoVUnih7MsvGrIw8qzo5FgO9ijPRjTy2ruG+fjOfDEo8h0BhGNQqmkhN461Pzp8+sUzuhn4QUOY384A34fMhFh69Qk4WV1ffmntxRD1UqZw28xGXu3aqyu7e2lGjdJj+r0fWUeu0tdp8J1CX1sjcrLNNauHKL14Tx2xGL6t2Hs6iXK+3qxAxpmQVHTatPL4LgYmjf2UAiKRbYvHSV50xRoGpnzByh2aHR/eYL0xSPEbzzIzNvHGPrnJUWx2ppg/L1xEvdbdFzjKR+Hg1RG29V1LSWl3jDhBxcY/4suer+pYWVtrKUMcjvN4uvG6LotjxNUVbnxv+hk+F9crAMLOAMd6FPLSOky8Ud72PXXU8z9zgilbofffsYd3PLH5xGaUEJyuX+QZG7pILgmWT/PJjJu0vO5J5l/y3E8+6X3c/jl/eA4yHCAUn8E/0q5qXS8+Loxev/lEAc+PMToF230Yk2Jfuk6+fOGCd92GHtvP0amDMves89xkcM91JIBFp9pMfjNPNrkAtPv2svwJ9V1UjhrkNBth5rXiwgGVBWiwXLl8zH/jy08+fwPPOXvjmP2y9lTuR4HDx5k37591Ot1vva1r/HiF7/4l97nb5o9rU7//0v2izj9b37zm/mnf/on4FhJ8am2pzpbc+npfwaAtunhDzz12IbKbQPKU/PErOyA+t3KHp0xrw+0oZeV89igx2w4eJbHzY50m9ntBpRHhpXjVO5XWeNGBl0vO1jbyjmuxz1H2+O31+puEz4THPdekLatMpGwoxngwZRkOEB5IA5AYF7NXz0ZxFpVP69dmCIxrrL51pTHvSllcy5wnGbmcvG5yokNrbq4psCpVTDzLv66Ome96h61jwbVaWEk7s0JBJdUxlZf3mbzYhWgJB/Nsna2+k7n91bYOkfBHQKbdjM4KR/fjR3SsTJqngs9Fi23qOTB9jP7Ca7VqYc8qFS6jl5W51/qCmIH1LwmHtwgt69NQV9Q6sSbJ6q1bb83h6jWmwJqubP7id7jJSdCQZU5bwQTmqZ48x9XgYLb0YobMDFmvF4Dw/CaV4+Aipmm+t2rGKBp4Di4EXV84TiIrSxuh6IMrXSECD6sjr9+5QgAqe8qRdLAahk7pNbEtbSmIFgDBuYvCRXI1uvgJTUyZ3ayeg703CIJ3+Op8uo6a1cOUQ9B8qBXPbhffbZ41W5Cay6JW9TvpdMGWDvNoPPuGtkhq6lC7BoQWajjn02rOQoFyZyqAojYgSzCU/LFtlVVq8FTHwqqDLNhkL6gHyvvEnp4gUN/OADA8NfKGKsZ8vvaiTy4yPTv9tP2iEP4sAq8he2SObmV6OE8E39gsfsPV3C625qK0Qfe28LYx7OUBuNsnGjQcV8No1D3At6F5r29fWEfyRsOUzhvBN9WFXN8gdLpQ2SHTfp/a4rSezqQptasbtghHd9WlfnLggT2beO7JkFkvkpu0KcqNjevqOrCgQXqLSFyozEG36NYku4dH2Lve6dxBzqxwxarZ/rxb8PW6Ta7vlBRyr8BP/XBFOunBuj+kufk65q6Hy0LN+JHy6p76NDvdRKdEvi3XQKbNoVuk9ZrD7Pwut0kDtuEbj+M0HWl6FvymL5Mg3pfK0amjFhX1JtuT4qtk2IknyxQ6AthFhysTA0hpVImj4QoDcSV5kelSubiUeIPrqmAKxBAelUl2d+FmF1CGAbu1/xor5ZsP7Of6HQZY0YFk7JYUuq9qST1lhDWwUWm3jaCfxMSEzZzL5KkfmhQjQm6vjHTdOJnfl9x/DtRhz3vm6B85giLzzQY+UqeyT8wGfp7F318FuGzKJ/UT+DReVZeMkLHl8e5cfMzxzL9v2b2VK/H+9//fj74wQ/S2dnJ+Pg4sVjsKdnvb4odc/o9+0WcfoAbb7yRRCLBmWee+TSO7jfPnuoHxWXH/TEAIu9pLTQu5wZcol856Y0MuR02CCx4vPueA+h4jnsju2SHlPPtWy0gsh6PupfdtOMNsa6Gc68c2GqLn2KncpwTB9VYRF05+ZWUp55rS4SjxmVmvcy1J8Dlm15vOum1TjU31YRJ5CElzFUbUE6YkDSdF/+Ti+DxpTttcTWe7fxOJr5hQjSddzseaGL0/WkXu6bG4XeUAxpYLmJ7SsHWSg48+A+GzvLzFbylbX8Zc13N4dwLU028t5WTBDY8SM1meWc/0+vkTlesDJHDGartqipSaTWI37PExkXqM9cQpO5VzdFiM7NTGRECp7OleTpO0NgR5XIcFq4awfLGkDhUxppYaW5XOa4b/5NqDmUyqrLljWvEdant7m7CikIPzDYdSYDC6X2qn6IRfCXjSo23Ma5QEDcRZvWcKKFVT5DqgRXKu9oURMkbH6apnL7qjkiWPdjJ2lkqeAituPi3bfyPzmF7FLMGJjNvHMK3BVXv1Fsed5CawCw4BB+e3QkSA342n9FB6/WTyjkE2Fbzt/jqUSILLrH71RxUh1LUowahmRxiK4uMhsELkDfOTOLfdpC6IDKVb45168Qo2ydKum+VhB9ZVr0NDaVqby5rPQms5SwLL+ig99p1BZdpfF5TbD/1Pb3ohSpaqUb6FBXcFLo14lMOri4ot2oENl0CGzWMvAehW1hDppIc/IMow190WTrfT2RBEl6qkx2yCC+p+y90zxSLr9mNlYPUTfOqkjSSIDibRaxtsevGDN/afzLxR0yCG2qO870avV+axO1JMfWyCKFFQbELRv/mMAf/ZITQnEbLPWmEK1l4SQJpSFoe8XpXpiqsnB2g+7YCwnY59FY/SMHYH82pc46EFZ3uWCuhu6dUIC8lZ/5giXtfcTxidYv63j6WzlfzGNiAShI67y6zck6A3u9nkabOxCuDtN8LmycJYsdvIb7WQvLxArnREMKFtSur7H77POMfGWLsPV5zcHuCQ28NMvhlif/xeWpjPViPz7Hx/F20ffswWCYblw3Seu8WrKw310m0tTRFuoRhqB6L9jZErkD5uC4CTy6zftkAqVuXIV/g0B+NsuvPxkFKyufsInhoA/IFKicNYG1X0DJFkJLVS7rouOYQuQtHidx8UF2ezxsj+Z1xRDwG1SpuKkmlK0Tg7sMq4x/ws/ySITr/XQmb3bD2qWNO/6+ZPdXrUalU2LdvHxMTE/ze7/0en/jEJ56S/f6m2M/r6z6tPP3/L9tll132Pz2E/5X2VEqpX7776gZMXuH2G5kwUI5idwvCcRG2i1a1VWNtttZ0RhsCWzKhnOBil4/IVBGz5qBvqgdaw7GSDdEtDwbUEP/SChWyJygHpgE5aEBEGtj26u4IvrSDawj822qMDSiLVndw/AaV0XZ8qx7UJ25iFh3MgtM8vhMwsDLKETIXPCEwn6/pkArXRVTryICFTHhN767bhD2JdB67P4VwFZWoOimQljqv4MFcM0NubRlwJOYawHbouE3ty477qfTGAdArEPCcqHpINHsO6jF/sxpSHuukFhYE123KPRGCjy3htiewtmHpBb103aoyv9X2UJNdRo1Psnmpgi5FZ6rNpl3H7+HRvUAmcdjGsTRvHuRR2/vnMxx+x4A3VkHvLSH0khqjPreGdWgJ64i8h9PTqjKjwMLzXMKj/XTdnqfa4qkjZ3I71YJiCa1YIrQSxqh6fzMNpewbCiIDKpAS69tg04RtrZ9i4d9WQVJk3mNn8tiA7MEOjIll0FwGPzPN+F/1EL/fIrziwZAGNdoe9ZrKY57gXCaHWfDOIZOjePoAkMS3XaMWhVy/hlHpRPPWPXz/nApGdB2RyVEfUXjz0JqNla5hTixTOHMAs6iExRIHS1QTIcBBBgMUTunyzsOroiUcxj6yhNsWp/fba5SHkhQ7VZAaP1TCWN5m/IMpYg/4cM0ARgU6vj1DbaSD0JIKhjOjAdLHuaS+kKMeD6DNrVI5ZRBaBvA/scjYH+dIXzhAy3mrbN3ZQeud25RS7QqrDxTOHSY+ZSPetg7XVqFaI/RAloWrRuj94haHL0+gX23gXpxBfjWGb9umJeuA30e5K8jo30xx6H1D+Nc0ZGuSPX85jT3USSVo4T+wzK6/2kCmWpABE9eDwEkD5F9to70tyJ6/qbN6fgv2YCfG4qZy8nMFAosFCucOE7r9MGiC+57dQ/7cBNFCmVrMpOfWEnNXBGm/bR3302W4FGr396EtrlPf1U3vTS7VuM7YWTPYvxMEqYJdqxAgdPcUwZU+Oq6vUviQRnXfALWYwfory4y9fYHKcT3IZJz0qJ/2hShSCGrH92MdXKTtO4ehNYEz0kt2T5jkPascfmM7uz4r1LVRqUKlAmsbEAgQeGIJWSqTunYCYlHcrhTdt3q9NUKQGTEJ3K0CYt/9io2qcOEeQtNZkgfKEPCzcbJG5FA7LK4RO6xgYzKdQfgsxOwSwXwCggGy5w3g367T+YNNRGSHwOOpfHccs1/enur18Pv9fOpTn+Liiy/mk5/8JFdddRVnnHHGU3qMY3bM6T9mv2J7SqXUG06+/iMOasMhLymnu6HCq4WVc99oMGywxDTMyjmIxvgasI5GVjfsZfrDOmYDGpQuIy0Do0Hx6VUKisNxNG83riEwS7KpxlvqCWF5lKGNJuIG1Kc4FMO3XcO/WaUeVkFBeaSVwOQmgYmNJnsMhoH0mHhE1mOHWUs3ndH67i5ML7hoZrWFaDb0BrYsjJLX4DilnAjh28Fluq2xZpCjr2ztzKfXIG1tQuHUHqQmiM2q4ETqAisPWrmOlsljoKoPQkp8m2UggG9DVQ2czpYmhKMWj+FaBvpmDn+upKotjQZWXSd+uNxcM2N+HTQND3zFykUeI9KqS2z/OrkTU5Tb/Wi1NnRPYTd3fCv+DUE9htJS8+tIIVRzr6apOVNqYeqQCxssvmKI+JRD73fAzFVxAibbe9RR66EBYvvXFFbbG2Psnnmcnla0YhXpM5CRJMvnx5q0mQDFMwYILJewwxYd91UQjsvcFUFaHyjsrJFpYhxaIH/2IIbpBwnDX6hhB+uYRRtzJUvkcSgPJUHXyY8lCM2XINTGyjMgdjvgughPldmYXGKg2s7WvgiZYYPuGzcU61PjfIXAbUuQ3hXAl1PXTqBUx+ltxyi7+CbXKZzYSfjJDXq+nUOG/FS7owRWKjgBg+FPzWP3qUraoXf1YBQ0hj+xTuCRPLXoEOVWjc2TQrinhRh7zyRud5sKQms1SMR2qjVA66RN6/USXIlvWccd6KQWNfBv1ajt7iK9y0/qnm3EawpE4+uMv6ONjrtBtiUQ5Rrhx9ZYu7Sb9tepXoill/TTfe0Kjg8IhZC5HLv/8jD4LEA1aYvtHPXBFFamTu7cQYzuEiVfgKVLW6nFW+m4t06u3cHajMFyBrG+hTB0NF2Hep3Sm/uZmG9nsFPgn96k88Zl5l7WRd+3y4j1LdA1aq1BHJ+GHO5BzCyBYRD54WGIhJl/icPYe5bo/UEvpLNoV1m47Qn6QxVqe3qYeYEf/0CO/t/bpnqwDT2/xsYVw7Q8nGXxt+rEO3fjmnBRcIN7T9DpuM8h36Nj3R+G2hLCkYhsnuxoCy2PR0kcKim1bb8Pmc2DpnH49UHGPrIM5TL7zp6i8lHVWzLxNykC94Xo+c9p9Sx0XEQyztTru5AajPzdJEvv9rH7sRgy4KNwTgn+XUMkE5AvMP6hfrpuFIjlDcwFJUg0/LeHqHwlxNI9exn+xAT5Z+3Fl6kz83wfu/78IGTz4PcRvUlVA9AE6Ut3c++//4F6bjyV745j9kvb07Eez3rWs7jqqqv40pe+xDvf+U7uuuuup/wYv+l2DN5zzH6l9lSWBC/vffvRf2g46I1M7I8wAMh4uJl9L+1WmUjfhsos69senKHhWB/hiDUDAJ/H5OQ1bm6drfDxkfkGA9DO8ZpZ7t0e40/Jxg6qGDswrTL1TsyDClk6+X6VSQ5s/njTq/+wV5EIBhAeVWfz3H7K7Vs+TmVjA/PZJr1nY5vK3i6MvAdZyWQQhRKG5gPbwfVgNM2G1gZM40dNCNxUHIBaS3CHmnNqUykLA67PxFjYwPYaTI2NHJnT1JzF712iMqp+nnuuwfBXveqIvfMicX0GRqbM1qmqsbP1jtUmnnz5RYOUO2D4U7PegX1snqf6CFrvVN/LntsPQHQ8zcIVLfTclFHHqDvNqkbx1D6ERFF3AtZGATfkQwqBsZHz5t2HKFVZfbaXEV912DhZp9qqthn7izmc3jayu1RWMnnzDETDkN6hOJXtLYhKnelXq3OuhyWD11axlrK4Qa/nY3kdW9aR7S2sXqbOpfffJneaYhvQnXS2ibG3hzqZvVIFbCMfnwApKZ41ROjeaYh591guT+nUAYIPzap9aTuUoU7ET3YkwPoZLp13qEWMP7zBwvPa0RzovC2DtrrN8ouVCFjXNZMQCLB8ZTdd/3EI2dXWbP5ePyNK28MFJl4ZRC9rRGYhOa7Wy5pchXode6gLY2qJ2nF9ZEb8pL59WI0xFCJ3aifRR9fV+cWjLLywE18aih4j8+A/TVDf3YM5v8nUG3pJHJLUg4LkgRLGVglhO+SPbyU8qeZ97dwkVl5iFVz8axWMjRzl4Rb0isPWCQFyw5LwnKAe8dZIB18asifXiD1s4Zrglit03JFl9rUpInvScEOSzm9Os/LCITq/PsnCq1WvRrldEhlL0/k7Wzh9HWT3hElcfxD59SDab2tsPKsH32+tEX1dmc1nDxDYcggsFDj0rgB7PlZCFCtUB5L4HplVSQzLUs8x79lTOGeY4DsW0d4cgEKJlecP0PnNabBMal+A2Yd62PXZdShX2HxWH8nHc6pP4o+3wTTYPDdF6/WTTP9/o3TeXSPw0IyiEd3OgGlSG+1QcMIHFpGFIpUzRrC2q2jTiwjDwB7qoh41qUUNouPbrJ/bqoKwck0F6QE/VGtMfKyN5PVBWm6cJPPMYeJ3zkOlqlh7wiGy5/QRu2uOQ+/pZ/RLBUrdQTQHgvdO4fa1IyY9hWnvGj30wTFm3qac/mPwnl8ve7rWY2Vlhb6+Pmzb5oknnviFhVd/0+wYvOeY/VraU1USvHzk3eCzmsw0etrLDtdq6qVp/3gWQmQKTcc3MO85ZA3n2XE8gR+OdqSPbORsYLK9ykL8UIFawo/j1xVLDeC2eA9Aj3M8MLnZ5GovndGt/uY5rrI1jPS45X0Zj2Jz2qMH7Y4jf0RfoOnwN8boqRD/JMc/8MTSj/0NQEbD+BZziGIJXKnYYlwJmgNCNJuYrdXtnfn5EarNRu9BsT9CeCqLb63QdPzcRBhtLY1MRtFLSrTK8OAyBPzE7/Je6q6Lf1Jl411fB9tjQczSzjEa8+H4wkRnvR6Fag1Mg+3zevCnJcENiWxRjnClI0SxU2CHITvaSf91RSyvCrJ5RhI7BOkT1Hdjh0ssX9FCcF3Nm3CBpE50powdD2Cu5qBUbjbkbp4co+3+bYLr3pj8gsGvbrJ+biv5fpj8vSFG/nmV5C2byGQU2RJTkB7vnAGWLk5SGHDxb8DAl7w58HovtEJRXX9CgFRwoN4v5ZXj12C80TTYziBTSWhLUByOK5iOEPTf4EHGBjvRZ1YILJdA05A+QzH8sMM81VjL2pjqzzDyVVpuWqXlRqdJd7l9RorguiTxWJb8rijVU+LU4t7CaBqUSpRTNFl5pAflaf/hJmJ9iz1/qUHAT+bsbqpJk8hdXiPxqQPUojobz99FZB6ST5bBlcgOFWjqVVfdW4kY5PL0/vs0td1dhJd01s4wIRjEXNhm/L1djHy5zMq7anT/pYa+us34BzvZ/YmSmr+1LYpnDBJZtFk9yyB4Ypb5lSh7/6RI4KEcsrOVzu9uk3l/G8nvCZbfUMV4OIxwoOuGNbq+VVVrEwlT6g6jLW+w669zTPx9Fy05ycTvDxGZA3uoE8cP4SVJuQPyBxO0d2roC2sUL4iQFBriJRUOfryf9uslqWCBigOFHkHy8SLSp2Mu+RDVLOQL+B5XvPuH39FPaFcG61tx2r43y9azBlg/QzLwV53QD4FHsviyksz5A8SeTCM/FGbX5CIYBpNv6eeUCw+x/v5B4rdbTH80SnU9SMtDKmgc+s8NSgNxyqcNEXhkjtIpAxglG2slh/nYFtmLdhN7cIXA/lnFsGSa2MNdGIcWMHwWAb8PyhUSh8OU+6KIukt6dwddN65BpYr/wRCJR5W+w54/PojUhGIV+scVVi/potIC0ZvKuH4XMblAaMqjDu5OIWaWd6pvgL1viODiThX3GLzn18uervXo7Ozkuc99Lt/61rf4yle+wgc/+MGn5Ti/qXbM6T9mv1J7ykqCXka+waH/X9oRMBcAkS8d9Tu6/pOpJY/8jmduawxtK4e+liGw7DmqniOs5cpHb2vbzWAi9oBqMC2e3I2ZV8eyZtX4i2epLHIg6AMhMDOVZjYaKXcYfVx5VCPqj42vvgMB+tFzRqpyf9NMTzvA3dm/XjliDhpUo7WdBlR1kupFbGXtpjCaSOdxupST7HQlm7h4pATXxelRUBy3I4o5v6mcO13DaQmz659LFHtDRJ9Uc+FE/eRGVNZcr0p823VqcYPq6T1YOZtaRJ1Pxw/WsFsjrJ+uMt1dd5UVfME7rt6WIL0vjl6D9gdspaAKoAmi8y7x+4/QDwBkwEJUbfW730dmLEp4sUp8soLUNCLjacoDMSiDG/Dh+KD9Qe96Llc4+N5+9vzfWdXkGglDoUhpbwf+5SJdt2TQtrK4bbEd9hvv2EcFCY05E0espa6rpuIH5hGlqmqaTdfAMjGWtpSDKqViFQqH2D4+QuviOiJfYusylYkOrdTxPzav4DDpfJPaVcbCpC8cwMq7BKcyhOp2Eza39txBXBNanqhgh/yEll2y5w5QbtOIT0g2TwoRTQwoYTuvQT20voXsaEWsbeHftNk6ziJyn0FttBOj5BB8ZIHs4BDtP9xk4bmt9D2pgvHs2arfwYkHFeWo44KUzL5Rsusds/hGR8FnQjrL2PuV2m3gO6PoC1NsXjZM222weUqcShK2jh+l494ahW6T2IQkZyeJnpRh+v8bYeizcyo7XSox9p5ZCIWo5dtonXCJ3TWLbEtAwAIiFAcipDttYlY/+eMijPzZJvWUjmP52L6oQscN23TfJhCOJDJnsHWCj9JABAYiuBaUTh/C9WnE7tFxDUnlxRK3s43+b2zCyjoCGP6ogFQr1RP68D0+z3NuehyeUQVNUDg7AgE/LdcfJvFEO7WWIJrtguOS/MEUmWcOURyO49uqUjpePT+6b6sxPbELeqD9mxNwox/sLVaeP8DsS1IMfG2dWlwn9v1DSFcSuHcCNIH0nlHRm8Zx9vSjTeRYf/EY7bev45oahAI4qQT5kRBaTRJ9eBU9FUWbXKTzPhfaWhj/mwFSP5CIuWVGv9TfJEYY/dBB3P5O2r86Dq6keP4uRv6tphp2wyGc7hb0tSzOSK9q0n9ynrnf3U3fZ8bpfVzCh9VtcAze8+tlT+d6XHDBBXzrW99qCrAes6fOjjn9x+xXak+F6Mblfe/Y+eVHHdufZj8q3nak8yzlT3f4G58fsX9tLd1sIhUlLwt9JGPOT0PM2TYyGSU4l2/CjBpVgNgT6WbvQRNGdCRl5E/K6Df+duTfDePoz3+W2c5O4OBReupbBRUMREI7+G/vOI0eCLHt6Qe48aaomdA1pKZhLDfoTY8eq76utqntaqN6ksJrONbO+GJ3zjJ/1RDSi23aHqlTShk4pkC4Bvke9UF0TiJcCGy55E5M4d+s0fV9j4HElWxfNKDgNUBuV4zIrJcF9xsY8xvN841vhdSaNc4PEJUqpRNUNUZI1RS8eYLK1EcWTQJrFephndgjqkIh9QiRBxab+9zzqS2m3jLE8Kd26DSzgyaFrjhmWQKqgTS4tHGEnkRYBaCJ2A4cSErQderDHWRHVC9JsUNQiw6iVyShJS+wNAx1Do2+BC+YSIyrjPH8b/XS96XpnUXQNMTaFjKVpDwQJ/jgLKJShePjCEcy8boW+r9Xw/d43lsfCC87mOkyyXENx6fh264RWoZSp7+526VnCnb/zRJ2Vwv2aA96oYJMJVm8yGLkC6uUT+hRlKSRMAQDdP+wSPrUFsqdkvz5I4SncgQ2aljjqgJSG+tl42Q/3V+dofs/TIiEKfRKZl+aYuCzOTBNKnu7iCzWwXZove6wCiIdVzmaAT9ua4yg6TWpr4N8KEzovgmWXjlKbMZBq7USfHyZem8Sc9XCn64y/qEeuq43iN2nmJcWLo8y8rdbYGhEZ4ukT08RnSjS9r1VEgfaqA22kR3y0fb9eQzLpOvJItnzh9k4WUO4sHKuSf93i4TumKd66jA4LtrKhrrXfBayXkd4dKy+A0tEv+ny6c9fSW94AZkvEH50hfEPtLP7H0LMXRElcdglO6xhvDNF+4d9bL24ROy6EL5tQXB8nbmXd9F1R5mW+3IcfGsCK6/0cIJLZWpRCJy9hXFJgdgLtxT2vlKFapX5z7TT+3/qFEcS6BUX/72HEZ0pUtccgJaEWhch0DNF4rdt8P+zd95hklzV2f9V6Oqce3py3Ak7K+2uMkqIIAmQQIgogk0yMmAwfBgwYPx9BtuAjcnBZGyDBRZBIBAgUEQ5p02zOznnmc65q+r741b3zArJIBvttlC9evbZVXd11a17blefc+573pM7tYvlF7TTcsMyuFziubaZYPhvSxjNYaSgH8OpUD1lB8WYyuIFumggJsnoQ+14p9IwKxIgY+/sYuDz0+BQqfo1tPUcoWsMVv4djL4OMv1btUZ2w6bGwpNpj74+QSe8/fbbMQzjcZuv2njisJ1+G8cUf5AHxXaHcvv5Hs/Ztrq7mkGRPa5n0H97cI9/rkfvFNQc9O2c/98F06w7zEedzzS3zgeCxlJ7v/awc2q/LcX5RMpxHis42h4wGMZWB1XdCkg87qMUkbaPvdrTLPoOyFuvy+Xq4wdPhsgKpXs1/LMVKlaDLVNG8H5lmdCEQapH3G+y31FXpCkFZDxrBut7ZPKtKr45yDWL4woRF+6YRrbWMfjHU5QHRNYzeOeMoNcUS6L417r3+cuEIlDz/XnkilHflah2NZFtd1C16r3TAwaeOWi7XdQ1KLkyFa8H0yV2QOL3W42raoFToSiaDqmqeM00ie0voKRLGG6rKVhYA48H8nnMqKhVGH1HC7GHIDjupSxbaj5jazim15B7usg3SSgl8M2XcGzkyfcERDF5WqwZMxZBWt+sX1OZXqba307Xf4xtBayWCsro21rwzUk4EyYeh4NDf9cO6IT2ORj86iLFvhilE7rQ1rK0/maDmUujqHkfqT4H/gUdJVNk8Xyxo5NvgaaHFXp/XBJFyLOr9TmeeV0PzffpLF7UQjEG3clWMbaFDdS5NSITZSLXyxT2dlFs8eI+uMjsGwfo+vY46V4nzqTJxgU9BMcLzL20lY6bKnimElQG23GMLrD69gJdb9+oS9YS8EEyLWRVqzqFNi9yxcT98AxTb+mn96uidqDtpgSmJLF4foh0TzdVF1S9BqWQg97vVll6W46Kp5Ncm4RnBuZfFKMcBAdOtCQEJiWWX9yDVIXmn47hCvVx6O/a8cyqdF6fpRSUiT+gIxngv3OyHsA5H5gQdvd5yAxHKIZlKj6JtqummXtRE+HRMPr/KeAbNFm9oJONU3Tid8sMfC2PPLdC75UFcjujdP10k8PdIdqn56jO9hAaK5BvdaHkvLjO3iA/Fia4nGb4w+MY3S3IyRwt/7WO+d5+KvuDlJcdJF4kEhaFqETHj+foem+OxJmteBdKJAZdrJx+Aj1fOYIUDWMEPeRPaMJ3xwSFHVFc9yXw3jeN95CHI/8Ypq3JZOnhFgY/IQIveXmTxHldlAOykCC9o8CuT2VhM0l5dzeOfVNILheLbziB1uvXCR1BKF2tbeDclyd54QDS68vEXRswv0Jotla2bzv9jYYn0x7Dw8NIksTy8jIXXXQRV1xxBU1NTU/a9Z5OsMMnG8cUuq7/77cFnSJThsMh/jw6213L3tb+VHWoiuLNoxz+7Z/bpgn/OzPk2/EEHP56wyyX8+hC3Mf68+h7qVE4/qd1949zX6b1H8WSoPFs/5N/FFVp2/XVmVXUmVWhp2+dX17e5DFhmlS6m1h/TidK0cTQZJSSgVISDcJq53VkdbwrJoYGFR9kuyTRQMwpETyYRHea1h/rtDLoTkjukGm9cZ3WG9cxg/66bGe5v4XUyc3orVH01iiLL+1m/tW9KBVwb5qk+9zMXeAjc0anqD2YWSX2UApJB8MBvmmZXK+O4ZAxNIVK2E3stmXWzogw+qYwky9zbzn8qirWmcVzNZvCmE1hykEH8uomSr5Mps9DKayy8vx28qf0ICXT4FAY/I8kuiaxeYIXx5F5HEfmMTpEAXh4XxLXpolr07Sc1QiloCKCB1UFVcUIuDBjEYwWQaFCN1CPzNXtXe1rE/bN5hj81ATZDpPkgERhVyvxOxSGvlWk+b4slCu49s3gHF1CWktQDXtov7VApkto22vJCmOvD5PtMnFkIDgG6S4ZbXyZzJ445f4WYUuPm+6rVjBUichImbbbykJNybBkVoul+k6be3QN10IaFJn4g2XR8MkrET6UJXQ4i+5W6PzOGEhw+B0xTAlQFLrescncn/Qx8rEORj7WweRr4uRO70EqlSl1hVjfrTJzsYIZj9D75SMQDFDZ2Uk16GLyVSGiB8q0/HSKbK9BcFQmcPcsrsl1PNf7yXRJOHKgZaDiMpBKBi13V+i4chI5WyQ5bBAZyYu6gXtmCO1TOfOSfWzu8qI7wZHV8d83x8g/9FI6sRsMk/LJfZSGWjj8F1FcayWarhmj7WcLGPEQgWkD3/1zTLzKh2ujSvyaMYb/fpJcq0SpySkCtlQa7wNzSIkMvjEVoylM/H6T6Rd5COxbY+3UIHubFvCPptl8RhxUBd2rkT0xzv6v7sZUZJxrBeT1FL65MpGHEoQmdcjmyexpJvTLEdEbQRY1J6ZpYK5vIi+s4R1LgqqwcJ6DuTcPCxtncwy+Y4r5hShqXhJ1GRaVL3TtYZqvHqf7PybRptcwl9cwelpRM2UkVWXxFb20ffcIUipD7KpDmKvrFM/oxzQNgr86jLm8KmpRZIn8qT31x8gf5LfDxh8MT6Y9BgYG+Pa3v43b7ea6667jpJNO4vbbb39SrvV0g+302zimUBTlf1UAdFHHu6xt6bJwuB+Lb/4Yzq3RHMZoDh/t/EqCCoDbVeeY153y2p/acb9DLQfY4sDXjtv2xwz6xdiKJUHD+F3O+2MFHr9vQCLLW/f1WNui284hWf/9FjStTvl5TNTurXb+xwtIrDEX4qLbqa5JZDoUSiEFJAktY9TnxzWbwrNSITBjEpgxca9A8w2LNN+wiJQpYPh0tJREOQD+BR33pol70yQ4aWBqKlImh5TJoSYLaJOraJOr6C6J5LCP5C4fxSiUA+DImaR7JdK9Er4FE0dm64erHHHj3jSo+KHiBzUjo7sUMt1OMt1Osic0UQpBYFwiMC5tNfOqVqn0xqn0NVMabCXbF0D3aDjXS1S7m8Ew8M0W8M4XCY8UWHi2A2SZatBFNehi4xQdLWsgaU4kZOT5VfS2CNLSGrFrx9GyJs7DC7R/f5LgWI6qS8KIRyDoR0kVKHYF6022UBWxdlUVggHUsXkolynu6aK4p4v+72fo++EmVY+CZIhmb7pTyFAWTuom+cwuzFgIuVTFMbdJ83UL5OMy2vQaA99J4F6WcKYN4r+eoet7M6xe3MvmsIJjM0/mGV2QzZHe04RkgJqrUAqprD2/B6miM/qmCEuvHsLoaRXdfVVFBI6VKrpLZvQDgu6Sb/eQGPaR6RDrsOpRaLkTtLElUmd3kz29C0OFnitBTjmoBE0qPpmxjwdxjiwiGSIoLLb50Xe0sXlmMxsnunGML9H/xUmmXwObz+0hfECm9YeWrvyJcZp/Pk3VA7GHC7T+aJy+b0zT+ZsSnocF9UhaT9JyJ6iHZpi9SGLpZX2oBbjljt00XT9L64/G6k2spJJMaoeT5AUDOB+eZvVkJzt+WKTvM6MYbXGMoBc5kSN49xy4nLTeYeBazICiUO1ro+3WHKWgwpG/D4GiMPKxdmbe2Eu22wBVxpQl+v91msErZ8hckOPWW3azeH6IlTMNUBQcE8uku1Wabl7E8cgkxbgbNA3n5CpHLg/hXi6w9KohUj2icZhUNYj/cAS9KSToSJKEWamwem4MAn52fHqEzm+JZlyLrxoAYOdfjdP3zRmk1U20KyosfDUsvs/FEmahiJnNgSyRGvQJGWCHg9YrRth44aDo7NsaZ/bfO8i3OIQmvywhOZ0svLofKRSsd/OG//1vh40/LJ5se7zuda/j3nvvZefOnSwuLnLBBRdw8ODBJ+16TxfY9B4bxxT/a4XYx3O+H0+u0/pbXkk89vlKZYuf76xTMJSVpHhPN45Sk/itaz/aAa9UHteZP6qA9tHj3n4eq5eAuc1Zl9LZ3x0kWNAtecwaZcWIh5DXrN2Nx1E1Ogq162wPprbpuj/msb/HmLzzebLtPrxLYi4Nla3CWkkSWW/AlcpgnthOrtWBWjCP6mIbekTFkbOy+H7Bmy5EJUDCmfKw8PIQAD2/yDL70iguq7zA0CDXZhIcsy532TqRf4uyeqpMYkjCuyQx8rdd9P5EzE0hIqMloRwCNS9Riqi416oUYiqloELnldNgmmRP6yR7WiflgELk9sU6zz3XItN2/RqVmJfpS4QTayoeQoclfPMVa4xWrYFTwTW+xvAnAVkieVIbvv3LjL1D8LF9s36iB4sEbhfc/Nk3iMLc1jvzZAYCLL6wyvDHE7gnNwXtKBgQEorlrZqRjYsH8c8USQxqtF4rVHwqbSH8+1bID8dxJArMPz8CZ/TjWzTxTxeQihWUtURd7af1B4IeI1V1wqNBSkG5vssVOZAT1J5KhaU3RvDfaRC4baIuGSq3uGj69Qx4PQx9ehoz7Ce1O0LophXMlhh4nEhLa3gPrBC5sY3kIDiyMqkBidCoycZzuzAliN08x9i7e2m/uYrn0BK+O4sgyww9bIrdDMD9NRV0na4r50TQY/VTyJ03QMe16yy8qg9Jh+EPifnMnNlNebgTbW6TpbNVWumg7c4q2sgcxb09qFPLFMMOtGqTEA2QZeQKZJ81SOttEqGH16BSJTATBV2nuLcb18EFtFeuMPghF7MXB8m1yYRukuj87iQE/Uy/s5+Zl/kITJnkrU7aHdclyTcrpLsjtP8giZIrIW2med7XZvnB1edhRgI03eIgdXGW1qs8yKk8VVeA/J52fn11D/5lKDZB6x1ZWu6UmP6zXlzrUA6CmUyBLOF9eAEznyd/zgA7/2UWM+DDv+DGe8sRYefZJSSnxtIz/bR/e0Q44KpKxQf5HRE8tTXlchI9UGL6m53E/8ONqUj47pyg+M4o7fMrol7B+t6O//UwhmbSdpuBMrfC4iv7yfSZuHvTRG8Pi74Pv3QS+fkIi68dxpUwSfdI9PzHNBNv62HHfyzVv/9/5OriTzkcC3uceOKJ3HfffbzkJS/hxhtv5PLLL+euu+560q/7xwzb6bdxTPEHe1A82gF/vPM++vVaNt5yWPS2SF0aU3m08k6NL1x61G7CYxXQ/ndj/H3GVYNuCCoSYHqdlON+aPFTDomvqv/BxS3efMDqVpnJ1a+lrFgOvqpQ7hEBQLXFSzlgFcKOCydIXtqmeqTKoFpZ/Uc7+yB2DGqKM6ZJtdvqPZDIi4Y6/x1Msx6AhIMaq6eJ6/jmTBxLKWEHhyrUmKyskXsqgaFFf2sckSMl0XjKGla+RUPSt+ZYzQv5xOSgl/ZbCpTDmnBOAUyJqhcyvQaMRdF2y7gsgaFiVGX4Y9NUe4SGvqxrlENQDggbZdplaJdxbGtZUBpuwzuZ4llXPgjATz92PuEH11l+bhy5CuldEXwzOfq/mwRg45QQwfE8SqFKYpefQpNKdNzAdVBkMnWryZXvoXmMaIjOG8q4poSNNs5uIbIZYeHCCO2/EfOdGvThny4w+K86pDOMvdsKBu6q4p1UMZ0O5DVx7eivxyESovWH8+RP7WHhPLGuB76VxlCg2Oqj8z/HMZvFnB/+8yDDn08Le1j66yDkXgs9Qfx3TeFtb8KMhSi1CsdeH2rDObtJ31V5QUep6hgeJ/LSGv47rFqQdAYMg/H/56a6Bitn7mDoX2YsdSoVZImN55TY+dfzaD+UKP9gB86Uge8BK9vrcrLjBxnkZI6JT0eI/NhD+Eah5KOupSGTFT9okgRZq9GbpUylPmuT8aYoTXtXkL7ZJAroA378+1ZZvKiV3F8E6f/YJtLqJkZbjPypvVQ9MpdeeS/fmT6T+Qc7aL3TwfSLnBhOE5DQEjKeRR/aahbXQ1OgOXAuptl8bg9rB6F0qkTPN8ap7mjD6Gym6tOQq4JW5loDQ5HQstD0YJZimxf/bIXEoAOqVQyPhlz1cf9lOzE/mgVZRtckKkseqm6JasyP7oJyQCG2X8d/2zh43cy9sovWO3L45kzKAYlS1BSZ9ucNUfbKRB/JUPbJeHJ5KBTQvlRAulsDRcGMhWAtQfv1G+I5ZD0X2789Ah0toBuYIR+6z4Vz3zS973RgxkKsnRFBO6GLqkvBPaMjhQJIZDGrVXb8ICkSLrqOWSrTcluS1u8tsfminVSbVbR7R4nvc1I4vZ+mh/M4xhYJF0ukz9/JS150J/u/3LLtUWI7/Y2EY2UPn8/Hd77zHTo7O7n77rtZWFigvb39mFz7jxG202/jmOJ/Re0ZeL+gLWyXPISji13htwtea6/XnPhKFRQnpR5RkFhrqiWXRaa31BpAs7rHypm8+HxpKyt9FP67B9/j7UY81nmcGpW2ECA69db1+ydEYy5HU6juxNVVdLYV/z5aWQdg9RSReQ7MGrg2RKCQGvITvmVmmxqQBIZUL7Q1YyGktCVnahr14udaP4RySMO9mN2qjdhOH9p+v4/+t0PFfWSFQKwD1/q2BmjWcXpXfEvmM5fHe6BKuSdKeaCFQkxDtiQhV09W2PH1GQC0BRfVc+JE7xHOcVwKsDlcoyS50J0ScsVEKZt4Vk2UMrTeKuZs+kMy+Tkf4YMSFY9EYXcHaq7C2ilip0WqiKmRyxLFJnBuQsuvFupBkVw2KLb5+f6XLwSgaSpHak8MvbYEIwr5eIDwEbEW/TNlMt1uDBWKUWHbwu4O3PvnyZ/SRaZdPIrlnm7Cv5mhMNxEMdqMZ7mMf7ZEocNP+3UbJE6KYFhfIVOWmLnET+cNKgP/YSkYWQpAkiTVi16RJFjbxOhoxrVaIHpQJXLTdP0copeEjrS8DpLE8Ec3yJ/SjWdKoRLzktjpwb0h1odvNMHKS/pxpgzSXTItdxeQy2L3JrM7jmc+z+JFLbTesI5kGIx8souhL5QwNDHouQu9BG6C5lvXWLywCSSJha+E0H4aAmDwc6IYd/7bMVKn6hiawuwlbTiXHUT3i+ukuwJErzLItsg4zupj5TQF9xrkWqH91gqeey3FIsPE6G7BVGVa/2wJs9mkeFME9/1jVIY7KTS7KERllDIMfDgH2TwT7+jHkQG1CJIOv7j4BPKvayI+WsWxmUf3OWjvW0P/djNgbnUV9nnQW8KUwk4ity9iKG2ED2ehKoqfc31B1k5S8CxCcLrMypkKQ/+eQypXkdaTrH0gStffVXFk3BAJoSTzbJzRRPTmWXb8ZRpMk+YbS5SCrcSuOYJpGrSMgtQUxfC5ME0DSTfo/IXo3B02DCoBJ0gahWf0ozsk4teMgW4QTgaFw2ZA7pvtrP6JTP60Ar673KSGAvRdVcW5pEIoAJksktOJObOIqcgknt1F+JeHoSlKvi9MPq7iWasy8TqF4Y+tgVOj0B/DkQlS9aq4Di1iBv1MvC5G31Vppl8coO/rSVafUyHyc1HAj6Yh6SaOqVXMfAFkGcMh8YOHT0N7+xbF0Kb2NBaOpT3a2to46aSTePDBB7ntttt49atffcyu/ccG2+m3cUzxvyr8ebSzX4NFv9Gjlrb7ouWg1xzPWhBgafvnThJZAjWnY6rCATM0mWKLB7kkzmW6rK/GxtGFumbIUgCqOdzbpTR/V0DwWAW6UNe3r+04JPaEBLUFcAVdaJOrdYcfQMoWwTQEd9vS164X1AJGk1CFab6/gO6yCkutICJ8y0xdM1/ZyKJbqi6G34c2uSqCBq+gpKAbpAeDALjXy6iJIq5CBSlbqI/d9HvrlUFSKvfYvQMkCTMgpPfCdy5S6RDjq7SFhK6+aaLMrh49V9UqjnWRWjdUGdfoMkY4QO8kW+NDONOVZnEP7pkk0mCc0FSVuQtlwGToswv12oRye5BCm5dci4rvVxD/1QxGNIjhFe+ry0nCXgfpLgdKATpuTLO5J4AzWVPnKVAe7qBqzWmm04FcBS1jkOl149qo4kNFKQvbVd62QeJncSIHCzg2cmirIijTO5uQquKcyfN6CN02g2s+jB5wIh0WcqMrZ0i4VyT801WUhQ00AMMg8pusmGNL6rXvMGTP6iO1o4nYHasQDGAE3KyeHsC3WMVRr72QkFc3Ke1qJ3L9RH3+5i8yGb5t225NVQe3C8/+RZLndlKIyCgl2NilIJch0R/DVCC6v4h/ymDh2T7y7QZdv9RZOlsGfDgysHlalOjdqwz/9SwTX2olGrAay2UNmr+5DqUybd/bJPWcAbITEsa5FXZ+VhyjB90EJ0ukBpz0XDpJ6pNdyJUK7rE1Dn9EfFeC0xq+JYOyX8a5CZ4Vg+Z78kgVHTMeRbI6SY++wU/brWD09qNlDTwHBF3EMbbI6mn9SFWIP5Bj7kVip0WuQmFvAXXKTd/31smd0I57xcBUVKRihZ1fSWNoXpSlGSiXKZzcg/uBKUY+Jp4pbb9UKPXGCB/MUmj34Fv2YKoya3sVPMtQ9YC2UWD4k2lWntdJxQttt6l0ftSk3ORDzVdYOj+O44VrrC5VWXlWG0pKZehTUySe0ULHjVZQ53SycWEv3qUKpaBKcE5l5GOttF7rwD+Ro9TkZublBoNfziAZBs41GSIhWNtk7PIWKpEYw+8fJXzbHJ1Xlki9pxV5fITW5iYSp0TRHjFYP6+FpjvXWHhBnGIU+j5ziMjti5iAubyGZzOJR5JAN2hzDjDynmaGP7+OUtRRJxZRKhX0gU6Gv3yI6ru9SFML9H11HbMpzPCH5iEagVyew//UgrzqYHBUricRggc2SeyM0XzP1vPXLuJtLBxre5x77rk8+OCD3HPPPbbT/7+AZP6R75n9vq2JbRwb/E9bd1/U8a7Hf9NyMI1YCADZcoDr/7+9yRXUO63mOr24V0VAUIoKx887Jrj/5bhwJNWsldldTT5+5v6JfoWsz5UGxNa1mhc/bPk2t1AnAZypKhu7RCFx27VWNnF7V1wrgKkXG2/b3TCaw/UahvQZHQAE7pk7arxl69ryYZE1V1UXujUvus9ButtqNqZD5GZxDKpCpVNQQOSKUW+Mljupvd6cyfPIfH1MesSPVBE/DPJ68nEDgjo87q3AzjDI7+kg2W/tzsjgm7eyzRMZZKvTLJJE4YQ20c0VmL7ESfgQaGkxnqpHInwgXW8iBtsCNsMgc2Y32VbhxLf+Yo7lizpFRh/InNSC/97Z+ucWLutF18CzIs5daJKQK9RpP5JhYjgkIocKbA5b+vrt4F6B1p9s08s3DMxYiIULRfDV8RNRJLp6QSeR68bFuIe6WDpLo/Xucl3e1H/fPGYkgLSycfRakGXm/rSfpkfKOJfFvUnZIhQK6D0totkVCDnLjAjMMs/own+v1RnY7arvEJitMbBsKeXyFHa24FwvIG9moVoleY7o5Fv2yWhZA/dqBedSmkJXkKpXqXffHfurAXb8MIU8Y61dVdkas8Mhds5q2vqag/xJnUy/VKL/e1bTuvkkgW+nuG+qi76vmlQ9KlqqTKHZZQV0sPNrCaRipV5Lkz25napbInT9mMh81zKRkgSaRuK8LlzrFdwHF6FSYeG1A6g50N2Q3mHgXBfn7f33GXInteM9tEq1kEFvidTnNXdqF87NMqsfLJKeCrHz45OUdnXinFqHcpkjnxTfq9N7Znng9kHcyxIdV04y+bY+TAmcCUifUGHX/5vjyF/34uzO0PPeDOXuKKYsMX++k65fFxh/k8LQvxYxnCpKtkTFCojm7uik3F5h6As5xt7vxHXATeSwzuawQseNWTZ3eQn+6TzL6QBxf4bqF1pwLxeQdJNy2EXVI+O9fQyzp41cl0/QgsJBZl7RQmjCIHjnrLBTuYLZGuPw20J0Xg9qXmf69QZmxsHwRyYxC0XoaEVa3WDk070M/90y+RNaUcoGSq5KOepEd0j4fnMEgNJp/WiJItL4HJLXI2qpTIPiaTtwH1hg5J/aaL5OQ8saeG8bBcNEcqgQCXHtyD8B//PfDhtPDo61Pf75n/+Zv/mbv0FRFBYXF4nH48fkuk8V/L6+rp3pt3FM8QffEqw5jS4ncraA6XJghkTDIzmR3tKerzui3vrnPEsFSjFBgfFMiwdYoTuEaWWu3Qvih1bKFgQ1qOZob3e4aqjVClgZWCMqMuRYGXY5mav3C6g5tlu7DArF2FZDLteaFYiErHPXZEF1Q3R0BfKdIijxjiWR8oUtBwooNrnxWPKZgf3rW9Kb23YktHFBG6pKlmqRLFH1izHIVQNnWpwr36QIelOhCGVD8PBhS0IU8N43XdeBr78HLJ/bRvsPp397zqyi4FptQDHuqu+wePZtqXU414vIPWJeAzMVci0q4cN5DI8D2aFiRATlaPYFDnquKbM57MQ/CY68galY+v8gHM7yth0bScJoFcFLIapgytD0SIFKVwzfkm51Udbx3zNTH3fpxE5i+0skBpxEDmQ48kYfYKJmZao+A++8DEhUPaDmXUjW7XZdm0Nd3CB7RjdqXgQt2nqeictC9F2dRUnmxdrM5AhOl8if2Cay6ppGz4/WOfz2CB03muRaFHIv6saRM5HMEOGHN7e6+JomHddtkjwxRMHa5SlGZKIHi+RaNdLn99P1MxGgLb6km+b7svjvmRX0ovF1ME2Kp/SSa3EQvXGaWkdiHA7cUwnYTIo1IkkEDyVJ7wxhqlAKyYTuWIZyGfeGVfSrix2ogc+NC15/Tyvy7DJURQa+0BcCRCF28GCS5O4w4V+P4nlwhuH5CJsnhYleJ3Yi0i+VGVKXKQ+2UvUquA+s4Zus0FMU2XUAFBmjI07ihACFmIShgfPUXtyja8y9oh3jbLFeXdcGCR8RdR64nGJNPydB7GMqhRY36R0yvf+5wNwr2pl7dbfo1XBKG6FHCuTaZDJnBBl+3xTeuybYuHiQ4Nc12h6cYfxd/VTaynT+pBnffbNEr3ORHJKYuHGQEJDYaYKu45sD70oV10qB9m/PYwLeOQn3Q36KAy5mn+dg8GsrtN4RZfVUNzs/l2Dh/DBaGjafLRO+Mkw5CN4cyFUHM5eGaLnawD+RYvIDKnpVRr6mTLbLR9NleTo6/MjLRUon6iyd66ftxiTOBydwArQ2Ic+vInV4MXUd1jfp/laaylAHqy/owb2hs3ayQt+/joEZxnf3JKgqOz+skdnTDIqCFAmROiFCYGmVne8eZ+TTAwx9ucDYn/gZ+udZzvzaEtd98plCFag1TnJAo/nWNJKqQqlM/ow+Nt+aI/CfKomX9TL8oWlGPtTJwH8WcV6tEXAUuefGQVrv2Pre2vSexsKxtsdZZ52FLMvous5b3/pWrrrqKrtp1/8AdqbfxjHF/zjT3/l/xD8eJ9tuWkWtqT0iWx26R2zj63FxHVMVDyg5JzL3hsexpexTtIp6LZqHYzEpjgkKfrectFK55W1c9EddP3uK2N73PSKumzmlDc+icLYNh3gwOaYsCkutxkDX65lzU5XrlA81JYICKS2um9vdivdhkX3GLYKUatS31f1W3+ZQqzUJyW1brx6LDpMvbI3dOq4q6xhBL6piZfZXk9b72/IBLk0UCwMbz+0metNM/a2j6E7WA9iIBjGdW1nWo6g7tSBNluuFgqbfg+GxOgIvJ7bux6pzWD1N2KHl9gzZXhG0lf0S3qUqWkLYU51bo7SzlWS/uI/mXy+QOFsouoRvmaG8oxltTNgm8ewelDJUPGIsG7th8GsiI506pZng7dP1AK042IJr/yz5U7rFWFWJdJdQNAFwZEXXWkxYfa2wd9/fF6k0+bYCq64m1Pl18rvb8BxcqU9Fdk8zvoNrTL5eNBPr+/I4a+e1UwpKNB8Wc+CYXuPIX3UROQBNN4rMfLU9irqSYuHFbbTcZdFmrILpjfN78M2LOZl6iYOdn5wTgYuqsP4ckaVfPUen56eQ6lHxLehoKRGoJged+GcryFUT14H5owMlRWb55QM037qOtJZg5s0DdH/LkkPSjaPrXpoisLb5W/9eecUQ8Ts3WbhQfEcLcRj45JH6+WffNEDbLTnUZF4EGkDmnD78t0+Aw4HREkEqVFh8foz2a5bqwWV5RzP5NieloIwpQXCqwvpuB54Vk8j94jsipbNbtljYIHtSG747tmhORncL8kqCanccdWqZak8zq6d50UtFWq9fYeVzAXz/GSR4yzhHPjRA8IhE9IAoPF1+aT+SCZ4VHe9Uhmx/QKgXWd+15Pn9rO+RqTRXGPpyATmVx9wUO1WSooDXy8Z5bchVCB7JIE8viRqB5hCL5/kpnpZDe8RL99ePgMvJ4Q90MfTNFGtnhIn/5MhRNjr8qU52vm9OqAjNJiGTI3tapxjfZJLVc2N4VnSKYZnwSJ58u5vAreOsvGyQ5qvHMSsVDv/jIB03IOZdthS/VIXFV/XTesUIhz/bx97eecZ/sYPWOwuo+6eYfN8udnx1hrXndVH2iz4HTfdswsKKyNpvU/Q5/IlBhj80Qe7sHaS7VFpvXGPmpU10f28OM5WB1jil9gCuabFurh39BGBn+hsNx8Me1157LS984QsxTZNLL72U73znO/Z6sPD7+rq202/jmOJ/8qD4b6k9sOXUwpazaxXnFvpjKEWLYmIVHCoZ4ZxJScsRqKnRrIqx1TquVkNuHNNr4nyWs02Nx/h4hb2qKpxk2HKwc4Wt96pHd6w1mkVmNjXkJzAqxmNaQYKSLFBqF/PkmhcZy+TeaD2DXaMpPW5TrBr83rrTflTA4nJSNUqkTmomckQU7x4lLaoqIAvnPXF2mygAhq1djUf1SFiwOt22/2KFzTPEnHpWKrgOLWxd2ymc8mpLSMg8Ws51frgFQxNz6V4pomyK8ZZbA2gzosBXbw6xsXur+ZaWNQk+vFbfOZl+Yzc9/z4NwPKLe2j+zXrd2cMwhK49IFWr5HaESPaLaxfiEH/AIPig5ZAXilS74yyfJQKMjl+uYUoSuUFhK9daidnneYhZhaXZNpnQeIViVJwvcuOUoPDEIyR3i8/4J/OoU0sU9nbh3i92M9af34uhSsRvWcHwiHkp+kCbXEHVt2WwanUjtXn3eSi3Bljf40LNQWhC3L9c1FFnVzFjIbJ9Yt3k4wquTQNDk3AmqqIZGqDmDVz7ZrbWgxWw5U7vwXvftBjnA1P1dW/6xVxIqxv1MRQHm0WnWcDo70CZWKRwWh/uh2conNRdH7774RkSz+0jOSDTdlsJ51yCzG6hLOW/dZz0swcI3DOHGfYzeVmEHd9dw3A6kEtW0JHOiu+bqoDbzdhftBE6DMHJEnMXiPF1/TqPY3SBxPlC6nTjRJmuXxfItzoJPbCKuZlAsuZv/F399H9rkXJHGG1ihdWLeoj/ZpmxN7fQ/esiFZ9Ktl0lMFXGzOXRXQqq6kLNV3GMLpB6Zh9aRsd9ZBXy4nuz8NoBAtOiKRfFEtXBDqEGtrSGJFm21BwUTxB0O9dDU6L2YH2TzLk78N86TnWgg/nzveS7q+z66KIIajSNI+/pIvYQhA9lkPJl0X3Z48YMeCm2+XHdN07lhz5Ojizw8Dv3ACJYNP1epPVNVi8dJH7bKqYqU+gK4pm0AutCkUN/307flSYbJ2q03JlBHp9n5i+G6b56HSlXwkwkkVqaYD0B4SAbZzfjyBr4bzrCxkuGxfq9aVHQdXJ5Ni4dJnbDDOsXdhMaLaAcnkFSVUb+qYed7x0TlB1NI3N6J74jCaRCCQoFzFIZyefFzOe3gn5F5lfrX6+vI9vpbywcL3tcccUVXH755ZRKJS644AKuv/76Y3r9RoXt9Fuwnf7GQi4nnDmv1/t7f+Zxnf6aA+62GvrstJz3gni9xsc3raZFNX65ZDkTUtZyxrdlxWsqOFsvPKpI16J7SCXLed+uFFTvzmoVep4qsv/+R1a2Pl9z+rdl582g5VBZXOpy3IdWCzbq5zapdlka/Kl8ffyp08U1go9Yx2/roiv6D0ChM4B72ioAzBe2JD/dLqpGGYplVK849qjGYZK0lckvlEmeLvjKodu2Mv2wTTmoKppkAeS7/HVpTe+DWzz/evEuCPtZzqYZCVANi4y+Y3ZdFN/W7kWS6rsjuV1x1Jywl2OzQLHNi+eIuHfTbRXsxsW96C6ZilfYInjXLNlTO+p2cK2VkPStugQ00Swre4KYY7lk4MhWKIfEORODKpjUM/xN+3R8980e3Q/CMLbmIlvE9LlYPStKalDMZ/8VKeRShexQBPeyuLeKX8M1uszoO0UWPnJvkeDBJI717FEBpd7TgjK3RnlQ7AoYDpmlszQ8S0KLHaDqht5/mya/u53V0xwEpsR1HXkD/91CJ59MltIucS3ngRmhcNPRjLwk5lDvakFZ2iD5zC7RUdeqMaivCUMUBeNwCNrZUT0mvBghL/KCONf6C3aI5mvAxgkKhc4qPT+FufMVfLMS7d8drZ9z9SVDZDuh56dJim0+Fs9RqYR0hv9RrDWzVBKa8UMdOI6IoMnoiJPt9bN6mZjL/neKHgSrlwwQ//k4ZiyE6RQdu3Pdfvx3TIjA2+2qrxU96EGdWISqTvGUXlyPzJB61g42TpTpuLnIep9E/NpZVB1WLhUNqaL7cyyf5SV6qIL7/kn0/nbybW4cWZ3FczRKPWWG/++SmLNiCVxOjOYwlbAIUCb/VGLneydYfs0wLb9ZZ+k5MdQCxK+dYv5VvWCCK2kS/dlhJKeTxZf30Xb9KiPvjrLzyykSe8NkuiSkCrTelWfuQg/tvxHPIefMBosXt4EMbT+dE9KlQfF9GHtrKwOfGsOMR0THWwBFoTzYxsKzXfR+dVxk49vj4n3dYPUlQyRONOm4Saf4Fwmib0qJ+1IUwes3TVBk9MEu0js8lIISLTevI1V1SKWp9rejrqYxnSrMryB53Kxe3Ef8l5NW4y6ZwlmDqEUduWygHJwCSWLxjbuIPVLiphs/WF9e/5PfDhtPHo6nPe69917OOeccqtUqDz/8MHv37j3mY2g02Jx+Gw2JJ1rx/5gOf10/Xjj7RsRSoHFaGbW8cGqlonD6qzGrKLdovZ4rCcfc4RA/ytsUeGpSlJkzugDqBaKGJs7tmc4glauYDrWuEPJoykyN2+y/b150Ag77yHWJB6NzUwQc2516KZXbotO4NLTVbL0WwYgG64XI6nJSHFOrDXA5Cd4nsuj5XS149i0cPU2JDEYshGsxBw5lS2azVvgc9MByRjjnhSJmNAgeZz1IkjNFpLJed76DBzaPVi2qXSdfqo+rJhkqtflwrltFuT4PWIGWXNbJniacTt/Di1S6YigFYRfHSgY94kVvjQiu+/YstJXN9+7b1qcAUEMuKJbqOybFNp/Q8gfUXBXPvgVmXtdDsr+H6IjOyukKrjVI9XgIzOr4k1bzLKcDaTNd5927RpbA5UR3W8XNLvAumsgVqwg7IOOT5XrgaTaFkdYSVKJeEjuFc9d87SzNv0jjWeti5XSFyctCtN1WwTuZIjMgPHVHVodKlf7/SrP0zCD5qESoUAZJIn1uH4WosEXzz6fAobJ+ogvvsliTPT/eQEpm0duj9f4MZiTAyhkOmu+tkG9Wid2xsmWvlLCNc2r9qHUiL6+z/LIB4velkUyTlRf10PyTMfKn94LDgRn2W8XDW/mh3CmdyBUT9/55Kn2iv4EpS+TanXgDTrSReWK/mqC4pwvXyBKBe6G4U3Dz+6/MoixsMP5Xg/R/bgwUCf98hfivF6FQxDO7Qv99sugb4HaJ5lIAfh+OQ7NsXjSIXDEJ3T5LYGENLdWF65Hp+vicaQP8PkptAZzzacotlsNvvZ86tQW1YOBaKyLpBkZ7E3KuJHYtHA4CIwkK0Sja5CqFN7tYUjsxLyoh3wKxA2WqPge6E9z75zF6WlHGF5h/Sx/eSIHgjx2Eri1DocjuGza44ctnE79qBKngQ/JpaBMrDH0pgtnbLhqeyTLOVJTodWKuOr5zhMpwJ46lFOU9vRj/d53QpypsnNHE0NdTSItr+MJuVp7hpO/HFWbfZbDjb5bQY36UtTTlrghtP5sFp5NKVwz14DSm34PpUJArEqNf6CB0g4fofifKSpLFF3cS21ekHDBJn9uHc7OCZJpopSpjH/XT+4U8kRFQDs9QDO9k9qsanW+cR/K4MQY7UebWWL24j40zqgx9LS3W2dIqBHysvngAZ8ogOL6AvqON2fecQHDcJP6raSHNCUiqSmqHg9YfToPHA01RRv8hSM/XimQ7nEetU1u9p7FwPO1xxhln8LKXvYwf/OAHfPzjH+f73//+cRvLUw12pt/GMUUmI5xGv9//ex3/eFl+0yqUrQaFg1Xxi617R0Y4l441QesoW82DtFGL4291rM12iaxy8F7LUa5l+62Mcn44LopYAfe6eK8WALhGlo46tp693/5VsjL5R1FwLEe53C+cJN3ivbtnklvXt46pRn1k+sQY67Sabe/Xg4RKZSu7nKnRiJQtFZxHdyquwcq8r50mnOWmO1a2aFLZXL1RFk4NIyQCFnktWaf7PJras12vv1bEXIm4cU5afH63C9MaS+KUKMFxETBJxSpyrSDV6aTSac1XqSp0+2s/LI9VsFW7J1lm83xBLXImdZSSgWtKnHPzzGa0tM7S2WK+Br6xtHWuchlUtZ71NZ0O5MV1Vi/uAyA5ZNJ6l0G6S9xz5PDR8q3u/fNgmhhtQoVHXk9hhPxMvDrEwBetQlPTRO9sYvQd4hpdP1Jwz2dZeG6IzqutdaQqkCtgNAXRy8Jum+e00HR/isNv89J8m7h+tkOi0GKgJWV0l1hrA19f3toR2f4j7PFg+lxHFfsC4PViup2UW8T3z3nAWluWrCmVCgSsnZKoj1LESabTQWSkUN+JUidERn3+T/rpuHKK1NndVN2WbYcl2m+piLmpVCAaFmuxVrweDZPdGcZ/37z4/qQzJC7oJ3zdmDVMaydNkoXm++4OZp+vEhwV548eLLDwLDexfVWybSrxe1PIOSvoTKQoD4uAUpvbxEymBGdekli9ZICmezaQltbB70NvDqKML2B0i92rzA4/gUObLF4QIzRZxXv3JDgclOM+kjt9uCpOEgMyhTaDwJhcL9RuvjtN4gQ/0V+MQtDP0gvaCI+Wce2bYfIdA4TGTCL3rYFhinVmmrCwwuR7hun6VR71wHTdZFLQD5VqXaFp4v8MEr9fx3frKIUz+nGt5jFVGVORUadXaP9phn1f3INntYpSqKJNr1EYbsV9cJHV53fjWasiGYjg7MACld446oFpMSexMMmTYrhXK2gPjh+l7LX8pycQ3V9Arhioq2nKnWGqboVyUGHlGRJDHx9j6ZWDtNy2yebJYbJtEt0/XML0ulg9M0xgpsLS2Q76vrOEmUgy9jc7GfzMFIf/pY2dHxA7ICMf7WToX/PI89bzweGgtLMV58PTTP/FED1fG8WsVPnV5jfq8/NEfztsPLk43vZ4+OGHOfXUUzEMgxtuuIHzzz//uIyjUWBn+m00JKT/rkvtY6GW1a4enVWoZZxlt+XsZ62CXovLr4eEw1xz9mtUFzlfhqpB4EARyTCE85vN1wYH5QqZ0wXvNnzI0g23NPsrAYtTvV0m06kdVfRaa/iF5RRoa1kqEQ/saK5n92s6756RZUyfaGOvW467XKwgb2aFZnytUNflpNosHGl1xvqRrFRIPEvwpt2rwhl1latiTJWtbpr1zpqyxc+vOes5cc+BSaconlU0KFm7HpoDJBnTJwIqw6miZIqYQR+634U6vVWMWrNRpcvS/s+WMB3i/pyLKRZfLJywth9PI9U6H5cjVAIaroNWwCXLwhkql3Esp48OnmrBh2kKJ/9Rzr9pybJGbpwid1oXSKCt5tGjPpT1DJG7lkE3CDYJGlTqlGbkion/fkslqFxAsuQjpYy4XvzmRRLPaKHpIfDM5XFkhL1dI4voHTFRmFwLOLweDIcidmEkGdOlMvDVOapdceSCsEsp6mLoC1u0K6lqoBYh8YwWwnfMi6CxXBYBx/PE2vNsGBx5lxtlU6k382raV2XNVImO6HW1I3QDJInSUBvOQ3N1h510BtzOo+dSVVl6YTuGKhpP+ed1yufswH/npDiuVIagH9OtMfcCsY61DISPlJi7wI1nCUrPSwFNdP69ScUPqbO7KUZlEucWab/KQfO9oCWKwuGXZbErU66w+OoB2n46h5QvIOkh8b5FD6p11a05/LQ2QSqHGfKRbVcJH5TwLVfxPCQKmXuOiG66uZYWME0K3SFKYRXJiBHcvwFrm2TP2QHERbFuLIRSMZEqOuUTu5l4jcrw306AU0MqVTj8l2GGPyzG0P6DNMuX9uE1xHwkdvnxLlYwQxrd3xKZ+SMf2IGWlOj5odgxidy3IZ4Duk7rL+ZY/bKb7A/76fvGDOW+ONWwF3VigfxQH957Jpl/wzA7vjheX9+maSBZvOiRj7fT/jOFQL7En774Zu78TAuVPb247x1n+dXDtNy8TqE7CN3N/GaymYFfjlId6BDPMlnB/fAMxpUO4m9ZIT8YxbWcR55dRu9rwzG2KJ6PPg/ZoQj+iRzy+BySxy2oX4kUen87rVdPi4Ln2TXKAy2Uwg7yb04S/JyfrmtFX4iWK0eguYnoXauUL2zGTCRh3SA+s4jkcdO90URuVxNyKYqalzALRXa+d46ZNw8QO1Bl52eSML+CCSz/yQm0fO8QC+c56Rv3IJcRDbse9V1/wr8dNp5UHG97nHTSSbz97W/nS1/6Em9605u45557aG1tPa5jeirAzvTbOKZ4IsU/v5Xlr/0I1BxaKxAonLjVkruWjVRKFn+/UtOGFw4pUKeg1JtU1Xjd1nmXLxaOasv1Fve8XKY4aOnaW+dTikcX5NaCDXVufYujX+P9W+Msd1mO1OTqUcfUVYJqBbm1h6muk9/bWR+/uL6Jc6lWcCyys7MvCND186R4P2MFMJqjHszU9PezPd4t7r9hgG5QNUpQqaDKzvq1a1SZuecJG3X/1wJG1KoPaPMIjj6I4KdWm2DoZE8WdnBulutzPXFZiB0/EuPNdXrRMmJOnIeXtibPqR1d61B7JD2WUpPFna/9v25l2ZXF9boUaP2ztePcbhE8Whnx7Gmd+O63NOr9XkuOVDjoZiQgCryta29c0EP0xpn6+MxYSNCxajKqqgqmyfSbxE6DqULvt0TTr+VnhgCIjpSQqiZVjyL6GADTb+ql6ZGqkDutjVeSRI2FLKPKmhh/OMjMS5soxsR4en9WwrGR48j7vez8mJjX7M4oukMi2yHTfq0ICgvdIdyPzAr+dqGM4RUB3NQrQpSaqwQPqbT/YOqoGpbcjhC+A6K4OvFZk9URsSvWcZPOyukqpahO/5Wlo2sygGp/O7l2F1W3RPQucX096EFZEN1hje4W1k8O0nTvJumdYk5yLTLeJQP3WhltZA50Qzi/zm2UDkmi0teMY2qVkQ914plTaL1L7Bgsn+Gi/eYMK2f6MRVo/8UyR97RjCmb7PznaahWMTqbmb1YBMulncL2Xd9RMJwy3ju3lHvKJ3aTHHBhWLG7oUHLHWnk6SXyQ3G0IwuoOEBzUOlvJdvpQs0bOJMVtP0zrL9oEBC0Iv+dUySf0ycy4v88wcRf9hMZMfHOF9HGlgSf/Zoxinu7mTtfo/03Fdz3jpN5zhALL6rS/SPxDCr7ZNKvzhD4vp+1lxQY+MAmk58O0fFFB3JJZ/MEL/55QeFaO9VEzcn0f2mKxLe8hN6vsn5amKZfjJM6bwfBu2ahXGb10kGCEyXWTnZS9UD3l0egLc7GaREqXomW7x7a+g5Zf0uaA7NaxextR07mKPZGMVQJz4FFzHweyeXCLBaZfesw3T9YEt8xSxJ39YwAzd8fYeGNw3T8dAnT5UAqVSn2RHAkSyhTi5jVqriGrlM6dQdS1STXrqEUTZzJKjdf94G6nexC3sZCI9gjlUpxxhlnMDo6ypvf/Ga++c1vHrexHG/YhbwWbKe/sZDNiuy5z+f7HUduk+m0aCeGfyvzDKBY8pvFVnGuujqP5fDXutDWpTJrWv0WXUX3isx9KezAsyScgloAYMRD4pyWhGXNca51ny20iDFp6WpdatMxbxXH1TKW23SMTYsKJCXTR71nRgJ156nUZin1jK5s0S1qlA1JqhcN504R2WDvQwv17rSH3y6c36Gvb9bPkxgU5/AtWKoicDRPXnMIJ7NUJndOPwD+qWx93tL9WzYK37O85fj63PUi6Gq7kBytelRc2x35bX0RlGVrXqysdM0Z33xuD5Gbprc+U9vV0bQtWtb48lE1F4/ZCG17MFjj+0uSeP2xeKdOp9jVsLBySR/Nv5ypd2quumU8y6UtCdW59aPPs41WBKKrrpbS8YyubR2nG6yf34VsDWdzl0Tz/Tr+QxvkBq3gL1EWRak12dnmKPrqKmY0hGMjW7+cGQmhB931omLXWgF5cZ3FV/aRa7NuaQMKrSamYuLcEONyJqDljhTyapLD7+9k6BtJAOYujuBbMIncOMXE2/vo/ckWRaZWLJo6IYQja6ClrKL3isHc87203C0aYbkfntma5+120Q30XjEoZT0Nmawo/NU0ESjpRr2w1Aj7KMXcuCc26s3BAKqDYn0rR2ahtUlQlAxzq+GWw1FX3JJLVXGO0TXxvdMNVi7uxpUw8E3lUGaXmXyHKMDt+/I4Ky/up/nmZbETYvUUSJ/bh/9IguVnRYkeLKIdFOpYq5cOkomWaLs1j3t8DbM5SrHNT2JQo+37ooEUbpdwfhWlvh7mvxaj/W+qSIUSud3NePevCJUfTWP87d30f3ZUBIuaAzOTRXK5IOATDnOhWC+Wzp8mAkn3PeP1uZl/0zCd/zkGDgeFE9txLYkOzdLKBunz+vG8Yx71LRpG0EO+w4ukm3jHNjFX1jH6O1FmljArj6IjKjKSxyMalr2mn7Z/P1i/nhSPid3Bqi4Kb63j088dInBwExwKpc/kyF7RjlwF9xsWmXuojcFPC7nPSn8rjsNbjQGn3zJA1zVJ5GQGIxak0ObBc+sRkCQyzx3Cs1wCw0RdS0OxxLVzn6+P5Yn8dth48tEo9rj55pt57nOfSzgcZmlpCef2xMHTCDa9x0ZD4veNMS/qe58oIgyILHiNMgKgZCwde0ty010Qzn9+h3CmnEcE57juRPrEOfSgVbQpSRgWn74cciCZ1KkYNWzv4AqiSy2ANrtJ8gyR9XcmdHSngpav6fcLZ7DaKsahLm3WqT9S7b6tfgKJU2L45sR9FJvEQ8r/wAJGLIgRDdQ76mKaW06tVSjsPbi6pRpkyYHu/OwSpd4Y5bgfR9rqReDQCE6K+xj9K0EF6v9uqn5vUtVA9wlHMnA4UZ/T7Kkd+A6uEb43t0UHqjnsCGpVjS6V7nPjXSqL+/N5WH+GCD5ityyCoaMsl60MvaAYGRFffUcjctP01r3pej3bXuqPY8oS2XYH9PUQnCjiGLcCiloRstWESl5LbNVWlMoYrVHkpQ0xb7r+W9n+9B5LKnI0KQqbTZPmaya3JCtbhL0cGRX3ouV4+zxC8rQmmVkoiON9XkbfGrfmWmFw1UvVmk8lXyV2+zKVthBTl7gAk41dCpIRZfEcca3ApIeWMVkEgA5V9GVwqJgOUcRaK7yWKlXU2VWq/nYynQ5ybX48rR7arl1h5K9ihPdZHYXvFmoqpiqjjVldeKNBNp/dxc5/mmLhsj7af7VK19WrkMkx8uEuOn6lM/e8IKFxMU9D38hQ6PATGM0gJ3MYYV+9sLv3iiXhlEoSelcL5YhYt/kWB5H7NoQ8qlkWjmVzVNQUZMQcGrEQqDLyRkY4taUScqGIe35LnhG3C7J51PWscModDpInRgjdsCHkLQsl8jvjuFbz9bqC4p5uwa93qELbX5ZoekDw7JWZJUxdp+8LW1r2zdcvcOSjEXr+Pcz0CzW8cxKhSR3D6yR5WpnWH86BYTL3xiEAuq7ZRPe5wOFg9pIokcM64dGyCBw1B0bQgzwrHPXVS/sJzJTpeKsIGvTuZhIDKhVPK8Hrj1A8qRtTMVl++SDx+8ROwtzlw3RdPE3mcxEkE0wJfLeOgg6e+6dEzYkVBEiqSjFuMvbefoKjEoGZMgP/NsH+D+3BvbRO4JFVSh9rpniCinshj65JrO9V6JuQkRQFZXYZZJnZf2tHuT1I+7cOiu641Srlvjja5Cqtt6ZEbYHDgbm6zsh7YmgbCju+LFR1JKfG4qv68S4aTL06Rt8VK6h/FyFczSIfmWWh6QQGvzsGwQAkUyj5CnjcrF7QSdOPDtL95RGm/3KYwHQQXZNoujdB63U6S3/eiSlL7PzCIcazMXiDcrQyGr//b4eNY4NGscd5551He3s7CwsLfPazn+WDH/zg7/7Q0xh2pt/GMcXvuyV40cD7AahazbVqDa5qMpw1x7FGTzCdwiGT14WjZIQsbrPlU9aytrpPOCqSRUupU3serT0vy/Vsdbk9dNRnqtYOgXPZKkatBQgOBSlpqdtYzn69SNSSspQq+pY05UKCaos4t1rL7NboMlUd022NtVbPUCvOZatYNtfrr+9S1HYfPPO5uixp7VrFqEYxbCkQWYXJhiphWkFDYDz9mM3Hqp1NKFYWuBLx4Fi1uhTnC6TOEJlxU4HAiLCrvJ4UH6x1da3NaVXfCsIqVao9ophZyRSRap/ZhsKeTlZOcxC0ZCfDv5k+qih57QUiC9p00/xRtJ7VCzuJ/2Kyfpy4iNWIrCsuAjEL2b2tQnYTwOMme0ITknXrpYCCd7mMc8YKvqwsdZ2WlcoJJzWXZ+aNYiwtd5XIdmp4l8Q8prs1ovsyKIvimvkT28i1qcTu2qjv+BT2CPqWe98cZjRIVS8hJTKknjeIWhCDCd46yehn23EecNdrRUwVWu8ooa3n2DglTOw2KygqVygNtVCIOdDSws7Zdgcbew1CIzItt2118s2f3E2+WSXfIlGKmKhWXUzPTzaE8lM8xNrpIbSsGId/uiCcbYeD5LnCSXOviXtVc1XxnmliRsNbDbQAMllG/qEX37hKx3UJNk4OEbthpk6RMpujQh0oHIREitwzelnfrdL978KOR/66l6HPzXH4vR0MfidLesAn5ETvXxeFr1ZfDWk9iVmpIIWCkMqALImOswiVmO3Sr6kzOii9aZPEWITYAxLRe9cgkcK0drMqu3tRs2UqptUArDvC/IsMWq9X0DWJ6K2L5HY3szmkEttXxv3AFJPvHKLlngqe+6eYfssgsQPi2qunKPR94QjZc3bgu2tSUK6qBiP/J8rwJxZZO7+DUkii47vj4HZjptOsvGoY/3wV773Tgm9f658hS+TO7MMzk6HQJhIIyX4HhfOyhK7xEr13jcP/N8DOv09CIiWajqULFHZEcT80zcyfDdB6d1HUOpXKVIc6UQ5NI8UiW70Mqrqg3TRFMTcTZJ81iP+BBcx0FklRGP3gIIOf2epFIa0n65Kq5eFOpt9qoldkhv9uldULO6l6oPWKESSnEzNfoHT6AEpJpxxyMHOpSctvVCLXjTP6+Xb2dCyy9ule/PtXMYIefn3/R+rf10agk9jYQiPZ4zvf+Q5veMMb0DSN22+/ndNPP/14D+mYw87022hI/D6tu2tc/tJQW/01uaaxXzla5aaWoZXXktb/Ww5eUDiciiXfaViOge5SqVra7d6HBL+6rn5T6ypb6xRbcyYsqb8ab989Lgr4TK+LzZNC4rU1cR13zcnI1JpdVUSWDsjtFffj3W8VwpoG6qzg2Bd2iQIk95EV4SwrMutnCupM03VH6+IDGF4NDBP3cpFcu3D2ZR18D4h7WrlYZPbDo0XSPVYhatKiIaWrrJ0kqFJNt5ao+jVK3VHkqlHvRkypDF43aiJXD6h0l0Jlh7jfxWdGGfimoE0lTmuq78QY8dDWTsK2Lr1iAFYQUKmS6ndb8+bAs1mjPMkiw+h14VrK0n3NloRqub8FbXoN0wrmsl0SHTfmqXRGMRxKXSXIkTMwQwEkq6Or3tlMOeLEPbEhKAM1fXnAd98s2TO665r5vkeW6uopHiBxUgTneMWyh5PMcBSlaOBMlMDnohRx4p5V6P7eApmTWigHVZxJneUzNNpvyRM+XEUuVsmf2IZnYhPPxCa6KyYaoFkBSa2RVfrsHtyrJXRdRfa6yDVLhMcMqh6ZxPk7GPjHDTbOcBG7YYalS3sAWD3FSXDaQbZDImatO6M5jPPQAlo0yOibIwx9agb3tI+mO2DjGdF6PQsOB54Di3imPSRPirIWlik1GcQekNg4NULs+jSmohAeLYqmX0mxnlcv6Sd+3Swbu2R8C4JC5loH0Aj7ukQDq8kVfAsRcsNNopO0pqEmVLxLJrneAMmL87g3OvDeOwW6gbS4JmhqlSr4vHjGk0g7Y5QHWlFTJaJD66x/xU3fv5RZPC9AaFJn5TSZyE1Zql1xinEni+cq7PiR1VV6fB4pFBQ0tLXEVn1L0C8K2GtSt3cbxJo15Nlljny2k6G/N5GSKUxdR5taZeGlXWRjRXZ8YQr/QoqdE1GqASeOEUGV8z5YYWO4B9ecmNO+/1yCTJbUs/sJHzHw3TfL6kW99P3bHPg8eKfSLL98kMBMhZlXmXRdZWJmssTuTzL2uhCHP9XBwJeqZM5speWXcyLIV1Wm/qSN3u8u1r9L3nunMVpi5NpUJEPUIHR9UUF3VSh2hTBzMmSyVAc7UFfTHHl7C4MfO0zx1B1UvaCNzAs9flkSzbPcLsz1TSSnxthf9RM5aFL1SCR2Gez8hxRK0aDS3YRcCCOPz9F8jxVkV3Wx65cvIPl9mJks2oEZBt/vAkXGTKaJ/2aZzO4mNl+4E8mE8DWHABh/rcbwZ9YZvk3syhVPHyD6SwcrxT6Cd01awePRtJHf57fDxrFDI9njda97HT/5yU+4+uqrecUrXsEDDzxALBY73sNqSNiZfhvHFL9PduCirncDW7z6mkNZo+DUstiFbvG+a1FkwaSilam2nLpqm9WB1XLaqx4rQ29RHyq9gprhWLCyubVizlo2t1zjZ+sYYd9R165Ri2qdf02/yKijKJSaLU3+xfRRx5b7BS0o36IRusPi2G/LhheGLcd/n/VewIdhFevWM+iqUi8MrsuBpvK/VQy8/OIeWq4WmdLUuT0AeJZL6JZy0Noecd7wg2mqLpnggrivfLdwqr0Pztd506WIhvewCHSyu2KoeeGwmsoW1359t0Z4XIzLd3ijrstPpXLUzkF+r+BrFyMqkZunxYvbOftW8aaasihc5epWN2GoO7xaxkQtmqgFMRbPbIal8wTlx7tioKWquA9bBaeVqlD2AaSqKYpprZoJ0+vEdDqYe4HYOfEumiSGxccGPie08Y2YeC/T50d3SchVE6UkxptrVigHoOvH4lqJM5pZfn6Zzh+rlP3CScvHJULjVRFUwBZtwbpnvauF9VP8SAYEHhY7TxvnRmn/+TJGwE2+U6w93wPzIEtkTm0nH7cC16UqctnEc2Bxa2ej1vm4UkFvj7J4nrBp55UzgvKk6+D3Cb49iKZaYR9H3umi6ypZ1IoAaA5yJ8SRKib5ZpXI/nTdJlKxQrkjxPSLnLiXJBTrlpQSbJ5dZvgf18meGMd3ZJP0ieLH1zuXoxRx4Tm8KtZxKn2U9n9drtPjgVKJpcsGiT2Sx7GcRrccQKmiCwWujQQ4HOT3dpDpdBAeLaIdmtuqlSmV2HzRTgJTRZR0iUKXD+/BVfSmAMrCRr1GZ+MkP/GfjTH59gGUEnhWTJqunQJdR+9pwdxMYnidaIvJ+u5d5hnduNZLOEbmWPyTIdr+y+LolytUdnWhbubEborDwcyXIii3Bmm9PVOn+MlZsbbH/8FL7MdusY7zOq4Hp1h8zRBt1y4x9pYWBr48z8Z5HUSvm6A81I4jUagHSCvP7yJw2QJN7hz7rx9k94WjjF8xSMuPx0idt4OKTzyX1k43aLpPFo2+JJnJdw0JGdFrR1l5+RDxH40gSTJHvtBF/xd0pGKVpWeHUIsQeyCDsrCG3tmEMrFI5r8CqJ+K4n54BrNcIfX8nbj+fBHXWxVIpjFLJZKXnEj4ujHM2o6pooBpIkXDmF4X0vI6RkeciVcH8c5JtNyRRJoSij/V7jhqIo+5vIbUHOPw/w0w9Sd/U18fjZRZttF49kilUpx++umMjY1x6aWXcvXVVx/vIR1T2Jl+Gw2J3xVjPv+0j0CtiLbGa69l9R+l2uM+VNOl39KsB9Ct4tKas1/LhDsTRxewOSa3NS5yauDUKPaKz7omhZNrWM687rboOhZnW6up5ADlbuHUaLPC4XbVKD41qo6qgG6gTayAz4O2gggWJMmSLRR8d3dd/184bGTzSBYtCEUW56vqlKyurJrVi4BKhVJUZO7dy+LYll/MUjxRONjBexfqwYVsSZk6kxpazqAYVvAuleu0p7JfIXzvCrhdLD/Dg8Pytw1HE/5DG/iObFKNiKBGnV2r28bT3FUv+qxLoCICNzlbqz/I1xuIGad2bHXjDfuZerlVj5EQTrvLqrlwHVoQWvddIgBpvXqqXk8gJTLk94h7lDZSSGYYuQzFkEzwjoWjipa9+5a2iqNNsy4XKaWqbD63i/gDYuzFiEL7b3TkiknxhA5WTtNoua9Eukt8tuKV0DKQ7pIJzBi4EgYVryU5apqE717CtR7DlA28abHevEuwscuJb5+8ReeaXa13JFYW1oiXq6yfGqIYd1JxS3hWDBZe1IIzYbJ2ukHsAZnChV00XTeD/55Z/B53XY3IDPupdjWR6nfjXbS+A24Z12qR8Vd5QTYIHZJZubib4GXzuF5XJj8Yw/NAVjhlhSKSU8M5HUCqCsnatZPE/Pd9fZrCie2k+iXSfUHKIbGmm+6X2NgLnkUJXQPJgHyrmO/hj21CuUKuRcV3d4rAPYU6bc6z4gJNI3lKE0qpSciFQp1WA4jCWEnGP6/jODJPaU83zpFFYbOg5WAYJmgauRaV4FQZ3z8sUHhfC8qM+E5LDgdaxqAccrD4DoOOfzcpdUdJ92hEKzrrp/hpvnEJR95H4oJ++v5TNLjKt7nrwb/hVCGbo9gXwjG3AbpO9rxBHDkd3a3iCPoJHy6TviJA4I150BxMvMLJ0DcLYkdJ18ltePA5QFnaYOIveggdMYnekWXjnFa6vlwCyqzvddH23XEI+ml6pMDG2S24lyWKA80kByUC0+2snOHGP+8klC+RH4jhzBg4P+hnencbvdeOk/miTosyytJlgySHdfquqqBt5Ilds4qp6xiDgkbW91Ux32N/PcTA1xcxO1owFImhv5pn9HMdxH/qof2aRRZf2IbudaDoOvKRWUqn9eO7bAJJSYtdmVKZ0O2zpKtdqE0FlNV1UFUhv+rzUO3sRH1kAikaJj8Qw33XKEasC8XhQJpapP+fFre+i4aBmRfUMbNcYeYvd9F2W5Ghd07Cn7C1Lv6485NPOTSaPYLBID/60Y/Yu3cvP/vZz9jY2CAajR7vYTUc7Ey/jWOKfF44hB6P5zHfv6j3PcA2R7rW3MmC6d9q+V3riFvbEUgPCmfQPyWukesQ1/DOW1Qbi9cvL2/WOfw1LfpKTJy3Vjvgmk0CW8W/NcUgSTcpB8VnPaMiMMjtEsWh3n2W017b9ixvy3LXApZaZlNVqXSIzHQ5LBxK76G1owMFoNwWZPkZYgxd35s+6j0q1a2dAlmm1CnO51y0lFByhbq6j1lzsD1anX6T7Q+iV4UzVmpx12VBnWkxhlJQxrdo0aMUCd+EOG+uL4h3cqu7r7SdnlOrP3C76kWzjpwhmjVZx9f59y/opukuMYeFziCJnWJew4crVL0Kgbu2aE2TbxG8+b6vTdZfQ5aZe3UPHddbRcilCrMvFsFBaNIQn6/Pv7KlrONxC+rEthoDJImq1bit0OrCvVKqF4wXW31oyRKGZmWRVRk1UazvQFXCTnSnjPeB2a2xKYqglVj9EPB5Md0asy8WP0Ld351DbwmjTC/Xg5+NC3qpyBU29uoE54Td8q0makGi72tWsy9dP1pWsTanpllvcJTp0AgdEdddPstLKQzlJh3/mBhvodlk4Bsrwj6ShG9c2C+xN8j684uoU27KHWUid9UCHQg8f5nljSB6QSVyj7BT0wNp1k8KYGjgXjPIx2Var7KUZrarLbldVLpiOEYXtl6TJA7/7Q48CzJd3x5n4dX9FKOw4/NW0a0sUR7uRDs4i9kSRUrlKOxqZf45GgOfFY28xt7bT+epC+ifa8H74Bxrz+8hdn8CqgaSFRCNvb2DjhsrrO3VyO2o0nS3IuhQ+3XcC3mU2WU2ni+Uq9zrVbREmVynm+CDK6w+p5XoLQtUmnw4Dy8KhZ5asLVthwKnRvGEdpzzaQy/k409fmL3JVk+L0TbNQuYfjfS4hpmWxO53gDuxQKZfi+epTLaoVnwWs80RabaFGDzRC+xB1MkhwNE7lpi4k1tlLtKhO510vJfIjNv6roowgXM3FaQjSyJxmaag8SzewjfIBpvZc/qw3f7OCgyY+8ZYOBLM5jWs1gKBSGbI/ncHTiyhmhut2+WI+/fQewRiPz0EGuvOIHUoIl7RaLj20dAkcmf0kOm00Hzj48cldk/+9YVbnnXWWijS4L643Fj5vIkX7iL0C8OIbmcmLXdLqv3hjHUhfIvG6S/2IX/hhFQZH61/nW243f9dtg4tmhUe3R1dTE3N8eNN97Ic5/73OM9nGMGO9NvoyFR3ZbReyzUaDKOpFW0alEWTEvmT0qL7LYZ9mOGfJiKAroJikRgNEPVp6E7FQxNQUtVcaTFj0umT/ywBkYzGM3h+i6ClBBZvUqPoHBoqQpSxaAa9mJYVBipKrTj5aJwGj37rEDEkhKtOoXTVumKCbUKrIJiRT46uwxb1I5qlWLMif/hZRzzbMl81jT9e6Jos5to8wm6LClQMxJASmW3nD6HKrj3Fmo7G1SqmD43OB31wuLkOR0ED6WhatS7GDs3K+T8Bhu7FBQndF4vgqj1k70oRRO5bKJrcr0A2FBD5FrEvx1pMZ+lsIpaErZxLedJDot/u1crBPYLh77cFtxm4C1nKX7dbD34Wj7TgXcJQqPW/Egc5ZT3XJNGTuVFUWMuj9EqnOe2WzJIOWut6AbN95fIt2roTkkU7s6vo1s0L2U9I+a/UCS/p4NySMFvdQYutrpxbpSRyjqeuTyrz/DT8hvxozZ9iYpzU6P3hxusn24pM7VqVN0SvgWxnrWkpVJUCywMY6tBlSxDscTm2S24zt4gsy/K+Fs7aXrIILjgEPzlkI/Igxvk4hrrp0m412v9JiSa704d3XegNo8Oh8ig19ZDpYLz0ALOI0o9yIztd+BcSqMHPYz9qRP/qIJ7ScJ0OfCPp1k/LQT9AbxzOUKHs5SCflK7dLQ5DdeGQb5ZRimB+6NBvKe6cWTBlTAwHJAe8BH/+bgIcCSJYLVqqSZtKfIUTunFfWABx3yC+dcO0HZzUrynyuz85Bx6SwSjvYnm+/KUopoYdyQk1thGTsh0pnKU++Kk+jR0jwGaxsZzuogcAPPGOJWwjNESwVEwWfhHmcjX/HiOlNk8u5WmB01KYRW5Cr1XGbhGFgh1xpB0A8kwMJvCRO9YotocpBh3UWx2UQrKZHbHabpjnUN/Hib2kERE7kY9NAOZLCuvGqblZitA30xCqYyaqSBtJDjynh52fVA4xa3fXWLhdcO0X3EE0zTQP5/F+7JlJEUhOGkw+e5hwh0DRG6exiyKNawkknjiA1R9GolLc+Ra2tjxnRXMjU3oaGHh9cO03plBHp3DLBSonNiD48A0kqpiRsNIGwmhqx+PELr2sHhGedwsnanQf4ugdg18aQY0B3OvHabr30eZfH0bzgS03poUEsXVKlR1hj4+yuG/GyB6S4D4zYvkW9rqDr9ZKqMWdZp/PCkCkGAA05JnveWdZ+F4eAJTkhj9f8P0/aRAus+NZEDhrEHK794k+OqycPQnFzF1HWVikcTXBwn/xqJKhbc9Myz8rt8OG8cWjWiP9fV15uYEPfaEE044zqNpTNhOv42GwUUd70JCqKyAJXnpUEXBmOXs4xYOa60jr2k1klo/WfxIhMbFj2fN2Zcz4u/Qvdbxbk1w9T3uLU511IdrrUi+1U0xqtWdZ6cVENT00R1Z8ZDTdzSTGBYOf+RgHs9yEd2lojuVerGvlhRfLT3sQUnkQZIwVUuasVJl7M2C3798lijuHfiK2O5eeWEnzb+YRhtbJnO62JL3j2zU1X/qVKea2pAk1wMGbXpN/GBuy74nz+0k3W0pHxUtvv5srq5ytPL8JnwLJopmUow7ReZ3Uce9XKDYZM21Ia6Z6pXRLObS6qnO+r+dKYPQA6IgOTCpUmxyorsVqjEfhWZxDvpbhOY+bDmpugGGcFr7vjEt3gr5KMf9KEWD3J5WwS+XZTK9PnzTYhxKpUJ6wE/oLrF7MHF5Fzu+Zn1elfBP5sn0usn0upE7O+u8f6eqoM6ukT1FqA5t7JKpuC2+/GJVZPZrdKUVg4Xnx2i9NcPwF6yGZvkCTbdVtlSUavUVtZ0XTQNDP0pqUO+Ki2w+4J8por0tS6xNE2sCtgID67qZDo2dn5gjc14/3gVxHkNTkaJBwROvBZHl8laDMFneorhVqxRP6MC1bwYkCdf+WcrDHWhHFhm4ooXETjebu2H0zRG0TQnfvEkpIBHYzLHy3BaUEoQOKLg2DSQT1IJJ06/E3EbcYt5cc2kOvy/I8IcXt2gsp3ZiKBL+/atCbtPavai6ZeZf2UPHtatkhqvI/7W+Ffi5nChrSfSWMOt7PCROruLdOUBo0qjvPshNUVhPsPAsN755k51fFoFk9LZFsnua0V0yod8IydX0BUEq+0OUQgaeTBZDhchdK6w8t1UEKyNL4HJSijpJDKp0/EBku01ALZXxTVYpXOHGD1S/3AIydF6nk+x3sNTpplPUoNJyzYwITsoVsuf2471tFHVsHsJBdn1iQwQqbg+Sy0n7L1dYf9EgsZ+PMrkSY0DOMfLJXna+b4LOG4tiZ9HvhWKRw/84yPCnV3Ctlkju9BD8JcR+s8D857x0vDtAvt1H221pymEXLkWhfGI32oEZJt81jDMJ6QGd4Y+mqezqZP1EF21La5T7W5g/383Af6xCKAiGjh4Pk+310vW9GYon9dD35THMshAcMDpbOfJ2H8P/soYe8zP04cNkzxvEd98sgRkTVAWzVEbSHBiqzOw3W+CuIF3fOsL0u0+g6aEqjoxO4axB3PeO03GzjlwxiPz0EEgSufMGWTkUJ8gG8qEpCAbIPKOTzZ0y3T/bxOhoRppZZPq1Ldiw8URgmiZ/+7d/C8CJJ55Ic3PzcR5RY8J2+m0cU/y3Ff+WM1COCsqKWuv1VKPiWJr9GAZY3R3lTJFSR4jgZKkuqammhLNkOhQMr5Nq0OLhL1team073AoglDXhYFQGrALcpMjWVrwquVbxFfEtVNA1GUMTzkzkoDiHY04UXuqD4gEjl3VKMSeVXU14R9ZRNre6t0qVLSWbyCFxr5H7N+o0pdUXCM1xIxYS1xxPUugIkO8NUwpbhZsL7vr9ybkiqAqGRXmSVxJbwYAsMfVGUbzacrfYDVBKBpkuJ+VdfqJ3C/qDZ8Mk2S8TnTGpemSWzhPj6vy1G9eqcG6z7V7KfpBM8C9USfapyBXQHeBbEnOe3i3oWIWYQtZqIrzjihzrzxNj88+4iE1YAYskYYa2lDnq9CBE0bNqUa6qPoWVi7rxz1dw5HTSA17UogmdHpbOhVJI3N+Ob82JbHkshHMlx/K5YRw5cR+ZLom2WwrMXuQFVHyz3ThTYszxB3XKfhnffHlrHFbtRPCuFMG7wAz4qMas5m8lF/LyJsuXCqqR7oTW29KCLradzrKtPX2NvlOrr8DnwVRkit1h0czMITL9sy+OoubBqJSodjYRvnWWakesXrxuOh2i7X2tENeax83n9RO5cQq9NcrkK8U44/eZuKzse63mQVMUcm0uYvdsEBrzUmgS34nNYYXWO0sYQY/oV2DtqCX3RgncPVvvd1Da1Sm6QU+sMP+KLoY/NM7qi/pFph+YudQkdreK36EK6otDIX2WUJCKHK5QbvYz+K0Chb1dZDo1HAWTsl8iflcCuVCh+fYN4ncpmC6VyZf68I+ZzD0/TNd3p8Cp0fvNSVZe1FeX1ZQUBbli4l7IYjZHOfwXAXqurpCPq5RCMhgmsetnQFWI37nO3MUxZl/TjXfZJHrnMuu7W1l5YTdN96eRphagWMI0DfLf2UFoNIezmsN0abgfmMLziIpqKJT29uHcNy1qDlQVIiHUdy4x+qydDH16hlJnGOdcAmOgs74WlJkVYr9MYbZE6fmKRHlvH63XqUiqija6yMJlfYTcETxrGwRHFCEYIEsEJ4rIpSrVlhAt/wxjf9HGwFcW0WMBXONrHPl/AzjXZXqmPeguiD9QwL3mQu9sQltI0XZkEXxetMUUfd9YZeWibqL7c6hj80y+okvw+bM5nA9MMPWOYVruKaO7ZPJxleG/nwKPG2V8AbOzBddqCaMtRnAsBy4n02/pp/drYzjvG6PzjYAxC5pG/IEq3rsmKJ7Si3sxK+Q/JZAPzyA5NcxqlflXVmm+Vql/Xzae20XkZyPI1SF0vwtTkVBNk54vHIKPcBQaSS3GRuPZ49Of/jRf/7qghD3/+c8/zqNpXNicfhvHFI9X8f+C3SJCNyyHr66fX2u8xDYJTUs33vRaOvYp4TSX+4Xjrday/LVCYMu5r8aEQ6POrAiaCNTpNMUBweeuOfWqldVXiuLvktWIyL0gdhzyXeJcWqpSLwg2rcZbRuBR91ArwoWjMrJHcbKB8g4xfkk30F3iOOeKuF4l6kGbT4rjazQPwyS/09oVKYj7mH2+C79FhW++SYyr2B1GzVq7Flb9gOfQMpvP7EAvF/EulNDj4n7KPpnQiLjm5h5fXSveP2MFAF0u5LJ4TTKF1j+AXDFRipYkaK5KplvMgW+2uFWzMJWuS3CiKltZ61oQVqPz6Ab53WIHJNXrwLO6RWtxbYgCRQApnceIWA758mZ9Hhdf2oNn3cCZEHOS7nYQe1AEfMvn+jEUIXMIED0oVHVMi6ol5QsgbRXcGi6FpbNcRA5bXZ5lCS1dRSnU1oWGUjJJ94i1qZRMAlMltNHFOgVJ1JCo9VqPkQ9HcY86ab5f2MQ9IoqME6fHqVbEPDfdsQyag6UXdm4FUVcmWXtGiKYH0oy/Wtir9U6DdLeCXIbksEHvz8S4XAfmj1bzqUGSMGMhDv+1n+GPJQFYeGEz8fvzKIUq8pxV3K5pYjdBUcQft6veEbsccePaPwt+H9V4gI0TrV4QEQhNGHiWijhGF9C7Wph8hd+aF2i7rUyhSaX8JwmMa6MoRWi6L1GnoJl+j5DY9PsodUXIdmg4cgaBB60dokxWBE0Zy6GUZSbf1kf4iEliSNi+71/H6kXBkiQz89YhogeqJPtVPKsmkTtFJkGP+Bl9p8bOT+dhfnlrejwe9JYIpWY3nrsnRMfqcBA1VWDkMz003axRCkq0fftQXblr7T+biL+zDKkM1YEOkfV3OTGusJrZvTzP6suHif/wEJLbRfJZPagFE7lkMHOJTMsdMuEH1kic2oRcNtnYLdP3hSOkn9WPZ7nE6mke1ByEJsTa0GY3QdfJD7dgOiSkion7blHnQEczqRPCpHbIdH/tCJXhThwjc2xeNEj4kQTSepLFV/QRGSnjvH8cc0eHaMIW8mKqMoamUA46mH2FwfB7p0QQ6FApdobQNvJiLes6RnsT8uwK+TP6cN85Wl9byBJjX+qh5+sScklHOTIrAiRNo9LThGMlg7m6zthX+hj4i636HKkpCukMZqlMdXcvjsUk145/ku1oNLWYpzsazR6f+MQn6o25JiYm6OvrO84jOrawOf02GhLStizodlSsbKq2kBQvaI6j3q9L9ukmpktDXt5ESm4Vyq68UGRf43cJR7vuXFqOeMVyatO9LhjsJXqTVXRpFbpKVUvRx5L9TPcIByd6mzif6o6iTVk0D03De2Sjfm3DohjVIKeL9ex9LeCoByyFLQ4+lnOy+JJu2n42iza1ihkQmfFyr6ArVUNudEvJptboqxL1UPGJr27R2gFwr4EjW6H7l3mMWvdi06wX05ZC4vjgw6voES96cwhnSscxa8mdenVMRcJdNOoNzRw5E++CcDQSO92oFqtFy1TrXX+znR7ca+LfuTaNfLMMOGi9NYVsBWdKySP49AhlpUpABFDOpTT53hAQxfvgnCiotcZtqpIoHl7UQRKdSgEcyQK5HmFL3wMpEdhtd2pVhbZr5kie1Q6mScWn4F7XKUdduGZTtP26hB50Y7iUuiwoulFvloXTiel1IhcqZAbFj1n0YBXJgOQOMYexfSamIuNIFFDTJZbOCxOcEUWgIAKDxLN76kMyTgigZQxMGbIdCsEHILm7wpLmoOfqJEY0wMSrg0T3Q+iBhNDxlzWo6riSJuWAhCMPy88KERkpU4y76f+vNNleP6YskR7UCR1Q8E/JVKweFC7DELsILifk8pghqxdFqczmKVEid0nMXyKCzI4fL1AYitd3rcQCtGoUfF7K7UG0uQSmKlOx+l9kzu7Ff+cUai5P8/RWLUN5qJ2V0z10TCgoi+v0f7tEam8E90rFWkcy6m1RNAMqPpCW1+uXlIolSru7cI4skmvXkEyxcxQoleqBx/SfdtLz9VER0Pi89H17ETJZwr/eWgOSw4FZqZA7awfd3xgFWcb3iJPZyzqpPreN+O1rKNkivVc4mb8wTNMjXuSqQcWv4l7MM/lyPwNfmsZsicLikpAWlTU8h50kB8FUzHrBrGkaPKN5hvvPOQVXMi7oaG4XqbM6Cb5lDcPjBCNH/IeHxLouFAndPocZ9CIlMoR7epErBugGyxdW8B3QKLZWKe3pwf+bUYqn99N21TQzr+sh/vN5+L4Kf+4GScIztg7JNPqONiRFoXBaH+6HpgmtbOCfbmPi3UPs+NwRiITwLpSRVjeZf20/HT+ew4gGxD2UKuSGm3CtFlBSBZR0lrm39DL8oSmWXzlEy68WMNc2cMoyq+fGKDaFcG5CMQbdV+t4HpgGr4f83g4KMZXQaI6Bt0+Rfc4Q3hnx/T/h1xsceE4Ax7oHsuK52HKVE2NnN4UWN757ZzA3E/Wu3+qhGUFbfBQe77fDxvFBo9njfe97H5/73OdYXl5mfX39aef0/76wM/02jikyGeH8+f3++msXtb5D/KOWBf9vlmRdrrGmk289eGra+jUusZSytPH7rEy4lf1PnCicn/AB4eQZmoq6nAQgf4K1U2Bl+bUpUbBrhK2uwF7hdNcaatXOrS2m6pKEtULk2u5DfadCNzCiYuz1HQiX87dazddgNIcpNlkddg8Ivr8RDSJbwczmswS1xXCAZ8Vylq3MoyNVru8U1GobkkM+nCnhmNU05g2HhPPgAqZTRVWcW7ssS5sYTSEAVs8I1I+PPpCi2Crm2T0v5k8PuOsdgzf2+OtqPNWIF8esJXsaDVCOintRClUqfhEAuVbyFOOeehdc98Q2pzNfoHiCxSGf3ECP+VGsbrqFnS24D1ncL8PAtLoTSxspjOYwVb9wTJef4SZ2oNZlGJIDDmL7hKOfa3cSvnNxa962dTtGUTD9XjaeEa3PrZYoo6QKGNbu0sZJfrId4LKGrBYg3wyOmvT9osHKGRI9Pxfzn+10sjks0XabGI9n3zyps7vJN8s4k2IC1k436f23NeTVJJPvHayPOzi29ePqShosXmAw9PU8K88I1LvlFqISroRJ9MEkm3uF7aI3TIEksfDKXoLTen0nZvolMlJZovU2WD1VfF8GPjsmOuMur4u/S9aaKpUY+WA7wx+bY/WiHrIdULFkO4c+MS2OkSQqO1rq9kaSyZzUQqpPwbUpgha5DImTxTkDIypVNwSmDcI3TdaLnSff0gNA17U5TIfM5i43zT86ArJEZWcnjkNWoB4JsXFWnOhv5sT3R1G2emzUtP4lWQTciiwkZMNBKJfJ7WnDe980+dN68NwnFJFm3zhAfneRnR9JQDINLidmoYAUDpEa8LNxgkrPDUXkUoXsoNUL4tbRuk0kRaE60CE6V1cNWBHPh+yVIfyvSYvgYX5la33VnCWLClY5qQ/Hvikqu3tRChXmL/BTdUHf50bAMCmfukMs07KBY3yJw59oI3ybi6YH0+Q6vaR7RKDXfE+OxfO8dH3zCIVTRQF15j9cuD8cYPFcL50/X2f9zCixn4wgKQqH/rmPnV8tII3P1cckuV2Mf66ZsVf+XxoNj/XbYeP4oRHtsWfPHvbv388b3vAGvvnNb6KqT5+89u/r69pOv41jisfaEryo/Z0A5E8SPAbPfssZe5T+fo0+Uyvq1Tu2Ou4pK1Zm33J8izvEezUahmoVTkpZS9vc7xGqP2xJf9aCjXrTLsvpr13HlCSU/Db+9zbUFWIWN+uv1ehG2pJ1rJXJzg821Z1mKW1d2+pwCVAeEEVshdiWNnz4oOVNKtb9xV14HxSFrIlnCe50vkmi9TYxDzWJTrlYJrlHjM03K+690OzCuSnmVJlbhWIRVXZS7YjVA6BSd5RCXDjngXFx7arXUXcOlGKVUtjqelwycFhZ86pPE0EQYndmfa/FM79jfSsQAhZfJsas5iD+620dh02zXhibP7GVhWeKNRCYBEde2CfbKh0tXyrJ9aArfWYX/jFx/cnLIpRDBpF9VifTVb2+YyCZ4Du4Vv8ckiQcR0mqy6CmTmmh4hUfcKYMJMPEd0TY1/Bo6F6NfIvVH2GtTMWv4pkQ8zf52hjBcZOKVyLdL8bd9CBEbpo+mtalKiy8rIvYfhEcSCtJNk4OktkrxqDHyrT82kGuRSb+UJHZCy2qmt9AS8i4NsCZsIKyG8W5U+f0oLss6skLigz9XYKlF7QRPVRk+Qzx+eb7ShTiDkL3r2w5oZmsyKBLEhPvGgBrmOHDJut7wXCauNZkIiPCsfaPJpHSOUbf2UH0EQiN5oTOPeC/cwpMk8LJPbgnNij0Rci2OyiFxLXiDxRQs2XkhTUm/rKfcluF3itNUWwLUCqJ2gBLhag83Il24Lc7U6PIEPBDIgVOjbF39Qp1mtozo1bsDOSeOShkKzWHuE/DwKx10K7xk1VVyKtubCJ5PHz/wD+I9dcgFIanMxqNTvJ0RyPa4zvf+Q5vetObMAyDL37xi/zlX/7l8R7SMYNN77HRkHh08c9Fnf+nrl7i2b94dJbfpR11rJSyCnFrDm3NAU/UXpfAsKQzC9UtukJNO96i0+idwhk3rIZbDitLSLEEqoJjboPVCzphqIfgpHDGHKkiErB5UgiA6C1HqwltnuCj6aZ54YRYW9P1wuFa3UBfDNfhJZG512rFyV4Mj7jPmqKLNi6ygtqSm8QpMZSyiWTxs6teJ0jgyFTruwjZNonAjIFv0SSzQ2RdPEvFeqBTiApHyzcLaqqIP1UkuTuMfyqPHvEhFZ1kraZk688VXHq5DIrlD688w0/zPcIuqV6ZlntKVD0OnIkSGycKp14tWbUCK5W6RKc2uUrzRrY+t2ZE/DjMvjBM+80iAFg+20txuBXXhMgSp09uQc1b0qgTCZQzBD3JP1fBtZhD92v4p8UpawpApaE4Ss7KIj+8Qn6wCUe2Qtev86R2uPEuiRtRCzqOmTWQxRos9cZwHrECzJotS2VMZ02tScdwKIRvFRlmM+SDbJ7N54iAxZnUUcoGvlGxc6ONZSkPtKJmy/RenSbT66Pqluj/viUL2uTaKsLdhvYfzdT59+UmH7F7N5F8baT7TJQ1jYpHwj9nkOx3oaVArgDrMhU/VDwQGq3iechyiH1eNodlSoNFtAkXjnE35S4JJEGNk89OAjATCzL42Slm/7SPwKxB6ME14TynxA/5jm8usHJhO4EZMXfViISkmJQMB4G7ZzFaIpiaiqRpmJJYY3Kfh2ybjFKBzKv6eeRzf/Vb9/rf4k1P7PDHxfv/QOcBcrnc7z7IxjFBoxWOPt3RiPZ4/etfz8rKCu9///v56Ec/yitf+UpbxedRsDP9No4pHp0duKjjXUcfYBVU1mkvj8r2b1dGqSnA1J1+C5U+8SWvd9y1HCq9XTiQutdRb8JVK9R1WFr4db18C0ZMOLDy4vpR51DWkuR2i8643n2LR41t6vVix6L3u4t12kH6DKGiErh/Ab3V2hWwHGLTKmCVCiVMt5XhDYl5UNfEva09s5noI5aMYWqrGU96b/yoa0u6iSMnHMtag7HkSTFC94lixcSZYsySYVJxSxScYp6j82IM3gMrbJwnHH/PsmiSBZDuFn+3/2SOzWeKe3EmdXSrR4FnoVAvgtZm1rcKl6G++4KqUu60dO6TRVBldI8IflI7XEjWRzzLFeSKJZs6u0n2BDHnvgfmt+QxASPkR05YuyiGiWHRfFK7AngXyxTilmpTWsd9QDSG0jtilENOXItWLcP2HZtqFfw+Ieta0/6XJKsZ07b7cTjqOztSRUfezGytVyuALZwoqEnuqYSQbZ3ZRu94lMLP1jzJonDUoWD0d1J1KSglcd1cm8Y9//me3/6MjScVjZjNfLrCtkVjoVHtUSgUOOOMMzhw4ADPe97z+NWvftVw9QdPBuxMv42nBiyKAyAy4ha3uiZbWeOw152kmvOlKkjpHEYsiNkcRra6p1Io4phaZeM5XdDTTeiIcKzlTAk5V6ISF4GC67Cl4mE5b49ujoVTqyu4qGsZ8HmhUERZ3sRoDmPEgngfFo5kjdtf9aokBxw4U+Cf08nsbcY7KZzLqnurME1JCqfdCAr+v7yWrGefpc2keM1tFTJXKuR3teBdrlKOiEBA003y3ZZSkCbmJTCaoRgX58s3i88WmpoI37lI6J4lJt4snNDm+/V6N91KxEN4VGSIlaY4pbiXYn8T0VsEbSi3uxXPnBir/5EMpteFGfAKutFhq5lQSabqUSg2u4T85WyRcncMx2a+XndRHBJ0Jd0lozsklLJJxe+jEFXI9Ijxt91ewpEQ5zRlmWpQw3lEBCq+fStbNByo7wbNvTBE18/Fv1fPChMaLZHptnZNChWC+61gMJ2td61V5taYf1kP/d/dxqveln2/dvQTHE806g+pDRs2bDwV4Ha7+f73v89pp53Gddddx9VXX81LX/rS4z2shoHt9Ns4ptheWHNR/1+DUxPa1IC8ZNFxXE7kTH5LynF7MU7N+becZMNSxcl3Wk2WHhGOojNtZfetTHKx2XKYLYUVTJPUWaIY1rtQoNoWIdchjqmp0UgW5/+oIk+2CnGNeAh5Iy0y25qGBshVUejnGl056jOR29Ji7JIEhompKUjFslDzUVX0iCVtmHFQbhUOnzYm7sU9b0kayjLFVi/FVi++ETFXM69spumhCsVmTz3TrhRNPMtHj7npYYPAAavQ0jDrFBy9M47hkDEUDde4KEAs9ccxFAm5bFCKuXDPpzE9TgyPhlQ1aLo/jWnZwXA4qXjFdX1zJdJ9gu7kCmv4DlnykUeW6wXOuR0h0b0WKETdHP7wE6SAPBof/R9+7q//d5d9svB0Kjx7KsC2R+PAtkVjoZHtsWvXLt7znvfwsY99jD/7sz/D4XDwohe96HgPqyHQuFaz8UeJyrbCuhrkbFEobFiOZO4EkTn3TFvFrnmLOmE53zVueN6StfSObuLbyG69H/DinUjWP7d4saCrNN8nMs/KZg48blwbYiw1pZvgg5ajblFTqm1h1M0c+Dy/5fjXaD9GVIxFt5R95LKBNnG0w1+yCnOds1aRb6mEERE7DHpUqOE4NvNUIh50j59yQIwn/0wRlPin8sj5MpJh1Ok22eEovn0rdH9vod60LNcbINMu3s+1itfa5jaotkbwLBS2KCiaxo03/w0AqZTI+geDv9323saxx2N9P2wcP9j2aBzYtmgsNLo9PvCBD3DjjTdy9913c8kll/DOd76Tj3zkI0Ss396nK2yn38YxRY1bd9Hw34iGRZnc0bKVLifeg6tbr1lKKihKvaFWTTbRvWAV2dXUdyxufMVypLWM2Clou9oqcqxp/1sFSJJhCo1sIN3nJtfeQuQ2QW1BN4Q0Z+36VnFu4izBiQ8eEdl3Q1NR59eREZl/oK79rwe3ZCoBQWOygofr7vp/v9+E/W/x+f/+7acD1/GpBNsejQXbHo0D2xaNhUa3h9/v55ZbbuF973sfX/ziF/niF7/IFVdcwVe+8hVe9apXHe/hHTfYTr+NYwpFUXjxs/8JpeYQP0ous9aAqtoWEv+vWsWhI8IZL50oimQ1q1NtrRCz1v1U9ziQDBM1Wag3uqofVyrX5TBrcoTX3/63f+hbfEqhERUYns6w7dFYsO3ROLBt0Vh4KthD0zS+8IUvcMkll/De976X/fv38/rXv55du3axe/fu4z284wLb6bdxTKHrOqZhgASKpYizXabzV/s/dpxG9vSE/hgSkjaOH2x7NBZsezQObFs0Fp5K9rjwwgt56KGHeMlLXsLPf/5zXvOa1/CrX/2Kjo6O4z20Yw7b6bdxTCFJEj/9zd80VBe/pzMafYv26QbbHo0F2x6NA9sWjYWnmj0UReFb3/oWe/bs4eDBg+zevZtbbrmFPXv2HO+hHVPIv/sQGzb+cJAk6Sn3sPhjhm2PxoJtj8aCbY/GgW2LxsJT0R7xeJxbbrmFU045hWQyydve9jYMw/jdH/wjgu302zimMAzjafcla2TY9mgs2PZoLNj2aBzYtmgsPFXtMTQ0xM9+9jO8Xi933XUXb3vb28hms8d7WMcMttNv45hClmVk2V52jQLbHo0F2x6NBdsejQPbFo2Fp7I92tvb+cY3voEkSXzjG9+gr6+Pz3/+8xSLxd/94ac4npoWs/GUhWmamNsKd20cX9j2aCzY9mgs2PZoHNi2aCw81e3xmte8hp/85Cf09/eztrbGu9/9bgYHB/nWt75FtVo93sN70mA7/TaOKZ7qD4o/Ntj2aCzY9mgs2PZoHNi2aCz8Mdjj0ksv5dChQ3zjG9+go6ODubk5Lr/8cnbt2sWNN954vIf3pMB2+m0cUyiK8pTQ9326wLZHY8G2R2PBtkfjwLZFY+GPxR4Oh4PLL7+csbExPvvZz9LU1MTY2BgXXnghf/u3f0symTzeQ/yDwnb6bRxT6Lr+lNL3/WOHbY/Ggm2PxoJtj8aBbYvGwh+bPVwuF+9+97uZmJjgLW95C6Zp8vGPf5zm5mZe+tKX8uCDDx7vIf5BYDv9NmzYsGHDhg0bNp728Pv9fO1rX+P73/8+u3btolwuc/XVV3PWWWfxxS9+8SlPabKdfhvHFH8sW4J/LLDt0Viw7dFYsO3ROLBt0Vj4Y7fHZZddxsGDB9m3bx8veclLKJfLvOtd7+LlL385iUTieA/vfwzb6bdxTPHHtiX4VIdtj8aCbY/Ggm2PxoFti8bC08Ueu3fv5sc//jGf//zncTgc/OQnP2FgYIAPfOAD3H333U+5XgW202/Dhg0bNmzYsGHDxmNAkiTe9a53ceedd7Jz5042Njb4l3/5F8466yw6Ojp43/ve95Qp+LWdfhvHFH/sW4JPNdj2aCzY9mgs2PZoHNi2aCw8He1x2mmnsX//fn74wx/yqle9Cr/fz9LSEp/+9KcZGhriE5/4BJubm8d7mP8tbKffxjHF02VL8KkC2x6NBdsejQXbHo0D2xaNhaerPVRV5RWveAVXXnkla2tr/PSnP2VoaIjV1VU++MEP0tHRwVvf+lZmZmaO91AfE7bTb+OYQpIkJEk63sOwYcG2R2PBtkdjwbZH48C2RWPBtgc4nU5e/OIX88gjj/Bv//Zv7N27l0KhwNe//nV27tzJe9/7Xu68886GCo5sp9/GMYX9oGgs2PZoLNj2aCzY9mgc2LZoLNj22ILT6eRNb3oTDz30ELfccgvPfvazKRaLfOYzn+Gcc84hHo/zp3/6p4yOjh7vodpOv41ji6frlmCjwrZHY8G2R2PBtkfjwLZFY8G2x29DkiTOO+88brrpJn72s59x2WWXEQqF2Nzc5Lvf/S579uzhqquuOq5jtJ1+G8cUT8fin0aGbY/Ggm2PxoJtj8aBbYvGgm2Px4ckSVxyySV8//vfZ21tjdtuu43nPe95lEolXvva13LllVcet7HZTr+NYwrTNJ/yHe3+mGDbo7Fg26OxYNujcWDborFg2+P3g6qqnHvuufzyl7/ksssuo1wu85rXvIa3ve1tTExMHPPx2E6/jWMK+0HRWLDt0Viw7dFYsO3ROLBt0Viw7fHEoCgK3/ve9/jABz4AwNe+9jUGBwf57Gc/e0zn0Xb6bRxT2FuCjQXbHo0F2x6NBdsejQPbFo0F2x5PHIqi8M///M/ccMMNXHjhhRiGwXve8x7OOecc/uu//otisfikj8F2+m0cU9jFP40F2x6NBdsejQXbHo0D2xaNBdse/3Ocf/75/PrXv+ZTn/oULpeLu+66i9e+9rW0t7fz6U9/GsMwnrRr206/DRs2bNiwYcOGDRvHCJIk8d73vpeJiQk+/OEP09HRwebmJu973/t45zvf+aRd13b6bRxT2FuCjQXbHo0F2x6NBdsejQPbFo0F2x5/GLS1tfGRj3yE6elp/vVf/xWAr3zlK6yvrz8p17OdfhvHFPaWYGPBtkdjwbZHY8G2R+PAtkVjwbbHHxaKovD2t7+dvr4+TNNk3759T8p1bKffhg0bNmzYsGHDho3jjL179wLw5S9/mUKh8Ac/v+302zimsLcEGwu2PRoLtj0aC7Y9Gge2LRoLtj2eHFx++eUAXHXVVZx66qk88MADf9Dz206/jWMKe0uwsWDbo7Fg26OxYNujcWDborFg2+PJwcUXX8wvfvELWlpaGBkZ4cwzz+Stb30rKysrf5Dz206/jWMKSZKQJOl4D8OGBdsejQXbHo0F2x6NA9sWjQXbHk8eLr74Yg4cOMArX/lKqtUqX//61znnnHOYnZ39X5/bdvptHFPYD4rGgm2PxoJtj8aCbY/GgW2LxoJtjycX0WiUH/zgB9x666309fUxMTHB6aefzjXXXPO/Oq/t9D9JKBaLdovqx4BhGE9q4wkbTwy2PRoLtj0aC7Y9Gge2LRoLtj2ODZ75zGdyyy23sHv3blZXV3nxi1/M5ZdfTiaT+R+dz3b6nwR873vfw+12I8sy5XL5eA+noSDLMrJsL7tGgW2PxoJtj8aCbY/GgW2LxoJtj2OHjo4O7r33Xt73vvchSRLf+ta3OPnkkxkbG3vC57It9iTA6/XW//2jH/3oqPfS6fTTegfANM2n9f03Gmx7NBZsezQWbHs0DmxbNBZsexxbuFwuPvnJT3LzzTfT3d3NxMQE55577hPm+dtO/5OASy+9lG984xukUile+9rX1l//1Kc+RTAYRJZlPvnJTx7HER4/2A+KxoJtj8aCbY/Ggm2PxoFti8aCbY/jg2c961ncc889dHd3s7q6yve+970n9Hnb6X+ScPnllxMIBI56rVqt1v/9/ve/n7m5uWM9rOMOW9u3sWDbo7Fg26OxYNujcWDborFg2+P4obm5mTe84Q0ATE5OPqHPqk/GgGw8Nj74wQ+yd+9eVlZWUFWVlpaW4z2kYw5b17exYNujsWDbo7Fg26NxYNuisWDb4/iira0NgNXV1Sf0OdvpP8a46KKLjvcQjivs7cDGgm2PxoJtj8aCbY/GgW2LxoJtj+OL2i7LE1VQsp1+G8cUDofjeA/BxjbY9mgs2PZoLNj2aBzYtmgs2PY4vqg5/U9UIdJ2+m0cU2yva7Bx/GHbo7Fg26OxYNujcWDborFg2+P4oqOjA8BW77Fhw4YNGzZs2LBh448VfX19AExNTT0hio+d6bdxTGFX+zcWbHs0Fmx7NBZsezQObFs0Fmx7HF90dXWhKArFYpHl5eXf+3N2pt/GMYWu63bVfwPBtkdjwbZHY8G2R+PAtkVjwbbH8YXD4aCrqwvgCXXmfUJO/0033cSf/dmfsXPnTrxeL+3t7Vz6/9u77/Aoqv0N4O/spjeSEEIIJSEEDF1K6F0UAQUEFRUVQURRFL0WuBaKF/UH2ABFriKCAgooIiBepCQKUjUgxdADQSSQBul1z+8P3DFLdrMlW0427+d58hBm5sycmXey+Wbq8OH47bffKk2blJSEgQMHIiAgAMHBwRg5cqTR54keO3YMXbt2hZ+fHwYPHoy//vrLYHxpaSn++9//Ij4+HqGhofDz80NUVBSGDx+Ob7/91prukwQURYGiKK7uBv2NeciFeciFeciDWciFebhehw4dAACJiYkWt7Gq6P/oo49w7tw5TJkyBZs3b8b8+fNx5coVdOvWDTt27FCnO378OPr164eSkhKsWbMGS5cuxcmTJ9G7d2+kp6cbzPOee+5B79698cMPPyAsLAwTJ040GP/QQw/h6aefRv/+/bFixQps3LgRr776Kjw8PLBlyxZruk9EREREVOPdcccdAICNGzda3EYRVjxs9cqVKwgPDzcYlpeXh9jYWLRp0wbbtm0DANx7771ISEjAmTNn1LfSnj9/Hs2bN8dzzz2HOXPmAAAyMjLQokULZGVlAQBycnLQsGFD5ObmArh+g0JMTAymT5+OWbNmVeqPTqeDRlP13y2dOnVCUlISOnbsaPSMBDlXTk4OAFR6WzG5BvOQC/OQC/OQB7OQC/NwPX2N7OHhgXbt2llU61p1pP/Ggh8AAgIC0KpVK1y4cAHA9cc4bdq0CaNGjTLYGaKiotC/f3+DS3JCQ0OhKApWrFiBnJwcLFq0CDfddJM6PjMzEwDQoEED4503U/CTfPjqbrkwD7kwD7kwD3kwC7kwD9dr2LAhvLy8UFZWhvz8fIvaVLtqvnbtGpKSktC6dWsAwJkzZ1BYWIh27dpVmrZdu3Y4ffo0ioqKri9co8GSJUswadIk1KlTBwsXLsTixYvV6Vu2bIng4GDMmjULH3/8Mc6dO1fd7pKL8eYfuTAPuTAPuTAPeTALuTAP1/Py8sKwYcMA/HPmxZxqF/1PPfUU8vPz8corrwD45+h8aGhopWlDQ0MhhEB2drY67K677kJaWhqSk5ORkpKCzp07q+P8/f2xcuVKlJWV4fHHH0fTpk0RFhaGe++916prmIiIiIiI3ElsbCwAWPwHWLWe0//aa69h5cqVWLhwITp16mQwrqq7um8c5+/vj7i4OKPTDhkyBKmpqdiyZQt++eUX7N+/H+vXr8fatWvx1FNP4YMPPrCor+Xl5cjPz0d5ebl617n+ngAhBIQQ0Gq16oYz9r2+XXl5ObRardXtTC1PCAFPT0/1DXcV2wGotAwPDw+UlpZCURSLlyHLOhUWFqqZuMs61eSc8vPz4enpqR4lcId1qsk5FRQUQKPRQFEUt1mnmpxTQUGB261TTc2puLgY+lsQ3WWdanJOBQUF0Gq1yMnJcZt1qok56edj6Qu6bD7SP2vWLMyePRtvvPEGJk+erA6vW7cugH+O+FeUlZUFRVEQHBxs1bJ8fX0xYsQIzJs3Dz/99BNOnz6NVq1a4cMPP8SxY8dsXQVygdLSUpSWlrq6G/Q35iEX5iEX5iEPZiEX5lEz2XSkf9asWZg5cyZmzpyJl19+2WBcs2bN4OvriyNHjlRqd+TIEcTGxsLHx8e23v6tSZMmmDhxIp599lkcO3ZMvZ+gKlqtFv7+/tVaLtkP7/iXC/OQg/5oTWBgoIt7QsA/p8z5u8P19EdC+VklF+bhWl5eXgCqvrqmIquP9P/nP//BzJkz8eqrr2LGjBmVxnt4eODOO+/EunXr1EdvAkBqaioSEhIwcuRIi5eVm5uLvLw8o+OSk5MBAJGRkVauAbmSVss7/mXCPOTCPOTCPOTBLOTCPOSgP9tiadFv1ZH+d955B9OnT8ftt9+OoUOHYu/evQbju3XrBuD6mYD4+HjccccdmDZtGoqKijB9+nSEhYXh+eeft3h5J06cwKBBg3Dfffehb9++aNCgAbKzs/H999/j448/Rr9+/dCjRw9rVoFcTH/kjOTAPOTCPOTCPOTBLOTCPORw5swZAP8c8TfHqqJf/8Sc//3vf/jf//5Xabz+Jpu4uDgkJiZi6tSpuPvuu+Hh4YEBAwbg7bffRr169SxeXmxsLP71r39hx44d+O6775Ceng5PT080b94cs2fPxr/+9S8+q7+G4Wu75cI85MI85MI85MEs5MI85HDixAkAsPiyeauK/sTERIun7dSpk/qGXlsFBwfjlVdeUR8HSjUfPyjkwjzkwjzkwjzkwSzkwjzkcPbsWQCAt7e3RdNX65Gd7q6srAweHtxE9mTpY6XIOZiHXJiHXJiHPJiFXJiHHPQvu7X0/gpeG2PC1q1b4enpyac22JlGo+ElWRJhHnJhHnJhHvJgFnJhHq4nhFDPuDj8Of3uTv90oIKCAqSnp7u4N+5D/6IKkgPzkAvzkAvzkAezkAvzcD1FUdCyZUsAMHjxaVVY9JswefJkXLt2DXFxcahTp46ru+M2+EEhF+YhF+YhF+YhD2YhF+Yhh/j4eABAfn6+RdOz6DdBo9EgKCgIycnJFj8Kiczjs33lwjzkwjzkwjzkwSzkwjzk0LlzZwDXr0qxBO9SJafis33lwjzkwjzkwjzkwSzkwjzkwCP9RERERERurn379vD09LT4jzAW/eRUPCUoF+YhF+YhF+YhD2YhF+YhB29vb0RGRlo8PS/vIafiKUG5MA+5MA+5MA95MAu5MA95WPPOBB7pJyIiIiKqYbKysnDx4kWLp+eRfnIqng6UC/OQC/OQC/OQB7OQC/OQw88//wydTgcfHx/17bxVYdFPTsVTgnJhHnJhHnJhHvJgFnJhHnJISUkBAPj6+rLoJ/noXxlNcmAecmEecmEe8mAWcmEecjh//jwAWPw+KRb95FT8oJAL85AL85AL85AHs5AL85DDzp07AVw/0m8JFv3kVDwlKBfmIRfmIRfmIQ9mIRfm4XoFBQU4dOgQACAwMNCiNiz6yal4849cmIdcmIdcmIc8mIVcmIfrHT58GDqdDuHh4fD09LSoDR/ZSU4lhIAQwtXdoL8xD7kwD7kwD3kwC7kwD9c7ffo0AKBNmzYWt2HRT07FDwq5MA+5MA+5MA95MAu5MA/Xu3LlCgAgIiLC4jYs+smp+OpuuTAPuTAPuTAPeTALuTAP19MX/eHh4Ra34TX95FS8+UcuzEMuzEMuzEMezEIuzMP10tLSAAD16tWzuA2P9BMRERER1SB79+4FYN01/TzST07F04FyYR5yYR5yYR7yYBZyYR6ulZaWhhMnTkBRFPTu3dvidiz6yal4SlAuzEMuzEMuzEMezEIuzMO1vv/+ewBA+/btERISYnE7Fv1ERERERJIrLS3Fhg0bMH36dADA/fffb1V7Fv3kVDwlKBfmIRfmIRfmIQ9mIRfm4RpTp07Fe++9BwCIjo7GpEmTrGrPop+ciqcE5cI85MI85MI85MEs5MI8XOP48eMAgMDAQCQkJCAwMNCq9iz6yakURXF1F6gC5iEX5iEX5iEPZiEX5uEaSUlJAICNGzciOjra6vYs+smp+EEhF+YhF+YhF+YhD2YhF+bhGsXFxQAAb29vm9rzOf3kVDqdDjqdztXdoL8xD7kwD7kwD3kwC7kwD9fo378/AGD06NHYsWOH1e1Z9JNTaTQaaDTc7WTBPOTCPOTCPOTBLOTCPFxjwYIFiIiIQGpqKoYPH47S0lKr2jMxciohBIQQru4G/Y15yIV5yIV5yINZyIV5uEajRo2wcuVKAEBhYSHKysqsas9r+smp+CEhF+YhF+YhF+YhD2YhF+bhOv/5z38AAKNGjYKvr69VbVn0k1Px2b5yYR5yYR5yYR7yYBZyYR6uUVBQgJ9//hkA8Oabb1rdnkU/ORWf7SsX5iEX5iEX5iEPZiEX5uEaJ0+ehE6nQ926ddGsWTOr27PoJ6fiKUG5MA+5MA+5MA95MAu5MA/X0G93Ly8vm9qz6Cen8vT0dHUXqALmIRfmIRfmIQ9mIRfm4Rr6a/hzc3Ntas+n95BTlZWVWX23eUXZ2dlIS0vD1q1b7dir2qu6eZB9MQ+5MA95MAu5MA/XOHbsGACgRYsWNrXnkX6qURYtWoSNGzciNzcXv/zyC4KDg13dJSIiIiKHO3r0KADg5ptvtqk9j/STU2m12mrd9d+7d28cPnwYp06d4otB7KC6eZB9MQ+5MA95MAu5MA/XuHTpEoDrz+u3BY/0k1NV947/Pn364MCBA/D09ERQUJCdelV78QkMcmEecmEe8mAWcmEernHlyhUAQP369W1qz6KfnEpRlGrPo3Xr1nboCQH2yYPsh3nIhXnIg1nIhXm4RmZmJgAgNDTUpva8PoKIiIiISHL6Yj89Pd2m9iz6yamEEHy+r0SYh1yYh1yYhzyYhVyYh2u0a9cOALBr1y6b2rPoJ6fizT9yYR5yYR5yYR7yYBZyYR6ucfvttwMAfvzxR5semcqin5yqvLycNwBJhHnIhXnIhXnIg1nIhXm4RpcuXRAaGoqrV69i7969Vrdn0U9EREREJDmtVotBgwYBALZs2WJ1ez69h5zKw4O7nEyYh1yYh1yYhzyYhVyYh+vob+YtLCy0ui1TI6cqLS11dReoAuYhF+YhF+YhD2YhF+bhGrm5udi4cSMAoFu3bla3Z9FPTsVn+8qFeciFeciFeciDWciFeThfWVkZHnzwQaSmpiIyMlK9qdcaLPrJqXi3v1yYh1yYh1yYhzyYhVyYh/OtWrUKGzZsgLe3N77++msEBARYPQ8W/eRUvNtfLsxDLsxDLsxDHsxCLszD+VatWgUAmDp1Krp3727TPFj0k1PxlKBcmIdcmIdcmIc8mIVcmIdzXb16Fdu2bQMAjBkzxub5sOgnp+IHhVyYh1yYh1yYhzyYhVyYh3MVFxerZ1eCg4Ntng+f009OpdPpoNPpXN0N+hvzkAvzkAvzkAezkAvzcK769esjPj4eALBw4UKb58Oin5xKo9FAo+FuJwvmIRfmIRfmIQ9mIRfm4XyjRo0CAJw+fdrmefDyHnIqIYSru0AVMA+5MA+5MA95MAu5MA/nS0tLAwA0btzY5nmw6Cen4geFXJiHXJiHXJiHPJiFXJiH82VnZwOo3jX9LPrJqfhsX7kwD7kwD7kwD3kwC7kwD+fLy8sDAFy7ds3mebDoJ6fis33lwjzkwjzkwjzkwSzkwjycLzExEQAwZMgQm+fBuzCIiIiIiCSVm5uLzMxMAECHDh1sng+P9JNT8ZSgXJiHXJiHXJiHPJiFXJiHc23evBkAEBUVhaCgIJvnw6KfnIqnBOXCPOTCPOTCPOTBLOTCPJxryZIlAICHH364WvPh5T1ERERERBLKzc3F9u3bAQDjxo2r1rxY9JNTabVanhaUCPOQi6k8hBDIyMhwQY9qN/58yINZyIV5OM+pU6cghEBQUBCaNm1arXmx6CenKi8v52lBiTAPuRjL4/vvv0efPn1Qr1493HTTTTh8+LCLelf78OdDHsxCLszDedasWQMA6N+/f7XnxaKfnEpRFCiK4upu0N+Yh1yM5bF8+XLs2rULAHDy5EmkpKS4omu1En8+5MEs5MI8nEMIgVWrVgEAHnzwwWrPjzfyklPxQ0IuzEMuxvIYPXo0Tp48ieDgYDzwwAMYNmyYC3pWO/HnQx7MQi7MwznS09Nx4cIFKIpSrefz67HoJ6fi6UC5MA+5GMtj1KhRGDVqlAt6Q/z5kAezkAvzcA79vVzBwcHw8/Or9vxY9JNT8cYfuTAPuTAPuTAPeTALuTAP5/Dy8gIAlJaW2mV+LPrJqYQQru4CVcA85MI85MI85MEs5MI8nEN/D5evr69d5sein5yKHxRyYR5yYR5yYR7yYBZyYR6Od+LECTzwwAMAgEGDBtllniz6yal4SlAuzEMuzEMuzEMezEIuzMPxXnvtNWRkZKBjx4744IMP7DJPFv3kVLz5Ry7MQy7MQy7MQx7MQi7Mw7GKioqwceNGAMAnn3yCOnXq2GW+fE4/EREREZEkdu3ahaKiIkRGRqJDhw52my+P9JNT8ZSgXJiHXJiHXJiHPJiFXJiHYyUkJAAABg4caNd3IrDoJ6fiKUG5MA+5MA+5MA95MAu5MA/H0j+1p3379nadLy/vISIiIiKSxF9//QUAiIyMtOt8eaSfnIqnBOXCPOTCPOTCPOTBLOTCPBynrKwMp0+fBsCin2o4nhKUC/OQC/OQC/OQB7OQC/NwnA8//BAXL15EaGgobr75ZrvOm0U/OZU9b0ih6mMecmEecmEe8mAWcmEejvPFF18AAGbNmoWgoCC7zptFPzkVPyjkwjzkwjzkwjzkwSzkwjwc4/Tp0zh48CAAYPjw4XafP2/kJafS6XTQ6XSu7gb9jXnIhXnIhXnIg1nIhXnY36+//opBgwZBp9PhlltuQePGje2+DB7pJ6fSaPh3pkyYh1yYh1yYhzyYhVyYh30VFRVhyJAhSE9PR5MmTbBs2TKHLIdFPzmVEMLVXaAKmIdcmIdcmIc8mIVcmId9nT59Gunp6VAUBYcOHUJISIhDlsOin5yKHxRyYR5yYR5yYR7yYBZyYR72FRERAeD6dvXz83PYcnh+hpxKq9Xy+b4SYR5yYR5yYR7yYBZyYR72VbduXbXY/+OPPxy2HBb95FTl5eV8vq9EmIdcmIdcmIc8mIVcmId9KYqCXr16AQDuv/9+ZGVlOWQ5VhX9hw4dwtChQ9GkSRP4+voiNDQU3bt3x4oVKypNm5SUhIEDByIgIADBwcEYOXIkzp49W2m6Y8eOoWvXrvDz88PgwYPVVw/rlZaW4r///S/i4+MRGhoKPz8/REVFYfjw4fj222+tXF1yNSEETwtKhHnIhXnIhXnIg1nIhXnY32effYZGjRrhxIkTmDt3rkOWYVXRf/XqVTRu3BhvvvkmNm/ejM8//xzR0dF46KGHMHv2bHW648ePo1+/figpKcGaNWuwdOlSnDx5Er1790Z6errBPO+55x707t0bP/zwA8LCwjBx4kSD8Q899BCefvpp9O/fHytWrMDGjRvx6quvwsPDA1u2bKnGqpMreHp6wtPT09XdoL8xD7kwD7kwD3kwC7kwD/uLjIzEm2++CQBISEhwyDIUYYc/1bp164a//voLqampAIB7770XCQkJOHPmjPo2sfPnz6N58+Z47rnnMGfOHABARkYGWrRooZ7GyMnJQcOGDZGbmwsASElJQUxMDKZPn45Zs2ZVWq5OpzP72KhOnTohKSkJHTt2xG+//VbdVaVqysnJAQC7v2WObMM85MI85MI85MEs5MI8HGPnzp3o06cPmjdvjpMnT1rcztJa1y7X9IeFhcHD4/qDgMrKyrBp0yaMGjXKYGeIiopC//79DS7JCQ0NhaIoWLFiBXJycrBo0SLcdNNN6vjMzEwAQIMGDYx3ns+JJSIiIiI34OvrCwAoKChwyPxtemSn/k1s2dnZWLt2LbZs2YIPPvgAAHDmzBkUFhaiXbt2ldq1a9cOW7duRVFREXx8fKDRaLBkyRI8/PDDeOihhxAZGYnvvvtOnb5ly5YIDg7GrFmzoNFocNtttyE6Otq2NSUp8G5/uTAPuTAPuTAPeTALuTAPx7hy5QoAoF69eg6Zv02Hyp988kl4enoiPDwczz33HBYsWIDHH38cwD9H50NDQyu1Cw0NhRAC2dnZ6rC77roLaWlpSE5ORkpKCjp37qyO8/f3x8qVK1FWVobHH38cTZs2RVhYGO69915s3LjRlq6Ti/GOf7kwD7kwD7kwD3kwC7kwD8e4cOECAKBx48YOmb9NR/pffvllTJgwAVeuXMHGjRsxefJk5Ofn44UXXlCnURTFZPsbx/n7+yMuLs7otEOGDEFqaiq2bNmCX375Bfv378f69euxdu1aPPXUU+oZBnPKy8uRn5+P8vJyKIoCRVHUewL0d6FrtVp1Jzb2vb5deXk5tFqt1e1MLU8IAU9PT5SVlVVqB6DSMjw8PFBaWgpFUSxehizrlJeXp2biLutUk3PKyckxuBnLHdapJueUm5sLjUYDRVHcZp1qck76+8vcaZ1qak4FBQXq02LcZZ1qck65ubnq0X53WScZcjp8+DCA65e15+TkWLxO+n6YY1PR36RJEzRp0gTA9aIcAP79739j7NixqFu3LoB/jvhXlJWVBUVREBwcbNXyfH19MWLECIwYMQIAkJqaisGDB+PDDz/EpEmT0Lp1a1tWg4iIiIjI5YQQ2LlzJwCgS5cuDlmGTUX/jbp06YLFixfj7Nmz6NSpE3x9fXHkyJFK0x05cgSxsbHw8fGp1vKaNGmCiRMn4tlnn8WxY8csKvq1Wi38/f2rtVyyH97xLxfmIQedTgcACAwMdHFPCIB69Iy/O1xPfySUn1VyYR72cfnyZTz22GM4cuQINBoNBg8ebNW21Z91Mccuj79JSEiARqNBTEwMPDw8cOedd2LdunXqqVHg+tH5hIQEjBw50uL55ubmGlwOUlFycjKA6881pZpDq+Wru2XCPOTCPOTCPOTBLOTCPOxn3759aNu2LTZu3AgvLy988MEHDqttrTrSP3HiRAQFBaFLly6oX78+MjIysHbtWqxevRovvviierfxrFmzEB8fjzvuuAPTpk1DUVERpk+fjrCwMDz//PMWL+/EiRMYNGgQ7rvvPvTt2xcNGjRAdnY2vv/+e3z88cfo168fevToYd0ak0tZet0ZOQfzkAvzkAvzkAezkAvzsJ8ZM2YgPT0dbdu2xcqVK9G2bVuHLcuqor979+747LPPsHz5cly9ehUBAQFo3749vvjiCzz44IPqdHFxcUhMTMTUqVNx9913w8PDAwMGDMDbb79t1WOIYmNj8a9//Qs7duzAd999h/T0dHh6eqJ58+aYPXs2/vWvf/FZ/URERERUI+lfwrVo0SKHFvyAnd7IKzO+kVcu+hdO+Pn5ubgnBDAP2TAPuTAPeTALuTAP+ygtLYWvry/Ky8tx8eJFmy/rsbTWtcuNvESWKi0tdXUXqALmIRfmIRfmIQ9mIRfmYR+ZmZnqpVIREREOXx6vjSGn0j9fluTAPOTCPOTCPOTBLOTCPOyj4ntySkpKHL48Fv3kVLzjXy7MQy7MQy7MQx7MQi7Mwz5CQ0MRHh4OAEhKSnL48lj0k1OVl/PV3TJhHnJhHnJhHvJgFnJhHvahKIr6FMrdu3c7fHm8pp+ciqcD5cI85MI85MI85MEs5MI87Ed/825OTo7Dl8Win5yKHxRyYR5yYR5yYR7yYBZyYR72o38SkpeXl8OXxaKfnEqn07m6C1QB85AL85AL85AHs5AL87Cf2NhYAMDBgwcdviwW/eRUfJmaXJiHXJiHXJiHPJiFXJiH/QwYMAAAkJCQAJ1O59Bty9TIqYQQcPP3wdUozEMuzEMuzEMezEIuzMN+4uPjERgYiOzsbPz+++8OXRaLfnIqflDIhXnIhXnIhXnIg1nIhXnYj4eHB7p16wbA8Y/tZNFPTsVn+8qFeciFeciFeciDWciFedhX69atAQB//PGHQ5fDa/rJqfhcX7kwD7kwD7kwD3kwC7kwD/tq1aoVAODYsWMOXQ6P9BMRERERuUh0dDQA4OLFiw5dDo/0k1PxdKBcmIdcmIdcmIc8mIVcmId9+fr6AgCKi4sduhwW/eRUPCUoF+YhF+YhF+YhD2YhF+ZhXz4+PgCAoqIihy6Hl/cQEREREbmI/ki//u28jsKin5yKd/zLhXnIhXnIhXnIg1nIhXnYV2RkJLy8vJCZmYkdO3Y4bDks+smpysvLeVpQIsxDLsxDLsxDHsxCLszDvkJCQjBx4kQAwDvvvOOw5fCafnIqRVFc3QWqgHnIhXnIhXnIg1nIhXnYX4sWLQAApaWlDlsGi35yKn5QyIV5yIV5yIV5yINZyIV52N/vv/8OAOrbeR2BRT85FU8HyoV5yIV5yIV5yINZyIV52F9JSQkAQKfTOWwZLPrJqXjjj1yYh1yYh1yYhzyYhVyYh31lZmbi66+/BgAMGDDAYcth0U9OJYRwdReoAuYhF+YhF+YhD2YhF+ZhX4sXL0ZhYSE6dOiA/v37O2w5LPrJqfhBIRfmIRfmIRfmIQ9mIRfmYT979uxRn9jzwgsvOPR+CRb95FQ8JSgX5iEX5iEX5iEPZiEX5mEfO3fuRL9+/aDT6RAfH4977rnHoctj0U9OxZt/5MI85MI85MI85MEs5MI87OPixYvQ6XSIiIjAjz/+CE9PT4cujy/nIiIiIiJysp49ewIArly5Ag8Pxx+H55F+ciqeEpQL85AL85AL85AHs5AL87CPxo0bw9PTE6WlpcjMzERAQIBDl8cj/eRUfHW3XJiHXJiHXJiHPJiFXKzJIz8/H7t370ZZWZmDe1UzhYWFAQA2bNjg8GWx6CciIiIiu/v9998REBCAnj17olmzZkhOTnZ1l6QzZMgQAMCBAwccviwW/eRUWq2WpwUlwjzkwjzkwjzkwSzkYmker7zyivp9amoqtm/f7shu1TinTp3CDz/8AABo166dw5fHa/rJqXh6Vi7MQy7MQy7MQx7MQi6W5vH000/Dw8MDfn5+6NChA8aPH+/gntUcly9fRr9+/fDXX3+hdevWePTRRx2+TBb95FSOfOkEWY95yIV5yIV5yINZyMXSPAYNGoRBgwY5uDc106JFi/DXX3+hWbNm2LFjB0JCQhy+TBb95FT84JYL85AL85AL85AHs5AL86ieS5cuqW/hnT17NsLDw52yXBb95FQ6nc7VXaAKmIdcmIdcmIc8mIVcmEf1vPXWW8jPz0fXrl1x7733Om25LPrJqTQa3jsuE+YhF+YhF+YhD2YhF+ZhO51OhyVLlgC4fpTfmduSRT85lRDC1V2gCpiHXJiHXJiHPJiFXJiH7RRFUW+Ejo2NdeqyWfSTU/GDQi7MQy7MQy7MQx7MQi7Mw3anTp1CSUkJPD09UbduXacum0U/ORWfsywX5iEX5iEX5iEPZiEX5mG7/fv3AwC6deuGwMBApy6bRT85FZ+1LBfmIRfmIRfmIQ9mIRfmYbuzZ88CAFq0aOH0ZbPoJ6fiKUG5MA+5MA+5MA95MAu5MA/bbdy4EQDQpk0bpy+bRT85laenp6u7QBUwD7kwD7kwD3kwC7kwD9scOHAAv/76K7y8vDBmzBinL59FPzlVWVmZq7tAFTAPuTAPuTAPeTALuTAP2yxatAgAMHr0aNSrV8/py+eDVomIiIiIHEin06mX9jz22GMu6QOP9JNT8Y5/uTAPuTAPuTAPeTALuTAP661fvx6ZmZnw9fVFt27dXNIHFv3kVLzjXy7MQy7MQy7MQx7MQi7MwzrLly/H+PHjAQD333+/y+6JYNFPTqUoiqu7QBUwD7kwD7kwD3kwC7kwD8sdPnwYjz32GHQ6HcaNG4fFixe7rC8s+omIiIiI7EwIgZdeegmlpaUYNmwYPv30U5f+wcSin5yKz/aVC/OQC/OQC/OQB7OQC/OwzNtvv40tW7ZAo9HgnXfecfkZEhb95FS8+UcuzEMuzEMuzEMezEIuzMO8y5cvY9q0aQCuF/+xsbEu7hGLfnIy3vwjF+YhF+YhF+YhD2YhF+ZhXmFhIXQ6HQBg0qRJLu7NdXxOPxERERGRHeXn56vfX7p0yYU9+QeP9JNTeXhwl5MJ85AL85AL85AHs5AL86jaxYsXMXToUABA3759ER0d7doO/Y2pkVOVlpa6ugtUAfOQC/OQC/OQB7OQC/Oo2hNPPIHz588jNjYWa9eudfkNvHos+smpZNnx6TrmIRfmIRfmIQ9mIRfmYVppaSm2b98OAFizZg3q1avn4h79g0U/ORXv+JcL85AL85AL85AHs5AL8zDt4MGDKCwsRGhoKNq3b+/q7hhg0U9OxTv+5cI85MI85MI85MEs5MI8TNu1axcAoGfPntBo5HpeDot+ciqeEpQL85AL85AL85AHs5AL8zBOCIHNmzcDAHr16uXi3lTGop+cih8UcmEecmEecmEe8mAWcmEexn377bfYvn07PD09MWLECFd3pxIW/eRU+hdVkByYh1yYh1yYhzyYhVyYR2Wpqal48sknAQAvvvgiWrRo4eIeVcain5xKtuvbajvmIRfmIRfmIQ9mIRfmYejKlSto2bIlCgoK4OPjgylTpri6S0ax6CenEkK4ugtUAfOQC/OQC/OQB7OQC/MwtG/fPhQUFAAAfvzxR4SHh7u4R8ax6Cen4geFXJiHXJiHXJiHPJiFXJiHoaNHjwIAxowZg969e7u4N6ax6Cen4rN95cI85MI85MI85MEs5MI8DKWkpAAAmjdv7uKeVI1FPzkVn+0rF+YhF+YhF+YhD2Yhl9qeR25uLjIzM9G4cWNotVocOHAAANC0aVMX96xqLPqJiIiIiCxQWFiIdu3a4dy5c/Dx8UFgYCDS09Ph4eGBwYMHu7p7VWLRT07FU4JyYR5yYR5yYR7yYBZyqc15rFmzBufOnQMAFBUVoaioCB4eHnj33XdRr14913bODBb95FS1/ZSgbJiHXJiHXJiHPJiFXGpzHidOnAAA3HrrrVi8eDHS09PRokULhISEuLhn5vFBq0REREREFrjlllsAAHv27EFMTAy6du1aIwp+gEf6yclq8ylBGTEPuTAPuTAPeTALudTmPBITEwEALVu2dG1HbMCin5yqNp8SlBHzkAvzkAvzkAezkEttzuOvv/4CAPTq1cvFPbEeL+8hp1IUBYqiuLob9DfmIRfmIRfmIQ9mIZfanEePHj0AAB9//DHOnDnj4t5Yh0U/OVVt/qCQEfOQC/OQC/OQB7OQS23OY9y4cejbty/y8/MxYcIEV3fHKiz6yanKy8tr9WlB2TAPuTAPuTAPeTALudTmPDQaDZYtWwZPT08kJibi4MGDru6SxVj0k1NptdpafQOQbJiHXJiHXJiHPJiFXGp7HtHR0ejXrx8A4JdffnFtZ6zAG3nJqYQQru4CVcA85MI85MI85MEs5MI8gIyMDABAeHi4i3tiORb95FT8oJAL85AL85AL85AHs5BLbc8jKysLhw4dAgD07t3btZ2xAot+cqrafDpQRsxDLsxDLsxDHsxCLrU9j99++w1CCMTGxqJBgwau7o7FWPSTU9XWG39kxTzkwjzkwjzkwSzkUtvz8PHxAQDodDoX98Q6vJGXiIiIiMhCLVq0gKIoOHv2LM6dO+fq7liMRT85VW2/4182zEMuzEMuzEMezEIutT2P+vXrY8CAAQCATz75xMW9sRyLfnKq2vxsXxkxD7kwD7kwD3kwC7kwD2DSpEkArr+Zt6ioyMW9sQyLfiIiIiIiKwwfPhyNGjVCRkYG1q5d6+ruWIRFPzlVbT8lKBvmIRfmIRfmIQ9mIRfmAXh4eKhH+xcuXOji3liGRT85FU8JyoV5yIV5yIV5yINZyIV5XDdhwgR4eXnhwIED2L9/v6u7YxaLfnIqRVGgKIqru0F/Yx5yYR5yYR7yYBZyYR7XhYeHY/To0QCADz/80MW9MY9FPzkVPyjkwjzkwjzkwjzkwSzkwjz+MWzYMABAcnKyi3tiHl/ORU5V015k4e6Yh1yYh1yYhzyYhVyYxz/S0tIAAI0aNXJxT8xj0U9OpdHw5JJMmIdcmIdcmIc8mIVcmMc/1q9fDwBo3bq1aztiARb95FRCCFd3gSpgHnJhHnJhHvJgFnJhHtcdOXIE27dvh1arxWOPPebq7pjFop+cih8UcmEecmEecmEe8mAWcmEe182fPx8AMHLkSDRp0sTFvTGPRT85VW1/rq9smIdcmIdcmIc8mIVcanseQgisWbMGy5YtAwA8++yzLu2PpVj0k1Pxub5yYR5yYR5yYR7yYBZyqc15nD17Fo899hh27NgB4PpR/u7du7u4V5apNUV/cnIyOnXq5Opu1Hr6D4rafpRAFsxDLsxDLsxDHsxCLrU5j5SUFGRnZwMAIiIikJKSgs6dO7u0T5Y+LrTWFP2FhYVISkpydTeIiIiIyA2kpaWpj+ysCdy+6I+Li3N1F4iIiIiIHMpczasI3oJNREREROTW+HYFIiIiIiI3x6KfiIiIiMjNsegnIiIiInJzLPqJiIiIiNwci35S5ebm4qWXXsJtt92GevXqQVEUzJw5s9J0CxYsQLdu3RAWFgZvb280adIE9913H44dO2Z0vgsXLkRcXBy8vb3RtGlTzJo1C6WlpZWm++ijjxAREYGwsDDMmjVLHZ6eng6NRoNJkyZVajNlyhQoioJ///vflcY9+uij0Gq16vN0axJLsigvL8e7776L22+/HY0aNYKfnx9atmyJadOm4erVq0bnyyxsY+nPxq5duzBhwgR06tQJ3t7eUBQF586dMzlf5mEbS/MAgKSkJAwcOBABAQEIDg7GyJEjcfbsWaPTMg/72b9/PwYNGoTAwEAEBASgf//++OWXX4xOa2lGx44dQ9euXeHn54fBgwfjr7/+UsfdcccdCAwMRFlZmUGbgwcPQlEUNGjQoNL8du7cCUVRsGDBgmqurfwOHjyIESNGIDIyEn5+foiLi8Prr7+OgoICg+mYhZsTRH9LSUkRderUEX369BETJkwQAMSMGTMqTTd9+nQxc+ZM8e2334rExESxdOlS0aJFC+Hv7y+OHz9uMO3s2bOFoiji3//+t0hISBBz584VXl5e4rHHHjOYbu/evSIsLEx89dVXYsOGDaJp06Zi7dq16vg2bdqIm266qVJf2rVrJ/z9/UXXrl0rjYuJiREdO3a0cWu4liVZ5ObmisDAQDFx4kSxdu1akZCQIN555x0REhIiWrVqJQoKCgymZxa2s/RnY+bMmSIqKkqMGDFC9OvXTwAQKSkpRufJPGxnaR7JyckiMDBQ9O7dW3z//ffim2++Ea1btxaRkZHiypUrBtMyD/vZv3+/8Pb2Fr179xbffvutWLdunejWrZvw9vYWu3fvNpjWmoxatmwpnn/+eZGYmCgefPBBMXToUHXc22+/LQCIPXv2GLR59913hb+/vwAgkpOTDca9/vrrAoA4fPiwnbeAXI4dOyZ8fHxE+/btxerVq8X27dvFjBkzhFarFcOGDVOnYxbuj0U/qXQ6ndDpdEIIIdLT003+IjXmjz/+EADEa6+9pg7LyMgQPj4+YuLEiQbTvvHGG0JRFHHs2DF12Lx588Rzzz2n/n/+/Pli8uTJ6v+ffvppAUBcunRJHZaZmSkURREvvPCC8PDwEDk5Oeq4CxcuCADi+eeft2zlJWNJFmVlZSIjI6NS27Vr1woA4osvvlCHMYvqsfRno7y8XP1+3rx5Jot+5lE9luZxzz33iLCwMHHt2jV12Llz54Snp6d46aWX1GHMw74GDRok6tevL/Lz89VhOTk5IiwsTPTo0cNgWkszSk9PFyEhIer/r127JgICAtT///bbbwKAeOuttwzmP2zYMPHAAw+IBg0aiEWLFhmMGzBggAgLC1P3JXf1yiuvCADi9OnTBsMnTpwoAIisrCwhBLOoDXh5D6kURYGiKDa1rVevHgDAw+Of973973//Q1FREcaNG2cw7bhx4yCEwPr169VhzZo1w/fff48TJ07gwoULWLNmDW666SZ1fP/+/QEAiYmJ6rCffvoJHh4eeOGFFwBcPz2ol5CQYNCuprEkC61Wi7p161Ya3qVLFwDAhQsX1GHMonos/dnQaCz7SGUe1WNJHmVlZdi0aRNGjRqFoKAgdXhUVBT69++Pb7/9Vh3GPOzrl19+Qb9+/eDn56cOCwwMRJ8+fbB7925cunQJgHUZhYaGQlEUrFixAjk5OVi0aJHBdr/55psREhJisN11Oh127tyJfv36oW/fvuq2BoCSkhLs2bMH/fr1s/n3Xk3h6ekJAKhTp47B8ODgYGg0Gnh5eTGLWoJFP9msvLwcxcXFOH78OCZMmIDw8HCDX5pHjx4FALRt29agXYMGDRAWFqaOB4ARI0aga9euiIuLQ5MmTRAaGoqJEyeq4/v27QuNRmPwQZGQkIDOnTujfv366NSpk8EHTEJCArRaLXr37m3v1Zbejh07AACtW7dWhzELuTAPxztz5gwKCwvRrl27SuPatWuH06dPo6ioCADzsLeSkhJ4e3tXGq4fduTIEQDWZaTRaLBkyRJMmjQJderUwcKFC7F48WJ1eo1Ggz59+mDXrl3qteSHDh1CdnY2+vbti77k6MnJAAA2eElEQVR9++Knn35Sp9+7dy8KCwvd6o8tU8aOHYvg4GBMmjQJZ8+eRW5uLjZt2oT//ve/eOqpp+Dv788sagkW/WQzf39/+Pj4oGXLlkhOTkZiYiIaN26sjs/MzIS3tzf8/f0rtQ0NDUVmZqb6f0VR8Pnnn+PixYs4f/48NmzYAC8vL4Pp27VrZ/DLMjExEX379gWASkcOEhMT0alTJ4MjFrXBxYsXMW3aNHTu3Bl33HGHOpxZyIV5OJ5+G4aGhlYaFxoaCiGEeuMs87CvVq1aYe/evdDpdOqwsrIy7Nu3D8A/2ViTEQDcddddSEtLQ3JyMlJSUtC5c2eDNv3790d+fj4OHDgA4Pq2bdCgAVq0aIG+ffviypUr6gMn9PnUhkIzOjoae/bswdGjR9GsWTMEBQXhzjvvxNixYzF//nwAzKK2YNFPNtu9ezf27NmDFStWIDAwEP3796/0BJ+qTtUZGxcZGYkmTZoYnb5///44efIk/vrrL2RmZuLo0aPo168fgOu/SA8ePIhr164hNTUVKSkpte4DJCsrC0OGDIEQAqtXr650qQmzkAvzcA5LtzPzsJ+nn34aJ0+exOTJk3Hx4kVcuHABTzzxBM6fPw+g8mVw1mx7f39/xMXFGfyhpXfjpVUV/9hq2bIlwsPD1T+4EhMTUb9+fbRs2dK2laxBzp07hzvvvBN169bF119/jZ9++glz587FsmXLMGHCBINpmYV7Y9FPNuvYsSO6deuGMWPGICEhAUIIvPzyy+r4unXroqioqNIjwYDrBaqxIwpVqfghkpiYCK1Wi549ewIAevXqBeD6tbLueI2sOdnZ2bj11ltx8eJFbN26FTExMQbjmYVcmIfj6e93qXiUXi8rKwuKoiA4OFidlnnYz/jx4/F///d/+OKLL9CoUSM0adIEf/zxh3pPQ8OGDQFYl5El2rZti7CwMCQkJKjXkOsLTQDo06cPEhMTUVxcjD179rjddjdl2rRpyMnJwZYtWzBq1Cj06dMHL774It5//30sXboUP/30E7OoJVj0k10EBgYiLi4OJ0+eVIfpr4/VX7+pl5aWhoyMDLRp08aqZfTp0wdarVb9RdqxY0cEBAQAAIKCgnDzzTcjISEBiYmJ8PDwUH/Jurvs7GwMHDgQKSkp2Lp1q9FrMpmFXJiH4zVr1gy+vr6VtjFwfbvHxsbCx8cHAPNwhKlTpyIjIwNHjhzBuXPnsHv3bmRnZ8Pf3x+dOnUCYF1GllAUBX379sXu3buxf/9+XL161aDQ7Nu3LxITE7Fnzx4UFRXVmkLz0KFDaNWqVaXL1+Lj4wFAveyHWbg/Fv1kF/oP99jYWHXY7bffDh8fHyxbtsxg2mXLlkFRFIwYMcKqZdSpUwcdOnRQf5HqT5fr6a+VTUxMRJcuXdRfsu5MX/CfPXsWP/74Izp06GB0OmYhF+bheB4eHrjzzjuxbt065ObmqsNTU1ORkJCAkSNHqsOYh2N4e3ujTZs2iIqKQmpqKlavXo3HHnsMvr6+AKzLyFL6a8nnzZuH8PBwg0tG+vbti8zMTCxcuFCdtjaIjIzEsWPHkJeXZzB8z549AIBGjRoxi9rCZQ8LJSlt3rxZrF27VixdulQAEPfcc49Yu3atWLt2rcjPzxdXr14V8fHx4r333hObNm0S27dvFx999JGIi4sTfn5+4sCBAwbz07/w5uWXXxaJiYli3rx5wtvbu9ILbyz14osvCgBCURTx/fffG4z77rvvhKIoAoB45ZVXbN4GsjCXRUFBgYiPjxeKooj58+eLPXv2GHzd+ExmZlE95vIQQogrV66owx5++GEBQCxatEisXbtWJCYmGsyPeVSPJXkkJyeLgIAA0adPH7F582axbt060aZNmypfzsU8qu/IkSNi5syZYtOmTWLr1q3i7bffFmFhYaJz584iNzfXYFprMrLEsWPH1O1+zz33GIzT6XSibt26QlEU0bBhw2qtY02i39+6deumvpzrjTfeEAEBAaJVq1aiuLhYCMEsagMW/WQgKipKADD6lZKSIoqKisSECRNEy5YtRUBAgPDw8BCNGjUSDz74oMELbCqaP3++aNGihfDy8hJNmjQRM2bMECUlJTb1b/PmzQKA0Gq1Bi8QEUKIrKwsodFoBACxdetWm+YvE3NZpKSkmBwPQIwdO7bSPJmF7czlIYQQCQkJJqfp27dvpXkyD9tZkocQQvz666/illtuEX5+fiIoKEiMGDGi0h/EeszDPk6cOCH69OkjQkNDhZeXl4iNjRWvvvqqyMvLMzq9NRlZIiIiQgAQH3zwQaVxI0aMEADEmDFjbJ5/TbRjxw5x2223iYiICOHr6ytatGghnn/++UoveGQW7k0RQojqny8gIiIiIiJZ8Zp+IiIiIiI3x6KfiIiIiMjNsegnIiIiInJzLPqJiIiIiNwci34iIiIiIjfHop+IiIiIyM2x6CciIiIicnMs+omIiIiI3ByLfiIiIiIiN8ein4iIiIjIzbHoJyIiIiJycyz6iYiIiIjcHIt+IiIiIiI3x6KfiIiIiMjNsegnIiIiInJzLPqJiIiIiNwci34iIiIiIjfHop+IiIiIyM2x6CciIiIicnMs+omIiIiI3ByLfiIiIiIiN8ein4iIiIjIzbHoJyIiIiJycyz6iYiIiIjcHIt+IiIiIiI3x6KfiIiIiMjNsegnIiIiInJzLPqJiIiIiNwci34iIiIiIjfHop+IiIiIyM2x6CciIiIicnMs+omIiIiI3ByLfiIiIiIiN8ein4iIiIjIzbHoJyIiIiJycyz6iYiIiIjcHIt+IiIiIiI3x6KfiIiIiMjNsegnIiIiInJzLPqJiIiIiNwci34iIiIiIjfHop+IiIiIyM2x6CciIiIicnMs+omIiIiI3JyHqzvgaGPGjMHx48dd3Q0iIiIiIoeJi4vDypUrTY53+6L/+PHjSEpKcnU3iIiIiIhcxu2Lfj0NtPBHIACl6gkVk/+pNEgxM97sCEumNdNdm6Y1O13FJlZMbGJSYdW6m5uvNflZThhtZ2JmNvfdyHKrO39bl2VNrhbO3/SyrF+Uze0qtDG6bZ2wXFPsmnU12xvf3+29PDMJuGg7W7dYYUsjixdmOFqYGmH9IgwGCuODzbQzPq2ZeZlsXzkVc7/+FBP7j7l1UBQrlmVmfRQj29GSaIz13dRHrtFpDf5nro/VbG/JdlaqXvdqr4OJff+fb423NzfeeH9snNaKcsD4MOMzMN9eMTHccL7Jp0pQWGT+t16tKfr9EYiuykBA+ec2BkWj/3QxMuyG4VCnrRCApsJ4/XBjwyq2B6Do52uwLBPf6+dnaryxZSiWr4M18xIG4//5Vp3GxLzUdsbaWDmtQR8UI+ONtDMocIy1N7Fco8uqOD+DfsHotPrtaGq8NfOyalqNkWFGtoPZZVUYbt205radY5ZrdjwqfIyb3c7m52WujzbN15LlWtgv65Yrqh5f4XtLlqufn8k/MIz20UTha3S/MT6tuXkpxuZhcjtXHq+YnK+xaY33Vz+tYma+FYcZ/vhWPS+NkfHWTquBZdOabG90XibGG/neWHuT480s13C8zqZptfrlwvy8tOq8TIw3WK7OSHtT7XSV+qA1WIbOYPmV1sHIcJPLQsV1N7Pcv6fVmlwHXaXhxrbBjfPVT2tquep2Ntm+8n5hsF5Gxlccbjgextupy604XjEyvuIwxcS0ipFpNcbb/V3b6cfH35aKpCPFMIc38hIRERERuTkW/UREREREbo5FPxERERGRm2PRT0RERETk5lj0ExERERG5ORb9RERERERujkU/EREREZGbY9FPREREROTmWPQTEREREbk5Fv1ERERERG6ORT8RERERkZtj0U9ERERE5OZY9BMRERERuTkW/UREREREbo5FPxERERGRm2PRT0RERETk5lj0ExERERG5ORb9RERERERujkU/EREREZGbY9FPREREROTmWPQTEREREbk5Fv1ERERERG6ORT8RERERkZtj0U9ERERE5OZY9BMRERERuTkW/UREREREbo5FPxERERGRm2PRT0RERETk5lj0ExERERG5ORb9RERERERujkU/EREREZGb83B1B5wlH7nYJ7YBQvlnoM7IhIrJ/1QapJgZb3aEJdOanKYa05qdrmITKyY2Mamwat3NzddMQ2vmW4Ew2s7EzGzuu5HlVnf+ti7LmlwtnL/pZVm/KJvbVWhjdNs6Ybmm2DXrarY3vr/be3lmEnDRdrZuscKWRhYvzHC0MDXC+kUYDBTGB5tpZ3xaM/My2b5yKuZ+/Skm9h9z66AoVizLzPooRrajJdEY67upj1yj0xr8z1wfq9neku2sVL3u1V4HE/v+P98ab29uvPH+2DitFeWA8WHGZ2C+vWJiuOF8k0+VGO/gDWpN0a9DOXJx1fyE5ioFmysJIiIiIiLXcPuiPy4uzuD/ycnJKCwshK+vL1q2bOmiXrk/bmfn4HZ2Dm5n5+G2dg5uZ+fgdnYObufrbqx5b6QIIWrVsetOnTohKSkJHTt2xG+//ebq7rgtbmfn4HZ2Dm5n5+G2dg5uZ+fgdnYObmfL8EZeIiIiIiI3x6KfiIiIiMjNsegnIiIiInJzLPqJiIiIiNwci34iIiIiIjfHop+IiIiIyM2x6CciIiIicnMs+omIiIiI3ByLfiIiIiIiN8ein4iIiIjIzXm4ugPONnHiRFy6dAkNGjRwdVfcGrezc3A7Owe3s/NwWzsHt7NzcDs7B7ezZRQhhHB1J4iIiIiIyHF4eQ8RERERkZtj0U9ERERE5OZY9BMRERERuTkW/UREREREbs4tiv6ZM2dCUZQqvxYvXmy0bWlpKebNm4f27dvD398foaGhGDBgANatW+fktZBDWloaVqxYgSlTpqBnz57w8/ODoijo3Lmz2bbV2ZZnz57F+PHj0ahRI3h7e6Nx48Z49NFHkZKSYo/Vko6t2zk6Otrsvl5UVGSyfW3azkII7N69G9OmTUOvXr1Qt25deHp6ol69erjtttuwcuVKVPUcA+7PlqnOdub+bL2NGzfiqaeeQrdu3dCoUSP4+PggICAAbdq0wbPPPovz58+bbMt92nK2bmfu09WzefNmdTtFR0ebnI77so2EG5gxY4YAIMLDw0XPnj2Nfq1fv75Su8LCQtGrVy8BQGi1WtGuXTvRrFkzAUAAEFOnTnXB2rjWe++9p65/xa9OnTpV2a4623L37t0iICBAABAhISGiU6dOIjg4WAAQgYGBYt++ffZeTZezdTtHRUUJAKJNmzYm9/Xi4mKjbWvbdt62bZvBto2JiRGdOnUSoaGh6rChQ4eKoqKiSm25P1uuOtuZ+7P1+vbtKwAIT09P0aRJE9G5c2cRHR0tNBqNACD8/PzEli1bKrXjPm0dW7cz92nb5eTkiMaNG6v7ZFRUlNHpuC/bzq2K/rFjx1rV7plnnhEARNOmTcXx48fV4d99953w9vYWAMSGDRvs3Fu5ffrpp2LgwIFi2rRp4uuvvxZvvvmmRcWordsyPz9fNGjQQAAQ48ePF4WFhUKI6z/U48aNEwBEo0aNREFBgX1X1MVs3c76XygJCQlWLa82buetW7eKpk2bivnz54vLly8bjPv888/V/dLYLwjuz5arznbm/my95cuXi23btlX6I+r06dOiT58+AoAICwsTeXl5BuO5T1vH1u3Mfdp2kyZNEgDEiBEjqiz6uS/brtYW/WlpacLLy0sAEDt27Kg0/rXXXhMARMeOHe3Y05rns88+M1uMVmdb6o94x8bGVjr6UVxcrP71vmDBguqvjMQs2c5C2P4LpTZu52vXromSkhKT49944w0BQISGhory8nJ1OPdn69i6nYXg/mxvaWlp6tHOzZs3GwznPm0/prazENynbbVz506hKIq466671N+Hxop+7svV4xbX9Ntiw4YNKCkpQWxsLPr3719p/OOPPw4ASEpKwpkzZ5zdvRqlOtty7dq1AIBHHnkEXl5eBuO8vLwwbtw4AMCaNWsc0fVaozZu56CgIHh6epocP3jwYABAVlYW0tPT1eHcn61j63aujtq4nS1Rv359hIaGAgAKCgrU4dyn7cvUdq6O2rydi4qKMGHCBAQEBGDhwoVVTst9uXrcquj//fff8cADD2DAgAEYPnw4XnvtNRw7dszotHv37gUA9O7d2+j4hg0bomnTpgbTknG2bsvy8nL8+uuvVbbVDz9w4ADKy8vt1ueabvHixbjjjjtwyy23YMyYMVi8eDFyc3ONTsvtbFzFm+l8fX3V77k/25ep7VwR92f7SE5ORlZWFjQaDTp06KAO5z5tX6a2c0Xcpy33+uuv48SJE3jzzTfRsGHDKqflvlw9blX0Hzp0CF9++SUSEhKwYcMGzJ49G23btsVzzz1XKcCTJ08CAGJjY03Or1mzZgCAEydOOK7TbsDWbXnu3DmUlJRU2Vbfrri4uMqnUtQ2q1evxvfff48dO3Zg1apVmDRpEmJiYrB169ZK03I7G/fll18CANq3b4+goCB1OPdn+zK1nSvi/mw7IQSuXLmCdevWYdiwYQCAF154ATExMeo03Kerz5LtXBH3acscOnQI8+bNQ5cuXfDkk0+anZ77cvW4RdEfERGBl156CXv37kV6ejqKiopw+PBhPPHEExBC4P3338fLL79s0CYrKwsA1FN0xujHZWdnO67zbsDWbalvV1XbisOZA9CjRw98/PHHSE5ORn5+PrKzs7Fx40Z06NABGRkZGDZsGJKSkgzacDtXlpSUpD7Gd9q0aQbjuD/bT1XbGeD+XB0rVqyAoijQaDSoX78+Ro0aBQ8PD6xcuRJz5swxmJb7tO2s2c4A92lrlJeX49FHHwUAfPzxx9BozJek3Jerx8PVHbCHJ554otKwtm3b4qOPPkLTpk0xdepUvPvuu5g0aZL63Ff9Kecbr+uqyNvbGwBQWFho/067EVu3ZcXT/qba6tvd2La2WrVqlcH//fz81FPIvXr1QlJSEqZOnWpwNInb2dDly5dx1113obS0FHfddRfuu+8+g/Hcn+3D3HYGuD9XR3h4OHr27AmdToc///wTFy9exMmTJ7Fy5Ur06dMHjRo1UqflPm07a7YzwH3aGm+//TaSkpLw0ksvoX379ha14b5cPW5xpL8qzz//PCIjI1FWVoaNGzeqw318fABAPd1jTHFxMQDT16HSdbZuS327qtrq293Ylgz5+vrijTfeAADs2LEDV69eVcdxO//j2rVrGDx4MFJTU9GpUycsW7as0jTcn6vPku1cFe7P5t12223YtWsXdu/ejdTUVJw6dQrDhg3D5s2b0a1bN1y7dk2dlvu07azZzlXhPm3o1KlTmDlzJpo2bYoZM2ZY3I77cvW4fdGv1WrRtWtXAP9cCwYAISEhAAxP+dxIP04/LRln67as+L2pthWHM4eq9ejRAwCg0+kMnlrA7XxdXl4ebr/9dhw8eBCtW7fGli1bjF5jzv25eizdzuZwf7ZOTEwMvv76a7Ru3RoXL17EBx98oI7jPm0/VW1nc7hP/+OJJ55AUVERPvroI/j5+Vncjvty9bh90Q/8cyqnrKxMHdaiRQsAwOnTp0220/9Q6qcl42zdltHR0Wo2ptrq23l7eyMqKsou/XVXFU9ZVtzXuZ2vP1Zv6NCh2Lt3L1q0aIFt27ahbt26Rqfl/mw7a7azOdyfrafVatVHpOqfVAJwn7Y3U9vZHO7T//jtt9+gKArGjh2LiIgIg68pU6YAAC5cuKAO2717NwDuy9VVK4r+o0ePAoDBtXfdunUDAOzatctom4sXLyIlJcVgWjLO1m3p4eGBTp06AQB27txptK1+eHx8PLRard367I70+zkAg8ee1fbtXFRUhOHDh+Pnn39GdHQ0tm/fjoiICJPTc3+2jbXb2Rzuz7YpLS0FcP1osh73afsztp3N4T5tSAiBy5cvV/rKyckBcH3b6ofpL8nhvlxNrn03mONt2rRJfXPe/v371eFpaWnC09PT7FvdOnTo4MzuSsfSN/Laui3feecd9Q15N77Vs+Ib8ubPn1/9lZGYpW/krco999wjAIhWrVpVGldbt3NJSYkYMmSI+nr1s2fPmm3D/dl6tmxnc7g/W6/ius+YMUMdzn3avkxtZ3O4T1vG3Bt5uS/brsYX/UePHhUTJ04Uhw4dMhheXl4uVq1aJYKCggQAMXTo0EptJ0+eLACIpk2biuPHj6vDN2zYILy9vQUAsX79eoevg8wsLUZt3ZZ5eXkiIiJCABDjx48XhYWFQgghCgsLxbhx4wQAERkZKfLz8+27YpKxZDvPmzdPLFiwQGRkZBgMz8jIEBMnTlT/uF27dm2ltrVxO5eVlam/ZCMiIsTJkyctbsv92XK2bmfuz9Y7cOCAePXVV41u4xMnTojbbrtNABABAQHizz//NBjPfdpytm5n7tP2UVXRLwT35eqo8UX/wYMH1R+k0NBQ0aFDBxEfHy9CQkLU4b179xbZ2dmV2hYUFIju3bsLAEKr1Yr27durf+kBEM8//7zzV8jFUlNTRd26ddWvgIAAAUB4eHgYDJ8zZ45Bu+psy127dgl/f38BQISEhIhOnTqp+QUEBIg9e/Y4erWdzpbtPGXKFAFAKIoimjZtKrp06SLatm0rPDw8BACh0Wgq5VJRbdvOq1atUve/6Oho0bNnT5NfSUlJBm25P1vO1u3M/dl6CQkJ6rauV6+e6Nixo+jatato0qSJwe/B7du3V2rLfdpytm5n7tP2Ya7o575suxpf9GdnZ4vZs2eLoUOHipiYGBEYGCg8PT1F/fr1xeDBg8UXX3whysrKTLYvLi4Wc+bMEW3bthW+vr6iTp06om/fvuLrr7924lrIIyUlRf3BqerL2CnN6mzL06dPi7Fjx4rIyEjh6ekpIiMjxSOPPCLOnDnjgLV0PVu28549e8QzzzwjunXrJiIjI4W3t7fw8/MTLVq0EI899pg4ePCg2eXWpu2s/8VhyVdCQkKl9tyfLWPrdub+bL2srCyxYMECMXLkSNG8eXMRFBSkHijo1auXmD17tkhPTzfZnvu0ZWzdztyn7cNc0S8E92VbKUIIASIiIiIiclu14uk9RERERES1GYt+IiIiIiI3x6KfiIiIiMjNsegnIiIiInJzLPqJiIiIiNwci34iIiIiIjfHop+IiIiIyM2x6CciIiIicnMs+omIiIiI3ByLfiIiIiIiN8ein4iIiIjIzbHoJyIpKYoCRVGQmJjo6q64THR0NBRFwbJlyyqN4/ZxrH79+qnbWP/1/vvvu7pbREQ2Y9FP5CTZ2dnw8fFRC4hTp06ZbbNs2bJKhYf+y9fXF9HR0bj33nvxww8/mJzHuXPn1DbGikdzHnnkESiKgujoaKvaXb16Fd999x2mT5+OO+64Aw0aNKhWP+xNX1Df+BUQEIC4uDiMGzcOe/fudXU3ycX8/f1Rv3591K9fH/7+/urwo0ePqvvMN998Y7L9Dz/8oE7Xv3//Kpd10003QVEUPPDAA3brv7Pk5eVh9erVmDBhAtq3b4/AwEB4eXkhIiICt99+O5YtW4aysjJXd9MmBQUF+OGHHzB79myMHDkSUVFRaqYzZ850dfeILObh6g4Q1RYrV65EcXGx+v+lS5firbfesrh9WFgYtFotAEAIgaysLJw/fx7nz5/H2rVrMW7cOCxdutTu/bbV+vXrMW7cOFd3wywfHx/UqVMHwPXtmpGRgRMnTuDEiRNYvnw5Zs6cienTp7u4l5XddNNNAAA/Pz8X98S9vfDCC0YLu9atW6NevXpIT09HQkICRo0aZbR9xTMxe/bsQVFREXx8fCpNd+nSJZw8eRIAzP5xIKMOHTrg9OnT6v+9vLzg4+ODy5cvY8uWLdiyZQsWLVqE77//HvXq1XNhT623f/9+DBkyxNXdIKo2HukncpJPP/0UAPD0008DAJYvX47y8nKL2x84cABpaWlIS0vD5cuXUVxcjEOHDuHWW28FAHz22Wf48ssv7d/xaoiIiMDgwYPxyiuvVHk01JVGjx5tsF2LioqQkJCANm3aQAiBGTNmYPv27a7uZiXHjx/H8ePH0aVLF1d3pVZSFAX9+vUDgCovsdKPi4iIQHFxscmzRxXnUROL/tLSUrRq1Qrz5s3DsWPHUFxcjJycHFy6dAlTp06FVqvFgQMHMGrUKAghXN1dq4WEhOCWW27Biy++iC+//BIRERGu7hKR1Vj0EzlBUlISDh06hODgYMydOxcxMTG4dOlSlZflmKPRaNC+fXt8++236pHq9evX26nH1ffggw/i0qVL2Lx5s3pavCbw9PREv3798N1338HD4/rJUP0fbEQV6YvzY8eOIT09vdL4vLw8JCUlISAgAJMmTQIAJCQkGJ2XfnijRo0QGxvroB47zrJly3D06FG88MILaNWqlTo8IiIC//d//4fZs2cDAHbu3IlffvnFVd20Se/evZGVlYVt27Zh7ty5uO++++Dt7e3qbhFZjUU/kRPoi8bRo0fDx8cHDz30kMHw6vD391eLhLy8vGrPz170BbM9pKWlYfLkyWjatCl8fHwQERGBMWPG4Pjx43Zbxo1iYmLQokULANeLOmOSkpLw+uuvo0+fPoiKioKPjw+Cg4PRrVs3zJkzx2wehYWFmD17Nlq1agVfX1+Eh4djyJAhFp1ZqOpG3hMnTmDevHkYOHAgmjVrBl9fXwQFBaFDhw549dVXkZGRYXK+FW8eLikpwbx589C+fXv4+/ujTp06GDBgAP73v/+Z7d++ffswbtw4xMbGwt/fH0FBQWjVqhXGjx+PH3/80WS79evXY8SIEYiMjISXlxdCQkLQp08fLF68GKWlpSbbrVmzBoMHD0b9+vXh6emJ4OBgNG/eHMOGDcOHH36IoqIis322VsUj8sZy2LlzJ8rKytCzZ08MHDjQ5HQVh1t7lL/iPTvnzp3D+fPn8dhjj6FJkybw8fFBs2bN8OqrryI/P19tc/ToUTz44INo3LgxfHx80Lx5c8yePbvK7WuO/sZnUx599FH1+wMHDti0DGsz1t+P9Mgjj0AIgSVLlqBXr16oW7euVfcW6S+rJKrxBBE5VGFhoQgODhYAxC+//CKEEOLMmTNCURTh4eEh0tLSTLb97LPPBAABQKSkpBidJj8/X9SpU0cAEM8991yl8SkpKeo8PvvsM6v7P3bsWAFAREVFWd32Rtb0Qz/t0qVLRUREhAAgfH19RUBAgDrOx8dH/PDDDzb1JSoqSgAQY8eONTlNy5YtBQDRunXrKvsIQGg0GjVn/VerVq3E5cuXjbbNzMwUHTp0UKf18PBQ2yuKIhYtWqT20dj20rdLSEgwuW76eQUHBwtFUdRhDRs2FMePH69yuyxcuFB07dpVABCenp4G211RFPHpp58abV9WViaeeeYZg+3g7+8v/Pz81P/XqVOnUrvc3Fxxxx13GLQLCgoy6Hf37t1FVlZWpbbjx483aBcQEGCwvKp+fkzp27evACBmzJhR5XQNGjQQAMSTTz5ZadxLL70kAIg333xTlJSUCD8/P+Ht7S0KCgoMprt48aLB/m6Nij/f33zzjboPBQUFCa1Wq47r3bu3KCkpEZs2bVK3TZ06dQy27+jRo61atjVycnLU5cybN8/q9rZkrP/sevjhh8Xdd9+t/pyGhIQIjUZj0+ehnv7nxNz+QSQTHukncrBvvvkGV69eRWxsLHr06AHg+lHkXr16oaysDF988YVN8xVC4MiRIxg1ahSuXbsGX19fPPXUU/bsuhSee+45eHl54ccff0R+fj5yc3Oxb98+tG3bFkVFRRg9ejT+/PNPuy/37Nmz6hOWYmJijE4zcOBALF26FOfPn0dxcTGys7NRUFCAdevW4aabbsIff/yBJ554wmjbCRMm4ODBg/D29sbixYuRm5uL7OxsnDt3DiNGjMCUKVOMXjJiiW7dumHhwoU4ffo0ioqKkJ2djaKiImzbtg1dunTBxYsXzT4hZvr06fjzzz+xfv16dbsfP34c3bp1gxACU6ZMwbVr1yq1e/nll7FgwQIAwPjx43HixAnk5eUhPz8fly9fxvr163H77bdXavfQQw9h06ZNiI2NxapVq5CTk4Nr166hoKAA3333HWJiYrBnzx6MHz/eoN2uXbuwdOlSaDQazJkzB5mZmcjNzUV+fj4yMjKwZcsWjB07Fl5eXjZtS3P01/Ubu2xHf/S+X79+8PT0RPfu3VFcXIw9e/YYTFexbXWu53/00UfRqVMnHDt2DNeuXUNubi4WLFgArVaLnTt34vXXX8eYMWNw55134ty5c7h69SpycnLwyiuvAABWr16Nbdu22bz8qlQ8w9G2bVur2lY343Xr1mH9+vV4++23kZ2djaysLFy7dg2DBg2qzioR1Tyu/quDyN31799fABCvv/66wfBPPvlEABBxcXEm21Y80h8WFibq16+vfnl6eqpHu0eMGCF+//13o/Oo6Uf6vby8xB9//FFp/OXLl0VoaKjJo6zmmDrSX1JSIhISEkSbNm3UPqxbt87q+f/555/C29tbKIoizp8/bzBu37596ryNHTEvKysTvXr1qnJ76ccZO9JfldzcXFG/fn0BQOzcubPSeP128fb2FsnJyZXGX7lyRfj4+AgAYsWKFQbjTpw4ITQajQAgXnrpJYv7tGnTJgFAREREiD///NPoNBcuXBD+/v4CgDh48KA6fM6cOQKAuO222yxeniUsPdL/8ccfq1lUPGuXk5MjPDw8hL+/vygpKRFCCPH6668LAOK1114zmMeECRMEABEdHW11Pyv+fLdu3VoUFRVVmuahhx5Sp7n11luFTqerNE3v3r0FAPHoo49a3QdzSkpKRLt27QQAERMTo24PS9masf6zC4BYsGCBVW3N4ZF+qol4pJ/Igc6ePYvExEQoiqJex6937733wtfXF8ePH8fu3bvNzisjIwOXL19Wv/TX3xYXF+Pq1av466+/HLIOrnbPPfegZcuWlYaHh4erR9FXr15t8/xXr16NiIgIREREoH79+vD19UX//v1x9OhRAMAzzzyDESNGWD3fhg0bon379hBCVMr3q6++AgA0btzY6GNNtVotXnvtNetXxgIBAQHo27cvgOtHUE25++67ERcXV2l4vXr10L17dwDA4cOHDcYtX74cOp0OdevWxaxZsyzu05IlSwBcP9rfsGFDo9M0atRIPQq+ZcsWdXhwcDAAID093aqnYdmL/kg/YHg0W389f48ePeDp6QkA6na/8ayA/v/VfWrPc889Z/QG04pHtKdNm2b02nv9NDdmag9TpkzB4cOHoSgKPvzwQ3V7WKq6GYeEhODxxx+3uh2Ru2HRT+RAS5cuhRACvXv3rvRyq6CgILWYtOT5+ikpKRBCqF/FxcVITk7Giy++iJ9//hlDhw7FokWLHLAWrjVgwACz4zIzM5GSkmLT/IuKitQ/pK5cuaIWFd7e3li3bh3mz59v8gZFnU6HVatWYdiwYWjSpAl8fX0NXvS1f/9+AKh0+dGvv/4KoOqbH/v06VOtm6E3bdqE0aNHIyYmBv7+/gb9WrNmjdF+VdS1a1eT4yIjIwEAWVlZBsP1f9zceuutRp9Fb4r+j4+PP/5Y/QPM2Jf+0pPz58+rbQcOHAgfHx8cPHgQvXv3xqeffmrzvmCL5s2bo1GjRgAMi3799/pCH7i+TX18fLB//34UFhYCAC5evIgzZ84AqHpft4Spx7fWr19f/T4+Pr7KabKzs6vVhxu98847+OijjwAAr732mtFLu8ypbsbx8fEOu7yLqCZh0U/kIDqdDsuXLwcAPPzww0anGTt2LIDrR5utffKOl5cX4uLiMGfOHDz77LPQ6XSYMmWKWkC4C1NHfm8cd+XKFZvmP3bsWPUPqaKiIhw5cgTjxo1DcXExnnjiCZNP7ikoKMDAgQMxZswYbNy4ERcuXIBOp0NoaKj6Blf9Ec2KT06p2Neq1s3Hxwd169a1en10Oh0eeOAB3HnnnVizZg1SUlJQUlKCkJAQtV/6gvzGflUUGBhocpz+j5Ebn/aSlpYGAIiKirK4v6WlperThK5du2ZwNuvGL/3TWQoKCtT2MTExWLJkCQICArBnzx5MmDABMTExCA8Px+jRo/Hdd985/Lnwxp7XX/F6fj1vb2907doVJSUl6h9IFY/6V5zWFqYyq/jHo7lpbsx05MiRRv8AM/XHQ0ULFy7ECy+8AAB49tlnrTr7U1F1Mw4PDzc6PD4+3ui61ZTHCxNZi0U/kYNs2bJFPZI6YcIEgyOt+i/9Ua+8vDz16KstJkyYAAAoKyvD2rVrq995iVT1GEB78/b2Rps2bbB06VI88sgjuHLlCu6++271qGxFb7zxBhISEuDr64v33nsP58+fR1FRETIzM9WXfemPlpsqSByxbp9++im+/PJLaLVaTJ8+HadOnUJxcTGysrLUft19991V9qu6rFmvipdrfPXVVwZns0x93fioxTFjxuD8+fNYvHgxRo8ejcaNGyM9PR1r1qzBiBEj0LdvX+Tk5Nhr9SrRX5Zz/PhxpKWlITc3F0lJSfD19a1UHN94iY/+34pnDGSSlZVl9A8wczeZf/DBB3jmmWcAAJMnT8Z7771XrX5UJ2NTj9xMT083um43nsEichcs+okcxNpn8FtyiY8pFY+sOvPSBmeo6hKUixcvqt+bOppnq3fffRd16tTB8ePH8f7771car78uf/r06Xj22WfRpEmTSsWu/sj3jfR9rWrdiouLkZmZaXW/9f2aMGECZs2ahdjYWGg0hh/1pvpVXQ0aNABw/dnxlvLx8VFfLnfkyBGblx0aGorHH38cX331FVJTU3H69Gn1+vWdO3di5syZNs/bnBuf179z506Ul5ejR48elS4r0Rf9+jMBtj6f31kSExON/uFVVcYLFy5U3zw+efJkLFy40C59sXfG586dM7puVb1hmagmY9FP5ADp6enYsGEDAODrr79Gbm6uyS/9dd+//PKLzS+bqlg8+vv7V38FJGLqDaYVx4WGhqJp06Z2XW5ISAieffZZAMD//d//VbrW+cKFCwCADh06GG1/7tw5nD592ui4zp07AwB++uknk0fbf/75Z5SVlVndb3P9ysvLw759+6yeryX0j6TdunWrVS/D6tmzJwBg7dq10Ol0dulLs2bN8NZbb6mPJt26datd5mtM06ZN1T+8ExISjF7Pr9e9e3d4eXlh//79OH78OM6ePQtA3qLfWgsXLlSP8D/11FN2K/iNcWbGRO6ART+RA3zxxRcoLS1FnTp1cOeddyIgIMDkV3x8vPqUFFuP9q9atUr9Xl9Quou1a9fixIkTlYZnZGTgv//9L4Drbzp2hGeeeQYBAQHIycnB22+/bTBOf3T6999/N9p22rRpJuer729qaqp630dFOp0Os2fPtqnP5vr1n//8B7m5uTbN25xHHnkEWq0WmZmZmDFjhsXtJk6cCAA4efIk5s2bV+W0+fn5KCkpUf9fXFxc5fS+vr4AHP9WVX3RnpiYaPR6/or9iY+PR2lpKd544w11eHWv55dBxYL/6aefxgcffGCX+cqSMVFNx6KfyAH0xfvw4cMtemrEPffcAwD4/PPPrTq6m52djffffx9vvvkmACA6OtphN6HpdDpkZGRU+XVjMXnjeL28vDyD4RVvzLyRj48Pbr/9dmzbtk09Kn7gwAEMHDgQGRkZCAwMrLLAro7Q0FD1saALFiwwWAf9/RizZ8/GunXr1NxSUlLwwAMPYM2aNQgJCTE6365du2LYsGEAgEmTJuGTTz5RC5vU1FSMHj0ae/bsgZ+fn9V91vfrk08+wccff6wWyGlpaXjuuecwd+5cm24QtkRsbCxefPFFAMDcuXMxYcIE9QVnwPUzYKtXr8Zdd91l0G748OHqsGnTpmHSpEk4efKkOr6kpAT79u3D1KlTERUVZXDT9uTJk3Hvvffim2++MRiel5eHxYsX4/PPPwcADBkyxP4rXIG+6D958iR+++03+Pj4mHyajv4MwJdffgkAaNmyJSIiIhzaP0f78MMP1YJ/ypQp6gva7EGGjLOzsw0+s/RnpAoKCgyGW/tABiKncvyrAIhqlz179qgvhNm4caNFbQ4fPqy2Wb9+vTq8qpdzhYaGCkVR1PFNmjQRR48erTRve72cy5Kv4cOHG7S1tJ2xF9zox3366aciIiJCABB+fn4iICBAHeft7S02bdpk9ToJYfrlXDe6dOmS+jKqF154QR1+7tw59SVXAISHh4eoU6eO+v8333yzyhc8ZWRkiPbt26vTe3p6iuDgYAFAKIoiPvzwQ7WP1rycKzs7W8TFxanjNRqNCA4OVveVxx9/XM3U2LpXtUy9qtqXlZWJp556yiDfgIAA4efnp/6/Tp06ldrl5+eL++67z6Cdv7+/CAkJUV/4pf+q+AKvG/fPgIAAdTvqv3r16iXy8vJMro8xlr6cSy81NdVgmf379zc57ZYtWwymteXlcnoVf75TUlKMTpOQkKBOY4r+s8bWl/BV/Cyq+Dll7OuZZ56xat62ZlzVfmot/c+FuS97LIvIUXikn8jO9Dfw1qlTB7fddptFbdq2bau+gMrUDcA3vpwrJycHdevWRb9+/fDuu+/i2LFjaN26tX1WQiIxMTE4ePAgnnrqKdSrVw8lJSUIDw/H/fffj4MHD2Lo0KEOXX5ERATGjx8P4PrRzIqPpfz111/x6KOPqs+t9/HxwR133IEtW7bg3//+d5XzrVu3Lnbv3o1Zs2YhLi4OGo0GHh4euP3227F161Y8+eSTNvU3ODgYu3fvxrPPPovo6GhotVp4eHigX79++PLLL7F48WKb5msprVaLDz74ALt27cKYMWPQpEkTlJaWwsvLC61bt8ajjz6Kb775plI7Pz8/fPnll0hISMBDDz2EmJgY6HQ65OXlITw8HAMGDMDcuXNx6tQpg0edvvbaa1iwYAHuuusuxMXFwcPDQ21z6623YunSpUhMTHT4vS6NGzdGs2bN1P8bu55fr0ePHgaP0XSH6/lFhXtTqnrs6uXLl3Ht2jWr5i1LxkQ1nSKEibvIiIiIaql+/frhp59+wowZMxz65B8iImfhkX4iIiIiIjfHop+IiMiEWbNmqS/TM/a+BiKimsLD/CRERES1S2hoKOrXr28wjNeME1FNxmv6iYiIiIjcHC/vISIiIiJycyz6iYiIiIjcHIt+IiIiIiI3x6KfiIhqvPXr16tP2dF/RUdHu7pbRETS4NN7iIhICklJSdi3bx+SkpLw22+/4dixYygpKUFUVBTOnTtXZVsfHx/1aTuFhYXIyclxQo+JiGoOPr2HiIikEB0djfPnz1cabknRX9GyZcswbtw4q9sREbkzHuknIiIpeHl54eabb0bHjh3RsWNH7Nu3D1988YWru0VE5BZY9BMRkRSSk5Oh1WrV/6enp7uwN0RE7oU38hIRuYHo6GgoioJly5aZnOaRRx6Boih45JFHTLYtKCjAzJkz0bJlS/j5+SEyMhIPPfQQUlJS1OkzMjIwdepUtGjRAr6+voiIiMCECRNw+fLlaq1DxYKfiIjsi0f6iYgIAHDt2jV0794dhw8fho+PDxRFwaVLl7BixQps374du3fvhk6nw8CBA5GSkgI/Pz/odDpcvnwZn376KX7++Wf8+uuvCAoKcvWqEBHRDXikn4iIAAAzZ85ETk4OfvzxR+Tn5yM3Nxc//vgjwsLCcOnSJUydOhX3338/6tSpgz179iA/Px95eXlYvXo1/Pz8cOrUKcydO9fVq0FEREaw6CciIgBAcXExtm7diltvvRUajQZarRa33nor5syZAwBYs2YNzp8/j23btqFbt24AAE9PT9x77714/vnnAQBfffWVy/pPRESmsegnIiIAwKhRoxAbG1tp+KBBg9TvJ06ciLp165qc5syZM8jPz3dcJ4mIyCYs+omICADQpUsXo8P1L70CgPj4eLPTXL161a79IiKi6mPRT0REAIDAwECjwz08PKyaprS0VP3+7bffRkREhNGvCxcu2KnnRERkDp/eQ0REDpOXl2fyUZ7l5eVO7g0RUe3FI/1ERG5Af6S9qKjI5DTXrl1zVndUM2fOhBDC6Fd0dLTT+0NEVFux6CcicgMhISEAYPKSGZ1Oh19//dWZXSIiIomw6CcicgPt27cHAHz77bcQQlQav3z5cvz555/O7hYREUmCRT8RkRu4//77AQDJycmYOHEiMjMzAQA5OTl477338MQTTyA0NNSVXTSroKAAGRkZ6ldBQQGA62cpKg7PyMhwcU+JiGoe3shLROQGbrnlFjz88MP4/PPPsWTJEixZsgTBwcHIycmBTqfD5MmTkZubi+XLl7u6qybNnTsXs2bNqjT8woULqFevnsEwY2cziIjINB7pJyJyE0uXLsX8+fNx8803w9fXFzqdDj179sTq1auxcOFCV3ePiIhcSBE8XEJERG5k2bJlGDduHKKionDu3DlXd4eISAo80k9ERERE5OZ4TT8REdV469evx1133eXqbhARSYtFPxER1Xg+Pj6oX7++wbAbb/4lIqrNeE0/EREREZGb4zX9RERERERujkU/EREREZGbY9FPREREROTmWPQTEREREbk5Fv1ERERERG6ORT8RERERkZtj0U9ERERE5OZY9BMRERERuTkW/UREREREbu7/ASRZYcLHYPfCAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 800x800 with 2 Axes>"
       ]
@@ -852,14 +900,16 @@
   {
    "cell_type": "markdown",
    "id": "009c2067-77a3-4a36-82eb-421874cb1358",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Patching"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "id": "841a304f-9ad8-4deb-bf84-4c0503145095",
    "metadata": {},
    "outputs": [
@@ -867,12 +917,29 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "cat: /config/example/patch.yaml: No existe el fichero o el directorio\n"
+      "# PATH WITH GEOPROCESSED DATA\n",
+      "read_path: data\n",
+      "\n",
+      "# PATH FOR SAVING PATCHES\n",
+      "save_path: data\n",
+      "\n",
+      "# PATCH PARAMETERS\n",
+      "patch_size: 256\n",
+      "stride_size: 256\n",
+      "\n",
+      "# NAN CUTOFF\n",
+      "nan_cutoff: 0.5\n",
+      "\n",
+      "# FILETYPE TO SAVE [nc = netcdf, np = numpy]\n",
+      "save_filetype: nc\n",
+      "\n",
+      "defaults:\n",
+      "  - _self_"
      ]
     }
    ],
    "source": [
-    "!cat $cwd/config/example/patch.yaml"
+    "!cat $autoroot.root/config/example/patch.yaml"
    ]
   },
   {
@@ -907,7 +974,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "id": "90ed3569-466e-4f98-92ef-f5981dc61ccf",
    "metadata": {},
    "outputs": [],
@@ -917,13 +984,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "id": "c6d07bbb-6850-42a2-b309-a9d8970cbaed",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -967,7 +1034,9 @@
   {
    "cell_type": "markdown",
    "id": "6a0567ff-378c-4b12-a2cd-06a51c347f9e",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## DataLoading"
    ]
@@ -983,7 +1052,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "id": "1d9b5d86-625c-4f6f-9dc5-46ca6d305a4a",
    "metadata": {},
    "outputs": [
@@ -991,9 +1060,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.11/site-packages/goes2go/data.py:519: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
+      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.10/site-packages/goes2go/data.py:519: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
       "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n",
-      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.11/site-packages/goes2go/NEW.py:188: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
+      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.10/site-packages/goes2go/NEW.py:188: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
       "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n"
      ]
     }
@@ -1015,7 +1084,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "id": "9ba21c4b-89a9-45d8-87e6-1ee34f436e8f",
    "metadata": {},
    "outputs": [],
@@ -1042,7 +1111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "id": "4f9af252-b6e1-4577-82df-0846f466a391",
    "metadata": {},
    "outputs": [],
@@ -1053,7 +1122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "id": "91200aa6-6e72-40bc-855f-eeadb0e3f3bd",
    "metadata": {},
    "outputs": [],
@@ -1063,7 +1132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 18,
    "id": "3b5904f6-e7f1-4cef-a9ca-42470b226330",
    "metadata": {},
    "outputs": [
@@ -1073,7 +1142,7 @@
        "['data', 'wavelengths', 'coords', 'cloud_mask']"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1084,7 +1153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 19,
    "id": "19a8ee9e-7b14-42fa-92e7-b77cf87dcb26",
    "metadata": {},
    "outputs": [
@@ -1094,7 +1163,7 @@
        "(torch.Size([8, 16, 8, 8]), torch.Size([8, 2, 8, 8]))"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1121,7 +1190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 20,
    "id": "12a71034-aa32-47bb-9aae-0f04c2082f8f",
    "metadata": {},
    "outputs": [],
@@ -1134,7 +1203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 21,
    "id": "e9521f77-6876-4b14-8a1c-632e61a69257",
    "metadata": {},
    "outputs": [
@@ -1144,7 +1213,7 @@
        "torch.Size([8, 19, 8, 8])"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1162,6 +1231,14 @@
     "# inspect a batch\n",
     "out.shape"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f5c72da-043d-4f57-855a-1240ed7ccedc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -1180,7 +1257,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/docs/pipelines/ml_ready_datasets.ipynb b/docs/pipelines/ml_ready_datasets.ipynb
index c548265..ba3adcb 100644
--- a/docs/pipelines/ml_ready_datasets.ipynb
+++ b/docs/pipelines/ml_ready_datasets.ipynb
@@ -26,21 +26,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "86a8d52f-849b-4f0b-a4ea-1e828d51488d",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.11/site-packages/goes2go/data.py:519: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
-      "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n",
-      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.11/site-packages/goes2go/NEW.py:188: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
-      "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import autoroot\n",
     "import os\n",
@@ -77,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "9b2da1fb-1c11-49e8-a830-7e235ffea087",
    "metadata": {},
    "outputs": [
@@ -87,7 +76,7 @@
        "96"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -99,7 +88,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "36a42f7e-0d09-478e-ba13-98f6a3d967ca",
    "metadata": {},
    "outputs": [
@@ -473,10 +462,10 @@
        "Dimensions:          (y: 32, x: 32, band: 38, time: 1, band_wavelength: 38)\n",
        "Coordinates: (6)\n",
        "Dimensions without coordinates: y, x\n",
-       "Data variables: (1)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-740778c2-e8f0-466c-b1f6-7d4bc110839f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-740778c2-e8f0-466c-b1f6-7d4bc110839f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 32</li><li><span>x</span>: 32</li><li><span class='xr-has-index'>band</span>: 38</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>band_wavelength</span>: 38</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-73e19ba6-a563-4ac5-bfc2-eb050c8a163d' class='xr-section-summary-in' type='checkbox'  ><label for='section-73e19ba6-a563-4ac5-bfc2-eb050c8a163d' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4c88f7c-1772-4712-96c6-abb7323d1fd6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4c88f7c-1772-4712-96c6-abb7323d1fd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d6b8330-c445-4d8d-96b6-e2e9e6e25980' class='xr-var-data-in' type='checkbox'><label for='data-0d6b8330-c445-4d8d-96b6-e2e9e6e25980' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91c3b712-f748-451d-bdaa-f12cf57b2959' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91c3b712-f748-451d-bdaa-f12cf57b2959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c12016e-b085-4ae2-939e-7cf8251f0ca0' class='xr-var-data-in' type='checkbox'><label for='data-7c12016e-b085-4ae2-939e-7cf8251f0ca0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;1&#x27; &#x27;2&#x27; &#x27;3&#x27; ... &#x27;36&#x27; &#x27;13hi&#x27; &#x27;14hi&#x27;</div><input id='attrs-d8494249-94ce-4017-9ea6-f0b175fb3d09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8494249-94ce-4017-9ea6-f0b175fb3d09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dc7946a-f1c2-4657-b9b2-6606026d9e1c' class='xr-var-data-in' type='checkbox'><label for='data-6dc7946a-f1c2-4657-b9b2-6606026d9e1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1&#x27;, &#x27;2&#x27;, &#x27;3&#x27;, &#x27;4&#x27;, &#x27;5&#x27;, &#x27;6&#x27;, &#x27;7&#x27;, &#x27;8&#x27;, &#x27;9&#x27;, &#x27;10&#x27;, &#x27;11&#x27;, &#x27;12&#x27;, &#x27;13lo&#x27;,\n",
+       "Data variables: (1)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7df68ead-5f58-44ba-9036-41d8ac906449' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7df68ead-5f58-44ba-9036-41d8ac906449' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 32</li><li><span>x</span>: 32</li><li><span class='xr-has-index'>band</span>: 38</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>band_wavelength</span>: 38</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-13b405db-f194-4c97-a3fd-ab4f17718ee5' class='xr-section-summary-in' type='checkbox'  ><label for='section-13b405db-f194-4c97-a3fd-ab4f17718ee5' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d943bbee-2506-4ef3-a848-24f5210820ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d943bbee-2506-4ef3-a848-24f5210820ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80eaec13-ac44-465e-b7ac-803886fef3ae' class='xr-var-data-in' type='checkbox'><label for='data-80eaec13-ac44-465e-b7ac-803886fef3ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-314cb98d-7c29-4439-9227-c8a3396cfccd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-314cb98d-7c29-4439-9227-c8a3396cfccd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e28714d3-9efc-44f9-8f87-f159d7753ae9' class='xr-var-data-in' type='checkbox'><label for='data-e28714d3-9efc-44f9-8f87-f159d7753ae9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;1&#x27; &#x27;2&#x27; &#x27;3&#x27; ... &#x27;36&#x27; &#x27;13hi&#x27; &#x27;14hi&#x27;</div><input id='attrs-53e34cc1-25db-4710-b1a8-36dc3dde6a0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-53e34cc1-25db-4710-b1a8-36dc3dde6a0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8173969-37a1-4b24-8710-7f27a50b5626' class='xr-var-data-in' type='checkbox'><label for='data-e8173969-37a1-4b24-8710-7f27a50b5626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1&#x27;, &#x27;2&#x27;, &#x27;3&#x27;, &#x27;4&#x27;, &#x27;5&#x27;, &#x27;6&#x27;, &#x27;7&#x27;, &#x27;8&#x27;, &#x27;9&#x27;, &#x27;10&#x27;, &#x27;11&#x27;, &#x27;12&#x27;, &#x27;13lo&#x27;,\n",
        "       &#x27;14lo&#x27;, &#x27;15&#x27;, &#x27;16&#x27;, &#x27;17&#x27;, &#x27;18&#x27;, &#x27;19&#x27;, &#x27;20&#x27;, &#x27;21&#x27;, &#x27;22&#x27;, &#x27;23&#x27;, &#x27;24&#x27;,\n",
        "       &#x27;25&#x27;, &#x27;26&#x27;, &#x27;27&#x27;, &#x27;28&#x27;, &#x27;29&#x27;, &#x27;30&#x27;, &#x27;31&#x27;, &#x27;32&#x27;, &#x27;33&#x27;, &#x27;34&#x27;, &#x27;35&#x27;, &#x27;36&#x27;,\n",
-       "       &#x27;13hi&#x27;, &#x27;14hi&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5df9550b-1784-4bb4-b374-f040c0eab20d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5df9550b-1784-4bb4-b374-f040c0eab20d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-085db9f9-f585-4c9f-9dbe-c6af48661a1b' class='xr-var-data-in' type='checkbox'><label for='data-085db9f9-f585-4c9f-9dbe-c6af48661a1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_range :</span></dt><dd>[ 0 -1]</dd><dt><span>long_name :</span></dt><dd>MODIS Cloud Mask and Spectral Test Results</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>Parameter_Type :</span></dt><dd>Output</dd><dt><span>Cell_Along_Swath_Sampling :</span></dt><dd>[   1 2040    1]</dd><dt><span>Cell_Across_Swath_Sampling :</span></dt><dd>[   1 1354    1]</dd><dt><span>Geolocation_Pointer :</span></dt><dd>External MODIS geolocation product</dd><dt><span>description :</span></dt><dd>\\n                                                                                  \n",
+       "       &#x27;13hi&#x27;, &#x27;14hi&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d76dea04-2840-4708-bd57-e14cd22fc628' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d76dea04-2840-4708-bd57-e14cd22fc628' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b84fc9df-c5ea-4b44-8cf1-16c780ca864d' class='xr-var-data-in' type='checkbox'><label for='data-b84fc9df-c5ea-4b44-8cf1-16c780ca864d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_range :</span></dt><dd>[ 0 -1]</dd><dt><span>long_name :</span></dt><dd>MODIS Cloud Mask and Spectral Test Results</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>Parameter_Type :</span></dt><dd>Output</dd><dt><span>Cell_Along_Swath_Sampling :</span></dt><dd>[   1 2040    1]</dd><dt><span>Cell_Across_Swath_Sampling :</span></dt><dd>[   1 1354    1]</dd><dt><span>Geolocation_Pointer :</span></dt><dd>External MODIS geolocation product</dd><dt><span>description :</span></dt><dd>\\n                                                                                  \n",
        "                                                                                    \n",
        " Bit fields within each byte are numbered from the left:                            \n",
        " 7, 6, 5, 4, 3, 2, 1, 0.                                                            \n",
@@ -582,20 +571,20 @@
        " 6               Element(4,3)                            0 =  Yes / 1 = No          \n",
        " 7               Element(4,4)                            0 =  Yes / 1 = No          \n",
        " ____ END BYTE 6 ______________ ___________________________________________         \n",
-       "</dd><dt><span>platform_name :</span></dt><dd>EOS-Aqua</dd><dt><span>sensor :</span></dt><dd>modis</dd><dt><span>rows_per_scan :</span></dt><dd>10</dd><dt><span>reader :</span></dt><dd>modis_l2</dd><dt><span>name :</span></dt><dd>cloud_mask</dd><dt><span>resolution :</span></dt><dd>1000</dd><dt><span>modifiers :</span></dt><dd>[]</dd><dt><span>ancillary_variables :</span></dt><dd>[]</dd></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U16</div><div class='xr-var-preview xr-preview'>&#x27;2020-10-01 19:55&#x27;</div><input id='attrs-6e1443a7-70f3-485a-9ecf-64be32dda261' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e1443a7-70f3-485a-9ecf-64be32dda261' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e93589e0-4cfb-443e-8cd0-7ce7bde3f67f' class='xr-var-data-in' type='checkbox'><label for='data-e93589e0-4cfb-443e-8cd0-7ce7bde3f67f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-01 19:55&#x27;], dtype=&#x27;&lt;U16&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band_wavelength</span></div><div class='xr-var-dims'>(band_wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.645 0.8585 0.469 ... 13.94 14.23</div><input id='attrs-b5f888f1-213c-43b0-b831-4ab731532ac3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5f888f1-213c-43b0-b831-4ab731532ac3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-465c4f4f-154f-4b29-a2ec-cfd34d06147a' class='xr-var-data-in' type='checkbox'><label for='data-465c4f4f-154f-4b29-a2ec-cfd34d06147a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.645 ,  0.8585,  0.469 ,  0.555 ,  1.24  ,  1.64  ,  2.13  ,  0.4125,\n",
+       "</dd><dt><span>platform_name :</span></dt><dd>EOS-Aqua</dd><dt><span>sensor :</span></dt><dd>modis</dd><dt><span>rows_per_scan :</span></dt><dd>10</dd><dt><span>reader :</span></dt><dd>modis_l2</dd><dt><span>name :</span></dt><dd>cloud_mask</dd><dt><span>resolution :</span></dt><dd>1000</dd><dt><span>modifiers :</span></dt><dd>[]</dd><dt><span>ancillary_variables :</span></dt><dd>[]</dd></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U16</div><div class='xr-var-preview xr-preview'>&#x27;2020-10-01 19:55&#x27;</div><input id='attrs-501f5657-0c18-4301-8c2a-a24fbb6fd8e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-501f5657-0c18-4301-8c2a-a24fbb6fd8e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbe98706-249f-4b9e-a227-6c26eed3fd2c' class='xr-var-data-in' type='checkbox'><label for='data-dbe98706-249f-4b9e-a227-6c26eed3fd2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-01 19:55&#x27;], dtype=&#x27;&lt;U16&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band_wavelength</span></div><div class='xr-var-dims'>(band_wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.645 0.8585 0.469 ... 13.94 14.23</div><input id='attrs-c9ecd340-958f-452e-91a4-913a6c14478d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9ecd340-958f-452e-91a4-913a6c14478d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55a7aa3d-045a-4400-8a36-5c4a503b2fc8' class='xr-var-data-in' type='checkbox'><label for='data-55a7aa3d-045a-4400-8a36-5c4a503b2fc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.645 ,  0.8585,  0.469 ,  0.555 ,  1.24  ,  1.64  ,  2.13  ,  0.4125,\n",
        "        0.443 ,  0.488 ,  0.531 ,  0.551 ,  0.667 ,  0.667 ,  0.678 ,  0.678 ,\n",
        "        0.748 ,  0.8695,  0.905 ,  0.936 ,  0.94  ,  3.75  ,  3.959 ,  3.959 ,\n",
        "        4.05  ,  4.4655,  4.5155,  1.375 ,  6.715 ,  7.325 ,  8.55  ,  9.73  ,\n",
-       "       11.03  , 12.02  , 13.335 , 13.635 , 13.935 , 14.235 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a32f2011-755f-471c-afe6-09b0ca5eb2bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-a32f2011-755f-471c-afe6-09b0ca5eb2bc' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rad</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd6c7b71-dd2f-4239-bb19-66c80b9b2cba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd6c7b71-dd2f-4239-bb19-66c80b9b2cba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d9eba0e-6f20-4742-b44a-87fbfc9db6d1' class='xr-var-data-in' type='checkbox'><label for='data-6d9eba0e-6f20-4742-b44a-87fbfc9db6d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>[38912 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27a32708-a461-4d8d-b265-16e419458f82' class='xr-section-summary-in' type='checkbox'  ><label for='section-27a32708-a461-4d8d-b265-16e419458f82' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c8aed667-aeea-4357-9574-477585f916cc' class='xr-index-data-in' type='checkbox'/><label for='index-c8aed667-aeea-4357-9574-477585f916cc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;1&#x27;, &#x27;2&#x27;, &#x27;3&#x27;, &#x27;4&#x27;, &#x27;5&#x27;, &#x27;6&#x27;, &#x27;7&#x27;, &#x27;8&#x27;, &#x27;9&#x27;, &#x27;10&#x27;, &#x27;11&#x27;, &#x27;12&#x27;, &#x27;13lo&#x27;,\n",
+       "       11.03  , 12.02  , 13.335 , 13.635 , 13.935 , 14.235 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a924850d-c218-4271-8981-b12d5733a4f5' class='xr-section-summary-in' type='checkbox'  ><label for='section-a924850d-c218-4271-8981-b12d5733a4f5' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rad</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d4e76b4-6ffd-41ee-a35e-3201e231e2ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d4e76b4-6ffd-41ee-a35e-3201e231e2ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14c69b3f-b82f-4adb-9291-0c4095025961' class='xr-var-data-in' type='checkbox'><label for='data-14c69b3f-b82f-4adb-9291-0c4095025961' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>[38912 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-599cb50e-3e69-4a34-bef7-f725b884ca06' class='xr-section-summary-in' type='checkbox'  ><label for='section-599cb50e-3e69-4a34-bef7-f725b884ca06' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-23ac06cd-c0fe-491f-ac5e-2146225d4f55' class='xr-index-data-in' type='checkbox'/><label for='index-23ac06cd-c0fe-491f-ac5e-2146225d4f55' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;1&#x27;, &#x27;2&#x27;, &#x27;3&#x27;, &#x27;4&#x27;, &#x27;5&#x27;, &#x27;6&#x27;, &#x27;7&#x27;, &#x27;8&#x27;, &#x27;9&#x27;, &#x27;10&#x27;, &#x27;11&#x27;, &#x27;12&#x27;, &#x27;13lo&#x27;,\n",
        "       &#x27;14lo&#x27;, &#x27;15&#x27;, &#x27;16&#x27;, &#x27;17&#x27;, &#x27;18&#x27;, &#x27;19&#x27;, &#x27;20&#x27;, &#x27;21&#x27;, &#x27;22&#x27;, &#x27;23&#x27;, &#x27;24&#x27;,\n",
        "       &#x27;25&#x27;, &#x27;26&#x27;, &#x27;27&#x27;, &#x27;28&#x27;, &#x27;29&#x27;, &#x27;30&#x27;, &#x27;31&#x27;, &#x27;32&#x27;, &#x27;33&#x27;, &#x27;34&#x27;, &#x27;35&#x27;, &#x27;36&#x27;,\n",
        "       &#x27;13hi&#x27;, &#x27;14hi&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ac18d810-f55a-4c82-b127-9b73256a7843' class='xr-index-data-in' type='checkbox'/><label for='index-ac18d810-f55a-4c82-b127-9b73256a7843' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2020-10-01 19:55&#x27;], dtype=&#x27;object&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band_wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-26b8e409-b0e6-45d5-8ac4-e4fbe5c40f0b' class='xr-index-data-in' type='checkbox'/><label for='index-26b8e409-b0e6-45d5-8ac4-e4fbe5c40f0b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.645, 0.8585,  0.469,  0.555,   1.24,   1.64,   2.13, 0.4125,  0.443,\n",
+       "      dtype=&#x27;object&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1bfd2c2b-e56f-42e6-8b98-493a906269c7' class='xr-index-data-in' type='checkbox'/><label for='index-1bfd2c2b-e56f-42e6-8b98-493a906269c7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2020-10-01 19:55&#x27;], dtype=&#x27;object&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band_wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1dd0a0f9-ec6d-4ef4-8b3a-eca761c49246' class='xr-index-data-in' type='checkbox'/><label for='index-1dd0a0f9-ec6d-4ef4-8b3a-eca761c49246' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.645, 0.8585,  0.469,  0.555,   1.24,   1.64,   2.13, 0.4125,  0.443,\n",
        "        0.488,  0.531,  0.551,  0.667,  0.667,  0.678,  0.678,  0.748, 0.8695,\n",
        "        0.905,  0.936,   0.94,   3.75,  3.959,  3.959,   4.05, 4.4655, 4.5155,\n",
        "        1.375,  6.715,  7.325,   8.55,   9.73,  11.03,  12.02, 13.335, 13.635,\n",
        "       13.935, 14.235],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;band_wavelength&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d18ea06-57fb-4033-8f90-aed41466992e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d18ea06-57fb-4033-8f90-aed41466992e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;band_wavelength&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64c970df-ff80-4ef0-8624-419d8ece6352' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-64c970df-ff80-4ef0-8624-419d8ece6352' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 169kB\n",
@@ -605,7 +594,7 @@
        "Data variables: (1)"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -627,7 +616,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "e95b4f0e",
    "metadata": {},
    "outputs": [],
@@ -648,7 +637,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "c58e5ed8",
    "metadata": {},
    "outputs": [],
@@ -675,18 +664,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "6a4f3275",
    "metadata": {},
    "outputs": [],
    "source": [
     "ds = NCDataReader(f\"{save_dir}/aqua/analysis\")\n",
-    "dl = DataLoader(ds, batch_size=8)"
+    "dl = DataLoader(ds, batch_size=1)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "d24b7722",
    "metadata": {},
    "outputs": [],
@@ -696,7 +685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "2207d237",
    "metadata": {},
    "outputs": [
@@ -706,7 +695,7 @@
        "['data', 'wavelengths', 'coords', 'cloud_mask']"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -717,17 +706,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "id": "8c96f315",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(torch.Size([8, 38, 32, 32]), torch.Size([8, 2, 32, 32]))"
+       "(torch.Size([1, 38, 32, 32]), torch.Size([1, 2, 32, 32]))"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -754,7 +743,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "42ca6022",
    "metadata": {},
    "outputs": [],
@@ -767,28 +756,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "c95dd680",
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
-      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
-      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
-      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# initialize dataset with transforms\n",
     "ds = NCDataReader(f\"{save_dir}/aqua/analysis\", transforms=transforms)\n",
     "\n",
     "# initialize dataloader\n",
-    "dl = DataLoader(ds, batch_size=8)\n",
+    "dl = DataLoader(ds, batch_size=1)\n",
     "\n",
     "# do one iteration\n",
     "out = next(iter(dl))\n",
@@ -796,13 +773,21 @@
     "# inspect a batch\n",
     "out.shape"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5aaaf4e3-0355-486d-b7eb-556fc45b747d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "rs_tools",
+   "display_name": "Python [conda env:rs_tools]",
    "language": "python",
-   "name": "python3"
+   "name": "conda-env-rs_tools-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -814,7 +799,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/docs/pipelines/msg.ipynb b/docs/pipelines/msg.ipynb
index c476548..67209d9 100644
--- a/docs/pipelines/msg.ipynb
+++ b/docs/pipelines/msg.ipynb
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "e5d9b01f-9b02-4888-b8c2-42fdf3dfb27e",
    "metadata": {},
    "outputs": [],
@@ -88,7 +88,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "4eb1b8c6-8646-4861-943b-d651dfb1bdee",
    "metadata": {},
    "outputs": [],
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "c84f34f6-1e67-4c63-aa14-386c225181f8",
    "metadata": {},
    "outputs": [],
@@ -156,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "db2d8893-4f32-4fa8-b546-73cc576f6c8b",
    "metadata": {},
    "outputs": [
@@ -199,7 +199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "id": "7b92c827-8a66-4173-8ef8-6f588d7531e3",
    "metadata": {},
    "outputs": [],
@@ -271,7 +271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "id": "77ec517f-3fad-480d-9e41-65fbbf2d363f",
    "metadata": {},
    "outputs": [],
@@ -322,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 8,
    "id": "f05084c2-5f5b-4c96-9f62-47f05331fe2c",
    "metadata": {},
    "outputs": [],
@@ -346,7 +346,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "id": "8a4790d6-53d6-4a41-96ff-e893c6200284",
    "metadata": {},
    "outputs": [
@@ -726,11 +726,11 @@
        "    platform_name:       Meteosat-11\n",
        "    sensor:              seviri\n",
        "    units:               mW m-2 sr-1 (cm-1)-1\n",
-       "    orbital_parameters:  {&quot;projection_longitude&quot;: 0.0, &quot;projection_latitude&quot;:...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-948e05b0-75a5-4758-9288-35f4a1f67a0c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-948e05b0-75a5-4758-9288-35f4a1f67a0c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1457</li><li><span class='xr-has-index'>y</span>: 400</li><li><span class='xr-has-index'>band</span>: 11</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>band_wavelength</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e0492023-66cb-42cd-acdb-7d460d0f8d6a' class='xr-section-summary-in' type='checkbox'  ><label for='section-e0492023-66cb-42cd-acdb-7d460d0f8d6a' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.136e+06 -5.131e+06 ... 2.144e+06</div><input id='attrs-122f0105-4570-4f2c-9d0e-0c36150e3c5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-122f0105-4570-4f2c-9d0e-0c36150e3c5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd2ba07a-515f-4a5d-bb06-d445667ab985' class='xr-var-data-in' type='checkbox'><label for='data-bd2ba07a-515f-4a5d-bb06-d445667ab985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([-5135690.421462, -5130690.421462, -5125690.421462, ...,  2134309.578538,\n",
-       "        2139309.578538,  2144309.578538])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.421e+05 5.371e+05 ... -1.453e+06</div><input id='attrs-93ad5108-9594-4a32-80df-b85f602f1bbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93ad5108-9594-4a32-80df-b85f602f1bbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ce60247-58a9-41cc-b3b3-694f19e2c1ef' class='xr-var-data-in' type='checkbox'><label for='data-1ce60247-58a9-41cc-b3b3-694f19e2c1ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([  542073.174596,   537073.174596,   532073.174596, ..., -1442926.825404,\n",
-       "       -1447926.825404, -1452926.825404])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1327c7d-1255-4084-b402-f1d5a3867213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1327c7d-1255-4084-b402-f1d5a3867213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18fe0d06-f32d-4844-a1cc-e0c99df48067' class='xr-var-data-in' type='checkbox'><label for='data-18fe0d06-f32d-4844-a1cc-e0c99df48067' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>msg_seviri_fes_3km</dd></dl></div><div class='xr-var-data'><pre>[582800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f6c70c2-e5fb-4cdd-b84d-e3ca56dd1a64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f6c70c2-e5fb-4cdd-b84d-e3ca56dd1a64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5af9870-80a5-435c-bbd5-a818d53b1915' class='xr-var-data-in' type='checkbox'><label for='data-f5af9870-80a5-435c-bbd5-a818d53b1915' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[582800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c00a583-83db-41f7-b62e-01fd7009e536' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c00a583-83db-41f7-b62e-01fd7009e536' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d52eccda-26db-467e-a9af-4c2da400da9f' class='xr-var-data-in' type='checkbox'><label for='data-d52eccda-26db-467e-a9af-4c2da400da9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[582800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;IR_016&#x27; &#x27;IR_039&#x27; ... &#x27;WV_073&#x27;</div><input id='attrs-7e251dab-58ef-4475-96cc-afd00de8ec94' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e251dab-58ef-4475-96cc-afd00de8ec94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee9199c3-2dd1-4e5c-aef4-b46e5bb6d7b6' class='xr-var-data-in' type='checkbox'><label for='data-ee9199c3-2dd1-4e5c-aef4-b46e5bb6d7b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IR_016&#x27;, &#x27;IR_039&#x27;, &#x27;IR_087&#x27;, &#x27;IR_097&#x27;, &#x27;IR_108&#x27;, &#x27;IR_120&#x27;, &#x27;IR_134&#x27;,\n",
-       "       &#x27;VIS006&#x27;, &#x27;VIS008&#x27;, &#x27;WV_062&#x27;, &#x27;WV_073&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U19</div><div class='xr-var-preview xr-preview'>&#x27;2020-10-01 09:00:00&#x27;</div><input id='attrs-4e82aa3f-16c4-4a4e-bef0-141008cc9057' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e82aa3f-16c4-4a4e-bef0-141008cc9057' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2683d727-8ccd-4875-a930-b1f9835206af' class='xr-var-data-in' type='checkbox'><label for='data-2683d727-8ccd-4875-a930-b1f9835206af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-01 09:00:00&#x27;], dtype=&#x27;&lt;U19&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band_wavelength</span></div><div class='xr-var-dims'>(band_wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 3.92 8.7 ... 0.81 6.25 7.35</div><input id='attrs-3c7805b9-6625-407f-81d6-7eb729285374' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c7805b9-6625-407f-81d6-7eb729285374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db796fdc-1a19-41a7-b522-b464f1e7d7d7' class='xr-var-data-in' type='checkbox'><label for='data-db796fdc-1a19-41a7-b522-b464f1e7d7d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.64,  3.92,  8.7 ,  9.66, 10.8 , 12.  , 13.4 ,  0.64,  0.81,  6.25,\n",
-       "        7.35])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7628f70d-a8f9-4fb1-adcf-b0a0796567a6' class='xr-section-summary-in' type='checkbox'  ><label for='section-7628f70d-a8f9-4fb1-adcf-b0a0796567a6' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rad</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82e26f04-0f7b-4677-88ec-8421013b6142' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82e26f04-0f7b-4677-88ec-8421013b6142' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efc708dc-d2bf-45c1-89bb-981029662556' class='xr-var-data-in' type='checkbox'><label for='data-efc708dc-d2bf-45c1-89bb-981029662556' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>calibration :</span></dt><dd>radiance</dd><dt><span>end_time :</span></dt><dd>2020-10-01 09:15:00</dd><dt><span>georef_offset_corrected :</span></dt><dd>true</dd><dt><span>modifiers :</span></dt><dd>[]</dd><dt><span>orbital_parameters :</span></dt><dd>{&quot;projection_longitude&quot;: 0.0, &quot;projection_latitude&quot;: 0.0, &quot;projection_altitude&quot;: 35785831.0, &quot;satellite_nominal_longitude&quot;: 0.0, &quot;satellite_nominal_latitude&quot;: 0.0, &quot;satellite_actual_longitude&quot;: 0.14423929460068785, &quot;satellite_actual_latitude&quot;: -0.5082020253357726, &quot;satellite_actual_altitude&quot;: 35779117.54014481}</dd><dt><span>platform_name :</span></dt><dd>Meteosat-11</dd><dt><span>reader :</span></dt><dd>seviri_l1b_native</dd><dt><span>resolution :</span></dt><dd>3000.403165817</dd><dt><span>sensor :</span></dt><dd>seviri</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavenumber</dd><dt><span>start_time :</span></dt><dd>2020-10-01 09:00:00</dd><dt><span>time_parameters :</span></dt><dd>{&quot;nominal_start_time&quot;: &quot;2020-10-01 09:00:00&quot;, &quot;nominal_end_time&quot;: &quot;2020-10-01 09:15:00&quot;, &quot;observation_start_time&quot;: &quot;2020-10-01 09:00:11.099000&quot;, &quot;observation_end_time&quot;: &quot;2020-10-01 09:12:43.553000&quot;}</dd><dt><span>units :</span></dt><dd>mW m-2 sr-1 (cm-1)-1</dd><dt><span>wavelength :</span></dt><dd>1.64 µm (1.5-1.78 µm)</dd><dt><span>grid_mapping :</span></dt><dd>msg_seviri_fes_3km</dd></dl></div><div class='xr-var-data'><pre>[6410800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23fe3a0b-d066-4bf5-8a4c-182a8c67713f' class='xr-section-summary-in' type='checkbox'  ><label for='section-23fe3a0b-d066-4bf5-8a4c-182a8c67713f' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a7e2d2da-6855-47b2-951c-90d001a17a11' class='xr-index-data-in' type='checkbox'/><label for='index-a7e2d2da-6855-47b2-951c-90d001a17a11' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-5135690.421462059, -5130690.421462059, -5125690.421462059,\n",
+       "    orbital_parameters:  {&quot;projection_longitude&quot;: 0.0, &quot;projection_latitude&quot;:...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-31b363cb-6ef6-4403-9fb0-1387d63eb446' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31b363cb-6ef6-4403-9fb0-1387d63eb446' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1457</li><li><span class='xr-has-index'>y</span>: 400</li><li><span class='xr-has-index'>band</span>: 11</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>band_wavelength</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e5f6591c-1568-4b39-bf77-9c97711aed5a' class='xr-section-summary-in' type='checkbox'  ><label for='section-e5f6591c-1568-4b39-bf77-9c97711aed5a' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.136e+06 -5.131e+06 ... 2.144e+06</div><input id='attrs-cb673215-ec1d-4fa2-aa53-2f4b1d452496' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb673215-ec1d-4fa2-aa53-2f4b1d452496' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee11bed3-e06d-422c-b5a3-4aea792b517d' class='xr-var-data-in' type='checkbox'><label for='data-ee11bed3-e06d-422c-b5a3-4aea792b517d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([-5135690.421462, -5130690.421462, -5125690.421462, ...,  2134309.578538,\n",
+       "        2139309.578538,  2144309.578538])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.421e+05 5.371e+05 ... -1.453e+06</div><input id='attrs-48a51c7b-5f4f-4445-b64c-355d40ac66a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48a51c7b-5f4f-4445-b64c-355d40ac66a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30041133-a545-495e-8766-0c0447752ba5' class='xr-var-data-in' type='checkbox'><label for='data-30041133-a545-495e-8766-0c0447752ba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([  542073.174596,   537073.174596,   532073.174596, ..., -1442926.825404,\n",
+       "       -1447926.825404, -1452926.825404])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fb6c034-7458-474e-ace8-c58fe373b520' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fb6c034-7458-474e-ace8-c58fe373b520' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6642e65-a202-44a3-8fad-a0144be30ec4' class='xr-var-data-in' type='checkbox'><label for='data-f6642e65-a202-44a3-8fad-a0144be30ec4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>msg_seviri_fes_3km</dd></dl></div><div class='xr-var-data'><pre>[582800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b774b0b7-246f-4d8f-afee-963347619a82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b774b0b7-246f-4d8f-afee-963347619a82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3437bbb1-09c7-4c3d-ba21-e8916c7ab09d' class='xr-var-data-in' type='checkbox'><label for='data-3437bbb1-09c7-4c3d-ba21-e8916c7ab09d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[582800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c9fca855-5c7b-4efe-b616-57f0bd4077e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9fca855-5c7b-4efe-b616-57f0bd4077e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-839cbde0-1ad8-4e2f-97cf-87511d8ccd57' class='xr-var-data-in' type='checkbox'><label for='data-839cbde0-1ad8-4e2f-97cf-87511d8ccd57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[582800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;IR_016&#x27; &#x27;IR_039&#x27; ... &#x27;WV_073&#x27;</div><input id='attrs-abeca530-e91d-445a-92dc-16c8ac68306d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-abeca530-e91d-445a-92dc-16c8ac68306d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fefb194-2323-4f47-b374-2b3c1a15e220' class='xr-var-data-in' type='checkbox'><label for='data-1fefb194-2323-4f47-b374-2b3c1a15e220' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IR_016&#x27;, &#x27;IR_039&#x27;, &#x27;IR_087&#x27;, &#x27;IR_097&#x27;, &#x27;IR_108&#x27;, &#x27;IR_120&#x27;, &#x27;IR_134&#x27;,\n",
+       "       &#x27;VIS006&#x27;, &#x27;VIS008&#x27;, &#x27;WV_062&#x27;, &#x27;WV_073&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U19</div><div class='xr-var-preview xr-preview'>&#x27;2020-10-01 09:00:00&#x27;</div><input id='attrs-7c70d5c2-6a3a-4177-a3b4-fd935e754d9b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c70d5c2-6a3a-4177-a3b4-fd935e754d9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-315eb415-322b-4254-8c3c-ea711ee44d9d' class='xr-var-data-in' type='checkbox'><label for='data-315eb415-322b-4254-8c3c-ea711ee44d9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-01 09:00:00&#x27;], dtype=&#x27;&lt;U19&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band_wavelength</span></div><div class='xr-var-dims'>(band_wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 3.92 8.7 ... 0.81 6.25 7.35</div><input id='attrs-a034b220-fc00-454a-9a07-b32c583f5548' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a034b220-fc00-454a-9a07-b32c583f5548' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b77add07-dbcb-4160-84e4-68dd151bc89f' class='xr-var-data-in' type='checkbox'><label for='data-b77add07-dbcb-4160-84e4-68dd151bc89f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.64,  3.92,  8.7 ,  9.66, 10.8 , 12.  , 13.4 ,  0.64,  0.81,  6.25,\n",
+       "        7.35])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f09191b-c29b-458a-a444-b3ea01eba0bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-3f09191b-c29b-458a-a444-b3ea01eba0bc' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rad</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3edfbd32-95b7-40fd-aa0e-e5f31a05c9f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3edfbd32-95b7-40fd-aa0e-e5f31a05c9f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47f1af86-7463-40c1-816c-ca5bc0d42a1b' class='xr-var-data-in' type='checkbox'><label for='data-47f1af86-7463-40c1-816c-ca5bc0d42a1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>calibration :</span></dt><dd>radiance</dd><dt><span>end_time :</span></dt><dd>2020-10-01 09:15:00</dd><dt><span>georef_offset_corrected :</span></dt><dd>true</dd><dt><span>modifiers :</span></dt><dd>[]</dd><dt><span>orbital_parameters :</span></dt><dd>{&quot;projection_longitude&quot;: 0.0, &quot;projection_latitude&quot;: 0.0, &quot;projection_altitude&quot;: 35785831.0, &quot;satellite_nominal_longitude&quot;: 0.0, &quot;satellite_nominal_latitude&quot;: 0.0, &quot;satellite_actual_longitude&quot;: 0.14423929460068785, &quot;satellite_actual_latitude&quot;: -0.5082020253357726, &quot;satellite_actual_altitude&quot;: 35779117.54014481}</dd><dt><span>platform_name :</span></dt><dd>Meteosat-11</dd><dt><span>reader :</span></dt><dd>seviri_l1b_native</dd><dt><span>resolution :</span></dt><dd>3000.403165817</dd><dt><span>sensor :</span></dt><dd>seviri</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavenumber</dd><dt><span>start_time :</span></dt><dd>2020-10-01 09:00:00</dd><dt><span>time_parameters :</span></dt><dd>{&quot;nominal_start_time&quot;: &quot;2020-10-01 09:00:00&quot;, &quot;nominal_end_time&quot;: &quot;2020-10-01 09:15:00&quot;, &quot;observation_start_time&quot;: &quot;2020-10-01 09:00:11.099000&quot;, &quot;observation_end_time&quot;: &quot;2020-10-01 09:12:43.553000&quot;}</dd><dt><span>units :</span></dt><dd>mW m-2 sr-1 (cm-1)-1</dd><dt><span>wavelength :</span></dt><dd>1.64 µm (1.5-1.78 µm)</dd><dt><span>grid_mapping :</span></dt><dd>msg_seviri_fes_3km</dd></dl></div><div class='xr-var-data'><pre>[6410800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-faccfbd1-3791-4e5e-b626-dc5c5e568999' class='xr-section-summary-in' type='checkbox'  ><label for='section-faccfbd1-3791-4e5e-b626-dc5c5e568999' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9baf91e8-5247-4da1-ab8e-fc5d6c56aac1' class='xr-index-data-in' type='checkbox'/><label for='index-9baf91e8-5247-4da1-ab8e-fc5d6c56aac1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-5135690.421462059, -5130690.421462059, -5125690.421462059,\n",
        "       -5120690.421462059, -5115690.421462059, -5110690.421462059,\n",
        "       -5105690.421462059, -5100690.421462059, -5095690.421462059,\n",
        "       -5090690.421462059,\n",
@@ -739,7 +739,7 @@
        "        2114309.578537941,  2119309.578537941,  2124309.578537941,\n",
        "        2129309.578537941,  2134309.578537941,  2139309.578537941,\n",
        "        2144309.578537941],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1457))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dd3c254b-6bd3-41e5-b77b-04e74bcf3b9b' class='xr-index-data-in' type='checkbox'/><label for='index-dd3c254b-6bd3-41e5-b77b-04e74bcf3b9b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  542073.1745958328,   537073.1745958328,   532073.1745958328,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1457))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d5e59c4b-0587-4a89-ad56-eef1687e71c9' class='xr-index-data-in' type='checkbox'/><label for='index-d5e59c4b-0587-4a89-ad56-eef1687e71c9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  542073.1745958328,   537073.1745958328,   532073.1745958328,\n",
        "         527073.1745958328,   522073.1745958328,   517073.1745958328,\n",
        "         512073.1745958328,   507073.1745958328,   502073.1745958328,\n",
        "         497073.1745958328,\n",
@@ -748,9 +748,9 @@
        "       -1422926.8254041672, -1427926.8254041672, -1432926.8254041672,\n",
        "       -1437926.8254041672, -1442926.8254041672, -1447926.8254041672,\n",
        "       -1452926.8254041672],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=400))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2bb872d6-5b6a-4158-9206-d1037ef74c69' class='xr-index-data-in' type='checkbox'/><label for='index-2bb872d6-5b6a-4158-9206-d1037ef74c69' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;IR_016&#x27;, &#x27;IR_039&#x27;, &#x27;IR_087&#x27;, &#x27;IR_097&#x27;, &#x27;IR_108&#x27;, &#x27;IR_120&#x27;, &#x27;IR_134&#x27;,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=400))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3cae9f2a-8a0c-41f2-90f7-f0fa4fdefce8' class='xr-index-data-in' type='checkbox'/><label for='index-3cae9f2a-8a0c-41f2-90f7-f0fa4fdefce8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;IR_016&#x27;, &#x27;IR_039&#x27;, &#x27;IR_087&#x27;, &#x27;IR_097&#x27;, &#x27;IR_108&#x27;, &#x27;IR_120&#x27;, &#x27;IR_134&#x27;,\n",
        "       &#x27;VIS006&#x27;, &#x27;VIS008&#x27;, &#x27;WV_062&#x27;, &#x27;WV_073&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-73e5f07a-8883-4141-afd5-3dcb14b0314a' class='xr-index-data-in' type='checkbox'/><label for='index-73e5f07a-8883-4141-afd5-3dcb14b0314a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2020-10-01 09:00:00&#x27;], dtype=&#x27;object&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band_wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d2cd09c1-0eaa-464a-8b2d-41c5d90b6d9e' class='xr-index-data-in' type='checkbox'/><label for='index-d2cd09c1-0eaa-464a-8b2d-41c5d90b6d9e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.64, 3.92, 8.7, 9.66, 10.8, 12.0, 13.4, 0.64, 0.81, 6.25, 7.35], dtype=&#x27;float64&#x27;, name=&#x27;band_wavelength&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4d0aa1c2-9ddf-448e-8fb8-6813303112a1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d0aa1c2-9ddf-448e-8fb8-6813303112a1' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>calibration :</span></dt><dd>radiance</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavenumber</dd><dt><span>platform_name :</span></dt><dd>Meteosat-11</dd><dt><span>sensor :</span></dt><dd>seviri</dd><dt><span>units :</span></dt><dd>mW m-2 sr-1 (cm-1)-1</dd><dt><span>orbital_parameters :</span></dt><dd>{&quot;projection_longitude&quot;: 0.0, &quot;projection_latitude&quot;: 0.0, &quot;projection_altitude&quot;: 35785831.0, &quot;satellite_nominal_longitude&quot;: 0.0, &quot;satellite_nominal_latitude&quot;: 0.0, &quot;satellite_actual_longitude&quot;: 0.14423929460068785, &quot;satellite_actual_latitude&quot;: -0.5082020253357726, &quot;satellite_actual_altitude&quot;: 35779117.54014481}</dd></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;object&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5a7f7acb-7064-4799-8efa-10568c2f5683' class='xr-index-data-in' type='checkbox'/><label for='index-5a7f7acb-7064-4799-8efa-10568c2f5683' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2020-10-01 09:00:00&#x27;], dtype=&#x27;object&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band_wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-383913da-19be-44e0-aef2-76672bd90a24' class='xr-index-data-in' type='checkbox'/><label for='index-383913da-19be-44e0-aef2-76672bd90a24' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.64, 3.92, 8.7, 9.66, 10.8, 12.0, 13.4, 0.64, 0.81, 6.25, 7.35], dtype=&#x27;float64&#x27;, name=&#x27;band_wavelength&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c240e8ca-ee22-43e5-a4ac-90b4aec29cc9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c240e8ca-ee22-43e5-a4ac-90b4aec29cc9' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>calibration :</span></dt><dd>radiance</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavenumber</dd><dt><span>platform_name :</span></dt><dd>Meteosat-11</dd><dt><span>sensor :</span></dt><dd>seviri</dd><dt><span>units :</span></dt><dd>mW m-2 sr-1 (cm-1)-1</dd><dt><span>orbital_parameters :</span></dt><dd>{&quot;projection_longitude&quot;: 0.0, &quot;projection_latitude&quot;: 0.0, &quot;projection_altitude&quot;: 35785831.0, &quot;satellite_nominal_longitude&quot;: 0.0, &quot;satellite_nominal_latitude&quot;: 0.0, &quot;satellite_actual_longitude&quot;: 0.14423929460068785, &quot;satellite_actual_latitude&quot;: -0.5082020253357726, &quot;satellite_actual_altitude&quot;: 35779117.54014481}</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 40MB\n",
@@ -766,7 +766,7 @@
        "    orbital_parameters:  {\"projection_longitude\": 0.0, \"projection_latitude\":..."
       ]
      },
-     "execution_count": 15,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -778,13 +778,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 10,
    "id": "66c78453-1a48-46e5-a8eb-6cad5feb4bb5",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x800 with 2 Axes>"
       ]
@@ -843,7 +843,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 11,
    "id": "841a304f-9ad8-4deb-bf84-4c0503145095",
    "metadata": {},
    "outputs": [
@@ -878,7 +878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 12,
    "id": "19da6612-6c90-4942-9538-8b32f6a10dc5",
    "metadata": {},
    "outputs": [],
@@ -888,7 +888,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 13,
    "id": "2602e401-0de1-4f17-b00a-25874fa78fbe",
    "metadata": {},
    "outputs": [
@@ -1261,23 +1261,23 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 71kB\n",
        "Dimensions:          (x: 32, y: 32, band: 11, time: 1, band_wavelength: 11)\n",
        "Coordinates: (8)\n",
-       "Data variables: (1)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7cf415a8-8c11-4be6-9641-15ea7d89be5d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7cf415a8-8c11-4be6-9641-15ea7d89be5d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 32</li><li><span class='xr-has-index'>y</span>: 32</li><li><span class='xr-has-index'>band</span>: 11</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>band_wavelength</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a845e71d-5790-466a-8b95-b9324b99b551' class='xr-section-summary-in' type='checkbox'  ><label for='section-a845e71d-5790-466a-8b95-b9324b99b551' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.136e+06 ... -4.981e+06</div><input id='attrs-91cf8b03-ef5a-4df8-b057-c665ce6a7978' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91cf8b03-ef5a-4df8-b057-c665ce6a7978' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c73e1d4-fc9a-4976-b8d7-8d88c3a2550c' class='xr-var-data-in' type='checkbox'><label for='data-5c73e1d4-fc9a-4976-b8d7-8d88c3a2550c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([-5135690.421462, -5130690.421462, -5125690.421462, -5120690.421462,\n",
+       "Data variables: (1)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6b6b153b-341b-4e7e-9243-bee5d4e63bc8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b6b153b-341b-4e7e-9243-bee5d4e63bc8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 32</li><li><span class='xr-has-index'>y</span>: 32</li><li><span class='xr-has-index'>band</span>: 11</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>band_wavelength</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d6882b81-7c95-4fce-a4f0-d2cdd2e4733b' class='xr-section-summary-in' type='checkbox'  ><label for='section-d6882b81-7c95-4fce-a4f0-d2cdd2e4733b' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.136e+06 ... -4.981e+06</div><input id='attrs-8008ed5f-49ff-4d33-a6d9-ee8f7a952e24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8008ed5f-49ff-4d33-a6d9-ee8f7a952e24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae78cce2-2d5d-4a3c-8f6a-c83664983ef5' class='xr-var-data-in' type='checkbox'><label for='data-ae78cce2-2d5d-4a3c-8f6a-c83664983ef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([-5135690.421462, -5130690.421462, -5125690.421462, -5120690.421462,\n",
        "       -5115690.421462, -5110690.421462, -5105690.421462, -5100690.421462,\n",
        "       -5095690.421462, -5090690.421462, -5085690.421462, -5080690.421462,\n",
        "       -5075690.421462, -5070690.421462, -5065690.421462, -5060690.421462,\n",
        "       -5055690.421462, -5050690.421462, -5045690.421462, -5040690.421462,\n",
        "       -5035690.421462, -5030690.421462, -5025690.421462, -5020690.421462,\n",
        "       -5015690.421462, -5010690.421462, -5005690.421462, -5000690.421462,\n",
-       "       -4995690.421462, -4990690.421462, -4985690.421462, -4980690.421462])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.421e+05 5.371e+05 ... 3.871e+05</div><input id='attrs-268a9f0a-2fc6-4a1a-8d3d-361abea9d51c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-268a9f0a-2fc6-4a1a-8d3d-361abea9d51c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-195c7898-8d77-4fac-8e0b-7584b5b4dc2c' class='xr-var-data-in' type='checkbox'><label for='data-195c7898-8d77-4fac-8e0b-7584b5b4dc2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([542073.174596, 537073.174596, 532073.174596, 527073.174596,\n",
+       "       -4995690.421462, -4990690.421462, -4985690.421462, -4980690.421462])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.421e+05 5.371e+05 ... 3.871e+05</div><input id='attrs-8a5a1018-b9da-42d6-8c0f-fe8c365bd036' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a5a1018-b9da-42d6-8c0f-fe8c365bd036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-649e2ab9-4520-4085-92aa-ff6be0103b07' class='xr-var-data-in' type='checkbox'><label for='data-649e2ab9-4520-4085-92aa-ff6be0103b07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([542073.174596, 537073.174596, 532073.174596, 527073.174596,\n",
        "       522073.174596, 517073.174596, 512073.174596, 507073.174596,\n",
        "       502073.174596, 497073.174596, 492073.174596, 487073.174596,\n",
        "       482073.174596, 477073.174596, 472073.174596, 467073.174596,\n",
        "       462073.174596, 457073.174596, 452073.174596, 447073.174596,\n",
        "       442073.174596, 437073.174596, 432073.174596, 427073.174596,\n",
        "       422073.174596, 417073.174596, 412073.174596, 407073.174596,\n",
-       "       402073.174596, 397073.174596, 392073.174596, 387073.174596])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e492ca5-741b-43b0-88d9-45d9cfa92914' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e492ca5-741b-43b0-88d9-45d9cfa92914' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-febbe80b-6724-408d-abd4-302079cc6110' class='xr-var-data-in' type='checkbox'><label for='data-febbe80b-6724-408d-abd4-302079cc6110' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>msg_seviri_fes_3km</dd></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f508a48c-1572-4fee-9c6d-aa2714f041f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f508a48c-1572-4fee-9c6d-aa2714f041f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bf0a85e-b7c4-418e-9338-a2eaa5f41fda' class='xr-var-data-in' type='checkbox'><label for='data-6bf0a85e-b7c4-418e-9338-a2eaa5f41fda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9f95b7d-70a3-42e3-8eb0-a81ac7b8fb45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9f95b7d-70a3-42e3-8eb0-a81ac7b8fb45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd3eb62-3a21-43bf-bab4-0ec37edce79b' class='xr-var-data-in' type='checkbox'><label for='data-ddd3eb62-3a21-43bf-bab4-0ec37edce79b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;IR_016&#x27; &#x27;IR_039&#x27; ... &#x27;WV_073&#x27;</div><input id='attrs-e3ba6196-8063-4823-8dad-23fa3e666ff7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3ba6196-8063-4823-8dad-23fa3e666ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b62ccad6-efe2-496c-b99b-3a85da4b7fbe' class='xr-var-data-in' type='checkbox'><label for='data-b62ccad6-efe2-496c-b99b-3a85da4b7fbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IR_016&#x27;, &#x27;IR_039&#x27;, &#x27;IR_087&#x27;, &#x27;IR_097&#x27;, &#x27;IR_108&#x27;, &#x27;IR_120&#x27;, &#x27;IR_134&#x27;,\n",
-       "       &#x27;VIS006&#x27;, &#x27;VIS008&#x27;, &#x27;WV_062&#x27;, &#x27;WV_073&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U19</div><div class='xr-var-preview xr-preview'>&#x27;2020-10-01 09:00:00&#x27;</div><input id='attrs-383e9418-6684-468a-85d9-346f02bb690d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-383e9418-6684-468a-85d9-346f02bb690d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a45958a-2353-482c-84e9-4036341f8991' class='xr-var-data-in' type='checkbox'><label for='data-1a45958a-2353-482c-84e9-4036341f8991' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-01 09:00:00&#x27;], dtype=&#x27;&lt;U19&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band_wavelength</span></div><div class='xr-var-dims'>(band_wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 3.92 8.7 ... 0.81 6.25 7.35</div><input id='attrs-20c10408-71fd-4172-9e8f-c9b954358a26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20c10408-71fd-4172-9e8f-c9b954358a26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09ded9f8-b597-4044-a5ee-77cac4496e8e' class='xr-var-data-in' type='checkbox'><label for='data-09ded9f8-b597-4044-a5ee-77cac4496e8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.64,  3.92,  8.7 ,  9.66, 10.8 , 12.  , 13.4 ,  0.64,  0.81,  6.25,\n",
-       "        7.35])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b109f3f9-8cb1-4be4-9c8a-dde397dc498e' class='xr-section-summary-in' type='checkbox'  ><label for='section-b109f3f9-8cb1-4be4-9c8a-dde397dc498e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rad</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fed6a778-7e85-4360-93c1-eeee5550a19f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fed6a778-7e85-4360-93c1-eeee5550a19f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49846768-7a28-4155-baaf-ad6360d4571f' class='xr-var-data-in' type='checkbox'><label for='data-49846768-7a28-4155-baaf-ad6360d4571f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>calibration :</span></dt><dd>radiance</dd><dt><span>end_time :</span></dt><dd>2020-10-01 09:15:00</dd><dt><span>georef_offset_corrected :</span></dt><dd>true</dd><dt><span>modifiers :</span></dt><dd>[]</dd><dt><span>orbital_parameters :</span></dt><dd>{&quot;projection_longitude&quot;: 0.0, &quot;projection_latitude&quot;: 0.0, &quot;projection_altitude&quot;: 35785831.0, &quot;satellite_nominal_longitude&quot;: 0.0, &quot;satellite_nominal_latitude&quot;: 0.0, &quot;satellite_actual_longitude&quot;: 0.14423929460068785, &quot;satellite_actual_latitude&quot;: -0.5082020253357726, &quot;satellite_actual_altitude&quot;: 35779117.54014481}</dd><dt><span>platform_name :</span></dt><dd>Meteosat-11</dd><dt><span>reader :</span></dt><dd>seviri_l1b_native</dd><dt><span>resolution :</span></dt><dd>3000.403165817</dd><dt><span>sensor :</span></dt><dd>seviri</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavenumber</dd><dt><span>start_time :</span></dt><dd>2020-10-01 09:00:00</dd><dt><span>time_parameters :</span></dt><dd>{&quot;nominal_start_time&quot;: &quot;2020-10-01 09:00:00&quot;, &quot;nominal_end_time&quot;: &quot;2020-10-01 09:15:00&quot;, &quot;observation_start_time&quot;: &quot;2020-10-01 09:00:11.099000&quot;, &quot;observation_end_time&quot;: &quot;2020-10-01 09:12:43.553000&quot;}</dd><dt><span>units :</span></dt><dd>mW m-2 sr-1 (cm-1)-1</dd><dt><span>wavelength :</span></dt><dd>1.64 µm (1.5-1.78 µm)</dd><dt><span>grid_mapping :</span></dt><dd>msg_seviri_fes_3km</dd></dl></div><div class='xr-var-data'><pre>[11264 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-430227cc-5418-4bed-abc9-df4976fcbb89' class='xr-section-summary-in' type='checkbox'  ><label for='section-430227cc-5418-4bed-abc9-df4976fcbb89' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ffa3f134-94f6-4249-adcf-0dd031ed33e1' class='xr-index-data-in' type='checkbox'/><label for='index-ffa3f134-94f6-4249-adcf-0dd031ed33e1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-5135690.421462059, -5130690.421462059, -5125690.421462059,\n",
+       "       402073.174596, 397073.174596, 392073.174596, 387073.174596])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd0ac00b-e775-4687-8237-e0be2ca5d58d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd0ac00b-e775-4687-8237-e0be2ca5d58d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24cf9220-aabd-4e9a-ac41-3e18b957e48b' class='xr-var-data-in' type='checkbox'><label for='data-24cf9220-aabd-4e9a-ac41-3e18b957e48b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>msg_seviri_fes_3km</dd></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d6ec6948-3985-4b31-879c-1dea8bdb9334' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6ec6948-3985-4b31-879c-1dea8bdb9334' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40136673-fb5b-439c-b4da-6a16a86a3a9a' class='xr-var-data-in' type='checkbox'><label for='data-40136673-fb5b-439c-b4da-6a16a86a3a9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df4ed285-3a91-48d6-b427-f478fdd5c94d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df4ed285-3a91-48d6-b427-f478fdd5c94d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f7c660f-6001-4ed5-b308-e5a11dfac38d' class='xr-var-data-in' type='checkbox'><label for='data-6f7c660f-6001-4ed5-b308-e5a11dfac38d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1024 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;IR_016&#x27; &#x27;IR_039&#x27; ... &#x27;WV_073&#x27;</div><input id='attrs-a378a97b-2b6c-4b0a-b1f7-2f7de3a60584' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a378a97b-2b6c-4b0a-b1f7-2f7de3a60584' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31fb7f27-9c93-47fb-a761-117814f0454c' class='xr-var-data-in' type='checkbox'><label for='data-31fb7f27-9c93-47fb-a761-117814f0454c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IR_016&#x27;, &#x27;IR_039&#x27;, &#x27;IR_087&#x27;, &#x27;IR_097&#x27;, &#x27;IR_108&#x27;, &#x27;IR_120&#x27;, &#x27;IR_134&#x27;,\n",
+       "       &#x27;VIS006&#x27;, &#x27;VIS008&#x27;, &#x27;WV_062&#x27;, &#x27;WV_073&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U19</div><div class='xr-var-preview xr-preview'>&#x27;2020-10-01 09:00:00&#x27;</div><input id='attrs-ae99959a-c764-44e5-9963-15806d8f7e3e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae99959a-c764-44e5-9963-15806d8f7e3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a04f46f3-a489-433b-a2c4-1c45bb0546b1' class='xr-var-data-in' type='checkbox'><label for='data-a04f46f3-a489-433b-a2c4-1c45bb0546b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-01 09:00:00&#x27;], dtype=&#x27;&lt;U19&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band_wavelength</span></div><div class='xr-var-dims'>(band_wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 3.92 8.7 ... 0.81 6.25 7.35</div><input id='attrs-0fb67c65-07ad-408b-a09f-881c638be5eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fb67c65-07ad-408b-a09f-881c638be5eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-877ea629-2b68-411e-8d0a-038a9c3f533d' class='xr-var-data-in' type='checkbox'><label for='data-877ea629-2b68-411e-8d0a-038a9c3f533d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.64,  3.92,  8.7 ,  9.66, 10.8 , 12.  , 13.4 ,  0.64,  0.81,  6.25,\n",
+       "        7.35])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a1350f8-9146-4f84-8083-6ed5554a1202' class='xr-section-summary-in' type='checkbox'  ><label for='section-0a1350f8-9146-4f84-8083-6ed5554a1202' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rad</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d00d28f-73f2-456e-b788-4a8a8a5bdb46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d00d28f-73f2-456e-b788-4a8a8a5bdb46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60212364-247b-4e8d-a274-d22a568b81eb' class='xr-var-data-in' type='checkbox'><label for='data-60212364-247b-4e8d-a274-d22a568b81eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>calibration :</span></dt><dd>radiance</dd><dt><span>end_time :</span></dt><dd>2020-10-01 09:15:00</dd><dt><span>georef_offset_corrected :</span></dt><dd>true</dd><dt><span>modifiers :</span></dt><dd>[]</dd><dt><span>orbital_parameters :</span></dt><dd>{&quot;projection_longitude&quot;: 0.0, &quot;projection_latitude&quot;: 0.0, &quot;projection_altitude&quot;: 35785831.0, &quot;satellite_nominal_longitude&quot;: 0.0, &quot;satellite_nominal_latitude&quot;: 0.0, &quot;satellite_actual_longitude&quot;: 0.14423929460068785, &quot;satellite_actual_latitude&quot;: -0.5082020253357726, &quot;satellite_actual_altitude&quot;: 35779117.54014481}</dd><dt><span>platform_name :</span></dt><dd>Meteosat-11</dd><dt><span>reader :</span></dt><dd>seviri_l1b_native</dd><dt><span>resolution :</span></dt><dd>3000.403165817</dd><dt><span>sensor :</span></dt><dd>seviri</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavenumber</dd><dt><span>start_time :</span></dt><dd>2020-10-01 09:00:00</dd><dt><span>time_parameters :</span></dt><dd>{&quot;nominal_start_time&quot;: &quot;2020-10-01 09:00:00&quot;, &quot;nominal_end_time&quot;: &quot;2020-10-01 09:15:00&quot;, &quot;observation_start_time&quot;: &quot;2020-10-01 09:00:11.099000&quot;, &quot;observation_end_time&quot;: &quot;2020-10-01 09:12:43.553000&quot;}</dd><dt><span>units :</span></dt><dd>mW m-2 sr-1 (cm-1)-1</dd><dt><span>wavelength :</span></dt><dd>1.64 µm (1.5-1.78 µm)</dd><dt><span>grid_mapping :</span></dt><dd>msg_seviri_fes_3km</dd></dl></div><div class='xr-var-data'><pre>[11264 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2efc0a43-29a7-4146-9c14-1b1d04f6b56d' class='xr-section-summary-in' type='checkbox'  ><label for='section-2efc0a43-29a7-4146-9c14-1b1d04f6b56d' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5121f185-3dac-4be0-b242-a48558abcc1e' class='xr-index-data-in' type='checkbox'/><label for='index-5121f185-3dac-4be0-b242-a48558abcc1e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-5135690.421462059, -5130690.421462059, -5125690.421462059,\n",
        "       -5120690.421462059, -5115690.421462059, -5110690.421462059,\n",
        "       -5105690.421462059, -5100690.421462059, -5095690.421462059,\n",
        "       -5090690.421462059, -5085690.421462059, -5080690.421462059,\n",
@@ -1288,7 +1288,7 @@
        "       -5015690.421462059, -5010690.421462059, -5005690.421462059,\n",
        "       -5000690.421462059, -4995690.421462059, -4990690.421462059,\n",
        "       -4985690.421462059, -4980690.421462059],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-06b2d33a-069b-4664-b145-cb647db50fee' class='xr-index-data-in' type='checkbox'/><label for='index-06b2d33a-069b-4664-b145-cb647db50fee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([542073.1745958328, 537073.1745958328, 532073.1745958328,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4e491af7-37e9-4343-9215-08e92b0e5098' class='xr-index-data-in' type='checkbox'/><label for='index-4e491af7-37e9-4343-9215-08e92b0e5098' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([542073.1745958328, 537073.1745958328, 532073.1745958328,\n",
        "       527073.1745958328, 522073.1745958328, 517073.1745958328,\n",
        "       512073.1745958328, 507073.1745958328, 502073.1745958328,\n",
        "       497073.1745958328, 492073.1745958328, 487073.1745958328,\n",
@@ -1299,9 +1299,9 @@
        "       422073.1745958328, 417073.1745958328, 412073.1745958328,\n",
        "       407073.1745958328, 402073.1745958328, 397073.1745958328,\n",
        "       392073.1745958328, 387073.1745958328],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-be7967dc-c077-45fb-baec-da72f613a439' class='xr-index-data-in' type='checkbox'/><label for='index-be7967dc-c077-45fb-baec-da72f613a439' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;IR_016&#x27;, &#x27;IR_039&#x27;, &#x27;IR_087&#x27;, &#x27;IR_097&#x27;, &#x27;IR_108&#x27;, &#x27;IR_120&#x27;, &#x27;IR_134&#x27;,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4eb94a1e-f600-46d8-9b1b-27a95252c1cb' class='xr-index-data-in' type='checkbox'/><label for='index-4eb94a1e-f600-46d8-9b1b-27a95252c1cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;IR_016&#x27;, &#x27;IR_039&#x27;, &#x27;IR_087&#x27;, &#x27;IR_097&#x27;, &#x27;IR_108&#x27;, &#x27;IR_120&#x27;, &#x27;IR_134&#x27;,\n",
        "       &#x27;VIS006&#x27;, &#x27;VIS008&#x27;, &#x27;WV_062&#x27;, &#x27;WV_073&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-469b1b9a-4c7a-48d7-a0a0-ff70082b5c8e' class='xr-index-data-in' type='checkbox'/><label for='index-469b1b9a-4c7a-48d7-a0a0-ff70082b5c8e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2020-10-01 09:00:00&#x27;], dtype=&#x27;object&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band_wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-848405eb-b737-4ba9-a25f-0ff12131b386' class='xr-index-data-in' type='checkbox'/><label for='index-848405eb-b737-4ba9-a25f-0ff12131b386' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.64, 3.92, 8.7, 9.66, 10.8, 12.0, 13.4, 0.64, 0.81, 6.25, 7.35], dtype=&#x27;float64&#x27;, name=&#x27;band_wavelength&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-84f1262e-e91a-41a4-bab0-99b859f34ba4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-84f1262e-e91a-41a4-bab0-99b859f34ba4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;object&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e600f585-9ff0-4bea-8f91-7247293bb984' class='xr-index-data-in' type='checkbox'/><label for='index-e600f585-9ff0-4bea-8f91-7247293bb984' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2020-10-01 09:00:00&#x27;], dtype=&#x27;object&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band_wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-67ef444c-4021-4a7c-90f6-40ff348d0bb7' class='xr-index-data-in' type='checkbox'/><label for='index-67ef444c-4021-4a7c-90f6-40ff348d0bb7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.64, 3.92, 8.7, 9.66, 10.8, 12.0, 13.4, 0.64, 0.81, 6.25, 7.35], dtype=&#x27;float64&#x27;, name=&#x27;band_wavelength&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6adb5224-4847-4408-b2f0-ec2dd6024ca5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6adb5224-4847-4408-b2f0-ec2dd6024ca5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 71kB\n",
@@ -1310,7 +1310,7 @@
        "Data variables: (1)"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1323,13 +1323,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 14,
    "id": "b4707555-625c-430c-93ef-10f46d46ab88",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -1389,7 +1389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 15,
    "id": "1d9b5d86-625c-4f6f-9dc5-46ca6d305a4a",
    "metadata": {},
    "outputs": [
@@ -1397,9 +1397,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.11/site-packages/goes2go/data.py:519: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
+      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.10/site-packages/goes2go/data.py:519: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
       "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n",
-      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.11/site-packages/goes2go/NEW.py:188: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
+      "/home/juanjohn/miniconda/envs/rs_tools/lib/python3.10/site-packages/goes2go/NEW.py:188: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
       "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n"
      ]
     }
@@ -1421,7 +1421,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 16,
    "id": "9ba21c4b-89a9-45d8-87e6-1ee34f436e8f",
    "metadata": {},
    "outputs": [],
@@ -1448,7 +1448,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 17,
    "id": "4f9af252-b6e1-4577-82df-0846f466a391",
    "metadata": {},
    "outputs": [],
@@ -1459,7 +1459,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 18,
    "id": "91200aa6-6e72-40bc-855f-eeadb0e3f3bd",
    "metadata": {},
    "outputs": [],
@@ -1469,7 +1469,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 19,
    "id": "3b5904f6-e7f1-4cef-a9ca-42470b226330",
    "metadata": {},
    "outputs": [
@@ -1479,7 +1479,7 @@
        "['data', 'wavelengths', 'coords', 'cloud_mask']"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1490,7 +1490,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 20,
    "id": "19a8ee9e-7b14-42fa-92e7-b77cf87dcb26",
    "metadata": {},
    "outputs": [
@@ -1500,7 +1500,7 @@
        "(torch.Size([8, 11, 32, 32]), torch.Size([8, 2, 32, 32]))"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1527,7 +1527,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 21,
    "id": "12a71034-aa32-47bb-9aae-0f04c2082f8f",
    "metadata": {},
    "outputs": [],
@@ -1549,7 +1549,7 @@
     "ds = NCDataReader(f\"{save_dir}/msg/analysis\", transforms=transforms)\n",
     "\n",
     "# initialize dataloader\n",
-    "dl = DataLoader(ds, batch_size=8)\n",
+    "dl = DataLoader(ds, batch_size=1)\n",
     "\n",
     "# do one iteration\n",
     "out = next(iter(dl))\n",
@@ -1593,7 +1593,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/dev/pipelines/1.1-pipeline-goes16.ipynb b/notebooks/dev/pipelines/1.1-pipeline-goes16.ipynb
index 431dd52..5e25b6b 100644
--- a/notebooks/dev/pipelines/1.1-pipeline-goes16.ipynb
+++ b/notebooks/dev/pipelines/1.1-pipeline-goes16.ipynb
@@ -5925,7 +5925,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -5939,7 +5939,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/dev/pipelines/1.2-pipeline-msg.ipynb b/notebooks/dev/pipelines/1.2-pipeline-msg.ipynb
index 756feca..cb2816f 100644
--- a/notebooks/dev/pipelines/1.2-pipeline-msg.ipynb
+++ b/notebooks/dev/pipelines/1.2-pipeline-msg.ipynb
@@ -23,11 +23,14 @@
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/iti-env/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'autoroot'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mautoroot\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mrs_tools\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_src\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mio\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m get_list_filenames\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mrioxarray\u001b[39;00m\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'autoroot'"
      ]
     }
    ],
@@ -8837,7 +8840,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "iti-env",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -8851,7 +8854,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/rs_tools/_src/data/goes/downloader_goes16.py b/rs_tools/_src/data/goes/downloader_goes16.py
index e44a6cd..c8b0b70 100644
--- a/rs_tools/_src/data/goes/downloader_goes16.py
+++ b/rs_tools/_src/data/goes/downloader_goes16.py
@@ -109,6 +109,7 @@ def download(
     Returns:
         List[str]: List of downloaded file names
     """
+    logger.debug(f"Save Path: {save_dir}")
     logger.debug(f"TIME STEP: {time_step}")
     # Initialize GOES 16 Downloader
     logger.info("Initializing GOES16 Downloader...")
diff --git a/rs_tools/_src/geoprocessing/goes/geoprocessor_goes16.py b/rs_tools/_src/geoprocessing/goes/geoprocessor_goes16.py
index 94be5c6..9e63490 100644
--- a/rs_tools/_src/geoprocessing/goes/geoprocessor_goes16.py
+++ b/rs_tools/_src/geoprocessing/goes/geoprocessor_goes16.py
@@ -361,6 +361,8 @@ def geoprocess(
     Returns:
         None
     """
+    logger.debug(f"Read Path: {read_path}")
+    logger.debug(f"Save Path: {save_path}")
     # Initialize GOES 16 GeoProcessor
     logger.info(f"Initializing GOES16 GeoProcessor...")
     # Extracting region from str

From e2f5e8d8496d2c4da3a1dc3138d92722db83233b Mon Sep 17 00:00:00 2001
From: annajungbluth <anna.jungbluth1993@gmail.com>
Date: Wed, 12 Jun 2024 18:44:13 +0000
Subject: [PATCH 2/4] added scripts to run day and all downloading

---
 rs_tools/_src/data/modis/downloader_aqua.py   |  11 +-
 .../_src/data/modis/downloader_aqua_day.py    | 108 ++++++++++++++++++
 rs_tools/_src/data/modis/downloader_terra.py  |  11 +-
 .../_src/data/modis/downloader_terra_day.py   | 108 ++++++++++++++++++
 4 files changed, 224 insertions(+), 14 deletions(-)
 create mode 100644 rs_tools/_src/data/modis/downloader_aqua_day.py
 create mode 100644 rs_tools/_src/data/modis/downloader_terra_day.py

diff --git a/rs_tools/_src/data/modis/downloader_aqua.py b/rs_tools/_src/data/modis/downloader_aqua.py
index 9dfc115..8dd6c6e 100644
--- a/rs_tools/_src/data/modis/downloader_aqua.py
+++ b/rs_tools/_src/data/modis/downloader_aqua.py
@@ -1,9 +1,6 @@
 """
-A General Pipeline for create ML-Ready Data
-- Downloading the Data
-- Data Harmonization
-- Normalizing
-- Patching
+Pipeline for downloading AQUA MODIS data
+- Daytime and nightime data
 """
 import autoroot
 import numpy as np
@@ -39,7 +36,7 @@ def download(self) -> List[str]:
             processing_level='L1b',
             resolution="1KM",
             bounding_box=self.bounding_box,
-            day_night_flag="day",
+            day_night_flag=None,
             identifier= "02"
             )
         return aqua_files
@@ -56,7 +53,7 @@ def download_cloud_mask(self) -> List[str]:
             processing_level='L2',
             resolution="1KM",
             bounding_box=self.bounding_box,
-            day_night_flag="day",
+            day_night_flag=None,
             identifier= "35"
             )
         return aqua_files
diff --git a/rs_tools/_src/data/modis/downloader_aqua_day.py b/rs_tools/_src/data/modis/downloader_aqua_day.py
new file mode 100644
index 0000000..36e7d37
--- /dev/null
+++ b/rs_tools/_src/data/modis/downloader_aqua_day.py
@@ -0,0 +1,108 @@
+"""
+Pipeline for downloading AQUA MODIS data
+- Only daytime data
+"""
+import autoroot
+import numpy as np
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+from rs_tools import modis_download
+
+import typer
+from loguru import logger
+
+
+@dataclass
+class MODISAquaDownload:
+    """Downloading class for AQUA/MODIS data and cloud mask"""
+    start_date: str
+    end_date: str
+    start_time: str
+    end_time: str
+    save_dir: str
+    bounding_box: tuple[float, float, float, float]
+    
+    def download(self) -> List[str]:
+        aqua_files = modis_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time, 
+            end_time=self.end_time,
+            day_step=1,
+            satellite="Aqua",
+            save_dir=Path(self.save_dir).joinpath("L1b"),
+            processing_level='L1b',
+            resolution="1KM",
+            bounding_box=self.bounding_box,
+            day_night_flag="day",
+            identifier= "02"
+            )
+        return aqua_files
+    
+    def download_cloud_mask(self) -> List[str]:
+        aqua_files = modis_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time, 
+            end_time=self.end_time,
+            day_step=1,
+            satellite="Aqua",
+            save_dir=Path(self.save_dir).joinpath("CM"),
+            processing_level='L2',
+            resolution="1KM",
+            bounding_box=self.bounding_box,
+            day_night_flag="day",
+            identifier= "35"
+            )
+        return aqua_files
+
+
+def download(
+        start_date: str = "2020-10-01", 
+        end_date: str = "2020-10-01",
+        start_time: str = "14:00:00",
+        end_time: str = "21:00:00",
+        save_dir: str = "./data/",
+        region: str = "-130 -15 -90 5",
+        cloud_mask: bool = True
+):
+    """
+    Downloads AQUA MODIS data including cloud mask
+
+    Args:
+        start_date (str): The start date of the period to download files for in the format "YYYY-MM-DD".
+        end_date (str): The end date of the period to download files for in the format "YYYY-MM-DD".
+        start_time (str): The start time of the period to download files for in the format "HH:MM:SS".
+        end_time (str): The end time of the period to download files for in the format "HH:MM:SS".
+        save_dir (str): The directory path to save the downloaded files.
+        region (str, optional): The geographic region to download files for in the format "min_lon min_lat max_lon max_lat".
+        cloud_mask (bool, optional): Whether to download the cloud mask data (default: True).
+
+    Returns:
+        None
+    """
+    bounding_box = tuple(map(lambda x: int(x), region.split(" ")))
+    # Initialize AQUA Downloader
+    logger.info("Initializing AQUA Downloader...")
+    dc_aqua_download = MODISAquaDownload(
+        start_date=start_date,
+        end_date=end_date,
+        start_time=start_time,
+        end_time=end_time,
+        save_dir=Path(save_dir).joinpath("aqua"),
+        bounding_box=bounding_box,
+    )
+    logger.info("Downloading AQUA Data...")
+    modis_filenames = dc_aqua_download.download()
+    logger.info("Done!")
+    if cloud_mask:
+        logger.info("Downloading AQUA Cloud Mask...")
+        modis_filenames = dc_aqua_download.download_cloud_mask()
+        logger.info("Done!")
+
+    logger.info("Finished AQUA Downloading Script...")
+
+if __name__ == '__main__':
+    typer.run(download)
\ No newline at end of file
diff --git a/rs_tools/_src/data/modis/downloader_terra.py b/rs_tools/_src/data/modis/downloader_terra.py
index 2b49d08..ac949c3 100644
--- a/rs_tools/_src/data/modis/downloader_terra.py
+++ b/rs_tools/_src/data/modis/downloader_terra.py
@@ -1,9 +1,6 @@
 """
-A General Pipeline for create ML-Ready Data
-- Downloading the Data
-- Data Harmonization
-- Normalizing
-- Patching
+Pipeline for downloading TERRA MODIS data
+- Daytime and nightime data
 """
 import autoroot
 import numpy as np
@@ -39,7 +36,7 @@ def download(self) -> List[str]:
             processing_level='L1b',
             resolution="1KM",
             bounding_box=self.bounding_box,
-            day_night_flag="day",
+            day_night_flag=None,
             identifier= "02"
             )
         return terra_files
@@ -56,7 +53,7 @@ def download_cloud_mask(self) -> List[str]:
             processing_level='L2',
             resolution="1KM",
             bounding_box=self.bounding_box,
-            day_night_flag="day",
+            day_night_flag=None,
             identifier= "35"
             )
         return terra_files
diff --git a/rs_tools/_src/data/modis/downloader_terra_day.py b/rs_tools/_src/data/modis/downloader_terra_day.py
new file mode 100644
index 0000000..a22613e
--- /dev/null
+++ b/rs_tools/_src/data/modis/downloader_terra_day.py
@@ -0,0 +1,108 @@
+"""
+Pipeline for downloading TERRA MODIS data
+- Only daytime data
+"""
+import autoroot
+import numpy as np
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+from rs_tools import modis_download
+
+import typer
+from loguru import logger
+
+
+@dataclass
+class MODISTerraDownload:
+    """Downloading class for TERRA/MODIS data and cloud mask"""
+    start_date: str
+    end_date: str
+    start_time: str
+    end_time: str
+    save_dir: str
+    bounding_box: tuple[float, float, float, float]
+    
+    def download(self) -> List[str]:
+        terra_files = modis_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time, 
+            end_time=self.end_time,
+            day_step=1,
+            satellite="Terra",
+            save_dir=Path(self.save_dir).joinpath("L1b"),
+            processing_level='L1b',
+            resolution="1KM",
+            bounding_box=self.bounding_box,
+            day_night_flag="day",
+            identifier= "02"
+            )
+        return terra_files
+    
+    def download_cloud_mask(self) -> List[str]:
+        terra_files = modis_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time, 
+            end_time=self.end_time,
+            day_step=1,
+            satellite="Terra",
+            save_dir=Path(self.save_dir).joinpath("CM"),
+            processing_level='L2',
+            resolution="1KM",
+            bounding_box=self.bounding_box,
+            day_night_flag="day",
+            identifier= "35"
+            )
+        return terra_files
+
+
+def download(
+        start_date: str = "2020-10-01", 
+        end_date: str = "2020-10-01",
+        start_time: str = "14:00:00",
+        end_time: str = "21:00:00",
+        save_dir: str = "./data/",
+        region: str = "-130 -15 -90 5",
+        cloud_mask: bool = True
+):
+    """
+    Downloads TERRA MODIS data including cloud mask
+
+    Args:
+        start_date (str): The start date of the period to download files for in the format "YYYY-MM-DD".
+        end_date (str): The end date of the period to download files for in the format "YYYY-MM-DD".
+        start_time (str): The start time of the period to download files for in the format "HH:MM:SS".
+        end_time (str): The end time of the period to download files for in the format "HH:MM:SS".
+        save_dir (str): The directory path to save the downloaded files.
+        region (str, optional): The geographic region to download files for in the format "min_lon min_lat max_lon max_lat".
+        cloud_mask (bool, optional): Whether to download the cloud mask data (default: True).
+
+    Returns:
+        None
+    """
+    bounding_box = tuple(map(lambda x: int(x), region.split(" ")))
+    # Initialize TERRA Downloader
+    logger.info("Initializing TERRA Downloader...")
+    dc_terra_download = MODISTerraDownload(
+        start_date=start_date,
+        end_date=end_date,
+        start_time=start_time,
+        end_time=end_time,
+        save_dir=Path(save_dir).joinpath("terra"),
+        bounding_box=bounding_box,
+    )
+    logger.info("Downloading TERRA Data...")
+    modis_filenames = dc_terra_download.download()
+    logger.info("Done!")
+    if cloud_mask:
+        logger.info("Downloading TERRA Cloud Mask...")
+        modis_filenames = dc_terra_download.download_cloud_mask()
+        logger.info("Done!")
+
+    logger.info("Finished TERRA Downloading Script...")
+
+if __name__ == '__main__':
+    typer.run(download)
\ No newline at end of file

From 382f0f9dbc748c064be621b48a716929a43c0c51 Mon Sep 17 00:00:00 2001
From: Lilli Freischem <ljfreischem@gmail.com>
Date: Fri, 14 Jun 2024 10:44:31 +0000
Subject: [PATCH 3/4] changed timings of MSG download script, modis and msg
 time matching in notebooks

---
 notebooks/dev/modis/0.2-MODIS-download.ipynb  | 308 +++++++++++++++++-
 .../dev/msg/2.1-MSG-download-1time.ipynb      | 246 ++++++++++++++
 rs_tools/_src/data/msg/download.py            |  18 +-
 3 files changed, 554 insertions(+), 18 deletions(-)
 create mode 100644 notebooks/dev/msg/2.1-MSG-download-1time.ipynb

diff --git a/notebooks/dev/modis/0.2-MODIS-download.ipynb b/notebooks/dev/modis/0.2-MODIS-download.ipynb
index d4fdecf..4e9ca3e 100644
--- a/notebooks/dev/modis/0.2-MODIS-download.ipynb
+++ b/notebooks/dev/modis/0.2-MODIS-download.ipynb
@@ -10,10 +10,102 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "47917187-bb0d-424b-b94d-c84f420402d3",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting modis-tools\n",
+      "  Downloading modis_tools-1.1.4-py3-none-any.whl.metadata (11 kB)\n",
+      "Requirement already satisfied: requests==2.* in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from modis-tools) (2.32.3)\n",
+      "Collecting pydantic==1.* (from modis-tools)\n",
+      "  Downloading pydantic-1.10.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (151 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m151.1/151.1 kB\u001b[0m \u001b[31m9.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: python-dateutil==2.* in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from modis-tools) (2.9.0)\n",
+      "Requirement already satisfied: shapely==2.* in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from modis-tools) (2.0.4)\n",
+      "Requirement already satisfied: tqdm>=4.42.0 in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from modis-tools) (4.66.4)\n",
+      "Requirement already satisfied: typing-extensions>=4.2.0 in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from pydantic==1.*->modis-tools) (4.11.0)\n",
+      "Requirement already satisfied: six>=1.5 in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from python-dateutil==2.*->modis-tools) (1.16.0)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from requests==2.*->modis-tools) (3.3.2)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from requests==2.*->modis-tools) (3.7)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from requests==2.*->modis-tools) (1.26.15)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from requests==2.*->modis-tools) (2024.2.2)\n",
+      "Requirement already satisfied: numpy<3,>=1.14 in /opt/conda/envs/rs_tools/lib/python3.11/site-packages (from shapely==2.*->modis-tools) (1.26.4)\n",
+      "Downloading modis_tools-1.1.4-py3-none-any.whl (26 kB)\n",
+      "Downloading pydantic-1.10.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m99.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: pydantic, modis-tools\n",
+      "Successfully installed modis-tools-1.1.4 pydantic-1.10.16\n",
+      "^C\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/conda/envs/rs_tools/bin/pip\", line 10, in <module>\n",
+      "    sys.exit(main())\n",
+      "             ^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/cli/main.py\", line 79, in main\n",
+      "    return command.main(cmd_args)\n",
+      "           ^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/cli/base_command.py\", line 101, in main\n",
+      "    return self._main(args)\n",
+      "           ^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/cli/base_command.py\", line 236, in _main\n",
+      "    self.handle_pip_version_check(options)\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/cli/req_command.py\", line 188, in handle_pip_version_check\n",
+      "    pip_self_version_check(session, options)\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/self_outdated_check.py\", line 236, in pip_self_version_check\n",
+      "    upgrade_prompt = _self_version_check_logic(\n",
+      "                     ^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/self_outdated_check.py\", line 209, in _self_version_check_logic\n",
+      "    pip_installed_by_pip = was_installed_by_pip(\"pip\")\n",
+      "                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/self_outdated_check.py\", line 158, in was_installed_by_pip\n",
+      "    dist = get_default_environment().get_distribution(pkg)\n",
+      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/metadata/importlib/_envs.py\", line 189, in get_distribution\n",
+      "    return next(matches, None)\n",
+      "           ^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/metadata/importlib/_envs.py\", line 184, in <genexpr>\n",
+      "    matches = (\n",
+      "              ^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/metadata/base.py\", line 626, in iter_all_distributions\n",
+      "    for dist in self._iter_distributions():\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/metadata/importlib/_envs.py\", line 176, in _iter_distributions\n",
+      "    yield from finder.find(location)\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/metadata/importlib/_envs.py\", line 79, in find\n",
+      "    for dist, info_location in self._find_impl(location):\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/metadata/importlib/_envs.py\", line 64, in _find_impl\n",
+      "    raw_name = get_dist_name(dist)\n",
+      "               ^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/site-packages/pip/_internal/metadata/importlib/_compat.py\", line 52, in get_dist_name\n",
+      "    name = cast(Any, dist).name\n",
+      "           ^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/importlib/metadata/__init__.py\", line 622, in name\n",
+      "    return self.metadata['Name']\n",
+      "           ^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/importlib/metadata/__init__.py\", line 617, in metadata\n",
+      "    return _adapters.Message(email.message_from_string(text))\n",
+      "                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/email/__init__.py\", line 37, in message_from_string\n",
+      "    return Parser(*args, **kws).parsestr(s)\n",
+      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/email/parser.py\", line 67, in parsestr\n",
+      "    return self.parse(StringIO(text), headersonly=headersonly)\n",
+      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/email/parser.py\", line 49, in parse\n",
+      "    feedparser = FeedParser(self._class, policy=self.policy)\n",
+      "                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/email/feedparser.py\", line 160, in __init__\n",
+      "    self._input = BufferedSubFile()\n",
+      "                  ^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/conda/envs/rs_tools/lib/python3.11/email/feedparser.py\", line 55, in __init__\n",
+      "    self._partial = StringIO(newline='')\n",
+      "                    ^^^^^^^^^^^^^^^^^^^^\n",
+      "KeyboardInterrupt\n"
+     ]
+    }
+   ],
    "source": [
     "!pip install modis-tools"
    ]
@@ -114,7 +206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "d1c63a79",
    "metadata": {},
    "outputs": [],
@@ -124,13 +216,13 @@
     "# environment variables\n",
     "\n",
     "import os\n",
-    "os.environ['EARTHDATA_USERNAME'] = ''\n",
-    "os.environ['EARTHDATA_PASSWORD'] = ''"
+    "os.environ['EARTHDATA_USERNAME'] = 'Lillie'\n",
+    "os.environ['EARTHDATA_PASSWORD'] = 'pivqet-Vudpyk-dapcy9'"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,7 +232,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "5201d291",
    "metadata": {},
    "outputs": [
@@ -165,6 +257,206 @@
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('2018-10-01T10:30:00.000Z', '2018-10-01T10:35:00.000Z')"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "granule = results[0]\n",
+    "t0 = granule['umm']['TemporalExtent']['RangeDateTime']['BeginningDateTime']\n",
+    "t1 = granule['umm']['TemporalExtent']['RangeDateTime']['EndingDateTime']\n",
+    "\n",
+    "t0, t1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "earthaccess.results.DataGranule"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(granule)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import autoroot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/envs/rs_tools/lib/python3.11/site-packages/goes2go/data.py:519: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
+      "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n",
+      "/opt/conda/envs/rs_tools/lib/python3.11/site-packages/goes2go/NEW.py:188: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
+      "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n"
+     ]
+    }
+   ],
+   "source": [
+    "from rs_tools._src.data.msg.download import msg_download"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "a027bb10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataclasses import dataclass\n",
+    "from datetime import datetime\n",
+    "\n",
+    "def modis_granule_to_datetime(granule: earthaccess.results.DataGranule) -> datetime:\n",
+    "    \"\"\"\n",
+    "    Function to convert a MODIS granule to a datetime object.\n",
+    "    :param granule: MODIS granule\n",
+    "    :return: datetime object\n",
+    "    \"\"\"\n",
+    "    return datetime.strptime(granule['umm']['TemporalExtent']['RangeDateTime']['BeginningDateTime'], \"%Y-%m-%dT%H:%M:%S.%fZ\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(datetime.datetime(2018, 10, 1, 10, 30), '2018-10-01', '10:30:00')"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modis_granule_to_datetime(granule), str(modis_granule_to_datetime(granule).date()), str(modis_granule_to_datetime(granule).time())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2018, 10, 1, 10, 30, 0, '2018-10-01', '10:30:00')"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from datetime import datetime\n",
+    "\n",
+    "t_test = datetime.strptime(t0.time_stamp, \"%Y-%m-%dT%H:%M:%S.%fZ\")\n",
+    "t_test.year, t_test.month, t_test.day, t_test.hour, t_test.minute, t_test.second, str(t_test.date()), str(t_test.time())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('2018-10-01', '10:30:00', '2018-10-01', '10:35:00')"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "t0.day, t0.time, t1.day, t1.time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('2018-10-01', '10:30:00')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "day, time = t0.split('T')\n",
+    "time = time.split('.')[0]\n",
+    "day, time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "files = msg_download(\n",
+    "    start_date='2020-10-01',\n",
+    "    end_date ='2020-10-01',\n",
+    "    start_time='09:55:00', # EUMDAC did not find any data for 00:00:00\n",
+    "    end_time='10:05:00', # EUMDAC did not find any data for 23:59:00\n",
+    "    # daily_window_t0='00:00:00',\n",
+    "    # daily_window_t1='23:59:00',\n",
+    "    time_step='00:15:00', # choose 1 hr because the start/end-time has priority\n",
+    "    satellite=\"MSG\",\n",
+    "    instrument=\"HRSEVIRI\",\n",
+    "    processing_level= \"L1\",\n",
+    "    save_dir = \"./\",\n",
+    "    eumdac_key=\"trqBTCJCAQmTCZZkiA0Gt0Lfva4a\",\n",
+    "    eumdac_secret=\"14XYoaJGRnj3KdhqNYxb7knnKs4a\",\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -4715,7 +5007,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.1"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/dev/msg/2.1-MSG-download-1time.ipynb b/notebooks/dev/msg/2.1-MSG-download-1time.ipynb
new file mode 100644
index 0000000..0fabb95
--- /dev/null
+++ b/notebooks/dev/msg/2.1-MSG-download-1time.ipynb
@@ -0,0 +1,246 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/envs/rs_tools/lib/python3.11/site-packages/goes2go/data.py:519: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
+      "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n",
+      "/opt/conda/envs/rs_tools/lib/python3.11/site-packages/goes2go/NEW.py:188: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
+      "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n"
+     ]
+    }
+   ],
+   "source": [
+    "import autoroot\n",
+    "from rs_tools._src.data.msg.download import msg_download\n",
+    "\n",
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "-> Choose Nearest **(*\n",
+    "**Q**: \n",
+    "**Solutin**: (*A - *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-06-14 10:29:38.637\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mrs_tools._src.data.msg.download\u001b[0m:\u001b[36m_check_eumdac_login\u001b[0m:\u001b[36m222\u001b[0m - \u001b[1mEUMDAC login successful. Token '3126639a-3041-3aa7-befc-ba07a31ae183' expires 2024-06-14 11:20:42.562847\u001b[0m\n",
+      "\u001b[32m2024-06-14 10:29:38.638\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mrs_tools._src.data.msg.download\u001b[0m:\u001b[36mmsg_download\u001b[0m:\u001b[36m95\u001b[0m - \u001b[1mData Product: EO:EUM:DAT:MSG:HRSEVIRI\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Times to check:  2020-10-01 10:03:00 2020-10-01 10:03:00\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Time - 2020-10-01 10:03:00: 100%|██████████| 1/1 [00:04<00:00,  4.17s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Successfully downloaded MSG4-SEVI-MSG15-0100-NA-20201001101243.761000000Z-NA.nat.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "files = msg_download(\n",
+    "    start_date='2020-10-01',\n",
+    "    end_date ='2020-10-01',\n",
+    "    # # CASE I - will work with old code\n",
+    "    # start_time='09:55:00', # EUMDAC did not find any data for 00:00:00\n",
+    "    # end_time='10:05:00', # EUMDAC did not find any data for 23:59:00\n",
+    "    # # CASE II - will work with new code\n",
+    "    start_time='10:03:00', # EUMDAC did not find any data for 00:00:00\n",
+    "    end_time='10:10:00', # EUMDAC did not find any data for 23:59:00\n",
+    "    # daily_window_t0='00:00:00',\n",
+    "    # daily_window_t1='23:59:00',\n",
+    "    time_step='00:15:00', # choose 1 hr because the start/end-time has priority\n",
+    "    satellite=\"MSG\",\n",
+    "    instrument=\"HRSEVIRI\",\n",
+    "    processing_level= \"L1\",\n",
+    "    save_dir = \"./\",\n",
+    "    eumdac_key=\"trqBTCJCAQmTCZZkiA0Gt0Lfva4a\",\n",
+    "    eumdac_secret=\"14XYoaJGRnj3KdhqNYxb7knnKs4a\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'msg_download' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# did not work with previous version\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m files \u001b[38;5;241m=\u001b[39m \u001b[43mmsg_download\u001b[49m(\n\u001b[1;32m      3\u001b[0m     start_date\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2020-10-01\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m      4\u001b[0m     end_date \u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2020-10-01\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m      5\u001b[0m     start_time\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m10:00:00\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;66;03m# EUMDAC did not find any data for 00:00:00\u001b[39;00m\n\u001b[1;32m      6\u001b[0m     end_time\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m10:05:00\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;66;03m# EUMDAC did not find any data for 23:59:00\u001b[39;00m\n\u001b[1;32m      7\u001b[0m     \u001b[38;5;66;03m# daily_window_t0='00:00:00',\u001b[39;00m\n\u001b[1;32m      8\u001b[0m     \u001b[38;5;66;03m# daily_window_t1='23:59:00',\u001b[39;00m\n\u001b[1;32m      9\u001b[0m     time_step\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m00:15:00\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;66;03m# choose 1 hr because the start/end-time has priority\u001b[39;00m\n\u001b[1;32m     10\u001b[0m     satellite\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMSG\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m     11\u001b[0m     instrument\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mHRSEVIRI\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m     12\u001b[0m     processing_level\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mL1\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m     13\u001b[0m     save_dir \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m     14\u001b[0m     eumdac_key\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrqBTCJCAQmTCZZkiA0Gt0Lfva4a\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m     15\u001b[0m     eumdac_secret\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m14XYoaJGRnj3KdhqNYxb7knnKs4a\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m     16\u001b[0m )\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'msg_download' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# did not work with previous version\n",
+    "files = msg_download(\n",
+    "    start_date='2020-10-01',\n",
+    "    end_date ='2020-10-01',\n",
+    "    start_time='10:00:00', # EUMDAC did not find any data for 00:00:00\n",
+    "    end_time='10:05:00', # EUMDAC did not find any data for 23:59:00\n",
+    "    # daily_window_t0='00:00:00',\n",
+    "    # daily_window_t1='23:59:00',\n",
+    "    time_step='00:15:00', # choose 1 hr because the start/end-time has priority\n",
+    "    satellite=\"MSG\",\n",
+    "    instrument=\"HRSEVIRI\",\n",
+    "    processing_level= \"L1\",\n",
+    "    save_dir = \"./\",\n",
+    "    eumdac_key=\"trqBTCJCAQmTCZZkiA0Gt0Lfva4a\",\n",
+    "    eumdac_secret=\"14XYoaJGRnj3KdhqNYxb7knnKs4a\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-06-14 09:27:48.901\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mrs_tools._src.data.msg.download\u001b[0m:\u001b[36m_check_eumdac_login\u001b[0m:\u001b[36m224\u001b[0m - \u001b[1mEUMDAC login successful. Token '6cd4e71f-bed0-3b60-9d8e-3ac27bcaddc2' expires 2024-06-14 10:20:42.809850\u001b[0m\n",
+      "\u001b[32m2024-06-14 09:27:48.902\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mrs_tools._src.data.msg.download\u001b[0m:\u001b[36mmsg_download\u001b[0m:\u001b[36m95\u001b[0m - \u001b[1mData Product: EO:EUM:DAT:MSG:HRSEVIRI\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Times to check:  2020-10-01 09:55:00 2020-10-01 09:55:00\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Time - 2020-10-01 09:55:00: 100%|██████████| 1/1 [00:10<00:00, 10.86s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Successfully downloaded MSG4-SEVI-MSG15-0100-NA-20201001095743.710000000Z-NA.nat.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# worked with previous version\n",
+    "files = msg_download(\n",
+    "    start_date='2020-10-01',\n",
+    "    end_date ='2020-10-01',\n",
+    "    start_time='09:55:00', # EUMDAC did not find any data for 00:00:00\n",
+    "    end_time='10:05:00', # EUMDAC did not find any data for 23:59:00\n",
+    "    # daily_window_t0='00:00:00',\n",
+    "    # daily_window_t1='23:59:00',\n",
+    "    time_step='00:15:00', # choose 1 hr because the start/end-time has priority\n",
+    "    satellite=\"MSG\",\n",
+    "    instrument=\"HRSEVIRI\",\n",
+    "    processing_level= \"L1\",\n",
+    "    save_dir = \"./\",\n",
+    "    eumdac_key=\"trqBTCJCAQmTCZZkiA0Gt0Lfva4a\",\n",
+    "    eumdac_secret=\"14XYoaJGRnj3KdhqNYxb7knnKs4a\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/home/freischem/rs_tools'"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pwd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "rs_tools",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/rs_tools/_src/data/msg/download.py b/rs_tools/_src/data/msg/download.py
index 11f5910..a96c26c 100644
--- a/rs_tools/_src/data/msg/download.py
+++ b/rs_tools/_src/data/msg/download.py
@@ -154,17 +154,15 @@ def is_in_between(date):
 
         sub_files_list = _download(time=itime, data_product=data_product, save_dir=save_dir, datastore=datastore)
         if sub_files_list is None:
-            if itime != list_of_dates[-1]:
-                logger.info(f"Could not find data for time {itime}. Trying to add 5 mins to timestamp.")
-                time_delta = timedelta(hours=0, minutes=5, seconds=0)
-                itime_5 = itime+ time_delta
-                sub_files_list = _download(time=itime_5, data_product=data_product, save_dir=save_dir, datastore=datastore)
+            logger.info(f"Could not find data for time {itime}. Trying to remove 5 mins from timestamp {itime}.")
+            time_delta = timedelta(hours=0, minutes=5, seconds=0)
+            itime_minus5 = itime - time_delta
+            sub_files_list = _download(time=itime_minus5, data_product=data_product, save_dir=save_dir, datastore=datastore)
         if sub_files_list is None:
-            if itime != list_of_dates[-1]:
-                logger.info(f"Could not find data for time {itime}. Trying to add 10 mins to timestamp.")
-                time_delta = timedelta(hours=0, minutes=10, seconds=0)
-                itime_10 = itime+ time_delta
-                sub_files_list = _download(time=itime_10, data_product=data_product, save_dir=save_dir, datastore=datastore)
+            logger.info(f"Could not find data for time {itime_minus5}. Trying to add 5 mins to timestamp {itime}.")
+            time_delta = timedelta(hours=0, minutes=5, seconds=0)
+            itime_plus5 = itime+ time_delta
+            sub_files_list = _download(time=itime_plus5, data_product=data_product, save_dir=save_dir, datastore=datastore)
 
         if sub_files_list is None:
             logger.info(f"Could not find data for time {itime}. Skipping to next time.")

From 20257be490aceb9fab02574aa50696d7337bd25a Mon Sep 17 00:00:00 2001
From: annajungbluth <anna.jungbluth1993@gmail.com>
Date: Fri, 14 Jun 2024 15:51:45 +0000
Subject: [PATCH 4/4] added script to download msg data with modis overpasses

---
 config/esl-3dclouds/download.yaml             |  16 ++
 config/esl-3dclouds/geoprocess.yaml           |   8 +
 config/esl-3dclouds/main.yaml                 |   7 +
 config/esl-3dclouds/patch.yaml                |  18 ++
 config/esl-3dclouds/satellite/aqua.yaml       |  25 +++
 config/esl-3dclouds/satellite/msg.yaml        |  26 +++
 notebooks/dev/modis/0.2-MODIS-download.ipynb  | 192 +++++++-----------
 rs_tools/__main__.py                          |   2 +-
 rs_tools/_src/data/modis/__init__.py          |  61 +++++-
 rs_tools/_src/data/msg/downloader_msg.py      |   2 +-
 .../msg/downloader_msg_(modis_overpass).py    | 159 +++++++++++++++
 11 files changed, 395 insertions(+), 121 deletions(-)
 create mode 100644 config/esl-3dclouds/download.yaml
 create mode 100644 config/esl-3dclouds/geoprocess.yaml
 create mode 100644 config/esl-3dclouds/main.yaml
 create mode 100644 config/esl-3dclouds/patch.yaml
 create mode 100644 config/esl-3dclouds/satellite/aqua.yaml
 create mode 100644 config/esl-3dclouds/satellite/msg.yaml
 create mode 100644 rs_tools/_src/data/msg/downloader_msg_(modis_overpass).py

diff --git a/config/esl-3dclouds/download.yaml b/config/esl-3dclouds/download.yaml
new file mode 100644
index 0000000..bd9b1a1
--- /dev/null
+++ b/config/esl-3dclouds/download.yaml
@@ -0,0 +1,16 @@
+# PERIOD
+period:
+  start_date: '2010-01-01'
+  start_time: '00:00:01'
+  end_date: '2010-06-30'
+  end_time: '23:59:59'
+
+# CLOUD MASK
+cloud_mask: True
+  
+# PATH FOR SAVING DATA
+save_dir: /mnt/disks/data/msg/2010
+
+defaults:
+  - _self_
+  
diff --git a/config/esl-3dclouds/geoprocess.yaml b/config/esl-3dclouds/geoprocess.yaml
new file mode 100644
index 0000000..c9e4e09
--- /dev/null
+++ b/config/esl-3dclouds/geoprocess.yaml
@@ -0,0 +1,8 @@
+# PATH WITH RAW DATA
+read_path: /mnt/disks/data/miniset/
+
+# PATH FOR SAVING GEOPROCESSED DATA
+save_path: /mnt/disks/data/miniset-full-disk/
+
+defaults:
+  - _self_
diff --git a/config/esl-3dclouds/main.yaml b/config/esl-3dclouds/main.yaml
new file mode 100644
index 0000000..fba8caa
--- /dev/null
+++ b/config/esl-3dclouds/main.yaml
@@ -0,0 +1,7 @@
+defaults:
+  - download
+  - geoprocess
+  - patch
+  - satellite: aqua
+
+stage: download
\ No newline at end of file
diff --git a/config/esl-3dclouds/patch.yaml b/config/esl-3dclouds/patch.yaml
new file mode 100644
index 0000000..e5759b6
--- /dev/null
+++ b/config/esl-3dclouds/patch.yaml
@@ -0,0 +1,18 @@
+# PATH WITH GEOPROCESSED DATA
+read_path: /mnt/disks/data/miniset/
+
+# PATH FOR SAVING PATCHES
+save_path: /mnt/disks/data/miniset/
+
+# PATCH PARAMETERS
+patch_size: 256
+stride_size: 256
+
+# NAN CUTOFF: maximum allowed ratio of nan values to nonan values in a patch
+nan_cutoff: 0.1
+
+# FILETYPE TO SAVE [nc = netcdf, np = numpy]
+save_filetype: nc
+
+defaults:
+  - _self_
\ No newline at end of file
diff --git a/config/esl-3dclouds/satellite/aqua.yaml b/config/esl-3dclouds/satellite/aqua.yaml
new file mode 100644
index 0000000..c73da98
--- /dev/null
+++ b/config/esl-3dclouds/satellite/aqua.yaml
@@ -0,0 +1,25 @@
+download:
+  _target_: rs_tools._src.data.modis.downloader_aqua.download
+  save_dir: ${save_dir}
+  start_date: ${period.start_date}
+  start_time: ${period.start_time}
+  end_date: ${period.end_date}
+  end_time: ${period.end_time}
+  region: "-180 -90 180 90" # "lon_min lat_min lon_max lat_max"
+
+geoprocess:
+  _target_: rs_tools._src.geoprocessing.modis.geoprocessor_modis.geoprocess
+  read_path: ${read_path}/aqua/raw
+  save_path: ${save_path}/aqua/geoprocessed
+  satellite: aqua
+
+# preprocess:
+
+patch:
+  _target_: rs_tools._src.preprocessing.prepatcher.prepatch
+  read_path: ${read_path}/aqua/geoprocessed
+  save_path: ${save_path}/aqua/analysis
+  patch_size: ${patch_size}
+  stride_size: ${stride_size}
+  nan_cutoff: ${nan_cutoff}
+  save_filetype: ${save_filetype}
\ No newline at end of file
diff --git a/config/esl-3dclouds/satellite/msg.yaml b/config/esl-3dclouds/satellite/msg.yaml
new file mode 100644
index 0000000..618bb40
--- /dev/null
+++ b/config/esl-3dclouds/satellite/msg.yaml
@@ -0,0 +1,26 @@
+download:
+  _target_: rs_tools._src.data.msg.downloader_msg_(modis_overpass).download
+  save_dir: ${save_dir}
+  start_date: ${period.start_date}
+  start_time: ${period.start_time}
+  end_date: ${period.end_date}
+  end_time: ${period.end_time}
+
+geoprocess:
+  _target_: rs_tools._src.geoprocessing.msg.geoprocessor_msg.geoprocess
+  read_path: ${read_path}/msg/raw
+  save_path: ${save_path}/msg/geoprocessed
+  resolution: null
+  region: "-70 -15 20 5"
+  resample_method: bilinear
+
+# preprocess:
+
+patch:
+  _target_: rs_tools._src.preprocessing.prepatcher.prepatch
+  read_path: ${read_path}/msg/geoprocessed
+  save_path: ${save_path}/msg/analysis
+  patch_size: ${patch_size}
+  stride_size: ${stride_size}
+  nan_cutoff: ${nan_cutoff}
+  save_filetype: ${save_filetype}
\ No newline at end of file
diff --git a/notebooks/dev/modis/0.2-MODIS-download.ipynb b/notebooks/dev/modis/0.2-MODIS-download.ipynb
index 4e9ca3e..58ec408 100644
--- a/notebooks/dev/modis/0.2-MODIS-download.ipynb
+++ b/notebooks/dev/modis/0.2-MODIS-download.ipynb
@@ -206,33 +206,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "d1c63a79",
+   "execution_count": 21,
+   "id": "903a96e2",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# EARTHDATA_USERNAME \n",
-    "# EARTHDATA_PASSWORD \n",
-    "# environment variables\n",
-    "\n",
+    "import autoroot\n",
     "import os\n",
-    "os.environ['EARTHDATA_USERNAME'] = 'Lillie'\n",
-    "os.environ['EARTHDATA_PASSWORD'] = 'pivqet-Vudpyk-dapcy9'"
+    "import earthaccess\n",
+    "import xarray as xr\n",
+    "from dataclasses import dataclass\n",
+    "from datetime import datetime, timedelta\n",
+    "\n",
+    "from rs_tools._src.data.msg.download import msg_download\n",
+    "from rs_tools._src.data.msg import MSGFileName"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
+   "id": "d1c63a79",
    "metadata": {},
    "outputs": [],
    "source": [
-    "import earthaccess\n",
-    "import xarray as xr"
+    "# EARTHDATA_USERNAME \n",
+    "# EARTHDATA_PASSWORD \n",
+    "# environment variables\n",
+    "\n",
+    "os.environ['EARTHDATA_USERNAME'] = ''\n",
+    "os.environ['EARTHDATA_PASSWORD'] = ''"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "5201d291",
    "metadata": {},
    "outputs": [
@@ -259,7 +266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -268,7 +275,7 @@
        "('2018-10-01T10:30:00.000Z', '2018-10-01T10:35:00.000Z')"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -303,43 +310,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import autoroot"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/envs/rs_tools/lib/python3.11/site-packages/goes2go/data.py:519: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
-      "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n",
-      "/opt/conda/envs/rs_tools/lib/python3.11/site-packages/goes2go/NEW.py:188: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.\n",
-      "  within=pd.to_timedelta(config[\"nearesttime\"].get(\"within\", \"1H\")),\n"
-     ]
-    }
-   ],
-   "source": [
-    "from rs_tools._src.data.msg.download import msg_download"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 13,
    "id": "a027bb10",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from dataclasses import dataclass\n",
-    "from datetime import datetime\n",
-    "\n",
     "def modis_granule_to_datetime(granule: earthaccess.results.DataGranule) -> datetime:\n",
     "    \"\"\"\n",
     "    Function to convert a MODIS granule to a datetime object.\n",
@@ -351,7 +326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -360,7 +335,7 @@
        "(datetime.datetime(2018, 10, 1, 10, 30), '2018-10-01', '10:30:00')"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -371,80 +346,95 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(2018, 10, 1, 10, 30, 0, '2018-10-01', '10:30:00')"
+       "(datetime.date(2018, 10, 1), datetime.time(10, 30))"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "from datetime import datetime\n",
-    "\n",
-    "t_test = datetime.strptime(t0.time_stamp, \"%Y-%m-%dT%H:%M:%S.%fZ\")\n",
-    "t_test.year, t_test.month, t_test.day, t_test.hour, t_test.minute, t_test.second, str(t_test.date()), str(t_test.time())"
+    "t0 = modis_granule_to_datetime(granule)\n",
+    "t0.date(), t0.time()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 30,
+   "id": "8bb82428",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "('2018-10-01', '10:30:00', '2018-10-01', '10:35:00')"
+       "datetime.datetime(2018, 10, 1, 10, 40)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "t0.day, t0.time, t1.day, t1.time"
+    "t0 + timedelta(minutes = 10)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "('2018-10-01', '10:30:00')"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-06-14 14:50:26.194\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mrs_tools._src.data.msg.download\u001b[0m:\u001b[36m_check_eumdac_login\u001b[0m:\u001b[36m222\u001b[0m - \u001b[1mEUMDAC login successful. Token '0e8f00b4-8c9f-335b-9d0a-b78f1b18e7a2' expires 2024-06-14 15:38:14.119271\u001b[0m\n",
+      "\u001b[32m2024-06-14 14:50:26.195\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mrs_tools._src.data.msg.download\u001b[0m:\u001b[36mmsg_download\u001b[0m:\u001b[36m95\u001b[0m - \u001b[1mData Product: EO:EUM:DAT:MSG:HRSEVIRI\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Times to check:  2018-10-01 10:30:00 2018-10-01 10:30:00\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Time - 2018-10-01 10:30:00:   0%|          | 0/1 [00:00<?, ?it/s]\u001b[32m2024-06-14 14:50:26.468\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mrs_tools._src.data.msg.download\u001b[0m:\u001b[36mmsg_download\u001b[0m:\u001b[36m157\u001b[0m - \u001b[1mCould not find data for time 2018-10-01 10:30:00. Trying to remove 5 mins from timestamp 2018-10-01 10:30:00.\u001b[0m\n",
+      "Time - 2018-10-01 10:30:00: 100%|██████████| 1/1 [00:22<00:00, 22.43s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Successfully downloaded MSG4-SEVI-MSG15-0100-NA-20181001102742.940000000Z-NA.nat.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
     }
    ],
-   "source": [
-    "day, time = t0.split('T')\n",
-    "time = time.split('.')[0]\n",
-    "day, time"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
    "source": [
     "files = msg_download(\n",
-    "    start_date='2020-10-01',\n",
-    "    end_date ='2020-10-01',\n",
-    "    start_time='09:55:00', # EUMDAC did not find any data for 00:00:00\n",
-    "    end_time='10:05:00', # EUMDAC did not find any data for 23:59:00\n",
+    "    start_date = str(t0.date()),\n",
+    "    end_date = str(t0.date()),\n",
+    "    start_time= str(t0.time()), # EUMDAC did not find any data for 00:00:00\n",
+    "    end_time= str((t0 + timedelta(minutes = 10)).time()), # EUMDAC did not find any data for 23:59:00\n",
     "    # daily_window_t0='00:00:00',\n",
     "    # daily_window_t1='23:59:00',\n",
     "    time_step='00:15:00', # choose 1 hr because the start/end-time has priority\n",
@@ -483,40 +473,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[Collection: {'ShortName': 'MOD35_L2', 'Version': '6.1'}\n",
-       " Spatial coverage: {'HorizontalSpatialDomain': {'Geometry': {'GPolygons': [{'Boundary': {'Points': [{'Longitude': -7.820944, 'Latitude': 48.615273}, {'Longitude': 22.900313, 'Latitude': 44.459754}, {'Longitude': 38.493195, 'Latitude': 60.213084}, {'Longitude': -8.461157, 'Latitude': 66.899476}, {'Longitude': -7.820944, 'Latitude': 48.615273}]}}]}}}\n",
-       " Temporal coverage: {'RangeDateTime': {'BeginningDateTime': '2018-10-01T10:30:00.000Z', 'EndingDateTime': '2018-10-01T10:35:00.000Z'}}\n",
-       " Size(MB): 14.6982021331787\n",
-       " Data: ['https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/61/MOD35_L2/2018/274/MOD35_L2.A2018274.1030.061.2018274200426.hdf'],\n",
-       " Collection: {'ShortName': 'MOD35_L2', 'Version': '6.1'}\n",
-       " Spatial coverage: {'HorizontalSpatialDomain': {'Geometry': {'GPolygons': [{'Boundary': {'Points': [{'Longitude': -9.762663, 'Latitude': 30.785606}, {'Longitude': 14.294732, 'Latitude': 27.52965}, {'Longitude': 22.400958, 'Latitude': 44.682586}, {'Longitude': -8.148924, 'Latitude': 49.069527}, {'Longitude': -9.762663, 'Latitude': 30.785606}]}}]}}}\n",
-       " Temporal coverage: {'RangeDateTime': {'BeginningDateTime': '2018-10-01T10:35:00.000Z', 'EndingDateTime': '2018-10-01T10:40:00.000Z'}}\n",
-       " Size(MB): 13.5618104934692\n",
-       " Data: ['https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/61/MOD35_L2/2018/274/MOD35_L2.A2018274.1035.061.2018274200322.hdf'],\n",
-       " Collection: {'ShortName': 'MOD35_L2', 'Version': '6.1'}\n",
-       " Spatial coverage: {'HorizontalSpatialDomain': {'Geometry': {'GPolygons': [{'Boundary': {'Points': [{'Longitude': -12.580666, 'Latitude': 12.885638}, {'Longitude': 8.697335, 'Latitude': 9.922978}, {'Longitude': 13.946976, 'Latitude': 27.684994}, {'Longitude': -9.932858, 'Latitude': 31.152089}, {'Longitude': -12.580666, 'Latitude': 12.885638}]}}]}}}\n",
-       " Temporal coverage: {'RangeDateTime': {'BeginningDateTime': '2018-10-01T10:40:00.000Z', 'EndingDateTime': '2018-10-01T10:45:00.000Z'}}\n",
-       " Size(MB): 11.6352920532227\n",
-       " Data: ['https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/61/MOD35_L2/2018/274/MOD35_L2.A2018274.1040.061.2018274200412.hdf']]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 7,
diff --git a/rs_tools/__main__.py b/rs_tools/__main__.py
index d2e40da..0d0aa00 100644
--- a/rs_tools/__main__.py
+++ b/rs_tools/__main__.py
@@ -15,7 +15,7 @@
 
 # TODO add option to provide config path via command line
 
-@hydra.main(config_path="../config/miniset/", config_name="main", version_base="1.3")
+@hydra.main(config_path="../config/esl-3dclouds/", config_name="main", version_base="1.3")
 def main(cfg):
     # instantiate the config 
     logger.debug(f"Choosing Stage...")
diff --git a/rs_tools/_src/data/modis/__init__.py b/rs_tools/_src/data/modis/__init__.py
index cc5e32a..247d857 100644
--- a/rs_tools/_src/data/modis/__init__.py
+++ b/rs_tools/_src/data/modis/__init__.py
@@ -1,7 +1,9 @@
+import os
 from typing import List
 from dataclasses import dataclass
 from pathlib import Path
 from datetime import datetime
+import earthaccess
 
 # TODO: Expand mapping to other resolutions (250m, 500m)
 MODIS_NAME_TO_ID= dict(
@@ -155,4 +157,61 @@ def get_modis_paired_files(files: List[MODISFileName], satellite="aqua"):
     
         paired[itime] = ifile
 
-    return paired
\ No newline at end of file
+    return paired
+
+
+def query_modis_timestamps(
+        short_name: str,
+        bounding_box: tuple,
+        temporal: tuple,
+        ):
+    """
+    Function to query the Earthdata API for MODIS data timestamps.
+    :param short_name: MODIS short name (e.g. 'MOD021KM' for Terra MODIS Level 1B data at 1km resolution)
+    :param bounding_box (tuple, optional): The region to be queried. Follows format (min_lon, min_lat, max_lon, max_lat).
+    :param temporal: Min and max date/time to be queried. Follows format (start_datetime: YYYY-MM-DD HH:MM:SS, end_datetime: YYYY-MM-DD HH:MM:SS).
+    :return: result object
+    """
+    results = earthaccess.search_data(
+        short_name=short_name,
+        cloud_hosted=True,
+        bounding_box=bounding_box,
+        temporal=temporal,
+        count=-1
+    )
+    return results
+
+
+def modis_granule_to_datetime(granule: earthaccess.results.DataGranule) -> datetime:
+    """
+    Function to convert a MODIS granule to a datetime object.
+    :param granule: MODIS granule
+    :return: datetime object
+    """
+    return datetime.strptime(granule['umm']['TemporalExtent']['RangeDateTime']['BeginningDateTime'], "%Y-%m-%dT%H:%M:%S.%fZ")
+
+
+def _check_earthdata_login() -> bool:
+    """check if earthdata login is available in environment variables"""
+
+    if os.environ.get("EARTHDATA_USERNAME") is None or os.environ.get("EARTHDATA_PASSWORD") is None:
+        msg = "Please set your Earthdata credentials as environment variables using:"
+        msg += "\nexport EARTHDATA_USERNAME=<your username>"
+        msg += "\nexport EARTHDATA_PASSWORD=<your password>"
+        msg += "\nOr provide them as command line arguments using:"
+        msg += "\n--earthdata-username <your username> --earthdata-password <your password>"
+        raise ValueError(msg)
+    
+    # check if credentials are valid
+    auth_obj = earthaccess.login('environment')
+
+    if auth_obj.authenticated: 
+        return True
+    else:
+        msg = "Earthdata login failed."
+        msg += "\nPlease check your credentials and set them as environment variables using:"
+        msg += "\nexport EARTHDATA_USERNAME=<your username>"
+        msg += "\nexport EARTHDATA_PASSWORD=<your password>"
+        msg += "\nOr provide them as command line arguments using:"
+        msg += "\n--earthdata-username <your username> --earthdata-password <your password>"
+        raise ValueError(msg)
\ No newline at end of file
diff --git a/rs_tools/_src/data/msg/downloader_msg.py b/rs_tools/_src/data/msg/downloader_msg.py
index 8c31ce4..2c15dc1 100644
--- a/rs_tools/_src/data/msg/downloader_msg.py
+++ b/rs_tools/_src/data/msg/downloader_msg.py
@@ -76,7 +76,7 @@ def download(
         daily_window_t0 (str): The start time of the daily window (format: 'HH:MM:SS')
         daily_window_t1 (str): The end time of the daily window (format: 'HH:MM:SS')
         time_step (str): The time step between consecutive data downloads (format: 'HH:MM:SS')
-        save_path (str): The path to save the downloaded data
+        save_dir (str): The path to save the downloaded data
         cloud_mask (bool, optional): Whether to download the cloud mask data (default: True)
 
     Returns:
diff --git a/rs_tools/_src/data/msg/downloader_msg_(modis_overpass).py b/rs_tools/_src/data/msg/downloader_msg_(modis_overpass).py
new file mode 100644
index 0000000..2555f59
--- /dev/null
+++ b/rs_tools/_src/data/msg/downloader_msg_(modis_overpass).py
@@ -0,0 +1,159 @@
+import typer
+import tqdm
+import autoroot
+from loguru import logger
+from datetime import datetime, timedelta
+import numpy as np
+import pandas as pd
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+
+from rs_tools import msg_download
+from rs_tools._src.data.modis import _check_earthdata_login, modis_granule_to_datetime, query_modis_timestamps
+from rs_tools._src.data.msg import MSGFileName
+
+@dataclass
+class MSGDownload:
+    """Downloading class for MSG data and cloud mask"""
+    start_date: str
+    end_date: str 
+    start_time: str 
+    end_time: str 
+    daily_window_t0: str  
+    daily_window_t1: str  
+    time_step: str
+    save_dir: str 
+
+    def download(self) -> List[str]:
+        msg_files = msg_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time,
+            end_time=self.end_time,
+            daily_window_t0=self.daily_window_t0, 
+            daily_window_t1=self.daily_window_t1, 
+            time_step=self.time_step,
+            satellite="MSG",
+            save_dir=Path(self.save_dir).joinpath("L1b"),
+            instrument="HRSEVIRI",
+            processing_level='L1',
+        )
+        return msg_files
+    
+    def download_cloud_mask(self) -> List[str]:
+        msg_files = msg_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time,
+            end_time=self.end_time,
+            daily_window_t0=self.daily_window_t0, 
+            daily_window_t1=self.daily_window_t1, 
+            time_step=self.time_step,
+            satellite="MSG",
+            save_dir=Path(self.save_dir).joinpath("CM"),
+            instrument="CLM",
+            processing_level='L1',
+        )
+        return msg_files
+    
+
+def download(
+        modis_product: str="MYD021KM", # TODO: Add advanced data product mapping
+        start_date: str="2020-10-02",
+        end_date: str="2020-10-02", 
+        start_time: str="00:00:00", 
+        end_time: str="00:15:00", 
+        save_dir: str='./data/', 
+        cloud_mask: bool = True
+):
+    """
+    Downloads MSG data including cloud mask 
+
+    Args:
+        modis_product (str): The MODIS product to download (default: 'MYD021KM', i.e. Aqua at 1km resolution)
+        start_date (str): The start date of the data to download (format: 'YYYY-MM-DD')
+        end_date (str): The end date of the data to download (format: 'YYYY-MM-DD')
+        start_time (str): The start time of the data to download (format: 'HH:MM:SS')
+        end_time (str): The end time of the data to download (format: 'HH:MM:SS')
+        save_dir (str): The path to save the downloaded data
+        cloud_mask (bool, optional): Whether to download the cloud mask data (default: True)
+
+    Returns:
+        List[str]: List of downloaded file names
+    """
+    list_modis_times = []
+    list_msg_times = []
+    list_msg_cm_times = []
+
+    logger.info("Querying MODIS overpasses for MSG field-of-view and specified time period...")
+    # Check EartData login
+    _check_earthdata_login()
+    # Compile MODIS timestamp tuple
+    start_datetime_str = start_date + ' ' + start_time
+    end_datetime_str = end_date + ' ' + end_time
+    # Query MODIS timestamps
+    modis_results = query_modis_timestamps(
+        short_name=modis_product,
+        bounding_box=(-70, -70, 70, 70), # Approximate field of view of MSG
+        temporal=(start_datetime_str, end_datetime_str)
+    )
+    logger.info(f"Found {len(modis_results)} MODIS granules for MSG field-of-view and specified time period...")
+    # Extract MODIS timestamps
+    modis_timestamps = [modis_granule_to_datetime(x) for x in modis_results]
+
+    # create progress bar for dates
+    pbar_time = tqdm.tqdm(modis_timestamps)
+
+    # Initialize MSG Downloader
+    logger.info("Initializing MSG Downloader...")
+
+    for itime in pbar_time:
+        pbar_time.set_description(f"Time - {itime}")
+        end_itime = itime + timedelta(minutes=10)
+
+
+        dc_msg_download = MSGDownload(
+            start_date=str(itime.date()),
+            end_date=str(end_itime.date()),
+            start_time=str(itime.time()),
+            end_time=str(end_itime.time()),
+            daily_window_t0="00:00:00",
+            daily_window_t1="23:59:00",
+            time_step="00:15:00",
+            save_dir=Path(save_dir).joinpath("msg"),
+        )
+
+        msg_filenames = dc_msg_download.download()
+
+        if cloud_mask:
+            msg_cm_filenames = dc_msg_download.download_cloud_mask()
+
+        if len(msg_filenames) > 0: # Check if any files were downloaded
+            assert len(msg_filenames) == 1, "More than one MSG file was downloaded"
+            list_modis_times.append(str(itime))
+            
+            msg_filename = str(MSGFileName.from_filename(msg_filenames[0]).datetime_acquisition)
+            list_msg_times.append(msg_filename)
+
+            if cloud_mask:
+                assert len(msg_filenames) == len(msg_cm_filenames), "Different number of MSG and cloud mask files downloaded"
+                msg_cm_filename = str(MSGFileName.from_filename(msg_cm_filenames[0]).datetime_acquisition)
+                list_msg_cm_times.append(msg_cm_filename)
+    
+    logger.info("Finished Data Download...")
+    # Compile summary file
+    logger.info("Compiling summary file...")
+    df = pd.DataFrame()
+    df['MODIS'] = list_modis_times
+    df['MSG'] = list_msg_times
+    if cloud_mask:
+        df['MSG_cloudmask'] = list_msg_cm_times
+    df.to_csv(Path(save_dir).joinpath("msg-modis-timestamps.csv"), index=False)
+
+    logger.info("Done!")
+    logger.info("Finished MSG Downloading Script...")
+
+if __name__ == '__main__':
+    typer.run(download)
\ No newline at end of file